diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,204256 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9999963276473073, + "eval_steps": 500, + "global_step": 34038, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 9.784735812133073e-09, + "loss": 1.9764, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 1.9569471624266147e-08, + "loss": 2.1665, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 2.935420743639922e-08, + "loss": 2.1794, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 3.9138943248532294e-08, + "loss": 2.6088, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 4.892367906066536e-08, + "loss": 1.9046, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 5.870841487279844e-08, + "loss": 2.6421, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 6.84931506849315e-08, + "loss": 2.2225, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 7.827788649706459e-08, + "loss": 1.9547, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 8.806262230919766e-08, + "loss": 2.0641, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 9.784735812133072e-08, + "loss": 2.117, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 1.076320939334638e-07, + "loss": 2.4976, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 1.1741682974559687e-07, + "loss": 1.8748, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 1.2720156555772994e-07, + "loss": 2.2333, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 1.36986301369863e-07, + "loss": 2.2555, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 1.4677103718199608e-07, + "loss": 2.2887, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 1.5655577299412917e-07, + "loss": 1.8802, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 1.6634050880626224e-07, + "loss": 2.0031, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 1.761252446183953e-07, + "loss": 3.0269, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 1.8590998043052838e-07, + "loss": 2.1901, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 1.9569471624266145e-07, + "loss": 2.437, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 2.0547945205479452e-07, + "loss": 2.3827, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 2.152641878669276e-07, + "loss": 2.5037, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 2.2504892367906068e-07, + "loss": 2.3697, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 2.3483365949119375e-07, + "loss": 2.3518, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 2.446183953033268e-07, + "loss": 2.1833, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 2.544031311154599e-07, + "loss": 2.0288, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 2.6418786692759295e-07, + "loss": 2.0767, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 2.73972602739726e-07, + "loss": 2.9642, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 2.837573385518591e-07, + "loss": 1.9105, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 2.9354207436399216e-07, + "loss": 2.969, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 3.0332681017612523e-07, + "loss": 1.8885, + "step": 31 + }, + { + "epoch": 0.0, + "learning_rate": 3.1311154598825835e-07, + "loss": 1.9225, + "step": 32 + }, + { + "epoch": 0.0, + "learning_rate": 3.228962818003914e-07, + "loss": 2.1803, + "step": 33 + }, + { + "epoch": 0.0, + "learning_rate": 3.326810176125245e-07, + "loss": 2.6559, + "step": 34 + }, + { + "epoch": 0.0, + "learning_rate": 3.4246575342465755e-07, + "loss": 1.8351, + "step": 35 + }, + { + "epoch": 0.0, + "learning_rate": 3.522504892367906e-07, + "loss": 2.3559, + "step": 36 + }, + { + "epoch": 0.0, + "learning_rate": 3.620352250489237e-07, + "loss": 1.9621, + "step": 37 + }, + { + "epoch": 0.0, + "learning_rate": 3.7181996086105676e-07, + "loss": 1.8805, + "step": 38 + }, + { + "epoch": 0.0, + "learning_rate": 3.8160469667318983e-07, + "loss": 2.205, + "step": 39 + }, + { + "epoch": 0.0, + "learning_rate": 3.913894324853229e-07, + "loss": 2.5416, + "step": 40 + }, + { + "epoch": 0.0, + "learning_rate": 4.0117416829745596e-07, + "loss": 2.0358, + "step": 41 + }, + { + "epoch": 0.0, + "learning_rate": 4.1095890410958903e-07, + "loss": 2.4081, + "step": 42 + }, + { + "epoch": 0.0, + "learning_rate": 4.207436399217221e-07, + "loss": 2.42, + "step": 43 + }, + { + "epoch": 0.0, + "learning_rate": 4.305283757338552e-07, + "loss": 2.5729, + "step": 44 + }, + { + "epoch": 0.0, + "learning_rate": 4.403131115459883e-07, + "loss": 2.2779, + "step": 45 + }, + { + "epoch": 0.0, + "learning_rate": 4.5009784735812136e-07, + "loss": 2.3952, + "step": 46 + }, + { + "epoch": 0.0, + "learning_rate": 4.5988258317025443e-07, + "loss": 2.2482, + "step": 47 + }, + { + "epoch": 0.0, + "learning_rate": 4.696673189823875e-07, + "loss": 1.9696, + "step": 48 + }, + { + "epoch": 0.0, + "learning_rate": 4.794520547945206e-07, + "loss": 2.4231, + "step": 49 + }, + { + "epoch": 0.0, + "learning_rate": 4.892367906066536e-07, + "loss": 2.9298, + "step": 50 + }, + { + "epoch": 0.0, + "learning_rate": 4.990215264187867e-07, + "loss": 2.0942, + "step": 51 + }, + { + "epoch": 0.0, + "learning_rate": 5.088062622309198e-07, + "loss": 2.1829, + "step": 52 + }, + { + "epoch": 0.0, + "learning_rate": 5.185909980430528e-07, + "loss": 1.8214, + "step": 53 + }, + { + "epoch": 0.0, + "learning_rate": 5.283757338551859e-07, + "loss": 2.2474, + "step": 54 + }, + { + "epoch": 0.0, + "learning_rate": 5.38160469667319e-07, + "loss": 1.9289, + "step": 55 + }, + { + "epoch": 0.0, + "learning_rate": 5.47945205479452e-07, + "loss": 2.512, + "step": 56 + }, + { + "epoch": 0.0, + "learning_rate": 5.577299412915851e-07, + "loss": 1.9687, + "step": 57 + }, + { + "epoch": 0.0, + "learning_rate": 5.675146771037182e-07, + "loss": 2.3422, + "step": 58 + }, + { + "epoch": 0.0, + "learning_rate": 5.772994129158512e-07, + "loss": 1.9673, + "step": 59 + }, + { + "epoch": 0.0, + "learning_rate": 5.870841487279843e-07, + "loss": 2.0229, + "step": 60 + }, + { + "epoch": 0.0, + "learning_rate": 5.968688845401174e-07, + "loss": 2.0305, + "step": 61 + }, + { + "epoch": 0.0, + "learning_rate": 6.066536203522505e-07, + "loss": 2.4014, + "step": 62 + }, + { + "epoch": 0.0, + "learning_rate": 6.164383561643836e-07, + "loss": 2.6102, + "step": 63 + }, + { + "epoch": 0.0, + "learning_rate": 6.262230919765167e-07, + "loss": 2.2259, + "step": 64 + }, + { + "epoch": 0.0, + "learning_rate": 6.360078277886498e-07, + "loss": 2.108, + "step": 65 + }, + { + "epoch": 0.0, + "learning_rate": 6.457925636007828e-07, + "loss": 1.7617, + "step": 66 + }, + { + "epoch": 0.0, + "learning_rate": 6.555772994129159e-07, + "loss": 2.0193, + "step": 67 + }, + { + "epoch": 0.0, + "learning_rate": 6.65362035225049e-07, + "loss": 1.3576, + "step": 68 + }, + { + "epoch": 0.0, + "learning_rate": 6.75146771037182e-07, + "loss": 1.8961, + "step": 69 + }, + { + "epoch": 0.0, + "learning_rate": 6.849315068493151e-07, + "loss": 1.8149, + "step": 70 + }, + { + "epoch": 0.0, + "learning_rate": 6.947162426614482e-07, + "loss": 2.0332, + "step": 71 + }, + { + "epoch": 0.0, + "learning_rate": 7.045009784735812e-07, + "loss": 1.9588, + "step": 72 + }, + { + "epoch": 0.0, + "learning_rate": 7.142857142857143e-07, + "loss": 1.6819, + "step": 73 + }, + { + "epoch": 0.0, + "learning_rate": 7.240704500978474e-07, + "loss": 2.1399, + "step": 74 + }, + { + "epoch": 0.0, + "learning_rate": 7.338551859099805e-07, + "loss": 1.9884, + "step": 75 + }, + { + "epoch": 0.0, + "learning_rate": 7.436399217221135e-07, + "loss": 1.8812, + "step": 76 + }, + { + "epoch": 0.0, + "learning_rate": 7.534246575342466e-07, + "loss": 1.8352, + "step": 77 + }, + { + "epoch": 0.0, + "learning_rate": 7.632093933463797e-07, + "loss": 1.7412, + "step": 78 + }, + { + "epoch": 0.0, + "learning_rate": 7.729941291585127e-07, + "loss": 1.7072, + "step": 79 + }, + { + "epoch": 0.0, + "learning_rate": 7.827788649706458e-07, + "loss": 1.7391, + "step": 80 + }, + { + "epoch": 0.0, + "learning_rate": 7.925636007827789e-07, + "loss": 1.6669, + "step": 81 + }, + { + "epoch": 0.0, + "learning_rate": 8.023483365949119e-07, + "loss": 1.5748, + "step": 82 + }, + { + "epoch": 0.0, + "learning_rate": 8.12133072407045e-07, + "loss": 1.6812, + "step": 83 + }, + { + "epoch": 0.0, + "learning_rate": 8.219178082191781e-07, + "loss": 1.5726, + "step": 84 + }, + { + "epoch": 0.0, + "learning_rate": 8.317025440313111e-07, + "loss": 1.2959, + "step": 85 + }, + { + "epoch": 0.0, + "learning_rate": 8.414872798434442e-07, + "loss": 1.5835, + "step": 86 + }, + { + "epoch": 0.0, + "learning_rate": 8.512720156555773e-07, + "loss": 1.2867, + "step": 87 + }, + { + "epoch": 0.0, + "learning_rate": 8.610567514677104e-07, + "loss": 1.4708, + "step": 88 + }, + { + "epoch": 0.0, + "learning_rate": 8.708414872798435e-07, + "loss": 1.4306, + "step": 89 + }, + { + "epoch": 0.0, + "learning_rate": 8.806262230919766e-07, + "loss": 1.3101, + "step": 90 + }, + { + "epoch": 0.0, + "learning_rate": 8.904109589041097e-07, + "loss": 1.4189, + "step": 91 + }, + { + "epoch": 0.0, + "learning_rate": 9.001956947162427e-07, + "loss": 1.312, + "step": 92 + }, + { + "epoch": 0.0, + "learning_rate": 9.099804305283758e-07, + "loss": 1.4515, + "step": 93 + }, + { + "epoch": 0.0, + "learning_rate": 9.197651663405089e-07, + "loss": 1.3173, + "step": 94 + }, + { + "epoch": 0.0, + "learning_rate": 9.295499021526419e-07, + "loss": 1.456, + "step": 95 + }, + { + "epoch": 0.0, + "learning_rate": 9.39334637964775e-07, + "loss": 1.7789, + "step": 96 + }, + { + "epoch": 0.0, + "learning_rate": 9.491193737769081e-07, + "loss": 1.2349, + "step": 97 + }, + { + "epoch": 0.0, + "learning_rate": 9.589041095890411e-07, + "loss": 1.4657, + "step": 98 + }, + { + "epoch": 0.0, + "learning_rate": 9.68688845401174e-07, + "loss": 1.2532, + "step": 99 + }, + { + "epoch": 0.0, + "learning_rate": 9.784735812133073e-07, + "loss": 1.5885, + "step": 100 + }, + { + "epoch": 0.0, + "learning_rate": 9.882583170254404e-07, + "loss": 1.3226, + "step": 101 + }, + { + "epoch": 0.0, + "learning_rate": 9.980430528375734e-07, + "loss": 1.5893, + "step": 102 + }, + { + "epoch": 0.0, + "learning_rate": 1.0078277886497066e-06, + "loss": 1.2339, + "step": 103 + }, + { + "epoch": 0.0, + "learning_rate": 1.0176125244618395e-06, + "loss": 1.0579, + "step": 104 + }, + { + "epoch": 0.0, + "learning_rate": 1.0273972602739727e-06, + "loss": 1.395, + "step": 105 + }, + { + "epoch": 0.0, + "learning_rate": 1.0371819960861057e-06, + "loss": 1.2036, + "step": 106 + }, + { + "epoch": 0.0, + "learning_rate": 1.0469667318982389e-06, + "loss": 1.6821, + "step": 107 + }, + { + "epoch": 0.0, + "learning_rate": 1.0567514677103718e-06, + "loss": 1.7163, + "step": 108 + }, + { + "epoch": 0.0, + "learning_rate": 1.066536203522505e-06, + "loss": 1.304, + "step": 109 + }, + { + "epoch": 0.0, + "learning_rate": 1.076320939334638e-06, + "loss": 1.1773, + "step": 110 + }, + { + "epoch": 0.0, + "learning_rate": 1.0861056751467711e-06, + "loss": 1.4166, + "step": 111 + }, + { + "epoch": 0.0, + "learning_rate": 1.095890410958904e-06, + "loss": 1.3447, + "step": 112 + }, + { + "epoch": 0.0, + "learning_rate": 1.1056751467710373e-06, + "loss": 1.016, + "step": 113 + }, + { + "epoch": 0.0, + "learning_rate": 1.1154598825831702e-06, + "loss": 1.0478, + "step": 114 + }, + { + "epoch": 0.0, + "learning_rate": 1.1252446183953034e-06, + "loss": 1.5079, + "step": 115 + }, + { + "epoch": 0.0, + "learning_rate": 1.1350293542074364e-06, + "loss": 1.3976, + "step": 116 + }, + { + "epoch": 0.0, + "learning_rate": 1.1448140900195695e-06, + "loss": 1.2571, + "step": 117 + }, + { + "epoch": 0.0, + "learning_rate": 1.1545988258317025e-06, + "loss": 1.1433, + "step": 118 + }, + { + "epoch": 0.0, + "learning_rate": 1.1643835616438357e-06, + "loss": 1.4295, + "step": 119 + }, + { + "epoch": 0.0, + "learning_rate": 1.1741682974559686e-06, + "loss": 1.2609, + "step": 120 + }, + { + "epoch": 0.0, + "learning_rate": 1.1839530332681018e-06, + "loss": 1.1789, + "step": 121 + }, + { + "epoch": 0.0, + "learning_rate": 1.1937377690802348e-06, + "loss": 1.4767, + "step": 122 + }, + { + "epoch": 0.0, + "learning_rate": 1.203522504892368e-06, + "loss": 1.1358, + "step": 123 + }, + { + "epoch": 0.0, + "learning_rate": 1.213307240704501e-06, + "loss": 1.482, + "step": 124 + }, + { + "epoch": 0.0, + "learning_rate": 1.223091976516634e-06, + "loss": 1.3502, + "step": 125 + }, + { + "epoch": 0.0, + "learning_rate": 1.2328767123287673e-06, + "loss": 0.9635, + "step": 126 + }, + { + "epoch": 0.0, + "learning_rate": 1.2426614481409002e-06, + "loss": 1.2909, + "step": 127 + }, + { + "epoch": 0.0, + "learning_rate": 1.2524461839530334e-06, + "loss": 1.0344, + "step": 128 + }, + { + "epoch": 0.0, + "learning_rate": 1.2622309197651664e-06, + "loss": 1.094, + "step": 129 + }, + { + "epoch": 0.0, + "learning_rate": 1.2720156555772995e-06, + "loss": 1.3711, + "step": 130 + }, + { + "epoch": 0.0, + "learning_rate": 1.2818003913894325e-06, + "loss": 1.2936, + "step": 131 + }, + { + "epoch": 0.0, + "learning_rate": 1.2915851272015657e-06, + "loss": 1.0209, + "step": 132 + }, + { + "epoch": 0.0, + "learning_rate": 1.3013698630136986e-06, + "loss": 1.2832, + "step": 133 + }, + { + "epoch": 0.0, + "learning_rate": 1.3111545988258318e-06, + "loss": 1.3168, + "step": 134 + }, + { + "epoch": 0.0, + "learning_rate": 1.3209393346379648e-06, + "loss": 1.2125, + "step": 135 + }, + { + "epoch": 0.0, + "learning_rate": 1.330724070450098e-06, + "loss": 1.1353, + "step": 136 + }, + { + "epoch": 0.0, + "learning_rate": 1.340508806262231e-06, + "loss": 0.9498, + "step": 137 + }, + { + "epoch": 0.0, + "learning_rate": 1.350293542074364e-06, + "loss": 1.2177, + "step": 138 + }, + { + "epoch": 0.0, + "learning_rate": 1.360078277886497e-06, + "loss": 1.2174, + "step": 139 + }, + { + "epoch": 0.0, + "learning_rate": 1.3698630136986302e-06, + "loss": 1.1911, + "step": 140 + }, + { + "epoch": 0.0, + "learning_rate": 1.3796477495107632e-06, + "loss": 1.0176, + "step": 141 + }, + { + "epoch": 0.0, + "learning_rate": 1.3894324853228964e-06, + "loss": 0.8202, + "step": 142 + }, + { + "epoch": 0.0, + "learning_rate": 1.3992172211350293e-06, + "loss": 1.2833, + "step": 143 + }, + { + "epoch": 0.0, + "learning_rate": 1.4090019569471625e-06, + "loss": 1.453, + "step": 144 + }, + { + "epoch": 0.0, + "learning_rate": 1.4187866927592955e-06, + "loss": 1.2494, + "step": 145 + }, + { + "epoch": 0.0, + "learning_rate": 1.4285714285714286e-06, + "loss": 1.2202, + "step": 146 + }, + { + "epoch": 0.0, + "learning_rate": 1.4383561643835616e-06, + "loss": 1.1222, + "step": 147 + }, + { + "epoch": 0.0, + "learning_rate": 1.4481409001956948e-06, + "loss": 1.0598, + "step": 148 + }, + { + "epoch": 0.0, + "learning_rate": 1.4579256360078277e-06, + "loss": 0.9819, + "step": 149 + }, + { + "epoch": 0.0, + "learning_rate": 1.467710371819961e-06, + "loss": 1.2363, + "step": 150 + }, + { + "epoch": 0.0, + "learning_rate": 1.477495107632094e-06, + "loss": 1.0601, + "step": 151 + }, + { + "epoch": 0.0, + "learning_rate": 1.487279843444227e-06, + "loss": 0.9349, + "step": 152 + }, + { + "epoch": 0.0, + "learning_rate": 1.4970645792563602e-06, + "loss": 1.1691, + "step": 153 + }, + { + "epoch": 0.0, + "learning_rate": 1.5068493150684932e-06, + "loss": 1.0472, + "step": 154 + }, + { + "epoch": 0.0, + "learning_rate": 1.5166340508806263e-06, + "loss": 1.2025, + "step": 155 + }, + { + "epoch": 0.0, + "learning_rate": 1.5264187866927593e-06, + "loss": 1.1293, + "step": 156 + }, + { + "epoch": 0.0, + "learning_rate": 1.5362035225048925e-06, + "loss": 1.2641, + "step": 157 + }, + { + "epoch": 0.0, + "learning_rate": 1.5459882583170254e-06, + "loss": 1.1949, + "step": 158 + }, + { + "epoch": 0.0, + "learning_rate": 1.5557729941291586e-06, + "loss": 1.1932, + "step": 159 + }, + { + "epoch": 0.0, + "learning_rate": 1.5655577299412916e-06, + "loss": 1.061, + "step": 160 + }, + { + "epoch": 0.0, + "learning_rate": 1.5753424657534248e-06, + "loss": 1.6713, + "step": 161 + }, + { + "epoch": 0.0, + "learning_rate": 1.5851272015655577e-06, + "loss": 1.2802, + "step": 162 + }, + { + "epoch": 0.0, + "learning_rate": 1.594911937377691e-06, + "loss": 1.3289, + "step": 163 + }, + { + "epoch": 0.0, + "learning_rate": 1.6046966731898239e-06, + "loss": 1.3269, + "step": 164 + }, + { + "epoch": 0.0, + "learning_rate": 1.614481409001957e-06, + "loss": 1.1486, + "step": 165 + }, + { + "epoch": 0.0, + "learning_rate": 1.62426614481409e-06, + "loss": 1.1871, + "step": 166 + }, + { + "epoch": 0.0, + "learning_rate": 1.6340508806262232e-06, + "loss": 1.3072, + "step": 167 + }, + { + "epoch": 0.0, + "learning_rate": 1.6438356164383561e-06, + "loss": 1.1397, + "step": 168 + }, + { + "epoch": 0.0, + "learning_rate": 1.6536203522504893e-06, + "loss": 1.2604, + "step": 169 + }, + { + "epoch": 0.0, + "learning_rate": 1.6634050880626223e-06, + "loss": 1.0499, + "step": 170 + }, + { + "epoch": 0.01, + "learning_rate": 1.6731898238747554e-06, + "loss": 1.1211, + "step": 171 + }, + { + "epoch": 0.01, + "learning_rate": 1.6829745596868884e-06, + "loss": 1.4793, + "step": 172 + }, + { + "epoch": 0.01, + "learning_rate": 1.6927592954990216e-06, + "loss": 1.1899, + "step": 173 + }, + { + "epoch": 0.01, + "learning_rate": 1.7025440313111545e-06, + "loss": 1.2914, + "step": 174 + }, + { + "epoch": 0.01, + "learning_rate": 1.7123287671232877e-06, + "loss": 1.22, + "step": 175 + }, + { + "epoch": 0.01, + "learning_rate": 1.7221135029354209e-06, + "loss": 1.1724, + "step": 176 + }, + { + "epoch": 0.01, + "learning_rate": 1.7318982387475539e-06, + "loss": 0.9483, + "step": 177 + }, + { + "epoch": 0.01, + "learning_rate": 1.741682974559687e-06, + "loss": 1.0474, + "step": 178 + }, + { + "epoch": 0.01, + "learning_rate": 1.75146771037182e-06, + "loss": 1.2155, + "step": 179 + }, + { + "epoch": 0.01, + "learning_rate": 1.7612524461839532e-06, + "loss": 1.0529, + "step": 180 + }, + { + "epoch": 0.01, + "learning_rate": 1.7710371819960861e-06, + "loss": 1.1751, + "step": 181 + }, + { + "epoch": 0.01, + "learning_rate": 1.7808219178082193e-06, + "loss": 1.081, + "step": 182 + }, + { + "epoch": 0.01, + "learning_rate": 1.7906066536203523e-06, + "loss": 1.1908, + "step": 183 + }, + { + "epoch": 0.01, + "learning_rate": 1.8003913894324854e-06, + "loss": 1.2959, + "step": 184 + }, + { + "epoch": 0.01, + "learning_rate": 1.8101761252446184e-06, + "loss": 0.9858, + "step": 185 + }, + { + "epoch": 0.01, + "learning_rate": 1.8199608610567516e-06, + "loss": 0.9553, + "step": 186 + }, + { + "epoch": 0.01, + "learning_rate": 1.8297455968688845e-06, + "loss": 1.402, + "step": 187 + }, + { + "epoch": 0.01, + "learning_rate": 1.8395303326810177e-06, + "loss": 0.9404, + "step": 188 + }, + { + "epoch": 0.01, + "learning_rate": 1.8493150684931507e-06, + "loss": 1.0318, + "step": 189 + }, + { + "epoch": 0.01, + "learning_rate": 1.8590998043052839e-06, + "loss": 0.9997, + "step": 190 + }, + { + "epoch": 0.01, + "learning_rate": 1.8688845401174168e-06, + "loss": 1.1332, + "step": 191 + }, + { + "epoch": 0.01, + "learning_rate": 1.87866927592955e-06, + "loss": 1.0564, + "step": 192 + }, + { + "epoch": 0.01, + "learning_rate": 1.888454011741683e-06, + "loss": 1.0824, + "step": 193 + }, + { + "epoch": 0.01, + "learning_rate": 1.8982387475538161e-06, + "loss": 1.0288, + "step": 194 + }, + { + "epoch": 0.01, + "learning_rate": 1.908023483365949e-06, + "loss": 1.167, + "step": 195 + }, + { + "epoch": 0.01, + "learning_rate": 1.9178082191780823e-06, + "loss": 1.3247, + "step": 196 + }, + { + "epoch": 0.01, + "learning_rate": 1.9275929549902154e-06, + "loss": 1.065, + "step": 197 + }, + { + "epoch": 0.01, + "learning_rate": 1.937377690802348e-06, + "loss": 0.9101, + "step": 198 + }, + { + "epoch": 0.01, + "learning_rate": 1.9471624266144814e-06, + "loss": 1.0448, + "step": 199 + }, + { + "epoch": 0.01, + "learning_rate": 1.9569471624266145e-06, + "loss": 0.9497, + "step": 200 + }, + { + "epoch": 0.01, + "learning_rate": 1.9667318982387477e-06, + "loss": 1.1996, + "step": 201 + }, + { + "epoch": 0.01, + "learning_rate": 1.976516634050881e-06, + "loss": 0.9851, + "step": 202 + }, + { + "epoch": 0.01, + "learning_rate": 1.9863013698630136e-06, + "loss": 1.2009, + "step": 203 + }, + { + "epoch": 0.01, + "learning_rate": 1.996086105675147e-06, + "loss": 1.0729, + "step": 204 + }, + { + "epoch": 0.01, + "learning_rate": 2.00587084148728e-06, + "loss": 1.0066, + "step": 205 + }, + { + "epoch": 0.01, + "learning_rate": 2.015655577299413e-06, + "loss": 1.3513, + "step": 206 + }, + { + "epoch": 0.01, + "learning_rate": 2.025440313111546e-06, + "loss": 0.9899, + "step": 207 + }, + { + "epoch": 0.01, + "learning_rate": 2.035225048923679e-06, + "loss": 1.0138, + "step": 208 + }, + { + "epoch": 0.01, + "learning_rate": 2.0450097847358123e-06, + "loss": 1.2107, + "step": 209 + }, + { + "epoch": 0.01, + "learning_rate": 2.0547945205479454e-06, + "loss": 1.1209, + "step": 210 + }, + { + "epoch": 0.01, + "learning_rate": 2.064579256360078e-06, + "loss": 0.9107, + "step": 211 + }, + { + "epoch": 0.01, + "learning_rate": 2.0743639921722114e-06, + "loss": 1.252, + "step": 212 + }, + { + "epoch": 0.01, + "learning_rate": 2.0841487279843445e-06, + "loss": 1.2985, + "step": 213 + }, + { + "epoch": 0.01, + "learning_rate": 2.0939334637964777e-06, + "loss": 0.9275, + "step": 214 + }, + { + "epoch": 0.01, + "learning_rate": 2.1037181996086105e-06, + "loss": 0.8393, + "step": 215 + }, + { + "epoch": 0.01, + "learning_rate": 2.1135029354207436e-06, + "loss": 1.0229, + "step": 216 + }, + { + "epoch": 0.01, + "learning_rate": 2.123287671232877e-06, + "loss": 0.9277, + "step": 217 + }, + { + "epoch": 0.01, + "learning_rate": 2.13307240704501e-06, + "loss": 1.0843, + "step": 218 + }, + { + "epoch": 0.01, + "learning_rate": 2.1428571428571427e-06, + "loss": 1.0312, + "step": 219 + }, + { + "epoch": 0.01, + "learning_rate": 2.152641878669276e-06, + "loss": 0.9941, + "step": 220 + }, + { + "epoch": 0.01, + "learning_rate": 2.162426614481409e-06, + "loss": 0.9442, + "step": 221 + }, + { + "epoch": 0.01, + "learning_rate": 2.1722113502935423e-06, + "loss": 1.0319, + "step": 222 + }, + { + "epoch": 0.01, + "learning_rate": 2.181996086105675e-06, + "loss": 1.0257, + "step": 223 + }, + { + "epoch": 0.01, + "learning_rate": 2.191780821917808e-06, + "loss": 1.4055, + "step": 224 + }, + { + "epoch": 0.01, + "learning_rate": 2.2015655577299414e-06, + "loss": 0.9588, + "step": 225 + }, + { + "epoch": 0.01, + "learning_rate": 2.2113502935420745e-06, + "loss": 1.0416, + "step": 226 + }, + { + "epoch": 0.01, + "learning_rate": 2.2211350293542077e-06, + "loss": 0.9264, + "step": 227 + }, + { + "epoch": 0.01, + "learning_rate": 2.2309197651663405e-06, + "loss": 0.852, + "step": 228 + }, + { + "epoch": 0.01, + "learning_rate": 2.2407045009784736e-06, + "loss": 1.2049, + "step": 229 + }, + { + "epoch": 0.01, + "learning_rate": 2.250489236790607e-06, + "loss": 0.9679, + "step": 230 + }, + { + "epoch": 0.01, + "learning_rate": 2.26027397260274e-06, + "loss": 1.1906, + "step": 231 + }, + { + "epoch": 0.01, + "learning_rate": 2.2700587084148727e-06, + "loss": 0.9478, + "step": 232 + }, + { + "epoch": 0.01, + "learning_rate": 2.279843444227006e-06, + "loss": 0.762, + "step": 233 + }, + { + "epoch": 0.01, + "learning_rate": 2.289628180039139e-06, + "loss": 0.8998, + "step": 234 + }, + { + "epoch": 0.01, + "learning_rate": 2.2994129158512722e-06, + "loss": 0.9143, + "step": 235 + }, + { + "epoch": 0.01, + "learning_rate": 2.309197651663405e-06, + "loss": 1.0804, + "step": 236 + }, + { + "epoch": 0.01, + "learning_rate": 2.318982387475538e-06, + "loss": 1.1779, + "step": 237 + }, + { + "epoch": 0.01, + "learning_rate": 2.3287671232876713e-06, + "loss": 0.8756, + "step": 238 + }, + { + "epoch": 0.01, + "learning_rate": 2.3385518590998045e-06, + "loss": 0.8705, + "step": 239 + }, + { + "epoch": 0.01, + "learning_rate": 2.3483365949119373e-06, + "loss": 1.1145, + "step": 240 + }, + { + "epoch": 0.01, + "learning_rate": 2.3581213307240704e-06, + "loss": 0.9312, + "step": 241 + }, + { + "epoch": 0.01, + "learning_rate": 2.3679060665362036e-06, + "loss": 1.1564, + "step": 242 + }, + { + "epoch": 0.01, + "learning_rate": 2.377690802348337e-06, + "loss": 1.0347, + "step": 243 + }, + { + "epoch": 0.01, + "learning_rate": 2.3874755381604695e-06, + "loss": 1.019, + "step": 244 + }, + { + "epoch": 0.01, + "learning_rate": 2.3972602739726027e-06, + "loss": 1.055, + "step": 245 + }, + { + "epoch": 0.01, + "learning_rate": 2.407045009784736e-06, + "loss": 1.0157, + "step": 246 + }, + { + "epoch": 0.01, + "learning_rate": 2.416829745596869e-06, + "loss": 1.1013, + "step": 247 + }, + { + "epoch": 0.01, + "learning_rate": 2.426614481409002e-06, + "loss": 1.0089, + "step": 248 + }, + { + "epoch": 0.01, + "learning_rate": 2.436399217221135e-06, + "loss": 0.7001, + "step": 249 + }, + { + "epoch": 0.01, + "learning_rate": 2.446183953033268e-06, + "loss": 0.6986, + "step": 250 + }, + { + "epoch": 0.01, + "learning_rate": 2.4559686888454013e-06, + "loss": 0.9628, + "step": 251 + }, + { + "epoch": 0.01, + "learning_rate": 2.4657534246575345e-06, + "loss": 1.4653, + "step": 252 + }, + { + "epoch": 0.01, + "learning_rate": 2.4755381604696673e-06, + "loss": 1.09, + "step": 253 + }, + { + "epoch": 0.01, + "learning_rate": 2.4853228962818004e-06, + "loss": 1.1256, + "step": 254 + }, + { + "epoch": 0.01, + "learning_rate": 2.4951076320939336e-06, + "loss": 1.2165, + "step": 255 + }, + { + "epoch": 0.01, + "learning_rate": 2.504892367906067e-06, + "loss": 1.1468, + "step": 256 + }, + { + "epoch": 0.01, + "learning_rate": 2.5146771037182e-06, + "loss": 1.4859, + "step": 257 + }, + { + "epoch": 0.01, + "learning_rate": 2.5244618395303327e-06, + "loss": 1.0274, + "step": 258 + }, + { + "epoch": 0.01, + "learning_rate": 2.534246575342466e-06, + "loss": 1.1591, + "step": 259 + }, + { + "epoch": 0.01, + "learning_rate": 2.544031311154599e-06, + "loss": 1.0506, + "step": 260 + }, + { + "epoch": 0.01, + "learning_rate": 2.5538160469667322e-06, + "loss": 1.101, + "step": 261 + }, + { + "epoch": 0.01, + "learning_rate": 2.563600782778865e-06, + "loss": 1.0238, + "step": 262 + }, + { + "epoch": 0.01, + "learning_rate": 2.5733855185909986e-06, + "loss": 0.8521, + "step": 263 + }, + { + "epoch": 0.01, + "learning_rate": 2.5831702544031313e-06, + "loss": 0.991, + "step": 264 + }, + { + "epoch": 0.01, + "learning_rate": 2.5929549902152645e-06, + "loss": 0.89, + "step": 265 + }, + { + "epoch": 0.01, + "learning_rate": 2.6027397260273973e-06, + "loss": 1.1315, + "step": 266 + }, + { + "epoch": 0.01, + "learning_rate": 2.612524461839531e-06, + "loss": 0.8646, + "step": 267 + }, + { + "epoch": 0.01, + "learning_rate": 2.6223091976516636e-06, + "loss": 1.0386, + "step": 268 + }, + { + "epoch": 0.01, + "learning_rate": 2.6320939334637968e-06, + "loss": 1.105, + "step": 269 + }, + { + "epoch": 0.01, + "learning_rate": 2.6418786692759295e-06, + "loss": 1.057, + "step": 270 + }, + { + "epoch": 0.01, + "learning_rate": 2.651663405088063e-06, + "loss": 1.2381, + "step": 271 + }, + { + "epoch": 0.01, + "learning_rate": 2.661448140900196e-06, + "loss": 1.101, + "step": 272 + }, + { + "epoch": 0.01, + "learning_rate": 2.671232876712329e-06, + "loss": 1.1568, + "step": 273 + }, + { + "epoch": 0.01, + "learning_rate": 2.681017612524462e-06, + "loss": 1.0658, + "step": 274 + }, + { + "epoch": 0.01, + "learning_rate": 2.6908023483365954e-06, + "loss": 1.2273, + "step": 275 + }, + { + "epoch": 0.01, + "learning_rate": 2.700587084148728e-06, + "loss": 1.0468, + "step": 276 + }, + { + "epoch": 0.01, + "learning_rate": 2.7103718199608613e-06, + "loss": 1.1808, + "step": 277 + }, + { + "epoch": 0.01, + "learning_rate": 2.720156555772994e-06, + "loss": 1.1009, + "step": 278 + }, + { + "epoch": 0.01, + "learning_rate": 2.7299412915851277e-06, + "loss": 0.9446, + "step": 279 + }, + { + "epoch": 0.01, + "learning_rate": 2.7397260273972604e-06, + "loss": 1.2432, + "step": 280 + }, + { + "epoch": 0.01, + "learning_rate": 2.7495107632093936e-06, + "loss": 1.0021, + "step": 281 + }, + { + "epoch": 0.01, + "learning_rate": 2.7592954990215264e-06, + "loss": 0.7088, + "step": 282 + }, + { + "epoch": 0.01, + "learning_rate": 2.76908023483366e-06, + "loss": 0.7876, + "step": 283 + }, + { + "epoch": 0.01, + "learning_rate": 2.7788649706457927e-06, + "loss": 0.7948, + "step": 284 + }, + { + "epoch": 0.01, + "learning_rate": 2.788649706457926e-06, + "loss": 1.1048, + "step": 285 + }, + { + "epoch": 0.01, + "learning_rate": 2.7984344422700586e-06, + "loss": 1.4012, + "step": 286 + }, + { + "epoch": 0.01, + "learning_rate": 2.8082191780821922e-06, + "loss": 1.4129, + "step": 287 + }, + { + "epoch": 0.01, + "learning_rate": 2.818003913894325e-06, + "loss": 0.86, + "step": 288 + }, + { + "epoch": 0.01, + "learning_rate": 2.827788649706458e-06, + "loss": 1.1426, + "step": 289 + }, + { + "epoch": 0.01, + "learning_rate": 2.837573385518591e-06, + "loss": 0.9859, + "step": 290 + }, + { + "epoch": 0.01, + "learning_rate": 2.8473581213307245e-06, + "loss": 1.0558, + "step": 291 + }, + { + "epoch": 0.01, + "learning_rate": 2.8571428571428573e-06, + "loss": 0.8829, + "step": 292 + }, + { + "epoch": 0.01, + "learning_rate": 2.8669275929549904e-06, + "loss": 1.0776, + "step": 293 + }, + { + "epoch": 0.01, + "learning_rate": 2.876712328767123e-06, + "loss": 1.0609, + "step": 294 + }, + { + "epoch": 0.01, + "learning_rate": 2.8864970645792568e-06, + "loss": 1.1537, + "step": 295 + }, + { + "epoch": 0.01, + "learning_rate": 2.8962818003913895e-06, + "loss": 1.0792, + "step": 296 + }, + { + "epoch": 0.01, + "learning_rate": 2.9060665362035227e-06, + "loss": 1.081, + "step": 297 + }, + { + "epoch": 0.01, + "learning_rate": 2.9158512720156555e-06, + "loss": 0.9641, + "step": 298 + }, + { + "epoch": 0.01, + "learning_rate": 2.925636007827789e-06, + "loss": 1.1068, + "step": 299 + }, + { + "epoch": 0.01, + "learning_rate": 2.935420743639922e-06, + "loss": 0.8663, + "step": 300 + }, + { + "epoch": 0.01, + "learning_rate": 2.945205479452055e-06, + "loss": 1.0759, + "step": 301 + }, + { + "epoch": 0.01, + "learning_rate": 2.954990215264188e-06, + "loss": 0.8888, + "step": 302 + }, + { + "epoch": 0.01, + "learning_rate": 2.9647749510763213e-06, + "loss": 1.011, + "step": 303 + }, + { + "epoch": 0.01, + "learning_rate": 2.974559686888454e-06, + "loss": 1.0392, + "step": 304 + }, + { + "epoch": 0.01, + "learning_rate": 2.9843444227005873e-06, + "loss": 1.2058, + "step": 305 + }, + { + "epoch": 0.01, + "learning_rate": 2.9941291585127204e-06, + "loss": 0.8728, + "step": 306 + }, + { + "epoch": 0.01, + "learning_rate": 3.0039138943248536e-06, + "loss": 1.1878, + "step": 307 + }, + { + "epoch": 0.01, + "learning_rate": 3.0136986301369864e-06, + "loss": 1.1277, + "step": 308 + }, + { + "epoch": 0.01, + "learning_rate": 3.0234833659491195e-06, + "loss": 1.0575, + "step": 309 + }, + { + "epoch": 0.01, + "learning_rate": 3.0332681017612527e-06, + "loss": 1.1131, + "step": 310 + }, + { + "epoch": 0.01, + "learning_rate": 3.043052837573386e-06, + "loss": 1.1474, + "step": 311 + }, + { + "epoch": 0.01, + "learning_rate": 3.0528375733855186e-06, + "loss": 0.9768, + "step": 312 + }, + { + "epoch": 0.01, + "learning_rate": 3.0626223091976522e-06, + "loss": 1.0471, + "step": 313 + }, + { + "epoch": 0.01, + "learning_rate": 3.072407045009785e-06, + "loss": 1.2756, + "step": 314 + }, + { + "epoch": 0.01, + "learning_rate": 3.082191780821918e-06, + "loss": 1.0186, + "step": 315 + }, + { + "epoch": 0.01, + "learning_rate": 3.091976516634051e-06, + "loss": 1.1245, + "step": 316 + }, + { + "epoch": 0.01, + "learning_rate": 3.1017612524461845e-06, + "loss": 1.0933, + "step": 317 + }, + { + "epoch": 0.01, + "learning_rate": 3.1115459882583172e-06, + "loss": 1.2036, + "step": 318 + }, + { + "epoch": 0.01, + "learning_rate": 3.1213307240704504e-06, + "loss": 0.8528, + "step": 319 + }, + { + "epoch": 0.01, + "learning_rate": 3.131115459882583e-06, + "loss": 0.7461, + "step": 320 + }, + { + "epoch": 0.01, + "learning_rate": 3.1409001956947168e-06, + "loss": 0.7928, + "step": 321 + }, + { + "epoch": 0.01, + "learning_rate": 3.1506849315068495e-06, + "loss": 1.2899, + "step": 322 + }, + { + "epoch": 0.01, + "learning_rate": 3.1604696673189827e-06, + "loss": 0.9437, + "step": 323 + }, + { + "epoch": 0.01, + "learning_rate": 3.1702544031311154e-06, + "loss": 1.0551, + "step": 324 + }, + { + "epoch": 0.01, + "learning_rate": 3.180039138943249e-06, + "loss": 1.1427, + "step": 325 + }, + { + "epoch": 0.01, + "learning_rate": 3.189823874755382e-06, + "loss": 1.1558, + "step": 326 + }, + { + "epoch": 0.01, + "learning_rate": 3.199608610567515e-06, + "loss": 0.987, + "step": 327 + }, + { + "epoch": 0.01, + "learning_rate": 3.2093933463796477e-06, + "loss": 0.9992, + "step": 328 + }, + { + "epoch": 0.01, + "learning_rate": 3.2191780821917813e-06, + "loss": 1.2613, + "step": 329 + }, + { + "epoch": 0.01, + "learning_rate": 3.228962818003914e-06, + "loss": 0.9779, + "step": 330 + }, + { + "epoch": 0.01, + "learning_rate": 3.2387475538160472e-06, + "loss": 1.0747, + "step": 331 + }, + { + "epoch": 0.01, + "learning_rate": 3.24853228962818e-06, + "loss": 1.0487, + "step": 332 + }, + { + "epoch": 0.01, + "learning_rate": 3.2583170254403136e-06, + "loss": 0.9347, + "step": 333 + }, + { + "epoch": 0.01, + "learning_rate": 3.2681017612524463e-06, + "loss": 0.9348, + "step": 334 + }, + { + "epoch": 0.01, + "learning_rate": 3.2778864970645795e-06, + "loss": 0.9279, + "step": 335 + }, + { + "epoch": 0.01, + "learning_rate": 3.2876712328767123e-06, + "loss": 0.923, + "step": 336 + }, + { + "epoch": 0.01, + "learning_rate": 3.297455968688846e-06, + "loss": 0.8892, + "step": 337 + }, + { + "epoch": 0.01, + "learning_rate": 3.3072407045009786e-06, + "loss": 1.0746, + "step": 338 + }, + { + "epoch": 0.01, + "learning_rate": 3.317025440313112e-06, + "loss": 0.8519, + "step": 339 + }, + { + "epoch": 0.01, + "learning_rate": 3.3268101761252445e-06, + "loss": 0.957, + "step": 340 + }, + { + "epoch": 0.01, + "learning_rate": 3.336594911937378e-06, + "loss": 1.1279, + "step": 341 + }, + { + "epoch": 0.01, + "learning_rate": 3.346379647749511e-06, + "loss": 1.0003, + "step": 342 + }, + { + "epoch": 0.01, + "learning_rate": 3.356164383561644e-06, + "loss": 1.1098, + "step": 343 + }, + { + "epoch": 0.01, + "learning_rate": 3.365949119373777e-06, + "loss": 1.1918, + "step": 344 + }, + { + "epoch": 0.01, + "learning_rate": 3.3757338551859104e-06, + "loss": 0.8934, + "step": 345 + }, + { + "epoch": 0.01, + "learning_rate": 3.385518590998043e-06, + "loss": 0.8185, + "step": 346 + }, + { + "epoch": 0.01, + "learning_rate": 3.3953033268101763e-06, + "loss": 0.8399, + "step": 347 + }, + { + "epoch": 0.01, + "learning_rate": 3.405088062622309e-06, + "loss": 0.8203, + "step": 348 + }, + { + "epoch": 0.01, + "learning_rate": 3.4148727984344427e-06, + "loss": 1.3605, + "step": 349 + }, + { + "epoch": 0.01, + "learning_rate": 3.4246575342465754e-06, + "loss": 1.0392, + "step": 350 + }, + { + "epoch": 0.01, + "learning_rate": 3.4344422700587086e-06, + "loss": 0.9205, + "step": 351 + }, + { + "epoch": 0.01, + "learning_rate": 3.4442270058708418e-06, + "loss": 0.9121, + "step": 352 + }, + { + "epoch": 0.01, + "learning_rate": 3.454011741682975e-06, + "loss": 1.0485, + "step": 353 + }, + { + "epoch": 0.01, + "learning_rate": 3.4637964774951077e-06, + "loss": 0.8697, + "step": 354 + }, + { + "epoch": 0.01, + "learning_rate": 3.473581213307241e-06, + "loss": 0.9148, + "step": 355 + }, + { + "epoch": 0.01, + "learning_rate": 3.483365949119374e-06, + "loss": 0.8061, + "step": 356 + }, + { + "epoch": 0.01, + "learning_rate": 3.4931506849315072e-06, + "loss": 0.9582, + "step": 357 + }, + { + "epoch": 0.01, + "learning_rate": 3.50293542074364e-06, + "loss": 1.2037, + "step": 358 + }, + { + "epoch": 0.01, + "learning_rate": 3.512720156555773e-06, + "loss": 0.9672, + "step": 359 + }, + { + "epoch": 0.01, + "learning_rate": 3.5225048923679063e-06, + "loss": 1.0008, + "step": 360 + }, + { + "epoch": 0.01, + "learning_rate": 3.5322896281800395e-06, + "loss": 0.9804, + "step": 361 + }, + { + "epoch": 0.01, + "learning_rate": 3.5420743639921723e-06, + "loss": 0.7798, + "step": 362 + }, + { + "epoch": 0.01, + "learning_rate": 3.551859099804306e-06, + "loss": 0.7371, + "step": 363 + }, + { + "epoch": 0.01, + "learning_rate": 3.5616438356164386e-06, + "loss": 0.9069, + "step": 364 + }, + { + "epoch": 0.01, + "learning_rate": 3.5714285714285718e-06, + "loss": 1.0722, + "step": 365 + }, + { + "epoch": 0.01, + "learning_rate": 3.5812133072407045e-06, + "loss": 0.9562, + "step": 366 + }, + { + "epoch": 0.01, + "learning_rate": 3.590998043052838e-06, + "loss": 0.628, + "step": 367 + }, + { + "epoch": 0.01, + "learning_rate": 3.600782778864971e-06, + "loss": 0.87, + "step": 368 + }, + { + "epoch": 0.01, + "learning_rate": 3.610567514677104e-06, + "loss": 1.0144, + "step": 369 + }, + { + "epoch": 0.01, + "learning_rate": 3.620352250489237e-06, + "loss": 1.0661, + "step": 370 + }, + { + "epoch": 0.01, + "learning_rate": 3.6301369863013704e-06, + "loss": 1.0179, + "step": 371 + }, + { + "epoch": 0.01, + "learning_rate": 3.639921722113503e-06, + "loss": 0.8979, + "step": 372 + }, + { + "epoch": 0.01, + "learning_rate": 3.6497064579256363e-06, + "loss": 1.0806, + "step": 373 + }, + { + "epoch": 0.01, + "learning_rate": 3.659491193737769e-06, + "loss": 1.2719, + "step": 374 + }, + { + "epoch": 0.01, + "learning_rate": 3.6692759295499027e-06, + "loss": 0.9843, + "step": 375 + }, + { + "epoch": 0.01, + "learning_rate": 3.6790606653620354e-06, + "loss": 0.7922, + "step": 376 + }, + { + "epoch": 0.01, + "learning_rate": 3.6888454011741686e-06, + "loss": 0.4902, + "step": 377 + }, + { + "epoch": 0.01, + "learning_rate": 3.6986301369863014e-06, + "loss": 1.19, + "step": 378 + }, + { + "epoch": 0.01, + "learning_rate": 3.708414872798435e-06, + "loss": 1.3163, + "step": 379 + }, + { + "epoch": 0.01, + "learning_rate": 3.7181996086105677e-06, + "loss": 0.7896, + "step": 380 + }, + { + "epoch": 0.01, + "learning_rate": 3.727984344422701e-06, + "loss": 0.6311, + "step": 381 + }, + { + "epoch": 0.01, + "learning_rate": 3.7377690802348336e-06, + "loss": 0.9212, + "step": 382 + }, + { + "epoch": 0.01, + "learning_rate": 3.7475538160469672e-06, + "loss": 1.0412, + "step": 383 + }, + { + "epoch": 0.01, + "learning_rate": 3.7573385518591e-06, + "loss": 1.1223, + "step": 384 + }, + { + "epoch": 0.01, + "learning_rate": 3.767123287671233e-06, + "loss": 1.0968, + "step": 385 + }, + { + "epoch": 0.01, + "learning_rate": 3.776908023483366e-06, + "loss": 1.0639, + "step": 386 + }, + { + "epoch": 0.01, + "learning_rate": 3.7866927592954995e-06, + "loss": 0.8319, + "step": 387 + }, + { + "epoch": 0.01, + "learning_rate": 3.7964774951076322e-06, + "loss": 0.8298, + "step": 388 + }, + { + "epoch": 0.01, + "learning_rate": 3.8062622309197654e-06, + "loss": 1.1756, + "step": 389 + }, + { + "epoch": 0.01, + "learning_rate": 3.816046966731898e-06, + "loss": 0.9356, + "step": 390 + }, + { + "epoch": 0.01, + "learning_rate": 3.825831702544031e-06, + "loss": 1.0458, + "step": 391 + }, + { + "epoch": 0.01, + "learning_rate": 3.8356164383561645e-06, + "loss": 1.0809, + "step": 392 + }, + { + "epoch": 0.01, + "learning_rate": 3.845401174168298e-06, + "loss": 0.9558, + "step": 393 + }, + { + "epoch": 0.01, + "learning_rate": 3.855185909980431e-06, + "loss": 0.9111, + "step": 394 + }, + { + "epoch": 0.01, + "learning_rate": 3.864970645792564e-06, + "loss": 1.0051, + "step": 395 + }, + { + "epoch": 0.01, + "learning_rate": 3.874755381604696e-06, + "loss": 0.8098, + "step": 396 + }, + { + "epoch": 0.01, + "learning_rate": 3.88454011741683e-06, + "loss": 0.7239, + "step": 397 + }, + { + "epoch": 0.01, + "learning_rate": 3.894324853228963e-06, + "loss": 0.8753, + "step": 398 + }, + { + "epoch": 0.01, + "learning_rate": 3.904109589041096e-06, + "loss": 0.8227, + "step": 399 + }, + { + "epoch": 0.01, + "learning_rate": 3.913894324853229e-06, + "loss": 0.885, + "step": 400 + }, + { + "epoch": 0.01, + "learning_rate": 3.923679060665362e-06, + "loss": 0.9714, + "step": 401 + }, + { + "epoch": 0.01, + "learning_rate": 3.933463796477495e-06, + "loss": 0.876, + "step": 402 + }, + { + "epoch": 0.01, + "learning_rate": 3.943248532289629e-06, + "loss": 0.9283, + "step": 403 + }, + { + "epoch": 0.01, + "learning_rate": 3.953033268101762e-06, + "loss": 0.9855, + "step": 404 + }, + { + "epoch": 0.01, + "learning_rate": 3.962818003913895e-06, + "loss": 0.9617, + "step": 405 + }, + { + "epoch": 0.01, + "learning_rate": 3.972602739726027e-06, + "loss": 0.8913, + "step": 406 + }, + { + "epoch": 0.01, + "learning_rate": 3.9823874755381604e-06, + "loss": 1.1649, + "step": 407 + }, + { + "epoch": 0.01, + "learning_rate": 3.992172211350294e-06, + "loss": 0.9858, + "step": 408 + }, + { + "epoch": 0.01, + "learning_rate": 4.001956947162427e-06, + "loss": 0.9792, + "step": 409 + }, + { + "epoch": 0.01, + "learning_rate": 4.01174168297456e-06, + "loss": 0.9082, + "step": 410 + }, + { + "epoch": 0.01, + "learning_rate": 4.021526418786693e-06, + "loss": 0.9044, + "step": 411 + }, + { + "epoch": 0.01, + "learning_rate": 4.031311154598826e-06, + "loss": 0.987, + "step": 412 + }, + { + "epoch": 0.01, + "learning_rate": 4.0410958904109595e-06, + "loss": 1.087, + "step": 413 + }, + { + "epoch": 0.01, + "learning_rate": 4.050880626223092e-06, + "loss": 1.1983, + "step": 414 + }, + { + "epoch": 0.01, + "learning_rate": 4.060665362035226e-06, + "loss": 0.7495, + "step": 415 + }, + { + "epoch": 0.01, + "learning_rate": 4.070450097847358e-06, + "loss": 0.9479, + "step": 416 + }, + { + "epoch": 0.01, + "learning_rate": 4.080234833659491e-06, + "loss": 0.7635, + "step": 417 + }, + { + "epoch": 0.01, + "learning_rate": 4.0900195694716245e-06, + "loss": 1.0949, + "step": 418 + }, + { + "epoch": 0.01, + "learning_rate": 4.099804305283758e-06, + "loss": 1.1566, + "step": 419 + }, + { + "epoch": 0.01, + "learning_rate": 4.109589041095891e-06, + "loss": 0.9377, + "step": 420 + }, + { + "epoch": 0.01, + "learning_rate": 4.119373776908024e-06, + "loss": 0.9386, + "step": 421 + }, + { + "epoch": 0.01, + "learning_rate": 4.129158512720156e-06, + "loss": 0.75, + "step": 422 + }, + { + "epoch": 0.01, + "learning_rate": 4.13894324853229e-06, + "loss": 1.1229, + "step": 423 + }, + { + "epoch": 0.01, + "learning_rate": 4.148727984344423e-06, + "loss": 1.047, + "step": 424 + }, + { + "epoch": 0.01, + "learning_rate": 4.158512720156556e-06, + "loss": 0.7276, + "step": 425 + }, + { + "epoch": 0.01, + "learning_rate": 4.168297455968689e-06, + "loss": 1.246, + "step": 426 + }, + { + "epoch": 0.01, + "learning_rate": 4.178082191780822e-06, + "loss": 0.8189, + "step": 427 + }, + { + "epoch": 0.01, + "learning_rate": 4.187866927592955e-06, + "loss": 1.0126, + "step": 428 + }, + { + "epoch": 0.01, + "learning_rate": 4.197651663405089e-06, + "loss": 0.9427, + "step": 429 + }, + { + "epoch": 0.01, + "learning_rate": 4.207436399217221e-06, + "loss": 1.2856, + "step": 430 + }, + { + "epoch": 0.01, + "learning_rate": 4.217221135029355e-06, + "loss": 0.5747, + "step": 431 + }, + { + "epoch": 0.01, + "learning_rate": 4.227005870841487e-06, + "loss": 0.7029, + "step": 432 + }, + { + "epoch": 0.01, + "learning_rate": 4.2367906066536204e-06, + "loss": 1.0122, + "step": 433 + }, + { + "epoch": 0.01, + "learning_rate": 4.246575342465754e-06, + "loss": 0.7676, + "step": 434 + }, + { + "epoch": 0.01, + "learning_rate": 4.256360078277887e-06, + "loss": 0.9377, + "step": 435 + }, + { + "epoch": 0.01, + "learning_rate": 4.26614481409002e-06, + "loss": 0.9532, + "step": 436 + }, + { + "epoch": 0.01, + "learning_rate": 4.275929549902153e-06, + "loss": 0.8134, + "step": 437 + }, + { + "epoch": 0.01, + "learning_rate": 4.2857142857142855e-06, + "loss": 0.8705, + "step": 438 + }, + { + "epoch": 0.01, + "learning_rate": 4.2954990215264195e-06, + "loss": 1.0156, + "step": 439 + }, + { + "epoch": 0.01, + "learning_rate": 4.305283757338552e-06, + "loss": 0.9838, + "step": 440 + }, + { + "epoch": 0.01, + "learning_rate": 4.315068493150685e-06, + "loss": 1.1134, + "step": 441 + }, + { + "epoch": 0.01, + "learning_rate": 4.324853228962818e-06, + "loss": 1.1073, + "step": 442 + }, + { + "epoch": 0.01, + "learning_rate": 4.334637964774951e-06, + "loss": 1.0869, + "step": 443 + }, + { + "epoch": 0.01, + "learning_rate": 4.3444227005870845e-06, + "loss": 0.6226, + "step": 444 + }, + { + "epoch": 0.01, + "learning_rate": 4.354207436399218e-06, + "loss": 1.1268, + "step": 445 + }, + { + "epoch": 0.01, + "learning_rate": 4.36399217221135e-06, + "loss": 1.1301, + "step": 446 + }, + { + "epoch": 0.01, + "learning_rate": 4.373776908023484e-06, + "loss": 0.7756, + "step": 447 + }, + { + "epoch": 0.01, + "learning_rate": 4.383561643835616e-06, + "loss": 0.8412, + "step": 448 + }, + { + "epoch": 0.01, + "learning_rate": 4.3933463796477495e-06, + "loss": 1.1697, + "step": 449 + }, + { + "epoch": 0.01, + "learning_rate": 4.403131115459883e-06, + "loss": 1.2649, + "step": 450 + }, + { + "epoch": 0.01, + "learning_rate": 4.412915851272016e-06, + "loss": 0.9822, + "step": 451 + }, + { + "epoch": 0.01, + "learning_rate": 4.422700587084149e-06, + "loss": 0.5947, + "step": 452 + }, + { + "epoch": 0.01, + "learning_rate": 4.432485322896282e-06, + "loss": 1.0183, + "step": 453 + }, + { + "epoch": 0.01, + "learning_rate": 4.442270058708415e-06, + "loss": 0.8988, + "step": 454 + }, + { + "epoch": 0.01, + "learning_rate": 4.4520547945205486e-06, + "loss": 0.7858, + "step": 455 + }, + { + "epoch": 0.01, + "learning_rate": 4.461839530332681e-06, + "loss": 0.8593, + "step": 456 + }, + { + "epoch": 0.01, + "learning_rate": 4.471624266144814e-06, + "loss": 0.8532, + "step": 457 + }, + { + "epoch": 0.01, + "learning_rate": 4.481409001956947e-06, + "loss": 1.2392, + "step": 458 + }, + { + "epoch": 0.01, + "learning_rate": 4.4911937377690804e-06, + "loss": 0.9107, + "step": 459 + }, + { + "epoch": 0.01, + "learning_rate": 4.500978473581214e-06, + "loss": 1.2208, + "step": 460 + }, + { + "epoch": 0.01, + "learning_rate": 4.510763209393347e-06, + "loss": 0.9219, + "step": 461 + }, + { + "epoch": 0.01, + "learning_rate": 4.52054794520548e-06, + "loss": 1.026, + "step": 462 + }, + { + "epoch": 0.01, + "learning_rate": 4.530332681017613e-06, + "loss": 0.7733, + "step": 463 + }, + { + "epoch": 0.01, + "learning_rate": 4.5401174168297455e-06, + "loss": 0.9558, + "step": 464 + }, + { + "epoch": 0.01, + "learning_rate": 4.5499021526418795e-06, + "loss": 0.9102, + "step": 465 + }, + { + "epoch": 0.01, + "learning_rate": 4.559686888454012e-06, + "loss": 0.6831, + "step": 466 + }, + { + "epoch": 0.01, + "learning_rate": 4.569471624266145e-06, + "loss": 1.2328, + "step": 467 + }, + { + "epoch": 0.01, + "learning_rate": 4.579256360078278e-06, + "loss": 0.9265, + "step": 468 + }, + { + "epoch": 0.01, + "learning_rate": 4.589041095890411e-06, + "loss": 0.9426, + "step": 469 + }, + { + "epoch": 0.01, + "learning_rate": 4.5988258317025445e-06, + "loss": 1.2318, + "step": 470 + }, + { + "epoch": 0.01, + "learning_rate": 4.608610567514678e-06, + "loss": 1.2602, + "step": 471 + }, + { + "epoch": 0.01, + "learning_rate": 4.61839530332681e-06, + "loss": 1.0748, + "step": 472 + }, + { + "epoch": 0.01, + "learning_rate": 4.628180039138944e-06, + "loss": 1.0802, + "step": 473 + }, + { + "epoch": 0.01, + "learning_rate": 4.637964774951076e-06, + "loss": 1.0795, + "step": 474 + }, + { + "epoch": 0.01, + "learning_rate": 4.6477495107632095e-06, + "loss": 1.1127, + "step": 475 + }, + { + "epoch": 0.01, + "learning_rate": 4.657534246575343e-06, + "loss": 0.9372, + "step": 476 + }, + { + "epoch": 0.01, + "learning_rate": 4.667318982387476e-06, + "loss": 0.9608, + "step": 477 + }, + { + "epoch": 0.01, + "learning_rate": 4.677103718199609e-06, + "loss": 1.0471, + "step": 478 + }, + { + "epoch": 0.01, + "learning_rate": 4.686888454011742e-06, + "loss": 1.1151, + "step": 479 + }, + { + "epoch": 0.01, + "learning_rate": 4.6966731898238745e-06, + "loss": 0.9866, + "step": 480 + }, + { + "epoch": 0.01, + "learning_rate": 4.7064579256360086e-06, + "loss": 1.0272, + "step": 481 + }, + { + "epoch": 0.01, + "learning_rate": 4.716242661448141e-06, + "loss": 0.9674, + "step": 482 + }, + { + "epoch": 0.01, + "learning_rate": 4.726027397260274e-06, + "loss": 1.0971, + "step": 483 + }, + { + "epoch": 0.01, + "learning_rate": 4.735812133072407e-06, + "loss": 1.1346, + "step": 484 + }, + { + "epoch": 0.01, + "learning_rate": 4.74559686888454e-06, + "loss": 0.8478, + "step": 485 + }, + { + "epoch": 0.01, + "learning_rate": 4.755381604696674e-06, + "loss": 1.0223, + "step": 486 + }, + { + "epoch": 0.01, + "learning_rate": 4.765166340508807e-06, + "loss": 1.0581, + "step": 487 + }, + { + "epoch": 0.01, + "learning_rate": 4.774951076320939e-06, + "loss": 1.0166, + "step": 488 + }, + { + "epoch": 0.01, + "learning_rate": 4.784735812133073e-06, + "loss": 0.8226, + "step": 489 + }, + { + "epoch": 0.01, + "learning_rate": 4.7945205479452054e-06, + "loss": 1.1485, + "step": 490 + }, + { + "epoch": 0.01, + "learning_rate": 4.804305283757339e-06, + "loss": 1.0755, + "step": 491 + }, + { + "epoch": 0.01, + "learning_rate": 4.814090019569472e-06, + "loss": 0.869, + "step": 492 + }, + { + "epoch": 0.01, + "learning_rate": 4.823874755381605e-06, + "loss": 0.8482, + "step": 493 + }, + { + "epoch": 0.01, + "learning_rate": 4.833659491193738e-06, + "loss": 0.9573, + "step": 494 + }, + { + "epoch": 0.01, + "learning_rate": 4.843444227005871e-06, + "loss": 0.998, + "step": 495 + }, + { + "epoch": 0.01, + "learning_rate": 4.853228962818004e-06, + "loss": 1.2019, + "step": 496 + }, + { + "epoch": 0.01, + "learning_rate": 4.863013698630138e-06, + "loss": 1.1556, + "step": 497 + }, + { + "epoch": 0.01, + "learning_rate": 4.87279843444227e-06, + "loss": 1.1211, + "step": 498 + }, + { + "epoch": 0.01, + "learning_rate": 4.882583170254403e-06, + "loss": 0.8186, + "step": 499 + }, + { + "epoch": 0.01, + "learning_rate": 4.892367906066536e-06, + "loss": 1.0932, + "step": 500 + }, + { + "epoch": 0.01, + "learning_rate": 4.9021526418786695e-06, + "loss": 0.7593, + "step": 501 + }, + { + "epoch": 0.01, + "learning_rate": 4.911937377690803e-06, + "loss": 0.8855, + "step": 502 + }, + { + "epoch": 0.01, + "learning_rate": 4.921722113502936e-06, + "loss": 0.9722, + "step": 503 + }, + { + "epoch": 0.01, + "learning_rate": 4.931506849315069e-06, + "loss": 0.8831, + "step": 504 + }, + { + "epoch": 0.01, + "learning_rate": 4.941291585127202e-06, + "loss": 1.0004, + "step": 505 + }, + { + "epoch": 0.01, + "learning_rate": 4.9510763209393345e-06, + "loss": 0.9149, + "step": 506 + }, + { + "epoch": 0.01, + "learning_rate": 4.960861056751468e-06, + "loss": 0.7722, + "step": 507 + }, + { + "epoch": 0.01, + "learning_rate": 4.970645792563601e-06, + "loss": 0.9181, + "step": 508 + }, + { + "epoch": 0.01, + "learning_rate": 4.980430528375734e-06, + "loss": 1.2342, + "step": 509 + }, + { + "epoch": 0.01, + "learning_rate": 4.990215264187867e-06, + "loss": 0.8949, + "step": 510 + }, + { + "epoch": 0.02, + "learning_rate": 5e-06, + "loss": 0.8803, + "step": 511 + }, + { + "epoch": 0.02, + "learning_rate": 5.009784735812134e-06, + "loss": 0.9846, + "step": 512 + }, + { + "epoch": 0.02, + "learning_rate": 5.019569471624267e-06, + "loss": 1.0416, + "step": 513 + }, + { + "epoch": 0.02, + "learning_rate": 5.0293542074364e-06, + "loss": 0.7415, + "step": 514 + }, + { + "epoch": 0.02, + "learning_rate": 5.039138943248533e-06, + "loss": 0.7835, + "step": 515 + }, + { + "epoch": 0.02, + "learning_rate": 5.0489236790606654e-06, + "loss": 0.8298, + "step": 516 + }, + { + "epoch": 0.02, + "learning_rate": 5.0587084148727995e-06, + "loss": 0.8703, + "step": 517 + }, + { + "epoch": 0.02, + "learning_rate": 5.068493150684932e-06, + "loss": 1.1995, + "step": 518 + }, + { + "epoch": 0.02, + "learning_rate": 5.078277886497065e-06, + "loss": 0.798, + "step": 519 + }, + { + "epoch": 0.02, + "learning_rate": 5.088062622309198e-06, + "loss": 0.9612, + "step": 520 + }, + { + "epoch": 0.02, + "learning_rate": 5.097847358121331e-06, + "loss": 1.0823, + "step": 521 + }, + { + "epoch": 0.02, + "learning_rate": 5.1076320939334645e-06, + "loss": 1.0744, + "step": 522 + }, + { + "epoch": 0.02, + "learning_rate": 5.117416829745598e-06, + "loss": 0.7641, + "step": 523 + }, + { + "epoch": 0.02, + "learning_rate": 5.12720156555773e-06, + "loss": 1.2339, + "step": 524 + }, + { + "epoch": 0.02, + "learning_rate": 5.136986301369864e-06, + "loss": 0.8643, + "step": 525 + }, + { + "epoch": 0.02, + "learning_rate": 5.146771037181997e-06, + "loss": 0.7855, + "step": 526 + }, + { + "epoch": 0.02, + "learning_rate": 5.1565557729941295e-06, + "loss": 1.3343, + "step": 527 + }, + { + "epoch": 0.02, + "learning_rate": 5.166340508806263e-06, + "loss": 1.0271, + "step": 528 + }, + { + "epoch": 0.02, + "learning_rate": 5.176125244618396e-06, + "loss": 0.8401, + "step": 529 + }, + { + "epoch": 0.02, + "learning_rate": 5.185909980430529e-06, + "loss": 0.887, + "step": 530 + }, + { + "epoch": 0.02, + "learning_rate": 5.195694716242662e-06, + "loss": 0.7277, + "step": 531 + }, + { + "epoch": 0.02, + "learning_rate": 5.2054794520547945e-06, + "loss": 0.9098, + "step": 532 + }, + { + "epoch": 0.02, + "learning_rate": 5.2152641878669286e-06, + "loss": 0.7649, + "step": 533 + }, + { + "epoch": 0.02, + "learning_rate": 5.225048923679062e-06, + "loss": 0.6938, + "step": 534 + }, + { + "epoch": 0.02, + "learning_rate": 5.234833659491194e-06, + "loss": 0.9294, + "step": 535 + }, + { + "epoch": 0.02, + "learning_rate": 5.244618395303327e-06, + "loss": 1.3651, + "step": 536 + }, + { + "epoch": 0.02, + "learning_rate": 5.254403131115461e-06, + "loss": 1.1117, + "step": 537 + }, + { + "epoch": 0.02, + "learning_rate": 5.2641878669275936e-06, + "loss": 1.0433, + "step": 538 + }, + { + "epoch": 0.02, + "learning_rate": 5.273972602739727e-06, + "loss": 1.0055, + "step": 539 + }, + { + "epoch": 0.02, + "learning_rate": 5.283757338551859e-06, + "loss": 0.9665, + "step": 540 + }, + { + "epoch": 0.02, + "learning_rate": 5.293542074363993e-06, + "loss": 1.0857, + "step": 541 + }, + { + "epoch": 0.02, + "learning_rate": 5.303326810176126e-06, + "loss": 0.7437, + "step": 542 + }, + { + "epoch": 0.02, + "learning_rate": 5.313111545988259e-06, + "loss": 0.863, + "step": 543 + }, + { + "epoch": 0.02, + "learning_rate": 5.322896281800392e-06, + "loss": 0.6746, + "step": 544 + }, + { + "epoch": 0.02, + "learning_rate": 5.332681017612526e-06, + "loss": 0.8267, + "step": 545 + }, + { + "epoch": 0.02, + "learning_rate": 5.342465753424658e-06, + "loss": 0.7672, + "step": 546 + }, + { + "epoch": 0.02, + "learning_rate": 5.352250489236791e-06, + "loss": 0.7271, + "step": 547 + }, + { + "epoch": 0.02, + "learning_rate": 5.362035225048924e-06, + "loss": 0.9161, + "step": 548 + }, + { + "epoch": 0.02, + "learning_rate": 5.371819960861058e-06, + "loss": 0.943, + "step": 549 + }, + { + "epoch": 0.02, + "learning_rate": 5.381604696673191e-06, + "loss": 0.6401, + "step": 550 + }, + { + "epoch": 0.02, + "learning_rate": 5.391389432485323e-06, + "loss": 0.9118, + "step": 551 + }, + { + "epoch": 0.02, + "learning_rate": 5.401174168297456e-06, + "loss": 1.2891, + "step": 552 + }, + { + "epoch": 0.02, + "learning_rate": 5.41095890410959e-06, + "loss": 1.0569, + "step": 553 + }, + { + "epoch": 0.02, + "learning_rate": 5.420743639921723e-06, + "loss": 0.8493, + "step": 554 + }, + { + "epoch": 0.02, + "learning_rate": 5.430528375733856e-06, + "loss": 0.9035, + "step": 555 + }, + { + "epoch": 0.02, + "learning_rate": 5.440313111545988e-06, + "loss": 0.9087, + "step": 556 + }, + { + "epoch": 0.02, + "learning_rate": 5.450097847358122e-06, + "loss": 0.8419, + "step": 557 + }, + { + "epoch": 0.02, + "learning_rate": 5.459882583170255e-06, + "loss": 0.8093, + "step": 558 + }, + { + "epoch": 0.02, + "learning_rate": 5.469667318982388e-06, + "loss": 0.8038, + "step": 559 + }, + { + "epoch": 0.02, + "learning_rate": 5.479452054794521e-06, + "loss": 1.012, + "step": 560 + }, + { + "epoch": 0.02, + "learning_rate": 5.489236790606655e-06, + "loss": 0.8211, + "step": 561 + }, + { + "epoch": 0.02, + "learning_rate": 5.499021526418787e-06, + "loss": 1.057, + "step": 562 + }, + { + "epoch": 0.02, + "learning_rate": 5.50880626223092e-06, + "loss": 0.625, + "step": 563 + }, + { + "epoch": 0.02, + "learning_rate": 5.518590998043053e-06, + "loss": 0.9548, + "step": 564 + }, + { + "epoch": 0.02, + "learning_rate": 5.528375733855187e-06, + "loss": 0.946, + "step": 565 + }, + { + "epoch": 0.02, + "learning_rate": 5.53816046966732e-06, + "loss": 1.3842, + "step": 566 + }, + { + "epoch": 0.02, + "learning_rate": 5.547945205479452e-06, + "loss": 1.0642, + "step": 567 + }, + { + "epoch": 0.02, + "learning_rate": 5.557729941291585e-06, + "loss": 1.0058, + "step": 568 + }, + { + "epoch": 0.02, + "learning_rate": 5.5675146771037194e-06, + "loss": 0.8358, + "step": 569 + }, + { + "epoch": 0.02, + "learning_rate": 5.577299412915852e-06, + "loss": 0.7386, + "step": 570 + }, + { + "epoch": 0.02, + "learning_rate": 5.587084148727985e-06, + "loss": 1.0407, + "step": 571 + }, + { + "epoch": 0.02, + "learning_rate": 5.596868884540117e-06, + "loss": 0.785, + "step": 572 + }, + { + "epoch": 0.02, + "learning_rate": 5.606653620352251e-06, + "loss": 1.2176, + "step": 573 + }, + { + "epoch": 0.02, + "learning_rate": 5.6164383561643845e-06, + "loss": 0.8891, + "step": 574 + }, + { + "epoch": 0.02, + "learning_rate": 5.626223091976517e-06, + "loss": 0.8739, + "step": 575 + }, + { + "epoch": 0.02, + "learning_rate": 5.63600782778865e-06, + "loss": 0.909, + "step": 576 + }, + { + "epoch": 0.02, + "learning_rate": 5.645792563600784e-06, + "loss": 1.2224, + "step": 577 + }, + { + "epoch": 0.02, + "learning_rate": 5.655577299412916e-06, + "loss": 1.0279, + "step": 578 + }, + { + "epoch": 0.02, + "learning_rate": 5.6653620352250495e-06, + "loss": 1.1046, + "step": 579 + }, + { + "epoch": 0.02, + "learning_rate": 5.675146771037182e-06, + "loss": 0.9925, + "step": 580 + }, + { + "epoch": 0.02, + "learning_rate": 5.684931506849316e-06, + "loss": 0.7002, + "step": 581 + }, + { + "epoch": 0.02, + "learning_rate": 5.694716242661449e-06, + "loss": 0.8896, + "step": 582 + }, + { + "epoch": 0.02, + "learning_rate": 5.704500978473581e-06, + "loss": 1.0505, + "step": 583 + }, + { + "epoch": 0.02, + "learning_rate": 5.7142857142857145e-06, + "loss": 1.078, + "step": 584 + }, + { + "epoch": 0.02, + "learning_rate": 5.7240704500978485e-06, + "loss": 0.7466, + "step": 585 + }, + { + "epoch": 0.02, + "learning_rate": 5.733855185909981e-06, + "loss": 1.0623, + "step": 586 + }, + { + "epoch": 0.02, + "learning_rate": 5.743639921722114e-06, + "loss": 1.2496, + "step": 587 + }, + { + "epoch": 0.02, + "learning_rate": 5.753424657534246e-06, + "loss": 0.9171, + "step": 588 + }, + { + "epoch": 0.02, + "learning_rate": 5.76320939334638e-06, + "loss": 0.728, + "step": 589 + }, + { + "epoch": 0.02, + "learning_rate": 5.7729941291585136e-06, + "loss": 0.8709, + "step": 590 + }, + { + "epoch": 0.02, + "learning_rate": 5.782778864970646e-06, + "loss": 0.7602, + "step": 591 + }, + { + "epoch": 0.02, + "learning_rate": 5.792563600782779e-06, + "loss": 0.9526, + "step": 592 + }, + { + "epoch": 0.02, + "learning_rate": 5.802348336594913e-06, + "loss": 0.8664, + "step": 593 + }, + { + "epoch": 0.02, + "learning_rate": 5.812133072407045e-06, + "loss": 1.0367, + "step": 594 + }, + { + "epoch": 0.02, + "learning_rate": 5.821917808219179e-06, + "loss": 0.8693, + "step": 595 + }, + { + "epoch": 0.02, + "learning_rate": 5.831702544031311e-06, + "loss": 0.9513, + "step": 596 + }, + { + "epoch": 0.02, + "learning_rate": 5.841487279843445e-06, + "loss": 0.8057, + "step": 597 + }, + { + "epoch": 0.02, + "learning_rate": 5.851272015655578e-06, + "loss": 0.6262, + "step": 598 + }, + { + "epoch": 0.02, + "learning_rate": 5.8610567514677104e-06, + "loss": 1.1645, + "step": 599 + }, + { + "epoch": 0.02, + "learning_rate": 5.870841487279844e-06, + "loss": 0.6575, + "step": 600 + }, + { + "epoch": 0.02, + "learning_rate": 5.880626223091978e-06, + "loss": 0.7972, + "step": 601 + }, + { + "epoch": 0.02, + "learning_rate": 5.89041095890411e-06, + "loss": 1.0441, + "step": 602 + }, + { + "epoch": 0.02, + "learning_rate": 5.900195694716243e-06, + "loss": 1.0692, + "step": 603 + }, + { + "epoch": 0.02, + "learning_rate": 5.909980430528376e-06, + "loss": 0.8786, + "step": 604 + }, + { + "epoch": 0.02, + "learning_rate": 5.9197651663405095e-06, + "loss": 1.1373, + "step": 605 + }, + { + "epoch": 0.02, + "learning_rate": 5.929549902152643e-06, + "loss": 0.9729, + "step": 606 + }, + { + "epoch": 0.02, + "learning_rate": 5.939334637964775e-06, + "loss": 0.8242, + "step": 607 + }, + { + "epoch": 0.02, + "learning_rate": 5.949119373776908e-06, + "loss": 1.0421, + "step": 608 + }, + { + "epoch": 0.02, + "learning_rate": 5.958904109589042e-06, + "loss": 0.918, + "step": 609 + }, + { + "epoch": 0.02, + "learning_rate": 5.9686888454011745e-06, + "loss": 0.9408, + "step": 610 + }, + { + "epoch": 0.02, + "learning_rate": 5.978473581213308e-06, + "loss": 0.8201, + "step": 611 + }, + { + "epoch": 0.02, + "learning_rate": 5.988258317025441e-06, + "loss": 0.7762, + "step": 612 + }, + { + "epoch": 0.02, + "learning_rate": 5.998043052837574e-06, + "loss": 0.6608, + "step": 613 + }, + { + "epoch": 0.02, + "learning_rate": 6.007827788649707e-06, + "loss": 0.9518, + "step": 614 + }, + { + "epoch": 0.02, + "learning_rate": 6.01761252446184e-06, + "loss": 1.1017, + "step": 615 + }, + { + "epoch": 0.02, + "learning_rate": 6.027397260273973e-06, + "loss": 1.0037, + "step": 616 + }, + { + "epoch": 0.02, + "learning_rate": 6.037181996086107e-06, + "loss": 1.002, + "step": 617 + }, + { + "epoch": 0.02, + "learning_rate": 6.046966731898239e-06, + "loss": 1.0708, + "step": 618 + }, + { + "epoch": 0.02, + "learning_rate": 6.056751467710372e-06, + "loss": 1.0577, + "step": 619 + }, + { + "epoch": 0.02, + "learning_rate": 6.066536203522505e-06, + "loss": 0.7665, + "step": 620 + }, + { + "epoch": 0.02, + "learning_rate": 6.0763209393346386e-06, + "loss": 0.7225, + "step": 621 + }, + { + "epoch": 0.02, + "learning_rate": 6.086105675146772e-06, + "loss": 0.7358, + "step": 622 + }, + { + "epoch": 0.02, + "learning_rate": 6.095890410958905e-06, + "loss": 0.7409, + "step": 623 + }, + { + "epoch": 0.02, + "learning_rate": 6.105675146771037e-06, + "loss": 1.0975, + "step": 624 + }, + { + "epoch": 0.02, + "learning_rate": 6.115459882583171e-06, + "loss": 0.661, + "step": 625 + }, + { + "epoch": 0.02, + "learning_rate": 6.1252446183953044e-06, + "loss": 1.0988, + "step": 626 + }, + { + "epoch": 0.02, + "learning_rate": 6.135029354207437e-06, + "loss": 1.0093, + "step": 627 + }, + { + "epoch": 0.02, + "learning_rate": 6.14481409001957e-06, + "loss": 1.1067, + "step": 628 + }, + { + "epoch": 0.02, + "learning_rate": 6.154598825831703e-06, + "loss": 0.7678, + "step": 629 + }, + { + "epoch": 0.02, + "learning_rate": 6.164383561643836e-06, + "loss": 1.13, + "step": 630 + }, + { + "epoch": 0.02, + "learning_rate": 6.1741682974559695e-06, + "loss": 0.4429, + "step": 631 + }, + { + "epoch": 0.02, + "learning_rate": 6.183953033268102e-06, + "loss": 0.6336, + "step": 632 + }, + { + "epoch": 0.02, + "learning_rate": 6.193737769080236e-06, + "loss": 0.9761, + "step": 633 + }, + { + "epoch": 0.02, + "learning_rate": 6.203522504892369e-06, + "loss": 0.7492, + "step": 634 + }, + { + "epoch": 0.02, + "learning_rate": 6.213307240704501e-06, + "loss": 0.8747, + "step": 635 + }, + { + "epoch": 0.02, + "learning_rate": 6.2230919765166345e-06, + "loss": 1.1416, + "step": 636 + }, + { + "epoch": 0.02, + "learning_rate": 6.2328767123287685e-06, + "loss": 0.9449, + "step": 637 + }, + { + "epoch": 0.02, + "learning_rate": 6.242661448140901e-06, + "loss": 0.7754, + "step": 638 + }, + { + "epoch": 0.02, + "learning_rate": 6.252446183953034e-06, + "loss": 1.2306, + "step": 639 + }, + { + "epoch": 0.02, + "learning_rate": 6.262230919765166e-06, + "loss": 1.0283, + "step": 640 + }, + { + "epoch": 0.02, + "learning_rate": 6.2720156555773e-06, + "loss": 0.9921, + "step": 641 + }, + { + "epoch": 0.02, + "learning_rate": 6.2818003913894335e-06, + "loss": 0.9142, + "step": 642 + }, + { + "epoch": 0.02, + "learning_rate": 6.291585127201566e-06, + "loss": 1.2063, + "step": 643 + }, + { + "epoch": 0.02, + "learning_rate": 6.301369863013699e-06, + "loss": 0.9511, + "step": 644 + }, + { + "epoch": 0.02, + "learning_rate": 6.311154598825833e-06, + "loss": 0.5665, + "step": 645 + }, + { + "epoch": 0.02, + "learning_rate": 6.320939334637965e-06, + "loss": 1.0798, + "step": 646 + }, + { + "epoch": 0.02, + "learning_rate": 6.3307240704500986e-06, + "loss": 0.8852, + "step": 647 + }, + { + "epoch": 0.02, + "learning_rate": 6.340508806262231e-06, + "loss": 0.9049, + "step": 648 + }, + { + "epoch": 0.02, + "learning_rate": 6.350293542074365e-06, + "loss": 1.096, + "step": 649 + }, + { + "epoch": 0.02, + "learning_rate": 6.360078277886498e-06, + "loss": 0.7147, + "step": 650 + }, + { + "epoch": 0.02, + "learning_rate": 6.36986301369863e-06, + "loss": 1.0473, + "step": 651 + }, + { + "epoch": 0.02, + "learning_rate": 6.379647749510764e-06, + "loss": 0.9969, + "step": 652 + }, + { + "epoch": 0.02, + "learning_rate": 6.389432485322898e-06, + "loss": 1.0093, + "step": 653 + }, + { + "epoch": 0.02, + "learning_rate": 6.39921722113503e-06, + "loss": 1.1764, + "step": 654 + }, + { + "epoch": 0.02, + "learning_rate": 6.409001956947163e-06, + "loss": 1.2125, + "step": 655 + }, + { + "epoch": 0.02, + "learning_rate": 6.4187866927592954e-06, + "loss": 0.9029, + "step": 656 + }, + { + "epoch": 0.02, + "learning_rate": 6.4285714285714295e-06, + "loss": 0.7842, + "step": 657 + }, + { + "epoch": 0.02, + "learning_rate": 6.438356164383563e-06, + "loss": 0.9484, + "step": 658 + }, + { + "epoch": 0.02, + "learning_rate": 6.448140900195695e-06, + "loss": 0.7756, + "step": 659 + }, + { + "epoch": 0.02, + "learning_rate": 6.457925636007828e-06, + "loss": 0.9138, + "step": 660 + }, + { + "epoch": 0.02, + "learning_rate": 6.467710371819962e-06, + "loss": 0.9133, + "step": 661 + }, + { + "epoch": 0.02, + "learning_rate": 6.4774951076320945e-06, + "loss": 0.779, + "step": 662 + }, + { + "epoch": 0.02, + "learning_rate": 6.487279843444228e-06, + "loss": 0.92, + "step": 663 + }, + { + "epoch": 0.02, + "learning_rate": 6.49706457925636e-06, + "loss": 1.0393, + "step": 664 + }, + { + "epoch": 0.02, + "learning_rate": 6.506849315068494e-06, + "loss": 0.9756, + "step": 665 + }, + { + "epoch": 0.02, + "learning_rate": 6.516634050880627e-06, + "loss": 0.8691, + "step": 666 + }, + { + "epoch": 0.02, + "learning_rate": 6.5264187866927595e-06, + "loss": 0.9098, + "step": 667 + }, + { + "epoch": 0.02, + "learning_rate": 6.536203522504893e-06, + "loss": 0.8551, + "step": 668 + }, + { + "epoch": 0.02, + "learning_rate": 6.545988258317027e-06, + "loss": 0.8107, + "step": 669 + }, + { + "epoch": 0.02, + "learning_rate": 6.555772994129159e-06, + "loss": 0.9161, + "step": 670 + }, + { + "epoch": 0.02, + "learning_rate": 6.565557729941292e-06, + "loss": 0.9131, + "step": 671 + }, + { + "epoch": 0.02, + "learning_rate": 6.5753424657534245e-06, + "loss": 0.8964, + "step": 672 + }, + { + "epoch": 0.02, + "learning_rate": 6.5851272015655586e-06, + "loss": 0.8901, + "step": 673 + }, + { + "epoch": 0.02, + "learning_rate": 6.594911937377692e-06, + "loss": 0.7629, + "step": 674 + }, + { + "epoch": 0.02, + "learning_rate": 6.604696673189824e-06, + "loss": 0.7646, + "step": 675 + }, + { + "epoch": 0.02, + "learning_rate": 6.614481409001957e-06, + "loss": 1.0781, + "step": 676 + }, + { + "epoch": 0.02, + "learning_rate": 6.624266144814091e-06, + "loss": 0.9233, + "step": 677 + }, + { + "epoch": 0.02, + "learning_rate": 6.634050880626224e-06, + "loss": 0.9631, + "step": 678 + }, + { + "epoch": 0.02, + "learning_rate": 6.643835616438357e-06, + "loss": 0.7475, + "step": 679 + }, + { + "epoch": 0.02, + "learning_rate": 6.653620352250489e-06, + "loss": 1.0005, + "step": 680 + }, + { + "epoch": 0.02, + "learning_rate": 6.663405088062623e-06, + "loss": 0.996, + "step": 681 + }, + { + "epoch": 0.02, + "learning_rate": 6.673189823874756e-06, + "loss": 1.0023, + "step": 682 + }, + { + "epoch": 0.02, + "learning_rate": 6.682974559686889e-06, + "loss": 0.9633, + "step": 683 + }, + { + "epoch": 0.02, + "learning_rate": 6.692759295499022e-06, + "loss": 1.0253, + "step": 684 + }, + { + "epoch": 0.02, + "learning_rate": 6.702544031311156e-06, + "loss": 0.8283, + "step": 685 + }, + { + "epoch": 0.02, + "learning_rate": 6.712328767123288e-06, + "loss": 1.0417, + "step": 686 + }, + { + "epoch": 0.02, + "learning_rate": 6.722113502935421e-06, + "loss": 0.6912, + "step": 687 + }, + { + "epoch": 0.02, + "learning_rate": 6.731898238747554e-06, + "loss": 1.1959, + "step": 688 + }, + { + "epoch": 0.02, + "learning_rate": 6.741682974559688e-06, + "loss": 0.8375, + "step": 689 + }, + { + "epoch": 0.02, + "learning_rate": 6.751467710371821e-06, + "loss": 0.7512, + "step": 690 + }, + { + "epoch": 0.02, + "learning_rate": 6.761252446183953e-06, + "loss": 0.7897, + "step": 691 + }, + { + "epoch": 0.02, + "learning_rate": 6.771037181996086e-06, + "loss": 1.0393, + "step": 692 + }, + { + "epoch": 0.02, + "learning_rate": 6.78082191780822e-06, + "loss": 0.7248, + "step": 693 + }, + { + "epoch": 0.02, + "learning_rate": 6.790606653620353e-06, + "loss": 0.9599, + "step": 694 + }, + { + "epoch": 0.02, + "learning_rate": 6.800391389432486e-06, + "loss": 0.9435, + "step": 695 + }, + { + "epoch": 0.02, + "learning_rate": 6.810176125244618e-06, + "loss": 1.0523, + "step": 696 + }, + { + "epoch": 0.02, + "learning_rate": 6.819960861056752e-06, + "loss": 0.8691, + "step": 697 + }, + { + "epoch": 0.02, + "learning_rate": 6.829745596868885e-06, + "loss": 1.1121, + "step": 698 + }, + { + "epoch": 0.02, + "learning_rate": 6.839530332681018e-06, + "loss": 0.8256, + "step": 699 + }, + { + "epoch": 0.02, + "learning_rate": 6.849315068493151e-06, + "loss": 0.9541, + "step": 700 + }, + { + "epoch": 0.02, + "learning_rate": 6.859099804305285e-06, + "loss": 0.9629, + "step": 701 + }, + { + "epoch": 0.02, + "learning_rate": 6.868884540117417e-06, + "loss": 0.9847, + "step": 702 + }, + { + "epoch": 0.02, + "learning_rate": 6.87866927592955e-06, + "loss": 0.8188, + "step": 703 + }, + { + "epoch": 0.02, + "learning_rate": 6.8884540117416836e-06, + "loss": 1.1427, + "step": 704 + }, + { + "epoch": 0.02, + "learning_rate": 6.898238747553817e-06, + "loss": 0.729, + "step": 705 + }, + { + "epoch": 0.02, + "learning_rate": 6.90802348336595e-06, + "loss": 0.8429, + "step": 706 + }, + { + "epoch": 0.02, + "learning_rate": 6.917808219178082e-06, + "loss": 0.958, + "step": 707 + }, + { + "epoch": 0.02, + "learning_rate": 6.927592954990215e-06, + "loss": 0.659, + "step": 708 + }, + { + "epoch": 0.02, + "learning_rate": 6.9373776908023494e-06, + "loss": 1.1726, + "step": 709 + }, + { + "epoch": 0.02, + "learning_rate": 6.947162426614482e-06, + "loss": 0.8372, + "step": 710 + }, + { + "epoch": 0.02, + "learning_rate": 6.956947162426615e-06, + "loss": 1.0543, + "step": 711 + }, + { + "epoch": 0.02, + "learning_rate": 6.966731898238748e-06, + "loss": 0.7446, + "step": 712 + }, + { + "epoch": 0.02, + "learning_rate": 6.976516634050881e-06, + "loss": 0.8756, + "step": 713 + }, + { + "epoch": 0.02, + "learning_rate": 6.9863013698630145e-06, + "loss": 0.7388, + "step": 714 + }, + { + "epoch": 0.02, + "learning_rate": 6.996086105675148e-06, + "loss": 0.6429, + "step": 715 + }, + { + "epoch": 0.02, + "learning_rate": 7.00587084148728e-06, + "loss": 0.9808, + "step": 716 + }, + { + "epoch": 0.02, + "learning_rate": 7.015655577299414e-06, + "loss": 1.0141, + "step": 717 + }, + { + "epoch": 0.02, + "learning_rate": 7.025440313111546e-06, + "loss": 1.1392, + "step": 718 + }, + { + "epoch": 0.02, + "learning_rate": 7.0352250489236795e-06, + "loss": 0.8895, + "step": 719 + }, + { + "epoch": 0.02, + "learning_rate": 7.045009784735813e-06, + "loss": 0.789, + "step": 720 + }, + { + "epoch": 0.02, + "learning_rate": 7.054794520547946e-06, + "loss": 0.9188, + "step": 721 + }, + { + "epoch": 0.02, + "learning_rate": 7.064579256360079e-06, + "loss": 0.75, + "step": 722 + }, + { + "epoch": 0.02, + "learning_rate": 7.074363992172212e-06, + "loss": 0.8736, + "step": 723 + }, + { + "epoch": 0.02, + "learning_rate": 7.0841487279843445e-06, + "loss": 1.0138, + "step": 724 + }, + { + "epoch": 0.02, + "learning_rate": 7.0939334637964785e-06, + "loss": 0.791, + "step": 725 + }, + { + "epoch": 0.02, + "learning_rate": 7.103718199608612e-06, + "loss": 0.9256, + "step": 726 + }, + { + "epoch": 0.02, + "learning_rate": 7.113502935420744e-06, + "loss": 0.8711, + "step": 727 + }, + { + "epoch": 0.02, + "learning_rate": 7.123287671232877e-06, + "loss": 1.1158, + "step": 728 + }, + { + "epoch": 0.02, + "learning_rate": 7.13307240704501e-06, + "loss": 0.8943, + "step": 729 + }, + { + "epoch": 0.02, + "learning_rate": 7.1428571428571436e-06, + "loss": 0.8323, + "step": 730 + }, + { + "epoch": 0.02, + "learning_rate": 7.152641878669277e-06, + "loss": 1.0025, + "step": 731 + }, + { + "epoch": 0.02, + "learning_rate": 7.162426614481409e-06, + "loss": 0.9135, + "step": 732 + }, + { + "epoch": 0.02, + "learning_rate": 7.172211350293543e-06, + "loss": 1.0255, + "step": 733 + }, + { + "epoch": 0.02, + "learning_rate": 7.181996086105676e-06, + "loss": 1.0966, + "step": 734 + }, + { + "epoch": 0.02, + "learning_rate": 7.191780821917809e-06, + "loss": 0.578, + "step": 735 + }, + { + "epoch": 0.02, + "learning_rate": 7.201565557729942e-06, + "loss": 0.775, + "step": 736 + }, + { + "epoch": 0.02, + "learning_rate": 7.211350293542076e-06, + "loss": 0.8525, + "step": 737 + }, + { + "epoch": 0.02, + "learning_rate": 7.221135029354208e-06, + "loss": 0.6888, + "step": 738 + }, + { + "epoch": 0.02, + "learning_rate": 7.230919765166341e-06, + "loss": 0.7433, + "step": 739 + }, + { + "epoch": 0.02, + "learning_rate": 7.240704500978474e-06, + "loss": 0.8213, + "step": 740 + }, + { + "epoch": 0.02, + "learning_rate": 7.250489236790608e-06, + "loss": 0.9557, + "step": 741 + }, + { + "epoch": 0.02, + "learning_rate": 7.260273972602741e-06, + "loss": 0.7501, + "step": 742 + }, + { + "epoch": 0.02, + "learning_rate": 7.270058708414873e-06, + "loss": 1.1096, + "step": 743 + }, + { + "epoch": 0.02, + "learning_rate": 7.279843444227006e-06, + "loss": 1.0171, + "step": 744 + }, + { + "epoch": 0.02, + "learning_rate": 7.28962818003914e-06, + "loss": 0.7104, + "step": 745 + }, + { + "epoch": 0.02, + "learning_rate": 7.299412915851273e-06, + "loss": 0.9412, + "step": 746 + }, + { + "epoch": 0.02, + "learning_rate": 7.309197651663406e-06, + "loss": 0.902, + "step": 747 + }, + { + "epoch": 0.02, + "learning_rate": 7.318982387475538e-06, + "loss": 0.6831, + "step": 748 + }, + { + "epoch": 0.02, + "learning_rate": 7.328767123287672e-06, + "loss": 1.0106, + "step": 749 + }, + { + "epoch": 0.02, + "learning_rate": 7.338551859099805e-06, + "loss": 1.2758, + "step": 750 + }, + { + "epoch": 0.02, + "learning_rate": 7.348336594911938e-06, + "loss": 0.9961, + "step": 751 + }, + { + "epoch": 0.02, + "learning_rate": 7.358121330724071e-06, + "loss": 0.7031, + "step": 752 + }, + { + "epoch": 0.02, + "learning_rate": 7.367906066536205e-06, + "loss": 0.9138, + "step": 753 + }, + { + "epoch": 0.02, + "learning_rate": 7.377690802348337e-06, + "loss": 0.9611, + "step": 754 + }, + { + "epoch": 0.02, + "learning_rate": 7.38747553816047e-06, + "loss": 0.7902, + "step": 755 + }, + { + "epoch": 0.02, + "learning_rate": 7.397260273972603e-06, + "loss": 0.9486, + "step": 756 + }, + { + "epoch": 0.02, + "learning_rate": 7.407045009784737e-06, + "loss": 0.6947, + "step": 757 + }, + { + "epoch": 0.02, + "learning_rate": 7.41682974559687e-06, + "loss": 1.0852, + "step": 758 + }, + { + "epoch": 0.02, + "learning_rate": 7.426614481409002e-06, + "loss": 1.0072, + "step": 759 + }, + { + "epoch": 0.02, + "learning_rate": 7.436399217221135e-06, + "loss": 0.9398, + "step": 760 + }, + { + "epoch": 0.02, + "learning_rate": 7.4461839530332694e-06, + "loss": 1.145, + "step": 761 + }, + { + "epoch": 0.02, + "learning_rate": 7.455968688845402e-06, + "loss": 0.6733, + "step": 762 + }, + { + "epoch": 0.02, + "learning_rate": 7.465753424657535e-06, + "loss": 0.894, + "step": 763 + }, + { + "epoch": 0.02, + "learning_rate": 7.475538160469667e-06, + "loss": 0.7693, + "step": 764 + }, + { + "epoch": 0.02, + "learning_rate": 7.485322896281801e-06, + "loss": 0.8398, + "step": 765 + }, + { + "epoch": 0.02, + "learning_rate": 7.4951076320939344e-06, + "loss": 0.9816, + "step": 766 + }, + { + "epoch": 0.02, + "learning_rate": 7.504892367906067e-06, + "loss": 1.0609, + "step": 767 + }, + { + "epoch": 0.02, + "learning_rate": 7.5146771037182e-06, + "loss": 0.8903, + "step": 768 + }, + { + "epoch": 0.02, + "learning_rate": 7.524461839530334e-06, + "loss": 0.8617, + "step": 769 + }, + { + "epoch": 0.02, + "learning_rate": 7.534246575342466e-06, + "loss": 0.9368, + "step": 770 + }, + { + "epoch": 0.02, + "learning_rate": 7.5440313111545995e-06, + "loss": 0.8873, + "step": 771 + }, + { + "epoch": 0.02, + "learning_rate": 7.553816046966732e-06, + "loss": 0.8851, + "step": 772 + }, + { + "epoch": 0.02, + "learning_rate": 7.563600782778866e-06, + "loss": 0.8913, + "step": 773 + }, + { + "epoch": 0.02, + "learning_rate": 7.573385518590999e-06, + "loss": 0.8708, + "step": 774 + }, + { + "epoch": 0.02, + "learning_rate": 7.583170254403131e-06, + "loss": 0.9475, + "step": 775 + }, + { + "epoch": 0.02, + "learning_rate": 7.5929549902152645e-06, + "loss": 0.8319, + "step": 776 + }, + { + "epoch": 0.02, + "learning_rate": 7.6027397260273985e-06, + "loss": 0.8852, + "step": 777 + }, + { + "epoch": 0.02, + "learning_rate": 7.612524461839531e-06, + "loss": 1.0336, + "step": 778 + }, + { + "epoch": 0.02, + "learning_rate": 7.622309197651664e-06, + "loss": 1.1144, + "step": 779 + }, + { + "epoch": 0.02, + "learning_rate": 7.632093933463796e-06, + "loss": 0.7939, + "step": 780 + }, + { + "epoch": 0.02, + "learning_rate": 7.641878669275931e-06, + "loss": 0.7062, + "step": 781 + }, + { + "epoch": 0.02, + "learning_rate": 7.651663405088063e-06, + "loss": 0.7002, + "step": 782 + }, + { + "epoch": 0.02, + "learning_rate": 7.661448140900196e-06, + "loss": 0.8398, + "step": 783 + }, + { + "epoch": 0.02, + "learning_rate": 7.671232876712329e-06, + "loss": 1.1151, + "step": 784 + }, + { + "epoch": 0.02, + "learning_rate": 7.681017612524462e-06, + "loss": 0.6805, + "step": 785 + }, + { + "epoch": 0.02, + "learning_rate": 7.690802348336595e-06, + "loss": 0.9213, + "step": 786 + }, + { + "epoch": 0.02, + "learning_rate": 7.700587084148729e-06, + "loss": 0.7192, + "step": 787 + }, + { + "epoch": 0.02, + "learning_rate": 7.710371819960862e-06, + "loss": 0.8357, + "step": 788 + }, + { + "epoch": 0.02, + "learning_rate": 7.720156555772995e-06, + "loss": 0.9325, + "step": 789 + }, + { + "epoch": 0.02, + "learning_rate": 7.729941291585128e-06, + "loss": 0.7092, + "step": 790 + }, + { + "epoch": 0.02, + "learning_rate": 7.739726027397261e-06, + "loss": 0.8298, + "step": 791 + }, + { + "epoch": 0.02, + "learning_rate": 7.749510763209393e-06, + "loss": 0.8345, + "step": 792 + }, + { + "epoch": 0.02, + "learning_rate": 7.759295499021528e-06, + "loss": 0.7207, + "step": 793 + }, + { + "epoch": 0.02, + "learning_rate": 7.76908023483366e-06, + "loss": 0.7894, + "step": 794 + }, + { + "epoch": 0.02, + "learning_rate": 7.778864970645792e-06, + "loss": 0.8252, + "step": 795 + }, + { + "epoch": 0.02, + "learning_rate": 7.788649706457925e-06, + "loss": 0.682, + "step": 796 + }, + { + "epoch": 0.02, + "learning_rate": 7.79843444227006e-06, + "loss": 0.718, + "step": 797 + }, + { + "epoch": 0.02, + "learning_rate": 7.808219178082192e-06, + "loss": 0.5607, + "step": 798 + }, + { + "epoch": 0.02, + "learning_rate": 7.818003913894325e-06, + "loss": 0.9159, + "step": 799 + }, + { + "epoch": 0.02, + "learning_rate": 7.827788649706458e-06, + "loss": 0.7475, + "step": 800 + }, + { + "epoch": 0.02, + "learning_rate": 7.837573385518591e-06, + "loss": 0.6406, + "step": 801 + }, + { + "epoch": 0.02, + "learning_rate": 7.847358121330724e-06, + "loss": 0.8028, + "step": 802 + }, + { + "epoch": 0.02, + "learning_rate": 7.857142857142858e-06, + "loss": 1.0919, + "step": 803 + }, + { + "epoch": 0.02, + "learning_rate": 7.86692759295499e-06, + "loss": 0.8668, + "step": 804 + }, + { + "epoch": 0.02, + "learning_rate": 7.876712328767124e-06, + "loss": 0.8781, + "step": 805 + }, + { + "epoch": 0.02, + "learning_rate": 7.886497064579257e-06, + "loss": 0.9276, + "step": 806 + }, + { + "epoch": 0.02, + "learning_rate": 7.89628180039139e-06, + "loss": 0.9452, + "step": 807 + }, + { + "epoch": 0.02, + "learning_rate": 7.906066536203524e-06, + "loss": 0.8497, + "step": 808 + }, + { + "epoch": 0.02, + "learning_rate": 7.915851272015657e-06, + "loss": 0.8935, + "step": 809 + }, + { + "epoch": 0.02, + "learning_rate": 7.92563600782779e-06, + "loss": 0.5946, + "step": 810 + }, + { + "epoch": 0.02, + "learning_rate": 7.935420743639921e-06, + "loss": 0.8479, + "step": 811 + }, + { + "epoch": 0.02, + "learning_rate": 7.945205479452055e-06, + "loss": 0.7281, + "step": 812 + }, + { + "epoch": 0.02, + "learning_rate": 7.95499021526419e-06, + "loss": 0.953, + "step": 813 + }, + { + "epoch": 0.02, + "learning_rate": 7.964774951076321e-06, + "loss": 0.8101, + "step": 814 + }, + { + "epoch": 0.02, + "learning_rate": 7.974559686888454e-06, + "loss": 0.9561, + "step": 815 + }, + { + "epoch": 0.02, + "learning_rate": 7.984344422700587e-06, + "loss": 0.6088, + "step": 816 + }, + { + "epoch": 0.02, + "learning_rate": 7.99412915851272e-06, + "loss": 0.7457, + "step": 817 + }, + { + "epoch": 0.02, + "learning_rate": 8.003913894324854e-06, + "loss": 0.6373, + "step": 818 + }, + { + "epoch": 0.02, + "learning_rate": 8.013698630136987e-06, + "loss": 0.9657, + "step": 819 + }, + { + "epoch": 0.02, + "learning_rate": 8.02348336594912e-06, + "loss": 0.6065, + "step": 820 + }, + { + "epoch": 0.02, + "learning_rate": 8.033268101761253e-06, + "loss": 0.92, + "step": 821 + }, + { + "epoch": 0.02, + "learning_rate": 8.043052837573386e-06, + "loss": 0.8666, + "step": 822 + }, + { + "epoch": 0.02, + "learning_rate": 8.05283757338552e-06, + "loss": 0.7852, + "step": 823 + }, + { + "epoch": 0.02, + "learning_rate": 8.062622309197653e-06, + "loss": 0.8255, + "step": 824 + }, + { + "epoch": 0.02, + "learning_rate": 8.072407045009786e-06, + "loss": 0.8874, + "step": 825 + }, + { + "epoch": 0.02, + "learning_rate": 8.082191780821919e-06, + "loss": 0.9818, + "step": 826 + }, + { + "epoch": 0.02, + "learning_rate": 8.091976516634052e-06, + "loss": 1.1436, + "step": 827 + }, + { + "epoch": 0.02, + "learning_rate": 8.101761252446184e-06, + "loss": 0.9319, + "step": 828 + }, + { + "epoch": 0.02, + "learning_rate": 8.111545988258319e-06, + "loss": 0.9882, + "step": 829 + }, + { + "epoch": 0.02, + "learning_rate": 8.121330724070452e-06, + "loss": 0.8171, + "step": 830 + }, + { + "epoch": 0.02, + "learning_rate": 8.131115459882583e-06, + "loss": 0.9477, + "step": 831 + }, + { + "epoch": 0.02, + "learning_rate": 8.140900195694716e-06, + "loss": 0.9166, + "step": 832 + }, + { + "epoch": 0.02, + "learning_rate": 8.150684931506851e-06, + "loss": 0.9344, + "step": 833 + }, + { + "epoch": 0.02, + "learning_rate": 8.160469667318983e-06, + "loss": 0.9518, + "step": 834 + }, + { + "epoch": 0.02, + "learning_rate": 8.170254403131116e-06, + "loss": 0.772, + "step": 835 + }, + { + "epoch": 0.02, + "learning_rate": 8.180039138943249e-06, + "loss": 0.861, + "step": 836 + }, + { + "epoch": 0.02, + "learning_rate": 8.189823874755382e-06, + "loss": 0.8382, + "step": 837 + }, + { + "epoch": 0.02, + "learning_rate": 8.199608610567515e-06, + "loss": 1.0383, + "step": 838 + }, + { + "epoch": 0.02, + "learning_rate": 8.209393346379649e-06, + "loss": 0.9813, + "step": 839 + }, + { + "epoch": 0.02, + "learning_rate": 8.219178082191782e-06, + "loss": 0.7707, + "step": 840 + }, + { + "epoch": 0.02, + "learning_rate": 8.228962818003915e-06, + "loss": 0.6906, + "step": 841 + }, + { + "epoch": 0.02, + "learning_rate": 8.238747553816048e-06, + "loss": 1.1028, + "step": 842 + }, + { + "epoch": 0.02, + "learning_rate": 8.248532289628181e-06, + "loss": 1.239, + "step": 843 + }, + { + "epoch": 0.02, + "learning_rate": 8.258317025440313e-06, + "loss": 0.9572, + "step": 844 + }, + { + "epoch": 0.02, + "learning_rate": 8.268101761252448e-06, + "loss": 1.0059, + "step": 845 + }, + { + "epoch": 0.02, + "learning_rate": 8.27788649706458e-06, + "loss": 0.8675, + "step": 846 + }, + { + "epoch": 0.02, + "learning_rate": 8.287671232876712e-06, + "loss": 0.8672, + "step": 847 + }, + { + "epoch": 0.02, + "learning_rate": 8.297455968688845e-06, + "loss": 0.7863, + "step": 848 + }, + { + "epoch": 0.02, + "learning_rate": 8.30724070450098e-06, + "loss": 0.7506, + "step": 849 + }, + { + "epoch": 0.02, + "learning_rate": 8.317025440313112e-06, + "loss": 0.9269, + "step": 850 + }, + { + "epoch": 0.03, + "learning_rate": 8.326810176125245e-06, + "loss": 0.8732, + "step": 851 + }, + { + "epoch": 0.03, + "learning_rate": 8.336594911937378e-06, + "loss": 0.8715, + "step": 852 + }, + { + "epoch": 0.03, + "learning_rate": 8.346379647749511e-06, + "loss": 0.8743, + "step": 853 + }, + { + "epoch": 0.03, + "learning_rate": 8.356164383561644e-06, + "loss": 0.6962, + "step": 854 + }, + { + "epoch": 0.03, + "learning_rate": 8.365949119373778e-06, + "loss": 0.876, + "step": 855 + }, + { + "epoch": 0.03, + "learning_rate": 8.37573385518591e-06, + "loss": 0.9132, + "step": 856 + }, + { + "epoch": 0.03, + "learning_rate": 8.385518590998044e-06, + "loss": 0.7876, + "step": 857 + }, + { + "epoch": 0.03, + "learning_rate": 8.395303326810177e-06, + "loss": 0.8883, + "step": 858 + }, + { + "epoch": 0.03, + "learning_rate": 8.40508806262231e-06, + "loss": 1.0352, + "step": 859 + }, + { + "epoch": 0.03, + "learning_rate": 8.414872798434442e-06, + "loss": 0.9711, + "step": 860 + }, + { + "epoch": 0.03, + "learning_rate": 8.424657534246577e-06, + "loss": 0.8442, + "step": 861 + }, + { + "epoch": 0.03, + "learning_rate": 8.43444227005871e-06, + "loss": 0.9646, + "step": 862 + }, + { + "epoch": 0.03, + "learning_rate": 8.444227005870841e-06, + "loss": 0.9519, + "step": 863 + }, + { + "epoch": 0.03, + "learning_rate": 8.454011741682975e-06, + "loss": 1.094, + "step": 864 + }, + { + "epoch": 0.03, + "learning_rate": 8.46379647749511e-06, + "loss": 0.7766, + "step": 865 + }, + { + "epoch": 0.03, + "learning_rate": 8.473581213307241e-06, + "loss": 0.9896, + "step": 866 + }, + { + "epoch": 0.03, + "learning_rate": 8.483365949119374e-06, + "loss": 0.7916, + "step": 867 + }, + { + "epoch": 0.03, + "learning_rate": 8.493150684931507e-06, + "loss": 0.9032, + "step": 868 + }, + { + "epoch": 0.03, + "learning_rate": 8.50293542074364e-06, + "loss": 0.7948, + "step": 869 + }, + { + "epoch": 0.03, + "learning_rate": 8.512720156555774e-06, + "loss": 0.8194, + "step": 870 + }, + { + "epoch": 0.03, + "learning_rate": 8.522504892367907e-06, + "loss": 0.9215, + "step": 871 + }, + { + "epoch": 0.03, + "learning_rate": 8.53228962818004e-06, + "loss": 0.8579, + "step": 872 + }, + { + "epoch": 0.03, + "learning_rate": 8.542074363992173e-06, + "loss": 0.9655, + "step": 873 + }, + { + "epoch": 0.03, + "learning_rate": 8.551859099804306e-06, + "loss": 0.733, + "step": 874 + }, + { + "epoch": 0.03, + "learning_rate": 8.56164383561644e-06, + "loss": 0.9618, + "step": 875 + }, + { + "epoch": 0.03, + "learning_rate": 8.571428571428571e-06, + "loss": 0.8369, + "step": 876 + }, + { + "epoch": 0.03, + "learning_rate": 8.581213307240706e-06, + "loss": 0.738, + "step": 877 + }, + { + "epoch": 0.03, + "learning_rate": 8.590998043052839e-06, + "loss": 1.048, + "step": 878 + }, + { + "epoch": 0.03, + "learning_rate": 8.60078277886497e-06, + "loss": 0.6739, + "step": 879 + }, + { + "epoch": 0.03, + "learning_rate": 8.610567514677104e-06, + "loss": 0.9923, + "step": 880 + }, + { + "epoch": 0.03, + "learning_rate": 8.620352250489238e-06, + "loss": 1.0208, + "step": 881 + }, + { + "epoch": 0.03, + "learning_rate": 8.63013698630137e-06, + "loss": 0.8702, + "step": 882 + }, + { + "epoch": 0.03, + "learning_rate": 8.639921722113503e-06, + "loss": 0.8438, + "step": 883 + }, + { + "epoch": 0.03, + "learning_rate": 8.649706457925636e-06, + "loss": 0.9533, + "step": 884 + }, + { + "epoch": 0.03, + "learning_rate": 8.65949119373777e-06, + "loss": 0.5563, + "step": 885 + }, + { + "epoch": 0.03, + "learning_rate": 8.669275929549903e-06, + "loss": 0.872, + "step": 886 + }, + { + "epoch": 0.03, + "learning_rate": 8.679060665362036e-06, + "loss": 0.495, + "step": 887 + }, + { + "epoch": 0.03, + "learning_rate": 8.688845401174169e-06, + "loss": 0.8995, + "step": 888 + }, + { + "epoch": 0.03, + "learning_rate": 8.698630136986302e-06, + "loss": 0.7576, + "step": 889 + }, + { + "epoch": 0.03, + "learning_rate": 8.708414872798435e-06, + "loss": 0.9075, + "step": 890 + }, + { + "epoch": 0.03, + "learning_rate": 8.718199608610569e-06, + "loss": 0.8195, + "step": 891 + }, + { + "epoch": 0.03, + "learning_rate": 8.7279843444227e-06, + "loss": 0.6847, + "step": 892 + }, + { + "epoch": 0.03, + "learning_rate": 8.737769080234835e-06, + "loss": 0.8309, + "step": 893 + }, + { + "epoch": 0.03, + "learning_rate": 8.747553816046968e-06, + "loss": 1.149, + "step": 894 + }, + { + "epoch": 0.03, + "learning_rate": 8.7573385518591e-06, + "loss": 0.8457, + "step": 895 + }, + { + "epoch": 0.03, + "learning_rate": 8.767123287671233e-06, + "loss": 0.9825, + "step": 896 + }, + { + "epoch": 0.03, + "learning_rate": 8.776908023483368e-06, + "loss": 0.8892, + "step": 897 + }, + { + "epoch": 0.03, + "learning_rate": 8.786692759295499e-06, + "loss": 0.7244, + "step": 898 + }, + { + "epoch": 0.03, + "learning_rate": 8.796477495107632e-06, + "loss": 1.0232, + "step": 899 + }, + { + "epoch": 0.03, + "learning_rate": 8.806262230919765e-06, + "loss": 0.9992, + "step": 900 + }, + { + "epoch": 0.03, + "learning_rate": 8.816046966731899e-06, + "loss": 1.2312, + "step": 901 + }, + { + "epoch": 0.03, + "learning_rate": 8.825831702544032e-06, + "loss": 0.8396, + "step": 902 + }, + { + "epoch": 0.03, + "learning_rate": 8.835616438356165e-06, + "loss": 0.8313, + "step": 903 + }, + { + "epoch": 0.03, + "learning_rate": 8.845401174168298e-06, + "loss": 0.7363, + "step": 904 + }, + { + "epoch": 0.03, + "learning_rate": 8.855185909980431e-06, + "loss": 1.0275, + "step": 905 + }, + { + "epoch": 0.03, + "learning_rate": 8.864970645792564e-06, + "loss": 0.9429, + "step": 906 + }, + { + "epoch": 0.03, + "learning_rate": 8.874755381604698e-06, + "loss": 1.0067, + "step": 907 + }, + { + "epoch": 0.03, + "learning_rate": 8.88454011741683e-06, + "loss": 0.7723, + "step": 908 + }, + { + "epoch": 0.03, + "learning_rate": 8.894324853228964e-06, + "loss": 0.8526, + "step": 909 + }, + { + "epoch": 0.03, + "learning_rate": 8.904109589041097e-06, + "loss": 1.0568, + "step": 910 + }, + { + "epoch": 0.03, + "learning_rate": 8.913894324853229e-06, + "loss": 0.7705, + "step": 911 + }, + { + "epoch": 0.03, + "learning_rate": 8.923679060665362e-06, + "loss": 0.9804, + "step": 912 + }, + { + "epoch": 0.03, + "learning_rate": 8.933463796477497e-06, + "loss": 0.9315, + "step": 913 + }, + { + "epoch": 0.03, + "learning_rate": 8.943248532289628e-06, + "loss": 0.9126, + "step": 914 + }, + { + "epoch": 0.03, + "learning_rate": 8.953033268101761e-06, + "loss": 0.9229, + "step": 915 + }, + { + "epoch": 0.03, + "learning_rate": 8.962818003913895e-06, + "loss": 0.8879, + "step": 916 + }, + { + "epoch": 0.03, + "learning_rate": 8.972602739726028e-06, + "loss": 0.9263, + "step": 917 + }, + { + "epoch": 0.03, + "learning_rate": 8.982387475538161e-06, + "loss": 0.9311, + "step": 918 + }, + { + "epoch": 0.03, + "learning_rate": 8.992172211350294e-06, + "loss": 0.6699, + "step": 919 + }, + { + "epoch": 0.03, + "learning_rate": 9.001956947162427e-06, + "loss": 0.8075, + "step": 920 + }, + { + "epoch": 0.03, + "learning_rate": 9.01174168297456e-06, + "loss": 0.813, + "step": 921 + }, + { + "epoch": 0.03, + "learning_rate": 9.021526418786694e-06, + "loss": 0.9381, + "step": 922 + }, + { + "epoch": 0.03, + "learning_rate": 9.031311154598827e-06, + "loss": 0.6049, + "step": 923 + }, + { + "epoch": 0.03, + "learning_rate": 9.04109589041096e-06, + "loss": 1.0782, + "step": 924 + }, + { + "epoch": 0.03, + "learning_rate": 9.050880626223093e-06, + "loss": 1.0493, + "step": 925 + }, + { + "epoch": 0.03, + "learning_rate": 9.060665362035226e-06, + "loss": 0.9554, + "step": 926 + }, + { + "epoch": 0.03, + "learning_rate": 9.07045009784736e-06, + "loss": 0.7537, + "step": 927 + }, + { + "epoch": 0.03, + "learning_rate": 9.080234833659491e-06, + "loss": 0.5708, + "step": 928 + }, + { + "epoch": 0.03, + "learning_rate": 9.090019569471626e-06, + "loss": 1.0369, + "step": 929 + }, + { + "epoch": 0.03, + "learning_rate": 9.099804305283759e-06, + "loss": 0.7831, + "step": 930 + }, + { + "epoch": 0.03, + "learning_rate": 9.10958904109589e-06, + "loss": 0.9505, + "step": 931 + }, + { + "epoch": 0.03, + "learning_rate": 9.119373776908024e-06, + "loss": 1.0739, + "step": 932 + }, + { + "epoch": 0.03, + "learning_rate": 9.129158512720158e-06, + "loss": 0.88, + "step": 933 + }, + { + "epoch": 0.03, + "learning_rate": 9.13894324853229e-06, + "loss": 0.988, + "step": 934 + }, + { + "epoch": 0.03, + "learning_rate": 9.148727984344423e-06, + "loss": 0.8542, + "step": 935 + }, + { + "epoch": 0.03, + "learning_rate": 9.158512720156556e-06, + "loss": 0.9969, + "step": 936 + }, + { + "epoch": 0.03, + "learning_rate": 9.16829745596869e-06, + "loss": 0.9032, + "step": 937 + }, + { + "epoch": 0.03, + "learning_rate": 9.178082191780823e-06, + "loss": 0.6222, + "step": 938 + }, + { + "epoch": 0.03, + "learning_rate": 9.187866927592956e-06, + "loss": 0.8871, + "step": 939 + }, + { + "epoch": 0.03, + "learning_rate": 9.197651663405089e-06, + "loss": 0.7377, + "step": 940 + }, + { + "epoch": 0.03, + "learning_rate": 9.207436399217222e-06, + "loss": 0.7753, + "step": 941 + }, + { + "epoch": 0.03, + "learning_rate": 9.217221135029355e-06, + "loss": 0.7255, + "step": 942 + }, + { + "epoch": 0.03, + "learning_rate": 9.227005870841489e-06, + "loss": 0.8911, + "step": 943 + }, + { + "epoch": 0.03, + "learning_rate": 9.23679060665362e-06, + "loss": 0.7719, + "step": 944 + }, + { + "epoch": 0.03, + "learning_rate": 9.246575342465755e-06, + "loss": 0.8781, + "step": 945 + }, + { + "epoch": 0.03, + "learning_rate": 9.256360078277888e-06, + "loss": 0.8475, + "step": 946 + }, + { + "epoch": 0.03, + "learning_rate": 9.26614481409002e-06, + "loss": 0.9664, + "step": 947 + }, + { + "epoch": 0.03, + "learning_rate": 9.275929549902153e-06, + "loss": 0.8434, + "step": 948 + }, + { + "epoch": 0.03, + "learning_rate": 9.285714285714288e-06, + "loss": 0.8438, + "step": 949 + }, + { + "epoch": 0.03, + "learning_rate": 9.295499021526419e-06, + "loss": 0.6003, + "step": 950 + }, + { + "epoch": 0.03, + "learning_rate": 9.305283757338552e-06, + "loss": 0.6508, + "step": 951 + }, + { + "epoch": 0.03, + "learning_rate": 9.315068493150685e-06, + "loss": 0.9574, + "step": 952 + }, + { + "epoch": 0.03, + "learning_rate": 9.324853228962819e-06, + "loss": 0.6737, + "step": 953 + }, + { + "epoch": 0.03, + "learning_rate": 9.334637964774952e-06, + "loss": 0.7698, + "step": 954 + }, + { + "epoch": 0.03, + "learning_rate": 9.344422700587085e-06, + "loss": 1.0562, + "step": 955 + }, + { + "epoch": 0.03, + "learning_rate": 9.354207436399218e-06, + "loss": 0.7502, + "step": 956 + }, + { + "epoch": 0.03, + "learning_rate": 9.363992172211351e-06, + "loss": 0.8352, + "step": 957 + }, + { + "epoch": 0.03, + "learning_rate": 9.373776908023484e-06, + "loss": 1.1745, + "step": 958 + }, + { + "epoch": 0.03, + "learning_rate": 9.383561643835618e-06, + "loss": 1.1724, + "step": 959 + }, + { + "epoch": 0.03, + "learning_rate": 9.393346379647749e-06, + "loss": 0.9063, + "step": 960 + }, + { + "epoch": 0.03, + "learning_rate": 9.403131115459884e-06, + "loss": 0.9025, + "step": 961 + }, + { + "epoch": 0.03, + "learning_rate": 9.412915851272017e-06, + "loss": 0.7286, + "step": 962 + }, + { + "epoch": 0.03, + "learning_rate": 9.422700587084149e-06, + "loss": 0.7521, + "step": 963 + }, + { + "epoch": 0.03, + "learning_rate": 9.432485322896282e-06, + "loss": 0.9754, + "step": 964 + }, + { + "epoch": 0.03, + "learning_rate": 9.442270058708417e-06, + "loss": 0.9891, + "step": 965 + }, + { + "epoch": 0.03, + "learning_rate": 9.452054794520548e-06, + "loss": 0.9065, + "step": 966 + }, + { + "epoch": 0.03, + "learning_rate": 9.461839530332681e-06, + "loss": 0.7152, + "step": 967 + }, + { + "epoch": 0.03, + "learning_rate": 9.471624266144814e-06, + "loss": 0.7679, + "step": 968 + }, + { + "epoch": 0.03, + "learning_rate": 9.481409001956948e-06, + "loss": 0.787, + "step": 969 + }, + { + "epoch": 0.03, + "learning_rate": 9.49119373776908e-06, + "loss": 1.005, + "step": 970 + }, + { + "epoch": 0.03, + "learning_rate": 9.500978473581214e-06, + "loss": 0.8823, + "step": 971 + }, + { + "epoch": 0.03, + "learning_rate": 9.510763209393347e-06, + "loss": 1.008, + "step": 972 + }, + { + "epoch": 0.03, + "learning_rate": 9.52054794520548e-06, + "loss": 0.702, + "step": 973 + }, + { + "epoch": 0.03, + "learning_rate": 9.530332681017614e-06, + "loss": 0.8774, + "step": 974 + }, + { + "epoch": 0.03, + "learning_rate": 9.540117416829747e-06, + "loss": 0.9692, + "step": 975 + }, + { + "epoch": 0.03, + "learning_rate": 9.549902152641878e-06, + "loss": 1.1974, + "step": 976 + }, + { + "epoch": 0.03, + "learning_rate": 9.559686888454013e-06, + "loss": 0.7888, + "step": 977 + }, + { + "epoch": 0.03, + "learning_rate": 9.569471624266146e-06, + "loss": 0.7858, + "step": 978 + }, + { + "epoch": 0.03, + "learning_rate": 9.579256360078278e-06, + "loss": 1.0195, + "step": 979 + }, + { + "epoch": 0.03, + "learning_rate": 9.589041095890411e-06, + "loss": 0.8871, + "step": 980 + }, + { + "epoch": 0.03, + "learning_rate": 9.598825831702546e-06, + "loss": 0.9492, + "step": 981 + }, + { + "epoch": 0.03, + "learning_rate": 9.608610567514677e-06, + "loss": 1.176, + "step": 982 + }, + { + "epoch": 0.03, + "learning_rate": 9.61839530332681e-06, + "loss": 0.889, + "step": 983 + }, + { + "epoch": 0.03, + "learning_rate": 9.628180039138944e-06, + "loss": 0.9391, + "step": 984 + }, + { + "epoch": 0.03, + "learning_rate": 9.637964774951077e-06, + "loss": 0.7777, + "step": 985 + }, + { + "epoch": 0.03, + "learning_rate": 9.64774951076321e-06, + "loss": 1.0276, + "step": 986 + }, + { + "epoch": 0.03, + "learning_rate": 9.657534246575343e-06, + "loss": 0.8483, + "step": 987 + }, + { + "epoch": 0.03, + "learning_rate": 9.667318982387476e-06, + "loss": 0.8196, + "step": 988 + }, + { + "epoch": 0.03, + "learning_rate": 9.67710371819961e-06, + "loss": 0.7357, + "step": 989 + }, + { + "epoch": 0.03, + "learning_rate": 9.686888454011743e-06, + "loss": 0.9477, + "step": 990 + }, + { + "epoch": 0.03, + "learning_rate": 9.696673189823876e-06, + "loss": 0.6364, + "step": 991 + }, + { + "epoch": 0.03, + "learning_rate": 9.706457925636007e-06, + "loss": 0.7711, + "step": 992 + }, + { + "epoch": 0.03, + "learning_rate": 9.716242661448142e-06, + "loss": 0.7626, + "step": 993 + }, + { + "epoch": 0.03, + "learning_rate": 9.726027397260275e-06, + "loss": 0.7319, + "step": 994 + }, + { + "epoch": 0.03, + "learning_rate": 9.735812133072407e-06, + "loss": 0.9791, + "step": 995 + }, + { + "epoch": 0.03, + "learning_rate": 9.74559686888454e-06, + "loss": 1.0311, + "step": 996 + }, + { + "epoch": 0.03, + "learning_rate": 9.755381604696675e-06, + "loss": 0.9302, + "step": 997 + }, + { + "epoch": 0.03, + "learning_rate": 9.765166340508806e-06, + "loss": 0.7567, + "step": 998 + }, + { + "epoch": 0.03, + "learning_rate": 9.77495107632094e-06, + "loss": 0.613, + "step": 999 + }, + { + "epoch": 0.03, + "learning_rate": 9.784735812133073e-06, + "loss": 0.6649, + "step": 1000 + }, + { + "epoch": 0.03, + "learning_rate": 9.794520547945206e-06, + "loss": 0.6919, + "step": 1001 + }, + { + "epoch": 0.03, + "learning_rate": 9.804305283757339e-06, + "loss": 0.7782, + "step": 1002 + }, + { + "epoch": 0.03, + "learning_rate": 9.814090019569472e-06, + "loss": 0.7961, + "step": 1003 + }, + { + "epoch": 0.03, + "learning_rate": 9.823874755381605e-06, + "loss": 0.8337, + "step": 1004 + }, + { + "epoch": 0.03, + "learning_rate": 9.833659491193739e-06, + "loss": 1.0591, + "step": 1005 + }, + { + "epoch": 0.03, + "learning_rate": 9.843444227005872e-06, + "loss": 1.2474, + "step": 1006 + }, + { + "epoch": 0.03, + "learning_rate": 9.853228962818005e-06, + "loss": 0.5878, + "step": 1007 + }, + { + "epoch": 0.03, + "learning_rate": 9.863013698630138e-06, + "loss": 0.9216, + "step": 1008 + }, + { + "epoch": 0.03, + "learning_rate": 9.872798434442271e-06, + "loss": 0.6952, + "step": 1009 + }, + { + "epoch": 0.03, + "learning_rate": 9.882583170254404e-06, + "loss": 0.8846, + "step": 1010 + }, + { + "epoch": 0.03, + "learning_rate": 9.892367906066536e-06, + "loss": 1.0278, + "step": 1011 + }, + { + "epoch": 0.03, + "learning_rate": 9.902152641878669e-06, + "loss": 0.8628, + "step": 1012 + }, + { + "epoch": 0.03, + "learning_rate": 9.911937377690804e-06, + "loss": 0.8802, + "step": 1013 + }, + { + "epoch": 0.03, + "learning_rate": 9.921722113502935e-06, + "loss": 1.1219, + "step": 1014 + }, + { + "epoch": 0.03, + "learning_rate": 9.931506849315069e-06, + "loss": 0.9905, + "step": 1015 + }, + { + "epoch": 0.03, + "learning_rate": 9.941291585127202e-06, + "loss": 0.9314, + "step": 1016 + }, + { + "epoch": 0.03, + "learning_rate": 9.951076320939335e-06, + "loss": 1.0595, + "step": 1017 + }, + { + "epoch": 0.03, + "learning_rate": 9.960861056751468e-06, + "loss": 0.8913, + "step": 1018 + }, + { + "epoch": 0.03, + "learning_rate": 9.970645792563601e-06, + "loss": 0.8351, + "step": 1019 + }, + { + "epoch": 0.03, + "learning_rate": 9.980430528375734e-06, + "loss": 0.8941, + "step": 1020 + }, + { + "epoch": 0.03, + "learning_rate": 9.990215264187868e-06, + "loss": 0.8227, + "step": 1021 + }, + { + "epoch": 0.03, + "learning_rate": 1e-05, + "loss": 0.7737, + "step": 1022 + }, + { + "epoch": 0.03, + "learning_rate": 9.999999977364462e-06, + "loss": 0.7156, + "step": 1023 + }, + { + "epoch": 0.03, + "learning_rate": 9.999999909457845e-06, + "loss": 0.9857, + "step": 1024 + }, + { + "epoch": 0.03, + "learning_rate": 9.99999979628015e-06, + "loss": 0.7823, + "step": 1025 + }, + { + "epoch": 0.03, + "learning_rate": 9.99999963783138e-06, + "loss": 0.8121, + "step": 1026 + }, + { + "epoch": 0.03, + "learning_rate": 9.999999434111534e-06, + "loss": 1.0944, + "step": 1027 + }, + { + "epoch": 0.03, + "learning_rate": 9.999999185120614e-06, + "loss": 0.8618, + "step": 1028 + }, + { + "epoch": 0.03, + "learning_rate": 9.999998890858627e-06, + "loss": 0.7925, + "step": 1029 + }, + { + "epoch": 0.03, + "learning_rate": 9.999998551325568e-06, + "loss": 0.7864, + "step": 1030 + }, + { + "epoch": 0.03, + "learning_rate": 9.999998166521445e-06, + "loss": 0.7267, + "step": 1031 + }, + { + "epoch": 0.03, + "learning_rate": 9.999997736446261e-06, + "loss": 0.7965, + "step": 1032 + }, + { + "epoch": 0.03, + "learning_rate": 9.999997261100021e-06, + "loss": 0.9097, + "step": 1033 + }, + { + "epoch": 0.03, + "learning_rate": 9.999996740482725e-06, + "loss": 0.9954, + "step": 1034 + }, + { + "epoch": 0.03, + "learning_rate": 9.999996174594382e-06, + "loss": 0.8346, + "step": 1035 + }, + { + "epoch": 0.03, + "learning_rate": 9.999995563434994e-06, + "loss": 1.0389, + "step": 1036 + }, + { + "epoch": 0.03, + "learning_rate": 9.999994907004568e-06, + "loss": 0.6845, + "step": 1037 + }, + { + "epoch": 0.03, + "learning_rate": 9.99999420530311e-06, + "loss": 0.7758, + "step": 1038 + }, + { + "epoch": 0.03, + "learning_rate": 9.999993458330627e-06, + "loss": 0.9235, + "step": 1039 + }, + { + "epoch": 0.03, + "learning_rate": 9.999992666087125e-06, + "loss": 0.8084, + "step": 1040 + }, + { + "epoch": 0.03, + "learning_rate": 9.999991828572612e-06, + "loss": 0.7723, + "step": 1041 + }, + { + "epoch": 0.03, + "learning_rate": 9.999990945787094e-06, + "loss": 1.0079, + "step": 1042 + }, + { + "epoch": 0.03, + "learning_rate": 9.99999001773058e-06, + "loss": 0.8872, + "step": 1043 + }, + { + "epoch": 0.03, + "learning_rate": 9.999989044403077e-06, + "loss": 1.2476, + "step": 1044 + }, + { + "epoch": 0.03, + "learning_rate": 9.999988025804597e-06, + "loss": 0.8781, + "step": 1045 + }, + { + "epoch": 0.03, + "learning_rate": 9.999986961935146e-06, + "loss": 0.9341, + "step": 1046 + }, + { + "epoch": 0.03, + "learning_rate": 9.999985852794736e-06, + "loss": 0.9434, + "step": 1047 + }, + { + "epoch": 0.03, + "learning_rate": 9.999984698383375e-06, + "loss": 1.0767, + "step": 1048 + }, + { + "epoch": 0.03, + "learning_rate": 9.999983498701074e-06, + "loss": 0.7942, + "step": 1049 + }, + { + "epoch": 0.03, + "learning_rate": 9.999982253747844e-06, + "loss": 0.8499, + "step": 1050 + }, + { + "epoch": 0.03, + "learning_rate": 9.999980963523699e-06, + "loss": 0.7757, + "step": 1051 + }, + { + "epoch": 0.03, + "learning_rate": 9.999979628028647e-06, + "loss": 0.8986, + "step": 1052 + }, + { + "epoch": 0.03, + "learning_rate": 9.9999782472627e-06, + "loss": 1.0714, + "step": 1053 + }, + { + "epoch": 0.03, + "learning_rate": 9.999976821225871e-06, + "loss": 0.856, + "step": 1054 + }, + { + "epoch": 0.03, + "learning_rate": 9.999975349918176e-06, + "loss": 0.9465, + "step": 1055 + }, + { + "epoch": 0.03, + "learning_rate": 9.999973833339625e-06, + "loss": 0.8898, + "step": 1056 + }, + { + "epoch": 0.03, + "learning_rate": 9.999972271490234e-06, + "loss": 0.9424, + "step": 1057 + }, + { + "epoch": 0.03, + "learning_rate": 9.999970664370015e-06, + "loss": 0.9468, + "step": 1058 + }, + { + "epoch": 0.03, + "learning_rate": 9.999969011978983e-06, + "loss": 0.8694, + "step": 1059 + }, + { + "epoch": 0.03, + "learning_rate": 9.999967314317154e-06, + "loss": 0.5621, + "step": 1060 + }, + { + "epoch": 0.03, + "learning_rate": 9.999965571384542e-06, + "loss": 0.8506, + "step": 1061 + }, + { + "epoch": 0.03, + "learning_rate": 9.999963783181166e-06, + "loss": 0.878, + "step": 1062 + }, + { + "epoch": 0.03, + "learning_rate": 9.999961949707036e-06, + "loss": 0.6154, + "step": 1063 + }, + { + "epoch": 0.03, + "learning_rate": 9.999960070962175e-06, + "loss": 0.7336, + "step": 1064 + }, + { + "epoch": 0.03, + "learning_rate": 9.999958146946595e-06, + "loss": 1.0627, + "step": 1065 + }, + { + "epoch": 0.03, + "learning_rate": 9.99995617766032e-06, + "loss": 1.2713, + "step": 1066 + }, + { + "epoch": 0.03, + "learning_rate": 9.99995416310336e-06, + "loss": 0.9146, + "step": 1067 + }, + { + "epoch": 0.03, + "learning_rate": 9.999952103275737e-06, + "loss": 0.8921, + "step": 1068 + }, + { + "epoch": 0.03, + "learning_rate": 9.999949998177472e-06, + "loss": 0.8346, + "step": 1069 + }, + { + "epoch": 0.03, + "learning_rate": 9.99994784780858e-06, + "loss": 1.0033, + "step": 1070 + }, + { + "epoch": 0.03, + "learning_rate": 9.999945652169081e-06, + "loss": 0.7565, + "step": 1071 + }, + { + "epoch": 0.03, + "learning_rate": 9.999943411258997e-06, + "loss": 0.712, + "step": 1072 + }, + { + "epoch": 0.03, + "learning_rate": 9.999941125078348e-06, + "loss": 0.8824, + "step": 1073 + }, + { + "epoch": 0.03, + "learning_rate": 9.999938793627152e-06, + "loss": 0.9692, + "step": 1074 + }, + { + "epoch": 0.03, + "learning_rate": 9.999936416905433e-06, + "loss": 0.7571, + "step": 1075 + }, + { + "epoch": 0.03, + "learning_rate": 9.999933994913212e-06, + "loss": 0.6705, + "step": 1076 + }, + { + "epoch": 0.03, + "learning_rate": 9.99993152765051e-06, + "loss": 1.1365, + "step": 1077 + }, + { + "epoch": 0.03, + "learning_rate": 9.99992901511735e-06, + "loss": 0.7577, + "step": 1078 + }, + { + "epoch": 0.03, + "learning_rate": 9.999926457313754e-06, + "loss": 0.9821, + "step": 1079 + }, + { + "epoch": 0.03, + "learning_rate": 9.999923854239746e-06, + "loss": 1.1053, + "step": 1080 + }, + { + "epoch": 0.03, + "learning_rate": 9.999921205895349e-06, + "loss": 1.0933, + "step": 1081 + }, + { + "epoch": 0.03, + "learning_rate": 9.999918512280586e-06, + "loss": 0.7662, + "step": 1082 + }, + { + "epoch": 0.03, + "learning_rate": 9.999915773395486e-06, + "loss": 0.9196, + "step": 1083 + }, + { + "epoch": 0.03, + "learning_rate": 9.999912989240069e-06, + "loss": 0.9078, + "step": 1084 + }, + { + "epoch": 0.03, + "learning_rate": 9.999910159814361e-06, + "loss": 0.8656, + "step": 1085 + }, + { + "epoch": 0.03, + "learning_rate": 9.999907285118388e-06, + "loss": 0.6856, + "step": 1086 + }, + { + "epoch": 0.03, + "learning_rate": 9.999904365152178e-06, + "loss": 1.0558, + "step": 1087 + }, + { + "epoch": 0.03, + "learning_rate": 9.999901399915754e-06, + "loss": 0.9665, + "step": 1088 + }, + { + "epoch": 0.03, + "learning_rate": 9.999898389409144e-06, + "loss": 0.8882, + "step": 1089 + }, + { + "epoch": 0.03, + "learning_rate": 9.999895333632378e-06, + "loss": 0.9088, + "step": 1090 + }, + { + "epoch": 0.03, + "learning_rate": 9.99989223258548e-06, + "loss": 0.8706, + "step": 1091 + }, + { + "epoch": 0.03, + "learning_rate": 9.99988908626848e-06, + "loss": 0.9616, + "step": 1092 + }, + { + "epoch": 0.03, + "learning_rate": 9.999885894681406e-06, + "loss": 0.887, + "step": 1093 + }, + { + "epoch": 0.03, + "learning_rate": 9.999882657824287e-06, + "loss": 1.2503, + "step": 1094 + }, + { + "epoch": 0.03, + "learning_rate": 9.999879375697152e-06, + "loss": 0.9687, + "step": 1095 + }, + { + "epoch": 0.03, + "learning_rate": 9.999876048300033e-06, + "loss": 0.8842, + "step": 1096 + }, + { + "epoch": 0.03, + "learning_rate": 9.999872675632956e-06, + "loss": 0.6926, + "step": 1097 + }, + { + "epoch": 0.03, + "learning_rate": 9.999869257695955e-06, + "loss": 0.7844, + "step": 1098 + }, + { + "epoch": 0.03, + "learning_rate": 9.999865794489059e-06, + "loss": 0.8679, + "step": 1099 + }, + { + "epoch": 0.03, + "learning_rate": 9.9998622860123e-06, + "loss": 1.0132, + "step": 1100 + }, + { + "epoch": 0.03, + "learning_rate": 9.999858732265708e-06, + "loss": 1.0277, + "step": 1101 + }, + { + "epoch": 0.03, + "learning_rate": 9.999855133249319e-06, + "loss": 0.7274, + "step": 1102 + }, + { + "epoch": 0.03, + "learning_rate": 9.999851488963162e-06, + "loss": 0.8664, + "step": 1103 + }, + { + "epoch": 0.03, + "learning_rate": 9.999847799407274e-06, + "loss": 1.0229, + "step": 1104 + }, + { + "epoch": 0.03, + "learning_rate": 9.999844064581682e-06, + "loss": 0.6738, + "step": 1105 + }, + { + "epoch": 0.03, + "learning_rate": 9.999840284486427e-06, + "loss": 0.646, + "step": 1106 + }, + { + "epoch": 0.03, + "learning_rate": 9.99983645912154e-06, + "loss": 0.6285, + "step": 1107 + }, + { + "epoch": 0.03, + "learning_rate": 9.999832588487055e-06, + "loss": 0.7867, + "step": 1108 + }, + { + "epoch": 0.03, + "learning_rate": 9.999828672583007e-06, + "loss": 1.0411, + "step": 1109 + }, + { + "epoch": 0.03, + "learning_rate": 9.999824711409431e-06, + "loss": 0.8941, + "step": 1110 + }, + { + "epoch": 0.03, + "learning_rate": 9.999820704966366e-06, + "loss": 0.7387, + "step": 1111 + }, + { + "epoch": 0.03, + "learning_rate": 9.999816653253844e-06, + "loss": 0.767, + "step": 1112 + }, + { + "epoch": 0.03, + "learning_rate": 9.999812556271907e-06, + "loss": 1.0049, + "step": 1113 + }, + { + "epoch": 0.03, + "learning_rate": 9.999808414020586e-06, + "loss": 1.0836, + "step": 1114 + }, + { + "epoch": 0.03, + "learning_rate": 9.999804226499923e-06, + "loss": 0.7548, + "step": 1115 + }, + { + "epoch": 0.03, + "learning_rate": 9.999799993709954e-06, + "loss": 0.8253, + "step": 1116 + }, + { + "epoch": 0.03, + "learning_rate": 9.999795715650717e-06, + "loss": 0.8721, + "step": 1117 + }, + { + "epoch": 0.03, + "learning_rate": 9.999791392322253e-06, + "loss": 0.9449, + "step": 1118 + }, + { + "epoch": 0.03, + "learning_rate": 9.999787023724598e-06, + "loss": 0.8982, + "step": 1119 + }, + { + "epoch": 0.03, + "learning_rate": 9.999782609857796e-06, + "loss": 0.8443, + "step": 1120 + }, + { + "epoch": 0.03, + "learning_rate": 9.999778150721881e-06, + "loss": 1.0601, + "step": 1121 + }, + { + "epoch": 0.03, + "learning_rate": 9.999773646316898e-06, + "loss": 0.6096, + "step": 1122 + }, + { + "epoch": 0.03, + "learning_rate": 9.999769096642885e-06, + "loss": 0.9491, + "step": 1123 + }, + { + "epoch": 0.03, + "learning_rate": 9.999764501699887e-06, + "loss": 0.7599, + "step": 1124 + }, + { + "epoch": 0.03, + "learning_rate": 9.99975986148794e-06, + "loss": 1.0535, + "step": 1125 + }, + { + "epoch": 0.03, + "learning_rate": 9.999755176007093e-06, + "loss": 0.9469, + "step": 1126 + }, + { + "epoch": 0.03, + "learning_rate": 9.999750445257382e-06, + "loss": 0.8806, + "step": 1127 + }, + { + "epoch": 0.03, + "learning_rate": 9.999745669238851e-06, + "loss": 1.0033, + "step": 1128 + }, + { + "epoch": 0.03, + "learning_rate": 9.999740847951547e-06, + "loss": 0.9678, + "step": 1129 + }, + { + "epoch": 0.03, + "learning_rate": 9.999735981395511e-06, + "loss": 0.7168, + "step": 1130 + }, + { + "epoch": 0.03, + "learning_rate": 9.999731069570787e-06, + "loss": 0.684, + "step": 1131 + }, + { + "epoch": 0.03, + "learning_rate": 9.99972611247742e-06, + "loss": 0.9411, + "step": 1132 + }, + { + "epoch": 0.03, + "learning_rate": 9.999721110115453e-06, + "loss": 0.8138, + "step": 1133 + }, + { + "epoch": 0.03, + "learning_rate": 9.999716062484935e-06, + "loss": 1.0291, + "step": 1134 + }, + { + "epoch": 0.03, + "learning_rate": 9.99971096958591e-06, + "loss": 1.0193, + "step": 1135 + }, + { + "epoch": 0.03, + "learning_rate": 9.999705831418422e-06, + "loss": 0.7663, + "step": 1136 + }, + { + "epoch": 0.03, + "learning_rate": 9.99970064798252e-06, + "loss": 0.6511, + "step": 1137 + }, + { + "epoch": 0.03, + "learning_rate": 9.999695419278251e-06, + "loss": 0.8577, + "step": 1138 + }, + { + "epoch": 0.03, + "learning_rate": 9.999690145305659e-06, + "loss": 0.9176, + "step": 1139 + }, + { + "epoch": 0.03, + "learning_rate": 9.999684826064797e-06, + "loss": 0.9042, + "step": 1140 + }, + { + "epoch": 0.03, + "learning_rate": 9.99967946155571e-06, + "loss": 0.7844, + "step": 1141 + }, + { + "epoch": 0.03, + "learning_rate": 9.999674051778445e-06, + "loss": 0.898, + "step": 1142 + }, + { + "epoch": 0.03, + "learning_rate": 9.999668596733056e-06, + "loss": 0.7809, + "step": 1143 + }, + { + "epoch": 0.03, + "learning_rate": 9.999663096419587e-06, + "loss": 1.029, + "step": 1144 + }, + { + "epoch": 0.03, + "learning_rate": 9.999657550838091e-06, + "loss": 0.9976, + "step": 1145 + }, + { + "epoch": 0.03, + "learning_rate": 9.999651959988619e-06, + "loss": 0.8898, + "step": 1146 + }, + { + "epoch": 0.03, + "learning_rate": 9.999646323871219e-06, + "loss": 0.8733, + "step": 1147 + }, + { + "epoch": 0.03, + "learning_rate": 9.999640642485943e-06, + "loss": 0.8031, + "step": 1148 + }, + { + "epoch": 0.03, + "learning_rate": 9.999634915832842e-06, + "loss": 0.7937, + "step": 1149 + }, + { + "epoch": 0.03, + "learning_rate": 9.99962914391197e-06, + "loss": 0.7063, + "step": 1150 + }, + { + "epoch": 0.03, + "learning_rate": 9.999623326723376e-06, + "loss": 0.5895, + "step": 1151 + }, + { + "epoch": 0.03, + "learning_rate": 9.999617464267115e-06, + "loss": 0.8055, + "step": 1152 + }, + { + "epoch": 0.03, + "learning_rate": 9.999611556543239e-06, + "loss": 0.6691, + "step": 1153 + }, + { + "epoch": 0.03, + "learning_rate": 9.999605603551802e-06, + "loss": 0.7666, + "step": 1154 + }, + { + "epoch": 0.03, + "learning_rate": 9.999599605292858e-06, + "loss": 0.7304, + "step": 1155 + }, + { + "epoch": 0.03, + "learning_rate": 9.999593561766461e-06, + "loss": 0.6609, + "step": 1156 + }, + { + "epoch": 0.03, + "learning_rate": 9.999587472972667e-06, + "loss": 1.1541, + "step": 1157 + }, + { + "epoch": 0.03, + "learning_rate": 9.999581338911528e-06, + "loss": 0.8521, + "step": 1158 + }, + { + "epoch": 0.03, + "learning_rate": 9.999575159583101e-06, + "loss": 0.8312, + "step": 1159 + }, + { + "epoch": 0.03, + "learning_rate": 9.999568934987445e-06, + "loss": 0.7849, + "step": 1160 + }, + { + "epoch": 0.03, + "learning_rate": 9.999562665124612e-06, + "loss": 0.5154, + "step": 1161 + }, + { + "epoch": 0.03, + "learning_rate": 9.99955634999466e-06, + "loss": 0.8799, + "step": 1162 + }, + { + "epoch": 0.03, + "learning_rate": 9.99954998959765e-06, + "loss": 0.789, + "step": 1163 + }, + { + "epoch": 0.03, + "learning_rate": 9.999543583933634e-06, + "loss": 1.0674, + "step": 1164 + }, + { + "epoch": 0.03, + "learning_rate": 9.999537133002671e-06, + "loss": 0.8185, + "step": 1165 + }, + { + "epoch": 0.03, + "learning_rate": 9.999530636804823e-06, + "loss": 0.8529, + "step": 1166 + }, + { + "epoch": 0.03, + "learning_rate": 9.999524095340145e-06, + "loss": 0.7398, + "step": 1167 + }, + { + "epoch": 0.03, + "learning_rate": 9.9995175086087e-06, + "loss": 0.5632, + "step": 1168 + }, + { + "epoch": 0.03, + "learning_rate": 9.999510876610544e-06, + "loss": 0.939, + "step": 1169 + }, + { + "epoch": 0.03, + "learning_rate": 9.999504199345737e-06, + "loss": 0.6634, + "step": 1170 + }, + { + "epoch": 0.03, + "learning_rate": 9.999497476814343e-06, + "loss": 0.5626, + "step": 1171 + }, + { + "epoch": 0.03, + "learning_rate": 9.999490709016419e-06, + "loss": 0.7966, + "step": 1172 + }, + { + "epoch": 0.03, + "learning_rate": 9.99948389595203e-06, + "loss": 0.9353, + "step": 1173 + }, + { + "epoch": 0.03, + "learning_rate": 9.999477037621234e-06, + "loss": 0.7185, + "step": 1174 + }, + { + "epoch": 0.03, + "learning_rate": 9.999470134024096e-06, + "loss": 1.3001, + "step": 1175 + }, + { + "epoch": 0.03, + "learning_rate": 9.999463185160679e-06, + "loss": 1.0965, + "step": 1176 + }, + { + "epoch": 0.03, + "learning_rate": 9.99945619103104e-06, + "loss": 0.6644, + "step": 1177 + }, + { + "epoch": 0.03, + "learning_rate": 9.99944915163525e-06, + "loss": 0.6809, + "step": 1178 + }, + { + "epoch": 0.03, + "learning_rate": 9.999442066973368e-06, + "loss": 0.6875, + "step": 1179 + }, + { + "epoch": 0.03, + "learning_rate": 9.99943493704546e-06, + "loss": 0.9329, + "step": 1180 + }, + { + "epoch": 0.03, + "learning_rate": 9.99942776185159e-06, + "loss": 1.0468, + "step": 1181 + }, + { + "epoch": 0.03, + "learning_rate": 9.999420541391824e-06, + "loss": 0.7951, + "step": 1182 + }, + { + "epoch": 0.03, + "learning_rate": 9.999413275666226e-06, + "loss": 0.9223, + "step": 1183 + }, + { + "epoch": 0.03, + "learning_rate": 9.99940596467486e-06, + "loss": 0.7218, + "step": 1184 + }, + { + "epoch": 0.03, + "learning_rate": 9.999398608417797e-06, + "loss": 0.931, + "step": 1185 + }, + { + "epoch": 0.03, + "learning_rate": 9.999391206895099e-06, + "loss": 0.8723, + "step": 1186 + }, + { + "epoch": 0.03, + "learning_rate": 9.999383760106836e-06, + "loss": 0.9951, + "step": 1187 + }, + { + "epoch": 0.03, + "learning_rate": 9.999376268053074e-06, + "loss": 0.8563, + "step": 1188 + }, + { + "epoch": 0.03, + "learning_rate": 9.99936873073388e-06, + "loss": 0.8233, + "step": 1189 + }, + { + "epoch": 0.03, + "learning_rate": 9.999361148149326e-06, + "loss": 0.7896, + "step": 1190 + }, + { + "epoch": 0.03, + "learning_rate": 9.999353520299477e-06, + "loss": 0.9769, + "step": 1191 + }, + { + "epoch": 0.04, + "learning_rate": 9.999345847184403e-06, + "loss": 0.914, + "step": 1192 + }, + { + "epoch": 0.04, + "learning_rate": 9.999338128804173e-06, + "loss": 0.7241, + "step": 1193 + }, + { + "epoch": 0.04, + "learning_rate": 9.99933036515886e-06, + "loss": 1.1125, + "step": 1194 + }, + { + "epoch": 0.04, + "learning_rate": 9.99932255624853e-06, + "loss": 0.6171, + "step": 1195 + }, + { + "epoch": 0.04, + "learning_rate": 9.999314702073254e-06, + "loss": 0.5029, + "step": 1196 + }, + { + "epoch": 0.04, + "learning_rate": 9.999306802633109e-06, + "loss": 0.9143, + "step": 1197 + }, + { + "epoch": 0.04, + "learning_rate": 9.99929885792816e-06, + "loss": 0.8925, + "step": 1198 + }, + { + "epoch": 0.04, + "learning_rate": 9.99929086795848e-06, + "loss": 0.5914, + "step": 1199 + }, + { + "epoch": 0.04, + "learning_rate": 9.999282832724142e-06, + "loss": 0.6397, + "step": 1200 + }, + { + "epoch": 0.04, + "learning_rate": 9.99927475222522e-06, + "loss": 0.789, + "step": 1201 + }, + { + "epoch": 0.04, + "learning_rate": 9.999266626461788e-06, + "loss": 0.8038, + "step": 1202 + }, + { + "epoch": 0.04, + "learning_rate": 9.999258455433918e-06, + "loss": 0.753, + "step": 1203 + }, + { + "epoch": 0.04, + "learning_rate": 9.999250239141683e-06, + "loss": 0.8469, + "step": 1204 + }, + { + "epoch": 0.04, + "learning_rate": 9.999241977585157e-06, + "loss": 0.8148, + "step": 1205 + }, + { + "epoch": 0.04, + "learning_rate": 9.999233670764416e-06, + "loss": 0.8459, + "step": 1206 + }, + { + "epoch": 0.04, + "learning_rate": 9.999225318679537e-06, + "loss": 0.9447, + "step": 1207 + }, + { + "epoch": 0.04, + "learning_rate": 9.999216921330594e-06, + "loss": 0.9874, + "step": 1208 + }, + { + "epoch": 0.04, + "learning_rate": 9.999208478717664e-06, + "loss": 0.7433, + "step": 1209 + }, + { + "epoch": 0.04, + "learning_rate": 9.99919999084082e-06, + "loss": 1.1357, + "step": 1210 + }, + { + "epoch": 0.04, + "learning_rate": 9.999191457700143e-06, + "loss": 0.7204, + "step": 1211 + }, + { + "epoch": 0.04, + "learning_rate": 9.999182879295709e-06, + "loss": 0.9467, + "step": 1212 + }, + { + "epoch": 0.04, + "learning_rate": 9.999174255627592e-06, + "loss": 0.666, + "step": 1213 + }, + { + "epoch": 0.04, + "learning_rate": 9.999165586695875e-06, + "loss": 0.6924, + "step": 1214 + }, + { + "epoch": 0.04, + "learning_rate": 9.999156872500636e-06, + "loss": 0.7671, + "step": 1215 + }, + { + "epoch": 0.04, + "learning_rate": 9.999148113041953e-06, + "loss": 0.8195, + "step": 1216 + }, + { + "epoch": 0.04, + "learning_rate": 9.999139308319904e-06, + "loss": 1.0013, + "step": 1217 + }, + { + "epoch": 0.04, + "learning_rate": 9.99913045833457e-06, + "loss": 1.1022, + "step": 1218 + }, + { + "epoch": 0.04, + "learning_rate": 9.999121563086029e-06, + "loss": 0.6729, + "step": 1219 + }, + { + "epoch": 0.04, + "learning_rate": 9.999112622574365e-06, + "loss": 0.7615, + "step": 1220 + }, + { + "epoch": 0.04, + "learning_rate": 9.999103636799658e-06, + "loss": 0.9155, + "step": 1221 + }, + { + "epoch": 0.04, + "learning_rate": 9.999094605761988e-06, + "loss": 0.779, + "step": 1222 + }, + { + "epoch": 0.04, + "learning_rate": 9.999085529461436e-06, + "loss": 0.9424, + "step": 1223 + }, + { + "epoch": 0.04, + "learning_rate": 9.999076407898087e-06, + "loss": 1.0191, + "step": 1224 + }, + { + "epoch": 0.04, + "learning_rate": 9.999067241072023e-06, + "loss": 0.8814, + "step": 1225 + }, + { + "epoch": 0.04, + "learning_rate": 9.999058028983327e-06, + "loss": 0.8622, + "step": 1226 + }, + { + "epoch": 0.04, + "learning_rate": 9.999048771632078e-06, + "loss": 0.7977, + "step": 1227 + }, + { + "epoch": 0.04, + "learning_rate": 9.999039469018366e-06, + "loss": 0.6621, + "step": 1228 + }, + { + "epoch": 0.04, + "learning_rate": 9.999030121142272e-06, + "loss": 1.0773, + "step": 1229 + }, + { + "epoch": 0.04, + "learning_rate": 9.999020728003883e-06, + "loss": 0.9154, + "step": 1230 + }, + { + "epoch": 0.04, + "learning_rate": 9.99901128960328e-06, + "loss": 0.8691, + "step": 1231 + }, + { + "epoch": 0.04, + "learning_rate": 9.999001805940553e-06, + "loss": 0.6606, + "step": 1232 + }, + { + "epoch": 0.04, + "learning_rate": 9.998992277015785e-06, + "loss": 0.8165, + "step": 1233 + }, + { + "epoch": 0.04, + "learning_rate": 9.99898270282906e-06, + "loss": 1.1038, + "step": 1234 + }, + { + "epoch": 0.04, + "learning_rate": 9.998973083380471e-06, + "loss": 0.8167, + "step": 1235 + }, + { + "epoch": 0.04, + "learning_rate": 9.998963418670101e-06, + "loss": 1.0685, + "step": 1236 + }, + { + "epoch": 0.04, + "learning_rate": 9.998953708698039e-06, + "loss": 0.9238, + "step": 1237 + }, + { + "epoch": 0.04, + "learning_rate": 9.998943953464371e-06, + "loss": 1.0074, + "step": 1238 + }, + { + "epoch": 0.04, + "learning_rate": 9.998934152969186e-06, + "loss": 1.0678, + "step": 1239 + }, + { + "epoch": 0.04, + "learning_rate": 9.998924307212576e-06, + "loss": 0.7413, + "step": 1240 + }, + { + "epoch": 0.04, + "learning_rate": 9.998914416194624e-06, + "loss": 1.1041, + "step": 1241 + }, + { + "epoch": 0.04, + "learning_rate": 9.998904479915425e-06, + "loss": 0.784, + "step": 1242 + }, + { + "epoch": 0.04, + "learning_rate": 9.998894498375067e-06, + "loss": 0.7877, + "step": 1243 + }, + { + "epoch": 0.04, + "learning_rate": 9.99888447157364e-06, + "loss": 0.7702, + "step": 1244 + }, + { + "epoch": 0.04, + "learning_rate": 9.998874399511234e-06, + "loss": 0.9747, + "step": 1245 + }, + { + "epoch": 0.04, + "learning_rate": 9.998864282187942e-06, + "loss": 0.7926, + "step": 1246 + }, + { + "epoch": 0.04, + "learning_rate": 9.998854119603855e-06, + "loss": 0.7345, + "step": 1247 + }, + { + "epoch": 0.04, + "learning_rate": 9.998843911759066e-06, + "loss": 1.2228, + "step": 1248 + }, + { + "epoch": 0.04, + "learning_rate": 9.998833658653664e-06, + "loss": 1.089, + "step": 1249 + }, + { + "epoch": 0.04, + "learning_rate": 9.998823360287745e-06, + "loss": 1.0652, + "step": 1250 + }, + { + "epoch": 0.04, + "learning_rate": 9.998813016661401e-06, + "loss": 0.961, + "step": 1251 + }, + { + "epoch": 0.04, + "learning_rate": 9.998802627774727e-06, + "loss": 0.5806, + "step": 1252 + }, + { + "epoch": 0.04, + "learning_rate": 9.998792193627816e-06, + "loss": 0.8414, + "step": 1253 + }, + { + "epoch": 0.04, + "learning_rate": 9.998781714220762e-06, + "loss": 0.9556, + "step": 1254 + }, + { + "epoch": 0.04, + "learning_rate": 9.998771189553662e-06, + "loss": 0.8824, + "step": 1255 + }, + { + "epoch": 0.04, + "learning_rate": 9.998760619626609e-06, + "loss": 0.804, + "step": 1256 + }, + { + "epoch": 0.04, + "learning_rate": 9.998750004439698e-06, + "loss": 0.7036, + "step": 1257 + }, + { + "epoch": 0.04, + "learning_rate": 9.998739343993027e-06, + "loss": 0.8523, + "step": 1258 + }, + { + "epoch": 0.04, + "learning_rate": 9.998728638286693e-06, + "loss": 0.806, + "step": 1259 + }, + { + "epoch": 0.04, + "learning_rate": 9.998717887320792e-06, + "loss": 0.9485, + "step": 1260 + }, + { + "epoch": 0.04, + "learning_rate": 9.998707091095421e-06, + "loss": 0.7915, + "step": 1261 + }, + { + "epoch": 0.04, + "learning_rate": 9.998696249610678e-06, + "loss": 0.8634, + "step": 1262 + }, + { + "epoch": 0.04, + "learning_rate": 9.998685362866662e-06, + "loss": 0.8395, + "step": 1263 + }, + { + "epoch": 0.04, + "learning_rate": 9.99867443086347e-06, + "loss": 0.9426, + "step": 1264 + }, + { + "epoch": 0.04, + "learning_rate": 9.998663453601204e-06, + "loss": 1.05, + "step": 1265 + }, + { + "epoch": 0.04, + "learning_rate": 9.998652431079958e-06, + "loss": 1.0014, + "step": 1266 + }, + { + "epoch": 0.04, + "learning_rate": 9.998641363299836e-06, + "loss": 1.0929, + "step": 1267 + }, + { + "epoch": 0.04, + "learning_rate": 9.998630250260938e-06, + "loss": 0.6917, + "step": 1268 + }, + { + "epoch": 0.04, + "learning_rate": 9.998619091963361e-06, + "loss": 0.6325, + "step": 1269 + }, + { + "epoch": 0.04, + "learning_rate": 9.998607888407212e-06, + "loss": 0.9555, + "step": 1270 + }, + { + "epoch": 0.04, + "learning_rate": 9.99859663959259e-06, + "loss": 1.0602, + "step": 1271 + }, + { + "epoch": 0.04, + "learning_rate": 9.998585345519593e-06, + "loss": 0.8662, + "step": 1272 + }, + { + "epoch": 0.04, + "learning_rate": 9.99857400618833e-06, + "loss": 0.7897, + "step": 1273 + }, + { + "epoch": 0.04, + "learning_rate": 9.998562621598898e-06, + "loss": 0.8527, + "step": 1274 + }, + { + "epoch": 0.04, + "learning_rate": 9.998551191751402e-06, + "loss": 0.7248, + "step": 1275 + }, + { + "epoch": 0.04, + "learning_rate": 9.998539716645946e-06, + "loss": 0.5988, + "step": 1276 + }, + { + "epoch": 0.04, + "learning_rate": 9.998528196282634e-06, + "loss": 0.9067, + "step": 1277 + }, + { + "epoch": 0.04, + "learning_rate": 9.99851663066157e-06, + "loss": 0.979, + "step": 1278 + }, + { + "epoch": 0.04, + "learning_rate": 9.998505019782859e-06, + "loss": 0.6842, + "step": 1279 + }, + { + "epoch": 0.04, + "learning_rate": 9.998493363646604e-06, + "loss": 1.3001, + "step": 1280 + }, + { + "epoch": 0.04, + "learning_rate": 9.998481662252912e-06, + "loss": 0.9151, + "step": 1281 + }, + { + "epoch": 0.04, + "learning_rate": 9.998469915601892e-06, + "loss": 0.8492, + "step": 1282 + }, + { + "epoch": 0.04, + "learning_rate": 9.998458123693644e-06, + "loss": 0.91, + "step": 1283 + }, + { + "epoch": 0.04, + "learning_rate": 9.998446286528281e-06, + "loss": 0.9282, + "step": 1284 + }, + { + "epoch": 0.04, + "learning_rate": 9.998434404105906e-06, + "loss": 0.592, + "step": 1285 + }, + { + "epoch": 0.04, + "learning_rate": 9.99842247642663e-06, + "loss": 0.7649, + "step": 1286 + }, + { + "epoch": 0.04, + "learning_rate": 9.998410503490556e-06, + "loss": 0.7677, + "step": 1287 + }, + { + "epoch": 0.04, + "learning_rate": 9.998398485297798e-06, + "loss": 0.8679, + "step": 1288 + }, + { + "epoch": 0.04, + "learning_rate": 9.998386421848462e-06, + "loss": 0.5978, + "step": 1289 + }, + { + "epoch": 0.04, + "learning_rate": 9.998374313142657e-06, + "loss": 0.672, + "step": 1290 + }, + { + "epoch": 0.04, + "learning_rate": 9.998362159180493e-06, + "loss": 1.0141, + "step": 1291 + }, + { + "epoch": 0.04, + "learning_rate": 9.99834995996208e-06, + "loss": 0.9577, + "step": 1292 + }, + { + "epoch": 0.04, + "learning_rate": 9.99833771548753e-06, + "loss": 1.0495, + "step": 1293 + }, + { + "epoch": 0.04, + "learning_rate": 9.998325425756953e-06, + "loss": 0.715, + "step": 1294 + }, + { + "epoch": 0.04, + "learning_rate": 9.998313090770456e-06, + "loss": 0.7203, + "step": 1295 + }, + { + "epoch": 0.04, + "learning_rate": 9.998300710528157e-06, + "loss": 1.1092, + "step": 1296 + }, + { + "epoch": 0.04, + "learning_rate": 9.998288285030166e-06, + "loss": 0.7923, + "step": 1297 + }, + { + "epoch": 0.04, + "learning_rate": 9.998275814276595e-06, + "loss": 0.7432, + "step": 1298 + }, + { + "epoch": 0.04, + "learning_rate": 9.998263298267556e-06, + "loss": 0.9467, + "step": 1299 + }, + { + "epoch": 0.04, + "learning_rate": 9.998250737003163e-06, + "loss": 0.7954, + "step": 1300 + }, + { + "epoch": 0.04, + "learning_rate": 9.99823813048353e-06, + "loss": 0.7715, + "step": 1301 + }, + { + "epoch": 0.04, + "learning_rate": 9.998225478708775e-06, + "loss": 0.9017, + "step": 1302 + }, + { + "epoch": 0.04, + "learning_rate": 9.998212781679004e-06, + "loss": 0.7275, + "step": 1303 + }, + { + "epoch": 0.04, + "learning_rate": 9.998200039394339e-06, + "loss": 0.7953, + "step": 1304 + }, + { + "epoch": 0.04, + "learning_rate": 9.998187251854892e-06, + "loss": 0.9126, + "step": 1305 + }, + { + "epoch": 0.04, + "learning_rate": 9.99817441906078e-06, + "loss": 1.0811, + "step": 1306 + }, + { + "epoch": 0.04, + "learning_rate": 9.998161541012119e-06, + "loss": 0.6568, + "step": 1307 + }, + { + "epoch": 0.04, + "learning_rate": 9.998148617709027e-06, + "loss": 0.9755, + "step": 1308 + }, + { + "epoch": 0.04, + "learning_rate": 9.99813564915162e-06, + "loss": 0.8718, + "step": 1309 + }, + { + "epoch": 0.04, + "learning_rate": 9.998122635340014e-06, + "loss": 0.8187, + "step": 1310 + }, + { + "epoch": 0.04, + "learning_rate": 9.998109576274327e-06, + "loss": 0.7372, + "step": 1311 + }, + { + "epoch": 0.04, + "learning_rate": 9.998096471954679e-06, + "loss": 0.8102, + "step": 1312 + }, + { + "epoch": 0.04, + "learning_rate": 9.998083322381187e-06, + "loss": 0.8283, + "step": 1313 + }, + { + "epoch": 0.04, + "learning_rate": 9.998070127553971e-06, + "loss": 0.7284, + "step": 1314 + }, + { + "epoch": 0.04, + "learning_rate": 9.998056887473151e-06, + "loss": 0.697, + "step": 1315 + }, + { + "epoch": 0.04, + "learning_rate": 9.998043602138845e-06, + "loss": 1.0014, + "step": 1316 + }, + { + "epoch": 0.04, + "learning_rate": 9.998030271551175e-06, + "loss": 0.6668, + "step": 1317 + }, + { + "epoch": 0.04, + "learning_rate": 9.998016895710262e-06, + "loss": 1.0985, + "step": 1318 + }, + { + "epoch": 0.04, + "learning_rate": 9.998003474616226e-06, + "loss": 0.8, + "step": 1319 + }, + { + "epoch": 0.04, + "learning_rate": 9.997990008269189e-06, + "loss": 0.8057, + "step": 1320 + }, + { + "epoch": 0.04, + "learning_rate": 9.997976496669272e-06, + "loss": 0.9213, + "step": 1321 + }, + { + "epoch": 0.04, + "learning_rate": 9.997962939816598e-06, + "loss": 0.7436, + "step": 1322 + }, + { + "epoch": 0.04, + "learning_rate": 9.997949337711293e-06, + "loss": 0.7518, + "step": 1323 + }, + { + "epoch": 0.04, + "learning_rate": 9.997935690353474e-06, + "loss": 0.8386, + "step": 1324 + }, + { + "epoch": 0.04, + "learning_rate": 9.997921997743267e-06, + "loss": 0.5629, + "step": 1325 + }, + { + "epoch": 0.04, + "learning_rate": 9.997908259880797e-06, + "loss": 0.7176, + "step": 1326 + }, + { + "epoch": 0.04, + "learning_rate": 9.997894476766189e-06, + "loss": 1.1103, + "step": 1327 + }, + { + "epoch": 0.04, + "learning_rate": 9.997880648399565e-06, + "loss": 0.8978, + "step": 1328 + }, + { + "epoch": 0.04, + "learning_rate": 9.997866774781054e-06, + "loss": 0.7591, + "step": 1329 + }, + { + "epoch": 0.04, + "learning_rate": 9.997852855910777e-06, + "loss": 0.9914, + "step": 1330 + }, + { + "epoch": 0.04, + "learning_rate": 9.997838891788865e-06, + "loss": 0.799, + "step": 1331 + }, + { + "epoch": 0.04, + "learning_rate": 9.997824882415441e-06, + "loss": 0.7729, + "step": 1332 + }, + { + "epoch": 0.04, + "learning_rate": 9.997810827790632e-06, + "loss": 0.8297, + "step": 1333 + }, + { + "epoch": 0.04, + "learning_rate": 9.997796727914568e-06, + "loss": 0.8229, + "step": 1334 + }, + { + "epoch": 0.04, + "learning_rate": 9.997782582787374e-06, + "loss": 0.7449, + "step": 1335 + }, + { + "epoch": 0.04, + "learning_rate": 9.997768392409177e-06, + "loss": 0.7374, + "step": 1336 + }, + { + "epoch": 0.04, + "learning_rate": 9.997754156780108e-06, + "loss": 0.9785, + "step": 1337 + }, + { + "epoch": 0.04, + "learning_rate": 9.997739875900297e-06, + "loss": 0.728, + "step": 1338 + }, + { + "epoch": 0.04, + "learning_rate": 9.99772554976987e-06, + "loss": 0.9366, + "step": 1339 + }, + { + "epoch": 0.04, + "learning_rate": 9.99771117838896e-06, + "loss": 0.9629, + "step": 1340 + }, + { + "epoch": 0.04, + "learning_rate": 9.997696761757692e-06, + "loss": 0.6295, + "step": 1341 + }, + { + "epoch": 0.04, + "learning_rate": 9.997682299876203e-06, + "loss": 0.9525, + "step": 1342 + }, + { + "epoch": 0.04, + "learning_rate": 9.997667792744619e-06, + "loss": 1.0336, + "step": 1343 + }, + { + "epoch": 0.04, + "learning_rate": 9.997653240363074e-06, + "loss": 0.8942, + "step": 1344 + }, + { + "epoch": 0.04, + "learning_rate": 9.997638642731697e-06, + "loss": 0.8216, + "step": 1345 + }, + { + "epoch": 0.04, + "learning_rate": 9.997623999850625e-06, + "loss": 0.7984, + "step": 1346 + }, + { + "epoch": 0.04, + "learning_rate": 9.997609311719985e-06, + "loss": 0.7241, + "step": 1347 + }, + { + "epoch": 0.04, + "learning_rate": 9.997594578339915e-06, + "loss": 0.8443, + "step": 1348 + }, + { + "epoch": 0.04, + "learning_rate": 9.997579799710544e-06, + "loss": 0.8051, + "step": 1349 + }, + { + "epoch": 0.04, + "learning_rate": 9.99756497583201e-06, + "loss": 0.7545, + "step": 1350 + }, + { + "epoch": 0.04, + "learning_rate": 9.997550106704444e-06, + "loss": 0.835, + "step": 1351 + }, + { + "epoch": 0.04, + "learning_rate": 9.99753519232798e-06, + "loss": 0.7145, + "step": 1352 + }, + { + "epoch": 0.04, + "learning_rate": 9.997520232702758e-06, + "loss": 0.704, + "step": 1353 + }, + { + "epoch": 0.04, + "learning_rate": 9.997505227828907e-06, + "loss": 0.8821, + "step": 1354 + }, + { + "epoch": 0.04, + "learning_rate": 9.997490177706568e-06, + "loss": 0.822, + "step": 1355 + }, + { + "epoch": 0.04, + "learning_rate": 9.997475082335875e-06, + "loss": 0.7991, + "step": 1356 + }, + { + "epoch": 0.04, + "learning_rate": 9.997459941716965e-06, + "loss": 0.6505, + "step": 1357 + }, + { + "epoch": 0.04, + "learning_rate": 9.997444755849975e-06, + "loss": 0.8859, + "step": 1358 + }, + { + "epoch": 0.04, + "learning_rate": 9.997429524735043e-06, + "loss": 0.7869, + "step": 1359 + }, + { + "epoch": 0.04, + "learning_rate": 9.997414248372305e-06, + "loss": 1.0006, + "step": 1360 + }, + { + "epoch": 0.04, + "learning_rate": 9.997398926761902e-06, + "loss": 0.9411, + "step": 1361 + }, + { + "epoch": 0.04, + "learning_rate": 9.997383559903971e-06, + "loss": 0.8922, + "step": 1362 + }, + { + "epoch": 0.04, + "learning_rate": 9.997368147798651e-06, + "loss": 0.9327, + "step": 1363 + }, + { + "epoch": 0.04, + "learning_rate": 9.997352690446085e-06, + "loss": 0.64, + "step": 1364 + }, + { + "epoch": 0.04, + "learning_rate": 9.997337187846408e-06, + "loss": 0.8176, + "step": 1365 + }, + { + "epoch": 0.04, + "learning_rate": 9.997321639999763e-06, + "loss": 1.0338, + "step": 1366 + }, + { + "epoch": 0.04, + "learning_rate": 9.99730604690629e-06, + "loss": 0.7994, + "step": 1367 + }, + { + "epoch": 0.04, + "learning_rate": 9.99729040856613e-06, + "loss": 0.8814, + "step": 1368 + }, + { + "epoch": 0.04, + "learning_rate": 9.997274724979425e-06, + "loss": 0.6594, + "step": 1369 + }, + { + "epoch": 0.04, + "learning_rate": 9.997258996146318e-06, + "loss": 0.696, + "step": 1370 + }, + { + "epoch": 0.04, + "learning_rate": 9.99724322206695e-06, + "loss": 1.1185, + "step": 1371 + }, + { + "epoch": 0.04, + "learning_rate": 9.997227402741465e-06, + "loss": 1.0036, + "step": 1372 + }, + { + "epoch": 0.04, + "learning_rate": 9.997211538170004e-06, + "loss": 0.7004, + "step": 1373 + }, + { + "epoch": 0.04, + "learning_rate": 9.997195628352714e-06, + "loss": 0.8717, + "step": 1374 + }, + { + "epoch": 0.04, + "learning_rate": 9.997179673289736e-06, + "loss": 0.8357, + "step": 1375 + }, + { + "epoch": 0.04, + "learning_rate": 9.997163672981216e-06, + "loss": 0.9099, + "step": 1376 + }, + { + "epoch": 0.04, + "learning_rate": 9.997147627427299e-06, + "loss": 0.7055, + "step": 1377 + }, + { + "epoch": 0.04, + "learning_rate": 9.997131536628128e-06, + "loss": 0.8746, + "step": 1378 + }, + { + "epoch": 0.04, + "learning_rate": 9.997115400583853e-06, + "loss": 0.9372, + "step": 1379 + }, + { + "epoch": 0.04, + "learning_rate": 9.997099219294618e-06, + "loss": 0.6853, + "step": 1380 + }, + { + "epoch": 0.04, + "learning_rate": 9.997082992760567e-06, + "loss": 0.7779, + "step": 1381 + }, + { + "epoch": 0.04, + "learning_rate": 9.99706672098185e-06, + "loss": 0.8579, + "step": 1382 + }, + { + "epoch": 0.04, + "learning_rate": 9.997050403958613e-06, + "loss": 1.1808, + "step": 1383 + }, + { + "epoch": 0.04, + "learning_rate": 9.997034041691003e-06, + "loss": 0.8213, + "step": 1384 + }, + { + "epoch": 0.04, + "learning_rate": 9.99701763417917e-06, + "loss": 0.7594, + "step": 1385 + }, + { + "epoch": 0.04, + "learning_rate": 9.997001181423263e-06, + "loss": 0.858, + "step": 1386 + }, + { + "epoch": 0.04, + "learning_rate": 9.99698468342343e-06, + "loss": 0.913, + "step": 1387 + }, + { + "epoch": 0.04, + "learning_rate": 9.99696814017982e-06, + "loss": 0.6111, + "step": 1388 + }, + { + "epoch": 0.04, + "learning_rate": 9.996951551692581e-06, + "loss": 0.8541, + "step": 1389 + }, + { + "epoch": 0.04, + "learning_rate": 9.996934917961866e-06, + "loss": 0.9717, + "step": 1390 + }, + { + "epoch": 0.04, + "learning_rate": 9.996918238987825e-06, + "loss": 0.9965, + "step": 1391 + }, + { + "epoch": 0.04, + "learning_rate": 9.99690151477061e-06, + "loss": 0.7972, + "step": 1392 + }, + { + "epoch": 0.04, + "learning_rate": 9.996884745310369e-06, + "loss": 0.7316, + "step": 1393 + }, + { + "epoch": 0.04, + "learning_rate": 9.996867930607258e-06, + "loss": 0.7942, + "step": 1394 + }, + { + "epoch": 0.04, + "learning_rate": 9.996851070661425e-06, + "loss": 0.9663, + "step": 1395 + }, + { + "epoch": 0.04, + "learning_rate": 9.996834165473026e-06, + "loss": 0.8984, + "step": 1396 + }, + { + "epoch": 0.04, + "learning_rate": 9.996817215042214e-06, + "loss": 0.9089, + "step": 1397 + }, + { + "epoch": 0.04, + "learning_rate": 9.99680021936914e-06, + "loss": 0.811, + "step": 1398 + }, + { + "epoch": 0.04, + "learning_rate": 9.996783178453961e-06, + "loss": 1.0159, + "step": 1399 + }, + { + "epoch": 0.04, + "learning_rate": 9.996766092296827e-06, + "loss": 0.9997, + "step": 1400 + }, + { + "epoch": 0.04, + "learning_rate": 9.996748960897899e-06, + "loss": 0.8369, + "step": 1401 + }, + { + "epoch": 0.04, + "learning_rate": 9.996731784257325e-06, + "loss": 0.9269, + "step": 1402 + }, + { + "epoch": 0.04, + "learning_rate": 9.996714562375266e-06, + "loss": 0.726, + "step": 1403 + }, + { + "epoch": 0.04, + "learning_rate": 9.996697295251876e-06, + "loss": 0.8697, + "step": 1404 + }, + { + "epoch": 0.04, + "learning_rate": 9.99667998288731e-06, + "loss": 0.6467, + "step": 1405 + }, + { + "epoch": 0.04, + "learning_rate": 9.996662625281727e-06, + "loss": 0.7466, + "step": 1406 + }, + { + "epoch": 0.04, + "learning_rate": 9.996645222435282e-06, + "loss": 0.9978, + "step": 1407 + }, + { + "epoch": 0.04, + "learning_rate": 9.996627774348136e-06, + "loss": 0.9871, + "step": 1408 + }, + { + "epoch": 0.04, + "learning_rate": 9.996610281020442e-06, + "loss": 1.0911, + "step": 1409 + }, + { + "epoch": 0.04, + "learning_rate": 9.996592742452362e-06, + "loss": 0.7709, + "step": 1410 + }, + { + "epoch": 0.04, + "learning_rate": 9.996575158644053e-06, + "loss": 0.8243, + "step": 1411 + }, + { + "epoch": 0.04, + "learning_rate": 9.996557529595677e-06, + "loss": 0.913, + "step": 1412 + }, + { + "epoch": 0.04, + "learning_rate": 9.996539855307392e-06, + "loss": 0.9381, + "step": 1413 + }, + { + "epoch": 0.04, + "learning_rate": 9.996522135779356e-06, + "loss": 0.8239, + "step": 1414 + }, + { + "epoch": 0.04, + "learning_rate": 9.996504371011731e-06, + "loss": 0.8583, + "step": 1415 + }, + { + "epoch": 0.04, + "learning_rate": 9.99648656100468e-06, + "loss": 0.9146, + "step": 1416 + }, + { + "epoch": 0.04, + "learning_rate": 9.996468705758359e-06, + "loss": 0.8323, + "step": 1417 + }, + { + "epoch": 0.04, + "learning_rate": 9.996450805272937e-06, + "loss": 0.921, + "step": 1418 + }, + { + "epoch": 0.04, + "learning_rate": 9.99643285954857e-06, + "loss": 1.1025, + "step": 1419 + }, + { + "epoch": 0.04, + "learning_rate": 9.996414868585422e-06, + "loss": 0.9775, + "step": 1420 + }, + { + "epoch": 0.04, + "learning_rate": 9.996396832383657e-06, + "loss": 0.6697, + "step": 1421 + }, + { + "epoch": 0.04, + "learning_rate": 9.996378750943437e-06, + "loss": 0.8864, + "step": 1422 + }, + { + "epoch": 0.04, + "learning_rate": 9.996360624264927e-06, + "loss": 0.8742, + "step": 1423 + }, + { + "epoch": 0.04, + "learning_rate": 9.99634245234829e-06, + "loss": 0.8122, + "step": 1424 + }, + { + "epoch": 0.04, + "learning_rate": 9.996324235193692e-06, + "loss": 0.8369, + "step": 1425 + }, + { + "epoch": 0.04, + "learning_rate": 9.996305972801297e-06, + "loss": 0.6951, + "step": 1426 + }, + { + "epoch": 0.04, + "learning_rate": 9.99628766517127e-06, + "loss": 0.7571, + "step": 1427 + }, + { + "epoch": 0.04, + "learning_rate": 9.996269312303776e-06, + "loss": 0.9002, + "step": 1428 + }, + { + "epoch": 0.04, + "learning_rate": 9.996250914198983e-06, + "loss": 0.651, + "step": 1429 + }, + { + "epoch": 0.04, + "learning_rate": 9.996232470857057e-06, + "loss": 0.9283, + "step": 1430 + }, + { + "epoch": 0.04, + "learning_rate": 9.996213982278168e-06, + "loss": 0.7728, + "step": 1431 + }, + { + "epoch": 0.04, + "learning_rate": 9.996195448462475e-06, + "loss": 0.8929, + "step": 1432 + }, + { + "epoch": 0.04, + "learning_rate": 9.996176869410155e-06, + "loss": 0.8456, + "step": 1433 + }, + { + "epoch": 0.04, + "learning_rate": 9.99615824512137e-06, + "loss": 0.8442, + "step": 1434 + }, + { + "epoch": 0.04, + "learning_rate": 9.996139575596292e-06, + "loss": 0.7682, + "step": 1435 + }, + { + "epoch": 0.04, + "learning_rate": 9.996120860835089e-06, + "loss": 0.8381, + "step": 1436 + }, + { + "epoch": 0.04, + "learning_rate": 9.996102100837928e-06, + "loss": 0.7708, + "step": 1437 + }, + { + "epoch": 0.04, + "learning_rate": 9.996083295604984e-06, + "loss": 1.1439, + "step": 1438 + }, + { + "epoch": 0.04, + "learning_rate": 9.996064445136424e-06, + "loss": 1.1551, + "step": 1439 + }, + { + "epoch": 0.04, + "learning_rate": 9.996045549432418e-06, + "loss": 0.675, + "step": 1440 + }, + { + "epoch": 0.04, + "learning_rate": 9.99602660849314e-06, + "loss": 1.0623, + "step": 1441 + }, + { + "epoch": 0.04, + "learning_rate": 9.996007622318758e-06, + "loss": 0.7436, + "step": 1442 + }, + { + "epoch": 0.04, + "learning_rate": 9.995988590909447e-06, + "loss": 0.8055, + "step": 1443 + }, + { + "epoch": 0.04, + "learning_rate": 9.995969514265379e-06, + "loss": 1.0272, + "step": 1444 + }, + { + "epoch": 0.04, + "learning_rate": 9.995950392386722e-06, + "loss": 0.6514, + "step": 1445 + }, + { + "epoch": 0.04, + "learning_rate": 9.995931225273656e-06, + "loss": 0.8968, + "step": 1446 + }, + { + "epoch": 0.04, + "learning_rate": 9.995912012926351e-06, + "loss": 0.8989, + "step": 1447 + }, + { + "epoch": 0.04, + "learning_rate": 9.99589275534498e-06, + "loss": 0.7804, + "step": 1448 + }, + { + "epoch": 0.04, + "learning_rate": 9.99587345252972e-06, + "loss": 0.6314, + "step": 1449 + }, + { + "epoch": 0.04, + "learning_rate": 9.995854104480744e-06, + "loss": 0.8595, + "step": 1450 + }, + { + "epoch": 0.04, + "learning_rate": 9.995834711198229e-06, + "loss": 0.7168, + "step": 1451 + }, + { + "epoch": 0.04, + "learning_rate": 9.995815272682348e-06, + "loss": 0.8706, + "step": 1452 + }, + { + "epoch": 0.04, + "learning_rate": 9.995795788933278e-06, + "loss": 0.8629, + "step": 1453 + }, + { + "epoch": 0.04, + "learning_rate": 9.995776259951197e-06, + "loss": 0.84, + "step": 1454 + }, + { + "epoch": 0.04, + "learning_rate": 9.995756685736278e-06, + "loss": 0.8767, + "step": 1455 + }, + { + "epoch": 0.04, + "learning_rate": 9.995737066288703e-06, + "loss": 0.8294, + "step": 1456 + }, + { + "epoch": 0.04, + "learning_rate": 9.995717401608647e-06, + "loss": 0.8575, + "step": 1457 + }, + { + "epoch": 0.04, + "learning_rate": 9.995697691696288e-06, + "loss": 0.8242, + "step": 1458 + }, + { + "epoch": 0.04, + "learning_rate": 9.995677936551804e-06, + "loss": 0.7185, + "step": 1459 + }, + { + "epoch": 0.04, + "learning_rate": 9.995658136175376e-06, + "loss": 0.7987, + "step": 1460 + }, + { + "epoch": 0.04, + "learning_rate": 9.995638290567182e-06, + "loss": 1.0105, + "step": 1461 + }, + { + "epoch": 0.04, + "learning_rate": 9.9956183997274e-06, + "loss": 0.7661, + "step": 1462 + }, + { + "epoch": 0.04, + "learning_rate": 9.995598463656214e-06, + "loss": 0.8038, + "step": 1463 + }, + { + "epoch": 0.04, + "learning_rate": 9.9955784823538e-06, + "loss": 1.1397, + "step": 1464 + }, + { + "epoch": 0.04, + "learning_rate": 9.995558455820345e-06, + "loss": 0.7897, + "step": 1465 + }, + { + "epoch": 0.04, + "learning_rate": 9.995538384056023e-06, + "loss": 0.6005, + "step": 1466 + }, + { + "epoch": 0.04, + "learning_rate": 9.99551826706102e-06, + "loss": 0.9754, + "step": 1467 + }, + { + "epoch": 0.04, + "learning_rate": 9.995498104835519e-06, + "loss": 0.6477, + "step": 1468 + }, + { + "epoch": 0.04, + "learning_rate": 9.9954778973797e-06, + "loss": 1.084, + "step": 1469 + }, + { + "epoch": 0.04, + "learning_rate": 9.995457644693746e-06, + "loss": 0.9602, + "step": 1470 + }, + { + "epoch": 0.04, + "learning_rate": 9.995437346777842e-06, + "loss": 0.6297, + "step": 1471 + }, + { + "epoch": 0.04, + "learning_rate": 9.995417003632171e-06, + "loss": 0.6599, + "step": 1472 + }, + { + "epoch": 0.04, + "learning_rate": 9.995396615256918e-06, + "loss": 0.8503, + "step": 1473 + }, + { + "epoch": 0.04, + "learning_rate": 9.995376181652265e-06, + "loss": 0.8181, + "step": 1474 + }, + { + "epoch": 0.04, + "learning_rate": 9.995355702818401e-06, + "loss": 0.6845, + "step": 1475 + }, + { + "epoch": 0.04, + "learning_rate": 9.995335178755507e-06, + "loss": 0.8356, + "step": 1476 + }, + { + "epoch": 0.04, + "learning_rate": 9.995314609463774e-06, + "loss": 0.8367, + "step": 1477 + }, + { + "epoch": 0.04, + "learning_rate": 9.995293994943384e-06, + "loss": 0.6532, + "step": 1478 + }, + { + "epoch": 0.04, + "learning_rate": 9.995273335194524e-06, + "loss": 0.7569, + "step": 1479 + }, + { + "epoch": 0.04, + "learning_rate": 9.995252630217384e-06, + "loss": 1.076, + "step": 1480 + }, + { + "epoch": 0.04, + "learning_rate": 9.995231880012148e-06, + "loss": 0.9586, + "step": 1481 + }, + { + "epoch": 0.04, + "learning_rate": 9.995211084579007e-06, + "loss": 0.7296, + "step": 1482 + }, + { + "epoch": 0.04, + "learning_rate": 9.995190243918146e-06, + "loss": 0.8281, + "step": 1483 + }, + { + "epoch": 0.04, + "learning_rate": 9.995169358029757e-06, + "loss": 0.9004, + "step": 1484 + }, + { + "epoch": 0.04, + "learning_rate": 9.995148426914026e-06, + "loss": 0.7517, + "step": 1485 + }, + { + "epoch": 0.04, + "learning_rate": 9.995127450571145e-06, + "loss": 0.816, + "step": 1486 + }, + { + "epoch": 0.04, + "learning_rate": 9.995106429001302e-06, + "loss": 0.7415, + "step": 1487 + }, + { + "epoch": 0.04, + "learning_rate": 9.99508536220469e-06, + "loss": 0.7836, + "step": 1488 + }, + { + "epoch": 0.04, + "learning_rate": 9.995064250181496e-06, + "loss": 0.7606, + "step": 1489 + }, + { + "epoch": 0.04, + "learning_rate": 9.995043092931914e-06, + "loss": 0.9441, + "step": 1490 + }, + { + "epoch": 0.04, + "learning_rate": 9.995021890456134e-06, + "loss": 0.8798, + "step": 1491 + }, + { + "epoch": 0.04, + "learning_rate": 9.995000642754352e-06, + "loss": 0.7344, + "step": 1492 + }, + { + "epoch": 0.04, + "learning_rate": 9.994979349826753e-06, + "loss": 0.7451, + "step": 1493 + }, + { + "epoch": 0.04, + "learning_rate": 9.994958011673535e-06, + "loss": 0.8414, + "step": 1494 + }, + { + "epoch": 0.04, + "learning_rate": 9.994936628294891e-06, + "loss": 0.9337, + "step": 1495 + }, + { + "epoch": 0.04, + "learning_rate": 9.994915199691013e-06, + "loss": 0.6671, + "step": 1496 + }, + { + "epoch": 0.04, + "learning_rate": 9.994893725862096e-06, + "loss": 0.8799, + "step": 1497 + }, + { + "epoch": 0.04, + "learning_rate": 9.994872206808335e-06, + "loss": 0.7881, + "step": 1498 + }, + { + "epoch": 0.04, + "learning_rate": 9.994850642529923e-06, + "loss": 0.7833, + "step": 1499 + }, + { + "epoch": 0.04, + "learning_rate": 9.994829033027055e-06, + "loss": 0.7704, + "step": 1500 + }, + { + "epoch": 0.04, + "learning_rate": 9.994807378299931e-06, + "loss": 1.007, + "step": 1501 + }, + { + "epoch": 0.04, + "learning_rate": 9.994785678348742e-06, + "loss": 0.8427, + "step": 1502 + }, + { + "epoch": 0.04, + "learning_rate": 9.994763933173686e-06, + "loss": 0.9429, + "step": 1503 + }, + { + "epoch": 0.04, + "learning_rate": 9.994742142774961e-06, + "loss": 0.9523, + "step": 1504 + }, + { + "epoch": 0.04, + "learning_rate": 9.994720307152764e-06, + "loss": 0.8118, + "step": 1505 + }, + { + "epoch": 0.04, + "learning_rate": 9.994698426307292e-06, + "loss": 0.8906, + "step": 1506 + }, + { + "epoch": 0.04, + "learning_rate": 9.994676500238743e-06, + "loss": 0.8429, + "step": 1507 + }, + { + "epoch": 0.04, + "learning_rate": 9.994654528947317e-06, + "loss": 0.9498, + "step": 1508 + }, + { + "epoch": 0.04, + "learning_rate": 9.994632512433212e-06, + "loss": 0.8605, + "step": 1509 + }, + { + "epoch": 0.04, + "learning_rate": 9.994610450696624e-06, + "loss": 0.7439, + "step": 1510 + }, + { + "epoch": 0.04, + "learning_rate": 9.994588343737759e-06, + "loss": 0.6473, + "step": 1511 + }, + { + "epoch": 0.04, + "learning_rate": 9.994566191556814e-06, + "loss": 0.939, + "step": 1512 + }, + { + "epoch": 0.04, + "learning_rate": 9.99454399415399e-06, + "loss": 0.8949, + "step": 1513 + }, + { + "epoch": 0.04, + "learning_rate": 9.994521751529486e-06, + "loss": 0.8481, + "step": 1514 + }, + { + "epoch": 0.04, + "learning_rate": 9.994499463683506e-06, + "loss": 0.9672, + "step": 1515 + }, + { + "epoch": 0.04, + "learning_rate": 9.99447713061625e-06, + "loss": 0.7355, + "step": 1516 + }, + { + "epoch": 0.04, + "learning_rate": 9.994454752327923e-06, + "loss": 0.661, + "step": 1517 + }, + { + "epoch": 0.04, + "learning_rate": 9.994432328818723e-06, + "loss": 0.8282, + "step": 1518 + }, + { + "epoch": 0.04, + "learning_rate": 9.994409860088859e-06, + "loss": 0.8178, + "step": 1519 + }, + { + "epoch": 0.04, + "learning_rate": 9.99438734613853e-06, + "loss": 0.968, + "step": 1520 + }, + { + "epoch": 0.04, + "learning_rate": 9.994364786967939e-06, + "loss": 0.6505, + "step": 1521 + }, + { + "epoch": 0.04, + "learning_rate": 9.994342182577295e-06, + "loss": 1.0169, + "step": 1522 + }, + { + "epoch": 0.04, + "learning_rate": 9.994319532966799e-06, + "loss": 1.1168, + "step": 1523 + }, + { + "epoch": 0.04, + "learning_rate": 9.994296838136656e-06, + "loss": 0.8042, + "step": 1524 + }, + { + "epoch": 0.04, + "learning_rate": 9.994274098087073e-06, + "loss": 0.9278, + "step": 1525 + }, + { + "epoch": 0.04, + "learning_rate": 9.994251312818256e-06, + "loss": 1.0591, + "step": 1526 + }, + { + "epoch": 0.04, + "learning_rate": 9.99422848233041e-06, + "loss": 0.9613, + "step": 1527 + }, + { + "epoch": 0.04, + "learning_rate": 9.994205606623743e-06, + "loss": 1.1136, + "step": 1528 + }, + { + "epoch": 0.04, + "learning_rate": 9.99418268569846e-06, + "loss": 0.8207, + "step": 1529 + }, + { + "epoch": 0.04, + "learning_rate": 9.994159719554773e-06, + "loss": 0.7622, + "step": 1530 + }, + { + "epoch": 0.04, + "learning_rate": 9.994136708192885e-06, + "loss": 0.8259, + "step": 1531 + }, + { + "epoch": 0.05, + "learning_rate": 9.994113651613007e-06, + "loss": 0.7085, + "step": 1532 + }, + { + "epoch": 0.05, + "learning_rate": 9.994090549815346e-06, + "loss": 0.8932, + "step": 1533 + }, + { + "epoch": 0.05, + "learning_rate": 9.994067402800114e-06, + "loss": 0.6748, + "step": 1534 + }, + { + "epoch": 0.05, + "learning_rate": 9.994044210567517e-06, + "loss": 0.8284, + "step": 1535 + }, + { + "epoch": 0.05, + "learning_rate": 9.994020973117768e-06, + "loss": 0.7675, + "step": 1536 + }, + { + "epoch": 0.05, + "learning_rate": 9.993997690451077e-06, + "loss": 1.1109, + "step": 1537 + }, + { + "epoch": 0.05, + "learning_rate": 9.993974362567652e-06, + "loss": 0.9931, + "step": 1538 + }, + { + "epoch": 0.05, + "learning_rate": 9.993950989467707e-06, + "loss": 0.9015, + "step": 1539 + }, + { + "epoch": 0.05, + "learning_rate": 9.993927571151453e-06, + "loss": 0.9146, + "step": 1540 + }, + { + "epoch": 0.05, + "learning_rate": 9.993904107619102e-06, + "loss": 0.9684, + "step": 1541 + }, + { + "epoch": 0.05, + "learning_rate": 9.993880598870867e-06, + "loss": 0.8956, + "step": 1542 + }, + { + "epoch": 0.05, + "learning_rate": 9.99385704490696e-06, + "loss": 0.6055, + "step": 1543 + }, + { + "epoch": 0.05, + "learning_rate": 9.993833445727595e-06, + "loss": 0.9622, + "step": 1544 + }, + { + "epoch": 0.05, + "learning_rate": 9.993809801332982e-06, + "loss": 0.6846, + "step": 1545 + }, + { + "epoch": 0.05, + "learning_rate": 9.993786111723342e-06, + "loss": 0.7616, + "step": 1546 + }, + { + "epoch": 0.05, + "learning_rate": 9.993762376898884e-06, + "loss": 0.9343, + "step": 1547 + }, + { + "epoch": 0.05, + "learning_rate": 9.993738596859824e-06, + "loss": 0.8664, + "step": 1548 + }, + { + "epoch": 0.05, + "learning_rate": 9.99371477160638e-06, + "loss": 0.7473, + "step": 1549 + }, + { + "epoch": 0.05, + "learning_rate": 9.993690901138764e-06, + "loss": 0.7844, + "step": 1550 + }, + { + "epoch": 0.05, + "learning_rate": 9.993666985457193e-06, + "loss": 0.9428, + "step": 1551 + }, + { + "epoch": 0.05, + "learning_rate": 9.993643024561885e-06, + "loss": 0.8786, + "step": 1552 + }, + { + "epoch": 0.05, + "learning_rate": 9.993619018453057e-06, + "loss": 0.5862, + "step": 1553 + }, + { + "epoch": 0.05, + "learning_rate": 9.993594967130925e-06, + "loss": 1.1091, + "step": 1554 + }, + { + "epoch": 0.05, + "learning_rate": 9.99357087059571e-06, + "loss": 0.7973, + "step": 1555 + }, + { + "epoch": 0.05, + "learning_rate": 9.993546728847625e-06, + "loss": 0.9284, + "step": 1556 + }, + { + "epoch": 0.05, + "learning_rate": 9.99352254188689e-06, + "loss": 0.6911, + "step": 1557 + }, + { + "epoch": 0.05, + "learning_rate": 9.993498309713728e-06, + "loss": 0.5668, + "step": 1558 + }, + { + "epoch": 0.05, + "learning_rate": 9.993474032328355e-06, + "loss": 0.5602, + "step": 1559 + }, + { + "epoch": 0.05, + "learning_rate": 9.993449709730989e-06, + "loss": 0.7785, + "step": 1560 + }, + { + "epoch": 0.05, + "learning_rate": 9.993425341921854e-06, + "loss": 1.0307, + "step": 1561 + }, + { + "epoch": 0.05, + "learning_rate": 9.993400928901168e-06, + "loss": 0.7285, + "step": 1562 + }, + { + "epoch": 0.05, + "learning_rate": 9.993376470669155e-06, + "loss": 0.8998, + "step": 1563 + }, + { + "epoch": 0.05, + "learning_rate": 9.993351967226036e-06, + "loss": 0.8169, + "step": 1564 + }, + { + "epoch": 0.05, + "learning_rate": 9.993327418572029e-06, + "loss": 1.0658, + "step": 1565 + }, + { + "epoch": 0.05, + "learning_rate": 9.993302824707361e-06, + "loss": 0.6562, + "step": 1566 + }, + { + "epoch": 0.05, + "learning_rate": 9.993278185632249e-06, + "loss": 0.5665, + "step": 1567 + }, + { + "epoch": 0.05, + "learning_rate": 9.993253501346922e-06, + "loss": 1.1334, + "step": 1568 + }, + { + "epoch": 0.05, + "learning_rate": 9.993228771851602e-06, + "loss": 0.7534, + "step": 1569 + }, + { + "epoch": 0.05, + "learning_rate": 9.99320399714651e-06, + "loss": 1.2346, + "step": 1570 + }, + { + "epoch": 0.05, + "learning_rate": 9.993179177231873e-06, + "loss": 0.8698, + "step": 1571 + }, + { + "epoch": 0.05, + "learning_rate": 9.993154312107916e-06, + "loss": 1.0401, + "step": 1572 + }, + { + "epoch": 0.05, + "learning_rate": 9.993129401774861e-06, + "loss": 0.9113, + "step": 1573 + }, + { + "epoch": 0.05, + "learning_rate": 9.993104446232937e-06, + "loss": 0.8494, + "step": 1574 + }, + { + "epoch": 0.05, + "learning_rate": 9.993079445482369e-06, + "loss": 0.7439, + "step": 1575 + }, + { + "epoch": 0.05, + "learning_rate": 9.993054399523383e-06, + "loss": 0.7908, + "step": 1576 + }, + { + "epoch": 0.05, + "learning_rate": 9.993029308356205e-06, + "loss": 0.642, + "step": 1577 + }, + { + "epoch": 0.05, + "learning_rate": 9.993004171981065e-06, + "loss": 0.5068, + "step": 1578 + }, + { + "epoch": 0.05, + "learning_rate": 9.992978990398187e-06, + "loss": 1.0559, + "step": 1579 + }, + { + "epoch": 0.05, + "learning_rate": 9.9929537636078e-06, + "loss": 0.8089, + "step": 1580 + }, + { + "epoch": 0.05, + "learning_rate": 9.992928491610134e-06, + "loss": 0.7183, + "step": 1581 + }, + { + "epoch": 0.05, + "learning_rate": 9.992903174405416e-06, + "loss": 0.8862, + "step": 1582 + }, + { + "epoch": 0.05, + "learning_rate": 9.992877811993877e-06, + "loss": 0.6876, + "step": 1583 + }, + { + "epoch": 0.05, + "learning_rate": 9.992852404375744e-06, + "loss": 1.0304, + "step": 1584 + }, + { + "epoch": 0.05, + "learning_rate": 9.992826951551251e-06, + "loss": 1.0861, + "step": 1585 + }, + { + "epoch": 0.05, + "learning_rate": 9.992801453520625e-06, + "loss": 0.7953, + "step": 1586 + }, + { + "epoch": 0.05, + "learning_rate": 9.992775910284098e-06, + "loss": 0.8996, + "step": 1587 + }, + { + "epoch": 0.05, + "learning_rate": 9.992750321841902e-06, + "loss": 0.7316, + "step": 1588 + }, + { + "epoch": 0.05, + "learning_rate": 9.992724688194267e-06, + "loss": 0.8425, + "step": 1589 + }, + { + "epoch": 0.05, + "learning_rate": 9.992699009341426e-06, + "loss": 0.7748, + "step": 1590 + }, + { + "epoch": 0.05, + "learning_rate": 9.992673285283612e-06, + "loss": 0.5662, + "step": 1591 + }, + { + "epoch": 0.05, + "learning_rate": 9.992647516021057e-06, + "loss": 1.0448, + "step": 1592 + }, + { + "epoch": 0.05, + "learning_rate": 9.992621701553996e-06, + "loss": 0.9038, + "step": 1593 + }, + { + "epoch": 0.05, + "learning_rate": 9.99259584188266e-06, + "loss": 0.8404, + "step": 1594 + }, + { + "epoch": 0.05, + "learning_rate": 9.992569937007286e-06, + "loss": 0.998, + "step": 1595 + }, + { + "epoch": 0.05, + "learning_rate": 9.992543986928106e-06, + "loss": 1.0992, + "step": 1596 + }, + { + "epoch": 0.05, + "learning_rate": 9.992517991645357e-06, + "loss": 0.8193, + "step": 1597 + }, + { + "epoch": 0.05, + "learning_rate": 9.992491951159273e-06, + "loss": 0.778, + "step": 1598 + }, + { + "epoch": 0.05, + "learning_rate": 9.992465865470092e-06, + "loss": 0.9735, + "step": 1599 + }, + { + "epoch": 0.05, + "learning_rate": 9.992439734578047e-06, + "loss": 0.8813, + "step": 1600 + }, + { + "epoch": 0.05, + "learning_rate": 9.992413558483376e-06, + "loss": 0.8144, + "step": 1601 + }, + { + "epoch": 0.05, + "learning_rate": 9.992387337186317e-06, + "loss": 0.9225, + "step": 1602 + }, + { + "epoch": 0.05, + "learning_rate": 9.992361070687106e-06, + "loss": 0.6101, + "step": 1603 + }, + { + "epoch": 0.05, + "learning_rate": 9.992334758985982e-06, + "loss": 0.9557, + "step": 1604 + }, + { + "epoch": 0.05, + "learning_rate": 9.992308402083182e-06, + "loss": 0.7619, + "step": 1605 + }, + { + "epoch": 0.05, + "learning_rate": 9.992281999978946e-06, + "loss": 0.8316, + "step": 1606 + }, + { + "epoch": 0.05, + "learning_rate": 9.99225555267351e-06, + "loss": 0.6742, + "step": 1607 + }, + { + "epoch": 0.05, + "learning_rate": 9.992229060167119e-06, + "loss": 0.8381, + "step": 1608 + }, + { + "epoch": 0.05, + "learning_rate": 9.992202522460006e-06, + "loss": 1.0757, + "step": 1609 + }, + { + "epoch": 0.05, + "learning_rate": 9.992175939552417e-06, + "loss": 0.7897, + "step": 1610 + }, + { + "epoch": 0.05, + "learning_rate": 9.99214931144459e-06, + "loss": 0.9225, + "step": 1611 + }, + { + "epoch": 0.05, + "learning_rate": 9.992122638136768e-06, + "loss": 0.7765, + "step": 1612 + }, + { + "epoch": 0.05, + "learning_rate": 9.99209591962919e-06, + "loss": 0.7183, + "step": 1613 + }, + { + "epoch": 0.05, + "learning_rate": 9.992069155922098e-06, + "loss": 1.1521, + "step": 1614 + }, + { + "epoch": 0.05, + "learning_rate": 9.992042347015738e-06, + "loss": 0.9582, + "step": 1615 + }, + { + "epoch": 0.05, + "learning_rate": 9.992015492910347e-06, + "loss": 1.0233, + "step": 1616 + }, + { + "epoch": 0.05, + "learning_rate": 9.991988593606174e-06, + "loss": 0.9106, + "step": 1617 + }, + { + "epoch": 0.05, + "learning_rate": 9.991961649103459e-06, + "loss": 0.7379, + "step": 1618 + }, + { + "epoch": 0.05, + "learning_rate": 9.991934659402447e-06, + "loss": 0.9036, + "step": 1619 + }, + { + "epoch": 0.05, + "learning_rate": 9.991907624503381e-06, + "loss": 0.5831, + "step": 1620 + }, + { + "epoch": 0.05, + "learning_rate": 9.991880544406509e-06, + "loss": 0.779, + "step": 1621 + }, + { + "epoch": 0.05, + "learning_rate": 9.991853419112071e-06, + "loss": 0.8, + "step": 1622 + }, + { + "epoch": 0.05, + "learning_rate": 9.991826248620319e-06, + "loss": 0.8707, + "step": 1623 + }, + { + "epoch": 0.05, + "learning_rate": 9.991799032931494e-06, + "loss": 0.9255, + "step": 1624 + }, + { + "epoch": 0.05, + "learning_rate": 9.991771772045844e-06, + "loss": 0.703, + "step": 1625 + }, + { + "epoch": 0.05, + "learning_rate": 9.991744465963617e-06, + "loss": 1.033, + "step": 1626 + }, + { + "epoch": 0.05, + "learning_rate": 9.991717114685059e-06, + "loss": 0.8739, + "step": 1627 + }, + { + "epoch": 0.05, + "learning_rate": 9.991689718210418e-06, + "loss": 0.6553, + "step": 1628 + }, + { + "epoch": 0.05, + "learning_rate": 9.991662276539942e-06, + "loss": 1.0961, + "step": 1629 + }, + { + "epoch": 0.05, + "learning_rate": 9.99163478967388e-06, + "loss": 0.7788, + "step": 1630 + }, + { + "epoch": 0.05, + "learning_rate": 9.991607257612477e-06, + "loss": 0.759, + "step": 1631 + }, + { + "epoch": 0.05, + "learning_rate": 9.991579680355988e-06, + "loss": 0.8224, + "step": 1632 + }, + { + "epoch": 0.05, + "learning_rate": 9.99155205790466e-06, + "loss": 0.7918, + "step": 1633 + }, + { + "epoch": 0.05, + "learning_rate": 9.991524390258743e-06, + "loss": 0.7981, + "step": 1634 + }, + { + "epoch": 0.05, + "learning_rate": 9.991496677418489e-06, + "loss": 0.8511, + "step": 1635 + }, + { + "epoch": 0.05, + "learning_rate": 9.991468919384147e-06, + "loss": 0.8402, + "step": 1636 + }, + { + "epoch": 0.05, + "learning_rate": 9.991441116155969e-06, + "loss": 0.9446, + "step": 1637 + }, + { + "epoch": 0.05, + "learning_rate": 9.991413267734205e-06, + "loss": 0.9299, + "step": 1638 + }, + { + "epoch": 0.05, + "learning_rate": 9.991385374119111e-06, + "loss": 0.9265, + "step": 1639 + }, + { + "epoch": 0.05, + "learning_rate": 9.991357435310938e-06, + "loss": 0.8491, + "step": 1640 + }, + { + "epoch": 0.05, + "learning_rate": 9.991329451309937e-06, + "loss": 0.8982, + "step": 1641 + }, + { + "epoch": 0.05, + "learning_rate": 9.991301422116364e-06, + "loss": 0.9362, + "step": 1642 + }, + { + "epoch": 0.05, + "learning_rate": 9.99127334773047e-06, + "loss": 0.8661, + "step": 1643 + }, + { + "epoch": 0.05, + "learning_rate": 9.991245228152514e-06, + "loss": 0.9631, + "step": 1644 + }, + { + "epoch": 0.05, + "learning_rate": 9.991217063382745e-06, + "loss": 0.7554, + "step": 1645 + }, + { + "epoch": 0.05, + "learning_rate": 9.991188853421421e-06, + "loss": 0.6773, + "step": 1646 + }, + { + "epoch": 0.05, + "learning_rate": 9.991160598268797e-06, + "loss": 0.94, + "step": 1647 + }, + { + "epoch": 0.05, + "learning_rate": 9.991132297925127e-06, + "loss": 0.9246, + "step": 1648 + }, + { + "epoch": 0.05, + "learning_rate": 9.991103952390671e-06, + "loss": 0.8059, + "step": 1649 + }, + { + "epoch": 0.05, + "learning_rate": 9.991075561665684e-06, + "loss": 0.7234, + "step": 1650 + }, + { + "epoch": 0.05, + "learning_rate": 9.99104712575042e-06, + "loss": 1.0253, + "step": 1651 + }, + { + "epoch": 0.05, + "learning_rate": 9.99101864464514e-06, + "loss": 0.8827, + "step": 1652 + }, + { + "epoch": 0.05, + "learning_rate": 9.990990118350104e-06, + "loss": 0.9031, + "step": 1653 + }, + { + "epoch": 0.05, + "learning_rate": 9.990961546865563e-06, + "loss": 0.8305, + "step": 1654 + }, + { + "epoch": 0.05, + "learning_rate": 9.990932930191783e-06, + "loss": 0.7275, + "step": 1655 + }, + { + "epoch": 0.05, + "learning_rate": 9.990904268329018e-06, + "loss": 0.8627, + "step": 1656 + }, + { + "epoch": 0.05, + "learning_rate": 9.99087556127753e-06, + "loss": 0.7916, + "step": 1657 + }, + { + "epoch": 0.05, + "learning_rate": 9.99084680903758e-06, + "loss": 0.9167, + "step": 1658 + }, + { + "epoch": 0.05, + "learning_rate": 9.990818011609425e-06, + "loss": 0.9401, + "step": 1659 + }, + { + "epoch": 0.05, + "learning_rate": 9.99078916899333e-06, + "loss": 0.8083, + "step": 1660 + }, + { + "epoch": 0.05, + "learning_rate": 9.990760281189551e-06, + "loss": 0.7568, + "step": 1661 + }, + { + "epoch": 0.05, + "learning_rate": 9.990731348198352e-06, + "loss": 0.8673, + "step": 1662 + }, + { + "epoch": 0.05, + "learning_rate": 9.990702370019997e-06, + "loss": 0.8894, + "step": 1663 + }, + { + "epoch": 0.05, + "learning_rate": 9.990673346654748e-06, + "loss": 0.8143, + "step": 1664 + }, + { + "epoch": 0.05, + "learning_rate": 9.990644278102862e-06, + "loss": 1.0643, + "step": 1665 + }, + { + "epoch": 0.05, + "learning_rate": 9.99061516436461e-06, + "loss": 0.8945, + "step": 1666 + }, + { + "epoch": 0.05, + "learning_rate": 9.990586005440251e-06, + "loss": 0.7297, + "step": 1667 + }, + { + "epoch": 0.05, + "learning_rate": 9.99055680133005e-06, + "loss": 0.7579, + "step": 1668 + }, + { + "epoch": 0.05, + "learning_rate": 9.99052755203427e-06, + "loss": 0.734, + "step": 1669 + }, + { + "epoch": 0.05, + "learning_rate": 9.990498257553181e-06, + "loss": 0.7894, + "step": 1670 + }, + { + "epoch": 0.05, + "learning_rate": 9.990468917887041e-06, + "loss": 0.8357, + "step": 1671 + }, + { + "epoch": 0.05, + "learning_rate": 9.990439533036123e-06, + "loss": 0.8066, + "step": 1672 + }, + { + "epoch": 0.05, + "learning_rate": 9.990410103000688e-06, + "loss": 0.9524, + "step": 1673 + }, + { + "epoch": 0.05, + "learning_rate": 9.990380627781002e-06, + "loss": 0.7302, + "step": 1674 + }, + { + "epoch": 0.05, + "learning_rate": 9.990351107377334e-06, + "loss": 0.8954, + "step": 1675 + }, + { + "epoch": 0.05, + "learning_rate": 9.990321541789953e-06, + "loss": 0.5642, + "step": 1676 + }, + { + "epoch": 0.05, + "learning_rate": 9.990291931019126e-06, + "loss": 0.9721, + "step": 1677 + }, + { + "epoch": 0.05, + "learning_rate": 9.990262275065116e-06, + "loss": 0.723, + "step": 1678 + }, + { + "epoch": 0.05, + "learning_rate": 9.990232573928196e-06, + "loss": 0.7726, + "step": 1679 + }, + { + "epoch": 0.05, + "learning_rate": 9.990202827608635e-06, + "loss": 0.8727, + "step": 1680 + }, + { + "epoch": 0.05, + "learning_rate": 9.990173036106703e-06, + "loss": 0.7906, + "step": 1681 + }, + { + "epoch": 0.05, + "learning_rate": 9.990143199422666e-06, + "loss": 0.8109, + "step": 1682 + }, + { + "epoch": 0.05, + "learning_rate": 9.990113317556797e-06, + "loss": 0.8132, + "step": 1683 + }, + { + "epoch": 0.05, + "learning_rate": 9.990083390509366e-06, + "loss": 0.7516, + "step": 1684 + }, + { + "epoch": 0.05, + "learning_rate": 9.990053418280645e-06, + "loss": 0.8406, + "step": 1685 + }, + { + "epoch": 0.05, + "learning_rate": 9.990023400870903e-06, + "loss": 0.5282, + "step": 1686 + }, + { + "epoch": 0.05, + "learning_rate": 9.989993338280416e-06, + "loss": 0.7449, + "step": 1687 + }, + { + "epoch": 0.05, + "learning_rate": 9.98996323050945e-06, + "loss": 0.8133, + "step": 1688 + }, + { + "epoch": 0.05, + "learning_rate": 9.989933077558281e-06, + "loss": 0.9649, + "step": 1689 + }, + { + "epoch": 0.05, + "learning_rate": 9.989902879427183e-06, + "loss": 0.9203, + "step": 1690 + }, + { + "epoch": 0.05, + "learning_rate": 9.989872636116428e-06, + "loss": 0.7474, + "step": 1691 + }, + { + "epoch": 0.05, + "learning_rate": 9.989842347626291e-06, + "loss": 0.7623, + "step": 1692 + }, + { + "epoch": 0.05, + "learning_rate": 9.989812013957045e-06, + "loss": 0.9875, + "step": 1693 + }, + { + "epoch": 0.05, + "learning_rate": 9.989781635108963e-06, + "loss": 1.0906, + "step": 1694 + }, + { + "epoch": 0.05, + "learning_rate": 9.989751211082326e-06, + "loss": 0.834, + "step": 1695 + }, + { + "epoch": 0.05, + "learning_rate": 9.989720741877402e-06, + "loss": 1.0682, + "step": 1696 + }, + { + "epoch": 0.05, + "learning_rate": 9.989690227494474e-06, + "loss": 1.0329, + "step": 1697 + }, + { + "epoch": 0.05, + "learning_rate": 9.989659667933812e-06, + "loss": 1.0543, + "step": 1698 + }, + { + "epoch": 0.05, + "learning_rate": 9.989629063195696e-06, + "loss": 0.7726, + "step": 1699 + }, + { + "epoch": 0.05, + "learning_rate": 9.989598413280402e-06, + "loss": 0.5965, + "step": 1700 + }, + { + "epoch": 0.05, + "learning_rate": 9.989567718188209e-06, + "loss": 0.7838, + "step": 1701 + }, + { + "epoch": 0.05, + "learning_rate": 9.989536977919394e-06, + "loss": 0.8256, + "step": 1702 + }, + { + "epoch": 0.05, + "learning_rate": 9.989506192474235e-06, + "loss": 0.8043, + "step": 1703 + }, + { + "epoch": 0.05, + "learning_rate": 9.989475361853012e-06, + "loss": 0.7639, + "step": 1704 + }, + { + "epoch": 0.05, + "learning_rate": 9.989444486056001e-06, + "loss": 0.877, + "step": 1705 + }, + { + "epoch": 0.05, + "learning_rate": 9.989413565083486e-06, + "loss": 0.9892, + "step": 1706 + }, + { + "epoch": 0.05, + "learning_rate": 9.989382598935742e-06, + "loss": 0.8487, + "step": 1707 + }, + { + "epoch": 0.05, + "learning_rate": 9.989351587613055e-06, + "loss": 0.9584, + "step": 1708 + }, + { + "epoch": 0.05, + "learning_rate": 9.989320531115702e-06, + "loss": 0.7812, + "step": 1709 + }, + { + "epoch": 0.05, + "learning_rate": 9.989289429443965e-06, + "loss": 0.7367, + "step": 1710 + }, + { + "epoch": 0.05, + "learning_rate": 9.989258282598124e-06, + "loss": 0.8717, + "step": 1711 + }, + { + "epoch": 0.05, + "learning_rate": 9.989227090578464e-06, + "loss": 0.921, + "step": 1712 + }, + { + "epoch": 0.05, + "learning_rate": 9.989195853385266e-06, + "loss": 0.8287, + "step": 1713 + }, + { + "epoch": 0.05, + "learning_rate": 9.989164571018814e-06, + "loss": 0.8062, + "step": 1714 + }, + { + "epoch": 0.05, + "learning_rate": 9.989133243479388e-06, + "loss": 0.7509, + "step": 1715 + }, + { + "epoch": 0.05, + "learning_rate": 9.989101870767275e-06, + "loss": 0.8559, + "step": 1716 + }, + { + "epoch": 0.05, + "learning_rate": 9.989070452882759e-06, + "loss": 0.9735, + "step": 1717 + }, + { + "epoch": 0.05, + "learning_rate": 9.989038989826122e-06, + "loss": 0.9764, + "step": 1718 + }, + { + "epoch": 0.05, + "learning_rate": 9.98900748159765e-06, + "loss": 0.768, + "step": 1719 + }, + { + "epoch": 0.05, + "learning_rate": 9.988975928197628e-06, + "loss": 0.8883, + "step": 1720 + }, + { + "epoch": 0.05, + "learning_rate": 9.988944329626341e-06, + "loss": 0.9349, + "step": 1721 + }, + { + "epoch": 0.05, + "learning_rate": 9.98891268588408e-06, + "loss": 0.756, + "step": 1722 + }, + { + "epoch": 0.05, + "learning_rate": 9.988880996971127e-06, + "loss": 0.672, + "step": 1723 + }, + { + "epoch": 0.05, + "learning_rate": 9.988849262887767e-06, + "loss": 1.0412, + "step": 1724 + }, + { + "epoch": 0.05, + "learning_rate": 9.988817483634293e-06, + "loss": 0.7123, + "step": 1725 + }, + { + "epoch": 0.05, + "learning_rate": 9.988785659210988e-06, + "loss": 0.895, + "step": 1726 + }, + { + "epoch": 0.05, + "learning_rate": 9.988753789618142e-06, + "loss": 0.9968, + "step": 1727 + }, + { + "epoch": 0.05, + "learning_rate": 9.988721874856044e-06, + "loss": 0.7112, + "step": 1728 + }, + { + "epoch": 0.05, + "learning_rate": 9.988689914924982e-06, + "loss": 0.7857, + "step": 1729 + }, + { + "epoch": 0.05, + "learning_rate": 9.988657909825245e-06, + "loss": 0.5934, + "step": 1730 + }, + { + "epoch": 0.05, + "learning_rate": 9.988625859557125e-06, + "loss": 0.8533, + "step": 1731 + }, + { + "epoch": 0.05, + "learning_rate": 9.98859376412091e-06, + "loss": 0.8507, + "step": 1732 + }, + { + "epoch": 0.05, + "learning_rate": 9.988561623516893e-06, + "loss": 0.6266, + "step": 1733 + }, + { + "epoch": 0.05, + "learning_rate": 9.98852943774536e-06, + "loss": 0.7791, + "step": 1734 + }, + { + "epoch": 0.05, + "learning_rate": 9.988497206806609e-06, + "loss": 0.4882, + "step": 1735 + }, + { + "epoch": 0.05, + "learning_rate": 9.988464930700928e-06, + "loss": 0.993, + "step": 1736 + }, + { + "epoch": 0.05, + "learning_rate": 9.988432609428608e-06, + "loss": 0.6879, + "step": 1737 + }, + { + "epoch": 0.05, + "learning_rate": 9.988400242989943e-06, + "loss": 0.9233, + "step": 1738 + }, + { + "epoch": 0.05, + "learning_rate": 9.988367831385229e-06, + "loss": 0.8404, + "step": 1739 + }, + { + "epoch": 0.05, + "learning_rate": 9.988335374614757e-06, + "loss": 1.0024, + "step": 1740 + }, + { + "epoch": 0.05, + "learning_rate": 9.98830287267882e-06, + "loss": 0.6615, + "step": 1741 + }, + { + "epoch": 0.05, + "learning_rate": 9.988270325577713e-06, + "loss": 0.763, + "step": 1742 + }, + { + "epoch": 0.05, + "learning_rate": 9.988237733311732e-06, + "loss": 0.8843, + "step": 1743 + }, + { + "epoch": 0.05, + "learning_rate": 9.988205095881169e-06, + "loss": 0.8835, + "step": 1744 + }, + { + "epoch": 0.05, + "learning_rate": 9.988172413286324e-06, + "loss": 0.6408, + "step": 1745 + }, + { + "epoch": 0.05, + "learning_rate": 9.988139685527486e-06, + "loss": 0.7316, + "step": 1746 + }, + { + "epoch": 0.05, + "learning_rate": 9.988106912604961e-06, + "loss": 0.8612, + "step": 1747 + }, + { + "epoch": 0.05, + "learning_rate": 9.988074094519037e-06, + "loss": 0.9352, + "step": 1748 + }, + { + "epoch": 0.05, + "learning_rate": 9.988041231270016e-06, + "loss": 0.7731, + "step": 1749 + }, + { + "epoch": 0.05, + "learning_rate": 9.988008322858192e-06, + "loss": 0.993, + "step": 1750 + }, + { + "epoch": 0.05, + "learning_rate": 9.987975369283866e-06, + "loss": 0.6792, + "step": 1751 + }, + { + "epoch": 0.05, + "learning_rate": 9.987942370547337e-06, + "loss": 0.764, + "step": 1752 + }, + { + "epoch": 0.05, + "learning_rate": 9.9879093266489e-06, + "loss": 0.7596, + "step": 1753 + }, + { + "epoch": 0.05, + "learning_rate": 9.98787623758886e-06, + "loss": 0.6657, + "step": 1754 + }, + { + "epoch": 0.05, + "learning_rate": 9.987843103367509e-06, + "loss": 0.5216, + "step": 1755 + }, + { + "epoch": 0.05, + "learning_rate": 9.987809923985153e-06, + "loss": 0.8323, + "step": 1756 + }, + { + "epoch": 0.05, + "learning_rate": 9.987776699442092e-06, + "loss": 0.7284, + "step": 1757 + }, + { + "epoch": 0.05, + "learning_rate": 9.98774342973862e-06, + "loss": 1.0287, + "step": 1758 + }, + { + "epoch": 0.05, + "learning_rate": 9.987710114875049e-06, + "loss": 1.1301, + "step": 1759 + }, + { + "epoch": 0.05, + "learning_rate": 9.987676754851672e-06, + "loss": 0.7495, + "step": 1760 + }, + { + "epoch": 0.05, + "learning_rate": 9.987643349668796e-06, + "loss": 0.5771, + "step": 1761 + }, + { + "epoch": 0.05, + "learning_rate": 9.98760989932672e-06, + "loss": 0.9667, + "step": 1762 + }, + { + "epoch": 0.05, + "learning_rate": 9.98757640382575e-06, + "loss": 1.0061, + "step": 1763 + }, + { + "epoch": 0.05, + "learning_rate": 9.987542863166186e-06, + "loss": 0.924, + "step": 1764 + }, + { + "epoch": 0.05, + "learning_rate": 9.987509277348335e-06, + "loss": 0.8001, + "step": 1765 + }, + { + "epoch": 0.05, + "learning_rate": 9.987475646372498e-06, + "loss": 0.661, + "step": 1766 + }, + { + "epoch": 0.05, + "learning_rate": 9.987441970238983e-06, + "loss": 0.8784, + "step": 1767 + }, + { + "epoch": 0.05, + "learning_rate": 9.987408248948091e-06, + "loss": 0.8933, + "step": 1768 + }, + { + "epoch": 0.05, + "learning_rate": 9.987374482500129e-06, + "loss": 0.968, + "step": 1769 + }, + { + "epoch": 0.05, + "learning_rate": 9.987340670895405e-06, + "loss": 0.9071, + "step": 1770 + }, + { + "epoch": 0.05, + "learning_rate": 9.987306814134223e-06, + "loss": 0.9175, + "step": 1771 + }, + { + "epoch": 0.05, + "learning_rate": 9.987272912216888e-06, + "loss": 0.6427, + "step": 1772 + }, + { + "epoch": 0.05, + "learning_rate": 9.98723896514371e-06, + "loss": 0.9578, + "step": 1773 + }, + { + "epoch": 0.05, + "learning_rate": 9.987204972914995e-06, + "loss": 0.7014, + "step": 1774 + }, + { + "epoch": 0.05, + "learning_rate": 9.987170935531049e-06, + "loss": 1.0939, + "step": 1775 + }, + { + "epoch": 0.05, + "learning_rate": 9.987136852992183e-06, + "loss": 0.8472, + "step": 1776 + }, + { + "epoch": 0.05, + "learning_rate": 9.987102725298705e-06, + "loss": 1.2161, + "step": 1777 + }, + { + "epoch": 0.05, + "learning_rate": 9.987068552450925e-06, + "loss": 0.7274, + "step": 1778 + }, + { + "epoch": 0.05, + "learning_rate": 9.987034334449149e-06, + "loss": 0.9789, + "step": 1779 + }, + { + "epoch": 0.05, + "learning_rate": 9.987000071293689e-06, + "loss": 0.8883, + "step": 1780 + }, + { + "epoch": 0.05, + "learning_rate": 9.986965762984855e-06, + "loss": 0.7209, + "step": 1781 + }, + { + "epoch": 0.05, + "learning_rate": 9.986931409522958e-06, + "loss": 0.8214, + "step": 1782 + }, + { + "epoch": 0.05, + "learning_rate": 9.986897010908308e-06, + "loss": 0.949, + "step": 1783 + }, + { + "epoch": 0.05, + "learning_rate": 9.986862567141217e-06, + "loss": 0.6859, + "step": 1784 + }, + { + "epoch": 0.05, + "learning_rate": 9.986828078221997e-06, + "loss": 0.7173, + "step": 1785 + }, + { + "epoch": 0.05, + "learning_rate": 9.986793544150962e-06, + "loss": 0.6782, + "step": 1786 + }, + { + "epoch": 0.05, + "learning_rate": 9.98675896492842e-06, + "loss": 0.9796, + "step": 1787 + }, + { + "epoch": 0.05, + "learning_rate": 9.98672434055469e-06, + "loss": 0.7139, + "step": 1788 + }, + { + "epoch": 0.05, + "learning_rate": 9.98668967103008e-06, + "loss": 0.6892, + "step": 1789 + }, + { + "epoch": 0.05, + "learning_rate": 9.986654956354909e-06, + "loss": 0.9049, + "step": 1790 + }, + { + "epoch": 0.05, + "learning_rate": 9.986620196529486e-06, + "loss": 0.9652, + "step": 1791 + }, + { + "epoch": 0.05, + "learning_rate": 9.986585391554132e-06, + "loss": 0.748, + "step": 1792 + }, + { + "epoch": 0.05, + "learning_rate": 9.986550541429154e-06, + "loss": 0.825, + "step": 1793 + }, + { + "epoch": 0.05, + "learning_rate": 9.986515646154875e-06, + "loss": 0.7157, + "step": 1794 + }, + { + "epoch": 0.05, + "learning_rate": 9.986480705731608e-06, + "loss": 0.6412, + "step": 1795 + }, + { + "epoch": 0.05, + "learning_rate": 9.98644572015967e-06, + "loss": 1.0476, + "step": 1796 + }, + { + "epoch": 0.05, + "learning_rate": 9.986410689439375e-06, + "loss": 0.8579, + "step": 1797 + }, + { + "epoch": 0.05, + "learning_rate": 9.986375613571044e-06, + "loss": 0.753, + "step": 1798 + }, + { + "epoch": 0.05, + "learning_rate": 9.986340492554992e-06, + "loss": 0.9427, + "step": 1799 + }, + { + "epoch": 0.05, + "learning_rate": 9.986305326391539e-06, + "loss": 0.9469, + "step": 1800 + }, + { + "epoch": 0.05, + "learning_rate": 9.986270115081002e-06, + "loss": 1.2681, + "step": 1801 + }, + { + "epoch": 0.05, + "learning_rate": 9.9862348586237e-06, + "loss": 0.6637, + "step": 1802 + }, + { + "epoch": 0.05, + "learning_rate": 9.986199557019954e-06, + "loss": 0.7899, + "step": 1803 + }, + { + "epoch": 0.05, + "learning_rate": 9.986164210270079e-06, + "loss": 0.8961, + "step": 1804 + }, + { + "epoch": 0.05, + "learning_rate": 9.9861288183744e-06, + "loss": 0.7025, + "step": 1805 + }, + { + "epoch": 0.05, + "learning_rate": 9.986093381333235e-06, + "loss": 0.9213, + "step": 1806 + }, + { + "epoch": 0.05, + "learning_rate": 9.986057899146907e-06, + "loss": 0.6389, + "step": 1807 + }, + { + "epoch": 0.05, + "learning_rate": 9.986022371815733e-06, + "loss": 0.9628, + "step": 1808 + }, + { + "epoch": 0.05, + "learning_rate": 9.985986799340038e-06, + "loss": 0.9999, + "step": 1809 + }, + { + "epoch": 0.05, + "learning_rate": 9.985951181720144e-06, + "loss": 0.8342, + "step": 1810 + }, + { + "epoch": 0.05, + "learning_rate": 9.985915518956373e-06, + "loss": 0.7475, + "step": 1811 + }, + { + "epoch": 0.05, + "learning_rate": 9.985879811049046e-06, + "loss": 1.1057, + "step": 1812 + }, + { + "epoch": 0.05, + "learning_rate": 9.985844057998491e-06, + "loss": 0.7978, + "step": 1813 + }, + { + "epoch": 0.05, + "learning_rate": 9.985808259805026e-06, + "loss": 0.7635, + "step": 1814 + }, + { + "epoch": 0.05, + "learning_rate": 9.98577241646898e-06, + "loss": 0.9709, + "step": 1815 + }, + { + "epoch": 0.05, + "learning_rate": 9.985736527990674e-06, + "loss": 0.6258, + "step": 1816 + }, + { + "epoch": 0.05, + "learning_rate": 9.985700594370436e-06, + "loss": 0.9155, + "step": 1817 + }, + { + "epoch": 0.05, + "learning_rate": 9.985664615608587e-06, + "loss": 0.9538, + "step": 1818 + }, + { + "epoch": 0.05, + "learning_rate": 9.985628591705458e-06, + "loss": 0.6805, + "step": 1819 + }, + { + "epoch": 0.05, + "learning_rate": 9.985592522661371e-06, + "loss": 0.8194, + "step": 1820 + }, + { + "epoch": 0.05, + "learning_rate": 9.985556408476656e-06, + "loss": 0.6933, + "step": 1821 + }, + { + "epoch": 0.05, + "learning_rate": 9.985520249151637e-06, + "loss": 0.836, + "step": 1822 + }, + { + "epoch": 0.05, + "learning_rate": 9.985484044686644e-06, + "loss": 0.7922, + "step": 1823 + }, + { + "epoch": 0.05, + "learning_rate": 9.985447795082002e-06, + "loss": 0.824, + "step": 1824 + }, + { + "epoch": 0.05, + "learning_rate": 9.985411500338041e-06, + "loss": 0.5505, + "step": 1825 + }, + { + "epoch": 0.05, + "learning_rate": 9.98537516045509e-06, + "loss": 0.786, + "step": 1826 + }, + { + "epoch": 0.05, + "learning_rate": 9.985338775433476e-06, + "loss": 1.0132, + "step": 1827 + }, + { + "epoch": 0.05, + "learning_rate": 9.985302345273531e-06, + "loss": 0.6384, + "step": 1828 + }, + { + "epoch": 0.05, + "learning_rate": 9.985265869975582e-06, + "loss": 0.9508, + "step": 1829 + }, + { + "epoch": 0.05, + "learning_rate": 9.985229349539962e-06, + "loss": 0.9759, + "step": 1830 + }, + { + "epoch": 0.05, + "learning_rate": 9.985192783967001e-06, + "loss": 0.7564, + "step": 1831 + }, + { + "epoch": 0.05, + "learning_rate": 9.985156173257029e-06, + "loss": 0.9298, + "step": 1832 + }, + { + "epoch": 0.05, + "learning_rate": 9.985119517410378e-06, + "loss": 0.9835, + "step": 1833 + }, + { + "epoch": 0.05, + "learning_rate": 9.985082816427378e-06, + "loss": 0.9452, + "step": 1834 + }, + { + "epoch": 0.05, + "learning_rate": 9.985046070308365e-06, + "loss": 0.9734, + "step": 1835 + }, + { + "epoch": 0.05, + "learning_rate": 9.98500927905367e-06, + "loss": 0.7195, + "step": 1836 + }, + { + "epoch": 0.05, + "learning_rate": 9.984972442663628e-06, + "loss": 0.5512, + "step": 1837 + }, + { + "epoch": 0.05, + "learning_rate": 9.984935561138567e-06, + "loss": 0.7913, + "step": 1838 + }, + { + "epoch": 0.05, + "learning_rate": 9.984898634478828e-06, + "loss": 0.9682, + "step": 1839 + }, + { + "epoch": 0.05, + "learning_rate": 9.984861662684739e-06, + "loss": 0.7346, + "step": 1840 + }, + { + "epoch": 0.05, + "learning_rate": 9.984824645756638e-06, + "loss": 0.8252, + "step": 1841 + }, + { + "epoch": 0.05, + "learning_rate": 9.98478758369486e-06, + "loss": 0.9449, + "step": 1842 + }, + { + "epoch": 0.05, + "learning_rate": 9.984750476499741e-06, + "loss": 0.4891, + "step": 1843 + }, + { + "epoch": 0.05, + "learning_rate": 9.984713324171615e-06, + "loss": 0.6302, + "step": 1844 + }, + { + "epoch": 0.05, + "learning_rate": 9.984676126710822e-06, + "loss": 0.7889, + "step": 1845 + }, + { + "epoch": 0.05, + "learning_rate": 9.984638884117694e-06, + "loss": 1.1295, + "step": 1846 + }, + { + "epoch": 0.05, + "learning_rate": 9.984601596392573e-06, + "loss": 0.7658, + "step": 1847 + }, + { + "epoch": 0.05, + "learning_rate": 9.984564263535791e-06, + "loss": 0.9514, + "step": 1848 + }, + { + "epoch": 0.05, + "learning_rate": 9.984526885547695e-06, + "loss": 0.852, + "step": 1849 + }, + { + "epoch": 0.05, + "learning_rate": 9.984489462428612e-06, + "loss": 0.8799, + "step": 1850 + }, + { + "epoch": 0.05, + "learning_rate": 9.984451994178889e-06, + "loss": 0.784, + "step": 1851 + }, + { + "epoch": 0.05, + "learning_rate": 9.984414480798863e-06, + "loss": 0.6807, + "step": 1852 + }, + { + "epoch": 0.05, + "learning_rate": 9.984376922288873e-06, + "loss": 0.6935, + "step": 1853 + }, + { + "epoch": 0.05, + "learning_rate": 9.98433931864926e-06, + "loss": 0.9675, + "step": 1854 + }, + { + "epoch": 0.05, + "learning_rate": 9.984301669880363e-06, + "loss": 0.9358, + "step": 1855 + }, + { + "epoch": 0.05, + "learning_rate": 9.984263975982525e-06, + "loss": 0.6131, + "step": 1856 + }, + { + "epoch": 0.05, + "learning_rate": 9.984226236956086e-06, + "loss": 0.7612, + "step": 1857 + }, + { + "epoch": 0.05, + "learning_rate": 9.984188452801388e-06, + "loss": 1.001, + "step": 1858 + }, + { + "epoch": 0.05, + "learning_rate": 9.984150623518772e-06, + "loss": 0.7988, + "step": 1859 + }, + { + "epoch": 0.05, + "learning_rate": 9.984112749108584e-06, + "loss": 0.6719, + "step": 1860 + }, + { + "epoch": 0.05, + "learning_rate": 9.98407482957116e-06, + "loss": 0.8945, + "step": 1861 + }, + { + "epoch": 0.05, + "learning_rate": 9.984036864906852e-06, + "loss": 0.5254, + "step": 1862 + }, + { + "epoch": 0.05, + "learning_rate": 9.983998855115997e-06, + "loss": 1.0252, + "step": 1863 + }, + { + "epoch": 0.05, + "learning_rate": 9.983960800198942e-06, + "loss": 0.7971, + "step": 1864 + }, + { + "epoch": 0.05, + "learning_rate": 9.983922700156033e-06, + "loss": 1.022, + "step": 1865 + }, + { + "epoch": 0.05, + "learning_rate": 9.983884554987612e-06, + "loss": 1.0328, + "step": 1866 + }, + { + "epoch": 0.05, + "learning_rate": 9.983846364694025e-06, + "loss": 0.8744, + "step": 1867 + }, + { + "epoch": 0.05, + "learning_rate": 9.983808129275618e-06, + "loss": 0.857, + "step": 1868 + }, + { + "epoch": 0.05, + "learning_rate": 9.983769848732738e-06, + "loss": 0.7651, + "step": 1869 + }, + { + "epoch": 0.05, + "learning_rate": 9.983731523065732e-06, + "loss": 0.7372, + "step": 1870 + }, + { + "epoch": 0.05, + "learning_rate": 9.983693152274946e-06, + "loss": 0.9313, + "step": 1871 + }, + { + "epoch": 0.05, + "learning_rate": 9.983654736360727e-06, + "loss": 0.7136, + "step": 1872 + }, + { + "epoch": 0.06, + "learning_rate": 9.983616275323424e-06, + "loss": 0.6733, + "step": 1873 + }, + { + "epoch": 0.06, + "learning_rate": 9.983577769163385e-06, + "loss": 0.6581, + "step": 1874 + }, + { + "epoch": 0.06, + "learning_rate": 9.983539217880957e-06, + "loss": 0.9965, + "step": 1875 + }, + { + "epoch": 0.06, + "learning_rate": 9.98350062147649e-06, + "loss": 0.6383, + "step": 1876 + }, + { + "epoch": 0.06, + "learning_rate": 9.983461979950335e-06, + "loss": 0.9661, + "step": 1877 + }, + { + "epoch": 0.06, + "learning_rate": 9.98342329330284e-06, + "loss": 0.5382, + "step": 1878 + }, + { + "epoch": 0.06, + "learning_rate": 9.983384561534354e-06, + "loss": 1.0936, + "step": 1879 + }, + { + "epoch": 0.06, + "learning_rate": 9.983345784645233e-06, + "loss": 0.6752, + "step": 1880 + }, + { + "epoch": 0.06, + "learning_rate": 9.983306962635824e-06, + "loss": 1.1768, + "step": 1881 + }, + { + "epoch": 0.06, + "learning_rate": 9.983268095506477e-06, + "loss": 0.8154, + "step": 1882 + }, + { + "epoch": 0.06, + "learning_rate": 9.983229183257549e-06, + "loss": 0.8086, + "step": 1883 + }, + { + "epoch": 0.06, + "learning_rate": 9.983190225889388e-06, + "loss": 0.6092, + "step": 1884 + }, + { + "epoch": 0.06, + "learning_rate": 9.983151223402347e-06, + "loss": 0.8514, + "step": 1885 + }, + { + "epoch": 0.06, + "learning_rate": 9.983112175796783e-06, + "loss": 1.0852, + "step": 1886 + }, + { + "epoch": 0.06, + "learning_rate": 9.983073083073045e-06, + "loss": 0.6986, + "step": 1887 + }, + { + "epoch": 0.06, + "learning_rate": 9.983033945231489e-06, + "loss": 0.8132, + "step": 1888 + }, + { + "epoch": 0.06, + "learning_rate": 9.982994762272469e-06, + "loss": 1.0029, + "step": 1889 + }, + { + "epoch": 0.06, + "learning_rate": 9.98295553419634e-06, + "loss": 0.6927, + "step": 1890 + }, + { + "epoch": 0.06, + "learning_rate": 9.982916261003456e-06, + "loss": 0.9261, + "step": 1891 + }, + { + "epoch": 0.06, + "learning_rate": 9.982876942694177e-06, + "loss": 0.8354, + "step": 1892 + }, + { + "epoch": 0.06, + "learning_rate": 9.982837579268853e-06, + "loss": 0.746, + "step": 1893 + }, + { + "epoch": 0.06, + "learning_rate": 9.982798170727844e-06, + "loss": 0.8351, + "step": 1894 + }, + { + "epoch": 0.06, + "learning_rate": 9.982758717071505e-06, + "loss": 0.9592, + "step": 1895 + }, + { + "epoch": 0.06, + "learning_rate": 9.982719218300196e-06, + "loss": 0.7998, + "step": 1896 + }, + { + "epoch": 0.06, + "learning_rate": 9.982679674414271e-06, + "loss": 0.8828, + "step": 1897 + }, + { + "epoch": 0.06, + "learning_rate": 9.98264008541409e-06, + "loss": 0.9565, + "step": 1898 + }, + { + "epoch": 0.06, + "learning_rate": 9.982600451300013e-06, + "loss": 0.7656, + "step": 1899 + }, + { + "epoch": 0.06, + "learning_rate": 9.982560772072395e-06, + "loss": 0.9022, + "step": 1900 + }, + { + "epoch": 0.06, + "learning_rate": 9.982521047731598e-06, + "loss": 1.1342, + "step": 1901 + }, + { + "epoch": 0.06, + "learning_rate": 9.982481278277982e-06, + "loss": 1.1655, + "step": 1902 + }, + { + "epoch": 0.06, + "learning_rate": 9.982441463711905e-06, + "loss": 0.5791, + "step": 1903 + }, + { + "epoch": 0.06, + "learning_rate": 9.982401604033729e-06, + "loss": 0.9992, + "step": 1904 + }, + { + "epoch": 0.06, + "learning_rate": 9.982361699243814e-06, + "loss": 0.7108, + "step": 1905 + }, + { + "epoch": 0.06, + "learning_rate": 9.982321749342522e-06, + "loss": 0.8246, + "step": 1906 + }, + { + "epoch": 0.06, + "learning_rate": 9.982281754330215e-06, + "loss": 0.7601, + "step": 1907 + }, + { + "epoch": 0.06, + "learning_rate": 9.982241714207254e-06, + "loss": 0.5689, + "step": 1908 + }, + { + "epoch": 0.06, + "learning_rate": 9.982201628974002e-06, + "loss": 0.5982, + "step": 1909 + }, + { + "epoch": 0.06, + "learning_rate": 9.982161498630822e-06, + "loss": 0.7239, + "step": 1910 + }, + { + "epoch": 0.06, + "learning_rate": 9.98212132317808e-06, + "loss": 0.6563, + "step": 1911 + }, + { + "epoch": 0.06, + "learning_rate": 9.982081102616134e-06, + "loss": 1.0547, + "step": 1912 + }, + { + "epoch": 0.06, + "learning_rate": 9.982040836945354e-06, + "loss": 0.8155, + "step": 1913 + }, + { + "epoch": 0.06, + "learning_rate": 9.9820005261661e-06, + "loss": 0.8767, + "step": 1914 + }, + { + "epoch": 0.06, + "learning_rate": 9.98196017027874e-06, + "loss": 0.6355, + "step": 1915 + }, + { + "epoch": 0.06, + "learning_rate": 9.981919769283638e-06, + "loss": 0.8186, + "step": 1916 + }, + { + "epoch": 0.06, + "learning_rate": 9.98187932318116e-06, + "loss": 0.8453, + "step": 1917 + }, + { + "epoch": 0.06, + "learning_rate": 9.981838831971674e-06, + "loss": 0.5454, + "step": 1918 + }, + { + "epoch": 0.06, + "learning_rate": 9.981798295655542e-06, + "loss": 0.7019, + "step": 1919 + }, + { + "epoch": 0.06, + "learning_rate": 9.981757714233135e-06, + "loss": 0.7438, + "step": 1920 + }, + { + "epoch": 0.06, + "learning_rate": 9.981717087704822e-06, + "loss": 0.8616, + "step": 1921 + }, + { + "epoch": 0.06, + "learning_rate": 9.981676416070965e-06, + "loss": 1.0647, + "step": 1922 + }, + { + "epoch": 0.06, + "learning_rate": 9.981635699331936e-06, + "loss": 0.8594, + "step": 1923 + }, + { + "epoch": 0.06, + "learning_rate": 9.981594937488104e-06, + "loss": 0.7987, + "step": 1924 + }, + { + "epoch": 0.06, + "learning_rate": 9.981554130539838e-06, + "loss": 0.7791, + "step": 1925 + }, + { + "epoch": 0.06, + "learning_rate": 9.981513278487504e-06, + "loss": 1.1486, + "step": 1926 + }, + { + "epoch": 0.06, + "learning_rate": 9.98147238133148e-06, + "loss": 0.6851, + "step": 1927 + }, + { + "epoch": 0.06, + "learning_rate": 9.981431439072124e-06, + "loss": 0.6178, + "step": 1928 + }, + { + "epoch": 0.06, + "learning_rate": 9.981390451709818e-06, + "loss": 0.7787, + "step": 1929 + }, + { + "epoch": 0.06, + "learning_rate": 9.981349419244928e-06, + "loss": 0.6417, + "step": 1930 + }, + { + "epoch": 0.06, + "learning_rate": 9.981308341677826e-06, + "loss": 0.6075, + "step": 1931 + }, + { + "epoch": 0.06, + "learning_rate": 9.981267219008883e-06, + "loss": 0.7378, + "step": 1932 + }, + { + "epoch": 0.06, + "learning_rate": 9.981226051238474e-06, + "loss": 0.67, + "step": 1933 + }, + { + "epoch": 0.06, + "learning_rate": 9.98118483836697e-06, + "loss": 0.7257, + "step": 1934 + }, + { + "epoch": 0.06, + "learning_rate": 9.981143580394744e-06, + "loss": 0.8854, + "step": 1935 + }, + { + "epoch": 0.06, + "learning_rate": 9.98110227732217e-06, + "loss": 0.9396, + "step": 1936 + }, + { + "epoch": 0.06, + "learning_rate": 9.981060929149623e-06, + "loss": 0.7467, + "step": 1937 + }, + { + "epoch": 0.06, + "learning_rate": 9.981019535877475e-06, + "loss": 0.8039, + "step": 1938 + }, + { + "epoch": 0.06, + "learning_rate": 9.9809780975061e-06, + "loss": 0.9009, + "step": 1939 + }, + { + "epoch": 0.06, + "learning_rate": 9.980936614035879e-06, + "loss": 0.7538, + "step": 1940 + }, + { + "epoch": 0.06, + "learning_rate": 9.980895085467182e-06, + "loss": 0.7233, + "step": 1941 + }, + { + "epoch": 0.06, + "learning_rate": 9.980853511800386e-06, + "loss": 0.8926, + "step": 1942 + }, + { + "epoch": 0.06, + "learning_rate": 9.98081189303587e-06, + "loss": 0.8271, + "step": 1943 + }, + { + "epoch": 0.06, + "learning_rate": 9.980770229174009e-06, + "loss": 0.839, + "step": 1944 + }, + { + "epoch": 0.06, + "learning_rate": 9.980728520215179e-06, + "loss": 0.8439, + "step": 1945 + }, + { + "epoch": 0.06, + "learning_rate": 9.98068676615976e-06, + "loss": 0.716, + "step": 1946 + }, + { + "epoch": 0.06, + "learning_rate": 9.980644967008128e-06, + "loss": 0.752, + "step": 1947 + }, + { + "epoch": 0.06, + "learning_rate": 9.980603122760663e-06, + "loss": 0.8548, + "step": 1948 + }, + { + "epoch": 0.06, + "learning_rate": 9.980561233417744e-06, + "loss": 0.5856, + "step": 1949 + }, + { + "epoch": 0.06, + "learning_rate": 9.98051929897975e-06, + "loss": 0.8999, + "step": 1950 + }, + { + "epoch": 0.06, + "learning_rate": 9.980477319447059e-06, + "loss": 0.746, + "step": 1951 + }, + { + "epoch": 0.06, + "learning_rate": 9.980435294820054e-06, + "loss": 0.7997, + "step": 1952 + }, + { + "epoch": 0.06, + "learning_rate": 9.980393225099112e-06, + "loss": 0.745, + "step": 1953 + }, + { + "epoch": 0.06, + "learning_rate": 9.980351110284616e-06, + "loss": 0.6778, + "step": 1954 + }, + { + "epoch": 0.06, + "learning_rate": 9.980308950376949e-06, + "loss": 0.8379, + "step": 1955 + }, + { + "epoch": 0.06, + "learning_rate": 9.98026674537649e-06, + "loss": 0.8134, + "step": 1956 + }, + { + "epoch": 0.06, + "learning_rate": 9.98022449528362e-06, + "loss": 0.8799, + "step": 1957 + }, + { + "epoch": 0.06, + "learning_rate": 9.980182200098725e-06, + "loss": 0.7799, + "step": 1958 + }, + { + "epoch": 0.06, + "learning_rate": 9.980139859822187e-06, + "loss": 0.6843, + "step": 1959 + }, + { + "epoch": 0.06, + "learning_rate": 9.980097474454389e-06, + "loss": 0.6945, + "step": 1960 + }, + { + "epoch": 0.06, + "learning_rate": 9.980055043995713e-06, + "loss": 0.7549, + "step": 1961 + }, + { + "epoch": 0.06, + "learning_rate": 9.980012568446547e-06, + "loss": 0.9782, + "step": 1962 + }, + { + "epoch": 0.06, + "learning_rate": 9.979970047807272e-06, + "loss": 0.7497, + "step": 1963 + }, + { + "epoch": 0.06, + "learning_rate": 9.979927482078275e-06, + "loss": 0.6169, + "step": 1964 + }, + { + "epoch": 0.06, + "learning_rate": 9.97988487125994e-06, + "loss": 0.9725, + "step": 1965 + }, + { + "epoch": 0.06, + "learning_rate": 9.979842215352654e-06, + "loss": 0.7696, + "step": 1966 + }, + { + "epoch": 0.06, + "learning_rate": 9.979799514356801e-06, + "loss": 0.7194, + "step": 1967 + }, + { + "epoch": 0.06, + "learning_rate": 9.979756768272773e-06, + "loss": 0.7903, + "step": 1968 + }, + { + "epoch": 0.06, + "learning_rate": 9.979713977100949e-06, + "loss": 0.972, + "step": 1969 + }, + { + "epoch": 0.06, + "learning_rate": 9.979671140841724e-06, + "loss": 0.7772, + "step": 1970 + }, + { + "epoch": 0.06, + "learning_rate": 9.979628259495482e-06, + "loss": 0.7353, + "step": 1971 + }, + { + "epoch": 0.06, + "learning_rate": 9.979585333062612e-06, + "loss": 0.918, + "step": 1972 + }, + { + "epoch": 0.06, + "learning_rate": 9.979542361543503e-06, + "loss": 0.6274, + "step": 1973 + }, + { + "epoch": 0.06, + "learning_rate": 9.979499344938544e-06, + "loss": 0.8968, + "step": 1974 + }, + { + "epoch": 0.06, + "learning_rate": 9.979456283248122e-06, + "loss": 0.7784, + "step": 1975 + }, + { + "epoch": 0.06, + "learning_rate": 9.97941317647263e-06, + "loss": 0.8094, + "step": 1976 + }, + { + "epoch": 0.06, + "learning_rate": 9.979370024612458e-06, + "loss": 1.0972, + "step": 1977 + }, + { + "epoch": 0.06, + "learning_rate": 9.979326827667996e-06, + "loss": 0.8124, + "step": 1978 + }, + { + "epoch": 0.06, + "learning_rate": 9.979283585639635e-06, + "loss": 0.7172, + "step": 1979 + }, + { + "epoch": 0.06, + "learning_rate": 9.979240298527769e-06, + "loss": 0.7683, + "step": 1980 + }, + { + "epoch": 0.06, + "learning_rate": 9.979196966332784e-06, + "loss": 0.7464, + "step": 1981 + }, + { + "epoch": 0.06, + "learning_rate": 9.979153589055078e-06, + "loss": 0.7287, + "step": 1982 + }, + { + "epoch": 0.06, + "learning_rate": 9.97911016669504e-06, + "loss": 0.8036, + "step": 1983 + }, + { + "epoch": 0.06, + "learning_rate": 9.979066699253067e-06, + "loss": 0.8806, + "step": 1984 + }, + { + "epoch": 0.06, + "learning_rate": 9.97902318672955e-06, + "loss": 0.7985, + "step": 1985 + }, + { + "epoch": 0.06, + "learning_rate": 9.978979629124883e-06, + "loss": 0.8587, + "step": 1986 + }, + { + "epoch": 0.06, + "learning_rate": 9.978936026439461e-06, + "loss": 0.4934, + "step": 1987 + }, + { + "epoch": 0.06, + "learning_rate": 9.978892378673677e-06, + "loss": 0.8766, + "step": 1988 + }, + { + "epoch": 0.06, + "learning_rate": 9.97884868582793e-06, + "loss": 1.046, + "step": 1989 + }, + { + "epoch": 0.06, + "learning_rate": 9.978804947902612e-06, + "loss": 0.8794, + "step": 1990 + }, + { + "epoch": 0.06, + "learning_rate": 9.978761164898121e-06, + "loss": 0.7944, + "step": 1991 + }, + { + "epoch": 0.06, + "learning_rate": 9.978717336814853e-06, + "loss": 0.9093, + "step": 1992 + }, + { + "epoch": 0.06, + "learning_rate": 9.978673463653205e-06, + "loss": 0.8561, + "step": 1993 + }, + { + "epoch": 0.06, + "learning_rate": 9.978629545413574e-06, + "loss": 0.8712, + "step": 1994 + }, + { + "epoch": 0.06, + "learning_rate": 9.978585582096356e-06, + "loss": 0.724, + "step": 1995 + }, + { + "epoch": 0.06, + "learning_rate": 9.978541573701952e-06, + "loss": 0.7082, + "step": 1996 + }, + { + "epoch": 0.06, + "learning_rate": 9.978497520230758e-06, + "loss": 0.6844, + "step": 1997 + }, + { + "epoch": 0.06, + "learning_rate": 9.978453421683173e-06, + "loss": 0.7949, + "step": 1998 + }, + { + "epoch": 0.06, + "learning_rate": 9.978409278059599e-06, + "loss": 0.7173, + "step": 1999 + }, + { + "epoch": 0.06, + "learning_rate": 9.978365089360434e-06, + "loss": 0.8742, + "step": 2000 + }, + { + "epoch": 0.06, + "learning_rate": 9.97832085558608e-06, + "loss": 0.7426, + "step": 2001 + }, + { + "epoch": 0.06, + "learning_rate": 9.978276576736931e-06, + "loss": 0.8055, + "step": 2002 + }, + { + "epoch": 0.06, + "learning_rate": 9.978232252813395e-06, + "loss": 0.6975, + "step": 2003 + }, + { + "epoch": 0.06, + "learning_rate": 9.97818788381587e-06, + "loss": 0.8826, + "step": 2004 + }, + { + "epoch": 0.06, + "learning_rate": 9.978143469744758e-06, + "loss": 0.5494, + "step": 2005 + }, + { + "epoch": 0.06, + "learning_rate": 9.978099010600462e-06, + "loss": 0.9956, + "step": 2006 + }, + { + "epoch": 0.06, + "learning_rate": 9.978054506383385e-06, + "loss": 0.7166, + "step": 2007 + }, + { + "epoch": 0.06, + "learning_rate": 9.978009957093928e-06, + "loss": 0.9112, + "step": 2008 + }, + { + "epoch": 0.06, + "learning_rate": 9.977965362732496e-06, + "loss": 0.8047, + "step": 2009 + }, + { + "epoch": 0.06, + "learning_rate": 9.977920723299492e-06, + "loss": 1.0021, + "step": 2010 + }, + { + "epoch": 0.06, + "learning_rate": 9.97787603879532e-06, + "loss": 0.6665, + "step": 2011 + }, + { + "epoch": 0.06, + "learning_rate": 9.977831309220385e-06, + "loss": 0.716, + "step": 2012 + }, + { + "epoch": 0.06, + "learning_rate": 9.977786534575093e-06, + "loss": 0.6714, + "step": 2013 + }, + { + "epoch": 0.06, + "learning_rate": 9.977741714859847e-06, + "loss": 0.6926, + "step": 2014 + }, + { + "epoch": 0.06, + "learning_rate": 9.977696850075056e-06, + "loss": 0.7244, + "step": 2015 + }, + { + "epoch": 0.06, + "learning_rate": 9.977651940221122e-06, + "loss": 0.939, + "step": 2016 + }, + { + "epoch": 0.06, + "learning_rate": 9.977606985298456e-06, + "loss": 0.8872, + "step": 2017 + }, + { + "epoch": 0.06, + "learning_rate": 9.977561985307462e-06, + "loss": 0.8955, + "step": 2018 + }, + { + "epoch": 0.06, + "learning_rate": 9.977516940248548e-06, + "loss": 0.8866, + "step": 2019 + }, + { + "epoch": 0.06, + "learning_rate": 9.977471850122122e-06, + "loss": 0.8253, + "step": 2020 + }, + { + "epoch": 0.06, + "learning_rate": 9.977426714928594e-06, + "loss": 0.942, + "step": 2021 + }, + { + "epoch": 0.06, + "learning_rate": 9.97738153466837e-06, + "loss": 0.7368, + "step": 2022 + }, + { + "epoch": 0.06, + "learning_rate": 9.977336309341862e-06, + "loss": 0.9753, + "step": 2023 + }, + { + "epoch": 0.06, + "learning_rate": 9.977291038949477e-06, + "loss": 0.9031, + "step": 2024 + }, + { + "epoch": 0.06, + "learning_rate": 9.977245723491625e-06, + "loss": 0.8509, + "step": 2025 + }, + { + "epoch": 0.06, + "learning_rate": 9.977200362968717e-06, + "loss": 0.8902, + "step": 2026 + }, + { + "epoch": 0.06, + "learning_rate": 9.977154957381165e-06, + "loss": 0.8056, + "step": 2027 + }, + { + "epoch": 0.06, + "learning_rate": 9.977109506729376e-06, + "loss": 0.6651, + "step": 2028 + }, + { + "epoch": 0.06, + "learning_rate": 9.977064011013767e-06, + "loss": 0.8638, + "step": 2029 + }, + { + "epoch": 0.06, + "learning_rate": 9.977018470234747e-06, + "loss": 0.838, + "step": 2030 + }, + { + "epoch": 0.06, + "learning_rate": 9.976972884392728e-06, + "loss": 1.0655, + "step": 2031 + }, + { + "epoch": 0.06, + "learning_rate": 9.976927253488123e-06, + "loss": 0.9986, + "step": 2032 + }, + { + "epoch": 0.06, + "learning_rate": 9.976881577521345e-06, + "loss": 0.667, + "step": 2033 + }, + { + "epoch": 0.06, + "learning_rate": 9.97683585649281e-06, + "loss": 0.7141, + "step": 2034 + }, + { + "epoch": 0.06, + "learning_rate": 9.976790090402929e-06, + "loss": 0.7655, + "step": 2035 + }, + { + "epoch": 0.06, + "learning_rate": 9.976744279252115e-06, + "loss": 0.8672, + "step": 2036 + }, + { + "epoch": 0.06, + "learning_rate": 9.976698423040788e-06, + "loss": 0.9009, + "step": 2037 + }, + { + "epoch": 0.06, + "learning_rate": 9.976652521769359e-06, + "loss": 0.7121, + "step": 2038 + }, + { + "epoch": 0.06, + "learning_rate": 9.976606575438247e-06, + "loss": 0.8533, + "step": 2039 + }, + { + "epoch": 0.06, + "learning_rate": 9.976560584047863e-06, + "loss": 0.9613, + "step": 2040 + }, + { + "epoch": 0.06, + "learning_rate": 9.976514547598628e-06, + "loss": 0.6129, + "step": 2041 + }, + { + "epoch": 0.06, + "learning_rate": 9.976468466090958e-06, + "loss": 1.085, + "step": 2042 + }, + { + "epoch": 0.06, + "learning_rate": 9.976422339525266e-06, + "loss": 0.8216, + "step": 2043 + }, + { + "epoch": 0.06, + "learning_rate": 9.976376167901977e-06, + "loss": 0.5968, + "step": 2044 + }, + { + "epoch": 0.06, + "learning_rate": 9.976329951221504e-06, + "loss": 1.0153, + "step": 2045 + }, + { + "epoch": 0.06, + "learning_rate": 9.976283689484265e-06, + "loss": 0.8659, + "step": 2046 + }, + { + "epoch": 0.06, + "learning_rate": 9.976237382690682e-06, + "loss": 0.7793, + "step": 2047 + }, + { + "epoch": 0.06, + "learning_rate": 9.976191030841172e-06, + "loss": 0.4849, + "step": 2048 + }, + { + "epoch": 0.06, + "learning_rate": 9.976144633936156e-06, + "loss": 0.8261, + "step": 2049 + }, + { + "epoch": 0.06, + "learning_rate": 9.976098191976054e-06, + "loss": 0.6925, + "step": 2050 + }, + { + "epoch": 0.06, + "learning_rate": 9.976051704961284e-06, + "loss": 0.8457, + "step": 2051 + }, + { + "epoch": 0.06, + "learning_rate": 9.976005172892268e-06, + "loss": 0.85, + "step": 2052 + }, + { + "epoch": 0.06, + "learning_rate": 9.975958595769433e-06, + "loss": 0.9608, + "step": 2053 + }, + { + "epoch": 0.06, + "learning_rate": 9.975911973593192e-06, + "loss": 0.8402, + "step": 2054 + }, + { + "epoch": 0.06, + "learning_rate": 9.975865306363972e-06, + "loss": 0.9689, + "step": 2055 + }, + { + "epoch": 0.06, + "learning_rate": 9.975818594082193e-06, + "loss": 0.8771, + "step": 2056 + }, + { + "epoch": 0.06, + "learning_rate": 9.975771836748283e-06, + "loss": 0.7562, + "step": 2057 + }, + { + "epoch": 0.06, + "learning_rate": 9.97572503436266e-06, + "loss": 0.6823, + "step": 2058 + }, + { + "epoch": 0.06, + "learning_rate": 9.975678186925748e-06, + "loss": 0.9123, + "step": 2059 + }, + { + "epoch": 0.06, + "learning_rate": 9.975631294437975e-06, + "loss": 0.6803, + "step": 2060 + }, + { + "epoch": 0.06, + "learning_rate": 9.975584356899763e-06, + "loss": 0.6971, + "step": 2061 + }, + { + "epoch": 0.06, + "learning_rate": 9.975537374311538e-06, + "loss": 0.583, + "step": 2062 + }, + { + "epoch": 0.06, + "learning_rate": 9.975490346673721e-06, + "loss": 0.9174, + "step": 2063 + }, + { + "epoch": 0.06, + "learning_rate": 9.975443273986746e-06, + "loss": 0.7802, + "step": 2064 + }, + { + "epoch": 0.06, + "learning_rate": 9.975396156251033e-06, + "loss": 0.8394, + "step": 2065 + }, + { + "epoch": 0.06, + "learning_rate": 9.97534899346701e-06, + "loss": 0.8647, + "step": 2066 + }, + { + "epoch": 0.06, + "learning_rate": 9.975301785635104e-06, + "loss": 0.6339, + "step": 2067 + }, + { + "epoch": 0.06, + "learning_rate": 9.975254532755743e-06, + "loss": 0.6911, + "step": 2068 + }, + { + "epoch": 0.06, + "learning_rate": 9.975207234829356e-06, + "loss": 0.9449, + "step": 2069 + }, + { + "epoch": 0.06, + "learning_rate": 9.975159891856369e-06, + "loss": 0.9065, + "step": 2070 + }, + { + "epoch": 0.06, + "learning_rate": 9.975112503837211e-06, + "loss": 0.7709, + "step": 2071 + }, + { + "epoch": 0.06, + "learning_rate": 9.975065070772311e-06, + "loss": 0.6771, + "step": 2072 + }, + { + "epoch": 0.06, + "learning_rate": 9.975017592662102e-06, + "loss": 0.6422, + "step": 2073 + }, + { + "epoch": 0.06, + "learning_rate": 9.974970069507008e-06, + "loss": 0.8339, + "step": 2074 + }, + { + "epoch": 0.06, + "learning_rate": 9.974922501307463e-06, + "loss": 0.8665, + "step": 2075 + }, + { + "epoch": 0.06, + "learning_rate": 9.974874888063898e-06, + "loss": 0.6645, + "step": 2076 + }, + { + "epoch": 0.06, + "learning_rate": 9.974827229776742e-06, + "loss": 0.7328, + "step": 2077 + }, + { + "epoch": 0.06, + "learning_rate": 9.974779526446427e-06, + "loss": 0.9396, + "step": 2078 + }, + { + "epoch": 0.06, + "learning_rate": 9.974731778073387e-06, + "loss": 0.6821, + "step": 2079 + }, + { + "epoch": 0.06, + "learning_rate": 9.974683984658052e-06, + "loss": 0.8227, + "step": 2080 + }, + { + "epoch": 0.06, + "learning_rate": 9.974636146200856e-06, + "loss": 0.6018, + "step": 2081 + }, + { + "epoch": 0.06, + "learning_rate": 9.97458826270223e-06, + "loss": 0.6664, + "step": 2082 + }, + { + "epoch": 0.06, + "learning_rate": 9.97454033416261e-06, + "loss": 0.7035, + "step": 2083 + }, + { + "epoch": 0.06, + "learning_rate": 9.974492360582431e-06, + "loss": 0.6943, + "step": 2084 + }, + { + "epoch": 0.06, + "learning_rate": 9.974444341962125e-06, + "loss": 0.8782, + "step": 2085 + }, + { + "epoch": 0.06, + "learning_rate": 9.974396278302126e-06, + "loss": 0.6761, + "step": 2086 + }, + { + "epoch": 0.06, + "learning_rate": 9.97434816960287e-06, + "loss": 0.7765, + "step": 2087 + }, + { + "epoch": 0.06, + "learning_rate": 9.974300015864794e-06, + "loss": 0.8084, + "step": 2088 + }, + { + "epoch": 0.06, + "learning_rate": 9.974251817088332e-06, + "loss": 0.8064, + "step": 2089 + }, + { + "epoch": 0.06, + "learning_rate": 9.974203573273921e-06, + "loss": 0.8515, + "step": 2090 + }, + { + "epoch": 0.06, + "learning_rate": 9.974155284422e-06, + "loss": 0.9741, + "step": 2091 + }, + { + "epoch": 0.06, + "learning_rate": 9.974106950533004e-06, + "loss": 0.7216, + "step": 2092 + }, + { + "epoch": 0.06, + "learning_rate": 9.97405857160737e-06, + "loss": 0.6947, + "step": 2093 + }, + { + "epoch": 0.06, + "learning_rate": 9.97401014764554e-06, + "loss": 0.6307, + "step": 2094 + }, + { + "epoch": 0.06, + "learning_rate": 9.973961678647947e-06, + "loss": 0.7409, + "step": 2095 + }, + { + "epoch": 0.06, + "learning_rate": 9.973913164615033e-06, + "loss": 0.866, + "step": 2096 + }, + { + "epoch": 0.06, + "learning_rate": 9.973864605547236e-06, + "loss": 0.5479, + "step": 2097 + }, + { + "epoch": 0.06, + "learning_rate": 9.973816001444997e-06, + "loss": 0.5587, + "step": 2098 + }, + { + "epoch": 0.06, + "learning_rate": 9.973767352308756e-06, + "loss": 0.6233, + "step": 2099 + }, + { + "epoch": 0.06, + "learning_rate": 9.973718658138952e-06, + "loss": 0.6655, + "step": 2100 + }, + { + "epoch": 0.06, + "learning_rate": 9.973669918936027e-06, + "loss": 1.0191, + "step": 2101 + }, + { + "epoch": 0.06, + "learning_rate": 9.973621134700424e-06, + "loss": 0.9295, + "step": 2102 + }, + { + "epoch": 0.06, + "learning_rate": 9.97357230543258e-06, + "loss": 0.9109, + "step": 2103 + }, + { + "epoch": 0.06, + "learning_rate": 9.973523431132941e-06, + "loss": 0.6367, + "step": 2104 + }, + { + "epoch": 0.06, + "learning_rate": 9.973474511801948e-06, + "loss": 0.914, + "step": 2105 + }, + { + "epoch": 0.06, + "learning_rate": 9.973425547440043e-06, + "loss": 0.9071, + "step": 2106 + }, + { + "epoch": 0.06, + "learning_rate": 9.973376538047674e-06, + "loss": 0.7987, + "step": 2107 + }, + { + "epoch": 0.06, + "learning_rate": 9.97332748362528e-06, + "loss": 0.6299, + "step": 2108 + }, + { + "epoch": 0.06, + "learning_rate": 9.973278384173306e-06, + "loss": 0.7304, + "step": 2109 + }, + { + "epoch": 0.06, + "learning_rate": 9.973229239692197e-06, + "loss": 0.8321, + "step": 2110 + }, + { + "epoch": 0.06, + "learning_rate": 9.973180050182399e-06, + "loss": 1.0817, + "step": 2111 + }, + { + "epoch": 0.06, + "learning_rate": 9.973130815644356e-06, + "loss": 0.7534, + "step": 2112 + }, + { + "epoch": 0.06, + "learning_rate": 9.973081536078513e-06, + "loss": 1.0151, + "step": 2113 + }, + { + "epoch": 0.06, + "learning_rate": 9.973032211485318e-06, + "loss": 1.0417, + "step": 2114 + }, + { + "epoch": 0.06, + "learning_rate": 9.972982841865218e-06, + "loss": 0.8429, + "step": 2115 + }, + { + "epoch": 0.06, + "learning_rate": 9.972933427218659e-06, + "loss": 0.7921, + "step": 2116 + }, + { + "epoch": 0.06, + "learning_rate": 9.972883967546087e-06, + "loss": 0.6607, + "step": 2117 + }, + { + "epoch": 0.06, + "learning_rate": 9.972834462847952e-06, + "loss": 0.6943, + "step": 2118 + }, + { + "epoch": 0.06, + "learning_rate": 9.972784913124702e-06, + "loss": 0.948, + "step": 2119 + }, + { + "epoch": 0.06, + "learning_rate": 9.972735318376785e-06, + "loss": 0.7678, + "step": 2120 + }, + { + "epoch": 0.06, + "learning_rate": 9.97268567860465e-06, + "loss": 0.6967, + "step": 2121 + }, + { + "epoch": 0.06, + "learning_rate": 9.972635993808745e-06, + "loss": 0.722, + "step": 2122 + }, + { + "epoch": 0.06, + "learning_rate": 9.972586263989524e-06, + "loss": 0.9524, + "step": 2123 + }, + { + "epoch": 0.06, + "learning_rate": 9.972536489147432e-06, + "loss": 0.9253, + "step": 2124 + }, + { + "epoch": 0.06, + "learning_rate": 9.972486669282926e-06, + "loss": 0.7549, + "step": 2125 + }, + { + "epoch": 0.06, + "learning_rate": 9.972436804396451e-06, + "loss": 1.0289, + "step": 2126 + }, + { + "epoch": 0.06, + "learning_rate": 9.972386894488462e-06, + "loss": 0.9687, + "step": 2127 + }, + { + "epoch": 0.06, + "learning_rate": 9.972336939559409e-06, + "loss": 1.1153, + "step": 2128 + }, + { + "epoch": 0.06, + "learning_rate": 9.972286939609745e-06, + "loss": 0.8325, + "step": 2129 + }, + { + "epoch": 0.06, + "learning_rate": 9.972236894639923e-06, + "loss": 0.7647, + "step": 2130 + }, + { + "epoch": 0.06, + "learning_rate": 9.972186804650396e-06, + "loss": 0.9866, + "step": 2131 + }, + { + "epoch": 0.06, + "learning_rate": 9.97213666964162e-06, + "loss": 0.7621, + "step": 2132 + }, + { + "epoch": 0.06, + "learning_rate": 9.972086489614043e-06, + "loss": 0.911, + "step": 2133 + }, + { + "epoch": 0.06, + "learning_rate": 9.972036264568124e-06, + "loss": 0.783, + "step": 2134 + }, + { + "epoch": 0.06, + "learning_rate": 9.971985994504317e-06, + "loss": 0.7461, + "step": 2135 + }, + { + "epoch": 0.06, + "learning_rate": 9.971935679423075e-06, + "loss": 1.1855, + "step": 2136 + }, + { + "epoch": 0.06, + "learning_rate": 9.971885319324856e-06, + "loss": 0.7334, + "step": 2137 + }, + { + "epoch": 0.06, + "learning_rate": 9.971834914210117e-06, + "loss": 0.5321, + "step": 2138 + }, + { + "epoch": 0.06, + "learning_rate": 9.97178446407931e-06, + "loss": 0.581, + "step": 2139 + }, + { + "epoch": 0.06, + "learning_rate": 9.971733968932896e-06, + "loss": 0.9314, + "step": 2140 + }, + { + "epoch": 0.06, + "learning_rate": 9.97168342877133e-06, + "loss": 0.4949, + "step": 2141 + }, + { + "epoch": 0.06, + "learning_rate": 9.97163284359507e-06, + "loss": 0.9642, + "step": 2142 + }, + { + "epoch": 0.06, + "learning_rate": 9.971582213404576e-06, + "loss": 0.7456, + "step": 2143 + }, + { + "epoch": 0.06, + "learning_rate": 9.971531538200304e-06, + "loss": 0.8386, + "step": 2144 + }, + { + "epoch": 0.06, + "learning_rate": 9.97148081798271e-06, + "loss": 1.0273, + "step": 2145 + }, + { + "epoch": 0.06, + "learning_rate": 9.97143005275226e-06, + "loss": 0.9582, + "step": 2146 + }, + { + "epoch": 0.06, + "learning_rate": 9.971379242509409e-06, + "loss": 0.7799, + "step": 2147 + }, + { + "epoch": 0.06, + "learning_rate": 9.97132838725462e-06, + "loss": 0.8574, + "step": 2148 + }, + { + "epoch": 0.06, + "learning_rate": 9.971277486988352e-06, + "loss": 0.7304, + "step": 2149 + }, + { + "epoch": 0.06, + "learning_rate": 9.971226541711063e-06, + "loss": 0.9632, + "step": 2150 + }, + { + "epoch": 0.06, + "learning_rate": 9.971175551423218e-06, + "loss": 0.894, + "step": 2151 + }, + { + "epoch": 0.06, + "learning_rate": 9.971124516125278e-06, + "loss": 0.7411, + "step": 2152 + }, + { + "epoch": 0.06, + "learning_rate": 9.971073435817704e-06, + "loss": 0.6719, + "step": 2153 + }, + { + "epoch": 0.06, + "learning_rate": 9.97102231050096e-06, + "loss": 0.8885, + "step": 2154 + }, + { + "epoch": 0.06, + "learning_rate": 9.970971140175508e-06, + "loss": 0.9127, + "step": 2155 + }, + { + "epoch": 0.06, + "learning_rate": 9.97091992484181e-06, + "loss": 0.8773, + "step": 2156 + }, + { + "epoch": 0.06, + "learning_rate": 9.970868664500334e-06, + "loss": 1.0471, + "step": 2157 + }, + { + "epoch": 0.06, + "learning_rate": 9.970817359151539e-06, + "loss": 0.8006, + "step": 2158 + }, + { + "epoch": 0.06, + "learning_rate": 9.970766008795893e-06, + "loss": 0.6818, + "step": 2159 + }, + { + "epoch": 0.06, + "learning_rate": 9.970714613433858e-06, + "loss": 0.8928, + "step": 2160 + }, + { + "epoch": 0.06, + "learning_rate": 9.970663173065904e-06, + "loss": 1.0009, + "step": 2161 + }, + { + "epoch": 0.06, + "learning_rate": 9.970611687692491e-06, + "loss": 0.8089, + "step": 2162 + }, + { + "epoch": 0.06, + "learning_rate": 9.97056015731409e-06, + "loss": 0.899, + "step": 2163 + }, + { + "epoch": 0.06, + "learning_rate": 9.970508581931163e-06, + "loss": 0.877, + "step": 2164 + }, + { + "epoch": 0.06, + "learning_rate": 9.970456961544182e-06, + "loss": 0.8414, + "step": 2165 + }, + { + "epoch": 0.06, + "learning_rate": 9.970405296153609e-06, + "loss": 0.6016, + "step": 2166 + }, + { + "epoch": 0.06, + "learning_rate": 9.970353585759917e-06, + "loss": 0.84, + "step": 2167 + }, + { + "epoch": 0.06, + "learning_rate": 9.97030183036357e-06, + "loss": 0.8762, + "step": 2168 + }, + { + "epoch": 0.06, + "learning_rate": 9.97025002996504e-06, + "loss": 0.7571, + "step": 2169 + }, + { + "epoch": 0.06, + "learning_rate": 9.970198184564796e-06, + "loss": 0.7823, + "step": 2170 + }, + { + "epoch": 0.06, + "learning_rate": 9.970146294163303e-06, + "loss": 0.61, + "step": 2171 + }, + { + "epoch": 0.06, + "learning_rate": 9.970094358761035e-06, + "loss": 0.8089, + "step": 2172 + }, + { + "epoch": 0.06, + "learning_rate": 9.970042378358461e-06, + "loss": 0.8773, + "step": 2173 + }, + { + "epoch": 0.06, + "learning_rate": 9.969990352956051e-06, + "loss": 0.85, + "step": 2174 + }, + { + "epoch": 0.06, + "learning_rate": 9.969938282554277e-06, + "loss": 1.0335, + "step": 2175 + }, + { + "epoch": 0.06, + "learning_rate": 9.969886167153611e-06, + "loss": 0.6845, + "step": 2176 + }, + { + "epoch": 0.06, + "learning_rate": 9.969834006754522e-06, + "loss": 0.8919, + "step": 2177 + }, + { + "epoch": 0.06, + "learning_rate": 9.969781801357485e-06, + "loss": 0.7877, + "step": 2178 + }, + { + "epoch": 0.06, + "learning_rate": 9.969729550962973e-06, + "loss": 0.8082, + "step": 2179 + }, + { + "epoch": 0.06, + "learning_rate": 9.969677255571457e-06, + "loss": 0.8149, + "step": 2180 + }, + { + "epoch": 0.06, + "learning_rate": 9.969624915183412e-06, + "loss": 0.7304, + "step": 2181 + }, + { + "epoch": 0.06, + "learning_rate": 9.969572529799312e-06, + "loss": 0.7475, + "step": 2182 + }, + { + "epoch": 0.06, + "learning_rate": 9.96952009941963e-06, + "loss": 0.6825, + "step": 2183 + }, + { + "epoch": 0.06, + "learning_rate": 9.969467624044842e-06, + "loss": 0.9725, + "step": 2184 + }, + { + "epoch": 0.06, + "learning_rate": 9.969415103675422e-06, + "loss": 0.8907, + "step": 2185 + }, + { + "epoch": 0.06, + "learning_rate": 9.969362538311845e-06, + "loss": 1.008, + "step": 2186 + }, + { + "epoch": 0.06, + "learning_rate": 9.96930992795459e-06, + "loss": 0.9255, + "step": 2187 + }, + { + "epoch": 0.06, + "learning_rate": 9.969257272604129e-06, + "loss": 1.0428, + "step": 2188 + }, + { + "epoch": 0.06, + "learning_rate": 9.969204572260941e-06, + "loss": 0.8996, + "step": 2189 + }, + { + "epoch": 0.06, + "learning_rate": 9.969151826925507e-06, + "loss": 0.6369, + "step": 2190 + }, + { + "epoch": 0.06, + "learning_rate": 9.969099036598298e-06, + "loss": 0.6512, + "step": 2191 + }, + { + "epoch": 0.06, + "learning_rate": 9.969046201279795e-06, + "loss": 1.0394, + "step": 2192 + }, + { + "epoch": 0.06, + "learning_rate": 9.968993320970477e-06, + "loss": 0.845, + "step": 2193 + }, + { + "epoch": 0.06, + "learning_rate": 9.968940395670823e-06, + "loss": 1.1329, + "step": 2194 + }, + { + "epoch": 0.06, + "learning_rate": 9.968887425381308e-06, + "loss": 0.8611, + "step": 2195 + }, + { + "epoch": 0.06, + "learning_rate": 9.968834410102418e-06, + "loss": 0.9425, + "step": 2196 + }, + { + "epoch": 0.06, + "learning_rate": 9.96878134983463e-06, + "loss": 0.7679, + "step": 2197 + }, + { + "epoch": 0.06, + "learning_rate": 9.96872824457842e-06, + "loss": 0.6742, + "step": 2198 + }, + { + "epoch": 0.06, + "learning_rate": 9.968675094334278e-06, + "loss": 0.7388, + "step": 2199 + }, + { + "epoch": 0.06, + "learning_rate": 9.968621899102677e-06, + "loss": 0.8787, + "step": 2200 + }, + { + "epoch": 0.06, + "learning_rate": 9.968568658884103e-06, + "loss": 0.7415, + "step": 2201 + }, + { + "epoch": 0.06, + "learning_rate": 9.968515373679036e-06, + "loss": 0.7899, + "step": 2202 + }, + { + "epoch": 0.06, + "learning_rate": 9.968462043487961e-06, + "loss": 0.8845, + "step": 2203 + }, + { + "epoch": 0.06, + "learning_rate": 9.968408668311358e-06, + "loss": 0.6578, + "step": 2204 + }, + { + "epoch": 0.06, + "learning_rate": 9.968355248149713e-06, + "loss": 0.8223, + "step": 2205 + }, + { + "epoch": 0.06, + "learning_rate": 9.968301783003506e-06, + "loss": 0.7909, + "step": 2206 + }, + { + "epoch": 0.06, + "learning_rate": 9.968248272873226e-06, + "loss": 0.9191, + "step": 2207 + }, + { + "epoch": 0.06, + "learning_rate": 9.968194717759352e-06, + "loss": 0.6152, + "step": 2208 + }, + { + "epoch": 0.06, + "learning_rate": 9.968141117662374e-06, + "loss": 0.846, + "step": 2209 + }, + { + "epoch": 0.06, + "learning_rate": 9.968087472582775e-06, + "loss": 0.8916, + "step": 2210 + }, + { + "epoch": 0.06, + "learning_rate": 9.96803378252104e-06, + "loss": 0.9621, + "step": 2211 + }, + { + "epoch": 0.06, + "learning_rate": 9.967980047477657e-06, + "loss": 0.9435, + "step": 2212 + }, + { + "epoch": 0.07, + "learning_rate": 9.967926267453109e-06, + "loss": 0.5498, + "step": 2213 + }, + { + "epoch": 0.07, + "learning_rate": 9.967872442447887e-06, + "loss": 0.7832, + "step": 2214 + }, + { + "epoch": 0.07, + "learning_rate": 9.967818572462475e-06, + "loss": 1.0712, + "step": 2215 + }, + { + "epoch": 0.07, + "learning_rate": 9.967764657497365e-06, + "loss": 0.7264, + "step": 2216 + }, + { + "epoch": 0.07, + "learning_rate": 9.967710697553042e-06, + "loss": 0.7407, + "step": 2217 + }, + { + "epoch": 0.07, + "learning_rate": 9.967656692629994e-06, + "loss": 0.848, + "step": 2218 + }, + { + "epoch": 0.07, + "learning_rate": 9.96760264272871e-06, + "loss": 0.836, + "step": 2219 + }, + { + "epoch": 0.07, + "learning_rate": 9.967548547849684e-06, + "loss": 0.7603, + "step": 2220 + }, + { + "epoch": 0.07, + "learning_rate": 9.9674944079934e-06, + "loss": 0.7223, + "step": 2221 + }, + { + "epoch": 0.07, + "learning_rate": 9.96744022316035e-06, + "loss": 0.7557, + "step": 2222 + }, + { + "epoch": 0.07, + "learning_rate": 9.967385993351026e-06, + "loss": 0.8906, + "step": 2223 + }, + { + "epoch": 0.07, + "learning_rate": 9.967331718565918e-06, + "loss": 0.7516, + "step": 2224 + }, + { + "epoch": 0.07, + "learning_rate": 9.967277398805518e-06, + "loss": 0.9952, + "step": 2225 + }, + { + "epoch": 0.07, + "learning_rate": 9.967223034070318e-06, + "loss": 0.7114, + "step": 2226 + }, + { + "epoch": 0.07, + "learning_rate": 9.967168624360809e-06, + "loss": 0.8629, + "step": 2227 + }, + { + "epoch": 0.07, + "learning_rate": 9.967114169677482e-06, + "loss": 1.0287, + "step": 2228 + }, + { + "epoch": 0.07, + "learning_rate": 9.967059670020833e-06, + "loss": 0.559, + "step": 2229 + }, + { + "epoch": 0.07, + "learning_rate": 9.967005125391356e-06, + "loss": 0.7598, + "step": 2230 + }, + { + "epoch": 0.07, + "learning_rate": 9.966950535789543e-06, + "loss": 0.5546, + "step": 2231 + }, + { + "epoch": 0.07, + "learning_rate": 9.966895901215889e-06, + "loss": 0.6, + "step": 2232 + }, + { + "epoch": 0.07, + "learning_rate": 9.966841221670889e-06, + "loss": 0.7159, + "step": 2233 + }, + { + "epoch": 0.07, + "learning_rate": 9.966786497155037e-06, + "loss": 0.8744, + "step": 2234 + }, + { + "epoch": 0.07, + "learning_rate": 9.966731727668828e-06, + "loss": 0.7444, + "step": 2235 + }, + { + "epoch": 0.07, + "learning_rate": 9.966676913212761e-06, + "loss": 0.7703, + "step": 2236 + }, + { + "epoch": 0.07, + "learning_rate": 9.966622053787328e-06, + "loss": 0.7951, + "step": 2237 + }, + { + "epoch": 0.07, + "learning_rate": 9.966567149393029e-06, + "loss": 0.8662, + "step": 2238 + }, + { + "epoch": 0.07, + "learning_rate": 9.96651220003036e-06, + "loss": 0.7905, + "step": 2239 + }, + { + "epoch": 0.07, + "learning_rate": 9.96645720569982e-06, + "loss": 0.8302, + "step": 2240 + }, + { + "epoch": 0.07, + "learning_rate": 9.966402166401903e-06, + "loss": 0.732, + "step": 2241 + }, + { + "epoch": 0.07, + "learning_rate": 9.966347082137112e-06, + "loss": 0.8588, + "step": 2242 + }, + { + "epoch": 0.07, + "learning_rate": 9.966291952905942e-06, + "loss": 0.675, + "step": 2243 + }, + { + "epoch": 0.07, + "learning_rate": 9.966236778708896e-06, + "loss": 1.088, + "step": 2244 + }, + { + "epoch": 0.07, + "learning_rate": 9.96618155954647e-06, + "loss": 0.9047, + "step": 2245 + }, + { + "epoch": 0.07, + "learning_rate": 9.966126295419165e-06, + "loss": 0.7992, + "step": 2246 + }, + { + "epoch": 0.07, + "learning_rate": 9.96607098632748e-06, + "loss": 0.7506, + "step": 2247 + }, + { + "epoch": 0.07, + "learning_rate": 9.966015632271921e-06, + "loss": 0.629, + "step": 2248 + }, + { + "epoch": 0.07, + "learning_rate": 9.965960233252983e-06, + "loss": 0.7185, + "step": 2249 + }, + { + "epoch": 0.07, + "learning_rate": 9.965904789271172e-06, + "loss": 0.8676, + "step": 2250 + }, + { + "epoch": 0.07, + "learning_rate": 9.965849300326986e-06, + "loss": 0.8044, + "step": 2251 + }, + { + "epoch": 0.07, + "learning_rate": 9.965793766420933e-06, + "loss": 0.6671, + "step": 2252 + }, + { + "epoch": 0.07, + "learning_rate": 9.965738187553509e-06, + "loss": 0.895, + "step": 2253 + }, + { + "epoch": 0.07, + "learning_rate": 9.965682563725223e-06, + "loss": 0.7582, + "step": 2254 + }, + { + "epoch": 0.07, + "learning_rate": 9.965626894936575e-06, + "loss": 0.7222, + "step": 2255 + }, + { + "epoch": 0.07, + "learning_rate": 9.965571181188071e-06, + "loss": 0.7689, + "step": 2256 + }, + { + "epoch": 0.07, + "learning_rate": 9.965515422480214e-06, + "loss": 0.8399, + "step": 2257 + }, + { + "epoch": 0.07, + "learning_rate": 9.96545961881351e-06, + "loss": 0.7733, + "step": 2258 + }, + { + "epoch": 0.07, + "learning_rate": 9.965403770188464e-06, + "loss": 0.7286, + "step": 2259 + }, + { + "epoch": 0.07, + "learning_rate": 9.965347876605583e-06, + "loss": 0.7899, + "step": 2260 + }, + { + "epoch": 0.07, + "learning_rate": 9.965291938065368e-06, + "loss": 0.8131, + "step": 2261 + }, + { + "epoch": 0.07, + "learning_rate": 9.965235954568333e-06, + "loss": 0.9978, + "step": 2262 + }, + { + "epoch": 0.07, + "learning_rate": 9.965179926114979e-06, + "loss": 0.828, + "step": 2263 + }, + { + "epoch": 0.07, + "learning_rate": 9.965123852705815e-06, + "loss": 0.9033, + "step": 2264 + }, + { + "epoch": 0.07, + "learning_rate": 9.96506773434135e-06, + "loss": 0.9205, + "step": 2265 + }, + { + "epoch": 0.07, + "learning_rate": 9.965011571022092e-06, + "loss": 0.8372, + "step": 2266 + }, + { + "epoch": 0.07, + "learning_rate": 9.964955362748547e-06, + "loss": 0.7932, + "step": 2267 + }, + { + "epoch": 0.07, + "learning_rate": 9.964899109521225e-06, + "loss": 0.614, + "step": 2268 + }, + { + "epoch": 0.07, + "learning_rate": 9.964842811340639e-06, + "loss": 0.5471, + "step": 2269 + }, + { + "epoch": 0.07, + "learning_rate": 9.964786468207292e-06, + "loss": 0.7661, + "step": 2270 + }, + { + "epoch": 0.07, + "learning_rate": 9.964730080121699e-06, + "loss": 0.9201, + "step": 2271 + }, + { + "epoch": 0.07, + "learning_rate": 9.964673647084368e-06, + "loss": 0.7969, + "step": 2272 + }, + { + "epoch": 0.07, + "learning_rate": 9.964617169095814e-06, + "loss": 1.1352, + "step": 2273 + }, + { + "epoch": 0.07, + "learning_rate": 9.964560646156544e-06, + "loss": 0.8922, + "step": 2274 + }, + { + "epoch": 0.07, + "learning_rate": 9.964504078267073e-06, + "loss": 0.874, + "step": 2275 + }, + { + "epoch": 0.07, + "learning_rate": 9.964447465427909e-06, + "loss": 0.504, + "step": 2276 + }, + { + "epoch": 0.07, + "learning_rate": 9.96439080763957e-06, + "loss": 0.8005, + "step": 2277 + }, + { + "epoch": 0.07, + "learning_rate": 9.964334104902564e-06, + "loss": 0.8631, + "step": 2278 + }, + { + "epoch": 0.07, + "learning_rate": 9.964277357217407e-06, + "loss": 0.8043, + "step": 2279 + }, + { + "epoch": 0.07, + "learning_rate": 9.964220564584612e-06, + "loss": 0.6628, + "step": 2280 + }, + { + "epoch": 0.07, + "learning_rate": 9.964163727004695e-06, + "loss": 0.8861, + "step": 2281 + }, + { + "epoch": 0.07, + "learning_rate": 9.964106844478167e-06, + "loss": 0.6481, + "step": 2282 + }, + { + "epoch": 0.07, + "learning_rate": 9.964049917005547e-06, + "loss": 0.6205, + "step": 2283 + }, + { + "epoch": 0.07, + "learning_rate": 9.963992944587348e-06, + "loss": 0.8539, + "step": 2284 + }, + { + "epoch": 0.07, + "learning_rate": 9.963935927224086e-06, + "loss": 0.7936, + "step": 2285 + }, + { + "epoch": 0.07, + "learning_rate": 9.963878864916279e-06, + "loss": 0.8659, + "step": 2286 + }, + { + "epoch": 0.07, + "learning_rate": 9.963821757664441e-06, + "loss": 0.6188, + "step": 2287 + }, + { + "epoch": 0.07, + "learning_rate": 9.96376460546909e-06, + "loss": 0.7499, + "step": 2288 + }, + { + "epoch": 0.07, + "learning_rate": 9.963707408330747e-06, + "loss": 0.7734, + "step": 2289 + }, + { + "epoch": 0.07, + "learning_rate": 9.963650166249924e-06, + "loss": 0.8774, + "step": 2290 + }, + { + "epoch": 0.07, + "learning_rate": 9.963592879227142e-06, + "loss": 0.9022, + "step": 2291 + }, + { + "epoch": 0.07, + "learning_rate": 9.963535547262921e-06, + "loss": 0.7524, + "step": 2292 + }, + { + "epoch": 0.07, + "learning_rate": 9.963478170357779e-06, + "loss": 0.5821, + "step": 2293 + }, + { + "epoch": 0.07, + "learning_rate": 9.963420748512234e-06, + "loss": 0.957, + "step": 2294 + }, + { + "epoch": 0.07, + "learning_rate": 9.963363281726808e-06, + "loss": 1.0069, + "step": 2295 + }, + { + "epoch": 0.07, + "learning_rate": 9.963305770002021e-06, + "loss": 0.9978, + "step": 2296 + }, + { + "epoch": 0.07, + "learning_rate": 9.963248213338393e-06, + "loss": 0.7971, + "step": 2297 + }, + { + "epoch": 0.07, + "learning_rate": 9.963190611736447e-06, + "loss": 0.7594, + "step": 2298 + }, + { + "epoch": 0.07, + "learning_rate": 9.9631329651967e-06, + "loss": 0.9303, + "step": 2299 + }, + { + "epoch": 0.07, + "learning_rate": 9.963075273719677e-06, + "loss": 0.7116, + "step": 2300 + }, + { + "epoch": 0.07, + "learning_rate": 9.963017537305903e-06, + "loss": 0.6332, + "step": 2301 + }, + { + "epoch": 0.07, + "learning_rate": 9.962959755955896e-06, + "loss": 0.6572, + "step": 2302 + }, + { + "epoch": 0.07, + "learning_rate": 9.962901929670183e-06, + "loss": 0.9067, + "step": 2303 + }, + { + "epoch": 0.07, + "learning_rate": 9.962844058449284e-06, + "loss": 0.7145, + "step": 2304 + }, + { + "epoch": 0.07, + "learning_rate": 9.962786142293726e-06, + "loss": 0.6091, + "step": 2305 + }, + { + "epoch": 0.07, + "learning_rate": 9.96272818120403e-06, + "loss": 0.9649, + "step": 2306 + }, + { + "epoch": 0.07, + "learning_rate": 9.962670175180725e-06, + "loss": 0.994, + "step": 2307 + }, + { + "epoch": 0.07, + "learning_rate": 9.962612124224334e-06, + "loss": 0.7405, + "step": 2308 + }, + { + "epoch": 0.07, + "learning_rate": 9.962554028335383e-06, + "loss": 0.9522, + "step": 2309 + }, + { + "epoch": 0.07, + "learning_rate": 9.962495887514395e-06, + "loss": 0.7642, + "step": 2310 + }, + { + "epoch": 0.07, + "learning_rate": 9.962437701761902e-06, + "loss": 0.7865, + "step": 2311 + }, + { + "epoch": 0.07, + "learning_rate": 9.962379471078428e-06, + "loss": 0.9213, + "step": 2312 + }, + { + "epoch": 0.07, + "learning_rate": 9.962321195464498e-06, + "loss": 0.7074, + "step": 2313 + }, + { + "epoch": 0.07, + "learning_rate": 9.962262874920644e-06, + "loss": 0.9141, + "step": 2314 + }, + { + "epoch": 0.07, + "learning_rate": 9.96220450944739e-06, + "loss": 0.7003, + "step": 2315 + }, + { + "epoch": 0.07, + "learning_rate": 9.962146099045267e-06, + "loss": 0.9686, + "step": 2316 + }, + { + "epoch": 0.07, + "learning_rate": 9.962087643714804e-06, + "loss": 0.8012, + "step": 2317 + }, + { + "epoch": 0.07, + "learning_rate": 9.962029143456529e-06, + "loss": 0.8735, + "step": 2318 + }, + { + "epoch": 0.07, + "learning_rate": 9.961970598270972e-06, + "loss": 0.4952, + "step": 2319 + }, + { + "epoch": 0.07, + "learning_rate": 9.961912008158663e-06, + "loss": 0.9685, + "step": 2320 + }, + { + "epoch": 0.07, + "learning_rate": 9.961853373120134e-06, + "loss": 1.1447, + "step": 2321 + }, + { + "epoch": 0.07, + "learning_rate": 9.961794693155914e-06, + "loss": 0.8148, + "step": 2322 + }, + { + "epoch": 0.07, + "learning_rate": 9.961735968266534e-06, + "loss": 0.92, + "step": 2323 + }, + { + "epoch": 0.07, + "learning_rate": 9.961677198452529e-06, + "loss": 0.6588, + "step": 2324 + }, + { + "epoch": 0.07, + "learning_rate": 9.961618383714426e-06, + "loss": 0.7088, + "step": 2325 + }, + { + "epoch": 0.07, + "learning_rate": 9.961559524052761e-06, + "loss": 0.7858, + "step": 2326 + }, + { + "epoch": 0.07, + "learning_rate": 9.961500619468067e-06, + "loss": 0.8012, + "step": 2327 + }, + { + "epoch": 0.07, + "learning_rate": 9.961441669960877e-06, + "loss": 0.7095, + "step": 2328 + }, + { + "epoch": 0.07, + "learning_rate": 9.961382675531723e-06, + "loss": 0.8981, + "step": 2329 + }, + { + "epoch": 0.07, + "learning_rate": 9.961323636181141e-06, + "loss": 0.7158, + "step": 2330 + }, + { + "epoch": 0.07, + "learning_rate": 9.961264551909664e-06, + "loss": 0.8296, + "step": 2331 + }, + { + "epoch": 0.07, + "learning_rate": 9.96120542271783e-06, + "loss": 1.1011, + "step": 2332 + }, + { + "epoch": 0.07, + "learning_rate": 9.96114624860617e-06, + "loss": 0.7996, + "step": 2333 + }, + { + "epoch": 0.07, + "learning_rate": 9.961087029575224e-06, + "loss": 0.642, + "step": 2334 + }, + { + "epoch": 0.07, + "learning_rate": 9.961027765625524e-06, + "loss": 0.5785, + "step": 2335 + }, + { + "epoch": 0.07, + "learning_rate": 9.960968456757612e-06, + "loss": 0.8774, + "step": 2336 + }, + { + "epoch": 0.07, + "learning_rate": 9.96090910297202e-06, + "loss": 0.7768, + "step": 2337 + }, + { + "epoch": 0.07, + "learning_rate": 9.960849704269286e-06, + "loss": 0.7546, + "step": 2338 + }, + { + "epoch": 0.07, + "learning_rate": 9.960790260649951e-06, + "loss": 0.7466, + "step": 2339 + }, + { + "epoch": 0.07, + "learning_rate": 9.960730772114551e-06, + "loss": 0.8864, + "step": 2340 + }, + { + "epoch": 0.07, + "learning_rate": 9.960671238663623e-06, + "loss": 0.7632, + "step": 2341 + }, + { + "epoch": 0.07, + "learning_rate": 9.960611660297711e-06, + "loss": 0.9758, + "step": 2342 + }, + { + "epoch": 0.07, + "learning_rate": 9.96055203701735e-06, + "loss": 0.7712, + "step": 2343 + }, + { + "epoch": 0.07, + "learning_rate": 9.96049236882308e-06, + "loss": 0.7056, + "step": 2344 + }, + { + "epoch": 0.07, + "learning_rate": 9.960432655715445e-06, + "loss": 0.951, + "step": 2345 + }, + { + "epoch": 0.07, + "learning_rate": 9.960372897694981e-06, + "loss": 0.777, + "step": 2346 + }, + { + "epoch": 0.07, + "learning_rate": 9.96031309476223e-06, + "loss": 0.8639, + "step": 2347 + }, + { + "epoch": 0.07, + "learning_rate": 9.960253246917738e-06, + "loss": 0.7543, + "step": 2348 + }, + { + "epoch": 0.07, + "learning_rate": 9.960193354162042e-06, + "loss": 0.8361, + "step": 2349 + }, + { + "epoch": 0.07, + "learning_rate": 9.960133416495685e-06, + "loss": 0.8757, + "step": 2350 + }, + { + "epoch": 0.07, + "learning_rate": 9.960073433919211e-06, + "loss": 0.75, + "step": 2351 + }, + { + "epoch": 0.07, + "learning_rate": 9.960013406433163e-06, + "loss": 0.9602, + "step": 2352 + }, + { + "epoch": 0.07, + "learning_rate": 9.959953334038084e-06, + "loss": 1.1223, + "step": 2353 + }, + { + "epoch": 0.07, + "learning_rate": 9.959893216734518e-06, + "loss": 0.6836, + "step": 2354 + }, + { + "epoch": 0.07, + "learning_rate": 9.959833054523009e-06, + "loss": 0.6678, + "step": 2355 + }, + { + "epoch": 0.07, + "learning_rate": 9.959772847404103e-06, + "loss": 0.7477, + "step": 2356 + }, + { + "epoch": 0.07, + "learning_rate": 9.959712595378342e-06, + "loss": 0.8567, + "step": 2357 + }, + { + "epoch": 0.07, + "learning_rate": 9.959652298446276e-06, + "loss": 0.6956, + "step": 2358 + }, + { + "epoch": 0.07, + "learning_rate": 9.959591956608447e-06, + "loss": 0.5117, + "step": 2359 + }, + { + "epoch": 0.07, + "learning_rate": 9.959531569865403e-06, + "loss": 0.7094, + "step": 2360 + }, + { + "epoch": 0.07, + "learning_rate": 9.959471138217692e-06, + "loss": 0.5386, + "step": 2361 + }, + { + "epoch": 0.07, + "learning_rate": 9.959410661665859e-06, + "loss": 0.9403, + "step": 2362 + }, + { + "epoch": 0.07, + "learning_rate": 9.959350140210453e-06, + "loss": 0.7493, + "step": 2363 + }, + { + "epoch": 0.07, + "learning_rate": 9.95928957385202e-06, + "loss": 0.5838, + "step": 2364 + }, + { + "epoch": 0.07, + "learning_rate": 9.959228962591112e-06, + "loss": 0.8403, + "step": 2365 + }, + { + "epoch": 0.07, + "learning_rate": 9.959168306428274e-06, + "loss": 0.8477, + "step": 2366 + }, + { + "epoch": 0.07, + "learning_rate": 9.959107605364058e-06, + "loss": 0.9702, + "step": 2367 + }, + { + "epoch": 0.07, + "learning_rate": 9.959046859399011e-06, + "loss": 0.6936, + "step": 2368 + }, + { + "epoch": 0.07, + "learning_rate": 9.958986068533686e-06, + "loss": 0.7762, + "step": 2369 + }, + { + "epoch": 0.07, + "learning_rate": 9.95892523276863e-06, + "loss": 0.6958, + "step": 2370 + }, + { + "epoch": 0.07, + "learning_rate": 9.958864352104397e-06, + "loss": 0.8483, + "step": 2371 + }, + { + "epoch": 0.07, + "learning_rate": 9.958803426541537e-06, + "loss": 0.8212, + "step": 2372 + }, + { + "epoch": 0.07, + "learning_rate": 9.9587424560806e-06, + "loss": 0.8281, + "step": 2373 + }, + { + "epoch": 0.07, + "learning_rate": 9.95868144072214e-06, + "loss": 0.914, + "step": 2374 + }, + { + "epoch": 0.07, + "learning_rate": 9.95862038046671e-06, + "loss": 0.9222, + "step": 2375 + }, + { + "epoch": 0.07, + "learning_rate": 9.95855927531486e-06, + "loss": 0.7898, + "step": 2376 + }, + { + "epoch": 0.07, + "learning_rate": 9.958498125267148e-06, + "loss": 0.8671, + "step": 2377 + }, + { + "epoch": 0.07, + "learning_rate": 9.958436930324122e-06, + "loss": 0.8949, + "step": 2378 + }, + { + "epoch": 0.07, + "learning_rate": 9.95837569048634e-06, + "loss": 0.6701, + "step": 2379 + }, + { + "epoch": 0.07, + "learning_rate": 9.958314405754356e-06, + "loss": 0.8205, + "step": 2380 + }, + { + "epoch": 0.07, + "learning_rate": 9.958253076128723e-06, + "loss": 0.9587, + "step": 2381 + }, + { + "epoch": 0.07, + "learning_rate": 9.958191701609998e-06, + "loss": 0.9615, + "step": 2382 + }, + { + "epoch": 0.07, + "learning_rate": 9.958130282198736e-06, + "loss": 1.0372, + "step": 2383 + }, + { + "epoch": 0.07, + "learning_rate": 9.958068817895493e-06, + "loss": 0.7563, + "step": 2384 + }, + { + "epoch": 0.07, + "learning_rate": 9.958007308700827e-06, + "loss": 0.8095, + "step": 2385 + }, + { + "epoch": 0.07, + "learning_rate": 9.957945754615293e-06, + "loss": 0.6112, + "step": 2386 + }, + { + "epoch": 0.07, + "learning_rate": 9.957884155639447e-06, + "loss": 0.9307, + "step": 2387 + }, + { + "epoch": 0.07, + "learning_rate": 9.95782251177385e-06, + "loss": 0.6458, + "step": 2388 + }, + { + "epoch": 0.07, + "learning_rate": 9.957760823019062e-06, + "loss": 0.8048, + "step": 2389 + }, + { + "epoch": 0.07, + "learning_rate": 9.957699089375637e-06, + "loss": 0.8229, + "step": 2390 + }, + { + "epoch": 0.07, + "learning_rate": 9.957637310844133e-06, + "loss": 1.0097, + "step": 2391 + }, + { + "epoch": 0.07, + "learning_rate": 9.957575487425112e-06, + "loss": 0.877, + "step": 2392 + }, + { + "epoch": 0.07, + "learning_rate": 9.957513619119137e-06, + "loss": 0.74, + "step": 2393 + }, + { + "epoch": 0.07, + "learning_rate": 9.957451705926762e-06, + "loss": 1.1134, + "step": 2394 + }, + { + "epoch": 0.07, + "learning_rate": 9.95738974784855e-06, + "loss": 0.7481, + "step": 2395 + }, + { + "epoch": 0.07, + "learning_rate": 9.957327744885064e-06, + "loss": 0.9525, + "step": 2396 + }, + { + "epoch": 0.07, + "learning_rate": 9.957265697036863e-06, + "loss": 0.9811, + "step": 2397 + }, + { + "epoch": 0.07, + "learning_rate": 9.957203604304508e-06, + "loss": 0.8409, + "step": 2398 + }, + { + "epoch": 0.07, + "learning_rate": 9.957141466688564e-06, + "loss": 0.7604, + "step": 2399 + }, + { + "epoch": 0.07, + "learning_rate": 9.957079284189592e-06, + "loss": 0.834, + "step": 2400 + }, + { + "epoch": 0.07, + "learning_rate": 9.957017056808155e-06, + "loss": 0.4765, + "step": 2401 + }, + { + "epoch": 0.07, + "learning_rate": 9.956954784544817e-06, + "loss": 0.881, + "step": 2402 + }, + { + "epoch": 0.07, + "learning_rate": 9.95689246740014e-06, + "loss": 0.8171, + "step": 2403 + }, + { + "epoch": 0.07, + "learning_rate": 9.956830105374693e-06, + "loss": 0.8328, + "step": 2404 + }, + { + "epoch": 0.07, + "learning_rate": 9.956767698469034e-06, + "loss": 0.9931, + "step": 2405 + }, + { + "epoch": 0.07, + "learning_rate": 9.956705246683734e-06, + "loss": 0.783, + "step": 2406 + }, + { + "epoch": 0.07, + "learning_rate": 9.956642750019354e-06, + "loss": 0.8436, + "step": 2407 + }, + { + "epoch": 0.07, + "learning_rate": 9.956580208476463e-06, + "loss": 0.977, + "step": 2408 + }, + { + "epoch": 0.07, + "learning_rate": 9.956517622055626e-06, + "loss": 0.6027, + "step": 2409 + }, + { + "epoch": 0.07, + "learning_rate": 9.956454990757407e-06, + "loss": 0.8348, + "step": 2410 + }, + { + "epoch": 0.07, + "learning_rate": 9.95639231458238e-06, + "loss": 0.832, + "step": 2411 + }, + { + "epoch": 0.07, + "learning_rate": 9.956329593531105e-06, + "loss": 0.8377, + "step": 2412 + }, + { + "epoch": 0.07, + "learning_rate": 9.956266827604155e-06, + "loss": 0.7634, + "step": 2413 + }, + { + "epoch": 0.07, + "learning_rate": 9.956204016802095e-06, + "loss": 0.9037, + "step": 2414 + }, + { + "epoch": 0.07, + "learning_rate": 9.956141161125496e-06, + "loss": 1.1306, + "step": 2415 + }, + { + "epoch": 0.07, + "learning_rate": 9.956078260574927e-06, + "loss": 0.8342, + "step": 2416 + }, + { + "epoch": 0.07, + "learning_rate": 9.956015315150955e-06, + "loss": 0.8396, + "step": 2417 + }, + { + "epoch": 0.07, + "learning_rate": 9.955952324854152e-06, + "loss": 1.1307, + "step": 2418 + }, + { + "epoch": 0.07, + "learning_rate": 9.955889289685087e-06, + "loss": 0.7958, + "step": 2419 + }, + { + "epoch": 0.07, + "learning_rate": 9.955826209644334e-06, + "loss": 1.0083, + "step": 2420 + }, + { + "epoch": 0.07, + "learning_rate": 9.95576308473246e-06, + "loss": 0.7038, + "step": 2421 + }, + { + "epoch": 0.07, + "learning_rate": 9.95569991495004e-06, + "loss": 0.757, + "step": 2422 + }, + { + "epoch": 0.07, + "learning_rate": 9.955636700297644e-06, + "loss": 0.8911, + "step": 2423 + }, + { + "epoch": 0.07, + "learning_rate": 9.955573440775843e-06, + "loss": 0.9022, + "step": 2424 + }, + { + "epoch": 0.07, + "learning_rate": 9.955510136385214e-06, + "loss": 0.617, + "step": 2425 + }, + { + "epoch": 0.07, + "learning_rate": 9.955446787126326e-06, + "loss": 0.7039, + "step": 2426 + }, + { + "epoch": 0.07, + "learning_rate": 9.955383392999755e-06, + "loss": 1.0134, + "step": 2427 + }, + { + "epoch": 0.07, + "learning_rate": 9.955319954006074e-06, + "loss": 0.6412, + "step": 2428 + }, + { + "epoch": 0.07, + "learning_rate": 9.955256470145858e-06, + "loss": 0.7174, + "step": 2429 + }, + { + "epoch": 0.07, + "learning_rate": 9.95519294141968e-06, + "loss": 1.0338, + "step": 2430 + }, + { + "epoch": 0.07, + "learning_rate": 9.955129367828118e-06, + "loss": 0.8571, + "step": 2431 + }, + { + "epoch": 0.07, + "learning_rate": 9.955065749371746e-06, + "loss": 0.6422, + "step": 2432 + }, + { + "epoch": 0.07, + "learning_rate": 9.95500208605114e-06, + "loss": 0.7733, + "step": 2433 + }, + { + "epoch": 0.07, + "learning_rate": 9.954938377866875e-06, + "loss": 0.7667, + "step": 2434 + }, + { + "epoch": 0.07, + "learning_rate": 9.954874624819533e-06, + "loss": 0.7135, + "step": 2435 + }, + { + "epoch": 0.07, + "learning_rate": 9.954810826909685e-06, + "loss": 0.8497, + "step": 2436 + }, + { + "epoch": 0.07, + "learning_rate": 9.954746984137912e-06, + "loss": 0.8335, + "step": 2437 + }, + { + "epoch": 0.07, + "learning_rate": 9.954683096504793e-06, + "loss": 1.1768, + "step": 2438 + }, + { + "epoch": 0.07, + "learning_rate": 9.954619164010903e-06, + "loss": 0.8369, + "step": 2439 + }, + { + "epoch": 0.07, + "learning_rate": 9.954555186656822e-06, + "loss": 0.8556, + "step": 2440 + }, + { + "epoch": 0.07, + "learning_rate": 9.954491164443132e-06, + "loss": 0.832, + "step": 2441 + }, + { + "epoch": 0.07, + "learning_rate": 9.95442709737041e-06, + "loss": 0.7567, + "step": 2442 + }, + { + "epoch": 0.07, + "learning_rate": 9.954362985439237e-06, + "loss": 0.7293, + "step": 2443 + }, + { + "epoch": 0.07, + "learning_rate": 9.954298828650193e-06, + "loss": 0.7421, + "step": 2444 + }, + { + "epoch": 0.07, + "learning_rate": 9.954234627003859e-06, + "loss": 1.0555, + "step": 2445 + }, + { + "epoch": 0.07, + "learning_rate": 9.954170380500815e-06, + "loss": 0.8117, + "step": 2446 + }, + { + "epoch": 0.07, + "learning_rate": 9.954106089141646e-06, + "loss": 0.663, + "step": 2447 + }, + { + "epoch": 0.07, + "learning_rate": 9.95404175292693e-06, + "loss": 0.8607, + "step": 2448 + }, + { + "epoch": 0.07, + "learning_rate": 9.953977371857254e-06, + "loss": 0.5421, + "step": 2449 + }, + { + "epoch": 0.07, + "learning_rate": 9.953912945933198e-06, + "loss": 0.9536, + "step": 2450 + }, + { + "epoch": 0.07, + "learning_rate": 9.953848475155345e-06, + "loss": 0.937, + "step": 2451 + }, + { + "epoch": 0.07, + "learning_rate": 9.95378395952428e-06, + "loss": 0.9661, + "step": 2452 + }, + { + "epoch": 0.07, + "learning_rate": 9.953719399040589e-06, + "loss": 0.8256, + "step": 2453 + }, + { + "epoch": 0.07, + "learning_rate": 9.953654793704852e-06, + "loss": 0.7415, + "step": 2454 + }, + { + "epoch": 0.07, + "learning_rate": 9.953590143517658e-06, + "loss": 0.6948, + "step": 2455 + }, + { + "epoch": 0.07, + "learning_rate": 9.953525448479589e-06, + "loss": 1.019, + "step": 2456 + }, + { + "epoch": 0.07, + "learning_rate": 9.953460708591234e-06, + "loss": 0.6169, + "step": 2457 + }, + { + "epoch": 0.07, + "learning_rate": 9.953395923853176e-06, + "loss": 0.6243, + "step": 2458 + }, + { + "epoch": 0.07, + "learning_rate": 9.953331094266005e-06, + "loss": 0.7274, + "step": 2459 + }, + { + "epoch": 0.07, + "learning_rate": 9.953266219830304e-06, + "loss": 0.8116, + "step": 2460 + }, + { + "epoch": 0.07, + "learning_rate": 9.953201300546664e-06, + "loss": 0.6676, + "step": 2461 + }, + { + "epoch": 0.07, + "learning_rate": 9.953136336415672e-06, + "loss": 0.88, + "step": 2462 + }, + { + "epoch": 0.07, + "learning_rate": 9.953071327437913e-06, + "loss": 0.8374, + "step": 2463 + }, + { + "epoch": 0.07, + "learning_rate": 9.95300627361398e-06, + "loss": 0.9589, + "step": 2464 + }, + { + "epoch": 0.07, + "learning_rate": 9.95294117494446e-06, + "loss": 0.6333, + "step": 2465 + }, + { + "epoch": 0.07, + "learning_rate": 9.952876031429944e-06, + "loss": 0.4582, + "step": 2466 + }, + { + "epoch": 0.07, + "learning_rate": 9.952810843071018e-06, + "loss": 0.709, + "step": 2467 + }, + { + "epoch": 0.07, + "learning_rate": 9.952745609868276e-06, + "loss": 1.0476, + "step": 2468 + }, + { + "epoch": 0.07, + "learning_rate": 9.952680331822307e-06, + "loss": 0.7887, + "step": 2469 + }, + { + "epoch": 0.07, + "learning_rate": 9.952615008933702e-06, + "loss": 1.1056, + "step": 2470 + }, + { + "epoch": 0.07, + "learning_rate": 9.952549641203052e-06, + "loss": 0.8149, + "step": 2471 + }, + { + "epoch": 0.07, + "learning_rate": 9.952484228630951e-06, + "loss": 0.6107, + "step": 2472 + }, + { + "epoch": 0.07, + "learning_rate": 9.95241877121799e-06, + "loss": 0.9124, + "step": 2473 + }, + { + "epoch": 0.07, + "learning_rate": 9.952353268964761e-06, + "loss": 0.841, + "step": 2474 + }, + { + "epoch": 0.07, + "learning_rate": 9.952287721871858e-06, + "loss": 0.8874, + "step": 2475 + }, + { + "epoch": 0.07, + "learning_rate": 9.952222129939873e-06, + "loss": 0.8057, + "step": 2476 + }, + { + "epoch": 0.07, + "learning_rate": 9.952156493169401e-06, + "loss": 0.5759, + "step": 2477 + }, + { + "epoch": 0.07, + "learning_rate": 9.952090811561037e-06, + "loss": 0.6671, + "step": 2478 + }, + { + "epoch": 0.07, + "learning_rate": 9.952025085115375e-06, + "loss": 0.6512, + "step": 2479 + }, + { + "epoch": 0.07, + "learning_rate": 9.95195931383301e-06, + "loss": 0.9942, + "step": 2480 + }, + { + "epoch": 0.07, + "learning_rate": 9.951893497714538e-06, + "loss": 0.757, + "step": 2481 + }, + { + "epoch": 0.07, + "learning_rate": 9.951827636760554e-06, + "loss": 0.6581, + "step": 2482 + }, + { + "epoch": 0.07, + "learning_rate": 9.951761730971654e-06, + "loss": 1.1212, + "step": 2483 + }, + { + "epoch": 0.07, + "learning_rate": 9.951695780348437e-06, + "loss": 0.6128, + "step": 2484 + }, + { + "epoch": 0.07, + "learning_rate": 9.951629784891497e-06, + "loss": 0.8011, + "step": 2485 + }, + { + "epoch": 0.07, + "learning_rate": 9.951563744601436e-06, + "loss": 0.7951, + "step": 2486 + }, + { + "epoch": 0.07, + "learning_rate": 9.951497659478846e-06, + "loss": 0.7118, + "step": 2487 + }, + { + "epoch": 0.07, + "learning_rate": 9.95143152952433e-06, + "loss": 0.9442, + "step": 2488 + }, + { + "epoch": 0.07, + "learning_rate": 9.951365354738484e-06, + "loss": 0.8219, + "step": 2489 + }, + { + "epoch": 0.07, + "learning_rate": 9.95129913512191e-06, + "loss": 0.8366, + "step": 2490 + }, + { + "epoch": 0.07, + "learning_rate": 9.951232870675205e-06, + "loss": 0.9004, + "step": 2491 + }, + { + "epoch": 0.07, + "learning_rate": 9.951166561398971e-06, + "loss": 0.7912, + "step": 2492 + }, + { + "epoch": 0.07, + "learning_rate": 9.951100207293806e-06, + "loss": 0.8712, + "step": 2493 + }, + { + "epoch": 0.07, + "learning_rate": 9.951033808360313e-06, + "loss": 0.727, + "step": 2494 + }, + { + "epoch": 0.07, + "learning_rate": 9.950967364599093e-06, + "loss": 1.0939, + "step": 2495 + }, + { + "epoch": 0.07, + "learning_rate": 9.950900876010746e-06, + "loss": 0.8072, + "step": 2496 + }, + { + "epoch": 0.07, + "learning_rate": 9.950834342595875e-06, + "loss": 0.9335, + "step": 2497 + }, + { + "epoch": 0.07, + "learning_rate": 9.950767764355082e-06, + "loss": 0.9632, + "step": 2498 + }, + { + "epoch": 0.07, + "learning_rate": 9.95070114128897e-06, + "loss": 0.7856, + "step": 2499 + }, + { + "epoch": 0.07, + "learning_rate": 9.950634473398141e-06, + "loss": 0.8523, + "step": 2500 + }, + { + "epoch": 0.07, + "learning_rate": 9.950567760683202e-06, + "loss": 0.534, + "step": 2501 + }, + { + "epoch": 0.07, + "learning_rate": 9.950501003144756e-06, + "loss": 0.766, + "step": 2502 + }, + { + "epoch": 0.07, + "learning_rate": 9.950434200783406e-06, + "loss": 0.7209, + "step": 2503 + }, + { + "epoch": 0.07, + "learning_rate": 9.950367353599755e-06, + "loss": 0.915, + "step": 2504 + }, + { + "epoch": 0.07, + "learning_rate": 9.950300461594411e-06, + "loss": 0.8386, + "step": 2505 + }, + { + "epoch": 0.07, + "learning_rate": 9.95023352476798e-06, + "loss": 0.7363, + "step": 2506 + }, + { + "epoch": 0.07, + "learning_rate": 9.950166543121067e-06, + "loss": 0.6762, + "step": 2507 + }, + { + "epoch": 0.07, + "learning_rate": 9.950099516654279e-06, + "loss": 0.5654, + "step": 2508 + }, + { + "epoch": 0.07, + "learning_rate": 9.950032445368223e-06, + "loss": 0.9757, + "step": 2509 + }, + { + "epoch": 0.07, + "learning_rate": 9.949965329263505e-06, + "loss": 0.8134, + "step": 2510 + }, + { + "epoch": 0.07, + "learning_rate": 9.949898168340735e-06, + "loss": 0.8, + "step": 2511 + }, + { + "epoch": 0.07, + "learning_rate": 9.949830962600518e-06, + "loss": 0.7569, + "step": 2512 + }, + { + "epoch": 0.07, + "learning_rate": 9.949763712043464e-06, + "loss": 0.8922, + "step": 2513 + }, + { + "epoch": 0.07, + "learning_rate": 9.949696416670182e-06, + "loss": 0.9285, + "step": 2514 + }, + { + "epoch": 0.07, + "learning_rate": 9.949629076481281e-06, + "loss": 0.8743, + "step": 2515 + }, + { + "epoch": 0.07, + "learning_rate": 9.949561691477375e-06, + "loss": 0.783, + "step": 2516 + }, + { + "epoch": 0.07, + "learning_rate": 9.949494261659066e-06, + "loss": 0.6557, + "step": 2517 + }, + { + "epoch": 0.07, + "learning_rate": 9.94942678702697e-06, + "loss": 0.7301, + "step": 2518 + }, + { + "epoch": 0.07, + "learning_rate": 9.949359267581695e-06, + "loss": 0.8623, + "step": 2519 + }, + { + "epoch": 0.07, + "learning_rate": 9.949291703323855e-06, + "loss": 0.754, + "step": 2520 + }, + { + "epoch": 0.07, + "learning_rate": 9.949224094254062e-06, + "loss": 1.0298, + "step": 2521 + }, + { + "epoch": 0.07, + "learning_rate": 9.949156440372927e-06, + "loss": 0.8819, + "step": 2522 + }, + { + "epoch": 0.07, + "learning_rate": 9.949088741681061e-06, + "loss": 0.7187, + "step": 2523 + }, + { + "epoch": 0.07, + "learning_rate": 9.949020998179077e-06, + "loss": 0.7757, + "step": 2524 + }, + { + "epoch": 0.07, + "learning_rate": 9.948953209867592e-06, + "loss": 1.0997, + "step": 2525 + }, + { + "epoch": 0.07, + "learning_rate": 9.948885376747217e-06, + "loss": 0.6678, + "step": 2526 + }, + { + "epoch": 0.07, + "learning_rate": 9.948817498818565e-06, + "loss": 0.9757, + "step": 2527 + }, + { + "epoch": 0.07, + "learning_rate": 9.948749576082255e-06, + "loss": 0.9662, + "step": 2528 + }, + { + "epoch": 0.07, + "learning_rate": 9.948681608538898e-06, + "loss": 0.6788, + "step": 2529 + }, + { + "epoch": 0.07, + "learning_rate": 9.94861359618911e-06, + "loss": 0.6961, + "step": 2530 + }, + { + "epoch": 0.07, + "learning_rate": 9.94854553903351e-06, + "loss": 0.872, + "step": 2531 + }, + { + "epoch": 0.07, + "learning_rate": 9.948477437072708e-06, + "loss": 0.8502, + "step": 2532 + }, + { + "epoch": 0.07, + "learning_rate": 9.948409290307326e-06, + "loss": 0.665, + "step": 2533 + }, + { + "epoch": 0.07, + "learning_rate": 9.94834109873798e-06, + "loss": 0.725, + "step": 2534 + }, + { + "epoch": 0.07, + "learning_rate": 9.948272862365285e-06, + "loss": 0.8229, + "step": 2535 + }, + { + "epoch": 0.07, + "learning_rate": 9.948204581189861e-06, + "loss": 0.6681, + "step": 2536 + }, + { + "epoch": 0.07, + "learning_rate": 9.948136255212327e-06, + "loss": 0.7874, + "step": 2537 + }, + { + "epoch": 0.07, + "learning_rate": 9.9480678844333e-06, + "loss": 0.706, + "step": 2538 + }, + { + "epoch": 0.07, + "learning_rate": 9.947999468853398e-06, + "loss": 0.7066, + "step": 2539 + }, + { + "epoch": 0.07, + "learning_rate": 9.947931008473241e-06, + "loss": 0.8379, + "step": 2540 + }, + { + "epoch": 0.07, + "learning_rate": 9.947862503293451e-06, + "loss": 0.9918, + "step": 2541 + }, + { + "epoch": 0.07, + "learning_rate": 9.947793953314648e-06, + "loss": 0.8409, + "step": 2542 + }, + { + "epoch": 0.07, + "learning_rate": 9.94772535853745e-06, + "loss": 0.849, + "step": 2543 + }, + { + "epoch": 0.07, + "learning_rate": 9.947656718962481e-06, + "loss": 0.925, + "step": 2544 + }, + { + "epoch": 0.07, + "learning_rate": 9.94758803459036e-06, + "loss": 0.977, + "step": 2545 + }, + { + "epoch": 0.07, + "learning_rate": 9.947519305421712e-06, + "loss": 0.896, + "step": 2546 + }, + { + "epoch": 0.07, + "learning_rate": 9.947450531457158e-06, + "loss": 0.8502, + "step": 2547 + }, + { + "epoch": 0.07, + "learning_rate": 9.947381712697317e-06, + "loss": 0.7931, + "step": 2548 + }, + { + "epoch": 0.07, + "learning_rate": 9.947312849142816e-06, + "loss": 0.9777, + "step": 2549 + }, + { + "epoch": 0.07, + "learning_rate": 9.947243940794278e-06, + "loss": 0.8147, + "step": 2550 + }, + { + "epoch": 0.07, + "learning_rate": 9.947174987652327e-06, + "loss": 0.8345, + "step": 2551 + }, + { + "epoch": 0.07, + "learning_rate": 9.947105989717587e-06, + "loss": 0.9718, + "step": 2552 + }, + { + "epoch": 0.08, + "learning_rate": 9.947036946990682e-06, + "loss": 0.8273, + "step": 2553 + }, + { + "epoch": 0.08, + "learning_rate": 9.946967859472239e-06, + "loss": 0.6592, + "step": 2554 + }, + { + "epoch": 0.08, + "learning_rate": 9.94689872716288e-06, + "loss": 0.8194, + "step": 2555 + }, + { + "epoch": 0.08, + "learning_rate": 9.946829550063235e-06, + "loss": 0.8385, + "step": 2556 + }, + { + "epoch": 0.08, + "learning_rate": 9.946760328173928e-06, + "loss": 1.0491, + "step": 2557 + }, + { + "epoch": 0.08, + "learning_rate": 9.946691061495586e-06, + "loss": 0.6153, + "step": 2558 + }, + { + "epoch": 0.08, + "learning_rate": 9.946621750028836e-06, + "loss": 0.8671, + "step": 2559 + }, + { + "epoch": 0.08, + "learning_rate": 9.946552393774307e-06, + "loss": 0.8762, + "step": 2560 + }, + { + "epoch": 0.08, + "learning_rate": 9.946482992732627e-06, + "loss": 0.6973, + "step": 2561 + }, + { + "epoch": 0.08, + "learning_rate": 9.946413546904421e-06, + "loss": 0.8675, + "step": 2562 + }, + { + "epoch": 0.08, + "learning_rate": 9.946344056290322e-06, + "loss": 0.801, + "step": 2563 + }, + { + "epoch": 0.08, + "learning_rate": 9.946274520890957e-06, + "loss": 0.8593, + "step": 2564 + }, + { + "epoch": 0.08, + "learning_rate": 9.946204940706953e-06, + "loss": 0.8404, + "step": 2565 + }, + { + "epoch": 0.08, + "learning_rate": 9.946135315738948e-06, + "loss": 0.8295, + "step": 2566 + }, + { + "epoch": 0.08, + "learning_rate": 9.946065645987563e-06, + "loss": 0.7976, + "step": 2567 + }, + { + "epoch": 0.08, + "learning_rate": 9.945995931453435e-06, + "loss": 0.8413, + "step": 2568 + }, + { + "epoch": 0.08, + "learning_rate": 9.945926172137194e-06, + "loss": 0.5443, + "step": 2569 + }, + { + "epoch": 0.08, + "learning_rate": 9.94585636803947e-06, + "loss": 1.0323, + "step": 2570 + }, + { + "epoch": 0.08, + "learning_rate": 9.945786519160895e-06, + "loss": 0.6691, + "step": 2571 + }, + { + "epoch": 0.08, + "learning_rate": 9.945716625502104e-06, + "loss": 0.7069, + "step": 2572 + }, + { + "epoch": 0.08, + "learning_rate": 9.945646687063729e-06, + "loss": 0.7809, + "step": 2573 + }, + { + "epoch": 0.08, + "learning_rate": 9.9455767038464e-06, + "loss": 0.9763, + "step": 2574 + }, + { + "epoch": 0.08, + "learning_rate": 9.945506675850753e-06, + "loss": 0.9854, + "step": 2575 + }, + { + "epoch": 0.08, + "learning_rate": 9.945436603077423e-06, + "loss": 0.8596, + "step": 2576 + }, + { + "epoch": 0.08, + "learning_rate": 9.945366485527044e-06, + "loss": 0.9143, + "step": 2577 + }, + { + "epoch": 0.08, + "learning_rate": 9.945296323200251e-06, + "loss": 0.7492, + "step": 2578 + }, + { + "epoch": 0.08, + "learning_rate": 9.945226116097679e-06, + "loss": 1.0124, + "step": 2579 + }, + { + "epoch": 0.08, + "learning_rate": 9.945155864219962e-06, + "loss": 0.823, + "step": 2580 + }, + { + "epoch": 0.08, + "learning_rate": 9.945085567567738e-06, + "loss": 0.6991, + "step": 2581 + }, + { + "epoch": 0.08, + "learning_rate": 9.945015226141642e-06, + "loss": 0.7097, + "step": 2582 + }, + { + "epoch": 0.08, + "learning_rate": 9.944944839942313e-06, + "loss": 0.6679, + "step": 2583 + }, + { + "epoch": 0.08, + "learning_rate": 9.944874408970386e-06, + "loss": 0.6787, + "step": 2584 + }, + { + "epoch": 0.08, + "learning_rate": 9.944803933226502e-06, + "loss": 1.1696, + "step": 2585 + }, + { + "epoch": 0.08, + "learning_rate": 9.944733412711295e-06, + "loss": 1.1556, + "step": 2586 + }, + { + "epoch": 0.08, + "learning_rate": 9.944662847425406e-06, + "loss": 0.8343, + "step": 2587 + }, + { + "epoch": 0.08, + "learning_rate": 9.944592237369473e-06, + "loss": 0.744, + "step": 2588 + }, + { + "epoch": 0.08, + "learning_rate": 9.944521582544136e-06, + "loss": 0.7686, + "step": 2589 + }, + { + "epoch": 0.08, + "learning_rate": 9.944450882950034e-06, + "loss": 0.9966, + "step": 2590 + }, + { + "epoch": 0.08, + "learning_rate": 9.944380138587808e-06, + "loss": 0.7565, + "step": 2591 + }, + { + "epoch": 0.08, + "learning_rate": 9.9443093494581e-06, + "loss": 0.8726, + "step": 2592 + }, + { + "epoch": 0.08, + "learning_rate": 9.944238515561546e-06, + "loss": 0.7873, + "step": 2593 + }, + { + "epoch": 0.08, + "learning_rate": 9.944167636898791e-06, + "loss": 0.9831, + "step": 2594 + }, + { + "epoch": 0.08, + "learning_rate": 9.944096713470477e-06, + "loss": 0.7357, + "step": 2595 + }, + { + "epoch": 0.08, + "learning_rate": 9.944025745277245e-06, + "loss": 0.9603, + "step": 2596 + }, + { + "epoch": 0.08, + "learning_rate": 9.943954732319737e-06, + "loss": 0.6145, + "step": 2597 + }, + { + "epoch": 0.08, + "learning_rate": 9.943883674598596e-06, + "loss": 0.6207, + "step": 2598 + }, + { + "epoch": 0.08, + "learning_rate": 9.943812572114468e-06, + "loss": 0.8359, + "step": 2599 + }, + { + "epoch": 0.08, + "learning_rate": 9.943741424867994e-06, + "loss": 0.7334, + "step": 2600 + }, + { + "epoch": 0.08, + "learning_rate": 9.94367023285982e-06, + "loss": 0.789, + "step": 2601 + }, + { + "epoch": 0.08, + "learning_rate": 9.943598996090589e-06, + "loss": 0.8362, + "step": 2602 + }, + { + "epoch": 0.08, + "learning_rate": 9.943527714560948e-06, + "loss": 0.8103, + "step": 2603 + }, + { + "epoch": 0.08, + "learning_rate": 9.94345638827154e-06, + "loss": 0.8897, + "step": 2604 + }, + { + "epoch": 0.08, + "learning_rate": 9.94338501722301e-06, + "loss": 0.6751, + "step": 2605 + }, + { + "epoch": 0.08, + "learning_rate": 9.943313601416009e-06, + "loss": 0.8172, + "step": 2606 + }, + { + "epoch": 0.08, + "learning_rate": 9.943242140851179e-06, + "loss": 1.079, + "step": 2607 + }, + { + "epoch": 0.08, + "learning_rate": 9.943170635529169e-06, + "loss": 0.6482, + "step": 2608 + }, + { + "epoch": 0.08, + "learning_rate": 9.943099085450627e-06, + "loss": 0.8667, + "step": 2609 + }, + { + "epoch": 0.08, + "learning_rate": 9.9430274906162e-06, + "loss": 0.7681, + "step": 2610 + }, + { + "epoch": 0.08, + "learning_rate": 9.942955851026535e-06, + "loss": 0.7888, + "step": 2611 + }, + { + "epoch": 0.08, + "learning_rate": 9.942884166682283e-06, + "loss": 0.8083, + "step": 2612 + }, + { + "epoch": 0.08, + "learning_rate": 9.94281243758409e-06, + "loss": 0.942, + "step": 2613 + }, + { + "epoch": 0.08, + "learning_rate": 9.94274066373261e-06, + "loss": 0.8589, + "step": 2614 + }, + { + "epoch": 0.08, + "learning_rate": 9.94266884512849e-06, + "loss": 0.8756, + "step": 2615 + }, + { + "epoch": 0.08, + "learning_rate": 9.942596981772378e-06, + "loss": 0.8797, + "step": 2616 + }, + { + "epoch": 0.08, + "learning_rate": 9.94252507366493e-06, + "loss": 0.82, + "step": 2617 + }, + { + "epoch": 0.08, + "learning_rate": 9.942453120806792e-06, + "loss": 0.9187, + "step": 2618 + }, + { + "epoch": 0.08, + "learning_rate": 9.94238112319862e-06, + "loss": 0.7335, + "step": 2619 + }, + { + "epoch": 0.08, + "learning_rate": 9.942309080841061e-06, + "loss": 0.622, + "step": 2620 + }, + { + "epoch": 0.08, + "learning_rate": 9.94223699373477e-06, + "loss": 0.606, + "step": 2621 + }, + { + "epoch": 0.08, + "learning_rate": 9.9421648618804e-06, + "loss": 0.7145, + "step": 2622 + }, + { + "epoch": 0.08, + "learning_rate": 9.942092685278607e-06, + "loss": 0.8671, + "step": 2623 + }, + { + "epoch": 0.08, + "learning_rate": 9.942020463930037e-06, + "loss": 0.6701, + "step": 2624 + }, + { + "epoch": 0.08, + "learning_rate": 9.94194819783535e-06, + "loss": 0.8384, + "step": 2625 + }, + { + "epoch": 0.08, + "learning_rate": 9.941875886995196e-06, + "loss": 0.8323, + "step": 2626 + }, + { + "epoch": 0.08, + "learning_rate": 9.941803531410235e-06, + "loss": 0.8283, + "step": 2627 + }, + { + "epoch": 0.08, + "learning_rate": 9.941731131081118e-06, + "loss": 0.8296, + "step": 2628 + }, + { + "epoch": 0.08, + "learning_rate": 9.941658686008501e-06, + "loss": 0.7829, + "step": 2629 + }, + { + "epoch": 0.08, + "learning_rate": 9.941586196193042e-06, + "loss": 0.7825, + "step": 2630 + }, + { + "epoch": 0.08, + "learning_rate": 9.941513661635396e-06, + "loss": 0.6572, + "step": 2631 + }, + { + "epoch": 0.08, + "learning_rate": 9.941441082336219e-06, + "loss": 0.9199, + "step": 2632 + }, + { + "epoch": 0.08, + "learning_rate": 9.941368458296168e-06, + "loss": 0.8177, + "step": 2633 + }, + { + "epoch": 0.08, + "learning_rate": 9.941295789515904e-06, + "loss": 1.0985, + "step": 2634 + }, + { + "epoch": 0.08, + "learning_rate": 9.94122307599608e-06, + "loss": 0.7585, + "step": 2635 + }, + { + "epoch": 0.08, + "learning_rate": 9.941150317737358e-06, + "loss": 0.7711, + "step": 2636 + }, + { + "epoch": 0.08, + "learning_rate": 9.941077514740397e-06, + "loss": 0.8353, + "step": 2637 + }, + { + "epoch": 0.08, + "learning_rate": 9.941004667005852e-06, + "loss": 0.8025, + "step": 2638 + }, + { + "epoch": 0.08, + "learning_rate": 9.940931774534386e-06, + "loss": 0.7111, + "step": 2639 + }, + { + "epoch": 0.08, + "learning_rate": 9.94085883732666e-06, + "loss": 1.0342, + "step": 2640 + }, + { + "epoch": 0.08, + "learning_rate": 9.94078585538333e-06, + "loss": 0.8094, + "step": 2641 + }, + { + "epoch": 0.08, + "learning_rate": 9.94071282870506e-06, + "loss": 0.8319, + "step": 2642 + }, + { + "epoch": 0.08, + "learning_rate": 9.940639757292511e-06, + "loss": 0.8594, + "step": 2643 + }, + { + "epoch": 0.08, + "learning_rate": 9.940566641146346e-06, + "loss": 1.0517, + "step": 2644 + }, + { + "epoch": 0.08, + "learning_rate": 9.940493480267224e-06, + "loss": 0.7478, + "step": 2645 + }, + { + "epoch": 0.08, + "learning_rate": 9.940420274655809e-06, + "loss": 0.7062, + "step": 2646 + }, + { + "epoch": 0.08, + "learning_rate": 9.940347024312763e-06, + "loss": 0.8435, + "step": 2647 + }, + { + "epoch": 0.08, + "learning_rate": 9.94027372923875e-06, + "loss": 0.8072, + "step": 2648 + }, + { + "epoch": 0.08, + "learning_rate": 9.940200389434433e-06, + "loss": 0.8233, + "step": 2649 + }, + { + "epoch": 0.08, + "learning_rate": 9.940127004900477e-06, + "loss": 0.9579, + "step": 2650 + }, + { + "epoch": 0.08, + "learning_rate": 9.940053575637546e-06, + "loss": 0.8784, + "step": 2651 + }, + { + "epoch": 0.08, + "learning_rate": 9.939980101646305e-06, + "loss": 0.8731, + "step": 2652 + }, + { + "epoch": 0.08, + "learning_rate": 9.939906582927416e-06, + "loss": 0.6935, + "step": 2653 + }, + { + "epoch": 0.08, + "learning_rate": 9.93983301948155e-06, + "loss": 0.9828, + "step": 2654 + }, + { + "epoch": 0.08, + "learning_rate": 9.93975941130937e-06, + "loss": 0.7429, + "step": 2655 + }, + { + "epoch": 0.08, + "learning_rate": 9.939685758411545e-06, + "loss": 0.7791, + "step": 2656 + }, + { + "epoch": 0.08, + "learning_rate": 9.939612060788739e-06, + "loss": 0.6948, + "step": 2657 + }, + { + "epoch": 0.08, + "learning_rate": 9.939538318441619e-06, + "loss": 0.7291, + "step": 2658 + }, + { + "epoch": 0.08, + "learning_rate": 9.939464531370854e-06, + "loss": 0.5838, + "step": 2659 + }, + { + "epoch": 0.08, + "learning_rate": 9.939390699577114e-06, + "loss": 1.0261, + "step": 2660 + }, + { + "epoch": 0.08, + "learning_rate": 9.939316823061065e-06, + "loss": 0.7922, + "step": 2661 + }, + { + "epoch": 0.08, + "learning_rate": 9.939242901823376e-06, + "loss": 0.7022, + "step": 2662 + }, + { + "epoch": 0.08, + "learning_rate": 9.939168935864717e-06, + "loss": 0.6028, + "step": 2663 + }, + { + "epoch": 0.08, + "learning_rate": 9.939094925185755e-06, + "loss": 0.9695, + "step": 2664 + }, + { + "epoch": 0.08, + "learning_rate": 9.939020869787165e-06, + "loss": 0.81, + "step": 2665 + }, + { + "epoch": 0.08, + "learning_rate": 9.938946769669615e-06, + "loss": 1.1083, + "step": 2666 + }, + { + "epoch": 0.08, + "learning_rate": 9.938872624833775e-06, + "loss": 0.7045, + "step": 2667 + }, + { + "epoch": 0.08, + "learning_rate": 9.938798435280316e-06, + "loss": 0.9392, + "step": 2668 + }, + { + "epoch": 0.08, + "learning_rate": 9.938724201009913e-06, + "loss": 1.0117, + "step": 2669 + }, + { + "epoch": 0.08, + "learning_rate": 9.938649922023236e-06, + "loss": 0.8295, + "step": 2670 + }, + { + "epoch": 0.08, + "learning_rate": 9.938575598320958e-06, + "loss": 0.6854, + "step": 2671 + }, + { + "epoch": 0.08, + "learning_rate": 9.93850122990375e-06, + "loss": 0.962, + "step": 2672 + }, + { + "epoch": 0.08, + "learning_rate": 9.93842681677229e-06, + "loss": 0.8809, + "step": 2673 + }, + { + "epoch": 0.08, + "learning_rate": 9.938352358927245e-06, + "loss": 0.8185, + "step": 2674 + }, + { + "epoch": 0.08, + "learning_rate": 9.938277856369295e-06, + "loss": 0.921, + "step": 2675 + }, + { + "epoch": 0.08, + "learning_rate": 9.938203309099113e-06, + "loss": 1.0146, + "step": 2676 + }, + { + "epoch": 0.08, + "learning_rate": 9.938128717117372e-06, + "loss": 0.8683, + "step": 2677 + }, + { + "epoch": 0.08, + "learning_rate": 9.938054080424748e-06, + "loss": 0.6484, + "step": 2678 + }, + { + "epoch": 0.08, + "learning_rate": 9.93797939902192e-06, + "loss": 0.7445, + "step": 2679 + }, + { + "epoch": 0.08, + "learning_rate": 9.93790467290956e-06, + "loss": 0.6037, + "step": 2680 + }, + { + "epoch": 0.08, + "learning_rate": 9.937829902088347e-06, + "loss": 1.1028, + "step": 2681 + }, + { + "epoch": 0.08, + "learning_rate": 9.937755086558956e-06, + "loss": 1.1195, + "step": 2682 + }, + { + "epoch": 0.08, + "learning_rate": 9.937680226322069e-06, + "loss": 0.8268, + "step": 2683 + }, + { + "epoch": 0.08, + "learning_rate": 9.937605321378356e-06, + "loss": 0.8897, + "step": 2684 + }, + { + "epoch": 0.08, + "learning_rate": 9.937530371728503e-06, + "loss": 0.8328, + "step": 2685 + }, + { + "epoch": 0.08, + "learning_rate": 9.937455377373184e-06, + "loss": 0.7317, + "step": 2686 + }, + { + "epoch": 0.08, + "learning_rate": 9.93738033831308e-06, + "loss": 0.8066, + "step": 2687 + }, + { + "epoch": 0.08, + "learning_rate": 9.93730525454887e-06, + "loss": 0.8726, + "step": 2688 + }, + { + "epoch": 0.08, + "learning_rate": 9.937230126081233e-06, + "loss": 0.7376, + "step": 2689 + }, + { + "epoch": 0.08, + "learning_rate": 9.937154952910849e-06, + "loss": 0.7137, + "step": 2690 + }, + { + "epoch": 0.08, + "learning_rate": 9.9370797350384e-06, + "loss": 0.7392, + "step": 2691 + }, + { + "epoch": 0.08, + "learning_rate": 9.937004472464567e-06, + "loss": 0.9695, + "step": 2692 + }, + { + "epoch": 0.08, + "learning_rate": 9.93692916519003e-06, + "loss": 0.8506, + "step": 2693 + }, + { + "epoch": 0.08, + "learning_rate": 9.936853813215473e-06, + "loss": 0.6337, + "step": 2694 + }, + { + "epoch": 0.08, + "learning_rate": 9.936778416541577e-06, + "loss": 0.9599, + "step": 2695 + }, + { + "epoch": 0.08, + "learning_rate": 9.936702975169023e-06, + "loss": 0.9452, + "step": 2696 + }, + { + "epoch": 0.08, + "learning_rate": 9.936627489098499e-06, + "loss": 0.8331, + "step": 2697 + }, + { + "epoch": 0.08, + "learning_rate": 9.936551958330683e-06, + "loss": 1.039, + "step": 2698 + }, + { + "epoch": 0.08, + "learning_rate": 9.93647638286626e-06, + "loss": 0.8101, + "step": 2699 + }, + { + "epoch": 0.08, + "learning_rate": 9.936400762705917e-06, + "loss": 0.7424, + "step": 2700 + }, + { + "epoch": 0.08, + "learning_rate": 9.936325097850337e-06, + "loss": 0.7365, + "step": 2701 + }, + { + "epoch": 0.08, + "learning_rate": 9.936249388300204e-06, + "loss": 0.6971, + "step": 2702 + }, + { + "epoch": 0.08, + "learning_rate": 9.936173634056205e-06, + "loss": 0.8285, + "step": 2703 + }, + { + "epoch": 0.08, + "learning_rate": 9.936097835119027e-06, + "loss": 0.8542, + "step": 2704 + }, + { + "epoch": 0.08, + "learning_rate": 9.936021991489353e-06, + "loss": 0.8204, + "step": 2705 + }, + { + "epoch": 0.08, + "learning_rate": 9.935946103167873e-06, + "loss": 1.0055, + "step": 2706 + }, + { + "epoch": 0.08, + "learning_rate": 9.93587017015527e-06, + "loss": 0.8173, + "step": 2707 + }, + { + "epoch": 0.08, + "learning_rate": 9.935794192452238e-06, + "loss": 0.4634, + "step": 2708 + }, + { + "epoch": 0.08, + "learning_rate": 9.935718170059458e-06, + "loss": 0.9535, + "step": 2709 + }, + { + "epoch": 0.08, + "learning_rate": 9.935642102977622e-06, + "loss": 0.6855, + "step": 2710 + }, + { + "epoch": 0.08, + "learning_rate": 9.935565991207419e-06, + "loss": 0.5606, + "step": 2711 + }, + { + "epoch": 0.08, + "learning_rate": 9.935489834749536e-06, + "loss": 0.8753, + "step": 2712 + }, + { + "epoch": 0.08, + "learning_rate": 9.935413633604665e-06, + "loss": 0.8728, + "step": 2713 + }, + { + "epoch": 0.08, + "learning_rate": 9.935337387773495e-06, + "loss": 0.8388, + "step": 2714 + }, + { + "epoch": 0.08, + "learning_rate": 9.935261097256714e-06, + "loss": 0.6703, + "step": 2715 + }, + { + "epoch": 0.08, + "learning_rate": 9.935184762055016e-06, + "loss": 0.777, + "step": 2716 + }, + { + "epoch": 0.08, + "learning_rate": 9.935108382169092e-06, + "loss": 0.9995, + "step": 2717 + }, + { + "epoch": 0.08, + "learning_rate": 9.935031957599633e-06, + "loss": 0.5986, + "step": 2718 + }, + { + "epoch": 0.08, + "learning_rate": 9.93495548834733e-06, + "loss": 0.8339, + "step": 2719 + }, + { + "epoch": 0.08, + "learning_rate": 9.934878974412874e-06, + "loss": 1.1283, + "step": 2720 + }, + { + "epoch": 0.08, + "learning_rate": 9.93480241579696e-06, + "loss": 0.9211, + "step": 2721 + }, + { + "epoch": 0.08, + "learning_rate": 9.934725812500281e-06, + "loss": 0.7147, + "step": 2722 + }, + { + "epoch": 0.08, + "learning_rate": 9.934649164523531e-06, + "loss": 0.9207, + "step": 2723 + }, + { + "epoch": 0.08, + "learning_rate": 9.934572471867404e-06, + "loss": 0.677, + "step": 2724 + }, + { + "epoch": 0.08, + "learning_rate": 9.934495734532593e-06, + "loss": 0.8571, + "step": 2725 + }, + { + "epoch": 0.08, + "learning_rate": 9.934418952519793e-06, + "loss": 1.0278, + "step": 2726 + }, + { + "epoch": 0.08, + "learning_rate": 9.934342125829701e-06, + "loss": 0.8014, + "step": 2727 + }, + { + "epoch": 0.08, + "learning_rate": 9.934265254463012e-06, + "loss": 0.8773, + "step": 2728 + }, + { + "epoch": 0.08, + "learning_rate": 9.93418833842042e-06, + "loss": 0.6958, + "step": 2729 + }, + { + "epoch": 0.08, + "learning_rate": 9.934111377702622e-06, + "loss": 0.7568, + "step": 2730 + }, + { + "epoch": 0.08, + "learning_rate": 9.934034372310318e-06, + "loss": 0.9655, + "step": 2731 + }, + { + "epoch": 0.08, + "learning_rate": 9.9339573222442e-06, + "loss": 0.602, + "step": 2732 + }, + { + "epoch": 0.08, + "learning_rate": 9.93388022750497e-06, + "loss": 0.916, + "step": 2733 + }, + { + "epoch": 0.08, + "learning_rate": 9.933803088093325e-06, + "loss": 0.7294, + "step": 2734 + }, + { + "epoch": 0.08, + "learning_rate": 9.933725904009963e-06, + "loss": 0.7374, + "step": 2735 + }, + { + "epoch": 0.08, + "learning_rate": 9.933648675255583e-06, + "loss": 0.7872, + "step": 2736 + }, + { + "epoch": 0.08, + "learning_rate": 9.933571401830883e-06, + "loss": 0.8491, + "step": 2737 + }, + { + "epoch": 0.08, + "learning_rate": 9.933494083736563e-06, + "loss": 0.8816, + "step": 2738 + }, + { + "epoch": 0.08, + "learning_rate": 9.933416720973326e-06, + "loss": 0.7338, + "step": 2739 + }, + { + "epoch": 0.08, + "learning_rate": 9.933339313541868e-06, + "loss": 0.8149, + "step": 2740 + }, + { + "epoch": 0.08, + "learning_rate": 9.933261861442894e-06, + "loss": 0.5949, + "step": 2741 + }, + { + "epoch": 0.08, + "learning_rate": 9.933184364677103e-06, + "loss": 0.8581, + "step": 2742 + }, + { + "epoch": 0.08, + "learning_rate": 9.933106823245195e-06, + "loss": 1.0612, + "step": 2743 + }, + { + "epoch": 0.08, + "learning_rate": 9.933029237147876e-06, + "loss": 1.0651, + "step": 2744 + }, + { + "epoch": 0.08, + "learning_rate": 9.932951606385846e-06, + "loss": 0.6446, + "step": 2745 + }, + { + "epoch": 0.08, + "learning_rate": 9.932873930959808e-06, + "loss": 0.7687, + "step": 2746 + }, + { + "epoch": 0.08, + "learning_rate": 9.932796210870467e-06, + "loss": 0.6681, + "step": 2747 + }, + { + "epoch": 0.08, + "learning_rate": 9.932718446118524e-06, + "loss": 0.9168, + "step": 2748 + }, + { + "epoch": 0.08, + "learning_rate": 9.932640636704687e-06, + "loss": 0.6592, + "step": 2749 + }, + { + "epoch": 0.08, + "learning_rate": 9.932562782629656e-06, + "loss": 0.7916, + "step": 2750 + }, + { + "epoch": 0.08, + "learning_rate": 9.932484883894137e-06, + "loss": 0.7539, + "step": 2751 + }, + { + "epoch": 0.08, + "learning_rate": 9.932406940498838e-06, + "loss": 0.7246, + "step": 2752 + }, + { + "epoch": 0.08, + "learning_rate": 9.93232895244446e-06, + "loss": 1.1483, + "step": 2753 + }, + { + "epoch": 0.08, + "learning_rate": 9.932250919731716e-06, + "loss": 0.8056, + "step": 2754 + }, + { + "epoch": 0.08, + "learning_rate": 9.932172842361308e-06, + "loss": 0.9602, + "step": 2755 + }, + { + "epoch": 0.08, + "learning_rate": 9.932094720333943e-06, + "loss": 0.8622, + "step": 2756 + }, + { + "epoch": 0.08, + "learning_rate": 9.932016553650328e-06, + "loss": 0.7674, + "step": 2757 + }, + { + "epoch": 0.08, + "learning_rate": 9.931938342311172e-06, + "loss": 0.6867, + "step": 2758 + }, + { + "epoch": 0.08, + "learning_rate": 9.931860086317182e-06, + "loss": 0.8865, + "step": 2759 + }, + { + "epoch": 0.08, + "learning_rate": 9.93178178566907e-06, + "loss": 0.6819, + "step": 2760 + }, + { + "epoch": 0.08, + "learning_rate": 9.93170344036754e-06, + "loss": 0.7078, + "step": 2761 + }, + { + "epoch": 0.08, + "learning_rate": 9.931625050413302e-06, + "loss": 0.7231, + "step": 2762 + }, + { + "epoch": 0.08, + "learning_rate": 9.93154661580707e-06, + "loss": 0.7402, + "step": 2763 + }, + { + "epoch": 0.08, + "learning_rate": 9.931468136549552e-06, + "loss": 0.791, + "step": 2764 + }, + { + "epoch": 0.08, + "learning_rate": 9.931389612641458e-06, + "loss": 0.635, + "step": 2765 + }, + { + "epoch": 0.08, + "learning_rate": 9.931311044083499e-06, + "loss": 0.738, + "step": 2766 + }, + { + "epoch": 0.08, + "learning_rate": 9.931232430876383e-06, + "loss": 0.9878, + "step": 2767 + }, + { + "epoch": 0.08, + "learning_rate": 9.93115377302083e-06, + "loss": 0.7848, + "step": 2768 + }, + { + "epoch": 0.08, + "learning_rate": 9.931075070517545e-06, + "loss": 0.8604, + "step": 2769 + }, + { + "epoch": 0.08, + "learning_rate": 9.930996323367243e-06, + "loss": 1.0292, + "step": 2770 + }, + { + "epoch": 0.08, + "learning_rate": 9.930917531570637e-06, + "loss": 0.5295, + "step": 2771 + }, + { + "epoch": 0.08, + "learning_rate": 9.93083869512844e-06, + "loss": 0.9469, + "step": 2772 + }, + { + "epoch": 0.08, + "learning_rate": 9.930759814041367e-06, + "loss": 0.7407, + "step": 2773 + }, + { + "epoch": 0.08, + "learning_rate": 9.930680888310132e-06, + "loss": 0.8905, + "step": 2774 + }, + { + "epoch": 0.08, + "learning_rate": 9.930601917935447e-06, + "loss": 0.6551, + "step": 2775 + }, + { + "epoch": 0.08, + "learning_rate": 9.930522902918032e-06, + "loss": 0.629, + "step": 2776 + }, + { + "epoch": 0.08, + "learning_rate": 9.930443843258597e-06, + "loss": 0.8321, + "step": 2777 + }, + { + "epoch": 0.08, + "learning_rate": 9.930364738957861e-06, + "loss": 0.8349, + "step": 2778 + }, + { + "epoch": 0.08, + "learning_rate": 9.93028559001654e-06, + "loss": 0.6391, + "step": 2779 + }, + { + "epoch": 0.08, + "learning_rate": 9.93020639643535e-06, + "loss": 0.78, + "step": 2780 + }, + { + "epoch": 0.08, + "learning_rate": 9.930127158215008e-06, + "loss": 0.7674, + "step": 2781 + }, + { + "epoch": 0.08, + "learning_rate": 9.930047875356231e-06, + "loss": 0.6841, + "step": 2782 + }, + { + "epoch": 0.08, + "learning_rate": 9.929968547859739e-06, + "loss": 0.8911, + "step": 2783 + }, + { + "epoch": 0.08, + "learning_rate": 9.929889175726248e-06, + "loss": 0.5401, + "step": 2784 + }, + { + "epoch": 0.08, + "learning_rate": 9.929809758956477e-06, + "loss": 0.655, + "step": 2785 + }, + { + "epoch": 0.08, + "learning_rate": 9.929730297551146e-06, + "loss": 0.5923, + "step": 2786 + }, + { + "epoch": 0.08, + "learning_rate": 9.929650791510972e-06, + "loss": 0.8343, + "step": 2787 + }, + { + "epoch": 0.08, + "learning_rate": 9.92957124083668e-06, + "loss": 0.9716, + "step": 2788 + }, + { + "epoch": 0.08, + "learning_rate": 9.929491645528984e-06, + "loss": 0.8014, + "step": 2789 + }, + { + "epoch": 0.08, + "learning_rate": 9.929412005588608e-06, + "loss": 0.7164, + "step": 2790 + }, + { + "epoch": 0.08, + "learning_rate": 9.929332321016274e-06, + "loss": 0.7233, + "step": 2791 + }, + { + "epoch": 0.08, + "learning_rate": 9.929252591812701e-06, + "loss": 0.8988, + "step": 2792 + }, + { + "epoch": 0.08, + "learning_rate": 9.929172817978614e-06, + "loss": 0.8965, + "step": 2793 + }, + { + "epoch": 0.08, + "learning_rate": 9.929092999514732e-06, + "loss": 0.808, + "step": 2794 + }, + { + "epoch": 0.08, + "learning_rate": 9.92901313642178e-06, + "loss": 0.8787, + "step": 2795 + }, + { + "epoch": 0.08, + "learning_rate": 9.928933228700479e-06, + "loss": 0.7889, + "step": 2796 + }, + { + "epoch": 0.08, + "learning_rate": 9.928853276351554e-06, + "loss": 0.8206, + "step": 2797 + }, + { + "epoch": 0.08, + "learning_rate": 9.92877327937573e-06, + "loss": 0.9236, + "step": 2798 + }, + { + "epoch": 0.08, + "learning_rate": 9.928693237773728e-06, + "loss": 0.6715, + "step": 2799 + }, + { + "epoch": 0.08, + "learning_rate": 9.928613151546275e-06, + "loss": 0.785, + "step": 2800 + }, + { + "epoch": 0.08, + "learning_rate": 9.928533020694096e-06, + "loss": 0.6437, + "step": 2801 + }, + { + "epoch": 0.08, + "learning_rate": 9.928452845217917e-06, + "loss": 0.8699, + "step": 2802 + }, + { + "epoch": 0.08, + "learning_rate": 9.928372625118463e-06, + "loss": 0.765, + "step": 2803 + }, + { + "epoch": 0.08, + "learning_rate": 9.92829236039646e-06, + "loss": 0.9813, + "step": 2804 + }, + { + "epoch": 0.08, + "learning_rate": 9.928212051052636e-06, + "loss": 0.8895, + "step": 2805 + }, + { + "epoch": 0.08, + "learning_rate": 9.928131697087718e-06, + "loss": 0.7106, + "step": 2806 + }, + { + "epoch": 0.08, + "learning_rate": 9.92805129850243e-06, + "loss": 0.8945, + "step": 2807 + }, + { + "epoch": 0.08, + "learning_rate": 9.927970855297507e-06, + "loss": 0.7364, + "step": 2808 + }, + { + "epoch": 0.08, + "learning_rate": 9.92789036747367e-06, + "loss": 0.6171, + "step": 2809 + }, + { + "epoch": 0.08, + "learning_rate": 9.927809835031652e-06, + "loss": 0.6559, + "step": 2810 + }, + { + "epoch": 0.08, + "learning_rate": 9.92772925797218e-06, + "loss": 0.7319, + "step": 2811 + }, + { + "epoch": 0.08, + "learning_rate": 9.927648636295987e-06, + "loss": 0.8118, + "step": 2812 + }, + { + "epoch": 0.08, + "learning_rate": 9.927567970003799e-06, + "loss": 0.9824, + "step": 2813 + }, + { + "epoch": 0.08, + "learning_rate": 9.927487259096349e-06, + "loss": 0.8173, + "step": 2814 + }, + { + "epoch": 0.08, + "learning_rate": 9.927406503574368e-06, + "loss": 0.9592, + "step": 2815 + }, + { + "epoch": 0.08, + "learning_rate": 9.927325703438585e-06, + "loss": 0.8361, + "step": 2816 + }, + { + "epoch": 0.08, + "learning_rate": 9.92724485868973e-06, + "loss": 1.0573, + "step": 2817 + }, + { + "epoch": 0.08, + "learning_rate": 9.927163969328541e-06, + "loss": 0.6982, + "step": 2818 + }, + { + "epoch": 0.08, + "learning_rate": 9.927083035355745e-06, + "loss": 0.8681, + "step": 2819 + }, + { + "epoch": 0.08, + "learning_rate": 9.927002056772077e-06, + "loss": 0.6821, + "step": 2820 + }, + { + "epoch": 0.08, + "learning_rate": 9.92692103357827e-06, + "loss": 0.7477, + "step": 2821 + }, + { + "epoch": 0.08, + "learning_rate": 9.926839965775058e-06, + "loss": 0.792, + "step": 2822 + }, + { + "epoch": 0.08, + "learning_rate": 9.926758853363175e-06, + "loss": 0.8205, + "step": 2823 + }, + { + "epoch": 0.08, + "learning_rate": 9.926677696343355e-06, + "loss": 0.7558, + "step": 2824 + }, + { + "epoch": 0.08, + "learning_rate": 9.926596494716332e-06, + "loss": 0.7761, + "step": 2825 + }, + { + "epoch": 0.08, + "learning_rate": 9.926515248482843e-06, + "loss": 0.8251, + "step": 2826 + }, + { + "epoch": 0.08, + "learning_rate": 9.926433957643621e-06, + "loss": 0.6461, + "step": 2827 + }, + { + "epoch": 0.08, + "learning_rate": 9.926352622199404e-06, + "loss": 0.8632, + "step": 2828 + }, + { + "epoch": 0.08, + "learning_rate": 9.926271242150928e-06, + "loss": 0.9548, + "step": 2829 + }, + { + "epoch": 0.08, + "learning_rate": 9.926189817498931e-06, + "loss": 0.7391, + "step": 2830 + }, + { + "epoch": 0.08, + "learning_rate": 9.926108348244149e-06, + "loss": 0.9778, + "step": 2831 + }, + { + "epoch": 0.08, + "learning_rate": 9.926026834387319e-06, + "loss": 0.7301, + "step": 2832 + }, + { + "epoch": 0.08, + "learning_rate": 9.925945275929181e-06, + "loss": 0.8985, + "step": 2833 + }, + { + "epoch": 0.08, + "learning_rate": 9.92586367287047e-06, + "loss": 0.6882, + "step": 2834 + }, + { + "epoch": 0.08, + "learning_rate": 9.92578202521193e-06, + "loss": 0.6767, + "step": 2835 + }, + { + "epoch": 0.08, + "learning_rate": 9.925700332954295e-06, + "loss": 0.7526, + "step": 2836 + }, + { + "epoch": 0.08, + "learning_rate": 9.925618596098308e-06, + "loss": 0.7931, + "step": 2837 + }, + { + "epoch": 0.08, + "learning_rate": 9.92553681464471e-06, + "loss": 0.8401, + "step": 2838 + }, + { + "epoch": 0.08, + "learning_rate": 9.925454988594236e-06, + "loss": 0.914, + "step": 2839 + }, + { + "epoch": 0.08, + "learning_rate": 9.925373117947633e-06, + "loss": 0.7845, + "step": 2840 + }, + { + "epoch": 0.08, + "learning_rate": 9.925291202705638e-06, + "loss": 0.8985, + "step": 2841 + }, + { + "epoch": 0.08, + "learning_rate": 9.925209242868995e-06, + "loss": 1.0318, + "step": 2842 + }, + { + "epoch": 0.08, + "learning_rate": 9.925127238438446e-06, + "loss": 0.5796, + "step": 2843 + }, + { + "epoch": 0.08, + "learning_rate": 9.925045189414733e-06, + "loss": 0.6572, + "step": 2844 + }, + { + "epoch": 0.08, + "learning_rate": 9.924963095798599e-06, + "loss": 0.7351, + "step": 2845 + }, + { + "epoch": 0.08, + "learning_rate": 9.924880957590788e-06, + "loss": 0.7174, + "step": 2846 + }, + { + "epoch": 0.08, + "learning_rate": 9.924798774792041e-06, + "loss": 0.7803, + "step": 2847 + }, + { + "epoch": 0.08, + "learning_rate": 9.924716547403103e-06, + "loss": 0.7533, + "step": 2848 + }, + { + "epoch": 0.08, + "learning_rate": 9.924634275424722e-06, + "loss": 0.7647, + "step": 2849 + }, + { + "epoch": 0.08, + "learning_rate": 9.92455195885764e-06, + "loss": 1.0777, + "step": 2850 + }, + { + "epoch": 0.08, + "learning_rate": 9.924469597702602e-06, + "loss": 0.833, + "step": 2851 + }, + { + "epoch": 0.08, + "learning_rate": 9.924387191960353e-06, + "loss": 0.8311, + "step": 2852 + }, + { + "epoch": 0.08, + "learning_rate": 9.924304741631644e-06, + "loss": 0.8385, + "step": 2853 + }, + { + "epoch": 0.08, + "learning_rate": 9.924222246717215e-06, + "loss": 0.8169, + "step": 2854 + }, + { + "epoch": 0.08, + "learning_rate": 9.924139707217817e-06, + "loss": 0.9242, + "step": 2855 + }, + { + "epoch": 0.08, + "learning_rate": 9.924057123134197e-06, + "loss": 0.8917, + "step": 2856 + }, + { + "epoch": 0.08, + "learning_rate": 9.9239744944671e-06, + "loss": 0.7321, + "step": 2857 + }, + { + "epoch": 0.08, + "learning_rate": 9.923891821217277e-06, + "loss": 0.9611, + "step": 2858 + }, + { + "epoch": 0.08, + "learning_rate": 9.923809103385476e-06, + "loss": 0.7691, + "step": 2859 + }, + { + "epoch": 0.08, + "learning_rate": 9.923726340972446e-06, + "loss": 0.6457, + "step": 2860 + }, + { + "epoch": 0.08, + "learning_rate": 9.923643533978937e-06, + "loss": 0.7681, + "step": 2861 + }, + { + "epoch": 0.08, + "learning_rate": 9.923560682405695e-06, + "loss": 0.6888, + "step": 2862 + }, + { + "epoch": 0.08, + "learning_rate": 9.923477786253474e-06, + "loss": 0.9534, + "step": 2863 + }, + { + "epoch": 0.08, + "learning_rate": 9.923394845523024e-06, + "loss": 0.588, + "step": 2864 + }, + { + "epoch": 0.08, + "learning_rate": 9.923311860215096e-06, + "loss": 0.8127, + "step": 2865 + }, + { + "epoch": 0.08, + "learning_rate": 9.92322883033044e-06, + "loss": 0.7208, + "step": 2866 + }, + { + "epoch": 0.08, + "learning_rate": 9.923145755869808e-06, + "loss": 0.9202, + "step": 2867 + }, + { + "epoch": 0.08, + "learning_rate": 9.923062636833953e-06, + "loss": 0.9797, + "step": 2868 + }, + { + "epoch": 0.08, + "learning_rate": 9.922979473223629e-06, + "loss": 0.9712, + "step": 2869 + }, + { + "epoch": 0.08, + "learning_rate": 9.922896265039586e-06, + "loss": 0.5868, + "step": 2870 + }, + { + "epoch": 0.08, + "learning_rate": 9.922813012282577e-06, + "loss": 0.7729, + "step": 2871 + }, + { + "epoch": 0.08, + "learning_rate": 9.92272971495336e-06, + "loss": 0.5856, + "step": 2872 + }, + { + "epoch": 0.08, + "learning_rate": 9.922646373052685e-06, + "loss": 0.798, + "step": 2873 + }, + { + "epoch": 0.08, + "learning_rate": 9.92256298658131e-06, + "loss": 0.8769, + "step": 2874 + }, + { + "epoch": 0.08, + "learning_rate": 9.922479555539987e-06, + "loss": 0.8273, + "step": 2875 + }, + { + "epoch": 0.08, + "learning_rate": 9.922396079929472e-06, + "loss": 0.6209, + "step": 2876 + }, + { + "epoch": 0.08, + "learning_rate": 9.922312559750521e-06, + "loss": 0.8308, + "step": 2877 + }, + { + "epoch": 0.08, + "learning_rate": 9.922228995003894e-06, + "loss": 0.9863, + "step": 2878 + }, + { + "epoch": 0.08, + "learning_rate": 9.922145385690343e-06, + "loss": 0.5575, + "step": 2879 + }, + { + "epoch": 0.08, + "learning_rate": 9.922061731810625e-06, + "loss": 0.7464, + "step": 2880 + }, + { + "epoch": 0.08, + "learning_rate": 9.9219780333655e-06, + "loss": 0.904, + "step": 2881 + }, + { + "epoch": 0.08, + "learning_rate": 9.921894290355723e-06, + "loss": 1.1651, + "step": 2882 + }, + { + "epoch": 0.08, + "learning_rate": 9.921810502782055e-06, + "loss": 0.9538, + "step": 2883 + }, + { + "epoch": 0.08, + "learning_rate": 9.921726670645253e-06, + "loss": 0.8232, + "step": 2884 + }, + { + "epoch": 0.08, + "learning_rate": 9.921642793946075e-06, + "loss": 0.7196, + "step": 2885 + }, + { + "epoch": 0.08, + "learning_rate": 9.921558872685284e-06, + "loss": 0.6869, + "step": 2886 + }, + { + "epoch": 0.08, + "learning_rate": 9.921474906863637e-06, + "loss": 0.9494, + "step": 2887 + }, + { + "epoch": 0.08, + "learning_rate": 9.921390896481894e-06, + "loss": 0.7265, + "step": 2888 + }, + { + "epoch": 0.08, + "learning_rate": 9.921306841540819e-06, + "loss": 0.8785, + "step": 2889 + }, + { + "epoch": 0.08, + "learning_rate": 9.92122274204117e-06, + "loss": 0.6372, + "step": 2890 + }, + { + "epoch": 0.08, + "learning_rate": 9.921138597983708e-06, + "loss": 1.0781, + "step": 2891 + }, + { + "epoch": 0.08, + "learning_rate": 9.921054409369197e-06, + "loss": 0.8341, + "step": 2892 + }, + { + "epoch": 0.08, + "learning_rate": 9.920970176198396e-06, + "loss": 0.9586, + "step": 2893 + }, + { + "epoch": 0.09, + "learning_rate": 9.920885898472073e-06, + "loss": 0.7796, + "step": 2894 + }, + { + "epoch": 0.09, + "learning_rate": 9.920801576190985e-06, + "loss": 0.8384, + "step": 2895 + }, + { + "epoch": 0.09, + "learning_rate": 9.920717209355902e-06, + "loss": 0.6478, + "step": 2896 + }, + { + "epoch": 0.09, + "learning_rate": 9.920632797967582e-06, + "loss": 0.6983, + "step": 2897 + }, + { + "epoch": 0.09, + "learning_rate": 9.92054834202679e-06, + "loss": 0.5251, + "step": 2898 + }, + { + "epoch": 0.09, + "learning_rate": 9.920463841534295e-06, + "loss": 0.8408, + "step": 2899 + }, + { + "epoch": 0.09, + "learning_rate": 9.92037929649086e-06, + "loss": 0.7933, + "step": 2900 + }, + { + "epoch": 0.09, + "learning_rate": 9.920294706897247e-06, + "loss": 0.9417, + "step": 2901 + }, + { + "epoch": 0.09, + "learning_rate": 9.920210072754226e-06, + "loss": 0.7102, + "step": 2902 + }, + { + "epoch": 0.09, + "learning_rate": 9.920125394062563e-06, + "loss": 1.0649, + "step": 2903 + }, + { + "epoch": 0.09, + "learning_rate": 9.920040670823022e-06, + "loss": 0.8285, + "step": 2904 + }, + { + "epoch": 0.09, + "learning_rate": 9.919955903036374e-06, + "loss": 1.0728, + "step": 2905 + }, + { + "epoch": 0.09, + "learning_rate": 9.919871090703382e-06, + "loss": 0.968, + "step": 2906 + }, + { + "epoch": 0.09, + "learning_rate": 9.919786233824817e-06, + "loss": 0.7493, + "step": 2907 + }, + { + "epoch": 0.09, + "learning_rate": 9.919701332401448e-06, + "loss": 0.8197, + "step": 2908 + }, + { + "epoch": 0.09, + "learning_rate": 9.919616386434042e-06, + "loss": 0.7876, + "step": 2909 + }, + { + "epoch": 0.09, + "learning_rate": 9.919531395923366e-06, + "loss": 0.9384, + "step": 2910 + }, + { + "epoch": 0.09, + "learning_rate": 9.919446360870194e-06, + "loss": 0.8718, + "step": 2911 + }, + { + "epoch": 0.09, + "learning_rate": 9.919361281275293e-06, + "loss": 1.028, + "step": 2912 + }, + { + "epoch": 0.09, + "learning_rate": 9.919276157139434e-06, + "loss": 0.7211, + "step": 2913 + }, + { + "epoch": 0.09, + "learning_rate": 9.91919098846339e-06, + "loss": 0.6724, + "step": 2914 + }, + { + "epoch": 0.09, + "learning_rate": 9.919105775247928e-06, + "loss": 0.8424, + "step": 2915 + }, + { + "epoch": 0.09, + "learning_rate": 9.919020517493823e-06, + "loss": 0.8928, + "step": 2916 + }, + { + "epoch": 0.09, + "learning_rate": 9.918935215201844e-06, + "loss": 0.6624, + "step": 2917 + }, + { + "epoch": 0.09, + "learning_rate": 9.918849868372766e-06, + "loss": 0.7902, + "step": 2918 + }, + { + "epoch": 0.09, + "learning_rate": 9.91876447700736e-06, + "loss": 0.9814, + "step": 2919 + }, + { + "epoch": 0.09, + "learning_rate": 9.9186790411064e-06, + "loss": 0.9687, + "step": 2920 + }, + { + "epoch": 0.09, + "learning_rate": 9.91859356067066e-06, + "loss": 0.7994, + "step": 2921 + }, + { + "epoch": 0.09, + "learning_rate": 9.918508035700911e-06, + "loss": 0.7927, + "step": 2922 + }, + { + "epoch": 0.09, + "learning_rate": 9.918422466197932e-06, + "loss": 0.5813, + "step": 2923 + }, + { + "epoch": 0.09, + "learning_rate": 9.918336852162494e-06, + "loss": 0.9787, + "step": 2924 + }, + { + "epoch": 0.09, + "learning_rate": 9.918251193595374e-06, + "loss": 0.7768, + "step": 2925 + }, + { + "epoch": 0.09, + "learning_rate": 9.918165490497349e-06, + "loss": 0.9372, + "step": 2926 + }, + { + "epoch": 0.09, + "learning_rate": 9.918079742869191e-06, + "loss": 0.7207, + "step": 2927 + }, + { + "epoch": 0.09, + "learning_rate": 9.917993950711679e-06, + "loss": 0.7625, + "step": 2928 + }, + { + "epoch": 0.09, + "learning_rate": 9.917908114025589e-06, + "loss": 0.8893, + "step": 2929 + }, + { + "epoch": 0.09, + "learning_rate": 9.917822232811698e-06, + "loss": 0.8797, + "step": 2930 + }, + { + "epoch": 0.09, + "learning_rate": 9.917736307070787e-06, + "loss": 0.7243, + "step": 2931 + }, + { + "epoch": 0.09, + "learning_rate": 9.917650336803629e-06, + "loss": 0.8878, + "step": 2932 + }, + { + "epoch": 0.09, + "learning_rate": 9.917564322011003e-06, + "loss": 0.8591, + "step": 2933 + }, + { + "epoch": 0.09, + "learning_rate": 9.91747826269369e-06, + "loss": 0.6594, + "step": 2934 + }, + { + "epoch": 0.09, + "learning_rate": 9.91739215885247e-06, + "loss": 0.5807, + "step": 2935 + }, + { + "epoch": 0.09, + "learning_rate": 9.917306010488118e-06, + "loss": 0.6381, + "step": 2936 + }, + { + "epoch": 0.09, + "learning_rate": 9.917219817601421e-06, + "loss": 0.6633, + "step": 2937 + }, + { + "epoch": 0.09, + "learning_rate": 9.917133580193153e-06, + "loss": 0.6316, + "step": 2938 + }, + { + "epoch": 0.09, + "learning_rate": 9.9170472982641e-06, + "loss": 0.8314, + "step": 2939 + }, + { + "epoch": 0.09, + "learning_rate": 9.916960971815038e-06, + "loss": 0.7165, + "step": 2940 + }, + { + "epoch": 0.09, + "learning_rate": 9.91687460084675e-06, + "loss": 0.8246, + "step": 2941 + }, + { + "epoch": 0.09, + "learning_rate": 9.916788185360021e-06, + "loss": 0.9248, + "step": 2942 + }, + { + "epoch": 0.09, + "learning_rate": 9.916701725355632e-06, + "loss": 0.5838, + "step": 2943 + }, + { + "epoch": 0.09, + "learning_rate": 9.916615220834363e-06, + "loss": 0.8833, + "step": 2944 + }, + { + "epoch": 0.09, + "learning_rate": 9.916528671797001e-06, + "loss": 0.5049, + "step": 2945 + }, + { + "epoch": 0.09, + "learning_rate": 9.916442078244328e-06, + "loss": 0.776, + "step": 2946 + }, + { + "epoch": 0.09, + "learning_rate": 9.91635544017713e-06, + "loss": 0.6405, + "step": 2947 + }, + { + "epoch": 0.09, + "learning_rate": 9.916268757596188e-06, + "loss": 1.0831, + "step": 2948 + }, + { + "epoch": 0.09, + "learning_rate": 9.916182030502287e-06, + "loss": 0.7777, + "step": 2949 + }, + { + "epoch": 0.09, + "learning_rate": 9.916095258896218e-06, + "loss": 0.6341, + "step": 2950 + }, + { + "epoch": 0.09, + "learning_rate": 9.91600844277876e-06, + "loss": 0.8307, + "step": 2951 + }, + { + "epoch": 0.09, + "learning_rate": 9.915921582150702e-06, + "loss": 0.7816, + "step": 2952 + }, + { + "epoch": 0.09, + "learning_rate": 9.91583467701283e-06, + "loss": 0.8192, + "step": 2953 + }, + { + "epoch": 0.09, + "learning_rate": 9.915747727365929e-06, + "loss": 0.838, + "step": 2954 + }, + { + "epoch": 0.09, + "learning_rate": 9.91566073321079e-06, + "loss": 0.8039, + "step": 2955 + }, + { + "epoch": 0.09, + "learning_rate": 9.915573694548199e-06, + "loss": 0.8071, + "step": 2956 + }, + { + "epoch": 0.09, + "learning_rate": 9.915486611378942e-06, + "loss": 0.5932, + "step": 2957 + }, + { + "epoch": 0.09, + "learning_rate": 9.915399483703811e-06, + "loss": 0.8595, + "step": 2958 + }, + { + "epoch": 0.09, + "learning_rate": 9.915312311523593e-06, + "loss": 1.036, + "step": 2959 + }, + { + "epoch": 0.09, + "learning_rate": 9.915225094839075e-06, + "loss": 0.8738, + "step": 2960 + }, + { + "epoch": 0.09, + "learning_rate": 9.915137833651052e-06, + "loss": 1.0105, + "step": 2961 + }, + { + "epoch": 0.09, + "learning_rate": 9.91505052796031e-06, + "loss": 0.7844, + "step": 2962 + }, + { + "epoch": 0.09, + "learning_rate": 9.914963177767643e-06, + "loss": 0.7805, + "step": 2963 + }, + { + "epoch": 0.09, + "learning_rate": 9.914875783073836e-06, + "loss": 0.834, + "step": 2964 + }, + { + "epoch": 0.09, + "learning_rate": 9.914788343879685e-06, + "loss": 0.6811, + "step": 2965 + }, + { + "epoch": 0.09, + "learning_rate": 9.914700860185982e-06, + "loss": 0.5833, + "step": 2966 + }, + { + "epoch": 0.09, + "learning_rate": 9.914613331993517e-06, + "loss": 0.7491, + "step": 2967 + }, + { + "epoch": 0.09, + "learning_rate": 9.914525759303082e-06, + "loss": 1.1139, + "step": 2968 + }, + { + "epoch": 0.09, + "learning_rate": 9.914438142115471e-06, + "loss": 0.8755, + "step": 2969 + }, + { + "epoch": 0.09, + "learning_rate": 9.914350480431478e-06, + "loss": 0.6488, + "step": 2970 + }, + { + "epoch": 0.09, + "learning_rate": 9.914262774251897e-06, + "loss": 0.8007, + "step": 2971 + }, + { + "epoch": 0.09, + "learning_rate": 9.914175023577519e-06, + "loss": 0.7458, + "step": 2972 + }, + { + "epoch": 0.09, + "learning_rate": 9.914087228409143e-06, + "loss": 0.9087, + "step": 2973 + }, + { + "epoch": 0.09, + "learning_rate": 9.913999388747561e-06, + "loss": 0.7502, + "step": 2974 + }, + { + "epoch": 0.09, + "learning_rate": 9.913911504593568e-06, + "loss": 0.6588, + "step": 2975 + }, + { + "epoch": 0.09, + "learning_rate": 9.91382357594796e-06, + "loss": 0.6866, + "step": 2976 + }, + { + "epoch": 0.09, + "learning_rate": 9.913735602811536e-06, + "loss": 0.7165, + "step": 2977 + }, + { + "epoch": 0.09, + "learning_rate": 9.913647585185088e-06, + "loss": 0.8007, + "step": 2978 + }, + { + "epoch": 0.09, + "learning_rate": 9.913559523069419e-06, + "loss": 0.9428, + "step": 2979 + }, + { + "epoch": 0.09, + "learning_rate": 9.913471416465319e-06, + "loss": 0.8717, + "step": 2980 + }, + { + "epoch": 0.09, + "learning_rate": 9.91338326537359e-06, + "loss": 0.8813, + "step": 2981 + }, + { + "epoch": 0.09, + "learning_rate": 9.913295069795029e-06, + "loss": 0.7372, + "step": 2982 + }, + { + "epoch": 0.09, + "learning_rate": 9.913206829730436e-06, + "loss": 0.6372, + "step": 2983 + }, + { + "epoch": 0.09, + "learning_rate": 9.91311854518061e-06, + "loss": 0.5387, + "step": 2984 + }, + { + "epoch": 0.09, + "learning_rate": 9.913030216146347e-06, + "loss": 0.7058, + "step": 2985 + }, + { + "epoch": 0.09, + "learning_rate": 9.912941842628449e-06, + "loss": 0.8142, + "step": 2986 + }, + { + "epoch": 0.09, + "learning_rate": 9.912853424627718e-06, + "loss": 0.6011, + "step": 2987 + }, + { + "epoch": 0.09, + "learning_rate": 9.912764962144951e-06, + "loss": 0.5418, + "step": 2988 + }, + { + "epoch": 0.09, + "learning_rate": 9.912676455180952e-06, + "loss": 1.0216, + "step": 2989 + }, + { + "epoch": 0.09, + "learning_rate": 9.91258790373652e-06, + "loss": 0.7293, + "step": 2990 + }, + { + "epoch": 0.09, + "learning_rate": 9.912499307812458e-06, + "loss": 0.805, + "step": 2991 + }, + { + "epoch": 0.09, + "learning_rate": 9.91241066740957e-06, + "loss": 0.8889, + "step": 2992 + }, + { + "epoch": 0.09, + "learning_rate": 9.912321982528651e-06, + "loss": 0.603, + "step": 2993 + }, + { + "epoch": 0.09, + "learning_rate": 9.912233253170516e-06, + "loss": 0.8228, + "step": 2994 + }, + { + "epoch": 0.09, + "learning_rate": 9.912144479335958e-06, + "loss": 0.8316, + "step": 2995 + }, + { + "epoch": 0.09, + "learning_rate": 9.912055661025786e-06, + "loss": 0.8546, + "step": 2996 + }, + { + "epoch": 0.09, + "learning_rate": 9.911966798240801e-06, + "loss": 0.9615, + "step": 2997 + }, + { + "epoch": 0.09, + "learning_rate": 9.911877890981812e-06, + "loss": 0.8502, + "step": 2998 + }, + { + "epoch": 0.09, + "learning_rate": 9.911788939249622e-06, + "loss": 0.4651, + "step": 2999 + }, + { + "epoch": 0.09, + "learning_rate": 9.911699943045034e-06, + "loss": 1.0412, + "step": 3000 + }, + { + "epoch": 0.09, + "learning_rate": 9.911610902368855e-06, + "loss": 0.8159, + "step": 3001 + }, + { + "epoch": 0.09, + "learning_rate": 9.911521817221893e-06, + "loss": 0.7436, + "step": 3002 + }, + { + "epoch": 0.09, + "learning_rate": 9.911432687604954e-06, + "loss": 0.8422, + "step": 3003 + }, + { + "epoch": 0.09, + "learning_rate": 9.911343513518842e-06, + "loss": 0.8549, + "step": 3004 + }, + { + "epoch": 0.09, + "learning_rate": 9.911254294964369e-06, + "loss": 0.7561, + "step": 3005 + }, + { + "epoch": 0.09, + "learning_rate": 9.911165031942341e-06, + "loss": 0.6519, + "step": 3006 + }, + { + "epoch": 0.09, + "learning_rate": 9.911075724453562e-06, + "loss": 0.5522, + "step": 3007 + }, + { + "epoch": 0.09, + "learning_rate": 9.910986372498848e-06, + "loss": 0.9815, + "step": 3008 + }, + { + "epoch": 0.09, + "learning_rate": 9.910896976079002e-06, + "loss": 1.1088, + "step": 3009 + }, + { + "epoch": 0.09, + "learning_rate": 9.91080753519484e-06, + "loss": 0.7748, + "step": 3010 + }, + { + "epoch": 0.09, + "learning_rate": 9.910718049847163e-06, + "loss": 0.9081, + "step": 3011 + }, + { + "epoch": 0.09, + "learning_rate": 9.910628520036789e-06, + "loss": 0.8097, + "step": 3012 + }, + { + "epoch": 0.09, + "learning_rate": 9.910538945764524e-06, + "loss": 0.7024, + "step": 3013 + }, + { + "epoch": 0.09, + "learning_rate": 9.910449327031181e-06, + "loss": 0.8867, + "step": 3014 + }, + { + "epoch": 0.09, + "learning_rate": 9.91035966383757e-06, + "loss": 0.8795, + "step": 3015 + }, + { + "epoch": 0.09, + "learning_rate": 9.910269956184504e-06, + "loss": 0.9137, + "step": 3016 + }, + { + "epoch": 0.09, + "learning_rate": 9.910180204072798e-06, + "loss": 0.8742, + "step": 3017 + }, + { + "epoch": 0.09, + "learning_rate": 9.910090407503256e-06, + "loss": 0.8556, + "step": 3018 + }, + { + "epoch": 0.09, + "learning_rate": 9.9100005664767e-06, + "loss": 0.8351, + "step": 3019 + }, + { + "epoch": 0.09, + "learning_rate": 9.909910680993941e-06, + "loss": 0.8152, + "step": 3020 + }, + { + "epoch": 0.09, + "learning_rate": 9.90982075105579e-06, + "loss": 0.5846, + "step": 3021 + }, + { + "epoch": 0.09, + "learning_rate": 9.909730776663064e-06, + "loss": 0.9071, + "step": 3022 + }, + { + "epoch": 0.09, + "learning_rate": 9.909640757816578e-06, + "loss": 1.0525, + "step": 3023 + }, + { + "epoch": 0.09, + "learning_rate": 9.909550694517144e-06, + "loss": 0.878, + "step": 3024 + }, + { + "epoch": 0.09, + "learning_rate": 9.90946058676558e-06, + "loss": 1.0484, + "step": 3025 + }, + { + "epoch": 0.09, + "learning_rate": 9.909370434562701e-06, + "loss": 0.4814, + "step": 3026 + }, + { + "epoch": 0.09, + "learning_rate": 9.909280237909324e-06, + "loss": 1.0797, + "step": 3027 + }, + { + "epoch": 0.09, + "learning_rate": 9.909189996806265e-06, + "loss": 0.824, + "step": 3028 + }, + { + "epoch": 0.09, + "learning_rate": 9.909099711254342e-06, + "loss": 0.9253, + "step": 3029 + }, + { + "epoch": 0.09, + "learning_rate": 9.90900938125437e-06, + "loss": 0.8259, + "step": 3030 + }, + { + "epoch": 0.09, + "learning_rate": 9.90891900680717e-06, + "loss": 0.8697, + "step": 3031 + }, + { + "epoch": 0.09, + "learning_rate": 9.908828587913558e-06, + "loss": 0.9429, + "step": 3032 + }, + { + "epoch": 0.09, + "learning_rate": 9.908738124574353e-06, + "loss": 0.7423, + "step": 3033 + }, + { + "epoch": 0.09, + "learning_rate": 9.908647616790375e-06, + "loss": 0.8258, + "step": 3034 + }, + { + "epoch": 0.09, + "learning_rate": 9.908557064562445e-06, + "loss": 0.785, + "step": 3035 + }, + { + "epoch": 0.09, + "learning_rate": 9.908466467891378e-06, + "loss": 0.6476, + "step": 3036 + }, + { + "epoch": 0.09, + "learning_rate": 9.908375826777999e-06, + "loss": 0.6221, + "step": 3037 + }, + { + "epoch": 0.09, + "learning_rate": 9.908285141223125e-06, + "loss": 0.623, + "step": 3038 + }, + { + "epoch": 0.09, + "learning_rate": 9.90819441122758e-06, + "loss": 0.8659, + "step": 3039 + }, + { + "epoch": 0.09, + "learning_rate": 9.908103636792184e-06, + "loss": 0.7538, + "step": 3040 + }, + { + "epoch": 0.09, + "learning_rate": 9.90801281791776e-06, + "loss": 1.1785, + "step": 3041 + }, + { + "epoch": 0.09, + "learning_rate": 9.90792195460513e-06, + "loss": 0.7302, + "step": 3042 + }, + { + "epoch": 0.09, + "learning_rate": 9.907831046855115e-06, + "loss": 0.7462, + "step": 3043 + }, + { + "epoch": 0.09, + "learning_rate": 9.90774009466854e-06, + "loss": 0.9488, + "step": 3044 + }, + { + "epoch": 0.09, + "learning_rate": 9.907649098046227e-06, + "loss": 0.8219, + "step": 3045 + }, + { + "epoch": 0.09, + "learning_rate": 9.907558056989003e-06, + "loss": 0.7183, + "step": 3046 + }, + { + "epoch": 0.09, + "learning_rate": 9.90746697149769e-06, + "loss": 0.6775, + "step": 3047 + }, + { + "epoch": 0.09, + "learning_rate": 9.907375841573111e-06, + "loss": 0.788, + "step": 3048 + }, + { + "epoch": 0.09, + "learning_rate": 9.907284667216093e-06, + "loss": 0.899, + "step": 3049 + }, + { + "epoch": 0.09, + "learning_rate": 9.907193448427462e-06, + "loss": 0.8948, + "step": 3050 + }, + { + "epoch": 0.09, + "learning_rate": 9.907102185208044e-06, + "loss": 0.8192, + "step": 3051 + }, + { + "epoch": 0.09, + "learning_rate": 9.907010877558665e-06, + "loss": 0.903, + "step": 3052 + }, + { + "epoch": 0.09, + "learning_rate": 9.90691952548015e-06, + "loss": 0.7505, + "step": 3053 + }, + { + "epoch": 0.09, + "learning_rate": 9.906828128973327e-06, + "loss": 0.8292, + "step": 3054 + }, + { + "epoch": 0.09, + "learning_rate": 9.906736688039027e-06, + "loss": 0.7178, + "step": 3055 + }, + { + "epoch": 0.09, + "learning_rate": 9.906645202678073e-06, + "loss": 0.7989, + "step": 3056 + }, + { + "epoch": 0.09, + "learning_rate": 9.906553672891295e-06, + "loss": 0.7554, + "step": 3057 + }, + { + "epoch": 0.09, + "learning_rate": 9.906462098679523e-06, + "loss": 0.9245, + "step": 3058 + }, + { + "epoch": 0.09, + "learning_rate": 9.906370480043583e-06, + "loss": 0.9366, + "step": 3059 + }, + { + "epoch": 0.09, + "learning_rate": 9.90627881698431e-06, + "loss": 0.722, + "step": 3060 + }, + { + "epoch": 0.09, + "learning_rate": 9.906187109502527e-06, + "loss": 0.7515, + "step": 3061 + }, + { + "epoch": 0.09, + "learning_rate": 9.90609535759907e-06, + "loss": 0.6806, + "step": 3062 + }, + { + "epoch": 0.09, + "learning_rate": 9.90600356127477e-06, + "loss": 0.5573, + "step": 3063 + }, + { + "epoch": 0.09, + "learning_rate": 9.905911720530451e-06, + "loss": 1.0197, + "step": 3064 + }, + { + "epoch": 0.09, + "learning_rate": 9.905819835366953e-06, + "loss": 0.9116, + "step": 3065 + }, + { + "epoch": 0.09, + "learning_rate": 9.905727905785104e-06, + "loss": 0.7079, + "step": 3066 + }, + { + "epoch": 0.09, + "learning_rate": 9.905635931785735e-06, + "loss": 0.7375, + "step": 3067 + }, + { + "epoch": 0.09, + "learning_rate": 9.905543913369682e-06, + "loss": 0.8603, + "step": 3068 + }, + { + "epoch": 0.09, + "learning_rate": 9.905451850537776e-06, + "loss": 0.8068, + "step": 3069 + }, + { + "epoch": 0.09, + "learning_rate": 9.905359743290852e-06, + "loss": 0.8948, + "step": 3070 + }, + { + "epoch": 0.09, + "learning_rate": 9.905267591629742e-06, + "loss": 0.7413, + "step": 3071 + }, + { + "epoch": 0.09, + "learning_rate": 9.905175395555282e-06, + "loss": 0.7762, + "step": 3072 + }, + { + "epoch": 0.09, + "learning_rate": 9.905083155068305e-06, + "loss": 0.7131, + "step": 3073 + }, + { + "epoch": 0.09, + "learning_rate": 9.904990870169649e-06, + "loss": 0.7511, + "step": 3074 + }, + { + "epoch": 0.09, + "learning_rate": 9.904898540860148e-06, + "loss": 0.8652, + "step": 3075 + }, + { + "epoch": 0.09, + "learning_rate": 9.904806167140638e-06, + "loss": 0.9199, + "step": 3076 + }, + { + "epoch": 0.09, + "learning_rate": 9.904713749011954e-06, + "loss": 0.651, + "step": 3077 + }, + { + "epoch": 0.09, + "learning_rate": 9.904621286474934e-06, + "loss": 0.8723, + "step": 3078 + }, + { + "epoch": 0.09, + "learning_rate": 9.904528779530416e-06, + "loss": 0.7476, + "step": 3079 + }, + { + "epoch": 0.09, + "learning_rate": 9.904436228179237e-06, + "loss": 0.7356, + "step": 3080 + }, + { + "epoch": 0.09, + "learning_rate": 9.904343632422236e-06, + "loss": 0.8661, + "step": 3081 + }, + { + "epoch": 0.09, + "learning_rate": 9.904250992260249e-06, + "loss": 0.6785, + "step": 3082 + }, + { + "epoch": 0.09, + "learning_rate": 9.904158307694116e-06, + "loss": 0.842, + "step": 3083 + }, + { + "epoch": 0.09, + "learning_rate": 9.904065578724677e-06, + "loss": 0.9397, + "step": 3084 + }, + { + "epoch": 0.09, + "learning_rate": 9.903972805352769e-06, + "loss": 0.9503, + "step": 3085 + }, + { + "epoch": 0.09, + "learning_rate": 9.903879987579235e-06, + "loss": 0.9832, + "step": 3086 + }, + { + "epoch": 0.09, + "learning_rate": 9.903787125404913e-06, + "loss": 0.8678, + "step": 3087 + }, + { + "epoch": 0.09, + "learning_rate": 9.903694218830647e-06, + "loss": 0.6809, + "step": 3088 + }, + { + "epoch": 0.09, + "learning_rate": 9.903601267857275e-06, + "loss": 0.9906, + "step": 3089 + }, + { + "epoch": 0.09, + "learning_rate": 9.90350827248564e-06, + "loss": 0.9269, + "step": 3090 + }, + { + "epoch": 0.09, + "learning_rate": 9.903415232716583e-06, + "loss": 0.862, + "step": 3091 + }, + { + "epoch": 0.09, + "learning_rate": 9.903322148550948e-06, + "loss": 0.7464, + "step": 3092 + }, + { + "epoch": 0.09, + "learning_rate": 9.903229019989576e-06, + "loss": 0.7473, + "step": 3093 + }, + { + "epoch": 0.09, + "learning_rate": 9.903135847033312e-06, + "loss": 0.6828, + "step": 3094 + }, + { + "epoch": 0.09, + "learning_rate": 9.903042629683e-06, + "loss": 0.9296, + "step": 3095 + }, + { + "epoch": 0.09, + "learning_rate": 9.902949367939481e-06, + "loss": 0.8731, + "step": 3096 + }, + { + "epoch": 0.09, + "learning_rate": 9.9028560618036e-06, + "loss": 0.9514, + "step": 3097 + }, + { + "epoch": 0.09, + "learning_rate": 9.902762711276206e-06, + "loss": 1.0688, + "step": 3098 + }, + { + "epoch": 0.09, + "learning_rate": 9.902669316358138e-06, + "loss": 0.8847, + "step": 3099 + }, + { + "epoch": 0.09, + "learning_rate": 9.902575877050247e-06, + "loss": 0.7936, + "step": 3100 + }, + { + "epoch": 0.09, + "learning_rate": 9.902482393353376e-06, + "loss": 0.8429, + "step": 3101 + }, + { + "epoch": 0.09, + "learning_rate": 9.902388865268373e-06, + "loss": 0.7473, + "step": 3102 + }, + { + "epoch": 0.09, + "learning_rate": 9.902295292796084e-06, + "loss": 0.7005, + "step": 3103 + }, + { + "epoch": 0.09, + "learning_rate": 9.902201675937356e-06, + "loss": 0.639, + "step": 3104 + }, + { + "epoch": 0.09, + "learning_rate": 9.902108014693037e-06, + "loss": 0.9839, + "step": 3105 + }, + { + "epoch": 0.09, + "learning_rate": 9.902014309063975e-06, + "loss": 0.7961, + "step": 3106 + }, + { + "epoch": 0.09, + "learning_rate": 9.901920559051019e-06, + "loss": 0.7457, + "step": 3107 + }, + { + "epoch": 0.09, + "learning_rate": 9.901826764655016e-06, + "loss": 0.6846, + "step": 3108 + }, + { + "epoch": 0.09, + "learning_rate": 9.901732925876818e-06, + "loss": 0.7469, + "step": 3109 + }, + { + "epoch": 0.09, + "learning_rate": 9.901639042717273e-06, + "loss": 0.8915, + "step": 3110 + }, + { + "epoch": 0.09, + "learning_rate": 9.90154511517723e-06, + "loss": 0.6904, + "step": 3111 + }, + { + "epoch": 0.09, + "learning_rate": 9.901451143257542e-06, + "loss": 0.8562, + "step": 3112 + }, + { + "epoch": 0.09, + "learning_rate": 9.901357126959055e-06, + "loss": 0.7891, + "step": 3113 + }, + { + "epoch": 0.09, + "learning_rate": 9.901263066282627e-06, + "loss": 0.8591, + "step": 3114 + }, + { + "epoch": 0.09, + "learning_rate": 9.901168961229106e-06, + "loss": 0.6766, + "step": 3115 + }, + { + "epoch": 0.09, + "learning_rate": 9.901074811799343e-06, + "loss": 0.7606, + "step": 3116 + }, + { + "epoch": 0.09, + "learning_rate": 9.900980617994194e-06, + "loss": 0.6283, + "step": 3117 + }, + { + "epoch": 0.09, + "learning_rate": 9.900886379814507e-06, + "loss": 0.9377, + "step": 3118 + }, + { + "epoch": 0.09, + "learning_rate": 9.900792097261141e-06, + "loss": 0.8909, + "step": 3119 + }, + { + "epoch": 0.09, + "learning_rate": 9.900697770334944e-06, + "loss": 0.8424, + "step": 3120 + }, + { + "epoch": 0.09, + "learning_rate": 9.900603399036772e-06, + "loss": 0.8451, + "step": 3121 + }, + { + "epoch": 0.09, + "learning_rate": 9.900508983367482e-06, + "loss": 0.8915, + "step": 3122 + }, + { + "epoch": 0.09, + "learning_rate": 9.900414523327927e-06, + "loss": 0.49, + "step": 3123 + }, + { + "epoch": 0.09, + "learning_rate": 9.900320018918962e-06, + "loss": 0.7065, + "step": 3124 + }, + { + "epoch": 0.09, + "learning_rate": 9.900225470141442e-06, + "loss": 0.7709, + "step": 3125 + }, + { + "epoch": 0.09, + "learning_rate": 9.900130876996225e-06, + "loss": 0.7664, + "step": 3126 + }, + { + "epoch": 0.09, + "learning_rate": 9.900036239484165e-06, + "loss": 0.7148, + "step": 3127 + }, + { + "epoch": 0.09, + "learning_rate": 9.899941557606123e-06, + "loss": 0.9367, + "step": 3128 + }, + { + "epoch": 0.09, + "learning_rate": 9.899846831362952e-06, + "loss": 0.864, + "step": 3129 + }, + { + "epoch": 0.09, + "learning_rate": 9.89975206075551e-06, + "loss": 0.7763, + "step": 3130 + }, + { + "epoch": 0.09, + "learning_rate": 9.899657245784657e-06, + "loss": 0.7291, + "step": 3131 + }, + { + "epoch": 0.09, + "learning_rate": 9.89956238645125e-06, + "loss": 0.5254, + "step": 3132 + }, + { + "epoch": 0.09, + "learning_rate": 9.89946748275615e-06, + "loss": 0.786, + "step": 3133 + }, + { + "epoch": 0.09, + "learning_rate": 9.899372534700216e-06, + "loss": 0.7521, + "step": 3134 + }, + { + "epoch": 0.09, + "learning_rate": 9.899277542284305e-06, + "loss": 0.7486, + "step": 3135 + }, + { + "epoch": 0.09, + "learning_rate": 9.899182505509279e-06, + "loss": 1.024, + "step": 3136 + }, + { + "epoch": 0.09, + "learning_rate": 9.899087424375998e-06, + "loss": 0.9091, + "step": 3137 + }, + { + "epoch": 0.09, + "learning_rate": 9.898992298885324e-06, + "loss": 0.729, + "step": 3138 + }, + { + "epoch": 0.09, + "learning_rate": 9.898897129038117e-06, + "loss": 1.0358, + "step": 3139 + }, + { + "epoch": 0.09, + "learning_rate": 9.898801914835238e-06, + "loss": 0.6903, + "step": 3140 + }, + { + "epoch": 0.09, + "learning_rate": 9.89870665627755e-06, + "loss": 0.7381, + "step": 3141 + }, + { + "epoch": 0.09, + "learning_rate": 9.898611353365917e-06, + "loss": 0.8237, + "step": 3142 + }, + { + "epoch": 0.09, + "learning_rate": 9.8985160061012e-06, + "loss": 0.7004, + "step": 3143 + }, + { + "epoch": 0.09, + "learning_rate": 9.898420614484263e-06, + "loss": 0.7934, + "step": 3144 + }, + { + "epoch": 0.09, + "learning_rate": 9.898325178515968e-06, + "loss": 0.7424, + "step": 3145 + }, + { + "epoch": 0.09, + "learning_rate": 9.898229698197182e-06, + "loss": 0.699, + "step": 3146 + }, + { + "epoch": 0.09, + "learning_rate": 9.898134173528769e-06, + "loss": 0.9583, + "step": 3147 + }, + { + "epoch": 0.09, + "learning_rate": 9.89803860451159e-06, + "loss": 0.7744, + "step": 3148 + }, + { + "epoch": 0.09, + "learning_rate": 9.897942991146515e-06, + "loss": 0.9516, + "step": 3149 + }, + { + "epoch": 0.09, + "learning_rate": 9.897847333434408e-06, + "loss": 0.7611, + "step": 3150 + }, + { + "epoch": 0.09, + "learning_rate": 9.897751631376136e-06, + "loss": 1.1035, + "step": 3151 + }, + { + "epoch": 0.09, + "learning_rate": 9.897655884972563e-06, + "loss": 0.6479, + "step": 3152 + }, + { + "epoch": 0.09, + "learning_rate": 9.897560094224559e-06, + "loss": 0.6145, + "step": 3153 + }, + { + "epoch": 0.09, + "learning_rate": 9.897464259132989e-06, + "loss": 0.659, + "step": 3154 + }, + { + "epoch": 0.09, + "learning_rate": 9.897368379698723e-06, + "loss": 0.4948, + "step": 3155 + }, + { + "epoch": 0.09, + "learning_rate": 9.897272455922625e-06, + "loss": 0.8375, + "step": 3156 + }, + { + "epoch": 0.09, + "learning_rate": 9.897176487805568e-06, + "loss": 0.7586, + "step": 3157 + }, + { + "epoch": 0.09, + "learning_rate": 9.897080475348418e-06, + "loss": 0.8366, + "step": 3158 + }, + { + "epoch": 0.09, + "learning_rate": 9.896984418552047e-06, + "loss": 0.8882, + "step": 3159 + }, + { + "epoch": 0.09, + "learning_rate": 9.896888317417322e-06, + "loss": 0.8701, + "step": 3160 + }, + { + "epoch": 0.09, + "learning_rate": 9.896792171945113e-06, + "loss": 0.9206, + "step": 3161 + }, + { + "epoch": 0.09, + "learning_rate": 9.896695982136294e-06, + "loss": 0.9187, + "step": 3162 + }, + { + "epoch": 0.09, + "learning_rate": 9.896599747991733e-06, + "loss": 0.9971, + "step": 3163 + }, + { + "epoch": 0.09, + "learning_rate": 9.896503469512301e-06, + "loss": 0.8486, + "step": 3164 + }, + { + "epoch": 0.09, + "learning_rate": 9.896407146698873e-06, + "loss": 0.7152, + "step": 3165 + }, + { + "epoch": 0.09, + "learning_rate": 9.896310779552315e-06, + "loss": 0.8964, + "step": 3166 + }, + { + "epoch": 0.09, + "learning_rate": 9.896214368073507e-06, + "loss": 0.6169, + "step": 3167 + }, + { + "epoch": 0.09, + "learning_rate": 9.896117912263319e-06, + "loss": 0.7425, + "step": 3168 + }, + { + "epoch": 0.09, + "learning_rate": 9.89602141212262e-06, + "loss": 0.9379, + "step": 3169 + }, + { + "epoch": 0.09, + "learning_rate": 9.895924867652289e-06, + "loss": 1.3199, + "step": 3170 + }, + { + "epoch": 0.09, + "learning_rate": 9.895828278853198e-06, + "loss": 0.751, + "step": 3171 + }, + { + "epoch": 0.09, + "learning_rate": 9.895731645726223e-06, + "loss": 0.7357, + "step": 3172 + }, + { + "epoch": 0.09, + "learning_rate": 9.89563496827224e-06, + "loss": 0.7508, + "step": 3173 + }, + { + "epoch": 0.09, + "learning_rate": 9.89553824649212e-06, + "loss": 0.7255, + "step": 3174 + }, + { + "epoch": 0.09, + "learning_rate": 9.89544148038674e-06, + "loss": 0.7676, + "step": 3175 + }, + { + "epoch": 0.09, + "learning_rate": 9.89534466995698e-06, + "loss": 0.9913, + "step": 3176 + }, + { + "epoch": 0.09, + "learning_rate": 9.89524781520371e-06, + "loss": 0.7912, + "step": 3177 + }, + { + "epoch": 0.09, + "learning_rate": 9.895150916127813e-06, + "loss": 0.9163, + "step": 3178 + }, + { + "epoch": 0.09, + "learning_rate": 9.895053972730166e-06, + "loss": 0.8391, + "step": 3179 + }, + { + "epoch": 0.09, + "learning_rate": 9.894956985011642e-06, + "loss": 0.8591, + "step": 3180 + }, + { + "epoch": 0.09, + "learning_rate": 9.894859952973123e-06, + "loss": 0.7738, + "step": 3181 + }, + { + "epoch": 0.09, + "learning_rate": 9.894762876615486e-06, + "loss": 1.0747, + "step": 3182 + }, + { + "epoch": 0.09, + "learning_rate": 9.89466575593961e-06, + "loss": 0.7761, + "step": 3183 + }, + { + "epoch": 0.09, + "learning_rate": 9.894568590946375e-06, + "loss": 0.5756, + "step": 3184 + }, + { + "epoch": 0.09, + "learning_rate": 9.894471381636661e-06, + "loss": 0.7903, + "step": 3185 + }, + { + "epoch": 0.09, + "learning_rate": 9.894374128011348e-06, + "loss": 0.6927, + "step": 3186 + }, + { + "epoch": 0.09, + "learning_rate": 9.894276830071316e-06, + "loss": 0.9061, + "step": 3187 + }, + { + "epoch": 0.09, + "learning_rate": 9.894179487817447e-06, + "loss": 0.7299, + "step": 3188 + }, + { + "epoch": 0.09, + "learning_rate": 9.89408210125062e-06, + "loss": 0.709, + "step": 3189 + }, + { + "epoch": 0.09, + "learning_rate": 9.893984670371719e-06, + "loss": 0.8952, + "step": 3190 + }, + { + "epoch": 0.09, + "learning_rate": 9.893887195181626e-06, + "loss": 0.6399, + "step": 3191 + }, + { + "epoch": 0.09, + "learning_rate": 9.893789675681223e-06, + "loss": 0.7616, + "step": 3192 + }, + { + "epoch": 0.09, + "learning_rate": 9.893692111871392e-06, + "loss": 1.1446, + "step": 3193 + }, + { + "epoch": 0.09, + "learning_rate": 9.89359450375302e-06, + "loss": 0.686, + "step": 3194 + }, + { + "epoch": 0.09, + "learning_rate": 9.893496851326984e-06, + "loss": 0.688, + "step": 3195 + }, + { + "epoch": 0.09, + "learning_rate": 9.893399154594175e-06, + "loss": 0.9319, + "step": 3196 + }, + { + "epoch": 0.09, + "learning_rate": 9.893301413555475e-06, + "loss": 0.9642, + "step": 3197 + }, + { + "epoch": 0.09, + "learning_rate": 9.893203628211767e-06, + "loss": 0.9394, + "step": 3198 + }, + { + "epoch": 0.09, + "learning_rate": 9.89310579856394e-06, + "loss": 0.972, + "step": 3199 + }, + { + "epoch": 0.09, + "learning_rate": 9.893007924612879e-06, + "loss": 0.8301, + "step": 3200 + }, + { + "epoch": 0.09, + "learning_rate": 9.892910006359466e-06, + "loss": 0.6625, + "step": 3201 + }, + { + "epoch": 0.09, + "learning_rate": 9.892812043804592e-06, + "loss": 0.9866, + "step": 3202 + }, + { + "epoch": 0.09, + "learning_rate": 9.892714036949143e-06, + "loss": 0.581, + "step": 3203 + }, + { + "epoch": 0.09, + "learning_rate": 9.892615985794007e-06, + "loss": 0.705, + "step": 3204 + }, + { + "epoch": 0.09, + "learning_rate": 9.89251789034007e-06, + "loss": 0.8837, + "step": 3205 + }, + { + "epoch": 0.09, + "learning_rate": 9.89241975058822e-06, + "loss": 0.7447, + "step": 3206 + }, + { + "epoch": 0.09, + "learning_rate": 9.892321566539348e-06, + "loss": 0.6936, + "step": 3207 + }, + { + "epoch": 0.09, + "learning_rate": 9.892223338194341e-06, + "loss": 1.0269, + "step": 3208 + }, + { + "epoch": 0.09, + "learning_rate": 9.89212506555409e-06, + "loss": 0.7334, + "step": 3209 + }, + { + "epoch": 0.09, + "learning_rate": 9.892026748619481e-06, + "loss": 0.7928, + "step": 3210 + }, + { + "epoch": 0.09, + "learning_rate": 9.89192838739141e-06, + "loss": 0.8962, + "step": 3211 + }, + { + "epoch": 0.09, + "learning_rate": 9.891829981870764e-06, + "loss": 0.6721, + "step": 3212 + }, + { + "epoch": 0.09, + "learning_rate": 9.891731532058434e-06, + "loss": 0.6846, + "step": 3213 + }, + { + "epoch": 0.09, + "learning_rate": 9.89163303795531e-06, + "loss": 0.7295, + "step": 3214 + }, + { + "epoch": 0.09, + "learning_rate": 9.891534499562288e-06, + "loss": 0.63, + "step": 3215 + }, + { + "epoch": 0.09, + "learning_rate": 9.891435916880257e-06, + "loss": 0.6843, + "step": 3216 + }, + { + "epoch": 0.09, + "learning_rate": 9.891337289910112e-06, + "loss": 1.0374, + "step": 3217 + }, + { + "epoch": 0.09, + "learning_rate": 9.891238618652743e-06, + "loss": 0.7903, + "step": 3218 + }, + { + "epoch": 0.09, + "learning_rate": 9.891139903109045e-06, + "loss": 0.7428, + "step": 3219 + }, + { + "epoch": 0.09, + "learning_rate": 9.891041143279912e-06, + "loss": 0.8373, + "step": 3220 + }, + { + "epoch": 0.09, + "learning_rate": 9.890942339166236e-06, + "loss": 0.846, + "step": 3221 + }, + { + "epoch": 0.09, + "learning_rate": 9.890843490768916e-06, + "loss": 0.8666, + "step": 3222 + }, + { + "epoch": 0.09, + "learning_rate": 9.890744598088843e-06, + "loss": 0.9166, + "step": 3223 + }, + { + "epoch": 0.09, + "learning_rate": 9.890645661126914e-06, + "loss": 0.9008, + "step": 3224 + }, + { + "epoch": 0.09, + "learning_rate": 9.890546679884026e-06, + "loss": 0.8894, + "step": 3225 + }, + { + "epoch": 0.09, + "learning_rate": 9.890447654361071e-06, + "loss": 0.8125, + "step": 3226 + }, + { + "epoch": 0.09, + "learning_rate": 9.89034858455895e-06, + "loss": 1.0007, + "step": 3227 + }, + { + "epoch": 0.09, + "learning_rate": 9.890249470478558e-06, + "loss": 0.8286, + "step": 3228 + }, + { + "epoch": 0.09, + "learning_rate": 9.890150312120794e-06, + "loss": 0.8361, + "step": 3229 + }, + { + "epoch": 0.09, + "learning_rate": 9.890051109486553e-06, + "loss": 0.7602, + "step": 3230 + }, + { + "epoch": 0.09, + "learning_rate": 9.889951862576737e-06, + "loss": 0.8694, + "step": 3231 + }, + { + "epoch": 0.09, + "learning_rate": 9.88985257139224e-06, + "loss": 0.7752, + "step": 3232 + }, + { + "epoch": 0.09, + "learning_rate": 9.889753235933964e-06, + "loss": 0.8209, + "step": 3233 + }, + { + "epoch": 0.1, + "learning_rate": 9.889653856202808e-06, + "loss": 0.6424, + "step": 3234 + }, + { + "epoch": 0.1, + "learning_rate": 9.889554432199671e-06, + "loss": 0.6791, + "step": 3235 + }, + { + "epoch": 0.1, + "learning_rate": 9.889454963925456e-06, + "loss": 0.6065, + "step": 3236 + }, + { + "epoch": 0.1, + "learning_rate": 9.88935545138106e-06, + "loss": 0.7044, + "step": 3237 + }, + { + "epoch": 0.1, + "learning_rate": 9.889255894567385e-06, + "loss": 0.663, + "step": 3238 + }, + { + "epoch": 0.1, + "learning_rate": 9.889156293485334e-06, + "loss": 0.8947, + "step": 3239 + }, + { + "epoch": 0.1, + "learning_rate": 9.889056648135806e-06, + "loss": 0.874, + "step": 3240 + }, + { + "epoch": 0.1, + "learning_rate": 9.888956958519706e-06, + "loss": 0.8671, + "step": 3241 + }, + { + "epoch": 0.1, + "learning_rate": 9.888857224637935e-06, + "loss": 0.7978, + "step": 3242 + }, + { + "epoch": 0.1, + "learning_rate": 9.888757446491397e-06, + "loss": 0.8986, + "step": 3243 + }, + { + "epoch": 0.1, + "learning_rate": 9.888657624080995e-06, + "loss": 0.8584, + "step": 3244 + }, + { + "epoch": 0.1, + "learning_rate": 9.888557757407632e-06, + "loss": 1.0412, + "step": 3245 + }, + { + "epoch": 0.1, + "learning_rate": 9.888457846472212e-06, + "loss": 0.7017, + "step": 3246 + }, + { + "epoch": 0.1, + "learning_rate": 9.888357891275642e-06, + "loss": 0.7786, + "step": 3247 + }, + { + "epoch": 0.1, + "learning_rate": 9.888257891818827e-06, + "loss": 0.7363, + "step": 3248 + }, + { + "epoch": 0.1, + "learning_rate": 9.888157848102669e-06, + "loss": 0.8771, + "step": 3249 + }, + { + "epoch": 0.1, + "learning_rate": 9.888057760128075e-06, + "loss": 0.6334, + "step": 3250 + }, + { + "epoch": 0.1, + "learning_rate": 9.887957627895954e-06, + "loss": 0.8411, + "step": 3251 + }, + { + "epoch": 0.1, + "learning_rate": 9.88785745140721e-06, + "loss": 0.899, + "step": 3252 + }, + { + "epoch": 0.1, + "learning_rate": 9.887757230662751e-06, + "loss": 0.8021, + "step": 3253 + }, + { + "epoch": 0.1, + "learning_rate": 9.887656965663484e-06, + "loss": 0.6945, + "step": 3254 + }, + { + "epoch": 0.1, + "learning_rate": 9.887556656410315e-06, + "loss": 0.9302, + "step": 3255 + }, + { + "epoch": 0.1, + "learning_rate": 9.887456302904157e-06, + "loss": 0.982, + "step": 3256 + }, + { + "epoch": 0.1, + "learning_rate": 9.887355905145914e-06, + "loss": 0.6854, + "step": 3257 + }, + { + "epoch": 0.1, + "learning_rate": 9.887255463136495e-06, + "loss": 0.634, + "step": 3258 + }, + { + "epoch": 0.1, + "learning_rate": 9.887154976876815e-06, + "loss": 0.7936, + "step": 3259 + }, + { + "epoch": 0.1, + "learning_rate": 9.887054446367779e-06, + "loss": 1.1692, + "step": 3260 + }, + { + "epoch": 0.1, + "learning_rate": 9.886953871610296e-06, + "loss": 0.9045, + "step": 3261 + }, + { + "epoch": 0.1, + "learning_rate": 9.88685325260528e-06, + "loss": 0.6425, + "step": 3262 + }, + { + "epoch": 0.1, + "learning_rate": 9.886752589353643e-06, + "loss": 0.668, + "step": 3263 + }, + { + "epoch": 0.1, + "learning_rate": 9.886651881856292e-06, + "loss": 0.7839, + "step": 3264 + }, + { + "epoch": 0.1, + "learning_rate": 9.886551130114141e-06, + "loss": 0.4159, + "step": 3265 + }, + { + "epoch": 0.1, + "learning_rate": 9.886450334128103e-06, + "loss": 0.8787, + "step": 3266 + }, + { + "epoch": 0.1, + "learning_rate": 9.88634949389909e-06, + "loss": 0.995, + "step": 3267 + }, + { + "epoch": 0.1, + "learning_rate": 9.886248609428015e-06, + "loss": 0.8544, + "step": 3268 + }, + { + "epoch": 0.1, + "learning_rate": 9.886147680715792e-06, + "loss": 0.6965, + "step": 3269 + }, + { + "epoch": 0.1, + "learning_rate": 9.886046707763333e-06, + "loss": 0.7071, + "step": 3270 + }, + { + "epoch": 0.1, + "learning_rate": 9.885945690571555e-06, + "loss": 0.7451, + "step": 3271 + }, + { + "epoch": 0.1, + "learning_rate": 9.88584462914137e-06, + "loss": 0.6538, + "step": 3272 + }, + { + "epoch": 0.1, + "learning_rate": 9.885743523473695e-06, + "loss": 0.788, + "step": 3273 + }, + { + "epoch": 0.1, + "learning_rate": 9.885642373569443e-06, + "loss": 0.8183, + "step": 3274 + }, + { + "epoch": 0.1, + "learning_rate": 9.885541179429535e-06, + "loss": 0.9659, + "step": 3275 + }, + { + "epoch": 0.1, + "learning_rate": 9.88543994105488e-06, + "loss": 0.9444, + "step": 3276 + }, + { + "epoch": 0.1, + "learning_rate": 9.8853386584464e-06, + "loss": 0.698, + "step": 3277 + }, + { + "epoch": 0.1, + "learning_rate": 9.885237331605011e-06, + "loss": 0.7652, + "step": 3278 + }, + { + "epoch": 0.1, + "learning_rate": 9.885135960531629e-06, + "loss": 0.7984, + "step": 3279 + }, + { + "epoch": 0.1, + "learning_rate": 9.885034545227172e-06, + "loss": 0.6838, + "step": 3280 + }, + { + "epoch": 0.1, + "learning_rate": 9.88493308569256e-06, + "loss": 0.6762, + "step": 3281 + }, + { + "epoch": 0.1, + "learning_rate": 9.88483158192871e-06, + "loss": 0.8173, + "step": 3282 + }, + { + "epoch": 0.1, + "learning_rate": 9.88473003393654e-06, + "loss": 1.1681, + "step": 3283 + }, + { + "epoch": 0.1, + "learning_rate": 9.884628441716972e-06, + "loss": 0.8727, + "step": 3284 + }, + { + "epoch": 0.1, + "learning_rate": 9.884526805270926e-06, + "loss": 1.0568, + "step": 3285 + }, + { + "epoch": 0.1, + "learning_rate": 9.884425124599319e-06, + "loss": 0.6357, + "step": 3286 + }, + { + "epoch": 0.1, + "learning_rate": 9.884323399703075e-06, + "loss": 0.7226, + "step": 3287 + }, + { + "epoch": 0.1, + "learning_rate": 9.884221630583115e-06, + "loss": 0.9026, + "step": 3288 + }, + { + "epoch": 0.1, + "learning_rate": 9.884119817240357e-06, + "loss": 1.1499, + "step": 3289 + }, + { + "epoch": 0.1, + "learning_rate": 9.884017959675726e-06, + "loss": 0.7527, + "step": 3290 + }, + { + "epoch": 0.1, + "learning_rate": 9.883916057890142e-06, + "loss": 0.9804, + "step": 3291 + }, + { + "epoch": 0.1, + "learning_rate": 9.883814111884531e-06, + "loss": 0.7291, + "step": 3292 + }, + { + "epoch": 0.1, + "learning_rate": 9.883712121659813e-06, + "loss": 0.7843, + "step": 3293 + }, + { + "epoch": 0.1, + "learning_rate": 9.883610087216911e-06, + "loss": 0.7964, + "step": 3294 + }, + { + "epoch": 0.1, + "learning_rate": 9.883508008556752e-06, + "loss": 0.7186, + "step": 3295 + }, + { + "epoch": 0.1, + "learning_rate": 9.883405885680257e-06, + "loss": 0.8182, + "step": 3296 + }, + { + "epoch": 0.1, + "learning_rate": 9.883303718588353e-06, + "loss": 0.7277, + "step": 3297 + }, + { + "epoch": 0.1, + "learning_rate": 9.883201507281964e-06, + "loss": 0.9227, + "step": 3298 + }, + { + "epoch": 0.1, + "learning_rate": 9.883099251762016e-06, + "loss": 1.2313, + "step": 3299 + }, + { + "epoch": 0.1, + "learning_rate": 9.882996952029433e-06, + "loss": 0.8754, + "step": 3300 + }, + { + "epoch": 0.1, + "learning_rate": 9.882894608085144e-06, + "loss": 0.8756, + "step": 3301 + }, + { + "epoch": 0.1, + "learning_rate": 9.882792219930075e-06, + "loss": 0.7411, + "step": 3302 + }, + { + "epoch": 0.1, + "learning_rate": 9.88268978756515e-06, + "loss": 0.5405, + "step": 3303 + }, + { + "epoch": 0.1, + "learning_rate": 9.882587310991301e-06, + "loss": 1.0291, + "step": 3304 + }, + { + "epoch": 0.1, + "learning_rate": 9.882484790209453e-06, + "loss": 0.7818, + "step": 3305 + }, + { + "epoch": 0.1, + "learning_rate": 9.882382225220534e-06, + "loss": 0.7965, + "step": 3306 + }, + { + "epoch": 0.1, + "learning_rate": 9.882279616025474e-06, + "loss": 0.7212, + "step": 3307 + }, + { + "epoch": 0.1, + "learning_rate": 9.882176962625202e-06, + "loss": 1.0329, + "step": 3308 + }, + { + "epoch": 0.1, + "learning_rate": 9.882074265020646e-06, + "loss": 0.6733, + "step": 3309 + }, + { + "epoch": 0.1, + "learning_rate": 9.88197152321274e-06, + "loss": 0.6669, + "step": 3310 + }, + { + "epoch": 0.1, + "learning_rate": 9.881868737202407e-06, + "loss": 0.5027, + "step": 3311 + }, + { + "epoch": 0.1, + "learning_rate": 9.881765906990583e-06, + "loss": 0.7653, + "step": 3312 + }, + { + "epoch": 0.1, + "learning_rate": 9.8816630325782e-06, + "loss": 0.6234, + "step": 3313 + }, + { + "epoch": 0.1, + "learning_rate": 9.881560113966185e-06, + "loss": 0.6603, + "step": 3314 + }, + { + "epoch": 0.1, + "learning_rate": 9.881457151155471e-06, + "loss": 0.8757, + "step": 3315 + }, + { + "epoch": 0.1, + "learning_rate": 9.881354144146994e-06, + "loss": 0.9729, + "step": 3316 + }, + { + "epoch": 0.1, + "learning_rate": 9.881251092941684e-06, + "loss": 0.7274, + "step": 3317 + }, + { + "epoch": 0.1, + "learning_rate": 9.881147997540473e-06, + "loss": 0.7283, + "step": 3318 + }, + { + "epoch": 0.1, + "learning_rate": 9.881044857944295e-06, + "loss": 0.7429, + "step": 3319 + }, + { + "epoch": 0.1, + "learning_rate": 9.880941674154085e-06, + "loss": 0.713, + "step": 3320 + }, + { + "epoch": 0.1, + "learning_rate": 9.880838446170776e-06, + "loss": 0.5689, + "step": 3321 + }, + { + "epoch": 0.1, + "learning_rate": 9.880735173995303e-06, + "loss": 0.7294, + "step": 3322 + }, + { + "epoch": 0.1, + "learning_rate": 9.880631857628602e-06, + "loss": 0.5738, + "step": 3323 + }, + { + "epoch": 0.1, + "learning_rate": 9.880528497071608e-06, + "loss": 0.7794, + "step": 3324 + }, + { + "epoch": 0.1, + "learning_rate": 9.880425092325256e-06, + "loss": 0.9849, + "step": 3325 + }, + { + "epoch": 0.1, + "learning_rate": 9.880321643390486e-06, + "loss": 0.6882, + "step": 3326 + }, + { + "epoch": 0.1, + "learning_rate": 9.880218150268227e-06, + "loss": 0.9216, + "step": 3327 + }, + { + "epoch": 0.1, + "learning_rate": 9.880114612959421e-06, + "loss": 0.7159, + "step": 3328 + }, + { + "epoch": 0.1, + "learning_rate": 9.880011031465006e-06, + "loss": 0.7239, + "step": 3329 + }, + { + "epoch": 0.1, + "learning_rate": 9.87990740578592e-06, + "loss": 0.8805, + "step": 3330 + }, + { + "epoch": 0.1, + "learning_rate": 9.879803735923099e-06, + "loss": 1.0095, + "step": 3331 + }, + { + "epoch": 0.1, + "learning_rate": 9.879700021877483e-06, + "loss": 0.7351, + "step": 3332 + }, + { + "epoch": 0.1, + "learning_rate": 9.879596263650011e-06, + "loss": 0.6477, + "step": 3333 + }, + { + "epoch": 0.1, + "learning_rate": 9.879492461241623e-06, + "loss": 0.7906, + "step": 3334 + }, + { + "epoch": 0.1, + "learning_rate": 9.879388614653256e-06, + "loss": 0.957, + "step": 3335 + }, + { + "epoch": 0.1, + "learning_rate": 9.879284723885853e-06, + "loss": 0.6805, + "step": 3336 + }, + { + "epoch": 0.1, + "learning_rate": 9.879180788940355e-06, + "loss": 0.6385, + "step": 3337 + }, + { + "epoch": 0.1, + "learning_rate": 9.8790768098177e-06, + "loss": 0.7345, + "step": 3338 + }, + { + "epoch": 0.1, + "learning_rate": 9.878972786518833e-06, + "loss": 0.7533, + "step": 3339 + }, + { + "epoch": 0.1, + "learning_rate": 9.878868719044694e-06, + "loss": 0.8996, + "step": 3340 + }, + { + "epoch": 0.1, + "learning_rate": 9.878764607396224e-06, + "loss": 0.7746, + "step": 3341 + }, + { + "epoch": 0.1, + "learning_rate": 9.87866045157437e-06, + "loss": 0.7521, + "step": 3342 + }, + { + "epoch": 0.1, + "learning_rate": 9.878556251580071e-06, + "loss": 0.7138, + "step": 3343 + }, + { + "epoch": 0.1, + "learning_rate": 9.878452007414272e-06, + "loss": 0.8075, + "step": 3344 + }, + { + "epoch": 0.1, + "learning_rate": 9.878347719077916e-06, + "loss": 0.7216, + "step": 3345 + }, + { + "epoch": 0.1, + "learning_rate": 9.878243386571948e-06, + "loss": 0.6044, + "step": 3346 + }, + { + "epoch": 0.1, + "learning_rate": 9.878139009897314e-06, + "loss": 1.0198, + "step": 3347 + }, + { + "epoch": 0.1, + "learning_rate": 9.878034589054956e-06, + "loss": 0.807, + "step": 3348 + }, + { + "epoch": 0.1, + "learning_rate": 9.87793012404582e-06, + "loss": 0.9607, + "step": 3349 + }, + { + "epoch": 0.1, + "learning_rate": 9.877825614870855e-06, + "loss": 0.7385, + "step": 3350 + }, + { + "epoch": 0.1, + "learning_rate": 9.877721061531004e-06, + "loss": 0.8622, + "step": 3351 + }, + { + "epoch": 0.1, + "learning_rate": 9.877616464027214e-06, + "loss": 0.8118, + "step": 3352 + }, + { + "epoch": 0.1, + "learning_rate": 9.877511822360434e-06, + "loss": 1.2385, + "step": 3353 + }, + { + "epoch": 0.1, + "learning_rate": 9.87740713653161e-06, + "loss": 0.6292, + "step": 3354 + }, + { + "epoch": 0.1, + "learning_rate": 9.87730240654169e-06, + "loss": 0.6395, + "step": 3355 + }, + { + "epoch": 0.1, + "learning_rate": 9.877197632391621e-06, + "loss": 0.6763, + "step": 3356 + }, + { + "epoch": 0.1, + "learning_rate": 9.877092814082355e-06, + "loss": 0.7986, + "step": 3357 + }, + { + "epoch": 0.1, + "learning_rate": 9.876987951614838e-06, + "loss": 0.8471, + "step": 3358 + }, + { + "epoch": 0.1, + "learning_rate": 9.87688304499002e-06, + "loss": 0.5956, + "step": 3359 + }, + { + "epoch": 0.1, + "learning_rate": 9.876778094208852e-06, + "loss": 0.8553, + "step": 3360 + }, + { + "epoch": 0.1, + "learning_rate": 9.876673099272283e-06, + "loss": 0.621, + "step": 3361 + }, + { + "epoch": 0.1, + "learning_rate": 9.876568060181264e-06, + "loss": 0.7908, + "step": 3362 + }, + { + "epoch": 0.1, + "learning_rate": 9.876462976936748e-06, + "loss": 0.8126, + "step": 3363 + }, + { + "epoch": 0.1, + "learning_rate": 9.876357849539684e-06, + "loss": 0.8955, + "step": 3364 + }, + { + "epoch": 0.1, + "learning_rate": 9.876252677991023e-06, + "loss": 0.9214, + "step": 3365 + }, + { + "epoch": 0.1, + "learning_rate": 9.87614746229172e-06, + "loss": 0.8606, + "step": 3366 + }, + { + "epoch": 0.1, + "learning_rate": 9.876042202442726e-06, + "loss": 0.767, + "step": 3367 + }, + { + "epoch": 0.1, + "learning_rate": 9.875936898444994e-06, + "loss": 0.9831, + "step": 3368 + }, + { + "epoch": 0.1, + "learning_rate": 9.87583155029948e-06, + "loss": 1.0771, + "step": 3369 + }, + { + "epoch": 0.1, + "learning_rate": 9.875726158007132e-06, + "loss": 1.0761, + "step": 3370 + }, + { + "epoch": 0.1, + "learning_rate": 9.875620721568911e-06, + "loss": 0.8599, + "step": 3371 + }, + { + "epoch": 0.1, + "learning_rate": 9.87551524098577e-06, + "loss": 0.7734, + "step": 3372 + }, + { + "epoch": 0.1, + "learning_rate": 9.87540971625866e-06, + "loss": 0.8139, + "step": 3373 + }, + { + "epoch": 0.1, + "learning_rate": 9.875304147388538e-06, + "loss": 0.8856, + "step": 3374 + }, + { + "epoch": 0.1, + "learning_rate": 9.875198534376364e-06, + "loss": 0.5293, + "step": 3375 + }, + { + "epoch": 0.1, + "learning_rate": 9.87509287722309e-06, + "loss": 0.7849, + "step": 3376 + }, + { + "epoch": 0.1, + "learning_rate": 9.874987175929674e-06, + "loss": 0.7117, + "step": 3377 + }, + { + "epoch": 0.1, + "learning_rate": 9.874881430497073e-06, + "loss": 0.8738, + "step": 3378 + }, + { + "epoch": 0.1, + "learning_rate": 9.874775640926244e-06, + "loss": 0.8031, + "step": 3379 + }, + { + "epoch": 0.1, + "learning_rate": 9.874669807218144e-06, + "loss": 0.7085, + "step": 3380 + }, + { + "epoch": 0.1, + "learning_rate": 9.874563929373734e-06, + "loss": 0.6023, + "step": 3381 + }, + { + "epoch": 0.1, + "learning_rate": 9.87445800739397e-06, + "loss": 0.8687, + "step": 3382 + }, + { + "epoch": 0.1, + "learning_rate": 9.874352041279814e-06, + "loss": 0.7429, + "step": 3383 + }, + { + "epoch": 0.1, + "learning_rate": 9.874246031032221e-06, + "loss": 0.4897, + "step": 3384 + }, + { + "epoch": 0.1, + "learning_rate": 9.874139976652155e-06, + "loss": 0.7515, + "step": 3385 + }, + { + "epoch": 0.1, + "learning_rate": 9.874033878140574e-06, + "loss": 0.6613, + "step": 3386 + }, + { + "epoch": 0.1, + "learning_rate": 9.873927735498442e-06, + "loss": 0.6116, + "step": 3387 + }, + { + "epoch": 0.1, + "learning_rate": 9.873821548726715e-06, + "loss": 0.6482, + "step": 3388 + }, + { + "epoch": 0.1, + "learning_rate": 9.873715317826356e-06, + "loss": 0.6246, + "step": 3389 + }, + { + "epoch": 0.1, + "learning_rate": 9.873609042798328e-06, + "loss": 0.9097, + "step": 3390 + }, + { + "epoch": 0.1, + "learning_rate": 9.873502723643593e-06, + "loss": 0.7518, + "step": 3391 + }, + { + "epoch": 0.1, + "learning_rate": 9.873396360363113e-06, + "loss": 0.8828, + "step": 3392 + }, + { + "epoch": 0.1, + "learning_rate": 9.873289952957852e-06, + "loss": 0.8945, + "step": 3393 + }, + { + "epoch": 0.1, + "learning_rate": 9.873183501428774e-06, + "loss": 0.9637, + "step": 3394 + }, + { + "epoch": 0.1, + "learning_rate": 9.87307700577684e-06, + "loss": 0.847, + "step": 3395 + }, + { + "epoch": 0.1, + "learning_rate": 9.872970466003018e-06, + "loss": 0.593, + "step": 3396 + }, + { + "epoch": 0.1, + "learning_rate": 9.872863882108269e-06, + "loss": 0.8197, + "step": 3397 + }, + { + "epoch": 0.1, + "learning_rate": 9.872757254093559e-06, + "loss": 0.5655, + "step": 3398 + }, + { + "epoch": 0.1, + "learning_rate": 9.872650581959856e-06, + "loss": 0.9651, + "step": 3399 + }, + { + "epoch": 0.1, + "learning_rate": 9.872543865708121e-06, + "loss": 0.7044, + "step": 3400 + }, + { + "epoch": 0.1, + "learning_rate": 9.872437105339326e-06, + "loss": 0.681, + "step": 3401 + }, + { + "epoch": 0.1, + "learning_rate": 9.872330300854433e-06, + "loss": 0.5905, + "step": 3402 + }, + { + "epoch": 0.1, + "learning_rate": 9.872223452254412e-06, + "loss": 0.7527, + "step": 3403 + }, + { + "epoch": 0.1, + "learning_rate": 9.87211655954023e-06, + "loss": 0.9445, + "step": 3404 + }, + { + "epoch": 0.1, + "learning_rate": 9.872009622712852e-06, + "loss": 0.8163, + "step": 3405 + }, + { + "epoch": 0.1, + "learning_rate": 9.87190264177325e-06, + "loss": 0.786, + "step": 3406 + }, + { + "epoch": 0.1, + "learning_rate": 9.87179561672239e-06, + "loss": 0.7197, + "step": 3407 + }, + { + "epoch": 0.1, + "learning_rate": 9.871688547561243e-06, + "loss": 0.6524, + "step": 3408 + }, + { + "epoch": 0.1, + "learning_rate": 9.871581434290779e-06, + "loss": 0.9538, + "step": 3409 + }, + { + "epoch": 0.1, + "learning_rate": 9.871474276911963e-06, + "loss": 0.8604, + "step": 3410 + }, + { + "epoch": 0.1, + "learning_rate": 9.871367075425768e-06, + "loss": 0.6896, + "step": 3411 + }, + { + "epoch": 0.1, + "learning_rate": 9.871259829833167e-06, + "loss": 0.7277, + "step": 3412 + }, + { + "epoch": 0.1, + "learning_rate": 9.87115254013513e-06, + "loss": 0.8944, + "step": 3413 + }, + { + "epoch": 0.1, + "learning_rate": 9.871045206332625e-06, + "loss": 0.7413, + "step": 3414 + }, + { + "epoch": 0.1, + "learning_rate": 9.870937828426627e-06, + "loss": 0.9575, + "step": 3415 + }, + { + "epoch": 0.1, + "learning_rate": 9.870830406418108e-06, + "loss": 0.6252, + "step": 3416 + }, + { + "epoch": 0.1, + "learning_rate": 9.870722940308041e-06, + "loss": 0.5593, + "step": 3417 + }, + { + "epoch": 0.1, + "learning_rate": 9.870615430097397e-06, + "loss": 0.8798, + "step": 3418 + }, + { + "epoch": 0.1, + "learning_rate": 9.870507875787152e-06, + "loss": 0.886, + "step": 3419 + }, + { + "epoch": 0.1, + "learning_rate": 9.870400277378277e-06, + "loss": 0.6214, + "step": 3420 + }, + { + "epoch": 0.1, + "learning_rate": 9.870292634871747e-06, + "loss": 0.7518, + "step": 3421 + }, + { + "epoch": 0.1, + "learning_rate": 9.87018494826854e-06, + "loss": 1.2634, + "step": 3422 + }, + { + "epoch": 0.1, + "learning_rate": 9.870077217569628e-06, + "loss": 0.9687, + "step": 3423 + }, + { + "epoch": 0.1, + "learning_rate": 9.869969442775984e-06, + "loss": 0.9494, + "step": 3424 + }, + { + "epoch": 0.1, + "learning_rate": 9.869861623888589e-06, + "loss": 0.4885, + "step": 3425 + }, + { + "epoch": 0.1, + "learning_rate": 9.869753760908414e-06, + "loss": 0.7929, + "step": 3426 + }, + { + "epoch": 0.1, + "learning_rate": 9.86964585383644e-06, + "loss": 0.6549, + "step": 3427 + }, + { + "epoch": 0.1, + "learning_rate": 9.869537902673643e-06, + "loss": 0.7173, + "step": 3428 + }, + { + "epoch": 0.1, + "learning_rate": 9.869429907421e-06, + "loss": 0.8128, + "step": 3429 + }, + { + "epoch": 0.1, + "learning_rate": 9.869321868079488e-06, + "loss": 0.6333, + "step": 3430 + }, + { + "epoch": 0.1, + "learning_rate": 9.869213784650085e-06, + "loss": 0.8251, + "step": 3431 + }, + { + "epoch": 0.1, + "learning_rate": 9.869105657133772e-06, + "loss": 0.484, + "step": 3432 + }, + { + "epoch": 0.1, + "learning_rate": 9.868997485531525e-06, + "loss": 0.9452, + "step": 3433 + }, + { + "epoch": 0.1, + "learning_rate": 9.868889269844325e-06, + "loss": 0.884, + "step": 3434 + }, + { + "epoch": 0.1, + "learning_rate": 9.868781010073152e-06, + "loss": 0.655, + "step": 3435 + }, + { + "epoch": 0.1, + "learning_rate": 9.868672706218988e-06, + "loss": 0.8466, + "step": 3436 + }, + { + "epoch": 0.1, + "learning_rate": 9.868564358282808e-06, + "loss": 0.7957, + "step": 3437 + }, + { + "epoch": 0.1, + "learning_rate": 9.868455966265598e-06, + "loss": 1.0007, + "step": 3438 + }, + { + "epoch": 0.1, + "learning_rate": 9.868347530168339e-06, + "loss": 0.846, + "step": 3439 + }, + { + "epoch": 0.1, + "learning_rate": 9.86823904999201e-06, + "loss": 0.8879, + "step": 3440 + }, + { + "epoch": 0.1, + "learning_rate": 9.868130525737596e-06, + "loss": 0.7738, + "step": 3441 + }, + { + "epoch": 0.1, + "learning_rate": 9.868021957406077e-06, + "loss": 0.717, + "step": 3442 + }, + { + "epoch": 0.1, + "learning_rate": 9.867913344998439e-06, + "loss": 1.1427, + "step": 3443 + }, + { + "epoch": 0.1, + "learning_rate": 9.867804688515662e-06, + "loss": 0.8865, + "step": 3444 + }, + { + "epoch": 0.1, + "learning_rate": 9.867695987958735e-06, + "loss": 0.6949, + "step": 3445 + }, + { + "epoch": 0.1, + "learning_rate": 9.867587243328635e-06, + "loss": 0.6628, + "step": 3446 + }, + { + "epoch": 0.1, + "learning_rate": 9.867478454626354e-06, + "loss": 0.6726, + "step": 3447 + }, + { + "epoch": 0.1, + "learning_rate": 9.867369621852872e-06, + "loss": 0.9152, + "step": 3448 + }, + { + "epoch": 0.1, + "learning_rate": 9.867260745009176e-06, + "loss": 0.8229, + "step": 3449 + }, + { + "epoch": 0.1, + "learning_rate": 9.86715182409625e-06, + "loss": 0.563, + "step": 3450 + }, + { + "epoch": 0.1, + "learning_rate": 9.867042859115083e-06, + "loss": 0.65, + "step": 3451 + }, + { + "epoch": 0.1, + "learning_rate": 9.866933850066662e-06, + "loss": 0.8003, + "step": 3452 + }, + { + "epoch": 0.1, + "learning_rate": 9.866824796951971e-06, + "loss": 0.6992, + "step": 3453 + }, + { + "epoch": 0.1, + "learning_rate": 9.866715699771998e-06, + "loss": 0.7809, + "step": 3454 + }, + { + "epoch": 0.1, + "learning_rate": 9.866606558527735e-06, + "loss": 0.9096, + "step": 3455 + }, + { + "epoch": 0.1, + "learning_rate": 9.866497373220163e-06, + "loss": 0.5484, + "step": 3456 + }, + { + "epoch": 0.1, + "learning_rate": 9.866388143850277e-06, + "loss": 0.8598, + "step": 3457 + }, + { + "epoch": 0.1, + "learning_rate": 9.866278870419062e-06, + "loss": 0.6792, + "step": 3458 + }, + { + "epoch": 0.1, + "learning_rate": 9.866169552927508e-06, + "loss": 0.8899, + "step": 3459 + }, + { + "epoch": 0.1, + "learning_rate": 9.866060191376607e-06, + "loss": 0.8544, + "step": 3460 + }, + { + "epoch": 0.1, + "learning_rate": 9.865950785767347e-06, + "loss": 0.7865, + "step": 3461 + }, + { + "epoch": 0.1, + "learning_rate": 9.86584133610072e-06, + "loss": 0.8109, + "step": 3462 + }, + { + "epoch": 0.1, + "learning_rate": 9.865731842377716e-06, + "loss": 0.6293, + "step": 3463 + }, + { + "epoch": 0.1, + "learning_rate": 9.865622304599327e-06, + "loss": 0.7888, + "step": 3464 + }, + { + "epoch": 0.1, + "learning_rate": 9.865512722766545e-06, + "loss": 0.7991, + "step": 3465 + }, + { + "epoch": 0.1, + "learning_rate": 9.86540309688036e-06, + "loss": 0.6492, + "step": 3466 + }, + { + "epoch": 0.1, + "learning_rate": 9.865293426941766e-06, + "loss": 0.9501, + "step": 3467 + }, + { + "epoch": 0.1, + "learning_rate": 9.865183712951759e-06, + "loss": 0.7441, + "step": 3468 + }, + { + "epoch": 0.1, + "learning_rate": 9.865073954911327e-06, + "loss": 0.732, + "step": 3469 + }, + { + "epoch": 0.1, + "learning_rate": 9.864964152821467e-06, + "loss": 0.9573, + "step": 3470 + }, + { + "epoch": 0.1, + "learning_rate": 9.864854306683173e-06, + "loss": 0.92, + "step": 3471 + }, + { + "epoch": 0.1, + "learning_rate": 9.864744416497438e-06, + "loss": 0.9256, + "step": 3472 + }, + { + "epoch": 0.1, + "learning_rate": 9.86463448226526e-06, + "loss": 0.8557, + "step": 3473 + }, + { + "epoch": 0.1, + "learning_rate": 9.86452450398763e-06, + "loss": 0.8188, + "step": 3474 + }, + { + "epoch": 0.1, + "learning_rate": 9.864414481665548e-06, + "loss": 0.7821, + "step": 3475 + }, + { + "epoch": 0.1, + "learning_rate": 9.864304415300007e-06, + "loss": 0.9471, + "step": 3476 + }, + { + "epoch": 0.1, + "learning_rate": 9.864194304892006e-06, + "loss": 0.6307, + "step": 3477 + }, + { + "epoch": 0.1, + "learning_rate": 9.86408415044254e-06, + "loss": 0.7206, + "step": 3478 + }, + { + "epoch": 0.1, + "learning_rate": 9.86397395195261e-06, + "loss": 0.6374, + "step": 3479 + }, + { + "epoch": 0.1, + "learning_rate": 9.863863709423207e-06, + "loss": 0.7247, + "step": 3480 + }, + { + "epoch": 0.1, + "learning_rate": 9.863753422855336e-06, + "loss": 0.5721, + "step": 3481 + }, + { + "epoch": 0.1, + "learning_rate": 9.863643092249992e-06, + "loss": 0.6369, + "step": 3482 + }, + { + "epoch": 0.1, + "learning_rate": 9.863532717608174e-06, + "loss": 1.043, + "step": 3483 + }, + { + "epoch": 0.1, + "learning_rate": 9.863422298930883e-06, + "loss": 0.888, + "step": 3484 + }, + { + "epoch": 0.1, + "learning_rate": 9.863311836219116e-06, + "loss": 0.6914, + "step": 3485 + }, + { + "epoch": 0.1, + "learning_rate": 9.863201329473877e-06, + "loss": 0.7962, + "step": 3486 + }, + { + "epoch": 0.1, + "learning_rate": 9.863090778696164e-06, + "loss": 1.0602, + "step": 3487 + }, + { + "epoch": 0.1, + "learning_rate": 9.862980183886977e-06, + "loss": 0.8332, + "step": 3488 + }, + { + "epoch": 0.1, + "learning_rate": 9.86286954504732e-06, + "loss": 0.6877, + "step": 3489 + }, + { + "epoch": 0.1, + "learning_rate": 9.862758862178194e-06, + "loss": 0.9061, + "step": 3490 + }, + { + "epoch": 0.1, + "learning_rate": 9.8626481352806e-06, + "loss": 0.7361, + "step": 3491 + }, + { + "epoch": 0.1, + "learning_rate": 9.862537364355543e-06, + "loss": 0.6724, + "step": 3492 + }, + { + "epoch": 0.1, + "learning_rate": 9.86242654940402e-06, + "loss": 0.6949, + "step": 3493 + }, + { + "epoch": 0.1, + "learning_rate": 9.862315690427043e-06, + "loss": 0.7661, + "step": 3494 + }, + { + "epoch": 0.1, + "learning_rate": 9.862204787425609e-06, + "loss": 0.7489, + "step": 3495 + }, + { + "epoch": 0.1, + "learning_rate": 9.862093840400724e-06, + "loss": 0.8212, + "step": 3496 + }, + { + "epoch": 0.1, + "learning_rate": 9.861982849353395e-06, + "loss": 0.6764, + "step": 3497 + }, + { + "epoch": 0.1, + "learning_rate": 9.861871814284623e-06, + "loss": 0.7123, + "step": 3498 + }, + { + "epoch": 0.1, + "learning_rate": 9.861760735195416e-06, + "loss": 0.8038, + "step": 3499 + }, + { + "epoch": 0.1, + "learning_rate": 9.861649612086778e-06, + "loss": 0.6405, + "step": 3500 + }, + { + "epoch": 0.1, + "learning_rate": 9.861538444959717e-06, + "loss": 0.8123, + "step": 3501 + }, + { + "epoch": 0.1, + "learning_rate": 9.861427233815238e-06, + "loss": 0.7561, + "step": 3502 + }, + { + "epoch": 0.1, + "learning_rate": 9.861315978654348e-06, + "loss": 0.8413, + "step": 3503 + }, + { + "epoch": 0.1, + "learning_rate": 9.861204679478057e-06, + "loss": 0.6867, + "step": 3504 + }, + { + "epoch": 0.1, + "learning_rate": 9.86109333628737e-06, + "loss": 0.6317, + "step": 3505 + }, + { + "epoch": 0.1, + "learning_rate": 9.860981949083294e-06, + "loss": 0.6149, + "step": 3506 + }, + { + "epoch": 0.1, + "learning_rate": 9.86087051786684e-06, + "loss": 0.7765, + "step": 3507 + }, + { + "epoch": 0.1, + "learning_rate": 9.860759042639019e-06, + "loss": 0.6764, + "step": 3508 + }, + { + "epoch": 0.1, + "learning_rate": 9.860647523400835e-06, + "loss": 0.7794, + "step": 3509 + }, + { + "epoch": 0.1, + "learning_rate": 9.860535960153298e-06, + "loss": 0.4983, + "step": 3510 + }, + { + "epoch": 0.1, + "learning_rate": 9.860424352897425e-06, + "loss": 0.6396, + "step": 3511 + }, + { + "epoch": 0.1, + "learning_rate": 9.860312701634218e-06, + "loss": 0.6629, + "step": 3512 + }, + { + "epoch": 0.1, + "learning_rate": 9.860201006364694e-06, + "loss": 0.7723, + "step": 3513 + }, + { + "epoch": 0.1, + "learning_rate": 9.86008926708986e-06, + "loss": 0.8826, + "step": 3514 + }, + { + "epoch": 0.1, + "learning_rate": 9.859977483810733e-06, + "loss": 0.6832, + "step": 3515 + }, + { + "epoch": 0.1, + "learning_rate": 9.859865656528318e-06, + "loss": 0.6863, + "step": 3516 + }, + { + "epoch": 0.1, + "learning_rate": 9.859753785243635e-06, + "loss": 0.6723, + "step": 3517 + }, + { + "epoch": 0.1, + "learning_rate": 9.85964186995769e-06, + "loss": 0.9255, + "step": 3518 + }, + { + "epoch": 0.1, + "learning_rate": 9.859529910671502e-06, + "loss": 0.9758, + "step": 3519 + }, + { + "epoch": 0.1, + "learning_rate": 9.859417907386082e-06, + "loss": 0.753, + "step": 3520 + }, + { + "epoch": 0.1, + "learning_rate": 9.859305860102445e-06, + "loss": 0.7997, + "step": 3521 + }, + { + "epoch": 0.1, + "learning_rate": 9.859193768821602e-06, + "loss": 1.1254, + "step": 3522 + }, + { + "epoch": 0.1, + "learning_rate": 9.859081633544574e-06, + "loss": 0.6251, + "step": 3523 + }, + { + "epoch": 0.1, + "learning_rate": 9.85896945427237e-06, + "loss": 0.5679, + "step": 3524 + }, + { + "epoch": 0.1, + "learning_rate": 9.858857231006012e-06, + "loss": 0.7394, + "step": 3525 + }, + { + "epoch": 0.1, + "learning_rate": 9.858744963746511e-06, + "loss": 0.8487, + "step": 3526 + }, + { + "epoch": 0.1, + "learning_rate": 9.858632652494887e-06, + "loss": 0.6479, + "step": 3527 + }, + { + "epoch": 0.1, + "learning_rate": 9.858520297252154e-06, + "loss": 0.7246, + "step": 3528 + }, + { + "epoch": 0.1, + "learning_rate": 9.858407898019331e-06, + "loss": 0.6904, + "step": 3529 + }, + { + "epoch": 0.1, + "learning_rate": 9.858295454797436e-06, + "loss": 0.7397, + "step": 3530 + }, + { + "epoch": 0.1, + "learning_rate": 9.858182967587485e-06, + "loss": 0.7171, + "step": 3531 + }, + { + "epoch": 0.1, + "learning_rate": 9.858070436390498e-06, + "loss": 1.0571, + "step": 3532 + }, + { + "epoch": 0.1, + "learning_rate": 9.857957861207493e-06, + "loss": 1.0054, + "step": 3533 + }, + { + "epoch": 0.1, + "learning_rate": 9.857845242039492e-06, + "loss": 0.8404, + "step": 3534 + }, + { + "epoch": 0.1, + "learning_rate": 9.857732578887512e-06, + "loss": 0.9494, + "step": 3535 + }, + { + "epoch": 0.1, + "learning_rate": 9.857619871752573e-06, + "loss": 0.7481, + "step": 3536 + }, + { + "epoch": 0.1, + "learning_rate": 9.857507120635697e-06, + "loss": 1.0222, + "step": 3537 + }, + { + "epoch": 0.1, + "learning_rate": 9.857394325537903e-06, + "loss": 0.8284, + "step": 3538 + }, + { + "epoch": 0.1, + "learning_rate": 9.857281486460215e-06, + "loss": 0.8345, + "step": 3539 + }, + { + "epoch": 0.1, + "learning_rate": 9.857168603403651e-06, + "loss": 0.7995, + "step": 3540 + }, + { + "epoch": 0.1, + "learning_rate": 9.857055676369237e-06, + "loss": 0.915, + "step": 3541 + }, + { + "epoch": 0.1, + "learning_rate": 9.856942705357993e-06, + "loss": 0.7802, + "step": 3542 + }, + { + "epoch": 0.1, + "learning_rate": 9.856829690370942e-06, + "loss": 0.6446, + "step": 3543 + }, + { + "epoch": 0.1, + "learning_rate": 9.856716631409107e-06, + "loss": 0.7031, + "step": 3544 + }, + { + "epoch": 0.1, + "learning_rate": 9.856603528473513e-06, + "loss": 0.8495, + "step": 3545 + }, + { + "epoch": 0.1, + "learning_rate": 9.856490381565184e-06, + "loss": 0.8894, + "step": 3546 + }, + { + "epoch": 0.1, + "learning_rate": 9.856377190685143e-06, + "loss": 0.5902, + "step": 3547 + }, + { + "epoch": 0.1, + "learning_rate": 9.856263955834417e-06, + "loss": 0.6351, + "step": 3548 + }, + { + "epoch": 0.1, + "learning_rate": 9.85615067701403e-06, + "loss": 0.9606, + "step": 3549 + }, + { + "epoch": 0.1, + "learning_rate": 9.856037354225006e-06, + "loss": 0.7374, + "step": 3550 + }, + { + "epoch": 0.1, + "learning_rate": 9.855923987468372e-06, + "loss": 0.8704, + "step": 3551 + }, + { + "epoch": 0.1, + "learning_rate": 9.855810576745158e-06, + "loss": 0.8432, + "step": 3552 + }, + { + "epoch": 0.1, + "learning_rate": 9.855697122056385e-06, + "loss": 0.6074, + "step": 3553 + }, + { + "epoch": 0.1, + "learning_rate": 9.855583623403086e-06, + "loss": 0.9783, + "step": 3554 + }, + { + "epoch": 0.1, + "learning_rate": 9.855470080786284e-06, + "loss": 1.0298, + "step": 3555 + }, + { + "epoch": 0.1, + "learning_rate": 9.85535649420701e-06, + "loss": 0.8827, + "step": 3556 + }, + { + "epoch": 0.1, + "learning_rate": 9.85524286366629e-06, + "loss": 0.9977, + "step": 3557 + }, + { + "epoch": 0.1, + "learning_rate": 9.855129189165155e-06, + "loss": 0.8574, + "step": 3558 + }, + { + "epoch": 0.1, + "learning_rate": 9.855015470704634e-06, + "loss": 0.7175, + "step": 3559 + }, + { + "epoch": 0.1, + "learning_rate": 9.854901708285756e-06, + "loss": 0.9048, + "step": 3560 + }, + { + "epoch": 0.1, + "learning_rate": 9.854787901909551e-06, + "loss": 0.8887, + "step": 3561 + }, + { + "epoch": 0.1, + "learning_rate": 9.854674051577047e-06, + "loss": 0.7911, + "step": 3562 + }, + { + "epoch": 0.1, + "learning_rate": 9.85456015728928e-06, + "loss": 0.9403, + "step": 3563 + }, + { + "epoch": 0.1, + "learning_rate": 9.854446219047278e-06, + "loss": 0.8878, + "step": 3564 + }, + { + "epoch": 0.1, + "learning_rate": 9.854332236852073e-06, + "loss": 0.7234, + "step": 3565 + }, + { + "epoch": 0.1, + "learning_rate": 9.854218210704698e-06, + "loss": 1.0178, + "step": 3566 + }, + { + "epoch": 0.1, + "learning_rate": 9.854104140606184e-06, + "loss": 0.7143, + "step": 3567 + }, + { + "epoch": 0.1, + "learning_rate": 9.853990026557563e-06, + "loss": 0.5918, + "step": 3568 + }, + { + "epoch": 0.1, + "learning_rate": 9.853875868559872e-06, + "loss": 0.8812, + "step": 3569 + }, + { + "epoch": 0.1, + "learning_rate": 9.85376166661414e-06, + "loss": 0.7463, + "step": 3570 + }, + { + "epoch": 0.1, + "learning_rate": 9.853647420721404e-06, + "loss": 0.7829, + "step": 3571 + }, + { + "epoch": 0.1, + "learning_rate": 9.853533130882698e-06, + "loss": 0.9111, + "step": 3572 + }, + { + "epoch": 0.1, + "learning_rate": 9.853418797099056e-06, + "loss": 0.8936, + "step": 3573 + }, + { + "epoch": 0.1, + "learning_rate": 9.853304419371515e-06, + "loss": 0.7357, + "step": 3574 + }, + { + "epoch": 0.11, + "learning_rate": 9.853189997701107e-06, + "loss": 0.8065, + "step": 3575 + }, + { + "epoch": 0.11, + "learning_rate": 9.853075532088871e-06, + "loss": 0.5863, + "step": 3576 + }, + { + "epoch": 0.11, + "learning_rate": 9.852961022535846e-06, + "loss": 1.0153, + "step": 3577 + }, + { + "epoch": 0.11, + "learning_rate": 9.85284646904306e-06, + "loss": 0.8735, + "step": 3578 + }, + { + "epoch": 0.11, + "learning_rate": 9.85273187161156e-06, + "loss": 0.776, + "step": 3579 + }, + { + "epoch": 0.11, + "learning_rate": 9.852617230242375e-06, + "loss": 0.9362, + "step": 3580 + }, + { + "epoch": 0.11, + "learning_rate": 9.85250254493655e-06, + "loss": 0.9353, + "step": 3581 + }, + { + "epoch": 0.11, + "learning_rate": 9.852387815695122e-06, + "loss": 0.8231, + "step": 3582 + }, + { + "epoch": 0.11, + "learning_rate": 9.852273042519128e-06, + "loss": 1.1378, + "step": 3583 + }, + { + "epoch": 0.11, + "learning_rate": 9.852158225409605e-06, + "loss": 0.8025, + "step": 3584 + }, + { + "epoch": 0.11, + "learning_rate": 9.852043364367596e-06, + "loss": 0.8364, + "step": 3585 + }, + { + "epoch": 0.11, + "learning_rate": 9.85192845939414e-06, + "loss": 0.6065, + "step": 3586 + }, + { + "epoch": 0.11, + "learning_rate": 9.851813510490277e-06, + "loss": 0.6676, + "step": 3587 + }, + { + "epoch": 0.11, + "learning_rate": 9.85169851765705e-06, + "loss": 0.7126, + "step": 3588 + }, + { + "epoch": 0.11, + "learning_rate": 9.8515834808955e-06, + "loss": 0.6353, + "step": 3589 + }, + { + "epoch": 0.11, + "learning_rate": 9.851468400206664e-06, + "loss": 0.7081, + "step": 3590 + }, + { + "epoch": 0.11, + "learning_rate": 9.851353275591587e-06, + "loss": 0.978, + "step": 3591 + }, + { + "epoch": 0.11, + "learning_rate": 9.851238107051312e-06, + "loss": 0.5885, + "step": 3592 + }, + { + "epoch": 0.11, + "learning_rate": 9.851122894586881e-06, + "loss": 0.8959, + "step": 3593 + }, + { + "epoch": 0.11, + "learning_rate": 9.851007638199338e-06, + "loss": 0.887, + "step": 3594 + }, + { + "epoch": 0.11, + "learning_rate": 9.850892337889724e-06, + "loss": 0.8349, + "step": 3595 + }, + { + "epoch": 0.11, + "learning_rate": 9.850776993659085e-06, + "loss": 0.9139, + "step": 3596 + }, + { + "epoch": 0.11, + "learning_rate": 9.850661605508467e-06, + "loss": 0.9458, + "step": 3597 + }, + { + "epoch": 0.11, + "learning_rate": 9.850546173438913e-06, + "loss": 0.8004, + "step": 3598 + }, + { + "epoch": 0.11, + "learning_rate": 9.850430697451466e-06, + "loss": 0.8222, + "step": 3599 + }, + { + "epoch": 0.11, + "learning_rate": 9.850315177547175e-06, + "loss": 0.8849, + "step": 3600 + }, + { + "epoch": 0.11, + "learning_rate": 9.850199613727083e-06, + "loss": 0.6354, + "step": 3601 + }, + { + "epoch": 0.11, + "learning_rate": 9.85008400599224e-06, + "loss": 0.7987, + "step": 3602 + }, + { + "epoch": 0.11, + "learning_rate": 9.849968354343689e-06, + "loss": 0.811, + "step": 3603 + }, + { + "epoch": 0.11, + "learning_rate": 9.84985265878248e-06, + "loss": 0.5371, + "step": 3604 + }, + { + "epoch": 0.11, + "learning_rate": 9.849736919309657e-06, + "loss": 0.8376, + "step": 3605 + }, + { + "epoch": 0.11, + "learning_rate": 9.849621135926271e-06, + "loss": 0.7048, + "step": 3606 + }, + { + "epoch": 0.11, + "learning_rate": 9.849505308633371e-06, + "loss": 0.9447, + "step": 3607 + }, + { + "epoch": 0.11, + "learning_rate": 9.849389437432003e-06, + "loss": 0.6755, + "step": 3608 + }, + { + "epoch": 0.11, + "learning_rate": 9.849273522323218e-06, + "loss": 0.5658, + "step": 3609 + }, + { + "epoch": 0.11, + "learning_rate": 9.849157563308063e-06, + "loss": 1.071, + "step": 3610 + }, + { + "epoch": 0.11, + "learning_rate": 9.849041560387591e-06, + "loss": 0.7863, + "step": 3611 + }, + { + "epoch": 0.11, + "learning_rate": 9.848925513562852e-06, + "loss": 0.8847, + "step": 3612 + }, + { + "epoch": 0.11, + "learning_rate": 9.848809422834896e-06, + "loss": 0.7511, + "step": 3613 + }, + { + "epoch": 0.11, + "learning_rate": 9.848693288204772e-06, + "loss": 0.7311, + "step": 3614 + }, + { + "epoch": 0.11, + "learning_rate": 9.848577109673534e-06, + "loss": 0.5663, + "step": 3615 + }, + { + "epoch": 0.11, + "learning_rate": 9.848460887242234e-06, + "loss": 0.9534, + "step": 3616 + }, + { + "epoch": 0.11, + "learning_rate": 9.848344620911924e-06, + "loss": 0.5754, + "step": 3617 + }, + { + "epoch": 0.11, + "learning_rate": 9.848228310683657e-06, + "loss": 0.7939, + "step": 3618 + }, + { + "epoch": 0.11, + "learning_rate": 9.848111956558483e-06, + "loss": 1.0356, + "step": 3619 + }, + { + "epoch": 0.11, + "learning_rate": 9.847995558537458e-06, + "loss": 0.8519, + "step": 3620 + }, + { + "epoch": 0.11, + "learning_rate": 9.847879116621638e-06, + "loss": 0.9066, + "step": 3621 + }, + { + "epoch": 0.11, + "learning_rate": 9.847762630812075e-06, + "loss": 1.0495, + "step": 3622 + }, + { + "epoch": 0.11, + "learning_rate": 9.847646101109823e-06, + "loss": 0.9215, + "step": 3623 + }, + { + "epoch": 0.11, + "learning_rate": 9.847529527515937e-06, + "loss": 0.8428, + "step": 3624 + }, + { + "epoch": 0.11, + "learning_rate": 9.847412910031473e-06, + "loss": 0.8114, + "step": 3625 + }, + { + "epoch": 0.11, + "learning_rate": 9.84729624865749e-06, + "loss": 0.9121, + "step": 3626 + }, + { + "epoch": 0.11, + "learning_rate": 9.84717954339504e-06, + "loss": 0.7934, + "step": 3627 + }, + { + "epoch": 0.11, + "learning_rate": 9.84706279424518e-06, + "loss": 0.8718, + "step": 3628 + }, + { + "epoch": 0.11, + "learning_rate": 9.84694600120897e-06, + "loss": 0.9133, + "step": 3629 + }, + { + "epoch": 0.11, + "learning_rate": 9.846829164287464e-06, + "loss": 0.8017, + "step": 3630 + }, + { + "epoch": 0.11, + "learning_rate": 9.846712283481724e-06, + "loss": 0.7196, + "step": 3631 + }, + { + "epoch": 0.11, + "learning_rate": 9.846595358792804e-06, + "loss": 0.6212, + "step": 3632 + }, + { + "epoch": 0.11, + "learning_rate": 9.846478390221764e-06, + "loss": 0.8389, + "step": 3633 + }, + { + "epoch": 0.11, + "learning_rate": 9.846361377769667e-06, + "loss": 0.4647, + "step": 3634 + }, + { + "epoch": 0.11, + "learning_rate": 9.846244321437566e-06, + "loss": 0.8353, + "step": 3635 + }, + { + "epoch": 0.11, + "learning_rate": 9.846127221226525e-06, + "loss": 1.1759, + "step": 3636 + }, + { + "epoch": 0.11, + "learning_rate": 9.846010077137602e-06, + "loss": 0.7977, + "step": 3637 + }, + { + "epoch": 0.11, + "learning_rate": 9.84589288917186e-06, + "loss": 0.8721, + "step": 3638 + }, + { + "epoch": 0.11, + "learning_rate": 9.845775657330359e-06, + "loss": 0.9528, + "step": 3639 + }, + { + "epoch": 0.11, + "learning_rate": 9.84565838161416e-06, + "loss": 1.0228, + "step": 3640 + }, + { + "epoch": 0.11, + "learning_rate": 9.845541062024324e-06, + "loss": 0.7523, + "step": 3641 + }, + { + "epoch": 0.11, + "learning_rate": 9.845423698561916e-06, + "loss": 0.7961, + "step": 3642 + }, + { + "epoch": 0.11, + "learning_rate": 9.845306291227996e-06, + "loss": 0.8251, + "step": 3643 + }, + { + "epoch": 0.11, + "learning_rate": 9.84518884002363e-06, + "loss": 0.7857, + "step": 3644 + }, + { + "epoch": 0.11, + "learning_rate": 9.845071344949877e-06, + "loss": 0.6971, + "step": 3645 + }, + { + "epoch": 0.11, + "learning_rate": 9.844953806007804e-06, + "loss": 0.8403, + "step": 3646 + }, + { + "epoch": 0.11, + "learning_rate": 9.844836223198475e-06, + "loss": 0.9997, + "step": 3647 + }, + { + "epoch": 0.11, + "learning_rate": 9.844718596522953e-06, + "loss": 0.9472, + "step": 3648 + }, + { + "epoch": 0.11, + "learning_rate": 9.844600925982305e-06, + "loss": 1.0473, + "step": 3649 + }, + { + "epoch": 0.11, + "learning_rate": 9.844483211577596e-06, + "loss": 0.8128, + "step": 3650 + }, + { + "epoch": 0.11, + "learning_rate": 9.84436545330989e-06, + "loss": 0.6118, + "step": 3651 + }, + { + "epoch": 0.11, + "learning_rate": 9.844247651180256e-06, + "loss": 0.6607, + "step": 3652 + }, + { + "epoch": 0.11, + "learning_rate": 9.844129805189759e-06, + "loss": 0.8005, + "step": 3653 + }, + { + "epoch": 0.11, + "learning_rate": 9.844011915339466e-06, + "loss": 0.5663, + "step": 3654 + }, + { + "epoch": 0.11, + "learning_rate": 9.843893981630443e-06, + "loss": 0.8844, + "step": 3655 + }, + { + "epoch": 0.11, + "learning_rate": 9.84377600406376e-06, + "loss": 0.9726, + "step": 3656 + }, + { + "epoch": 0.11, + "learning_rate": 9.843657982640487e-06, + "loss": 0.9373, + "step": 3657 + }, + { + "epoch": 0.11, + "learning_rate": 9.843539917361688e-06, + "loss": 0.8118, + "step": 3658 + }, + { + "epoch": 0.11, + "learning_rate": 9.843421808228435e-06, + "loss": 0.7246, + "step": 3659 + }, + { + "epoch": 0.11, + "learning_rate": 9.843303655241795e-06, + "loss": 0.5879, + "step": 3660 + }, + { + "epoch": 0.11, + "learning_rate": 9.843185458402842e-06, + "loss": 0.8531, + "step": 3661 + }, + { + "epoch": 0.11, + "learning_rate": 9.843067217712642e-06, + "loss": 0.6588, + "step": 3662 + }, + { + "epoch": 0.11, + "learning_rate": 9.842948933172268e-06, + "loss": 0.6277, + "step": 3663 + }, + { + "epoch": 0.11, + "learning_rate": 9.842830604782789e-06, + "loss": 1.0783, + "step": 3664 + }, + { + "epoch": 0.11, + "learning_rate": 9.842712232545277e-06, + "loss": 0.896, + "step": 3665 + }, + { + "epoch": 0.11, + "learning_rate": 9.842593816460805e-06, + "loss": 0.7282, + "step": 3666 + }, + { + "epoch": 0.11, + "learning_rate": 9.842475356530443e-06, + "loss": 0.7262, + "step": 3667 + }, + { + "epoch": 0.11, + "learning_rate": 9.842356852755267e-06, + "loss": 1.1885, + "step": 3668 + }, + { + "epoch": 0.11, + "learning_rate": 9.842238305136348e-06, + "loss": 0.9454, + "step": 3669 + }, + { + "epoch": 0.11, + "learning_rate": 9.842119713674757e-06, + "loss": 0.8253, + "step": 3670 + }, + { + "epoch": 0.11, + "learning_rate": 9.842001078371572e-06, + "loss": 0.7776, + "step": 3671 + }, + { + "epoch": 0.11, + "learning_rate": 9.841882399227864e-06, + "loss": 0.7558, + "step": 3672 + }, + { + "epoch": 0.11, + "learning_rate": 9.841763676244708e-06, + "loss": 1.0037, + "step": 3673 + }, + { + "epoch": 0.11, + "learning_rate": 9.841644909423183e-06, + "loss": 1.0361, + "step": 3674 + }, + { + "epoch": 0.11, + "learning_rate": 9.841526098764358e-06, + "loss": 0.7038, + "step": 3675 + }, + { + "epoch": 0.11, + "learning_rate": 9.841407244269312e-06, + "loss": 0.9437, + "step": 3676 + }, + { + "epoch": 0.11, + "learning_rate": 9.841288345939122e-06, + "loss": 0.9839, + "step": 3677 + }, + { + "epoch": 0.11, + "learning_rate": 9.841169403774861e-06, + "loss": 0.8338, + "step": 3678 + }, + { + "epoch": 0.11, + "learning_rate": 9.841050417777612e-06, + "loss": 0.8233, + "step": 3679 + }, + { + "epoch": 0.11, + "learning_rate": 9.840931387948445e-06, + "loss": 0.6172, + "step": 3680 + }, + { + "epoch": 0.11, + "learning_rate": 9.840812314288443e-06, + "loss": 0.8819, + "step": 3681 + }, + { + "epoch": 0.11, + "learning_rate": 9.840693196798683e-06, + "loss": 0.6297, + "step": 3682 + }, + { + "epoch": 0.11, + "learning_rate": 9.84057403548024e-06, + "loss": 0.7198, + "step": 3683 + }, + { + "epoch": 0.11, + "learning_rate": 9.8404548303342e-06, + "loss": 1.0075, + "step": 3684 + }, + { + "epoch": 0.11, + "learning_rate": 9.840335581361638e-06, + "loss": 0.7565, + "step": 3685 + }, + { + "epoch": 0.11, + "learning_rate": 9.84021628856363e-06, + "loss": 0.8155, + "step": 3686 + }, + { + "epoch": 0.11, + "learning_rate": 9.840096951941264e-06, + "loss": 1.0968, + "step": 3687 + }, + { + "epoch": 0.11, + "learning_rate": 9.839977571495614e-06, + "loss": 0.7559, + "step": 3688 + }, + { + "epoch": 0.11, + "learning_rate": 9.839858147227766e-06, + "loss": 0.7495, + "step": 3689 + }, + { + "epoch": 0.11, + "learning_rate": 9.839738679138795e-06, + "loss": 0.4776, + "step": 3690 + }, + { + "epoch": 0.11, + "learning_rate": 9.83961916722979e-06, + "loss": 0.9236, + "step": 3691 + }, + { + "epoch": 0.11, + "learning_rate": 9.839499611501826e-06, + "loss": 0.7201, + "step": 3692 + }, + { + "epoch": 0.11, + "learning_rate": 9.839380011955992e-06, + "loss": 0.7109, + "step": 3693 + }, + { + "epoch": 0.11, + "learning_rate": 9.839260368593366e-06, + "loss": 0.777, + "step": 3694 + }, + { + "epoch": 0.11, + "learning_rate": 9.839140681415034e-06, + "loss": 0.9446, + "step": 3695 + }, + { + "epoch": 0.11, + "learning_rate": 9.839020950422078e-06, + "loss": 0.9898, + "step": 3696 + }, + { + "epoch": 0.11, + "learning_rate": 9.838901175615584e-06, + "loss": 0.8284, + "step": 3697 + }, + { + "epoch": 0.11, + "learning_rate": 9.838781356996634e-06, + "loss": 0.6608, + "step": 3698 + }, + { + "epoch": 0.11, + "learning_rate": 9.838661494566317e-06, + "loss": 0.646, + "step": 3699 + }, + { + "epoch": 0.11, + "learning_rate": 9.838541588325713e-06, + "loss": 0.7898, + "step": 3700 + }, + { + "epoch": 0.11, + "learning_rate": 9.83842163827591e-06, + "loss": 0.766, + "step": 3701 + }, + { + "epoch": 0.11, + "learning_rate": 9.838301644417995e-06, + "loss": 0.827, + "step": 3702 + }, + { + "epoch": 0.11, + "learning_rate": 9.838181606753053e-06, + "loss": 0.6969, + "step": 3703 + }, + { + "epoch": 0.11, + "learning_rate": 9.838061525282173e-06, + "loss": 0.689, + "step": 3704 + }, + { + "epoch": 0.11, + "learning_rate": 9.837941400006439e-06, + "loss": 0.7906, + "step": 3705 + }, + { + "epoch": 0.11, + "learning_rate": 9.83782123092694e-06, + "loss": 0.6956, + "step": 3706 + }, + { + "epoch": 0.11, + "learning_rate": 9.837701018044765e-06, + "loss": 0.8135, + "step": 3707 + }, + { + "epoch": 0.11, + "learning_rate": 9.837580761361003e-06, + "loss": 0.8036, + "step": 3708 + }, + { + "epoch": 0.11, + "learning_rate": 9.83746046087674e-06, + "loss": 0.938, + "step": 3709 + }, + { + "epoch": 0.11, + "learning_rate": 9.837340116593068e-06, + "loss": 0.7707, + "step": 3710 + }, + { + "epoch": 0.11, + "learning_rate": 9.837219728511076e-06, + "loss": 0.4435, + "step": 3711 + }, + { + "epoch": 0.11, + "learning_rate": 9.837099296631851e-06, + "loss": 0.8673, + "step": 3712 + }, + { + "epoch": 0.11, + "learning_rate": 9.836978820956488e-06, + "loss": 0.7379, + "step": 3713 + }, + { + "epoch": 0.11, + "learning_rate": 9.836858301486076e-06, + "loss": 0.7877, + "step": 3714 + }, + { + "epoch": 0.11, + "learning_rate": 9.836737738221704e-06, + "loss": 0.6858, + "step": 3715 + }, + { + "epoch": 0.11, + "learning_rate": 9.836617131164468e-06, + "loss": 0.8248, + "step": 3716 + }, + { + "epoch": 0.11, + "learning_rate": 9.836496480315456e-06, + "loss": 0.7922, + "step": 3717 + }, + { + "epoch": 0.11, + "learning_rate": 9.836375785675762e-06, + "loss": 0.8379, + "step": 3718 + }, + { + "epoch": 0.11, + "learning_rate": 9.83625504724648e-06, + "loss": 0.7192, + "step": 3719 + }, + { + "epoch": 0.11, + "learning_rate": 9.8361342650287e-06, + "loss": 0.5847, + "step": 3720 + }, + { + "epoch": 0.11, + "learning_rate": 9.83601343902352e-06, + "loss": 0.6501, + "step": 3721 + }, + { + "epoch": 0.11, + "learning_rate": 9.83589256923203e-06, + "loss": 0.6333, + "step": 3722 + }, + { + "epoch": 0.11, + "learning_rate": 9.835771655655325e-06, + "loss": 1.0741, + "step": 3723 + }, + { + "epoch": 0.11, + "learning_rate": 9.835650698294502e-06, + "loss": 0.8015, + "step": 3724 + }, + { + "epoch": 0.11, + "learning_rate": 9.835529697150654e-06, + "loss": 0.5693, + "step": 3725 + }, + { + "epoch": 0.11, + "learning_rate": 9.835408652224877e-06, + "loss": 1.0501, + "step": 3726 + }, + { + "epoch": 0.11, + "learning_rate": 9.83528756351827e-06, + "loss": 0.8335, + "step": 3727 + }, + { + "epoch": 0.11, + "learning_rate": 9.835166431031923e-06, + "loss": 0.7061, + "step": 3728 + }, + { + "epoch": 0.11, + "learning_rate": 9.835045254766939e-06, + "loss": 0.8312, + "step": 3729 + }, + { + "epoch": 0.11, + "learning_rate": 9.834924034724414e-06, + "loss": 0.8847, + "step": 3730 + }, + { + "epoch": 0.11, + "learning_rate": 9.834802770905441e-06, + "loss": 0.9888, + "step": 3731 + }, + { + "epoch": 0.11, + "learning_rate": 9.834681463311124e-06, + "loss": 0.8928, + "step": 3732 + }, + { + "epoch": 0.11, + "learning_rate": 9.834560111942558e-06, + "loss": 0.5646, + "step": 3733 + }, + { + "epoch": 0.11, + "learning_rate": 9.83443871680084e-06, + "loss": 0.9957, + "step": 3734 + }, + { + "epoch": 0.11, + "learning_rate": 9.834317277887073e-06, + "loss": 0.8198, + "step": 3735 + }, + { + "epoch": 0.11, + "learning_rate": 9.834195795202355e-06, + "loss": 0.6372, + "step": 3736 + }, + { + "epoch": 0.11, + "learning_rate": 9.834074268747784e-06, + "loss": 0.6824, + "step": 3737 + }, + { + "epoch": 0.11, + "learning_rate": 9.833952698524465e-06, + "loss": 1.0145, + "step": 3738 + }, + { + "epoch": 0.11, + "learning_rate": 9.833831084533494e-06, + "loss": 0.5816, + "step": 3739 + }, + { + "epoch": 0.11, + "learning_rate": 9.833709426775975e-06, + "loss": 0.7731, + "step": 3740 + }, + { + "epoch": 0.11, + "learning_rate": 9.83358772525301e-06, + "loss": 0.8789, + "step": 3741 + }, + { + "epoch": 0.11, + "learning_rate": 9.833465979965696e-06, + "loss": 0.5009, + "step": 3742 + }, + { + "epoch": 0.11, + "learning_rate": 9.833344190915141e-06, + "loss": 0.813, + "step": 3743 + }, + { + "epoch": 0.11, + "learning_rate": 9.833222358102445e-06, + "loss": 0.7702, + "step": 3744 + }, + { + "epoch": 0.11, + "learning_rate": 9.83310048152871e-06, + "loss": 0.8188, + "step": 3745 + }, + { + "epoch": 0.11, + "learning_rate": 9.832978561195044e-06, + "loss": 0.8067, + "step": 3746 + }, + { + "epoch": 0.11, + "learning_rate": 9.832856597102546e-06, + "loss": 0.8521, + "step": 3747 + }, + { + "epoch": 0.11, + "learning_rate": 9.832734589252323e-06, + "loss": 0.8512, + "step": 3748 + }, + { + "epoch": 0.11, + "learning_rate": 9.832612537645479e-06, + "loss": 0.8576, + "step": 3749 + }, + { + "epoch": 0.11, + "learning_rate": 9.832490442283118e-06, + "loss": 0.9208, + "step": 3750 + }, + { + "epoch": 0.11, + "learning_rate": 9.832368303166348e-06, + "loss": 1.0869, + "step": 3751 + }, + { + "epoch": 0.11, + "learning_rate": 9.832246120296271e-06, + "loss": 0.7216, + "step": 3752 + }, + { + "epoch": 0.11, + "learning_rate": 9.832123893673998e-06, + "loss": 0.9553, + "step": 3753 + }, + { + "epoch": 0.11, + "learning_rate": 9.832001623300634e-06, + "loss": 0.7034, + "step": 3754 + }, + { + "epoch": 0.11, + "learning_rate": 9.831879309177284e-06, + "loss": 0.859, + "step": 3755 + }, + { + "epoch": 0.11, + "learning_rate": 9.831756951305055e-06, + "loss": 0.9808, + "step": 3756 + }, + { + "epoch": 0.11, + "learning_rate": 9.831634549685059e-06, + "loss": 0.6424, + "step": 3757 + }, + { + "epoch": 0.11, + "learning_rate": 9.831512104318401e-06, + "loss": 0.9898, + "step": 3758 + }, + { + "epoch": 0.11, + "learning_rate": 9.831389615206191e-06, + "loss": 0.7752, + "step": 3759 + }, + { + "epoch": 0.11, + "learning_rate": 9.831267082349537e-06, + "loss": 0.7549, + "step": 3760 + }, + { + "epoch": 0.11, + "learning_rate": 9.831144505749551e-06, + "loss": 0.7921, + "step": 3761 + }, + { + "epoch": 0.11, + "learning_rate": 9.83102188540734e-06, + "loss": 1.0765, + "step": 3762 + }, + { + "epoch": 0.11, + "learning_rate": 9.830899221324014e-06, + "loss": 0.7302, + "step": 3763 + }, + { + "epoch": 0.11, + "learning_rate": 9.830776513500684e-06, + "loss": 0.8183, + "step": 3764 + }, + { + "epoch": 0.11, + "learning_rate": 9.830653761938464e-06, + "loss": 0.6852, + "step": 3765 + }, + { + "epoch": 0.11, + "learning_rate": 9.830530966638462e-06, + "loss": 0.7555, + "step": 3766 + }, + { + "epoch": 0.11, + "learning_rate": 9.830408127601792e-06, + "loss": 0.9518, + "step": 3767 + }, + { + "epoch": 0.11, + "learning_rate": 9.830285244829565e-06, + "loss": 0.7443, + "step": 3768 + }, + { + "epoch": 0.11, + "learning_rate": 9.830162318322892e-06, + "loss": 0.8926, + "step": 3769 + }, + { + "epoch": 0.11, + "learning_rate": 9.83003934808289e-06, + "loss": 0.7485, + "step": 3770 + }, + { + "epoch": 0.11, + "learning_rate": 9.82991633411067e-06, + "loss": 0.991, + "step": 3771 + }, + { + "epoch": 0.11, + "learning_rate": 9.829793276407345e-06, + "loss": 0.7931, + "step": 3772 + }, + { + "epoch": 0.11, + "learning_rate": 9.82967017497403e-06, + "loss": 0.9279, + "step": 3773 + }, + { + "epoch": 0.11, + "learning_rate": 9.829547029811841e-06, + "loss": 0.8861, + "step": 3774 + }, + { + "epoch": 0.11, + "learning_rate": 9.82942384092189e-06, + "loss": 0.5689, + "step": 3775 + }, + { + "epoch": 0.11, + "learning_rate": 9.829300608305296e-06, + "loss": 0.449, + "step": 3776 + }, + { + "epoch": 0.11, + "learning_rate": 9.829177331963172e-06, + "loss": 0.7878, + "step": 3777 + }, + { + "epoch": 0.11, + "learning_rate": 9.829054011896637e-06, + "loss": 0.9328, + "step": 3778 + }, + { + "epoch": 0.11, + "learning_rate": 9.828930648106803e-06, + "loss": 0.648, + "step": 3779 + }, + { + "epoch": 0.11, + "learning_rate": 9.828807240594791e-06, + "loss": 1.011, + "step": 3780 + }, + { + "epoch": 0.11, + "learning_rate": 9.828683789361718e-06, + "loss": 0.761, + "step": 3781 + }, + { + "epoch": 0.11, + "learning_rate": 9.828560294408698e-06, + "loss": 0.7318, + "step": 3782 + }, + { + "epoch": 0.11, + "learning_rate": 9.828436755736854e-06, + "loss": 0.7982, + "step": 3783 + }, + { + "epoch": 0.11, + "learning_rate": 9.828313173347301e-06, + "loss": 1.1321, + "step": 3784 + }, + { + "epoch": 0.11, + "learning_rate": 9.82818954724116e-06, + "loss": 0.9668, + "step": 3785 + }, + { + "epoch": 0.11, + "learning_rate": 9.82806587741955e-06, + "loss": 0.9228, + "step": 3786 + }, + { + "epoch": 0.11, + "learning_rate": 9.82794216388359e-06, + "loss": 0.7908, + "step": 3787 + }, + { + "epoch": 0.11, + "learning_rate": 9.827818406634402e-06, + "loss": 0.9095, + "step": 3788 + }, + { + "epoch": 0.11, + "learning_rate": 9.827694605673104e-06, + "loss": 0.9933, + "step": 3789 + }, + { + "epoch": 0.11, + "learning_rate": 9.827570761000817e-06, + "loss": 0.8715, + "step": 3790 + }, + { + "epoch": 0.11, + "learning_rate": 9.827446872618666e-06, + "loss": 0.9777, + "step": 3791 + }, + { + "epoch": 0.11, + "learning_rate": 9.827322940527768e-06, + "loss": 0.7943, + "step": 3792 + }, + { + "epoch": 0.11, + "learning_rate": 9.827198964729247e-06, + "loss": 0.8657, + "step": 3793 + }, + { + "epoch": 0.11, + "learning_rate": 9.827074945224227e-06, + "loss": 0.8874, + "step": 3794 + }, + { + "epoch": 0.11, + "learning_rate": 9.82695088201383e-06, + "loss": 0.7993, + "step": 3795 + }, + { + "epoch": 0.11, + "learning_rate": 9.826826775099176e-06, + "loss": 0.9128, + "step": 3796 + }, + { + "epoch": 0.11, + "learning_rate": 9.826702624481394e-06, + "loss": 0.7115, + "step": 3797 + }, + { + "epoch": 0.11, + "learning_rate": 9.826578430161605e-06, + "loss": 0.7782, + "step": 3798 + }, + { + "epoch": 0.11, + "learning_rate": 9.826454192140934e-06, + "loss": 0.7582, + "step": 3799 + }, + { + "epoch": 0.11, + "learning_rate": 9.826329910420508e-06, + "loss": 0.8192, + "step": 3800 + }, + { + "epoch": 0.11, + "learning_rate": 9.826205585001448e-06, + "loss": 0.6333, + "step": 3801 + }, + { + "epoch": 0.11, + "learning_rate": 9.826081215884882e-06, + "loss": 0.8798, + "step": 3802 + }, + { + "epoch": 0.11, + "learning_rate": 9.825956803071936e-06, + "loss": 0.6878, + "step": 3803 + }, + { + "epoch": 0.11, + "learning_rate": 9.825832346563736e-06, + "loss": 1.0528, + "step": 3804 + }, + { + "epoch": 0.11, + "learning_rate": 9.825707846361412e-06, + "loss": 1.1208, + "step": 3805 + }, + { + "epoch": 0.11, + "learning_rate": 9.825583302466085e-06, + "loss": 0.8712, + "step": 3806 + }, + { + "epoch": 0.11, + "learning_rate": 9.825458714878888e-06, + "loss": 0.7571, + "step": 3807 + }, + { + "epoch": 0.11, + "learning_rate": 9.825334083600948e-06, + "loss": 0.6156, + "step": 3808 + }, + { + "epoch": 0.11, + "learning_rate": 9.825209408633392e-06, + "loss": 0.494, + "step": 3809 + }, + { + "epoch": 0.11, + "learning_rate": 9.825084689977348e-06, + "loss": 0.6425, + "step": 3810 + }, + { + "epoch": 0.11, + "learning_rate": 9.824959927633949e-06, + "loss": 0.7468, + "step": 3811 + }, + { + "epoch": 0.11, + "learning_rate": 9.824835121604321e-06, + "loss": 0.6071, + "step": 3812 + }, + { + "epoch": 0.11, + "learning_rate": 9.824710271889597e-06, + "loss": 1.024, + "step": 3813 + }, + { + "epoch": 0.11, + "learning_rate": 9.824585378490906e-06, + "loss": 0.638, + "step": 3814 + }, + { + "epoch": 0.11, + "learning_rate": 9.824460441409377e-06, + "loss": 0.6855, + "step": 3815 + }, + { + "epoch": 0.11, + "learning_rate": 9.824335460646143e-06, + "loss": 0.6036, + "step": 3816 + }, + { + "epoch": 0.11, + "learning_rate": 9.824210436202336e-06, + "loss": 1.1154, + "step": 3817 + }, + { + "epoch": 0.11, + "learning_rate": 9.824085368079087e-06, + "loss": 0.7137, + "step": 3818 + }, + { + "epoch": 0.11, + "learning_rate": 9.82396025627753e-06, + "loss": 0.7375, + "step": 3819 + }, + { + "epoch": 0.11, + "learning_rate": 9.823835100798796e-06, + "loss": 0.8515, + "step": 3820 + }, + { + "epoch": 0.11, + "learning_rate": 9.823709901644018e-06, + "loss": 0.7874, + "step": 3821 + }, + { + "epoch": 0.11, + "learning_rate": 9.823584658814332e-06, + "loss": 1.0659, + "step": 3822 + }, + { + "epoch": 0.11, + "learning_rate": 9.823459372310868e-06, + "loss": 0.8597, + "step": 3823 + }, + { + "epoch": 0.11, + "learning_rate": 9.823334042134764e-06, + "loss": 0.9531, + "step": 3824 + }, + { + "epoch": 0.11, + "learning_rate": 9.823208668287153e-06, + "loss": 0.6359, + "step": 3825 + }, + { + "epoch": 0.11, + "learning_rate": 9.823083250769172e-06, + "loss": 0.8735, + "step": 3826 + }, + { + "epoch": 0.11, + "learning_rate": 9.822957789581955e-06, + "loss": 0.7566, + "step": 3827 + }, + { + "epoch": 0.11, + "learning_rate": 9.822832284726638e-06, + "loss": 0.5881, + "step": 3828 + }, + { + "epoch": 0.11, + "learning_rate": 9.822706736204358e-06, + "loss": 0.8239, + "step": 3829 + }, + { + "epoch": 0.11, + "learning_rate": 9.82258114401625e-06, + "loss": 0.8898, + "step": 3830 + }, + { + "epoch": 0.11, + "learning_rate": 9.822455508163452e-06, + "loss": 0.7458, + "step": 3831 + }, + { + "epoch": 0.11, + "learning_rate": 9.822329828647103e-06, + "loss": 0.6572, + "step": 3832 + }, + { + "epoch": 0.11, + "learning_rate": 9.822204105468341e-06, + "loss": 0.9748, + "step": 3833 + }, + { + "epoch": 0.11, + "learning_rate": 9.8220783386283e-06, + "loss": 0.5797, + "step": 3834 + }, + { + "epoch": 0.11, + "learning_rate": 9.821952528128125e-06, + "loss": 0.6814, + "step": 3835 + }, + { + "epoch": 0.11, + "learning_rate": 9.82182667396895e-06, + "loss": 0.9085, + "step": 3836 + }, + { + "epoch": 0.11, + "learning_rate": 9.821700776151919e-06, + "loss": 0.9365, + "step": 3837 + }, + { + "epoch": 0.11, + "learning_rate": 9.821574834678167e-06, + "loss": 0.8143, + "step": 3838 + }, + { + "epoch": 0.11, + "learning_rate": 9.821448849548839e-06, + "loss": 0.7587, + "step": 3839 + }, + { + "epoch": 0.11, + "learning_rate": 9.821322820765072e-06, + "loss": 0.6929, + "step": 3840 + }, + { + "epoch": 0.11, + "learning_rate": 9.821196748328007e-06, + "loss": 0.7206, + "step": 3841 + }, + { + "epoch": 0.11, + "learning_rate": 9.82107063223879e-06, + "loss": 0.5392, + "step": 3842 + }, + { + "epoch": 0.11, + "learning_rate": 9.82094447249856e-06, + "loss": 0.915, + "step": 3843 + }, + { + "epoch": 0.11, + "learning_rate": 9.820818269108456e-06, + "loss": 0.7861, + "step": 3844 + }, + { + "epoch": 0.11, + "learning_rate": 9.820692022069627e-06, + "loss": 0.724, + "step": 3845 + }, + { + "epoch": 0.11, + "learning_rate": 9.820565731383212e-06, + "loss": 0.7878, + "step": 3846 + }, + { + "epoch": 0.11, + "learning_rate": 9.820439397050355e-06, + "loss": 0.7245, + "step": 3847 + }, + { + "epoch": 0.11, + "learning_rate": 9.820313019072199e-06, + "loss": 0.6847, + "step": 3848 + }, + { + "epoch": 0.11, + "learning_rate": 9.820186597449891e-06, + "loss": 0.9446, + "step": 3849 + }, + { + "epoch": 0.11, + "learning_rate": 9.820060132184575e-06, + "loss": 0.5532, + "step": 3850 + }, + { + "epoch": 0.11, + "learning_rate": 9.819933623277393e-06, + "loss": 0.6646, + "step": 3851 + }, + { + "epoch": 0.11, + "learning_rate": 9.819807070729495e-06, + "loss": 0.748, + "step": 3852 + }, + { + "epoch": 0.11, + "learning_rate": 9.819680474542023e-06, + "loss": 0.5797, + "step": 3853 + }, + { + "epoch": 0.11, + "learning_rate": 9.819553834716124e-06, + "loss": 0.8086, + "step": 3854 + }, + { + "epoch": 0.11, + "learning_rate": 9.819427151252947e-06, + "loss": 0.9966, + "step": 3855 + }, + { + "epoch": 0.11, + "learning_rate": 9.819300424153637e-06, + "loss": 0.5036, + "step": 3856 + }, + { + "epoch": 0.11, + "learning_rate": 9.81917365341934e-06, + "loss": 0.5254, + "step": 3857 + }, + { + "epoch": 0.11, + "learning_rate": 9.819046839051208e-06, + "loss": 0.8458, + "step": 3858 + }, + { + "epoch": 0.11, + "learning_rate": 9.818919981050385e-06, + "loss": 0.6144, + "step": 3859 + }, + { + "epoch": 0.11, + "learning_rate": 9.818793079418023e-06, + "loss": 0.7611, + "step": 3860 + }, + { + "epoch": 0.11, + "learning_rate": 9.818666134155269e-06, + "loss": 0.9027, + "step": 3861 + }, + { + "epoch": 0.11, + "learning_rate": 9.818539145263272e-06, + "loss": 0.6227, + "step": 3862 + }, + { + "epoch": 0.11, + "learning_rate": 9.818412112743182e-06, + "loss": 0.7344, + "step": 3863 + }, + { + "epoch": 0.11, + "learning_rate": 9.818285036596151e-06, + "loss": 0.7506, + "step": 3864 + }, + { + "epoch": 0.11, + "learning_rate": 9.818157916823328e-06, + "loss": 0.748, + "step": 3865 + }, + { + "epoch": 0.11, + "learning_rate": 9.818030753425864e-06, + "loss": 0.8213, + "step": 3866 + }, + { + "epoch": 0.11, + "learning_rate": 9.81790354640491e-06, + "loss": 0.6682, + "step": 3867 + }, + { + "epoch": 0.11, + "learning_rate": 9.81777629576162e-06, + "loss": 0.9705, + "step": 3868 + }, + { + "epoch": 0.11, + "learning_rate": 9.817649001497144e-06, + "loss": 0.6132, + "step": 3869 + }, + { + "epoch": 0.11, + "learning_rate": 9.817521663612634e-06, + "loss": 0.8836, + "step": 3870 + }, + { + "epoch": 0.11, + "learning_rate": 9.817394282109245e-06, + "loss": 0.5228, + "step": 3871 + }, + { + "epoch": 0.11, + "learning_rate": 9.817266856988131e-06, + "loss": 0.5071, + "step": 3872 + }, + { + "epoch": 0.11, + "learning_rate": 9.817139388250441e-06, + "loss": 0.7063, + "step": 3873 + }, + { + "epoch": 0.11, + "learning_rate": 9.817011875897332e-06, + "loss": 0.8654, + "step": 3874 + }, + { + "epoch": 0.11, + "learning_rate": 9.816884319929962e-06, + "loss": 0.8099, + "step": 3875 + }, + { + "epoch": 0.11, + "learning_rate": 9.81675672034948e-06, + "loss": 0.6804, + "step": 3876 + }, + { + "epoch": 0.11, + "learning_rate": 9.816629077157045e-06, + "loss": 1.1384, + "step": 3877 + }, + { + "epoch": 0.11, + "learning_rate": 9.816501390353812e-06, + "loss": 0.5595, + "step": 3878 + }, + { + "epoch": 0.11, + "learning_rate": 9.816373659940936e-06, + "loss": 0.6581, + "step": 3879 + }, + { + "epoch": 0.11, + "learning_rate": 9.816245885919575e-06, + "loss": 0.6001, + "step": 3880 + }, + { + "epoch": 0.11, + "learning_rate": 9.816118068290884e-06, + "loss": 0.6925, + "step": 3881 + }, + { + "epoch": 0.11, + "learning_rate": 9.815990207056025e-06, + "loss": 0.8906, + "step": 3882 + }, + { + "epoch": 0.11, + "learning_rate": 9.81586230221615e-06, + "loss": 0.9757, + "step": 3883 + }, + { + "epoch": 0.11, + "learning_rate": 9.815734353772419e-06, + "loss": 0.6414, + "step": 3884 + }, + { + "epoch": 0.11, + "learning_rate": 9.81560636172599e-06, + "loss": 0.6736, + "step": 3885 + }, + { + "epoch": 0.11, + "learning_rate": 9.815478326078023e-06, + "loss": 0.8065, + "step": 3886 + }, + { + "epoch": 0.11, + "learning_rate": 9.815350246829677e-06, + "loss": 0.8772, + "step": 3887 + }, + { + "epoch": 0.11, + "learning_rate": 9.815222123982114e-06, + "loss": 0.8563, + "step": 3888 + }, + { + "epoch": 0.11, + "learning_rate": 9.815093957536487e-06, + "loss": 0.9005, + "step": 3889 + }, + { + "epoch": 0.11, + "learning_rate": 9.814965747493965e-06, + "loss": 0.8406, + "step": 3890 + }, + { + "epoch": 0.11, + "learning_rate": 9.814837493855701e-06, + "loss": 0.596, + "step": 3891 + }, + { + "epoch": 0.11, + "learning_rate": 9.814709196622863e-06, + "loss": 0.6896, + "step": 3892 + }, + { + "epoch": 0.11, + "learning_rate": 9.814580855796609e-06, + "loss": 0.5272, + "step": 3893 + }, + { + "epoch": 0.11, + "learning_rate": 9.814452471378102e-06, + "loss": 0.8333, + "step": 3894 + }, + { + "epoch": 0.11, + "learning_rate": 9.814324043368505e-06, + "loss": 0.9717, + "step": 3895 + }, + { + "epoch": 0.11, + "learning_rate": 9.814195571768979e-06, + "loss": 0.9719, + "step": 3896 + }, + { + "epoch": 0.11, + "learning_rate": 9.814067056580687e-06, + "loss": 0.7872, + "step": 3897 + }, + { + "epoch": 0.11, + "learning_rate": 9.813938497804795e-06, + "loss": 1.0325, + "step": 3898 + }, + { + "epoch": 0.11, + "learning_rate": 9.813809895442466e-06, + "loss": 1.1278, + "step": 3899 + }, + { + "epoch": 0.11, + "learning_rate": 9.813681249494864e-06, + "loss": 0.6322, + "step": 3900 + }, + { + "epoch": 0.11, + "learning_rate": 9.813552559963153e-06, + "loss": 0.7071, + "step": 3901 + }, + { + "epoch": 0.11, + "learning_rate": 9.8134238268485e-06, + "loss": 0.7784, + "step": 3902 + }, + { + "epoch": 0.11, + "learning_rate": 9.813295050152071e-06, + "loss": 0.7043, + "step": 3903 + }, + { + "epoch": 0.11, + "learning_rate": 9.813166229875028e-06, + "loss": 0.705, + "step": 3904 + }, + { + "epoch": 0.11, + "learning_rate": 9.813037366018543e-06, + "loss": 0.7759, + "step": 3905 + }, + { + "epoch": 0.11, + "learning_rate": 9.812908458583779e-06, + "loss": 0.8032, + "step": 3906 + }, + { + "epoch": 0.11, + "learning_rate": 9.812779507571903e-06, + "loss": 0.9046, + "step": 3907 + }, + { + "epoch": 0.11, + "learning_rate": 9.812650512984083e-06, + "loss": 0.8029, + "step": 3908 + }, + { + "epoch": 0.11, + "learning_rate": 9.812521474821488e-06, + "loss": 0.8394, + "step": 3909 + }, + { + "epoch": 0.11, + "learning_rate": 9.812392393085288e-06, + "loss": 0.6347, + "step": 3910 + }, + { + "epoch": 0.11, + "learning_rate": 9.812263267776647e-06, + "loss": 0.5775, + "step": 3911 + }, + { + "epoch": 0.11, + "learning_rate": 9.812134098896738e-06, + "loss": 0.8641, + "step": 3912 + }, + { + "epoch": 0.11, + "learning_rate": 9.812004886446728e-06, + "loss": 1.0366, + "step": 3913 + }, + { + "epoch": 0.11, + "learning_rate": 9.81187563042779e-06, + "loss": 0.9386, + "step": 3914 + }, + { + "epoch": 0.12, + "learning_rate": 9.81174633084109e-06, + "loss": 0.7361, + "step": 3915 + }, + { + "epoch": 0.12, + "learning_rate": 9.811616987687803e-06, + "loss": 0.6936, + "step": 3916 + }, + { + "epoch": 0.12, + "learning_rate": 9.811487600969097e-06, + "loss": 0.6961, + "step": 3917 + }, + { + "epoch": 0.12, + "learning_rate": 9.811358170686145e-06, + "loss": 0.8352, + "step": 3918 + }, + { + "epoch": 0.12, + "learning_rate": 9.811228696840121e-06, + "loss": 0.6843, + "step": 3919 + }, + { + "epoch": 0.12, + "learning_rate": 9.811099179432192e-06, + "loss": 0.8613, + "step": 3920 + }, + { + "epoch": 0.12, + "learning_rate": 9.810969618463536e-06, + "loss": 0.7746, + "step": 3921 + }, + { + "epoch": 0.12, + "learning_rate": 9.81084001393532e-06, + "loss": 0.8794, + "step": 3922 + }, + { + "epoch": 0.12, + "learning_rate": 9.810710365848724e-06, + "loss": 0.7421, + "step": 3923 + }, + { + "epoch": 0.12, + "learning_rate": 9.81058067420492e-06, + "loss": 0.7737, + "step": 3924 + }, + { + "epoch": 0.12, + "learning_rate": 9.81045093900508e-06, + "loss": 0.5533, + "step": 3925 + }, + { + "epoch": 0.12, + "learning_rate": 9.810321160250377e-06, + "loss": 0.8805, + "step": 3926 + }, + { + "epoch": 0.12, + "learning_rate": 9.810191337941992e-06, + "loss": 0.6951, + "step": 3927 + }, + { + "epoch": 0.12, + "learning_rate": 9.810061472081099e-06, + "loss": 0.9477, + "step": 3928 + }, + { + "epoch": 0.12, + "learning_rate": 9.809931562668868e-06, + "loss": 0.744, + "step": 3929 + }, + { + "epoch": 0.12, + "learning_rate": 9.809801609706482e-06, + "loss": 0.9448, + "step": 3930 + }, + { + "epoch": 0.12, + "learning_rate": 9.809671613195115e-06, + "loss": 0.8677, + "step": 3931 + }, + { + "epoch": 0.12, + "learning_rate": 9.809541573135943e-06, + "loss": 0.8881, + "step": 3932 + }, + { + "epoch": 0.12, + "learning_rate": 9.809411489530147e-06, + "loss": 0.6081, + "step": 3933 + }, + { + "epoch": 0.12, + "learning_rate": 9.8092813623789e-06, + "loss": 0.8981, + "step": 3934 + }, + { + "epoch": 0.12, + "learning_rate": 9.809151191683383e-06, + "loss": 0.9076, + "step": 3935 + }, + { + "epoch": 0.12, + "learning_rate": 9.809020977444774e-06, + "loss": 1.0336, + "step": 3936 + }, + { + "epoch": 0.12, + "learning_rate": 9.808890719664252e-06, + "loss": 0.7995, + "step": 3937 + }, + { + "epoch": 0.12, + "learning_rate": 9.808760418342997e-06, + "loss": 1.0944, + "step": 3938 + }, + { + "epoch": 0.12, + "learning_rate": 9.808630073482188e-06, + "loss": 0.7991, + "step": 3939 + }, + { + "epoch": 0.12, + "learning_rate": 9.808499685083006e-06, + "loss": 0.7795, + "step": 3940 + }, + { + "epoch": 0.12, + "learning_rate": 9.808369253146631e-06, + "loss": 0.9145, + "step": 3941 + }, + { + "epoch": 0.12, + "learning_rate": 9.808238777674242e-06, + "loss": 0.9026, + "step": 3942 + }, + { + "epoch": 0.12, + "learning_rate": 9.808108258667023e-06, + "loss": 0.9361, + "step": 3943 + }, + { + "epoch": 0.12, + "learning_rate": 9.807977696126156e-06, + "loss": 0.7323, + "step": 3944 + }, + { + "epoch": 0.12, + "learning_rate": 9.807847090052823e-06, + "loss": 0.67, + "step": 3945 + }, + { + "epoch": 0.12, + "learning_rate": 9.807716440448205e-06, + "loss": 0.8083, + "step": 3946 + }, + { + "epoch": 0.12, + "learning_rate": 9.807585747313484e-06, + "loss": 0.8379, + "step": 3947 + }, + { + "epoch": 0.12, + "learning_rate": 9.807455010649846e-06, + "loss": 0.5658, + "step": 3948 + }, + { + "epoch": 0.12, + "learning_rate": 9.807324230458475e-06, + "loss": 0.6925, + "step": 3949 + }, + { + "epoch": 0.12, + "learning_rate": 9.807193406740551e-06, + "loss": 0.5578, + "step": 3950 + }, + { + "epoch": 0.12, + "learning_rate": 9.807062539497264e-06, + "loss": 0.9054, + "step": 3951 + }, + { + "epoch": 0.12, + "learning_rate": 9.806931628729794e-06, + "loss": 0.792, + "step": 3952 + }, + { + "epoch": 0.12, + "learning_rate": 9.806800674439331e-06, + "loss": 0.9176, + "step": 3953 + }, + { + "epoch": 0.12, + "learning_rate": 9.806669676627056e-06, + "loss": 0.8874, + "step": 3954 + }, + { + "epoch": 0.12, + "learning_rate": 9.806538635294159e-06, + "loss": 0.6448, + "step": 3955 + }, + { + "epoch": 0.12, + "learning_rate": 9.806407550441824e-06, + "loss": 0.7966, + "step": 3956 + }, + { + "epoch": 0.12, + "learning_rate": 9.806276422071238e-06, + "loss": 0.7183, + "step": 3957 + }, + { + "epoch": 0.12, + "learning_rate": 9.806145250183589e-06, + "loss": 0.6066, + "step": 3958 + }, + { + "epoch": 0.12, + "learning_rate": 9.806014034780066e-06, + "loss": 0.7932, + "step": 3959 + }, + { + "epoch": 0.12, + "learning_rate": 9.805882775861855e-06, + "loss": 0.6007, + "step": 3960 + }, + { + "epoch": 0.12, + "learning_rate": 9.805751473430144e-06, + "loss": 1.0018, + "step": 3961 + }, + { + "epoch": 0.12, + "learning_rate": 9.805620127486124e-06, + "loss": 1.0353, + "step": 3962 + }, + { + "epoch": 0.12, + "learning_rate": 9.805488738030981e-06, + "loss": 0.7816, + "step": 3963 + }, + { + "epoch": 0.12, + "learning_rate": 9.805357305065909e-06, + "loss": 0.6929, + "step": 3964 + }, + { + "epoch": 0.12, + "learning_rate": 9.805225828592095e-06, + "loss": 1.0213, + "step": 3965 + }, + { + "epoch": 0.12, + "learning_rate": 9.805094308610729e-06, + "loss": 0.4002, + "step": 3966 + }, + { + "epoch": 0.12, + "learning_rate": 9.804962745123006e-06, + "loss": 0.7345, + "step": 3967 + }, + { + "epoch": 0.12, + "learning_rate": 9.804831138130113e-06, + "loss": 0.7139, + "step": 3968 + }, + { + "epoch": 0.12, + "learning_rate": 9.80469948763324e-06, + "loss": 0.7964, + "step": 3969 + }, + { + "epoch": 0.12, + "learning_rate": 9.804567793633585e-06, + "loss": 0.8613, + "step": 3970 + }, + { + "epoch": 0.12, + "learning_rate": 9.804436056132337e-06, + "loss": 0.8523, + "step": 3971 + }, + { + "epoch": 0.12, + "learning_rate": 9.804304275130689e-06, + "loss": 0.9716, + "step": 3972 + }, + { + "epoch": 0.12, + "learning_rate": 9.804172450629832e-06, + "loss": 0.781, + "step": 3973 + }, + { + "epoch": 0.12, + "learning_rate": 9.804040582630963e-06, + "loss": 0.5668, + "step": 3974 + }, + { + "epoch": 0.12, + "learning_rate": 9.803908671135275e-06, + "loss": 0.7401, + "step": 3975 + }, + { + "epoch": 0.12, + "learning_rate": 9.803776716143962e-06, + "loss": 0.6532, + "step": 3976 + }, + { + "epoch": 0.12, + "learning_rate": 9.803644717658218e-06, + "loss": 0.8486, + "step": 3977 + }, + { + "epoch": 0.12, + "learning_rate": 9.80351267567924e-06, + "loss": 0.6978, + "step": 3978 + }, + { + "epoch": 0.12, + "learning_rate": 9.803380590208221e-06, + "loss": 0.9229, + "step": 3979 + }, + { + "epoch": 0.12, + "learning_rate": 9.80324846124636e-06, + "loss": 0.535, + "step": 3980 + }, + { + "epoch": 0.12, + "learning_rate": 9.80311628879485e-06, + "loss": 0.8648, + "step": 3981 + }, + { + "epoch": 0.12, + "learning_rate": 9.802984072854892e-06, + "loss": 0.831, + "step": 3982 + }, + { + "epoch": 0.12, + "learning_rate": 9.802851813427677e-06, + "loss": 1.1785, + "step": 3983 + }, + { + "epoch": 0.12, + "learning_rate": 9.802719510514408e-06, + "loss": 0.9345, + "step": 3984 + }, + { + "epoch": 0.12, + "learning_rate": 9.80258716411628e-06, + "loss": 0.74, + "step": 3985 + }, + { + "epoch": 0.12, + "learning_rate": 9.802454774234493e-06, + "loss": 0.8202, + "step": 3986 + }, + { + "epoch": 0.12, + "learning_rate": 9.802322340870245e-06, + "loss": 0.8503, + "step": 3987 + }, + { + "epoch": 0.12, + "learning_rate": 9.802189864024735e-06, + "loss": 0.7966, + "step": 3988 + }, + { + "epoch": 0.12, + "learning_rate": 9.802057343699163e-06, + "loss": 0.9202, + "step": 3989 + }, + { + "epoch": 0.12, + "learning_rate": 9.801924779894726e-06, + "loss": 0.893, + "step": 3990 + }, + { + "epoch": 0.12, + "learning_rate": 9.80179217261263e-06, + "loss": 0.6355, + "step": 3991 + }, + { + "epoch": 0.12, + "learning_rate": 9.80165952185407e-06, + "loss": 0.6873, + "step": 3992 + }, + { + "epoch": 0.12, + "learning_rate": 9.80152682762025e-06, + "loss": 0.7323, + "step": 3993 + }, + { + "epoch": 0.12, + "learning_rate": 9.80139408991237e-06, + "loss": 0.7376, + "step": 3994 + }, + { + "epoch": 0.12, + "learning_rate": 9.801261308731633e-06, + "loss": 0.5899, + "step": 3995 + }, + { + "epoch": 0.12, + "learning_rate": 9.801128484079241e-06, + "loss": 0.7525, + "step": 3996 + }, + { + "epoch": 0.12, + "learning_rate": 9.800995615956397e-06, + "loss": 0.8095, + "step": 3997 + }, + { + "epoch": 0.12, + "learning_rate": 9.800862704364302e-06, + "loss": 0.8046, + "step": 3998 + }, + { + "epoch": 0.12, + "learning_rate": 9.800729749304163e-06, + "loss": 0.7608, + "step": 3999 + }, + { + "epoch": 0.12, + "learning_rate": 9.80059675077718e-06, + "loss": 0.8245, + "step": 4000 + }, + { + "epoch": 0.12, + "learning_rate": 9.800463708784559e-06, + "loss": 0.6852, + "step": 4001 + }, + { + "epoch": 0.12, + "learning_rate": 9.800330623327504e-06, + "loss": 0.6813, + "step": 4002 + }, + { + "epoch": 0.12, + "learning_rate": 9.800197494407222e-06, + "loss": 0.9905, + "step": 4003 + }, + { + "epoch": 0.12, + "learning_rate": 9.800064322024916e-06, + "loss": 0.5384, + "step": 4004 + }, + { + "epoch": 0.12, + "learning_rate": 9.799931106181791e-06, + "loss": 0.9703, + "step": 4005 + }, + { + "epoch": 0.12, + "learning_rate": 9.799797846879057e-06, + "loss": 0.7996, + "step": 4006 + }, + { + "epoch": 0.12, + "learning_rate": 9.799664544117918e-06, + "loss": 0.7078, + "step": 4007 + }, + { + "epoch": 0.12, + "learning_rate": 9.799531197899578e-06, + "loss": 0.5414, + "step": 4008 + }, + { + "epoch": 0.12, + "learning_rate": 9.799397808225252e-06, + "loss": 0.761, + "step": 4009 + }, + { + "epoch": 0.12, + "learning_rate": 9.799264375096141e-06, + "loss": 0.7426, + "step": 4010 + }, + { + "epoch": 0.12, + "learning_rate": 9.799130898513456e-06, + "loss": 0.8485, + "step": 4011 + }, + { + "epoch": 0.12, + "learning_rate": 9.798997378478406e-06, + "loss": 0.8038, + "step": 4012 + }, + { + "epoch": 0.12, + "learning_rate": 9.798863814992197e-06, + "loss": 0.7576, + "step": 4013 + }, + { + "epoch": 0.12, + "learning_rate": 9.798730208056042e-06, + "loss": 0.8325, + "step": 4014 + }, + { + "epoch": 0.12, + "learning_rate": 9.798596557671148e-06, + "loss": 0.7699, + "step": 4015 + }, + { + "epoch": 0.12, + "learning_rate": 9.798462863838725e-06, + "loss": 0.6528, + "step": 4016 + }, + { + "epoch": 0.12, + "learning_rate": 9.798329126559987e-06, + "loss": 0.7161, + "step": 4017 + }, + { + "epoch": 0.12, + "learning_rate": 9.798195345836141e-06, + "loss": 1.0262, + "step": 4018 + }, + { + "epoch": 0.12, + "learning_rate": 9.7980615216684e-06, + "loss": 0.6055, + "step": 4019 + }, + { + "epoch": 0.12, + "learning_rate": 9.797927654057975e-06, + "loss": 0.5758, + "step": 4020 + }, + { + "epoch": 0.12, + "learning_rate": 9.797793743006079e-06, + "loss": 0.9193, + "step": 4021 + }, + { + "epoch": 0.12, + "learning_rate": 9.797659788513922e-06, + "loss": 1.0027, + "step": 4022 + }, + { + "epoch": 0.12, + "learning_rate": 9.79752579058272e-06, + "loss": 1.0292, + "step": 4023 + }, + { + "epoch": 0.12, + "learning_rate": 9.797391749213687e-06, + "loss": 0.9508, + "step": 4024 + }, + { + "epoch": 0.12, + "learning_rate": 9.797257664408033e-06, + "loss": 0.7553, + "step": 4025 + }, + { + "epoch": 0.12, + "learning_rate": 9.797123536166973e-06, + "loss": 0.8157, + "step": 4026 + }, + { + "epoch": 0.12, + "learning_rate": 9.796989364491722e-06, + "loss": 0.5659, + "step": 4027 + }, + { + "epoch": 0.12, + "learning_rate": 9.796855149383496e-06, + "loss": 0.6865, + "step": 4028 + }, + { + "epoch": 0.12, + "learning_rate": 9.79672089084351e-06, + "loss": 0.6323, + "step": 4029 + }, + { + "epoch": 0.12, + "learning_rate": 9.796586588872975e-06, + "loss": 0.72, + "step": 4030 + }, + { + "epoch": 0.12, + "learning_rate": 9.796452243473114e-06, + "loss": 0.6031, + "step": 4031 + }, + { + "epoch": 0.12, + "learning_rate": 9.796317854645139e-06, + "loss": 0.7704, + "step": 4032 + }, + { + "epoch": 0.12, + "learning_rate": 9.796183422390268e-06, + "loss": 0.785, + "step": 4033 + }, + { + "epoch": 0.12, + "learning_rate": 9.796048946709718e-06, + "loss": 0.719, + "step": 4034 + }, + { + "epoch": 0.12, + "learning_rate": 9.795914427604707e-06, + "loss": 0.815, + "step": 4035 + }, + { + "epoch": 0.12, + "learning_rate": 9.795779865076453e-06, + "loss": 0.7021, + "step": 4036 + }, + { + "epoch": 0.12, + "learning_rate": 9.795645259126174e-06, + "loss": 1.1096, + "step": 4037 + }, + { + "epoch": 0.12, + "learning_rate": 9.795510609755087e-06, + "loss": 0.8375, + "step": 4038 + }, + { + "epoch": 0.12, + "learning_rate": 9.795375916964414e-06, + "loss": 0.9647, + "step": 4039 + }, + { + "epoch": 0.12, + "learning_rate": 9.795241180755372e-06, + "loss": 0.5641, + "step": 4040 + }, + { + "epoch": 0.12, + "learning_rate": 9.795106401129185e-06, + "loss": 1.1297, + "step": 4041 + }, + { + "epoch": 0.12, + "learning_rate": 9.794971578087068e-06, + "loss": 0.8264, + "step": 4042 + }, + { + "epoch": 0.12, + "learning_rate": 9.794836711630246e-06, + "loss": 0.9647, + "step": 4043 + }, + { + "epoch": 0.12, + "learning_rate": 9.79470180175994e-06, + "loss": 0.7398, + "step": 4044 + }, + { + "epoch": 0.12, + "learning_rate": 9.794566848477369e-06, + "loss": 0.7809, + "step": 4045 + }, + { + "epoch": 0.12, + "learning_rate": 9.794431851783754e-06, + "loss": 0.7717, + "step": 4046 + }, + { + "epoch": 0.12, + "learning_rate": 9.79429681168032e-06, + "loss": 0.8377, + "step": 4047 + }, + { + "epoch": 0.12, + "learning_rate": 9.79416172816829e-06, + "loss": 0.9902, + "step": 4048 + }, + { + "epoch": 0.12, + "learning_rate": 9.794026601248885e-06, + "loss": 0.9304, + "step": 4049 + }, + { + "epoch": 0.12, + "learning_rate": 9.79389143092333e-06, + "loss": 0.8395, + "step": 4050 + }, + { + "epoch": 0.12, + "learning_rate": 9.793756217192847e-06, + "loss": 0.9761, + "step": 4051 + }, + { + "epoch": 0.12, + "learning_rate": 9.793620960058662e-06, + "loss": 0.8413, + "step": 4052 + }, + { + "epoch": 0.12, + "learning_rate": 9.793485659522e-06, + "loss": 0.8265, + "step": 4053 + }, + { + "epoch": 0.12, + "learning_rate": 9.793350315584085e-06, + "loss": 0.8124, + "step": 4054 + }, + { + "epoch": 0.12, + "learning_rate": 9.793214928246142e-06, + "loss": 1.0514, + "step": 4055 + }, + { + "epoch": 0.12, + "learning_rate": 9.793079497509396e-06, + "loss": 0.7655, + "step": 4056 + }, + { + "epoch": 0.12, + "learning_rate": 9.792944023375078e-06, + "loss": 0.7514, + "step": 4057 + }, + { + "epoch": 0.12, + "learning_rate": 9.79280850584441e-06, + "loss": 0.772, + "step": 4058 + }, + { + "epoch": 0.12, + "learning_rate": 9.79267294491862e-06, + "loss": 0.8433, + "step": 4059 + }, + { + "epoch": 0.12, + "learning_rate": 9.792537340598935e-06, + "loss": 0.9025, + "step": 4060 + }, + { + "epoch": 0.12, + "learning_rate": 9.792401692886585e-06, + "loss": 0.9101, + "step": 4061 + }, + { + "epoch": 0.12, + "learning_rate": 9.792266001782796e-06, + "loss": 0.9214, + "step": 4062 + }, + { + "epoch": 0.12, + "learning_rate": 9.792130267288798e-06, + "loss": 0.9872, + "step": 4063 + }, + { + "epoch": 0.12, + "learning_rate": 9.791994489405817e-06, + "loss": 0.6546, + "step": 4064 + }, + { + "epoch": 0.12, + "learning_rate": 9.791858668135086e-06, + "loss": 0.8463, + "step": 4065 + }, + { + "epoch": 0.12, + "learning_rate": 9.791722803477834e-06, + "loss": 0.8119, + "step": 4066 + }, + { + "epoch": 0.12, + "learning_rate": 9.79158689543529e-06, + "loss": 1.109, + "step": 4067 + }, + { + "epoch": 0.12, + "learning_rate": 9.791450944008685e-06, + "loss": 0.87, + "step": 4068 + }, + { + "epoch": 0.12, + "learning_rate": 9.791314949199248e-06, + "loss": 0.6895, + "step": 4069 + }, + { + "epoch": 0.12, + "learning_rate": 9.791178911008214e-06, + "loss": 0.6305, + "step": 4070 + }, + { + "epoch": 0.12, + "learning_rate": 9.791042829436815e-06, + "loss": 0.756, + "step": 4071 + }, + { + "epoch": 0.12, + "learning_rate": 9.790906704486279e-06, + "loss": 0.7996, + "step": 4072 + }, + { + "epoch": 0.12, + "learning_rate": 9.790770536157841e-06, + "loss": 1.0237, + "step": 4073 + }, + { + "epoch": 0.12, + "learning_rate": 9.790634324452732e-06, + "loss": 0.6431, + "step": 4074 + }, + { + "epoch": 0.12, + "learning_rate": 9.79049806937219e-06, + "loss": 0.9183, + "step": 4075 + }, + { + "epoch": 0.12, + "learning_rate": 9.790361770917442e-06, + "loss": 0.9574, + "step": 4076 + }, + { + "epoch": 0.12, + "learning_rate": 9.790225429089728e-06, + "loss": 0.7853, + "step": 4077 + }, + { + "epoch": 0.12, + "learning_rate": 9.790089043890279e-06, + "loss": 0.9137, + "step": 4078 + }, + { + "epoch": 0.12, + "learning_rate": 9.78995261532033e-06, + "loss": 0.7441, + "step": 4079 + }, + { + "epoch": 0.12, + "learning_rate": 9.789816143381119e-06, + "loss": 0.8942, + "step": 4080 + }, + { + "epoch": 0.12, + "learning_rate": 9.78967962807388e-06, + "loss": 0.7465, + "step": 4081 + }, + { + "epoch": 0.12, + "learning_rate": 9.789543069399846e-06, + "loss": 0.8063, + "step": 4082 + }, + { + "epoch": 0.12, + "learning_rate": 9.789406467360259e-06, + "loss": 0.8008, + "step": 4083 + }, + { + "epoch": 0.12, + "learning_rate": 9.789269821956354e-06, + "loss": 0.9015, + "step": 4084 + }, + { + "epoch": 0.12, + "learning_rate": 9.789133133189364e-06, + "loss": 1.1791, + "step": 4085 + }, + { + "epoch": 0.12, + "learning_rate": 9.788996401060532e-06, + "loss": 0.8902, + "step": 4086 + }, + { + "epoch": 0.12, + "learning_rate": 9.788859625571092e-06, + "loss": 0.9066, + "step": 4087 + }, + { + "epoch": 0.12, + "learning_rate": 9.788722806722287e-06, + "loss": 0.6074, + "step": 4088 + }, + { + "epoch": 0.12, + "learning_rate": 9.788585944515352e-06, + "loss": 0.7862, + "step": 4089 + }, + { + "epoch": 0.12, + "learning_rate": 9.788449038951527e-06, + "loss": 0.5881, + "step": 4090 + }, + { + "epoch": 0.12, + "learning_rate": 9.788312090032052e-06, + "loss": 1.1896, + "step": 4091 + }, + { + "epoch": 0.12, + "learning_rate": 9.788175097758167e-06, + "loss": 0.764, + "step": 4092 + }, + { + "epoch": 0.12, + "learning_rate": 9.788038062131113e-06, + "loss": 1.082, + "step": 4093 + }, + { + "epoch": 0.12, + "learning_rate": 9.787900983152128e-06, + "loss": 0.791, + "step": 4094 + }, + { + "epoch": 0.12, + "learning_rate": 9.787763860822456e-06, + "loss": 0.8138, + "step": 4095 + }, + { + "epoch": 0.12, + "learning_rate": 9.787626695143337e-06, + "loss": 0.6407, + "step": 4096 + }, + { + "epoch": 0.12, + "learning_rate": 9.787489486116016e-06, + "loss": 1.0549, + "step": 4097 + }, + { + "epoch": 0.12, + "learning_rate": 9.78735223374173e-06, + "loss": 0.7375, + "step": 4098 + }, + { + "epoch": 0.12, + "learning_rate": 9.787214938021725e-06, + "loss": 0.7391, + "step": 4099 + }, + { + "epoch": 0.12, + "learning_rate": 9.787077598957245e-06, + "loss": 0.7668, + "step": 4100 + }, + { + "epoch": 0.12, + "learning_rate": 9.78694021654953e-06, + "loss": 0.6973, + "step": 4101 + }, + { + "epoch": 0.12, + "learning_rate": 9.786802790799827e-06, + "loss": 0.9178, + "step": 4102 + }, + { + "epoch": 0.12, + "learning_rate": 9.786665321709381e-06, + "loss": 0.7031, + "step": 4103 + }, + { + "epoch": 0.12, + "learning_rate": 9.786527809279434e-06, + "loss": 0.8097, + "step": 4104 + }, + { + "epoch": 0.12, + "learning_rate": 9.786390253511231e-06, + "loss": 0.9431, + "step": 4105 + }, + { + "epoch": 0.12, + "learning_rate": 9.78625265440602e-06, + "loss": 0.766, + "step": 4106 + }, + { + "epoch": 0.12, + "learning_rate": 9.786115011965046e-06, + "loss": 0.8285, + "step": 4107 + }, + { + "epoch": 0.12, + "learning_rate": 9.785977326189553e-06, + "loss": 0.6727, + "step": 4108 + }, + { + "epoch": 0.12, + "learning_rate": 9.785839597080789e-06, + "loss": 0.7648, + "step": 4109 + }, + { + "epoch": 0.12, + "learning_rate": 9.785701824640001e-06, + "loss": 0.7292, + "step": 4110 + }, + { + "epoch": 0.12, + "learning_rate": 9.785564008868438e-06, + "loss": 0.816, + "step": 4111 + }, + { + "epoch": 0.12, + "learning_rate": 9.785426149767347e-06, + "loss": 0.8055, + "step": 4112 + }, + { + "epoch": 0.12, + "learning_rate": 9.785288247337976e-06, + "loss": 0.8053, + "step": 4113 + }, + { + "epoch": 0.12, + "learning_rate": 9.785150301581572e-06, + "loss": 0.8151, + "step": 4114 + }, + { + "epoch": 0.12, + "learning_rate": 9.785012312499385e-06, + "loss": 1.0352, + "step": 4115 + }, + { + "epoch": 0.12, + "learning_rate": 9.784874280092666e-06, + "loss": 0.9056, + "step": 4116 + }, + { + "epoch": 0.12, + "learning_rate": 9.784736204362663e-06, + "loss": 0.6691, + "step": 4117 + }, + { + "epoch": 0.12, + "learning_rate": 9.784598085310626e-06, + "loss": 0.6775, + "step": 4118 + }, + { + "epoch": 0.12, + "learning_rate": 9.784459922937806e-06, + "loss": 0.59, + "step": 4119 + }, + { + "epoch": 0.12, + "learning_rate": 9.784321717245454e-06, + "loss": 0.627, + "step": 4120 + }, + { + "epoch": 0.12, + "learning_rate": 9.784183468234825e-06, + "loss": 0.8695, + "step": 4121 + }, + { + "epoch": 0.12, + "learning_rate": 9.784045175907164e-06, + "loss": 0.5097, + "step": 4122 + }, + { + "epoch": 0.12, + "learning_rate": 9.783906840263727e-06, + "loss": 0.5641, + "step": 4123 + }, + { + "epoch": 0.12, + "learning_rate": 9.783768461305766e-06, + "loss": 1.2206, + "step": 4124 + }, + { + "epoch": 0.12, + "learning_rate": 9.783630039034534e-06, + "loss": 0.5358, + "step": 4125 + }, + { + "epoch": 0.12, + "learning_rate": 9.783491573451284e-06, + "loss": 0.7393, + "step": 4126 + }, + { + "epoch": 0.12, + "learning_rate": 9.78335306455727e-06, + "loss": 0.7746, + "step": 4127 + }, + { + "epoch": 0.12, + "learning_rate": 9.783214512353745e-06, + "loss": 0.7065, + "step": 4128 + }, + { + "epoch": 0.12, + "learning_rate": 9.783075916841965e-06, + "loss": 0.6765, + "step": 4129 + }, + { + "epoch": 0.12, + "learning_rate": 9.782937278023187e-06, + "loss": 0.5175, + "step": 4130 + }, + { + "epoch": 0.12, + "learning_rate": 9.78279859589866e-06, + "loss": 0.9195, + "step": 4131 + }, + { + "epoch": 0.12, + "learning_rate": 9.782659870469642e-06, + "loss": 0.7393, + "step": 4132 + }, + { + "epoch": 0.12, + "learning_rate": 9.782521101737394e-06, + "loss": 0.903, + "step": 4133 + }, + { + "epoch": 0.12, + "learning_rate": 9.782382289703166e-06, + "loss": 0.5873, + "step": 4134 + }, + { + "epoch": 0.12, + "learning_rate": 9.78224343436822e-06, + "loss": 0.6462, + "step": 4135 + }, + { + "epoch": 0.12, + "learning_rate": 9.782104535733807e-06, + "loss": 0.7208, + "step": 4136 + }, + { + "epoch": 0.12, + "learning_rate": 9.781965593801192e-06, + "loss": 1.0134, + "step": 4137 + }, + { + "epoch": 0.12, + "learning_rate": 9.781826608571627e-06, + "loss": 0.865, + "step": 4138 + }, + { + "epoch": 0.12, + "learning_rate": 9.781687580046374e-06, + "loss": 0.6288, + "step": 4139 + }, + { + "epoch": 0.12, + "learning_rate": 9.781548508226691e-06, + "loss": 0.806, + "step": 4140 + }, + { + "epoch": 0.12, + "learning_rate": 9.781409393113836e-06, + "loss": 0.7187, + "step": 4141 + }, + { + "epoch": 0.12, + "learning_rate": 9.781270234709067e-06, + "loss": 1.1734, + "step": 4142 + }, + { + "epoch": 0.12, + "learning_rate": 9.78113103301365e-06, + "loss": 0.833, + "step": 4143 + }, + { + "epoch": 0.12, + "learning_rate": 9.78099178802884e-06, + "loss": 0.9986, + "step": 4144 + }, + { + "epoch": 0.12, + "learning_rate": 9.7808524997559e-06, + "loss": 0.8263, + "step": 4145 + }, + { + "epoch": 0.12, + "learning_rate": 9.78071316819609e-06, + "loss": 0.8755, + "step": 4146 + }, + { + "epoch": 0.12, + "learning_rate": 9.780573793350673e-06, + "loss": 0.5486, + "step": 4147 + }, + { + "epoch": 0.12, + "learning_rate": 9.780434375220908e-06, + "loss": 0.5299, + "step": 4148 + }, + { + "epoch": 0.12, + "learning_rate": 9.780294913808062e-06, + "loss": 0.7264, + "step": 4149 + }, + { + "epoch": 0.12, + "learning_rate": 9.780155409113395e-06, + "loss": 0.8622, + "step": 4150 + }, + { + "epoch": 0.12, + "learning_rate": 9.780015861138167e-06, + "loss": 0.7492, + "step": 4151 + }, + { + "epoch": 0.12, + "learning_rate": 9.779876269883647e-06, + "loss": 0.7266, + "step": 4152 + }, + { + "epoch": 0.12, + "learning_rate": 9.779736635351097e-06, + "loss": 0.8291, + "step": 4153 + }, + { + "epoch": 0.12, + "learning_rate": 9.77959695754178e-06, + "loss": 0.6155, + "step": 4154 + }, + { + "epoch": 0.12, + "learning_rate": 9.779457236456961e-06, + "loss": 0.619, + "step": 4155 + }, + { + "epoch": 0.12, + "learning_rate": 9.779317472097907e-06, + "loss": 0.7761, + "step": 4156 + }, + { + "epoch": 0.12, + "learning_rate": 9.77917766446588e-06, + "loss": 0.8901, + "step": 4157 + }, + { + "epoch": 0.12, + "learning_rate": 9.77903781356215e-06, + "loss": 1.012, + "step": 4158 + }, + { + "epoch": 0.12, + "learning_rate": 9.77889791938798e-06, + "loss": 0.8058, + "step": 4159 + }, + { + "epoch": 0.12, + "learning_rate": 9.778757981944638e-06, + "loss": 0.7784, + "step": 4160 + }, + { + "epoch": 0.12, + "learning_rate": 9.77861800123339e-06, + "loss": 0.8892, + "step": 4161 + }, + { + "epoch": 0.12, + "learning_rate": 9.778477977255505e-06, + "loss": 0.8746, + "step": 4162 + }, + { + "epoch": 0.12, + "learning_rate": 9.77833791001225e-06, + "loss": 0.8062, + "step": 4163 + }, + { + "epoch": 0.12, + "learning_rate": 9.778197799504893e-06, + "loss": 0.8782, + "step": 4164 + }, + { + "epoch": 0.12, + "learning_rate": 9.778057645734703e-06, + "loss": 0.8912, + "step": 4165 + }, + { + "epoch": 0.12, + "learning_rate": 9.777917448702947e-06, + "loss": 0.9145, + "step": 4166 + }, + { + "epoch": 0.12, + "learning_rate": 9.777777208410898e-06, + "loss": 0.4793, + "step": 4167 + }, + { + "epoch": 0.12, + "learning_rate": 9.777636924859823e-06, + "loss": 0.7261, + "step": 4168 + }, + { + "epoch": 0.12, + "learning_rate": 9.777496598050995e-06, + "loss": 0.7521, + "step": 4169 + }, + { + "epoch": 0.12, + "learning_rate": 9.77735622798568e-06, + "loss": 0.9093, + "step": 4170 + }, + { + "epoch": 0.12, + "learning_rate": 9.777215814665155e-06, + "loss": 0.9771, + "step": 4171 + }, + { + "epoch": 0.12, + "learning_rate": 9.777075358090685e-06, + "loss": 0.7232, + "step": 4172 + }, + { + "epoch": 0.12, + "learning_rate": 9.776934858263545e-06, + "loss": 0.9538, + "step": 4173 + }, + { + "epoch": 0.12, + "learning_rate": 9.776794315185008e-06, + "loss": 0.8347, + "step": 4174 + }, + { + "epoch": 0.12, + "learning_rate": 9.776653728856344e-06, + "loss": 0.8254, + "step": 4175 + }, + { + "epoch": 0.12, + "learning_rate": 9.776513099278827e-06, + "loss": 0.6453, + "step": 4176 + }, + { + "epoch": 0.12, + "learning_rate": 9.77637242645373e-06, + "loss": 0.7795, + "step": 4177 + }, + { + "epoch": 0.12, + "learning_rate": 9.77623171038233e-06, + "loss": 0.748, + "step": 4178 + }, + { + "epoch": 0.12, + "learning_rate": 9.776090951065895e-06, + "loss": 0.5613, + "step": 4179 + }, + { + "epoch": 0.12, + "learning_rate": 9.775950148505703e-06, + "loss": 0.8782, + "step": 4180 + }, + { + "epoch": 0.12, + "learning_rate": 9.775809302703031e-06, + "loss": 0.7286, + "step": 4181 + }, + { + "epoch": 0.12, + "learning_rate": 9.775668413659149e-06, + "loss": 0.6521, + "step": 4182 + }, + { + "epoch": 0.12, + "learning_rate": 9.775527481375338e-06, + "loss": 0.8186, + "step": 4183 + }, + { + "epoch": 0.12, + "learning_rate": 9.775386505852868e-06, + "loss": 0.7658, + "step": 4184 + }, + { + "epoch": 0.12, + "learning_rate": 9.77524548709302e-06, + "loss": 0.5352, + "step": 4185 + }, + { + "epoch": 0.12, + "learning_rate": 9.775104425097073e-06, + "loss": 0.7599, + "step": 4186 + }, + { + "epoch": 0.12, + "learning_rate": 9.774963319866298e-06, + "loss": 0.5995, + "step": 4187 + }, + { + "epoch": 0.12, + "learning_rate": 9.774822171401976e-06, + "loss": 0.7817, + "step": 4188 + }, + { + "epoch": 0.12, + "learning_rate": 9.774680979705385e-06, + "loss": 0.9654, + "step": 4189 + }, + { + "epoch": 0.12, + "learning_rate": 9.7745397447778e-06, + "loss": 0.7513, + "step": 4190 + }, + { + "epoch": 0.12, + "learning_rate": 9.774398466620505e-06, + "loss": 0.6206, + "step": 4191 + }, + { + "epoch": 0.12, + "learning_rate": 9.774257145234776e-06, + "loss": 0.9161, + "step": 4192 + }, + { + "epoch": 0.12, + "learning_rate": 9.774115780621894e-06, + "loss": 0.3911, + "step": 4193 + }, + { + "epoch": 0.12, + "learning_rate": 9.77397437278314e-06, + "loss": 0.7243, + "step": 4194 + }, + { + "epoch": 0.12, + "learning_rate": 9.77383292171979e-06, + "loss": 0.867, + "step": 4195 + }, + { + "epoch": 0.12, + "learning_rate": 9.773691427433127e-06, + "loss": 0.6709, + "step": 4196 + }, + { + "epoch": 0.12, + "learning_rate": 9.773549889924434e-06, + "loss": 0.6719, + "step": 4197 + }, + { + "epoch": 0.12, + "learning_rate": 9.77340830919499e-06, + "loss": 0.7183, + "step": 4198 + }, + { + "epoch": 0.12, + "learning_rate": 9.773266685246079e-06, + "loss": 0.9681, + "step": 4199 + }, + { + "epoch": 0.12, + "learning_rate": 9.773125018078981e-06, + "loss": 0.8541, + "step": 4200 + }, + { + "epoch": 0.12, + "learning_rate": 9.77298330769498e-06, + "loss": 0.6233, + "step": 4201 + }, + { + "epoch": 0.12, + "learning_rate": 9.772841554095359e-06, + "loss": 0.5608, + "step": 4202 + }, + { + "epoch": 0.12, + "learning_rate": 9.772699757281402e-06, + "loss": 0.7214, + "step": 4203 + }, + { + "epoch": 0.12, + "learning_rate": 9.77255791725439e-06, + "loss": 0.8942, + "step": 4204 + }, + { + "epoch": 0.12, + "learning_rate": 9.772416034015612e-06, + "loss": 0.8219, + "step": 4205 + }, + { + "epoch": 0.12, + "learning_rate": 9.77227410756635e-06, + "loss": 0.7502, + "step": 4206 + }, + { + "epoch": 0.12, + "learning_rate": 9.772132137907889e-06, + "loss": 0.7684, + "step": 4207 + }, + { + "epoch": 0.12, + "learning_rate": 9.771990125041514e-06, + "loss": 0.9304, + "step": 4208 + }, + { + "epoch": 0.12, + "learning_rate": 9.77184806896851e-06, + "loss": 0.7567, + "step": 4209 + }, + { + "epoch": 0.12, + "learning_rate": 9.771705969690169e-06, + "loss": 0.6203, + "step": 4210 + }, + { + "epoch": 0.12, + "learning_rate": 9.771563827207769e-06, + "loss": 0.9402, + "step": 4211 + }, + { + "epoch": 0.12, + "learning_rate": 9.771421641522603e-06, + "loss": 0.612, + "step": 4212 + }, + { + "epoch": 0.12, + "learning_rate": 9.771279412635956e-06, + "loss": 0.8304, + "step": 4213 + }, + { + "epoch": 0.12, + "learning_rate": 9.771137140549117e-06, + "loss": 0.9054, + "step": 4214 + }, + { + "epoch": 0.12, + "learning_rate": 9.770994825263373e-06, + "loss": 0.7214, + "step": 4215 + }, + { + "epoch": 0.12, + "learning_rate": 9.770852466780012e-06, + "loss": 0.733, + "step": 4216 + }, + { + "epoch": 0.12, + "learning_rate": 9.770710065100327e-06, + "loss": 0.8088, + "step": 4217 + }, + { + "epoch": 0.12, + "learning_rate": 9.770567620225602e-06, + "loss": 0.7536, + "step": 4218 + }, + { + "epoch": 0.12, + "learning_rate": 9.770425132157129e-06, + "loss": 0.6909, + "step": 4219 + }, + { + "epoch": 0.12, + "learning_rate": 9.770282600896199e-06, + "loss": 0.6038, + "step": 4220 + }, + { + "epoch": 0.12, + "learning_rate": 9.770140026444102e-06, + "loss": 0.7481, + "step": 4221 + }, + { + "epoch": 0.12, + "learning_rate": 9.769997408802127e-06, + "loss": 0.853, + "step": 4222 + }, + { + "epoch": 0.12, + "learning_rate": 9.769854747971569e-06, + "loss": 0.7493, + "step": 4223 + }, + { + "epoch": 0.12, + "learning_rate": 9.769712043953715e-06, + "loss": 0.6601, + "step": 4224 + }, + { + "epoch": 0.12, + "learning_rate": 9.76956929674986e-06, + "loss": 0.6541, + "step": 4225 + }, + { + "epoch": 0.12, + "learning_rate": 9.7694265063613e-06, + "loss": 0.8715, + "step": 4226 + }, + { + "epoch": 0.12, + "learning_rate": 9.76928367278932e-06, + "loss": 0.7861, + "step": 4227 + }, + { + "epoch": 0.12, + "learning_rate": 9.769140796035218e-06, + "loss": 0.6793, + "step": 4228 + }, + { + "epoch": 0.12, + "learning_rate": 9.768997876100288e-06, + "loss": 0.8613, + "step": 4229 + }, + { + "epoch": 0.12, + "learning_rate": 9.768854912985824e-06, + "loss": 0.9018, + "step": 4230 + }, + { + "epoch": 0.12, + "learning_rate": 9.768711906693115e-06, + "loss": 0.8629, + "step": 4231 + }, + { + "epoch": 0.12, + "learning_rate": 9.768568857223464e-06, + "loss": 0.8065, + "step": 4232 + }, + { + "epoch": 0.12, + "learning_rate": 9.76842576457816e-06, + "loss": 0.6916, + "step": 4233 + }, + { + "epoch": 0.12, + "learning_rate": 9.768282628758503e-06, + "loss": 0.8952, + "step": 4234 + }, + { + "epoch": 0.12, + "learning_rate": 9.768139449765786e-06, + "loss": 0.6508, + "step": 4235 + }, + { + "epoch": 0.12, + "learning_rate": 9.767996227601305e-06, + "loss": 0.6298, + "step": 4236 + }, + { + "epoch": 0.12, + "learning_rate": 9.76785296226636e-06, + "loss": 0.7887, + "step": 4237 + }, + { + "epoch": 0.12, + "learning_rate": 9.767709653762246e-06, + "loss": 0.9474, + "step": 4238 + }, + { + "epoch": 0.12, + "learning_rate": 9.767566302090258e-06, + "loss": 0.9363, + "step": 4239 + }, + { + "epoch": 0.12, + "learning_rate": 9.767422907251698e-06, + "loss": 0.8349, + "step": 4240 + }, + { + "epoch": 0.12, + "learning_rate": 9.767279469247865e-06, + "loss": 0.9459, + "step": 4241 + }, + { + "epoch": 0.12, + "learning_rate": 9.767135988080055e-06, + "loss": 0.8869, + "step": 4242 + }, + { + "epoch": 0.12, + "learning_rate": 9.766992463749566e-06, + "loss": 0.8239, + "step": 4243 + }, + { + "epoch": 0.12, + "learning_rate": 9.7668488962577e-06, + "loss": 0.7516, + "step": 4244 + }, + { + "epoch": 0.12, + "learning_rate": 9.766705285605757e-06, + "loss": 0.6948, + "step": 4245 + }, + { + "epoch": 0.12, + "learning_rate": 9.766561631795035e-06, + "loss": 0.8292, + "step": 4246 + }, + { + "epoch": 0.12, + "learning_rate": 9.766417934826837e-06, + "loss": 0.7004, + "step": 4247 + }, + { + "epoch": 0.12, + "learning_rate": 9.766274194702465e-06, + "loss": 1.0778, + "step": 4248 + }, + { + "epoch": 0.12, + "learning_rate": 9.766130411423216e-06, + "loss": 0.6817, + "step": 4249 + }, + { + "epoch": 0.12, + "learning_rate": 9.765986584990397e-06, + "loss": 0.4713, + "step": 4250 + }, + { + "epoch": 0.12, + "learning_rate": 9.765842715405305e-06, + "loss": 0.6507, + "step": 4251 + }, + { + "epoch": 0.12, + "learning_rate": 9.765698802669248e-06, + "loss": 0.8573, + "step": 4252 + }, + { + "epoch": 0.12, + "learning_rate": 9.765554846783524e-06, + "loss": 0.5377, + "step": 4253 + }, + { + "epoch": 0.12, + "learning_rate": 9.765410847749441e-06, + "loss": 0.8247, + "step": 4254 + }, + { + "epoch": 0.13, + "learning_rate": 9.765266805568299e-06, + "loss": 0.9083, + "step": 4255 + }, + { + "epoch": 0.13, + "learning_rate": 9.765122720241405e-06, + "loss": 0.7665, + "step": 4256 + }, + { + "epoch": 0.13, + "learning_rate": 9.764978591770062e-06, + "loss": 0.777, + "step": 4257 + }, + { + "epoch": 0.13, + "learning_rate": 9.764834420155574e-06, + "loss": 0.6386, + "step": 4258 + }, + { + "epoch": 0.13, + "learning_rate": 9.76469020539925e-06, + "loss": 0.7356, + "step": 4259 + }, + { + "epoch": 0.13, + "learning_rate": 9.76454594750239e-06, + "loss": 1.0068, + "step": 4260 + }, + { + "epoch": 0.13, + "learning_rate": 9.764401646466306e-06, + "loss": 0.5924, + "step": 4261 + }, + { + "epoch": 0.13, + "learning_rate": 9.764257302292304e-06, + "loss": 0.7214, + "step": 4262 + }, + { + "epoch": 0.13, + "learning_rate": 9.764112914981686e-06, + "loss": 0.8724, + "step": 4263 + }, + { + "epoch": 0.13, + "learning_rate": 9.763968484535764e-06, + "loss": 0.8886, + "step": 4264 + }, + { + "epoch": 0.13, + "learning_rate": 9.763824010955843e-06, + "loss": 0.6742, + "step": 4265 + }, + { + "epoch": 0.13, + "learning_rate": 9.763679494243232e-06, + "loss": 0.5271, + "step": 4266 + }, + { + "epoch": 0.13, + "learning_rate": 9.763534934399241e-06, + "loss": 1.0139, + "step": 4267 + }, + { + "epoch": 0.13, + "learning_rate": 9.763390331425178e-06, + "loss": 0.5923, + "step": 4268 + }, + { + "epoch": 0.13, + "learning_rate": 9.763245685322348e-06, + "loss": 0.8683, + "step": 4269 + }, + { + "epoch": 0.13, + "learning_rate": 9.763100996092069e-06, + "loss": 0.8382, + "step": 4270 + }, + { + "epoch": 0.13, + "learning_rate": 9.762956263735644e-06, + "loss": 0.9596, + "step": 4271 + }, + { + "epoch": 0.13, + "learning_rate": 9.762811488254386e-06, + "loss": 0.687, + "step": 4272 + }, + { + "epoch": 0.13, + "learning_rate": 9.762666669649607e-06, + "loss": 0.8304, + "step": 4273 + }, + { + "epoch": 0.13, + "learning_rate": 9.762521807922616e-06, + "loss": 0.888, + "step": 4274 + }, + { + "epoch": 0.13, + "learning_rate": 9.762376903074727e-06, + "loss": 0.9866, + "step": 4275 + }, + { + "epoch": 0.13, + "learning_rate": 9.762231955107249e-06, + "loss": 0.8301, + "step": 4276 + }, + { + "epoch": 0.13, + "learning_rate": 9.762086964021495e-06, + "loss": 0.7769, + "step": 4277 + }, + { + "epoch": 0.13, + "learning_rate": 9.76194192981878e-06, + "loss": 0.6533, + "step": 4278 + }, + { + "epoch": 0.13, + "learning_rate": 9.761796852500419e-06, + "loss": 0.7616, + "step": 4279 + }, + { + "epoch": 0.13, + "learning_rate": 9.761651732067718e-06, + "loss": 0.7883, + "step": 4280 + }, + { + "epoch": 0.13, + "learning_rate": 9.761506568521996e-06, + "loss": 0.7314, + "step": 4281 + }, + { + "epoch": 0.13, + "learning_rate": 9.76136136186457e-06, + "loss": 0.6767, + "step": 4282 + }, + { + "epoch": 0.13, + "learning_rate": 9.761216112096748e-06, + "loss": 0.6702, + "step": 4283 + }, + { + "epoch": 0.13, + "learning_rate": 9.761070819219851e-06, + "loss": 0.6945, + "step": 4284 + }, + { + "epoch": 0.13, + "learning_rate": 9.76092548323519e-06, + "loss": 0.951, + "step": 4285 + }, + { + "epoch": 0.13, + "learning_rate": 9.760780104144085e-06, + "loss": 0.7793, + "step": 4286 + }, + { + "epoch": 0.13, + "learning_rate": 9.76063468194785e-06, + "loss": 0.9197, + "step": 4287 + }, + { + "epoch": 0.13, + "learning_rate": 9.760489216647801e-06, + "loss": 0.8173, + "step": 4288 + }, + { + "epoch": 0.13, + "learning_rate": 9.760343708245257e-06, + "loss": 0.7363, + "step": 4289 + }, + { + "epoch": 0.13, + "learning_rate": 9.760198156741536e-06, + "loss": 0.6133, + "step": 4290 + }, + { + "epoch": 0.13, + "learning_rate": 9.76005256213795e-06, + "loss": 0.8387, + "step": 4291 + }, + { + "epoch": 0.13, + "learning_rate": 9.759906924435827e-06, + "loss": 0.8324, + "step": 4292 + }, + { + "epoch": 0.13, + "learning_rate": 9.759761243636477e-06, + "loss": 0.8402, + "step": 4293 + }, + { + "epoch": 0.13, + "learning_rate": 9.759615519741224e-06, + "loss": 0.6519, + "step": 4294 + }, + { + "epoch": 0.13, + "learning_rate": 9.759469752751384e-06, + "loss": 0.7457, + "step": 4295 + }, + { + "epoch": 0.13, + "learning_rate": 9.759323942668279e-06, + "loss": 0.9564, + "step": 4296 + }, + { + "epoch": 0.13, + "learning_rate": 9.75917808949323e-06, + "loss": 0.7488, + "step": 4297 + }, + { + "epoch": 0.13, + "learning_rate": 9.759032193227555e-06, + "loss": 0.7845, + "step": 4298 + }, + { + "epoch": 0.13, + "learning_rate": 9.758886253872577e-06, + "loss": 0.8607, + "step": 4299 + }, + { + "epoch": 0.13, + "learning_rate": 9.758740271429617e-06, + "loss": 0.6246, + "step": 4300 + }, + { + "epoch": 0.13, + "learning_rate": 9.758594245899996e-06, + "loss": 0.8141, + "step": 4301 + }, + { + "epoch": 0.13, + "learning_rate": 9.758448177285035e-06, + "loss": 0.8373, + "step": 4302 + }, + { + "epoch": 0.13, + "learning_rate": 9.75830206558606e-06, + "loss": 0.944, + "step": 4303 + }, + { + "epoch": 0.13, + "learning_rate": 9.758155910804392e-06, + "loss": 0.7993, + "step": 4304 + }, + { + "epoch": 0.13, + "learning_rate": 9.758009712941355e-06, + "loss": 0.6498, + "step": 4305 + }, + { + "epoch": 0.13, + "learning_rate": 9.757863471998272e-06, + "loss": 0.8053, + "step": 4306 + }, + { + "epoch": 0.13, + "learning_rate": 9.757717187976465e-06, + "loss": 0.6005, + "step": 4307 + }, + { + "epoch": 0.13, + "learning_rate": 9.757570860877263e-06, + "loss": 0.7857, + "step": 4308 + }, + { + "epoch": 0.13, + "learning_rate": 9.757424490701988e-06, + "loss": 0.823, + "step": 4309 + }, + { + "epoch": 0.13, + "learning_rate": 9.757278077451965e-06, + "loss": 0.548, + "step": 4310 + }, + { + "epoch": 0.13, + "learning_rate": 9.75713162112852e-06, + "loss": 0.9489, + "step": 4311 + }, + { + "epoch": 0.13, + "learning_rate": 9.75698512173298e-06, + "loss": 0.9449, + "step": 4312 + }, + { + "epoch": 0.13, + "learning_rate": 9.756838579266671e-06, + "loss": 0.8052, + "step": 4313 + }, + { + "epoch": 0.13, + "learning_rate": 9.756691993730922e-06, + "loss": 0.8606, + "step": 4314 + }, + { + "epoch": 0.13, + "learning_rate": 9.756545365127054e-06, + "loss": 0.8928, + "step": 4315 + }, + { + "epoch": 0.13, + "learning_rate": 9.756398693456402e-06, + "loss": 1.0765, + "step": 4316 + }, + { + "epoch": 0.13, + "learning_rate": 9.75625197872029e-06, + "loss": 0.8829, + "step": 4317 + }, + { + "epoch": 0.13, + "learning_rate": 9.756105220920045e-06, + "loss": 0.808, + "step": 4318 + }, + { + "epoch": 0.13, + "learning_rate": 9.755958420057001e-06, + "loss": 0.7617, + "step": 4319 + }, + { + "epoch": 0.13, + "learning_rate": 9.75581157613248e-06, + "loss": 0.843, + "step": 4320 + }, + { + "epoch": 0.13, + "learning_rate": 9.755664689147819e-06, + "loss": 0.8992, + "step": 4321 + }, + { + "epoch": 0.13, + "learning_rate": 9.755517759104342e-06, + "loss": 0.5918, + "step": 4322 + }, + { + "epoch": 0.13, + "learning_rate": 9.755370786003383e-06, + "loss": 0.7978, + "step": 4323 + }, + { + "epoch": 0.13, + "learning_rate": 9.755223769846271e-06, + "loss": 0.7283, + "step": 4324 + }, + { + "epoch": 0.13, + "learning_rate": 9.755076710634337e-06, + "loss": 0.6218, + "step": 4325 + }, + { + "epoch": 0.13, + "learning_rate": 9.754929608368915e-06, + "loss": 1.1707, + "step": 4326 + }, + { + "epoch": 0.13, + "learning_rate": 9.754782463051333e-06, + "loss": 0.885, + "step": 4327 + }, + { + "epoch": 0.13, + "learning_rate": 9.754635274682926e-06, + "loss": 0.7674, + "step": 4328 + }, + { + "epoch": 0.13, + "learning_rate": 9.754488043265027e-06, + "loss": 0.6403, + "step": 4329 + }, + { + "epoch": 0.13, + "learning_rate": 9.754340768798967e-06, + "loss": 0.8823, + "step": 4330 + }, + { + "epoch": 0.13, + "learning_rate": 9.754193451286081e-06, + "loss": 0.7953, + "step": 4331 + }, + { + "epoch": 0.13, + "learning_rate": 9.7540460907277e-06, + "loss": 0.6806, + "step": 4332 + }, + { + "epoch": 0.13, + "learning_rate": 9.753898687125163e-06, + "loss": 0.8297, + "step": 4333 + }, + { + "epoch": 0.13, + "learning_rate": 9.753751240479803e-06, + "loss": 0.7186, + "step": 4334 + }, + { + "epoch": 0.13, + "learning_rate": 9.753603750792953e-06, + "loss": 0.6757, + "step": 4335 + }, + { + "epoch": 0.13, + "learning_rate": 9.75345621806595e-06, + "loss": 0.9487, + "step": 4336 + }, + { + "epoch": 0.13, + "learning_rate": 9.753308642300128e-06, + "loss": 0.9951, + "step": 4337 + }, + { + "epoch": 0.13, + "learning_rate": 9.753161023496824e-06, + "loss": 0.8435, + "step": 4338 + }, + { + "epoch": 0.13, + "learning_rate": 9.753013361657378e-06, + "loss": 0.5108, + "step": 4339 + }, + { + "epoch": 0.13, + "learning_rate": 9.752865656783122e-06, + "loss": 0.8464, + "step": 4340 + }, + { + "epoch": 0.13, + "learning_rate": 9.752717908875398e-06, + "loss": 0.6778, + "step": 4341 + }, + { + "epoch": 0.13, + "learning_rate": 9.752570117935538e-06, + "loss": 0.6955, + "step": 4342 + }, + { + "epoch": 0.13, + "learning_rate": 9.752422283964885e-06, + "loss": 0.6983, + "step": 4343 + }, + { + "epoch": 0.13, + "learning_rate": 9.752274406964776e-06, + "loss": 0.6647, + "step": 4344 + }, + { + "epoch": 0.13, + "learning_rate": 9.752126486936548e-06, + "loss": 1.0976, + "step": 4345 + }, + { + "epoch": 0.13, + "learning_rate": 9.751978523881544e-06, + "loss": 0.8575, + "step": 4346 + }, + { + "epoch": 0.13, + "learning_rate": 9.751830517801103e-06, + "loss": 0.7157, + "step": 4347 + }, + { + "epoch": 0.13, + "learning_rate": 9.751682468696561e-06, + "loss": 0.885, + "step": 4348 + }, + { + "epoch": 0.13, + "learning_rate": 9.751534376569262e-06, + "loss": 0.7835, + "step": 4349 + }, + { + "epoch": 0.13, + "learning_rate": 9.751386241420548e-06, + "loss": 0.8679, + "step": 4350 + }, + { + "epoch": 0.13, + "learning_rate": 9.751238063251756e-06, + "loss": 0.6515, + "step": 4351 + }, + { + "epoch": 0.13, + "learning_rate": 9.75108984206423e-06, + "loss": 0.7684, + "step": 4352 + }, + { + "epoch": 0.13, + "learning_rate": 9.750941577859315e-06, + "loss": 0.6225, + "step": 4353 + }, + { + "epoch": 0.13, + "learning_rate": 9.750793270638347e-06, + "loss": 0.7856, + "step": 4354 + }, + { + "epoch": 0.13, + "learning_rate": 9.750644920402675e-06, + "loss": 0.5787, + "step": 4355 + }, + { + "epoch": 0.13, + "learning_rate": 9.750496527153638e-06, + "loss": 0.9216, + "step": 4356 + }, + { + "epoch": 0.13, + "learning_rate": 9.750348090892582e-06, + "loss": 0.7404, + "step": 4357 + }, + { + "epoch": 0.13, + "learning_rate": 9.75019961162085e-06, + "loss": 0.8873, + "step": 4358 + }, + { + "epoch": 0.13, + "learning_rate": 9.750051089339785e-06, + "loss": 0.7953, + "step": 4359 + }, + { + "epoch": 0.13, + "learning_rate": 9.749902524050735e-06, + "loss": 0.6063, + "step": 4360 + }, + { + "epoch": 0.13, + "learning_rate": 9.749753915755042e-06, + "loss": 0.652, + "step": 4361 + }, + { + "epoch": 0.13, + "learning_rate": 9.749605264454055e-06, + "loss": 0.6002, + "step": 4362 + }, + { + "epoch": 0.13, + "learning_rate": 9.749456570149114e-06, + "loss": 0.7903, + "step": 4363 + }, + { + "epoch": 0.13, + "learning_rate": 9.749307832841572e-06, + "loss": 1.0282, + "step": 4364 + }, + { + "epoch": 0.13, + "learning_rate": 9.749159052532771e-06, + "loss": 0.7169, + "step": 4365 + }, + { + "epoch": 0.13, + "learning_rate": 9.749010229224061e-06, + "loss": 0.7796, + "step": 4366 + }, + { + "epoch": 0.13, + "learning_rate": 9.748861362916788e-06, + "loss": 0.8056, + "step": 4367 + }, + { + "epoch": 0.13, + "learning_rate": 9.748712453612301e-06, + "loss": 0.6571, + "step": 4368 + }, + { + "epoch": 0.13, + "learning_rate": 9.748563501311948e-06, + "loss": 0.5554, + "step": 4369 + }, + { + "epoch": 0.13, + "learning_rate": 9.748414506017074e-06, + "loss": 0.8614, + "step": 4370 + }, + { + "epoch": 0.13, + "learning_rate": 9.748265467729034e-06, + "loss": 0.9398, + "step": 4371 + }, + { + "epoch": 0.13, + "learning_rate": 9.748116386449173e-06, + "loss": 0.7979, + "step": 4372 + }, + { + "epoch": 0.13, + "learning_rate": 9.747967262178844e-06, + "loss": 1.0168, + "step": 4373 + }, + { + "epoch": 0.13, + "learning_rate": 9.747818094919394e-06, + "loss": 0.7536, + "step": 4374 + }, + { + "epoch": 0.13, + "learning_rate": 9.747668884672175e-06, + "loss": 0.8105, + "step": 4375 + }, + { + "epoch": 0.13, + "learning_rate": 9.74751963143854e-06, + "loss": 0.7666, + "step": 4376 + }, + { + "epoch": 0.13, + "learning_rate": 9.747370335219837e-06, + "loss": 0.8643, + "step": 4377 + }, + { + "epoch": 0.13, + "learning_rate": 9.747220996017418e-06, + "loss": 0.8577, + "step": 4378 + }, + { + "epoch": 0.13, + "learning_rate": 9.74707161383264e-06, + "loss": 0.6735, + "step": 4379 + }, + { + "epoch": 0.13, + "learning_rate": 9.74692218866685e-06, + "loss": 0.8359, + "step": 4380 + }, + { + "epoch": 0.13, + "learning_rate": 9.746772720521404e-06, + "loss": 0.816, + "step": 4381 + }, + { + "epoch": 0.13, + "learning_rate": 9.746623209397653e-06, + "loss": 0.5758, + "step": 4382 + }, + { + "epoch": 0.13, + "learning_rate": 9.746473655296953e-06, + "loss": 0.5461, + "step": 4383 + }, + { + "epoch": 0.13, + "learning_rate": 9.746324058220655e-06, + "loss": 0.735, + "step": 4384 + }, + { + "epoch": 0.13, + "learning_rate": 9.746174418170117e-06, + "loss": 0.7603, + "step": 4385 + }, + { + "epoch": 0.13, + "learning_rate": 9.746024735146693e-06, + "loss": 0.8394, + "step": 4386 + }, + { + "epoch": 0.13, + "learning_rate": 9.745875009151738e-06, + "loss": 0.727, + "step": 4387 + }, + { + "epoch": 0.13, + "learning_rate": 9.745725240186605e-06, + "loss": 0.8794, + "step": 4388 + }, + { + "epoch": 0.13, + "learning_rate": 9.745575428252654e-06, + "loss": 0.5717, + "step": 4389 + }, + { + "epoch": 0.13, + "learning_rate": 9.745425573351239e-06, + "loss": 0.9186, + "step": 4390 + }, + { + "epoch": 0.13, + "learning_rate": 9.745275675483718e-06, + "loss": 0.8181, + "step": 4391 + }, + { + "epoch": 0.13, + "learning_rate": 9.745125734651448e-06, + "loss": 0.6487, + "step": 4392 + }, + { + "epoch": 0.13, + "learning_rate": 9.744975750855786e-06, + "loss": 0.8842, + "step": 4393 + }, + { + "epoch": 0.13, + "learning_rate": 9.74482572409809e-06, + "loss": 0.7667, + "step": 4394 + }, + { + "epoch": 0.13, + "learning_rate": 9.744675654379718e-06, + "loss": 0.5576, + "step": 4395 + }, + { + "epoch": 0.13, + "learning_rate": 9.744525541702032e-06, + "loss": 0.6932, + "step": 4396 + }, + { + "epoch": 0.13, + "learning_rate": 9.744375386066387e-06, + "loss": 0.8888, + "step": 4397 + }, + { + "epoch": 0.13, + "learning_rate": 9.744225187474145e-06, + "loss": 0.7951, + "step": 4398 + }, + { + "epoch": 0.13, + "learning_rate": 9.744074945926666e-06, + "loss": 0.8946, + "step": 4399 + }, + { + "epoch": 0.13, + "learning_rate": 9.743924661425307e-06, + "loss": 0.7021, + "step": 4400 + }, + { + "epoch": 0.13, + "learning_rate": 9.743774333971432e-06, + "loss": 0.8724, + "step": 4401 + }, + { + "epoch": 0.13, + "learning_rate": 9.743623963566402e-06, + "loss": 0.6368, + "step": 4402 + }, + { + "epoch": 0.13, + "learning_rate": 9.743473550211578e-06, + "loss": 0.7774, + "step": 4403 + }, + { + "epoch": 0.13, + "learning_rate": 9.74332309390832e-06, + "loss": 0.8422, + "step": 4404 + }, + { + "epoch": 0.13, + "learning_rate": 9.743172594657992e-06, + "loss": 0.8057, + "step": 4405 + }, + { + "epoch": 0.13, + "learning_rate": 9.74302205246196e-06, + "loss": 0.9463, + "step": 4406 + }, + { + "epoch": 0.13, + "learning_rate": 9.742871467321579e-06, + "loss": 0.8409, + "step": 4407 + }, + { + "epoch": 0.13, + "learning_rate": 9.74272083923822e-06, + "loss": 0.6847, + "step": 4408 + }, + { + "epoch": 0.13, + "learning_rate": 9.742570168213244e-06, + "loss": 0.9577, + "step": 4409 + }, + { + "epoch": 0.13, + "learning_rate": 9.742419454248014e-06, + "loss": 1.0807, + "step": 4410 + }, + { + "epoch": 0.13, + "learning_rate": 9.742268697343895e-06, + "loss": 0.7318, + "step": 4411 + }, + { + "epoch": 0.13, + "learning_rate": 9.742117897502253e-06, + "loss": 0.8647, + "step": 4412 + }, + { + "epoch": 0.13, + "learning_rate": 9.741967054724453e-06, + "loss": 0.8272, + "step": 4413 + }, + { + "epoch": 0.13, + "learning_rate": 9.741816169011861e-06, + "loss": 1.0336, + "step": 4414 + }, + { + "epoch": 0.13, + "learning_rate": 9.741665240365842e-06, + "loss": 0.8738, + "step": 4415 + }, + { + "epoch": 0.13, + "learning_rate": 9.741514268787766e-06, + "loss": 0.9034, + "step": 4416 + }, + { + "epoch": 0.13, + "learning_rate": 9.741363254278994e-06, + "loss": 0.4367, + "step": 4417 + }, + { + "epoch": 0.13, + "learning_rate": 9.7412121968409e-06, + "loss": 0.5518, + "step": 4418 + }, + { + "epoch": 0.13, + "learning_rate": 9.741061096474846e-06, + "loss": 0.6839, + "step": 4419 + }, + { + "epoch": 0.13, + "learning_rate": 9.740909953182205e-06, + "loss": 1.0415, + "step": 4420 + }, + { + "epoch": 0.13, + "learning_rate": 9.74075876696434e-06, + "loss": 1.1445, + "step": 4421 + }, + { + "epoch": 0.13, + "learning_rate": 9.740607537822623e-06, + "loss": 0.9027, + "step": 4422 + }, + { + "epoch": 0.13, + "learning_rate": 9.740456265758426e-06, + "loss": 0.9251, + "step": 4423 + }, + { + "epoch": 0.13, + "learning_rate": 9.740304950773114e-06, + "loss": 0.8257, + "step": 4424 + }, + { + "epoch": 0.13, + "learning_rate": 9.740153592868059e-06, + "loss": 0.9545, + "step": 4425 + }, + { + "epoch": 0.13, + "learning_rate": 9.740002192044631e-06, + "loss": 0.7663, + "step": 4426 + }, + { + "epoch": 0.13, + "learning_rate": 9.739850748304201e-06, + "loss": 0.7843, + "step": 4427 + }, + { + "epoch": 0.13, + "learning_rate": 9.73969926164814e-06, + "loss": 0.9287, + "step": 4428 + }, + { + "epoch": 0.13, + "learning_rate": 9.73954773207782e-06, + "loss": 0.659, + "step": 4429 + }, + { + "epoch": 0.13, + "learning_rate": 9.739396159594613e-06, + "loss": 0.6721, + "step": 4430 + }, + { + "epoch": 0.13, + "learning_rate": 9.739244544199894e-06, + "loss": 0.7036, + "step": 4431 + }, + { + "epoch": 0.13, + "learning_rate": 9.739092885895028e-06, + "loss": 0.7221, + "step": 4432 + }, + { + "epoch": 0.13, + "learning_rate": 9.738941184681397e-06, + "loss": 0.6154, + "step": 4433 + }, + { + "epoch": 0.13, + "learning_rate": 9.738789440560368e-06, + "loss": 0.7996, + "step": 4434 + }, + { + "epoch": 0.13, + "learning_rate": 9.738637653533319e-06, + "loss": 1.0325, + "step": 4435 + }, + { + "epoch": 0.13, + "learning_rate": 9.738485823601623e-06, + "loss": 0.891, + "step": 4436 + }, + { + "epoch": 0.13, + "learning_rate": 9.738333950766653e-06, + "loss": 0.6517, + "step": 4437 + }, + { + "epoch": 0.13, + "learning_rate": 9.738182035029786e-06, + "loss": 0.9434, + "step": 4438 + }, + { + "epoch": 0.13, + "learning_rate": 9.7380300763924e-06, + "loss": 0.7042, + "step": 4439 + }, + { + "epoch": 0.13, + "learning_rate": 9.737878074855864e-06, + "loss": 0.7622, + "step": 4440 + }, + { + "epoch": 0.13, + "learning_rate": 9.737726030421562e-06, + "loss": 0.7407, + "step": 4441 + }, + { + "epoch": 0.13, + "learning_rate": 9.737573943090864e-06, + "loss": 0.7308, + "step": 4442 + }, + { + "epoch": 0.13, + "learning_rate": 9.737421812865151e-06, + "loss": 0.8914, + "step": 4443 + }, + { + "epoch": 0.13, + "learning_rate": 9.737269639745799e-06, + "loss": 0.9004, + "step": 4444 + }, + { + "epoch": 0.13, + "learning_rate": 9.737117423734187e-06, + "loss": 0.5309, + "step": 4445 + }, + { + "epoch": 0.13, + "learning_rate": 9.736965164831693e-06, + "loss": 0.9669, + "step": 4446 + }, + { + "epoch": 0.13, + "learning_rate": 9.736812863039692e-06, + "loss": 0.5339, + "step": 4447 + }, + { + "epoch": 0.13, + "learning_rate": 9.73666051835957e-06, + "loss": 0.7143, + "step": 4448 + }, + { + "epoch": 0.13, + "learning_rate": 9.7365081307927e-06, + "loss": 0.8442, + "step": 4449 + }, + { + "epoch": 0.13, + "learning_rate": 9.736355700340464e-06, + "loss": 1.1028, + "step": 4450 + }, + { + "epoch": 0.13, + "learning_rate": 9.736203227004242e-06, + "loss": 0.6638, + "step": 4451 + }, + { + "epoch": 0.13, + "learning_rate": 9.736050710785414e-06, + "loss": 0.7615, + "step": 4452 + }, + { + "epoch": 0.13, + "learning_rate": 9.735898151685363e-06, + "loss": 0.6796, + "step": 4453 + }, + { + "epoch": 0.13, + "learning_rate": 9.735745549705469e-06, + "loss": 0.6621, + "step": 4454 + }, + { + "epoch": 0.13, + "learning_rate": 9.735592904847114e-06, + "loss": 0.9552, + "step": 4455 + }, + { + "epoch": 0.13, + "learning_rate": 9.735440217111678e-06, + "loss": 0.6196, + "step": 4456 + }, + { + "epoch": 0.13, + "learning_rate": 9.735287486500547e-06, + "loss": 0.9829, + "step": 4457 + }, + { + "epoch": 0.13, + "learning_rate": 9.7351347130151e-06, + "loss": 0.7143, + "step": 4458 + }, + { + "epoch": 0.13, + "learning_rate": 9.734981896656724e-06, + "loss": 0.8574, + "step": 4459 + }, + { + "epoch": 0.13, + "learning_rate": 9.734829037426798e-06, + "loss": 0.9895, + "step": 4460 + }, + { + "epoch": 0.13, + "learning_rate": 9.734676135326713e-06, + "loss": 0.8563, + "step": 4461 + }, + { + "epoch": 0.13, + "learning_rate": 9.734523190357847e-06, + "loss": 0.7613, + "step": 4462 + }, + { + "epoch": 0.13, + "learning_rate": 9.734370202521587e-06, + "loss": 0.5433, + "step": 4463 + }, + { + "epoch": 0.13, + "learning_rate": 9.73421717181932e-06, + "loss": 0.6967, + "step": 4464 + }, + { + "epoch": 0.13, + "learning_rate": 9.734064098252427e-06, + "loss": 0.5927, + "step": 4465 + }, + { + "epoch": 0.13, + "learning_rate": 9.733910981822299e-06, + "loss": 0.8193, + "step": 4466 + }, + { + "epoch": 0.13, + "learning_rate": 9.733757822530321e-06, + "loss": 0.6936, + "step": 4467 + }, + { + "epoch": 0.13, + "learning_rate": 9.733604620377876e-06, + "loss": 0.7265, + "step": 4468 + }, + { + "epoch": 0.13, + "learning_rate": 9.733451375366356e-06, + "loss": 0.7685, + "step": 4469 + }, + { + "epoch": 0.13, + "learning_rate": 9.733298087497147e-06, + "loss": 0.6894, + "step": 4470 + }, + { + "epoch": 0.13, + "learning_rate": 9.733144756771634e-06, + "loss": 0.8238, + "step": 4471 + }, + { + "epoch": 0.13, + "learning_rate": 9.73299138319121e-06, + "loss": 0.7211, + "step": 4472 + }, + { + "epoch": 0.13, + "learning_rate": 9.732837966757262e-06, + "loss": 0.7314, + "step": 4473 + }, + { + "epoch": 0.13, + "learning_rate": 9.732684507471178e-06, + "loss": 0.7044, + "step": 4474 + }, + { + "epoch": 0.13, + "learning_rate": 9.732531005334348e-06, + "loss": 0.8621, + "step": 4475 + }, + { + "epoch": 0.13, + "learning_rate": 9.732377460348159e-06, + "loss": 0.8658, + "step": 4476 + }, + { + "epoch": 0.13, + "learning_rate": 9.732223872514007e-06, + "loss": 1.0078, + "step": 4477 + }, + { + "epoch": 0.13, + "learning_rate": 9.732070241833277e-06, + "loss": 0.5957, + "step": 4478 + }, + { + "epoch": 0.13, + "learning_rate": 9.731916568307365e-06, + "loss": 0.6261, + "step": 4479 + }, + { + "epoch": 0.13, + "learning_rate": 9.731762851937661e-06, + "loss": 0.8238, + "step": 4480 + }, + { + "epoch": 0.13, + "learning_rate": 9.731609092725554e-06, + "loss": 0.8135, + "step": 4481 + }, + { + "epoch": 0.13, + "learning_rate": 9.731455290672438e-06, + "loss": 0.7449, + "step": 4482 + }, + { + "epoch": 0.13, + "learning_rate": 9.731301445779707e-06, + "loss": 0.6008, + "step": 4483 + }, + { + "epoch": 0.13, + "learning_rate": 9.73114755804875e-06, + "loss": 0.9308, + "step": 4484 + }, + { + "epoch": 0.13, + "learning_rate": 9.730993627480965e-06, + "loss": 0.7591, + "step": 4485 + }, + { + "epoch": 0.13, + "learning_rate": 9.730839654077743e-06, + "loss": 0.7228, + "step": 4486 + }, + { + "epoch": 0.13, + "learning_rate": 9.730685637840479e-06, + "loss": 0.7941, + "step": 4487 + }, + { + "epoch": 0.13, + "learning_rate": 9.730531578770565e-06, + "loss": 0.6897, + "step": 4488 + }, + { + "epoch": 0.13, + "learning_rate": 9.7303774768694e-06, + "loss": 0.857, + "step": 4489 + }, + { + "epoch": 0.13, + "learning_rate": 9.730223332138375e-06, + "loss": 0.8242, + "step": 4490 + }, + { + "epoch": 0.13, + "learning_rate": 9.73006914457889e-06, + "loss": 0.6405, + "step": 4491 + }, + { + "epoch": 0.13, + "learning_rate": 9.72991491419234e-06, + "loss": 0.7643, + "step": 4492 + }, + { + "epoch": 0.13, + "learning_rate": 9.72976064098012e-06, + "loss": 1.0558, + "step": 4493 + }, + { + "epoch": 0.13, + "learning_rate": 9.729606324943625e-06, + "loss": 0.7631, + "step": 4494 + }, + { + "epoch": 0.13, + "learning_rate": 9.729451966084256e-06, + "loss": 0.8705, + "step": 4495 + }, + { + "epoch": 0.13, + "learning_rate": 9.729297564403408e-06, + "loss": 0.608, + "step": 4496 + }, + { + "epoch": 0.13, + "learning_rate": 9.729143119902481e-06, + "loss": 0.6835, + "step": 4497 + }, + { + "epoch": 0.13, + "learning_rate": 9.728988632582874e-06, + "loss": 0.7971, + "step": 4498 + }, + { + "epoch": 0.13, + "learning_rate": 9.728834102445983e-06, + "loss": 0.9949, + "step": 4499 + }, + { + "epoch": 0.13, + "learning_rate": 9.728679529493207e-06, + "loss": 0.8203, + "step": 4500 + }, + { + "epoch": 0.13, + "learning_rate": 9.728524913725947e-06, + "loss": 0.8262, + "step": 4501 + }, + { + "epoch": 0.13, + "learning_rate": 9.728370255145605e-06, + "loss": 0.6767, + "step": 4502 + }, + { + "epoch": 0.13, + "learning_rate": 9.728215553753577e-06, + "loss": 0.9277, + "step": 4503 + }, + { + "epoch": 0.13, + "learning_rate": 9.728060809551268e-06, + "loss": 0.6818, + "step": 4504 + }, + { + "epoch": 0.13, + "learning_rate": 9.727906022540074e-06, + "loss": 1.0477, + "step": 4505 + }, + { + "epoch": 0.13, + "learning_rate": 9.727751192721401e-06, + "loss": 0.9225, + "step": 4506 + }, + { + "epoch": 0.13, + "learning_rate": 9.72759632009665e-06, + "loss": 0.8087, + "step": 4507 + }, + { + "epoch": 0.13, + "learning_rate": 9.727441404667222e-06, + "loss": 0.4891, + "step": 4508 + }, + { + "epoch": 0.13, + "learning_rate": 9.72728644643452e-06, + "loss": 0.8921, + "step": 4509 + }, + { + "epoch": 0.13, + "learning_rate": 9.727131445399946e-06, + "loss": 0.6733, + "step": 4510 + }, + { + "epoch": 0.13, + "learning_rate": 9.726976401564906e-06, + "loss": 0.695, + "step": 4511 + }, + { + "epoch": 0.13, + "learning_rate": 9.726821314930803e-06, + "loss": 0.5317, + "step": 4512 + }, + { + "epoch": 0.13, + "learning_rate": 9.726666185499038e-06, + "loss": 0.7487, + "step": 4513 + }, + { + "epoch": 0.13, + "learning_rate": 9.72651101327102e-06, + "loss": 0.6127, + "step": 4514 + }, + { + "epoch": 0.13, + "learning_rate": 9.726355798248152e-06, + "loss": 1.0709, + "step": 4515 + }, + { + "epoch": 0.13, + "learning_rate": 9.726200540431839e-06, + "loss": 0.807, + "step": 4516 + }, + { + "epoch": 0.13, + "learning_rate": 9.726045239823487e-06, + "loss": 0.9277, + "step": 4517 + }, + { + "epoch": 0.13, + "learning_rate": 9.725889896424503e-06, + "loss": 0.4944, + "step": 4518 + }, + { + "epoch": 0.13, + "learning_rate": 9.725734510236292e-06, + "loss": 0.7891, + "step": 4519 + }, + { + "epoch": 0.13, + "learning_rate": 9.725579081260263e-06, + "loss": 0.9432, + "step": 4520 + }, + { + "epoch": 0.13, + "learning_rate": 9.72542360949782e-06, + "loss": 0.7428, + "step": 4521 + }, + { + "epoch": 0.13, + "learning_rate": 9.725268094950375e-06, + "loss": 0.7654, + "step": 4522 + }, + { + "epoch": 0.13, + "learning_rate": 9.725112537619332e-06, + "loss": 0.8974, + "step": 4523 + }, + { + "epoch": 0.13, + "learning_rate": 9.724956937506102e-06, + "loss": 0.8346, + "step": 4524 + }, + { + "epoch": 0.13, + "learning_rate": 9.724801294612093e-06, + "loss": 0.5143, + "step": 4525 + }, + { + "epoch": 0.13, + "learning_rate": 9.724645608938714e-06, + "loss": 0.9601, + "step": 4526 + }, + { + "epoch": 0.13, + "learning_rate": 9.724489880487376e-06, + "loss": 0.8776, + "step": 4527 + }, + { + "epoch": 0.13, + "learning_rate": 9.724334109259485e-06, + "loss": 0.8854, + "step": 4528 + }, + { + "epoch": 0.13, + "learning_rate": 9.724178295256457e-06, + "loss": 0.8007, + "step": 4529 + }, + { + "epoch": 0.13, + "learning_rate": 9.7240224384797e-06, + "loss": 0.7995, + "step": 4530 + }, + { + "epoch": 0.13, + "learning_rate": 9.723866538930624e-06, + "loss": 0.6336, + "step": 4531 + }, + { + "epoch": 0.13, + "learning_rate": 9.72371059661064e-06, + "loss": 1.118, + "step": 4532 + }, + { + "epoch": 0.13, + "learning_rate": 9.723554611521164e-06, + "loss": 0.8839, + "step": 4533 + }, + { + "epoch": 0.13, + "learning_rate": 9.723398583663606e-06, + "loss": 0.6331, + "step": 4534 + }, + { + "epoch": 0.13, + "learning_rate": 9.72324251303938e-06, + "loss": 0.7465, + "step": 4535 + }, + { + "epoch": 0.13, + "learning_rate": 9.723086399649894e-06, + "loss": 0.7438, + "step": 4536 + }, + { + "epoch": 0.13, + "learning_rate": 9.722930243496568e-06, + "loss": 0.7641, + "step": 4537 + }, + { + "epoch": 0.13, + "learning_rate": 9.722774044580814e-06, + "loss": 0.6322, + "step": 4538 + }, + { + "epoch": 0.13, + "learning_rate": 9.722617802904042e-06, + "loss": 0.742, + "step": 4539 + }, + { + "epoch": 0.13, + "learning_rate": 9.722461518467675e-06, + "loss": 0.7114, + "step": 4540 + }, + { + "epoch": 0.13, + "learning_rate": 9.722305191273118e-06, + "loss": 0.5794, + "step": 4541 + }, + { + "epoch": 0.13, + "learning_rate": 9.722148821321795e-06, + "loss": 1.0167, + "step": 4542 + }, + { + "epoch": 0.13, + "learning_rate": 9.721992408615117e-06, + "loss": 0.816, + "step": 4543 + }, + { + "epoch": 0.13, + "learning_rate": 9.721835953154501e-06, + "loss": 0.6288, + "step": 4544 + }, + { + "epoch": 0.13, + "learning_rate": 9.721679454941363e-06, + "loss": 0.7236, + "step": 4545 + }, + { + "epoch": 0.13, + "learning_rate": 9.721522913977124e-06, + "loss": 0.7693, + "step": 4546 + }, + { + "epoch": 0.13, + "learning_rate": 9.721366330263198e-06, + "loss": 0.7758, + "step": 4547 + }, + { + "epoch": 0.13, + "learning_rate": 9.721209703801003e-06, + "loss": 0.9753, + "step": 4548 + }, + { + "epoch": 0.13, + "learning_rate": 9.721053034591957e-06, + "loss": 0.741, + "step": 4549 + }, + { + "epoch": 0.13, + "learning_rate": 9.720896322637477e-06, + "loss": 0.8628, + "step": 4550 + }, + { + "epoch": 0.13, + "learning_rate": 9.720739567938984e-06, + "loss": 0.8374, + "step": 4551 + }, + { + "epoch": 0.13, + "learning_rate": 9.7205827704979e-06, + "loss": 1.1031, + "step": 4552 + }, + { + "epoch": 0.13, + "learning_rate": 9.720425930315638e-06, + "loss": 1.0499, + "step": 4553 + }, + { + "epoch": 0.13, + "learning_rate": 9.720269047393624e-06, + "loss": 0.829, + "step": 4554 + }, + { + "epoch": 0.13, + "learning_rate": 9.720112121733276e-06, + "loss": 1.0505, + "step": 4555 + }, + { + "epoch": 0.13, + "learning_rate": 9.719955153336017e-06, + "loss": 0.7943, + "step": 4556 + }, + { + "epoch": 0.13, + "learning_rate": 9.719798142203263e-06, + "loss": 0.7527, + "step": 4557 + }, + { + "epoch": 0.13, + "learning_rate": 9.71964108833644e-06, + "loss": 0.6001, + "step": 4558 + }, + { + "epoch": 0.13, + "learning_rate": 9.719483991736969e-06, + "loss": 0.7161, + "step": 4559 + }, + { + "epoch": 0.13, + "learning_rate": 9.719326852406272e-06, + "loss": 0.8045, + "step": 4560 + }, + { + "epoch": 0.13, + "learning_rate": 9.719169670345771e-06, + "loss": 1.0415, + "step": 4561 + }, + { + "epoch": 0.13, + "learning_rate": 9.719012445556892e-06, + "loss": 0.7513, + "step": 4562 + }, + { + "epoch": 0.13, + "learning_rate": 9.718855178041055e-06, + "loss": 0.7728, + "step": 4563 + }, + { + "epoch": 0.13, + "learning_rate": 9.718697867799687e-06, + "loss": 0.827, + "step": 4564 + }, + { + "epoch": 0.13, + "learning_rate": 9.718540514834211e-06, + "loss": 0.8367, + "step": 4565 + }, + { + "epoch": 0.13, + "learning_rate": 9.718383119146052e-06, + "loss": 0.8271, + "step": 4566 + }, + { + "epoch": 0.13, + "learning_rate": 9.718225680736634e-06, + "loss": 0.9165, + "step": 4567 + }, + { + "epoch": 0.13, + "learning_rate": 9.718068199607385e-06, + "loss": 0.8969, + "step": 4568 + }, + { + "epoch": 0.13, + "learning_rate": 9.717910675759727e-06, + "loss": 0.7519, + "step": 4569 + }, + { + "epoch": 0.13, + "learning_rate": 9.717753109195088e-06, + "loss": 0.6998, + "step": 4570 + }, + { + "epoch": 0.13, + "learning_rate": 9.717595499914896e-06, + "loss": 0.7988, + "step": 4571 + }, + { + "epoch": 0.13, + "learning_rate": 9.717437847920578e-06, + "loss": 0.9177, + "step": 4572 + }, + { + "epoch": 0.13, + "learning_rate": 9.71728015321356e-06, + "loss": 0.7008, + "step": 4573 + }, + { + "epoch": 0.13, + "learning_rate": 9.71712241579527e-06, + "loss": 0.6882, + "step": 4574 + }, + { + "epoch": 0.13, + "learning_rate": 9.716964635667136e-06, + "loss": 0.6823, + "step": 4575 + }, + { + "epoch": 0.13, + "learning_rate": 9.716806812830588e-06, + "loss": 0.9242, + "step": 4576 + }, + { + "epoch": 0.13, + "learning_rate": 9.716648947287053e-06, + "loss": 0.7789, + "step": 4577 + }, + { + "epoch": 0.13, + "learning_rate": 9.716491039037963e-06, + "loss": 0.6508, + "step": 4578 + }, + { + "epoch": 0.13, + "learning_rate": 9.716333088084744e-06, + "loss": 0.8246, + "step": 4579 + }, + { + "epoch": 0.13, + "learning_rate": 9.716175094428829e-06, + "loss": 0.7809, + "step": 4580 + }, + { + "epoch": 0.13, + "learning_rate": 9.716017058071648e-06, + "loss": 1.0281, + "step": 4581 + }, + { + "epoch": 0.13, + "learning_rate": 9.715858979014632e-06, + "loss": 0.616, + "step": 4582 + }, + { + "epoch": 0.13, + "learning_rate": 9.71570085725921e-06, + "loss": 0.8004, + "step": 4583 + }, + { + "epoch": 0.13, + "learning_rate": 9.715542692806818e-06, + "loss": 0.7807, + "step": 4584 + }, + { + "epoch": 0.13, + "learning_rate": 9.715384485658885e-06, + "loss": 0.8684, + "step": 4585 + }, + { + "epoch": 0.13, + "learning_rate": 9.715226235816843e-06, + "loss": 0.7942, + "step": 4586 + }, + { + "epoch": 0.13, + "learning_rate": 9.715067943282129e-06, + "loss": 0.4956, + "step": 4587 + }, + { + "epoch": 0.13, + "learning_rate": 9.71490960805617e-06, + "loss": 0.702, + "step": 4588 + }, + { + "epoch": 0.13, + "learning_rate": 9.714751230140403e-06, + "loss": 0.9136, + "step": 4589 + }, + { + "epoch": 0.13, + "learning_rate": 9.714592809536262e-06, + "loss": 0.7541, + "step": 4590 + }, + { + "epoch": 0.13, + "learning_rate": 9.714434346245183e-06, + "loss": 0.736, + "step": 4591 + }, + { + "epoch": 0.13, + "learning_rate": 9.714275840268596e-06, + "loss": 0.7031, + "step": 4592 + }, + { + "epoch": 0.13, + "learning_rate": 9.71411729160794e-06, + "loss": 0.504, + "step": 4593 + }, + { + "epoch": 0.13, + "learning_rate": 9.713958700264649e-06, + "loss": 0.7262, + "step": 4594 + }, + { + "epoch": 0.13, + "learning_rate": 9.71380006624016e-06, + "loss": 0.6862, + "step": 4595 + }, + { + "epoch": 0.14, + "learning_rate": 9.71364138953591e-06, + "loss": 0.8328, + "step": 4596 + }, + { + "epoch": 0.14, + "learning_rate": 9.713482670153334e-06, + "loss": 0.9147, + "step": 4597 + }, + { + "epoch": 0.14, + "learning_rate": 9.713323908093869e-06, + "loss": 0.7646, + "step": 4598 + }, + { + "epoch": 0.14, + "learning_rate": 9.713165103358953e-06, + "loss": 0.6667, + "step": 4599 + }, + { + "epoch": 0.14, + "learning_rate": 9.713006255950024e-06, + "loss": 0.9361, + "step": 4600 + }, + { + "epoch": 0.14, + "learning_rate": 9.712847365868519e-06, + "loss": 0.6005, + "step": 4601 + }, + { + "epoch": 0.14, + "learning_rate": 9.712688433115878e-06, + "loss": 0.7317, + "step": 4602 + }, + { + "epoch": 0.14, + "learning_rate": 9.71252945769354e-06, + "loss": 0.7664, + "step": 4603 + }, + { + "epoch": 0.14, + "learning_rate": 9.712370439602946e-06, + "loss": 0.8963, + "step": 4604 + }, + { + "epoch": 0.14, + "learning_rate": 9.712211378845532e-06, + "loss": 0.7153, + "step": 4605 + }, + { + "epoch": 0.14, + "learning_rate": 9.71205227542274e-06, + "loss": 0.9066, + "step": 4606 + }, + { + "epoch": 0.14, + "learning_rate": 9.71189312933601e-06, + "loss": 0.6538, + "step": 4607 + }, + { + "epoch": 0.14, + "learning_rate": 9.711733940586785e-06, + "loss": 0.7024, + "step": 4608 + }, + { + "epoch": 0.14, + "learning_rate": 9.711574709176503e-06, + "loss": 0.8836, + "step": 4609 + }, + { + "epoch": 0.14, + "learning_rate": 9.711415435106611e-06, + "loss": 0.853, + "step": 4610 + }, + { + "epoch": 0.14, + "learning_rate": 9.711256118378544e-06, + "loss": 1.0654, + "step": 4611 + }, + { + "epoch": 0.14, + "learning_rate": 9.71109675899375e-06, + "loss": 0.8303, + "step": 4612 + }, + { + "epoch": 0.14, + "learning_rate": 9.710937356953672e-06, + "loss": 0.733, + "step": 4613 + }, + { + "epoch": 0.14, + "learning_rate": 9.710777912259748e-06, + "loss": 0.6956, + "step": 4614 + }, + { + "epoch": 0.14, + "learning_rate": 9.710618424913427e-06, + "loss": 0.6769, + "step": 4615 + }, + { + "epoch": 0.14, + "learning_rate": 9.71045889491615e-06, + "loss": 0.8792, + "step": 4616 + }, + { + "epoch": 0.14, + "learning_rate": 9.710299322269363e-06, + "loss": 0.8552, + "step": 4617 + }, + { + "epoch": 0.14, + "learning_rate": 9.71013970697451e-06, + "loss": 0.7356, + "step": 4618 + }, + { + "epoch": 0.14, + "learning_rate": 9.709980049033037e-06, + "loss": 0.5844, + "step": 4619 + }, + { + "epoch": 0.14, + "learning_rate": 9.709820348446388e-06, + "loss": 0.6992, + "step": 4620 + }, + { + "epoch": 0.14, + "learning_rate": 9.709660605216008e-06, + "loss": 0.8061, + "step": 4621 + }, + { + "epoch": 0.14, + "learning_rate": 9.70950081934335e-06, + "loss": 0.6557, + "step": 4622 + }, + { + "epoch": 0.14, + "learning_rate": 9.709340990829854e-06, + "loss": 0.9484, + "step": 4623 + }, + { + "epoch": 0.14, + "learning_rate": 9.709181119676968e-06, + "loss": 0.7434, + "step": 4624 + }, + { + "epoch": 0.14, + "learning_rate": 9.709021205886142e-06, + "loss": 0.622, + "step": 4625 + }, + { + "epoch": 0.14, + "learning_rate": 9.708861249458822e-06, + "loss": 0.7536, + "step": 4626 + }, + { + "epoch": 0.14, + "learning_rate": 9.708701250396458e-06, + "loss": 0.7973, + "step": 4627 + }, + { + "epoch": 0.14, + "learning_rate": 9.708541208700496e-06, + "loss": 0.7533, + "step": 4628 + }, + { + "epoch": 0.14, + "learning_rate": 9.708381124372389e-06, + "loss": 1.0466, + "step": 4629 + }, + { + "epoch": 0.14, + "learning_rate": 9.70822099741358e-06, + "loss": 0.9549, + "step": 4630 + }, + { + "epoch": 0.14, + "learning_rate": 9.708060827825525e-06, + "loss": 0.7482, + "step": 4631 + }, + { + "epoch": 0.14, + "learning_rate": 9.707900615609674e-06, + "loss": 0.8674, + "step": 4632 + }, + { + "epoch": 0.14, + "learning_rate": 9.707740360767473e-06, + "loss": 0.9066, + "step": 4633 + }, + { + "epoch": 0.14, + "learning_rate": 9.707580063300375e-06, + "loss": 0.6913, + "step": 4634 + }, + { + "epoch": 0.14, + "learning_rate": 9.707419723209834e-06, + "loss": 0.6914, + "step": 4635 + }, + { + "epoch": 0.14, + "learning_rate": 9.7072593404973e-06, + "loss": 0.5025, + "step": 4636 + }, + { + "epoch": 0.14, + "learning_rate": 9.707098915164224e-06, + "loss": 0.6278, + "step": 4637 + }, + { + "epoch": 0.14, + "learning_rate": 9.70693844721206e-06, + "loss": 0.6933, + "step": 4638 + }, + { + "epoch": 0.14, + "learning_rate": 9.706777936642259e-06, + "loss": 0.8103, + "step": 4639 + }, + { + "epoch": 0.14, + "learning_rate": 9.706617383456277e-06, + "loss": 0.755, + "step": 4640 + }, + { + "epoch": 0.14, + "learning_rate": 9.706456787655566e-06, + "loss": 0.7538, + "step": 4641 + }, + { + "epoch": 0.14, + "learning_rate": 9.706296149241579e-06, + "loss": 0.9505, + "step": 4642 + }, + { + "epoch": 0.14, + "learning_rate": 9.706135468215774e-06, + "loss": 0.8742, + "step": 4643 + }, + { + "epoch": 0.14, + "learning_rate": 9.705974744579603e-06, + "loss": 0.8477, + "step": 4644 + }, + { + "epoch": 0.14, + "learning_rate": 9.70581397833452e-06, + "loss": 0.9135, + "step": 4645 + }, + { + "epoch": 0.14, + "learning_rate": 9.705653169481985e-06, + "loss": 0.8518, + "step": 4646 + }, + { + "epoch": 0.14, + "learning_rate": 9.70549231802345e-06, + "loss": 0.6346, + "step": 4647 + }, + { + "epoch": 0.14, + "learning_rate": 9.705331423960373e-06, + "loss": 0.9151, + "step": 4648 + }, + { + "epoch": 0.14, + "learning_rate": 9.70517048729421e-06, + "loss": 0.7806, + "step": 4649 + }, + { + "epoch": 0.14, + "learning_rate": 9.705009508026422e-06, + "loss": 0.808, + "step": 4650 + }, + { + "epoch": 0.14, + "learning_rate": 9.70484848615846e-06, + "loss": 0.8317, + "step": 4651 + }, + { + "epoch": 0.14, + "learning_rate": 9.704687421691787e-06, + "loss": 0.9785, + "step": 4652 + }, + { + "epoch": 0.14, + "learning_rate": 9.70452631462786e-06, + "loss": 0.8119, + "step": 4653 + }, + { + "epoch": 0.14, + "learning_rate": 9.704365164968136e-06, + "loss": 0.7492, + "step": 4654 + }, + { + "epoch": 0.14, + "learning_rate": 9.704203972714076e-06, + "loss": 0.85, + "step": 4655 + }, + { + "epoch": 0.14, + "learning_rate": 9.704042737867138e-06, + "loss": 0.9021, + "step": 4656 + }, + { + "epoch": 0.14, + "learning_rate": 9.703881460428784e-06, + "loss": 0.5261, + "step": 4657 + }, + { + "epoch": 0.14, + "learning_rate": 9.703720140400473e-06, + "loss": 0.9514, + "step": 4658 + }, + { + "epoch": 0.14, + "learning_rate": 9.703558777783663e-06, + "loss": 0.6352, + "step": 4659 + }, + { + "epoch": 0.14, + "learning_rate": 9.703397372579821e-06, + "loss": 0.8308, + "step": 4660 + }, + { + "epoch": 0.14, + "learning_rate": 9.703235924790404e-06, + "loss": 0.5826, + "step": 4661 + }, + { + "epoch": 0.14, + "learning_rate": 9.703074434416874e-06, + "loss": 0.6917, + "step": 4662 + }, + { + "epoch": 0.14, + "learning_rate": 9.702912901460694e-06, + "loss": 0.8374, + "step": 4663 + }, + { + "epoch": 0.14, + "learning_rate": 9.702751325923327e-06, + "loss": 0.6177, + "step": 4664 + }, + { + "epoch": 0.14, + "learning_rate": 9.702589707806234e-06, + "loss": 0.7114, + "step": 4665 + }, + { + "epoch": 0.14, + "learning_rate": 9.702428047110882e-06, + "loss": 0.8657, + "step": 4666 + }, + { + "epoch": 0.14, + "learning_rate": 9.702266343838731e-06, + "loss": 0.7138, + "step": 4667 + }, + { + "epoch": 0.14, + "learning_rate": 9.702104597991247e-06, + "loss": 0.7616, + "step": 4668 + }, + { + "epoch": 0.14, + "learning_rate": 9.701942809569894e-06, + "loss": 0.8161, + "step": 4669 + }, + { + "epoch": 0.14, + "learning_rate": 9.701780978576137e-06, + "loss": 0.8579, + "step": 4670 + }, + { + "epoch": 0.14, + "learning_rate": 9.70161910501144e-06, + "loss": 0.5555, + "step": 4671 + }, + { + "epoch": 0.14, + "learning_rate": 9.70145718887727e-06, + "loss": 0.7127, + "step": 4672 + }, + { + "epoch": 0.14, + "learning_rate": 9.701295230175096e-06, + "loss": 0.894, + "step": 4673 + }, + { + "epoch": 0.14, + "learning_rate": 9.701133228906378e-06, + "loss": 0.7488, + "step": 4674 + }, + { + "epoch": 0.14, + "learning_rate": 9.700971185072587e-06, + "loss": 0.6321, + "step": 4675 + }, + { + "epoch": 0.14, + "learning_rate": 9.70080909867519e-06, + "loss": 0.7092, + "step": 4676 + }, + { + "epoch": 0.14, + "learning_rate": 9.700646969715652e-06, + "loss": 0.8397, + "step": 4677 + }, + { + "epoch": 0.14, + "learning_rate": 9.700484798195443e-06, + "loss": 0.6674, + "step": 4678 + }, + { + "epoch": 0.14, + "learning_rate": 9.700322584116032e-06, + "loss": 0.7561, + "step": 4679 + }, + { + "epoch": 0.14, + "learning_rate": 9.700160327478887e-06, + "loss": 0.7741, + "step": 4680 + }, + { + "epoch": 0.14, + "learning_rate": 9.699998028285476e-06, + "loss": 0.9258, + "step": 4681 + }, + { + "epoch": 0.14, + "learning_rate": 9.699835686537269e-06, + "loss": 0.8298, + "step": 4682 + }, + { + "epoch": 0.14, + "learning_rate": 9.699673302235737e-06, + "loss": 0.8125, + "step": 4683 + }, + { + "epoch": 0.14, + "learning_rate": 9.69951087538235e-06, + "loss": 0.7856, + "step": 4684 + }, + { + "epoch": 0.14, + "learning_rate": 9.699348405978577e-06, + "loss": 0.649, + "step": 4685 + }, + { + "epoch": 0.14, + "learning_rate": 9.69918589402589e-06, + "loss": 0.9301, + "step": 4686 + }, + { + "epoch": 0.14, + "learning_rate": 9.699023339525763e-06, + "loss": 0.893, + "step": 4687 + }, + { + "epoch": 0.14, + "learning_rate": 9.698860742479663e-06, + "loss": 0.6987, + "step": 4688 + }, + { + "epoch": 0.14, + "learning_rate": 9.698698102889065e-06, + "loss": 0.805, + "step": 4689 + }, + { + "epoch": 0.14, + "learning_rate": 9.698535420755442e-06, + "loss": 0.9188, + "step": 4690 + }, + { + "epoch": 0.14, + "learning_rate": 9.698372696080267e-06, + "loss": 0.6813, + "step": 4691 + }, + { + "epoch": 0.14, + "learning_rate": 9.698209928865011e-06, + "loss": 0.7212, + "step": 4692 + }, + { + "epoch": 0.14, + "learning_rate": 9.69804711911115e-06, + "loss": 0.8391, + "step": 4693 + }, + { + "epoch": 0.14, + "learning_rate": 9.697884266820156e-06, + "loss": 0.6615, + "step": 4694 + }, + { + "epoch": 0.14, + "learning_rate": 9.697721371993505e-06, + "loss": 0.5931, + "step": 4695 + }, + { + "epoch": 0.14, + "learning_rate": 9.697558434632673e-06, + "loss": 0.5007, + "step": 4696 + }, + { + "epoch": 0.14, + "learning_rate": 9.697395454739134e-06, + "loss": 0.8614, + "step": 4697 + }, + { + "epoch": 0.14, + "learning_rate": 9.697232432314363e-06, + "loss": 0.8686, + "step": 4698 + }, + { + "epoch": 0.14, + "learning_rate": 9.697069367359837e-06, + "loss": 0.8074, + "step": 4699 + }, + { + "epoch": 0.14, + "learning_rate": 9.696906259877032e-06, + "loss": 0.6855, + "step": 4700 + }, + { + "epoch": 0.14, + "learning_rate": 9.696743109867423e-06, + "loss": 0.6144, + "step": 4701 + }, + { + "epoch": 0.14, + "learning_rate": 9.696579917332491e-06, + "loss": 0.5316, + "step": 4702 + }, + { + "epoch": 0.14, + "learning_rate": 9.696416682273712e-06, + "loss": 0.8463, + "step": 4703 + }, + { + "epoch": 0.14, + "learning_rate": 9.696253404692564e-06, + "loss": 0.7259, + "step": 4704 + }, + { + "epoch": 0.14, + "learning_rate": 9.696090084590524e-06, + "loss": 0.6708, + "step": 4705 + }, + { + "epoch": 0.14, + "learning_rate": 9.69592672196907e-06, + "loss": 0.6535, + "step": 4706 + }, + { + "epoch": 0.14, + "learning_rate": 9.695763316829687e-06, + "loss": 0.7458, + "step": 4707 + }, + { + "epoch": 0.14, + "learning_rate": 9.695599869173848e-06, + "loss": 0.7284, + "step": 4708 + }, + { + "epoch": 0.14, + "learning_rate": 9.695436379003034e-06, + "loss": 0.9653, + "step": 4709 + }, + { + "epoch": 0.14, + "learning_rate": 9.695272846318728e-06, + "loss": 0.6606, + "step": 4710 + }, + { + "epoch": 0.14, + "learning_rate": 9.69510927112241e-06, + "loss": 0.7103, + "step": 4711 + }, + { + "epoch": 0.14, + "learning_rate": 9.69494565341556e-06, + "loss": 0.9096, + "step": 4712 + }, + { + "epoch": 0.14, + "learning_rate": 9.694781993199659e-06, + "loss": 0.8217, + "step": 4713 + }, + { + "epoch": 0.14, + "learning_rate": 9.69461829047619e-06, + "loss": 0.9385, + "step": 4714 + }, + { + "epoch": 0.14, + "learning_rate": 9.694454545246634e-06, + "loss": 0.6047, + "step": 4715 + }, + { + "epoch": 0.14, + "learning_rate": 9.694290757512475e-06, + "loss": 0.8335, + "step": 4716 + }, + { + "epoch": 0.14, + "learning_rate": 9.694126927275194e-06, + "loss": 0.918, + "step": 4717 + }, + { + "epoch": 0.14, + "learning_rate": 9.693963054536277e-06, + "loss": 1.0101, + "step": 4718 + }, + { + "epoch": 0.14, + "learning_rate": 9.693799139297205e-06, + "loss": 0.6324, + "step": 4719 + }, + { + "epoch": 0.14, + "learning_rate": 9.693635181559465e-06, + "loss": 0.7659, + "step": 4720 + }, + { + "epoch": 0.14, + "learning_rate": 9.693471181324538e-06, + "loss": 0.6416, + "step": 4721 + }, + { + "epoch": 0.14, + "learning_rate": 9.693307138593913e-06, + "loss": 0.6964, + "step": 4722 + }, + { + "epoch": 0.14, + "learning_rate": 9.69314305336907e-06, + "loss": 0.8404, + "step": 4723 + }, + { + "epoch": 0.14, + "learning_rate": 9.692978925651501e-06, + "loss": 0.5271, + "step": 4724 + }, + { + "epoch": 0.14, + "learning_rate": 9.692814755442688e-06, + "loss": 0.7613, + "step": 4725 + }, + { + "epoch": 0.14, + "learning_rate": 9.692650542744118e-06, + "loss": 0.9016, + "step": 4726 + }, + { + "epoch": 0.14, + "learning_rate": 9.692486287557278e-06, + "loss": 0.834, + "step": 4727 + }, + { + "epoch": 0.14, + "learning_rate": 9.692321989883656e-06, + "loss": 0.8259, + "step": 4728 + }, + { + "epoch": 0.14, + "learning_rate": 9.692157649724738e-06, + "loss": 0.7692, + "step": 4729 + }, + { + "epoch": 0.14, + "learning_rate": 9.691993267082013e-06, + "loss": 0.6855, + "step": 4730 + }, + { + "epoch": 0.14, + "learning_rate": 9.69182884195697e-06, + "loss": 0.6334, + "step": 4731 + }, + { + "epoch": 0.14, + "learning_rate": 9.691664374351096e-06, + "loss": 0.6682, + "step": 4732 + }, + { + "epoch": 0.14, + "learning_rate": 9.691499864265881e-06, + "loss": 0.7904, + "step": 4733 + }, + { + "epoch": 0.14, + "learning_rate": 9.691335311702814e-06, + "loss": 1.0159, + "step": 4734 + }, + { + "epoch": 0.14, + "learning_rate": 9.691170716663387e-06, + "loss": 0.6224, + "step": 4735 + }, + { + "epoch": 0.14, + "learning_rate": 9.691006079149089e-06, + "loss": 0.8694, + "step": 4736 + }, + { + "epoch": 0.14, + "learning_rate": 9.690841399161408e-06, + "loss": 1.0336, + "step": 4737 + }, + { + "epoch": 0.14, + "learning_rate": 9.69067667670184e-06, + "loss": 0.7157, + "step": 4738 + }, + { + "epoch": 0.14, + "learning_rate": 9.690511911771874e-06, + "loss": 0.7877, + "step": 4739 + }, + { + "epoch": 0.14, + "learning_rate": 9.690347104372999e-06, + "loss": 0.7637, + "step": 4740 + }, + { + "epoch": 0.14, + "learning_rate": 9.690182254506712e-06, + "loss": 0.8449, + "step": 4741 + }, + { + "epoch": 0.14, + "learning_rate": 9.690017362174504e-06, + "loss": 0.9438, + "step": 4742 + }, + { + "epoch": 0.14, + "learning_rate": 9.689852427377865e-06, + "loss": 0.8085, + "step": 4743 + }, + { + "epoch": 0.14, + "learning_rate": 9.689687450118293e-06, + "loss": 0.7124, + "step": 4744 + }, + { + "epoch": 0.14, + "learning_rate": 9.689522430397281e-06, + "loss": 0.7881, + "step": 4745 + }, + { + "epoch": 0.14, + "learning_rate": 9.689357368216318e-06, + "loss": 0.834, + "step": 4746 + }, + { + "epoch": 0.14, + "learning_rate": 9.689192263576906e-06, + "loss": 0.688, + "step": 4747 + }, + { + "epoch": 0.14, + "learning_rate": 9.689027116480532e-06, + "loss": 0.6771, + "step": 4748 + }, + { + "epoch": 0.14, + "learning_rate": 9.6888619269287e-06, + "loss": 0.7904, + "step": 4749 + }, + { + "epoch": 0.14, + "learning_rate": 9.688696694922896e-06, + "loss": 0.7322, + "step": 4750 + }, + { + "epoch": 0.14, + "learning_rate": 9.688531420464624e-06, + "loss": 0.774, + "step": 4751 + }, + { + "epoch": 0.14, + "learning_rate": 9.688366103555377e-06, + "loss": 0.7872, + "step": 4752 + }, + { + "epoch": 0.14, + "learning_rate": 9.688200744196652e-06, + "loss": 0.7469, + "step": 4753 + }, + { + "epoch": 0.14, + "learning_rate": 9.688035342389947e-06, + "loss": 0.793, + "step": 4754 + }, + { + "epoch": 0.14, + "learning_rate": 9.687869898136758e-06, + "loss": 0.8268, + "step": 4755 + }, + { + "epoch": 0.14, + "learning_rate": 9.687704411438588e-06, + "loss": 0.7016, + "step": 4756 + }, + { + "epoch": 0.14, + "learning_rate": 9.687538882296927e-06, + "loss": 0.9774, + "step": 4757 + }, + { + "epoch": 0.14, + "learning_rate": 9.68737331071328e-06, + "loss": 0.8017, + "step": 4758 + }, + { + "epoch": 0.14, + "learning_rate": 9.687207696689144e-06, + "loss": 0.6591, + "step": 4759 + }, + { + "epoch": 0.14, + "learning_rate": 9.68704204022602e-06, + "loss": 0.7769, + "step": 4760 + }, + { + "epoch": 0.14, + "learning_rate": 9.686876341325405e-06, + "loss": 0.6719, + "step": 4761 + }, + { + "epoch": 0.14, + "learning_rate": 9.686710599988802e-06, + "loss": 0.6658, + "step": 4762 + }, + { + "epoch": 0.14, + "learning_rate": 9.68654481621771e-06, + "loss": 0.9273, + "step": 4763 + }, + { + "epoch": 0.14, + "learning_rate": 9.68637899001363e-06, + "loss": 0.6567, + "step": 4764 + }, + { + "epoch": 0.14, + "learning_rate": 9.686213121378066e-06, + "loss": 0.8046, + "step": 4765 + }, + { + "epoch": 0.14, + "learning_rate": 9.686047210312516e-06, + "loss": 0.8701, + "step": 4766 + }, + { + "epoch": 0.14, + "learning_rate": 9.685881256818485e-06, + "loss": 0.8291, + "step": 4767 + }, + { + "epoch": 0.14, + "learning_rate": 9.685715260897475e-06, + "loss": 1.0083, + "step": 4768 + }, + { + "epoch": 0.14, + "learning_rate": 9.685549222550988e-06, + "loss": 0.763, + "step": 4769 + }, + { + "epoch": 0.14, + "learning_rate": 9.68538314178053e-06, + "loss": 0.7102, + "step": 4770 + }, + { + "epoch": 0.14, + "learning_rate": 9.685217018587597e-06, + "loss": 0.7721, + "step": 4771 + }, + { + "epoch": 0.14, + "learning_rate": 9.685050852973706e-06, + "loss": 0.882, + "step": 4772 + }, + { + "epoch": 0.14, + "learning_rate": 9.68488464494035e-06, + "loss": 0.6332, + "step": 4773 + }, + { + "epoch": 0.14, + "learning_rate": 9.684718394489039e-06, + "loss": 0.5695, + "step": 4774 + }, + { + "epoch": 0.14, + "learning_rate": 9.684552101621278e-06, + "loss": 0.8197, + "step": 4775 + }, + { + "epoch": 0.14, + "learning_rate": 9.68438576633857e-06, + "loss": 0.6061, + "step": 4776 + }, + { + "epoch": 0.14, + "learning_rate": 9.684219388642426e-06, + "loss": 0.6016, + "step": 4777 + }, + { + "epoch": 0.14, + "learning_rate": 9.68405296853435e-06, + "loss": 0.6853, + "step": 4778 + }, + { + "epoch": 0.14, + "learning_rate": 9.683886506015847e-06, + "loss": 0.7501, + "step": 4779 + }, + { + "epoch": 0.14, + "learning_rate": 9.683720001088425e-06, + "loss": 0.8368, + "step": 4780 + }, + { + "epoch": 0.14, + "learning_rate": 9.683553453753593e-06, + "loss": 0.7356, + "step": 4781 + }, + { + "epoch": 0.14, + "learning_rate": 9.683386864012859e-06, + "loss": 0.6244, + "step": 4782 + }, + { + "epoch": 0.14, + "learning_rate": 9.683220231867728e-06, + "loss": 0.6895, + "step": 4783 + }, + { + "epoch": 0.14, + "learning_rate": 9.683053557319712e-06, + "loss": 0.6605, + "step": 4784 + }, + { + "epoch": 0.14, + "learning_rate": 9.68288684037032e-06, + "loss": 1.093, + "step": 4785 + }, + { + "epoch": 0.14, + "learning_rate": 9.68272008102106e-06, + "loss": 1.1185, + "step": 4786 + }, + { + "epoch": 0.14, + "learning_rate": 9.682553279273443e-06, + "loss": 0.7182, + "step": 4787 + }, + { + "epoch": 0.14, + "learning_rate": 9.68238643512898e-06, + "loss": 1.0098, + "step": 4788 + }, + { + "epoch": 0.14, + "learning_rate": 9.68221954858918e-06, + "loss": 0.6124, + "step": 4789 + }, + { + "epoch": 0.14, + "learning_rate": 9.682052619655554e-06, + "loss": 0.4732, + "step": 4790 + }, + { + "epoch": 0.14, + "learning_rate": 9.681885648329613e-06, + "loss": 0.5379, + "step": 4791 + }, + { + "epoch": 0.14, + "learning_rate": 9.681718634612871e-06, + "loss": 0.9579, + "step": 4792 + }, + { + "epoch": 0.14, + "learning_rate": 9.681551578506838e-06, + "loss": 0.8529, + "step": 4793 + }, + { + "epoch": 0.14, + "learning_rate": 9.681384480013029e-06, + "loss": 0.8698, + "step": 4794 + }, + { + "epoch": 0.14, + "learning_rate": 9.681217339132955e-06, + "loss": 0.8205, + "step": 4795 + }, + { + "epoch": 0.14, + "learning_rate": 9.681050155868131e-06, + "loss": 0.9571, + "step": 4796 + }, + { + "epoch": 0.14, + "learning_rate": 9.680882930220066e-06, + "loss": 0.8523, + "step": 4797 + }, + { + "epoch": 0.14, + "learning_rate": 9.680715662190281e-06, + "loss": 0.6194, + "step": 4798 + }, + { + "epoch": 0.14, + "learning_rate": 9.680548351780286e-06, + "loss": 0.9911, + "step": 4799 + }, + { + "epoch": 0.14, + "learning_rate": 9.680380998991595e-06, + "loss": 0.8166, + "step": 4800 + }, + { + "epoch": 0.14, + "learning_rate": 9.680213603825727e-06, + "loss": 0.8766, + "step": 4801 + }, + { + "epoch": 0.14, + "learning_rate": 9.680046166284195e-06, + "loss": 0.7063, + "step": 4802 + }, + { + "epoch": 0.14, + "learning_rate": 9.679878686368517e-06, + "loss": 0.6341, + "step": 4803 + }, + { + "epoch": 0.14, + "learning_rate": 9.679711164080207e-06, + "loss": 0.8416, + "step": 4804 + }, + { + "epoch": 0.14, + "learning_rate": 9.679543599420785e-06, + "loss": 0.4867, + "step": 4805 + }, + { + "epoch": 0.14, + "learning_rate": 9.679375992391766e-06, + "loss": 0.6112, + "step": 4806 + }, + { + "epoch": 0.14, + "learning_rate": 9.679208342994666e-06, + "loss": 0.8334, + "step": 4807 + }, + { + "epoch": 0.14, + "learning_rate": 9.679040651231005e-06, + "loss": 0.8157, + "step": 4808 + }, + { + "epoch": 0.14, + "learning_rate": 9.678872917102303e-06, + "loss": 0.8982, + "step": 4809 + }, + { + "epoch": 0.14, + "learning_rate": 9.678705140610074e-06, + "loss": 0.7514, + "step": 4810 + }, + { + "epoch": 0.14, + "learning_rate": 9.678537321755841e-06, + "loss": 0.7418, + "step": 4811 + }, + { + "epoch": 0.14, + "learning_rate": 9.678369460541121e-06, + "loss": 1.242, + "step": 4812 + }, + { + "epoch": 0.14, + "learning_rate": 9.678201556967437e-06, + "loss": 0.793, + "step": 4813 + }, + { + "epoch": 0.14, + "learning_rate": 9.678033611036307e-06, + "loss": 0.6971, + "step": 4814 + }, + { + "epoch": 0.14, + "learning_rate": 9.677865622749252e-06, + "loss": 0.5816, + "step": 4815 + }, + { + "epoch": 0.14, + "learning_rate": 9.677697592107791e-06, + "loss": 0.7605, + "step": 4816 + }, + { + "epoch": 0.14, + "learning_rate": 9.677529519113448e-06, + "loss": 0.5354, + "step": 4817 + }, + { + "epoch": 0.14, + "learning_rate": 9.677361403767746e-06, + "loss": 0.8035, + "step": 4818 + }, + { + "epoch": 0.14, + "learning_rate": 9.677193246072206e-06, + "loss": 0.6484, + "step": 4819 + }, + { + "epoch": 0.14, + "learning_rate": 9.677025046028345e-06, + "loss": 0.8509, + "step": 4820 + }, + { + "epoch": 0.14, + "learning_rate": 9.676856803637696e-06, + "loss": 0.7434, + "step": 4821 + }, + { + "epoch": 0.14, + "learning_rate": 9.676688518901774e-06, + "loss": 0.5611, + "step": 4822 + }, + { + "epoch": 0.14, + "learning_rate": 9.676520191822104e-06, + "loss": 0.7564, + "step": 4823 + }, + { + "epoch": 0.14, + "learning_rate": 9.676351822400216e-06, + "loss": 0.6276, + "step": 4824 + }, + { + "epoch": 0.14, + "learning_rate": 9.676183410637628e-06, + "loss": 0.8763, + "step": 4825 + }, + { + "epoch": 0.14, + "learning_rate": 9.67601495653587e-06, + "loss": 0.9092, + "step": 4826 + }, + { + "epoch": 0.14, + "learning_rate": 9.67584646009646e-06, + "loss": 0.6238, + "step": 4827 + }, + { + "epoch": 0.14, + "learning_rate": 9.67567792132093e-06, + "loss": 0.66, + "step": 4828 + }, + { + "epoch": 0.14, + "learning_rate": 9.675509340210802e-06, + "loss": 0.6991, + "step": 4829 + }, + { + "epoch": 0.14, + "learning_rate": 9.675340716767606e-06, + "loss": 0.7979, + "step": 4830 + }, + { + "epoch": 0.14, + "learning_rate": 9.675172050992868e-06, + "loss": 0.6845, + "step": 4831 + }, + { + "epoch": 0.14, + "learning_rate": 9.675003342888112e-06, + "loss": 0.9336, + "step": 4832 + }, + { + "epoch": 0.14, + "learning_rate": 9.674834592454868e-06, + "loss": 1.0101, + "step": 4833 + }, + { + "epoch": 0.14, + "learning_rate": 9.674665799694664e-06, + "loss": 0.704, + "step": 4834 + }, + { + "epoch": 0.14, + "learning_rate": 9.674496964609028e-06, + "loss": 0.5691, + "step": 4835 + }, + { + "epoch": 0.14, + "learning_rate": 9.674328087199489e-06, + "loss": 0.7612, + "step": 4836 + }, + { + "epoch": 0.14, + "learning_rate": 9.674159167467574e-06, + "loss": 0.5748, + "step": 4837 + }, + { + "epoch": 0.14, + "learning_rate": 9.673990205414816e-06, + "loss": 1.0457, + "step": 4838 + }, + { + "epoch": 0.14, + "learning_rate": 9.673821201042741e-06, + "loss": 0.8223, + "step": 4839 + }, + { + "epoch": 0.14, + "learning_rate": 9.673652154352882e-06, + "loss": 0.7603, + "step": 4840 + }, + { + "epoch": 0.14, + "learning_rate": 9.673483065346767e-06, + "loss": 0.6898, + "step": 4841 + }, + { + "epoch": 0.14, + "learning_rate": 9.673313934025931e-06, + "loss": 0.7555, + "step": 4842 + }, + { + "epoch": 0.14, + "learning_rate": 9.673144760391901e-06, + "loss": 0.593, + "step": 4843 + }, + { + "epoch": 0.14, + "learning_rate": 9.672975544446212e-06, + "loss": 0.8795, + "step": 4844 + }, + { + "epoch": 0.14, + "learning_rate": 9.672806286190394e-06, + "loss": 0.6617, + "step": 4845 + }, + { + "epoch": 0.14, + "learning_rate": 9.67263698562598e-06, + "loss": 0.8783, + "step": 4846 + }, + { + "epoch": 0.14, + "learning_rate": 9.672467642754505e-06, + "loss": 0.8975, + "step": 4847 + }, + { + "epoch": 0.14, + "learning_rate": 9.6722982575775e-06, + "loss": 0.4076, + "step": 4848 + }, + { + "epoch": 0.14, + "learning_rate": 9.672128830096496e-06, + "loss": 1.1031, + "step": 4849 + }, + { + "epoch": 0.14, + "learning_rate": 9.671959360313033e-06, + "loss": 0.6704, + "step": 4850 + }, + { + "epoch": 0.14, + "learning_rate": 9.671789848228642e-06, + "loss": 0.8337, + "step": 4851 + }, + { + "epoch": 0.14, + "learning_rate": 9.671620293844859e-06, + "loss": 0.741, + "step": 4852 + }, + { + "epoch": 0.14, + "learning_rate": 9.671450697163217e-06, + "loss": 0.7335, + "step": 4853 + }, + { + "epoch": 0.14, + "learning_rate": 9.671281058185253e-06, + "loss": 0.8839, + "step": 4854 + }, + { + "epoch": 0.14, + "learning_rate": 9.671111376912505e-06, + "loss": 0.7815, + "step": 4855 + }, + { + "epoch": 0.14, + "learning_rate": 9.670941653346505e-06, + "loss": 0.63, + "step": 4856 + }, + { + "epoch": 0.14, + "learning_rate": 9.670771887488794e-06, + "loss": 0.8468, + "step": 4857 + }, + { + "epoch": 0.14, + "learning_rate": 9.670602079340906e-06, + "loss": 0.6656, + "step": 4858 + }, + { + "epoch": 0.14, + "learning_rate": 9.67043222890438e-06, + "loss": 1.1057, + "step": 4859 + }, + { + "epoch": 0.14, + "learning_rate": 9.670262336180754e-06, + "loss": 0.9153, + "step": 4860 + }, + { + "epoch": 0.14, + "learning_rate": 9.670092401171565e-06, + "loss": 0.7074, + "step": 4861 + }, + { + "epoch": 0.14, + "learning_rate": 9.669922423878352e-06, + "loss": 0.7965, + "step": 4862 + }, + { + "epoch": 0.14, + "learning_rate": 9.669752404302657e-06, + "loss": 0.7206, + "step": 4863 + }, + { + "epoch": 0.14, + "learning_rate": 9.669582342446014e-06, + "loss": 0.8349, + "step": 4864 + }, + { + "epoch": 0.14, + "learning_rate": 9.669412238309966e-06, + "loss": 0.7588, + "step": 4865 + }, + { + "epoch": 0.14, + "learning_rate": 9.669242091896053e-06, + "loss": 0.8769, + "step": 4866 + }, + { + "epoch": 0.14, + "learning_rate": 9.669071903205815e-06, + "loss": 0.5159, + "step": 4867 + }, + { + "epoch": 0.14, + "learning_rate": 9.668901672240793e-06, + "loss": 0.9143, + "step": 4868 + }, + { + "epoch": 0.14, + "learning_rate": 9.66873139900253e-06, + "loss": 0.7041, + "step": 4869 + }, + { + "epoch": 0.14, + "learning_rate": 9.668561083492565e-06, + "loss": 0.8408, + "step": 4870 + }, + { + "epoch": 0.14, + "learning_rate": 9.668390725712442e-06, + "loss": 1.0613, + "step": 4871 + }, + { + "epoch": 0.14, + "learning_rate": 9.6682203256637e-06, + "loss": 0.8597, + "step": 4872 + }, + { + "epoch": 0.14, + "learning_rate": 9.668049883347888e-06, + "loss": 0.7904, + "step": 4873 + }, + { + "epoch": 0.14, + "learning_rate": 9.667879398766544e-06, + "loss": 0.7805, + "step": 4874 + }, + { + "epoch": 0.14, + "learning_rate": 9.667708871921214e-06, + "loss": 0.8257, + "step": 4875 + }, + { + "epoch": 0.14, + "learning_rate": 9.667538302813443e-06, + "loss": 0.8228, + "step": 4876 + }, + { + "epoch": 0.14, + "learning_rate": 9.66736769144477e-06, + "loss": 0.6872, + "step": 4877 + }, + { + "epoch": 0.14, + "learning_rate": 9.667197037816746e-06, + "loss": 0.9192, + "step": 4878 + }, + { + "epoch": 0.14, + "learning_rate": 9.667026341930913e-06, + "loss": 0.5877, + "step": 4879 + }, + { + "epoch": 0.14, + "learning_rate": 9.666855603788816e-06, + "loss": 0.7039, + "step": 4880 + }, + { + "epoch": 0.14, + "learning_rate": 9.666684823392003e-06, + "loss": 0.8252, + "step": 4881 + }, + { + "epoch": 0.14, + "learning_rate": 9.666514000742019e-06, + "loss": 0.8999, + "step": 4882 + }, + { + "epoch": 0.14, + "learning_rate": 9.666343135840412e-06, + "loss": 0.8629, + "step": 4883 + }, + { + "epoch": 0.14, + "learning_rate": 9.666172228688729e-06, + "loss": 0.7517, + "step": 4884 + }, + { + "epoch": 0.14, + "learning_rate": 9.666001279288514e-06, + "loss": 0.8267, + "step": 4885 + }, + { + "epoch": 0.14, + "learning_rate": 9.665830287641318e-06, + "loss": 0.7002, + "step": 4886 + }, + { + "epoch": 0.14, + "learning_rate": 9.66565925374869e-06, + "loss": 0.7096, + "step": 4887 + }, + { + "epoch": 0.14, + "learning_rate": 9.665488177612175e-06, + "loss": 0.736, + "step": 4888 + }, + { + "epoch": 0.14, + "learning_rate": 9.665317059233326e-06, + "loss": 0.7637, + "step": 4889 + }, + { + "epoch": 0.14, + "learning_rate": 9.665145898613688e-06, + "loss": 0.761, + "step": 4890 + }, + { + "epoch": 0.14, + "learning_rate": 9.664974695754815e-06, + "loss": 0.8311, + "step": 4891 + }, + { + "epoch": 0.14, + "learning_rate": 9.664803450658253e-06, + "loss": 0.7695, + "step": 4892 + }, + { + "epoch": 0.14, + "learning_rate": 9.664632163325557e-06, + "loss": 0.7235, + "step": 4893 + }, + { + "epoch": 0.14, + "learning_rate": 9.664460833758273e-06, + "loss": 0.4295, + "step": 4894 + }, + { + "epoch": 0.14, + "learning_rate": 9.664289461957958e-06, + "loss": 0.8707, + "step": 4895 + }, + { + "epoch": 0.14, + "learning_rate": 9.664118047926158e-06, + "loss": 0.7965, + "step": 4896 + }, + { + "epoch": 0.14, + "learning_rate": 9.663946591664428e-06, + "loss": 0.7515, + "step": 4897 + }, + { + "epoch": 0.14, + "learning_rate": 9.663775093174321e-06, + "loss": 0.8935, + "step": 4898 + }, + { + "epoch": 0.14, + "learning_rate": 9.663603552457387e-06, + "loss": 0.7843, + "step": 4899 + }, + { + "epoch": 0.14, + "learning_rate": 9.663431969515183e-06, + "loss": 0.9624, + "step": 4900 + }, + { + "epoch": 0.14, + "learning_rate": 9.66326034434926e-06, + "loss": 0.5211, + "step": 4901 + }, + { + "epoch": 0.14, + "learning_rate": 9.66308867696117e-06, + "loss": 0.8315, + "step": 4902 + }, + { + "epoch": 0.14, + "learning_rate": 9.66291696735247e-06, + "loss": 0.9518, + "step": 4903 + }, + { + "epoch": 0.14, + "learning_rate": 9.662745215524716e-06, + "loss": 0.5297, + "step": 4904 + }, + { + "epoch": 0.14, + "learning_rate": 9.66257342147946e-06, + "loss": 0.8134, + "step": 4905 + }, + { + "epoch": 0.14, + "learning_rate": 9.66240158521826e-06, + "loss": 0.701, + "step": 4906 + }, + { + "epoch": 0.14, + "learning_rate": 9.66222970674267e-06, + "loss": 0.9062, + "step": 4907 + }, + { + "epoch": 0.14, + "learning_rate": 9.662057786054247e-06, + "loss": 0.7006, + "step": 4908 + }, + { + "epoch": 0.14, + "learning_rate": 9.661885823154547e-06, + "loss": 0.869, + "step": 4909 + }, + { + "epoch": 0.14, + "learning_rate": 9.661713818045128e-06, + "loss": 0.6131, + "step": 4910 + }, + { + "epoch": 0.14, + "learning_rate": 9.661541770727547e-06, + "loss": 0.7525, + "step": 4911 + }, + { + "epoch": 0.14, + "learning_rate": 9.661369681203362e-06, + "loss": 0.9412, + "step": 4912 + }, + { + "epoch": 0.14, + "learning_rate": 9.661197549474129e-06, + "loss": 0.4802, + "step": 4913 + }, + { + "epoch": 0.14, + "learning_rate": 9.661025375541411e-06, + "loss": 0.7165, + "step": 4914 + }, + { + "epoch": 0.14, + "learning_rate": 9.660853159406761e-06, + "loss": 0.7414, + "step": 4915 + }, + { + "epoch": 0.14, + "learning_rate": 9.660680901071744e-06, + "loss": 0.7094, + "step": 4916 + }, + { + "epoch": 0.14, + "learning_rate": 9.660508600537917e-06, + "loss": 0.9548, + "step": 4917 + }, + { + "epoch": 0.14, + "learning_rate": 9.660336257806839e-06, + "loss": 1.1025, + "step": 4918 + }, + { + "epoch": 0.14, + "learning_rate": 9.660163872880073e-06, + "loss": 0.7954, + "step": 4919 + }, + { + "epoch": 0.14, + "learning_rate": 9.659991445759175e-06, + "loss": 0.8339, + "step": 4920 + }, + { + "epoch": 0.14, + "learning_rate": 9.659818976445713e-06, + "loss": 0.5874, + "step": 4921 + }, + { + "epoch": 0.14, + "learning_rate": 9.659646464941244e-06, + "loss": 0.7881, + "step": 4922 + }, + { + "epoch": 0.14, + "learning_rate": 9.659473911247332e-06, + "loss": 0.6335, + "step": 4923 + }, + { + "epoch": 0.14, + "learning_rate": 9.659301315365539e-06, + "loss": 0.7107, + "step": 4924 + }, + { + "epoch": 0.14, + "learning_rate": 9.659128677297425e-06, + "loss": 0.9922, + "step": 4925 + }, + { + "epoch": 0.14, + "learning_rate": 9.658955997044556e-06, + "loss": 0.7665, + "step": 4926 + }, + { + "epoch": 0.14, + "learning_rate": 9.658783274608496e-06, + "loss": 1.1374, + "step": 4927 + }, + { + "epoch": 0.14, + "learning_rate": 9.658610509990808e-06, + "loss": 0.7152, + "step": 4928 + }, + { + "epoch": 0.14, + "learning_rate": 9.658437703193053e-06, + "loss": 0.7528, + "step": 4929 + }, + { + "epoch": 0.14, + "learning_rate": 9.658264854216802e-06, + "loss": 1.0452, + "step": 4930 + }, + { + "epoch": 0.14, + "learning_rate": 9.658091963063614e-06, + "loss": 0.9055, + "step": 4931 + }, + { + "epoch": 0.14, + "learning_rate": 9.657919029735058e-06, + "loss": 0.8143, + "step": 4932 + }, + { + "epoch": 0.14, + "learning_rate": 9.657746054232697e-06, + "loss": 0.8958, + "step": 4933 + }, + { + "epoch": 0.14, + "learning_rate": 9.657573036558101e-06, + "loss": 0.8656, + "step": 4934 + }, + { + "epoch": 0.14, + "learning_rate": 9.657399976712833e-06, + "loss": 1.1793, + "step": 4935 + }, + { + "epoch": 0.15, + "learning_rate": 9.657226874698462e-06, + "loss": 0.6378, + "step": 4936 + }, + { + "epoch": 0.15, + "learning_rate": 9.657053730516554e-06, + "loss": 0.706, + "step": 4937 + }, + { + "epoch": 0.15, + "learning_rate": 9.65688054416868e-06, + "loss": 0.707, + "step": 4938 + }, + { + "epoch": 0.15, + "learning_rate": 9.656707315656402e-06, + "loss": 0.9701, + "step": 4939 + }, + { + "epoch": 0.15, + "learning_rate": 9.656534044981293e-06, + "loss": 0.7958, + "step": 4940 + }, + { + "epoch": 0.15, + "learning_rate": 9.65636073214492e-06, + "loss": 0.9464, + "step": 4941 + }, + { + "epoch": 0.15, + "learning_rate": 9.656187377148854e-06, + "loss": 0.6355, + "step": 4942 + }, + { + "epoch": 0.15, + "learning_rate": 9.656013979994663e-06, + "loss": 0.9609, + "step": 4943 + }, + { + "epoch": 0.15, + "learning_rate": 9.655840540683918e-06, + "loss": 0.5257, + "step": 4944 + }, + { + "epoch": 0.15, + "learning_rate": 9.655667059218187e-06, + "loss": 0.7456, + "step": 4945 + }, + { + "epoch": 0.15, + "learning_rate": 9.655493535599045e-06, + "loss": 0.5299, + "step": 4946 + }, + { + "epoch": 0.15, + "learning_rate": 9.65531996982806e-06, + "loss": 0.9298, + "step": 4947 + }, + { + "epoch": 0.15, + "learning_rate": 9.655146361906803e-06, + "loss": 0.6345, + "step": 4948 + }, + { + "epoch": 0.15, + "learning_rate": 9.654972711836848e-06, + "loss": 0.5923, + "step": 4949 + }, + { + "epoch": 0.15, + "learning_rate": 9.654799019619767e-06, + "loss": 0.7397, + "step": 4950 + }, + { + "epoch": 0.15, + "learning_rate": 9.65462528525713e-06, + "loss": 0.9881, + "step": 4951 + }, + { + "epoch": 0.15, + "learning_rate": 9.654451508750514e-06, + "loss": 0.9235, + "step": 4952 + }, + { + "epoch": 0.15, + "learning_rate": 9.654277690101488e-06, + "loss": 0.6754, + "step": 4953 + }, + { + "epoch": 0.15, + "learning_rate": 9.65410382931163e-06, + "loss": 0.7526, + "step": 4954 + }, + { + "epoch": 0.15, + "learning_rate": 9.653929926382511e-06, + "loss": 1.047, + "step": 4955 + }, + { + "epoch": 0.15, + "learning_rate": 9.653755981315709e-06, + "loss": 0.776, + "step": 4956 + }, + { + "epoch": 0.15, + "learning_rate": 9.653581994112795e-06, + "loss": 0.6294, + "step": 4957 + }, + { + "epoch": 0.15, + "learning_rate": 9.653407964775347e-06, + "loss": 0.9373, + "step": 4958 + }, + { + "epoch": 0.15, + "learning_rate": 9.653233893304939e-06, + "loss": 0.7115, + "step": 4959 + }, + { + "epoch": 0.15, + "learning_rate": 9.653059779703149e-06, + "loss": 0.8291, + "step": 4960 + }, + { + "epoch": 0.15, + "learning_rate": 9.652885623971551e-06, + "loss": 0.7093, + "step": 4961 + }, + { + "epoch": 0.15, + "learning_rate": 9.652711426111725e-06, + "loss": 0.6398, + "step": 4962 + }, + { + "epoch": 0.15, + "learning_rate": 9.652537186125245e-06, + "loss": 0.8961, + "step": 4963 + }, + { + "epoch": 0.15, + "learning_rate": 9.65236290401369e-06, + "loss": 0.5895, + "step": 4964 + }, + { + "epoch": 0.15, + "learning_rate": 9.652188579778639e-06, + "loss": 0.7563, + "step": 4965 + }, + { + "epoch": 0.15, + "learning_rate": 9.65201421342167e-06, + "loss": 0.8412, + "step": 4966 + }, + { + "epoch": 0.15, + "learning_rate": 9.651839804944361e-06, + "loss": 0.6184, + "step": 4967 + }, + { + "epoch": 0.15, + "learning_rate": 9.65166535434829e-06, + "loss": 0.6233, + "step": 4968 + }, + { + "epoch": 0.15, + "learning_rate": 9.65149086163504e-06, + "loss": 0.6599, + "step": 4969 + }, + { + "epoch": 0.15, + "learning_rate": 9.651316326806186e-06, + "loss": 0.657, + "step": 4970 + }, + { + "epoch": 0.15, + "learning_rate": 9.651141749863313e-06, + "loss": 0.7203, + "step": 4971 + }, + { + "epoch": 0.15, + "learning_rate": 9.650967130807997e-06, + "loss": 0.9316, + "step": 4972 + }, + { + "epoch": 0.15, + "learning_rate": 9.650792469641826e-06, + "loss": 1.177, + "step": 4973 + }, + { + "epoch": 0.15, + "learning_rate": 9.650617766366375e-06, + "loss": 0.6907, + "step": 4974 + }, + { + "epoch": 0.15, + "learning_rate": 9.650443020983226e-06, + "loss": 0.7914, + "step": 4975 + }, + { + "epoch": 0.15, + "learning_rate": 9.650268233493965e-06, + "loss": 0.5713, + "step": 4976 + }, + { + "epoch": 0.15, + "learning_rate": 9.650093403900173e-06, + "loss": 0.7176, + "step": 4977 + }, + { + "epoch": 0.15, + "learning_rate": 9.649918532203432e-06, + "loss": 0.7634, + "step": 4978 + }, + { + "epoch": 0.15, + "learning_rate": 9.649743618405325e-06, + "loss": 0.6501, + "step": 4979 + }, + { + "epoch": 0.15, + "learning_rate": 9.649568662507439e-06, + "loss": 0.9832, + "step": 4980 + }, + { + "epoch": 0.15, + "learning_rate": 9.649393664511354e-06, + "loss": 0.5827, + "step": 4981 + }, + { + "epoch": 0.15, + "learning_rate": 9.649218624418657e-06, + "loss": 0.9774, + "step": 4982 + }, + { + "epoch": 0.15, + "learning_rate": 9.649043542230931e-06, + "loss": 0.6863, + "step": 4983 + }, + { + "epoch": 0.15, + "learning_rate": 9.648868417949764e-06, + "loss": 0.6274, + "step": 4984 + }, + { + "epoch": 0.15, + "learning_rate": 9.648693251576738e-06, + "loss": 0.7003, + "step": 4985 + }, + { + "epoch": 0.15, + "learning_rate": 9.648518043113442e-06, + "loss": 0.7923, + "step": 4986 + }, + { + "epoch": 0.15, + "learning_rate": 9.64834279256146e-06, + "loss": 0.639, + "step": 4987 + }, + { + "epoch": 0.15, + "learning_rate": 9.648167499922381e-06, + "loss": 0.8284, + "step": 4988 + }, + { + "epoch": 0.15, + "learning_rate": 9.64799216519779e-06, + "loss": 1.0329, + "step": 4989 + }, + { + "epoch": 0.15, + "learning_rate": 9.647816788389278e-06, + "loss": 0.4805, + "step": 4990 + }, + { + "epoch": 0.15, + "learning_rate": 9.64764136949843e-06, + "loss": 0.5998, + "step": 4991 + }, + { + "epoch": 0.15, + "learning_rate": 9.647465908526834e-06, + "loss": 0.5916, + "step": 4992 + }, + { + "epoch": 0.15, + "learning_rate": 9.647290405476079e-06, + "loss": 0.9315, + "step": 4993 + }, + { + "epoch": 0.15, + "learning_rate": 9.647114860347756e-06, + "loss": 0.801, + "step": 4994 + }, + { + "epoch": 0.15, + "learning_rate": 9.646939273143452e-06, + "loss": 0.599, + "step": 4995 + }, + { + "epoch": 0.15, + "learning_rate": 9.646763643864759e-06, + "loss": 0.9584, + "step": 4996 + }, + { + "epoch": 0.15, + "learning_rate": 9.646587972513263e-06, + "loss": 0.9275, + "step": 4997 + }, + { + "epoch": 0.15, + "learning_rate": 9.64641225909056e-06, + "loss": 0.8059, + "step": 4998 + }, + { + "epoch": 0.15, + "learning_rate": 9.646236503598239e-06, + "loss": 0.7698, + "step": 4999 + }, + { + "epoch": 0.15, + "learning_rate": 9.646060706037889e-06, + "loss": 0.7814, + "step": 5000 + }, + { + "epoch": 0.15, + "learning_rate": 9.645884866411106e-06, + "loss": 0.6995, + "step": 5001 + }, + { + "epoch": 0.15, + "learning_rate": 9.645708984719478e-06, + "loss": 1.002, + "step": 5002 + }, + { + "epoch": 0.15, + "learning_rate": 9.645533060964598e-06, + "loss": 0.6477, + "step": 5003 + }, + { + "epoch": 0.15, + "learning_rate": 9.645357095148063e-06, + "loss": 0.8824, + "step": 5004 + }, + { + "epoch": 0.15, + "learning_rate": 9.64518108727146e-06, + "loss": 0.5094, + "step": 5005 + }, + { + "epoch": 0.15, + "learning_rate": 9.645005037336388e-06, + "loss": 0.5759, + "step": 5006 + }, + { + "epoch": 0.15, + "learning_rate": 9.644828945344437e-06, + "loss": 0.5529, + "step": 5007 + }, + { + "epoch": 0.15, + "learning_rate": 9.644652811297205e-06, + "loss": 0.6629, + "step": 5008 + }, + { + "epoch": 0.15, + "learning_rate": 9.644476635196282e-06, + "loss": 0.9573, + "step": 5009 + }, + { + "epoch": 0.15, + "learning_rate": 9.644300417043268e-06, + "loss": 0.8664, + "step": 5010 + }, + { + "epoch": 0.15, + "learning_rate": 9.644124156839757e-06, + "loss": 1.0389, + "step": 5011 + }, + { + "epoch": 0.15, + "learning_rate": 9.643947854587344e-06, + "loss": 0.7847, + "step": 5012 + }, + { + "epoch": 0.15, + "learning_rate": 9.643771510287625e-06, + "loss": 0.7971, + "step": 5013 + }, + { + "epoch": 0.15, + "learning_rate": 9.6435951239422e-06, + "loss": 0.6503, + "step": 5014 + }, + { + "epoch": 0.15, + "learning_rate": 9.64341869555266e-06, + "loss": 0.8541, + "step": 5015 + }, + { + "epoch": 0.15, + "learning_rate": 9.643242225120608e-06, + "loss": 0.6581, + "step": 5016 + }, + { + "epoch": 0.15, + "learning_rate": 9.643065712647638e-06, + "loss": 0.8932, + "step": 5017 + }, + { + "epoch": 0.15, + "learning_rate": 9.642889158135351e-06, + "loss": 0.7114, + "step": 5018 + }, + { + "epoch": 0.15, + "learning_rate": 9.642712561585346e-06, + "loss": 0.6377, + "step": 5019 + }, + { + "epoch": 0.15, + "learning_rate": 9.642535922999218e-06, + "loss": 0.9685, + "step": 5020 + }, + { + "epoch": 0.15, + "learning_rate": 9.64235924237857e-06, + "loss": 0.7576, + "step": 5021 + }, + { + "epoch": 0.15, + "learning_rate": 9.642182519724998e-06, + "loss": 0.8848, + "step": 5022 + }, + { + "epoch": 0.15, + "learning_rate": 9.642005755040106e-06, + "loss": 0.5855, + "step": 5023 + }, + { + "epoch": 0.15, + "learning_rate": 9.641828948325494e-06, + "loss": 0.909, + "step": 5024 + }, + { + "epoch": 0.15, + "learning_rate": 9.641652099582762e-06, + "loss": 0.7263, + "step": 5025 + }, + { + "epoch": 0.15, + "learning_rate": 9.641475208813509e-06, + "loss": 0.7047, + "step": 5026 + }, + { + "epoch": 0.15, + "learning_rate": 9.641298276019338e-06, + "loss": 0.9156, + "step": 5027 + }, + { + "epoch": 0.15, + "learning_rate": 9.641121301201854e-06, + "loss": 0.7064, + "step": 5028 + }, + { + "epoch": 0.15, + "learning_rate": 9.640944284362655e-06, + "loss": 0.856, + "step": 5029 + }, + { + "epoch": 0.15, + "learning_rate": 9.640767225503346e-06, + "loss": 0.7738, + "step": 5030 + }, + { + "epoch": 0.15, + "learning_rate": 9.640590124625531e-06, + "loss": 0.6987, + "step": 5031 + }, + { + "epoch": 0.15, + "learning_rate": 9.640412981730813e-06, + "loss": 0.7057, + "step": 5032 + }, + { + "epoch": 0.15, + "learning_rate": 9.640235796820794e-06, + "loss": 0.8139, + "step": 5033 + }, + { + "epoch": 0.15, + "learning_rate": 9.64005856989708e-06, + "loss": 0.7712, + "step": 5034 + }, + { + "epoch": 0.15, + "learning_rate": 9.639881300961274e-06, + "loss": 0.8267, + "step": 5035 + }, + { + "epoch": 0.15, + "learning_rate": 9.639703990014984e-06, + "loss": 0.8435, + "step": 5036 + }, + { + "epoch": 0.15, + "learning_rate": 9.639526637059811e-06, + "loss": 0.8715, + "step": 5037 + }, + { + "epoch": 0.15, + "learning_rate": 9.639349242097366e-06, + "loss": 0.8606, + "step": 5038 + }, + { + "epoch": 0.15, + "learning_rate": 9.63917180512925e-06, + "loss": 0.8567, + "step": 5039 + }, + { + "epoch": 0.15, + "learning_rate": 9.638994326157074e-06, + "loss": 0.7442, + "step": 5040 + }, + { + "epoch": 0.15, + "learning_rate": 9.638816805182444e-06, + "loss": 0.8283, + "step": 5041 + }, + { + "epoch": 0.15, + "learning_rate": 9.638639242206963e-06, + "loss": 0.9822, + "step": 5042 + }, + { + "epoch": 0.15, + "learning_rate": 9.638461637232245e-06, + "loss": 0.7731, + "step": 5043 + }, + { + "epoch": 0.15, + "learning_rate": 9.638283990259895e-06, + "loss": 0.6001, + "step": 5044 + }, + { + "epoch": 0.15, + "learning_rate": 9.638106301291522e-06, + "loss": 0.7064, + "step": 5045 + }, + { + "epoch": 0.15, + "learning_rate": 9.637928570328732e-06, + "loss": 0.6442, + "step": 5046 + }, + { + "epoch": 0.15, + "learning_rate": 9.637750797373138e-06, + "loss": 0.8031, + "step": 5047 + }, + { + "epoch": 0.15, + "learning_rate": 9.637572982426348e-06, + "loss": 0.8024, + "step": 5048 + }, + { + "epoch": 0.15, + "learning_rate": 9.637395125489972e-06, + "loss": 0.9439, + "step": 5049 + }, + { + "epoch": 0.15, + "learning_rate": 9.637217226565621e-06, + "loss": 0.863, + "step": 5050 + }, + { + "epoch": 0.15, + "learning_rate": 9.637039285654905e-06, + "loss": 0.5186, + "step": 5051 + }, + { + "epoch": 0.15, + "learning_rate": 9.636861302759436e-06, + "loss": 0.5907, + "step": 5052 + }, + { + "epoch": 0.15, + "learning_rate": 9.636683277880824e-06, + "loss": 0.8768, + "step": 5053 + }, + { + "epoch": 0.15, + "learning_rate": 9.636505211020683e-06, + "loss": 0.6377, + "step": 5054 + }, + { + "epoch": 0.15, + "learning_rate": 9.636327102180622e-06, + "loss": 0.7455, + "step": 5055 + }, + { + "epoch": 0.15, + "learning_rate": 9.636148951362258e-06, + "loss": 0.5779, + "step": 5056 + }, + { + "epoch": 0.15, + "learning_rate": 9.635970758567202e-06, + "loss": 0.916, + "step": 5057 + }, + { + "epoch": 0.15, + "learning_rate": 9.635792523797065e-06, + "loss": 0.6673, + "step": 5058 + }, + { + "epoch": 0.15, + "learning_rate": 9.635614247053462e-06, + "loss": 0.7278, + "step": 5059 + }, + { + "epoch": 0.15, + "learning_rate": 9.63543592833801e-06, + "loss": 0.6676, + "step": 5060 + }, + { + "epoch": 0.15, + "learning_rate": 9.635257567652321e-06, + "loss": 0.7388, + "step": 5061 + }, + { + "epoch": 0.15, + "learning_rate": 9.635079164998011e-06, + "loss": 0.9751, + "step": 5062 + }, + { + "epoch": 0.15, + "learning_rate": 9.634900720376695e-06, + "loss": 0.7206, + "step": 5063 + }, + { + "epoch": 0.15, + "learning_rate": 9.634722233789989e-06, + "loss": 0.5739, + "step": 5064 + }, + { + "epoch": 0.15, + "learning_rate": 9.634543705239506e-06, + "loss": 0.6306, + "step": 5065 + }, + { + "epoch": 0.15, + "learning_rate": 9.634365134726866e-06, + "loss": 0.8849, + "step": 5066 + }, + { + "epoch": 0.15, + "learning_rate": 9.634186522253686e-06, + "loss": 0.8025, + "step": 5067 + }, + { + "epoch": 0.15, + "learning_rate": 9.63400786782158e-06, + "loss": 0.7708, + "step": 5068 + }, + { + "epoch": 0.15, + "learning_rate": 9.633829171432169e-06, + "loss": 0.7715, + "step": 5069 + }, + { + "epoch": 0.15, + "learning_rate": 9.633650433087069e-06, + "loss": 0.6526, + "step": 5070 + }, + { + "epoch": 0.15, + "learning_rate": 9.633471652787898e-06, + "loss": 0.7348, + "step": 5071 + }, + { + "epoch": 0.15, + "learning_rate": 9.633292830536277e-06, + "loss": 0.6172, + "step": 5072 + }, + { + "epoch": 0.15, + "learning_rate": 9.633113966333824e-06, + "loss": 0.7141, + "step": 5073 + }, + { + "epoch": 0.15, + "learning_rate": 9.632935060182156e-06, + "loss": 0.5759, + "step": 5074 + }, + { + "epoch": 0.15, + "learning_rate": 9.632756112082896e-06, + "loss": 0.7573, + "step": 5075 + }, + { + "epoch": 0.15, + "learning_rate": 9.632577122037663e-06, + "loss": 0.7047, + "step": 5076 + }, + { + "epoch": 0.15, + "learning_rate": 9.632398090048078e-06, + "loss": 0.6638, + "step": 5077 + }, + { + "epoch": 0.15, + "learning_rate": 9.632219016115762e-06, + "loss": 0.7427, + "step": 5078 + }, + { + "epoch": 0.15, + "learning_rate": 9.632039900242336e-06, + "loss": 0.7937, + "step": 5079 + }, + { + "epoch": 0.15, + "learning_rate": 9.631860742429422e-06, + "loss": 0.8208, + "step": 5080 + }, + { + "epoch": 0.15, + "learning_rate": 9.631681542678642e-06, + "loss": 0.7298, + "step": 5081 + }, + { + "epoch": 0.15, + "learning_rate": 9.63150230099162e-06, + "loss": 0.9317, + "step": 5082 + }, + { + "epoch": 0.15, + "learning_rate": 9.631323017369974e-06, + "loss": 0.5836, + "step": 5083 + }, + { + "epoch": 0.15, + "learning_rate": 9.631143691815333e-06, + "loss": 0.6898, + "step": 5084 + }, + { + "epoch": 0.15, + "learning_rate": 9.630964324329318e-06, + "loss": 0.4636, + "step": 5085 + }, + { + "epoch": 0.15, + "learning_rate": 9.630784914913553e-06, + "loss": 0.6589, + "step": 5086 + }, + { + "epoch": 0.15, + "learning_rate": 9.630605463569664e-06, + "loss": 0.8119, + "step": 5087 + }, + { + "epoch": 0.15, + "learning_rate": 9.630425970299274e-06, + "loss": 0.9062, + "step": 5088 + }, + { + "epoch": 0.15, + "learning_rate": 9.630246435104009e-06, + "loss": 1.1124, + "step": 5089 + }, + { + "epoch": 0.15, + "learning_rate": 9.630066857985493e-06, + "loss": 0.7482, + "step": 5090 + }, + { + "epoch": 0.15, + "learning_rate": 9.629887238945355e-06, + "loss": 1.0566, + "step": 5091 + }, + { + "epoch": 0.15, + "learning_rate": 9.62970757798522e-06, + "loss": 0.6422, + "step": 5092 + }, + { + "epoch": 0.15, + "learning_rate": 9.629527875106713e-06, + "loss": 0.9925, + "step": 5093 + }, + { + "epoch": 0.15, + "learning_rate": 9.629348130311463e-06, + "loss": 0.8387, + "step": 5094 + }, + { + "epoch": 0.15, + "learning_rate": 9.629168343601097e-06, + "loss": 0.8731, + "step": 5095 + }, + { + "epoch": 0.15, + "learning_rate": 9.62898851497724e-06, + "loss": 0.96, + "step": 5096 + }, + { + "epoch": 0.15, + "learning_rate": 9.628808644441525e-06, + "loss": 0.6221, + "step": 5097 + }, + { + "epoch": 0.15, + "learning_rate": 9.628628731995578e-06, + "loss": 0.6833, + "step": 5098 + }, + { + "epoch": 0.15, + "learning_rate": 9.628448777641029e-06, + "loss": 0.4422, + "step": 5099 + }, + { + "epoch": 0.15, + "learning_rate": 9.628268781379506e-06, + "loss": 0.8442, + "step": 5100 + }, + { + "epoch": 0.15, + "learning_rate": 9.62808874321264e-06, + "loss": 0.7192, + "step": 5101 + }, + { + "epoch": 0.15, + "learning_rate": 9.62790866314206e-06, + "loss": 0.6747, + "step": 5102 + }, + { + "epoch": 0.15, + "learning_rate": 9.627728541169398e-06, + "loss": 0.6184, + "step": 5103 + }, + { + "epoch": 0.15, + "learning_rate": 9.627548377296283e-06, + "loss": 0.6716, + "step": 5104 + }, + { + "epoch": 0.15, + "learning_rate": 9.627368171524347e-06, + "loss": 1.0741, + "step": 5105 + }, + { + "epoch": 0.15, + "learning_rate": 9.627187923855223e-06, + "loss": 1.0018, + "step": 5106 + }, + { + "epoch": 0.15, + "learning_rate": 9.62700763429054e-06, + "loss": 0.7277, + "step": 5107 + }, + { + "epoch": 0.15, + "learning_rate": 9.626827302831934e-06, + "loss": 0.7812, + "step": 5108 + }, + { + "epoch": 0.15, + "learning_rate": 9.626646929481035e-06, + "loss": 0.7738, + "step": 5109 + }, + { + "epoch": 0.15, + "learning_rate": 9.626466514239476e-06, + "loss": 0.7074, + "step": 5110 + }, + { + "epoch": 0.15, + "learning_rate": 9.626286057108894e-06, + "loss": 0.7167, + "step": 5111 + }, + { + "epoch": 0.15, + "learning_rate": 9.62610555809092e-06, + "loss": 0.6383, + "step": 5112 + }, + { + "epoch": 0.15, + "learning_rate": 9.625925017187185e-06, + "loss": 0.9432, + "step": 5113 + }, + { + "epoch": 0.15, + "learning_rate": 9.625744434399331e-06, + "loss": 0.8298, + "step": 5114 + }, + { + "epoch": 0.15, + "learning_rate": 9.625563809728988e-06, + "loss": 0.7616, + "step": 5115 + }, + { + "epoch": 0.15, + "learning_rate": 9.625383143177794e-06, + "loss": 0.7356, + "step": 5116 + }, + { + "epoch": 0.15, + "learning_rate": 9.625202434747383e-06, + "loss": 0.6857, + "step": 5117 + }, + { + "epoch": 0.15, + "learning_rate": 9.625021684439392e-06, + "loss": 0.5758, + "step": 5118 + }, + { + "epoch": 0.15, + "learning_rate": 9.624840892255458e-06, + "loss": 0.6491, + "step": 5119 + }, + { + "epoch": 0.15, + "learning_rate": 9.624660058197216e-06, + "loss": 0.7267, + "step": 5120 + }, + { + "epoch": 0.15, + "learning_rate": 9.624479182266305e-06, + "loss": 0.8832, + "step": 5121 + }, + { + "epoch": 0.15, + "learning_rate": 9.624298264464362e-06, + "loss": 0.639, + "step": 5122 + }, + { + "epoch": 0.15, + "learning_rate": 9.624117304793025e-06, + "loss": 0.8465, + "step": 5123 + }, + { + "epoch": 0.15, + "learning_rate": 9.623936303253936e-06, + "loss": 0.8568, + "step": 5124 + }, + { + "epoch": 0.15, + "learning_rate": 9.623755259848727e-06, + "loss": 0.9108, + "step": 5125 + }, + { + "epoch": 0.15, + "learning_rate": 9.623574174579043e-06, + "loss": 0.6162, + "step": 5126 + }, + { + "epoch": 0.15, + "learning_rate": 9.623393047446521e-06, + "loss": 0.8904, + "step": 5127 + }, + { + "epoch": 0.15, + "learning_rate": 9.6232118784528e-06, + "loss": 0.9681, + "step": 5128 + }, + { + "epoch": 0.15, + "learning_rate": 9.623030667599522e-06, + "loss": 0.863, + "step": 5129 + }, + { + "epoch": 0.15, + "learning_rate": 9.62284941488833e-06, + "loss": 0.6646, + "step": 5130 + }, + { + "epoch": 0.15, + "learning_rate": 9.62266812032086e-06, + "loss": 0.6868, + "step": 5131 + }, + { + "epoch": 0.15, + "learning_rate": 9.622486783898757e-06, + "loss": 0.724, + "step": 5132 + }, + { + "epoch": 0.15, + "learning_rate": 9.622305405623661e-06, + "loss": 0.8133, + "step": 5133 + }, + { + "epoch": 0.15, + "learning_rate": 9.622123985497217e-06, + "loss": 0.9637, + "step": 5134 + }, + { + "epoch": 0.15, + "learning_rate": 9.621942523521063e-06, + "loss": 0.8069, + "step": 5135 + }, + { + "epoch": 0.15, + "learning_rate": 9.621761019696846e-06, + "loss": 0.9713, + "step": 5136 + }, + { + "epoch": 0.15, + "learning_rate": 9.621579474026207e-06, + "loss": 0.8493, + "step": 5137 + }, + { + "epoch": 0.15, + "learning_rate": 9.621397886510794e-06, + "loss": 0.7354, + "step": 5138 + }, + { + "epoch": 0.15, + "learning_rate": 9.621216257152246e-06, + "loss": 0.7052, + "step": 5139 + }, + { + "epoch": 0.15, + "learning_rate": 9.621034585952208e-06, + "loss": 0.9068, + "step": 5140 + }, + { + "epoch": 0.15, + "learning_rate": 9.62085287291233e-06, + "loss": 0.7485, + "step": 5141 + }, + { + "epoch": 0.15, + "learning_rate": 9.620671118034253e-06, + "loss": 0.8641, + "step": 5142 + }, + { + "epoch": 0.15, + "learning_rate": 9.620489321319621e-06, + "loss": 0.7292, + "step": 5143 + }, + { + "epoch": 0.15, + "learning_rate": 9.620307482770083e-06, + "loss": 1.1048, + "step": 5144 + }, + { + "epoch": 0.15, + "learning_rate": 9.620125602387287e-06, + "loss": 0.8556, + "step": 5145 + }, + { + "epoch": 0.15, + "learning_rate": 9.619943680172874e-06, + "loss": 0.7572, + "step": 5146 + }, + { + "epoch": 0.15, + "learning_rate": 9.619761716128497e-06, + "loss": 0.7494, + "step": 5147 + }, + { + "epoch": 0.15, + "learning_rate": 9.619579710255803e-06, + "loss": 0.9368, + "step": 5148 + }, + { + "epoch": 0.15, + "learning_rate": 9.619397662556434e-06, + "loss": 1.1999, + "step": 5149 + }, + { + "epoch": 0.15, + "learning_rate": 9.619215573032046e-06, + "loss": 0.5394, + "step": 5150 + }, + { + "epoch": 0.15, + "learning_rate": 9.619033441684283e-06, + "loss": 0.8106, + "step": 5151 + }, + { + "epoch": 0.15, + "learning_rate": 9.618851268514792e-06, + "loss": 1.0857, + "step": 5152 + }, + { + "epoch": 0.15, + "learning_rate": 9.618669053525228e-06, + "loss": 0.6387, + "step": 5153 + }, + { + "epoch": 0.15, + "learning_rate": 9.618486796717242e-06, + "loss": 0.7116, + "step": 5154 + }, + { + "epoch": 0.15, + "learning_rate": 9.618304498092476e-06, + "loss": 0.7948, + "step": 5155 + }, + { + "epoch": 0.15, + "learning_rate": 9.618122157652588e-06, + "loss": 0.7809, + "step": 5156 + }, + { + "epoch": 0.15, + "learning_rate": 9.617939775399225e-06, + "loss": 0.8573, + "step": 5157 + }, + { + "epoch": 0.15, + "learning_rate": 9.617757351334039e-06, + "loss": 0.7225, + "step": 5158 + }, + { + "epoch": 0.15, + "learning_rate": 9.617574885458683e-06, + "loss": 0.7069, + "step": 5159 + }, + { + "epoch": 0.15, + "learning_rate": 9.617392377774808e-06, + "loss": 0.6438, + "step": 5160 + }, + { + "epoch": 0.15, + "learning_rate": 9.617209828284066e-06, + "loss": 0.9488, + "step": 5161 + }, + { + "epoch": 0.15, + "learning_rate": 9.617027236988111e-06, + "loss": 0.6192, + "step": 5162 + }, + { + "epoch": 0.15, + "learning_rate": 9.616844603888597e-06, + "loss": 0.796, + "step": 5163 + }, + { + "epoch": 0.15, + "learning_rate": 9.616661928987175e-06, + "loss": 0.63, + "step": 5164 + }, + { + "epoch": 0.15, + "learning_rate": 9.6164792122855e-06, + "loss": 0.7177, + "step": 5165 + }, + { + "epoch": 0.15, + "learning_rate": 9.616296453785227e-06, + "loss": 0.6125, + "step": 5166 + }, + { + "epoch": 0.15, + "learning_rate": 9.616113653488013e-06, + "loss": 0.8003, + "step": 5167 + }, + { + "epoch": 0.15, + "learning_rate": 9.615930811395509e-06, + "loss": 0.7229, + "step": 5168 + }, + { + "epoch": 0.15, + "learning_rate": 9.615747927509372e-06, + "loss": 0.8732, + "step": 5169 + }, + { + "epoch": 0.15, + "learning_rate": 9.615565001831257e-06, + "loss": 0.561, + "step": 5170 + }, + { + "epoch": 0.15, + "learning_rate": 9.61538203436282e-06, + "loss": 1.2134, + "step": 5171 + }, + { + "epoch": 0.15, + "learning_rate": 9.615199025105722e-06, + "loss": 0.7545, + "step": 5172 + }, + { + "epoch": 0.15, + "learning_rate": 9.615015974061617e-06, + "loss": 0.664, + "step": 5173 + }, + { + "epoch": 0.15, + "learning_rate": 9.61483288123216e-06, + "loss": 0.6691, + "step": 5174 + }, + { + "epoch": 0.15, + "learning_rate": 9.614649746619011e-06, + "loss": 0.653, + "step": 5175 + }, + { + "epoch": 0.15, + "learning_rate": 9.61446657022383e-06, + "loss": 0.7029, + "step": 5176 + }, + { + "epoch": 0.15, + "learning_rate": 9.614283352048273e-06, + "loss": 0.8503, + "step": 5177 + }, + { + "epoch": 0.15, + "learning_rate": 9.614100092094e-06, + "loss": 0.9311, + "step": 5178 + }, + { + "epoch": 0.15, + "learning_rate": 9.613916790362667e-06, + "loss": 0.8205, + "step": 5179 + }, + { + "epoch": 0.15, + "learning_rate": 9.613733446855939e-06, + "loss": 0.7542, + "step": 5180 + }, + { + "epoch": 0.15, + "learning_rate": 9.613550061575474e-06, + "loss": 0.6514, + "step": 5181 + }, + { + "epoch": 0.15, + "learning_rate": 9.613366634522929e-06, + "loss": 0.832, + "step": 5182 + }, + { + "epoch": 0.15, + "learning_rate": 9.613183165699971e-06, + "loss": 0.7136, + "step": 5183 + }, + { + "epoch": 0.15, + "learning_rate": 9.612999655108256e-06, + "loss": 0.6294, + "step": 5184 + }, + { + "epoch": 0.15, + "learning_rate": 9.612816102749448e-06, + "loss": 0.6615, + "step": 5185 + }, + { + "epoch": 0.15, + "learning_rate": 9.612632508625208e-06, + "loss": 0.7718, + "step": 5186 + }, + { + "epoch": 0.15, + "learning_rate": 9.6124488727372e-06, + "loss": 0.8306, + "step": 5187 + }, + { + "epoch": 0.15, + "learning_rate": 9.612265195087082e-06, + "loss": 0.8959, + "step": 5188 + }, + { + "epoch": 0.15, + "learning_rate": 9.612081475676524e-06, + "loss": 0.8807, + "step": 5189 + }, + { + "epoch": 0.15, + "learning_rate": 9.611897714507184e-06, + "loss": 0.6482, + "step": 5190 + }, + { + "epoch": 0.15, + "learning_rate": 9.611713911580727e-06, + "loss": 0.7272, + "step": 5191 + }, + { + "epoch": 0.15, + "learning_rate": 9.61153006689882e-06, + "loss": 0.6461, + "step": 5192 + }, + { + "epoch": 0.15, + "learning_rate": 9.611346180463124e-06, + "loss": 0.7786, + "step": 5193 + }, + { + "epoch": 0.15, + "learning_rate": 9.611162252275305e-06, + "loss": 0.7686, + "step": 5194 + }, + { + "epoch": 0.15, + "learning_rate": 9.610978282337028e-06, + "loss": 0.7924, + "step": 5195 + }, + { + "epoch": 0.15, + "learning_rate": 9.61079427064996e-06, + "loss": 0.7273, + "step": 5196 + }, + { + "epoch": 0.15, + "learning_rate": 9.610610217215768e-06, + "loss": 0.774, + "step": 5197 + }, + { + "epoch": 0.15, + "learning_rate": 9.610426122036116e-06, + "loss": 0.6571, + "step": 5198 + }, + { + "epoch": 0.15, + "learning_rate": 9.610241985112672e-06, + "loss": 0.7912, + "step": 5199 + }, + { + "epoch": 0.15, + "learning_rate": 9.610057806447101e-06, + "loss": 0.624, + "step": 5200 + }, + { + "epoch": 0.15, + "learning_rate": 9.609873586041075e-06, + "loss": 0.7011, + "step": 5201 + }, + { + "epoch": 0.15, + "learning_rate": 9.609689323896258e-06, + "loss": 0.6166, + "step": 5202 + }, + { + "epoch": 0.15, + "learning_rate": 9.60950502001432e-06, + "loss": 0.8286, + "step": 5203 + }, + { + "epoch": 0.15, + "learning_rate": 9.60932067439693e-06, + "loss": 0.7924, + "step": 5204 + }, + { + "epoch": 0.15, + "learning_rate": 9.609136287045757e-06, + "loss": 0.7957, + "step": 5205 + }, + { + "epoch": 0.15, + "learning_rate": 9.608951857962469e-06, + "loss": 0.7763, + "step": 5206 + }, + { + "epoch": 0.15, + "learning_rate": 9.608767387148738e-06, + "loss": 0.9294, + "step": 5207 + }, + { + "epoch": 0.15, + "learning_rate": 9.608582874606233e-06, + "loss": 0.7566, + "step": 5208 + }, + { + "epoch": 0.15, + "learning_rate": 9.608398320336626e-06, + "loss": 0.5316, + "step": 5209 + }, + { + "epoch": 0.15, + "learning_rate": 9.608213724341586e-06, + "loss": 0.8749, + "step": 5210 + }, + { + "epoch": 0.15, + "learning_rate": 9.608029086622786e-06, + "loss": 0.7039, + "step": 5211 + }, + { + "epoch": 0.15, + "learning_rate": 9.607844407181894e-06, + "loss": 0.8316, + "step": 5212 + }, + { + "epoch": 0.15, + "learning_rate": 9.607659686020589e-06, + "loss": 0.6324, + "step": 5213 + }, + { + "epoch": 0.15, + "learning_rate": 9.607474923140538e-06, + "loss": 0.5879, + "step": 5214 + }, + { + "epoch": 0.15, + "learning_rate": 9.607290118543416e-06, + "loss": 0.6787, + "step": 5215 + }, + { + "epoch": 0.15, + "learning_rate": 9.607105272230894e-06, + "loss": 0.6894, + "step": 5216 + }, + { + "epoch": 0.15, + "learning_rate": 9.606920384204647e-06, + "loss": 0.7607, + "step": 5217 + }, + { + "epoch": 0.15, + "learning_rate": 9.606735454466353e-06, + "loss": 0.9682, + "step": 5218 + }, + { + "epoch": 0.15, + "learning_rate": 9.60655048301768e-06, + "loss": 0.8985, + "step": 5219 + }, + { + "epoch": 0.15, + "learning_rate": 9.606365469860307e-06, + "loss": 0.8032, + "step": 5220 + }, + { + "epoch": 0.15, + "learning_rate": 9.606180414995907e-06, + "loss": 0.8289, + "step": 5221 + }, + { + "epoch": 0.15, + "learning_rate": 9.605995318426157e-06, + "loss": 1.101, + "step": 5222 + }, + { + "epoch": 0.15, + "learning_rate": 9.605810180152732e-06, + "loss": 0.9626, + "step": 5223 + }, + { + "epoch": 0.15, + "learning_rate": 9.605625000177308e-06, + "loss": 0.67, + "step": 5224 + }, + { + "epoch": 0.15, + "learning_rate": 9.605439778501563e-06, + "loss": 0.7902, + "step": 5225 + }, + { + "epoch": 0.15, + "learning_rate": 9.605254515127171e-06, + "loss": 0.862, + "step": 5226 + }, + { + "epoch": 0.15, + "learning_rate": 9.605069210055813e-06, + "loss": 0.8023, + "step": 5227 + }, + { + "epoch": 0.15, + "learning_rate": 9.604883863289167e-06, + "loss": 0.7541, + "step": 5228 + }, + { + "epoch": 0.15, + "learning_rate": 9.604698474828907e-06, + "loss": 0.8206, + "step": 5229 + }, + { + "epoch": 0.15, + "learning_rate": 9.604513044676715e-06, + "loss": 0.6895, + "step": 5230 + }, + { + "epoch": 0.15, + "learning_rate": 9.604327572834268e-06, + "loss": 0.8177, + "step": 5231 + }, + { + "epoch": 0.15, + "learning_rate": 9.604142059303248e-06, + "loss": 0.9088, + "step": 5232 + }, + { + "epoch": 0.15, + "learning_rate": 9.603956504085332e-06, + "loss": 0.6986, + "step": 5233 + }, + { + "epoch": 0.15, + "learning_rate": 9.603770907182201e-06, + "loss": 0.7075, + "step": 5234 + }, + { + "epoch": 0.15, + "learning_rate": 9.603585268595536e-06, + "loss": 0.6625, + "step": 5235 + }, + { + "epoch": 0.15, + "learning_rate": 9.603399588327017e-06, + "loss": 0.7994, + "step": 5236 + }, + { + "epoch": 0.15, + "learning_rate": 9.603213866378326e-06, + "loss": 1.1355, + "step": 5237 + }, + { + "epoch": 0.15, + "learning_rate": 9.603028102751145e-06, + "loss": 0.7148, + "step": 5238 + }, + { + "epoch": 0.15, + "learning_rate": 9.602842297447153e-06, + "loss": 0.5319, + "step": 5239 + }, + { + "epoch": 0.15, + "learning_rate": 9.602656450468035e-06, + "loss": 0.5846, + "step": 5240 + }, + { + "epoch": 0.15, + "learning_rate": 9.602470561815473e-06, + "loss": 0.8197, + "step": 5241 + }, + { + "epoch": 0.15, + "learning_rate": 9.60228463149115e-06, + "loss": 0.9716, + "step": 5242 + }, + { + "epoch": 0.15, + "learning_rate": 9.60209865949675e-06, + "loss": 0.7207, + "step": 5243 + }, + { + "epoch": 0.15, + "learning_rate": 9.601912645833957e-06, + "loss": 0.8156, + "step": 5244 + }, + { + "epoch": 0.15, + "learning_rate": 9.601726590504453e-06, + "loss": 0.7765, + "step": 5245 + }, + { + "epoch": 0.15, + "learning_rate": 9.601540493509925e-06, + "loss": 0.8677, + "step": 5246 + }, + { + "epoch": 0.15, + "learning_rate": 9.601354354852058e-06, + "loss": 0.9181, + "step": 5247 + }, + { + "epoch": 0.15, + "learning_rate": 9.601168174532534e-06, + "loss": 0.5839, + "step": 5248 + }, + { + "epoch": 0.15, + "learning_rate": 9.600981952553044e-06, + "loss": 0.7603, + "step": 5249 + }, + { + "epoch": 0.15, + "learning_rate": 9.60079568891527e-06, + "loss": 0.6759, + "step": 5250 + }, + { + "epoch": 0.15, + "learning_rate": 9.600609383620899e-06, + "loss": 0.7338, + "step": 5251 + }, + { + "epoch": 0.15, + "learning_rate": 9.600423036671619e-06, + "loss": 0.8288, + "step": 5252 + }, + { + "epoch": 0.15, + "learning_rate": 9.600236648069116e-06, + "loss": 1.032, + "step": 5253 + }, + { + "epoch": 0.15, + "learning_rate": 9.60005021781508e-06, + "loss": 0.7861, + "step": 5254 + }, + { + "epoch": 0.15, + "learning_rate": 9.599863745911198e-06, + "loss": 0.9317, + "step": 5255 + }, + { + "epoch": 0.15, + "learning_rate": 9.599677232359157e-06, + "loss": 0.8454, + "step": 5256 + }, + { + "epoch": 0.15, + "learning_rate": 9.599490677160645e-06, + "loss": 0.7939, + "step": 5257 + }, + { + "epoch": 0.15, + "learning_rate": 9.599304080317354e-06, + "loss": 1.0828, + "step": 5258 + }, + { + "epoch": 0.15, + "learning_rate": 9.599117441830972e-06, + "loss": 1.0284, + "step": 5259 + }, + { + "epoch": 0.15, + "learning_rate": 9.59893076170319e-06, + "loss": 0.7088, + "step": 5260 + }, + { + "epoch": 0.15, + "learning_rate": 9.598744039935695e-06, + "loss": 0.7884, + "step": 5261 + }, + { + "epoch": 0.15, + "learning_rate": 9.598557276530181e-06, + "loss": 0.7005, + "step": 5262 + }, + { + "epoch": 0.15, + "learning_rate": 9.598370471488336e-06, + "loss": 0.6886, + "step": 5263 + }, + { + "epoch": 0.15, + "learning_rate": 9.598183624811857e-06, + "loss": 0.6332, + "step": 5264 + }, + { + "epoch": 0.15, + "learning_rate": 9.597996736502428e-06, + "loss": 0.8244, + "step": 5265 + }, + { + "epoch": 0.15, + "learning_rate": 9.597809806561748e-06, + "loss": 0.499, + "step": 5266 + }, + { + "epoch": 0.15, + "learning_rate": 9.597622834991504e-06, + "loss": 0.7336, + "step": 5267 + }, + { + "epoch": 0.15, + "learning_rate": 9.597435821793395e-06, + "loss": 0.7702, + "step": 5268 + }, + { + "epoch": 0.15, + "learning_rate": 9.597248766969108e-06, + "loss": 0.8767, + "step": 5269 + }, + { + "epoch": 0.15, + "learning_rate": 9.597061670520341e-06, + "loss": 0.7455, + "step": 5270 + }, + { + "epoch": 0.15, + "learning_rate": 9.596874532448783e-06, + "loss": 0.9299, + "step": 5271 + }, + { + "epoch": 0.15, + "learning_rate": 9.596687352756136e-06, + "loss": 0.9157, + "step": 5272 + }, + { + "epoch": 0.15, + "learning_rate": 9.596500131444088e-06, + "loss": 0.7957, + "step": 5273 + }, + { + "epoch": 0.15, + "learning_rate": 9.596312868514337e-06, + "loss": 0.8791, + "step": 5274 + }, + { + "epoch": 0.15, + "learning_rate": 9.596125563968578e-06, + "loss": 0.6887, + "step": 5275 + }, + { + "epoch": 0.16, + "learning_rate": 9.595938217808506e-06, + "loss": 0.8437, + "step": 5276 + }, + { + "epoch": 0.16, + "learning_rate": 9.595750830035822e-06, + "loss": 0.6718, + "step": 5277 + }, + { + "epoch": 0.16, + "learning_rate": 9.595563400652216e-06, + "loss": 0.8679, + "step": 5278 + }, + { + "epoch": 0.16, + "learning_rate": 9.59537592965939e-06, + "loss": 0.6055, + "step": 5279 + }, + { + "epoch": 0.16, + "learning_rate": 9.595188417059036e-06, + "loss": 0.8944, + "step": 5280 + }, + { + "epoch": 0.16, + "learning_rate": 9.595000862852858e-06, + "loss": 0.7417, + "step": 5281 + }, + { + "epoch": 0.16, + "learning_rate": 9.594813267042552e-06, + "loss": 0.9506, + "step": 5282 + }, + { + "epoch": 0.16, + "learning_rate": 9.594625629629815e-06, + "loss": 0.7729, + "step": 5283 + }, + { + "epoch": 0.16, + "learning_rate": 9.594437950616346e-06, + "loss": 0.6726, + "step": 5284 + }, + { + "epoch": 0.16, + "learning_rate": 9.594250230003845e-06, + "loss": 1.034, + "step": 5285 + }, + { + "epoch": 0.16, + "learning_rate": 9.594062467794013e-06, + "loss": 0.5808, + "step": 5286 + }, + { + "epoch": 0.16, + "learning_rate": 9.593874663988547e-06, + "loss": 1.0096, + "step": 5287 + }, + { + "epoch": 0.16, + "learning_rate": 9.59368681858915e-06, + "loss": 0.7939, + "step": 5288 + }, + { + "epoch": 0.16, + "learning_rate": 9.593498931597522e-06, + "loss": 0.7747, + "step": 5289 + }, + { + "epoch": 0.16, + "learning_rate": 9.593311003015365e-06, + "loss": 0.6479, + "step": 5290 + }, + { + "epoch": 0.16, + "learning_rate": 9.59312303284438e-06, + "loss": 1.0785, + "step": 5291 + }, + { + "epoch": 0.16, + "learning_rate": 9.592935021086267e-06, + "loss": 0.6394, + "step": 5292 + }, + { + "epoch": 0.16, + "learning_rate": 9.592746967742731e-06, + "loss": 0.637, + "step": 5293 + }, + { + "epoch": 0.16, + "learning_rate": 9.592558872815474e-06, + "loss": 0.6922, + "step": 5294 + }, + { + "epoch": 0.16, + "learning_rate": 9.592370736306198e-06, + "loss": 0.7233, + "step": 5295 + }, + { + "epoch": 0.16, + "learning_rate": 9.592182558216607e-06, + "loss": 0.8241, + "step": 5296 + }, + { + "epoch": 0.16, + "learning_rate": 9.591994338548404e-06, + "loss": 0.9624, + "step": 5297 + }, + { + "epoch": 0.16, + "learning_rate": 9.591806077303295e-06, + "loss": 0.6997, + "step": 5298 + }, + { + "epoch": 0.16, + "learning_rate": 9.591617774482984e-06, + "loss": 0.6134, + "step": 5299 + }, + { + "epoch": 0.16, + "learning_rate": 9.591429430089175e-06, + "loss": 0.6939, + "step": 5300 + }, + { + "epoch": 0.16, + "learning_rate": 9.591241044123574e-06, + "loss": 0.7861, + "step": 5301 + }, + { + "epoch": 0.16, + "learning_rate": 9.591052616587887e-06, + "loss": 0.8724, + "step": 5302 + }, + { + "epoch": 0.16, + "learning_rate": 9.59086414748382e-06, + "loss": 0.96, + "step": 5303 + }, + { + "epoch": 0.16, + "learning_rate": 9.590675636813078e-06, + "loss": 0.6457, + "step": 5304 + }, + { + "epoch": 0.16, + "learning_rate": 9.590487084577368e-06, + "loss": 0.7546, + "step": 5305 + }, + { + "epoch": 0.16, + "learning_rate": 9.590298490778401e-06, + "loss": 0.7312, + "step": 5306 + }, + { + "epoch": 0.16, + "learning_rate": 9.59010985541788e-06, + "loss": 0.7074, + "step": 5307 + }, + { + "epoch": 0.16, + "learning_rate": 9.589921178497515e-06, + "loss": 0.8106, + "step": 5308 + }, + { + "epoch": 0.16, + "learning_rate": 9.589732460019013e-06, + "loss": 0.8413, + "step": 5309 + }, + { + "epoch": 0.16, + "learning_rate": 9.589543699984083e-06, + "loss": 0.8222, + "step": 5310 + }, + { + "epoch": 0.16, + "learning_rate": 9.589354898394436e-06, + "loss": 1.0509, + "step": 5311 + }, + { + "epoch": 0.16, + "learning_rate": 9.58916605525178e-06, + "loss": 0.6378, + "step": 5312 + }, + { + "epoch": 0.16, + "learning_rate": 9.588977170557825e-06, + "loss": 0.6606, + "step": 5313 + }, + { + "epoch": 0.16, + "learning_rate": 9.588788244314281e-06, + "loss": 0.7773, + "step": 5314 + }, + { + "epoch": 0.16, + "learning_rate": 9.58859927652286e-06, + "loss": 0.5609, + "step": 5315 + }, + { + "epoch": 0.16, + "learning_rate": 9.588410267185268e-06, + "loss": 0.6798, + "step": 5316 + }, + { + "epoch": 0.16, + "learning_rate": 9.588221216303224e-06, + "loss": 0.8145, + "step": 5317 + }, + { + "epoch": 0.16, + "learning_rate": 9.588032123878434e-06, + "loss": 0.9324, + "step": 5318 + }, + { + "epoch": 0.16, + "learning_rate": 9.587842989912613e-06, + "loss": 0.519, + "step": 5319 + }, + { + "epoch": 0.16, + "learning_rate": 9.58765381440747e-06, + "loss": 0.7641, + "step": 5320 + }, + { + "epoch": 0.16, + "learning_rate": 9.587464597364722e-06, + "loss": 0.8521, + "step": 5321 + }, + { + "epoch": 0.16, + "learning_rate": 9.58727533878608e-06, + "loss": 0.7119, + "step": 5322 + }, + { + "epoch": 0.16, + "learning_rate": 9.587086038673256e-06, + "loss": 0.867, + "step": 5323 + }, + { + "epoch": 0.16, + "learning_rate": 9.58689669702797e-06, + "loss": 0.6298, + "step": 5324 + }, + { + "epoch": 0.16, + "learning_rate": 9.586707313851928e-06, + "loss": 0.9257, + "step": 5325 + }, + { + "epoch": 0.16, + "learning_rate": 9.586517889146851e-06, + "loss": 0.5923, + "step": 5326 + }, + { + "epoch": 0.16, + "learning_rate": 9.586328422914453e-06, + "loss": 0.7324, + "step": 5327 + }, + { + "epoch": 0.16, + "learning_rate": 9.586138915156446e-06, + "loss": 0.9299, + "step": 5328 + }, + { + "epoch": 0.16, + "learning_rate": 9.58594936587455e-06, + "loss": 0.6899, + "step": 5329 + }, + { + "epoch": 0.16, + "learning_rate": 9.58575977507048e-06, + "loss": 0.7129, + "step": 5330 + }, + { + "epoch": 0.16, + "learning_rate": 9.58557014274595e-06, + "loss": 0.8014, + "step": 5331 + }, + { + "epoch": 0.16, + "learning_rate": 9.585380468902681e-06, + "loss": 1.0267, + "step": 5332 + }, + { + "epoch": 0.16, + "learning_rate": 9.585190753542389e-06, + "loss": 0.6599, + "step": 5333 + }, + { + "epoch": 0.16, + "learning_rate": 9.58500099666679e-06, + "loss": 0.8377, + "step": 5334 + }, + { + "epoch": 0.16, + "learning_rate": 9.584811198277603e-06, + "loss": 0.7938, + "step": 5335 + }, + { + "epoch": 0.16, + "learning_rate": 9.584621358376547e-06, + "loss": 0.8634, + "step": 5336 + }, + { + "epoch": 0.16, + "learning_rate": 9.584431476965341e-06, + "loss": 0.6937, + "step": 5337 + }, + { + "epoch": 0.16, + "learning_rate": 9.584241554045704e-06, + "loss": 0.7109, + "step": 5338 + }, + { + "epoch": 0.16, + "learning_rate": 9.584051589619355e-06, + "loss": 0.827, + "step": 5339 + }, + { + "epoch": 0.16, + "learning_rate": 9.583861583688015e-06, + "loss": 0.7491, + "step": 5340 + }, + { + "epoch": 0.16, + "learning_rate": 9.583671536253403e-06, + "loss": 1.0399, + "step": 5341 + }, + { + "epoch": 0.16, + "learning_rate": 9.58348144731724e-06, + "loss": 0.7649, + "step": 5342 + }, + { + "epoch": 0.16, + "learning_rate": 9.583291316881248e-06, + "loss": 0.5806, + "step": 5343 + }, + { + "epoch": 0.16, + "learning_rate": 9.583101144947149e-06, + "loss": 0.6711, + "step": 5344 + }, + { + "epoch": 0.16, + "learning_rate": 9.582910931516664e-06, + "loss": 0.8733, + "step": 5345 + }, + { + "epoch": 0.16, + "learning_rate": 9.582720676591514e-06, + "loss": 0.792, + "step": 5346 + }, + { + "epoch": 0.16, + "learning_rate": 9.582530380173426e-06, + "loss": 0.788, + "step": 5347 + }, + { + "epoch": 0.16, + "learning_rate": 9.582340042264116e-06, + "loss": 0.7496, + "step": 5348 + }, + { + "epoch": 0.16, + "learning_rate": 9.582149662865313e-06, + "loss": 0.8421, + "step": 5349 + }, + { + "epoch": 0.16, + "learning_rate": 9.581959241978738e-06, + "loss": 0.5658, + "step": 5350 + }, + { + "epoch": 0.16, + "learning_rate": 9.581768779606117e-06, + "loss": 0.6445, + "step": 5351 + }, + { + "epoch": 0.16, + "learning_rate": 9.581578275749173e-06, + "loss": 0.6826, + "step": 5352 + }, + { + "epoch": 0.16, + "learning_rate": 9.58138773040963e-06, + "loss": 0.4412, + "step": 5353 + }, + { + "epoch": 0.16, + "learning_rate": 9.581197143589216e-06, + "loss": 1.0308, + "step": 5354 + }, + { + "epoch": 0.16, + "learning_rate": 9.581006515289656e-06, + "loss": 0.9125, + "step": 5355 + }, + { + "epoch": 0.16, + "learning_rate": 9.580815845512675e-06, + "loss": 0.7798, + "step": 5356 + }, + { + "epoch": 0.16, + "learning_rate": 9.580625134259997e-06, + "loss": 0.809, + "step": 5357 + }, + { + "epoch": 0.16, + "learning_rate": 9.580434381533354e-06, + "loss": 0.8736, + "step": 5358 + }, + { + "epoch": 0.16, + "learning_rate": 9.58024358733447e-06, + "loss": 0.8808, + "step": 5359 + }, + { + "epoch": 0.16, + "learning_rate": 9.580052751665073e-06, + "loss": 0.6844, + "step": 5360 + }, + { + "epoch": 0.16, + "learning_rate": 9.579861874526891e-06, + "loss": 0.9578, + "step": 5361 + }, + { + "epoch": 0.16, + "learning_rate": 9.579670955921649e-06, + "loss": 0.5939, + "step": 5362 + }, + { + "epoch": 0.16, + "learning_rate": 9.579479995851083e-06, + "loss": 0.7478, + "step": 5363 + }, + { + "epoch": 0.16, + "learning_rate": 9.579288994316914e-06, + "loss": 1.0044, + "step": 5364 + }, + { + "epoch": 0.16, + "learning_rate": 9.579097951320877e-06, + "loss": 0.6193, + "step": 5365 + }, + { + "epoch": 0.16, + "learning_rate": 9.5789068668647e-06, + "loss": 0.8016, + "step": 5366 + }, + { + "epoch": 0.16, + "learning_rate": 9.57871574095011e-06, + "loss": 0.5059, + "step": 5367 + }, + { + "epoch": 0.16, + "learning_rate": 9.578524573578844e-06, + "loss": 0.6098, + "step": 5368 + }, + { + "epoch": 0.16, + "learning_rate": 9.578333364752627e-06, + "loss": 0.8766, + "step": 5369 + }, + { + "epoch": 0.16, + "learning_rate": 9.578142114473193e-06, + "loss": 0.7549, + "step": 5370 + }, + { + "epoch": 0.16, + "learning_rate": 9.577950822742275e-06, + "loss": 0.861, + "step": 5371 + }, + { + "epoch": 0.16, + "learning_rate": 9.5777594895616e-06, + "loss": 0.8608, + "step": 5372 + }, + { + "epoch": 0.16, + "learning_rate": 9.577568114932905e-06, + "loss": 0.6966, + "step": 5373 + }, + { + "epoch": 0.16, + "learning_rate": 9.577376698857922e-06, + "loss": 0.7384, + "step": 5374 + }, + { + "epoch": 0.16, + "learning_rate": 9.577185241338382e-06, + "loss": 0.929, + "step": 5375 + }, + { + "epoch": 0.16, + "learning_rate": 9.57699374237602e-06, + "loss": 0.9228, + "step": 5376 + }, + { + "epoch": 0.16, + "learning_rate": 9.57680220197257e-06, + "loss": 0.7533, + "step": 5377 + }, + { + "epoch": 0.16, + "learning_rate": 9.576610620129766e-06, + "loss": 0.8236, + "step": 5378 + }, + { + "epoch": 0.16, + "learning_rate": 9.576418996849343e-06, + "loss": 1.0766, + "step": 5379 + }, + { + "epoch": 0.16, + "learning_rate": 9.576227332133035e-06, + "loss": 0.6468, + "step": 5380 + }, + { + "epoch": 0.16, + "learning_rate": 9.576035625982578e-06, + "loss": 1.1129, + "step": 5381 + }, + { + "epoch": 0.16, + "learning_rate": 9.575843878399707e-06, + "loss": 0.6126, + "step": 5382 + }, + { + "epoch": 0.16, + "learning_rate": 9.57565208938616e-06, + "loss": 0.828, + "step": 5383 + }, + { + "epoch": 0.16, + "learning_rate": 9.575460258943671e-06, + "loss": 0.997, + "step": 5384 + }, + { + "epoch": 0.16, + "learning_rate": 9.57526838707398e-06, + "loss": 0.6634, + "step": 5385 + }, + { + "epoch": 0.16, + "learning_rate": 9.575076473778821e-06, + "loss": 0.583, + "step": 5386 + }, + { + "epoch": 0.16, + "learning_rate": 9.574884519059933e-06, + "loss": 0.8128, + "step": 5387 + }, + { + "epoch": 0.16, + "learning_rate": 9.574692522919056e-06, + "loss": 0.7701, + "step": 5388 + }, + { + "epoch": 0.16, + "learning_rate": 9.574500485357925e-06, + "loss": 0.7958, + "step": 5389 + }, + { + "epoch": 0.16, + "learning_rate": 9.57430840637828e-06, + "loss": 1.0962, + "step": 5390 + }, + { + "epoch": 0.16, + "learning_rate": 9.574116285981861e-06, + "loss": 0.7921, + "step": 5391 + }, + { + "epoch": 0.16, + "learning_rate": 9.573924124170406e-06, + "loss": 0.8321, + "step": 5392 + }, + { + "epoch": 0.16, + "learning_rate": 9.573731920945656e-06, + "loss": 0.8935, + "step": 5393 + }, + { + "epoch": 0.16, + "learning_rate": 9.573539676309351e-06, + "loss": 0.5907, + "step": 5394 + }, + { + "epoch": 0.16, + "learning_rate": 9.573347390263233e-06, + "loss": 0.7817, + "step": 5395 + }, + { + "epoch": 0.16, + "learning_rate": 9.573155062809038e-06, + "loss": 0.7879, + "step": 5396 + }, + { + "epoch": 0.16, + "learning_rate": 9.572962693948514e-06, + "loss": 0.7831, + "step": 5397 + }, + { + "epoch": 0.16, + "learning_rate": 9.5727702836834e-06, + "loss": 1.2274, + "step": 5398 + }, + { + "epoch": 0.16, + "learning_rate": 9.572577832015435e-06, + "loss": 0.8191, + "step": 5399 + }, + { + "epoch": 0.16, + "learning_rate": 9.572385338946365e-06, + "loss": 0.9069, + "step": 5400 + }, + { + "epoch": 0.16, + "learning_rate": 9.572192804477935e-06, + "loss": 0.6741, + "step": 5401 + }, + { + "epoch": 0.16, + "learning_rate": 9.572000228611883e-06, + "loss": 0.6914, + "step": 5402 + }, + { + "epoch": 0.16, + "learning_rate": 9.571807611349956e-06, + "loss": 0.7694, + "step": 5403 + }, + { + "epoch": 0.16, + "learning_rate": 9.571614952693897e-06, + "loss": 0.6016, + "step": 5404 + }, + { + "epoch": 0.16, + "learning_rate": 9.57142225264545e-06, + "loss": 0.5491, + "step": 5405 + }, + { + "epoch": 0.16, + "learning_rate": 9.571229511206361e-06, + "loss": 0.7231, + "step": 5406 + }, + { + "epoch": 0.16, + "learning_rate": 9.571036728378372e-06, + "loss": 0.7352, + "step": 5407 + }, + { + "epoch": 0.16, + "learning_rate": 9.570843904163233e-06, + "loss": 0.5836, + "step": 5408 + }, + { + "epoch": 0.16, + "learning_rate": 9.570651038562687e-06, + "loss": 0.8075, + "step": 5409 + }, + { + "epoch": 0.16, + "learning_rate": 9.570458131578482e-06, + "loss": 0.7142, + "step": 5410 + }, + { + "epoch": 0.16, + "learning_rate": 9.570265183212362e-06, + "loss": 0.6115, + "step": 5411 + }, + { + "epoch": 0.16, + "learning_rate": 9.570072193466076e-06, + "loss": 0.8495, + "step": 5412 + }, + { + "epoch": 0.16, + "learning_rate": 9.569879162341371e-06, + "loss": 0.8917, + "step": 5413 + }, + { + "epoch": 0.16, + "learning_rate": 9.569686089839993e-06, + "loss": 0.9342, + "step": 5414 + }, + { + "epoch": 0.16, + "learning_rate": 9.569492975963695e-06, + "loss": 0.7639, + "step": 5415 + }, + { + "epoch": 0.16, + "learning_rate": 9.56929982071422e-06, + "loss": 0.8459, + "step": 5416 + }, + { + "epoch": 0.16, + "learning_rate": 9.56910662409332e-06, + "loss": 0.7105, + "step": 5417 + }, + { + "epoch": 0.16, + "learning_rate": 9.568913386102743e-06, + "loss": 0.4922, + "step": 5418 + }, + { + "epoch": 0.16, + "learning_rate": 9.568720106744237e-06, + "loss": 0.4605, + "step": 5419 + }, + { + "epoch": 0.16, + "learning_rate": 9.56852678601956e-06, + "loss": 1.0097, + "step": 5420 + }, + { + "epoch": 0.16, + "learning_rate": 9.56833342393045e-06, + "loss": 0.8415, + "step": 5421 + }, + { + "epoch": 0.16, + "learning_rate": 9.568140020478667e-06, + "loss": 1.0181, + "step": 5422 + }, + { + "epoch": 0.16, + "learning_rate": 9.567946575665959e-06, + "loss": 0.5385, + "step": 5423 + }, + { + "epoch": 0.16, + "learning_rate": 9.567753089494077e-06, + "loss": 0.746, + "step": 5424 + }, + { + "epoch": 0.16, + "learning_rate": 9.567559561964774e-06, + "loss": 0.9045, + "step": 5425 + }, + { + "epoch": 0.16, + "learning_rate": 9.567365993079803e-06, + "loss": 0.7417, + "step": 5426 + }, + { + "epoch": 0.16, + "learning_rate": 9.567172382840914e-06, + "loss": 0.9379, + "step": 5427 + }, + { + "epoch": 0.16, + "learning_rate": 9.56697873124986e-06, + "loss": 1.1026, + "step": 5428 + }, + { + "epoch": 0.16, + "learning_rate": 9.566785038308399e-06, + "loss": 0.7114, + "step": 5429 + }, + { + "epoch": 0.16, + "learning_rate": 9.56659130401828e-06, + "loss": 0.7082, + "step": 5430 + }, + { + "epoch": 0.16, + "learning_rate": 9.566397528381259e-06, + "loss": 0.7711, + "step": 5431 + }, + { + "epoch": 0.16, + "learning_rate": 9.56620371139909e-06, + "loss": 0.7432, + "step": 5432 + }, + { + "epoch": 0.16, + "learning_rate": 9.566009853073526e-06, + "loss": 1.0247, + "step": 5433 + }, + { + "epoch": 0.16, + "learning_rate": 9.565815953406326e-06, + "loss": 0.8, + "step": 5434 + }, + { + "epoch": 0.16, + "learning_rate": 9.565622012399245e-06, + "loss": 0.7543, + "step": 5435 + }, + { + "epoch": 0.16, + "learning_rate": 9.565428030054037e-06, + "loss": 0.5673, + "step": 5436 + }, + { + "epoch": 0.16, + "learning_rate": 9.565234006372457e-06, + "loss": 0.4837, + "step": 5437 + }, + { + "epoch": 0.16, + "learning_rate": 9.565039941356267e-06, + "loss": 0.7007, + "step": 5438 + }, + { + "epoch": 0.16, + "learning_rate": 9.564845835007219e-06, + "loss": 0.7659, + "step": 5439 + }, + { + "epoch": 0.16, + "learning_rate": 9.564651687327073e-06, + "loss": 0.7076, + "step": 5440 + }, + { + "epoch": 0.16, + "learning_rate": 9.564457498317586e-06, + "loss": 1.0173, + "step": 5441 + }, + { + "epoch": 0.16, + "learning_rate": 9.564263267980518e-06, + "loss": 0.9364, + "step": 5442 + }, + { + "epoch": 0.16, + "learning_rate": 9.564068996317625e-06, + "loss": 0.8003, + "step": 5443 + }, + { + "epoch": 0.16, + "learning_rate": 9.563874683330668e-06, + "loss": 0.7277, + "step": 5444 + }, + { + "epoch": 0.16, + "learning_rate": 9.563680329021403e-06, + "loss": 0.7879, + "step": 5445 + }, + { + "epoch": 0.16, + "learning_rate": 9.563485933391595e-06, + "loss": 0.8353, + "step": 5446 + }, + { + "epoch": 0.16, + "learning_rate": 9.563291496442999e-06, + "loss": 0.7526, + "step": 5447 + }, + { + "epoch": 0.16, + "learning_rate": 9.563097018177381e-06, + "loss": 0.9277, + "step": 5448 + }, + { + "epoch": 0.16, + "learning_rate": 9.562902498596497e-06, + "loss": 0.7973, + "step": 5449 + }, + { + "epoch": 0.16, + "learning_rate": 9.562707937702108e-06, + "loss": 0.5493, + "step": 5450 + }, + { + "epoch": 0.16, + "learning_rate": 9.56251333549598e-06, + "loss": 0.9651, + "step": 5451 + }, + { + "epoch": 0.16, + "learning_rate": 9.56231869197987e-06, + "loss": 1.1763, + "step": 5452 + }, + { + "epoch": 0.16, + "learning_rate": 9.562124007155545e-06, + "loss": 0.6733, + "step": 5453 + }, + { + "epoch": 0.16, + "learning_rate": 9.561929281024764e-06, + "loss": 0.8157, + "step": 5454 + }, + { + "epoch": 0.16, + "learning_rate": 9.561734513589293e-06, + "loss": 0.8243, + "step": 5455 + }, + { + "epoch": 0.16, + "learning_rate": 9.561539704850894e-06, + "loss": 0.7178, + "step": 5456 + }, + { + "epoch": 0.16, + "learning_rate": 9.56134485481133e-06, + "loss": 0.8632, + "step": 5457 + }, + { + "epoch": 0.16, + "learning_rate": 9.561149963472367e-06, + "loss": 0.8587, + "step": 5458 + }, + { + "epoch": 0.16, + "learning_rate": 9.560955030835768e-06, + "loss": 0.6039, + "step": 5459 + }, + { + "epoch": 0.16, + "learning_rate": 9.5607600569033e-06, + "loss": 1.074, + "step": 5460 + }, + { + "epoch": 0.16, + "learning_rate": 9.560565041676724e-06, + "loss": 0.5645, + "step": 5461 + }, + { + "epoch": 0.16, + "learning_rate": 9.560369985157811e-06, + "loss": 0.9942, + "step": 5462 + }, + { + "epoch": 0.16, + "learning_rate": 9.560174887348323e-06, + "loss": 0.6443, + "step": 5463 + }, + { + "epoch": 0.16, + "learning_rate": 9.55997974825003e-06, + "loss": 1.0556, + "step": 5464 + }, + { + "epoch": 0.16, + "learning_rate": 9.559784567864697e-06, + "loss": 0.7079, + "step": 5465 + }, + { + "epoch": 0.16, + "learning_rate": 9.55958934619409e-06, + "loss": 0.9415, + "step": 5466 + }, + { + "epoch": 0.16, + "learning_rate": 9.55939408323998e-06, + "loss": 0.6495, + "step": 5467 + }, + { + "epoch": 0.16, + "learning_rate": 9.55919877900413e-06, + "loss": 0.6499, + "step": 5468 + }, + { + "epoch": 0.16, + "learning_rate": 9.559003433488314e-06, + "loss": 0.7885, + "step": 5469 + }, + { + "epoch": 0.16, + "learning_rate": 9.558808046694296e-06, + "loss": 0.6604, + "step": 5470 + }, + { + "epoch": 0.16, + "learning_rate": 9.558612618623848e-06, + "loss": 0.7607, + "step": 5471 + }, + { + "epoch": 0.16, + "learning_rate": 9.558417149278738e-06, + "loss": 0.8002, + "step": 5472 + }, + { + "epoch": 0.16, + "learning_rate": 9.558221638660737e-06, + "loss": 0.9794, + "step": 5473 + }, + { + "epoch": 0.16, + "learning_rate": 9.558026086771612e-06, + "loss": 0.8414, + "step": 5474 + }, + { + "epoch": 0.16, + "learning_rate": 9.557830493613138e-06, + "loss": 0.5643, + "step": 5475 + }, + { + "epoch": 0.16, + "learning_rate": 9.557634859187083e-06, + "loss": 0.5705, + "step": 5476 + }, + { + "epoch": 0.16, + "learning_rate": 9.55743918349522e-06, + "loss": 0.8485, + "step": 5477 + }, + { + "epoch": 0.16, + "learning_rate": 9.557243466539318e-06, + "loss": 0.9566, + "step": 5478 + }, + { + "epoch": 0.16, + "learning_rate": 9.557047708321153e-06, + "loss": 0.7216, + "step": 5479 + }, + { + "epoch": 0.16, + "learning_rate": 9.556851908842494e-06, + "loss": 0.9229, + "step": 5480 + }, + { + "epoch": 0.16, + "learning_rate": 9.556656068105117e-06, + "loss": 0.6771, + "step": 5481 + }, + { + "epoch": 0.16, + "learning_rate": 9.556460186110792e-06, + "loss": 0.8715, + "step": 5482 + }, + { + "epoch": 0.16, + "learning_rate": 9.556264262861295e-06, + "loss": 0.5613, + "step": 5483 + }, + { + "epoch": 0.16, + "learning_rate": 9.556068298358398e-06, + "loss": 0.6161, + "step": 5484 + }, + { + "epoch": 0.16, + "learning_rate": 9.555872292603875e-06, + "loss": 1.0423, + "step": 5485 + }, + { + "epoch": 0.16, + "learning_rate": 9.555676245599504e-06, + "loss": 0.5144, + "step": 5486 + }, + { + "epoch": 0.16, + "learning_rate": 9.555480157347057e-06, + "loss": 0.6737, + "step": 5487 + }, + { + "epoch": 0.16, + "learning_rate": 9.55528402784831e-06, + "loss": 0.9963, + "step": 5488 + }, + { + "epoch": 0.16, + "learning_rate": 9.55508785710504e-06, + "loss": 0.7499, + "step": 5489 + }, + { + "epoch": 0.16, + "learning_rate": 9.554891645119022e-06, + "loss": 1.0242, + "step": 5490 + }, + { + "epoch": 0.16, + "learning_rate": 9.554695391892033e-06, + "loss": 0.9172, + "step": 5491 + }, + { + "epoch": 0.16, + "learning_rate": 9.55449909742585e-06, + "loss": 0.9702, + "step": 5492 + }, + { + "epoch": 0.16, + "learning_rate": 9.55430276172225e-06, + "loss": 0.7231, + "step": 5493 + }, + { + "epoch": 0.16, + "learning_rate": 9.55410638478301e-06, + "loss": 0.632, + "step": 5494 + }, + { + "epoch": 0.16, + "learning_rate": 9.55390996660991e-06, + "loss": 0.8825, + "step": 5495 + }, + { + "epoch": 0.16, + "learning_rate": 9.553713507204725e-06, + "loss": 0.8196, + "step": 5496 + }, + { + "epoch": 0.16, + "learning_rate": 9.553517006569238e-06, + "loss": 0.7628, + "step": 5497 + }, + { + "epoch": 0.16, + "learning_rate": 9.553320464705225e-06, + "loss": 0.7669, + "step": 5498 + }, + { + "epoch": 0.16, + "learning_rate": 9.553123881614468e-06, + "loss": 1.0035, + "step": 5499 + }, + { + "epoch": 0.16, + "learning_rate": 9.552927257298745e-06, + "loss": 1.002, + "step": 5500 + }, + { + "epoch": 0.16, + "learning_rate": 9.552730591759836e-06, + "loss": 0.7089, + "step": 5501 + }, + { + "epoch": 0.16, + "learning_rate": 9.552533884999523e-06, + "loss": 0.5353, + "step": 5502 + }, + { + "epoch": 0.16, + "learning_rate": 9.552337137019588e-06, + "loss": 0.7489, + "step": 5503 + }, + { + "epoch": 0.16, + "learning_rate": 9.552140347821807e-06, + "loss": 0.652, + "step": 5504 + }, + { + "epoch": 0.16, + "learning_rate": 9.551943517407969e-06, + "loss": 0.68, + "step": 5505 + }, + { + "epoch": 0.16, + "learning_rate": 9.551746645779853e-06, + "loss": 0.7708, + "step": 5506 + }, + { + "epoch": 0.16, + "learning_rate": 9.55154973293924e-06, + "loss": 0.6647, + "step": 5507 + }, + { + "epoch": 0.16, + "learning_rate": 9.551352778887915e-06, + "loss": 0.5808, + "step": 5508 + }, + { + "epoch": 0.16, + "learning_rate": 9.551155783627659e-06, + "loss": 0.8034, + "step": 5509 + }, + { + "epoch": 0.16, + "learning_rate": 9.550958747160259e-06, + "loss": 0.9794, + "step": 5510 + }, + { + "epoch": 0.16, + "learning_rate": 9.550761669487496e-06, + "loss": 0.7283, + "step": 5511 + }, + { + "epoch": 0.16, + "learning_rate": 9.550564550611156e-06, + "loss": 0.8718, + "step": 5512 + }, + { + "epoch": 0.16, + "learning_rate": 9.550367390533025e-06, + "loss": 0.9749, + "step": 5513 + }, + { + "epoch": 0.16, + "learning_rate": 9.550170189254884e-06, + "loss": 0.6555, + "step": 5514 + }, + { + "epoch": 0.16, + "learning_rate": 9.549972946778522e-06, + "loss": 0.7004, + "step": 5515 + }, + { + "epoch": 0.16, + "learning_rate": 9.549775663105724e-06, + "loss": 0.73, + "step": 5516 + }, + { + "epoch": 0.16, + "learning_rate": 9.549578338238275e-06, + "loss": 0.6831, + "step": 5517 + }, + { + "epoch": 0.16, + "learning_rate": 9.549380972177965e-06, + "loss": 0.7171, + "step": 5518 + }, + { + "epoch": 0.16, + "learning_rate": 9.549183564926576e-06, + "loss": 0.7182, + "step": 5519 + }, + { + "epoch": 0.16, + "learning_rate": 9.548986116485898e-06, + "loss": 0.7083, + "step": 5520 + }, + { + "epoch": 0.16, + "learning_rate": 9.548788626857722e-06, + "loss": 0.8455, + "step": 5521 + }, + { + "epoch": 0.16, + "learning_rate": 9.548591096043828e-06, + "loss": 0.6329, + "step": 5522 + }, + { + "epoch": 0.16, + "learning_rate": 9.548393524046014e-06, + "loss": 0.5706, + "step": 5523 + }, + { + "epoch": 0.16, + "learning_rate": 9.548195910866062e-06, + "loss": 0.8584, + "step": 5524 + }, + { + "epoch": 0.16, + "learning_rate": 9.547998256505765e-06, + "loss": 0.59, + "step": 5525 + }, + { + "epoch": 0.16, + "learning_rate": 9.547800560966909e-06, + "loss": 0.6439, + "step": 5526 + }, + { + "epoch": 0.16, + "learning_rate": 9.547602824251287e-06, + "loss": 0.8367, + "step": 5527 + }, + { + "epoch": 0.16, + "learning_rate": 9.547405046360688e-06, + "loss": 0.9305, + "step": 5528 + }, + { + "epoch": 0.16, + "learning_rate": 9.547207227296904e-06, + "loss": 0.7537, + "step": 5529 + }, + { + "epoch": 0.16, + "learning_rate": 9.547009367061724e-06, + "loss": 1.2565, + "step": 5530 + }, + { + "epoch": 0.16, + "learning_rate": 9.546811465656942e-06, + "loss": 0.529, + "step": 5531 + }, + { + "epoch": 0.16, + "learning_rate": 9.54661352308435e-06, + "loss": 0.8733, + "step": 5532 + }, + { + "epoch": 0.16, + "learning_rate": 9.546415539345735e-06, + "loss": 1.0317, + "step": 5533 + }, + { + "epoch": 0.16, + "learning_rate": 9.546217514442896e-06, + "loss": 0.9146, + "step": 5534 + }, + { + "epoch": 0.16, + "learning_rate": 9.54601944837762e-06, + "loss": 0.8751, + "step": 5535 + }, + { + "epoch": 0.16, + "learning_rate": 9.545821341151708e-06, + "loss": 0.7526, + "step": 5536 + }, + { + "epoch": 0.16, + "learning_rate": 9.545623192766949e-06, + "loss": 0.7677, + "step": 5537 + }, + { + "epoch": 0.16, + "learning_rate": 9.545425003225136e-06, + "loss": 0.8765, + "step": 5538 + }, + { + "epoch": 0.16, + "learning_rate": 9.545226772528064e-06, + "loss": 0.7, + "step": 5539 + }, + { + "epoch": 0.16, + "learning_rate": 9.545028500677529e-06, + "loss": 0.9659, + "step": 5540 + }, + { + "epoch": 0.16, + "learning_rate": 9.544830187675328e-06, + "loss": 1.0028, + "step": 5541 + }, + { + "epoch": 0.16, + "learning_rate": 9.544631833523251e-06, + "loss": 0.6104, + "step": 5542 + }, + { + "epoch": 0.16, + "learning_rate": 9.5444334382231e-06, + "loss": 0.8145, + "step": 5543 + }, + { + "epoch": 0.16, + "learning_rate": 9.544235001776668e-06, + "loss": 0.7101, + "step": 5544 + }, + { + "epoch": 0.16, + "learning_rate": 9.544036524185752e-06, + "loss": 0.7354, + "step": 5545 + }, + { + "epoch": 0.16, + "learning_rate": 9.54383800545215e-06, + "loss": 0.8933, + "step": 5546 + }, + { + "epoch": 0.16, + "learning_rate": 9.54363944557766e-06, + "loss": 0.9782, + "step": 5547 + }, + { + "epoch": 0.16, + "learning_rate": 9.543440844564075e-06, + "loss": 0.9065, + "step": 5548 + }, + { + "epoch": 0.16, + "learning_rate": 9.5432422024132e-06, + "loss": 0.7245, + "step": 5549 + }, + { + "epoch": 0.16, + "learning_rate": 9.543043519126831e-06, + "loss": 0.773, + "step": 5550 + }, + { + "epoch": 0.16, + "learning_rate": 9.542844794706765e-06, + "loss": 0.8265, + "step": 5551 + }, + { + "epoch": 0.16, + "learning_rate": 9.542646029154803e-06, + "loss": 0.7051, + "step": 5552 + }, + { + "epoch": 0.16, + "learning_rate": 9.542447222472743e-06, + "loss": 0.8031, + "step": 5553 + }, + { + "epoch": 0.16, + "learning_rate": 9.542248374662388e-06, + "loss": 0.9033, + "step": 5554 + }, + { + "epoch": 0.16, + "learning_rate": 9.542049485725536e-06, + "loss": 0.6884, + "step": 5555 + }, + { + "epoch": 0.16, + "learning_rate": 9.54185055566399e-06, + "loss": 0.9537, + "step": 5556 + }, + { + "epoch": 0.16, + "learning_rate": 9.541651584479547e-06, + "loss": 0.8577, + "step": 5557 + }, + { + "epoch": 0.16, + "learning_rate": 9.541452572174014e-06, + "loss": 0.5793, + "step": 5558 + }, + { + "epoch": 0.16, + "learning_rate": 9.541253518749189e-06, + "loss": 0.8789, + "step": 5559 + }, + { + "epoch": 0.16, + "learning_rate": 9.541054424206875e-06, + "loss": 0.532, + "step": 5560 + }, + { + "epoch": 0.16, + "learning_rate": 9.540855288548874e-06, + "loss": 0.7784, + "step": 5561 + }, + { + "epoch": 0.16, + "learning_rate": 9.540656111776991e-06, + "loss": 0.7947, + "step": 5562 + }, + { + "epoch": 0.16, + "learning_rate": 9.54045689389303e-06, + "loss": 0.7418, + "step": 5563 + }, + { + "epoch": 0.16, + "learning_rate": 9.540257634898792e-06, + "loss": 0.8004, + "step": 5564 + }, + { + "epoch": 0.16, + "learning_rate": 9.540058334796083e-06, + "loss": 0.814, + "step": 5565 + }, + { + "epoch": 0.16, + "learning_rate": 9.539858993586706e-06, + "loss": 0.6106, + "step": 5566 + }, + { + "epoch": 0.16, + "learning_rate": 9.539659611272466e-06, + "loss": 0.8774, + "step": 5567 + }, + { + "epoch": 0.16, + "learning_rate": 9.53946018785517e-06, + "loss": 0.8987, + "step": 5568 + }, + { + "epoch": 0.16, + "learning_rate": 9.539260723336624e-06, + "loss": 1.0097, + "step": 5569 + }, + { + "epoch": 0.16, + "learning_rate": 9.53906121771863e-06, + "loss": 0.6928, + "step": 5570 + }, + { + "epoch": 0.16, + "learning_rate": 9.538861671002998e-06, + "loss": 0.7959, + "step": 5571 + }, + { + "epoch": 0.16, + "learning_rate": 9.538662083191534e-06, + "loss": 0.8098, + "step": 5572 + }, + { + "epoch": 0.16, + "learning_rate": 9.538462454286044e-06, + "loss": 0.9245, + "step": 5573 + }, + { + "epoch": 0.16, + "learning_rate": 9.538262784288337e-06, + "loss": 0.8064, + "step": 5574 + }, + { + "epoch": 0.16, + "learning_rate": 9.53806307320022e-06, + "loss": 0.8557, + "step": 5575 + }, + { + "epoch": 0.16, + "learning_rate": 9.537863321023501e-06, + "loss": 0.825, + "step": 5576 + }, + { + "epoch": 0.16, + "learning_rate": 9.537663527759989e-06, + "loss": 0.8752, + "step": 5577 + }, + { + "epoch": 0.16, + "learning_rate": 9.537463693411495e-06, + "loss": 0.6914, + "step": 5578 + }, + { + "epoch": 0.16, + "learning_rate": 9.537263817979824e-06, + "loss": 0.5362, + "step": 5579 + }, + { + "epoch": 0.16, + "learning_rate": 9.537063901466787e-06, + "loss": 0.8324, + "step": 5580 + }, + { + "epoch": 0.16, + "learning_rate": 9.536863943874198e-06, + "loss": 0.8725, + "step": 5581 + }, + { + "epoch": 0.16, + "learning_rate": 9.536663945203863e-06, + "loss": 0.7078, + "step": 5582 + }, + { + "epoch": 0.16, + "learning_rate": 9.536463905457595e-06, + "loss": 0.6527, + "step": 5583 + }, + { + "epoch": 0.16, + "learning_rate": 9.536263824637204e-06, + "loss": 0.7363, + "step": 5584 + }, + { + "epoch": 0.16, + "learning_rate": 9.536063702744502e-06, + "loss": 0.8032, + "step": 5585 + }, + { + "epoch": 0.16, + "learning_rate": 9.535863539781302e-06, + "loss": 0.7886, + "step": 5586 + }, + { + "epoch": 0.16, + "learning_rate": 9.535663335749415e-06, + "loss": 0.6833, + "step": 5587 + }, + { + "epoch": 0.16, + "learning_rate": 9.535463090650654e-06, + "loss": 0.7881, + "step": 5588 + }, + { + "epoch": 0.16, + "learning_rate": 9.535262804486832e-06, + "loss": 0.683, + "step": 5589 + }, + { + "epoch": 0.16, + "learning_rate": 9.535062477259763e-06, + "loss": 0.6289, + "step": 5590 + }, + { + "epoch": 0.16, + "learning_rate": 9.534862108971261e-06, + "loss": 0.7604, + "step": 5591 + }, + { + "epoch": 0.16, + "learning_rate": 9.534661699623138e-06, + "loss": 0.8269, + "step": 5592 + }, + { + "epoch": 0.16, + "learning_rate": 9.534461249217212e-06, + "loss": 0.82, + "step": 5593 + }, + { + "epoch": 0.16, + "learning_rate": 9.534260757755295e-06, + "loss": 0.6515, + "step": 5594 + }, + { + "epoch": 0.16, + "learning_rate": 9.534060225239203e-06, + "loss": 0.7398, + "step": 5595 + }, + { + "epoch": 0.16, + "learning_rate": 9.533859651670752e-06, + "loss": 0.9041, + "step": 5596 + }, + { + "epoch": 0.16, + "learning_rate": 9.533659037051758e-06, + "loss": 0.7133, + "step": 5597 + }, + { + "epoch": 0.16, + "learning_rate": 9.53345838138404e-06, + "loss": 0.8736, + "step": 5598 + }, + { + "epoch": 0.16, + "learning_rate": 9.533257684669411e-06, + "loss": 0.865, + "step": 5599 + }, + { + "epoch": 0.16, + "learning_rate": 9.533056946909687e-06, + "loss": 0.989, + "step": 5600 + }, + { + "epoch": 0.16, + "learning_rate": 9.53285616810669e-06, + "loss": 0.9449, + "step": 5601 + }, + { + "epoch": 0.16, + "learning_rate": 9.532655348262236e-06, + "loss": 0.8185, + "step": 5602 + }, + { + "epoch": 0.16, + "learning_rate": 9.532454487378143e-06, + "loss": 0.7171, + "step": 5603 + }, + { + "epoch": 0.16, + "learning_rate": 9.532253585456229e-06, + "loss": 0.8246, + "step": 5604 + }, + { + "epoch": 0.16, + "learning_rate": 9.532052642498313e-06, + "loss": 0.8838, + "step": 5605 + }, + { + "epoch": 0.16, + "learning_rate": 9.531851658506217e-06, + "loss": 0.5029, + "step": 5606 + }, + { + "epoch": 0.16, + "learning_rate": 9.531650633481757e-06, + "loss": 0.5381, + "step": 5607 + }, + { + "epoch": 0.16, + "learning_rate": 9.531449567426755e-06, + "loss": 0.8274, + "step": 5608 + }, + { + "epoch": 0.16, + "learning_rate": 9.531248460343034e-06, + "loss": 0.9337, + "step": 5609 + }, + { + "epoch": 0.16, + "learning_rate": 9.53104731223241e-06, + "loss": 0.6454, + "step": 5610 + }, + { + "epoch": 0.16, + "learning_rate": 9.530846123096709e-06, + "loss": 0.6932, + "step": 5611 + }, + { + "epoch": 0.16, + "learning_rate": 9.530644892937749e-06, + "loss": 0.7757, + "step": 5612 + }, + { + "epoch": 0.16, + "learning_rate": 9.530443621757352e-06, + "loss": 0.8444, + "step": 5613 + }, + { + "epoch": 0.16, + "learning_rate": 9.530242309557342e-06, + "loss": 0.9143, + "step": 5614 + }, + { + "epoch": 0.16, + "learning_rate": 9.530040956339542e-06, + "loss": 0.9147, + "step": 5615 + }, + { + "epoch": 0.16, + "learning_rate": 9.529839562105773e-06, + "loss": 0.8218, + "step": 5616 + }, + { + "epoch": 0.17, + "learning_rate": 9.529638126857861e-06, + "loss": 0.6435, + "step": 5617 + }, + { + "epoch": 0.17, + "learning_rate": 9.529436650597629e-06, + "loss": 0.9216, + "step": 5618 + }, + { + "epoch": 0.17, + "learning_rate": 9.5292351333269e-06, + "loss": 0.8531, + "step": 5619 + }, + { + "epoch": 0.17, + "learning_rate": 9.5290335750475e-06, + "loss": 0.9887, + "step": 5620 + }, + { + "epoch": 0.17, + "learning_rate": 9.528831975761253e-06, + "loss": 0.783, + "step": 5621 + }, + { + "epoch": 0.17, + "learning_rate": 9.528630335469985e-06, + "loss": 0.4865, + "step": 5622 + }, + { + "epoch": 0.17, + "learning_rate": 9.52842865417552e-06, + "loss": 0.789, + "step": 5623 + }, + { + "epoch": 0.17, + "learning_rate": 9.528226931879688e-06, + "loss": 0.8985, + "step": 5624 + }, + { + "epoch": 0.17, + "learning_rate": 9.528025168584311e-06, + "loss": 0.6558, + "step": 5625 + }, + { + "epoch": 0.17, + "learning_rate": 9.52782336429122e-06, + "loss": 0.9365, + "step": 5626 + }, + { + "epoch": 0.17, + "learning_rate": 9.527621519002238e-06, + "loss": 1.0644, + "step": 5627 + }, + { + "epoch": 0.17, + "learning_rate": 9.527419632719195e-06, + "loss": 0.6666, + "step": 5628 + }, + { + "epoch": 0.17, + "learning_rate": 9.527217705443918e-06, + "loss": 0.6944, + "step": 5629 + }, + { + "epoch": 0.17, + "learning_rate": 9.527015737178235e-06, + "loss": 0.852, + "step": 5630 + }, + { + "epoch": 0.17, + "learning_rate": 9.526813727923978e-06, + "loss": 0.681, + "step": 5631 + }, + { + "epoch": 0.17, + "learning_rate": 9.526611677682971e-06, + "loss": 0.8474, + "step": 5632 + }, + { + "epoch": 0.17, + "learning_rate": 9.526409586457046e-06, + "loss": 0.8982, + "step": 5633 + }, + { + "epoch": 0.17, + "learning_rate": 9.526207454248033e-06, + "loss": 0.7933, + "step": 5634 + }, + { + "epoch": 0.17, + "learning_rate": 9.526005281057762e-06, + "loss": 0.8009, + "step": 5635 + }, + { + "epoch": 0.17, + "learning_rate": 9.525803066888063e-06, + "loss": 1.0156, + "step": 5636 + }, + { + "epoch": 0.17, + "learning_rate": 9.525600811740768e-06, + "loss": 0.9208, + "step": 5637 + }, + { + "epoch": 0.17, + "learning_rate": 9.525398515617705e-06, + "loss": 0.7383, + "step": 5638 + }, + { + "epoch": 0.17, + "learning_rate": 9.52519617852071e-06, + "loss": 0.7771, + "step": 5639 + }, + { + "epoch": 0.17, + "learning_rate": 9.524993800451612e-06, + "loss": 0.6996, + "step": 5640 + }, + { + "epoch": 0.17, + "learning_rate": 9.524791381412246e-06, + "loss": 0.9141, + "step": 5641 + }, + { + "epoch": 0.17, + "learning_rate": 9.524588921404441e-06, + "loss": 0.7106, + "step": 5642 + }, + { + "epoch": 0.17, + "learning_rate": 9.524386420430033e-06, + "loss": 0.9629, + "step": 5643 + }, + { + "epoch": 0.17, + "learning_rate": 9.524183878490856e-06, + "loss": 0.7829, + "step": 5644 + }, + { + "epoch": 0.17, + "learning_rate": 9.52398129558874e-06, + "loss": 0.6862, + "step": 5645 + }, + { + "epoch": 0.17, + "learning_rate": 9.523778671725525e-06, + "loss": 0.7699, + "step": 5646 + }, + { + "epoch": 0.17, + "learning_rate": 9.52357600690304e-06, + "loss": 0.633, + "step": 5647 + }, + { + "epoch": 0.17, + "learning_rate": 9.523373301123124e-06, + "loss": 0.4762, + "step": 5648 + }, + { + "epoch": 0.17, + "learning_rate": 9.52317055438761e-06, + "loss": 1.0641, + "step": 5649 + }, + { + "epoch": 0.17, + "learning_rate": 9.522967766698335e-06, + "loss": 0.7056, + "step": 5650 + }, + { + "epoch": 0.17, + "learning_rate": 9.522764938057133e-06, + "loss": 0.6813, + "step": 5651 + }, + { + "epoch": 0.17, + "learning_rate": 9.522562068465845e-06, + "loss": 0.8385, + "step": 5652 + }, + { + "epoch": 0.17, + "learning_rate": 9.522359157926301e-06, + "loss": 0.8003, + "step": 5653 + }, + { + "epoch": 0.17, + "learning_rate": 9.522156206440343e-06, + "loss": 0.6196, + "step": 5654 + }, + { + "epoch": 0.17, + "learning_rate": 9.521953214009809e-06, + "loss": 0.8465, + "step": 5655 + }, + { + "epoch": 0.17, + "learning_rate": 9.521750180636536e-06, + "loss": 1.1404, + "step": 5656 + }, + { + "epoch": 0.17, + "learning_rate": 9.52154710632236e-06, + "loss": 0.9038, + "step": 5657 + }, + { + "epoch": 0.17, + "learning_rate": 9.521343991069122e-06, + "loss": 0.734, + "step": 5658 + }, + { + "epoch": 0.17, + "learning_rate": 9.52114083487866e-06, + "loss": 0.8956, + "step": 5659 + }, + { + "epoch": 0.17, + "learning_rate": 9.520937637752816e-06, + "loss": 0.6178, + "step": 5660 + }, + { + "epoch": 0.17, + "learning_rate": 9.520734399693426e-06, + "loss": 0.6119, + "step": 5661 + }, + { + "epoch": 0.17, + "learning_rate": 9.520531120702332e-06, + "loss": 0.5673, + "step": 5662 + }, + { + "epoch": 0.17, + "learning_rate": 9.520327800781375e-06, + "loss": 0.7871, + "step": 5663 + }, + { + "epoch": 0.17, + "learning_rate": 9.520124439932395e-06, + "loss": 1.0801, + "step": 5664 + }, + { + "epoch": 0.17, + "learning_rate": 9.519921038157234e-06, + "loss": 0.681, + "step": 5665 + }, + { + "epoch": 0.17, + "learning_rate": 9.519717595457734e-06, + "loss": 0.8584, + "step": 5666 + }, + { + "epoch": 0.17, + "learning_rate": 9.519514111835735e-06, + "loss": 0.7635, + "step": 5667 + }, + { + "epoch": 0.17, + "learning_rate": 9.519310587293082e-06, + "loss": 0.6445, + "step": 5668 + }, + { + "epoch": 0.17, + "learning_rate": 9.519107021831614e-06, + "loss": 0.537, + "step": 5669 + }, + { + "epoch": 0.17, + "learning_rate": 9.51890341545318e-06, + "loss": 0.8791, + "step": 5670 + }, + { + "epoch": 0.17, + "learning_rate": 9.518699768159617e-06, + "loss": 0.6405, + "step": 5671 + }, + { + "epoch": 0.17, + "learning_rate": 9.518496079952774e-06, + "loss": 0.872, + "step": 5672 + }, + { + "epoch": 0.17, + "learning_rate": 9.518292350834492e-06, + "loss": 0.5854, + "step": 5673 + }, + { + "epoch": 0.17, + "learning_rate": 9.518088580806618e-06, + "loss": 0.6557, + "step": 5674 + }, + { + "epoch": 0.17, + "learning_rate": 9.517884769870994e-06, + "loss": 0.7615, + "step": 5675 + }, + { + "epoch": 0.17, + "learning_rate": 9.517680918029469e-06, + "loss": 0.7917, + "step": 5676 + }, + { + "epoch": 0.17, + "learning_rate": 9.517477025283885e-06, + "loss": 0.9697, + "step": 5677 + }, + { + "epoch": 0.17, + "learning_rate": 9.51727309163609e-06, + "loss": 1.1008, + "step": 5678 + }, + { + "epoch": 0.17, + "learning_rate": 9.517069117087932e-06, + "loss": 0.9134, + "step": 5679 + }, + { + "epoch": 0.17, + "learning_rate": 9.516865101641255e-06, + "loss": 0.6972, + "step": 5680 + }, + { + "epoch": 0.17, + "learning_rate": 9.516661045297907e-06, + "loss": 0.8976, + "step": 5681 + }, + { + "epoch": 0.17, + "learning_rate": 9.516456948059737e-06, + "loss": 0.6854, + "step": 5682 + }, + { + "epoch": 0.17, + "learning_rate": 9.51625280992859e-06, + "loss": 0.6845, + "step": 5683 + }, + { + "epoch": 0.17, + "learning_rate": 9.516048630906319e-06, + "loss": 0.6546, + "step": 5684 + }, + { + "epoch": 0.17, + "learning_rate": 9.515844410994769e-06, + "loss": 0.8086, + "step": 5685 + }, + { + "epoch": 0.17, + "learning_rate": 9.51564015019579e-06, + "loss": 0.7955, + "step": 5686 + }, + { + "epoch": 0.17, + "learning_rate": 9.51543584851123e-06, + "loss": 0.7318, + "step": 5687 + }, + { + "epoch": 0.17, + "learning_rate": 9.51523150594294e-06, + "loss": 0.8047, + "step": 5688 + }, + { + "epoch": 0.17, + "learning_rate": 9.515027122492772e-06, + "loss": 0.6936, + "step": 5689 + }, + { + "epoch": 0.17, + "learning_rate": 9.514822698162574e-06, + "loss": 0.8129, + "step": 5690 + }, + { + "epoch": 0.17, + "learning_rate": 9.514618232954197e-06, + "loss": 0.7459, + "step": 5691 + }, + { + "epoch": 0.17, + "learning_rate": 9.514413726869493e-06, + "loss": 0.7958, + "step": 5692 + }, + { + "epoch": 0.17, + "learning_rate": 9.514209179910315e-06, + "loss": 0.7727, + "step": 5693 + }, + { + "epoch": 0.17, + "learning_rate": 9.514004592078514e-06, + "loss": 0.7634, + "step": 5694 + }, + { + "epoch": 0.17, + "learning_rate": 9.51379996337594e-06, + "loss": 0.8471, + "step": 5695 + }, + { + "epoch": 0.17, + "learning_rate": 9.51359529380445e-06, + "loss": 0.6924, + "step": 5696 + }, + { + "epoch": 0.17, + "learning_rate": 9.513390583365894e-06, + "loss": 0.9077, + "step": 5697 + }, + { + "epoch": 0.17, + "learning_rate": 9.513185832062126e-06, + "loss": 0.9954, + "step": 5698 + }, + { + "epoch": 0.17, + "learning_rate": 9.512981039895001e-06, + "loss": 0.9438, + "step": 5699 + }, + { + "epoch": 0.17, + "learning_rate": 9.512776206866372e-06, + "loss": 0.7084, + "step": 5700 + }, + { + "epoch": 0.17, + "learning_rate": 9.512571332978096e-06, + "loss": 0.7082, + "step": 5701 + }, + { + "epoch": 0.17, + "learning_rate": 9.512366418232022e-06, + "loss": 0.9146, + "step": 5702 + }, + { + "epoch": 0.17, + "learning_rate": 9.512161462630012e-06, + "loss": 0.746, + "step": 5703 + }, + { + "epoch": 0.17, + "learning_rate": 9.51195646617392e-06, + "loss": 0.7579, + "step": 5704 + }, + { + "epoch": 0.17, + "learning_rate": 9.5117514288656e-06, + "loss": 0.8782, + "step": 5705 + }, + { + "epoch": 0.17, + "learning_rate": 9.51154635070691e-06, + "loss": 0.7677, + "step": 5706 + }, + { + "epoch": 0.17, + "learning_rate": 9.511341231699707e-06, + "loss": 0.6264, + "step": 5707 + }, + { + "epoch": 0.17, + "learning_rate": 9.511136071845847e-06, + "loss": 0.9371, + "step": 5708 + }, + { + "epoch": 0.17, + "learning_rate": 9.510930871147189e-06, + "loss": 0.8202, + "step": 5709 + }, + { + "epoch": 0.17, + "learning_rate": 9.510725629605589e-06, + "loss": 0.7031, + "step": 5710 + }, + { + "epoch": 0.17, + "learning_rate": 9.510520347222906e-06, + "loss": 0.656, + "step": 5711 + }, + { + "epoch": 0.17, + "learning_rate": 9.510315024001001e-06, + "loss": 1.0303, + "step": 5712 + }, + { + "epoch": 0.17, + "learning_rate": 9.510109659941731e-06, + "loss": 0.6955, + "step": 5713 + }, + { + "epoch": 0.17, + "learning_rate": 9.509904255046955e-06, + "loss": 0.4916, + "step": 5714 + }, + { + "epoch": 0.17, + "learning_rate": 9.509698809318534e-06, + "loss": 0.6545, + "step": 5715 + }, + { + "epoch": 0.17, + "learning_rate": 9.509493322758325e-06, + "loss": 0.7786, + "step": 5716 + }, + { + "epoch": 0.17, + "learning_rate": 9.509287795368195e-06, + "loss": 0.6423, + "step": 5717 + }, + { + "epoch": 0.17, + "learning_rate": 9.509082227149997e-06, + "loss": 0.6322, + "step": 5718 + }, + { + "epoch": 0.17, + "learning_rate": 9.508876618105599e-06, + "loss": 0.7086, + "step": 5719 + }, + { + "epoch": 0.17, + "learning_rate": 9.508670968236859e-06, + "loss": 0.8126, + "step": 5720 + }, + { + "epoch": 0.17, + "learning_rate": 9.50846527754564e-06, + "loss": 0.9475, + "step": 5721 + }, + { + "epoch": 0.17, + "learning_rate": 9.508259546033804e-06, + "loss": 1.0215, + "step": 5722 + }, + { + "epoch": 0.17, + "learning_rate": 9.508053773703214e-06, + "loss": 0.8896, + "step": 5723 + }, + { + "epoch": 0.17, + "learning_rate": 9.507847960555733e-06, + "loss": 0.7706, + "step": 5724 + }, + { + "epoch": 0.17, + "learning_rate": 9.507642106593225e-06, + "loss": 0.6715, + "step": 5725 + }, + { + "epoch": 0.17, + "learning_rate": 9.507436211817553e-06, + "loss": 0.8079, + "step": 5726 + }, + { + "epoch": 0.17, + "learning_rate": 9.507230276230581e-06, + "loss": 0.8363, + "step": 5727 + }, + { + "epoch": 0.17, + "learning_rate": 9.507024299834176e-06, + "loss": 0.6852, + "step": 5728 + }, + { + "epoch": 0.17, + "learning_rate": 9.5068182826302e-06, + "loss": 0.7312, + "step": 5729 + }, + { + "epoch": 0.17, + "learning_rate": 9.506612224620518e-06, + "loss": 0.4809, + "step": 5730 + }, + { + "epoch": 0.17, + "learning_rate": 9.506406125806999e-06, + "loss": 0.6461, + "step": 5731 + }, + { + "epoch": 0.17, + "learning_rate": 9.506199986191507e-06, + "loss": 0.721, + "step": 5732 + }, + { + "epoch": 0.17, + "learning_rate": 9.505993805775906e-06, + "loss": 0.7021, + "step": 5733 + }, + { + "epoch": 0.17, + "learning_rate": 9.50578758456207e-06, + "loss": 0.818, + "step": 5734 + }, + { + "epoch": 0.17, + "learning_rate": 9.505581322551858e-06, + "loss": 0.9043, + "step": 5735 + }, + { + "epoch": 0.17, + "learning_rate": 9.505375019747142e-06, + "loss": 0.7529, + "step": 5736 + }, + { + "epoch": 0.17, + "learning_rate": 9.505168676149789e-06, + "loss": 0.6832, + "step": 5737 + }, + { + "epoch": 0.17, + "learning_rate": 9.504962291761668e-06, + "loss": 0.8105, + "step": 5738 + }, + { + "epoch": 0.17, + "learning_rate": 9.504755866584647e-06, + "loss": 0.6425, + "step": 5739 + }, + { + "epoch": 0.17, + "learning_rate": 9.504549400620595e-06, + "loss": 0.8162, + "step": 5740 + }, + { + "epoch": 0.17, + "learning_rate": 9.504342893871382e-06, + "loss": 0.656, + "step": 5741 + }, + { + "epoch": 0.17, + "learning_rate": 9.504136346338876e-06, + "loss": 1.0099, + "step": 5742 + }, + { + "epoch": 0.17, + "learning_rate": 9.50392975802495e-06, + "loss": 0.6669, + "step": 5743 + }, + { + "epoch": 0.17, + "learning_rate": 9.50372312893147e-06, + "loss": 0.6775, + "step": 5744 + }, + { + "epoch": 0.17, + "learning_rate": 9.503516459060312e-06, + "loss": 0.592, + "step": 5745 + }, + { + "epoch": 0.17, + "learning_rate": 9.503309748413344e-06, + "loss": 1.0084, + "step": 5746 + }, + { + "epoch": 0.17, + "learning_rate": 9.503102996992439e-06, + "loss": 0.9389, + "step": 5747 + }, + { + "epoch": 0.17, + "learning_rate": 9.502896204799467e-06, + "loss": 0.828, + "step": 5748 + }, + { + "epoch": 0.17, + "learning_rate": 9.502689371836303e-06, + "loss": 0.7261, + "step": 5749 + }, + { + "epoch": 0.17, + "learning_rate": 9.50248249810482e-06, + "loss": 0.7833, + "step": 5750 + }, + { + "epoch": 0.17, + "learning_rate": 9.502275583606885e-06, + "loss": 0.7416, + "step": 5751 + }, + { + "epoch": 0.17, + "learning_rate": 9.502068628344381e-06, + "loss": 0.9211, + "step": 5752 + }, + { + "epoch": 0.17, + "learning_rate": 9.501861632319173e-06, + "loss": 0.8342, + "step": 5753 + }, + { + "epoch": 0.17, + "learning_rate": 9.501654595533143e-06, + "loss": 0.5909, + "step": 5754 + }, + { + "epoch": 0.17, + "learning_rate": 9.501447517988158e-06, + "loss": 0.8438, + "step": 5755 + }, + { + "epoch": 0.17, + "learning_rate": 9.501240399686099e-06, + "loss": 0.7007, + "step": 5756 + }, + { + "epoch": 0.17, + "learning_rate": 9.501033240628836e-06, + "loss": 0.7981, + "step": 5757 + }, + { + "epoch": 0.17, + "learning_rate": 9.50082604081825e-06, + "loss": 0.7006, + "step": 5758 + }, + { + "epoch": 0.17, + "learning_rate": 9.500618800256214e-06, + "loss": 0.7952, + "step": 5759 + }, + { + "epoch": 0.17, + "learning_rate": 9.500411518944603e-06, + "loss": 0.7191, + "step": 5760 + }, + { + "epoch": 0.17, + "learning_rate": 9.500204196885299e-06, + "loss": 0.7269, + "step": 5761 + }, + { + "epoch": 0.17, + "learning_rate": 9.499996834080173e-06, + "loss": 0.7552, + "step": 5762 + }, + { + "epoch": 0.17, + "learning_rate": 9.499789430531108e-06, + "loss": 0.7643, + "step": 5763 + }, + { + "epoch": 0.17, + "learning_rate": 9.499581986239976e-06, + "loss": 0.6306, + "step": 5764 + }, + { + "epoch": 0.17, + "learning_rate": 9.49937450120866e-06, + "loss": 0.8671, + "step": 5765 + }, + { + "epoch": 0.17, + "learning_rate": 9.499166975439036e-06, + "loss": 0.9715, + "step": 5766 + }, + { + "epoch": 0.17, + "learning_rate": 9.498959408932987e-06, + "loss": 1.0825, + "step": 5767 + }, + { + "epoch": 0.17, + "learning_rate": 9.498751801692387e-06, + "loss": 0.78, + "step": 5768 + }, + { + "epoch": 0.17, + "learning_rate": 9.498544153719118e-06, + "loss": 0.7448, + "step": 5769 + }, + { + "epoch": 0.17, + "learning_rate": 9.498336465015061e-06, + "loss": 0.5488, + "step": 5770 + }, + { + "epoch": 0.17, + "learning_rate": 9.498128735582095e-06, + "loss": 0.9706, + "step": 5771 + }, + { + "epoch": 0.17, + "learning_rate": 9.497920965422101e-06, + "loss": 0.701, + "step": 5772 + }, + { + "epoch": 0.17, + "learning_rate": 9.497713154536963e-06, + "loss": 0.855, + "step": 5773 + }, + { + "epoch": 0.17, + "learning_rate": 9.497505302928557e-06, + "loss": 0.7672, + "step": 5774 + }, + { + "epoch": 0.17, + "learning_rate": 9.497297410598772e-06, + "loss": 0.5293, + "step": 5775 + }, + { + "epoch": 0.17, + "learning_rate": 9.497089477549484e-06, + "loss": 0.6121, + "step": 5776 + }, + { + "epoch": 0.17, + "learning_rate": 9.496881503782578e-06, + "loss": 0.7054, + "step": 5777 + }, + { + "epoch": 0.17, + "learning_rate": 9.496673489299939e-06, + "loss": 0.5794, + "step": 5778 + }, + { + "epoch": 0.17, + "learning_rate": 9.496465434103446e-06, + "loss": 0.639, + "step": 5779 + }, + { + "epoch": 0.17, + "learning_rate": 9.496257338194987e-06, + "loss": 0.607, + "step": 5780 + }, + { + "epoch": 0.17, + "learning_rate": 9.496049201576444e-06, + "loss": 0.878, + "step": 5781 + }, + { + "epoch": 0.17, + "learning_rate": 9.495841024249703e-06, + "loss": 0.7398, + "step": 5782 + }, + { + "epoch": 0.17, + "learning_rate": 9.495632806216647e-06, + "loss": 0.9258, + "step": 5783 + }, + { + "epoch": 0.17, + "learning_rate": 9.495424547479162e-06, + "loss": 0.781, + "step": 5784 + }, + { + "epoch": 0.17, + "learning_rate": 9.495216248039134e-06, + "loss": 0.8784, + "step": 5785 + }, + { + "epoch": 0.17, + "learning_rate": 9.49500790789845e-06, + "loss": 0.7827, + "step": 5786 + }, + { + "epoch": 0.17, + "learning_rate": 9.494799527058994e-06, + "loss": 0.7963, + "step": 5787 + }, + { + "epoch": 0.17, + "learning_rate": 9.494591105522654e-06, + "loss": 0.8371, + "step": 5788 + }, + { + "epoch": 0.17, + "learning_rate": 9.494382643291317e-06, + "loss": 0.5228, + "step": 5789 + }, + { + "epoch": 0.17, + "learning_rate": 9.49417414036687e-06, + "loss": 0.5868, + "step": 5790 + }, + { + "epoch": 0.17, + "learning_rate": 9.493965596751202e-06, + "loss": 0.6436, + "step": 5791 + }, + { + "epoch": 0.17, + "learning_rate": 9.493757012446198e-06, + "loss": 0.5824, + "step": 5792 + }, + { + "epoch": 0.17, + "learning_rate": 9.493548387453752e-06, + "loss": 0.7348, + "step": 5793 + }, + { + "epoch": 0.17, + "learning_rate": 9.493339721775749e-06, + "loss": 0.765, + "step": 5794 + }, + { + "epoch": 0.17, + "learning_rate": 9.49313101541408e-06, + "loss": 0.806, + "step": 5795 + }, + { + "epoch": 0.17, + "learning_rate": 9.492922268370633e-06, + "loss": 0.7138, + "step": 5796 + }, + { + "epoch": 0.17, + "learning_rate": 9.492713480647298e-06, + "loss": 0.7451, + "step": 5797 + }, + { + "epoch": 0.17, + "learning_rate": 9.492504652245968e-06, + "loss": 0.8394, + "step": 5798 + }, + { + "epoch": 0.17, + "learning_rate": 9.492295783168532e-06, + "loss": 0.8094, + "step": 5799 + }, + { + "epoch": 0.17, + "learning_rate": 9.492086873416882e-06, + "loss": 0.6593, + "step": 5800 + }, + { + "epoch": 0.17, + "learning_rate": 9.491877922992907e-06, + "loss": 0.7407, + "step": 5801 + }, + { + "epoch": 0.17, + "learning_rate": 9.491668931898501e-06, + "loss": 0.6846, + "step": 5802 + }, + { + "epoch": 0.17, + "learning_rate": 9.491459900135555e-06, + "loss": 0.442, + "step": 5803 + }, + { + "epoch": 0.17, + "learning_rate": 9.491250827705964e-06, + "loss": 0.8487, + "step": 5804 + }, + { + "epoch": 0.17, + "learning_rate": 9.491041714611621e-06, + "loss": 0.674, + "step": 5805 + }, + { + "epoch": 0.17, + "learning_rate": 9.490832560854414e-06, + "loss": 0.9733, + "step": 5806 + }, + { + "epoch": 0.17, + "learning_rate": 9.490623366436244e-06, + "loss": 0.8849, + "step": 5807 + }, + { + "epoch": 0.17, + "learning_rate": 9.490414131359001e-06, + "loss": 0.8167, + "step": 5808 + }, + { + "epoch": 0.17, + "learning_rate": 9.49020485562458e-06, + "loss": 0.6786, + "step": 5809 + }, + { + "epoch": 0.17, + "learning_rate": 9.489995539234876e-06, + "loss": 1.1329, + "step": 5810 + }, + { + "epoch": 0.17, + "learning_rate": 9.489786182191785e-06, + "loss": 0.8865, + "step": 5811 + }, + { + "epoch": 0.17, + "learning_rate": 9.4895767844972e-06, + "loss": 0.7776, + "step": 5812 + }, + { + "epoch": 0.17, + "learning_rate": 9.48936734615302e-06, + "loss": 0.7414, + "step": 5813 + }, + { + "epoch": 0.17, + "learning_rate": 9.489157867161138e-06, + "loss": 0.9822, + "step": 5814 + }, + { + "epoch": 0.17, + "learning_rate": 9.488948347523454e-06, + "loss": 0.6748, + "step": 5815 + }, + { + "epoch": 0.17, + "learning_rate": 9.488738787241864e-06, + "loss": 0.8288, + "step": 5816 + }, + { + "epoch": 0.17, + "learning_rate": 9.488529186318266e-06, + "loss": 0.8131, + "step": 5817 + }, + { + "epoch": 0.17, + "learning_rate": 9.488319544754556e-06, + "loss": 0.7307, + "step": 5818 + }, + { + "epoch": 0.17, + "learning_rate": 9.488109862552632e-06, + "loss": 0.6499, + "step": 5819 + }, + { + "epoch": 0.17, + "learning_rate": 9.487900139714394e-06, + "loss": 0.8711, + "step": 5820 + }, + { + "epoch": 0.17, + "learning_rate": 9.487690376241742e-06, + "loss": 0.8977, + "step": 5821 + }, + { + "epoch": 0.17, + "learning_rate": 9.487480572136572e-06, + "loss": 0.6781, + "step": 5822 + }, + { + "epoch": 0.17, + "learning_rate": 9.487270727400786e-06, + "loss": 0.8363, + "step": 5823 + }, + { + "epoch": 0.17, + "learning_rate": 9.487060842036281e-06, + "loss": 0.9864, + "step": 5824 + }, + { + "epoch": 0.17, + "learning_rate": 9.486850916044962e-06, + "loss": 0.7211, + "step": 5825 + }, + { + "epoch": 0.17, + "learning_rate": 9.486640949428727e-06, + "loss": 0.886, + "step": 5826 + }, + { + "epoch": 0.17, + "learning_rate": 9.486430942189477e-06, + "loss": 0.8137, + "step": 5827 + }, + { + "epoch": 0.17, + "learning_rate": 9.486220894329114e-06, + "loss": 0.5275, + "step": 5828 + }, + { + "epoch": 0.17, + "learning_rate": 9.48601080584954e-06, + "loss": 0.8365, + "step": 5829 + }, + { + "epoch": 0.17, + "learning_rate": 9.485800676752657e-06, + "loss": 0.5746, + "step": 5830 + }, + { + "epoch": 0.17, + "learning_rate": 9.485590507040367e-06, + "loss": 0.782, + "step": 5831 + }, + { + "epoch": 0.17, + "learning_rate": 9.485380296714572e-06, + "loss": 0.6671, + "step": 5832 + }, + { + "epoch": 0.17, + "learning_rate": 9.485170045777179e-06, + "loss": 0.844, + "step": 5833 + }, + { + "epoch": 0.17, + "learning_rate": 9.484959754230087e-06, + "loss": 0.5381, + "step": 5834 + }, + { + "epoch": 0.17, + "learning_rate": 9.484749422075203e-06, + "loss": 0.9515, + "step": 5835 + }, + { + "epoch": 0.17, + "learning_rate": 9.484539049314431e-06, + "loss": 0.9452, + "step": 5836 + }, + { + "epoch": 0.17, + "learning_rate": 9.484328635949675e-06, + "loss": 0.8391, + "step": 5837 + }, + { + "epoch": 0.17, + "learning_rate": 9.484118181982842e-06, + "loss": 0.976, + "step": 5838 + }, + { + "epoch": 0.17, + "learning_rate": 9.483907687415836e-06, + "loss": 0.7516, + "step": 5839 + }, + { + "epoch": 0.17, + "learning_rate": 9.483697152250561e-06, + "loss": 0.5415, + "step": 5840 + }, + { + "epoch": 0.17, + "learning_rate": 9.483486576488926e-06, + "loss": 0.603, + "step": 5841 + }, + { + "epoch": 0.17, + "learning_rate": 9.483275960132838e-06, + "loss": 0.7372, + "step": 5842 + }, + { + "epoch": 0.17, + "learning_rate": 9.4830653031842e-06, + "loss": 0.6853, + "step": 5843 + }, + { + "epoch": 0.17, + "learning_rate": 9.482854605644925e-06, + "loss": 0.6194, + "step": 5844 + }, + { + "epoch": 0.17, + "learning_rate": 9.482643867516915e-06, + "loss": 0.7746, + "step": 5845 + }, + { + "epoch": 0.17, + "learning_rate": 9.482433088802083e-06, + "loss": 0.8704, + "step": 5846 + }, + { + "epoch": 0.17, + "learning_rate": 9.482222269502335e-06, + "loss": 0.7183, + "step": 5847 + }, + { + "epoch": 0.17, + "learning_rate": 9.482011409619579e-06, + "loss": 0.7503, + "step": 5848 + }, + { + "epoch": 0.17, + "learning_rate": 9.481800509155726e-06, + "loss": 0.698, + "step": 5849 + }, + { + "epoch": 0.17, + "learning_rate": 9.481589568112683e-06, + "loss": 1.0935, + "step": 5850 + }, + { + "epoch": 0.17, + "learning_rate": 9.481378586492364e-06, + "loss": 0.907, + "step": 5851 + }, + { + "epoch": 0.17, + "learning_rate": 9.481167564296676e-06, + "loss": 0.6696, + "step": 5852 + }, + { + "epoch": 0.17, + "learning_rate": 9.480956501527531e-06, + "loss": 0.7993, + "step": 5853 + }, + { + "epoch": 0.17, + "learning_rate": 9.48074539818684e-06, + "loss": 0.8135, + "step": 5854 + }, + { + "epoch": 0.17, + "learning_rate": 9.480534254276512e-06, + "loss": 0.9188, + "step": 5855 + }, + { + "epoch": 0.17, + "learning_rate": 9.480323069798462e-06, + "loss": 0.8841, + "step": 5856 + }, + { + "epoch": 0.17, + "learning_rate": 9.4801118447546e-06, + "loss": 0.5527, + "step": 5857 + }, + { + "epoch": 0.17, + "learning_rate": 9.479900579146842e-06, + "loss": 0.7127, + "step": 5858 + }, + { + "epoch": 0.17, + "learning_rate": 9.479689272977096e-06, + "loss": 0.7601, + "step": 5859 + }, + { + "epoch": 0.17, + "learning_rate": 9.479477926247275e-06, + "loss": 0.6581, + "step": 5860 + }, + { + "epoch": 0.17, + "learning_rate": 9.4792665389593e-06, + "loss": 0.7938, + "step": 5861 + }, + { + "epoch": 0.17, + "learning_rate": 9.479055111115077e-06, + "loss": 0.9053, + "step": 5862 + }, + { + "epoch": 0.17, + "learning_rate": 9.478843642716522e-06, + "loss": 0.8464, + "step": 5863 + }, + { + "epoch": 0.17, + "learning_rate": 9.478632133765552e-06, + "loss": 0.7451, + "step": 5864 + }, + { + "epoch": 0.17, + "learning_rate": 9.478420584264083e-06, + "loss": 0.6147, + "step": 5865 + }, + { + "epoch": 0.17, + "learning_rate": 9.478208994214026e-06, + "loss": 0.7812, + "step": 5866 + }, + { + "epoch": 0.17, + "learning_rate": 9.4779973636173e-06, + "loss": 0.6885, + "step": 5867 + }, + { + "epoch": 0.17, + "learning_rate": 9.477785692475821e-06, + "loss": 0.8627, + "step": 5868 + }, + { + "epoch": 0.17, + "learning_rate": 9.477573980791503e-06, + "loss": 0.7353, + "step": 5869 + }, + { + "epoch": 0.17, + "learning_rate": 9.477362228566265e-06, + "loss": 0.7813, + "step": 5870 + }, + { + "epoch": 0.17, + "learning_rate": 9.477150435802025e-06, + "loss": 0.87, + "step": 5871 + }, + { + "epoch": 0.17, + "learning_rate": 9.476938602500698e-06, + "loss": 0.6116, + "step": 5872 + }, + { + "epoch": 0.17, + "learning_rate": 9.476726728664206e-06, + "loss": 0.9535, + "step": 5873 + }, + { + "epoch": 0.17, + "learning_rate": 9.476514814294463e-06, + "loss": 0.6598, + "step": 5874 + }, + { + "epoch": 0.17, + "learning_rate": 9.476302859393389e-06, + "loss": 0.905, + "step": 5875 + }, + { + "epoch": 0.17, + "learning_rate": 9.476090863962906e-06, + "loss": 0.8252, + "step": 5876 + }, + { + "epoch": 0.17, + "learning_rate": 9.47587882800493e-06, + "loss": 0.8205, + "step": 5877 + }, + { + "epoch": 0.17, + "learning_rate": 9.475666751521382e-06, + "loss": 0.611, + "step": 5878 + }, + { + "epoch": 0.17, + "learning_rate": 9.47545463451418e-06, + "loss": 0.8686, + "step": 5879 + }, + { + "epoch": 0.17, + "learning_rate": 9.475242476985249e-06, + "loss": 0.9768, + "step": 5880 + }, + { + "epoch": 0.17, + "learning_rate": 9.475030278936508e-06, + "loss": 0.8771, + "step": 5881 + }, + { + "epoch": 0.17, + "learning_rate": 9.474818040369877e-06, + "loss": 0.7023, + "step": 5882 + }, + { + "epoch": 0.17, + "learning_rate": 9.47460576128728e-06, + "loss": 0.6284, + "step": 5883 + }, + { + "epoch": 0.17, + "learning_rate": 9.474393441690634e-06, + "loss": 0.6116, + "step": 5884 + }, + { + "epoch": 0.17, + "learning_rate": 9.474181081581868e-06, + "loss": 0.6406, + "step": 5885 + }, + { + "epoch": 0.17, + "learning_rate": 9.473968680962899e-06, + "loss": 0.6421, + "step": 5886 + }, + { + "epoch": 0.17, + "learning_rate": 9.473756239835656e-06, + "loss": 0.8706, + "step": 5887 + }, + { + "epoch": 0.17, + "learning_rate": 9.473543758202057e-06, + "loss": 0.7623, + "step": 5888 + }, + { + "epoch": 0.17, + "learning_rate": 9.47333123606403e-06, + "loss": 0.8812, + "step": 5889 + }, + { + "epoch": 0.17, + "learning_rate": 9.473118673423496e-06, + "loss": 1.034, + "step": 5890 + }, + { + "epoch": 0.17, + "learning_rate": 9.472906070282381e-06, + "loss": 0.8665, + "step": 5891 + }, + { + "epoch": 0.17, + "learning_rate": 9.472693426642612e-06, + "loss": 1.0109, + "step": 5892 + }, + { + "epoch": 0.17, + "learning_rate": 9.47248074250611e-06, + "loss": 0.6934, + "step": 5893 + }, + { + "epoch": 0.17, + "learning_rate": 9.472268017874804e-06, + "loss": 0.5301, + "step": 5894 + }, + { + "epoch": 0.17, + "learning_rate": 9.472055252750619e-06, + "loss": 0.6481, + "step": 5895 + }, + { + "epoch": 0.17, + "learning_rate": 9.47184244713548e-06, + "loss": 0.92, + "step": 5896 + }, + { + "epoch": 0.17, + "learning_rate": 9.471629601031315e-06, + "loss": 0.5236, + "step": 5897 + }, + { + "epoch": 0.17, + "learning_rate": 9.471416714440054e-06, + "loss": 0.7061, + "step": 5898 + }, + { + "epoch": 0.17, + "learning_rate": 9.471203787363621e-06, + "loss": 0.4695, + "step": 5899 + }, + { + "epoch": 0.17, + "learning_rate": 9.470990819803944e-06, + "loss": 0.9727, + "step": 5900 + }, + { + "epoch": 0.17, + "learning_rate": 9.470777811762952e-06, + "loss": 0.8637, + "step": 5901 + }, + { + "epoch": 0.17, + "learning_rate": 9.470564763242573e-06, + "loss": 0.9328, + "step": 5902 + }, + { + "epoch": 0.17, + "learning_rate": 9.470351674244737e-06, + "loss": 0.8205, + "step": 5903 + }, + { + "epoch": 0.17, + "learning_rate": 9.470138544771375e-06, + "loss": 0.9733, + "step": 5904 + }, + { + "epoch": 0.17, + "learning_rate": 9.469925374824414e-06, + "loss": 0.6225, + "step": 5905 + }, + { + "epoch": 0.17, + "learning_rate": 9.469712164405783e-06, + "loss": 0.6303, + "step": 5906 + }, + { + "epoch": 0.17, + "learning_rate": 9.469498913517415e-06, + "loss": 0.798, + "step": 5907 + }, + { + "epoch": 0.17, + "learning_rate": 9.469285622161241e-06, + "loss": 0.8115, + "step": 5908 + }, + { + "epoch": 0.17, + "learning_rate": 9.469072290339192e-06, + "loss": 0.6892, + "step": 5909 + }, + { + "epoch": 0.17, + "learning_rate": 9.468858918053196e-06, + "loss": 0.7224, + "step": 5910 + }, + { + "epoch": 0.17, + "learning_rate": 9.46864550530519e-06, + "loss": 0.5649, + "step": 5911 + }, + { + "epoch": 0.17, + "learning_rate": 9.468432052097104e-06, + "loss": 0.7042, + "step": 5912 + }, + { + "epoch": 0.17, + "learning_rate": 9.468218558430868e-06, + "loss": 0.913, + "step": 5913 + }, + { + "epoch": 0.17, + "learning_rate": 9.46800502430842e-06, + "loss": 0.9155, + "step": 5914 + }, + { + "epoch": 0.17, + "learning_rate": 9.46779144973169e-06, + "loss": 0.8572, + "step": 5915 + }, + { + "epoch": 0.17, + "learning_rate": 9.467577834702613e-06, + "loss": 0.7189, + "step": 5916 + }, + { + "epoch": 0.17, + "learning_rate": 9.467364179223124e-06, + "loss": 0.827, + "step": 5917 + }, + { + "epoch": 0.17, + "learning_rate": 9.467150483295156e-06, + "loss": 0.6535, + "step": 5918 + }, + { + "epoch": 0.17, + "learning_rate": 9.466936746920644e-06, + "loss": 0.7528, + "step": 5919 + }, + { + "epoch": 0.17, + "learning_rate": 9.466722970101522e-06, + "loss": 0.8787, + "step": 5920 + }, + { + "epoch": 0.17, + "learning_rate": 9.466509152839729e-06, + "loss": 0.9441, + "step": 5921 + }, + { + "epoch": 0.17, + "learning_rate": 9.4662952951372e-06, + "loss": 0.9033, + "step": 5922 + }, + { + "epoch": 0.17, + "learning_rate": 9.466081396995867e-06, + "loss": 1.0551, + "step": 5923 + }, + { + "epoch": 0.17, + "learning_rate": 9.465867458417672e-06, + "loss": 0.65, + "step": 5924 + }, + { + "epoch": 0.17, + "learning_rate": 9.46565347940455e-06, + "loss": 0.7307, + "step": 5925 + }, + { + "epoch": 0.17, + "learning_rate": 9.465439459958439e-06, + "loss": 0.7493, + "step": 5926 + }, + { + "epoch": 0.17, + "learning_rate": 9.465225400081275e-06, + "loss": 0.7046, + "step": 5927 + }, + { + "epoch": 0.17, + "learning_rate": 9.465011299774997e-06, + "loss": 0.6934, + "step": 5928 + }, + { + "epoch": 0.17, + "learning_rate": 9.464797159041545e-06, + "loss": 0.5285, + "step": 5929 + }, + { + "epoch": 0.17, + "learning_rate": 9.464582977882856e-06, + "loss": 0.7258, + "step": 5930 + }, + { + "epoch": 0.17, + "learning_rate": 9.464368756300873e-06, + "loss": 0.6057, + "step": 5931 + }, + { + "epoch": 0.17, + "learning_rate": 9.464154494297529e-06, + "loss": 0.7414, + "step": 5932 + }, + { + "epoch": 0.17, + "learning_rate": 9.463940191874769e-06, + "loss": 0.8374, + "step": 5933 + }, + { + "epoch": 0.17, + "learning_rate": 9.463725849034532e-06, + "loss": 0.737, + "step": 5934 + }, + { + "epoch": 0.17, + "learning_rate": 9.46351146577876e-06, + "loss": 0.6485, + "step": 5935 + }, + { + "epoch": 0.17, + "learning_rate": 9.463297042109389e-06, + "loss": 0.8282, + "step": 5936 + }, + { + "epoch": 0.17, + "learning_rate": 9.463082578028366e-06, + "loss": 0.7746, + "step": 5937 + }, + { + "epoch": 0.17, + "learning_rate": 9.462868073537631e-06, + "loss": 0.5653, + "step": 5938 + }, + { + "epoch": 0.17, + "learning_rate": 9.462653528639127e-06, + "loss": 0.8215, + "step": 5939 + }, + { + "epoch": 0.17, + "learning_rate": 9.462438943334795e-06, + "loss": 0.9112, + "step": 5940 + }, + { + "epoch": 0.17, + "learning_rate": 9.462224317626579e-06, + "loss": 0.7598, + "step": 5941 + }, + { + "epoch": 0.17, + "learning_rate": 9.462009651516421e-06, + "loss": 0.8965, + "step": 5942 + }, + { + "epoch": 0.17, + "learning_rate": 9.461794945006267e-06, + "loss": 0.7788, + "step": 5943 + }, + { + "epoch": 0.17, + "learning_rate": 9.461580198098056e-06, + "loss": 0.7795, + "step": 5944 + }, + { + "epoch": 0.17, + "learning_rate": 9.461365410793739e-06, + "loss": 0.6883, + "step": 5945 + }, + { + "epoch": 0.17, + "learning_rate": 9.461150583095257e-06, + "loss": 0.6866, + "step": 5946 + }, + { + "epoch": 0.17, + "learning_rate": 9.460935715004555e-06, + "loss": 0.6738, + "step": 5947 + }, + { + "epoch": 0.17, + "learning_rate": 9.46072080652358e-06, + "loss": 0.7786, + "step": 5948 + }, + { + "epoch": 0.17, + "learning_rate": 9.460505857654277e-06, + "loss": 0.7952, + "step": 5949 + }, + { + "epoch": 0.17, + "learning_rate": 9.46029086839859e-06, + "loss": 0.5832, + "step": 5950 + }, + { + "epoch": 0.17, + "learning_rate": 9.46007583875847e-06, + "loss": 0.9268, + "step": 5951 + }, + { + "epoch": 0.17, + "learning_rate": 9.45986076873586e-06, + "loss": 0.6451, + "step": 5952 + }, + { + "epoch": 0.17, + "learning_rate": 9.45964565833271e-06, + "loss": 1.1262, + "step": 5953 + }, + { + "epoch": 0.17, + "learning_rate": 9.459430507550966e-06, + "loss": 0.9197, + "step": 5954 + }, + { + "epoch": 0.17, + "learning_rate": 9.459215316392578e-06, + "loss": 0.6816, + "step": 5955 + }, + { + "epoch": 0.17, + "learning_rate": 9.459000084859491e-06, + "loss": 0.7829, + "step": 5956 + }, + { + "epoch": 0.18, + "learning_rate": 9.458784812953657e-06, + "loss": 0.5233, + "step": 5957 + }, + { + "epoch": 0.18, + "learning_rate": 9.458569500677021e-06, + "loss": 0.7714, + "step": 5958 + }, + { + "epoch": 0.18, + "learning_rate": 9.458354148031538e-06, + "loss": 0.9846, + "step": 5959 + }, + { + "epoch": 0.18, + "learning_rate": 9.458138755019156e-06, + "loss": 0.7018, + "step": 5960 + }, + { + "epoch": 0.18, + "learning_rate": 9.457923321641825e-06, + "loss": 0.7247, + "step": 5961 + }, + { + "epoch": 0.18, + "learning_rate": 9.457707847901492e-06, + "loss": 0.6157, + "step": 5962 + }, + { + "epoch": 0.18, + "learning_rate": 9.457492333800111e-06, + "loss": 0.8646, + "step": 5963 + }, + { + "epoch": 0.18, + "learning_rate": 9.457276779339635e-06, + "loss": 1.1051, + "step": 5964 + }, + { + "epoch": 0.18, + "learning_rate": 9.457061184522014e-06, + "loss": 1.1235, + "step": 5965 + }, + { + "epoch": 0.18, + "learning_rate": 9.456845549349198e-06, + "loss": 0.6704, + "step": 5966 + }, + { + "epoch": 0.18, + "learning_rate": 9.456629873823144e-06, + "loss": 0.4846, + "step": 5967 + }, + { + "epoch": 0.18, + "learning_rate": 9.4564141579458e-06, + "loss": 0.8613, + "step": 5968 + }, + { + "epoch": 0.18, + "learning_rate": 9.456198401719121e-06, + "loss": 0.8672, + "step": 5969 + }, + { + "epoch": 0.18, + "learning_rate": 9.455982605145064e-06, + "loss": 1.0424, + "step": 5970 + }, + { + "epoch": 0.18, + "learning_rate": 9.455766768225577e-06, + "loss": 0.7495, + "step": 5971 + }, + { + "epoch": 0.18, + "learning_rate": 9.455550890962617e-06, + "loss": 0.8641, + "step": 5972 + }, + { + "epoch": 0.18, + "learning_rate": 9.455334973358139e-06, + "loss": 0.667, + "step": 5973 + }, + { + "epoch": 0.18, + "learning_rate": 9.455119015414096e-06, + "loss": 0.7978, + "step": 5974 + }, + { + "epoch": 0.18, + "learning_rate": 9.454903017132446e-06, + "loss": 0.5452, + "step": 5975 + }, + { + "epoch": 0.18, + "learning_rate": 9.454686978515144e-06, + "loss": 1.076, + "step": 5976 + }, + { + "epoch": 0.18, + "learning_rate": 9.454470899564145e-06, + "loss": 0.751, + "step": 5977 + }, + { + "epoch": 0.18, + "learning_rate": 9.454254780281406e-06, + "loss": 0.7199, + "step": 5978 + }, + { + "epoch": 0.18, + "learning_rate": 9.454038620668884e-06, + "loss": 0.8087, + "step": 5979 + }, + { + "epoch": 0.18, + "learning_rate": 9.453822420728535e-06, + "loss": 0.7248, + "step": 5980 + }, + { + "epoch": 0.18, + "learning_rate": 9.453606180462318e-06, + "loss": 0.6804, + "step": 5981 + }, + { + "epoch": 0.18, + "learning_rate": 9.453389899872189e-06, + "loss": 0.5468, + "step": 5982 + }, + { + "epoch": 0.18, + "learning_rate": 9.45317357896011e-06, + "loss": 0.8154, + "step": 5983 + }, + { + "epoch": 0.18, + "learning_rate": 9.452957217728037e-06, + "loss": 0.8625, + "step": 5984 + }, + { + "epoch": 0.18, + "learning_rate": 9.452740816177927e-06, + "loss": 0.543, + "step": 5985 + }, + { + "epoch": 0.18, + "learning_rate": 9.452524374311742e-06, + "loss": 0.8339, + "step": 5986 + }, + { + "epoch": 0.18, + "learning_rate": 9.452307892131443e-06, + "loss": 0.7274, + "step": 5987 + }, + { + "epoch": 0.18, + "learning_rate": 9.452091369638986e-06, + "loss": 0.7875, + "step": 5988 + }, + { + "epoch": 0.18, + "learning_rate": 9.451874806836334e-06, + "loss": 0.8914, + "step": 5989 + }, + { + "epoch": 0.18, + "learning_rate": 9.451658203725449e-06, + "loss": 0.8234, + "step": 5990 + }, + { + "epoch": 0.18, + "learning_rate": 9.45144156030829e-06, + "loss": 1.0591, + "step": 5991 + }, + { + "epoch": 0.18, + "learning_rate": 9.45122487658682e-06, + "loss": 0.697, + "step": 5992 + }, + { + "epoch": 0.18, + "learning_rate": 9.451008152562999e-06, + "loss": 0.6596, + "step": 5993 + }, + { + "epoch": 0.18, + "learning_rate": 9.450791388238791e-06, + "loss": 0.7087, + "step": 5994 + }, + { + "epoch": 0.18, + "learning_rate": 9.450574583616156e-06, + "loss": 0.6953, + "step": 5995 + }, + { + "epoch": 0.18, + "learning_rate": 9.450357738697063e-06, + "loss": 0.7287, + "step": 5996 + }, + { + "epoch": 0.18, + "learning_rate": 9.45014085348347e-06, + "loss": 1.0369, + "step": 5997 + }, + { + "epoch": 0.18, + "learning_rate": 9.44992392797734e-06, + "loss": 0.3439, + "step": 5998 + }, + { + "epoch": 0.18, + "learning_rate": 9.44970696218064e-06, + "loss": 1.0372, + "step": 5999 + }, + { + "epoch": 0.18, + "learning_rate": 9.449489956095334e-06, + "loss": 0.6988, + "step": 6000 + }, + { + "epoch": 0.18, + "learning_rate": 9.449272909723388e-06, + "loss": 0.6638, + "step": 6001 + }, + { + "epoch": 0.18, + "learning_rate": 9.449055823066764e-06, + "loss": 0.8013, + "step": 6002 + }, + { + "epoch": 0.18, + "learning_rate": 9.44883869612743e-06, + "loss": 0.6639, + "step": 6003 + }, + { + "epoch": 0.18, + "learning_rate": 9.44862152890735e-06, + "loss": 0.6739, + "step": 6004 + }, + { + "epoch": 0.18, + "learning_rate": 9.448404321408493e-06, + "loss": 0.899, + "step": 6005 + }, + { + "epoch": 0.18, + "learning_rate": 9.448187073632821e-06, + "loss": 0.67, + "step": 6006 + }, + { + "epoch": 0.18, + "learning_rate": 9.447969785582306e-06, + "loss": 0.7329, + "step": 6007 + }, + { + "epoch": 0.18, + "learning_rate": 9.447752457258915e-06, + "loss": 0.8808, + "step": 6008 + }, + { + "epoch": 0.18, + "learning_rate": 9.447535088664613e-06, + "loss": 0.7027, + "step": 6009 + }, + { + "epoch": 0.18, + "learning_rate": 9.447317679801369e-06, + "loss": 0.635, + "step": 6010 + }, + { + "epoch": 0.18, + "learning_rate": 9.447100230671152e-06, + "loss": 1.0622, + "step": 6011 + }, + { + "epoch": 0.18, + "learning_rate": 9.44688274127593e-06, + "loss": 0.8699, + "step": 6012 + }, + { + "epoch": 0.18, + "learning_rate": 9.446665211617673e-06, + "loss": 0.752, + "step": 6013 + }, + { + "epoch": 0.18, + "learning_rate": 9.446447641698351e-06, + "loss": 0.8352, + "step": 6014 + }, + { + "epoch": 0.18, + "learning_rate": 9.446230031519932e-06, + "loss": 0.8528, + "step": 6015 + }, + { + "epoch": 0.18, + "learning_rate": 9.446012381084389e-06, + "loss": 0.7523, + "step": 6016 + }, + { + "epoch": 0.18, + "learning_rate": 9.445794690393691e-06, + "loss": 0.8653, + "step": 6017 + }, + { + "epoch": 0.18, + "learning_rate": 9.445576959449809e-06, + "loss": 0.6137, + "step": 6018 + }, + { + "epoch": 0.18, + "learning_rate": 9.445359188254715e-06, + "loss": 0.682, + "step": 6019 + }, + { + "epoch": 0.18, + "learning_rate": 9.445141376810378e-06, + "loss": 0.7806, + "step": 6020 + }, + { + "epoch": 0.18, + "learning_rate": 9.444923525118775e-06, + "loss": 1.0851, + "step": 6021 + }, + { + "epoch": 0.18, + "learning_rate": 9.444705633181875e-06, + "loss": 0.6617, + "step": 6022 + }, + { + "epoch": 0.18, + "learning_rate": 9.444487701001652e-06, + "loss": 0.8563, + "step": 6023 + }, + { + "epoch": 0.18, + "learning_rate": 9.444269728580078e-06, + "loss": 0.7767, + "step": 6024 + }, + { + "epoch": 0.18, + "learning_rate": 9.44405171591913e-06, + "loss": 0.7203, + "step": 6025 + }, + { + "epoch": 0.18, + "learning_rate": 9.443833663020777e-06, + "loss": 0.8023, + "step": 6026 + }, + { + "epoch": 0.18, + "learning_rate": 9.443615569886997e-06, + "loss": 0.9059, + "step": 6027 + }, + { + "epoch": 0.18, + "learning_rate": 9.443397436519763e-06, + "loss": 0.7257, + "step": 6028 + }, + { + "epoch": 0.18, + "learning_rate": 9.44317926292105e-06, + "loss": 0.9813, + "step": 6029 + }, + { + "epoch": 0.18, + "learning_rate": 9.442961049092833e-06, + "loss": 0.9415, + "step": 6030 + }, + { + "epoch": 0.18, + "learning_rate": 9.442742795037091e-06, + "loss": 0.6119, + "step": 6031 + }, + { + "epoch": 0.18, + "learning_rate": 9.442524500755796e-06, + "loss": 0.7049, + "step": 6032 + }, + { + "epoch": 0.18, + "learning_rate": 9.442306166250927e-06, + "loss": 0.6819, + "step": 6033 + }, + { + "epoch": 0.18, + "learning_rate": 9.44208779152446e-06, + "loss": 0.5118, + "step": 6034 + }, + { + "epoch": 0.18, + "learning_rate": 9.441869376578374e-06, + "loss": 0.6969, + "step": 6035 + }, + { + "epoch": 0.18, + "learning_rate": 9.441650921414642e-06, + "loss": 0.8965, + "step": 6036 + }, + { + "epoch": 0.18, + "learning_rate": 9.441432426035246e-06, + "loss": 0.8156, + "step": 6037 + }, + { + "epoch": 0.18, + "learning_rate": 9.441213890442164e-06, + "loss": 0.5216, + "step": 6038 + }, + { + "epoch": 0.18, + "learning_rate": 9.440995314637372e-06, + "loss": 0.7291, + "step": 6039 + }, + { + "epoch": 0.18, + "learning_rate": 9.440776698622852e-06, + "loss": 0.7217, + "step": 6040 + }, + { + "epoch": 0.18, + "learning_rate": 9.440558042400581e-06, + "loss": 0.7769, + "step": 6041 + }, + { + "epoch": 0.18, + "learning_rate": 9.440339345972542e-06, + "loss": 0.793, + "step": 6042 + }, + { + "epoch": 0.18, + "learning_rate": 9.44012060934071e-06, + "loss": 1.0005, + "step": 6043 + }, + { + "epoch": 0.18, + "learning_rate": 9.439901832507071e-06, + "loss": 0.6014, + "step": 6044 + }, + { + "epoch": 0.18, + "learning_rate": 9.439683015473604e-06, + "loss": 0.6623, + "step": 6045 + }, + { + "epoch": 0.18, + "learning_rate": 9.439464158242287e-06, + "loss": 0.7924, + "step": 6046 + }, + { + "epoch": 0.18, + "learning_rate": 9.439245260815106e-06, + "loss": 0.9118, + "step": 6047 + }, + { + "epoch": 0.18, + "learning_rate": 9.43902632319404e-06, + "loss": 1.0708, + "step": 6048 + }, + { + "epoch": 0.18, + "learning_rate": 9.438807345381075e-06, + "loss": 0.9962, + "step": 6049 + }, + { + "epoch": 0.18, + "learning_rate": 9.438588327378189e-06, + "loss": 0.6442, + "step": 6050 + }, + { + "epoch": 0.18, + "learning_rate": 9.438369269187367e-06, + "loss": 0.5134, + "step": 6051 + }, + { + "epoch": 0.18, + "learning_rate": 9.438150170810594e-06, + "loss": 0.6395, + "step": 6052 + }, + { + "epoch": 0.18, + "learning_rate": 9.437931032249852e-06, + "loss": 0.8667, + "step": 6053 + }, + { + "epoch": 0.18, + "learning_rate": 9.437711853507123e-06, + "loss": 0.7256, + "step": 6054 + }, + { + "epoch": 0.18, + "learning_rate": 9.437492634584398e-06, + "loss": 0.6627, + "step": 6055 + }, + { + "epoch": 0.18, + "learning_rate": 9.437273375483656e-06, + "loss": 0.9922, + "step": 6056 + }, + { + "epoch": 0.18, + "learning_rate": 9.437054076206882e-06, + "loss": 0.8453, + "step": 6057 + }, + { + "epoch": 0.18, + "learning_rate": 9.436834736756066e-06, + "loss": 0.9611, + "step": 6058 + }, + { + "epoch": 0.18, + "learning_rate": 9.43661535713319e-06, + "loss": 0.7909, + "step": 6059 + }, + { + "epoch": 0.18, + "learning_rate": 9.436395937340244e-06, + "loss": 0.8402, + "step": 6060 + }, + { + "epoch": 0.18, + "learning_rate": 9.436176477379211e-06, + "loss": 0.7908, + "step": 6061 + }, + { + "epoch": 0.18, + "learning_rate": 9.435956977252081e-06, + "loss": 1.0558, + "step": 6062 + }, + { + "epoch": 0.18, + "learning_rate": 9.43573743696084e-06, + "loss": 0.917, + "step": 6063 + }, + { + "epoch": 0.18, + "learning_rate": 9.435517856507473e-06, + "loss": 0.8031, + "step": 6064 + }, + { + "epoch": 0.18, + "learning_rate": 9.435298235893972e-06, + "loss": 0.8018, + "step": 6065 + }, + { + "epoch": 0.18, + "learning_rate": 9.435078575122326e-06, + "loss": 0.6887, + "step": 6066 + }, + { + "epoch": 0.18, + "learning_rate": 9.434858874194521e-06, + "loss": 0.7993, + "step": 6067 + }, + { + "epoch": 0.18, + "learning_rate": 9.434639133112548e-06, + "loss": 0.8694, + "step": 6068 + }, + { + "epoch": 0.18, + "learning_rate": 9.434419351878395e-06, + "loss": 0.824, + "step": 6069 + }, + { + "epoch": 0.18, + "learning_rate": 9.434199530494054e-06, + "loss": 0.6166, + "step": 6070 + }, + { + "epoch": 0.18, + "learning_rate": 9.433979668961515e-06, + "loss": 0.8247, + "step": 6071 + }, + { + "epoch": 0.18, + "learning_rate": 9.433759767282766e-06, + "loss": 0.7461, + "step": 6072 + }, + { + "epoch": 0.18, + "learning_rate": 9.433539825459801e-06, + "loss": 0.8819, + "step": 6073 + }, + { + "epoch": 0.18, + "learning_rate": 9.43331984349461e-06, + "loss": 0.9457, + "step": 6074 + }, + { + "epoch": 0.18, + "learning_rate": 9.433099821389186e-06, + "loss": 0.8817, + "step": 6075 + }, + { + "epoch": 0.18, + "learning_rate": 9.432879759145522e-06, + "loss": 0.5713, + "step": 6076 + }, + { + "epoch": 0.18, + "learning_rate": 9.432659656765607e-06, + "loss": 0.8859, + "step": 6077 + }, + { + "epoch": 0.18, + "learning_rate": 9.432439514251434e-06, + "loss": 0.7611, + "step": 6078 + }, + { + "epoch": 0.18, + "learning_rate": 9.432219331605e-06, + "loss": 0.6864, + "step": 6079 + }, + { + "epoch": 0.18, + "learning_rate": 9.431999108828293e-06, + "loss": 0.7998, + "step": 6080 + }, + { + "epoch": 0.18, + "learning_rate": 9.431778845923314e-06, + "loss": 0.7685, + "step": 6081 + }, + { + "epoch": 0.18, + "learning_rate": 9.431558542892052e-06, + "loss": 0.705, + "step": 6082 + }, + { + "epoch": 0.18, + "learning_rate": 9.431338199736504e-06, + "loss": 0.6587, + "step": 6083 + }, + { + "epoch": 0.18, + "learning_rate": 9.431117816458666e-06, + "loss": 0.7736, + "step": 6084 + }, + { + "epoch": 0.18, + "learning_rate": 9.43089739306053e-06, + "loss": 1.0575, + "step": 6085 + }, + { + "epoch": 0.18, + "learning_rate": 9.430676929544094e-06, + "loss": 0.702, + "step": 6086 + }, + { + "epoch": 0.18, + "learning_rate": 9.430456425911353e-06, + "loss": 0.9395, + "step": 6087 + }, + { + "epoch": 0.18, + "learning_rate": 9.430235882164305e-06, + "loss": 0.7505, + "step": 6088 + }, + { + "epoch": 0.18, + "learning_rate": 9.430015298304943e-06, + "loss": 0.7593, + "step": 6089 + }, + { + "epoch": 0.18, + "learning_rate": 9.429794674335272e-06, + "loss": 0.7232, + "step": 6090 + }, + { + "epoch": 0.18, + "learning_rate": 9.429574010257284e-06, + "loss": 0.6869, + "step": 6091 + }, + { + "epoch": 0.18, + "learning_rate": 9.429353306072975e-06, + "loss": 0.9655, + "step": 6092 + }, + { + "epoch": 0.18, + "learning_rate": 9.429132561784348e-06, + "loss": 0.5581, + "step": 6093 + }, + { + "epoch": 0.18, + "learning_rate": 9.428911777393399e-06, + "loss": 0.8687, + "step": 6094 + }, + { + "epoch": 0.18, + "learning_rate": 9.428690952902128e-06, + "loss": 0.7492, + "step": 6095 + }, + { + "epoch": 0.18, + "learning_rate": 9.428470088312533e-06, + "loss": 0.5343, + "step": 6096 + }, + { + "epoch": 0.18, + "learning_rate": 9.428249183626617e-06, + "loss": 0.8327, + "step": 6097 + }, + { + "epoch": 0.18, + "learning_rate": 9.428028238846376e-06, + "loss": 0.8225, + "step": 6098 + }, + { + "epoch": 0.18, + "learning_rate": 9.427807253973814e-06, + "loss": 0.7639, + "step": 6099 + }, + { + "epoch": 0.18, + "learning_rate": 9.42758622901093e-06, + "loss": 0.7597, + "step": 6100 + }, + { + "epoch": 0.18, + "learning_rate": 9.427365163959725e-06, + "loss": 0.8507, + "step": 6101 + }, + { + "epoch": 0.18, + "learning_rate": 9.427144058822202e-06, + "loss": 0.6587, + "step": 6102 + }, + { + "epoch": 0.18, + "learning_rate": 9.426922913600363e-06, + "loss": 0.8653, + "step": 6103 + }, + { + "epoch": 0.18, + "learning_rate": 9.426701728296206e-06, + "loss": 1.0775, + "step": 6104 + }, + { + "epoch": 0.18, + "learning_rate": 9.426480502911739e-06, + "loss": 0.6321, + "step": 6105 + }, + { + "epoch": 0.18, + "learning_rate": 9.426259237448964e-06, + "loss": 0.9316, + "step": 6106 + }, + { + "epoch": 0.18, + "learning_rate": 9.42603793190988e-06, + "loss": 0.5891, + "step": 6107 + }, + { + "epoch": 0.18, + "learning_rate": 9.425816586296498e-06, + "loss": 0.7003, + "step": 6108 + }, + { + "epoch": 0.18, + "learning_rate": 9.425595200610817e-06, + "loss": 0.5339, + "step": 6109 + }, + { + "epoch": 0.18, + "learning_rate": 9.425373774854843e-06, + "loss": 0.6421, + "step": 6110 + }, + { + "epoch": 0.18, + "learning_rate": 9.42515230903058e-06, + "loss": 0.7807, + "step": 6111 + }, + { + "epoch": 0.18, + "learning_rate": 9.424930803140033e-06, + "loss": 0.7404, + "step": 6112 + }, + { + "epoch": 0.18, + "learning_rate": 9.424709257185211e-06, + "loss": 0.9342, + "step": 6113 + }, + { + "epoch": 0.18, + "learning_rate": 9.424487671168115e-06, + "loss": 0.9499, + "step": 6114 + }, + { + "epoch": 0.18, + "learning_rate": 9.424266045090755e-06, + "loss": 0.847, + "step": 6115 + }, + { + "epoch": 0.18, + "learning_rate": 9.424044378955134e-06, + "loss": 0.7761, + "step": 6116 + }, + { + "epoch": 0.18, + "learning_rate": 9.423822672763263e-06, + "loss": 0.7328, + "step": 6117 + }, + { + "epoch": 0.18, + "learning_rate": 9.423600926517148e-06, + "loss": 0.6297, + "step": 6118 + }, + { + "epoch": 0.18, + "learning_rate": 9.423379140218794e-06, + "loss": 1.1282, + "step": 6119 + }, + { + "epoch": 0.18, + "learning_rate": 9.423157313870214e-06, + "loss": 0.6081, + "step": 6120 + }, + { + "epoch": 0.18, + "learning_rate": 9.422935447473413e-06, + "loss": 0.678, + "step": 6121 + }, + { + "epoch": 0.18, + "learning_rate": 9.422713541030399e-06, + "loss": 0.7583, + "step": 6122 + }, + { + "epoch": 0.18, + "learning_rate": 9.422491594543187e-06, + "loss": 0.9273, + "step": 6123 + }, + { + "epoch": 0.18, + "learning_rate": 9.422269608013778e-06, + "loss": 0.7169, + "step": 6124 + }, + { + "epoch": 0.18, + "learning_rate": 9.422047581444189e-06, + "loss": 0.8554, + "step": 6125 + }, + { + "epoch": 0.18, + "learning_rate": 9.421825514836427e-06, + "loss": 0.782, + "step": 6126 + }, + { + "epoch": 0.18, + "learning_rate": 9.421603408192504e-06, + "loss": 0.8255, + "step": 6127 + }, + { + "epoch": 0.18, + "learning_rate": 9.421381261514428e-06, + "loss": 0.7849, + "step": 6128 + }, + { + "epoch": 0.18, + "learning_rate": 9.421159074804216e-06, + "loss": 0.856, + "step": 6129 + }, + { + "epoch": 0.18, + "learning_rate": 9.420936848063874e-06, + "loss": 0.7363, + "step": 6130 + }, + { + "epoch": 0.18, + "learning_rate": 9.420714581295418e-06, + "loss": 0.7235, + "step": 6131 + }, + { + "epoch": 0.18, + "learning_rate": 9.420492274500856e-06, + "loss": 0.8754, + "step": 6132 + }, + { + "epoch": 0.18, + "learning_rate": 9.420269927682206e-06, + "loss": 0.6352, + "step": 6133 + }, + { + "epoch": 0.18, + "learning_rate": 9.420047540841479e-06, + "loss": 0.886, + "step": 6134 + }, + { + "epoch": 0.18, + "learning_rate": 9.41982511398069e-06, + "loss": 0.9057, + "step": 6135 + }, + { + "epoch": 0.18, + "learning_rate": 9.41960264710185e-06, + "loss": 0.9495, + "step": 6136 + }, + { + "epoch": 0.18, + "learning_rate": 9.419380140206974e-06, + "loss": 0.7543, + "step": 6137 + }, + { + "epoch": 0.18, + "learning_rate": 9.419157593298075e-06, + "loss": 0.7924, + "step": 6138 + }, + { + "epoch": 0.18, + "learning_rate": 9.418935006377175e-06, + "loss": 0.6507, + "step": 6139 + }, + { + "epoch": 0.18, + "learning_rate": 9.41871237944628e-06, + "loss": 0.8291, + "step": 6140 + }, + { + "epoch": 0.18, + "learning_rate": 9.418489712507413e-06, + "loss": 0.6229, + "step": 6141 + }, + { + "epoch": 0.18, + "learning_rate": 9.418267005562586e-06, + "loss": 0.8461, + "step": 6142 + }, + { + "epoch": 0.18, + "learning_rate": 9.418044258613818e-06, + "loss": 0.7385, + "step": 6143 + }, + { + "epoch": 0.18, + "learning_rate": 9.417821471663126e-06, + "loss": 0.7694, + "step": 6144 + }, + { + "epoch": 0.18, + "learning_rate": 9.417598644712525e-06, + "loss": 0.9953, + "step": 6145 + }, + { + "epoch": 0.18, + "learning_rate": 9.41737577776403e-06, + "loss": 0.8007, + "step": 6146 + }, + { + "epoch": 0.18, + "learning_rate": 9.417152870819666e-06, + "loss": 0.9698, + "step": 6147 + }, + { + "epoch": 0.18, + "learning_rate": 9.416929923881445e-06, + "loss": 0.8487, + "step": 6148 + }, + { + "epoch": 0.18, + "learning_rate": 9.41670693695139e-06, + "loss": 0.9367, + "step": 6149 + }, + { + "epoch": 0.18, + "learning_rate": 9.416483910031516e-06, + "loss": 0.6676, + "step": 6150 + }, + { + "epoch": 0.18, + "learning_rate": 9.416260843123845e-06, + "loss": 0.7058, + "step": 6151 + }, + { + "epoch": 0.18, + "learning_rate": 9.416037736230396e-06, + "loss": 0.8338, + "step": 6152 + }, + { + "epoch": 0.18, + "learning_rate": 9.415814589353192e-06, + "loss": 0.5348, + "step": 6153 + }, + { + "epoch": 0.18, + "learning_rate": 9.415591402494246e-06, + "loss": 0.7934, + "step": 6154 + }, + { + "epoch": 0.18, + "learning_rate": 9.415368175655586e-06, + "loss": 0.6487, + "step": 6155 + }, + { + "epoch": 0.18, + "learning_rate": 9.41514490883923e-06, + "loss": 0.8392, + "step": 6156 + }, + { + "epoch": 0.18, + "learning_rate": 9.4149216020472e-06, + "loss": 0.7017, + "step": 6157 + }, + { + "epoch": 0.18, + "learning_rate": 9.414698255281518e-06, + "loss": 0.6431, + "step": 6158 + }, + { + "epoch": 0.18, + "learning_rate": 9.414474868544206e-06, + "loss": 0.8165, + "step": 6159 + }, + { + "epoch": 0.18, + "learning_rate": 9.414251441837286e-06, + "loss": 0.6723, + "step": 6160 + }, + { + "epoch": 0.18, + "learning_rate": 9.41402797516278e-06, + "loss": 0.9008, + "step": 6161 + }, + { + "epoch": 0.18, + "learning_rate": 9.413804468522716e-06, + "loss": 0.7006, + "step": 6162 + }, + { + "epoch": 0.18, + "learning_rate": 9.413580921919113e-06, + "loss": 0.9792, + "step": 6163 + }, + { + "epoch": 0.18, + "learning_rate": 9.413357335353996e-06, + "loss": 0.7001, + "step": 6164 + }, + { + "epoch": 0.18, + "learning_rate": 9.413133708829391e-06, + "loss": 0.6635, + "step": 6165 + }, + { + "epoch": 0.18, + "learning_rate": 9.412910042347322e-06, + "loss": 0.7797, + "step": 6166 + }, + { + "epoch": 0.18, + "learning_rate": 9.412686335909815e-06, + "loss": 0.884, + "step": 6167 + }, + { + "epoch": 0.18, + "learning_rate": 9.412462589518891e-06, + "loss": 0.7477, + "step": 6168 + }, + { + "epoch": 0.18, + "learning_rate": 9.412238803176581e-06, + "loss": 1.0401, + "step": 6169 + }, + { + "epoch": 0.18, + "learning_rate": 9.412014976884911e-06, + "loss": 0.7343, + "step": 6170 + }, + { + "epoch": 0.18, + "learning_rate": 9.411791110645905e-06, + "loss": 0.6908, + "step": 6171 + }, + { + "epoch": 0.18, + "learning_rate": 9.41156720446159e-06, + "loss": 0.7464, + "step": 6172 + }, + { + "epoch": 0.18, + "learning_rate": 9.411343258333995e-06, + "loss": 0.8271, + "step": 6173 + }, + { + "epoch": 0.18, + "learning_rate": 9.411119272265148e-06, + "loss": 1.1849, + "step": 6174 + }, + { + "epoch": 0.18, + "learning_rate": 9.410895246257074e-06, + "loss": 0.5698, + "step": 6175 + }, + { + "epoch": 0.18, + "learning_rate": 9.410671180311803e-06, + "loss": 1.0362, + "step": 6176 + }, + { + "epoch": 0.18, + "learning_rate": 9.410447074431366e-06, + "loss": 0.8161, + "step": 6177 + }, + { + "epoch": 0.18, + "learning_rate": 9.410222928617789e-06, + "loss": 0.6999, + "step": 6178 + }, + { + "epoch": 0.18, + "learning_rate": 9.409998742873103e-06, + "loss": 0.8355, + "step": 6179 + }, + { + "epoch": 0.18, + "learning_rate": 9.409774517199337e-06, + "loss": 0.823, + "step": 6180 + }, + { + "epoch": 0.18, + "learning_rate": 9.409550251598523e-06, + "loss": 0.8519, + "step": 6181 + }, + { + "epoch": 0.18, + "learning_rate": 9.409325946072688e-06, + "loss": 0.8272, + "step": 6182 + }, + { + "epoch": 0.18, + "learning_rate": 9.409101600623867e-06, + "loss": 0.7067, + "step": 6183 + }, + { + "epoch": 0.18, + "learning_rate": 9.408877215254089e-06, + "loss": 0.899, + "step": 6184 + }, + { + "epoch": 0.18, + "learning_rate": 9.408652789965384e-06, + "loss": 0.7716, + "step": 6185 + }, + { + "epoch": 0.18, + "learning_rate": 9.408428324759789e-06, + "loss": 0.9188, + "step": 6186 + }, + { + "epoch": 0.18, + "learning_rate": 9.408203819639332e-06, + "loss": 0.6712, + "step": 6187 + }, + { + "epoch": 0.18, + "learning_rate": 9.407979274606047e-06, + "loss": 0.6568, + "step": 6188 + }, + { + "epoch": 0.18, + "learning_rate": 9.407754689661967e-06, + "loss": 0.6652, + "step": 6189 + }, + { + "epoch": 0.18, + "learning_rate": 9.407530064809125e-06, + "loss": 0.7651, + "step": 6190 + }, + { + "epoch": 0.18, + "learning_rate": 9.407305400049555e-06, + "loss": 0.8944, + "step": 6191 + }, + { + "epoch": 0.18, + "learning_rate": 9.407080695385293e-06, + "loss": 0.7985, + "step": 6192 + }, + { + "epoch": 0.18, + "learning_rate": 9.406855950818373e-06, + "loss": 0.6077, + "step": 6193 + }, + { + "epoch": 0.18, + "learning_rate": 9.406631166350829e-06, + "loss": 0.7871, + "step": 6194 + }, + { + "epoch": 0.18, + "learning_rate": 9.406406341984692e-06, + "loss": 0.9155, + "step": 6195 + }, + { + "epoch": 0.18, + "learning_rate": 9.406181477722006e-06, + "loss": 0.7159, + "step": 6196 + }, + { + "epoch": 0.18, + "learning_rate": 9.4059565735648e-06, + "loss": 0.6217, + "step": 6197 + }, + { + "epoch": 0.18, + "learning_rate": 9.405731629515115e-06, + "loss": 1.0718, + "step": 6198 + }, + { + "epoch": 0.18, + "learning_rate": 9.405506645574987e-06, + "loss": 0.718, + "step": 6199 + }, + { + "epoch": 0.18, + "learning_rate": 9.40528162174645e-06, + "loss": 0.5749, + "step": 6200 + }, + { + "epoch": 0.18, + "learning_rate": 9.405056558031544e-06, + "loss": 0.6694, + "step": 6201 + }, + { + "epoch": 0.18, + "learning_rate": 9.404831454432304e-06, + "loss": 0.8937, + "step": 6202 + }, + { + "epoch": 0.18, + "learning_rate": 9.404606310950772e-06, + "loss": 0.6339, + "step": 6203 + }, + { + "epoch": 0.18, + "learning_rate": 9.404381127588985e-06, + "loss": 0.8536, + "step": 6204 + }, + { + "epoch": 0.18, + "learning_rate": 9.404155904348982e-06, + "loss": 0.6225, + "step": 6205 + }, + { + "epoch": 0.18, + "learning_rate": 9.4039306412328e-06, + "loss": 0.6671, + "step": 6206 + }, + { + "epoch": 0.18, + "learning_rate": 9.403705338242482e-06, + "loss": 0.7041, + "step": 6207 + }, + { + "epoch": 0.18, + "learning_rate": 9.403479995380065e-06, + "loss": 0.6671, + "step": 6208 + }, + { + "epoch": 0.18, + "learning_rate": 9.40325461264759e-06, + "loss": 0.672, + "step": 6209 + }, + { + "epoch": 0.18, + "learning_rate": 9.403029190047099e-06, + "loss": 0.6433, + "step": 6210 + }, + { + "epoch": 0.18, + "learning_rate": 9.402803727580633e-06, + "loss": 0.6826, + "step": 6211 + }, + { + "epoch": 0.18, + "learning_rate": 9.402578225250232e-06, + "loss": 0.9997, + "step": 6212 + }, + { + "epoch": 0.18, + "learning_rate": 9.402352683057938e-06, + "loss": 0.8402, + "step": 6213 + }, + { + "epoch": 0.18, + "learning_rate": 9.402127101005794e-06, + "loss": 0.6732, + "step": 6214 + }, + { + "epoch": 0.18, + "learning_rate": 9.401901479095843e-06, + "loss": 0.868, + "step": 6215 + }, + { + "epoch": 0.18, + "learning_rate": 9.401675817330126e-06, + "loss": 0.4939, + "step": 6216 + }, + { + "epoch": 0.18, + "learning_rate": 9.401450115710687e-06, + "loss": 0.4649, + "step": 6217 + }, + { + "epoch": 0.18, + "learning_rate": 9.401224374239568e-06, + "loss": 0.8894, + "step": 6218 + }, + { + "epoch": 0.18, + "learning_rate": 9.400998592918818e-06, + "loss": 1.0549, + "step": 6219 + }, + { + "epoch": 0.18, + "learning_rate": 9.400772771750475e-06, + "loss": 0.7926, + "step": 6220 + }, + { + "epoch": 0.18, + "learning_rate": 9.400546910736586e-06, + "loss": 0.7269, + "step": 6221 + }, + { + "epoch": 0.18, + "learning_rate": 9.400321009879199e-06, + "loss": 0.8065, + "step": 6222 + }, + { + "epoch": 0.18, + "learning_rate": 9.400095069180353e-06, + "loss": 0.6545, + "step": 6223 + }, + { + "epoch": 0.18, + "learning_rate": 9.399869088642101e-06, + "loss": 0.603, + "step": 6224 + }, + { + "epoch": 0.18, + "learning_rate": 9.399643068266485e-06, + "loss": 0.8187, + "step": 6225 + }, + { + "epoch": 0.18, + "learning_rate": 9.39941700805555e-06, + "loss": 0.7495, + "step": 6226 + }, + { + "epoch": 0.18, + "learning_rate": 9.399190908011345e-06, + "loss": 0.4568, + "step": 6227 + }, + { + "epoch": 0.18, + "learning_rate": 9.398964768135919e-06, + "loss": 0.5938, + "step": 6228 + }, + { + "epoch": 0.18, + "learning_rate": 9.398738588431316e-06, + "loss": 0.8023, + "step": 6229 + }, + { + "epoch": 0.18, + "learning_rate": 9.398512368899585e-06, + "loss": 0.8091, + "step": 6230 + }, + { + "epoch": 0.18, + "learning_rate": 9.398286109542774e-06, + "loss": 0.7423, + "step": 6231 + }, + { + "epoch": 0.18, + "learning_rate": 9.398059810362935e-06, + "loss": 0.8324, + "step": 6232 + }, + { + "epoch": 0.18, + "learning_rate": 9.39783347136211e-06, + "loss": 0.8988, + "step": 6233 + }, + { + "epoch": 0.18, + "learning_rate": 9.397607092542356e-06, + "loss": 0.8466, + "step": 6234 + }, + { + "epoch": 0.18, + "learning_rate": 9.397380673905718e-06, + "loss": 0.7679, + "step": 6235 + }, + { + "epoch": 0.18, + "learning_rate": 9.397154215454248e-06, + "loss": 1.1413, + "step": 6236 + }, + { + "epoch": 0.18, + "learning_rate": 9.396927717189993e-06, + "loss": 0.7332, + "step": 6237 + }, + { + "epoch": 0.18, + "learning_rate": 9.396701179115007e-06, + "loss": 0.9605, + "step": 6238 + }, + { + "epoch": 0.18, + "learning_rate": 9.396474601231343e-06, + "loss": 0.8545, + "step": 6239 + }, + { + "epoch": 0.18, + "learning_rate": 9.396247983541047e-06, + "loss": 0.6637, + "step": 6240 + }, + { + "epoch": 0.18, + "learning_rate": 9.396021326046175e-06, + "loss": 0.7912, + "step": 6241 + }, + { + "epoch": 0.18, + "learning_rate": 9.395794628748778e-06, + "loss": 0.5205, + "step": 6242 + }, + { + "epoch": 0.18, + "learning_rate": 9.39556789165091e-06, + "loss": 0.7736, + "step": 6243 + }, + { + "epoch": 0.18, + "learning_rate": 9.39534111475462e-06, + "loss": 0.6588, + "step": 6244 + }, + { + "epoch": 0.18, + "learning_rate": 9.395114298061964e-06, + "loss": 0.836, + "step": 6245 + }, + { + "epoch": 0.18, + "learning_rate": 9.394887441574997e-06, + "loss": 0.899, + "step": 6246 + }, + { + "epoch": 0.18, + "learning_rate": 9.39466054529577e-06, + "loss": 0.6807, + "step": 6247 + }, + { + "epoch": 0.18, + "learning_rate": 9.39443360922634e-06, + "loss": 0.8395, + "step": 6248 + }, + { + "epoch": 0.18, + "learning_rate": 9.39420663336876e-06, + "loss": 1.0794, + "step": 6249 + }, + { + "epoch": 0.18, + "learning_rate": 9.393979617725085e-06, + "loss": 0.7717, + "step": 6250 + }, + { + "epoch": 0.18, + "learning_rate": 9.39375256229737e-06, + "loss": 0.9959, + "step": 6251 + }, + { + "epoch": 0.18, + "learning_rate": 9.393525467087675e-06, + "loss": 0.6856, + "step": 6252 + }, + { + "epoch": 0.18, + "learning_rate": 9.393298332098052e-06, + "loss": 0.915, + "step": 6253 + }, + { + "epoch": 0.18, + "learning_rate": 9.393071157330558e-06, + "loss": 0.8217, + "step": 6254 + }, + { + "epoch": 0.18, + "learning_rate": 9.39284394278725e-06, + "loss": 0.7113, + "step": 6255 + }, + { + "epoch": 0.18, + "learning_rate": 9.392616688470186e-06, + "loss": 0.8068, + "step": 6256 + }, + { + "epoch": 0.18, + "learning_rate": 9.392389394381425e-06, + "loss": 0.7686, + "step": 6257 + }, + { + "epoch": 0.18, + "learning_rate": 9.39216206052302e-06, + "loss": 0.5707, + "step": 6258 + }, + { + "epoch": 0.18, + "learning_rate": 9.391934686897035e-06, + "loss": 0.4827, + "step": 6259 + }, + { + "epoch": 0.18, + "learning_rate": 9.391707273505525e-06, + "loss": 0.7019, + "step": 6260 + }, + { + "epoch": 0.18, + "learning_rate": 9.391479820350551e-06, + "loss": 0.5178, + "step": 6261 + }, + { + "epoch": 0.18, + "learning_rate": 9.391252327434172e-06, + "loss": 0.9349, + "step": 6262 + }, + { + "epoch": 0.18, + "learning_rate": 9.391024794758447e-06, + "loss": 0.9204, + "step": 6263 + }, + { + "epoch": 0.18, + "learning_rate": 9.390797222325439e-06, + "loss": 0.8372, + "step": 6264 + }, + { + "epoch": 0.18, + "learning_rate": 9.390569610137203e-06, + "loss": 0.7558, + "step": 6265 + }, + { + "epoch": 0.18, + "learning_rate": 9.390341958195804e-06, + "loss": 0.826, + "step": 6266 + }, + { + "epoch": 0.18, + "learning_rate": 9.390114266503303e-06, + "loss": 0.6956, + "step": 6267 + }, + { + "epoch": 0.18, + "learning_rate": 9.389886535061761e-06, + "loss": 0.8206, + "step": 6268 + }, + { + "epoch": 0.18, + "learning_rate": 9.389658763873237e-06, + "loss": 0.6997, + "step": 6269 + }, + { + "epoch": 0.18, + "learning_rate": 9.389430952939798e-06, + "loss": 0.8336, + "step": 6270 + }, + { + "epoch": 0.18, + "learning_rate": 9.389203102263504e-06, + "loss": 0.9455, + "step": 6271 + }, + { + "epoch": 0.18, + "learning_rate": 9.38897521184642e-06, + "loss": 0.6661, + "step": 6272 + }, + { + "epoch": 0.18, + "learning_rate": 9.388747281690607e-06, + "loss": 0.8169, + "step": 6273 + }, + { + "epoch": 0.18, + "learning_rate": 9.38851931179813e-06, + "loss": 0.5048, + "step": 6274 + }, + { + "epoch": 0.18, + "learning_rate": 9.388291302171054e-06, + "loss": 0.7925, + "step": 6275 + }, + { + "epoch": 0.18, + "learning_rate": 9.38806325281144e-06, + "loss": 0.7033, + "step": 6276 + }, + { + "epoch": 0.18, + "learning_rate": 9.387835163721358e-06, + "loss": 0.6799, + "step": 6277 + }, + { + "epoch": 0.18, + "learning_rate": 9.387607034902867e-06, + "loss": 0.6157, + "step": 6278 + }, + { + "epoch": 0.18, + "learning_rate": 9.387378866358037e-06, + "loss": 0.9512, + "step": 6279 + }, + { + "epoch": 0.18, + "learning_rate": 9.387150658088933e-06, + "loss": 0.704, + "step": 6280 + }, + { + "epoch": 0.18, + "learning_rate": 9.38692241009762e-06, + "loss": 0.6891, + "step": 6281 + }, + { + "epoch": 0.18, + "learning_rate": 9.386694122386167e-06, + "loss": 0.7254, + "step": 6282 + }, + { + "epoch": 0.18, + "learning_rate": 9.386465794956638e-06, + "loss": 0.6587, + "step": 6283 + }, + { + "epoch": 0.18, + "learning_rate": 9.386237427811105e-06, + "loss": 0.8369, + "step": 6284 + }, + { + "epoch": 0.18, + "learning_rate": 9.38600902095163e-06, + "loss": 0.8969, + "step": 6285 + }, + { + "epoch": 0.18, + "learning_rate": 9.385780574380283e-06, + "loss": 0.7608, + "step": 6286 + }, + { + "epoch": 0.18, + "learning_rate": 9.385552088099134e-06, + "loss": 0.7201, + "step": 6287 + }, + { + "epoch": 0.18, + "learning_rate": 9.38532356211025e-06, + "loss": 0.6038, + "step": 6288 + }, + { + "epoch": 0.18, + "learning_rate": 9.385094996415701e-06, + "loss": 0.6965, + "step": 6289 + }, + { + "epoch": 0.18, + "learning_rate": 9.384866391017557e-06, + "loss": 0.7355, + "step": 6290 + }, + { + "epoch": 0.18, + "learning_rate": 9.384637745917885e-06, + "loss": 0.8031, + "step": 6291 + }, + { + "epoch": 0.18, + "learning_rate": 9.38440906111876e-06, + "loss": 0.8997, + "step": 6292 + }, + { + "epoch": 0.18, + "learning_rate": 9.384180336622251e-06, + "loss": 0.7631, + "step": 6293 + }, + { + "epoch": 0.18, + "learning_rate": 9.383951572430425e-06, + "loss": 0.4967, + "step": 6294 + }, + { + "epoch": 0.18, + "learning_rate": 9.383722768545358e-06, + "loss": 0.9643, + "step": 6295 + }, + { + "epoch": 0.18, + "learning_rate": 9.383493924969118e-06, + "loss": 0.7529, + "step": 6296 + }, + { + "epoch": 0.18, + "learning_rate": 9.38326504170378e-06, + "loss": 0.5736, + "step": 6297 + }, + { + "epoch": 0.19, + "learning_rate": 9.383036118751414e-06, + "loss": 0.8602, + "step": 6298 + }, + { + "epoch": 0.19, + "learning_rate": 9.382807156114095e-06, + "loss": 0.6262, + "step": 6299 + }, + { + "epoch": 0.19, + "learning_rate": 9.382578153793896e-06, + "loss": 0.6709, + "step": 6300 + }, + { + "epoch": 0.19, + "learning_rate": 9.382349111792886e-06, + "loss": 0.7356, + "step": 6301 + }, + { + "epoch": 0.19, + "learning_rate": 9.382120030113144e-06, + "loss": 0.6524, + "step": 6302 + }, + { + "epoch": 0.19, + "learning_rate": 9.381890908756743e-06, + "loss": 0.9475, + "step": 6303 + }, + { + "epoch": 0.19, + "learning_rate": 9.381661747725756e-06, + "loss": 0.705, + "step": 6304 + }, + { + "epoch": 0.19, + "learning_rate": 9.38143254702226e-06, + "loss": 0.7775, + "step": 6305 + }, + { + "epoch": 0.19, + "learning_rate": 9.381203306648328e-06, + "loss": 0.5777, + "step": 6306 + }, + { + "epoch": 0.19, + "learning_rate": 9.380974026606036e-06, + "loss": 0.6619, + "step": 6307 + }, + { + "epoch": 0.19, + "learning_rate": 9.380744706897462e-06, + "loss": 0.8432, + "step": 6308 + }, + { + "epoch": 0.19, + "learning_rate": 9.38051534752468e-06, + "loss": 0.963, + "step": 6309 + }, + { + "epoch": 0.19, + "learning_rate": 9.380285948489767e-06, + "loss": 0.6552, + "step": 6310 + }, + { + "epoch": 0.19, + "learning_rate": 9.380056509794799e-06, + "loss": 0.6645, + "step": 6311 + }, + { + "epoch": 0.19, + "learning_rate": 9.379827031441856e-06, + "loss": 0.743, + "step": 6312 + }, + { + "epoch": 0.19, + "learning_rate": 9.379597513433017e-06, + "loss": 0.6787, + "step": 6313 + }, + { + "epoch": 0.19, + "learning_rate": 9.379367955770355e-06, + "loss": 0.7866, + "step": 6314 + }, + { + "epoch": 0.19, + "learning_rate": 9.379138358455953e-06, + "loss": 0.898, + "step": 6315 + }, + { + "epoch": 0.19, + "learning_rate": 9.378908721491886e-06, + "loss": 0.6432, + "step": 6316 + }, + { + "epoch": 0.19, + "learning_rate": 9.378679044880237e-06, + "loss": 0.7085, + "step": 6317 + }, + { + "epoch": 0.19, + "learning_rate": 9.378449328623083e-06, + "loss": 0.8013, + "step": 6318 + }, + { + "epoch": 0.19, + "learning_rate": 9.378219572722504e-06, + "loss": 0.6405, + "step": 6319 + }, + { + "epoch": 0.19, + "learning_rate": 9.377989777180584e-06, + "loss": 0.7823, + "step": 6320 + }, + { + "epoch": 0.19, + "learning_rate": 9.377759941999396e-06, + "loss": 0.7692, + "step": 6321 + }, + { + "epoch": 0.19, + "learning_rate": 9.377530067181029e-06, + "loss": 0.9538, + "step": 6322 + }, + { + "epoch": 0.19, + "learning_rate": 9.37730015272756e-06, + "loss": 1.1308, + "step": 6323 + }, + { + "epoch": 0.19, + "learning_rate": 9.37707019864107e-06, + "loss": 0.5781, + "step": 6324 + }, + { + "epoch": 0.19, + "learning_rate": 9.376840204923642e-06, + "loss": 0.7425, + "step": 6325 + }, + { + "epoch": 0.19, + "learning_rate": 9.376610171577362e-06, + "loss": 0.8631, + "step": 6326 + }, + { + "epoch": 0.19, + "learning_rate": 9.376380098604307e-06, + "loss": 0.725, + "step": 6327 + }, + { + "epoch": 0.19, + "learning_rate": 9.376149986006565e-06, + "loss": 0.6085, + "step": 6328 + }, + { + "epoch": 0.19, + "learning_rate": 9.375919833786217e-06, + "loss": 0.6723, + "step": 6329 + }, + { + "epoch": 0.19, + "learning_rate": 9.375689641945346e-06, + "loss": 0.6392, + "step": 6330 + }, + { + "epoch": 0.19, + "learning_rate": 9.375459410486039e-06, + "loss": 0.6568, + "step": 6331 + }, + { + "epoch": 0.19, + "learning_rate": 9.375229139410379e-06, + "loss": 0.7635, + "step": 6332 + }, + { + "epoch": 0.19, + "learning_rate": 9.37499882872045e-06, + "loss": 0.6416, + "step": 6333 + }, + { + "epoch": 0.19, + "learning_rate": 9.374768478418338e-06, + "loss": 0.6469, + "step": 6334 + }, + { + "epoch": 0.19, + "learning_rate": 9.37453808850613e-06, + "loss": 0.9107, + "step": 6335 + }, + { + "epoch": 0.19, + "learning_rate": 9.374307658985909e-06, + "loss": 0.9056, + "step": 6336 + }, + { + "epoch": 0.19, + "learning_rate": 9.374077189859765e-06, + "loss": 0.823, + "step": 6337 + }, + { + "epoch": 0.19, + "learning_rate": 9.373846681129782e-06, + "loss": 0.9993, + "step": 6338 + }, + { + "epoch": 0.19, + "learning_rate": 9.373616132798049e-06, + "loss": 0.7539, + "step": 6339 + }, + { + "epoch": 0.19, + "learning_rate": 9.373385544866652e-06, + "loss": 0.9538, + "step": 6340 + }, + { + "epoch": 0.19, + "learning_rate": 9.373154917337677e-06, + "loss": 0.6703, + "step": 6341 + }, + { + "epoch": 0.19, + "learning_rate": 9.372924250213218e-06, + "loss": 0.7678, + "step": 6342 + }, + { + "epoch": 0.19, + "learning_rate": 9.372693543495357e-06, + "loss": 0.7065, + "step": 6343 + }, + { + "epoch": 0.19, + "learning_rate": 9.372462797186188e-06, + "loss": 0.8328, + "step": 6344 + }, + { + "epoch": 0.19, + "learning_rate": 9.372232011287796e-06, + "loss": 0.7794, + "step": 6345 + }, + { + "epoch": 0.19, + "learning_rate": 9.372001185802275e-06, + "loss": 0.5618, + "step": 6346 + }, + { + "epoch": 0.19, + "learning_rate": 9.37177032073171e-06, + "loss": 0.6708, + "step": 6347 + }, + { + "epoch": 0.19, + "learning_rate": 9.371539416078195e-06, + "loss": 0.7827, + "step": 6348 + }, + { + "epoch": 0.19, + "learning_rate": 9.37130847184382e-06, + "loss": 1.0678, + "step": 6349 + }, + { + "epoch": 0.19, + "learning_rate": 9.371077488030675e-06, + "loss": 0.7857, + "step": 6350 + }, + { + "epoch": 0.19, + "learning_rate": 9.370846464640851e-06, + "loss": 0.7736, + "step": 6351 + }, + { + "epoch": 0.19, + "learning_rate": 9.370615401676441e-06, + "loss": 0.7685, + "step": 6352 + }, + { + "epoch": 0.19, + "learning_rate": 9.370384299139537e-06, + "loss": 0.8493, + "step": 6353 + }, + { + "epoch": 0.19, + "learning_rate": 9.370153157032231e-06, + "loss": 0.6977, + "step": 6354 + }, + { + "epoch": 0.19, + "learning_rate": 9.369921975356617e-06, + "loss": 0.9521, + "step": 6355 + }, + { + "epoch": 0.19, + "learning_rate": 9.369690754114787e-06, + "loss": 0.7584, + "step": 6356 + }, + { + "epoch": 0.19, + "learning_rate": 9.369459493308833e-06, + "loss": 0.8144, + "step": 6357 + }, + { + "epoch": 0.19, + "learning_rate": 9.369228192940851e-06, + "loss": 1.007, + "step": 6358 + }, + { + "epoch": 0.19, + "learning_rate": 9.368996853012936e-06, + "loss": 0.7038, + "step": 6359 + }, + { + "epoch": 0.19, + "learning_rate": 9.368765473527181e-06, + "loss": 0.7798, + "step": 6360 + }, + { + "epoch": 0.19, + "learning_rate": 9.36853405448568e-06, + "loss": 0.8284, + "step": 6361 + }, + { + "epoch": 0.19, + "learning_rate": 9.368302595890531e-06, + "loss": 0.8533, + "step": 6362 + }, + { + "epoch": 0.19, + "learning_rate": 9.36807109774383e-06, + "loss": 0.8304, + "step": 6363 + }, + { + "epoch": 0.19, + "learning_rate": 9.367839560047668e-06, + "loss": 0.7009, + "step": 6364 + }, + { + "epoch": 0.19, + "learning_rate": 9.367607982804147e-06, + "loss": 0.8958, + "step": 6365 + }, + { + "epoch": 0.19, + "learning_rate": 9.367376366015361e-06, + "loss": 0.829, + "step": 6366 + }, + { + "epoch": 0.19, + "learning_rate": 9.367144709683406e-06, + "loss": 0.7893, + "step": 6367 + }, + { + "epoch": 0.19, + "learning_rate": 9.366913013810383e-06, + "loss": 0.7522, + "step": 6368 + }, + { + "epoch": 0.19, + "learning_rate": 9.366681278398389e-06, + "loss": 0.5891, + "step": 6369 + }, + { + "epoch": 0.19, + "learning_rate": 9.366449503449517e-06, + "loss": 0.6822, + "step": 6370 + }, + { + "epoch": 0.19, + "learning_rate": 9.366217688965873e-06, + "loss": 0.6419, + "step": 6371 + }, + { + "epoch": 0.19, + "learning_rate": 9.365985834949552e-06, + "loss": 0.4908, + "step": 6372 + }, + { + "epoch": 0.19, + "learning_rate": 9.365753941402654e-06, + "loss": 0.6343, + "step": 6373 + }, + { + "epoch": 0.19, + "learning_rate": 9.365522008327276e-06, + "loss": 0.9058, + "step": 6374 + }, + { + "epoch": 0.19, + "learning_rate": 9.365290035725525e-06, + "loss": 0.7221, + "step": 6375 + }, + { + "epoch": 0.19, + "learning_rate": 9.365058023599493e-06, + "loss": 0.785, + "step": 6376 + }, + { + "epoch": 0.19, + "learning_rate": 9.364825971951285e-06, + "loss": 0.85, + "step": 6377 + }, + { + "epoch": 0.19, + "learning_rate": 9.364593880783001e-06, + "loss": 0.9056, + "step": 6378 + }, + { + "epoch": 0.19, + "learning_rate": 9.364361750096745e-06, + "loss": 0.7895, + "step": 6379 + }, + { + "epoch": 0.19, + "learning_rate": 9.364129579894616e-06, + "loss": 0.8329, + "step": 6380 + }, + { + "epoch": 0.19, + "learning_rate": 9.363897370178716e-06, + "loss": 0.6238, + "step": 6381 + }, + { + "epoch": 0.19, + "learning_rate": 9.363665120951147e-06, + "loss": 0.7752, + "step": 6382 + }, + { + "epoch": 0.19, + "learning_rate": 9.363432832214014e-06, + "loss": 0.7519, + "step": 6383 + }, + { + "epoch": 0.19, + "learning_rate": 9.36320050396942e-06, + "loss": 0.8469, + "step": 6384 + }, + { + "epoch": 0.19, + "learning_rate": 9.362968136219468e-06, + "loss": 0.8712, + "step": 6385 + }, + { + "epoch": 0.19, + "learning_rate": 9.362735728966261e-06, + "loss": 0.9822, + "step": 6386 + }, + { + "epoch": 0.19, + "learning_rate": 9.362503282211905e-06, + "loss": 0.6121, + "step": 6387 + }, + { + "epoch": 0.19, + "learning_rate": 9.362270795958502e-06, + "loss": 0.6272, + "step": 6388 + }, + { + "epoch": 0.19, + "learning_rate": 9.362038270208159e-06, + "loss": 0.9737, + "step": 6389 + }, + { + "epoch": 0.19, + "learning_rate": 9.36180570496298e-06, + "loss": 1.0611, + "step": 6390 + }, + { + "epoch": 0.19, + "learning_rate": 9.361573100225075e-06, + "loss": 0.7484, + "step": 6391 + }, + { + "epoch": 0.19, + "learning_rate": 9.361340455996544e-06, + "loss": 0.8792, + "step": 6392 + }, + { + "epoch": 0.19, + "learning_rate": 9.361107772279496e-06, + "loss": 0.6814, + "step": 6393 + }, + { + "epoch": 0.19, + "learning_rate": 9.360875049076037e-06, + "loss": 0.7018, + "step": 6394 + }, + { + "epoch": 0.19, + "learning_rate": 9.360642286388277e-06, + "loss": 0.4964, + "step": 6395 + }, + { + "epoch": 0.19, + "learning_rate": 9.360409484218321e-06, + "loss": 0.8742, + "step": 6396 + }, + { + "epoch": 0.19, + "learning_rate": 9.360176642568277e-06, + "loss": 0.7491, + "step": 6397 + }, + { + "epoch": 0.19, + "learning_rate": 9.359943761440254e-06, + "loss": 0.8056, + "step": 6398 + }, + { + "epoch": 0.19, + "learning_rate": 9.359710840836358e-06, + "loss": 0.6809, + "step": 6399 + }, + { + "epoch": 0.19, + "learning_rate": 9.359477880758702e-06, + "loss": 1.0016, + "step": 6400 + }, + { + "epoch": 0.19, + "learning_rate": 9.359244881209392e-06, + "loss": 0.5983, + "step": 6401 + }, + { + "epoch": 0.19, + "learning_rate": 9.35901184219054e-06, + "loss": 0.8534, + "step": 6402 + }, + { + "epoch": 0.19, + "learning_rate": 9.358778763704256e-06, + "loss": 0.8315, + "step": 6403 + }, + { + "epoch": 0.19, + "learning_rate": 9.358545645752645e-06, + "loss": 0.9092, + "step": 6404 + }, + { + "epoch": 0.19, + "learning_rate": 9.358312488337826e-06, + "loss": 0.8082, + "step": 6405 + }, + { + "epoch": 0.19, + "learning_rate": 9.358079291461903e-06, + "loss": 0.6412, + "step": 6406 + }, + { + "epoch": 0.19, + "learning_rate": 9.357846055126993e-06, + "loss": 0.7241, + "step": 6407 + }, + { + "epoch": 0.19, + "learning_rate": 9.357612779335204e-06, + "loss": 0.7068, + "step": 6408 + }, + { + "epoch": 0.19, + "learning_rate": 9.357379464088648e-06, + "loss": 0.8587, + "step": 6409 + }, + { + "epoch": 0.19, + "learning_rate": 9.35714610938944e-06, + "loss": 0.8178, + "step": 6410 + }, + { + "epoch": 0.19, + "learning_rate": 9.35691271523969e-06, + "loss": 0.6547, + "step": 6411 + }, + { + "epoch": 0.19, + "learning_rate": 9.356679281641515e-06, + "loss": 0.9181, + "step": 6412 + }, + { + "epoch": 0.19, + "learning_rate": 9.356445808597025e-06, + "loss": 0.7289, + "step": 6413 + }, + { + "epoch": 0.19, + "learning_rate": 9.356212296108337e-06, + "loss": 0.6117, + "step": 6414 + }, + { + "epoch": 0.19, + "learning_rate": 9.355978744177562e-06, + "loss": 0.6445, + "step": 6415 + }, + { + "epoch": 0.19, + "learning_rate": 9.355745152806816e-06, + "loss": 0.8413, + "step": 6416 + }, + { + "epoch": 0.19, + "learning_rate": 9.355511521998215e-06, + "loss": 0.7948, + "step": 6417 + }, + { + "epoch": 0.19, + "learning_rate": 9.355277851753872e-06, + "loss": 0.7993, + "step": 6418 + }, + { + "epoch": 0.19, + "learning_rate": 9.355044142075906e-06, + "loss": 0.8204, + "step": 6419 + }, + { + "epoch": 0.19, + "learning_rate": 9.354810392966431e-06, + "loss": 0.8677, + "step": 6420 + }, + { + "epoch": 0.19, + "learning_rate": 9.354576604427564e-06, + "loss": 0.6782, + "step": 6421 + }, + { + "epoch": 0.19, + "learning_rate": 9.35434277646142e-06, + "loss": 0.8194, + "step": 6422 + }, + { + "epoch": 0.19, + "learning_rate": 9.354108909070117e-06, + "loss": 0.7059, + "step": 6423 + }, + { + "epoch": 0.19, + "learning_rate": 9.353875002255774e-06, + "loss": 0.5526, + "step": 6424 + }, + { + "epoch": 0.19, + "learning_rate": 9.353641056020508e-06, + "loss": 0.7287, + "step": 6425 + }, + { + "epoch": 0.19, + "learning_rate": 9.353407070366439e-06, + "loss": 0.7094, + "step": 6426 + }, + { + "epoch": 0.19, + "learning_rate": 9.35317304529568e-06, + "loss": 0.6453, + "step": 6427 + }, + { + "epoch": 0.19, + "learning_rate": 9.352938980810355e-06, + "loss": 0.9017, + "step": 6428 + }, + { + "epoch": 0.19, + "learning_rate": 9.352704876912584e-06, + "loss": 0.6489, + "step": 6429 + }, + { + "epoch": 0.19, + "learning_rate": 9.352470733604482e-06, + "loss": 0.7119, + "step": 6430 + }, + { + "epoch": 0.19, + "learning_rate": 9.352236550888172e-06, + "loss": 0.6915, + "step": 6431 + }, + { + "epoch": 0.19, + "learning_rate": 9.352002328765774e-06, + "loss": 0.6755, + "step": 6432 + }, + { + "epoch": 0.19, + "learning_rate": 9.351768067239408e-06, + "loss": 0.7162, + "step": 6433 + }, + { + "epoch": 0.19, + "learning_rate": 9.351533766311196e-06, + "loss": 0.7851, + "step": 6434 + }, + { + "epoch": 0.19, + "learning_rate": 9.35129942598326e-06, + "loss": 0.9586, + "step": 6435 + }, + { + "epoch": 0.19, + "learning_rate": 9.35106504625772e-06, + "loss": 0.897, + "step": 6436 + }, + { + "epoch": 0.19, + "learning_rate": 9.350830627136698e-06, + "loss": 0.7543, + "step": 6437 + }, + { + "epoch": 0.19, + "learning_rate": 9.350596168622317e-06, + "loss": 0.7379, + "step": 6438 + }, + { + "epoch": 0.19, + "learning_rate": 9.350361670716701e-06, + "loss": 0.7299, + "step": 6439 + }, + { + "epoch": 0.19, + "learning_rate": 9.350127133421973e-06, + "loss": 0.7077, + "step": 6440 + }, + { + "epoch": 0.19, + "learning_rate": 9.349892556740255e-06, + "loss": 1.0181, + "step": 6441 + }, + { + "epoch": 0.19, + "learning_rate": 9.349657940673671e-06, + "loss": 0.8875, + "step": 6442 + }, + { + "epoch": 0.19, + "learning_rate": 9.349423285224347e-06, + "loss": 0.7527, + "step": 6443 + }, + { + "epoch": 0.19, + "learning_rate": 9.349188590394406e-06, + "loss": 0.6469, + "step": 6444 + }, + { + "epoch": 0.19, + "learning_rate": 9.348953856185976e-06, + "loss": 0.6753, + "step": 6445 + }, + { + "epoch": 0.19, + "learning_rate": 9.348719082601177e-06, + "loss": 0.8008, + "step": 6446 + }, + { + "epoch": 0.19, + "learning_rate": 9.348484269642139e-06, + "loss": 0.7491, + "step": 6447 + }, + { + "epoch": 0.19, + "learning_rate": 9.348249417310989e-06, + "loss": 0.9727, + "step": 6448 + }, + { + "epoch": 0.19, + "learning_rate": 9.348014525609847e-06, + "loss": 1.0202, + "step": 6449 + }, + { + "epoch": 0.19, + "learning_rate": 9.347779594540847e-06, + "loss": 0.7061, + "step": 6450 + }, + { + "epoch": 0.19, + "learning_rate": 9.347544624106112e-06, + "loss": 0.7279, + "step": 6451 + }, + { + "epoch": 0.19, + "learning_rate": 9.347309614307771e-06, + "loss": 0.6358, + "step": 6452 + }, + { + "epoch": 0.19, + "learning_rate": 9.34707456514795e-06, + "loss": 0.9055, + "step": 6453 + }, + { + "epoch": 0.19, + "learning_rate": 9.34683947662878e-06, + "loss": 0.9619, + "step": 6454 + }, + { + "epoch": 0.19, + "learning_rate": 9.346604348752386e-06, + "loss": 0.6762, + "step": 6455 + }, + { + "epoch": 0.19, + "learning_rate": 9.346369181520901e-06, + "loss": 0.7986, + "step": 6456 + }, + { + "epoch": 0.19, + "learning_rate": 9.34613397493645e-06, + "loss": 0.7546, + "step": 6457 + }, + { + "epoch": 0.19, + "learning_rate": 9.345898729001169e-06, + "loss": 0.4284, + "step": 6458 + }, + { + "epoch": 0.19, + "learning_rate": 9.34566344371718e-06, + "loss": 0.8627, + "step": 6459 + }, + { + "epoch": 0.19, + "learning_rate": 9.345428119086619e-06, + "loss": 0.6607, + "step": 6460 + }, + { + "epoch": 0.19, + "learning_rate": 9.345192755111614e-06, + "loss": 0.8099, + "step": 6461 + }, + { + "epoch": 0.19, + "learning_rate": 9.344957351794296e-06, + "loss": 0.5988, + "step": 6462 + }, + { + "epoch": 0.19, + "learning_rate": 9.344721909136798e-06, + "loss": 0.9708, + "step": 6463 + }, + { + "epoch": 0.19, + "learning_rate": 9.344486427141251e-06, + "loss": 0.7877, + "step": 6464 + }, + { + "epoch": 0.19, + "learning_rate": 9.344250905809788e-06, + "loss": 0.7986, + "step": 6465 + }, + { + "epoch": 0.19, + "learning_rate": 9.344015345144538e-06, + "loss": 0.8112, + "step": 6466 + }, + { + "epoch": 0.19, + "learning_rate": 9.34377974514764e-06, + "loss": 0.7544, + "step": 6467 + }, + { + "epoch": 0.19, + "learning_rate": 9.34354410582122e-06, + "loss": 0.6216, + "step": 6468 + }, + { + "epoch": 0.19, + "learning_rate": 9.343308427167417e-06, + "loss": 0.7185, + "step": 6469 + }, + { + "epoch": 0.19, + "learning_rate": 9.343072709188363e-06, + "loss": 0.6988, + "step": 6470 + }, + { + "epoch": 0.19, + "learning_rate": 9.342836951886192e-06, + "loss": 0.8889, + "step": 6471 + }, + { + "epoch": 0.19, + "learning_rate": 9.342601155263039e-06, + "loss": 0.9685, + "step": 6472 + }, + { + "epoch": 0.19, + "learning_rate": 9.342365319321038e-06, + "loss": 0.6868, + "step": 6473 + }, + { + "epoch": 0.19, + "learning_rate": 9.342129444062324e-06, + "loss": 1.0649, + "step": 6474 + }, + { + "epoch": 0.19, + "learning_rate": 9.341893529489035e-06, + "loss": 0.5044, + "step": 6475 + }, + { + "epoch": 0.19, + "learning_rate": 9.341657575603307e-06, + "loss": 0.6458, + "step": 6476 + }, + { + "epoch": 0.19, + "learning_rate": 9.341421582407274e-06, + "loss": 0.5944, + "step": 6477 + }, + { + "epoch": 0.19, + "learning_rate": 9.341185549903073e-06, + "loss": 0.58, + "step": 6478 + }, + { + "epoch": 0.19, + "learning_rate": 9.340949478092842e-06, + "loss": 0.7813, + "step": 6479 + }, + { + "epoch": 0.19, + "learning_rate": 9.34071336697872e-06, + "loss": 0.6788, + "step": 6480 + }, + { + "epoch": 0.19, + "learning_rate": 9.340477216562842e-06, + "loss": 0.8496, + "step": 6481 + }, + { + "epoch": 0.19, + "learning_rate": 9.340241026847348e-06, + "loss": 0.7308, + "step": 6482 + }, + { + "epoch": 0.19, + "learning_rate": 9.340004797834375e-06, + "loss": 0.9988, + "step": 6483 + }, + { + "epoch": 0.19, + "learning_rate": 9.339768529526063e-06, + "loss": 0.7235, + "step": 6484 + }, + { + "epoch": 0.19, + "learning_rate": 9.33953222192455e-06, + "loss": 0.5893, + "step": 6485 + }, + { + "epoch": 0.19, + "learning_rate": 9.339295875031979e-06, + "loss": 0.9268, + "step": 6486 + }, + { + "epoch": 0.19, + "learning_rate": 9.339059488850486e-06, + "loss": 0.9891, + "step": 6487 + }, + { + "epoch": 0.19, + "learning_rate": 9.338823063382212e-06, + "loss": 0.7354, + "step": 6488 + }, + { + "epoch": 0.19, + "learning_rate": 9.3385865986293e-06, + "loss": 0.767, + "step": 6489 + }, + { + "epoch": 0.19, + "learning_rate": 9.338350094593887e-06, + "loss": 0.8764, + "step": 6490 + }, + { + "epoch": 0.19, + "learning_rate": 9.33811355127812e-06, + "loss": 0.7945, + "step": 6491 + }, + { + "epoch": 0.19, + "learning_rate": 9.337876968684134e-06, + "loss": 1.0948, + "step": 6492 + }, + { + "epoch": 0.19, + "learning_rate": 9.337640346814077e-06, + "loss": 0.7503, + "step": 6493 + }, + { + "epoch": 0.19, + "learning_rate": 9.337403685670087e-06, + "loss": 0.7992, + "step": 6494 + }, + { + "epoch": 0.19, + "learning_rate": 9.33716698525431e-06, + "loss": 0.74, + "step": 6495 + }, + { + "epoch": 0.19, + "learning_rate": 9.33693024556889e-06, + "loss": 0.687, + "step": 6496 + }, + { + "epoch": 0.19, + "learning_rate": 9.336693466615965e-06, + "loss": 0.9233, + "step": 6497 + }, + { + "epoch": 0.19, + "learning_rate": 9.336456648397683e-06, + "loss": 0.6629, + "step": 6498 + }, + { + "epoch": 0.19, + "learning_rate": 9.336219790916189e-06, + "loss": 0.881, + "step": 6499 + }, + { + "epoch": 0.19, + "learning_rate": 9.335982894173625e-06, + "loss": 0.9232, + "step": 6500 + }, + { + "epoch": 0.19, + "learning_rate": 9.335745958172136e-06, + "loss": 1.1068, + "step": 6501 + }, + { + "epoch": 0.19, + "learning_rate": 9.335508982913868e-06, + "loss": 0.787, + "step": 6502 + }, + { + "epoch": 0.19, + "learning_rate": 9.335271968400967e-06, + "loss": 0.7936, + "step": 6503 + }, + { + "epoch": 0.19, + "learning_rate": 9.335034914635581e-06, + "loss": 0.7902, + "step": 6504 + }, + { + "epoch": 0.19, + "learning_rate": 9.334797821619852e-06, + "loss": 0.7724, + "step": 6505 + }, + { + "epoch": 0.19, + "learning_rate": 9.334560689355929e-06, + "loss": 0.7867, + "step": 6506 + }, + { + "epoch": 0.19, + "learning_rate": 9.33432351784596e-06, + "loss": 0.4933, + "step": 6507 + }, + { + "epoch": 0.19, + "learning_rate": 9.33408630709209e-06, + "loss": 0.9245, + "step": 6508 + }, + { + "epoch": 0.19, + "learning_rate": 9.33384905709647e-06, + "loss": 0.6049, + "step": 6509 + }, + { + "epoch": 0.19, + "learning_rate": 9.333611767861244e-06, + "loss": 0.5851, + "step": 6510 + }, + { + "epoch": 0.19, + "learning_rate": 9.333374439388563e-06, + "loss": 0.9427, + "step": 6511 + }, + { + "epoch": 0.19, + "learning_rate": 9.333137071680575e-06, + "loss": 0.8577, + "step": 6512 + }, + { + "epoch": 0.19, + "learning_rate": 9.33289966473943e-06, + "loss": 0.9944, + "step": 6513 + }, + { + "epoch": 0.19, + "learning_rate": 9.332662218567278e-06, + "loss": 0.7237, + "step": 6514 + }, + { + "epoch": 0.19, + "learning_rate": 9.332424733166267e-06, + "loss": 0.7357, + "step": 6515 + }, + { + "epoch": 0.19, + "learning_rate": 9.332187208538547e-06, + "loss": 0.6448, + "step": 6516 + }, + { + "epoch": 0.19, + "learning_rate": 9.331949644686273e-06, + "loss": 0.6659, + "step": 6517 + }, + { + "epoch": 0.19, + "learning_rate": 9.331712041611592e-06, + "loss": 0.6412, + "step": 6518 + }, + { + "epoch": 0.19, + "learning_rate": 9.331474399316655e-06, + "loss": 0.8851, + "step": 6519 + }, + { + "epoch": 0.19, + "learning_rate": 9.331236717803614e-06, + "loss": 0.8305, + "step": 6520 + }, + { + "epoch": 0.19, + "learning_rate": 9.330998997074623e-06, + "loss": 0.9658, + "step": 6521 + }, + { + "epoch": 0.19, + "learning_rate": 9.330761237131833e-06, + "loss": 0.7281, + "step": 6522 + }, + { + "epoch": 0.19, + "learning_rate": 9.330523437977397e-06, + "loss": 0.8367, + "step": 6523 + }, + { + "epoch": 0.19, + "learning_rate": 9.330285599613468e-06, + "loss": 0.828, + "step": 6524 + }, + { + "epoch": 0.19, + "learning_rate": 9.3300477220422e-06, + "loss": 1.0065, + "step": 6525 + }, + { + "epoch": 0.19, + "learning_rate": 9.329809805265745e-06, + "loss": 0.5524, + "step": 6526 + }, + { + "epoch": 0.19, + "learning_rate": 9.329571849286258e-06, + "loss": 0.6873, + "step": 6527 + }, + { + "epoch": 0.19, + "learning_rate": 9.329333854105897e-06, + "loss": 0.6519, + "step": 6528 + }, + { + "epoch": 0.19, + "learning_rate": 9.32909581972681e-06, + "loss": 0.8956, + "step": 6529 + }, + { + "epoch": 0.19, + "learning_rate": 9.32885774615116e-06, + "loss": 0.7104, + "step": 6530 + }, + { + "epoch": 0.19, + "learning_rate": 9.328619633381095e-06, + "loss": 0.6297, + "step": 6531 + }, + { + "epoch": 0.19, + "learning_rate": 9.328381481418775e-06, + "loss": 0.8619, + "step": 6532 + }, + { + "epoch": 0.19, + "learning_rate": 9.328143290266355e-06, + "loss": 0.7247, + "step": 6533 + }, + { + "epoch": 0.19, + "learning_rate": 9.327905059925995e-06, + "loss": 0.8827, + "step": 6534 + }, + { + "epoch": 0.19, + "learning_rate": 9.327666790399848e-06, + "loss": 0.56, + "step": 6535 + }, + { + "epoch": 0.19, + "learning_rate": 9.327428481690073e-06, + "loss": 0.7443, + "step": 6536 + }, + { + "epoch": 0.19, + "learning_rate": 9.327190133798827e-06, + "loss": 0.9356, + "step": 6537 + }, + { + "epoch": 0.19, + "learning_rate": 9.326951746728268e-06, + "loss": 0.6468, + "step": 6538 + }, + { + "epoch": 0.19, + "learning_rate": 9.326713320480556e-06, + "loss": 0.6234, + "step": 6539 + }, + { + "epoch": 0.19, + "learning_rate": 9.326474855057848e-06, + "loss": 0.7594, + "step": 6540 + }, + { + "epoch": 0.19, + "learning_rate": 9.326236350462303e-06, + "loss": 0.7165, + "step": 6541 + }, + { + "epoch": 0.19, + "learning_rate": 9.325997806696082e-06, + "loss": 0.8897, + "step": 6542 + }, + { + "epoch": 0.19, + "learning_rate": 9.325759223761343e-06, + "loss": 0.8968, + "step": 6543 + }, + { + "epoch": 0.19, + "learning_rate": 9.325520601660249e-06, + "loss": 0.6532, + "step": 6544 + }, + { + "epoch": 0.19, + "learning_rate": 9.325281940394958e-06, + "loss": 0.7241, + "step": 6545 + }, + { + "epoch": 0.19, + "learning_rate": 9.325043239967631e-06, + "loss": 1.0387, + "step": 6546 + }, + { + "epoch": 0.19, + "learning_rate": 9.324804500380431e-06, + "loss": 0.9425, + "step": 6547 + }, + { + "epoch": 0.19, + "learning_rate": 9.324565721635518e-06, + "loss": 0.987, + "step": 6548 + }, + { + "epoch": 0.19, + "learning_rate": 9.324326903735055e-06, + "loss": 0.8024, + "step": 6549 + }, + { + "epoch": 0.19, + "learning_rate": 9.324088046681202e-06, + "loss": 0.676, + "step": 6550 + }, + { + "epoch": 0.19, + "learning_rate": 9.323849150476126e-06, + "loss": 0.9493, + "step": 6551 + }, + { + "epoch": 0.19, + "learning_rate": 9.323610215121985e-06, + "loss": 0.8207, + "step": 6552 + }, + { + "epoch": 0.19, + "learning_rate": 9.323371240620946e-06, + "loss": 0.7658, + "step": 6553 + }, + { + "epoch": 0.19, + "learning_rate": 9.323132226975172e-06, + "loss": 0.8788, + "step": 6554 + }, + { + "epoch": 0.19, + "learning_rate": 9.322893174186824e-06, + "loss": 0.5181, + "step": 6555 + }, + { + "epoch": 0.19, + "learning_rate": 9.322654082258072e-06, + "loss": 0.7888, + "step": 6556 + }, + { + "epoch": 0.19, + "learning_rate": 9.322414951191077e-06, + "loss": 0.6789, + "step": 6557 + }, + { + "epoch": 0.19, + "learning_rate": 9.322175780988005e-06, + "loss": 0.763, + "step": 6558 + }, + { + "epoch": 0.19, + "learning_rate": 9.32193657165102e-06, + "loss": 0.7558, + "step": 6559 + }, + { + "epoch": 0.19, + "learning_rate": 9.32169732318229e-06, + "loss": 0.8368, + "step": 6560 + }, + { + "epoch": 0.19, + "learning_rate": 9.321458035583982e-06, + "loss": 0.6691, + "step": 6561 + }, + { + "epoch": 0.19, + "learning_rate": 9.321218708858259e-06, + "loss": 0.7328, + "step": 6562 + }, + { + "epoch": 0.19, + "learning_rate": 9.320979343007293e-06, + "loss": 0.6413, + "step": 6563 + }, + { + "epoch": 0.19, + "learning_rate": 9.320739938033245e-06, + "loss": 0.6615, + "step": 6564 + }, + { + "epoch": 0.19, + "learning_rate": 9.320500493938288e-06, + "loss": 0.66, + "step": 6565 + }, + { + "epoch": 0.19, + "learning_rate": 9.320261010724587e-06, + "loss": 1.0406, + "step": 6566 + }, + { + "epoch": 0.19, + "learning_rate": 9.320021488394311e-06, + "loss": 0.7056, + "step": 6567 + }, + { + "epoch": 0.19, + "learning_rate": 9.31978192694963e-06, + "loss": 0.7669, + "step": 6568 + }, + { + "epoch": 0.19, + "learning_rate": 9.319542326392712e-06, + "loss": 0.8369, + "step": 6569 + }, + { + "epoch": 0.19, + "learning_rate": 9.319302686725726e-06, + "loss": 0.6355, + "step": 6570 + }, + { + "epoch": 0.19, + "learning_rate": 9.319063007950842e-06, + "loss": 0.7036, + "step": 6571 + }, + { + "epoch": 0.19, + "learning_rate": 9.318823290070228e-06, + "loss": 0.8357, + "step": 6572 + }, + { + "epoch": 0.19, + "learning_rate": 9.31858353308606e-06, + "loss": 0.8044, + "step": 6573 + }, + { + "epoch": 0.19, + "learning_rate": 9.318343737000504e-06, + "loss": 0.5911, + "step": 6574 + }, + { + "epoch": 0.19, + "learning_rate": 9.318103901815731e-06, + "loss": 0.7693, + "step": 6575 + }, + { + "epoch": 0.19, + "learning_rate": 9.317864027533916e-06, + "loss": 0.5758, + "step": 6576 + }, + { + "epoch": 0.19, + "learning_rate": 9.31762411415723e-06, + "loss": 0.8355, + "step": 6577 + }, + { + "epoch": 0.19, + "learning_rate": 9.317384161687844e-06, + "loss": 1.0253, + "step": 6578 + }, + { + "epoch": 0.19, + "learning_rate": 9.317144170127929e-06, + "loss": 0.7806, + "step": 6579 + }, + { + "epoch": 0.19, + "learning_rate": 9.316904139479662e-06, + "loss": 0.7836, + "step": 6580 + }, + { + "epoch": 0.19, + "learning_rate": 9.316664069745211e-06, + "loss": 0.7166, + "step": 6581 + }, + { + "epoch": 0.19, + "learning_rate": 9.316423960926755e-06, + "loss": 0.5871, + "step": 6582 + }, + { + "epoch": 0.19, + "learning_rate": 9.316183813026464e-06, + "loss": 0.7815, + "step": 6583 + }, + { + "epoch": 0.19, + "learning_rate": 9.315943626046516e-06, + "loss": 0.7029, + "step": 6584 + }, + { + "epoch": 0.19, + "learning_rate": 9.315703399989083e-06, + "loss": 0.5291, + "step": 6585 + }, + { + "epoch": 0.19, + "learning_rate": 9.315463134856342e-06, + "loss": 0.6886, + "step": 6586 + }, + { + "epoch": 0.19, + "learning_rate": 9.315222830650465e-06, + "loss": 0.8936, + "step": 6587 + }, + { + "epoch": 0.19, + "learning_rate": 9.314982487373632e-06, + "loss": 0.6287, + "step": 6588 + }, + { + "epoch": 0.19, + "learning_rate": 9.314742105028017e-06, + "loss": 0.8519, + "step": 6589 + }, + { + "epoch": 0.19, + "learning_rate": 9.314501683615794e-06, + "loss": 0.8613, + "step": 6590 + }, + { + "epoch": 0.19, + "learning_rate": 9.314261223139144e-06, + "loss": 0.6803, + "step": 6591 + }, + { + "epoch": 0.19, + "learning_rate": 9.314020723600244e-06, + "loss": 0.9577, + "step": 6592 + }, + { + "epoch": 0.19, + "learning_rate": 9.313780185001268e-06, + "loss": 0.7719, + "step": 6593 + }, + { + "epoch": 0.19, + "learning_rate": 9.313539607344397e-06, + "loss": 0.6022, + "step": 6594 + }, + { + "epoch": 0.19, + "learning_rate": 9.313298990631807e-06, + "loss": 0.7237, + "step": 6595 + }, + { + "epoch": 0.19, + "learning_rate": 9.31305833486568e-06, + "loss": 0.6949, + "step": 6596 + }, + { + "epoch": 0.19, + "learning_rate": 9.31281764004819e-06, + "loss": 0.7861, + "step": 6597 + }, + { + "epoch": 0.19, + "learning_rate": 9.312576906181521e-06, + "loss": 0.7998, + "step": 6598 + }, + { + "epoch": 0.19, + "learning_rate": 9.312336133267852e-06, + "loss": 0.8763, + "step": 6599 + }, + { + "epoch": 0.19, + "learning_rate": 9.31209532130936e-06, + "loss": 0.7484, + "step": 6600 + }, + { + "epoch": 0.19, + "learning_rate": 9.311854470308228e-06, + "loss": 0.8913, + "step": 6601 + }, + { + "epoch": 0.19, + "learning_rate": 9.311613580266634e-06, + "loss": 0.6489, + "step": 6602 + }, + { + "epoch": 0.19, + "learning_rate": 9.311372651186763e-06, + "loss": 0.9956, + "step": 6603 + }, + { + "epoch": 0.19, + "learning_rate": 9.311131683070794e-06, + "loss": 1.0042, + "step": 6604 + }, + { + "epoch": 0.19, + "learning_rate": 9.310890675920908e-06, + "loss": 0.7891, + "step": 6605 + }, + { + "epoch": 0.19, + "learning_rate": 9.310649629739288e-06, + "loss": 0.649, + "step": 6606 + }, + { + "epoch": 0.19, + "learning_rate": 9.310408544528119e-06, + "loss": 0.8081, + "step": 6607 + }, + { + "epoch": 0.19, + "learning_rate": 9.31016742028958e-06, + "loss": 0.6757, + "step": 6608 + }, + { + "epoch": 0.19, + "learning_rate": 9.309926257025856e-06, + "loss": 1.0469, + "step": 6609 + }, + { + "epoch": 0.19, + "learning_rate": 9.30968505473913e-06, + "loss": 0.6141, + "step": 6610 + }, + { + "epoch": 0.19, + "learning_rate": 9.309443813431586e-06, + "loss": 0.7187, + "step": 6611 + }, + { + "epoch": 0.19, + "learning_rate": 9.309202533105411e-06, + "loss": 0.8447, + "step": 6612 + }, + { + "epoch": 0.19, + "learning_rate": 9.308961213762784e-06, + "loss": 0.6437, + "step": 6613 + }, + { + "epoch": 0.19, + "learning_rate": 9.308719855405895e-06, + "loss": 0.5597, + "step": 6614 + }, + { + "epoch": 0.19, + "learning_rate": 9.308478458036926e-06, + "loss": 0.9821, + "step": 6615 + }, + { + "epoch": 0.19, + "learning_rate": 9.308237021658065e-06, + "loss": 0.6106, + "step": 6616 + }, + { + "epoch": 0.19, + "learning_rate": 9.307995546271496e-06, + "loss": 0.6234, + "step": 6617 + }, + { + "epoch": 0.19, + "learning_rate": 9.307754031879406e-06, + "loss": 0.9829, + "step": 6618 + }, + { + "epoch": 0.19, + "learning_rate": 9.307512478483984e-06, + "loss": 0.8714, + "step": 6619 + }, + { + "epoch": 0.19, + "learning_rate": 9.307270886087413e-06, + "loss": 0.6703, + "step": 6620 + }, + { + "epoch": 0.19, + "learning_rate": 9.307029254691884e-06, + "loss": 0.9043, + "step": 6621 + }, + { + "epoch": 0.19, + "learning_rate": 9.306787584299583e-06, + "loss": 0.7988, + "step": 6622 + }, + { + "epoch": 0.19, + "learning_rate": 9.306545874912697e-06, + "loss": 1.0529, + "step": 6623 + }, + { + "epoch": 0.19, + "learning_rate": 9.306304126533419e-06, + "loss": 0.8828, + "step": 6624 + }, + { + "epoch": 0.19, + "learning_rate": 9.306062339163933e-06, + "loss": 0.8599, + "step": 6625 + }, + { + "epoch": 0.19, + "learning_rate": 9.305820512806431e-06, + "loss": 0.6995, + "step": 6626 + }, + { + "epoch": 0.19, + "learning_rate": 9.3055786474631e-06, + "loss": 0.6271, + "step": 6627 + }, + { + "epoch": 0.19, + "learning_rate": 9.305336743136132e-06, + "loss": 0.6265, + "step": 6628 + }, + { + "epoch": 0.19, + "learning_rate": 9.305094799827718e-06, + "loss": 0.6537, + "step": 6629 + }, + { + "epoch": 0.19, + "learning_rate": 9.30485281754005e-06, + "loss": 1.0436, + "step": 6630 + }, + { + "epoch": 0.19, + "learning_rate": 9.30461079627531e-06, + "loss": 0.7371, + "step": 6631 + }, + { + "epoch": 0.19, + "learning_rate": 9.304368736035701e-06, + "loss": 0.9181, + "step": 6632 + }, + { + "epoch": 0.19, + "learning_rate": 9.304126636823406e-06, + "loss": 0.8448, + "step": 6633 + }, + { + "epoch": 0.19, + "learning_rate": 9.30388449864062e-06, + "loss": 0.6259, + "step": 6634 + }, + { + "epoch": 0.19, + "learning_rate": 9.303642321489539e-06, + "loss": 0.865, + "step": 6635 + }, + { + "epoch": 0.19, + "learning_rate": 9.303400105372348e-06, + "loss": 0.8268, + "step": 6636 + }, + { + "epoch": 0.19, + "learning_rate": 9.30315785029125e-06, + "loss": 0.7435, + "step": 6637 + }, + { + "epoch": 0.2, + "learning_rate": 9.302915556248428e-06, + "loss": 0.8403, + "step": 6638 + }, + { + "epoch": 0.2, + "learning_rate": 9.302673223246083e-06, + "loss": 1.0374, + "step": 6639 + }, + { + "epoch": 0.2, + "learning_rate": 9.302430851286406e-06, + "loss": 0.8391, + "step": 6640 + }, + { + "epoch": 0.2, + "learning_rate": 9.302188440371593e-06, + "loss": 0.742, + "step": 6641 + }, + { + "epoch": 0.2, + "learning_rate": 9.301945990503838e-06, + "loss": 0.9041, + "step": 6642 + }, + { + "epoch": 0.2, + "learning_rate": 9.301703501685335e-06, + "loss": 0.7094, + "step": 6643 + }, + { + "epoch": 0.2, + "learning_rate": 9.301460973918284e-06, + "loss": 0.9687, + "step": 6644 + }, + { + "epoch": 0.2, + "learning_rate": 9.301218407204875e-06, + "loss": 0.7476, + "step": 6645 + }, + { + "epoch": 0.2, + "learning_rate": 9.300975801547308e-06, + "loss": 0.7613, + "step": 6646 + }, + { + "epoch": 0.2, + "learning_rate": 9.30073315694778e-06, + "loss": 1.0371, + "step": 6647 + }, + { + "epoch": 0.2, + "learning_rate": 9.300490473408484e-06, + "loss": 0.5771, + "step": 6648 + }, + { + "epoch": 0.2, + "learning_rate": 9.300247750931621e-06, + "loss": 0.6329, + "step": 6649 + }, + { + "epoch": 0.2, + "learning_rate": 9.30000498951939e-06, + "loss": 0.7632, + "step": 6650 + }, + { + "epoch": 0.2, + "learning_rate": 9.299762189173982e-06, + "loss": 0.6151, + "step": 6651 + }, + { + "epoch": 0.2, + "learning_rate": 9.299519349897603e-06, + "loss": 0.6949, + "step": 6652 + }, + { + "epoch": 0.2, + "learning_rate": 9.299276471692449e-06, + "loss": 0.971, + "step": 6653 + }, + { + "epoch": 0.2, + "learning_rate": 9.299033554560716e-06, + "loss": 0.7847, + "step": 6654 + }, + { + "epoch": 0.2, + "learning_rate": 9.298790598504608e-06, + "loss": 0.7538, + "step": 6655 + }, + { + "epoch": 0.2, + "learning_rate": 9.298547603526324e-06, + "loss": 0.7159, + "step": 6656 + }, + { + "epoch": 0.2, + "learning_rate": 9.298304569628063e-06, + "loss": 0.7581, + "step": 6657 + }, + { + "epoch": 0.2, + "learning_rate": 9.298061496812023e-06, + "loss": 0.5827, + "step": 6658 + }, + { + "epoch": 0.2, + "learning_rate": 9.29781838508041e-06, + "loss": 0.8466, + "step": 6659 + }, + { + "epoch": 0.2, + "learning_rate": 9.29757523443542e-06, + "loss": 0.7094, + "step": 6660 + }, + { + "epoch": 0.2, + "learning_rate": 9.297332044879259e-06, + "loss": 0.7315, + "step": 6661 + }, + { + "epoch": 0.2, + "learning_rate": 9.297088816414128e-06, + "loss": 0.5952, + "step": 6662 + }, + { + "epoch": 0.2, + "learning_rate": 9.296845549042227e-06, + "loss": 0.641, + "step": 6663 + }, + { + "epoch": 0.2, + "learning_rate": 9.29660224276576e-06, + "loss": 0.79, + "step": 6664 + }, + { + "epoch": 0.2, + "learning_rate": 9.29635889758693e-06, + "loss": 0.9506, + "step": 6665 + }, + { + "epoch": 0.2, + "learning_rate": 9.296115513507939e-06, + "loss": 0.7565, + "step": 6666 + }, + { + "epoch": 0.2, + "learning_rate": 9.295872090530994e-06, + "loss": 0.6632, + "step": 6667 + }, + { + "epoch": 0.2, + "learning_rate": 9.295628628658295e-06, + "loss": 0.8017, + "step": 6668 + }, + { + "epoch": 0.2, + "learning_rate": 9.295385127892048e-06, + "loss": 0.8308, + "step": 6669 + }, + { + "epoch": 0.2, + "learning_rate": 9.295141588234457e-06, + "loss": 0.7821, + "step": 6670 + }, + { + "epoch": 0.2, + "learning_rate": 9.29489800968773e-06, + "loss": 0.6242, + "step": 6671 + }, + { + "epoch": 0.2, + "learning_rate": 9.29465439225407e-06, + "loss": 0.5575, + "step": 6672 + }, + { + "epoch": 0.2, + "learning_rate": 9.294410735935682e-06, + "loss": 0.9014, + "step": 6673 + }, + { + "epoch": 0.2, + "learning_rate": 9.294167040734775e-06, + "loss": 0.8232, + "step": 6674 + }, + { + "epoch": 0.2, + "learning_rate": 9.293923306653553e-06, + "loss": 0.6697, + "step": 6675 + }, + { + "epoch": 0.2, + "learning_rate": 9.293679533694221e-06, + "loss": 0.5461, + "step": 6676 + }, + { + "epoch": 0.2, + "learning_rate": 9.29343572185899e-06, + "loss": 0.8925, + "step": 6677 + }, + { + "epoch": 0.2, + "learning_rate": 9.293191871150067e-06, + "loss": 0.7447, + "step": 6678 + }, + { + "epoch": 0.2, + "learning_rate": 9.29294798156966e-06, + "loss": 0.7204, + "step": 6679 + }, + { + "epoch": 0.2, + "learning_rate": 9.292704053119975e-06, + "loss": 0.7113, + "step": 6680 + }, + { + "epoch": 0.2, + "learning_rate": 9.292460085803221e-06, + "loss": 0.9588, + "step": 6681 + }, + { + "epoch": 0.2, + "learning_rate": 9.292216079621608e-06, + "loss": 0.8033, + "step": 6682 + }, + { + "epoch": 0.2, + "learning_rate": 9.291972034577345e-06, + "loss": 0.6001, + "step": 6683 + }, + { + "epoch": 0.2, + "learning_rate": 9.291727950672643e-06, + "loss": 0.7785, + "step": 6684 + }, + { + "epoch": 0.2, + "learning_rate": 9.29148382790971e-06, + "loss": 0.677, + "step": 6685 + }, + { + "epoch": 0.2, + "learning_rate": 9.291239666290757e-06, + "loss": 0.7464, + "step": 6686 + }, + { + "epoch": 0.2, + "learning_rate": 9.290995465817996e-06, + "loss": 0.7911, + "step": 6687 + }, + { + "epoch": 0.2, + "learning_rate": 9.290751226493635e-06, + "loss": 0.9933, + "step": 6688 + }, + { + "epoch": 0.2, + "learning_rate": 9.290506948319888e-06, + "loss": 0.5903, + "step": 6689 + }, + { + "epoch": 0.2, + "learning_rate": 9.290262631298966e-06, + "loss": 0.4418, + "step": 6690 + }, + { + "epoch": 0.2, + "learning_rate": 9.29001827543308e-06, + "loss": 0.7597, + "step": 6691 + }, + { + "epoch": 0.2, + "learning_rate": 9.289773880724445e-06, + "loss": 1.2889, + "step": 6692 + }, + { + "epoch": 0.2, + "learning_rate": 9.289529447175272e-06, + "loss": 0.7583, + "step": 6693 + }, + { + "epoch": 0.2, + "learning_rate": 9.289284974787773e-06, + "loss": 0.7265, + "step": 6694 + }, + { + "epoch": 0.2, + "learning_rate": 9.289040463564162e-06, + "loss": 0.7241, + "step": 6695 + }, + { + "epoch": 0.2, + "learning_rate": 9.288795913506658e-06, + "loss": 0.636, + "step": 6696 + }, + { + "epoch": 0.2, + "learning_rate": 9.288551324617468e-06, + "loss": 0.625, + "step": 6697 + }, + { + "epoch": 0.2, + "learning_rate": 9.28830669689881e-06, + "loss": 0.7431, + "step": 6698 + }, + { + "epoch": 0.2, + "learning_rate": 9.288062030352898e-06, + "loss": 0.679, + "step": 6699 + }, + { + "epoch": 0.2, + "learning_rate": 9.28781732498195e-06, + "loss": 0.8474, + "step": 6700 + }, + { + "epoch": 0.2, + "learning_rate": 9.287572580788177e-06, + "loss": 0.8558, + "step": 6701 + }, + { + "epoch": 0.2, + "learning_rate": 9.287327797773798e-06, + "loss": 0.7532, + "step": 6702 + }, + { + "epoch": 0.2, + "learning_rate": 9.287082975941028e-06, + "loss": 0.6792, + "step": 6703 + }, + { + "epoch": 0.2, + "learning_rate": 9.286838115292085e-06, + "loss": 0.6835, + "step": 6704 + }, + { + "epoch": 0.2, + "learning_rate": 9.286593215829185e-06, + "loss": 0.7758, + "step": 6705 + }, + { + "epoch": 0.2, + "learning_rate": 9.286348277554547e-06, + "loss": 0.9478, + "step": 6706 + }, + { + "epoch": 0.2, + "learning_rate": 9.286103300470387e-06, + "loss": 0.5863, + "step": 6707 + }, + { + "epoch": 0.2, + "learning_rate": 9.285858284578922e-06, + "loss": 0.8145, + "step": 6708 + }, + { + "epoch": 0.2, + "learning_rate": 9.285613229882374e-06, + "loss": 0.6472, + "step": 6709 + }, + { + "epoch": 0.2, + "learning_rate": 9.285368136382957e-06, + "loss": 0.729, + "step": 6710 + }, + { + "epoch": 0.2, + "learning_rate": 9.285123004082895e-06, + "loss": 0.4865, + "step": 6711 + }, + { + "epoch": 0.2, + "learning_rate": 9.284877832984405e-06, + "loss": 0.7502, + "step": 6712 + }, + { + "epoch": 0.2, + "learning_rate": 9.284632623089706e-06, + "loss": 0.776, + "step": 6713 + }, + { + "epoch": 0.2, + "learning_rate": 9.28438737440102e-06, + "loss": 0.7164, + "step": 6714 + }, + { + "epoch": 0.2, + "learning_rate": 9.284142086920567e-06, + "loss": 0.6855, + "step": 6715 + }, + { + "epoch": 0.2, + "learning_rate": 9.283896760650567e-06, + "loss": 0.6205, + "step": 6716 + }, + { + "epoch": 0.2, + "learning_rate": 9.283651395593243e-06, + "loss": 0.6611, + "step": 6717 + }, + { + "epoch": 0.2, + "learning_rate": 9.283405991750815e-06, + "loss": 0.7797, + "step": 6718 + }, + { + "epoch": 0.2, + "learning_rate": 9.283160549125507e-06, + "loss": 0.9046, + "step": 6719 + }, + { + "epoch": 0.2, + "learning_rate": 9.282915067719539e-06, + "loss": 0.652, + "step": 6720 + }, + { + "epoch": 0.2, + "learning_rate": 9.282669547535133e-06, + "loss": 0.4788, + "step": 6721 + }, + { + "epoch": 0.2, + "learning_rate": 9.282423988574513e-06, + "loss": 0.7118, + "step": 6722 + }, + { + "epoch": 0.2, + "learning_rate": 9.282178390839905e-06, + "loss": 0.5662, + "step": 6723 + }, + { + "epoch": 0.2, + "learning_rate": 9.281932754333529e-06, + "loss": 0.56, + "step": 6724 + }, + { + "epoch": 0.2, + "learning_rate": 9.281687079057612e-06, + "loss": 0.607, + "step": 6725 + }, + { + "epoch": 0.2, + "learning_rate": 9.281441365014376e-06, + "loss": 0.4887, + "step": 6726 + }, + { + "epoch": 0.2, + "learning_rate": 9.281195612206046e-06, + "loss": 0.7157, + "step": 6727 + }, + { + "epoch": 0.2, + "learning_rate": 9.280949820634849e-06, + "loss": 0.5839, + "step": 6728 + }, + { + "epoch": 0.2, + "learning_rate": 9.28070399030301e-06, + "loss": 0.7589, + "step": 6729 + }, + { + "epoch": 0.2, + "learning_rate": 9.280458121212751e-06, + "loss": 0.7322, + "step": 6730 + }, + { + "epoch": 0.2, + "learning_rate": 9.280212213366304e-06, + "loss": 0.9178, + "step": 6731 + }, + { + "epoch": 0.2, + "learning_rate": 9.279966266765893e-06, + "loss": 0.7998, + "step": 6732 + }, + { + "epoch": 0.2, + "learning_rate": 9.279720281413742e-06, + "loss": 0.5873, + "step": 6733 + }, + { + "epoch": 0.2, + "learning_rate": 9.27947425731208e-06, + "loss": 0.6962, + "step": 6734 + }, + { + "epoch": 0.2, + "learning_rate": 9.27922819446314e-06, + "loss": 0.8089, + "step": 6735 + }, + { + "epoch": 0.2, + "learning_rate": 9.27898209286914e-06, + "loss": 0.9537, + "step": 6736 + }, + { + "epoch": 0.2, + "learning_rate": 9.278735952532316e-06, + "loss": 0.8142, + "step": 6737 + }, + { + "epoch": 0.2, + "learning_rate": 9.278489773454894e-06, + "loss": 1.0017, + "step": 6738 + }, + { + "epoch": 0.2, + "learning_rate": 9.278243555639103e-06, + "loss": 0.789, + "step": 6739 + }, + { + "epoch": 0.2, + "learning_rate": 9.277997299087171e-06, + "loss": 0.7806, + "step": 6740 + }, + { + "epoch": 0.2, + "learning_rate": 9.277751003801332e-06, + "loss": 1.0303, + "step": 6741 + }, + { + "epoch": 0.2, + "learning_rate": 9.27750466978381e-06, + "loss": 0.8185, + "step": 6742 + }, + { + "epoch": 0.2, + "learning_rate": 9.27725829703684e-06, + "loss": 0.8285, + "step": 6743 + }, + { + "epoch": 0.2, + "learning_rate": 9.27701188556265e-06, + "loss": 0.6948, + "step": 6744 + }, + { + "epoch": 0.2, + "learning_rate": 9.276765435363473e-06, + "loss": 0.6565, + "step": 6745 + }, + { + "epoch": 0.2, + "learning_rate": 9.276518946441538e-06, + "loss": 0.67, + "step": 6746 + }, + { + "epoch": 0.2, + "learning_rate": 9.27627241879908e-06, + "loss": 0.7518, + "step": 6747 + }, + { + "epoch": 0.2, + "learning_rate": 9.276025852438328e-06, + "loss": 0.671, + "step": 6748 + }, + { + "epoch": 0.2, + "learning_rate": 9.275779247361518e-06, + "loss": 0.8398, + "step": 6749 + }, + { + "epoch": 0.2, + "learning_rate": 9.27553260357088e-06, + "loss": 0.9232, + "step": 6750 + }, + { + "epoch": 0.2, + "learning_rate": 9.275285921068646e-06, + "loss": 0.6137, + "step": 6751 + }, + { + "epoch": 0.2, + "learning_rate": 9.275039199857053e-06, + "loss": 0.8114, + "step": 6752 + }, + { + "epoch": 0.2, + "learning_rate": 9.274792439938335e-06, + "loss": 0.6695, + "step": 6753 + }, + { + "epoch": 0.2, + "learning_rate": 9.27454564131472e-06, + "loss": 0.85, + "step": 6754 + }, + { + "epoch": 0.2, + "learning_rate": 9.27429880398845e-06, + "loss": 0.7625, + "step": 6755 + }, + { + "epoch": 0.2, + "learning_rate": 9.274051927961756e-06, + "loss": 0.9191, + "step": 6756 + }, + { + "epoch": 0.2, + "learning_rate": 9.273805013236875e-06, + "loss": 0.7254, + "step": 6757 + }, + { + "epoch": 0.2, + "learning_rate": 9.273558059816041e-06, + "loss": 0.8584, + "step": 6758 + }, + { + "epoch": 0.2, + "learning_rate": 9.273311067701492e-06, + "loss": 0.7964, + "step": 6759 + }, + { + "epoch": 0.2, + "learning_rate": 9.273064036895462e-06, + "loss": 0.9744, + "step": 6760 + }, + { + "epoch": 0.2, + "learning_rate": 9.272816967400189e-06, + "loss": 0.8428, + "step": 6761 + }, + { + "epoch": 0.2, + "learning_rate": 9.272569859217911e-06, + "loss": 0.7654, + "step": 6762 + }, + { + "epoch": 0.2, + "learning_rate": 9.272322712350863e-06, + "loss": 0.601, + "step": 6763 + }, + { + "epoch": 0.2, + "learning_rate": 9.272075526801283e-06, + "loss": 0.688, + "step": 6764 + }, + { + "epoch": 0.2, + "learning_rate": 9.27182830257141e-06, + "loss": 0.72, + "step": 6765 + }, + { + "epoch": 0.2, + "learning_rate": 9.271581039663484e-06, + "loss": 0.77, + "step": 6766 + }, + { + "epoch": 0.2, + "learning_rate": 9.271333738079742e-06, + "loss": 0.8263, + "step": 6767 + }, + { + "epoch": 0.2, + "learning_rate": 9.271086397822424e-06, + "loss": 0.7634, + "step": 6768 + }, + { + "epoch": 0.2, + "learning_rate": 9.270839018893767e-06, + "loss": 0.7968, + "step": 6769 + }, + { + "epoch": 0.2, + "learning_rate": 9.270591601296014e-06, + "loss": 0.6906, + "step": 6770 + }, + { + "epoch": 0.2, + "learning_rate": 9.270344145031402e-06, + "loss": 0.7921, + "step": 6771 + }, + { + "epoch": 0.2, + "learning_rate": 9.270096650102175e-06, + "loss": 1.1263, + "step": 6772 + }, + { + "epoch": 0.2, + "learning_rate": 9.26984911651057e-06, + "loss": 0.6234, + "step": 6773 + }, + { + "epoch": 0.2, + "learning_rate": 9.269601544258833e-06, + "loss": 0.9585, + "step": 6774 + }, + { + "epoch": 0.2, + "learning_rate": 9.269353933349202e-06, + "loss": 0.5888, + "step": 6775 + }, + { + "epoch": 0.2, + "learning_rate": 9.26910628378392e-06, + "loss": 0.8181, + "step": 6776 + }, + { + "epoch": 0.2, + "learning_rate": 9.268858595565229e-06, + "loss": 1.019, + "step": 6777 + }, + { + "epoch": 0.2, + "learning_rate": 9.268610868695371e-06, + "loss": 0.7114, + "step": 6778 + }, + { + "epoch": 0.2, + "learning_rate": 9.26836310317659e-06, + "loss": 0.7988, + "step": 6779 + }, + { + "epoch": 0.2, + "learning_rate": 9.268115299011129e-06, + "loss": 0.7804, + "step": 6780 + }, + { + "epoch": 0.2, + "learning_rate": 9.267867456201233e-06, + "loss": 0.7233, + "step": 6781 + }, + { + "epoch": 0.2, + "learning_rate": 9.267619574749144e-06, + "loss": 0.8605, + "step": 6782 + }, + { + "epoch": 0.2, + "learning_rate": 9.267371654657107e-06, + "loss": 0.4536, + "step": 6783 + }, + { + "epoch": 0.2, + "learning_rate": 9.267123695927366e-06, + "loss": 0.7194, + "step": 6784 + }, + { + "epoch": 0.2, + "learning_rate": 9.266875698562169e-06, + "loss": 0.7671, + "step": 6785 + }, + { + "epoch": 0.2, + "learning_rate": 9.266627662563758e-06, + "loss": 0.8787, + "step": 6786 + }, + { + "epoch": 0.2, + "learning_rate": 9.26637958793438e-06, + "loss": 0.6924, + "step": 6787 + }, + { + "epoch": 0.2, + "learning_rate": 9.26613147467628e-06, + "loss": 0.78, + "step": 6788 + }, + { + "epoch": 0.2, + "learning_rate": 9.265883322791709e-06, + "loss": 0.7513, + "step": 6789 + }, + { + "epoch": 0.2, + "learning_rate": 9.265635132282908e-06, + "loss": 0.7823, + "step": 6790 + }, + { + "epoch": 0.2, + "learning_rate": 9.265386903152129e-06, + "loss": 0.6025, + "step": 6791 + }, + { + "epoch": 0.2, + "learning_rate": 9.265138635401616e-06, + "loss": 0.6309, + "step": 6792 + }, + { + "epoch": 0.2, + "learning_rate": 9.264890329033617e-06, + "loss": 0.7076, + "step": 6793 + }, + { + "epoch": 0.2, + "learning_rate": 9.264641984050382e-06, + "loss": 0.5972, + "step": 6794 + }, + { + "epoch": 0.2, + "learning_rate": 9.26439360045416e-06, + "loss": 0.6922, + "step": 6795 + }, + { + "epoch": 0.2, + "learning_rate": 9.264145178247197e-06, + "loss": 0.6296, + "step": 6796 + }, + { + "epoch": 0.2, + "learning_rate": 9.263896717431745e-06, + "loss": 0.5753, + "step": 6797 + }, + { + "epoch": 0.2, + "learning_rate": 9.263648218010052e-06, + "loss": 0.7207, + "step": 6798 + }, + { + "epoch": 0.2, + "learning_rate": 9.263399679984368e-06, + "loss": 0.7975, + "step": 6799 + }, + { + "epoch": 0.2, + "learning_rate": 9.263151103356946e-06, + "loss": 0.6396, + "step": 6800 + }, + { + "epoch": 0.2, + "learning_rate": 9.262902488130035e-06, + "loss": 0.67, + "step": 6801 + }, + { + "epoch": 0.2, + "learning_rate": 9.262653834305884e-06, + "loss": 1.0484, + "step": 6802 + }, + { + "epoch": 0.2, + "learning_rate": 9.262405141886745e-06, + "loss": 0.6188, + "step": 6803 + }, + { + "epoch": 0.2, + "learning_rate": 9.262156410874873e-06, + "loss": 0.7605, + "step": 6804 + }, + { + "epoch": 0.2, + "learning_rate": 9.261907641272516e-06, + "loss": 0.8746, + "step": 6805 + }, + { + "epoch": 0.2, + "learning_rate": 9.26165883308193e-06, + "loss": 1.0749, + "step": 6806 + }, + { + "epoch": 0.2, + "learning_rate": 9.261409986305366e-06, + "loss": 0.9063, + "step": 6807 + }, + { + "epoch": 0.2, + "learning_rate": 9.261161100945076e-06, + "loss": 0.7826, + "step": 6808 + }, + { + "epoch": 0.2, + "learning_rate": 9.260912177003314e-06, + "loss": 0.4564, + "step": 6809 + }, + { + "epoch": 0.2, + "learning_rate": 9.260663214482335e-06, + "loss": 0.7731, + "step": 6810 + }, + { + "epoch": 0.2, + "learning_rate": 9.260414213384393e-06, + "loss": 0.743, + "step": 6811 + }, + { + "epoch": 0.2, + "learning_rate": 9.260165173711742e-06, + "loss": 0.9795, + "step": 6812 + }, + { + "epoch": 0.2, + "learning_rate": 9.259916095466637e-06, + "loss": 0.7999, + "step": 6813 + }, + { + "epoch": 0.2, + "learning_rate": 9.259666978651331e-06, + "loss": 0.9509, + "step": 6814 + }, + { + "epoch": 0.2, + "learning_rate": 9.259417823268084e-06, + "loss": 0.6404, + "step": 6815 + }, + { + "epoch": 0.2, + "learning_rate": 9.259168629319149e-06, + "loss": 0.8197, + "step": 6816 + }, + { + "epoch": 0.2, + "learning_rate": 9.258919396806783e-06, + "loss": 0.684, + "step": 6817 + }, + { + "epoch": 0.2, + "learning_rate": 9.258670125733242e-06, + "loss": 0.8701, + "step": 6818 + }, + { + "epoch": 0.2, + "learning_rate": 9.258420816100784e-06, + "loss": 0.5736, + "step": 6819 + }, + { + "epoch": 0.2, + "learning_rate": 9.258171467911665e-06, + "loss": 0.6359, + "step": 6820 + }, + { + "epoch": 0.2, + "learning_rate": 9.257922081168142e-06, + "loss": 0.5999, + "step": 6821 + }, + { + "epoch": 0.2, + "learning_rate": 9.257672655872478e-06, + "loss": 0.8568, + "step": 6822 + }, + { + "epoch": 0.2, + "learning_rate": 9.257423192026925e-06, + "loss": 0.6803, + "step": 6823 + }, + { + "epoch": 0.2, + "learning_rate": 9.257173689633746e-06, + "loss": 0.7281, + "step": 6824 + }, + { + "epoch": 0.2, + "learning_rate": 9.256924148695197e-06, + "loss": 0.8317, + "step": 6825 + }, + { + "epoch": 0.2, + "learning_rate": 9.256674569213538e-06, + "loss": 0.9455, + "step": 6826 + }, + { + "epoch": 0.2, + "learning_rate": 9.256424951191031e-06, + "loss": 0.6419, + "step": 6827 + }, + { + "epoch": 0.2, + "learning_rate": 9.256175294629934e-06, + "loss": 0.6078, + "step": 6828 + }, + { + "epoch": 0.2, + "learning_rate": 9.25592559953251e-06, + "loss": 0.9413, + "step": 6829 + }, + { + "epoch": 0.2, + "learning_rate": 9.255675865901015e-06, + "loss": 0.8006, + "step": 6830 + }, + { + "epoch": 0.2, + "learning_rate": 9.255426093737713e-06, + "loss": 0.6477, + "step": 6831 + }, + { + "epoch": 0.2, + "learning_rate": 9.255176283044869e-06, + "loss": 0.6432, + "step": 6832 + }, + { + "epoch": 0.2, + "learning_rate": 9.254926433824739e-06, + "loss": 0.7234, + "step": 6833 + }, + { + "epoch": 0.2, + "learning_rate": 9.254676546079589e-06, + "loss": 0.6714, + "step": 6834 + }, + { + "epoch": 0.2, + "learning_rate": 9.254426619811679e-06, + "loss": 0.8005, + "step": 6835 + }, + { + "epoch": 0.2, + "learning_rate": 9.254176655023273e-06, + "loss": 0.5947, + "step": 6836 + }, + { + "epoch": 0.2, + "learning_rate": 9.253926651716632e-06, + "loss": 0.5563, + "step": 6837 + }, + { + "epoch": 0.2, + "learning_rate": 9.253676609894024e-06, + "loss": 0.5148, + "step": 6838 + }, + { + "epoch": 0.2, + "learning_rate": 9.253426529557712e-06, + "loss": 0.6959, + "step": 6839 + }, + { + "epoch": 0.2, + "learning_rate": 9.253176410709958e-06, + "loss": 0.7077, + "step": 6840 + }, + { + "epoch": 0.2, + "learning_rate": 9.252926253353027e-06, + "loss": 0.6483, + "step": 6841 + }, + { + "epoch": 0.2, + "learning_rate": 9.252676057489185e-06, + "loss": 0.9036, + "step": 6842 + }, + { + "epoch": 0.2, + "learning_rate": 9.252425823120697e-06, + "loss": 0.732, + "step": 6843 + }, + { + "epoch": 0.2, + "learning_rate": 9.252175550249829e-06, + "loss": 0.7719, + "step": 6844 + }, + { + "epoch": 0.2, + "learning_rate": 9.251925238878846e-06, + "loss": 0.6841, + "step": 6845 + }, + { + "epoch": 0.2, + "learning_rate": 9.251674889010017e-06, + "loss": 0.7425, + "step": 6846 + }, + { + "epoch": 0.2, + "learning_rate": 9.251424500645603e-06, + "loss": 0.6043, + "step": 6847 + }, + { + "epoch": 0.2, + "learning_rate": 9.251174073787879e-06, + "loss": 0.5714, + "step": 6848 + }, + { + "epoch": 0.2, + "learning_rate": 9.250923608439105e-06, + "loss": 0.7999, + "step": 6849 + }, + { + "epoch": 0.2, + "learning_rate": 9.250673104601553e-06, + "loss": 0.7399, + "step": 6850 + }, + { + "epoch": 0.2, + "learning_rate": 9.25042256227749e-06, + "loss": 0.4636, + "step": 6851 + }, + { + "epoch": 0.2, + "learning_rate": 9.250171981469186e-06, + "loss": 0.8357, + "step": 6852 + }, + { + "epoch": 0.2, + "learning_rate": 9.249921362178906e-06, + "loss": 0.65, + "step": 6853 + }, + { + "epoch": 0.2, + "learning_rate": 9.249670704408925e-06, + "loss": 0.7858, + "step": 6854 + }, + { + "epoch": 0.2, + "learning_rate": 9.249420008161506e-06, + "loss": 0.8099, + "step": 6855 + }, + { + "epoch": 0.2, + "learning_rate": 9.249169273438923e-06, + "loss": 0.6738, + "step": 6856 + }, + { + "epoch": 0.2, + "learning_rate": 9.248918500243445e-06, + "loss": 0.8852, + "step": 6857 + }, + { + "epoch": 0.2, + "learning_rate": 9.248667688577342e-06, + "loss": 1.038, + "step": 6858 + }, + { + "epoch": 0.2, + "learning_rate": 9.248416838442886e-06, + "loss": 0.7856, + "step": 6859 + }, + { + "epoch": 0.2, + "learning_rate": 9.248165949842349e-06, + "loss": 0.729, + "step": 6860 + }, + { + "epoch": 0.2, + "learning_rate": 9.247915022778e-06, + "loss": 0.5787, + "step": 6861 + }, + { + "epoch": 0.2, + "learning_rate": 9.247664057252113e-06, + "loss": 0.6768, + "step": 6862 + }, + { + "epoch": 0.2, + "learning_rate": 9.24741305326696e-06, + "loss": 0.6996, + "step": 6863 + }, + { + "epoch": 0.2, + "learning_rate": 9.247162010824815e-06, + "loss": 0.5275, + "step": 6864 + }, + { + "epoch": 0.2, + "learning_rate": 9.246910929927945e-06, + "loss": 0.9369, + "step": 6865 + }, + { + "epoch": 0.2, + "learning_rate": 9.246659810578632e-06, + "loss": 0.7587, + "step": 6866 + }, + { + "epoch": 0.2, + "learning_rate": 9.246408652779141e-06, + "loss": 0.9508, + "step": 6867 + }, + { + "epoch": 0.2, + "learning_rate": 9.246157456531755e-06, + "loss": 0.6064, + "step": 6868 + }, + { + "epoch": 0.2, + "learning_rate": 9.24590622183874e-06, + "loss": 0.6526, + "step": 6869 + }, + { + "epoch": 0.2, + "learning_rate": 9.245654948702376e-06, + "loss": 0.8219, + "step": 6870 + }, + { + "epoch": 0.2, + "learning_rate": 9.245403637124938e-06, + "loss": 0.8907, + "step": 6871 + }, + { + "epoch": 0.2, + "learning_rate": 9.245152287108698e-06, + "loss": 0.8169, + "step": 6872 + }, + { + "epoch": 0.2, + "learning_rate": 9.244900898655935e-06, + "loss": 0.8109, + "step": 6873 + }, + { + "epoch": 0.2, + "learning_rate": 9.244649471768922e-06, + "loss": 0.8826, + "step": 6874 + }, + { + "epoch": 0.2, + "learning_rate": 9.24439800644994e-06, + "loss": 1.0429, + "step": 6875 + }, + { + "epoch": 0.2, + "learning_rate": 9.244146502701262e-06, + "loss": 0.8889, + "step": 6876 + }, + { + "epoch": 0.2, + "learning_rate": 9.243894960525166e-06, + "loss": 0.8288, + "step": 6877 + }, + { + "epoch": 0.2, + "learning_rate": 9.243643379923931e-06, + "loss": 0.5636, + "step": 6878 + }, + { + "epoch": 0.2, + "learning_rate": 9.243391760899833e-06, + "loss": 0.6349, + "step": 6879 + }, + { + "epoch": 0.2, + "learning_rate": 9.24314010345515e-06, + "loss": 0.6457, + "step": 6880 + }, + { + "epoch": 0.2, + "learning_rate": 9.242888407592162e-06, + "loss": 0.973, + "step": 6881 + }, + { + "epoch": 0.2, + "learning_rate": 9.24263667331315e-06, + "loss": 0.831, + "step": 6882 + }, + { + "epoch": 0.2, + "learning_rate": 9.24238490062039e-06, + "loss": 0.9747, + "step": 6883 + }, + { + "epoch": 0.2, + "learning_rate": 9.242133089516159e-06, + "loss": 0.8455, + "step": 6884 + }, + { + "epoch": 0.2, + "learning_rate": 9.241881240002744e-06, + "loss": 1.0187, + "step": 6885 + }, + { + "epoch": 0.2, + "learning_rate": 9.24162935208242e-06, + "loss": 0.599, + "step": 6886 + }, + { + "epoch": 0.2, + "learning_rate": 9.241377425757467e-06, + "loss": 0.7035, + "step": 6887 + }, + { + "epoch": 0.2, + "learning_rate": 9.24112546103017e-06, + "loss": 0.9478, + "step": 6888 + }, + { + "epoch": 0.2, + "learning_rate": 9.24087345790281e-06, + "loss": 0.7957, + "step": 6889 + }, + { + "epoch": 0.2, + "learning_rate": 9.240621416377666e-06, + "loss": 0.788, + "step": 6890 + }, + { + "epoch": 0.2, + "learning_rate": 9.240369336457022e-06, + "loss": 0.7059, + "step": 6891 + }, + { + "epoch": 0.2, + "learning_rate": 9.240117218143159e-06, + "loss": 0.5663, + "step": 6892 + }, + { + "epoch": 0.2, + "learning_rate": 9.23986506143836e-06, + "loss": 0.9816, + "step": 6893 + }, + { + "epoch": 0.2, + "learning_rate": 9.239612866344909e-06, + "loss": 0.9462, + "step": 6894 + }, + { + "epoch": 0.2, + "learning_rate": 9.239360632865089e-06, + "loss": 0.8123, + "step": 6895 + }, + { + "epoch": 0.2, + "learning_rate": 9.239108361001183e-06, + "loss": 0.9023, + "step": 6896 + }, + { + "epoch": 0.2, + "learning_rate": 9.238856050755477e-06, + "loss": 0.6978, + "step": 6897 + }, + { + "epoch": 0.2, + "learning_rate": 9.238603702130253e-06, + "loss": 0.7501, + "step": 6898 + }, + { + "epoch": 0.2, + "learning_rate": 9.238351315127799e-06, + "loss": 0.529, + "step": 6899 + }, + { + "epoch": 0.2, + "learning_rate": 9.238098889750396e-06, + "loss": 0.8289, + "step": 6900 + }, + { + "epoch": 0.2, + "learning_rate": 9.237846426000334e-06, + "loss": 0.8314, + "step": 6901 + }, + { + "epoch": 0.2, + "learning_rate": 9.237593923879895e-06, + "loss": 0.77, + "step": 6902 + }, + { + "epoch": 0.2, + "learning_rate": 9.237341383391367e-06, + "loss": 0.7566, + "step": 6903 + }, + { + "epoch": 0.2, + "learning_rate": 9.237088804537037e-06, + "loss": 0.7367, + "step": 6904 + }, + { + "epoch": 0.2, + "learning_rate": 9.236836187319191e-06, + "loss": 0.6455, + "step": 6905 + }, + { + "epoch": 0.2, + "learning_rate": 9.236583531740116e-06, + "loss": 0.6343, + "step": 6906 + }, + { + "epoch": 0.2, + "learning_rate": 9.236330837802101e-06, + "loss": 0.8408, + "step": 6907 + }, + { + "epoch": 0.2, + "learning_rate": 9.236078105507433e-06, + "loss": 0.7622, + "step": 6908 + }, + { + "epoch": 0.2, + "learning_rate": 9.2358253348584e-06, + "loss": 0.7001, + "step": 6909 + }, + { + "epoch": 0.2, + "learning_rate": 9.235572525857292e-06, + "loss": 0.6616, + "step": 6910 + }, + { + "epoch": 0.2, + "learning_rate": 9.235319678506396e-06, + "loss": 0.8502, + "step": 6911 + }, + { + "epoch": 0.2, + "learning_rate": 9.235066792808003e-06, + "loss": 0.4597, + "step": 6912 + }, + { + "epoch": 0.2, + "learning_rate": 9.234813868764401e-06, + "loss": 0.6041, + "step": 6913 + }, + { + "epoch": 0.2, + "learning_rate": 9.234560906377882e-06, + "loss": 0.9128, + "step": 6914 + }, + { + "epoch": 0.2, + "learning_rate": 9.234307905650734e-06, + "loss": 0.8303, + "step": 6915 + }, + { + "epoch": 0.2, + "learning_rate": 9.234054866585252e-06, + "loss": 0.6719, + "step": 6916 + }, + { + "epoch": 0.2, + "learning_rate": 9.233801789183721e-06, + "loss": 0.7435, + "step": 6917 + }, + { + "epoch": 0.2, + "learning_rate": 9.233548673448437e-06, + "loss": 0.7067, + "step": 6918 + }, + { + "epoch": 0.2, + "learning_rate": 9.23329551938169e-06, + "loss": 0.994, + "step": 6919 + }, + { + "epoch": 0.2, + "learning_rate": 9.233042326985774e-06, + "loss": 0.6285, + "step": 6920 + }, + { + "epoch": 0.2, + "learning_rate": 9.23278909626298e-06, + "loss": 0.7987, + "step": 6921 + }, + { + "epoch": 0.2, + "learning_rate": 9.232535827215601e-06, + "loss": 0.9419, + "step": 6922 + }, + { + "epoch": 0.2, + "learning_rate": 9.232282519845928e-06, + "loss": 0.859, + "step": 6923 + }, + { + "epoch": 0.2, + "learning_rate": 9.232029174156257e-06, + "loss": 0.9711, + "step": 6924 + }, + { + "epoch": 0.2, + "learning_rate": 9.231775790148883e-06, + "loss": 0.8192, + "step": 6925 + }, + { + "epoch": 0.2, + "learning_rate": 9.231522367826095e-06, + "loss": 0.9418, + "step": 6926 + }, + { + "epoch": 0.2, + "learning_rate": 9.231268907190194e-06, + "loss": 0.9762, + "step": 6927 + }, + { + "epoch": 0.2, + "learning_rate": 9.231015408243471e-06, + "loss": 0.7024, + "step": 6928 + }, + { + "epoch": 0.2, + "learning_rate": 9.230761870988223e-06, + "loss": 0.8936, + "step": 6929 + }, + { + "epoch": 0.2, + "learning_rate": 9.230508295426743e-06, + "loss": 0.9259, + "step": 6930 + }, + { + "epoch": 0.2, + "learning_rate": 9.23025468156133e-06, + "loss": 0.89, + "step": 6931 + }, + { + "epoch": 0.2, + "learning_rate": 9.230001029394279e-06, + "loss": 0.655, + "step": 6932 + }, + { + "epoch": 0.2, + "learning_rate": 9.229747338927885e-06, + "loss": 0.901, + "step": 6933 + }, + { + "epoch": 0.2, + "learning_rate": 9.229493610164449e-06, + "loss": 0.7383, + "step": 6934 + }, + { + "epoch": 0.2, + "learning_rate": 9.229239843106263e-06, + "loss": 0.644, + "step": 6935 + }, + { + "epoch": 0.2, + "learning_rate": 9.228986037755629e-06, + "loss": 0.9306, + "step": 6936 + }, + { + "epoch": 0.2, + "learning_rate": 9.228732194114845e-06, + "loss": 0.6608, + "step": 6937 + }, + { + "epoch": 0.2, + "learning_rate": 9.228478312186205e-06, + "loss": 0.8102, + "step": 6938 + }, + { + "epoch": 0.2, + "learning_rate": 9.228224391972013e-06, + "loss": 0.8438, + "step": 6939 + }, + { + "epoch": 0.2, + "learning_rate": 9.227970433474564e-06, + "loss": 0.9846, + "step": 6940 + }, + { + "epoch": 0.2, + "learning_rate": 9.227716436696159e-06, + "loss": 0.6976, + "step": 6941 + }, + { + "epoch": 0.2, + "learning_rate": 9.227462401639099e-06, + "loss": 0.8199, + "step": 6942 + }, + { + "epoch": 0.2, + "learning_rate": 9.227208328305682e-06, + "loss": 0.9886, + "step": 6943 + }, + { + "epoch": 0.2, + "learning_rate": 9.22695421669821e-06, + "loss": 1.0703, + "step": 6944 + }, + { + "epoch": 0.2, + "learning_rate": 9.226700066818983e-06, + "loss": 0.6182, + "step": 6945 + }, + { + "epoch": 0.2, + "learning_rate": 9.2264458786703e-06, + "loss": 0.7213, + "step": 6946 + }, + { + "epoch": 0.2, + "learning_rate": 9.226191652254465e-06, + "loss": 0.8399, + "step": 6947 + }, + { + "epoch": 0.2, + "learning_rate": 9.225937387573783e-06, + "loss": 0.8126, + "step": 6948 + }, + { + "epoch": 0.2, + "learning_rate": 9.22568308463055e-06, + "loss": 0.8797, + "step": 6949 + }, + { + "epoch": 0.2, + "learning_rate": 9.225428743427072e-06, + "loss": 0.6868, + "step": 6950 + }, + { + "epoch": 0.2, + "learning_rate": 9.22517436396565e-06, + "loss": 0.6904, + "step": 6951 + }, + { + "epoch": 0.2, + "learning_rate": 9.224919946248589e-06, + "loss": 0.7731, + "step": 6952 + }, + { + "epoch": 0.2, + "learning_rate": 9.22466549027819e-06, + "loss": 0.5654, + "step": 6953 + }, + { + "epoch": 0.2, + "learning_rate": 9.224410996056761e-06, + "loss": 0.8474, + "step": 6954 + }, + { + "epoch": 0.2, + "learning_rate": 9.224156463586604e-06, + "loss": 0.7128, + "step": 6955 + }, + { + "epoch": 0.2, + "learning_rate": 9.223901892870023e-06, + "loss": 0.784, + "step": 6956 + }, + { + "epoch": 0.2, + "learning_rate": 9.223647283909323e-06, + "loss": 0.6382, + "step": 6957 + }, + { + "epoch": 0.2, + "learning_rate": 9.22339263670681e-06, + "loss": 0.7706, + "step": 6958 + }, + { + "epoch": 0.2, + "learning_rate": 9.223137951264788e-06, + "loss": 0.8279, + "step": 6959 + }, + { + "epoch": 0.2, + "learning_rate": 9.222883227585565e-06, + "loss": 0.9035, + "step": 6960 + }, + { + "epoch": 0.2, + "learning_rate": 9.222628465671449e-06, + "loss": 0.7058, + "step": 6961 + }, + { + "epoch": 0.2, + "learning_rate": 9.222373665524742e-06, + "loss": 0.7699, + "step": 6962 + }, + { + "epoch": 0.2, + "learning_rate": 9.222118827147753e-06, + "loss": 0.8946, + "step": 6963 + }, + { + "epoch": 0.2, + "learning_rate": 9.22186395054279e-06, + "loss": 0.7619, + "step": 6964 + }, + { + "epoch": 0.2, + "learning_rate": 9.221609035712162e-06, + "loss": 0.9847, + "step": 6965 + }, + { + "epoch": 0.2, + "learning_rate": 9.221354082658173e-06, + "loss": 0.6317, + "step": 6966 + }, + { + "epoch": 0.2, + "learning_rate": 9.221099091383137e-06, + "loss": 0.8787, + "step": 6967 + }, + { + "epoch": 0.2, + "learning_rate": 9.220844061889359e-06, + "loss": 0.9155, + "step": 6968 + }, + { + "epoch": 0.2, + "learning_rate": 9.220588994179147e-06, + "loss": 1.1085, + "step": 6969 + }, + { + "epoch": 0.2, + "learning_rate": 9.220333888254813e-06, + "loss": 0.8452, + "step": 6970 + }, + { + "epoch": 0.2, + "learning_rate": 9.220078744118666e-06, + "loss": 0.7541, + "step": 6971 + }, + { + "epoch": 0.2, + "learning_rate": 9.219823561773015e-06, + "loss": 0.7291, + "step": 6972 + }, + { + "epoch": 0.2, + "learning_rate": 9.219568341220172e-06, + "loss": 0.6682, + "step": 6973 + }, + { + "epoch": 0.2, + "learning_rate": 9.21931308246245e-06, + "loss": 0.7493, + "step": 6974 + }, + { + "epoch": 0.2, + "learning_rate": 9.219057785502153e-06, + "loss": 0.5507, + "step": 6975 + }, + { + "epoch": 0.2, + "learning_rate": 9.2188024503416e-06, + "loss": 0.5883, + "step": 6976 + }, + { + "epoch": 0.2, + "learning_rate": 9.2185470769831e-06, + "loss": 0.6104, + "step": 6977 + }, + { + "epoch": 0.21, + "learning_rate": 9.218291665428963e-06, + "loss": 0.8249, + "step": 6978 + }, + { + "epoch": 0.21, + "learning_rate": 9.218036215681504e-06, + "loss": 0.8348, + "step": 6979 + }, + { + "epoch": 0.21, + "learning_rate": 9.217780727743038e-06, + "loss": 0.832, + "step": 6980 + }, + { + "epoch": 0.21, + "learning_rate": 9.217525201615874e-06, + "loss": 0.7372, + "step": 6981 + }, + { + "epoch": 0.21, + "learning_rate": 9.217269637302329e-06, + "loss": 0.7883, + "step": 6982 + }, + { + "epoch": 0.21, + "learning_rate": 9.217014034804713e-06, + "loss": 0.9624, + "step": 6983 + }, + { + "epoch": 0.21, + "learning_rate": 9.216758394125343e-06, + "loss": 0.9637, + "step": 6984 + }, + { + "epoch": 0.21, + "learning_rate": 9.216502715266535e-06, + "loss": 0.4518, + "step": 6985 + }, + { + "epoch": 0.21, + "learning_rate": 9.216246998230601e-06, + "loss": 0.8283, + "step": 6986 + }, + { + "epoch": 0.21, + "learning_rate": 9.215991243019858e-06, + "loss": 0.7386, + "step": 6987 + }, + { + "epoch": 0.21, + "learning_rate": 9.21573544963662e-06, + "loss": 0.9195, + "step": 6988 + }, + { + "epoch": 0.21, + "learning_rate": 9.215479618083205e-06, + "loss": 0.8476, + "step": 6989 + }, + { + "epoch": 0.21, + "learning_rate": 9.215223748361927e-06, + "loss": 0.8862, + "step": 6990 + }, + { + "epoch": 0.21, + "learning_rate": 9.214967840475107e-06, + "loss": 0.7816, + "step": 6991 + }, + { + "epoch": 0.21, + "learning_rate": 9.214711894425057e-06, + "loss": 0.6346, + "step": 6992 + }, + { + "epoch": 0.21, + "learning_rate": 9.214455910214099e-06, + "loss": 0.8771, + "step": 6993 + }, + { + "epoch": 0.21, + "learning_rate": 9.214199887844548e-06, + "loss": 0.9058, + "step": 6994 + }, + { + "epoch": 0.21, + "learning_rate": 9.21394382731872e-06, + "loss": 0.8223, + "step": 6995 + }, + { + "epoch": 0.21, + "learning_rate": 9.213687728638938e-06, + "loss": 0.7267, + "step": 6996 + }, + { + "epoch": 0.21, + "learning_rate": 9.213431591807518e-06, + "loss": 0.9189, + "step": 6997 + }, + { + "epoch": 0.21, + "learning_rate": 9.21317541682678e-06, + "loss": 0.856, + "step": 6998 + }, + { + "epoch": 0.21, + "learning_rate": 9.212919203699045e-06, + "loss": 0.7338, + "step": 6999 + }, + { + "epoch": 0.21, + "learning_rate": 9.212662952426628e-06, + "loss": 0.5763, + "step": 7000 + }, + { + "epoch": 0.21, + "learning_rate": 9.212406663011854e-06, + "loss": 0.6576, + "step": 7001 + }, + { + "epoch": 0.21, + "learning_rate": 9.212150335457042e-06, + "loss": 0.8325, + "step": 7002 + }, + { + "epoch": 0.21, + "learning_rate": 9.211893969764511e-06, + "loss": 0.8546, + "step": 7003 + }, + { + "epoch": 0.21, + "learning_rate": 9.211637565936584e-06, + "loss": 0.7008, + "step": 7004 + }, + { + "epoch": 0.21, + "learning_rate": 9.211381123975585e-06, + "loss": 0.6407, + "step": 7005 + }, + { + "epoch": 0.21, + "learning_rate": 9.211124643883831e-06, + "loss": 0.7578, + "step": 7006 + }, + { + "epoch": 0.21, + "learning_rate": 9.210868125663646e-06, + "loss": 0.81, + "step": 7007 + }, + { + "epoch": 0.21, + "learning_rate": 9.210611569317354e-06, + "loss": 0.9322, + "step": 7008 + }, + { + "epoch": 0.21, + "learning_rate": 9.210354974847276e-06, + "loss": 0.6165, + "step": 7009 + }, + { + "epoch": 0.21, + "learning_rate": 9.210098342255737e-06, + "loss": 0.5393, + "step": 7010 + }, + { + "epoch": 0.21, + "learning_rate": 9.20984167154506e-06, + "loss": 0.9469, + "step": 7011 + }, + { + "epoch": 0.21, + "learning_rate": 9.209584962717568e-06, + "loss": 0.8033, + "step": 7012 + }, + { + "epoch": 0.21, + "learning_rate": 9.209328215775585e-06, + "loss": 0.8947, + "step": 7013 + }, + { + "epoch": 0.21, + "learning_rate": 9.20907143072144e-06, + "loss": 0.7251, + "step": 7014 + }, + { + "epoch": 0.21, + "learning_rate": 9.208814607557452e-06, + "loss": 0.8348, + "step": 7015 + }, + { + "epoch": 0.21, + "learning_rate": 9.208557746285948e-06, + "loss": 1.0173, + "step": 7016 + }, + { + "epoch": 0.21, + "learning_rate": 9.208300846909258e-06, + "loss": 0.8075, + "step": 7017 + }, + { + "epoch": 0.21, + "learning_rate": 9.208043909429702e-06, + "loss": 0.6215, + "step": 7018 + }, + { + "epoch": 0.21, + "learning_rate": 9.207786933849611e-06, + "loss": 0.943, + "step": 7019 + }, + { + "epoch": 0.21, + "learning_rate": 9.207529920171307e-06, + "loss": 0.6347, + "step": 7020 + }, + { + "epoch": 0.21, + "learning_rate": 9.207272868397123e-06, + "loss": 0.9436, + "step": 7021 + }, + { + "epoch": 0.21, + "learning_rate": 9.20701577852938e-06, + "loss": 0.9427, + "step": 7022 + }, + { + "epoch": 0.21, + "learning_rate": 9.206758650570413e-06, + "loss": 0.7703, + "step": 7023 + }, + { + "epoch": 0.21, + "learning_rate": 9.206501484522543e-06, + "loss": 0.6121, + "step": 7024 + }, + { + "epoch": 0.21, + "learning_rate": 9.206244280388103e-06, + "loss": 0.7867, + "step": 7025 + }, + { + "epoch": 0.21, + "learning_rate": 9.20598703816942e-06, + "loss": 0.8071, + "step": 7026 + }, + { + "epoch": 0.21, + "learning_rate": 9.205729757868821e-06, + "loss": 0.5964, + "step": 7027 + }, + { + "epoch": 0.21, + "learning_rate": 9.20547243948864e-06, + "loss": 0.8243, + "step": 7028 + }, + { + "epoch": 0.21, + "learning_rate": 9.205215083031207e-06, + "loss": 0.8787, + "step": 7029 + }, + { + "epoch": 0.21, + "learning_rate": 9.204957688498845e-06, + "loss": 0.8081, + "step": 7030 + }, + { + "epoch": 0.21, + "learning_rate": 9.204700255893893e-06, + "loss": 1.1964, + "step": 7031 + }, + { + "epoch": 0.21, + "learning_rate": 9.204442785218678e-06, + "loss": 0.6857, + "step": 7032 + }, + { + "epoch": 0.21, + "learning_rate": 9.20418527647553e-06, + "loss": 0.7489, + "step": 7033 + }, + { + "epoch": 0.21, + "learning_rate": 9.203927729666782e-06, + "loss": 0.7761, + "step": 7034 + }, + { + "epoch": 0.21, + "learning_rate": 9.203670144794766e-06, + "loss": 0.901, + "step": 7035 + }, + { + "epoch": 0.21, + "learning_rate": 9.203412521861814e-06, + "loss": 0.592, + "step": 7036 + }, + { + "epoch": 0.21, + "learning_rate": 9.20315486087026e-06, + "loss": 0.823, + "step": 7037 + }, + { + "epoch": 0.21, + "learning_rate": 9.202897161822434e-06, + "loss": 0.4994, + "step": 7038 + }, + { + "epoch": 0.21, + "learning_rate": 9.20263942472067e-06, + "loss": 0.8639, + "step": 7039 + }, + { + "epoch": 0.21, + "learning_rate": 9.202381649567305e-06, + "loss": 0.6733, + "step": 7040 + }, + { + "epoch": 0.21, + "learning_rate": 9.20212383636467e-06, + "loss": 0.7633, + "step": 7041 + }, + { + "epoch": 0.21, + "learning_rate": 9.201865985115098e-06, + "loss": 0.649, + "step": 7042 + }, + { + "epoch": 0.21, + "learning_rate": 9.201608095820926e-06, + "loss": 0.8866, + "step": 7043 + }, + { + "epoch": 0.21, + "learning_rate": 9.201350168484487e-06, + "loss": 0.8324, + "step": 7044 + }, + { + "epoch": 0.21, + "learning_rate": 9.20109220310812e-06, + "loss": 0.7661, + "step": 7045 + }, + { + "epoch": 0.21, + "learning_rate": 9.200834199694158e-06, + "loss": 0.7832, + "step": 7046 + }, + { + "epoch": 0.21, + "learning_rate": 9.200576158244935e-06, + "loss": 1.0994, + "step": 7047 + }, + { + "epoch": 0.21, + "learning_rate": 9.200318078762792e-06, + "loss": 0.7672, + "step": 7048 + }, + { + "epoch": 0.21, + "learning_rate": 9.200059961250063e-06, + "loss": 0.9035, + "step": 7049 + }, + { + "epoch": 0.21, + "learning_rate": 9.199801805709084e-06, + "loss": 0.5695, + "step": 7050 + }, + { + "epoch": 0.21, + "learning_rate": 9.199543612142195e-06, + "loss": 0.6869, + "step": 7051 + }, + { + "epoch": 0.21, + "learning_rate": 9.199285380551733e-06, + "loss": 0.6736, + "step": 7052 + }, + { + "epoch": 0.21, + "learning_rate": 9.199027110940035e-06, + "loss": 0.6887, + "step": 7053 + }, + { + "epoch": 0.21, + "learning_rate": 9.19876880330944e-06, + "loss": 0.5897, + "step": 7054 + }, + { + "epoch": 0.21, + "learning_rate": 9.198510457662287e-06, + "loss": 0.9568, + "step": 7055 + }, + { + "epoch": 0.21, + "learning_rate": 9.198252074000915e-06, + "loss": 0.6283, + "step": 7056 + }, + { + "epoch": 0.21, + "learning_rate": 9.197993652327664e-06, + "loss": 0.5438, + "step": 7057 + }, + { + "epoch": 0.21, + "learning_rate": 9.197735192644871e-06, + "loss": 0.5642, + "step": 7058 + }, + { + "epoch": 0.21, + "learning_rate": 9.197476694954882e-06, + "loss": 0.9615, + "step": 7059 + }, + { + "epoch": 0.21, + "learning_rate": 9.197218159260032e-06, + "loss": 0.578, + "step": 7060 + }, + { + "epoch": 0.21, + "learning_rate": 9.196959585562663e-06, + "loss": 0.7444, + "step": 7061 + }, + { + "epoch": 0.21, + "learning_rate": 9.196700973865118e-06, + "loss": 0.7475, + "step": 7062 + }, + { + "epoch": 0.21, + "learning_rate": 9.196442324169738e-06, + "loss": 0.786, + "step": 7063 + }, + { + "epoch": 0.21, + "learning_rate": 9.196183636478863e-06, + "loss": 0.8647, + "step": 7064 + }, + { + "epoch": 0.21, + "learning_rate": 9.195924910794838e-06, + "loss": 1.0294, + "step": 7065 + }, + { + "epoch": 0.21, + "learning_rate": 9.195666147120002e-06, + "loss": 0.785, + "step": 7066 + }, + { + "epoch": 0.21, + "learning_rate": 9.195407345456701e-06, + "loss": 0.5276, + "step": 7067 + }, + { + "epoch": 0.21, + "learning_rate": 9.195148505807277e-06, + "loss": 0.9122, + "step": 7068 + }, + { + "epoch": 0.21, + "learning_rate": 9.194889628174074e-06, + "loss": 0.9768, + "step": 7069 + }, + { + "epoch": 0.21, + "learning_rate": 9.194630712559435e-06, + "loss": 1.1805, + "step": 7070 + }, + { + "epoch": 0.21, + "learning_rate": 9.194371758965707e-06, + "loss": 0.8327, + "step": 7071 + }, + { + "epoch": 0.21, + "learning_rate": 9.194112767395232e-06, + "loss": 0.6776, + "step": 7072 + }, + { + "epoch": 0.21, + "learning_rate": 9.193853737850356e-06, + "loss": 0.8643, + "step": 7073 + }, + { + "epoch": 0.21, + "learning_rate": 9.193594670333421e-06, + "loss": 0.7666, + "step": 7074 + }, + { + "epoch": 0.21, + "learning_rate": 9.19333556484678e-06, + "loss": 0.8421, + "step": 7075 + }, + { + "epoch": 0.21, + "learning_rate": 9.19307642139277e-06, + "loss": 0.7333, + "step": 7076 + }, + { + "epoch": 0.21, + "learning_rate": 9.192817239973746e-06, + "loss": 0.642, + "step": 7077 + }, + { + "epoch": 0.21, + "learning_rate": 9.192558020592048e-06, + "loss": 0.8351, + "step": 7078 + }, + { + "epoch": 0.21, + "learning_rate": 9.192298763250026e-06, + "loss": 0.645, + "step": 7079 + }, + { + "epoch": 0.21, + "learning_rate": 9.192039467950027e-06, + "loss": 0.7854, + "step": 7080 + }, + { + "epoch": 0.21, + "learning_rate": 9.1917801346944e-06, + "loss": 0.9035, + "step": 7081 + }, + { + "epoch": 0.21, + "learning_rate": 9.191520763485491e-06, + "loss": 0.6538, + "step": 7082 + }, + { + "epoch": 0.21, + "learning_rate": 9.191261354325648e-06, + "loss": 0.8973, + "step": 7083 + }, + { + "epoch": 0.21, + "learning_rate": 9.191001907217222e-06, + "loss": 0.6197, + "step": 7084 + }, + { + "epoch": 0.21, + "learning_rate": 9.190742422162562e-06, + "loss": 0.5635, + "step": 7085 + }, + { + "epoch": 0.21, + "learning_rate": 9.190482899164015e-06, + "loss": 0.9105, + "step": 7086 + }, + { + "epoch": 0.21, + "learning_rate": 9.190223338223932e-06, + "loss": 0.6576, + "step": 7087 + }, + { + "epoch": 0.21, + "learning_rate": 9.189963739344665e-06, + "loss": 0.8555, + "step": 7088 + }, + { + "epoch": 0.21, + "learning_rate": 9.18970410252856e-06, + "loss": 0.7522, + "step": 7089 + }, + { + "epoch": 0.21, + "learning_rate": 9.189444427777973e-06, + "loss": 0.711, + "step": 7090 + }, + { + "epoch": 0.21, + "learning_rate": 9.189184715095251e-06, + "loss": 0.9867, + "step": 7091 + }, + { + "epoch": 0.21, + "learning_rate": 9.188924964482751e-06, + "loss": 0.9122, + "step": 7092 + }, + { + "epoch": 0.21, + "learning_rate": 9.188665175942817e-06, + "loss": 0.8108, + "step": 7093 + }, + { + "epoch": 0.21, + "learning_rate": 9.188405349477807e-06, + "loss": 0.6235, + "step": 7094 + }, + { + "epoch": 0.21, + "learning_rate": 9.188145485090073e-06, + "loss": 0.9213, + "step": 7095 + }, + { + "epoch": 0.21, + "learning_rate": 9.187885582781964e-06, + "loss": 0.4875, + "step": 7096 + }, + { + "epoch": 0.21, + "learning_rate": 9.187625642555838e-06, + "loss": 0.8524, + "step": 7097 + }, + { + "epoch": 0.21, + "learning_rate": 9.187365664414045e-06, + "loss": 0.6247, + "step": 7098 + }, + { + "epoch": 0.21, + "learning_rate": 9.187105648358941e-06, + "loss": 0.9038, + "step": 7099 + }, + { + "epoch": 0.21, + "learning_rate": 9.186845594392878e-06, + "loss": 0.8188, + "step": 7100 + }, + { + "epoch": 0.21, + "learning_rate": 9.186585502518215e-06, + "loss": 0.7125, + "step": 7101 + }, + { + "epoch": 0.21, + "learning_rate": 9.186325372737303e-06, + "loss": 0.9007, + "step": 7102 + }, + { + "epoch": 0.21, + "learning_rate": 9.186065205052498e-06, + "loss": 0.7055, + "step": 7103 + }, + { + "epoch": 0.21, + "learning_rate": 9.185804999466157e-06, + "loss": 0.6811, + "step": 7104 + }, + { + "epoch": 0.21, + "learning_rate": 9.185544755980633e-06, + "loss": 0.9373, + "step": 7105 + }, + { + "epoch": 0.21, + "learning_rate": 9.185284474598286e-06, + "loss": 0.9069, + "step": 7106 + }, + { + "epoch": 0.21, + "learning_rate": 9.18502415532147e-06, + "loss": 1.1252, + "step": 7107 + }, + { + "epoch": 0.21, + "learning_rate": 9.184763798152542e-06, + "loss": 0.8677, + "step": 7108 + }, + { + "epoch": 0.21, + "learning_rate": 9.184503403093864e-06, + "loss": 0.627, + "step": 7109 + }, + { + "epoch": 0.21, + "learning_rate": 9.184242970147786e-06, + "loss": 0.7838, + "step": 7110 + }, + { + "epoch": 0.21, + "learning_rate": 9.18398249931667e-06, + "loss": 0.6338, + "step": 7111 + }, + { + "epoch": 0.21, + "learning_rate": 9.183721990602876e-06, + "loss": 1.0082, + "step": 7112 + }, + { + "epoch": 0.21, + "learning_rate": 9.183461444008761e-06, + "loss": 0.8709, + "step": 7113 + }, + { + "epoch": 0.21, + "learning_rate": 9.183200859536682e-06, + "loss": 0.4751, + "step": 7114 + }, + { + "epoch": 0.21, + "learning_rate": 9.182940237189003e-06, + "loss": 0.868, + "step": 7115 + }, + { + "epoch": 0.21, + "learning_rate": 9.182679576968078e-06, + "loss": 0.9166, + "step": 7116 + }, + { + "epoch": 0.21, + "learning_rate": 9.182418878876273e-06, + "loss": 0.6213, + "step": 7117 + }, + { + "epoch": 0.21, + "learning_rate": 9.182158142915944e-06, + "loss": 0.7145, + "step": 7118 + }, + { + "epoch": 0.21, + "learning_rate": 9.181897369089455e-06, + "loss": 0.6995, + "step": 7119 + }, + { + "epoch": 0.21, + "learning_rate": 9.181636557399164e-06, + "loss": 0.8627, + "step": 7120 + }, + { + "epoch": 0.21, + "learning_rate": 9.181375707847434e-06, + "loss": 0.6812, + "step": 7121 + }, + { + "epoch": 0.21, + "learning_rate": 9.181114820436627e-06, + "loss": 0.792, + "step": 7122 + }, + { + "epoch": 0.21, + "learning_rate": 9.180853895169105e-06, + "loss": 0.8213, + "step": 7123 + }, + { + "epoch": 0.21, + "learning_rate": 9.18059293204723e-06, + "loss": 0.9722, + "step": 7124 + }, + { + "epoch": 0.21, + "learning_rate": 9.180331931073365e-06, + "loss": 1.0974, + "step": 7125 + }, + { + "epoch": 0.21, + "learning_rate": 9.180070892249875e-06, + "loss": 0.8356, + "step": 7126 + }, + { + "epoch": 0.21, + "learning_rate": 9.17980981557912e-06, + "loss": 0.6107, + "step": 7127 + }, + { + "epoch": 0.21, + "learning_rate": 9.179548701063465e-06, + "loss": 0.901, + "step": 7128 + }, + { + "epoch": 0.21, + "learning_rate": 9.179287548705277e-06, + "loss": 0.8842, + "step": 7129 + }, + { + "epoch": 0.21, + "learning_rate": 9.179026358506916e-06, + "loss": 0.7817, + "step": 7130 + }, + { + "epoch": 0.21, + "learning_rate": 9.17876513047075e-06, + "loss": 0.8321, + "step": 7131 + }, + { + "epoch": 0.21, + "learning_rate": 9.178503864599144e-06, + "loss": 1.0238, + "step": 7132 + }, + { + "epoch": 0.21, + "learning_rate": 9.178242560894463e-06, + "loss": 0.8597, + "step": 7133 + }, + { + "epoch": 0.21, + "learning_rate": 9.177981219359072e-06, + "loss": 0.6975, + "step": 7134 + }, + { + "epoch": 0.21, + "learning_rate": 9.177719839995339e-06, + "loss": 0.7264, + "step": 7135 + }, + { + "epoch": 0.21, + "learning_rate": 9.17745842280563e-06, + "loss": 0.7147, + "step": 7136 + }, + { + "epoch": 0.21, + "learning_rate": 9.17719696779231e-06, + "loss": 0.7538, + "step": 7137 + }, + { + "epoch": 0.21, + "learning_rate": 9.17693547495775e-06, + "loss": 0.4609, + "step": 7138 + }, + { + "epoch": 0.21, + "learning_rate": 9.176673944304314e-06, + "loss": 0.7767, + "step": 7139 + }, + { + "epoch": 0.21, + "learning_rate": 9.176412375834372e-06, + "loss": 0.9297, + "step": 7140 + }, + { + "epoch": 0.21, + "learning_rate": 9.176150769550292e-06, + "loss": 0.6617, + "step": 7141 + }, + { + "epoch": 0.21, + "learning_rate": 9.175889125454442e-06, + "loss": 0.5798, + "step": 7142 + }, + { + "epoch": 0.21, + "learning_rate": 9.17562744354919e-06, + "loss": 0.985, + "step": 7143 + }, + { + "epoch": 0.21, + "learning_rate": 9.17536572383691e-06, + "loss": 0.9807, + "step": 7144 + }, + { + "epoch": 0.21, + "learning_rate": 9.175103966319967e-06, + "loss": 1.2256, + "step": 7145 + }, + { + "epoch": 0.21, + "learning_rate": 9.174842171000731e-06, + "loss": 0.87, + "step": 7146 + }, + { + "epoch": 0.21, + "learning_rate": 9.174580337881575e-06, + "loss": 0.5191, + "step": 7147 + }, + { + "epoch": 0.21, + "learning_rate": 9.174318466964868e-06, + "loss": 0.7819, + "step": 7148 + }, + { + "epoch": 0.21, + "learning_rate": 9.174056558252983e-06, + "loss": 0.7111, + "step": 7149 + }, + { + "epoch": 0.21, + "learning_rate": 9.173794611748288e-06, + "loss": 0.713, + "step": 7150 + }, + { + "epoch": 0.21, + "learning_rate": 9.17353262745316e-06, + "loss": 0.9648, + "step": 7151 + }, + { + "epoch": 0.21, + "learning_rate": 9.173270605369964e-06, + "loss": 0.8267, + "step": 7152 + }, + { + "epoch": 0.21, + "learning_rate": 9.173008545501077e-06, + "loss": 0.7405, + "step": 7153 + }, + { + "epoch": 0.21, + "learning_rate": 9.172746447848871e-06, + "loss": 0.8315, + "step": 7154 + }, + { + "epoch": 0.21, + "learning_rate": 9.172484312415718e-06, + "loss": 0.833, + "step": 7155 + }, + { + "epoch": 0.21, + "learning_rate": 9.172222139203992e-06, + "loss": 0.6908, + "step": 7156 + }, + { + "epoch": 0.21, + "learning_rate": 9.171959928216067e-06, + "loss": 0.7812, + "step": 7157 + }, + { + "epoch": 0.21, + "learning_rate": 9.171697679454318e-06, + "loss": 0.6385, + "step": 7158 + }, + { + "epoch": 0.21, + "learning_rate": 9.171435392921119e-06, + "loss": 0.7537, + "step": 7159 + }, + { + "epoch": 0.21, + "learning_rate": 9.171173068618846e-06, + "loss": 0.9715, + "step": 7160 + }, + { + "epoch": 0.21, + "learning_rate": 9.170910706549871e-06, + "loss": 0.6721, + "step": 7161 + }, + { + "epoch": 0.21, + "learning_rate": 9.170648306716569e-06, + "loss": 0.7531, + "step": 7162 + }, + { + "epoch": 0.21, + "learning_rate": 9.17038586912132e-06, + "loss": 0.7892, + "step": 7163 + }, + { + "epoch": 0.21, + "learning_rate": 9.1701233937665e-06, + "loss": 0.6884, + "step": 7164 + }, + { + "epoch": 0.21, + "learning_rate": 9.169860880654479e-06, + "loss": 0.8356, + "step": 7165 + }, + { + "epoch": 0.21, + "learning_rate": 9.169598329787642e-06, + "loss": 0.8858, + "step": 7166 + }, + { + "epoch": 0.21, + "learning_rate": 9.169335741168362e-06, + "loss": 0.6208, + "step": 7167 + }, + { + "epoch": 0.21, + "learning_rate": 9.169073114799017e-06, + "loss": 0.6133, + "step": 7168 + }, + { + "epoch": 0.21, + "learning_rate": 9.168810450681984e-06, + "loss": 0.7803, + "step": 7169 + }, + { + "epoch": 0.21, + "learning_rate": 9.168547748819644e-06, + "loss": 0.4958, + "step": 7170 + }, + { + "epoch": 0.21, + "learning_rate": 9.168285009214372e-06, + "loss": 0.8271, + "step": 7171 + }, + { + "epoch": 0.21, + "learning_rate": 9.16802223186855e-06, + "loss": 0.9691, + "step": 7172 + }, + { + "epoch": 0.21, + "learning_rate": 9.167759416784556e-06, + "loss": 0.637, + "step": 7173 + }, + { + "epoch": 0.21, + "learning_rate": 9.167496563964769e-06, + "loss": 0.6543, + "step": 7174 + }, + { + "epoch": 0.21, + "learning_rate": 9.167233673411569e-06, + "loss": 0.6466, + "step": 7175 + }, + { + "epoch": 0.21, + "learning_rate": 9.166970745127337e-06, + "loss": 0.6071, + "step": 7176 + }, + { + "epoch": 0.21, + "learning_rate": 9.166707779114455e-06, + "loss": 0.8822, + "step": 7177 + }, + { + "epoch": 0.21, + "learning_rate": 9.1664447753753e-06, + "loss": 0.8072, + "step": 7178 + }, + { + "epoch": 0.21, + "learning_rate": 9.166181733912256e-06, + "loss": 0.807, + "step": 7179 + }, + { + "epoch": 0.21, + "learning_rate": 9.165918654727705e-06, + "loss": 0.8902, + "step": 7180 + }, + { + "epoch": 0.21, + "learning_rate": 9.165655537824027e-06, + "loss": 0.7063, + "step": 7181 + }, + { + "epoch": 0.21, + "learning_rate": 9.165392383203606e-06, + "loss": 0.4772, + "step": 7182 + }, + { + "epoch": 0.21, + "learning_rate": 9.165129190868824e-06, + "loss": 0.8611, + "step": 7183 + }, + { + "epoch": 0.21, + "learning_rate": 9.164865960822066e-06, + "loss": 0.8382, + "step": 7184 + }, + { + "epoch": 0.21, + "learning_rate": 9.164602693065711e-06, + "loss": 0.6613, + "step": 7185 + }, + { + "epoch": 0.21, + "learning_rate": 9.164339387602148e-06, + "loss": 0.7672, + "step": 7186 + }, + { + "epoch": 0.21, + "learning_rate": 9.164076044433756e-06, + "loss": 0.6696, + "step": 7187 + }, + { + "epoch": 0.21, + "learning_rate": 9.163812663562922e-06, + "loss": 0.7664, + "step": 7188 + }, + { + "epoch": 0.21, + "learning_rate": 9.16354924499203e-06, + "loss": 0.7319, + "step": 7189 + }, + { + "epoch": 0.21, + "learning_rate": 9.163285788723467e-06, + "loss": 0.5552, + "step": 7190 + }, + { + "epoch": 0.21, + "learning_rate": 9.163022294759614e-06, + "loss": 0.6935, + "step": 7191 + }, + { + "epoch": 0.21, + "learning_rate": 9.162758763102861e-06, + "loss": 0.9909, + "step": 7192 + }, + { + "epoch": 0.21, + "learning_rate": 9.162495193755594e-06, + "loss": 0.6184, + "step": 7193 + }, + { + "epoch": 0.21, + "learning_rate": 9.162231586720197e-06, + "loss": 0.931, + "step": 7194 + }, + { + "epoch": 0.21, + "learning_rate": 9.161967941999055e-06, + "loss": 1.0633, + "step": 7195 + }, + { + "epoch": 0.21, + "learning_rate": 9.161704259594561e-06, + "loss": 0.721, + "step": 7196 + }, + { + "epoch": 0.21, + "learning_rate": 9.161440539509097e-06, + "loss": 0.7403, + "step": 7197 + }, + { + "epoch": 0.21, + "learning_rate": 9.161176781745056e-06, + "loss": 0.7454, + "step": 7198 + }, + { + "epoch": 0.21, + "learning_rate": 9.16091298630482e-06, + "loss": 0.6485, + "step": 7199 + }, + { + "epoch": 0.21, + "learning_rate": 9.160649153190783e-06, + "loss": 0.8525, + "step": 7200 + }, + { + "epoch": 0.21, + "learning_rate": 9.16038528240533e-06, + "loss": 0.7875, + "step": 7201 + }, + { + "epoch": 0.21, + "learning_rate": 9.160121373950851e-06, + "loss": 0.6324, + "step": 7202 + }, + { + "epoch": 0.21, + "learning_rate": 9.159857427829737e-06, + "loss": 0.5295, + "step": 7203 + }, + { + "epoch": 0.21, + "learning_rate": 9.159593444044377e-06, + "loss": 0.7886, + "step": 7204 + }, + { + "epoch": 0.21, + "learning_rate": 9.159329422597162e-06, + "loss": 0.711, + "step": 7205 + }, + { + "epoch": 0.21, + "learning_rate": 9.159065363490479e-06, + "loss": 1.1885, + "step": 7206 + }, + { + "epoch": 0.21, + "learning_rate": 9.158801266726722e-06, + "loss": 0.8832, + "step": 7207 + }, + { + "epoch": 0.21, + "learning_rate": 9.158537132308283e-06, + "loss": 0.6034, + "step": 7208 + }, + { + "epoch": 0.21, + "learning_rate": 9.15827296023755e-06, + "loss": 0.8523, + "step": 7209 + }, + { + "epoch": 0.21, + "learning_rate": 9.15800875051692e-06, + "loss": 0.7283, + "step": 7210 + }, + { + "epoch": 0.21, + "learning_rate": 9.15774450314878e-06, + "loss": 0.7371, + "step": 7211 + }, + { + "epoch": 0.21, + "learning_rate": 9.157480218135524e-06, + "loss": 0.576, + "step": 7212 + }, + { + "epoch": 0.21, + "learning_rate": 9.157215895479548e-06, + "loss": 0.8827, + "step": 7213 + }, + { + "epoch": 0.21, + "learning_rate": 9.156951535183241e-06, + "loss": 0.8569, + "step": 7214 + }, + { + "epoch": 0.21, + "learning_rate": 9.156687137248998e-06, + "loss": 0.9, + "step": 7215 + }, + { + "epoch": 0.21, + "learning_rate": 9.156422701679215e-06, + "loss": 0.716, + "step": 7216 + }, + { + "epoch": 0.21, + "learning_rate": 9.156158228476284e-06, + "loss": 0.7754, + "step": 7217 + }, + { + "epoch": 0.21, + "learning_rate": 9.1558937176426e-06, + "loss": 0.6208, + "step": 7218 + }, + { + "epoch": 0.21, + "learning_rate": 9.155629169180559e-06, + "loss": 0.6285, + "step": 7219 + }, + { + "epoch": 0.21, + "learning_rate": 9.155364583092555e-06, + "loss": 0.7787, + "step": 7220 + }, + { + "epoch": 0.21, + "learning_rate": 9.155099959380984e-06, + "loss": 0.8452, + "step": 7221 + }, + { + "epoch": 0.21, + "learning_rate": 9.154835298048241e-06, + "loss": 1.0532, + "step": 7222 + }, + { + "epoch": 0.21, + "learning_rate": 9.154570599096724e-06, + "loss": 0.9203, + "step": 7223 + }, + { + "epoch": 0.21, + "learning_rate": 9.154305862528829e-06, + "loss": 0.544, + "step": 7224 + }, + { + "epoch": 0.21, + "learning_rate": 9.154041088346952e-06, + "loss": 0.767, + "step": 7225 + }, + { + "epoch": 0.21, + "learning_rate": 9.153776276553494e-06, + "loss": 1.0064, + "step": 7226 + }, + { + "epoch": 0.21, + "learning_rate": 9.153511427150848e-06, + "loss": 0.5605, + "step": 7227 + }, + { + "epoch": 0.21, + "learning_rate": 9.153246540141413e-06, + "loss": 0.7125, + "step": 7228 + }, + { + "epoch": 0.21, + "learning_rate": 9.152981615527589e-06, + "loss": 0.8275, + "step": 7229 + }, + { + "epoch": 0.21, + "learning_rate": 9.152716653311776e-06, + "loss": 0.9223, + "step": 7230 + }, + { + "epoch": 0.21, + "learning_rate": 9.152451653496366e-06, + "loss": 0.8189, + "step": 7231 + }, + { + "epoch": 0.21, + "learning_rate": 9.152186616083766e-06, + "loss": 0.6671, + "step": 7232 + }, + { + "epoch": 0.21, + "learning_rate": 9.151921541076375e-06, + "loss": 0.9337, + "step": 7233 + }, + { + "epoch": 0.21, + "learning_rate": 9.151656428476589e-06, + "loss": 0.9001, + "step": 7234 + }, + { + "epoch": 0.21, + "learning_rate": 9.151391278286812e-06, + "loss": 0.8355, + "step": 7235 + }, + { + "epoch": 0.21, + "learning_rate": 9.151126090509442e-06, + "loss": 0.6632, + "step": 7236 + }, + { + "epoch": 0.21, + "learning_rate": 9.15086086514688e-06, + "loss": 0.7553, + "step": 7237 + }, + { + "epoch": 0.21, + "learning_rate": 9.150595602201531e-06, + "loss": 0.8698, + "step": 7238 + }, + { + "epoch": 0.21, + "learning_rate": 9.150330301675793e-06, + "loss": 0.5356, + "step": 7239 + }, + { + "epoch": 0.21, + "learning_rate": 9.15006496357207e-06, + "loss": 0.7951, + "step": 7240 + }, + { + "epoch": 0.21, + "learning_rate": 9.149799587892765e-06, + "loss": 1.3246, + "step": 7241 + }, + { + "epoch": 0.21, + "learning_rate": 9.149534174640278e-06, + "loss": 0.7892, + "step": 7242 + }, + { + "epoch": 0.21, + "learning_rate": 9.149268723817014e-06, + "loss": 0.7816, + "step": 7243 + }, + { + "epoch": 0.21, + "learning_rate": 9.149003235425377e-06, + "loss": 0.6478, + "step": 7244 + }, + { + "epoch": 0.21, + "learning_rate": 9.14873770946777e-06, + "loss": 0.7546, + "step": 7245 + }, + { + "epoch": 0.21, + "learning_rate": 9.148472145946596e-06, + "loss": 0.7007, + "step": 7246 + }, + { + "epoch": 0.21, + "learning_rate": 9.148206544864262e-06, + "loss": 0.9015, + "step": 7247 + }, + { + "epoch": 0.21, + "learning_rate": 9.147940906223171e-06, + "loss": 0.7029, + "step": 7248 + }, + { + "epoch": 0.21, + "learning_rate": 9.14767523002573e-06, + "loss": 0.7073, + "step": 7249 + }, + { + "epoch": 0.21, + "learning_rate": 9.14740951627434e-06, + "loss": 0.7806, + "step": 7250 + }, + { + "epoch": 0.21, + "learning_rate": 9.147143764971411e-06, + "loss": 0.7224, + "step": 7251 + }, + { + "epoch": 0.21, + "learning_rate": 9.14687797611935e-06, + "loss": 0.9175, + "step": 7252 + }, + { + "epoch": 0.21, + "learning_rate": 9.146612149720559e-06, + "loss": 0.6938, + "step": 7253 + }, + { + "epoch": 0.21, + "learning_rate": 9.14634628577745e-06, + "loss": 0.6526, + "step": 7254 + }, + { + "epoch": 0.21, + "learning_rate": 9.146080384292427e-06, + "loss": 0.5737, + "step": 7255 + }, + { + "epoch": 0.21, + "learning_rate": 9.145814445267897e-06, + "loss": 0.786, + "step": 7256 + }, + { + "epoch": 0.21, + "learning_rate": 9.14554846870627e-06, + "loss": 0.7458, + "step": 7257 + }, + { + "epoch": 0.21, + "learning_rate": 9.145282454609951e-06, + "loss": 1.0099, + "step": 7258 + }, + { + "epoch": 0.21, + "learning_rate": 9.145016402981354e-06, + "loss": 0.9276, + "step": 7259 + }, + { + "epoch": 0.21, + "learning_rate": 9.144750313822884e-06, + "loss": 0.7732, + "step": 7260 + }, + { + "epoch": 0.21, + "learning_rate": 9.144484187136949e-06, + "loss": 0.6878, + "step": 7261 + }, + { + "epoch": 0.21, + "learning_rate": 9.144218022925962e-06, + "loss": 0.7963, + "step": 7262 + }, + { + "epoch": 0.21, + "learning_rate": 9.143951821192332e-06, + "loss": 0.9089, + "step": 7263 + }, + { + "epoch": 0.21, + "learning_rate": 9.143685581938466e-06, + "loss": 0.7896, + "step": 7264 + }, + { + "epoch": 0.21, + "learning_rate": 9.14341930516678e-06, + "loss": 0.8181, + "step": 7265 + }, + { + "epoch": 0.21, + "learning_rate": 9.14315299087968e-06, + "loss": 0.7334, + "step": 7266 + }, + { + "epoch": 0.21, + "learning_rate": 9.142886639079581e-06, + "loss": 0.8262, + "step": 7267 + }, + { + "epoch": 0.21, + "learning_rate": 9.142620249768894e-06, + "loss": 0.7228, + "step": 7268 + }, + { + "epoch": 0.21, + "learning_rate": 9.142353822950027e-06, + "loss": 0.7286, + "step": 7269 + }, + { + "epoch": 0.21, + "learning_rate": 9.142087358625398e-06, + "loss": 0.8468, + "step": 7270 + }, + { + "epoch": 0.21, + "learning_rate": 9.141820856797415e-06, + "loss": 0.6232, + "step": 7271 + }, + { + "epoch": 0.21, + "learning_rate": 9.141554317468494e-06, + "loss": 0.8081, + "step": 7272 + }, + { + "epoch": 0.21, + "learning_rate": 9.141287740641046e-06, + "loss": 0.6973, + "step": 7273 + }, + { + "epoch": 0.21, + "learning_rate": 9.141021126317487e-06, + "loss": 0.7538, + "step": 7274 + }, + { + "epoch": 0.21, + "learning_rate": 9.140754474500228e-06, + "loss": 0.8315, + "step": 7275 + }, + { + "epoch": 0.21, + "learning_rate": 9.140487785191688e-06, + "loss": 0.9432, + "step": 7276 + }, + { + "epoch": 0.21, + "learning_rate": 9.140221058394277e-06, + "loss": 0.8896, + "step": 7277 + }, + { + "epoch": 0.21, + "learning_rate": 9.139954294110412e-06, + "loss": 0.5919, + "step": 7278 + }, + { + "epoch": 0.21, + "learning_rate": 9.139687492342508e-06, + "loss": 0.7244, + "step": 7279 + }, + { + "epoch": 0.21, + "learning_rate": 9.139420653092981e-06, + "loss": 0.5001, + "step": 7280 + }, + { + "epoch": 0.21, + "learning_rate": 9.139153776364247e-06, + "loss": 0.9092, + "step": 7281 + }, + { + "epoch": 0.21, + "learning_rate": 9.138886862158721e-06, + "loss": 0.6174, + "step": 7282 + }, + { + "epoch": 0.21, + "learning_rate": 9.138619910478821e-06, + "loss": 0.5048, + "step": 7283 + }, + { + "epoch": 0.21, + "learning_rate": 9.138352921326965e-06, + "loss": 0.8137, + "step": 7284 + }, + { + "epoch": 0.21, + "learning_rate": 9.13808589470557e-06, + "loss": 0.6991, + "step": 7285 + }, + { + "epoch": 0.21, + "learning_rate": 9.13781883061705e-06, + "loss": 0.6374, + "step": 7286 + }, + { + "epoch": 0.21, + "learning_rate": 9.137551729063829e-06, + "loss": 0.9313, + "step": 7287 + }, + { + "epoch": 0.21, + "learning_rate": 9.13728459004832e-06, + "loss": 0.8389, + "step": 7288 + }, + { + "epoch": 0.21, + "learning_rate": 9.137017413572948e-06, + "loss": 0.6487, + "step": 7289 + }, + { + "epoch": 0.21, + "learning_rate": 9.136750199640125e-06, + "loss": 0.8206, + "step": 7290 + }, + { + "epoch": 0.21, + "learning_rate": 9.136482948252274e-06, + "loss": 0.7961, + "step": 7291 + }, + { + "epoch": 0.21, + "learning_rate": 9.136215659411816e-06, + "loss": 0.8673, + "step": 7292 + }, + { + "epoch": 0.21, + "learning_rate": 9.135948333121168e-06, + "loss": 0.836, + "step": 7293 + }, + { + "epoch": 0.21, + "learning_rate": 9.135680969382752e-06, + "loss": 0.8216, + "step": 7294 + }, + { + "epoch": 0.21, + "learning_rate": 9.135413568198989e-06, + "loss": 0.7541, + "step": 7295 + }, + { + "epoch": 0.21, + "learning_rate": 9.135146129572301e-06, + "loss": 0.747, + "step": 7296 + }, + { + "epoch": 0.21, + "learning_rate": 9.134878653505105e-06, + "loss": 0.8898, + "step": 7297 + }, + { + "epoch": 0.21, + "learning_rate": 9.134611139999829e-06, + "loss": 0.5988, + "step": 7298 + }, + { + "epoch": 0.21, + "learning_rate": 9.134343589058891e-06, + "loss": 1.1903, + "step": 7299 + }, + { + "epoch": 0.21, + "learning_rate": 9.134076000684717e-06, + "loss": 0.9621, + "step": 7300 + }, + { + "epoch": 0.21, + "learning_rate": 9.133808374879724e-06, + "loss": 0.9684, + "step": 7301 + }, + { + "epoch": 0.21, + "learning_rate": 9.133540711646341e-06, + "loss": 0.8007, + "step": 7302 + }, + { + "epoch": 0.21, + "learning_rate": 9.133273010986989e-06, + "loss": 0.745, + "step": 7303 + }, + { + "epoch": 0.21, + "learning_rate": 9.13300527290409e-06, + "loss": 0.8269, + "step": 7304 + }, + { + "epoch": 0.21, + "learning_rate": 9.132737497400072e-06, + "loss": 0.8862, + "step": 7305 + }, + { + "epoch": 0.21, + "learning_rate": 9.132469684477356e-06, + "loss": 0.5247, + "step": 7306 + }, + { + "epoch": 0.21, + "learning_rate": 9.13220183413837e-06, + "loss": 0.6264, + "step": 7307 + }, + { + "epoch": 0.21, + "learning_rate": 9.131933946385536e-06, + "loss": 0.7854, + "step": 7308 + }, + { + "epoch": 0.21, + "learning_rate": 9.131666021221282e-06, + "loss": 0.5496, + "step": 7309 + }, + { + "epoch": 0.21, + "learning_rate": 9.131398058648033e-06, + "loss": 0.7559, + "step": 7310 + }, + { + "epoch": 0.21, + "learning_rate": 9.131130058668214e-06, + "loss": 0.7909, + "step": 7311 + }, + { + "epoch": 0.21, + "learning_rate": 9.130862021284254e-06, + "loss": 0.8563, + "step": 7312 + }, + { + "epoch": 0.21, + "learning_rate": 9.130593946498577e-06, + "loss": 0.8702, + "step": 7313 + }, + { + "epoch": 0.21, + "learning_rate": 9.130325834313614e-06, + "loss": 0.5202, + "step": 7314 + }, + { + "epoch": 0.21, + "learning_rate": 9.130057684731788e-06, + "loss": 0.8467, + "step": 7315 + }, + { + "epoch": 0.21, + "learning_rate": 9.12978949775553e-06, + "loss": 0.9531, + "step": 7316 + }, + { + "epoch": 0.21, + "learning_rate": 9.129521273387267e-06, + "loss": 0.9396, + "step": 7317 + }, + { + "epoch": 0.21, + "learning_rate": 9.12925301162943e-06, + "loss": 0.7139, + "step": 7318 + }, + { + "epoch": 0.22, + "learning_rate": 9.128984712484443e-06, + "loss": 0.8948, + "step": 7319 + }, + { + "epoch": 0.22, + "learning_rate": 9.128716375954738e-06, + "loss": 0.7871, + "step": 7320 + }, + { + "epoch": 0.22, + "learning_rate": 9.128448002042747e-06, + "loss": 0.7385, + "step": 7321 + }, + { + "epoch": 0.22, + "learning_rate": 9.128179590750896e-06, + "loss": 0.7783, + "step": 7322 + }, + { + "epoch": 0.22, + "learning_rate": 9.127911142081618e-06, + "loss": 0.7739, + "step": 7323 + }, + { + "epoch": 0.22, + "learning_rate": 9.127642656037342e-06, + "loss": 0.7192, + "step": 7324 + }, + { + "epoch": 0.22, + "learning_rate": 9.127374132620498e-06, + "loss": 0.7578, + "step": 7325 + }, + { + "epoch": 0.22, + "learning_rate": 9.12710557183352e-06, + "loss": 0.8012, + "step": 7326 + }, + { + "epoch": 0.22, + "learning_rate": 9.126836973678837e-06, + "loss": 0.7503, + "step": 7327 + }, + { + "epoch": 0.22, + "learning_rate": 9.126568338158884e-06, + "loss": 0.9341, + "step": 7328 + }, + { + "epoch": 0.22, + "learning_rate": 9.126299665276089e-06, + "loss": 0.7449, + "step": 7329 + }, + { + "epoch": 0.22, + "learning_rate": 9.12603095503289e-06, + "loss": 0.7116, + "step": 7330 + }, + { + "epoch": 0.22, + "learning_rate": 9.125762207431714e-06, + "loss": 0.7435, + "step": 7331 + }, + { + "epoch": 0.22, + "learning_rate": 9.125493422475e-06, + "loss": 0.473, + "step": 7332 + }, + { + "epoch": 0.22, + "learning_rate": 9.125224600165177e-06, + "loss": 0.8732, + "step": 7333 + }, + { + "epoch": 0.22, + "learning_rate": 9.124955740504682e-06, + "loss": 0.8472, + "step": 7334 + }, + { + "epoch": 0.22, + "learning_rate": 9.124686843495949e-06, + "loss": 0.699, + "step": 7335 + }, + { + "epoch": 0.22, + "learning_rate": 9.12441790914141e-06, + "loss": 0.643, + "step": 7336 + }, + { + "epoch": 0.22, + "learning_rate": 9.124148937443502e-06, + "loss": 0.6852, + "step": 7337 + }, + { + "epoch": 0.22, + "learning_rate": 9.123879928404662e-06, + "loss": 0.6899, + "step": 7338 + }, + { + "epoch": 0.22, + "learning_rate": 9.123610882027323e-06, + "loss": 0.8778, + "step": 7339 + }, + { + "epoch": 0.22, + "learning_rate": 9.123341798313921e-06, + "loss": 0.9507, + "step": 7340 + }, + { + "epoch": 0.22, + "learning_rate": 9.123072677266895e-06, + "loss": 0.8545, + "step": 7341 + }, + { + "epoch": 0.22, + "learning_rate": 9.122803518888677e-06, + "loss": 0.6288, + "step": 7342 + }, + { + "epoch": 0.22, + "learning_rate": 9.12253432318171e-06, + "loss": 0.7187, + "step": 7343 + }, + { + "epoch": 0.22, + "learning_rate": 9.122265090148427e-06, + "loss": 0.8011, + "step": 7344 + }, + { + "epoch": 0.22, + "learning_rate": 9.121995819791268e-06, + "loss": 0.6755, + "step": 7345 + }, + { + "epoch": 0.22, + "learning_rate": 9.121726512112668e-06, + "loss": 0.8539, + "step": 7346 + }, + { + "epoch": 0.22, + "learning_rate": 9.121457167115069e-06, + "loss": 0.6515, + "step": 7347 + }, + { + "epoch": 0.22, + "learning_rate": 9.121187784800908e-06, + "loss": 0.7231, + "step": 7348 + }, + { + "epoch": 0.22, + "learning_rate": 9.120918365172623e-06, + "loss": 0.7387, + "step": 7349 + }, + { + "epoch": 0.22, + "learning_rate": 9.120648908232655e-06, + "loss": 0.6178, + "step": 7350 + }, + { + "epoch": 0.22, + "learning_rate": 9.120379413983444e-06, + "loss": 0.749, + "step": 7351 + }, + { + "epoch": 0.22, + "learning_rate": 9.120109882427427e-06, + "loss": 0.7965, + "step": 7352 + }, + { + "epoch": 0.22, + "learning_rate": 9.11984031356705e-06, + "loss": 0.7753, + "step": 7353 + }, + { + "epoch": 0.22, + "learning_rate": 9.119570707404748e-06, + "loss": 0.5944, + "step": 7354 + }, + { + "epoch": 0.22, + "learning_rate": 9.119301063942966e-06, + "loss": 0.9472, + "step": 7355 + }, + { + "epoch": 0.22, + "learning_rate": 9.119031383184143e-06, + "loss": 0.7018, + "step": 7356 + }, + { + "epoch": 0.22, + "learning_rate": 9.118761665130723e-06, + "loss": 0.7334, + "step": 7357 + }, + { + "epoch": 0.22, + "learning_rate": 9.118491909785144e-06, + "loss": 0.7816, + "step": 7358 + }, + { + "epoch": 0.22, + "learning_rate": 9.118222117149853e-06, + "loss": 1.0345, + "step": 7359 + }, + { + "epoch": 0.22, + "learning_rate": 9.117952287227292e-06, + "loss": 0.9563, + "step": 7360 + }, + { + "epoch": 0.22, + "learning_rate": 9.117682420019901e-06, + "loss": 0.7164, + "step": 7361 + }, + { + "epoch": 0.22, + "learning_rate": 9.117412515530126e-06, + "loss": 0.6977, + "step": 7362 + }, + { + "epoch": 0.22, + "learning_rate": 9.11714257376041e-06, + "loss": 0.6103, + "step": 7363 + }, + { + "epoch": 0.22, + "learning_rate": 9.116872594713199e-06, + "loss": 0.4744, + "step": 7364 + }, + { + "epoch": 0.22, + "learning_rate": 9.116602578390934e-06, + "loss": 0.6669, + "step": 7365 + }, + { + "epoch": 0.22, + "learning_rate": 9.116332524796063e-06, + "loss": 0.9611, + "step": 7366 + }, + { + "epoch": 0.22, + "learning_rate": 9.116062433931028e-06, + "loss": 1.0208, + "step": 7367 + }, + { + "epoch": 0.22, + "learning_rate": 9.115792305798277e-06, + "loss": 0.7596, + "step": 7368 + }, + { + "epoch": 0.22, + "learning_rate": 9.115522140400254e-06, + "loss": 0.5767, + "step": 7369 + }, + { + "epoch": 0.22, + "learning_rate": 9.115251937739408e-06, + "loss": 0.6347, + "step": 7370 + }, + { + "epoch": 0.22, + "learning_rate": 9.114981697818183e-06, + "loss": 0.858, + "step": 7371 + }, + { + "epoch": 0.22, + "learning_rate": 9.114711420639026e-06, + "loss": 0.7764, + "step": 7372 + }, + { + "epoch": 0.22, + "learning_rate": 9.114441106204385e-06, + "loss": 0.8256, + "step": 7373 + }, + { + "epoch": 0.22, + "learning_rate": 9.114170754516707e-06, + "loss": 0.6555, + "step": 7374 + }, + { + "epoch": 0.22, + "learning_rate": 9.113900365578438e-06, + "loss": 0.9551, + "step": 7375 + }, + { + "epoch": 0.22, + "learning_rate": 9.11362993939203e-06, + "loss": 0.9773, + "step": 7376 + }, + { + "epoch": 0.22, + "learning_rate": 9.11335947595993e-06, + "loss": 0.4677, + "step": 7377 + }, + { + "epoch": 0.22, + "learning_rate": 9.113088975284586e-06, + "loss": 0.7598, + "step": 7378 + }, + { + "epoch": 0.22, + "learning_rate": 9.112818437368445e-06, + "loss": 0.7538, + "step": 7379 + }, + { + "epoch": 0.22, + "learning_rate": 9.112547862213961e-06, + "loss": 0.7619, + "step": 7380 + }, + { + "epoch": 0.22, + "learning_rate": 9.112277249823582e-06, + "loss": 0.7602, + "step": 7381 + }, + { + "epoch": 0.22, + "learning_rate": 9.112006600199759e-06, + "loss": 0.8061, + "step": 7382 + }, + { + "epoch": 0.22, + "learning_rate": 9.11173591334494e-06, + "loss": 0.9412, + "step": 7383 + }, + { + "epoch": 0.22, + "learning_rate": 9.111465189261577e-06, + "loss": 0.843, + "step": 7384 + }, + { + "epoch": 0.22, + "learning_rate": 9.111194427952123e-06, + "loss": 0.6064, + "step": 7385 + }, + { + "epoch": 0.22, + "learning_rate": 9.110923629419027e-06, + "loss": 0.5807, + "step": 7386 + }, + { + "epoch": 0.22, + "learning_rate": 9.110652793664743e-06, + "loss": 0.6237, + "step": 7387 + }, + { + "epoch": 0.22, + "learning_rate": 9.110381920691722e-06, + "loss": 0.7597, + "step": 7388 + }, + { + "epoch": 0.22, + "learning_rate": 9.110111010502415e-06, + "loss": 0.7343, + "step": 7389 + }, + { + "epoch": 0.22, + "learning_rate": 9.109840063099277e-06, + "loss": 0.6191, + "step": 7390 + }, + { + "epoch": 0.22, + "learning_rate": 9.109569078484764e-06, + "loss": 0.7427, + "step": 7391 + }, + { + "epoch": 0.22, + "learning_rate": 9.109298056661324e-06, + "loss": 0.6382, + "step": 7392 + }, + { + "epoch": 0.22, + "learning_rate": 9.109026997631414e-06, + "loss": 0.8824, + "step": 7393 + }, + { + "epoch": 0.22, + "learning_rate": 9.108755901397485e-06, + "loss": 0.618, + "step": 7394 + }, + { + "epoch": 0.22, + "learning_rate": 9.108484767961999e-06, + "loss": 0.8163, + "step": 7395 + }, + { + "epoch": 0.22, + "learning_rate": 9.108213597327402e-06, + "loss": 0.8264, + "step": 7396 + }, + { + "epoch": 0.22, + "learning_rate": 9.107942389496154e-06, + "loss": 0.5968, + "step": 7397 + }, + { + "epoch": 0.22, + "learning_rate": 9.107671144470712e-06, + "loss": 0.5208, + "step": 7398 + }, + { + "epoch": 0.22, + "learning_rate": 9.107399862253527e-06, + "loss": 0.7805, + "step": 7399 + }, + { + "epoch": 0.22, + "learning_rate": 9.10712854284706e-06, + "loss": 0.7275, + "step": 7400 + }, + { + "epoch": 0.22, + "learning_rate": 9.106857186253763e-06, + "loss": 0.6475, + "step": 7401 + }, + { + "epoch": 0.22, + "learning_rate": 9.106585792476096e-06, + "loss": 0.9025, + "step": 7402 + }, + { + "epoch": 0.22, + "learning_rate": 9.106314361516518e-06, + "loss": 0.733, + "step": 7403 + }, + { + "epoch": 0.22, + "learning_rate": 9.106042893377483e-06, + "loss": 0.7912, + "step": 7404 + }, + { + "epoch": 0.22, + "learning_rate": 9.105771388061449e-06, + "loss": 0.8181, + "step": 7405 + }, + { + "epoch": 0.22, + "learning_rate": 9.105499845570877e-06, + "loss": 0.7278, + "step": 7406 + }, + { + "epoch": 0.22, + "learning_rate": 9.105228265908223e-06, + "loss": 0.5754, + "step": 7407 + }, + { + "epoch": 0.22, + "learning_rate": 9.104956649075948e-06, + "loss": 0.7797, + "step": 7408 + }, + { + "epoch": 0.22, + "learning_rate": 9.104684995076511e-06, + "loss": 0.8228, + "step": 7409 + }, + { + "epoch": 0.22, + "learning_rate": 9.10441330391237e-06, + "loss": 0.6736, + "step": 7410 + }, + { + "epoch": 0.22, + "learning_rate": 9.104141575585986e-06, + "loss": 0.5429, + "step": 7411 + }, + { + "epoch": 0.22, + "learning_rate": 9.103869810099818e-06, + "loss": 0.5928, + "step": 7412 + }, + { + "epoch": 0.22, + "learning_rate": 9.103598007456331e-06, + "loss": 0.6494, + "step": 7413 + }, + { + "epoch": 0.22, + "learning_rate": 9.10332616765798e-06, + "loss": 0.8311, + "step": 7414 + }, + { + "epoch": 0.22, + "learning_rate": 9.10305429070723e-06, + "loss": 0.6873, + "step": 7415 + }, + { + "epoch": 0.22, + "learning_rate": 9.102782376606543e-06, + "loss": 0.8985, + "step": 7416 + }, + { + "epoch": 0.22, + "learning_rate": 9.102510425358378e-06, + "loss": 0.7804, + "step": 7417 + }, + { + "epoch": 0.22, + "learning_rate": 9.102238436965198e-06, + "loss": 0.8724, + "step": 7418 + }, + { + "epoch": 0.22, + "learning_rate": 9.101966411429468e-06, + "loss": 0.8005, + "step": 7419 + }, + { + "epoch": 0.22, + "learning_rate": 9.101694348753649e-06, + "loss": 0.6536, + "step": 7420 + }, + { + "epoch": 0.22, + "learning_rate": 9.101422248940206e-06, + "loss": 0.7332, + "step": 7421 + }, + { + "epoch": 0.22, + "learning_rate": 9.101150111991601e-06, + "loss": 0.7849, + "step": 7422 + }, + { + "epoch": 0.22, + "learning_rate": 9.100877937910299e-06, + "loss": 0.7727, + "step": 7423 + }, + { + "epoch": 0.22, + "learning_rate": 9.100605726698764e-06, + "loss": 0.7537, + "step": 7424 + }, + { + "epoch": 0.22, + "learning_rate": 9.100333478359458e-06, + "loss": 0.5979, + "step": 7425 + }, + { + "epoch": 0.22, + "learning_rate": 9.100061192894852e-06, + "loss": 0.8163, + "step": 7426 + }, + { + "epoch": 0.22, + "learning_rate": 9.099788870307406e-06, + "loss": 0.9845, + "step": 7427 + }, + { + "epoch": 0.22, + "learning_rate": 9.099516510599586e-06, + "loss": 0.9159, + "step": 7428 + }, + { + "epoch": 0.22, + "learning_rate": 9.099244113773861e-06, + "loss": 0.8896, + "step": 7429 + }, + { + "epoch": 0.22, + "learning_rate": 9.098971679832699e-06, + "loss": 0.6918, + "step": 7430 + }, + { + "epoch": 0.22, + "learning_rate": 9.098699208778558e-06, + "loss": 0.6591, + "step": 7431 + }, + { + "epoch": 0.22, + "learning_rate": 9.098426700613914e-06, + "loss": 0.8244, + "step": 7432 + }, + { + "epoch": 0.22, + "learning_rate": 9.09815415534123e-06, + "loss": 0.6096, + "step": 7433 + }, + { + "epoch": 0.22, + "learning_rate": 9.097881572962975e-06, + "loss": 0.9416, + "step": 7434 + }, + { + "epoch": 0.22, + "learning_rate": 9.097608953481617e-06, + "loss": 0.8392, + "step": 7435 + }, + { + "epoch": 0.22, + "learning_rate": 9.097336296899622e-06, + "loss": 0.8582, + "step": 7436 + }, + { + "epoch": 0.22, + "learning_rate": 9.097063603219462e-06, + "loss": 0.7338, + "step": 7437 + }, + { + "epoch": 0.22, + "learning_rate": 9.096790872443605e-06, + "loss": 0.5998, + "step": 7438 + }, + { + "epoch": 0.22, + "learning_rate": 9.09651810457452e-06, + "loss": 0.6139, + "step": 7439 + }, + { + "epoch": 0.22, + "learning_rate": 9.096245299614677e-06, + "loss": 0.755, + "step": 7440 + }, + { + "epoch": 0.22, + "learning_rate": 9.095972457566545e-06, + "loss": 0.6323, + "step": 7441 + }, + { + "epoch": 0.22, + "learning_rate": 9.095699578432595e-06, + "loss": 0.9186, + "step": 7442 + }, + { + "epoch": 0.22, + "learning_rate": 9.095426662215297e-06, + "loss": 0.7904, + "step": 7443 + }, + { + "epoch": 0.22, + "learning_rate": 9.095153708917126e-06, + "loss": 0.6652, + "step": 7444 + }, + { + "epoch": 0.22, + "learning_rate": 9.094880718540548e-06, + "loss": 0.8823, + "step": 7445 + }, + { + "epoch": 0.22, + "learning_rate": 9.094607691088036e-06, + "loss": 0.8533, + "step": 7446 + }, + { + "epoch": 0.22, + "learning_rate": 9.094334626562065e-06, + "loss": 0.7474, + "step": 7447 + }, + { + "epoch": 0.22, + "learning_rate": 9.094061524965105e-06, + "loss": 0.6495, + "step": 7448 + }, + { + "epoch": 0.22, + "learning_rate": 9.093788386299628e-06, + "loss": 0.8425, + "step": 7449 + }, + { + "epoch": 0.22, + "learning_rate": 9.09351521056811e-06, + "loss": 0.8118, + "step": 7450 + }, + { + "epoch": 0.22, + "learning_rate": 9.093241997773021e-06, + "loss": 0.7062, + "step": 7451 + }, + { + "epoch": 0.22, + "learning_rate": 9.092968747916836e-06, + "loss": 0.7817, + "step": 7452 + }, + { + "epoch": 0.22, + "learning_rate": 9.092695461002032e-06, + "loss": 0.6649, + "step": 7453 + }, + { + "epoch": 0.22, + "learning_rate": 9.092422137031079e-06, + "loss": 0.6865, + "step": 7454 + }, + { + "epoch": 0.22, + "learning_rate": 9.092148776006453e-06, + "loss": 0.7847, + "step": 7455 + }, + { + "epoch": 0.22, + "learning_rate": 9.091875377930631e-06, + "loss": 0.6357, + "step": 7456 + }, + { + "epoch": 0.22, + "learning_rate": 9.091601942806086e-06, + "loss": 0.6564, + "step": 7457 + }, + { + "epoch": 0.22, + "learning_rate": 9.091328470635294e-06, + "loss": 0.8768, + "step": 7458 + }, + { + "epoch": 0.22, + "learning_rate": 9.091054961420733e-06, + "loss": 0.7201, + "step": 7459 + }, + { + "epoch": 0.22, + "learning_rate": 9.090781415164877e-06, + "loss": 0.8658, + "step": 7460 + }, + { + "epoch": 0.22, + "learning_rate": 9.090507831870205e-06, + "loss": 0.6889, + "step": 7461 + }, + { + "epoch": 0.22, + "learning_rate": 9.090234211539194e-06, + "loss": 0.9138, + "step": 7462 + }, + { + "epoch": 0.22, + "learning_rate": 9.08996055417432e-06, + "loss": 0.852, + "step": 7463 + }, + { + "epoch": 0.22, + "learning_rate": 9.08968685977806e-06, + "loss": 0.9519, + "step": 7464 + }, + { + "epoch": 0.22, + "learning_rate": 9.089413128352893e-06, + "loss": 1.0985, + "step": 7465 + }, + { + "epoch": 0.22, + "learning_rate": 9.0891393599013e-06, + "loss": 0.8383, + "step": 7466 + }, + { + "epoch": 0.22, + "learning_rate": 9.088865554425756e-06, + "loss": 0.8663, + "step": 7467 + }, + { + "epoch": 0.22, + "learning_rate": 9.088591711928741e-06, + "loss": 0.6265, + "step": 7468 + }, + { + "epoch": 0.22, + "learning_rate": 9.088317832412736e-06, + "loss": 0.947, + "step": 7469 + }, + { + "epoch": 0.22, + "learning_rate": 9.08804391588022e-06, + "loss": 0.8278, + "step": 7470 + }, + { + "epoch": 0.22, + "learning_rate": 9.08776996233367e-06, + "loss": 0.8008, + "step": 7471 + }, + { + "epoch": 0.22, + "learning_rate": 9.087495971775573e-06, + "loss": 0.7952, + "step": 7472 + }, + { + "epoch": 0.22, + "learning_rate": 9.087221944208405e-06, + "loss": 0.9343, + "step": 7473 + }, + { + "epoch": 0.22, + "learning_rate": 9.086947879634647e-06, + "loss": 0.838, + "step": 7474 + }, + { + "epoch": 0.22, + "learning_rate": 9.086673778056783e-06, + "loss": 0.8834, + "step": 7475 + }, + { + "epoch": 0.22, + "learning_rate": 9.086399639477294e-06, + "loss": 0.8981, + "step": 7476 + }, + { + "epoch": 0.22, + "learning_rate": 9.08612546389866e-06, + "loss": 0.8091, + "step": 7477 + }, + { + "epoch": 0.22, + "learning_rate": 9.085851251323366e-06, + "loss": 0.8581, + "step": 7478 + }, + { + "epoch": 0.22, + "learning_rate": 9.085577001753892e-06, + "loss": 0.6238, + "step": 7479 + }, + { + "epoch": 0.22, + "learning_rate": 9.085302715192723e-06, + "loss": 0.7517, + "step": 7480 + }, + { + "epoch": 0.22, + "learning_rate": 9.085028391642344e-06, + "loss": 0.6797, + "step": 7481 + }, + { + "epoch": 0.22, + "learning_rate": 9.084754031105236e-06, + "loss": 0.6284, + "step": 7482 + }, + { + "epoch": 0.22, + "learning_rate": 9.084479633583885e-06, + "loss": 0.817, + "step": 7483 + }, + { + "epoch": 0.22, + "learning_rate": 9.084205199080775e-06, + "loss": 0.7464, + "step": 7484 + }, + { + "epoch": 0.22, + "learning_rate": 9.08393072759839e-06, + "loss": 0.6059, + "step": 7485 + }, + { + "epoch": 0.22, + "learning_rate": 9.083656219139215e-06, + "loss": 0.829, + "step": 7486 + }, + { + "epoch": 0.22, + "learning_rate": 9.083381673705735e-06, + "loss": 0.6733, + "step": 7487 + }, + { + "epoch": 0.22, + "learning_rate": 9.083107091300438e-06, + "loss": 0.8291, + "step": 7488 + }, + { + "epoch": 0.22, + "learning_rate": 9.082832471925809e-06, + "loss": 0.6984, + "step": 7489 + }, + { + "epoch": 0.22, + "learning_rate": 9.082557815584334e-06, + "loss": 0.8223, + "step": 7490 + }, + { + "epoch": 0.22, + "learning_rate": 9.082283122278501e-06, + "loss": 0.8237, + "step": 7491 + }, + { + "epoch": 0.22, + "learning_rate": 9.082008392010796e-06, + "loss": 0.5861, + "step": 7492 + }, + { + "epoch": 0.22, + "learning_rate": 9.081733624783706e-06, + "loss": 0.7781, + "step": 7493 + }, + { + "epoch": 0.22, + "learning_rate": 9.08145882059972e-06, + "loss": 0.8265, + "step": 7494 + }, + { + "epoch": 0.22, + "learning_rate": 9.081183979461326e-06, + "loss": 0.7585, + "step": 7495 + }, + { + "epoch": 0.22, + "learning_rate": 9.080909101371014e-06, + "loss": 0.7295, + "step": 7496 + }, + { + "epoch": 0.22, + "learning_rate": 9.080634186331267e-06, + "loss": 1.0703, + "step": 7497 + }, + { + "epoch": 0.22, + "learning_rate": 9.080359234344582e-06, + "loss": 0.8485, + "step": 7498 + }, + { + "epoch": 0.22, + "learning_rate": 9.080084245413444e-06, + "loss": 0.6998, + "step": 7499 + }, + { + "epoch": 0.22, + "learning_rate": 9.07980921954034e-06, + "loss": 0.6542, + "step": 7500 + }, + { + "epoch": 0.22, + "learning_rate": 9.079534156727768e-06, + "loss": 0.6244, + "step": 7501 + }, + { + "epoch": 0.22, + "learning_rate": 9.079259056978211e-06, + "loss": 0.7674, + "step": 7502 + }, + { + "epoch": 0.22, + "learning_rate": 9.078983920294164e-06, + "loss": 0.7862, + "step": 7503 + }, + { + "epoch": 0.22, + "learning_rate": 9.078708746678117e-06, + "loss": 0.7036, + "step": 7504 + }, + { + "epoch": 0.22, + "learning_rate": 9.078433536132563e-06, + "loss": 0.7295, + "step": 7505 + }, + { + "epoch": 0.22, + "learning_rate": 9.078158288659991e-06, + "loss": 0.8215, + "step": 7506 + }, + { + "epoch": 0.22, + "learning_rate": 9.077883004262893e-06, + "loss": 0.7541, + "step": 7507 + }, + { + "epoch": 0.22, + "learning_rate": 9.077607682943765e-06, + "loss": 0.7878, + "step": 7508 + }, + { + "epoch": 0.22, + "learning_rate": 9.077332324705098e-06, + "loss": 0.7052, + "step": 7509 + }, + { + "epoch": 0.22, + "learning_rate": 9.077056929549382e-06, + "loss": 0.6913, + "step": 7510 + }, + { + "epoch": 0.22, + "learning_rate": 9.076781497479115e-06, + "loss": 0.8419, + "step": 7511 + }, + { + "epoch": 0.22, + "learning_rate": 9.07650602849679e-06, + "loss": 0.8498, + "step": 7512 + }, + { + "epoch": 0.22, + "learning_rate": 9.0762305226049e-06, + "loss": 0.6311, + "step": 7513 + }, + { + "epoch": 0.22, + "learning_rate": 9.075954979805941e-06, + "loss": 0.6354, + "step": 7514 + }, + { + "epoch": 0.22, + "learning_rate": 9.075679400102405e-06, + "loss": 0.9481, + "step": 7515 + }, + { + "epoch": 0.22, + "learning_rate": 9.07540378349679e-06, + "loss": 0.5971, + "step": 7516 + }, + { + "epoch": 0.22, + "learning_rate": 9.075128129991589e-06, + "loss": 0.7749, + "step": 7517 + }, + { + "epoch": 0.22, + "learning_rate": 9.0748524395893e-06, + "loss": 0.5899, + "step": 7518 + }, + { + "epoch": 0.22, + "learning_rate": 9.074576712292418e-06, + "loss": 0.5475, + "step": 7519 + }, + { + "epoch": 0.22, + "learning_rate": 9.07430094810344e-06, + "loss": 0.8105, + "step": 7520 + }, + { + "epoch": 0.22, + "learning_rate": 9.074025147024864e-06, + "loss": 0.7972, + "step": 7521 + }, + { + "epoch": 0.22, + "learning_rate": 9.073749309059185e-06, + "loss": 0.6828, + "step": 7522 + }, + { + "epoch": 0.22, + "learning_rate": 9.0734734342089e-06, + "loss": 0.8296, + "step": 7523 + }, + { + "epoch": 0.22, + "learning_rate": 9.073197522476508e-06, + "loss": 0.8987, + "step": 7524 + }, + { + "epoch": 0.22, + "learning_rate": 9.07292157386451e-06, + "loss": 0.7216, + "step": 7525 + }, + { + "epoch": 0.22, + "learning_rate": 9.0726455883754e-06, + "loss": 0.982, + "step": 7526 + }, + { + "epoch": 0.22, + "learning_rate": 9.072369566011678e-06, + "loss": 0.8839, + "step": 7527 + }, + { + "epoch": 0.22, + "learning_rate": 9.072093506775845e-06, + "loss": 0.8663, + "step": 7528 + }, + { + "epoch": 0.22, + "learning_rate": 9.0718174106704e-06, + "loss": 0.7384, + "step": 7529 + }, + { + "epoch": 0.22, + "learning_rate": 9.071541277697843e-06, + "loss": 0.7453, + "step": 7530 + }, + { + "epoch": 0.22, + "learning_rate": 9.071265107860669e-06, + "loss": 1.0026, + "step": 7531 + }, + { + "epoch": 0.22, + "learning_rate": 9.070988901161386e-06, + "loss": 0.5137, + "step": 7532 + }, + { + "epoch": 0.22, + "learning_rate": 9.070712657602491e-06, + "loss": 0.6172, + "step": 7533 + }, + { + "epoch": 0.22, + "learning_rate": 9.070436377186486e-06, + "loss": 0.8663, + "step": 7534 + }, + { + "epoch": 0.22, + "learning_rate": 9.07016005991587e-06, + "loss": 0.9113, + "step": 7535 + }, + { + "epoch": 0.22, + "learning_rate": 9.06988370579315e-06, + "loss": 0.8148, + "step": 7536 + }, + { + "epoch": 0.22, + "learning_rate": 9.069607314820824e-06, + "loss": 0.7984, + "step": 7537 + }, + { + "epoch": 0.22, + "learning_rate": 9.069330887001398e-06, + "loss": 0.845, + "step": 7538 + }, + { + "epoch": 0.22, + "learning_rate": 9.069054422337372e-06, + "loss": 1.2259, + "step": 7539 + }, + { + "epoch": 0.22, + "learning_rate": 9.06877792083125e-06, + "loss": 0.9846, + "step": 7540 + }, + { + "epoch": 0.22, + "learning_rate": 9.068501382485533e-06, + "loss": 0.6498, + "step": 7541 + }, + { + "epoch": 0.22, + "learning_rate": 9.068224807302728e-06, + "loss": 0.805, + "step": 7542 + }, + { + "epoch": 0.22, + "learning_rate": 9.067948195285338e-06, + "loss": 0.9156, + "step": 7543 + }, + { + "epoch": 0.22, + "learning_rate": 9.06767154643587e-06, + "loss": 0.6745, + "step": 7544 + }, + { + "epoch": 0.22, + "learning_rate": 9.067394860756823e-06, + "loss": 0.831, + "step": 7545 + }, + { + "epoch": 0.22, + "learning_rate": 9.06711813825071e-06, + "loss": 0.7469, + "step": 7546 + }, + { + "epoch": 0.22, + "learning_rate": 9.066841378920031e-06, + "loss": 0.9119, + "step": 7547 + }, + { + "epoch": 0.22, + "learning_rate": 9.066564582767293e-06, + "loss": 0.5364, + "step": 7548 + }, + { + "epoch": 0.22, + "learning_rate": 9.066287749795003e-06, + "loss": 0.628, + "step": 7549 + }, + { + "epoch": 0.22, + "learning_rate": 9.066010880005665e-06, + "loss": 0.6416, + "step": 7550 + }, + { + "epoch": 0.22, + "learning_rate": 9.06573397340179e-06, + "loss": 0.5868, + "step": 7551 + }, + { + "epoch": 0.22, + "learning_rate": 9.06545702998588e-06, + "loss": 0.718, + "step": 7552 + }, + { + "epoch": 0.22, + "learning_rate": 9.065180049760448e-06, + "loss": 0.6764, + "step": 7553 + }, + { + "epoch": 0.22, + "learning_rate": 9.064903032727998e-06, + "loss": 0.7734, + "step": 7554 + }, + { + "epoch": 0.22, + "learning_rate": 9.06462597889104e-06, + "loss": 0.6257, + "step": 7555 + }, + { + "epoch": 0.22, + "learning_rate": 9.064348888252081e-06, + "loss": 0.8606, + "step": 7556 + }, + { + "epoch": 0.22, + "learning_rate": 9.06407176081363e-06, + "loss": 0.8923, + "step": 7557 + }, + { + "epoch": 0.22, + "learning_rate": 9.0637945965782e-06, + "loss": 0.7346, + "step": 7558 + }, + { + "epoch": 0.22, + "learning_rate": 9.063517395548297e-06, + "loss": 0.8976, + "step": 7559 + }, + { + "epoch": 0.22, + "learning_rate": 9.06324015772643e-06, + "loss": 0.8037, + "step": 7560 + }, + { + "epoch": 0.22, + "learning_rate": 9.06296288311511e-06, + "loss": 0.6258, + "step": 7561 + }, + { + "epoch": 0.22, + "learning_rate": 9.062685571716847e-06, + "loss": 0.5363, + "step": 7562 + }, + { + "epoch": 0.22, + "learning_rate": 9.062408223534156e-06, + "loss": 0.7699, + "step": 7563 + }, + { + "epoch": 0.22, + "learning_rate": 9.062130838569543e-06, + "loss": 0.7775, + "step": 7564 + }, + { + "epoch": 0.22, + "learning_rate": 9.061853416825522e-06, + "loss": 0.6955, + "step": 7565 + }, + { + "epoch": 0.22, + "learning_rate": 9.061575958304602e-06, + "loss": 0.6871, + "step": 7566 + }, + { + "epoch": 0.22, + "learning_rate": 9.0612984630093e-06, + "loss": 0.6171, + "step": 7567 + }, + { + "epoch": 0.22, + "learning_rate": 9.061020930942126e-06, + "loss": 0.6738, + "step": 7568 + }, + { + "epoch": 0.22, + "learning_rate": 9.060743362105593e-06, + "loss": 0.8247, + "step": 7569 + }, + { + "epoch": 0.22, + "learning_rate": 9.060465756502213e-06, + "loss": 1.0248, + "step": 7570 + }, + { + "epoch": 0.22, + "learning_rate": 9.0601881141345e-06, + "loss": 0.8448, + "step": 7571 + }, + { + "epoch": 0.22, + "learning_rate": 9.059910435004968e-06, + "loss": 0.5392, + "step": 7572 + }, + { + "epoch": 0.22, + "learning_rate": 9.059632719116134e-06, + "loss": 0.896, + "step": 7573 + }, + { + "epoch": 0.22, + "learning_rate": 9.059354966470508e-06, + "loss": 0.9691, + "step": 7574 + }, + { + "epoch": 0.22, + "learning_rate": 9.059077177070608e-06, + "loss": 0.9179, + "step": 7575 + }, + { + "epoch": 0.22, + "learning_rate": 9.058799350918946e-06, + "loss": 0.6277, + "step": 7576 + }, + { + "epoch": 0.22, + "learning_rate": 9.058521488018042e-06, + "loss": 0.7414, + "step": 7577 + }, + { + "epoch": 0.22, + "learning_rate": 9.058243588370407e-06, + "loss": 0.7158, + "step": 7578 + }, + { + "epoch": 0.22, + "learning_rate": 9.057965651978559e-06, + "loss": 0.9444, + "step": 7579 + }, + { + "epoch": 0.22, + "learning_rate": 9.057687678845017e-06, + "loss": 0.5994, + "step": 7580 + }, + { + "epoch": 0.22, + "learning_rate": 9.057409668972295e-06, + "loss": 0.96, + "step": 7581 + }, + { + "epoch": 0.22, + "learning_rate": 9.057131622362911e-06, + "loss": 0.676, + "step": 7582 + }, + { + "epoch": 0.22, + "learning_rate": 9.056853539019383e-06, + "loss": 0.7015, + "step": 7583 + }, + { + "epoch": 0.22, + "learning_rate": 9.05657541894423e-06, + "loss": 0.8088, + "step": 7584 + }, + { + "epoch": 0.22, + "learning_rate": 9.056297262139965e-06, + "loss": 0.392, + "step": 7585 + }, + { + "epoch": 0.22, + "learning_rate": 9.05601906860911e-06, + "loss": 0.6671, + "step": 7586 + }, + { + "epoch": 0.22, + "learning_rate": 9.055740838354185e-06, + "loss": 0.6689, + "step": 7587 + }, + { + "epoch": 0.22, + "learning_rate": 9.055462571377709e-06, + "loss": 0.8826, + "step": 7588 + }, + { + "epoch": 0.22, + "learning_rate": 9.055184267682197e-06, + "loss": 0.6255, + "step": 7589 + }, + { + "epoch": 0.22, + "learning_rate": 9.054905927270177e-06, + "loss": 0.5563, + "step": 7590 + }, + { + "epoch": 0.22, + "learning_rate": 9.05462755014416e-06, + "loss": 0.996, + "step": 7591 + }, + { + "epoch": 0.22, + "learning_rate": 9.054349136306673e-06, + "loss": 0.8746, + "step": 7592 + }, + { + "epoch": 0.22, + "learning_rate": 9.054070685760234e-06, + "loss": 0.8282, + "step": 7593 + }, + { + "epoch": 0.22, + "learning_rate": 9.053792198507365e-06, + "loss": 0.7791, + "step": 7594 + }, + { + "epoch": 0.22, + "learning_rate": 9.053513674550588e-06, + "loss": 0.6612, + "step": 7595 + }, + { + "epoch": 0.22, + "learning_rate": 9.053235113892424e-06, + "loss": 1.0083, + "step": 7596 + }, + { + "epoch": 0.22, + "learning_rate": 9.052956516535393e-06, + "loss": 0.8858, + "step": 7597 + }, + { + "epoch": 0.22, + "learning_rate": 9.052677882482022e-06, + "loss": 0.7571, + "step": 7598 + }, + { + "epoch": 0.22, + "learning_rate": 9.052399211734832e-06, + "loss": 0.6027, + "step": 7599 + }, + { + "epoch": 0.22, + "learning_rate": 9.052120504296345e-06, + "loss": 0.9474, + "step": 7600 + }, + { + "epoch": 0.22, + "learning_rate": 9.051841760169084e-06, + "loss": 0.7021, + "step": 7601 + }, + { + "epoch": 0.22, + "learning_rate": 9.051562979355575e-06, + "loss": 0.7509, + "step": 7602 + }, + { + "epoch": 0.22, + "learning_rate": 9.051284161858342e-06, + "loss": 0.8824, + "step": 7603 + }, + { + "epoch": 0.22, + "learning_rate": 9.051005307679908e-06, + "loss": 0.6601, + "step": 7604 + }, + { + "epoch": 0.22, + "learning_rate": 9.050726416822796e-06, + "loss": 0.8722, + "step": 7605 + }, + { + "epoch": 0.22, + "learning_rate": 9.050447489289538e-06, + "loss": 0.6813, + "step": 7606 + }, + { + "epoch": 0.22, + "learning_rate": 9.050168525082652e-06, + "loss": 0.8513, + "step": 7607 + }, + { + "epoch": 0.22, + "learning_rate": 9.049889524204667e-06, + "loss": 0.686, + "step": 7608 + }, + { + "epoch": 0.22, + "learning_rate": 9.04961048665811e-06, + "loss": 0.6412, + "step": 7609 + }, + { + "epoch": 0.22, + "learning_rate": 9.049331412445505e-06, + "loss": 0.9742, + "step": 7610 + }, + { + "epoch": 0.22, + "learning_rate": 9.049052301569382e-06, + "loss": 0.9431, + "step": 7611 + }, + { + "epoch": 0.22, + "learning_rate": 9.048773154032265e-06, + "loss": 0.6167, + "step": 7612 + }, + { + "epoch": 0.22, + "learning_rate": 9.048493969836684e-06, + "loss": 0.7046, + "step": 7613 + }, + { + "epoch": 0.22, + "learning_rate": 9.048214748985164e-06, + "loss": 0.6811, + "step": 7614 + }, + { + "epoch": 0.22, + "learning_rate": 9.047935491480237e-06, + "loss": 0.9091, + "step": 7615 + }, + { + "epoch": 0.22, + "learning_rate": 9.047656197324429e-06, + "loss": 0.7793, + "step": 7616 + }, + { + "epoch": 0.22, + "learning_rate": 9.047376866520267e-06, + "loss": 0.8043, + "step": 7617 + }, + { + "epoch": 0.22, + "learning_rate": 9.047097499070281e-06, + "loss": 0.7319, + "step": 7618 + }, + { + "epoch": 0.22, + "learning_rate": 9.046818094977005e-06, + "loss": 0.7061, + "step": 7619 + }, + { + "epoch": 0.22, + "learning_rate": 9.046538654242964e-06, + "loss": 0.9045, + "step": 7620 + }, + { + "epoch": 0.22, + "learning_rate": 9.046259176870689e-06, + "loss": 0.8972, + "step": 7621 + }, + { + "epoch": 0.22, + "learning_rate": 9.045979662862711e-06, + "loss": 0.744, + "step": 7622 + }, + { + "epoch": 0.22, + "learning_rate": 9.045700112221561e-06, + "loss": 0.7984, + "step": 7623 + }, + { + "epoch": 0.22, + "learning_rate": 9.04542052494977e-06, + "loss": 0.8978, + "step": 7624 + }, + { + "epoch": 0.22, + "learning_rate": 9.04514090104987e-06, + "loss": 0.7861, + "step": 7625 + }, + { + "epoch": 0.22, + "learning_rate": 9.04486124052439e-06, + "loss": 0.8152, + "step": 7626 + }, + { + "epoch": 0.22, + "learning_rate": 9.044581543375865e-06, + "loss": 0.6758, + "step": 7627 + }, + { + "epoch": 0.22, + "learning_rate": 9.044301809606825e-06, + "loss": 0.7143, + "step": 7628 + }, + { + "epoch": 0.22, + "learning_rate": 9.044022039219806e-06, + "loss": 0.7131, + "step": 7629 + }, + { + "epoch": 0.22, + "learning_rate": 9.043742232217341e-06, + "loss": 0.8003, + "step": 7630 + }, + { + "epoch": 0.22, + "learning_rate": 9.04346238860196e-06, + "loss": 0.8674, + "step": 7631 + }, + { + "epoch": 0.22, + "learning_rate": 9.043182508376198e-06, + "loss": 0.9615, + "step": 7632 + }, + { + "epoch": 0.22, + "learning_rate": 9.04290259154259e-06, + "loss": 0.4642, + "step": 7633 + }, + { + "epoch": 0.22, + "learning_rate": 9.042622638103672e-06, + "loss": 1.0358, + "step": 7634 + }, + { + "epoch": 0.22, + "learning_rate": 9.042342648061975e-06, + "loss": 0.5956, + "step": 7635 + }, + { + "epoch": 0.22, + "learning_rate": 9.042062621420039e-06, + "loss": 0.897, + "step": 7636 + }, + { + "epoch": 0.22, + "learning_rate": 9.041782558180393e-06, + "loss": 0.7358, + "step": 7637 + }, + { + "epoch": 0.22, + "learning_rate": 9.041502458345578e-06, + "loss": 0.5473, + "step": 7638 + }, + { + "epoch": 0.22, + "learning_rate": 9.041222321918127e-06, + "loss": 0.586, + "step": 7639 + }, + { + "epoch": 0.22, + "learning_rate": 9.040942148900577e-06, + "loss": 0.6676, + "step": 7640 + }, + { + "epoch": 0.22, + "learning_rate": 9.040661939295467e-06, + "loss": 0.6866, + "step": 7641 + }, + { + "epoch": 0.22, + "learning_rate": 9.040381693105333e-06, + "loss": 0.4803, + "step": 7642 + }, + { + "epoch": 0.22, + "learning_rate": 9.040101410332712e-06, + "loss": 0.7845, + "step": 7643 + }, + { + "epoch": 0.22, + "learning_rate": 9.03982109098014e-06, + "loss": 0.7508, + "step": 7644 + }, + { + "epoch": 0.22, + "learning_rate": 9.039540735050157e-06, + "loss": 0.7886, + "step": 7645 + }, + { + "epoch": 0.22, + "learning_rate": 9.039260342545302e-06, + "loss": 0.7707, + "step": 7646 + }, + { + "epoch": 0.22, + "learning_rate": 9.038979913468112e-06, + "loss": 0.9591, + "step": 7647 + }, + { + "epoch": 0.22, + "learning_rate": 9.038699447821126e-06, + "loss": 0.5837, + "step": 7648 + }, + { + "epoch": 0.22, + "learning_rate": 9.038418945606887e-06, + "loss": 0.7609, + "step": 7649 + }, + { + "epoch": 0.22, + "learning_rate": 9.03813840682793e-06, + "loss": 0.9445, + "step": 7650 + }, + { + "epoch": 0.22, + "learning_rate": 9.037857831486799e-06, + "loss": 0.8237, + "step": 7651 + }, + { + "epoch": 0.22, + "learning_rate": 9.037577219586031e-06, + "loss": 0.8815, + "step": 7652 + }, + { + "epoch": 0.22, + "learning_rate": 9.037296571128168e-06, + "loss": 0.6614, + "step": 7653 + }, + { + "epoch": 0.22, + "learning_rate": 9.037015886115752e-06, + "loss": 0.9823, + "step": 7654 + }, + { + "epoch": 0.22, + "learning_rate": 9.036735164551324e-06, + "loss": 0.9569, + "step": 7655 + }, + { + "epoch": 0.22, + "learning_rate": 9.036454406437425e-06, + "loss": 0.7797, + "step": 7656 + }, + { + "epoch": 0.22, + "learning_rate": 9.036173611776598e-06, + "loss": 0.7905, + "step": 7657 + }, + { + "epoch": 0.22, + "learning_rate": 9.035892780571382e-06, + "loss": 0.6121, + "step": 7658 + }, + { + "epoch": 0.23, + "learning_rate": 9.035611912824326e-06, + "loss": 0.9062, + "step": 7659 + }, + { + "epoch": 0.23, + "learning_rate": 9.035331008537968e-06, + "loss": 0.7675, + "step": 7660 + }, + { + "epoch": 0.23, + "learning_rate": 9.035050067714852e-06, + "loss": 0.7905, + "step": 7661 + }, + { + "epoch": 0.23, + "learning_rate": 9.034769090357525e-06, + "loss": 0.7417, + "step": 7662 + }, + { + "epoch": 0.23, + "learning_rate": 9.034488076468525e-06, + "loss": 0.8471, + "step": 7663 + }, + { + "epoch": 0.23, + "learning_rate": 9.034207026050403e-06, + "loss": 0.9049, + "step": 7664 + }, + { + "epoch": 0.23, + "learning_rate": 9.033925939105701e-06, + "loss": 0.7898, + "step": 7665 + }, + { + "epoch": 0.23, + "learning_rate": 9.033644815636961e-06, + "loss": 0.8673, + "step": 7666 + }, + { + "epoch": 0.23, + "learning_rate": 9.033363655646735e-06, + "loss": 0.8792, + "step": 7667 + }, + { + "epoch": 0.23, + "learning_rate": 9.03308245913756e-06, + "loss": 0.5977, + "step": 7668 + }, + { + "epoch": 0.23, + "learning_rate": 9.03280122611199e-06, + "loss": 0.9477, + "step": 7669 + }, + { + "epoch": 0.23, + "learning_rate": 9.032519956572567e-06, + "loss": 0.7963, + "step": 7670 + }, + { + "epoch": 0.23, + "learning_rate": 9.032238650521839e-06, + "loss": 0.9298, + "step": 7671 + }, + { + "epoch": 0.23, + "learning_rate": 9.031957307962353e-06, + "loss": 0.7021, + "step": 7672 + }, + { + "epoch": 0.23, + "learning_rate": 9.031675928896656e-06, + "loss": 0.6001, + "step": 7673 + }, + { + "epoch": 0.23, + "learning_rate": 9.031394513327296e-06, + "loss": 0.6734, + "step": 7674 + }, + { + "epoch": 0.23, + "learning_rate": 9.03111306125682e-06, + "loss": 0.776, + "step": 7675 + }, + { + "epoch": 0.23, + "learning_rate": 9.030831572687778e-06, + "loss": 0.5734, + "step": 7676 + }, + { + "epoch": 0.23, + "learning_rate": 9.030550047622718e-06, + "loss": 0.6371, + "step": 7677 + }, + { + "epoch": 0.23, + "learning_rate": 9.030268486064186e-06, + "loss": 0.8856, + "step": 7678 + }, + { + "epoch": 0.23, + "learning_rate": 9.029986888014737e-06, + "loss": 0.6462, + "step": 7679 + }, + { + "epoch": 0.23, + "learning_rate": 9.029705253476916e-06, + "loss": 0.5609, + "step": 7680 + }, + { + "epoch": 0.23, + "learning_rate": 9.029423582453277e-06, + "loss": 0.5466, + "step": 7681 + }, + { + "epoch": 0.23, + "learning_rate": 9.029141874946366e-06, + "loss": 0.6293, + "step": 7682 + }, + { + "epoch": 0.23, + "learning_rate": 9.028860130958737e-06, + "loss": 0.685, + "step": 7683 + }, + { + "epoch": 0.23, + "learning_rate": 9.028578350492938e-06, + "loss": 0.6716, + "step": 7684 + }, + { + "epoch": 0.23, + "learning_rate": 9.028296533551522e-06, + "loss": 0.8373, + "step": 7685 + }, + { + "epoch": 0.23, + "learning_rate": 9.028014680137042e-06, + "loss": 0.561, + "step": 7686 + }, + { + "epoch": 0.23, + "learning_rate": 9.027732790252049e-06, + "loss": 0.534, + "step": 7687 + }, + { + "epoch": 0.23, + "learning_rate": 9.027450863899092e-06, + "loss": 0.8775, + "step": 7688 + }, + { + "epoch": 0.23, + "learning_rate": 9.027168901080728e-06, + "loss": 0.7921, + "step": 7689 + }, + { + "epoch": 0.23, + "learning_rate": 9.026886901799509e-06, + "loss": 0.3915, + "step": 7690 + }, + { + "epoch": 0.23, + "learning_rate": 9.026604866057987e-06, + "loss": 0.8434, + "step": 7691 + }, + { + "epoch": 0.23, + "learning_rate": 9.026322793858716e-06, + "loss": 0.7371, + "step": 7692 + }, + { + "epoch": 0.23, + "learning_rate": 9.02604068520425e-06, + "loss": 0.8211, + "step": 7693 + }, + { + "epoch": 0.23, + "learning_rate": 9.025758540097145e-06, + "loss": 0.7103, + "step": 7694 + }, + { + "epoch": 0.23, + "learning_rate": 9.025476358539952e-06, + "loss": 0.7008, + "step": 7695 + }, + { + "epoch": 0.23, + "learning_rate": 9.025194140535229e-06, + "loss": 0.7913, + "step": 7696 + }, + { + "epoch": 0.23, + "learning_rate": 9.024911886085532e-06, + "loss": 0.6097, + "step": 7697 + }, + { + "epoch": 0.23, + "learning_rate": 9.024629595193412e-06, + "loss": 0.6583, + "step": 7698 + }, + { + "epoch": 0.23, + "learning_rate": 9.024347267861431e-06, + "loss": 0.7698, + "step": 7699 + }, + { + "epoch": 0.23, + "learning_rate": 9.02406490409214e-06, + "loss": 0.8015, + "step": 7700 + }, + { + "epoch": 0.23, + "learning_rate": 9.023782503888097e-06, + "loss": 1.0296, + "step": 7701 + }, + { + "epoch": 0.23, + "learning_rate": 9.02350006725186e-06, + "loss": 0.7427, + "step": 7702 + }, + { + "epoch": 0.23, + "learning_rate": 9.023217594185986e-06, + "loss": 0.6771, + "step": 7703 + }, + { + "epoch": 0.23, + "learning_rate": 9.022935084693032e-06, + "loss": 0.8982, + "step": 7704 + }, + { + "epoch": 0.23, + "learning_rate": 9.022652538775558e-06, + "loss": 0.7154, + "step": 7705 + }, + { + "epoch": 0.23, + "learning_rate": 9.02236995643612e-06, + "loss": 0.7719, + "step": 7706 + }, + { + "epoch": 0.23, + "learning_rate": 9.022087337677276e-06, + "loss": 0.8235, + "step": 7707 + }, + { + "epoch": 0.23, + "learning_rate": 9.021804682501586e-06, + "loss": 0.8057, + "step": 7708 + }, + { + "epoch": 0.23, + "learning_rate": 9.021521990911611e-06, + "loss": 0.6163, + "step": 7709 + }, + { + "epoch": 0.23, + "learning_rate": 9.021239262909907e-06, + "loss": 0.7116, + "step": 7710 + }, + { + "epoch": 0.23, + "learning_rate": 9.020956498499035e-06, + "loss": 0.8245, + "step": 7711 + }, + { + "epoch": 0.23, + "learning_rate": 9.020673697681556e-06, + "loss": 0.8792, + "step": 7712 + }, + { + "epoch": 0.23, + "learning_rate": 9.02039086046003e-06, + "loss": 0.9407, + "step": 7713 + }, + { + "epoch": 0.23, + "learning_rate": 9.02010798683702e-06, + "loss": 0.6981, + "step": 7714 + }, + { + "epoch": 0.23, + "learning_rate": 9.019825076815085e-06, + "loss": 0.5319, + "step": 7715 + }, + { + "epoch": 0.23, + "learning_rate": 9.019542130396787e-06, + "loss": 1.0402, + "step": 7716 + }, + { + "epoch": 0.23, + "learning_rate": 9.019259147584688e-06, + "loss": 0.7947, + "step": 7717 + }, + { + "epoch": 0.23, + "learning_rate": 9.018976128381349e-06, + "loss": 0.7315, + "step": 7718 + }, + { + "epoch": 0.23, + "learning_rate": 9.018693072789332e-06, + "loss": 0.7697, + "step": 7719 + }, + { + "epoch": 0.23, + "learning_rate": 9.018409980811204e-06, + "loss": 0.7252, + "step": 7720 + }, + { + "epoch": 0.23, + "learning_rate": 9.018126852449525e-06, + "loss": 0.841, + "step": 7721 + }, + { + "epoch": 0.23, + "learning_rate": 9.01784368770686e-06, + "loss": 0.7913, + "step": 7722 + }, + { + "epoch": 0.23, + "learning_rate": 9.01756048658577e-06, + "loss": 0.6732, + "step": 7723 + }, + { + "epoch": 0.23, + "learning_rate": 9.017277249088822e-06, + "loss": 0.6437, + "step": 7724 + }, + { + "epoch": 0.23, + "learning_rate": 9.01699397521858e-06, + "loss": 0.9911, + "step": 7725 + }, + { + "epoch": 0.23, + "learning_rate": 9.016710664977607e-06, + "loss": 0.9479, + "step": 7726 + }, + { + "epoch": 0.23, + "learning_rate": 9.01642731836847e-06, + "loss": 0.7336, + "step": 7727 + }, + { + "epoch": 0.23, + "learning_rate": 9.016143935393735e-06, + "loss": 0.9855, + "step": 7728 + }, + { + "epoch": 0.23, + "learning_rate": 9.015860516055965e-06, + "loss": 0.8301, + "step": 7729 + }, + { + "epoch": 0.23, + "learning_rate": 9.015577060357729e-06, + "loss": 0.7591, + "step": 7730 + }, + { + "epoch": 0.23, + "learning_rate": 9.015293568301591e-06, + "loss": 0.6616, + "step": 7731 + }, + { + "epoch": 0.23, + "learning_rate": 9.01501003989012e-06, + "loss": 0.6293, + "step": 7732 + }, + { + "epoch": 0.23, + "learning_rate": 9.014726475125884e-06, + "loss": 1.0028, + "step": 7733 + }, + { + "epoch": 0.23, + "learning_rate": 9.014442874011446e-06, + "loss": 0.7501, + "step": 7734 + }, + { + "epoch": 0.23, + "learning_rate": 9.01415923654938e-06, + "loss": 1.0505, + "step": 7735 + }, + { + "epoch": 0.23, + "learning_rate": 9.01387556274225e-06, + "loss": 0.7943, + "step": 7736 + }, + { + "epoch": 0.23, + "learning_rate": 9.013591852592622e-06, + "loss": 0.6903, + "step": 7737 + }, + { + "epoch": 0.23, + "learning_rate": 9.01330810610307e-06, + "loss": 0.8542, + "step": 7738 + }, + { + "epoch": 0.23, + "learning_rate": 9.013024323276161e-06, + "loss": 0.9086, + "step": 7739 + }, + { + "epoch": 0.23, + "learning_rate": 9.012740504114464e-06, + "loss": 0.5809, + "step": 7740 + }, + { + "epoch": 0.23, + "learning_rate": 9.012456648620548e-06, + "loss": 0.6171, + "step": 7741 + }, + { + "epoch": 0.23, + "learning_rate": 9.012172756796987e-06, + "loss": 0.5449, + "step": 7742 + }, + { + "epoch": 0.23, + "learning_rate": 9.011888828646349e-06, + "loss": 0.6836, + "step": 7743 + }, + { + "epoch": 0.23, + "learning_rate": 9.011604864171202e-06, + "loss": 0.6611, + "step": 7744 + }, + { + "epoch": 0.23, + "learning_rate": 9.01132086337412e-06, + "loss": 0.9539, + "step": 7745 + }, + { + "epoch": 0.23, + "learning_rate": 9.011036826257676e-06, + "loss": 0.807, + "step": 7746 + }, + { + "epoch": 0.23, + "learning_rate": 9.010752752824436e-06, + "loss": 0.7463, + "step": 7747 + }, + { + "epoch": 0.23, + "learning_rate": 9.010468643076979e-06, + "loss": 0.589, + "step": 7748 + }, + { + "epoch": 0.23, + "learning_rate": 9.010184497017873e-06, + "loss": 0.6994, + "step": 7749 + }, + { + "epoch": 0.23, + "learning_rate": 9.00990031464969e-06, + "loss": 0.8687, + "step": 7750 + }, + { + "epoch": 0.23, + "learning_rate": 9.009616095975007e-06, + "loss": 0.8425, + "step": 7751 + }, + { + "epoch": 0.23, + "learning_rate": 9.009331840996396e-06, + "loss": 0.7704, + "step": 7752 + }, + { + "epoch": 0.23, + "learning_rate": 9.009047549716429e-06, + "loss": 1.0046, + "step": 7753 + }, + { + "epoch": 0.23, + "learning_rate": 9.008763222137682e-06, + "loss": 0.7165, + "step": 7754 + }, + { + "epoch": 0.23, + "learning_rate": 9.008478858262725e-06, + "loss": 0.5401, + "step": 7755 + }, + { + "epoch": 0.23, + "learning_rate": 9.008194458094139e-06, + "loss": 0.4642, + "step": 7756 + }, + { + "epoch": 0.23, + "learning_rate": 9.007910021634497e-06, + "loss": 0.7696, + "step": 7757 + }, + { + "epoch": 0.23, + "learning_rate": 9.007625548886369e-06, + "loss": 0.8295, + "step": 7758 + }, + { + "epoch": 0.23, + "learning_rate": 9.00734103985234e-06, + "loss": 0.7083, + "step": 7759 + }, + { + "epoch": 0.23, + "learning_rate": 9.007056494534979e-06, + "loss": 0.8187, + "step": 7760 + }, + { + "epoch": 0.23, + "learning_rate": 9.006771912936863e-06, + "loss": 0.8919, + "step": 7761 + }, + { + "epoch": 0.23, + "learning_rate": 9.006487295060573e-06, + "loss": 1.0589, + "step": 7762 + }, + { + "epoch": 0.23, + "learning_rate": 9.006202640908681e-06, + "loss": 0.8248, + "step": 7763 + }, + { + "epoch": 0.23, + "learning_rate": 9.005917950483767e-06, + "loss": 0.7586, + "step": 7764 + }, + { + "epoch": 0.23, + "learning_rate": 9.005633223788408e-06, + "loss": 0.6866, + "step": 7765 + }, + { + "epoch": 0.23, + "learning_rate": 9.005348460825183e-06, + "loss": 1.0304, + "step": 7766 + }, + { + "epoch": 0.23, + "learning_rate": 9.005063661596668e-06, + "loss": 0.7266, + "step": 7767 + }, + { + "epoch": 0.23, + "learning_rate": 9.004778826105444e-06, + "loss": 0.7027, + "step": 7768 + }, + { + "epoch": 0.23, + "learning_rate": 9.004493954354088e-06, + "loss": 0.6833, + "step": 7769 + }, + { + "epoch": 0.23, + "learning_rate": 9.00420904634518e-06, + "loss": 0.7295, + "step": 7770 + }, + { + "epoch": 0.23, + "learning_rate": 9.003924102081301e-06, + "loss": 0.6903, + "step": 7771 + }, + { + "epoch": 0.23, + "learning_rate": 9.00363912156503e-06, + "loss": 0.5892, + "step": 7772 + }, + { + "epoch": 0.23, + "learning_rate": 9.003354104798946e-06, + "loss": 0.7874, + "step": 7773 + }, + { + "epoch": 0.23, + "learning_rate": 9.003069051785631e-06, + "loss": 0.8486, + "step": 7774 + }, + { + "epoch": 0.23, + "learning_rate": 9.002783962527666e-06, + "loss": 0.7753, + "step": 7775 + }, + { + "epoch": 0.23, + "learning_rate": 9.002498837027632e-06, + "loss": 0.7645, + "step": 7776 + }, + { + "epoch": 0.23, + "learning_rate": 9.00221367528811e-06, + "loss": 0.8991, + "step": 7777 + }, + { + "epoch": 0.23, + "learning_rate": 9.001928477311683e-06, + "loss": 0.6604, + "step": 7778 + }, + { + "epoch": 0.23, + "learning_rate": 9.001643243100932e-06, + "loss": 0.7526, + "step": 7779 + }, + { + "epoch": 0.23, + "learning_rate": 9.00135797265844e-06, + "loss": 0.7503, + "step": 7780 + }, + { + "epoch": 0.23, + "learning_rate": 9.00107266598679e-06, + "loss": 0.6411, + "step": 7781 + }, + { + "epoch": 0.23, + "learning_rate": 9.000787323088566e-06, + "loss": 0.6455, + "step": 7782 + }, + { + "epoch": 0.23, + "learning_rate": 9.00050194396635e-06, + "loss": 0.8427, + "step": 7783 + }, + { + "epoch": 0.23, + "learning_rate": 9.000216528622726e-06, + "loss": 0.5892, + "step": 7784 + }, + { + "epoch": 0.23, + "learning_rate": 8.999931077060282e-06, + "loss": 0.9264, + "step": 7785 + }, + { + "epoch": 0.23, + "learning_rate": 8.999645589281598e-06, + "loss": 0.6279, + "step": 7786 + }, + { + "epoch": 0.23, + "learning_rate": 8.99936006528926e-06, + "loss": 0.6979, + "step": 7787 + }, + { + "epoch": 0.23, + "learning_rate": 8.999074505085854e-06, + "loss": 0.7889, + "step": 7788 + }, + { + "epoch": 0.23, + "learning_rate": 8.998788908673964e-06, + "loss": 0.9145, + "step": 7789 + }, + { + "epoch": 0.23, + "learning_rate": 8.99850327605618e-06, + "loss": 0.8375, + "step": 7790 + }, + { + "epoch": 0.23, + "learning_rate": 8.998217607235082e-06, + "loss": 0.8905, + "step": 7791 + }, + { + "epoch": 0.23, + "learning_rate": 8.99793190221326e-06, + "loss": 0.7925, + "step": 7792 + }, + { + "epoch": 0.23, + "learning_rate": 8.9976461609933e-06, + "loss": 0.82, + "step": 7793 + }, + { + "epoch": 0.23, + "learning_rate": 8.997360383577791e-06, + "loss": 0.9603, + "step": 7794 + }, + { + "epoch": 0.23, + "learning_rate": 8.99707456996932e-06, + "loss": 0.8664, + "step": 7795 + }, + { + "epoch": 0.23, + "learning_rate": 8.996788720170472e-06, + "loss": 0.8946, + "step": 7796 + }, + { + "epoch": 0.23, + "learning_rate": 8.996502834183838e-06, + "loss": 0.8183, + "step": 7797 + }, + { + "epoch": 0.23, + "learning_rate": 8.996216912012007e-06, + "loss": 0.7753, + "step": 7798 + }, + { + "epoch": 0.23, + "learning_rate": 8.995930953657563e-06, + "loss": 0.9551, + "step": 7799 + }, + { + "epoch": 0.23, + "learning_rate": 8.9956449591231e-06, + "loss": 1.0928, + "step": 7800 + }, + { + "epoch": 0.23, + "learning_rate": 8.995358928411206e-06, + "loss": 0.7349, + "step": 7801 + }, + { + "epoch": 0.23, + "learning_rate": 8.995072861524473e-06, + "loss": 0.5096, + "step": 7802 + }, + { + "epoch": 0.23, + "learning_rate": 8.994786758465486e-06, + "loss": 0.7065, + "step": 7803 + }, + { + "epoch": 0.23, + "learning_rate": 8.99450061923684e-06, + "loss": 0.8002, + "step": 7804 + }, + { + "epoch": 0.23, + "learning_rate": 8.99421444384112e-06, + "loss": 0.9995, + "step": 7805 + }, + { + "epoch": 0.23, + "learning_rate": 8.993928232280926e-06, + "loss": 0.6246, + "step": 7806 + }, + { + "epoch": 0.23, + "learning_rate": 8.993641984558843e-06, + "loss": 0.8823, + "step": 7807 + }, + { + "epoch": 0.23, + "learning_rate": 8.993355700677465e-06, + "loss": 0.8573, + "step": 7808 + }, + { + "epoch": 0.23, + "learning_rate": 8.993069380639382e-06, + "loss": 0.6147, + "step": 7809 + }, + { + "epoch": 0.23, + "learning_rate": 8.992783024447187e-06, + "loss": 1.2182, + "step": 7810 + }, + { + "epoch": 0.23, + "learning_rate": 8.992496632103476e-06, + "loss": 1.0836, + "step": 7811 + }, + { + "epoch": 0.23, + "learning_rate": 8.992210203610838e-06, + "loss": 1.0392, + "step": 7812 + }, + { + "epoch": 0.23, + "learning_rate": 8.991923738971868e-06, + "loss": 0.9305, + "step": 7813 + }, + { + "epoch": 0.23, + "learning_rate": 8.99163723818916e-06, + "loss": 0.9193, + "step": 7814 + }, + { + "epoch": 0.23, + "learning_rate": 8.991350701265307e-06, + "loss": 1.0661, + "step": 7815 + }, + { + "epoch": 0.23, + "learning_rate": 8.991064128202905e-06, + "loss": 0.6906, + "step": 7816 + }, + { + "epoch": 0.23, + "learning_rate": 8.990777519004548e-06, + "loss": 0.9406, + "step": 7817 + }, + { + "epoch": 0.23, + "learning_rate": 8.99049087367283e-06, + "loss": 0.8171, + "step": 7818 + }, + { + "epoch": 0.23, + "learning_rate": 8.990204192210348e-06, + "loss": 0.8002, + "step": 7819 + }, + { + "epoch": 0.23, + "learning_rate": 8.989917474619696e-06, + "loss": 0.6539, + "step": 7820 + }, + { + "epoch": 0.23, + "learning_rate": 8.989630720903473e-06, + "loss": 0.8412, + "step": 7821 + }, + { + "epoch": 0.23, + "learning_rate": 8.98934393106427e-06, + "loss": 0.6358, + "step": 7822 + }, + { + "epoch": 0.23, + "learning_rate": 8.989057105104689e-06, + "loss": 0.9615, + "step": 7823 + }, + { + "epoch": 0.23, + "learning_rate": 8.988770243027324e-06, + "loss": 0.948, + "step": 7824 + }, + { + "epoch": 0.23, + "learning_rate": 8.988483344834772e-06, + "loss": 0.6863, + "step": 7825 + }, + { + "epoch": 0.23, + "learning_rate": 8.988196410529635e-06, + "loss": 0.8553, + "step": 7826 + }, + { + "epoch": 0.23, + "learning_rate": 8.987909440114505e-06, + "loss": 1.0126, + "step": 7827 + }, + { + "epoch": 0.23, + "learning_rate": 8.987622433591983e-06, + "loss": 0.6596, + "step": 7828 + }, + { + "epoch": 0.23, + "learning_rate": 8.987335390964669e-06, + "loss": 0.6995, + "step": 7829 + }, + { + "epoch": 0.23, + "learning_rate": 8.987048312235159e-06, + "loss": 0.7933, + "step": 7830 + }, + { + "epoch": 0.23, + "learning_rate": 8.986761197406055e-06, + "loss": 0.6271, + "step": 7831 + }, + { + "epoch": 0.23, + "learning_rate": 8.986474046479954e-06, + "loss": 0.521, + "step": 7832 + }, + { + "epoch": 0.23, + "learning_rate": 8.98618685945946e-06, + "loss": 0.696, + "step": 7833 + }, + { + "epoch": 0.23, + "learning_rate": 8.985899636347168e-06, + "loss": 0.9772, + "step": 7834 + }, + { + "epoch": 0.23, + "learning_rate": 8.985612377145682e-06, + "loss": 1.0148, + "step": 7835 + }, + { + "epoch": 0.23, + "learning_rate": 8.985325081857603e-06, + "loss": 0.8986, + "step": 7836 + }, + { + "epoch": 0.23, + "learning_rate": 8.98503775048553e-06, + "loss": 0.5798, + "step": 7837 + }, + { + "epoch": 0.23, + "learning_rate": 8.984750383032067e-06, + "loss": 0.5382, + "step": 7838 + }, + { + "epoch": 0.23, + "learning_rate": 8.984462979499814e-06, + "loss": 0.8297, + "step": 7839 + }, + { + "epoch": 0.23, + "learning_rate": 8.984175539891375e-06, + "loss": 0.7805, + "step": 7840 + }, + { + "epoch": 0.23, + "learning_rate": 8.98388806420935e-06, + "loss": 0.6337, + "step": 7841 + }, + { + "epoch": 0.23, + "learning_rate": 8.983600552456345e-06, + "loss": 0.8126, + "step": 7842 + }, + { + "epoch": 0.23, + "learning_rate": 8.98331300463496e-06, + "loss": 0.688, + "step": 7843 + }, + { + "epoch": 0.23, + "learning_rate": 8.983025420747801e-06, + "loss": 0.7495, + "step": 7844 + }, + { + "epoch": 0.23, + "learning_rate": 8.982737800797472e-06, + "loss": 0.7196, + "step": 7845 + }, + { + "epoch": 0.23, + "learning_rate": 8.982450144786575e-06, + "loss": 0.8239, + "step": 7846 + }, + { + "epoch": 0.23, + "learning_rate": 8.982162452717715e-06, + "loss": 0.8568, + "step": 7847 + }, + { + "epoch": 0.23, + "learning_rate": 8.9818747245935e-06, + "loss": 1.0486, + "step": 7848 + }, + { + "epoch": 0.23, + "learning_rate": 8.98158696041653e-06, + "loss": 0.6766, + "step": 7849 + }, + { + "epoch": 0.23, + "learning_rate": 8.981299160189415e-06, + "loss": 0.6969, + "step": 7850 + }, + { + "epoch": 0.23, + "learning_rate": 8.981011323914758e-06, + "loss": 0.7517, + "step": 7851 + }, + { + "epoch": 0.23, + "learning_rate": 8.980723451595165e-06, + "loss": 0.964, + "step": 7852 + }, + { + "epoch": 0.23, + "learning_rate": 8.980435543233246e-06, + "loss": 0.7764, + "step": 7853 + }, + { + "epoch": 0.23, + "learning_rate": 8.980147598831602e-06, + "loss": 0.6072, + "step": 7854 + }, + { + "epoch": 0.23, + "learning_rate": 8.979859618392845e-06, + "loss": 0.7095, + "step": 7855 + }, + { + "epoch": 0.23, + "learning_rate": 8.979571601919582e-06, + "loss": 0.6683, + "step": 7856 + }, + { + "epoch": 0.23, + "learning_rate": 8.979283549414419e-06, + "loss": 0.7386, + "step": 7857 + }, + { + "epoch": 0.23, + "learning_rate": 8.978995460879964e-06, + "loss": 0.9286, + "step": 7858 + }, + { + "epoch": 0.23, + "learning_rate": 8.978707336318826e-06, + "loss": 0.9657, + "step": 7859 + }, + { + "epoch": 0.23, + "learning_rate": 8.978419175733614e-06, + "loss": 0.418, + "step": 7860 + }, + { + "epoch": 0.23, + "learning_rate": 8.978130979126938e-06, + "loss": 0.6047, + "step": 7861 + }, + { + "epoch": 0.23, + "learning_rate": 8.977842746501404e-06, + "loss": 0.9784, + "step": 7862 + }, + { + "epoch": 0.23, + "learning_rate": 8.977554477859625e-06, + "loss": 0.6592, + "step": 7863 + }, + { + "epoch": 0.23, + "learning_rate": 8.97726617320421e-06, + "loss": 0.7792, + "step": 7864 + }, + { + "epoch": 0.23, + "learning_rate": 8.976977832537772e-06, + "loss": 0.8944, + "step": 7865 + }, + { + "epoch": 0.23, + "learning_rate": 8.976689455862917e-06, + "loss": 0.9114, + "step": 7866 + }, + { + "epoch": 0.23, + "learning_rate": 8.976401043182257e-06, + "loss": 0.6391, + "step": 7867 + }, + { + "epoch": 0.23, + "learning_rate": 8.976112594498407e-06, + "loss": 0.8917, + "step": 7868 + }, + { + "epoch": 0.23, + "learning_rate": 8.975824109813975e-06, + "loss": 0.6185, + "step": 7869 + }, + { + "epoch": 0.23, + "learning_rate": 8.975535589131574e-06, + "loss": 0.7525, + "step": 7870 + }, + { + "epoch": 0.23, + "learning_rate": 8.975247032453815e-06, + "loss": 0.8644, + "step": 7871 + }, + { + "epoch": 0.23, + "learning_rate": 8.974958439783314e-06, + "loss": 0.7335, + "step": 7872 + }, + { + "epoch": 0.23, + "learning_rate": 8.974669811122683e-06, + "loss": 0.6932, + "step": 7873 + }, + { + "epoch": 0.23, + "learning_rate": 8.974381146474534e-06, + "loss": 0.9159, + "step": 7874 + }, + { + "epoch": 0.23, + "learning_rate": 8.97409244584148e-06, + "loss": 0.9587, + "step": 7875 + }, + { + "epoch": 0.23, + "learning_rate": 8.973803709226137e-06, + "loss": 0.7893, + "step": 7876 + }, + { + "epoch": 0.23, + "learning_rate": 8.973514936631116e-06, + "loss": 0.5031, + "step": 7877 + }, + { + "epoch": 0.23, + "learning_rate": 8.973226128059035e-06, + "loss": 0.869, + "step": 7878 + }, + { + "epoch": 0.23, + "learning_rate": 8.97293728351251e-06, + "loss": 0.7529, + "step": 7879 + }, + { + "epoch": 0.23, + "learning_rate": 8.972648402994154e-06, + "loss": 0.8267, + "step": 7880 + }, + { + "epoch": 0.23, + "learning_rate": 8.97235948650658e-06, + "loss": 0.7979, + "step": 7881 + }, + { + "epoch": 0.23, + "learning_rate": 8.972070534052408e-06, + "loss": 0.6854, + "step": 7882 + }, + { + "epoch": 0.23, + "learning_rate": 8.971781545634255e-06, + "loss": 0.6474, + "step": 7883 + }, + { + "epoch": 0.23, + "learning_rate": 8.971492521254731e-06, + "loss": 0.9295, + "step": 7884 + }, + { + "epoch": 0.23, + "learning_rate": 8.971203460916463e-06, + "loss": 0.8063, + "step": 7885 + }, + { + "epoch": 0.23, + "learning_rate": 8.970914364622057e-06, + "loss": 0.6156, + "step": 7886 + }, + { + "epoch": 0.23, + "learning_rate": 8.97062523237414e-06, + "loss": 0.7669, + "step": 7887 + }, + { + "epoch": 0.23, + "learning_rate": 8.970336064175324e-06, + "loss": 0.8517, + "step": 7888 + }, + { + "epoch": 0.23, + "learning_rate": 8.97004686002823e-06, + "loss": 0.6783, + "step": 7889 + }, + { + "epoch": 0.23, + "learning_rate": 8.969757619935475e-06, + "loss": 0.8706, + "step": 7890 + }, + { + "epoch": 0.23, + "learning_rate": 8.969468343899678e-06, + "loss": 0.6109, + "step": 7891 + }, + { + "epoch": 0.23, + "learning_rate": 8.96917903192346e-06, + "loss": 0.6673, + "step": 7892 + }, + { + "epoch": 0.23, + "learning_rate": 8.968889684009439e-06, + "loss": 0.9498, + "step": 7893 + }, + { + "epoch": 0.23, + "learning_rate": 8.968600300160234e-06, + "loss": 0.8609, + "step": 7894 + }, + { + "epoch": 0.23, + "learning_rate": 8.968310880378465e-06, + "loss": 0.7062, + "step": 7895 + }, + { + "epoch": 0.23, + "learning_rate": 8.968021424666757e-06, + "loss": 0.6891, + "step": 7896 + }, + { + "epoch": 0.23, + "learning_rate": 8.967731933027725e-06, + "loss": 0.6442, + "step": 7897 + }, + { + "epoch": 0.23, + "learning_rate": 8.967442405463992e-06, + "loss": 0.7504, + "step": 7898 + }, + { + "epoch": 0.23, + "learning_rate": 8.967152841978183e-06, + "loss": 0.5152, + "step": 7899 + }, + { + "epoch": 0.23, + "learning_rate": 8.966863242572914e-06, + "loss": 0.7025, + "step": 7900 + }, + { + "epoch": 0.23, + "learning_rate": 8.966573607250811e-06, + "loss": 0.9696, + "step": 7901 + }, + { + "epoch": 0.23, + "learning_rate": 8.966283936014495e-06, + "loss": 0.7613, + "step": 7902 + }, + { + "epoch": 0.23, + "learning_rate": 8.965994228866588e-06, + "loss": 0.7103, + "step": 7903 + }, + { + "epoch": 0.23, + "learning_rate": 8.965704485809717e-06, + "loss": 0.8473, + "step": 7904 + }, + { + "epoch": 0.23, + "learning_rate": 8.9654147068465e-06, + "loss": 0.6463, + "step": 7905 + }, + { + "epoch": 0.23, + "learning_rate": 8.965124891979562e-06, + "loss": 0.6843, + "step": 7906 + }, + { + "epoch": 0.23, + "learning_rate": 8.964835041211531e-06, + "loss": 1.0361, + "step": 7907 + }, + { + "epoch": 0.23, + "learning_rate": 8.964545154545027e-06, + "loss": 0.6038, + "step": 7908 + }, + { + "epoch": 0.23, + "learning_rate": 8.964255231982677e-06, + "loss": 0.7189, + "step": 7909 + }, + { + "epoch": 0.23, + "learning_rate": 8.963965273527105e-06, + "loss": 0.6874, + "step": 7910 + }, + { + "epoch": 0.23, + "learning_rate": 8.963675279180936e-06, + "loss": 0.8546, + "step": 7911 + }, + { + "epoch": 0.23, + "learning_rate": 8.963385248946797e-06, + "loss": 1.0959, + "step": 7912 + }, + { + "epoch": 0.23, + "learning_rate": 8.963095182827313e-06, + "loss": 0.6357, + "step": 7913 + }, + { + "epoch": 0.23, + "learning_rate": 8.96280508082511e-06, + "loss": 0.7177, + "step": 7914 + }, + { + "epoch": 0.23, + "learning_rate": 8.962514942942817e-06, + "loss": 0.4945, + "step": 7915 + }, + { + "epoch": 0.23, + "learning_rate": 8.962224769183058e-06, + "loss": 0.6766, + "step": 7916 + }, + { + "epoch": 0.23, + "learning_rate": 8.961934559548462e-06, + "loss": 0.919, + "step": 7917 + }, + { + "epoch": 0.23, + "learning_rate": 8.961644314041656e-06, + "loss": 0.7376, + "step": 7918 + }, + { + "epoch": 0.23, + "learning_rate": 8.961354032665268e-06, + "loss": 0.8571, + "step": 7919 + }, + { + "epoch": 0.23, + "learning_rate": 8.961063715421927e-06, + "loss": 0.7664, + "step": 7920 + }, + { + "epoch": 0.23, + "learning_rate": 8.96077336231426e-06, + "loss": 0.7628, + "step": 7921 + }, + { + "epoch": 0.23, + "learning_rate": 8.960482973344898e-06, + "loss": 0.9233, + "step": 7922 + }, + { + "epoch": 0.23, + "learning_rate": 8.960192548516469e-06, + "loss": 0.9586, + "step": 7923 + }, + { + "epoch": 0.23, + "learning_rate": 8.959902087831602e-06, + "loss": 0.9489, + "step": 7924 + }, + { + "epoch": 0.23, + "learning_rate": 8.95961159129293e-06, + "loss": 0.6786, + "step": 7925 + }, + { + "epoch": 0.23, + "learning_rate": 8.959321058903076e-06, + "loss": 0.8534, + "step": 7926 + }, + { + "epoch": 0.23, + "learning_rate": 8.959030490664679e-06, + "loss": 0.7661, + "step": 7927 + }, + { + "epoch": 0.23, + "learning_rate": 8.958739886580366e-06, + "loss": 0.769, + "step": 7928 + }, + { + "epoch": 0.23, + "learning_rate": 8.958449246652767e-06, + "loss": 0.8395, + "step": 7929 + }, + { + "epoch": 0.23, + "learning_rate": 8.958158570884516e-06, + "loss": 0.8131, + "step": 7930 + }, + { + "epoch": 0.23, + "learning_rate": 8.957867859278244e-06, + "loss": 0.8305, + "step": 7931 + }, + { + "epoch": 0.23, + "learning_rate": 8.957577111836583e-06, + "loss": 0.7927, + "step": 7932 + }, + { + "epoch": 0.23, + "learning_rate": 8.957286328562164e-06, + "loss": 0.7472, + "step": 7933 + }, + { + "epoch": 0.23, + "learning_rate": 8.956995509457623e-06, + "loss": 0.6023, + "step": 7934 + }, + { + "epoch": 0.23, + "learning_rate": 8.95670465452559e-06, + "loss": 0.723, + "step": 7935 + }, + { + "epoch": 0.23, + "learning_rate": 8.9564137637687e-06, + "loss": 1.0152, + "step": 7936 + }, + { + "epoch": 0.23, + "learning_rate": 8.95612283718959e-06, + "loss": 0.7437, + "step": 7937 + }, + { + "epoch": 0.23, + "learning_rate": 8.955831874790886e-06, + "loss": 0.8117, + "step": 7938 + }, + { + "epoch": 0.23, + "learning_rate": 8.95554087657523e-06, + "loss": 0.6509, + "step": 7939 + }, + { + "epoch": 0.23, + "learning_rate": 8.955249842545252e-06, + "loss": 0.7249, + "step": 7940 + }, + { + "epoch": 0.23, + "learning_rate": 8.954958772703592e-06, + "loss": 0.9051, + "step": 7941 + }, + { + "epoch": 0.23, + "learning_rate": 8.95466766705288e-06, + "loss": 0.6623, + "step": 7942 + }, + { + "epoch": 0.23, + "learning_rate": 8.954376525595754e-06, + "loss": 0.5121, + "step": 7943 + }, + { + "epoch": 0.23, + "learning_rate": 8.954085348334851e-06, + "loss": 0.7731, + "step": 7944 + }, + { + "epoch": 0.23, + "learning_rate": 8.953794135272807e-06, + "loss": 0.648, + "step": 7945 + }, + { + "epoch": 0.23, + "learning_rate": 8.953502886412258e-06, + "loss": 0.7224, + "step": 7946 + }, + { + "epoch": 0.23, + "learning_rate": 8.953211601755842e-06, + "loss": 0.863, + "step": 7947 + }, + { + "epoch": 0.23, + "learning_rate": 8.952920281306194e-06, + "loss": 0.8367, + "step": 7948 + }, + { + "epoch": 0.23, + "learning_rate": 8.952628925065955e-06, + "loss": 0.5887, + "step": 7949 + }, + { + "epoch": 0.23, + "learning_rate": 8.952337533037761e-06, + "loss": 0.6803, + "step": 7950 + }, + { + "epoch": 0.23, + "learning_rate": 8.952046105224251e-06, + "loss": 0.6822, + "step": 7951 + }, + { + "epoch": 0.23, + "learning_rate": 8.951754641628063e-06, + "loss": 0.9014, + "step": 7952 + }, + { + "epoch": 0.23, + "learning_rate": 8.951463142251836e-06, + "loss": 0.5933, + "step": 7953 + }, + { + "epoch": 0.23, + "learning_rate": 8.951171607098211e-06, + "loss": 0.8601, + "step": 7954 + }, + { + "epoch": 0.23, + "learning_rate": 8.950880036169824e-06, + "loss": 0.6036, + "step": 7955 + }, + { + "epoch": 0.23, + "learning_rate": 8.950588429469319e-06, + "loss": 0.7557, + "step": 7956 + }, + { + "epoch": 0.23, + "learning_rate": 8.950296786999333e-06, + "loss": 0.4903, + "step": 7957 + }, + { + "epoch": 0.23, + "learning_rate": 8.95000510876251e-06, + "loss": 1.2233, + "step": 7958 + }, + { + "epoch": 0.23, + "learning_rate": 8.949713394761488e-06, + "loss": 0.8818, + "step": 7959 + }, + { + "epoch": 0.23, + "learning_rate": 8.94942164499891e-06, + "loss": 0.7687, + "step": 7960 + }, + { + "epoch": 0.23, + "learning_rate": 8.949129859477414e-06, + "loss": 0.4845, + "step": 7961 + }, + { + "epoch": 0.23, + "learning_rate": 8.948838038199648e-06, + "loss": 0.6398, + "step": 7962 + }, + { + "epoch": 0.23, + "learning_rate": 8.94854618116825e-06, + "loss": 0.5634, + "step": 7963 + }, + { + "epoch": 0.23, + "learning_rate": 8.948254288385863e-06, + "loss": 0.7209, + "step": 7964 + }, + { + "epoch": 0.23, + "learning_rate": 8.94796235985513e-06, + "loss": 0.6962, + "step": 7965 + }, + { + "epoch": 0.23, + "learning_rate": 8.947670395578695e-06, + "loss": 0.7382, + "step": 7966 + }, + { + "epoch": 0.23, + "learning_rate": 8.9473783955592e-06, + "loss": 0.7864, + "step": 7967 + }, + { + "epoch": 0.23, + "learning_rate": 8.94708635979929e-06, + "loss": 0.7445, + "step": 7968 + }, + { + "epoch": 0.23, + "learning_rate": 8.94679428830161e-06, + "loss": 0.9388, + "step": 7969 + }, + { + "epoch": 0.23, + "learning_rate": 8.946502181068804e-06, + "loss": 0.919, + "step": 7970 + }, + { + "epoch": 0.23, + "learning_rate": 8.946210038103516e-06, + "loss": 0.8998, + "step": 7971 + }, + { + "epoch": 0.23, + "learning_rate": 8.94591785940839e-06, + "loss": 0.7451, + "step": 7972 + }, + { + "epoch": 0.23, + "learning_rate": 8.945625644986073e-06, + "loss": 0.6225, + "step": 7973 + }, + { + "epoch": 0.23, + "learning_rate": 8.945333394839212e-06, + "loss": 0.8395, + "step": 7974 + }, + { + "epoch": 0.23, + "learning_rate": 8.945041108970452e-06, + "loss": 0.8866, + "step": 7975 + }, + { + "epoch": 0.23, + "learning_rate": 8.944748787382436e-06, + "loss": 0.8346, + "step": 7976 + }, + { + "epoch": 0.23, + "learning_rate": 8.944456430077816e-06, + "loss": 0.8469, + "step": 7977 + }, + { + "epoch": 0.23, + "learning_rate": 8.944164037059238e-06, + "loss": 0.6801, + "step": 7978 + }, + { + "epoch": 0.23, + "learning_rate": 8.943871608329347e-06, + "loss": 0.5773, + "step": 7979 + }, + { + "epoch": 0.23, + "learning_rate": 8.943579143890792e-06, + "loss": 0.8162, + "step": 7980 + }, + { + "epoch": 0.23, + "learning_rate": 8.94328664374622e-06, + "loss": 1.043, + "step": 7981 + }, + { + "epoch": 0.23, + "learning_rate": 8.942994107898283e-06, + "loss": 0.9526, + "step": 7982 + }, + { + "epoch": 0.23, + "learning_rate": 8.942701536349625e-06, + "loss": 0.8303, + "step": 7983 + }, + { + "epoch": 0.23, + "learning_rate": 8.942408929102897e-06, + "loss": 0.8161, + "step": 7984 + }, + { + "epoch": 0.23, + "learning_rate": 8.94211628616075e-06, + "loss": 0.9219, + "step": 7985 + }, + { + "epoch": 0.23, + "learning_rate": 8.941823607525832e-06, + "loss": 0.6889, + "step": 7986 + }, + { + "epoch": 0.23, + "learning_rate": 8.941530893200791e-06, + "loss": 0.5503, + "step": 7987 + }, + { + "epoch": 0.23, + "learning_rate": 8.941238143188283e-06, + "loss": 1.0663, + "step": 7988 + }, + { + "epoch": 0.23, + "learning_rate": 8.940945357490952e-06, + "loss": 0.764, + "step": 7989 + }, + { + "epoch": 0.23, + "learning_rate": 8.940652536111453e-06, + "loss": 0.9563, + "step": 7990 + }, + { + "epoch": 0.23, + "learning_rate": 8.940359679052436e-06, + "loss": 0.7655, + "step": 7991 + }, + { + "epoch": 0.23, + "learning_rate": 8.940066786316553e-06, + "loss": 0.863, + "step": 7992 + }, + { + "epoch": 0.23, + "learning_rate": 8.939773857906455e-06, + "loss": 0.7225, + "step": 7993 + }, + { + "epoch": 0.23, + "learning_rate": 8.939480893824796e-06, + "loss": 0.7934, + "step": 7994 + }, + { + "epoch": 0.23, + "learning_rate": 8.939187894074227e-06, + "loss": 0.5041, + "step": 7995 + }, + { + "epoch": 0.23, + "learning_rate": 8.9388948586574e-06, + "loss": 0.7845, + "step": 7996 + }, + { + "epoch": 0.23, + "learning_rate": 8.938601787576971e-06, + "loss": 0.8179, + "step": 7997 + }, + { + "epoch": 0.23, + "learning_rate": 8.938308680835592e-06, + "loss": 0.7752, + "step": 7998 + }, + { + "epoch": 0.24, + "learning_rate": 8.938015538435918e-06, + "loss": 0.6241, + "step": 7999 + }, + { + "epoch": 0.24, + "learning_rate": 8.9377223603806e-06, + "loss": 0.8244, + "step": 8000 + }, + { + "epoch": 0.24, + "learning_rate": 8.937429146672296e-06, + "loss": 0.807, + "step": 8001 + }, + { + "epoch": 0.24, + "learning_rate": 8.93713589731366e-06, + "loss": 0.8021, + "step": 8002 + }, + { + "epoch": 0.24, + "learning_rate": 8.936842612307346e-06, + "loss": 0.7856, + "step": 8003 + }, + { + "epoch": 0.24, + "learning_rate": 8.93654929165601e-06, + "loss": 0.5097, + "step": 8004 + }, + { + "epoch": 0.24, + "learning_rate": 8.936255935362308e-06, + "loss": 0.829, + "step": 8005 + }, + { + "epoch": 0.24, + "learning_rate": 8.935962543428895e-06, + "loss": 0.8922, + "step": 8006 + }, + { + "epoch": 0.24, + "learning_rate": 8.93566911585843e-06, + "loss": 0.8995, + "step": 8007 + }, + { + "epoch": 0.24, + "learning_rate": 8.935375652653566e-06, + "loss": 0.7722, + "step": 8008 + }, + { + "epoch": 0.24, + "learning_rate": 8.935082153816966e-06, + "loss": 0.7043, + "step": 8009 + }, + { + "epoch": 0.24, + "learning_rate": 8.93478861935128e-06, + "loss": 0.8238, + "step": 8010 + }, + { + "epoch": 0.24, + "learning_rate": 8.93449504925917e-06, + "loss": 0.6632, + "step": 8011 + }, + { + "epoch": 0.24, + "learning_rate": 8.934201443543295e-06, + "loss": 0.4941, + "step": 8012 + }, + { + "epoch": 0.24, + "learning_rate": 8.93390780220631e-06, + "loss": 0.7831, + "step": 8013 + }, + { + "epoch": 0.24, + "learning_rate": 8.933614125250877e-06, + "loss": 0.958, + "step": 8014 + }, + { + "epoch": 0.24, + "learning_rate": 8.933320412679652e-06, + "loss": 0.6898, + "step": 8015 + }, + { + "epoch": 0.24, + "learning_rate": 8.933026664495297e-06, + "loss": 0.5632, + "step": 8016 + }, + { + "epoch": 0.24, + "learning_rate": 8.93273288070047e-06, + "loss": 0.7, + "step": 8017 + }, + { + "epoch": 0.24, + "learning_rate": 8.932439061297832e-06, + "loss": 0.5269, + "step": 8018 + }, + { + "epoch": 0.24, + "learning_rate": 8.932145206290041e-06, + "loss": 0.6708, + "step": 8019 + }, + { + "epoch": 0.24, + "learning_rate": 8.931851315679763e-06, + "loss": 0.6867, + "step": 8020 + }, + { + "epoch": 0.24, + "learning_rate": 8.931557389469652e-06, + "loss": 0.8055, + "step": 8021 + }, + { + "epoch": 0.24, + "learning_rate": 8.931263427662374e-06, + "loss": 0.9753, + "step": 8022 + }, + { + "epoch": 0.24, + "learning_rate": 8.93096943026059e-06, + "loss": 0.7682, + "step": 8023 + }, + { + "epoch": 0.24, + "learning_rate": 8.930675397266959e-06, + "loss": 0.6886, + "step": 8024 + }, + { + "epoch": 0.24, + "learning_rate": 8.930381328684147e-06, + "loss": 0.8024, + "step": 8025 + }, + { + "epoch": 0.24, + "learning_rate": 8.930087224514814e-06, + "loss": 0.6482, + "step": 8026 + }, + { + "epoch": 0.24, + "learning_rate": 8.929793084761624e-06, + "loss": 0.9315, + "step": 8027 + }, + { + "epoch": 0.24, + "learning_rate": 8.929498909427242e-06, + "loss": 0.8212, + "step": 8028 + }, + { + "epoch": 0.24, + "learning_rate": 8.929204698514326e-06, + "loss": 0.775, + "step": 8029 + }, + { + "epoch": 0.24, + "learning_rate": 8.928910452025545e-06, + "loss": 0.819, + "step": 8030 + }, + { + "epoch": 0.24, + "learning_rate": 8.928616169963563e-06, + "loss": 0.6026, + "step": 8031 + }, + { + "epoch": 0.24, + "learning_rate": 8.928321852331041e-06, + "loss": 0.8423, + "step": 8032 + }, + { + "epoch": 0.24, + "learning_rate": 8.928027499130648e-06, + "loss": 0.9963, + "step": 8033 + }, + { + "epoch": 0.24, + "learning_rate": 8.927733110365045e-06, + "loss": 0.7246, + "step": 8034 + }, + { + "epoch": 0.24, + "learning_rate": 8.9274386860369e-06, + "loss": 0.6309, + "step": 8035 + }, + { + "epoch": 0.24, + "learning_rate": 8.927144226148878e-06, + "loss": 0.7791, + "step": 8036 + }, + { + "epoch": 0.24, + "learning_rate": 8.926849730703646e-06, + "loss": 0.7979, + "step": 8037 + }, + { + "epoch": 0.24, + "learning_rate": 8.926555199703869e-06, + "loss": 0.9202, + "step": 8038 + }, + { + "epoch": 0.24, + "learning_rate": 8.926260633152215e-06, + "loss": 0.9278, + "step": 8039 + }, + { + "epoch": 0.24, + "learning_rate": 8.925966031051351e-06, + "loss": 0.7242, + "step": 8040 + }, + { + "epoch": 0.24, + "learning_rate": 8.925671393403943e-06, + "loss": 0.6545, + "step": 8041 + }, + { + "epoch": 0.24, + "learning_rate": 8.925376720212662e-06, + "loss": 0.7145, + "step": 8042 + }, + { + "epoch": 0.24, + "learning_rate": 8.92508201148017e-06, + "loss": 0.9261, + "step": 8043 + }, + { + "epoch": 0.24, + "learning_rate": 8.924787267209143e-06, + "loss": 0.7671, + "step": 8044 + }, + { + "epoch": 0.24, + "learning_rate": 8.924492487402243e-06, + "loss": 1.0345, + "step": 8045 + }, + { + "epoch": 0.24, + "learning_rate": 8.924197672062143e-06, + "loss": 0.8132, + "step": 8046 + }, + { + "epoch": 0.24, + "learning_rate": 8.92390282119151e-06, + "loss": 0.7648, + "step": 8047 + }, + { + "epoch": 0.24, + "learning_rate": 8.923607934793017e-06, + "loss": 0.8558, + "step": 8048 + }, + { + "epoch": 0.24, + "learning_rate": 8.92331301286933e-06, + "loss": 0.7642, + "step": 8049 + }, + { + "epoch": 0.24, + "learning_rate": 8.92301805542312e-06, + "loss": 0.634, + "step": 8050 + }, + { + "epoch": 0.24, + "learning_rate": 8.922723062457062e-06, + "loss": 0.7554, + "step": 8051 + }, + { + "epoch": 0.24, + "learning_rate": 8.92242803397382e-06, + "loss": 0.7492, + "step": 8052 + }, + { + "epoch": 0.24, + "learning_rate": 8.922132969976071e-06, + "loss": 0.7068, + "step": 8053 + }, + { + "epoch": 0.24, + "learning_rate": 8.921837870466482e-06, + "loss": 0.5782, + "step": 8054 + }, + { + "epoch": 0.24, + "learning_rate": 8.92154273544773e-06, + "loss": 0.6398, + "step": 8055 + }, + { + "epoch": 0.24, + "learning_rate": 8.921247564922482e-06, + "loss": 0.6256, + "step": 8056 + }, + { + "epoch": 0.24, + "learning_rate": 8.920952358893415e-06, + "loss": 1.0972, + "step": 8057 + }, + { + "epoch": 0.24, + "learning_rate": 8.9206571173632e-06, + "loss": 0.8507, + "step": 8058 + }, + { + "epoch": 0.24, + "learning_rate": 8.920361840334508e-06, + "loss": 0.8583, + "step": 8059 + }, + { + "epoch": 0.24, + "learning_rate": 8.920066527810016e-06, + "loss": 1.0064, + "step": 8060 + }, + { + "epoch": 0.24, + "learning_rate": 8.919771179792395e-06, + "loss": 0.7821, + "step": 8061 + }, + { + "epoch": 0.24, + "learning_rate": 8.919475796284323e-06, + "loss": 0.7596, + "step": 8062 + }, + { + "epoch": 0.24, + "learning_rate": 8.91918037728847e-06, + "loss": 0.5909, + "step": 8063 + }, + { + "epoch": 0.24, + "learning_rate": 8.918884922807513e-06, + "loss": 0.6882, + "step": 8064 + }, + { + "epoch": 0.24, + "learning_rate": 8.918589432844127e-06, + "loss": 0.7571, + "step": 8065 + }, + { + "epoch": 0.24, + "learning_rate": 8.918293907400987e-06, + "loss": 0.7624, + "step": 8066 + }, + { + "epoch": 0.24, + "learning_rate": 8.91799834648077e-06, + "loss": 0.66, + "step": 8067 + }, + { + "epoch": 0.24, + "learning_rate": 8.91770275008615e-06, + "loss": 0.6213, + "step": 8068 + }, + { + "epoch": 0.24, + "learning_rate": 8.917407118219805e-06, + "loss": 0.7225, + "step": 8069 + }, + { + "epoch": 0.24, + "learning_rate": 8.917111450884413e-06, + "loss": 0.5317, + "step": 8070 + }, + { + "epoch": 0.24, + "learning_rate": 8.916815748082647e-06, + "loss": 0.5573, + "step": 8071 + }, + { + "epoch": 0.24, + "learning_rate": 8.916520009817186e-06, + "loss": 1.1381, + "step": 8072 + }, + { + "epoch": 0.24, + "learning_rate": 8.916224236090712e-06, + "loss": 0.5347, + "step": 8073 + }, + { + "epoch": 0.24, + "learning_rate": 8.915928426905895e-06, + "loss": 0.7884, + "step": 8074 + }, + { + "epoch": 0.24, + "learning_rate": 8.915632582265419e-06, + "loss": 0.6022, + "step": 8075 + }, + { + "epoch": 0.24, + "learning_rate": 8.915336702171962e-06, + "loss": 0.8229, + "step": 8076 + }, + { + "epoch": 0.24, + "learning_rate": 8.915040786628202e-06, + "loss": 0.8435, + "step": 8077 + }, + { + "epoch": 0.24, + "learning_rate": 8.91474483563682e-06, + "loss": 0.403, + "step": 8078 + }, + { + "epoch": 0.24, + "learning_rate": 8.914448849200491e-06, + "loss": 0.6852, + "step": 8079 + }, + { + "epoch": 0.24, + "learning_rate": 8.9141528273219e-06, + "loss": 0.7903, + "step": 8080 + }, + { + "epoch": 0.24, + "learning_rate": 8.913856770003724e-06, + "loss": 0.8316, + "step": 8081 + }, + { + "epoch": 0.24, + "learning_rate": 8.913560677248647e-06, + "loss": 0.6221, + "step": 8082 + }, + { + "epoch": 0.24, + "learning_rate": 8.913264549059346e-06, + "loss": 0.7271, + "step": 8083 + }, + { + "epoch": 0.24, + "learning_rate": 8.912968385438506e-06, + "loss": 0.58, + "step": 8084 + }, + { + "epoch": 0.24, + "learning_rate": 8.912672186388802e-06, + "loss": 0.8854, + "step": 8085 + }, + { + "epoch": 0.24, + "learning_rate": 8.912375951912924e-06, + "loss": 0.6465, + "step": 8086 + }, + { + "epoch": 0.24, + "learning_rate": 8.91207968201355e-06, + "loss": 0.9594, + "step": 8087 + }, + { + "epoch": 0.24, + "learning_rate": 8.911783376693363e-06, + "loss": 0.7491, + "step": 8088 + }, + { + "epoch": 0.24, + "learning_rate": 8.911487035955045e-06, + "loss": 0.8978, + "step": 8089 + }, + { + "epoch": 0.24, + "learning_rate": 8.911190659801281e-06, + "loss": 0.8496, + "step": 8090 + }, + { + "epoch": 0.24, + "learning_rate": 8.910894248234752e-06, + "loss": 0.8166, + "step": 8091 + }, + { + "epoch": 0.24, + "learning_rate": 8.910597801258144e-06, + "loss": 0.6974, + "step": 8092 + }, + { + "epoch": 0.24, + "learning_rate": 8.910301318874141e-06, + "loss": 0.8431, + "step": 8093 + }, + { + "epoch": 0.24, + "learning_rate": 8.910004801085425e-06, + "loss": 0.6418, + "step": 8094 + }, + { + "epoch": 0.24, + "learning_rate": 8.909708247894684e-06, + "loss": 0.6591, + "step": 8095 + }, + { + "epoch": 0.24, + "learning_rate": 8.909411659304601e-06, + "loss": 0.8618, + "step": 8096 + }, + { + "epoch": 0.24, + "learning_rate": 8.90911503531786e-06, + "loss": 0.9777, + "step": 8097 + }, + { + "epoch": 0.24, + "learning_rate": 8.908818375937152e-06, + "loss": 0.9946, + "step": 8098 + }, + { + "epoch": 0.24, + "learning_rate": 8.908521681165157e-06, + "loss": 0.71, + "step": 8099 + }, + { + "epoch": 0.24, + "learning_rate": 8.908224951004566e-06, + "loss": 0.6874, + "step": 8100 + }, + { + "epoch": 0.24, + "learning_rate": 8.90792818545806e-06, + "loss": 0.8558, + "step": 8101 + }, + { + "epoch": 0.24, + "learning_rate": 8.907631384528332e-06, + "loss": 0.6798, + "step": 8102 + }, + { + "epoch": 0.24, + "learning_rate": 8.907334548218067e-06, + "loss": 0.8622, + "step": 8103 + }, + { + "epoch": 0.24, + "learning_rate": 8.90703767652995e-06, + "loss": 0.6335, + "step": 8104 + }, + { + "epoch": 0.24, + "learning_rate": 8.906740769466676e-06, + "loss": 0.5346, + "step": 8105 + }, + { + "epoch": 0.24, + "learning_rate": 8.906443827030924e-06, + "loss": 0.777, + "step": 8106 + }, + { + "epoch": 0.24, + "learning_rate": 8.90614684922539e-06, + "loss": 0.6767, + "step": 8107 + }, + { + "epoch": 0.24, + "learning_rate": 8.905849836052759e-06, + "loss": 0.7898, + "step": 8108 + }, + { + "epoch": 0.24, + "learning_rate": 8.905552787515722e-06, + "loss": 0.6347, + "step": 8109 + }, + { + "epoch": 0.24, + "learning_rate": 8.905255703616969e-06, + "loss": 0.6247, + "step": 8110 + }, + { + "epoch": 0.24, + "learning_rate": 8.904958584359186e-06, + "loss": 0.6015, + "step": 8111 + }, + { + "epoch": 0.24, + "learning_rate": 8.904661429745067e-06, + "loss": 0.7388, + "step": 8112 + }, + { + "epoch": 0.24, + "learning_rate": 8.904364239777303e-06, + "loss": 0.7339, + "step": 8113 + }, + { + "epoch": 0.24, + "learning_rate": 8.904067014458581e-06, + "loss": 0.7439, + "step": 8114 + }, + { + "epoch": 0.24, + "learning_rate": 8.903769753791596e-06, + "loss": 0.7273, + "step": 8115 + }, + { + "epoch": 0.24, + "learning_rate": 8.903472457779036e-06, + "loss": 0.7612, + "step": 8116 + }, + { + "epoch": 0.24, + "learning_rate": 8.903175126423597e-06, + "loss": 0.4779, + "step": 8117 + }, + { + "epoch": 0.24, + "learning_rate": 8.902877759727967e-06, + "loss": 0.7798, + "step": 8118 + }, + { + "epoch": 0.24, + "learning_rate": 8.902580357694841e-06, + "loss": 0.7261, + "step": 8119 + }, + { + "epoch": 0.24, + "learning_rate": 8.90228292032691e-06, + "loss": 0.9789, + "step": 8120 + }, + { + "epoch": 0.24, + "learning_rate": 8.90198544762687e-06, + "loss": 0.7875, + "step": 8121 + }, + { + "epoch": 0.24, + "learning_rate": 8.90168793959741e-06, + "loss": 0.7544, + "step": 8122 + }, + { + "epoch": 0.24, + "learning_rate": 8.901390396241227e-06, + "loss": 0.8644, + "step": 8123 + }, + { + "epoch": 0.24, + "learning_rate": 8.901092817561015e-06, + "loss": 0.8133, + "step": 8124 + }, + { + "epoch": 0.24, + "learning_rate": 8.900795203559467e-06, + "loss": 0.8006, + "step": 8125 + }, + { + "epoch": 0.24, + "learning_rate": 8.900497554239277e-06, + "loss": 0.6966, + "step": 8126 + }, + { + "epoch": 0.24, + "learning_rate": 8.900199869603144e-06, + "loss": 0.538, + "step": 8127 + }, + { + "epoch": 0.24, + "learning_rate": 8.899902149653757e-06, + "loss": 0.7685, + "step": 8128 + }, + { + "epoch": 0.24, + "learning_rate": 8.899604394393815e-06, + "loss": 0.9013, + "step": 8129 + }, + { + "epoch": 0.24, + "learning_rate": 8.899306603826016e-06, + "loss": 0.7526, + "step": 8130 + }, + { + "epoch": 0.24, + "learning_rate": 8.899008777953052e-06, + "loss": 0.5843, + "step": 8131 + }, + { + "epoch": 0.24, + "learning_rate": 8.898710916777624e-06, + "loss": 0.6333, + "step": 8132 + }, + { + "epoch": 0.24, + "learning_rate": 8.898413020302426e-06, + "loss": 0.9576, + "step": 8133 + }, + { + "epoch": 0.24, + "learning_rate": 8.898115088530155e-06, + "loss": 0.8177, + "step": 8134 + }, + { + "epoch": 0.24, + "learning_rate": 8.89781712146351e-06, + "loss": 0.7362, + "step": 8135 + }, + { + "epoch": 0.24, + "learning_rate": 8.897519119105188e-06, + "loss": 0.835, + "step": 8136 + }, + { + "epoch": 0.24, + "learning_rate": 8.897221081457889e-06, + "loss": 0.7353, + "step": 8137 + }, + { + "epoch": 0.24, + "learning_rate": 8.896923008524308e-06, + "loss": 0.7713, + "step": 8138 + }, + { + "epoch": 0.24, + "learning_rate": 8.896624900307147e-06, + "loss": 0.8886, + "step": 8139 + }, + { + "epoch": 0.24, + "learning_rate": 8.896326756809104e-06, + "loss": 1.1897, + "step": 8140 + }, + { + "epoch": 0.24, + "learning_rate": 8.896028578032879e-06, + "loss": 0.8235, + "step": 8141 + }, + { + "epoch": 0.24, + "learning_rate": 8.89573036398117e-06, + "loss": 0.5635, + "step": 8142 + }, + { + "epoch": 0.24, + "learning_rate": 8.895432114656677e-06, + "loss": 0.86, + "step": 8143 + }, + { + "epoch": 0.24, + "learning_rate": 8.895133830062104e-06, + "loss": 0.6764, + "step": 8144 + }, + { + "epoch": 0.24, + "learning_rate": 8.894835510200147e-06, + "loss": 0.5682, + "step": 8145 + }, + { + "epoch": 0.24, + "learning_rate": 8.89453715507351e-06, + "loss": 1.261, + "step": 8146 + }, + { + "epoch": 0.24, + "learning_rate": 8.894238764684895e-06, + "loss": 1.0593, + "step": 8147 + }, + { + "epoch": 0.24, + "learning_rate": 8.893940339037001e-06, + "loss": 0.5231, + "step": 8148 + }, + { + "epoch": 0.24, + "learning_rate": 8.893641878132534e-06, + "loss": 0.6986, + "step": 8149 + }, + { + "epoch": 0.24, + "learning_rate": 8.893343381974193e-06, + "loss": 0.8772, + "step": 8150 + }, + { + "epoch": 0.24, + "learning_rate": 8.89304485056468e-06, + "loss": 0.9929, + "step": 8151 + }, + { + "epoch": 0.24, + "learning_rate": 8.8927462839067e-06, + "loss": 0.6298, + "step": 8152 + }, + { + "epoch": 0.24, + "learning_rate": 8.892447682002957e-06, + "loss": 0.726, + "step": 8153 + }, + { + "epoch": 0.24, + "learning_rate": 8.892149044856153e-06, + "loss": 0.6507, + "step": 8154 + }, + { + "epoch": 0.24, + "learning_rate": 8.891850372468991e-06, + "loss": 0.6932, + "step": 8155 + }, + { + "epoch": 0.24, + "learning_rate": 8.891551664844177e-06, + "loss": 0.692, + "step": 8156 + }, + { + "epoch": 0.24, + "learning_rate": 8.891252921984414e-06, + "loss": 0.9397, + "step": 8157 + }, + { + "epoch": 0.24, + "learning_rate": 8.89095414389241e-06, + "loss": 0.8466, + "step": 8158 + }, + { + "epoch": 0.24, + "learning_rate": 8.890655330570867e-06, + "loss": 0.6948, + "step": 8159 + }, + { + "epoch": 0.24, + "learning_rate": 8.890356482022493e-06, + "loss": 0.6186, + "step": 8160 + }, + { + "epoch": 0.24, + "learning_rate": 8.890057598249991e-06, + "loss": 0.7234, + "step": 8161 + }, + { + "epoch": 0.24, + "learning_rate": 8.889758679256069e-06, + "loss": 0.6668, + "step": 8162 + }, + { + "epoch": 0.24, + "learning_rate": 8.889459725043435e-06, + "loss": 1.1272, + "step": 8163 + }, + { + "epoch": 0.24, + "learning_rate": 8.88916073561479e-06, + "loss": 0.7329, + "step": 8164 + }, + { + "epoch": 0.24, + "learning_rate": 8.88886171097285e-06, + "loss": 0.8272, + "step": 8165 + }, + { + "epoch": 0.24, + "learning_rate": 8.888562651120314e-06, + "loss": 0.8134, + "step": 8166 + }, + { + "epoch": 0.24, + "learning_rate": 8.888263556059892e-06, + "loss": 0.7231, + "step": 8167 + }, + { + "epoch": 0.24, + "learning_rate": 8.887964425794298e-06, + "loss": 0.6093, + "step": 8168 + }, + { + "epoch": 0.24, + "learning_rate": 8.887665260326232e-06, + "loss": 0.9045, + "step": 8169 + }, + { + "epoch": 0.24, + "learning_rate": 8.887366059658408e-06, + "loss": 0.6962, + "step": 8170 + }, + { + "epoch": 0.24, + "learning_rate": 8.887066823793533e-06, + "loss": 0.715, + "step": 8171 + }, + { + "epoch": 0.24, + "learning_rate": 8.886767552734317e-06, + "loss": 0.748, + "step": 8172 + }, + { + "epoch": 0.24, + "learning_rate": 8.88646824648347e-06, + "loss": 0.499, + "step": 8173 + }, + { + "epoch": 0.24, + "learning_rate": 8.8861689050437e-06, + "loss": 0.8067, + "step": 8174 + }, + { + "epoch": 0.24, + "learning_rate": 8.88586952841772e-06, + "loss": 0.6676, + "step": 8175 + }, + { + "epoch": 0.24, + "learning_rate": 8.88557011660824e-06, + "loss": 0.7021, + "step": 8176 + }, + { + "epoch": 0.24, + "learning_rate": 8.885270669617969e-06, + "loss": 1.0486, + "step": 8177 + }, + { + "epoch": 0.24, + "learning_rate": 8.884971187449619e-06, + "loss": 0.9549, + "step": 8178 + }, + { + "epoch": 0.24, + "learning_rate": 8.884671670105902e-06, + "loss": 0.5219, + "step": 8179 + }, + { + "epoch": 0.24, + "learning_rate": 8.884372117589533e-06, + "loss": 0.8962, + "step": 8180 + }, + { + "epoch": 0.24, + "learning_rate": 8.884072529903217e-06, + "loss": 0.7872, + "step": 8181 + }, + { + "epoch": 0.24, + "learning_rate": 8.883772907049675e-06, + "loss": 1.006, + "step": 8182 + }, + { + "epoch": 0.24, + "learning_rate": 8.883473249031613e-06, + "loss": 0.7549, + "step": 8183 + }, + { + "epoch": 0.24, + "learning_rate": 8.883173555851747e-06, + "loss": 0.6596, + "step": 8184 + }, + { + "epoch": 0.24, + "learning_rate": 8.88287382751279e-06, + "loss": 0.5028, + "step": 8185 + }, + { + "epoch": 0.24, + "learning_rate": 8.882574064017458e-06, + "loss": 0.9462, + "step": 8186 + }, + { + "epoch": 0.24, + "learning_rate": 8.882274265368462e-06, + "loss": 0.7096, + "step": 8187 + }, + { + "epoch": 0.24, + "learning_rate": 8.881974431568519e-06, + "loss": 0.6091, + "step": 8188 + }, + { + "epoch": 0.24, + "learning_rate": 8.88167456262034e-06, + "loss": 0.8651, + "step": 8189 + }, + { + "epoch": 0.24, + "learning_rate": 8.881374658526644e-06, + "loss": 0.6115, + "step": 8190 + }, + { + "epoch": 0.24, + "learning_rate": 8.881074719290144e-06, + "loss": 0.6857, + "step": 8191 + }, + { + "epoch": 0.24, + "learning_rate": 8.880774744913558e-06, + "loss": 0.7775, + "step": 8192 + }, + { + "epoch": 0.24, + "learning_rate": 8.880474735399598e-06, + "loss": 0.8166, + "step": 8193 + }, + { + "epoch": 0.24, + "learning_rate": 8.880174690750987e-06, + "loss": 0.7301, + "step": 8194 + }, + { + "epoch": 0.24, + "learning_rate": 8.879874610970433e-06, + "loss": 0.7995, + "step": 8195 + }, + { + "epoch": 0.24, + "learning_rate": 8.87957449606066e-06, + "loss": 0.549, + "step": 8196 + }, + { + "epoch": 0.24, + "learning_rate": 8.879274346024384e-06, + "loss": 0.8288, + "step": 8197 + }, + { + "epoch": 0.24, + "learning_rate": 8.878974160864321e-06, + "loss": 0.7787, + "step": 8198 + }, + { + "epoch": 0.24, + "learning_rate": 8.878673940583189e-06, + "loss": 0.5427, + "step": 8199 + }, + { + "epoch": 0.24, + "learning_rate": 8.878373685183707e-06, + "loss": 0.6768, + "step": 8200 + }, + { + "epoch": 0.24, + "learning_rate": 8.878073394668593e-06, + "loss": 0.8107, + "step": 8201 + }, + { + "epoch": 0.24, + "learning_rate": 8.877773069040566e-06, + "loss": 0.7372, + "step": 8202 + }, + { + "epoch": 0.24, + "learning_rate": 8.877472708302347e-06, + "loss": 0.5918, + "step": 8203 + }, + { + "epoch": 0.24, + "learning_rate": 8.877172312456651e-06, + "loss": 0.7949, + "step": 8204 + }, + { + "epoch": 0.24, + "learning_rate": 8.876871881506204e-06, + "loss": 0.6023, + "step": 8205 + }, + { + "epoch": 0.24, + "learning_rate": 8.876571415453723e-06, + "loss": 0.9538, + "step": 8206 + }, + { + "epoch": 0.24, + "learning_rate": 8.876270914301925e-06, + "loss": 0.6908, + "step": 8207 + }, + { + "epoch": 0.24, + "learning_rate": 8.875970378053538e-06, + "loss": 0.7849, + "step": 8208 + }, + { + "epoch": 0.24, + "learning_rate": 8.875669806711278e-06, + "loss": 0.658, + "step": 8209 + }, + { + "epoch": 0.24, + "learning_rate": 8.875369200277867e-06, + "loss": 0.7699, + "step": 8210 + }, + { + "epoch": 0.24, + "learning_rate": 8.875068558756027e-06, + "loss": 0.8968, + "step": 8211 + }, + { + "epoch": 0.24, + "learning_rate": 8.874767882148483e-06, + "loss": 0.9972, + "step": 8212 + }, + { + "epoch": 0.24, + "learning_rate": 8.874467170457955e-06, + "loss": 0.6035, + "step": 8213 + }, + { + "epoch": 0.24, + "learning_rate": 8.874166423687165e-06, + "loss": 0.7179, + "step": 8214 + }, + { + "epoch": 0.24, + "learning_rate": 8.873865641838837e-06, + "loss": 1.0551, + "step": 8215 + }, + { + "epoch": 0.24, + "learning_rate": 8.873564824915693e-06, + "loss": 0.9978, + "step": 8216 + }, + { + "epoch": 0.24, + "learning_rate": 8.873263972920458e-06, + "loss": 0.7461, + "step": 8217 + }, + { + "epoch": 0.24, + "learning_rate": 8.872963085855858e-06, + "loss": 0.7425, + "step": 8218 + }, + { + "epoch": 0.24, + "learning_rate": 8.872662163724613e-06, + "loss": 0.9291, + "step": 8219 + }, + { + "epoch": 0.24, + "learning_rate": 8.87236120652945e-06, + "loss": 0.9339, + "step": 8220 + }, + { + "epoch": 0.24, + "learning_rate": 8.872060214273094e-06, + "loss": 0.7091, + "step": 8221 + }, + { + "epoch": 0.24, + "learning_rate": 8.871759186958269e-06, + "loss": 0.9082, + "step": 8222 + }, + { + "epoch": 0.24, + "learning_rate": 8.871458124587703e-06, + "loss": 0.8997, + "step": 8223 + }, + { + "epoch": 0.24, + "learning_rate": 8.87115702716412e-06, + "loss": 0.8878, + "step": 8224 + }, + { + "epoch": 0.24, + "learning_rate": 8.870855894690245e-06, + "loss": 0.6512, + "step": 8225 + }, + { + "epoch": 0.24, + "learning_rate": 8.870554727168807e-06, + "loss": 0.6811, + "step": 8226 + }, + { + "epoch": 0.24, + "learning_rate": 8.870253524602533e-06, + "loss": 0.823, + "step": 8227 + }, + { + "epoch": 0.24, + "learning_rate": 8.869952286994148e-06, + "loss": 0.9585, + "step": 8228 + }, + { + "epoch": 0.24, + "learning_rate": 8.86965101434638e-06, + "loss": 0.6773, + "step": 8229 + }, + { + "epoch": 0.24, + "learning_rate": 8.869349706661958e-06, + "loss": 0.6854, + "step": 8230 + }, + { + "epoch": 0.24, + "learning_rate": 8.869048363943609e-06, + "loss": 0.5969, + "step": 8231 + }, + { + "epoch": 0.24, + "learning_rate": 8.868746986194061e-06, + "loss": 0.5897, + "step": 8232 + }, + { + "epoch": 0.24, + "learning_rate": 8.868445573416046e-06, + "loss": 0.6261, + "step": 8233 + }, + { + "epoch": 0.24, + "learning_rate": 8.868144125612288e-06, + "loss": 0.63, + "step": 8234 + }, + { + "epoch": 0.24, + "learning_rate": 8.867842642785521e-06, + "loss": 0.6332, + "step": 8235 + }, + { + "epoch": 0.24, + "learning_rate": 8.867541124938473e-06, + "loss": 1.0917, + "step": 8236 + }, + { + "epoch": 0.24, + "learning_rate": 8.867239572073871e-06, + "loss": 0.8312, + "step": 8237 + }, + { + "epoch": 0.24, + "learning_rate": 8.86693798419445e-06, + "loss": 0.671, + "step": 8238 + }, + { + "epoch": 0.24, + "learning_rate": 8.866636361302938e-06, + "loss": 0.7673, + "step": 8239 + }, + { + "epoch": 0.24, + "learning_rate": 8.866334703402067e-06, + "loss": 0.8832, + "step": 8240 + }, + { + "epoch": 0.24, + "learning_rate": 8.866033010494569e-06, + "loss": 0.8732, + "step": 8241 + }, + { + "epoch": 0.24, + "learning_rate": 8.865731282583171e-06, + "loss": 1.0259, + "step": 8242 + }, + { + "epoch": 0.24, + "learning_rate": 8.865429519670611e-06, + "loss": 0.7914, + "step": 8243 + }, + { + "epoch": 0.24, + "learning_rate": 8.865127721759618e-06, + "loss": 0.8269, + "step": 8244 + }, + { + "epoch": 0.24, + "learning_rate": 8.864825888852926e-06, + "loss": 0.7147, + "step": 8245 + }, + { + "epoch": 0.24, + "learning_rate": 8.864524020953266e-06, + "loss": 0.8585, + "step": 8246 + }, + { + "epoch": 0.24, + "learning_rate": 8.864222118063373e-06, + "loss": 0.8407, + "step": 8247 + }, + { + "epoch": 0.24, + "learning_rate": 8.863920180185978e-06, + "loss": 0.5614, + "step": 8248 + }, + { + "epoch": 0.24, + "learning_rate": 8.863618207323818e-06, + "loss": 0.7636, + "step": 8249 + }, + { + "epoch": 0.24, + "learning_rate": 8.863316199479626e-06, + "loss": 0.7675, + "step": 8250 + }, + { + "epoch": 0.24, + "learning_rate": 8.863014156656136e-06, + "loss": 0.8458, + "step": 8251 + }, + { + "epoch": 0.24, + "learning_rate": 8.862712078856082e-06, + "loss": 0.8943, + "step": 8252 + }, + { + "epoch": 0.24, + "learning_rate": 8.8624099660822e-06, + "loss": 0.7016, + "step": 8253 + }, + { + "epoch": 0.24, + "learning_rate": 8.862107818337226e-06, + "loss": 0.7872, + "step": 8254 + }, + { + "epoch": 0.24, + "learning_rate": 8.861805635623894e-06, + "loss": 0.8091, + "step": 8255 + }, + { + "epoch": 0.24, + "learning_rate": 8.861503417944941e-06, + "loss": 0.9138, + "step": 8256 + }, + { + "epoch": 0.24, + "learning_rate": 8.861201165303105e-06, + "loss": 0.6767, + "step": 8257 + }, + { + "epoch": 0.24, + "learning_rate": 8.86089887770112e-06, + "loss": 0.7574, + "step": 8258 + }, + { + "epoch": 0.24, + "learning_rate": 8.860596555141725e-06, + "loss": 0.7153, + "step": 8259 + }, + { + "epoch": 0.24, + "learning_rate": 8.860294197627655e-06, + "loss": 0.9024, + "step": 8260 + }, + { + "epoch": 0.24, + "learning_rate": 8.859991805161649e-06, + "loss": 0.7623, + "step": 8261 + }, + { + "epoch": 0.24, + "learning_rate": 8.859689377746444e-06, + "loss": 0.7905, + "step": 8262 + }, + { + "epoch": 0.24, + "learning_rate": 8.85938691538478e-06, + "loss": 0.7202, + "step": 8263 + }, + { + "epoch": 0.24, + "learning_rate": 8.859084418079395e-06, + "loss": 0.7659, + "step": 8264 + }, + { + "epoch": 0.24, + "learning_rate": 8.858781885833028e-06, + "loss": 0.7776, + "step": 8265 + }, + { + "epoch": 0.24, + "learning_rate": 8.858479318648417e-06, + "loss": 1.0434, + "step": 8266 + }, + { + "epoch": 0.24, + "learning_rate": 8.858176716528303e-06, + "loss": 0.7459, + "step": 8267 + }, + { + "epoch": 0.24, + "learning_rate": 8.857874079475424e-06, + "loss": 0.7544, + "step": 8268 + }, + { + "epoch": 0.24, + "learning_rate": 8.857571407492522e-06, + "loss": 0.8689, + "step": 8269 + }, + { + "epoch": 0.24, + "learning_rate": 8.857268700582336e-06, + "loss": 0.4565, + "step": 8270 + }, + { + "epoch": 0.24, + "learning_rate": 8.856965958747607e-06, + "loss": 0.59, + "step": 8271 + }, + { + "epoch": 0.24, + "learning_rate": 8.856663181991078e-06, + "loss": 0.7174, + "step": 8272 + }, + { + "epoch": 0.24, + "learning_rate": 8.856360370315487e-06, + "loss": 0.7999, + "step": 8273 + }, + { + "epoch": 0.24, + "learning_rate": 8.85605752372358e-06, + "loss": 0.6299, + "step": 8274 + }, + { + "epoch": 0.24, + "learning_rate": 8.855754642218095e-06, + "loss": 0.743, + "step": 8275 + }, + { + "epoch": 0.24, + "learning_rate": 8.855451725801776e-06, + "loss": 0.9076, + "step": 8276 + }, + { + "epoch": 0.24, + "learning_rate": 8.855148774477366e-06, + "loss": 0.6695, + "step": 8277 + }, + { + "epoch": 0.24, + "learning_rate": 8.854845788247609e-06, + "loss": 1.0371, + "step": 8278 + }, + { + "epoch": 0.24, + "learning_rate": 8.854542767115246e-06, + "loss": 0.7198, + "step": 8279 + }, + { + "epoch": 0.24, + "learning_rate": 8.854239711083022e-06, + "loss": 0.7486, + "step": 8280 + }, + { + "epoch": 0.24, + "learning_rate": 8.85393662015368e-06, + "loss": 0.9661, + "step": 8281 + }, + { + "epoch": 0.24, + "learning_rate": 8.853633494329966e-06, + "loss": 0.8522, + "step": 8282 + }, + { + "epoch": 0.24, + "learning_rate": 8.85333033361462e-06, + "loss": 0.849, + "step": 8283 + }, + { + "epoch": 0.24, + "learning_rate": 8.853027138010394e-06, + "loss": 1.0266, + "step": 8284 + }, + { + "epoch": 0.24, + "learning_rate": 8.852723907520028e-06, + "loss": 0.6769, + "step": 8285 + }, + { + "epoch": 0.24, + "learning_rate": 8.852420642146268e-06, + "loss": 0.7026, + "step": 8286 + }, + { + "epoch": 0.24, + "learning_rate": 8.852117341891863e-06, + "loss": 0.7869, + "step": 8287 + }, + { + "epoch": 0.24, + "learning_rate": 8.851814006759555e-06, + "loss": 0.6485, + "step": 8288 + }, + { + "epoch": 0.24, + "learning_rate": 8.851510636752094e-06, + "loss": 0.7935, + "step": 8289 + }, + { + "epoch": 0.24, + "learning_rate": 8.851207231872223e-06, + "loss": 0.8699, + "step": 8290 + }, + { + "epoch": 0.24, + "learning_rate": 8.850903792122693e-06, + "loss": 0.3789, + "step": 8291 + }, + { + "epoch": 0.24, + "learning_rate": 8.850600317506251e-06, + "loss": 0.9016, + "step": 8292 + }, + { + "epoch": 0.24, + "learning_rate": 8.85029680802564e-06, + "loss": 0.79, + "step": 8293 + }, + { + "epoch": 0.24, + "learning_rate": 8.849993263683614e-06, + "loss": 0.7133, + "step": 8294 + }, + { + "epoch": 0.24, + "learning_rate": 8.849689684482918e-06, + "loss": 0.7615, + "step": 8295 + }, + { + "epoch": 0.24, + "learning_rate": 8.8493860704263e-06, + "loss": 0.6812, + "step": 8296 + }, + { + "epoch": 0.24, + "learning_rate": 8.849082421516512e-06, + "loss": 0.6336, + "step": 8297 + }, + { + "epoch": 0.24, + "learning_rate": 8.848778737756302e-06, + "loss": 0.8426, + "step": 8298 + }, + { + "epoch": 0.24, + "learning_rate": 8.84847501914842e-06, + "loss": 0.6217, + "step": 8299 + }, + { + "epoch": 0.24, + "learning_rate": 8.848171265695613e-06, + "loss": 0.9748, + "step": 8300 + }, + { + "epoch": 0.24, + "learning_rate": 8.847867477400636e-06, + "loss": 0.6666, + "step": 8301 + }, + { + "epoch": 0.24, + "learning_rate": 8.847563654266236e-06, + "loss": 0.8002, + "step": 8302 + }, + { + "epoch": 0.24, + "learning_rate": 8.847259796295164e-06, + "loss": 0.7622, + "step": 8303 + }, + { + "epoch": 0.24, + "learning_rate": 8.846955903490174e-06, + "loss": 0.5951, + "step": 8304 + }, + { + "epoch": 0.24, + "learning_rate": 8.846651975854015e-06, + "loss": 0.7068, + "step": 8305 + }, + { + "epoch": 0.24, + "learning_rate": 8.846348013389441e-06, + "loss": 0.5669, + "step": 8306 + }, + { + "epoch": 0.24, + "learning_rate": 8.8460440160992e-06, + "loss": 0.7957, + "step": 8307 + }, + { + "epoch": 0.24, + "learning_rate": 8.845739983986048e-06, + "loss": 0.8475, + "step": 8308 + }, + { + "epoch": 0.24, + "learning_rate": 8.845435917052739e-06, + "loss": 0.55, + "step": 8309 + }, + { + "epoch": 0.24, + "learning_rate": 8.845131815302022e-06, + "loss": 0.9765, + "step": 8310 + }, + { + "epoch": 0.24, + "learning_rate": 8.844827678736651e-06, + "loss": 0.7816, + "step": 8311 + }, + { + "epoch": 0.24, + "learning_rate": 8.844523507359384e-06, + "loss": 0.8359, + "step": 8312 + }, + { + "epoch": 0.24, + "learning_rate": 8.844219301172972e-06, + "loss": 0.7627, + "step": 8313 + }, + { + "epoch": 0.24, + "learning_rate": 8.843915060180167e-06, + "loss": 0.8502, + "step": 8314 + }, + { + "epoch": 0.24, + "learning_rate": 8.843610784383728e-06, + "loss": 0.6562, + "step": 8315 + }, + { + "epoch": 0.24, + "learning_rate": 8.843306473786409e-06, + "loss": 0.6473, + "step": 8316 + }, + { + "epoch": 0.24, + "learning_rate": 8.843002128390962e-06, + "loss": 0.7202, + "step": 8317 + }, + { + "epoch": 0.24, + "learning_rate": 8.842697748200146e-06, + "loss": 0.7216, + "step": 8318 + }, + { + "epoch": 0.24, + "learning_rate": 8.842393333216716e-06, + "loss": 0.5814, + "step": 8319 + }, + { + "epoch": 0.24, + "learning_rate": 8.84208888344343e-06, + "loss": 0.7408, + "step": 8320 + }, + { + "epoch": 0.24, + "learning_rate": 8.841784398883041e-06, + "loss": 0.7297, + "step": 8321 + }, + { + "epoch": 0.24, + "learning_rate": 8.841479879538307e-06, + "loss": 0.6549, + "step": 8322 + }, + { + "epoch": 0.24, + "learning_rate": 8.841175325411989e-06, + "loss": 0.7635, + "step": 8323 + }, + { + "epoch": 0.24, + "learning_rate": 8.840870736506837e-06, + "loss": 0.8618, + "step": 8324 + }, + { + "epoch": 0.24, + "learning_rate": 8.840566112825615e-06, + "loss": 0.8726, + "step": 8325 + }, + { + "epoch": 0.24, + "learning_rate": 8.84026145437108e-06, + "loss": 0.7479, + "step": 8326 + }, + { + "epoch": 0.24, + "learning_rate": 8.83995676114599e-06, + "loss": 0.6999, + "step": 8327 + }, + { + "epoch": 0.24, + "learning_rate": 8.839652033153101e-06, + "loss": 0.6178, + "step": 8328 + }, + { + "epoch": 0.24, + "learning_rate": 8.839347270395177e-06, + "loss": 0.6265, + "step": 8329 + }, + { + "epoch": 0.24, + "learning_rate": 8.839042472874975e-06, + "loss": 0.8486, + "step": 8330 + }, + { + "epoch": 0.24, + "learning_rate": 8.838737640595253e-06, + "loss": 0.8623, + "step": 8331 + }, + { + "epoch": 0.24, + "learning_rate": 8.838432773558774e-06, + "loss": 1.129, + "step": 8332 + }, + { + "epoch": 0.24, + "learning_rate": 8.838127871768296e-06, + "loss": 0.9603, + "step": 8333 + }, + { + "epoch": 0.24, + "learning_rate": 8.83782293522658e-06, + "loss": 0.7477, + "step": 8334 + }, + { + "epoch": 0.24, + "learning_rate": 8.837517963936389e-06, + "loss": 0.7429, + "step": 8335 + }, + { + "epoch": 0.24, + "learning_rate": 8.837212957900483e-06, + "loss": 0.7249, + "step": 8336 + }, + { + "epoch": 0.24, + "learning_rate": 8.836907917121623e-06, + "loss": 0.6678, + "step": 8337 + }, + { + "epoch": 0.24, + "learning_rate": 8.836602841602571e-06, + "loss": 0.6566, + "step": 8338 + }, + { + "epoch": 0.24, + "learning_rate": 8.836297731346089e-06, + "loss": 0.8255, + "step": 8339 + }, + { + "epoch": 0.25, + "learning_rate": 8.835992586354942e-06, + "loss": 0.7372, + "step": 8340 + }, + { + "epoch": 0.25, + "learning_rate": 8.83568740663189e-06, + "loss": 0.7743, + "step": 8341 + }, + { + "epoch": 0.25, + "learning_rate": 8.835382192179696e-06, + "loss": 0.8878, + "step": 8342 + }, + { + "epoch": 0.25, + "learning_rate": 8.835076943001127e-06, + "loss": 0.6853, + "step": 8343 + }, + { + "epoch": 0.25, + "learning_rate": 8.834771659098941e-06, + "loss": 0.8713, + "step": 8344 + }, + { + "epoch": 0.25, + "learning_rate": 8.834466340475908e-06, + "loss": 0.9465, + "step": 8345 + }, + { + "epoch": 0.25, + "learning_rate": 8.83416098713479e-06, + "loss": 0.8185, + "step": 8346 + }, + { + "epoch": 0.25, + "learning_rate": 8.833855599078352e-06, + "loss": 1.1034, + "step": 8347 + }, + { + "epoch": 0.25, + "learning_rate": 8.833550176309357e-06, + "loss": 1.0084, + "step": 8348 + }, + { + "epoch": 0.25, + "learning_rate": 8.833244718830573e-06, + "loss": 0.8759, + "step": 8349 + }, + { + "epoch": 0.25, + "learning_rate": 8.832939226644763e-06, + "loss": 0.7479, + "step": 8350 + }, + { + "epoch": 0.25, + "learning_rate": 8.832633699754698e-06, + "loss": 0.732, + "step": 8351 + }, + { + "epoch": 0.25, + "learning_rate": 8.832328138163139e-06, + "loss": 0.6363, + "step": 8352 + }, + { + "epoch": 0.25, + "learning_rate": 8.832022541872855e-06, + "loss": 0.4496, + "step": 8353 + }, + { + "epoch": 0.25, + "learning_rate": 8.831716910886612e-06, + "loss": 0.7102, + "step": 8354 + }, + { + "epoch": 0.25, + "learning_rate": 8.831411245207178e-06, + "loss": 0.4731, + "step": 8355 + }, + { + "epoch": 0.25, + "learning_rate": 8.831105544837322e-06, + "loss": 0.8132, + "step": 8356 + }, + { + "epoch": 0.25, + "learning_rate": 8.830799809779809e-06, + "loss": 0.5675, + "step": 8357 + }, + { + "epoch": 0.25, + "learning_rate": 8.83049404003741e-06, + "loss": 0.7247, + "step": 8358 + }, + { + "epoch": 0.25, + "learning_rate": 8.830188235612888e-06, + "loss": 0.7429, + "step": 8359 + }, + { + "epoch": 0.25, + "learning_rate": 8.82988239650902e-06, + "loss": 0.7257, + "step": 8360 + }, + { + "epoch": 0.25, + "learning_rate": 8.829576522728569e-06, + "loss": 0.7667, + "step": 8361 + }, + { + "epoch": 0.25, + "learning_rate": 8.829270614274306e-06, + "loss": 0.5629, + "step": 8362 + }, + { + "epoch": 0.25, + "learning_rate": 8.828964671149002e-06, + "loss": 0.7743, + "step": 8363 + }, + { + "epoch": 0.25, + "learning_rate": 8.828658693355425e-06, + "loss": 0.7718, + "step": 8364 + }, + { + "epoch": 0.25, + "learning_rate": 8.828352680896348e-06, + "loss": 0.6539, + "step": 8365 + }, + { + "epoch": 0.25, + "learning_rate": 8.82804663377454e-06, + "loss": 0.7836, + "step": 8366 + }, + { + "epoch": 0.25, + "learning_rate": 8.827740551992774e-06, + "loss": 0.666, + "step": 8367 + }, + { + "epoch": 0.25, + "learning_rate": 8.827434435553817e-06, + "loss": 0.9208, + "step": 8368 + }, + { + "epoch": 0.25, + "learning_rate": 8.827128284460444e-06, + "loss": 0.8131, + "step": 8369 + }, + { + "epoch": 0.25, + "learning_rate": 8.826822098715425e-06, + "loss": 0.772, + "step": 8370 + }, + { + "epoch": 0.25, + "learning_rate": 8.826515878321538e-06, + "loss": 0.7372, + "step": 8371 + }, + { + "epoch": 0.25, + "learning_rate": 8.826209623281547e-06, + "loss": 0.7305, + "step": 8372 + }, + { + "epoch": 0.25, + "learning_rate": 8.82590333359823e-06, + "loss": 1.0505, + "step": 8373 + }, + { + "epoch": 0.25, + "learning_rate": 8.82559700927436e-06, + "loss": 0.6943, + "step": 8374 + }, + { + "epoch": 0.25, + "learning_rate": 8.825290650312707e-06, + "loss": 0.705, + "step": 8375 + }, + { + "epoch": 0.25, + "learning_rate": 8.824984256716051e-06, + "loss": 0.6088, + "step": 8376 + }, + { + "epoch": 0.25, + "learning_rate": 8.824677828487163e-06, + "loss": 0.9902, + "step": 8377 + }, + { + "epoch": 0.25, + "learning_rate": 8.824371365628814e-06, + "loss": 0.828, + "step": 8378 + }, + { + "epoch": 0.25, + "learning_rate": 8.824064868143784e-06, + "loss": 0.6849, + "step": 8379 + }, + { + "epoch": 0.25, + "learning_rate": 8.823758336034847e-06, + "loss": 0.6479, + "step": 8380 + }, + { + "epoch": 0.25, + "learning_rate": 8.823451769304776e-06, + "loss": 0.7702, + "step": 8381 + }, + { + "epoch": 0.25, + "learning_rate": 8.823145167956349e-06, + "loss": 0.7811, + "step": 8382 + }, + { + "epoch": 0.25, + "learning_rate": 8.82283853199234e-06, + "loss": 0.8228, + "step": 8383 + }, + { + "epoch": 0.25, + "learning_rate": 8.822531861415526e-06, + "loss": 0.5748, + "step": 8384 + }, + { + "epoch": 0.25, + "learning_rate": 8.822225156228686e-06, + "loss": 0.6707, + "step": 8385 + }, + { + "epoch": 0.25, + "learning_rate": 8.821918416434596e-06, + "loss": 0.8756, + "step": 8386 + }, + { + "epoch": 0.25, + "learning_rate": 8.821611642036033e-06, + "loss": 0.6185, + "step": 8387 + }, + { + "epoch": 0.25, + "learning_rate": 8.82130483303577e-06, + "loss": 0.8222, + "step": 8388 + }, + { + "epoch": 0.25, + "learning_rate": 8.820997989436593e-06, + "loss": 0.948, + "step": 8389 + }, + { + "epoch": 0.25, + "learning_rate": 8.820691111241275e-06, + "loss": 0.7912, + "step": 8390 + }, + { + "epoch": 0.25, + "learning_rate": 8.820384198452593e-06, + "loss": 0.676, + "step": 8391 + }, + { + "epoch": 0.25, + "learning_rate": 8.820077251073333e-06, + "loss": 0.6688, + "step": 8392 + }, + { + "epoch": 0.25, + "learning_rate": 8.819770269106268e-06, + "loss": 0.6657, + "step": 8393 + }, + { + "epoch": 0.25, + "learning_rate": 8.819463252554179e-06, + "loss": 0.8141, + "step": 8394 + }, + { + "epoch": 0.25, + "learning_rate": 8.819156201419847e-06, + "loss": 0.579, + "step": 8395 + }, + { + "epoch": 0.25, + "learning_rate": 8.818849115706052e-06, + "loss": 0.9421, + "step": 8396 + }, + { + "epoch": 0.25, + "learning_rate": 8.818541995415572e-06, + "loss": 0.7462, + "step": 8397 + }, + { + "epoch": 0.25, + "learning_rate": 8.81823484055119e-06, + "loss": 0.7493, + "step": 8398 + }, + { + "epoch": 0.25, + "learning_rate": 8.817927651115685e-06, + "loss": 0.6782, + "step": 8399 + }, + { + "epoch": 0.25, + "learning_rate": 8.817620427111842e-06, + "loss": 0.5638, + "step": 8400 + }, + { + "epoch": 0.25, + "learning_rate": 8.817313168542438e-06, + "loss": 0.579, + "step": 8401 + }, + { + "epoch": 0.25, + "learning_rate": 8.817005875410261e-06, + "loss": 0.9013, + "step": 8402 + }, + { + "epoch": 0.25, + "learning_rate": 8.816698547718086e-06, + "loss": 0.6679, + "step": 8403 + }, + { + "epoch": 0.25, + "learning_rate": 8.816391185468702e-06, + "loss": 1.0058, + "step": 8404 + }, + { + "epoch": 0.25, + "learning_rate": 8.816083788664888e-06, + "loss": 0.7238, + "step": 8405 + }, + { + "epoch": 0.25, + "learning_rate": 8.815776357309428e-06, + "loss": 0.7857, + "step": 8406 + }, + { + "epoch": 0.25, + "learning_rate": 8.815468891405108e-06, + "loss": 0.6766, + "step": 8407 + }, + { + "epoch": 0.25, + "learning_rate": 8.81516139095471e-06, + "loss": 0.8986, + "step": 8408 + }, + { + "epoch": 0.25, + "learning_rate": 8.814853855961014e-06, + "loss": 0.8163, + "step": 8409 + }, + { + "epoch": 0.25, + "learning_rate": 8.814546286426813e-06, + "loss": 0.5929, + "step": 8410 + }, + { + "epoch": 0.25, + "learning_rate": 8.814238682354885e-06, + "loss": 0.9094, + "step": 8411 + }, + { + "epoch": 0.25, + "learning_rate": 8.813931043748019e-06, + "loss": 0.6093, + "step": 8412 + }, + { + "epoch": 0.25, + "learning_rate": 8.813623370608998e-06, + "loss": 0.5745, + "step": 8413 + }, + { + "epoch": 0.25, + "learning_rate": 8.813315662940607e-06, + "loss": 0.8271, + "step": 8414 + }, + { + "epoch": 0.25, + "learning_rate": 8.813007920745636e-06, + "loss": 0.7562, + "step": 8415 + }, + { + "epoch": 0.25, + "learning_rate": 8.81270014402687e-06, + "loss": 0.7403, + "step": 8416 + }, + { + "epoch": 0.25, + "learning_rate": 8.812392332787092e-06, + "loss": 0.4764, + "step": 8417 + }, + { + "epoch": 0.25, + "learning_rate": 8.812084487029094e-06, + "loss": 0.6476, + "step": 8418 + }, + { + "epoch": 0.25, + "learning_rate": 8.81177660675566e-06, + "loss": 0.6823, + "step": 8419 + }, + { + "epoch": 0.25, + "learning_rate": 8.81146869196958e-06, + "loss": 0.7248, + "step": 8420 + }, + { + "epoch": 0.25, + "learning_rate": 8.811160742673638e-06, + "loss": 0.6133, + "step": 8421 + }, + { + "epoch": 0.25, + "learning_rate": 8.810852758870627e-06, + "loss": 0.7799, + "step": 8422 + }, + { + "epoch": 0.25, + "learning_rate": 8.810544740563332e-06, + "loss": 0.7257, + "step": 8423 + }, + { + "epoch": 0.25, + "learning_rate": 8.810236687754543e-06, + "loss": 0.6496, + "step": 8424 + }, + { + "epoch": 0.25, + "learning_rate": 8.80992860044705e-06, + "loss": 0.513, + "step": 8425 + }, + { + "epoch": 0.25, + "learning_rate": 8.809620478643644e-06, + "loss": 0.7603, + "step": 8426 + }, + { + "epoch": 0.25, + "learning_rate": 8.80931232234711e-06, + "loss": 0.4668, + "step": 8427 + }, + { + "epoch": 0.25, + "learning_rate": 8.809004131560242e-06, + "loss": 0.6665, + "step": 8428 + }, + { + "epoch": 0.25, + "learning_rate": 8.80869590628583e-06, + "loss": 0.5205, + "step": 8429 + }, + { + "epoch": 0.25, + "learning_rate": 8.808387646526662e-06, + "loss": 0.7513, + "step": 8430 + }, + { + "epoch": 0.25, + "learning_rate": 8.808079352285533e-06, + "loss": 0.5987, + "step": 8431 + }, + { + "epoch": 0.25, + "learning_rate": 8.80777102356523e-06, + "loss": 0.982, + "step": 8432 + }, + { + "epoch": 0.25, + "learning_rate": 8.807462660368549e-06, + "loss": 0.7402, + "step": 8433 + }, + { + "epoch": 0.25, + "learning_rate": 8.807154262698278e-06, + "loss": 0.7969, + "step": 8434 + }, + { + "epoch": 0.25, + "learning_rate": 8.806845830557213e-06, + "loss": 0.6861, + "step": 8435 + }, + { + "epoch": 0.25, + "learning_rate": 8.806537363948145e-06, + "loss": 0.9779, + "step": 8436 + }, + { + "epoch": 0.25, + "learning_rate": 8.806228862873866e-06, + "loss": 0.617, + "step": 8437 + }, + { + "epoch": 0.25, + "learning_rate": 8.805920327337171e-06, + "loss": 0.8512, + "step": 8438 + }, + { + "epoch": 0.25, + "learning_rate": 8.805611757340855e-06, + "loss": 0.6461, + "step": 8439 + }, + { + "epoch": 0.25, + "learning_rate": 8.805303152887707e-06, + "loss": 0.627, + "step": 8440 + }, + { + "epoch": 0.25, + "learning_rate": 8.804994513980522e-06, + "loss": 0.8297, + "step": 8441 + }, + { + "epoch": 0.25, + "learning_rate": 8.8046858406221e-06, + "loss": 0.6739, + "step": 8442 + }, + { + "epoch": 0.25, + "learning_rate": 8.804377132815229e-06, + "loss": 0.8218, + "step": 8443 + }, + { + "epoch": 0.25, + "learning_rate": 8.804068390562708e-06, + "loss": 0.6788, + "step": 8444 + }, + { + "epoch": 0.25, + "learning_rate": 8.803759613867331e-06, + "loss": 0.6698, + "step": 8445 + }, + { + "epoch": 0.25, + "learning_rate": 8.803450802731894e-06, + "loss": 0.8748, + "step": 8446 + }, + { + "epoch": 0.25, + "learning_rate": 8.803141957159197e-06, + "loss": 0.9514, + "step": 8447 + }, + { + "epoch": 0.25, + "learning_rate": 8.802833077152028e-06, + "loss": 0.8635, + "step": 8448 + }, + { + "epoch": 0.25, + "learning_rate": 8.802524162713191e-06, + "loss": 0.7981, + "step": 8449 + }, + { + "epoch": 0.25, + "learning_rate": 8.802215213845478e-06, + "loss": 0.7137, + "step": 8450 + }, + { + "epoch": 0.25, + "learning_rate": 8.80190623055169e-06, + "loss": 0.6718, + "step": 8451 + }, + { + "epoch": 0.25, + "learning_rate": 8.801597212834623e-06, + "loss": 0.8366, + "step": 8452 + }, + { + "epoch": 0.25, + "learning_rate": 8.801288160697075e-06, + "loss": 0.6681, + "step": 8453 + }, + { + "epoch": 0.25, + "learning_rate": 8.800979074141844e-06, + "loss": 0.6848, + "step": 8454 + }, + { + "epoch": 0.25, + "learning_rate": 8.80066995317173e-06, + "loss": 0.7701, + "step": 8455 + }, + { + "epoch": 0.25, + "learning_rate": 8.80036079778953e-06, + "loss": 0.8585, + "step": 8456 + }, + { + "epoch": 0.25, + "learning_rate": 8.800051607998044e-06, + "loss": 0.7838, + "step": 8457 + }, + { + "epoch": 0.25, + "learning_rate": 8.799742383800072e-06, + "loss": 0.5785, + "step": 8458 + }, + { + "epoch": 0.25, + "learning_rate": 8.799433125198411e-06, + "loss": 0.783, + "step": 8459 + }, + { + "epoch": 0.25, + "learning_rate": 8.799123832195864e-06, + "loss": 0.7824, + "step": 8460 + }, + { + "epoch": 0.25, + "learning_rate": 8.798814504795232e-06, + "loss": 1.0419, + "step": 8461 + }, + { + "epoch": 0.25, + "learning_rate": 8.798505142999313e-06, + "loss": 1.0676, + "step": 8462 + }, + { + "epoch": 0.25, + "learning_rate": 8.798195746810909e-06, + "loss": 0.6162, + "step": 8463 + }, + { + "epoch": 0.25, + "learning_rate": 8.797886316232823e-06, + "loss": 0.6222, + "step": 8464 + }, + { + "epoch": 0.25, + "learning_rate": 8.797576851267856e-06, + "loss": 0.9029, + "step": 8465 + }, + { + "epoch": 0.25, + "learning_rate": 8.797267351918807e-06, + "loss": 0.708, + "step": 8466 + }, + { + "epoch": 0.25, + "learning_rate": 8.796957818188482e-06, + "loss": 0.8287, + "step": 8467 + }, + { + "epoch": 0.25, + "learning_rate": 8.796648250079682e-06, + "loss": 0.8869, + "step": 8468 + }, + { + "epoch": 0.25, + "learning_rate": 8.796338647595211e-06, + "loss": 0.7606, + "step": 8469 + }, + { + "epoch": 0.25, + "learning_rate": 8.796029010737868e-06, + "loss": 0.8664, + "step": 8470 + }, + { + "epoch": 0.25, + "learning_rate": 8.795719339510463e-06, + "loss": 0.7607, + "step": 8471 + }, + { + "epoch": 0.25, + "learning_rate": 8.795409633915795e-06, + "loss": 0.7458, + "step": 8472 + }, + { + "epoch": 0.25, + "learning_rate": 8.79509989395667e-06, + "loss": 0.6188, + "step": 8473 + }, + { + "epoch": 0.25, + "learning_rate": 8.794790119635893e-06, + "loss": 0.737, + "step": 8474 + }, + { + "epoch": 0.25, + "learning_rate": 8.794480310956268e-06, + "loss": 0.7006, + "step": 8475 + }, + { + "epoch": 0.25, + "learning_rate": 8.7941704679206e-06, + "loss": 0.926, + "step": 8476 + }, + { + "epoch": 0.25, + "learning_rate": 8.793860590531694e-06, + "loss": 0.8375, + "step": 8477 + }, + { + "epoch": 0.25, + "learning_rate": 8.793550678792354e-06, + "loss": 0.8881, + "step": 8478 + }, + { + "epoch": 0.25, + "learning_rate": 8.793240732705392e-06, + "loss": 0.673, + "step": 8479 + }, + { + "epoch": 0.25, + "learning_rate": 8.792930752273608e-06, + "loss": 0.6061, + "step": 8480 + }, + { + "epoch": 0.25, + "learning_rate": 8.792620737499813e-06, + "loss": 0.6344, + "step": 8481 + }, + { + "epoch": 0.25, + "learning_rate": 8.79231068838681e-06, + "loss": 0.6338, + "step": 8482 + }, + { + "epoch": 0.25, + "learning_rate": 8.792000604937409e-06, + "loss": 0.7887, + "step": 8483 + }, + { + "epoch": 0.25, + "learning_rate": 8.791690487154418e-06, + "loss": 0.9154, + "step": 8484 + }, + { + "epoch": 0.25, + "learning_rate": 8.791380335040642e-06, + "loss": 0.6285, + "step": 8485 + }, + { + "epoch": 0.25, + "learning_rate": 8.791070148598892e-06, + "loss": 0.5943, + "step": 8486 + }, + { + "epoch": 0.25, + "learning_rate": 8.790759927831974e-06, + "loss": 0.9039, + "step": 8487 + }, + { + "epoch": 0.25, + "learning_rate": 8.7904496727427e-06, + "loss": 0.7261, + "step": 8488 + }, + { + "epoch": 0.25, + "learning_rate": 8.790139383333877e-06, + "loss": 1.108, + "step": 8489 + }, + { + "epoch": 0.25, + "learning_rate": 8.789829059608315e-06, + "loss": 0.6262, + "step": 8490 + }, + { + "epoch": 0.25, + "learning_rate": 8.789518701568822e-06, + "loss": 1.0426, + "step": 8491 + }, + { + "epoch": 0.25, + "learning_rate": 8.78920830921821e-06, + "loss": 0.7426, + "step": 8492 + }, + { + "epoch": 0.25, + "learning_rate": 8.788897882559288e-06, + "loss": 0.698, + "step": 8493 + }, + { + "epoch": 0.25, + "learning_rate": 8.78858742159487e-06, + "loss": 0.7624, + "step": 8494 + }, + { + "epoch": 0.25, + "learning_rate": 8.788276926327763e-06, + "loss": 0.5653, + "step": 8495 + }, + { + "epoch": 0.25, + "learning_rate": 8.787966396760781e-06, + "loss": 0.7998, + "step": 8496 + }, + { + "epoch": 0.25, + "learning_rate": 8.787655832896734e-06, + "loss": 0.8271, + "step": 8497 + }, + { + "epoch": 0.25, + "learning_rate": 8.787345234738433e-06, + "loss": 0.8542, + "step": 8498 + }, + { + "epoch": 0.25, + "learning_rate": 8.787034602288692e-06, + "loss": 0.6109, + "step": 8499 + }, + { + "epoch": 0.25, + "learning_rate": 8.786723935550323e-06, + "loss": 0.7382, + "step": 8500 + }, + { + "epoch": 0.25, + "learning_rate": 8.78641323452614e-06, + "loss": 0.7002, + "step": 8501 + }, + { + "epoch": 0.25, + "learning_rate": 8.786102499218955e-06, + "loss": 0.671, + "step": 8502 + }, + { + "epoch": 0.25, + "learning_rate": 8.78579172963158e-06, + "loss": 0.7491, + "step": 8503 + }, + { + "epoch": 0.25, + "learning_rate": 8.785480925766833e-06, + "loss": 0.8173, + "step": 8504 + }, + { + "epoch": 0.25, + "learning_rate": 8.785170087627523e-06, + "loss": 0.6145, + "step": 8505 + }, + { + "epoch": 0.25, + "learning_rate": 8.784859215216468e-06, + "loss": 0.6785, + "step": 8506 + }, + { + "epoch": 0.25, + "learning_rate": 8.78454830853648e-06, + "loss": 0.8106, + "step": 8507 + }, + { + "epoch": 0.25, + "learning_rate": 8.784237367590379e-06, + "loss": 0.8422, + "step": 8508 + }, + { + "epoch": 0.25, + "learning_rate": 8.783926392380974e-06, + "loss": 0.7167, + "step": 8509 + }, + { + "epoch": 0.25, + "learning_rate": 8.783615382911084e-06, + "loss": 0.691, + "step": 8510 + }, + { + "epoch": 0.25, + "learning_rate": 8.783304339183524e-06, + "loss": 0.8419, + "step": 8511 + }, + { + "epoch": 0.25, + "learning_rate": 8.782993261201111e-06, + "loss": 0.6416, + "step": 8512 + }, + { + "epoch": 0.25, + "learning_rate": 8.782682148966663e-06, + "loss": 0.5063, + "step": 8513 + }, + { + "epoch": 0.25, + "learning_rate": 8.782371002482994e-06, + "loss": 0.8387, + "step": 8514 + }, + { + "epoch": 0.25, + "learning_rate": 8.782059821752922e-06, + "loss": 0.5374, + "step": 8515 + }, + { + "epoch": 0.25, + "learning_rate": 8.781748606779264e-06, + "loss": 0.919, + "step": 8516 + }, + { + "epoch": 0.25, + "learning_rate": 8.78143735756484e-06, + "loss": 0.8633, + "step": 8517 + }, + { + "epoch": 0.25, + "learning_rate": 8.781126074112467e-06, + "loss": 0.9222, + "step": 8518 + }, + { + "epoch": 0.25, + "learning_rate": 8.780814756424963e-06, + "loss": 0.9424, + "step": 8519 + }, + { + "epoch": 0.25, + "learning_rate": 8.780503404505146e-06, + "loss": 0.8724, + "step": 8520 + }, + { + "epoch": 0.25, + "learning_rate": 8.780192018355837e-06, + "loss": 0.6661, + "step": 8521 + }, + { + "epoch": 0.25, + "learning_rate": 8.779880597979852e-06, + "loss": 0.5446, + "step": 8522 + }, + { + "epoch": 0.25, + "learning_rate": 8.779569143380016e-06, + "loss": 0.6671, + "step": 8523 + }, + { + "epoch": 0.25, + "learning_rate": 8.779257654559145e-06, + "loss": 0.7185, + "step": 8524 + }, + { + "epoch": 0.25, + "learning_rate": 8.77894613152006e-06, + "loss": 0.7573, + "step": 8525 + }, + { + "epoch": 0.25, + "learning_rate": 8.77863457426558e-06, + "loss": 0.8224, + "step": 8526 + }, + { + "epoch": 0.25, + "learning_rate": 8.778322982798531e-06, + "loss": 0.9148, + "step": 8527 + }, + { + "epoch": 0.25, + "learning_rate": 8.77801135712173e-06, + "loss": 0.8486, + "step": 8528 + }, + { + "epoch": 0.25, + "learning_rate": 8.777699697238e-06, + "loss": 0.7035, + "step": 8529 + }, + { + "epoch": 0.25, + "learning_rate": 8.77738800315016e-06, + "loss": 0.8773, + "step": 8530 + }, + { + "epoch": 0.25, + "learning_rate": 8.777076274861036e-06, + "loss": 0.9062, + "step": 8531 + }, + { + "epoch": 0.25, + "learning_rate": 8.77676451237345e-06, + "loss": 0.6436, + "step": 8532 + }, + { + "epoch": 0.25, + "learning_rate": 8.776452715690223e-06, + "loss": 0.6944, + "step": 8533 + }, + { + "epoch": 0.25, + "learning_rate": 8.776140884814178e-06, + "loss": 0.8749, + "step": 8534 + }, + { + "epoch": 0.25, + "learning_rate": 8.775829019748139e-06, + "loss": 0.48, + "step": 8535 + }, + { + "epoch": 0.25, + "learning_rate": 8.77551712049493e-06, + "loss": 0.8008, + "step": 8536 + }, + { + "epoch": 0.25, + "learning_rate": 8.775205187057376e-06, + "loss": 0.6131, + "step": 8537 + }, + { + "epoch": 0.25, + "learning_rate": 8.7748932194383e-06, + "loss": 0.734, + "step": 8538 + }, + { + "epoch": 0.25, + "learning_rate": 8.774581217640525e-06, + "loss": 0.8223, + "step": 8539 + }, + { + "epoch": 0.25, + "learning_rate": 8.77426918166688e-06, + "loss": 0.6838, + "step": 8540 + }, + { + "epoch": 0.25, + "learning_rate": 8.773957111520187e-06, + "loss": 0.7038, + "step": 8541 + }, + { + "epoch": 0.25, + "learning_rate": 8.773645007203273e-06, + "loss": 0.6628, + "step": 8542 + }, + { + "epoch": 0.25, + "learning_rate": 8.773332868718963e-06, + "loss": 1.0407, + "step": 8543 + }, + { + "epoch": 0.25, + "learning_rate": 8.773020696070082e-06, + "loss": 0.8156, + "step": 8544 + }, + { + "epoch": 0.25, + "learning_rate": 8.772708489259461e-06, + "loss": 0.7555, + "step": 8545 + }, + { + "epoch": 0.25, + "learning_rate": 8.772396248289922e-06, + "loss": 0.8642, + "step": 8546 + }, + { + "epoch": 0.25, + "learning_rate": 8.772083973164294e-06, + "loss": 0.6359, + "step": 8547 + }, + { + "epoch": 0.25, + "learning_rate": 8.771771663885405e-06, + "loss": 0.6893, + "step": 8548 + }, + { + "epoch": 0.25, + "learning_rate": 8.771459320456081e-06, + "loss": 0.6312, + "step": 8549 + }, + { + "epoch": 0.25, + "learning_rate": 8.771146942879152e-06, + "loss": 0.7047, + "step": 8550 + }, + { + "epoch": 0.25, + "learning_rate": 8.770834531157445e-06, + "loss": 0.8874, + "step": 8551 + }, + { + "epoch": 0.25, + "learning_rate": 8.770522085293789e-06, + "loss": 0.5415, + "step": 8552 + }, + { + "epoch": 0.25, + "learning_rate": 8.770209605291014e-06, + "loss": 0.5142, + "step": 8553 + }, + { + "epoch": 0.25, + "learning_rate": 8.769897091151947e-06, + "loss": 0.6558, + "step": 8554 + }, + { + "epoch": 0.25, + "learning_rate": 8.76958454287942e-06, + "loss": 0.6044, + "step": 8555 + }, + { + "epoch": 0.25, + "learning_rate": 8.76927196047626e-06, + "loss": 0.7, + "step": 8556 + }, + { + "epoch": 0.25, + "learning_rate": 8.768959343945299e-06, + "loss": 0.7691, + "step": 8557 + }, + { + "epoch": 0.25, + "learning_rate": 8.76864669328937e-06, + "loss": 0.8509, + "step": 8558 + }, + { + "epoch": 0.25, + "learning_rate": 8.768334008511297e-06, + "loss": 0.7334, + "step": 8559 + }, + { + "epoch": 0.25, + "learning_rate": 8.76802128961392e-06, + "loss": 0.7032, + "step": 8560 + }, + { + "epoch": 0.25, + "learning_rate": 8.76770853660006e-06, + "loss": 0.6156, + "step": 8561 + }, + { + "epoch": 0.25, + "learning_rate": 8.76739574947256e-06, + "loss": 0.7929, + "step": 8562 + }, + { + "epoch": 0.25, + "learning_rate": 8.767082928234244e-06, + "loss": 0.7066, + "step": 8563 + }, + { + "epoch": 0.25, + "learning_rate": 8.766770072887948e-06, + "loss": 0.71, + "step": 8564 + }, + { + "epoch": 0.25, + "learning_rate": 8.766457183436502e-06, + "loss": 0.7486, + "step": 8565 + }, + { + "epoch": 0.25, + "learning_rate": 8.76614425988274e-06, + "loss": 0.8397, + "step": 8566 + }, + { + "epoch": 0.25, + "learning_rate": 8.765831302229499e-06, + "loss": 0.9031, + "step": 8567 + }, + { + "epoch": 0.25, + "learning_rate": 8.765518310479605e-06, + "loss": 0.742, + "step": 8568 + }, + { + "epoch": 0.25, + "learning_rate": 8.7652052846359e-06, + "loss": 0.809, + "step": 8569 + }, + { + "epoch": 0.25, + "learning_rate": 8.764892224701213e-06, + "loss": 0.6818, + "step": 8570 + }, + { + "epoch": 0.25, + "learning_rate": 8.764579130678381e-06, + "loss": 0.9573, + "step": 8571 + }, + { + "epoch": 0.25, + "learning_rate": 8.764266002570237e-06, + "loss": 0.5861, + "step": 8572 + }, + { + "epoch": 0.25, + "learning_rate": 8.763952840379615e-06, + "loss": 0.6829, + "step": 8573 + }, + { + "epoch": 0.25, + "learning_rate": 8.763639644109356e-06, + "loss": 0.5132, + "step": 8574 + }, + { + "epoch": 0.25, + "learning_rate": 8.76332641376229e-06, + "loss": 0.7223, + "step": 8575 + }, + { + "epoch": 0.25, + "learning_rate": 8.763013149341256e-06, + "loss": 0.7751, + "step": 8576 + }, + { + "epoch": 0.25, + "learning_rate": 8.762699850849089e-06, + "loss": 0.6973, + "step": 8577 + }, + { + "epoch": 0.25, + "learning_rate": 8.762386518288623e-06, + "loss": 0.8859, + "step": 8578 + }, + { + "epoch": 0.25, + "learning_rate": 8.762073151662703e-06, + "loss": 0.8848, + "step": 8579 + }, + { + "epoch": 0.25, + "learning_rate": 8.761759750974159e-06, + "loss": 0.8219, + "step": 8580 + }, + { + "epoch": 0.25, + "learning_rate": 8.761446316225832e-06, + "loss": 0.8373, + "step": 8581 + }, + { + "epoch": 0.25, + "learning_rate": 8.761132847420559e-06, + "loss": 0.8886, + "step": 8582 + }, + { + "epoch": 0.25, + "learning_rate": 8.760819344561178e-06, + "loss": 0.7927, + "step": 8583 + }, + { + "epoch": 0.25, + "learning_rate": 8.760505807650527e-06, + "loss": 0.8092, + "step": 8584 + }, + { + "epoch": 0.25, + "learning_rate": 8.760192236691447e-06, + "loss": 0.4721, + "step": 8585 + }, + { + "epoch": 0.25, + "learning_rate": 8.759878631686774e-06, + "loss": 0.7173, + "step": 8586 + }, + { + "epoch": 0.25, + "learning_rate": 8.75956499263935e-06, + "loss": 0.6081, + "step": 8587 + }, + { + "epoch": 0.25, + "learning_rate": 8.759251319552014e-06, + "loss": 0.7359, + "step": 8588 + }, + { + "epoch": 0.25, + "learning_rate": 8.758937612427606e-06, + "loss": 0.6671, + "step": 8589 + }, + { + "epoch": 0.25, + "learning_rate": 8.758623871268964e-06, + "loss": 0.4703, + "step": 8590 + }, + { + "epoch": 0.25, + "learning_rate": 8.758310096078935e-06, + "loss": 0.9305, + "step": 8591 + }, + { + "epoch": 0.25, + "learning_rate": 8.757996286860353e-06, + "loss": 0.7729, + "step": 8592 + }, + { + "epoch": 0.25, + "learning_rate": 8.757682443616064e-06, + "loss": 0.71, + "step": 8593 + }, + { + "epoch": 0.25, + "learning_rate": 8.757368566348908e-06, + "loss": 0.9407, + "step": 8594 + }, + { + "epoch": 0.25, + "learning_rate": 8.757054655061726e-06, + "loss": 0.5722, + "step": 8595 + }, + { + "epoch": 0.25, + "learning_rate": 8.756740709757358e-06, + "loss": 0.6809, + "step": 8596 + }, + { + "epoch": 0.25, + "learning_rate": 8.756426730438655e-06, + "loss": 0.9956, + "step": 8597 + }, + { + "epoch": 0.25, + "learning_rate": 8.756112717108451e-06, + "loss": 0.7613, + "step": 8598 + }, + { + "epoch": 0.25, + "learning_rate": 8.755798669769593e-06, + "loss": 0.5279, + "step": 8599 + }, + { + "epoch": 0.25, + "learning_rate": 8.755484588424924e-06, + "loss": 0.839, + "step": 8600 + }, + { + "epoch": 0.25, + "learning_rate": 8.755170473077288e-06, + "loss": 0.925, + "step": 8601 + }, + { + "epoch": 0.25, + "learning_rate": 8.754856323729529e-06, + "loss": 0.9885, + "step": 8602 + }, + { + "epoch": 0.25, + "learning_rate": 8.754542140384492e-06, + "loss": 0.6183, + "step": 8603 + }, + { + "epoch": 0.25, + "learning_rate": 8.754227923045019e-06, + "loss": 0.7984, + "step": 8604 + }, + { + "epoch": 0.25, + "learning_rate": 8.753913671713958e-06, + "loss": 0.8231, + "step": 8605 + }, + { + "epoch": 0.25, + "learning_rate": 8.753599386394153e-06, + "loss": 0.8937, + "step": 8606 + }, + { + "epoch": 0.25, + "learning_rate": 8.753285067088449e-06, + "loss": 0.8021, + "step": 8607 + }, + { + "epoch": 0.25, + "learning_rate": 8.752970713799693e-06, + "loss": 0.7501, + "step": 8608 + }, + { + "epoch": 0.25, + "learning_rate": 8.75265632653073e-06, + "loss": 1.0651, + "step": 8609 + }, + { + "epoch": 0.25, + "learning_rate": 8.75234190528441e-06, + "loss": 0.9009, + "step": 8610 + }, + { + "epoch": 0.25, + "learning_rate": 8.752027450063576e-06, + "loss": 0.8319, + "step": 8611 + }, + { + "epoch": 0.25, + "learning_rate": 8.751712960871078e-06, + "loss": 0.9947, + "step": 8612 + }, + { + "epoch": 0.25, + "learning_rate": 8.751398437709758e-06, + "loss": 0.8768, + "step": 8613 + }, + { + "epoch": 0.25, + "learning_rate": 8.75108388058247e-06, + "loss": 0.6568, + "step": 8614 + }, + { + "epoch": 0.25, + "learning_rate": 8.750769289492061e-06, + "loss": 0.7714, + "step": 8615 + }, + { + "epoch": 0.25, + "learning_rate": 8.750454664441375e-06, + "loss": 0.662, + "step": 8616 + }, + { + "epoch": 0.25, + "learning_rate": 8.750140005433265e-06, + "loss": 0.626, + "step": 8617 + }, + { + "epoch": 0.25, + "learning_rate": 8.749825312470578e-06, + "loss": 1.1231, + "step": 8618 + }, + { + "epoch": 0.25, + "learning_rate": 8.749510585556167e-06, + "loss": 0.9427, + "step": 8619 + }, + { + "epoch": 0.25, + "learning_rate": 8.749195824692876e-06, + "loss": 0.9619, + "step": 8620 + }, + { + "epoch": 0.25, + "learning_rate": 8.748881029883558e-06, + "loss": 0.839, + "step": 8621 + }, + { + "epoch": 0.25, + "learning_rate": 8.748566201131063e-06, + "loss": 0.7189, + "step": 8622 + }, + { + "epoch": 0.25, + "learning_rate": 8.748251338438241e-06, + "loss": 0.6515, + "step": 8623 + }, + { + "epoch": 0.25, + "learning_rate": 8.747936441807945e-06, + "loss": 0.8016, + "step": 8624 + }, + { + "epoch": 0.25, + "learning_rate": 8.747621511243022e-06, + "loss": 0.7296, + "step": 8625 + }, + { + "epoch": 0.25, + "learning_rate": 8.747306546746327e-06, + "loss": 0.8042, + "step": 8626 + }, + { + "epoch": 0.25, + "learning_rate": 8.746991548320708e-06, + "loss": 0.8064, + "step": 8627 + }, + { + "epoch": 0.25, + "learning_rate": 8.746676515969022e-06, + "loss": 0.8202, + "step": 8628 + }, + { + "epoch": 0.25, + "learning_rate": 8.746361449694118e-06, + "loss": 0.8245, + "step": 8629 + }, + { + "epoch": 0.25, + "learning_rate": 8.746046349498852e-06, + "loss": 0.7535, + "step": 8630 + }, + { + "epoch": 0.25, + "learning_rate": 8.745731215386072e-06, + "loss": 0.6689, + "step": 8631 + }, + { + "epoch": 0.25, + "learning_rate": 8.745416047358635e-06, + "loss": 0.5999, + "step": 8632 + }, + { + "epoch": 0.25, + "learning_rate": 8.745100845419392e-06, + "loss": 0.7459, + "step": 8633 + }, + { + "epoch": 0.25, + "learning_rate": 8.7447856095712e-06, + "loss": 0.6405, + "step": 8634 + }, + { + "epoch": 0.25, + "learning_rate": 8.74447033981691e-06, + "loss": 0.6853, + "step": 8635 + }, + { + "epoch": 0.25, + "learning_rate": 8.744155036159378e-06, + "loss": 0.7037, + "step": 8636 + }, + { + "epoch": 0.25, + "learning_rate": 8.743839698601461e-06, + "loss": 0.4398, + "step": 8637 + }, + { + "epoch": 0.25, + "learning_rate": 8.74352432714601e-06, + "loss": 0.6077, + "step": 8638 + }, + { + "epoch": 0.25, + "learning_rate": 8.743208921795885e-06, + "loss": 0.705, + "step": 8639 + }, + { + "epoch": 0.25, + "learning_rate": 8.742893482553938e-06, + "loss": 0.822, + "step": 8640 + }, + { + "epoch": 0.25, + "learning_rate": 8.742578009423026e-06, + "loss": 0.9391, + "step": 8641 + }, + { + "epoch": 0.25, + "learning_rate": 8.742262502406006e-06, + "loss": 0.5987, + "step": 8642 + }, + { + "epoch": 0.25, + "learning_rate": 8.741946961505734e-06, + "loss": 0.7225, + "step": 8643 + }, + { + "epoch": 0.25, + "learning_rate": 8.741631386725067e-06, + "loss": 0.8515, + "step": 8644 + }, + { + "epoch": 0.25, + "learning_rate": 8.741315778066864e-06, + "loss": 0.7956, + "step": 8645 + }, + { + "epoch": 0.25, + "learning_rate": 8.741000135533979e-06, + "loss": 0.914, + "step": 8646 + }, + { + "epoch": 0.25, + "learning_rate": 8.740684459129275e-06, + "loss": 0.5143, + "step": 8647 + }, + { + "epoch": 0.25, + "learning_rate": 8.740368748855604e-06, + "loss": 0.8371, + "step": 8648 + }, + { + "epoch": 0.25, + "learning_rate": 8.74005300471583e-06, + "loss": 0.4734, + "step": 8649 + }, + { + "epoch": 0.25, + "learning_rate": 8.739737226712808e-06, + "loss": 0.8402, + "step": 8650 + }, + { + "epoch": 0.25, + "learning_rate": 8.739421414849401e-06, + "loss": 0.5879, + "step": 8651 + }, + { + "epoch": 0.25, + "learning_rate": 8.739105569128465e-06, + "loss": 0.5663, + "step": 8652 + }, + { + "epoch": 0.25, + "learning_rate": 8.73878968955286e-06, + "loss": 0.7801, + "step": 8653 + }, + { + "epoch": 0.25, + "learning_rate": 8.73847377612545e-06, + "loss": 0.6561, + "step": 8654 + }, + { + "epoch": 0.25, + "learning_rate": 8.738157828849089e-06, + "loss": 0.5522, + "step": 8655 + }, + { + "epoch": 0.25, + "learning_rate": 8.737841847726642e-06, + "loss": 0.6927, + "step": 8656 + }, + { + "epoch": 0.25, + "learning_rate": 8.73752583276097e-06, + "loss": 0.627, + "step": 8657 + }, + { + "epoch": 0.25, + "learning_rate": 8.73720978395493e-06, + "loss": 0.8797, + "step": 8658 + }, + { + "epoch": 0.25, + "learning_rate": 8.73689370131139e-06, + "loss": 0.7365, + "step": 8659 + }, + { + "epoch": 0.25, + "learning_rate": 8.736577584833206e-06, + "loss": 0.586, + "step": 8660 + }, + { + "epoch": 0.25, + "learning_rate": 8.736261434523246e-06, + "loss": 0.8036, + "step": 8661 + }, + { + "epoch": 0.25, + "learning_rate": 8.735945250384368e-06, + "loss": 0.6431, + "step": 8662 + }, + { + "epoch": 0.25, + "learning_rate": 8.735629032419435e-06, + "loss": 0.8145, + "step": 8663 + }, + { + "epoch": 0.25, + "learning_rate": 8.735312780631313e-06, + "loss": 0.5942, + "step": 8664 + }, + { + "epoch": 0.25, + "learning_rate": 8.734996495022862e-06, + "loss": 0.8562, + "step": 8665 + }, + { + "epoch": 0.25, + "learning_rate": 8.734680175596948e-06, + "loss": 0.7778, + "step": 8666 + }, + { + "epoch": 0.25, + "learning_rate": 8.734363822356432e-06, + "loss": 0.6131, + "step": 8667 + }, + { + "epoch": 0.25, + "learning_rate": 8.734047435304186e-06, + "loss": 0.5521, + "step": 8668 + }, + { + "epoch": 0.25, + "learning_rate": 8.733731014443066e-06, + "loss": 0.6454, + "step": 8669 + }, + { + "epoch": 0.25, + "learning_rate": 8.73341455977594e-06, + "loss": 0.8169, + "step": 8670 + }, + { + "epoch": 0.25, + "learning_rate": 8.733098071305675e-06, + "loss": 0.7106, + "step": 8671 + }, + { + "epoch": 0.25, + "learning_rate": 8.732781549035134e-06, + "loss": 0.7378, + "step": 8672 + }, + { + "epoch": 0.25, + "learning_rate": 8.732464992967184e-06, + "loss": 0.6734, + "step": 8673 + }, + { + "epoch": 0.25, + "learning_rate": 8.732148403104691e-06, + "loss": 0.5712, + "step": 8674 + }, + { + "epoch": 0.25, + "learning_rate": 8.731831779450521e-06, + "loss": 0.8925, + "step": 8675 + }, + { + "epoch": 0.25, + "learning_rate": 8.731515122007543e-06, + "loss": 0.8573, + "step": 8676 + }, + { + "epoch": 0.25, + "learning_rate": 8.731198430778622e-06, + "loss": 0.5436, + "step": 8677 + }, + { + "epoch": 0.25, + "learning_rate": 8.730881705766625e-06, + "loss": 0.7668, + "step": 8678 + }, + { + "epoch": 0.25, + "learning_rate": 8.730564946974421e-06, + "loss": 0.679, + "step": 8679 + }, + { + "epoch": 0.26, + "learning_rate": 8.730248154404878e-06, + "loss": 0.7593, + "step": 8680 + }, + { + "epoch": 0.26, + "learning_rate": 8.729931328060864e-06, + "loss": 0.8336, + "step": 8681 + }, + { + "epoch": 0.26, + "learning_rate": 8.729614467945246e-06, + "loss": 0.742, + "step": 8682 + }, + { + "epoch": 0.26, + "learning_rate": 8.729297574060896e-06, + "loss": 0.8498, + "step": 8683 + }, + { + "epoch": 0.26, + "learning_rate": 8.72898064641068e-06, + "loss": 0.5987, + "step": 8684 + }, + { + "epoch": 0.26, + "learning_rate": 8.728663684997471e-06, + "loss": 0.7026, + "step": 8685 + }, + { + "epoch": 0.26, + "learning_rate": 8.728346689824137e-06, + "loss": 0.8227, + "step": 8686 + }, + { + "epoch": 0.26, + "learning_rate": 8.728029660893547e-06, + "loss": 0.7536, + "step": 8687 + }, + { + "epoch": 0.26, + "learning_rate": 8.727712598208571e-06, + "loss": 0.5172, + "step": 8688 + }, + { + "epoch": 0.26, + "learning_rate": 8.727395501772084e-06, + "loss": 0.794, + "step": 8689 + }, + { + "epoch": 0.26, + "learning_rate": 8.727078371586953e-06, + "loss": 0.8807, + "step": 8690 + }, + { + "epoch": 0.26, + "learning_rate": 8.726761207656052e-06, + "loss": 0.801, + "step": 8691 + }, + { + "epoch": 0.26, + "learning_rate": 8.726444009982251e-06, + "loss": 0.6808, + "step": 8692 + }, + { + "epoch": 0.26, + "learning_rate": 8.726126778568421e-06, + "loss": 0.9351, + "step": 8693 + }, + { + "epoch": 0.26, + "learning_rate": 8.725809513417437e-06, + "loss": 0.7637, + "step": 8694 + }, + { + "epoch": 0.26, + "learning_rate": 8.72549221453217e-06, + "loss": 0.76, + "step": 8695 + }, + { + "epoch": 0.26, + "learning_rate": 8.725174881915493e-06, + "loss": 0.5727, + "step": 8696 + }, + { + "epoch": 0.26, + "learning_rate": 8.72485751557028e-06, + "loss": 0.8259, + "step": 8697 + }, + { + "epoch": 0.26, + "learning_rate": 8.724540115499402e-06, + "loss": 0.7257, + "step": 8698 + }, + { + "epoch": 0.26, + "learning_rate": 8.724222681705737e-06, + "loss": 0.5972, + "step": 8699 + }, + { + "epoch": 0.26, + "learning_rate": 8.723905214192154e-06, + "loss": 0.9579, + "step": 8700 + }, + { + "epoch": 0.26, + "learning_rate": 8.723587712961533e-06, + "loss": 0.7676, + "step": 8701 + }, + { + "epoch": 0.26, + "learning_rate": 8.723270178016745e-06, + "loss": 0.7541, + "step": 8702 + }, + { + "epoch": 0.26, + "learning_rate": 8.722952609360667e-06, + "loss": 0.984, + "step": 8703 + }, + { + "epoch": 0.26, + "learning_rate": 8.722635006996171e-06, + "loss": 0.6102, + "step": 8704 + }, + { + "epoch": 0.26, + "learning_rate": 8.722317370926135e-06, + "loss": 0.7734, + "step": 8705 + }, + { + "epoch": 0.26, + "learning_rate": 8.721999701153436e-06, + "loss": 0.7156, + "step": 8706 + }, + { + "epoch": 0.26, + "learning_rate": 8.721681997680948e-06, + "loss": 0.7748, + "step": 8707 + }, + { + "epoch": 0.26, + "learning_rate": 8.721364260511552e-06, + "loss": 0.5136, + "step": 8708 + }, + { + "epoch": 0.26, + "learning_rate": 8.721046489648118e-06, + "loss": 0.9151, + "step": 8709 + }, + { + "epoch": 0.26, + "learning_rate": 8.720728685093529e-06, + "loss": 0.862, + "step": 8710 + }, + { + "epoch": 0.26, + "learning_rate": 8.720410846850658e-06, + "loss": 0.8857, + "step": 8711 + }, + { + "epoch": 0.26, + "learning_rate": 8.720092974922386e-06, + "loss": 0.6076, + "step": 8712 + }, + { + "epoch": 0.26, + "learning_rate": 8.71977506931159e-06, + "loss": 0.6631, + "step": 8713 + }, + { + "epoch": 0.26, + "learning_rate": 8.719457130021149e-06, + "loss": 0.5817, + "step": 8714 + }, + { + "epoch": 0.26, + "learning_rate": 8.71913915705394e-06, + "loss": 0.759, + "step": 8715 + }, + { + "epoch": 0.26, + "learning_rate": 8.718821150412844e-06, + "loss": 0.7402, + "step": 8716 + }, + { + "epoch": 0.26, + "learning_rate": 8.718503110100739e-06, + "loss": 0.7902, + "step": 8717 + }, + { + "epoch": 0.26, + "learning_rate": 8.718185036120505e-06, + "loss": 1.082, + "step": 8718 + }, + { + "epoch": 0.26, + "learning_rate": 8.717866928475021e-06, + "loss": 0.931, + "step": 8719 + }, + { + "epoch": 0.26, + "learning_rate": 8.71754878716717e-06, + "loss": 0.6868, + "step": 8720 + }, + { + "epoch": 0.26, + "learning_rate": 8.71723061219983e-06, + "loss": 0.6935, + "step": 8721 + }, + { + "epoch": 0.26, + "learning_rate": 8.716912403575882e-06, + "loss": 0.7538, + "step": 8722 + }, + { + "epoch": 0.26, + "learning_rate": 8.716594161298208e-06, + "loss": 0.6595, + "step": 8723 + }, + { + "epoch": 0.26, + "learning_rate": 8.716275885369689e-06, + "loss": 0.6518, + "step": 8724 + }, + { + "epoch": 0.26, + "learning_rate": 8.715957575793207e-06, + "loss": 0.5772, + "step": 8725 + }, + { + "epoch": 0.26, + "learning_rate": 8.715639232571644e-06, + "loss": 0.756, + "step": 8726 + }, + { + "epoch": 0.26, + "learning_rate": 8.71532085570788e-06, + "loss": 0.5846, + "step": 8727 + }, + { + "epoch": 0.26, + "learning_rate": 8.715002445204804e-06, + "loss": 0.8865, + "step": 8728 + }, + { + "epoch": 0.26, + "learning_rate": 8.71468400106529e-06, + "loss": 0.7345, + "step": 8729 + }, + { + "epoch": 0.26, + "learning_rate": 8.71436552329223e-06, + "loss": 0.688, + "step": 8730 + }, + { + "epoch": 0.26, + "learning_rate": 8.7140470118885e-06, + "loss": 0.7593, + "step": 8731 + }, + { + "epoch": 0.26, + "learning_rate": 8.71372846685699e-06, + "loss": 0.8078, + "step": 8732 + }, + { + "epoch": 0.26, + "learning_rate": 8.713409888200581e-06, + "loss": 0.8653, + "step": 8733 + }, + { + "epoch": 0.26, + "learning_rate": 8.713091275922158e-06, + "loss": 0.7475, + "step": 8734 + }, + { + "epoch": 0.26, + "learning_rate": 8.712772630024608e-06, + "loss": 0.7281, + "step": 8735 + }, + { + "epoch": 0.26, + "learning_rate": 8.71245395051081e-06, + "loss": 0.6998, + "step": 8736 + }, + { + "epoch": 0.26, + "learning_rate": 8.712135237383657e-06, + "loss": 0.8009, + "step": 8737 + }, + { + "epoch": 0.26, + "learning_rate": 8.71181649064603e-06, + "loss": 0.7988, + "step": 8738 + }, + { + "epoch": 0.26, + "learning_rate": 8.711497710300816e-06, + "loss": 0.5112, + "step": 8739 + }, + { + "epoch": 0.26, + "learning_rate": 8.7111788963509e-06, + "loss": 0.5419, + "step": 8740 + }, + { + "epoch": 0.26, + "learning_rate": 8.710860048799173e-06, + "loss": 1.2819, + "step": 8741 + }, + { + "epoch": 0.26, + "learning_rate": 8.710541167648516e-06, + "loss": 0.473, + "step": 8742 + }, + { + "epoch": 0.26, + "learning_rate": 8.71022225290182e-06, + "loss": 0.7997, + "step": 8743 + }, + { + "epoch": 0.26, + "learning_rate": 8.709903304561973e-06, + "loss": 0.8802, + "step": 8744 + }, + { + "epoch": 0.26, + "learning_rate": 8.709584322631861e-06, + "loss": 0.8397, + "step": 8745 + }, + { + "epoch": 0.26, + "learning_rate": 8.709265307114373e-06, + "loss": 0.6967, + "step": 8746 + }, + { + "epoch": 0.26, + "learning_rate": 8.708946258012393e-06, + "loss": 0.7188, + "step": 8747 + }, + { + "epoch": 0.26, + "learning_rate": 8.708627175328819e-06, + "loss": 0.7124, + "step": 8748 + }, + { + "epoch": 0.26, + "learning_rate": 8.708308059066533e-06, + "loss": 0.6861, + "step": 8749 + }, + { + "epoch": 0.26, + "learning_rate": 8.707988909228426e-06, + "loss": 0.5699, + "step": 8750 + }, + { + "epoch": 0.26, + "learning_rate": 8.707669725817387e-06, + "loss": 0.9739, + "step": 8751 + }, + { + "epoch": 0.26, + "learning_rate": 8.707350508836307e-06, + "loss": 0.7147, + "step": 8752 + }, + { + "epoch": 0.26, + "learning_rate": 8.707031258288077e-06, + "loss": 0.6597, + "step": 8753 + }, + { + "epoch": 0.26, + "learning_rate": 8.706711974175589e-06, + "loss": 0.9112, + "step": 8754 + }, + { + "epoch": 0.26, + "learning_rate": 8.706392656501727e-06, + "loss": 0.7068, + "step": 8755 + }, + { + "epoch": 0.26, + "learning_rate": 8.706073305269389e-06, + "loss": 0.8314, + "step": 8756 + }, + { + "epoch": 0.26, + "learning_rate": 8.705753920481463e-06, + "loss": 0.8733, + "step": 8757 + }, + { + "epoch": 0.26, + "learning_rate": 8.705434502140844e-06, + "loss": 0.7238, + "step": 8758 + }, + { + "epoch": 0.26, + "learning_rate": 8.70511505025042e-06, + "loss": 0.8936, + "step": 8759 + }, + { + "epoch": 0.26, + "learning_rate": 8.704795564813087e-06, + "loss": 0.8186, + "step": 8760 + }, + { + "epoch": 0.26, + "learning_rate": 8.704476045831733e-06, + "loss": 0.9275, + "step": 8761 + }, + { + "epoch": 0.26, + "learning_rate": 8.704156493309258e-06, + "loss": 0.7953, + "step": 8762 + }, + { + "epoch": 0.26, + "learning_rate": 8.703836907248548e-06, + "loss": 0.6615, + "step": 8763 + }, + { + "epoch": 0.26, + "learning_rate": 8.703517287652503e-06, + "loss": 1.0114, + "step": 8764 + }, + { + "epoch": 0.26, + "learning_rate": 8.703197634524012e-06, + "loss": 0.7819, + "step": 8765 + }, + { + "epoch": 0.26, + "learning_rate": 8.702877947865972e-06, + "loss": 0.8443, + "step": 8766 + }, + { + "epoch": 0.26, + "learning_rate": 8.702558227681276e-06, + "loss": 0.7262, + "step": 8767 + }, + { + "epoch": 0.26, + "learning_rate": 8.702238473972819e-06, + "loss": 0.7474, + "step": 8768 + }, + { + "epoch": 0.26, + "learning_rate": 8.701918686743498e-06, + "loss": 0.7081, + "step": 8769 + }, + { + "epoch": 0.26, + "learning_rate": 8.701598865996205e-06, + "loss": 0.7303, + "step": 8770 + }, + { + "epoch": 0.26, + "learning_rate": 8.701279011733839e-06, + "loss": 0.6873, + "step": 8771 + }, + { + "epoch": 0.26, + "learning_rate": 8.700959123959294e-06, + "loss": 0.7109, + "step": 8772 + }, + { + "epoch": 0.26, + "learning_rate": 8.700639202675468e-06, + "loss": 0.7376, + "step": 8773 + }, + { + "epoch": 0.26, + "learning_rate": 8.700319247885257e-06, + "loss": 0.9675, + "step": 8774 + }, + { + "epoch": 0.26, + "learning_rate": 8.699999259591556e-06, + "loss": 0.6868, + "step": 8775 + }, + { + "epoch": 0.26, + "learning_rate": 8.699679237797265e-06, + "loss": 0.6313, + "step": 8776 + }, + { + "epoch": 0.26, + "learning_rate": 8.699359182505281e-06, + "loss": 0.8553, + "step": 8777 + }, + { + "epoch": 0.26, + "learning_rate": 8.6990390937185e-06, + "loss": 0.7492, + "step": 8778 + }, + { + "epoch": 0.26, + "learning_rate": 8.698718971439822e-06, + "loss": 0.876, + "step": 8779 + }, + { + "epoch": 0.26, + "learning_rate": 8.698398815672143e-06, + "loss": 0.9926, + "step": 8780 + }, + { + "epoch": 0.26, + "learning_rate": 8.698078626418365e-06, + "loss": 0.9665, + "step": 8781 + }, + { + "epoch": 0.26, + "learning_rate": 8.697758403681386e-06, + "loss": 0.634, + "step": 8782 + }, + { + "epoch": 0.26, + "learning_rate": 8.697438147464106e-06, + "loss": 0.6806, + "step": 8783 + }, + { + "epoch": 0.26, + "learning_rate": 8.697117857769422e-06, + "loss": 1.0612, + "step": 8784 + }, + { + "epoch": 0.26, + "learning_rate": 8.696797534600236e-06, + "loss": 0.9761, + "step": 8785 + }, + { + "epoch": 0.26, + "learning_rate": 8.696477177959448e-06, + "loss": 0.6429, + "step": 8786 + }, + { + "epoch": 0.26, + "learning_rate": 8.69615678784996e-06, + "loss": 0.687, + "step": 8787 + }, + { + "epoch": 0.26, + "learning_rate": 8.69583636427467e-06, + "loss": 0.6147, + "step": 8788 + }, + { + "epoch": 0.26, + "learning_rate": 8.69551590723648e-06, + "loss": 0.9022, + "step": 8789 + }, + { + "epoch": 0.26, + "learning_rate": 8.695195416738293e-06, + "loss": 0.7805, + "step": 8790 + }, + { + "epoch": 0.26, + "learning_rate": 8.69487489278301e-06, + "loss": 0.6677, + "step": 8791 + }, + { + "epoch": 0.26, + "learning_rate": 8.694554335373533e-06, + "loss": 0.8337, + "step": 8792 + }, + { + "epoch": 0.26, + "learning_rate": 8.694233744512766e-06, + "loss": 0.8761, + "step": 8793 + }, + { + "epoch": 0.26, + "learning_rate": 8.693913120203608e-06, + "loss": 0.7408, + "step": 8794 + }, + { + "epoch": 0.26, + "learning_rate": 8.693592462448963e-06, + "loss": 0.7543, + "step": 8795 + }, + { + "epoch": 0.26, + "learning_rate": 8.693271771251738e-06, + "loss": 0.7711, + "step": 8796 + }, + { + "epoch": 0.26, + "learning_rate": 8.692951046614833e-06, + "loss": 0.7712, + "step": 8797 + }, + { + "epoch": 0.26, + "learning_rate": 8.692630288541153e-06, + "loss": 0.7399, + "step": 8798 + }, + { + "epoch": 0.26, + "learning_rate": 8.692309497033602e-06, + "loss": 0.7394, + "step": 8799 + }, + { + "epoch": 0.26, + "learning_rate": 8.691988672095085e-06, + "loss": 0.689, + "step": 8800 + }, + { + "epoch": 0.26, + "learning_rate": 8.691667813728504e-06, + "loss": 0.886, + "step": 8801 + }, + { + "epoch": 0.26, + "learning_rate": 8.691346921936769e-06, + "loss": 0.7944, + "step": 8802 + }, + { + "epoch": 0.26, + "learning_rate": 8.691025996722782e-06, + "loss": 0.8725, + "step": 8803 + }, + { + "epoch": 0.26, + "learning_rate": 8.69070503808945e-06, + "loss": 1.1574, + "step": 8804 + }, + { + "epoch": 0.26, + "learning_rate": 8.69038404603968e-06, + "loss": 0.848, + "step": 8805 + }, + { + "epoch": 0.26, + "learning_rate": 8.690063020576376e-06, + "loss": 1.0112, + "step": 8806 + }, + { + "epoch": 0.26, + "learning_rate": 8.689741961702444e-06, + "loss": 0.8026, + "step": 8807 + }, + { + "epoch": 0.26, + "learning_rate": 8.689420869420795e-06, + "loss": 0.8024, + "step": 8808 + }, + { + "epoch": 0.26, + "learning_rate": 8.689099743734335e-06, + "loss": 0.9432, + "step": 8809 + }, + { + "epoch": 0.26, + "learning_rate": 8.688778584645968e-06, + "loss": 0.7925, + "step": 8810 + }, + { + "epoch": 0.26, + "learning_rate": 8.688457392158605e-06, + "loss": 0.796, + "step": 8811 + }, + { + "epoch": 0.26, + "learning_rate": 8.688136166275154e-06, + "loss": 0.6107, + "step": 8812 + }, + { + "epoch": 0.26, + "learning_rate": 8.687814906998521e-06, + "loss": 0.7715, + "step": 8813 + }, + { + "epoch": 0.26, + "learning_rate": 8.68749361433162e-06, + "loss": 0.644, + "step": 8814 + }, + { + "epoch": 0.26, + "learning_rate": 8.687172288277352e-06, + "loss": 0.8236, + "step": 8815 + }, + { + "epoch": 0.26, + "learning_rate": 8.686850928838635e-06, + "loss": 0.6904, + "step": 8816 + }, + { + "epoch": 0.26, + "learning_rate": 8.686529536018373e-06, + "loss": 0.649, + "step": 8817 + }, + { + "epoch": 0.26, + "learning_rate": 8.686208109819479e-06, + "loss": 0.7833, + "step": 8818 + }, + { + "epoch": 0.26, + "learning_rate": 8.685886650244858e-06, + "loss": 0.8147, + "step": 8819 + }, + { + "epoch": 0.26, + "learning_rate": 8.685565157297428e-06, + "loss": 1.1202, + "step": 8820 + }, + { + "epoch": 0.26, + "learning_rate": 8.685243630980096e-06, + "loss": 0.7275, + "step": 8821 + }, + { + "epoch": 0.26, + "learning_rate": 8.684922071295774e-06, + "loss": 0.6885, + "step": 8822 + }, + { + "epoch": 0.26, + "learning_rate": 8.684600478247372e-06, + "loss": 0.8123, + "step": 8823 + }, + { + "epoch": 0.26, + "learning_rate": 8.684278851837803e-06, + "loss": 0.6124, + "step": 8824 + }, + { + "epoch": 0.26, + "learning_rate": 8.683957192069978e-06, + "loss": 0.9028, + "step": 8825 + }, + { + "epoch": 0.26, + "learning_rate": 8.683635498946813e-06, + "loss": 0.7597, + "step": 8826 + }, + { + "epoch": 0.26, + "learning_rate": 8.683313772471213e-06, + "loss": 0.9472, + "step": 8827 + }, + { + "epoch": 0.26, + "learning_rate": 8.6829920126461e-06, + "loss": 0.6662, + "step": 8828 + }, + { + "epoch": 0.26, + "learning_rate": 8.682670219474382e-06, + "loss": 0.723, + "step": 8829 + }, + { + "epoch": 0.26, + "learning_rate": 8.682348392958972e-06, + "loss": 0.8769, + "step": 8830 + }, + { + "epoch": 0.26, + "learning_rate": 8.682026533102788e-06, + "loss": 0.7732, + "step": 8831 + }, + { + "epoch": 0.26, + "learning_rate": 8.68170463990874e-06, + "loss": 0.7535, + "step": 8832 + }, + { + "epoch": 0.26, + "learning_rate": 8.681382713379748e-06, + "loss": 0.6396, + "step": 8833 + }, + { + "epoch": 0.26, + "learning_rate": 8.681060753518719e-06, + "loss": 0.8513, + "step": 8834 + }, + { + "epoch": 0.26, + "learning_rate": 8.680738760328573e-06, + "loss": 1.015, + "step": 8835 + }, + { + "epoch": 0.26, + "learning_rate": 8.680416733812225e-06, + "loss": 0.792, + "step": 8836 + }, + { + "epoch": 0.26, + "learning_rate": 8.68009467397259e-06, + "loss": 0.7004, + "step": 8837 + }, + { + "epoch": 0.26, + "learning_rate": 8.679772580812585e-06, + "loss": 0.8901, + "step": 8838 + }, + { + "epoch": 0.26, + "learning_rate": 8.679450454335126e-06, + "loss": 0.7687, + "step": 8839 + }, + { + "epoch": 0.26, + "learning_rate": 8.679128294543127e-06, + "loss": 0.9099, + "step": 8840 + }, + { + "epoch": 0.26, + "learning_rate": 8.678806101439509e-06, + "loss": 0.6893, + "step": 8841 + }, + { + "epoch": 0.26, + "learning_rate": 8.678483875027186e-06, + "loss": 0.7093, + "step": 8842 + }, + { + "epoch": 0.26, + "learning_rate": 8.67816161530908e-06, + "loss": 0.6963, + "step": 8843 + }, + { + "epoch": 0.26, + "learning_rate": 8.677839322288102e-06, + "loss": 0.6045, + "step": 8844 + }, + { + "epoch": 0.26, + "learning_rate": 8.677516995967174e-06, + "loss": 1.1185, + "step": 8845 + }, + { + "epoch": 0.26, + "learning_rate": 8.677194636349215e-06, + "loss": 0.7541, + "step": 8846 + }, + { + "epoch": 0.26, + "learning_rate": 8.676872243437144e-06, + "loss": 0.6617, + "step": 8847 + }, + { + "epoch": 0.26, + "learning_rate": 8.676549817233877e-06, + "loss": 0.6365, + "step": 8848 + }, + { + "epoch": 0.26, + "learning_rate": 8.676227357742335e-06, + "loss": 0.7602, + "step": 8849 + }, + { + "epoch": 0.26, + "learning_rate": 8.675904864965438e-06, + "loss": 0.8754, + "step": 8850 + }, + { + "epoch": 0.26, + "learning_rate": 8.675582338906108e-06, + "loss": 0.6291, + "step": 8851 + }, + { + "epoch": 0.26, + "learning_rate": 8.67525977956726e-06, + "loss": 0.753, + "step": 8852 + }, + { + "epoch": 0.26, + "learning_rate": 8.67493718695182e-06, + "loss": 0.4385, + "step": 8853 + }, + { + "epoch": 0.26, + "learning_rate": 8.674614561062705e-06, + "loss": 0.6743, + "step": 8854 + }, + { + "epoch": 0.26, + "learning_rate": 8.674291901902837e-06, + "loss": 0.8209, + "step": 8855 + }, + { + "epoch": 0.26, + "learning_rate": 8.673969209475138e-06, + "loss": 0.696, + "step": 8856 + }, + { + "epoch": 0.26, + "learning_rate": 8.67364648378253e-06, + "loss": 1.0651, + "step": 8857 + }, + { + "epoch": 0.26, + "learning_rate": 8.673323724827935e-06, + "loss": 0.5451, + "step": 8858 + }, + { + "epoch": 0.26, + "learning_rate": 8.673000932614273e-06, + "loss": 0.7792, + "step": 8859 + }, + { + "epoch": 0.26, + "learning_rate": 8.67267810714447e-06, + "loss": 0.9464, + "step": 8860 + }, + { + "epoch": 0.26, + "learning_rate": 8.672355248421447e-06, + "loss": 0.8075, + "step": 8861 + }, + { + "epoch": 0.26, + "learning_rate": 8.672032356448127e-06, + "loss": 0.9704, + "step": 8862 + }, + { + "epoch": 0.26, + "learning_rate": 8.671709431227436e-06, + "loss": 0.8396, + "step": 8863 + }, + { + "epoch": 0.26, + "learning_rate": 8.671386472762295e-06, + "loss": 1.0826, + "step": 8864 + }, + { + "epoch": 0.26, + "learning_rate": 8.671063481055631e-06, + "loss": 0.7096, + "step": 8865 + }, + { + "epoch": 0.26, + "learning_rate": 8.670740456110365e-06, + "loss": 0.5764, + "step": 8866 + }, + { + "epoch": 0.26, + "learning_rate": 8.670417397929423e-06, + "loss": 0.8187, + "step": 8867 + }, + { + "epoch": 0.26, + "learning_rate": 8.67009430651573e-06, + "loss": 1.1109, + "step": 8868 + }, + { + "epoch": 0.26, + "learning_rate": 8.669771181872213e-06, + "loss": 0.8799, + "step": 8869 + }, + { + "epoch": 0.26, + "learning_rate": 8.669448024001797e-06, + "loss": 0.5892, + "step": 8870 + }, + { + "epoch": 0.26, + "learning_rate": 8.669124832907404e-06, + "loss": 0.8182, + "step": 8871 + }, + { + "epoch": 0.26, + "learning_rate": 8.668801608591968e-06, + "loss": 0.6943, + "step": 8872 + }, + { + "epoch": 0.26, + "learning_rate": 8.668478351058409e-06, + "loss": 0.5448, + "step": 8873 + }, + { + "epoch": 0.26, + "learning_rate": 8.668155060309655e-06, + "loss": 0.642, + "step": 8874 + }, + { + "epoch": 0.26, + "learning_rate": 8.667831736348636e-06, + "loss": 0.5848, + "step": 8875 + }, + { + "epoch": 0.26, + "learning_rate": 8.667508379178276e-06, + "loss": 0.638, + "step": 8876 + }, + { + "epoch": 0.26, + "learning_rate": 8.667184988801506e-06, + "loss": 0.7618, + "step": 8877 + }, + { + "epoch": 0.26, + "learning_rate": 8.666861565221252e-06, + "loss": 0.774, + "step": 8878 + }, + { + "epoch": 0.26, + "learning_rate": 8.66653810844044e-06, + "loss": 0.5946, + "step": 8879 + }, + { + "epoch": 0.26, + "learning_rate": 8.666214618462004e-06, + "loss": 0.8407, + "step": 8880 + }, + { + "epoch": 0.26, + "learning_rate": 8.66589109528887e-06, + "loss": 0.6178, + "step": 8881 + }, + { + "epoch": 0.26, + "learning_rate": 8.665567538923968e-06, + "loss": 0.9128, + "step": 8882 + }, + { + "epoch": 0.26, + "learning_rate": 8.665243949370225e-06, + "loss": 0.7459, + "step": 8883 + }, + { + "epoch": 0.26, + "learning_rate": 8.664920326630575e-06, + "loss": 0.657, + "step": 8884 + }, + { + "epoch": 0.26, + "learning_rate": 8.664596670707946e-06, + "loss": 0.6706, + "step": 8885 + }, + { + "epoch": 0.26, + "learning_rate": 8.664272981605267e-06, + "loss": 0.599, + "step": 8886 + }, + { + "epoch": 0.26, + "learning_rate": 8.663949259325472e-06, + "loss": 0.7826, + "step": 8887 + }, + { + "epoch": 0.26, + "learning_rate": 8.663625503871489e-06, + "loss": 0.7441, + "step": 8888 + }, + { + "epoch": 0.26, + "learning_rate": 8.66330171524625e-06, + "loss": 0.7611, + "step": 8889 + }, + { + "epoch": 0.26, + "learning_rate": 8.66297789345269e-06, + "loss": 0.6705, + "step": 8890 + }, + { + "epoch": 0.26, + "learning_rate": 8.662654038493736e-06, + "loss": 0.6747, + "step": 8891 + }, + { + "epoch": 0.26, + "learning_rate": 8.662330150372323e-06, + "loss": 0.7999, + "step": 8892 + }, + { + "epoch": 0.26, + "learning_rate": 8.662006229091385e-06, + "loss": 0.7496, + "step": 8893 + }, + { + "epoch": 0.26, + "learning_rate": 8.661682274653851e-06, + "loss": 0.8768, + "step": 8894 + }, + { + "epoch": 0.26, + "learning_rate": 8.661358287062656e-06, + "loss": 0.6317, + "step": 8895 + }, + { + "epoch": 0.26, + "learning_rate": 8.661034266320733e-06, + "loss": 0.7362, + "step": 8896 + }, + { + "epoch": 0.26, + "learning_rate": 8.660710212431019e-06, + "loss": 0.7129, + "step": 8897 + }, + { + "epoch": 0.26, + "learning_rate": 8.660386125396442e-06, + "loss": 0.9611, + "step": 8898 + }, + { + "epoch": 0.26, + "learning_rate": 8.660062005219942e-06, + "loss": 0.8801, + "step": 8899 + }, + { + "epoch": 0.26, + "learning_rate": 8.659737851904451e-06, + "loss": 0.7725, + "step": 8900 + }, + { + "epoch": 0.26, + "learning_rate": 8.659413665452905e-06, + "loss": 0.7044, + "step": 8901 + }, + { + "epoch": 0.26, + "learning_rate": 8.659089445868238e-06, + "loss": 0.9189, + "step": 8902 + }, + { + "epoch": 0.26, + "learning_rate": 8.658765193153385e-06, + "loss": 0.591, + "step": 8903 + }, + { + "epoch": 0.26, + "learning_rate": 8.658440907311284e-06, + "loss": 0.992, + "step": 8904 + }, + { + "epoch": 0.26, + "learning_rate": 8.65811658834487e-06, + "loss": 0.5326, + "step": 8905 + }, + { + "epoch": 0.26, + "learning_rate": 8.65779223625708e-06, + "loss": 0.8337, + "step": 8906 + }, + { + "epoch": 0.26, + "learning_rate": 8.657467851050851e-06, + "loss": 0.686, + "step": 8907 + }, + { + "epoch": 0.26, + "learning_rate": 8.657143432729117e-06, + "loss": 0.6523, + "step": 8908 + }, + { + "epoch": 0.26, + "learning_rate": 8.656818981294819e-06, + "loss": 0.7336, + "step": 8909 + }, + { + "epoch": 0.26, + "learning_rate": 8.656494496750894e-06, + "loss": 0.7632, + "step": 8910 + }, + { + "epoch": 0.26, + "learning_rate": 8.65616997910028e-06, + "loss": 0.7483, + "step": 8911 + }, + { + "epoch": 0.26, + "learning_rate": 8.655845428345912e-06, + "loss": 0.8653, + "step": 8912 + }, + { + "epoch": 0.26, + "learning_rate": 8.655520844490732e-06, + "loss": 0.8447, + "step": 8913 + }, + { + "epoch": 0.26, + "learning_rate": 8.65519622753768e-06, + "loss": 0.6548, + "step": 8914 + }, + { + "epoch": 0.26, + "learning_rate": 8.654871577489692e-06, + "loss": 0.7436, + "step": 8915 + }, + { + "epoch": 0.26, + "learning_rate": 8.65454689434971e-06, + "loss": 0.8536, + "step": 8916 + }, + { + "epoch": 0.26, + "learning_rate": 8.65422217812067e-06, + "loss": 0.737, + "step": 8917 + }, + { + "epoch": 0.26, + "learning_rate": 8.653897428805515e-06, + "loss": 0.6918, + "step": 8918 + }, + { + "epoch": 0.26, + "learning_rate": 8.653572646407185e-06, + "loss": 1.1542, + "step": 8919 + }, + { + "epoch": 0.26, + "learning_rate": 8.65324783092862e-06, + "loss": 0.6448, + "step": 8920 + }, + { + "epoch": 0.26, + "learning_rate": 8.652922982372763e-06, + "loss": 0.5444, + "step": 8921 + }, + { + "epoch": 0.26, + "learning_rate": 8.652598100742552e-06, + "loss": 0.9879, + "step": 8922 + }, + { + "epoch": 0.26, + "learning_rate": 8.65227318604093e-06, + "loss": 0.6236, + "step": 8923 + }, + { + "epoch": 0.26, + "learning_rate": 8.65194823827084e-06, + "loss": 0.7118, + "step": 8924 + }, + { + "epoch": 0.26, + "learning_rate": 8.651623257435224e-06, + "loss": 1.0149, + "step": 8925 + }, + { + "epoch": 0.26, + "learning_rate": 8.651298243537023e-06, + "loss": 0.5609, + "step": 8926 + }, + { + "epoch": 0.26, + "learning_rate": 8.65097319657918e-06, + "loss": 1.1008, + "step": 8927 + }, + { + "epoch": 0.26, + "learning_rate": 8.650648116564637e-06, + "loss": 0.6973, + "step": 8928 + }, + { + "epoch": 0.26, + "learning_rate": 8.65032300349634e-06, + "loss": 0.4773, + "step": 8929 + }, + { + "epoch": 0.26, + "learning_rate": 8.649997857377232e-06, + "loss": 0.9851, + "step": 8930 + }, + { + "epoch": 0.26, + "learning_rate": 8.649672678210256e-06, + "loss": 0.8654, + "step": 8931 + }, + { + "epoch": 0.26, + "learning_rate": 8.649347465998356e-06, + "loss": 0.9146, + "step": 8932 + }, + { + "epoch": 0.26, + "learning_rate": 8.649022220744477e-06, + "loss": 0.7779, + "step": 8933 + }, + { + "epoch": 0.26, + "learning_rate": 8.648696942451566e-06, + "loss": 0.7633, + "step": 8934 + }, + { + "epoch": 0.26, + "learning_rate": 8.648371631122564e-06, + "loss": 0.7931, + "step": 8935 + }, + { + "epoch": 0.26, + "learning_rate": 8.64804628676042e-06, + "loss": 0.6595, + "step": 8936 + }, + { + "epoch": 0.26, + "learning_rate": 8.647720909368077e-06, + "loss": 0.7226, + "step": 8937 + }, + { + "epoch": 0.26, + "learning_rate": 8.647395498948482e-06, + "loss": 0.7741, + "step": 8938 + }, + { + "epoch": 0.26, + "learning_rate": 8.647070055504584e-06, + "loss": 0.824, + "step": 8939 + }, + { + "epoch": 0.26, + "learning_rate": 8.646744579039324e-06, + "loss": 0.6752, + "step": 8940 + }, + { + "epoch": 0.26, + "learning_rate": 8.646419069555653e-06, + "loss": 0.6352, + "step": 8941 + }, + { + "epoch": 0.26, + "learning_rate": 8.64609352705652e-06, + "loss": 0.4447, + "step": 8942 + }, + { + "epoch": 0.26, + "learning_rate": 8.645767951544867e-06, + "loss": 0.8238, + "step": 8943 + }, + { + "epoch": 0.26, + "learning_rate": 8.645442343023646e-06, + "loss": 0.6237, + "step": 8944 + }, + { + "epoch": 0.26, + "learning_rate": 8.645116701495806e-06, + "loss": 0.965, + "step": 8945 + }, + { + "epoch": 0.26, + "learning_rate": 8.64479102696429e-06, + "loss": 0.6029, + "step": 8946 + }, + { + "epoch": 0.26, + "learning_rate": 8.644465319432053e-06, + "loss": 0.7672, + "step": 8947 + }, + { + "epoch": 0.26, + "learning_rate": 8.64413957890204e-06, + "loss": 0.7156, + "step": 8948 + }, + { + "epoch": 0.26, + "learning_rate": 8.643813805377201e-06, + "loss": 0.8457, + "step": 8949 + }, + { + "epoch": 0.26, + "learning_rate": 8.643487998860487e-06, + "loss": 0.6296, + "step": 8950 + }, + { + "epoch": 0.26, + "learning_rate": 8.643162159354846e-06, + "loss": 0.7348, + "step": 8951 + }, + { + "epoch": 0.26, + "learning_rate": 8.642836286863228e-06, + "loss": 0.7874, + "step": 8952 + }, + { + "epoch": 0.26, + "learning_rate": 8.642510381388587e-06, + "loss": 0.6758, + "step": 8953 + }, + { + "epoch": 0.26, + "learning_rate": 8.64218444293387e-06, + "loss": 1.07, + "step": 8954 + }, + { + "epoch": 0.26, + "learning_rate": 8.641858471502031e-06, + "loss": 0.6809, + "step": 8955 + }, + { + "epoch": 0.26, + "learning_rate": 8.64153246709602e-06, + "loss": 0.745, + "step": 8956 + }, + { + "epoch": 0.26, + "learning_rate": 8.641206429718789e-06, + "loss": 0.7509, + "step": 8957 + }, + { + "epoch": 0.26, + "learning_rate": 8.640880359373288e-06, + "loss": 0.6435, + "step": 8958 + }, + { + "epoch": 0.26, + "learning_rate": 8.640554256062472e-06, + "loss": 1.1073, + "step": 8959 + }, + { + "epoch": 0.26, + "learning_rate": 8.640228119789294e-06, + "loss": 0.5993, + "step": 8960 + }, + { + "epoch": 0.26, + "learning_rate": 8.639901950556704e-06, + "loss": 0.6055, + "step": 8961 + }, + { + "epoch": 0.26, + "learning_rate": 8.639575748367659e-06, + "loss": 0.6979, + "step": 8962 + }, + { + "epoch": 0.26, + "learning_rate": 8.639249513225107e-06, + "loss": 0.5534, + "step": 8963 + }, + { + "epoch": 0.26, + "learning_rate": 8.638923245132008e-06, + "loss": 0.7172, + "step": 8964 + }, + { + "epoch": 0.26, + "learning_rate": 8.638596944091313e-06, + "loss": 0.6602, + "step": 8965 + }, + { + "epoch": 0.26, + "learning_rate": 8.638270610105975e-06, + "loss": 0.818, + "step": 8966 + }, + { + "epoch": 0.26, + "learning_rate": 8.637944243178952e-06, + "loss": 1.0323, + "step": 8967 + }, + { + "epoch": 0.26, + "learning_rate": 8.637617843313197e-06, + "loss": 0.7009, + "step": 8968 + }, + { + "epoch": 0.26, + "learning_rate": 8.637291410511665e-06, + "loss": 0.7991, + "step": 8969 + }, + { + "epoch": 0.26, + "learning_rate": 8.636964944777312e-06, + "loss": 0.8792, + "step": 8970 + }, + { + "epoch": 0.26, + "learning_rate": 8.636638446113095e-06, + "loss": 0.6784, + "step": 8971 + }, + { + "epoch": 0.26, + "learning_rate": 8.63631191452197e-06, + "loss": 0.5511, + "step": 8972 + }, + { + "epoch": 0.26, + "learning_rate": 8.635985350006893e-06, + "loss": 0.705, + "step": 8973 + }, + { + "epoch": 0.26, + "learning_rate": 8.63565875257082e-06, + "loss": 0.812, + "step": 8974 + }, + { + "epoch": 0.26, + "learning_rate": 8.635332122216706e-06, + "loss": 0.8893, + "step": 8975 + }, + { + "epoch": 0.26, + "learning_rate": 8.635005458947514e-06, + "loss": 0.5685, + "step": 8976 + }, + { + "epoch": 0.26, + "learning_rate": 8.634678762766198e-06, + "loss": 0.6815, + "step": 8977 + }, + { + "epoch": 0.26, + "learning_rate": 8.634352033675716e-06, + "loss": 0.8001, + "step": 8978 + }, + { + "epoch": 0.26, + "learning_rate": 8.634025271679029e-06, + "loss": 0.7656, + "step": 8979 + }, + { + "epoch": 0.26, + "learning_rate": 8.633698476779092e-06, + "loss": 0.8123, + "step": 8980 + }, + { + "epoch": 0.26, + "learning_rate": 8.633371648978867e-06, + "loss": 0.702, + "step": 8981 + }, + { + "epoch": 0.26, + "learning_rate": 8.633044788281311e-06, + "loss": 0.7677, + "step": 8982 + }, + { + "epoch": 0.26, + "learning_rate": 8.632717894689382e-06, + "loss": 0.6348, + "step": 8983 + }, + { + "epoch": 0.26, + "learning_rate": 8.632390968206043e-06, + "loss": 0.7931, + "step": 8984 + }, + { + "epoch": 0.26, + "learning_rate": 8.632064008834254e-06, + "loss": 0.9114, + "step": 8985 + }, + { + "epoch": 0.26, + "learning_rate": 8.631737016576974e-06, + "loss": 0.9567, + "step": 8986 + }, + { + "epoch": 0.26, + "learning_rate": 8.631409991437163e-06, + "loss": 1.1695, + "step": 8987 + }, + { + "epoch": 0.26, + "learning_rate": 8.631082933417786e-06, + "loss": 0.8063, + "step": 8988 + }, + { + "epoch": 0.26, + "learning_rate": 8.630755842521796e-06, + "loss": 0.65, + "step": 8989 + }, + { + "epoch": 0.26, + "learning_rate": 8.630428718752163e-06, + "loss": 0.9482, + "step": 8990 + }, + { + "epoch": 0.26, + "learning_rate": 8.630101562111845e-06, + "loss": 0.953, + "step": 8991 + }, + { + "epoch": 0.26, + "learning_rate": 8.629774372603804e-06, + "loss": 0.6226, + "step": 8992 + }, + { + "epoch": 0.26, + "learning_rate": 8.629447150231003e-06, + "loss": 0.9757, + "step": 8993 + }, + { + "epoch": 0.26, + "learning_rate": 8.629119894996407e-06, + "loss": 0.797, + "step": 8994 + }, + { + "epoch": 0.26, + "learning_rate": 8.628792606902973e-06, + "loss": 0.8884, + "step": 8995 + }, + { + "epoch": 0.26, + "learning_rate": 8.628465285953673e-06, + "loss": 0.4949, + "step": 8996 + }, + { + "epoch": 0.26, + "learning_rate": 8.628137932151462e-06, + "loss": 0.5782, + "step": 8997 + }, + { + "epoch": 0.26, + "learning_rate": 8.62781054549931e-06, + "loss": 0.7243, + "step": 8998 + }, + { + "epoch": 0.26, + "learning_rate": 8.627483126000178e-06, + "loss": 1.0186, + "step": 8999 + }, + { + "epoch": 0.26, + "learning_rate": 8.627155673657032e-06, + "loss": 0.9368, + "step": 9000 + }, + { + "epoch": 0.26, + "learning_rate": 8.626828188472837e-06, + "loss": 0.8359, + "step": 9001 + }, + { + "epoch": 0.26, + "learning_rate": 8.626500670450557e-06, + "loss": 0.8389, + "step": 9002 + }, + { + "epoch": 0.26, + "learning_rate": 8.626173119593158e-06, + "loss": 0.8388, + "step": 9003 + }, + { + "epoch": 0.26, + "learning_rate": 8.625845535903605e-06, + "loss": 0.7315, + "step": 9004 + }, + { + "epoch": 0.26, + "learning_rate": 8.625517919384866e-06, + "loss": 0.9411, + "step": 9005 + }, + { + "epoch": 0.26, + "learning_rate": 8.625190270039905e-06, + "loss": 0.769, + "step": 9006 + }, + { + "epoch": 0.26, + "learning_rate": 8.62486258787169e-06, + "loss": 0.5068, + "step": 9007 + }, + { + "epoch": 0.26, + "learning_rate": 8.624534872883186e-06, + "loss": 0.917, + "step": 9008 + }, + { + "epoch": 0.26, + "learning_rate": 8.624207125077363e-06, + "loss": 0.7971, + "step": 9009 + }, + { + "epoch": 0.26, + "learning_rate": 8.623879344457186e-06, + "loss": 0.7348, + "step": 9010 + }, + { + "epoch": 0.26, + "learning_rate": 8.623551531025627e-06, + "loss": 0.6849, + "step": 9011 + }, + { + "epoch": 0.26, + "learning_rate": 8.623223684785648e-06, + "loss": 0.8074, + "step": 9012 + }, + { + "epoch": 0.26, + "learning_rate": 8.622895805740221e-06, + "loss": 0.6429, + "step": 9013 + }, + { + "epoch": 0.26, + "learning_rate": 8.622567893892315e-06, + "loss": 0.6841, + "step": 9014 + }, + { + "epoch": 0.26, + "learning_rate": 8.622239949244898e-06, + "loss": 1.1125, + "step": 9015 + }, + { + "epoch": 0.26, + "learning_rate": 8.62191197180094e-06, + "loss": 0.9122, + "step": 9016 + }, + { + "epoch": 0.26, + "learning_rate": 8.621583961563409e-06, + "loss": 0.6422, + "step": 9017 + }, + { + "epoch": 0.26, + "learning_rate": 8.621255918535276e-06, + "loss": 0.4965, + "step": 9018 + }, + { + "epoch": 0.26, + "learning_rate": 8.620927842719511e-06, + "loss": 0.8557, + "step": 9019 + }, + { + "epoch": 0.26, + "learning_rate": 8.620599734119085e-06, + "loss": 0.731, + "step": 9020 + }, + { + "epoch": 0.27, + "learning_rate": 8.620271592736968e-06, + "loss": 0.7303, + "step": 9021 + }, + { + "epoch": 0.27, + "learning_rate": 8.619943418576131e-06, + "loss": 1.0111, + "step": 9022 + }, + { + "epoch": 0.27, + "learning_rate": 8.619615211639548e-06, + "loss": 0.7667, + "step": 9023 + }, + { + "epoch": 0.27, + "learning_rate": 8.619286971930185e-06, + "loss": 0.6976, + "step": 9024 + }, + { + "epoch": 0.27, + "learning_rate": 8.618958699451019e-06, + "loss": 0.8752, + "step": 9025 + }, + { + "epoch": 0.27, + "learning_rate": 8.618630394205022e-06, + "loss": 0.9832, + "step": 9026 + }, + { + "epoch": 0.27, + "learning_rate": 8.618302056195163e-06, + "loss": 0.7184, + "step": 9027 + }, + { + "epoch": 0.27, + "learning_rate": 8.617973685424417e-06, + "loss": 0.7977, + "step": 9028 + }, + { + "epoch": 0.27, + "learning_rate": 8.617645281895757e-06, + "loss": 0.8659, + "step": 9029 + }, + { + "epoch": 0.27, + "learning_rate": 8.617316845612158e-06, + "loss": 0.6159, + "step": 9030 + }, + { + "epoch": 0.27, + "learning_rate": 8.616988376576592e-06, + "loss": 0.5775, + "step": 9031 + }, + { + "epoch": 0.27, + "learning_rate": 8.61665987479203e-06, + "loss": 0.7306, + "step": 9032 + }, + { + "epoch": 0.27, + "learning_rate": 8.616331340261455e-06, + "loss": 0.9577, + "step": 9033 + }, + { + "epoch": 0.27, + "learning_rate": 8.616002772987833e-06, + "loss": 0.7239, + "step": 9034 + }, + { + "epoch": 0.27, + "learning_rate": 8.615674172974142e-06, + "loss": 0.4745, + "step": 9035 + }, + { + "epoch": 0.27, + "learning_rate": 8.615345540223358e-06, + "loss": 0.7694, + "step": 9036 + }, + { + "epoch": 0.27, + "learning_rate": 8.615016874738457e-06, + "loss": 0.7815, + "step": 9037 + }, + { + "epoch": 0.27, + "learning_rate": 8.614688176522413e-06, + "loss": 0.7484, + "step": 9038 + }, + { + "epoch": 0.27, + "learning_rate": 8.614359445578202e-06, + "loss": 0.861, + "step": 9039 + }, + { + "epoch": 0.27, + "learning_rate": 8.614030681908802e-06, + "loss": 0.8326, + "step": 9040 + }, + { + "epoch": 0.27, + "learning_rate": 8.613701885517187e-06, + "loss": 0.776, + "step": 9041 + }, + { + "epoch": 0.27, + "learning_rate": 8.613373056406337e-06, + "loss": 0.764, + "step": 9042 + }, + { + "epoch": 0.27, + "learning_rate": 8.61304419457923e-06, + "loss": 0.7922, + "step": 9043 + }, + { + "epoch": 0.27, + "learning_rate": 8.61271530003884e-06, + "loss": 0.7881, + "step": 9044 + }, + { + "epoch": 0.27, + "learning_rate": 8.612386372788147e-06, + "loss": 0.8845, + "step": 9045 + }, + { + "epoch": 0.27, + "learning_rate": 8.612057412830129e-06, + "loss": 0.7938, + "step": 9046 + }, + { + "epoch": 0.27, + "learning_rate": 8.611728420167764e-06, + "loss": 0.586, + "step": 9047 + }, + { + "epoch": 0.27, + "learning_rate": 8.611399394804031e-06, + "loss": 0.7952, + "step": 9048 + }, + { + "epoch": 0.27, + "learning_rate": 8.611070336741911e-06, + "loss": 0.6717, + "step": 9049 + }, + { + "epoch": 0.27, + "learning_rate": 8.61074124598438e-06, + "loss": 0.8361, + "step": 9050 + }, + { + "epoch": 0.27, + "learning_rate": 8.610412122534418e-06, + "loss": 0.9077, + "step": 9051 + }, + { + "epoch": 0.27, + "learning_rate": 8.610082966395007e-06, + "loss": 0.8107, + "step": 9052 + }, + { + "epoch": 0.27, + "learning_rate": 8.609753777569127e-06, + "loss": 0.8136, + "step": 9053 + }, + { + "epoch": 0.27, + "learning_rate": 8.609424556059757e-06, + "loss": 0.817, + "step": 9054 + }, + { + "epoch": 0.27, + "learning_rate": 8.609095301869881e-06, + "loss": 0.778, + "step": 9055 + }, + { + "epoch": 0.27, + "learning_rate": 8.608766015002475e-06, + "loss": 0.8607, + "step": 9056 + }, + { + "epoch": 0.27, + "learning_rate": 8.608436695460525e-06, + "loss": 0.6736, + "step": 9057 + }, + { + "epoch": 0.27, + "learning_rate": 8.60810734324701e-06, + "loss": 0.8178, + "step": 9058 + }, + { + "epoch": 0.27, + "learning_rate": 8.607777958364914e-06, + "loss": 0.9378, + "step": 9059 + }, + { + "epoch": 0.27, + "learning_rate": 8.607448540817218e-06, + "loss": 0.7016, + "step": 9060 + }, + { + "epoch": 0.27, + "learning_rate": 8.607119090606906e-06, + "loss": 0.7017, + "step": 9061 + }, + { + "epoch": 0.27, + "learning_rate": 8.606789607736958e-06, + "loss": 0.7302, + "step": 9062 + }, + { + "epoch": 0.27, + "learning_rate": 8.60646009221036e-06, + "loss": 0.5507, + "step": 9063 + }, + { + "epoch": 0.27, + "learning_rate": 8.606130544030096e-06, + "loss": 0.5938, + "step": 9064 + }, + { + "epoch": 0.27, + "learning_rate": 8.605800963199147e-06, + "loss": 1.0053, + "step": 9065 + }, + { + "epoch": 0.27, + "learning_rate": 8.605471349720498e-06, + "loss": 0.6538, + "step": 9066 + }, + { + "epoch": 0.27, + "learning_rate": 8.605141703597136e-06, + "loss": 0.6263, + "step": 9067 + }, + { + "epoch": 0.27, + "learning_rate": 8.604812024832042e-06, + "loss": 0.9181, + "step": 9068 + }, + { + "epoch": 0.27, + "learning_rate": 8.604482313428204e-06, + "loss": 0.5996, + "step": 9069 + }, + { + "epoch": 0.27, + "learning_rate": 8.604152569388603e-06, + "loss": 0.8456, + "step": 9070 + }, + { + "epoch": 0.27, + "learning_rate": 8.60382279271623e-06, + "loss": 0.7897, + "step": 9071 + }, + { + "epoch": 0.27, + "learning_rate": 8.603492983414067e-06, + "loss": 0.713, + "step": 9072 + }, + { + "epoch": 0.27, + "learning_rate": 8.603163141485103e-06, + "loss": 0.8806, + "step": 9073 + }, + { + "epoch": 0.27, + "learning_rate": 8.602833266932322e-06, + "loss": 0.8627, + "step": 9074 + }, + { + "epoch": 0.27, + "learning_rate": 8.602503359758712e-06, + "loss": 0.8743, + "step": 9075 + }, + { + "epoch": 0.27, + "learning_rate": 8.60217341996726e-06, + "loss": 0.4568, + "step": 9076 + }, + { + "epoch": 0.27, + "learning_rate": 8.601843447560953e-06, + "loss": 0.6843, + "step": 9077 + }, + { + "epoch": 0.27, + "learning_rate": 8.60151344254278e-06, + "loss": 0.5312, + "step": 9078 + }, + { + "epoch": 0.27, + "learning_rate": 8.601183404915725e-06, + "loss": 0.581, + "step": 9079 + }, + { + "epoch": 0.27, + "learning_rate": 8.600853334682781e-06, + "loss": 0.7204, + "step": 9080 + }, + { + "epoch": 0.27, + "learning_rate": 8.600523231846934e-06, + "loss": 0.6431, + "step": 9081 + }, + { + "epoch": 0.27, + "learning_rate": 8.60019309641117e-06, + "loss": 0.9372, + "step": 9082 + }, + { + "epoch": 0.27, + "learning_rate": 8.599862928378486e-06, + "loss": 0.7223, + "step": 9083 + }, + { + "epoch": 0.27, + "learning_rate": 8.599532727751864e-06, + "loss": 0.8352, + "step": 9084 + }, + { + "epoch": 0.27, + "learning_rate": 8.599202494534297e-06, + "loss": 0.6191, + "step": 9085 + }, + { + "epoch": 0.27, + "learning_rate": 8.598872228728776e-06, + "loss": 0.8256, + "step": 9086 + }, + { + "epoch": 0.27, + "learning_rate": 8.598541930338288e-06, + "loss": 0.6354, + "step": 9087 + }, + { + "epoch": 0.27, + "learning_rate": 8.598211599365826e-06, + "loss": 0.6675, + "step": 9088 + }, + { + "epoch": 0.27, + "learning_rate": 8.597881235814383e-06, + "loss": 0.7468, + "step": 9089 + }, + { + "epoch": 0.27, + "learning_rate": 8.597550839686944e-06, + "loss": 0.7652, + "step": 9090 + }, + { + "epoch": 0.27, + "learning_rate": 8.597220410986504e-06, + "loss": 0.9755, + "step": 9091 + }, + { + "epoch": 0.27, + "learning_rate": 8.596889949716057e-06, + "loss": 0.7216, + "step": 9092 + }, + { + "epoch": 0.27, + "learning_rate": 8.59655945587859e-06, + "loss": 0.6121, + "step": 9093 + }, + { + "epoch": 0.27, + "learning_rate": 8.5962289294771e-06, + "loss": 0.8437, + "step": 9094 + }, + { + "epoch": 0.27, + "learning_rate": 8.595898370514578e-06, + "loss": 0.913, + "step": 9095 + }, + { + "epoch": 0.27, + "learning_rate": 8.595567778994017e-06, + "loss": 0.6846, + "step": 9096 + }, + { + "epoch": 0.27, + "learning_rate": 8.595237154918408e-06, + "loss": 0.8713, + "step": 9097 + }, + { + "epoch": 0.27, + "learning_rate": 8.594906498290748e-06, + "loss": 0.6648, + "step": 9098 + }, + { + "epoch": 0.27, + "learning_rate": 8.594575809114029e-06, + "loss": 0.6432, + "step": 9099 + }, + { + "epoch": 0.27, + "learning_rate": 8.594245087391247e-06, + "loss": 0.6458, + "step": 9100 + }, + { + "epoch": 0.27, + "learning_rate": 8.593914333125392e-06, + "loss": 0.8485, + "step": 9101 + }, + { + "epoch": 0.27, + "learning_rate": 8.593583546319463e-06, + "loss": 0.8179, + "step": 9102 + }, + { + "epoch": 0.27, + "learning_rate": 8.593252726976456e-06, + "loss": 0.8893, + "step": 9103 + }, + { + "epoch": 0.27, + "learning_rate": 8.59292187509936e-06, + "loss": 0.7086, + "step": 9104 + }, + { + "epoch": 0.27, + "learning_rate": 8.592590990691176e-06, + "loss": 0.9494, + "step": 9105 + }, + { + "epoch": 0.27, + "learning_rate": 8.5922600737549e-06, + "loss": 0.6134, + "step": 9106 + }, + { + "epoch": 0.27, + "learning_rate": 8.591929124293526e-06, + "loss": 0.7165, + "step": 9107 + }, + { + "epoch": 0.27, + "learning_rate": 8.591598142310052e-06, + "loss": 0.6212, + "step": 9108 + }, + { + "epoch": 0.27, + "learning_rate": 8.591267127807472e-06, + "loss": 0.9135, + "step": 9109 + }, + { + "epoch": 0.27, + "learning_rate": 8.590936080788786e-06, + "loss": 0.6423, + "step": 9110 + }, + { + "epoch": 0.27, + "learning_rate": 8.59060500125699e-06, + "loss": 0.9641, + "step": 9111 + }, + { + "epoch": 0.27, + "learning_rate": 8.590273889215082e-06, + "loss": 0.97, + "step": 9112 + }, + { + "epoch": 0.27, + "learning_rate": 8.58994274466606e-06, + "loss": 0.6421, + "step": 9113 + }, + { + "epoch": 0.27, + "learning_rate": 8.589611567612924e-06, + "loss": 0.796, + "step": 9114 + }, + { + "epoch": 0.27, + "learning_rate": 8.589280358058668e-06, + "loss": 0.6543, + "step": 9115 + }, + { + "epoch": 0.27, + "learning_rate": 8.588949116006296e-06, + "loss": 0.7916, + "step": 9116 + }, + { + "epoch": 0.27, + "learning_rate": 8.588617841458804e-06, + "loss": 0.6221, + "step": 9117 + }, + { + "epoch": 0.27, + "learning_rate": 8.58828653441919e-06, + "loss": 0.9794, + "step": 9118 + }, + { + "epoch": 0.27, + "learning_rate": 8.58795519489046e-06, + "loss": 0.5735, + "step": 9119 + }, + { + "epoch": 0.27, + "learning_rate": 8.587623822875608e-06, + "loss": 0.9942, + "step": 9120 + }, + { + "epoch": 0.27, + "learning_rate": 8.587292418377636e-06, + "loss": 0.7513, + "step": 9121 + }, + { + "epoch": 0.27, + "learning_rate": 8.586960981399545e-06, + "loss": 0.5082, + "step": 9122 + }, + { + "epoch": 0.27, + "learning_rate": 8.586629511944336e-06, + "loss": 0.8869, + "step": 9123 + }, + { + "epoch": 0.27, + "learning_rate": 8.58629801001501e-06, + "loss": 0.7505, + "step": 9124 + }, + { + "epoch": 0.27, + "learning_rate": 8.585966475614569e-06, + "loss": 0.7797, + "step": 9125 + }, + { + "epoch": 0.27, + "learning_rate": 8.585634908746014e-06, + "loss": 0.8066, + "step": 9126 + }, + { + "epoch": 0.27, + "learning_rate": 8.585303309412347e-06, + "loss": 0.894, + "step": 9127 + }, + { + "epoch": 0.27, + "learning_rate": 8.584971677616572e-06, + "loss": 0.5659, + "step": 9128 + }, + { + "epoch": 0.27, + "learning_rate": 8.584640013361689e-06, + "loss": 0.7879, + "step": 9129 + }, + { + "epoch": 0.27, + "learning_rate": 8.584308316650703e-06, + "loss": 0.9343, + "step": 9130 + }, + { + "epoch": 0.27, + "learning_rate": 8.583976587486615e-06, + "loss": 0.8374, + "step": 9131 + }, + { + "epoch": 0.27, + "learning_rate": 8.583644825872432e-06, + "loss": 0.6706, + "step": 9132 + }, + { + "epoch": 0.27, + "learning_rate": 8.583313031811156e-06, + "loss": 0.5911, + "step": 9133 + }, + { + "epoch": 0.27, + "learning_rate": 8.582981205305791e-06, + "loss": 0.7236, + "step": 9134 + }, + { + "epoch": 0.27, + "learning_rate": 8.58264934635934e-06, + "loss": 0.6537, + "step": 9135 + }, + { + "epoch": 0.27, + "learning_rate": 8.58231745497481e-06, + "loss": 0.9266, + "step": 9136 + }, + { + "epoch": 0.27, + "learning_rate": 8.581985531155206e-06, + "loss": 0.646, + "step": 9137 + }, + { + "epoch": 0.27, + "learning_rate": 8.581653574903532e-06, + "loss": 0.8914, + "step": 9138 + }, + { + "epoch": 0.27, + "learning_rate": 8.581321586222795e-06, + "loss": 0.5687, + "step": 9139 + }, + { + "epoch": 0.27, + "learning_rate": 8.580989565116001e-06, + "loss": 0.8408, + "step": 9140 + }, + { + "epoch": 0.27, + "learning_rate": 8.580657511586153e-06, + "loss": 0.7026, + "step": 9141 + }, + { + "epoch": 0.27, + "learning_rate": 8.58032542563626e-06, + "loss": 0.6243, + "step": 9142 + }, + { + "epoch": 0.27, + "learning_rate": 8.57999330726933e-06, + "loss": 0.6754, + "step": 9143 + }, + { + "epoch": 0.27, + "learning_rate": 8.579661156488368e-06, + "loss": 0.7671, + "step": 9144 + }, + { + "epoch": 0.27, + "learning_rate": 8.579328973296382e-06, + "loss": 0.9838, + "step": 9145 + }, + { + "epoch": 0.27, + "learning_rate": 8.57899675769638e-06, + "loss": 0.7595, + "step": 9146 + }, + { + "epoch": 0.27, + "learning_rate": 8.578664509691367e-06, + "loss": 0.9171, + "step": 9147 + }, + { + "epoch": 0.27, + "learning_rate": 8.578332229284358e-06, + "loss": 0.7558, + "step": 9148 + }, + { + "epoch": 0.27, + "learning_rate": 8.577999916478355e-06, + "loss": 0.7862, + "step": 9149 + }, + { + "epoch": 0.27, + "learning_rate": 8.577667571276371e-06, + "loss": 0.6551, + "step": 9150 + }, + { + "epoch": 0.27, + "learning_rate": 8.577335193681411e-06, + "loss": 0.8335, + "step": 9151 + }, + { + "epoch": 0.27, + "learning_rate": 8.577002783696487e-06, + "loss": 0.8349, + "step": 9152 + }, + { + "epoch": 0.27, + "learning_rate": 8.57667034132461e-06, + "loss": 1.139, + "step": 9153 + }, + { + "epoch": 0.27, + "learning_rate": 8.576337866568787e-06, + "loss": 0.9295, + "step": 9154 + }, + { + "epoch": 0.27, + "learning_rate": 8.576005359432032e-06, + "loss": 0.8471, + "step": 9155 + }, + { + "epoch": 0.27, + "learning_rate": 8.57567281991735e-06, + "loss": 0.8583, + "step": 9156 + }, + { + "epoch": 0.27, + "learning_rate": 8.575340248027757e-06, + "loss": 0.5138, + "step": 9157 + }, + { + "epoch": 0.27, + "learning_rate": 8.575007643766264e-06, + "loss": 0.6679, + "step": 9158 + }, + { + "epoch": 0.27, + "learning_rate": 8.57467500713588e-06, + "loss": 0.8543, + "step": 9159 + }, + { + "epoch": 0.27, + "learning_rate": 8.574342338139617e-06, + "loss": 0.7085, + "step": 9160 + }, + { + "epoch": 0.27, + "learning_rate": 8.574009636780487e-06, + "loss": 0.626, + "step": 9161 + }, + { + "epoch": 0.27, + "learning_rate": 8.573676903061505e-06, + "loss": 0.9267, + "step": 9162 + }, + { + "epoch": 0.27, + "learning_rate": 8.57334413698568e-06, + "loss": 0.7313, + "step": 9163 + }, + { + "epoch": 0.27, + "learning_rate": 8.573011338556027e-06, + "loss": 0.8856, + "step": 9164 + }, + { + "epoch": 0.27, + "learning_rate": 8.57267850777556e-06, + "loss": 0.7804, + "step": 9165 + }, + { + "epoch": 0.27, + "learning_rate": 8.572345644647292e-06, + "loss": 0.6014, + "step": 9166 + }, + { + "epoch": 0.27, + "learning_rate": 8.572012749174233e-06, + "loss": 0.4747, + "step": 9167 + }, + { + "epoch": 0.27, + "learning_rate": 8.571679821359403e-06, + "loss": 0.6765, + "step": 9168 + }, + { + "epoch": 0.27, + "learning_rate": 8.571346861205812e-06, + "loss": 0.7911, + "step": 9169 + }, + { + "epoch": 0.27, + "learning_rate": 8.571013868716478e-06, + "loss": 0.8922, + "step": 9170 + }, + { + "epoch": 0.27, + "learning_rate": 8.570680843894413e-06, + "loss": 0.9195, + "step": 9171 + }, + { + "epoch": 0.27, + "learning_rate": 8.570347786742635e-06, + "loss": 0.6991, + "step": 9172 + }, + { + "epoch": 0.27, + "learning_rate": 8.570014697264157e-06, + "loss": 0.7857, + "step": 9173 + }, + { + "epoch": 0.27, + "learning_rate": 8.569681575461997e-06, + "loss": 0.6365, + "step": 9174 + }, + { + "epoch": 0.27, + "learning_rate": 8.56934842133917e-06, + "loss": 0.6047, + "step": 9175 + }, + { + "epoch": 0.27, + "learning_rate": 8.569015234898694e-06, + "loss": 1.0369, + "step": 9176 + }, + { + "epoch": 0.27, + "learning_rate": 8.568682016143581e-06, + "loss": 0.6781, + "step": 9177 + }, + { + "epoch": 0.27, + "learning_rate": 8.568348765076855e-06, + "loss": 0.5807, + "step": 9178 + }, + { + "epoch": 0.27, + "learning_rate": 8.568015481701528e-06, + "loss": 0.6038, + "step": 9179 + }, + { + "epoch": 0.27, + "learning_rate": 8.567682166020621e-06, + "loss": 0.7349, + "step": 9180 + }, + { + "epoch": 0.27, + "learning_rate": 8.567348818037149e-06, + "loss": 0.7829, + "step": 9181 + }, + { + "epoch": 0.27, + "learning_rate": 8.56701543775413e-06, + "loss": 0.7127, + "step": 9182 + }, + { + "epoch": 0.27, + "learning_rate": 8.566682025174588e-06, + "loss": 0.8287, + "step": 9183 + }, + { + "epoch": 0.27, + "learning_rate": 8.566348580301536e-06, + "loss": 0.5001, + "step": 9184 + }, + { + "epoch": 0.27, + "learning_rate": 8.566015103137994e-06, + "loss": 0.7058, + "step": 9185 + }, + { + "epoch": 0.27, + "learning_rate": 8.565681593686983e-06, + "loss": 0.7249, + "step": 9186 + }, + { + "epoch": 0.27, + "learning_rate": 8.565348051951523e-06, + "loss": 0.7285, + "step": 9187 + }, + { + "epoch": 0.27, + "learning_rate": 8.565014477934632e-06, + "loss": 0.8885, + "step": 9188 + }, + { + "epoch": 0.27, + "learning_rate": 8.56468087163933e-06, + "loss": 0.8347, + "step": 9189 + }, + { + "epoch": 0.27, + "learning_rate": 8.564347233068641e-06, + "loss": 0.4264, + "step": 9190 + }, + { + "epoch": 0.27, + "learning_rate": 8.564013562225583e-06, + "loss": 0.848, + "step": 9191 + }, + { + "epoch": 0.27, + "learning_rate": 8.563679859113177e-06, + "loss": 0.8476, + "step": 9192 + }, + { + "epoch": 0.27, + "learning_rate": 8.563346123734443e-06, + "loss": 0.6529, + "step": 9193 + }, + { + "epoch": 0.27, + "learning_rate": 8.563012356092409e-06, + "loss": 0.6186, + "step": 9194 + }, + { + "epoch": 0.27, + "learning_rate": 8.56267855619009e-06, + "loss": 0.7412, + "step": 9195 + }, + { + "epoch": 0.27, + "learning_rate": 8.562344724030512e-06, + "loss": 0.9287, + "step": 9196 + }, + { + "epoch": 0.27, + "learning_rate": 8.562010859616697e-06, + "loss": 0.5603, + "step": 9197 + }, + { + "epoch": 0.27, + "learning_rate": 8.561676962951668e-06, + "loss": 0.8654, + "step": 9198 + }, + { + "epoch": 0.27, + "learning_rate": 8.561343034038447e-06, + "loss": 0.6828, + "step": 9199 + }, + { + "epoch": 0.27, + "learning_rate": 8.561009072880058e-06, + "loss": 0.8119, + "step": 9200 + }, + { + "epoch": 0.27, + "learning_rate": 8.560675079479526e-06, + "loss": 0.9003, + "step": 9201 + }, + { + "epoch": 0.27, + "learning_rate": 8.560341053839873e-06, + "loss": 0.7411, + "step": 9202 + }, + { + "epoch": 0.27, + "learning_rate": 8.560006995964125e-06, + "loss": 0.8353, + "step": 9203 + }, + { + "epoch": 0.27, + "learning_rate": 8.559672905855305e-06, + "loss": 0.8929, + "step": 9204 + }, + { + "epoch": 0.27, + "learning_rate": 8.55933878351644e-06, + "loss": 0.7493, + "step": 9205 + }, + { + "epoch": 0.27, + "learning_rate": 8.559004628950554e-06, + "loss": 0.8311, + "step": 9206 + }, + { + "epoch": 0.27, + "learning_rate": 8.558670442160673e-06, + "loss": 0.9627, + "step": 9207 + }, + { + "epoch": 0.27, + "learning_rate": 8.558336223149821e-06, + "loss": 0.7153, + "step": 9208 + }, + { + "epoch": 0.27, + "learning_rate": 8.558001971921026e-06, + "loss": 0.7341, + "step": 9209 + }, + { + "epoch": 0.27, + "learning_rate": 8.557667688477315e-06, + "loss": 0.7639, + "step": 9210 + }, + { + "epoch": 0.27, + "learning_rate": 8.557333372821711e-06, + "loss": 0.9952, + "step": 9211 + }, + { + "epoch": 0.27, + "learning_rate": 8.556999024957248e-06, + "loss": 0.5422, + "step": 9212 + }, + { + "epoch": 0.27, + "learning_rate": 8.556664644886946e-06, + "loss": 0.7851, + "step": 9213 + }, + { + "epoch": 0.27, + "learning_rate": 8.556330232613835e-06, + "loss": 0.8603, + "step": 9214 + }, + { + "epoch": 0.27, + "learning_rate": 8.555995788140946e-06, + "loss": 0.9367, + "step": 9215 + }, + { + "epoch": 0.27, + "learning_rate": 8.555661311471301e-06, + "loss": 0.8692, + "step": 9216 + }, + { + "epoch": 0.27, + "learning_rate": 8.555326802607933e-06, + "loss": 0.8205, + "step": 9217 + }, + { + "epoch": 0.27, + "learning_rate": 8.554992261553869e-06, + "loss": 0.6435, + "step": 9218 + }, + { + "epoch": 0.27, + "learning_rate": 8.55465768831214e-06, + "loss": 0.9097, + "step": 9219 + }, + { + "epoch": 0.27, + "learning_rate": 8.554323082885772e-06, + "loss": 0.5843, + "step": 9220 + }, + { + "epoch": 0.27, + "learning_rate": 8.553988445277797e-06, + "loss": 0.6124, + "step": 9221 + }, + { + "epoch": 0.27, + "learning_rate": 8.553653775491244e-06, + "loss": 0.7603, + "step": 9222 + }, + { + "epoch": 0.27, + "learning_rate": 8.553319073529145e-06, + "loss": 0.8826, + "step": 9223 + }, + { + "epoch": 0.27, + "learning_rate": 8.552984339394529e-06, + "loss": 0.8545, + "step": 9224 + }, + { + "epoch": 0.27, + "learning_rate": 8.552649573090424e-06, + "loss": 0.6916, + "step": 9225 + }, + { + "epoch": 0.27, + "learning_rate": 8.552314774619866e-06, + "loss": 0.7611, + "step": 9226 + }, + { + "epoch": 0.27, + "learning_rate": 8.551979943985881e-06, + "loss": 0.738, + "step": 9227 + }, + { + "epoch": 0.27, + "learning_rate": 8.551645081191506e-06, + "loss": 0.5759, + "step": 9228 + }, + { + "epoch": 0.27, + "learning_rate": 8.551310186239771e-06, + "loss": 0.9642, + "step": 9229 + }, + { + "epoch": 0.27, + "learning_rate": 8.550975259133708e-06, + "loss": 0.8513, + "step": 9230 + }, + { + "epoch": 0.27, + "learning_rate": 8.550640299876348e-06, + "loss": 0.8735, + "step": 9231 + }, + { + "epoch": 0.27, + "learning_rate": 8.550305308470726e-06, + "loss": 0.6538, + "step": 9232 + }, + { + "epoch": 0.27, + "learning_rate": 8.549970284919873e-06, + "loss": 0.9182, + "step": 9233 + }, + { + "epoch": 0.27, + "learning_rate": 8.549635229226825e-06, + "loss": 0.726, + "step": 9234 + }, + { + "epoch": 0.27, + "learning_rate": 8.549300141394615e-06, + "loss": 0.708, + "step": 9235 + }, + { + "epoch": 0.27, + "learning_rate": 8.548965021426273e-06, + "loss": 0.6863, + "step": 9236 + }, + { + "epoch": 0.27, + "learning_rate": 8.548629869324838e-06, + "loss": 0.9724, + "step": 9237 + }, + { + "epoch": 0.27, + "learning_rate": 8.548294685093344e-06, + "loss": 0.8602, + "step": 9238 + }, + { + "epoch": 0.27, + "learning_rate": 8.547959468734824e-06, + "loss": 0.7144, + "step": 9239 + }, + { + "epoch": 0.27, + "learning_rate": 8.547624220252314e-06, + "loss": 0.6901, + "step": 9240 + }, + { + "epoch": 0.27, + "learning_rate": 8.547288939648849e-06, + "loss": 1.06, + "step": 9241 + }, + { + "epoch": 0.27, + "learning_rate": 8.546953626927464e-06, + "loss": 0.6653, + "step": 9242 + }, + { + "epoch": 0.27, + "learning_rate": 8.546618282091197e-06, + "loss": 0.7341, + "step": 9243 + }, + { + "epoch": 0.27, + "learning_rate": 8.546282905143084e-06, + "loss": 0.5967, + "step": 9244 + }, + { + "epoch": 0.27, + "learning_rate": 8.54594749608616e-06, + "loss": 0.7423, + "step": 9245 + }, + { + "epoch": 0.27, + "learning_rate": 8.545612054923464e-06, + "loss": 0.6748, + "step": 9246 + }, + { + "epoch": 0.27, + "learning_rate": 8.54527658165803e-06, + "loss": 0.724, + "step": 9247 + }, + { + "epoch": 0.27, + "learning_rate": 8.544941076292899e-06, + "loss": 0.6523, + "step": 9248 + }, + { + "epoch": 0.27, + "learning_rate": 8.544605538831105e-06, + "loss": 0.5731, + "step": 9249 + }, + { + "epoch": 0.27, + "learning_rate": 8.544269969275691e-06, + "loss": 0.8079, + "step": 9250 + }, + { + "epoch": 0.27, + "learning_rate": 8.543934367629691e-06, + "loss": 0.454, + "step": 9251 + }, + { + "epoch": 0.27, + "learning_rate": 8.543598733896146e-06, + "loss": 0.7932, + "step": 9252 + }, + { + "epoch": 0.27, + "learning_rate": 8.543263068078092e-06, + "loss": 0.4344, + "step": 9253 + }, + { + "epoch": 0.27, + "learning_rate": 8.542927370178571e-06, + "loss": 0.9446, + "step": 9254 + }, + { + "epoch": 0.27, + "learning_rate": 8.542591640200621e-06, + "loss": 0.828, + "step": 9255 + }, + { + "epoch": 0.27, + "learning_rate": 8.542255878147284e-06, + "loss": 0.5777, + "step": 9256 + }, + { + "epoch": 0.27, + "learning_rate": 8.541920084021598e-06, + "loss": 0.8255, + "step": 9257 + }, + { + "epoch": 0.27, + "learning_rate": 8.541584257826603e-06, + "loss": 1.0719, + "step": 9258 + }, + { + "epoch": 0.27, + "learning_rate": 8.54124839956534e-06, + "loss": 0.8732, + "step": 9259 + }, + { + "epoch": 0.27, + "learning_rate": 8.540912509240852e-06, + "loss": 0.6546, + "step": 9260 + }, + { + "epoch": 0.27, + "learning_rate": 8.540576586856178e-06, + "loss": 0.7833, + "step": 9261 + }, + { + "epoch": 0.27, + "learning_rate": 8.540240632414361e-06, + "loss": 0.6628, + "step": 9262 + }, + { + "epoch": 0.27, + "learning_rate": 8.53990464591844e-06, + "loss": 0.8151, + "step": 9263 + }, + { + "epoch": 0.27, + "learning_rate": 8.539568627371459e-06, + "loss": 0.7973, + "step": 9264 + }, + { + "epoch": 0.27, + "learning_rate": 8.539232576776462e-06, + "loss": 0.7139, + "step": 9265 + }, + { + "epoch": 0.27, + "learning_rate": 8.53889649413649e-06, + "loss": 0.6011, + "step": 9266 + }, + { + "epoch": 0.27, + "learning_rate": 8.538560379454586e-06, + "loss": 0.7082, + "step": 9267 + }, + { + "epoch": 0.27, + "learning_rate": 8.538224232733791e-06, + "loss": 0.6799, + "step": 9268 + }, + { + "epoch": 0.27, + "learning_rate": 8.537888053977153e-06, + "loss": 0.6767, + "step": 9269 + }, + { + "epoch": 0.27, + "learning_rate": 8.537551843187713e-06, + "loss": 0.6333, + "step": 9270 + }, + { + "epoch": 0.27, + "learning_rate": 8.537215600368516e-06, + "loss": 0.6628, + "step": 9271 + }, + { + "epoch": 0.27, + "learning_rate": 8.536879325522607e-06, + "loss": 0.8073, + "step": 9272 + }, + { + "epoch": 0.27, + "learning_rate": 8.536543018653029e-06, + "loss": 0.8105, + "step": 9273 + }, + { + "epoch": 0.27, + "learning_rate": 8.536206679762828e-06, + "loss": 0.7922, + "step": 9274 + }, + { + "epoch": 0.27, + "learning_rate": 8.53587030885505e-06, + "loss": 0.84, + "step": 9275 + }, + { + "epoch": 0.27, + "learning_rate": 8.535533905932739e-06, + "loss": 0.772, + "step": 9276 + }, + { + "epoch": 0.27, + "learning_rate": 8.535197470998941e-06, + "loss": 0.6127, + "step": 9277 + }, + { + "epoch": 0.27, + "learning_rate": 8.534861004056704e-06, + "loss": 0.7582, + "step": 9278 + }, + { + "epoch": 0.27, + "learning_rate": 8.534524505109072e-06, + "loss": 0.5237, + "step": 9279 + }, + { + "epoch": 0.27, + "learning_rate": 8.534187974159094e-06, + "loss": 0.8275, + "step": 9280 + }, + { + "epoch": 0.27, + "learning_rate": 8.533851411209814e-06, + "loss": 0.7292, + "step": 9281 + }, + { + "epoch": 0.27, + "learning_rate": 8.533514816264285e-06, + "loss": 0.498, + "step": 9282 + }, + { + "epoch": 0.27, + "learning_rate": 8.53317818932555e-06, + "loss": 0.8791, + "step": 9283 + }, + { + "epoch": 0.27, + "learning_rate": 8.532841530396656e-06, + "loss": 1.1419, + "step": 9284 + }, + { + "epoch": 0.27, + "learning_rate": 8.532504839480653e-06, + "loss": 0.7524, + "step": 9285 + }, + { + "epoch": 0.27, + "learning_rate": 8.53216811658059e-06, + "loss": 0.6445, + "step": 9286 + }, + { + "epoch": 0.27, + "learning_rate": 8.531831361699516e-06, + "loss": 0.7738, + "step": 9287 + }, + { + "epoch": 0.27, + "learning_rate": 8.531494574840478e-06, + "loss": 0.9675, + "step": 9288 + }, + { + "epoch": 0.27, + "learning_rate": 8.531157756006527e-06, + "loss": 0.5663, + "step": 9289 + }, + { + "epoch": 0.27, + "learning_rate": 8.530820905200713e-06, + "loss": 0.6032, + "step": 9290 + }, + { + "epoch": 0.27, + "learning_rate": 8.530484022426084e-06, + "loss": 0.7557, + "step": 9291 + }, + { + "epoch": 0.27, + "learning_rate": 8.530147107685694e-06, + "loss": 0.9487, + "step": 9292 + }, + { + "epoch": 0.27, + "learning_rate": 8.529810160982588e-06, + "loss": 0.7024, + "step": 9293 + }, + { + "epoch": 0.27, + "learning_rate": 8.52947318231982e-06, + "loss": 0.7552, + "step": 9294 + }, + { + "epoch": 0.27, + "learning_rate": 8.529136171700442e-06, + "loss": 0.7661, + "step": 9295 + }, + { + "epoch": 0.27, + "learning_rate": 8.528799129127502e-06, + "loss": 0.8651, + "step": 9296 + }, + { + "epoch": 0.27, + "learning_rate": 8.528462054604056e-06, + "loss": 0.7869, + "step": 9297 + }, + { + "epoch": 0.27, + "learning_rate": 8.528124948133154e-06, + "loss": 0.865, + "step": 9298 + }, + { + "epoch": 0.27, + "learning_rate": 8.527787809717845e-06, + "loss": 0.5658, + "step": 9299 + }, + { + "epoch": 0.27, + "learning_rate": 8.527450639361188e-06, + "loss": 0.5764, + "step": 9300 + }, + { + "epoch": 0.27, + "learning_rate": 8.52711343706623e-06, + "loss": 0.9592, + "step": 9301 + }, + { + "epoch": 0.27, + "learning_rate": 8.526776202836028e-06, + "loss": 1.0448, + "step": 9302 + }, + { + "epoch": 0.27, + "learning_rate": 8.526438936673632e-06, + "loss": 0.7879, + "step": 9303 + }, + { + "epoch": 0.27, + "learning_rate": 8.526101638582099e-06, + "loss": 0.5399, + "step": 9304 + }, + { + "epoch": 0.27, + "learning_rate": 8.525764308564479e-06, + "loss": 0.9039, + "step": 9305 + }, + { + "epoch": 0.27, + "learning_rate": 8.525426946623831e-06, + "loss": 0.6179, + "step": 9306 + }, + { + "epoch": 0.27, + "learning_rate": 8.525089552763206e-06, + "loss": 0.5376, + "step": 9307 + }, + { + "epoch": 0.27, + "learning_rate": 8.524752126985662e-06, + "loss": 0.9005, + "step": 9308 + }, + { + "epoch": 0.27, + "learning_rate": 8.52441466929425e-06, + "loss": 0.7905, + "step": 9309 + }, + { + "epoch": 0.27, + "learning_rate": 8.524077179692028e-06, + "loss": 0.8115, + "step": 9310 + }, + { + "epoch": 0.27, + "learning_rate": 8.52373965818205e-06, + "loss": 1.0188, + "step": 9311 + }, + { + "epoch": 0.27, + "learning_rate": 8.523402104767377e-06, + "loss": 0.8879, + "step": 9312 + }, + { + "epoch": 0.27, + "learning_rate": 8.523064519451059e-06, + "loss": 0.6592, + "step": 9313 + }, + { + "epoch": 0.27, + "learning_rate": 8.522726902236156e-06, + "loss": 0.726, + "step": 9314 + }, + { + "epoch": 0.27, + "learning_rate": 8.522389253125723e-06, + "loss": 0.8737, + "step": 9315 + }, + { + "epoch": 0.27, + "learning_rate": 8.52205157212282e-06, + "loss": 0.6785, + "step": 9316 + }, + { + "epoch": 0.27, + "learning_rate": 8.521713859230502e-06, + "loss": 0.9962, + "step": 9317 + }, + { + "epoch": 0.27, + "learning_rate": 8.521376114451824e-06, + "loss": 0.7943, + "step": 9318 + }, + { + "epoch": 0.27, + "learning_rate": 8.52103833778985e-06, + "loss": 0.7656, + "step": 9319 + }, + { + "epoch": 0.27, + "learning_rate": 8.520700529247637e-06, + "loss": 0.6268, + "step": 9320 + }, + { + "epoch": 0.27, + "learning_rate": 8.520362688828241e-06, + "loss": 0.805, + "step": 9321 + }, + { + "epoch": 0.27, + "learning_rate": 8.520024816534723e-06, + "loss": 0.9485, + "step": 9322 + }, + { + "epoch": 0.27, + "learning_rate": 8.51968691237014e-06, + "loss": 0.7335, + "step": 9323 + }, + { + "epoch": 0.27, + "learning_rate": 8.519348976337554e-06, + "loss": 0.8982, + "step": 9324 + }, + { + "epoch": 0.27, + "learning_rate": 8.519011008440022e-06, + "loss": 0.6042, + "step": 9325 + }, + { + "epoch": 0.27, + "learning_rate": 8.518673008680607e-06, + "loss": 0.6849, + "step": 9326 + }, + { + "epoch": 0.27, + "learning_rate": 8.518334977062367e-06, + "loss": 0.7783, + "step": 9327 + }, + { + "epoch": 0.27, + "learning_rate": 8.517996913588362e-06, + "loss": 0.7635, + "step": 9328 + }, + { + "epoch": 0.27, + "learning_rate": 8.517658818261655e-06, + "loss": 0.9858, + "step": 9329 + }, + { + "epoch": 0.27, + "learning_rate": 8.517320691085308e-06, + "loss": 0.8849, + "step": 9330 + }, + { + "epoch": 0.27, + "learning_rate": 8.516982532062381e-06, + "loss": 0.7915, + "step": 9331 + }, + { + "epoch": 0.27, + "learning_rate": 8.516644341195936e-06, + "loss": 0.7698, + "step": 9332 + }, + { + "epoch": 0.27, + "learning_rate": 8.516306118489033e-06, + "loss": 0.8502, + "step": 9333 + }, + { + "epoch": 0.27, + "learning_rate": 8.515967863944737e-06, + "loss": 0.8794, + "step": 9334 + }, + { + "epoch": 0.27, + "learning_rate": 8.51562957756611e-06, + "loss": 0.8348, + "step": 9335 + }, + { + "epoch": 0.27, + "learning_rate": 8.515291259356215e-06, + "loss": 0.7833, + "step": 9336 + }, + { + "epoch": 0.27, + "learning_rate": 8.514952909318115e-06, + "loss": 0.7725, + "step": 9337 + }, + { + "epoch": 0.27, + "learning_rate": 8.514614527454872e-06, + "loss": 0.606, + "step": 9338 + }, + { + "epoch": 0.27, + "learning_rate": 8.514276113769552e-06, + "loss": 0.8424, + "step": 9339 + }, + { + "epoch": 0.27, + "learning_rate": 8.513937668265218e-06, + "loss": 0.9992, + "step": 9340 + }, + { + "epoch": 0.27, + "learning_rate": 8.513599190944936e-06, + "loss": 0.5826, + "step": 9341 + }, + { + "epoch": 0.27, + "learning_rate": 8.513260681811769e-06, + "loss": 0.7938, + "step": 9342 + }, + { + "epoch": 0.27, + "learning_rate": 8.51292214086878e-06, + "loss": 0.7875, + "step": 9343 + }, + { + "epoch": 0.27, + "learning_rate": 8.512583568119039e-06, + "loss": 1.0777, + "step": 9344 + }, + { + "epoch": 0.27, + "learning_rate": 8.512244963565607e-06, + "loss": 0.7315, + "step": 9345 + }, + { + "epoch": 0.27, + "learning_rate": 8.511906327211554e-06, + "loss": 0.6921, + "step": 9346 + }, + { + "epoch": 0.27, + "learning_rate": 8.511567659059942e-06, + "loss": 0.8882, + "step": 9347 + }, + { + "epoch": 0.27, + "learning_rate": 8.51122895911384e-06, + "loss": 0.6482, + "step": 9348 + }, + { + "epoch": 0.27, + "learning_rate": 8.510890227376314e-06, + "loss": 0.8274, + "step": 9349 + }, + { + "epoch": 0.27, + "learning_rate": 8.51055146385043e-06, + "loss": 0.4824, + "step": 9350 + }, + { + "epoch": 0.27, + "learning_rate": 8.510212668539256e-06, + "loss": 0.814, + "step": 9351 + }, + { + "epoch": 0.27, + "learning_rate": 8.509873841445861e-06, + "loss": 0.8339, + "step": 9352 + }, + { + "epoch": 0.27, + "learning_rate": 8.50953498257331e-06, + "loss": 0.799, + "step": 9353 + }, + { + "epoch": 0.27, + "learning_rate": 8.509196091924671e-06, + "loss": 0.7045, + "step": 9354 + }, + { + "epoch": 0.27, + "learning_rate": 8.508857169503017e-06, + "loss": 0.7423, + "step": 9355 + }, + { + "epoch": 0.27, + "learning_rate": 8.508518215311414e-06, + "loss": 0.5273, + "step": 9356 + }, + { + "epoch": 0.27, + "learning_rate": 8.508179229352929e-06, + "loss": 0.8844, + "step": 9357 + }, + { + "epoch": 0.27, + "learning_rate": 8.50784021163063e-06, + "loss": 0.5188, + "step": 9358 + }, + { + "epoch": 0.27, + "learning_rate": 8.507501162147594e-06, + "loss": 0.7712, + "step": 9359 + }, + { + "epoch": 0.27, + "learning_rate": 8.507162080906883e-06, + "loss": 0.6691, + "step": 9360 + }, + { + "epoch": 0.28, + "learning_rate": 8.506822967911572e-06, + "loss": 0.6749, + "step": 9361 + }, + { + "epoch": 0.28, + "learning_rate": 8.50648382316473e-06, + "loss": 0.8197, + "step": 9362 + }, + { + "epoch": 0.28, + "learning_rate": 8.506144646669425e-06, + "loss": 0.8382, + "step": 9363 + }, + { + "epoch": 0.28, + "learning_rate": 8.505805438428732e-06, + "loss": 1.1295, + "step": 9364 + }, + { + "epoch": 0.28, + "learning_rate": 8.50546619844572e-06, + "loss": 0.6105, + "step": 9365 + }, + { + "epoch": 0.28, + "learning_rate": 8.505126926723462e-06, + "loss": 0.7998, + "step": 9366 + }, + { + "epoch": 0.28, + "learning_rate": 8.50478762326503e-06, + "loss": 0.9252, + "step": 9367 + }, + { + "epoch": 0.28, + "learning_rate": 8.504448288073492e-06, + "loss": 0.741, + "step": 9368 + }, + { + "epoch": 0.28, + "learning_rate": 8.504108921151926e-06, + "loss": 0.6527, + "step": 9369 + }, + { + "epoch": 0.28, + "learning_rate": 8.503769522503402e-06, + "loss": 0.715, + "step": 9370 + }, + { + "epoch": 0.28, + "learning_rate": 8.50343009213099e-06, + "loss": 0.8957, + "step": 9371 + }, + { + "epoch": 0.28, + "learning_rate": 8.503090630037771e-06, + "loss": 0.5472, + "step": 9372 + }, + { + "epoch": 0.28, + "learning_rate": 8.502751136226812e-06, + "loss": 0.7402, + "step": 9373 + }, + { + "epoch": 0.28, + "learning_rate": 8.502411610701189e-06, + "loss": 0.7325, + "step": 9374 + }, + { + "epoch": 0.28, + "learning_rate": 8.502072053463977e-06, + "loss": 1.0809, + "step": 9375 + }, + { + "epoch": 0.28, + "learning_rate": 8.501732464518248e-06, + "loss": 0.8902, + "step": 9376 + }, + { + "epoch": 0.28, + "learning_rate": 8.501392843867078e-06, + "loss": 0.8684, + "step": 9377 + }, + { + "epoch": 0.28, + "learning_rate": 8.501053191513543e-06, + "loss": 0.5951, + "step": 9378 + }, + { + "epoch": 0.28, + "learning_rate": 8.500713507460717e-06, + "loss": 0.6605, + "step": 9379 + }, + { + "epoch": 0.28, + "learning_rate": 8.500373791711677e-06, + "loss": 0.943, + "step": 9380 + }, + { + "epoch": 0.28, + "learning_rate": 8.500034044269497e-06, + "loss": 0.6207, + "step": 9381 + }, + { + "epoch": 0.28, + "learning_rate": 8.499694265137255e-06, + "loss": 0.6412, + "step": 9382 + }, + { + "epoch": 0.28, + "learning_rate": 8.499354454318025e-06, + "loss": 0.6923, + "step": 9383 + }, + { + "epoch": 0.28, + "learning_rate": 8.499014611814887e-06, + "loss": 0.7589, + "step": 9384 + }, + { + "epoch": 0.28, + "learning_rate": 8.498674737630915e-06, + "loss": 0.7575, + "step": 9385 + }, + { + "epoch": 0.28, + "learning_rate": 8.498334831769187e-06, + "loss": 0.6143, + "step": 9386 + }, + { + "epoch": 0.28, + "learning_rate": 8.497994894232782e-06, + "loss": 0.6728, + "step": 9387 + }, + { + "epoch": 0.28, + "learning_rate": 8.497654925024777e-06, + "loss": 0.8402, + "step": 9388 + }, + { + "epoch": 0.28, + "learning_rate": 8.49731492414825e-06, + "loss": 0.8215, + "step": 9389 + }, + { + "epoch": 0.28, + "learning_rate": 8.496974891606278e-06, + "loss": 0.7881, + "step": 9390 + }, + { + "epoch": 0.28, + "learning_rate": 8.496634827401945e-06, + "loss": 0.9715, + "step": 9391 + }, + { + "epoch": 0.28, + "learning_rate": 8.496294731538322e-06, + "loss": 0.7247, + "step": 9392 + }, + { + "epoch": 0.28, + "learning_rate": 8.495954604018496e-06, + "loss": 0.8048, + "step": 9393 + }, + { + "epoch": 0.28, + "learning_rate": 8.495614444845541e-06, + "loss": 0.6784, + "step": 9394 + }, + { + "epoch": 0.28, + "learning_rate": 8.49527425402254e-06, + "loss": 0.5937, + "step": 9395 + }, + { + "epoch": 0.28, + "learning_rate": 8.49493403155257e-06, + "loss": 0.7537, + "step": 9396 + }, + { + "epoch": 0.28, + "learning_rate": 8.494593777438717e-06, + "loss": 0.8963, + "step": 9397 + }, + { + "epoch": 0.28, + "learning_rate": 8.494253491684056e-06, + "loss": 0.9448, + "step": 9398 + }, + { + "epoch": 0.28, + "learning_rate": 8.493913174291673e-06, + "loss": 0.9365, + "step": 9399 + }, + { + "epoch": 0.28, + "learning_rate": 8.493572825264644e-06, + "loss": 0.6601, + "step": 9400 + }, + { + "epoch": 0.28, + "learning_rate": 8.493232444606054e-06, + "loss": 0.8691, + "step": 9401 + }, + { + "epoch": 0.28, + "learning_rate": 8.492892032318985e-06, + "loss": 0.9008, + "step": 9402 + }, + { + "epoch": 0.28, + "learning_rate": 8.492551588406519e-06, + "loss": 0.6448, + "step": 9403 + }, + { + "epoch": 0.28, + "learning_rate": 8.492211112871736e-06, + "loss": 0.9463, + "step": 9404 + }, + { + "epoch": 0.28, + "learning_rate": 8.491870605717721e-06, + "loss": 0.97, + "step": 9405 + }, + { + "epoch": 0.28, + "learning_rate": 8.491530066947558e-06, + "loss": 1.0344, + "step": 9406 + }, + { + "epoch": 0.28, + "learning_rate": 8.491189496564327e-06, + "loss": 1.045, + "step": 9407 + }, + { + "epoch": 0.28, + "learning_rate": 8.490848894571114e-06, + "loss": 0.8368, + "step": 9408 + }, + { + "epoch": 0.28, + "learning_rate": 8.490508260971001e-06, + "loss": 0.5556, + "step": 9409 + }, + { + "epoch": 0.28, + "learning_rate": 8.490167595767076e-06, + "loss": 0.6811, + "step": 9410 + }, + { + "epoch": 0.28, + "learning_rate": 8.48982689896242e-06, + "loss": 0.8507, + "step": 9411 + }, + { + "epoch": 0.28, + "learning_rate": 8.48948617056012e-06, + "loss": 0.5942, + "step": 9412 + }, + { + "epoch": 0.28, + "learning_rate": 8.489145410563259e-06, + "loss": 0.5497, + "step": 9413 + }, + { + "epoch": 0.28, + "learning_rate": 8.488804618974923e-06, + "loss": 0.7483, + "step": 9414 + }, + { + "epoch": 0.28, + "learning_rate": 8.488463795798198e-06, + "loss": 1.0008, + "step": 9415 + }, + { + "epoch": 0.28, + "learning_rate": 8.488122941036167e-06, + "loss": 0.7686, + "step": 9416 + }, + { + "epoch": 0.28, + "learning_rate": 8.487782054691922e-06, + "loss": 0.8069, + "step": 9417 + }, + { + "epoch": 0.28, + "learning_rate": 8.487441136768543e-06, + "loss": 0.6782, + "step": 9418 + }, + { + "epoch": 0.28, + "learning_rate": 8.487100187269124e-06, + "loss": 0.7509, + "step": 9419 + }, + { + "epoch": 0.28, + "learning_rate": 8.486759206196745e-06, + "loss": 0.5981, + "step": 9420 + }, + { + "epoch": 0.28, + "learning_rate": 8.486418193554497e-06, + "loss": 0.7649, + "step": 9421 + }, + { + "epoch": 0.28, + "learning_rate": 8.486077149345468e-06, + "loss": 0.757, + "step": 9422 + }, + { + "epoch": 0.28, + "learning_rate": 8.485736073572744e-06, + "loss": 0.9438, + "step": 9423 + }, + { + "epoch": 0.28, + "learning_rate": 8.485394966239413e-06, + "loss": 0.8567, + "step": 9424 + }, + { + "epoch": 0.28, + "learning_rate": 8.485053827348567e-06, + "loss": 0.8258, + "step": 9425 + }, + { + "epoch": 0.28, + "learning_rate": 8.484712656903288e-06, + "loss": 0.6754, + "step": 9426 + }, + { + "epoch": 0.28, + "learning_rate": 8.484371454906673e-06, + "loss": 0.7362, + "step": 9427 + }, + { + "epoch": 0.28, + "learning_rate": 8.484030221361806e-06, + "loss": 0.8272, + "step": 9428 + }, + { + "epoch": 0.28, + "learning_rate": 8.483688956271778e-06, + "loss": 1.0451, + "step": 9429 + }, + { + "epoch": 0.28, + "learning_rate": 8.483347659639678e-06, + "loss": 0.6663, + "step": 9430 + }, + { + "epoch": 0.28, + "learning_rate": 8.483006331468598e-06, + "loss": 0.8429, + "step": 9431 + }, + { + "epoch": 0.28, + "learning_rate": 8.482664971761628e-06, + "loss": 0.8571, + "step": 9432 + }, + { + "epoch": 0.28, + "learning_rate": 8.482323580521858e-06, + "loss": 0.7481, + "step": 9433 + }, + { + "epoch": 0.28, + "learning_rate": 8.48198215775238e-06, + "loss": 0.6847, + "step": 9434 + }, + { + "epoch": 0.28, + "learning_rate": 8.481640703456285e-06, + "loss": 0.7767, + "step": 9435 + }, + { + "epoch": 0.28, + "learning_rate": 8.481299217636664e-06, + "loss": 0.8499, + "step": 9436 + }, + { + "epoch": 0.28, + "learning_rate": 8.480957700296608e-06, + "loss": 0.7183, + "step": 9437 + }, + { + "epoch": 0.28, + "learning_rate": 8.480616151439212e-06, + "loss": 0.7289, + "step": 9438 + }, + { + "epoch": 0.28, + "learning_rate": 8.480274571067566e-06, + "loss": 0.5472, + "step": 9439 + }, + { + "epoch": 0.28, + "learning_rate": 8.479932959184764e-06, + "loss": 0.8391, + "step": 9440 + }, + { + "epoch": 0.28, + "learning_rate": 8.479591315793898e-06, + "loss": 0.6508, + "step": 9441 + }, + { + "epoch": 0.28, + "learning_rate": 8.479249640898061e-06, + "loss": 0.6739, + "step": 9442 + }, + { + "epoch": 0.28, + "learning_rate": 8.47890793450035e-06, + "loss": 0.7403, + "step": 9443 + }, + { + "epoch": 0.28, + "learning_rate": 8.478566196603854e-06, + "loss": 0.8462, + "step": 9444 + }, + { + "epoch": 0.28, + "learning_rate": 8.47822442721167e-06, + "loss": 1.1417, + "step": 9445 + }, + { + "epoch": 0.28, + "learning_rate": 8.477882626326893e-06, + "loss": 0.6552, + "step": 9446 + }, + { + "epoch": 0.28, + "learning_rate": 8.477540793952617e-06, + "loss": 0.5953, + "step": 9447 + }, + { + "epoch": 0.28, + "learning_rate": 8.477198930091936e-06, + "loss": 0.809, + "step": 9448 + }, + { + "epoch": 0.28, + "learning_rate": 8.476857034747947e-06, + "loss": 0.8232, + "step": 9449 + }, + { + "epoch": 0.28, + "learning_rate": 8.476515107923744e-06, + "loss": 0.7738, + "step": 9450 + }, + { + "epoch": 0.28, + "learning_rate": 8.476173149622422e-06, + "loss": 0.4948, + "step": 9451 + }, + { + "epoch": 0.28, + "learning_rate": 8.475831159847082e-06, + "loss": 0.6309, + "step": 9452 + }, + { + "epoch": 0.28, + "learning_rate": 8.475489138600815e-06, + "loss": 1.1422, + "step": 9453 + }, + { + "epoch": 0.28, + "learning_rate": 8.47514708588672e-06, + "loss": 0.7905, + "step": 9454 + }, + { + "epoch": 0.28, + "learning_rate": 8.474805001707894e-06, + "loss": 0.7253, + "step": 9455 + }, + { + "epoch": 0.28, + "learning_rate": 8.474462886067433e-06, + "loss": 0.7489, + "step": 9456 + }, + { + "epoch": 0.28, + "learning_rate": 8.474120738968439e-06, + "loss": 0.9077, + "step": 9457 + }, + { + "epoch": 0.28, + "learning_rate": 8.473778560414006e-06, + "loss": 0.8529, + "step": 9458 + }, + { + "epoch": 0.28, + "learning_rate": 8.473436350407231e-06, + "loss": 0.6989, + "step": 9459 + }, + { + "epoch": 0.28, + "learning_rate": 8.473094108951216e-06, + "loss": 0.8301, + "step": 9460 + }, + { + "epoch": 0.28, + "learning_rate": 8.472751836049057e-06, + "loss": 0.7528, + "step": 9461 + }, + { + "epoch": 0.28, + "learning_rate": 8.472409531703853e-06, + "loss": 0.6697, + "step": 9462 + }, + { + "epoch": 0.28, + "learning_rate": 8.472067195918707e-06, + "loss": 0.6146, + "step": 9463 + }, + { + "epoch": 0.28, + "learning_rate": 8.471724828696713e-06, + "loss": 0.6637, + "step": 9464 + }, + { + "epoch": 0.28, + "learning_rate": 8.471382430040976e-06, + "loss": 0.7023, + "step": 9465 + }, + { + "epoch": 0.28, + "learning_rate": 8.471039999954594e-06, + "loss": 0.6047, + "step": 9466 + }, + { + "epoch": 0.28, + "learning_rate": 8.470697538440666e-06, + "loss": 0.7963, + "step": 9467 + }, + { + "epoch": 0.28, + "learning_rate": 8.470355045502294e-06, + "loss": 0.6403, + "step": 9468 + }, + { + "epoch": 0.28, + "learning_rate": 8.47001252114258e-06, + "loss": 0.8229, + "step": 9469 + }, + { + "epoch": 0.28, + "learning_rate": 8.469669965364624e-06, + "loss": 0.7939, + "step": 9470 + }, + { + "epoch": 0.28, + "learning_rate": 8.469327378171528e-06, + "loss": 0.5205, + "step": 9471 + }, + { + "epoch": 0.28, + "learning_rate": 8.468984759566395e-06, + "loss": 0.8945, + "step": 9472 + }, + { + "epoch": 0.28, + "learning_rate": 8.468642109552325e-06, + "loss": 0.7796, + "step": 9473 + }, + { + "epoch": 0.28, + "learning_rate": 8.46829942813242e-06, + "loss": 0.6461, + "step": 9474 + }, + { + "epoch": 0.28, + "learning_rate": 8.467956715309787e-06, + "loss": 0.7934, + "step": 9475 + }, + { + "epoch": 0.28, + "learning_rate": 8.467613971087523e-06, + "loss": 0.551, + "step": 9476 + }, + { + "epoch": 0.28, + "learning_rate": 8.467271195468736e-06, + "loss": 0.7758, + "step": 9477 + }, + { + "epoch": 0.28, + "learning_rate": 8.466928388456528e-06, + "loss": 0.7497, + "step": 9478 + }, + { + "epoch": 0.28, + "learning_rate": 8.466585550054002e-06, + "loss": 0.6658, + "step": 9479 + }, + { + "epoch": 0.28, + "learning_rate": 8.466242680264264e-06, + "loss": 0.7469, + "step": 9480 + }, + { + "epoch": 0.28, + "learning_rate": 8.465899779090416e-06, + "loss": 0.7816, + "step": 9481 + }, + { + "epoch": 0.28, + "learning_rate": 8.465556846535565e-06, + "loss": 0.8003, + "step": 9482 + }, + { + "epoch": 0.28, + "learning_rate": 8.465213882602816e-06, + "loss": 0.7686, + "step": 9483 + }, + { + "epoch": 0.28, + "learning_rate": 8.464870887295271e-06, + "loss": 0.9887, + "step": 9484 + }, + { + "epoch": 0.28, + "learning_rate": 8.46452786061604e-06, + "loss": 0.7071, + "step": 9485 + }, + { + "epoch": 0.28, + "learning_rate": 8.464184802568224e-06, + "loss": 0.7239, + "step": 9486 + }, + { + "epoch": 0.28, + "learning_rate": 8.463841713154935e-06, + "loss": 0.7474, + "step": 9487 + }, + { + "epoch": 0.28, + "learning_rate": 8.463498592379274e-06, + "loss": 0.6427, + "step": 9488 + }, + { + "epoch": 0.28, + "learning_rate": 8.463155440244352e-06, + "loss": 0.6961, + "step": 9489 + }, + { + "epoch": 0.28, + "learning_rate": 8.462812256753272e-06, + "loss": 0.7552, + "step": 9490 + }, + { + "epoch": 0.28, + "learning_rate": 8.462469041909143e-06, + "loss": 0.6196, + "step": 9491 + }, + { + "epoch": 0.28, + "learning_rate": 8.462125795715073e-06, + "loss": 0.758, + "step": 9492 + }, + { + "epoch": 0.28, + "learning_rate": 8.46178251817417e-06, + "loss": 0.7027, + "step": 9493 + }, + { + "epoch": 0.28, + "learning_rate": 8.46143920928954e-06, + "loss": 0.5395, + "step": 9494 + }, + { + "epoch": 0.28, + "learning_rate": 8.461095869064297e-06, + "loss": 0.9207, + "step": 9495 + }, + { + "epoch": 0.28, + "learning_rate": 8.460752497501543e-06, + "loss": 0.653, + "step": 9496 + }, + { + "epoch": 0.28, + "learning_rate": 8.460409094604389e-06, + "loss": 0.7052, + "step": 9497 + }, + { + "epoch": 0.28, + "learning_rate": 8.460065660375945e-06, + "loss": 0.8333, + "step": 9498 + }, + { + "epoch": 0.28, + "learning_rate": 8.459722194819323e-06, + "loss": 0.8959, + "step": 9499 + }, + { + "epoch": 0.28, + "learning_rate": 8.459378697937627e-06, + "loss": 0.9023, + "step": 9500 + }, + { + "epoch": 0.28, + "learning_rate": 8.459035169733972e-06, + "loss": 0.7593, + "step": 9501 + }, + { + "epoch": 0.28, + "learning_rate": 8.458691610211466e-06, + "loss": 0.6268, + "step": 9502 + }, + { + "epoch": 0.28, + "learning_rate": 8.45834801937322e-06, + "loss": 0.7853, + "step": 9503 + }, + { + "epoch": 0.28, + "learning_rate": 8.458004397222345e-06, + "loss": 1.0438, + "step": 9504 + }, + { + "epoch": 0.28, + "learning_rate": 8.457660743761954e-06, + "loss": 0.6337, + "step": 9505 + }, + { + "epoch": 0.28, + "learning_rate": 8.457317058995156e-06, + "loss": 0.9481, + "step": 9506 + }, + { + "epoch": 0.28, + "learning_rate": 8.456973342925065e-06, + "loss": 0.6258, + "step": 9507 + }, + { + "epoch": 0.28, + "learning_rate": 8.456629595554792e-06, + "loss": 0.5239, + "step": 9508 + }, + { + "epoch": 0.28, + "learning_rate": 8.45628581688745e-06, + "loss": 1.0275, + "step": 9509 + }, + { + "epoch": 0.28, + "learning_rate": 8.455942006926147e-06, + "loss": 0.7005, + "step": 9510 + }, + { + "epoch": 0.28, + "learning_rate": 8.455598165674002e-06, + "loss": 0.5659, + "step": 9511 + }, + { + "epoch": 0.28, + "learning_rate": 8.455254293134128e-06, + "loss": 0.857, + "step": 9512 + }, + { + "epoch": 0.28, + "learning_rate": 8.454910389309634e-06, + "loss": 0.8528, + "step": 9513 + }, + { + "epoch": 0.28, + "learning_rate": 8.454566454203638e-06, + "loss": 0.7452, + "step": 9514 + }, + { + "epoch": 0.28, + "learning_rate": 8.45422248781925e-06, + "loss": 0.9419, + "step": 9515 + }, + { + "epoch": 0.28, + "learning_rate": 8.45387849015959e-06, + "loss": 0.5848, + "step": 9516 + }, + { + "epoch": 0.28, + "learning_rate": 8.453534461227767e-06, + "loss": 0.6698, + "step": 9517 + }, + { + "epoch": 0.28, + "learning_rate": 8.4531904010269e-06, + "loss": 0.9241, + "step": 9518 + }, + { + "epoch": 0.28, + "learning_rate": 8.4528463095601e-06, + "loss": 0.7644, + "step": 9519 + }, + { + "epoch": 0.28, + "learning_rate": 8.452502186830487e-06, + "loss": 0.8711, + "step": 9520 + }, + { + "epoch": 0.28, + "learning_rate": 8.452158032841175e-06, + "loss": 0.8249, + "step": 9521 + }, + { + "epoch": 0.28, + "learning_rate": 8.451813847595279e-06, + "loss": 0.7944, + "step": 9522 + }, + { + "epoch": 0.28, + "learning_rate": 8.451469631095916e-06, + "loss": 0.7339, + "step": 9523 + }, + { + "epoch": 0.28, + "learning_rate": 8.451125383346203e-06, + "loss": 1.1618, + "step": 9524 + }, + { + "epoch": 0.28, + "learning_rate": 8.450781104349257e-06, + "loss": 0.6694, + "step": 9525 + }, + { + "epoch": 0.28, + "learning_rate": 8.450436794108194e-06, + "loss": 0.7726, + "step": 9526 + }, + { + "epoch": 0.28, + "learning_rate": 8.450092452626132e-06, + "loss": 0.6448, + "step": 9527 + }, + { + "epoch": 0.28, + "learning_rate": 8.449748079906189e-06, + "loss": 0.7126, + "step": 9528 + }, + { + "epoch": 0.28, + "learning_rate": 8.449403675951485e-06, + "loss": 0.7982, + "step": 9529 + }, + { + "epoch": 0.28, + "learning_rate": 8.449059240765132e-06, + "loss": 0.803, + "step": 9530 + }, + { + "epoch": 0.28, + "learning_rate": 8.448714774350257e-06, + "loss": 0.6953, + "step": 9531 + }, + { + "epoch": 0.28, + "learning_rate": 8.448370276709973e-06, + "loss": 0.8558, + "step": 9532 + }, + { + "epoch": 0.28, + "learning_rate": 8.448025747847401e-06, + "loss": 0.6392, + "step": 9533 + }, + { + "epoch": 0.28, + "learning_rate": 8.447681187765661e-06, + "loss": 0.8124, + "step": 9534 + }, + { + "epoch": 0.28, + "learning_rate": 8.447336596467872e-06, + "loss": 0.8134, + "step": 9535 + }, + { + "epoch": 0.28, + "learning_rate": 8.446991973957154e-06, + "loss": 0.6664, + "step": 9536 + }, + { + "epoch": 0.28, + "learning_rate": 8.446647320236627e-06, + "loss": 0.7349, + "step": 9537 + }, + { + "epoch": 0.28, + "learning_rate": 8.446302635309413e-06, + "loss": 0.7098, + "step": 9538 + }, + { + "epoch": 0.28, + "learning_rate": 8.44595791917863e-06, + "loss": 0.7042, + "step": 9539 + }, + { + "epoch": 0.28, + "learning_rate": 8.445613171847403e-06, + "loss": 0.8245, + "step": 9540 + }, + { + "epoch": 0.28, + "learning_rate": 8.44526839331885e-06, + "loss": 0.906, + "step": 9541 + }, + { + "epoch": 0.28, + "learning_rate": 8.444923583596094e-06, + "loss": 0.7728, + "step": 9542 + }, + { + "epoch": 0.28, + "learning_rate": 8.44457874268226e-06, + "loss": 0.7259, + "step": 9543 + }, + { + "epoch": 0.28, + "learning_rate": 8.444233870580463e-06, + "loss": 0.5861, + "step": 9544 + }, + { + "epoch": 0.28, + "learning_rate": 8.443888967293832e-06, + "loss": 0.4536, + "step": 9545 + }, + { + "epoch": 0.28, + "learning_rate": 8.443544032825486e-06, + "loss": 0.7938, + "step": 9546 + }, + { + "epoch": 0.28, + "learning_rate": 8.443199067178552e-06, + "loss": 0.5538, + "step": 9547 + }, + { + "epoch": 0.28, + "learning_rate": 8.44285407035615e-06, + "loss": 0.6628, + "step": 9548 + }, + { + "epoch": 0.28, + "learning_rate": 8.442509042361406e-06, + "loss": 0.9833, + "step": 9549 + }, + { + "epoch": 0.28, + "learning_rate": 8.442163983197441e-06, + "loss": 0.662, + "step": 9550 + }, + { + "epoch": 0.28, + "learning_rate": 8.441818892867381e-06, + "loss": 0.7204, + "step": 9551 + }, + { + "epoch": 0.28, + "learning_rate": 8.441473771374353e-06, + "loss": 0.8563, + "step": 9552 + }, + { + "epoch": 0.28, + "learning_rate": 8.441128618721479e-06, + "loss": 0.7341, + "step": 9553 + }, + { + "epoch": 0.28, + "learning_rate": 8.440783434911883e-06, + "loss": 0.7668, + "step": 9554 + }, + { + "epoch": 0.28, + "learning_rate": 8.440438219948692e-06, + "loss": 0.941, + "step": 9555 + }, + { + "epoch": 0.28, + "learning_rate": 8.440092973835032e-06, + "loss": 0.7258, + "step": 9556 + }, + { + "epoch": 0.28, + "learning_rate": 8.439747696574028e-06, + "loss": 0.648, + "step": 9557 + }, + { + "epoch": 0.28, + "learning_rate": 8.439402388168808e-06, + "loss": 0.7268, + "step": 9558 + }, + { + "epoch": 0.28, + "learning_rate": 8.439057048622494e-06, + "loss": 0.705, + "step": 9559 + }, + { + "epoch": 0.28, + "learning_rate": 8.438711677938218e-06, + "loss": 0.9418, + "step": 9560 + }, + { + "epoch": 0.28, + "learning_rate": 8.438366276119104e-06, + "loss": 0.9838, + "step": 9561 + }, + { + "epoch": 0.28, + "learning_rate": 8.438020843168282e-06, + "loss": 0.9833, + "step": 9562 + }, + { + "epoch": 0.28, + "learning_rate": 8.437675379088876e-06, + "loss": 0.8003, + "step": 9563 + }, + { + "epoch": 0.28, + "learning_rate": 8.437329883884018e-06, + "loss": 0.8821, + "step": 9564 + }, + { + "epoch": 0.28, + "learning_rate": 8.436984357556832e-06, + "loss": 0.8161, + "step": 9565 + }, + { + "epoch": 0.28, + "learning_rate": 8.43663880011045e-06, + "loss": 0.7066, + "step": 9566 + }, + { + "epoch": 0.28, + "learning_rate": 8.436293211547998e-06, + "loss": 0.7697, + "step": 9567 + }, + { + "epoch": 0.28, + "learning_rate": 8.435947591872607e-06, + "loss": 0.851, + "step": 9568 + }, + { + "epoch": 0.28, + "learning_rate": 8.435601941087407e-06, + "loss": 0.7851, + "step": 9569 + }, + { + "epoch": 0.28, + "learning_rate": 8.435256259195524e-06, + "loss": 0.7932, + "step": 9570 + }, + { + "epoch": 0.28, + "learning_rate": 8.43491054620009e-06, + "loss": 0.7126, + "step": 9571 + }, + { + "epoch": 0.28, + "learning_rate": 8.434564802104236e-06, + "loss": 0.4983, + "step": 9572 + }, + { + "epoch": 0.28, + "learning_rate": 8.434219026911092e-06, + "loss": 0.8845, + "step": 9573 + }, + { + "epoch": 0.28, + "learning_rate": 8.433873220623789e-06, + "loss": 0.6872, + "step": 9574 + }, + { + "epoch": 0.28, + "learning_rate": 8.433527383245456e-06, + "loss": 0.6698, + "step": 9575 + }, + { + "epoch": 0.28, + "learning_rate": 8.433181514779226e-06, + "loss": 0.6962, + "step": 9576 + }, + { + "epoch": 0.28, + "learning_rate": 8.432835615228231e-06, + "loss": 0.5961, + "step": 9577 + }, + { + "epoch": 0.28, + "learning_rate": 8.432489684595602e-06, + "loss": 0.5371, + "step": 9578 + }, + { + "epoch": 0.28, + "learning_rate": 8.43214372288447e-06, + "loss": 0.7109, + "step": 9579 + }, + { + "epoch": 0.28, + "learning_rate": 8.43179773009797e-06, + "loss": 0.8396, + "step": 9580 + }, + { + "epoch": 0.28, + "learning_rate": 8.431451706239232e-06, + "loss": 0.6666, + "step": 9581 + }, + { + "epoch": 0.28, + "learning_rate": 8.43110565131139e-06, + "loss": 0.8788, + "step": 9582 + }, + { + "epoch": 0.28, + "learning_rate": 8.43075956531758e-06, + "loss": 0.6086, + "step": 9583 + }, + { + "epoch": 0.28, + "learning_rate": 8.43041344826093e-06, + "loss": 0.5609, + "step": 9584 + }, + { + "epoch": 0.28, + "learning_rate": 8.43006730014458e-06, + "loss": 0.9877, + "step": 9585 + }, + { + "epoch": 0.28, + "learning_rate": 8.42972112097166e-06, + "loss": 0.6631, + "step": 9586 + }, + { + "epoch": 0.28, + "learning_rate": 8.429374910745307e-06, + "loss": 0.8153, + "step": 9587 + }, + { + "epoch": 0.28, + "learning_rate": 8.429028669468651e-06, + "loss": 0.7268, + "step": 9588 + }, + { + "epoch": 0.28, + "learning_rate": 8.42868239714483e-06, + "loss": 0.9132, + "step": 9589 + }, + { + "epoch": 0.28, + "learning_rate": 8.428336093776981e-06, + "loss": 0.7233, + "step": 9590 + }, + { + "epoch": 0.28, + "learning_rate": 8.427989759368239e-06, + "loss": 0.6417, + "step": 9591 + }, + { + "epoch": 0.28, + "learning_rate": 8.427643393921737e-06, + "loss": 0.6909, + "step": 9592 + }, + { + "epoch": 0.28, + "learning_rate": 8.42729699744061e-06, + "loss": 0.6423, + "step": 9593 + }, + { + "epoch": 0.28, + "learning_rate": 8.426950569928e-06, + "loss": 0.9247, + "step": 9594 + }, + { + "epoch": 0.28, + "learning_rate": 8.42660411138704e-06, + "loss": 0.6534, + "step": 9595 + }, + { + "epoch": 0.28, + "learning_rate": 8.426257621820868e-06, + "loss": 0.9338, + "step": 9596 + }, + { + "epoch": 0.28, + "learning_rate": 8.42591110123262e-06, + "loss": 0.8092, + "step": 9597 + }, + { + "epoch": 0.28, + "learning_rate": 8.425564549625435e-06, + "loss": 0.7682, + "step": 9598 + }, + { + "epoch": 0.28, + "learning_rate": 8.425217967002449e-06, + "loss": 0.7899, + "step": 9599 + }, + { + "epoch": 0.28, + "learning_rate": 8.424871353366801e-06, + "loss": 0.6664, + "step": 9600 + }, + { + "epoch": 0.28, + "learning_rate": 8.424524708721628e-06, + "loss": 0.7722, + "step": 9601 + }, + { + "epoch": 0.28, + "learning_rate": 8.424178033070072e-06, + "loss": 0.479, + "step": 9602 + }, + { + "epoch": 0.28, + "learning_rate": 8.423831326415268e-06, + "loss": 0.783, + "step": 9603 + }, + { + "epoch": 0.28, + "learning_rate": 8.423484588760358e-06, + "loss": 0.8608, + "step": 9604 + }, + { + "epoch": 0.28, + "learning_rate": 8.42313782010848e-06, + "loss": 0.629, + "step": 9605 + }, + { + "epoch": 0.28, + "learning_rate": 8.422791020462775e-06, + "loss": 0.9089, + "step": 9606 + }, + { + "epoch": 0.28, + "learning_rate": 8.422444189826382e-06, + "loss": 0.5491, + "step": 9607 + }, + { + "epoch": 0.28, + "learning_rate": 8.422097328202438e-06, + "loss": 0.7841, + "step": 9608 + }, + { + "epoch": 0.28, + "learning_rate": 8.42175043559409e-06, + "loss": 0.7505, + "step": 9609 + }, + { + "epoch": 0.28, + "learning_rate": 8.421403512004476e-06, + "loss": 0.6752, + "step": 9610 + }, + { + "epoch": 0.28, + "learning_rate": 8.421056557436736e-06, + "loss": 0.7406, + "step": 9611 + }, + { + "epoch": 0.28, + "learning_rate": 8.420709571894012e-06, + "loss": 0.7909, + "step": 9612 + }, + { + "epoch": 0.28, + "learning_rate": 8.420362555379447e-06, + "loss": 0.5669, + "step": 9613 + }, + { + "epoch": 0.28, + "learning_rate": 8.42001550789618e-06, + "loss": 0.8815, + "step": 9614 + }, + { + "epoch": 0.28, + "learning_rate": 8.419668429447357e-06, + "loss": 0.8114, + "step": 9615 + }, + { + "epoch": 0.28, + "learning_rate": 8.419321320036115e-06, + "loss": 0.8669, + "step": 9616 + }, + { + "epoch": 0.28, + "learning_rate": 8.418974179665604e-06, + "loss": 0.7979, + "step": 9617 + }, + { + "epoch": 0.28, + "learning_rate": 8.418627008338963e-06, + "loss": 0.8992, + "step": 9618 + }, + { + "epoch": 0.28, + "learning_rate": 8.418279806059336e-06, + "loss": 0.9909, + "step": 9619 + }, + { + "epoch": 0.28, + "learning_rate": 8.417932572829865e-06, + "loss": 0.6268, + "step": 9620 + }, + { + "epoch": 0.28, + "learning_rate": 8.417585308653698e-06, + "loss": 0.8473, + "step": 9621 + }, + { + "epoch": 0.28, + "learning_rate": 8.417238013533974e-06, + "loss": 0.7411, + "step": 9622 + }, + { + "epoch": 0.28, + "learning_rate": 8.416890687473843e-06, + "loss": 0.8654, + "step": 9623 + }, + { + "epoch": 0.28, + "learning_rate": 8.416543330476444e-06, + "loss": 0.9242, + "step": 9624 + }, + { + "epoch": 0.28, + "learning_rate": 8.416195942544927e-06, + "loss": 0.7823, + "step": 9625 + }, + { + "epoch": 0.28, + "learning_rate": 8.415848523682436e-06, + "loss": 0.6165, + "step": 9626 + }, + { + "epoch": 0.28, + "learning_rate": 8.415501073892114e-06, + "loss": 0.683, + "step": 9627 + }, + { + "epoch": 0.28, + "learning_rate": 8.415153593177109e-06, + "loss": 0.8006, + "step": 9628 + }, + { + "epoch": 0.28, + "learning_rate": 8.414806081540568e-06, + "loss": 0.5925, + "step": 9629 + }, + { + "epoch": 0.28, + "learning_rate": 8.414458538985635e-06, + "loss": 0.6181, + "step": 9630 + }, + { + "epoch": 0.28, + "learning_rate": 8.414110965515459e-06, + "loss": 0.5801, + "step": 9631 + }, + { + "epoch": 0.28, + "learning_rate": 8.413763361133184e-06, + "loss": 0.7605, + "step": 9632 + }, + { + "epoch": 0.28, + "learning_rate": 8.413415725841963e-06, + "loss": 0.6893, + "step": 9633 + }, + { + "epoch": 0.28, + "learning_rate": 8.413068059644938e-06, + "loss": 0.7695, + "step": 9634 + }, + { + "epoch": 0.28, + "learning_rate": 8.41272036254526e-06, + "loss": 0.8224, + "step": 9635 + }, + { + "epoch": 0.28, + "learning_rate": 8.412372634546073e-06, + "loss": 0.9511, + "step": 9636 + }, + { + "epoch": 0.28, + "learning_rate": 8.41202487565053e-06, + "loss": 0.9519, + "step": 9637 + }, + { + "epoch": 0.28, + "learning_rate": 8.41167708586178e-06, + "loss": 0.8382, + "step": 9638 + }, + { + "epoch": 0.28, + "learning_rate": 8.411329265182968e-06, + "loss": 0.6202, + "step": 9639 + }, + { + "epoch": 0.28, + "learning_rate": 8.410981413617245e-06, + "loss": 0.8137, + "step": 9640 + }, + { + "epoch": 0.28, + "learning_rate": 8.410633531167762e-06, + "loss": 0.7559, + "step": 9641 + }, + { + "epoch": 0.28, + "learning_rate": 8.410285617837669e-06, + "loss": 0.7441, + "step": 9642 + }, + { + "epoch": 0.28, + "learning_rate": 8.40993767363011e-06, + "loss": 0.8214, + "step": 9643 + }, + { + "epoch": 0.28, + "learning_rate": 8.409589698548243e-06, + "loss": 0.829, + "step": 9644 + }, + { + "epoch": 0.28, + "learning_rate": 8.409241692595215e-06, + "loss": 0.6305, + "step": 9645 + }, + { + "epoch": 0.28, + "learning_rate": 8.40889365577418e-06, + "loss": 0.8472, + "step": 9646 + }, + { + "epoch": 0.28, + "learning_rate": 8.408545588088284e-06, + "loss": 0.8062, + "step": 9647 + }, + { + "epoch": 0.28, + "learning_rate": 8.40819748954068e-06, + "loss": 0.4535, + "step": 9648 + }, + { + "epoch": 0.28, + "learning_rate": 8.407849360134523e-06, + "loss": 0.5531, + "step": 9649 + }, + { + "epoch": 0.28, + "learning_rate": 8.407501199872963e-06, + "loss": 0.7733, + "step": 9650 + }, + { + "epoch": 0.28, + "learning_rate": 8.407153008759152e-06, + "loss": 1.0719, + "step": 9651 + }, + { + "epoch": 0.28, + "learning_rate": 8.406804786796245e-06, + "loss": 0.6693, + "step": 9652 + }, + { + "epoch": 0.28, + "learning_rate": 8.406456533987391e-06, + "loss": 0.6995, + "step": 9653 + }, + { + "epoch": 0.28, + "learning_rate": 8.406108250335745e-06, + "loss": 0.7498, + "step": 9654 + }, + { + "epoch": 0.28, + "learning_rate": 8.40575993584446e-06, + "loss": 0.6341, + "step": 9655 + }, + { + "epoch": 0.28, + "learning_rate": 8.40541159051669e-06, + "loss": 0.7081, + "step": 9656 + }, + { + "epoch": 0.28, + "learning_rate": 8.405063214355591e-06, + "loss": 0.9247, + "step": 9657 + }, + { + "epoch": 0.28, + "learning_rate": 8.404714807364313e-06, + "loss": 0.7459, + "step": 9658 + }, + { + "epoch": 0.28, + "learning_rate": 8.404366369546015e-06, + "loss": 1.0869, + "step": 9659 + }, + { + "epoch": 0.28, + "learning_rate": 8.404017900903849e-06, + "loss": 0.677, + "step": 9660 + }, + { + "epoch": 0.28, + "learning_rate": 8.40366940144097e-06, + "loss": 0.6715, + "step": 9661 + }, + { + "epoch": 0.28, + "learning_rate": 8.403320871160536e-06, + "loss": 0.7085, + "step": 9662 + }, + { + "epoch": 0.28, + "learning_rate": 8.4029723100657e-06, + "loss": 0.5962, + "step": 9663 + }, + { + "epoch": 0.28, + "learning_rate": 8.40262371815962e-06, + "loss": 0.8368, + "step": 9664 + }, + { + "epoch": 0.28, + "learning_rate": 8.402275095445449e-06, + "loss": 0.9158, + "step": 9665 + }, + { + "epoch": 0.28, + "learning_rate": 8.401926441926346e-06, + "loss": 0.9866, + "step": 9666 + }, + { + "epoch": 0.28, + "learning_rate": 8.40157775760547e-06, + "loss": 0.6826, + "step": 9667 + }, + { + "epoch": 0.28, + "learning_rate": 8.401229042485973e-06, + "loss": 0.718, + "step": 9668 + }, + { + "epoch": 0.28, + "learning_rate": 8.400880296571017e-06, + "loss": 0.6887, + "step": 9669 + }, + { + "epoch": 0.28, + "learning_rate": 8.400531519863754e-06, + "loss": 0.9356, + "step": 9670 + }, + { + "epoch": 0.28, + "learning_rate": 8.400182712367348e-06, + "loss": 0.7282, + "step": 9671 + }, + { + "epoch": 0.28, + "learning_rate": 8.399833874084954e-06, + "loss": 0.9499, + "step": 9672 + }, + { + "epoch": 0.28, + "learning_rate": 8.399485005019731e-06, + "loss": 0.7515, + "step": 9673 + }, + { + "epoch": 0.28, + "learning_rate": 8.399136105174838e-06, + "loss": 0.4632, + "step": 9674 + }, + { + "epoch": 0.28, + "learning_rate": 8.398787174553434e-06, + "loss": 0.8135, + "step": 9675 + }, + { + "epoch": 0.28, + "learning_rate": 8.398438213158677e-06, + "loss": 0.6655, + "step": 9676 + }, + { + "epoch": 0.28, + "learning_rate": 8.398089220993728e-06, + "loss": 0.9051, + "step": 9677 + }, + { + "epoch": 0.28, + "learning_rate": 8.397740198061745e-06, + "loss": 0.7448, + "step": 9678 + }, + { + "epoch": 0.28, + "learning_rate": 8.397391144365892e-06, + "loss": 0.7623, + "step": 9679 + }, + { + "epoch": 0.28, + "learning_rate": 8.397042059909327e-06, + "loss": 0.824, + "step": 9680 + }, + { + "epoch": 0.28, + "learning_rate": 8.39669294469521e-06, + "loss": 0.7893, + "step": 9681 + }, + { + "epoch": 0.28, + "learning_rate": 8.396343798726703e-06, + "loss": 0.8186, + "step": 9682 + }, + { + "epoch": 0.28, + "learning_rate": 8.395994622006965e-06, + "loss": 0.6661, + "step": 9683 + }, + { + "epoch": 0.28, + "learning_rate": 8.39564541453916e-06, + "loss": 0.8119, + "step": 9684 + }, + { + "epoch": 0.28, + "learning_rate": 8.39529617632645e-06, + "loss": 0.7437, + "step": 9685 + }, + { + "epoch": 0.28, + "learning_rate": 8.394946907371997e-06, + "loss": 0.7741, + "step": 9686 + }, + { + "epoch": 0.28, + "learning_rate": 8.394597607678963e-06, + "loss": 0.5889, + "step": 9687 + }, + { + "epoch": 0.28, + "learning_rate": 8.394248277250507e-06, + "loss": 0.8673, + "step": 9688 + }, + { + "epoch": 0.28, + "learning_rate": 8.393898916089797e-06, + "loss": 0.5984, + "step": 9689 + }, + { + "epoch": 0.28, + "learning_rate": 8.393549524199996e-06, + "loss": 0.6204, + "step": 9690 + }, + { + "epoch": 0.28, + "learning_rate": 8.393200101584264e-06, + "loss": 1.0526, + "step": 9691 + }, + { + "epoch": 0.28, + "learning_rate": 8.392850648245767e-06, + "loss": 0.5825, + "step": 9692 + }, + { + "epoch": 0.28, + "learning_rate": 8.392501164187668e-06, + "loss": 0.7316, + "step": 9693 + }, + { + "epoch": 0.28, + "learning_rate": 8.392151649413134e-06, + "loss": 0.8503, + "step": 9694 + }, + { + "epoch": 0.28, + "learning_rate": 8.391802103925325e-06, + "loss": 0.7271, + "step": 9695 + }, + { + "epoch": 0.28, + "learning_rate": 8.391452527727411e-06, + "loss": 0.7644, + "step": 9696 + }, + { + "epoch": 0.28, + "learning_rate": 8.391102920822553e-06, + "loss": 0.7551, + "step": 9697 + }, + { + "epoch": 0.28, + "learning_rate": 8.390753283213917e-06, + "loss": 0.8179, + "step": 9698 + }, + { + "epoch": 0.28, + "learning_rate": 8.390403614904671e-06, + "loss": 0.7619, + "step": 9699 + }, + { + "epoch": 0.28, + "learning_rate": 8.390053915897979e-06, + "loss": 0.7984, + "step": 9700 + }, + { + "epoch": 0.29, + "learning_rate": 8.389704186197008e-06, + "loss": 0.5507, + "step": 9701 + }, + { + "epoch": 0.29, + "learning_rate": 8.389354425804923e-06, + "loss": 0.7909, + "step": 9702 + }, + { + "epoch": 0.29, + "learning_rate": 8.389004634724894e-06, + "loss": 0.8476, + "step": 9703 + }, + { + "epoch": 0.29, + "learning_rate": 8.388654812960087e-06, + "loss": 0.7315, + "step": 9704 + }, + { + "epoch": 0.29, + "learning_rate": 8.388304960513666e-06, + "loss": 0.6506, + "step": 9705 + }, + { + "epoch": 0.29, + "learning_rate": 8.387955077388803e-06, + "loss": 0.7297, + "step": 9706 + }, + { + "epoch": 0.29, + "learning_rate": 8.387605163588663e-06, + "loss": 0.6227, + "step": 9707 + }, + { + "epoch": 0.29, + "learning_rate": 8.387255219116417e-06, + "loss": 0.7133, + "step": 9708 + }, + { + "epoch": 0.29, + "learning_rate": 8.386905243975231e-06, + "loss": 0.8508, + "step": 9709 + }, + { + "epoch": 0.29, + "learning_rate": 8.386555238168274e-06, + "loss": 0.6226, + "step": 9710 + }, + { + "epoch": 0.29, + "learning_rate": 8.386205201698719e-06, + "loss": 0.9757, + "step": 9711 + }, + { + "epoch": 0.29, + "learning_rate": 8.385855134569728e-06, + "loss": 0.6972, + "step": 9712 + }, + { + "epoch": 0.29, + "learning_rate": 8.385505036784474e-06, + "loss": 0.7479, + "step": 9713 + }, + { + "epoch": 0.29, + "learning_rate": 8.38515490834613e-06, + "loss": 0.7486, + "step": 9714 + }, + { + "epoch": 0.29, + "learning_rate": 8.384804749257861e-06, + "loss": 0.7666, + "step": 9715 + }, + { + "epoch": 0.29, + "learning_rate": 8.384454559522843e-06, + "loss": 0.6852, + "step": 9716 + }, + { + "epoch": 0.29, + "learning_rate": 8.384104339144243e-06, + "loss": 0.6708, + "step": 9717 + }, + { + "epoch": 0.29, + "learning_rate": 8.383754088125232e-06, + "loss": 0.8763, + "step": 9718 + }, + { + "epoch": 0.29, + "learning_rate": 8.383403806468981e-06, + "loss": 0.7397, + "step": 9719 + }, + { + "epoch": 0.29, + "learning_rate": 8.383053494178663e-06, + "loss": 0.6005, + "step": 9720 + }, + { + "epoch": 0.29, + "learning_rate": 8.38270315125745e-06, + "loss": 0.5609, + "step": 9721 + }, + { + "epoch": 0.29, + "learning_rate": 8.382352777708511e-06, + "loss": 0.69, + "step": 9722 + }, + { + "epoch": 0.29, + "learning_rate": 8.38200237353502e-06, + "loss": 0.6201, + "step": 9723 + }, + { + "epoch": 0.29, + "learning_rate": 8.381651938740155e-06, + "loss": 0.868, + "step": 9724 + }, + { + "epoch": 0.29, + "learning_rate": 8.38130147332708e-06, + "loss": 0.5541, + "step": 9725 + }, + { + "epoch": 0.29, + "learning_rate": 8.380950977298974e-06, + "loss": 0.8013, + "step": 9726 + }, + { + "epoch": 0.29, + "learning_rate": 8.380600450659008e-06, + "loss": 0.7622, + "step": 9727 + }, + { + "epoch": 0.29, + "learning_rate": 8.380249893410356e-06, + "loss": 0.7945, + "step": 9728 + }, + { + "epoch": 0.29, + "learning_rate": 8.379899305556195e-06, + "loss": 0.9256, + "step": 9729 + }, + { + "epoch": 0.29, + "learning_rate": 8.379548687099696e-06, + "loss": 0.7113, + "step": 9730 + }, + { + "epoch": 0.29, + "learning_rate": 8.379198038044035e-06, + "loss": 0.7275, + "step": 9731 + }, + { + "epoch": 0.29, + "learning_rate": 8.378847358392383e-06, + "loss": 0.8259, + "step": 9732 + }, + { + "epoch": 0.29, + "learning_rate": 8.37849664814792e-06, + "loss": 0.5679, + "step": 9733 + }, + { + "epoch": 0.29, + "learning_rate": 8.378145907313822e-06, + "loss": 0.6983, + "step": 9734 + }, + { + "epoch": 0.29, + "learning_rate": 8.377795135893261e-06, + "loss": 0.9472, + "step": 9735 + }, + { + "epoch": 0.29, + "learning_rate": 8.377444333889414e-06, + "loss": 0.6618, + "step": 9736 + }, + { + "epoch": 0.29, + "learning_rate": 8.377093501305458e-06, + "loss": 0.8369, + "step": 9737 + }, + { + "epoch": 0.29, + "learning_rate": 8.37674263814457e-06, + "loss": 1.12, + "step": 9738 + }, + { + "epoch": 0.29, + "learning_rate": 8.376391744409925e-06, + "loss": 0.9185, + "step": 9739 + }, + { + "epoch": 0.29, + "learning_rate": 8.376040820104703e-06, + "loss": 0.7315, + "step": 9740 + }, + { + "epoch": 0.29, + "learning_rate": 8.375689865232077e-06, + "loss": 0.9939, + "step": 9741 + }, + { + "epoch": 0.29, + "learning_rate": 8.375338879795228e-06, + "loss": 0.5189, + "step": 9742 + }, + { + "epoch": 0.29, + "learning_rate": 8.374987863797333e-06, + "loss": 0.6972, + "step": 9743 + }, + { + "epoch": 0.29, + "learning_rate": 8.37463681724157e-06, + "loss": 0.7776, + "step": 9744 + }, + { + "epoch": 0.29, + "learning_rate": 8.374285740131117e-06, + "loss": 0.8911, + "step": 9745 + }, + { + "epoch": 0.29, + "learning_rate": 8.373934632469154e-06, + "loss": 0.7822, + "step": 9746 + }, + { + "epoch": 0.29, + "learning_rate": 8.373583494258859e-06, + "loss": 0.7747, + "step": 9747 + }, + { + "epoch": 0.29, + "learning_rate": 8.373232325503412e-06, + "loss": 0.7496, + "step": 9748 + }, + { + "epoch": 0.29, + "learning_rate": 8.372881126205992e-06, + "loss": 0.7429, + "step": 9749 + }, + { + "epoch": 0.29, + "learning_rate": 8.372529896369778e-06, + "loss": 0.8435, + "step": 9750 + }, + { + "epoch": 0.29, + "learning_rate": 8.372178635997954e-06, + "loss": 0.632, + "step": 9751 + }, + { + "epoch": 0.29, + "learning_rate": 8.371827345093695e-06, + "loss": 0.8939, + "step": 9752 + }, + { + "epoch": 0.29, + "learning_rate": 8.371476023660184e-06, + "loss": 0.8686, + "step": 9753 + }, + { + "epoch": 0.29, + "learning_rate": 8.371124671700603e-06, + "loss": 0.638, + "step": 9754 + }, + { + "epoch": 0.29, + "learning_rate": 8.370773289218133e-06, + "loss": 0.7931, + "step": 9755 + }, + { + "epoch": 0.29, + "learning_rate": 8.370421876215952e-06, + "loss": 0.587, + "step": 9756 + }, + { + "epoch": 0.29, + "learning_rate": 8.370070432697248e-06, + "loss": 0.8448, + "step": 9757 + }, + { + "epoch": 0.29, + "learning_rate": 8.369718958665198e-06, + "loss": 1.0285, + "step": 9758 + }, + { + "epoch": 0.29, + "learning_rate": 8.369367454122986e-06, + "loss": 0.742, + "step": 9759 + }, + { + "epoch": 0.29, + "learning_rate": 8.369015919073792e-06, + "loss": 0.8016, + "step": 9760 + }, + { + "epoch": 0.29, + "learning_rate": 8.368664353520806e-06, + "loss": 0.474, + "step": 9761 + }, + { + "epoch": 0.29, + "learning_rate": 8.368312757467203e-06, + "loss": 0.7741, + "step": 9762 + }, + { + "epoch": 0.29, + "learning_rate": 8.367961130916172e-06, + "loss": 1.1242, + "step": 9763 + }, + { + "epoch": 0.29, + "learning_rate": 8.367609473870894e-06, + "loss": 0.7169, + "step": 9764 + }, + { + "epoch": 0.29, + "learning_rate": 8.367257786334555e-06, + "loss": 0.7198, + "step": 9765 + }, + { + "epoch": 0.29, + "learning_rate": 8.366906068310337e-06, + "loss": 0.6867, + "step": 9766 + }, + { + "epoch": 0.29, + "learning_rate": 8.366554319801422e-06, + "loss": 0.6626, + "step": 9767 + }, + { + "epoch": 0.29, + "learning_rate": 8.366202540811003e-06, + "loss": 0.35, + "step": 9768 + }, + { + "epoch": 0.29, + "learning_rate": 8.365850731342257e-06, + "loss": 0.8288, + "step": 9769 + }, + { + "epoch": 0.29, + "learning_rate": 8.365498891398376e-06, + "loss": 0.5142, + "step": 9770 + }, + { + "epoch": 0.29, + "learning_rate": 8.36514702098254e-06, + "loss": 0.6672, + "step": 9771 + }, + { + "epoch": 0.29, + "learning_rate": 8.364795120097938e-06, + "loss": 0.9226, + "step": 9772 + }, + { + "epoch": 0.29, + "learning_rate": 8.364443188747755e-06, + "loss": 0.5699, + "step": 9773 + }, + { + "epoch": 0.29, + "learning_rate": 8.364091226935179e-06, + "loss": 0.579, + "step": 9774 + }, + { + "epoch": 0.29, + "learning_rate": 8.363739234663394e-06, + "loss": 0.8991, + "step": 9775 + }, + { + "epoch": 0.29, + "learning_rate": 8.36338721193559e-06, + "loss": 0.7727, + "step": 9776 + }, + { + "epoch": 0.29, + "learning_rate": 8.363035158754954e-06, + "loss": 0.6328, + "step": 9777 + }, + { + "epoch": 0.29, + "learning_rate": 8.362683075124669e-06, + "loss": 0.7053, + "step": 9778 + }, + { + "epoch": 0.29, + "learning_rate": 8.362330961047929e-06, + "loss": 0.8361, + "step": 9779 + }, + { + "epoch": 0.29, + "learning_rate": 8.361978816527918e-06, + "loss": 0.6039, + "step": 9780 + }, + { + "epoch": 0.29, + "learning_rate": 8.361626641567826e-06, + "loss": 0.9937, + "step": 9781 + }, + { + "epoch": 0.29, + "learning_rate": 8.361274436170844e-06, + "loss": 1.0069, + "step": 9782 + }, + { + "epoch": 0.29, + "learning_rate": 8.360922200340156e-06, + "loss": 0.7149, + "step": 9783 + }, + { + "epoch": 0.29, + "learning_rate": 8.360569934078953e-06, + "loss": 0.7746, + "step": 9784 + }, + { + "epoch": 0.29, + "learning_rate": 8.360217637390426e-06, + "loss": 0.6867, + "step": 9785 + }, + { + "epoch": 0.29, + "learning_rate": 8.359865310277764e-06, + "loss": 0.8452, + "step": 9786 + }, + { + "epoch": 0.29, + "learning_rate": 8.359512952744158e-06, + "loss": 0.785, + "step": 9787 + }, + { + "epoch": 0.29, + "learning_rate": 8.359160564792796e-06, + "loss": 0.9899, + "step": 9788 + }, + { + "epoch": 0.29, + "learning_rate": 8.35880814642687e-06, + "loss": 0.7722, + "step": 9789 + }, + { + "epoch": 0.29, + "learning_rate": 8.358455697649573e-06, + "loss": 0.8806, + "step": 9790 + }, + { + "epoch": 0.29, + "learning_rate": 8.35810321846409e-06, + "loss": 0.5417, + "step": 9791 + }, + { + "epoch": 0.29, + "learning_rate": 8.35775070887362e-06, + "loss": 0.7497, + "step": 9792 + }, + { + "epoch": 0.29, + "learning_rate": 8.35739816888135e-06, + "loss": 0.9007, + "step": 9793 + }, + { + "epoch": 0.29, + "learning_rate": 8.357045598490471e-06, + "loss": 0.8278, + "step": 9794 + }, + { + "epoch": 0.29, + "learning_rate": 8.35669299770418e-06, + "loss": 0.711, + "step": 9795 + }, + { + "epoch": 0.29, + "learning_rate": 8.356340366525665e-06, + "loss": 0.9833, + "step": 9796 + }, + { + "epoch": 0.29, + "learning_rate": 8.355987704958121e-06, + "loss": 0.8312, + "step": 9797 + }, + { + "epoch": 0.29, + "learning_rate": 8.355635013004742e-06, + "loss": 0.8579, + "step": 9798 + }, + { + "epoch": 0.29, + "learning_rate": 8.355282290668717e-06, + "loss": 0.7732, + "step": 9799 + }, + { + "epoch": 0.29, + "learning_rate": 8.354929537953245e-06, + "loss": 0.7388, + "step": 9800 + }, + { + "epoch": 0.29, + "learning_rate": 8.354576754861518e-06, + "loss": 0.7042, + "step": 9801 + }, + { + "epoch": 0.29, + "learning_rate": 8.354223941396729e-06, + "loss": 0.7317, + "step": 9802 + }, + { + "epoch": 0.29, + "learning_rate": 8.353871097562072e-06, + "loss": 0.5586, + "step": 9803 + }, + { + "epoch": 0.29, + "learning_rate": 8.353518223360743e-06, + "loss": 1.1414, + "step": 9804 + }, + { + "epoch": 0.29, + "learning_rate": 8.35316531879594e-06, + "loss": 0.8426, + "step": 9805 + }, + { + "epoch": 0.29, + "learning_rate": 8.352812383870851e-06, + "loss": 0.7768, + "step": 9806 + }, + { + "epoch": 0.29, + "learning_rate": 8.352459418588678e-06, + "loss": 0.8634, + "step": 9807 + }, + { + "epoch": 0.29, + "learning_rate": 8.352106422952615e-06, + "loss": 0.7051, + "step": 9808 + }, + { + "epoch": 0.29, + "learning_rate": 8.351753396965857e-06, + "loss": 0.6541, + "step": 9809 + }, + { + "epoch": 0.29, + "learning_rate": 8.351400340631599e-06, + "loss": 0.7612, + "step": 9810 + }, + { + "epoch": 0.29, + "learning_rate": 8.351047253953041e-06, + "loss": 0.7375, + "step": 9811 + }, + { + "epoch": 0.29, + "learning_rate": 8.350694136933379e-06, + "loss": 0.8713, + "step": 9812 + }, + { + "epoch": 0.29, + "learning_rate": 8.350340989575809e-06, + "loss": 0.9508, + "step": 9813 + }, + { + "epoch": 0.29, + "learning_rate": 8.34998781188353e-06, + "loss": 0.8576, + "step": 9814 + }, + { + "epoch": 0.29, + "learning_rate": 8.34963460385974e-06, + "loss": 0.9429, + "step": 9815 + }, + { + "epoch": 0.29, + "learning_rate": 8.349281365507634e-06, + "loss": 0.534, + "step": 9816 + }, + { + "epoch": 0.29, + "learning_rate": 8.348928096830413e-06, + "loss": 0.8993, + "step": 9817 + }, + { + "epoch": 0.29, + "learning_rate": 8.348574797831276e-06, + "loss": 0.7959, + "step": 9818 + }, + { + "epoch": 0.29, + "learning_rate": 8.348221468513418e-06, + "loss": 0.9782, + "step": 9819 + }, + { + "epoch": 0.29, + "learning_rate": 8.347868108880044e-06, + "loss": 0.656, + "step": 9820 + }, + { + "epoch": 0.29, + "learning_rate": 8.347514718934348e-06, + "loss": 1.0285, + "step": 9821 + }, + { + "epoch": 0.29, + "learning_rate": 8.347161298679533e-06, + "loss": 0.7742, + "step": 9822 + }, + { + "epoch": 0.29, + "learning_rate": 8.346807848118798e-06, + "loss": 0.7216, + "step": 9823 + }, + { + "epoch": 0.29, + "learning_rate": 8.346454367255342e-06, + "loss": 0.7156, + "step": 9824 + }, + { + "epoch": 0.29, + "learning_rate": 8.346100856092367e-06, + "loss": 0.8234, + "step": 9825 + }, + { + "epoch": 0.29, + "learning_rate": 8.345747314633072e-06, + "loss": 0.7038, + "step": 9826 + }, + { + "epoch": 0.29, + "learning_rate": 8.345393742880662e-06, + "loss": 0.9782, + "step": 9827 + }, + { + "epoch": 0.29, + "learning_rate": 8.345040140838335e-06, + "loss": 0.4201, + "step": 9828 + }, + { + "epoch": 0.29, + "learning_rate": 8.344686508509293e-06, + "loss": 0.6076, + "step": 9829 + }, + { + "epoch": 0.29, + "learning_rate": 8.344332845896737e-06, + "loss": 0.8145, + "step": 9830 + }, + { + "epoch": 0.29, + "learning_rate": 8.343979153003872e-06, + "loss": 0.6051, + "step": 9831 + }, + { + "epoch": 0.29, + "learning_rate": 8.343625429833897e-06, + "loss": 0.5264, + "step": 9832 + }, + { + "epoch": 0.29, + "learning_rate": 8.343271676390018e-06, + "loss": 0.6963, + "step": 9833 + }, + { + "epoch": 0.29, + "learning_rate": 8.342917892675435e-06, + "loss": 0.5964, + "step": 9834 + }, + { + "epoch": 0.29, + "learning_rate": 8.342564078693352e-06, + "loss": 0.8664, + "step": 9835 + }, + { + "epoch": 0.29, + "learning_rate": 8.342210234446975e-06, + "loss": 0.857, + "step": 9836 + }, + { + "epoch": 0.29, + "learning_rate": 8.341856359939504e-06, + "loss": 0.8913, + "step": 9837 + }, + { + "epoch": 0.29, + "learning_rate": 8.341502455174146e-06, + "loss": 0.6273, + "step": 9838 + }, + { + "epoch": 0.29, + "learning_rate": 8.341148520154105e-06, + "loss": 0.7563, + "step": 9839 + }, + { + "epoch": 0.29, + "learning_rate": 8.340794554882583e-06, + "loss": 0.6967, + "step": 9840 + }, + { + "epoch": 0.29, + "learning_rate": 8.340440559362788e-06, + "loss": 0.8749, + "step": 9841 + }, + { + "epoch": 0.29, + "learning_rate": 8.340086533597924e-06, + "loss": 0.7299, + "step": 9842 + }, + { + "epoch": 0.29, + "learning_rate": 8.339732477591196e-06, + "loss": 0.8235, + "step": 9843 + }, + { + "epoch": 0.29, + "learning_rate": 8.33937839134581e-06, + "loss": 0.7536, + "step": 9844 + }, + { + "epoch": 0.29, + "learning_rate": 8.339024274864971e-06, + "loss": 0.7486, + "step": 9845 + }, + { + "epoch": 0.29, + "learning_rate": 8.338670128151887e-06, + "loss": 0.8635, + "step": 9846 + }, + { + "epoch": 0.29, + "learning_rate": 8.338315951209764e-06, + "loss": 0.8497, + "step": 9847 + }, + { + "epoch": 0.29, + "learning_rate": 8.337961744041808e-06, + "loss": 0.5954, + "step": 9848 + }, + { + "epoch": 0.29, + "learning_rate": 8.337607506651228e-06, + "loss": 0.8563, + "step": 9849 + }, + { + "epoch": 0.29, + "learning_rate": 8.337253239041228e-06, + "loss": 0.7476, + "step": 9850 + }, + { + "epoch": 0.29, + "learning_rate": 8.33689894121502e-06, + "loss": 0.8658, + "step": 9851 + }, + { + "epoch": 0.29, + "learning_rate": 8.336544613175806e-06, + "loss": 0.692, + "step": 9852 + }, + { + "epoch": 0.29, + "learning_rate": 8.3361902549268e-06, + "loss": 0.7126, + "step": 9853 + }, + { + "epoch": 0.29, + "learning_rate": 8.335835866471206e-06, + "loss": 0.8314, + "step": 9854 + }, + { + "epoch": 0.29, + "learning_rate": 8.335481447812236e-06, + "loss": 0.8456, + "step": 9855 + }, + { + "epoch": 0.29, + "learning_rate": 8.335126998953097e-06, + "loss": 0.8172, + "step": 9856 + }, + { + "epoch": 0.29, + "learning_rate": 8.334772519897002e-06, + "loss": 0.6219, + "step": 9857 + }, + { + "epoch": 0.29, + "learning_rate": 8.334418010647157e-06, + "loss": 0.9294, + "step": 9858 + }, + { + "epoch": 0.29, + "learning_rate": 8.334063471206769e-06, + "loss": 0.6911, + "step": 9859 + }, + { + "epoch": 0.29, + "learning_rate": 8.333708901579053e-06, + "loss": 0.8253, + "step": 9860 + }, + { + "epoch": 0.29, + "learning_rate": 8.333354301767219e-06, + "loss": 0.8027, + "step": 9861 + }, + { + "epoch": 0.29, + "learning_rate": 8.332999671774475e-06, + "loss": 0.502, + "step": 9862 + }, + { + "epoch": 0.29, + "learning_rate": 8.332645011604033e-06, + "loss": 0.9679, + "step": 9863 + }, + { + "epoch": 0.29, + "learning_rate": 8.332290321259106e-06, + "loss": 0.6311, + "step": 9864 + }, + { + "epoch": 0.29, + "learning_rate": 8.331935600742901e-06, + "loss": 0.8149, + "step": 9865 + }, + { + "epoch": 0.29, + "learning_rate": 8.331580850058636e-06, + "loss": 0.7959, + "step": 9866 + }, + { + "epoch": 0.29, + "learning_rate": 8.331226069209517e-06, + "loss": 0.7364, + "step": 9867 + }, + { + "epoch": 0.29, + "learning_rate": 8.33087125819876e-06, + "loss": 0.6656, + "step": 9868 + }, + { + "epoch": 0.29, + "learning_rate": 8.330516417029577e-06, + "loss": 0.5921, + "step": 9869 + }, + { + "epoch": 0.29, + "learning_rate": 8.33016154570518e-06, + "loss": 1.028, + "step": 9870 + }, + { + "epoch": 0.29, + "learning_rate": 8.329806644228781e-06, + "loss": 0.7, + "step": 9871 + }, + { + "epoch": 0.29, + "learning_rate": 8.329451712603595e-06, + "loss": 0.7342, + "step": 9872 + }, + { + "epoch": 0.29, + "learning_rate": 8.329096750832836e-06, + "loss": 0.8354, + "step": 9873 + }, + { + "epoch": 0.29, + "learning_rate": 8.328741758919716e-06, + "loss": 0.8619, + "step": 9874 + }, + { + "epoch": 0.29, + "learning_rate": 8.32838673686745e-06, + "loss": 0.6871, + "step": 9875 + }, + { + "epoch": 0.29, + "learning_rate": 8.328031684679254e-06, + "loss": 0.6444, + "step": 9876 + }, + { + "epoch": 0.29, + "learning_rate": 8.327676602358342e-06, + "loss": 0.723, + "step": 9877 + }, + { + "epoch": 0.29, + "learning_rate": 8.327321489907929e-06, + "loss": 0.6947, + "step": 9878 + }, + { + "epoch": 0.29, + "learning_rate": 8.326966347331227e-06, + "loss": 0.7591, + "step": 9879 + }, + { + "epoch": 0.29, + "learning_rate": 8.326611174631456e-06, + "loss": 0.8115, + "step": 9880 + }, + { + "epoch": 0.29, + "learning_rate": 8.326255971811831e-06, + "loss": 0.7211, + "step": 9881 + }, + { + "epoch": 0.29, + "learning_rate": 8.325900738875565e-06, + "loss": 0.9526, + "step": 9882 + }, + { + "epoch": 0.29, + "learning_rate": 8.32554547582588e-06, + "loss": 0.4626, + "step": 9883 + }, + { + "epoch": 0.29, + "learning_rate": 8.325190182665986e-06, + "loss": 0.7337, + "step": 9884 + }, + { + "epoch": 0.29, + "learning_rate": 8.324834859399103e-06, + "loss": 0.7408, + "step": 9885 + }, + { + "epoch": 0.29, + "learning_rate": 8.324479506028449e-06, + "loss": 0.7383, + "step": 9886 + }, + { + "epoch": 0.29, + "learning_rate": 8.324124122557242e-06, + "loss": 0.7054, + "step": 9887 + }, + { + "epoch": 0.29, + "learning_rate": 8.323768708988697e-06, + "loss": 0.7315, + "step": 9888 + }, + { + "epoch": 0.29, + "learning_rate": 8.323413265326033e-06, + "loss": 0.9029, + "step": 9889 + }, + { + "epoch": 0.29, + "learning_rate": 8.32305779157247e-06, + "loss": 0.9114, + "step": 9890 + }, + { + "epoch": 0.29, + "learning_rate": 8.322702287731224e-06, + "loss": 0.7019, + "step": 9891 + }, + { + "epoch": 0.29, + "learning_rate": 8.322346753805515e-06, + "loss": 0.9092, + "step": 9892 + }, + { + "epoch": 0.29, + "learning_rate": 8.321991189798563e-06, + "loss": 0.8289, + "step": 9893 + }, + { + "epoch": 0.29, + "learning_rate": 8.321635595713587e-06, + "loss": 0.9199, + "step": 9894 + }, + { + "epoch": 0.29, + "learning_rate": 8.321279971553804e-06, + "loss": 0.6687, + "step": 9895 + }, + { + "epoch": 0.29, + "learning_rate": 8.320924317322438e-06, + "loss": 0.5672, + "step": 9896 + }, + { + "epoch": 0.29, + "learning_rate": 8.320568633022706e-06, + "loss": 0.7209, + "step": 9897 + }, + { + "epoch": 0.29, + "learning_rate": 8.32021291865783e-06, + "loss": 0.6613, + "step": 9898 + }, + { + "epoch": 0.29, + "learning_rate": 8.31985717423103e-06, + "loss": 0.802, + "step": 9899 + }, + { + "epoch": 0.29, + "learning_rate": 8.319501399745527e-06, + "loss": 0.4533, + "step": 9900 + }, + { + "epoch": 0.29, + "learning_rate": 8.319145595204542e-06, + "loss": 1.0136, + "step": 9901 + }, + { + "epoch": 0.29, + "learning_rate": 8.3187897606113e-06, + "loss": 0.8029, + "step": 9902 + }, + { + "epoch": 0.29, + "learning_rate": 8.318433895969017e-06, + "loss": 1.0688, + "step": 9903 + }, + { + "epoch": 0.29, + "learning_rate": 8.318078001280918e-06, + "loss": 0.622, + "step": 9904 + }, + { + "epoch": 0.29, + "learning_rate": 8.317722076550225e-06, + "loss": 0.7794, + "step": 9905 + }, + { + "epoch": 0.29, + "learning_rate": 8.317366121780164e-06, + "loss": 0.5387, + "step": 9906 + }, + { + "epoch": 0.29, + "learning_rate": 8.317010136973951e-06, + "loss": 0.6842, + "step": 9907 + }, + { + "epoch": 0.29, + "learning_rate": 8.316654122134814e-06, + "loss": 0.7558, + "step": 9908 + }, + { + "epoch": 0.29, + "learning_rate": 8.316298077265976e-06, + "loss": 0.8818, + "step": 9909 + }, + { + "epoch": 0.29, + "learning_rate": 8.315942002370662e-06, + "loss": 0.5002, + "step": 9910 + }, + { + "epoch": 0.29, + "learning_rate": 8.315585897452092e-06, + "loss": 0.7002, + "step": 9911 + }, + { + "epoch": 0.29, + "learning_rate": 8.315229762513493e-06, + "loss": 0.7648, + "step": 9912 + }, + { + "epoch": 0.29, + "learning_rate": 8.314873597558088e-06, + "loss": 0.6342, + "step": 9913 + }, + { + "epoch": 0.29, + "learning_rate": 8.314517402589103e-06, + "loss": 0.7507, + "step": 9914 + }, + { + "epoch": 0.29, + "learning_rate": 8.314161177609764e-06, + "loss": 0.8923, + "step": 9915 + }, + { + "epoch": 0.29, + "learning_rate": 8.313804922623293e-06, + "loss": 0.8879, + "step": 9916 + }, + { + "epoch": 0.29, + "learning_rate": 8.31344863763292e-06, + "loss": 0.5876, + "step": 9917 + }, + { + "epoch": 0.29, + "learning_rate": 8.313092322641866e-06, + "loss": 0.7028, + "step": 9918 + }, + { + "epoch": 0.29, + "learning_rate": 8.31273597765336e-06, + "loss": 0.5328, + "step": 9919 + }, + { + "epoch": 0.29, + "learning_rate": 8.31237960267063e-06, + "loss": 0.6825, + "step": 9920 + }, + { + "epoch": 0.29, + "learning_rate": 8.3120231976969e-06, + "loss": 0.685, + "step": 9921 + }, + { + "epoch": 0.29, + "learning_rate": 8.311666762735397e-06, + "loss": 0.5117, + "step": 9922 + }, + { + "epoch": 0.29, + "learning_rate": 8.31131029778935e-06, + "loss": 0.8245, + "step": 9923 + }, + { + "epoch": 0.29, + "learning_rate": 8.310953802861984e-06, + "loss": 0.393, + "step": 9924 + }, + { + "epoch": 0.29, + "learning_rate": 8.31059727795653e-06, + "loss": 0.9214, + "step": 9925 + }, + { + "epoch": 0.29, + "learning_rate": 8.310240723076214e-06, + "loss": 0.8909, + "step": 9926 + }, + { + "epoch": 0.29, + "learning_rate": 8.309884138224265e-06, + "loss": 0.562, + "step": 9927 + }, + { + "epoch": 0.29, + "learning_rate": 8.309527523403911e-06, + "loss": 0.7674, + "step": 9928 + }, + { + "epoch": 0.29, + "learning_rate": 8.30917087861838e-06, + "loss": 0.4524, + "step": 9929 + }, + { + "epoch": 0.29, + "learning_rate": 8.308814203870902e-06, + "loss": 0.6284, + "step": 9930 + }, + { + "epoch": 0.29, + "learning_rate": 8.308457499164708e-06, + "loss": 0.6887, + "step": 9931 + }, + { + "epoch": 0.29, + "learning_rate": 8.308100764503028e-06, + "loss": 0.7443, + "step": 9932 + }, + { + "epoch": 0.29, + "learning_rate": 8.307743999889088e-06, + "loss": 0.522, + "step": 9933 + }, + { + "epoch": 0.29, + "learning_rate": 8.30738720532612e-06, + "loss": 0.6179, + "step": 9934 + }, + { + "epoch": 0.29, + "learning_rate": 8.307030380817359e-06, + "loss": 0.743, + "step": 9935 + }, + { + "epoch": 0.29, + "learning_rate": 8.306673526366029e-06, + "loss": 0.9238, + "step": 9936 + }, + { + "epoch": 0.29, + "learning_rate": 8.306316641975362e-06, + "loss": 0.8938, + "step": 9937 + }, + { + "epoch": 0.29, + "learning_rate": 8.305959727648594e-06, + "loss": 0.7074, + "step": 9938 + }, + { + "epoch": 0.29, + "learning_rate": 8.305602783388953e-06, + "loss": 0.5864, + "step": 9939 + }, + { + "epoch": 0.29, + "learning_rate": 8.305245809199671e-06, + "loss": 0.9724, + "step": 9940 + }, + { + "epoch": 0.29, + "learning_rate": 8.304888805083982e-06, + "loss": 0.9503, + "step": 9941 + }, + { + "epoch": 0.29, + "learning_rate": 8.304531771045116e-06, + "loss": 0.9355, + "step": 9942 + }, + { + "epoch": 0.29, + "learning_rate": 8.304174707086307e-06, + "loss": 0.5656, + "step": 9943 + }, + { + "epoch": 0.29, + "learning_rate": 8.303817613210788e-06, + "loss": 0.7255, + "step": 9944 + }, + { + "epoch": 0.29, + "learning_rate": 8.303460489421793e-06, + "loss": 1.2262, + "step": 9945 + }, + { + "epoch": 0.29, + "learning_rate": 8.303103335722554e-06, + "loss": 0.7721, + "step": 9946 + }, + { + "epoch": 0.29, + "learning_rate": 8.302746152116303e-06, + "loss": 0.9427, + "step": 9947 + }, + { + "epoch": 0.29, + "learning_rate": 8.302388938606278e-06, + "loss": 0.7666, + "step": 9948 + }, + { + "epoch": 0.29, + "learning_rate": 8.30203169519571e-06, + "loss": 0.6969, + "step": 9949 + }, + { + "epoch": 0.29, + "learning_rate": 8.301674421887835e-06, + "loss": 1.0022, + "step": 9950 + }, + { + "epoch": 0.29, + "learning_rate": 8.30131711868589e-06, + "loss": 0.7245, + "step": 9951 + }, + { + "epoch": 0.29, + "learning_rate": 8.300959785593106e-06, + "loss": 1.0976, + "step": 9952 + }, + { + "epoch": 0.29, + "learning_rate": 8.300602422612722e-06, + "loss": 0.9055, + "step": 9953 + }, + { + "epoch": 0.29, + "learning_rate": 8.30024502974797e-06, + "loss": 0.6766, + "step": 9954 + }, + { + "epoch": 0.29, + "learning_rate": 8.29988760700209e-06, + "loss": 0.8243, + "step": 9955 + }, + { + "epoch": 0.29, + "learning_rate": 8.299530154378315e-06, + "loss": 0.6872, + "step": 9956 + }, + { + "epoch": 0.29, + "learning_rate": 8.299172671879883e-06, + "loss": 0.7458, + "step": 9957 + }, + { + "epoch": 0.29, + "learning_rate": 8.298815159510028e-06, + "loss": 0.8688, + "step": 9958 + }, + { + "epoch": 0.29, + "learning_rate": 8.298457617271992e-06, + "loss": 0.6273, + "step": 9959 + }, + { + "epoch": 0.29, + "learning_rate": 8.298100045169007e-06, + "loss": 0.693, + "step": 9960 + }, + { + "epoch": 0.29, + "learning_rate": 8.297742443204315e-06, + "loss": 0.6872, + "step": 9961 + }, + { + "epoch": 0.29, + "learning_rate": 8.29738481138115e-06, + "loss": 0.5803, + "step": 9962 + }, + { + "epoch": 0.29, + "learning_rate": 8.297027149702754e-06, + "loss": 0.8736, + "step": 9963 + }, + { + "epoch": 0.29, + "learning_rate": 8.296669458172362e-06, + "loss": 0.796, + "step": 9964 + }, + { + "epoch": 0.29, + "learning_rate": 8.296311736793214e-06, + "loss": 0.8809, + "step": 9965 + }, + { + "epoch": 0.29, + "learning_rate": 8.295953985568548e-06, + "loss": 0.7777, + "step": 9966 + }, + { + "epoch": 0.29, + "learning_rate": 8.295596204501605e-06, + "loss": 0.733, + "step": 9967 + }, + { + "epoch": 0.29, + "learning_rate": 8.295238393595623e-06, + "loss": 0.7329, + "step": 9968 + }, + { + "epoch": 0.29, + "learning_rate": 8.294880552853844e-06, + "loss": 0.898, + "step": 9969 + }, + { + "epoch": 0.29, + "learning_rate": 8.294522682279503e-06, + "loss": 0.8792, + "step": 9970 + }, + { + "epoch": 0.29, + "learning_rate": 8.294164781875845e-06, + "loss": 0.6984, + "step": 9971 + }, + { + "epoch": 0.29, + "learning_rate": 8.293806851646107e-06, + "loss": 0.8219, + "step": 9972 + }, + { + "epoch": 0.29, + "learning_rate": 8.293448891593533e-06, + "loss": 0.6711, + "step": 9973 + }, + { + "epoch": 0.29, + "learning_rate": 8.293090901721361e-06, + "loss": 1.0206, + "step": 9974 + }, + { + "epoch": 0.29, + "learning_rate": 8.292732882032837e-06, + "loss": 0.7363, + "step": 9975 + }, + { + "epoch": 0.29, + "learning_rate": 8.292374832531195e-06, + "loss": 0.6841, + "step": 9976 + }, + { + "epoch": 0.29, + "learning_rate": 8.292016753219684e-06, + "loss": 0.9894, + "step": 9977 + }, + { + "epoch": 0.29, + "learning_rate": 8.291658644101543e-06, + "loss": 0.7304, + "step": 9978 + }, + { + "epoch": 0.29, + "learning_rate": 8.291300505180016e-06, + "loss": 0.8572, + "step": 9979 + }, + { + "epoch": 0.29, + "learning_rate": 8.290942336458345e-06, + "loss": 0.8204, + "step": 9980 + }, + { + "epoch": 0.29, + "learning_rate": 8.29058413793977e-06, + "loss": 1.0053, + "step": 9981 + }, + { + "epoch": 0.29, + "learning_rate": 8.290225909627538e-06, + "loss": 1.1232, + "step": 9982 + }, + { + "epoch": 0.29, + "learning_rate": 8.28986765152489e-06, + "loss": 0.6135, + "step": 9983 + }, + { + "epoch": 0.29, + "learning_rate": 8.289509363635073e-06, + "loss": 0.814, + "step": 9984 + }, + { + "epoch": 0.29, + "learning_rate": 8.289151045961329e-06, + "loss": 0.8589, + "step": 9985 + }, + { + "epoch": 0.29, + "learning_rate": 8.288792698506898e-06, + "loss": 0.6153, + "step": 9986 + }, + { + "epoch": 0.29, + "learning_rate": 8.288434321275033e-06, + "loss": 0.5409, + "step": 9987 + }, + { + "epoch": 0.29, + "learning_rate": 8.288075914268972e-06, + "loss": 0.5331, + "step": 9988 + }, + { + "epoch": 0.29, + "learning_rate": 8.287717477491963e-06, + "loss": 0.6007, + "step": 9989 + }, + { + "epoch": 0.29, + "learning_rate": 8.287359010947253e-06, + "loss": 0.9935, + "step": 9990 + }, + { + "epoch": 0.29, + "learning_rate": 8.287000514638083e-06, + "loss": 0.9882, + "step": 9991 + }, + { + "epoch": 0.29, + "learning_rate": 8.286641988567706e-06, + "loss": 0.6975, + "step": 9992 + }, + { + "epoch": 0.29, + "learning_rate": 8.286283432739359e-06, + "loss": 0.8101, + "step": 9993 + }, + { + "epoch": 0.29, + "learning_rate": 8.285924847156294e-06, + "loss": 0.6937, + "step": 9994 + }, + { + "epoch": 0.29, + "learning_rate": 8.285566231821758e-06, + "loss": 0.5305, + "step": 9995 + }, + { + "epoch": 0.29, + "learning_rate": 8.285207586738997e-06, + "loss": 0.7195, + "step": 9996 + }, + { + "epoch": 0.29, + "learning_rate": 8.284848911911258e-06, + "loss": 0.6205, + "step": 9997 + }, + { + "epoch": 0.29, + "learning_rate": 8.28449020734179e-06, + "loss": 0.8952, + "step": 9998 + }, + { + "epoch": 0.29, + "learning_rate": 8.284131473033836e-06, + "loss": 0.8186, + "step": 9999 + }, + { + "epoch": 0.29, + "learning_rate": 8.28377270899065e-06, + "loss": 0.5407, + "step": 10000 + }, + { + "epoch": 0.29, + "learning_rate": 8.283413915215477e-06, + "loss": 0.7964, + "step": 10001 + }, + { + "epoch": 0.29, + "learning_rate": 8.283055091711566e-06, + "loss": 0.7954, + "step": 10002 + }, + { + "epoch": 0.29, + "learning_rate": 8.282696238482165e-06, + "loss": 0.7923, + "step": 10003 + }, + { + "epoch": 0.29, + "learning_rate": 8.282337355530528e-06, + "loss": 0.9181, + "step": 10004 + }, + { + "epoch": 0.29, + "learning_rate": 8.281978442859899e-06, + "loss": 0.6978, + "step": 10005 + }, + { + "epoch": 0.29, + "learning_rate": 8.281619500473531e-06, + "loss": 0.857, + "step": 10006 + }, + { + "epoch": 0.29, + "learning_rate": 8.281260528374669e-06, + "loss": 0.5884, + "step": 10007 + }, + { + "epoch": 0.29, + "learning_rate": 8.280901526566568e-06, + "loss": 0.9332, + "step": 10008 + }, + { + "epoch": 0.29, + "learning_rate": 8.280542495052476e-06, + "loss": 0.7939, + "step": 10009 + }, + { + "epoch": 0.29, + "learning_rate": 8.280183433835648e-06, + "loss": 0.8759, + "step": 10010 + }, + { + "epoch": 0.29, + "learning_rate": 8.279824342919331e-06, + "loss": 0.6986, + "step": 10011 + }, + { + "epoch": 0.29, + "learning_rate": 8.279465222306775e-06, + "loss": 0.6639, + "step": 10012 + }, + { + "epoch": 0.29, + "learning_rate": 8.279106072001236e-06, + "loss": 0.7673, + "step": 10013 + }, + { + "epoch": 0.29, + "learning_rate": 8.278746892005963e-06, + "loss": 0.9329, + "step": 10014 + }, + { + "epoch": 0.29, + "learning_rate": 8.278387682324209e-06, + "loss": 0.8727, + "step": 10015 + }, + { + "epoch": 0.29, + "learning_rate": 8.278028442959225e-06, + "loss": 1.0891, + "step": 10016 + }, + { + "epoch": 0.29, + "learning_rate": 8.277669173914264e-06, + "loss": 0.8336, + "step": 10017 + }, + { + "epoch": 0.29, + "learning_rate": 8.27730987519258e-06, + "loss": 0.4676, + "step": 10018 + }, + { + "epoch": 0.29, + "learning_rate": 8.276950546797427e-06, + "loss": 0.8257, + "step": 10019 + }, + { + "epoch": 0.29, + "learning_rate": 8.276591188732058e-06, + "loss": 0.6354, + "step": 10020 + }, + { + "epoch": 0.29, + "learning_rate": 8.276231800999724e-06, + "loss": 0.6191, + "step": 10021 + }, + { + "epoch": 0.29, + "learning_rate": 8.27587238360368e-06, + "loss": 0.8083, + "step": 10022 + }, + { + "epoch": 0.29, + "learning_rate": 8.275512936547183e-06, + "loss": 0.6497, + "step": 10023 + }, + { + "epoch": 0.29, + "learning_rate": 8.275153459833484e-06, + "loss": 0.8324, + "step": 10024 + }, + { + "epoch": 0.29, + "learning_rate": 8.274793953465839e-06, + "loss": 0.6605, + "step": 10025 + }, + { + "epoch": 0.29, + "learning_rate": 8.274434417447506e-06, + "loss": 0.912, + "step": 10026 + }, + { + "epoch": 0.29, + "learning_rate": 8.274074851781736e-06, + "loss": 0.7507, + "step": 10027 + }, + { + "epoch": 0.29, + "learning_rate": 8.273715256471784e-06, + "loss": 0.9309, + "step": 10028 + }, + { + "epoch": 0.29, + "learning_rate": 8.273355631520913e-06, + "loss": 0.713, + "step": 10029 + }, + { + "epoch": 0.29, + "learning_rate": 8.27299597693237e-06, + "loss": 0.8448, + "step": 10030 + }, + { + "epoch": 0.29, + "learning_rate": 8.272636292709417e-06, + "loss": 0.8204, + "step": 10031 + }, + { + "epoch": 0.29, + "learning_rate": 8.27227657885531e-06, + "loss": 0.7911, + "step": 10032 + }, + { + "epoch": 0.29, + "learning_rate": 8.271916835373307e-06, + "loss": 0.567, + "step": 10033 + }, + { + "epoch": 0.29, + "learning_rate": 8.27155706226666e-06, + "loss": 0.9631, + "step": 10034 + }, + { + "epoch": 0.29, + "learning_rate": 8.271197259538632e-06, + "loss": 0.7908, + "step": 10035 + }, + { + "epoch": 0.29, + "learning_rate": 8.270837427192478e-06, + "loss": 0.4618, + "step": 10036 + }, + { + "epoch": 0.29, + "learning_rate": 8.270477565231456e-06, + "loss": 0.6307, + "step": 10037 + }, + { + "epoch": 0.29, + "learning_rate": 8.270117673658824e-06, + "loss": 0.8426, + "step": 10038 + }, + { + "epoch": 0.29, + "learning_rate": 8.269757752477844e-06, + "loss": 0.9142, + "step": 10039 + }, + { + "epoch": 0.29, + "learning_rate": 8.269397801691773e-06, + "loss": 0.3726, + "step": 10040 + }, + { + "epoch": 0.29, + "learning_rate": 8.269037821303865e-06, + "loss": 0.8705, + "step": 10041 + }, + { + "epoch": 0.3, + "learning_rate": 8.268677811317388e-06, + "loss": 0.6981, + "step": 10042 + }, + { + "epoch": 0.3, + "learning_rate": 8.268317771735594e-06, + "loss": 0.6079, + "step": 10043 + }, + { + "epoch": 0.3, + "learning_rate": 8.26795770256175e-06, + "loss": 0.7877, + "step": 10044 + }, + { + "epoch": 0.3, + "learning_rate": 8.267597603799107e-06, + "loss": 0.8921, + "step": 10045 + }, + { + "epoch": 0.3, + "learning_rate": 8.267237475450934e-06, + "loss": 0.8642, + "step": 10046 + }, + { + "epoch": 0.3, + "learning_rate": 8.266877317520488e-06, + "loss": 0.7424, + "step": 10047 + }, + { + "epoch": 0.3, + "learning_rate": 8.266517130011029e-06, + "loss": 0.7115, + "step": 10048 + }, + { + "epoch": 0.3, + "learning_rate": 8.266156912925822e-06, + "loss": 0.7507, + "step": 10049 + }, + { + "epoch": 0.3, + "learning_rate": 8.265796666268124e-06, + "loss": 0.6666, + "step": 10050 + }, + { + "epoch": 0.3, + "learning_rate": 8.2654363900412e-06, + "loss": 0.9473, + "step": 10051 + }, + { + "epoch": 0.3, + "learning_rate": 8.26507608424831e-06, + "loss": 0.8919, + "step": 10052 + }, + { + "epoch": 0.3, + "learning_rate": 8.264715748892718e-06, + "loss": 0.8303, + "step": 10053 + }, + { + "epoch": 0.3, + "learning_rate": 8.264355383977684e-06, + "loss": 0.9134, + "step": 10054 + }, + { + "epoch": 0.3, + "learning_rate": 8.263994989506474e-06, + "loss": 0.571, + "step": 10055 + }, + { + "epoch": 0.3, + "learning_rate": 8.26363456548235e-06, + "loss": 0.8234, + "step": 10056 + }, + { + "epoch": 0.3, + "learning_rate": 8.263274111908573e-06, + "loss": 0.5897, + "step": 10057 + }, + { + "epoch": 0.3, + "learning_rate": 8.262913628788409e-06, + "loss": 0.727, + "step": 10058 + }, + { + "epoch": 0.3, + "learning_rate": 8.262553116125123e-06, + "loss": 0.8998, + "step": 10059 + }, + { + "epoch": 0.3, + "learning_rate": 8.262192573921976e-06, + "loss": 0.7568, + "step": 10060 + }, + { + "epoch": 0.3, + "learning_rate": 8.261832002182235e-06, + "loss": 1.0889, + "step": 10061 + }, + { + "epoch": 0.3, + "learning_rate": 8.261471400909162e-06, + "loss": 0.6692, + "step": 10062 + }, + { + "epoch": 0.3, + "learning_rate": 8.261110770106025e-06, + "loss": 0.645, + "step": 10063 + }, + { + "epoch": 0.3, + "learning_rate": 8.260750109776087e-06, + "loss": 0.7756, + "step": 10064 + }, + { + "epoch": 0.3, + "learning_rate": 8.260389419922616e-06, + "loss": 0.6938, + "step": 10065 + }, + { + "epoch": 0.3, + "learning_rate": 8.260028700548876e-06, + "loss": 0.7722, + "step": 10066 + }, + { + "epoch": 0.3, + "learning_rate": 8.259667951658131e-06, + "loss": 0.8387, + "step": 10067 + }, + { + "epoch": 0.3, + "learning_rate": 8.259307173253652e-06, + "loss": 0.8458, + "step": 10068 + }, + { + "epoch": 0.3, + "learning_rate": 8.2589463653387e-06, + "loss": 0.3762, + "step": 10069 + }, + { + "epoch": 0.3, + "learning_rate": 8.258585527916549e-06, + "loss": 0.7999, + "step": 10070 + }, + { + "epoch": 0.3, + "learning_rate": 8.258224660990459e-06, + "loss": 0.7425, + "step": 10071 + }, + { + "epoch": 0.3, + "learning_rate": 8.2578637645637e-06, + "loss": 0.7315, + "step": 10072 + }, + { + "epoch": 0.3, + "learning_rate": 8.257502838639543e-06, + "loss": 0.8994, + "step": 10073 + }, + { + "epoch": 0.3, + "learning_rate": 8.257141883221249e-06, + "loss": 1.0581, + "step": 10074 + }, + { + "epoch": 0.3, + "learning_rate": 8.256780898312094e-06, + "loss": 0.9259, + "step": 10075 + }, + { + "epoch": 0.3, + "learning_rate": 8.25641988391534e-06, + "loss": 0.71, + "step": 10076 + }, + { + "epoch": 0.3, + "learning_rate": 8.256058840034258e-06, + "loss": 0.8368, + "step": 10077 + }, + { + "epoch": 0.3, + "learning_rate": 8.255697766672117e-06, + "loss": 0.8963, + "step": 10078 + }, + { + "epoch": 0.3, + "learning_rate": 8.255336663832188e-06, + "loss": 0.9091, + "step": 10079 + }, + { + "epoch": 0.3, + "learning_rate": 8.254975531517738e-06, + "loss": 0.7667, + "step": 10080 + }, + { + "epoch": 0.3, + "learning_rate": 8.254614369732037e-06, + "loss": 0.7122, + "step": 10081 + }, + { + "epoch": 0.3, + "learning_rate": 8.254253178478356e-06, + "loss": 0.6563, + "step": 10082 + }, + { + "epoch": 0.3, + "learning_rate": 8.253891957759965e-06, + "loss": 0.7563, + "step": 10083 + }, + { + "epoch": 0.3, + "learning_rate": 8.253530707580135e-06, + "loss": 0.9314, + "step": 10084 + }, + { + "epoch": 0.3, + "learning_rate": 8.253169427942139e-06, + "loss": 0.6627, + "step": 10085 + }, + { + "epoch": 0.3, + "learning_rate": 8.252808118849241e-06, + "loss": 0.701, + "step": 10086 + }, + { + "epoch": 0.3, + "learning_rate": 8.25244678030472e-06, + "loss": 0.9248, + "step": 10087 + }, + { + "epoch": 0.3, + "learning_rate": 8.252085412311841e-06, + "loss": 0.7299, + "step": 10088 + }, + { + "epoch": 0.3, + "learning_rate": 8.251724014873883e-06, + "loss": 1.0703, + "step": 10089 + }, + { + "epoch": 0.3, + "learning_rate": 8.251362587994114e-06, + "loss": 0.6062, + "step": 10090 + }, + { + "epoch": 0.3, + "learning_rate": 8.251001131675807e-06, + "loss": 1.0726, + "step": 10091 + }, + { + "epoch": 0.3, + "learning_rate": 8.250639645922232e-06, + "loss": 0.7736, + "step": 10092 + }, + { + "epoch": 0.3, + "learning_rate": 8.250278130736667e-06, + "loss": 0.8286, + "step": 10093 + }, + { + "epoch": 0.3, + "learning_rate": 8.249916586122382e-06, + "loss": 0.8639, + "step": 10094 + }, + { + "epoch": 0.3, + "learning_rate": 8.249555012082652e-06, + "loss": 1.1222, + "step": 10095 + }, + { + "epoch": 0.3, + "learning_rate": 8.249193408620752e-06, + "loss": 0.6761, + "step": 10096 + }, + { + "epoch": 0.3, + "learning_rate": 8.248831775739952e-06, + "loss": 0.6556, + "step": 10097 + }, + { + "epoch": 0.3, + "learning_rate": 8.24847011344353e-06, + "loss": 0.5636, + "step": 10098 + }, + { + "epoch": 0.3, + "learning_rate": 8.248108421734757e-06, + "loss": 0.7156, + "step": 10099 + }, + { + "epoch": 0.3, + "learning_rate": 8.247746700616912e-06, + "loss": 0.7182, + "step": 10100 + }, + { + "epoch": 0.3, + "learning_rate": 8.247384950093267e-06, + "loss": 0.4576, + "step": 10101 + }, + { + "epoch": 0.3, + "learning_rate": 8.247023170167098e-06, + "loss": 0.7341, + "step": 10102 + }, + { + "epoch": 0.3, + "learning_rate": 8.246661360841682e-06, + "loss": 0.9235, + "step": 10103 + }, + { + "epoch": 0.3, + "learning_rate": 8.246299522120294e-06, + "loss": 0.5957, + "step": 10104 + }, + { + "epoch": 0.3, + "learning_rate": 8.24593765400621e-06, + "loss": 0.6105, + "step": 10105 + }, + { + "epoch": 0.3, + "learning_rate": 8.245575756502706e-06, + "loss": 0.7329, + "step": 10106 + }, + { + "epoch": 0.3, + "learning_rate": 8.245213829613058e-06, + "loss": 0.7439, + "step": 10107 + }, + { + "epoch": 0.3, + "learning_rate": 8.244851873340548e-06, + "loss": 0.7166, + "step": 10108 + }, + { + "epoch": 0.3, + "learning_rate": 8.244489887688447e-06, + "loss": 0.7627, + "step": 10109 + }, + { + "epoch": 0.3, + "learning_rate": 8.244127872660034e-06, + "loss": 0.7277, + "step": 10110 + }, + { + "epoch": 0.3, + "learning_rate": 8.24376582825859e-06, + "loss": 0.5618, + "step": 10111 + }, + { + "epoch": 0.3, + "learning_rate": 8.243403754487389e-06, + "loss": 0.8781, + "step": 10112 + }, + { + "epoch": 0.3, + "learning_rate": 8.243041651349713e-06, + "loss": 0.6283, + "step": 10113 + }, + { + "epoch": 0.3, + "learning_rate": 8.242679518848837e-06, + "loss": 0.5525, + "step": 10114 + }, + { + "epoch": 0.3, + "learning_rate": 8.242317356988042e-06, + "loss": 0.6316, + "step": 10115 + }, + { + "epoch": 0.3, + "learning_rate": 8.241955165770606e-06, + "loss": 0.683, + "step": 10116 + }, + { + "epoch": 0.3, + "learning_rate": 8.241592945199808e-06, + "loss": 0.7304, + "step": 10117 + }, + { + "epoch": 0.3, + "learning_rate": 8.24123069527893e-06, + "loss": 0.6081, + "step": 10118 + }, + { + "epoch": 0.3, + "learning_rate": 8.24086841601125e-06, + "loss": 0.6085, + "step": 10119 + }, + { + "epoch": 0.3, + "learning_rate": 8.240506107400047e-06, + "loss": 0.7107, + "step": 10120 + }, + { + "epoch": 0.3, + "learning_rate": 8.240143769448606e-06, + "loss": 0.6922, + "step": 10121 + }, + { + "epoch": 0.3, + "learning_rate": 8.239781402160201e-06, + "loss": 0.9201, + "step": 10122 + }, + { + "epoch": 0.3, + "learning_rate": 8.23941900553812e-06, + "loss": 0.6881, + "step": 10123 + }, + { + "epoch": 0.3, + "learning_rate": 8.239056579585638e-06, + "loss": 0.6861, + "step": 10124 + }, + { + "epoch": 0.3, + "learning_rate": 8.238694124306042e-06, + "loss": 1.0367, + "step": 10125 + }, + { + "epoch": 0.3, + "learning_rate": 8.238331639702608e-06, + "loss": 0.6386, + "step": 10126 + }, + { + "epoch": 0.3, + "learning_rate": 8.237969125778624e-06, + "loss": 0.8712, + "step": 10127 + }, + { + "epoch": 0.3, + "learning_rate": 8.237606582537367e-06, + "loss": 0.6186, + "step": 10128 + }, + { + "epoch": 0.3, + "learning_rate": 8.237244009982124e-06, + "loss": 0.7032, + "step": 10129 + }, + { + "epoch": 0.3, + "learning_rate": 8.236881408116175e-06, + "loss": 0.5784, + "step": 10130 + }, + { + "epoch": 0.3, + "learning_rate": 8.236518776942801e-06, + "loss": 0.9383, + "step": 10131 + }, + { + "epoch": 0.3, + "learning_rate": 8.236156116465291e-06, + "loss": 0.6312, + "step": 10132 + }, + { + "epoch": 0.3, + "learning_rate": 8.235793426686926e-06, + "loss": 1.059, + "step": 10133 + }, + { + "epoch": 0.3, + "learning_rate": 8.235430707610988e-06, + "loss": 0.7473, + "step": 10134 + }, + { + "epoch": 0.3, + "learning_rate": 8.235067959240764e-06, + "loss": 0.8929, + "step": 10135 + }, + { + "epoch": 0.3, + "learning_rate": 8.234705181579537e-06, + "loss": 0.6707, + "step": 10136 + }, + { + "epoch": 0.3, + "learning_rate": 8.23434237463059e-06, + "loss": 0.8593, + "step": 10137 + }, + { + "epoch": 0.3, + "learning_rate": 8.233979538397211e-06, + "loss": 0.711, + "step": 10138 + }, + { + "epoch": 0.3, + "learning_rate": 8.233616672882684e-06, + "loss": 0.8429, + "step": 10139 + }, + { + "epoch": 0.3, + "learning_rate": 8.233253778090296e-06, + "loss": 0.866, + "step": 10140 + }, + { + "epoch": 0.3, + "learning_rate": 8.232890854023327e-06, + "loss": 0.8855, + "step": 10141 + }, + { + "epoch": 0.3, + "learning_rate": 8.23252790068507e-06, + "loss": 0.9651, + "step": 10142 + }, + { + "epoch": 0.3, + "learning_rate": 8.232164918078809e-06, + "loss": 1.2412, + "step": 10143 + }, + { + "epoch": 0.3, + "learning_rate": 8.231801906207828e-06, + "loss": 0.6096, + "step": 10144 + }, + { + "epoch": 0.3, + "learning_rate": 8.231438865075416e-06, + "loss": 0.9139, + "step": 10145 + }, + { + "epoch": 0.3, + "learning_rate": 8.231075794684859e-06, + "loss": 0.8898, + "step": 10146 + }, + { + "epoch": 0.3, + "learning_rate": 8.230712695039446e-06, + "loss": 0.6439, + "step": 10147 + }, + { + "epoch": 0.3, + "learning_rate": 8.230349566142465e-06, + "loss": 0.6332, + "step": 10148 + }, + { + "epoch": 0.3, + "learning_rate": 8.229986407997201e-06, + "loss": 0.9234, + "step": 10149 + }, + { + "epoch": 0.3, + "learning_rate": 8.229623220606944e-06, + "loss": 0.7537, + "step": 10150 + }, + { + "epoch": 0.3, + "learning_rate": 8.229260003974982e-06, + "loss": 0.6693, + "step": 10151 + }, + { + "epoch": 0.3, + "learning_rate": 8.228896758104604e-06, + "loss": 0.6996, + "step": 10152 + }, + { + "epoch": 0.3, + "learning_rate": 8.228533482999096e-06, + "loss": 0.7563, + "step": 10153 + }, + { + "epoch": 0.3, + "learning_rate": 8.228170178661752e-06, + "loss": 0.6031, + "step": 10154 + }, + { + "epoch": 0.3, + "learning_rate": 8.227806845095858e-06, + "loss": 0.6151, + "step": 10155 + }, + { + "epoch": 0.3, + "learning_rate": 8.227443482304705e-06, + "loss": 0.6716, + "step": 10156 + }, + { + "epoch": 0.3, + "learning_rate": 8.227080090291584e-06, + "loss": 0.7906, + "step": 10157 + }, + { + "epoch": 0.3, + "learning_rate": 8.226716669059782e-06, + "loss": 0.9193, + "step": 10158 + }, + { + "epoch": 0.3, + "learning_rate": 8.226353218612593e-06, + "loss": 1.022, + "step": 10159 + }, + { + "epoch": 0.3, + "learning_rate": 8.225989738953305e-06, + "loss": 0.735, + "step": 10160 + }, + { + "epoch": 0.3, + "learning_rate": 8.225626230085212e-06, + "loss": 0.5017, + "step": 10161 + }, + { + "epoch": 0.3, + "learning_rate": 8.225262692011601e-06, + "loss": 0.5395, + "step": 10162 + }, + { + "epoch": 0.3, + "learning_rate": 8.22489912473577e-06, + "loss": 0.6967, + "step": 10163 + }, + { + "epoch": 0.3, + "learning_rate": 8.224535528261005e-06, + "loss": 0.7196, + "step": 10164 + }, + { + "epoch": 0.3, + "learning_rate": 8.224171902590598e-06, + "loss": 0.906, + "step": 10165 + }, + { + "epoch": 0.3, + "learning_rate": 8.223808247727846e-06, + "loss": 1.0059, + "step": 10166 + }, + { + "epoch": 0.3, + "learning_rate": 8.223444563676037e-06, + "loss": 0.5337, + "step": 10167 + }, + { + "epoch": 0.3, + "learning_rate": 8.223080850438468e-06, + "loss": 0.6717, + "step": 10168 + }, + { + "epoch": 0.3, + "learning_rate": 8.222717108018429e-06, + "loss": 0.5948, + "step": 10169 + }, + { + "epoch": 0.3, + "learning_rate": 8.222353336419214e-06, + "loss": 0.7965, + "step": 10170 + }, + { + "epoch": 0.3, + "learning_rate": 8.221989535644117e-06, + "loss": 0.967, + "step": 10171 + }, + { + "epoch": 0.3, + "learning_rate": 8.221625705696433e-06, + "loss": 0.6307, + "step": 10172 + }, + { + "epoch": 0.3, + "learning_rate": 8.221261846579453e-06, + "loss": 0.6214, + "step": 10173 + }, + { + "epoch": 0.3, + "learning_rate": 8.220897958296476e-06, + "loss": 0.7473, + "step": 10174 + }, + { + "epoch": 0.3, + "learning_rate": 8.220534040850793e-06, + "loss": 0.8763, + "step": 10175 + }, + { + "epoch": 0.3, + "learning_rate": 8.220170094245701e-06, + "loss": 0.5546, + "step": 10176 + }, + { + "epoch": 0.3, + "learning_rate": 8.219806118484495e-06, + "loss": 0.5234, + "step": 10177 + }, + { + "epoch": 0.3, + "learning_rate": 8.219442113570468e-06, + "loss": 0.8165, + "step": 10178 + }, + { + "epoch": 0.3, + "learning_rate": 8.21907807950692e-06, + "loss": 0.9188, + "step": 10179 + }, + { + "epoch": 0.3, + "learning_rate": 8.218714016297144e-06, + "loss": 0.8269, + "step": 10180 + }, + { + "epoch": 0.3, + "learning_rate": 8.218349923944438e-06, + "loss": 0.7529, + "step": 10181 + }, + { + "epoch": 0.3, + "learning_rate": 8.217985802452098e-06, + "loss": 0.5814, + "step": 10182 + }, + { + "epoch": 0.3, + "learning_rate": 8.21762165182342e-06, + "loss": 0.7389, + "step": 10183 + }, + { + "epoch": 0.3, + "learning_rate": 8.217257472061701e-06, + "loss": 0.9301, + "step": 10184 + }, + { + "epoch": 0.3, + "learning_rate": 8.21689326317024e-06, + "loss": 0.6774, + "step": 10185 + }, + { + "epoch": 0.3, + "learning_rate": 8.216529025152333e-06, + "loss": 0.6673, + "step": 10186 + }, + { + "epoch": 0.3, + "learning_rate": 8.21616475801128e-06, + "loss": 0.7179, + "step": 10187 + }, + { + "epoch": 0.3, + "learning_rate": 8.215800461750376e-06, + "loss": 0.7816, + "step": 10188 + }, + { + "epoch": 0.3, + "learning_rate": 8.215436136372922e-06, + "loss": 0.7331, + "step": 10189 + }, + { + "epoch": 0.3, + "learning_rate": 8.215071781882215e-06, + "loss": 0.9438, + "step": 10190 + }, + { + "epoch": 0.3, + "learning_rate": 8.214707398281557e-06, + "loss": 0.7802, + "step": 10191 + }, + { + "epoch": 0.3, + "learning_rate": 8.214342985574244e-06, + "loss": 0.842, + "step": 10192 + }, + { + "epoch": 0.3, + "learning_rate": 8.213978543763576e-06, + "loss": 0.6995, + "step": 10193 + }, + { + "epoch": 0.3, + "learning_rate": 8.213614072852854e-06, + "loss": 0.5868, + "step": 10194 + }, + { + "epoch": 0.3, + "learning_rate": 8.213249572845377e-06, + "loss": 0.692, + "step": 10195 + }, + { + "epoch": 0.3, + "learning_rate": 8.212885043744445e-06, + "loss": 1.0363, + "step": 10196 + }, + { + "epoch": 0.3, + "learning_rate": 8.21252048555336e-06, + "loss": 0.6134, + "step": 10197 + }, + { + "epoch": 0.3, + "learning_rate": 8.21215589827542e-06, + "loss": 0.854, + "step": 10198 + }, + { + "epoch": 0.3, + "learning_rate": 8.211791281913929e-06, + "loss": 0.7856, + "step": 10199 + }, + { + "epoch": 0.3, + "learning_rate": 8.211426636472186e-06, + "loss": 0.5389, + "step": 10200 + }, + { + "epoch": 0.3, + "learning_rate": 8.211061961953495e-06, + "loss": 0.6474, + "step": 10201 + }, + { + "epoch": 0.3, + "learning_rate": 8.210697258361157e-06, + "loss": 0.8235, + "step": 10202 + }, + { + "epoch": 0.3, + "learning_rate": 8.210332525698474e-06, + "loss": 0.8284, + "step": 10203 + }, + { + "epoch": 0.3, + "learning_rate": 8.209967763968747e-06, + "loss": 0.4781, + "step": 10204 + }, + { + "epoch": 0.3, + "learning_rate": 8.20960297317528e-06, + "loss": 0.8111, + "step": 10205 + }, + { + "epoch": 0.3, + "learning_rate": 8.209238153321374e-06, + "loss": 0.8269, + "step": 10206 + }, + { + "epoch": 0.3, + "learning_rate": 8.208873304410336e-06, + "loss": 0.703, + "step": 10207 + }, + { + "epoch": 0.3, + "learning_rate": 8.208508426445466e-06, + "loss": 0.7981, + "step": 10208 + }, + { + "epoch": 0.3, + "learning_rate": 8.20814351943007e-06, + "loss": 0.7677, + "step": 10209 + }, + { + "epoch": 0.3, + "learning_rate": 8.20777858336745e-06, + "loss": 0.6065, + "step": 10210 + }, + { + "epoch": 0.3, + "learning_rate": 8.20741361826091e-06, + "loss": 0.6003, + "step": 10211 + }, + { + "epoch": 0.3, + "learning_rate": 8.207048624113756e-06, + "loss": 0.8854, + "step": 10212 + }, + { + "epoch": 0.3, + "learning_rate": 8.206683600929292e-06, + "loss": 0.8585, + "step": 10213 + }, + { + "epoch": 0.3, + "learning_rate": 8.206318548710825e-06, + "loss": 1.3557, + "step": 10214 + }, + { + "epoch": 0.3, + "learning_rate": 8.205953467461656e-06, + "loss": 0.839, + "step": 10215 + }, + { + "epoch": 0.3, + "learning_rate": 8.205588357185095e-06, + "loss": 0.6179, + "step": 10216 + }, + { + "epoch": 0.3, + "learning_rate": 8.205223217884445e-06, + "loss": 0.8415, + "step": 10217 + }, + { + "epoch": 0.3, + "learning_rate": 8.204858049563013e-06, + "loss": 0.8444, + "step": 10218 + }, + { + "epoch": 0.3, + "learning_rate": 8.204492852224106e-06, + "loss": 0.662, + "step": 10219 + }, + { + "epoch": 0.3, + "learning_rate": 8.204127625871027e-06, + "loss": 0.7696, + "step": 10220 + }, + { + "epoch": 0.3, + "learning_rate": 8.203762370507089e-06, + "loss": 0.6203, + "step": 10221 + }, + { + "epoch": 0.3, + "learning_rate": 8.203397086135594e-06, + "loss": 0.7634, + "step": 10222 + }, + { + "epoch": 0.3, + "learning_rate": 8.203031772759851e-06, + "loss": 0.5709, + "step": 10223 + }, + { + "epoch": 0.3, + "learning_rate": 8.202666430383169e-06, + "loss": 0.7575, + "step": 10224 + }, + { + "epoch": 0.3, + "learning_rate": 8.20230105900885e-06, + "loss": 0.7449, + "step": 10225 + }, + { + "epoch": 0.3, + "learning_rate": 8.201935658640212e-06, + "loss": 0.8155, + "step": 10226 + }, + { + "epoch": 0.3, + "learning_rate": 8.201570229280556e-06, + "loss": 0.5894, + "step": 10227 + }, + { + "epoch": 0.3, + "learning_rate": 8.201204770933193e-06, + "loss": 1.0581, + "step": 10228 + }, + { + "epoch": 0.3, + "learning_rate": 8.200839283601431e-06, + "loss": 0.6556, + "step": 10229 + }, + { + "epoch": 0.3, + "learning_rate": 8.20047376728858e-06, + "loss": 0.7296, + "step": 10230 + }, + { + "epoch": 0.3, + "learning_rate": 8.200108221997952e-06, + "loss": 1.0421, + "step": 10231 + }, + { + "epoch": 0.3, + "learning_rate": 8.199742647732851e-06, + "loss": 0.8211, + "step": 10232 + }, + { + "epoch": 0.3, + "learning_rate": 8.19937704449659e-06, + "loss": 0.6158, + "step": 10233 + }, + { + "epoch": 0.3, + "learning_rate": 8.199011412292481e-06, + "loss": 0.725, + "step": 10234 + }, + { + "epoch": 0.3, + "learning_rate": 8.198645751123833e-06, + "loss": 0.963, + "step": 10235 + }, + { + "epoch": 0.3, + "learning_rate": 8.198280060993954e-06, + "loss": 1.1254, + "step": 10236 + }, + { + "epoch": 0.3, + "learning_rate": 8.197914341906162e-06, + "loss": 0.9627, + "step": 10237 + }, + { + "epoch": 0.3, + "learning_rate": 8.19754859386376e-06, + "loss": 0.4443, + "step": 10238 + }, + { + "epoch": 0.3, + "learning_rate": 8.197182816870066e-06, + "loss": 0.8146, + "step": 10239 + }, + { + "epoch": 0.3, + "learning_rate": 8.196817010928388e-06, + "loss": 0.8941, + "step": 10240 + }, + { + "epoch": 0.3, + "learning_rate": 8.19645117604204e-06, + "loss": 0.7842, + "step": 10241 + }, + { + "epoch": 0.3, + "learning_rate": 8.196085312214333e-06, + "loss": 1.0841, + "step": 10242 + }, + { + "epoch": 0.3, + "learning_rate": 8.195719419448583e-06, + "loss": 0.5953, + "step": 10243 + }, + { + "epoch": 0.3, + "learning_rate": 8.195353497748096e-06, + "loss": 0.9964, + "step": 10244 + }, + { + "epoch": 0.3, + "learning_rate": 8.194987547116194e-06, + "loss": 0.6318, + "step": 10245 + }, + { + "epoch": 0.3, + "learning_rate": 8.194621567556182e-06, + "loss": 0.7274, + "step": 10246 + }, + { + "epoch": 0.3, + "learning_rate": 8.19425555907138e-06, + "loss": 1.1889, + "step": 10247 + }, + { + "epoch": 0.3, + "learning_rate": 8.193889521665098e-06, + "loss": 0.7087, + "step": 10248 + }, + { + "epoch": 0.3, + "learning_rate": 8.193523455340652e-06, + "loss": 0.617, + "step": 10249 + }, + { + "epoch": 0.3, + "learning_rate": 8.193157360101355e-06, + "loss": 0.6661, + "step": 10250 + }, + { + "epoch": 0.3, + "learning_rate": 8.192791235950525e-06, + "loss": 0.5236, + "step": 10251 + }, + { + "epoch": 0.3, + "learning_rate": 8.192425082891472e-06, + "loss": 0.7006, + "step": 10252 + }, + { + "epoch": 0.3, + "learning_rate": 8.192058900927517e-06, + "loss": 0.6494, + "step": 10253 + }, + { + "epoch": 0.3, + "learning_rate": 8.19169269006197e-06, + "loss": 0.7152, + "step": 10254 + }, + { + "epoch": 0.3, + "learning_rate": 8.19132645029815e-06, + "loss": 0.5517, + "step": 10255 + }, + { + "epoch": 0.3, + "learning_rate": 8.190960181639372e-06, + "loss": 0.9125, + "step": 10256 + }, + { + "epoch": 0.3, + "learning_rate": 8.190593884088951e-06, + "loss": 0.7951, + "step": 10257 + }, + { + "epoch": 0.3, + "learning_rate": 8.190227557650208e-06, + "loss": 0.6674, + "step": 10258 + }, + { + "epoch": 0.3, + "learning_rate": 8.189861202326455e-06, + "loss": 0.6257, + "step": 10259 + }, + { + "epoch": 0.3, + "learning_rate": 8.189494818121011e-06, + "loss": 0.6454, + "step": 10260 + }, + { + "epoch": 0.3, + "learning_rate": 8.189128405037194e-06, + "loss": 0.6582, + "step": 10261 + }, + { + "epoch": 0.3, + "learning_rate": 8.18876196307832e-06, + "loss": 0.832, + "step": 10262 + }, + { + "epoch": 0.3, + "learning_rate": 8.188395492247708e-06, + "loss": 0.8468, + "step": 10263 + }, + { + "epoch": 0.3, + "learning_rate": 8.188028992548673e-06, + "loss": 0.7042, + "step": 10264 + }, + { + "epoch": 0.3, + "learning_rate": 8.187662463984539e-06, + "loss": 0.8279, + "step": 10265 + }, + { + "epoch": 0.3, + "learning_rate": 8.187295906558621e-06, + "loss": 0.739, + "step": 10266 + }, + { + "epoch": 0.3, + "learning_rate": 8.186929320274239e-06, + "loss": 0.7432, + "step": 10267 + }, + { + "epoch": 0.3, + "learning_rate": 8.186562705134712e-06, + "loss": 0.8898, + "step": 10268 + }, + { + "epoch": 0.3, + "learning_rate": 8.186196061143357e-06, + "loss": 0.6601, + "step": 10269 + }, + { + "epoch": 0.3, + "learning_rate": 8.185829388303496e-06, + "loss": 0.6634, + "step": 10270 + }, + { + "epoch": 0.3, + "learning_rate": 8.18546268661845e-06, + "loss": 0.5812, + "step": 10271 + }, + { + "epoch": 0.3, + "learning_rate": 8.18509595609154e-06, + "loss": 0.6535, + "step": 10272 + }, + { + "epoch": 0.3, + "learning_rate": 8.184729196726083e-06, + "loss": 0.7789, + "step": 10273 + }, + { + "epoch": 0.3, + "learning_rate": 8.184362408525398e-06, + "loss": 0.8707, + "step": 10274 + }, + { + "epoch": 0.3, + "learning_rate": 8.183995591492812e-06, + "loss": 0.7928, + "step": 10275 + }, + { + "epoch": 0.3, + "learning_rate": 8.183628745631644e-06, + "loss": 0.9359, + "step": 10276 + }, + { + "epoch": 0.3, + "learning_rate": 8.183261870945214e-06, + "loss": 0.7916, + "step": 10277 + }, + { + "epoch": 0.3, + "learning_rate": 8.182894967436844e-06, + "loss": 0.6525, + "step": 10278 + }, + { + "epoch": 0.3, + "learning_rate": 8.182528035109856e-06, + "loss": 0.7159, + "step": 10279 + }, + { + "epoch": 0.3, + "learning_rate": 8.182161073967573e-06, + "loss": 0.7113, + "step": 10280 + }, + { + "epoch": 0.3, + "learning_rate": 8.181794084013319e-06, + "loss": 0.6353, + "step": 10281 + }, + { + "epoch": 0.3, + "learning_rate": 8.181427065250416e-06, + "loss": 0.819, + "step": 10282 + }, + { + "epoch": 0.3, + "learning_rate": 8.181060017682185e-06, + "loss": 0.7465, + "step": 10283 + }, + { + "epoch": 0.3, + "learning_rate": 8.18069294131195e-06, + "loss": 0.5177, + "step": 10284 + }, + { + "epoch": 0.3, + "learning_rate": 8.180325836143035e-06, + "loss": 0.6923, + "step": 10285 + }, + { + "epoch": 0.3, + "learning_rate": 8.179958702178765e-06, + "loss": 0.5771, + "step": 10286 + }, + { + "epoch": 0.3, + "learning_rate": 8.179591539422464e-06, + "loss": 0.8601, + "step": 10287 + }, + { + "epoch": 0.3, + "learning_rate": 8.179224347877455e-06, + "loss": 0.7874, + "step": 10288 + }, + { + "epoch": 0.3, + "learning_rate": 8.178857127547061e-06, + "loss": 0.8813, + "step": 10289 + }, + { + "epoch": 0.3, + "learning_rate": 8.178489878434613e-06, + "loss": 0.8266, + "step": 10290 + }, + { + "epoch": 0.3, + "learning_rate": 8.17812260054343e-06, + "loss": 0.6384, + "step": 10291 + }, + { + "epoch": 0.3, + "learning_rate": 8.17775529387684e-06, + "loss": 0.8199, + "step": 10292 + }, + { + "epoch": 0.3, + "learning_rate": 8.177387958438168e-06, + "loss": 0.5616, + "step": 10293 + }, + { + "epoch": 0.3, + "learning_rate": 8.177020594230741e-06, + "loss": 0.7334, + "step": 10294 + }, + { + "epoch": 0.3, + "learning_rate": 8.176653201257883e-06, + "loss": 0.7608, + "step": 10295 + }, + { + "epoch": 0.3, + "learning_rate": 8.176285779522923e-06, + "loss": 0.8582, + "step": 10296 + }, + { + "epoch": 0.3, + "learning_rate": 8.175918329029186e-06, + "loss": 0.9926, + "step": 10297 + }, + { + "epoch": 0.3, + "learning_rate": 8.17555084978e-06, + "loss": 0.8397, + "step": 10298 + }, + { + "epoch": 0.3, + "learning_rate": 8.175183341778693e-06, + "loss": 0.6816, + "step": 10299 + }, + { + "epoch": 0.3, + "learning_rate": 8.174815805028591e-06, + "loss": 0.7852, + "step": 10300 + }, + { + "epoch": 0.3, + "learning_rate": 8.174448239533022e-06, + "loss": 0.7117, + "step": 10301 + }, + { + "epoch": 0.3, + "learning_rate": 8.174080645295312e-06, + "loss": 0.8855, + "step": 10302 + }, + { + "epoch": 0.3, + "learning_rate": 8.173713022318793e-06, + "loss": 0.844, + "step": 10303 + }, + { + "epoch": 0.3, + "learning_rate": 8.173345370606793e-06, + "loss": 0.9262, + "step": 10304 + }, + { + "epoch": 0.3, + "learning_rate": 8.172977690162638e-06, + "loss": 0.6863, + "step": 10305 + }, + { + "epoch": 0.3, + "learning_rate": 8.17260998098966e-06, + "loss": 0.7968, + "step": 10306 + }, + { + "epoch": 0.3, + "learning_rate": 8.172242243091186e-06, + "loss": 0.6179, + "step": 10307 + }, + { + "epoch": 0.3, + "learning_rate": 8.171874476470547e-06, + "loss": 0.5965, + "step": 10308 + }, + { + "epoch": 0.3, + "learning_rate": 8.171506681131075e-06, + "loss": 0.7743, + "step": 10309 + }, + { + "epoch": 0.3, + "learning_rate": 8.171138857076094e-06, + "loss": 0.5764, + "step": 10310 + }, + { + "epoch": 0.3, + "learning_rate": 8.17077100430894e-06, + "loss": 0.5989, + "step": 10311 + }, + { + "epoch": 0.3, + "learning_rate": 8.170403122832942e-06, + "loss": 0.6046, + "step": 10312 + }, + { + "epoch": 0.3, + "learning_rate": 8.170035212651428e-06, + "loss": 0.8435, + "step": 10313 + }, + { + "epoch": 0.3, + "learning_rate": 8.169667273767732e-06, + "loss": 0.5369, + "step": 10314 + }, + { + "epoch": 0.3, + "learning_rate": 8.169299306185187e-06, + "loss": 1.0043, + "step": 10315 + }, + { + "epoch": 0.3, + "learning_rate": 8.168931309907123e-06, + "loss": 0.7985, + "step": 10316 + }, + { + "epoch": 0.3, + "learning_rate": 8.16856328493687e-06, + "loss": 0.7473, + "step": 10317 + }, + { + "epoch": 0.3, + "learning_rate": 8.168195231277763e-06, + "loss": 0.8565, + "step": 10318 + }, + { + "epoch": 0.3, + "learning_rate": 8.167827148933131e-06, + "loss": 0.6099, + "step": 10319 + }, + { + "epoch": 0.3, + "learning_rate": 8.16745903790631e-06, + "loss": 0.9578, + "step": 10320 + }, + { + "epoch": 0.3, + "learning_rate": 8.167090898200633e-06, + "loss": 0.7793, + "step": 10321 + }, + { + "epoch": 0.3, + "learning_rate": 8.166722729819431e-06, + "loss": 0.7589, + "step": 10322 + }, + { + "epoch": 0.3, + "learning_rate": 8.166354532766039e-06, + "loss": 0.6349, + "step": 10323 + }, + { + "epoch": 0.3, + "learning_rate": 8.16598630704379e-06, + "loss": 0.9656, + "step": 10324 + }, + { + "epoch": 0.3, + "learning_rate": 8.16561805265602e-06, + "loss": 0.7239, + "step": 10325 + }, + { + "epoch": 0.3, + "learning_rate": 8.165249769606059e-06, + "loss": 0.7537, + "step": 10326 + }, + { + "epoch": 0.3, + "learning_rate": 8.164881457897245e-06, + "loss": 0.7008, + "step": 10327 + }, + { + "epoch": 0.3, + "learning_rate": 8.164513117532911e-06, + "loss": 0.5902, + "step": 10328 + }, + { + "epoch": 0.3, + "learning_rate": 8.164144748516394e-06, + "loss": 0.7535, + "step": 10329 + }, + { + "epoch": 0.3, + "learning_rate": 8.163776350851029e-06, + "loss": 0.6262, + "step": 10330 + }, + { + "epoch": 0.3, + "learning_rate": 8.16340792454015e-06, + "loss": 0.6009, + "step": 10331 + }, + { + "epoch": 0.3, + "learning_rate": 8.163039469587093e-06, + "loss": 0.5712, + "step": 10332 + }, + { + "epoch": 0.3, + "learning_rate": 8.162670985995194e-06, + "loss": 0.6819, + "step": 10333 + }, + { + "epoch": 0.3, + "learning_rate": 8.16230247376779e-06, + "loss": 0.8422, + "step": 10334 + }, + { + "epoch": 0.3, + "learning_rate": 8.161933932908218e-06, + "loss": 0.9565, + "step": 10335 + }, + { + "epoch": 0.3, + "learning_rate": 8.161565363419814e-06, + "loss": 0.6743, + "step": 10336 + }, + { + "epoch": 0.3, + "learning_rate": 8.161196765305916e-06, + "loss": 0.8788, + "step": 10337 + }, + { + "epoch": 0.3, + "learning_rate": 8.16082813856986e-06, + "loss": 0.8941, + "step": 10338 + }, + { + "epoch": 0.3, + "learning_rate": 8.160459483214987e-06, + "loss": 0.978, + "step": 10339 + }, + { + "epoch": 0.3, + "learning_rate": 8.160090799244632e-06, + "loss": 0.6376, + "step": 10340 + }, + { + "epoch": 0.3, + "learning_rate": 8.15972208666213e-06, + "loss": 1.126, + "step": 10341 + }, + { + "epoch": 0.3, + "learning_rate": 8.159353345470826e-06, + "loss": 0.7744, + "step": 10342 + }, + { + "epoch": 0.3, + "learning_rate": 8.158984575674054e-06, + "loss": 0.6658, + "step": 10343 + }, + { + "epoch": 0.3, + "learning_rate": 8.158615777275154e-06, + "loss": 0.7308, + "step": 10344 + }, + { + "epoch": 0.3, + "learning_rate": 8.158246950277466e-06, + "loss": 0.5499, + "step": 10345 + }, + { + "epoch": 0.3, + "learning_rate": 8.157878094684331e-06, + "loss": 0.6875, + "step": 10346 + }, + { + "epoch": 0.3, + "learning_rate": 8.157509210499086e-06, + "loss": 0.5643, + "step": 10347 + }, + { + "epoch": 0.3, + "learning_rate": 8.15714029772507e-06, + "loss": 0.523, + "step": 10348 + }, + { + "epoch": 0.3, + "learning_rate": 8.156771356365626e-06, + "loss": 0.5917, + "step": 10349 + }, + { + "epoch": 0.3, + "learning_rate": 8.156402386424094e-06, + "loss": 1.1069, + "step": 10350 + }, + { + "epoch": 0.3, + "learning_rate": 8.156033387903815e-06, + "loss": 0.8527, + "step": 10351 + }, + { + "epoch": 0.3, + "learning_rate": 8.155664360808128e-06, + "loss": 0.9907, + "step": 10352 + }, + { + "epoch": 0.3, + "learning_rate": 8.155295305140374e-06, + "loss": 0.9668, + "step": 10353 + }, + { + "epoch": 0.3, + "learning_rate": 8.154926220903899e-06, + "loss": 0.5864, + "step": 10354 + }, + { + "epoch": 0.3, + "learning_rate": 8.154557108102038e-06, + "loss": 0.6412, + "step": 10355 + }, + { + "epoch": 0.3, + "learning_rate": 8.154187966738139e-06, + "loss": 0.6615, + "step": 10356 + }, + { + "epoch": 0.3, + "learning_rate": 8.153818796815543e-06, + "loss": 0.8108, + "step": 10357 + }, + { + "epoch": 0.3, + "learning_rate": 8.153449598337589e-06, + "loss": 0.7622, + "step": 10358 + }, + { + "epoch": 0.3, + "learning_rate": 8.153080371307625e-06, + "loss": 0.974, + "step": 10359 + }, + { + "epoch": 0.3, + "learning_rate": 8.15271111572899e-06, + "loss": 0.7508, + "step": 10360 + }, + { + "epoch": 0.3, + "learning_rate": 8.152341831605029e-06, + "loss": 0.7016, + "step": 10361 + }, + { + "epoch": 0.3, + "learning_rate": 8.151972518939083e-06, + "loss": 0.8682, + "step": 10362 + }, + { + "epoch": 0.3, + "learning_rate": 8.1516031777345e-06, + "loss": 0.7828, + "step": 10363 + }, + { + "epoch": 0.3, + "learning_rate": 8.151233807994623e-06, + "loss": 0.575, + "step": 10364 + }, + { + "epoch": 0.3, + "learning_rate": 8.150864409722795e-06, + "loss": 0.577, + "step": 10365 + }, + { + "epoch": 0.3, + "learning_rate": 8.150494982922361e-06, + "loss": 0.6077, + "step": 10366 + }, + { + "epoch": 0.3, + "learning_rate": 8.150125527596667e-06, + "loss": 0.7168, + "step": 10367 + }, + { + "epoch": 0.3, + "learning_rate": 8.149756043749056e-06, + "loss": 0.8962, + "step": 10368 + }, + { + "epoch": 0.3, + "learning_rate": 8.149386531382874e-06, + "loss": 0.8114, + "step": 10369 + }, + { + "epoch": 0.3, + "learning_rate": 8.14901699050147e-06, + "loss": 0.8386, + "step": 10370 + }, + { + "epoch": 0.3, + "learning_rate": 8.148647421108185e-06, + "loss": 0.7387, + "step": 10371 + }, + { + "epoch": 0.3, + "learning_rate": 8.148277823206368e-06, + "loss": 0.8824, + "step": 10372 + }, + { + "epoch": 0.3, + "learning_rate": 8.147908196799363e-06, + "loss": 0.6044, + "step": 10373 + }, + { + "epoch": 0.3, + "learning_rate": 8.14753854189052e-06, + "loss": 0.7921, + "step": 10374 + }, + { + "epoch": 0.3, + "learning_rate": 8.147168858483186e-06, + "loss": 0.5474, + "step": 10375 + }, + { + "epoch": 0.3, + "learning_rate": 8.146799146580703e-06, + "loss": 0.7341, + "step": 10376 + }, + { + "epoch": 0.3, + "learning_rate": 8.146429406186425e-06, + "loss": 0.8708, + "step": 10377 + }, + { + "epoch": 0.3, + "learning_rate": 8.146059637303694e-06, + "loss": 1.1035, + "step": 10378 + }, + { + "epoch": 0.3, + "learning_rate": 8.145689839935864e-06, + "loss": 0.795, + "step": 10379 + }, + { + "epoch": 0.3, + "learning_rate": 8.145320014086278e-06, + "loss": 0.8099, + "step": 10380 + }, + { + "epoch": 0.3, + "learning_rate": 8.144950159758285e-06, + "loss": 0.7452, + "step": 10381 + }, + { + "epoch": 0.31, + "learning_rate": 8.144580276955235e-06, + "loss": 0.9788, + "step": 10382 + }, + { + "epoch": 0.31, + "learning_rate": 8.144210365680481e-06, + "loss": 0.7761, + "step": 10383 + }, + { + "epoch": 0.31, + "learning_rate": 8.143840425937364e-06, + "loss": 0.6966, + "step": 10384 + }, + { + "epoch": 0.31, + "learning_rate": 8.143470457729241e-06, + "loss": 0.8148, + "step": 10385 + }, + { + "epoch": 0.31, + "learning_rate": 8.143100461059457e-06, + "loss": 0.7718, + "step": 10386 + }, + { + "epoch": 0.31, + "learning_rate": 8.142730435931362e-06, + "loss": 0.6255, + "step": 10387 + }, + { + "epoch": 0.31, + "learning_rate": 8.142360382348312e-06, + "loss": 0.7657, + "step": 10388 + }, + { + "epoch": 0.31, + "learning_rate": 8.141990300313651e-06, + "loss": 0.9938, + "step": 10389 + }, + { + "epoch": 0.31, + "learning_rate": 8.141620189830734e-06, + "loss": 0.8065, + "step": 10390 + }, + { + "epoch": 0.31, + "learning_rate": 8.141250050902908e-06, + "loss": 0.7299, + "step": 10391 + }, + { + "epoch": 0.31, + "learning_rate": 8.140879883533528e-06, + "loss": 0.9145, + "step": 10392 + }, + { + "epoch": 0.31, + "learning_rate": 8.140509687725944e-06, + "loss": 0.5562, + "step": 10393 + }, + { + "epoch": 0.31, + "learning_rate": 8.140139463483507e-06, + "loss": 0.8801, + "step": 10394 + }, + { + "epoch": 0.31, + "learning_rate": 8.139769210809573e-06, + "loss": 0.8687, + "step": 10395 + }, + { + "epoch": 0.31, + "learning_rate": 8.13939892970749e-06, + "loss": 0.7056, + "step": 10396 + }, + { + "epoch": 0.31, + "learning_rate": 8.139028620180612e-06, + "loss": 0.791, + "step": 10397 + }, + { + "epoch": 0.31, + "learning_rate": 8.13865828223229e-06, + "loss": 0.6581, + "step": 10398 + }, + { + "epoch": 0.31, + "learning_rate": 8.138287915865883e-06, + "loss": 0.8418, + "step": 10399 + }, + { + "epoch": 0.31, + "learning_rate": 8.137917521084737e-06, + "loss": 0.771, + "step": 10400 + }, + { + "epoch": 0.31, + "learning_rate": 8.13754709789221e-06, + "loss": 0.8583, + "step": 10401 + }, + { + "epoch": 0.31, + "learning_rate": 8.137176646291658e-06, + "loss": 0.9018, + "step": 10402 + }, + { + "epoch": 0.31, + "learning_rate": 8.13680616628643e-06, + "loss": 0.7674, + "step": 10403 + }, + { + "epoch": 0.31, + "learning_rate": 8.136435657879882e-06, + "loss": 0.8809, + "step": 10404 + }, + { + "epoch": 0.31, + "learning_rate": 8.13606512107537e-06, + "loss": 0.7486, + "step": 10405 + }, + { + "epoch": 0.31, + "learning_rate": 8.135694555876249e-06, + "loss": 0.8065, + "step": 10406 + }, + { + "epoch": 0.31, + "learning_rate": 8.13532396228587e-06, + "loss": 0.5873, + "step": 10407 + }, + { + "epoch": 0.31, + "learning_rate": 8.134953340307595e-06, + "loss": 0.5804, + "step": 10408 + }, + { + "epoch": 0.31, + "learning_rate": 8.134582689944774e-06, + "loss": 0.77, + "step": 10409 + }, + { + "epoch": 0.31, + "learning_rate": 8.134212011200768e-06, + "loss": 0.5162, + "step": 10410 + }, + { + "epoch": 0.31, + "learning_rate": 8.133841304078928e-06, + "loss": 0.568, + "step": 10411 + }, + { + "epoch": 0.31, + "learning_rate": 8.133470568582615e-06, + "loss": 0.7829, + "step": 10412 + }, + { + "epoch": 0.31, + "learning_rate": 8.133099804715184e-06, + "loss": 0.9707, + "step": 10413 + }, + { + "epoch": 0.31, + "learning_rate": 8.132729012479992e-06, + "loss": 0.757, + "step": 10414 + }, + { + "epoch": 0.31, + "learning_rate": 8.132358191880393e-06, + "loss": 0.6681, + "step": 10415 + }, + { + "epoch": 0.31, + "learning_rate": 8.131987342919751e-06, + "loss": 0.6492, + "step": 10416 + }, + { + "epoch": 0.31, + "learning_rate": 8.131616465601418e-06, + "loss": 0.6483, + "step": 10417 + }, + { + "epoch": 0.31, + "learning_rate": 8.131245559928755e-06, + "loss": 1.0391, + "step": 10418 + }, + { + "epoch": 0.31, + "learning_rate": 8.130874625905121e-06, + "loss": 0.781, + "step": 10419 + }, + { + "epoch": 0.31, + "learning_rate": 8.13050366353387e-06, + "loss": 0.8385, + "step": 10420 + }, + { + "epoch": 0.31, + "learning_rate": 8.130132672818368e-06, + "loss": 0.5776, + "step": 10421 + }, + { + "epoch": 0.31, + "learning_rate": 8.129761653761965e-06, + "loss": 0.8561, + "step": 10422 + }, + { + "epoch": 0.31, + "learning_rate": 8.129390606368029e-06, + "loss": 0.9929, + "step": 10423 + }, + { + "epoch": 0.31, + "learning_rate": 8.129019530639912e-06, + "loss": 0.8057, + "step": 10424 + }, + { + "epoch": 0.31, + "learning_rate": 8.128648426580981e-06, + "loss": 0.7739, + "step": 10425 + }, + { + "epoch": 0.31, + "learning_rate": 8.12827729419459e-06, + "loss": 0.7089, + "step": 10426 + }, + { + "epoch": 0.31, + "learning_rate": 8.127906133484102e-06, + "loss": 0.7726, + "step": 10427 + }, + { + "epoch": 0.31, + "learning_rate": 8.127534944452879e-06, + "loss": 1.0292, + "step": 10428 + }, + { + "epoch": 0.31, + "learning_rate": 8.12716372710428e-06, + "loss": 0.7504, + "step": 10429 + }, + { + "epoch": 0.31, + "learning_rate": 8.126792481441665e-06, + "loss": 0.5747, + "step": 10430 + }, + { + "epoch": 0.31, + "learning_rate": 8.126421207468398e-06, + "loss": 0.6927, + "step": 10431 + }, + { + "epoch": 0.31, + "learning_rate": 8.126049905187838e-06, + "loss": 0.9404, + "step": 10432 + }, + { + "epoch": 0.31, + "learning_rate": 8.125678574603349e-06, + "loss": 0.8728, + "step": 10433 + }, + { + "epoch": 0.31, + "learning_rate": 8.125307215718291e-06, + "loss": 0.7472, + "step": 10434 + }, + { + "epoch": 0.31, + "learning_rate": 8.12493582853603e-06, + "loss": 0.5408, + "step": 10435 + }, + { + "epoch": 0.31, + "learning_rate": 8.124564413059923e-06, + "loss": 0.6026, + "step": 10436 + }, + { + "epoch": 0.31, + "learning_rate": 8.124192969293336e-06, + "loss": 0.8963, + "step": 10437 + }, + { + "epoch": 0.31, + "learning_rate": 8.123821497239635e-06, + "loss": 0.7703, + "step": 10438 + }, + { + "epoch": 0.31, + "learning_rate": 8.12344999690218e-06, + "loss": 0.6117, + "step": 10439 + }, + { + "epoch": 0.31, + "learning_rate": 8.123078468284333e-06, + "loss": 0.7969, + "step": 10440 + }, + { + "epoch": 0.31, + "learning_rate": 8.122706911389463e-06, + "loss": 0.5303, + "step": 10441 + }, + { + "epoch": 0.31, + "learning_rate": 8.122335326220929e-06, + "loss": 0.6659, + "step": 10442 + }, + { + "epoch": 0.31, + "learning_rate": 8.121963712782098e-06, + "loss": 0.9569, + "step": 10443 + }, + { + "epoch": 0.31, + "learning_rate": 8.121592071076335e-06, + "loss": 0.9339, + "step": 10444 + }, + { + "epoch": 0.31, + "learning_rate": 8.121220401107005e-06, + "loss": 0.4574, + "step": 10445 + }, + { + "epoch": 0.31, + "learning_rate": 8.12084870287747e-06, + "loss": 0.7828, + "step": 10446 + }, + { + "epoch": 0.31, + "learning_rate": 8.120476976391101e-06, + "loss": 0.6947, + "step": 10447 + }, + { + "epoch": 0.31, + "learning_rate": 8.120105221651257e-06, + "loss": 0.7051, + "step": 10448 + }, + { + "epoch": 0.31, + "learning_rate": 8.11973343866131e-06, + "loss": 0.6449, + "step": 10449 + }, + { + "epoch": 0.31, + "learning_rate": 8.119361627424625e-06, + "loss": 0.6769, + "step": 10450 + }, + { + "epoch": 0.31, + "learning_rate": 8.118989787944564e-06, + "loss": 0.7399, + "step": 10451 + }, + { + "epoch": 0.31, + "learning_rate": 8.1186179202245e-06, + "loss": 0.7606, + "step": 10452 + }, + { + "epoch": 0.31, + "learning_rate": 8.118246024267796e-06, + "loss": 0.6423, + "step": 10453 + }, + { + "epoch": 0.31, + "learning_rate": 8.117874100077818e-06, + "loss": 0.718, + "step": 10454 + }, + { + "epoch": 0.31, + "learning_rate": 8.117502147657938e-06, + "loss": 1.0299, + "step": 10455 + }, + { + "epoch": 0.31, + "learning_rate": 8.117130167011518e-06, + "loss": 0.7491, + "step": 10456 + }, + { + "epoch": 0.31, + "learning_rate": 8.116758158141932e-06, + "loss": 0.8779, + "step": 10457 + }, + { + "epoch": 0.31, + "learning_rate": 8.116386121052546e-06, + "loss": 0.8454, + "step": 10458 + }, + { + "epoch": 0.31, + "learning_rate": 8.116014055746728e-06, + "loss": 0.6576, + "step": 10459 + }, + { + "epoch": 0.31, + "learning_rate": 8.115641962227845e-06, + "loss": 0.8024, + "step": 10460 + }, + { + "epoch": 0.31, + "learning_rate": 8.115269840499269e-06, + "loss": 0.5876, + "step": 10461 + }, + { + "epoch": 0.31, + "learning_rate": 8.114897690564369e-06, + "loss": 0.5539, + "step": 10462 + }, + { + "epoch": 0.31, + "learning_rate": 8.114525512426512e-06, + "loss": 0.7017, + "step": 10463 + }, + { + "epoch": 0.31, + "learning_rate": 8.11415330608907e-06, + "loss": 0.7187, + "step": 10464 + }, + { + "epoch": 0.31, + "learning_rate": 8.113781071555414e-06, + "loss": 0.9737, + "step": 10465 + }, + { + "epoch": 0.31, + "learning_rate": 8.113408808828908e-06, + "loss": 0.7148, + "step": 10466 + }, + { + "epoch": 0.31, + "learning_rate": 8.113036517912932e-06, + "loss": 0.8598, + "step": 10467 + }, + { + "epoch": 0.31, + "learning_rate": 8.112664198810851e-06, + "loss": 0.6618, + "step": 10468 + }, + { + "epoch": 0.31, + "learning_rate": 8.112291851526038e-06, + "loss": 0.5923, + "step": 10469 + }, + { + "epoch": 0.31, + "learning_rate": 8.11191947606186e-06, + "loss": 0.5344, + "step": 10470 + }, + { + "epoch": 0.31, + "learning_rate": 8.111547072421695e-06, + "loss": 0.7931, + "step": 10471 + }, + { + "epoch": 0.31, + "learning_rate": 8.111174640608912e-06, + "loss": 0.6504, + "step": 10472 + }, + { + "epoch": 0.31, + "learning_rate": 8.110802180626882e-06, + "loss": 0.8696, + "step": 10473 + }, + { + "epoch": 0.31, + "learning_rate": 8.110429692478978e-06, + "loss": 0.7474, + "step": 10474 + }, + { + "epoch": 0.31, + "learning_rate": 8.110057176168573e-06, + "loss": 0.7647, + "step": 10475 + }, + { + "epoch": 0.31, + "learning_rate": 8.10968463169904e-06, + "loss": 0.7973, + "step": 10476 + }, + { + "epoch": 0.31, + "learning_rate": 8.109312059073751e-06, + "loss": 0.8823, + "step": 10477 + }, + { + "epoch": 0.31, + "learning_rate": 8.108939458296081e-06, + "loss": 0.6888, + "step": 10478 + }, + { + "epoch": 0.31, + "learning_rate": 8.108566829369403e-06, + "loss": 0.7105, + "step": 10479 + }, + { + "epoch": 0.31, + "learning_rate": 8.108194172297091e-06, + "loss": 0.7426, + "step": 10480 + }, + { + "epoch": 0.31, + "learning_rate": 8.107821487082516e-06, + "loss": 0.9068, + "step": 10481 + }, + { + "epoch": 0.31, + "learning_rate": 8.107448773729058e-06, + "loss": 0.5837, + "step": 10482 + }, + { + "epoch": 0.31, + "learning_rate": 8.107076032240088e-06, + "loss": 0.4975, + "step": 10483 + }, + { + "epoch": 0.31, + "learning_rate": 8.106703262618982e-06, + "loss": 0.724, + "step": 10484 + }, + { + "epoch": 0.31, + "learning_rate": 8.106330464869114e-06, + "loss": 0.75, + "step": 10485 + }, + { + "epoch": 0.31, + "learning_rate": 8.10595763899386e-06, + "loss": 0.7575, + "step": 10486 + }, + { + "epoch": 0.31, + "learning_rate": 8.105584784996597e-06, + "loss": 0.7488, + "step": 10487 + }, + { + "epoch": 0.31, + "learning_rate": 8.105211902880698e-06, + "loss": 0.7518, + "step": 10488 + }, + { + "epoch": 0.31, + "learning_rate": 8.104838992649542e-06, + "loss": 0.7061, + "step": 10489 + }, + { + "epoch": 0.31, + "learning_rate": 8.104466054306503e-06, + "loss": 0.5602, + "step": 10490 + }, + { + "epoch": 0.31, + "learning_rate": 8.10409308785496e-06, + "loss": 0.7382, + "step": 10491 + }, + { + "epoch": 0.31, + "learning_rate": 8.103720093298289e-06, + "loss": 0.5114, + "step": 10492 + }, + { + "epoch": 0.31, + "learning_rate": 8.103347070639867e-06, + "loss": 0.9455, + "step": 10493 + }, + { + "epoch": 0.31, + "learning_rate": 8.102974019883071e-06, + "loss": 1.0239, + "step": 10494 + }, + { + "epoch": 0.31, + "learning_rate": 8.102600941031278e-06, + "loss": 0.9743, + "step": 10495 + }, + { + "epoch": 0.31, + "learning_rate": 8.102227834087869e-06, + "loss": 0.6795, + "step": 10496 + }, + { + "epoch": 0.31, + "learning_rate": 8.10185469905622e-06, + "loss": 0.6846, + "step": 10497 + }, + { + "epoch": 0.31, + "learning_rate": 8.101481535939708e-06, + "loss": 0.8119, + "step": 10498 + }, + { + "epoch": 0.31, + "learning_rate": 8.101108344741715e-06, + "loss": 0.704, + "step": 10499 + }, + { + "epoch": 0.31, + "learning_rate": 8.100735125465618e-06, + "loss": 0.6221, + "step": 10500 + }, + { + "epoch": 0.31, + "learning_rate": 8.100361878114797e-06, + "loss": 0.5889, + "step": 10501 + }, + { + "epoch": 0.31, + "learning_rate": 8.09998860269263e-06, + "loss": 0.6581, + "step": 10502 + }, + { + "epoch": 0.31, + "learning_rate": 8.099615299202499e-06, + "loss": 0.7312, + "step": 10503 + }, + { + "epoch": 0.31, + "learning_rate": 8.099241967647782e-06, + "loss": 0.8445, + "step": 10504 + }, + { + "epoch": 0.31, + "learning_rate": 8.09886860803186e-06, + "loss": 0.7647, + "step": 10505 + }, + { + "epoch": 0.31, + "learning_rate": 8.098495220358112e-06, + "loss": 0.9268, + "step": 10506 + }, + { + "epoch": 0.31, + "learning_rate": 8.098121804629921e-06, + "loss": 0.7868, + "step": 10507 + }, + { + "epoch": 0.31, + "learning_rate": 8.097748360850667e-06, + "loss": 0.8614, + "step": 10508 + }, + { + "epoch": 0.31, + "learning_rate": 8.097374889023733e-06, + "loss": 0.8742, + "step": 10509 + }, + { + "epoch": 0.31, + "learning_rate": 8.097001389152498e-06, + "loss": 0.7449, + "step": 10510 + }, + { + "epoch": 0.31, + "learning_rate": 8.096627861240345e-06, + "loss": 0.7332, + "step": 10511 + }, + { + "epoch": 0.31, + "learning_rate": 8.096254305290654e-06, + "loss": 0.7106, + "step": 10512 + }, + { + "epoch": 0.31, + "learning_rate": 8.09588072130681e-06, + "loss": 0.6378, + "step": 10513 + }, + { + "epoch": 0.31, + "learning_rate": 8.095507109292195e-06, + "loss": 0.887, + "step": 10514 + }, + { + "epoch": 0.31, + "learning_rate": 8.09513346925019e-06, + "loss": 0.7933, + "step": 10515 + }, + { + "epoch": 0.31, + "learning_rate": 8.09475980118418e-06, + "loss": 0.8528, + "step": 10516 + }, + { + "epoch": 0.31, + "learning_rate": 8.094386105097548e-06, + "loss": 0.7867, + "step": 10517 + }, + { + "epoch": 0.31, + "learning_rate": 8.094012380993675e-06, + "loss": 0.5607, + "step": 10518 + }, + { + "epoch": 0.31, + "learning_rate": 8.093638628875948e-06, + "loss": 0.6528, + "step": 10519 + }, + { + "epoch": 0.31, + "learning_rate": 8.093264848747748e-06, + "loss": 0.6238, + "step": 10520 + }, + { + "epoch": 0.31, + "learning_rate": 8.092891040612462e-06, + "loss": 0.9478, + "step": 10521 + }, + { + "epoch": 0.31, + "learning_rate": 8.092517204473476e-06, + "loss": 0.9096, + "step": 10522 + }, + { + "epoch": 0.31, + "learning_rate": 8.09214334033417e-06, + "loss": 0.6356, + "step": 10523 + }, + { + "epoch": 0.31, + "learning_rate": 8.09176944819793e-06, + "loss": 0.8934, + "step": 10524 + }, + { + "epoch": 0.31, + "learning_rate": 8.091395528068146e-06, + "loss": 0.8585, + "step": 10525 + }, + { + "epoch": 0.31, + "learning_rate": 8.091021579948199e-06, + "loss": 0.7863, + "step": 10526 + }, + { + "epoch": 0.31, + "learning_rate": 8.090647603841476e-06, + "loss": 1.038, + "step": 10527 + }, + { + "epoch": 0.31, + "learning_rate": 8.090273599751362e-06, + "loss": 0.5885, + "step": 10528 + }, + { + "epoch": 0.31, + "learning_rate": 8.089899567681247e-06, + "loss": 0.7807, + "step": 10529 + }, + { + "epoch": 0.31, + "learning_rate": 8.089525507634512e-06, + "loss": 0.7452, + "step": 10530 + }, + { + "epoch": 0.31, + "learning_rate": 8.08915141961455e-06, + "loss": 0.8327, + "step": 10531 + }, + { + "epoch": 0.31, + "learning_rate": 8.088777303624743e-06, + "loss": 0.613, + "step": 10532 + }, + { + "epoch": 0.31, + "learning_rate": 8.08840315966848e-06, + "loss": 0.8375, + "step": 10533 + }, + { + "epoch": 0.31, + "learning_rate": 8.08802898774915e-06, + "loss": 0.6416, + "step": 10534 + }, + { + "epoch": 0.31, + "learning_rate": 8.087654787870138e-06, + "loss": 0.4982, + "step": 10535 + }, + { + "epoch": 0.31, + "learning_rate": 8.087280560034835e-06, + "loss": 0.4668, + "step": 10536 + }, + { + "epoch": 0.31, + "learning_rate": 8.086906304246628e-06, + "loss": 0.7532, + "step": 10537 + }, + { + "epoch": 0.31, + "learning_rate": 8.086532020508906e-06, + "loss": 0.7901, + "step": 10538 + }, + { + "epoch": 0.31, + "learning_rate": 8.086157708825058e-06, + "loss": 0.39, + "step": 10539 + }, + { + "epoch": 0.31, + "learning_rate": 8.085783369198472e-06, + "loss": 0.8265, + "step": 10540 + }, + { + "epoch": 0.31, + "learning_rate": 8.085409001632538e-06, + "loss": 0.5671, + "step": 10541 + }, + { + "epoch": 0.31, + "learning_rate": 8.085034606130646e-06, + "loss": 0.9679, + "step": 10542 + }, + { + "epoch": 0.31, + "learning_rate": 8.084660182696184e-06, + "loss": 0.9214, + "step": 10543 + }, + { + "epoch": 0.31, + "learning_rate": 8.084285731332543e-06, + "loss": 0.6083, + "step": 10544 + }, + { + "epoch": 0.31, + "learning_rate": 8.083911252043114e-06, + "loss": 0.8087, + "step": 10545 + }, + { + "epoch": 0.31, + "learning_rate": 8.08353674483129e-06, + "loss": 0.7939, + "step": 10546 + }, + { + "epoch": 0.31, + "learning_rate": 8.083162209700459e-06, + "loss": 0.7746, + "step": 10547 + }, + { + "epoch": 0.31, + "learning_rate": 8.082787646654011e-06, + "loss": 0.9098, + "step": 10548 + }, + { + "epoch": 0.31, + "learning_rate": 8.08241305569534e-06, + "loss": 0.775, + "step": 10549 + }, + { + "epoch": 0.31, + "learning_rate": 8.082038436827836e-06, + "loss": 0.8746, + "step": 10550 + }, + { + "epoch": 0.31, + "learning_rate": 8.081663790054892e-06, + "loss": 0.5557, + "step": 10551 + }, + { + "epoch": 0.31, + "learning_rate": 8.081289115379899e-06, + "loss": 0.787, + "step": 10552 + }, + { + "epoch": 0.31, + "learning_rate": 8.08091441280625e-06, + "loss": 0.7043, + "step": 10553 + }, + { + "epoch": 0.31, + "learning_rate": 8.080539682337338e-06, + "loss": 0.7252, + "step": 10554 + }, + { + "epoch": 0.31, + "learning_rate": 8.080164923976554e-06, + "loss": 0.8249, + "step": 10555 + }, + { + "epoch": 0.31, + "learning_rate": 8.079790137727294e-06, + "loss": 0.5044, + "step": 10556 + }, + { + "epoch": 0.31, + "learning_rate": 8.07941532359295e-06, + "loss": 0.6589, + "step": 10557 + }, + { + "epoch": 0.31, + "learning_rate": 8.079040481576916e-06, + "loss": 0.6038, + "step": 10558 + }, + { + "epoch": 0.31, + "learning_rate": 8.078665611682583e-06, + "loss": 0.712, + "step": 10559 + }, + { + "epoch": 0.31, + "learning_rate": 8.07829071391335e-06, + "loss": 0.9594, + "step": 10560 + }, + { + "epoch": 0.31, + "learning_rate": 8.077915788272609e-06, + "loss": 0.7216, + "step": 10561 + }, + { + "epoch": 0.31, + "learning_rate": 8.077540834763756e-06, + "loss": 1.0362, + "step": 10562 + }, + { + "epoch": 0.31, + "learning_rate": 8.07716585339018e-06, + "loss": 0.847, + "step": 10563 + }, + { + "epoch": 0.31, + "learning_rate": 8.076790844155285e-06, + "loss": 0.7316, + "step": 10564 + }, + { + "epoch": 0.31, + "learning_rate": 8.07641580706246e-06, + "loss": 0.8275, + "step": 10565 + }, + { + "epoch": 0.31, + "learning_rate": 8.076040742115106e-06, + "loss": 0.7783, + "step": 10566 + }, + { + "epoch": 0.31, + "learning_rate": 8.075665649316613e-06, + "loss": 0.7706, + "step": 10567 + }, + { + "epoch": 0.31, + "learning_rate": 8.07529052867038e-06, + "loss": 0.7741, + "step": 10568 + }, + { + "epoch": 0.31, + "learning_rate": 8.074915380179804e-06, + "loss": 0.6265, + "step": 10569 + }, + { + "epoch": 0.31, + "learning_rate": 8.074540203848282e-06, + "loss": 0.8648, + "step": 10570 + }, + { + "epoch": 0.31, + "learning_rate": 8.07416499967921e-06, + "loss": 0.7395, + "step": 10571 + }, + { + "epoch": 0.31, + "learning_rate": 8.073789767675984e-06, + "loss": 0.6892, + "step": 10572 + }, + { + "epoch": 0.31, + "learning_rate": 8.073414507842003e-06, + "loss": 0.748, + "step": 10573 + }, + { + "epoch": 0.31, + "learning_rate": 8.073039220180665e-06, + "loss": 0.6894, + "step": 10574 + }, + { + "epoch": 0.31, + "learning_rate": 8.072663904695366e-06, + "loss": 0.5524, + "step": 10575 + }, + { + "epoch": 0.31, + "learning_rate": 8.072288561389508e-06, + "loss": 0.8274, + "step": 10576 + }, + { + "epoch": 0.31, + "learning_rate": 8.071913190266485e-06, + "loss": 0.7199, + "step": 10577 + }, + { + "epoch": 0.31, + "learning_rate": 8.071537791329698e-06, + "loss": 0.9331, + "step": 10578 + }, + { + "epoch": 0.31, + "learning_rate": 8.071162364582543e-06, + "loss": 0.9732, + "step": 10579 + }, + { + "epoch": 0.31, + "learning_rate": 8.070786910028425e-06, + "loss": 0.6401, + "step": 10580 + }, + { + "epoch": 0.31, + "learning_rate": 8.07041142767074e-06, + "loss": 0.7183, + "step": 10581 + }, + { + "epoch": 0.31, + "learning_rate": 8.070035917512886e-06, + "loss": 0.9154, + "step": 10582 + }, + { + "epoch": 0.31, + "learning_rate": 8.069660379558265e-06, + "loss": 0.8105, + "step": 10583 + }, + { + "epoch": 0.31, + "learning_rate": 8.069284813810277e-06, + "loss": 0.9838, + "step": 10584 + }, + { + "epoch": 0.31, + "learning_rate": 8.068909220272324e-06, + "loss": 0.8003, + "step": 10585 + }, + { + "epoch": 0.31, + "learning_rate": 8.068533598947804e-06, + "loss": 0.9135, + "step": 10586 + }, + { + "epoch": 0.31, + "learning_rate": 8.06815794984012e-06, + "loss": 0.8475, + "step": 10587 + }, + { + "epoch": 0.31, + "learning_rate": 8.06778227295267e-06, + "loss": 0.5818, + "step": 10588 + }, + { + "epoch": 0.31, + "learning_rate": 8.06740656828886e-06, + "loss": 0.5291, + "step": 10589 + }, + { + "epoch": 0.31, + "learning_rate": 8.06703083585209e-06, + "loss": 0.7655, + "step": 10590 + }, + { + "epoch": 0.31, + "learning_rate": 8.06665507564576e-06, + "loss": 0.9398, + "step": 10591 + }, + { + "epoch": 0.31, + "learning_rate": 8.066279287673274e-06, + "loss": 0.6466, + "step": 10592 + }, + { + "epoch": 0.31, + "learning_rate": 8.065903471938035e-06, + "loss": 0.6761, + "step": 10593 + }, + { + "epoch": 0.31, + "learning_rate": 8.065527628443444e-06, + "loss": 0.7985, + "step": 10594 + }, + { + "epoch": 0.31, + "learning_rate": 8.065151757192906e-06, + "loss": 0.6256, + "step": 10595 + }, + { + "epoch": 0.31, + "learning_rate": 8.064775858189822e-06, + "loss": 0.5948, + "step": 10596 + }, + { + "epoch": 0.31, + "learning_rate": 8.064399931437596e-06, + "loss": 0.793, + "step": 10597 + }, + { + "epoch": 0.31, + "learning_rate": 8.064023976939633e-06, + "loss": 0.8234, + "step": 10598 + }, + { + "epoch": 0.31, + "learning_rate": 8.063647994699335e-06, + "loss": 0.5915, + "step": 10599 + }, + { + "epoch": 0.31, + "learning_rate": 8.063271984720108e-06, + "loss": 0.7877, + "step": 10600 + }, + { + "epoch": 0.31, + "learning_rate": 8.062895947005356e-06, + "loss": 0.7963, + "step": 10601 + }, + { + "epoch": 0.31, + "learning_rate": 8.062519881558484e-06, + "loss": 0.6706, + "step": 10602 + }, + { + "epoch": 0.31, + "learning_rate": 8.062143788382896e-06, + "loss": 1.0731, + "step": 10603 + }, + { + "epoch": 0.31, + "learning_rate": 8.061767667482e-06, + "loss": 0.7138, + "step": 10604 + }, + { + "epoch": 0.31, + "learning_rate": 8.061391518859198e-06, + "loss": 0.7253, + "step": 10605 + }, + { + "epoch": 0.31, + "learning_rate": 8.061015342517897e-06, + "loss": 0.72, + "step": 10606 + }, + { + "epoch": 0.31, + "learning_rate": 8.060639138461503e-06, + "loss": 0.553, + "step": 10607 + }, + { + "epoch": 0.31, + "learning_rate": 8.06026290669342e-06, + "loss": 0.8093, + "step": 10608 + }, + { + "epoch": 0.31, + "learning_rate": 8.059886647217059e-06, + "loss": 0.6319, + "step": 10609 + }, + { + "epoch": 0.31, + "learning_rate": 8.059510360035825e-06, + "loss": 0.7372, + "step": 10610 + }, + { + "epoch": 0.31, + "learning_rate": 8.059134045153123e-06, + "loss": 0.8665, + "step": 10611 + }, + { + "epoch": 0.31, + "learning_rate": 8.058757702572365e-06, + "loss": 0.8982, + "step": 10612 + }, + { + "epoch": 0.31, + "learning_rate": 8.058381332296951e-06, + "loss": 1.1131, + "step": 10613 + }, + { + "epoch": 0.31, + "learning_rate": 8.058004934330295e-06, + "loss": 0.7376, + "step": 10614 + }, + { + "epoch": 0.31, + "learning_rate": 8.057628508675803e-06, + "loss": 0.6749, + "step": 10615 + }, + { + "epoch": 0.31, + "learning_rate": 8.057252055336881e-06, + "loss": 0.6835, + "step": 10616 + }, + { + "epoch": 0.31, + "learning_rate": 8.056875574316943e-06, + "loss": 0.8364, + "step": 10617 + }, + { + "epoch": 0.31, + "learning_rate": 8.056499065619392e-06, + "loss": 0.8711, + "step": 10618 + }, + { + "epoch": 0.31, + "learning_rate": 8.05612252924764e-06, + "loss": 0.7668, + "step": 10619 + }, + { + "epoch": 0.31, + "learning_rate": 8.055745965205095e-06, + "loss": 0.6233, + "step": 10620 + }, + { + "epoch": 0.31, + "learning_rate": 8.055369373495168e-06, + "loss": 0.6747, + "step": 10621 + }, + { + "epoch": 0.31, + "learning_rate": 8.05499275412127e-06, + "loss": 0.7147, + "step": 10622 + }, + { + "epoch": 0.31, + "learning_rate": 8.054616107086804e-06, + "loss": 0.943, + "step": 10623 + }, + { + "epoch": 0.31, + "learning_rate": 8.054239432395188e-06, + "loss": 0.8615, + "step": 10624 + }, + { + "epoch": 0.31, + "learning_rate": 8.05386273004983e-06, + "loss": 0.8632, + "step": 10625 + }, + { + "epoch": 0.31, + "learning_rate": 8.053486000054139e-06, + "loss": 0.806, + "step": 10626 + }, + { + "epoch": 0.31, + "learning_rate": 8.053109242411528e-06, + "loss": 0.8145, + "step": 10627 + }, + { + "epoch": 0.31, + "learning_rate": 8.052732457125407e-06, + "loss": 0.9234, + "step": 10628 + }, + { + "epoch": 0.31, + "learning_rate": 8.052355644199188e-06, + "loss": 0.7779, + "step": 10629 + }, + { + "epoch": 0.31, + "learning_rate": 8.051978803636285e-06, + "loss": 0.6264, + "step": 10630 + }, + { + "epoch": 0.31, + "learning_rate": 8.051601935440106e-06, + "loss": 0.7906, + "step": 10631 + }, + { + "epoch": 0.31, + "learning_rate": 8.051225039614064e-06, + "loss": 0.9175, + "step": 10632 + }, + { + "epoch": 0.31, + "learning_rate": 8.050848116161574e-06, + "loss": 0.7348, + "step": 10633 + }, + { + "epoch": 0.31, + "learning_rate": 8.050471165086046e-06, + "loss": 0.9623, + "step": 10634 + }, + { + "epoch": 0.31, + "learning_rate": 8.050094186390897e-06, + "loss": 0.7775, + "step": 10635 + }, + { + "epoch": 0.31, + "learning_rate": 8.049717180079535e-06, + "loss": 0.7189, + "step": 10636 + }, + { + "epoch": 0.31, + "learning_rate": 8.049340146155378e-06, + "loss": 0.8848, + "step": 10637 + }, + { + "epoch": 0.31, + "learning_rate": 8.048963084621835e-06, + "loss": 0.8155, + "step": 10638 + }, + { + "epoch": 0.31, + "learning_rate": 8.048585995482326e-06, + "loss": 0.8142, + "step": 10639 + }, + { + "epoch": 0.31, + "learning_rate": 8.04820887874026e-06, + "loss": 0.6748, + "step": 10640 + }, + { + "epoch": 0.31, + "learning_rate": 8.047831734399054e-06, + "loss": 0.6905, + "step": 10641 + }, + { + "epoch": 0.31, + "learning_rate": 8.047454562462123e-06, + "loss": 0.761, + "step": 10642 + }, + { + "epoch": 0.31, + "learning_rate": 8.047077362932879e-06, + "loss": 0.7114, + "step": 10643 + }, + { + "epoch": 0.31, + "learning_rate": 8.04670013581474e-06, + "loss": 0.7521, + "step": 10644 + }, + { + "epoch": 0.31, + "learning_rate": 8.046322881111124e-06, + "loss": 0.8409, + "step": 10645 + }, + { + "epoch": 0.31, + "learning_rate": 8.045945598825441e-06, + "loss": 0.8398, + "step": 10646 + }, + { + "epoch": 0.31, + "learning_rate": 8.045568288961111e-06, + "loss": 0.8436, + "step": 10647 + }, + { + "epoch": 0.31, + "learning_rate": 8.045190951521547e-06, + "loss": 0.7866, + "step": 10648 + }, + { + "epoch": 0.31, + "learning_rate": 8.04481358651017e-06, + "loss": 0.728, + "step": 10649 + }, + { + "epoch": 0.31, + "learning_rate": 8.044436193930393e-06, + "loss": 0.8751, + "step": 10650 + }, + { + "epoch": 0.31, + "learning_rate": 8.044058773785634e-06, + "loss": 0.8131, + "step": 10651 + }, + { + "epoch": 0.31, + "learning_rate": 8.043681326079311e-06, + "loss": 0.682, + "step": 10652 + }, + { + "epoch": 0.31, + "learning_rate": 8.04330385081484e-06, + "loss": 0.6386, + "step": 10653 + }, + { + "epoch": 0.31, + "learning_rate": 8.042926347995641e-06, + "loss": 0.902, + "step": 10654 + }, + { + "epoch": 0.31, + "learning_rate": 8.042548817625132e-06, + "loss": 0.8793, + "step": 10655 + }, + { + "epoch": 0.31, + "learning_rate": 8.042171259706727e-06, + "loss": 0.6216, + "step": 10656 + }, + { + "epoch": 0.31, + "learning_rate": 8.04179367424385e-06, + "loss": 0.7036, + "step": 10657 + }, + { + "epoch": 0.31, + "learning_rate": 8.041416061239914e-06, + "loss": 0.5077, + "step": 10658 + }, + { + "epoch": 0.31, + "learning_rate": 8.041038420698343e-06, + "loss": 0.935, + "step": 10659 + }, + { + "epoch": 0.31, + "learning_rate": 8.040660752622555e-06, + "loss": 0.7041, + "step": 10660 + }, + { + "epoch": 0.31, + "learning_rate": 8.040283057015968e-06, + "loss": 0.8042, + "step": 10661 + }, + { + "epoch": 0.31, + "learning_rate": 8.039905333882001e-06, + "loss": 0.6347, + "step": 10662 + }, + { + "epoch": 0.31, + "learning_rate": 8.039527583224079e-06, + "loss": 0.6827, + "step": 10663 + }, + { + "epoch": 0.31, + "learning_rate": 8.039149805045617e-06, + "loss": 0.8755, + "step": 10664 + }, + { + "epoch": 0.31, + "learning_rate": 8.038771999350036e-06, + "loss": 0.7782, + "step": 10665 + }, + { + "epoch": 0.31, + "learning_rate": 8.038394166140762e-06, + "loss": 0.8053, + "step": 10666 + }, + { + "epoch": 0.31, + "learning_rate": 8.03801630542121e-06, + "loss": 0.8287, + "step": 10667 + }, + { + "epoch": 0.31, + "learning_rate": 8.0376384171948e-06, + "loss": 0.8619, + "step": 10668 + }, + { + "epoch": 0.31, + "learning_rate": 8.03726050146496e-06, + "loss": 0.901, + "step": 10669 + }, + { + "epoch": 0.31, + "learning_rate": 8.036882558235109e-06, + "loss": 0.9001, + "step": 10670 + }, + { + "epoch": 0.31, + "learning_rate": 8.036504587508669e-06, + "loss": 0.984, + "step": 10671 + }, + { + "epoch": 0.31, + "learning_rate": 8.03612658928906e-06, + "loss": 0.8347, + "step": 10672 + }, + { + "epoch": 0.31, + "learning_rate": 8.035748563579707e-06, + "loss": 0.7523, + "step": 10673 + }, + { + "epoch": 0.31, + "learning_rate": 8.035370510384031e-06, + "loss": 0.7179, + "step": 10674 + }, + { + "epoch": 0.31, + "learning_rate": 8.034992429705455e-06, + "loss": 0.8565, + "step": 10675 + }, + { + "epoch": 0.31, + "learning_rate": 8.034614321547404e-06, + "loss": 0.7662, + "step": 10676 + }, + { + "epoch": 0.31, + "learning_rate": 8.034236185913302e-06, + "loss": 0.8123, + "step": 10677 + }, + { + "epoch": 0.31, + "learning_rate": 8.033858022806568e-06, + "loss": 0.7299, + "step": 10678 + }, + { + "epoch": 0.31, + "learning_rate": 8.033479832230633e-06, + "loss": 0.784, + "step": 10679 + }, + { + "epoch": 0.31, + "learning_rate": 8.033101614188917e-06, + "loss": 0.8567, + "step": 10680 + }, + { + "epoch": 0.31, + "learning_rate": 8.032723368684842e-06, + "loss": 0.7926, + "step": 10681 + }, + { + "epoch": 0.31, + "learning_rate": 8.032345095721839e-06, + "loss": 0.9177, + "step": 10682 + }, + { + "epoch": 0.31, + "learning_rate": 8.031966795303328e-06, + "loss": 0.6383, + "step": 10683 + }, + { + "epoch": 0.31, + "learning_rate": 8.031588467432737e-06, + "loss": 0.9128, + "step": 10684 + }, + { + "epoch": 0.31, + "learning_rate": 8.031210112113489e-06, + "loss": 0.9921, + "step": 10685 + }, + { + "epoch": 0.31, + "learning_rate": 8.030831729349011e-06, + "loss": 0.9025, + "step": 10686 + }, + { + "epoch": 0.31, + "learning_rate": 8.030453319142728e-06, + "loss": 0.8625, + "step": 10687 + }, + { + "epoch": 0.31, + "learning_rate": 8.03007488149807e-06, + "loss": 0.827, + "step": 10688 + }, + { + "epoch": 0.31, + "learning_rate": 8.029696416418457e-06, + "loss": 0.6265, + "step": 10689 + }, + { + "epoch": 0.31, + "learning_rate": 8.029317923907322e-06, + "loss": 0.9347, + "step": 10690 + }, + { + "epoch": 0.31, + "learning_rate": 8.02893940396809e-06, + "loss": 0.6397, + "step": 10691 + }, + { + "epoch": 0.31, + "learning_rate": 8.028560856604186e-06, + "loss": 0.492, + "step": 10692 + }, + { + "epoch": 0.31, + "learning_rate": 8.028182281819039e-06, + "loss": 0.6553, + "step": 10693 + }, + { + "epoch": 0.31, + "learning_rate": 8.027803679616077e-06, + "loss": 0.7801, + "step": 10694 + }, + { + "epoch": 0.31, + "learning_rate": 8.027425049998729e-06, + "loss": 0.7196, + "step": 10695 + }, + { + "epoch": 0.31, + "learning_rate": 8.02704639297042e-06, + "loss": 0.7345, + "step": 10696 + }, + { + "epoch": 0.31, + "learning_rate": 8.026667708534578e-06, + "loss": 0.7889, + "step": 10697 + }, + { + "epoch": 0.31, + "learning_rate": 8.026288996694638e-06, + "loss": 0.9438, + "step": 10698 + }, + { + "epoch": 0.31, + "learning_rate": 8.025910257454024e-06, + "loss": 0.6666, + "step": 10699 + }, + { + "epoch": 0.31, + "learning_rate": 8.025531490816165e-06, + "loss": 0.5317, + "step": 10700 + }, + { + "epoch": 0.31, + "learning_rate": 8.025152696784492e-06, + "loss": 0.8127, + "step": 10701 + }, + { + "epoch": 0.31, + "learning_rate": 8.024773875362433e-06, + "loss": 0.5783, + "step": 10702 + }, + { + "epoch": 0.31, + "learning_rate": 8.02439502655342e-06, + "loss": 0.929, + "step": 10703 + }, + { + "epoch": 0.31, + "learning_rate": 8.024016150360883e-06, + "loss": 0.7718, + "step": 10704 + }, + { + "epoch": 0.31, + "learning_rate": 8.023637246788252e-06, + "loss": 0.974, + "step": 10705 + }, + { + "epoch": 0.31, + "learning_rate": 8.023258315838955e-06, + "loss": 0.6054, + "step": 10706 + }, + { + "epoch": 0.31, + "learning_rate": 8.022879357516427e-06, + "loss": 0.6941, + "step": 10707 + }, + { + "epoch": 0.31, + "learning_rate": 8.022500371824097e-06, + "loss": 0.8101, + "step": 10708 + }, + { + "epoch": 0.31, + "learning_rate": 8.022121358765397e-06, + "loss": 0.6715, + "step": 10709 + }, + { + "epoch": 0.31, + "learning_rate": 8.02174231834376e-06, + "loss": 0.686, + "step": 10710 + }, + { + "epoch": 0.31, + "learning_rate": 8.021363250562613e-06, + "loss": 0.7892, + "step": 10711 + }, + { + "epoch": 0.31, + "learning_rate": 8.020984155425394e-06, + "loss": 0.7476, + "step": 10712 + }, + { + "epoch": 0.31, + "learning_rate": 8.020605032935534e-06, + "loss": 0.7388, + "step": 10713 + }, + { + "epoch": 0.31, + "learning_rate": 8.020225883096463e-06, + "loss": 0.7877, + "step": 10714 + }, + { + "epoch": 0.31, + "learning_rate": 8.019846705911615e-06, + "loss": 0.7854, + "step": 10715 + }, + { + "epoch": 0.31, + "learning_rate": 8.019467501384426e-06, + "loss": 0.6819, + "step": 10716 + }, + { + "epoch": 0.31, + "learning_rate": 8.019088269518325e-06, + "loss": 0.5509, + "step": 10717 + }, + { + "epoch": 0.31, + "learning_rate": 8.018709010316749e-06, + "loss": 0.7449, + "step": 10718 + }, + { + "epoch": 0.31, + "learning_rate": 8.01832972378313e-06, + "loss": 0.7547, + "step": 10719 + }, + { + "epoch": 0.31, + "learning_rate": 8.017950409920902e-06, + "loss": 0.7668, + "step": 10720 + }, + { + "epoch": 0.31, + "learning_rate": 8.017571068733503e-06, + "loss": 0.676, + "step": 10721 + }, + { + "epoch": 0.31, + "learning_rate": 8.017191700224362e-06, + "loss": 0.6853, + "step": 10722 + }, + { + "epoch": 0.32, + "learning_rate": 8.01681230439692e-06, + "loss": 0.9676, + "step": 10723 + }, + { + "epoch": 0.32, + "learning_rate": 8.016432881254606e-06, + "loss": 0.8011, + "step": 10724 + }, + { + "epoch": 0.32, + "learning_rate": 8.016053430800858e-06, + "loss": 0.7733, + "step": 10725 + }, + { + "epoch": 0.32, + "learning_rate": 8.015673953039113e-06, + "loss": 0.6075, + "step": 10726 + }, + { + "epoch": 0.32, + "learning_rate": 8.015294447972806e-06, + "loss": 0.6558, + "step": 10727 + }, + { + "epoch": 0.32, + "learning_rate": 8.014914915605374e-06, + "loss": 0.7495, + "step": 10728 + }, + { + "epoch": 0.32, + "learning_rate": 8.014535355940251e-06, + "loss": 0.8435, + "step": 10729 + }, + { + "epoch": 0.32, + "learning_rate": 8.014155768980874e-06, + "loss": 0.8033, + "step": 10730 + }, + { + "epoch": 0.32, + "learning_rate": 8.013776154730682e-06, + "loss": 0.9229, + "step": 10731 + }, + { + "epoch": 0.32, + "learning_rate": 8.01339651319311e-06, + "loss": 0.6979, + "step": 10732 + }, + { + "epoch": 0.32, + "learning_rate": 8.013016844371597e-06, + "loss": 0.8935, + "step": 10733 + }, + { + "epoch": 0.32, + "learning_rate": 8.012637148269578e-06, + "loss": 0.8986, + "step": 10734 + }, + { + "epoch": 0.32, + "learning_rate": 8.012257424890495e-06, + "loss": 0.7799, + "step": 10735 + }, + { + "epoch": 0.32, + "learning_rate": 8.011877674237783e-06, + "loss": 0.6926, + "step": 10736 + }, + { + "epoch": 0.32, + "learning_rate": 8.011497896314879e-06, + "loss": 0.6365, + "step": 10737 + }, + { + "epoch": 0.32, + "learning_rate": 8.011118091125227e-06, + "loss": 0.7261, + "step": 10738 + }, + { + "epoch": 0.32, + "learning_rate": 8.01073825867226e-06, + "loss": 0.7294, + "step": 10739 + }, + { + "epoch": 0.32, + "learning_rate": 8.010358398959422e-06, + "loss": 0.5376, + "step": 10740 + }, + { + "epoch": 0.32, + "learning_rate": 8.009978511990147e-06, + "loss": 0.8351, + "step": 10741 + }, + { + "epoch": 0.32, + "learning_rate": 8.009598597767878e-06, + "loss": 0.8818, + "step": 10742 + }, + { + "epoch": 0.32, + "learning_rate": 8.009218656296056e-06, + "loss": 0.5464, + "step": 10743 + }, + { + "epoch": 0.32, + "learning_rate": 8.008838687578118e-06, + "loss": 0.8871, + "step": 10744 + }, + { + "epoch": 0.32, + "learning_rate": 8.008458691617507e-06, + "loss": 0.9016, + "step": 10745 + }, + { + "epoch": 0.32, + "learning_rate": 8.008078668417662e-06, + "loss": 0.7988, + "step": 10746 + }, + { + "epoch": 0.32, + "learning_rate": 8.007698617982022e-06, + "loss": 0.8483, + "step": 10747 + }, + { + "epoch": 0.32, + "learning_rate": 8.007318540314033e-06, + "loss": 0.7782, + "step": 10748 + }, + { + "epoch": 0.32, + "learning_rate": 8.006938435417133e-06, + "loss": 0.7619, + "step": 10749 + }, + { + "epoch": 0.32, + "learning_rate": 8.006558303294762e-06, + "loss": 0.6297, + "step": 10750 + }, + { + "epoch": 0.32, + "learning_rate": 8.006178143950366e-06, + "loss": 0.5705, + "step": 10751 + }, + { + "epoch": 0.32, + "learning_rate": 8.005797957387383e-06, + "loss": 0.7954, + "step": 10752 + }, + { + "epoch": 0.32, + "learning_rate": 8.005417743609258e-06, + "loss": 0.6471, + "step": 10753 + }, + { + "epoch": 0.32, + "learning_rate": 8.005037502619434e-06, + "loss": 0.5293, + "step": 10754 + }, + { + "epoch": 0.32, + "learning_rate": 8.004657234421351e-06, + "loss": 0.7753, + "step": 10755 + }, + { + "epoch": 0.32, + "learning_rate": 8.004276939018454e-06, + "loss": 0.6616, + "step": 10756 + }, + { + "epoch": 0.32, + "learning_rate": 8.003896616414186e-06, + "loss": 0.7484, + "step": 10757 + }, + { + "epoch": 0.32, + "learning_rate": 8.00351626661199e-06, + "loss": 0.9073, + "step": 10758 + }, + { + "epoch": 0.32, + "learning_rate": 8.00313588961531e-06, + "loss": 0.7606, + "step": 10759 + }, + { + "epoch": 0.32, + "learning_rate": 8.00275548542759e-06, + "loss": 0.8185, + "step": 10760 + }, + { + "epoch": 0.32, + "learning_rate": 8.002375054052274e-06, + "loss": 0.6618, + "step": 10761 + }, + { + "epoch": 0.32, + "learning_rate": 8.001994595492806e-06, + "loss": 0.796, + "step": 10762 + }, + { + "epoch": 0.32, + "learning_rate": 8.001614109752634e-06, + "loss": 0.7483, + "step": 10763 + }, + { + "epoch": 0.32, + "learning_rate": 8.001233596835199e-06, + "loss": 0.8607, + "step": 10764 + }, + { + "epoch": 0.32, + "learning_rate": 8.00085305674395e-06, + "loss": 0.5534, + "step": 10765 + }, + { + "epoch": 0.32, + "learning_rate": 8.000472489482326e-06, + "loss": 0.834, + "step": 10766 + }, + { + "epoch": 0.32, + "learning_rate": 8.000091895053781e-06, + "loss": 0.553, + "step": 10767 + }, + { + "epoch": 0.32, + "learning_rate": 7.999711273461755e-06, + "loss": 0.6082, + "step": 10768 + }, + { + "epoch": 0.32, + "learning_rate": 7.999330624709697e-06, + "loss": 0.8376, + "step": 10769 + }, + { + "epoch": 0.32, + "learning_rate": 7.998949948801054e-06, + "loss": 0.9617, + "step": 10770 + }, + { + "epoch": 0.32, + "learning_rate": 7.99856924573927e-06, + "loss": 0.9238, + "step": 10771 + }, + { + "epoch": 0.32, + "learning_rate": 7.998188515527794e-06, + "loss": 0.9781, + "step": 10772 + }, + { + "epoch": 0.32, + "learning_rate": 7.997807758170073e-06, + "loss": 0.7898, + "step": 10773 + }, + { + "epoch": 0.32, + "learning_rate": 7.997426973669553e-06, + "loss": 0.6645, + "step": 10774 + }, + { + "epoch": 0.32, + "learning_rate": 7.997046162029682e-06, + "loss": 0.6892, + "step": 10775 + }, + { + "epoch": 0.32, + "learning_rate": 7.996665323253912e-06, + "loss": 0.6322, + "step": 10776 + }, + { + "epoch": 0.32, + "learning_rate": 7.996284457345685e-06, + "loss": 0.4746, + "step": 10777 + }, + { + "epoch": 0.32, + "learning_rate": 7.995903564308454e-06, + "loss": 0.7544, + "step": 10778 + }, + { + "epoch": 0.32, + "learning_rate": 7.995522644145666e-06, + "loss": 0.6021, + "step": 10779 + }, + { + "epoch": 0.32, + "learning_rate": 7.99514169686077e-06, + "loss": 0.7064, + "step": 10780 + }, + { + "epoch": 0.32, + "learning_rate": 7.994760722457214e-06, + "loss": 0.7597, + "step": 10781 + }, + { + "epoch": 0.32, + "learning_rate": 7.99437972093845e-06, + "loss": 0.7179, + "step": 10782 + }, + { + "epoch": 0.32, + "learning_rate": 7.993998692307925e-06, + "loss": 0.5958, + "step": 10783 + }, + { + "epoch": 0.32, + "learning_rate": 7.993617636569093e-06, + "loss": 0.7607, + "step": 10784 + }, + { + "epoch": 0.32, + "learning_rate": 7.993236553725399e-06, + "loss": 0.5707, + "step": 10785 + }, + { + "epoch": 0.32, + "learning_rate": 7.992855443780296e-06, + "loss": 0.7627, + "step": 10786 + }, + { + "epoch": 0.32, + "learning_rate": 7.992474306737234e-06, + "loss": 0.6984, + "step": 10787 + }, + { + "epoch": 0.32, + "learning_rate": 7.992093142599665e-06, + "loss": 0.8689, + "step": 10788 + }, + { + "epoch": 0.32, + "learning_rate": 7.991711951371042e-06, + "loss": 1.1081, + "step": 10789 + }, + { + "epoch": 0.32, + "learning_rate": 7.991330733054811e-06, + "loss": 0.8578, + "step": 10790 + }, + { + "epoch": 0.32, + "learning_rate": 7.990949487654427e-06, + "loss": 0.6547, + "step": 10791 + }, + { + "epoch": 0.32, + "learning_rate": 7.990568215173342e-06, + "loss": 0.8455, + "step": 10792 + }, + { + "epoch": 0.32, + "learning_rate": 7.990186915615006e-06, + "loss": 0.6658, + "step": 10793 + }, + { + "epoch": 0.32, + "learning_rate": 7.989805588982874e-06, + "loss": 0.7359, + "step": 10794 + }, + { + "epoch": 0.32, + "learning_rate": 7.989424235280397e-06, + "loss": 0.7456, + "step": 10795 + }, + { + "epoch": 0.32, + "learning_rate": 7.98904285451103e-06, + "loss": 0.8937, + "step": 10796 + }, + { + "epoch": 0.32, + "learning_rate": 7.988661446678224e-06, + "loss": 0.9397, + "step": 10797 + }, + { + "epoch": 0.32, + "learning_rate": 7.98828001178543e-06, + "loss": 0.5216, + "step": 10798 + }, + { + "epoch": 0.32, + "learning_rate": 7.987898549836108e-06, + "loss": 0.8345, + "step": 10799 + }, + { + "epoch": 0.32, + "learning_rate": 7.987517060833706e-06, + "loss": 0.6449, + "step": 10800 + }, + { + "epoch": 0.32, + "learning_rate": 7.98713554478168e-06, + "loss": 0.7294, + "step": 10801 + }, + { + "epoch": 0.32, + "learning_rate": 7.986754001683485e-06, + "loss": 0.757, + "step": 10802 + }, + { + "epoch": 0.32, + "learning_rate": 7.986372431542577e-06, + "loss": 0.713, + "step": 10803 + }, + { + "epoch": 0.32, + "learning_rate": 7.985990834362407e-06, + "loss": 0.6656, + "step": 10804 + }, + { + "epoch": 0.32, + "learning_rate": 7.985609210146435e-06, + "loss": 0.7713, + "step": 10805 + }, + { + "epoch": 0.32, + "learning_rate": 7.98522755889811e-06, + "loss": 0.5703, + "step": 10806 + }, + { + "epoch": 0.32, + "learning_rate": 7.984845880620894e-06, + "loss": 0.7387, + "step": 10807 + }, + { + "epoch": 0.32, + "learning_rate": 7.984464175318237e-06, + "loss": 0.7831, + "step": 10808 + }, + { + "epoch": 0.32, + "learning_rate": 7.9840824429936e-06, + "loss": 0.6951, + "step": 10809 + }, + { + "epoch": 0.32, + "learning_rate": 7.983700683650435e-06, + "loss": 0.7367, + "step": 10810 + }, + { + "epoch": 0.32, + "learning_rate": 7.9833188972922e-06, + "loss": 0.8306, + "step": 10811 + }, + { + "epoch": 0.32, + "learning_rate": 7.982937083922355e-06, + "loss": 0.8459, + "step": 10812 + }, + { + "epoch": 0.32, + "learning_rate": 7.982555243544355e-06, + "loss": 1.0422, + "step": 10813 + }, + { + "epoch": 0.32, + "learning_rate": 7.982173376161654e-06, + "loss": 0.5559, + "step": 10814 + }, + { + "epoch": 0.32, + "learning_rate": 7.981791481777715e-06, + "loss": 0.7526, + "step": 10815 + }, + { + "epoch": 0.32, + "learning_rate": 7.981409560395989e-06, + "loss": 1.3411, + "step": 10816 + }, + { + "epoch": 0.32, + "learning_rate": 7.981027612019942e-06, + "loss": 0.4937, + "step": 10817 + }, + { + "epoch": 0.32, + "learning_rate": 7.980645636653025e-06, + "loss": 0.7631, + "step": 10818 + }, + { + "epoch": 0.32, + "learning_rate": 7.980263634298702e-06, + "loss": 0.9059, + "step": 10819 + }, + { + "epoch": 0.32, + "learning_rate": 7.979881604960429e-06, + "loss": 0.6897, + "step": 10820 + }, + { + "epoch": 0.32, + "learning_rate": 7.979499548641666e-06, + "loss": 0.8543, + "step": 10821 + }, + { + "epoch": 0.32, + "learning_rate": 7.979117465345869e-06, + "loss": 1.0707, + "step": 10822 + }, + { + "epoch": 0.32, + "learning_rate": 7.9787353550765e-06, + "loss": 0.753, + "step": 10823 + }, + { + "epoch": 0.32, + "learning_rate": 7.978353217837022e-06, + "loss": 0.7257, + "step": 10824 + }, + { + "epoch": 0.32, + "learning_rate": 7.97797105363089e-06, + "loss": 0.622, + "step": 10825 + }, + { + "epoch": 0.32, + "learning_rate": 7.977588862461568e-06, + "loss": 0.6372, + "step": 10826 + }, + { + "epoch": 0.32, + "learning_rate": 7.977206644332512e-06, + "loss": 0.8106, + "step": 10827 + }, + { + "epoch": 0.32, + "learning_rate": 7.976824399247184e-06, + "loss": 0.7888, + "step": 10828 + }, + { + "epoch": 0.32, + "learning_rate": 7.976442127209048e-06, + "loss": 0.6744, + "step": 10829 + }, + { + "epoch": 0.32, + "learning_rate": 7.976059828221563e-06, + "loss": 0.8339, + "step": 10830 + }, + { + "epoch": 0.32, + "learning_rate": 7.97567750228819e-06, + "loss": 0.9128, + "step": 10831 + }, + { + "epoch": 0.32, + "learning_rate": 7.975295149412391e-06, + "loss": 0.8425, + "step": 10832 + }, + { + "epoch": 0.32, + "learning_rate": 7.974912769597629e-06, + "loss": 0.7998, + "step": 10833 + }, + { + "epoch": 0.32, + "learning_rate": 7.974530362847366e-06, + "loss": 1.003, + "step": 10834 + }, + { + "epoch": 0.32, + "learning_rate": 7.97414792916506e-06, + "loss": 0.8674, + "step": 10835 + }, + { + "epoch": 0.32, + "learning_rate": 7.973765468554182e-06, + "loss": 1.0798, + "step": 10836 + }, + { + "epoch": 0.32, + "learning_rate": 7.973382981018189e-06, + "loss": 0.7839, + "step": 10837 + }, + { + "epoch": 0.32, + "learning_rate": 7.973000466560543e-06, + "loss": 0.5534, + "step": 10838 + }, + { + "epoch": 0.32, + "learning_rate": 7.972617925184712e-06, + "loss": 0.7676, + "step": 10839 + }, + { + "epoch": 0.32, + "learning_rate": 7.972235356894156e-06, + "loss": 0.5905, + "step": 10840 + }, + { + "epoch": 0.32, + "learning_rate": 7.971852761692341e-06, + "loss": 0.7148, + "step": 10841 + }, + { + "epoch": 0.32, + "learning_rate": 7.97147013958273e-06, + "loss": 0.6302, + "step": 10842 + }, + { + "epoch": 0.32, + "learning_rate": 7.971087490568788e-06, + "loss": 0.7514, + "step": 10843 + }, + { + "epoch": 0.32, + "learning_rate": 7.970704814653979e-06, + "loss": 0.7304, + "step": 10844 + }, + { + "epoch": 0.32, + "learning_rate": 7.970322111841767e-06, + "loss": 0.6266, + "step": 10845 + }, + { + "epoch": 0.32, + "learning_rate": 7.969939382135619e-06, + "loss": 0.6674, + "step": 10846 + }, + { + "epoch": 0.32, + "learning_rate": 7.969556625538999e-06, + "loss": 0.7721, + "step": 10847 + }, + { + "epoch": 0.32, + "learning_rate": 7.969173842055373e-06, + "loss": 0.6646, + "step": 10848 + }, + { + "epoch": 0.32, + "learning_rate": 7.968791031688208e-06, + "loss": 0.9485, + "step": 10849 + }, + { + "epoch": 0.32, + "learning_rate": 7.968408194440967e-06, + "loss": 0.8259, + "step": 10850 + }, + { + "epoch": 0.32, + "learning_rate": 7.968025330317119e-06, + "loss": 0.8852, + "step": 10851 + }, + { + "epoch": 0.32, + "learning_rate": 7.96764243932013e-06, + "loss": 0.5516, + "step": 10852 + }, + { + "epoch": 0.32, + "learning_rate": 7.967259521453466e-06, + "loss": 0.887, + "step": 10853 + }, + { + "epoch": 0.32, + "learning_rate": 7.966876576720594e-06, + "loss": 0.8246, + "step": 10854 + }, + { + "epoch": 0.32, + "learning_rate": 7.966493605124983e-06, + "loss": 0.7592, + "step": 10855 + }, + { + "epoch": 0.32, + "learning_rate": 7.966110606670098e-06, + "loss": 0.5333, + "step": 10856 + }, + { + "epoch": 0.32, + "learning_rate": 7.96572758135941e-06, + "loss": 0.7731, + "step": 10857 + }, + { + "epoch": 0.32, + "learning_rate": 7.965344529196384e-06, + "loss": 0.5385, + "step": 10858 + }, + { + "epoch": 0.32, + "learning_rate": 7.964961450184487e-06, + "loss": 0.7733, + "step": 10859 + }, + { + "epoch": 0.32, + "learning_rate": 7.964578344327192e-06, + "loss": 0.7029, + "step": 10860 + }, + { + "epoch": 0.32, + "learning_rate": 7.964195211627964e-06, + "loss": 0.6863, + "step": 10861 + }, + { + "epoch": 0.32, + "learning_rate": 7.963812052090274e-06, + "loss": 0.7346, + "step": 10862 + }, + { + "epoch": 0.32, + "learning_rate": 7.96342886571759e-06, + "loss": 0.7529, + "step": 10863 + }, + { + "epoch": 0.32, + "learning_rate": 7.963045652513384e-06, + "loss": 0.7319, + "step": 10864 + }, + { + "epoch": 0.32, + "learning_rate": 7.962662412481122e-06, + "loss": 0.9226, + "step": 10865 + }, + { + "epoch": 0.32, + "learning_rate": 7.962279145624277e-06, + "loss": 0.9614, + "step": 10866 + }, + { + "epoch": 0.32, + "learning_rate": 7.961895851946316e-06, + "loss": 0.8244, + "step": 10867 + }, + { + "epoch": 0.32, + "learning_rate": 7.961512531450714e-06, + "loss": 0.8883, + "step": 10868 + }, + { + "epoch": 0.32, + "learning_rate": 7.961129184140936e-06, + "loss": 0.7397, + "step": 10869 + }, + { + "epoch": 0.32, + "learning_rate": 7.960745810020456e-06, + "loss": 0.8277, + "step": 10870 + }, + { + "epoch": 0.32, + "learning_rate": 7.960362409092748e-06, + "loss": 0.8707, + "step": 10871 + }, + { + "epoch": 0.32, + "learning_rate": 7.959978981361278e-06, + "loss": 0.8598, + "step": 10872 + }, + { + "epoch": 0.32, + "learning_rate": 7.95959552682952e-06, + "loss": 0.6357, + "step": 10873 + }, + { + "epoch": 0.32, + "learning_rate": 7.959212045500947e-06, + "loss": 0.7857, + "step": 10874 + }, + { + "epoch": 0.32, + "learning_rate": 7.958828537379029e-06, + "loss": 0.8181, + "step": 10875 + }, + { + "epoch": 0.32, + "learning_rate": 7.95844500246724e-06, + "loss": 0.738, + "step": 10876 + }, + { + "epoch": 0.32, + "learning_rate": 7.958061440769052e-06, + "loss": 0.7511, + "step": 10877 + }, + { + "epoch": 0.32, + "learning_rate": 7.957677852287937e-06, + "loss": 0.7998, + "step": 10878 + }, + { + "epoch": 0.32, + "learning_rate": 7.95729423702737e-06, + "loss": 0.6449, + "step": 10879 + }, + { + "epoch": 0.32, + "learning_rate": 7.956910594990824e-06, + "loss": 0.9885, + "step": 10880 + }, + { + "epoch": 0.32, + "learning_rate": 7.95652692618177e-06, + "loss": 0.874, + "step": 10881 + }, + { + "epoch": 0.32, + "learning_rate": 7.956143230603686e-06, + "loss": 0.876, + "step": 10882 + }, + { + "epoch": 0.32, + "learning_rate": 7.955759508260042e-06, + "loss": 0.6129, + "step": 10883 + }, + { + "epoch": 0.32, + "learning_rate": 7.955375759154314e-06, + "loss": 0.8355, + "step": 10884 + }, + { + "epoch": 0.32, + "learning_rate": 7.954991983289975e-06, + "loss": 0.9951, + "step": 10885 + }, + { + "epoch": 0.32, + "learning_rate": 7.954608180670505e-06, + "loss": 0.7842, + "step": 10886 + }, + { + "epoch": 0.32, + "learning_rate": 7.954224351299373e-06, + "loss": 0.9533, + "step": 10887 + }, + { + "epoch": 0.32, + "learning_rate": 7.953840495180058e-06, + "loss": 0.5784, + "step": 10888 + }, + { + "epoch": 0.32, + "learning_rate": 7.953456612316032e-06, + "loss": 0.6134, + "step": 10889 + }, + { + "epoch": 0.32, + "learning_rate": 7.953072702710776e-06, + "loss": 0.834, + "step": 10890 + }, + { + "epoch": 0.32, + "learning_rate": 7.952688766367762e-06, + "loss": 0.6268, + "step": 10891 + }, + { + "epoch": 0.32, + "learning_rate": 7.952304803290468e-06, + "loss": 0.5703, + "step": 10892 + }, + { + "epoch": 0.32, + "learning_rate": 7.951920813482368e-06, + "loss": 0.7372, + "step": 10893 + }, + { + "epoch": 0.32, + "learning_rate": 7.951536796946939e-06, + "loss": 0.7927, + "step": 10894 + }, + { + "epoch": 0.32, + "learning_rate": 7.951152753687661e-06, + "loss": 0.8197, + "step": 10895 + }, + { + "epoch": 0.32, + "learning_rate": 7.950768683708011e-06, + "loss": 0.7746, + "step": 10896 + }, + { + "epoch": 0.32, + "learning_rate": 7.950384587011463e-06, + "loss": 0.7938, + "step": 10897 + }, + { + "epoch": 0.32, + "learning_rate": 7.9500004636015e-06, + "loss": 0.7861, + "step": 10898 + }, + { + "epoch": 0.32, + "learning_rate": 7.949616313481594e-06, + "loss": 0.7668, + "step": 10899 + }, + { + "epoch": 0.32, + "learning_rate": 7.949232136655225e-06, + "loss": 0.864, + "step": 10900 + }, + { + "epoch": 0.32, + "learning_rate": 7.948847933125873e-06, + "loss": 0.6966, + "step": 10901 + }, + { + "epoch": 0.32, + "learning_rate": 7.948463702897017e-06, + "loss": 0.5309, + "step": 10902 + }, + { + "epoch": 0.32, + "learning_rate": 7.948079445972136e-06, + "loss": 0.9196, + "step": 10903 + }, + { + "epoch": 0.32, + "learning_rate": 7.947695162354705e-06, + "loss": 0.9183, + "step": 10904 + }, + { + "epoch": 0.32, + "learning_rate": 7.947310852048207e-06, + "loss": 0.8837, + "step": 10905 + }, + { + "epoch": 0.32, + "learning_rate": 7.946926515056123e-06, + "loss": 0.7343, + "step": 10906 + }, + { + "epoch": 0.32, + "learning_rate": 7.946542151381929e-06, + "loss": 0.7698, + "step": 10907 + }, + { + "epoch": 0.32, + "learning_rate": 7.946157761029109e-06, + "loss": 0.6496, + "step": 10908 + }, + { + "epoch": 0.32, + "learning_rate": 7.94577334400114e-06, + "loss": 0.6364, + "step": 10909 + }, + { + "epoch": 0.32, + "learning_rate": 7.945388900301503e-06, + "loss": 0.6607, + "step": 10910 + }, + { + "epoch": 0.32, + "learning_rate": 7.94500442993368e-06, + "loss": 0.5177, + "step": 10911 + }, + { + "epoch": 0.32, + "learning_rate": 7.944619932901155e-06, + "loss": 0.6804, + "step": 10912 + }, + { + "epoch": 0.32, + "learning_rate": 7.944235409207402e-06, + "loss": 0.9061, + "step": 10913 + }, + { + "epoch": 0.32, + "learning_rate": 7.943850858855908e-06, + "loss": 0.8518, + "step": 10914 + }, + { + "epoch": 0.32, + "learning_rate": 7.943466281850154e-06, + "loss": 0.7424, + "step": 10915 + }, + { + "epoch": 0.32, + "learning_rate": 7.94308167819362e-06, + "loss": 0.7415, + "step": 10916 + }, + { + "epoch": 0.32, + "learning_rate": 7.942697047889794e-06, + "loss": 0.9073, + "step": 10917 + }, + { + "epoch": 0.32, + "learning_rate": 7.942312390942151e-06, + "loss": 0.7149, + "step": 10918 + }, + { + "epoch": 0.32, + "learning_rate": 7.941927707354178e-06, + "loss": 0.6203, + "step": 10919 + }, + { + "epoch": 0.32, + "learning_rate": 7.941542997129357e-06, + "loss": 0.7866, + "step": 10920 + }, + { + "epoch": 0.32, + "learning_rate": 7.941158260271171e-06, + "loss": 0.7891, + "step": 10921 + }, + { + "epoch": 0.32, + "learning_rate": 7.940773496783106e-06, + "loss": 0.7802, + "step": 10922 + }, + { + "epoch": 0.32, + "learning_rate": 7.94038870666864e-06, + "loss": 0.6669, + "step": 10923 + }, + { + "epoch": 0.32, + "learning_rate": 7.940003889931263e-06, + "loss": 0.9431, + "step": 10924 + }, + { + "epoch": 0.32, + "learning_rate": 7.939619046574457e-06, + "loss": 0.7724, + "step": 10925 + }, + { + "epoch": 0.32, + "learning_rate": 7.939234176601706e-06, + "loss": 0.8217, + "step": 10926 + }, + { + "epoch": 0.32, + "learning_rate": 7.938849280016494e-06, + "loss": 0.8204, + "step": 10927 + }, + { + "epoch": 0.32, + "learning_rate": 7.938464356822309e-06, + "loss": 0.8535, + "step": 10928 + }, + { + "epoch": 0.32, + "learning_rate": 7.938079407022632e-06, + "loss": 0.6666, + "step": 10929 + }, + { + "epoch": 0.32, + "learning_rate": 7.937694430620951e-06, + "loss": 0.7869, + "step": 10930 + }, + { + "epoch": 0.32, + "learning_rate": 7.937309427620752e-06, + "loss": 0.8072, + "step": 10931 + }, + { + "epoch": 0.32, + "learning_rate": 7.93692439802552e-06, + "loss": 0.8025, + "step": 10932 + }, + { + "epoch": 0.32, + "learning_rate": 7.936539341838741e-06, + "loss": 0.679, + "step": 10933 + }, + { + "epoch": 0.32, + "learning_rate": 7.9361542590639e-06, + "loss": 0.8814, + "step": 10934 + }, + { + "epoch": 0.32, + "learning_rate": 7.935769149704486e-06, + "loss": 0.6389, + "step": 10935 + }, + { + "epoch": 0.32, + "learning_rate": 7.935384013763985e-06, + "loss": 0.8295, + "step": 10936 + }, + { + "epoch": 0.32, + "learning_rate": 7.934998851245885e-06, + "loss": 0.9539, + "step": 10937 + }, + { + "epoch": 0.32, + "learning_rate": 7.934613662153672e-06, + "loss": 0.882, + "step": 10938 + }, + { + "epoch": 0.32, + "learning_rate": 7.934228446490836e-06, + "loss": 1.065, + "step": 10939 + }, + { + "epoch": 0.32, + "learning_rate": 7.93384320426086e-06, + "loss": 0.8573, + "step": 10940 + }, + { + "epoch": 0.32, + "learning_rate": 7.933457935467238e-06, + "loss": 1.0995, + "step": 10941 + }, + { + "epoch": 0.32, + "learning_rate": 7.933072640113453e-06, + "loss": 0.5622, + "step": 10942 + }, + { + "epoch": 0.32, + "learning_rate": 7.932687318202996e-06, + "loss": 0.7436, + "step": 10943 + }, + { + "epoch": 0.32, + "learning_rate": 7.932301969739356e-06, + "loss": 0.626, + "step": 10944 + }, + { + "epoch": 0.32, + "learning_rate": 7.931916594726022e-06, + "loss": 0.6745, + "step": 10945 + }, + { + "epoch": 0.32, + "learning_rate": 7.931531193166482e-06, + "loss": 0.6419, + "step": 10946 + }, + { + "epoch": 0.32, + "learning_rate": 7.931145765064226e-06, + "loss": 0.8886, + "step": 10947 + }, + { + "epoch": 0.32, + "learning_rate": 7.930760310422745e-06, + "loss": 0.6885, + "step": 10948 + }, + { + "epoch": 0.32, + "learning_rate": 7.930374829245528e-06, + "loss": 0.8243, + "step": 10949 + }, + { + "epoch": 0.32, + "learning_rate": 7.929989321536067e-06, + "loss": 0.736, + "step": 10950 + }, + { + "epoch": 0.32, + "learning_rate": 7.92960378729785e-06, + "loss": 0.7937, + "step": 10951 + }, + { + "epoch": 0.32, + "learning_rate": 7.929218226534369e-06, + "loss": 0.8056, + "step": 10952 + }, + { + "epoch": 0.32, + "learning_rate": 7.928832639249113e-06, + "loss": 0.6291, + "step": 10953 + }, + { + "epoch": 0.32, + "learning_rate": 7.928447025445577e-06, + "loss": 0.535, + "step": 10954 + }, + { + "epoch": 0.32, + "learning_rate": 7.928061385127248e-06, + "loss": 0.9412, + "step": 10955 + }, + { + "epoch": 0.32, + "learning_rate": 7.92767571829762e-06, + "loss": 0.7558, + "step": 10956 + }, + { + "epoch": 0.32, + "learning_rate": 7.927290024960186e-06, + "loss": 0.8303, + "step": 10957 + }, + { + "epoch": 0.32, + "learning_rate": 7.926904305118435e-06, + "loss": 0.7342, + "step": 10958 + }, + { + "epoch": 0.32, + "learning_rate": 7.926518558775864e-06, + "loss": 0.8274, + "step": 10959 + }, + { + "epoch": 0.32, + "learning_rate": 7.92613278593596e-06, + "loss": 0.7957, + "step": 10960 + }, + { + "epoch": 0.32, + "learning_rate": 7.92574698660222e-06, + "loss": 0.5669, + "step": 10961 + }, + { + "epoch": 0.32, + "learning_rate": 7.925361160778138e-06, + "loss": 0.6589, + "step": 10962 + }, + { + "epoch": 0.32, + "learning_rate": 7.924975308467201e-06, + "loss": 0.8487, + "step": 10963 + }, + { + "epoch": 0.32, + "learning_rate": 7.92458942967291e-06, + "loss": 0.7783, + "step": 10964 + }, + { + "epoch": 0.32, + "learning_rate": 7.924203524398754e-06, + "loss": 0.7991, + "step": 10965 + }, + { + "epoch": 0.32, + "learning_rate": 7.923817592648231e-06, + "loss": 0.6972, + "step": 10966 + }, + { + "epoch": 0.32, + "learning_rate": 7.923431634424832e-06, + "loss": 0.7539, + "step": 10967 + }, + { + "epoch": 0.32, + "learning_rate": 7.92304564973205e-06, + "loss": 0.8135, + "step": 10968 + }, + { + "epoch": 0.32, + "learning_rate": 7.922659638573386e-06, + "loss": 0.7548, + "step": 10969 + }, + { + "epoch": 0.32, + "learning_rate": 7.92227360095233e-06, + "loss": 0.8977, + "step": 10970 + }, + { + "epoch": 0.32, + "learning_rate": 7.92188753687238e-06, + "loss": 0.7675, + "step": 10971 + }, + { + "epoch": 0.32, + "learning_rate": 7.921501446337028e-06, + "loss": 0.7735, + "step": 10972 + }, + { + "epoch": 0.32, + "learning_rate": 7.921115329349772e-06, + "loss": 0.7091, + "step": 10973 + }, + { + "epoch": 0.32, + "learning_rate": 7.92072918591411e-06, + "loss": 0.5696, + "step": 10974 + }, + { + "epoch": 0.32, + "learning_rate": 7.920343016033534e-06, + "loss": 0.6573, + "step": 10975 + }, + { + "epoch": 0.32, + "learning_rate": 7.919956819711542e-06, + "loss": 0.5671, + "step": 10976 + }, + { + "epoch": 0.32, + "learning_rate": 7.919570596951634e-06, + "loss": 0.824, + "step": 10977 + }, + { + "epoch": 0.32, + "learning_rate": 7.919184347757303e-06, + "loss": 0.8914, + "step": 10978 + }, + { + "epoch": 0.32, + "learning_rate": 7.918798072132047e-06, + "loss": 0.9887, + "step": 10979 + }, + { + "epoch": 0.32, + "learning_rate": 7.918411770079366e-06, + "loss": 0.7543, + "step": 10980 + }, + { + "epoch": 0.32, + "learning_rate": 7.918025441602754e-06, + "loss": 0.71, + "step": 10981 + }, + { + "epoch": 0.32, + "learning_rate": 7.917639086705711e-06, + "loss": 0.6904, + "step": 10982 + }, + { + "epoch": 0.32, + "learning_rate": 7.917252705391732e-06, + "loss": 0.483, + "step": 10983 + }, + { + "epoch": 0.32, + "learning_rate": 7.91686629766432e-06, + "loss": 0.8096, + "step": 10984 + }, + { + "epoch": 0.32, + "learning_rate": 7.916479863526971e-06, + "loss": 0.9591, + "step": 10985 + }, + { + "epoch": 0.32, + "learning_rate": 7.916093402983187e-06, + "loss": 0.9546, + "step": 10986 + }, + { + "epoch": 0.32, + "learning_rate": 7.91570691603646e-06, + "loss": 0.7747, + "step": 10987 + }, + { + "epoch": 0.32, + "learning_rate": 7.915320402690297e-06, + "loss": 0.6481, + "step": 10988 + }, + { + "epoch": 0.32, + "learning_rate": 7.914933862948195e-06, + "loss": 0.8225, + "step": 10989 + }, + { + "epoch": 0.32, + "learning_rate": 7.91454729681365e-06, + "loss": 0.8254, + "step": 10990 + }, + { + "epoch": 0.32, + "learning_rate": 7.914160704290167e-06, + "loss": 0.5698, + "step": 10991 + }, + { + "epoch": 0.32, + "learning_rate": 7.913774085381247e-06, + "loss": 0.9171, + "step": 10992 + }, + { + "epoch": 0.32, + "learning_rate": 7.913387440090385e-06, + "loss": 0.65, + "step": 10993 + }, + { + "epoch": 0.32, + "learning_rate": 7.913000768421087e-06, + "loss": 0.7769, + "step": 10994 + }, + { + "epoch": 0.32, + "learning_rate": 7.91261407037685e-06, + "loss": 0.6898, + "step": 10995 + }, + { + "epoch": 0.32, + "learning_rate": 7.912227345961177e-06, + "loss": 0.8242, + "step": 10996 + }, + { + "epoch": 0.32, + "learning_rate": 7.91184059517757e-06, + "loss": 0.9136, + "step": 10997 + }, + { + "epoch": 0.32, + "learning_rate": 7.911453818029531e-06, + "loss": 0.7245, + "step": 10998 + }, + { + "epoch": 0.32, + "learning_rate": 7.911067014520561e-06, + "loss": 0.9069, + "step": 10999 + }, + { + "epoch": 0.32, + "learning_rate": 7.910680184654164e-06, + "loss": 0.8622, + "step": 11000 + }, + { + "epoch": 0.32, + "learning_rate": 7.91029332843384e-06, + "loss": 0.827, + "step": 11001 + }, + { + "epoch": 0.32, + "learning_rate": 7.909906445863093e-06, + "loss": 0.9374, + "step": 11002 + }, + { + "epoch": 0.32, + "learning_rate": 7.909519536945423e-06, + "loss": 0.8244, + "step": 11003 + }, + { + "epoch": 0.32, + "learning_rate": 7.909132601684338e-06, + "loss": 1.0019, + "step": 11004 + }, + { + "epoch": 0.32, + "learning_rate": 7.90874564008334e-06, + "loss": 1.045, + "step": 11005 + }, + { + "epoch": 0.32, + "learning_rate": 7.90835865214593e-06, + "loss": 0.9476, + "step": 11006 + }, + { + "epoch": 0.32, + "learning_rate": 7.907971637875615e-06, + "loss": 0.751, + "step": 11007 + }, + { + "epoch": 0.32, + "learning_rate": 7.907584597275896e-06, + "loss": 0.7488, + "step": 11008 + }, + { + "epoch": 0.32, + "learning_rate": 7.90719753035028e-06, + "loss": 0.7177, + "step": 11009 + }, + { + "epoch": 0.32, + "learning_rate": 7.90681043710227e-06, + "loss": 0.7411, + "step": 11010 + }, + { + "epoch": 0.32, + "learning_rate": 7.906423317535373e-06, + "loss": 0.7565, + "step": 11011 + }, + { + "epoch": 0.32, + "learning_rate": 7.90603617165309e-06, + "loss": 0.5265, + "step": 11012 + }, + { + "epoch": 0.32, + "learning_rate": 7.905648999458932e-06, + "loss": 0.5611, + "step": 11013 + }, + { + "epoch": 0.32, + "learning_rate": 7.9052618009564e-06, + "loss": 0.8104, + "step": 11014 + }, + { + "epoch": 0.32, + "learning_rate": 7.904874576149002e-06, + "loss": 0.8271, + "step": 11015 + }, + { + "epoch": 0.32, + "learning_rate": 7.904487325040242e-06, + "loss": 0.8499, + "step": 11016 + }, + { + "epoch": 0.32, + "learning_rate": 7.904100047633627e-06, + "loss": 0.6501, + "step": 11017 + }, + { + "epoch": 0.32, + "learning_rate": 7.903712743932666e-06, + "loss": 0.8734, + "step": 11018 + }, + { + "epoch": 0.32, + "learning_rate": 7.903325413940862e-06, + "loss": 0.8074, + "step": 11019 + }, + { + "epoch": 0.32, + "learning_rate": 7.902938057661725e-06, + "loss": 0.718, + "step": 11020 + }, + { + "epoch": 0.32, + "learning_rate": 7.902550675098758e-06, + "loss": 0.7885, + "step": 11021 + }, + { + "epoch": 0.32, + "learning_rate": 7.902163266255473e-06, + "loss": 0.6895, + "step": 11022 + }, + { + "epoch": 0.32, + "learning_rate": 7.901775831135378e-06, + "loss": 0.5489, + "step": 11023 + }, + { + "epoch": 0.32, + "learning_rate": 7.901388369741976e-06, + "loss": 0.5499, + "step": 11024 + }, + { + "epoch": 0.32, + "learning_rate": 7.901000882078779e-06, + "loss": 0.6513, + "step": 11025 + }, + { + "epoch": 0.32, + "learning_rate": 7.900613368149295e-06, + "loss": 0.8968, + "step": 11026 + }, + { + "epoch": 0.32, + "learning_rate": 7.900225827957033e-06, + "loss": 0.6592, + "step": 11027 + }, + { + "epoch": 0.32, + "learning_rate": 7.899838261505499e-06, + "loss": 0.6551, + "step": 11028 + }, + { + "epoch": 0.32, + "learning_rate": 7.899450668798205e-06, + "loss": 0.884, + "step": 11029 + }, + { + "epoch": 0.32, + "learning_rate": 7.89906304983866e-06, + "loss": 0.7373, + "step": 11030 + }, + { + "epoch": 0.32, + "learning_rate": 7.89867540463037e-06, + "loss": 0.769, + "step": 11031 + }, + { + "epoch": 0.32, + "learning_rate": 7.898287733176852e-06, + "loss": 0.8256, + "step": 11032 + }, + { + "epoch": 0.32, + "learning_rate": 7.89790003548161e-06, + "loss": 0.846, + "step": 11033 + }, + { + "epoch": 0.32, + "learning_rate": 7.897512311548157e-06, + "loss": 0.8791, + "step": 11034 + }, + { + "epoch": 0.32, + "learning_rate": 7.89712456138e-06, + "loss": 0.5919, + "step": 11035 + }, + { + "epoch": 0.32, + "learning_rate": 7.896736784980657e-06, + "loss": 0.7024, + "step": 11036 + }, + { + "epoch": 0.32, + "learning_rate": 7.89634898235363e-06, + "loss": 0.7174, + "step": 11037 + }, + { + "epoch": 0.32, + "learning_rate": 7.895961153502437e-06, + "loss": 0.7652, + "step": 11038 + }, + { + "epoch": 0.32, + "learning_rate": 7.895573298430587e-06, + "loss": 0.7442, + "step": 11039 + }, + { + "epoch": 0.32, + "learning_rate": 7.895185417141593e-06, + "loss": 0.6688, + "step": 11040 + }, + { + "epoch": 0.32, + "learning_rate": 7.894797509638965e-06, + "loss": 1.0862, + "step": 11041 + }, + { + "epoch": 0.32, + "learning_rate": 7.894409575926215e-06, + "loss": 0.7377, + "step": 11042 + }, + { + "epoch": 0.32, + "learning_rate": 7.894021616006857e-06, + "loss": 0.8546, + "step": 11043 + }, + { + "epoch": 0.32, + "learning_rate": 7.893633629884405e-06, + "loss": 0.7889, + "step": 11044 + }, + { + "epoch": 0.32, + "learning_rate": 7.893245617562368e-06, + "loss": 0.7866, + "step": 11045 + }, + { + "epoch": 0.32, + "learning_rate": 7.892857579044265e-06, + "loss": 0.9366, + "step": 11046 + }, + { + "epoch": 0.32, + "learning_rate": 7.892469514333601e-06, + "loss": 0.7367, + "step": 11047 + }, + { + "epoch": 0.32, + "learning_rate": 7.892081423433896e-06, + "loss": 0.765, + "step": 11048 + }, + { + "epoch": 0.32, + "learning_rate": 7.891693306348663e-06, + "loss": 0.9765, + "step": 11049 + }, + { + "epoch": 0.32, + "learning_rate": 7.891305163081415e-06, + "loss": 0.7062, + "step": 11050 + }, + { + "epoch": 0.32, + "learning_rate": 7.890916993635666e-06, + "loss": 0.9277, + "step": 11051 + }, + { + "epoch": 0.32, + "learning_rate": 7.890528798014932e-06, + "loss": 0.6659, + "step": 11052 + }, + { + "epoch": 0.32, + "learning_rate": 7.890140576222726e-06, + "loss": 0.7686, + "step": 11053 + }, + { + "epoch": 0.32, + "learning_rate": 7.889752328262564e-06, + "loss": 0.7528, + "step": 11054 + }, + { + "epoch": 0.32, + "learning_rate": 7.889364054137963e-06, + "loss": 0.6662, + "step": 11055 + }, + { + "epoch": 0.32, + "learning_rate": 7.888975753852435e-06, + "loss": 0.806, + "step": 11056 + }, + { + "epoch": 0.32, + "learning_rate": 7.888587427409497e-06, + "loss": 0.7328, + "step": 11057 + }, + { + "epoch": 0.32, + "learning_rate": 7.888199074812666e-06, + "loss": 0.6074, + "step": 11058 + }, + { + "epoch": 0.32, + "learning_rate": 7.88781069606546e-06, + "loss": 0.744, + "step": 11059 + }, + { + "epoch": 0.32, + "learning_rate": 7.887422291171391e-06, + "loss": 0.5401, + "step": 11060 + }, + { + "epoch": 0.32, + "learning_rate": 7.88703386013398e-06, + "loss": 0.775, + "step": 11061 + }, + { + "epoch": 0.32, + "learning_rate": 7.886645402956739e-06, + "loss": 0.9213, + "step": 11062 + }, + { + "epoch": 0.33, + "learning_rate": 7.88625691964319e-06, + "loss": 0.779, + "step": 11063 + }, + { + "epoch": 0.33, + "learning_rate": 7.88586841019685e-06, + "loss": 0.6634, + "step": 11064 + }, + { + "epoch": 0.33, + "learning_rate": 7.885479874621232e-06, + "loss": 0.6572, + "step": 11065 + }, + { + "epoch": 0.33, + "learning_rate": 7.88509131291986e-06, + "loss": 0.7593, + "step": 11066 + }, + { + "epoch": 0.33, + "learning_rate": 7.884702725096246e-06, + "loss": 0.8778, + "step": 11067 + }, + { + "epoch": 0.33, + "learning_rate": 7.884314111153913e-06, + "loss": 0.5882, + "step": 11068 + }, + { + "epoch": 0.33, + "learning_rate": 7.883925471096377e-06, + "loss": 0.7663, + "step": 11069 + }, + { + "epoch": 0.33, + "learning_rate": 7.883536804927158e-06, + "loss": 0.6791, + "step": 11070 + }, + { + "epoch": 0.33, + "learning_rate": 7.883148112649778e-06, + "loss": 0.5018, + "step": 11071 + }, + { + "epoch": 0.33, + "learning_rate": 7.88275939426775e-06, + "loss": 0.7115, + "step": 11072 + }, + { + "epoch": 0.33, + "learning_rate": 7.882370649784599e-06, + "loss": 0.7249, + "step": 11073 + }, + { + "epoch": 0.33, + "learning_rate": 7.881981879203841e-06, + "loss": 0.9465, + "step": 11074 + }, + { + "epoch": 0.33, + "learning_rate": 7.881593082528998e-06, + "loss": 0.8122, + "step": 11075 + }, + { + "epoch": 0.33, + "learning_rate": 7.881204259763591e-06, + "loss": 0.5558, + "step": 11076 + }, + { + "epoch": 0.33, + "learning_rate": 7.880815410911138e-06, + "loss": 0.4948, + "step": 11077 + }, + { + "epoch": 0.33, + "learning_rate": 7.88042653597516e-06, + "loss": 0.7546, + "step": 11078 + }, + { + "epoch": 0.33, + "learning_rate": 7.88003763495918e-06, + "loss": 0.8494, + "step": 11079 + }, + { + "epoch": 0.33, + "learning_rate": 7.879648707866721e-06, + "loss": 0.5627, + "step": 11080 + }, + { + "epoch": 0.33, + "learning_rate": 7.879259754701298e-06, + "loss": 0.7809, + "step": 11081 + }, + { + "epoch": 0.33, + "learning_rate": 7.878870775466439e-06, + "loss": 0.83, + "step": 11082 + }, + { + "epoch": 0.33, + "learning_rate": 7.878481770165662e-06, + "loss": 0.9477, + "step": 11083 + }, + { + "epoch": 0.33, + "learning_rate": 7.878092738802489e-06, + "loss": 0.8455, + "step": 11084 + }, + { + "epoch": 0.33, + "learning_rate": 7.877703681380446e-06, + "loss": 0.5289, + "step": 11085 + }, + { + "epoch": 0.33, + "learning_rate": 7.877314597903053e-06, + "loss": 0.8761, + "step": 11086 + }, + { + "epoch": 0.33, + "learning_rate": 7.876925488373833e-06, + "loss": 0.7496, + "step": 11087 + }, + { + "epoch": 0.33, + "learning_rate": 7.876536352796307e-06, + "loss": 0.8673, + "step": 11088 + }, + { + "epoch": 0.33, + "learning_rate": 7.876147191174002e-06, + "loss": 0.6358, + "step": 11089 + }, + { + "epoch": 0.33, + "learning_rate": 7.875758003510442e-06, + "loss": 0.7697, + "step": 11090 + }, + { + "epoch": 0.33, + "learning_rate": 7.875368789809146e-06, + "loss": 0.5064, + "step": 11091 + }, + { + "epoch": 0.33, + "learning_rate": 7.874979550073644e-06, + "loss": 0.9888, + "step": 11092 + }, + { + "epoch": 0.33, + "learning_rate": 7.874590284307456e-06, + "loss": 0.8957, + "step": 11093 + }, + { + "epoch": 0.33, + "learning_rate": 7.874200992514107e-06, + "loss": 0.6718, + "step": 11094 + }, + { + "epoch": 0.33, + "learning_rate": 7.873811674697122e-06, + "loss": 0.8446, + "step": 11095 + }, + { + "epoch": 0.33, + "learning_rate": 7.873422330860027e-06, + "loss": 0.8897, + "step": 11096 + }, + { + "epoch": 0.33, + "learning_rate": 7.873032961006348e-06, + "loss": 0.5512, + "step": 11097 + }, + { + "epoch": 0.33, + "learning_rate": 7.872643565139607e-06, + "loss": 0.6558, + "step": 11098 + }, + { + "epoch": 0.33, + "learning_rate": 7.872254143263334e-06, + "loss": 0.7548, + "step": 11099 + }, + { + "epoch": 0.33, + "learning_rate": 7.87186469538105e-06, + "loss": 0.7681, + "step": 11100 + }, + { + "epoch": 0.33, + "learning_rate": 7.871475221496286e-06, + "loss": 0.4779, + "step": 11101 + }, + { + "epoch": 0.33, + "learning_rate": 7.871085721612564e-06, + "loss": 0.7887, + "step": 11102 + }, + { + "epoch": 0.33, + "learning_rate": 7.870696195733413e-06, + "loss": 0.4769, + "step": 11103 + }, + { + "epoch": 0.33, + "learning_rate": 7.870306643862362e-06, + "loss": 0.6825, + "step": 11104 + }, + { + "epoch": 0.33, + "learning_rate": 7.869917066002934e-06, + "loss": 0.6887, + "step": 11105 + }, + { + "epoch": 0.33, + "learning_rate": 7.869527462158657e-06, + "loss": 0.7285, + "step": 11106 + }, + { + "epoch": 0.33, + "learning_rate": 7.869137832333063e-06, + "loss": 1.0494, + "step": 11107 + }, + { + "epoch": 0.33, + "learning_rate": 7.868748176529673e-06, + "loss": 0.6696, + "step": 11108 + }, + { + "epoch": 0.33, + "learning_rate": 7.86835849475202e-06, + "loss": 0.8461, + "step": 11109 + }, + { + "epoch": 0.33, + "learning_rate": 7.86796878700363e-06, + "loss": 0.8649, + "step": 11110 + }, + { + "epoch": 0.33, + "learning_rate": 7.867579053288032e-06, + "loss": 0.52, + "step": 11111 + }, + { + "epoch": 0.33, + "learning_rate": 7.867189293608756e-06, + "loss": 0.6838, + "step": 11112 + }, + { + "epoch": 0.33, + "learning_rate": 7.86679950796933e-06, + "loss": 0.7141, + "step": 11113 + }, + { + "epoch": 0.33, + "learning_rate": 7.866409696373283e-06, + "loss": 0.8164, + "step": 11114 + }, + { + "epoch": 0.33, + "learning_rate": 7.866019858824143e-06, + "loss": 0.8153, + "step": 11115 + }, + { + "epoch": 0.33, + "learning_rate": 7.865629995325442e-06, + "loss": 0.8477, + "step": 11116 + }, + { + "epoch": 0.33, + "learning_rate": 7.865240105880709e-06, + "loss": 0.787, + "step": 11117 + }, + { + "epoch": 0.33, + "learning_rate": 7.864850190493476e-06, + "loss": 0.7403, + "step": 11118 + }, + { + "epoch": 0.33, + "learning_rate": 7.864460249167269e-06, + "loss": 0.852, + "step": 11119 + }, + { + "epoch": 0.33, + "learning_rate": 7.864070281905622e-06, + "loss": 0.669, + "step": 11120 + }, + { + "epoch": 0.33, + "learning_rate": 7.863680288712065e-06, + "loss": 0.7767, + "step": 11121 + }, + { + "epoch": 0.33, + "learning_rate": 7.863290269590132e-06, + "loss": 0.4701, + "step": 11122 + }, + { + "epoch": 0.33, + "learning_rate": 7.862900224543348e-06, + "loss": 0.7857, + "step": 11123 + }, + { + "epoch": 0.33, + "learning_rate": 7.86251015357525e-06, + "loss": 0.8078, + "step": 11124 + }, + { + "epoch": 0.33, + "learning_rate": 7.862120056689366e-06, + "loss": 0.6894, + "step": 11125 + }, + { + "epoch": 0.33, + "learning_rate": 7.861729933889231e-06, + "loss": 0.9592, + "step": 11126 + }, + { + "epoch": 0.33, + "learning_rate": 7.861339785178375e-06, + "loss": 0.3502, + "step": 11127 + }, + { + "epoch": 0.33, + "learning_rate": 7.860949610560334e-06, + "loss": 0.5179, + "step": 11128 + }, + { + "epoch": 0.33, + "learning_rate": 7.860559410038635e-06, + "loss": 0.6281, + "step": 11129 + }, + { + "epoch": 0.33, + "learning_rate": 7.860169183616817e-06, + "loss": 0.7809, + "step": 11130 + }, + { + "epoch": 0.33, + "learning_rate": 7.85977893129841e-06, + "loss": 0.9858, + "step": 11131 + }, + { + "epoch": 0.33, + "learning_rate": 7.859388653086946e-06, + "loss": 1.1654, + "step": 11132 + }, + { + "epoch": 0.33, + "learning_rate": 7.858998348985962e-06, + "loss": 0.7549, + "step": 11133 + }, + { + "epoch": 0.33, + "learning_rate": 7.858608018998991e-06, + "loss": 0.6906, + "step": 11134 + }, + { + "epoch": 0.33, + "learning_rate": 7.858217663129565e-06, + "loss": 1.0179, + "step": 11135 + }, + { + "epoch": 0.33, + "learning_rate": 7.857827281381221e-06, + "loss": 1.0281, + "step": 11136 + }, + { + "epoch": 0.33, + "learning_rate": 7.857436873757493e-06, + "loss": 0.7052, + "step": 11137 + }, + { + "epoch": 0.33, + "learning_rate": 7.857046440261916e-06, + "loss": 0.7596, + "step": 11138 + }, + { + "epoch": 0.33, + "learning_rate": 7.856655980898023e-06, + "loss": 0.878, + "step": 11139 + }, + { + "epoch": 0.33, + "learning_rate": 7.856265495669351e-06, + "loss": 0.865, + "step": 11140 + }, + { + "epoch": 0.33, + "learning_rate": 7.855874984579435e-06, + "loss": 0.877, + "step": 11141 + }, + { + "epoch": 0.33, + "learning_rate": 7.85548444763181e-06, + "loss": 0.7111, + "step": 11142 + }, + { + "epoch": 0.33, + "learning_rate": 7.855093884830017e-06, + "loss": 0.6431, + "step": 11143 + }, + { + "epoch": 0.33, + "learning_rate": 7.854703296177585e-06, + "loss": 0.7194, + "step": 11144 + }, + { + "epoch": 0.33, + "learning_rate": 7.854312681678053e-06, + "loss": 0.8441, + "step": 11145 + }, + { + "epoch": 0.33, + "learning_rate": 7.853922041334962e-06, + "loss": 0.6522, + "step": 11146 + }, + { + "epoch": 0.33, + "learning_rate": 7.853531375151844e-06, + "loss": 0.5745, + "step": 11147 + }, + { + "epoch": 0.33, + "learning_rate": 7.853140683132237e-06, + "loss": 0.7338, + "step": 11148 + }, + { + "epoch": 0.33, + "learning_rate": 7.852749965279678e-06, + "loss": 0.6273, + "step": 11149 + }, + { + "epoch": 0.33, + "learning_rate": 7.852359221597708e-06, + "loss": 0.631, + "step": 11150 + }, + { + "epoch": 0.33, + "learning_rate": 7.85196845208986e-06, + "loss": 0.9051, + "step": 11151 + }, + { + "epoch": 0.33, + "learning_rate": 7.851577656759677e-06, + "loss": 0.6322, + "step": 11152 + }, + { + "epoch": 0.33, + "learning_rate": 7.851186835610693e-06, + "loss": 0.7309, + "step": 11153 + }, + { + "epoch": 0.33, + "learning_rate": 7.850795988646452e-06, + "loss": 1.0787, + "step": 11154 + }, + { + "epoch": 0.33, + "learning_rate": 7.850405115870486e-06, + "loss": 0.5172, + "step": 11155 + }, + { + "epoch": 0.33, + "learning_rate": 7.850014217286337e-06, + "loss": 0.5527, + "step": 11156 + }, + { + "epoch": 0.33, + "learning_rate": 7.849623292897549e-06, + "loss": 0.7781, + "step": 11157 + }, + { + "epoch": 0.33, + "learning_rate": 7.849232342707654e-06, + "loss": 0.6188, + "step": 11158 + }, + { + "epoch": 0.33, + "learning_rate": 7.848841366720194e-06, + "loss": 0.8462, + "step": 11159 + }, + { + "epoch": 0.33, + "learning_rate": 7.848450364938712e-06, + "loss": 0.7295, + "step": 11160 + }, + { + "epoch": 0.33, + "learning_rate": 7.848059337366745e-06, + "loss": 0.5181, + "step": 11161 + }, + { + "epoch": 0.33, + "learning_rate": 7.847668284007835e-06, + "loss": 1.0955, + "step": 11162 + }, + { + "epoch": 0.33, + "learning_rate": 7.847277204865524e-06, + "loss": 0.5762, + "step": 11163 + }, + { + "epoch": 0.33, + "learning_rate": 7.84688609994335e-06, + "loss": 0.7696, + "step": 11164 + }, + { + "epoch": 0.33, + "learning_rate": 7.846494969244854e-06, + "loss": 0.3918, + "step": 11165 + }, + { + "epoch": 0.33, + "learning_rate": 7.84610381277358e-06, + "loss": 0.8342, + "step": 11166 + }, + { + "epoch": 0.33, + "learning_rate": 7.845712630533067e-06, + "loss": 0.6351, + "step": 11167 + }, + { + "epoch": 0.33, + "learning_rate": 7.84532142252686e-06, + "loss": 0.641, + "step": 11168 + }, + { + "epoch": 0.33, + "learning_rate": 7.8449301887585e-06, + "loss": 0.8533, + "step": 11169 + }, + { + "epoch": 0.33, + "learning_rate": 7.844538929231526e-06, + "loss": 0.7493, + "step": 11170 + }, + { + "epoch": 0.33, + "learning_rate": 7.844147643949485e-06, + "loss": 0.8272, + "step": 11171 + }, + { + "epoch": 0.33, + "learning_rate": 7.843756332915918e-06, + "loss": 0.7956, + "step": 11172 + }, + { + "epoch": 0.33, + "learning_rate": 7.843364996134366e-06, + "loss": 0.8955, + "step": 11173 + }, + { + "epoch": 0.33, + "learning_rate": 7.842973633608377e-06, + "loss": 0.4431, + "step": 11174 + }, + { + "epoch": 0.33, + "learning_rate": 7.84258224534149e-06, + "loss": 0.924, + "step": 11175 + }, + { + "epoch": 0.33, + "learning_rate": 7.842190831337249e-06, + "loss": 0.8903, + "step": 11176 + }, + { + "epoch": 0.33, + "learning_rate": 7.841799391599202e-06, + "loss": 0.5896, + "step": 11177 + }, + { + "epoch": 0.33, + "learning_rate": 7.84140792613089e-06, + "loss": 0.5508, + "step": 11178 + }, + { + "epoch": 0.33, + "learning_rate": 7.841016434935857e-06, + "loss": 0.8126, + "step": 11179 + }, + { + "epoch": 0.33, + "learning_rate": 7.840624918017649e-06, + "loss": 0.8344, + "step": 11180 + }, + { + "epoch": 0.33, + "learning_rate": 7.840233375379812e-06, + "loss": 0.9607, + "step": 11181 + }, + { + "epoch": 0.33, + "learning_rate": 7.839841807025887e-06, + "loss": 0.5775, + "step": 11182 + }, + { + "epoch": 0.33, + "learning_rate": 7.839450212959423e-06, + "loss": 0.6993, + "step": 11183 + }, + { + "epoch": 0.33, + "learning_rate": 7.839058593183965e-06, + "loss": 1.067, + "step": 11184 + }, + { + "epoch": 0.33, + "learning_rate": 7.838666947703057e-06, + "loss": 0.7051, + "step": 11185 + }, + { + "epoch": 0.33, + "learning_rate": 7.838275276520246e-06, + "loss": 0.7222, + "step": 11186 + }, + { + "epoch": 0.33, + "learning_rate": 7.837883579639081e-06, + "loss": 0.5566, + "step": 11187 + }, + { + "epoch": 0.33, + "learning_rate": 7.837491857063104e-06, + "loss": 0.8375, + "step": 11188 + }, + { + "epoch": 0.33, + "learning_rate": 7.837100108795866e-06, + "loss": 0.5035, + "step": 11189 + }, + { + "epoch": 0.33, + "learning_rate": 7.83670833484091e-06, + "loss": 0.8327, + "step": 11190 + }, + { + "epoch": 0.33, + "learning_rate": 7.836316535201786e-06, + "loss": 0.8217, + "step": 11191 + }, + { + "epoch": 0.33, + "learning_rate": 7.83592470988204e-06, + "loss": 0.5542, + "step": 11192 + }, + { + "epoch": 0.33, + "learning_rate": 7.835532858885219e-06, + "loss": 0.7126, + "step": 11193 + }, + { + "epoch": 0.33, + "learning_rate": 7.835140982214876e-06, + "loss": 0.8952, + "step": 11194 + }, + { + "epoch": 0.33, + "learning_rate": 7.83474907987455e-06, + "loss": 0.6486, + "step": 11195 + }, + { + "epoch": 0.33, + "learning_rate": 7.834357151867798e-06, + "loss": 0.8482, + "step": 11196 + }, + { + "epoch": 0.33, + "learning_rate": 7.833965198198165e-06, + "loss": 0.7305, + "step": 11197 + }, + { + "epoch": 0.33, + "learning_rate": 7.833573218869199e-06, + "loss": 0.638, + "step": 11198 + }, + { + "epoch": 0.33, + "learning_rate": 7.833181213884452e-06, + "loss": 0.6455, + "step": 11199 + }, + { + "epoch": 0.33, + "learning_rate": 7.832789183247467e-06, + "loss": 0.7747, + "step": 11200 + }, + { + "epoch": 0.33, + "learning_rate": 7.832397126961802e-06, + "loss": 0.5611, + "step": 11201 + }, + { + "epoch": 0.33, + "learning_rate": 7.832005045031002e-06, + "loss": 0.8134, + "step": 11202 + }, + { + "epoch": 0.33, + "learning_rate": 7.831612937458616e-06, + "loss": 0.6877, + "step": 11203 + }, + { + "epoch": 0.33, + "learning_rate": 7.831220804248197e-06, + "loss": 0.7396, + "step": 11204 + }, + { + "epoch": 0.33, + "learning_rate": 7.830828645403293e-06, + "loss": 0.7282, + "step": 11205 + }, + { + "epoch": 0.33, + "learning_rate": 7.830436460927458e-06, + "loss": 0.6191, + "step": 11206 + }, + { + "epoch": 0.33, + "learning_rate": 7.83004425082424e-06, + "loss": 0.9671, + "step": 11207 + }, + { + "epoch": 0.33, + "learning_rate": 7.829652015097191e-06, + "loss": 0.7365, + "step": 11208 + }, + { + "epoch": 0.33, + "learning_rate": 7.829259753749862e-06, + "loss": 0.7866, + "step": 11209 + }, + { + "epoch": 0.33, + "learning_rate": 7.828867466785805e-06, + "loss": 0.4714, + "step": 11210 + }, + { + "epoch": 0.33, + "learning_rate": 7.828475154208575e-06, + "loss": 0.6139, + "step": 11211 + }, + { + "epoch": 0.33, + "learning_rate": 7.828082816021719e-06, + "loss": 0.7362, + "step": 11212 + }, + { + "epoch": 0.33, + "learning_rate": 7.82769045222879e-06, + "loss": 0.6536, + "step": 11213 + }, + { + "epoch": 0.33, + "learning_rate": 7.827298062833343e-06, + "loss": 0.7542, + "step": 11214 + }, + { + "epoch": 0.33, + "learning_rate": 7.82690564783893e-06, + "loss": 0.7601, + "step": 11215 + }, + { + "epoch": 0.33, + "learning_rate": 7.826513207249104e-06, + "loss": 0.6805, + "step": 11216 + }, + { + "epoch": 0.33, + "learning_rate": 7.826120741067417e-06, + "loss": 0.6284, + "step": 11217 + }, + { + "epoch": 0.33, + "learning_rate": 7.825728249297424e-06, + "loss": 0.8115, + "step": 11218 + }, + { + "epoch": 0.33, + "learning_rate": 7.825335731942678e-06, + "loss": 0.538, + "step": 11219 + }, + { + "epoch": 0.33, + "learning_rate": 7.824943189006733e-06, + "loss": 0.696, + "step": 11220 + }, + { + "epoch": 0.33, + "learning_rate": 7.824550620493143e-06, + "loss": 0.6738, + "step": 11221 + }, + { + "epoch": 0.33, + "learning_rate": 7.824158026405462e-06, + "loss": 0.8992, + "step": 11222 + }, + { + "epoch": 0.33, + "learning_rate": 7.823765406747246e-06, + "loss": 0.5523, + "step": 11223 + }, + { + "epoch": 0.33, + "learning_rate": 7.82337276152205e-06, + "loss": 0.7377, + "step": 11224 + }, + { + "epoch": 0.33, + "learning_rate": 7.822980090733427e-06, + "loss": 0.8722, + "step": 11225 + }, + { + "epoch": 0.33, + "learning_rate": 7.822587394384933e-06, + "loss": 0.6932, + "step": 11226 + }, + { + "epoch": 0.33, + "learning_rate": 7.822194672480126e-06, + "loss": 0.6667, + "step": 11227 + }, + { + "epoch": 0.33, + "learning_rate": 7.821801925022559e-06, + "loss": 0.8045, + "step": 11228 + }, + { + "epoch": 0.33, + "learning_rate": 7.821409152015787e-06, + "loss": 0.5398, + "step": 11229 + }, + { + "epoch": 0.33, + "learning_rate": 7.821016353463372e-06, + "loss": 0.8395, + "step": 11230 + }, + { + "epoch": 0.33, + "learning_rate": 7.820623529368864e-06, + "loss": 0.8715, + "step": 11231 + }, + { + "epoch": 0.33, + "learning_rate": 7.820230679735823e-06, + "loss": 0.8995, + "step": 11232 + }, + { + "epoch": 0.33, + "learning_rate": 7.819837804567805e-06, + "loss": 0.9809, + "step": 11233 + }, + { + "epoch": 0.33, + "learning_rate": 7.819444903868367e-06, + "loss": 0.6281, + "step": 11234 + }, + { + "epoch": 0.33, + "learning_rate": 7.819051977641068e-06, + "loss": 0.6739, + "step": 11235 + }, + { + "epoch": 0.33, + "learning_rate": 7.818659025889463e-06, + "loss": 0.8322, + "step": 11236 + }, + { + "epoch": 0.33, + "learning_rate": 7.818266048617114e-06, + "loss": 0.7819, + "step": 11237 + }, + { + "epoch": 0.33, + "learning_rate": 7.817873045827574e-06, + "loss": 0.8321, + "step": 11238 + }, + { + "epoch": 0.33, + "learning_rate": 7.817480017524403e-06, + "loss": 0.4945, + "step": 11239 + }, + { + "epoch": 0.33, + "learning_rate": 7.817086963711163e-06, + "loss": 0.669, + "step": 11240 + }, + { + "epoch": 0.33, + "learning_rate": 7.81669388439141e-06, + "loss": 0.906, + "step": 11241 + }, + { + "epoch": 0.33, + "learning_rate": 7.816300779568703e-06, + "loss": 0.8143, + "step": 11242 + }, + { + "epoch": 0.33, + "learning_rate": 7.815907649246602e-06, + "loss": 0.7967, + "step": 11243 + }, + { + "epoch": 0.33, + "learning_rate": 7.815514493428664e-06, + "loss": 0.8921, + "step": 11244 + }, + { + "epoch": 0.33, + "learning_rate": 7.81512131211845e-06, + "loss": 0.8121, + "step": 11245 + }, + { + "epoch": 0.33, + "learning_rate": 7.814728105319523e-06, + "loss": 0.8983, + "step": 11246 + }, + { + "epoch": 0.33, + "learning_rate": 7.814334873035441e-06, + "loss": 0.7427, + "step": 11247 + }, + { + "epoch": 0.33, + "learning_rate": 7.813941615269763e-06, + "loss": 0.7375, + "step": 11248 + }, + { + "epoch": 0.33, + "learning_rate": 7.813548332026048e-06, + "loss": 0.6337, + "step": 11249 + }, + { + "epoch": 0.33, + "learning_rate": 7.813155023307863e-06, + "loss": 0.7826, + "step": 11250 + }, + { + "epoch": 0.33, + "learning_rate": 7.812761689118766e-06, + "loss": 0.822, + "step": 11251 + }, + { + "epoch": 0.33, + "learning_rate": 7.812368329462319e-06, + "loss": 0.8013, + "step": 11252 + }, + { + "epoch": 0.33, + "learning_rate": 7.81197494434208e-06, + "loss": 0.478, + "step": 11253 + }, + { + "epoch": 0.33, + "learning_rate": 7.811581533761614e-06, + "loss": 0.7077, + "step": 11254 + }, + { + "epoch": 0.33, + "learning_rate": 7.811188097724484e-06, + "loss": 0.5812, + "step": 11255 + }, + { + "epoch": 0.33, + "learning_rate": 7.810794636234251e-06, + "loss": 0.9501, + "step": 11256 + }, + { + "epoch": 0.33, + "learning_rate": 7.810401149294477e-06, + "loss": 0.9589, + "step": 11257 + }, + { + "epoch": 0.33, + "learning_rate": 7.810007636908724e-06, + "loss": 0.6093, + "step": 11258 + }, + { + "epoch": 0.33, + "learning_rate": 7.809614099080556e-06, + "loss": 0.7059, + "step": 11259 + }, + { + "epoch": 0.33, + "learning_rate": 7.809220535813535e-06, + "loss": 0.5468, + "step": 11260 + }, + { + "epoch": 0.33, + "learning_rate": 7.808826947111228e-06, + "loss": 0.7214, + "step": 11261 + }, + { + "epoch": 0.33, + "learning_rate": 7.808433332977196e-06, + "loss": 0.6567, + "step": 11262 + }, + { + "epoch": 0.33, + "learning_rate": 7.808039693415002e-06, + "loss": 0.6826, + "step": 11263 + }, + { + "epoch": 0.33, + "learning_rate": 7.80764602842821e-06, + "loss": 0.6658, + "step": 11264 + }, + { + "epoch": 0.33, + "learning_rate": 7.807252338020388e-06, + "loss": 0.821, + "step": 11265 + }, + { + "epoch": 0.33, + "learning_rate": 7.806858622195095e-06, + "loss": 0.6836, + "step": 11266 + }, + { + "epoch": 0.33, + "learning_rate": 7.806464880955902e-06, + "loss": 0.8985, + "step": 11267 + }, + { + "epoch": 0.33, + "learning_rate": 7.806071114306368e-06, + "loss": 0.6966, + "step": 11268 + }, + { + "epoch": 0.33, + "learning_rate": 7.805677322250062e-06, + "loss": 0.7067, + "step": 11269 + }, + { + "epoch": 0.33, + "learning_rate": 7.805283504790548e-06, + "loss": 0.6183, + "step": 11270 + }, + { + "epoch": 0.33, + "learning_rate": 7.804889661931393e-06, + "loss": 0.7319, + "step": 11271 + }, + { + "epoch": 0.33, + "learning_rate": 7.804495793676163e-06, + "loss": 0.7243, + "step": 11272 + }, + { + "epoch": 0.33, + "learning_rate": 7.804101900028422e-06, + "loss": 0.6619, + "step": 11273 + }, + { + "epoch": 0.33, + "learning_rate": 7.80370798099174e-06, + "loss": 0.7738, + "step": 11274 + }, + { + "epoch": 0.33, + "learning_rate": 7.803314036569679e-06, + "loss": 0.8176, + "step": 11275 + }, + { + "epoch": 0.33, + "learning_rate": 7.80292006676581e-06, + "loss": 0.8356, + "step": 11276 + }, + { + "epoch": 0.33, + "learning_rate": 7.802526071583696e-06, + "loss": 0.8088, + "step": 11277 + }, + { + "epoch": 0.33, + "learning_rate": 7.802132051026907e-06, + "loss": 0.6658, + "step": 11278 + }, + { + "epoch": 0.33, + "learning_rate": 7.80173800509901e-06, + "loss": 0.914, + "step": 11279 + }, + { + "epoch": 0.33, + "learning_rate": 7.801343933803575e-06, + "loss": 0.6338, + "step": 11280 + }, + { + "epoch": 0.33, + "learning_rate": 7.800949837144167e-06, + "loss": 0.6777, + "step": 11281 + }, + { + "epoch": 0.33, + "learning_rate": 7.800555715124355e-06, + "loss": 0.8478, + "step": 11282 + }, + { + "epoch": 0.33, + "learning_rate": 7.800161567747708e-06, + "loss": 0.8353, + "step": 11283 + }, + { + "epoch": 0.33, + "learning_rate": 7.799767395017795e-06, + "loss": 0.6862, + "step": 11284 + }, + { + "epoch": 0.33, + "learning_rate": 7.799373196938182e-06, + "loss": 0.869, + "step": 11285 + }, + { + "epoch": 0.33, + "learning_rate": 7.798978973512443e-06, + "loss": 0.5604, + "step": 11286 + }, + { + "epoch": 0.33, + "learning_rate": 7.798584724744142e-06, + "loss": 0.5659, + "step": 11287 + }, + { + "epoch": 0.33, + "learning_rate": 7.798190450636853e-06, + "loss": 0.6019, + "step": 11288 + }, + { + "epoch": 0.33, + "learning_rate": 7.797796151194145e-06, + "loss": 0.5355, + "step": 11289 + }, + { + "epoch": 0.33, + "learning_rate": 7.797401826419588e-06, + "loss": 0.6939, + "step": 11290 + }, + { + "epoch": 0.33, + "learning_rate": 7.79700747631675e-06, + "loss": 0.4001, + "step": 11291 + }, + { + "epoch": 0.33, + "learning_rate": 7.796613100889203e-06, + "loss": 0.5634, + "step": 11292 + }, + { + "epoch": 0.33, + "learning_rate": 7.796218700140518e-06, + "loss": 0.9653, + "step": 11293 + }, + { + "epoch": 0.33, + "learning_rate": 7.795824274074266e-06, + "loss": 0.6914, + "step": 11294 + }, + { + "epoch": 0.33, + "learning_rate": 7.795429822694019e-06, + "loss": 0.8483, + "step": 11295 + }, + { + "epoch": 0.33, + "learning_rate": 7.795035346003348e-06, + "loss": 0.7948, + "step": 11296 + }, + { + "epoch": 0.33, + "learning_rate": 7.794640844005824e-06, + "loss": 0.6334, + "step": 11297 + }, + { + "epoch": 0.33, + "learning_rate": 7.794246316705017e-06, + "loss": 0.9129, + "step": 11298 + }, + { + "epoch": 0.33, + "learning_rate": 7.793851764104503e-06, + "loss": 0.6519, + "step": 11299 + }, + { + "epoch": 0.33, + "learning_rate": 7.793457186207854e-06, + "loss": 1.0681, + "step": 11300 + }, + { + "epoch": 0.33, + "learning_rate": 7.79306258301864e-06, + "loss": 0.7514, + "step": 11301 + }, + { + "epoch": 0.33, + "learning_rate": 7.792667954540435e-06, + "loss": 0.6791, + "step": 11302 + }, + { + "epoch": 0.33, + "learning_rate": 7.792273300776811e-06, + "loss": 0.5892, + "step": 11303 + }, + { + "epoch": 0.33, + "learning_rate": 7.791878621731344e-06, + "loss": 0.7974, + "step": 11304 + }, + { + "epoch": 0.33, + "learning_rate": 7.791483917407606e-06, + "loss": 0.6775, + "step": 11305 + }, + { + "epoch": 0.33, + "learning_rate": 7.79108918780917e-06, + "loss": 0.8128, + "step": 11306 + }, + { + "epoch": 0.33, + "learning_rate": 7.790694432939612e-06, + "loss": 0.6941, + "step": 11307 + }, + { + "epoch": 0.33, + "learning_rate": 7.790299652802502e-06, + "loss": 0.7887, + "step": 11308 + }, + { + "epoch": 0.33, + "learning_rate": 7.789904847401419e-06, + "loss": 0.5838, + "step": 11309 + }, + { + "epoch": 0.33, + "learning_rate": 7.789510016739935e-06, + "loss": 0.7633, + "step": 11310 + }, + { + "epoch": 0.33, + "learning_rate": 7.789115160821628e-06, + "loss": 0.8629, + "step": 11311 + }, + { + "epoch": 0.33, + "learning_rate": 7.788720279650069e-06, + "loss": 0.8172, + "step": 11312 + }, + { + "epoch": 0.33, + "learning_rate": 7.788325373228835e-06, + "loss": 0.7574, + "step": 11313 + }, + { + "epoch": 0.33, + "learning_rate": 7.787930441561503e-06, + "loss": 0.7423, + "step": 11314 + }, + { + "epoch": 0.33, + "learning_rate": 7.787535484651648e-06, + "loss": 0.7508, + "step": 11315 + }, + { + "epoch": 0.33, + "learning_rate": 7.787140502502846e-06, + "loss": 0.7989, + "step": 11316 + }, + { + "epoch": 0.33, + "learning_rate": 7.78674549511867e-06, + "loss": 0.6475, + "step": 11317 + }, + { + "epoch": 0.33, + "learning_rate": 7.7863504625027e-06, + "loss": 0.5624, + "step": 11318 + }, + { + "epoch": 0.33, + "learning_rate": 7.785955404658515e-06, + "loss": 0.5804, + "step": 11319 + }, + { + "epoch": 0.33, + "learning_rate": 7.785560321589687e-06, + "loss": 1.0296, + "step": 11320 + }, + { + "epoch": 0.33, + "learning_rate": 7.785165213299797e-06, + "loss": 0.7437, + "step": 11321 + }, + { + "epoch": 0.33, + "learning_rate": 7.784770079792418e-06, + "loss": 0.8552, + "step": 11322 + }, + { + "epoch": 0.33, + "learning_rate": 7.784374921071132e-06, + "loss": 0.9018, + "step": 11323 + }, + { + "epoch": 0.33, + "learning_rate": 7.783979737139514e-06, + "loss": 0.853, + "step": 11324 + }, + { + "epoch": 0.33, + "learning_rate": 7.783584528001143e-06, + "loss": 0.7397, + "step": 11325 + }, + { + "epoch": 0.33, + "learning_rate": 7.7831892936596e-06, + "loss": 0.655, + "step": 11326 + }, + { + "epoch": 0.33, + "learning_rate": 7.782794034118456e-06, + "loss": 0.7726, + "step": 11327 + }, + { + "epoch": 0.33, + "learning_rate": 7.782398749381298e-06, + "loss": 0.8001, + "step": 11328 + }, + { + "epoch": 0.33, + "learning_rate": 7.782003439451702e-06, + "loss": 0.5768, + "step": 11329 + }, + { + "epoch": 0.33, + "learning_rate": 7.781608104333246e-06, + "loss": 0.9035, + "step": 11330 + }, + { + "epoch": 0.33, + "learning_rate": 7.781212744029511e-06, + "loss": 1.1582, + "step": 11331 + }, + { + "epoch": 0.33, + "learning_rate": 7.780817358544076e-06, + "loss": 0.5478, + "step": 11332 + }, + { + "epoch": 0.33, + "learning_rate": 7.78042194788052e-06, + "loss": 0.8012, + "step": 11333 + }, + { + "epoch": 0.33, + "learning_rate": 7.780026512042426e-06, + "loss": 0.6648, + "step": 11334 + }, + { + "epoch": 0.33, + "learning_rate": 7.779631051033372e-06, + "loss": 0.8058, + "step": 11335 + }, + { + "epoch": 0.33, + "learning_rate": 7.779235564856939e-06, + "loss": 0.6909, + "step": 11336 + }, + { + "epoch": 0.33, + "learning_rate": 7.778840053516707e-06, + "loss": 0.7729, + "step": 11337 + }, + { + "epoch": 0.33, + "learning_rate": 7.778444517016257e-06, + "loss": 0.5929, + "step": 11338 + }, + { + "epoch": 0.33, + "learning_rate": 7.778048955359173e-06, + "loss": 0.6688, + "step": 11339 + }, + { + "epoch": 0.33, + "learning_rate": 7.777653368549034e-06, + "loss": 0.7949, + "step": 11340 + }, + { + "epoch": 0.33, + "learning_rate": 7.777257756589424e-06, + "loss": 0.8884, + "step": 11341 + }, + { + "epoch": 0.33, + "learning_rate": 7.77686211948392e-06, + "loss": 0.9427, + "step": 11342 + }, + { + "epoch": 0.33, + "learning_rate": 7.776466457236111e-06, + "loss": 0.7736, + "step": 11343 + }, + { + "epoch": 0.33, + "learning_rate": 7.776070769849575e-06, + "loss": 0.6774, + "step": 11344 + }, + { + "epoch": 0.33, + "learning_rate": 7.775675057327895e-06, + "loss": 0.789, + "step": 11345 + }, + { + "epoch": 0.33, + "learning_rate": 7.775279319674655e-06, + "loss": 0.6287, + "step": 11346 + }, + { + "epoch": 0.33, + "learning_rate": 7.774883556893438e-06, + "loss": 0.7271, + "step": 11347 + }, + { + "epoch": 0.33, + "learning_rate": 7.774487768987825e-06, + "loss": 0.7345, + "step": 11348 + }, + { + "epoch": 0.33, + "learning_rate": 7.774091955961404e-06, + "loss": 0.7893, + "step": 11349 + }, + { + "epoch": 0.33, + "learning_rate": 7.773696117817757e-06, + "loss": 0.7874, + "step": 11350 + }, + { + "epoch": 0.33, + "learning_rate": 7.773300254560466e-06, + "loss": 0.9505, + "step": 11351 + }, + { + "epoch": 0.33, + "learning_rate": 7.772904366193113e-06, + "loss": 0.6376, + "step": 11352 + }, + { + "epoch": 0.33, + "learning_rate": 7.772508452719289e-06, + "loss": 0.6223, + "step": 11353 + }, + { + "epoch": 0.33, + "learning_rate": 7.772112514142576e-06, + "loss": 0.9471, + "step": 11354 + }, + { + "epoch": 0.33, + "learning_rate": 7.771716550466559e-06, + "loss": 0.6381, + "step": 11355 + }, + { + "epoch": 0.33, + "learning_rate": 7.771320561694821e-06, + "loss": 0.7075, + "step": 11356 + }, + { + "epoch": 0.33, + "learning_rate": 7.770924547830948e-06, + "loss": 0.8487, + "step": 11357 + }, + { + "epoch": 0.33, + "learning_rate": 7.770528508878529e-06, + "loss": 0.8131, + "step": 11358 + }, + { + "epoch": 0.33, + "learning_rate": 7.77013244484115e-06, + "loss": 0.7325, + "step": 11359 + }, + { + "epoch": 0.33, + "learning_rate": 7.76973635572239e-06, + "loss": 0.8489, + "step": 11360 + }, + { + "epoch": 0.33, + "learning_rate": 7.76934024152584e-06, + "loss": 0.7445, + "step": 11361 + }, + { + "epoch": 0.33, + "learning_rate": 7.768944102255088e-06, + "loss": 0.648, + "step": 11362 + }, + { + "epoch": 0.33, + "learning_rate": 7.768547937913718e-06, + "loss": 0.7509, + "step": 11363 + }, + { + "epoch": 0.33, + "learning_rate": 7.76815174850532e-06, + "loss": 0.6682, + "step": 11364 + }, + { + "epoch": 0.33, + "learning_rate": 7.767755534033476e-06, + "loss": 0.8378, + "step": 11365 + }, + { + "epoch": 0.33, + "learning_rate": 7.76735929450178e-06, + "loss": 0.7323, + "step": 11366 + }, + { + "epoch": 0.33, + "learning_rate": 7.766963029913813e-06, + "loss": 0.765, + "step": 11367 + }, + { + "epoch": 0.33, + "learning_rate": 7.766566740273167e-06, + "loss": 0.7009, + "step": 11368 + }, + { + "epoch": 0.33, + "learning_rate": 7.76617042558343e-06, + "loss": 0.7614, + "step": 11369 + }, + { + "epoch": 0.33, + "learning_rate": 7.76577408584819e-06, + "loss": 0.8133, + "step": 11370 + }, + { + "epoch": 0.33, + "learning_rate": 7.765377721071034e-06, + "loss": 0.7726, + "step": 11371 + }, + { + "epoch": 0.33, + "learning_rate": 7.764981331255552e-06, + "loss": 0.8696, + "step": 11372 + }, + { + "epoch": 0.33, + "learning_rate": 7.764584916405332e-06, + "loss": 0.8393, + "step": 11373 + }, + { + "epoch": 0.33, + "learning_rate": 7.764188476523966e-06, + "loss": 0.8055, + "step": 11374 + }, + { + "epoch": 0.33, + "learning_rate": 7.76379201161504e-06, + "loss": 0.8353, + "step": 11375 + }, + { + "epoch": 0.33, + "learning_rate": 7.763395521682145e-06, + "loss": 0.6007, + "step": 11376 + }, + { + "epoch": 0.33, + "learning_rate": 7.762999006728871e-06, + "loss": 0.6471, + "step": 11377 + }, + { + "epoch": 0.33, + "learning_rate": 7.76260246675881e-06, + "loss": 0.7984, + "step": 11378 + }, + { + "epoch": 0.33, + "learning_rate": 7.762205901775549e-06, + "loss": 0.6073, + "step": 11379 + }, + { + "epoch": 0.33, + "learning_rate": 7.761809311782679e-06, + "loss": 0.6505, + "step": 11380 + }, + { + "epoch": 0.33, + "learning_rate": 7.761412696783795e-06, + "loss": 0.7406, + "step": 11381 + }, + { + "epoch": 0.33, + "learning_rate": 7.761016056782483e-06, + "loss": 0.5046, + "step": 11382 + }, + { + "epoch": 0.33, + "learning_rate": 7.760619391782335e-06, + "loss": 0.674, + "step": 11383 + }, + { + "epoch": 0.33, + "learning_rate": 7.760222701786947e-06, + "loss": 0.827, + "step": 11384 + }, + { + "epoch": 0.33, + "learning_rate": 7.759825986799906e-06, + "loss": 0.7061, + "step": 11385 + }, + { + "epoch": 0.33, + "learning_rate": 7.759429246824806e-06, + "loss": 0.5927, + "step": 11386 + }, + { + "epoch": 0.33, + "learning_rate": 7.759032481865237e-06, + "loss": 0.7706, + "step": 11387 + }, + { + "epoch": 0.33, + "learning_rate": 7.758635691924794e-06, + "loss": 0.4525, + "step": 11388 + }, + { + "epoch": 0.33, + "learning_rate": 7.75823887700707e-06, + "loss": 0.6218, + "step": 11389 + }, + { + "epoch": 0.33, + "learning_rate": 7.757842037115654e-06, + "loss": 0.7619, + "step": 11390 + }, + { + "epoch": 0.33, + "learning_rate": 7.757445172254143e-06, + "loss": 1.0867, + "step": 11391 + }, + { + "epoch": 0.33, + "learning_rate": 7.757048282426128e-06, + "loss": 0.9068, + "step": 11392 + }, + { + "epoch": 0.33, + "learning_rate": 7.756651367635202e-06, + "loss": 0.7849, + "step": 11393 + }, + { + "epoch": 0.33, + "learning_rate": 7.756254427884961e-06, + "loss": 0.7661, + "step": 11394 + }, + { + "epoch": 0.33, + "learning_rate": 7.755857463179e-06, + "loss": 0.8427, + "step": 11395 + }, + { + "epoch": 0.33, + "learning_rate": 7.75546047352091e-06, + "loss": 0.6914, + "step": 11396 + }, + { + "epoch": 0.33, + "learning_rate": 7.755063458914286e-06, + "loss": 0.7509, + "step": 11397 + }, + { + "epoch": 0.33, + "learning_rate": 7.754666419362725e-06, + "loss": 0.9336, + "step": 11398 + }, + { + "epoch": 0.33, + "learning_rate": 7.754269354869818e-06, + "loss": 0.6743, + "step": 11399 + }, + { + "epoch": 0.33, + "learning_rate": 7.753872265439164e-06, + "loss": 0.7043, + "step": 11400 + }, + { + "epoch": 0.33, + "learning_rate": 7.753475151074357e-06, + "loss": 0.7828, + "step": 11401 + }, + { + "epoch": 0.33, + "learning_rate": 7.753078011778991e-06, + "loss": 0.842, + "step": 11402 + }, + { + "epoch": 0.34, + "learning_rate": 7.752680847556664e-06, + "loss": 0.6807, + "step": 11403 + }, + { + "epoch": 0.34, + "learning_rate": 7.75228365841097e-06, + "loss": 1.1743, + "step": 11404 + }, + { + "epoch": 0.34, + "learning_rate": 7.751886444345506e-06, + "loss": 0.7654, + "step": 11405 + }, + { + "epoch": 0.34, + "learning_rate": 7.751489205363872e-06, + "loss": 0.8478, + "step": 11406 + }, + { + "epoch": 0.34, + "learning_rate": 7.751091941469657e-06, + "loss": 0.8223, + "step": 11407 + }, + { + "epoch": 0.34, + "learning_rate": 7.750694652666466e-06, + "loss": 0.8932, + "step": 11408 + }, + { + "epoch": 0.34, + "learning_rate": 7.75029733895789e-06, + "loss": 0.8563, + "step": 11409 + }, + { + "epoch": 0.34, + "learning_rate": 7.74990000034753e-06, + "loss": 0.7388, + "step": 11410 + }, + { + "epoch": 0.34, + "learning_rate": 7.749502636838982e-06, + "loss": 0.8839, + "step": 11411 + }, + { + "epoch": 0.34, + "learning_rate": 7.749105248435845e-06, + "loss": 0.8975, + "step": 11412 + }, + { + "epoch": 0.34, + "learning_rate": 7.748707835141714e-06, + "loss": 0.821, + "step": 11413 + }, + { + "epoch": 0.34, + "learning_rate": 7.748310396960192e-06, + "loss": 0.7724, + "step": 11414 + }, + { + "epoch": 0.34, + "learning_rate": 7.747912933894875e-06, + "loss": 0.5552, + "step": 11415 + }, + { + "epoch": 0.34, + "learning_rate": 7.747515445949361e-06, + "loss": 0.7913, + "step": 11416 + }, + { + "epoch": 0.34, + "learning_rate": 7.747117933127249e-06, + "loss": 0.6037, + "step": 11417 + }, + { + "epoch": 0.34, + "learning_rate": 7.746720395432139e-06, + "loss": 0.8803, + "step": 11418 + }, + { + "epoch": 0.34, + "learning_rate": 7.746322832867632e-06, + "loss": 0.731, + "step": 11419 + }, + { + "epoch": 0.34, + "learning_rate": 7.745925245437324e-06, + "loss": 0.7042, + "step": 11420 + }, + { + "epoch": 0.34, + "learning_rate": 7.745527633144817e-06, + "loss": 0.7442, + "step": 11421 + }, + { + "epoch": 0.34, + "learning_rate": 7.745129995993712e-06, + "loss": 0.6316, + "step": 11422 + }, + { + "epoch": 0.34, + "learning_rate": 7.744732333987607e-06, + "loss": 0.9315, + "step": 11423 + }, + { + "epoch": 0.34, + "learning_rate": 7.744334647130105e-06, + "loss": 0.6163, + "step": 11424 + }, + { + "epoch": 0.34, + "learning_rate": 7.743936935424803e-06, + "loss": 0.9198, + "step": 11425 + }, + { + "epoch": 0.34, + "learning_rate": 7.743539198875306e-06, + "loss": 0.6876, + "step": 11426 + }, + { + "epoch": 0.34, + "learning_rate": 7.743141437485213e-06, + "loss": 0.7989, + "step": 11427 + }, + { + "epoch": 0.34, + "learning_rate": 7.742743651258126e-06, + "loss": 0.7016, + "step": 11428 + }, + { + "epoch": 0.34, + "learning_rate": 7.742345840197646e-06, + "loss": 0.6311, + "step": 11429 + }, + { + "epoch": 0.34, + "learning_rate": 7.741948004307375e-06, + "loss": 0.8191, + "step": 11430 + }, + { + "epoch": 0.34, + "learning_rate": 7.741550143590916e-06, + "loss": 0.8902, + "step": 11431 + }, + { + "epoch": 0.34, + "learning_rate": 7.741152258051872e-06, + "loss": 0.5473, + "step": 11432 + }, + { + "epoch": 0.34, + "learning_rate": 7.740754347693845e-06, + "loss": 1.0235, + "step": 11433 + }, + { + "epoch": 0.34, + "learning_rate": 7.740356412520435e-06, + "loss": 0.8241, + "step": 11434 + }, + { + "epoch": 0.34, + "learning_rate": 7.739958452535247e-06, + "loss": 0.6128, + "step": 11435 + }, + { + "epoch": 0.34, + "learning_rate": 7.739560467741885e-06, + "loss": 0.7823, + "step": 11436 + }, + { + "epoch": 0.34, + "learning_rate": 7.739162458143953e-06, + "loss": 1.0089, + "step": 11437 + }, + { + "epoch": 0.34, + "learning_rate": 7.738764423745053e-06, + "loss": 0.7421, + "step": 11438 + }, + { + "epoch": 0.34, + "learning_rate": 7.738366364548788e-06, + "loss": 0.6941, + "step": 11439 + }, + { + "epoch": 0.34, + "learning_rate": 7.737968280558766e-06, + "loss": 0.9255, + "step": 11440 + }, + { + "epoch": 0.34, + "learning_rate": 7.737570171778585e-06, + "loss": 0.8194, + "step": 11441 + }, + { + "epoch": 0.34, + "learning_rate": 7.737172038211855e-06, + "loss": 0.6745, + "step": 11442 + }, + { + "epoch": 0.34, + "learning_rate": 7.73677387986218e-06, + "loss": 0.6664, + "step": 11443 + }, + { + "epoch": 0.34, + "learning_rate": 7.736375696733166e-06, + "loss": 0.7022, + "step": 11444 + }, + { + "epoch": 0.34, + "learning_rate": 7.735977488828412e-06, + "loss": 0.8165, + "step": 11445 + }, + { + "epoch": 0.34, + "learning_rate": 7.73557925615153e-06, + "loss": 0.7823, + "step": 11446 + }, + { + "epoch": 0.34, + "learning_rate": 7.735180998706125e-06, + "loss": 0.7487, + "step": 11447 + }, + { + "epoch": 0.34, + "learning_rate": 7.734782716495798e-06, + "loss": 0.8006, + "step": 11448 + }, + { + "epoch": 0.34, + "learning_rate": 7.734384409524161e-06, + "loss": 0.6719, + "step": 11449 + }, + { + "epoch": 0.34, + "learning_rate": 7.733986077794817e-06, + "loss": 0.6437, + "step": 11450 + }, + { + "epoch": 0.34, + "learning_rate": 7.733587721311373e-06, + "loss": 0.6806, + "step": 11451 + }, + { + "epoch": 0.34, + "learning_rate": 7.733189340077439e-06, + "loss": 0.6606, + "step": 11452 + }, + { + "epoch": 0.34, + "learning_rate": 7.732790934096617e-06, + "loss": 0.5977, + "step": 11453 + }, + { + "epoch": 0.34, + "learning_rate": 7.732392503372518e-06, + "loss": 0.7505, + "step": 11454 + }, + { + "epoch": 0.34, + "learning_rate": 7.731994047908746e-06, + "loss": 0.804, + "step": 11455 + }, + { + "epoch": 0.34, + "learning_rate": 7.731595567708914e-06, + "loss": 0.7859, + "step": 11456 + }, + { + "epoch": 0.34, + "learning_rate": 7.731197062776624e-06, + "loss": 0.7861, + "step": 11457 + }, + { + "epoch": 0.34, + "learning_rate": 7.730798533115488e-06, + "loss": 0.485, + "step": 11458 + }, + { + "epoch": 0.34, + "learning_rate": 7.730399978729114e-06, + "loss": 0.8206, + "step": 11459 + }, + { + "epoch": 0.34, + "learning_rate": 7.730001399621108e-06, + "loss": 0.8828, + "step": 11460 + }, + { + "epoch": 0.34, + "learning_rate": 7.72960279579508e-06, + "loss": 0.6088, + "step": 11461 + }, + { + "epoch": 0.34, + "learning_rate": 7.729204167254641e-06, + "loss": 0.7835, + "step": 11462 + }, + { + "epoch": 0.34, + "learning_rate": 7.728805514003399e-06, + "loss": 0.8082, + "step": 11463 + }, + { + "epoch": 0.34, + "learning_rate": 7.728406836044963e-06, + "loss": 0.6802, + "step": 11464 + }, + { + "epoch": 0.34, + "learning_rate": 7.728008133382945e-06, + "loss": 0.7868, + "step": 11465 + }, + { + "epoch": 0.34, + "learning_rate": 7.72760940602095e-06, + "loss": 0.7169, + "step": 11466 + }, + { + "epoch": 0.34, + "learning_rate": 7.727210653962595e-06, + "loss": 0.4947, + "step": 11467 + }, + { + "epoch": 0.34, + "learning_rate": 7.726811877211485e-06, + "loss": 0.7796, + "step": 11468 + }, + { + "epoch": 0.34, + "learning_rate": 7.72641307577123e-06, + "loss": 0.6671, + "step": 11469 + }, + { + "epoch": 0.34, + "learning_rate": 7.726014249645446e-06, + "loss": 0.8184, + "step": 11470 + }, + { + "epoch": 0.34, + "learning_rate": 7.72561539883774e-06, + "loss": 0.6172, + "step": 11471 + }, + { + "epoch": 0.34, + "learning_rate": 7.725216523351725e-06, + "loss": 0.6803, + "step": 11472 + }, + { + "epoch": 0.34, + "learning_rate": 7.724817623191012e-06, + "loss": 0.7716, + "step": 11473 + }, + { + "epoch": 0.34, + "learning_rate": 7.724418698359213e-06, + "loss": 0.7696, + "step": 11474 + }, + { + "epoch": 0.34, + "learning_rate": 7.724019748859938e-06, + "loss": 0.8484, + "step": 11475 + }, + { + "epoch": 0.34, + "learning_rate": 7.723620774696801e-06, + "loss": 0.7902, + "step": 11476 + }, + { + "epoch": 0.34, + "learning_rate": 7.723221775873415e-06, + "loss": 0.513, + "step": 11477 + }, + { + "epoch": 0.34, + "learning_rate": 7.722822752393394e-06, + "loss": 0.8452, + "step": 11478 + }, + { + "epoch": 0.34, + "learning_rate": 7.722423704260345e-06, + "loss": 0.6461, + "step": 11479 + }, + { + "epoch": 0.34, + "learning_rate": 7.722024631477886e-06, + "loss": 0.644, + "step": 11480 + }, + { + "epoch": 0.34, + "learning_rate": 7.721625534049629e-06, + "loss": 0.6787, + "step": 11481 + }, + { + "epoch": 0.34, + "learning_rate": 7.721226411979188e-06, + "loss": 1.224, + "step": 11482 + }, + { + "epoch": 0.34, + "learning_rate": 7.720827265270176e-06, + "loss": 0.6919, + "step": 11483 + }, + { + "epoch": 0.34, + "learning_rate": 7.720428093926208e-06, + "loss": 0.6107, + "step": 11484 + }, + { + "epoch": 0.34, + "learning_rate": 7.720028897950895e-06, + "loss": 1.2494, + "step": 11485 + }, + { + "epoch": 0.34, + "learning_rate": 7.719629677347858e-06, + "loss": 0.7313, + "step": 11486 + }, + { + "epoch": 0.34, + "learning_rate": 7.719230432120703e-06, + "loss": 0.7902, + "step": 11487 + }, + { + "epoch": 0.34, + "learning_rate": 7.718831162273052e-06, + "loss": 0.718, + "step": 11488 + }, + { + "epoch": 0.34, + "learning_rate": 7.718431867808518e-06, + "loss": 0.9557, + "step": 11489 + }, + { + "epoch": 0.34, + "learning_rate": 7.718032548730714e-06, + "loss": 0.8865, + "step": 11490 + }, + { + "epoch": 0.34, + "learning_rate": 7.717633205043257e-06, + "loss": 0.7023, + "step": 11491 + }, + { + "epoch": 0.34, + "learning_rate": 7.717233836749764e-06, + "loss": 0.5678, + "step": 11492 + }, + { + "epoch": 0.34, + "learning_rate": 7.716834443853848e-06, + "loss": 0.4447, + "step": 11493 + }, + { + "epoch": 0.34, + "learning_rate": 7.71643502635913e-06, + "loss": 0.4072, + "step": 11494 + }, + { + "epoch": 0.34, + "learning_rate": 7.716035584269222e-06, + "loss": 0.7473, + "step": 11495 + }, + { + "epoch": 0.34, + "learning_rate": 7.71563611758774e-06, + "loss": 0.7103, + "step": 11496 + }, + { + "epoch": 0.34, + "learning_rate": 7.715236626318308e-06, + "loss": 0.8638, + "step": 11497 + }, + { + "epoch": 0.34, + "learning_rate": 7.714837110464535e-06, + "loss": 0.6139, + "step": 11498 + }, + { + "epoch": 0.34, + "learning_rate": 7.714437570030042e-06, + "loss": 0.6296, + "step": 11499 + }, + { + "epoch": 0.34, + "learning_rate": 7.714038005018445e-06, + "loss": 0.7417, + "step": 11500 + }, + { + "epoch": 0.34, + "learning_rate": 7.713638415433363e-06, + "loss": 0.506, + "step": 11501 + }, + { + "epoch": 0.34, + "learning_rate": 7.713238801278414e-06, + "loss": 0.6335, + "step": 11502 + }, + { + "epoch": 0.34, + "learning_rate": 7.712839162557215e-06, + "loss": 0.6691, + "step": 11503 + }, + { + "epoch": 0.34, + "learning_rate": 7.712439499273387e-06, + "loss": 0.9041, + "step": 11504 + }, + { + "epoch": 0.34, + "learning_rate": 7.712039811430545e-06, + "loss": 0.8134, + "step": 11505 + }, + { + "epoch": 0.34, + "learning_rate": 7.71164009903231e-06, + "loss": 0.5983, + "step": 11506 + }, + { + "epoch": 0.34, + "learning_rate": 7.711240362082303e-06, + "loss": 0.6673, + "step": 11507 + }, + { + "epoch": 0.34, + "learning_rate": 7.71084060058414e-06, + "loss": 0.6131, + "step": 11508 + }, + { + "epoch": 0.34, + "learning_rate": 7.71044081454144e-06, + "loss": 0.7559, + "step": 11509 + }, + { + "epoch": 0.34, + "learning_rate": 7.710041003957827e-06, + "loss": 0.98, + "step": 11510 + }, + { + "epoch": 0.34, + "learning_rate": 7.709641168836916e-06, + "loss": 0.7054, + "step": 11511 + }, + { + "epoch": 0.34, + "learning_rate": 7.709241309182331e-06, + "loss": 0.8668, + "step": 11512 + }, + { + "epoch": 0.34, + "learning_rate": 7.70884142499769e-06, + "loss": 0.7846, + "step": 11513 + }, + { + "epoch": 0.34, + "learning_rate": 7.708441516286616e-06, + "loss": 0.7337, + "step": 11514 + }, + { + "epoch": 0.34, + "learning_rate": 7.708041583052727e-06, + "loss": 0.6123, + "step": 11515 + }, + { + "epoch": 0.34, + "learning_rate": 7.707641625299647e-06, + "loss": 0.5899, + "step": 11516 + }, + { + "epoch": 0.34, + "learning_rate": 7.707241643030995e-06, + "loss": 0.7959, + "step": 11517 + }, + { + "epoch": 0.34, + "learning_rate": 7.706841636250393e-06, + "loss": 0.6159, + "step": 11518 + }, + { + "epoch": 0.34, + "learning_rate": 7.706441604961465e-06, + "loss": 0.5783, + "step": 11519 + }, + { + "epoch": 0.34, + "learning_rate": 7.706041549167829e-06, + "loss": 0.6222, + "step": 11520 + }, + { + "epoch": 0.34, + "learning_rate": 7.705641468873111e-06, + "loss": 0.7882, + "step": 11521 + }, + { + "epoch": 0.34, + "learning_rate": 7.705241364080932e-06, + "loss": 0.5843, + "step": 11522 + }, + { + "epoch": 0.34, + "learning_rate": 7.70484123479491e-06, + "loss": 0.6603, + "step": 11523 + }, + { + "epoch": 0.34, + "learning_rate": 7.704441081018677e-06, + "loss": 0.6842, + "step": 11524 + }, + { + "epoch": 0.34, + "learning_rate": 7.704040902755849e-06, + "loss": 0.7084, + "step": 11525 + }, + { + "epoch": 0.34, + "learning_rate": 7.703640700010054e-06, + "loss": 0.6967, + "step": 11526 + }, + { + "epoch": 0.34, + "learning_rate": 7.70324047278491e-06, + "loss": 0.6867, + "step": 11527 + }, + { + "epoch": 0.34, + "learning_rate": 7.702840221084045e-06, + "loss": 0.5471, + "step": 11528 + }, + { + "epoch": 0.34, + "learning_rate": 7.702439944911082e-06, + "loss": 0.8558, + "step": 11529 + }, + { + "epoch": 0.34, + "learning_rate": 7.702039644269645e-06, + "loss": 0.5321, + "step": 11530 + }, + { + "epoch": 0.34, + "learning_rate": 7.701639319163359e-06, + "loss": 0.705, + "step": 11531 + }, + { + "epoch": 0.34, + "learning_rate": 7.701238969595847e-06, + "loss": 0.619, + "step": 11532 + }, + { + "epoch": 0.34, + "learning_rate": 7.700838595570737e-06, + "loss": 1.0063, + "step": 11533 + }, + { + "epoch": 0.34, + "learning_rate": 7.70043819709165e-06, + "loss": 0.6943, + "step": 11534 + }, + { + "epoch": 0.34, + "learning_rate": 7.700037774162212e-06, + "loss": 0.6626, + "step": 11535 + }, + { + "epoch": 0.34, + "learning_rate": 7.69963732678605e-06, + "loss": 1.1851, + "step": 11536 + }, + { + "epoch": 0.34, + "learning_rate": 7.699236854966792e-06, + "loss": 1.0152, + "step": 11537 + }, + { + "epoch": 0.34, + "learning_rate": 7.698836358708062e-06, + "loss": 0.8516, + "step": 11538 + }, + { + "epoch": 0.34, + "learning_rate": 7.698435838013483e-06, + "loss": 0.5542, + "step": 11539 + }, + { + "epoch": 0.34, + "learning_rate": 7.698035292886685e-06, + "loss": 0.7588, + "step": 11540 + }, + { + "epoch": 0.34, + "learning_rate": 7.697634723331294e-06, + "loss": 0.9214, + "step": 11541 + }, + { + "epoch": 0.34, + "learning_rate": 7.697234129350936e-06, + "loss": 0.9194, + "step": 11542 + }, + { + "epoch": 0.34, + "learning_rate": 7.69683351094924e-06, + "loss": 0.8962, + "step": 11543 + }, + { + "epoch": 0.34, + "learning_rate": 7.696432868129831e-06, + "loss": 0.6714, + "step": 11544 + }, + { + "epoch": 0.34, + "learning_rate": 7.696032200896337e-06, + "loss": 0.7664, + "step": 11545 + }, + { + "epoch": 0.34, + "learning_rate": 7.695631509252386e-06, + "loss": 0.6394, + "step": 11546 + }, + { + "epoch": 0.34, + "learning_rate": 7.695230793201606e-06, + "loss": 0.7644, + "step": 11547 + }, + { + "epoch": 0.34, + "learning_rate": 7.694830052747627e-06, + "loss": 0.5917, + "step": 11548 + }, + { + "epoch": 0.34, + "learning_rate": 7.694429287894073e-06, + "loss": 0.7551, + "step": 11549 + }, + { + "epoch": 0.34, + "learning_rate": 7.694028498644575e-06, + "loss": 0.9587, + "step": 11550 + }, + { + "epoch": 0.34, + "learning_rate": 7.693627685002764e-06, + "loss": 0.8215, + "step": 11551 + }, + { + "epoch": 0.34, + "learning_rate": 7.693226846972266e-06, + "loss": 0.8178, + "step": 11552 + }, + { + "epoch": 0.34, + "learning_rate": 7.692825984556712e-06, + "loss": 0.8124, + "step": 11553 + }, + { + "epoch": 0.34, + "learning_rate": 7.692425097759731e-06, + "loss": 0.9185, + "step": 11554 + }, + { + "epoch": 0.34, + "learning_rate": 7.692024186584952e-06, + "loss": 0.7078, + "step": 11555 + }, + { + "epoch": 0.34, + "learning_rate": 7.691623251036006e-06, + "loss": 0.7644, + "step": 11556 + }, + { + "epoch": 0.34, + "learning_rate": 7.691222291116522e-06, + "loss": 0.6539, + "step": 11557 + }, + { + "epoch": 0.34, + "learning_rate": 7.690821306830131e-06, + "loss": 0.8472, + "step": 11558 + }, + { + "epoch": 0.34, + "learning_rate": 7.690420298180464e-06, + "loss": 0.5961, + "step": 11559 + }, + { + "epoch": 0.34, + "learning_rate": 7.690019265171151e-06, + "loss": 0.8408, + "step": 11560 + }, + { + "epoch": 0.34, + "learning_rate": 7.689618207805826e-06, + "loss": 0.8487, + "step": 11561 + }, + { + "epoch": 0.34, + "learning_rate": 7.689217126088116e-06, + "loss": 0.8515, + "step": 11562 + }, + { + "epoch": 0.34, + "learning_rate": 7.688816020021654e-06, + "loss": 0.692, + "step": 11563 + }, + { + "epoch": 0.34, + "learning_rate": 7.688414889610072e-06, + "loss": 0.8091, + "step": 11564 + }, + { + "epoch": 0.34, + "learning_rate": 7.688013734857003e-06, + "loss": 0.7981, + "step": 11565 + }, + { + "epoch": 0.34, + "learning_rate": 7.687612555766078e-06, + "loss": 0.85, + "step": 11566 + }, + { + "epoch": 0.34, + "learning_rate": 7.687211352340927e-06, + "loss": 0.9072, + "step": 11567 + }, + { + "epoch": 0.34, + "learning_rate": 7.686810124585187e-06, + "loss": 0.9538, + "step": 11568 + }, + { + "epoch": 0.34, + "learning_rate": 7.686408872502488e-06, + "loss": 0.7221, + "step": 11569 + }, + { + "epoch": 0.34, + "learning_rate": 7.686007596096463e-06, + "loss": 0.5866, + "step": 11570 + }, + { + "epoch": 0.34, + "learning_rate": 7.685606295370747e-06, + "loss": 0.7294, + "step": 11571 + }, + { + "epoch": 0.34, + "learning_rate": 7.685204970328974e-06, + "loss": 0.5893, + "step": 11572 + }, + { + "epoch": 0.34, + "learning_rate": 7.684803620974775e-06, + "loss": 0.5515, + "step": 11573 + }, + { + "epoch": 0.34, + "learning_rate": 7.684402247311783e-06, + "loss": 0.7172, + "step": 11574 + }, + { + "epoch": 0.34, + "learning_rate": 7.684000849343636e-06, + "loss": 0.9328, + "step": 11575 + }, + { + "epoch": 0.34, + "learning_rate": 7.683599427073967e-06, + "loss": 0.8361, + "step": 11576 + }, + { + "epoch": 0.34, + "learning_rate": 7.68319798050641e-06, + "loss": 0.4228, + "step": 11577 + }, + { + "epoch": 0.34, + "learning_rate": 7.6827965096446e-06, + "loss": 0.7201, + "step": 11578 + }, + { + "epoch": 0.34, + "learning_rate": 7.68239501449217e-06, + "loss": 0.705, + "step": 11579 + }, + { + "epoch": 0.34, + "learning_rate": 7.68199349505276e-06, + "loss": 0.612, + "step": 11580 + }, + { + "epoch": 0.34, + "learning_rate": 7.681591951330001e-06, + "loss": 0.9065, + "step": 11581 + }, + { + "epoch": 0.34, + "learning_rate": 7.68119038332753e-06, + "loss": 0.6226, + "step": 11582 + }, + { + "epoch": 0.34, + "learning_rate": 7.680788791048984e-06, + "loss": 0.7, + "step": 11583 + }, + { + "epoch": 0.34, + "learning_rate": 7.680387174497997e-06, + "loss": 0.7465, + "step": 11584 + }, + { + "epoch": 0.34, + "learning_rate": 7.679985533678208e-06, + "loss": 0.6275, + "step": 11585 + }, + { + "epoch": 0.34, + "learning_rate": 7.679583868593253e-06, + "loss": 0.864, + "step": 11586 + }, + { + "epoch": 0.34, + "learning_rate": 7.679182179246764e-06, + "loss": 0.6069, + "step": 11587 + }, + { + "epoch": 0.34, + "learning_rate": 7.678780465642385e-06, + "loss": 0.838, + "step": 11588 + }, + { + "epoch": 0.34, + "learning_rate": 7.678378727783748e-06, + "loss": 0.8082, + "step": 11589 + }, + { + "epoch": 0.34, + "learning_rate": 7.677976965674493e-06, + "loss": 0.5524, + "step": 11590 + }, + { + "epoch": 0.34, + "learning_rate": 7.67757517931826e-06, + "loss": 0.8583, + "step": 11591 + }, + { + "epoch": 0.34, + "learning_rate": 7.67717336871868e-06, + "loss": 0.6413, + "step": 11592 + }, + { + "epoch": 0.34, + "learning_rate": 7.676771533879396e-06, + "loss": 0.69, + "step": 11593 + }, + { + "epoch": 0.34, + "learning_rate": 7.676369674804048e-06, + "loss": 0.7267, + "step": 11594 + }, + { + "epoch": 0.34, + "learning_rate": 7.675967791496269e-06, + "loss": 0.5183, + "step": 11595 + }, + { + "epoch": 0.34, + "learning_rate": 7.675565883959702e-06, + "loss": 0.7664, + "step": 11596 + }, + { + "epoch": 0.34, + "learning_rate": 7.675163952197984e-06, + "loss": 0.8053, + "step": 11597 + }, + { + "epoch": 0.34, + "learning_rate": 7.674761996214755e-06, + "loss": 0.8703, + "step": 11598 + }, + { + "epoch": 0.34, + "learning_rate": 7.67436001601365e-06, + "loss": 0.9219, + "step": 11599 + }, + { + "epoch": 0.34, + "learning_rate": 7.673958011598319e-06, + "loss": 0.6778, + "step": 11600 + }, + { + "epoch": 0.34, + "learning_rate": 7.673555982972393e-06, + "loss": 0.5745, + "step": 11601 + }, + { + "epoch": 0.34, + "learning_rate": 7.673153930139515e-06, + "loss": 0.9645, + "step": 11602 + }, + { + "epoch": 0.34, + "learning_rate": 7.672751853103324e-06, + "loss": 0.9603, + "step": 11603 + }, + { + "epoch": 0.34, + "learning_rate": 7.672349751867462e-06, + "loss": 0.7483, + "step": 11604 + }, + { + "epoch": 0.34, + "learning_rate": 7.67194762643557e-06, + "loss": 0.5901, + "step": 11605 + }, + { + "epoch": 0.34, + "learning_rate": 7.671545476811286e-06, + "loss": 0.5961, + "step": 11606 + }, + { + "epoch": 0.34, + "learning_rate": 7.671143302998257e-06, + "loss": 0.8891, + "step": 11607 + }, + { + "epoch": 0.34, + "learning_rate": 7.670741105000116e-06, + "loss": 0.8836, + "step": 11608 + }, + { + "epoch": 0.34, + "learning_rate": 7.67033888282051e-06, + "loss": 0.6741, + "step": 11609 + }, + { + "epoch": 0.34, + "learning_rate": 7.669936636463082e-06, + "loss": 0.8707, + "step": 11610 + }, + { + "epoch": 0.34, + "learning_rate": 7.66953436593147e-06, + "loss": 0.8181, + "step": 11611 + }, + { + "epoch": 0.34, + "learning_rate": 7.66913207122932e-06, + "loss": 0.4935, + "step": 11612 + }, + { + "epoch": 0.34, + "learning_rate": 7.66872975236027e-06, + "loss": 0.5367, + "step": 11613 + }, + { + "epoch": 0.34, + "learning_rate": 7.668327409327968e-06, + "loss": 0.7179, + "step": 11614 + }, + { + "epoch": 0.34, + "learning_rate": 7.667925042136054e-06, + "loss": 0.8043, + "step": 11615 + }, + { + "epoch": 0.34, + "learning_rate": 7.66752265078817e-06, + "loss": 0.7298, + "step": 11616 + }, + { + "epoch": 0.34, + "learning_rate": 7.667120235287963e-06, + "loss": 0.5753, + "step": 11617 + }, + { + "epoch": 0.34, + "learning_rate": 7.666717795639071e-06, + "loss": 0.9256, + "step": 11618 + }, + { + "epoch": 0.34, + "learning_rate": 7.666315331845143e-06, + "loss": 0.9441, + "step": 11619 + }, + { + "epoch": 0.34, + "learning_rate": 7.665912843909822e-06, + "loss": 0.8334, + "step": 11620 + }, + { + "epoch": 0.34, + "learning_rate": 7.66551033183675e-06, + "loss": 0.7065, + "step": 11621 + }, + { + "epoch": 0.34, + "learning_rate": 7.665107795629573e-06, + "loss": 0.6407, + "step": 11622 + }, + { + "epoch": 0.34, + "learning_rate": 7.664705235291934e-06, + "loss": 0.7392, + "step": 11623 + }, + { + "epoch": 0.34, + "learning_rate": 7.664302650827481e-06, + "loss": 0.7025, + "step": 11624 + }, + { + "epoch": 0.34, + "learning_rate": 7.663900042239857e-06, + "loss": 0.7812, + "step": 11625 + }, + { + "epoch": 0.34, + "learning_rate": 7.663497409532707e-06, + "loss": 0.7202, + "step": 11626 + }, + { + "epoch": 0.34, + "learning_rate": 7.663094752709677e-06, + "loss": 0.8446, + "step": 11627 + }, + { + "epoch": 0.34, + "learning_rate": 7.662692071774414e-06, + "loss": 0.9171, + "step": 11628 + }, + { + "epoch": 0.34, + "learning_rate": 7.662289366730563e-06, + "loss": 0.5759, + "step": 11629 + }, + { + "epoch": 0.34, + "learning_rate": 7.661886637581768e-06, + "loss": 0.8169, + "step": 11630 + }, + { + "epoch": 0.34, + "learning_rate": 7.661483884331677e-06, + "loss": 0.7754, + "step": 11631 + }, + { + "epoch": 0.34, + "learning_rate": 7.661081106983939e-06, + "loss": 0.6116, + "step": 11632 + }, + { + "epoch": 0.34, + "learning_rate": 7.660678305542197e-06, + "loss": 0.7104, + "step": 11633 + }, + { + "epoch": 0.34, + "learning_rate": 7.660275480010102e-06, + "loss": 0.9688, + "step": 11634 + }, + { + "epoch": 0.34, + "learning_rate": 7.659872630391299e-06, + "loss": 0.6277, + "step": 11635 + }, + { + "epoch": 0.34, + "learning_rate": 7.659469756689435e-06, + "loss": 0.5929, + "step": 11636 + }, + { + "epoch": 0.34, + "learning_rate": 7.659066858908159e-06, + "loss": 0.8122, + "step": 11637 + }, + { + "epoch": 0.34, + "learning_rate": 7.658663937051117e-06, + "loss": 0.6174, + "step": 11638 + }, + { + "epoch": 0.34, + "learning_rate": 7.658260991121959e-06, + "loss": 0.9383, + "step": 11639 + }, + { + "epoch": 0.34, + "learning_rate": 7.657858021124331e-06, + "loss": 0.7743, + "step": 11640 + }, + { + "epoch": 0.34, + "learning_rate": 7.657455027061887e-06, + "loss": 0.6581, + "step": 11641 + }, + { + "epoch": 0.34, + "learning_rate": 7.65705200893827e-06, + "loss": 0.7454, + "step": 11642 + }, + { + "epoch": 0.34, + "learning_rate": 7.656648966757133e-06, + "loss": 0.8296, + "step": 11643 + }, + { + "epoch": 0.34, + "learning_rate": 7.656245900522122e-06, + "loss": 0.6901, + "step": 11644 + }, + { + "epoch": 0.34, + "learning_rate": 7.655842810236886e-06, + "loss": 0.6519, + "step": 11645 + }, + { + "epoch": 0.34, + "learning_rate": 7.655439695905078e-06, + "loss": 0.8603, + "step": 11646 + }, + { + "epoch": 0.34, + "learning_rate": 7.655036557530348e-06, + "loss": 0.7258, + "step": 11647 + }, + { + "epoch": 0.34, + "learning_rate": 7.654633395116341e-06, + "loss": 0.7368, + "step": 11648 + }, + { + "epoch": 0.34, + "learning_rate": 7.654230208666713e-06, + "loss": 0.8202, + "step": 11649 + }, + { + "epoch": 0.34, + "learning_rate": 7.653826998185113e-06, + "loss": 0.6895, + "step": 11650 + }, + { + "epoch": 0.34, + "learning_rate": 7.653423763675191e-06, + "loss": 0.707, + "step": 11651 + }, + { + "epoch": 0.34, + "learning_rate": 7.653020505140598e-06, + "loss": 0.6534, + "step": 11652 + }, + { + "epoch": 0.34, + "learning_rate": 7.652617222584983e-06, + "loss": 0.6156, + "step": 11653 + }, + { + "epoch": 0.34, + "learning_rate": 7.652213916012002e-06, + "loss": 0.7395, + "step": 11654 + }, + { + "epoch": 0.34, + "learning_rate": 7.651810585425303e-06, + "loss": 0.6986, + "step": 11655 + }, + { + "epoch": 0.34, + "learning_rate": 7.65140723082854e-06, + "loss": 0.9526, + "step": 11656 + }, + { + "epoch": 0.34, + "learning_rate": 7.651003852225364e-06, + "loss": 0.7258, + "step": 11657 + }, + { + "epoch": 0.34, + "learning_rate": 7.650600449619428e-06, + "loss": 0.6737, + "step": 11658 + }, + { + "epoch": 0.34, + "learning_rate": 7.650197023014383e-06, + "loss": 0.9175, + "step": 11659 + }, + { + "epoch": 0.34, + "learning_rate": 7.649793572413883e-06, + "loss": 0.8163, + "step": 11660 + }, + { + "epoch": 0.34, + "learning_rate": 7.649390097821581e-06, + "loss": 0.6552, + "step": 11661 + }, + { + "epoch": 0.34, + "learning_rate": 7.64898659924113e-06, + "loss": 0.521, + "step": 11662 + }, + { + "epoch": 0.34, + "learning_rate": 7.648583076676182e-06, + "loss": 0.8294, + "step": 11663 + }, + { + "epoch": 0.34, + "learning_rate": 7.648179530130391e-06, + "loss": 0.8697, + "step": 11664 + }, + { + "epoch": 0.34, + "learning_rate": 7.647775959607414e-06, + "loss": 1.0146, + "step": 11665 + }, + { + "epoch": 0.34, + "learning_rate": 7.647372365110901e-06, + "loss": 0.8594, + "step": 11666 + }, + { + "epoch": 0.34, + "learning_rate": 7.64696874664451e-06, + "loss": 0.9667, + "step": 11667 + }, + { + "epoch": 0.34, + "learning_rate": 7.64656510421189e-06, + "loss": 0.7851, + "step": 11668 + }, + { + "epoch": 0.34, + "learning_rate": 7.6461614378167e-06, + "loss": 0.877, + "step": 11669 + }, + { + "epoch": 0.34, + "learning_rate": 7.645757747462594e-06, + "loss": 0.6668, + "step": 11670 + }, + { + "epoch": 0.34, + "learning_rate": 7.645354033153228e-06, + "loss": 0.4832, + "step": 11671 + }, + { + "epoch": 0.34, + "learning_rate": 7.644950294892254e-06, + "loss": 0.7758, + "step": 11672 + }, + { + "epoch": 0.34, + "learning_rate": 7.64454653268333e-06, + "loss": 0.7417, + "step": 11673 + }, + { + "epoch": 0.34, + "learning_rate": 7.644142746530111e-06, + "loss": 0.7031, + "step": 11674 + }, + { + "epoch": 0.34, + "learning_rate": 7.643738936436255e-06, + "loss": 0.7933, + "step": 11675 + }, + { + "epoch": 0.34, + "learning_rate": 7.643335102405419e-06, + "loss": 0.6556, + "step": 11676 + }, + { + "epoch": 0.34, + "learning_rate": 7.642931244441251e-06, + "loss": 0.8863, + "step": 11677 + }, + { + "epoch": 0.34, + "learning_rate": 7.642527362547417e-06, + "loss": 0.7283, + "step": 11678 + }, + { + "epoch": 0.34, + "learning_rate": 7.64212345672757e-06, + "loss": 0.6393, + "step": 11679 + }, + { + "epoch": 0.34, + "learning_rate": 7.641719526985369e-06, + "loss": 0.8523, + "step": 11680 + }, + { + "epoch": 0.34, + "learning_rate": 7.641315573324467e-06, + "loss": 0.7215, + "step": 11681 + }, + { + "epoch": 0.34, + "learning_rate": 7.640911595748526e-06, + "loss": 0.9888, + "step": 11682 + }, + { + "epoch": 0.34, + "learning_rate": 7.640507594261202e-06, + "loss": 0.7114, + "step": 11683 + }, + { + "epoch": 0.34, + "learning_rate": 7.640103568866151e-06, + "loss": 0.5642, + "step": 11684 + }, + { + "epoch": 0.34, + "learning_rate": 7.639699519567035e-06, + "loss": 0.9228, + "step": 11685 + }, + { + "epoch": 0.34, + "learning_rate": 7.639295446367511e-06, + "loss": 0.7336, + "step": 11686 + }, + { + "epoch": 0.34, + "learning_rate": 7.638891349271237e-06, + "loss": 0.6721, + "step": 11687 + }, + { + "epoch": 0.34, + "learning_rate": 7.638487228281868e-06, + "loss": 1.0121, + "step": 11688 + }, + { + "epoch": 0.34, + "learning_rate": 7.63808308340307e-06, + "loss": 0.8765, + "step": 11689 + }, + { + "epoch": 0.34, + "learning_rate": 7.637678914638497e-06, + "loss": 0.7651, + "step": 11690 + }, + { + "epoch": 0.34, + "learning_rate": 7.637274721991812e-06, + "loss": 0.8464, + "step": 11691 + }, + { + "epoch": 0.34, + "learning_rate": 7.636870505466672e-06, + "loss": 0.8029, + "step": 11692 + }, + { + "epoch": 0.34, + "learning_rate": 7.636466265066737e-06, + "loss": 0.744, + "step": 11693 + }, + { + "epoch": 0.34, + "learning_rate": 7.63606200079567e-06, + "loss": 0.9921, + "step": 11694 + }, + { + "epoch": 0.34, + "learning_rate": 7.63565771265713e-06, + "loss": 0.7066, + "step": 11695 + }, + { + "epoch": 0.34, + "learning_rate": 7.635253400654774e-06, + "loss": 0.8908, + "step": 11696 + }, + { + "epoch": 0.34, + "learning_rate": 7.634849064792265e-06, + "loss": 0.8936, + "step": 11697 + }, + { + "epoch": 0.34, + "learning_rate": 7.634444705073267e-06, + "loss": 0.7433, + "step": 11698 + }, + { + "epoch": 0.34, + "learning_rate": 7.634040321501438e-06, + "loss": 0.6647, + "step": 11699 + }, + { + "epoch": 0.34, + "learning_rate": 7.633635914080438e-06, + "loss": 0.5746, + "step": 11700 + }, + { + "epoch": 0.34, + "learning_rate": 7.633231482813931e-06, + "loss": 0.7173, + "step": 11701 + }, + { + "epoch": 0.34, + "learning_rate": 7.63282702770558e-06, + "loss": 1.0062, + "step": 11702 + }, + { + "epoch": 0.34, + "learning_rate": 7.632422548759045e-06, + "loss": 0.9689, + "step": 11703 + }, + { + "epoch": 0.34, + "learning_rate": 7.632018045977989e-06, + "loss": 0.6223, + "step": 11704 + }, + { + "epoch": 0.34, + "learning_rate": 7.631613519366072e-06, + "loss": 0.7344, + "step": 11705 + }, + { + "epoch": 0.34, + "learning_rate": 7.631208968926961e-06, + "loss": 0.7125, + "step": 11706 + }, + { + "epoch": 0.34, + "learning_rate": 7.630804394664315e-06, + "loss": 0.7481, + "step": 11707 + }, + { + "epoch": 0.34, + "learning_rate": 7.6303997965818e-06, + "loss": 0.511, + "step": 11708 + }, + { + "epoch": 0.34, + "learning_rate": 7.629995174683077e-06, + "loss": 0.896, + "step": 11709 + }, + { + "epoch": 0.34, + "learning_rate": 7.629590528971811e-06, + "loss": 0.703, + "step": 11710 + }, + { + "epoch": 0.34, + "learning_rate": 7.629185859451667e-06, + "loss": 0.6657, + "step": 11711 + }, + { + "epoch": 0.34, + "learning_rate": 7.628781166126305e-06, + "loss": 0.8078, + "step": 11712 + }, + { + "epoch": 0.34, + "learning_rate": 7.62837644899939e-06, + "loss": 0.8015, + "step": 11713 + }, + { + "epoch": 0.34, + "learning_rate": 7.6279717080745905e-06, + "loss": 0.7133, + "step": 11714 + }, + { + "epoch": 0.34, + "learning_rate": 7.627566943355569e-06, + "loss": 0.5759, + "step": 11715 + }, + { + "epoch": 0.34, + "learning_rate": 7.627162154845989e-06, + "loss": 0.7723, + "step": 11716 + }, + { + "epoch": 0.34, + "learning_rate": 7.626757342549515e-06, + "loss": 0.5396, + "step": 11717 + }, + { + "epoch": 0.34, + "learning_rate": 7.626352506469815e-06, + "loss": 0.6548, + "step": 11718 + }, + { + "epoch": 0.34, + "learning_rate": 7.625947646610553e-06, + "loss": 0.6065, + "step": 11719 + }, + { + "epoch": 0.34, + "learning_rate": 7.625542762975396e-06, + "loss": 0.6567, + "step": 11720 + }, + { + "epoch": 0.34, + "learning_rate": 7.625137855568006e-06, + "loss": 1.0578, + "step": 11721 + }, + { + "epoch": 0.34, + "learning_rate": 7.624732924392052e-06, + "loss": 0.6891, + "step": 11722 + }, + { + "epoch": 0.34, + "learning_rate": 7.624327969451202e-06, + "loss": 0.693, + "step": 11723 + }, + { + "epoch": 0.34, + "learning_rate": 7.62392299074912e-06, + "loss": 0.6797, + "step": 11724 + }, + { + "epoch": 0.34, + "learning_rate": 7.623517988289473e-06, + "loss": 0.8013, + "step": 11725 + }, + { + "epoch": 0.34, + "learning_rate": 7.623112962075929e-06, + "loss": 0.9622, + "step": 11726 + }, + { + "epoch": 0.34, + "learning_rate": 7.622707912112154e-06, + "loss": 0.6956, + "step": 11727 + }, + { + "epoch": 0.34, + "learning_rate": 7.622302838401816e-06, + "loss": 0.7256, + "step": 11728 + }, + { + "epoch": 0.34, + "learning_rate": 7.6218977409485825e-06, + "loss": 0.5553, + "step": 11729 + }, + { + "epoch": 0.34, + "learning_rate": 7.621492619756124e-06, + "loss": 0.936, + "step": 11730 + }, + { + "epoch": 0.34, + "learning_rate": 7.6210874748281025e-06, + "loss": 0.827, + "step": 11731 + }, + { + "epoch": 0.34, + "learning_rate": 7.620682306168191e-06, + "loss": 0.7543, + "step": 11732 + }, + { + "epoch": 0.34, + "learning_rate": 7.620277113780057e-06, + "loss": 0.9858, + "step": 11733 + }, + { + "epoch": 0.34, + "learning_rate": 7.619871897667369e-06, + "loss": 0.8678, + "step": 11734 + }, + { + "epoch": 0.34, + "learning_rate": 7.6194666578337965e-06, + "loss": 0.6172, + "step": 11735 + }, + { + "epoch": 0.34, + "learning_rate": 7.619061394283007e-06, + "loss": 0.6204, + "step": 11736 + }, + { + "epoch": 0.34, + "learning_rate": 7.618656107018672e-06, + "loss": 0.7634, + "step": 11737 + }, + { + "epoch": 0.34, + "learning_rate": 7.6182507960444584e-06, + "loss": 0.7754, + "step": 11738 + }, + { + "epoch": 0.34, + "learning_rate": 7.617845461364039e-06, + "loss": 0.8959, + "step": 11739 + }, + { + "epoch": 0.34, + "learning_rate": 7.617440102981082e-06, + "loss": 0.6677, + "step": 11740 + }, + { + "epoch": 0.34, + "learning_rate": 7.617034720899257e-06, + "loss": 0.9569, + "step": 11741 + }, + { + "epoch": 0.34, + "learning_rate": 7.616629315122235e-06, + "loss": 0.5905, + "step": 11742 + }, + { + "epoch": 0.34, + "learning_rate": 7.6162238856536885e-06, + "loss": 0.7778, + "step": 11743 + }, + { + "epoch": 0.35, + "learning_rate": 7.615818432497286e-06, + "loss": 0.7479, + "step": 11744 + }, + { + "epoch": 0.35, + "learning_rate": 7.6154129556567e-06, + "loss": 0.8815, + "step": 11745 + }, + { + "epoch": 0.35, + "learning_rate": 7.615007455135601e-06, + "loss": 0.8917, + "step": 11746 + }, + { + "epoch": 0.35, + "learning_rate": 7.61460193093766e-06, + "loss": 0.5773, + "step": 11747 + }, + { + "epoch": 0.35, + "learning_rate": 7.61419638306655e-06, + "loss": 0.6896, + "step": 11748 + }, + { + "epoch": 0.35, + "learning_rate": 7.613790811525943e-06, + "loss": 0.8189, + "step": 11749 + }, + { + "epoch": 0.35, + "learning_rate": 7.613385216319509e-06, + "loss": 0.3764, + "step": 11750 + }, + { + "epoch": 0.35, + "learning_rate": 7.61297959745092e-06, + "loss": 0.5852, + "step": 11751 + }, + { + "epoch": 0.35, + "learning_rate": 7.612573954923853e-06, + "loss": 1.0377, + "step": 11752 + }, + { + "epoch": 0.35, + "learning_rate": 7.612168288741977e-06, + "loss": 0.6142, + "step": 11753 + }, + { + "epoch": 0.35, + "learning_rate": 7.611762598908967e-06, + "loss": 0.8114, + "step": 11754 + }, + { + "epoch": 0.35, + "learning_rate": 7.611356885428494e-06, + "loss": 0.856, + "step": 11755 + }, + { + "epoch": 0.35, + "learning_rate": 7.610951148304233e-06, + "loss": 0.7981, + "step": 11756 + }, + { + "epoch": 0.35, + "learning_rate": 7.610545387539858e-06, + "loss": 0.7459, + "step": 11757 + }, + { + "epoch": 0.35, + "learning_rate": 7.610139603139042e-06, + "loss": 0.6269, + "step": 11758 + }, + { + "epoch": 0.35, + "learning_rate": 7.609733795105458e-06, + "loss": 1.0277, + "step": 11759 + }, + { + "epoch": 0.35, + "learning_rate": 7.609327963442783e-06, + "loss": 0.6363, + "step": 11760 + }, + { + "epoch": 0.35, + "learning_rate": 7.608922108154688e-06, + "loss": 0.8504, + "step": 11761 + }, + { + "epoch": 0.35, + "learning_rate": 7.608516229244852e-06, + "loss": 0.8267, + "step": 11762 + }, + { + "epoch": 0.35, + "learning_rate": 7.608110326716946e-06, + "loss": 0.8698, + "step": 11763 + }, + { + "epoch": 0.35, + "learning_rate": 7.607704400574648e-06, + "loss": 0.676, + "step": 11764 + }, + { + "epoch": 0.35, + "learning_rate": 7.607298450821632e-06, + "loss": 0.7256, + "step": 11765 + }, + { + "epoch": 0.35, + "learning_rate": 7.6068924774615725e-06, + "loss": 0.7611, + "step": 11766 + }, + { + "epoch": 0.35, + "learning_rate": 7.606486480498148e-06, + "loss": 0.6297, + "step": 11767 + }, + { + "epoch": 0.35, + "learning_rate": 7.60608045993503e-06, + "loss": 0.7879, + "step": 11768 + }, + { + "epoch": 0.35, + "learning_rate": 7.605674415775901e-06, + "loss": 0.8339, + "step": 11769 + }, + { + "epoch": 0.35, + "learning_rate": 7.605268348024432e-06, + "loss": 0.9323, + "step": 11770 + }, + { + "epoch": 0.35, + "learning_rate": 7.6048622566843e-06, + "loss": 0.9278, + "step": 11771 + }, + { + "epoch": 0.35, + "learning_rate": 7.604456141759187e-06, + "loss": 0.9511, + "step": 11772 + }, + { + "epoch": 0.35, + "learning_rate": 7.6040500032527646e-06, + "loss": 0.6171, + "step": 11773 + }, + { + "epoch": 0.35, + "learning_rate": 7.603643841168711e-06, + "loss": 0.8899, + "step": 11774 + }, + { + "epoch": 0.35, + "learning_rate": 7.603237655510707e-06, + "loss": 0.8851, + "step": 11775 + }, + { + "epoch": 0.35, + "learning_rate": 7.6028314462824256e-06, + "loss": 0.9643, + "step": 11776 + }, + { + "epoch": 0.35, + "learning_rate": 7.602425213487547e-06, + "loss": 0.8243, + "step": 11777 + }, + { + "epoch": 0.35, + "learning_rate": 7.602018957129751e-06, + "loss": 0.7917, + "step": 11778 + }, + { + "epoch": 0.35, + "learning_rate": 7.601612677212714e-06, + "loss": 0.8282, + "step": 11779 + }, + { + "epoch": 0.35, + "learning_rate": 7.601206373740116e-06, + "loss": 0.5785, + "step": 11780 + }, + { + "epoch": 0.35, + "learning_rate": 7.600800046715631e-06, + "loss": 0.7915, + "step": 11781 + }, + { + "epoch": 0.35, + "learning_rate": 7.6003936961429445e-06, + "loss": 0.9236, + "step": 11782 + }, + { + "epoch": 0.35, + "learning_rate": 7.599987322025732e-06, + "loss": 0.9155, + "step": 11783 + }, + { + "epoch": 0.35, + "learning_rate": 7.599580924367673e-06, + "loss": 0.6032, + "step": 11784 + }, + { + "epoch": 0.35, + "learning_rate": 7.599174503172449e-06, + "loss": 0.9258, + "step": 11785 + }, + { + "epoch": 0.35, + "learning_rate": 7.598768058443738e-06, + "loss": 0.8916, + "step": 11786 + }, + { + "epoch": 0.35, + "learning_rate": 7.5983615901852204e-06, + "loss": 0.7494, + "step": 11787 + }, + { + "epoch": 0.35, + "learning_rate": 7.597955098400577e-06, + "loss": 0.652, + "step": 11788 + }, + { + "epoch": 0.35, + "learning_rate": 7.597548583093488e-06, + "loss": 0.6901, + "step": 11789 + }, + { + "epoch": 0.35, + "learning_rate": 7.597142044267634e-06, + "loss": 0.8775, + "step": 11790 + }, + { + "epoch": 0.35, + "learning_rate": 7.596735481926695e-06, + "loss": 0.9144, + "step": 11791 + }, + { + "epoch": 0.35, + "learning_rate": 7.5963288960743545e-06, + "loss": 0.6159, + "step": 11792 + }, + { + "epoch": 0.35, + "learning_rate": 7.59592228671429e-06, + "loss": 0.8703, + "step": 11793 + }, + { + "epoch": 0.35, + "learning_rate": 7.595515653850188e-06, + "loss": 0.8288, + "step": 11794 + }, + { + "epoch": 0.35, + "learning_rate": 7.595108997485726e-06, + "loss": 0.8496, + "step": 11795 + }, + { + "epoch": 0.35, + "learning_rate": 7.594702317624587e-06, + "loss": 0.9454, + "step": 11796 + }, + { + "epoch": 0.35, + "learning_rate": 7.594295614270455e-06, + "loss": 0.7144, + "step": 11797 + }, + { + "epoch": 0.35, + "learning_rate": 7.59388888742701e-06, + "loss": 0.886, + "step": 11798 + }, + { + "epoch": 0.35, + "learning_rate": 7.5934821370979375e-06, + "loss": 0.6548, + "step": 11799 + }, + { + "epoch": 0.35, + "learning_rate": 7.593075363286917e-06, + "loss": 0.7888, + "step": 11800 + }, + { + "epoch": 0.35, + "learning_rate": 7.592668565997633e-06, + "loss": 0.6832, + "step": 11801 + }, + { + "epoch": 0.35, + "learning_rate": 7.592261745233769e-06, + "loss": 0.3308, + "step": 11802 + }, + { + "epoch": 0.35, + "learning_rate": 7.59185490099901e-06, + "loss": 0.9324, + "step": 11803 + }, + { + "epoch": 0.35, + "learning_rate": 7.591448033297035e-06, + "loss": 0.5634, + "step": 11804 + }, + { + "epoch": 0.35, + "learning_rate": 7.5910411421315326e-06, + "loss": 0.637, + "step": 11805 + }, + { + "epoch": 0.35, + "learning_rate": 7.590634227506184e-06, + "loss": 0.5762, + "step": 11806 + }, + { + "epoch": 0.35, + "learning_rate": 7.590227289424675e-06, + "loss": 0.77, + "step": 11807 + }, + { + "epoch": 0.35, + "learning_rate": 7.589820327890689e-06, + "loss": 0.6041, + "step": 11808 + }, + { + "epoch": 0.35, + "learning_rate": 7.589413342907912e-06, + "loss": 1.2172, + "step": 11809 + }, + { + "epoch": 0.35, + "learning_rate": 7.589006334480027e-06, + "loss": 0.6632, + "step": 11810 + }, + { + "epoch": 0.35, + "learning_rate": 7.588599302610722e-06, + "loss": 0.7374, + "step": 11811 + }, + { + "epoch": 0.35, + "learning_rate": 7.588192247303681e-06, + "loss": 1.0658, + "step": 11812 + }, + { + "epoch": 0.35, + "learning_rate": 7.5877851685625866e-06, + "loss": 1.0123, + "step": 11813 + }, + { + "epoch": 0.35, + "learning_rate": 7.58737806639113e-06, + "loss": 0.4719, + "step": 11814 + }, + { + "epoch": 0.35, + "learning_rate": 7.586970940792993e-06, + "loss": 0.7246, + "step": 11815 + }, + { + "epoch": 0.35, + "learning_rate": 7.586563791771864e-06, + "loss": 0.8515, + "step": 11816 + }, + { + "epoch": 0.35, + "learning_rate": 7.5861566193314285e-06, + "loss": 0.5426, + "step": 11817 + }, + { + "epoch": 0.35, + "learning_rate": 7.585749423475373e-06, + "loss": 0.7628, + "step": 11818 + }, + { + "epoch": 0.35, + "learning_rate": 7.585342204207384e-06, + "loss": 0.7091, + "step": 11819 + }, + { + "epoch": 0.35, + "learning_rate": 7.58493496153115e-06, + "loss": 0.8378, + "step": 11820 + }, + { + "epoch": 0.35, + "learning_rate": 7.584527695450357e-06, + "loss": 0.7831, + "step": 11821 + }, + { + "epoch": 0.35, + "learning_rate": 7.584120405968693e-06, + "loss": 0.7467, + "step": 11822 + }, + { + "epoch": 0.35, + "learning_rate": 7.583713093089847e-06, + "loss": 0.6895, + "step": 11823 + }, + { + "epoch": 0.35, + "learning_rate": 7.583305756817505e-06, + "loss": 0.6021, + "step": 11824 + }, + { + "epoch": 0.35, + "learning_rate": 7.582898397155354e-06, + "loss": 0.5999, + "step": 11825 + }, + { + "epoch": 0.35, + "learning_rate": 7.582491014107085e-06, + "loss": 0.6266, + "step": 11826 + }, + { + "epoch": 0.35, + "learning_rate": 7.582083607676387e-06, + "loss": 0.8309, + "step": 11827 + }, + { + "epoch": 0.35, + "learning_rate": 7.581676177866946e-06, + "loss": 0.6681, + "step": 11828 + }, + { + "epoch": 0.35, + "learning_rate": 7.581268724682451e-06, + "loss": 0.8049, + "step": 11829 + }, + { + "epoch": 0.35, + "learning_rate": 7.580861248126594e-06, + "loss": 0.6798, + "step": 11830 + }, + { + "epoch": 0.35, + "learning_rate": 7.580453748203063e-06, + "loss": 0.7288, + "step": 11831 + }, + { + "epoch": 0.35, + "learning_rate": 7.580046224915546e-06, + "loss": 0.623, + "step": 11832 + }, + { + "epoch": 0.35, + "learning_rate": 7.579638678267735e-06, + "loss": 0.6215, + "step": 11833 + }, + { + "epoch": 0.35, + "learning_rate": 7.579231108263319e-06, + "loss": 0.8958, + "step": 11834 + }, + { + "epoch": 0.35, + "learning_rate": 7.578823514905988e-06, + "loss": 0.8271, + "step": 11835 + }, + { + "epoch": 0.35, + "learning_rate": 7.578415898199433e-06, + "loss": 0.7985, + "step": 11836 + }, + { + "epoch": 0.35, + "learning_rate": 7.578008258147345e-06, + "loss": 0.9146, + "step": 11837 + }, + { + "epoch": 0.35, + "learning_rate": 7.577600594753413e-06, + "loss": 0.9248, + "step": 11838 + }, + { + "epoch": 0.35, + "learning_rate": 7.57719290802133e-06, + "loss": 0.7538, + "step": 11839 + }, + { + "epoch": 0.35, + "learning_rate": 7.576785197954786e-06, + "loss": 0.5029, + "step": 11840 + }, + { + "epoch": 0.35, + "learning_rate": 7.576377464557474e-06, + "loss": 0.6361, + "step": 11841 + }, + { + "epoch": 0.35, + "learning_rate": 7.575969707833086e-06, + "loss": 0.8119, + "step": 11842 + }, + { + "epoch": 0.35, + "learning_rate": 7.575561927785311e-06, + "loss": 0.5099, + "step": 11843 + }, + { + "epoch": 0.35, + "learning_rate": 7.575154124417845e-06, + "loss": 0.8844, + "step": 11844 + }, + { + "epoch": 0.35, + "learning_rate": 7.574746297734375e-06, + "loss": 0.6873, + "step": 11845 + }, + { + "epoch": 0.35, + "learning_rate": 7.5743384477386e-06, + "loss": 0.8268, + "step": 11846 + }, + { + "epoch": 0.35, + "learning_rate": 7.5739305744342075e-06, + "loss": 0.5932, + "step": 11847 + }, + { + "epoch": 0.35, + "learning_rate": 7.573522677824894e-06, + "loss": 0.4823, + "step": 11848 + }, + { + "epoch": 0.35, + "learning_rate": 7.5731147579143505e-06, + "loss": 0.5348, + "step": 11849 + }, + { + "epoch": 0.35, + "learning_rate": 7.572706814706272e-06, + "loss": 0.7919, + "step": 11850 + }, + { + "epoch": 0.35, + "learning_rate": 7.5722988482043505e-06, + "loss": 0.608, + "step": 11851 + }, + { + "epoch": 0.35, + "learning_rate": 7.5718908584122805e-06, + "loss": 0.4057, + "step": 11852 + }, + { + "epoch": 0.35, + "learning_rate": 7.571482845333756e-06, + "loss": 0.6099, + "step": 11853 + }, + { + "epoch": 0.35, + "learning_rate": 7.571074808972472e-06, + "loss": 0.8014, + "step": 11854 + }, + { + "epoch": 0.35, + "learning_rate": 7.5706667493321205e-06, + "loss": 0.8216, + "step": 11855 + }, + { + "epoch": 0.35, + "learning_rate": 7.570258666416399e-06, + "loss": 0.5684, + "step": 11856 + }, + { + "epoch": 0.35, + "learning_rate": 7.569850560229002e-06, + "loss": 1.0111, + "step": 11857 + }, + { + "epoch": 0.35, + "learning_rate": 7.569442430773624e-06, + "loss": 0.7431, + "step": 11858 + }, + { + "epoch": 0.35, + "learning_rate": 7.569034278053959e-06, + "loss": 0.8324, + "step": 11859 + }, + { + "epoch": 0.35, + "learning_rate": 7.568626102073704e-06, + "loss": 1.0065, + "step": 11860 + }, + { + "epoch": 0.35, + "learning_rate": 7.568217902836554e-06, + "loss": 0.5753, + "step": 11861 + }, + { + "epoch": 0.35, + "learning_rate": 7.567809680346206e-06, + "loss": 0.6688, + "step": 11862 + }, + { + "epoch": 0.35, + "learning_rate": 7.567401434606356e-06, + "loss": 0.9931, + "step": 11863 + }, + { + "epoch": 0.35, + "learning_rate": 7.566993165620698e-06, + "loss": 0.6484, + "step": 11864 + }, + { + "epoch": 0.35, + "learning_rate": 7.566584873392933e-06, + "loss": 0.5652, + "step": 11865 + }, + { + "epoch": 0.35, + "learning_rate": 7.566176557926752e-06, + "loss": 0.7538, + "step": 11866 + }, + { + "epoch": 0.35, + "learning_rate": 7.565768219225858e-06, + "loss": 0.81, + "step": 11867 + }, + { + "epoch": 0.35, + "learning_rate": 7.565359857293943e-06, + "loss": 0.6945, + "step": 11868 + }, + { + "epoch": 0.35, + "learning_rate": 7.5649514721347084e-06, + "loss": 0.8263, + "step": 11869 + }, + { + "epoch": 0.35, + "learning_rate": 7.56454306375185e-06, + "loss": 0.5474, + "step": 11870 + }, + { + "epoch": 0.35, + "learning_rate": 7.564134632149065e-06, + "loss": 0.7751, + "step": 11871 + }, + { + "epoch": 0.35, + "learning_rate": 7.563726177330053e-06, + "loss": 1.0819, + "step": 11872 + }, + { + "epoch": 0.35, + "learning_rate": 7.5633176992985105e-06, + "loss": 1.0174, + "step": 11873 + }, + { + "epoch": 0.35, + "learning_rate": 7.562909198058135e-06, + "loss": 0.9027, + "step": 11874 + }, + { + "epoch": 0.35, + "learning_rate": 7.5625006736126295e-06, + "loss": 0.9046, + "step": 11875 + }, + { + "epoch": 0.35, + "learning_rate": 7.56209212596569e-06, + "loss": 0.794, + "step": 11876 + }, + { + "epoch": 0.35, + "learning_rate": 7.561683555121015e-06, + "loss": 0.8081, + "step": 11877 + }, + { + "epoch": 0.35, + "learning_rate": 7.561274961082305e-06, + "loss": 0.6848, + "step": 11878 + }, + { + "epoch": 0.35, + "learning_rate": 7.560866343853259e-06, + "loss": 0.7247, + "step": 11879 + }, + { + "epoch": 0.35, + "learning_rate": 7.560457703437578e-06, + "loss": 0.8721, + "step": 11880 + }, + { + "epoch": 0.35, + "learning_rate": 7.560049039838962e-06, + "loss": 0.6237, + "step": 11881 + }, + { + "epoch": 0.35, + "learning_rate": 7.559640353061107e-06, + "loss": 0.7206, + "step": 11882 + }, + { + "epoch": 0.35, + "learning_rate": 7.559231643107718e-06, + "loss": 0.5759, + "step": 11883 + }, + { + "epoch": 0.35, + "learning_rate": 7.5588229099824925e-06, + "loss": 0.5797, + "step": 11884 + }, + { + "epoch": 0.35, + "learning_rate": 7.558414153689133e-06, + "loss": 0.6661, + "step": 11885 + }, + { + "epoch": 0.35, + "learning_rate": 7.5580053742313405e-06, + "loss": 0.5232, + "step": 11886 + }, + { + "epoch": 0.35, + "learning_rate": 7.557596571612817e-06, + "loss": 0.6787, + "step": 11887 + }, + { + "epoch": 0.35, + "learning_rate": 7.557187745837263e-06, + "loss": 0.6384, + "step": 11888 + }, + { + "epoch": 0.35, + "learning_rate": 7.556778896908377e-06, + "loss": 1.0652, + "step": 11889 + }, + { + "epoch": 0.35, + "learning_rate": 7.556370024829864e-06, + "loss": 0.8877, + "step": 11890 + }, + { + "epoch": 0.35, + "learning_rate": 7.555961129605427e-06, + "loss": 0.7483, + "step": 11891 + }, + { + "epoch": 0.35, + "learning_rate": 7.5555522112387656e-06, + "loss": 0.663, + "step": 11892 + }, + { + "epoch": 0.35, + "learning_rate": 7.555143269733585e-06, + "loss": 0.6865, + "step": 11893 + }, + { + "epoch": 0.35, + "learning_rate": 7.554734305093584e-06, + "loss": 0.6933, + "step": 11894 + }, + { + "epoch": 0.35, + "learning_rate": 7.554325317322468e-06, + "loss": 0.5644, + "step": 11895 + }, + { + "epoch": 0.35, + "learning_rate": 7.553916306423942e-06, + "loss": 0.4723, + "step": 11896 + }, + { + "epoch": 0.35, + "learning_rate": 7.553507272401705e-06, + "loss": 0.4975, + "step": 11897 + }, + { + "epoch": 0.35, + "learning_rate": 7.5530982152594645e-06, + "loss": 0.7868, + "step": 11898 + }, + { + "epoch": 0.35, + "learning_rate": 7.5526891350009205e-06, + "loss": 0.9254, + "step": 11899 + }, + { + "epoch": 0.35, + "learning_rate": 7.552280031629778e-06, + "loss": 0.6808, + "step": 11900 + }, + { + "epoch": 0.35, + "learning_rate": 7.551870905149743e-06, + "loss": 0.9473, + "step": 11901 + }, + { + "epoch": 0.35, + "learning_rate": 7.551461755564519e-06, + "loss": 0.5935, + "step": 11902 + }, + { + "epoch": 0.35, + "learning_rate": 7.551052582877809e-06, + "loss": 0.8705, + "step": 11903 + }, + { + "epoch": 0.35, + "learning_rate": 7.5506433870933194e-06, + "loss": 0.6939, + "step": 11904 + }, + { + "epoch": 0.35, + "learning_rate": 7.550234168214754e-06, + "loss": 0.7536, + "step": 11905 + }, + { + "epoch": 0.35, + "learning_rate": 7.549824926245819e-06, + "loss": 0.8311, + "step": 11906 + }, + { + "epoch": 0.35, + "learning_rate": 7.54941566119022e-06, + "loss": 0.7794, + "step": 11907 + }, + { + "epoch": 0.35, + "learning_rate": 7.549006373051662e-06, + "loss": 0.5731, + "step": 11908 + }, + { + "epoch": 0.35, + "learning_rate": 7.548597061833849e-06, + "loss": 0.7005, + "step": 11909 + }, + { + "epoch": 0.35, + "learning_rate": 7.54818772754049e-06, + "loss": 0.7493, + "step": 11910 + }, + { + "epoch": 0.35, + "learning_rate": 7.547778370175289e-06, + "loss": 0.7961, + "step": 11911 + }, + { + "epoch": 0.35, + "learning_rate": 7.547368989741954e-06, + "loss": 0.8589, + "step": 11912 + }, + { + "epoch": 0.35, + "learning_rate": 7.546959586244192e-06, + "loss": 0.5805, + "step": 11913 + }, + { + "epoch": 0.35, + "learning_rate": 7.5465501596857045e-06, + "loss": 0.7971, + "step": 11914 + }, + { + "epoch": 0.35, + "learning_rate": 7.5461407100702065e-06, + "loss": 0.6488, + "step": 11915 + }, + { + "epoch": 0.35, + "learning_rate": 7.545731237401401e-06, + "loss": 0.672, + "step": 11916 + }, + { + "epoch": 0.35, + "learning_rate": 7.5453217416829936e-06, + "loss": 0.8391, + "step": 11917 + }, + { + "epoch": 0.35, + "learning_rate": 7.544912222918696e-06, + "loss": 0.666, + "step": 11918 + }, + { + "epoch": 0.35, + "learning_rate": 7.544502681112214e-06, + "loss": 0.9564, + "step": 11919 + }, + { + "epoch": 0.35, + "learning_rate": 7.544093116267257e-06, + "loss": 0.8561, + "step": 11920 + }, + { + "epoch": 0.35, + "learning_rate": 7.543683528387532e-06, + "loss": 0.8594, + "step": 11921 + }, + { + "epoch": 0.35, + "learning_rate": 7.543273917476748e-06, + "loss": 0.67, + "step": 11922 + }, + { + "epoch": 0.35, + "learning_rate": 7.542864283538613e-06, + "loss": 0.7067, + "step": 11923 + }, + { + "epoch": 0.35, + "learning_rate": 7.542454626576836e-06, + "loss": 0.8871, + "step": 11924 + }, + { + "epoch": 0.35, + "learning_rate": 7.542044946595126e-06, + "loss": 0.6807, + "step": 11925 + }, + { + "epoch": 0.35, + "learning_rate": 7.5416352435971955e-06, + "loss": 0.7656, + "step": 11926 + }, + { + "epoch": 0.35, + "learning_rate": 7.54122551758675e-06, + "loss": 0.9576, + "step": 11927 + }, + { + "epoch": 0.35, + "learning_rate": 7.5408157685675e-06, + "loss": 0.6278, + "step": 11928 + }, + { + "epoch": 0.35, + "learning_rate": 7.540405996543157e-06, + "loss": 0.8742, + "step": 11929 + }, + { + "epoch": 0.35, + "learning_rate": 7.53999620151743e-06, + "loss": 0.5131, + "step": 11930 + }, + { + "epoch": 0.35, + "learning_rate": 7.539586383494031e-06, + "loss": 0.9004, + "step": 11931 + }, + { + "epoch": 0.35, + "learning_rate": 7.539176542476667e-06, + "loss": 0.6032, + "step": 11932 + }, + { + "epoch": 0.35, + "learning_rate": 7.5387666784690514e-06, + "loss": 0.8074, + "step": 11933 + }, + { + "epoch": 0.35, + "learning_rate": 7.538356791474897e-06, + "loss": 1.0179, + "step": 11934 + }, + { + "epoch": 0.35, + "learning_rate": 7.537946881497911e-06, + "loss": 0.6036, + "step": 11935 + }, + { + "epoch": 0.35, + "learning_rate": 7.537536948541808e-06, + "loss": 0.9347, + "step": 11936 + }, + { + "epoch": 0.35, + "learning_rate": 7.537126992610297e-06, + "loss": 0.7706, + "step": 11937 + }, + { + "epoch": 0.35, + "learning_rate": 7.536717013707091e-06, + "loss": 0.773, + "step": 11938 + }, + { + "epoch": 0.35, + "learning_rate": 7.5363070118359015e-06, + "loss": 0.6723, + "step": 11939 + }, + { + "epoch": 0.35, + "learning_rate": 7.535896987000444e-06, + "loss": 1.0312, + "step": 11940 + }, + { + "epoch": 0.35, + "learning_rate": 7.535486939204426e-06, + "loss": 0.5365, + "step": 11941 + }, + { + "epoch": 0.35, + "learning_rate": 7.5350768684515656e-06, + "loss": 0.7603, + "step": 11942 + }, + { + "epoch": 0.35, + "learning_rate": 7.5346667747455686e-06, + "loss": 0.7571, + "step": 11943 + }, + { + "epoch": 0.35, + "learning_rate": 7.534256658090153e-06, + "loss": 0.7262, + "step": 11944 + }, + { + "epoch": 0.35, + "learning_rate": 7.533846518489033e-06, + "loss": 0.7369, + "step": 11945 + }, + { + "epoch": 0.35, + "learning_rate": 7.53343635594592e-06, + "loss": 0.6907, + "step": 11946 + }, + { + "epoch": 0.35, + "learning_rate": 7.533026170464527e-06, + "loss": 0.8616, + "step": 11947 + }, + { + "epoch": 0.35, + "learning_rate": 7.532615962048569e-06, + "loss": 0.8636, + "step": 11948 + }, + { + "epoch": 0.35, + "learning_rate": 7.532205730701761e-06, + "loss": 0.8174, + "step": 11949 + }, + { + "epoch": 0.35, + "learning_rate": 7.531795476427815e-06, + "loss": 0.8878, + "step": 11950 + }, + { + "epoch": 0.35, + "learning_rate": 7.531385199230448e-06, + "loss": 0.6647, + "step": 11951 + }, + { + "epoch": 0.35, + "learning_rate": 7.530974899113372e-06, + "loss": 0.6621, + "step": 11952 + }, + { + "epoch": 0.35, + "learning_rate": 7.530564576080304e-06, + "loss": 0.4415, + "step": 11953 + }, + { + "epoch": 0.35, + "learning_rate": 7.530154230134958e-06, + "loss": 0.8245, + "step": 11954 + }, + { + "epoch": 0.35, + "learning_rate": 7.529743861281051e-06, + "loss": 0.7449, + "step": 11955 + }, + { + "epoch": 0.35, + "learning_rate": 7.529333469522298e-06, + "loss": 0.7073, + "step": 11956 + }, + { + "epoch": 0.35, + "learning_rate": 7.528923054862413e-06, + "loss": 0.7719, + "step": 11957 + }, + { + "epoch": 0.35, + "learning_rate": 7.528512617305115e-06, + "loss": 0.7177, + "step": 11958 + }, + { + "epoch": 0.35, + "learning_rate": 7.528102156854118e-06, + "loss": 0.7149, + "step": 11959 + }, + { + "epoch": 0.35, + "learning_rate": 7.527691673513138e-06, + "loss": 1.0459, + "step": 11960 + }, + { + "epoch": 0.35, + "learning_rate": 7.527281167285894e-06, + "loss": 0.7736, + "step": 11961 + }, + { + "epoch": 0.35, + "learning_rate": 7.5268706381761e-06, + "loss": 0.8027, + "step": 11962 + }, + { + "epoch": 0.35, + "learning_rate": 7.526460086187475e-06, + "loss": 0.5079, + "step": 11963 + }, + { + "epoch": 0.35, + "learning_rate": 7.5260495113237345e-06, + "loss": 0.6852, + "step": 11964 + }, + { + "epoch": 0.35, + "learning_rate": 7.525638913588598e-06, + "loss": 0.6534, + "step": 11965 + }, + { + "epoch": 0.35, + "learning_rate": 7.525228292985782e-06, + "loss": 0.8723, + "step": 11966 + }, + { + "epoch": 0.35, + "learning_rate": 7.524817649519005e-06, + "loss": 0.7232, + "step": 11967 + }, + { + "epoch": 0.35, + "learning_rate": 7.524406983191984e-06, + "loss": 0.7617, + "step": 11968 + }, + { + "epoch": 0.35, + "learning_rate": 7.52399629400844e-06, + "loss": 0.6422, + "step": 11969 + }, + { + "epoch": 0.35, + "learning_rate": 7.523585581972086e-06, + "loss": 0.7111, + "step": 11970 + }, + { + "epoch": 0.35, + "learning_rate": 7.5231748470866465e-06, + "loss": 0.7029, + "step": 11971 + }, + { + "epoch": 0.35, + "learning_rate": 7.522764089355836e-06, + "loss": 0.6992, + "step": 11972 + }, + { + "epoch": 0.35, + "learning_rate": 7.5223533087833765e-06, + "loss": 0.7349, + "step": 11973 + }, + { + "epoch": 0.35, + "learning_rate": 7.521942505372985e-06, + "loss": 0.691, + "step": 11974 + }, + { + "epoch": 0.35, + "learning_rate": 7.521531679128384e-06, + "loss": 0.9037, + "step": 11975 + }, + { + "epoch": 0.35, + "learning_rate": 7.5211208300532905e-06, + "loss": 0.8762, + "step": 11976 + }, + { + "epoch": 0.35, + "learning_rate": 7.5207099581514255e-06, + "loss": 0.9335, + "step": 11977 + }, + { + "epoch": 0.35, + "learning_rate": 7.5202990634265085e-06, + "loss": 0.6764, + "step": 11978 + }, + { + "epoch": 0.35, + "learning_rate": 7.5198881458822605e-06, + "loss": 0.7105, + "step": 11979 + }, + { + "epoch": 0.35, + "learning_rate": 7.519477205522403e-06, + "loss": 0.7304, + "step": 11980 + }, + { + "epoch": 0.35, + "learning_rate": 7.5190662423506546e-06, + "loss": 0.519, + "step": 11981 + }, + { + "epoch": 0.35, + "learning_rate": 7.518655256370737e-06, + "loss": 0.8259, + "step": 11982 + }, + { + "epoch": 0.35, + "learning_rate": 7.518244247586372e-06, + "loss": 0.5426, + "step": 11983 + }, + { + "epoch": 0.35, + "learning_rate": 7.51783321600128e-06, + "loss": 0.6342, + "step": 11984 + }, + { + "epoch": 0.35, + "learning_rate": 7.517422161619183e-06, + "loss": 0.804, + "step": 11985 + }, + { + "epoch": 0.35, + "learning_rate": 7.517011084443804e-06, + "loss": 0.6722, + "step": 11986 + }, + { + "epoch": 0.35, + "learning_rate": 7.516599984478864e-06, + "loss": 0.909, + "step": 11987 + }, + { + "epoch": 0.35, + "learning_rate": 7.516188861728084e-06, + "loss": 0.5477, + "step": 11988 + }, + { + "epoch": 0.35, + "learning_rate": 7.515777716195189e-06, + "loss": 0.7305, + "step": 11989 + }, + { + "epoch": 0.35, + "learning_rate": 7.5153665478838975e-06, + "loss": 0.766, + "step": 11990 + }, + { + "epoch": 0.35, + "learning_rate": 7.5149553567979375e-06, + "loss": 0.5147, + "step": 11991 + }, + { + "epoch": 0.35, + "learning_rate": 7.514544142941029e-06, + "loss": 0.9246, + "step": 11992 + }, + { + "epoch": 0.35, + "learning_rate": 7.514132906316896e-06, + "loss": 1.0052, + "step": 11993 + }, + { + "epoch": 0.35, + "learning_rate": 7.513721646929259e-06, + "loss": 0.6491, + "step": 11994 + }, + { + "epoch": 0.35, + "learning_rate": 7.513310364781846e-06, + "loss": 0.8137, + "step": 11995 + }, + { + "epoch": 0.35, + "learning_rate": 7.512899059878379e-06, + "loss": 0.7136, + "step": 11996 + }, + { + "epoch": 0.35, + "learning_rate": 7.512487732222581e-06, + "loss": 0.5589, + "step": 11997 + }, + { + "epoch": 0.35, + "learning_rate": 7.512076381818178e-06, + "loss": 1.3003, + "step": 11998 + }, + { + "epoch": 0.35, + "learning_rate": 7.511665008668894e-06, + "loss": 0.7001, + "step": 11999 + }, + { + "epoch": 0.35, + "learning_rate": 7.511253612778453e-06, + "loss": 0.7867, + "step": 12000 + }, + { + "epoch": 0.35, + "learning_rate": 7.51084219415058e-06, + "loss": 0.886, + "step": 12001 + }, + { + "epoch": 0.35, + "learning_rate": 7.510430752789002e-06, + "loss": 0.5948, + "step": 12002 + }, + { + "epoch": 0.35, + "learning_rate": 7.510019288697441e-06, + "loss": 0.6438, + "step": 12003 + }, + { + "epoch": 0.35, + "learning_rate": 7.509607801879625e-06, + "loss": 0.6085, + "step": 12004 + }, + { + "epoch": 0.35, + "learning_rate": 7.509196292339278e-06, + "loss": 0.9817, + "step": 12005 + }, + { + "epoch": 0.35, + "learning_rate": 7.508784760080127e-06, + "loss": 0.5376, + "step": 12006 + }, + { + "epoch": 0.35, + "learning_rate": 7.508373205105898e-06, + "loss": 0.8661, + "step": 12007 + }, + { + "epoch": 0.35, + "learning_rate": 7.507961627420317e-06, + "loss": 0.9049, + "step": 12008 + }, + { + "epoch": 0.35, + "learning_rate": 7.507550027027111e-06, + "loss": 0.8069, + "step": 12009 + }, + { + "epoch": 0.35, + "learning_rate": 7.507138403930005e-06, + "loss": 0.6037, + "step": 12010 + }, + { + "epoch": 0.35, + "learning_rate": 7.5067267581327296e-06, + "loss": 0.6431, + "step": 12011 + }, + { + "epoch": 0.35, + "learning_rate": 7.506315089639008e-06, + "loss": 0.6066, + "step": 12012 + }, + { + "epoch": 0.35, + "learning_rate": 7.50590339845257e-06, + "loss": 0.6777, + "step": 12013 + }, + { + "epoch": 0.35, + "learning_rate": 7.505491684577142e-06, + "loss": 0.6448, + "step": 12014 + }, + { + "epoch": 0.35, + "learning_rate": 7.505079948016452e-06, + "loss": 0.6417, + "step": 12015 + }, + { + "epoch": 0.35, + "learning_rate": 7.504668188774227e-06, + "loss": 0.5057, + "step": 12016 + }, + { + "epoch": 0.35, + "learning_rate": 7.504256406854195e-06, + "loss": 0.5239, + "step": 12017 + }, + { + "epoch": 0.35, + "learning_rate": 7.503844602260089e-06, + "loss": 0.7502, + "step": 12018 + }, + { + "epoch": 0.35, + "learning_rate": 7.503432774995632e-06, + "loss": 0.8003, + "step": 12019 + }, + { + "epoch": 0.35, + "learning_rate": 7.5030209250645545e-06, + "loss": 0.5846, + "step": 12020 + }, + { + "epoch": 0.35, + "learning_rate": 7.502609052470587e-06, + "loss": 0.8671, + "step": 12021 + }, + { + "epoch": 0.35, + "learning_rate": 7.502197157217457e-06, + "loss": 0.7022, + "step": 12022 + }, + { + "epoch": 0.35, + "learning_rate": 7.5017852393088945e-06, + "loss": 1.1326, + "step": 12023 + }, + { + "epoch": 0.35, + "learning_rate": 7.501373298748629e-06, + "loss": 0.8315, + "step": 12024 + }, + { + "epoch": 0.35, + "learning_rate": 7.50096133554039e-06, + "loss": 0.6669, + "step": 12025 + }, + { + "epoch": 0.35, + "learning_rate": 7.500549349687907e-06, + "loss": 0.6925, + "step": 12026 + }, + { + "epoch": 0.35, + "learning_rate": 7.500137341194912e-06, + "loss": 0.8788, + "step": 12027 + }, + { + "epoch": 0.35, + "learning_rate": 7.499725310065134e-06, + "loss": 0.6082, + "step": 12028 + }, + { + "epoch": 0.35, + "learning_rate": 7.499313256302305e-06, + "loss": 0.7335, + "step": 12029 + }, + { + "epoch": 0.35, + "learning_rate": 7.498901179910154e-06, + "loss": 0.644, + "step": 12030 + }, + { + "epoch": 0.35, + "learning_rate": 7.498489080892414e-06, + "loss": 0.7845, + "step": 12031 + }, + { + "epoch": 0.35, + "learning_rate": 7.498076959252813e-06, + "loss": 0.7939, + "step": 12032 + }, + { + "epoch": 0.35, + "learning_rate": 7.497664814995087e-06, + "loss": 0.8268, + "step": 12033 + }, + { + "epoch": 0.35, + "learning_rate": 7.497252648122963e-06, + "loss": 0.7747, + "step": 12034 + }, + { + "epoch": 0.35, + "learning_rate": 7.4968404586401765e-06, + "loss": 0.6421, + "step": 12035 + }, + { + "epoch": 0.35, + "learning_rate": 7.496428246550458e-06, + "loss": 0.6089, + "step": 12036 + }, + { + "epoch": 0.35, + "learning_rate": 7.496016011857538e-06, + "loss": 0.9144, + "step": 12037 + }, + { + "epoch": 0.35, + "learning_rate": 7.495603754565153e-06, + "loss": 0.7436, + "step": 12038 + }, + { + "epoch": 0.35, + "learning_rate": 7.495191474677033e-06, + "loss": 0.7484, + "step": 12039 + }, + { + "epoch": 0.35, + "learning_rate": 7.494779172196911e-06, + "loss": 1.1476, + "step": 12040 + }, + { + "epoch": 0.35, + "learning_rate": 7.494366847128521e-06, + "loss": 0.7144, + "step": 12041 + }, + { + "epoch": 0.35, + "learning_rate": 7.493954499475593e-06, + "loss": 0.69, + "step": 12042 + }, + { + "epoch": 0.35, + "learning_rate": 7.493542129241866e-06, + "loss": 0.6637, + "step": 12043 + }, + { + "epoch": 0.35, + "learning_rate": 7.493129736431071e-06, + "loss": 0.5181, + "step": 12044 + }, + { + "epoch": 0.35, + "learning_rate": 7.492717321046941e-06, + "loss": 0.68, + "step": 12045 + }, + { + "epoch": 0.35, + "learning_rate": 7.49230488309321e-06, + "loss": 0.535, + "step": 12046 + }, + { + "epoch": 0.35, + "learning_rate": 7.491892422573613e-06, + "loss": 0.8568, + "step": 12047 + }, + { + "epoch": 0.35, + "learning_rate": 7.491479939491886e-06, + "loss": 0.6453, + "step": 12048 + }, + { + "epoch": 0.35, + "learning_rate": 7.491067433851762e-06, + "loss": 0.5651, + "step": 12049 + }, + { + "epoch": 0.35, + "learning_rate": 7.490654905656977e-06, + "loss": 0.9051, + "step": 12050 + }, + { + "epoch": 0.35, + "learning_rate": 7.490242354911264e-06, + "loss": 0.627, + "step": 12051 + }, + { + "epoch": 0.35, + "learning_rate": 7.4898297816183605e-06, + "loss": 0.8072, + "step": 12052 + }, + { + "epoch": 0.35, + "learning_rate": 7.489417185782002e-06, + "loss": 0.7718, + "step": 12053 + }, + { + "epoch": 0.35, + "learning_rate": 7.489004567405923e-06, + "loss": 0.8241, + "step": 12054 + }, + { + "epoch": 0.35, + "learning_rate": 7.48859192649386e-06, + "loss": 0.6369, + "step": 12055 + }, + { + "epoch": 0.35, + "learning_rate": 7.4881792630495485e-06, + "loss": 0.8363, + "step": 12056 + }, + { + "epoch": 0.35, + "learning_rate": 7.487766577076725e-06, + "loss": 0.9086, + "step": 12057 + }, + { + "epoch": 0.35, + "learning_rate": 7.487353868579127e-06, + "loss": 0.5755, + "step": 12058 + }, + { + "epoch": 0.35, + "learning_rate": 7.486941137560491e-06, + "loss": 0.5395, + "step": 12059 + }, + { + "epoch": 0.35, + "learning_rate": 7.486528384024554e-06, + "loss": 0.8126, + "step": 12060 + }, + { + "epoch": 0.35, + "learning_rate": 7.486115607975051e-06, + "loss": 0.8602, + "step": 12061 + }, + { + "epoch": 0.35, + "learning_rate": 7.485702809415723e-06, + "loss": 0.8708, + "step": 12062 + }, + { + "epoch": 0.35, + "learning_rate": 7.485289988350305e-06, + "loss": 0.7632, + "step": 12063 + }, + { + "epoch": 0.35, + "learning_rate": 7.484877144782537e-06, + "loss": 0.942, + "step": 12064 + }, + { + "epoch": 0.35, + "learning_rate": 7.484464278716154e-06, + "loss": 0.7345, + "step": 12065 + }, + { + "epoch": 0.35, + "learning_rate": 7.484051390154895e-06, + "loss": 0.6716, + "step": 12066 + }, + { + "epoch": 0.35, + "learning_rate": 7.4836384791025e-06, + "loss": 0.9595, + "step": 12067 + }, + { + "epoch": 0.35, + "learning_rate": 7.4832255455627064e-06, + "loss": 0.8399, + "step": 12068 + }, + { + "epoch": 0.35, + "learning_rate": 7.482812589539255e-06, + "loss": 0.542, + "step": 12069 + }, + { + "epoch": 0.35, + "learning_rate": 7.482399611035881e-06, + "loss": 0.7806, + "step": 12070 + }, + { + "epoch": 0.35, + "learning_rate": 7.481986610056327e-06, + "loss": 1.0966, + "step": 12071 + }, + { + "epoch": 0.35, + "learning_rate": 7.48157358660433e-06, + "loss": 0.9171, + "step": 12072 + }, + { + "epoch": 0.35, + "learning_rate": 7.481160540683632e-06, + "loss": 0.799, + "step": 12073 + }, + { + "epoch": 0.35, + "learning_rate": 7.48074747229797e-06, + "loss": 0.7861, + "step": 12074 + }, + { + "epoch": 0.35, + "learning_rate": 7.480334381451087e-06, + "loss": 0.8037, + "step": 12075 + }, + { + "epoch": 0.35, + "learning_rate": 7.4799212681467195e-06, + "loss": 0.8309, + "step": 12076 + }, + { + "epoch": 0.35, + "learning_rate": 7.479508132388611e-06, + "loss": 1.0373, + "step": 12077 + }, + { + "epoch": 0.35, + "learning_rate": 7.479094974180501e-06, + "loss": 0.8527, + "step": 12078 + }, + { + "epoch": 0.35, + "learning_rate": 7.47868179352613e-06, + "loss": 0.7359, + "step": 12079 + }, + { + "epoch": 0.35, + "learning_rate": 7.478268590429241e-06, + "loss": 0.507, + "step": 12080 + }, + { + "epoch": 0.35, + "learning_rate": 7.477855364893573e-06, + "loss": 0.7043, + "step": 12081 + }, + { + "epoch": 0.35, + "learning_rate": 7.477442116922868e-06, + "loss": 0.7927, + "step": 12082 + }, + { + "epoch": 0.35, + "learning_rate": 7.477028846520868e-06, + "loss": 0.7214, + "step": 12083 + }, + { + "epoch": 0.36, + "learning_rate": 7.476615553691316e-06, + "loss": 0.5892, + "step": 12084 + }, + { + "epoch": 0.36, + "learning_rate": 7.476202238437952e-06, + "loss": 0.7448, + "step": 12085 + }, + { + "epoch": 0.36, + "learning_rate": 7.475788900764518e-06, + "loss": 0.7856, + "step": 12086 + }, + { + "epoch": 0.36, + "learning_rate": 7.475375540674758e-06, + "loss": 0.689, + "step": 12087 + }, + { + "epoch": 0.36, + "learning_rate": 7.474962158172414e-06, + "loss": 0.5449, + "step": 12088 + }, + { + "epoch": 0.36, + "learning_rate": 7.4745487532612295e-06, + "loss": 0.6803, + "step": 12089 + }, + { + "epoch": 0.36, + "learning_rate": 7.474135325944947e-06, + "loss": 0.6988, + "step": 12090 + }, + { + "epoch": 0.36, + "learning_rate": 7.473721876227309e-06, + "loss": 0.5787, + "step": 12091 + }, + { + "epoch": 0.36, + "learning_rate": 7.47330840411206e-06, + "loss": 0.4174, + "step": 12092 + }, + { + "epoch": 0.36, + "learning_rate": 7.472894909602944e-06, + "loss": 0.5787, + "step": 12093 + }, + { + "epoch": 0.36, + "learning_rate": 7.472481392703704e-06, + "loss": 0.7789, + "step": 12094 + }, + { + "epoch": 0.36, + "learning_rate": 7.472067853418085e-06, + "loss": 0.6583, + "step": 12095 + }, + { + "epoch": 0.36, + "learning_rate": 7.471654291749828e-06, + "loss": 0.6768, + "step": 12096 + }, + { + "epoch": 0.36, + "learning_rate": 7.471240707702682e-06, + "loss": 0.6972, + "step": 12097 + }, + { + "epoch": 0.36, + "learning_rate": 7.470827101280389e-06, + "loss": 0.9113, + "step": 12098 + }, + { + "epoch": 0.36, + "learning_rate": 7.470413472486696e-06, + "loss": 0.7952, + "step": 12099 + }, + { + "epoch": 0.36, + "learning_rate": 7.469999821325346e-06, + "loss": 0.9036, + "step": 12100 + }, + { + "epoch": 0.36, + "learning_rate": 7.469586147800084e-06, + "loss": 0.7555, + "step": 12101 + }, + { + "epoch": 0.36, + "learning_rate": 7.469172451914657e-06, + "loss": 0.5573, + "step": 12102 + }, + { + "epoch": 0.36, + "learning_rate": 7.468758733672811e-06, + "loss": 0.7948, + "step": 12103 + }, + { + "epoch": 0.36, + "learning_rate": 7.468344993078291e-06, + "loss": 0.696, + "step": 12104 + }, + { + "epoch": 0.36, + "learning_rate": 7.467931230134843e-06, + "loss": 0.7805, + "step": 12105 + }, + { + "epoch": 0.36, + "learning_rate": 7.467517444846212e-06, + "loss": 0.7625, + "step": 12106 + }, + { + "epoch": 0.36, + "learning_rate": 7.467103637216148e-06, + "loss": 0.9351, + "step": 12107 + }, + { + "epoch": 0.36, + "learning_rate": 7.466689807248395e-06, + "loss": 1.0293, + "step": 12108 + }, + { + "epoch": 0.36, + "learning_rate": 7.4662759549467e-06, + "loss": 0.6743, + "step": 12109 + }, + { + "epoch": 0.36, + "learning_rate": 7.465862080314812e-06, + "loss": 0.7569, + "step": 12110 + }, + { + "epoch": 0.36, + "learning_rate": 7.465448183356476e-06, + "loss": 0.756, + "step": 12111 + }, + { + "epoch": 0.36, + "learning_rate": 7.4650342640754404e-06, + "loss": 0.6038, + "step": 12112 + }, + { + "epoch": 0.36, + "learning_rate": 7.4646203224754535e-06, + "loss": 0.5804, + "step": 12113 + }, + { + "epoch": 0.36, + "learning_rate": 7.464206358560263e-06, + "loss": 0.894, + "step": 12114 + }, + { + "epoch": 0.36, + "learning_rate": 7.463792372333616e-06, + "loss": 0.5443, + "step": 12115 + }, + { + "epoch": 0.36, + "learning_rate": 7.463378363799262e-06, + "loss": 0.9151, + "step": 12116 + }, + { + "epoch": 0.36, + "learning_rate": 7.462964332960949e-06, + "loss": 0.6073, + "step": 12117 + }, + { + "epoch": 0.36, + "learning_rate": 7.462550279822426e-06, + "loss": 0.6668, + "step": 12118 + }, + { + "epoch": 0.36, + "learning_rate": 7.462136204387441e-06, + "loss": 0.6895, + "step": 12119 + }, + { + "epoch": 0.36, + "learning_rate": 7.461722106659746e-06, + "loss": 0.6823, + "step": 12120 + }, + { + "epoch": 0.36, + "learning_rate": 7.461307986643085e-06, + "loss": 0.5056, + "step": 12121 + }, + { + "epoch": 0.36, + "learning_rate": 7.460893844341213e-06, + "loss": 0.8368, + "step": 12122 + }, + { + "epoch": 0.36, + "learning_rate": 7.460479679757877e-06, + "loss": 1.0251, + "step": 12123 + }, + { + "epoch": 0.36, + "learning_rate": 7.460065492896827e-06, + "loss": 1.0127, + "step": 12124 + }, + { + "epoch": 0.36, + "learning_rate": 7.459651283761815e-06, + "loss": 0.7948, + "step": 12125 + }, + { + "epoch": 0.36, + "learning_rate": 7.459237052356587e-06, + "loss": 0.7867, + "step": 12126 + }, + { + "epoch": 0.36, + "learning_rate": 7.458822798684899e-06, + "loss": 0.758, + "step": 12127 + }, + { + "epoch": 0.36, + "learning_rate": 7.458408522750499e-06, + "loss": 0.7013, + "step": 12128 + }, + { + "epoch": 0.36, + "learning_rate": 7.4579942245571366e-06, + "loss": 0.7514, + "step": 12129 + }, + { + "epoch": 0.36, + "learning_rate": 7.457579904108565e-06, + "loss": 0.7637, + "step": 12130 + }, + { + "epoch": 0.36, + "learning_rate": 7.457165561408536e-06, + "loss": 0.5638, + "step": 12131 + }, + { + "epoch": 0.36, + "learning_rate": 7.456751196460799e-06, + "loss": 0.853, + "step": 12132 + }, + { + "epoch": 0.36, + "learning_rate": 7.456336809269109e-06, + "loss": 0.892, + "step": 12133 + }, + { + "epoch": 0.36, + "learning_rate": 7.4559223998372155e-06, + "loss": 0.7698, + "step": 12134 + }, + { + "epoch": 0.36, + "learning_rate": 7.455507968168869e-06, + "loss": 1.0308, + "step": 12135 + }, + { + "epoch": 0.36, + "learning_rate": 7.455093514267825e-06, + "loss": 0.8225, + "step": 12136 + }, + { + "epoch": 0.36, + "learning_rate": 7.454679038137834e-06, + "loss": 0.4777, + "step": 12137 + }, + { + "epoch": 0.36, + "learning_rate": 7.454264539782651e-06, + "loss": 0.6049, + "step": 12138 + }, + { + "epoch": 0.36, + "learning_rate": 7.453850019206027e-06, + "loss": 0.7609, + "step": 12139 + }, + { + "epoch": 0.36, + "learning_rate": 7.453435476411715e-06, + "loss": 0.7962, + "step": 12140 + }, + { + "epoch": 0.36, + "learning_rate": 7.45302091140347e-06, + "loss": 0.6196, + "step": 12141 + }, + { + "epoch": 0.36, + "learning_rate": 7.4526063241850454e-06, + "loss": 0.8392, + "step": 12142 + }, + { + "epoch": 0.36, + "learning_rate": 7.452191714760193e-06, + "loss": 0.8772, + "step": 12143 + }, + { + "epoch": 0.36, + "learning_rate": 7.4517770831326694e-06, + "loss": 0.6357, + "step": 12144 + }, + { + "epoch": 0.36, + "learning_rate": 7.451362429306226e-06, + "loss": 0.6743, + "step": 12145 + }, + { + "epoch": 0.36, + "learning_rate": 7.450947753284618e-06, + "loss": 0.5184, + "step": 12146 + }, + { + "epoch": 0.36, + "learning_rate": 7.4505330550716025e-06, + "loss": 0.6513, + "step": 12147 + }, + { + "epoch": 0.36, + "learning_rate": 7.450118334670933e-06, + "loss": 0.9571, + "step": 12148 + }, + { + "epoch": 0.36, + "learning_rate": 7.449703592086361e-06, + "loss": 0.813, + "step": 12149 + }, + { + "epoch": 0.36, + "learning_rate": 7.449288827321646e-06, + "loss": 0.746, + "step": 12150 + }, + { + "epoch": 0.36, + "learning_rate": 7.448874040380541e-06, + "loss": 0.9346, + "step": 12151 + }, + { + "epoch": 0.36, + "learning_rate": 7.4484592312668035e-06, + "loss": 0.8383, + "step": 12152 + }, + { + "epoch": 0.36, + "learning_rate": 7.448044399984188e-06, + "loss": 0.6843, + "step": 12153 + }, + { + "epoch": 0.36, + "learning_rate": 7.44762954653645e-06, + "loss": 0.8393, + "step": 12154 + }, + { + "epoch": 0.36, + "learning_rate": 7.447214670927347e-06, + "loss": 0.7532, + "step": 12155 + }, + { + "epoch": 0.36, + "learning_rate": 7.446799773160633e-06, + "loss": 0.615, + "step": 12156 + }, + { + "epoch": 0.36, + "learning_rate": 7.446384853240068e-06, + "loss": 0.671, + "step": 12157 + }, + { + "epoch": 0.36, + "learning_rate": 7.445969911169408e-06, + "loss": 0.8696, + "step": 12158 + }, + { + "epoch": 0.36, + "learning_rate": 7.4455549469524066e-06, + "loss": 0.6094, + "step": 12159 + }, + { + "epoch": 0.36, + "learning_rate": 7.445139960592823e-06, + "loss": 0.8336, + "step": 12160 + }, + { + "epoch": 0.36, + "learning_rate": 7.444724952094416e-06, + "loss": 0.5247, + "step": 12161 + }, + { + "epoch": 0.36, + "learning_rate": 7.4443099214609425e-06, + "loss": 0.9945, + "step": 12162 + }, + { + "epoch": 0.36, + "learning_rate": 7.44389486869616e-06, + "loss": 0.8926, + "step": 12163 + }, + { + "epoch": 0.36, + "learning_rate": 7.4434797938038265e-06, + "loss": 0.9069, + "step": 12164 + }, + { + "epoch": 0.36, + "learning_rate": 7.443064696787699e-06, + "loss": 0.9492, + "step": 12165 + }, + { + "epoch": 0.36, + "learning_rate": 7.442649577651537e-06, + "loss": 0.7464, + "step": 12166 + }, + { + "epoch": 0.36, + "learning_rate": 7.4422344363991e-06, + "loss": 0.5802, + "step": 12167 + }, + { + "epoch": 0.36, + "learning_rate": 7.441819273034145e-06, + "loss": 0.7088, + "step": 12168 + }, + { + "epoch": 0.36, + "learning_rate": 7.441404087560433e-06, + "loss": 0.8873, + "step": 12169 + }, + { + "epoch": 0.36, + "learning_rate": 7.44098887998172e-06, + "loss": 0.561, + "step": 12170 + }, + { + "epoch": 0.36, + "learning_rate": 7.440573650301769e-06, + "loss": 0.8592, + "step": 12171 + }, + { + "epoch": 0.36, + "learning_rate": 7.4401583985243375e-06, + "loss": 0.9641, + "step": 12172 + }, + { + "epoch": 0.36, + "learning_rate": 7.439743124653185e-06, + "loss": 0.8712, + "step": 12173 + }, + { + "epoch": 0.36, + "learning_rate": 7.439327828692073e-06, + "loss": 0.9554, + "step": 12174 + }, + { + "epoch": 0.36, + "learning_rate": 7.4389125106447605e-06, + "loss": 0.6782, + "step": 12175 + }, + { + "epoch": 0.36, + "learning_rate": 7.4384971705150084e-06, + "loss": 0.8309, + "step": 12176 + }, + { + "epoch": 0.36, + "learning_rate": 7.438081808306577e-06, + "loss": 0.5098, + "step": 12177 + }, + { + "epoch": 0.36, + "learning_rate": 7.437666424023227e-06, + "loss": 0.6589, + "step": 12178 + }, + { + "epoch": 0.36, + "learning_rate": 7.437251017668719e-06, + "loss": 0.9105, + "step": 12179 + }, + { + "epoch": 0.36, + "learning_rate": 7.436835589246816e-06, + "loss": 0.6981, + "step": 12180 + }, + { + "epoch": 0.36, + "learning_rate": 7.4364201387612764e-06, + "loss": 0.7755, + "step": 12181 + }, + { + "epoch": 0.36, + "learning_rate": 7.436004666215865e-06, + "loss": 0.6574, + "step": 12182 + }, + { + "epoch": 0.36, + "learning_rate": 7.435589171614341e-06, + "loss": 0.8846, + "step": 12183 + }, + { + "epoch": 0.36, + "learning_rate": 7.435173654960469e-06, + "loss": 0.6912, + "step": 12184 + }, + { + "epoch": 0.36, + "learning_rate": 7.4347581162580076e-06, + "loss": 0.7362, + "step": 12185 + }, + { + "epoch": 0.36, + "learning_rate": 7.434342555510723e-06, + "loss": 0.8435, + "step": 12186 + }, + { + "epoch": 0.36, + "learning_rate": 7.433926972722375e-06, + "loss": 0.8719, + "step": 12187 + }, + { + "epoch": 0.36, + "learning_rate": 7.433511367896729e-06, + "loss": 0.9181, + "step": 12188 + }, + { + "epoch": 0.36, + "learning_rate": 7.433095741037544e-06, + "loss": 0.5235, + "step": 12189 + }, + { + "epoch": 0.36, + "learning_rate": 7.432680092148585e-06, + "loss": 0.6026, + "step": 12190 + }, + { + "epoch": 0.36, + "learning_rate": 7.432264421233618e-06, + "loss": 0.8423, + "step": 12191 + }, + { + "epoch": 0.36, + "learning_rate": 7.431848728296403e-06, + "loss": 0.6825, + "step": 12192 + }, + { + "epoch": 0.36, + "learning_rate": 7.431433013340708e-06, + "loss": 0.7075, + "step": 12193 + }, + { + "epoch": 0.36, + "learning_rate": 7.4310172763702915e-06, + "loss": 0.7886, + "step": 12194 + }, + { + "epoch": 0.36, + "learning_rate": 7.430601517388921e-06, + "loss": 0.7022, + "step": 12195 + }, + { + "epoch": 0.36, + "learning_rate": 7.430185736400361e-06, + "loss": 0.93, + "step": 12196 + }, + { + "epoch": 0.36, + "learning_rate": 7.4297699334083754e-06, + "loss": 0.8952, + "step": 12197 + }, + { + "epoch": 0.36, + "learning_rate": 7.429354108416728e-06, + "loss": 0.8016, + "step": 12198 + }, + { + "epoch": 0.36, + "learning_rate": 7.428938261429184e-06, + "loss": 1.0001, + "step": 12199 + }, + { + "epoch": 0.36, + "learning_rate": 7.428522392449509e-06, + "loss": 0.81, + "step": 12200 + }, + { + "epoch": 0.36, + "learning_rate": 7.42810650148147e-06, + "loss": 0.8181, + "step": 12201 + }, + { + "epoch": 0.36, + "learning_rate": 7.427690588528831e-06, + "loss": 0.7547, + "step": 12202 + }, + { + "epoch": 0.36, + "learning_rate": 7.427274653595358e-06, + "loss": 0.8152, + "step": 12203 + }, + { + "epoch": 0.36, + "learning_rate": 7.426858696684815e-06, + "loss": 0.6861, + "step": 12204 + }, + { + "epoch": 0.36, + "learning_rate": 7.4264427178009726e-06, + "loss": 0.842, + "step": 12205 + }, + { + "epoch": 0.36, + "learning_rate": 7.426026716947594e-06, + "loss": 0.4739, + "step": 12206 + }, + { + "epoch": 0.36, + "learning_rate": 7.4256106941284455e-06, + "loss": 0.6748, + "step": 12207 + }, + { + "epoch": 0.36, + "learning_rate": 7.425194649347296e-06, + "loss": 1.0085, + "step": 12208 + }, + { + "epoch": 0.36, + "learning_rate": 7.424778582607909e-06, + "loss": 0.8707, + "step": 12209 + }, + { + "epoch": 0.36, + "learning_rate": 7.424362493914056e-06, + "loss": 0.8105, + "step": 12210 + }, + { + "epoch": 0.36, + "learning_rate": 7.423946383269502e-06, + "loss": 0.6323, + "step": 12211 + }, + { + "epoch": 0.36, + "learning_rate": 7.423530250678014e-06, + "loss": 0.7259, + "step": 12212 + }, + { + "epoch": 0.36, + "learning_rate": 7.42311409614336e-06, + "loss": 0.7348, + "step": 12213 + }, + { + "epoch": 0.36, + "learning_rate": 7.422697919669311e-06, + "loss": 0.7104, + "step": 12214 + }, + { + "epoch": 0.36, + "learning_rate": 7.42228172125963e-06, + "loss": 0.6965, + "step": 12215 + }, + { + "epoch": 0.36, + "learning_rate": 7.421865500918089e-06, + "loss": 0.8343, + "step": 12216 + }, + { + "epoch": 0.36, + "learning_rate": 7.421449258648456e-06, + "loss": 0.6566, + "step": 12217 + }, + { + "epoch": 0.36, + "learning_rate": 7.421032994454498e-06, + "loss": 0.9292, + "step": 12218 + }, + { + "epoch": 0.36, + "learning_rate": 7.420616708339985e-06, + "loss": 0.8054, + "step": 12219 + }, + { + "epoch": 0.36, + "learning_rate": 7.420200400308688e-06, + "loss": 0.9233, + "step": 12220 + }, + { + "epoch": 0.36, + "learning_rate": 7.419784070364373e-06, + "loss": 0.732, + "step": 12221 + }, + { + "epoch": 0.36, + "learning_rate": 7.419367718510813e-06, + "loss": 0.9409, + "step": 12222 + }, + { + "epoch": 0.36, + "learning_rate": 7.418951344751775e-06, + "loss": 0.9289, + "step": 12223 + }, + { + "epoch": 0.36, + "learning_rate": 7.41853494909103e-06, + "loss": 0.598, + "step": 12224 + }, + { + "epoch": 0.36, + "learning_rate": 7.418118531532348e-06, + "loss": 0.7232, + "step": 12225 + }, + { + "epoch": 0.36, + "learning_rate": 7.4177020920795e-06, + "loss": 0.7163, + "step": 12226 + }, + { + "epoch": 0.36, + "learning_rate": 7.417285630736255e-06, + "loss": 0.9263, + "step": 12227 + }, + { + "epoch": 0.36, + "learning_rate": 7.416869147506385e-06, + "loss": 0.7388, + "step": 12228 + }, + { + "epoch": 0.36, + "learning_rate": 7.41645264239366e-06, + "loss": 0.7346, + "step": 12229 + }, + { + "epoch": 0.36, + "learning_rate": 7.416036115401852e-06, + "loss": 0.7327, + "step": 12230 + }, + { + "epoch": 0.36, + "learning_rate": 7.415619566534733e-06, + "loss": 0.6797, + "step": 12231 + }, + { + "epoch": 0.36, + "learning_rate": 7.415202995796073e-06, + "loss": 0.8501, + "step": 12232 + }, + { + "epoch": 0.36, + "learning_rate": 7.414786403189644e-06, + "loss": 0.7099, + "step": 12233 + }, + { + "epoch": 0.36, + "learning_rate": 7.414369788719219e-06, + "loss": 0.9948, + "step": 12234 + }, + { + "epoch": 0.36, + "learning_rate": 7.413953152388569e-06, + "loss": 0.7107, + "step": 12235 + }, + { + "epoch": 0.36, + "learning_rate": 7.413536494201467e-06, + "loss": 0.7929, + "step": 12236 + }, + { + "epoch": 0.36, + "learning_rate": 7.4131198141616845e-06, + "loss": 0.7394, + "step": 12237 + }, + { + "epoch": 0.36, + "learning_rate": 7.412703112272994e-06, + "loss": 0.8115, + "step": 12238 + }, + { + "epoch": 0.36, + "learning_rate": 7.412286388539169e-06, + "loss": 0.8548, + "step": 12239 + }, + { + "epoch": 0.36, + "learning_rate": 7.411869642963984e-06, + "loss": 0.8291, + "step": 12240 + }, + { + "epoch": 0.36, + "learning_rate": 7.411452875551213e-06, + "loss": 0.7709, + "step": 12241 + }, + { + "epoch": 0.36, + "learning_rate": 7.411036086304625e-06, + "loss": 1.1745, + "step": 12242 + }, + { + "epoch": 0.36, + "learning_rate": 7.410619275227997e-06, + "loss": 0.7236, + "step": 12243 + }, + { + "epoch": 0.36, + "learning_rate": 7.410202442325101e-06, + "loss": 0.5279, + "step": 12244 + }, + { + "epoch": 0.36, + "learning_rate": 7.409785587599715e-06, + "loss": 0.6961, + "step": 12245 + }, + { + "epoch": 0.36, + "learning_rate": 7.40936871105561e-06, + "loss": 0.485, + "step": 12246 + }, + { + "epoch": 0.36, + "learning_rate": 7.408951812696561e-06, + "loss": 0.6805, + "step": 12247 + }, + { + "epoch": 0.36, + "learning_rate": 7.408534892526342e-06, + "loss": 0.8173, + "step": 12248 + }, + { + "epoch": 0.36, + "learning_rate": 7.408117950548729e-06, + "loss": 0.8097, + "step": 12249 + }, + { + "epoch": 0.36, + "learning_rate": 7.407700986767497e-06, + "loss": 0.9604, + "step": 12250 + }, + { + "epoch": 0.36, + "learning_rate": 7.407284001186421e-06, + "loss": 0.6695, + "step": 12251 + }, + { + "epoch": 0.36, + "learning_rate": 7.4068669938092775e-06, + "loss": 0.9253, + "step": 12252 + }, + { + "epoch": 0.36, + "learning_rate": 7.4064499646398406e-06, + "loss": 0.6667, + "step": 12253 + }, + { + "epoch": 0.36, + "learning_rate": 7.406032913681886e-06, + "loss": 0.6702, + "step": 12254 + }, + { + "epoch": 0.36, + "learning_rate": 7.405615840939192e-06, + "loss": 0.6324, + "step": 12255 + }, + { + "epoch": 0.36, + "learning_rate": 7.4051987464155325e-06, + "loss": 0.7805, + "step": 12256 + }, + { + "epoch": 0.36, + "learning_rate": 7.404781630114686e-06, + "loss": 0.6841, + "step": 12257 + }, + { + "epoch": 0.36, + "learning_rate": 7.404364492040426e-06, + "loss": 0.5846, + "step": 12258 + }, + { + "epoch": 0.36, + "learning_rate": 7.4039473321965325e-06, + "loss": 0.6741, + "step": 12259 + }, + { + "epoch": 0.36, + "learning_rate": 7.403530150586782e-06, + "loss": 0.9182, + "step": 12260 + }, + { + "epoch": 0.36, + "learning_rate": 7.40311294721495e-06, + "loss": 0.5456, + "step": 12261 + }, + { + "epoch": 0.36, + "learning_rate": 7.402695722084816e-06, + "loss": 0.8709, + "step": 12262 + }, + { + "epoch": 0.36, + "learning_rate": 7.402278475200157e-06, + "loss": 0.8561, + "step": 12263 + }, + { + "epoch": 0.36, + "learning_rate": 7.40186120656475e-06, + "loss": 0.6368, + "step": 12264 + }, + { + "epoch": 0.36, + "learning_rate": 7.401443916182375e-06, + "loss": 0.7824, + "step": 12265 + }, + { + "epoch": 0.36, + "learning_rate": 7.401026604056808e-06, + "loss": 0.7625, + "step": 12266 + }, + { + "epoch": 0.36, + "learning_rate": 7.400609270191828e-06, + "loss": 0.6287, + "step": 12267 + }, + { + "epoch": 0.36, + "learning_rate": 7.400191914591215e-06, + "loss": 0.9384, + "step": 12268 + }, + { + "epoch": 0.36, + "learning_rate": 7.399774537258746e-06, + "loss": 0.7625, + "step": 12269 + }, + { + "epoch": 0.36, + "learning_rate": 7.399357138198201e-06, + "loss": 0.9148, + "step": 12270 + }, + { + "epoch": 0.36, + "learning_rate": 7.39893971741336e-06, + "loss": 0.447, + "step": 12271 + }, + { + "epoch": 0.36, + "learning_rate": 7.398522274908001e-06, + "loss": 0.6467, + "step": 12272 + }, + { + "epoch": 0.36, + "learning_rate": 7.398104810685904e-06, + "loss": 0.4952, + "step": 12273 + }, + { + "epoch": 0.36, + "learning_rate": 7.3976873247508495e-06, + "loss": 0.7895, + "step": 12274 + }, + { + "epoch": 0.36, + "learning_rate": 7.397269817106616e-06, + "loss": 0.7779, + "step": 12275 + }, + { + "epoch": 0.36, + "learning_rate": 7.396852287756986e-06, + "loss": 0.9985, + "step": 12276 + }, + { + "epoch": 0.36, + "learning_rate": 7.3964347367057375e-06, + "loss": 0.7754, + "step": 12277 + }, + { + "epoch": 0.36, + "learning_rate": 7.396017163956651e-06, + "loss": 0.8081, + "step": 12278 + }, + { + "epoch": 0.36, + "learning_rate": 7.39559956951351e-06, + "loss": 0.8287, + "step": 12279 + }, + { + "epoch": 0.36, + "learning_rate": 7.395181953380094e-06, + "loss": 0.8515, + "step": 12280 + }, + { + "epoch": 0.36, + "learning_rate": 7.394764315560184e-06, + "loss": 0.8403, + "step": 12281 + }, + { + "epoch": 0.36, + "learning_rate": 7.3943466560575605e-06, + "loss": 0.7205, + "step": 12282 + }, + { + "epoch": 0.36, + "learning_rate": 7.393928974876006e-06, + "loss": 0.8037, + "step": 12283 + }, + { + "epoch": 0.36, + "learning_rate": 7.393511272019304e-06, + "loss": 0.5765, + "step": 12284 + }, + { + "epoch": 0.36, + "learning_rate": 7.393093547491233e-06, + "loss": 0.5389, + "step": 12285 + }, + { + "epoch": 0.36, + "learning_rate": 7.392675801295579e-06, + "loss": 0.5591, + "step": 12286 + }, + { + "epoch": 0.36, + "learning_rate": 7.392258033436121e-06, + "loss": 0.7294, + "step": 12287 + }, + { + "epoch": 0.36, + "learning_rate": 7.391840243916643e-06, + "loss": 0.7219, + "step": 12288 + }, + { + "epoch": 0.36, + "learning_rate": 7.391422432740928e-06, + "loss": 0.8142, + "step": 12289 + }, + { + "epoch": 0.36, + "learning_rate": 7.391004599912759e-06, + "loss": 0.7685, + "step": 12290 + }, + { + "epoch": 0.36, + "learning_rate": 7.390586745435918e-06, + "loss": 0.5492, + "step": 12291 + }, + { + "epoch": 0.36, + "learning_rate": 7.3901688693141895e-06, + "loss": 0.6841, + "step": 12292 + }, + { + "epoch": 0.36, + "learning_rate": 7.389750971551355e-06, + "loss": 0.616, + "step": 12293 + }, + { + "epoch": 0.36, + "learning_rate": 7.389333052151202e-06, + "loss": 0.7386, + "step": 12294 + }, + { + "epoch": 0.36, + "learning_rate": 7.388915111117511e-06, + "loss": 0.6374, + "step": 12295 + }, + { + "epoch": 0.36, + "learning_rate": 7.3884971484540705e-06, + "loss": 0.7903, + "step": 12296 + }, + { + "epoch": 0.36, + "learning_rate": 7.38807916416466e-06, + "loss": 0.9779, + "step": 12297 + }, + { + "epoch": 0.36, + "learning_rate": 7.387661158253064e-06, + "loss": 0.493, + "step": 12298 + }, + { + "epoch": 0.36, + "learning_rate": 7.387243130723071e-06, + "loss": 0.6277, + "step": 12299 + }, + { + "epoch": 0.36, + "learning_rate": 7.386825081578463e-06, + "loss": 0.8567, + "step": 12300 + }, + { + "epoch": 0.36, + "learning_rate": 7.386407010823027e-06, + "loss": 0.5728, + "step": 12301 + }, + { + "epoch": 0.36, + "learning_rate": 7.385988918460546e-06, + "loss": 0.6566, + "step": 12302 + }, + { + "epoch": 0.36, + "learning_rate": 7.3855708044948075e-06, + "loss": 0.6217, + "step": 12303 + }, + { + "epoch": 0.36, + "learning_rate": 7.385152668929596e-06, + "loss": 0.663, + "step": 12304 + }, + { + "epoch": 0.36, + "learning_rate": 7.384734511768699e-06, + "loss": 0.7514, + "step": 12305 + }, + { + "epoch": 0.36, + "learning_rate": 7.384316333015901e-06, + "loss": 0.6582, + "step": 12306 + }, + { + "epoch": 0.36, + "learning_rate": 7.383898132674989e-06, + "loss": 0.811, + "step": 12307 + }, + { + "epoch": 0.36, + "learning_rate": 7.383479910749748e-06, + "loss": 0.6875, + "step": 12308 + }, + { + "epoch": 0.36, + "learning_rate": 7.383061667243967e-06, + "loss": 0.7742, + "step": 12309 + }, + { + "epoch": 0.36, + "learning_rate": 7.382643402161431e-06, + "loss": 0.7611, + "step": 12310 + }, + { + "epoch": 0.36, + "learning_rate": 7.38222511550593e-06, + "loss": 0.6973, + "step": 12311 + }, + { + "epoch": 0.36, + "learning_rate": 7.381806807281246e-06, + "loss": 0.5201, + "step": 12312 + }, + { + "epoch": 0.36, + "learning_rate": 7.381388477491171e-06, + "loss": 0.5963, + "step": 12313 + }, + { + "epoch": 0.36, + "learning_rate": 7.380970126139493e-06, + "loss": 0.4183, + "step": 12314 + }, + { + "epoch": 0.36, + "learning_rate": 7.3805517532299965e-06, + "loss": 0.98, + "step": 12315 + }, + { + "epoch": 0.36, + "learning_rate": 7.38013335876647e-06, + "loss": 0.6238, + "step": 12316 + }, + { + "epoch": 0.36, + "learning_rate": 7.379714942752705e-06, + "loss": 0.6626, + "step": 12317 + }, + { + "epoch": 0.36, + "learning_rate": 7.379296505192487e-06, + "loss": 0.9585, + "step": 12318 + }, + { + "epoch": 0.36, + "learning_rate": 7.378878046089605e-06, + "loss": 0.4919, + "step": 12319 + }, + { + "epoch": 0.36, + "learning_rate": 7.378459565447849e-06, + "loss": 1.152, + "step": 12320 + }, + { + "epoch": 0.36, + "learning_rate": 7.378041063271006e-06, + "loss": 0.7276, + "step": 12321 + }, + { + "epoch": 0.36, + "learning_rate": 7.377622539562868e-06, + "loss": 0.756, + "step": 12322 + }, + { + "epoch": 0.36, + "learning_rate": 7.37720399432722e-06, + "loss": 0.685, + "step": 12323 + }, + { + "epoch": 0.36, + "learning_rate": 7.376785427567856e-06, + "loss": 0.6447, + "step": 12324 + }, + { + "epoch": 0.36, + "learning_rate": 7.3763668392885645e-06, + "loss": 0.7928, + "step": 12325 + }, + { + "epoch": 0.36, + "learning_rate": 7.375948229493136e-06, + "loss": 0.8587, + "step": 12326 + }, + { + "epoch": 0.36, + "learning_rate": 7.375529598185358e-06, + "loss": 0.6012, + "step": 12327 + }, + { + "epoch": 0.36, + "learning_rate": 7.375110945369024e-06, + "loss": 0.8561, + "step": 12328 + }, + { + "epoch": 0.36, + "learning_rate": 7.374692271047923e-06, + "loss": 0.5657, + "step": 12329 + }, + { + "epoch": 0.36, + "learning_rate": 7.374273575225848e-06, + "loss": 0.7613, + "step": 12330 + }, + { + "epoch": 0.36, + "learning_rate": 7.373854857906586e-06, + "loss": 0.817, + "step": 12331 + }, + { + "epoch": 0.36, + "learning_rate": 7.37343611909393e-06, + "loss": 0.959, + "step": 12332 + }, + { + "epoch": 0.36, + "learning_rate": 7.373017358791672e-06, + "loss": 0.6099, + "step": 12333 + }, + { + "epoch": 0.36, + "learning_rate": 7.372598577003604e-06, + "loss": 0.8109, + "step": 12334 + }, + { + "epoch": 0.36, + "learning_rate": 7.372179773733516e-06, + "loss": 0.5919, + "step": 12335 + }, + { + "epoch": 0.36, + "learning_rate": 7.371760948985201e-06, + "loss": 0.5929, + "step": 12336 + }, + { + "epoch": 0.36, + "learning_rate": 7.371342102762451e-06, + "loss": 0.5694, + "step": 12337 + }, + { + "epoch": 0.36, + "learning_rate": 7.370923235069058e-06, + "loss": 0.9245, + "step": 12338 + }, + { + "epoch": 0.36, + "learning_rate": 7.3705043459088155e-06, + "loss": 0.8487, + "step": 12339 + }, + { + "epoch": 0.36, + "learning_rate": 7.370085435285516e-06, + "loss": 0.6923, + "step": 12340 + }, + { + "epoch": 0.36, + "learning_rate": 7.36966650320295e-06, + "loss": 0.7441, + "step": 12341 + }, + { + "epoch": 0.36, + "learning_rate": 7.369247549664913e-06, + "loss": 0.8354, + "step": 12342 + }, + { + "epoch": 0.36, + "learning_rate": 7.368828574675199e-06, + "loss": 0.5552, + "step": 12343 + }, + { + "epoch": 0.36, + "learning_rate": 7.368409578237599e-06, + "loss": 0.7529, + "step": 12344 + }, + { + "epoch": 0.36, + "learning_rate": 7.367990560355909e-06, + "loss": 0.7862, + "step": 12345 + }, + { + "epoch": 0.36, + "learning_rate": 7.36757152103392e-06, + "loss": 0.8007, + "step": 12346 + }, + { + "epoch": 0.36, + "learning_rate": 7.36715246027543e-06, + "loss": 0.887, + "step": 12347 + }, + { + "epoch": 0.36, + "learning_rate": 7.36673337808423e-06, + "loss": 0.5889, + "step": 12348 + }, + { + "epoch": 0.36, + "learning_rate": 7.366314274464116e-06, + "loss": 0.8845, + "step": 12349 + }, + { + "epoch": 0.36, + "learning_rate": 7.3658951494188825e-06, + "loss": 0.7158, + "step": 12350 + }, + { + "epoch": 0.36, + "learning_rate": 7.365476002952324e-06, + "loss": 0.5714, + "step": 12351 + }, + { + "epoch": 0.36, + "learning_rate": 7.365056835068235e-06, + "loss": 0.5775, + "step": 12352 + }, + { + "epoch": 0.36, + "learning_rate": 7.364637645770413e-06, + "loss": 0.9184, + "step": 12353 + }, + { + "epoch": 0.36, + "learning_rate": 7.3642184350626514e-06, + "loss": 0.5521, + "step": 12354 + }, + { + "epoch": 0.36, + "learning_rate": 7.363799202948746e-06, + "loss": 0.6052, + "step": 12355 + }, + { + "epoch": 0.36, + "learning_rate": 7.363379949432492e-06, + "loss": 1.033, + "step": 12356 + }, + { + "epoch": 0.36, + "learning_rate": 7.362960674517687e-06, + "loss": 0.5886, + "step": 12357 + }, + { + "epoch": 0.36, + "learning_rate": 7.362541378208128e-06, + "loss": 0.7985, + "step": 12358 + }, + { + "epoch": 0.36, + "learning_rate": 7.362122060507608e-06, + "loss": 0.6107, + "step": 12359 + }, + { + "epoch": 0.36, + "learning_rate": 7.361702721419927e-06, + "loss": 0.7148, + "step": 12360 + }, + { + "epoch": 0.36, + "learning_rate": 7.361283360948878e-06, + "loss": 0.5872, + "step": 12361 + }, + { + "epoch": 0.36, + "learning_rate": 7.360863979098262e-06, + "loss": 0.724, + "step": 12362 + }, + { + "epoch": 0.36, + "learning_rate": 7.360444575871874e-06, + "loss": 0.8431, + "step": 12363 + }, + { + "epoch": 0.36, + "learning_rate": 7.360025151273512e-06, + "loss": 0.7721, + "step": 12364 + }, + { + "epoch": 0.36, + "learning_rate": 7.359605705306974e-06, + "loss": 0.6413, + "step": 12365 + }, + { + "epoch": 0.36, + "learning_rate": 7.359186237976057e-06, + "loss": 0.8953, + "step": 12366 + }, + { + "epoch": 0.36, + "learning_rate": 7.3587667492845575e-06, + "loss": 0.909, + "step": 12367 + }, + { + "epoch": 0.36, + "learning_rate": 7.358347239236277e-06, + "loss": 0.8403, + "step": 12368 + }, + { + "epoch": 0.36, + "learning_rate": 7.357927707835011e-06, + "loss": 0.9005, + "step": 12369 + }, + { + "epoch": 0.36, + "learning_rate": 7.35750815508456e-06, + "loss": 0.8008, + "step": 12370 + }, + { + "epoch": 0.36, + "learning_rate": 7.35708858098872e-06, + "loss": 0.7314, + "step": 12371 + }, + { + "epoch": 0.36, + "learning_rate": 7.356668985551293e-06, + "loss": 1.0993, + "step": 12372 + }, + { + "epoch": 0.36, + "learning_rate": 7.3562493687760765e-06, + "loss": 0.7698, + "step": 12373 + }, + { + "epoch": 0.36, + "learning_rate": 7.35582973066687e-06, + "loss": 0.6807, + "step": 12374 + }, + { + "epoch": 0.36, + "learning_rate": 7.355410071227475e-06, + "loss": 0.586, + "step": 12375 + }, + { + "epoch": 0.36, + "learning_rate": 7.354990390461687e-06, + "loss": 0.7694, + "step": 12376 + }, + { + "epoch": 0.36, + "learning_rate": 7.354570688373309e-06, + "loss": 0.7445, + "step": 12377 + }, + { + "epoch": 0.36, + "learning_rate": 7.354150964966141e-06, + "loss": 0.9374, + "step": 12378 + }, + { + "epoch": 0.36, + "learning_rate": 7.3537312202439825e-06, + "loss": 0.6326, + "step": 12379 + }, + { + "epoch": 0.36, + "learning_rate": 7.353311454210633e-06, + "loss": 0.6746, + "step": 12380 + }, + { + "epoch": 0.36, + "learning_rate": 7.352891666869895e-06, + "loss": 0.8737, + "step": 12381 + }, + { + "epoch": 0.36, + "learning_rate": 7.352471858225567e-06, + "loss": 0.7347, + "step": 12382 + }, + { + "epoch": 0.36, + "learning_rate": 7.3520520282814525e-06, + "loss": 0.8683, + "step": 12383 + }, + { + "epoch": 0.36, + "learning_rate": 7.3516321770413515e-06, + "loss": 0.6812, + "step": 12384 + }, + { + "epoch": 0.36, + "learning_rate": 7.351212304509066e-06, + "loss": 0.9473, + "step": 12385 + }, + { + "epoch": 0.36, + "learning_rate": 7.3507924106883974e-06, + "loss": 0.7135, + "step": 12386 + }, + { + "epoch": 0.36, + "learning_rate": 7.3503724955831464e-06, + "loss": 0.7039, + "step": 12387 + }, + { + "epoch": 0.36, + "learning_rate": 7.349952559197118e-06, + "loss": 0.809, + "step": 12388 + }, + { + "epoch": 0.36, + "learning_rate": 7.349532601534111e-06, + "loss": 0.7156, + "step": 12389 + }, + { + "epoch": 0.36, + "learning_rate": 7.349112622597929e-06, + "loss": 0.7508, + "step": 12390 + }, + { + "epoch": 0.36, + "learning_rate": 7.348692622392375e-06, + "loss": 0.7528, + "step": 12391 + }, + { + "epoch": 0.36, + "learning_rate": 7.348272600921251e-06, + "loss": 0.5896, + "step": 12392 + }, + { + "epoch": 0.36, + "learning_rate": 7.347852558188362e-06, + "loss": 0.4057, + "step": 12393 + }, + { + "epoch": 0.36, + "learning_rate": 7.347432494197508e-06, + "loss": 0.667, + "step": 12394 + }, + { + "epoch": 0.36, + "learning_rate": 7.347012408952496e-06, + "loss": 0.7972, + "step": 12395 + }, + { + "epoch": 0.36, + "learning_rate": 7.346592302457126e-06, + "loss": 0.598, + "step": 12396 + }, + { + "epoch": 0.36, + "learning_rate": 7.346172174715205e-06, + "loss": 0.6694, + "step": 12397 + }, + { + "epoch": 0.36, + "learning_rate": 7.345752025730534e-06, + "loss": 0.7334, + "step": 12398 + }, + { + "epoch": 0.36, + "learning_rate": 7.3453318555069186e-06, + "loss": 0.7926, + "step": 12399 + }, + { + "epoch": 0.36, + "learning_rate": 7.344911664048162e-06, + "loss": 0.791, + "step": 12400 + }, + { + "epoch": 0.36, + "learning_rate": 7.344491451358069e-06, + "loss": 0.7379, + "step": 12401 + }, + { + "epoch": 0.36, + "learning_rate": 7.344071217440447e-06, + "loss": 0.9698, + "step": 12402 + }, + { + "epoch": 0.36, + "learning_rate": 7.343650962299097e-06, + "loss": 0.7309, + "step": 12403 + }, + { + "epoch": 0.36, + "learning_rate": 7.343230685937828e-06, + "loss": 0.7549, + "step": 12404 + }, + { + "epoch": 0.36, + "learning_rate": 7.342810388360441e-06, + "loss": 0.626, + "step": 12405 + }, + { + "epoch": 0.36, + "learning_rate": 7.342390069570743e-06, + "loss": 0.9885, + "step": 12406 + }, + { + "epoch": 0.36, + "learning_rate": 7.3419697295725426e-06, + "loss": 0.5844, + "step": 12407 + }, + { + "epoch": 0.36, + "learning_rate": 7.341549368369641e-06, + "loss": 0.827, + "step": 12408 + }, + { + "epoch": 0.36, + "learning_rate": 7.341128985965848e-06, + "loss": 0.7752, + "step": 12409 + }, + { + "epoch": 0.36, + "learning_rate": 7.340708582364969e-06, + "loss": 0.8902, + "step": 12410 + }, + { + "epoch": 0.36, + "learning_rate": 7.340288157570807e-06, + "loss": 0.6599, + "step": 12411 + }, + { + "epoch": 0.36, + "learning_rate": 7.339867711587173e-06, + "loss": 0.5998, + "step": 12412 + }, + { + "epoch": 0.36, + "learning_rate": 7.339447244417872e-06, + "loss": 0.7501, + "step": 12413 + }, + { + "epoch": 0.36, + "learning_rate": 7.339026756066712e-06, + "loss": 0.8446, + "step": 12414 + }, + { + "epoch": 0.36, + "learning_rate": 7.338606246537499e-06, + "loss": 0.6298, + "step": 12415 + }, + { + "epoch": 0.36, + "learning_rate": 7.338185715834041e-06, + "loss": 0.937, + "step": 12416 + }, + { + "epoch": 0.36, + "learning_rate": 7.337765163960144e-06, + "loss": 0.4933, + "step": 12417 + }, + { + "epoch": 0.36, + "learning_rate": 7.33734459091962e-06, + "loss": 0.9267, + "step": 12418 + }, + { + "epoch": 0.36, + "learning_rate": 7.336923996716271e-06, + "loss": 0.6374, + "step": 12419 + }, + { + "epoch": 0.36, + "learning_rate": 7.33650338135391e-06, + "loss": 0.8386, + "step": 12420 + }, + { + "epoch": 0.36, + "learning_rate": 7.336082744836342e-06, + "loss": 0.9544, + "step": 12421 + }, + { + "epoch": 0.36, + "learning_rate": 7.335662087167378e-06, + "loss": 0.9647, + "step": 12422 + }, + { + "epoch": 0.36, + "learning_rate": 7.335241408350826e-06, + "loss": 0.8982, + "step": 12423 + }, + { + "epoch": 0.37, + "learning_rate": 7.334820708390495e-06, + "loss": 0.4612, + "step": 12424 + }, + { + "epoch": 0.37, + "learning_rate": 7.334399987290193e-06, + "loss": 0.484, + "step": 12425 + }, + { + "epoch": 0.37, + "learning_rate": 7.333979245053729e-06, + "loss": 0.8712, + "step": 12426 + }, + { + "epoch": 0.37, + "learning_rate": 7.333558481684916e-06, + "loss": 0.6093, + "step": 12427 + }, + { + "epoch": 0.37, + "learning_rate": 7.33313769718756e-06, + "loss": 0.8251, + "step": 12428 + }, + { + "epoch": 0.37, + "learning_rate": 7.332716891565472e-06, + "loss": 0.7929, + "step": 12429 + }, + { + "epoch": 0.37, + "learning_rate": 7.332296064822464e-06, + "loss": 0.7015, + "step": 12430 + }, + { + "epoch": 0.37, + "learning_rate": 7.331875216962343e-06, + "loss": 0.7945, + "step": 12431 + }, + { + "epoch": 0.37, + "learning_rate": 7.331454347988921e-06, + "loss": 0.5445, + "step": 12432 + }, + { + "epoch": 0.37, + "learning_rate": 7.33103345790601e-06, + "loss": 0.5563, + "step": 12433 + }, + { + "epoch": 0.37, + "learning_rate": 7.3306125467174176e-06, + "loss": 0.791, + "step": 12434 + }, + { + "epoch": 0.37, + "learning_rate": 7.330191614426958e-06, + "loss": 0.8005, + "step": 12435 + }, + { + "epoch": 0.37, + "learning_rate": 7.32977066103844e-06, + "loss": 0.8118, + "step": 12436 + }, + { + "epoch": 0.37, + "learning_rate": 7.329349686555677e-06, + "loss": 0.7353, + "step": 12437 + }, + { + "epoch": 0.37, + "learning_rate": 7.328928690982479e-06, + "loss": 0.9207, + "step": 12438 + }, + { + "epoch": 0.37, + "learning_rate": 7.328507674322659e-06, + "loss": 0.7787, + "step": 12439 + }, + { + "epoch": 0.37, + "learning_rate": 7.328086636580027e-06, + "loss": 0.4227, + "step": 12440 + }, + { + "epoch": 0.37, + "learning_rate": 7.327665577758398e-06, + "loss": 0.572, + "step": 12441 + }, + { + "epoch": 0.37, + "learning_rate": 7.327244497861583e-06, + "loss": 0.7876, + "step": 12442 + }, + { + "epoch": 0.37, + "learning_rate": 7.326823396893393e-06, + "loss": 0.8774, + "step": 12443 + }, + { + "epoch": 0.37, + "learning_rate": 7.326402274857645e-06, + "loss": 0.7281, + "step": 12444 + }, + { + "epoch": 0.37, + "learning_rate": 7.325981131758146e-06, + "loss": 0.8375, + "step": 12445 + }, + { + "epoch": 0.37, + "learning_rate": 7.325559967598713e-06, + "loss": 0.8093, + "step": 12446 + }, + { + "epoch": 0.37, + "learning_rate": 7.32513878238316e-06, + "loss": 0.7214, + "step": 12447 + }, + { + "epoch": 0.37, + "learning_rate": 7.324717576115299e-06, + "loss": 0.7637, + "step": 12448 + }, + { + "epoch": 0.37, + "learning_rate": 7.324296348798943e-06, + "loss": 0.8013, + "step": 12449 + }, + { + "epoch": 0.37, + "learning_rate": 7.323875100437907e-06, + "loss": 0.829, + "step": 12450 + }, + { + "epoch": 0.37, + "learning_rate": 7.323453831036003e-06, + "loss": 0.7334, + "step": 12451 + }, + { + "epoch": 0.37, + "learning_rate": 7.323032540597049e-06, + "loss": 0.8544, + "step": 12452 + }, + { + "epoch": 0.37, + "learning_rate": 7.322611229124858e-06, + "loss": 0.7288, + "step": 12453 + }, + { + "epoch": 0.37, + "learning_rate": 7.3221898966232415e-06, + "loss": 0.859, + "step": 12454 + }, + { + "epoch": 0.37, + "learning_rate": 7.321768543096019e-06, + "loss": 0.8545, + "step": 12455 + }, + { + "epoch": 0.37, + "learning_rate": 7.3213471685470025e-06, + "loss": 0.5877, + "step": 12456 + }, + { + "epoch": 0.37, + "learning_rate": 7.320925772980009e-06, + "loss": 0.7624, + "step": 12457 + }, + { + "epoch": 0.37, + "learning_rate": 7.320504356398853e-06, + "loss": 0.7409, + "step": 12458 + }, + { + "epoch": 0.37, + "learning_rate": 7.32008291880735e-06, + "loss": 0.8915, + "step": 12459 + }, + { + "epoch": 0.37, + "learning_rate": 7.319661460209316e-06, + "loss": 0.8448, + "step": 12460 + }, + { + "epoch": 0.37, + "learning_rate": 7.319239980608567e-06, + "loss": 0.5133, + "step": 12461 + }, + { + "epoch": 0.37, + "learning_rate": 7.318818480008919e-06, + "loss": 0.7215, + "step": 12462 + }, + { + "epoch": 0.37, + "learning_rate": 7.318396958414189e-06, + "loss": 0.8683, + "step": 12463 + }, + { + "epoch": 0.37, + "learning_rate": 7.317975415828193e-06, + "loss": 0.8479, + "step": 12464 + }, + { + "epoch": 0.37, + "learning_rate": 7.317553852254746e-06, + "loss": 0.8351, + "step": 12465 + }, + { + "epoch": 0.37, + "learning_rate": 7.317132267697667e-06, + "loss": 0.9584, + "step": 12466 + }, + { + "epoch": 0.37, + "learning_rate": 7.316710662160775e-06, + "loss": 0.8117, + "step": 12467 + }, + { + "epoch": 0.37, + "learning_rate": 7.3162890356478835e-06, + "loss": 0.7645, + "step": 12468 + }, + { + "epoch": 0.37, + "learning_rate": 7.315867388162812e-06, + "loss": 0.5299, + "step": 12469 + }, + { + "epoch": 0.37, + "learning_rate": 7.315445719709377e-06, + "loss": 0.7488, + "step": 12470 + }, + { + "epoch": 0.37, + "learning_rate": 7.3150240302913975e-06, + "loss": 0.6962, + "step": 12471 + }, + { + "epoch": 0.37, + "learning_rate": 7.314602319912692e-06, + "loss": 0.6736, + "step": 12472 + }, + { + "epoch": 0.37, + "learning_rate": 7.314180588577078e-06, + "loss": 0.6519, + "step": 12473 + }, + { + "epoch": 0.37, + "learning_rate": 7.3137588362883736e-06, + "loss": 0.9174, + "step": 12474 + }, + { + "epoch": 0.37, + "learning_rate": 7.313337063050396e-06, + "loss": 0.3196, + "step": 12475 + }, + { + "epoch": 0.37, + "learning_rate": 7.312915268866969e-06, + "loss": 0.6824, + "step": 12476 + }, + { + "epoch": 0.37, + "learning_rate": 7.3124934537419066e-06, + "loss": 0.7328, + "step": 12477 + }, + { + "epoch": 0.37, + "learning_rate": 7.3120716176790304e-06, + "loss": 0.7328, + "step": 12478 + }, + { + "epoch": 0.37, + "learning_rate": 7.311649760682159e-06, + "loss": 0.868, + "step": 12479 + }, + { + "epoch": 0.37, + "learning_rate": 7.311227882755112e-06, + "loss": 0.8131, + "step": 12480 + }, + { + "epoch": 0.37, + "learning_rate": 7.3108059839017095e-06, + "loss": 0.8441, + "step": 12481 + }, + { + "epoch": 0.37, + "learning_rate": 7.310384064125772e-06, + "loss": 0.8396, + "step": 12482 + }, + { + "epoch": 0.37, + "learning_rate": 7.309962123431118e-06, + "loss": 0.8184, + "step": 12483 + }, + { + "epoch": 0.37, + "learning_rate": 7.309540161821569e-06, + "loss": 0.7196, + "step": 12484 + }, + { + "epoch": 0.37, + "learning_rate": 7.309118179300945e-06, + "loss": 0.7844, + "step": 12485 + }, + { + "epoch": 0.37, + "learning_rate": 7.3086961758730676e-06, + "loss": 0.7967, + "step": 12486 + }, + { + "epoch": 0.37, + "learning_rate": 7.308274151541758e-06, + "loss": 0.722, + "step": 12487 + }, + { + "epoch": 0.37, + "learning_rate": 7.307852106310835e-06, + "loss": 0.3967, + "step": 12488 + }, + { + "epoch": 0.37, + "learning_rate": 7.307430040184122e-06, + "loss": 0.7991, + "step": 12489 + }, + { + "epoch": 0.37, + "learning_rate": 7.30700795316544e-06, + "loss": 0.9068, + "step": 12490 + }, + { + "epoch": 0.37, + "learning_rate": 7.30658584525861e-06, + "loss": 0.7438, + "step": 12491 + }, + { + "epoch": 0.37, + "learning_rate": 7.306163716467456e-06, + "loss": 0.8413, + "step": 12492 + }, + { + "epoch": 0.37, + "learning_rate": 7.305741566795796e-06, + "loss": 0.7662, + "step": 12493 + }, + { + "epoch": 0.37, + "learning_rate": 7.305319396247457e-06, + "loss": 0.7906, + "step": 12494 + }, + { + "epoch": 0.37, + "learning_rate": 7.3048972048262575e-06, + "loss": 0.5575, + "step": 12495 + }, + { + "epoch": 0.37, + "learning_rate": 7.304474992536021e-06, + "loss": 0.7622, + "step": 12496 + }, + { + "epoch": 0.37, + "learning_rate": 7.304052759380573e-06, + "loss": 0.9278, + "step": 12497 + }, + { + "epoch": 0.37, + "learning_rate": 7.3036305053637344e-06, + "loss": 0.8026, + "step": 12498 + }, + { + "epoch": 0.37, + "learning_rate": 7.303208230489328e-06, + "loss": 0.7055, + "step": 12499 + }, + { + "epoch": 0.37, + "learning_rate": 7.3027859347611775e-06, + "loss": 0.7714, + "step": 12500 + }, + { + "epoch": 0.37, + "learning_rate": 7.302363618183106e-06, + "loss": 0.775, + "step": 12501 + }, + { + "epoch": 0.37, + "learning_rate": 7.30194128075894e-06, + "loss": 0.4865, + "step": 12502 + }, + { + "epoch": 0.37, + "learning_rate": 7.301518922492499e-06, + "loss": 0.9442, + "step": 12503 + }, + { + "epoch": 0.37, + "learning_rate": 7.30109654338761e-06, + "loss": 0.5642, + "step": 12504 + }, + { + "epoch": 0.37, + "learning_rate": 7.300674143448096e-06, + "loss": 0.8213, + "step": 12505 + }, + { + "epoch": 0.37, + "learning_rate": 7.3002517226777824e-06, + "loss": 0.6398, + "step": 12506 + }, + { + "epoch": 0.37, + "learning_rate": 7.299829281080495e-06, + "loss": 0.8957, + "step": 12507 + }, + { + "epoch": 0.37, + "learning_rate": 7.299406818660056e-06, + "loss": 0.8507, + "step": 12508 + }, + { + "epoch": 0.37, + "learning_rate": 7.298984335420293e-06, + "loss": 0.7262, + "step": 12509 + }, + { + "epoch": 0.37, + "learning_rate": 7.298561831365029e-06, + "loss": 0.6665, + "step": 12510 + }, + { + "epoch": 0.37, + "learning_rate": 7.298139306498091e-06, + "loss": 0.6859, + "step": 12511 + }, + { + "epoch": 0.37, + "learning_rate": 7.297716760823304e-06, + "loss": 0.7534, + "step": 12512 + }, + { + "epoch": 0.37, + "learning_rate": 7.2972941943444946e-06, + "loss": 0.5857, + "step": 12513 + }, + { + "epoch": 0.37, + "learning_rate": 7.296871607065488e-06, + "loss": 0.5625, + "step": 12514 + }, + { + "epoch": 0.37, + "learning_rate": 7.296448998990109e-06, + "loss": 0.7063, + "step": 12515 + }, + { + "epoch": 0.37, + "learning_rate": 7.296026370122187e-06, + "loss": 0.7337, + "step": 12516 + }, + { + "epoch": 0.37, + "learning_rate": 7.295603720465547e-06, + "loss": 0.5587, + "step": 12517 + }, + { + "epoch": 0.37, + "learning_rate": 7.2951810500240165e-06, + "loss": 0.9022, + "step": 12518 + }, + { + "epoch": 0.37, + "learning_rate": 7.294758358801422e-06, + "loss": 0.7013, + "step": 12519 + }, + { + "epoch": 0.37, + "learning_rate": 7.294335646801589e-06, + "loss": 0.5517, + "step": 12520 + }, + { + "epoch": 0.37, + "learning_rate": 7.293912914028348e-06, + "loss": 0.8488, + "step": 12521 + }, + { + "epoch": 0.37, + "learning_rate": 7.293490160485523e-06, + "loss": 0.5014, + "step": 12522 + }, + { + "epoch": 0.37, + "learning_rate": 7.293067386176947e-06, + "loss": 0.5848, + "step": 12523 + }, + { + "epoch": 0.37, + "learning_rate": 7.292644591106439e-06, + "loss": 0.4591, + "step": 12524 + }, + { + "epoch": 0.37, + "learning_rate": 7.292221775277837e-06, + "loss": 0.6713, + "step": 12525 + }, + { + "epoch": 0.37, + "learning_rate": 7.291798938694963e-06, + "loss": 0.8292, + "step": 12526 + }, + { + "epoch": 0.37, + "learning_rate": 7.291376081361648e-06, + "loss": 0.7568, + "step": 12527 + }, + { + "epoch": 0.37, + "learning_rate": 7.290953203281719e-06, + "loss": 0.6491, + "step": 12528 + }, + { + "epoch": 0.37, + "learning_rate": 7.290530304459005e-06, + "loss": 0.7135, + "step": 12529 + }, + { + "epoch": 0.37, + "learning_rate": 7.290107384897337e-06, + "loss": 0.7067, + "step": 12530 + }, + { + "epoch": 0.37, + "learning_rate": 7.289684444600542e-06, + "loss": 0.9141, + "step": 12531 + }, + { + "epoch": 0.37, + "learning_rate": 7.289261483572452e-06, + "loss": 0.7317, + "step": 12532 + }, + { + "epoch": 0.37, + "learning_rate": 7.288838501816894e-06, + "loss": 0.955, + "step": 12533 + }, + { + "epoch": 0.37, + "learning_rate": 7.288415499337698e-06, + "loss": 0.6884, + "step": 12534 + }, + { + "epoch": 0.37, + "learning_rate": 7.287992476138695e-06, + "loss": 0.8547, + "step": 12535 + }, + { + "epoch": 0.37, + "learning_rate": 7.2875694322237145e-06, + "loss": 0.7253, + "step": 12536 + }, + { + "epoch": 0.37, + "learning_rate": 7.287146367596587e-06, + "loss": 0.624, + "step": 12537 + }, + { + "epoch": 0.37, + "learning_rate": 7.286723282261144e-06, + "loss": 0.8311, + "step": 12538 + }, + { + "epoch": 0.37, + "learning_rate": 7.286300176221215e-06, + "loss": 0.7716, + "step": 12539 + }, + { + "epoch": 0.37, + "learning_rate": 7.285877049480632e-06, + "loss": 0.6638, + "step": 12540 + }, + { + "epoch": 0.37, + "learning_rate": 7.285453902043224e-06, + "loss": 0.6849, + "step": 12541 + }, + { + "epoch": 0.37, + "learning_rate": 7.285030733912824e-06, + "loss": 0.7709, + "step": 12542 + }, + { + "epoch": 0.37, + "learning_rate": 7.284607545093263e-06, + "loss": 0.4613, + "step": 12543 + }, + { + "epoch": 0.37, + "learning_rate": 7.284184335588371e-06, + "loss": 1.0769, + "step": 12544 + }, + { + "epoch": 0.37, + "learning_rate": 7.283761105401984e-06, + "loss": 0.6433, + "step": 12545 + }, + { + "epoch": 0.37, + "learning_rate": 7.283337854537931e-06, + "loss": 0.7958, + "step": 12546 + }, + { + "epoch": 0.37, + "learning_rate": 7.2829145830000434e-06, + "loss": 0.696, + "step": 12547 + }, + { + "epoch": 0.37, + "learning_rate": 7.282491290792156e-06, + "loss": 0.7591, + "step": 12548 + }, + { + "epoch": 0.37, + "learning_rate": 7.282067977918099e-06, + "loss": 0.7373, + "step": 12549 + }, + { + "epoch": 0.37, + "learning_rate": 7.281644644381708e-06, + "loss": 0.6182, + "step": 12550 + }, + { + "epoch": 0.37, + "learning_rate": 7.281221290186814e-06, + "loss": 0.5984, + "step": 12551 + }, + { + "epoch": 0.37, + "learning_rate": 7.2807979153372495e-06, + "loss": 0.6852, + "step": 12552 + }, + { + "epoch": 0.37, + "learning_rate": 7.28037451983685e-06, + "loss": 0.8231, + "step": 12553 + }, + { + "epoch": 0.37, + "learning_rate": 7.2799511036894475e-06, + "loss": 0.7422, + "step": 12554 + }, + { + "epoch": 0.37, + "learning_rate": 7.279527666898875e-06, + "loss": 0.7236, + "step": 12555 + }, + { + "epoch": 0.37, + "learning_rate": 7.27910420946897e-06, + "loss": 0.6555, + "step": 12556 + }, + { + "epoch": 0.37, + "learning_rate": 7.278680731403562e-06, + "loss": 0.7882, + "step": 12557 + }, + { + "epoch": 0.37, + "learning_rate": 7.278257232706489e-06, + "loss": 0.6035, + "step": 12558 + }, + { + "epoch": 0.37, + "learning_rate": 7.277833713381584e-06, + "loss": 0.6007, + "step": 12559 + }, + { + "epoch": 0.37, + "learning_rate": 7.27741017343268e-06, + "loss": 0.8587, + "step": 12560 + }, + { + "epoch": 0.37, + "learning_rate": 7.276986612863612e-06, + "loss": 0.8443, + "step": 12561 + }, + { + "epoch": 0.37, + "learning_rate": 7.276563031678219e-06, + "loss": 1.0123, + "step": 12562 + }, + { + "epoch": 0.37, + "learning_rate": 7.276139429880331e-06, + "loss": 0.8218, + "step": 12563 + }, + { + "epoch": 0.37, + "learning_rate": 7.275715807473787e-06, + "loss": 0.7816, + "step": 12564 + }, + { + "epoch": 0.37, + "learning_rate": 7.275292164462419e-06, + "loss": 0.7934, + "step": 12565 + }, + { + "epoch": 0.37, + "learning_rate": 7.274868500850069e-06, + "loss": 0.9238, + "step": 12566 + }, + { + "epoch": 0.37, + "learning_rate": 7.274444816640567e-06, + "loss": 1.0824, + "step": 12567 + }, + { + "epoch": 0.37, + "learning_rate": 7.274021111837751e-06, + "loss": 0.9498, + "step": 12568 + }, + { + "epoch": 0.37, + "learning_rate": 7.273597386445458e-06, + "loss": 0.8328, + "step": 12569 + }, + { + "epoch": 0.37, + "learning_rate": 7.273173640467523e-06, + "loss": 0.7998, + "step": 12570 + }, + { + "epoch": 0.37, + "learning_rate": 7.272749873907785e-06, + "loss": 0.6991, + "step": 12571 + }, + { + "epoch": 0.37, + "learning_rate": 7.27232608677008e-06, + "loss": 0.6263, + "step": 12572 + }, + { + "epoch": 0.37, + "learning_rate": 7.271902279058244e-06, + "loss": 0.5911, + "step": 12573 + }, + { + "epoch": 0.37, + "learning_rate": 7.2714784507761136e-06, + "loss": 0.8195, + "step": 12574 + }, + { + "epoch": 0.37, + "learning_rate": 7.271054601927529e-06, + "loss": 0.9628, + "step": 12575 + }, + { + "epoch": 0.37, + "learning_rate": 7.270630732516326e-06, + "loss": 0.6566, + "step": 12576 + }, + { + "epoch": 0.37, + "learning_rate": 7.2702068425463425e-06, + "loss": 0.8, + "step": 12577 + }, + { + "epoch": 0.37, + "learning_rate": 7.269782932021418e-06, + "loss": 0.482, + "step": 12578 + }, + { + "epoch": 0.37, + "learning_rate": 7.269359000945388e-06, + "loss": 0.8401, + "step": 12579 + }, + { + "epoch": 0.37, + "learning_rate": 7.268935049322092e-06, + "loss": 0.6845, + "step": 12580 + }, + { + "epoch": 0.37, + "learning_rate": 7.268511077155369e-06, + "loss": 0.577, + "step": 12581 + }, + { + "epoch": 0.37, + "learning_rate": 7.268087084449058e-06, + "loss": 0.6663, + "step": 12582 + }, + { + "epoch": 0.37, + "learning_rate": 7.267663071206998e-06, + "loss": 0.5921, + "step": 12583 + }, + { + "epoch": 0.37, + "learning_rate": 7.267239037433026e-06, + "loss": 0.8966, + "step": 12584 + }, + { + "epoch": 0.37, + "learning_rate": 7.266814983130985e-06, + "loss": 0.6949, + "step": 12585 + }, + { + "epoch": 0.37, + "learning_rate": 7.26639090830471e-06, + "loss": 0.5821, + "step": 12586 + }, + { + "epoch": 0.37, + "learning_rate": 7.265966812958044e-06, + "loss": 0.8816, + "step": 12587 + }, + { + "epoch": 0.37, + "learning_rate": 7.265542697094825e-06, + "loss": 0.8559, + "step": 12588 + }, + { + "epoch": 0.37, + "learning_rate": 7.265118560718896e-06, + "loss": 0.6186, + "step": 12589 + }, + { + "epoch": 0.37, + "learning_rate": 7.264694403834094e-06, + "loss": 0.8783, + "step": 12590 + }, + { + "epoch": 0.37, + "learning_rate": 7.26427022644426e-06, + "loss": 0.6614, + "step": 12591 + }, + { + "epoch": 0.37, + "learning_rate": 7.2638460285532365e-06, + "loss": 0.754, + "step": 12592 + }, + { + "epoch": 0.37, + "learning_rate": 7.263421810164861e-06, + "loss": 1.0295, + "step": 12593 + }, + { + "epoch": 0.37, + "learning_rate": 7.262997571282977e-06, + "loss": 0.5917, + "step": 12594 + }, + { + "epoch": 0.37, + "learning_rate": 7.262573311911425e-06, + "loss": 0.9975, + "step": 12595 + }, + { + "epoch": 0.37, + "learning_rate": 7.262149032054048e-06, + "loss": 0.7029, + "step": 12596 + }, + { + "epoch": 0.37, + "learning_rate": 7.261724731714684e-06, + "loss": 0.7362, + "step": 12597 + }, + { + "epoch": 0.37, + "learning_rate": 7.261300410897177e-06, + "loss": 0.8281, + "step": 12598 + }, + { + "epoch": 0.37, + "learning_rate": 7.260876069605369e-06, + "loss": 0.6459, + "step": 12599 + }, + { + "epoch": 0.37, + "learning_rate": 7.2604517078431015e-06, + "loss": 0.8403, + "step": 12600 + }, + { + "epoch": 0.37, + "learning_rate": 7.2600273256142165e-06, + "loss": 0.668, + "step": 12601 + }, + { + "epoch": 0.37, + "learning_rate": 7.259602922922557e-06, + "loss": 0.8968, + "step": 12602 + }, + { + "epoch": 0.37, + "learning_rate": 7.259178499771965e-06, + "loss": 0.8266, + "step": 12603 + }, + { + "epoch": 0.37, + "learning_rate": 7.258754056166284e-06, + "loss": 0.7824, + "step": 12604 + }, + { + "epoch": 0.37, + "learning_rate": 7.258329592109356e-06, + "loss": 0.7527, + "step": 12605 + }, + { + "epoch": 0.37, + "learning_rate": 7.257905107605026e-06, + "loss": 0.7461, + "step": 12606 + }, + { + "epoch": 0.37, + "learning_rate": 7.257480602657137e-06, + "loss": 0.9181, + "step": 12607 + }, + { + "epoch": 0.37, + "learning_rate": 7.257056077269529e-06, + "loss": 0.9214, + "step": 12608 + }, + { + "epoch": 0.37, + "learning_rate": 7.25663153144605e-06, + "loss": 0.6586, + "step": 12609 + }, + { + "epoch": 0.37, + "learning_rate": 7.256206965190543e-06, + "loss": 0.8945, + "step": 12610 + }, + { + "epoch": 0.37, + "learning_rate": 7.255782378506851e-06, + "loss": 0.5065, + "step": 12611 + }, + { + "epoch": 0.37, + "learning_rate": 7.25535777139882e-06, + "loss": 0.5477, + "step": 12612 + }, + { + "epoch": 0.37, + "learning_rate": 7.254933143870291e-06, + "loss": 0.6973, + "step": 12613 + }, + { + "epoch": 0.37, + "learning_rate": 7.254508495925113e-06, + "loss": 0.7864, + "step": 12614 + }, + { + "epoch": 0.37, + "learning_rate": 7.254083827567129e-06, + "loss": 0.5765, + "step": 12615 + }, + { + "epoch": 0.37, + "learning_rate": 7.253659138800184e-06, + "loss": 0.8969, + "step": 12616 + }, + { + "epoch": 0.37, + "learning_rate": 7.253234429628123e-06, + "loss": 0.7662, + "step": 12617 + }, + { + "epoch": 0.37, + "learning_rate": 7.252809700054791e-06, + "loss": 0.8201, + "step": 12618 + }, + { + "epoch": 0.37, + "learning_rate": 7.252384950084033e-06, + "loss": 0.616, + "step": 12619 + }, + { + "epoch": 0.37, + "learning_rate": 7.251960179719699e-06, + "loss": 0.9934, + "step": 12620 + }, + { + "epoch": 0.37, + "learning_rate": 7.25153538896563e-06, + "loss": 0.9125, + "step": 12621 + }, + { + "epoch": 0.37, + "learning_rate": 7.2511105778256755e-06, + "loss": 0.6109, + "step": 12622 + }, + { + "epoch": 0.37, + "learning_rate": 7.25068574630368e-06, + "loss": 0.6108, + "step": 12623 + }, + { + "epoch": 0.37, + "learning_rate": 7.250260894403489e-06, + "loss": 0.7213, + "step": 12624 + }, + { + "epoch": 0.37, + "learning_rate": 7.249836022128952e-06, + "loss": 1.0631, + "step": 12625 + }, + { + "epoch": 0.37, + "learning_rate": 7.249411129483915e-06, + "loss": 0.9084, + "step": 12626 + }, + { + "epoch": 0.37, + "learning_rate": 7.248986216472224e-06, + "loss": 0.6177, + "step": 12627 + }, + { + "epoch": 0.37, + "learning_rate": 7.2485612830977245e-06, + "loss": 0.8555, + "step": 12628 + }, + { + "epoch": 0.37, + "learning_rate": 7.248136329364269e-06, + "loss": 0.7794, + "step": 12629 + }, + { + "epoch": 0.37, + "learning_rate": 7.2477113552757015e-06, + "loss": 0.8481, + "step": 12630 + }, + { + "epoch": 0.37, + "learning_rate": 7.247286360835871e-06, + "loss": 0.6974, + "step": 12631 + }, + { + "epoch": 0.37, + "learning_rate": 7.246861346048626e-06, + "loss": 0.9914, + "step": 12632 + }, + { + "epoch": 0.37, + "learning_rate": 7.246436310917812e-06, + "loss": 0.657, + "step": 12633 + }, + { + "epoch": 0.37, + "learning_rate": 7.2460112554472804e-06, + "loss": 0.7305, + "step": 12634 + }, + { + "epoch": 0.37, + "learning_rate": 7.245586179640879e-06, + "loss": 0.9458, + "step": 12635 + }, + { + "epoch": 0.37, + "learning_rate": 7.245161083502456e-06, + "loss": 0.8347, + "step": 12636 + }, + { + "epoch": 0.37, + "learning_rate": 7.24473596703586e-06, + "loss": 0.9872, + "step": 12637 + }, + { + "epoch": 0.37, + "learning_rate": 7.244310830244938e-06, + "loss": 0.6595, + "step": 12638 + }, + { + "epoch": 0.37, + "learning_rate": 7.243885673133545e-06, + "loss": 0.9787, + "step": 12639 + }, + { + "epoch": 0.37, + "learning_rate": 7.2434604957055265e-06, + "loss": 0.8282, + "step": 12640 + }, + { + "epoch": 0.37, + "learning_rate": 7.243035297964734e-06, + "loss": 0.6439, + "step": 12641 + }, + { + "epoch": 0.37, + "learning_rate": 7.242610079915015e-06, + "loss": 0.6635, + "step": 12642 + }, + { + "epoch": 0.37, + "learning_rate": 7.24218484156022e-06, + "loss": 0.6781, + "step": 12643 + }, + { + "epoch": 0.37, + "learning_rate": 7.241759582904202e-06, + "loss": 0.8538, + "step": 12644 + }, + { + "epoch": 0.37, + "learning_rate": 7.241334303950809e-06, + "loss": 0.8851, + "step": 12645 + }, + { + "epoch": 0.37, + "learning_rate": 7.240909004703891e-06, + "loss": 0.8995, + "step": 12646 + }, + { + "epoch": 0.37, + "learning_rate": 7.2404836851672996e-06, + "loss": 0.9278, + "step": 12647 + }, + { + "epoch": 0.37, + "learning_rate": 7.240058345344885e-06, + "loss": 0.5727, + "step": 12648 + }, + { + "epoch": 0.37, + "learning_rate": 7.2396329852405e-06, + "loss": 0.7496, + "step": 12649 + }, + { + "epoch": 0.37, + "learning_rate": 7.239207604857996e-06, + "loss": 0.6762, + "step": 12650 + }, + { + "epoch": 0.37, + "learning_rate": 7.238782204201222e-06, + "loss": 0.621, + "step": 12651 + }, + { + "epoch": 0.37, + "learning_rate": 7.238356783274031e-06, + "loss": 0.963, + "step": 12652 + }, + { + "epoch": 0.37, + "learning_rate": 7.237931342080275e-06, + "loss": 0.6945, + "step": 12653 + }, + { + "epoch": 0.37, + "learning_rate": 7.237505880623808e-06, + "loss": 0.797, + "step": 12654 + }, + { + "epoch": 0.37, + "learning_rate": 7.237080398908479e-06, + "loss": 0.8248, + "step": 12655 + }, + { + "epoch": 0.37, + "learning_rate": 7.236654896938142e-06, + "loss": 0.8068, + "step": 12656 + }, + { + "epoch": 0.37, + "learning_rate": 7.236229374716649e-06, + "loss": 0.6946, + "step": 12657 + }, + { + "epoch": 0.37, + "learning_rate": 7.235803832247853e-06, + "loss": 0.7972, + "step": 12658 + }, + { + "epoch": 0.37, + "learning_rate": 7.235378269535607e-06, + "loss": 0.7371, + "step": 12659 + }, + { + "epoch": 0.37, + "learning_rate": 7.234952686583765e-06, + "loss": 0.7917, + "step": 12660 + }, + { + "epoch": 0.37, + "learning_rate": 7.2345270833961785e-06, + "loss": 0.7789, + "step": 12661 + }, + { + "epoch": 0.37, + "learning_rate": 7.234101459976702e-06, + "loss": 0.723, + "step": 12662 + }, + { + "epoch": 0.37, + "learning_rate": 7.2336758163291894e-06, + "loss": 0.7956, + "step": 12663 + }, + { + "epoch": 0.37, + "learning_rate": 7.233250152457494e-06, + "loss": 0.6973, + "step": 12664 + }, + { + "epoch": 0.37, + "learning_rate": 7.232824468365472e-06, + "loss": 0.8272, + "step": 12665 + }, + { + "epoch": 0.37, + "learning_rate": 7.232398764056974e-06, + "loss": 0.8937, + "step": 12666 + }, + { + "epoch": 0.37, + "learning_rate": 7.231973039535855e-06, + "loss": 0.6775, + "step": 12667 + }, + { + "epoch": 0.37, + "learning_rate": 7.231547294805972e-06, + "loss": 0.5984, + "step": 12668 + }, + { + "epoch": 0.37, + "learning_rate": 7.231121529871179e-06, + "loss": 0.9946, + "step": 12669 + }, + { + "epoch": 0.37, + "learning_rate": 7.2306957447353295e-06, + "loss": 0.6783, + "step": 12670 + }, + { + "epoch": 0.37, + "learning_rate": 7.230269939402281e-06, + "loss": 0.5167, + "step": 12671 + }, + { + "epoch": 0.37, + "learning_rate": 7.229844113875887e-06, + "loss": 0.8163, + "step": 12672 + }, + { + "epoch": 0.37, + "learning_rate": 7.229418268160003e-06, + "loss": 0.8392, + "step": 12673 + }, + { + "epoch": 0.37, + "learning_rate": 7.228992402258486e-06, + "loss": 0.9686, + "step": 12674 + }, + { + "epoch": 0.37, + "learning_rate": 7.228566516175192e-06, + "loss": 0.7533, + "step": 12675 + }, + { + "epoch": 0.37, + "learning_rate": 7.228140609913975e-06, + "loss": 0.8636, + "step": 12676 + }, + { + "epoch": 0.37, + "learning_rate": 7.227714683478692e-06, + "loss": 0.8335, + "step": 12677 + }, + { + "epoch": 0.37, + "learning_rate": 7.2272887368732e-06, + "loss": 0.5431, + "step": 12678 + }, + { + "epoch": 0.37, + "learning_rate": 7.226862770101357e-06, + "loss": 0.6968, + "step": 12679 + }, + { + "epoch": 0.37, + "learning_rate": 7.226436783167017e-06, + "loss": 0.7502, + "step": 12680 + }, + { + "epoch": 0.37, + "learning_rate": 7.226010776074039e-06, + "loss": 0.7244, + "step": 12681 + }, + { + "epoch": 0.37, + "learning_rate": 7.22558474882628e-06, + "loss": 0.9525, + "step": 12682 + }, + { + "epoch": 0.37, + "learning_rate": 7.225158701427596e-06, + "loss": 0.9393, + "step": 12683 + }, + { + "epoch": 0.37, + "learning_rate": 7.224732633881845e-06, + "loss": 1.0091, + "step": 12684 + }, + { + "epoch": 0.37, + "learning_rate": 7.224306546192885e-06, + "loss": 0.8393, + "step": 12685 + }, + { + "epoch": 0.37, + "learning_rate": 7.223880438364575e-06, + "loss": 0.6967, + "step": 12686 + }, + { + "epoch": 0.37, + "learning_rate": 7.2234543104007694e-06, + "loss": 0.6599, + "step": 12687 + }, + { + "epoch": 0.37, + "learning_rate": 7.223028162305331e-06, + "loss": 0.6432, + "step": 12688 + }, + { + "epoch": 0.37, + "learning_rate": 7.222601994082117e-06, + "loss": 0.7956, + "step": 12689 + }, + { + "epoch": 0.37, + "learning_rate": 7.2221758057349835e-06, + "loss": 0.775, + "step": 12690 + }, + { + "epoch": 0.37, + "learning_rate": 7.221749597267792e-06, + "loss": 0.8307, + "step": 12691 + }, + { + "epoch": 0.37, + "learning_rate": 7.2213233686844e-06, + "loss": 0.7709, + "step": 12692 + }, + { + "epoch": 0.37, + "learning_rate": 7.220897119988668e-06, + "loss": 1.022, + "step": 12693 + }, + { + "epoch": 0.37, + "learning_rate": 7.220470851184453e-06, + "loss": 0.5112, + "step": 12694 + }, + { + "epoch": 0.37, + "learning_rate": 7.220044562275618e-06, + "loss": 0.685, + "step": 12695 + }, + { + "epoch": 0.37, + "learning_rate": 7.219618253266021e-06, + "loss": 0.8729, + "step": 12696 + }, + { + "epoch": 0.37, + "learning_rate": 7.2191919241595185e-06, + "loss": 0.6981, + "step": 12697 + }, + { + "epoch": 0.37, + "learning_rate": 7.218765574959977e-06, + "loss": 0.7675, + "step": 12698 + }, + { + "epoch": 0.37, + "learning_rate": 7.218339205671253e-06, + "loss": 0.8468, + "step": 12699 + }, + { + "epoch": 0.37, + "learning_rate": 7.217912816297207e-06, + "loss": 0.6583, + "step": 12700 + }, + { + "epoch": 0.37, + "learning_rate": 7.217486406841701e-06, + "loss": 0.5833, + "step": 12701 + }, + { + "epoch": 0.37, + "learning_rate": 7.2170599773085935e-06, + "loss": 0.5156, + "step": 12702 + }, + { + "epoch": 0.37, + "learning_rate": 7.216633527701749e-06, + "loss": 0.7334, + "step": 12703 + }, + { + "epoch": 0.37, + "learning_rate": 7.216207058025024e-06, + "loss": 0.8511, + "step": 12704 + }, + { + "epoch": 0.37, + "learning_rate": 7.215780568282283e-06, + "loss": 0.6404, + "step": 12705 + }, + { + "epoch": 0.37, + "learning_rate": 7.215354058477388e-06, + "loss": 0.9338, + "step": 12706 + }, + { + "epoch": 0.37, + "learning_rate": 7.214927528614198e-06, + "loss": 0.6462, + "step": 12707 + }, + { + "epoch": 0.37, + "learning_rate": 7.214500978696578e-06, + "loss": 0.7355, + "step": 12708 + }, + { + "epoch": 0.37, + "learning_rate": 7.214074408728389e-06, + "loss": 0.7683, + "step": 12709 + }, + { + "epoch": 0.37, + "learning_rate": 7.213647818713492e-06, + "loss": 0.6458, + "step": 12710 + }, + { + "epoch": 0.37, + "learning_rate": 7.2132212086557506e-06, + "loss": 0.8648, + "step": 12711 + }, + { + "epoch": 0.37, + "learning_rate": 7.212794578559026e-06, + "loss": 0.9448, + "step": 12712 + }, + { + "epoch": 0.37, + "learning_rate": 7.2123679284271844e-06, + "loss": 0.6011, + "step": 12713 + }, + { + "epoch": 0.37, + "learning_rate": 7.2119412582640844e-06, + "loss": 0.8165, + "step": 12714 + }, + { + "epoch": 0.37, + "learning_rate": 7.211514568073592e-06, + "loss": 0.7816, + "step": 12715 + }, + { + "epoch": 0.37, + "learning_rate": 7.211087857859569e-06, + "loss": 0.7608, + "step": 12716 + }, + { + "epoch": 0.37, + "learning_rate": 7.210661127625882e-06, + "loss": 0.7549, + "step": 12717 + }, + { + "epoch": 0.37, + "learning_rate": 7.210234377376391e-06, + "loss": 0.904, + "step": 12718 + }, + { + "epoch": 0.37, + "learning_rate": 7.209807607114961e-06, + "loss": 0.8325, + "step": 12719 + }, + { + "epoch": 0.37, + "learning_rate": 7.209380816845457e-06, + "loss": 0.6709, + "step": 12720 + }, + { + "epoch": 0.37, + "learning_rate": 7.208954006571743e-06, + "loss": 0.7917, + "step": 12721 + }, + { + "epoch": 0.37, + "learning_rate": 7.208527176297683e-06, + "loss": 0.6412, + "step": 12722 + }, + { + "epoch": 0.37, + "learning_rate": 7.208100326027141e-06, + "loss": 0.7723, + "step": 12723 + }, + { + "epoch": 0.37, + "learning_rate": 7.2076734557639835e-06, + "loss": 0.8177, + "step": 12724 + }, + { + "epoch": 0.37, + "learning_rate": 7.207246565512073e-06, + "loss": 1.0789, + "step": 12725 + }, + { + "epoch": 0.37, + "learning_rate": 7.206819655275278e-06, + "loss": 0.7226, + "step": 12726 + }, + { + "epoch": 0.37, + "learning_rate": 7.206392725057461e-06, + "loss": 0.7593, + "step": 12727 + }, + { + "epoch": 0.37, + "learning_rate": 7.205965774862489e-06, + "loss": 0.7358, + "step": 12728 + }, + { + "epoch": 0.37, + "learning_rate": 7.205538804694226e-06, + "loss": 1.028, + "step": 12729 + }, + { + "epoch": 0.37, + "learning_rate": 7.20511181455654e-06, + "loss": 0.744, + "step": 12730 + }, + { + "epoch": 0.37, + "learning_rate": 7.204684804453295e-06, + "loss": 0.7156, + "step": 12731 + }, + { + "epoch": 0.37, + "learning_rate": 7.204257774388359e-06, + "loss": 0.9502, + "step": 12732 + }, + { + "epoch": 0.37, + "learning_rate": 7.203830724365599e-06, + "loss": 0.6495, + "step": 12733 + }, + { + "epoch": 0.37, + "learning_rate": 7.20340365438888e-06, + "loss": 0.6252, + "step": 12734 + }, + { + "epoch": 0.37, + "learning_rate": 7.202976564462069e-06, + "loss": 0.5745, + "step": 12735 + }, + { + "epoch": 0.37, + "learning_rate": 7.202549454589032e-06, + "loss": 0.8635, + "step": 12736 + }, + { + "epoch": 0.37, + "learning_rate": 7.202122324773637e-06, + "loss": 0.7458, + "step": 12737 + }, + { + "epoch": 0.37, + "learning_rate": 7.201695175019754e-06, + "loss": 0.8458, + "step": 12738 + }, + { + "epoch": 0.37, + "learning_rate": 7.2012680053312465e-06, + "loss": 0.8433, + "step": 12739 + }, + { + "epoch": 0.37, + "learning_rate": 7.200840815711985e-06, + "loss": 0.6791, + "step": 12740 + }, + { + "epoch": 0.37, + "learning_rate": 7.200413606165835e-06, + "loss": 1.0099, + "step": 12741 + }, + { + "epoch": 0.37, + "learning_rate": 7.199986376696666e-06, + "loss": 0.7717, + "step": 12742 + }, + { + "epoch": 0.37, + "learning_rate": 7.199559127308346e-06, + "loss": 0.8939, + "step": 12743 + }, + { + "epoch": 0.37, + "learning_rate": 7.199131858004745e-06, + "loss": 0.9326, + "step": 12744 + }, + { + "epoch": 0.37, + "learning_rate": 7.198704568789728e-06, + "loss": 0.8883, + "step": 12745 + }, + { + "epoch": 0.37, + "learning_rate": 7.198277259667165e-06, + "loss": 0.8398, + "step": 12746 + }, + { + "epoch": 0.37, + "learning_rate": 7.1978499306409265e-06, + "loss": 0.5429, + "step": 12747 + }, + { + "epoch": 0.37, + "learning_rate": 7.197422581714881e-06, + "loss": 0.7663, + "step": 12748 + }, + { + "epoch": 0.37, + "learning_rate": 7.196995212892899e-06, + "loss": 0.7981, + "step": 12749 + }, + { + "epoch": 0.37, + "learning_rate": 7.196567824178848e-06, + "loss": 0.904, + "step": 12750 + }, + { + "epoch": 0.37, + "learning_rate": 7.196140415576596e-06, + "loss": 0.9575, + "step": 12751 + }, + { + "epoch": 0.37, + "learning_rate": 7.195712987090017e-06, + "loss": 0.7241, + "step": 12752 + }, + { + "epoch": 0.37, + "learning_rate": 7.195285538722978e-06, + "loss": 0.8472, + "step": 12753 + }, + { + "epoch": 0.37, + "learning_rate": 7.194858070479351e-06, + "loss": 0.6351, + "step": 12754 + }, + { + "epoch": 0.37, + "learning_rate": 7.194430582363006e-06, + "loss": 0.8409, + "step": 12755 + }, + { + "epoch": 0.37, + "learning_rate": 7.194003074377813e-06, + "loss": 0.6744, + "step": 12756 + }, + { + "epoch": 0.37, + "learning_rate": 7.193575546527643e-06, + "loss": 0.745, + "step": 12757 + }, + { + "epoch": 0.37, + "learning_rate": 7.1931479988163674e-06, + "loss": 0.9237, + "step": 12758 + }, + { + "epoch": 0.37, + "learning_rate": 7.192720431247859e-06, + "loss": 0.7867, + "step": 12759 + }, + { + "epoch": 0.37, + "learning_rate": 7.1922928438259835e-06, + "loss": 0.7251, + "step": 12760 + }, + { + "epoch": 0.37, + "learning_rate": 7.191865236554616e-06, + "loss": 0.5407, + "step": 12761 + }, + { + "epoch": 0.37, + "learning_rate": 7.19143760943763e-06, + "loss": 0.6425, + "step": 12762 + }, + { + "epoch": 0.37, + "learning_rate": 7.191009962478895e-06, + "loss": 0.811, + "step": 12763 + }, + { + "epoch": 0.37, + "learning_rate": 7.190582295682283e-06, + "loss": 0.7022, + "step": 12764 + }, + { + "epoch": 0.38, + "learning_rate": 7.1901546090516675e-06, + "loss": 0.8265, + "step": 12765 + }, + { + "epoch": 0.38, + "learning_rate": 7.189726902590918e-06, + "loss": 0.7551, + "step": 12766 + }, + { + "epoch": 0.38, + "learning_rate": 7.18929917630391e-06, + "loss": 0.6328, + "step": 12767 + }, + { + "epoch": 0.38, + "learning_rate": 7.188871430194515e-06, + "loss": 0.8873, + "step": 12768 + }, + { + "epoch": 0.38, + "learning_rate": 7.188443664266606e-06, + "loss": 0.7611, + "step": 12769 + }, + { + "epoch": 0.38, + "learning_rate": 7.188015878524056e-06, + "loss": 0.7289, + "step": 12770 + }, + { + "epoch": 0.38, + "learning_rate": 7.187588072970738e-06, + "loss": 0.4552, + "step": 12771 + }, + { + "epoch": 0.38, + "learning_rate": 7.187160247610526e-06, + "loss": 0.7441, + "step": 12772 + }, + { + "epoch": 0.38, + "learning_rate": 7.186732402447294e-06, + "loss": 0.4134, + "step": 12773 + }, + { + "epoch": 0.38, + "learning_rate": 7.186304537484916e-06, + "loss": 1.0383, + "step": 12774 + }, + { + "epoch": 0.38, + "learning_rate": 7.185876652727265e-06, + "loss": 0.8613, + "step": 12775 + }, + { + "epoch": 0.38, + "learning_rate": 7.185448748178214e-06, + "loss": 0.9273, + "step": 12776 + }, + { + "epoch": 0.38, + "learning_rate": 7.1850208238416395e-06, + "loss": 0.7646, + "step": 12777 + }, + { + "epoch": 0.38, + "learning_rate": 7.184592879721416e-06, + "loss": 0.6484, + "step": 12778 + }, + { + "epoch": 0.38, + "learning_rate": 7.184164915821417e-06, + "loss": 1.0466, + "step": 12779 + }, + { + "epoch": 0.38, + "learning_rate": 7.183736932145518e-06, + "loss": 0.7446, + "step": 12780 + }, + { + "epoch": 0.38, + "learning_rate": 7.183308928697593e-06, + "loss": 0.5468, + "step": 12781 + }, + { + "epoch": 0.38, + "learning_rate": 7.1828809054815196e-06, + "loss": 0.9777, + "step": 12782 + }, + { + "epoch": 0.38, + "learning_rate": 7.182452862501171e-06, + "loss": 0.9059, + "step": 12783 + }, + { + "epoch": 0.38, + "learning_rate": 7.1820247997604245e-06, + "loss": 0.7891, + "step": 12784 + }, + { + "epoch": 0.38, + "learning_rate": 7.181596717263154e-06, + "loss": 0.991, + "step": 12785 + }, + { + "epoch": 0.38, + "learning_rate": 7.181168615013237e-06, + "loss": 0.6778, + "step": 12786 + }, + { + "epoch": 0.38, + "learning_rate": 7.180740493014549e-06, + "loss": 0.6743, + "step": 12787 + }, + { + "epoch": 0.38, + "learning_rate": 7.180312351270966e-06, + "loss": 0.6496, + "step": 12788 + }, + { + "epoch": 0.38, + "learning_rate": 7.179884189786365e-06, + "loss": 0.8914, + "step": 12789 + }, + { + "epoch": 0.38, + "learning_rate": 7.1794560085646204e-06, + "loss": 1.047, + "step": 12790 + }, + { + "epoch": 0.38, + "learning_rate": 7.179027807609613e-06, + "loss": 0.9948, + "step": 12791 + }, + { + "epoch": 0.38, + "learning_rate": 7.178599586925219e-06, + "loss": 0.5403, + "step": 12792 + }, + { + "epoch": 0.38, + "learning_rate": 7.178171346515314e-06, + "loss": 0.8287, + "step": 12793 + }, + { + "epoch": 0.38, + "learning_rate": 7.177743086383775e-06, + "loss": 0.6925, + "step": 12794 + }, + { + "epoch": 0.38, + "learning_rate": 7.17731480653448e-06, + "loss": 0.6426, + "step": 12795 + }, + { + "epoch": 0.38, + "learning_rate": 7.176886506971309e-06, + "loss": 0.7613, + "step": 12796 + }, + { + "epoch": 0.38, + "learning_rate": 7.176458187698138e-06, + "loss": 0.8678, + "step": 12797 + }, + { + "epoch": 0.38, + "learning_rate": 7.176029848718844e-06, + "loss": 0.5339, + "step": 12798 + }, + { + "epoch": 0.38, + "learning_rate": 7.175601490037307e-06, + "loss": 0.6679, + "step": 12799 + }, + { + "epoch": 0.38, + "learning_rate": 7.175173111657405e-06, + "loss": 0.8911, + "step": 12800 + }, + { + "epoch": 0.38, + "learning_rate": 7.174744713583017e-06, + "loss": 0.7851, + "step": 12801 + }, + { + "epoch": 0.38, + "learning_rate": 7.174316295818022e-06, + "loss": 0.7113, + "step": 12802 + }, + { + "epoch": 0.38, + "learning_rate": 7.1738878583662975e-06, + "loss": 0.7821, + "step": 12803 + }, + { + "epoch": 0.38, + "learning_rate": 7.173459401231722e-06, + "loss": 0.7365, + "step": 12804 + }, + { + "epoch": 0.38, + "learning_rate": 7.17303092441818e-06, + "loss": 0.7115, + "step": 12805 + }, + { + "epoch": 0.38, + "learning_rate": 7.172602427929545e-06, + "loss": 0.7297, + "step": 12806 + }, + { + "epoch": 0.38, + "learning_rate": 7.1721739117697e-06, + "loss": 0.8028, + "step": 12807 + }, + { + "epoch": 0.38, + "learning_rate": 7.1717453759425235e-06, + "loss": 0.7078, + "step": 12808 + }, + { + "epoch": 0.38, + "learning_rate": 7.171316820451897e-06, + "loss": 0.4739, + "step": 12809 + }, + { + "epoch": 0.38, + "learning_rate": 7.170888245301697e-06, + "loss": 0.7443, + "step": 12810 + }, + { + "epoch": 0.38, + "learning_rate": 7.170459650495809e-06, + "loss": 0.7865, + "step": 12811 + }, + { + "epoch": 0.38, + "learning_rate": 7.170031036038112e-06, + "loss": 0.5357, + "step": 12812 + }, + { + "epoch": 0.38, + "learning_rate": 7.169602401932485e-06, + "loss": 0.4253, + "step": 12813 + }, + { + "epoch": 0.38, + "learning_rate": 7.169173748182811e-06, + "loss": 0.6538, + "step": 12814 + }, + { + "epoch": 0.38, + "learning_rate": 7.168745074792968e-06, + "loss": 0.7999, + "step": 12815 + }, + { + "epoch": 0.38, + "learning_rate": 7.16831638176684e-06, + "loss": 0.9809, + "step": 12816 + }, + { + "epoch": 0.38, + "learning_rate": 7.167887669108309e-06, + "loss": 0.7738, + "step": 12817 + }, + { + "epoch": 0.38, + "learning_rate": 7.167458936821256e-06, + "loss": 0.7677, + "step": 12818 + }, + { + "epoch": 0.38, + "learning_rate": 7.167030184909561e-06, + "loss": 0.8918, + "step": 12819 + }, + { + "epoch": 0.38, + "learning_rate": 7.166601413377108e-06, + "loss": 0.9572, + "step": 12820 + }, + { + "epoch": 0.38, + "learning_rate": 7.166172622227778e-06, + "loss": 0.9021, + "step": 12821 + }, + { + "epoch": 0.38, + "learning_rate": 7.165743811465455e-06, + "loss": 0.5991, + "step": 12822 + }, + { + "epoch": 0.38, + "learning_rate": 7.1653149810940205e-06, + "loss": 0.7343, + "step": 12823 + }, + { + "epoch": 0.38, + "learning_rate": 7.164886131117357e-06, + "loss": 0.7557, + "step": 12824 + }, + { + "epoch": 0.38, + "learning_rate": 7.164457261539348e-06, + "loss": 0.75, + "step": 12825 + }, + { + "epoch": 0.38, + "learning_rate": 7.1640283723638756e-06, + "loss": 0.7264, + "step": 12826 + }, + { + "epoch": 0.38, + "learning_rate": 7.1635994635948236e-06, + "loss": 0.9227, + "step": 12827 + }, + { + "epoch": 0.38, + "learning_rate": 7.163170535236077e-06, + "loss": 1.0471, + "step": 12828 + }, + { + "epoch": 0.38, + "learning_rate": 7.162741587291516e-06, + "loss": 0.7039, + "step": 12829 + }, + { + "epoch": 0.38, + "learning_rate": 7.162312619765026e-06, + "loss": 1.0378, + "step": 12830 + }, + { + "epoch": 0.38, + "learning_rate": 7.1618836326604925e-06, + "loss": 0.5385, + "step": 12831 + }, + { + "epoch": 0.38, + "learning_rate": 7.1614546259817984e-06, + "loss": 0.7024, + "step": 12832 + }, + { + "epoch": 0.38, + "learning_rate": 7.161025599732828e-06, + "loss": 0.6699, + "step": 12833 + }, + { + "epoch": 0.38, + "learning_rate": 7.160596553917466e-06, + "loss": 0.7317, + "step": 12834 + }, + { + "epoch": 0.38, + "learning_rate": 7.160167488539596e-06, + "loss": 0.9361, + "step": 12835 + }, + { + "epoch": 0.38, + "learning_rate": 7.159738403603105e-06, + "loss": 0.628, + "step": 12836 + }, + { + "epoch": 0.38, + "learning_rate": 7.1593092991118754e-06, + "loss": 0.6724, + "step": 12837 + }, + { + "epoch": 0.38, + "learning_rate": 7.158880175069795e-06, + "loss": 0.9173, + "step": 12838 + }, + { + "epoch": 0.38, + "learning_rate": 7.158451031480747e-06, + "loss": 0.7622, + "step": 12839 + }, + { + "epoch": 0.38, + "learning_rate": 7.158021868348618e-06, + "loss": 0.7372, + "step": 12840 + }, + { + "epoch": 0.38, + "learning_rate": 7.157592685677294e-06, + "loss": 0.8364, + "step": 12841 + }, + { + "epoch": 0.38, + "learning_rate": 7.15716348347066e-06, + "loss": 0.5642, + "step": 12842 + }, + { + "epoch": 0.38, + "learning_rate": 7.156734261732604e-06, + "loss": 0.8189, + "step": 12843 + }, + { + "epoch": 0.38, + "learning_rate": 7.15630502046701e-06, + "loss": 0.7443, + "step": 12844 + }, + { + "epoch": 0.38, + "learning_rate": 7.155875759677766e-06, + "loss": 0.8081, + "step": 12845 + }, + { + "epoch": 0.38, + "learning_rate": 7.155446479368758e-06, + "loss": 0.5924, + "step": 12846 + }, + { + "epoch": 0.38, + "learning_rate": 7.155017179543873e-06, + "loss": 0.5219, + "step": 12847 + }, + { + "epoch": 0.38, + "learning_rate": 7.1545878602069976e-06, + "loss": 0.9054, + "step": 12848 + }, + { + "epoch": 0.38, + "learning_rate": 7.154158521362017e-06, + "loss": 0.6912, + "step": 12849 + }, + { + "epoch": 0.38, + "learning_rate": 7.153729163012822e-06, + "loss": 0.5822, + "step": 12850 + }, + { + "epoch": 0.38, + "learning_rate": 7.1532997851633005e-06, + "loss": 0.7955, + "step": 12851 + }, + { + "epoch": 0.38, + "learning_rate": 7.152870387817337e-06, + "loss": 0.7077, + "step": 12852 + }, + { + "epoch": 0.38, + "learning_rate": 7.15244097097882e-06, + "loss": 0.9228, + "step": 12853 + }, + { + "epoch": 0.38, + "learning_rate": 7.1520115346516385e-06, + "loss": 0.7755, + "step": 12854 + }, + { + "epoch": 0.38, + "learning_rate": 7.151582078839681e-06, + "loss": 0.8066, + "step": 12855 + }, + { + "epoch": 0.38, + "learning_rate": 7.1511526035468355e-06, + "loss": 0.5848, + "step": 12856 + }, + { + "epoch": 0.38, + "learning_rate": 7.150723108776991e-06, + "loss": 0.6885, + "step": 12857 + }, + { + "epoch": 0.38, + "learning_rate": 7.150293594534036e-06, + "loss": 0.8132, + "step": 12858 + }, + { + "epoch": 0.38, + "learning_rate": 7.149864060821857e-06, + "loss": 0.6188, + "step": 12859 + }, + { + "epoch": 0.38, + "learning_rate": 7.149434507644346e-06, + "loss": 0.902, + "step": 12860 + }, + { + "epoch": 0.38, + "learning_rate": 7.1490049350053925e-06, + "loss": 0.5983, + "step": 12861 + }, + { + "epoch": 0.38, + "learning_rate": 7.148575342908884e-06, + "loss": 0.8698, + "step": 12862 + }, + { + "epoch": 0.38, + "learning_rate": 7.148145731358712e-06, + "loss": 0.8016, + "step": 12863 + }, + { + "epoch": 0.38, + "learning_rate": 7.147716100358766e-06, + "loss": 0.7512, + "step": 12864 + }, + { + "epoch": 0.38, + "learning_rate": 7.147286449912933e-06, + "loss": 0.6598, + "step": 12865 + }, + { + "epoch": 0.38, + "learning_rate": 7.1468567800251065e-06, + "loss": 0.5863, + "step": 12866 + }, + { + "epoch": 0.38, + "learning_rate": 7.146427090699177e-06, + "loss": 0.8121, + "step": 12867 + }, + { + "epoch": 0.38, + "learning_rate": 7.145997381939033e-06, + "loss": 0.6412, + "step": 12868 + }, + { + "epoch": 0.38, + "learning_rate": 7.145567653748564e-06, + "loss": 0.932, + "step": 12869 + }, + { + "epoch": 0.38, + "learning_rate": 7.145137906131665e-06, + "loss": 0.7016, + "step": 12870 + }, + { + "epoch": 0.38, + "learning_rate": 7.1447081390922245e-06, + "loss": 0.8309, + "step": 12871 + }, + { + "epoch": 0.38, + "learning_rate": 7.144278352634133e-06, + "loss": 0.8994, + "step": 12872 + }, + { + "epoch": 0.38, + "learning_rate": 7.143848546761284e-06, + "loss": 1.0275, + "step": 12873 + }, + { + "epoch": 0.38, + "learning_rate": 7.143418721477567e-06, + "loss": 0.8284, + "step": 12874 + }, + { + "epoch": 0.38, + "learning_rate": 7.142988876786876e-06, + "loss": 0.6266, + "step": 12875 + }, + { + "epoch": 0.38, + "learning_rate": 7.142559012693101e-06, + "loss": 0.6034, + "step": 12876 + }, + { + "epoch": 0.38, + "learning_rate": 7.142129129200135e-06, + "loss": 0.7708, + "step": 12877 + }, + { + "epoch": 0.38, + "learning_rate": 7.141699226311869e-06, + "loss": 0.6706, + "step": 12878 + }, + { + "epoch": 0.38, + "learning_rate": 7.141269304032197e-06, + "loss": 0.8161, + "step": 12879 + }, + { + "epoch": 0.38, + "learning_rate": 7.140839362365011e-06, + "loss": 0.8957, + "step": 12880 + }, + { + "epoch": 0.38, + "learning_rate": 7.1404094013142035e-06, + "loss": 0.8441, + "step": 12881 + }, + { + "epoch": 0.38, + "learning_rate": 7.1399794208836685e-06, + "loss": 0.7906, + "step": 12882 + }, + { + "epoch": 0.38, + "learning_rate": 7.139549421077297e-06, + "loss": 0.8435, + "step": 12883 + }, + { + "epoch": 0.38, + "learning_rate": 7.139119401898985e-06, + "loss": 0.6572, + "step": 12884 + }, + { + "epoch": 0.38, + "learning_rate": 7.1386893633526245e-06, + "loss": 0.8911, + "step": 12885 + }, + { + "epoch": 0.38, + "learning_rate": 7.13825930544211e-06, + "loss": 0.7309, + "step": 12886 + }, + { + "epoch": 0.38, + "learning_rate": 7.137829228171334e-06, + "loss": 0.8123, + "step": 12887 + }, + { + "epoch": 0.38, + "learning_rate": 7.137399131544191e-06, + "loss": 0.6584, + "step": 12888 + }, + { + "epoch": 0.38, + "learning_rate": 7.136969015564574e-06, + "loss": 0.6905, + "step": 12889 + }, + { + "epoch": 0.38, + "learning_rate": 7.1365388802363796e-06, + "loss": 0.7899, + "step": 12890 + }, + { + "epoch": 0.38, + "learning_rate": 7.136108725563502e-06, + "loss": 0.7709, + "step": 12891 + }, + { + "epoch": 0.38, + "learning_rate": 7.135678551549836e-06, + "loss": 0.918, + "step": 12892 + }, + { + "epoch": 0.38, + "learning_rate": 7.135248358199275e-06, + "loss": 0.7799, + "step": 12893 + }, + { + "epoch": 0.38, + "learning_rate": 7.134818145515714e-06, + "loss": 0.7312, + "step": 12894 + }, + { + "epoch": 0.38, + "learning_rate": 7.1343879135030515e-06, + "loss": 0.7743, + "step": 12895 + }, + { + "epoch": 0.38, + "learning_rate": 7.133957662165179e-06, + "loss": 0.751, + "step": 12896 + }, + { + "epoch": 0.38, + "learning_rate": 7.133527391505994e-06, + "loss": 0.552, + "step": 12897 + }, + { + "epoch": 0.38, + "learning_rate": 7.133097101529391e-06, + "loss": 0.9064, + "step": 12898 + }, + { + "epoch": 0.38, + "learning_rate": 7.1326667922392675e-06, + "loss": 0.6379, + "step": 12899 + }, + { + "epoch": 0.38, + "learning_rate": 7.13223646363952e-06, + "loss": 0.6426, + "step": 12900 + }, + { + "epoch": 0.38, + "learning_rate": 7.131806115734043e-06, + "loss": 0.6024, + "step": 12901 + }, + { + "epoch": 0.38, + "learning_rate": 7.131375748526734e-06, + "loss": 0.453, + "step": 12902 + }, + { + "epoch": 0.38, + "learning_rate": 7.13094536202149e-06, + "loss": 0.7317, + "step": 12903 + }, + { + "epoch": 0.38, + "learning_rate": 7.130514956222207e-06, + "loss": 0.8545, + "step": 12904 + }, + { + "epoch": 0.38, + "learning_rate": 7.130084531132781e-06, + "loss": 0.887, + "step": 12905 + }, + { + "epoch": 0.38, + "learning_rate": 7.1296540867571104e-06, + "loss": 0.7692, + "step": 12906 + }, + { + "epoch": 0.38, + "learning_rate": 7.1292236230990945e-06, + "loss": 0.7702, + "step": 12907 + }, + { + "epoch": 0.38, + "learning_rate": 7.1287931401626264e-06, + "loss": 0.755, + "step": 12908 + }, + { + "epoch": 0.38, + "learning_rate": 7.128362637951607e-06, + "loss": 0.7549, + "step": 12909 + }, + { + "epoch": 0.38, + "learning_rate": 7.127932116469933e-06, + "loss": 0.6612, + "step": 12910 + }, + { + "epoch": 0.38, + "learning_rate": 7.127501575721503e-06, + "loss": 0.5985, + "step": 12911 + }, + { + "epoch": 0.38, + "learning_rate": 7.1270710157102154e-06, + "loss": 0.9292, + "step": 12912 + }, + { + "epoch": 0.38, + "learning_rate": 7.126640436439967e-06, + "loss": 0.8329, + "step": 12913 + }, + { + "epoch": 0.38, + "learning_rate": 7.12620983791466e-06, + "loss": 0.7711, + "step": 12914 + }, + { + "epoch": 0.38, + "learning_rate": 7.125779220138188e-06, + "loss": 0.4978, + "step": 12915 + }, + { + "epoch": 0.38, + "learning_rate": 7.125348583114453e-06, + "loss": 1.0318, + "step": 12916 + }, + { + "epoch": 0.38, + "learning_rate": 7.124917926847354e-06, + "loss": 0.7406, + "step": 12917 + }, + { + "epoch": 0.38, + "learning_rate": 7.124487251340791e-06, + "loss": 0.5892, + "step": 12918 + }, + { + "epoch": 0.38, + "learning_rate": 7.1240565565986605e-06, + "loss": 0.6634, + "step": 12919 + }, + { + "epoch": 0.38, + "learning_rate": 7.123625842624866e-06, + "loss": 0.9849, + "step": 12920 + }, + { + "epoch": 0.38, + "learning_rate": 7.1231951094233045e-06, + "loss": 0.7281, + "step": 12921 + }, + { + "epoch": 0.38, + "learning_rate": 7.122764356997876e-06, + "loss": 0.9868, + "step": 12922 + }, + { + "epoch": 0.38, + "learning_rate": 7.12233358535248e-06, + "loss": 1.0464, + "step": 12923 + }, + { + "epoch": 0.38, + "learning_rate": 7.12190279449102e-06, + "loss": 0.8365, + "step": 12924 + }, + { + "epoch": 0.38, + "learning_rate": 7.121471984417395e-06, + "loss": 0.519, + "step": 12925 + }, + { + "epoch": 0.38, + "learning_rate": 7.1210411551355045e-06, + "loss": 0.8363, + "step": 12926 + }, + { + "epoch": 0.38, + "learning_rate": 7.120610306649251e-06, + "loss": 0.745, + "step": 12927 + }, + { + "epoch": 0.38, + "learning_rate": 7.120179438962531e-06, + "loss": 1.0026, + "step": 12928 + }, + { + "epoch": 0.38, + "learning_rate": 7.119748552079252e-06, + "loss": 0.7996, + "step": 12929 + }, + { + "epoch": 0.38, + "learning_rate": 7.119317646003312e-06, + "loss": 0.745, + "step": 12930 + }, + { + "epoch": 0.38, + "learning_rate": 7.118886720738613e-06, + "loss": 0.596, + "step": 12931 + }, + { + "epoch": 0.38, + "learning_rate": 7.118455776289057e-06, + "loss": 0.61, + "step": 12932 + }, + { + "epoch": 0.38, + "learning_rate": 7.118024812658545e-06, + "loss": 0.4927, + "step": 12933 + }, + { + "epoch": 0.38, + "learning_rate": 7.117593829850981e-06, + "loss": 0.7435, + "step": 12934 + }, + { + "epoch": 0.38, + "learning_rate": 7.117162827870264e-06, + "loss": 0.7575, + "step": 12935 + }, + { + "epoch": 0.38, + "learning_rate": 7.116731806720299e-06, + "loss": 0.8238, + "step": 12936 + }, + { + "epoch": 0.38, + "learning_rate": 7.116300766404989e-06, + "loss": 0.5182, + "step": 12937 + }, + { + "epoch": 0.38, + "learning_rate": 7.115869706928234e-06, + "loss": 0.7011, + "step": 12938 + }, + { + "epoch": 0.38, + "learning_rate": 7.115438628293938e-06, + "loss": 0.733, + "step": 12939 + }, + { + "epoch": 0.38, + "learning_rate": 7.115007530506005e-06, + "loss": 0.9867, + "step": 12940 + }, + { + "epoch": 0.38, + "learning_rate": 7.114576413568339e-06, + "loss": 0.5989, + "step": 12941 + }, + { + "epoch": 0.38, + "learning_rate": 7.114145277484841e-06, + "loss": 0.5371, + "step": 12942 + }, + { + "epoch": 0.38, + "learning_rate": 7.113714122259415e-06, + "loss": 0.7522, + "step": 12943 + }, + { + "epoch": 0.38, + "learning_rate": 7.113282947895967e-06, + "loss": 0.8111, + "step": 12944 + }, + { + "epoch": 0.38, + "learning_rate": 7.1128517543984e-06, + "loss": 0.742, + "step": 12945 + }, + { + "epoch": 0.38, + "learning_rate": 7.112420541770616e-06, + "loss": 0.7282, + "step": 12946 + }, + { + "epoch": 0.38, + "learning_rate": 7.111989310016522e-06, + "loss": 0.8372, + "step": 12947 + }, + { + "epoch": 0.38, + "learning_rate": 7.1115580591400216e-06, + "loss": 0.7435, + "step": 12948 + }, + { + "epoch": 0.38, + "learning_rate": 7.111126789145017e-06, + "loss": 0.7989, + "step": 12949 + }, + { + "epoch": 0.38, + "learning_rate": 7.110695500035418e-06, + "loss": 0.5683, + "step": 12950 + }, + { + "epoch": 0.38, + "learning_rate": 7.110264191815126e-06, + "loss": 0.7535, + "step": 12951 + }, + { + "epoch": 0.38, + "learning_rate": 7.109832864488047e-06, + "loss": 0.7086, + "step": 12952 + }, + { + "epoch": 0.38, + "learning_rate": 7.109401518058084e-06, + "loss": 0.8004, + "step": 12953 + }, + { + "epoch": 0.38, + "learning_rate": 7.108970152529148e-06, + "loss": 0.691, + "step": 12954 + }, + { + "epoch": 0.38, + "learning_rate": 7.10853876790514e-06, + "loss": 0.6329, + "step": 12955 + }, + { + "epoch": 0.38, + "learning_rate": 7.108107364189966e-06, + "loss": 0.6542, + "step": 12956 + }, + { + "epoch": 0.38, + "learning_rate": 7.107675941387537e-06, + "loss": 0.84, + "step": 12957 + }, + { + "epoch": 0.38, + "learning_rate": 7.107244499501752e-06, + "loss": 0.54, + "step": 12958 + }, + { + "epoch": 0.38, + "learning_rate": 7.106813038536522e-06, + "loss": 0.8885, + "step": 12959 + }, + { + "epoch": 0.38, + "learning_rate": 7.106381558495753e-06, + "loss": 0.8058, + "step": 12960 + }, + { + "epoch": 0.38, + "learning_rate": 7.105950059383351e-06, + "loss": 0.7367, + "step": 12961 + }, + { + "epoch": 0.38, + "learning_rate": 7.105518541203224e-06, + "loss": 0.7668, + "step": 12962 + }, + { + "epoch": 0.38, + "learning_rate": 7.105087003959275e-06, + "loss": 0.6404, + "step": 12963 + }, + { + "epoch": 0.38, + "learning_rate": 7.104655447655418e-06, + "loss": 0.5533, + "step": 12964 + }, + { + "epoch": 0.38, + "learning_rate": 7.104223872295555e-06, + "loss": 0.8331, + "step": 12965 + }, + { + "epoch": 0.38, + "learning_rate": 7.103792277883595e-06, + "loss": 0.8799, + "step": 12966 + }, + { + "epoch": 0.38, + "learning_rate": 7.103360664423446e-06, + "loss": 0.6911, + "step": 12967 + }, + { + "epoch": 0.38, + "learning_rate": 7.102929031919017e-06, + "loss": 0.8442, + "step": 12968 + }, + { + "epoch": 0.38, + "learning_rate": 7.1024973803742145e-06, + "loss": 0.6921, + "step": 12969 + }, + { + "epoch": 0.38, + "learning_rate": 7.102065709792948e-06, + "loss": 0.7771, + "step": 12970 + }, + { + "epoch": 0.38, + "learning_rate": 7.101634020179125e-06, + "loss": 0.9223, + "step": 12971 + }, + { + "epoch": 0.38, + "learning_rate": 7.101202311536655e-06, + "loss": 0.7925, + "step": 12972 + }, + { + "epoch": 0.38, + "learning_rate": 7.100770583869444e-06, + "loss": 0.593, + "step": 12973 + }, + { + "epoch": 0.38, + "learning_rate": 7.1003388371814046e-06, + "loss": 0.7568, + "step": 12974 + }, + { + "epoch": 0.38, + "learning_rate": 7.099907071476444e-06, + "loss": 0.8429, + "step": 12975 + }, + { + "epoch": 0.38, + "learning_rate": 7.099475286758473e-06, + "loss": 0.8239, + "step": 12976 + }, + { + "epoch": 0.38, + "learning_rate": 7.099043483031399e-06, + "loss": 0.752, + "step": 12977 + }, + { + "epoch": 0.38, + "learning_rate": 7.098611660299133e-06, + "loss": 0.7946, + "step": 12978 + }, + { + "epoch": 0.38, + "learning_rate": 7.098179818565584e-06, + "loss": 0.5282, + "step": 12979 + }, + { + "epoch": 0.38, + "learning_rate": 7.097747957834663e-06, + "loss": 0.7326, + "step": 12980 + }, + { + "epoch": 0.38, + "learning_rate": 7.09731607811028e-06, + "loss": 0.7991, + "step": 12981 + }, + { + "epoch": 0.38, + "learning_rate": 7.096884179396344e-06, + "loss": 0.7083, + "step": 12982 + }, + { + "epoch": 0.38, + "learning_rate": 7.096452261696767e-06, + "loss": 0.6148, + "step": 12983 + }, + { + "epoch": 0.38, + "learning_rate": 7.0960203250154595e-06, + "loss": 0.7401, + "step": 12984 + }, + { + "epoch": 0.38, + "learning_rate": 7.095588369356332e-06, + "loss": 0.8877, + "step": 12985 + }, + { + "epoch": 0.38, + "learning_rate": 7.095156394723295e-06, + "loss": 0.9463, + "step": 12986 + }, + { + "epoch": 0.38, + "learning_rate": 7.094724401120261e-06, + "loss": 0.9159, + "step": 12987 + }, + { + "epoch": 0.38, + "learning_rate": 7.0942923885511405e-06, + "loss": 0.8527, + "step": 12988 + }, + { + "epoch": 0.38, + "learning_rate": 7.093860357019845e-06, + "loss": 0.6497, + "step": 12989 + }, + { + "epoch": 0.38, + "learning_rate": 7.0934283065302855e-06, + "loss": 0.7038, + "step": 12990 + }, + { + "epoch": 0.38, + "learning_rate": 7.092996237086376e-06, + "loss": 0.7269, + "step": 12991 + }, + { + "epoch": 0.38, + "learning_rate": 7.092564148692025e-06, + "loss": 0.7399, + "step": 12992 + }, + { + "epoch": 0.38, + "learning_rate": 7.092132041351149e-06, + "loss": 0.7168, + "step": 12993 + }, + { + "epoch": 0.38, + "learning_rate": 7.091699915067658e-06, + "loss": 0.7882, + "step": 12994 + }, + { + "epoch": 0.38, + "learning_rate": 7.091267769845465e-06, + "loss": 0.9053, + "step": 12995 + }, + { + "epoch": 0.38, + "learning_rate": 7.090835605688482e-06, + "loss": 0.6892, + "step": 12996 + }, + { + "epoch": 0.38, + "learning_rate": 7.090403422600622e-06, + "loss": 0.6517, + "step": 12997 + }, + { + "epoch": 0.38, + "learning_rate": 7.0899712205858005e-06, + "loss": 0.6189, + "step": 12998 + }, + { + "epoch": 0.38, + "learning_rate": 7.089538999647928e-06, + "loss": 0.7225, + "step": 12999 + }, + { + "epoch": 0.38, + "learning_rate": 7.089106759790919e-06, + "loss": 0.7536, + "step": 13000 + }, + { + "epoch": 0.38, + "learning_rate": 7.088674501018687e-06, + "loss": 0.845, + "step": 13001 + }, + { + "epoch": 0.38, + "learning_rate": 7.088242223335144e-06, + "loss": 0.7654, + "step": 13002 + }, + { + "epoch": 0.38, + "learning_rate": 7.087809926744208e-06, + "loss": 0.6373, + "step": 13003 + }, + { + "epoch": 0.38, + "learning_rate": 7.08737761124979e-06, + "loss": 0.7377, + "step": 13004 + }, + { + "epoch": 0.38, + "learning_rate": 7.086945276855806e-06, + "loss": 0.843, + "step": 13005 + }, + { + "epoch": 0.38, + "learning_rate": 7.086512923566166e-06, + "loss": 0.6841, + "step": 13006 + }, + { + "epoch": 0.38, + "learning_rate": 7.086080551384792e-06, + "loss": 0.7757, + "step": 13007 + }, + { + "epoch": 0.38, + "learning_rate": 7.085648160315593e-06, + "loss": 0.6342, + "step": 13008 + }, + { + "epoch": 0.38, + "learning_rate": 7.085215750362486e-06, + "loss": 0.8479, + "step": 13009 + }, + { + "epoch": 0.38, + "learning_rate": 7.084783321529387e-06, + "loss": 0.6431, + "step": 13010 + }, + { + "epoch": 0.38, + "learning_rate": 7.084350873820209e-06, + "loss": 0.9783, + "step": 13011 + }, + { + "epoch": 0.38, + "learning_rate": 7.083918407238868e-06, + "loss": 0.9154, + "step": 13012 + }, + { + "epoch": 0.38, + "learning_rate": 7.0834859217892815e-06, + "loss": 0.7968, + "step": 13013 + }, + { + "epoch": 0.38, + "learning_rate": 7.083053417475364e-06, + "loss": 0.6387, + "step": 13014 + }, + { + "epoch": 0.38, + "learning_rate": 7.0826208943010325e-06, + "loss": 0.9506, + "step": 13015 + }, + { + "epoch": 0.38, + "learning_rate": 7.082188352270201e-06, + "loss": 0.9476, + "step": 13016 + }, + { + "epoch": 0.38, + "learning_rate": 7.081755791386787e-06, + "loss": 0.5349, + "step": 13017 + }, + { + "epoch": 0.38, + "learning_rate": 7.081323211654708e-06, + "loss": 0.8395, + "step": 13018 + }, + { + "epoch": 0.38, + "learning_rate": 7.08089061307788e-06, + "loss": 1.0541, + "step": 13019 + }, + { + "epoch": 0.38, + "learning_rate": 7.080457995660219e-06, + "loss": 0.7128, + "step": 13020 + }, + { + "epoch": 0.38, + "learning_rate": 7.080025359405644e-06, + "loss": 0.9549, + "step": 13021 + }, + { + "epoch": 0.38, + "learning_rate": 7.079592704318069e-06, + "loss": 0.7181, + "step": 13022 + }, + { + "epoch": 0.38, + "learning_rate": 7.079160030401414e-06, + "loss": 0.7237, + "step": 13023 + }, + { + "epoch": 0.38, + "learning_rate": 7.0787273376595965e-06, + "loss": 0.8328, + "step": 13024 + }, + { + "epoch": 0.38, + "learning_rate": 7.078294626096533e-06, + "loss": 0.5995, + "step": 13025 + }, + { + "epoch": 0.38, + "learning_rate": 7.077861895716143e-06, + "loss": 0.8708, + "step": 13026 + }, + { + "epoch": 0.38, + "learning_rate": 7.077429146522341e-06, + "loss": 0.6, + "step": 13027 + }, + { + "epoch": 0.38, + "learning_rate": 7.076996378519049e-06, + "loss": 0.7133, + "step": 13028 + }, + { + "epoch": 0.38, + "learning_rate": 7.076563591710184e-06, + "loss": 0.6671, + "step": 13029 + }, + { + "epoch": 0.38, + "learning_rate": 7.076130786099664e-06, + "loss": 0.7091, + "step": 13030 + }, + { + "epoch": 0.38, + "learning_rate": 7.075697961691408e-06, + "loss": 1.0834, + "step": 13031 + }, + { + "epoch": 0.38, + "learning_rate": 7.075265118489334e-06, + "loss": 0.6972, + "step": 13032 + }, + { + "epoch": 0.38, + "learning_rate": 7.074832256497364e-06, + "loss": 0.7169, + "step": 13033 + }, + { + "epoch": 0.38, + "learning_rate": 7.074399375719415e-06, + "loss": 0.909, + "step": 13034 + }, + { + "epoch": 0.38, + "learning_rate": 7.073966476159406e-06, + "loss": 0.8741, + "step": 13035 + }, + { + "epoch": 0.38, + "learning_rate": 7.073533557821258e-06, + "loss": 0.8157, + "step": 13036 + }, + { + "epoch": 0.38, + "learning_rate": 7.073100620708889e-06, + "loss": 0.6343, + "step": 13037 + }, + { + "epoch": 0.38, + "learning_rate": 7.072667664826222e-06, + "loss": 0.8029, + "step": 13038 + }, + { + "epoch": 0.38, + "learning_rate": 7.072234690177173e-06, + "loss": 0.8812, + "step": 13039 + }, + { + "epoch": 0.38, + "learning_rate": 7.071801696765665e-06, + "loss": 0.6373, + "step": 13040 + }, + { + "epoch": 0.38, + "learning_rate": 7.071368684595618e-06, + "loss": 0.8526, + "step": 13041 + }, + { + "epoch": 0.38, + "learning_rate": 7.070935653670952e-06, + "loss": 0.8083, + "step": 13042 + }, + { + "epoch": 0.38, + "learning_rate": 7.070502603995588e-06, + "loss": 0.8635, + "step": 13043 + }, + { + "epoch": 0.38, + "learning_rate": 7.070069535573447e-06, + "loss": 0.6025, + "step": 13044 + }, + { + "epoch": 0.38, + "learning_rate": 7.06963644840845e-06, + "loss": 0.7045, + "step": 13045 + }, + { + "epoch": 0.38, + "learning_rate": 7.069203342504518e-06, + "loss": 0.6774, + "step": 13046 + }, + { + "epoch": 0.38, + "learning_rate": 7.0687702178655735e-06, + "loss": 0.8852, + "step": 13047 + }, + { + "epoch": 0.38, + "learning_rate": 7.068337074495537e-06, + "loss": 0.5364, + "step": 13048 + }, + { + "epoch": 0.38, + "learning_rate": 7.067903912398332e-06, + "loss": 0.7654, + "step": 13049 + }, + { + "epoch": 0.38, + "learning_rate": 7.067470731577877e-06, + "loss": 0.8381, + "step": 13050 + }, + { + "epoch": 0.38, + "learning_rate": 7.067037532038097e-06, + "loss": 0.8607, + "step": 13051 + }, + { + "epoch": 0.38, + "learning_rate": 7.066604313782912e-06, + "loss": 0.787, + "step": 13052 + }, + { + "epoch": 0.38, + "learning_rate": 7.066171076816248e-06, + "loss": 0.9886, + "step": 13053 + }, + { + "epoch": 0.38, + "learning_rate": 7.065737821142024e-06, + "loss": 0.6701, + "step": 13054 + }, + { + "epoch": 0.38, + "learning_rate": 7.065304546764167e-06, + "loss": 0.7624, + "step": 13055 + }, + { + "epoch": 0.38, + "learning_rate": 7.064871253686594e-06, + "loss": 0.9179, + "step": 13056 + }, + { + "epoch": 0.38, + "learning_rate": 7.064437941913233e-06, + "loss": 0.642, + "step": 13057 + }, + { + "epoch": 0.38, + "learning_rate": 7.064004611448005e-06, + "loss": 0.8387, + "step": 13058 + }, + { + "epoch": 0.38, + "learning_rate": 7.063571262294835e-06, + "loss": 0.6625, + "step": 13059 + }, + { + "epoch": 0.38, + "learning_rate": 7.063137894457646e-06, + "loss": 0.7536, + "step": 13060 + }, + { + "epoch": 0.38, + "learning_rate": 7.06270450794036e-06, + "loss": 0.5801, + "step": 13061 + }, + { + "epoch": 0.38, + "learning_rate": 7.062271102746905e-06, + "loss": 0.6243, + "step": 13062 + }, + { + "epoch": 0.38, + "learning_rate": 7.0618376788812e-06, + "loss": 0.8077, + "step": 13063 + }, + { + "epoch": 0.38, + "learning_rate": 7.061404236347175e-06, + "loss": 0.5503, + "step": 13064 + }, + { + "epoch": 0.38, + "learning_rate": 7.06097077514875e-06, + "loss": 0.7131, + "step": 13065 + }, + { + "epoch": 0.38, + "learning_rate": 7.060537295289851e-06, + "loss": 0.7135, + "step": 13066 + }, + { + "epoch": 0.38, + "learning_rate": 7.0601037967744034e-06, + "loss": 0.6356, + "step": 13067 + }, + { + "epoch": 0.38, + "learning_rate": 7.059670279606332e-06, + "loss": 0.7959, + "step": 13068 + }, + { + "epoch": 0.38, + "learning_rate": 7.059236743789562e-06, + "loss": 0.9048, + "step": 13069 + }, + { + "epoch": 0.38, + "learning_rate": 7.0588031893280174e-06, + "loss": 0.775, + "step": 13070 + }, + { + "epoch": 0.38, + "learning_rate": 7.058369616225624e-06, + "loss": 0.5612, + "step": 13071 + }, + { + "epoch": 0.38, + "learning_rate": 7.0579360244863104e-06, + "loss": 0.6125, + "step": 13072 + }, + { + "epoch": 0.38, + "learning_rate": 7.057502414113999e-06, + "loss": 0.698, + "step": 13073 + }, + { + "epoch": 0.38, + "learning_rate": 7.0570687851126184e-06, + "loss": 0.8919, + "step": 13074 + }, + { + "epoch": 0.38, + "learning_rate": 7.056635137486092e-06, + "loss": 0.7713, + "step": 13075 + }, + { + "epoch": 0.38, + "learning_rate": 7.056201471238348e-06, + "loss": 0.7437, + "step": 13076 + }, + { + "epoch": 0.38, + "learning_rate": 7.055767786373313e-06, + "loss": 0.6637, + "step": 13077 + }, + { + "epoch": 0.38, + "learning_rate": 7.055334082894912e-06, + "loss": 0.8147, + "step": 13078 + }, + { + "epoch": 0.38, + "learning_rate": 7.054900360807075e-06, + "loss": 0.8066, + "step": 13079 + }, + { + "epoch": 0.38, + "learning_rate": 7.054466620113726e-06, + "loss": 1.0249, + "step": 13080 + }, + { + "epoch": 0.38, + "learning_rate": 7.054032860818791e-06, + "loss": 0.6968, + "step": 13081 + }, + { + "epoch": 0.38, + "learning_rate": 7.053599082926202e-06, + "loss": 0.3577, + "step": 13082 + }, + { + "epoch": 0.38, + "learning_rate": 7.053165286439885e-06, + "loss": 1.1854, + "step": 13083 + }, + { + "epoch": 0.38, + "learning_rate": 7.052731471363765e-06, + "loss": 0.7215, + "step": 13084 + }, + { + "epoch": 0.38, + "learning_rate": 7.052297637701773e-06, + "loss": 0.7715, + "step": 13085 + }, + { + "epoch": 0.38, + "learning_rate": 7.051863785457833e-06, + "loss": 0.8492, + "step": 13086 + }, + { + "epoch": 0.38, + "learning_rate": 7.051429914635878e-06, + "loss": 0.7272, + "step": 13087 + }, + { + "epoch": 0.38, + "learning_rate": 7.050996025239833e-06, + "loss": 0.5878, + "step": 13088 + }, + { + "epoch": 0.38, + "learning_rate": 7.05056211727363e-06, + "loss": 0.8356, + "step": 13089 + }, + { + "epoch": 0.38, + "learning_rate": 7.050128190741194e-06, + "loss": 0.8903, + "step": 13090 + }, + { + "epoch": 0.38, + "learning_rate": 7.0496942456464545e-06, + "loss": 0.7304, + "step": 13091 + }, + { + "epoch": 0.38, + "learning_rate": 7.049260281993342e-06, + "loss": 0.8166, + "step": 13092 + }, + { + "epoch": 0.38, + "learning_rate": 7.048826299785785e-06, + "loss": 0.7107, + "step": 13093 + }, + { + "epoch": 0.38, + "learning_rate": 7.0483922990277135e-06, + "loss": 0.8106, + "step": 13094 + }, + { + "epoch": 0.38, + "learning_rate": 7.047958279723056e-06, + "loss": 0.7463, + "step": 13095 + }, + { + "epoch": 0.38, + "learning_rate": 7.0475242418757415e-06, + "loss": 0.8141, + "step": 13096 + }, + { + "epoch": 0.38, + "learning_rate": 7.047090185489702e-06, + "loss": 0.55, + "step": 13097 + }, + { + "epoch": 0.38, + "learning_rate": 7.0466561105688665e-06, + "loss": 0.8041, + "step": 13098 + }, + { + "epoch": 0.38, + "learning_rate": 7.046222017117166e-06, + "loss": 0.6406, + "step": 13099 + }, + { + "epoch": 0.38, + "learning_rate": 7.045787905138529e-06, + "loss": 0.8164, + "step": 13100 + }, + { + "epoch": 0.38, + "learning_rate": 7.045353774636887e-06, + "loss": 0.4234, + "step": 13101 + }, + { + "epoch": 0.38, + "learning_rate": 7.044919625616171e-06, + "loss": 0.7117, + "step": 13102 + }, + { + "epoch": 0.38, + "learning_rate": 7.044485458080313e-06, + "loss": 0.82, + "step": 13103 + }, + { + "epoch": 0.38, + "learning_rate": 7.044051272033242e-06, + "loss": 0.9871, + "step": 13104 + }, + { + "epoch": 0.39, + "learning_rate": 7.0436170674788895e-06, + "loss": 0.8565, + "step": 13105 + }, + { + "epoch": 0.39, + "learning_rate": 7.043182844421188e-06, + "loss": 0.8212, + "step": 13106 + }, + { + "epoch": 0.39, + "learning_rate": 7.042748602864068e-06, + "loss": 0.5487, + "step": 13107 + }, + { + "epoch": 0.39, + "learning_rate": 7.042314342811463e-06, + "loss": 0.8641, + "step": 13108 + }, + { + "epoch": 0.39, + "learning_rate": 7.041880064267302e-06, + "loss": 0.842, + "step": 13109 + }, + { + "epoch": 0.39, + "learning_rate": 7.04144576723552e-06, + "loss": 0.8512, + "step": 13110 + }, + { + "epoch": 0.39, + "learning_rate": 7.041011451720047e-06, + "loss": 0.8407, + "step": 13111 + }, + { + "epoch": 0.39, + "learning_rate": 7.040577117724816e-06, + "loss": 0.5084, + "step": 13112 + }, + { + "epoch": 0.39, + "learning_rate": 7.04014276525376e-06, + "loss": 0.8446, + "step": 13113 + }, + { + "epoch": 0.39, + "learning_rate": 7.039708394310811e-06, + "loss": 0.8427, + "step": 13114 + }, + { + "epoch": 0.39, + "learning_rate": 7.039274004899903e-06, + "loss": 0.7396, + "step": 13115 + }, + { + "epoch": 0.39, + "learning_rate": 7.038839597024968e-06, + "loss": 0.8149, + "step": 13116 + }, + { + "epoch": 0.39, + "learning_rate": 7.038405170689941e-06, + "loss": 0.8396, + "step": 13117 + }, + { + "epoch": 0.39, + "learning_rate": 7.0379707258987526e-06, + "loss": 0.7666, + "step": 13118 + }, + { + "epoch": 0.39, + "learning_rate": 7.037536262655338e-06, + "loss": 0.5144, + "step": 13119 + }, + { + "epoch": 0.39, + "learning_rate": 7.03710178096363e-06, + "loss": 0.6384, + "step": 13120 + }, + { + "epoch": 0.39, + "learning_rate": 7.036667280827564e-06, + "loss": 0.8178, + "step": 13121 + }, + { + "epoch": 0.39, + "learning_rate": 7.036232762251074e-06, + "loss": 0.627, + "step": 13122 + }, + { + "epoch": 0.39, + "learning_rate": 7.035798225238093e-06, + "loss": 0.7425, + "step": 13123 + }, + { + "epoch": 0.39, + "learning_rate": 7.035363669792555e-06, + "loss": 0.8178, + "step": 13124 + }, + { + "epoch": 0.39, + "learning_rate": 7.034929095918396e-06, + "loss": 0.7533, + "step": 13125 + }, + { + "epoch": 0.39, + "learning_rate": 7.03449450361955e-06, + "loss": 0.8987, + "step": 13126 + }, + { + "epoch": 0.39, + "learning_rate": 7.034059892899953e-06, + "loss": 0.7373, + "step": 13127 + }, + { + "epoch": 0.39, + "learning_rate": 7.033625263763538e-06, + "loss": 0.6438, + "step": 13128 + }, + { + "epoch": 0.39, + "learning_rate": 7.033190616214243e-06, + "loss": 0.4981, + "step": 13129 + }, + { + "epoch": 0.39, + "learning_rate": 7.032755950256001e-06, + "loss": 0.6693, + "step": 13130 + }, + { + "epoch": 0.39, + "learning_rate": 7.032321265892747e-06, + "loss": 0.7385, + "step": 13131 + }, + { + "epoch": 0.39, + "learning_rate": 7.0318865631284195e-06, + "loss": 0.7474, + "step": 13132 + }, + { + "epoch": 0.39, + "learning_rate": 7.031451841966952e-06, + "loss": 1.0091, + "step": 13133 + }, + { + "epoch": 0.39, + "learning_rate": 7.031017102412282e-06, + "loss": 0.6819, + "step": 13134 + }, + { + "epoch": 0.39, + "learning_rate": 7.030582344468344e-06, + "loss": 0.78, + "step": 13135 + }, + { + "epoch": 0.39, + "learning_rate": 7.0301475681390765e-06, + "loss": 0.6201, + "step": 13136 + }, + { + "epoch": 0.39, + "learning_rate": 7.029712773428415e-06, + "loss": 0.7271, + "step": 13137 + }, + { + "epoch": 0.39, + "learning_rate": 7.0292779603402975e-06, + "loss": 0.5833, + "step": 13138 + }, + { + "epoch": 0.39, + "learning_rate": 7.0288431288786596e-06, + "loss": 0.9375, + "step": 13139 + }, + { + "epoch": 0.39, + "learning_rate": 7.028408279047436e-06, + "loss": 0.6801, + "step": 13140 + }, + { + "epoch": 0.39, + "learning_rate": 7.027973410850568e-06, + "loss": 0.6933, + "step": 13141 + }, + { + "epoch": 0.39, + "learning_rate": 7.027538524291992e-06, + "loss": 0.7677, + "step": 13142 + }, + { + "epoch": 0.39, + "learning_rate": 7.027103619375646e-06, + "loss": 0.4141, + "step": 13143 + }, + { + "epoch": 0.39, + "learning_rate": 7.026668696105466e-06, + "loss": 0.7956, + "step": 13144 + }, + { + "epoch": 0.39, + "learning_rate": 7.026233754485388e-06, + "loss": 0.6326, + "step": 13145 + }, + { + "epoch": 0.39, + "learning_rate": 7.025798794519355e-06, + "loss": 0.7255, + "step": 13146 + }, + { + "epoch": 0.39, + "learning_rate": 7.025363816211302e-06, + "loss": 0.7529, + "step": 13147 + }, + { + "epoch": 0.39, + "learning_rate": 7.02492881956517e-06, + "loss": 0.6177, + "step": 13148 + }, + { + "epoch": 0.39, + "learning_rate": 7.024493804584894e-06, + "loss": 1.1572, + "step": 13149 + }, + { + "epoch": 0.39, + "learning_rate": 7.024058771274416e-06, + "loss": 0.5747, + "step": 13150 + }, + { + "epoch": 0.39, + "learning_rate": 7.023623719637674e-06, + "loss": 0.5991, + "step": 13151 + }, + { + "epoch": 0.39, + "learning_rate": 7.023188649678604e-06, + "loss": 0.6699, + "step": 13152 + }, + { + "epoch": 0.39, + "learning_rate": 7.022753561401149e-06, + "loss": 0.7466, + "step": 13153 + }, + { + "epoch": 0.39, + "learning_rate": 7.022318454809247e-06, + "loss": 0.5955, + "step": 13154 + }, + { + "epoch": 0.39, + "learning_rate": 7.0218833299068365e-06, + "loss": 1.0936, + "step": 13155 + }, + { + "epoch": 0.39, + "learning_rate": 7.02144818669786e-06, + "loss": 0.6388, + "step": 13156 + }, + { + "epoch": 0.39, + "learning_rate": 7.021013025186255e-06, + "loss": 0.8014, + "step": 13157 + }, + { + "epoch": 0.39, + "learning_rate": 7.0205778453759625e-06, + "loss": 1.0292, + "step": 13158 + }, + { + "epoch": 0.39, + "learning_rate": 7.020142647270922e-06, + "loss": 0.798, + "step": 13159 + }, + { + "epoch": 0.39, + "learning_rate": 7.019707430875075e-06, + "loss": 0.8432, + "step": 13160 + }, + { + "epoch": 0.39, + "learning_rate": 7.0192721961923606e-06, + "loss": 0.7262, + "step": 13161 + }, + { + "epoch": 0.39, + "learning_rate": 7.018836943226721e-06, + "loss": 0.811, + "step": 13162 + }, + { + "epoch": 0.39, + "learning_rate": 7.018401671982097e-06, + "loss": 0.6544, + "step": 13163 + }, + { + "epoch": 0.39, + "learning_rate": 7.017966382462428e-06, + "loss": 0.8888, + "step": 13164 + }, + { + "epoch": 0.39, + "learning_rate": 7.017531074671655e-06, + "loss": 0.7678, + "step": 13165 + }, + { + "epoch": 0.39, + "learning_rate": 7.017095748613722e-06, + "loss": 0.7261, + "step": 13166 + }, + { + "epoch": 0.39, + "learning_rate": 7.01666040429257e-06, + "loss": 0.5804, + "step": 13167 + }, + { + "epoch": 0.39, + "learning_rate": 7.016225041712139e-06, + "loss": 0.8745, + "step": 13168 + }, + { + "epoch": 0.39, + "learning_rate": 7.015789660876373e-06, + "loss": 0.7883, + "step": 13169 + }, + { + "epoch": 0.39, + "learning_rate": 7.015354261789211e-06, + "loss": 0.7307, + "step": 13170 + }, + { + "epoch": 0.39, + "learning_rate": 7.014918844454598e-06, + "loss": 0.8875, + "step": 13171 + }, + { + "epoch": 0.39, + "learning_rate": 7.014483408876474e-06, + "loss": 0.649, + "step": 13172 + }, + { + "epoch": 0.39, + "learning_rate": 7.014047955058785e-06, + "loss": 0.7449, + "step": 13173 + }, + { + "epoch": 0.39, + "learning_rate": 7.013612483005469e-06, + "loss": 0.5347, + "step": 13174 + }, + { + "epoch": 0.39, + "learning_rate": 7.013176992720473e-06, + "loss": 0.9179, + "step": 13175 + }, + { + "epoch": 0.39, + "learning_rate": 7.012741484207738e-06, + "loss": 0.7528, + "step": 13176 + }, + { + "epoch": 0.39, + "learning_rate": 7.012305957471207e-06, + "loss": 0.8024, + "step": 13177 + }, + { + "epoch": 0.39, + "learning_rate": 7.011870412514825e-06, + "loss": 0.4669, + "step": 13178 + }, + { + "epoch": 0.39, + "learning_rate": 7.011434849342533e-06, + "loss": 0.8695, + "step": 13179 + }, + { + "epoch": 0.39, + "learning_rate": 7.0109992679582775e-06, + "loss": 0.5596, + "step": 13180 + }, + { + "epoch": 0.39, + "learning_rate": 7.010563668366001e-06, + "loss": 0.7753, + "step": 13181 + }, + { + "epoch": 0.39, + "learning_rate": 7.0101280505696465e-06, + "loss": 0.8326, + "step": 13182 + }, + { + "epoch": 0.39, + "learning_rate": 7.009692414573159e-06, + "loss": 0.6712, + "step": 13183 + }, + { + "epoch": 0.39, + "learning_rate": 7.009256760380484e-06, + "loss": 0.8887, + "step": 13184 + }, + { + "epoch": 0.39, + "learning_rate": 7.008821087995564e-06, + "loss": 0.9281, + "step": 13185 + }, + { + "epoch": 0.39, + "learning_rate": 7.008385397422346e-06, + "loss": 0.7945, + "step": 13186 + }, + { + "epoch": 0.39, + "learning_rate": 7.007949688664774e-06, + "loss": 0.6086, + "step": 13187 + }, + { + "epoch": 0.39, + "learning_rate": 7.007513961726791e-06, + "loss": 0.4753, + "step": 13188 + }, + { + "epoch": 0.39, + "learning_rate": 7.007078216612344e-06, + "loss": 0.7273, + "step": 13189 + }, + { + "epoch": 0.39, + "learning_rate": 7.006642453325379e-06, + "loss": 0.7132, + "step": 13190 + }, + { + "epoch": 0.39, + "learning_rate": 7.006206671869839e-06, + "loss": 0.7713, + "step": 13191 + }, + { + "epoch": 0.39, + "learning_rate": 7.005770872249673e-06, + "loss": 0.7578, + "step": 13192 + }, + { + "epoch": 0.39, + "learning_rate": 7.005335054468825e-06, + "loss": 0.6343, + "step": 13193 + }, + { + "epoch": 0.39, + "learning_rate": 7.004899218531238e-06, + "loss": 0.7008, + "step": 13194 + }, + { + "epoch": 0.39, + "learning_rate": 7.004463364440863e-06, + "loss": 0.8252, + "step": 13195 + }, + { + "epoch": 0.39, + "learning_rate": 7.004027492201646e-06, + "loss": 0.7879, + "step": 13196 + }, + { + "epoch": 0.39, + "learning_rate": 7.00359160181753e-06, + "loss": 0.6362, + "step": 13197 + }, + { + "epoch": 0.39, + "learning_rate": 7.003155693292465e-06, + "loss": 0.6498, + "step": 13198 + }, + { + "epoch": 0.39, + "learning_rate": 7.002719766630395e-06, + "loss": 0.6951, + "step": 13199 + }, + { + "epoch": 0.39, + "learning_rate": 7.002283821835269e-06, + "loss": 0.5436, + "step": 13200 + }, + { + "epoch": 0.39, + "learning_rate": 7.001847858911032e-06, + "loss": 1.0519, + "step": 13201 + }, + { + "epoch": 0.39, + "learning_rate": 7.001411877861636e-06, + "loss": 0.9715, + "step": 13202 + }, + { + "epoch": 0.39, + "learning_rate": 7.000975878691023e-06, + "loss": 0.7211, + "step": 13203 + }, + { + "epoch": 0.39, + "learning_rate": 7.000539861403143e-06, + "loss": 0.6394, + "step": 13204 + }, + { + "epoch": 0.39, + "learning_rate": 7.000103826001945e-06, + "loss": 0.7599, + "step": 13205 + }, + { + "epoch": 0.39, + "learning_rate": 6.9996677724913745e-06, + "loss": 1.1581, + "step": 13206 + }, + { + "epoch": 0.39, + "learning_rate": 6.9992317008753815e-06, + "loss": 0.763, + "step": 13207 + }, + { + "epoch": 0.39, + "learning_rate": 6.998795611157913e-06, + "loss": 0.9238, + "step": 13208 + }, + { + "epoch": 0.39, + "learning_rate": 6.998359503342919e-06, + "loss": 0.7402, + "step": 13209 + }, + { + "epoch": 0.39, + "learning_rate": 6.997923377434347e-06, + "loss": 0.5806, + "step": 13210 + }, + { + "epoch": 0.39, + "learning_rate": 6.997487233436146e-06, + "loss": 0.5972, + "step": 13211 + }, + { + "epoch": 0.39, + "learning_rate": 6.997051071352264e-06, + "loss": 0.4423, + "step": 13212 + }, + { + "epoch": 0.39, + "learning_rate": 6.9966148911866505e-06, + "loss": 0.6057, + "step": 13213 + }, + { + "epoch": 0.39, + "learning_rate": 6.996178692943255e-06, + "loss": 0.7297, + "step": 13214 + }, + { + "epoch": 0.39, + "learning_rate": 6.995742476626029e-06, + "loss": 0.8521, + "step": 13215 + }, + { + "epoch": 0.39, + "learning_rate": 6.995306242238919e-06, + "loss": 0.4338, + "step": 13216 + }, + { + "epoch": 0.39, + "learning_rate": 6.994869989785877e-06, + "loss": 0.5697, + "step": 13217 + }, + { + "epoch": 0.39, + "learning_rate": 6.994433719270851e-06, + "loss": 0.6332, + "step": 13218 + }, + { + "epoch": 0.39, + "learning_rate": 6.993997430697792e-06, + "loss": 0.9623, + "step": 13219 + }, + { + "epoch": 0.39, + "learning_rate": 6.993561124070651e-06, + "loss": 0.5278, + "step": 13220 + }, + { + "epoch": 0.39, + "learning_rate": 6.993124799393377e-06, + "loss": 0.821, + "step": 13221 + }, + { + "epoch": 0.39, + "learning_rate": 6.992688456669923e-06, + "loss": 0.7035, + "step": 13222 + }, + { + "epoch": 0.39, + "learning_rate": 6.992252095904236e-06, + "loss": 0.6525, + "step": 13223 + }, + { + "epoch": 0.39, + "learning_rate": 6.991815717100269e-06, + "loss": 0.8451, + "step": 13224 + }, + { + "epoch": 0.39, + "learning_rate": 6.991379320261974e-06, + "loss": 0.9463, + "step": 13225 + }, + { + "epoch": 0.39, + "learning_rate": 6.990942905393301e-06, + "loss": 0.5861, + "step": 13226 + }, + { + "epoch": 0.39, + "learning_rate": 6.990506472498202e-06, + "loss": 0.9875, + "step": 13227 + }, + { + "epoch": 0.39, + "learning_rate": 6.990070021580627e-06, + "loss": 0.8436, + "step": 13228 + }, + { + "epoch": 0.39, + "learning_rate": 6.98963355264453e-06, + "loss": 0.77, + "step": 13229 + }, + { + "epoch": 0.39, + "learning_rate": 6.989197065693861e-06, + "loss": 0.8398, + "step": 13230 + }, + { + "epoch": 0.39, + "learning_rate": 6.988760560732573e-06, + "loss": 0.5214, + "step": 13231 + }, + { + "epoch": 0.39, + "learning_rate": 6.98832403776462e-06, + "loss": 0.5042, + "step": 13232 + }, + { + "epoch": 0.39, + "learning_rate": 6.98788749679395e-06, + "loss": 0.8226, + "step": 13233 + }, + { + "epoch": 0.39, + "learning_rate": 6.987450937824518e-06, + "loss": 0.6985, + "step": 13234 + }, + { + "epoch": 0.39, + "learning_rate": 6.987014360860277e-06, + "loss": 0.9716, + "step": 13235 + }, + { + "epoch": 0.39, + "learning_rate": 6.98657776590518e-06, + "loss": 0.8011, + "step": 13236 + }, + { + "epoch": 0.39, + "learning_rate": 6.98614115296318e-06, + "loss": 0.7586, + "step": 13237 + }, + { + "epoch": 0.39, + "learning_rate": 6.985704522038229e-06, + "loss": 0.7768, + "step": 13238 + }, + { + "epoch": 0.39, + "learning_rate": 6.985267873134281e-06, + "loss": 0.7028, + "step": 13239 + }, + { + "epoch": 0.39, + "learning_rate": 6.984831206255289e-06, + "loss": 0.9003, + "step": 13240 + }, + { + "epoch": 0.39, + "learning_rate": 6.984394521405208e-06, + "loss": 0.9672, + "step": 13241 + }, + { + "epoch": 0.39, + "learning_rate": 6.983957818587992e-06, + "loss": 0.561, + "step": 13242 + }, + { + "epoch": 0.39, + "learning_rate": 6.983521097807592e-06, + "loss": 0.7898, + "step": 13243 + }, + { + "epoch": 0.39, + "learning_rate": 6.983084359067966e-06, + "loss": 0.6293, + "step": 13244 + }, + { + "epoch": 0.39, + "learning_rate": 6.982647602373065e-06, + "loss": 0.8814, + "step": 13245 + }, + { + "epoch": 0.39, + "learning_rate": 6.982210827726846e-06, + "loss": 0.7356, + "step": 13246 + }, + { + "epoch": 0.39, + "learning_rate": 6.981774035133264e-06, + "loss": 0.7383, + "step": 13247 + }, + { + "epoch": 0.39, + "learning_rate": 6.98133722459627e-06, + "loss": 0.6172, + "step": 13248 + }, + { + "epoch": 0.39, + "learning_rate": 6.980900396119823e-06, + "loss": 1.361, + "step": 13249 + }, + { + "epoch": 0.39, + "learning_rate": 6.980463549707877e-06, + "loss": 0.829, + "step": 13250 + }, + { + "epoch": 0.39, + "learning_rate": 6.980026685364387e-06, + "loss": 0.7821, + "step": 13251 + }, + { + "epoch": 0.39, + "learning_rate": 6.979589803093307e-06, + "loss": 1.1046, + "step": 13252 + }, + { + "epoch": 0.39, + "learning_rate": 6.979152902898596e-06, + "loss": 0.9262, + "step": 13253 + }, + { + "epoch": 0.39, + "learning_rate": 6.978715984784207e-06, + "loss": 0.9528, + "step": 13254 + }, + { + "epoch": 0.39, + "learning_rate": 6.978279048754097e-06, + "loss": 0.9577, + "step": 13255 + }, + { + "epoch": 0.39, + "learning_rate": 6.9778420948122215e-06, + "loss": 0.9486, + "step": 13256 + }, + { + "epoch": 0.39, + "learning_rate": 6.977405122962537e-06, + "loss": 0.5526, + "step": 13257 + }, + { + "epoch": 0.39, + "learning_rate": 6.976968133209e-06, + "loss": 0.8019, + "step": 13258 + }, + { + "epoch": 0.39, + "learning_rate": 6.976531125555568e-06, + "loss": 0.6885, + "step": 13259 + }, + { + "epoch": 0.39, + "learning_rate": 6.976094100006196e-06, + "loss": 0.8055, + "step": 13260 + }, + { + "epoch": 0.39, + "learning_rate": 6.975657056564844e-06, + "loss": 0.6736, + "step": 13261 + }, + { + "epoch": 0.39, + "learning_rate": 6.9752199952354645e-06, + "loss": 0.7732, + "step": 13262 + }, + { + "epoch": 0.39, + "learning_rate": 6.974782916022019e-06, + "loss": 0.719, + "step": 13263 + }, + { + "epoch": 0.39, + "learning_rate": 6.974345818928462e-06, + "loss": 0.539, + "step": 13264 + }, + { + "epoch": 0.39, + "learning_rate": 6.9739087039587525e-06, + "loss": 0.8501, + "step": 13265 + }, + { + "epoch": 0.39, + "learning_rate": 6.973471571116848e-06, + "loss": 0.7321, + "step": 13266 + }, + { + "epoch": 0.39, + "learning_rate": 6.973034420406707e-06, + "loss": 0.7251, + "step": 13267 + }, + { + "epoch": 0.39, + "learning_rate": 6.972597251832285e-06, + "loss": 0.9321, + "step": 13268 + }, + { + "epoch": 0.39, + "learning_rate": 6.972160065397544e-06, + "loss": 0.7527, + "step": 13269 + }, + { + "epoch": 0.39, + "learning_rate": 6.97172286110644e-06, + "loss": 0.6672, + "step": 13270 + }, + { + "epoch": 0.39, + "learning_rate": 6.971285638962933e-06, + "loss": 0.6851, + "step": 13271 + }, + { + "epoch": 0.39, + "learning_rate": 6.97084839897098e-06, + "loss": 0.7492, + "step": 13272 + }, + { + "epoch": 0.39, + "learning_rate": 6.97041114113454e-06, + "loss": 1.0784, + "step": 13273 + }, + { + "epoch": 0.39, + "learning_rate": 6.969973865457573e-06, + "loss": 0.6941, + "step": 13274 + }, + { + "epoch": 0.39, + "learning_rate": 6.969536571944037e-06, + "loss": 0.7059, + "step": 13275 + }, + { + "epoch": 0.39, + "learning_rate": 6.969099260597894e-06, + "loss": 0.7057, + "step": 13276 + }, + { + "epoch": 0.39, + "learning_rate": 6.9686619314231005e-06, + "loss": 0.6865, + "step": 13277 + }, + { + "epoch": 0.39, + "learning_rate": 6.968224584423617e-06, + "loss": 0.784, + "step": 13278 + }, + { + "epoch": 0.39, + "learning_rate": 6.967787219603405e-06, + "loss": 0.7492, + "step": 13279 + }, + { + "epoch": 0.39, + "learning_rate": 6.967349836966422e-06, + "loss": 0.6233, + "step": 13280 + }, + { + "epoch": 0.39, + "learning_rate": 6.966912436516631e-06, + "loss": 0.7016, + "step": 13281 + }, + { + "epoch": 0.39, + "learning_rate": 6.966475018257988e-06, + "loss": 0.4876, + "step": 13282 + }, + { + "epoch": 0.39, + "learning_rate": 6.9660375821944585e-06, + "loss": 0.7909, + "step": 13283 + }, + { + "epoch": 0.39, + "learning_rate": 6.965600128329999e-06, + "loss": 0.7144, + "step": 13284 + }, + { + "epoch": 0.39, + "learning_rate": 6.965162656668574e-06, + "loss": 0.6682, + "step": 13285 + }, + { + "epoch": 0.39, + "learning_rate": 6.964725167214142e-06, + "loss": 0.5891, + "step": 13286 + }, + { + "epoch": 0.39, + "learning_rate": 6.964287659970663e-06, + "loss": 0.733, + "step": 13287 + }, + { + "epoch": 0.39, + "learning_rate": 6.9638501349421015e-06, + "loss": 0.9799, + "step": 13288 + }, + { + "epoch": 0.39, + "learning_rate": 6.963412592132417e-06, + "loss": 0.7236, + "step": 13289 + }, + { + "epoch": 0.39, + "learning_rate": 6.962975031545571e-06, + "loss": 0.7923, + "step": 13290 + }, + { + "epoch": 0.39, + "learning_rate": 6.962537453185527e-06, + "loss": 0.6294, + "step": 13291 + }, + { + "epoch": 0.39, + "learning_rate": 6.962099857056246e-06, + "loss": 0.6963, + "step": 13292 + }, + { + "epoch": 0.39, + "learning_rate": 6.9616622431616886e-06, + "loss": 0.6112, + "step": 13293 + }, + { + "epoch": 0.39, + "learning_rate": 6.961224611505819e-06, + "loss": 0.8312, + "step": 13294 + }, + { + "epoch": 0.39, + "learning_rate": 6.960786962092598e-06, + "loss": 0.6534, + "step": 13295 + }, + { + "epoch": 0.39, + "learning_rate": 6.9603492949259895e-06, + "loss": 0.8643, + "step": 13296 + }, + { + "epoch": 0.39, + "learning_rate": 6.959911610009957e-06, + "loss": 0.7623, + "step": 13297 + }, + { + "epoch": 0.39, + "learning_rate": 6.9594739073484595e-06, + "loss": 0.8048, + "step": 13298 + }, + { + "epoch": 0.39, + "learning_rate": 6.9590361869454645e-06, + "loss": 0.6623, + "step": 13299 + }, + { + "epoch": 0.39, + "learning_rate": 6.958598448804934e-06, + "loss": 0.6352, + "step": 13300 + }, + { + "epoch": 0.39, + "learning_rate": 6.95816069293083e-06, + "loss": 0.6567, + "step": 13301 + }, + { + "epoch": 0.39, + "learning_rate": 6.957722919327117e-06, + "loss": 0.6256, + "step": 13302 + }, + { + "epoch": 0.39, + "learning_rate": 6.957285127997757e-06, + "loss": 0.6704, + "step": 13303 + }, + { + "epoch": 0.39, + "learning_rate": 6.956847318946717e-06, + "loss": 0.6099, + "step": 13304 + }, + { + "epoch": 0.39, + "learning_rate": 6.956409492177959e-06, + "loss": 0.6946, + "step": 13305 + }, + { + "epoch": 0.39, + "learning_rate": 6.955971647695447e-06, + "loss": 0.6005, + "step": 13306 + }, + { + "epoch": 0.39, + "learning_rate": 6.955533785503147e-06, + "loss": 0.6261, + "step": 13307 + }, + { + "epoch": 0.39, + "learning_rate": 6.955095905605022e-06, + "loss": 0.8256, + "step": 13308 + }, + { + "epoch": 0.39, + "learning_rate": 6.954658008005037e-06, + "loss": 0.7532, + "step": 13309 + }, + { + "epoch": 0.39, + "learning_rate": 6.954220092707157e-06, + "loss": 0.6615, + "step": 13310 + }, + { + "epoch": 0.39, + "learning_rate": 6.953782159715348e-06, + "loss": 1.094, + "step": 13311 + }, + { + "epoch": 0.39, + "learning_rate": 6.953344209033573e-06, + "loss": 0.6084, + "step": 13312 + }, + { + "epoch": 0.39, + "learning_rate": 6.952906240665797e-06, + "loss": 0.7984, + "step": 13313 + }, + { + "epoch": 0.39, + "learning_rate": 6.95246825461599e-06, + "loss": 0.7319, + "step": 13314 + }, + { + "epoch": 0.39, + "learning_rate": 6.952030250888111e-06, + "loss": 0.7581, + "step": 13315 + }, + { + "epoch": 0.39, + "learning_rate": 6.951592229486132e-06, + "loss": 0.749, + "step": 13316 + }, + { + "epoch": 0.39, + "learning_rate": 6.951154190414013e-06, + "loss": 0.8132, + "step": 13317 + }, + { + "epoch": 0.39, + "learning_rate": 6.950716133675726e-06, + "loss": 0.7135, + "step": 13318 + }, + { + "epoch": 0.39, + "learning_rate": 6.950278059275233e-06, + "loss": 0.5059, + "step": 13319 + }, + { + "epoch": 0.39, + "learning_rate": 6.949839967216503e-06, + "loss": 0.971, + "step": 13320 + }, + { + "epoch": 0.39, + "learning_rate": 6.9494018575035e-06, + "loss": 0.5471, + "step": 13321 + }, + { + "epoch": 0.39, + "learning_rate": 6.948963730140193e-06, + "loss": 0.7253, + "step": 13322 + }, + { + "epoch": 0.39, + "learning_rate": 6.948525585130548e-06, + "loss": 0.5986, + "step": 13323 + }, + { + "epoch": 0.39, + "learning_rate": 6.948087422478533e-06, + "loss": 0.7693, + "step": 13324 + }, + { + "epoch": 0.39, + "learning_rate": 6.947649242188114e-06, + "loss": 0.6888, + "step": 13325 + }, + { + "epoch": 0.39, + "learning_rate": 6.947211044263259e-06, + "loss": 0.8274, + "step": 13326 + }, + { + "epoch": 0.39, + "learning_rate": 6.946772828707934e-06, + "loss": 0.7791, + "step": 13327 + }, + { + "epoch": 0.39, + "learning_rate": 6.946334595526108e-06, + "loss": 0.7741, + "step": 13328 + }, + { + "epoch": 0.39, + "learning_rate": 6.945896344721751e-06, + "loss": 1.0321, + "step": 13329 + }, + { + "epoch": 0.39, + "learning_rate": 6.945458076298828e-06, + "loss": 0.4342, + "step": 13330 + }, + { + "epoch": 0.39, + "learning_rate": 6.945019790261308e-06, + "loss": 0.6547, + "step": 13331 + }, + { + "epoch": 0.39, + "learning_rate": 6.944581486613159e-06, + "loss": 0.7027, + "step": 13332 + }, + { + "epoch": 0.39, + "learning_rate": 6.94414316535835e-06, + "loss": 0.6605, + "step": 13333 + }, + { + "epoch": 0.39, + "learning_rate": 6.94370482650085e-06, + "loss": 0.4895, + "step": 13334 + }, + { + "epoch": 0.39, + "learning_rate": 6.943266470044627e-06, + "loss": 0.7337, + "step": 13335 + }, + { + "epoch": 0.39, + "learning_rate": 6.942828095993651e-06, + "loss": 0.6981, + "step": 13336 + }, + { + "epoch": 0.39, + "learning_rate": 6.9423897043518886e-06, + "loss": 0.7609, + "step": 13337 + }, + { + "epoch": 0.39, + "learning_rate": 6.9419512951233126e-06, + "loss": 0.8124, + "step": 13338 + }, + { + "epoch": 0.39, + "learning_rate": 6.94151286831189e-06, + "loss": 0.8787, + "step": 13339 + }, + { + "epoch": 0.39, + "learning_rate": 6.941074423921592e-06, + "loss": 0.7778, + "step": 13340 + }, + { + "epoch": 0.39, + "learning_rate": 6.940635961956388e-06, + "loss": 0.8522, + "step": 13341 + }, + { + "epoch": 0.39, + "learning_rate": 6.940197482420245e-06, + "loss": 0.6367, + "step": 13342 + }, + { + "epoch": 0.39, + "learning_rate": 6.939758985317139e-06, + "loss": 0.777, + "step": 13343 + }, + { + "epoch": 0.39, + "learning_rate": 6.939320470651035e-06, + "loss": 0.5928, + "step": 13344 + }, + { + "epoch": 0.39, + "learning_rate": 6.938881938425907e-06, + "loss": 0.6143, + "step": 13345 + }, + { + "epoch": 0.39, + "learning_rate": 6.938443388645722e-06, + "loss": 0.8828, + "step": 13346 + }, + { + "epoch": 0.39, + "learning_rate": 6.9380048213144524e-06, + "loss": 0.5896, + "step": 13347 + }, + { + "epoch": 0.39, + "learning_rate": 6.93756623643607e-06, + "loss": 0.8194, + "step": 13348 + }, + { + "epoch": 0.39, + "learning_rate": 6.9371276340145445e-06, + "loss": 0.7421, + "step": 13349 + }, + { + "epoch": 0.39, + "learning_rate": 6.936689014053849e-06, + "loss": 0.909, + "step": 13350 + }, + { + "epoch": 0.39, + "learning_rate": 6.936250376557953e-06, + "loss": 0.7546, + "step": 13351 + }, + { + "epoch": 0.39, + "learning_rate": 6.935811721530827e-06, + "loss": 0.7032, + "step": 13352 + }, + { + "epoch": 0.39, + "learning_rate": 6.935373048976447e-06, + "loss": 0.6466, + "step": 13353 + }, + { + "epoch": 0.39, + "learning_rate": 6.9349343588987805e-06, + "loss": 0.5883, + "step": 13354 + }, + { + "epoch": 0.39, + "learning_rate": 6.934495651301801e-06, + "loss": 0.6775, + "step": 13355 + }, + { + "epoch": 0.39, + "learning_rate": 6.934056926189482e-06, + "loss": 0.7961, + "step": 13356 + }, + { + "epoch": 0.39, + "learning_rate": 6.933618183565792e-06, + "loss": 0.9116, + "step": 13357 + }, + { + "epoch": 0.39, + "learning_rate": 6.933179423434709e-06, + "loss": 0.5991, + "step": 13358 + }, + { + "epoch": 0.39, + "learning_rate": 6.9327406458002e-06, + "loss": 0.5646, + "step": 13359 + }, + { + "epoch": 0.39, + "learning_rate": 6.9323018506662425e-06, + "loss": 0.8743, + "step": 13360 + }, + { + "epoch": 0.39, + "learning_rate": 6.931863038036806e-06, + "loss": 0.7191, + "step": 13361 + }, + { + "epoch": 0.39, + "learning_rate": 6.931424207915864e-06, + "loss": 0.7579, + "step": 13362 + }, + { + "epoch": 0.39, + "learning_rate": 6.930985360307393e-06, + "loss": 0.8302, + "step": 13363 + }, + { + "epoch": 0.39, + "learning_rate": 6.930546495215363e-06, + "loss": 1.1854, + "step": 13364 + }, + { + "epoch": 0.39, + "learning_rate": 6.930107612643749e-06, + "loss": 0.8343, + "step": 13365 + }, + { + "epoch": 0.39, + "learning_rate": 6.929668712596525e-06, + "loss": 0.5869, + "step": 13366 + }, + { + "epoch": 0.39, + "learning_rate": 6.929229795077663e-06, + "loss": 0.9977, + "step": 13367 + }, + { + "epoch": 0.39, + "learning_rate": 6.92879086009114e-06, + "loss": 0.8209, + "step": 13368 + }, + { + "epoch": 0.39, + "learning_rate": 6.928351907640929e-06, + "loss": 0.7801, + "step": 13369 + }, + { + "epoch": 0.39, + "learning_rate": 6.927912937731003e-06, + "loss": 0.8178, + "step": 13370 + }, + { + "epoch": 0.39, + "learning_rate": 6.927473950365338e-06, + "loss": 0.7088, + "step": 13371 + }, + { + "epoch": 0.39, + "learning_rate": 6.927034945547907e-06, + "loss": 0.9192, + "step": 13372 + }, + { + "epoch": 0.39, + "learning_rate": 6.9265959232826875e-06, + "loss": 0.8877, + "step": 13373 + }, + { + "epoch": 0.39, + "learning_rate": 6.9261568835736525e-06, + "loss": 0.6509, + "step": 13374 + }, + { + "epoch": 0.39, + "learning_rate": 6.925717826424778e-06, + "loss": 0.8606, + "step": 13375 + }, + { + "epoch": 0.39, + "learning_rate": 6.925278751840037e-06, + "loss": 0.7256, + "step": 13376 + }, + { + "epoch": 0.39, + "learning_rate": 6.924839659823409e-06, + "loss": 0.6537, + "step": 13377 + }, + { + "epoch": 0.39, + "learning_rate": 6.924400550378868e-06, + "loss": 0.7418, + "step": 13378 + }, + { + "epoch": 0.39, + "learning_rate": 6.9239614235103895e-06, + "loss": 0.8873, + "step": 13379 + }, + { + "epoch": 0.39, + "learning_rate": 6.923522279221948e-06, + "loss": 0.8397, + "step": 13380 + }, + { + "epoch": 0.39, + "learning_rate": 6.923083117517521e-06, + "loss": 0.5943, + "step": 13381 + }, + { + "epoch": 0.39, + "learning_rate": 6.922643938401086e-06, + "loss": 0.5508, + "step": 13382 + }, + { + "epoch": 0.39, + "learning_rate": 6.922204741876618e-06, + "loss": 0.7998, + "step": 13383 + }, + { + "epoch": 0.39, + "learning_rate": 6.921765527948094e-06, + "loss": 0.6878, + "step": 13384 + }, + { + "epoch": 0.39, + "learning_rate": 6.921326296619491e-06, + "loss": 0.615, + "step": 13385 + }, + { + "epoch": 0.39, + "learning_rate": 6.920887047894782e-06, + "loss": 0.743, + "step": 13386 + }, + { + "epoch": 0.39, + "learning_rate": 6.92044778177795e-06, + "loss": 0.7297, + "step": 13387 + }, + { + "epoch": 0.39, + "learning_rate": 6.92000849827297e-06, + "loss": 0.7331, + "step": 13388 + }, + { + "epoch": 0.39, + "learning_rate": 6.91956919738382e-06, + "loss": 0.8392, + "step": 13389 + }, + { + "epoch": 0.39, + "learning_rate": 6.919129879114475e-06, + "loss": 0.9486, + "step": 13390 + }, + { + "epoch": 0.39, + "learning_rate": 6.9186905434689145e-06, + "loss": 0.7806, + "step": 13391 + }, + { + "epoch": 0.39, + "learning_rate": 6.918251190451115e-06, + "loss": 0.9068, + "step": 13392 + }, + { + "epoch": 0.39, + "learning_rate": 6.917811820065058e-06, + "loss": 0.7849, + "step": 13393 + }, + { + "epoch": 0.39, + "learning_rate": 6.917372432314718e-06, + "loss": 0.6991, + "step": 13394 + }, + { + "epoch": 0.39, + "learning_rate": 6.916933027204073e-06, + "loss": 0.5017, + "step": 13395 + }, + { + "epoch": 0.39, + "learning_rate": 6.916493604737105e-06, + "loss": 0.5385, + "step": 13396 + }, + { + "epoch": 0.39, + "learning_rate": 6.916054164917791e-06, + "loss": 0.8291, + "step": 13397 + }, + { + "epoch": 0.39, + "learning_rate": 6.915614707750108e-06, + "loss": 0.8116, + "step": 13398 + }, + { + "epoch": 0.39, + "learning_rate": 6.915175233238036e-06, + "loss": 0.8449, + "step": 13399 + }, + { + "epoch": 0.39, + "learning_rate": 6.914735741385557e-06, + "loss": 0.9063, + "step": 13400 + }, + { + "epoch": 0.39, + "learning_rate": 6.9142962321966445e-06, + "loss": 0.9087, + "step": 13401 + }, + { + "epoch": 0.39, + "learning_rate": 6.9138567056752826e-06, + "loss": 0.8766, + "step": 13402 + }, + { + "epoch": 0.39, + "learning_rate": 6.913417161825449e-06, + "loss": 0.8083, + "step": 13403 + }, + { + "epoch": 0.39, + "learning_rate": 6.912977600651125e-06, + "loss": 0.6467, + "step": 13404 + }, + { + "epoch": 0.39, + "learning_rate": 6.912538022156289e-06, + "loss": 0.6619, + "step": 13405 + }, + { + "epoch": 0.39, + "learning_rate": 6.91209842634492e-06, + "loss": 1.1066, + "step": 13406 + }, + { + "epoch": 0.39, + "learning_rate": 6.911658813221001e-06, + "loss": 0.7242, + "step": 13407 + }, + { + "epoch": 0.39, + "learning_rate": 6.91121918278851e-06, + "loss": 0.6753, + "step": 13408 + }, + { + "epoch": 0.39, + "learning_rate": 6.910779535051428e-06, + "loss": 0.668, + "step": 13409 + }, + { + "epoch": 0.39, + "learning_rate": 6.910339870013738e-06, + "loss": 0.7215, + "step": 13410 + }, + { + "epoch": 0.39, + "learning_rate": 6.909900187679417e-06, + "loss": 0.7642, + "step": 13411 + }, + { + "epoch": 0.39, + "learning_rate": 6.909460488052449e-06, + "loss": 0.7487, + "step": 13412 + }, + { + "epoch": 0.39, + "learning_rate": 6.909020771136813e-06, + "loss": 0.9143, + "step": 13413 + }, + { + "epoch": 0.39, + "learning_rate": 6.908581036936493e-06, + "loss": 0.6658, + "step": 13414 + }, + { + "epoch": 0.39, + "learning_rate": 6.908141285455467e-06, + "loss": 0.6225, + "step": 13415 + }, + { + "epoch": 0.39, + "learning_rate": 6.907701516697719e-06, + "loss": 0.7195, + "step": 13416 + }, + { + "epoch": 0.39, + "learning_rate": 6.9072617306672305e-06, + "loss": 0.6166, + "step": 13417 + }, + { + "epoch": 0.39, + "learning_rate": 6.9068219273679826e-06, + "loss": 0.6718, + "step": 13418 + }, + { + "epoch": 0.39, + "learning_rate": 6.9063821068039585e-06, + "loss": 0.7762, + "step": 13419 + }, + { + "epoch": 0.39, + "learning_rate": 6.9059422689791386e-06, + "loss": 0.7936, + "step": 13420 + }, + { + "epoch": 0.39, + "learning_rate": 6.9055024138975055e-06, + "loss": 0.7587, + "step": 13421 + }, + { + "epoch": 0.39, + "learning_rate": 6.9050625415630445e-06, + "loss": 0.743, + "step": 13422 + }, + { + "epoch": 0.39, + "learning_rate": 6.904622651979735e-06, + "loss": 0.6287, + "step": 13423 + }, + { + "epoch": 0.39, + "learning_rate": 6.904182745151563e-06, + "loss": 0.7913, + "step": 13424 + }, + { + "epoch": 0.39, + "learning_rate": 6.903742821082509e-06, + "loss": 0.6121, + "step": 13425 + }, + { + "epoch": 0.39, + "learning_rate": 6.903302879776557e-06, + "loss": 0.9146, + "step": 13426 + }, + { + "epoch": 0.39, + "learning_rate": 6.902862921237689e-06, + "loss": 0.8493, + "step": 13427 + }, + { + "epoch": 0.39, + "learning_rate": 6.902422945469893e-06, + "loss": 0.8083, + "step": 13428 + }, + { + "epoch": 0.39, + "learning_rate": 6.901982952477147e-06, + "loss": 0.8236, + "step": 13429 + }, + { + "epoch": 0.39, + "learning_rate": 6.901542942263438e-06, + "loss": 0.6923, + "step": 13430 + }, + { + "epoch": 0.39, + "learning_rate": 6.901102914832748e-06, + "loss": 0.685, + "step": 13431 + }, + { + "epoch": 0.39, + "learning_rate": 6.900662870189063e-06, + "loss": 0.9549, + "step": 13432 + }, + { + "epoch": 0.39, + "learning_rate": 6.900222808336368e-06, + "loss": 0.7083, + "step": 13433 + }, + { + "epoch": 0.39, + "learning_rate": 6.899782729278645e-06, + "loss": 0.8558, + "step": 13434 + }, + { + "epoch": 0.39, + "learning_rate": 6.899342633019879e-06, + "loss": 0.6865, + "step": 13435 + }, + { + "epoch": 0.39, + "learning_rate": 6.898902519564056e-06, + "loss": 0.7893, + "step": 13436 + }, + { + "epoch": 0.39, + "learning_rate": 6.898462388915159e-06, + "loss": 0.6139, + "step": 13437 + }, + { + "epoch": 0.39, + "learning_rate": 6.898022241077176e-06, + "loss": 0.9112, + "step": 13438 + }, + { + "epoch": 0.39, + "learning_rate": 6.897582076054088e-06, + "loss": 0.9633, + "step": 13439 + }, + { + "epoch": 0.39, + "learning_rate": 6.897141893849884e-06, + "loss": 0.5747, + "step": 13440 + }, + { + "epoch": 0.39, + "learning_rate": 6.896701694468547e-06, + "loss": 0.6868, + "step": 13441 + }, + { + "epoch": 0.39, + "learning_rate": 6.896261477914066e-06, + "loss": 0.8269, + "step": 13442 + }, + { + "epoch": 0.39, + "learning_rate": 6.895821244190424e-06, + "loss": 0.9475, + "step": 13443 + }, + { + "epoch": 0.39, + "learning_rate": 6.895380993301606e-06, + "loss": 0.8928, + "step": 13444 + }, + { + "epoch": 0.39, + "learning_rate": 6.894940725251601e-06, + "loss": 0.67, + "step": 13445 + }, + { + "epoch": 0.4, + "learning_rate": 6.8945004400443935e-06, + "loss": 0.8947, + "step": 13446 + }, + { + "epoch": 0.4, + "learning_rate": 6.894060137683971e-06, + "loss": 0.6484, + "step": 13447 + }, + { + "epoch": 0.4, + "learning_rate": 6.8936198181743194e-06, + "loss": 0.8312, + "step": 13448 + }, + { + "epoch": 0.4, + "learning_rate": 6.893179481519428e-06, + "loss": 0.7834, + "step": 13449 + }, + { + "epoch": 0.4, + "learning_rate": 6.892739127723277e-06, + "loss": 1.0107, + "step": 13450 + }, + { + "epoch": 0.4, + "learning_rate": 6.89229875678986e-06, + "loss": 0.7487, + "step": 13451 + }, + { + "epoch": 0.4, + "learning_rate": 6.8918583687231635e-06, + "loss": 0.7165, + "step": 13452 + }, + { + "epoch": 0.4, + "learning_rate": 6.891417963527172e-06, + "loss": 0.7216, + "step": 13453 + }, + { + "epoch": 0.4, + "learning_rate": 6.890977541205873e-06, + "loss": 0.7117, + "step": 13454 + }, + { + "epoch": 0.4, + "learning_rate": 6.890537101763257e-06, + "loss": 0.7647, + "step": 13455 + }, + { + "epoch": 0.4, + "learning_rate": 6.8900966452033115e-06, + "loss": 0.5174, + "step": 13456 + }, + { + "epoch": 0.4, + "learning_rate": 6.889656171530021e-06, + "loss": 0.6633, + "step": 13457 + }, + { + "epoch": 0.4, + "learning_rate": 6.889215680747379e-06, + "loss": 0.6746, + "step": 13458 + }, + { + "epoch": 0.4, + "learning_rate": 6.8887751728593684e-06, + "loss": 0.7637, + "step": 13459 + }, + { + "epoch": 0.4, + "learning_rate": 6.8883346478699805e-06, + "loss": 0.7107, + "step": 13460 + }, + { + "epoch": 0.4, + "learning_rate": 6.887894105783204e-06, + "loss": 0.7223, + "step": 13461 + }, + { + "epoch": 0.4, + "learning_rate": 6.887453546603027e-06, + "loss": 0.8727, + "step": 13462 + }, + { + "epoch": 0.4, + "learning_rate": 6.8870129703334385e-06, + "loss": 0.692, + "step": 13463 + }, + { + "epoch": 0.4, + "learning_rate": 6.886572376978429e-06, + "loss": 0.4953, + "step": 13464 + }, + { + "epoch": 0.4, + "learning_rate": 6.886131766541984e-06, + "loss": 0.6933, + "step": 13465 + }, + { + "epoch": 0.4, + "learning_rate": 6.885691139028097e-06, + "loss": 0.7394, + "step": 13466 + }, + { + "epoch": 0.4, + "learning_rate": 6.885250494440754e-06, + "loss": 0.8202, + "step": 13467 + }, + { + "epoch": 0.4, + "learning_rate": 6.884809832783948e-06, + "loss": 0.6908, + "step": 13468 + }, + { + "epoch": 0.4, + "learning_rate": 6.884369154061668e-06, + "loss": 0.6003, + "step": 13469 + }, + { + "epoch": 0.4, + "learning_rate": 6.883928458277901e-06, + "loss": 0.9207, + "step": 13470 + }, + { + "epoch": 0.4, + "learning_rate": 6.883487745436641e-06, + "loss": 0.778, + "step": 13471 + }, + { + "epoch": 0.4, + "learning_rate": 6.8830470155418774e-06, + "loss": 0.8995, + "step": 13472 + }, + { + "epoch": 0.4, + "learning_rate": 6.882606268597599e-06, + "loss": 0.9767, + "step": 13473 + }, + { + "epoch": 0.4, + "learning_rate": 6.882165504607799e-06, + "loss": 0.5526, + "step": 13474 + }, + { + "epoch": 0.4, + "learning_rate": 6.881724723576465e-06, + "loss": 0.865, + "step": 13475 + }, + { + "epoch": 0.4, + "learning_rate": 6.881283925507592e-06, + "loss": 0.5193, + "step": 13476 + }, + { + "epoch": 0.4, + "learning_rate": 6.880843110405166e-06, + "loss": 0.7235, + "step": 13477 + }, + { + "epoch": 0.4, + "learning_rate": 6.880402278273182e-06, + "loss": 0.7195, + "step": 13478 + }, + { + "epoch": 0.4, + "learning_rate": 6.87996142911563e-06, + "loss": 0.8294, + "step": 13479 + }, + { + "epoch": 0.4, + "learning_rate": 6.8795205629365014e-06, + "loss": 0.6713, + "step": 13480 + }, + { + "epoch": 0.4, + "learning_rate": 6.879079679739789e-06, + "loss": 0.7073, + "step": 13481 + }, + { + "epoch": 0.4, + "learning_rate": 6.878638779529483e-06, + "loss": 0.6325, + "step": 13482 + }, + { + "epoch": 0.4, + "learning_rate": 6.8781978623095776e-06, + "loss": 0.8824, + "step": 13483 + }, + { + "epoch": 0.4, + "learning_rate": 6.877756928084064e-06, + "loss": 0.7096, + "step": 13484 + }, + { + "epoch": 0.4, + "learning_rate": 6.877315976856933e-06, + "loss": 0.8429, + "step": 13485 + }, + { + "epoch": 0.4, + "learning_rate": 6.876875008632179e-06, + "loss": 0.883, + "step": 13486 + }, + { + "epoch": 0.4, + "learning_rate": 6.876434023413794e-06, + "loss": 0.3075, + "step": 13487 + }, + { + "epoch": 0.4, + "learning_rate": 6.875993021205771e-06, + "loss": 0.8266, + "step": 13488 + }, + { + "epoch": 0.4, + "learning_rate": 6.8755520020121024e-06, + "loss": 1.0004, + "step": 13489 + }, + { + "epoch": 0.4, + "learning_rate": 6.87511096583678e-06, + "loss": 0.7675, + "step": 13490 + }, + { + "epoch": 0.4, + "learning_rate": 6.8746699126838e-06, + "loss": 0.8348, + "step": 13491 + }, + { + "epoch": 0.4, + "learning_rate": 6.874228842557156e-06, + "loss": 0.7475, + "step": 13492 + }, + { + "epoch": 0.4, + "learning_rate": 6.8737877554608375e-06, + "loss": 0.6926, + "step": 13493 + }, + { + "epoch": 0.4, + "learning_rate": 6.873346651398842e-06, + "loss": 1.1497, + "step": 13494 + }, + { + "epoch": 0.4, + "learning_rate": 6.872905530375161e-06, + "loss": 0.851, + "step": 13495 + }, + { + "epoch": 0.4, + "learning_rate": 6.872464392393791e-06, + "loss": 0.6369, + "step": 13496 + }, + { + "epoch": 0.4, + "learning_rate": 6.8720232374587225e-06, + "loss": 0.7314, + "step": 13497 + }, + { + "epoch": 0.4, + "learning_rate": 6.871582065573954e-06, + "loss": 0.7614, + "step": 13498 + }, + { + "epoch": 0.4, + "learning_rate": 6.871140876743476e-06, + "loss": 0.7633, + "step": 13499 + }, + { + "epoch": 0.4, + "learning_rate": 6.870699670971286e-06, + "loss": 0.8555, + "step": 13500 + }, + { + "epoch": 0.4, + "learning_rate": 6.8702584482613776e-06, + "loss": 0.6263, + "step": 13501 + }, + { + "epoch": 0.4, + "learning_rate": 6.869817208617746e-06, + "loss": 0.9364, + "step": 13502 + }, + { + "epoch": 0.4, + "learning_rate": 6.869375952044386e-06, + "loss": 0.7333, + "step": 13503 + }, + { + "epoch": 0.4, + "learning_rate": 6.868934678545293e-06, + "loss": 0.5929, + "step": 13504 + }, + { + "epoch": 0.4, + "learning_rate": 6.868493388124462e-06, + "loss": 0.6077, + "step": 13505 + }, + { + "epoch": 0.4, + "learning_rate": 6.86805208078589e-06, + "loss": 0.5754, + "step": 13506 + }, + { + "epoch": 0.4, + "learning_rate": 6.867610756533571e-06, + "loss": 0.7975, + "step": 13507 + }, + { + "epoch": 0.4, + "learning_rate": 6.867169415371502e-06, + "loss": 0.8162, + "step": 13508 + }, + { + "epoch": 0.4, + "learning_rate": 6.866728057303678e-06, + "loss": 0.8511, + "step": 13509 + }, + { + "epoch": 0.4, + "learning_rate": 6.866286682334096e-06, + "loss": 0.9132, + "step": 13510 + }, + { + "epoch": 0.4, + "learning_rate": 6.865845290466752e-06, + "loss": 0.7575, + "step": 13511 + }, + { + "epoch": 0.4, + "learning_rate": 6.865403881705642e-06, + "loss": 0.7282, + "step": 13512 + }, + { + "epoch": 0.4, + "learning_rate": 6.864962456054764e-06, + "loss": 0.615, + "step": 13513 + }, + { + "epoch": 0.4, + "learning_rate": 6.864521013518113e-06, + "loss": 0.88, + "step": 13514 + }, + { + "epoch": 0.4, + "learning_rate": 6.864079554099687e-06, + "loss": 0.6432, + "step": 13515 + }, + { + "epoch": 0.4, + "learning_rate": 6.8636380778034825e-06, + "loss": 0.8119, + "step": 13516 + }, + { + "epoch": 0.4, + "learning_rate": 6.863196584633497e-06, + "loss": 0.6203, + "step": 13517 + }, + { + "epoch": 0.4, + "learning_rate": 6.862755074593728e-06, + "loss": 0.5537, + "step": 13518 + }, + { + "epoch": 0.4, + "learning_rate": 6.862313547688171e-06, + "loss": 0.5874, + "step": 13519 + }, + { + "epoch": 0.4, + "learning_rate": 6.861872003920828e-06, + "loss": 0.8238, + "step": 13520 + }, + { + "epoch": 0.4, + "learning_rate": 6.861430443295694e-06, + "loss": 0.4031, + "step": 13521 + }, + { + "epoch": 0.4, + "learning_rate": 6.8609888658167665e-06, + "loss": 0.7394, + "step": 13522 + }, + { + "epoch": 0.4, + "learning_rate": 6.860547271488045e-06, + "loss": 0.8399, + "step": 13523 + }, + { + "epoch": 0.4, + "learning_rate": 6.860105660313527e-06, + "loss": 0.6333, + "step": 13524 + }, + { + "epoch": 0.4, + "learning_rate": 6.859664032297212e-06, + "loss": 0.7563, + "step": 13525 + }, + { + "epoch": 0.4, + "learning_rate": 6.859222387443098e-06, + "loss": 0.6389, + "step": 13526 + }, + { + "epoch": 0.4, + "learning_rate": 6.858780725755183e-06, + "loss": 0.6601, + "step": 13527 + }, + { + "epoch": 0.4, + "learning_rate": 6.858339047237466e-06, + "loss": 0.6858, + "step": 13528 + }, + { + "epoch": 0.4, + "learning_rate": 6.857897351893946e-06, + "loss": 0.6861, + "step": 13529 + }, + { + "epoch": 0.4, + "learning_rate": 6.857455639728624e-06, + "loss": 0.572, + "step": 13530 + }, + { + "epoch": 0.4, + "learning_rate": 6.857013910745498e-06, + "loss": 0.7065, + "step": 13531 + }, + { + "epoch": 0.4, + "learning_rate": 6.8565721649485684e-06, + "loss": 0.7014, + "step": 13532 + }, + { + "epoch": 0.4, + "learning_rate": 6.856130402341833e-06, + "loss": 0.6814, + "step": 13533 + }, + { + "epoch": 0.4, + "learning_rate": 6.855688622929293e-06, + "loss": 0.7452, + "step": 13534 + }, + { + "epoch": 0.4, + "learning_rate": 6.855246826714949e-06, + "loss": 0.7241, + "step": 13535 + }, + { + "epoch": 0.4, + "learning_rate": 6.854805013702799e-06, + "loss": 0.818, + "step": 13536 + }, + { + "epoch": 0.4, + "learning_rate": 6.8543631838968435e-06, + "loss": 0.6683, + "step": 13537 + }, + { + "epoch": 0.4, + "learning_rate": 6.853921337301086e-06, + "loss": 0.7036, + "step": 13538 + }, + { + "epoch": 0.4, + "learning_rate": 6.853479473919523e-06, + "loss": 0.8095, + "step": 13539 + }, + { + "epoch": 0.4, + "learning_rate": 6.853037593756159e-06, + "loss": 0.7847, + "step": 13540 + }, + { + "epoch": 0.4, + "learning_rate": 6.852595696814992e-06, + "loss": 0.7175, + "step": 13541 + }, + { + "epoch": 0.4, + "learning_rate": 6.852153783100024e-06, + "loss": 0.8151, + "step": 13542 + }, + { + "epoch": 0.4, + "learning_rate": 6.851711852615257e-06, + "loss": 0.6918, + "step": 13543 + }, + { + "epoch": 0.4, + "learning_rate": 6.85126990536469e-06, + "loss": 0.6323, + "step": 13544 + }, + { + "epoch": 0.4, + "learning_rate": 6.850827941352327e-06, + "loss": 1.0013, + "step": 13545 + }, + { + "epoch": 0.4, + "learning_rate": 6.8503859605821695e-06, + "loss": 0.7505, + "step": 13546 + }, + { + "epoch": 0.4, + "learning_rate": 6.849943963058219e-06, + "loss": 0.7229, + "step": 13547 + }, + { + "epoch": 0.4, + "learning_rate": 6.849501948784475e-06, + "loss": 0.784, + "step": 13548 + }, + { + "epoch": 0.4, + "learning_rate": 6.849059917764942e-06, + "loss": 0.5482, + "step": 13549 + }, + { + "epoch": 0.4, + "learning_rate": 6.848617870003622e-06, + "loss": 0.7989, + "step": 13550 + }, + { + "epoch": 0.4, + "learning_rate": 6.8481758055045175e-06, + "loss": 0.5414, + "step": 13551 + }, + { + "epoch": 0.4, + "learning_rate": 6.84773372427163e-06, + "loss": 0.7281, + "step": 13552 + }, + { + "epoch": 0.4, + "learning_rate": 6.847291626308965e-06, + "loss": 0.8141, + "step": 13553 + }, + { + "epoch": 0.4, + "learning_rate": 6.846849511620521e-06, + "loss": 0.7928, + "step": 13554 + }, + { + "epoch": 0.4, + "learning_rate": 6.846407380210305e-06, + "loss": 0.8877, + "step": 13555 + }, + { + "epoch": 0.4, + "learning_rate": 6.8459652320823175e-06, + "loss": 0.6915, + "step": 13556 + }, + { + "epoch": 0.4, + "learning_rate": 6.845523067240562e-06, + "loss": 0.6466, + "step": 13557 + }, + { + "epoch": 0.4, + "learning_rate": 6.8450808856890434e-06, + "loss": 1.057, + "step": 13558 + }, + { + "epoch": 0.4, + "learning_rate": 6.844638687431765e-06, + "loss": 0.5533, + "step": 13559 + }, + { + "epoch": 0.4, + "learning_rate": 6.8441964724727295e-06, + "loss": 0.7232, + "step": 13560 + }, + { + "epoch": 0.4, + "learning_rate": 6.843754240815942e-06, + "loss": 0.689, + "step": 13561 + }, + { + "epoch": 0.4, + "learning_rate": 6.843311992465407e-06, + "loss": 0.7629, + "step": 13562 + }, + { + "epoch": 0.4, + "learning_rate": 6.842869727425125e-06, + "loss": 0.9367, + "step": 13563 + }, + { + "epoch": 0.4, + "learning_rate": 6.842427445699105e-06, + "loss": 0.7534, + "step": 13564 + }, + { + "epoch": 0.4, + "learning_rate": 6.841985147291349e-06, + "loss": 0.6373, + "step": 13565 + }, + { + "epoch": 0.4, + "learning_rate": 6.841542832205863e-06, + "loss": 0.7323, + "step": 13566 + }, + { + "epoch": 0.4, + "learning_rate": 6.841100500446652e-06, + "loss": 0.6362, + "step": 13567 + }, + { + "epoch": 0.4, + "learning_rate": 6.840658152017716e-06, + "loss": 0.7075, + "step": 13568 + }, + { + "epoch": 0.4, + "learning_rate": 6.840215786923068e-06, + "loss": 0.9913, + "step": 13569 + }, + { + "epoch": 0.4, + "learning_rate": 6.839773405166707e-06, + "loss": 0.338, + "step": 13570 + }, + { + "epoch": 0.4, + "learning_rate": 6.839331006752643e-06, + "loss": 0.8985, + "step": 13571 + }, + { + "epoch": 0.4, + "learning_rate": 6.838888591684879e-06, + "loss": 0.592, + "step": 13572 + }, + { + "epoch": 0.4, + "learning_rate": 6.83844615996742e-06, + "loss": 0.7044, + "step": 13573 + }, + { + "epoch": 0.4, + "learning_rate": 6.838003711604274e-06, + "loss": 0.9252, + "step": 13574 + }, + { + "epoch": 0.4, + "learning_rate": 6.837561246599447e-06, + "loss": 0.6291, + "step": 13575 + }, + { + "epoch": 0.4, + "learning_rate": 6.837118764956942e-06, + "loss": 0.8508, + "step": 13576 + }, + { + "epoch": 0.4, + "learning_rate": 6.83667626668077e-06, + "loss": 0.6705, + "step": 13577 + }, + { + "epoch": 0.4, + "learning_rate": 6.836233751774934e-06, + "loss": 0.8604, + "step": 13578 + }, + { + "epoch": 0.4, + "learning_rate": 6.835791220243442e-06, + "loss": 0.8127, + "step": 13579 + }, + { + "epoch": 0.4, + "learning_rate": 6.8353486720903e-06, + "loss": 0.5714, + "step": 13580 + }, + { + "epoch": 0.4, + "learning_rate": 6.834906107319514e-06, + "loss": 1.0048, + "step": 13581 + }, + { + "epoch": 0.4, + "learning_rate": 6.834463525935095e-06, + "loss": 0.8299, + "step": 13582 + }, + { + "epoch": 0.4, + "learning_rate": 6.8340209279410455e-06, + "loss": 0.8653, + "step": 13583 + }, + { + "epoch": 0.4, + "learning_rate": 6.833578313341376e-06, + "loss": 0.803, + "step": 13584 + }, + { + "epoch": 0.4, + "learning_rate": 6.833135682140093e-06, + "loss": 0.5397, + "step": 13585 + }, + { + "epoch": 0.4, + "learning_rate": 6.832693034341205e-06, + "loss": 0.7545, + "step": 13586 + }, + { + "epoch": 0.4, + "learning_rate": 6.832250369948717e-06, + "loss": 0.6566, + "step": 13587 + }, + { + "epoch": 0.4, + "learning_rate": 6.831807688966641e-06, + "loss": 0.549, + "step": 13588 + }, + { + "epoch": 0.4, + "learning_rate": 6.831364991398982e-06, + "loss": 0.8483, + "step": 13589 + }, + { + "epoch": 0.4, + "learning_rate": 6.83092227724975e-06, + "loss": 0.8586, + "step": 13590 + }, + { + "epoch": 0.4, + "learning_rate": 6.830479546522953e-06, + "loss": 0.7171, + "step": 13591 + }, + { + "epoch": 0.4, + "learning_rate": 6.8300367992225994e-06, + "loss": 0.5886, + "step": 13592 + }, + { + "epoch": 0.4, + "learning_rate": 6.829594035352698e-06, + "loss": 0.5413, + "step": 13593 + }, + { + "epoch": 0.4, + "learning_rate": 6.829151254917256e-06, + "loss": 0.6185, + "step": 13594 + }, + { + "epoch": 0.4, + "learning_rate": 6.828708457920287e-06, + "loss": 0.7456, + "step": 13595 + }, + { + "epoch": 0.4, + "learning_rate": 6.828265644365797e-06, + "loss": 0.5265, + "step": 13596 + }, + { + "epoch": 0.4, + "learning_rate": 6.827822814257794e-06, + "loss": 0.6884, + "step": 13597 + }, + { + "epoch": 0.4, + "learning_rate": 6.82737996760029e-06, + "loss": 0.7888, + "step": 13598 + }, + { + "epoch": 0.4, + "learning_rate": 6.826937104397293e-06, + "loss": 0.6378, + "step": 13599 + }, + { + "epoch": 0.4, + "learning_rate": 6.826494224652815e-06, + "loss": 0.7602, + "step": 13600 + }, + { + "epoch": 0.4, + "learning_rate": 6.826051328370864e-06, + "loss": 0.6997, + "step": 13601 + }, + { + "epoch": 0.4, + "learning_rate": 6.8256084155554495e-06, + "loss": 0.8326, + "step": 13602 + }, + { + "epoch": 0.4, + "learning_rate": 6.825165486210583e-06, + "loss": 1.0045, + "step": 13603 + }, + { + "epoch": 0.4, + "learning_rate": 6.8247225403402736e-06, + "loss": 0.8611, + "step": 13604 + }, + { + "epoch": 0.4, + "learning_rate": 6.8242795779485346e-06, + "loss": 0.6849, + "step": 13605 + }, + { + "epoch": 0.4, + "learning_rate": 6.823836599039375e-06, + "loss": 0.5633, + "step": 13606 + }, + { + "epoch": 0.4, + "learning_rate": 6.8233936036168055e-06, + "loss": 0.6804, + "step": 13607 + }, + { + "epoch": 0.4, + "learning_rate": 6.822950591684836e-06, + "loss": 0.7149, + "step": 13608 + }, + { + "epoch": 0.4, + "learning_rate": 6.822507563247479e-06, + "loss": 0.6011, + "step": 13609 + }, + { + "epoch": 0.4, + "learning_rate": 6.822064518308747e-06, + "loss": 0.8826, + "step": 13610 + }, + { + "epoch": 0.4, + "learning_rate": 6.821621456872648e-06, + "loss": 0.6603, + "step": 13611 + }, + { + "epoch": 0.4, + "learning_rate": 6.821178378943196e-06, + "loss": 0.7348, + "step": 13612 + }, + { + "epoch": 0.4, + "learning_rate": 6.820735284524403e-06, + "loss": 0.7757, + "step": 13613 + }, + { + "epoch": 0.4, + "learning_rate": 6.82029217362028e-06, + "loss": 0.7416, + "step": 13614 + }, + { + "epoch": 0.4, + "learning_rate": 6.819849046234839e-06, + "loss": 0.5914, + "step": 13615 + }, + { + "epoch": 0.4, + "learning_rate": 6.819405902372091e-06, + "loss": 0.6685, + "step": 13616 + }, + { + "epoch": 0.4, + "learning_rate": 6.8189627420360514e-06, + "loss": 0.7048, + "step": 13617 + }, + { + "epoch": 0.4, + "learning_rate": 6.8185195652307315e-06, + "loss": 0.5486, + "step": 13618 + }, + { + "epoch": 0.4, + "learning_rate": 6.8180763719601414e-06, + "loss": 0.5193, + "step": 13619 + }, + { + "epoch": 0.4, + "learning_rate": 6.817633162228296e-06, + "loss": 0.7352, + "step": 13620 + }, + { + "epoch": 0.4, + "learning_rate": 6.8171899360392105e-06, + "loss": 0.6668, + "step": 13621 + }, + { + "epoch": 0.4, + "learning_rate": 6.816746693396893e-06, + "loss": 0.5137, + "step": 13622 + }, + { + "epoch": 0.4, + "learning_rate": 6.8163034343053594e-06, + "loss": 0.6338, + "step": 13623 + }, + { + "epoch": 0.4, + "learning_rate": 6.815860158768624e-06, + "loss": 0.497, + "step": 13624 + }, + { + "epoch": 0.4, + "learning_rate": 6.815416866790698e-06, + "loss": 0.7711, + "step": 13625 + }, + { + "epoch": 0.4, + "learning_rate": 6.814973558375596e-06, + "loss": 0.9421, + "step": 13626 + }, + { + "epoch": 0.4, + "learning_rate": 6.814530233527332e-06, + "loss": 0.8379, + "step": 13627 + }, + { + "epoch": 0.4, + "learning_rate": 6.8140868922499205e-06, + "loss": 0.8031, + "step": 13628 + }, + { + "epoch": 0.4, + "learning_rate": 6.8136435345473764e-06, + "loss": 0.7937, + "step": 13629 + }, + { + "epoch": 0.4, + "learning_rate": 6.8132001604237104e-06, + "loss": 0.7196, + "step": 13630 + }, + { + "epoch": 0.4, + "learning_rate": 6.81275676988294e-06, + "loss": 0.7602, + "step": 13631 + }, + { + "epoch": 0.4, + "learning_rate": 6.812313362929079e-06, + "loss": 0.6714, + "step": 13632 + }, + { + "epoch": 0.4, + "learning_rate": 6.811869939566143e-06, + "loss": 0.66, + "step": 13633 + }, + { + "epoch": 0.4, + "learning_rate": 6.811426499798144e-06, + "loss": 0.6785, + "step": 13634 + }, + { + "epoch": 0.4, + "learning_rate": 6.8109830436291e-06, + "loss": 0.5772, + "step": 13635 + }, + { + "epoch": 0.4, + "learning_rate": 6.810539571063026e-06, + "loss": 0.6526, + "step": 13636 + }, + { + "epoch": 0.4, + "learning_rate": 6.810096082103935e-06, + "loss": 0.8883, + "step": 13637 + }, + { + "epoch": 0.4, + "learning_rate": 6.809652576755844e-06, + "loss": 0.8165, + "step": 13638 + }, + { + "epoch": 0.4, + "learning_rate": 6.8092090550227685e-06, + "loss": 0.8527, + "step": 13639 + }, + { + "epoch": 0.4, + "learning_rate": 6.808765516908724e-06, + "loss": 0.838, + "step": 13640 + }, + { + "epoch": 0.4, + "learning_rate": 6.8083219624177265e-06, + "loss": 0.5818, + "step": 13641 + }, + { + "epoch": 0.4, + "learning_rate": 6.8078783915537916e-06, + "loss": 0.7691, + "step": 13642 + }, + { + "epoch": 0.4, + "learning_rate": 6.8074348043209356e-06, + "loss": 0.7611, + "step": 13643 + }, + { + "epoch": 0.4, + "learning_rate": 6.806991200723176e-06, + "loss": 0.6232, + "step": 13644 + }, + { + "epoch": 0.4, + "learning_rate": 6.806547580764529e-06, + "loss": 0.7934, + "step": 13645 + }, + { + "epoch": 0.4, + "learning_rate": 6.8061039444490095e-06, + "loss": 0.799, + "step": 13646 + }, + { + "epoch": 0.4, + "learning_rate": 6.805660291780636e-06, + "loss": 0.8404, + "step": 13647 + }, + { + "epoch": 0.4, + "learning_rate": 6.805216622763424e-06, + "loss": 0.844, + "step": 13648 + }, + { + "epoch": 0.4, + "learning_rate": 6.804772937401391e-06, + "loss": 0.6535, + "step": 13649 + }, + { + "epoch": 0.4, + "learning_rate": 6.804329235698557e-06, + "loss": 1.0816, + "step": 13650 + }, + { + "epoch": 0.4, + "learning_rate": 6.803885517658936e-06, + "loss": 0.7527, + "step": 13651 + }, + { + "epoch": 0.4, + "learning_rate": 6.803441783286545e-06, + "loss": 0.7916, + "step": 13652 + }, + { + "epoch": 0.4, + "learning_rate": 6.802998032585405e-06, + "loss": 0.7027, + "step": 13653 + }, + { + "epoch": 0.4, + "learning_rate": 6.802554265559531e-06, + "loss": 0.7357, + "step": 13654 + }, + { + "epoch": 0.4, + "learning_rate": 6.802110482212943e-06, + "loss": 0.751, + "step": 13655 + }, + { + "epoch": 0.4, + "learning_rate": 6.801666682549658e-06, + "loss": 0.904, + "step": 13656 + }, + { + "epoch": 0.4, + "learning_rate": 6.8012228665736945e-06, + "loss": 0.5342, + "step": 13657 + }, + { + "epoch": 0.4, + "learning_rate": 6.8007790342890705e-06, + "loss": 0.7487, + "step": 13658 + }, + { + "epoch": 0.4, + "learning_rate": 6.800335185699804e-06, + "loss": 0.6246, + "step": 13659 + }, + { + "epoch": 0.4, + "learning_rate": 6.799891320809916e-06, + "loss": 0.5715, + "step": 13660 + }, + { + "epoch": 0.4, + "learning_rate": 6.799447439623423e-06, + "loss": 0.682, + "step": 13661 + }, + { + "epoch": 0.4, + "learning_rate": 6.799003542144344e-06, + "loss": 0.898, + "step": 13662 + }, + { + "epoch": 0.4, + "learning_rate": 6.798559628376699e-06, + "loss": 0.8173, + "step": 13663 + }, + { + "epoch": 0.4, + "learning_rate": 6.798115698324509e-06, + "loss": 0.7828, + "step": 13664 + }, + { + "epoch": 0.4, + "learning_rate": 6.797671751991792e-06, + "loss": 0.9728, + "step": 13665 + }, + { + "epoch": 0.4, + "learning_rate": 6.797227789382566e-06, + "loss": 0.8973, + "step": 13666 + }, + { + "epoch": 0.4, + "learning_rate": 6.796783810500851e-06, + "loss": 0.5719, + "step": 13667 + }, + { + "epoch": 0.4, + "learning_rate": 6.796339815350669e-06, + "loss": 0.678, + "step": 13668 + }, + { + "epoch": 0.4, + "learning_rate": 6.795895803936039e-06, + "loss": 0.5989, + "step": 13669 + }, + { + "epoch": 0.4, + "learning_rate": 6.795451776260982e-06, + "loss": 0.7276, + "step": 13670 + }, + { + "epoch": 0.4, + "learning_rate": 6.795007732329517e-06, + "loss": 0.9311, + "step": 13671 + }, + { + "epoch": 0.4, + "learning_rate": 6.794563672145663e-06, + "loss": 0.8295, + "step": 13672 + }, + { + "epoch": 0.4, + "learning_rate": 6.794119595713444e-06, + "loss": 0.9336, + "step": 13673 + }, + { + "epoch": 0.4, + "learning_rate": 6.79367550303688e-06, + "loss": 0.8111, + "step": 13674 + }, + { + "epoch": 0.4, + "learning_rate": 6.793231394119991e-06, + "loss": 0.7452, + "step": 13675 + }, + { + "epoch": 0.4, + "learning_rate": 6.792787268966799e-06, + "loss": 0.6708, + "step": 13676 + }, + { + "epoch": 0.4, + "learning_rate": 6.792343127581323e-06, + "loss": 0.7838, + "step": 13677 + }, + { + "epoch": 0.4, + "learning_rate": 6.791898969967586e-06, + "loss": 0.7179, + "step": 13678 + }, + { + "epoch": 0.4, + "learning_rate": 6.7914547961296105e-06, + "loss": 0.5841, + "step": 13679 + }, + { + "epoch": 0.4, + "learning_rate": 6.791010606071416e-06, + "loss": 0.7511, + "step": 13680 + }, + { + "epoch": 0.4, + "learning_rate": 6.790566399797026e-06, + "loss": 0.434, + "step": 13681 + }, + { + "epoch": 0.4, + "learning_rate": 6.7901221773104595e-06, + "loss": 0.8927, + "step": 13682 + }, + { + "epoch": 0.4, + "learning_rate": 6.789677938615743e-06, + "loss": 0.9451, + "step": 13683 + }, + { + "epoch": 0.4, + "learning_rate": 6.789233683716896e-06, + "loss": 0.8327, + "step": 13684 + }, + { + "epoch": 0.4, + "learning_rate": 6.788789412617942e-06, + "loss": 0.7803, + "step": 13685 + }, + { + "epoch": 0.4, + "learning_rate": 6.788345125322902e-06, + "loss": 0.6519, + "step": 13686 + }, + { + "epoch": 0.4, + "learning_rate": 6.787900821835799e-06, + "loss": 0.6389, + "step": 13687 + }, + { + "epoch": 0.4, + "learning_rate": 6.787456502160657e-06, + "loss": 0.5153, + "step": 13688 + }, + { + "epoch": 0.4, + "learning_rate": 6.7870121663014995e-06, + "loss": 0.5869, + "step": 13689 + }, + { + "epoch": 0.4, + "learning_rate": 6.786567814262348e-06, + "loss": 0.8187, + "step": 13690 + }, + { + "epoch": 0.4, + "learning_rate": 6.786123446047226e-06, + "loss": 1.0179, + "step": 13691 + }, + { + "epoch": 0.4, + "learning_rate": 6.7856790616601566e-06, + "loss": 0.8484, + "step": 13692 + }, + { + "epoch": 0.4, + "learning_rate": 6.785234661105164e-06, + "loss": 0.7832, + "step": 13693 + }, + { + "epoch": 0.4, + "learning_rate": 6.784790244386272e-06, + "loss": 0.8018, + "step": 13694 + }, + { + "epoch": 0.4, + "learning_rate": 6.7843458115075056e-06, + "loss": 0.6344, + "step": 13695 + }, + { + "epoch": 0.4, + "learning_rate": 6.783901362472887e-06, + "loss": 0.5834, + "step": 13696 + }, + { + "epoch": 0.4, + "learning_rate": 6.7834568972864405e-06, + "loss": 0.6671, + "step": 13697 + }, + { + "epoch": 0.4, + "learning_rate": 6.78301241595219e-06, + "loss": 0.7546, + "step": 13698 + }, + { + "epoch": 0.4, + "learning_rate": 6.782567918474161e-06, + "loss": 0.648, + "step": 13699 + }, + { + "epoch": 0.4, + "learning_rate": 6.782123404856378e-06, + "loss": 0.8142, + "step": 13700 + }, + { + "epoch": 0.4, + "learning_rate": 6.781678875102864e-06, + "loss": 0.7519, + "step": 13701 + }, + { + "epoch": 0.4, + "learning_rate": 6.7812343292176475e-06, + "loss": 1.0006, + "step": 13702 + }, + { + "epoch": 0.4, + "learning_rate": 6.780789767204749e-06, + "loss": 0.7178, + "step": 13703 + }, + { + "epoch": 0.4, + "learning_rate": 6.7803451890681985e-06, + "loss": 0.6316, + "step": 13704 + }, + { + "epoch": 0.4, + "learning_rate": 6.779900594812017e-06, + "loss": 0.5095, + "step": 13705 + }, + { + "epoch": 0.4, + "learning_rate": 6.779455984440231e-06, + "loss": 0.6978, + "step": 13706 + }, + { + "epoch": 0.4, + "learning_rate": 6.779011357956869e-06, + "loss": 0.9339, + "step": 13707 + }, + { + "epoch": 0.4, + "learning_rate": 6.778566715365953e-06, + "loss": 0.5826, + "step": 13708 + }, + { + "epoch": 0.4, + "learning_rate": 6.7781220566715115e-06, + "loss": 0.8012, + "step": 13709 + }, + { + "epoch": 0.4, + "learning_rate": 6.777677381877569e-06, + "loss": 0.628, + "step": 13710 + }, + { + "epoch": 0.4, + "learning_rate": 6.777232690988151e-06, + "loss": 0.8062, + "step": 13711 + }, + { + "epoch": 0.4, + "learning_rate": 6.776787984007286e-06, + "loss": 0.656, + "step": 13712 + }, + { + "epoch": 0.4, + "learning_rate": 6.776343260939e-06, + "loss": 0.9459, + "step": 13713 + }, + { + "epoch": 0.4, + "learning_rate": 6.775898521787319e-06, + "loss": 0.9002, + "step": 13714 + }, + { + "epoch": 0.4, + "learning_rate": 6.775453766556269e-06, + "loss": 0.7719, + "step": 13715 + }, + { + "epoch": 0.4, + "learning_rate": 6.775008995249877e-06, + "loss": 0.7774, + "step": 13716 + }, + { + "epoch": 0.4, + "learning_rate": 6.774564207872173e-06, + "loss": 0.6953, + "step": 13717 + }, + { + "epoch": 0.4, + "learning_rate": 6.774119404427182e-06, + "loss": 0.6886, + "step": 13718 + }, + { + "epoch": 0.4, + "learning_rate": 6.77367458491893e-06, + "loss": 0.7472, + "step": 13719 + }, + { + "epoch": 0.4, + "learning_rate": 6.773229749351447e-06, + "loss": 0.5933, + "step": 13720 + }, + { + "epoch": 0.4, + "learning_rate": 6.772784897728757e-06, + "loss": 0.7938, + "step": 13721 + }, + { + "epoch": 0.4, + "learning_rate": 6.772340030054893e-06, + "loss": 0.6786, + "step": 13722 + }, + { + "epoch": 0.4, + "learning_rate": 6.771895146333879e-06, + "loss": 0.698, + "step": 13723 + }, + { + "epoch": 0.4, + "learning_rate": 6.7714502465697445e-06, + "loss": 0.8411, + "step": 13724 + }, + { + "epoch": 0.4, + "learning_rate": 6.771005330766518e-06, + "loss": 0.712, + "step": 13725 + }, + { + "epoch": 0.4, + "learning_rate": 6.770560398928225e-06, + "loss": 0.6546, + "step": 13726 + }, + { + "epoch": 0.4, + "learning_rate": 6.7701154510588985e-06, + "loss": 0.7434, + "step": 13727 + }, + { + "epoch": 0.4, + "learning_rate": 6.769670487162565e-06, + "loss": 0.681, + "step": 13728 + }, + { + "epoch": 0.4, + "learning_rate": 6.769225507243253e-06, + "loss": 0.7957, + "step": 13729 + }, + { + "epoch": 0.4, + "learning_rate": 6.768780511304991e-06, + "loss": 0.8285, + "step": 13730 + }, + { + "epoch": 0.4, + "learning_rate": 6.768335499351809e-06, + "loss": 0.8194, + "step": 13731 + }, + { + "epoch": 0.4, + "learning_rate": 6.767890471387737e-06, + "loss": 0.7258, + "step": 13732 + }, + { + "epoch": 0.4, + "learning_rate": 6.767445427416803e-06, + "loss": 0.7458, + "step": 13733 + }, + { + "epoch": 0.4, + "learning_rate": 6.767000367443037e-06, + "loss": 0.8407, + "step": 13734 + }, + { + "epoch": 0.4, + "learning_rate": 6.7665552914704695e-06, + "loss": 0.7131, + "step": 13735 + }, + { + "epoch": 0.4, + "learning_rate": 6.766110199503127e-06, + "loss": 0.8678, + "step": 13736 + }, + { + "epoch": 0.4, + "learning_rate": 6.765665091545044e-06, + "loss": 0.5281, + "step": 13737 + }, + { + "epoch": 0.4, + "learning_rate": 6.765219967600248e-06, + "loss": 0.652, + "step": 13738 + }, + { + "epoch": 0.4, + "learning_rate": 6.764774827672771e-06, + "loss": 0.7646, + "step": 13739 + }, + { + "epoch": 0.4, + "learning_rate": 6.7643296717666406e-06, + "loss": 0.6862, + "step": 13740 + }, + { + "epoch": 0.4, + "learning_rate": 6.763884499885888e-06, + "loss": 0.725, + "step": 13741 + }, + { + "epoch": 0.4, + "learning_rate": 6.763439312034548e-06, + "loss": 0.7546, + "step": 13742 + }, + { + "epoch": 0.4, + "learning_rate": 6.762994108216646e-06, + "loss": 0.8771, + "step": 13743 + }, + { + "epoch": 0.4, + "learning_rate": 6.7625488884362156e-06, + "loss": 0.7138, + "step": 13744 + }, + { + "epoch": 0.4, + "learning_rate": 6.762103652697287e-06, + "loss": 0.916, + "step": 13745 + }, + { + "epoch": 0.4, + "learning_rate": 6.761658401003892e-06, + "loss": 0.7035, + "step": 13746 + }, + { + "epoch": 0.4, + "learning_rate": 6.7612131333600625e-06, + "loss": 0.5804, + "step": 13747 + }, + { + "epoch": 0.4, + "learning_rate": 6.7607678497698296e-06, + "loss": 0.7838, + "step": 13748 + }, + { + "epoch": 0.4, + "learning_rate": 6.760322550237225e-06, + "loss": 0.8636, + "step": 13749 + }, + { + "epoch": 0.4, + "learning_rate": 6.75987723476628e-06, + "loss": 0.6381, + "step": 13750 + }, + { + "epoch": 0.4, + "learning_rate": 6.759431903361027e-06, + "loss": 0.7621, + "step": 13751 + }, + { + "epoch": 0.4, + "learning_rate": 6.758986556025497e-06, + "loss": 0.7691, + "step": 13752 + }, + { + "epoch": 0.4, + "learning_rate": 6.758541192763726e-06, + "loss": 0.7038, + "step": 13753 + }, + { + "epoch": 0.4, + "learning_rate": 6.758095813579743e-06, + "loss": 0.876, + "step": 13754 + }, + { + "epoch": 0.4, + "learning_rate": 6.75765041847758e-06, + "loss": 0.8065, + "step": 13755 + }, + { + "epoch": 0.4, + "learning_rate": 6.757205007461272e-06, + "loss": 0.6559, + "step": 13756 + }, + { + "epoch": 0.4, + "learning_rate": 6.756759580534851e-06, + "loss": 0.5076, + "step": 13757 + }, + { + "epoch": 0.4, + "learning_rate": 6.75631413770235e-06, + "loss": 0.7193, + "step": 13758 + }, + { + "epoch": 0.4, + "learning_rate": 6.755868678967803e-06, + "loss": 0.9048, + "step": 13759 + }, + { + "epoch": 0.4, + "learning_rate": 6.755423204335241e-06, + "loss": 0.8511, + "step": 13760 + }, + { + "epoch": 0.4, + "learning_rate": 6.754977713808699e-06, + "loss": 0.6878, + "step": 13761 + }, + { + "epoch": 0.4, + "learning_rate": 6.75453220739221e-06, + "loss": 0.7819, + "step": 13762 + }, + { + "epoch": 0.4, + "learning_rate": 6.75408668508981e-06, + "loss": 0.7811, + "step": 13763 + }, + { + "epoch": 0.4, + "learning_rate": 6.75364114690553e-06, + "loss": 0.6408, + "step": 13764 + }, + { + "epoch": 0.4, + "learning_rate": 6.753195592843403e-06, + "loss": 0.7317, + "step": 13765 + }, + { + "epoch": 0.4, + "learning_rate": 6.752750022907466e-06, + "loss": 0.8068, + "step": 13766 + }, + { + "epoch": 0.4, + "learning_rate": 6.752304437101753e-06, + "loss": 0.739, + "step": 13767 + }, + { + "epoch": 0.4, + "learning_rate": 6.751858835430298e-06, + "loss": 0.7822, + "step": 13768 + }, + { + "epoch": 0.4, + "learning_rate": 6.751413217897136e-06, + "loss": 0.6784, + "step": 13769 + }, + { + "epoch": 0.4, + "learning_rate": 6.750967584506298e-06, + "loss": 0.6699, + "step": 13770 + }, + { + "epoch": 0.4, + "learning_rate": 6.750521935261824e-06, + "loss": 0.8809, + "step": 13771 + }, + { + "epoch": 0.4, + "learning_rate": 6.750076270167748e-06, + "loss": 0.6273, + "step": 13772 + }, + { + "epoch": 0.4, + "learning_rate": 6.749630589228102e-06, + "loss": 0.7757, + "step": 13773 + }, + { + "epoch": 0.4, + "learning_rate": 6.749184892446925e-06, + "loss": 0.8157, + "step": 13774 + }, + { + "epoch": 0.4, + "learning_rate": 6.748739179828249e-06, + "loss": 0.6131, + "step": 13775 + }, + { + "epoch": 0.4, + "learning_rate": 6.7482934513761134e-06, + "loss": 0.681, + "step": 13776 + }, + { + "epoch": 0.4, + "learning_rate": 6.7478477070945504e-06, + "loss": 0.7178, + "step": 13777 + }, + { + "epoch": 0.4, + "learning_rate": 6.747401946987598e-06, + "loss": 0.4779, + "step": 13778 + }, + { + "epoch": 0.4, + "learning_rate": 6.746956171059293e-06, + "loss": 0.6652, + "step": 13779 + }, + { + "epoch": 0.4, + "learning_rate": 6.7465103793136675e-06, + "loss": 1.0028, + "step": 13780 + }, + { + "epoch": 0.4, + "learning_rate": 6.746064571754762e-06, + "loss": 0.6336, + "step": 13781 + }, + { + "epoch": 0.4, + "learning_rate": 6.7456187483866105e-06, + "loss": 0.5834, + "step": 13782 + }, + { + "epoch": 0.4, + "learning_rate": 6.745172909213251e-06, + "loss": 0.6921, + "step": 13783 + }, + { + "epoch": 0.4, + "learning_rate": 6.74472705423872e-06, + "loss": 0.8436, + "step": 13784 + }, + { + "epoch": 0.4, + "learning_rate": 6.744281183467053e-06, + "loss": 0.7019, + "step": 13785 + }, + { + "epoch": 0.41, + "learning_rate": 6.743835296902289e-06, + "loss": 0.6125, + "step": 13786 + }, + { + "epoch": 0.41, + "learning_rate": 6.743389394548464e-06, + "loss": 0.5902, + "step": 13787 + }, + { + "epoch": 0.41, + "learning_rate": 6.742943476409616e-06, + "loss": 0.7157, + "step": 13788 + }, + { + "epoch": 0.41, + "learning_rate": 6.742497542489781e-06, + "loss": 0.7798, + "step": 13789 + }, + { + "epoch": 0.41, + "learning_rate": 6.7420515927929964e-06, + "loss": 0.819, + "step": 13790 + }, + { + "epoch": 0.41, + "learning_rate": 6.7416056273233025e-06, + "loss": 0.6241, + "step": 13791 + }, + { + "epoch": 0.41, + "learning_rate": 6.741159646084736e-06, + "loss": 0.7794, + "step": 13792 + }, + { + "epoch": 0.41, + "learning_rate": 6.740713649081334e-06, + "loss": 0.7706, + "step": 13793 + }, + { + "epoch": 0.41, + "learning_rate": 6.740267636317136e-06, + "loss": 0.788, + "step": 13794 + }, + { + "epoch": 0.41, + "learning_rate": 6.7398216077961775e-06, + "loss": 0.7487, + "step": 13795 + }, + { + "epoch": 0.41, + "learning_rate": 6.739375563522501e-06, + "loss": 0.7417, + "step": 13796 + }, + { + "epoch": 0.41, + "learning_rate": 6.738929503500142e-06, + "loss": 0.6141, + "step": 13797 + }, + { + "epoch": 0.41, + "learning_rate": 6.738483427733143e-06, + "loss": 0.5392, + "step": 13798 + }, + { + "epoch": 0.41, + "learning_rate": 6.7380373362255365e-06, + "loss": 0.756, + "step": 13799 + }, + { + "epoch": 0.41, + "learning_rate": 6.737591228981367e-06, + "loss": 0.9056, + "step": 13800 + }, + { + "epoch": 0.41, + "learning_rate": 6.7371451060046724e-06, + "loss": 0.6656, + "step": 13801 + }, + { + "epoch": 0.41, + "learning_rate": 6.736698967299491e-06, + "loss": 0.8259, + "step": 13802 + }, + { + "epoch": 0.41, + "learning_rate": 6.736252812869863e-06, + "loss": 0.5947, + "step": 13803 + }, + { + "epoch": 0.41, + "learning_rate": 6.7358066427198265e-06, + "loss": 0.561, + "step": 13804 + }, + { + "epoch": 0.41, + "learning_rate": 6.735360456853422e-06, + "loss": 0.5706, + "step": 13805 + }, + { + "epoch": 0.41, + "learning_rate": 6.7349142552746905e-06, + "loss": 0.5563, + "step": 13806 + }, + { + "epoch": 0.41, + "learning_rate": 6.734468037987671e-06, + "loss": 0.8025, + "step": 13807 + }, + { + "epoch": 0.41, + "learning_rate": 6.734021804996405e-06, + "loss": 0.4857, + "step": 13808 + }, + { + "epoch": 0.41, + "learning_rate": 6.73357555630493e-06, + "loss": 0.5778, + "step": 13809 + }, + { + "epoch": 0.41, + "learning_rate": 6.733129291917289e-06, + "loss": 0.7199, + "step": 13810 + }, + { + "epoch": 0.41, + "learning_rate": 6.732683011837521e-06, + "loss": 0.7251, + "step": 13811 + }, + { + "epoch": 0.41, + "learning_rate": 6.732236716069668e-06, + "loss": 0.9219, + "step": 13812 + }, + { + "epoch": 0.41, + "learning_rate": 6.731790404617771e-06, + "loss": 0.9095, + "step": 13813 + }, + { + "epoch": 0.41, + "learning_rate": 6.731344077485868e-06, + "loss": 0.5699, + "step": 13814 + }, + { + "epoch": 0.41, + "learning_rate": 6.730897734678004e-06, + "loss": 0.8962, + "step": 13815 + }, + { + "epoch": 0.41, + "learning_rate": 6.730451376198218e-06, + "loss": 1.148, + "step": 13816 + }, + { + "epoch": 0.41, + "learning_rate": 6.730005002050553e-06, + "loss": 0.8145, + "step": 13817 + }, + { + "epoch": 0.41, + "learning_rate": 6.729558612239049e-06, + "loss": 0.7721, + "step": 13818 + }, + { + "epoch": 0.41, + "learning_rate": 6.729112206767749e-06, + "loss": 0.7736, + "step": 13819 + }, + { + "epoch": 0.41, + "learning_rate": 6.728665785640694e-06, + "loss": 0.9285, + "step": 13820 + }, + { + "epoch": 0.41, + "learning_rate": 6.728219348861926e-06, + "loss": 1.0138, + "step": 13821 + }, + { + "epoch": 0.41, + "learning_rate": 6.7277728964354886e-06, + "loss": 0.8489, + "step": 13822 + }, + { + "epoch": 0.41, + "learning_rate": 6.7273264283654215e-06, + "loss": 0.8846, + "step": 13823 + }, + { + "epoch": 0.41, + "learning_rate": 6.726879944655769e-06, + "loss": 0.6492, + "step": 13824 + }, + { + "epoch": 0.41, + "learning_rate": 6.726433445310572e-06, + "loss": 0.6013, + "step": 13825 + }, + { + "epoch": 0.41, + "learning_rate": 6.7259869303338744e-06, + "loss": 0.7457, + "step": 13826 + }, + { + "epoch": 0.41, + "learning_rate": 6.72554039972972e-06, + "loss": 0.7172, + "step": 13827 + }, + { + "epoch": 0.41, + "learning_rate": 6.725093853502151e-06, + "loss": 0.8053, + "step": 13828 + }, + { + "epoch": 0.41, + "learning_rate": 6.724647291655208e-06, + "loss": 0.9524, + "step": 13829 + }, + { + "epoch": 0.41, + "learning_rate": 6.724200714192938e-06, + "loss": 0.5413, + "step": 13830 + }, + { + "epoch": 0.41, + "learning_rate": 6.723754121119383e-06, + "loss": 0.83, + "step": 13831 + }, + { + "epoch": 0.41, + "learning_rate": 6.7233075124385875e-06, + "loss": 0.7733, + "step": 13832 + }, + { + "epoch": 0.41, + "learning_rate": 6.722860888154592e-06, + "loss": 0.7314, + "step": 13833 + }, + { + "epoch": 0.41, + "learning_rate": 6.722414248271444e-06, + "loss": 0.5202, + "step": 13834 + }, + { + "epoch": 0.41, + "learning_rate": 6.721967592793186e-06, + "loss": 0.6344, + "step": 13835 + }, + { + "epoch": 0.41, + "learning_rate": 6.721520921723861e-06, + "loss": 0.708, + "step": 13836 + }, + { + "epoch": 0.41, + "learning_rate": 6.721074235067515e-06, + "loss": 0.5871, + "step": 13837 + }, + { + "epoch": 0.41, + "learning_rate": 6.720627532828192e-06, + "loss": 0.5475, + "step": 13838 + }, + { + "epoch": 0.41, + "learning_rate": 6.7201808150099366e-06, + "loss": 0.5876, + "step": 13839 + }, + { + "epoch": 0.41, + "learning_rate": 6.719734081616793e-06, + "loss": 0.8946, + "step": 13840 + }, + { + "epoch": 0.41, + "learning_rate": 6.719287332652806e-06, + "loss": 0.645, + "step": 13841 + }, + { + "epoch": 0.41, + "learning_rate": 6.718840568122022e-06, + "loss": 0.8, + "step": 13842 + }, + { + "epoch": 0.41, + "learning_rate": 6.718393788028483e-06, + "loss": 0.6729, + "step": 13843 + }, + { + "epoch": 0.41, + "learning_rate": 6.717946992376237e-06, + "loss": 0.6863, + "step": 13844 + }, + { + "epoch": 0.41, + "learning_rate": 6.717500181169327e-06, + "loss": 0.6905, + "step": 13845 + }, + { + "epoch": 0.41, + "learning_rate": 6.7170533544118024e-06, + "loss": 0.7352, + "step": 13846 + }, + { + "epoch": 0.41, + "learning_rate": 6.7166065121077054e-06, + "loss": 0.5207, + "step": 13847 + }, + { + "epoch": 0.41, + "learning_rate": 6.7161596542610815e-06, + "loss": 0.9438, + "step": 13848 + }, + { + "epoch": 0.41, + "learning_rate": 6.7157127808759796e-06, + "loss": 0.8462, + "step": 13849 + }, + { + "epoch": 0.41, + "learning_rate": 6.715265891956444e-06, + "loss": 0.8902, + "step": 13850 + }, + { + "epoch": 0.41, + "learning_rate": 6.714818987506521e-06, + "loss": 0.8873, + "step": 13851 + }, + { + "epoch": 0.41, + "learning_rate": 6.714372067530257e-06, + "loss": 0.6392, + "step": 13852 + }, + { + "epoch": 0.41, + "learning_rate": 6.713925132031699e-06, + "loss": 0.6695, + "step": 13853 + }, + { + "epoch": 0.41, + "learning_rate": 6.713478181014892e-06, + "loss": 0.8262, + "step": 13854 + }, + { + "epoch": 0.41, + "learning_rate": 6.713031214483885e-06, + "loss": 0.9483, + "step": 13855 + }, + { + "epoch": 0.41, + "learning_rate": 6.712584232442725e-06, + "loss": 0.6895, + "step": 13856 + }, + { + "epoch": 0.41, + "learning_rate": 6.712137234895457e-06, + "loss": 0.9445, + "step": 13857 + }, + { + "epoch": 0.41, + "learning_rate": 6.71169022184613e-06, + "loss": 0.7407, + "step": 13858 + }, + { + "epoch": 0.41, + "learning_rate": 6.71124319329879e-06, + "loss": 0.875, + "step": 13859 + }, + { + "epoch": 0.41, + "learning_rate": 6.710796149257486e-06, + "loss": 1.0335, + "step": 13860 + }, + { + "epoch": 0.41, + "learning_rate": 6.7103490897262634e-06, + "loss": 0.8743, + "step": 13861 + }, + { + "epoch": 0.41, + "learning_rate": 6.709902014709172e-06, + "loss": 0.8522, + "step": 13862 + }, + { + "epoch": 0.41, + "learning_rate": 6.709454924210259e-06, + "loss": 0.651, + "step": 13863 + }, + { + "epoch": 0.41, + "learning_rate": 6.709007818233572e-06, + "loss": 0.5838, + "step": 13864 + }, + { + "epoch": 0.41, + "learning_rate": 6.708560696783161e-06, + "loss": 0.7394, + "step": 13865 + }, + { + "epoch": 0.41, + "learning_rate": 6.708113559863072e-06, + "loss": 0.6213, + "step": 13866 + }, + { + "epoch": 0.41, + "learning_rate": 6.707666407477355e-06, + "loss": 0.5863, + "step": 13867 + }, + { + "epoch": 0.41, + "learning_rate": 6.707219239630057e-06, + "loss": 0.6601, + "step": 13868 + }, + { + "epoch": 0.41, + "learning_rate": 6.706772056325228e-06, + "loss": 0.6771, + "step": 13869 + }, + { + "epoch": 0.41, + "learning_rate": 6.706324857566918e-06, + "loss": 0.7012, + "step": 13870 + }, + { + "epoch": 0.41, + "learning_rate": 6.705877643359174e-06, + "loss": 0.742, + "step": 13871 + }, + { + "epoch": 0.41, + "learning_rate": 6.705430413706046e-06, + "loss": 0.6533, + "step": 13872 + }, + { + "epoch": 0.41, + "learning_rate": 6.704983168611585e-06, + "loss": 0.6891, + "step": 13873 + }, + { + "epoch": 0.41, + "learning_rate": 6.7045359080798356e-06, + "loss": 0.7725, + "step": 13874 + }, + { + "epoch": 0.41, + "learning_rate": 6.704088632114853e-06, + "loss": 0.8856, + "step": 13875 + }, + { + "epoch": 0.41, + "learning_rate": 6.703641340720684e-06, + "loss": 0.7167, + "step": 13876 + }, + { + "epoch": 0.41, + "learning_rate": 6.703194033901379e-06, + "loss": 0.6642, + "step": 13877 + }, + { + "epoch": 0.41, + "learning_rate": 6.702746711660987e-06, + "loss": 0.5247, + "step": 13878 + }, + { + "epoch": 0.41, + "learning_rate": 6.702299374003559e-06, + "loss": 0.6568, + "step": 13879 + }, + { + "epoch": 0.41, + "learning_rate": 6.701852020933146e-06, + "loss": 0.6635, + "step": 13880 + }, + { + "epoch": 0.41, + "learning_rate": 6.701404652453798e-06, + "loss": 0.9349, + "step": 13881 + }, + { + "epoch": 0.41, + "learning_rate": 6.7009572685695664e-06, + "loss": 0.5215, + "step": 13882 + }, + { + "epoch": 0.41, + "learning_rate": 6.7005098692845e-06, + "loss": 0.7635, + "step": 13883 + }, + { + "epoch": 0.41, + "learning_rate": 6.7000624546026495e-06, + "loss": 0.5389, + "step": 13884 + }, + { + "epoch": 0.41, + "learning_rate": 6.699615024528068e-06, + "loss": 0.6806, + "step": 13885 + }, + { + "epoch": 0.41, + "learning_rate": 6.699167579064806e-06, + "loss": 0.9172, + "step": 13886 + }, + { + "epoch": 0.41, + "learning_rate": 6.6987201182169135e-06, + "loss": 0.7035, + "step": 13887 + }, + { + "epoch": 0.41, + "learning_rate": 6.6982726419884435e-06, + "loss": 0.831, + "step": 13888 + }, + { + "epoch": 0.41, + "learning_rate": 6.6978251503834455e-06, + "loss": 0.9114, + "step": 13889 + }, + { + "epoch": 0.41, + "learning_rate": 6.6973776434059735e-06, + "loss": 0.8381, + "step": 13890 + }, + { + "epoch": 0.41, + "learning_rate": 6.696930121060078e-06, + "loss": 0.6502, + "step": 13891 + }, + { + "epoch": 0.41, + "learning_rate": 6.696482583349811e-06, + "loss": 0.921, + "step": 13892 + }, + { + "epoch": 0.41, + "learning_rate": 6.696035030279225e-06, + "loss": 1.0238, + "step": 13893 + }, + { + "epoch": 0.41, + "learning_rate": 6.695587461852372e-06, + "loss": 0.757, + "step": 13894 + }, + { + "epoch": 0.41, + "learning_rate": 6.6951398780733044e-06, + "loss": 0.6892, + "step": 13895 + }, + { + "epoch": 0.41, + "learning_rate": 6.6946922789460754e-06, + "loss": 0.6815, + "step": 13896 + }, + { + "epoch": 0.41, + "learning_rate": 6.694244664474739e-06, + "loss": 0.7641, + "step": 13897 + }, + { + "epoch": 0.41, + "learning_rate": 6.693797034663342e-06, + "loss": 0.4665, + "step": 13898 + }, + { + "epoch": 0.41, + "learning_rate": 6.693349389515943e-06, + "loss": 0.839, + "step": 13899 + }, + { + "epoch": 0.41, + "learning_rate": 6.692901729036594e-06, + "loss": 0.7361, + "step": 13900 + }, + { + "epoch": 0.41, + "learning_rate": 6.692454053229348e-06, + "loss": 0.7446, + "step": 13901 + }, + { + "epoch": 0.41, + "learning_rate": 6.692006362098258e-06, + "loss": 0.8272, + "step": 13902 + }, + { + "epoch": 0.41, + "learning_rate": 6.691558655647376e-06, + "loss": 0.8422, + "step": 13903 + }, + { + "epoch": 0.41, + "learning_rate": 6.69111093388076e-06, + "loss": 0.5737, + "step": 13904 + }, + { + "epoch": 0.41, + "learning_rate": 6.69066319680246e-06, + "loss": 0.9852, + "step": 13905 + }, + { + "epoch": 0.41, + "learning_rate": 6.690215444416529e-06, + "loss": 0.7993, + "step": 13906 + }, + { + "epoch": 0.41, + "learning_rate": 6.689767676727024e-06, + "loss": 0.8017, + "step": 13907 + }, + { + "epoch": 0.41, + "learning_rate": 6.6893198937379975e-06, + "loss": 0.8902, + "step": 13908 + }, + { + "epoch": 0.41, + "learning_rate": 6.688872095453505e-06, + "loss": 0.5072, + "step": 13909 + }, + { + "epoch": 0.41, + "learning_rate": 6.688424281877601e-06, + "loss": 0.799, + "step": 13910 + }, + { + "epoch": 0.41, + "learning_rate": 6.68797645301434e-06, + "loss": 0.5414, + "step": 13911 + }, + { + "epoch": 0.41, + "learning_rate": 6.687528608867775e-06, + "loss": 0.7665, + "step": 13912 + }, + { + "epoch": 0.41, + "learning_rate": 6.687080749441961e-06, + "loss": 0.9254, + "step": 13913 + }, + { + "epoch": 0.41, + "learning_rate": 6.686632874740955e-06, + "loss": 0.8625, + "step": 13914 + }, + { + "epoch": 0.41, + "learning_rate": 6.686184984768812e-06, + "loss": 0.6296, + "step": 13915 + }, + { + "epoch": 0.41, + "learning_rate": 6.685737079529586e-06, + "loss": 0.8066, + "step": 13916 + }, + { + "epoch": 0.41, + "learning_rate": 6.685289159027334e-06, + "loss": 0.8425, + "step": 13917 + }, + { + "epoch": 0.41, + "learning_rate": 6.684841223266109e-06, + "loss": 0.7241, + "step": 13918 + }, + { + "epoch": 0.41, + "learning_rate": 6.684393272249968e-06, + "loss": 0.7777, + "step": 13919 + }, + { + "epoch": 0.41, + "learning_rate": 6.683945305982968e-06, + "loss": 0.6439, + "step": 13920 + }, + { + "epoch": 0.41, + "learning_rate": 6.6834973244691644e-06, + "loss": 0.8402, + "step": 13921 + }, + { + "epoch": 0.41, + "learning_rate": 6.683049327712613e-06, + "loss": 0.9759, + "step": 13922 + }, + { + "epoch": 0.41, + "learning_rate": 6.68260131571737e-06, + "loss": 0.9016, + "step": 13923 + }, + { + "epoch": 0.41, + "learning_rate": 6.682153288487492e-06, + "loss": 0.856, + "step": 13924 + }, + { + "epoch": 0.41, + "learning_rate": 6.681705246027035e-06, + "loss": 1.0893, + "step": 13925 + }, + { + "epoch": 0.41, + "learning_rate": 6.681257188340056e-06, + "loss": 0.7581, + "step": 13926 + }, + { + "epoch": 0.41, + "learning_rate": 6.680809115430612e-06, + "loss": 0.8057, + "step": 13927 + }, + { + "epoch": 0.41, + "learning_rate": 6.68036102730276e-06, + "loss": 0.9801, + "step": 13928 + }, + { + "epoch": 0.41, + "learning_rate": 6.679912923960556e-06, + "loss": 0.7462, + "step": 13929 + }, + { + "epoch": 0.41, + "learning_rate": 6.679464805408059e-06, + "loss": 0.9952, + "step": 13930 + }, + { + "epoch": 0.41, + "learning_rate": 6.679016671649325e-06, + "loss": 0.7951, + "step": 13931 + }, + { + "epoch": 0.41, + "learning_rate": 6.678568522688413e-06, + "loss": 0.6955, + "step": 13932 + }, + { + "epoch": 0.41, + "learning_rate": 6.678120358529379e-06, + "loss": 0.6748, + "step": 13933 + }, + { + "epoch": 0.41, + "learning_rate": 6.677672179176281e-06, + "loss": 0.72, + "step": 13934 + }, + { + "epoch": 0.41, + "learning_rate": 6.677223984633177e-06, + "loss": 0.6006, + "step": 13935 + }, + { + "epoch": 0.41, + "learning_rate": 6.676775774904127e-06, + "loss": 0.7496, + "step": 13936 + }, + { + "epoch": 0.41, + "learning_rate": 6.676327549993187e-06, + "loss": 0.8353, + "step": 13937 + }, + { + "epoch": 0.41, + "learning_rate": 6.675879309904415e-06, + "loss": 0.6791, + "step": 13938 + }, + { + "epoch": 0.41, + "learning_rate": 6.675431054641871e-06, + "loss": 0.7192, + "step": 13939 + }, + { + "epoch": 0.41, + "learning_rate": 6.6749827842096126e-06, + "loss": 1.0836, + "step": 13940 + }, + { + "epoch": 0.41, + "learning_rate": 6.6745344986117e-06, + "loss": 1.0144, + "step": 13941 + }, + { + "epoch": 0.41, + "learning_rate": 6.67408619785219e-06, + "loss": 0.9022, + "step": 13942 + }, + { + "epoch": 0.41, + "learning_rate": 6.6736378819351435e-06, + "loss": 0.6493, + "step": 13943 + }, + { + "epoch": 0.41, + "learning_rate": 6.6731895508646185e-06, + "loss": 0.6681, + "step": 13944 + }, + { + "epoch": 0.41, + "learning_rate": 6.672741204644673e-06, + "loss": 0.6438, + "step": 13945 + }, + { + "epoch": 0.41, + "learning_rate": 6.6722928432793684e-06, + "loss": 0.6526, + "step": 13946 + }, + { + "epoch": 0.41, + "learning_rate": 6.6718444667727655e-06, + "loss": 0.9138, + "step": 13947 + }, + { + "epoch": 0.41, + "learning_rate": 6.67139607512892e-06, + "loss": 0.8497, + "step": 13948 + }, + { + "epoch": 0.41, + "learning_rate": 6.670947668351894e-06, + "loss": 0.7331, + "step": 13949 + }, + { + "epoch": 0.41, + "learning_rate": 6.670499246445749e-06, + "loss": 0.8271, + "step": 13950 + }, + { + "epoch": 0.41, + "learning_rate": 6.670050809414544e-06, + "loss": 0.7886, + "step": 13951 + }, + { + "epoch": 0.41, + "learning_rate": 6.669602357262339e-06, + "loss": 0.6492, + "step": 13952 + }, + { + "epoch": 0.41, + "learning_rate": 6.669153889993191e-06, + "loss": 0.8308, + "step": 13953 + }, + { + "epoch": 0.41, + "learning_rate": 6.6687054076111665e-06, + "loss": 0.723, + "step": 13954 + }, + { + "epoch": 0.41, + "learning_rate": 6.668256910120324e-06, + "loss": 0.8073, + "step": 13955 + }, + { + "epoch": 0.41, + "learning_rate": 6.667808397524723e-06, + "loss": 1.0432, + "step": 13956 + }, + { + "epoch": 0.41, + "learning_rate": 6.667359869828424e-06, + "loss": 0.9256, + "step": 13957 + }, + { + "epoch": 0.41, + "learning_rate": 6.6669113270354904e-06, + "loss": 0.6533, + "step": 13958 + }, + { + "epoch": 0.41, + "learning_rate": 6.666462769149982e-06, + "loss": 0.9575, + "step": 13959 + }, + { + "epoch": 0.41, + "learning_rate": 6.6660141961759605e-06, + "loss": 0.6111, + "step": 13960 + }, + { + "epoch": 0.41, + "learning_rate": 6.665565608117487e-06, + "loss": 0.825, + "step": 13961 + }, + { + "epoch": 0.41, + "learning_rate": 6.665117004978623e-06, + "loss": 0.734, + "step": 13962 + }, + { + "epoch": 0.41, + "learning_rate": 6.664668386763431e-06, + "loss": 0.9966, + "step": 13963 + }, + { + "epoch": 0.41, + "learning_rate": 6.664219753475972e-06, + "loss": 0.702, + "step": 13964 + }, + { + "epoch": 0.41, + "learning_rate": 6.663771105120309e-06, + "loss": 0.635, + "step": 13965 + }, + { + "epoch": 0.41, + "learning_rate": 6.663322441700504e-06, + "loss": 0.7931, + "step": 13966 + }, + { + "epoch": 0.41, + "learning_rate": 6.662873763220617e-06, + "loss": 0.3594, + "step": 13967 + }, + { + "epoch": 0.41, + "learning_rate": 6.6624250696847145e-06, + "loss": 0.8384, + "step": 13968 + }, + { + "epoch": 0.41, + "learning_rate": 6.661976361096856e-06, + "loss": 0.4842, + "step": 13969 + }, + { + "epoch": 0.41, + "learning_rate": 6.661527637461106e-06, + "loss": 0.7565, + "step": 13970 + }, + { + "epoch": 0.41, + "learning_rate": 6.661078898781526e-06, + "loss": 0.9053, + "step": 13971 + }, + { + "epoch": 0.41, + "learning_rate": 6.660630145062178e-06, + "loss": 0.8861, + "step": 13972 + }, + { + "epoch": 0.41, + "learning_rate": 6.660181376307129e-06, + "loss": 0.9404, + "step": 13973 + }, + { + "epoch": 0.41, + "learning_rate": 6.659732592520438e-06, + "loss": 0.6813, + "step": 13974 + }, + { + "epoch": 0.41, + "learning_rate": 6.65928379370617e-06, + "loss": 0.8335, + "step": 13975 + }, + { + "epoch": 0.41, + "learning_rate": 6.658834979868391e-06, + "loss": 0.4966, + "step": 13976 + }, + { + "epoch": 0.41, + "learning_rate": 6.65838615101116e-06, + "loss": 0.5192, + "step": 13977 + }, + { + "epoch": 0.41, + "learning_rate": 6.657937307138544e-06, + "loss": 0.5582, + "step": 13978 + }, + { + "epoch": 0.41, + "learning_rate": 6.657488448254608e-06, + "loss": 0.6361, + "step": 13979 + }, + { + "epoch": 0.41, + "learning_rate": 6.657039574363412e-06, + "loss": 0.7834, + "step": 13980 + }, + { + "epoch": 0.41, + "learning_rate": 6.656590685469023e-06, + "loss": 0.7954, + "step": 13981 + }, + { + "epoch": 0.41, + "learning_rate": 6.656141781575505e-06, + "loss": 0.7522, + "step": 13982 + }, + { + "epoch": 0.41, + "learning_rate": 6.655692862686922e-06, + "loss": 0.7337, + "step": 13983 + }, + { + "epoch": 0.41, + "learning_rate": 6.655243928807339e-06, + "loss": 0.7196, + "step": 13984 + }, + { + "epoch": 0.41, + "learning_rate": 6.65479497994082e-06, + "loss": 0.7232, + "step": 13985 + }, + { + "epoch": 0.41, + "learning_rate": 6.6543460160914305e-06, + "loss": 0.8248, + "step": 13986 + }, + { + "epoch": 0.41, + "learning_rate": 6.653897037263235e-06, + "loss": 0.7893, + "step": 13987 + }, + { + "epoch": 0.41, + "learning_rate": 6.6534480434603e-06, + "loss": 0.7131, + "step": 13988 + }, + { + "epoch": 0.41, + "learning_rate": 6.652999034686689e-06, + "loss": 0.8681, + "step": 13989 + }, + { + "epoch": 0.41, + "learning_rate": 6.652550010946469e-06, + "loss": 0.4749, + "step": 13990 + }, + { + "epoch": 0.41, + "learning_rate": 6.652100972243705e-06, + "loss": 0.9158, + "step": 13991 + }, + { + "epoch": 0.41, + "learning_rate": 6.651651918582461e-06, + "loss": 0.9175, + "step": 13992 + }, + { + "epoch": 0.41, + "learning_rate": 6.6512028499668055e-06, + "loss": 0.8167, + "step": 13993 + }, + { + "epoch": 0.41, + "learning_rate": 6.650753766400803e-06, + "loss": 0.8849, + "step": 13994 + }, + { + "epoch": 0.41, + "learning_rate": 6.650304667888522e-06, + "loss": 0.8891, + "step": 13995 + }, + { + "epoch": 0.41, + "learning_rate": 6.649855554434025e-06, + "loss": 0.6852, + "step": 13996 + }, + { + "epoch": 0.41, + "learning_rate": 6.64940642604138e-06, + "loss": 0.9043, + "step": 13997 + }, + { + "epoch": 0.41, + "learning_rate": 6.648957282714653e-06, + "loss": 0.5008, + "step": 13998 + }, + { + "epoch": 0.41, + "learning_rate": 6.648508124457912e-06, + "loss": 0.7007, + "step": 13999 + }, + { + "epoch": 0.41, + "learning_rate": 6.648058951275223e-06, + "loss": 0.7654, + "step": 14000 + }, + { + "epoch": 0.41, + "learning_rate": 6.647609763170653e-06, + "loss": 0.8919, + "step": 14001 + }, + { + "epoch": 0.41, + "learning_rate": 6.6471605601482695e-06, + "loss": 0.9042, + "step": 14002 + }, + { + "epoch": 0.41, + "learning_rate": 6.646711342212138e-06, + "loss": 0.5894, + "step": 14003 + }, + { + "epoch": 0.41, + "learning_rate": 6.646262109366327e-06, + "loss": 0.5573, + "step": 14004 + }, + { + "epoch": 0.41, + "learning_rate": 6.645812861614904e-06, + "loss": 0.8499, + "step": 14005 + }, + { + "epoch": 0.41, + "learning_rate": 6.645363598961937e-06, + "loss": 0.8258, + "step": 14006 + }, + { + "epoch": 0.41, + "learning_rate": 6.644914321411491e-06, + "loss": 0.7548, + "step": 14007 + }, + { + "epoch": 0.41, + "learning_rate": 6.644465028967638e-06, + "loss": 0.696, + "step": 14008 + }, + { + "epoch": 0.41, + "learning_rate": 6.644015721634445e-06, + "loss": 0.6151, + "step": 14009 + }, + { + "epoch": 0.41, + "learning_rate": 6.643566399415977e-06, + "loss": 0.6574, + "step": 14010 + }, + { + "epoch": 0.41, + "learning_rate": 6.643117062316305e-06, + "loss": 0.7074, + "step": 14011 + }, + { + "epoch": 0.41, + "learning_rate": 6.642667710339497e-06, + "loss": 0.6651, + "step": 14012 + }, + { + "epoch": 0.41, + "learning_rate": 6.642218343489621e-06, + "loss": 0.7171, + "step": 14013 + }, + { + "epoch": 0.41, + "learning_rate": 6.641768961770747e-06, + "loss": 0.4822, + "step": 14014 + }, + { + "epoch": 0.41, + "learning_rate": 6.641319565186942e-06, + "loss": 0.594, + "step": 14015 + }, + { + "epoch": 0.41, + "learning_rate": 6.640870153742277e-06, + "loss": 0.8758, + "step": 14016 + }, + { + "epoch": 0.41, + "learning_rate": 6.6404207274408174e-06, + "loss": 0.9069, + "step": 14017 + }, + { + "epoch": 0.41, + "learning_rate": 6.639971286286637e-06, + "loss": 0.5535, + "step": 14018 + }, + { + "epoch": 0.41, + "learning_rate": 6.639521830283801e-06, + "loss": 0.8346, + "step": 14019 + }, + { + "epoch": 0.41, + "learning_rate": 6.639072359436383e-06, + "loss": 0.7781, + "step": 14020 + }, + { + "epoch": 0.41, + "learning_rate": 6.638622873748449e-06, + "loss": 0.814, + "step": 14021 + }, + { + "epoch": 0.41, + "learning_rate": 6.638173373224071e-06, + "loss": 0.6823, + "step": 14022 + }, + { + "epoch": 0.41, + "learning_rate": 6.637723857867317e-06, + "loss": 0.8344, + "step": 14023 + }, + { + "epoch": 0.41, + "learning_rate": 6.637274327682259e-06, + "loss": 0.5547, + "step": 14024 + }, + { + "epoch": 0.41, + "learning_rate": 6.636824782672967e-06, + "loss": 0.6614, + "step": 14025 + }, + { + "epoch": 0.41, + "learning_rate": 6.636375222843507e-06, + "loss": 0.4978, + "step": 14026 + }, + { + "epoch": 0.41, + "learning_rate": 6.635925648197956e-06, + "loss": 0.6913, + "step": 14027 + }, + { + "epoch": 0.41, + "learning_rate": 6.635476058740381e-06, + "loss": 0.8179, + "step": 14028 + }, + { + "epoch": 0.41, + "learning_rate": 6.635026454474853e-06, + "loss": 0.9256, + "step": 14029 + }, + { + "epoch": 0.41, + "learning_rate": 6.634576835405443e-06, + "loss": 0.6751, + "step": 14030 + }, + { + "epoch": 0.41, + "learning_rate": 6.63412720153622e-06, + "loss": 0.4499, + "step": 14031 + }, + { + "epoch": 0.41, + "learning_rate": 6.6336775528712585e-06, + "loss": 0.7425, + "step": 14032 + }, + { + "epoch": 0.41, + "learning_rate": 6.633227889414629e-06, + "loss": 0.4766, + "step": 14033 + }, + { + "epoch": 0.41, + "learning_rate": 6.632778211170401e-06, + "loss": 0.608, + "step": 14034 + }, + { + "epoch": 0.41, + "learning_rate": 6.632328518142647e-06, + "loss": 0.7286, + "step": 14035 + }, + { + "epoch": 0.41, + "learning_rate": 6.631878810335437e-06, + "loss": 0.8351, + "step": 14036 + }, + { + "epoch": 0.41, + "learning_rate": 6.631429087752846e-06, + "loss": 0.8433, + "step": 14037 + }, + { + "epoch": 0.41, + "learning_rate": 6.630979350398945e-06, + "loss": 0.7878, + "step": 14038 + }, + { + "epoch": 0.41, + "learning_rate": 6.630529598277805e-06, + "loss": 1.052, + "step": 14039 + }, + { + "epoch": 0.41, + "learning_rate": 6.630079831393498e-06, + "loss": 0.8649, + "step": 14040 + }, + { + "epoch": 0.41, + "learning_rate": 6.629630049750095e-06, + "loss": 0.6771, + "step": 14041 + }, + { + "epoch": 0.41, + "learning_rate": 6.629180253351672e-06, + "loss": 0.7217, + "step": 14042 + }, + { + "epoch": 0.41, + "learning_rate": 6.6287304422023e-06, + "loss": 0.8724, + "step": 14043 + }, + { + "epoch": 0.41, + "learning_rate": 6.6282806163060505e-06, + "loss": 0.4747, + "step": 14044 + }, + { + "epoch": 0.41, + "learning_rate": 6.627830775666999e-06, + "loss": 0.6995, + "step": 14045 + }, + { + "epoch": 0.41, + "learning_rate": 6.627380920289215e-06, + "loss": 0.7956, + "step": 14046 + }, + { + "epoch": 0.41, + "learning_rate": 6.626931050176774e-06, + "loss": 0.6477, + "step": 14047 + }, + { + "epoch": 0.41, + "learning_rate": 6.626481165333748e-06, + "loss": 0.7178, + "step": 14048 + }, + { + "epoch": 0.41, + "learning_rate": 6.62603126576421e-06, + "loss": 0.6828, + "step": 14049 + }, + { + "epoch": 0.41, + "learning_rate": 6.625581351472236e-06, + "loss": 0.877, + "step": 14050 + }, + { + "epoch": 0.41, + "learning_rate": 6.625131422461896e-06, + "loss": 0.5797, + "step": 14051 + }, + { + "epoch": 0.41, + "learning_rate": 6.624681478737266e-06, + "loss": 0.6192, + "step": 14052 + }, + { + "epoch": 0.41, + "learning_rate": 6.624231520302421e-06, + "loss": 0.6429, + "step": 14053 + }, + { + "epoch": 0.41, + "learning_rate": 6.623781547161432e-06, + "loss": 0.6847, + "step": 14054 + }, + { + "epoch": 0.41, + "learning_rate": 6.6233315593183755e-06, + "loss": 0.7013, + "step": 14055 + }, + { + "epoch": 0.41, + "learning_rate": 6.622881556777325e-06, + "loss": 0.654, + "step": 14056 + }, + { + "epoch": 0.41, + "learning_rate": 6.622431539542354e-06, + "loss": 0.6386, + "step": 14057 + }, + { + "epoch": 0.41, + "learning_rate": 6.62198150761754e-06, + "loss": 0.87, + "step": 14058 + }, + { + "epoch": 0.41, + "learning_rate": 6.621531461006955e-06, + "loss": 0.7442, + "step": 14059 + }, + { + "epoch": 0.41, + "learning_rate": 6.621081399714674e-06, + "loss": 0.9454, + "step": 14060 + }, + { + "epoch": 0.41, + "learning_rate": 6.620631323744771e-06, + "loss": 0.8899, + "step": 14061 + }, + { + "epoch": 0.41, + "learning_rate": 6.6201812331013235e-06, + "loss": 0.7475, + "step": 14062 + }, + { + "epoch": 0.41, + "learning_rate": 6.619731127788407e-06, + "loss": 0.5015, + "step": 14063 + }, + { + "epoch": 0.41, + "learning_rate": 6.619281007810095e-06, + "loss": 0.8476, + "step": 14064 + }, + { + "epoch": 0.41, + "learning_rate": 6.618830873170464e-06, + "loss": 1.0095, + "step": 14065 + }, + { + "epoch": 0.41, + "learning_rate": 6.618380723873589e-06, + "loss": 0.8013, + "step": 14066 + }, + { + "epoch": 0.41, + "learning_rate": 6.617930559923546e-06, + "loss": 0.7983, + "step": 14067 + }, + { + "epoch": 0.41, + "learning_rate": 6.617480381324411e-06, + "loss": 0.9792, + "step": 14068 + }, + { + "epoch": 0.41, + "learning_rate": 6.617030188080259e-06, + "loss": 0.693, + "step": 14069 + }, + { + "epoch": 0.41, + "learning_rate": 6.616579980195167e-06, + "loss": 0.823, + "step": 14070 + }, + { + "epoch": 0.41, + "learning_rate": 6.616129757673211e-06, + "loss": 0.4624, + "step": 14071 + }, + { + "epoch": 0.41, + "learning_rate": 6.6156795205184675e-06, + "loss": 0.6773, + "step": 14072 + }, + { + "epoch": 0.41, + "learning_rate": 6.615229268735015e-06, + "loss": 0.702, + "step": 14073 + }, + { + "epoch": 0.41, + "learning_rate": 6.614779002326927e-06, + "loss": 0.7742, + "step": 14074 + }, + { + "epoch": 0.41, + "learning_rate": 6.6143287212982825e-06, + "loss": 0.8049, + "step": 14075 + }, + { + "epoch": 0.41, + "learning_rate": 6.613878425653156e-06, + "loss": 0.7266, + "step": 14076 + }, + { + "epoch": 0.41, + "learning_rate": 6.6134281153956284e-06, + "loss": 0.7751, + "step": 14077 + }, + { + "epoch": 0.41, + "learning_rate": 6.6129777905297735e-06, + "loss": 0.4807, + "step": 14078 + }, + { + "epoch": 0.41, + "learning_rate": 6.6125274510596705e-06, + "loss": 0.6044, + "step": 14079 + }, + { + "epoch": 0.41, + "learning_rate": 6.612077096989397e-06, + "loss": 0.6573, + "step": 14080 + }, + { + "epoch": 0.41, + "learning_rate": 6.611626728323027e-06, + "loss": 0.8374, + "step": 14081 + }, + { + "epoch": 0.41, + "learning_rate": 6.6111763450646426e-06, + "loss": 0.8381, + "step": 14082 + }, + { + "epoch": 0.41, + "learning_rate": 6.610725947218321e-06, + "loss": 0.7808, + "step": 14083 + }, + { + "epoch": 0.41, + "learning_rate": 6.610275534788138e-06, + "loss": 0.6261, + "step": 14084 + }, + { + "epoch": 0.41, + "learning_rate": 6.609825107778175e-06, + "loss": 0.8616, + "step": 14085 + }, + { + "epoch": 0.41, + "learning_rate": 6.609374666192508e-06, + "loss": 0.4795, + "step": 14086 + }, + { + "epoch": 0.41, + "learning_rate": 6.6089242100352144e-06, + "loss": 0.7639, + "step": 14087 + }, + { + "epoch": 0.41, + "learning_rate": 6.608473739310375e-06, + "loss": 0.7428, + "step": 14088 + }, + { + "epoch": 0.41, + "learning_rate": 6.608023254022067e-06, + "loss": 0.7888, + "step": 14089 + }, + { + "epoch": 0.41, + "learning_rate": 6.6075727541743695e-06, + "loss": 0.7691, + "step": 14090 + }, + { + "epoch": 0.41, + "learning_rate": 6.607122239771362e-06, + "loss": 0.7206, + "step": 14091 + }, + { + "epoch": 0.41, + "learning_rate": 6.606671710817123e-06, + "loss": 0.8734, + "step": 14092 + }, + { + "epoch": 0.41, + "learning_rate": 6.606221167315731e-06, + "loss": 0.7701, + "step": 14093 + }, + { + "epoch": 0.41, + "learning_rate": 6.605770609271268e-06, + "loss": 0.7445, + "step": 14094 + }, + { + "epoch": 0.41, + "learning_rate": 6.60532003668781e-06, + "loss": 0.9287, + "step": 14095 + }, + { + "epoch": 0.41, + "learning_rate": 6.60486944956944e-06, + "loss": 0.7311, + "step": 14096 + }, + { + "epoch": 0.41, + "learning_rate": 6.604418847920235e-06, + "loss": 0.7459, + "step": 14097 + }, + { + "epoch": 0.41, + "learning_rate": 6.603968231744275e-06, + "loss": 0.7499, + "step": 14098 + }, + { + "epoch": 0.41, + "learning_rate": 6.6035176010456425e-06, + "loss": 1.0357, + "step": 14099 + }, + { + "epoch": 0.41, + "learning_rate": 6.603066955828414e-06, + "loss": 0.6458, + "step": 14100 + }, + { + "epoch": 0.41, + "learning_rate": 6.6026162960966735e-06, + "loss": 0.7875, + "step": 14101 + }, + { + "epoch": 0.41, + "learning_rate": 6.6021656218544985e-06, + "loss": 0.9144, + "step": 14102 + }, + { + "epoch": 0.41, + "learning_rate": 6.60171493310597e-06, + "loss": 0.7483, + "step": 14103 + }, + { + "epoch": 0.41, + "learning_rate": 6.60126422985517e-06, + "loss": 0.7508, + "step": 14104 + }, + { + "epoch": 0.41, + "learning_rate": 6.600813512106179e-06, + "loss": 0.8592, + "step": 14105 + }, + { + "epoch": 0.41, + "learning_rate": 6.600362779863077e-06, + "loss": 0.6783, + "step": 14106 + }, + { + "epoch": 0.41, + "learning_rate": 6.599912033129943e-06, + "loss": 0.6322, + "step": 14107 + }, + { + "epoch": 0.41, + "learning_rate": 6.599461271910863e-06, + "loss": 0.649, + "step": 14108 + }, + { + "epoch": 0.41, + "learning_rate": 6.599010496209914e-06, + "loss": 0.7525, + "step": 14109 + }, + { + "epoch": 0.41, + "learning_rate": 6.59855970603118e-06, + "loss": 0.7173, + "step": 14110 + }, + { + "epoch": 0.41, + "learning_rate": 6.598108901378741e-06, + "loss": 0.6685, + "step": 14111 + }, + { + "epoch": 0.41, + "learning_rate": 6.597658082256681e-06, + "loss": 0.7822, + "step": 14112 + }, + { + "epoch": 0.41, + "learning_rate": 6.59720724866908e-06, + "loss": 0.4943, + "step": 14113 + }, + { + "epoch": 0.41, + "learning_rate": 6.596756400620019e-06, + "loss": 0.8839, + "step": 14114 + }, + { + "epoch": 0.41, + "learning_rate": 6.596305538113581e-06, + "loss": 0.4657, + "step": 14115 + }, + { + "epoch": 0.41, + "learning_rate": 6.595854661153849e-06, + "loss": 0.784, + "step": 14116 + }, + { + "epoch": 0.41, + "learning_rate": 6.595403769744906e-06, + "loss": 0.9136, + "step": 14117 + }, + { + "epoch": 0.41, + "learning_rate": 6.5949528638908315e-06, + "loss": 0.9537, + "step": 14118 + }, + { + "epoch": 0.41, + "learning_rate": 6.59450194359571e-06, + "loss": 0.8601, + "step": 14119 + }, + { + "epoch": 0.41, + "learning_rate": 6.594051008863625e-06, + "loss": 0.8357, + "step": 14120 + }, + { + "epoch": 0.41, + "learning_rate": 6.5936000596986575e-06, + "loss": 0.8028, + "step": 14121 + }, + { + "epoch": 0.41, + "learning_rate": 6.593149096104893e-06, + "loss": 0.6326, + "step": 14122 + }, + { + "epoch": 0.41, + "learning_rate": 6.5926981180864115e-06, + "loss": 0.5388, + "step": 14123 + }, + { + "epoch": 0.41, + "learning_rate": 6.592247125647298e-06, + "loss": 0.7483, + "step": 14124 + }, + { + "epoch": 0.41, + "learning_rate": 6.591796118791637e-06, + "loss": 0.5593, + "step": 14125 + }, + { + "epoch": 0.42, + "learning_rate": 6.591345097523509e-06, + "loss": 0.5243, + "step": 14126 + }, + { + "epoch": 0.42, + "learning_rate": 6.590894061847001e-06, + "loss": 0.8874, + "step": 14127 + }, + { + "epoch": 0.42, + "learning_rate": 6.5904430117661946e-06, + "loss": 0.6584, + "step": 14128 + }, + { + "epoch": 0.42, + "learning_rate": 6.589991947285173e-06, + "loss": 0.7231, + "step": 14129 + }, + { + "epoch": 0.42, + "learning_rate": 6.589540868408022e-06, + "loss": 0.6668, + "step": 14130 + }, + { + "epoch": 0.42, + "learning_rate": 6.589089775138825e-06, + "loss": 0.6857, + "step": 14131 + }, + { + "epoch": 0.42, + "learning_rate": 6.5886386674816675e-06, + "loss": 0.7249, + "step": 14132 + }, + { + "epoch": 0.42, + "learning_rate": 6.5881875454406315e-06, + "loss": 0.6519, + "step": 14133 + }, + { + "epoch": 0.42, + "learning_rate": 6.587736409019805e-06, + "loss": 0.8208, + "step": 14134 + }, + { + "epoch": 0.42, + "learning_rate": 6.587285258223268e-06, + "loss": 0.7805, + "step": 14135 + }, + { + "epoch": 0.42, + "learning_rate": 6.58683409305511e-06, + "loss": 0.9827, + "step": 14136 + }, + { + "epoch": 0.42, + "learning_rate": 6.5863829135194145e-06, + "loss": 0.7828, + "step": 14137 + }, + { + "epoch": 0.42, + "learning_rate": 6.585931719620265e-06, + "loss": 0.6267, + "step": 14138 + }, + { + "epoch": 0.42, + "learning_rate": 6.585480511361748e-06, + "loss": 0.7484, + "step": 14139 + }, + { + "epoch": 0.42, + "learning_rate": 6.585029288747947e-06, + "loss": 1.076, + "step": 14140 + }, + { + "epoch": 0.42, + "learning_rate": 6.58457805178295e-06, + "loss": 0.6959, + "step": 14141 + }, + { + "epoch": 0.42, + "learning_rate": 6.584126800470843e-06, + "loss": 0.7985, + "step": 14142 + }, + { + "epoch": 0.42, + "learning_rate": 6.58367553481571e-06, + "loss": 0.6916, + "step": 14143 + }, + { + "epoch": 0.42, + "learning_rate": 6.583224254821636e-06, + "loss": 0.9208, + "step": 14144 + }, + { + "epoch": 0.42, + "learning_rate": 6.582772960492709e-06, + "loss": 0.8192, + "step": 14145 + }, + { + "epoch": 0.42, + "learning_rate": 6.582321651833015e-06, + "loss": 0.7839, + "step": 14146 + }, + { + "epoch": 0.42, + "learning_rate": 6.581870328846638e-06, + "loss": 0.6637, + "step": 14147 + }, + { + "epoch": 0.42, + "learning_rate": 6.581418991537667e-06, + "loss": 0.6962, + "step": 14148 + }, + { + "epoch": 0.42, + "learning_rate": 6.580967639910187e-06, + "loss": 0.7399, + "step": 14149 + }, + { + "epoch": 0.42, + "learning_rate": 6.580516273968285e-06, + "loss": 0.9008, + "step": 14150 + }, + { + "epoch": 0.42, + "learning_rate": 6.580064893716048e-06, + "loss": 0.6947, + "step": 14151 + }, + { + "epoch": 0.42, + "learning_rate": 6.579613499157562e-06, + "loss": 0.4066, + "step": 14152 + }, + { + "epoch": 0.42, + "learning_rate": 6.579162090296916e-06, + "loss": 0.8871, + "step": 14153 + }, + { + "epoch": 0.42, + "learning_rate": 6.578710667138196e-06, + "loss": 0.5001, + "step": 14154 + }, + { + "epoch": 0.42, + "learning_rate": 6.578259229685487e-06, + "loss": 0.7207, + "step": 14155 + }, + { + "epoch": 0.42, + "learning_rate": 6.577807777942882e-06, + "loss": 0.7307, + "step": 14156 + }, + { + "epoch": 0.42, + "learning_rate": 6.577356311914462e-06, + "loss": 0.8271, + "step": 14157 + }, + { + "epoch": 0.42, + "learning_rate": 6.576904831604321e-06, + "loss": 0.5335, + "step": 14158 + }, + { + "epoch": 0.42, + "learning_rate": 6.576453337016539e-06, + "loss": 0.7293, + "step": 14159 + }, + { + "epoch": 0.42, + "learning_rate": 6.576001828155212e-06, + "loss": 0.7812, + "step": 14160 + }, + { + "epoch": 0.42, + "learning_rate": 6.575550305024425e-06, + "loss": 0.8043, + "step": 14161 + }, + { + "epoch": 0.42, + "learning_rate": 6.575098767628265e-06, + "loss": 0.6373, + "step": 14162 + }, + { + "epoch": 0.42, + "learning_rate": 6.5746472159708204e-06, + "loss": 0.8759, + "step": 14163 + }, + { + "epoch": 0.42, + "learning_rate": 6.574195650056181e-06, + "loss": 0.5951, + "step": 14164 + }, + { + "epoch": 0.42, + "learning_rate": 6.573744069888435e-06, + "loss": 0.7636, + "step": 14165 + }, + { + "epoch": 0.42, + "learning_rate": 6.573292475471671e-06, + "loss": 1.0258, + "step": 14166 + }, + { + "epoch": 0.42, + "learning_rate": 6.572840866809978e-06, + "loss": 0.6486, + "step": 14167 + }, + { + "epoch": 0.42, + "learning_rate": 6.5723892439074425e-06, + "loss": 0.8481, + "step": 14168 + }, + { + "epoch": 0.42, + "learning_rate": 6.571937606768156e-06, + "loss": 1.051, + "step": 14169 + }, + { + "epoch": 0.42, + "learning_rate": 6.571485955396209e-06, + "loss": 0.5778, + "step": 14170 + }, + { + "epoch": 0.42, + "learning_rate": 6.571034289795689e-06, + "loss": 0.6468, + "step": 14171 + }, + { + "epoch": 0.42, + "learning_rate": 6.570582609970686e-06, + "loss": 0.6627, + "step": 14172 + }, + { + "epoch": 0.42, + "learning_rate": 6.570130915925288e-06, + "loss": 0.6319, + "step": 14173 + }, + { + "epoch": 0.42, + "learning_rate": 6.569679207663586e-06, + "loss": 0.7107, + "step": 14174 + }, + { + "epoch": 0.42, + "learning_rate": 6.569227485189672e-06, + "loss": 0.7339, + "step": 14175 + }, + { + "epoch": 0.42, + "learning_rate": 6.568775748507633e-06, + "loss": 0.6193, + "step": 14176 + }, + { + "epoch": 0.42, + "learning_rate": 6.5683239976215595e-06, + "loss": 0.6087, + "step": 14177 + }, + { + "epoch": 0.42, + "learning_rate": 6.567872232535544e-06, + "loss": 0.7147, + "step": 14178 + }, + { + "epoch": 0.42, + "learning_rate": 6.567420453253672e-06, + "loss": 1.0932, + "step": 14179 + }, + { + "epoch": 0.42, + "learning_rate": 6.566968659780039e-06, + "loss": 0.9761, + "step": 14180 + }, + { + "epoch": 0.42, + "learning_rate": 6.5665168521187365e-06, + "loss": 0.6316, + "step": 14181 + }, + { + "epoch": 0.42, + "learning_rate": 6.566065030273849e-06, + "loss": 0.8036, + "step": 14182 + }, + { + "epoch": 0.42, + "learning_rate": 6.565613194249473e-06, + "loss": 0.7723, + "step": 14183 + }, + { + "epoch": 0.42, + "learning_rate": 6.565161344049698e-06, + "loss": 0.7822, + "step": 14184 + }, + { + "epoch": 0.42, + "learning_rate": 6.5647094796786125e-06, + "loss": 0.6385, + "step": 14185 + }, + { + "epoch": 0.42, + "learning_rate": 6.564257601140312e-06, + "loss": 0.4818, + "step": 14186 + }, + { + "epoch": 0.42, + "learning_rate": 6.563805708438884e-06, + "loss": 0.6375, + "step": 14187 + }, + { + "epoch": 0.42, + "learning_rate": 6.563353801578424e-06, + "loss": 0.7486, + "step": 14188 + }, + { + "epoch": 0.42, + "learning_rate": 6.56290188056302e-06, + "loss": 0.8462, + "step": 14189 + }, + { + "epoch": 0.42, + "learning_rate": 6.562449945396765e-06, + "loss": 1.0277, + "step": 14190 + }, + { + "epoch": 0.42, + "learning_rate": 6.561997996083752e-06, + "loss": 0.7523, + "step": 14191 + }, + { + "epoch": 0.42, + "learning_rate": 6.561546032628072e-06, + "loss": 0.6329, + "step": 14192 + }, + { + "epoch": 0.42, + "learning_rate": 6.5610940550338185e-06, + "loss": 0.7081, + "step": 14193 + }, + { + "epoch": 0.42, + "learning_rate": 6.560642063305082e-06, + "loss": 0.8546, + "step": 14194 + }, + { + "epoch": 0.42, + "learning_rate": 6.560190057445955e-06, + "loss": 0.9056, + "step": 14195 + }, + { + "epoch": 0.42, + "learning_rate": 6.5597380374605325e-06, + "loss": 0.7436, + "step": 14196 + }, + { + "epoch": 0.42, + "learning_rate": 6.559286003352905e-06, + "loss": 0.7528, + "step": 14197 + }, + { + "epoch": 0.42, + "learning_rate": 6.558833955127165e-06, + "loss": 1.0012, + "step": 14198 + }, + { + "epoch": 0.42, + "learning_rate": 6.558381892787407e-06, + "loss": 0.6284, + "step": 14199 + }, + { + "epoch": 0.42, + "learning_rate": 6.557929816337722e-06, + "loss": 0.6014, + "step": 14200 + }, + { + "epoch": 0.42, + "learning_rate": 6.557477725782205e-06, + "loss": 0.93, + "step": 14201 + }, + { + "epoch": 0.42, + "learning_rate": 6.557025621124951e-06, + "loss": 0.8676, + "step": 14202 + }, + { + "epoch": 0.42, + "learning_rate": 6.556573502370049e-06, + "loss": 0.4825, + "step": 14203 + }, + { + "epoch": 0.42, + "learning_rate": 6.556121369521594e-06, + "loss": 0.7631, + "step": 14204 + }, + { + "epoch": 0.42, + "learning_rate": 6.555669222583683e-06, + "loss": 0.786, + "step": 14205 + }, + { + "epoch": 0.42, + "learning_rate": 6.555217061560406e-06, + "loss": 0.8586, + "step": 14206 + }, + { + "epoch": 0.42, + "learning_rate": 6.554764886455859e-06, + "loss": 0.7013, + "step": 14207 + }, + { + "epoch": 0.42, + "learning_rate": 6.554312697274135e-06, + "loss": 0.6254, + "step": 14208 + }, + { + "epoch": 0.42, + "learning_rate": 6.553860494019329e-06, + "loss": 0.6006, + "step": 14209 + }, + { + "epoch": 0.42, + "learning_rate": 6.553408276695537e-06, + "loss": 0.7637, + "step": 14210 + }, + { + "epoch": 0.42, + "learning_rate": 6.552956045306849e-06, + "loss": 0.6115, + "step": 14211 + }, + { + "epoch": 0.42, + "learning_rate": 6.552503799857363e-06, + "loss": 0.7758, + "step": 14212 + }, + { + "epoch": 0.42, + "learning_rate": 6.552051540351172e-06, + "loss": 0.8911, + "step": 14213 + }, + { + "epoch": 0.42, + "learning_rate": 6.551599266792371e-06, + "loss": 0.7343, + "step": 14214 + }, + { + "epoch": 0.42, + "learning_rate": 6.5511469791850565e-06, + "loss": 0.6826, + "step": 14215 + }, + { + "epoch": 0.42, + "learning_rate": 6.550694677533323e-06, + "loss": 0.4879, + "step": 14216 + }, + { + "epoch": 0.42, + "learning_rate": 6.550242361841266e-06, + "loss": 0.665, + "step": 14217 + }, + { + "epoch": 0.42, + "learning_rate": 6.5497900321129804e-06, + "loss": 0.8731, + "step": 14218 + }, + { + "epoch": 0.42, + "learning_rate": 6.549337688352559e-06, + "loss": 0.8897, + "step": 14219 + }, + { + "epoch": 0.42, + "learning_rate": 6.548885330564103e-06, + "loss": 0.8596, + "step": 14220 + }, + { + "epoch": 0.42, + "learning_rate": 6.548432958751705e-06, + "loss": 0.8599, + "step": 14221 + }, + { + "epoch": 0.42, + "learning_rate": 6.547980572919461e-06, + "loss": 0.8473, + "step": 14222 + }, + { + "epoch": 0.42, + "learning_rate": 6.547528173071466e-06, + "loss": 0.4674, + "step": 14223 + }, + { + "epoch": 0.42, + "learning_rate": 6.547075759211817e-06, + "loss": 0.6895, + "step": 14224 + }, + { + "epoch": 0.42, + "learning_rate": 6.546623331344613e-06, + "loss": 0.9441, + "step": 14225 + }, + { + "epoch": 0.42, + "learning_rate": 6.546170889473946e-06, + "loss": 0.6157, + "step": 14226 + }, + { + "epoch": 0.42, + "learning_rate": 6.5457184336039134e-06, + "loss": 0.7217, + "step": 14227 + }, + { + "epoch": 0.42, + "learning_rate": 6.545265963738615e-06, + "loss": 0.7133, + "step": 14228 + }, + { + "epoch": 0.42, + "learning_rate": 6.544813479882144e-06, + "loss": 0.7591, + "step": 14229 + }, + { + "epoch": 0.42, + "learning_rate": 6.5443609820386e-06, + "loss": 0.7574, + "step": 14230 + }, + { + "epoch": 0.42, + "learning_rate": 6.543908470212077e-06, + "loss": 0.5264, + "step": 14231 + }, + { + "epoch": 0.42, + "learning_rate": 6.5434559444066745e-06, + "loss": 0.6004, + "step": 14232 + }, + { + "epoch": 0.42, + "learning_rate": 6.543003404626489e-06, + "loss": 0.577, + "step": 14233 + }, + { + "epoch": 0.42, + "learning_rate": 6.542550850875618e-06, + "loss": 0.9046, + "step": 14234 + }, + { + "epoch": 0.42, + "learning_rate": 6.542098283158158e-06, + "loss": 0.6278, + "step": 14235 + }, + { + "epoch": 0.42, + "learning_rate": 6.54164570147821e-06, + "loss": 0.6695, + "step": 14236 + }, + { + "epoch": 0.42, + "learning_rate": 6.541193105839867e-06, + "loss": 0.7952, + "step": 14237 + }, + { + "epoch": 0.42, + "learning_rate": 6.54074049624723e-06, + "loss": 0.7351, + "step": 14238 + }, + { + "epoch": 0.42, + "learning_rate": 6.540287872704396e-06, + "loss": 0.5022, + "step": 14239 + }, + { + "epoch": 0.42, + "learning_rate": 6.5398352352154645e-06, + "loss": 0.7073, + "step": 14240 + }, + { + "epoch": 0.42, + "learning_rate": 6.5393825837845326e-06, + "loss": 0.5814, + "step": 14241 + }, + { + "epoch": 0.42, + "learning_rate": 6.538929918415699e-06, + "loss": 0.6504, + "step": 14242 + }, + { + "epoch": 0.42, + "learning_rate": 6.5384772391130606e-06, + "loss": 0.8248, + "step": 14243 + }, + { + "epoch": 0.42, + "learning_rate": 6.538024545880718e-06, + "loss": 0.7068, + "step": 14244 + }, + { + "epoch": 0.42, + "learning_rate": 6.53757183872277e-06, + "loss": 0.9467, + "step": 14245 + }, + { + "epoch": 0.42, + "learning_rate": 6.537119117643316e-06, + "loss": 0.6971, + "step": 14246 + }, + { + "epoch": 0.42, + "learning_rate": 6.536666382646453e-06, + "loss": 1.0569, + "step": 14247 + }, + { + "epoch": 0.42, + "learning_rate": 6.536213633736282e-06, + "loss": 0.6975, + "step": 14248 + }, + { + "epoch": 0.42, + "learning_rate": 6.5357608709168995e-06, + "loss": 0.7367, + "step": 14249 + }, + { + "epoch": 0.42, + "learning_rate": 6.5353080941924085e-06, + "loss": 0.6984, + "step": 14250 + }, + { + "epoch": 0.42, + "learning_rate": 6.534855303566907e-06, + "loss": 0.7069, + "step": 14251 + }, + { + "epoch": 0.42, + "learning_rate": 6.534402499044494e-06, + "loss": 0.5344, + "step": 14252 + }, + { + "epoch": 0.42, + "learning_rate": 6.53394968062927e-06, + "loss": 0.3979, + "step": 14253 + }, + { + "epoch": 0.42, + "learning_rate": 6.533496848325335e-06, + "loss": 0.8239, + "step": 14254 + }, + { + "epoch": 0.42, + "learning_rate": 6.533044002136788e-06, + "loss": 0.7168, + "step": 14255 + }, + { + "epoch": 0.42, + "learning_rate": 6.532591142067732e-06, + "loss": 0.5503, + "step": 14256 + }, + { + "epoch": 0.42, + "learning_rate": 6.532138268122264e-06, + "loss": 0.9514, + "step": 14257 + }, + { + "epoch": 0.42, + "learning_rate": 6.531685380304486e-06, + "loss": 0.6493, + "step": 14258 + }, + { + "epoch": 0.42, + "learning_rate": 6.531232478618498e-06, + "loss": 0.7427, + "step": 14259 + }, + { + "epoch": 0.42, + "learning_rate": 6.530779563068401e-06, + "loss": 0.6737, + "step": 14260 + }, + { + "epoch": 0.42, + "learning_rate": 6.530326633658296e-06, + "loss": 0.7372, + "step": 14261 + }, + { + "epoch": 0.42, + "learning_rate": 6.529873690392283e-06, + "loss": 0.6876, + "step": 14262 + }, + { + "epoch": 0.42, + "learning_rate": 6.529420733274464e-06, + "loss": 0.8695, + "step": 14263 + }, + { + "epoch": 0.42, + "learning_rate": 6.528967762308939e-06, + "loss": 0.7159, + "step": 14264 + }, + { + "epoch": 0.42, + "learning_rate": 6.528514777499813e-06, + "loss": 0.8132, + "step": 14265 + }, + { + "epoch": 0.42, + "learning_rate": 6.528061778851184e-06, + "loss": 0.5541, + "step": 14266 + }, + { + "epoch": 0.42, + "learning_rate": 6.527608766367153e-06, + "loss": 0.5892, + "step": 14267 + }, + { + "epoch": 0.42, + "learning_rate": 6.527155740051822e-06, + "loss": 0.6157, + "step": 14268 + }, + { + "epoch": 0.42, + "learning_rate": 6.526702699909295e-06, + "loss": 1.0078, + "step": 14269 + }, + { + "epoch": 0.42, + "learning_rate": 6.526249645943672e-06, + "loss": 0.8027, + "step": 14270 + }, + { + "epoch": 0.42, + "learning_rate": 6.525796578159056e-06, + "loss": 0.7897, + "step": 14271 + }, + { + "epoch": 0.42, + "learning_rate": 6.5253434965595485e-06, + "loss": 0.4985, + "step": 14272 + }, + { + "epoch": 0.42, + "learning_rate": 6.524890401149252e-06, + "loss": 0.6729, + "step": 14273 + }, + { + "epoch": 0.42, + "learning_rate": 6.524437291932269e-06, + "loss": 0.6675, + "step": 14274 + }, + { + "epoch": 0.42, + "learning_rate": 6.5239841689127024e-06, + "loss": 0.8215, + "step": 14275 + }, + { + "epoch": 0.42, + "learning_rate": 6.5235310320946545e-06, + "loss": 0.7484, + "step": 14276 + }, + { + "epoch": 0.42, + "learning_rate": 6.5230778814822285e-06, + "loss": 0.844, + "step": 14277 + }, + { + "epoch": 0.42, + "learning_rate": 6.522624717079524e-06, + "loss": 0.7683, + "step": 14278 + }, + { + "epoch": 0.42, + "learning_rate": 6.52217153889065e-06, + "loss": 0.8002, + "step": 14279 + }, + { + "epoch": 0.42, + "learning_rate": 6.521718346919707e-06, + "loss": 0.7306, + "step": 14280 + }, + { + "epoch": 0.42, + "learning_rate": 6.521265141170796e-06, + "loss": 0.6993, + "step": 14281 + }, + { + "epoch": 0.42, + "learning_rate": 6.520811921648024e-06, + "loss": 0.8395, + "step": 14282 + }, + { + "epoch": 0.42, + "learning_rate": 6.520358688355491e-06, + "loss": 0.6989, + "step": 14283 + }, + { + "epoch": 0.42, + "learning_rate": 6.519905441297304e-06, + "loss": 0.8785, + "step": 14284 + }, + { + "epoch": 0.42, + "learning_rate": 6.519452180477565e-06, + "loss": 0.888, + "step": 14285 + }, + { + "epoch": 0.42, + "learning_rate": 6.5189989059003786e-06, + "loss": 0.7574, + "step": 14286 + }, + { + "epoch": 0.42, + "learning_rate": 6.518545617569849e-06, + "loss": 0.7572, + "step": 14287 + }, + { + "epoch": 0.42, + "learning_rate": 6.5180923154900785e-06, + "loss": 0.6199, + "step": 14288 + }, + { + "epoch": 0.42, + "learning_rate": 6.517638999665175e-06, + "loss": 0.9378, + "step": 14289 + }, + { + "epoch": 0.42, + "learning_rate": 6.51718567009924e-06, + "loss": 0.6214, + "step": 14290 + }, + { + "epoch": 0.42, + "learning_rate": 6.516732326796378e-06, + "loss": 0.6935, + "step": 14291 + }, + { + "epoch": 0.42, + "learning_rate": 6.516278969760693e-06, + "loss": 0.6832, + "step": 14292 + }, + { + "epoch": 0.42, + "learning_rate": 6.515825598996294e-06, + "loss": 0.4196, + "step": 14293 + }, + { + "epoch": 0.42, + "learning_rate": 6.515372214507282e-06, + "loss": 0.6131, + "step": 14294 + }, + { + "epoch": 0.42, + "learning_rate": 6.514918816297763e-06, + "loss": 0.6515, + "step": 14295 + }, + { + "epoch": 0.42, + "learning_rate": 6.5144654043718436e-06, + "loss": 0.7797, + "step": 14296 + }, + { + "epoch": 0.42, + "learning_rate": 6.514011978733625e-06, + "loss": 0.679, + "step": 14297 + }, + { + "epoch": 0.42, + "learning_rate": 6.513558539387218e-06, + "loss": 0.8376, + "step": 14298 + }, + { + "epoch": 0.42, + "learning_rate": 6.513105086336725e-06, + "loss": 0.738, + "step": 14299 + }, + { + "epoch": 0.42, + "learning_rate": 6.512651619586252e-06, + "loss": 0.7415, + "step": 14300 + }, + { + "epoch": 0.42, + "learning_rate": 6.5121981391399055e-06, + "loss": 0.8008, + "step": 14301 + }, + { + "epoch": 0.42, + "learning_rate": 6.5117446450017905e-06, + "loss": 0.6375, + "step": 14302 + }, + { + "epoch": 0.42, + "learning_rate": 6.5112911371760145e-06, + "loss": 0.4661, + "step": 14303 + }, + { + "epoch": 0.42, + "learning_rate": 6.510837615666682e-06, + "loss": 0.5658, + "step": 14304 + }, + { + "epoch": 0.42, + "learning_rate": 6.5103840804779e-06, + "loss": 0.8227, + "step": 14305 + }, + { + "epoch": 0.42, + "learning_rate": 6.509930531613775e-06, + "loss": 0.5882, + "step": 14306 + }, + { + "epoch": 0.42, + "learning_rate": 6.509476969078413e-06, + "loss": 0.7995, + "step": 14307 + }, + { + "epoch": 0.42, + "learning_rate": 6.509023392875922e-06, + "loss": 0.6309, + "step": 14308 + }, + { + "epoch": 0.42, + "learning_rate": 6.508569803010406e-06, + "loss": 0.805, + "step": 14309 + }, + { + "epoch": 0.42, + "learning_rate": 6.508116199485975e-06, + "loss": 0.5744, + "step": 14310 + }, + { + "epoch": 0.42, + "learning_rate": 6.507662582306736e-06, + "loss": 1.02, + "step": 14311 + }, + { + "epoch": 0.42, + "learning_rate": 6.507208951476791e-06, + "loss": 0.7979, + "step": 14312 + }, + { + "epoch": 0.42, + "learning_rate": 6.506755307000254e-06, + "loss": 0.7364, + "step": 14313 + }, + { + "epoch": 0.42, + "learning_rate": 6.506301648881229e-06, + "loss": 0.6538, + "step": 14314 + }, + { + "epoch": 0.42, + "learning_rate": 6.505847977123825e-06, + "loss": 0.7281, + "step": 14315 + }, + { + "epoch": 0.42, + "learning_rate": 6.505394291732147e-06, + "loss": 0.8728, + "step": 14316 + }, + { + "epoch": 0.42, + "learning_rate": 6.504940592710305e-06, + "loss": 0.9004, + "step": 14317 + }, + { + "epoch": 0.42, + "learning_rate": 6.504486880062406e-06, + "loss": 0.6744, + "step": 14318 + }, + { + "epoch": 0.42, + "learning_rate": 6.50403315379256e-06, + "loss": 1.0352, + "step": 14319 + }, + { + "epoch": 0.42, + "learning_rate": 6.503579413904872e-06, + "loss": 0.6945, + "step": 14320 + }, + { + "epoch": 0.42, + "learning_rate": 6.503125660403452e-06, + "loss": 0.563, + "step": 14321 + }, + { + "epoch": 0.42, + "learning_rate": 6.502671893292407e-06, + "loss": 0.8202, + "step": 14322 + }, + { + "epoch": 0.42, + "learning_rate": 6.502218112575848e-06, + "loss": 0.4833, + "step": 14323 + }, + { + "epoch": 0.42, + "learning_rate": 6.501764318257884e-06, + "loss": 0.5002, + "step": 14324 + }, + { + "epoch": 0.42, + "learning_rate": 6.50131051034262e-06, + "loss": 0.8439, + "step": 14325 + }, + { + "epoch": 0.42, + "learning_rate": 6.500856688834168e-06, + "loss": 0.7308, + "step": 14326 + }, + { + "epoch": 0.42, + "learning_rate": 6.500402853736635e-06, + "loss": 0.7994, + "step": 14327 + }, + { + "epoch": 0.42, + "learning_rate": 6.499949005054131e-06, + "loss": 0.6009, + "step": 14328 + }, + { + "epoch": 0.42, + "learning_rate": 6.499495142790766e-06, + "loss": 0.7016, + "step": 14329 + }, + { + "epoch": 0.42, + "learning_rate": 6.4990412669506475e-06, + "loss": 0.5272, + "step": 14330 + }, + { + "epoch": 0.42, + "learning_rate": 6.498587377537887e-06, + "loss": 0.6325, + "step": 14331 + }, + { + "epoch": 0.42, + "learning_rate": 6.498133474556592e-06, + "loss": 0.6646, + "step": 14332 + }, + { + "epoch": 0.42, + "learning_rate": 6.4976795580108744e-06, + "loss": 0.6615, + "step": 14333 + }, + { + "epoch": 0.42, + "learning_rate": 6.497225627904844e-06, + "loss": 0.5667, + "step": 14334 + }, + { + "epoch": 0.42, + "learning_rate": 6.4967716842426084e-06, + "loss": 0.6448, + "step": 14335 + }, + { + "epoch": 0.42, + "learning_rate": 6.49631772702828e-06, + "loss": 0.81, + "step": 14336 + }, + { + "epoch": 0.42, + "learning_rate": 6.495863756265968e-06, + "loss": 0.7714, + "step": 14337 + }, + { + "epoch": 0.42, + "learning_rate": 6.495409771959783e-06, + "loss": 0.7369, + "step": 14338 + }, + { + "epoch": 0.42, + "learning_rate": 6.494955774113836e-06, + "loss": 0.7979, + "step": 14339 + }, + { + "epoch": 0.42, + "learning_rate": 6.494501762732237e-06, + "loss": 0.754, + "step": 14340 + }, + { + "epoch": 0.42, + "learning_rate": 6.494047737819096e-06, + "loss": 0.5838, + "step": 14341 + }, + { + "epoch": 0.42, + "learning_rate": 6.493593699378524e-06, + "loss": 0.6468, + "step": 14342 + }, + { + "epoch": 0.42, + "learning_rate": 6.4931396474146346e-06, + "loss": 0.5833, + "step": 14343 + }, + { + "epoch": 0.42, + "learning_rate": 6.492685581931536e-06, + "loss": 0.8348, + "step": 14344 + }, + { + "epoch": 0.42, + "learning_rate": 6.492231502933339e-06, + "loss": 0.8359, + "step": 14345 + }, + { + "epoch": 0.42, + "learning_rate": 6.491777410424158e-06, + "loss": 0.7769, + "step": 14346 + }, + { + "epoch": 0.42, + "learning_rate": 6.491323304408103e-06, + "loss": 0.7265, + "step": 14347 + }, + { + "epoch": 0.42, + "learning_rate": 6.490869184889284e-06, + "loss": 0.736, + "step": 14348 + }, + { + "epoch": 0.42, + "learning_rate": 6.490415051871815e-06, + "loss": 0.8434, + "step": 14349 + }, + { + "epoch": 0.42, + "learning_rate": 6.489960905359806e-06, + "loss": 0.7859, + "step": 14350 + }, + { + "epoch": 0.42, + "learning_rate": 6.489506745357369e-06, + "loss": 0.6623, + "step": 14351 + }, + { + "epoch": 0.42, + "learning_rate": 6.489052571868617e-06, + "loss": 0.6674, + "step": 14352 + }, + { + "epoch": 0.42, + "learning_rate": 6.488598384897662e-06, + "loss": 0.6834, + "step": 14353 + }, + { + "epoch": 0.42, + "learning_rate": 6.488144184448617e-06, + "loss": 0.8904, + "step": 14354 + }, + { + "epoch": 0.42, + "learning_rate": 6.487689970525593e-06, + "loss": 0.8019, + "step": 14355 + }, + { + "epoch": 0.42, + "learning_rate": 6.487235743132703e-06, + "loss": 0.821, + "step": 14356 + }, + { + "epoch": 0.42, + "learning_rate": 6.4867815022740595e-06, + "loss": 0.5769, + "step": 14357 + }, + { + "epoch": 0.42, + "learning_rate": 6.486327247953776e-06, + "loss": 0.7228, + "step": 14358 + }, + { + "epoch": 0.42, + "learning_rate": 6.485872980175967e-06, + "loss": 0.8749, + "step": 14359 + }, + { + "epoch": 0.42, + "learning_rate": 6.485418698944742e-06, + "loss": 0.7476, + "step": 14360 + }, + { + "epoch": 0.42, + "learning_rate": 6.484964404264215e-06, + "loss": 0.6181, + "step": 14361 + }, + { + "epoch": 0.42, + "learning_rate": 6.4845100961385014e-06, + "loss": 0.7138, + "step": 14362 + }, + { + "epoch": 0.42, + "learning_rate": 6.484055774571713e-06, + "loss": 0.9726, + "step": 14363 + }, + { + "epoch": 0.42, + "learning_rate": 6.4836014395679634e-06, + "loss": 0.755, + "step": 14364 + }, + { + "epoch": 0.42, + "learning_rate": 6.483147091131367e-06, + "loss": 0.5505, + "step": 14365 + }, + { + "epoch": 0.42, + "learning_rate": 6.482692729266036e-06, + "loss": 0.6373, + "step": 14366 + }, + { + "epoch": 0.42, + "learning_rate": 6.482238353976084e-06, + "loss": 0.6295, + "step": 14367 + }, + { + "epoch": 0.42, + "learning_rate": 6.48178396526563e-06, + "loss": 0.7297, + "step": 14368 + }, + { + "epoch": 0.42, + "learning_rate": 6.481329563138783e-06, + "loss": 0.6034, + "step": 14369 + }, + { + "epoch": 0.42, + "learning_rate": 6.480875147599658e-06, + "loss": 0.427, + "step": 14370 + }, + { + "epoch": 0.42, + "learning_rate": 6.48042071865237e-06, + "loss": 0.7219, + "step": 14371 + }, + { + "epoch": 0.42, + "learning_rate": 6.479966276301035e-06, + "loss": 0.923, + "step": 14372 + }, + { + "epoch": 0.42, + "learning_rate": 6.4795118205497655e-06, + "loss": 0.7901, + "step": 14373 + }, + { + "epoch": 0.42, + "learning_rate": 6.479057351402676e-06, + "loss": 0.696, + "step": 14374 + }, + { + "epoch": 0.42, + "learning_rate": 6.478602868863884e-06, + "loss": 0.8309, + "step": 14375 + }, + { + "epoch": 0.42, + "learning_rate": 6.478148372937501e-06, + "loss": 0.8318, + "step": 14376 + }, + { + "epoch": 0.42, + "learning_rate": 6.477693863627644e-06, + "loss": 0.7611, + "step": 14377 + }, + { + "epoch": 0.42, + "learning_rate": 6.477239340938429e-06, + "loss": 0.7552, + "step": 14378 + }, + { + "epoch": 0.42, + "learning_rate": 6.476784804873971e-06, + "loss": 0.6505, + "step": 14379 + }, + { + "epoch": 0.42, + "learning_rate": 6.476330255438385e-06, + "loss": 0.8417, + "step": 14380 + }, + { + "epoch": 0.42, + "learning_rate": 6.475875692635784e-06, + "loss": 0.7837, + "step": 14381 + }, + { + "epoch": 0.42, + "learning_rate": 6.475421116470289e-06, + "loss": 0.8116, + "step": 14382 + }, + { + "epoch": 0.42, + "learning_rate": 6.474966526946012e-06, + "loss": 0.8661, + "step": 14383 + }, + { + "epoch": 0.42, + "learning_rate": 6.47451192406707e-06, + "loss": 0.6851, + "step": 14384 + }, + { + "epoch": 0.42, + "learning_rate": 6.474057307837579e-06, + "loss": 0.6308, + "step": 14385 + }, + { + "epoch": 0.42, + "learning_rate": 6.473602678261654e-06, + "loss": 0.8862, + "step": 14386 + }, + { + "epoch": 0.42, + "learning_rate": 6.473148035343415e-06, + "loss": 0.7381, + "step": 14387 + }, + { + "epoch": 0.42, + "learning_rate": 6.472693379086975e-06, + "loss": 0.7508, + "step": 14388 + }, + { + "epoch": 0.42, + "learning_rate": 6.472238709496452e-06, + "loss": 0.5938, + "step": 14389 + }, + { + "epoch": 0.42, + "learning_rate": 6.471784026575961e-06, + "loss": 0.8485, + "step": 14390 + }, + { + "epoch": 0.42, + "learning_rate": 6.471329330329622e-06, + "loss": 0.6441, + "step": 14391 + }, + { + "epoch": 0.42, + "learning_rate": 6.4708746207615495e-06, + "loss": 0.6885, + "step": 14392 + }, + { + "epoch": 0.42, + "learning_rate": 6.4704198978758604e-06, + "loss": 0.8106, + "step": 14393 + }, + { + "epoch": 0.42, + "learning_rate": 6.469965161676673e-06, + "loss": 0.8538, + "step": 14394 + }, + { + "epoch": 0.42, + "learning_rate": 6.469510412168103e-06, + "loss": 0.7851, + "step": 14395 + }, + { + "epoch": 0.42, + "learning_rate": 6.469055649354268e-06, + "loss": 0.8445, + "step": 14396 + }, + { + "epoch": 0.42, + "learning_rate": 6.468600873239288e-06, + "loss": 0.6714, + "step": 14397 + }, + { + "epoch": 0.42, + "learning_rate": 6.468146083827279e-06, + "loss": 0.5218, + "step": 14398 + }, + { + "epoch": 0.42, + "learning_rate": 6.467691281122359e-06, + "loss": 0.5933, + "step": 14399 + }, + { + "epoch": 0.42, + "learning_rate": 6.467236465128646e-06, + "loss": 0.7183, + "step": 14400 + }, + { + "epoch": 0.42, + "learning_rate": 6.466781635850256e-06, + "loss": 0.6142, + "step": 14401 + }, + { + "epoch": 0.42, + "learning_rate": 6.4663267932913085e-06, + "loss": 0.716, + "step": 14402 + }, + { + "epoch": 0.42, + "learning_rate": 6.465871937455924e-06, + "loss": 0.6647, + "step": 14403 + }, + { + "epoch": 0.42, + "learning_rate": 6.465417068348219e-06, + "loss": 1.2622, + "step": 14404 + }, + { + "epoch": 0.42, + "learning_rate": 6.46496218597231e-06, + "loss": 0.6577, + "step": 14405 + }, + { + "epoch": 0.42, + "learning_rate": 6.464507290332318e-06, + "loss": 0.6665, + "step": 14406 + }, + { + "epoch": 0.42, + "learning_rate": 6.464052381432362e-06, + "loss": 0.7446, + "step": 14407 + }, + { + "epoch": 0.42, + "learning_rate": 6.463597459276559e-06, + "loss": 0.5177, + "step": 14408 + }, + { + "epoch": 0.42, + "learning_rate": 6.463142523869031e-06, + "loss": 0.6744, + "step": 14409 + }, + { + "epoch": 0.42, + "learning_rate": 6.462687575213893e-06, + "loss": 0.7857, + "step": 14410 + }, + { + "epoch": 0.42, + "learning_rate": 6.462232613315268e-06, + "loss": 0.4831, + "step": 14411 + }, + { + "epoch": 0.42, + "learning_rate": 6.461777638177272e-06, + "loss": 0.5948, + "step": 14412 + }, + { + "epoch": 0.42, + "learning_rate": 6.461322649804027e-06, + "loss": 0.675, + "step": 14413 + }, + { + "epoch": 0.42, + "learning_rate": 6.460867648199651e-06, + "loss": 0.7309, + "step": 14414 + }, + { + "epoch": 0.42, + "learning_rate": 6.460412633368266e-06, + "loss": 0.9777, + "step": 14415 + }, + { + "epoch": 0.42, + "learning_rate": 6.459957605313988e-06, + "loss": 0.9481, + "step": 14416 + }, + { + "epoch": 0.42, + "learning_rate": 6.459502564040939e-06, + "loss": 0.5905, + "step": 14417 + }, + { + "epoch": 0.42, + "learning_rate": 6.45904750955324e-06, + "loss": 0.705, + "step": 14418 + }, + { + "epoch": 0.42, + "learning_rate": 6.458592441855011e-06, + "loss": 0.8433, + "step": 14419 + }, + { + "epoch": 0.42, + "learning_rate": 6.458137360950369e-06, + "loss": 0.8488, + "step": 14420 + }, + { + "epoch": 0.42, + "learning_rate": 6.457682266843439e-06, + "loss": 0.7611, + "step": 14421 + }, + { + "epoch": 0.42, + "learning_rate": 6.45722715953834e-06, + "loss": 0.8824, + "step": 14422 + }, + { + "epoch": 0.42, + "learning_rate": 6.456772039039189e-06, + "loss": 0.5825, + "step": 14423 + }, + { + "epoch": 0.42, + "learning_rate": 6.456316905350113e-06, + "loss": 0.8797, + "step": 14424 + }, + { + "epoch": 0.42, + "learning_rate": 6.455861758475228e-06, + "loss": 1.0636, + "step": 14425 + }, + { + "epoch": 0.42, + "learning_rate": 6.4554065984186575e-06, + "loss": 0.9314, + "step": 14426 + }, + { + "epoch": 0.42, + "learning_rate": 6.454951425184521e-06, + "loss": 0.6864, + "step": 14427 + }, + { + "epoch": 0.42, + "learning_rate": 6.454496238776942e-06, + "loss": 0.8411, + "step": 14428 + }, + { + "epoch": 0.42, + "learning_rate": 6.454041039200039e-06, + "loss": 0.7239, + "step": 14429 + }, + { + "epoch": 0.42, + "learning_rate": 6.453585826457937e-06, + "loss": 0.7666, + "step": 14430 + }, + { + "epoch": 0.42, + "learning_rate": 6.453130600554753e-06, + "loss": 0.6869, + "step": 14431 + }, + { + "epoch": 0.42, + "learning_rate": 6.452675361494612e-06, + "loss": 0.68, + "step": 14432 + }, + { + "epoch": 0.42, + "learning_rate": 6.452220109281636e-06, + "loss": 0.5977, + "step": 14433 + }, + { + "epoch": 0.42, + "learning_rate": 6.451764843919946e-06, + "loss": 0.6538, + "step": 14434 + }, + { + "epoch": 0.42, + "learning_rate": 6.4513095654136615e-06, + "loss": 0.8449, + "step": 14435 + }, + { + "epoch": 0.42, + "learning_rate": 6.450854273766909e-06, + "loss": 0.7437, + "step": 14436 + }, + { + "epoch": 0.42, + "learning_rate": 6.45039896898381e-06, + "loss": 0.6767, + "step": 14437 + }, + { + "epoch": 0.42, + "learning_rate": 6.449943651068484e-06, + "loss": 0.4759, + "step": 14438 + }, + { + "epoch": 0.42, + "learning_rate": 6.449488320025057e-06, + "loss": 0.5915, + "step": 14439 + }, + { + "epoch": 0.42, + "learning_rate": 6.449032975857648e-06, + "loss": 0.6966, + "step": 14440 + }, + { + "epoch": 0.42, + "learning_rate": 6.4485776185703855e-06, + "loss": 0.7393, + "step": 14441 + }, + { + "epoch": 0.42, + "learning_rate": 6.448122248167387e-06, + "loss": 0.902, + "step": 14442 + }, + { + "epoch": 0.42, + "learning_rate": 6.447666864652777e-06, + "loss": 0.8014, + "step": 14443 + }, + { + "epoch": 0.42, + "learning_rate": 6.44721146803068e-06, + "loss": 0.8543, + "step": 14444 + }, + { + "epoch": 0.42, + "learning_rate": 6.446756058305217e-06, + "loss": 0.6242, + "step": 14445 + }, + { + "epoch": 0.42, + "learning_rate": 6.446300635480514e-06, + "loss": 0.677, + "step": 14446 + }, + { + "epoch": 0.42, + "learning_rate": 6.445845199560692e-06, + "loss": 0.6592, + "step": 14447 + }, + { + "epoch": 0.42, + "learning_rate": 6.445389750549877e-06, + "loss": 0.6068, + "step": 14448 + }, + { + "epoch": 0.42, + "learning_rate": 6.444934288452192e-06, + "loss": 0.7722, + "step": 14449 + }, + { + "epoch": 0.42, + "learning_rate": 6.444478813271759e-06, + "loss": 0.6006, + "step": 14450 + }, + { + "epoch": 0.42, + "learning_rate": 6.444023325012704e-06, + "loss": 0.788, + "step": 14451 + }, + { + "epoch": 0.42, + "learning_rate": 6.44356782367915e-06, + "loss": 0.7476, + "step": 14452 + }, + { + "epoch": 0.42, + "learning_rate": 6.443112309275221e-06, + "loss": 0.6372, + "step": 14453 + }, + { + "epoch": 0.42, + "learning_rate": 6.442656781805044e-06, + "loss": 0.5964, + "step": 14454 + }, + { + "epoch": 0.42, + "learning_rate": 6.442201241272738e-06, + "loss": 0.7845, + "step": 14455 + }, + { + "epoch": 0.42, + "learning_rate": 6.441745687682435e-06, + "loss": 0.6414, + "step": 14456 + }, + { + "epoch": 0.42, + "learning_rate": 6.4412901210382525e-06, + "loss": 0.4736, + "step": 14457 + }, + { + "epoch": 0.42, + "learning_rate": 6.440834541344321e-06, + "loss": 0.6379, + "step": 14458 + }, + { + "epoch": 0.42, + "learning_rate": 6.440378948604762e-06, + "loss": 1.0004, + "step": 14459 + }, + { + "epoch": 0.42, + "learning_rate": 6.4399233428237e-06, + "loss": 0.6782, + "step": 14460 + }, + { + "epoch": 0.42, + "learning_rate": 6.439467724005262e-06, + "loss": 0.8339, + "step": 14461 + }, + { + "epoch": 0.42, + "learning_rate": 6.439012092153574e-06, + "loss": 0.8287, + "step": 14462 + }, + { + "epoch": 0.42, + "learning_rate": 6.438556447272759e-06, + "loss": 0.6671, + "step": 14463 + }, + { + "epoch": 0.42, + "learning_rate": 6.438100789366945e-06, + "loss": 0.6116, + "step": 14464 + }, + { + "epoch": 0.42, + "learning_rate": 6.437645118440256e-06, + "loss": 0.6852, + "step": 14465 + }, + { + "epoch": 0.42, + "learning_rate": 6.437189434496817e-06, + "loss": 0.5897, + "step": 14466 + }, + { + "epoch": 0.43, + "learning_rate": 6.436733737540756e-06, + "loss": 0.6662, + "step": 14467 + }, + { + "epoch": 0.43, + "learning_rate": 6.436278027576198e-06, + "loss": 0.7559, + "step": 14468 + }, + { + "epoch": 0.43, + "learning_rate": 6.435822304607269e-06, + "loss": 0.6412, + "step": 14469 + }, + { + "epoch": 0.43, + "learning_rate": 6.4353665686380954e-06, + "loss": 0.8148, + "step": 14470 + }, + { + "epoch": 0.43, + "learning_rate": 6.434910819672803e-06, + "loss": 0.5021, + "step": 14471 + }, + { + "epoch": 0.43, + "learning_rate": 6.434455057715518e-06, + "loss": 0.6295, + "step": 14472 + }, + { + "epoch": 0.43, + "learning_rate": 6.433999282770369e-06, + "loss": 0.7818, + "step": 14473 + }, + { + "epoch": 0.43, + "learning_rate": 6.433543494841481e-06, + "loss": 0.733, + "step": 14474 + }, + { + "epoch": 0.43, + "learning_rate": 6.433087693932979e-06, + "loss": 0.8383, + "step": 14475 + }, + { + "epoch": 0.43, + "learning_rate": 6.432631880048994e-06, + "loss": 0.7482, + "step": 14476 + }, + { + "epoch": 0.43, + "learning_rate": 6.432176053193651e-06, + "loss": 0.8012, + "step": 14477 + }, + { + "epoch": 0.43, + "learning_rate": 6.431720213371077e-06, + "loss": 0.8579, + "step": 14478 + }, + { + "epoch": 0.43, + "learning_rate": 6.431264360585399e-06, + "loss": 0.7945, + "step": 14479 + }, + { + "epoch": 0.43, + "learning_rate": 6.430808494840744e-06, + "loss": 0.7702, + "step": 14480 + }, + { + "epoch": 0.43, + "learning_rate": 6.430352616141242e-06, + "loss": 0.8717, + "step": 14481 + }, + { + "epoch": 0.43, + "learning_rate": 6.429896724491018e-06, + "loss": 0.6956, + "step": 14482 + }, + { + "epoch": 0.43, + "learning_rate": 6.429440819894201e-06, + "loss": 0.8168, + "step": 14483 + }, + { + "epoch": 0.43, + "learning_rate": 6.428984902354918e-06, + "loss": 0.605, + "step": 14484 + }, + { + "epoch": 0.43, + "learning_rate": 6.428528971877299e-06, + "loss": 0.7097, + "step": 14485 + }, + { + "epoch": 0.43, + "learning_rate": 6.4280730284654695e-06, + "loss": 0.8279, + "step": 14486 + }, + { + "epoch": 0.43, + "learning_rate": 6.427617072123559e-06, + "loss": 0.8997, + "step": 14487 + }, + { + "epoch": 0.43, + "learning_rate": 6.427161102855697e-06, + "loss": 0.5947, + "step": 14488 + }, + { + "epoch": 0.43, + "learning_rate": 6.426705120666009e-06, + "loss": 0.6867, + "step": 14489 + }, + { + "epoch": 0.43, + "learning_rate": 6.4262491255586265e-06, + "loss": 0.7794, + "step": 14490 + }, + { + "epoch": 0.43, + "learning_rate": 6.425793117537676e-06, + "loss": 0.791, + "step": 14491 + }, + { + "epoch": 0.43, + "learning_rate": 6.425337096607288e-06, + "loss": 0.8456, + "step": 14492 + }, + { + "epoch": 0.43, + "learning_rate": 6.42488106277159e-06, + "loss": 0.8249, + "step": 14493 + }, + { + "epoch": 0.43, + "learning_rate": 6.42442501603471e-06, + "loss": 0.7246, + "step": 14494 + }, + { + "epoch": 0.43, + "learning_rate": 6.4239689564007815e-06, + "loss": 0.778, + "step": 14495 + }, + { + "epoch": 0.43, + "learning_rate": 6.4235128838739295e-06, + "loss": 0.7325, + "step": 14496 + }, + { + "epoch": 0.43, + "learning_rate": 6.423056798458284e-06, + "loss": 0.6113, + "step": 14497 + }, + { + "epoch": 0.43, + "learning_rate": 6.422600700157978e-06, + "loss": 0.7774, + "step": 14498 + }, + { + "epoch": 0.43, + "learning_rate": 6.422144588977136e-06, + "loss": 0.6004, + "step": 14499 + }, + { + "epoch": 0.43, + "learning_rate": 6.421688464919892e-06, + "loss": 0.798, + "step": 14500 + }, + { + "epoch": 0.43, + "learning_rate": 6.4212323279903735e-06, + "loss": 0.6145, + "step": 14501 + }, + { + "epoch": 0.43, + "learning_rate": 6.420776178192711e-06, + "loss": 0.769, + "step": 14502 + }, + { + "epoch": 0.43, + "learning_rate": 6.420320015531034e-06, + "loss": 0.9198, + "step": 14503 + }, + { + "epoch": 0.43, + "learning_rate": 6.4198638400094735e-06, + "loss": 0.6259, + "step": 14504 + }, + { + "epoch": 0.43, + "learning_rate": 6.41940765163216e-06, + "loss": 0.779, + "step": 14505 + }, + { + "epoch": 0.43, + "learning_rate": 6.418951450403224e-06, + "loss": 0.8704, + "step": 14506 + }, + { + "epoch": 0.43, + "learning_rate": 6.418495236326795e-06, + "loss": 0.7891, + "step": 14507 + }, + { + "epoch": 0.43, + "learning_rate": 6.418039009407004e-06, + "loss": 0.7408, + "step": 14508 + }, + { + "epoch": 0.43, + "learning_rate": 6.417582769647982e-06, + "loss": 0.6399, + "step": 14509 + }, + { + "epoch": 0.43, + "learning_rate": 6.41712651705386e-06, + "loss": 0.5333, + "step": 14510 + }, + { + "epoch": 0.43, + "learning_rate": 6.416670251628772e-06, + "loss": 0.7213, + "step": 14511 + }, + { + "epoch": 0.43, + "learning_rate": 6.416213973376843e-06, + "loss": 0.7003, + "step": 14512 + }, + { + "epoch": 0.43, + "learning_rate": 6.415757682302207e-06, + "loss": 0.6651, + "step": 14513 + }, + { + "epoch": 0.43, + "learning_rate": 6.415301378408996e-06, + "loss": 0.7288, + "step": 14514 + }, + { + "epoch": 0.43, + "learning_rate": 6.4148450617013414e-06, + "loss": 0.5309, + "step": 14515 + }, + { + "epoch": 0.43, + "learning_rate": 6.414388732183374e-06, + "loss": 0.5511, + "step": 14516 + }, + { + "epoch": 0.43, + "learning_rate": 6.413932389859228e-06, + "loss": 0.6621, + "step": 14517 + }, + { + "epoch": 0.43, + "learning_rate": 6.413476034733031e-06, + "loss": 0.7461, + "step": 14518 + }, + { + "epoch": 0.43, + "learning_rate": 6.4130196668089176e-06, + "loss": 0.7224, + "step": 14519 + }, + { + "epoch": 0.43, + "learning_rate": 6.412563286091021e-06, + "loss": 0.8088, + "step": 14520 + }, + { + "epoch": 0.43, + "learning_rate": 6.412106892583469e-06, + "loss": 0.7208, + "step": 14521 + }, + { + "epoch": 0.43, + "learning_rate": 6.4116504862903994e-06, + "loss": 0.8575, + "step": 14522 + }, + { + "epoch": 0.43, + "learning_rate": 6.411194067215941e-06, + "loss": 0.9762, + "step": 14523 + }, + { + "epoch": 0.43, + "learning_rate": 6.4107376353642256e-06, + "loss": 1.0907, + "step": 14524 + }, + { + "epoch": 0.43, + "learning_rate": 6.4102811907393895e-06, + "loss": 0.7259, + "step": 14525 + }, + { + "epoch": 0.43, + "learning_rate": 6.409824733345563e-06, + "loss": 0.6987, + "step": 14526 + }, + { + "epoch": 0.43, + "learning_rate": 6.409368263186879e-06, + "loss": 0.5819, + "step": 14527 + }, + { + "epoch": 0.43, + "learning_rate": 6.4089117802674715e-06, + "loss": 0.8986, + "step": 14528 + }, + { + "epoch": 0.43, + "learning_rate": 6.408455284591472e-06, + "loss": 0.8411, + "step": 14529 + }, + { + "epoch": 0.43, + "learning_rate": 6.407998776163015e-06, + "loss": 0.8488, + "step": 14530 + }, + { + "epoch": 0.43, + "learning_rate": 6.407542254986235e-06, + "loss": 0.5111, + "step": 14531 + }, + { + "epoch": 0.43, + "learning_rate": 6.4070857210652616e-06, + "loss": 0.5894, + "step": 14532 + }, + { + "epoch": 0.43, + "learning_rate": 6.406629174404232e-06, + "loss": 0.7594, + "step": 14533 + }, + { + "epoch": 0.43, + "learning_rate": 6.406172615007278e-06, + "loss": 0.5168, + "step": 14534 + }, + { + "epoch": 0.43, + "learning_rate": 6.405716042878534e-06, + "loss": 0.662, + "step": 14535 + }, + { + "epoch": 0.43, + "learning_rate": 6.405259458022134e-06, + "loss": 0.7417, + "step": 14536 + }, + { + "epoch": 0.43, + "learning_rate": 6.404802860442212e-06, + "loss": 0.5546, + "step": 14537 + }, + { + "epoch": 0.43, + "learning_rate": 6.404346250142902e-06, + "loss": 0.7921, + "step": 14538 + }, + { + "epoch": 0.43, + "learning_rate": 6.403889627128337e-06, + "loss": 0.7676, + "step": 14539 + }, + { + "epoch": 0.43, + "learning_rate": 6.4034329914026535e-06, + "loss": 0.8543, + "step": 14540 + }, + { + "epoch": 0.43, + "learning_rate": 6.402976342969985e-06, + "loss": 0.6678, + "step": 14541 + }, + { + "epoch": 0.43, + "learning_rate": 6.402519681834467e-06, + "loss": 0.9616, + "step": 14542 + }, + { + "epoch": 0.43, + "learning_rate": 6.402063008000232e-06, + "loss": 0.6841, + "step": 14543 + }, + { + "epoch": 0.43, + "learning_rate": 6.401606321471416e-06, + "loss": 0.5988, + "step": 14544 + }, + { + "epoch": 0.43, + "learning_rate": 6.401149622252155e-06, + "loss": 0.9468, + "step": 14545 + }, + { + "epoch": 0.43, + "learning_rate": 6.400692910346584e-06, + "loss": 0.5989, + "step": 14546 + }, + { + "epoch": 0.43, + "learning_rate": 6.400236185758837e-06, + "loss": 0.786, + "step": 14547 + }, + { + "epoch": 0.43, + "learning_rate": 6.399779448493049e-06, + "loss": 0.8107, + "step": 14548 + }, + { + "epoch": 0.43, + "learning_rate": 6.3993226985533554e-06, + "loss": 0.6472, + "step": 14549 + }, + { + "epoch": 0.43, + "learning_rate": 6.398865935943893e-06, + "loss": 0.7248, + "step": 14550 + }, + { + "epoch": 0.43, + "learning_rate": 6.398409160668797e-06, + "loss": 0.7258, + "step": 14551 + }, + { + "epoch": 0.43, + "learning_rate": 6.397952372732202e-06, + "loss": 0.5193, + "step": 14552 + }, + { + "epoch": 0.43, + "learning_rate": 6.397495572138246e-06, + "loss": 0.6644, + "step": 14553 + }, + { + "epoch": 0.43, + "learning_rate": 6.397038758891064e-06, + "loss": 0.6035, + "step": 14554 + }, + { + "epoch": 0.43, + "learning_rate": 6.396581932994791e-06, + "loss": 0.7023, + "step": 14555 + }, + { + "epoch": 0.43, + "learning_rate": 6.396125094453564e-06, + "loss": 0.6485, + "step": 14556 + }, + { + "epoch": 0.43, + "learning_rate": 6.39566824327152e-06, + "loss": 0.5461, + "step": 14557 + }, + { + "epoch": 0.43, + "learning_rate": 6.395211379452793e-06, + "loss": 0.8078, + "step": 14558 + }, + { + "epoch": 0.43, + "learning_rate": 6.394754503001524e-06, + "loss": 0.8247, + "step": 14559 + }, + { + "epoch": 0.43, + "learning_rate": 6.394297613921845e-06, + "loss": 0.954, + "step": 14560 + }, + { + "epoch": 0.43, + "learning_rate": 6.393840712217896e-06, + "loss": 0.6695, + "step": 14561 + }, + { + "epoch": 0.43, + "learning_rate": 6.393383797893812e-06, + "loss": 1.1181, + "step": 14562 + }, + { + "epoch": 0.43, + "learning_rate": 6.39292687095373e-06, + "loss": 0.6736, + "step": 14563 + }, + { + "epoch": 0.43, + "learning_rate": 6.392469931401788e-06, + "loss": 0.7809, + "step": 14564 + }, + { + "epoch": 0.43, + "learning_rate": 6.392012979242124e-06, + "loss": 0.7031, + "step": 14565 + }, + { + "epoch": 0.43, + "learning_rate": 6.391556014478873e-06, + "loss": 0.6169, + "step": 14566 + }, + { + "epoch": 0.43, + "learning_rate": 6.391099037116175e-06, + "loss": 0.7702, + "step": 14567 + }, + { + "epoch": 0.43, + "learning_rate": 6.390642047158164e-06, + "loss": 0.8136, + "step": 14568 + }, + { + "epoch": 0.43, + "learning_rate": 6.3901850446089834e-06, + "loss": 0.5515, + "step": 14569 + }, + { + "epoch": 0.43, + "learning_rate": 6.389728029472766e-06, + "loss": 0.8395, + "step": 14570 + }, + { + "epoch": 0.43, + "learning_rate": 6.389271001753651e-06, + "loss": 0.557, + "step": 14571 + }, + { + "epoch": 0.43, + "learning_rate": 6.388813961455777e-06, + "loss": 0.8192, + "step": 14572 + }, + { + "epoch": 0.43, + "learning_rate": 6.3883569085832835e-06, + "loss": 0.733, + "step": 14573 + }, + { + "epoch": 0.43, + "learning_rate": 6.387899843140305e-06, + "loss": 0.7537, + "step": 14574 + }, + { + "epoch": 0.43, + "learning_rate": 6.3874427651309835e-06, + "loss": 0.8613, + "step": 14575 + }, + { + "epoch": 0.43, + "learning_rate": 6.386985674559455e-06, + "loss": 1.0847, + "step": 14576 + }, + { + "epoch": 0.43, + "learning_rate": 6.38652857142986e-06, + "loss": 0.6624, + "step": 14577 + }, + { + "epoch": 0.43, + "learning_rate": 6.386071455746334e-06, + "loss": 0.7892, + "step": 14578 + }, + { + "epoch": 0.43, + "learning_rate": 6.385614327513021e-06, + "loss": 0.6575, + "step": 14579 + }, + { + "epoch": 0.43, + "learning_rate": 6.3851571867340555e-06, + "loss": 0.7851, + "step": 14580 + }, + { + "epoch": 0.43, + "learning_rate": 6.384700033413579e-06, + "loss": 0.8029, + "step": 14581 + }, + { + "epoch": 0.43, + "learning_rate": 6.38424286755573e-06, + "loss": 0.8008, + "step": 14582 + }, + { + "epoch": 0.43, + "learning_rate": 6.383785689164647e-06, + "loss": 0.4574, + "step": 14583 + }, + { + "epoch": 0.43, + "learning_rate": 6.38332849824447e-06, + "loss": 0.749, + "step": 14584 + }, + { + "epoch": 0.43, + "learning_rate": 6.382871294799338e-06, + "loss": 0.7677, + "step": 14585 + }, + { + "epoch": 0.43, + "learning_rate": 6.382414078833392e-06, + "loss": 0.7208, + "step": 14586 + }, + { + "epoch": 0.43, + "learning_rate": 6.38195685035077e-06, + "loss": 0.5127, + "step": 14587 + }, + { + "epoch": 0.43, + "learning_rate": 6.381499609355613e-06, + "loss": 0.7615, + "step": 14588 + }, + { + "epoch": 0.43, + "learning_rate": 6.381042355852061e-06, + "loss": 0.8321, + "step": 14589 + }, + { + "epoch": 0.43, + "learning_rate": 6.380585089844254e-06, + "loss": 0.5105, + "step": 14590 + }, + { + "epoch": 0.43, + "learning_rate": 6.380127811336332e-06, + "loss": 0.5928, + "step": 14591 + }, + { + "epoch": 0.43, + "learning_rate": 6.379670520332434e-06, + "loss": 0.7575, + "step": 14592 + }, + { + "epoch": 0.43, + "learning_rate": 6.379213216836703e-06, + "loss": 0.5708, + "step": 14593 + }, + { + "epoch": 0.43, + "learning_rate": 6.378755900853278e-06, + "loss": 0.7919, + "step": 14594 + }, + { + "epoch": 0.43, + "learning_rate": 6.378298572386299e-06, + "loss": 0.7829, + "step": 14595 + }, + { + "epoch": 0.43, + "learning_rate": 6.377841231439908e-06, + "loss": 0.7933, + "step": 14596 + }, + { + "epoch": 0.43, + "learning_rate": 6.377383878018244e-06, + "loss": 0.7257, + "step": 14597 + }, + { + "epoch": 0.43, + "learning_rate": 6.37692651212545e-06, + "loss": 0.4973, + "step": 14598 + }, + { + "epoch": 0.43, + "learning_rate": 6.376469133765667e-06, + "loss": 0.6791, + "step": 14599 + }, + { + "epoch": 0.43, + "learning_rate": 6.376011742943036e-06, + "loss": 0.9652, + "step": 14600 + }, + { + "epoch": 0.43, + "learning_rate": 6.375554339661697e-06, + "loss": 0.654, + "step": 14601 + }, + { + "epoch": 0.43, + "learning_rate": 6.375096923925793e-06, + "loss": 0.7712, + "step": 14602 + }, + { + "epoch": 0.43, + "learning_rate": 6.3746394957394646e-06, + "loss": 0.7926, + "step": 14603 + }, + { + "epoch": 0.43, + "learning_rate": 6.374182055106854e-06, + "loss": 0.8001, + "step": 14604 + }, + { + "epoch": 0.43, + "learning_rate": 6.373724602032103e-06, + "loss": 0.9138, + "step": 14605 + }, + { + "epoch": 0.43, + "learning_rate": 6.373267136519352e-06, + "loss": 0.8974, + "step": 14606 + }, + { + "epoch": 0.43, + "learning_rate": 6.372809658572746e-06, + "loss": 0.9264, + "step": 14607 + }, + { + "epoch": 0.43, + "learning_rate": 6.372352168196423e-06, + "loss": 0.8259, + "step": 14608 + }, + { + "epoch": 0.43, + "learning_rate": 6.3718946653945305e-06, + "loss": 0.6705, + "step": 14609 + }, + { + "epoch": 0.43, + "learning_rate": 6.371437150171206e-06, + "loss": 0.6195, + "step": 14610 + }, + { + "epoch": 0.43, + "learning_rate": 6.370979622530595e-06, + "loss": 0.7029, + "step": 14611 + }, + { + "epoch": 0.43, + "learning_rate": 6.370522082476838e-06, + "loss": 0.7271, + "step": 14612 + }, + { + "epoch": 0.43, + "learning_rate": 6.370064530014079e-06, + "loss": 0.9661, + "step": 14613 + }, + { + "epoch": 0.43, + "learning_rate": 6.36960696514646e-06, + "loss": 1.0954, + "step": 14614 + }, + { + "epoch": 0.43, + "learning_rate": 6.369149387878124e-06, + "loss": 0.5394, + "step": 14615 + }, + { + "epoch": 0.43, + "learning_rate": 6.368691798213215e-06, + "loss": 0.3587, + "step": 14616 + }, + { + "epoch": 0.43, + "learning_rate": 6.368234196155874e-06, + "loss": 0.8205, + "step": 14617 + }, + { + "epoch": 0.43, + "learning_rate": 6.3677765817102455e-06, + "loss": 0.8784, + "step": 14618 + }, + { + "epoch": 0.43, + "learning_rate": 6.367318954880474e-06, + "loss": 0.6518, + "step": 14619 + }, + { + "epoch": 0.43, + "learning_rate": 6.366861315670701e-06, + "loss": 0.6838, + "step": 14620 + }, + { + "epoch": 0.43, + "learning_rate": 6.366403664085072e-06, + "loss": 0.8427, + "step": 14621 + }, + { + "epoch": 0.43, + "learning_rate": 6.365946000127729e-06, + "loss": 0.7898, + "step": 14622 + }, + { + "epoch": 0.43, + "learning_rate": 6.365488323802816e-06, + "loss": 0.6253, + "step": 14623 + }, + { + "epoch": 0.43, + "learning_rate": 6.365030635114478e-06, + "loss": 0.7601, + "step": 14624 + }, + { + "epoch": 0.43, + "learning_rate": 6.3645729340668575e-06, + "loss": 0.8039, + "step": 14625 + }, + { + "epoch": 0.43, + "learning_rate": 6.3641152206641e-06, + "loss": 0.6203, + "step": 14626 + }, + { + "epoch": 0.43, + "learning_rate": 6.363657494910348e-06, + "loss": 0.7069, + "step": 14627 + }, + { + "epoch": 0.43, + "learning_rate": 6.363199756809748e-06, + "loss": 0.7732, + "step": 14628 + }, + { + "epoch": 0.43, + "learning_rate": 6.3627420063664444e-06, + "loss": 0.8105, + "step": 14629 + }, + { + "epoch": 0.43, + "learning_rate": 6.36228424358458e-06, + "loss": 0.8717, + "step": 14630 + }, + { + "epoch": 0.43, + "learning_rate": 6.3618264684683e-06, + "loss": 0.7461, + "step": 14631 + }, + { + "epoch": 0.43, + "learning_rate": 6.36136868102175e-06, + "loss": 0.699, + "step": 14632 + }, + { + "epoch": 0.43, + "learning_rate": 6.360910881249074e-06, + "loss": 0.688, + "step": 14633 + }, + { + "epoch": 0.43, + "learning_rate": 6.360453069154418e-06, + "loss": 0.8151, + "step": 14634 + }, + { + "epoch": 0.43, + "learning_rate": 6.359995244741926e-06, + "loss": 0.6904, + "step": 14635 + }, + { + "epoch": 0.43, + "learning_rate": 6.359537408015744e-06, + "loss": 0.9745, + "step": 14636 + }, + { + "epoch": 0.43, + "learning_rate": 6.359079558980016e-06, + "loss": 0.7021, + "step": 14637 + }, + { + "epoch": 0.43, + "learning_rate": 6.35862169763889e-06, + "loss": 0.6968, + "step": 14638 + }, + { + "epoch": 0.43, + "learning_rate": 6.358163823996509e-06, + "loss": 0.6273, + "step": 14639 + }, + { + "epoch": 0.43, + "learning_rate": 6.357705938057022e-06, + "loss": 0.8686, + "step": 14640 + }, + { + "epoch": 0.43, + "learning_rate": 6.357248039824571e-06, + "loss": 0.7056, + "step": 14641 + }, + { + "epoch": 0.43, + "learning_rate": 6.356790129303303e-06, + "loss": 1.0265, + "step": 14642 + }, + { + "epoch": 0.43, + "learning_rate": 6.356332206497366e-06, + "loss": 0.8164, + "step": 14643 + }, + { + "epoch": 0.43, + "learning_rate": 6.355874271410904e-06, + "loss": 0.5055, + "step": 14644 + }, + { + "epoch": 0.43, + "learning_rate": 6.3554163240480646e-06, + "loss": 0.7131, + "step": 14645 + }, + { + "epoch": 0.43, + "learning_rate": 6.354958364412993e-06, + "loss": 0.7169, + "step": 14646 + }, + { + "epoch": 0.43, + "learning_rate": 6.3545003925098355e-06, + "loss": 0.8272, + "step": 14647 + }, + { + "epoch": 0.43, + "learning_rate": 6.35404240834274e-06, + "loss": 0.7216, + "step": 14648 + }, + { + "epoch": 0.43, + "learning_rate": 6.353584411915853e-06, + "loss": 0.8903, + "step": 14649 + }, + { + "epoch": 0.43, + "learning_rate": 6.353126403233321e-06, + "loss": 0.6975, + "step": 14650 + }, + { + "epoch": 0.43, + "learning_rate": 6.352668382299291e-06, + "loss": 0.6397, + "step": 14651 + }, + { + "epoch": 0.43, + "learning_rate": 6.352210349117909e-06, + "loss": 0.4719, + "step": 14652 + }, + { + "epoch": 0.43, + "learning_rate": 6.351752303693324e-06, + "loss": 0.7404, + "step": 14653 + }, + { + "epoch": 0.43, + "learning_rate": 6.35129424602968e-06, + "loss": 0.604, + "step": 14654 + }, + { + "epoch": 0.43, + "learning_rate": 6.3508361761311285e-06, + "loss": 0.6124, + "step": 14655 + }, + { + "epoch": 0.43, + "learning_rate": 6.350378094001814e-06, + "loss": 0.6531, + "step": 14656 + }, + { + "epoch": 0.43, + "learning_rate": 6.349919999645885e-06, + "loss": 0.9, + "step": 14657 + }, + { + "epoch": 0.43, + "learning_rate": 6.34946189306749e-06, + "loss": 0.7739, + "step": 14658 + }, + { + "epoch": 0.43, + "learning_rate": 6.349003774270775e-06, + "loss": 0.7514, + "step": 14659 + }, + { + "epoch": 0.43, + "learning_rate": 6.34854564325989e-06, + "loss": 0.6873, + "step": 14660 + }, + { + "epoch": 0.43, + "learning_rate": 6.3480875000389815e-06, + "loss": 0.7451, + "step": 14661 + }, + { + "epoch": 0.43, + "learning_rate": 6.347629344612197e-06, + "loss": 0.7749, + "step": 14662 + }, + { + "epoch": 0.43, + "learning_rate": 6.347171176983688e-06, + "loss": 1.0701, + "step": 14663 + }, + { + "epoch": 0.43, + "learning_rate": 6.346712997157599e-06, + "loss": 0.8147, + "step": 14664 + }, + { + "epoch": 0.43, + "learning_rate": 6.346254805138082e-06, + "loss": 0.6533, + "step": 14665 + }, + { + "epoch": 0.43, + "learning_rate": 6.345796600929281e-06, + "loss": 0.9727, + "step": 14666 + }, + { + "epoch": 0.43, + "learning_rate": 6.345338384535348e-06, + "loss": 0.4655, + "step": 14667 + }, + { + "epoch": 0.43, + "learning_rate": 6.344880155960432e-06, + "loss": 1.0193, + "step": 14668 + }, + { + "epoch": 0.43, + "learning_rate": 6.344421915208681e-06, + "loss": 0.6412, + "step": 14669 + }, + { + "epoch": 0.43, + "learning_rate": 6.343963662284245e-06, + "loss": 1.0329, + "step": 14670 + }, + { + "epoch": 0.43, + "learning_rate": 6.3435053971912705e-06, + "loss": 0.6686, + "step": 14671 + }, + { + "epoch": 0.43, + "learning_rate": 6.3430471199339085e-06, + "loss": 0.5246, + "step": 14672 + }, + { + "epoch": 0.43, + "learning_rate": 6.342588830516309e-06, + "loss": 0.629, + "step": 14673 + }, + { + "epoch": 0.43, + "learning_rate": 6.342130528942623e-06, + "loss": 0.6958, + "step": 14674 + }, + { + "epoch": 0.43, + "learning_rate": 6.341672215216994e-06, + "loss": 0.8502, + "step": 14675 + }, + { + "epoch": 0.43, + "learning_rate": 6.341213889343578e-06, + "loss": 0.82, + "step": 14676 + }, + { + "epoch": 0.43, + "learning_rate": 6.340755551326521e-06, + "loss": 0.6849, + "step": 14677 + }, + { + "epoch": 0.43, + "learning_rate": 6.340297201169974e-06, + "loss": 0.472, + "step": 14678 + }, + { + "epoch": 0.43, + "learning_rate": 6.339838838878087e-06, + "loss": 0.8703, + "step": 14679 + }, + { + "epoch": 0.43, + "learning_rate": 6.339380464455011e-06, + "loss": 0.4831, + "step": 14680 + }, + { + "epoch": 0.43, + "learning_rate": 6.3389220779048945e-06, + "loss": 0.8337, + "step": 14681 + }, + { + "epoch": 0.43, + "learning_rate": 6.3384636792318884e-06, + "loss": 0.7777, + "step": 14682 + }, + { + "epoch": 0.43, + "learning_rate": 6.338005268440145e-06, + "loss": 0.6789, + "step": 14683 + }, + { + "epoch": 0.43, + "learning_rate": 6.337546845533813e-06, + "loss": 0.8364, + "step": 14684 + }, + { + "epoch": 0.43, + "learning_rate": 6.337088410517044e-06, + "loss": 0.7309, + "step": 14685 + }, + { + "epoch": 0.43, + "learning_rate": 6.336629963393986e-06, + "loss": 0.7777, + "step": 14686 + }, + { + "epoch": 0.43, + "learning_rate": 6.3361715041687946e-06, + "loss": 0.8879, + "step": 14687 + }, + { + "epoch": 0.43, + "learning_rate": 6.3357130328456176e-06, + "loss": 0.6495, + "step": 14688 + }, + { + "epoch": 0.43, + "learning_rate": 6.335254549428607e-06, + "loss": 0.6952, + "step": 14689 + }, + { + "epoch": 0.43, + "learning_rate": 6.334796053921912e-06, + "loss": 0.705, + "step": 14690 + }, + { + "epoch": 0.43, + "learning_rate": 6.334337546329687e-06, + "loss": 0.7803, + "step": 14691 + }, + { + "epoch": 0.43, + "learning_rate": 6.3338790266560825e-06, + "loss": 0.7591, + "step": 14692 + }, + { + "epoch": 0.43, + "learning_rate": 6.333420494905249e-06, + "loss": 1.0065, + "step": 14693 + }, + { + "epoch": 0.43, + "learning_rate": 6.33296195108134e-06, + "loss": 0.8433, + "step": 14694 + }, + { + "epoch": 0.43, + "learning_rate": 6.332503395188505e-06, + "loss": 0.5365, + "step": 14695 + }, + { + "epoch": 0.43, + "learning_rate": 6.332044827230897e-06, + "loss": 0.6, + "step": 14696 + }, + { + "epoch": 0.43, + "learning_rate": 6.331586247212667e-06, + "loss": 0.9362, + "step": 14697 + }, + { + "epoch": 0.43, + "learning_rate": 6.331127655137969e-06, + "loss": 0.5576, + "step": 14698 + }, + { + "epoch": 0.43, + "learning_rate": 6.330669051010956e-06, + "loss": 1.0261, + "step": 14699 + }, + { + "epoch": 0.43, + "learning_rate": 6.330210434835776e-06, + "loss": 0.4614, + "step": 14700 + }, + { + "epoch": 0.43, + "learning_rate": 6.329751806616584e-06, + "loss": 0.5815, + "step": 14701 + }, + { + "epoch": 0.43, + "learning_rate": 6.329293166357533e-06, + "loss": 0.7267, + "step": 14702 + }, + { + "epoch": 0.43, + "learning_rate": 6.328834514062775e-06, + "loss": 0.8049, + "step": 14703 + }, + { + "epoch": 0.43, + "learning_rate": 6.328375849736463e-06, + "loss": 0.585, + "step": 14704 + }, + { + "epoch": 0.43, + "learning_rate": 6.327917173382749e-06, + "loss": 0.7068, + "step": 14705 + }, + { + "epoch": 0.43, + "learning_rate": 6.327458485005786e-06, + "loss": 0.5805, + "step": 14706 + }, + { + "epoch": 0.43, + "learning_rate": 6.326999784609729e-06, + "loss": 0.6984, + "step": 14707 + }, + { + "epoch": 0.43, + "learning_rate": 6.326541072198729e-06, + "loss": 0.749, + "step": 14708 + }, + { + "epoch": 0.43, + "learning_rate": 6.326082347776941e-06, + "loss": 0.9487, + "step": 14709 + }, + { + "epoch": 0.43, + "learning_rate": 6.325623611348517e-06, + "loss": 0.7996, + "step": 14710 + }, + { + "epoch": 0.43, + "learning_rate": 6.32516486291761e-06, + "loss": 0.5063, + "step": 14711 + }, + { + "epoch": 0.43, + "learning_rate": 6.324706102488376e-06, + "loss": 0.9487, + "step": 14712 + }, + { + "epoch": 0.43, + "learning_rate": 6.3242473300649665e-06, + "loss": 0.8852, + "step": 14713 + }, + { + "epoch": 0.43, + "learning_rate": 6.323788545651537e-06, + "loss": 0.6397, + "step": 14714 + }, + { + "epoch": 0.43, + "learning_rate": 6.323329749252241e-06, + "loss": 0.6747, + "step": 14715 + }, + { + "epoch": 0.43, + "learning_rate": 6.322870940871231e-06, + "loss": 0.7202, + "step": 14716 + }, + { + "epoch": 0.43, + "learning_rate": 6.322412120512662e-06, + "loss": 0.6741, + "step": 14717 + }, + { + "epoch": 0.43, + "learning_rate": 6.321953288180689e-06, + "loss": 0.7103, + "step": 14718 + }, + { + "epoch": 0.43, + "learning_rate": 6.321494443879466e-06, + "loss": 0.7367, + "step": 14719 + }, + { + "epoch": 0.43, + "learning_rate": 6.3210355876131466e-06, + "loss": 0.6575, + "step": 14720 + }, + { + "epoch": 0.43, + "learning_rate": 6.320576719385885e-06, + "loss": 0.6367, + "step": 14721 + }, + { + "epoch": 0.43, + "learning_rate": 6.320117839201839e-06, + "loss": 0.7087, + "step": 14722 + }, + { + "epoch": 0.43, + "learning_rate": 6.3196589470651615e-06, + "loss": 0.787, + "step": 14723 + }, + { + "epoch": 0.43, + "learning_rate": 6.319200042980007e-06, + "loss": 0.813, + "step": 14724 + }, + { + "epoch": 0.43, + "learning_rate": 6.318741126950531e-06, + "loss": 0.6439, + "step": 14725 + }, + { + "epoch": 0.43, + "learning_rate": 6.318282198980887e-06, + "loss": 0.7386, + "step": 14726 + }, + { + "epoch": 0.43, + "learning_rate": 6.317823259075233e-06, + "loss": 0.7569, + "step": 14727 + }, + { + "epoch": 0.43, + "learning_rate": 6.317364307237723e-06, + "loss": 0.786, + "step": 14728 + }, + { + "epoch": 0.43, + "learning_rate": 6.316905343472512e-06, + "loss": 0.6199, + "step": 14729 + }, + { + "epoch": 0.43, + "learning_rate": 6.316446367783757e-06, + "loss": 0.6448, + "step": 14730 + }, + { + "epoch": 0.43, + "learning_rate": 6.315987380175611e-06, + "loss": 0.6475, + "step": 14731 + }, + { + "epoch": 0.43, + "learning_rate": 6.315528380652234e-06, + "loss": 0.8376, + "step": 14732 + }, + { + "epoch": 0.43, + "learning_rate": 6.315069369217778e-06, + "loss": 0.7663, + "step": 14733 + }, + { + "epoch": 0.43, + "learning_rate": 6.3146103458764e-06, + "loss": 0.7882, + "step": 14734 + }, + { + "epoch": 0.43, + "learning_rate": 6.314151310632257e-06, + "loss": 0.7089, + "step": 14735 + }, + { + "epoch": 0.43, + "learning_rate": 6.313692263489505e-06, + "loss": 0.7672, + "step": 14736 + }, + { + "epoch": 0.43, + "learning_rate": 6.313233204452299e-06, + "loss": 0.7363, + "step": 14737 + }, + { + "epoch": 0.43, + "learning_rate": 6.312774133524797e-06, + "loss": 0.8652, + "step": 14738 + }, + { + "epoch": 0.43, + "learning_rate": 6.312315050711155e-06, + "loss": 0.7221, + "step": 14739 + }, + { + "epoch": 0.43, + "learning_rate": 6.311855956015529e-06, + "loss": 0.8351, + "step": 14740 + }, + { + "epoch": 0.43, + "learning_rate": 6.311396849442076e-06, + "loss": 0.5718, + "step": 14741 + }, + { + "epoch": 0.43, + "learning_rate": 6.310937730994955e-06, + "loss": 0.7836, + "step": 14742 + }, + { + "epoch": 0.43, + "learning_rate": 6.3104786006783195e-06, + "loss": 0.5396, + "step": 14743 + }, + { + "epoch": 0.43, + "learning_rate": 6.310019458496328e-06, + "loss": 0.7787, + "step": 14744 + }, + { + "epoch": 0.43, + "learning_rate": 6.3095603044531395e-06, + "loss": 0.8693, + "step": 14745 + }, + { + "epoch": 0.43, + "learning_rate": 6.309101138552907e-06, + "loss": 0.6712, + "step": 14746 + }, + { + "epoch": 0.43, + "learning_rate": 6.308641960799793e-06, + "loss": 0.6292, + "step": 14747 + }, + { + "epoch": 0.43, + "learning_rate": 6.30818277119795e-06, + "loss": 0.8005, + "step": 14748 + }, + { + "epoch": 0.43, + "learning_rate": 6.30772356975154e-06, + "loss": 0.7073, + "step": 14749 + }, + { + "epoch": 0.43, + "learning_rate": 6.307264356464718e-06, + "loss": 0.6484, + "step": 14750 + }, + { + "epoch": 0.43, + "learning_rate": 6.3068051313416435e-06, + "loss": 0.6446, + "step": 14751 + }, + { + "epoch": 0.43, + "learning_rate": 6.306345894386473e-06, + "loss": 0.8184, + "step": 14752 + }, + { + "epoch": 0.43, + "learning_rate": 6.305886645603365e-06, + "loss": 0.697, + "step": 14753 + }, + { + "epoch": 0.43, + "learning_rate": 6.305427384996478e-06, + "loss": 0.6221, + "step": 14754 + }, + { + "epoch": 0.43, + "learning_rate": 6.304968112569971e-06, + "loss": 0.7023, + "step": 14755 + }, + { + "epoch": 0.43, + "learning_rate": 6.304508828328e-06, + "loss": 0.7654, + "step": 14756 + }, + { + "epoch": 0.43, + "learning_rate": 6.304049532274726e-06, + "loss": 0.6669, + "step": 14757 + }, + { + "epoch": 0.43, + "learning_rate": 6.303590224414304e-06, + "loss": 0.9379, + "step": 14758 + }, + { + "epoch": 0.43, + "learning_rate": 6.303130904750897e-06, + "loss": 0.7997, + "step": 14759 + }, + { + "epoch": 0.43, + "learning_rate": 6.30267157328866e-06, + "loss": 0.6417, + "step": 14760 + }, + { + "epoch": 0.43, + "learning_rate": 6.3022122300317545e-06, + "loss": 0.804, + "step": 14761 + }, + { + "epoch": 0.43, + "learning_rate": 6.301752874984339e-06, + "loss": 0.7482, + "step": 14762 + }, + { + "epoch": 0.43, + "learning_rate": 6.3012935081505735e-06, + "loss": 0.8335, + "step": 14763 + }, + { + "epoch": 0.43, + "learning_rate": 6.3008341295346145e-06, + "loss": 0.6006, + "step": 14764 + }, + { + "epoch": 0.43, + "learning_rate": 6.3003747391406225e-06, + "loss": 0.4666, + "step": 14765 + }, + { + "epoch": 0.43, + "learning_rate": 6.299915336972757e-06, + "loss": 0.7102, + "step": 14766 + }, + { + "epoch": 0.43, + "learning_rate": 6.299455923035178e-06, + "loss": 0.684, + "step": 14767 + }, + { + "epoch": 0.43, + "learning_rate": 6.298996497332046e-06, + "loss": 0.5801, + "step": 14768 + }, + { + "epoch": 0.43, + "learning_rate": 6.29853705986752e-06, + "loss": 0.6178, + "step": 14769 + }, + { + "epoch": 0.43, + "learning_rate": 6.2980776106457565e-06, + "loss": 0.8947, + "step": 14770 + }, + { + "epoch": 0.43, + "learning_rate": 6.297618149670921e-06, + "loss": 0.7573, + "step": 14771 + }, + { + "epoch": 0.43, + "learning_rate": 6.29715867694717e-06, + "loss": 0.6507, + "step": 14772 + }, + { + "epoch": 0.43, + "learning_rate": 6.296699192478665e-06, + "loss": 0.7485, + "step": 14773 + }, + { + "epoch": 0.43, + "learning_rate": 6.296239696269566e-06, + "loss": 0.7702, + "step": 14774 + }, + { + "epoch": 0.43, + "learning_rate": 6.295780188324033e-06, + "loss": 0.88, + "step": 14775 + }, + { + "epoch": 0.43, + "learning_rate": 6.295320668646227e-06, + "loss": 0.6766, + "step": 14776 + }, + { + "epoch": 0.43, + "learning_rate": 6.294861137240309e-06, + "loss": 0.6655, + "step": 14777 + }, + { + "epoch": 0.43, + "learning_rate": 6.294401594110438e-06, + "loss": 0.5597, + "step": 14778 + }, + { + "epoch": 0.43, + "learning_rate": 6.293942039260777e-06, + "loss": 0.7884, + "step": 14779 + }, + { + "epoch": 0.43, + "learning_rate": 6.2934824726954826e-06, + "loss": 0.8392, + "step": 14780 + }, + { + "epoch": 0.43, + "learning_rate": 6.293022894418721e-06, + "loss": 0.8083, + "step": 14781 + }, + { + "epoch": 0.43, + "learning_rate": 6.292563304434652e-06, + "loss": 0.8535, + "step": 14782 + }, + { + "epoch": 0.43, + "learning_rate": 6.292103702747437e-06, + "loss": 0.5598, + "step": 14783 + }, + { + "epoch": 0.43, + "learning_rate": 6.291644089361234e-06, + "loss": 0.9603, + "step": 14784 + }, + { + "epoch": 0.43, + "learning_rate": 6.2911844642802065e-06, + "loss": 0.7784, + "step": 14785 + }, + { + "epoch": 0.43, + "learning_rate": 6.290724827508519e-06, + "loss": 0.8736, + "step": 14786 + }, + { + "epoch": 0.43, + "learning_rate": 6.290265179050329e-06, + "loss": 0.7688, + "step": 14787 + }, + { + "epoch": 0.43, + "learning_rate": 6.289805518909801e-06, + "loss": 0.6731, + "step": 14788 + }, + { + "epoch": 0.43, + "learning_rate": 6.289345847091095e-06, + "loss": 0.8958, + "step": 14789 + }, + { + "epoch": 0.43, + "learning_rate": 6.288886163598372e-06, + "loss": 0.7505, + "step": 14790 + }, + { + "epoch": 0.43, + "learning_rate": 6.288426468435797e-06, + "loss": 0.6968, + "step": 14791 + }, + { + "epoch": 0.43, + "learning_rate": 6.2879667616075325e-06, + "loss": 0.5043, + "step": 14792 + }, + { + "epoch": 0.43, + "learning_rate": 6.287507043117739e-06, + "loss": 0.799, + "step": 14793 + }, + { + "epoch": 0.43, + "learning_rate": 6.2870473129705776e-06, + "loss": 0.6112, + "step": 14794 + }, + { + "epoch": 0.43, + "learning_rate": 6.286587571170213e-06, + "loss": 0.738, + "step": 14795 + }, + { + "epoch": 0.43, + "learning_rate": 6.2861278177208075e-06, + "loss": 0.7378, + "step": 14796 + }, + { + "epoch": 0.43, + "learning_rate": 6.2856680526265235e-06, + "loss": 0.5615, + "step": 14797 + }, + { + "epoch": 0.43, + "learning_rate": 6.285208275891523e-06, + "loss": 0.5157, + "step": 14798 + }, + { + "epoch": 0.43, + "learning_rate": 6.284748487519969e-06, + "loss": 1.0779, + "step": 14799 + }, + { + "epoch": 0.43, + "learning_rate": 6.2842886875160254e-06, + "loss": 0.8442, + "step": 14800 + }, + { + "epoch": 0.43, + "learning_rate": 6.2838288758838565e-06, + "loss": 0.8639, + "step": 14801 + }, + { + "epoch": 0.43, + "learning_rate": 6.2833690526276224e-06, + "loss": 0.8679, + "step": 14802 + }, + { + "epoch": 0.43, + "learning_rate": 6.28290921775149e-06, + "loss": 0.5885, + "step": 14803 + }, + { + "epoch": 0.43, + "learning_rate": 6.2824493712596205e-06, + "loss": 0.8519, + "step": 14804 + }, + { + "epoch": 0.43, + "learning_rate": 6.281989513156175e-06, + "loss": 0.6359, + "step": 14805 + }, + { + "epoch": 0.43, + "learning_rate": 6.281529643445323e-06, + "loss": 0.7176, + "step": 14806 + }, + { + "epoch": 0.44, + "learning_rate": 6.281069762131224e-06, + "loss": 0.9238, + "step": 14807 + }, + { + "epoch": 0.44, + "learning_rate": 6.280609869218044e-06, + "loss": 0.7281, + "step": 14808 + }, + { + "epoch": 0.44, + "learning_rate": 6.280149964709946e-06, + "loss": 0.7789, + "step": 14809 + }, + { + "epoch": 0.44, + "learning_rate": 6.279690048611093e-06, + "loss": 0.784, + "step": 14810 + }, + { + "epoch": 0.44, + "learning_rate": 6.279230120925652e-06, + "loss": 0.6739, + "step": 14811 + }, + { + "epoch": 0.44, + "learning_rate": 6.278770181657785e-06, + "loss": 0.5905, + "step": 14812 + }, + { + "epoch": 0.44, + "learning_rate": 6.278310230811657e-06, + "loss": 0.7443, + "step": 14813 + }, + { + "epoch": 0.44, + "learning_rate": 6.277850268391432e-06, + "loss": 0.5954, + "step": 14814 + }, + { + "epoch": 0.44, + "learning_rate": 6.277390294401277e-06, + "loss": 0.8005, + "step": 14815 + }, + { + "epoch": 0.44, + "learning_rate": 6.276930308845353e-06, + "loss": 0.9019, + "step": 14816 + }, + { + "epoch": 0.44, + "learning_rate": 6.276470311727827e-06, + "loss": 0.7421, + "step": 14817 + }, + { + "epoch": 0.44, + "learning_rate": 6.276010303052864e-06, + "loss": 0.8129, + "step": 14818 + }, + { + "epoch": 0.44, + "learning_rate": 6.275550282824628e-06, + "loss": 0.8116, + "step": 14819 + }, + { + "epoch": 0.44, + "learning_rate": 6.2750902510472845e-06, + "loss": 0.6485, + "step": 14820 + }, + { + "epoch": 0.44, + "learning_rate": 6.274630207724998e-06, + "loss": 0.5676, + "step": 14821 + }, + { + "epoch": 0.44, + "learning_rate": 6.274170152861937e-06, + "loss": 0.6867, + "step": 14822 + }, + { + "epoch": 0.44, + "learning_rate": 6.273710086462263e-06, + "loss": 0.697, + "step": 14823 + }, + { + "epoch": 0.44, + "learning_rate": 6.273250008530144e-06, + "loss": 0.8642, + "step": 14824 + }, + { + "epoch": 0.44, + "learning_rate": 6.272789919069745e-06, + "loss": 0.934, + "step": 14825 + }, + { + "epoch": 0.44, + "learning_rate": 6.272329818085232e-06, + "loss": 0.703, + "step": 14826 + }, + { + "epoch": 0.44, + "learning_rate": 6.2718697055807696e-06, + "loss": 0.5617, + "step": 14827 + }, + { + "epoch": 0.44, + "learning_rate": 6.2714095815605255e-06, + "loss": 0.6532, + "step": 14828 + }, + { + "epoch": 0.44, + "learning_rate": 6.270949446028663e-06, + "loss": 0.625, + "step": 14829 + }, + { + "epoch": 0.44, + "learning_rate": 6.270489298989352e-06, + "loss": 0.5879, + "step": 14830 + }, + { + "epoch": 0.44, + "learning_rate": 6.270029140446756e-06, + "loss": 0.7961, + "step": 14831 + }, + { + "epoch": 0.44, + "learning_rate": 6.2695689704050435e-06, + "loss": 0.5519, + "step": 14832 + }, + { + "epoch": 0.44, + "learning_rate": 6.269108788868379e-06, + "loss": 0.6366, + "step": 14833 + }, + { + "epoch": 0.44, + "learning_rate": 6.268648595840929e-06, + "loss": 0.9515, + "step": 14834 + }, + { + "epoch": 0.44, + "learning_rate": 6.268188391326862e-06, + "loss": 0.5962, + "step": 14835 + }, + { + "epoch": 0.44, + "learning_rate": 6.267728175330344e-06, + "loss": 0.5425, + "step": 14836 + }, + { + "epoch": 0.44, + "learning_rate": 6.267267947855542e-06, + "loss": 0.7663, + "step": 14837 + }, + { + "epoch": 0.44, + "learning_rate": 6.266807708906623e-06, + "loss": 0.8355, + "step": 14838 + }, + { + "epoch": 0.44, + "learning_rate": 6.266347458487752e-06, + "loss": 0.6463, + "step": 14839 + }, + { + "epoch": 0.44, + "learning_rate": 6.2658871966030995e-06, + "loss": 0.7527, + "step": 14840 + }, + { + "epoch": 0.44, + "learning_rate": 6.265426923256831e-06, + "loss": 0.7401, + "step": 14841 + }, + { + "epoch": 0.44, + "learning_rate": 6.264966638453114e-06, + "loss": 0.8947, + "step": 14842 + }, + { + "epoch": 0.44, + "learning_rate": 6.264506342196117e-06, + "loss": 0.6886, + "step": 14843 + }, + { + "epoch": 0.44, + "learning_rate": 6.264046034490006e-06, + "loss": 0.7918, + "step": 14844 + }, + { + "epoch": 0.44, + "learning_rate": 6.26358571533895e-06, + "loss": 0.6546, + "step": 14845 + }, + { + "epoch": 0.44, + "learning_rate": 6.263125384747116e-06, + "loss": 0.6557, + "step": 14846 + }, + { + "epoch": 0.44, + "learning_rate": 6.262665042718674e-06, + "loss": 0.7619, + "step": 14847 + }, + { + "epoch": 0.44, + "learning_rate": 6.262204689257789e-06, + "loss": 0.623, + "step": 14848 + }, + { + "epoch": 0.44, + "learning_rate": 6.26174432436863e-06, + "loss": 0.6577, + "step": 14849 + }, + { + "epoch": 0.44, + "learning_rate": 6.261283948055367e-06, + "loss": 0.4815, + "step": 14850 + }, + { + "epoch": 0.44, + "learning_rate": 6.260823560322167e-06, + "loss": 0.5669, + "step": 14851 + }, + { + "epoch": 0.44, + "learning_rate": 6.260363161173199e-06, + "loss": 0.6439, + "step": 14852 + }, + { + "epoch": 0.44, + "learning_rate": 6.25990275061263e-06, + "loss": 0.5199, + "step": 14853 + }, + { + "epoch": 0.44, + "learning_rate": 6.259442328644629e-06, + "loss": 0.6158, + "step": 14854 + }, + { + "epoch": 0.44, + "learning_rate": 6.258981895273369e-06, + "loss": 0.6965, + "step": 14855 + }, + { + "epoch": 0.44, + "learning_rate": 6.258521450503012e-06, + "loss": 0.6814, + "step": 14856 + }, + { + "epoch": 0.44, + "learning_rate": 6.258060994337733e-06, + "loss": 0.673, + "step": 14857 + }, + { + "epoch": 0.44, + "learning_rate": 6.2576005267816975e-06, + "loss": 0.8623, + "step": 14858 + }, + { + "epoch": 0.44, + "learning_rate": 6.257140047839075e-06, + "loss": 0.5556, + "step": 14859 + }, + { + "epoch": 0.44, + "learning_rate": 6.256679557514037e-06, + "loss": 0.8177, + "step": 14860 + }, + { + "epoch": 0.44, + "learning_rate": 6.256219055810751e-06, + "loss": 0.7897, + "step": 14861 + }, + { + "epoch": 0.44, + "learning_rate": 6.255758542733386e-06, + "loss": 0.8711, + "step": 14862 + }, + { + "epoch": 0.44, + "learning_rate": 6.255298018286112e-06, + "loss": 0.7415, + "step": 14863 + }, + { + "epoch": 0.44, + "learning_rate": 6.2548374824730984e-06, + "loss": 0.9274, + "step": 14864 + }, + { + "epoch": 0.44, + "learning_rate": 6.254376935298517e-06, + "loss": 0.8645, + "step": 14865 + }, + { + "epoch": 0.44, + "learning_rate": 6.2539163767665365e-06, + "loss": 0.7614, + "step": 14866 + }, + { + "epoch": 0.44, + "learning_rate": 6.253455806881327e-06, + "loss": 0.7138, + "step": 14867 + }, + { + "epoch": 0.44, + "learning_rate": 6.252995225647057e-06, + "loss": 0.8376, + "step": 14868 + }, + { + "epoch": 0.44, + "learning_rate": 6.252534633067899e-06, + "loss": 0.8318, + "step": 14869 + }, + { + "epoch": 0.44, + "learning_rate": 6.252074029148021e-06, + "loss": 0.769, + "step": 14870 + }, + { + "epoch": 0.44, + "learning_rate": 6.251613413891596e-06, + "loss": 0.7868, + "step": 14871 + }, + { + "epoch": 0.44, + "learning_rate": 6.2511527873027934e-06, + "loss": 0.6157, + "step": 14872 + }, + { + "epoch": 0.44, + "learning_rate": 6.250692149385783e-06, + "loss": 0.6977, + "step": 14873 + }, + { + "epoch": 0.44, + "learning_rate": 6.250231500144737e-06, + "loss": 0.8451, + "step": 14874 + }, + { + "epoch": 0.44, + "learning_rate": 6.249770839583824e-06, + "loss": 0.7824, + "step": 14875 + }, + { + "epoch": 0.44, + "learning_rate": 6.249310167707218e-06, + "loss": 0.6898, + "step": 14876 + }, + { + "epoch": 0.44, + "learning_rate": 6.248849484519087e-06, + "loss": 0.8763, + "step": 14877 + }, + { + "epoch": 0.44, + "learning_rate": 6.2483887900236055e-06, + "loss": 0.633, + "step": 14878 + }, + { + "epoch": 0.44, + "learning_rate": 6.24792808422494e-06, + "loss": 0.7225, + "step": 14879 + }, + { + "epoch": 0.44, + "learning_rate": 6.2474673671272665e-06, + "loss": 0.9608, + "step": 14880 + }, + { + "epoch": 0.44, + "learning_rate": 6.247006638734754e-06, + "loss": 0.8311, + "step": 14881 + }, + { + "epoch": 0.44, + "learning_rate": 6.246545899051575e-06, + "loss": 0.781, + "step": 14882 + }, + { + "epoch": 0.44, + "learning_rate": 6.246085148081899e-06, + "loss": 0.8856, + "step": 14883 + }, + { + "epoch": 0.44, + "learning_rate": 6.245624385829901e-06, + "loss": 0.4106, + "step": 14884 + }, + { + "epoch": 0.44, + "learning_rate": 6.245163612299749e-06, + "loss": 0.7009, + "step": 14885 + }, + { + "epoch": 0.44, + "learning_rate": 6.244702827495619e-06, + "loss": 0.6736, + "step": 14886 + }, + { + "epoch": 0.44, + "learning_rate": 6.244242031421681e-06, + "loss": 0.6224, + "step": 14887 + }, + { + "epoch": 0.44, + "learning_rate": 6.243781224082106e-06, + "loss": 0.6724, + "step": 14888 + }, + { + "epoch": 0.44, + "learning_rate": 6.243320405481069e-06, + "loss": 0.7424, + "step": 14889 + }, + { + "epoch": 0.44, + "learning_rate": 6.2428595756227416e-06, + "loss": 0.5543, + "step": 14890 + }, + { + "epoch": 0.44, + "learning_rate": 6.242398734511295e-06, + "loss": 0.7534, + "step": 14891 + }, + { + "epoch": 0.44, + "learning_rate": 6.241937882150903e-06, + "loss": 0.9528, + "step": 14892 + }, + { + "epoch": 0.44, + "learning_rate": 6.2414770185457354e-06, + "loss": 0.4202, + "step": 14893 + }, + { + "epoch": 0.44, + "learning_rate": 6.241016143699968e-06, + "loss": 0.6643, + "step": 14894 + }, + { + "epoch": 0.44, + "learning_rate": 6.240555257617773e-06, + "loss": 0.7842, + "step": 14895 + }, + { + "epoch": 0.44, + "learning_rate": 6.240094360303324e-06, + "loss": 0.877, + "step": 14896 + }, + { + "epoch": 0.44, + "learning_rate": 6.239633451760794e-06, + "loss": 0.5542, + "step": 14897 + }, + { + "epoch": 0.44, + "learning_rate": 6.239172531994353e-06, + "loss": 0.8121, + "step": 14898 + }, + { + "epoch": 0.44, + "learning_rate": 6.238711601008178e-06, + "loss": 0.7911, + "step": 14899 + }, + { + "epoch": 0.44, + "learning_rate": 6.238250658806442e-06, + "loss": 0.7349, + "step": 14900 + }, + { + "epoch": 0.44, + "learning_rate": 6.2377897053933156e-06, + "loss": 0.7753, + "step": 14901 + }, + { + "epoch": 0.44, + "learning_rate": 6.237328740772975e-06, + "loss": 0.7632, + "step": 14902 + }, + { + "epoch": 0.44, + "learning_rate": 6.236867764949593e-06, + "loss": 0.6342, + "step": 14903 + }, + { + "epoch": 0.44, + "learning_rate": 6.236406777927344e-06, + "loss": 0.7562, + "step": 14904 + }, + { + "epoch": 0.44, + "learning_rate": 6.2359457797104015e-06, + "loss": 0.7867, + "step": 14905 + }, + { + "epoch": 0.44, + "learning_rate": 6.23548477030294e-06, + "loss": 0.7796, + "step": 14906 + }, + { + "epoch": 0.44, + "learning_rate": 6.235023749709133e-06, + "loss": 0.6866, + "step": 14907 + }, + { + "epoch": 0.44, + "learning_rate": 6.234562717933152e-06, + "loss": 0.6508, + "step": 14908 + }, + { + "epoch": 0.44, + "learning_rate": 6.234101674979176e-06, + "loss": 0.8417, + "step": 14909 + }, + { + "epoch": 0.44, + "learning_rate": 6.233640620851378e-06, + "loss": 0.6714, + "step": 14910 + }, + { + "epoch": 0.44, + "learning_rate": 6.233179555553929e-06, + "loss": 0.626, + "step": 14911 + }, + { + "epoch": 0.44, + "learning_rate": 6.23271847909101e-06, + "loss": 0.8683, + "step": 14912 + }, + { + "epoch": 0.44, + "learning_rate": 6.232257391466789e-06, + "loss": 0.6804, + "step": 14913 + }, + { + "epoch": 0.44, + "learning_rate": 6.231796292685446e-06, + "loss": 0.5746, + "step": 14914 + }, + { + "epoch": 0.44, + "learning_rate": 6.231335182751153e-06, + "loss": 0.8515, + "step": 14915 + }, + { + "epoch": 0.44, + "learning_rate": 6.230874061668085e-06, + "loss": 0.7738, + "step": 14916 + }, + { + "epoch": 0.44, + "learning_rate": 6.230412929440419e-06, + "loss": 0.6647, + "step": 14917 + }, + { + "epoch": 0.44, + "learning_rate": 6.229951786072329e-06, + "loss": 1.0636, + "step": 14918 + }, + { + "epoch": 0.44, + "learning_rate": 6.2294906315679905e-06, + "loss": 0.8705, + "step": 14919 + }, + { + "epoch": 0.44, + "learning_rate": 6.2290294659315775e-06, + "loss": 0.8335, + "step": 14920 + }, + { + "epoch": 0.44, + "learning_rate": 6.228568289167268e-06, + "loss": 0.6293, + "step": 14921 + }, + { + "epoch": 0.44, + "learning_rate": 6.228107101279236e-06, + "loss": 0.5942, + "step": 14922 + }, + { + "epoch": 0.44, + "learning_rate": 6.2276459022716555e-06, + "loss": 0.8819, + "step": 14923 + }, + { + "epoch": 0.44, + "learning_rate": 6.227184692148707e-06, + "loss": 0.4736, + "step": 14924 + }, + { + "epoch": 0.44, + "learning_rate": 6.226723470914562e-06, + "loss": 0.4911, + "step": 14925 + }, + { + "epoch": 0.44, + "learning_rate": 6.2262622385733986e-06, + "loss": 0.6887, + "step": 14926 + }, + { + "epoch": 0.44, + "learning_rate": 6.225800995129393e-06, + "loss": 0.5411, + "step": 14927 + }, + { + "epoch": 0.44, + "learning_rate": 6.22533974058672e-06, + "loss": 0.6351, + "step": 14928 + }, + { + "epoch": 0.44, + "learning_rate": 6.224878474949556e-06, + "loss": 0.7272, + "step": 14929 + }, + { + "epoch": 0.44, + "learning_rate": 6.22441719822208e-06, + "loss": 0.7536, + "step": 14930 + }, + { + "epoch": 0.44, + "learning_rate": 6.223955910408467e-06, + "loss": 0.5687, + "step": 14931 + }, + { + "epoch": 0.44, + "learning_rate": 6.223494611512893e-06, + "loss": 0.9716, + "step": 14932 + }, + { + "epoch": 0.44, + "learning_rate": 6.223033301539532e-06, + "loss": 0.7556, + "step": 14933 + }, + { + "epoch": 0.44, + "learning_rate": 6.2225719804925665e-06, + "loss": 0.7846, + "step": 14934 + }, + { + "epoch": 0.44, + "learning_rate": 6.2221106483761705e-06, + "loss": 0.6359, + "step": 14935 + }, + { + "epoch": 0.44, + "learning_rate": 6.2216493051945206e-06, + "loss": 0.7731, + "step": 14936 + }, + { + "epoch": 0.44, + "learning_rate": 6.221187950951794e-06, + "loss": 0.4964, + "step": 14937 + }, + { + "epoch": 0.44, + "learning_rate": 6.22072658565217e-06, + "loss": 0.9167, + "step": 14938 + }, + { + "epoch": 0.44, + "learning_rate": 6.220265209299824e-06, + "loss": 0.8244, + "step": 14939 + }, + { + "epoch": 0.44, + "learning_rate": 6.2198038218989335e-06, + "loss": 0.6824, + "step": 14940 + }, + { + "epoch": 0.44, + "learning_rate": 6.219342423453674e-06, + "loss": 0.5545, + "step": 14941 + }, + { + "epoch": 0.44, + "learning_rate": 6.218881013968228e-06, + "loss": 0.6657, + "step": 14942 + }, + { + "epoch": 0.44, + "learning_rate": 6.218419593446768e-06, + "loss": 0.7357, + "step": 14943 + }, + { + "epoch": 0.44, + "learning_rate": 6.2179581618934755e-06, + "loss": 0.7493, + "step": 14944 + }, + { + "epoch": 0.44, + "learning_rate": 6.217496719312528e-06, + "loss": 0.7898, + "step": 14945 + }, + { + "epoch": 0.44, + "learning_rate": 6.217035265708102e-06, + "loss": 0.6018, + "step": 14946 + }, + { + "epoch": 0.44, + "learning_rate": 6.2165738010843755e-06, + "loss": 0.8009, + "step": 14947 + }, + { + "epoch": 0.44, + "learning_rate": 6.216112325445529e-06, + "loss": 0.3716, + "step": 14948 + }, + { + "epoch": 0.44, + "learning_rate": 6.2156508387957386e-06, + "loss": 0.7814, + "step": 14949 + }, + { + "epoch": 0.44, + "learning_rate": 6.215189341139183e-06, + "loss": 0.8291, + "step": 14950 + }, + { + "epoch": 0.44, + "learning_rate": 6.214727832480042e-06, + "loss": 0.645, + "step": 14951 + }, + { + "epoch": 0.44, + "learning_rate": 6.2142663128224924e-06, + "loss": 0.5024, + "step": 14952 + }, + { + "epoch": 0.44, + "learning_rate": 6.213804782170714e-06, + "loss": 0.5567, + "step": 14953 + }, + { + "epoch": 0.44, + "learning_rate": 6.213343240528885e-06, + "loss": 0.6143, + "step": 14954 + }, + { + "epoch": 0.44, + "learning_rate": 6.212881687901186e-06, + "loss": 0.8177, + "step": 14955 + }, + { + "epoch": 0.44, + "learning_rate": 6.2124201242917924e-06, + "loss": 0.6464, + "step": 14956 + }, + { + "epoch": 0.44, + "learning_rate": 6.2119585497048876e-06, + "loss": 0.7165, + "step": 14957 + }, + { + "epoch": 0.44, + "learning_rate": 6.211496964144648e-06, + "loss": 0.7729, + "step": 14958 + }, + { + "epoch": 0.44, + "learning_rate": 6.211035367615254e-06, + "loss": 0.7043, + "step": 14959 + }, + { + "epoch": 0.44, + "learning_rate": 6.210573760120885e-06, + "loss": 0.6216, + "step": 14960 + }, + { + "epoch": 0.44, + "learning_rate": 6.210112141665719e-06, + "loss": 0.7013, + "step": 14961 + }, + { + "epoch": 0.44, + "learning_rate": 6.209650512253936e-06, + "loss": 0.617, + "step": 14962 + }, + { + "epoch": 0.44, + "learning_rate": 6.209188871889717e-06, + "loss": 0.998, + "step": 14963 + }, + { + "epoch": 0.44, + "learning_rate": 6.208727220577243e-06, + "loss": 0.5776, + "step": 14964 + }, + { + "epoch": 0.44, + "learning_rate": 6.208265558320691e-06, + "loss": 0.6262, + "step": 14965 + }, + { + "epoch": 0.44, + "learning_rate": 6.207803885124242e-06, + "loss": 0.6211, + "step": 14966 + }, + { + "epoch": 0.44, + "learning_rate": 6.207342200992076e-06, + "loss": 0.6739, + "step": 14967 + }, + { + "epoch": 0.44, + "learning_rate": 6.206880505928373e-06, + "loss": 0.5545, + "step": 14968 + }, + { + "epoch": 0.44, + "learning_rate": 6.2064187999373145e-06, + "loss": 0.9631, + "step": 14969 + }, + { + "epoch": 0.44, + "learning_rate": 6.20595708302308e-06, + "loss": 0.5777, + "step": 14970 + }, + { + "epoch": 0.44, + "learning_rate": 6.20549535518985e-06, + "loss": 0.6586, + "step": 14971 + }, + { + "epoch": 0.44, + "learning_rate": 6.205033616441804e-06, + "loss": 0.7066, + "step": 14972 + }, + { + "epoch": 0.44, + "learning_rate": 6.204571866783124e-06, + "loss": 0.7056, + "step": 14973 + }, + { + "epoch": 0.44, + "learning_rate": 6.204110106217992e-06, + "loss": 0.7838, + "step": 14974 + }, + { + "epoch": 0.44, + "learning_rate": 6.203648334750587e-06, + "loss": 0.682, + "step": 14975 + }, + { + "epoch": 0.44, + "learning_rate": 6.20318655238509e-06, + "loss": 0.8697, + "step": 14976 + }, + { + "epoch": 0.44, + "learning_rate": 6.202724759125682e-06, + "loss": 0.7947, + "step": 14977 + }, + { + "epoch": 0.44, + "learning_rate": 6.202262954976547e-06, + "loss": 0.5943, + "step": 14978 + }, + { + "epoch": 0.44, + "learning_rate": 6.201801139941862e-06, + "loss": 0.8025, + "step": 14979 + }, + { + "epoch": 0.44, + "learning_rate": 6.20133931402581e-06, + "loss": 0.5252, + "step": 14980 + }, + { + "epoch": 0.44, + "learning_rate": 6.200877477232574e-06, + "loss": 0.645, + "step": 14981 + }, + { + "epoch": 0.44, + "learning_rate": 6.200415629566333e-06, + "loss": 0.6815, + "step": 14982 + }, + { + "epoch": 0.44, + "learning_rate": 6.199953771031271e-06, + "loss": 0.6343, + "step": 14983 + }, + { + "epoch": 0.44, + "learning_rate": 6.199491901631569e-06, + "loss": 0.6989, + "step": 14984 + }, + { + "epoch": 0.44, + "learning_rate": 6.1990300213714085e-06, + "loss": 0.604, + "step": 14985 + }, + { + "epoch": 0.44, + "learning_rate": 6.198568130254972e-06, + "loss": 0.6883, + "step": 14986 + }, + { + "epoch": 0.44, + "learning_rate": 6.198106228286439e-06, + "loss": 0.6882, + "step": 14987 + }, + { + "epoch": 0.44, + "learning_rate": 6.197644315469996e-06, + "loss": 0.6656, + "step": 14988 + }, + { + "epoch": 0.44, + "learning_rate": 6.197182391809823e-06, + "loss": 0.6975, + "step": 14989 + }, + { + "epoch": 0.44, + "learning_rate": 6.196720457310102e-06, + "loss": 0.5937, + "step": 14990 + }, + { + "epoch": 0.44, + "learning_rate": 6.1962585119750165e-06, + "loss": 0.6661, + "step": 14991 + }, + { + "epoch": 0.44, + "learning_rate": 6.1957965558087466e-06, + "loss": 0.6922, + "step": 14992 + }, + { + "epoch": 0.44, + "learning_rate": 6.195334588815478e-06, + "loss": 0.6581, + "step": 14993 + }, + { + "epoch": 0.44, + "learning_rate": 6.194872610999393e-06, + "loss": 0.6451, + "step": 14994 + }, + { + "epoch": 0.44, + "learning_rate": 6.194410622364672e-06, + "loss": 0.5759, + "step": 14995 + }, + { + "epoch": 0.44, + "learning_rate": 6.1939486229155025e-06, + "loss": 0.6374, + "step": 14996 + }, + { + "epoch": 0.44, + "learning_rate": 6.193486612656062e-06, + "loss": 0.8177, + "step": 14997 + }, + { + "epoch": 0.44, + "learning_rate": 6.193024591590538e-06, + "loss": 0.6418, + "step": 14998 + }, + { + "epoch": 0.44, + "learning_rate": 6.192562559723112e-06, + "loss": 0.8602, + "step": 14999 + }, + { + "epoch": 0.44, + "learning_rate": 6.192100517057966e-06, + "loss": 0.6635, + "step": 15000 + }, + { + "epoch": 0.44, + "learning_rate": 6.191638463599287e-06, + "loss": 0.9, + "step": 15001 + }, + { + "epoch": 0.44, + "learning_rate": 6.191176399351255e-06, + "loss": 0.6663, + "step": 15002 + }, + { + "epoch": 0.44, + "learning_rate": 6.1907143243180555e-06, + "loss": 0.8754, + "step": 15003 + }, + { + "epoch": 0.44, + "learning_rate": 6.190252238503871e-06, + "loss": 0.8399, + "step": 15004 + }, + { + "epoch": 0.44, + "learning_rate": 6.189790141912887e-06, + "loss": 0.6227, + "step": 15005 + }, + { + "epoch": 0.44, + "learning_rate": 6.1893280345492865e-06, + "loss": 0.6617, + "step": 15006 + }, + { + "epoch": 0.44, + "learning_rate": 6.1888659164172524e-06, + "loss": 0.8039, + "step": 15007 + }, + { + "epoch": 0.44, + "learning_rate": 6.188403787520971e-06, + "loss": 0.5967, + "step": 15008 + }, + { + "epoch": 0.44, + "learning_rate": 6.187941647864625e-06, + "loss": 0.8802, + "step": 15009 + }, + { + "epoch": 0.44, + "learning_rate": 6.1874794974523996e-06, + "loss": 0.6355, + "step": 15010 + }, + { + "epoch": 0.44, + "learning_rate": 6.187017336288477e-06, + "loss": 0.9792, + "step": 15011 + }, + { + "epoch": 0.44, + "learning_rate": 6.186555164377045e-06, + "loss": 0.4789, + "step": 15012 + }, + { + "epoch": 0.44, + "learning_rate": 6.186092981722287e-06, + "loss": 0.6809, + "step": 15013 + }, + { + "epoch": 0.44, + "learning_rate": 6.185630788328387e-06, + "loss": 0.9518, + "step": 15014 + }, + { + "epoch": 0.44, + "learning_rate": 6.1851685841995305e-06, + "loss": 0.7746, + "step": 15015 + }, + { + "epoch": 0.44, + "learning_rate": 6.184706369339902e-06, + "loss": 0.6287, + "step": 15016 + }, + { + "epoch": 0.44, + "learning_rate": 6.1842441437536846e-06, + "loss": 0.7688, + "step": 15017 + }, + { + "epoch": 0.44, + "learning_rate": 6.183781907445068e-06, + "loss": 0.6594, + "step": 15018 + }, + { + "epoch": 0.44, + "learning_rate": 6.183319660418235e-06, + "loss": 0.7189, + "step": 15019 + }, + { + "epoch": 0.44, + "learning_rate": 6.182857402677368e-06, + "loss": 0.8716, + "step": 15020 + }, + { + "epoch": 0.44, + "learning_rate": 6.182395134226657e-06, + "loss": 0.581, + "step": 15021 + }, + { + "epoch": 0.44, + "learning_rate": 6.1819328550702854e-06, + "loss": 0.6003, + "step": 15022 + }, + { + "epoch": 0.44, + "learning_rate": 6.181470565212438e-06, + "loss": 0.775, + "step": 15023 + }, + { + "epoch": 0.44, + "learning_rate": 6.181008264657302e-06, + "loss": 0.7512, + "step": 15024 + }, + { + "epoch": 0.44, + "learning_rate": 6.180545953409063e-06, + "loss": 0.6286, + "step": 15025 + }, + { + "epoch": 0.44, + "learning_rate": 6.180083631471905e-06, + "loss": 0.8414, + "step": 15026 + }, + { + "epoch": 0.44, + "learning_rate": 6.179621298850016e-06, + "loss": 0.7632, + "step": 15027 + }, + { + "epoch": 0.44, + "learning_rate": 6.179158955547581e-06, + "loss": 0.7293, + "step": 15028 + }, + { + "epoch": 0.44, + "learning_rate": 6.178696601568787e-06, + "loss": 0.6546, + "step": 15029 + }, + { + "epoch": 0.44, + "learning_rate": 6.178234236917819e-06, + "loss": 0.6528, + "step": 15030 + }, + { + "epoch": 0.44, + "learning_rate": 6.177771861598865e-06, + "loss": 0.7311, + "step": 15031 + }, + { + "epoch": 0.44, + "learning_rate": 6.177309475616111e-06, + "loss": 0.8486, + "step": 15032 + }, + { + "epoch": 0.44, + "learning_rate": 6.176847078973742e-06, + "loss": 0.725, + "step": 15033 + }, + { + "epoch": 0.44, + "learning_rate": 6.1763846716759465e-06, + "loss": 0.7538, + "step": 15034 + }, + { + "epoch": 0.44, + "learning_rate": 6.1759222537269116e-06, + "loss": 0.9324, + "step": 15035 + }, + { + "epoch": 0.44, + "learning_rate": 6.175459825130821e-06, + "loss": 0.8066, + "step": 15036 + }, + { + "epoch": 0.44, + "learning_rate": 6.174997385891864e-06, + "loss": 0.622, + "step": 15037 + }, + { + "epoch": 0.44, + "learning_rate": 6.174534936014228e-06, + "loss": 1.0046, + "step": 15038 + }, + { + "epoch": 0.44, + "learning_rate": 6.1740724755021e-06, + "loss": 0.7829, + "step": 15039 + }, + { + "epoch": 0.44, + "learning_rate": 6.173610004359666e-06, + "loss": 0.7652, + "step": 15040 + }, + { + "epoch": 0.44, + "learning_rate": 6.173147522591113e-06, + "loss": 0.7209, + "step": 15041 + }, + { + "epoch": 0.44, + "learning_rate": 6.172685030200631e-06, + "loss": 0.5623, + "step": 15042 + }, + { + "epoch": 0.44, + "learning_rate": 6.172222527192405e-06, + "loss": 0.741, + "step": 15043 + }, + { + "epoch": 0.44, + "learning_rate": 6.171760013570624e-06, + "loss": 0.5793, + "step": 15044 + }, + { + "epoch": 0.44, + "learning_rate": 6.171297489339475e-06, + "loss": 0.7106, + "step": 15045 + }, + { + "epoch": 0.44, + "learning_rate": 6.170834954503144e-06, + "loss": 0.5857, + "step": 15046 + }, + { + "epoch": 0.44, + "learning_rate": 6.170372409065823e-06, + "loss": 0.5549, + "step": 15047 + }, + { + "epoch": 0.44, + "learning_rate": 6.169909853031697e-06, + "loss": 0.7875, + "step": 15048 + }, + { + "epoch": 0.44, + "learning_rate": 6.169447286404956e-06, + "loss": 0.7185, + "step": 15049 + }, + { + "epoch": 0.44, + "learning_rate": 6.168984709189787e-06, + "loss": 0.8014, + "step": 15050 + }, + { + "epoch": 0.44, + "learning_rate": 6.168522121390377e-06, + "loss": 0.3173, + "step": 15051 + }, + { + "epoch": 0.44, + "learning_rate": 6.168059523010917e-06, + "loss": 0.7358, + "step": 15052 + }, + { + "epoch": 0.44, + "learning_rate": 6.167596914055592e-06, + "loss": 0.8875, + "step": 15053 + }, + { + "epoch": 0.44, + "learning_rate": 6.167134294528595e-06, + "loss": 0.8181, + "step": 15054 + }, + { + "epoch": 0.44, + "learning_rate": 6.166671664434113e-06, + "loss": 1.0487, + "step": 15055 + }, + { + "epoch": 0.44, + "learning_rate": 6.166209023776332e-06, + "loss": 0.727, + "step": 15056 + }, + { + "epoch": 0.44, + "learning_rate": 6.1657463725594434e-06, + "loss": 0.7484, + "step": 15057 + }, + { + "epoch": 0.44, + "learning_rate": 6.165283710787637e-06, + "loss": 0.6316, + "step": 15058 + }, + { + "epoch": 0.44, + "learning_rate": 6.164821038465101e-06, + "loss": 0.7039, + "step": 15059 + }, + { + "epoch": 0.44, + "learning_rate": 6.164358355596023e-06, + "loss": 0.8713, + "step": 15060 + }, + { + "epoch": 0.44, + "learning_rate": 6.163895662184593e-06, + "loss": 0.7372, + "step": 15061 + }, + { + "epoch": 0.44, + "learning_rate": 6.163432958235001e-06, + "loss": 0.7375, + "step": 15062 + }, + { + "epoch": 0.44, + "learning_rate": 6.1629702437514375e-06, + "loss": 0.643, + "step": 15063 + }, + { + "epoch": 0.44, + "learning_rate": 6.16250751873809e-06, + "loss": 1.1263, + "step": 15064 + }, + { + "epoch": 0.44, + "learning_rate": 6.1620447831991484e-06, + "loss": 0.7181, + "step": 15065 + }, + { + "epoch": 0.44, + "learning_rate": 6.161582037138801e-06, + "loss": 0.5905, + "step": 15066 + }, + { + "epoch": 0.44, + "learning_rate": 6.161119280561242e-06, + "loss": 0.8786, + "step": 15067 + }, + { + "epoch": 0.44, + "learning_rate": 6.1606565134706575e-06, + "loss": 0.6817, + "step": 15068 + }, + { + "epoch": 0.44, + "learning_rate": 6.160193735871239e-06, + "loss": 0.7701, + "step": 15069 + }, + { + "epoch": 0.44, + "learning_rate": 6.159730947767177e-06, + "loss": 0.6714, + "step": 15070 + }, + { + "epoch": 0.44, + "learning_rate": 6.159268149162658e-06, + "loss": 0.6865, + "step": 15071 + }, + { + "epoch": 0.44, + "learning_rate": 6.158805340061877e-06, + "loss": 0.7268, + "step": 15072 + }, + { + "epoch": 0.44, + "learning_rate": 6.158342520469024e-06, + "loss": 0.7888, + "step": 15073 + }, + { + "epoch": 0.44, + "learning_rate": 6.1578796903882864e-06, + "loss": 0.5258, + "step": 15074 + }, + { + "epoch": 0.44, + "learning_rate": 6.157416849823857e-06, + "loss": 0.6256, + "step": 15075 + }, + { + "epoch": 0.44, + "learning_rate": 6.156953998779924e-06, + "loss": 0.8044, + "step": 15076 + }, + { + "epoch": 0.44, + "learning_rate": 6.156491137260683e-06, + "loss": 0.6738, + "step": 15077 + }, + { + "epoch": 0.44, + "learning_rate": 6.156028265270321e-06, + "loss": 0.867, + "step": 15078 + }, + { + "epoch": 0.44, + "learning_rate": 6.155565382813029e-06, + "loss": 0.5378, + "step": 15079 + }, + { + "epoch": 0.44, + "learning_rate": 6.155102489892999e-06, + "loss": 0.7035, + "step": 15080 + }, + { + "epoch": 0.44, + "learning_rate": 6.154639586514422e-06, + "loss": 0.9777, + "step": 15081 + }, + { + "epoch": 0.44, + "learning_rate": 6.15417667268149e-06, + "loss": 0.6913, + "step": 15082 + }, + { + "epoch": 0.44, + "learning_rate": 6.153713748398393e-06, + "loss": 0.8495, + "step": 15083 + }, + { + "epoch": 0.44, + "learning_rate": 6.153250813669324e-06, + "loss": 0.8274, + "step": 15084 + }, + { + "epoch": 0.44, + "learning_rate": 6.152787868498471e-06, + "loss": 0.6893, + "step": 15085 + }, + { + "epoch": 0.44, + "learning_rate": 6.15232491289003e-06, + "loss": 0.9539, + "step": 15086 + }, + { + "epoch": 0.44, + "learning_rate": 6.15186194684819e-06, + "loss": 0.7474, + "step": 15087 + }, + { + "epoch": 0.44, + "learning_rate": 6.1513989703771435e-06, + "loss": 0.8032, + "step": 15088 + }, + { + "epoch": 0.44, + "learning_rate": 6.150935983481083e-06, + "loss": 0.8476, + "step": 15089 + }, + { + "epoch": 0.44, + "learning_rate": 6.150472986164199e-06, + "loss": 0.6711, + "step": 15090 + }, + { + "epoch": 0.44, + "learning_rate": 6.150009978430684e-06, + "loss": 0.7735, + "step": 15091 + }, + { + "epoch": 0.44, + "learning_rate": 6.149546960284732e-06, + "loss": 0.5652, + "step": 15092 + }, + { + "epoch": 0.44, + "learning_rate": 6.149083931730535e-06, + "loss": 0.7363, + "step": 15093 + }, + { + "epoch": 0.44, + "learning_rate": 6.148620892772282e-06, + "loss": 1.0371, + "step": 15094 + }, + { + "epoch": 0.44, + "learning_rate": 6.148157843414169e-06, + "loss": 0.687, + "step": 15095 + }, + { + "epoch": 0.44, + "learning_rate": 6.147694783660387e-06, + "loss": 0.7405, + "step": 15096 + }, + { + "epoch": 0.44, + "learning_rate": 6.147231713515129e-06, + "loss": 0.7353, + "step": 15097 + }, + { + "epoch": 0.44, + "learning_rate": 6.146768632982589e-06, + "loss": 0.9674, + "step": 15098 + }, + { + "epoch": 0.44, + "learning_rate": 6.146305542066956e-06, + "loss": 0.515, + "step": 15099 + }, + { + "epoch": 0.44, + "learning_rate": 6.1458424407724274e-06, + "loss": 0.5542, + "step": 15100 + }, + { + "epoch": 0.44, + "learning_rate": 6.1453793291031935e-06, + "loss": 0.5816, + "step": 15101 + }, + { + "epoch": 0.44, + "learning_rate": 6.144916207063448e-06, + "loss": 0.7905, + "step": 15102 + }, + { + "epoch": 0.44, + "learning_rate": 6.144453074657385e-06, + "loss": 0.751, + "step": 15103 + }, + { + "epoch": 0.44, + "learning_rate": 6.143989931889196e-06, + "loss": 0.5454, + "step": 15104 + }, + { + "epoch": 0.44, + "learning_rate": 6.143526778763076e-06, + "loss": 0.833, + "step": 15105 + }, + { + "epoch": 0.44, + "learning_rate": 6.143063615283218e-06, + "loss": 1.0497, + "step": 15106 + }, + { + "epoch": 0.44, + "learning_rate": 6.142600441453815e-06, + "loss": 0.6425, + "step": 15107 + }, + { + "epoch": 0.44, + "learning_rate": 6.142137257279062e-06, + "loss": 0.4899, + "step": 15108 + }, + { + "epoch": 0.44, + "learning_rate": 6.141674062763152e-06, + "loss": 0.9558, + "step": 15109 + }, + { + "epoch": 0.44, + "learning_rate": 6.141210857910278e-06, + "loss": 0.4602, + "step": 15110 + }, + { + "epoch": 0.44, + "learning_rate": 6.140747642724635e-06, + "loss": 0.8648, + "step": 15111 + }, + { + "epoch": 0.44, + "learning_rate": 6.140284417210418e-06, + "loss": 0.8512, + "step": 15112 + }, + { + "epoch": 0.44, + "learning_rate": 6.139821181371819e-06, + "loss": 0.6862, + "step": 15113 + }, + { + "epoch": 0.44, + "learning_rate": 6.139357935213034e-06, + "loss": 0.8463, + "step": 15114 + }, + { + "epoch": 0.44, + "learning_rate": 6.1388946787382555e-06, + "loss": 0.8114, + "step": 15115 + }, + { + "epoch": 0.44, + "learning_rate": 6.13843141195168e-06, + "loss": 1.0274, + "step": 15116 + }, + { + "epoch": 0.44, + "learning_rate": 6.137968134857499e-06, + "loss": 0.5651, + "step": 15117 + }, + { + "epoch": 0.44, + "learning_rate": 6.137504847459912e-06, + "loss": 0.7661, + "step": 15118 + }, + { + "epoch": 0.44, + "learning_rate": 6.1370415497631095e-06, + "loss": 0.7198, + "step": 15119 + }, + { + "epoch": 0.44, + "learning_rate": 6.136578241771288e-06, + "loss": 0.8201, + "step": 15120 + }, + { + "epoch": 0.44, + "learning_rate": 6.136114923488642e-06, + "loss": 0.6991, + "step": 15121 + }, + { + "epoch": 0.44, + "learning_rate": 6.135651594919366e-06, + "loss": 0.7222, + "step": 15122 + }, + { + "epoch": 0.44, + "learning_rate": 6.135188256067656e-06, + "loss": 0.8235, + "step": 15123 + }, + { + "epoch": 0.44, + "learning_rate": 6.134724906937707e-06, + "loss": 0.7288, + "step": 15124 + }, + { + "epoch": 0.44, + "learning_rate": 6.134261547533712e-06, + "loss": 0.8325, + "step": 15125 + }, + { + "epoch": 0.44, + "learning_rate": 6.13379817785987e-06, + "loss": 0.8037, + "step": 15126 + }, + { + "epoch": 0.44, + "learning_rate": 6.133334797920375e-06, + "loss": 0.6961, + "step": 15127 + }, + { + "epoch": 0.44, + "learning_rate": 6.132871407719422e-06, + "loss": 0.7869, + "step": 15128 + }, + { + "epoch": 0.44, + "learning_rate": 6.132408007261208e-06, + "loss": 0.683, + "step": 15129 + }, + { + "epoch": 0.44, + "learning_rate": 6.131944596549926e-06, + "loss": 0.642, + "step": 15130 + }, + { + "epoch": 0.44, + "learning_rate": 6.131481175589774e-06, + "loss": 0.6438, + "step": 15131 + }, + { + "epoch": 0.44, + "learning_rate": 6.131017744384947e-06, + "loss": 0.6452, + "step": 15132 + }, + { + "epoch": 0.44, + "learning_rate": 6.130554302939643e-06, + "loss": 0.6384, + "step": 15133 + }, + { + "epoch": 0.44, + "learning_rate": 6.130090851258056e-06, + "loss": 0.6235, + "step": 15134 + }, + { + "epoch": 0.44, + "learning_rate": 6.1296273893443814e-06, + "loss": 0.5005, + "step": 15135 + }, + { + "epoch": 0.44, + "learning_rate": 6.129163917202819e-06, + "loss": 0.7854, + "step": 15136 + }, + { + "epoch": 0.44, + "learning_rate": 6.128700434837561e-06, + "loss": 0.7518, + "step": 15137 + }, + { + "epoch": 0.44, + "learning_rate": 6.128236942252808e-06, + "loss": 0.7758, + "step": 15138 + }, + { + "epoch": 0.44, + "learning_rate": 6.127773439452751e-06, + "loss": 0.7241, + "step": 15139 + }, + { + "epoch": 0.44, + "learning_rate": 6.127309926441593e-06, + "loss": 0.6711, + "step": 15140 + }, + { + "epoch": 0.44, + "learning_rate": 6.126846403223529e-06, + "loss": 0.5878, + "step": 15141 + }, + { + "epoch": 0.44, + "learning_rate": 6.1263828698027525e-06, + "loss": 0.7849, + "step": 15142 + }, + { + "epoch": 0.44, + "learning_rate": 6.125919326183462e-06, + "loss": 0.6928, + "step": 15143 + }, + { + "epoch": 0.44, + "learning_rate": 6.125455772369856e-06, + "loss": 0.9266, + "step": 15144 + }, + { + "epoch": 0.44, + "learning_rate": 6.124992208366132e-06, + "loss": 0.6615, + "step": 15145 + }, + { + "epoch": 0.44, + "learning_rate": 6.124528634176484e-06, + "loss": 0.5493, + "step": 15146 + }, + { + "epoch": 0.45, + "learning_rate": 6.1240650498051126e-06, + "loss": 0.9335, + "step": 15147 + }, + { + "epoch": 0.45, + "learning_rate": 6.123601455256214e-06, + "loss": 0.8389, + "step": 15148 + }, + { + "epoch": 0.45, + "learning_rate": 6.123137850533984e-06, + "loss": 0.7435, + "step": 15149 + }, + { + "epoch": 0.45, + "learning_rate": 6.122674235642622e-06, + "loss": 0.7748, + "step": 15150 + }, + { + "epoch": 0.45, + "learning_rate": 6.122210610586327e-06, + "loss": 1.0291, + "step": 15151 + }, + { + "epoch": 0.45, + "learning_rate": 6.121746975369294e-06, + "loss": 0.4853, + "step": 15152 + }, + { + "epoch": 0.45, + "learning_rate": 6.121283329995722e-06, + "loss": 0.6714, + "step": 15153 + }, + { + "epoch": 0.45, + "learning_rate": 6.120819674469808e-06, + "loss": 0.5555, + "step": 15154 + }, + { + "epoch": 0.45, + "learning_rate": 6.120356008795752e-06, + "loss": 0.9181, + "step": 15155 + }, + { + "epoch": 0.45, + "learning_rate": 6.1198923329777515e-06, + "loss": 0.5984, + "step": 15156 + }, + { + "epoch": 0.45, + "learning_rate": 6.119428647020005e-06, + "loss": 0.7504, + "step": 15157 + }, + { + "epoch": 0.45, + "learning_rate": 6.118964950926709e-06, + "loss": 0.9978, + "step": 15158 + }, + { + "epoch": 0.45, + "learning_rate": 6.118501244702062e-06, + "loss": 0.7503, + "step": 15159 + }, + { + "epoch": 0.45, + "learning_rate": 6.1180375283502645e-06, + "loss": 0.7569, + "step": 15160 + }, + { + "epoch": 0.45, + "learning_rate": 6.117573801875515e-06, + "loss": 0.8872, + "step": 15161 + }, + { + "epoch": 0.45, + "learning_rate": 6.11711006528201e-06, + "loss": 0.8913, + "step": 15162 + }, + { + "epoch": 0.45, + "learning_rate": 6.116646318573951e-06, + "loss": 0.8891, + "step": 15163 + }, + { + "epoch": 0.45, + "learning_rate": 6.1161825617555345e-06, + "loss": 0.5549, + "step": 15164 + }, + { + "epoch": 0.45, + "learning_rate": 6.115718794830961e-06, + "loss": 0.8943, + "step": 15165 + }, + { + "epoch": 0.45, + "learning_rate": 6.115255017804429e-06, + "loss": 0.4738, + "step": 15166 + }, + { + "epoch": 0.45, + "learning_rate": 6.114791230680137e-06, + "loss": 0.4761, + "step": 15167 + }, + { + "epoch": 0.45, + "learning_rate": 6.114327433462286e-06, + "loss": 0.6124, + "step": 15168 + }, + { + "epoch": 0.45, + "learning_rate": 6.113863626155072e-06, + "loss": 0.7561, + "step": 15169 + }, + { + "epoch": 0.45, + "learning_rate": 6.113399808762698e-06, + "loss": 0.8183, + "step": 15170 + }, + { + "epoch": 0.45, + "learning_rate": 6.112935981289362e-06, + "loss": 0.9018, + "step": 15171 + }, + { + "epoch": 0.45, + "learning_rate": 6.112472143739263e-06, + "loss": 0.8596, + "step": 15172 + }, + { + "epoch": 0.45, + "learning_rate": 6.112008296116601e-06, + "loss": 0.5581, + "step": 15173 + }, + { + "epoch": 0.45, + "learning_rate": 6.111544438425576e-06, + "loss": 0.9868, + "step": 15174 + }, + { + "epoch": 0.45, + "learning_rate": 6.111080570670389e-06, + "loss": 0.7664, + "step": 15175 + }, + { + "epoch": 0.45, + "learning_rate": 6.110616692855239e-06, + "loss": 0.6346, + "step": 15176 + }, + { + "epoch": 0.45, + "learning_rate": 6.110152804984326e-06, + "loss": 0.5531, + "step": 15177 + }, + { + "epoch": 0.45, + "learning_rate": 6.10968890706185e-06, + "loss": 0.5939, + "step": 15178 + }, + { + "epoch": 0.45, + "learning_rate": 6.10922499909201e-06, + "loss": 0.7568, + "step": 15179 + }, + { + "epoch": 0.45, + "learning_rate": 6.108761081079009e-06, + "loss": 0.5161, + "step": 15180 + }, + { + "epoch": 0.45, + "learning_rate": 6.108297153027046e-06, + "loss": 0.6812, + "step": 15181 + }, + { + "epoch": 0.45, + "learning_rate": 6.1078332149403215e-06, + "loss": 0.6688, + "step": 15182 + }, + { + "epoch": 0.45, + "learning_rate": 6.107369266823037e-06, + "loss": 0.8383, + "step": 15183 + }, + { + "epoch": 0.45, + "learning_rate": 6.106905308679392e-06, + "loss": 0.7327, + "step": 15184 + }, + { + "epoch": 0.45, + "learning_rate": 6.106441340513587e-06, + "loss": 0.7902, + "step": 15185 + }, + { + "epoch": 0.45, + "learning_rate": 6.105977362329824e-06, + "loss": 0.7876, + "step": 15186 + }, + { + "epoch": 0.45, + "learning_rate": 6.105513374132302e-06, + "loss": 0.5664, + "step": 15187 + }, + { + "epoch": 0.45, + "learning_rate": 6.105049375925225e-06, + "loss": 0.9525, + "step": 15188 + }, + { + "epoch": 0.45, + "learning_rate": 6.104585367712792e-06, + "loss": 0.5493, + "step": 15189 + }, + { + "epoch": 0.45, + "learning_rate": 6.104121349499206e-06, + "loss": 0.7911, + "step": 15190 + }, + { + "epoch": 0.45, + "learning_rate": 6.103657321288665e-06, + "loss": 0.685, + "step": 15191 + }, + { + "epoch": 0.45, + "learning_rate": 6.103193283085375e-06, + "loss": 0.6542, + "step": 15192 + }, + { + "epoch": 0.45, + "learning_rate": 6.102729234893534e-06, + "loss": 0.7086, + "step": 15193 + }, + { + "epoch": 0.45, + "learning_rate": 6.1022651767173445e-06, + "loss": 0.7012, + "step": 15194 + }, + { + "epoch": 0.45, + "learning_rate": 6.1018011085610085e-06, + "loss": 0.8494, + "step": 15195 + }, + { + "epoch": 0.45, + "learning_rate": 6.101337030428729e-06, + "loss": 0.6949, + "step": 15196 + }, + { + "epoch": 0.45, + "learning_rate": 6.100872942324705e-06, + "loss": 0.7718, + "step": 15197 + }, + { + "epoch": 0.45, + "learning_rate": 6.10040884425314e-06, + "loss": 0.9353, + "step": 15198 + }, + { + "epoch": 0.45, + "learning_rate": 6.099944736218237e-06, + "loss": 0.5935, + "step": 15199 + }, + { + "epoch": 0.45, + "learning_rate": 6.0994806182241965e-06, + "loss": 0.7284, + "step": 15200 + }, + { + "epoch": 0.45, + "learning_rate": 6.099016490275223e-06, + "loss": 0.6255, + "step": 15201 + }, + { + "epoch": 0.45, + "learning_rate": 6.0985523523755154e-06, + "loss": 0.8958, + "step": 15202 + }, + { + "epoch": 0.45, + "learning_rate": 6.098088204529278e-06, + "loss": 1.0906, + "step": 15203 + }, + { + "epoch": 0.45, + "learning_rate": 6.097624046740714e-06, + "loss": 0.9231, + "step": 15204 + }, + { + "epoch": 0.45, + "learning_rate": 6.097159879014025e-06, + "loss": 0.8589, + "step": 15205 + }, + { + "epoch": 0.45, + "learning_rate": 6.0966957013534135e-06, + "loss": 0.8136, + "step": 15206 + }, + { + "epoch": 0.45, + "learning_rate": 6.096231513763083e-06, + "loss": 0.7483, + "step": 15207 + }, + { + "epoch": 0.45, + "learning_rate": 6.095767316247235e-06, + "loss": 0.9192, + "step": 15208 + }, + { + "epoch": 0.45, + "learning_rate": 6.095303108810074e-06, + "loss": 0.6713, + "step": 15209 + }, + { + "epoch": 0.45, + "learning_rate": 6.094838891455803e-06, + "loss": 0.556, + "step": 15210 + }, + { + "epoch": 0.45, + "learning_rate": 6.094374664188625e-06, + "loss": 0.772, + "step": 15211 + }, + { + "epoch": 0.45, + "learning_rate": 6.093910427012743e-06, + "loss": 0.9383, + "step": 15212 + }, + { + "epoch": 0.45, + "learning_rate": 6.093446179932358e-06, + "loss": 0.6652, + "step": 15213 + }, + { + "epoch": 0.45, + "learning_rate": 6.0929819229516765e-06, + "loss": 0.8563, + "step": 15214 + }, + { + "epoch": 0.45, + "learning_rate": 6.092517656074901e-06, + "loss": 0.5094, + "step": 15215 + }, + { + "epoch": 0.45, + "learning_rate": 6.0920533793062355e-06, + "loss": 0.8893, + "step": 15216 + }, + { + "epoch": 0.45, + "learning_rate": 6.0915890926498836e-06, + "loss": 0.6769, + "step": 15217 + }, + { + "epoch": 0.45, + "learning_rate": 6.091124796110047e-06, + "loss": 0.6503, + "step": 15218 + }, + { + "epoch": 0.45, + "learning_rate": 6.0906604896909325e-06, + "loss": 0.7703, + "step": 15219 + }, + { + "epoch": 0.45, + "learning_rate": 6.090196173396743e-06, + "loss": 1.1261, + "step": 15220 + }, + { + "epoch": 0.45, + "learning_rate": 6.089731847231682e-06, + "loss": 0.6109, + "step": 15221 + }, + { + "epoch": 0.45, + "learning_rate": 6.089267511199953e-06, + "loss": 0.8643, + "step": 15222 + }, + { + "epoch": 0.45, + "learning_rate": 6.088803165305762e-06, + "loss": 0.7905, + "step": 15223 + }, + { + "epoch": 0.45, + "learning_rate": 6.088338809553313e-06, + "loss": 0.7942, + "step": 15224 + }, + { + "epoch": 0.45, + "learning_rate": 6.087874443946809e-06, + "loss": 0.8105, + "step": 15225 + }, + { + "epoch": 0.45, + "learning_rate": 6.087410068490455e-06, + "loss": 0.8634, + "step": 15226 + }, + { + "epoch": 0.45, + "learning_rate": 6.0869456831884554e-06, + "loss": 0.565, + "step": 15227 + }, + { + "epoch": 0.45, + "learning_rate": 6.0864812880450155e-06, + "loss": 0.7634, + "step": 15228 + }, + { + "epoch": 0.45, + "learning_rate": 6.08601688306434e-06, + "loss": 0.9078, + "step": 15229 + }, + { + "epoch": 0.45, + "learning_rate": 6.0855524682506326e-06, + "loss": 0.6462, + "step": 15230 + }, + { + "epoch": 0.45, + "learning_rate": 6.0850880436081005e-06, + "loss": 0.7551, + "step": 15231 + }, + { + "epoch": 0.45, + "learning_rate": 6.084623609140946e-06, + "loss": 0.4688, + "step": 15232 + }, + { + "epoch": 0.45, + "learning_rate": 6.084159164853376e-06, + "loss": 0.6732, + "step": 15233 + }, + { + "epoch": 0.45, + "learning_rate": 6.083694710749595e-06, + "loss": 0.5468, + "step": 15234 + }, + { + "epoch": 0.45, + "learning_rate": 6.0832302468338085e-06, + "loss": 0.5412, + "step": 15235 + }, + { + "epoch": 0.45, + "learning_rate": 6.082765773110222e-06, + "loss": 0.6905, + "step": 15236 + }, + { + "epoch": 0.45, + "learning_rate": 6.08230128958304e-06, + "loss": 0.7276, + "step": 15237 + }, + { + "epoch": 0.45, + "learning_rate": 6.081836796256468e-06, + "loss": 0.9182, + "step": 15238 + }, + { + "epoch": 0.45, + "learning_rate": 6.081372293134716e-06, + "loss": 0.7858, + "step": 15239 + }, + { + "epoch": 0.45, + "learning_rate": 6.080907780221983e-06, + "loss": 0.8676, + "step": 15240 + }, + { + "epoch": 0.45, + "learning_rate": 6.080443257522478e-06, + "loss": 0.8524, + "step": 15241 + }, + { + "epoch": 0.45, + "learning_rate": 6.079978725040408e-06, + "loss": 0.5586, + "step": 15242 + }, + { + "epoch": 0.45, + "learning_rate": 6.0795141827799776e-06, + "loss": 0.8321, + "step": 15243 + }, + { + "epoch": 0.45, + "learning_rate": 6.079049630745393e-06, + "loss": 0.9373, + "step": 15244 + }, + { + "epoch": 0.45, + "learning_rate": 6.078585068940859e-06, + "loss": 0.7744, + "step": 15245 + }, + { + "epoch": 0.45, + "learning_rate": 6.078120497370584e-06, + "loss": 0.95, + "step": 15246 + }, + { + "epoch": 0.45, + "learning_rate": 6.077655916038774e-06, + "loss": 0.7496, + "step": 15247 + }, + { + "epoch": 0.45, + "learning_rate": 6.0771913249496335e-06, + "loss": 0.6999, + "step": 15248 + }, + { + "epoch": 0.45, + "learning_rate": 6.076726724107372e-06, + "loss": 0.6958, + "step": 15249 + }, + { + "epoch": 0.45, + "learning_rate": 6.0762621135161944e-06, + "loss": 0.7064, + "step": 15250 + }, + { + "epoch": 0.45, + "learning_rate": 6.0757974931803075e-06, + "loss": 0.8154, + "step": 15251 + }, + { + "epoch": 0.45, + "learning_rate": 6.075332863103918e-06, + "loss": 0.9334, + "step": 15252 + }, + { + "epoch": 0.45, + "learning_rate": 6.074868223291232e-06, + "loss": 0.9152, + "step": 15253 + }, + { + "epoch": 0.45, + "learning_rate": 6.074403573746458e-06, + "loss": 0.6283, + "step": 15254 + }, + { + "epoch": 0.45, + "learning_rate": 6.073938914473802e-06, + "loss": 0.592, + "step": 15255 + }, + { + "epoch": 0.45, + "learning_rate": 6.073474245477473e-06, + "loss": 0.9304, + "step": 15256 + }, + { + "epoch": 0.45, + "learning_rate": 6.073009566761676e-06, + "loss": 0.7635, + "step": 15257 + }, + { + "epoch": 0.45, + "learning_rate": 6.0725448783306175e-06, + "loss": 0.6549, + "step": 15258 + }, + { + "epoch": 0.45, + "learning_rate": 6.0720801801885076e-06, + "loss": 0.8832, + "step": 15259 + }, + { + "epoch": 0.45, + "learning_rate": 6.0716154723395525e-06, + "loss": 0.9364, + "step": 15260 + }, + { + "epoch": 0.45, + "learning_rate": 6.07115075478796e-06, + "loss": 0.9827, + "step": 15261 + }, + { + "epoch": 0.45, + "learning_rate": 6.0706860275379375e-06, + "loss": 0.7989, + "step": 15262 + }, + { + "epoch": 0.45, + "learning_rate": 6.070221290593693e-06, + "loss": 0.7376, + "step": 15263 + }, + { + "epoch": 0.45, + "learning_rate": 6.0697565439594345e-06, + "loss": 0.863, + "step": 15264 + }, + { + "epoch": 0.45, + "learning_rate": 6.069291787639369e-06, + "loss": 1.0906, + "step": 15265 + }, + { + "epoch": 0.45, + "learning_rate": 6.068827021637706e-06, + "loss": 0.597, + "step": 15266 + }, + { + "epoch": 0.45, + "learning_rate": 6.068362245958651e-06, + "loss": 0.6001, + "step": 15267 + }, + { + "epoch": 0.45, + "learning_rate": 6.067897460606414e-06, + "loss": 0.5417, + "step": 15268 + }, + { + "epoch": 0.45, + "learning_rate": 6.067432665585205e-06, + "loss": 0.6938, + "step": 15269 + }, + { + "epoch": 0.45, + "learning_rate": 6.066967860899229e-06, + "loss": 0.5651, + "step": 15270 + }, + { + "epoch": 0.45, + "learning_rate": 6.0665030465526955e-06, + "loss": 1.0411, + "step": 15271 + }, + { + "epoch": 0.45, + "learning_rate": 6.066038222549814e-06, + "loss": 1.1283, + "step": 15272 + }, + { + "epoch": 0.45, + "learning_rate": 6.0655733888947925e-06, + "loss": 0.779, + "step": 15273 + }, + { + "epoch": 0.45, + "learning_rate": 6.06510854559184e-06, + "loss": 0.6994, + "step": 15274 + }, + { + "epoch": 0.45, + "learning_rate": 6.064643692645165e-06, + "loss": 1.0215, + "step": 15275 + }, + { + "epoch": 0.45, + "learning_rate": 6.064178830058976e-06, + "loss": 0.8277, + "step": 15276 + }, + { + "epoch": 0.45, + "learning_rate": 6.063713957837482e-06, + "loss": 0.6533, + "step": 15277 + }, + { + "epoch": 0.45, + "learning_rate": 6.0632490759848936e-06, + "loss": 0.6174, + "step": 15278 + }, + { + "epoch": 0.45, + "learning_rate": 6.0627841845054195e-06, + "loss": 0.8083, + "step": 15279 + }, + { + "epoch": 0.45, + "learning_rate": 6.062319283403267e-06, + "loss": 0.8382, + "step": 15280 + }, + { + "epoch": 0.45, + "learning_rate": 6.061854372682646e-06, + "loss": 0.7769, + "step": 15281 + }, + { + "epoch": 0.45, + "learning_rate": 6.0613894523477675e-06, + "loss": 0.511, + "step": 15282 + }, + { + "epoch": 0.45, + "learning_rate": 6.06092452240284e-06, + "loss": 0.7053, + "step": 15283 + }, + { + "epoch": 0.45, + "learning_rate": 6.0604595828520744e-06, + "loss": 0.876, + "step": 15284 + }, + { + "epoch": 0.45, + "learning_rate": 6.059994633699677e-06, + "loss": 0.8108, + "step": 15285 + }, + { + "epoch": 0.45, + "learning_rate": 6.05952967494986e-06, + "loss": 0.7418, + "step": 15286 + }, + { + "epoch": 0.45, + "learning_rate": 6.059064706606833e-06, + "loss": 0.7337, + "step": 15287 + }, + { + "epoch": 0.45, + "learning_rate": 6.0585997286748055e-06, + "loss": 0.6448, + "step": 15288 + }, + { + "epoch": 0.45, + "learning_rate": 6.058134741157988e-06, + "loss": 0.7121, + "step": 15289 + }, + { + "epoch": 0.45, + "learning_rate": 6.057669744060592e-06, + "loss": 0.8881, + "step": 15290 + }, + { + "epoch": 0.45, + "learning_rate": 6.057204737386824e-06, + "loss": 0.6737, + "step": 15291 + }, + { + "epoch": 0.45, + "learning_rate": 6.056739721140896e-06, + "loss": 0.635, + "step": 15292 + }, + { + "epoch": 0.45, + "learning_rate": 6.05627469532702e-06, + "loss": 0.7476, + "step": 15293 + }, + { + "epoch": 0.45, + "learning_rate": 6.0558096599494055e-06, + "loss": 0.7399, + "step": 15294 + }, + { + "epoch": 0.45, + "learning_rate": 6.055344615012262e-06, + "loss": 0.9972, + "step": 15295 + }, + { + "epoch": 0.45, + "learning_rate": 6.054879560519801e-06, + "loss": 0.8159, + "step": 15296 + }, + { + "epoch": 0.45, + "learning_rate": 6.054414496476232e-06, + "loss": 0.5331, + "step": 15297 + }, + { + "epoch": 0.45, + "learning_rate": 6.0539494228857674e-06, + "loss": 0.8391, + "step": 15298 + }, + { + "epoch": 0.45, + "learning_rate": 6.053484339752617e-06, + "loss": 0.6834, + "step": 15299 + }, + { + "epoch": 0.45, + "learning_rate": 6.053019247080994e-06, + "loss": 0.6896, + "step": 15300 + }, + { + "epoch": 0.45, + "learning_rate": 6.052554144875106e-06, + "loss": 0.9974, + "step": 15301 + }, + { + "epoch": 0.45, + "learning_rate": 6.052089033139165e-06, + "loss": 0.7517, + "step": 15302 + }, + { + "epoch": 0.45, + "learning_rate": 6.051623911877387e-06, + "loss": 0.7384, + "step": 15303 + }, + { + "epoch": 0.45, + "learning_rate": 6.051158781093977e-06, + "loss": 0.827, + "step": 15304 + }, + { + "epoch": 0.45, + "learning_rate": 6.050693640793147e-06, + "loss": 0.6645, + "step": 15305 + }, + { + "epoch": 0.45, + "learning_rate": 6.050228490979112e-06, + "loss": 0.7219, + "step": 15306 + }, + { + "epoch": 0.45, + "learning_rate": 6.049763331656081e-06, + "loss": 0.5919, + "step": 15307 + }, + { + "epoch": 0.45, + "learning_rate": 6.049298162828267e-06, + "loss": 0.7226, + "step": 15308 + }, + { + "epoch": 0.45, + "learning_rate": 6.0488329844998805e-06, + "loss": 0.6937, + "step": 15309 + }, + { + "epoch": 0.45, + "learning_rate": 6.048367796675135e-06, + "loss": 0.7646, + "step": 15310 + }, + { + "epoch": 0.45, + "learning_rate": 6.047902599358241e-06, + "loss": 0.9255, + "step": 15311 + }, + { + "epoch": 0.45, + "learning_rate": 6.04743739255341e-06, + "loss": 0.762, + "step": 15312 + }, + { + "epoch": 0.45, + "learning_rate": 6.046972176264856e-06, + "loss": 0.6797, + "step": 15313 + }, + { + "epoch": 0.45, + "learning_rate": 6.0465069504967895e-06, + "loss": 0.6585, + "step": 15314 + }, + { + "epoch": 0.45, + "learning_rate": 6.046041715253425e-06, + "loss": 0.8611, + "step": 15315 + }, + { + "epoch": 0.45, + "learning_rate": 6.045576470538972e-06, + "loss": 0.7309, + "step": 15316 + }, + { + "epoch": 0.45, + "learning_rate": 6.045111216357643e-06, + "loss": 0.6629, + "step": 15317 + }, + { + "epoch": 0.45, + "learning_rate": 6.0446459527136536e-06, + "loss": 0.8199, + "step": 15318 + }, + { + "epoch": 0.45, + "learning_rate": 6.0441806796112135e-06, + "loss": 0.7726, + "step": 15319 + }, + { + "epoch": 0.45, + "learning_rate": 6.043715397054537e-06, + "loss": 0.5942, + "step": 15320 + }, + { + "epoch": 0.45, + "learning_rate": 6.043250105047836e-06, + "loss": 0.8878, + "step": 15321 + }, + { + "epoch": 0.45, + "learning_rate": 6.042784803595323e-06, + "loss": 0.5179, + "step": 15322 + }, + { + "epoch": 0.45, + "learning_rate": 6.042319492701212e-06, + "loss": 0.6888, + "step": 15323 + }, + { + "epoch": 0.45, + "learning_rate": 6.041854172369716e-06, + "loss": 0.7124, + "step": 15324 + }, + { + "epoch": 0.45, + "learning_rate": 6.041388842605047e-06, + "loss": 0.8625, + "step": 15325 + }, + { + "epoch": 0.45, + "learning_rate": 6.04092350341142e-06, + "loss": 0.5929, + "step": 15326 + }, + { + "epoch": 0.45, + "learning_rate": 6.040458154793046e-06, + "loss": 0.9365, + "step": 15327 + }, + { + "epoch": 0.45, + "learning_rate": 6.039992796754141e-06, + "loss": 0.7216, + "step": 15328 + }, + { + "epoch": 0.45, + "learning_rate": 6.039527429298915e-06, + "loss": 0.8505, + "step": 15329 + }, + { + "epoch": 0.45, + "learning_rate": 6.039062052431585e-06, + "loss": 0.9255, + "step": 15330 + }, + { + "epoch": 0.45, + "learning_rate": 6.038596666156362e-06, + "loss": 0.8499, + "step": 15331 + }, + { + "epoch": 0.45, + "learning_rate": 6.038131270477461e-06, + "loss": 0.7592, + "step": 15332 + }, + { + "epoch": 0.45, + "learning_rate": 6.037665865399095e-06, + "loss": 0.8011, + "step": 15333 + }, + { + "epoch": 0.45, + "learning_rate": 6.03720045092548e-06, + "loss": 0.7793, + "step": 15334 + }, + { + "epoch": 0.45, + "learning_rate": 6.036735027060828e-06, + "loss": 0.789, + "step": 15335 + }, + { + "epoch": 0.45, + "learning_rate": 6.036269593809352e-06, + "loss": 0.535, + "step": 15336 + }, + { + "epoch": 0.45, + "learning_rate": 6.03580415117527e-06, + "loss": 0.6061, + "step": 15337 + }, + { + "epoch": 0.45, + "learning_rate": 6.0353386991627925e-06, + "loss": 0.6976, + "step": 15338 + }, + { + "epoch": 0.45, + "learning_rate": 6.034873237776135e-06, + "loss": 0.6026, + "step": 15339 + }, + { + "epoch": 0.45, + "learning_rate": 6.034407767019513e-06, + "loss": 0.764, + "step": 15340 + }, + { + "epoch": 0.45, + "learning_rate": 6.0339422868971386e-06, + "loss": 0.8647, + "step": 15341 + }, + { + "epoch": 0.45, + "learning_rate": 6.033476797413229e-06, + "loss": 0.8836, + "step": 15342 + }, + { + "epoch": 0.45, + "learning_rate": 6.033011298571998e-06, + "loss": 0.7878, + "step": 15343 + }, + { + "epoch": 0.45, + "learning_rate": 6.0325457903776595e-06, + "loss": 0.9179, + "step": 15344 + }, + { + "epoch": 0.45, + "learning_rate": 6.032080272834429e-06, + "loss": 0.616, + "step": 15345 + }, + { + "epoch": 0.45, + "learning_rate": 6.03161474594652e-06, + "loss": 0.6918, + "step": 15346 + }, + { + "epoch": 0.45, + "learning_rate": 6.03114920971815e-06, + "loss": 0.7965, + "step": 15347 + }, + { + "epoch": 0.45, + "learning_rate": 6.030683664153531e-06, + "loss": 0.6135, + "step": 15348 + }, + { + "epoch": 0.45, + "learning_rate": 6.030218109256882e-06, + "loss": 0.9561, + "step": 15349 + }, + { + "epoch": 0.45, + "learning_rate": 6.0297525450324155e-06, + "loss": 0.7444, + "step": 15350 + }, + { + "epoch": 0.45, + "learning_rate": 6.0292869714843464e-06, + "loss": 0.5653, + "step": 15351 + }, + { + "epoch": 0.45, + "learning_rate": 6.028821388616891e-06, + "loss": 0.6249, + "step": 15352 + }, + { + "epoch": 0.45, + "learning_rate": 6.028355796434266e-06, + "loss": 0.9048, + "step": 15353 + }, + { + "epoch": 0.45, + "learning_rate": 6.027890194940685e-06, + "loss": 0.947, + "step": 15354 + }, + { + "epoch": 0.45, + "learning_rate": 6.0274245841403656e-06, + "loss": 0.7761, + "step": 15355 + }, + { + "epoch": 0.45, + "learning_rate": 6.026958964037522e-06, + "loss": 0.7071, + "step": 15356 + }, + { + "epoch": 0.45, + "learning_rate": 6.0264933346363695e-06, + "loss": 0.7014, + "step": 15357 + }, + { + "epoch": 0.45, + "learning_rate": 6.026027695941125e-06, + "loss": 0.8144, + "step": 15358 + }, + { + "epoch": 0.45, + "learning_rate": 6.025562047956006e-06, + "loss": 0.7728, + "step": 15359 + }, + { + "epoch": 0.45, + "learning_rate": 6.025096390685228e-06, + "loss": 0.6677, + "step": 15360 + }, + { + "epoch": 0.45, + "learning_rate": 6.024630724133003e-06, + "loss": 0.9181, + "step": 15361 + }, + { + "epoch": 0.45, + "learning_rate": 6.024165048303552e-06, + "loss": 0.7605, + "step": 15362 + }, + { + "epoch": 0.45, + "learning_rate": 6.02369936320109e-06, + "loss": 0.6056, + "step": 15363 + }, + { + "epoch": 0.45, + "learning_rate": 6.023233668829833e-06, + "loss": 0.7122, + "step": 15364 + }, + { + "epoch": 0.45, + "learning_rate": 6.022767965193998e-06, + "loss": 0.7459, + "step": 15365 + }, + { + "epoch": 0.45, + "learning_rate": 6.022302252297802e-06, + "loss": 0.7445, + "step": 15366 + }, + { + "epoch": 0.45, + "learning_rate": 6.02183653014546e-06, + "loss": 0.8991, + "step": 15367 + }, + { + "epoch": 0.45, + "learning_rate": 6.021370798741191e-06, + "loss": 0.5797, + "step": 15368 + }, + { + "epoch": 0.45, + "learning_rate": 6.020905058089208e-06, + "loss": 0.6224, + "step": 15369 + }, + { + "epoch": 0.45, + "learning_rate": 6.020439308193733e-06, + "loss": 0.5905, + "step": 15370 + }, + { + "epoch": 0.45, + "learning_rate": 6.0199735490589785e-06, + "loss": 0.5965, + "step": 15371 + }, + { + "epoch": 0.45, + "learning_rate": 6.019507780689164e-06, + "loss": 0.8417, + "step": 15372 + }, + { + "epoch": 0.45, + "learning_rate": 6.019042003088507e-06, + "loss": 1.0228, + "step": 15373 + }, + { + "epoch": 0.45, + "learning_rate": 6.018576216261224e-06, + "loss": 1.0528, + "step": 15374 + }, + { + "epoch": 0.45, + "learning_rate": 6.018110420211531e-06, + "loss": 0.7208, + "step": 15375 + }, + { + "epoch": 0.45, + "learning_rate": 6.017644614943647e-06, + "loss": 0.9288, + "step": 15376 + }, + { + "epoch": 0.45, + "learning_rate": 6.0171788004617904e-06, + "loss": 0.7764, + "step": 15377 + }, + { + "epoch": 0.45, + "learning_rate": 6.016712976770177e-06, + "loss": 0.6473, + "step": 15378 + }, + { + "epoch": 0.45, + "learning_rate": 6.0162471438730255e-06, + "loss": 0.6475, + "step": 15379 + }, + { + "epoch": 0.45, + "learning_rate": 6.015781301774552e-06, + "loss": 0.8244, + "step": 15380 + }, + { + "epoch": 0.45, + "learning_rate": 6.015315450478976e-06, + "loss": 0.4791, + "step": 15381 + }, + { + "epoch": 0.45, + "learning_rate": 6.014849589990516e-06, + "loss": 0.8037, + "step": 15382 + }, + { + "epoch": 0.45, + "learning_rate": 6.014383720313388e-06, + "loss": 0.6291, + "step": 15383 + }, + { + "epoch": 0.45, + "learning_rate": 6.0139178414518116e-06, + "loss": 0.8883, + "step": 15384 + }, + { + "epoch": 0.45, + "learning_rate": 6.013451953410004e-06, + "loss": 0.8232, + "step": 15385 + }, + { + "epoch": 0.45, + "learning_rate": 6.012986056192185e-06, + "loss": 0.7243, + "step": 15386 + }, + { + "epoch": 0.45, + "learning_rate": 6.012520149802569e-06, + "loss": 0.7471, + "step": 15387 + }, + { + "epoch": 0.45, + "learning_rate": 6.012054234245381e-06, + "loss": 0.7805, + "step": 15388 + }, + { + "epoch": 0.45, + "learning_rate": 6.011588309524834e-06, + "loss": 0.6316, + "step": 15389 + }, + { + "epoch": 0.45, + "learning_rate": 6.011122375645147e-06, + "loss": 0.868, + "step": 15390 + }, + { + "epoch": 0.45, + "learning_rate": 6.010656432610541e-06, + "loss": 0.4942, + "step": 15391 + }, + { + "epoch": 0.45, + "learning_rate": 6.010190480425234e-06, + "loss": 0.8127, + "step": 15392 + }, + { + "epoch": 0.45, + "learning_rate": 6.009724519093445e-06, + "loss": 0.7228, + "step": 15393 + }, + { + "epoch": 0.45, + "learning_rate": 6.009258548619392e-06, + "loss": 0.9972, + "step": 15394 + }, + { + "epoch": 0.45, + "learning_rate": 6.008792569007294e-06, + "loss": 0.5243, + "step": 15395 + }, + { + "epoch": 0.45, + "learning_rate": 6.00832658026137e-06, + "loss": 0.6385, + "step": 15396 + }, + { + "epoch": 0.45, + "learning_rate": 6.007860582385841e-06, + "loss": 0.8099, + "step": 15397 + }, + { + "epoch": 0.45, + "learning_rate": 6.0073945753849246e-06, + "loss": 0.7026, + "step": 15398 + }, + { + "epoch": 0.45, + "learning_rate": 6.006928559262841e-06, + "loss": 0.5593, + "step": 15399 + }, + { + "epoch": 0.45, + "learning_rate": 6.006462534023809e-06, + "loss": 0.5363, + "step": 15400 + }, + { + "epoch": 0.45, + "learning_rate": 6.005996499672047e-06, + "loss": 0.6705, + "step": 15401 + }, + { + "epoch": 0.45, + "learning_rate": 6.005530456211777e-06, + "loss": 0.7252, + "step": 15402 + }, + { + "epoch": 0.45, + "learning_rate": 6.005064403647216e-06, + "loss": 0.8758, + "step": 15403 + }, + { + "epoch": 0.45, + "learning_rate": 6.004598341982587e-06, + "loss": 0.8033, + "step": 15404 + }, + { + "epoch": 0.45, + "learning_rate": 6.004132271222107e-06, + "loss": 0.8371, + "step": 15405 + }, + { + "epoch": 0.45, + "learning_rate": 6.003666191369996e-06, + "loss": 0.543, + "step": 15406 + }, + { + "epoch": 0.45, + "learning_rate": 6.0032001024304775e-06, + "loss": 0.6387, + "step": 15407 + }, + { + "epoch": 0.45, + "learning_rate": 6.002734004407766e-06, + "loss": 0.684, + "step": 15408 + }, + { + "epoch": 0.45, + "learning_rate": 6.002267897306086e-06, + "loss": 0.8567, + "step": 15409 + }, + { + "epoch": 0.45, + "learning_rate": 6.001801781129657e-06, + "loss": 0.4867, + "step": 15410 + }, + { + "epoch": 0.45, + "learning_rate": 6.001335655882697e-06, + "loss": 0.5387, + "step": 15411 + }, + { + "epoch": 0.45, + "learning_rate": 6.00086952156943e-06, + "loss": 0.6677, + "step": 15412 + }, + { + "epoch": 0.45, + "learning_rate": 6.0004033781940726e-06, + "loss": 0.9212, + "step": 15413 + }, + { + "epoch": 0.45, + "learning_rate": 5.999937225760849e-06, + "loss": 0.9184, + "step": 15414 + }, + { + "epoch": 0.45, + "learning_rate": 5.999471064273976e-06, + "loss": 1.0568, + "step": 15415 + }, + { + "epoch": 0.45, + "learning_rate": 5.999004893737679e-06, + "loss": 0.7052, + "step": 15416 + }, + { + "epoch": 0.45, + "learning_rate": 5.998538714156175e-06, + "loss": 0.7221, + "step": 15417 + }, + { + "epoch": 0.45, + "learning_rate": 5.998072525533686e-06, + "loss": 0.8641, + "step": 15418 + }, + { + "epoch": 0.45, + "learning_rate": 5.997606327874433e-06, + "loss": 0.7237, + "step": 15419 + }, + { + "epoch": 0.45, + "learning_rate": 5.997140121182637e-06, + "loss": 0.8773, + "step": 15420 + }, + { + "epoch": 0.45, + "learning_rate": 5.99667390546252e-06, + "loss": 0.6598, + "step": 15421 + }, + { + "epoch": 0.45, + "learning_rate": 5.996207680718304e-06, + "loss": 0.5675, + "step": 15422 + }, + { + "epoch": 0.45, + "learning_rate": 5.995741446954206e-06, + "loss": 0.7921, + "step": 15423 + }, + { + "epoch": 0.45, + "learning_rate": 5.995275204174452e-06, + "loss": 0.6537, + "step": 15424 + }, + { + "epoch": 0.45, + "learning_rate": 5.994808952383262e-06, + "loss": 0.5925, + "step": 15425 + }, + { + "epoch": 0.45, + "learning_rate": 5.994342691584855e-06, + "loss": 0.9749, + "step": 15426 + }, + { + "epoch": 0.45, + "learning_rate": 5.9938764217834574e-06, + "loss": 0.8636, + "step": 15427 + }, + { + "epoch": 0.45, + "learning_rate": 5.993410142983287e-06, + "loss": 0.6666, + "step": 15428 + }, + { + "epoch": 0.45, + "learning_rate": 5.9929438551885675e-06, + "loss": 0.5842, + "step": 15429 + }, + { + "epoch": 0.45, + "learning_rate": 5.992477558403519e-06, + "loss": 0.5492, + "step": 15430 + }, + { + "epoch": 0.45, + "learning_rate": 5.992011252632366e-06, + "loss": 0.9881, + "step": 15431 + }, + { + "epoch": 0.45, + "learning_rate": 5.991544937879329e-06, + "loss": 0.7426, + "step": 15432 + }, + { + "epoch": 0.45, + "learning_rate": 5.9910786141486296e-06, + "loss": 0.8894, + "step": 15433 + }, + { + "epoch": 0.45, + "learning_rate": 5.990612281444492e-06, + "loss": 0.739, + "step": 15434 + }, + { + "epoch": 0.45, + "learning_rate": 5.990145939771136e-06, + "loss": 0.6163, + "step": 15435 + }, + { + "epoch": 0.45, + "learning_rate": 5.989679589132785e-06, + "loss": 0.8259, + "step": 15436 + }, + { + "epoch": 0.45, + "learning_rate": 5.989213229533663e-06, + "loss": 0.9457, + "step": 15437 + }, + { + "epoch": 0.45, + "learning_rate": 5.988746860977989e-06, + "loss": 0.6972, + "step": 15438 + }, + { + "epoch": 0.45, + "learning_rate": 5.98828048346999e-06, + "loss": 0.5584, + "step": 15439 + }, + { + "epoch": 0.45, + "learning_rate": 5.987814097013886e-06, + "loss": 0.7692, + "step": 15440 + }, + { + "epoch": 0.45, + "learning_rate": 5.987347701613899e-06, + "loss": 0.7685, + "step": 15441 + }, + { + "epoch": 0.45, + "learning_rate": 5.986881297274254e-06, + "loss": 0.6488, + "step": 15442 + }, + { + "epoch": 0.45, + "learning_rate": 5.986414883999172e-06, + "loss": 0.5105, + "step": 15443 + }, + { + "epoch": 0.45, + "learning_rate": 5.985948461792878e-06, + "loss": 0.7323, + "step": 15444 + }, + { + "epoch": 0.45, + "learning_rate": 5.985482030659593e-06, + "loss": 0.9667, + "step": 15445 + }, + { + "epoch": 0.45, + "learning_rate": 5.985015590603543e-06, + "loss": 0.7912, + "step": 15446 + }, + { + "epoch": 0.45, + "learning_rate": 5.984549141628948e-06, + "loss": 0.9208, + "step": 15447 + }, + { + "epoch": 0.45, + "learning_rate": 5.984082683740032e-06, + "loss": 0.8388, + "step": 15448 + }, + { + "epoch": 0.45, + "learning_rate": 5.983616216941021e-06, + "loss": 0.951, + "step": 15449 + }, + { + "epoch": 0.45, + "learning_rate": 5.983149741236135e-06, + "loss": 0.8262, + "step": 15450 + }, + { + "epoch": 0.45, + "learning_rate": 5.9826832566296e-06, + "loss": 0.8092, + "step": 15451 + }, + { + "epoch": 0.45, + "learning_rate": 5.982216763125639e-06, + "loss": 1.0492, + "step": 15452 + }, + { + "epoch": 0.45, + "learning_rate": 5.981750260728475e-06, + "loss": 0.8706, + "step": 15453 + }, + { + "epoch": 0.45, + "learning_rate": 5.981283749442333e-06, + "loss": 0.6596, + "step": 15454 + }, + { + "epoch": 0.45, + "learning_rate": 5.980817229271436e-06, + "loss": 0.7766, + "step": 15455 + }, + { + "epoch": 0.45, + "learning_rate": 5.980350700220009e-06, + "loss": 0.6321, + "step": 15456 + }, + { + "epoch": 0.45, + "learning_rate": 5.979884162292275e-06, + "loss": 0.4786, + "step": 15457 + }, + { + "epoch": 0.45, + "learning_rate": 5.979417615492458e-06, + "loss": 0.9104, + "step": 15458 + }, + { + "epoch": 0.45, + "learning_rate": 5.978951059824783e-06, + "loss": 0.6336, + "step": 15459 + }, + { + "epoch": 0.45, + "learning_rate": 5.978484495293474e-06, + "loss": 0.6537, + "step": 15460 + }, + { + "epoch": 0.45, + "learning_rate": 5.978017921902755e-06, + "loss": 0.8054, + "step": 15461 + }, + { + "epoch": 0.45, + "learning_rate": 5.977551339656852e-06, + "loss": 0.6663, + "step": 15462 + }, + { + "epoch": 0.45, + "learning_rate": 5.977084748559988e-06, + "loss": 0.7124, + "step": 15463 + }, + { + "epoch": 0.45, + "learning_rate": 5.976618148616387e-06, + "loss": 0.7411, + "step": 15464 + }, + { + "epoch": 0.45, + "learning_rate": 5.976151539830275e-06, + "loss": 0.4362, + "step": 15465 + }, + { + "epoch": 0.45, + "learning_rate": 5.975684922205878e-06, + "loss": 0.7662, + "step": 15466 + }, + { + "epoch": 0.45, + "learning_rate": 5.975218295747419e-06, + "loss": 0.7102, + "step": 15467 + }, + { + "epoch": 0.45, + "learning_rate": 5.974751660459123e-06, + "loss": 0.89, + "step": 15468 + }, + { + "epoch": 0.45, + "learning_rate": 5.974285016345214e-06, + "loss": 0.767, + "step": 15469 + }, + { + "epoch": 0.45, + "learning_rate": 5.973818363409919e-06, + "loss": 0.6454, + "step": 15470 + }, + { + "epoch": 0.45, + "learning_rate": 5.973351701657463e-06, + "loss": 0.9248, + "step": 15471 + }, + { + "epoch": 0.45, + "learning_rate": 5.97288503109207e-06, + "loss": 0.7514, + "step": 15472 + }, + { + "epoch": 0.45, + "learning_rate": 5.972418351717968e-06, + "loss": 0.6577, + "step": 15473 + }, + { + "epoch": 0.45, + "learning_rate": 5.971951663539378e-06, + "loss": 0.6277, + "step": 15474 + }, + { + "epoch": 0.45, + "learning_rate": 5.971484966560529e-06, + "loss": 0.6677, + "step": 15475 + }, + { + "epoch": 0.45, + "learning_rate": 5.971018260785646e-06, + "loss": 0.8836, + "step": 15476 + }, + { + "epoch": 0.45, + "learning_rate": 5.970551546218955e-06, + "loss": 0.6795, + "step": 15477 + }, + { + "epoch": 0.45, + "learning_rate": 5.97008482286468e-06, + "loss": 0.9335, + "step": 15478 + }, + { + "epoch": 0.45, + "learning_rate": 5.969618090727047e-06, + "loss": 0.8659, + "step": 15479 + }, + { + "epoch": 0.45, + "learning_rate": 5.9691513498102836e-06, + "loss": 0.6987, + "step": 15480 + }, + { + "epoch": 0.45, + "learning_rate": 5.968684600118616e-06, + "loss": 0.6368, + "step": 15481 + }, + { + "epoch": 0.45, + "learning_rate": 5.968217841656269e-06, + "loss": 0.6669, + "step": 15482 + }, + { + "epoch": 0.45, + "learning_rate": 5.967751074427468e-06, + "loss": 0.7438, + "step": 15483 + }, + { + "epoch": 0.45, + "learning_rate": 5.967284298436439e-06, + "loss": 0.7197, + "step": 15484 + }, + { + "epoch": 0.45, + "learning_rate": 5.966817513687411e-06, + "loss": 0.7624, + "step": 15485 + }, + { + "epoch": 0.45, + "learning_rate": 5.966350720184608e-06, + "loss": 0.7182, + "step": 15486 + }, + { + "epoch": 0.45, + "learning_rate": 5.965883917932258e-06, + "loss": 0.837, + "step": 15487 + }, + { + "epoch": 0.46, + "learning_rate": 5.965417106934585e-06, + "loss": 0.6283, + "step": 15488 + }, + { + "epoch": 0.46, + "learning_rate": 5.96495028719582e-06, + "loss": 0.6999, + "step": 15489 + }, + { + "epoch": 0.46, + "learning_rate": 5.964483458720186e-06, + "loss": 0.6143, + "step": 15490 + }, + { + "epoch": 0.46, + "learning_rate": 5.96401662151191e-06, + "loss": 1.0196, + "step": 15491 + }, + { + "epoch": 0.46, + "learning_rate": 5.9635497755752205e-06, + "loss": 0.7601, + "step": 15492 + }, + { + "epoch": 0.46, + "learning_rate": 5.963082920914344e-06, + "loss": 0.6484, + "step": 15493 + }, + { + "epoch": 0.46, + "learning_rate": 5.962616057533505e-06, + "loss": 0.8938, + "step": 15494 + }, + { + "epoch": 0.46, + "learning_rate": 5.962149185436934e-06, + "loss": 0.6864, + "step": 15495 + }, + { + "epoch": 0.46, + "learning_rate": 5.961682304628856e-06, + "loss": 0.9838, + "step": 15496 + }, + { + "epoch": 0.46, + "learning_rate": 5.9612154151135e-06, + "loss": 0.779, + "step": 15497 + }, + { + "epoch": 0.46, + "learning_rate": 5.960748516895092e-06, + "loss": 0.6782, + "step": 15498 + }, + { + "epoch": 0.46, + "learning_rate": 5.960281609977859e-06, + "loss": 0.768, + "step": 15499 + }, + { + "epoch": 0.46, + "learning_rate": 5.95981469436603e-06, + "loss": 0.5341, + "step": 15500 + }, + { + "epoch": 0.46, + "learning_rate": 5.9593477700638325e-06, + "loss": 0.8209, + "step": 15501 + }, + { + "epoch": 0.46, + "learning_rate": 5.958880837075492e-06, + "loss": 0.6613, + "step": 15502 + }, + { + "epoch": 0.46, + "learning_rate": 5.95841389540524e-06, + "loss": 0.9194, + "step": 15503 + }, + { + "epoch": 0.46, + "learning_rate": 5.957946945057299e-06, + "loss": 0.6148, + "step": 15504 + }, + { + "epoch": 0.46, + "learning_rate": 5.957479986035901e-06, + "loss": 0.6913, + "step": 15505 + }, + { + "epoch": 0.46, + "learning_rate": 5.957013018345272e-06, + "loss": 0.4974, + "step": 15506 + }, + { + "epoch": 0.46, + "learning_rate": 5.956546041989643e-06, + "loss": 0.853, + "step": 15507 + }, + { + "epoch": 0.46, + "learning_rate": 5.956079056973238e-06, + "loss": 0.9255, + "step": 15508 + }, + { + "epoch": 0.46, + "learning_rate": 5.955612063300288e-06, + "loss": 0.9404, + "step": 15509 + }, + { + "epoch": 0.46, + "learning_rate": 5.955145060975021e-06, + "loss": 0.7549, + "step": 15510 + }, + { + "epoch": 0.46, + "learning_rate": 5.954678050001663e-06, + "loss": 0.9624, + "step": 15511 + }, + { + "epoch": 0.46, + "learning_rate": 5.954211030384445e-06, + "loss": 0.523, + "step": 15512 + }, + { + "epoch": 0.46, + "learning_rate": 5.953744002127594e-06, + "loss": 0.7397, + "step": 15513 + }, + { + "epoch": 0.46, + "learning_rate": 5.953276965235338e-06, + "loss": 0.8339, + "step": 15514 + }, + { + "epoch": 0.46, + "learning_rate": 5.952809919711908e-06, + "loss": 0.8334, + "step": 15515 + }, + { + "epoch": 0.46, + "learning_rate": 5.9523428655615326e-06, + "loss": 0.5217, + "step": 15516 + }, + { + "epoch": 0.46, + "learning_rate": 5.951875802788438e-06, + "loss": 0.7587, + "step": 15517 + }, + { + "epoch": 0.46, + "learning_rate": 5.951408731396856e-06, + "loss": 0.6832, + "step": 15518 + }, + { + "epoch": 0.46, + "learning_rate": 5.950941651391012e-06, + "loss": 0.621, + "step": 15519 + }, + { + "epoch": 0.46, + "learning_rate": 5.950474562775139e-06, + "loss": 0.7939, + "step": 15520 + }, + { + "epoch": 0.46, + "learning_rate": 5.950007465553465e-06, + "loss": 0.6859, + "step": 15521 + }, + { + "epoch": 0.46, + "learning_rate": 5.949540359730217e-06, + "loss": 0.6767, + "step": 15522 + }, + { + "epoch": 0.46, + "learning_rate": 5.949073245309627e-06, + "loss": 0.6932, + "step": 15523 + }, + { + "epoch": 0.46, + "learning_rate": 5.948606122295921e-06, + "loss": 0.5233, + "step": 15524 + }, + { + "epoch": 0.46, + "learning_rate": 5.948138990693332e-06, + "loss": 0.7136, + "step": 15525 + }, + { + "epoch": 0.46, + "learning_rate": 5.9476718505060895e-06, + "loss": 0.8361, + "step": 15526 + }, + { + "epoch": 0.46, + "learning_rate": 5.947204701738421e-06, + "loss": 0.9141, + "step": 15527 + }, + { + "epoch": 0.46, + "learning_rate": 5.9467375443945556e-06, + "loss": 0.7119, + "step": 15528 + }, + { + "epoch": 0.46, + "learning_rate": 5.9462703784787244e-06, + "loss": 0.9736, + "step": 15529 + }, + { + "epoch": 0.46, + "learning_rate": 5.9458032039951584e-06, + "loss": 0.767, + "step": 15530 + }, + { + "epoch": 0.46, + "learning_rate": 5.945336020948086e-06, + "loss": 0.7284, + "step": 15531 + }, + { + "epoch": 0.46, + "learning_rate": 5.944868829341738e-06, + "loss": 0.7489, + "step": 15532 + }, + { + "epoch": 0.46, + "learning_rate": 5.944401629180342e-06, + "loss": 0.4915, + "step": 15533 + }, + { + "epoch": 0.46, + "learning_rate": 5.9439344204681304e-06, + "loss": 0.6838, + "step": 15534 + }, + { + "epoch": 0.46, + "learning_rate": 5.9434672032093345e-06, + "loss": 0.8139, + "step": 15535 + }, + { + "epoch": 0.46, + "learning_rate": 5.942999977408182e-06, + "loss": 0.6495, + "step": 15536 + }, + { + "epoch": 0.46, + "learning_rate": 5.9425327430689054e-06, + "loss": 0.8387, + "step": 15537 + }, + { + "epoch": 0.46, + "learning_rate": 5.9420655001957316e-06, + "loss": 0.6887, + "step": 15538 + }, + { + "epoch": 0.46, + "learning_rate": 5.941598248792896e-06, + "loss": 0.5666, + "step": 15539 + }, + { + "epoch": 0.46, + "learning_rate": 5.941130988864627e-06, + "loss": 0.7347, + "step": 15540 + }, + { + "epoch": 0.46, + "learning_rate": 5.940663720415153e-06, + "loss": 0.9238, + "step": 15541 + }, + { + "epoch": 0.46, + "learning_rate": 5.940196443448709e-06, + "loss": 0.6446, + "step": 15542 + }, + { + "epoch": 0.46, + "learning_rate": 5.939729157969521e-06, + "loss": 0.9499, + "step": 15543 + }, + { + "epoch": 0.46, + "learning_rate": 5.939261863981824e-06, + "loss": 0.5247, + "step": 15544 + }, + { + "epoch": 0.46, + "learning_rate": 5.938794561489849e-06, + "loss": 0.7232, + "step": 15545 + }, + { + "epoch": 0.46, + "learning_rate": 5.938327250497824e-06, + "loss": 0.8224, + "step": 15546 + }, + { + "epoch": 0.46, + "learning_rate": 5.937859931009983e-06, + "loss": 0.6221, + "step": 15547 + }, + { + "epoch": 0.46, + "learning_rate": 5.9373926030305555e-06, + "loss": 0.7386, + "step": 15548 + }, + { + "epoch": 0.46, + "learning_rate": 5.936925266563772e-06, + "loss": 0.7931, + "step": 15549 + }, + { + "epoch": 0.46, + "learning_rate": 5.936457921613866e-06, + "loss": 0.7889, + "step": 15550 + }, + { + "epoch": 0.46, + "learning_rate": 5.935990568185069e-06, + "loss": 0.5787, + "step": 15551 + }, + { + "epoch": 0.46, + "learning_rate": 5.93552320628161e-06, + "loss": 0.7855, + "step": 15552 + }, + { + "epoch": 0.46, + "learning_rate": 5.935055835907723e-06, + "loss": 0.8319, + "step": 15553 + }, + { + "epoch": 0.46, + "learning_rate": 5.934588457067638e-06, + "loss": 0.5394, + "step": 15554 + }, + { + "epoch": 0.46, + "learning_rate": 5.934121069765588e-06, + "loss": 0.7884, + "step": 15555 + }, + { + "epoch": 0.46, + "learning_rate": 5.933653674005805e-06, + "loss": 0.7573, + "step": 15556 + }, + { + "epoch": 0.46, + "learning_rate": 5.93318626979252e-06, + "loss": 0.8477, + "step": 15557 + }, + { + "epoch": 0.46, + "learning_rate": 5.932718857129965e-06, + "loss": 0.6253, + "step": 15558 + }, + { + "epoch": 0.46, + "learning_rate": 5.932251436022372e-06, + "loss": 0.7748, + "step": 15559 + }, + { + "epoch": 0.46, + "learning_rate": 5.931784006473974e-06, + "loss": 0.8048, + "step": 15560 + }, + { + "epoch": 0.46, + "learning_rate": 5.9313165684890025e-06, + "loss": 0.9714, + "step": 15561 + }, + { + "epoch": 0.46, + "learning_rate": 5.930849122071691e-06, + "loss": 0.8776, + "step": 15562 + }, + { + "epoch": 0.46, + "learning_rate": 5.930381667226269e-06, + "loss": 0.7509, + "step": 15563 + }, + { + "epoch": 0.46, + "learning_rate": 5.9299142039569725e-06, + "loss": 0.7175, + "step": 15564 + }, + { + "epoch": 0.46, + "learning_rate": 5.929446732268032e-06, + "loss": 0.7858, + "step": 15565 + }, + { + "epoch": 0.46, + "learning_rate": 5.928979252163679e-06, + "loss": 0.8637, + "step": 15566 + }, + { + "epoch": 0.46, + "learning_rate": 5.928511763648148e-06, + "loss": 1.0473, + "step": 15567 + }, + { + "epoch": 0.46, + "learning_rate": 5.928044266725672e-06, + "loss": 0.8925, + "step": 15568 + }, + { + "epoch": 0.46, + "learning_rate": 5.927576761400483e-06, + "loss": 0.9306, + "step": 15569 + }, + { + "epoch": 0.46, + "learning_rate": 5.927109247676815e-06, + "loss": 0.6772, + "step": 15570 + }, + { + "epoch": 0.46, + "learning_rate": 5.926641725558898e-06, + "loss": 0.9655, + "step": 15571 + }, + { + "epoch": 0.46, + "learning_rate": 5.9261741950509675e-06, + "loss": 0.6864, + "step": 15572 + }, + { + "epoch": 0.46, + "learning_rate": 5.925706656157256e-06, + "loss": 0.7869, + "step": 15573 + }, + { + "epoch": 0.46, + "learning_rate": 5.925239108881997e-06, + "loss": 0.5844, + "step": 15574 + }, + { + "epoch": 0.46, + "learning_rate": 5.924771553229425e-06, + "loss": 0.8398, + "step": 15575 + }, + { + "epoch": 0.46, + "learning_rate": 5.92430398920377e-06, + "loss": 0.6935, + "step": 15576 + }, + { + "epoch": 0.46, + "learning_rate": 5.923836416809269e-06, + "loss": 0.6422, + "step": 15577 + }, + { + "epoch": 0.46, + "learning_rate": 5.923368836050152e-06, + "loss": 0.6114, + "step": 15578 + }, + { + "epoch": 0.46, + "learning_rate": 5.922901246930655e-06, + "loss": 0.4899, + "step": 15579 + }, + { + "epoch": 0.46, + "learning_rate": 5.9224336494550115e-06, + "loss": 0.9421, + "step": 15580 + }, + { + "epoch": 0.46, + "learning_rate": 5.921966043627455e-06, + "loss": 1.069, + "step": 15581 + }, + { + "epoch": 0.46, + "learning_rate": 5.921498429452219e-06, + "loss": 0.6557, + "step": 15582 + }, + { + "epoch": 0.46, + "learning_rate": 5.921030806933537e-06, + "loss": 0.6389, + "step": 15583 + }, + { + "epoch": 0.46, + "learning_rate": 5.920563176075644e-06, + "loss": 0.548, + "step": 15584 + }, + { + "epoch": 0.46, + "learning_rate": 5.920095536882774e-06, + "loss": 0.5024, + "step": 15585 + }, + { + "epoch": 0.46, + "learning_rate": 5.91962788935916e-06, + "loss": 0.97, + "step": 15586 + }, + { + "epoch": 0.46, + "learning_rate": 5.919160233509037e-06, + "loss": 0.9397, + "step": 15587 + }, + { + "epoch": 0.46, + "learning_rate": 5.918692569336639e-06, + "loss": 0.7126, + "step": 15588 + }, + { + "epoch": 0.46, + "learning_rate": 5.9182248968461995e-06, + "loss": 1.0422, + "step": 15589 + }, + { + "epoch": 0.46, + "learning_rate": 5.917757216041955e-06, + "loss": 0.9813, + "step": 15590 + }, + { + "epoch": 0.46, + "learning_rate": 5.9172895269281385e-06, + "loss": 0.8044, + "step": 15591 + }, + { + "epoch": 0.46, + "learning_rate": 5.916821829508986e-06, + "loss": 0.6579, + "step": 15592 + }, + { + "epoch": 0.46, + "learning_rate": 5.916354123788728e-06, + "loss": 0.8044, + "step": 15593 + }, + { + "epoch": 0.46, + "learning_rate": 5.915886409771604e-06, + "loss": 0.5469, + "step": 15594 + }, + { + "epoch": 0.46, + "learning_rate": 5.915418687461847e-06, + "loss": 0.6376, + "step": 15595 + }, + { + "epoch": 0.46, + "learning_rate": 5.914950956863691e-06, + "loss": 0.5939, + "step": 15596 + }, + { + "epoch": 0.46, + "learning_rate": 5.914483217981373e-06, + "loss": 0.5749, + "step": 15597 + }, + { + "epoch": 0.46, + "learning_rate": 5.914015470819124e-06, + "loss": 0.5482, + "step": 15598 + }, + { + "epoch": 0.46, + "learning_rate": 5.913547715381185e-06, + "loss": 0.759, + "step": 15599 + }, + { + "epoch": 0.46, + "learning_rate": 5.913079951671788e-06, + "loss": 0.9928, + "step": 15600 + }, + { + "epoch": 0.46, + "learning_rate": 5.912612179695166e-06, + "loss": 0.6803, + "step": 15601 + }, + { + "epoch": 0.46, + "learning_rate": 5.9121443994555575e-06, + "loss": 0.9616, + "step": 15602 + }, + { + "epoch": 0.46, + "learning_rate": 5.9116766109571965e-06, + "loss": 0.4807, + "step": 15603 + }, + { + "epoch": 0.46, + "learning_rate": 5.91120881420432e-06, + "loss": 0.6556, + "step": 15604 + }, + { + "epoch": 0.46, + "learning_rate": 5.910741009201162e-06, + "loss": 0.9949, + "step": 15605 + }, + { + "epoch": 0.46, + "learning_rate": 5.910273195951958e-06, + "loss": 0.7424, + "step": 15606 + }, + { + "epoch": 0.46, + "learning_rate": 5.909805374460945e-06, + "loss": 0.7632, + "step": 15607 + }, + { + "epoch": 0.46, + "learning_rate": 5.9093375447323575e-06, + "loss": 0.7309, + "step": 15608 + }, + { + "epoch": 0.46, + "learning_rate": 5.908869706770432e-06, + "loss": 1.0945, + "step": 15609 + }, + { + "epoch": 0.46, + "learning_rate": 5.908401860579405e-06, + "loss": 0.9053, + "step": 15610 + }, + { + "epoch": 0.46, + "learning_rate": 5.907934006163509e-06, + "loss": 0.9336, + "step": 15611 + }, + { + "epoch": 0.46, + "learning_rate": 5.907466143526984e-06, + "loss": 0.7357, + "step": 15612 + }, + { + "epoch": 0.46, + "learning_rate": 5.906998272674066e-06, + "loss": 0.6779, + "step": 15613 + }, + { + "epoch": 0.46, + "learning_rate": 5.906530393608989e-06, + "loss": 0.7803, + "step": 15614 + }, + { + "epoch": 0.46, + "learning_rate": 5.906062506335991e-06, + "loss": 0.8441, + "step": 15615 + }, + { + "epoch": 0.46, + "learning_rate": 5.905594610859308e-06, + "loss": 0.6467, + "step": 15616 + }, + { + "epoch": 0.46, + "learning_rate": 5.905126707183174e-06, + "loss": 0.7481, + "step": 15617 + }, + { + "epoch": 0.46, + "learning_rate": 5.904658795311829e-06, + "loss": 0.9007, + "step": 15618 + }, + { + "epoch": 0.46, + "learning_rate": 5.904190875249509e-06, + "loss": 0.6581, + "step": 15619 + }, + { + "epoch": 0.46, + "learning_rate": 5.903722947000448e-06, + "loss": 0.5149, + "step": 15620 + }, + { + "epoch": 0.46, + "learning_rate": 5.903255010568887e-06, + "loss": 0.6935, + "step": 15621 + }, + { + "epoch": 0.46, + "learning_rate": 5.902787065959058e-06, + "loss": 0.7891, + "step": 15622 + }, + { + "epoch": 0.46, + "learning_rate": 5.902319113175201e-06, + "loss": 0.5394, + "step": 15623 + }, + { + "epoch": 0.46, + "learning_rate": 5.9018511522215525e-06, + "loss": 0.7317, + "step": 15624 + }, + { + "epoch": 0.46, + "learning_rate": 5.901383183102349e-06, + "loss": 0.7815, + "step": 15625 + }, + { + "epoch": 0.46, + "learning_rate": 5.900915205821829e-06, + "loss": 0.7429, + "step": 15626 + }, + { + "epoch": 0.46, + "learning_rate": 5.900447220384227e-06, + "loss": 0.8395, + "step": 15627 + }, + { + "epoch": 0.46, + "learning_rate": 5.899979226793782e-06, + "loss": 0.7766, + "step": 15628 + }, + { + "epoch": 0.46, + "learning_rate": 5.899511225054731e-06, + "loss": 0.5309, + "step": 15629 + }, + { + "epoch": 0.46, + "learning_rate": 5.899043215171312e-06, + "loss": 0.6219, + "step": 15630 + }, + { + "epoch": 0.46, + "learning_rate": 5.898575197147763e-06, + "loss": 0.828, + "step": 15631 + }, + { + "epoch": 0.46, + "learning_rate": 5.898107170988316e-06, + "loss": 0.4759, + "step": 15632 + }, + { + "epoch": 0.46, + "learning_rate": 5.897639136697217e-06, + "loss": 0.7391, + "step": 15633 + }, + { + "epoch": 0.46, + "learning_rate": 5.897171094278699e-06, + "loss": 0.7222, + "step": 15634 + }, + { + "epoch": 0.46, + "learning_rate": 5.896703043737e-06, + "loss": 0.7183, + "step": 15635 + }, + { + "epoch": 0.46, + "learning_rate": 5.896234985076358e-06, + "loss": 0.6614, + "step": 15636 + }, + { + "epoch": 0.46, + "learning_rate": 5.89576691830101e-06, + "loss": 0.6379, + "step": 15637 + }, + { + "epoch": 0.46, + "learning_rate": 5.895298843415197e-06, + "loss": 0.6683, + "step": 15638 + }, + { + "epoch": 0.46, + "learning_rate": 5.8948307604231544e-06, + "loss": 0.9239, + "step": 15639 + }, + { + "epoch": 0.46, + "learning_rate": 5.894362669329122e-06, + "loss": 0.9657, + "step": 15640 + }, + { + "epoch": 0.46, + "learning_rate": 5.893894570137337e-06, + "loss": 0.6519, + "step": 15641 + }, + { + "epoch": 0.46, + "learning_rate": 5.893426462852036e-06, + "loss": 0.5711, + "step": 15642 + }, + { + "epoch": 0.46, + "learning_rate": 5.892958347477462e-06, + "loss": 0.5531, + "step": 15643 + }, + { + "epoch": 0.46, + "learning_rate": 5.8924902240178495e-06, + "loss": 0.7352, + "step": 15644 + }, + { + "epoch": 0.46, + "learning_rate": 5.8920220924774375e-06, + "loss": 0.7121, + "step": 15645 + }, + { + "epoch": 0.46, + "learning_rate": 5.891553952860466e-06, + "loss": 0.6674, + "step": 15646 + }, + { + "epoch": 0.46, + "learning_rate": 5.89108580517117e-06, + "loss": 0.6794, + "step": 15647 + }, + { + "epoch": 0.46, + "learning_rate": 5.890617649413794e-06, + "loss": 0.4636, + "step": 15648 + }, + { + "epoch": 0.46, + "learning_rate": 5.890149485592574e-06, + "loss": 0.7894, + "step": 15649 + }, + { + "epoch": 0.46, + "learning_rate": 5.889681313711747e-06, + "loss": 0.7621, + "step": 15650 + }, + { + "epoch": 0.46, + "learning_rate": 5.889213133775554e-06, + "loss": 0.7031, + "step": 15651 + }, + { + "epoch": 0.46, + "learning_rate": 5.888744945788234e-06, + "loss": 0.7673, + "step": 15652 + }, + { + "epoch": 0.46, + "learning_rate": 5.888276749754025e-06, + "loss": 0.8236, + "step": 15653 + }, + { + "epoch": 0.46, + "learning_rate": 5.887808545677167e-06, + "loss": 0.5703, + "step": 15654 + }, + { + "epoch": 0.46, + "learning_rate": 5.8873403335619e-06, + "loss": 0.7499, + "step": 15655 + }, + { + "epoch": 0.46, + "learning_rate": 5.8868721134124604e-06, + "loss": 0.7153, + "step": 15656 + }, + { + "epoch": 0.46, + "learning_rate": 5.88640388523309e-06, + "loss": 0.6366, + "step": 15657 + }, + { + "epoch": 0.46, + "learning_rate": 5.885935649028027e-06, + "loss": 0.6498, + "step": 15658 + }, + { + "epoch": 0.46, + "learning_rate": 5.885467404801514e-06, + "loss": 0.7, + "step": 15659 + }, + { + "epoch": 0.46, + "learning_rate": 5.884999152557786e-06, + "loss": 0.811, + "step": 15660 + }, + { + "epoch": 0.46, + "learning_rate": 5.8845308923010855e-06, + "loss": 0.8235, + "step": 15661 + }, + { + "epoch": 0.46, + "learning_rate": 5.884062624035652e-06, + "loss": 0.5413, + "step": 15662 + }, + { + "epoch": 0.46, + "learning_rate": 5.883594347765724e-06, + "loss": 0.6946, + "step": 15663 + }, + { + "epoch": 0.46, + "learning_rate": 5.883126063495544e-06, + "loss": 1.002, + "step": 15664 + }, + { + "epoch": 0.46, + "learning_rate": 5.8826577712293476e-06, + "loss": 1.0003, + "step": 15665 + }, + { + "epoch": 0.46, + "learning_rate": 5.882189470971378e-06, + "loss": 0.6853, + "step": 15666 + }, + { + "epoch": 0.46, + "learning_rate": 5.881721162725875e-06, + "loss": 0.7275, + "step": 15667 + }, + { + "epoch": 0.46, + "learning_rate": 5.88125284649708e-06, + "loss": 0.6436, + "step": 15668 + }, + { + "epoch": 0.46, + "learning_rate": 5.880784522289231e-06, + "loss": 0.677, + "step": 15669 + }, + { + "epoch": 0.46, + "learning_rate": 5.8803161901065685e-06, + "loss": 1.0517, + "step": 15670 + }, + { + "epoch": 0.46, + "learning_rate": 5.879847849953334e-06, + "loss": 0.6391, + "step": 15671 + }, + { + "epoch": 0.46, + "learning_rate": 5.879379501833766e-06, + "loss": 0.9241, + "step": 15672 + }, + { + "epoch": 0.46, + "learning_rate": 5.878911145752108e-06, + "loss": 0.7206, + "step": 15673 + }, + { + "epoch": 0.46, + "learning_rate": 5.878442781712599e-06, + "loss": 0.7541, + "step": 15674 + }, + { + "epoch": 0.46, + "learning_rate": 5.877974409719478e-06, + "loss": 0.8679, + "step": 15675 + }, + { + "epoch": 0.46, + "learning_rate": 5.877506029776988e-06, + "loss": 1.0213, + "step": 15676 + }, + { + "epoch": 0.46, + "learning_rate": 5.87703764188937e-06, + "loss": 0.4901, + "step": 15677 + }, + { + "epoch": 0.46, + "learning_rate": 5.876569246060863e-06, + "loss": 0.9822, + "step": 15678 + }, + { + "epoch": 0.46, + "learning_rate": 5.87610084229571e-06, + "loss": 0.8558, + "step": 15679 + }, + { + "epoch": 0.46, + "learning_rate": 5.87563243059815e-06, + "loss": 0.7385, + "step": 15680 + }, + { + "epoch": 0.46, + "learning_rate": 5.875164010972425e-06, + "loss": 0.6837, + "step": 15681 + }, + { + "epoch": 0.46, + "learning_rate": 5.874695583422777e-06, + "loss": 0.7503, + "step": 15682 + }, + { + "epoch": 0.46, + "learning_rate": 5.874227147953447e-06, + "loss": 0.9473, + "step": 15683 + }, + { + "epoch": 0.46, + "learning_rate": 5.8737587045686764e-06, + "loss": 0.5386, + "step": 15684 + }, + { + "epoch": 0.46, + "learning_rate": 5.873290253272704e-06, + "loss": 0.4862, + "step": 15685 + }, + { + "epoch": 0.46, + "learning_rate": 5.872821794069774e-06, + "loss": 0.8333, + "step": 15686 + }, + { + "epoch": 0.46, + "learning_rate": 5.872353326964129e-06, + "loss": 0.4962, + "step": 15687 + }, + { + "epoch": 0.46, + "learning_rate": 5.871884851960007e-06, + "loss": 0.7623, + "step": 15688 + }, + { + "epoch": 0.46, + "learning_rate": 5.871416369061652e-06, + "loss": 0.5991, + "step": 15689 + }, + { + "epoch": 0.46, + "learning_rate": 5.870947878273306e-06, + "loss": 0.6434, + "step": 15690 + }, + { + "epoch": 0.46, + "learning_rate": 5.8704793795992095e-06, + "loss": 0.8277, + "step": 15691 + }, + { + "epoch": 0.46, + "learning_rate": 5.870010873043606e-06, + "loss": 0.7236, + "step": 15692 + }, + { + "epoch": 0.46, + "learning_rate": 5.869542358610736e-06, + "loss": 0.6357, + "step": 15693 + }, + { + "epoch": 0.46, + "learning_rate": 5.86907383630484e-06, + "loss": 1.0175, + "step": 15694 + }, + { + "epoch": 0.46, + "learning_rate": 5.868605306130165e-06, + "loss": 0.6991, + "step": 15695 + }, + { + "epoch": 0.46, + "learning_rate": 5.868136768090947e-06, + "loss": 0.759, + "step": 15696 + }, + { + "epoch": 0.46, + "learning_rate": 5.8676682221914336e-06, + "loss": 0.9169, + "step": 15697 + }, + { + "epoch": 0.46, + "learning_rate": 5.867199668435866e-06, + "loss": 0.8212, + "step": 15698 + }, + { + "epoch": 0.46, + "learning_rate": 5.866731106828484e-06, + "loss": 1.0049, + "step": 15699 + }, + { + "epoch": 0.46, + "learning_rate": 5.866262537373533e-06, + "loss": 0.9207, + "step": 15700 + }, + { + "epoch": 0.46, + "learning_rate": 5.865793960075252e-06, + "loss": 0.7639, + "step": 15701 + }, + { + "epoch": 0.46, + "learning_rate": 5.865325374937887e-06, + "loss": 0.589, + "step": 15702 + }, + { + "epoch": 0.46, + "learning_rate": 5.86485678196568e-06, + "loss": 0.8945, + "step": 15703 + }, + { + "epoch": 0.46, + "learning_rate": 5.864388181162872e-06, + "loss": 0.935, + "step": 15704 + }, + { + "epoch": 0.46, + "learning_rate": 5.863919572533708e-06, + "loss": 0.605, + "step": 15705 + }, + { + "epoch": 0.46, + "learning_rate": 5.863450956082429e-06, + "loss": 0.47, + "step": 15706 + }, + { + "epoch": 0.46, + "learning_rate": 5.8629823318132795e-06, + "loss": 0.8054, + "step": 15707 + }, + { + "epoch": 0.46, + "learning_rate": 5.862513699730502e-06, + "loss": 0.8267, + "step": 15708 + }, + { + "epoch": 0.46, + "learning_rate": 5.862045059838339e-06, + "loss": 0.847, + "step": 15709 + }, + { + "epoch": 0.46, + "learning_rate": 5.8615764121410355e-06, + "loss": 0.9645, + "step": 15710 + }, + { + "epoch": 0.46, + "learning_rate": 5.861107756642832e-06, + "loss": 0.5402, + "step": 15711 + }, + { + "epoch": 0.46, + "learning_rate": 5.860639093347974e-06, + "loss": 0.6198, + "step": 15712 + }, + { + "epoch": 0.46, + "learning_rate": 5.860170422260704e-06, + "loss": 0.8114, + "step": 15713 + }, + { + "epoch": 0.46, + "learning_rate": 5.859701743385265e-06, + "loss": 0.9675, + "step": 15714 + }, + { + "epoch": 0.46, + "learning_rate": 5.8592330567259015e-06, + "loss": 0.803, + "step": 15715 + }, + { + "epoch": 0.46, + "learning_rate": 5.858764362286855e-06, + "loss": 0.7667, + "step": 15716 + }, + { + "epoch": 0.46, + "learning_rate": 5.858295660072372e-06, + "loss": 0.9204, + "step": 15717 + }, + { + "epoch": 0.46, + "learning_rate": 5.857826950086696e-06, + "loss": 1.0274, + "step": 15718 + }, + { + "epoch": 0.46, + "learning_rate": 5.857358232334069e-06, + "loss": 0.5938, + "step": 15719 + }, + { + "epoch": 0.46, + "learning_rate": 5.856889506818736e-06, + "loss": 0.6381, + "step": 15720 + }, + { + "epoch": 0.46, + "learning_rate": 5.85642077354494e-06, + "loss": 0.6784, + "step": 15721 + }, + { + "epoch": 0.46, + "learning_rate": 5.855952032516925e-06, + "loss": 0.8497, + "step": 15722 + }, + { + "epoch": 0.46, + "learning_rate": 5.855483283738936e-06, + "loss": 0.608, + "step": 15723 + }, + { + "epoch": 0.46, + "learning_rate": 5.855014527215218e-06, + "loss": 0.6932, + "step": 15724 + }, + { + "epoch": 0.46, + "learning_rate": 5.854545762950015e-06, + "loss": 1.0132, + "step": 15725 + }, + { + "epoch": 0.46, + "learning_rate": 5.854076990947567e-06, + "loss": 0.5553, + "step": 15726 + }, + { + "epoch": 0.46, + "learning_rate": 5.853608211212124e-06, + "loss": 1.1013, + "step": 15727 + }, + { + "epoch": 0.46, + "learning_rate": 5.853139423747929e-06, + "loss": 0.8836, + "step": 15728 + }, + { + "epoch": 0.46, + "learning_rate": 5.8526706285592235e-06, + "loss": 0.877, + "step": 15729 + }, + { + "epoch": 0.46, + "learning_rate": 5.852201825650257e-06, + "loss": 0.9323, + "step": 15730 + }, + { + "epoch": 0.46, + "learning_rate": 5.85173301502527e-06, + "loss": 0.6853, + "step": 15731 + }, + { + "epoch": 0.46, + "learning_rate": 5.851264196688508e-06, + "loss": 0.745, + "step": 15732 + }, + { + "epoch": 0.46, + "learning_rate": 5.850795370644217e-06, + "loss": 0.5593, + "step": 15733 + }, + { + "epoch": 0.46, + "learning_rate": 5.850326536896641e-06, + "loss": 0.799, + "step": 15734 + }, + { + "epoch": 0.46, + "learning_rate": 5.8498576954500244e-06, + "loss": 0.4732, + "step": 15735 + }, + { + "epoch": 0.46, + "learning_rate": 5.849388846308614e-06, + "loss": 0.5965, + "step": 15736 + }, + { + "epoch": 0.46, + "learning_rate": 5.848919989476654e-06, + "loss": 0.4893, + "step": 15737 + }, + { + "epoch": 0.46, + "learning_rate": 5.848451124958388e-06, + "loss": 0.6112, + "step": 15738 + }, + { + "epoch": 0.46, + "learning_rate": 5.847982252758064e-06, + "loss": 0.6022, + "step": 15739 + }, + { + "epoch": 0.46, + "learning_rate": 5.847513372879925e-06, + "loss": 0.5762, + "step": 15740 + }, + { + "epoch": 0.46, + "learning_rate": 5.847044485328218e-06, + "loss": 0.7776, + "step": 15741 + }, + { + "epoch": 0.46, + "learning_rate": 5.846575590107188e-06, + "loss": 1.1559, + "step": 15742 + }, + { + "epoch": 0.46, + "learning_rate": 5.846106687221078e-06, + "loss": 0.7353, + "step": 15743 + }, + { + "epoch": 0.46, + "learning_rate": 5.845637776674138e-06, + "loss": 0.8271, + "step": 15744 + }, + { + "epoch": 0.46, + "learning_rate": 5.845168858470609e-06, + "loss": 0.8066, + "step": 15745 + }, + { + "epoch": 0.46, + "learning_rate": 5.844699932614739e-06, + "loss": 0.7954, + "step": 15746 + }, + { + "epoch": 0.46, + "learning_rate": 5.844230999110776e-06, + "loss": 0.5645, + "step": 15747 + }, + { + "epoch": 0.46, + "learning_rate": 5.843762057962962e-06, + "loss": 0.4804, + "step": 15748 + }, + { + "epoch": 0.46, + "learning_rate": 5.843293109175544e-06, + "loss": 0.8472, + "step": 15749 + }, + { + "epoch": 0.46, + "learning_rate": 5.84282415275277e-06, + "loss": 0.739, + "step": 15750 + }, + { + "epoch": 0.46, + "learning_rate": 5.8423551886988825e-06, + "loss": 0.6864, + "step": 15751 + }, + { + "epoch": 0.46, + "learning_rate": 5.841886217018131e-06, + "loss": 0.6063, + "step": 15752 + }, + { + "epoch": 0.46, + "learning_rate": 5.84141723771476e-06, + "loss": 0.6618, + "step": 15753 + }, + { + "epoch": 0.46, + "learning_rate": 5.840948250793015e-06, + "loss": 0.7588, + "step": 15754 + }, + { + "epoch": 0.46, + "learning_rate": 5.840479256257142e-06, + "loss": 0.6212, + "step": 15755 + }, + { + "epoch": 0.46, + "learning_rate": 5.84001025411139e-06, + "loss": 0.6515, + "step": 15756 + }, + { + "epoch": 0.46, + "learning_rate": 5.839541244360004e-06, + "loss": 0.7551, + "step": 15757 + }, + { + "epoch": 0.46, + "learning_rate": 5.839072227007231e-06, + "loss": 0.6682, + "step": 15758 + }, + { + "epoch": 0.46, + "learning_rate": 5.838603202057317e-06, + "loss": 0.5928, + "step": 15759 + }, + { + "epoch": 0.46, + "learning_rate": 5.838134169514508e-06, + "loss": 0.785, + "step": 15760 + }, + { + "epoch": 0.46, + "learning_rate": 5.837665129383052e-06, + "loss": 0.7151, + "step": 15761 + }, + { + "epoch": 0.46, + "learning_rate": 5.8371960816671954e-06, + "loss": 0.7305, + "step": 15762 + }, + { + "epoch": 0.46, + "learning_rate": 5.836727026371185e-06, + "loss": 0.749, + "step": 15763 + }, + { + "epoch": 0.46, + "learning_rate": 5.836257963499268e-06, + "loss": 0.4944, + "step": 15764 + }, + { + "epoch": 0.46, + "learning_rate": 5.835788893055689e-06, + "loss": 0.6655, + "step": 15765 + }, + { + "epoch": 0.46, + "learning_rate": 5.835319815044699e-06, + "loss": 0.924, + "step": 15766 + }, + { + "epoch": 0.46, + "learning_rate": 5.834850729470544e-06, + "loss": 0.6584, + "step": 15767 + }, + { + "epoch": 0.46, + "learning_rate": 5.834381636337469e-06, + "loss": 0.8413, + "step": 15768 + }, + { + "epoch": 0.46, + "learning_rate": 5.833912535649723e-06, + "loss": 0.8053, + "step": 15769 + }, + { + "epoch": 0.46, + "learning_rate": 5.833443427411554e-06, + "loss": 0.8009, + "step": 15770 + }, + { + "epoch": 0.46, + "learning_rate": 5.832974311627207e-06, + "loss": 0.6193, + "step": 15771 + }, + { + "epoch": 0.46, + "learning_rate": 5.832505188300932e-06, + "loss": 0.7981, + "step": 15772 + }, + { + "epoch": 0.46, + "learning_rate": 5.832036057436976e-06, + "loss": 0.6486, + "step": 15773 + }, + { + "epoch": 0.46, + "learning_rate": 5.831566919039585e-06, + "loss": 0.7359, + "step": 15774 + }, + { + "epoch": 0.46, + "learning_rate": 5.831097773113008e-06, + "loss": 0.5624, + "step": 15775 + }, + { + "epoch": 0.46, + "learning_rate": 5.830628619661492e-06, + "loss": 0.8789, + "step": 15776 + }, + { + "epoch": 0.46, + "learning_rate": 5.830159458689287e-06, + "loss": 0.7492, + "step": 15777 + }, + { + "epoch": 0.46, + "learning_rate": 5.829690290200638e-06, + "loss": 0.8735, + "step": 15778 + }, + { + "epoch": 0.46, + "learning_rate": 5.829221114199796e-06, + "loss": 0.4987, + "step": 15779 + }, + { + "epoch": 0.46, + "learning_rate": 5.828751930691004e-06, + "loss": 0.7106, + "step": 15780 + }, + { + "epoch": 0.46, + "learning_rate": 5.828282739678516e-06, + "loss": 0.5312, + "step": 15781 + }, + { + "epoch": 0.46, + "learning_rate": 5.827813541166576e-06, + "loss": 0.8084, + "step": 15782 + }, + { + "epoch": 0.46, + "learning_rate": 5.827344335159435e-06, + "loss": 0.9039, + "step": 15783 + }, + { + "epoch": 0.46, + "learning_rate": 5.8268751216613395e-06, + "loss": 0.5972, + "step": 15784 + }, + { + "epoch": 0.46, + "learning_rate": 5.826405900676536e-06, + "loss": 0.8465, + "step": 15785 + }, + { + "epoch": 0.46, + "learning_rate": 5.825936672209278e-06, + "loss": 0.8702, + "step": 15786 + }, + { + "epoch": 0.46, + "learning_rate": 5.8254674362638105e-06, + "loss": 0.5819, + "step": 15787 + }, + { + "epoch": 0.46, + "learning_rate": 5.824998192844383e-06, + "loss": 0.8946, + "step": 15788 + }, + { + "epoch": 0.46, + "learning_rate": 5.8245289419552445e-06, + "loss": 0.6768, + "step": 15789 + }, + { + "epoch": 0.46, + "learning_rate": 5.824059683600642e-06, + "loss": 0.6859, + "step": 15790 + }, + { + "epoch": 0.46, + "learning_rate": 5.823590417784826e-06, + "loss": 0.7611, + "step": 15791 + }, + { + "epoch": 0.46, + "learning_rate": 5.823121144512045e-06, + "loss": 0.6605, + "step": 15792 + }, + { + "epoch": 0.46, + "learning_rate": 5.822651863786548e-06, + "loss": 0.5008, + "step": 15793 + }, + { + "epoch": 0.46, + "learning_rate": 5.8221825756125835e-06, + "loss": 1.1433, + "step": 15794 + }, + { + "epoch": 0.46, + "learning_rate": 5.8217132799944e-06, + "loss": 0.489, + "step": 15795 + }, + { + "epoch": 0.46, + "learning_rate": 5.821243976936247e-06, + "loss": 0.5674, + "step": 15796 + }, + { + "epoch": 0.46, + "learning_rate": 5.8207746664423744e-06, + "loss": 0.6664, + "step": 15797 + }, + { + "epoch": 0.46, + "learning_rate": 5.820305348517033e-06, + "loss": 0.7327, + "step": 15798 + }, + { + "epoch": 0.46, + "learning_rate": 5.819836023164467e-06, + "loss": 0.8067, + "step": 15799 + }, + { + "epoch": 0.46, + "learning_rate": 5.81936669038893e-06, + "loss": 0.5342, + "step": 15800 + }, + { + "epoch": 0.46, + "learning_rate": 5.8188973501946696e-06, + "loss": 0.647, + "step": 15801 + }, + { + "epoch": 0.46, + "learning_rate": 5.818428002585937e-06, + "loss": 0.5659, + "step": 15802 + }, + { + "epoch": 0.46, + "learning_rate": 5.8179586475669815e-06, + "loss": 0.6735, + "step": 15803 + }, + { + "epoch": 0.46, + "learning_rate": 5.81748928514205e-06, + "loss": 0.4748, + "step": 15804 + }, + { + "epoch": 0.46, + "learning_rate": 5.817019915315395e-06, + "loss": 0.8397, + "step": 15805 + }, + { + "epoch": 0.46, + "learning_rate": 5.8165505380912655e-06, + "loss": 0.7376, + "step": 15806 + }, + { + "epoch": 0.46, + "learning_rate": 5.816081153473912e-06, + "loss": 0.7159, + "step": 15807 + }, + { + "epoch": 0.46, + "learning_rate": 5.815611761467583e-06, + "loss": 0.888, + "step": 15808 + }, + { + "epoch": 0.46, + "learning_rate": 5.815142362076529e-06, + "loss": 0.4396, + "step": 15809 + }, + { + "epoch": 0.46, + "learning_rate": 5.814672955305002e-06, + "loss": 0.9116, + "step": 15810 + }, + { + "epoch": 0.46, + "learning_rate": 5.814203541157249e-06, + "loss": 0.7273, + "step": 15811 + }, + { + "epoch": 0.46, + "learning_rate": 5.813734119637522e-06, + "loss": 0.7281, + "step": 15812 + }, + { + "epoch": 0.46, + "learning_rate": 5.813264690750071e-06, + "loss": 0.8152, + "step": 15813 + }, + { + "epoch": 0.46, + "learning_rate": 5.812795254499146e-06, + "loss": 0.9818, + "step": 15814 + }, + { + "epoch": 0.46, + "learning_rate": 5.812325810888998e-06, + "loss": 0.7596, + "step": 15815 + }, + { + "epoch": 0.46, + "learning_rate": 5.811856359923877e-06, + "loss": 0.73, + "step": 15816 + }, + { + "epoch": 0.46, + "learning_rate": 5.811386901608031e-06, + "loss": 0.8597, + "step": 15817 + }, + { + "epoch": 0.46, + "learning_rate": 5.810917435945715e-06, + "loss": 0.7243, + "step": 15818 + }, + { + "epoch": 0.46, + "learning_rate": 5.810447962941177e-06, + "loss": 0.7471, + "step": 15819 + }, + { + "epoch": 0.46, + "learning_rate": 5.809978482598669e-06, + "loss": 0.9604, + "step": 15820 + }, + { + "epoch": 0.46, + "learning_rate": 5.809508994922441e-06, + "loss": 0.9046, + "step": 15821 + }, + { + "epoch": 0.46, + "learning_rate": 5.809039499916745e-06, + "loss": 0.6761, + "step": 15822 + }, + { + "epoch": 0.46, + "learning_rate": 5.80856999758583e-06, + "loss": 0.6559, + "step": 15823 + }, + { + "epoch": 0.46, + "learning_rate": 5.808100487933946e-06, + "loss": 0.6514, + "step": 15824 + }, + { + "epoch": 0.46, + "learning_rate": 5.807630970965349e-06, + "loss": 0.7108, + "step": 15825 + }, + { + "epoch": 0.46, + "learning_rate": 5.807161446684285e-06, + "loss": 0.79, + "step": 15826 + }, + { + "epoch": 0.46, + "learning_rate": 5.8066919150950085e-06, + "loss": 0.6831, + "step": 15827 + }, + { + "epoch": 0.47, + "learning_rate": 5.806222376201769e-06, + "loss": 0.7457, + "step": 15828 + }, + { + "epoch": 0.47, + "learning_rate": 5.805752830008817e-06, + "loss": 0.7739, + "step": 15829 + }, + { + "epoch": 0.47, + "learning_rate": 5.805283276520407e-06, + "loss": 0.7521, + "step": 15830 + }, + { + "epoch": 0.47, + "learning_rate": 5.804813715740788e-06, + "loss": 0.7263, + "step": 15831 + }, + { + "epoch": 0.47, + "learning_rate": 5.804344147674213e-06, + "loss": 0.8012, + "step": 15832 + }, + { + "epoch": 0.47, + "learning_rate": 5.803874572324931e-06, + "loss": 0.8307, + "step": 15833 + }, + { + "epoch": 0.47, + "learning_rate": 5.803404989697196e-06, + "loss": 0.6554, + "step": 15834 + }, + { + "epoch": 0.47, + "learning_rate": 5.802935399795259e-06, + "loss": 0.8384, + "step": 15835 + }, + { + "epoch": 0.47, + "learning_rate": 5.8024658026233715e-06, + "loss": 0.6302, + "step": 15836 + }, + { + "epoch": 0.47, + "learning_rate": 5.801996198185786e-06, + "loss": 0.622, + "step": 15837 + }, + { + "epoch": 0.47, + "learning_rate": 5.801526586486754e-06, + "loss": 0.589, + "step": 15838 + }, + { + "epoch": 0.47, + "learning_rate": 5.801056967530526e-06, + "loss": 0.8274, + "step": 15839 + }, + { + "epoch": 0.47, + "learning_rate": 5.800587341321356e-06, + "loss": 0.8701, + "step": 15840 + }, + { + "epoch": 0.47, + "learning_rate": 5.800117707863497e-06, + "loss": 0.7084, + "step": 15841 + }, + { + "epoch": 0.47, + "learning_rate": 5.799648067161199e-06, + "loss": 0.6496, + "step": 15842 + }, + { + "epoch": 0.47, + "learning_rate": 5.799178419218715e-06, + "loss": 0.8449, + "step": 15843 + }, + { + "epoch": 0.47, + "learning_rate": 5.798708764040296e-06, + "loss": 0.6138, + "step": 15844 + }, + { + "epoch": 0.47, + "learning_rate": 5.798239101630198e-06, + "loss": 0.829, + "step": 15845 + }, + { + "epoch": 0.47, + "learning_rate": 5.797769431992669e-06, + "loss": 0.8338, + "step": 15846 + }, + { + "epoch": 0.47, + "learning_rate": 5.797299755131966e-06, + "loss": 0.6095, + "step": 15847 + }, + { + "epoch": 0.47, + "learning_rate": 5.796830071052336e-06, + "loss": 0.7353, + "step": 15848 + }, + { + "epoch": 0.47, + "learning_rate": 5.796360379758036e-06, + "loss": 0.8238, + "step": 15849 + }, + { + "epoch": 0.47, + "learning_rate": 5.795890681253318e-06, + "loss": 0.8656, + "step": 15850 + }, + { + "epoch": 0.47, + "learning_rate": 5.795420975542434e-06, + "loss": 0.8456, + "step": 15851 + }, + { + "epoch": 0.47, + "learning_rate": 5.794951262629637e-06, + "loss": 0.8383, + "step": 15852 + }, + { + "epoch": 0.47, + "learning_rate": 5.794481542519179e-06, + "loss": 0.7891, + "step": 15853 + }, + { + "epoch": 0.47, + "learning_rate": 5.794011815215315e-06, + "loss": 0.9395, + "step": 15854 + }, + { + "epoch": 0.47, + "learning_rate": 5.793542080722296e-06, + "loss": 0.618, + "step": 15855 + }, + { + "epoch": 0.47, + "learning_rate": 5.793072339044376e-06, + "loss": 0.6979, + "step": 15856 + }, + { + "epoch": 0.47, + "learning_rate": 5.792602590185808e-06, + "loss": 0.7945, + "step": 15857 + }, + { + "epoch": 0.47, + "learning_rate": 5.792132834150845e-06, + "loss": 0.5825, + "step": 15858 + }, + { + "epoch": 0.47, + "learning_rate": 5.7916630709437404e-06, + "loss": 0.8909, + "step": 15859 + }, + { + "epoch": 0.47, + "learning_rate": 5.791193300568748e-06, + "loss": 0.4243, + "step": 15860 + }, + { + "epoch": 0.47, + "learning_rate": 5.7907235230301215e-06, + "loss": 1.007, + "step": 15861 + }, + { + "epoch": 0.47, + "learning_rate": 5.790253738332113e-06, + "loss": 0.7155, + "step": 15862 + }, + { + "epoch": 0.47, + "learning_rate": 5.789783946478976e-06, + "loss": 0.9354, + "step": 15863 + }, + { + "epoch": 0.47, + "learning_rate": 5.789314147474966e-06, + "loss": 0.7438, + "step": 15864 + }, + { + "epoch": 0.47, + "learning_rate": 5.788844341324336e-06, + "loss": 0.746, + "step": 15865 + }, + { + "epoch": 0.47, + "learning_rate": 5.788374528031339e-06, + "loss": 0.7464, + "step": 15866 + }, + { + "epoch": 0.47, + "learning_rate": 5.787904707600228e-06, + "loss": 0.8691, + "step": 15867 + }, + { + "epoch": 0.47, + "learning_rate": 5.787434880035258e-06, + "loss": 0.9025, + "step": 15868 + }, + { + "epoch": 0.47, + "learning_rate": 5.7869650453406826e-06, + "loss": 0.5997, + "step": 15869 + }, + { + "epoch": 0.47, + "learning_rate": 5.786495203520757e-06, + "loss": 0.5573, + "step": 15870 + }, + { + "epoch": 0.47, + "learning_rate": 5.786025354579734e-06, + "loss": 0.6957, + "step": 15871 + }, + { + "epoch": 0.47, + "learning_rate": 5.7855554985218674e-06, + "loss": 1.1604, + "step": 15872 + }, + { + "epoch": 0.47, + "learning_rate": 5.785085635351413e-06, + "loss": 0.7109, + "step": 15873 + }, + { + "epoch": 0.47, + "learning_rate": 5.784615765072623e-06, + "loss": 0.9623, + "step": 15874 + }, + { + "epoch": 0.47, + "learning_rate": 5.784145887689754e-06, + "loss": 0.9389, + "step": 15875 + }, + { + "epoch": 0.47, + "learning_rate": 5.783676003207057e-06, + "loss": 0.694, + "step": 15876 + }, + { + "epoch": 0.47, + "learning_rate": 5.78320611162879e-06, + "loss": 0.8011, + "step": 15877 + }, + { + "epoch": 0.47, + "learning_rate": 5.782736212959205e-06, + "loss": 0.7394, + "step": 15878 + }, + { + "epoch": 0.47, + "learning_rate": 5.782266307202557e-06, + "loss": 0.69, + "step": 15879 + }, + { + "epoch": 0.47, + "learning_rate": 5.781796394363102e-06, + "loss": 0.775, + "step": 15880 + }, + { + "epoch": 0.47, + "learning_rate": 5.781326474445095e-06, + "loss": 0.7022, + "step": 15881 + }, + { + "epoch": 0.47, + "learning_rate": 5.780856547452789e-06, + "loss": 0.9054, + "step": 15882 + }, + { + "epoch": 0.47, + "learning_rate": 5.780386613390438e-06, + "loss": 0.5724, + "step": 15883 + }, + { + "epoch": 0.47, + "learning_rate": 5.779916672262299e-06, + "loss": 0.6675, + "step": 15884 + }, + { + "epoch": 0.47, + "learning_rate": 5.779446724072627e-06, + "loss": 0.6889, + "step": 15885 + }, + { + "epoch": 0.47, + "learning_rate": 5.778976768825676e-06, + "loss": 0.7319, + "step": 15886 + }, + { + "epoch": 0.47, + "learning_rate": 5.778506806525702e-06, + "loss": 0.7393, + "step": 15887 + }, + { + "epoch": 0.47, + "learning_rate": 5.778036837176958e-06, + "loss": 0.5084, + "step": 15888 + }, + { + "epoch": 0.47, + "learning_rate": 5.777566860783701e-06, + "loss": 0.7604, + "step": 15889 + }, + { + "epoch": 0.47, + "learning_rate": 5.777096877350187e-06, + "loss": 0.6635, + "step": 15890 + }, + { + "epoch": 0.47, + "learning_rate": 5.77662688688067e-06, + "loss": 0.8285, + "step": 15891 + }, + { + "epoch": 0.47, + "learning_rate": 5.776156889379405e-06, + "loss": 0.6199, + "step": 15892 + }, + { + "epoch": 0.47, + "learning_rate": 5.77568688485065e-06, + "loss": 0.6747, + "step": 15893 + }, + { + "epoch": 0.47, + "learning_rate": 5.775216873298657e-06, + "loss": 0.5884, + "step": 15894 + }, + { + "epoch": 0.47, + "learning_rate": 5.774746854727684e-06, + "loss": 0.7451, + "step": 15895 + }, + { + "epoch": 0.47, + "learning_rate": 5.774276829141985e-06, + "loss": 0.6882, + "step": 15896 + }, + { + "epoch": 0.47, + "learning_rate": 5.773806796545818e-06, + "loss": 0.9109, + "step": 15897 + }, + { + "epoch": 0.47, + "learning_rate": 5.773336756943435e-06, + "loss": 0.7675, + "step": 15898 + }, + { + "epoch": 0.47, + "learning_rate": 5.772866710339095e-06, + "loss": 1.0611, + "step": 15899 + }, + { + "epoch": 0.47, + "learning_rate": 5.772396656737055e-06, + "loss": 0.5836, + "step": 15900 + }, + { + "epoch": 0.47, + "learning_rate": 5.771926596141568e-06, + "loss": 0.6608, + "step": 15901 + }, + { + "epoch": 0.47, + "learning_rate": 5.7714565285568915e-06, + "loss": 0.6221, + "step": 15902 + }, + { + "epoch": 0.47, + "learning_rate": 5.770986453987281e-06, + "loss": 0.5883, + "step": 15903 + }, + { + "epoch": 0.47, + "learning_rate": 5.7705163724369925e-06, + "loss": 0.7444, + "step": 15904 + }, + { + "epoch": 0.47, + "learning_rate": 5.7700462839102835e-06, + "loss": 0.9125, + "step": 15905 + }, + { + "epoch": 0.47, + "learning_rate": 5.769576188411408e-06, + "loss": 0.68, + "step": 15906 + }, + { + "epoch": 0.47, + "learning_rate": 5.769106085944626e-06, + "loss": 0.6209, + "step": 15907 + }, + { + "epoch": 0.47, + "learning_rate": 5.768635976514189e-06, + "loss": 0.9716, + "step": 15908 + }, + { + "epoch": 0.47, + "learning_rate": 5.7681658601243575e-06, + "loss": 0.8122, + "step": 15909 + }, + { + "epoch": 0.47, + "learning_rate": 5.767695736779386e-06, + "loss": 0.9392, + "step": 15910 + }, + { + "epoch": 0.47, + "learning_rate": 5.767225606483533e-06, + "loss": 0.7219, + "step": 15911 + }, + { + "epoch": 0.47, + "learning_rate": 5.7667554692410534e-06, + "loss": 0.8144, + "step": 15912 + }, + { + "epoch": 0.47, + "learning_rate": 5.766285325056204e-06, + "loss": 0.9344, + "step": 15913 + }, + { + "epoch": 0.47, + "learning_rate": 5.765815173933242e-06, + "loss": 0.703, + "step": 15914 + }, + { + "epoch": 0.47, + "learning_rate": 5.765345015876426e-06, + "loss": 0.8075, + "step": 15915 + }, + { + "epoch": 0.47, + "learning_rate": 5.76487485089001e-06, + "loss": 0.6897, + "step": 15916 + }, + { + "epoch": 0.47, + "learning_rate": 5.7644046789782515e-06, + "loss": 0.5387, + "step": 15917 + }, + { + "epoch": 0.47, + "learning_rate": 5.763934500145407e-06, + "loss": 0.6103, + "step": 15918 + }, + { + "epoch": 0.47, + "learning_rate": 5.763464314395737e-06, + "loss": 0.7624, + "step": 15919 + }, + { + "epoch": 0.47, + "learning_rate": 5.7629941217334965e-06, + "loss": 0.561, + "step": 15920 + }, + { + "epoch": 0.47, + "learning_rate": 5.762523922162942e-06, + "loss": 0.5354, + "step": 15921 + }, + { + "epoch": 0.47, + "learning_rate": 5.762053715688331e-06, + "loss": 0.814, + "step": 15922 + }, + { + "epoch": 0.47, + "learning_rate": 5.761583502313922e-06, + "loss": 0.6374, + "step": 15923 + }, + { + "epoch": 0.47, + "learning_rate": 5.7611132820439715e-06, + "loss": 0.7631, + "step": 15924 + }, + { + "epoch": 0.47, + "learning_rate": 5.760643054882737e-06, + "loss": 0.8848, + "step": 15925 + }, + { + "epoch": 0.47, + "learning_rate": 5.760172820834478e-06, + "loss": 0.621, + "step": 15926 + }, + { + "epoch": 0.47, + "learning_rate": 5.759702579903448e-06, + "loss": 0.9105, + "step": 15927 + }, + { + "epoch": 0.47, + "learning_rate": 5.759232332093908e-06, + "loss": 0.8622, + "step": 15928 + }, + { + "epoch": 0.47, + "learning_rate": 5.758762077410115e-06, + "loss": 0.6348, + "step": 15929 + }, + { + "epoch": 0.47, + "learning_rate": 5.758291815856326e-06, + "loss": 0.7819, + "step": 15930 + }, + { + "epoch": 0.47, + "learning_rate": 5.7578215474368e-06, + "loss": 0.7083, + "step": 15931 + }, + { + "epoch": 0.47, + "learning_rate": 5.7573512721557935e-06, + "loss": 0.6509, + "step": 15932 + }, + { + "epoch": 0.47, + "learning_rate": 5.756880990017567e-06, + "loss": 0.7876, + "step": 15933 + }, + { + "epoch": 0.47, + "learning_rate": 5.756410701026376e-06, + "loss": 0.6577, + "step": 15934 + }, + { + "epoch": 0.47, + "learning_rate": 5.755940405186479e-06, + "loss": 0.8087, + "step": 15935 + }, + { + "epoch": 0.47, + "learning_rate": 5.755470102502134e-06, + "loss": 0.6642, + "step": 15936 + }, + { + "epoch": 0.47, + "learning_rate": 5.754999792977601e-06, + "loss": 0.422, + "step": 15937 + }, + { + "epoch": 0.47, + "learning_rate": 5.754529476617136e-06, + "loss": 0.8887, + "step": 15938 + }, + { + "epoch": 0.47, + "learning_rate": 5.754059153424998e-06, + "loss": 0.9372, + "step": 15939 + }, + { + "epoch": 0.47, + "learning_rate": 5.753588823405447e-06, + "loss": 0.7658, + "step": 15940 + }, + { + "epoch": 0.47, + "learning_rate": 5.753118486562741e-06, + "loss": 0.7045, + "step": 15941 + }, + { + "epoch": 0.47, + "learning_rate": 5.752648142901135e-06, + "loss": 0.5915, + "step": 15942 + }, + { + "epoch": 0.47, + "learning_rate": 5.7521777924248926e-06, + "loss": 0.6982, + "step": 15943 + }, + { + "epoch": 0.47, + "learning_rate": 5.75170743513827e-06, + "loss": 0.9956, + "step": 15944 + }, + { + "epoch": 0.47, + "learning_rate": 5.751237071045527e-06, + "loss": 0.7318, + "step": 15945 + }, + { + "epoch": 0.47, + "learning_rate": 5.75076670015092e-06, + "loss": 0.801, + "step": 15946 + }, + { + "epoch": 0.47, + "learning_rate": 5.75029632245871e-06, + "loss": 0.9263, + "step": 15947 + }, + { + "epoch": 0.47, + "learning_rate": 5.749825937973154e-06, + "loss": 0.7526, + "step": 15948 + }, + { + "epoch": 0.47, + "learning_rate": 5.749355546698514e-06, + "loss": 0.7728, + "step": 15949 + }, + { + "epoch": 0.47, + "learning_rate": 5.7488851486390474e-06, + "loss": 0.7502, + "step": 15950 + }, + { + "epoch": 0.47, + "learning_rate": 5.7484147437990135e-06, + "loss": 0.524, + "step": 15951 + }, + { + "epoch": 0.47, + "learning_rate": 5.7479443321826685e-06, + "loss": 0.713, + "step": 15952 + }, + { + "epoch": 0.47, + "learning_rate": 5.747473913794277e-06, + "loss": 0.6807, + "step": 15953 + }, + { + "epoch": 0.47, + "learning_rate": 5.747003488638095e-06, + "loss": 0.756, + "step": 15954 + }, + { + "epoch": 0.47, + "learning_rate": 5.746533056718382e-06, + "loss": 0.8857, + "step": 15955 + }, + { + "epoch": 0.47, + "learning_rate": 5.746062618039398e-06, + "loss": 0.7694, + "step": 15956 + }, + { + "epoch": 0.47, + "learning_rate": 5.745592172605401e-06, + "loss": 0.5246, + "step": 15957 + }, + { + "epoch": 0.47, + "learning_rate": 5.745121720420653e-06, + "loss": 0.5898, + "step": 15958 + }, + { + "epoch": 0.47, + "learning_rate": 5.744651261489413e-06, + "loss": 0.7832, + "step": 15959 + }, + { + "epoch": 0.47, + "learning_rate": 5.744180795815938e-06, + "loss": 0.7244, + "step": 15960 + }, + { + "epoch": 0.47, + "learning_rate": 5.74371032340449e-06, + "loss": 0.48, + "step": 15961 + }, + { + "epoch": 0.47, + "learning_rate": 5.743239844259327e-06, + "loss": 0.5834, + "step": 15962 + }, + { + "epoch": 0.47, + "learning_rate": 5.742769358384713e-06, + "loss": 0.717, + "step": 15963 + }, + { + "epoch": 0.47, + "learning_rate": 5.7422988657849044e-06, + "loss": 0.6933, + "step": 15964 + }, + { + "epoch": 0.47, + "learning_rate": 5.741828366464162e-06, + "loss": 0.6402, + "step": 15965 + }, + { + "epoch": 0.47, + "learning_rate": 5.741357860426744e-06, + "loss": 0.6521, + "step": 15966 + }, + { + "epoch": 0.47, + "learning_rate": 5.740887347676913e-06, + "loss": 0.7161, + "step": 15967 + }, + { + "epoch": 0.47, + "learning_rate": 5.740416828218927e-06, + "loss": 0.6994, + "step": 15968 + }, + { + "epoch": 0.47, + "learning_rate": 5.739946302057049e-06, + "loss": 0.8675, + "step": 15969 + }, + { + "epoch": 0.47, + "learning_rate": 5.739475769195537e-06, + "loss": 0.6086, + "step": 15970 + }, + { + "epoch": 0.47, + "learning_rate": 5.7390052296386525e-06, + "loss": 0.9026, + "step": 15971 + }, + { + "epoch": 0.47, + "learning_rate": 5.738534683390654e-06, + "loss": 0.8871, + "step": 15972 + }, + { + "epoch": 0.47, + "learning_rate": 5.738064130455805e-06, + "loss": 0.5812, + "step": 15973 + }, + { + "epoch": 0.47, + "learning_rate": 5.737593570838364e-06, + "loss": 0.7215, + "step": 15974 + }, + { + "epoch": 0.47, + "learning_rate": 5.73712300454259e-06, + "loss": 0.5092, + "step": 15975 + }, + { + "epoch": 0.47, + "learning_rate": 5.736652431572747e-06, + "loss": 0.6786, + "step": 15976 + }, + { + "epoch": 0.47, + "learning_rate": 5.736181851933094e-06, + "loss": 0.6252, + "step": 15977 + }, + { + "epoch": 0.47, + "learning_rate": 5.735711265627892e-06, + "loss": 0.729, + "step": 15978 + }, + { + "epoch": 0.47, + "learning_rate": 5.7352406726614e-06, + "loss": 0.7657, + "step": 15979 + }, + { + "epoch": 0.47, + "learning_rate": 5.734770073037882e-06, + "loss": 0.6223, + "step": 15980 + }, + { + "epoch": 0.47, + "learning_rate": 5.734299466761596e-06, + "loss": 0.6316, + "step": 15981 + }, + { + "epoch": 0.47, + "learning_rate": 5.733828853836805e-06, + "loss": 0.8322, + "step": 15982 + }, + { + "epoch": 0.47, + "learning_rate": 5.733358234267768e-06, + "loss": 0.9371, + "step": 15983 + }, + { + "epoch": 0.47, + "learning_rate": 5.732887608058749e-06, + "loss": 0.6192, + "step": 15984 + }, + { + "epoch": 0.47, + "learning_rate": 5.732416975214008e-06, + "loss": 0.62, + "step": 15985 + }, + { + "epoch": 0.47, + "learning_rate": 5.731946335737805e-06, + "loss": 0.7254, + "step": 15986 + }, + { + "epoch": 0.47, + "learning_rate": 5.7314756896344e-06, + "loss": 0.8034, + "step": 15987 + }, + { + "epoch": 0.47, + "learning_rate": 5.731005036908059e-06, + "loss": 0.6004, + "step": 15988 + }, + { + "epoch": 0.47, + "learning_rate": 5.730534377563041e-06, + "loss": 0.7569, + "step": 15989 + }, + { + "epoch": 0.47, + "learning_rate": 5.7300637116036064e-06, + "loss": 0.5517, + "step": 15990 + }, + { + "epoch": 0.47, + "learning_rate": 5.729593039034016e-06, + "loss": 0.5899, + "step": 15991 + }, + { + "epoch": 0.47, + "learning_rate": 5.729122359858534e-06, + "loss": 0.5042, + "step": 15992 + }, + { + "epoch": 0.47, + "learning_rate": 5.7286516740814224e-06, + "loss": 0.7502, + "step": 15993 + }, + { + "epoch": 0.47, + "learning_rate": 5.72818098170694e-06, + "loss": 0.6009, + "step": 15994 + }, + { + "epoch": 0.47, + "learning_rate": 5.7277102827393505e-06, + "loss": 0.7045, + "step": 15995 + }, + { + "epoch": 0.47, + "learning_rate": 5.727239577182915e-06, + "loss": 0.5791, + "step": 15996 + }, + { + "epoch": 0.47, + "learning_rate": 5.726768865041896e-06, + "loss": 0.7795, + "step": 15997 + }, + { + "epoch": 0.47, + "learning_rate": 5.726298146320555e-06, + "loss": 0.7899, + "step": 15998 + }, + { + "epoch": 0.47, + "learning_rate": 5.725827421023153e-06, + "loss": 0.672, + "step": 15999 + }, + { + "epoch": 0.47, + "learning_rate": 5.7253566891539535e-06, + "loss": 0.7305, + "step": 16000 + }, + { + "epoch": 0.47, + "learning_rate": 5.724885950717218e-06, + "loss": 0.8351, + "step": 16001 + }, + { + "epoch": 0.47, + "learning_rate": 5.724415205717209e-06, + "loss": 0.7301, + "step": 16002 + }, + { + "epoch": 0.47, + "learning_rate": 5.723944454158188e-06, + "loss": 0.6002, + "step": 16003 + }, + { + "epoch": 0.47, + "learning_rate": 5.723473696044418e-06, + "loss": 0.62, + "step": 16004 + }, + { + "epoch": 0.47, + "learning_rate": 5.723002931380162e-06, + "loss": 0.4625, + "step": 16005 + }, + { + "epoch": 0.47, + "learning_rate": 5.722532160169681e-06, + "loss": 0.8148, + "step": 16006 + }, + { + "epoch": 0.47, + "learning_rate": 5.722061382417236e-06, + "loss": 0.744, + "step": 16007 + }, + { + "epoch": 0.47, + "learning_rate": 5.721590598127094e-06, + "loss": 0.8554, + "step": 16008 + }, + { + "epoch": 0.47, + "learning_rate": 5.721119807303515e-06, + "loss": 0.502, + "step": 16009 + }, + { + "epoch": 0.47, + "learning_rate": 5.720649009950762e-06, + "loss": 0.853, + "step": 16010 + }, + { + "epoch": 0.47, + "learning_rate": 5.720178206073096e-06, + "loss": 0.5959, + "step": 16011 + }, + { + "epoch": 0.47, + "learning_rate": 5.719707395674783e-06, + "loss": 0.8035, + "step": 16012 + }, + { + "epoch": 0.47, + "learning_rate": 5.719236578760082e-06, + "loss": 0.6907, + "step": 16013 + }, + { + "epoch": 0.47, + "learning_rate": 5.71876575533326e-06, + "loss": 0.5657, + "step": 16014 + }, + { + "epoch": 0.47, + "learning_rate": 5.7182949253985765e-06, + "loss": 0.732, + "step": 16015 + }, + { + "epoch": 0.47, + "learning_rate": 5.717824088960296e-06, + "loss": 0.6611, + "step": 16016 + }, + { + "epoch": 0.47, + "learning_rate": 5.717353246022683e-06, + "loss": 0.4644, + "step": 16017 + }, + { + "epoch": 0.47, + "learning_rate": 5.716882396589998e-06, + "loss": 0.7325, + "step": 16018 + }, + { + "epoch": 0.47, + "learning_rate": 5.716411540666505e-06, + "loss": 0.6466, + "step": 16019 + }, + { + "epoch": 0.47, + "learning_rate": 5.715940678256467e-06, + "loss": 0.6618, + "step": 16020 + }, + { + "epoch": 0.47, + "learning_rate": 5.715469809364147e-06, + "loss": 0.8199, + "step": 16021 + }, + { + "epoch": 0.47, + "learning_rate": 5.714998933993811e-06, + "loss": 0.7453, + "step": 16022 + }, + { + "epoch": 0.47, + "learning_rate": 5.71452805214972e-06, + "loss": 0.7666, + "step": 16023 + }, + { + "epoch": 0.47, + "learning_rate": 5.714057163836137e-06, + "loss": 0.7181, + "step": 16024 + }, + { + "epoch": 0.47, + "learning_rate": 5.713586269057327e-06, + "loss": 0.9064, + "step": 16025 + }, + { + "epoch": 0.47, + "learning_rate": 5.713115367817552e-06, + "loss": 0.5114, + "step": 16026 + }, + { + "epoch": 0.47, + "learning_rate": 5.712644460121078e-06, + "loss": 0.8111, + "step": 16027 + }, + { + "epoch": 0.47, + "learning_rate": 5.712173545972167e-06, + "loss": 0.5994, + "step": 16028 + }, + { + "epoch": 0.47, + "learning_rate": 5.711702625375084e-06, + "loss": 0.6593, + "step": 16029 + }, + { + "epoch": 0.47, + "learning_rate": 5.711231698334091e-06, + "loss": 0.6343, + "step": 16030 + }, + { + "epoch": 0.47, + "learning_rate": 5.710760764853453e-06, + "loss": 0.9554, + "step": 16031 + }, + { + "epoch": 0.47, + "learning_rate": 5.710289824937434e-06, + "loss": 0.7593, + "step": 16032 + }, + { + "epoch": 0.47, + "learning_rate": 5.709818878590297e-06, + "loss": 0.7341, + "step": 16033 + }, + { + "epoch": 0.47, + "learning_rate": 5.7093479258163075e-06, + "loss": 0.6098, + "step": 16034 + }, + { + "epoch": 0.47, + "learning_rate": 5.708876966619729e-06, + "loss": 0.7733, + "step": 16035 + }, + { + "epoch": 0.47, + "learning_rate": 5.708406001004826e-06, + "loss": 0.7286, + "step": 16036 + }, + { + "epoch": 0.47, + "learning_rate": 5.707935028975862e-06, + "loss": 0.7694, + "step": 16037 + }, + { + "epoch": 0.47, + "learning_rate": 5.707464050537102e-06, + "loss": 0.8576, + "step": 16038 + }, + { + "epoch": 0.47, + "learning_rate": 5.706993065692809e-06, + "loss": 0.7617, + "step": 16039 + }, + { + "epoch": 0.47, + "learning_rate": 5.706522074447248e-06, + "loss": 0.5842, + "step": 16040 + }, + { + "epoch": 0.47, + "learning_rate": 5.706051076804684e-06, + "loss": 0.7875, + "step": 16041 + }, + { + "epoch": 0.47, + "learning_rate": 5.705580072769382e-06, + "loss": 0.7376, + "step": 16042 + }, + { + "epoch": 0.47, + "learning_rate": 5.705109062345606e-06, + "loss": 0.7849, + "step": 16043 + }, + { + "epoch": 0.47, + "learning_rate": 5.7046380455376205e-06, + "loss": 0.7604, + "step": 16044 + }, + { + "epoch": 0.47, + "learning_rate": 5.7041670223496895e-06, + "loss": 0.8082, + "step": 16045 + }, + { + "epoch": 0.47, + "learning_rate": 5.703695992786078e-06, + "loss": 0.5426, + "step": 16046 + }, + { + "epoch": 0.47, + "learning_rate": 5.703224956851052e-06, + "loss": 0.819, + "step": 16047 + }, + { + "epoch": 0.47, + "learning_rate": 5.702753914548875e-06, + "loss": 0.5296, + "step": 16048 + }, + { + "epoch": 0.47, + "learning_rate": 5.702282865883813e-06, + "loss": 0.7062, + "step": 16049 + }, + { + "epoch": 0.47, + "learning_rate": 5.701811810860132e-06, + "loss": 0.468, + "step": 16050 + }, + { + "epoch": 0.47, + "learning_rate": 5.7013407494820925e-06, + "loss": 0.4484, + "step": 16051 + }, + { + "epoch": 0.47, + "learning_rate": 5.700869681753965e-06, + "loss": 0.8172, + "step": 16052 + }, + { + "epoch": 0.47, + "learning_rate": 5.700398607680011e-06, + "loss": 0.8987, + "step": 16053 + }, + { + "epoch": 0.47, + "learning_rate": 5.699927527264499e-06, + "loss": 0.6931, + "step": 16054 + }, + { + "epoch": 0.47, + "learning_rate": 5.699456440511691e-06, + "loss": 0.7878, + "step": 16055 + }, + { + "epoch": 0.47, + "learning_rate": 5.698985347425852e-06, + "loss": 0.7195, + "step": 16056 + }, + { + "epoch": 0.47, + "learning_rate": 5.698514248011251e-06, + "loss": 0.7543, + "step": 16057 + }, + { + "epoch": 0.47, + "learning_rate": 5.69804314227215e-06, + "loss": 0.7233, + "step": 16058 + }, + { + "epoch": 0.47, + "learning_rate": 5.697572030212817e-06, + "loss": 0.6094, + "step": 16059 + }, + { + "epoch": 0.47, + "learning_rate": 5.697100911837515e-06, + "loss": 1.0296, + "step": 16060 + }, + { + "epoch": 0.47, + "learning_rate": 5.696629787150511e-06, + "loss": 0.8279, + "step": 16061 + }, + { + "epoch": 0.47, + "learning_rate": 5.696158656156072e-06, + "loss": 0.7754, + "step": 16062 + }, + { + "epoch": 0.47, + "learning_rate": 5.695687518858463e-06, + "loss": 0.618, + "step": 16063 + }, + { + "epoch": 0.47, + "learning_rate": 5.695216375261948e-06, + "loss": 0.562, + "step": 16064 + }, + { + "epoch": 0.47, + "learning_rate": 5.694745225370794e-06, + "loss": 0.9653, + "step": 16065 + }, + { + "epoch": 0.47, + "learning_rate": 5.6942740691892675e-06, + "loss": 0.8228, + "step": 16066 + }, + { + "epoch": 0.47, + "learning_rate": 5.693802906721633e-06, + "loss": 1.016, + "step": 16067 + }, + { + "epoch": 0.47, + "learning_rate": 5.693331737972159e-06, + "loss": 0.6985, + "step": 16068 + }, + { + "epoch": 0.47, + "learning_rate": 5.692860562945108e-06, + "loss": 0.6759, + "step": 16069 + }, + { + "epoch": 0.47, + "learning_rate": 5.692389381644748e-06, + "loss": 0.711, + "step": 16070 + }, + { + "epoch": 0.47, + "learning_rate": 5.691918194075346e-06, + "loss": 0.7057, + "step": 16071 + }, + { + "epoch": 0.47, + "learning_rate": 5.691447000241168e-06, + "loss": 0.6357, + "step": 16072 + }, + { + "epoch": 0.47, + "learning_rate": 5.69097580014648e-06, + "loss": 0.7632, + "step": 16073 + }, + { + "epoch": 0.47, + "learning_rate": 5.690504593795547e-06, + "loss": 0.6404, + "step": 16074 + }, + { + "epoch": 0.47, + "learning_rate": 5.690033381192638e-06, + "loss": 0.654, + "step": 16075 + }, + { + "epoch": 0.47, + "learning_rate": 5.689562162342017e-06, + "loss": 0.7238, + "step": 16076 + }, + { + "epoch": 0.47, + "learning_rate": 5.689090937247951e-06, + "loss": 0.6516, + "step": 16077 + }, + { + "epoch": 0.47, + "learning_rate": 5.688619705914707e-06, + "loss": 0.8729, + "step": 16078 + }, + { + "epoch": 0.47, + "learning_rate": 5.688148468346552e-06, + "loss": 0.8983, + "step": 16079 + }, + { + "epoch": 0.47, + "learning_rate": 5.687677224547753e-06, + "loss": 0.8883, + "step": 16080 + }, + { + "epoch": 0.47, + "learning_rate": 5.687205974522576e-06, + "loss": 0.603, + "step": 16081 + }, + { + "epoch": 0.47, + "learning_rate": 5.6867347182752875e-06, + "loss": 0.5798, + "step": 16082 + }, + { + "epoch": 0.47, + "learning_rate": 5.686263455810155e-06, + "loss": 0.5964, + "step": 16083 + }, + { + "epoch": 0.47, + "learning_rate": 5.6857921871314455e-06, + "loss": 0.6612, + "step": 16084 + }, + { + "epoch": 0.47, + "learning_rate": 5.685320912243424e-06, + "loss": 0.8471, + "step": 16085 + }, + { + "epoch": 0.47, + "learning_rate": 5.6848496311503605e-06, + "loss": 0.8513, + "step": 16086 + }, + { + "epoch": 0.47, + "learning_rate": 5.6843783438565215e-06, + "loss": 0.6058, + "step": 16087 + }, + { + "epoch": 0.47, + "learning_rate": 5.683907050366173e-06, + "loss": 0.6328, + "step": 16088 + }, + { + "epoch": 0.47, + "learning_rate": 5.683435750683581e-06, + "loss": 0.5872, + "step": 16089 + }, + { + "epoch": 0.47, + "learning_rate": 5.682964444813015e-06, + "loss": 1.0343, + "step": 16090 + }, + { + "epoch": 0.47, + "learning_rate": 5.682493132758743e-06, + "loss": 0.5882, + "step": 16091 + }, + { + "epoch": 0.47, + "learning_rate": 5.6820218145250305e-06, + "loss": 0.5968, + "step": 16092 + }, + { + "epoch": 0.47, + "learning_rate": 5.681550490116145e-06, + "loss": 0.7356, + "step": 16093 + }, + { + "epoch": 0.47, + "learning_rate": 5.681079159536355e-06, + "loss": 0.5084, + "step": 16094 + }, + { + "epoch": 0.47, + "learning_rate": 5.680607822789925e-06, + "loss": 0.7564, + "step": 16095 + }, + { + "epoch": 0.47, + "learning_rate": 5.6801364798811285e-06, + "loss": 0.8533, + "step": 16096 + }, + { + "epoch": 0.47, + "learning_rate": 5.6796651308142294e-06, + "loss": 0.7192, + "step": 16097 + }, + { + "epoch": 0.47, + "learning_rate": 5.679193775593494e-06, + "loss": 0.6783, + "step": 16098 + }, + { + "epoch": 0.47, + "learning_rate": 5.678722414223192e-06, + "loss": 0.653, + "step": 16099 + }, + { + "epoch": 0.47, + "learning_rate": 5.67825104670759e-06, + "loss": 0.7482, + "step": 16100 + }, + { + "epoch": 0.47, + "learning_rate": 5.677779673050958e-06, + "loss": 0.5607, + "step": 16101 + }, + { + "epoch": 0.47, + "learning_rate": 5.677308293257562e-06, + "loss": 0.6192, + "step": 16102 + }, + { + "epoch": 0.47, + "learning_rate": 5.6768369073316724e-06, + "loss": 0.8828, + "step": 16103 + }, + { + "epoch": 0.47, + "learning_rate": 5.676365515277553e-06, + "loss": 0.6667, + "step": 16104 + }, + { + "epoch": 0.47, + "learning_rate": 5.6758941170994754e-06, + "loss": 0.856, + "step": 16105 + }, + { + "epoch": 0.47, + "learning_rate": 5.675422712801707e-06, + "loss": 0.6945, + "step": 16106 + }, + { + "epoch": 0.47, + "learning_rate": 5.674951302388516e-06, + "loss": 0.7756, + "step": 16107 + }, + { + "epoch": 0.47, + "learning_rate": 5.67447988586417e-06, + "loss": 0.7419, + "step": 16108 + }, + { + "epoch": 0.47, + "learning_rate": 5.6740084632329376e-06, + "loss": 0.8113, + "step": 16109 + }, + { + "epoch": 0.47, + "learning_rate": 5.673537034499086e-06, + "loss": 0.7909, + "step": 16110 + }, + { + "epoch": 0.47, + "learning_rate": 5.673065599666887e-06, + "loss": 0.6114, + "step": 16111 + }, + { + "epoch": 0.47, + "learning_rate": 5.672594158740605e-06, + "loss": 0.9616, + "step": 16112 + }, + { + "epoch": 0.47, + "learning_rate": 5.672122711724512e-06, + "loss": 0.5239, + "step": 16113 + }, + { + "epoch": 0.47, + "learning_rate": 5.671651258622875e-06, + "loss": 0.8098, + "step": 16114 + }, + { + "epoch": 0.47, + "learning_rate": 5.671179799439961e-06, + "loss": 0.718, + "step": 16115 + }, + { + "epoch": 0.47, + "learning_rate": 5.670708334180042e-06, + "loss": 0.874, + "step": 16116 + }, + { + "epoch": 0.47, + "learning_rate": 5.670236862847385e-06, + "loss": 0.7486, + "step": 16117 + }, + { + "epoch": 0.47, + "learning_rate": 5.669765385446259e-06, + "loss": 0.953, + "step": 16118 + }, + { + "epoch": 0.47, + "learning_rate": 5.669293901980933e-06, + "loss": 0.6497, + "step": 16119 + }, + { + "epoch": 0.47, + "learning_rate": 5.668822412455674e-06, + "loss": 0.7245, + "step": 16120 + }, + { + "epoch": 0.47, + "learning_rate": 5.668350916874754e-06, + "loss": 0.8639, + "step": 16121 + }, + { + "epoch": 0.47, + "learning_rate": 5.667879415242441e-06, + "loss": 0.8615, + "step": 16122 + }, + { + "epoch": 0.47, + "learning_rate": 5.667407907563003e-06, + "loss": 1.0058, + "step": 16123 + }, + { + "epoch": 0.47, + "learning_rate": 5.66693639384071e-06, + "loss": 0.6131, + "step": 16124 + }, + { + "epoch": 0.47, + "learning_rate": 5.666464874079831e-06, + "loss": 0.4142, + "step": 16125 + }, + { + "epoch": 0.47, + "learning_rate": 5.665993348284635e-06, + "loss": 0.9005, + "step": 16126 + }, + { + "epoch": 0.47, + "learning_rate": 5.665521816459393e-06, + "loss": 0.6637, + "step": 16127 + }, + { + "epoch": 0.47, + "learning_rate": 5.665050278608372e-06, + "loss": 0.7978, + "step": 16128 + }, + { + "epoch": 0.47, + "learning_rate": 5.664578734735841e-06, + "loss": 0.5518, + "step": 16129 + }, + { + "epoch": 0.47, + "learning_rate": 5.664107184846073e-06, + "loss": 0.7386, + "step": 16130 + }, + { + "epoch": 0.47, + "learning_rate": 5.663635628943335e-06, + "loss": 0.7528, + "step": 16131 + }, + { + "epoch": 0.47, + "learning_rate": 5.663164067031896e-06, + "loss": 0.6067, + "step": 16132 + }, + { + "epoch": 0.47, + "learning_rate": 5.6626924991160274e-06, + "loss": 0.4508, + "step": 16133 + }, + { + "epoch": 0.47, + "learning_rate": 5.662220925199997e-06, + "loss": 0.7327, + "step": 16134 + }, + { + "epoch": 0.47, + "learning_rate": 5.661749345288076e-06, + "loss": 0.7646, + "step": 16135 + }, + { + "epoch": 0.47, + "learning_rate": 5.661277759384533e-06, + "loss": 0.5374, + "step": 16136 + }, + { + "epoch": 0.47, + "learning_rate": 5.660806167493641e-06, + "loss": 0.7582, + "step": 16137 + }, + { + "epoch": 0.47, + "learning_rate": 5.660334569619666e-06, + "loss": 0.9297, + "step": 16138 + }, + { + "epoch": 0.47, + "learning_rate": 5.659862965766879e-06, + "loss": 0.8706, + "step": 16139 + }, + { + "epoch": 0.47, + "learning_rate": 5.659391355939552e-06, + "loss": 0.7512, + "step": 16140 + }, + { + "epoch": 0.47, + "learning_rate": 5.658919740141952e-06, + "loss": 0.667, + "step": 16141 + }, + { + "epoch": 0.47, + "learning_rate": 5.658448118378351e-06, + "loss": 0.885, + "step": 16142 + }, + { + "epoch": 0.47, + "learning_rate": 5.657976490653019e-06, + "loss": 0.7329, + "step": 16143 + }, + { + "epoch": 0.47, + "learning_rate": 5.657504856970224e-06, + "loss": 0.4985, + "step": 16144 + }, + { + "epoch": 0.47, + "learning_rate": 5.65703321733424e-06, + "loss": 0.6157, + "step": 16145 + }, + { + "epoch": 0.47, + "learning_rate": 5.656561571749336e-06, + "loss": 0.5618, + "step": 16146 + }, + { + "epoch": 0.47, + "learning_rate": 5.656089920219782e-06, + "loss": 0.8797, + "step": 16147 + }, + { + "epoch": 0.47, + "learning_rate": 5.655618262749847e-06, + "loss": 0.7867, + "step": 16148 + }, + { + "epoch": 0.47, + "learning_rate": 5.655146599343803e-06, + "loss": 0.881, + "step": 16149 + }, + { + "epoch": 0.47, + "learning_rate": 5.654674930005921e-06, + "loss": 0.7295, + "step": 16150 + }, + { + "epoch": 0.47, + "learning_rate": 5.654203254740471e-06, + "loss": 0.6525, + "step": 16151 + }, + { + "epoch": 0.47, + "learning_rate": 5.653731573551724e-06, + "loss": 0.7939, + "step": 16152 + }, + { + "epoch": 0.47, + "learning_rate": 5.65325988644395e-06, + "loss": 0.7755, + "step": 16153 + }, + { + "epoch": 0.47, + "learning_rate": 5.65278819342142e-06, + "loss": 0.9132, + "step": 16154 + }, + { + "epoch": 0.47, + "learning_rate": 5.652316494488406e-06, + "loss": 0.7004, + "step": 16155 + }, + { + "epoch": 0.47, + "learning_rate": 5.651844789649177e-06, + "loss": 0.8694, + "step": 16156 + }, + { + "epoch": 0.47, + "learning_rate": 5.651373078908005e-06, + "loss": 0.9835, + "step": 16157 + }, + { + "epoch": 0.47, + "learning_rate": 5.65090136226916e-06, + "loss": 0.9469, + "step": 16158 + }, + { + "epoch": 0.47, + "learning_rate": 5.650429639736914e-06, + "loss": 0.7478, + "step": 16159 + }, + { + "epoch": 0.47, + "learning_rate": 5.649957911315538e-06, + "loss": 0.8651, + "step": 16160 + }, + { + "epoch": 0.47, + "learning_rate": 5.649486177009302e-06, + "loss": 0.7816, + "step": 16161 + }, + { + "epoch": 0.47, + "learning_rate": 5.64901443682248e-06, + "loss": 0.8533, + "step": 16162 + }, + { + "epoch": 0.47, + "learning_rate": 5.64854269075934e-06, + "loss": 0.7668, + "step": 16163 + }, + { + "epoch": 0.47, + "learning_rate": 5.648070938824154e-06, + "loss": 0.6027, + "step": 16164 + }, + { + "epoch": 0.47, + "learning_rate": 5.647599181021195e-06, + "loss": 0.5705, + "step": 16165 + }, + { + "epoch": 0.47, + "learning_rate": 5.647127417354733e-06, + "loss": 0.8128, + "step": 16166 + }, + { + "epoch": 0.47, + "learning_rate": 5.6466556478290405e-06, + "loss": 0.8374, + "step": 16167 + }, + { + "epoch": 0.47, + "learning_rate": 5.646183872448389e-06, + "loss": 0.4819, + "step": 16168 + }, + { + "epoch": 0.48, + "learning_rate": 5.645712091217046e-06, + "loss": 0.6969, + "step": 16169 + }, + { + "epoch": 0.48, + "learning_rate": 5.645240304139289e-06, + "loss": 0.5111, + "step": 16170 + }, + { + "epoch": 0.48, + "learning_rate": 5.644768511219387e-06, + "loss": 0.6378, + "step": 16171 + }, + { + "epoch": 0.48, + "learning_rate": 5.644296712461612e-06, + "loss": 0.7433, + "step": 16172 + }, + { + "epoch": 0.48, + "learning_rate": 5.643824907870236e-06, + "loss": 0.6387, + "step": 16173 + }, + { + "epoch": 0.48, + "learning_rate": 5.6433530974495285e-06, + "loss": 0.7747, + "step": 16174 + }, + { + "epoch": 0.48, + "learning_rate": 5.642881281203765e-06, + "loss": 0.7022, + "step": 16175 + }, + { + "epoch": 0.48, + "learning_rate": 5.642409459137216e-06, + "loss": 0.6552, + "step": 16176 + }, + { + "epoch": 0.48, + "learning_rate": 5.641937631254152e-06, + "loss": 0.8854, + "step": 16177 + }, + { + "epoch": 0.48, + "learning_rate": 5.641465797558847e-06, + "loss": 0.7482, + "step": 16178 + }, + { + "epoch": 0.48, + "learning_rate": 5.640993958055573e-06, + "loss": 0.823, + "step": 16179 + }, + { + "epoch": 0.48, + "learning_rate": 5.640522112748601e-06, + "loss": 0.686, + "step": 16180 + }, + { + "epoch": 0.48, + "learning_rate": 5.640050261642203e-06, + "loss": 0.7767, + "step": 16181 + }, + { + "epoch": 0.48, + "learning_rate": 5.6395784047406534e-06, + "loss": 0.9372, + "step": 16182 + }, + { + "epoch": 0.48, + "learning_rate": 5.639106542048222e-06, + "loss": 0.7164, + "step": 16183 + }, + { + "epoch": 0.48, + "learning_rate": 5.638634673569181e-06, + "loss": 0.4896, + "step": 16184 + }, + { + "epoch": 0.48, + "learning_rate": 5.638162799307805e-06, + "loss": 0.7979, + "step": 16185 + }, + { + "epoch": 0.48, + "learning_rate": 5.637690919268365e-06, + "loss": 0.6148, + "step": 16186 + }, + { + "epoch": 0.48, + "learning_rate": 5.637219033455134e-06, + "loss": 0.8249, + "step": 16187 + }, + { + "epoch": 0.48, + "learning_rate": 5.636747141872385e-06, + "loss": 0.5981, + "step": 16188 + }, + { + "epoch": 0.48, + "learning_rate": 5.63627524452439e-06, + "loss": 0.5732, + "step": 16189 + }, + { + "epoch": 0.48, + "learning_rate": 5.635803341415421e-06, + "loss": 0.5586, + "step": 16190 + }, + { + "epoch": 0.48, + "learning_rate": 5.635331432549753e-06, + "loss": 0.7715, + "step": 16191 + }, + { + "epoch": 0.48, + "learning_rate": 5.634859517931657e-06, + "loss": 0.9322, + "step": 16192 + }, + { + "epoch": 0.48, + "learning_rate": 5.634387597565404e-06, + "loss": 0.732, + "step": 16193 + }, + { + "epoch": 0.48, + "learning_rate": 5.63391567145527e-06, + "loss": 0.5598, + "step": 16194 + }, + { + "epoch": 0.48, + "learning_rate": 5.6334437396055274e-06, + "loss": 0.6024, + "step": 16195 + }, + { + "epoch": 0.48, + "learning_rate": 5.632971802020448e-06, + "loss": 0.8294, + "step": 16196 + }, + { + "epoch": 0.48, + "learning_rate": 5.632499858704305e-06, + "loss": 0.579, + "step": 16197 + }, + { + "epoch": 0.48, + "learning_rate": 5.632027909661374e-06, + "loss": 0.8901, + "step": 16198 + }, + { + "epoch": 0.48, + "learning_rate": 5.631555954895924e-06, + "loss": 0.9068, + "step": 16199 + }, + { + "epoch": 0.48, + "learning_rate": 5.631083994412231e-06, + "loss": 0.6471, + "step": 16200 + }, + { + "epoch": 0.48, + "learning_rate": 5.630612028214567e-06, + "loss": 0.6107, + "step": 16201 + }, + { + "epoch": 0.48, + "learning_rate": 5.630140056307206e-06, + "loss": 0.7102, + "step": 16202 + }, + { + "epoch": 0.48, + "learning_rate": 5.629668078694421e-06, + "loss": 0.8432, + "step": 16203 + }, + { + "epoch": 0.48, + "learning_rate": 5.629196095380485e-06, + "loss": 0.7153, + "step": 16204 + }, + { + "epoch": 0.48, + "learning_rate": 5.628724106369673e-06, + "loss": 0.9751, + "step": 16205 + }, + { + "epoch": 0.48, + "learning_rate": 5.628252111666256e-06, + "loss": 0.6035, + "step": 16206 + }, + { + "epoch": 0.48, + "learning_rate": 5.62778011127451e-06, + "loss": 0.6389, + "step": 16207 + }, + { + "epoch": 0.48, + "learning_rate": 5.627308105198706e-06, + "loss": 0.8822, + "step": 16208 + }, + { + "epoch": 0.48, + "learning_rate": 5.62683609344312e-06, + "loss": 0.7869, + "step": 16209 + }, + { + "epoch": 0.48, + "learning_rate": 5.626364076012025e-06, + "loss": 0.7667, + "step": 16210 + }, + { + "epoch": 0.48, + "learning_rate": 5.625892052909695e-06, + "loss": 1.0028, + "step": 16211 + }, + { + "epoch": 0.48, + "learning_rate": 5.6254200241404035e-06, + "loss": 0.8818, + "step": 16212 + }, + { + "epoch": 0.48, + "learning_rate": 5.624947989708422e-06, + "loss": 0.687, + "step": 16213 + }, + { + "epoch": 0.48, + "learning_rate": 5.624475949618029e-06, + "loss": 0.6569, + "step": 16214 + }, + { + "epoch": 0.48, + "learning_rate": 5.624003903873496e-06, + "loss": 1.0025, + "step": 16215 + }, + { + "epoch": 0.48, + "learning_rate": 5.6235318524790975e-06, + "loss": 0.6352, + "step": 16216 + }, + { + "epoch": 0.48, + "learning_rate": 5.623059795439106e-06, + "loss": 1.0862, + "step": 16217 + }, + { + "epoch": 0.48, + "learning_rate": 5.622587732757797e-06, + "loss": 0.6005, + "step": 16218 + }, + { + "epoch": 0.48, + "learning_rate": 5.622115664439445e-06, + "loss": 0.7358, + "step": 16219 + }, + { + "epoch": 0.48, + "learning_rate": 5.621643590488323e-06, + "loss": 0.6984, + "step": 16220 + }, + { + "epoch": 0.48, + "learning_rate": 5.621171510908706e-06, + "loss": 0.7711, + "step": 16221 + }, + { + "epoch": 0.48, + "learning_rate": 5.620699425704867e-06, + "loss": 0.9585, + "step": 16222 + }, + { + "epoch": 0.48, + "learning_rate": 5.620227334881083e-06, + "loss": 0.7617, + "step": 16223 + }, + { + "epoch": 0.48, + "learning_rate": 5.6197552384416265e-06, + "loss": 0.7651, + "step": 16224 + }, + { + "epoch": 0.48, + "learning_rate": 5.619283136390773e-06, + "loss": 1.0941, + "step": 16225 + }, + { + "epoch": 0.48, + "learning_rate": 5.618811028732795e-06, + "loss": 0.639, + "step": 16226 + }, + { + "epoch": 0.48, + "learning_rate": 5.61833891547197e-06, + "loss": 0.7188, + "step": 16227 + }, + { + "epoch": 0.48, + "learning_rate": 5.61786679661257e-06, + "loss": 0.9447, + "step": 16228 + }, + { + "epoch": 0.48, + "learning_rate": 5.617394672158872e-06, + "loss": 0.559, + "step": 16229 + }, + { + "epoch": 0.48, + "learning_rate": 5.616922542115149e-06, + "loss": 0.871, + "step": 16230 + }, + { + "epoch": 0.48, + "learning_rate": 5.616450406485676e-06, + "loss": 0.6922, + "step": 16231 + }, + { + "epoch": 0.48, + "learning_rate": 5.615978265274729e-06, + "loss": 0.6814, + "step": 16232 + }, + { + "epoch": 0.48, + "learning_rate": 5.61550611848658e-06, + "loss": 0.6602, + "step": 16233 + }, + { + "epoch": 0.48, + "learning_rate": 5.615033966125507e-06, + "loss": 0.6406, + "step": 16234 + }, + { + "epoch": 0.48, + "learning_rate": 5.614561808195786e-06, + "loss": 0.7793, + "step": 16235 + }, + { + "epoch": 0.48, + "learning_rate": 5.614089644701687e-06, + "loss": 0.8867, + "step": 16236 + }, + { + "epoch": 0.48, + "learning_rate": 5.61361747564749e-06, + "loss": 0.6037, + "step": 16237 + }, + { + "epoch": 0.48, + "learning_rate": 5.6131453010374655e-06, + "loss": 0.6759, + "step": 16238 + }, + { + "epoch": 0.48, + "learning_rate": 5.6126731208758934e-06, + "loss": 0.8102, + "step": 16239 + }, + { + "epoch": 0.48, + "learning_rate": 5.612200935167046e-06, + "loss": 0.7179, + "step": 16240 + }, + { + "epoch": 0.48, + "learning_rate": 5.611728743915199e-06, + "loss": 0.5804, + "step": 16241 + }, + { + "epoch": 0.48, + "learning_rate": 5.611256547124628e-06, + "loss": 0.6709, + "step": 16242 + }, + { + "epoch": 0.48, + "learning_rate": 5.610784344799609e-06, + "loss": 0.6424, + "step": 16243 + }, + { + "epoch": 0.48, + "learning_rate": 5.610312136944417e-06, + "loss": 0.7856, + "step": 16244 + }, + { + "epoch": 0.48, + "learning_rate": 5.609839923563326e-06, + "loss": 0.5389, + "step": 16245 + }, + { + "epoch": 0.48, + "learning_rate": 5.609367704660614e-06, + "loss": 0.7277, + "step": 16246 + }, + { + "epoch": 0.48, + "learning_rate": 5.608895480240556e-06, + "loss": 0.5369, + "step": 16247 + }, + { + "epoch": 0.48, + "learning_rate": 5.6084232503074245e-06, + "loss": 0.5949, + "step": 16248 + }, + { + "epoch": 0.48, + "learning_rate": 5.607951014865501e-06, + "loss": 0.4254, + "step": 16249 + }, + { + "epoch": 0.48, + "learning_rate": 5.607478773919055e-06, + "loss": 0.8579, + "step": 16250 + }, + { + "epoch": 0.48, + "learning_rate": 5.607006527472367e-06, + "loss": 0.7095, + "step": 16251 + }, + { + "epoch": 0.48, + "learning_rate": 5.60653427552971e-06, + "loss": 0.8695, + "step": 16252 + }, + { + "epoch": 0.48, + "learning_rate": 5.60606201809536e-06, + "loss": 0.4788, + "step": 16253 + }, + { + "epoch": 0.48, + "learning_rate": 5.605589755173596e-06, + "loss": 0.7642, + "step": 16254 + }, + { + "epoch": 0.48, + "learning_rate": 5.605117486768691e-06, + "loss": 0.8212, + "step": 16255 + }, + { + "epoch": 0.48, + "learning_rate": 5.604645212884923e-06, + "loss": 0.7931, + "step": 16256 + }, + { + "epoch": 0.48, + "learning_rate": 5.6041729335265636e-06, + "loss": 0.7226, + "step": 16257 + }, + { + "epoch": 0.48, + "learning_rate": 5.603700648697894e-06, + "loss": 0.6792, + "step": 16258 + }, + { + "epoch": 0.48, + "learning_rate": 5.60322835840319e-06, + "loss": 0.7413, + "step": 16259 + }, + { + "epoch": 0.48, + "learning_rate": 5.602756062646726e-06, + "loss": 0.4478, + "step": 16260 + }, + { + "epoch": 0.48, + "learning_rate": 5.6022837614327775e-06, + "loss": 0.8383, + "step": 16261 + }, + { + "epoch": 0.48, + "learning_rate": 5.601811454765621e-06, + "loss": 0.7141, + "step": 16262 + }, + { + "epoch": 0.48, + "learning_rate": 5.601339142649535e-06, + "loss": 0.7314, + "step": 16263 + }, + { + "epoch": 0.48, + "learning_rate": 5.600866825088796e-06, + "loss": 0.8086, + "step": 16264 + }, + { + "epoch": 0.48, + "learning_rate": 5.600394502087677e-06, + "loss": 0.6225, + "step": 16265 + }, + { + "epoch": 0.48, + "learning_rate": 5.599922173650458e-06, + "loss": 0.9323, + "step": 16266 + }, + { + "epoch": 0.48, + "learning_rate": 5.5994498397814135e-06, + "loss": 1.0472, + "step": 16267 + }, + { + "epoch": 0.48, + "learning_rate": 5.5989775004848215e-06, + "loss": 0.9241, + "step": 16268 + }, + { + "epoch": 0.48, + "learning_rate": 5.598505155764957e-06, + "loss": 0.6895, + "step": 16269 + }, + { + "epoch": 0.48, + "learning_rate": 5.598032805626099e-06, + "loss": 0.6289, + "step": 16270 + }, + { + "epoch": 0.48, + "learning_rate": 5.597560450072524e-06, + "loss": 0.9405, + "step": 16271 + }, + { + "epoch": 0.48, + "learning_rate": 5.5970880891085045e-06, + "loss": 0.5332, + "step": 16272 + }, + { + "epoch": 0.48, + "learning_rate": 5.596615722738323e-06, + "loss": 0.783, + "step": 16273 + }, + { + "epoch": 0.48, + "learning_rate": 5.596143350966253e-06, + "loss": 0.5901, + "step": 16274 + }, + { + "epoch": 0.48, + "learning_rate": 5.5956709737965745e-06, + "loss": 0.6806, + "step": 16275 + }, + { + "epoch": 0.48, + "learning_rate": 5.595198591233562e-06, + "loss": 0.7686, + "step": 16276 + }, + { + "epoch": 0.48, + "learning_rate": 5.5947262032814905e-06, + "loss": 0.9039, + "step": 16277 + }, + { + "epoch": 0.48, + "learning_rate": 5.594253809944642e-06, + "loss": 0.8006, + "step": 16278 + }, + { + "epoch": 0.48, + "learning_rate": 5.593781411227291e-06, + "loss": 0.7984, + "step": 16279 + }, + { + "epoch": 0.48, + "learning_rate": 5.593309007133716e-06, + "loss": 0.9057, + "step": 16280 + }, + { + "epoch": 0.48, + "learning_rate": 5.592836597668192e-06, + "loss": 0.6573, + "step": 16281 + }, + { + "epoch": 0.48, + "learning_rate": 5.592364182834998e-06, + "loss": 0.866, + "step": 16282 + }, + { + "epoch": 0.48, + "learning_rate": 5.5918917626384114e-06, + "loss": 0.6381, + "step": 16283 + }, + { + "epoch": 0.48, + "learning_rate": 5.591419337082708e-06, + "loss": 0.5655, + "step": 16284 + }, + { + "epoch": 0.48, + "learning_rate": 5.590946906172168e-06, + "loss": 0.9397, + "step": 16285 + }, + { + "epoch": 0.48, + "learning_rate": 5.590474469911067e-06, + "loss": 0.7921, + "step": 16286 + }, + { + "epoch": 0.48, + "learning_rate": 5.590002028303681e-06, + "loss": 0.7323, + "step": 16287 + }, + { + "epoch": 0.48, + "learning_rate": 5.58952958135429e-06, + "loss": 0.5055, + "step": 16288 + }, + { + "epoch": 0.48, + "learning_rate": 5.5890571290671725e-06, + "loss": 0.6946, + "step": 16289 + }, + { + "epoch": 0.48, + "learning_rate": 5.588584671446604e-06, + "loss": 0.6337, + "step": 16290 + }, + { + "epoch": 0.48, + "learning_rate": 5.588112208496863e-06, + "loss": 0.5685, + "step": 16291 + }, + { + "epoch": 0.48, + "learning_rate": 5.587639740222226e-06, + "loss": 0.7947, + "step": 16292 + }, + { + "epoch": 0.48, + "learning_rate": 5.587167266626974e-06, + "loss": 0.88, + "step": 16293 + }, + { + "epoch": 0.48, + "learning_rate": 5.586694787715382e-06, + "loss": 0.6247, + "step": 16294 + }, + { + "epoch": 0.48, + "learning_rate": 5.58622230349173e-06, + "loss": 0.6202, + "step": 16295 + }, + { + "epoch": 0.48, + "learning_rate": 5.585749813960294e-06, + "loss": 0.6579, + "step": 16296 + }, + { + "epoch": 0.48, + "learning_rate": 5.585277319125352e-06, + "loss": 0.8055, + "step": 16297 + }, + { + "epoch": 0.48, + "learning_rate": 5.584804818991183e-06, + "loss": 0.7718, + "step": 16298 + }, + { + "epoch": 0.48, + "learning_rate": 5.584332313562066e-06, + "loss": 0.675, + "step": 16299 + }, + { + "epoch": 0.48, + "learning_rate": 5.583859802842278e-06, + "loss": 0.531, + "step": 16300 + }, + { + "epoch": 0.48, + "learning_rate": 5.583387286836098e-06, + "loss": 0.6962, + "step": 16301 + }, + { + "epoch": 0.48, + "learning_rate": 5.582914765547803e-06, + "loss": 0.722, + "step": 16302 + }, + { + "epoch": 0.48, + "learning_rate": 5.5824422389816725e-06, + "loss": 0.6076, + "step": 16303 + }, + { + "epoch": 0.48, + "learning_rate": 5.581969707141984e-06, + "loss": 0.4526, + "step": 16304 + }, + { + "epoch": 0.48, + "learning_rate": 5.581497170033017e-06, + "loss": 0.6818, + "step": 16305 + }, + { + "epoch": 0.48, + "learning_rate": 5.5810246276590485e-06, + "loss": 0.7592, + "step": 16306 + }, + { + "epoch": 0.48, + "learning_rate": 5.5805520800243575e-06, + "loss": 0.7147, + "step": 16307 + }, + { + "epoch": 0.48, + "learning_rate": 5.580079527133223e-06, + "loss": 0.7796, + "step": 16308 + }, + { + "epoch": 0.48, + "learning_rate": 5.579606968989924e-06, + "loss": 0.6955, + "step": 16309 + }, + { + "epoch": 0.48, + "learning_rate": 5.579134405598737e-06, + "loss": 0.8013, + "step": 16310 + }, + { + "epoch": 0.48, + "learning_rate": 5.578661836963944e-06, + "loss": 0.4907, + "step": 16311 + }, + { + "epoch": 0.48, + "learning_rate": 5.57818926308982e-06, + "loss": 0.8189, + "step": 16312 + }, + { + "epoch": 0.48, + "learning_rate": 5.577716683980648e-06, + "loss": 0.4931, + "step": 16313 + }, + { + "epoch": 0.48, + "learning_rate": 5.577244099640703e-06, + "loss": 0.9511, + "step": 16314 + }, + { + "epoch": 0.48, + "learning_rate": 5.576771510074266e-06, + "loss": 0.6238, + "step": 16315 + }, + { + "epoch": 0.48, + "learning_rate": 5.576298915285615e-06, + "loss": 0.7575, + "step": 16316 + }, + { + "epoch": 0.48, + "learning_rate": 5.5758263152790295e-06, + "loss": 0.6098, + "step": 16317 + }, + { + "epoch": 0.48, + "learning_rate": 5.575353710058788e-06, + "loss": 0.6494, + "step": 16318 + }, + { + "epoch": 0.48, + "learning_rate": 5.574881099629172e-06, + "loss": 0.6068, + "step": 16319 + }, + { + "epoch": 0.48, + "learning_rate": 5.5744084839944555e-06, + "loss": 0.6397, + "step": 16320 + }, + { + "epoch": 0.48, + "learning_rate": 5.573935863158923e-06, + "loss": 0.9125, + "step": 16321 + }, + { + "epoch": 0.48, + "learning_rate": 5.57346323712685e-06, + "loss": 0.6744, + "step": 16322 + }, + { + "epoch": 0.48, + "learning_rate": 5.572990605902518e-06, + "loss": 0.8102, + "step": 16323 + }, + { + "epoch": 0.48, + "learning_rate": 5.572517969490207e-06, + "loss": 0.7277, + "step": 16324 + }, + { + "epoch": 0.48, + "learning_rate": 5.572045327894193e-06, + "loss": 0.5951, + "step": 16325 + }, + { + "epoch": 0.48, + "learning_rate": 5.571572681118756e-06, + "loss": 0.7122, + "step": 16326 + }, + { + "epoch": 0.48, + "learning_rate": 5.571100029168178e-06, + "loss": 1.0212, + "step": 16327 + }, + { + "epoch": 0.48, + "learning_rate": 5.570627372046739e-06, + "loss": 0.8984, + "step": 16328 + }, + { + "epoch": 0.48, + "learning_rate": 5.570154709758715e-06, + "loss": 0.9566, + "step": 16329 + }, + { + "epoch": 0.48, + "learning_rate": 5.569682042308386e-06, + "loss": 0.5816, + "step": 16330 + }, + { + "epoch": 0.48, + "learning_rate": 5.569209369700035e-06, + "loss": 0.569, + "step": 16331 + }, + { + "epoch": 0.48, + "learning_rate": 5.568736691937938e-06, + "loss": 0.6998, + "step": 16332 + }, + { + "epoch": 0.48, + "learning_rate": 5.568264009026378e-06, + "loss": 0.8157, + "step": 16333 + }, + { + "epoch": 0.48, + "learning_rate": 5.567791320969632e-06, + "loss": 0.7244, + "step": 16334 + }, + { + "epoch": 0.48, + "learning_rate": 5.567318627771982e-06, + "loss": 0.6904, + "step": 16335 + }, + { + "epoch": 0.48, + "learning_rate": 5.566845929437705e-06, + "loss": 0.7124, + "step": 16336 + }, + { + "epoch": 0.48, + "learning_rate": 5.566373225971085e-06, + "loss": 0.6263, + "step": 16337 + }, + { + "epoch": 0.48, + "learning_rate": 5.565900517376398e-06, + "loss": 0.7655, + "step": 16338 + }, + { + "epoch": 0.48, + "learning_rate": 5.565427803657927e-06, + "loss": 0.7136, + "step": 16339 + }, + { + "epoch": 0.48, + "learning_rate": 5.564955084819949e-06, + "loss": 0.7432, + "step": 16340 + }, + { + "epoch": 0.48, + "learning_rate": 5.564482360866748e-06, + "loss": 0.6027, + "step": 16341 + }, + { + "epoch": 0.48, + "learning_rate": 5.5640096318026005e-06, + "loss": 0.7421, + "step": 16342 + }, + { + "epoch": 0.48, + "learning_rate": 5.56353689763179e-06, + "loss": 0.7992, + "step": 16343 + }, + { + "epoch": 0.48, + "learning_rate": 5.563064158358593e-06, + "loss": 0.8298, + "step": 16344 + }, + { + "epoch": 0.48, + "learning_rate": 5.5625914139872914e-06, + "loss": 0.8082, + "step": 16345 + }, + { + "epoch": 0.48, + "learning_rate": 5.562118664522166e-06, + "loss": 0.6996, + "step": 16346 + }, + { + "epoch": 0.48, + "learning_rate": 5.561645909967498e-06, + "loss": 0.5826, + "step": 16347 + }, + { + "epoch": 0.48, + "learning_rate": 5.561173150327567e-06, + "loss": 0.6352, + "step": 16348 + }, + { + "epoch": 0.48, + "learning_rate": 5.560700385606652e-06, + "loss": 0.6975, + "step": 16349 + }, + { + "epoch": 0.48, + "learning_rate": 5.560227615809036e-06, + "loss": 0.8331, + "step": 16350 + }, + { + "epoch": 0.48, + "learning_rate": 5.559754840938996e-06, + "loss": 0.4518, + "step": 16351 + }, + { + "epoch": 0.48, + "learning_rate": 5.559282061000818e-06, + "loss": 0.8323, + "step": 16352 + }, + { + "epoch": 0.48, + "learning_rate": 5.558809275998779e-06, + "loss": 0.641, + "step": 16353 + }, + { + "epoch": 0.48, + "learning_rate": 5.558336485937159e-06, + "loss": 0.8731, + "step": 16354 + }, + { + "epoch": 0.48, + "learning_rate": 5.557863690820242e-06, + "loss": 0.7859, + "step": 16355 + }, + { + "epoch": 0.48, + "learning_rate": 5.5573908906523044e-06, + "loss": 0.8839, + "step": 16356 + }, + { + "epoch": 0.48, + "learning_rate": 5.55691808543763e-06, + "loss": 0.8516, + "step": 16357 + }, + { + "epoch": 0.48, + "learning_rate": 5.556445275180501e-06, + "loss": 0.5843, + "step": 16358 + }, + { + "epoch": 0.48, + "learning_rate": 5.555972459885195e-06, + "loss": 0.6525, + "step": 16359 + }, + { + "epoch": 0.48, + "learning_rate": 5.5554996395559955e-06, + "loss": 0.7988, + "step": 16360 + }, + { + "epoch": 0.48, + "learning_rate": 5.555026814197182e-06, + "loss": 0.6576, + "step": 16361 + }, + { + "epoch": 0.48, + "learning_rate": 5.554553983813036e-06, + "loss": 0.6136, + "step": 16362 + }, + { + "epoch": 0.48, + "learning_rate": 5.5540811484078384e-06, + "loss": 0.5312, + "step": 16363 + }, + { + "epoch": 0.48, + "learning_rate": 5.553608307985871e-06, + "loss": 0.5721, + "step": 16364 + }, + { + "epoch": 0.48, + "learning_rate": 5.5531354625514146e-06, + "loss": 0.6783, + "step": 16365 + }, + { + "epoch": 0.48, + "learning_rate": 5.552662612108749e-06, + "loss": 0.6003, + "step": 16366 + }, + { + "epoch": 0.48, + "learning_rate": 5.552189756662158e-06, + "loss": 0.8627, + "step": 16367 + }, + { + "epoch": 0.48, + "learning_rate": 5.551716896215923e-06, + "loss": 0.9428, + "step": 16368 + }, + { + "epoch": 0.48, + "learning_rate": 5.551244030774323e-06, + "loss": 0.9762, + "step": 16369 + }, + { + "epoch": 0.48, + "learning_rate": 5.550771160341641e-06, + "loss": 0.6914, + "step": 16370 + }, + { + "epoch": 0.48, + "learning_rate": 5.550298284922157e-06, + "loss": 0.7822, + "step": 16371 + }, + { + "epoch": 0.48, + "learning_rate": 5.549825404520155e-06, + "loss": 0.8164, + "step": 16372 + }, + { + "epoch": 0.48, + "learning_rate": 5.5493525191399154e-06, + "loss": 0.657, + "step": 16373 + }, + { + "epoch": 0.48, + "learning_rate": 5.548879628785719e-06, + "loss": 0.8655, + "step": 16374 + }, + { + "epoch": 0.48, + "learning_rate": 5.548406733461849e-06, + "loss": 0.8406, + "step": 16375 + }, + { + "epoch": 0.48, + "learning_rate": 5.547933833172585e-06, + "loss": 0.7503, + "step": 16376 + }, + { + "epoch": 0.48, + "learning_rate": 5.547460927922211e-06, + "loss": 0.7108, + "step": 16377 + }, + { + "epoch": 0.48, + "learning_rate": 5.546988017715007e-06, + "loss": 0.9294, + "step": 16378 + }, + { + "epoch": 0.48, + "learning_rate": 5.546515102555256e-06, + "loss": 0.7429, + "step": 16379 + }, + { + "epoch": 0.48, + "learning_rate": 5.546042182447239e-06, + "loss": 1.1231, + "step": 16380 + }, + { + "epoch": 0.48, + "learning_rate": 5.545569257395238e-06, + "loss": 0.7985, + "step": 16381 + }, + { + "epoch": 0.48, + "learning_rate": 5.545096327403536e-06, + "loss": 0.8818, + "step": 16382 + }, + { + "epoch": 0.48, + "learning_rate": 5.544623392476414e-06, + "loss": 0.9108, + "step": 16383 + }, + { + "epoch": 0.48, + "learning_rate": 5.544150452618154e-06, + "loss": 0.6786, + "step": 16384 + }, + { + "epoch": 0.48, + "learning_rate": 5.543677507833039e-06, + "loss": 0.6813, + "step": 16385 + }, + { + "epoch": 0.48, + "learning_rate": 5.54320455812535e-06, + "loss": 0.8012, + "step": 16386 + }, + { + "epoch": 0.48, + "learning_rate": 5.542731603499371e-06, + "loss": 0.7758, + "step": 16387 + }, + { + "epoch": 0.48, + "learning_rate": 5.542258643959382e-06, + "loss": 0.6998, + "step": 16388 + }, + { + "epoch": 0.48, + "learning_rate": 5.541785679509667e-06, + "loss": 0.7932, + "step": 16389 + }, + { + "epoch": 0.48, + "learning_rate": 5.541312710154506e-06, + "loss": 0.8975, + "step": 16390 + }, + { + "epoch": 0.48, + "learning_rate": 5.540839735898185e-06, + "loss": 1.1608, + "step": 16391 + }, + { + "epoch": 0.48, + "learning_rate": 5.540366756744984e-06, + "loss": 0.883, + "step": 16392 + }, + { + "epoch": 0.48, + "learning_rate": 5.539893772699185e-06, + "loss": 0.6822, + "step": 16393 + }, + { + "epoch": 0.48, + "learning_rate": 5.539420783765072e-06, + "loss": 0.8214, + "step": 16394 + }, + { + "epoch": 0.48, + "learning_rate": 5.538947789946926e-06, + "loss": 0.6012, + "step": 16395 + }, + { + "epoch": 0.48, + "learning_rate": 5.538474791249031e-06, + "loss": 0.8931, + "step": 16396 + }, + { + "epoch": 0.48, + "learning_rate": 5.53800178767567e-06, + "loss": 0.6234, + "step": 16397 + }, + { + "epoch": 0.48, + "learning_rate": 5.537528779231124e-06, + "loss": 0.6122, + "step": 16398 + }, + { + "epoch": 0.48, + "learning_rate": 5.5370557659196764e-06, + "loss": 0.745, + "step": 16399 + }, + { + "epoch": 0.48, + "learning_rate": 5.536582747745612e-06, + "loss": 0.6882, + "step": 16400 + }, + { + "epoch": 0.48, + "learning_rate": 5.536109724713209e-06, + "loss": 0.692, + "step": 16401 + }, + { + "epoch": 0.48, + "learning_rate": 5.535636696826755e-06, + "loss": 0.6292, + "step": 16402 + }, + { + "epoch": 0.48, + "learning_rate": 5.5351636640905295e-06, + "loss": 0.9679, + "step": 16403 + }, + { + "epoch": 0.48, + "learning_rate": 5.534690626508817e-06, + "loss": 0.6302, + "step": 16404 + }, + { + "epoch": 0.48, + "learning_rate": 5.5342175840859e-06, + "loss": 0.5135, + "step": 16405 + }, + { + "epoch": 0.48, + "learning_rate": 5.533744536826062e-06, + "loss": 0.8337, + "step": 16406 + }, + { + "epoch": 0.48, + "learning_rate": 5.533271484733587e-06, + "loss": 0.9526, + "step": 16407 + }, + { + "epoch": 0.48, + "learning_rate": 5.532798427812755e-06, + "loss": 0.7913, + "step": 16408 + }, + { + "epoch": 0.48, + "learning_rate": 5.5323253660678535e-06, + "loss": 0.8429, + "step": 16409 + }, + { + "epoch": 0.48, + "learning_rate": 5.531852299503161e-06, + "loss": 0.7851, + "step": 16410 + }, + { + "epoch": 0.48, + "learning_rate": 5.5313792281229635e-06, + "loss": 0.8767, + "step": 16411 + }, + { + "epoch": 0.48, + "learning_rate": 5.5309061519315455e-06, + "loss": 0.6542, + "step": 16412 + }, + { + "epoch": 0.48, + "learning_rate": 5.5304330709331876e-06, + "loss": 0.6894, + "step": 16413 + }, + { + "epoch": 0.48, + "learning_rate": 5.529959985132175e-06, + "loss": 0.7848, + "step": 16414 + }, + { + "epoch": 0.48, + "learning_rate": 5.52948689453279e-06, + "loss": 0.6461, + "step": 16415 + }, + { + "epoch": 0.48, + "learning_rate": 5.5290137991393154e-06, + "loss": 0.7272, + "step": 16416 + }, + { + "epoch": 0.48, + "learning_rate": 5.528540698956037e-06, + "loss": 0.6374, + "step": 16417 + }, + { + "epoch": 0.48, + "learning_rate": 5.528067593987237e-06, + "loss": 0.7116, + "step": 16418 + }, + { + "epoch": 0.48, + "learning_rate": 5.5275944842372e-06, + "loss": 0.6782, + "step": 16419 + }, + { + "epoch": 0.48, + "learning_rate": 5.5271213697102065e-06, + "loss": 1.0228, + "step": 16420 + }, + { + "epoch": 0.48, + "learning_rate": 5.526648250410544e-06, + "loss": 0.8508, + "step": 16421 + }, + { + "epoch": 0.48, + "learning_rate": 5.526175126342495e-06, + "loss": 0.5805, + "step": 16422 + }, + { + "epoch": 0.48, + "learning_rate": 5.525701997510343e-06, + "loss": 0.7231, + "step": 16423 + }, + { + "epoch": 0.48, + "learning_rate": 5.525228863918371e-06, + "loss": 0.8917, + "step": 16424 + }, + { + "epoch": 0.48, + "learning_rate": 5.524755725570864e-06, + "loss": 0.7124, + "step": 16425 + }, + { + "epoch": 0.48, + "learning_rate": 5.524282582472104e-06, + "loss": 0.6186, + "step": 16426 + }, + { + "epoch": 0.48, + "learning_rate": 5.52380943462638e-06, + "loss": 1.2199, + "step": 16427 + }, + { + "epoch": 0.48, + "learning_rate": 5.5233362820379685e-06, + "loss": 0.7881, + "step": 16428 + }, + { + "epoch": 0.48, + "learning_rate": 5.52286312471116e-06, + "loss": 0.5547, + "step": 16429 + }, + { + "epoch": 0.48, + "learning_rate": 5.522389962650234e-06, + "loss": 0.7883, + "step": 16430 + }, + { + "epoch": 0.48, + "learning_rate": 5.521916795859478e-06, + "loss": 0.9445, + "step": 16431 + }, + { + "epoch": 0.48, + "learning_rate": 5.521443624343175e-06, + "loss": 0.6307, + "step": 16432 + }, + { + "epoch": 0.48, + "learning_rate": 5.520970448105608e-06, + "loss": 0.972, + "step": 16433 + }, + { + "epoch": 0.48, + "learning_rate": 5.5204972671510635e-06, + "loss": 0.6657, + "step": 16434 + }, + { + "epoch": 0.48, + "learning_rate": 5.520024081483823e-06, + "loss": 0.7477, + "step": 16435 + }, + { + "epoch": 0.48, + "learning_rate": 5.519550891108173e-06, + "loss": 0.662, + "step": 16436 + }, + { + "epoch": 0.48, + "learning_rate": 5.519077696028397e-06, + "loss": 0.6801, + "step": 16437 + }, + { + "epoch": 0.48, + "learning_rate": 5.5186044962487806e-06, + "loss": 0.7611, + "step": 16438 + }, + { + "epoch": 0.48, + "learning_rate": 5.518131291773606e-06, + "loss": 0.7122, + "step": 16439 + }, + { + "epoch": 0.48, + "learning_rate": 5.517658082607159e-06, + "loss": 0.7106, + "step": 16440 + }, + { + "epoch": 0.48, + "learning_rate": 5.5171848687537255e-06, + "loss": 0.6995, + "step": 16441 + }, + { + "epoch": 0.48, + "learning_rate": 5.516711650217588e-06, + "loss": 0.7588, + "step": 16442 + }, + { + "epoch": 0.48, + "learning_rate": 5.516238427003031e-06, + "loss": 0.6237, + "step": 16443 + }, + { + "epoch": 0.48, + "learning_rate": 5.515765199114341e-06, + "loss": 0.6913, + "step": 16444 + }, + { + "epoch": 0.48, + "learning_rate": 5.515291966555801e-06, + "loss": 0.5418, + "step": 16445 + }, + { + "epoch": 0.48, + "learning_rate": 5.514818729331698e-06, + "loss": 0.8466, + "step": 16446 + }, + { + "epoch": 0.48, + "learning_rate": 5.514345487446313e-06, + "loss": 0.7447, + "step": 16447 + }, + { + "epoch": 0.48, + "learning_rate": 5.513872240903935e-06, + "loss": 0.459, + "step": 16448 + }, + { + "epoch": 0.48, + "learning_rate": 5.5133989897088455e-06, + "loss": 0.5958, + "step": 16449 + }, + { + "epoch": 0.48, + "learning_rate": 5.512925733865331e-06, + "loss": 0.6671, + "step": 16450 + }, + { + "epoch": 0.48, + "learning_rate": 5.512452473377676e-06, + "loss": 0.7481, + "step": 16451 + }, + { + "epoch": 0.48, + "learning_rate": 5.511979208250167e-06, + "loss": 0.8693, + "step": 16452 + }, + { + "epoch": 0.48, + "learning_rate": 5.511505938487087e-06, + "loss": 0.7816, + "step": 16453 + }, + { + "epoch": 0.48, + "learning_rate": 5.5110326640927215e-06, + "loss": 0.6456, + "step": 16454 + }, + { + "epoch": 0.48, + "learning_rate": 5.510559385071357e-06, + "loss": 0.754, + "step": 16455 + }, + { + "epoch": 0.48, + "learning_rate": 5.510086101427277e-06, + "loss": 0.5794, + "step": 16456 + }, + { + "epoch": 0.48, + "learning_rate": 5.509612813164768e-06, + "loss": 0.8942, + "step": 16457 + }, + { + "epoch": 0.48, + "learning_rate": 5.5091395202881146e-06, + "loss": 0.6163, + "step": 16458 + }, + { + "epoch": 0.48, + "learning_rate": 5.508666222801601e-06, + "loss": 0.7751, + "step": 16459 + }, + { + "epoch": 0.48, + "learning_rate": 5.508192920709515e-06, + "loss": 0.5734, + "step": 16460 + }, + { + "epoch": 0.48, + "learning_rate": 5.50771961401614e-06, + "loss": 0.8985, + "step": 16461 + }, + { + "epoch": 0.48, + "learning_rate": 5.507246302725764e-06, + "loss": 0.7292, + "step": 16462 + }, + { + "epoch": 0.48, + "learning_rate": 5.506772986842669e-06, + "loss": 0.4647, + "step": 16463 + }, + { + "epoch": 0.48, + "learning_rate": 5.506299666371142e-06, + "loss": 0.8362, + "step": 16464 + }, + { + "epoch": 0.48, + "learning_rate": 5.50582634131547e-06, + "loss": 0.7649, + "step": 16465 + }, + { + "epoch": 0.48, + "learning_rate": 5.505353011679936e-06, + "loss": 0.6181, + "step": 16466 + }, + { + "epoch": 0.48, + "learning_rate": 5.504879677468827e-06, + "loss": 0.8312, + "step": 16467 + }, + { + "epoch": 0.48, + "learning_rate": 5.50440633868643e-06, + "loss": 0.8606, + "step": 16468 + }, + { + "epoch": 0.48, + "learning_rate": 5.503932995337027e-06, + "loss": 0.5373, + "step": 16469 + }, + { + "epoch": 0.48, + "learning_rate": 5.503459647424907e-06, + "loss": 0.827, + "step": 16470 + }, + { + "epoch": 0.48, + "learning_rate": 5.502986294954355e-06, + "loss": 0.9066, + "step": 16471 + }, + { + "epoch": 0.48, + "learning_rate": 5.502512937929656e-06, + "loss": 0.749, + "step": 16472 + }, + { + "epoch": 0.48, + "learning_rate": 5.502039576355097e-06, + "loss": 0.7767, + "step": 16473 + }, + { + "epoch": 0.48, + "learning_rate": 5.501566210234962e-06, + "loss": 0.9647, + "step": 16474 + }, + { + "epoch": 0.48, + "learning_rate": 5.50109283957354e-06, + "loss": 0.6667, + "step": 16475 + }, + { + "epoch": 0.48, + "learning_rate": 5.500619464375115e-06, + "loss": 0.9065, + "step": 16476 + }, + { + "epoch": 0.48, + "learning_rate": 5.500146084643974e-06, + "loss": 0.7396, + "step": 16477 + }, + { + "epoch": 0.48, + "learning_rate": 5.499672700384402e-06, + "loss": 0.8785, + "step": 16478 + }, + { + "epoch": 0.48, + "learning_rate": 5.499199311600685e-06, + "loss": 0.8, + "step": 16479 + }, + { + "epoch": 0.48, + "learning_rate": 5.49872591829711e-06, + "loss": 0.8649, + "step": 16480 + }, + { + "epoch": 0.48, + "learning_rate": 5.498252520477964e-06, + "loss": 0.6702, + "step": 16481 + }, + { + "epoch": 0.48, + "learning_rate": 5.497779118147532e-06, + "loss": 0.6208, + "step": 16482 + }, + { + "epoch": 0.48, + "learning_rate": 5.4973057113100995e-06, + "loss": 0.7469, + "step": 16483 + }, + { + "epoch": 0.48, + "learning_rate": 5.496832299969954e-06, + "loss": 0.6699, + "step": 16484 + }, + { + "epoch": 0.48, + "learning_rate": 5.496358884131383e-06, + "loss": 0.6167, + "step": 16485 + }, + { + "epoch": 0.48, + "learning_rate": 5.495885463798671e-06, + "loss": 0.4123, + "step": 16486 + }, + { + "epoch": 0.48, + "learning_rate": 5.4954120389761044e-06, + "loss": 0.6944, + "step": 16487 + }, + { + "epoch": 0.48, + "learning_rate": 5.494938609667971e-06, + "loss": 0.8997, + "step": 16488 + }, + { + "epoch": 0.48, + "learning_rate": 5.494465175878556e-06, + "loss": 0.6871, + "step": 16489 + }, + { + "epoch": 0.48, + "learning_rate": 5.4939917376121476e-06, + "loss": 0.6534, + "step": 16490 + }, + { + "epoch": 0.48, + "learning_rate": 5.4935182948730314e-06, + "loss": 0.4341, + "step": 16491 + }, + { + "epoch": 0.48, + "learning_rate": 5.493044847665494e-06, + "loss": 0.6998, + "step": 16492 + }, + { + "epoch": 0.48, + "learning_rate": 5.492571395993822e-06, + "loss": 0.625, + "step": 16493 + }, + { + "epoch": 0.48, + "learning_rate": 5.492097939862302e-06, + "loss": 0.6483, + "step": 16494 + }, + { + "epoch": 0.48, + "learning_rate": 5.491624479275222e-06, + "loss": 0.8809, + "step": 16495 + }, + { + "epoch": 0.48, + "learning_rate": 5.491151014236867e-06, + "loss": 0.889, + "step": 16496 + }, + { + "epoch": 0.48, + "learning_rate": 5.490677544751526e-06, + "loss": 0.7251, + "step": 16497 + }, + { + "epoch": 0.48, + "learning_rate": 5.490204070823484e-06, + "loss": 0.4814, + "step": 16498 + }, + { + "epoch": 0.48, + "learning_rate": 5.489730592457028e-06, + "loss": 0.6622, + "step": 16499 + }, + { + "epoch": 0.48, + "learning_rate": 5.4892571096564466e-06, + "loss": 0.9015, + "step": 16500 + }, + { + "epoch": 0.48, + "learning_rate": 5.4887836224260245e-06, + "loss": 0.7099, + "step": 16501 + }, + { + "epoch": 0.48, + "learning_rate": 5.488310130770053e-06, + "loss": 0.8706, + "step": 16502 + }, + { + "epoch": 0.48, + "learning_rate": 5.4878366346928136e-06, + "loss": 0.7802, + "step": 16503 + }, + { + "epoch": 0.48, + "learning_rate": 5.4873631341985975e-06, + "loss": 0.7846, + "step": 16504 + }, + { + "epoch": 0.48, + "learning_rate": 5.48688962929169e-06, + "loss": 0.8552, + "step": 16505 + }, + { + "epoch": 0.48, + "learning_rate": 5.4864161199763785e-06, + "loss": 0.8822, + "step": 16506 + }, + { + "epoch": 0.48, + "learning_rate": 5.485942606256951e-06, + "loss": 0.7915, + "step": 16507 + }, + { + "epoch": 0.48, + "learning_rate": 5.4854690881376944e-06, + "loss": 0.9287, + "step": 16508 + }, + { + "epoch": 0.49, + "learning_rate": 5.484995565622895e-06, + "loss": 0.48, + "step": 16509 + }, + { + "epoch": 0.49, + "learning_rate": 5.484522038716842e-06, + "loss": 0.6972, + "step": 16510 + }, + { + "epoch": 0.49, + "learning_rate": 5.4840485074238225e-06, + "loss": 0.8751, + "step": 16511 + }, + { + "epoch": 0.49, + "learning_rate": 5.483574971748123e-06, + "loss": 0.6533, + "step": 16512 + }, + { + "epoch": 0.49, + "learning_rate": 5.4831014316940316e-06, + "loss": 0.6506, + "step": 16513 + }, + { + "epoch": 0.49, + "learning_rate": 5.4826278872658335e-06, + "loss": 0.8966, + "step": 16514 + }, + { + "epoch": 0.49, + "learning_rate": 5.482154338467821e-06, + "loss": 0.7574, + "step": 16515 + }, + { + "epoch": 0.49, + "learning_rate": 5.481680785304278e-06, + "loss": 0.6657, + "step": 16516 + }, + { + "epoch": 0.49, + "learning_rate": 5.481207227779495e-06, + "loss": 0.5095, + "step": 16517 + }, + { + "epoch": 0.49, + "learning_rate": 5.480733665897755e-06, + "loss": 0.8472, + "step": 16518 + }, + { + "epoch": 0.49, + "learning_rate": 5.4802600996633505e-06, + "loss": 0.7458, + "step": 16519 + }, + { + "epoch": 0.49, + "learning_rate": 5.479786529080567e-06, + "loss": 0.8022, + "step": 16520 + }, + { + "epoch": 0.49, + "learning_rate": 5.479312954153694e-06, + "loss": 0.8309, + "step": 16521 + }, + { + "epoch": 0.49, + "learning_rate": 5.478839374887017e-06, + "loss": 0.8914, + "step": 16522 + }, + { + "epoch": 0.49, + "learning_rate": 5.478365791284827e-06, + "loss": 0.7965, + "step": 16523 + }, + { + "epoch": 0.49, + "learning_rate": 5.477892203351408e-06, + "loss": 0.823, + "step": 16524 + }, + { + "epoch": 0.49, + "learning_rate": 5.477418611091051e-06, + "loss": 0.6156, + "step": 16525 + }, + { + "epoch": 0.49, + "learning_rate": 5.476945014508042e-06, + "loss": 0.6307, + "step": 16526 + }, + { + "epoch": 0.49, + "learning_rate": 5.476471413606671e-06, + "loss": 0.7764, + "step": 16527 + }, + { + "epoch": 0.49, + "learning_rate": 5.475997808391223e-06, + "loss": 0.7286, + "step": 16528 + }, + { + "epoch": 0.49, + "learning_rate": 5.47552419886599e-06, + "loss": 0.7611, + "step": 16529 + }, + { + "epoch": 0.49, + "learning_rate": 5.475050585035258e-06, + "loss": 0.7617, + "step": 16530 + }, + { + "epoch": 0.49, + "learning_rate": 5.4745769669033155e-06, + "loss": 0.6842, + "step": 16531 + }, + { + "epoch": 0.49, + "learning_rate": 5.47410334447445e-06, + "loss": 0.7001, + "step": 16532 + }, + { + "epoch": 0.49, + "learning_rate": 5.473629717752952e-06, + "loss": 0.8059, + "step": 16533 + }, + { + "epoch": 0.49, + "learning_rate": 5.473156086743108e-06, + "loss": 0.6784, + "step": 16534 + }, + { + "epoch": 0.49, + "learning_rate": 5.472682451449206e-06, + "loss": 0.7437, + "step": 16535 + }, + { + "epoch": 0.49, + "learning_rate": 5.472208811875535e-06, + "loss": 0.7658, + "step": 16536 + }, + { + "epoch": 0.49, + "learning_rate": 5.471735168026385e-06, + "loss": 0.6666, + "step": 16537 + }, + { + "epoch": 0.49, + "learning_rate": 5.471261519906043e-06, + "loss": 0.7547, + "step": 16538 + }, + { + "epoch": 0.49, + "learning_rate": 5.470787867518796e-06, + "loss": 0.9531, + "step": 16539 + }, + { + "epoch": 0.49, + "learning_rate": 5.470314210868935e-06, + "loss": 0.4894, + "step": 16540 + }, + { + "epoch": 0.49, + "learning_rate": 5.469840549960749e-06, + "loss": 0.7975, + "step": 16541 + }, + { + "epoch": 0.49, + "learning_rate": 5.469366884798524e-06, + "loss": 0.572, + "step": 16542 + }, + { + "epoch": 0.49, + "learning_rate": 5.46889321538655e-06, + "loss": 0.4676, + "step": 16543 + }, + { + "epoch": 0.49, + "learning_rate": 5.468419541729116e-06, + "loss": 0.7164, + "step": 16544 + }, + { + "epoch": 0.49, + "learning_rate": 5.4679458638305105e-06, + "loss": 0.8073, + "step": 16545 + }, + { + "epoch": 0.49, + "learning_rate": 5.467472181695023e-06, + "loss": 0.8174, + "step": 16546 + }, + { + "epoch": 0.49, + "learning_rate": 5.466998495326941e-06, + "loss": 0.691, + "step": 16547 + }, + { + "epoch": 0.49, + "learning_rate": 5.466524804730552e-06, + "loss": 0.4634, + "step": 16548 + }, + { + "epoch": 0.49, + "learning_rate": 5.466051109910148e-06, + "loss": 0.8133, + "step": 16549 + }, + { + "epoch": 0.49, + "learning_rate": 5.465577410870018e-06, + "loss": 1.0035, + "step": 16550 + }, + { + "epoch": 0.49, + "learning_rate": 5.46510370761445e-06, + "loss": 0.5976, + "step": 16551 + }, + { + "epoch": 0.49, + "learning_rate": 5.464630000147732e-06, + "loss": 0.6583, + "step": 16552 + }, + { + "epoch": 0.49, + "learning_rate": 5.464156288474152e-06, + "loss": 0.5533, + "step": 16553 + }, + { + "epoch": 0.49, + "learning_rate": 5.4636825725980025e-06, + "loss": 0.8153, + "step": 16554 + }, + { + "epoch": 0.49, + "learning_rate": 5.4632088525235705e-06, + "loss": 0.8863, + "step": 16555 + }, + { + "epoch": 0.49, + "learning_rate": 5.462735128255146e-06, + "loss": 0.5689, + "step": 16556 + }, + { + "epoch": 0.49, + "learning_rate": 5.462261399797019e-06, + "loss": 0.613, + "step": 16557 + }, + { + "epoch": 0.49, + "learning_rate": 5.461787667153475e-06, + "loss": 0.6393, + "step": 16558 + }, + { + "epoch": 0.49, + "learning_rate": 5.461313930328807e-06, + "loss": 0.7484, + "step": 16559 + }, + { + "epoch": 0.49, + "learning_rate": 5.460840189327305e-06, + "loss": 0.7069, + "step": 16560 + }, + { + "epoch": 0.49, + "learning_rate": 5.460366444153255e-06, + "loss": 0.8464, + "step": 16561 + }, + { + "epoch": 0.49, + "learning_rate": 5.459892694810948e-06, + "loss": 0.6135, + "step": 16562 + }, + { + "epoch": 0.49, + "learning_rate": 5.4594189413046724e-06, + "loss": 0.6718, + "step": 16563 + }, + { + "epoch": 0.49, + "learning_rate": 5.458945183638721e-06, + "loss": 0.6503, + "step": 16564 + }, + { + "epoch": 0.49, + "learning_rate": 5.45847142181738e-06, + "loss": 0.7605, + "step": 16565 + }, + { + "epoch": 0.49, + "learning_rate": 5.457997655844939e-06, + "loss": 0.909, + "step": 16566 + }, + { + "epoch": 0.49, + "learning_rate": 5.4575238857256895e-06, + "loss": 0.7296, + "step": 16567 + }, + { + "epoch": 0.49, + "learning_rate": 5.457050111463919e-06, + "loss": 0.7415, + "step": 16568 + }, + { + "epoch": 0.49, + "learning_rate": 5.456576333063918e-06, + "loss": 0.8323, + "step": 16569 + }, + { + "epoch": 0.49, + "learning_rate": 5.456102550529978e-06, + "loss": 0.6558, + "step": 16570 + }, + { + "epoch": 0.49, + "learning_rate": 5.455628763866386e-06, + "loss": 0.9346, + "step": 16571 + }, + { + "epoch": 0.49, + "learning_rate": 5.455154973077433e-06, + "loss": 0.681, + "step": 16572 + }, + { + "epoch": 0.49, + "learning_rate": 5.454681178167408e-06, + "loss": 0.6409, + "step": 16573 + }, + { + "epoch": 0.49, + "learning_rate": 5.454207379140603e-06, + "loss": 0.6934, + "step": 16574 + }, + { + "epoch": 0.49, + "learning_rate": 5.453733576001307e-06, + "loss": 0.9472, + "step": 16575 + }, + { + "epoch": 0.49, + "learning_rate": 5.453259768753808e-06, + "loss": 0.8755, + "step": 16576 + }, + { + "epoch": 0.49, + "learning_rate": 5.452785957402398e-06, + "loss": 0.8685, + "step": 16577 + }, + { + "epoch": 0.49, + "learning_rate": 5.452312141951365e-06, + "loss": 0.7197, + "step": 16578 + }, + { + "epoch": 0.49, + "learning_rate": 5.451838322405002e-06, + "loss": 0.7625, + "step": 16579 + }, + { + "epoch": 0.49, + "learning_rate": 5.451364498767596e-06, + "loss": 0.8129, + "step": 16580 + }, + { + "epoch": 0.49, + "learning_rate": 5.4508906710434396e-06, + "loss": 0.6025, + "step": 16581 + }, + { + "epoch": 0.49, + "learning_rate": 5.45041683923682e-06, + "loss": 0.7142, + "step": 16582 + }, + { + "epoch": 0.49, + "learning_rate": 5.4499430033520315e-06, + "loss": 0.9588, + "step": 16583 + }, + { + "epoch": 0.49, + "learning_rate": 5.449469163393361e-06, + "loss": 0.8369, + "step": 16584 + }, + { + "epoch": 0.49, + "learning_rate": 5.4489953193651e-06, + "loss": 0.5216, + "step": 16585 + }, + { + "epoch": 0.49, + "learning_rate": 5.448521471271539e-06, + "loss": 0.6576, + "step": 16586 + }, + { + "epoch": 0.49, + "learning_rate": 5.448047619116969e-06, + "loss": 0.5546, + "step": 16587 + }, + { + "epoch": 0.49, + "learning_rate": 5.447573762905677e-06, + "loss": 0.7697, + "step": 16588 + }, + { + "epoch": 0.49, + "learning_rate": 5.447099902641957e-06, + "loss": 0.8849, + "step": 16589 + }, + { + "epoch": 0.49, + "learning_rate": 5.4466260383300975e-06, + "loss": 1.023, + "step": 16590 + }, + { + "epoch": 0.49, + "learning_rate": 5.4461521699743895e-06, + "loss": 1.0167, + "step": 16591 + }, + { + "epoch": 0.49, + "learning_rate": 5.445678297579122e-06, + "loss": 0.8236, + "step": 16592 + }, + { + "epoch": 0.49, + "learning_rate": 5.445204421148589e-06, + "loss": 0.6936, + "step": 16593 + }, + { + "epoch": 0.49, + "learning_rate": 5.444730540687078e-06, + "loss": 0.64, + "step": 16594 + }, + { + "epoch": 0.49, + "learning_rate": 5.444256656198882e-06, + "loss": 0.651, + "step": 16595 + }, + { + "epoch": 0.49, + "learning_rate": 5.443782767688291e-06, + "loss": 0.7791, + "step": 16596 + }, + { + "epoch": 0.49, + "learning_rate": 5.443308875159593e-06, + "loss": 0.7318, + "step": 16597 + }, + { + "epoch": 0.49, + "learning_rate": 5.442834978617082e-06, + "loss": 0.7859, + "step": 16598 + }, + { + "epoch": 0.49, + "learning_rate": 5.442361078065047e-06, + "loss": 0.7233, + "step": 16599 + }, + { + "epoch": 0.49, + "learning_rate": 5.4418871735077805e-06, + "loss": 0.8649, + "step": 16600 + }, + { + "epoch": 0.49, + "learning_rate": 5.441413264949572e-06, + "loss": 0.9393, + "step": 16601 + }, + { + "epoch": 0.49, + "learning_rate": 5.440939352394712e-06, + "loss": 0.6806, + "step": 16602 + }, + { + "epoch": 0.49, + "learning_rate": 5.440465435847492e-06, + "loss": 0.8169, + "step": 16603 + }, + { + "epoch": 0.49, + "learning_rate": 5.439991515312203e-06, + "loss": 0.6326, + "step": 16604 + }, + { + "epoch": 0.49, + "learning_rate": 5.439517590793136e-06, + "loss": 0.6169, + "step": 16605 + }, + { + "epoch": 0.49, + "learning_rate": 5.439043662294583e-06, + "loss": 0.8108, + "step": 16606 + }, + { + "epoch": 0.49, + "learning_rate": 5.438569729820834e-06, + "loss": 0.6264, + "step": 16607 + }, + { + "epoch": 0.49, + "learning_rate": 5.438095793376179e-06, + "loss": 0.8358, + "step": 16608 + }, + { + "epoch": 0.49, + "learning_rate": 5.437621852964911e-06, + "loss": 0.3965, + "step": 16609 + }, + { + "epoch": 0.49, + "learning_rate": 5.43714790859132e-06, + "loss": 0.7714, + "step": 16610 + }, + { + "epoch": 0.49, + "learning_rate": 5.436673960259697e-06, + "loss": 0.466, + "step": 16611 + }, + { + "epoch": 0.49, + "learning_rate": 5.436200007974334e-06, + "loss": 0.7218, + "step": 16612 + }, + { + "epoch": 0.49, + "learning_rate": 5.4357260517395225e-06, + "loss": 0.763, + "step": 16613 + }, + { + "epoch": 0.49, + "learning_rate": 5.435252091559553e-06, + "loss": 0.6109, + "step": 16614 + }, + { + "epoch": 0.49, + "learning_rate": 5.434778127438718e-06, + "loss": 0.792, + "step": 16615 + }, + { + "epoch": 0.49, + "learning_rate": 5.434304159381307e-06, + "loss": 0.5235, + "step": 16616 + }, + { + "epoch": 0.49, + "learning_rate": 5.433830187391613e-06, + "loss": 0.6746, + "step": 16617 + }, + { + "epoch": 0.49, + "learning_rate": 5.433356211473927e-06, + "loss": 0.5952, + "step": 16618 + }, + { + "epoch": 0.49, + "learning_rate": 5.43288223163254e-06, + "loss": 0.5789, + "step": 16619 + }, + { + "epoch": 0.49, + "learning_rate": 5.432408247871744e-06, + "loss": 0.8622, + "step": 16620 + }, + { + "epoch": 0.49, + "learning_rate": 5.431934260195831e-06, + "loss": 0.6568, + "step": 16621 + }, + { + "epoch": 0.49, + "learning_rate": 5.431460268609092e-06, + "loss": 0.805, + "step": 16622 + }, + { + "epoch": 0.49, + "learning_rate": 5.430986273115818e-06, + "loss": 0.6676, + "step": 16623 + }, + { + "epoch": 0.49, + "learning_rate": 5.430512273720302e-06, + "loss": 0.7316, + "step": 16624 + }, + { + "epoch": 0.49, + "learning_rate": 5.430038270426836e-06, + "loss": 0.8806, + "step": 16625 + }, + { + "epoch": 0.49, + "learning_rate": 5.42956426323971e-06, + "loss": 0.8471, + "step": 16626 + }, + { + "epoch": 0.49, + "learning_rate": 5.429090252163216e-06, + "loss": 0.5583, + "step": 16627 + }, + { + "epoch": 0.49, + "learning_rate": 5.428616237201647e-06, + "loss": 0.518, + "step": 16628 + }, + { + "epoch": 0.49, + "learning_rate": 5.428142218359294e-06, + "loss": 0.669, + "step": 16629 + }, + { + "epoch": 0.49, + "learning_rate": 5.427668195640449e-06, + "loss": 0.7281, + "step": 16630 + }, + { + "epoch": 0.49, + "learning_rate": 5.427194169049404e-06, + "loss": 0.3899, + "step": 16631 + }, + { + "epoch": 0.49, + "learning_rate": 5.426720138590449e-06, + "loss": 0.7022, + "step": 16632 + }, + { + "epoch": 0.49, + "learning_rate": 5.4262461042678794e-06, + "loss": 1.0635, + "step": 16633 + }, + { + "epoch": 0.49, + "learning_rate": 5.425772066085986e-06, + "loss": 0.494, + "step": 16634 + }, + { + "epoch": 0.49, + "learning_rate": 5.42529802404906e-06, + "loss": 0.8207, + "step": 16635 + }, + { + "epoch": 0.49, + "learning_rate": 5.424823978161394e-06, + "loss": 0.8527, + "step": 16636 + }, + { + "epoch": 0.49, + "learning_rate": 5.4243499284272804e-06, + "loss": 0.6739, + "step": 16637 + }, + { + "epoch": 0.49, + "learning_rate": 5.423875874851011e-06, + "loss": 0.6523, + "step": 16638 + }, + { + "epoch": 0.49, + "learning_rate": 5.423401817436877e-06, + "loss": 0.7636, + "step": 16639 + }, + { + "epoch": 0.49, + "learning_rate": 5.4229277561891735e-06, + "loss": 0.9061, + "step": 16640 + }, + { + "epoch": 0.49, + "learning_rate": 5.42245369111219e-06, + "loss": 0.7331, + "step": 16641 + }, + { + "epoch": 0.49, + "learning_rate": 5.421979622210219e-06, + "loss": 0.8543, + "step": 16642 + }, + { + "epoch": 0.49, + "learning_rate": 5.421505549487555e-06, + "loss": 0.7475, + "step": 16643 + }, + { + "epoch": 0.49, + "learning_rate": 5.421031472948487e-06, + "loss": 1.0106, + "step": 16644 + }, + { + "epoch": 0.49, + "learning_rate": 5.4205573925973105e-06, + "loss": 0.6565, + "step": 16645 + }, + { + "epoch": 0.49, + "learning_rate": 5.4200833084383175e-06, + "loss": 0.5662, + "step": 16646 + }, + { + "epoch": 0.49, + "learning_rate": 5.4196092204757985e-06, + "loss": 0.8596, + "step": 16647 + }, + { + "epoch": 0.49, + "learning_rate": 5.419135128714047e-06, + "loss": 0.5894, + "step": 16648 + }, + { + "epoch": 0.49, + "learning_rate": 5.418661033157357e-06, + "loss": 0.5693, + "step": 16649 + }, + { + "epoch": 0.49, + "learning_rate": 5.418186933810018e-06, + "loss": 0.7883, + "step": 16650 + }, + { + "epoch": 0.49, + "learning_rate": 5.417712830676324e-06, + "loss": 0.7841, + "step": 16651 + }, + { + "epoch": 0.49, + "learning_rate": 5.41723872376057e-06, + "loss": 0.9309, + "step": 16652 + }, + { + "epoch": 0.49, + "learning_rate": 5.416764613067045e-06, + "loss": 0.8541, + "step": 16653 + }, + { + "epoch": 0.49, + "learning_rate": 5.416290498600044e-06, + "loss": 0.7235, + "step": 16654 + }, + { + "epoch": 0.49, + "learning_rate": 5.4158163803638595e-06, + "loss": 0.6955, + "step": 16655 + }, + { + "epoch": 0.49, + "learning_rate": 5.415342258362783e-06, + "loss": 0.7008, + "step": 16656 + }, + { + "epoch": 0.49, + "learning_rate": 5.4148681326011076e-06, + "loss": 0.8854, + "step": 16657 + }, + { + "epoch": 0.49, + "learning_rate": 5.4143940030831275e-06, + "loss": 0.826, + "step": 16658 + }, + { + "epoch": 0.49, + "learning_rate": 5.4139198698131355e-06, + "loss": 0.6557, + "step": 16659 + }, + { + "epoch": 0.49, + "learning_rate": 5.413445732795422e-06, + "loss": 0.7667, + "step": 16660 + }, + { + "epoch": 0.49, + "learning_rate": 5.412971592034283e-06, + "loss": 0.6885, + "step": 16661 + }, + { + "epoch": 0.49, + "learning_rate": 5.412497447534009e-06, + "loss": 0.5778, + "step": 16662 + }, + { + "epoch": 0.49, + "learning_rate": 5.412023299298895e-06, + "loss": 0.6906, + "step": 16663 + }, + { + "epoch": 0.49, + "learning_rate": 5.411549147333234e-06, + "loss": 0.8205, + "step": 16664 + }, + { + "epoch": 0.49, + "learning_rate": 5.411074991641318e-06, + "loss": 0.8334, + "step": 16665 + }, + { + "epoch": 0.49, + "learning_rate": 5.410600832227439e-06, + "loss": 0.5769, + "step": 16666 + }, + { + "epoch": 0.49, + "learning_rate": 5.410126669095893e-06, + "loss": 0.4877, + "step": 16667 + }, + { + "epoch": 0.49, + "learning_rate": 5.4096525022509715e-06, + "loss": 0.6665, + "step": 16668 + }, + { + "epoch": 0.49, + "learning_rate": 5.409178331696967e-06, + "loss": 0.8109, + "step": 16669 + }, + { + "epoch": 0.49, + "learning_rate": 5.4087041574381745e-06, + "loss": 0.5017, + "step": 16670 + }, + { + "epoch": 0.49, + "learning_rate": 5.408229979478885e-06, + "loss": 0.804, + "step": 16671 + }, + { + "epoch": 0.49, + "learning_rate": 5.407755797823394e-06, + "loss": 0.7753, + "step": 16672 + }, + { + "epoch": 0.49, + "learning_rate": 5.407281612475995e-06, + "loss": 0.6955, + "step": 16673 + }, + { + "epoch": 0.49, + "learning_rate": 5.406807423440981e-06, + "loss": 0.7629, + "step": 16674 + }, + { + "epoch": 0.49, + "learning_rate": 5.4063332307226435e-06, + "loss": 0.6414, + "step": 16675 + }, + { + "epoch": 0.49, + "learning_rate": 5.4058590343252755e-06, + "loss": 0.618, + "step": 16676 + }, + { + "epoch": 0.49, + "learning_rate": 5.4053848342531745e-06, + "loss": 0.893, + "step": 16677 + }, + { + "epoch": 0.49, + "learning_rate": 5.4049106305106325e-06, + "loss": 0.5854, + "step": 16678 + }, + { + "epoch": 0.49, + "learning_rate": 5.404436423101941e-06, + "loss": 0.764, + "step": 16679 + }, + { + "epoch": 0.49, + "learning_rate": 5.403962212031396e-06, + "loss": 0.7354, + "step": 16680 + }, + { + "epoch": 0.49, + "learning_rate": 5.403487997303288e-06, + "loss": 0.9465, + "step": 16681 + }, + { + "epoch": 0.49, + "learning_rate": 5.403013778921914e-06, + "loss": 0.7368, + "step": 16682 + }, + { + "epoch": 0.49, + "learning_rate": 5.402539556891568e-06, + "loss": 0.7362, + "step": 16683 + }, + { + "epoch": 0.49, + "learning_rate": 5.40206533121654e-06, + "loss": 0.9882, + "step": 16684 + }, + { + "epoch": 0.49, + "learning_rate": 5.401591101901126e-06, + "loss": 0.7996, + "step": 16685 + }, + { + "epoch": 0.49, + "learning_rate": 5.401116868949619e-06, + "loss": 0.9066, + "step": 16686 + }, + { + "epoch": 0.49, + "learning_rate": 5.4006426323663156e-06, + "loss": 0.5428, + "step": 16687 + }, + { + "epoch": 0.49, + "learning_rate": 5.400168392155506e-06, + "loss": 0.7723, + "step": 16688 + }, + { + "epoch": 0.49, + "learning_rate": 5.399694148321485e-06, + "loss": 0.8922, + "step": 16689 + }, + { + "epoch": 0.49, + "learning_rate": 5.399219900868547e-06, + "loss": 0.7387, + "step": 16690 + }, + { + "epoch": 0.49, + "learning_rate": 5.398745649800986e-06, + "loss": 0.5792, + "step": 16691 + }, + { + "epoch": 0.49, + "learning_rate": 5.398271395123097e-06, + "loss": 0.7194, + "step": 16692 + }, + { + "epoch": 0.49, + "learning_rate": 5.3977971368391725e-06, + "loss": 0.8759, + "step": 16693 + }, + { + "epoch": 0.49, + "learning_rate": 5.397322874953506e-06, + "loss": 0.7291, + "step": 16694 + }, + { + "epoch": 0.49, + "learning_rate": 5.396848609470394e-06, + "loss": 0.8663, + "step": 16695 + }, + { + "epoch": 0.49, + "learning_rate": 5.396374340394127e-06, + "loss": 0.5366, + "step": 16696 + }, + { + "epoch": 0.49, + "learning_rate": 5.395900067729003e-06, + "loss": 0.5037, + "step": 16697 + }, + { + "epoch": 0.49, + "learning_rate": 5.395425791479314e-06, + "loss": 0.8061, + "step": 16698 + }, + { + "epoch": 0.49, + "learning_rate": 5.394951511649354e-06, + "loss": 0.786, + "step": 16699 + }, + { + "epoch": 0.49, + "learning_rate": 5.394477228243418e-06, + "loss": 0.6478, + "step": 16700 + }, + { + "epoch": 0.49, + "learning_rate": 5.394002941265801e-06, + "loss": 0.956, + "step": 16701 + }, + { + "epoch": 0.49, + "learning_rate": 5.393528650720796e-06, + "loss": 0.6404, + "step": 16702 + }, + { + "epoch": 0.49, + "learning_rate": 5.393054356612698e-06, + "loss": 0.938, + "step": 16703 + }, + { + "epoch": 0.49, + "learning_rate": 5.392580058945801e-06, + "loss": 0.7068, + "step": 16704 + }, + { + "epoch": 0.49, + "learning_rate": 5.3921057577243996e-06, + "loss": 0.6911, + "step": 16705 + }, + { + "epoch": 0.49, + "learning_rate": 5.391631452952788e-06, + "loss": 0.714, + "step": 16706 + }, + { + "epoch": 0.49, + "learning_rate": 5.391157144635261e-06, + "loss": 0.7351, + "step": 16707 + }, + { + "epoch": 0.49, + "learning_rate": 5.390682832776112e-06, + "loss": 0.5623, + "step": 16708 + }, + { + "epoch": 0.49, + "learning_rate": 5.390208517379637e-06, + "loss": 0.4709, + "step": 16709 + }, + { + "epoch": 0.49, + "learning_rate": 5.389734198450129e-06, + "loss": 0.5825, + "step": 16710 + }, + { + "epoch": 0.49, + "learning_rate": 5.389259875991884e-06, + "loss": 0.7809, + "step": 16711 + }, + { + "epoch": 0.49, + "learning_rate": 5.3887855500091965e-06, + "loss": 0.8366, + "step": 16712 + }, + { + "epoch": 0.49, + "learning_rate": 5.3883112205063616e-06, + "loss": 0.7674, + "step": 16713 + }, + { + "epoch": 0.49, + "learning_rate": 5.3878368874876716e-06, + "loss": 0.7463, + "step": 16714 + }, + { + "epoch": 0.49, + "learning_rate": 5.387362550957423e-06, + "loss": 0.613, + "step": 16715 + }, + { + "epoch": 0.49, + "learning_rate": 5.38688821091991e-06, + "loss": 0.5761, + "step": 16716 + }, + { + "epoch": 0.49, + "learning_rate": 5.3864138673794295e-06, + "loss": 0.5462, + "step": 16717 + }, + { + "epoch": 0.49, + "learning_rate": 5.385939520340274e-06, + "loss": 0.5987, + "step": 16718 + }, + { + "epoch": 0.49, + "learning_rate": 5.3854651698067384e-06, + "loss": 0.7304, + "step": 16719 + }, + { + "epoch": 0.49, + "learning_rate": 5.384990815783116e-06, + "loss": 0.8617, + "step": 16720 + }, + { + "epoch": 0.49, + "learning_rate": 5.384516458273708e-06, + "loss": 0.734, + "step": 16721 + }, + { + "epoch": 0.49, + "learning_rate": 5.3840420972828024e-06, + "loss": 0.7468, + "step": 16722 + }, + { + "epoch": 0.49, + "learning_rate": 5.383567732814697e-06, + "loss": 0.7851, + "step": 16723 + }, + { + "epoch": 0.49, + "learning_rate": 5.383093364873687e-06, + "loss": 0.7964, + "step": 16724 + }, + { + "epoch": 0.49, + "learning_rate": 5.382618993464067e-06, + "loss": 0.7662, + "step": 16725 + }, + { + "epoch": 0.49, + "learning_rate": 5.3821446185901325e-06, + "loss": 0.8965, + "step": 16726 + }, + { + "epoch": 0.49, + "learning_rate": 5.3816702402561785e-06, + "loss": 0.6591, + "step": 16727 + }, + { + "epoch": 0.49, + "learning_rate": 5.381195858466499e-06, + "loss": 0.7954, + "step": 16728 + }, + { + "epoch": 0.49, + "learning_rate": 5.38072147322539e-06, + "loss": 0.7272, + "step": 16729 + }, + { + "epoch": 0.49, + "learning_rate": 5.380247084537147e-06, + "loss": 0.7048, + "step": 16730 + }, + { + "epoch": 0.49, + "learning_rate": 5.379772692406064e-06, + "loss": 0.7734, + "step": 16731 + }, + { + "epoch": 0.49, + "learning_rate": 5.379298296836438e-06, + "loss": 0.7979, + "step": 16732 + }, + { + "epoch": 0.49, + "learning_rate": 5.378823897832564e-06, + "loss": 0.8128, + "step": 16733 + }, + { + "epoch": 0.49, + "learning_rate": 5.378349495398736e-06, + "loss": 0.6275, + "step": 16734 + }, + { + "epoch": 0.49, + "learning_rate": 5.3778750895392495e-06, + "loss": 0.7154, + "step": 16735 + }, + { + "epoch": 0.49, + "learning_rate": 5.377400680258401e-06, + "loss": 0.6928, + "step": 16736 + }, + { + "epoch": 0.49, + "learning_rate": 5.376926267560486e-06, + "loss": 0.3475, + "step": 16737 + }, + { + "epoch": 0.49, + "learning_rate": 5.376451851449799e-06, + "loss": 0.6843, + "step": 16738 + }, + { + "epoch": 0.49, + "learning_rate": 5.375977431930636e-06, + "loss": 0.8133, + "step": 16739 + }, + { + "epoch": 0.49, + "learning_rate": 5.37550300900729e-06, + "loss": 0.6826, + "step": 16740 + }, + { + "epoch": 0.49, + "learning_rate": 5.375028582684061e-06, + "loss": 0.6558, + "step": 16741 + }, + { + "epoch": 0.49, + "learning_rate": 5.374554152965242e-06, + "loss": 0.7626, + "step": 16742 + }, + { + "epoch": 0.49, + "learning_rate": 5.3740797198551295e-06, + "loss": 0.5853, + "step": 16743 + }, + { + "epoch": 0.49, + "learning_rate": 5.373605283358017e-06, + "loss": 0.7215, + "step": 16744 + }, + { + "epoch": 0.49, + "learning_rate": 5.373130843478202e-06, + "loss": 0.8671, + "step": 16745 + }, + { + "epoch": 0.49, + "learning_rate": 5.372656400219981e-06, + "loss": 0.862, + "step": 16746 + }, + { + "epoch": 0.49, + "learning_rate": 5.372181953587649e-06, + "loss": 0.9557, + "step": 16747 + }, + { + "epoch": 0.49, + "learning_rate": 5.3717075035855e-06, + "loss": 0.77, + "step": 16748 + }, + { + "epoch": 0.49, + "learning_rate": 5.371233050217832e-06, + "loss": 0.7956, + "step": 16749 + }, + { + "epoch": 0.49, + "learning_rate": 5.370758593488939e-06, + "loss": 0.6621, + "step": 16750 + }, + { + "epoch": 0.49, + "learning_rate": 5.37028413340312e-06, + "loss": 0.8867, + "step": 16751 + }, + { + "epoch": 0.49, + "learning_rate": 5.369809669964666e-06, + "loss": 0.9564, + "step": 16752 + }, + { + "epoch": 0.49, + "learning_rate": 5.369335203177876e-06, + "loss": 0.8017, + "step": 16753 + }, + { + "epoch": 0.49, + "learning_rate": 5.368860733047047e-06, + "loss": 0.7093, + "step": 16754 + }, + { + "epoch": 0.49, + "learning_rate": 5.3683862595764715e-06, + "loss": 0.8147, + "step": 16755 + }, + { + "epoch": 0.49, + "learning_rate": 5.367911782770447e-06, + "loss": 0.7434, + "step": 16756 + }, + { + "epoch": 0.49, + "learning_rate": 5.367437302633272e-06, + "loss": 0.8454, + "step": 16757 + }, + { + "epoch": 0.49, + "learning_rate": 5.366962819169239e-06, + "loss": 0.6215, + "step": 16758 + }, + { + "epoch": 0.49, + "learning_rate": 5.366488332382647e-06, + "loss": 0.67, + "step": 16759 + }, + { + "epoch": 0.49, + "learning_rate": 5.366013842277788e-06, + "loss": 0.6849, + "step": 16760 + }, + { + "epoch": 0.49, + "learning_rate": 5.365539348858962e-06, + "loss": 0.7126, + "step": 16761 + }, + { + "epoch": 0.49, + "learning_rate": 5.365064852130465e-06, + "loss": 0.8226, + "step": 16762 + }, + { + "epoch": 0.49, + "learning_rate": 5.3645903520965906e-06, + "loss": 0.763, + "step": 16763 + }, + { + "epoch": 0.49, + "learning_rate": 5.3641158487616375e-06, + "loss": 0.7418, + "step": 16764 + }, + { + "epoch": 0.49, + "learning_rate": 5.363641342129899e-06, + "loss": 0.6629, + "step": 16765 + }, + { + "epoch": 0.49, + "learning_rate": 5.363166832205676e-06, + "loss": 0.5485, + "step": 16766 + }, + { + "epoch": 0.49, + "learning_rate": 5.362692318993261e-06, + "loss": 0.9844, + "step": 16767 + }, + { + "epoch": 0.49, + "learning_rate": 5.362217802496952e-06, + "loss": 0.7989, + "step": 16768 + }, + { + "epoch": 0.49, + "learning_rate": 5.361743282721044e-06, + "loss": 0.7967, + "step": 16769 + }, + { + "epoch": 0.49, + "learning_rate": 5.361268759669837e-06, + "loss": 0.6396, + "step": 16770 + }, + { + "epoch": 0.49, + "learning_rate": 5.3607942333476225e-06, + "loss": 0.6781, + "step": 16771 + }, + { + "epoch": 0.49, + "learning_rate": 5.3603197037586994e-06, + "loss": 0.8588, + "step": 16772 + }, + { + "epoch": 0.49, + "learning_rate": 5.359845170907364e-06, + "loss": 0.9516, + "step": 16773 + }, + { + "epoch": 0.49, + "learning_rate": 5.359370634797913e-06, + "loss": 0.8857, + "step": 16774 + }, + { + "epoch": 0.49, + "learning_rate": 5.358896095434643e-06, + "loss": 1.0335, + "step": 16775 + }, + { + "epoch": 0.49, + "learning_rate": 5.358421552821849e-06, + "loss": 0.7672, + "step": 16776 + }, + { + "epoch": 0.49, + "learning_rate": 5.357947006963831e-06, + "loss": 0.6051, + "step": 16777 + }, + { + "epoch": 0.49, + "learning_rate": 5.357472457864882e-06, + "loss": 0.7863, + "step": 16778 + }, + { + "epoch": 0.49, + "learning_rate": 5.3569979055293e-06, + "loss": 0.6075, + "step": 16779 + }, + { + "epoch": 0.49, + "learning_rate": 5.3565233499613834e-06, + "loss": 0.727, + "step": 16780 + }, + { + "epoch": 0.49, + "learning_rate": 5.356048791165427e-06, + "loss": 0.6607, + "step": 16781 + }, + { + "epoch": 0.49, + "learning_rate": 5.355574229145728e-06, + "loss": 0.7316, + "step": 16782 + }, + { + "epoch": 0.49, + "learning_rate": 5.3550996639065835e-06, + "loss": 0.6655, + "step": 16783 + }, + { + "epoch": 0.49, + "learning_rate": 5.35462509545229e-06, + "loss": 0.7174, + "step": 16784 + }, + { + "epoch": 0.49, + "learning_rate": 5.354150523787144e-06, + "loss": 0.8153, + "step": 16785 + }, + { + "epoch": 0.49, + "learning_rate": 5.353675948915442e-06, + "loss": 0.7045, + "step": 16786 + }, + { + "epoch": 0.49, + "learning_rate": 5.3532013708414835e-06, + "loss": 0.6146, + "step": 16787 + }, + { + "epoch": 0.49, + "learning_rate": 5.352726789569564e-06, + "loss": 0.5948, + "step": 16788 + }, + { + "epoch": 0.49, + "learning_rate": 5.352252205103978e-06, + "loss": 0.9176, + "step": 16789 + }, + { + "epoch": 0.49, + "learning_rate": 5.351777617449026e-06, + "loss": 0.6361, + "step": 16790 + }, + { + "epoch": 0.49, + "learning_rate": 5.351303026609004e-06, + "loss": 0.7341, + "step": 16791 + }, + { + "epoch": 0.49, + "learning_rate": 5.350828432588208e-06, + "loss": 0.7049, + "step": 16792 + }, + { + "epoch": 0.49, + "learning_rate": 5.350353835390935e-06, + "loss": 0.8077, + "step": 16793 + }, + { + "epoch": 0.49, + "learning_rate": 5.349879235021482e-06, + "loss": 0.793, + "step": 16794 + }, + { + "epoch": 0.49, + "learning_rate": 5.34940463148415e-06, + "loss": 0.638, + "step": 16795 + }, + { + "epoch": 0.49, + "learning_rate": 5.348930024783231e-06, + "loss": 0.4812, + "step": 16796 + }, + { + "epoch": 0.49, + "learning_rate": 5.348455414923025e-06, + "loss": 0.7021, + "step": 16797 + }, + { + "epoch": 0.49, + "learning_rate": 5.347980801907828e-06, + "loss": 0.9277, + "step": 16798 + }, + { + "epoch": 0.49, + "learning_rate": 5.347506185741937e-06, + "loss": 0.5323, + "step": 16799 + }, + { + "epoch": 0.49, + "learning_rate": 5.347031566429651e-06, + "loss": 0.7174, + "step": 16800 + }, + { + "epoch": 0.49, + "learning_rate": 5.346556943975268e-06, + "loss": 0.6298, + "step": 16801 + }, + { + "epoch": 0.49, + "learning_rate": 5.346082318383082e-06, + "loss": 0.861, + "step": 16802 + }, + { + "epoch": 0.49, + "learning_rate": 5.345607689657393e-06, + "loss": 0.9609, + "step": 16803 + }, + { + "epoch": 0.49, + "learning_rate": 5.345133057802495e-06, + "loss": 0.6368, + "step": 16804 + }, + { + "epoch": 0.49, + "learning_rate": 5.344658422822689e-06, + "loss": 0.7749, + "step": 16805 + }, + { + "epoch": 0.49, + "learning_rate": 5.3441837847222735e-06, + "loss": 0.9107, + "step": 16806 + }, + { + "epoch": 0.49, + "learning_rate": 5.343709143505542e-06, + "loss": 0.7726, + "step": 16807 + }, + { + "epoch": 0.49, + "learning_rate": 5.343234499176793e-06, + "loss": 0.6875, + "step": 16808 + }, + { + "epoch": 0.49, + "learning_rate": 5.342759851740326e-06, + "loss": 0.8427, + "step": 16809 + }, + { + "epoch": 0.49, + "learning_rate": 5.342285201200438e-06, + "loss": 0.5827, + "step": 16810 + }, + { + "epoch": 0.49, + "learning_rate": 5.341810547561426e-06, + "loss": 0.7345, + "step": 16811 + }, + { + "epoch": 0.49, + "learning_rate": 5.341335890827587e-06, + "loss": 0.5602, + "step": 16812 + }, + { + "epoch": 0.49, + "learning_rate": 5.340861231003219e-06, + "loss": 0.605, + "step": 16813 + }, + { + "epoch": 0.49, + "learning_rate": 5.340386568092619e-06, + "loss": 0.5969, + "step": 16814 + }, + { + "epoch": 0.49, + "learning_rate": 5.339911902100087e-06, + "loss": 0.595, + "step": 16815 + }, + { + "epoch": 0.49, + "learning_rate": 5.339437233029918e-06, + "loss": 0.616, + "step": 16816 + }, + { + "epoch": 0.49, + "learning_rate": 5.338962560886413e-06, + "loss": 0.9035, + "step": 16817 + }, + { + "epoch": 0.49, + "learning_rate": 5.338487885673868e-06, + "loss": 0.8183, + "step": 16818 + }, + { + "epoch": 0.49, + "learning_rate": 5.338013207396577e-06, + "loss": 0.7238, + "step": 16819 + }, + { + "epoch": 0.49, + "learning_rate": 5.337538526058845e-06, + "loss": 0.7217, + "step": 16820 + }, + { + "epoch": 0.49, + "learning_rate": 5.3370638416649655e-06, + "loss": 0.8645, + "step": 16821 + }, + { + "epoch": 0.49, + "learning_rate": 5.3365891542192385e-06, + "loss": 0.4233, + "step": 16822 + }, + { + "epoch": 0.49, + "learning_rate": 5.336114463725959e-06, + "loss": 0.7077, + "step": 16823 + }, + { + "epoch": 0.49, + "learning_rate": 5.335639770189426e-06, + "loss": 0.7069, + "step": 16824 + }, + { + "epoch": 0.49, + "learning_rate": 5.33516507361394e-06, + "loss": 0.6098, + "step": 16825 + }, + { + "epoch": 0.49, + "learning_rate": 5.334690374003797e-06, + "loss": 0.8542, + "step": 16826 + }, + { + "epoch": 0.49, + "learning_rate": 5.3342156713632944e-06, + "loss": 0.7219, + "step": 16827 + }, + { + "epoch": 0.49, + "learning_rate": 5.333740965696731e-06, + "loss": 0.657, + "step": 16828 + }, + { + "epoch": 0.49, + "learning_rate": 5.333266257008406e-06, + "loss": 0.7433, + "step": 16829 + }, + { + "epoch": 0.49, + "learning_rate": 5.332791545302615e-06, + "loss": 0.9821, + "step": 16830 + }, + { + "epoch": 0.49, + "learning_rate": 5.332316830583659e-06, + "loss": 0.7277, + "step": 16831 + }, + { + "epoch": 0.49, + "learning_rate": 5.331842112855834e-06, + "loss": 0.6219, + "step": 16832 + }, + { + "epoch": 0.49, + "learning_rate": 5.33136739212344e-06, + "loss": 0.8295, + "step": 16833 + }, + { + "epoch": 0.49, + "learning_rate": 5.330892668390773e-06, + "loss": 0.743, + "step": 16834 + }, + { + "epoch": 0.49, + "learning_rate": 5.330417941662131e-06, + "loss": 0.6565, + "step": 16835 + }, + { + "epoch": 0.49, + "learning_rate": 5.329943211941816e-06, + "loss": 0.7843, + "step": 16836 + }, + { + "epoch": 0.49, + "learning_rate": 5.329468479234123e-06, + "loss": 0.4263, + "step": 16837 + }, + { + "epoch": 0.49, + "learning_rate": 5.328993743543352e-06, + "loss": 0.6426, + "step": 16838 + }, + { + "epoch": 0.49, + "learning_rate": 5.3285190048738e-06, + "loss": 0.8282, + "step": 16839 + }, + { + "epoch": 0.49, + "learning_rate": 5.328044263229767e-06, + "loss": 0.5251, + "step": 16840 + }, + { + "epoch": 0.49, + "learning_rate": 5.327569518615549e-06, + "loss": 0.9779, + "step": 16841 + }, + { + "epoch": 0.49, + "learning_rate": 5.327094771035448e-06, + "loss": 0.6829, + "step": 16842 + }, + { + "epoch": 0.49, + "learning_rate": 5.326620020493758e-06, + "loss": 0.5572, + "step": 16843 + }, + { + "epoch": 0.49, + "learning_rate": 5.326145266994782e-06, + "loss": 0.7616, + "step": 16844 + }, + { + "epoch": 0.49, + "learning_rate": 5.325670510542816e-06, + "loss": 0.7374, + "step": 16845 + }, + { + "epoch": 0.49, + "learning_rate": 5.325195751142158e-06, + "loss": 0.875, + "step": 16846 + }, + { + "epoch": 0.49, + "learning_rate": 5.324720988797108e-06, + "loss": 0.7308, + "step": 16847 + }, + { + "epoch": 0.49, + "learning_rate": 5.324246223511965e-06, + "loss": 0.6787, + "step": 16848 + }, + { + "epoch": 0.5, + "learning_rate": 5.323771455291027e-06, + "loss": 0.4649, + "step": 16849 + }, + { + "epoch": 0.5, + "learning_rate": 5.323296684138591e-06, + "loss": 0.7142, + "step": 16850 + }, + { + "epoch": 0.5, + "learning_rate": 5.322821910058959e-06, + "loss": 0.6827, + "step": 16851 + }, + { + "epoch": 0.5, + "learning_rate": 5.3223471330564256e-06, + "loss": 0.6264, + "step": 16852 + }, + { + "epoch": 0.5, + "learning_rate": 5.321872353135292e-06, + "loss": 0.7158, + "step": 16853 + }, + { + "epoch": 0.5, + "learning_rate": 5.321397570299858e-06, + "loss": 0.5604, + "step": 16854 + }, + { + "epoch": 0.5, + "learning_rate": 5.32092278455442e-06, + "loss": 0.8889, + "step": 16855 + }, + { + "epoch": 0.5, + "learning_rate": 5.320447995903278e-06, + "loss": 0.6624, + "step": 16856 + }, + { + "epoch": 0.5, + "learning_rate": 5.3199732043507314e-06, + "loss": 0.8596, + "step": 16857 + }, + { + "epoch": 0.5, + "learning_rate": 5.319498409901077e-06, + "loss": 0.4614, + "step": 16858 + }, + { + "epoch": 0.5, + "learning_rate": 5.319023612558617e-06, + "loss": 0.3001, + "step": 16859 + }, + { + "epoch": 0.5, + "learning_rate": 5.318548812327647e-06, + "loss": 0.5664, + "step": 16860 + }, + { + "epoch": 0.5, + "learning_rate": 5.318074009212468e-06, + "loss": 0.8118, + "step": 16861 + }, + { + "epoch": 0.5, + "learning_rate": 5.3175992032173795e-06, + "loss": 0.8053, + "step": 16862 + }, + { + "epoch": 0.5, + "learning_rate": 5.317124394346677e-06, + "loss": 0.7356, + "step": 16863 + }, + { + "epoch": 0.5, + "learning_rate": 5.316649582604663e-06, + "loss": 0.8596, + "step": 16864 + }, + { + "epoch": 0.5, + "learning_rate": 5.316174767995635e-06, + "loss": 0.6383, + "step": 16865 + }, + { + "epoch": 0.5, + "learning_rate": 5.315699950523894e-06, + "loss": 0.6718, + "step": 16866 + }, + { + "epoch": 0.5, + "learning_rate": 5.315225130193737e-06, + "loss": 0.5356, + "step": 16867 + }, + { + "epoch": 0.5, + "learning_rate": 5.314750307009462e-06, + "loss": 0.7459, + "step": 16868 + }, + { + "epoch": 0.5, + "learning_rate": 5.314275480975371e-06, + "loss": 0.6326, + "step": 16869 + }, + { + "epoch": 0.5, + "learning_rate": 5.313800652095763e-06, + "loss": 0.6646, + "step": 16870 + }, + { + "epoch": 0.5, + "learning_rate": 5.3133258203749346e-06, + "loss": 0.6712, + "step": 16871 + }, + { + "epoch": 0.5, + "learning_rate": 5.3128509858171885e-06, + "loss": 0.6841, + "step": 16872 + }, + { + "epoch": 0.5, + "learning_rate": 5.3123761484268195e-06, + "loss": 0.7982, + "step": 16873 + }, + { + "epoch": 0.5, + "learning_rate": 5.311901308208131e-06, + "loss": 0.7334, + "step": 16874 + }, + { + "epoch": 0.5, + "learning_rate": 5.3114264651654216e-06, + "loss": 0.9673, + "step": 16875 + }, + { + "epoch": 0.5, + "learning_rate": 5.310951619302988e-06, + "loss": 0.7143, + "step": 16876 + }, + { + "epoch": 0.5, + "learning_rate": 5.310476770625133e-06, + "loss": 0.6194, + "step": 16877 + }, + { + "epoch": 0.5, + "learning_rate": 5.310001919136153e-06, + "loss": 0.6282, + "step": 16878 + }, + { + "epoch": 0.5, + "learning_rate": 5.3095270648403495e-06, + "loss": 0.8077, + "step": 16879 + }, + { + "epoch": 0.5, + "learning_rate": 5.309052207742022e-06, + "loss": 0.8352, + "step": 16880 + }, + { + "epoch": 0.5, + "learning_rate": 5.308577347845467e-06, + "loss": 0.7525, + "step": 16881 + }, + { + "epoch": 0.5, + "learning_rate": 5.308102485154988e-06, + "loss": 0.9944, + "step": 16882 + }, + { + "epoch": 0.5, + "learning_rate": 5.307627619674881e-06, + "loss": 0.8703, + "step": 16883 + }, + { + "epoch": 0.5, + "learning_rate": 5.307152751409449e-06, + "loss": 0.9558, + "step": 16884 + }, + { + "epoch": 0.5, + "learning_rate": 5.306677880362989e-06, + "loss": 0.6631, + "step": 16885 + }, + { + "epoch": 0.5, + "learning_rate": 5.306203006539802e-06, + "loss": 0.5206, + "step": 16886 + }, + { + "epoch": 0.5, + "learning_rate": 5.3057281299441865e-06, + "loss": 0.5943, + "step": 16887 + }, + { + "epoch": 0.5, + "learning_rate": 5.305253250580442e-06, + "loss": 1.1328, + "step": 16888 + }, + { + "epoch": 0.5, + "learning_rate": 5.3047783684528694e-06, + "loss": 0.8037, + "step": 16889 + }, + { + "epoch": 0.5, + "learning_rate": 5.304303483565768e-06, + "loss": 0.7837, + "step": 16890 + }, + { + "epoch": 0.5, + "learning_rate": 5.303828595923437e-06, + "loss": 0.7042, + "step": 16891 + }, + { + "epoch": 0.5, + "learning_rate": 5.3033537055301766e-06, + "loss": 0.9748, + "step": 16892 + }, + { + "epoch": 0.5, + "learning_rate": 5.302878812390285e-06, + "loss": 0.8585, + "step": 16893 + }, + { + "epoch": 0.5, + "learning_rate": 5.302403916508064e-06, + "loss": 0.5733, + "step": 16894 + }, + { + "epoch": 0.5, + "learning_rate": 5.301929017887814e-06, + "loss": 0.7384, + "step": 16895 + }, + { + "epoch": 0.5, + "learning_rate": 5.301454116533833e-06, + "loss": 0.8384, + "step": 16896 + }, + { + "epoch": 0.5, + "learning_rate": 5.300979212450421e-06, + "loss": 0.8795, + "step": 16897 + }, + { + "epoch": 0.5, + "learning_rate": 5.300504305641877e-06, + "loss": 0.7631, + "step": 16898 + }, + { + "epoch": 0.5, + "learning_rate": 5.300029396112504e-06, + "loss": 1.0859, + "step": 16899 + }, + { + "epoch": 0.5, + "learning_rate": 5.299554483866599e-06, + "loss": 0.672, + "step": 16900 + }, + { + "epoch": 0.5, + "learning_rate": 5.299079568908464e-06, + "loss": 0.8467, + "step": 16901 + }, + { + "epoch": 0.5, + "learning_rate": 5.298604651242398e-06, + "loss": 0.8714, + "step": 16902 + }, + { + "epoch": 0.5, + "learning_rate": 5.298129730872701e-06, + "loss": 0.6822, + "step": 16903 + }, + { + "epoch": 0.5, + "learning_rate": 5.297654807803673e-06, + "loss": 0.7705, + "step": 16904 + }, + { + "epoch": 0.5, + "learning_rate": 5.2971798820396136e-06, + "loss": 0.989, + "step": 16905 + }, + { + "epoch": 0.5, + "learning_rate": 5.296704953584825e-06, + "loss": 0.6366, + "step": 16906 + }, + { + "epoch": 0.5, + "learning_rate": 5.296230022443605e-06, + "loss": 0.9434, + "step": 16907 + }, + { + "epoch": 0.5, + "learning_rate": 5.295755088620253e-06, + "loss": 0.7015, + "step": 16908 + }, + { + "epoch": 0.5, + "learning_rate": 5.2952801521190724e-06, + "loss": 0.7484, + "step": 16909 + }, + { + "epoch": 0.5, + "learning_rate": 5.294805212944362e-06, + "loss": 0.804, + "step": 16910 + }, + { + "epoch": 0.5, + "learning_rate": 5.2943302711004205e-06, + "loss": 0.6608, + "step": 16911 + }, + { + "epoch": 0.5, + "learning_rate": 5.29385532659155e-06, + "loss": 0.7052, + "step": 16912 + }, + { + "epoch": 0.5, + "learning_rate": 5.2933803794220495e-06, + "loss": 0.999, + "step": 16913 + }, + { + "epoch": 0.5, + "learning_rate": 5.2929054295962204e-06, + "loss": 0.6554, + "step": 16914 + }, + { + "epoch": 0.5, + "learning_rate": 5.2924304771183625e-06, + "loss": 0.8089, + "step": 16915 + }, + { + "epoch": 0.5, + "learning_rate": 5.291955521992775e-06, + "loss": 0.6652, + "step": 16916 + }, + { + "epoch": 0.5, + "learning_rate": 5.2914805642237585e-06, + "loss": 0.8827, + "step": 16917 + }, + { + "epoch": 0.5, + "learning_rate": 5.291005603815616e-06, + "loss": 0.5986, + "step": 16918 + }, + { + "epoch": 0.5, + "learning_rate": 5.2905306407726454e-06, + "loss": 0.6273, + "step": 16919 + }, + { + "epoch": 0.5, + "learning_rate": 5.290055675099148e-06, + "loss": 0.7584, + "step": 16920 + }, + { + "epoch": 0.5, + "learning_rate": 5.289580706799424e-06, + "loss": 0.7471, + "step": 16921 + }, + { + "epoch": 0.5, + "learning_rate": 5.289105735877772e-06, + "loss": 0.5382, + "step": 16922 + }, + { + "epoch": 0.5, + "learning_rate": 5.288630762338497e-06, + "loss": 0.6475, + "step": 16923 + }, + { + "epoch": 0.5, + "learning_rate": 5.288155786185896e-06, + "loss": 0.6185, + "step": 16924 + }, + { + "epoch": 0.5, + "learning_rate": 5.287680807424269e-06, + "loss": 0.6924, + "step": 16925 + }, + { + "epoch": 0.5, + "learning_rate": 5.28720582605792e-06, + "loss": 0.5579, + "step": 16926 + }, + { + "epoch": 0.5, + "learning_rate": 5.286730842091145e-06, + "loss": 0.5424, + "step": 16927 + }, + { + "epoch": 0.5, + "learning_rate": 5.286255855528248e-06, + "loss": 1.064, + "step": 16928 + }, + { + "epoch": 0.5, + "learning_rate": 5.28578086637353e-06, + "loss": 0.7096, + "step": 16929 + }, + { + "epoch": 0.5, + "learning_rate": 5.28530587463129e-06, + "loss": 0.6643, + "step": 16930 + }, + { + "epoch": 0.5, + "learning_rate": 5.284830880305829e-06, + "loss": 0.7014, + "step": 16931 + }, + { + "epoch": 0.5, + "learning_rate": 5.284355883401449e-06, + "loss": 0.8557, + "step": 16932 + }, + { + "epoch": 0.5, + "learning_rate": 5.283880883922447e-06, + "loss": 0.9406, + "step": 16933 + }, + { + "epoch": 0.5, + "learning_rate": 5.283405881873128e-06, + "loss": 0.5216, + "step": 16934 + }, + { + "epoch": 0.5, + "learning_rate": 5.28293087725779e-06, + "loss": 0.5763, + "step": 16935 + }, + { + "epoch": 0.5, + "learning_rate": 5.282455870080736e-06, + "loss": 0.6689, + "step": 16936 + }, + { + "epoch": 0.5, + "learning_rate": 5.281980860346264e-06, + "loss": 0.8025, + "step": 16937 + }, + { + "epoch": 0.5, + "learning_rate": 5.2815058480586776e-06, + "loss": 0.6388, + "step": 16938 + }, + { + "epoch": 0.5, + "learning_rate": 5.281030833222277e-06, + "loss": 0.7845, + "step": 16939 + }, + { + "epoch": 0.5, + "learning_rate": 5.2805558158413614e-06, + "loss": 0.9277, + "step": 16940 + }, + { + "epoch": 0.5, + "learning_rate": 5.280080795920234e-06, + "loss": 0.7269, + "step": 16941 + }, + { + "epoch": 0.5, + "learning_rate": 5.279605773463193e-06, + "loss": 0.5804, + "step": 16942 + }, + { + "epoch": 0.5, + "learning_rate": 5.279130748474543e-06, + "loss": 0.577, + "step": 16943 + }, + { + "epoch": 0.5, + "learning_rate": 5.278655720958582e-06, + "loss": 0.7652, + "step": 16944 + }, + { + "epoch": 0.5, + "learning_rate": 5.278180690919613e-06, + "loss": 0.6922, + "step": 16945 + }, + { + "epoch": 0.5, + "learning_rate": 5.277705658361936e-06, + "loss": 0.867, + "step": 16946 + }, + { + "epoch": 0.5, + "learning_rate": 5.2772306232898495e-06, + "loss": 0.7376, + "step": 16947 + }, + { + "epoch": 0.5, + "learning_rate": 5.276755585707659e-06, + "loss": 0.3268, + "step": 16948 + }, + { + "epoch": 0.5, + "learning_rate": 5.2762805456196646e-06, + "loss": 0.5182, + "step": 16949 + }, + { + "epoch": 0.5, + "learning_rate": 5.275805503030166e-06, + "loss": 0.6481, + "step": 16950 + }, + { + "epoch": 0.5, + "learning_rate": 5.275330457943465e-06, + "loss": 0.7984, + "step": 16951 + }, + { + "epoch": 0.5, + "learning_rate": 5.274855410363862e-06, + "loss": 0.8363, + "step": 16952 + }, + { + "epoch": 0.5, + "learning_rate": 5.27438036029566e-06, + "loss": 0.7625, + "step": 16953 + }, + { + "epoch": 0.5, + "learning_rate": 5.273905307743158e-06, + "loss": 0.559, + "step": 16954 + }, + { + "epoch": 0.5, + "learning_rate": 5.273430252710658e-06, + "loss": 0.9627, + "step": 16955 + }, + { + "epoch": 0.5, + "learning_rate": 5.272955195202462e-06, + "loss": 0.7637, + "step": 16956 + }, + { + "epoch": 0.5, + "learning_rate": 5.272480135222871e-06, + "loss": 0.9315, + "step": 16957 + }, + { + "epoch": 0.5, + "learning_rate": 5.2720050727761865e-06, + "loss": 0.6673, + "step": 16958 + }, + { + "epoch": 0.5, + "learning_rate": 5.271530007866709e-06, + "loss": 0.7178, + "step": 16959 + }, + { + "epoch": 0.5, + "learning_rate": 5.27105494049874e-06, + "loss": 0.8718, + "step": 16960 + }, + { + "epoch": 0.5, + "learning_rate": 5.270579870676582e-06, + "loss": 0.673, + "step": 16961 + }, + { + "epoch": 0.5, + "learning_rate": 5.270104798404533e-06, + "loss": 0.7552, + "step": 16962 + }, + { + "epoch": 0.5, + "learning_rate": 5.269629723686899e-06, + "loss": 0.8336, + "step": 16963 + }, + { + "epoch": 0.5, + "learning_rate": 5.26915464652798e-06, + "loss": 0.5799, + "step": 16964 + }, + { + "epoch": 0.5, + "learning_rate": 5.268679566932076e-06, + "loss": 0.6091, + "step": 16965 + }, + { + "epoch": 0.5, + "learning_rate": 5.268204484903489e-06, + "loss": 0.6309, + "step": 16966 + }, + { + "epoch": 0.5, + "learning_rate": 5.26772940044652e-06, + "loss": 0.5819, + "step": 16967 + }, + { + "epoch": 0.5, + "learning_rate": 5.267254313565472e-06, + "loss": 0.7501, + "step": 16968 + }, + { + "epoch": 0.5, + "learning_rate": 5.266779224264646e-06, + "loss": 0.889, + "step": 16969 + }, + { + "epoch": 0.5, + "learning_rate": 5.266304132548343e-06, + "loss": 0.5108, + "step": 16970 + }, + { + "epoch": 0.5, + "learning_rate": 5.265829038420865e-06, + "loss": 0.819, + "step": 16971 + }, + { + "epoch": 0.5, + "learning_rate": 5.265353941886515e-06, + "loss": 0.6891, + "step": 16972 + }, + { + "epoch": 0.5, + "learning_rate": 5.264878842949592e-06, + "loss": 0.588, + "step": 16973 + }, + { + "epoch": 0.5, + "learning_rate": 5.264403741614399e-06, + "loss": 0.853, + "step": 16974 + }, + { + "epoch": 0.5, + "learning_rate": 5.263928637885237e-06, + "loss": 0.8629, + "step": 16975 + }, + { + "epoch": 0.5, + "learning_rate": 5.263453531766408e-06, + "loss": 0.7174, + "step": 16976 + }, + { + "epoch": 0.5, + "learning_rate": 5.262978423262215e-06, + "loss": 0.7751, + "step": 16977 + }, + { + "epoch": 0.5, + "learning_rate": 5.262503312376959e-06, + "loss": 0.7697, + "step": 16978 + }, + { + "epoch": 0.5, + "learning_rate": 5.26202819911494e-06, + "loss": 0.5888, + "step": 16979 + }, + { + "epoch": 0.5, + "learning_rate": 5.2615530834804616e-06, + "loss": 0.5155, + "step": 16980 + }, + { + "epoch": 0.5, + "learning_rate": 5.261077965477825e-06, + "loss": 1.106, + "step": 16981 + }, + { + "epoch": 0.5, + "learning_rate": 5.2606028451113324e-06, + "loss": 0.8146, + "step": 16982 + }, + { + "epoch": 0.5, + "learning_rate": 5.260127722385285e-06, + "loss": 0.5965, + "step": 16983 + }, + { + "epoch": 0.5, + "learning_rate": 5.259652597303987e-06, + "loss": 0.6355, + "step": 16984 + }, + { + "epoch": 0.5, + "learning_rate": 5.2591774698717365e-06, + "loss": 0.6695, + "step": 16985 + }, + { + "epoch": 0.5, + "learning_rate": 5.258702340092837e-06, + "loss": 0.5919, + "step": 16986 + }, + { + "epoch": 0.5, + "learning_rate": 5.2582272079715926e-06, + "loss": 0.5532, + "step": 16987 + }, + { + "epoch": 0.5, + "learning_rate": 5.2577520735123024e-06, + "loss": 0.8718, + "step": 16988 + }, + { + "epoch": 0.5, + "learning_rate": 5.257276936719269e-06, + "loss": 1.0017, + "step": 16989 + }, + { + "epoch": 0.5, + "learning_rate": 5.2568017975967956e-06, + "loss": 0.6863, + "step": 16990 + }, + { + "epoch": 0.5, + "learning_rate": 5.256326656149182e-06, + "loss": 0.8124, + "step": 16991 + }, + { + "epoch": 0.5, + "learning_rate": 5.255851512380733e-06, + "loss": 0.783, + "step": 16992 + }, + { + "epoch": 0.5, + "learning_rate": 5.255376366295749e-06, + "loss": 0.7401, + "step": 16993 + }, + { + "epoch": 0.5, + "learning_rate": 5.2549012178985325e-06, + "loss": 0.6573, + "step": 16994 + }, + { + "epoch": 0.5, + "learning_rate": 5.254426067193384e-06, + "loss": 0.828, + "step": 16995 + }, + { + "epoch": 0.5, + "learning_rate": 5.253950914184608e-06, + "loss": 0.762, + "step": 16996 + }, + { + "epoch": 0.5, + "learning_rate": 5.253475758876505e-06, + "loss": 0.7927, + "step": 16997 + }, + { + "epoch": 0.5, + "learning_rate": 5.253000601273379e-06, + "loss": 0.7504, + "step": 16998 + }, + { + "epoch": 0.5, + "learning_rate": 5.2525254413795304e-06, + "loss": 0.8408, + "step": 16999 + }, + { + "epoch": 0.5, + "learning_rate": 5.252050279199263e-06, + "loss": 0.8722, + "step": 17000 + }, + { + "epoch": 0.5, + "learning_rate": 5.2515751147368754e-06, + "loss": 0.9243, + "step": 17001 + }, + { + "epoch": 0.5, + "learning_rate": 5.251099947996674e-06, + "loss": 0.5659, + "step": 17002 + }, + { + "epoch": 0.5, + "learning_rate": 5.25062477898296e-06, + "loss": 0.4865, + "step": 17003 + }, + { + "epoch": 0.5, + "learning_rate": 5.250149607700035e-06, + "loss": 0.6734, + "step": 17004 + }, + { + "epoch": 0.5, + "learning_rate": 5.249674434152201e-06, + "loss": 0.7932, + "step": 17005 + }, + { + "epoch": 0.5, + "learning_rate": 5.24919925834376e-06, + "loss": 0.9729, + "step": 17006 + }, + { + "epoch": 0.5, + "learning_rate": 5.248724080279016e-06, + "loss": 0.9851, + "step": 17007 + }, + { + "epoch": 0.5, + "learning_rate": 5.248248899962271e-06, + "loss": 0.8628, + "step": 17008 + }, + { + "epoch": 0.5, + "learning_rate": 5.247773717397828e-06, + "loss": 0.94, + "step": 17009 + }, + { + "epoch": 0.5, + "learning_rate": 5.247298532589987e-06, + "loss": 0.6219, + "step": 17010 + }, + { + "epoch": 0.5, + "learning_rate": 5.246823345543052e-06, + "loss": 0.8112, + "step": 17011 + }, + { + "epoch": 0.5, + "learning_rate": 5.246348156261325e-06, + "loss": 0.656, + "step": 17012 + }, + { + "epoch": 0.5, + "learning_rate": 5.245872964749109e-06, + "loss": 0.612, + "step": 17013 + }, + { + "epoch": 0.5, + "learning_rate": 5.245397771010706e-06, + "loss": 0.5996, + "step": 17014 + }, + { + "epoch": 0.5, + "learning_rate": 5.2449225750504194e-06, + "loss": 0.6207, + "step": 17015 + }, + { + "epoch": 0.5, + "learning_rate": 5.244447376872549e-06, + "loss": 0.807, + "step": 17016 + }, + { + "epoch": 0.5, + "learning_rate": 5.243972176481401e-06, + "loss": 0.8601, + "step": 17017 + }, + { + "epoch": 0.5, + "learning_rate": 5.243496973881276e-06, + "loss": 0.5377, + "step": 17018 + }, + { + "epoch": 0.5, + "learning_rate": 5.243021769076476e-06, + "loss": 0.7239, + "step": 17019 + }, + { + "epoch": 0.5, + "learning_rate": 5.242546562071305e-06, + "loss": 0.9987, + "step": 17020 + }, + { + "epoch": 0.5, + "learning_rate": 5.242071352870065e-06, + "loss": 0.7083, + "step": 17021 + }, + { + "epoch": 0.5, + "learning_rate": 5.24159614147706e-06, + "loss": 0.6366, + "step": 17022 + }, + { + "epoch": 0.5, + "learning_rate": 5.24112092789659e-06, + "loss": 0.9738, + "step": 17023 + }, + { + "epoch": 0.5, + "learning_rate": 5.2406457121329605e-06, + "loss": 0.6415, + "step": 17024 + }, + { + "epoch": 0.5, + "learning_rate": 5.240170494190472e-06, + "loss": 0.9161, + "step": 17025 + }, + { + "epoch": 0.5, + "learning_rate": 5.239695274073426e-06, + "loss": 0.5792, + "step": 17026 + }, + { + "epoch": 0.5, + "learning_rate": 5.23922005178613e-06, + "loss": 0.7262, + "step": 17027 + }, + { + "epoch": 0.5, + "learning_rate": 5.238744827332884e-06, + "loss": 0.579, + "step": 17028 + }, + { + "epoch": 0.5, + "learning_rate": 5.23826960071799e-06, + "loss": 1.016, + "step": 17029 + }, + { + "epoch": 0.5, + "learning_rate": 5.237794371945752e-06, + "loss": 0.6652, + "step": 17030 + }, + { + "epoch": 0.5, + "learning_rate": 5.2373191410204725e-06, + "loss": 0.6734, + "step": 17031 + }, + { + "epoch": 0.5, + "learning_rate": 5.236843907946455e-06, + "loss": 0.755, + "step": 17032 + }, + { + "epoch": 0.5, + "learning_rate": 5.2363686727280005e-06, + "loss": 0.8466, + "step": 17033 + }, + { + "epoch": 0.5, + "learning_rate": 5.235893435369415e-06, + "loss": 0.7481, + "step": 17034 + }, + { + "epoch": 0.5, + "learning_rate": 5.235418195874997e-06, + "loss": 0.8675, + "step": 17035 + }, + { + "epoch": 0.5, + "learning_rate": 5.2349429542490525e-06, + "loss": 0.8281, + "step": 17036 + }, + { + "epoch": 0.5, + "learning_rate": 5.234467710495884e-06, + "loss": 0.4102, + "step": 17037 + }, + { + "epoch": 0.5, + "learning_rate": 5.233992464619795e-06, + "loss": 0.8024, + "step": 17038 + }, + { + "epoch": 0.5, + "learning_rate": 5.233517216625087e-06, + "loss": 0.6634, + "step": 17039 + }, + { + "epoch": 0.5, + "learning_rate": 5.233041966516064e-06, + "loss": 0.4902, + "step": 17040 + }, + { + "epoch": 0.5, + "learning_rate": 5.232566714297028e-06, + "loss": 0.7029, + "step": 17041 + }, + { + "epoch": 0.5, + "learning_rate": 5.232091459972284e-06, + "loss": 0.8688, + "step": 17042 + }, + { + "epoch": 0.5, + "learning_rate": 5.231616203546133e-06, + "loss": 0.755, + "step": 17043 + }, + { + "epoch": 0.5, + "learning_rate": 5.2311409450228804e-06, + "loss": 0.6523, + "step": 17044 + }, + { + "epoch": 0.5, + "learning_rate": 5.230665684406826e-06, + "loss": 0.6288, + "step": 17045 + }, + { + "epoch": 0.5, + "learning_rate": 5.230190421702276e-06, + "loss": 0.867, + "step": 17046 + }, + { + "epoch": 0.5, + "learning_rate": 5.229715156913531e-06, + "loss": 0.8553, + "step": 17047 + }, + { + "epoch": 0.5, + "learning_rate": 5.229239890044897e-06, + "loss": 0.6162, + "step": 17048 + }, + { + "epoch": 0.5, + "learning_rate": 5.228764621100675e-06, + "loss": 0.7023, + "step": 17049 + }, + { + "epoch": 0.5, + "learning_rate": 5.228289350085168e-06, + "loss": 0.8052, + "step": 17050 + }, + { + "epoch": 0.5, + "learning_rate": 5.227814077002681e-06, + "loss": 0.7149, + "step": 17051 + }, + { + "epoch": 0.5, + "learning_rate": 5.227338801857518e-06, + "loss": 0.6606, + "step": 17052 + }, + { + "epoch": 0.5, + "learning_rate": 5.226863524653978e-06, + "loss": 0.3825, + "step": 17053 + }, + { + "epoch": 0.5, + "learning_rate": 5.2263882453963675e-06, + "loss": 1.0867, + "step": 17054 + }, + { + "epoch": 0.5, + "learning_rate": 5.225912964088987e-06, + "loss": 0.6955, + "step": 17055 + }, + { + "epoch": 0.5, + "learning_rate": 5.225437680736144e-06, + "loss": 0.7056, + "step": 17056 + }, + { + "epoch": 0.5, + "learning_rate": 5.2249623953421395e-06, + "loss": 0.743, + "step": 17057 + }, + { + "epoch": 0.5, + "learning_rate": 5.224487107911277e-06, + "loss": 0.7156, + "step": 17058 + }, + { + "epoch": 0.5, + "learning_rate": 5.224011818447859e-06, + "loss": 0.4654, + "step": 17059 + }, + { + "epoch": 0.5, + "learning_rate": 5.22353652695619e-06, + "loss": 0.5548, + "step": 17060 + }, + { + "epoch": 0.5, + "learning_rate": 5.223061233440573e-06, + "loss": 0.6443, + "step": 17061 + }, + { + "epoch": 0.5, + "learning_rate": 5.222585937905311e-06, + "loss": 0.738, + "step": 17062 + }, + { + "epoch": 0.5, + "learning_rate": 5.2221106403547094e-06, + "loss": 0.8349, + "step": 17063 + }, + { + "epoch": 0.5, + "learning_rate": 5.22163534079307e-06, + "loss": 0.6499, + "step": 17064 + }, + { + "epoch": 0.5, + "learning_rate": 5.221160039224694e-06, + "loss": 0.9932, + "step": 17065 + }, + { + "epoch": 0.5, + "learning_rate": 5.220684735653889e-06, + "loss": 0.7242, + "step": 17066 + }, + { + "epoch": 0.5, + "learning_rate": 5.220209430084958e-06, + "loss": 0.8587, + "step": 17067 + }, + { + "epoch": 0.5, + "learning_rate": 5.219734122522202e-06, + "loss": 0.7988, + "step": 17068 + }, + { + "epoch": 0.5, + "learning_rate": 5.219258812969926e-06, + "loss": 0.713, + "step": 17069 + }, + { + "epoch": 0.5, + "learning_rate": 5.2187835014324324e-06, + "loss": 0.6065, + "step": 17070 + }, + { + "epoch": 0.5, + "learning_rate": 5.218308187914027e-06, + "loss": 0.8342, + "step": 17071 + }, + { + "epoch": 0.5, + "learning_rate": 5.217832872419013e-06, + "loss": 0.85, + "step": 17072 + }, + { + "epoch": 0.5, + "learning_rate": 5.217357554951693e-06, + "loss": 0.7272, + "step": 17073 + }, + { + "epoch": 0.5, + "learning_rate": 5.21688223551637e-06, + "loss": 0.8758, + "step": 17074 + }, + { + "epoch": 0.5, + "learning_rate": 5.216406914117349e-06, + "loss": 0.6556, + "step": 17075 + }, + { + "epoch": 0.5, + "learning_rate": 5.215931590758932e-06, + "loss": 0.7263, + "step": 17076 + }, + { + "epoch": 0.5, + "learning_rate": 5.215456265445425e-06, + "loss": 0.4628, + "step": 17077 + }, + { + "epoch": 0.5, + "learning_rate": 5.214980938181131e-06, + "loss": 0.605, + "step": 17078 + }, + { + "epoch": 0.5, + "learning_rate": 5.214505608970353e-06, + "loss": 0.7411, + "step": 17079 + }, + { + "epoch": 0.5, + "learning_rate": 5.214030277817393e-06, + "loss": 0.647, + "step": 17080 + }, + { + "epoch": 0.5, + "learning_rate": 5.213554944726557e-06, + "loss": 0.5506, + "step": 17081 + }, + { + "epoch": 0.5, + "learning_rate": 5.213079609702151e-06, + "loss": 0.532, + "step": 17082 + }, + { + "epoch": 0.5, + "learning_rate": 5.212604272748474e-06, + "loss": 0.6999, + "step": 17083 + }, + { + "epoch": 0.5, + "learning_rate": 5.212128933869834e-06, + "loss": 0.8237, + "step": 17084 + }, + { + "epoch": 0.5, + "learning_rate": 5.21165359307053e-06, + "loss": 0.8317, + "step": 17085 + }, + { + "epoch": 0.5, + "learning_rate": 5.21117825035487e-06, + "loss": 0.7373, + "step": 17086 + }, + { + "epoch": 0.5, + "learning_rate": 5.210702905727157e-06, + "loss": 0.7212, + "step": 17087 + }, + { + "epoch": 0.5, + "learning_rate": 5.210227559191695e-06, + "loss": 0.7873, + "step": 17088 + }, + { + "epoch": 0.5, + "learning_rate": 5.2097522107527876e-06, + "loss": 0.7228, + "step": 17089 + }, + { + "epoch": 0.5, + "learning_rate": 5.209276860414737e-06, + "loss": 0.8451, + "step": 17090 + }, + { + "epoch": 0.5, + "learning_rate": 5.208801508181849e-06, + "loss": 0.8796, + "step": 17091 + }, + { + "epoch": 0.5, + "learning_rate": 5.208326154058427e-06, + "loss": 0.6942, + "step": 17092 + }, + { + "epoch": 0.5, + "learning_rate": 5.2078507980487766e-06, + "loss": 0.6077, + "step": 17093 + }, + { + "epoch": 0.5, + "learning_rate": 5.207375440157199e-06, + "loss": 0.9428, + "step": 17094 + }, + { + "epoch": 0.5, + "learning_rate": 5.206900080388e-06, + "loss": 0.6254, + "step": 17095 + }, + { + "epoch": 0.5, + "learning_rate": 5.206424718745483e-06, + "loss": 0.7395, + "step": 17096 + }, + { + "epoch": 0.5, + "learning_rate": 5.205949355233951e-06, + "loss": 0.6228, + "step": 17097 + }, + { + "epoch": 0.5, + "learning_rate": 5.20547398985771e-06, + "loss": 0.4404, + "step": 17098 + }, + { + "epoch": 0.5, + "learning_rate": 5.204998622621064e-06, + "loss": 0.551, + "step": 17099 + }, + { + "epoch": 0.5, + "learning_rate": 5.204523253528314e-06, + "loss": 0.7963, + "step": 17100 + }, + { + "epoch": 0.5, + "learning_rate": 5.204047882583768e-06, + "loss": 0.6331, + "step": 17101 + }, + { + "epoch": 0.5, + "learning_rate": 5.203572509791728e-06, + "loss": 0.7462, + "step": 17102 + }, + { + "epoch": 0.5, + "learning_rate": 5.2030971351565e-06, + "loss": 0.7336, + "step": 17103 + }, + { + "epoch": 0.5, + "learning_rate": 5.2026217586823845e-06, + "loss": 0.8382, + "step": 17104 + }, + { + "epoch": 0.5, + "learning_rate": 5.202146380373688e-06, + "loss": 0.7759, + "step": 17105 + }, + { + "epoch": 0.5, + "learning_rate": 5.201671000234716e-06, + "loss": 0.634, + "step": 17106 + }, + { + "epoch": 0.5, + "learning_rate": 5.201195618269771e-06, + "loss": 0.6822, + "step": 17107 + }, + { + "epoch": 0.5, + "learning_rate": 5.200720234483157e-06, + "loss": 0.6192, + "step": 17108 + }, + { + "epoch": 0.5, + "learning_rate": 5.200244848879178e-06, + "loss": 0.7885, + "step": 17109 + }, + { + "epoch": 0.5, + "learning_rate": 5.199769461462141e-06, + "loss": 0.8092, + "step": 17110 + }, + { + "epoch": 0.5, + "learning_rate": 5.199294072236346e-06, + "loss": 0.5016, + "step": 17111 + }, + { + "epoch": 0.5, + "learning_rate": 5.198818681206101e-06, + "loss": 0.6376, + "step": 17112 + }, + { + "epoch": 0.5, + "learning_rate": 5.198343288375709e-06, + "loss": 0.9464, + "step": 17113 + }, + { + "epoch": 0.5, + "learning_rate": 5.197867893749473e-06, + "loss": 0.8088, + "step": 17114 + }, + { + "epoch": 0.5, + "learning_rate": 5.1973924973316996e-06, + "loss": 0.6047, + "step": 17115 + }, + { + "epoch": 0.5, + "learning_rate": 5.196917099126691e-06, + "loss": 0.7688, + "step": 17116 + }, + { + "epoch": 0.5, + "learning_rate": 5.196441699138753e-06, + "loss": 0.8863, + "step": 17117 + }, + { + "epoch": 0.5, + "learning_rate": 5.1959662973721904e-06, + "loss": 0.5519, + "step": 17118 + }, + { + "epoch": 0.5, + "learning_rate": 5.195490893831304e-06, + "loss": 0.6791, + "step": 17119 + }, + { + "epoch": 0.5, + "learning_rate": 5.195015488520403e-06, + "loss": 0.7495, + "step": 17120 + }, + { + "epoch": 0.5, + "learning_rate": 5.194540081443789e-06, + "loss": 0.5812, + "step": 17121 + }, + { + "epoch": 0.5, + "learning_rate": 5.194064672605767e-06, + "loss": 0.724, + "step": 17122 + }, + { + "epoch": 0.5, + "learning_rate": 5.193589262010643e-06, + "loss": 0.8413, + "step": 17123 + }, + { + "epoch": 0.5, + "learning_rate": 5.193113849662718e-06, + "loss": 0.6817, + "step": 17124 + }, + { + "epoch": 0.5, + "learning_rate": 5.1926384355663e-06, + "loss": 0.9858, + "step": 17125 + }, + { + "epoch": 0.5, + "learning_rate": 5.192163019725692e-06, + "loss": 0.7717, + "step": 17126 + }, + { + "epoch": 0.5, + "learning_rate": 5.191687602145198e-06, + "loss": 0.8372, + "step": 17127 + }, + { + "epoch": 0.5, + "learning_rate": 5.191212182829124e-06, + "loss": 0.9081, + "step": 17128 + }, + { + "epoch": 0.5, + "learning_rate": 5.1907367617817716e-06, + "loss": 0.9266, + "step": 17129 + }, + { + "epoch": 0.5, + "learning_rate": 5.190261339007449e-06, + "loss": 0.87, + "step": 17130 + }, + { + "epoch": 0.5, + "learning_rate": 5.189785914510459e-06, + "loss": 0.7616, + "step": 17131 + }, + { + "epoch": 0.5, + "learning_rate": 5.1893104882951075e-06, + "loss": 0.8174, + "step": 17132 + }, + { + "epoch": 0.5, + "learning_rate": 5.188835060365697e-06, + "loss": 0.7594, + "step": 17133 + }, + { + "epoch": 0.5, + "learning_rate": 5.188359630726533e-06, + "loss": 0.7646, + "step": 17134 + }, + { + "epoch": 0.5, + "learning_rate": 5.18788419938192e-06, + "loss": 0.5768, + "step": 17135 + }, + { + "epoch": 0.5, + "learning_rate": 5.187408766336164e-06, + "loss": 0.9795, + "step": 17136 + }, + { + "epoch": 0.5, + "learning_rate": 5.186933331593569e-06, + "loss": 0.5887, + "step": 17137 + }, + { + "epoch": 0.5, + "learning_rate": 5.186457895158438e-06, + "loss": 0.8025, + "step": 17138 + }, + { + "epoch": 0.5, + "learning_rate": 5.185982457035076e-06, + "loss": 0.8771, + "step": 17139 + }, + { + "epoch": 0.5, + "learning_rate": 5.185507017227791e-06, + "loss": 0.6114, + "step": 17140 + }, + { + "epoch": 0.5, + "learning_rate": 5.185031575740884e-06, + "loss": 0.8202, + "step": 17141 + }, + { + "epoch": 0.5, + "learning_rate": 5.1845561325786616e-06, + "loss": 0.5947, + "step": 17142 + }, + { + "epoch": 0.5, + "learning_rate": 5.184080687745429e-06, + "loss": 0.569, + "step": 17143 + }, + { + "epoch": 0.5, + "learning_rate": 5.1836052412454884e-06, + "loss": 0.783, + "step": 17144 + }, + { + "epoch": 0.5, + "learning_rate": 5.1831297930831485e-06, + "loss": 0.8603, + "step": 17145 + }, + { + "epoch": 0.5, + "learning_rate": 5.182654343262709e-06, + "loss": 1.0135, + "step": 17146 + }, + { + "epoch": 0.5, + "learning_rate": 5.182178891788481e-06, + "loss": 0.7511, + "step": 17147 + }, + { + "epoch": 0.5, + "learning_rate": 5.181703438664765e-06, + "loss": 0.7159, + "step": 17148 + }, + { + "epoch": 0.5, + "learning_rate": 5.181227983895865e-06, + "loss": 0.7985, + "step": 17149 + }, + { + "epoch": 0.5, + "learning_rate": 5.180752527486089e-06, + "loss": 0.7471, + "step": 17150 + }, + { + "epoch": 0.5, + "learning_rate": 5.180277069439742e-06, + "loss": 0.6468, + "step": 17151 + }, + { + "epoch": 0.5, + "learning_rate": 5.179801609761126e-06, + "loss": 0.9096, + "step": 17152 + }, + { + "epoch": 0.5, + "learning_rate": 5.1793261484545485e-06, + "loss": 0.7936, + "step": 17153 + }, + { + "epoch": 0.5, + "learning_rate": 5.178850685524313e-06, + "loss": 0.504, + "step": 17154 + }, + { + "epoch": 0.5, + "learning_rate": 5.178375220974724e-06, + "loss": 0.7714, + "step": 17155 + }, + { + "epoch": 0.5, + "learning_rate": 5.1778997548100885e-06, + "loss": 0.7004, + "step": 17156 + }, + { + "epoch": 0.5, + "learning_rate": 5.17742428703471e-06, + "loss": 0.8264, + "step": 17157 + }, + { + "epoch": 0.5, + "learning_rate": 5.176948817652894e-06, + "loss": 0.7512, + "step": 17158 + }, + { + "epoch": 0.5, + "learning_rate": 5.176473346668943e-06, + "loss": 0.7517, + "step": 17159 + }, + { + "epoch": 0.5, + "learning_rate": 5.175997874087166e-06, + "loss": 0.5906, + "step": 17160 + }, + { + "epoch": 0.5, + "learning_rate": 5.175522399911867e-06, + "loss": 0.8889, + "step": 17161 + }, + { + "epoch": 0.5, + "learning_rate": 5.175046924147349e-06, + "loss": 0.7063, + "step": 17162 + }, + { + "epoch": 0.5, + "learning_rate": 5.174571446797919e-06, + "loss": 0.7527, + "step": 17163 + }, + { + "epoch": 0.5, + "learning_rate": 5.1740959678678806e-06, + "loss": 0.7004, + "step": 17164 + }, + { + "epoch": 0.5, + "learning_rate": 5.173620487361542e-06, + "loss": 1.0107, + "step": 17165 + }, + { + "epoch": 0.5, + "learning_rate": 5.173145005283203e-06, + "loss": 0.8505, + "step": 17166 + }, + { + "epoch": 0.5, + "learning_rate": 5.172669521637175e-06, + "loss": 0.7451, + "step": 17167 + }, + { + "epoch": 0.5, + "learning_rate": 5.172194036427758e-06, + "loss": 0.7405, + "step": 17168 + }, + { + "epoch": 0.5, + "learning_rate": 5.171718549659258e-06, + "loss": 0.5931, + "step": 17169 + }, + { + "epoch": 0.5, + "learning_rate": 5.171243061335983e-06, + "loss": 0.8632, + "step": 17170 + }, + { + "epoch": 0.5, + "learning_rate": 5.170767571462236e-06, + "loss": 0.5056, + "step": 17171 + }, + { + "epoch": 0.5, + "learning_rate": 5.170292080042323e-06, + "loss": 0.7574, + "step": 17172 + }, + { + "epoch": 0.5, + "learning_rate": 5.169816587080548e-06, + "loss": 0.7478, + "step": 17173 + }, + { + "epoch": 0.5, + "learning_rate": 5.169341092581218e-06, + "loss": 0.5363, + "step": 17174 + }, + { + "epoch": 0.5, + "learning_rate": 5.168865596548637e-06, + "loss": 0.7418, + "step": 17175 + }, + { + "epoch": 0.5, + "learning_rate": 5.168390098987111e-06, + "loss": 0.7109, + "step": 17176 + }, + { + "epoch": 0.5, + "learning_rate": 5.167914599900944e-06, + "loss": 0.7356, + "step": 17177 + }, + { + "epoch": 0.5, + "learning_rate": 5.16743909929444e-06, + "loss": 0.6258, + "step": 17178 + }, + { + "epoch": 0.5, + "learning_rate": 5.166963597171909e-06, + "loss": 0.5406, + "step": 17179 + }, + { + "epoch": 0.5, + "learning_rate": 5.166488093537653e-06, + "loss": 0.7519, + "step": 17180 + }, + { + "epoch": 0.5, + "learning_rate": 5.166012588395977e-06, + "loss": 0.823, + "step": 17181 + }, + { + "epoch": 0.5, + "learning_rate": 5.165537081751189e-06, + "loss": 0.9466, + "step": 17182 + }, + { + "epoch": 0.5, + "learning_rate": 5.1650615736075904e-06, + "loss": 0.6323, + "step": 17183 + }, + { + "epoch": 0.5, + "learning_rate": 5.164586063969489e-06, + "loss": 0.5118, + "step": 17184 + }, + { + "epoch": 0.5, + "learning_rate": 5.164110552841191e-06, + "loss": 0.7277, + "step": 17185 + }, + { + "epoch": 0.5, + "learning_rate": 5.163635040227001e-06, + "loss": 0.6084, + "step": 17186 + }, + { + "epoch": 0.5, + "learning_rate": 5.163159526131223e-06, + "loss": 0.6336, + "step": 17187 + }, + { + "epoch": 0.5, + "learning_rate": 5.162684010558163e-06, + "loss": 0.8239, + "step": 17188 + }, + { + "epoch": 0.5, + "learning_rate": 5.162208493512128e-06, + "loss": 0.5012, + "step": 17189 + }, + { + "epoch": 0.51, + "learning_rate": 5.161732974997422e-06, + "loss": 0.6661, + "step": 17190 + }, + { + "epoch": 0.51, + "learning_rate": 5.161257455018351e-06, + "loss": 0.5911, + "step": 17191 + }, + { + "epoch": 0.51, + "learning_rate": 5.160781933579221e-06, + "loss": 0.6084, + "step": 17192 + }, + { + "epoch": 0.51, + "learning_rate": 5.1603064106843346e-06, + "loss": 0.6087, + "step": 17193 + }, + { + "epoch": 0.51, + "learning_rate": 5.159830886338001e-06, + "loss": 0.6801, + "step": 17194 + }, + { + "epoch": 0.51, + "learning_rate": 5.159355360544524e-06, + "loss": 0.585, + "step": 17195 + }, + { + "epoch": 0.51, + "learning_rate": 5.158879833308209e-06, + "loss": 0.8797, + "step": 17196 + }, + { + "epoch": 0.51, + "learning_rate": 5.158404304633362e-06, + "loss": 0.5757, + "step": 17197 + }, + { + "epoch": 0.51, + "learning_rate": 5.157928774524287e-06, + "loss": 0.5719, + "step": 17198 + }, + { + "epoch": 0.51, + "learning_rate": 5.157453242985292e-06, + "loss": 0.665, + "step": 17199 + }, + { + "epoch": 0.51, + "learning_rate": 5.156977710020681e-06, + "loss": 0.5753, + "step": 17200 + }, + { + "epoch": 0.51, + "learning_rate": 5.15650217563476e-06, + "loss": 0.5872, + "step": 17201 + }, + { + "epoch": 0.51, + "learning_rate": 5.156026639831835e-06, + "loss": 0.866, + "step": 17202 + }, + { + "epoch": 0.51, + "learning_rate": 5.15555110261621e-06, + "loss": 0.7153, + "step": 17203 + }, + { + "epoch": 0.51, + "learning_rate": 5.155075563992192e-06, + "loss": 0.7382, + "step": 17204 + }, + { + "epoch": 0.51, + "learning_rate": 5.154600023964087e-06, + "loss": 0.614, + "step": 17205 + }, + { + "epoch": 0.51, + "learning_rate": 5.154124482536201e-06, + "loss": 0.871, + "step": 17206 + }, + { + "epoch": 0.51, + "learning_rate": 5.153648939712837e-06, + "loss": 0.8108, + "step": 17207 + }, + { + "epoch": 0.51, + "learning_rate": 5.153173395498302e-06, + "loss": 0.7233, + "step": 17208 + }, + { + "epoch": 0.51, + "learning_rate": 5.152697849896904e-06, + "loss": 0.5634, + "step": 17209 + }, + { + "epoch": 0.51, + "learning_rate": 5.152222302912945e-06, + "loss": 0.8002, + "step": 17210 + }, + { + "epoch": 0.51, + "learning_rate": 5.151746754550734e-06, + "loss": 0.6036, + "step": 17211 + }, + { + "epoch": 0.51, + "learning_rate": 5.151271204814574e-06, + "loss": 0.8883, + "step": 17212 + }, + { + "epoch": 0.51, + "learning_rate": 5.150795653708771e-06, + "loss": 0.7656, + "step": 17213 + }, + { + "epoch": 0.51, + "learning_rate": 5.150320101237634e-06, + "loss": 0.695, + "step": 17214 + }, + { + "epoch": 0.51, + "learning_rate": 5.149844547405465e-06, + "loss": 0.6235, + "step": 17215 + }, + { + "epoch": 0.51, + "learning_rate": 5.149368992216573e-06, + "loss": 0.6464, + "step": 17216 + }, + { + "epoch": 0.51, + "learning_rate": 5.1488934356752606e-06, + "loss": 0.8792, + "step": 17217 + }, + { + "epoch": 0.51, + "learning_rate": 5.148417877785834e-06, + "loss": 0.7751, + "step": 17218 + }, + { + "epoch": 0.51, + "learning_rate": 5.1479423185526e-06, + "loss": 0.7553, + "step": 17219 + }, + { + "epoch": 0.51, + "learning_rate": 5.147466757979865e-06, + "loss": 0.6771, + "step": 17220 + }, + { + "epoch": 0.51, + "learning_rate": 5.146991196071936e-06, + "loss": 0.8185, + "step": 17221 + }, + { + "epoch": 0.51, + "learning_rate": 5.146515632833114e-06, + "loss": 0.6853, + "step": 17222 + }, + { + "epoch": 0.51, + "learning_rate": 5.146040068267708e-06, + "loss": 1.1538, + "step": 17223 + }, + { + "epoch": 0.51, + "learning_rate": 5.145564502380026e-06, + "loss": 0.6831, + "step": 17224 + }, + { + "epoch": 0.51, + "learning_rate": 5.1450889351743705e-06, + "loss": 0.8179, + "step": 17225 + }, + { + "epoch": 0.51, + "learning_rate": 5.144613366655048e-06, + "loss": 0.7013, + "step": 17226 + }, + { + "epoch": 0.51, + "learning_rate": 5.144137796826366e-06, + "loss": 0.917, + "step": 17227 + }, + { + "epoch": 0.51, + "learning_rate": 5.143662225692627e-06, + "loss": 0.6145, + "step": 17228 + }, + { + "epoch": 0.51, + "learning_rate": 5.143186653258141e-06, + "loss": 0.787, + "step": 17229 + }, + { + "epoch": 0.51, + "learning_rate": 5.142711079527213e-06, + "loss": 0.6931, + "step": 17230 + }, + { + "epoch": 0.51, + "learning_rate": 5.142235504504147e-06, + "loss": 0.7986, + "step": 17231 + }, + { + "epoch": 0.51, + "learning_rate": 5.1417599281932505e-06, + "loss": 0.7343, + "step": 17232 + }, + { + "epoch": 0.51, + "learning_rate": 5.141284350598827e-06, + "loss": 0.9947, + "step": 17233 + }, + { + "epoch": 0.51, + "learning_rate": 5.140808771725186e-06, + "loss": 0.676, + "step": 17234 + }, + { + "epoch": 0.51, + "learning_rate": 5.140333191576633e-06, + "loss": 0.7144, + "step": 17235 + }, + { + "epoch": 0.51, + "learning_rate": 5.139857610157473e-06, + "loss": 0.64, + "step": 17236 + }, + { + "epoch": 0.51, + "learning_rate": 5.13938202747201e-06, + "loss": 0.7222, + "step": 17237 + }, + { + "epoch": 0.51, + "learning_rate": 5.1389064435245555e-06, + "loss": 0.6784, + "step": 17238 + }, + { + "epoch": 0.51, + "learning_rate": 5.13843085831941e-06, + "loss": 0.5735, + "step": 17239 + }, + { + "epoch": 0.51, + "learning_rate": 5.137955271860882e-06, + "loss": 0.6823, + "step": 17240 + }, + { + "epoch": 0.51, + "learning_rate": 5.137479684153276e-06, + "loss": 0.8041, + "step": 17241 + }, + { + "epoch": 0.51, + "learning_rate": 5.1370040952008995e-06, + "loss": 0.986, + "step": 17242 + }, + { + "epoch": 0.51, + "learning_rate": 5.136528505008059e-06, + "loss": 1.0279, + "step": 17243 + }, + { + "epoch": 0.51, + "learning_rate": 5.13605291357906e-06, + "loss": 0.898, + "step": 17244 + }, + { + "epoch": 0.51, + "learning_rate": 5.1355773209182094e-06, + "loss": 0.8783, + "step": 17245 + }, + { + "epoch": 0.51, + "learning_rate": 5.135101727029812e-06, + "loss": 0.8688, + "step": 17246 + }, + { + "epoch": 0.51, + "learning_rate": 5.1346261319181735e-06, + "loss": 0.5881, + "step": 17247 + }, + { + "epoch": 0.51, + "learning_rate": 5.134150535587601e-06, + "loss": 0.7921, + "step": 17248 + }, + { + "epoch": 0.51, + "learning_rate": 5.1336749380424025e-06, + "loss": 0.8777, + "step": 17249 + }, + { + "epoch": 0.51, + "learning_rate": 5.13319933928688e-06, + "loss": 0.6017, + "step": 17250 + }, + { + "epoch": 0.51, + "learning_rate": 5.1327237393253435e-06, + "loss": 0.96, + "step": 17251 + }, + { + "epoch": 0.51, + "learning_rate": 5.1322481381620955e-06, + "loss": 0.7047, + "step": 17252 + }, + { + "epoch": 0.51, + "learning_rate": 5.131772535801447e-06, + "loss": 0.6946, + "step": 17253 + }, + { + "epoch": 0.51, + "learning_rate": 5.1312969322477e-06, + "loss": 0.7159, + "step": 17254 + }, + { + "epoch": 0.51, + "learning_rate": 5.130821327505163e-06, + "loss": 0.7814, + "step": 17255 + }, + { + "epoch": 0.51, + "learning_rate": 5.1303457215781415e-06, + "loss": 1.033, + "step": 17256 + }, + { + "epoch": 0.51, + "learning_rate": 5.1298701144709414e-06, + "loss": 0.7889, + "step": 17257 + }, + { + "epoch": 0.51, + "learning_rate": 5.12939450618787e-06, + "loss": 0.7418, + "step": 17258 + }, + { + "epoch": 0.51, + "learning_rate": 5.1289188967332325e-06, + "loss": 0.8563, + "step": 17259 + }, + { + "epoch": 0.51, + "learning_rate": 5.128443286111335e-06, + "loss": 0.6342, + "step": 17260 + }, + { + "epoch": 0.51, + "learning_rate": 5.127967674326485e-06, + "loss": 0.9527, + "step": 17261 + }, + { + "epoch": 0.51, + "learning_rate": 5.127492061382987e-06, + "loss": 0.9622, + "step": 17262 + }, + { + "epoch": 0.51, + "learning_rate": 5.127016447285149e-06, + "loss": 0.5831, + "step": 17263 + }, + { + "epoch": 0.51, + "learning_rate": 5.126540832037277e-06, + "loss": 0.6627, + "step": 17264 + }, + { + "epoch": 0.51, + "learning_rate": 5.126065215643678e-06, + "loss": 0.9103, + "step": 17265 + }, + { + "epoch": 0.51, + "learning_rate": 5.125589598108656e-06, + "loss": 0.866, + "step": 17266 + }, + { + "epoch": 0.51, + "learning_rate": 5.125113979436517e-06, + "loss": 0.9146, + "step": 17267 + }, + { + "epoch": 0.51, + "learning_rate": 5.124638359631571e-06, + "loss": 0.7038, + "step": 17268 + }, + { + "epoch": 0.51, + "learning_rate": 5.124162738698123e-06, + "loss": 0.9375, + "step": 17269 + }, + { + "epoch": 0.51, + "learning_rate": 5.123687116640478e-06, + "loss": 0.7613, + "step": 17270 + }, + { + "epoch": 0.51, + "learning_rate": 5.123211493462943e-06, + "loss": 0.6725, + "step": 17271 + }, + { + "epoch": 0.51, + "learning_rate": 5.122735869169824e-06, + "loss": 0.489, + "step": 17272 + }, + { + "epoch": 0.51, + "learning_rate": 5.122260243765429e-06, + "loss": 0.8236, + "step": 17273 + }, + { + "epoch": 0.51, + "learning_rate": 5.121784617254063e-06, + "loss": 0.8245, + "step": 17274 + }, + { + "epoch": 0.51, + "learning_rate": 5.121308989640033e-06, + "loss": 0.683, + "step": 17275 + }, + { + "epoch": 0.51, + "learning_rate": 5.120833360927645e-06, + "loss": 0.7571, + "step": 17276 + }, + { + "epoch": 0.51, + "learning_rate": 5.120357731121206e-06, + "loss": 0.926, + "step": 17277 + }, + { + "epoch": 0.51, + "learning_rate": 5.119882100225023e-06, + "loss": 0.9267, + "step": 17278 + }, + { + "epoch": 0.51, + "learning_rate": 5.119406468243401e-06, + "loss": 0.9135, + "step": 17279 + }, + { + "epoch": 0.51, + "learning_rate": 5.118930835180646e-06, + "loss": 0.6939, + "step": 17280 + }, + { + "epoch": 0.51, + "learning_rate": 5.118455201041067e-06, + "loss": 0.8067, + "step": 17281 + }, + { + "epoch": 0.51, + "learning_rate": 5.117979565828968e-06, + "loss": 0.6259, + "step": 17282 + }, + { + "epoch": 0.51, + "learning_rate": 5.117503929548656e-06, + "loss": 0.9773, + "step": 17283 + }, + { + "epoch": 0.51, + "learning_rate": 5.11702829220444e-06, + "loss": 0.6612, + "step": 17284 + }, + { + "epoch": 0.51, + "learning_rate": 5.1165526538006235e-06, + "loss": 0.7101, + "step": 17285 + }, + { + "epoch": 0.51, + "learning_rate": 5.116077014341515e-06, + "loss": 0.709, + "step": 17286 + }, + { + "epoch": 0.51, + "learning_rate": 5.115601373831418e-06, + "loss": 0.6745, + "step": 17287 + }, + { + "epoch": 0.51, + "learning_rate": 5.115125732274643e-06, + "loss": 0.6856, + "step": 17288 + }, + { + "epoch": 0.51, + "learning_rate": 5.114650089675494e-06, + "loss": 0.7301, + "step": 17289 + }, + { + "epoch": 0.51, + "learning_rate": 5.114174446038279e-06, + "loss": 0.7082, + "step": 17290 + }, + { + "epoch": 0.51, + "learning_rate": 5.113698801367305e-06, + "loss": 0.74, + "step": 17291 + }, + { + "epoch": 0.51, + "learning_rate": 5.113223155666876e-06, + "loss": 0.7574, + "step": 17292 + }, + { + "epoch": 0.51, + "learning_rate": 5.112747508941299e-06, + "loss": 0.6417, + "step": 17293 + }, + { + "epoch": 0.51, + "learning_rate": 5.112271861194884e-06, + "loss": 0.943, + "step": 17294 + }, + { + "epoch": 0.51, + "learning_rate": 5.1117962124319344e-06, + "loss": 0.449, + "step": 17295 + }, + { + "epoch": 0.51, + "learning_rate": 5.111320562656758e-06, + "loss": 0.6375, + "step": 17296 + }, + { + "epoch": 0.51, + "learning_rate": 5.110844911873661e-06, + "loss": 0.7396, + "step": 17297 + }, + { + "epoch": 0.51, + "learning_rate": 5.1103692600869514e-06, + "loss": 0.6782, + "step": 17298 + }, + { + "epoch": 0.51, + "learning_rate": 5.109893607300934e-06, + "loss": 0.8032, + "step": 17299 + }, + { + "epoch": 0.51, + "learning_rate": 5.109417953519916e-06, + "loss": 0.641, + "step": 17300 + }, + { + "epoch": 0.51, + "learning_rate": 5.108942298748203e-06, + "loss": 0.6809, + "step": 17301 + }, + { + "epoch": 0.51, + "learning_rate": 5.108466642990104e-06, + "loss": 0.8995, + "step": 17302 + }, + { + "epoch": 0.51, + "learning_rate": 5.107990986249926e-06, + "loss": 0.7632, + "step": 17303 + }, + { + "epoch": 0.51, + "learning_rate": 5.1075153285319735e-06, + "loss": 0.6447, + "step": 17304 + }, + { + "epoch": 0.51, + "learning_rate": 5.107039669840553e-06, + "loss": 0.6455, + "step": 17305 + }, + { + "epoch": 0.51, + "learning_rate": 5.106564010179972e-06, + "loss": 0.529, + "step": 17306 + }, + { + "epoch": 0.51, + "learning_rate": 5.106088349554539e-06, + "loss": 0.6638, + "step": 17307 + }, + { + "epoch": 0.51, + "learning_rate": 5.105612687968558e-06, + "loss": 0.5652, + "step": 17308 + }, + { + "epoch": 0.51, + "learning_rate": 5.1051370254263375e-06, + "loss": 0.5072, + "step": 17309 + }, + { + "epoch": 0.51, + "learning_rate": 5.104661361932185e-06, + "loss": 0.6889, + "step": 17310 + }, + { + "epoch": 0.51, + "learning_rate": 5.1041856974904036e-06, + "loss": 0.7736, + "step": 17311 + }, + { + "epoch": 0.51, + "learning_rate": 5.103710032105303e-06, + "loss": 0.6289, + "step": 17312 + }, + { + "epoch": 0.51, + "learning_rate": 5.10323436578119e-06, + "loss": 0.587, + "step": 17313 + }, + { + "epoch": 0.51, + "learning_rate": 5.102758698522371e-06, + "loss": 0.7747, + "step": 17314 + }, + { + "epoch": 0.51, + "learning_rate": 5.102283030333152e-06, + "loss": 0.6326, + "step": 17315 + }, + { + "epoch": 0.51, + "learning_rate": 5.101807361217841e-06, + "loss": 0.7396, + "step": 17316 + }, + { + "epoch": 0.51, + "learning_rate": 5.101331691180745e-06, + "loss": 0.6258, + "step": 17317 + }, + { + "epoch": 0.51, + "learning_rate": 5.100856020226168e-06, + "loss": 0.6552, + "step": 17318 + }, + { + "epoch": 0.51, + "learning_rate": 5.10038034835842e-06, + "loss": 0.646, + "step": 17319 + }, + { + "epoch": 0.51, + "learning_rate": 5.099904675581807e-06, + "loss": 0.8084, + "step": 17320 + }, + { + "epoch": 0.51, + "learning_rate": 5.099429001900634e-06, + "loss": 0.446, + "step": 17321 + }, + { + "epoch": 0.51, + "learning_rate": 5.098953327319211e-06, + "loss": 0.6466, + "step": 17322 + }, + { + "epoch": 0.51, + "learning_rate": 5.098477651841842e-06, + "loss": 0.7254, + "step": 17323 + }, + { + "epoch": 0.51, + "learning_rate": 5.098001975472836e-06, + "loss": 0.8262, + "step": 17324 + }, + { + "epoch": 0.51, + "learning_rate": 5.0975262982164984e-06, + "loss": 0.7856, + "step": 17325 + }, + { + "epoch": 0.51, + "learning_rate": 5.097050620077137e-06, + "loss": 0.8713, + "step": 17326 + }, + { + "epoch": 0.51, + "learning_rate": 5.096574941059058e-06, + "loss": 0.7746, + "step": 17327 + }, + { + "epoch": 0.51, + "learning_rate": 5.096099261166569e-06, + "loss": 0.9324, + "step": 17328 + }, + { + "epoch": 0.51, + "learning_rate": 5.095623580403977e-06, + "loss": 0.7266, + "step": 17329 + }, + { + "epoch": 0.51, + "learning_rate": 5.095147898775588e-06, + "loss": 0.821, + "step": 17330 + }, + { + "epoch": 0.51, + "learning_rate": 5.094672216285707e-06, + "loss": 0.8894, + "step": 17331 + }, + { + "epoch": 0.51, + "learning_rate": 5.094196532938646e-06, + "loss": 0.7696, + "step": 17332 + }, + { + "epoch": 0.51, + "learning_rate": 5.09372084873871e-06, + "loss": 0.5945, + "step": 17333 + }, + { + "epoch": 0.51, + "learning_rate": 5.093245163690205e-06, + "loss": 0.8642, + "step": 17334 + }, + { + "epoch": 0.51, + "learning_rate": 5.0927694777974365e-06, + "loss": 0.6948, + "step": 17335 + }, + { + "epoch": 0.51, + "learning_rate": 5.092293791064715e-06, + "loss": 0.7411, + "step": 17336 + }, + { + "epoch": 0.51, + "learning_rate": 5.091818103496345e-06, + "loss": 0.6139, + "step": 17337 + }, + { + "epoch": 0.51, + "learning_rate": 5.091342415096634e-06, + "loss": 0.9122, + "step": 17338 + }, + { + "epoch": 0.51, + "learning_rate": 5.090866725869889e-06, + "loss": 0.6441, + "step": 17339 + }, + { + "epoch": 0.51, + "learning_rate": 5.090391035820417e-06, + "loss": 0.6308, + "step": 17340 + }, + { + "epoch": 0.51, + "learning_rate": 5.089915344952524e-06, + "loss": 0.9656, + "step": 17341 + }, + { + "epoch": 0.51, + "learning_rate": 5.089439653270519e-06, + "loss": 0.7094, + "step": 17342 + }, + { + "epoch": 0.51, + "learning_rate": 5.0889639607787075e-06, + "loss": 0.6762, + "step": 17343 + }, + { + "epoch": 0.51, + "learning_rate": 5.088488267481399e-06, + "loss": 0.5645, + "step": 17344 + }, + { + "epoch": 0.51, + "learning_rate": 5.088012573382897e-06, + "loss": 0.5058, + "step": 17345 + }, + { + "epoch": 0.51, + "learning_rate": 5.08753687848751e-06, + "loss": 0.6889, + "step": 17346 + }, + { + "epoch": 0.51, + "learning_rate": 5.087061182799546e-06, + "loss": 0.5706, + "step": 17347 + }, + { + "epoch": 0.51, + "learning_rate": 5.086585486323311e-06, + "loss": 0.6665, + "step": 17348 + }, + { + "epoch": 0.51, + "learning_rate": 5.0861097890631126e-06, + "loss": 0.617, + "step": 17349 + }, + { + "epoch": 0.51, + "learning_rate": 5.085634091023257e-06, + "loss": 0.6821, + "step": 17350 + }, + { + "epoch": 0.51, + "learning_rate": 5.0851583922080515e-06, + "loss": 0.6172, + "step": 17351 + }, + { + "epoch": 0.51, + "learning_rate": 5.084682692621805e-06, + "loss": 0.5638, + "step": 17352 + }, + { + "epoch": 0.51, + "learning_rate": 5.084206992268823e-06, + "loss": 0.6691, + "step": 17353 + }, + { + "epoch": 0.51, + "learning_rate": 5.083731291153412e-06, + "loss": 0.7982, + "step": 17354 + }, + { + "epoch": 0.51, + "learning_rate": 5.083255589279881e-06, + "loss": 1.0121, + "step": 17355 + }, + { + "epoch": 0.51, + "learning_rate": 5.082779886652535e-06, + "loss": 0.7534, + "step": 17356 + }, + { + "epoch": 0.51, + "learning_rate": 5.082304183275681e-06, + "loss": 0.9081, + "step": 17357 + }, + { + "epoch": 0.51, + "learning_rate": 5.081828479153629e-06, + "loss": 0.6792, + "step": 17358 + }, + { + "epoch": 0.51, + "learning_rate": 5.081352774290683e-06, + "loss": 0.8079, + "step": 17359 + }, + { + "epoch": 0.51, + "learning_rate": 5.080877068691153e-06, + "loss": 0.8293, + "step": 17360 + }, + { + "epoch": 0.51, + "learning_rate": 5.080401362359343e-06, + "loss": 0.7201, + "step": 17361 + }, + { + "epoch": 0.51, + "learning_rate": 5.079925655299562e-06, + "loss": 0.5511, + "step": 17362 + }, + { + "epoch": 0.51, + "learning_rate": 5.0794499475161175e-06, + "loss": 0.6573, + "step": 17363 + }, + { + "epoch": 0.51, + "learning_rate": 5.078974239013316e-06, + "loss": 0.8612, + "step": 17364 + }, + { + "epoch": 0.51, + "learning_rate": 5.0784985297954645e-06, + "loss": 0.5396, + "step": 17365 + }, + { + "epoch": 0.51, + "learning_rate": 5.078022819866869e-06, + "loss": 1.0168, + "step": 17366 + }, + { + "epoch": 0.51, + "learning_rate": 5.0775471092318395e-06, + "loss": 0.6292, + "step": 17367 + }, + { + "epoch": 0.51, + "learning_rate": 5.0770713978946815e-06, + "loss": 0.7034, + "step": 17368 + }, + { + "epoch": 0.51, + "learning_rate": 5.076595685859703e-06, + "loss": 0.6765, + "step": 17369 + }, + { + "epoch": 0.51, + "learning_rate": 5.0761199731312095e-06, + "loss": 0.6109, + "step": 17370 + }, + { + "epoch": 0.51, + "learning_rate": 5.07564425971351e-06, + "loss": 0.6798, + "step": 17371 + }, + { + "epoch": 0.51, + "learning_rate": 5.075168545610911e-06, + "loss": 0.6833, + "step": 17372 + }, + { + "epoch": 0.51, + "learning_rate": 5.074692830827721e-06, + "loss": 0.7236, + "step": 17373 + }, + { + "epoch": 0.51, + "learning_rate": 5.074217115368245e-06, + "loss": 0.4859, + "step": 17374 + }, + { + "epoch": 0.51, + "learning_rate": 5.07374139923679e-06, + "loss": 0.5599, + "step": 17375 + }, + { + "epoch": 0.51, + "learning_rate": 5.073265682437666e-06, + "loss": 0.7353, + "step": 17376 + }, + { + "epoch": 0.51, + "learning_rate": 5.0727899649751776e-06, + "loss": 0.7133, + "step": 17377 + }, + { + "epoch": 0.51, + "learning_rate": 5.072314246853635e-06, + "loss": 0.9145, + "step": 17378 + }, + { + "epoch": 0.51, + "learning_rate": 5.071838528077342e-06, + "loss": 0.7744, + "step": 17379 + }, + { + "epoch": 0.51, + "learning_rate": 5.071362808650609e-06, + "loss": 0.8373, + "step": 17380 + }, + { + "epoch": 0.51, + "learning_rate": 5.070887088577741e-06, + "loss": 0.4713, + "step": 17381 + }, + { + "epoch": 0.51, + "learning_rate": 5.070411367863045e-06, + "loss": 0.4458, + "step": 17382 + }, + { + "epoch": 0.51, + "learning_rate": 5.069935646510831e-06, + "loss": 0.591, + "step": 17383 + }, + { + "epoch": 0.51, + "learning_rate": 5.069459924525403e-06, + "loss": 0.7157, + "step": 17384 + }, + { + "epoch": 0.51, + "learning_rate": 5.068984201911069e-06, + "loss": 0.8436, + "step": 17385 + }, + { + "epoch": 0.51, + "learning_rate": 5.06850847867214e-06, + "loss": 0.8709, + "step": 17386 + }, + { + "epoch": 0.51, + "learning_rate": 5.068032754812918e-06, + "loss": 0.5647, + "step": 17387 + }, + { + "epoch": 0.51, + "learning_rate": 5.067557030337714e-06, + "loss": 0.5712, + "step": 17388 + }, + { + "epoch": 0.51, + "learning_rate": 5.067081305250835e-06, + "loss": 0.3773, + "step": 17389 + }, + { + "epoch": 0.51, + "learning_rate": 5.066605579556585e-06, + "loss": 0.7879, + "step": 17390 + }, + { + "epoch": 0.51, + "learning_rate": 5.066129853259275e-06, + "loss": 0.7234, + "step": 17391 + }, + { + "epoch": 0.51, + "learning_rate": 5.065654126363212e-06, + "loss": 0.7585, + "step": 17392 + }, + { + "epoch": 0.51, + "learning_rate": 5.0651783988727014e-06, + "loss": 0.8371, + "step": 17393 + }, + { + "epoch": 0.51, + "learning_rate": 5.064702670792052e-06, + "loss": 0.4656, + "step": 17394 + }, + { + "epoch": 0.51, + "learning_rate": 5.064226942125569e-06, + "loss": 0.6982, + "step": 17395 + }, + { + "epoch": 0.51, + "learning_rate": 5.0637512128775636e-06, + "loss": 0.6454, + "step": 17396 + }, + { + "epoch": 0.51, + "learning_rate": 5.06327548305234e-06, + "loss": 0.7545, + "step": 17397 + }, + { + "epoch": 0.51, + "learning_rate": 5.062799752654206e-06, + "loss": 0.643, + "step": 17398 + }, + { + "epoch": 0.51, + "learning_rate": 5.06232402168747e-06, + "loss": 0.4874, + "step": 17399 + }, + { + "epoch": 0.51, + "learning_rate": 5.061848290156439e-06, + "loss": 1.1501, + "step": 17400 + }, + { + "epoch": 0.51, + "learning_rate": 5.0613725580654216e-06, + "loss": 0.871, + "step": 17401 + }, + { + "epoch": 0.51, + "learning_rate": 5.060896825418722e-06, + "loss": 0.5784, + "step": 17402 + }, + { + "epoch": 0.51, + "learning_rate": 5.06042109222065e-06, + "loss": 0.7636, + "step": 17403 + }, + { + "epoch": 0.51, + "learning_rate": 5.059945358475512e-06, + "loss": 0.8218, + "step": 17404 + }, + { + "epoch": 0.51, + "learning_rate": 5.059469624187615e-06, + "loss": 0.6002, + "step": 17405 + }, + { + "epoch": 0.51, + "learning_rate": 5.058993889361269e-06, + "loss": 0.6247, + "step": 17406 + }, + { + "epoch": 0.51, + "learning_rate": 5.058518154000779e-06, + "loss": 0.6875, + "step": 17407 + }, + { + "epoch": 0.51, + "learning_rate": 5.058042418110452e-06, + "loss": 1.0108, + "step": 17408 + }, + { + "epoch": 0.51, + "learning_rate": 5.057566681694599e-06, + "loss": 0.8795, + "step": 17409 + }, + { + "epoch": 0.51, + "learning_rate": 5.057090944757522e-06, + "loss": 0.4843, + "step": 17410 + }, + { + "epoch": 0.51, + "learning_rate": 5.056615207303532e-06, + "loss": 0.7169, + "step": 17411 + }, + { + "epoch": 0.51, + "learning_rate": 5.056139469336937e-06, + "loss": 0.8381, + "step": 17412 + }, + { + "epoch": 0.51, + "learning_rate": 5.055663730862042e-06, + "loss": 0.7924, + "step": 17413 + }, + { + "epoch": 0.51, + "learning_rate": 5.055187991883156e-06, + "loss": 0.5853, + "step": 17414 + }, + { + "epoch": 0.51, + "learning_rate": 5.054712252404585e-06, + "loss": 0.7043, + "step": 17415 + }, + { + "epoch": 0.51, + "learning_rate": 5.0542365124306385e-06, + "loss": 0.6032, + "step": 17416 + }, + { + "epoch": 0.51, + "learning_rate": 5.053760771965623e-06, + "loss": 0.6044, + "step": 17417 + }, + { + "epoch": 0.51, + "learning_rate": 5.053285031013846e-06, + "loss": 0.6284, + "step": 17418 + }, + { + "epoch": 0.51, + "learning_rate": 5.052809289579615e-06, + "loss": 0.6796, + "step": 17419 + }, + { + "epoch": 0.51, + "learning_rate": 5.052333547667236e-06, + "loss": 0.7542, + "step": 17420 + }, + { + "epoch": 0.51, + "learning_rate": 5.0518578052810184e-06, + "loss": 0.8536, + "step": 17421 + }, + { + "epoch": 0.51, + "learning_rate": 5.05138206242527e-06, + "loss": 0.5253, + "step": 17422 + }, + { + "epoch": 0.51, + "learning_rate": 5.050906319104296e-06, + "loss": 0.807, + "step": 17423 + }, + { + "epoch": 0.51, + "learning_rate": 5.050430575322407e-06, + "loss": 0.7148, + "step": 17424 + }, + { + "epoch": 0.51, + "learning_rate": 5.049954831083906e-06, + "loss": 0.5488, + "step": 17425 + }, + { + "epoch": 0.51, + "learning_rate": 5.049479086393106e-06, + "loss": 0.971, + "step": 17426 + }, + { + "epoch": 0.51, + "learning_rate": 5.049003341254309e-06, + "loss": 0.4919, + "step": 17427 + }, + { + "epoch": 0.51, + "learning_rate": 5.048527595671827e-06, + "loss": 0.7166, + "step": 17428 + }, + { + "epoch": 0.51, + "learning_rate": 5.048051849649965e-06, + "loss": 0.5664, + "step": 17429 + }, + { + "epoch": 0.51, + "learning_rate": 5.04757610319303e-06, + "loss": 0.4576, + "step": 17430 + }, + { + "epoch": 0.51, + "learning_rate": 5.047100356305334e-06, + "loss": 0.7106, + "step": 17431 + }, + { + "epoch": 0.51, + "learning_rate": 5.046624608991179e-06, + "loss": 0.5942, + "step": 17432 + }, + { + "epoch": 0.51, + "learning_rate": 5.046148861254875e-06, + "loss": 0.7322, + "step": 17433 + }, + { + "epoch": 0.51, + "learning_rate": 5.0456731131007275e-06, + "loss": 0.6422, + "step": 17434 + }, + { + "epoch": 0.51, + "learning_rate": 5.045197364533048e-06, + "loss": 0.8903, + "step": 17435 + }, + { + "epoch": 0.51, + "learning_rate": 5.044721615556142e-06, + "loss": 0.8214, + "step": 17436 + }, + { + "epoch": 0.51, + "learning_rate": 5.044245866174317e-06, + "loss": 0.8244, + "step": 17437 + }, + { + "epoch": 0.51, + "learning_rate": 5.0437701163918784e-06, + "loss": 0.7237, + "step": 17438 + }, + { + "epoch": 0.51, + "learning_rate": 5.043294366213137e-06, + "loss": 0.7682, + "step": 17439 + }, + { + "epoch": 0.51, + "learning_rate": 5.0428186156424e-06, + "loss": 0.9102, + "step": 17440 + }, + { + "epoch": 0.51, + "learning_rate": 5.042342864683974e-06, + "loss": 0.5203, + "step": 17441 + }, + { + "epoch": 0.51, + "learning_rate": 5.0418671133421645e-06, + "loss": 0.7322, + "step": 17442 + }, + { + "epoch": 0.51, + "learning_rate": 5.041391361621283e-06, + "loss": 0.7993, + "step": 17443 + }, + { + "epoch": 0.51, + "learning_rate": 5.040915609525633e-06, + "loss": 0.6959, + "step": 17444 + }, + { + "epoch": 0.51, + "learning_rate": 5.040439857059526e-06, + "loss": 0.8362, + "step": 17445 + }, + { + "epoch": 0.51, + "learning_rate": 5.039964104227268e-06, + "loss": 0.7345, + "step": 17446 + }, + { + "epoch": 0.51, + "learning_rate": 5.039488351033166e-06, + "loss": 0.5317, + "step": 17447 + }, + { + "epoch": 0.51, + "learning_rate": 5.0390125974815274e-06, + "loss": 0.6108, + "step": 17448 + }, + { + "epoch": 0.51, + "learning_rate": 5.03853684357666e-06, + "loss": 0.6803, + "step": 17449 + }, + { + "epoch": 0.51, + "learning_rate": 5.038061089322872e-06, + "loss": 0.7893, + "step": 17450 + }, + { + "epoch": 0.51, + "learning_rate": 5.037585334724472e-06, + "loss": 1.1972, + "step": 17451 + }, + { + "epoch": 0.51, + "learning_rate": 5.037109579785765e-06, + "loss": 0.5957, + "step": 17452 + }, + { + "epoch": 0.51, + "learning_rate": 5.036633824511062e-06, + "loss": 0.5884, + "step": 17453 + }, + { + "epoch": 0.51, + "learning_rate": 5.036158068904665e-06, + "loss": 0.9463, + "step": 17454 + }, + { + "epoch": 0.51, + "learning_rate": 5.035682312970886e-06, + "loss": 0.6581, + "step": 17455 + }, + { + "epoch": 0.51, + "learning_rate": 5.035206556714033e-06, + "loss": 0.7975, + "step": 17456 + }, + { + "epoch": 0.51, + "learning_rate": 5.034730800138412e-06, + "loss": 0.635, + "step": 17457 + }, + { + "epoch": 0.51, + "learning_rate": 5.0342550432483305e-06, + "loss": 0.4998, + "step": 17458 + }, + { + "epoch": 0.51, + "learning_rate": 5.0337792860480975e-06, + "loss": 0.5408, + "step": 17459 + }, + { + "epoch": 0.51, + "learning_rate": 5.033303528542019e-06, + "loss": 0.8237, + "step": 17460 + }, + { + "epoch": 0.51, + "learning_rate": 5.032827770734402e-06, + "loss": 0.7401, + "step": 17461 + }, + { + "epoch": 0.51, + "learning_rate": 5.032352012629557e-06, + "loss": 0.853, + "step": 17462 + }, + { + "epoch": 0.51, + "learning_rate": 5.031876254231788e-06, + "loss": 0.7762, + "step": 17463 + }, + { + "epoch": 0.51, + "learning_rate": 5.031400495545404e-06, + "loss": 1.0817, + "step": 17464 + }, + { + "epoch": 0.51, + "learning_rate": 5.0309247365747164e-06, + "loss": 0.918, + "step": 17465 + }, + { + "epoch": 0.51, + "learning_rate": 5.030448977324028e-06, + "loss": 0.6493, + "step": 17466 + }, + { + "epoch": 0.51, + "learning_rate": 5.0299732177976465e-06, + "loss": 0.8114, + "step": 17467 + }, + { + "epoch": 0.51, + "learning_rate": 5.029497457999882e-06, + "loss": 0.8481, + "step": 17468 + }, + { + "epoch": 0.51, + "learning_rate": 5.029021697935041e-06, + "loss": 0.8643, + "step": 17469 + }, + { + "epoch": 0.51, + "learning_rate": 5.028545937607432e-06, + "loss": 0.8036, + "step": 17470 + }, + { + "epoch": 0.51, + "learning_rate": 5.028070177021361e-06, + "loss": 0.6872, + "step": 17471 + }, + { + "epoch": 0.51, + "learning_rate": 5.027594416181139e-06, + "loss": 0.6521, + "step": 17472 + }, + { + "epoch": 0.51, + "learning_rate": 5.027118655091069e-06, + "loss": 0.7353, + "step": 17473 + }, + { + "epoch": 0.51, + "learning_rate": 5.02664289375546e-06, + "loss": 0.755, + "step": 17474 + }, + { + "epoch": 0.51, + "learning_rate": 5.026167132178622e-06, + "loss": 0.7715, + "step": 17475 + }, + { + "epoch": 0.51, + "learning_rate": 5.025691370364861e-06, + "loss": 0.7303, + "step": 17476 + }, + { + "epoch": 0.51, + "learning_rate": 5.025215608318484e-06, + "loss": 0.6566, + "step": 17477 + }, + { + "epoch": 0.51, + "learning_rate": 5.024739846043801e-06, + "loss": 0.5184, + "step": 17478 + }, + { + "epoch": 0.51, + "learning_rate": 5.024264083545117e-06, + "loss": 0.8211, + "step": 17479 + }, + { + "epoch": 0.51, + "learning_rate": 5.0237883208267415e-06, + "loss": 0.7443, + "step": 17480 + }, + { + "epoch": 0.51, + "learning_rate": 5.023312557892981e-06, + "loss": 0.5709, + "step": 17481 + }, + { + "epoch": 0.51, + "learning_rate": 5.022836794748143e-06, + "loss": 0.7361, + "step": 17482 + }, + { + "epoch": 0.51, + "learning_rate": 5.022361031396536e-06, + "loss": 0.7152, + "step": 17483 + }, + { + "epoch": 0.51, + "learning_rate": 5.021885267842468e-06, + "loss": 0.6561, + "step": 17484 + }, + { + "epoch": 0.51, + "learning_rate": 5.021409504090246e-06, + "loss": 0.6021, + "step": 17485 + }, + { + "epoch": 0.51, + "learning_rate": 5.020933740144177e-06, + "loss": 0.8977, + "step": 17486 + }, + { + "epoch": 0.51, + "learning_rate": 5.02045797600857e-06, + "loss": 0.5908, + "step": 17487 + }, + { + "epoch": 0.51, + "learning_rate": 5.019982211687732e-06, + "loss": 0.5589, + "step": 17488 + }, + { + "epoch": 0.51, + "learning_rate": 5.01950644718597e-06, + "loss": 0.8735, + "step": 17489 + }, + { + "epoch": 0.51, + "learning_rate": 5.019030682507593e-06, + "loss": 0.6545, + "step": 17490 + }, + { + "epoch": 0.51, + "learning_rate": 5.018554917656908e-06, + "loss": 0.6771, + "step": 17491 + }, + { + "epoch": 0.51, + "learning_rate": 5.018079152638223e-06, + "loss": 0.7499, + "step": 17492 + }, + { + "epoch": 0.51, + "learning_rate": 5.017603387455846e-06, + "loss": 0.8585, + "step": 17493 + }, + { + "epoch": 0.51, + "learning_rate": 5.017127622114082e-06, + "loss": 0.8101, + "step": 17494 + }, + { + "epoch": 0.51, + "learning_rate": 5.016651856617243e-06, + "loss": 0.8625, + "step": 17495 + }, + { + "epoch": 0.51, + "learning_rate": 5.016176090969633e-06, + "loss": 0.6037, + "step": 17496 + }, + { + "epoch": 0.51, + "learning_rate": 5.015700325175563e-06, + "loss": 0.8391, + "step": 17497 + }, + { + "epoch": 0.51, + "learning_rate": 5.015224559239338e-06, + "loss": 0.702, + "step": 17498 + }, + { + "epoch": 0.51, + "learning_rate": 5.014748793165266e-06, + "loss": 0.6039, + "step": 17499 + }, + { + "epoch": 0.51, + "learning_rate": 5.014273026957657e-06, + "loss": 0.7202, + "step": 17500 + }, + { + "epoch": 0.51, + "learning_rate": 5.013797260620815e-06, + "loss": 0.6612, + "step": 17501 + }, + { + "epoch": 0.51, + "learning_rate": 5.01332149415905e-06, + "loss": 0.721, + "step": 17502 + }, + { + "epoch": 0.51, + "learning_rate": 5.0128457275766686e-06, + "loss": 0.8367, + "step": 17503 + }, + { + "epoch": 0.51, + "learning_rate": 5.012369960877981e-06, + "loss": 0.6689, + "step": 17504 + }, + { + "epoch": 0.51, + "learning_rate": 5.011894194067292e-06, + "loss": 0.9962, + "step": 17505 + }, + { + "epoch": 0.51, + "learning_rate": 5.011418427148911e-06, + "loss": 0.682, + "step": 17506 + }, + { + "epoch": 0.51, + "learning_rate": 5.010942660127145e-06, + "loss": 0.6351, + "step": 17507 + }, + { + "epoch": 0.51, + "learning_rate": 5.010466893006301e-06, + "loss": 0.8467, + "step": 17508 + }, + { + "epoch": 0.51, + "learning_rate": 5.009991125790688e-06, + "loss": 0.6415, + "step": 17509 + }, + { + "epoch": 0.51, + "learning_rate": 5.009515358484613e-06, + "loss": 0.7022, + "step": 17510 + }, + { + "epoch": 0.51, + "learning_rate": 5.009039591092384e-06, + "loss": 0.8151, + "step": 17511 + }, + { + "epoch": 0.51, + "learning_rate": 5.008563823618309e-06, + "loss": 0.9149, + "step": 17512 + }, + { + "epoch": 0.51, + "learning_rate": 5.008088056066695e-06, + "loss": 0.6928, + "step": 17513 + }, + { + "epoch": 0.51, + "learning_rate": 5.0076122884418495e-06, + "loss": 0.7639, + "step": 17514 + }, + { + "epoch": 0.51, + "learning_rate": 5.007136520748082e-06, + "loss": 0.9623, + "step": 17515 + }, + { + "epoch": 0.51, + "learning_rate": 5.0066607529896985e-06, + "loss": 0.6843, + "step": 17516 + }, + { + "epoch": 0.51, + "learning_rate": 5.006184985171006e-06, + "loss": 0.559, + "step": 17517 + }, + { + "epoch": 0.51, + "learning_rate": 5.005709217296314e-06, + "loss": 0.7597, + "step": 17518 + }, + { + "epoch": 0.51, + "learning_rate": 5.005233449369929e-06, + "loss": 0.6106, + "step": 17519 + }, + { + "epoch": 0.51, + "learning_rate": 5.004757681396161e-06, + "loss": 0.825, + "step": 17520 + }, + { + "epoch": 0.51, + "learning_rate": 5.004281913379315e-06, + "loss": 0.8111, + "step": 17521 + }, + { + "epoch": 0.51, + "learning_rate": 5.0038061453237e-06, + "loss": 0.9245, + "step": 17522 + }, + { + "epoch": 0.51, + "learning_rate": 5.0033303772336206e-06, + "loss": 0.5735, + "step": 17523 + }, + { + "epoch": 0.51, + "learning_rate": 5.00285460911339e-06, + "loss": 0.5845, + "step": 17524 + }, + { + "epoch": 0.51, + "learning_rate": 5.0023788409673125e-06, + "loss": 0.6556, + "step": 17525 + }, + { + "epoch": 0.51, + "learning_rate": 5.001903072799696e-06, + "loss": 0.5522, + "step": 17526 + }, + { + "epoch": 0.51, + "learning_rate": 5.00142730461485e-06, + "loss": 0.6104, + "step": 17527 + }, + { + "epoch": 0.51, + "learning_rate": 5.0009515364170795e-06, + "loss": 0.5377, + "step": 17528 + }, + { + "epoch": 0.51, + "learning_rate": 5.000475768210694e-06, + "loss": 0.6181, + "step": 17529 + }, + { + "epoch": 0.52, + "learning_rate": 5e-06, + "loss": 0.9994, + "step": 17530 + }, + { + "epoch": 0.52, + "learning_rate": 4.999524231789308e-06, + "loss": 0.7369, + "step": 17531 + }, + { + "epoch": 0.52, + "learning_rate": 4.999048463582922e-06, + "loss": 0.9287, + "step": 17532 + }, + { + "epoch": 0.52, + "learning_rate": 4.998572695385152e-06, + "loss": 0.642, + "step": 17533 + }, + { + "epoch": 0.52, + "learning_rate": 4.998096927200306e-06, + "loss": 0.6368, + "step": 17534 + }, + { + "epoch": 0.52, + "learning_rate": 4.9976211590326874e-06, + "loss": 0.8128, + "step": 17535 + }, + { + "epoch": 0.52, + "learning_rate": 4.99714539088661e-06, + "loss": 0.5466, + "step": 17536 + }, + { + "epoch": 0.52, + "learning_rate": 4.996669622766379e-06, + "loss": 1.0204, + "step": 17537 + }, + { + "epoch": 0.52, + "learning_rate": 4.996193854676302e-06, + "loss": 0.625, + "step": 17538 + }, + { + "epoch": 0.52, + "learning_rate": 4.995718086620686e-06, + "loss": 0.5045, + "step": 17539 + }, + { + "epoch": 0.52, + "learning_rate": 4.995242318603841e-06, + "loss": 0.9091, + "step": 17540 + }, + { + "epoch": 0.52, + "learning_rate": 4.994766550630071e-06, + "loss": 0.6922, + "step": 17541 + }, + { + "epoch": 0.52, + "learning_rate": 4.9942907827036874e-06, + "loss": 0.7249, + "step": 17542 + }, + { + "epoch": 0.52, + "learning_rate": 4.993815014828996e-06, + "loss": 0.7126, + "step": 17543 + }, + { + "epoch": 0.52, + "learning_rate": 4.993339247010305e-06, + "loss": 0.5344, + "step": 17544 + }, + { + "epoch": 0.52, + "learning_rate": 4.992863479251919e-06, + "loss": 0.7863, + "step": 17545 + }, + { + "epoch": 0.52, + "learning_rate": 4.992387711558151e-06, + "loss": 0.7232, + "step": 17546 + }, + { + "epoch": 0.52, + "learning_rate": 4.991911943933306e-06, + "loss": 0.7455, + "step": 17547 + }, + { + "epoch": 0.52, + "learning_rate": 4.991436176381692e-06, + "loss": 0.7766, + "step": 17548 + }, + { + "epoch": 0.52, + "learning_rate": 4.990960408907617e-06, + "loss": 0.8246, + "step": 17549 + }, + { + "epoch": 0.52, + "learning_rate": 4.990484641515389e-06, + "loss": 0.9906, + "step": 17550 + }, + { + "epoch": 0.52, + "learning_rate": 4.990008874209314e-06, + "loss": 0.7883, + "step": 17551 + }, + { + "epoch": 0.52, + "learning_rate": 4.989533106993701e-06, + "loss": 0.526, + "step": 17552 + }, + { + "epoch": 0.52, + "learning_rate": 4.989057339872858e-06, + "loss": 0.9367, + "step": 17553 + }, + { + "epoch": 0.52, + "learning_rate": 4.9885815728510915e-06, + "loss": 0.8595, + "step": 17554 + }, + { + "epoch": 0.52, + "learning_rate": 4.988105805932708e-06, + "loss": 0.7069, + "step": 17555 + }, + { + "epoch": 0.52, + "learning_rate": 4.98763003912202e-06, + "loss": 0.8069, + "step": 17556 + }, + { + "epoch": 0.52, + "learning_rate": 4.987154272423331e-06, + "loss": 0.6515, + "step": 17557 + }, + { + "epoch": 0.52, + "learning_rate": 4.9866785058409516e-06, + "loss": 0.6841, + "step": 17558 + }, + { + "epoch": 0.52, + "learning_rate": 4.986202739379186e-06, + "loss": 0.781, + "step": 17559 + }, + { + "epoch": 0.52, + "learning_rate": 4.985726973042346e-06, + "loss": 0.582, + "step": 17560 + }, + { + "epoch": 0.52, + "learning_rate": 4.9852512068347355e-06, + "loss": 0.8048, + "step": 17561 + }, + { + "epoch": 0.52, + "learning_rate": 4.9847754407606635e-06, + "loss": 0.7492, + "step": 17562 + }, + { + "epoch": 0.52, + "learning_rate": 4.9842996748244385e-06, + "loss": 0.5973, + "step": 17563 + }, + { + "epoch": 0.52, + "learning_rate": 4.983823909030368e-06, + "loss": 0.8141, + "step": 17564 + }, + { + "epoch": 0.52, + "learning_rate": 4.983348143382757e-06, + "loss": 0.658, + "step": 17565 + }, + { + "epoch": 0.52, + "learning_rate": 4.982872377885919e-06, + "loss": 0.7898, + "step": 17566 + }, + { + "epoch": 0.52, + "learning_rate": 4.982396612544156e-06, + "loss": 0.8372, + "step": 17567 + }, + { + "epoch": 0.52, + "learning_rate": 4.981920847361778e-06, + "loss": 0.6268, + "step": 17568 + }, + { + "epoch": 0.52, + "learning_rate": 4.981445082343093e-06, + "loss": 0.6305, + "step": 17569 + }, + { + "epoch": 0.52, + "learning_rate": 4.980969317492408e-06, + "loss": 0.744, + "step": 17570 + }, + { + "epoch": 0.52, + "learning_rate": 4.980493552814032e-06, + "loss": 0.8917, + "step": 17571 + }, + { + "epoch": 0.52, + "learning_rate": 4.980017788312271e-06, + "loss": 0.4723, + "step": 17572 + }, + { + "epoch": 0.52, + "learning_rate": 4.979542023991433e-06, + "loss": 0.8011, + "step": 17573 + }, + { + "epoch": 0.52, + "learning_rate": 4.979066259855825e-06, + "loss": 0.6937, + "step": 17574 + }, + { + "epoch": 0.52, + "learning_rate": 4.978590495909755e-06, + "loss": 0.6498, + "step": 17575 + }, + { + "epoch": 0.52, + "learning_rate": 4.978114732157533e-06, + "loss": 0.7425, + "step": 17576 + }, + { + "epoch": 0.52, + "learning_rate": 4.977638968603465e-06, + "loss": 0.9979, + "step": 17577 + }, + { + "epoch": 0.52, + "learning_rate": 4.977163205251857e-06, + "loss": 0.8693, + "step": 17578 + }, + { + "epoch": 0.52, + "learning_rate": 4.97668744210702e-06, + "loss": 0.9068, + "step": 17579 + }, + { + "epoch": 0.52, + "learning_rate": 4.97621167917326e-06, + "loss": 0.7417, + "step": 17580 + }, + { + "epoch": 0.52, + "learning_rate": 4.975735916454884e-06, + "loss": 0.6779, + "step": 17581 + }, + { + "epoch": 0.52, + "learning_rate": 4.9752601539562005e-06, + "loss": 0.8241, + "step": 17582 + }, + { + "epoch": 0.52, + "learning_rate": 4.974784391681517e-06, + "loss": 0.7112, + "step": 17583 + }, + { + "epoch": 0.52, + "learning_rate": 4.974308629635141e-06, + "loss": 0.6857, + "step": 17584 + }, + { + "epoch": 0.52, + "learning_rate": 4.9738328678213785e-06, + "loss": 0.7996, + "step": 17585 + }, + { + "epoch": 0.52, + "learning_rate": 4.97335710624454e-06, + "loss": 1.0106, + "step": 17586 + }, + { + "epoch": 0.52, + "learning_rate": 4.972881344908933e-06, + "loss": 0.4451, + "step": 17587 + }, + { + "epoch": 0.52, + "learning_rate": 4.972405583818864e-06, + "loss": 0.7655, + "step": 17588 + }, + { + "epoch": 0.52, + "learning_rate": 4.97192982297864e-06, + "loss": 0.6542, + "step": 17589 + }, + { + "epoch": 0.52, + "learning_rate": 4.9714540623925695e-06, + "loss": 0.8524, + "step": 17590 + }, + { + "epoch": 0.52, + "learning_rate": 4.9709783020649604e-06, + "loss": 0.8651, + "step": 17591 + }, + { + "epoch": 0.52, + "learning_rate": 4.97050254200012e-06, + "loss": 0.7362, + "step": 17592 + }, + { + "epoch": 0.52, + "learning_rate": 4.970026782202356e-06, + "loss": 0.7309, + "step": 17593 + }, + { + "epoch": 0.52, + "learning_rate": 4.969551022675976e-06, + "loss": 0.6383, + "step": 17594 + }, + { + "epoch": 0.52, + "learning_rate": 4.969075263425284e-06, + "loss": 0.8002, + "step": 17595 + }, + { + "epoch": 0.52, + "learning_rate": 4.968599504454595e-06, + "loss": 0.7856, + "step": 17596 + }, + { + "epoch": 0.52, + "learning_rate": 4.968123745768213e-06, + "loss": 0.6761, + "step": 17597 + }, + { + "epoch": 0.52, + "learning_rate": 4.967647987370445e-06, + "loss": 0.5532, + "step": 17598 + }, + { + "epoch": 0.52, + "learning_rate": 4.9671722292655995e-06, + "loss": 0.5585, + "step": 17599 + }, + { + "epoch": 0.52, + "learning_rate": 4.966696471457984e-06, + "loss": 0.8471, + "step": 17600 + }, + { + "epoch": 0.52, + "learning_rate": 4.966220713951904e-06, + "loss": 1.0051, + "step": 17601 + }, + { + "epoch": 0.52, + "learning_rate": 4.965744956751671e-06, + "loss": 0.6603, + "step": 17602 + }, + { + "epoch": 0.52, + "learning_rate": 4.9652691998615895e-06, + "loss": 0.6842, + "step": 17603 + }, + { + "epoch": 0.52, + "learning_rate": 4.964793443285967e-06, + "loss": 0.7812, + "step": 17604 + }, + { + "epoch": 0.52, + "learning_rate": 4.964317687029114e-06, + "loss": 0.7202, + "step": 17605 + }, + { + "epoch": 0.52, + "learning_rate": 4.963841931095336e-06, + "loss": 0.3629, + "step": 17606 + }, + { + "epoch": 0.52, + "learning_rate": 4.963366175488941e-06, + "loss": 0.5877, + "step": 17607 + }, + { + "epoch": 0.52, + "learning_rate": 4.962890420214236e-06, + "loss": 0.6705, + "step": 17608 + }, + { + "epoch": 0.52, + "learning_rate": 4.96241466527553e-06, + "loss": 0.8896, + "step": 17609 + }, + { + "epoch": 0.52, + "learning_rate": 4.961938910677129e-06, + "loss": 0.7057, + "step": 17610 + }, + { + "epoch": 0.52, + "learning_rate": 4.961463156423342e-06, + "loss": 0.6389, + "step": 17611 + }, + { + "epoch": 0.52, + "learning_rate": 4.960987402518475e-06, + "loss": 0.7352, + "step": 17612 + }, + { + "epoch": 0.52, + "learning_rate": 4.960511648966837e-06, + "loss": 0.5314, + "step": 17613 + }, + { + "epoch": 0.52, + "learning_rate": 4.960035895772733e-06, + "loss": 0.6335, + "step": 17614 + }, + { + "epoch": 0.52, + "learning_rate": 4.959560142940475e-06, + "loss": 0.7131, + "step": 17615 + }, + { + "epoch": 0.52, + "learning_rate": 4.959084390474367e-06, + "loss": 0.8269, + "step": 17616 + }, + { + "epoch": 0.52, + "learning_rate": 4.958608638378719e-06, + "loss": 0.648, + "step": 17617 + }, + { + "epoch": 0.52, + "learning_rate": 4.958132886657836e-06, + "loss": 0.6351, + "step": 17618 + }, + { + "epoch": 0.52, + "learning_rate": 4.957657135316029e-06, + "loss": 0.8316, + "step": 17619 + }, + { + "epoch": 0.52, + "learning_rate": 4.957181384357602e-06, + "loss": 0.7021, + "step": 17620 + }, + { + "epoch": 0.52, + "learning_rate": 4.956705633786864e-06, + "loss": 0.6119, + "step": 17621 + }, + { + "epoch": 0.52, + "learning_rate": 4.956229883608122e-06, + "loss": 0.5814, + "step": 17622 + }, + { + "epoch": 0.52, + "learning_rate": 4.955754133825686e-06, + "loss": 0.7711, + "step": 17623 + }, + { + "epoch": 0.52, + "learning_rate": 4.955278384443858e-06, + "loss": 0.6619, + "step": 17624 + }, + { + "epoch": 0.52, + "learning_rate": 4.954802635466952e-06, + "loss": 0.6174, + "step": 17625 + }, + { + "epoch": 0.52, + "learning_rate": 4.9543268868992725e-06, + "loss": 0.6987, + "step": 17626 + }, + { + "epoch": 0.52, + "learning_rate": 4.953851138745127e-06, + "loss": 0.8718, + "step": 17627 + }, + { + "epoch": 0.52, + "learning_rate": 4.953375391008823e-06, + "loss": 0.6922, + "step": 17628 + }, + { + "epoch": 0.52, + "learning_rate": 4.952899643694669e-06, + "loss": 0.6085, + "step": 17629 + }, + { + "epoch": 0.52, + "learning_rate": 4.952423896806971e-06, + "loss": 0.7272, + "step": 17630 + }, + { + "epoch": 0.52, + "learning_rate": 4.9519481503500376e-06, + "loss": 1.0276, + "step": 17631 + }, + { + "epoch": 0.52, + "learning_rate": 4.9514724043281755e-06, + "loss": 0.5712, + "step": 17632 + }, + { + "epoch": 0.52, + "learning_rate": 4.950996658745693e-06, + "loss": 0.7296, + "step": 17633 + }, + { + "epoch": 0.52, + "learning_rate": 4.950520913606895e-06, + "loss": 0.6719, + "step": 17634 + }, + { + "epoch": 0.52, + "learning_rate": 4.9500451689160945e-06, + "loss": 0.7111, + "step": 17635 + }, + { + "epoch": 0.52, + "learning_rate": 4.949569424677595e-06, + "loss": 0.7629, + "step": 17636 + }, + { + "epoch": 0.52, + "learning_rate": 4.949093680895705e-06, + "loss": 0.8906, + "step": 17637 + }, + { + "epoch": 0.52, + "learning_rate": 4.948617937574732e-06, + "loss": 0.8215, + "step": 17638 + }, + { + "epoch": 0.52, + "learning_rate": 4.948142194718982e-06, + "loss": 0.863, + "step": 17639 + }, + { + "epoch": 0.52, + "learning_rate": 4.947666452332765e-06, + "loss": 0.7274, + "step": 17640 + }, + { + "epoch": 0.52, + "learning_rate": 4.947190710420387e-06, + "loss": 0.8312, + "step": 17641 + }, + { + "epoch": 0.52, + "learning_rate": 4.946714968986156e-06, + "loss": 1.0034, + "step": 17642 + }, + { + "epoch": 0.52, + "learning_rate": 4.946239228034378e-06, + "loss": 0.778, + "step": 17643 + }, + { + "epoch": 0.52, + "learning_rate": 4.9457634875693615e-06, + "loss": 0.5377, + "step": 17644 + }, + { + "epoch": 0.52, + "learning_rate": 4.9452877475954155e-06, + "loss": 0.7625, + "step": 17645 + }, + { + "epoch": 0.52, + "learning_rate": 4.944812008116846e-06, + "loss": 0.8428, + "step": 17646 + }, + { + "epoch": 0.52, + "learning_rate": 4.944336269137959e-06, + "loss": 0.635, + "step": 17647 + }, + { + "epoch": 0.52, + "learning_rate": 4.943860530663065e-06, + "loss": 0.5814, + "step": 17648 + }, + { + "epoch": 0.52, + "learning_rate": 4.943384792696469e-06, + "loss": 0.6645, + "step": 17649 + }, + { + "epoch": 0.52, + "learning_rate": 4.942909055242479e-06, + "loss": 0.8118, + "step": 17650 + }, + { + "epoch": 0.52, + "learning_rate": 4.942433318305404e-06, + "loss": 0.6399, + "step": 17651 + }, + { + "epoch": 0.52, + "learning_rate": 4.941957581889549e-06, + "loss": 0.7336, + "step": 17652 + }, + { + "epoch": 0.52, + "learning_rate": 4.941481845999224e-06, + "loss": 0.9777, + "step": 17653 + }, + { + "epoch": 0.52, + "learning_rate": 4.941006110638732e-06, + "loss": 0.671, + "step": 17654 + }, + { + "epoch": 0.52, + "learning_rate": 4.940530375812384e-06, + "loss": 0.548, + "step": 17655 + }, + { + "epoch": 0.52, + "learning_rate": 4.940054641524489e-06, + "loss": 0.9165, + "step": 17656 + }, + { + "epoch": 0.52, + "learning_rate": 4.9395789077793516e-06, + "loss": 0.7474, + "step": 17657 + }, + { + "epoch": 0.52, + "learning_rate": 4.9391031745812795e-06, + "loss": 0.7256, + "step": 17658 + }, + { + "epoch": 0.52, + "learning_rate": 4.93862744193458e-06, + "loss": 0.7841, + "step": 17659 + }, + { + "epoch": 0.52, + "learning_rate": 4.9381517098435614e-06, + "loss": 0.8062, + "step": 17660 + }, + { + "epoch": 0.52, + "learning_rate": 4.9376759783125315e-06, + "loss": 0.6372, + "step": 17661 + }, + { + "epoch": 0.52, + "learning_rate": 4.937200247345795e-06, + "loss": 0.6787, + "step": 17662 + }, + { + "epoch": 0.52, + "learning_rate": 4.9367245169476606e-06, + "loss": 0.8769, + "step": 17663 + }, + { + "epoch": 0.52, + "learning_rate": 4.936248787122437e-06, + "loss": 0.5543, + "step": 17664 + }, + { + "epoch": 0.52, + "learning_rate": 4.935773057874431e-06, + "loss": 0.8452, + "step": 17665 + }, + { + "epoch": 0.52, + "learning_rate": 4.93529732920795e-06, + "loss": 0.9315, + "step": 17666 + }, + { + "epoch": 0.52, + "learning_rate": 4.934821601127299e-06, + "loss": 0.6783, + "step": 17667 + }, + { + "epoch": 0.52, + "learning_rate": 4.93434587363679e-06, + "loss": 0.6138, + "step": 17668 + }, + { + "epoch": 0.52, + "learning_rate": 4.9338701467407255e-06, + "loss": 0.697, + "step": 17669 + }, + { + "epoch": 0.52, + "learning_rate": 4.933394420443416e-06, + "loss": 0.5675, + "step": 17670 + }, + { + "epoch": 0.52, + "learning_rate": 4.932918694749168e-06, + "loss": 0.5928, + "step": 17671 + }, + { + "epoch": 0.52, + "learning_rate": 4.932442969662287e-06, + "loss": 0.7867, + "step": 17672 + }, + { + "epoch": 0.52, + "learning_rate": 4.931967245187082e-06, + "loss": 0.7638, + "step": 17673 + }, + { + "epoch": 0.52, + "learning_rate": 4.93149152132786e-06, + "loss": 0.6094, + "step": 17674 + }, + { + "epoch": 0.52, + "learning_rate": 4.931015798088931e-06, + "loss": 0.8709, + "step": 17675 + }, + { + "epoch": 0.52, + "learning_rate": 4.930540075474599e-06, + "loss": 0.6233, + "step": 17676 + }, + { + "epoch": 0.52, + "learning_rate": 4.930064353489171e-06, + "loss": 0.7745, + "step": 17677 + }, + { + "epoch": 0.52, + "learning_rate": 4.929588632136956e-06, + "loss": 0.7299, + "step": 17678 + }, + { + "epoch": 0.52, + "learning_rate": 4.929112911422261e-06, + "loss": 0.8204, + "step": 17679 + }, + { + "epoch": 0.52, + "learning_rate": 4.928637191349393e-06, + "loss": 0.9112, + "step": 17680 + }, + { + "epoch": 0.52, + "learning_rate": 4.928161471922659e-06, + "loss": 0.7125, + "step": 17681 + }, + { + "epoch": 0.52, + "learning_rate": 4.927685753146367e-06, + "loss": 0.6419, + "step": 17682 + }, + { + "epoch": 0.52, + "learning_rate": 4.9272100350248216e-06, + "loss": 0.9526, + "step": 17683 + }, + { + "epoch": 0.52, + "learning_rate": 4.926734317562335e-06, + "loss": 0.795, + "step": 17684 + }, + { + "epoch": 0.52, + "learning_rate": 4.926258600763211e-06, + "loss": 0.7267, + "step": 17685 + }, + { + "epoch": 0.52, + "learning_rate": 4.925782884631757e-06, + "loss": 0.6338, + "step": 17686 + }, + { + "epoch": 0.52, + "learning_rate": 4.925307169172281e-06, + "loss": 0.8145, + "step": 17687 + }, + { + "epoch": 0.52, + "learning_rate": 4.92483145438909e-06, + "loss": 0.8611, + "step": 17688 + }, + { + "epoch": 0.52, + "learning_rate": 4.924355740286491e-06, + "loss": 0.7393, + "step": 17689 + }, + { + "epoch": 0.52, + "learning_rate": 4.923880026868792e-06, + "loss": 0.6556, + "step": 17690 + }, + { + "epoch": 0.52, + "learning_rate": 4.9234043141402995e-06, + "loss": 0.8556, + "step": 17691 + }, + { + "epoch": 0.52, + "learning_rate": 4.922928602105321e-06, + "loss": 0.5506, + "step": 17692 + }, + { + "epoch": 0.52, + "learning_rate": 4.9224528907681605e-06, + "loss": 0.8737, + "step": 17693 + }, + { + "epoch": 0.52, + "learning_rate": 4.921977180133131e-06, + "loss": 0.8806, + "step": 17694 + }, + { + "epoch": 0.52, + "learning_rate": 4.921501470204537e-06, + "loss": 0.6517, + "step": 17695 + }, + { + "epoch": 0.52, + "learning_rate": 4.921025760986686e-06, + "loss": 0.7617, + "step": 17696 + }, + { + "epoch": 0.52, + "learning_rate": 4.920550052483884e-06, + "loss": 1.0393, + "step": 17697 + }, + { + "epoch": 0.52, + "learning_rate": 4.920074344700439e-06, + "loss": 0.7411, + "step": 17698 + }, + { + "epoch": 0.52, + "learning_rate": 4.919598637640659e-06, + "loss": 0.6662, + "step": 17699 + }, + { + "epoch": 0.52, + "learning_rate": 4.91912293130885e-06, + "loss": 0.6704, + "step": 17700 + }, + { + "epoch": 0.52, + "learning_rate": 4.918647225709318e-06, + "loss": 0.777, + "step": 17701 + }, + { + "epoch": 0.52, + "learning_rate": 4.918171520846374e-06, + "loss": 0.6808, + "step": 17702 + }, + { + "epoch": 0.52, + "learning_rate": 4.91769581672432e-06, + "loss": 0.7745, + "step": 17703 + }, + { + "epoch": 0.52, + "learning_rate": 4.917220113347467e-06, + "loss": 0.6943, + "step": 17704 + }, + { + "epoch": 0.52, + "learning_rate": 4.916744410720121e-06, + "loss": 0.8625, + "step": 17705 + }, + { + "epoch": 0.52, + "learning_rate": 4.916268708846589e-06, + "loss": 0.7235, + "step": 17706 + }, + { + "epoch": 0.52, + "learning_rate": 4.9157930077311785e-06, + "loss": 0.6889, + "step": 17707 + }, + { + "epoch": 0.52, + "learning_rate": 4.915317307378196e-06, + "loss": 0.8314, + "step": 17708 + }, + { + "epoch": 0.52, + "learning_rate": 4.914841607791949e-06, + "loss": 0.6486, + "step": 17709 + }, + { + "epoch": 0.52, + "learning_rate": 4.9143659089767445e-06, + "loss": 0.8523, + "step": 17710 + }, + { + "epoch": 0.52, + "learning_rate": 4.91389021093689e-06, + "loss": 0.6404, + "step": 17711 + }, + { + "epoch": 0.52, + "learning_rate": 4.913414513676691e-06, + "loss": 0.7321, + "step": 17712 + }, + { + "epoch": 0.52, + "learning_rate": 4.912938817200454e-06, + "loss": 0.5019, + "step": 17713 + }, + { + "epoch": 0.52, + "learning_rate": 4.912463121512491e-06, + "loss": 0.859, + "step": 17714 + }, + { + "epoch": 0.52, + "learning_rate": 4.911987426617104e-06, + "loss": 0.7372, + "step": 17715 + }, + { + "epoch": 0.52, + "learning_rate": 4.911511732518603e-06, + "loss": 0.7412, + "step": 17716 + }, + { + "epoch": 0.52, + "learning_rate": 4.911036039221293e-06, + "loss": 0.6237, + "step": 17717 + }, + { + "epoch": 0.52, + "learning_rate": 4.9105603467294825e-06, + "loss": 0.6573, + "step": 17718 + }, + { + "epoch": 0.52, + "learning_rate": 4.910084655047478e-06, + "loss": 0.7518, + "step": 17719 + }, + { + "epoch": 0.52, + "learning_rate": 4.909608964179586e-06, + "loss": 0.9253, + "step": 17720 + }, + { + "epoch": 0.52, + "learning_rate": 4.909133274130114e-06, + "loss": 0.7204, + "step": 17721 + }, + { + "epoch": 0.52, + "learning_rate": 4.908657584903369e-06, + "loss": 0.8009, + "step": 17722 + }, + { + "epoch": 0.52, + "learning_rate": 4.908181896503657e-06, + "loss": 0.5154, + "step": 17723 + }, + { + "epoch": 0.52, + "learning_rate": 4.907706208935287e-06, + "loss": 0.8507, + "step": 17724 + }, + { + "epoch": 0.52, + "learning_rate": 4.907230522202564e-06, + "loss": 0.7237, + "step": 17725 + }, + { + "epoch": 0.52, + "learning_rate": 4.9067548363097975e-06, + "loss": 0.8096, + "step": 17726 + }, + { + "epoch": 0.52, + "learning_rate": 4.906279151261291e-06, + "loss": 0.5973, + "step": 17727 + }, + { + "epoch": 0.52, + "learning_rate": 4.9058034670613545e-06, + "loss": 0.9281, + "step": 17728 + }, + { + "epoch": 0.52, + "learning_rate": 4.9053277837142935e-06, + "loss": 0.8005, + "step": 17729 + }, + { + "epoch": 0.52, + "learning_rate": 4.904852101224415e-06, + "loss": 0.5797, + "step": 17730 + }, + { + "epoch": 0.52, + "learning_rate": 4.904376419596026e-06, + "loss": 0.5774, + "step": 17731 + }, + { + "epoch": 0.52, + "learning_rate": 4.903900738833432e-06, + "loss": 0.7047, + "step": 17732 + }, + { + "epoch": 0.52, + "learning_rate": 4.903425058940943e-06, + "loss": 0.7875, + "step": 17733 + }, + { + "epoch": 0.52, + "learning_rate": 4.902949379922864e-06, + "loss": 0.7585, + "step": 17734 + }, + { + "epoch": 0.52, + "learning_rate": 4.902473701783502e-06, + "loss": 0.6269, + "step": 17735 + }, + { + "epoch": 0.52, + "learning_rate": 4.901998024527166e-06, + "loss": 0.5311, + "step": 17736 + }, + { + "epoch": 0.52, + "learning_rate": 4.9015223481581594e-06, + "loss": 0.5608, + "step": 17737 + }, + { + "epoch": 0.52, + "learning_rate": 4.901046672680791e-06, + "loss": 0.4216, + "step": 17738 + }, + { + "epoch": 0.52, + "learning_rate": 4.900570998099367e-06, + "loss": 0.7928, + "step": 17739 + }, + { + "epoch": 0.52, + "learning_rate": 4.900095324418196e-06, + "loss": 0.7867, + "step": 17740 + }, + { + "epoch": 0.52, + "learning_rate": 4.8996196516415824e-06, + "loss": 0.8616, + "step": 17741 + }, + { + "epoch": 0.52, + "learning_rate": 4.899143979773833e-06, + "loss": 0.7197, + "step": 17742 + }, + { + "epoch": 0.52, + "learning_rate": 4.898668308819257e-06, + "loss": 0.6611, + "step": 17743 + }, + { + "epoch": 0.52, + "learning_rate": 4.89819263878216e-06, + "loss": 0.7005, + "step": 17744 + }, + { + "epoch": 0.52, + "learning_rate": 4.8977169696668485e-06, + "loss": 0.6836, + "step": 17745 + }, + { + "epoch": 0.52, + "learning_rate": 4.89724130147763e-06, + "loss": 0.6999, + "step": 17746 + }, + { + "epoch": 0.52, + "learning_rate": 4.896765634218811e-06, + "loss": 0.8811, + "step": 17747 + }, + { + "epoch": 0.52, + "learning_rate": 4.896289967894699e-06, + "loss": 0.7814, + "step": 17748 + }, + { + "epoch": 0.52, + "learning_rate": 4.895814302509598e-06, + "loss": 0.7711, + "step": 17749 + }, + { + "epoch": 0.52, + "learning_rate": 4.895338638067818e-06, + "loss": 0.8388, + "step": 17750 + }, + { + "epoch": 0.52, + "learning_rate": 4.894862974573664e-06, + "loss": 0.5437, + "step": 17751 + }, + { + "epoch": 0.52, + "learning_rate": 4.894387312031442e-06, + "loss": 0.6723, + "step": 17752 + }, + { + "epoch": 0.52, + "learning_rate": 4.893911650445462e-06, + "loss": 0.8297, + "step": 17753 + }, + { + "epoch": 0.52, + "learning_rate": 4.893435989820028e-06, + "loss": 0.8552, + "step": 17754 + }, + { + "epoch": 0.52, + "learning_rate": 4.892960330159448e-06, + "loss": 0.7319, + "step": 17755 + }, + { + "epoch": 0.52, + "learning_rate": 4.892484671468028e-06, + "loss": 0.8988, + "step": 17756 + }, + { + "epoch": 0.52, + "learning_rate": 4.892009013750076e-06, + "loss": 0.8907, + "step": 17757 + }, + { + "epoch": 0.52, + "learning_rate": 4.891533357009897e-06, + "loss": 0.6879, + "step": 17758 + }, + { + "epoch": 0.52, + "learning_rate": 4.891057701251798e-06, + "loss": 0.6347, + "step": 17759 + }, + { + "epoch": 0.52, + "learning_rate": 4.890582046480086e-06, + "loss": 1.0942, + "step": 17760 + }, + { + "epoch": 0.52, + "learning_rate": 4.8901063926990685e-06, + "loss": 0.7184, + "step": 17761 + }, + { + "epoch": 0.52, + "learning_rate": 4.88963073991305e-06, + "loss": 0.789, + "step": 17762 + }, + { + "epoch": 0.52, + "learning_rate": 4.8891550881263395e-06, + "loss": 0.6977, + "step": 17763 + }, + { + "epoch": 0.52, + "learning_rate": 4.8886794373432425e-06, + "loss": 0.8255, + "step": 17764 + }, + { + "epoch": 0.52, + "learning_rate": 4.888203787568066e-06, + "loss": 0.8784, + "step": 17765 + }, + { + "epoch": 0.52, + "learning_rate": 4.8877281388051175e-06, + "loss": 0.8054, + "step": 17766 + }, + { + "epoch": 0.52, + "learning_rate": 4.887252491058701e-06, + "loss": 0.6822, + "step": 17767 + }, + { + "epoch": 0.52, + "learning_rate": 4.886776844333127e-06, + "loss": 0.5787, + "step": 17768 + }, + { + "epoch": 0.52, + "learning_rate": 4.886301198632698e-06, + "loss": 0.7057, + "step": 17769 + }, + { + "epoch": 0.52, + "learning_rate": 4.885825553961723e-06, + "loss": 0.835, + "step": 17770 + }, + { + "epoch": 0.52, + "learning_rate": 4.885349910324508e-06, + "loss": 0.7743, + "step": 17771 + }, + { + "epoch": 0.52, + "learning_rate": 4.884874267725357e-06, + "loss": 0.771, + "step": 17772 + }, + { + "epoch": 0.52, + "learning_rate": 4.8843986261685825e-06, + "loss": 0.8326, + "step": 17773 + }, + { + "epoch": 0.52, + "learning_rate": 4.883922985658487e-06, + "loss": 0.6301, + "step": 17774 + }, + { + "epoch": 0.52, + "learning_rate": 4.883447346199378e-06, + "loss": 0.7971, + "step": 17775 + }, + { + "epoch": 0.52, + "learning_rate": 4.882971707795562e-06, + "loss": 0.845, + "step": 17776 + }, + { + "epoch": 0.52, + "learning_rate": 4.882496070451345e-06, + "loss": 0.6188, + "step": 17777 + }, + { + "epoch": 0.52, + "learning_rate": 4.882020434171034e-06, + "loss": 0.7386, + "step": 17778 + }, + { + "epoch": 0.52, + "learning_rate": 4.881544798958935e-06, + "loss": 0.8035, + "step": 17779 + }, + { + "epoch": 0.52, + "learning_rate": 4.881069164819356e-06, + "loss": 0.5486, + "step": 17780 + }, + { + "epoch": 0.52, + "learning_rate": 4.880593531756602e-06, + "loss": 0.7293, + "step": 17781 + }, + { + "epoch": 0.52, + "learning_rate": 4.880117899774979e-06, + "loss": 0.76, + "step": 17782 + }, + { + "epoch": 0.52, + "learning_rate": 4.879642268878794e-06, + "loss": 0.6286, + "step": 17783 + }, + { + "epoch": 0.52, + "learning_rate": 4.879166639072356e-06, + "loss": 0.8484, + "step": 17784 + }, + { + "epoch": 0.52, + "learning_rate": 4.8786910103599684e-06, + "loss": 0.8258, + "step": 17785 + }, + { + "epoch": 0.52, + "learning_rate": 4.878215382745938e-06, + "loss": 0.7593, + "step": 17786 + }, + { + "epoch": 0.52, + "learning_rate": 4.877739756234573e-06, + "loss": 0.9085, + "step": 17787 + }, + { + "epoch": 0.52, + "learning_rate": 4.877264130830178e-06, + "loss": 0.6707, + "step": 17788 + }, + { + "epoch": 0.52, + "learning_rate": 4.87678850653706e-06, + "loss": 0.9788, + "step": 17789 + }, + { + "epoch": 0.52, + "learning_rate": 4.8763128833595245e-06, + "loss": 0.578, + "step": 17790 + }, + { + "epoch": 0.52, + "learning_rate": 4.87583726130188e-06, + "loss": 0.9049, + "step": 17791 + }, + { + "epoch": 0.52, + "learning_rate": 4.875361640368429e-06, + "loss": 0.5545, + "step": 17792 + }, + { + "epoch": 0.52, + "learning_rate": 4.874886020563484e-06, + "loss": 0.6792, + "step": 17793 + }, + { + "epoch": 0.52, + "learning_rate": 4.8744104018913465e-06, + "loss": 0.6949, + "step": 17794 + }, + { + "epoch": 0.52, + "learning_rate": 4.873934784356325e-06, + "loss": 0.75, + "step": 17795 + }, + { + "epoch": 0.52, + "learning_rate": 4.873459167962724e-06, + "loss": 0.7271, + "step": 17796 + }, + { + "epoch": 0.52, + "learning_rate": 4.872983552714852e-06, + "loss": 0.6664, + "step": 17797 + }, + { + "epoch": 0.52, + "learning_rate": 4.8725079386170145e-06, + "loss": 0.9439, + "step": 17798 + }, + { + "epoch": 0.52, + "learning_rate": 4.872032325673517e-06, + "loss": 0.8508, + "step": 17799 + }, + { + "epoch": 0.52, + "learning_rate": 4.871556713888666e-06, + "loss": 0.7059, + "step": 17800 + }, + { + "epoch": 0.52, + "learning_rate": 4.871081103266768e-06, + "loss": 0.6982, + "step": 17801 + }, + { + "epoch": 0.52, + "learning_rate": 4.870605493812131e-06, + "loss": 0.7146, + "step": 17802 + }, + { + "epoch": 0.52, + "learning_rate": 4.870129885529059e-06, + "loss": 0.966, + "step": 17803 + }, + { + "epoch": 0.52, + "learning_rate": 4.869654278421859e-06, + "loss": 0.6666, + "step": 17804 + }, + { + "epoch": 0.52, + "learning_rate": 4.869178672494838e-06, + "loss": 0.7172, + "step": 17805 + }, + { + "epoch": 0.52, + "learning_rate": 4.868703067752301e-06, + "loss": 0.6252, + "step": 17806 + }, + { + "epoch": 0.52, + "learning_rate": 4.868227464198555e-06, + "loss": 1.0024, + "step": 17807 + }, + { + "epoch": 0.52, + "learning_rate": 4.867751861837905e-06, + "loss": 0.7301, + "step": 17808 + }, + { + "epoch": 0.52, + "learning_rate": 4.867276260674659e-06, + "loss": 0.8366, + "step": 17809 + }, + { + "epoch": 0.52, + "learning_rate": 4.866800660713122e-06, + "loss": 0.6143, + "step": 17810 + }, + { + "epoch": 0.52, + "learning_rate": 4.866325061957598e-06, + "loss": 0.8351, + "step": 17811 + }, + { + "epoch": 0.52, + "learning_rate": 4.865849464412399e-06, + "loss": 0.8935, + "step": 17812 + }, + { + "epoch": 0.52, + "learning_rate": 4.865373868081827e-06, + "loss": 0.711, + "step": 17813 + }, + { + "epoch": 0.52, + "learning_rate": 4.864898272970189e-06, + "loss": 0.6108, + "step": 17814 + }, + { + "epoch": 0.52, + "learning_rate": 4.864422679081792e-06, + "loss": 0.686, + "step": 17815 + }, + { + "epoch": 0.52, + "learning_rate": 4.863947086420941e-06, + "loss": 0.6883, + "step": 17816 + }, + { + "epoch": 0.52, + "learning_rate": 4.863471494991942e-06, + "loss": 1.0795, + "step": 17817 + }, + { + "epoch": 0.52, + "learning_rate": 4.862995904799101e-06, + "loss": 0.6237, + "step": 17818 + }, + { + "epoch": 0.52, + "learning_rate": 4.862520315846726e-06, + "loss": 0.9637, + "step": 17819 + }, + { + "epoch": 0.52, + "learning_rate": 4.862044728139122e-06, + "loss": 0.709, + "step": 17820 + }, + { + "epoch": 0.52, + "learning_rate": 4.861569141680592e-06, + "loss": 0.8571, + "step": 17821 + }, + { + "epoch": 0.52, + "learning_rate": 4.861093556475446e-06, + "loss": 0.9339, + "step": 17822 + }, + { + "epoch": 0.52, + "learning_rate": 4.8606179725279904e-06, + "loss": 0.8723, + "step": 17823 + }, + { + "epoch": 0.52, + "learning_rate": 4.860142389842529e-06, + "loss": 0.5477, + "step": 17824 + }, + { + "epoch": 0.52, + "learning_rate": 4.859666808423368e-06, + "loss": 0.5766, + "step": 17825 + }, + { + "epoch": 0.52, + "learning_rate": 4.859191228274815e-06, + "loss": 0.9353, + "step": 17826 + }, + { + "epoch": 0.52, + "learning_rate": 4.8587156494011735e-06, + "loss": 0.6962, + "step": 17827 + }, + { + "epoch": 0.52, + "learning_rate": 4.858240071806752e-06, + "loss": 1.0482, + "step": 17828 + }, + { + "epoch": 0.52, + "learning_rate": 4.857764495495856e-06, + "loss": 0.7626, + "step": 17829 + }, + { + "epoch": 0.52, + "learning_rate": 4.857288920472791e-06, + "loss": 0.6117, + "step": 17830 + }, + { + "epoch": 0.52, + "learning_rate": 4.856813346741859e-06, + "loss": 0.5723, + "step": 17831 + }, + { + "epoch": 0.52, + "learning_rate": 4.8563377743073734e-06, + "loss": 0.5141, + "step": 17832 + }, + { + "epoch": 0.52, + "learning_rate": 4.855862203173636e-06, + "loss": 0.799, + "step": 17833 + }, + { + "epoch": 0.52, + "learning_rate": 4.8553866333449536e-06, + "loss": 0.7947, + "step": 17834 + }, + { + "epoch": 0.52, + "learning_rate": 4.854911064825631e-06, + "loss": 0.7757, + "step": 17835 + }, + { + "epoch": 0.52, + "learning_rate": 4.8544354976199756e-06, + "loss": 0.6853, + "step": 17836 + }, + { + "epoch": 0.52, + "learning_rate": 4.853959931732293e-06, + "loss": 0.9356, + "step": 17837 + }, + { + "epoch": 0.52, + "learning_rate": 4.853484367166888e-06, + "loss": 0.883, + "step": 17838 + }, + { + "epoch": 0.52, + "learning_rate": 4.8530088039280675e-06, + "loss": 0.5541, + "step": 17839 + }, + { + "epoch": 0.52, + "learning_rate": 4.852533242020136e-06, + "loss": 0.7908, + "step": 17840 + }, + { + "epoch": 0.52, + "learning_rate": 4.8520576814474e-06, + "loss": 0.7148, + "step": 17841 + }, + { + "epoch": 0.52, + "learning_rate": 4.851582122214167e-06, + "loss": 0.4523, + "step": 17842 + }, + { + "epoch": 0.52, + "learning_rate": 4.851106564324741e-06, + "loss": 0.6891, + "step": 17843 + }, + { + "epoch": 0.52, + "learning_rate": 4.8506310077834285e-06, + "loss": 0.6779, + "step": 17844 + }, + { + "epoch": 0.52, + "learning_rate": 4.850155452594536e-06, + "loss": 0.7207, + "step": 17845 + }, + { + "epoch": 0.52, + "learning_rate": 4.849679898762368e-06, + "loss": 0.8544, + "step": 17846 + }, + { + "epoch": 0.52, + "learning_rate": 4.84920434629123e-06, + "loss": 0.5394, + "step": 17847 + }, + { + "epoch": 0.52, + "learning_rate": 4.8487287951854284e-06, + "loss": 0.5922, + "step": 17848 + }, + { + "epoch": 0.52, + "learning_rate": 4.848253245449268e-06, + "loss": 0.6891, + "step": 17849 + }, + { + "epoch": 0.52, + "learning_rate": 4.8477776970870575e-06, + "loss": 0.7085, + "step": 17850 + }, + { + "epoch": 0.52, + "learning_rate": 4.847302150103097e-06, + "loss": 0.8506, + "step": 17851 + }, + { + "epoch": 0.52, + "learning_rate": 4.846826604501698e-06, + "loss": 0.6624, + "step": 17852 + }, + { + "epoch": 0.52, + "learning_rate": 4.846351060287164e-06, + "loss": 0.6551, + "step": 17853 + }, + { + "epoch": 0.52, + "learning_rate": 4.845875517463801e-06, + "loss": 0.8014, + "step": 17854 + }, + { + "epoch": 0.52, + "learning_rate": 4.845399976035914e-06, + "loss": 0.7392, + "step": 17855 + }, + { + "epoch": 0.52, + "learning_rate": 4.84492443600781e-06, + "loss": 0.6976, + "step": 17856 + }, + { + "epoch": 0.52, + "learning_rate": 4.844448897383792e-06, + "loss": 0.7035, + "step": 17857 + }, + { + "epoch": 0.52, + "learning_rate": 4.843973360168168e-06, + "loss": 0.8147, + "step": 17858 + }, + { + "epoch": 0.52, + "learning_rate": 4.843497824365242e-06, + "loss": 0.6593, + "step": 17859 + }, + { + "epoch": 0.52, + "learning_rate": 4.843022289979319e-06, + "loss": 0.6712, + "step": 17860 + }, + { + "epoch": 0.52, + "learning_rate": 4.842546757014709e-06, + "loss": 0.5557, + "step": 17861 + }, + { + "epoch": 0.52, + "learning_rate": 4.842071225475714e-06, + "loss": 0.6793, + "step": 17862 + }, + { + "epoch": 0.52, + "learning_rate": 4.84159569536664e-06, + "loss": 0.6926, + "step": 17863 + }, + { + "epoch": 0.52, + "learning_rate": 4.841120166691792e-06, + "loss": 0.7543, + "step": 17864 + }, + { + "epoch": 0.52, + "learning_rate": 4.840644639455477e-06, + "loss": 0.7978, + "step": 17865 + }, + { + "epoch": 0.52, + "learning_rate": 4.840169113662e-06, + "loss": 0.6118, + "step": 17866 + }, + { + "epoch": 0.52, + "learning_rate": 4.839693589315666e-06, + "loss": 0.8346, + "step": 17867 + }, + { + "epoch": 0.52, + "learning_rate": 4.839218066420781e-06, + "loss": 0.6184, + "step": 17868 + }, + { + "epoch": 0.52, + "learning_rate": 4.83874254498165e-06, + "loss": 0.9138, + "step": 17869 + }, + { + "epoch": 0.52, + "learning_rate": 4.838267025002578e-06, + "loss": 0.6526, + "step": 17870 + }, + { + "epoch": 0.53, + "learning_rate": 4.837791506487872e-06, + "loss": 0.9534, + "step": 17871 + }, + { + "epoch": 0.53, + "learning_rate": 4.837315989441837e-06, + "loss": 1.0928, + "step": 17872 + }, + { + "epoch": 0.53, + "learning_rate": 4.836840473868778e-06, + "loss": 0.5469, + "step": 17873 + }, + { + "epoch": 0.53, + "learning_rate": 4.836364959773e-06, + "loss": 0.8137, + "step": 17874 + }, + { + "epoch": 0.53, + "learning_rate": 4.83588944715881e-06, + "loss": 0.8194, + "step": 17875 + }, + { + "epoch": 0.53, + "learning_rate": 4.835413936030512e-06, + "loss": 0.832, + "step": 17876 + }, + { + "epoch": 0.53, + "learning_rate": 4.834938426392411e-06, + "loss": 0.9534, + "step": 17877 + }, + { + "epoch": 0.53, + "learning_rate": 4.834462918248814e-06, + "loss": 0.8879, + "step": 17878 + }, + { + "epoch": 0.53, + "learning_rate": 4.833987411604025e-06, + "loss": 0.6855, + "step": 17879 + }, + { + "epoch": 0.53, + "learning_rate": 4.833511906462347e-06, + "loss": 0.7766, + "step": 17880 + }, + { + "epoch": 0.53, + "learning_rate": 4.8330364028280914e-06, + "loss": 0.7173, + "step": 17881 + }, + { + "epoch": 0.53, + "learning_rate": 4.83256090070556e-06, + "loss": 1.0614, + "step": 17882 + }, + { + "epoch": 0.53, + "learning_rate": 4.832085400099058e-06, + "loss": 0.8209, + "step": 17883 + }, + { + "epoch": 0.53, + "learning_rate": 4.831609901012891e-06, + "loss": 0.7603, + "step": 17884 + }, + { + "epoch": 0.53, + "learning_rate": 4.831134403451364e-06, + "loss": 0.6499, + "step": 17885 + }, + { + "epoch": 0.53, + "learning_rate": 4.8306589074187836e-06, + "loss": 0.5568, + "step": 17886 + }, + { + "epoch": 0.53, + "learning_rate": 4.830183412919453e-06, + "loss": 0.8116, + "step": 17887 + }, + { + "epoch": 0.53, + "learning_rate": 4.8297079199576785e-06, + "loss": 0.7843, + "step": 17888 + }, + { + "epoch": 0.53, + "learning_rate": 4.829232428537765e-06, + "loss": 0.8009, + "step": 17889 + }, + { + "epoch": 0.53, + "learning_rate": 4.828756938664017e-06, + "loss": 0.7442, + "step": 17890 + }, + { + "epoch": 0.53, + "learning_rate": 4.828281450340742e-06, + "loss": 0.8179, + "step": 17891 + }, + { + "epoch": 0.53, + "learning_rate": 4.827805963572244e-06, + "loss": 0.7316, + "step": 17892 + }, + { + "epoch": 0.53, + "learning_rate": 4.8273304783628276e-06, + "loss": 0.6625, + "step": 17893 + }, + { + "epoch": 0.53, + "learning_rate": 4.826854994716798e-06, + "loss": 0.9247, + "step": 17894 + }, + { + "epoch": 0.53, + "learning_rate": 4.826379512638461e-06, + "loss": 1.0703, + "step": 17895 + }, + { + "epoch": 0.53, + "learning_rate": 4.82590403213212e-06, + "loss": 0.6754, + "step": 17896 + }, + { + "epoch": 0.53, + "learning_rate": 4.8254285532020836e-06, + "loss": 0.778, + "step": 17897 + }, + { + "epoch": 0.53, + "learning_rate": 4.8249530758526535e-06, + "loss": 0.7264, + "step": 17898 + }, + { + "epoch": 0.53, + "learning_rate": 4.824477600088136e-06, + "loss": 0.7519, + "step": 17899 + }, + { + "epoch": 0.53, + "learning_rate": 4.8240021259128346e-06, + "loss": 0.9812, + "step": 17900 + }, + { + "epoch": 0.53, + "learning_rate": 4.823526653331057e-06, + "loss": 0.7662, + "step": 17901 + }, + { + "epoch": 0.53, + "learning_rate": 4.823051182347108e-06, + "loss": 0.8345, + "step": 17902 + }, + { + "epoch": 0.53, + "learning_rate": 4.822575712965292e-06, + "loss": 0.7898, + "step": 17903 + }, + { + "epoch": 0.53, + "learning_rate": 4.822100245189913e-06, + "loss": 0.732, + "step": 17904 + }, + { + "epoch": 0.53, + "learning_rate": 4.821624779025277e-06, + "loss": 0.6371, + "step": 17905 + }, + { + "epoch": 0.53, + "learning_rate": 4.821149314475689e-06, + "loss": 0.7999, + "step": 17906 + }, + { + "epoch": 0.53, + "learning_rate": 4.820673851545453e-06, + "loss": 0.7388, + "step": 17907 + }, + { + "epoch": 0.53, + "learning_rate": 4.820198390238875e-06, + "loss": 0.6694, + "step": 17908 + }, + { + "epoch": 0.53, + "learning_rate": 4.81972293056026e-06, + "loss": 0.5928, + "step": 17909 + }, + { + "epoch": 0.53, + "learning_rate": 4.819247472513911e-06, + "loss": 0.54, + "step": 17910 + }, + { + "epoch": 0.53, + "learning_rate": 4.8187720161041356e-06, + "loss": 0.8639, + "step": 17911 + }, + { + "epoch": 0.53, + "learning_rate": 4.818296561335237e-06, + "loss": 1.0061, + "step": 17912 + }, + { + "epoch": 0.53, + "learning_rate": 4.817821108211521e-06, + "loss": 0.6749, + "step": 17913 + }, + { + "epoch": 0.53, + "learning_rate": 4.817345656737291e-06, + "loss": 0.7536, + "step": 17914 + }, + { + "epoch": 0.53, + "learning_rate": 4.816870206916854e-06, + "loss": 0.682, + "step": 17915 + }, + { + "epoch": 0.53, + "learning_rate": 4.816394758754513e-06, + "loss": 0.6428, + "step": 17916 + }, + { + "epoch": 0.53, + "learning_rate": 4.815919312254574e-06, + "loss": 0.6785, + "step": 17917 + }, + { + "epoch": 0.53, + "learning_rate": 4.81544386742134e-06, + "loss": 0.7501, + "step": 17918 + }, + { + "epoch": 0.53, + "learning_rate": 4.814968424259118e-06, + "loss": 0.6635, + "step": 17919 + }, + { + "epoch": 0.53, + "learning_rate": 4.81449298277221e-06, + "loss": 0.6319, + "step": 17920 + }, + { + "epoch": 0.53, + "learning_rate": 4.814017542964924e-06, + "loss": 0.64, + "step": 17921 + }, + { + "epoch": 0.53, + "learning_rate": 4.813542104841564e-06, + "loss": 0.7789, + "step": 17922 + }, + { + "epoch": 0.53, + "learning_rate": 4.813066668406433e-06, + "loss": 0.3967, + "step": 17923 + }, + { + "epoch": 0.53, + "learning_rate": 4.812591233663837e-06, + "loss": 0.7183, + "step": 17924 + }, + { + "epoch": 0.53, + "learning_rate": 4.8121158006180806e-06, + "loss": 0.6963, + "step": 17925 + }, + { + "epoch": 0.53, + "learning_rate": 4.811640369273468e-06, + "loss": 1.0749, + "step": 17926 + }, + { + "epoch": 0.53, + "learning_rate": 4.811164939634305e-06, + "loss": 0.4525, + "step": 17927 + }, + { + "epoch": 0.53, + "learning_rate": 4.810689511704894e-06, + "loss": 0.9029, + "step": 17928 + }, + { + "epoch": 0.53, + "learning_rate": 4.8102140854895404e-06, + "loss": 0.934, + "step": 17929 + }, + { + "epoch": 0.53, + "learning_rate": 4.8097386609925514e-06, + "loss": 0.7319, + "step": 17930 + }, + { + "epoch": 0.53, + "learning_rate": 4.809263238218228e-06, + "loss": 0.9448, + "step": 17931 + }, + { + "epoch": 0.53, + "learning_rate": 4.808787817170878e-06, + "loss": 0.684, + "step": 17932 + }, + { + "epoch": 0.53, + "learning_rate": 4.808312397854804e-06, + "loss": 0.7947, + "step": 17933 + }, + { + "epoch": 0.53, + "learning_rate": 4.80783698027431e-06, + "loss": 0.5909, + "step": 17934 + }, + { + "epoch": 0.53, + "learning_rate": 4.807361564433701e-06, + "loss": 0.7918, + "step": 17935 + }, + { + "epoch": 0.53, + "learning_rate": 4.806886150337283e-06, + "loss": 0.9232, + "step": 17936 + }, + { + "epoch": 0.53, + "learning_rate": 4.80641073798936e-06, + "loss": 0.9994, + "step": 17937 + }, + { + "epoch": 0.53, + "learning_rate": 4.8059353273942345e-06, + "loss": 0.8671, + "step": 17938 + }, + { + "epoch": 0.53, + "learning_rate": 4.8054599185562114e-06, + "loss": 0.9411, + "step": 17939 + }, + { + "epoch": 0.53, + "learning_rate": 4.804984511479598e-06, + "loss": 0.5592, + "step": 17940 + }, + { + "epoch": 0.53, + "learning_rate": 4.804509106168696e-06, + "loss": 0.5735, + "step": 17941 + }, + { + "epoch": 0.53, + "learning_rate": 4.804033702627812e-06, + "loss": 0.7087, + "step": 17942 + }, + { + "epoch": 0.53, + "learning_rate": 4.803558300861248e-06, + "loss": 0.5414, + "step": 17943 + }, + { + "epoch": 0.53, + "learning_rate": 4.80308290087331e-06, + "loss": 0.7378, + "step": 17944 + }, + { + "epoch": 0.53, + "learning_rate": 4.802607502668301e-06, + "loss": 0.5221, + "step": 17945 + }, + { + "epoch": 0.53, + "learning_rate": 4.802132106250528e-06, + "loss": 0.8271, + "step": 17946 + }, + { + "epoch": 0.53, + "learning_rate": 4.801656711624292e-06, + "loss": 0.6018, + "step": 17947 + }, + { + "epoch": 0.53, + "learning_rate": 4.8011813187939e-06, + "loss": 0.6773, + "step": 17948 + }, + { + "epoch": 0.53, + "learning_rate": 4.800705927763654e-06, + "loss": 0.8808, + "step": 17949 + }, + { + "epoch": 0.53, + "learning_rate": 4.80023053853786e-06, + "loss": 0.4741, + "step": 17950 + }, + { + "epoch": 0.53, + "learning_rate": 4.799755151120822e-06, + "loss": 0.7785, + "step": 17951 + }, + { + "epoch": 0.53, + "learning_rate": 4.799279765516844e-06, + "loss": 0.8147, + "step": 17952 + }, + { + "epoch": 0.53, + "learning_rate": 4.798804381730231e-06, + "loss": 0.705, + "step": 17953 + }, + { + "epoch": 0.53, + "learning_rate": 4.798328999765285e-06, + "loss": 1.0663, + "step": 17954 + }, + { + "epoch": 0.53, + "learning_rate": 4.797853619626313e-06, + "loss": 0.6627, + "step": 17955 + }, + { + "epoch": 0.53, + "learning_rate": 4.797378241317618e-06, + "loss": 0.8006, + "step": 17956 + }, + { + "epoch": 0.53, + "learning_rate": 4.796902864843503e-06, + "loss": 0.9364, + "step": 17957 + }, + { + "epoch": 0.53, + "learning_rate": 4.796427490208274e-06, + "loss": 0.9444, + "step": 17958 + }, + { + "epoch": 0.53, + "learning_rate": 4.795952117416232e-06, + "loss": 0.4761, + "step": 17959 + }, + { + "epoch": 0.53, + "learning_rate": 4.795476746471686e-06, + "loss": 0.7995, + "step": 17960 + }, + { + "epoch": 0.53, + "learning_rate": 4.795001377378938e-06, + "loss": 0.5613, + "step": 17961 + }, + { + "epoch": 0.53, + "learning_rate": 4.794526010142291e-06, + "loss": 0.9769, + "step": 17962 + }, + { + "epoch": 0.53, + "learning_rate": 4.79405064476605e-06, + "loss": 1.3174, + "step": 17963 + }, + { + "epoch": 0.53, + "learning_rate": 4.793575281254519e-06, + "loss": 0.5491, + "step": 17964 + }, + { + "epoch": 0.53, + "learning_rate": 4.793099919612002e-06, + "loss": 0.6225, + "step": 17965 + }, + { + "epoch": 0.53, + "learning_rate": 4.792624559842802e-06, + "loss": 0.8004, + "step": 17966 + }, + { + "epoch": 0.53, + "learning_rate": 4.792149201951225e-06, + "loss": 0.5539, + "step": 17967 + }, + { + "epoch": 0.53, + "learning_rate": 4.791673845941574e-06, + "loss": 0.518, + "step": 17968 + }, + { + "epoch": 0.53, + "learning_rate": 4.7911984918181505e-06, + "loss": 0.6614, + "step": 17969 + }, + { + "epoch": 0.53, + "learning_rate": 4.790723139585264e-06, + "loss": 0.5819, + "step": 17970 + }, + { + "epoch": 0.53, + "learning_rate": 4.790247789247214e-06, + "loss": 0.593, + "step": 17971 + }, + { + "epoch": 0.53, + "learning_rate": 4.789772440808306e-06, + "loss": 0.8283, + "step": 17972 + }, + { + "epoch": 0.53, + "learning_rate": 4.789297094272844e-06, + "loss": 0.5072, + "step": 17973 + }, + { + "epoch": 0.53, + "learning_rate": 4.788821749645131e-06, + "loss": 1.0363, + "step": 17974 + }, + { + "epoch": 0.53, + "learning_rate": 4.788346406929471e-06, + "loss": 0.8617, + "step": 17975 + }, + { + "epoch": 0.53, + "learning_rate": 4.787871066130169e-06, + "loss": 0.8738, + "step": 17976 + }, + { + "epoch": 0.53, + "learning_rate": 4.7873957272515285e-06, + "loss": 0.5605, + "step": 17977 + }, + { + "epoch": 0.53, + "learning_rate": 4.786920390297852e-06, + "loss": 0.6977, + "step": 17978 + }, + { + "epoch": 0.53, + "learning_rate": 4.786445055273443e-06, + "loss": 0.7929, + "step": 17979 + }, + { + "epoch": 0.53, + "learning_rate": 4.785969722182608e-06, + "loss": 1.1628, + "step": 17980 + }, + { + "epoch": 0.53, + "learning_rate": 4.785494391029649e-06, + "loss": 0.8978, + "step": 17981 + }, + { + "epoch": 0.53, + "learning_rate": 4.785019061818871e-06, + "loss": 1.066, + "step": 17982 + }, + { + "epoch": 0.53, + "learning_rate": 4.7845437345545755e-06, + "loss": 0.9069, + "step": 17983 + }, + { + "epoch": 0.53, + "learning_rate": 4.784068409241069e-06, + "loss": 0.6795, + "step": 17984 + }, + { + "epoch": 0.53, + "learning_rate": 4.783593085882653e-06, + "loss": 0.5872, + "step": 17985 + }, + { + "epoch": 0.53, + "learning_rate": 4.783117764483631e-06, + "loss": 0.8251, + "step": 17986 + }, + { + "epoch": 0.53, + "learning_rate": 4.782642445048309e-06, + "loss": 0.4505, + "step": 17987 + }, + { + "epoch": 0.53, + "learning_rate": 4.782167127580988e-06, + "loss": 0.7123, + "step": 17988 + }, + { + "epoch": 0.53, + "learning_rate": 4.781691812085972e-06, + "loss": 0.6157, + "step": 17989 + }, + { + "epoch": 0.53, + "learning_rate": 4.7812164985675675e-06, + "loss": 0.7013, + "step": 17990 + }, + { + "epoch": 0.53, + "learning_rate": 4.780741187030075e-06, + "loss": 0.771, + "step": 17991 + }, + { + "epoch": 0.53, + "learning_rate": 4.780265877477799e-06, + "loss": 0.7945, + "step": 17992 + }, + { + "epoch": 0.53, + "learning_rate": 4.779790569915044e-06, + "loss": 0.8203, + "step": 17993 + }, + { + "epoch": 0.53, + "learning_rate": 4.779315264346112e-06, + "loss": 0.7584, + "step": 17994 + }, + { + "epoch": 0.53, + "learning_rate": 4.778839960775307e-06, + "loss": 0.8264, + "step": 17995 + }, + { + "epoch": 0.53, + "learning_rate": 4.778364659206933e-06, + "loss": 0.7585, + "step": 17996 + }, + { + "epoch": 0.53, + "learning_rate": 4.777889359645293e-06, + "loss": 0.9686, + "step": 17997 + }, + { + "epoch": 0.53, + "learning_rate": 4.777414062094689e-06, + "loss": 0.6455, + "step": 17998 + }, + { + "epoch": 0.53, + "learning_rate": 4.776938766559427e-06, + "loss": 0.6733, + "step": 17999 + }, + { + "epoch": 0.53, + "learning_rate": 4.776463473043811e-06, + "loss": 0.7751, + "step": 18000 + }, + { + "epoch": 0.53, + "learning_rate": 4.775988181552142e-06, + "loss": 0.4824, + "step": 18001 + }, + { + "epoch": 0.53, + "learning_rate": 4.775512892088724e-06, + "loss": 0.9371, + "step": 18002 + }, + { + "epoch": 0.53, + "learning_rate": 4.775037604657861e-06, + "loss": 0.6113, + "step": 18003 + }, + { + "epoch": 0.53, + "learning_rate": 4.774562319263858e-06, + "loss": 0.9003, + "step": 18004 + }, + { + "epoch": 0.53, + "learning_rate": 4.774087035911014e-06, + "loss": 0.5551, + "step": 18005 + }, + { + "epoch": 0.53, + "learning_rate": 4.773611754603635e-06, + "loss": 0.5991, + "step": 18006 + }, + { + "epoch": 0.53, + "learning_rate": 4.773136475346024e-06, + "loss": 0.8929, + "step": 18007 + }, + { + "epoch": 0.53, + "learning_rate": 4.772661198142484e-06, + "loss": 0.7385, + "step": 18008 + }, + { + "epoch": 0.53, + "learning_rate": 4.77218592299732e-06, + "loss": 0.7085, + "step": 18009 + }, + { + "epoch": 0.53, + "learning_rate": 4.7717106499148316e-06, + "loss": 0.6215, + "step": 18010 + }, + { + "epoch": 0.53, + "learning_rate": 4.771235378899326e-06, + "loss": 0.6521, + "step": 18011 + }, + { + "epoch": 0.53, + "learning_rate": 4.770760109955104e-06, + "loss": 0.6904, + "step": 18012 + }, + { + "epoch": 0.53, + "learning_rate": 4.770284843086469e-06, + "loss": 0.8625, + "step": 18013 + }, + { + "epoch": 0.53, + "learning_rate": 4.7698095782977264e-06, + "loss": 0.7694, + "step": 18014 + }, + { + "epoch": 0.53, + "learning_rate": 4.769334315593176e-06, + "loss": 0.6214, + "step": 18015 + }, + { + "epoch": 0.53, + "learning_rate": 4.768859054977122e-06, + "loss": 0.7485, + "step": 18016 + }, + { + "epoch": 0.53, + "learning_rate": 4.768383796453869e-06, + "loss": 0.6907, + "step": 18017 + }, + { + "epoch": 0.53, + "learning_rate": 4.767908540027716e-06, + "loss": 0.6157, + "step": 18018 + }, + { + "epoch": 0.53, + "learning_rate": 4.767433285702972e-06, + "loss": 0.6391, + "step": 18019 + }, + { + "epoch": 0.53, + "learning_rate": 4.766958033483937e-06, + "loss": 0.8268, + "step": 18020 + }, + { + "epoch": 0.53, + "learning_rate": 4.7664827833749145e-06, + "loss": 0.8147, + "step": 18021 + }, + { + "epoch": 0.53, + "learning_rate": 4.7660075353802065e-06, + "loss": 0.7882, + "step": 18022 + }, + { + "epoch": 0.53, + "learning_rate": 4.765532289504118e-06, + "loss": 0.7994, + "step": 18023 + }, + { + "epoch": 0.53, + "learning_rate": 4.765057045750949e-06, + "loss": 0.7278, + "step": 18024 + }, + { + "epoch": 0.53, + "learning_rate": 4.764581804125005e-06, + "loss": 0.6159, + "step": 18025 + }, + { + "epoch": 0.53, + "learning_rate": 4.7641065646305884e-06, + "loss": 0.8966, + "step": 18026 + }, + { + "epoch": 0.53, + "learning_rate": 4.763631327272001e-06, + "loss": 0.7741, + "step": 18027 + }, + { + "epoch": 0.53, + "learning_rate": 4.763156092053546e-06, + "loss": 0.5316, + "step": 18028 + }, + { + "epoch": 0.53, + "learning_rate": 4.762680858979528e-06, + "loss": 1.0371, + "step": 18029 + }, + { + "epoch": 0.53, + "learning_rate": 4.762205628054249e-06, + "loss": 0.7381, + "step": 18030 + }, + { + "epoch": 0.53, + "learning_rate": 4.761730399282011e-06, + "loss": 0.6626, + "step": 18031 + }, + { + "epoch": 0.53, + "learning_rate": 4.761255172667117e-06, + "loss": 0.5789, + "step": 18032 + }, + { + "epoch": 0.53, + "learning_rate": 4.7607799482138715e-06, + "loss": 1.2626, + "step": 18033 + }, + { + "epoch": 0.53, + "learning_rate": 4.7603047259265745e-06, + "loss": 0.5473, + "step": 18034 + }, + { + "epoch": 0.53, + "learning_rate": 4.759829505809531e-06, + "loss": 0.5989, + "step": 18035 + }, + { + "epoch": 0.53, + "learning_rate": 4.759354287867042e-06, + "loss": 0.8283, + "step": 18036 + }, + { + "epoch": 0.53, + "learning_rate": 4.758879072103412e-06, + "loss": 0.8742, + "step": 18037 + }, + { + "epoch": 0.53, + "learning_rate": 4.758403858522941e-06, + "loss": 0.7315, + "step": 18038 + }, + { + "epoch": 0.53, + "learning_rate": 4.757928647129935e-06, + "loss": 0.6651, + "step": 18039 + }, + { + "epoch": 0.53, + "learning_rate": 4.7574534379286956e-06, + "loss": 0.6714, + "step": 18040 + }, + { + "epoch": 0.53, + "learning_rate": 4.7569782309235255e-06, + "loss": 0.8387, + "step": 18041 + }, + { + "epoch": 0.53, + "learning_rate": 4.756503026118726e-06, + "loss": 0.546, + "step": 18042 + }, + { + "epoch": 0.53, + "learning_rate": 4.756027823518601e-06, + "loss": 0.5106, + "step": 18043 + }, + { + "epoch": 0.53, + "learning_rate": 4.755552623127453e-06, + "loss": 0.5217, + "step": 18044 + }, + { + "epoch": 0.53, + "learning_rate": 4.755077424949583e-06, + "loss": 0.7653, + "step": 18045 + }, + { + "epoch": 0.53, + "learning_rate": 4.754602228989297e-06, + "loss": 0.6937, + "step": 18046 + }, + { + "epoch": 0.53, + "learning_rate": 4.7541270352508936e-06, + "loss": 0.5813, + "step": 18047 + }, + { + "epoch": 0.53, + "learning_rate": 4.753651843738676e-06, + "loss": 0.7949, + "step": 18048 + }, + { + "epoch": 0.53, + "learning_rate": 4.753176654456949e-06, + "loss": 0.9776, + "step": 18049 + }, + { + "epoch": 0.53, + "learning_rate": 4.7527014674100145e-06, + "loss": 0.6063, + "step": 18050 + }, + { + "epoch": 0.53, + "learning_rate": 4.752226282602174e-06, + "loss": 0.8212, + "step": 18051 + }, + { + "epoch": 0.53, + "learning_rate": 4.7517511000377294e-06, + "loss": 0.7229, + "step": 18052 + }, + { + "epoch": 0.53, + "learning_rate": 4.7512759197209844e-06, + "loss": 0.8921, + "step": 18053 + }, + { + "epoch": 0.53, + "learning_rate": 4.750800741656242e-06, + "loss": 0.7465, + "step": 18054 + }, + { + "epoch": 0.53, + "learning_rate": 4.750325565847802e-06, + "loss": 0.7016, + "step": 18055 + }, + { + "epoch": 0.53, + "learning_rate": 4.749850392299968e-06, + "loss": 0.8441, + "step": 18056 + }, + { + "epoch": 0.53, + "learning_rate": 4.749375221017041e-06, + "loss": 0.6222, + "step": 18057 + }, + { + "epoch": 0.53, + "learning_rate": 4.7489000520033265e-06, + "loss": 0.7796, + "step": 18058 + }, + { + "epoch": 0.53, + "learning_rate": 4.748424885263125e-06, + "loss": 0.8501, + "step": 18059 + }, + { + "epoch": 0.53, + "learning_rate": 4.747949720800739e-06, + "loss": 0.5364, + "step": 18060 + }, + { + "epoch": 0.53, + "learning_rate": 4.747474558620471e-06, + "loss": 0.5401, + "step": 18061 + }, + { + "epoch": 0.53, + "learning_rate": 4.746999398726623e-06, + "loss": 1.0123, + "step": 18062 + }, + { + "epoch": 0.53, + "learning_rate": 4.746524241123496e-06, + "loss": 0.745, + "step": 18063 + }, + { + "epoch": 0.53, + "learning_rate": 4.746049085815394e-06, + "loss": 0.7938, + "step": 18064 + }, + { + "epoch": 0.53, + "learning_rate": 4.745573932806618e-06, + "loss": 0.833, + "step": 18065 + }, + { + "epoch": 0.53, + "learning_rate": 4.745098782101471e-06, + "loss": 0.7454, + "step": 18066 + }, + { + "epoch": 0.53, + "learning_rate": 4.744623633704252e-06, + "loss": 0.7744, + "step": 18067 + }, + { + "epoch": 0.53, + "learning_rate": 4.744148487619269e-06, + "loss": 0.7268, + "step": 18068 + }, + { + "epoch": 0.53, + "learning_rate": 4.743673343850819e-06, + "loss": 0.6378, + "step": 18069 + }, + { + "epoch": 0.53, + "learning_rate": 4.743198202403206e-06, + "loss": 0.8907, + "step": 18070 + }, + { + "epoch": 0.53, + "learning_rate": 4.742723063280733e-06, + "loss": 0.7441, + "step": 18071 + }, + { + "epoch": 0.53, + "learning_rate": 4.7422479264877e-06, + "loss": 0.885, + "step": 18072 + }, + { + "epoch": 0.53, + "learning_rate": 4.74177279202841e-06, + "loss": 0.846, + "step": 18073 + }, + { + "epoch": 0.53, + "learning_rate": 4.7412976599071646e-06, + "loss": 0.9602, + "step": 18074 + }, + { + "epoch": 0.53, + "learning_rate": 4.740822530128266e-06, + "loss": 0.8571, + "step": 18075 + }, + { + "epoch": 0.53, + "learning_rate": 4.740347402696016e-06, + "loss": 0.7288, + "step": 18076 + }, + { + "epoch": 0.53, + "learning_rate": 4.739872277614714e-06, + "loss": 0.7161, + "step": 18077 + }, + { + "epoch": 0.53, + "learning_rate": 4.739397154888668e-06, + "loss": 0.6407, + "step": 18078 + }, + { + "epoch": 0.53, + "learning_rate": 4.738922034522175e-06, + "loss": 0.8412, + "step": 18079 + }, + { + "epoch": 0.53, + "learning_rate": 4.738446916519539e-06, + "loss": 0.7589, + "step": 18080 + }, + { + "epoch": 0.53, + "learning_rate": 4.737971800885061e-06, + "loss": 0.677, + "step": 18081 + }, + { + "epoch": 0.53, + "learning_rate": 4.737496687623043e-06, + "loss": 0.5253, + "step": 18082 + }, + { + "epoch": 0.53, + "learning_rate": 4.737021576737786e-06, + "loss": 0.7512, + "step": 18083 + }, + { + "epoch": 0.53, + "learning_rate": 4.736546468233593e-06, + "loss": 0.855, + "step": 18084 + }, + { + "epoch": 0.53, + "learning_rate": 4.736071362114765e-06, + "loss": 0.8028, + "step": 18085 + }, + { + "epoch": 0.53, + "learning_rate": 4.735596258385604e-06, + "loss": 0.5325, + "step": 18086 + }, + { + "epoch": 0.53, + "learning_rate": 4.735121157050409e-06, + "loss": 0.7896, + "step": 18087 + }, + { + "epoch": 0.53, + "learning_rate": 4.734646058113487e-06, + "loss": 0.7398, + "step": 18088 + }, + { + "epoch": 0.53, + "learning_rate": 4.734170961579135e-06, + "loss": 0.8128, + "step": 18089 + }, + { + "epoch": 0.53, + "learning_rate": 4.733695867451658e-06, + "loss": 0.7915, + "step": 18090 + }, + { + "epoch": 0.53, + "learning_rate": 4.733220775735355e-06, + "loss": 0.7082, + "step": 18091 + }, + { + "epoch": 0.53, + "learning_rate": 4.732745686434529e-06, + "loss": 0.8583, + "step": 18092 + }, + { + "epoch": 0.53, + "learning_rate": 4.732270599553482e-06, + "loss": 0.6469, + "step": 18093 + }, + { + "epoch": 0.53, + "learning_rate": 4.7317955150965136e-06, + "loss": 0.9608, + "step": 18094 + }, + { + "epoch": 0.53, + "learning_rate": 4.731320433067928e-06, + "loss": 0.7493, + "step": 18095 + }, + { + "epoch": 0.53, + "learning_rate": 4.730845353472024e-06, + "loss": 0.8251, + "step": 18096 + }, + { + "epoch": 0.53, + "learning_rate": 4.730370276313101e-06, + "loss": 0.8281, + "step": 18097 + }, + { + "epoch": 0.53, + "learning_rate": 4.729895201595467e-06, + "loss": 0.9253, + "step": 18098 + }, + { + "epoch": 0.53, + "learning_rate": 4.72942012932342e-06, + "loss": 0.8265, + "step": 18099 + }, + { + "epoch": 0.53, + "learning_rate": 4.728945059501261e-06, + "loss": 0.7567, + "step": 18100 + }, + { + "epoch": 0.53, + "learning_rate": 4.728469992133293e-06, + "loss": 0.8446, + "step": 18101 + }, + { + "epoch": 0.53, + "learning_rate": 4.727994927223815e-06, + "loss": 0.6013, + "step": 18102 + }, + { + "epoch": 0.53, + "learning_rate": 4.72751986477713e-06, + "loss": 0.668, + "step": 18103 + }, + { + "epoch": 0.53, + "learning_rate": 4.727044804797539e-06, + "loss": 0.8428, + "step": 18104 + }, + { + "epoch": 0.53, + "learning_rate": 4.726569747289343e-06, + "loss": 0.6635, + "step": 18105 + }, + { + "epoch": 0.53, + "learning_rate": 4.726094692256844e-06, + "loss": 0.6696, + "step": 18106 + }, + { + "epoch": 0.53, + "learning_rate": 4.725619639704342e-06, + "loss": 0.7755, + "step": 18107 + }, + { + "epoch": 0.53, + "learning_rate": 4.725144589636139e-06, + "loss": 0.5062, + "step": 18108 + }, + { + "epoch": 0.53, + "learning_rate": 4.724669542056537e-06, + "loss": 0.8044, + "step": 18109 + }, + { + "epoch": 0.53, + "learning_rate": 4.724194496969836e-06, + "loss": 0.8604, + "step": 18110 + }, + { + "epoch": 0.53, + "learning_rate": 4.723719454380336e-06, + "loss": 0.7021, + "step": 18111 + }, + { + "epoch": 0.53, + "learning_rate": 4.723244414292342e-06, + "loss": 0.9305, + "step": 18112 + }, + { + "epoch": 0.53, + "learning_rate": 4.722769376710152e-06, + "loss": 0.7461, + "step": 18113 + }, + { + "epoch": 0.53, + "learning_rate": 4.722294341638068e-06, + "loss": 0.9318, + "step": 18114 + }, + { + "epoch": 0.53, + "learning_rate": 4.72181930908039e-06, + "loss": 0.9002, + "step": 18115 + }, + { + "epoch": 0.53, + "learning_rate": 4.72134427904142e-06, + "loss": 0.8623, + "step": 18116 + }, + { + "epoch": 0.53, + "learning_rate": 4.720869251525457e-06, + "loss": 0.6844, + "step": 18117 + }, + { + "epoch": 0.53, + "learning_rate": 4.720394226536807e-06, + "loss": 0.6877, + "step": 18118 + }, + { + "epoch": 0.53, + "learning_rate": 4.719919204079767e-06, + "loss": 0.8255, + "step": 18119 + }, + { + "epoch": 0.53, + "learning_rate": 4.719444184158639e-06, + "loss": 0.8789, + "step": 18120 + }, + { + "epoch": 0.53, + "learning_rate": 4.718969166777725e-06, + "loss": 0.5544, + "step": 18121 + }, + { + "epoch": 0.53, + "learning_rate": 4.718494151941323e-06, + "loss": 0.8988, + "step": 18122 + }, + { + "epoch": 0.53, + "learning_rate": 4.718019139653737e-06, + "loss": 0.6649, + "step": 18123 + }, + { + "epoch": 0.53, + "learning_rate": 4.717544129919267e-06, + "loss": 0.6969, + "step": 18124 + }, + { + "epoch": 0.53, + "learning_rate": 4.7170691227422115e-06, + "loss": 0.6818, + "step": 18125 + }, + { + "epoch": 0.53, + "learning_rate": 4.716594118126874e-06, + "loss": 0.6557, + "step": 18126 + }, + { + "epoch": 0.53, + "learning_rate": 4.716119116077553e-06, + "loss": 0.6979, + "step": 18127 + }, + { + "epoch": 0.53, + "learning_rate": 4.715644116598553e-06, + "loss": 0.8579, + "step": 18128 + }, + { + "epoch": 0.53, + "learning_rate": 4.715169119694172e-06, + "loss": 0.7756, + "step": 18129 + }, + { + "epoch": 0.53, + "learning_rate": 4.7146941253687114e-06, + "loss": 0.7847, + "step": 18130 + }, + { + "epoch": 0.53, + "learning_rate": 4.714219133626471e-06, + "loss": 0.5163, + "step": 18131 + }, + { + "epoch": 0.53, + "learning_rate": 4.713744144471753e-06, + "loss": 0.7867, + "step": 18132 + }, + { + "epoch": 0.53, + "learning_rate": 4.713269157908856e-06, + "loss": 0.6726, + "step": 18133 + }, + { + "epoch": 0.53, + "learning_rate": 4.712794173942083e-06, + "loss": 0.838, + "step": 18134 + }, + { + "epoch": 0.53, + "learning_rate": 4.712319192575733e-06, + "loss": 0.8936, + "step": 18135 + }, + { + "epoch": 0.53, + "learning_rate": 4.711844213814105e-06, + "loss": 0.6842, + "step": 18136 + }, + { + "epoch": 0.53, + "learning_rate": 4.7113692376615035e-06, + "loss": 0.5894, + "step": 18137 + }, + { + "epoch": 0.53, + "learning_rate": 4.710894264122227e-06, + "loss": 0.9173, + "step": 18138 + }, + { + "epoch": 0.53, + "learning_rate": 4.710419293200578e-06, + "loss": 0.743, + "step": 18139 + }, + { + "epoch": 0.53, + "learning_rate": 4.709944324900853e-06, + "loss": 0.85, + "step": 18140 + }, + { + "epoch": 0.53, + "learning_rate": 4.709469359227355e-06, + "loss": 0.7164, + "step": 18141 + }, + { + "epoch": 0.53, + "learning_rate": 4.708994396184385e-06, + "loss": 0.3811, + "step": 18142 + }, + { + "epoch": 0.53, + "learning_rate": 4.708519435776242e-06, + "loss": 0.7013, + "step": 18143 + }, + { + "epoch": 0.53, + "learning_rate": 4.708044478007227e-06, + "loss": 0.6847, + "step": 18144 + }, + { + "epoch": 0.53, + "learning_rate": 4.70756952288164e-06, + "loss": 0.795, + "step": 18145 + }, + { + "epoch": 0.53, + "learning_rate": 4.7070945704037795e-06, + "loss": 0.8726, + "step": 18146 + }, + { + "epoch": 0.53, + "learning_rate": 4.706619620577951e-06, + "loss": 0.6726, + "step": 18147 + }, + { + "epoch": 0.53, + "learning_rate": 4.7061446734084514e-06, + "loss": 0.7022, + "step": 18148 + }, + { + "epoch": 0.53, + "learning_rate": 4.70566972889958e-06, + "loss": 0.8151, + "step": 18149 + }, + { + "epoch": 0.53, + "learning_rate": 4.70519478705564e-06, + "loss": 0.4325, + "step": 18150 + }, + { + "epoch": 0.53, + "learning_rate": 4.704719847880928e-06, + "loss": 0.7096, + "step": 18151 + }, + { + "epoch": 0.53, + "learning_rate": 4.7042449113797475e-06, + "loss": 0.6664, + "step": 18152 + }, + { + "epoch": 0.53, + "learning_rate": 4.703769977556398e-06, + "loss": 0.7148, + "step": 18153 + }, + { + "epoch": 0.53, + "learning_rate": 4.703295046415178e-06, + "loss": 0.8127, + "step": 18154 + }, + { + "epoch": 0.53, + "learning_rate": 4.702820117960388e-06, + "loss": 0.6677, + "step": 18155 + }, + { + "epoch": 0.53, + "learning_rate": 4.702345192196327e-06, + "loss": 0.787, + "step": 18156 + }, + { + "epoch": 0.53, + "learning_rate": 4.7018702691273e-06, + "loss": 0.7219, + "step": 18157 + }, + { + "epoch": 0.53, + "learning_rate": 4.701395348757603e-06, + "loss": 0.6546, + "step": 18158 + }, + { + "epoch": 0.53, + "learning_rate": 4.700920431091537e-06, + "loss": 0.6399, + "step": 18159 + }, + { + "epoch": 0.53, + "learning_rate": 4.700445516133402e-06, + "loss": 0.6931, + "step": 18160 + }, + { + "epoch": 0.53, + "learning_rate": 4.6999706038874975e-06, + "loss": 0.6671, + "step": 18161 + }, + { + "epoch": 0.53, + "learning_rate": 4.699495694358124e-06, + "loss": 0.692, + "step": 18162 + }, + { + "epoch": 0.53, + "learning_rate": 4.699020787549582e-06, + "loss": 0.7218, + "step": 18163 + }, + { + "epoch": 0.53, + "learning_rate": 4.69854588346617e-06, + "loss": 0.52, + "step": 18164 + }, + { + "epoch": 0.53, + "learning_rate": 4.698070982112189e-06, + "loss": 0.7679, + "step": 18165 + }, + { + "epoch": 0.53, + "learning_rate": 4.6975960834919356e-06, + "loss": 0.8365, + "step": 18166 + }, + { + "epoch": 0.53, + "learning_rate": 4.697121187609715e-06, + "loss": 0.851, + "step": 18167 + }, + { + "epoch": 0.53, + "learning_rate": 4.696646294469824e-06, + "loss": 0.4693, + "step": 18168 + }, + { + "epoch": 0.53, + "learning_rate": 4.696171404076564e-06, + "loss": 0.5513, + "step": 18169 + }, + { + "epoch": 0.53, + "learning_rate": 4.6956965164342326e-06, + "loss": 0.7264, + "step": 18170 + }, + { + "epoch": 0.53, + "learning_rate": 4.695221631547131e-06, + "loss": 0.6714, + "step": 18171 + }, + { + "epoch": 0.53, + "learning_rate": 4.69474674941956e-06, + "loss": 0.7407, + "step": 18172 + }, + { + "epoch": 0.53, + "learning_rate": 4.694271870055816e-06, + "loss": 0.5538, + "step": 18173 + }, + { + "epoch": 0.53, + "learning_rate": 4.693796993460201e-06, + "loss": 0.6973, + "step": 18174 + }, + { + "epoch": 0.53, + "learning_rate": 4.6933221196370136e-06, + "loss": 0.7917, + "step": 18175 + }, + { + "epoch": 0.53, + "learning_rate": 4.692847248590551e-06, + "loss": 0.7642, + "step": 18176 + }, + { + "epoch": 0.53, + "learning_rate": 4.692372380325119e-06, + "loss": 0.7269, + "step": 18177 + }, + { + "epoch": 0.53, + "learning_rate": 4.691897514845013e-06, + "loss": 0.7313, + "step": 18178 + }, + { + "epoch": 0.53, + "learning_rate": 4.691422652154534e-06, + "loss": 0.5648, + "step": 18179 + }, + { + "epoch": 0.53, + "learning_rate": 4.690947792257981e-06, + "loss": 0.58, + "step": 18180 + }, + { + "epoch": 0.53, + "learning_rate": 4.690472935159652e-06, + "loss": 0.6624, + "step": 18181 + }, + { + "epoch": 0.53, + "learning_rate": 4.689998080863849e-06, + "loss": 0.5904, + "step": 18182 + }, + { + "epoch": 0.53, + "learning_rate": 4.68952322937487e-06, + "loss": 0.8156, + "step": 18183 + }, + { + "epoch": 0.53, + "learning_rate": 4.689048380697014e-06, + "loss": 0.5726, + "step": 18184 + }, + { + "epoch": 0.53, + "learning_rate": 4.688573534834582e-06, + "loss": 0.6845, + "step": 18185 + }, + { + "epoch": 0.53, + "learning_rate": 4.68809869179187e-06, + "loss": 0.8213, + "step": 18186 + }, + { + "epoch": 0.53, + "learning_rate": 4.687623851573181e-06, + "loss": 0.8533, + "step": 18187 + }, + { + "epoch": 0.53, + "learning_rate": 4.687149014182813e-06, + "loss": 0.8318, + "step": 18188 + }, + { + "epoch": 0.53, + "learning_rate": 4.686674179625066e-06, + "loss": 0.7674, + "step": 18189 + }, + { + "epoch": 0.53, + "learning_rate": 4.6861993479042386e-06, + "loss": 0.5697, + "step": 18190 + }, + { + "epoch": 0.53, + "learning_rate": 4.68572451902463e-06, + "loss": 0.8172, + "step": 18191 + }, + { + "epoch": 0.53, + "learning_rate": 4.685249692990539e-06, + "loss": 0.6555, + "step": 18192 + }, + { + "epoch": 0.53, + "learning_rate": 4.684774869806265e-06, + "loss": 1.0389, + "step": 18193 + }, + { + "epoch": 0.53, + "learning_rate": 4.684300049476108e-06, + "loss": 1.0389, + "step": 18194 + }, + { + "epoch": 0.53, + "learning_rate": 4.683825232004365e-06, + "loss": 0.7069, + "step": 18195 + }, + { + "epoch": 0.53, + "learning_rate": 4.683350417395337e-06, + "loss": 0.9052, + "step": 18196 + }, + { + "epoch": 0.53, + "learning_rate": 4.682875605653323e-06, + "loss": 0.4831, + "step": 18197 + }, + { + "epoch": 0.53, + "learning_rate": 4.682400796782622e-06, + "loss": 0.7939, + "step": 18198 + }, + { + "epoch": 0.53, + "learning_rate": 4.681925990787533e-06, + "loss": 0.8334, + "step": 18199 + }, + { + "epoch": 0.53, + "learning_rate": 4.681451187672354e-06, + "loss": 0.7093, + "step": 18200 + }, + { + "epoch": 0.53, + "learning_rate": 4.680976387441384e-06, + "loss": 0.7315, + "step": 18201 + }, + { + "epoch": 0.53, + "learning_rate": 4.680501590098924e-06, + "loss": 0.7999, + "step": 18202 + }, + { + "epoch": 0.53, + "learning_rate": 4.680026795649271e-06, + "loss": 0.7374, + "step": 18203 + }, + { + "epoch": 0.53, + "learning_rate": 4.679552004096724e-06, + "loss": 0.6849, + "step": 18204 + }, + { + "epoch": 0.53, + "learning_rate": 4.679077215445581e-06, + "loss": 0.8186, + "step": 18205 + }, + { + "epoch": 0.53, + "learning_rate": 4.678602429700143e-06, + "loss": 0.6335, + "step": 18206 + }, + { + "epoch": 0.53, + "learning_rate": 4.678127646864709e-06, + "loss": 0.5778, + "step": 18207 + }, + { + "epoch": 0.53, + "learning_rate": 4.677652866943575e-06, + "loss": 0.5942, + "step": 18208 + }, + { + "epoch": 0.53, + "learning_rate": 4.677178089941044e-06, + "loss": 0.7347, + "step": 18209 + }, + { + "epoch": 0.53, + "learning_rate": 4.67670331586141e-06, + "loss": 0.8628, + "step": 18210 + }, + { + "epoch": 0.54, + "learning_rate": 4.676228544708975e-06, + "loss": 0.7128, + "step": 18211 + }, + { + "epoch": 0.54, + "learning_rate": 4.675753776488036e-06, + "loss": 0.6529, + "step": 18212 + }, + { + "epoch": 0.54, + "learning_rate": 4.6752790112028925e-06, + "loss": 0.7156, + "step": 18213 + }, + { + "epoch": 0.54, + "learning_rate": 4.674804248857843e-06, + "loss": 0.59, + "step": 18214 + }, + { + "epoch": 0.54, + "learning_rate": 4.674329489457184e-06, + "loss": 0.7138, + "step": 18215 + }, + { + "epoch": 0.54, + "learning_rate": 4.673854733005219e-06, + "loss": 0.7541, + "step": 18216 + }, + { + "epoch": 0.54, + "learning_rate": 4.6733799795062414e-06, + "loss": 0.818, + "step": 18217 + }, + { + "epoch": 0.54, + "learning_rate": 4.672905228964553e-06, + "loss": 0.6176, + "step": 18218 + }, + { + "epoch": 0.54, + "learning_rate": 4.672430481384452e-06, + "loss": 0.7936, + "step": 18219 + }, + { + "epoch": 0.54, + "learning_rate": 4.671955736770235e-06, + "loss": 0.7064, + "step": 18220 + }, + { + "epoch": 0.54, + "learning_rate": 4.671480995126201e-06, + "loss": 0.7247, + "step": 18221 + }, + { + "epoch": 0.54, + "learning_rate": 4.67100625645665e-06, + "loss": 0.8729, + "step": 18222 + }, + { + "epoch": 0.54, + "learning_rate": 4.670531520765878e-06, + "loss": 0.7641, + "step": 18223 + }, + { + "epoch": 0.54, + "learning_rate": 4.670056788058187e-06, + "loss": 0.6893, + "step": 18224 + }, + { + "epoch": 0.54, + "learning_rate": 4.669582058337869e-06, + "loss": 0.6939, + "step": 18225 + }, + { + "epoch": 0.54, + "learning_rate": 4.669107331609228e-06, + "loss": 0.8858, + "step": 18226 + }, + { + "epoch": 0.54, + "learning_rate": 4.668632607876562e-06, + "loss": 0.6327, + "step": 18227 + }, + { + "epoch": 0.54, + "learning_rate": 4.6681578871441666e-06, + "loss": 0.8185, + "step": 18228 + }, + { + "epoch": 0.54, + "learning_rate": 4.667683169416342e-06, + "loss": 0.7751, + "step": 18229 + }, + { + "epoch": 0.54, + "learning_rate": 4.6672084546973855e-06, + "loss": 0.7963, + "step": 18230 + }, + { + "epoch": 0.54, + "learning_rate": 4.6667337429915956e-06, + "loss": 0.6542, + "step": 18231 + }, + { + "epoch": 0.54, + "learning_rate": 4.66625903430327e-06, + "loss": 0.9253, + "step": 18232 + }, + { + "epoch": 0.54, + "learning_rate": 4.665784328636707e-06, + "loss": 0.7066, + "step": 18233 + }, + { + "epoch": 0.54, + "learning_rate": 4.665309625996205e-06, + "loss": 1.1209, + "step": 18234 + }, + { + "epoch": 0.54, + "learning_rate": 4.66483492638606e-06, + "loss": 0.9414, + "step": 18235 + }, + { + "epoch": 0.54, + "learning_rate": 4.6643602298105735e-06, + "loss": 0.5459, + "step": 18236 + }, + { + "epoch": 0.54, + "learning_rate": 4.663885536274043e-06, + "loss": 0.5165, + "step": 18237 + }, + { + "epoch": 0.54, + "learning_rate": 4.663410845780764e-06, + "loss": 0.7135, + "step": 18238 + }, + { + "epoch": 0.54, + "learning_rate": 4.662936158335035e-06, + "loss": 1.0167, + "step": 18239 + }, + { + "epoch": 0.54, + "learning_rate": 4.662461473941156e-06, + "loss": 0.8208, + "step": 18240 + }, + { + "epoch": 0.54, + "learning_rate": 4.661986792603424e-06, + "loss": 0.7818, + "step": 18241 + }, + { + "epoch": 0.54, + "learning_rate": 4.6615121143261355e-06, + "loss": 0.9776, + "step": 18242 + }, + { + "epoch": 0.54, + "learning_rate": 4.6610374391135896e-06, + "loss": 0.6194, + "step": 18243 + }, + { + "epoch": 0.54, + "learning_rate": 4.660562766970084e-06, + "loss": 0.9572, + "step": 18244 + }, + { + "epoch": 0.54, + "learning_rate": 4.660088097899913e-06, + "loss": 0.67, + "step": 18245 + }, + { + "epoch": 0.54, + "learning_rate": 4.659613431907382e-06, + "loss": 0.681, + "step": 18246 + }, + { + "epoch": 0.54, + "learning_rate": 4.6591387689967825e-06, + "loss": 0.8722, + "step": 18247 + }, + { + "epoch": 0.54, + "learning_rate": 4.658664109172415e-06, + "loss": 0.6377, + "step": 18248 + }, + { + "epoch": 0.54, + "learning_rate": 4.658189452438576e-06, + "loss": 0.7093, + "step": 18249 + }, + { + "epoch": 0.54, + "learning_rate": 4.657714798799563e-06, + "loss": 0.7724, + "step": 18250 + }, + { + "epoch": 0.54, + "learning_rate": 4.6572401482596745e-06, + "loss": 0.6637, + "step": 18251 + }, + { + "epoch": 0.54, + "learning_rate": 4.6567655008232074e-06, + "loss": 0.6593, + "step": 18252 + }, + { + "epoch": 0.54, + "learning_rate": 4.656290856494459e-06, + "loss": 0.5847, + "step": 18253 + }, + { + "epoch": 0.54, + "learning_rate": 4.655816215277727e-06, + "loss": 0.7733, + "step": 18254 + }, + { + "epoch": 0.54, + "learning_rate": 4.655341577177311e-06, + "loss": 0.5464, + "step": 18255 + }, + { + "epoch": 0.54, + "learning_rate": 4.654866942197506e-06, + "loss": 0.7762, + "step": 18256 + }, + { + "epoch": 0.54, + "learning_rate": 4.654392310342609e-06, + "loss": 0.6838, + "step": 18257 + }, + { + "epoch": 0.54, + "learning_rate": 4.653917681616919e-06, + "loss": 0.8481, + "step": 18258 + }, + { + "epoch": 0.54, + "learning_rate": 4.653443056024734e-06, + "loss": 0.6945, + "step": 18259 + }, + { + "epoch": 0.54, + "learning_rate": 4.65296843357035e-06, + "loss": 0.7494, + "step": 18260 + }, + { + "epoch": 0.54, + "learning_rate": 4.6524938142580636e-06, + "loss": 0.7954, + "step": 18261 + }, + { + "epoch": 0.54, + "learning_rate": 4.652019198092174e-06, + "loss": 0.6598, + "step": 18262 + }, + { + "epoch": 0.54, + "learning_rate": 4.651544585076978e-06, + "loss": 0.8211, + "step": 18263 + }, + { + "epoch": 0.54, + "learning_rate": 4.6510699752167696e-06, + "loss": 0.5726, + "step": 18264 + }, + { + "epoch": 0.54, + "learning_rate": 4.650595368515851e-06, + "loss": 0.8787, + "step": 18265 + }, + { + "epoch": 0.54, + "learning_rate": 4.650120764978517e-06, + "loss": 0.8248, + "step": 18266 + }, + { + "epoch": 0.54, + "learning_rate": 4.649646164609066e-06, + "loss": 0.7963, + "step": 18267 + }, + { + "epoch": 0.54, + "learning_rate": 4.649171567411794e-06, + "loss": 0.8314, + "step": 18268 + }, + { + "epoch": 0.54, + "learning_rate": 4.648696973390998e-06, + "loss": 1.0351, + "step": 18269 + }, + { + "epoch": 0.54, + "learning_rate": 4.648222382550975e-06, + "loss": 0.676, + "step": 18270 + }, + { + "epoch": 0.54, + "learning_rate": 4.647747794896023e-06, + "loss": 0.5845, + "step": 18271 + }, + { + "epoch": 0.54, + "learning_rate": 4.647273210430438e-06, + "loss": 0.7134, + "step": 18272 + }, + { + "epoch": 0.54, + "learning_rate": 4.646798629158517e-06, + "loss": 0.5714, + "step": 18273 + }, + { + "epoch": 0.54, + "learning_rate": 4.646324051084558e-06, + "loss": 0.8895, + "step": 18274 + }, + { + "epoch": 0.54, + "learning_rate": 4.645849476212857e-06, + "loss": 0.7756, + "step": 18275 + }, + { + "epoch": 0.54, + "learning_rate": 4.645374904547711e-06, + "loss": 0.7922, + "step": 18276 + }, + { + "epoch": 0.54, + "learning_rate": 4.644900336093418e-06, + "loss": 1.0477, + "step": 18277 + }, + { + "epoch": 0.54, + "learning_rate": 4.6444257708542734e-06, + "loss": 0.6532, + "step": 18278 + }, + { + "epoch": 0.54, + "learning_rate": 4.643951208834575e-06, + "loss": 0.7791, + "step": 18279 + }, + { + "epoch": 0.54, + "learning_rate": 4.643476650038618e-06, + "loss": 0.6339, + "step": 18280 + }, + { + "epoch": 0.54, + "learning_rate": 4.643002094470702e-06, + "loss": 0.8762, + "step": 18281 + }, + { + "epoch": 0.54, + "learning_rate": 4.64252754213512e-06, + "loss": 0.774, + "step": 18282 + }, + { + "epoch": 0.54, + "learning_rate": 4.642052993036173e-06, + "loss": 0.724, + "step": 18283 + }, + { + "epoch": 0.54, + "learning_rate": 4.641578447178151e-06, + "loss": 0.7204, + "step": 18284 + }, + { + "epoch": 0.54, + "learning_rate": 4.641103904565358e-06, + "loss": 0.9541, + "step": 18285 + }, + { + "epoch": 0.54, + "learning_rate": 4.640629365202088e-06, + "loss": 0.6458, + "step": 18286 + }, + { + "epoch": 0.54, + "learning_rate": 4.640154829092637e-06, + "loss": 0.6229, + "step": 18287 + }, + { + "epoch": 0.54, + "learning_rate": 4.639680296241302e-06, + "loss": 0.8309, + "step": 18288 + }, + { + "epoch": 0.54, + "learning_rate": 4.639205766652379e-06, + "loss": 0.7775, + "step": 18289 + }, + { + "epoch": 0.54, + "learning_rate": 4.638731240330165e-06, + "loss": 0.7212, + "step": 18290 + }, + { + "epoch": 0.54, + "learning_rate": 4.6382567172789565e-06, + "loss": 0.803, + "step": 18291 + }, + { + "epoch": 0.54, + "learning_rate": 4.637782197503049e-06, + "loss": 0.7332, + "step": 18292 + }, + { + "epoch": 0.54, + "learning_rate": 4.6373076810067405e-06, + "loss": 0.5622, + "step": 18293 + }, + { + "epoch": 0.54, + "learning_rate": 4.6368331677943246e-06, + "loss": 0.572, + "step": 18294 + }, + { + "epoch": 0.54, + "learning_rate": 4.636358657870101e-06, + "loss": 0.8365, + "step": 18295 + }, + { + "epoch": 0.54, + "learning_rate": 4.635884151238364e-06, + "loss": 0.7887, + "step": 18296 + }, + { + "epoch": 0.54, + "learning_rate": 4.63540964790341e-06, + "loss": 0.6924, + "step": 18297 + }, + { + "epoch": 0.54, + "learning_rate": 4.634935147869537e-06, + "loss": 0.8445, + "step": 18298 + }, + { + "epoch": 0.54, + "learning_rate": 4.634460651141039e-06, + "loss": 0.879, + "step": 18299 + }, + { + "epoch": 0.54, + "learning_rate": 4.633986157722213e-06, + "loss": 0.6502, + "step": 18300 + }, + { + "epoch": 0.54, + "learning_rate": 4.633511667617356e-06, + "loss": 0.6639, + "step": 18301 + }, + { + "epoch": 0.54, + "learning_rate": 4.633037180830763e-06, + "loss": 0.7044, + "step": 18302 + }, + { + "epoch": 0.54, + "learning_rate": 4.6325626973667306e-06, + "loss": 0.6805, + "step": 18303 + }, + { + "epoch": 0.54, + "learning_rate": 4.632088217229553e-06, + "loss": 0.6849, + "step": 18304 + }, + { + "epoch": 0.54, + "learning_rate": 4.631613740423529e-06, + "loss": 0.7893, + "step": 18305 + }, + { + "epoch": 0.54, + "learning_rate": 4.631139266952955e-06, + "loss": 0.7857, + "step": 18306 + }, + { + "epoch": 0.54, + "learning_rate": 4.6306647968221244e-06, + "loss": 0.7067, + "step": 18307 + }, + { + "epoch": 0.54, + "learning_rate": 4.630190330035335e-06, + "loss": 1.0025, + "step": 18308 + }, + { + "epoch": 0.54, + "learning_rate": 4.629715866596883e-06, + "loss": 0.7997, + "step": 18309 + }, + { + "epoch": 0.54, + "learning_rate": 4.629241406511062e-06, + "loss": 0.5017, + "step": 18310 + }, + { + "epoch": 0.54, + "learning_rate": 4.628766949782169e-06, + "loss": 0.8006, + "step": 18311 + }, + { + "epoch": 0.54, + "learning_rate": 4.628292496414501e-06, + "loss": 0.6374, + "step": 18312 + }, + { + "epoch": 0.54, + "learning_rate": 4.627818046412352e-06, + "loss": 1.0304, + "step": 18313 + }, + { + "epoch": 0.54, + "learning_rate": 4.627343599780019e-06, + "loss": 0.6694, + "step": 18314 + }, + { + "epoch": 0.54, + "learning_rate": 4.626869156521798e-06, + "loss": 0.8356, + "step": 18315 + }, + { + "epoch": 0.54, + "learning_rate": 4.626394716641983e-06, + "loss": 0.6673, + "step": 18316 + }, + { + "epoch": 0.54, + "learning_rate": 4.625920280144872e-06, + "loss": 0.6399, + "step": 18317 + }, + { + "epoch": 0.54, + "learning_rate": 4.6254458470347595e-06, + "loss": 0.5281, + "step": 18318 + }, + { + "epoch": 0.54, + "learning_rate": 4.62497141731594e-06, + "loss": 0.634, + "step": 18319 + }, + { + "epoch": 0.54, + "learning_rate": 4.6244969909927106e-06, + "loss": 0.5257, + "step": 18320 + }, + { + "epoch": 0.54, + "learning_rate": 4.624022568069367e-06, + "loss": 0.5631, + "step": 18321 + }, + { + "epoch": 0.54, + "learning_rate": 4.623548148550203e-06, + "loss": 0.7232, + "step": 18322 + }, + { + "epoch": 0.54, + "learning_rate": 4.623073732439514e-06, + "loss": 0.9062, + "step": 18323 + }, + { + "epoch": 0.54, + "learning_rate": 4.6225993197415996e-06, + "loss": 0.5818, + "step": 18324 + }, + { + "epoch": 0.54, + "learning_rate": 4.6221249104607505e-06, + "loss": 0.8112, + "step": 18325 + }, + { + "epoch": 0.54, + "learning_rate": 4.621650504601265e-06, + "loss": 0.851, + "step": 18326 + }, + { + "epoch": 0.54, + "learning_rate": 4.621176102167437e-06, + "loss": 0.5086, + "step": 18327 + }, + { + "epoch": 0.54, + "learning_rate": 4.620701703163563e-06, + "loss": 0.7891, + "step": 18328 + }, + { + "epoch": 0.54, + "learning_rate": 4.620227307593937e-06, + "loss": 0.5708, + "step": 18329 + }, + { + "epoch": 0.54, + "learning_rate": 4.619752915462855e-06, + "loss": 0.8123, + "step": 18330 + }, + { + "epoch": 0.54, + "learning_rate": 4.619278526774612e-06, + "loss": 0.5829, + "step": 18331 + }, + { + "epoch": 0.54, + "learning_rate": 4.618804141533503e-06, + "loss": 0.7631, + "step": 18332 + }, + { + "epoch": 0.54, + "learning_rate": 4.618329759743823e-06, + "loss": 0.6135, + "step": 18333 + }, + { + "epoch": 0.54, + "learning_rate": 4.617855381409868e-06, + "loss": 0.781, + "step": 18334 + }, + { + "epoch": 0.54, + "learning_rate": 4.617381006535935e-06, + "loss": 0.5696, + "step": 18335 + }, + { + "epoch": 0.54, + "learning_rate": 4.616906635126314e-06, + "loss": 0.8729, + "step": 18336 + }, + { + "epoch": 0.54, + "learning_rate": 4.616432267185304e-06, + "loss": 0.5197, + "step": 18337 + }, + { + "epoch": 0.54, + "learning_rate": 4.6159579027172e-06, + "loss": 0.4526, + "step": 18338 + }, + { + "epoch": 0.54, + "learning_rate": 4.615483541726295e-06, + "loss": 0.4992, + "step": 18339 + }, + { + "epoch": 0.54, + "learning_rate": 4.615009184216885e-06, + "loss": 0.7872, + "step": 18340 + }, + { + "epoch": 0.54, + "learning_rate": 4.614534830193264e-06, + "loss": 0.644, + "step": 18341 + }, + { + "epoch": 0.54, + "learning_rate": 4.6140604796597284e-06, + "loss": 0.8616, + "step": 18342 + }, + { + "epoch": 0.54, + "learning_rate": 4.613586132620571e-06, + "loss": 0.797, + "step": 18343 + }, + { + "epoch": 0.54, + "learning_rate": 4.61311178908009e-06, + "loss": 0.6156, + "step": 18344 + }, + { + "epoch": 0.54, + "learning_rate": 4.612637449042577e-06, + "loss": 0.5765, + "step": 18345 + }, + { + "epoch": 0.54, + "learning_rate": 4.612163112512329e-06, + "loss": 0.9154, + "step": 18346 + }, + { + "epoch": 0.54, + "learning_rate": 4.61168877949364e-06, + "loss": 0.7907, + "step": 18347 + }, + { + "epoch": 0.54, + "learning_rate": 4.611214449990804e-06, + "loss": 0.7144, + "step": 18348 + }, + { + "epoch": 0.54, + "learning_rate": 4.610740124008117e-06, + "loss": 0.8452, + "step": 18349 + }, + { + "epoch": 0.54, + "learning_rate": 4.610265801549873e-06, + "loss": 0.5734, + "step": 18350 + }, + { + "epoch": 0.54, + "learning_rate": 4.609791482620366e-06, + "loss": 0.6484, + "step": 18351 + }, + { + "epoch": 0.54, + "learning_rate": 4.6093171672238905e-06, + "loss": 0.7987, + "step": 18352 + }, + { + "epoch": 0.54, + "learning_rate": 4.608842855364742e-06, + "loss": 0.8465, + "step": 18353 + }, + { + "epoch": 0.54, + "learning_rate": 4.608368547047214e-06, + "loss": 0.9075, + "step": 18354 + }, + { + "epoch": 0.54, + "learning_rate": 4.607894242275602e-06, + "loss": 0.6563, + "step": 18355 + }, + { + "epoch": 0.54, + "learning_rate": 4.607419941054201e-06, + "loss": 0.5817, + "step": 18356 + }, + { + "epoch": 0.54, + "learning_rate": 4.606945643387304e-06, + "loss": 0.7634, + "step": 18357 + }, + { + "epoch": 0.54, + "learning_rate": 4.606471349279206e-06, + "loss": 0.8994, + "step": 18358 + }, + { + "epoch": 0.54, + "learning_rate": 4.6059970587342e-06, + "loss": 0.8208, + "step": 18359 + }, + { + "epoch": 0.54, + "learning_rate": 4.605522771756583e-06, + "loss": 0.6231, + "step": 18360 + }, + { + "epoch": 0.54, + "learning_rate": 4.605048488350648e-06, + "loss": 0.9189, + "step": 18361 + }, + { + "epoch": 0.54, + "learning_rate": 4.6045742085206885e-06, + "loss": 0.9329, + "step": 18362 + }, + { + "epoch": 0.54, + "learning_rate": 4.604099932270997e-06, + "loss": 0.6024, + "step": 18363 + }, + { + "epoch": 0.54, + "learning_rate": 4.603625659605873e-06, + "loss": 0.77, + "step": 18364 + }, + { + "epoch": 0.54, + "learning_rate": 4.603151390529608e-06, + "loss": 0.6694, + "step": 18365 + }, + { + "epoch": 0.54, + "learning_rate": 4.602677125046495e-06, + "loss": 0.7778, + "step": 18366 + }, + { + "epoch": 0.54, + "learning_rate": 4.602202863160829e-06, + "loss": 0.5799, + "step": 18367 + }, + { + "epoch": 0.54, + "learning_rate": 4.601728604876905e-06, + "loss": 0.4478, + "step": 18368 + }, + { + "epoch": 0.54, + "learning_rate": 4.601254350199015e-06, + "loss": 0.5303, + "step": 18369 + }, + { + "epoch": 0.54, + "learning_rate": 4.600780099131454e-06, + "loss": 0.7321, + "step": 18370 + }, + { + "epoch": 0.54, + "learning_rate": 4.600305851678517e-06, + "loss": 0.7112, + "step": 18371 + }, + { + "epoch": 0.54, + "learning_rate": 4.599831607844497e-06, + "loss": 0.7214, + "step": 18372 + }, + { + "epoch": 0.54, + "learning_rate": 4.599357367633686e-06, + "loss": 0.5986, + "step": 18373 + }, + { + "epoch": 0.54, + "learning_rate": 4.5988831310503816e-06, + "loss": 0.7148, + "step": 18374 + }, + { + "epoch": 0.54, + "learning_rate": 4.598408898098876e-06, + "loss": 0.6877, + "step": 18375 + }, + { + "epoch": 0.54, + "learning_rate": 4.597934668783462e-06, + "loss": 0.76, + "step": 18376 + }, + { + "epoch": 0.54, + "learning_rate": 4.597460443108435e-06, + "loss": 0.4537, + "step": 18377 + }, + { + "epoch": 0.54, + "learning_rate": 4.596986221078087e-06, + "loss": 0.6812, + "step": 18378 + }, + { + "epoch": 0.54, + "learning_rate": 4.596512002696713e-06, + "loss": 0.8076, + "step": 18379 + }, + { + "epoch": 0.54, + "learning_rate": 4.596037787968607e-06, + "loss": 0.6388, + "step": 18380 + }, + { + "epoch": 0.54, + "learning_rate": 4.595563576898061e-06, + "loss": 0.6351, + "step": 18381 + }, + { + "epoch": 0.54, + "learning_rate": 4.595089369489368e-06, + "loss": 0.5293, + "step": 18382 + }, + { + "epoch": 0.54, + "learning_rate": 4.5946151657468254e-06, + "loss": 0.5996, + "step": 18383 + }, + { + "epoch": 0.54, + "learning_rate": 4.5941409656747245e-06, + "loss": 0.8342, + "step": 18384 + }, + { + "epoch": 0.54, + "learning_rate": 4.593666769277358e-06, + "loss": 0.6243, + "step": 18385 + }, + { + "epoch": 0.54, + "learning_rate": 4.593192576559021e-06, + "loss": 0.8395, + "step": 18386 + }, + { + "epoch": 0.54, + "learning_rate": 4.592718387524006e-06, + "loss": 0.5021, + "step": 18387 + }, + { + "epoch": 0.54, + "learning_rate": 4.592244202176607e-06, + "loss": 0.7629, + "step": 18388 + }, + { + "epoch": 0.54, + "learning_rate": 4.591770020521117e-06, + "loss": 0.6095, + "step": 18389 + }, + { + "epoch": 0.54, + "learning_rate": 4.591295842561828e-06, + "loss": 0.9682, + "step": 18390 + }, + { + "epoch": 0.54, + "learning_rate": 4.590821668303036e-06, + "loss": 0.8134, + "step": 18391 + }, + { + "epoch": 0.54, + "learning_rate": 4.59034749774903e-06, + "loss": 0.8722, + "step": 18392 + }, + { + "epoch": 0.54, + "learning_rate": 4.589873330904108e-06, + "loss": 0.8039, + "step": 18393 + }, + { + "epoch": 0.54, + "learning_rate": 4.5893991677725615e-06, + "loss": 0.5692, + "step": 18394 + }, + { + "epoch": 0.54, + "learning_rate": 4.588925008358684e-06, + "loss": 0.7232, + "step": 18395 + }, + { + "epoch": 0.54, + "learning_rate": 4.588450852666768e-06, + "loss": 0.827, + "step": 18396 + }, + { + "epoch": 0.54, + "learning_rate": 4.587976700701106e-06, + "loss": 0.6117, + "step": 18397 + }, + { + "epoch": 0.54, + "learning_rate": 4.587502552465992e-06, + "loss": 0.6849, + "step": 18398 + }, + { + "epoch": 0.54, + "learning_rate": 4.587028407965719e-06, + "loss": 0.7501, + "step": 18399 + }, + { + "epoch": 0.54, + "learning_rate": 4.58655426720458e-06, + "loss": 0.7825, + "step": 18400 + }, + { + "epoch": 0.54, + "learning_rate": 4.586080130186867e-06, + "loss": 0.7212, + "step": 18401 + }, + { + "epoch": 0.54, + "learning_rate": 4.5856059969168724e-06, + "loss": 0.8493, + "step": 18402 + }, + { + "epoch": 0.54, + "learning_rate": 4.585131867398892e-06, + "loss": 0.8396, + "step": 18403 + }, + { + "epoch": 0.54, + "learning_rate": 4.584657741637218e-06, + "loss": 0.6886, + "step": 18404 + }, + { + "epoch": 0.54, + "learning_rate": 4.584183619636142e-06, + "loss": 0.7886, + "step": 18405 + }, + { + "epoch": 0.54, + "learning_rate": 4.583709501399957e-06, + "loss": 0.8548, + "step": 18406 + }, + { + "epoch": 0.54, + "learning_rate": 4.583235386932957e-06, + "loss": 0.7135, + "step": 18407 + }, + { + "epoch": 0.54, + "learning_rate": 4.582761276239432e-06, + "loss": 0.843, + "step": 18408 + }, + { + "epoch": 0.54, + "learning_rate": 4.582287169323677e-06, + "loss": 0.5505, + "step": 18409 + }, + { + "epoch": 0.54, + "learning_rate": 4.581813066189984e-06, + "loss": 0.4601, + "step": 18410 + }, + { + "epoch": 0.54, + "learning_rate": 4.581338966842646e-06, + "loss": 0.7122, + "step": 18411 + }, + { + "epoch": 0.54, + "learning_rate": 4.580864871285954e-06, + "loss": 0.7662, + "step": 18412 + }, + { + "epoch": 0.54, + "learning_rate": 4.580390779524203e-06, + "loss": 0.7388, + "step": 18413 + }, + { + "epoch": 0.54, + "learning_rate": 4.579916691561684e-06, + "loss": 1.0019, + "step": 18414 + }, + { + "epoch": 0.54, + "learning_rate": 4.57944260740269e-06, + "loss": 0.7606, + "step": 18415 + }, + { + "epoch": 0.54, + "learning_rate": 4.5789685270515136e-06, + "loss": 0.8525, + "step": 18416 + }, + { + "epoch": 0.54, + "learning_rate": 4.578494450512448e-06, + "loss": 0.7121, + "step": 18417 + }, + { + "epoch": 0.54, + "learning_rate": 4.578020377789783e-06, + "loss": 0.7249, + "step": 18418 + }, + { + "epoch": 0.54, + "learning_rate": 4.577546308887812e-06, + "loss": 0.722, + "step": 18419 + }, + { + "epoch": 0.54, + "learning_rate": 4.577072243810829e-06, + "loss": 0.5614, + "step": 18420 + }, + { + "epoch": 0.54, + "learning_rate": 4.576598182563124e-06, + "loss": 0.531, + "step": 18421 + }, + { + "epoch": 0.54, + "learning_rate": 4.57612412514899e-06, + "loss": 0.7085, + "step": 18422 + }, + { + "epoch": 0.54, + "learning_rate": 4.57565007157272e-06, + "loss": 0.7617, + "step": 18423 + }, + { + "epoch": 0.54, + "learning_rate": 4.575176021838607e-06, + "loss": 0.7843, + "step": 18424 + }, + { + "epoch": 0.54, + "learning_rate": 4.574701975950941e-06, + "loss": 0.805, + "step": 18425 + }, + { + "epoch": 0.54, + "learning_rate": 4.574227933914015e-06, + "loss": 0.6482, + "step": 18426 + }, + { + "epoch": 0.54, + "learning_rate": 4.573753895732122e-06, + "loss": 0.4766, + "step": 18427 + }, + { + "epoch": 0.54, + "learning_rate": 4.573279861409553e-06, + "loss": 1.0464, + "step": 18428 + }, + { + "epoch": 0.54, + "learning_rate": 4.572805830950599e-06, + "loss": 0.7041, + "step": 18429 + }, + { + "epoch": 0.54, + "learning_rate": 4.5723318043595545e-06, + "loss": 0.4663, + "step": 18430 + }, + { + "epoch": 0.54, + "learning_rate": 4.571857781640709e-06, + "loss": 0.5708, + "step": 18431 + }, + { + "epoch": 0.54, + "learning_rate": 4.571383762798355e-06, + "loss": 0.8539, + "step": 18432 + }, + { + "epoch": 0.54, + "learning_rate": 4.570909747836785e-06, + "loss": 0.7303, + "step": 18433 + }, + { + "epoch": 0.54, + "learning_rate": 4.570435736760292e-06, + "loss": 0.5229, + "step": 18434 + }, + { + "epoch": 0.54, + "learning_rate": 4.569961729573166e-06, + "loss": 0.897, + "step": 18435 + }, + { + "epoch": 0.54, + "learning_rate": 4.5694877262796985e-06, + "loss": 0.6591, + "step": 18436 + }, + { + "epoch": 0.54, + "learning_rate": 4.569013726884183e-06, + "loss": 0.6403, + "step": 18437 + }, + { + "epoch": 0.54, + "learning_rate": 4.56853973139091e-06, + "loss": 0.803, + "step": 18438 + }, + { + "epoch": 0.54, + "learning_rate": 4.56806573980417e-06, + "loss": 0.7356, + "step": 18439 + }, + { + "epoch": 0.54, + "learning_rate": 4.5675917521282576e-06, + "loss": 0.9874, + "step": 18440 + }, + { + "epoch": 0.54, + "learning_rate": 4.567117768367462e-06, + "loss": 1.0412, + "step": 18441 + }, + { + "epoch": 0.54, + "learning_rate": 4.566643788526073e-06, + "loss": 0.8611, + "step": 18442 + }, + { + "epoch": 0.54, + "learning_rate": 4.566169812608388e-06, + "loss": 0.7022, + "step": 18443 + }, + { + "epoch": 0.54, + "learning_rate": 4.5656958406186935e-06, + "loss": 0.7724, + "step": 18444 + }, + { + "epoch": 0.54, + "learning_rate": 4.5652218725612835e-06, + "loss": 0.815, + "step": 18445 + }, + { + "epoch": 0.54, + "learning_rate": 4.564747908440448e-06, + "loss": 0.8809, + "step": 18446 + }, + { + "epoch": 0.54, + "learning_rate": 4.564273948260479e-06, + "loss": 0.6463, + "step": 18447 + }, + { + "epoch": 0.54, + "learning_rate": 4.563799992025668e-06, + "loss": 0.7004, + "step": 18448 + }, + { + "epoch": 0.54, + "learning_rate": 4.563326039740305e-06, + "loss": 0.6627, + "step": 18449 + }, + { + "epoch": 0.54, + "learning_rate": 4.562852091408682e-06, + "loss": 0.6674, + "step": 18450 + }, + { + "epoch": 0.54, + "learning_rate": 4.562378147035091e-06, + "loss": 0.7261, + "step": 18451 + }, + { + "epoch": 0.54, + "learning_rate": 4.5619042066238225e-06, + "loss": 0.5727, + "step": 18452 + }, + { + "epoch": 0.54, + "learning_rate": 4.561430270179168e-06, + "loss": 0.5878, + "step": 18453 + }, + { + "epoch": 0.54, + "learning_rate": 4.560956337705419e-06, + "loss": 0.7811, + "step": 18454 + }, + { + "epoch": 0.54, + "learning_rate": 4.560482409206865e-06, + "loss": 0.7158, + "step": 18455 + }, + { + "epoch": 0.54, + "learning_rate": 4.560008484687798e-06, + "loss": 0.8663, + "step": 18456 + }, + { + "epoch": 0.54, + "learning_rate": 4.55953456415251e-06, + "loss": 0.7341, + "step": 18457 + }, + { + "epoch": 0.54, + "learning_rate": 4.55906064760529e-06, + "loss": 0.7416, + "step": 18458 + }, + { + "epoch": 0.54, + "learning_rate": 4.55858673505043e-06, + "loss": 0.6777, + "step": 18459 + }, + { + "epoch": 0.54, + "learning_rate": 4.558112826492222e-06, + "loss": 0.7678, + "step": 18460 + }, + { + "epoch": 0.54, + "learning_rate": 4.557638921934953e-06, + "loss": 0.6288, + "step": 18461 + }, + { + "epoch": 0.54, + "learning_rate": 4.5571650213829184e-06, + "loss": 0.8578, + "step": 18462 + }, + { + "epoch": 0.54, + "learning_rate": 4.556691124840408e-06, + "loss": 0.86, + "step": 18463 + }, + { + "epoch": 0.54, + "learning_rate": 4.556217232311711e-06, + "loss": 0.7751, + "step": 18464 + }, + { + "epoch": 0.54, + "learning_rate": 4.555743343801119e-06, + "loss": 0.8035, + "step": 18465 + }, + { + "epoch": 0.54, + "learning_rate": 4.5552694593129224e-06, + "loss": 0.9146, + "step": 18466 + }, + { + "epoch": 0.54, + "learning_rate": 4.554795578851413e-06, + "loss": 0.7593, + "step": 18467 + }, + { + "epoch": 0.54, + "learning_rate": 4.5543217024208796e-06, + "loss": 0.7183, + "step": 18468 + }, + { + "epoch": 0.54, + "learning_rate": 4.553847830025613e-06, + "loss": 0.5103, + "step": 18469 + }, + { + "epoch": 0.54, + "learning_rate": 4.553373961669906e-06, + "loss": 0.7877, + "step": 18470 + }, + { + "epoch": 0.54, + "learning_rate": 4.552900097358044e-06, + "loss": 0.6903, + "step": 18471 + }, + { + "epoch": 0.54, + "learning_rate": 4.552426237094323e-06, + "loss": 0.7581, + "step": 18472 + }, + { + "epoch": 0.54, + "learning_rate": 4.551952380883032e-06, + "loss": 0.7241, + "step": 18473 + }, + { + "epoch": 0.54, + "learning_rate": 4.5514785287284615e-06, + "loss": 0.8693, + "step": 18474 + }, + { + "epoch": 0.54, + "learning_rate": 4.5510046806349005e-06, + "loss": 0.7487, + "step": 18475 + }, + { + "epoch": 0.54, + "learning_rate": 4.5505308366066394e-06, + "loss": 0.4596, + "step": 18476 + }, + { + "epoch": 0.54, + "learning_rate": 4.550056996647969e-06, + "loss": 0.694, + "step": 18477 + }, + { + "epoch": 0.54, + "learning_rate": 4.5495831607631804e-06, + "loss": 0.972, + "step": 18478 + }, + { + "epoch": 0.54, + "learning_rate": 4.549109328956562e-06, + "loss": 0.7623, + "step": 18479 + }, + { + "epoch": 0.54, + "learning_rate": 4.548635501232406e-06, + "loss": 0.8037, + "step": 18480 + }, + { + "epoch": 0.54, + "learning_rate": 4.548161677594999e-06, + "loss": 0.755, + "step": 18481 + }, + { + "epoch": 0.54, + "learning_rate": 4.547687858048635e-06, + "loss": 0.6613, + "step": 18482 + }, + { + "epoch": 0.54, + "learning_rate": 4.547214042597604e-06, + "loss": 0.7958, + "step": 18483 + }, + { + "epoch": 0.54, + "learning_rate": 4.5467402312461935e-06, + "loss": 0.8954, + "step": 18484 + }, + { + "epoch": 0.54, + "learning_rate": 4.546266423998695e-06, + "loss": 0.96, + "step": 18485 + }, + { + "epoch": 0.54, + "learning_rate": 4.5457926208593984e-06, + "loss": 0.8721, + "step": 18486 + }, + { + "epoch": 0.54, + "learning_rate": 4.545318821832593e-06, + "loss": 0.8582, + "step": 18487 + }, + { + "epoch": 0.54, + "learning_rate": 4.544845026922569e-06, + "loss": 0.7263, + "step": 18488 + }, + { + "epoch": 0.54, + "learning_rate": 4.544371236133616e-06, + "loss": 0.5755, + "step": 18489 + }, + { + "epoch": 0.54, + "learning_rate": 4.543897449470025e-06, + "loss": 0.807, + "step": 18490 + }, + { + "epoch": 0.54, + "learning_rate": 4.543423666936082e-06, + "loss": 0.5913, + "step": 18491 + }, + { + "epoch": 0.54, + "learning_rate": 4.542949888536082e-06, + "loss": 0.936, + "step": 18492 + }, + { + "epoch": 0.54, + "learning_rate": 4.542476114274312e-06, + "loss": 0.7326, + "step": 18493 + }, + { + "epoch": 0.54, + "learning_rate": 4.542002344155063e-06, + "loss": 0.7238, + "step": 18494 + }, + { + "epoch": 0.54, + "learning_rate": 4.541528578182623e-06, + "loss": 0.7278, + "step": 18495 + }, + { + "epoch": 0.54, + "learning_rate": 4.541054816361281e-06, + "loss": 0.8812, + "step": 18496 + }, + { + "epoch": 0.54, + "learning_rate": 4.540581058695328e-06, + "loss": 0.6558, + "step": 18497 + }, + { + "epoch": 0.54, + "learning_rate": 4.540107305189054e-06, + "loss": 0.8323, + "step": 18498 + }, + { + "epoch": 0.54, + "learning_rate": 4.539633555846748e-06, + "loss": 0.7715, + "step": 18499 + }, + { + "epoch": 0.54, + "learning_rate": 4.5391598106726985e-06, + "loss": 0.7958, + "step": 18500 + }, + { + "epoch": 0.54, + "learning_rate": 4.538686069671194e-06, + "loss": 0.8042, + "step": 18501 + }, + { + "epoch": 0.54, + "learning_rate": 4.538212332846526e-06, + "loss": 0.7818, + "step": 18502 + }, + { + "epoch": 0.54, + "learning_rate": 4.537738600202983e-06, + "loss": 0.7427, + "step": 18503 + }, + { + "epoch": 0.54, + "learning_rate": 4.537264871744855e-06, + "loss": 0.8265, + "step": 18504 + }, + { + "epoch": 0.54, + "learning_rate": 4.536791147476431e-06, + "loss": 1.0468, + "step": 18505 + }, + { + "epoch": 0.54, + "learning_rate": 4.536317427401999e-06, + "loss": 0.6569, + "step": 18506 + }, + { + "epoch": 0.54, + "learning_rate": 4.53584371152585e-06, + "loss": 0.8336, + "step": 18507 + }, + { + "epoch": 0.54, + "learning_rate": 4.535369999852272e-06, + "loss": 0.863, + "step": 18508 + }, + { + "epoch": 0.54, + "learning_rate": 4.534896292385553e-06, + "loss": 0.8778, + "step": 18509 + }, + { + "epoch": 0.54, + "learning_rate": 4.534422589129984e-06, + "loss": 0.6471, + "step": 18510 + }, + { + "epoch": 0.54, + "learning_rate": 4.5339488900898516e-06, + "loss": 0.7602, + "step": 18511 + }, + { + "epoch": 0.54, + "learning_rate": 4.533475195269448e-06, + "loss": 0.77, + "step": 18512 + }, + { + "epoch": 0.54, + "learning_rate": 4.533001504673061e-06, + "loss": 0.7522, + "step": 18513 + }, + { + "epoch": 0.54, + "learning_rate": 4.5325278183049786e-06, + "loss": 0.7975, + "step": 18514 + }, + { + "epoch": 0.54, + "learning_rate": 4.53205413616949e-06, + "loss": 0.6267, + "step": 18515 + }, + { + "epoch": 0.54, + "learning_rate": 4.531580458270885e-06, + "loss": 0.6986, + "step": 18516 + }, + { + "epoch": 0.54, + "learning_rate": 4.531106784613451e-06, + "loss": 0.8249, + "step": 18517 + }, + { + "epoch": 0.54, + "learning_rate": 4.530633115201478e-06, + "loss": 0.6382, + "step": 18518 + }, + { + "epoch": 0.54, + "learning_rate": 4.530159450039253e-06, + "loss": 0.6517, + "step": 18519 + }, + { + "epoch": 0.54, + "learning_rate": 4.529685789131065e-06, + "loss": 0.5904, + "step": 18520 + }, + { + "epoch": 0.54, + "learning_rate": 4.529212132481204e-06, + "loss": 0.8087, + "step": 18521 + }, + { + "epoch": 0.54, + "learning_rate": 4.528738480093958e-06, + "loss": 0.7715, + "step": 18522 + }, + { + "epoch": 0.54, + "learning_rate": 4.528264831973616e-06, + "loss": 0.6451, + "step": 18523 + }, + { + "epoch": 0.54, + "learning_rate": 4.5277911881244654e-06, + "loss": 0.4144, + "step": 18524 + }, + { + "epoch": 0.54, + "learning_rate": 4.527317548550795e-06, + "loss": 0.7295, + "step": 18525 + }, + { + "epoch": 0.54, + "learning_rate": 4.526843913256894e-06, + "loss": 0.7953, + "step": 18526 + }, + { + "epoch": 0.54, + "learning_rate": 4.52637028224705e-06, + "loss": 0.8064, + "step": 18527 + }, + { + "epoch": 0.54, + "learning_rate": 4.525896655525551e-06, + "loss": 0.8046, + "step": 18528 + }, + { + "epoch": 0.54, + "learning_rate": 4.525423033096687e-06, + "loss": 0.5656, + "step": 18529 + }, + { + "epoch": 0.54, + "learning_rate": 4.524949414964743e-06, + "loss": 0.6105, + "step": 18530 + }, + { + "epoch": 0.54, + "learning_rate": 4.524475801134011e-06, + "loss": 0.7208, + "step": 18531 + }, + { + "epoch": 0.54, + "learning_rate": 4.524002191608777e-06, + "loss": 0.616, + "step": 18532 + }, + { + "epoch": 0.54, + "learning_rate": 4.523528586393331e-06, + "loss": 0.7909, + "step": 18533 + }, + { + "epoch": 0.54, + "learning_rate": 4.523054985491959e-06, + "loss": 0.6128, + "step": 18534 + }, + { + "epoch": 0.54, + "learning_rate": 4.5225813889089506e-06, + "loss": 0.8294, + "step": 18535 + }, + { + "epoch": 0.54, + "learning_rate": 4.522107796648593e-06, + "loss": 0.6952, + "step": 18536 + }, + { + "epoch": 0.54, + "learning_rate": 4.521634208715175e-06, + "loss": 0.5609, + "step": 18537 + }, + { + "epoch": 0.54, + "learning_rate": 4.521160625112984e-06, + "loss": 0.7193, + "step": 18538 + }, + { + "epoch": 0.54, + "learning_rate": 4.520687045846307e-06, + "loss": 0.925, + "step": 18539 + }, + { + "epoch": 0.54, + "learning_rate": 4.5202134709194325e-06, + "loss": 0.5747, + "step": 18540 + }, + { + "epoch": 0.54, + "learning_rate": 4.51973990033665e-06, + "loss": 0.5233, + "step": 18541 + }, + { + "epoch": 0.54, + "learning_rate": 4.5192663341022455e-06, + "loss": 0.8023, + "step": 18542 + }, + { + "epoch": 0.54, + "learning_rate": 4.5187927722205075e-06, + "loss": 0.7053, + "step": 18543 + }, + { + "epoch": 0.54, + "learning_rate": 4.518319214695723e-06, + "loss": 0.7026, + "step": 18544 + }, + { + "epoch": 0.54, + "learning_rate": 4.517845661532181e-06, + "loss": 0.78, + "step": 18545 + }, + { + "epoch": 0.54, + "learning_rate": 4.517372112734167e-06, + "loss": 0.5207, + "step": 18546 + }, + { + "epoch": 0.54, + "learning_rate": 4.516898568305971e-06, + "loss": 0.7277, + "step": 18547 + }, + { + "epoch": 0.54, + "learning_rate": 4.51642502825188e-06, + "loss": 0.62, + "step": 18548 + }, + { + "epoch": 0.54, + "learning_rate": 4.515951492576181e-06, + "loss": 0.7404, + "step": 18549 + }, + { + "epoch": 0.54, + "learning_rate": 4.515477961283158e-06, + "loss": 0.5672, + "step": 18550 + }, + { + "epoch": 0.55, + "learning_rate": 4.515004434377106e-06, + "loss": 0.7015, + "step": 18551 + }, + { + "epoch": 0.55, + "learning_rate": 4.514530911862307e-06, + "loss": 0.9108, + "step": 18552 + }, + { + "epoch": 0.55, + "learning_rate": 4.514057393743051e-06, + "loss": 0.6, + "step": 18553 + }, + { + "epoch": 0.55, + "learning_rate": 4.513583880023622e-06, + "loss": 0.6944, + "step": 18554 + }, + { + "epoch": 0.55, + "learning_rate": 4.513110370708311e-06, + "loss": 0.7007, + "step": 18555 + }, + { + "epoch": 0.55, + "learning_rate": 4.512636865801404e-06, + "loss": 0.9364, + "step": 18556 + }, + { + "epoch": 0.55, + "learning_rate": 4.512163365307188e-06, + "loss": 0.8449, + "step": 18557 + }, + { + "epoch": 0.55, + "learning_rate": 4.511689869229949e-06, + "loss": 0.747, + "step": 18558 + }, + { + "epoch": 0.55, + "learning_rate": 4.511216377573976e-06, + "loss": 0.6182, + "step": 18559 + }, + { + "epoch": 0.55, + "learning_rate": 4.510742890343554e-06, + "loss": 0.6672, + "step": 18560 + }, + { + "epoch": 0.55, + "learning_rate": 4.510269407542972e-06, + "loss": 0.5986, + "step": 18561 + }, + { + "epoch": 0.55, + "learning_rate": 4.509795929176518e-06, + "loss": 0.6369, + "step": 18562 + }, + { + "epoch": 0.55, + "learning_rate": 4.509322455248475e-06, + "loss": 0.7175, + "step": 18563 + }, + { + "epoch": 0.55, + "learning_rate": 4.508848985763134e-06, + "loss": 0.7469, + "step": 18564 + }, + { + "epoch": 0.55, + "learning_rate": 4.50837552072478e-06, + "loss": 0.7473, + "step": 18565 + }, + { + "epoch": 0.55, + "learning_rate": 4.5079020601376995e-06, + "loss": 0.7398, + "step": 18566 + }, + { + "epoch": 0.55, + "learning_rate": 4.50742860400618e-06, + "loss": 0.7991, + "step": 18567 + }, + { + "epoch": 0.55, + "learning_rate": 4.506955152334509e-06, + "loss": 0.5641, + "step": 18568 + }, + { + "epoch": 0.55, + "learning_rate": 4.506481705126971e-06, + "loss": 0.8257, + "step": 18569 + }, + { + "epoch": 0.55, + "learning_rate": 4.506008262387852e-06, + "loss": 0.9117, + "step": 18570 + }, + { + "epoch": 0.55, + "learning_rate": 4.505534824121444e-06, + "loss": 0.6359, + "step": 18571 + }, + { + "epoch": 0.55, + "learning_rate": 4.50506139033203e-06, + "loss": 0.6778, + "step": 18572 + }, + { + "epoch": 0.55, + "learning_rate": 4.504587961023896e-06, + "loss": 0.7529, + "step": 18573 + }, + { + "epoch": 0.55, + "learning_rate": 4.50411453620133e-06, + "loss": 0.6788, + "step": 18574 + }, + { + "epoch": 0.55, + "learning_rate": 4.5036411158686184e-06, + "loss": 0.9033, + "step": 18575 + }, + { + "epoch": 0.55, + "learning_rate": 4.5031677000300465e-06, + "loss": 0.7301, + "step": 18576 + }, + { + "epoch": 0.55, + "learning_rate": 4.502694288689901e-06, + "loss": 0.6762, + "step": 18577 + }, + { + "epoch": 0.55, + "learning_rate": 4.502220881852471e-06, + "loss": 0.787, + "step": 18578 + }, + { + "epoch": 0.55, + "learning_rate": 4.501747479522037e-06, + "loss": 0.5411, + "step": 18579 + }, + { + "epoch": 0.55, + "learning_rate": 4.501274081702891e-06, + "loss": 0.838, + "step": 18580 + }, + { + "epoch": 0.55, + "learning_rate": 4.500800688399316e-06, + "loss": 0.6579, + "step": 18581 + }, + { + "epoch": 0.55, + "learning_rate": 4.5003272996156e-06, + "loss": 0.6929, + "step": 18582 + }, + { + "epoch": 0.55, + "learning_rate": 4.499853915356028e-06, + "loss": 0.8108, + "step": 18583 + }, + { + "epoch": 0.55, + "learning_rate": 4.4993805356248866e-06, + "loss": 0.6646, + "step": 18584 + }, + { + "epoch": 0.55, + "learning_rate": 4.498907160426461e-06, + "loss": 0.7647, + "step": 18585 + }, + { + "epoch": 0.55, + "learning_rate": 4.498433789765039e-06, + "loss": 0.7986, + "step": 18586 + }, + { + "epoch": 0.55, + "learning_rate": 4.4979604236449056e-06, + "loss": 0.8086, + "step": 18587 + }, + { + "epoch": 0.55, + "learning_rate": 4.4974870620703465e-06, + "loss": 0.6709, + "step": 18588 + }, + { + "epoch": 0.55, + "learning_rate": 4.497013705045646e-06, + "loss": 0.7351, + "step": 18589 + }, + { + "epoch": 0.55, + "learning_rate": 4.496540352575094e-06, + "loss": 0.6364, + "step": 18590 + }, + { + "epoch": 0.55, + "learning_rate": 4.496067004662974e-06, + "loss": 0.7111, + "step": 18591 + }, + { + "epoch": 0.55, + "learning_rate": 4.495593661313572e-06, + "loss": 0.7608, + "step": 18592 + }, + { + "epoch": 0.55, + "learning_rate": 4.495120322531174e-06, + "loss": 0.6683, + "step": 18593 + }, + { + "epoch": 0.55, + "learning_rate": 4.494646988320065e-06, + "loss": 0.6771, + "step": 18594 + }, + { + "epoch": 0.55, + "learning_rate": 4.494173658684531e-06, + "loss": 0.5152, + "step": 18595 + }, + { + "epoch": 0.55, + "learning_rate": 4.4937003336288585e-06, + "loss": 0.718, + "step": 18596 + }, + { + "epoch": 0.55, + "learning_rate": 4.493227013157332e-06, + "loss": 0.74, + "step": 18597 + }, + { + "epoch": 0.55, + "learning_rate": 4.492753697274238e-06, + "loss": 0.5443, + "step": 18598 + }, + { + "epoch": 0.55, + "learning_rate": 4.492280385983859e-06, + "loss": 0.8754, + "step": 18599 + }, + { + "epoch": 0.55, + "learning_rate": 4.491807079290486e-06, + "loss": 0.739, + "step": 18600 + }, + { + "epoch": 0.55, + "learning_rate": 4.491333777198399e-06, + "loss": 0.4409, + "step": 18601 + }, + { + "epoch": 0.55, + "learning_rate": 4.490860479711887e-06, + "loss": 0.7028, + "step": 18602 + }, + { + "epoch": 0.55, + "learning_rate": 4.490387186835234e-06, + "loss": 0.7095, + "step": 18603 + }, + { + "epoch": 0.55, + "learning_rate": 4.489913898572725e-06, + "loss": 0.6926, + "step": 18604 + }, + { + "epoch": 0.55, + "learning_rate": 4.489440614928645e-06, + "loss": 0.6275, + "step": 18605 + }, + { + "epoch": 0.55, + "learning_rate": 4.48896733590728e-06, + "loss": 0.6819, + "step": 18606 + }, + { + "epoch": 0.55, + "learning_rate": 4.4884940615129156e-06, + "loss": 0.898, + "step": 18607 + }, + { + "epoch": 0.55, + "learning_rate": 4.488020791749836e-06, + "loss": 0.9358, + "step": 18608 + }, + { + "epoch": 0.55, + "learning_rate": 4.487547526622325e-06, + "loss": 0.6645, + "step": 18609 + }, + { + "epoch": 0.55, + "learning_rate": 4.48707426613467e-06, + "loss": 0.7742, + "step": 18610 + }, + { + "epoch": 0.55, + "learning_rate": 4.486601010291156e-06, + "loss": 0.7181, + "step": 18611 + }, + { + "epoch": 0.55, + "learning_rate": 4.486127759096067e-06, + "loss": 0.6682, + "step": 18612 + }, + { + "epoch": 0.55, + "learning_rate": 4.485654512553688e-06, + "loss": 0.9843, + "step": 18613 + }, + { + "epoch": 0.55, + "learning_rate": 4.485181270668304e-06, + "loss": 0.6587, + "step": 18614 + }, + { + "epoch": 0.55, + "learning_rate": 4.4847080334442004e-06, + "loss": 0.731, + "step": 18615 + }, + { + "epoch": 0.55, + "learning_rate": 4.48423480088566e-06, + "loss": 0.5323, + "step": 18616 + }, + { + "epoch": 0.55, + "learning_rate": 4.483761572996971e-06, + "loss": 0.5376, + "step": 18617 + }, + { + "epoch": 0.55, + "learning_rate": 4.4832883497824136e-06, + "loss": 0.4603, + "step": 18618 + }, + { + "epoch": 0.55, + "learning_rate": 4.482815131246275e-06, + "loss": 0.6359, + "step": 18619 + }, + { + "epoch": 0.55, + "learning_rate": 4.482341917392841e-06, + "loss": 1.1206, + "step": 18620 + }, + { + "epoch": 0.55, + "learning_rate": 4.481868708226395e-06, + "loss": 0.9458, + "step": 18621 + }, + { + "epoch": 0.55, + "learning_rate": 4.481395503751221e-06, + "loss": 0.5756, + "step": 18622 + }, + { + "epoch": 0.55, + "learning_rate": 4.480922303971603e-06, + "loss": 0.6206, + "step": 18623 + }, + { + "epoch": 0.55, + "learning_rate": 4.4804491088918285e-06, + "loss": 0.821, + "step": 18624 + }, + { + "epoch": 0.55, + "learning_rate": 4.479975918516178e-06, + "loss": 1.0223, + "step": 18625 + }, + { + "epoch": 0.55, + "learning_rate": 4.479502732848939e-06, + "loss": 0.7634, + "step": 18626 + }, + { + "epoch": 0.55, + "learning_rate": 4.479029551894394e-06, + "loss": 0.8381, + "step": 18627 + }, + { + "epoch": 0.55, + "learning_rate": 4.478556375656828e-06, + "loss": 0.8932, + "step": 18628 + }, + { + "epoch": 0.55, + "learning_rate": 4.478083204140522e-06, + "loss": 0.6566, + "step": 18629 + }, + { + "epoch": 0.55, + "learning_rate": 4.477610037349766e-06, + "loss": 0.8962, + "step": 18630 + }, + { + "epoch": 0.55, + "learning_rate": 4.4771368752888415e-06, + "loss": 0.8698, + "step": 18631 + }, + { + "epoch": 0.55, + "learning_rate": 4.476663717962032e-06, + "loss": 0.7985, + "step": 18632 + }, + { + "epoch": 0.55, + "learning_rate": 4.476190565373623e-06, + "loss": 0.589, + "step": 18633 + }, + { + "epoch": 0.55, + "learning_rate": 4.4757174175278965e-06, + "loss": 0.659, + "step": 18634 + }, + { + "epoch": 0.55, + "learning_rate": 4.475244274429138e-06, + "loss": 0.7602, + "step": 18635 + }, + { + "epoch": 0.55, + "learning_rate": 4.474771136081631e-06, + "loss": 0.613, + "step": 18636 + }, + { + "epoch": 0.55, + "learning_rate": 4.474298002489659e-06, + "loss": 0.6356, + "step": 18637 + }, + { + "epoch": 0.55, + "learning_rate": 4.473824873657507e-06, + "loss": 0.736, + "step": 18638 + }, + { + "epoch": 0.55, + "learning_rate": 4.473351749589457e-06, + "loss": 1.0901, + "step": 18639 + }, + { + "epoch": 0.55, + "learning_rate": 4.4728786302897934e-06, + "loss": 0.7607, + "step": 18640 + }, + { + "epoch": 0.55, + "learning_rate": 4.472405515762802e-06, + "loss": 0.7342, + "step": 18641 + }, + { + "epoch": 0.55, + "learning_rate": 4.471932406012764e-06, + "loss": 0.896, + "step": 18642 + }, + { + "epoch": 0.55, + "learning_rate": 4.471459301043964e-06, + "loss": 0.5752, + "step": 18643 + }, + { + "epoch": 0.55, + "learning_rate": 4.470986200860685e-06, + "loss": 0.6181, + "step": 18644 + }, + { + "epoch": 0.55, + "learning_rate": 4.470513105467213e-06, + "loss": 0.5775, + "step": 18645 + }, + { + "epoch": 0.55, + "learning_rate": 4.470040014867828e-06, + "loss": 0.6457, + "step": 18646 + }, + { + "epoch": 0.55, + "learning_rate": 4.469566929066814e-06, + "loss": 0.7711, + "step": 18647 + }, + { + "epoch": 0.55, + "learning_rate": 4.4690938480684545e-06, + "loss": 0.7702, + "step": 18648 + }, + { + "epoch": 0.55, + "learning_rate": 4.468620771877036e-06, + "loss": 0.7457, + "step": 18649 + }, + { + "epoch": 0.55, + "learning_rate": 4.468147700496839e-06, + "loss": 1.0836, + "step": 18650 + }, + { + "epoch": 0.55, + "learning_rate": 4.467674633932148e-06, + "loss": 0.5536, + "step": 18651 + }, + { + "epoch": 0.55, + "learning_rate": 4.4672015721872455e-06, + "loss": 0.5814, + "step": 18652 + }, + { + "epoch": 0.55, + "learning_rate": 4.466728515266415e-06, + "loss": 0.7167, + "step": 18653 + }, + { + "epoch": 0.55, + "learning_rate": 4.466255463173939e-06, + "loss": 0.6025, + "step": 18654 + }, + { + "epoch": 0.55, + "learning_rate": 4.465782415914102e-06, + "loss": 0.7857, + "step": 18655 + }, + { + "epoch": 0.55, + "learning_rate": 4.465309373491185e-06, + "loss": 0.7601, + "step": 18656 + }, + { + "epoch": 0.55, + "learning_rate": 4.464836335909473e-06, + "loss": 0.983, + "step": 18657 + }, + { + "epoch": 0.55, + "learning_rate": 4.4643633031732466e-06, + "loss": 0.9517, + "step": 18658 + }, + { + "epoch": 0.55, + "learning_rate": 4.463890275286792e-06, + "loss": 0.8058, + "step": 18659 + }, + { + "epoch": 0.55, + "learning_rate": 4.46341725225439e-06, + "loss": 0.8284, + "step": 18660 + }, + { + "epoch": 0.55, + "learning_rate": 4.462944234080324e-06, + "loss": 0.922, + "step": 18661 + }, + { + "epoch": 0.55, + "learning_rate": 4.4624712207688775e-06, + "loss": 0.5881, + "step": 18662 + }, + { + "epoch": 0.55, + "learning_rate": 4.461998212324332e-06, + "loss": 0.7266, + "step": 18663 + }, + { + "epoch": 0.55, + "learning_rate": 4.4615252087509705e-06, + "loss": 0.4243, + "step": 18664 + }, + { + "epoch": 0.55, + "learning_rate": 4.4610522100530755e-06, + "loss": 0.6365, + "step": 18665 + }, + { + "epoch": 0.55, + "learning_rate": 4.460579216234931e-06, + "loss": 0.4063, + "step": 18666 + }, + { + "epoch": 0.55, + "learning_rate": 4.4601062273008175e-06, + "loss": 0.7204, + "step": 18667 + }, + { + "epoch": 0.55, + "learning_rate": 4.459633243255017e-06, + "loss": 0.762, + "step": 18668 + }, + { + "epoch": 0.55, + "learning_rate": 4.459160264101816e-06, + "loss": 0.7573, + "step": 18669 + }, + { + "epoch": 0.55, + "learning_rate": 4.458687289845494e-06, + "loss": 0.7254, + "step": 18670 + }, + { + "epoch": 0.55, + "learning_rate": 4.458214320490334e-06, + "loss": 0.7524, + "step": 18671 + }, + { + "epoch": 0.55, + "learning_rate": 4.457741356040619e-06, + "loss": 0.6769, + "step": 18672 + }, + { + "epoch": 0.55, + "learning_rate": 4.457268396500631e-06, + "loss": 0.8563, + "step": 18673 + }, + { + "epoch": 0.55, + "learning_rate": 4.4567954418746514e-06, + "loss": 0.6734, + "step": 18674 + }, + { + "epoch": 0.55, + "learning_rate": 4.456322492166963e-06, + "loss": 0.7531, + "step": 18675 + }, + { + "epoch": 0.55, + "learning_rate": 4.455849547381848e-06, + "loss": 0.6779, + "step": 18676 + }, + { + "epoch": 0.55, + "learning_rate": 4.4553766075235884e-06, + "loss": 0.7912, + "step": 18677 + }, + { + "epoch": 0.55, + "learning_rate": 4.4549036725964654e-06, + "loss": 0.7098, + "step": 18678 + }, + { + "epoch": 0.55, + "learning_rate": 4.454430742604764e-06, + "loss": 0.7262, + "step": 18679 + }, + { + "epoch": 0.55, + "learning_rate": 4.453957817552763e-06, + "loss": 0.7555, + "step": 18680 + }, + { + "epoch": 0.55, + "learning_rate": 4.453484897444746e-06, + "loss": 0.6359, + "step": 18681 + }, + { + "epoch": 0.55, + "learning_rate": 4.453011982284995e-06, + "loss": 0.8547, + "step": 18682 + }, + { + "epoch": 0.55, + "learning_rate": 4.452539072077791e-06, + "loss": 0.576, + "step": 18683 + }, + { + "epoch": 0.55, + "learning_rate": 4.452066166827417e-06, + "loss": 0.7101, + "step": 18684 + }, + { + "epoch": 0.55, + "learning_rate": 4.451593266538154e-06, + "loss": 0.6892, + "step": 18685 + }, + { + "epoch": 0.55, + "learning_rate": 4.451120371214283e-06, + "loss": 0.6653, + "step": 18686 + }, + { + "epoch": 0.55, + "learning_rate": 4.450647480860087e-06, + "loss": 0.7849, + "step": 18687 + }, + { + "epoch": 0.55, + "learning_rate": 4.450174595479845e-06, + "loss": 0.6031, + "step": 18688 + }, + { + "epoch": 0.55, + "learning_rate": 4.449701715077843e-06, + "loss": 0.9333, + "step": 18689 + }, + { + "epoch": 0.55, + "learning_rate": 4.4492288396583595e-06, + "loss": 0.7003, + "step": 18690 + }, + { + "epoch": 0.55, + "learning_rate": 4.448755969225678e-06, + "loss": 0.8484, + "step": 18691 + }, + { + "epoch": 0.55, + "learning_rate": 4.4482831037840785e-06, + "loss": 0.8429, + "step": 18692 + }, + { + "epoch": 0.55, + "learning_rate": 4.4478102433378425e-06, + "loss": 0.5541, + "step": 18693 + }, + { + "epoch": 0.55, + "learning_rate": 4.447337387891251e-06, + "loss": 0.5015, + "step": 18694 + }, + { + "epoch": 0.55, + "learning_rate": 4.446864537448587e-06, + "loss": 0.7457, + "step": 18695 + }, + { + "epoch": 0.55, + "learning_rate": 4.446391692014131e-06, + "loss": 0.773, + "step": 18696 + }, + { + "epoch": 0.55, + "learning_rate": 4.445918851592163e-06, + "loss": 0.7942, + "step": 18697 + }, + { + "epoch": 0.55, + "learning_rate": 4.4454460161869655e-06, + "loss": 0.6356, + "step": 18698 + }, + { + "epoch": 0.55, + "learning_rate": 4.44497318580282e-06, + "loss": 0.8215, + "step": 18699 + }, + { + "epoch": 0.55, + "learning_rate": 4.444500360444006e-06, + "loss": 0.7409, + "step": 18700 + }, + { + "epoch": 0.55, + "learning_rate": 4.444027540114806e-06, + "loss": 0.7494, + "step": 18701 + }, + { + "epoch": 0.55, + "learning_rate": 4.443554724819501e-06, + "loss": 0.5584, + "step": 18702 + }, + { + "epoch": 0.55, + "learning_rate": 4.443081914562371e-06, + "loss": 0.5335, + "step": 18703 + }, + { + "epoch": 0.55, + "learning_rate": 4.442609109347697e-06, + "loss": 0.772, + "step": 18704 + }, + { + "epoch": 0.55, + "learning_rate": 4.442136309179761e-06, + "loss": 0.5395, + "step": 18705 + }, + { + "epoch": 0.55, + "learning_rate": 4.441663514062843e-06, + "loss": 0.5616, + "step": 18706 + }, + { + "epoch": 0.55, + "learning_rate": 4.441190724001224e-06, + "loss": 0.8185, + "step": 18707 + }, + { + "epoch": 0.55, + "learning_rate": 4.440717938999182e-06, + "loss": 0.8555, + "step": 18708 + }, + { + "epoch": 0.55, + "learning_rate": 4.440245159061003e-06, + "loss": 0.5302, + "step": 18709 + }, + { + "epoch": 0.55, + "learning_rate": 4.439772384190965e-06, + "loss": 0.8246, + "step": 18710 + }, + { + "epoch": 0.55, + "learning_rate": 4.439299614393349e-06, + "loss": 0.7322, + "step": 18711 + }, + { + "epoch": 0.55, + "learning_rate": 4.438826849672435e-06, + "loss": 0.624, + "step": 18712 + }, + { + "epoch": 0.55, + "learning_rate": 4.438354090032503e-06, + "loss": 0.7216, + "step": 18713 + }, + { + "epoch": 0.55, + "learning_rate": 4.437881335477835e-06, + "loss": 0.7892, + "step": 18714 + }, + { + "epoch": 0.55, + "learning_rate": 4.43740858601271e-06, + "loss": 0.6807, + "step": 18715 + }, + { + "epoch": 0.55, + "learning_rate": 4.4369358416414095e-06, + "loss": 0.6874, + "step": 18716 + }, + { + "epoch": 0.55, + "learning_rate": 4.436463102368212e-06, + "loss": 0.6679, + "step": 18717 + }, + { + "epoch": 0.55, + "learning_rate": 4.4359903681974e-06, + "loss": 0.9013, + "step": 18718 + }, + { + "epoch": 0.55, + "learning_rate": 4.435517639133253e-06, + "loss": 1.1978, + "step": 18719 + }, + { + "epoch": 0.55, + "learning_rate": 4.4350449151800515e-06, + "loss": 0.8416, + "step": 18720 + }, + { + "epoch": 0.55, + "learning_rate": 4.4345721963420745e-06, + "loss": 0.8177, + "step": 18721 + }, + { + "epoch": 0.55, + "learning_rate": 4.4340994826236035e-06, + "loss": 0.8443, + "step": 18722 + }, + { + "epoch": 0.55, + "learning_rate": 4.433626774028917e-06, + "loss": 1.0464, + "step": 18723 + }, + { + "epoch": 0.55, + "learning_rate": 4.433154070562296e-06, + "loss": 0.7219, + "step": 18724 + }, + { + "epoch": 0.55, + "learning_rate": 4.43268137222802e-06, + "loss": 0.6836, + "step": 18725 + }, + { + "epoch": 0.55, + "learning_rate": 4.43220867903037e-06, + "loss": 0.5646, + "step": 18726 + }, + { + "epoch": 0.55, + "learning_rate": 4.431735990973623e-06, + "loss": 0.6762, + "step": 18727 + }, + { + "epoch": 0.55, + "learning_rate": 4.431263308062062e-06, + "loss": 0.6757, + "step": 18728 + }, + { + "epoch": 0.55, + "learning_rate": 4.430790630299966e-06, + "loss": 0.5925, + "step": 18729 + }, + { + "epoch": 0.55, + "learning_rate": 4.430317957691615e-06, + "loss": 0.8156, + "step": 18730 + }, + { + "epoch": 0.55, + "learning_rate": 4.429845290241287e-06, + "loss": 0.7984, + "step": 18731 + }, + { + "epoch": 0.55, + "learning_rate": 4.429372627953264e-06, + "loss": 0.8324, + "step": 18732 + }, + { + "epoch": 0.55, + "learning_rate": 4.4288999708318225e-06, + "loss": 0.798, + "step": 18733 + }, + { + "epoch": 0.55, + "learning_rate": 4.428427318881245e-06, + "loss": 0.4853, + "step": 18734 + }, + { + "epoch": 0.55, + "learning_rate": 4.427954672105809e-06, + "loss": 0.6959, + "step": 18735 + }, + { + "epoch": 0.55, + "learning_rate": 4.427482030509796e-06, + "loss": 0.8761, + "step": 18736 + }, + { + "epoch": 0.55, + "learning_rate": 4.427009394097483e-06, + "loss": 0.8125, + "step": 18737 + }, + { + "epoch": 0.55, + "learning_rate": 4.42653676287315e-06, + "loss": 0.4675, + "step": 18738 + }, + { + "epoch": 0.55, + "learning_rate": 4.4260641368410785e-06, + "loss": 0.8104, + "step": 18739 + }, + { + "epoch": 0.55, + "learning_rate": 4.425591516005545e-06, + "loss": 0.6409, + "step": 18740 + }, + { + "epoch": 0.55, + "learning_rate": 4.425118900370831e-06, + "loss": 0.8647, + "step": 18741 + }, + { + "epoch": 0.55, + "learning_rate": 4.424646289941213e-06, + "loss": 0.792, + "step": 18742 + }, + { + "epoch": 0.55, + "learning_rate": 4.424173684720973e-06, + "loss": 0.5841, + "step": 18743 + }, + { + "epoch": 0.55, + "learning_rate": 4.4237010847143865e-06, + "loss": 0.6957, + "step": 18744 + }, + { + "epoch": 0.55, + "learning_rate": 4.4232284899257365e-06, + "loss": 0.6231, + "step": 18745 + }, + { + "epoch": 0.55, + "learning_rate": 4.4227559003592995e-06, + "loss": 1.0199, + "step": 18746 + }, + { + "epoch": 0.55, + "learning_rate": 4.422283316019353e-06, + "loss": 0.7823, + "step": 18747 + }, + { + "epoch": 0.55, + "learning_rate": 4.421810736910181e-06, + "loss": 0.6221, + "step": 18748 + }, + { + "epoch": 0.55, + "learning_rate": 4.421338163036057e-06, + "loss": 0.6738, + "step": 18749 + }, + { + "epoch": 0.55, + "learning_rate": 4.420865594401264e-06, + "loss": 0.8784, + "step": 18750 + }, + { + "epoch": 0.55, + "learning_rate": 4.420393031010078e-06, + "loss": 0.9016, + "step": 18751 + }, + { + "epoch": 0.55, + "learning_rate": 4.4199204728667785e-06, + "loss": 0.4825, + "step": 18752 + }, + { + "epoch": 0.55, + "learning_rate": 4.419447919975645e-06, + "loss": 0.3845, + "step": 18753 + }, + { + "epoch": 0.55, + "learning_rate": 4.418975372340954e-06, + "loss": 0.6933, + "step": 18754 + }, + { + "epoch": 0.55, + "learning_rate": 4.418502829966986e-06, + "loss": 0.7861, + "step": 18755 + }, + { + "epoch": 0.55, + "learning_rate": 4.418030292858018e-06, + "loss": 0.7569, + "step": 18756 + }, + { + "epoch": 0.55, + "learning_rate": 4.417557761018328e-06, + "loss": 0.8148, + "step": 18757 + }, + { + "epoch": 0.55, + "learning_rate": 4.417085234452198e-06, + "loss": 0.737, + "step": 18758 + }, + { + "epoch": 0.55, + "learning_rate": 4.4166127131639035e-06, + "loss": 0.453, + "step": 18759 + }, + { + "epoch": 0.55, + "learning_rate": 4.4161401971577234e-06, + "loss": 0.7602, + "step": 18760 + }, + { + "epoch": 0.55, + "learning_rate": 4.415667686437935e-06, + "loss": 0.5174, + "step": 18761 + }, + { + "epoch": 0.55, + "learning_rate": 4.415195181008818e-06, + "loss": 0.7007, + "step": 18762 + }, + { + "epoch": 0.55, + "learning_rate": 4.41472268087465e-06, + "loss": 0.6964, + "step": 18763 + }, + { + "epoch": 0.55, + "learning_rate": 4.4142501860397095e-06, + "loss": 0.7331, + "step": 18764 + }, + { + "epoch": 0.55, + "learning_rate": 4.413777696508273e-06, + "loss": 0.747, + "step": 18765 + }, + { + "epoch": 0.55, + "learning_rate": 4.4133052122846204e-06, + "loss": 0.6579, + "step": 18766 + }, + { + "epoch": 0.55, + "learning_rate": 4.412832733373026e-06, + "loss": 0.5695, + "step": 18767 + }, + { + "epoch": 0.55, + "learning_rate": 4.412360259777774e-06, + "loss": 0.5871, + "step": 18768 + }, + { + "epoch": 0.55, + "learning_rate": 4.411887791503138e-06, + "loss": 0.7877, + "step": 18769 + }, + { + "epoch": 0.55, + "learning_rate": 4.4114153285533975e-06, + "loss": 0.6659, + "step": 18770 + }, + { + "epoch": 0.55, + "learning_rate": 4.410942870932829e-06, + "loss": 0.8256, + "step": 18771 + }, + { + "epoch": 0.55, + "learning_rate": 4.410470418645711e-06, + "loss": 0.4547, + "step": 18772 + }, + { + "epoch": 0.55, + "learning_rate": 4.40999797169632e-06, + "loss": 0.5065, + "step": 18773 + }, + { + "epoch": 0.55, + "learning_rate": 4.409525530088936e-06, + "loss": 0.774, + "step": 18774 + }, + { + "epoch": 0.55, + "learning_rate": 4.409053093827834e-06, + "loss": 0.8326, + "step": 18775 + }, + { + "epoch": 0.55, + "learning_rate": 4.408580662917293e-06, + "loss": 0.9625, + "step": 18776 + }, + { + "epoch": 0.55, + "learning_rate": 4.40810823736159e-06, + "loss": 0.5369, + "step": 18777 + }, + { + "epoch": 0.55, + "learning_rate": 4.407635817165003e-06, + "loss": 0.6678, + "step": 18778 + }, + { + "epoch": 0.55, + "learning_rate": 4.407163402331809e-06, + "loss": 0.8118, + "step": 18779 + }, + { + "epoch": 0.55, + "learning_rate": 4.406690992866286e-06, + "loss": 1.2055, + "step": 18780 + }, + { + "epoch": 0.55, + "learning_rate": 4.40621858877271e-06, + "loss": 0.751, + "step": 18781 + }, + { + "epoch": 0.55, + "learning_rate": 4.40574619005536e-06, + "loss": 0.756, + "step": 18782 + }, + { + "epoch": 0.55, + "learning_rate": 4.40527379671851e-06, + "loss": 0.7681, + "step": 18783 + }, + { + "epoch": 0.55, + "learning_rate": 4.404801408766442e-06, + "loss": 0.4321, + "step": 18784 + }, + { + "epoch": 0.55, + "learning_rate": 4.404329026203428e-06, + "loss": 0.6226, + "step": 18785 + }, + { + "epoch": 0.55, + "learning_rate": 4.403856649033747e-06, + "loss": 0.6279, + "step": 18786 + }, + { + "epoch": 0.55, + "learning_rate": 4.403384277261678e-06, + "loss": 0.7886, + "step": 18787 + }, + { + "epoch": 0.55, + "learning_rate": 4.4029119108914954e-06, + "loss": 0.7919, + "step": 18788 + }, + { + "epoch": 0.55, + "learning_rate": 4.402439549927479e-06, + "loss": 0.7298, + "step": 18789 + }, + { + "epoch": 0.55, + "learning_rate": 4.401967194373902e-06, + "loss": 0.6068, + "step": 18790 + }, + { + "epoch": 0.55, + "learning_rate": 4.4014948442350445e-06, + "loss": 0.9345, + "step": 18791 + }, + { + "epoch": 0.55, + "learning_rate": 4.401022499515181e-06, + "loss": 0.635, + "step": 18792 + }, + { + "epoch": 0.55, + "learning_rate": 4.400550160218588e-06, + "loss": 0.769, + "step": 18793 + }, + { + "epoch": 0.55, + "learning_rate": 4.4000778263495445e-06, + "loss": 0.7475, + "step": 18794 + }, + { + "epoch": 0.55, + "learning_rate": 4.399605497912326e-06, + "loss": 0.4918, + "step": 18795 + }, + { + "epoch": 0.55, + "learning_rate": 4.399133174911205e-06, + "loss": 0.7486, + "step": 18796 + }, + { + "epoch": 0.55, + "learning_rate": 4.398660857350465e-06, + "loss": 0.8757, + "step": 18797 + }, + { + "epoch": 0.55, + "learning_rate": 4.398188545234379e-06, + "loss": 0.6965, + "step": 18798 + }, + { + "epoch": 0.55, + "learning_rate": 4.397716238567224e-06, + "loss": 0.6077, + "step": 18799 + }, + { + "epoch": 0.55, + "learning_rate": 4.397243937353276e-06, + "loss": 0.7167, + "step": 18800 + }, + { + "epoch": 0.55, + "learning_rate": 4.396771641596812e-06, + "loss": 0.8234, + "step": 18801 + }, + { + "epoch": 0.55, + "learning_rate": 4.396299351302107e-06, + "loss": 0.7248, + "step": 18802 + }, + { + "epoch": 0.55, + "learning_rate": 4.395827066473437e-06, + "loss": 0.7482, + "step": 18803 + }, + { + "epoch": 0.55, + "learning_rate": 4.39535478711508e-06, + "loss": 0.7895, + "step": 18804 + }, + { + "epoch": 0.55, + "learning_rate": 4.394882513231311e-06, + "loss": 0.536, + "step": 18805 + }, + { + "epoch": 0.55, + "learning_rate": 4.3944102448264044e-06, + "loss": 0.7613, + "step": 18806 + }, + { + "epoch": 0.55, + "learning_rate": 4.39393798190464e-06, + "loss": 0.6622, + "step": 18807 + }, + { + "epoch": 0.55, + "learning_rate": 4.3934657244702915e-06, + "loss": 0.7666, + "step": 18808 + }, + { + "epoch": 0.55, + "learning_rate": 4.392993472527635e-06, + "loss": 0.7153, + "step": 18809 + }, + { + "epoch": 0.55, + "learning_rate": 4.392521226080946e-06, + "loss": 0.9415, + "step": 18810 + }, + { + "epoch": 0.55, + "learning_rate": 4.392048985134502e-06, + "loss": 0.7227, + "step": 18811 + }, + { + "epoch": 0.55, + "learning_rate": 4.391576749692576e-06, + "loss": 0.5706, + "step": 18812 + }, + { + "epoch": 0.55, + "learning_rate": 4.391104519759447e-06, + "loss": 0.9407, + "step": 18813 + }, + { + "epoch": 0.55, + "learning_rate": 4.390632295339388e-06, + "loss": 0.5966, + "step": 18814 + }, + { + "epoch": 0.55, + "learning_rate": 4.3901600764366755e-06, + "loss": 0.8685, + "step": 18815 + }, + { + "epoch": 0.55, + "learning_rate": 4.389687863055584e-06, + "loss": 0.8236, + "step": 18816 + }, + { + "epoch": 0.55, + "learning_rate": 4.389215655200392e-06, + "loss": 0.7201, + "step": 18817 + }, + { + "epoch": 0.55, + "learning_rate": 4.388743452875373e-06, + "loss": 0.6693, + "step": 18818 + }, + { + "epoch": 0.55, + "learning_rate": 4.3882712560848014e-06, + "loss": 0.7384, + "step": 18819 + }, + { + "epoch": 0.55, + "learning_rate": 4.387799064832956e-06, + "loss": 0.9595, + "step": 18820 + }, + { + "epoch": 0.55, + "learning_rate": 4.387326879124108e-06, + "loss": 0.4692, + "step": 18821 + }, + { + "epoch": 0.55, + "learning_rate": 4.386854698962535e-06, + "loss": 0.8798, + "step": 18822 + }, + { + "epoch": 0.55, + "learning_rate": 4.386382524352513e-06, + "loss": 0.8973, + "step": 18823 + }, + { + "epoch": 0.55, + "learning_rate": 4.385910355298314e-06, + "loss": 0.6545, + "step": 18824 + }, + { + "epoch": 0.55, + "learning_rate": 4.385438191804217e-06, + "loss": 0.7439, + "step": 18825 + }, + { + "epoch": 0.55, + "learning_rate": 4.384966033874492e-06, + "loss": 0.5862, + "step": 18826 + }, + { + "epoch": 0.55, + "learning_rate": 4.38449388151342e-06, + "loss": 0.7254, + "step": 18827 + }, + { + "epoch": 0.55, + "learning_rate": 4.384021734725272e-06, + "loss": 0.563, + "step": 18828 + }, + { + "epoch": 0.55, + "learning_rate": 4.383549593514325e-06, + "loss": 0.6849, + "step": 18829 + }, + { + "epoch": 0.55, + "learning_rate": 4.383077457884852e-06, + "loss": 0.6995, + "step": 18830 + }, + { + "epoch": 0.55, + "learning_rate": 4.38260532784113e-06, + "loss": 1.1721, + "step": 18831 + }, + { + "epoch": 0.55, + "learning_rate": 4.3821332033874305e-06, + "loss": 0.6533, + "step": 18832 + }, + { + "epoch": 0.55, + "learning_rate": 4.381661084528032e-06, + "loss": 0.773, + "step": 18833 + }, + { + "epoch": 0.55, + "learning_rate": 4.381188971267207e-06, + "loss": 0.9758, + "step": 18834 + }, + { + "epoch": 0.55, + "learning_rate": 4.380716863609229e-06, + "loss": 0.9715, + "step": 18835 + }, + { + "epoch": 0.55, + "learning_rate": 4.3802447615583735e-06, + "loss": 0.9573, + "step": 18836 + }, + { + "epoch": 0.55, + "learning_rate": 4.379772665118918e-06, + "loss": 0.7907, + "step": 18837 + }, + { + "epoch": 0.55, + "learning_rate": 4.379300574295134e-06, + "loss": 0.6962, + "step": 18838 + }, + { + "epoch": 0.55, + "learning_rate": 4.3788284890912956e-06, + "loss": 0.8881, + "step": 18839 + }, + { + "epoch": 0.55, + "learning_rate": 4.378356409511679e-06, + "loss": 0.6571, + "step": 18840 + }, + { + "epoch": 0.55, + "learning_rate": 4.377884335560557e-06, + "loss": 0.7987, + "step": 18841 + }, + { + "epoch": 0.55, + "learning_rate": 4.377412267242205e-06, + "loss": 0.9365, + "step": 18842 + }, + { + "epoch": 0.55, + "learning_rate": 4.376940204560895e-06, + "loss": 0.7261, + "step": 18843 + }, + { + "epoch": 0.55, + "learning_rate": 4.376468147520905e-06, + "loss": 0.7635, + "step": 18844 + }, + { + "epoch": 0.55, + "learning_rate": 4.375996096126504e-06, + "loss": 1.0274, + "step": 18845 + }, + { + "epoch": 0.55, + "learning_rate": 4.375524050381971e-06, + "loss": 0.6968, + "step": 18846 + }, + { + "epoch": 0.55, + "learning_rate": 4.3750520102915776e-06, + "loss": 0.7589, + "step": 18847 + }, + { + "epoch": 0.55, + "learning_rate": 4.374579975859598e-06, + "loss": 0.7203, + "step": 18848 + }, + { + "epoch": 0.55, + "learning_rate": 4.374107947090306e-06, + "loss": 0.529, + "step": 18849 + }, + { + "epoch": 0.55, + "learning_rate": 4.373635923987976e-06, + "loss": 0.7565, + "step": 18850 + }, + { + "epoch": 0.55, + "learning_rate": 4.373163906556881e-06, + "loss": 0.8091, + "step": 18851 + }, + { + "epoch": 0.55, + "learning_rate": 4.372691894801295e-06, + "loss": 0.8998, + "step": 18852 + }, + { + "epoch": 0.55, + "learning_rate": 4.372219888725493e-06, + "loss": 0.6785, + "step": 18853 + }, + { + "epoch": 0.55, + "learning_rate": 4.371747888333746e-06, + "loss": 0.6329, + "step": 18854 + }, + { + "epoch": 0.55, + "learning_rate": 4.371275893630328e-06, + "loss": 0.5316, + "step": 18855 + }, + { + "epoch": 0.55, + "learning_rate": 4.370803904619515e-06, + "loss": 0.4947, + "step": 18856 + }, + { + "epoch": 0.55, + "learning_rate": 4.370331921305579e-06, + "loss": 0.7098, + "step": 18857 + }, + { + "epoch": 0.55, + "learning_rate": 4.3698599436927945e-06, + "loss": 0.7177, + "step": 18858 + }, + { + "epoch": 0.55, + "learning_rate": 4.369387971785434e-06, + "loss": 0.7319, + "step": 18859 + }, + { + "epoch": 0.55, + "learning_rate": 4.36891600558777e-06, + "loss": 0.685, + "step": 18860 + }, + { + "epoch": 0.55, + "learning_rate": 4.3684440451040774e-06, + "loss": 1.096, + "step": 18861 + }, + { + "epoch": 0.55, + "learning_rate": 4.367972090338628e-06, + "loss": 0.7426, + "step": 18862 + }, + { + "epoch": 0.55, + "learning_rate": 4.3675001412956955e-06, + "loss": 0.8469, + "step": 18863 + }, + { + "epoch": 0.55, + "learning_rate": 4.367028197979553e-06, + "loss": 0.74, + "step": 18864 + }, + { + "epoch": 0.55, + "learning_rate": 4.366556260394473e-06, + "loss": 0.77, + "step": 18865 + }, + { + "epoch": 0.55, + "learning_rate": 4.366084328544731e-06, + "loss": 0.8765, + "step": 18866 + }, + { + "epoch": 0.55, + "learning_rate": 4.3656124024345966e-06, + "loss": 0.6153, + "step": 18867 + }, + { + "epoch": 0.55, + "learning_rate": 4.3651404820683454e-06, + "loss": 0.8008, + "step": 18868 + }, + { + "epoch": 0.55, + "learning_rate": 4.364668567450249e-06, + "loss": 0.7725, + "step": 18869 + }, + { + "epoch": 0.55, + "learning_rate": 4.36419665858458e-06, + "loss": 0.8385, + "step": 18870 + }, + { + "epoch": 0.55, + "learning_rate": 4.363724755475612e-06, + "loss": 0.8995, + "step": 18871 + }, + { + "epoch": 0.55, + "learning_rate": 4.363252858127617e-06, + "loss": 0.7323, + "step": 18872 + }, + { + "epoch": 0.55, + "learning_rate": 4.362780966544868e-06, + "loss": 0.809, + "step": 18873 + }, + { + "epoch": 0.55, + "learning_rate": 4.362309080731637e-06, + "loss": 0.7311, + "step": 18874 + }, + { + "epoch": 0.55, + "learning_rate": 4.361837200692196e-06, + "loss": 0.9069, + "step": 18875 + }, + { + "epoch": 0.55, + "learning_rate": 4.36136532643082e-06, + "loss": 0.8777, + "step": 18876 + }, + { + "epoch": 0.55, + "learning_rate": 4.36089345795178e-06, + "loss": 0.5413, + "step": 18877 + }, + { + "epoch": 0.55, + "learning_rate": 4.360421595259349e-06, + "loss": 0.7392, + "step": 18878 + }, + { + "epoch": 0.55, + "learning_rate": 4.359949738357798e-06, + "loss": 0.5743, + "step": 18879 + }, + { + "epoch": 0.55, + "learning_rate": 4.359477887251401e-06, + "loss": 0.5198, + "step": 18880 + }, + { + "epoch": 0.55, + "learning_rate": 4.3590060419444285e-06, + "loss": 0.7328, + "step": 18881 + }, + { + "epoch": 0.55, + "learning_rate": 4.358534202441154e-06, + "loss": 0.8859, + "step": 18882 + }, + { + "epoch": 0.55, + "learning_rate": 4.358062368745849e-06, + "loss": 0.8814, + "step": 18883 + }, + { + "epoch": 0.55, + "learning_rate": 4.3575905408627865e-06, + "loss": 0.6127, + "step": 18884 + }, + { + "epoch": 0.55, + "learning_rate": 4.357118718796235e-06, + "loss": 0.5839, + "step": 18885 + }, + { + "epoch": 0.55, + "learning_rate": 4.3566469025504715e-06, + "loss": 0.7656, + "step": 18886 + }, + { + "epoch": 0.55, + "learning_rate": 4.356175092129766e-06, + "loss": 0.6506, + "step": 18887 + }, + { + "epoch": 0.55, + "learning_rate": 4.35570328753839e-06, + "loss": 0.8891, + "step": 18888 + }, + { + "epoch": 0.55, + "learning_rate": 4.355231488780614e-06, + "loss": 0.7192, + "step": 18889 + }, + { + "epoch": 0.55, + "learning_rate": 4.354759695860712e-06, + "loss": 0.845, + "step": 18890 + }, + { + "epoch": 0.55, + "learning_rate": 4.354287908782955e-06, + "loss": 0.5614, + "step": 18891 + }, + { + "epoch": 0.56, + "learning_rate": 4.353816127551614e-06, + "loss": 1.0595, + "step": 18892 + }, + { + "epoch": 0.56, + "learning_rate": 4.353344352170962e-06, + "loss": 0.7234, + "step": 18893 + }, + { + "epoch": 0.56, + "learning_rate": 4.352872582645269e-06, + "loss": 0.6572, + "step": 18894 + }, + { + "epoch": 0.56, + "learning_rate": 4.352400818978805e-06, + "loss": 0.7423, + "step": 18895 + }, + { + "epoch": 0.56, + "learning_rate": 4.351929061175847e-06, + "loss": 0.6938, + "step": 18896 + }, + { + "epoch": 0.56, + "learning_rate": 4.3514573092406605e-06, + "loss": 0.7754, + "step": 18897 + }, + { + "epoch": 0.56, + "learning_rate": 4.350985563177522e-06, + "loss": 0.6963, + "step": 18898 + }, + { + "epoch": 0.56, + "learning_rate": 4.350513822990699e-06, + "loss": 0.8367, + "step": 18899 + }, + { + "epoch": 0.56, + "learning_rate": 4.350042088684464e-06, + "loss": 0.8105, + "step": 18900 + }, + { + "epoch": 0.56, + "learning_rate": 4.3495703602630875e-06, + "loss": 0.7482, + "step": 18901 + }, + { + "epoch": 0.56, + "learning_rate": 4.349098637730842e-06, + "loss": 0.7714, + "step": 18902 + }, + { + "epoch": 0.56, + "learning_rate": 4.348626921091997e-06, + "loss": 0.8636, + "step": 18903 + }, + { + "epoch": 0.56, + "learning_rate": 4.348155210350825e-06, + "loss": 0.8577, + "step": 18904 + }, + { + "epoch": 0.56, + "learning_rate": 4.347683505511595e-06, + "loss": 0.5305, + "step": 18905 + }, + { + "epoch": 0.56, + "learning_rate": 4.347211806578581e-06, + "loss": 0.5733, + "step": 18906 + }, + { + "epoch": 0.56, + "learning_rate": 4.34674011355605e-06, + "loss": 0.827, + "step": 18907 + }, + { + "epoch": 0.56, + "learning_rate": 4.346268426448277e-06, + "loss": 0.5119, + "step": 18908 + }, + { + "epoch": 0.56, + "learning_rate": 4.34579674525953e-06, + "loss": 0.7414, + "step": 18909 + }, + { + "epoch": 0.56, + "learning_rate": 4.34532506999408e-06, + "loss": 0.924, + "step": 18910 + }, + { + "epoch": 0.56, + "learning_rate": 4.344853400656198e-06, + "loss": 0.6214, + "step": 18911 + }, + { + "epoch": 0.56, + "learning_rate": 4.3443817372501555e-06, + "loss": 0.7081, + "step": 18912 + }, + { + "epoch": 0.56, + "learning_rate": 4.343910079780221e-06, + "loss": 0.7416, + "step": 18913 + }, + { + "epoch": 0.56, + "learning_rate": 4.343438428250665e-06, + "loss": 1.0251, + "step": 18914 + }, + { + "epoch": 0.56, + "learning_rate": 4.34296678266576e-06, + "loss": 0.7004, + "step": 18915 + }, + { + "epoch": 0.56, + "learning_rate": 4.342495143029776e-06, + "loss": 0.7904, + "step": 18916 + }, + { + "epoch": 0.56, + "learning_rate": 4.342023509346983e-06, + "loss": 0.8321, + "step": 18917 + }, + { + "epoch": 0.56, + "learning_rate": 4.3415518816216505e-06, + "loss": 0.7462, + "step": 18918 + }, + { + "epoch": 0.56, + "learning_rate": 4.34108025985805e-06, + "loss": 0.7314, + "step": 18919 + }, + { + "epoch": 0.56, + "learning_rate": 4.34060864406045e-06, + "loss": 0.6572, + "step": 18920 + }, + { + "epoch": 0.56, + "learning_rate": 4.340137034233122e-06, + "loss": 0.712, + "step": 18921 + }, + { + "epoch": 0.56, + "learning_rate": 4.339665430380335e-06, + "loss": 1.0123, + "step": 18922 + }, + { + "epoch": 0.56, + "learning_rate": 4.339193832506361e-06, + "loss": 0.9003, + "step": 18923 + }, + { + "epoch": 0.56, + "learning_rate": 4.338722240615466e-06, + "loss": 0.6706, + "step": 18924 + }, + { + "epoch": 0.56, + "learning_rate": 4.338250654711924e-06, + "loss": 0.7204, + "step": 18925 + }, + { + "epoch": 0.56, + "learning_rate": 4.3377790748000035e-06, + "loss": 0.5373, + "step": 18926 + }, + { + "epoch": 0.56, + "learning_rate": 4.337307500883974e-06, + "loss": 0.6981, + "step": 18927 + }, + { + "epoch": 0.56, + "learning_rate": 4.336835932968105e-06, + "loss": 0.5732, + "step": 18928 + }, + { + "epoch": 0.56, + "learning_rate": 4.3363643710566675e-06, + "loss": 0.753, + "step": 18929 + }, + { + "epoch": 0.56, + "learning_rate": 4.335892815153929e-06, + "loss": 0.7147, + "step": 18930 + }, + { + "epoch": 0.56, + "learning_rate": 4.33542126526416e-06, + "loss": 0.9447, + "step": 18931 + }, + { + "epoch": 0.56, + "learning_rate": 4.334949721391631e-06, + "loss": 0.8004, + "step": 18932 + }, + { + "epoch": 0.56, + "learning_rate": 4.33447818354061e-06, + "loss": 0.5144, + "step": 18933 + }, + { + "epoch": 0.56, + "learning_rate": 4.334006651715365e-06, + "loss": 0.6804, + "step": 18934 + }, + { + "epoch": 0.56, + "learning_rate": 4.3335351259201695e-06, + "loss": 0.641, + "step": 18935 + }, + { + "epoch": 0.56, + "learning_rate": 4.333063606159291e-06, + "loss": 0.5595, + "step": 18936 + }, + { + "epoch": 0.56, + "learning_rate": 4.332592092436998e-06, + "loss": 0.9192, + "step": 18937 + }, + { + "epoch": 0.56, + "learning_rate": 4.3321205847575606e-06, + "loss": 0.7978, + "step": 18938 + }, + { + "epoch": 0.56, + "learning_rate": 4.331649083125247e-06, + "loss": 0.8951, + "step": 18939 + }, + { + "epoch": 0.56, + "learning_rate": 4.3311775875443265e-06, + "loss": 0.6565, + "step": 18940 + }, + { + "epoch": 0.56, + "learning_rate": 4.330706098019069e-06, + "loss": 0.8875, + "step": 18941 + }, + { + "epoch": 0.56, + "learning_rate": 4.330234614553743e-06, + "loss": 0.671, + "step": 18942 + }, + { + "epoch": 0.56, + "learning_rate": 4.329763137152617e-06, + "loss": 0.5224, + "step": 18943 + }, + { + "epoch": 0.56, + "learning_rate": 4.329291665819958e-06, + "loss": 0.7433, + "step": 18944 + }, + { + "epoch": 0.56, + "learning_rate": 4.328820200560039e-06, + "loss": 0.3846, + "step": 18945 + }, + { + "epoch": 0.56, + "learning_rate": 4.328348741377126e-06, + "loss": 0.8452, + "step": 18946 + }, + { + "epoch": 0.56, + "learning_rate": 4.327877288275489e-06, + "loss": 0.8358, + "step": 18947 + }, + { + "epoch": 0.56, + "learning_rate": 4.327405841259396e-06, + "loss": 0.5525, + "step": 18948 + }, + { + "epoch": 0.56, + "learning_rate": 4.326934400333115e-06, + "loss": 0.9637, + "step": 18949 + }, + { + "epoch": 0.56, + "learning_rate": 4.326462965500915e-06, + "loss": 0.8194, + "step": 18950 + }, + { + "epoch": 0.56, + "learning_rate": 4.325991536767065e-06, + "loss": 0.8627, + "step": 18951 + }, + { + "epoch": 0.56, + "learning_rate": 4.325520114135833e-06, + "loss": 0.5152, + "step": 18952 + }, + { + "epoch": 0.56, + "learning_rate": 4.325048697611487e-06, + "loss": 0.8407, + "step": 18953 + }, + { + "epoch": 0.56, + "learning_rate": 4.324577287198293e-06, + "loss": 0.6409, + "step": 18954 + }, + { + "epoch": 0.56, + "learning_rate": 4.324105882900525e-06, + "loss": 0.6015, + "step": 18955 + }, + { + "epoch": 0.56, + "learning_rate": 4.323634484722448e-06, + "loss": 0.6622, + "step": 18956 + }, + { + "epoch": 0.56, + "learning_rate": 4.32316309266833e-06, + "loss": 0.7384, + "step": 18957 + }, + { + "epoch": 0.56, + "learning_rate": 4.322691706742439e-06, + "loss": 0.6554, + "step": 18958 + }, + { + "epoch": 0.56, + "learning_rate": 4.322220326949044e-06, + "loss": 0.963, + "step": 18959 + }, + { + "epoch": 0.56, + "learning_rate": 4.3217489532924115e-06, + "loss": 0.8374, + "step": 18960 + }, + { + "epoch": 0.56, + "learning_rate": 4.3212775857768105e-06, + "loss": 0.761, + "step": 18961 + }, + { + "epoch": 0.56, + "learning_rate": 4.320806224406509e-06, + "loss": 0.6353, + "step": 18962 + }, + { + "epoch": 0.56, + "learning_rate": 4.320334869185774e-06, + "loss": 0.66, + "step": 18963 + }, + { + "epoch": 0.56, + "learning_rate": 4.319863520118872e-06, + "loss": 0.9855, + "step": 18964 + }, + { + "epoch": 0.56, + "learning_rate": 4.319392177210075e-06, + "loss": 1.1736, + "step": 18965 + }, + { + "epoch": 0.56, + "learning_rate": 4.318920840463647e-06, + "loss": 1.1383, + "step": 18966 + }, + { + "epoch": 0.56, + "learning_rate": 4.318449509883856e-06, + "loss": 0.6969, + "step": 18967 + }, + { + "epoch": 0.56, + "learning_rate": 4.317978185474971e-06, + "loss": 0.7279, + "step": 18968 + }, + { + "epoch": 0.56, + "learning_rate": 4.317506867241258e-06, + "loss": 0.7673, + "step": 18969 + }, + { + "epoch": 0.56, + "learning_rate": 4.317035555186986e-06, + "loss": 0.702, + "step": 18970 + }, + { + "epoch": 0.56, + "learning_rate": 4.316564249316421e-06, + "loss": 0.8131, + "step": 18971 + }, + { + "epoch": 0.56, + "learning_rate": 4.31609294963383e-06, + "loss": 0.7915, + "step": 18972 + }, + { + "epoch": 0.56, + "learning_rate": 4.315621656143479e-06, + "loss": 0.7782, + "step": 18973 + }, + { + "epoch": 0.56, + "learning_rate": 4.3151503688496394e-06, + "loss": 0.6941, + "step": 18974 + }, + { + "epoch": 0.56, + "learning_rate": 4.314679087756576e-06, + "loss": 0.623, + "step": 18975 + }, + { + "epoch": 0.56, + "learning_rate": 4.314207812868556e-06, + "loss": 0.6107, + "step": 18976 + }, + { + "epoch": 0.56, + "learning_rate": 4.313736544189846e-06, + "loss": 0.8412, + "step": 18977 + }, + { + "epoch": 0.56, + "learning_rate": 4.313265281724714e-06, + "loss": 0.6396, + "step": 18978 + }, + { + "epoch": 0.56, + "learning_rate": 4.312794025477426e-06, + "loss": 0.6963, + "step": 18979 + }, + { + "epoch": 0.56, + "learning_rate": 4.312322775452248e-06, + "loss": 0.7481, + "step": 18980 + }, + { + "epoch": 0.56, + "learning_rate": 4.311851531653449e-06, + "loss": 0.8953, + "step": 18981 + }, + { + "epoch": 0.56, + "learning_rate": 4.311380294085294e-06, + "loss": 0.7939, + "step": 18982 + }, + { + "epoch": 0.56, + "learning_rate": 4.31090906275205e-06, + "loss": 0.4774, + "step": 18983 + }, + { + "epoch": 0.56, + "learning_rate": 4.310437837657985e-06, + "loss": 0.6749, + "step": 18984 + }, + { + "epoch": 0.56, + "learning_rate": 4.309966618807364e-06, + "loss": 0.6666, + "step": 18985 + }, + { + "epoch": 0.56, + "learning_rate": 4.309495406204454e-06, + "loss": 0.9148, + "step": 18986 + }, + { + "epoch": 0.56, + "learning_rate": 4.309024199853522e-06, + "loss": 0.5583, + "step": 18987 + }, + { + "epoch": 0.56, + "learning_rate": 4.308552999758833e-06, + "loss": 0.477, + "step": 18988 + }, + { + "epoch": 0.56, + "learning_rate": 4.3080818059246545e-06, + "loss": 0.6161, + "step": 18989 + }, + { + "epoch": 0.56, + "learning_rate": 4.3076106183552535e-06, + "loss": 0.7107, + "step": 18990 + }, + { + "epoch": 0.56, + "learning_rate": 4.307139437054895e-06, + "loss": 0.7555, + "step": 18991 + }, + { + "epoch": 0.56, + "learning_rate": 4.3066682620278446e-06, + "loss": 0.7072, + "step": 18992 + }, + { + "epoch": 0.56, + "learning_rate": 4.306197093278367e-06, + "loss": 0.5943, + "step": 18993 + }, + { + "epoch": 0.56, + "learning_rate": 4.305725930810733e-06, + "loss": 0.5343, + "step": 18994 + }, + { + "epoch": 0.56, + "learning_rate": 4.305254774629206e-06, + "loss": 0.8353, + "step": 18995 + }, + { + "epoch": 0.56, + "learning_rate": 4.3047836247380534e-06, + "loss": 0.7061, + "step": 18996 + }, + { + "epoch": 0.56, + "learning_rate": 4.304312481141538e-06, + "loss": 0.6765, + "step": 18997 + }, + { + "epoch": 0.56, + "learning_rate": 4.3038413438439285e-06, + "loss": 0.8346, + "step": 18998 + }, + { + "epoch": 0.56, + "learning_rate": 4.3033702128494895e-06, + "loss": 0.7487, + "step": 18999 + }, + { + "epoch": 0.56, + "learning_rate": 4.302899088162486e-06, + "loss": 0.6183, + "step": 19000 + }, + { + "epoch": 0.56, + "learning_rate": 4.302427969787186e-06, + "loss": 0.776, + "step": 19001 + }, + { + "epoch": 0.56, + "learning_rate": 4.301956857727852e-06, + "loss": 0.4712, + "step": 19002 + }, + { + "epoch": 0.56, + "learning_rate": 4.301485751988751e-06, + "loss": 0.6532, + "step": 19003 + }, + { + "epoch": 0.56, + "learning_rate": 4.301014652574149e-06, + "loss": 0.7431, + "step": 19004 + }, + { + "epoch": 0.56, + "learning_rate": 4.300543559488312e-06, + "loss": 0.7603, + "step": 19005 + }, + { + "epoch": 0.56, + "learning_rate": 4.300072472735504e-06, + "loss": 0.7277, + "step": 19006 + }, + { + "epoch": 0.56, + "learning_rate": 4.299601392319991e-06, + "loss": 0.6455, + "step": 19007 + }, + { + "epoch": 0.56, + "learning_rate": 4.299130318246037e-06, + "loss": 0.5332, + "step": 19008 + }, + { + "epoch": 0.56, + "learning_rate": 4.298659250517908e-06, + "loss": 0.7933, + "step": 19009 + }, + { + "epoch": 0.56, + "learning_rate": 4.2981881891398706e-06, + "loss": 0.8389, + "step": 19010 + }, + { + "epoch": 0.56, + "learning_rate": 4.297717134116189e-06, + "loss": 0.729, + "step": 19011 + }, + { + "epoch": 0.56, + "learning_rate": 4.297246085451127e-06, + "loss": 0.7033, + "step": 19012 + }, + { + "epoch": 0.56, + "learning_rate": 4.2967750431489485e-06, + "loss": 0.742, + "step": 19013 + }, + { + "epoch": 0.56, + "learning_rate": 4.296304007213923e-06, + "loss": 0.8243, + "step": 19014 + }, + { + "epoch": 0.56, + "learning_rate": 4.295832977650312e-06, + "loss": 0.9833, + "step": 19015 + }, + { + "epoch": 0.56, + "learning_rate": 4.295361954462381e-06, + "loss": 0.8347, + "step": 19016 + }, + { + "epoch": 0.56, + "learning_rate": 4.2948909376543954e-06, + "loss": 0.8749, + "step": 19017 + }, + { + "epoch": 0.56, + "learning_rate": 4.294419927230619e-06, + "loss": 0.9505, + "step": 19018 + }, + { + "epoch": 0.56, + "learning_rate": 4.2939489231953175e-06, + "loss": 0.901, + "step": 19019 + }, + { + "epoch": 0.56, + "learning_rate": 4.293477925552753e-06, + "loss": 0.9505, + "step": 19020 + }, + { + "epoch": 0.56, + "learning_rate": 4.293006934307194e-06, + "loss": 0.733, + "step": 19021 + }, + { + "epoch": 0.56, + "learning_rate": 4.292535949462901e-06, + "loss": 0.5928, + "step": 19022 + }, + { + "epoch": 0.56, + "learning_rate": 4.292064971024139e-06, + "loss": 0.6943, + "step": 19023 + }, + { + "epoch": 0.56, + "learning_rate": 4.291593998995176e-06, + "loss": 0.5531, + "step": 19024 + }, + { + "epoch": 0.56, + "learning_rate": 4.291123033380272e-06, + "loss": 0.6689, + "step": 19025 + }, + { + "epoch": 0.56, + "learning_rate": 4.290652074183693e-06, + "loss": 0.5539, + "step": 19026 + }, + { + "epoch": 0.56, + "learning_rate": 4.2901811214097035e-06, + "loss": 0.8038, + "step": 19027 + }, + { + "epoch": 0.56, + "learning_rate": 4.289710175062568e-06, + "loss": 0.881, + "step": 19028 + }, + { + "epoch": 0.56, + "learning_rate": 4.289239235146549e-06, + "loss": 0.735, + "step": 19029 + }, + { + "epoch": 0.56, + "learning_rate": 4.288768301665911e-06, + "loss": 0.5579, + "step": 19030 + }, + { + "epoch": 0.56, + "learning_rate": 4.288297374624918e-06, + "loss": 0.6857, + "step": 19031 + }, + { + "epoch": 0.56, + "learning_rate": 4.287826454027835e-06, + "loss": 0.6772, + "step": 19032 + }, + { + "epoch": 0.56, + "learning_rate": 4.2873555398789225e-06, + "loss": 0.8946, + "step": 19033 + }, + { + "epoch": 0.56, + "learning_rate": 4.286884632182448e-06, + "loss": 0.6265, + "step": 19034 + }, + { + "epoch": 0.56, + "learning_rate": 4.286413730942674e-06, + "loss": 0.6036, + "step": 19035 + }, + { + "epoch": 0.56, + "learning_rate": 4.285942836163864e-06, + "loss": 0.625, + "step": 19036 + }, + { + "epoch": 0.56, + "learning_rate": 4.285471947850282e-06, + "loss": 0.5485, + "step": 19037 + }, + { + "epoch": 0.56, + "learning_rate": 4.285001066006191e-06, + "loss": 0.8175, + "step": 19038 + }, + { + "epoch": 0.56, + "learning_rate": 4.284530190635854e-06, + "loss": 0.7596, + "step": 19039 + }, + { + "epoch": 0.56, + "learning_rate": 4.284059321743535e-06, + "loss": 0.551, + "step": 19040 + }, + { + "epoch": 0.56, + "learning_rate": 4.283588459333498e-06, + "loss": 0.672, + "step": 19041 + }, + { + "epoch": 0.56, + "learning_rate": 4.283117603410004e-06, + "loss": 0.5756, + "step": 19042 + }, + { + "epoch": 0.56, + "learning_rate": 4.2826467539773184e-06, + "loss": 0.7327, + "step": 19043 + }, + { + "epoch": 0.56, + "learning_rate": 4.2821759110397045e-06, + "loss": 0.8886, + "step": 19044 + }, + { + "epoch": 0.56, + "learning_rate": 4.281705074601424e-06, + "loss": 0.891, + "step": 19045 + }, + { + "epoch": 0.56, + "learning_rate": 4.281234244666742e-06, + "loss": 0.5645, + "step": 19046 + }, + { + "epoch": 0.56, + "learning_rate": 4.280763421239919e-06, + "loss": 0.6103, + "step": 19047 + }, + { + "epoch": 0.56, + "learning_rate": 4.280292604325219e-06, + "loss": 0.7613, + "step": 19048 + }, + { + "epoch": 0.56, + "learning_rate": 4.2798217939269055e-06, + "loss": 0.7893, + "step": 19049 + }, + { + "epoch": 0.56, + "learning_rate": 4.27935099004924e-06, + "loss": 0.7591, + "step": 19050 + }, + { + "epoch": 0.56, + "learning_rate": 4.278880192696487e-06, + "loss": 0.8533, + "step": 19051 + }, + { + "epoch": 0.56, + "learning_rate": 4.278409401872906e-06, + "loss": 0.8302, + "step": 19052 + }, + { + "epoch": 0.56, + "learning_rate": 4.277938617582763e-06, + "loss": 0.6555, + "step": 19053 + }, + { + "epoch": 0.56, + "learning_rate": 4.27746783983032e-06, + "loss": 0.7473, + "step": 19054 + }, + { + "epoch": 0.56, + "learning_rate": 4.276997068619839e-06, + "loss": 0.6882, + "step": 19055 + }, + { + "epoch": 0.56, + "learning_rate": 4.276526303955583e-06, + "loss": 0.6856, + "step": 19056 + }, + { + "epoch": 0.56, + "learning_rate": 4.276055545841813e-06, + "loss": 0.9637, + "step": 19057 + }, + { + "epoch": 0.56, + "learning_rate": 4.275584794282793e-06, + "loss": 0.7609, + "step": 19058 + }, + { + "epoch": 0.56, + "learning_rate": 4.275114049282784e-06, + "loss": 0.5834, + "step": 19059 + }, + { + "epoch": 0.56, + "learning_rate": 4.274643310846049e-06, + "loss": 0.7879, + "step": 19060 + }, + { + "epoch": 0.56, + "learning_rate": 4.274172578976849e-06, + "loss": 1.1458, + "step": 19061 + }, + { + "epoch": 0.56, + "learning_rate": 4.273701853679448e-06, + "loss": 0.6183, + "step": 19062 + }, + { + "epoch": 0.56, + "learning_rate": 4.273231134958106e-06, + "loss": 0.8831, + "step": 19063 + }, + { + "epoch": 0.56, + "learning_rate": 4.272760422817086e-06, + "loss": 0.9347, + "step": 19064 + }, + { + "epoch": 0.56, + "learning_rate": 4.272289717260651e-06, + "loss": 0.7825, + "step": 19065 + }, + { + "epoch": 0.56, + "learning_rate": 4.271819018293061e-06, + "loss": 0.9837, + "step": 19066 + }, + { + "epoch": 0.56, + "learning_rate": 4.271348325918579e-06, + "loss": 0.6429, + "step": 19067 + }, + { + "epoch": 0.56, + "learning_rate": 4.270877640141467e-06, + "loss": 0.7358, + "step": 19068 + }, + { + "epoch": 0.56, + "learning_rate": 4.270406960965986e-06, + "loss": 0.6646, + "step": 19069 + }, + { + "epoch": 0.56, + "learning_rate": 4.269936288396397e-06, + "loss": 0.9284, + "step": 19070 + }, + { + "epoch": 0.56, + "learning_rate": 4.269465622436963e-06, + "loss": 0.9588, + "step": 19071 + }, + { + "epoch": 0.56, + "learning_rate": 4.268994963091942e-06, + "loss": 0.6022, + "step": 19072 + }, + { + "epoch": 0.56, + "learning_rate": 4.268524310365599e-06, + "loss": 0.6961, + "step": 19073 + }, + { + "epoch": 0.56, + "learning_rate": 4.268053664262197e-06, + "loss": 0.647, + "step": 19074 + }, + { + "epoch": 0.56, + "learning_rate": 4.267583024785994e-06, + "loss": 0.8627, + "step": 19075 + }, + { + "epoch": 0.56, + "learning_rate": 4.267112391941252e-06, + "loss": 0.59, + "step": 19076 + }, + { + "epoch": 0.56, + "learning_rate": 4.266641765732233e-06, + "loss": 0.7976, + "step": 19077 + }, + { + "epoch": 0.56, + "learning_rate": 4.266171146163197e-06, + "loss": 0.9266, + "step": 19078 + }, + { + "epoch": 0.56, + "learning_rate": 4.265700533238406e-06, + "loss": 0.9435, + "step": 19079 + }, + { + "epoch": 0.56, + "learning_rate": 4.265229926962121e-06, + "loss": 0.9282, + "step": 19080 + }, + { + "epoch": 0.56, + "learning_rate": 4.264759327338602e-06, + "loss": 0.8053, + "step": 19081 + }, + { + "epoch": 0.56, + "learning_rate": 4.26428873437211e-06, + "loss": 0.8892, + "step": 19082 + }, + { + "epoch": 0.56, + "learning_rate": 4.263818148066908e-06, + "loss": 0.7103, + "step": 19083 + }, + { + "epoch": 0.56, + "learning_rate": 4.2633475684272545e-06, + "loss": 0.7718, + "step": 19084 + }, + { + "epoch": 0.56, + "learning_rate": 4.262876995457411e-06, + "loss": 0.776, + "step": 19085 + }, + { + "epoch": 0.56, + "learning_rate": 4.262406429161639e-06, + "loss": 0.8375, + "step": 19086 + }, + { + "epoch": 0.56, + "learning_rate": 4.261935869544197e-06, + "loss": 0.5923, + "step": 19087 + }, + { + "epoch": 0.56, + "learning_rate": 4.261465316609348e-06, + "loss": 0.7147, + "step": 19088 + }, + { + "epoch": 0.56, + "learning_rate": 4.26099477036135e-06, + "loss": 0.5659, + "step": 19089 + }, + { + "epoch": 0.56, + "learning_rate": 4.260524230804465e-06, + "loss": 0.6058, + "step": 19090 + }, + { + "epoch": 0.56, + "learning_rate": 4.260053697942953e-06, + "loss": 0.604, + "step": 19091 + }, + { + "epoch": 0.56, + "learning_rate": 4.2595831717810735e-06, + "loss": 0.6697, + "step": 19092 + }, + { + "epoch": 0.56, + "learning_rate": 4.259112652323088e-06, + "loss": 0.7647, + "step": 19093 + }, + { + "epoch": 0.56, + "learning_rate": 4.258642139573257e-06, + "loss": 0.8114, + "step": 19094 + }, + { + "epoch": 0.56, + "learning_rate": 4.25817163353584e-06, + "loss": 0.6947, + "step": 19095 + }, + { + "epoch": 0.56, + "learning_rate": 4.257701134215097e-06, + "loss": 0.7963, + "step": 19096 + }, + { + "epoch": 0.56, + "learning_rate": 4.257230641615288e-06, + "loss": 0.8225, + "step": 19097 + }, + { + "epoch": 0.56, + "learning_rate": 4.256760155740674e-06, + "loss": 0.5908, + "step": 19098 + }, + { + "epoch": 0.56, + "learning_rate": 4.256289676595513e-06, + "loss": 0.7485, + "step": 19099 + }, + { + "epoch": 0.56, + "learning_rate": 4.255819204184065e-06, + "loss": 0.6937, + "step": 19100 + }, + { + "epoch": 0.56, + "learning_rate": 4.255348738510591e-06, + "loss": 1.0544, + "step": 19101 + }, + { + "epoch": 0.56, + "learning_rate": 4.254878279579348e-06, + "loss": 0.4813, + "step": 19102 + }, + { + "epoch": 0.56, + "learning_rate": 4.2544078273946e-06, + "loss": 0.6234, + "step": 19103 + }, + { + "epoch": 0.56, + "learning_rate": 4.253937381960605e-06, + "loss": 0.5683, + "step": 19104 + }, + { + "epoch": 0.56, + "learning_rate": 4.25346694328162e-06, + "loss": 0.8182, + "step": 19105 + }, + { + "epoch": 0.56, + "learning_rate": 4.252996511361907e-06, + "loss": 0.8194, + "step": 19106 + }, + { + "epoch": 0.56, + "learning_rate": 4.252526086205725e-06, + "loss": 0.9966, + "step": 19107 + }, + { + "epoch": 0.56, + "learning_rate": 4.252055667817332e-06, + "loss": 0.6221, + "step": 19108 + }, + { + "epoch": 0.56, + "learning_rate": 4.25158525620099e-06, + "loss": 0.6875, + "step": 19109 + }, + { + "epoch": 0.56, + "learning_rate": 4.251114851360954e-06, + "loss": 0.4216, + "step": 19110 + }, + { + "epoch": 0.56, + "learning_rate": 4.250644453301486e-06, + "loss": 0.8592, + "step": 19111 + }, + { + "epoch": 0.56, + "learning_rate": 4.2501740620268456e-06, + "loss": 0.7025, + "step": 19112 + }, + { + "epoch": 0.56, + "learning_rate": 4.249703677541291e-06, + "loss": 0.6418, + "step": 19113 + }, + { + "epoch": 0.56, + "learning_rate": 4.249233299849082e-06, + "loss": 0.6131, + "step": 19114 + }, + { + "epoch": 0.56, + "learning_rate": 4.248762928954475e-06, + "loss": 0.9781, + "step": 19115 + }, + { + "epoch": 0.56, + "learning_rate": 4.248292564861731e-06, + "loss": 0.6346, + "step": 19116 + }, + { + "epoch": 0.56, + "learning_rate": 4.247822207575108e-06, + "loss": 0.4798, + "step": 19117 + }, + { + "epoch": 0.56, + "learning_rate": 4.247351857098866e-06, + "loss": 0.8216, + "step": 19118 + }, + { + "epoch": 0.56, + "learning_rate": 4.246881513437262e-06, + "loss": 0.7599, + "step": 19119 + }, + { + "epoch": 0.56, + "learning_rate": 4.246411176594556e-06, + "loss": 0.709, + "step": 19120 + }, + { + "epoch": 0.56, + "learning_rate": 4.245940846575002e-06, + "loss": 0.8979, + "step": 19121 + }, + { + "epoch": 0.56, + "learning_rate": 4.245470523382865e-06, + "loss": 0.8109, + "step": 19122 + }, + { + "epoch": 0.56, + "learning_rate": 4.2450002070224e-06, + "loss": 0.9169, + "step": 19123 + }, + { + "epoch": 0.56, + "learning_rate": 4.2445298974978674e-06, + "loss": 0.7991, + "step": 19124 + }, + { + "epoch": 0.56, + "learning_rate": 4.244059594813523e-06, + "loss": 0.9664, + "step": 19125 + }, + { + "epoch": 0.56, + "learning_rate": 4.243589298973626e-06, + "loss": 1.0173, + "step": 19126 + }, + { + "epoch": 0.56, + "learning_rate": 4.2431190099824345e-06, + "loss": 0.6466, + "step": 19127 + }, + { + "epoch": 0.56, + "learning_rate": 4.242648727844208e-06, + "loss": 0.847, + "step": 19128 + }, + { + "epoch": 0.56, + "learning_rate": 4.242178452563202e-06, + "loss": 0.6841, + "step": 19129 + }, + { + "epoch": 0.56, + "learning_rate": 4.241708184143677e-06, + "loss": 0.8373, + "step": 19130 + }, + { + "epoch": 0.56, + "learning_rate": 4.241237922589886e-06, + "loss": 0.5222, + "step": 19131 + }, + { + "epoch": 0.56, + "learning_rate": 4.240767667906093e-06, + "loss": 0.8677, + "step": 19132 + }, + { + "epoch": 0.56, + "learning_rate": 4.240297420096553e-06, + "loss": 0.762, + "step": 19133 + }, + { + "epoch": 0.56, + "learning_rate": 4.239827179165524e-06, + "loss": 0.848, + "step": 19134 + }, + { + "epoch": 0.56, + "learning_rate": 4.239356945117264e-06, + "loss": 0.7677, + "step": 19135 + }, + { + "epoch": 0.56, + "learning_rate": 4.23888671795603e-06, + "loss": 0.7278, + "step": 19136 + }, + { + "epoch": 0.56, + "learning_rate": 4.23841649768608e-06, + "loss": 0.6809, + "step": 19137 + }, + { + "epoch": 0.56, + "learning_rate": 4.237946284311671e-06, + "loss": 0.7113, + "step": 19138 + }, + { + "epoch": 0.56, + "learning_rate": 4.237476077837061e-06, + "loss": 0.8605, + "step": 19139 + }, + { + "epoch": 0.56, + "learning_rate": 4.237005878266506e-06, + "loss": 0.6916, + "step": 19140 + }, + { + "epoch": 0.56, + "learning_rate": 4.236535685604263e-06, + "loss": 0.8404, + "step": 19141 + }, + { + "epoch": 0.56, + "learning_rate": 4.236065499854592e-06, + "loss": 0.7488, + "step": 19142 + }, + { + "epoch": 0.56, + "learning_rate": 4.23559532102175e-06, + "loss": 0.729, + "step": 19143 + }, + { + "epoch": 0.56, + "learning_rate": 4.235125149109992e-06, + "loss": 0.5595, + "step": 19144 + }, + { + "epoch": 0.56, + "learning_rate": 4.234654984123576e-06, + "loss": 0.5575, + "step": 19145 + }, + { + "epoch": 0.56, + "learning_rate": 4.234184826066759e-06, + "loss": 0.7557, + "step": 19146 + }, + { + "epoch": 0.56, + "learning_rate": 4.2337146749437974e-06, + "loss": 0.5507, + "step": 19147 + }, + { + "epoch": 0.56, + "learning_rate": 4.233244530758948e-06, + "loss": 0.6589, + "step": 19148 + }, + { + "epoch": 0.56, + "learning_rate": 4.232774393516469e-06, + "loss": 0.6354, + "step": 19149 + }, + { + "epoch": 0.56, + "learning_rate": 4.232304263220615e-06, + "loss": 0.7002, + "step": 19150 + }, + { + "epoch": 0.56, + "learning_rate": 4.231834139875643e-06, + "loss": 0.6222, + "step": 19151 + }, + { + "epoch": 0.56, + "learning_rate": 4.231364023485812e-06, + "loss": 0.6578, + "step": 19152 + }, + { + "epoch": 0.56, + "learning_rate": 4.230893914055376e-06, + "loss": 0.7094, + "step": 19153 + }, + { + "epoch": 0.56, + "learning_rate": 4.230423811588593e-06, + "loss": 1.0554, + "step": 19154 + }, + { + "epoch": 0.56, + "learning_rate": 4.229953716089719e-06, + "loss": 0.6459, + "step": 19155 + }, + { + "epoch": 0.56, + "learning_rate": 4.229483627563009e-06, + "loss": 0.5715, + "step": 19156 + }, + { + "epoch": 0.56, + "learning_rate": 4.229013546012721e-06, + "loss": 0.5558, + "step": 19157 + }, + { + "epoch": 0.56, + "learning_rate": 4.228543471443111e-06, + "loss": 0.7918, + "step": 19158 + }, + { + "epoch": 0.56, + "learning_rate": 4.228073403858434e-06, + "loss": 0.629, + "step": 19159 + }, + { + "epoch": 0.56, + "learning_rate": 4.227603343262947e-06, + "loss": 0.6388, + "step": 19160 + }, + { + "epoch": 0.56, + "learning_rate": 4.227133289660904e-06, + "loss": 0.681, + "step": 19161 + }, + { + "epoch": 0.56, + "learning_rate": 4.226663243056565e-06, + "loss": 0.7657, + "step": 19162 + }, + { + "epoch": 0.56, + "learning_rate": 4.226193203454184e-06, + "loss": 0.7776, + "step": 19163 + }, + { + "epoch": 0.56, + "learning_rate": 4.225723170858016e-06, + "loss": 0.6047, + "step": 19164 + }, + { + "epoch": 0.56, + "learning_rate": 4.2252531452723175e-06, + "loss": 0.5209, + "step": 19165 + }, + { + "epoch": 0.56, + "learning_rate": 4.224783126701345e-06, + "loss": 0.6981, + "step": 19166 + }, + { + "epoch": 0.56, + "learning_rate": 4.224313115149352e-06, + "loss": 0.7401, + "step": 19167 + }, + { + "epoch": 0.56, + "learning_rate": 4.223843110620596e-06, + "loss": 0.9376, + "step": 19168 + }, + { + "epoch": 0.56, + "learning_rate": 4.223373113119331e-06, + "loss": 0.6706, + "step": 19169 + }, + { + "epoch": 0.56, + "learning_rate": 4.222903122649813e-06, + "loss": 0.5264, + "step": 19170 + }, + { + "epoch": 0.56, + "learning_rate": 4.222433139216299e-06, + "loss": 0.9177, + "step": 19171 + }, + { + "epoch": 0.56, + "learning_rate": 4.221963162823043e-06, + "loss": 0.7718, + "step": 19172 + }, + { + "epoch": 0.56, + "learning_rate": 4.2214931934743e-06, + "loss": 0.6546, + "step": 19173 + }, + { + "epoch": 0.56, + "learning_rate": 4.2210232311743245e-06, + "loss": 0.7401, + "step": 19174 + }, + { + "epoch": 0.56, + "learning_rate": 4.220553275927374e-06, + "loss": 0.7495, + "step": 19175 + }, + { + "epoch": 0.56, + "learning_rate": 4.220083327737702e-06, + "loss": 0.7393, + "step": 19176 + }, + { + "epoch": 0.56, + "learning_rate": 4.219613386609563e-06, + "loss": 0.8541, + "step": 19177 + }, + { + "epoch": 0.56, + "learning_rate": 4.219143452547213e-06, + "loss": 0.5697, + "step": 19178 + }, + { + "epoch": 0.56, + "learning_rate": 4.218673525554908e-06, + "loss": 0.4476, + "step": 19179 + }, + { + "epoch": 0.56, + "learning_rate": 4.218203605636898e-06, + "loss": 0.8817, + "step": 19180 + }, + { + "epoch": 0.56, + "learning_rate": 4.217733692797443e-06, + "loss": 0.6587, + "step": 19181 + }, + { + "epoch": 0.56, + "learning_rate": 4.217263787040796e-06, + "loss": 0.6891, + "step": 19182 + }, + { + "epoch": 0.56, + "learning_rate": 4.216793888371211e-06, + "loss": 0.6546, + "step": 19183 + }, + { + "epoch": 0.56, + "learning_rate": 4.216323996792944e-06, + "loss": 0.8185, + "step": 19184 + }, + { + "epoch": 0.56, + "learning_rate": 4.215854112310248e-06, + "loss": 0.77, + "step": 19185 + }, + { + "epoch": 0.56, + "learning_rate": 4.215384234927378e-06, + "loss": 0.9153, + "step": 19186 + }, + { + "epoch": 0.56, + "learning_rate": 4.2149143646485885e-06, + "loss": 0.8982, + "step": 19187 + }, + { + "epoch": 0.56, + "learning_rate": 4.214444501478133e-06, + "loss": 0.6632, + "step": 19188 + }, + { + "epoch": 0.56, + "learning_rate": 4.213974645420267e-06, + "loss": 0.7527, + "step": 19189 + }, + { + "epoch": 0.56, + "learning_rate": 4.213504796479243e-06, + "loss": 0.5987, + "step": 19190 + }, + { + "epoch": 0.56, + "learning_rate": 4.213034954659317e-06, + "loss": 0.636, + "step": 19191 + }, + { + "epoch": 0.56, + "learning_rate": 4.212565119964743e-06, + "loss": 0.7462, + "step": 19192 + }, + { + "epoch": 0.56, + "learning_rate": 4.2120952923997735e-06, + "loss": 0.3821, + "step": 19193 + }, + { + "epoch": 0.56, + "learning_rate": 4.211625471968664e-06, + "loss": 0.8278, + "step": 19194 + }, + { + "epoch": 0.56, + "learning_rate": 4.211155658675666e-06, + "loss": 0.7364, + "step": 19195 + }, + { + "epoch": 0.56, + "learning_rate": 4.210685852525035e-06, + "loss": 0.7512, + "step": 19196 + }, + { + "epoch": 0.56, + "learning_rate": 4.210216053521025e-06, + "loss": 0.6038, + "step": 19197 + }, + { + "epoch": 0.56, + "learning_rate": 4.209746261667889e-06, + "loss": 0.5857, + "step": 19198 + }, + { + "epoch": 0.56, + "learning_rate": 4.209276476969881e-06, + "loss": 0.8337, + "step": 19199 + }, + { + "epoch": 0.56, + "learning_rate": 4.208806699431252e-06, + "loss": 0.6793, + "step": 19200 + }, + { + "epoch": 0.56, + "learning_rate": 4.2083369290562595e-06, + "loss": 1.011, + "step": 19201 + }, + { + "epoch": 0.56, + "learning_rate": 4.207867165849156e-06, + "loss": 0.6074, + "step": 19202 + }, + { + "epoch": 0.56, + "learning_rate": 4.207397409814193e-06, + "loss": 0.7236, + "step": 19203 + }, + { + "epoch": 0.56, + "learning_rate": 4.206927660955625e-06, + "loss": 0.8581, + "step": 19204 + }, + { + "epoch": 0.56, + "learning_rate": 4.2064579192777055e-06, + "loss": 0.9187, + "step": 19205 + }, + { + "epoch": 0.56, + "learning_rate": 4.205988184784687e-06, + "loss": 0.6506, + "step": 19206 + }, + { + "epoch": 0.56, + "learning_rate": 4.205518457480822e-06, + "loss": 0.7257, + "step": 19207 + }, + { + "epoch": 0.56, + "learning_rate": 4.205048737370366e-06, + "loss": 0.7449, + "step": 19208 + }, + { + "epoch": 0.56, + "learning_rate": 4.204579024457568e-06, + "loss": 0.7107, + "step": 19209 + }, + { + "epoch": 0.56, + "learning_rate": 4.204109318746683e-06, + "loss": 0.8528, + "step": 19210 + }, + { + "epoch": 0.56, + "learning_rate": 4.203639620241964e-06, + "loss": 0.7585, + "step": 19211 + }, + { + "epoch": 0.56, + "learning_rate": 4.203169928947665e-06, + "loss": 0.5532, + "step": 19212 + }, + { + "epoch": 0.56, + "learning_rate": 4.202700244868037e-06, + "loss": 0.7641, + "step": 19213 + }, + { + "epoch": 0.56, + "learning_rate": 4.202230568007332e-06, + "loss": 0.6802, + "step": 19214 + }, + { + "epoch": 0.56, + "learning_rate": 4.201760898369804e-06, + "loss": 0.5995, + "step": 19215 + }, + { + "epoch": 0.56, + "learning_rate": 4.201291235959705e-06, + "loss": 0.6654, + "step": 19216 + }, + { + "epoch": 0.56, + "learning_rate": 4.200821580781287e-06, + "loss": 0.9512, + "step": 19217 + }, + { + "epoch": 0.56, + "learning_rate": 4.200351932838803e-06, + "loss": 0.9639, + "step": 19218 + }, + { + "epoch": 0.56, + "learning_rate": 4.199882292136506e-06, + "loss": 0.5261, + "step": 19219 + }, + { + "epoch": 0.56, + "learning_rate": 4.199412658678644e-06, + "loss": 0.8691, + "step": 19220 + }, + { + "epoch": 0.56, + "learning_rate": 4.198943032469474e-06, + "loss": 0.7908, + "step": 19221 + }, + { + "epoch": 0.56, + "learning_rate": 4.1984734135132475e-06, + "loss": 0.8148, + "step": 19222 + }, + { + "epoch": 0.56, + "learning_rate": 4.1980038018142155e-06, + "loss": 0.762, + "step": 19223 + }, + { + "epoch": 0.56, + "learning_rate": 4.19753419737663e-06, + "loss": 0.5669, + "step": 19224 + }, + { + "epoch": 0.56, + "learning_rate": 4.197064600204743e-06, + "loss": 1.0602, + "step": 19225 + }, + { + "epoch": 0.56, + "learning_rate": 4.196595010302805e-06, + "loss": 0.7599, + "step": 19226 + }, + { + "epoch": 0.56, + "learning_rate": 4.19612542767507e-06, + "loss": 0.6942, + "step": 19227 + }, + { + "epoch": 0.56, + "learning_rate": 4.19565585232579e-06, + "loss": 0.9062, + "step": 19228 + }, + { + "epoch": 0.56, + "learning_rate": 4.195186284259213e-06, + "loss": 0.5186, + "step": 19229 + }, + { + "epoch": 0.56, + "learning_rate": 4.194716723479593e-06, + "loss": 0.7137, + "step": 19230 + }, + { + "epoch": 0.56, + "learning_rate": 4.194247169991183e-06, + "loss": 0.7172, + "step": 19231 + }, + { + "epoch": 0.57, + "learning_rate": 4.193777623798232e-06, + "loss": 0.6108, + "step": 19232 + }, + { + "epoch": 0.57, + "learning_rate": 4.193308084904993e-06, + "loss": 0.8921, + "step": 19233 + }, + { + "epoch": 0.57, + "learning_rate": 4.192838553315716e-06, + "loss": 0.5737, + "step": 19234 + }, + { + "epoch": 0.57, + "learning_rate": 4.192369029034653e-06, + "loss": 0.7384, + "step": 19235 + }, + { + "epoch": 0.57, + "learning_rate": 4.1918995120660546e-06, + "loss": 0.7799, + "step": 19236 + }, + { + "epoch": 0.57, + "learning_rate": 4.191430002414173e-06, + "loss": 0.9402, + "step": 19237 + }, + { + "epoch": 0.57, + "learning_rate": 4.190960500083258e-06, + "loss": 0.7382, + "step": 19238 + }, + { + "epoch": 0.57, + "learning_rate": 4.190491005077559e-06, + "loss": 0.574, + "step": 19239 + }, + { + "epoch": 0.57, + "learning_rate": 4.190021517401331e-06, + "loss": 0.823, + "step": 19240 + }, + { + "epoch": 0.57, + "learning_rate": 4.189552037058823e-06, + "loss": 0.6072, + "step": 19241 + }, + { + "epoch": 0.57, + "learning_rate": 4.189082564054286e-06, + "loss": 0.6609, + "step": 19242 + }, + { + "epoch": 0.57, + "learning_rate": 4.1886130983919695e-06, + "loss": 0.6317, + "step": 19243 + }, + { + "epoch": 0.57, + "learning_rate": 4.188143640076126e-06, + "loss": 0.4416, + "step": 19244 + }, + { + "epoch": 0.57, + "learning_rate": 4.187674189111004e-06, + "loss": 0.6671, + "step": 19245 + }, + { + "epoch": 0.57, + "learning_rate": 4.187204745500855e-06, + "loss": 0.6977, + "step": 19246 + }, + { + "epoch": 0.57, + "learning_rate": 4.18673530924993e-06, + "loss": 0.6408, + "step": 19247 + }, + { + "epoch": 0.57, + "learning_rate": 4.186265880362479e-06, + "loss": 0.6081, + "step": 19248 + }, + { + "epoch": 0.57, + "learning_rate": 4.1857964588427515e-06, + "loss": 0.7349, + "step": 19249 + }, + { + "epoch": 0.57, + "learning_rate": 4.185327044694998e-06, + "loss": 0.8601, + "step": 19250 + }, + { + "epoch": 0.57, + "learning_rate": 4.184857637923471e-06, + "loss": 0.6916, + "step": 19251 + }, + { + "epoch": 0.57, + "learning_rate": 4.184388238532418e-06, + "loss": 0.9531, + "step": 19252 + }, + { + "epoch": 0.57, + "learning_rate": 4.1839188465260895e-06, + "loss": 0.8146, + "step": 19253 + }, + { + "epoch": 0.57, + "learning_rate": 4.183449461908735e-06, + "loss": 0.9958, + "step": 19254 + }, + { + "epoch": 0.57, + "learning_rate": 4.1829800846846065e-06, + "loss": 0.6506, + "step": 19255 + }, + { + "epoch": 0.57, + "learning_rate": 4.182510714857952e-06, + "loss": 0.9237, + "step": 19256 + }, + { + "epoch": 0.57, + "learning_rate": 4.182041352433022e-06, + "loss": 0.7094, + "step": 19257 + }, + { + "epoch": 0.57, + "learning_rate": 4.181571997414065e-06, + "loss": 0.5518, + "step": 19258 + }, + { + "epoch": 0.57, + "learning_rate": 4.18110264980533e-06, + "loss": 0.9316, + "step": 19259 + }, + { + "epoch": 0.57, + "learning_rate": 4.180633309611071e-06, + "loss": 0.6214, + "step": 19260 + }, + { + "epoch": 0.57, + "learning_rate": 4.180163976835534e-06, + "loss": 0.6155, + "step": 19261 + }, + { + "epoch": 0.57, + "learning_rate": 4.17969465148297e-06, + "loss": 0.8695, + "step": 19262 + }, + { + "epoch": 0.57, + "learning_rate": 4.179225333557626e-06, + "loss": 0.5757, + "step": 19263 + }, + { + "epoch": 0.57, + "learning_rate": 4.1787560230637536e-06, + "loss": 0.5683, + "step": 19264 + }, + { + "epoch": 0.57, + "learning_rate": 4.178286720005602e-06, + "loss": 0.6196, + "step": 19265 + }, + { + "epoch": 0.57, + "learning_rate": 4.177817424387419e-06, + "loss": 0.9008, + "step": 19266 + }, + { + "epoch": 0.57, + "learning_rate": 4.177348136213454e-06, + "loss": 0.7509, + "step": 19267 + }, + { + "epoch": 0.57, + "learning_rate": 4.176878855487956e-06, + "loss": 0.9127, + "step": 19268 + }, + { + "epoch": 0.57, + "learning_rate": 4.176409582215174e-06, + "loss": 0.6977, + "step": 19269 + }, + { + "epoch": 0.57, + "learning_rate": 4.1759403163993585e-06, + "loss": 0.8966, + "step": 19270 + }, + { + "epoch": 0.57, + "learning_rate": 4.175471058044756e-06, + "loss": 0.5791, + "step": 19271 + }, + { + "epoch": 0.57, + "learning_rate": 4.175001807155618e-06, + "loss": 0.6332, + "step": 19272 + }, + { + "epoch": 0.57, + "learning_rate": 4.17453256373619e-06, + "loss": 0.7422, + "step": 19273 + }, + { + "epoch": 0.57, + "learning_rate": 4.174063327790723e-06, + "loss": 0.9348, + "step": 19274 + }, + { + "epoch": 0.57, + "learning_rate": 4.173594099323465e-06, + "loss": 0.4938, + "step": 19275 + }, + { + "epoch": 0.57, + "learning_rate": 4.173124878338664e-06, + "loss": 0.7722, + "step": 19276 + }, + { + "epoch": 0.57, + "learning_rate": 4.172655664840568e-06, + "loss": 0.7492, + "step": 19277 + }, + { + "epoch": 0.57, + "learning_rate": 4.1721864588334265e-06, + "loss": 0.6349, + "step": 19278 + }, + { + "epoch": 0.57, + "learning_rate": 4.171717260321485e-06, + "loss": 0.6654, + "step": 19279 + }, + { + "epoch": 0.57, + "learning_rate": 4.1712480693089965e-06, + "loss": 0.6647, + "step": 19280 + }, + { + "epoch": 0.57, + "learning_rate": 4.170778885800206e-06, + "loss": 0.59, + "step": 19281 + }, + { + "epoch": 0.57, + "learning_rate": 4.170309709799363e-06, + "loss": 0.8209, + "step": 19282 + }, + { + "epoch": 0.57, + "learning_rate": 4.169840541310714e-06, + "loss": 0.8233, + "step": 19283 + }, + { + "epoch": 0.57, + "learning_rate": 4.1693713803385085e-06, + "loss": 0.7907, + "step": 19284 + }, + { + "epoch": 0.57, + "learning_rate": 4.168902226886994e-06, + "loss": 0.8343, + "step": 19285 + }, + { + "epoch": 0.57, + "learning_rate": 4.168433080960417e-06, + "loss": 0.5267, + "step": 19286 + }, + { + "epoch": 0.57, + "learning_rate": 4.167963942563027e-06, + "loss": 1.0974, + "step": 19287 + }, + { + "epoch": 0.57, + "learning_rate": 4.16749481169907e-06, + "loss": 0.6777, + "step": 19288 + }, + { + "epoch": 0.57, + "learning_rate": 4.167025688372794e-06, + "loss": 0.62, + "step": 19289 + }, + { + "epoch": 0.57, + "learning_rate": 4.166556572588448e-06, + "loss": 0.6615, + "step": 19290 + }, + { + "epoch": 0.57, + "learning_rate": 4.166087464350278e-06, + "loss": 0.6859, + "step": 19291 + }, + { + "epoch": 0.57, + "learning_rate": 4.1656183636625324e-06, + "loss": 0.793, + "step": 19292 + }, + { + "epoch": 0.57, + "learning_rate": 4.165149270529459e-06, + "loss": 0.9518, + "step": 19293 + }, + { + "epoch": 0.57, + "learning_rate": 4.164680184955303e-06, + "loss": 0.4991, + "step": 19294 + }, + { + "epoch": 0.57, + "learning_rate": 4.164211106944312e-06, + "loss": 0.6385, + "step": 19295 + }, + { + "epoch": 0.57, + "learning_rate": 4.1637420365007355e-06, + "loss": 0.7037, + "step": 19296 + }, + { + "epoch": 0.57, + "learning_rate": 4.163272973628818e-06, + "loss": 0.6826, + "step": 19297 + }, + { + "epoch": 0.57, + "learning_rate": 4.162803918332807e-06, + "loss": 0.6949, + "step": 19298 + }, + { + "epoch": 0.57, + "learning_rate": 4.162334870616949e-06, + "loss": 0.9857, + "step": 19299 + }, + { + "epoch": 0.57, + "learning_rate": 4.161865830485493e-06, + "loss": 0.5996, + "step": 19300 + }, + { + "epoch": 0.57, + "learning_rate": 4.161396797942685e-06, + "loss": 0.7444, + "step": 19301 + }, + { + "epoch": 0.57, + "learning_rate": 4.16092777299277e-06, + "loss": 0.6654, + "step": 19302 + }, + { + "epoch": 0.57, + "learning_rate": 4.160458755639997e-06, + "loss": 0.697, + "step": 19303 + }, + { + "epoch": 0.57, + "learning_rate": 4.159989745888612e-06, + "loss": 0.6434, + "step": 19304 + }, + { + "epoch": 0.57, + "learning_rate": 4.159520743742859e-06, + "loss": 0.6108, + "step": 19305 + }, + { + "epoch": 0.57, + "learning_rate": 4.1590517492069885e-06, + "loss": 0.6608, + "step": 19306 + }, + { + "epoch": 0.57, + "learning_rate": 4.158582762285244e-06, + "loss": 0.6484, + "step": 19307 + }, + { + "epoch": 0.57, + "learning_rate": 4.158113782981871e-06, + "loss": 0.6705, + "step": 19308 + }, + { + "epoch": 0.57, + "learning_rate": 4.157644811301118e-06, + "loss": 0.6635, + "step": 19309 + }, + { + "epoch": 0.57, + "learning_rate": 4.157175847247233e-06, + "loss": 0.737, + "step": 19310 + }, + { + "epoch": 0.57, + "learning_rate": 4.156706890824457e-06, + "loss": 0.9652, + "step": 19311 + }, + { + "epoch": 0.57, + "learning_rate": 4.15623794203704e-06, + "loss": 0.6028, + "step": 19312 + }, + { + "epoch": 0.57, + "learning_rate": 4.155769000889226e-06, + "loss": 1.0018, + "step": 19313 + }, + { + "epoch": 0.57, + "learning_rate": 4.155300067385262e-06, + "loss": 0.6777, + "step": 19314 + }, + { + "epoch": 0.57, + "learning_rate": 4.154831141529393e-06, + "loss": 1.1519, + "step": 19315 + }, + { + "epoch": 0.57, + "learning_rate": 4.154362223325865e-06, + "loss": 0.5525, + "step": 19316 + }, + { + "epoch": 0.57, + "learning_rate": 4.1538933127789235e-06, + "loss": 0.7912, + "step": 19317 + }, + { + "epoch": 0.57, + "learning_rate": 4.153424409892813e-06, + "loss": 0.7068, + "step": 19318 + }, + { + "epoch": 0.57, + "learning_rate": 4.152955514671783e-06, + "loss": 0.997, + "step": 19319 + }, + { + "epoch": 0.57, + "learning_rate": 4.152486627120076e-06, + "loss": 0.5978, + "step": 19320 + }, + { + "epoch": 0.57, + "learning_rate": 4.152017747241937e-06, + "loss": 0.6799, + "step": 19321 + }, + { + "epoch": 0.57, + "learning_rate": 4.1515488750416125e-06, + "loss": 0.6845, + "step": 19322 + }, + { + "epoch": 0.57, + "learning_rate": 4.151080010523348e-06, + "loss": 0.6962, + "step": 19323 + }, + { + "epoch": 0.57, + "learning_rate": 4.150611153691387e-06, + "loss": 0.8239, + "step": 19324 + }, + { + "epoch": 0.57, + "learning_rate": 4.150142304549977e-06, + "loss": 0.8558, + "step": 19325 + }, + { + "epoch": 0.57, + "learning_rate": 4.149673463103361e-06, + "loss": 0.7293, + "step": 19326 + }, + { + "epoch": 0.57, + "learning_rate": 4.149204629355786e-06, + "loss": 0.5757, + "step": 19327 + }, + { + "epoch": 0.57, + "learning_rate": 4.148735803311494e-06, + "loss": 0.7207, + "step": 19328 + }, + { + "epoch": 0.57, + "learning_rate": 4.148266984974733e-06, + "loss": 0.7201, + "step": 19329 + }, + { + "epoch": 0.57, + "learning_rate": 4.147798174349746e-06, + "loss": 0.8999, + "step": 19330 + }, + { + "epoch": 0.57, + "learning_rate": 4.147329371440777e-06, + "loss": 0.7544, + "step": 19331 + }, + { + "epoch": 0.57, + "learning_rate": 4.146860576252073e-06, + "loss": 0.4006, + "step": 19332 + }, + { + "epoch": 0.57, + "learning_rate": 4.146391788787877e-06, + "loss": 0.6093, + "step": 19333 + }, + { + "epoch": 0.57, + "learning_rate": 4.145923009052434e-06, + "loss": 0.6761, + "step": 19334 + }, + { + "epoch": 0.57, + "learning_rate": 4.145454237049989e-06, + "loss": 0.5218, + "step": 19335 + }, + { + "epoch": 0.57, + "learning_rate": 4.144985472784784e-06, + "loss": 0.7238, + "step": 19336 + }, + { + "epoch": 0.57, + "learning_rate": 4.144516716261066e-06, + "loss": 0.6048, + "step": 19337 + }, + { + "epoch": 0.57, + "learning_rate": 4.144047967483075e-06, + "loss": 0.7236, + "step": 19338 + }, + { + "epoch": 0.57, + "learning_rate": 4.143579226455061e-06, + "loss": 0.9356, + "step": 19339 + }, + { + "epoch": 0.57, + "learning_rate": 4.143110493181266e-06, + "loss": 0.7376, + "step": 19340 + }, + { + "epoch": 0.57, + "learning_rate": 4.142641767665933e-06, + "loss": 0.8866, + "step": 19341 + }, + { + "epoch": 0.57, + "learning_rate": 4.1421730499133055e-06, + "loss": 0.5804, + "step": 19342 + }, + { + "epoch": 0.57, + "learning_rate": 4.141704339927629e-06, + "loss": 0.677, + "step": 19343 + }, + { + "epoch": 0.57, + "learning_rate": 4.141235637713146e-06, + "loss": 0.9438, + "step": 19344 + }, + { + "epoch": 0.57, + "learning_rate": 4.140766943274101e-06, + "loss": 0.7765, + "step": 19345 + }, + { + "epoch": 0.57, + "learning_rate": 4.140298256614738e-06, + "loss": 0.6908, + "step": 19346 + }, + { + "epoch": 0.57, + "learning_rate": 4.139829577739299e-06, + "loss": 0.5937, + "step": 19347 + }, + { + "epoch": 0.57, + "learning_rate": 4.139360906652027e-06, + "loss": 1.0307, + "step": 19348 + }, + { + "epoch": 0.57, + "learning_rate": 4.138892243357169e-06, + "loss": 0.7502, + "step": 19349 + }, + { + "epoch": 0.57, + "learning_rate": 4.138423587858966e-06, + "loss": 0.7314, + "step": 19350 + }, + { + "epoch": 0.57, + "learning_rate": 4.137954940161662e-06, + "loss": 0.6895, + "step": 19351 + }, + { + "epoch": 0.57, + "learning_rate": 4.137486300269499e-06, + "loss": 0.6816, + "step": 19352 + }, + { + "epoch": 0.57, + "learning_rate": 4.137017668186722e-06, + "loss": 0.4624, + "step": 19353 + }, + { + "epoch": 0.57, + "learning_rate": 4.136549043917572e-06, + "loss": 0.746, + "step": 19354 + }, + { + "epoch": 0.57, + "learning_rate": 4.1360804274662945e-06, + "loss": 0.9026, + "step": 19355 + }, + { + "epoch": 0.57, + "learning_rate": 4.1356118188371304e-06, + "loss": 0.8596, + "step": 19356 + }, + { + "epoch": 0.57, + "learning_rate": 4.135143218034323e-06, + "loss": 0.665, + "step": 19357 + }, + { + "epoch": 0.57, + "learning_rate": 4.134674625062113e-06, + "loss": 0.7348, + "step": 19358 + }, + { + "epoch": 0.57, + "learning_rate": 4.134206039924749e-06, + "loss": 0.8456, + "step": 19359 + }, + { + "epoch": 0.57, + "learning_rate": 4.1337374626264694e-06, + "loss": 0.9432, + "step": 19360 + }, + { + "epoch": 0.57, + "learning_rate": 4.133268893171517e-06, + "loss": 0.5458, + "step": 19361 + }, + { + "epoch": 0.57, + "learning_rate": 4.132800331564136e-06, + "loss": 0.8295, + "step": 19362 + }, + { + "epoch": 0.57, + "learning_rate": 4.132331777808567e-06, + "loss": 0.8273, + "step": 19363 + }, + { + "epoch": 0.57, + "learning_rate": 4.131863231909054e-06, + "loss": 0.688, + "step": 19364 + }, + { + "epoch": 0.57, + "learning_rate": 4.131394693869838e-06, + "loss": 0.6702, + "step": 19365 + }, + { + "epoch": 0.57, + "learning_rate": 4.1309261636951615e-06, + "loss": 0.7349, + "step": 19366 + }, + { + "epoch": 0.57, + "learning_rate": 4.130457641389266e-06, + "loss": 0.8585, + "step": 19367 + }, + { + "epoch": 0.57, + "learning_rate": 4.129989126956396e-06, + "loss": 0.7893, + "step": 19368 + }, + { + "epoch": 0.57, + "learning_rate": 4.129520620400791e-06, + "loss": 0.684, + "step": 19369 + }, + { + "epoch": 0.57, + "learning_rate": 4.129052121726695e-06, + "loss": 0.684, + "step": 19370 + }, + { + "epoch": 0.57, + "learning_rate": 4.128583630938349e-06, + "loss": 0.9282, + "step": 19371 + }, + { + "epoch": 0.57, + "learning_rate": 4.128115148039994e-06, + "loss": 0.835, + "step": 19372 + }, + { + "epoch": 0.57, + "learning_rate": 4.127646673035873e-06, + "loss": 0.7459, + "step": 19373 + }, + { + "epoch": 0.57, + "learning_rate": 4.127178205930227e-06, + "loss": 0.6919, + "step": 19374 + }, + { + "epoch": 0.57, + "learning_rate": 4.1267097467272974e-06, + "loss": 1.0191, + "step": 19375 + }, + { + "epoch": 0.57, + "learning_rate": 4.126241295431327e-06, + "loss": 0.3505, + "step": 19376 + }, + { + "epoch": 0.57, + "learning_rate": 4.1257728520465535e-06, + "loss": 0.5936, + "step": 19377 + }, + { + "epoch": 0.57, + "learning_rate": 4.1253044165772225e-06, + "loss": 0.9318, + "step": 19378 + }, + { + "epoch": 0.57, + "learning_rate": 4.124835989027575e-06, + "loss": 0.9518, + "step": 19379 + }, + { + "epoch": 0.57, + "learning_rate": 4.124367569401851e-06, + "loss": 0.7721, + "step": 19380 + }, + { + "epoch": 0.57, + "learning_rate": 4.123899157704292e-06, + "loss": 0.6895, + "step": 19381 + }, + { + "epoch": 0.57, + "learning_rate": 4.123430753939138e-06, + "loss": 0.7008, + "step": 19382 + }, + { + "epoch": 0.57, + "learning_rate": 4.122962358110632e-06, + "loss": 0.6178, + "step": 19383 + }, + { + "epoch": 0.57, + "learning_rate": 4.1224939702230135e-06, + "loss": 0.9562, + "step": 19384 + }, + { + "epoch": 0.57, + "learning_rate": 4.122025590280524e-06, + "loss": 0.7269, + "step": 19385 + }, + { + "epoch": 0.57, + "learning_rate": 4.121557218287404e-06, + "loss": 0.8197, + "step": 19386 + }, + { + "epoch": 0.57, + "learning_rate": 4.121088854247893e-06, + "loss": 0.7122, + "step": 19387 + }, + { + "epoch": 0.57, + "learning_rate": 4.120620498166235e-06, + "loss": 0.8306, + "step": 19388 + }, + { + "epoch": 0.57, + "learning_rate": 4.1201521500466675e-06, + "loss": 0.624, + "step": 19389 + }, + { + "epoch": 0.57, + "learning_rate": 4.119683809893433e-06, + "loss": 0.6882, + "step": 19390 + }, + { + "epoch": 0.57, + "learning_rate": 4.11921547771077e-06, + "loss": 0.5664, + "step": 19391 + }, + { + "epoch": 0.57, + "learning_rate": 4.118747153502922e-06, + "loss": 0.7386, + "step": 19392 + }, + { + "epoch": 0.57, + "learning_rate": 4.1182788372741255e-06, + "loss": 0.6765, + "step": 19393 + }, + { + "epoch": 0.57, + "learning_rate": 4.117810529028623e-06, + "loss": 0.7284, + "step": 19394 + }, + { + "epoch": 0.57, + "learning_rate": 4.117342228770654e-06, + "loss": 0.7371, + "step": 19395 + }, + { + "epoch": 0.57, + "learning_rate": 4.11687393650446e-06, + "loss": 0.7892, + "step": 19396 + }, + { + "epoch": 0.57, + "learning_rate": 4.1164056522342765e-06, + "loss": 0.5748, + "step": 19397 + }, + { + "epoch": 0.57, + "learning_rate": 4.115937375964349e-06, + "loss": 0.6288, + "step": 19398 + }, + { + "epoch": 0.57, + "learning_rate": 4.115469107698915e-06, + "loss": 0.6755, + "step": 19399 + }, + { + "epoch": 0.57, + "learning_rate": 4.115000847442215e-06, + "loss": 0.7809, + "step": 19400 + }, + { + "epoch": 0.57, + "learning_rate": 4.1145325951984885e-06, + "loss": 0.763, + "step": 19401 + }, + { + "epoch": 0.57, + "learning_rate": 4.1140643509719735e-06, + "loss": 0.6465, + "step": 19402 + }, + { + "epoch": 0.57, + "learning_rate": 4.113596114766912e-06, + "loss": 0.4854, + "step": 19403 + }, + { + "epoch": 0.57, + "learning_rate": 4.113127886587542e-06, + "loss": 0.6585, + "step": 19404 + }, + { + "epoch": 0.57, + "learning_rate": 4.112659666438104e-06, + "loss": 0.8458, + "step": 19405 + }, + { + "epoch": 0.57, + "learning_rate": 4.1121914543228355e-06, + "loss": 0.6294, + "step": 19406 + }, + { + "epoch": 0.57, + "learning_rate": 4.111723250245976e-06, + "loss": 0.9365, + "step": 19407 + }, + { + "epoch": 0.57, + "learning_rate": 4.111255054211768e-06, + "loss": 0.7354, + "step": 19408 + }, + { + "epoch": 0.57, + "learning_rate": 4.110786866224448e-06, + "loss": 0.6038, + "step": 19409 + }, + { + "epoch": 0.57, + "learning_rate": 4.110318686288255e-06, + "loss": 0.8539, + "step": 19410 + }, + { + "epoch": 0.57, + "learning_rate": 4.109850514407429e-06, + "loss": 0.9642, + "step": 19411 + }, + { + "epoch": 0.57, + "learning_rate": 4.1093823505862075e-06, + "loss": 0.8522, + "step": 19412 + }, + { + "epoch": 0.57, + "learning_rate": 4.10891419482883e-06, + "loss": 0.4726, + "step": 19413 + }, + { + "epoch": 0.57, + "learning_rate": 4.108446047139537e-06, + "loss": 0.4533, + "step": 19414 + }, + { + "epoch": 0.57, + "learning_rate": 4.107977907522565e-06, + "loss": 0.6731, + "step": 19415 + }, + { + "epoch": 0.57, + "learning_rate": 4.107509775982154e-06, + "loss": 0.802, + "step": 19416 + }, + { + "epoch": 0.57, + "learning_rate": 4.1070416525225386e-06, + "loss": 0.7534, + "step": 19417 + }, + { + "epoch": 0.57, + "learning_rate": 4.106573537147964e-06, + "loss": 0.6035, + "step": 19418 + }, + { + "epoch": 0.57, + "learning_rate": 4.106105429862664e-06, + "loss": 0.5845, + "step": 19419 + }, + { + "epoch": 0.57, + "learning_rate": 4.105637330670879e-06, + "loss": 0.7837, + "step": 19420 + }, + { + "epoch": 0.57, + "learning_rate": 4.105169239576846e-06, + "loss": 0.821, + "step": 19421 + }, + { + "epoch": 0.57, + "learning_rate": 4.1047011565848045e-06, + "loss": 0.7551, + "step": 19422 + }, + { + "epoch": 0.57, + "learning_rate": 4.1042330816989916e-06, + "loss": 0.7456, + "step": 19423 + }, + { + "epoch": 0.57, + "learning_rate": 4.1037650149236445e-06, + "loss": 0.6396, + "step": 19424 + }, + { + "epoch": 0.57, + "learning_rate": 4.1032969562630034e-06, + "loss": 0.7653, + "step": 19425 + }, + { + "epoch": 0.57, + "learning_rate": 4.102828905721304e-06, + "loss": 0.6667, + "step": 19426 + }, + { + "epoch": 0.57, + "learning_rate": 4.102360863302784e-06, + "loss": 0.8461, + "step": 19427 + }, + { + "epoch": 0.57, + "learning_rate": 4.101892829011683e-06, + "loss": 0.724, + "step": 19428 + }, + { + "epoch": 0.57, + "learning_rate": 4.10142480285224e-06, + "loss": 0.6263, + "step": 19429 + }, + { + "epoch": 0.57, + "learning_rate": 4.100956784828691e-06, + "loss": 1.1835, + "step": 19430 + }, + { + "epoch": 0.57, + "learning_rate": 4.10048877494527e-06, + "loss": 0.6471, + "step": 19431 + }, + { + "epoch": 0.57, + "learning_rate": 4.10002077320622e-06, + "loss": 0.7217, + "step": 19432 + }, + { + "epoch": 0.57, + "learning_rate": 4.099552779615776e-06, + "loss": 0.6037, + "step": 19433 + }, + { + "epoch": 0.57, + "learning_rate": 4.099084794178173e-06, + "loss": 0.9318, + "step": 19434 + }, + { + "epoch": 0.57, + "learning_rate": 4.0986168168976525e-06, + "loss": 0.6381, + "step": 19435 + }, + { + "epoch": 0.57, + "learning_rate": 4.0981488477784475e-06, + "loss": 0.8531, + "step": 19436 + }, + { + "epoch": 0.57, + "learning_rate": 4.097680886824799e-06, + "loss": 0.7023, + "step": 19437 + }, + { + "epoch": 0.57, + "learning_rate": 4.097212934040943e-06, + "loss": 0.5667, + "step": 19438 + }, + { + "epoch": 0.57, + "learning_rate": 4.096744989431115e-06, + "loss": 0.6867, + "step": 19439 + }, + { + "epoch": 0.57, + "learning_rate": 4.0962770529995525e-06, + "loss": 0.9367, + "step": 19440 + }, + { + "epoch": 0.57, + "learning_rate": 4.095809124750493e-06, + "loss": 0.6829, + "step": 19441 + }, + { + "epoch": 0.57, + "learning_rate": 4.095341204688172e-06, + "loss": 0.9115, + "step": 19442 + }, + { + "epoch": 0.57, + "learning_rate": 4.094873292816827e-06, + "loss": 0.5999, + "step": 19443 + }, + { + "epoch": 0.57, + "learning_rate": 4.094405389140695e-06, + "loss": 0.5389, + "step": 19444 + }, + { + "epoch": 0.57, + "learning_rate": 4.093937493664011e-06, + "loss": 0.7136, + "step": 19445 + }, + { + "epoch": 0.57, + "learning_rate": 4.0934696063910115e-06, + "loss": 0.7157, + "step": 19446 + }, + { + "epoch": 0.57, + "learning_rate": 4.0930017273259345e-06, + "loss": 0.4765, + "step": 19447 + }, + { + "epoch": 0.57, + "learning_rate": 4.0925338564730164e-06, + "loss": 0.6645, + "step": 19448 + }, + { + "epoch": 0.57, + "learning_rate": 4.0920659938364916e-06, + "loss": 0.7488, + "step": 19449 + }, + { + "epoch": 0.57, + "learning_rate": 4.091598139420598e-06, + "loss": 0.6648, + "step": 19450 + }, + { + "epoch": 0.57, + "learning_rate": 4.091130293229569e-06, + "loss": 0.6599, + "step": 19451 + }, + { + "epoch": 0.57, + "learning_rate": 4.090662455267644e-06, + "loss": 0.5801, + "step": 19452 + }, + { + "epoch": 0.57, + "learning_rate": 4.0901946255390565e-06, + "loss": 0.9296, + "step": 19453 + }, + { + "epoch": 0.57, + "learning_rate": 4.089726804048043e-06, + "loss": 0.7223, + "step": 19454 + }, + { + "epoch": 0.57, + "learning_rate": 4.08925899079884e-06, + "loss": 0.7418, + "step": 19455 + }, + { + "epoch": 0.57, + "learning_rate": 4.088791185795681e-06, + "loss": 0.7056, + "step": 19456 + }, + { + "epoch": 0.57, + "learning_rate": 4.0883233890428035e-06, + "loss": 0.6153, + "step": 19457 + }, + { + "epoch": 0.57, + "learning_rate": 4.087855600544443e-06, + "loss": 0.8151, + "step": 19458 + }, + { + "epoch": 0.57, + "learning_rate": 4.087387820304835e-06, + "loss": 0.8576, + "step": 19459 + }, + { + "epoch": 0.57, + "learning_rate": 4.086920048328215e-06, + "loss": 0.5042, + "step": 19460 + }, + { + "epoch": 0.57, + "learning_rate": 4.086452284618817e-06, + "loss": 0.4981, + "step": 19461 + }, + { + "epoch": 0.57, + "learning_rate": 4.085984529180877e-06, + "loss": 1.0393, + "step": 19462 + }, + { + "epoch": 0.57, + "learning_rate": 4.08551678201863e-06, + "loss": 0.8296, + "step": 19463 + }, + { + "epoch": 0.57, + "learning_rate": 4.085049043136311e-06, + "loss": 0.7584, + "step": 19464 + }, + { + "epoch": 0.57, + "learning_rate": 4.084581312538156e-06, + "loss": 0.626, + "step": 19465 + }, + { + "epoch": 0.57, + "learning_rate": 4.0841135902283965e-06, + "loss": 0.8881, + "step": 19466 + }, + { + "epoch": 0.57, + "learning_rate": 4.083645876211272e-06, + "loss": 0.8975, + "step": 19467 + }, + { + "epoch": 0.57, + "learning_rate": 4.083178170491016e-06, + "loss": 0.6495, + "step": 19468 + }, + { + "epoch": 0.57, + "learning_rate": 4.082710473071862e-06, + "loss": 0.7596, + "step": 19469 + }, + { + "epoch": 0.57, + "learning_rate": 4.0822427839580454e-06, + "loss": 0.8584, + "step": 19470 + }, + { + "epoch": 0.57, + "learning_rate": 4.081775103153801e-06, + "loss": 0.6476, + "step": 19471 + }, + { + "epoch": 0.57, + "learning_rate": 4.081307430663363e-06, + "loss": 0.7448, + "step": 19472 + }, + { + "epoch": 0.57, + "learning_rate": 4.080839766490965e-06, + "loss": 0.8963, + "step": 19473 + }, + { + "epoch": 0.57, + "learning_rate": 4.080372110640842e-06, + "loss": 0.8372, + "step": 19474 + }, + { + "epoch": 0.57, + "learning_rate": 4.079904463117228e-06, + "loss": 0.8046, + "step": 19475 + }, + { + "epoch": 0.57, + "learning_rate": 4.079436823924357e-06, + "loss": 0.7308, + "step": 19476 + }, + { + "epoch": 0.57, + "learning_rate": 4.078969193066464e-06, + "loss": 0.6102, + "step": 19477 + }, + { + "epoch": 0.57, + "learning_rate": 4.078501570547782e-06, + "loss": 0.7954, + "step": 19478 + }, + { + "epoch": 0.57, + "learning_rate": 4.078033956372546e-06, + "loss": 0.73, + "step": 19479 + }, + { + "epoch": 0.57, + "learning_rate": 4.077566350544989e-06, + "loss": 0.6881, + "step": 19480 + }, + { + "epoch": 0.57, + "learning_rate": 4.077098753069346e-06, + "loss": 0.7507, + "step": 19481 + }, + { + "epoch": 0.57, + "learning_rate": 4.07663116394985e-06, + "loss": 0.6822, + "step": 19482 + }, + { + "epoch": 0.57, + "learning_rate": 4.076163583190735e-06, + "loss": 0.7759, + "step": 19483 + }, + { + "epoch": 0.57, + "learning_rate": 4.0756960107962325e-06, + "loss": 0.7089, + "step": 19484 + }, + { + "epoch": 0.57, + "learning_rate": 4.0752284467705785e-06, + "loss": 0.8681, + "step": 19485 + }, + { + "epoch": 0.57, + "learning_rate": 4.074760891118003e-06, + "loss": 0.8009, + "step": 19486 + }, + { + "epoch": 0.57, + "learning_rate": 4.074293343842745e-06, + "loss": 0.7255, + "step": 19487 + }, + { + "epoch": 0.57, + "learning_rate": 4.073825804949033e-06, + "loss": 0.838, + "step": 19488 + }, + { + "epoch": 0.57, + "learning_rate": 4.073358274441103e-06, + "loss": 0.702, + "step": 19489 + }, + { + "epoch": 0.57, + "learning_rate": 4.072890752323187e-06, + "loss": 0.7732, + "step": 19490 + }, + { + "epoch": 0.57, + "learning_rate": 4.072423238599518e-06, + "loss": 0.5927, + "step": 19491 + }, + { + "epoch": 0.57, + "learning_rate": 4.071955733274329e-06, + "loss": 0.6951, + "step": 19492 + }, + { + "epoch": 0.57, + "learning_rate": 4.071488236351852e-06, + "loss": 1.0511, + "step": 19493 + }, + { + "epoch": 0.57, + "learning_rate": 4.071020747836323e-06, + "loss": 0.866, + "step": 19494 + }, + { + "epoch": 0.57, + "learning_rate": 4.070553267731971e-06, + "loss": 0.6862, + "step": 19495 + }, + { + "epoch": 0.57, + "learning_rate": 4.070085796043028e-06, + "loss": 0.8959, + "step": 19496 + }, + { + "epoch": 0.57, + "learning_rate": 4.0696183327737315e-06, + "loss": 0.8209, + "step": 19497 + }, + { + "epoch": 0.57, + "learning_rate": 4.06915087792831e-06, + "loss": 0.6097, + "step": 19498 + }, + { + "epoch": 0.57, + "learning_rate": 4.068683431510998e-06, + "loss": 0.7932, + "step": 19499 + }, + { + "epoch": 0.57, + "learning_rate": 4.068215993526027e-06, + "loss": 0.7725, + "step": 19500 + }, + { + "epoch": 0.57, + "learning_rate": 4.0677485639776295e-06, + "loss": 0.6328, + "step": 19501 + }, + { + "epoch": 0.57, + "learning_rate": 4.067281142870037e-06, + "loss": 0.4798, + "step": 19502 + }, + { + "epoch": 0.57, + "learning_rate": 4.066813730207483e-06, + "loss": 0.6722, + "step": 19503 + }, + { + "epoch": 0.57, + "learning_rate": 4.066346325994197e-06, + "loss": 0.884, + "step": 19504 + }, + { + "epoch": 0.57, + "learning_rate": 4.065878930234411e-06, + "loss": 0.9242, + "step": 19505 + }, + { + "epoch": 0.57, + "learning_rate": 4.065411542932362e-06, + "loss": 0.7298, + "step": 19506 + }, + { + "epoch": 0.57, + "learning_rate": 4.064944164092278e-06, + "loss": 0.5806, + "step": 19507 + }, + { + "epoch": 0.57, + "learning_rate": 4.064476793718391e-06, + "loss": 0.6738, + "step": 19508 + }, + { + "epoch": 0.57, + "learning_rate": 4.0640094318149325e-06, + "loss": 0.7909, + "step": 19509 + }, + { + "epoch": 0.57, + "learning_rate": 4.063542078386135e-06, + "loss": 0.7619, + "step": 19510 + }, + { + "epoch": 0.57, + "learning_rate": 4.0630747334362286e-06, + "loss": 0.8719, + "step": 19511 + }, + { + "epoch": 0.57, + "learning_rate": 4.062607396969446e-06, + "loss": 0.6788, + "step": 19512 + }, + { + "epoch": 0.57, + "learning_rate": 4.062140068990019e-06, + "loss": 0.6177, + "step": 19513 + }, + { + "epoch": 0.57, + "learning_rate": 4.061672749502177e-06, + "loss": 0.6662, + "step": 19514 + }, + { + "epoch": 0.57, + "learning_rate": 4.061205438510152e-06, + "loss": 0.8164, + "step": 19515 + }, + { + "epoch": 0.57, + "learning_rate": 4.060738136018175e-06, + "loss": 0.5432, + "step": 19516 + }, + { + "epoch": 0.57, + "learning_rate": 4.0602708420304794e-06, + "loss": 0.766, + "step": 19517 + }, + { + "epoch": 0.57, + "learning_rate": 4.0598035565512925e-06, + "loss": 0.6706, + "step": 19518 + }, + { + "epoch": 0.57, + "learning_rate": 4.059336279584848e-06, + "loss": 0.6645, + "step": 19519 + }, + { + "epoch": 0.57, + "learning_rate": 4.058869011135376e-06, + "loss": 0.9761, + "step": 19520 + }, + { + "epoch": 0.57, + "learning_rate": 4.0584017512071056e-06, + "loss": 0.7856, + "step": 19521 + }, + { + "epoch": 0.57, + "learning_rate": 4.05793449980427e-06, + "loss": 0.7118, + "step": 19522 + }, + { + "epoch": 0.57, + "learning_rate": 4.057467256931098e-06, + "loss": 0.7818, + "step": 19523 + }, + { + "epoch": 0.57, + "learning_rate": 4.057000022591821e-06, + "loss": 0.5712, + "step": 19524 + }, + { + "epoch": 0.57, + "learning_rate": 4.056532796790666e-06, + "loss": 0.6937, + "step": 19525 + }, + { + "epoch": 0.57, + "learning_rate": 4.0560655795318695e-06, + "loss": 0.715, + "step": 19526 + }, + { + "epoch": 0.57, + "learning_rate": 4.055598370819659e-06, + "loss": 0.569, + "step": 19527 + }, + { + "epoch": 0.57, + "learning_rate": 4.055131170658264e-06, + "loss": 0.6405, + "step": 19528 + }, + { + "epoch": 0.57, + "learning_rate": 4.054663979051915e-06, + "loss": 0.5958, + "step": 19529 + }, + { + "epoch": 0.57, + "learning_rate": 4.054196796004843e-06, + "loss": 0.5803, + "step": 19530 + }, + { + "epoch": 0.57, + "learning_rate": 4.053729621521276e-06, + "loss": 0.9599, + "step": 19531 + }, + { + "epoch": 0.57, + "learning_rate": 4.053262455605445e-06, + "loss": 0.9008, + "step": 19532 + }, + { + "epoch": 0.57, + "learning_rate": 4.052795298261582e-06, + "loss": 0.636, + "step": 19533 + }, + { + "epoch": 0.57, + "learning_rate": 4.052328149493913e-06, + "loss": 0.9371, + "step": 19534 + }, + { + "epoch": 0.57, + "learning_rate": 4.051861009306668e-06, + "loss": 0.7761, + "step": 19535 + }, + { + "epoch": 0.57, + "learning_rate": 4.05139387770408e-06, + "loss": 0.9302, + "step": 19536 + }, + { + "epoch": 0.57, + "learning_rate": 4.050926754690375e-06, + "loss": 0.9246, + "step": 19537 + }, + { + "epoch": 0.57, + "learning_rate": 4.050459640269785e-06, + "loss": 0.8851, + "step": 19538 + }, + { + "epoch": 0.57, + "learning_rate": 4.0499925344465376e-06, + "loss": 0.5734, + "step": 19539 + }, + { + "epoch": 0.57, + "learning_rate": 4.0495254372248625e-06, + "loss": 0.674, + "step": 19540 + }, + { + "epoch": 0.57, + "learning_rate": 4.049058348608989e-06, + "loss": 0.5073, + "step": 19541 + }, + { + "epoch": 0.57, + "learning_rate": 4.048591268603147e-06, + "loss": 0.8306, + "step": 19542 + }, + { + "epoch": 0.57, + "learning_rate": 4.048124197211564e-06, + "loss": 0.7278, + "step": 19543 + }, + { + "epoch": 0.57, + "learning_rate": 4.04765713443847e-06, + "loss": 0.8773, + "step": 19544 + }, + { + "epoch": 0.57, + "learning_rate": 4.047190080288092e-06, + "loss": 0.7777, + "step": 19545 + }, + { + "epoch": 0.57, + "learning_rate": 4.0467230347646624e-06, + "loss": 0.6046, + "step": 19546 + }, + { + "epoch": 0.57, + "learning_rate": 4.0462559978724076e-06, + "loss": 0.6015, + "step": 19547 + }, + { + "epoch": 0.57, + "learning_rate": 4.045788969615557e-06, + "loss": 0.6607, + "step": 19548 + }, + { + "epoch": 0.57, + "learning_rate": 4.045321949998338e-06, + "loss": 0.6439, + "step": 19549 + }, + { + "epoch": 0.57, + "learning_rate": 4.044854939024982e-06, + "loss": 0.6734, + "step": 19550 + }, + { + "epoch": 0.57, + "learning_rate": 4.044387936699714e-06, + "loss": 0.6994, + "step": 19551 + }, + { + "epoch": 0.57, + "learning_rate": 4.0439209430267635e-06, + "loss": 1.0243, + "step": 19552 + }, + { + "epoch": 0.57, + "learning_rate": 4.043453958010359e-06, + "loss": 0.6489, + "step": 19553 + }, + { + "epoch": 0.57, + "learning_rate": 4.042986981654729e-06, + "loss": 0.7248, + "step": 19554 + }, + { + "epoch": 0.57, + "learning_rate": 4.0425200139641e-06, + "loss": 0.5251, + "step": 19555 + }, + { + "epoch": 0.57, + "learning_rate": 4.042053054942702e-06, + "loss": 0.5554, + "step": 19556 + }, + { + "epoch": 0.57, + "learning_rate": 4.041586104594763e-06, + "loss": 0.5053, + "step": 19557 + }, + { + "epoch": 0.57, + "learning_rate": 4.0411191629245085e-06, + "loss": 0.7826, + "step": 19558 + }, + { + "epoch": 0.57, + "learning_rate": 4.040652229936169e-06, + "loss": 0.7848, + "step": 19559 + }, + { + "epoch": 0.57, + "learning_rate": 4.040185305633971e-06, + "loss": 0.7182, + "step": 19560 + }, + { + "epoch": 0.57, + "learning_rate": 4.039718390022142e-06, + "loss": 0.6414, + "step": 19561 + }, + { + "epoch": 0.57, + "learning_rate": 4.03925148310491e-06, + "loss": 0.4778, + "step": 19562 + }, + { + "epoch": 0.57, + "learning_rate": 4.038784584886502e-06, + "loss": 0.5331, + "step": 19563 + }, + { + "epoch": 0.57, + "learning_rate": 4.038317695371144e-06, + "loss": 0.6353, + "step": 19564 + }, + { + "epoch": 0.57, + "learning_rate": 4.0378508145630664e-06, + "loss": 0.8551, + "step": 19565 + }, + { + "epoch": 0.57, + "learning_rate": 4.037383942466496e-06, + "loss": 0.94, + "step": 19566 + }, + { + "epoch": 0.57, + "learning_rate": 4.036917079085658e-06, + "loss": 0.7666, + "step": 19567 + }, + { + "epoch": 0.57, + "learning_rate": 4.036450224424781e-06, + "loss": 0.655, + "step": 19568 + }, + { + "epoch": 0.57, + "learning_rate": 4.0359833784880905e-06, + "loss": 0.6384, + "step": 19569 + }, + { + "epoch": 0.57, + "learning_rate": 4.035516541279816e-06, + "loss": 0.5924, + "step": 19570 + }, + { + "epoch": 0.57, + "learning_rate": 4.035049712804182e-06, + "loss": 0.7123, + "step": 19571 + }, + { + "epoch": 0.58, + "learning_rate": 4.0345828930654155e-06, + "loss": 0.5185, + "step": 19572 + }, + { + "epoch": 0.58, + "learning_rate": 4.034116082067744e-06, + "loss": 0.4847, + "step": 19573 + }, + { + "epoch": 0.58, + "learning_rate": 4.033649279815392e-06, + "loss": 0.784, + "step": 19574 + }, + { + "epoch": 0.58, + "learning_rate": 4.03318248631259e-06, + "loss": 0.6478, + "step": 19575 + }, + { + "epoch": 0.58, + "learning_rate": 4.032715701563561e-06, + "loss": 0.6952, + "step": 19576 + }, + { + "epoch": 0.58, + "learning_rate": 4.032248925572534e-06, + "loss": 0.4679, + "step": 19577 + }, + { + "epoch": 0.58, + "learning_rate": 4.0317821583437335e-06, + "loss": 0.7915, + "step": 19578 + }, + { + "epoch": 0.58, + "learning_rate": 4.0313153998813855e-06, + "loss": 0.7095, + "step": 19579 + }, + { + "epoch": 0.58, + "learning_rate": 4.030848650189717e-06, + "loss": 0.8806, + "step": 19580 + }, + { + "epoch": 0.58, + "learning_rate": 4.030381909272954e-06, + "loss": 0.7988, + "step": 19581 + }, + { + "epoch": 0.58, + "learning_rate": 4.0299151771353225e-06, + "loss": 0.7887, + "step": 19582 + }, + { + "epoch": 0.58, + "learning_rate": 4.029448453781048e-06, + "loss": 0.6225, + "step": 19583 + }, + { + "epoch": 0.58, + "learning_rate": 4.028981739214353e-06, + "loss": 0.6368, + "step": 19584 + }, + { + "epoch": 0.58, + "learning_rate": 4.0285150334394715e-06, + "loss": 0.4664, + "step": 19585 + }, + { + "epoch": 0.58, + "learning_rate": 4.028048336460623e-06, + "loss": 0.986, + "step": 19586 + }, + { + "epoch": 0.58, + "learning_rate": 4.027581648282034e-06, + "loss": 0.7899, + "step": 19587 + }, + { + "epoch": 0.58, + "learning_rate": 4.027114968907931e-06, + "loss": 0.6573, + "step": 19588 + }, + { + "epoch": 0.58, + "learning_rate": 4.026648298342538e-06, + "loss": 0.9195, + "step": 19589 + }, + { + "epoch": 0.58, + "learning_rate": 4.0261816365900825e-06, + "loss": 0.7174, + "step": 19590 + }, + { + "epoch": 0.58, + "learning_rate": 4.025714983654788e-06, + "loss": 0.777, + "step": 19591 + }, + { + "epoch": 0.58, + "learning_rate": 4.02524833954088e-06, + "loss": 0.7191, + "step": 19592 + }, + { + "epoch": 0.58, + "learning_rate": 4.024781704252583e-06, + "loss": 0.6589, + "step": 19593 + }, + { + "epoch": 0.58, + "learning_rate": 4.024315077794122e-06, + "loss": 0.9004, + "step": 19594 + }, + { + "epoch": 0.58, + "learning_rate": 4.023848460169725e-06, + "loss": 0.991, + "step": 19595 + }, + { + "epoch": 0.58, + "learning_rate": 4.023381851383613e-06, + "loss": 0.6772, + "step": 19596 + }, + { + "epoch": 0.58, + "learning_rate": 4.022915251440013e-06, + "loss": 0.8989, + "step": 19597 + }, + { + "epoch": 0.58, + "learning_rate": 4.022448660343149e-06, + "loss": 0.7694, + "step": 19598 + }, + { + "epoch": 0.58, + "learning_rate": 4.0219820780972455e-06, + "loss": 0.4324, + "step": 19599 + }, + { + "epoch": 0.58, + "learning_rate": 4.021515504706527e-06, + "loss": 0.7883, + "step": 19600 + }, + { + "epoch": 0.58, + "learning_rate": 4.021048940175219e-06, + "loss": 0.7881, + "step": 19601 + }, + { + "epoch": 0.58, + "learning_rate": 4.020582384507544e-06, + "loss": 0.7383, + "step": 19602 + }, + { + "epoch": 0.58, + "learning_rate": 4.020115837707728e-06, + "loss": 0.5457, + "step": 19603 + }, + { + "epoch": 0.58, + "learning_rate": 4.019649299779992e-06, + "loss": 0.6738, + "step": 19604 + }, + { + "epoch": 0.58, + "learning_rate": 4.019182770728565e-06, + "loss": 0.7121, + "step": 19605 + }, + { + "epoch": 0.58, + "learning_rate": 4.018716250557668e-06, + "loss": 0.7273, + "step": 19606 + }, + { + "epoch": 0.58, + "learning_rate": 4.018249739271526e-06, + "loss": 0.7516, + "step": 19607 + }, + { + "epoch": 0.58, + "learning_rate": 4.017783236874363e-06, + "loss": 0.8029, + "step": 19608 + }, + { + "epoch": 0.58, + "learning_rate": 4.0173167433704015e-06, + "loss": 0.6872, + "step": 19609 + }, + { + "epoch": 0.58, + "learning_rate": 4.016850258763867e-06, + "loss": 0.5757, + "step": 19610 + }, + { + "epoch": 0.58, + "learning_rate": 4.016383783058982e-06, + "loss": 0.7252, + "step": 19611 + }, + { + "epoch": 0.58, + "learning_rate": 4.01591731625997e-06, + "loss": 0.8222, + "step": 19612 + }, + { + "epoch": 0.58, + "learning_rate": 4.015450858371055e-06, + "loss": 0.6899, + "step": 19613 + }, + { + "epoch": 0.58, + "learning_rate": 4.014984409396459e-06, + "loss": 0.6722, + "step": 19614 + }, + { + "epoch": 0.58, + "learning_rate": 4.014517969340408e-06, + "loss": 0.9452, + "step": 19615 + }, + { + "epoch": 0.58, + "learning_rate": 4.014051538207124e-06, + "loss": 0.7337, + "step": 19616 + }, + { + "epoch": 0.58, + "learning_rate": 4.013585116000829e-06, + "loss": 0.7187, + "step": 19617 + }, + { + "epoch": 0.58, + "learning_rate": 4.013118702725748e-06, + "loss": 0.8385, + "step": 19618 + }, + { + "epoch": 0.58, + "learning_rate": 4.012652298386102e-06, + "loss": 0.391, + "step": 19619 + }, + { + "epoch": 0.58, + "learning_rate": 4.012185902986117e-06, + "loss": 0.776, + "step": 19620 + }, + { + "epoch": 0.58, + "learning_rate": 4.011719516530012e-06, + "loss": 0.8595, + "step": 19621 + }, + { + "epoch": 0.58, + "learning_rate": 4.011253139022012e-06, + "loss": 0.7388, + "step": 19622 + }, + { + "epoch": 0.58, + "learning_rate": 4.01078677046634e-06, + "loss": 0.6797, + "step": 19623 + }, + { + "epoch": 0.58, + "learning_rate": 4.010320410867215e-06, + "loss": 0.7194, + "step": 19624 + }, + { + "epoch": 0.58, + "learning_rate": 4.009854060228865e-06, + "loss": 0.6841, + "step": 19625 + }, + { + "epoch": 0.58, + "learning_rate": 4.0093877185555094e-06, + "loss": 0.7532, + "step": 19626 + }, + { + "epoch": 0.58, + "learning_rate": 4.008921385851371e-06, + "loss": 0.6275, + "step": 19627 + }, + { + "epoch": 0.58, + "learning_rate": 4.008455062120672e-06, + "loss": 0.8373, + "step": 19628 + }, + { + "epoch": 0.58, + "learning_rate": 4.0079887473676355e-06, + "loss": 0.9122, + "step": 19629 + }, + { + "epoch": 0.58, + "learning_rate": 4.007522441596482e-06, + "loss": 0.593, + "step": 19630 + }, + { + "epoch": 0.58, + "learning_rate": 4.007056144811435e-06, + "loss": 0.5888, + "step": 19631 + }, + { + "epoch": 0.58, + "learning_rate": 4.006589857016715e-06, + "loss": 0.6514, + "step": 19632 + }, + { + "epoch": 0.58, + "learning_rate": 4.006123578216544e-06, + "loss": 0.7836, + "step": 19633 + }, + { + "epoch": 0.58, + "learning_rate": 4.0056573084151454e-06, + "loss": 0.6038, + "step": 19634 + }, + { + "epoch": 0.58, + "learning_rate": 4.0051910476167395e-06, + "loss": 0.6606, + "step": 19635 + }, + { + "epoch": 0.58, + "learning_rate": 4.004724795825549e-06, + "loss": 0.8311, + "step": 19636 + }, + { + "epoch": 0.58, + "learning_rate": 4.004258553045795e-06, + "loss": 0.9161, + "step": 19637 + }, + { + "epoch": 0.58, + "learning_rate": 4.003792319281699e-06, + "loss": 0.9151, + "step": 19638 + }, + { + "epoch": 0.58, + "learning_rate": 4.003326094537481e-06, + "loss": 0.7925, + "step": 19639 + }, + { + "epoch": 0.58, + "learning_rate": 4.002859878817364e-06, + "loss": 0.8681, + "step": 19640 + }, + { + "epoch": 0.58, + "learning_rate": 4.002393672125568e-06, + "loss": 0.8449, + "step": 19641 + }, + { + "epoch": 0.58, + "learning_rate": 4.001927474466316e-06, + "loss": 0.5054, + "step": 19642 + }, + { + "epoch": 0.58, + "learning_rate": 4.001461285843826e-06, + "loss": 0.7966, + "step": 19643 + }, + { + "epoch": 0.58, + "learning_rate": 4.000995106262322e-06, + "loss": 0.6588, + "step": 19644 + }, + { + "epoch": 0.58, + "learning_rate": 4.000528935726024e-06, + "loss": 0.7401, + "step": 19645 + }, + { + "epoch": 0.58, + "learning_rate": 4.000062774239152e-06, + "loss": 0.8628, + "step": 19646 + }, + { + "epoch": 0.58, + "learning_rate": 3.999596621805928e-06, + "loss": 0.7926, + "step": 19647 + }, + { + "epoch": 0.58, + "learning_rate": 3.999130478430572e-06, + "loss": 0.5715, + "step": 19648 + }, + { + "epoch": 0.58, + "learning_rate": 3.998664344117304e-06, + "loss": 0.7899, + "step": 19649 + }, + { + "epoch": 0.58, + "learning_rate": 3.998198218870345e-06, + "loss": 0.6758, + "step": 19650 + }, + { + "epoch": 0.58, + "learning_rate": 3.997732102693915e-06, + "loss": 0.3779, + "step": 19651 + }, + { + "epoch": 0.58, + "learning_rate": 3.9972659955922355e-06, + "loss": 0.7649, + "step": 19652 + }, + { + "epoch": 0.58, + "learning_rate": 3.996799897569524e-06, + "loss": 0.9061, + "step": 19653 + }, + { + "epoch": 0.58, + "learning_rate": 3.9963338086300045e-06, + "loss": 0.8706, + "step": 19654 + }, + { + "epoch": 0.58, + "learning_rate": 3.995867728777895e-06, + "loss": 0.6761, + "step": 19655 + }, + { + "epoch": 0.58, + "learning_rate": 3.995401658017415e-06, + "loss": 0.6082, + "step": 19656 + }, + { + "epoch": 0.58, + "learning_rate": 3.9949355963527854e-06, + "loss": 0.6691, + "step": 19657 + }, + { + "epoch": 0.58, + "learning_rate": 3.994469543788225e-06, + "loss": 0.527, + "step": 19658 + }, + { + "epoch": 0.58, + "learning_rate": 3.994003500327955e-06, + "loss": 0.8783, + "step": 19659 + }, + { + "epoch": 0.58, + "learning_rate": 3.9935374659761934e-06, + "loss": 0.8866, + "step": 19660 + }, + { + "epoch": 0.58, + "learning_rate": 3.9930714407371614e-06, + "loss": 0.6787, + "step": 19661 + }, + { + "epoch": 0.58, + "learning_rate": 3.992605424615077e-06, + "loss": 0.7441, + "step": 19662 + }, + { + "epoch": 0.58, + "learning_rate": 3.9921394176141595e-06, + "loss": 0.8968, + "step": 19663 + }, + { + "epoch": 0.58, + "learning_rate": 3.99167341973863e-06, + "loss": 0.7405, + "step": 19664 + }, + { + "epoch": 0.58, + "learning_rate": 3.9912074309927074e-06, + "loss": 0.7998, + "step": 19665 + }, + { + "epoch": 0.58, + "learning_rate": 3.9907414513806095e-06, + "loss": 0.7482, + "step": 19666 + }, + { + "epoch": 0.58, + "learning_rate": 3.990275480906557e-06, + "loss": 1.0605, + "step": 19667 + }, + { + "epoch": 0.58, + "learning_rate": 3.989809519574767e-06, + "loss": 0.647, + "step": 19668 + }, + { + "epoch": 0.58, + "learning_rate": 3.98934356738946e-06, + "loss": 0.7388, + "step": 19669 + }, + { + "epoch": 0.58, + "learning_rate": 3.9888776243548545e-06, + "loss": 0.6152, + "step": 19670 + }, + { + "epoch": 0.58, + "learning_rate": 3.988411690475169e-06, + "loss": 0.6822, + "step": 19671 + }, + { + "epoch": 0.58, + "learning_rate": 3.987945765754622e-06, + "loss": 0.7215, + "step": 19672 + }, + { + "epoch": 0.58, + "learning_rate": 3.987479850197431e-06, + "loss": 0.593, + "step": 19673 + }, + { + "epoch": 0.58, + "learning_rate": 3.987013943807817e-06, + "loss": 0.6234, + "step": 19674 + }, + { + "epoch": 0.58, + "learning_rate": 3.986548046589997e-06, + "loss": 0.4034, + "step": 19675 + }, + { + "epoch": 0.58, + "learning_rate": 3.98608215854819e-06, + "loss": 0.6767, + "step": 19676 + }, + { + "epoch": 0.58, + "learning_rate": 3.985616279686614e-06, + "loss": 0.8095, + "step": 19677 + }, + { + "epoch": 0.58, + "learning_rate": 3.985150410009486e-06, + "loss": 1.0172, + "step": 19678 + }, + { + "epoch": 0.58, + "learning_rate": 3.984684549521025e-06, + "loss": 0.6274, + "step": 19679 + }, + { + "epoch": 0.58, + "learning_rate": 3.98421869822545e-06, + "loss": 0.6351, + "step": 19680 + }, + { + "epoch": 0.58, + "learning_rate": 3.983752856126977e-06, + "loss": 0.5012, + "step": 19681 + }, + { + "epoch": 0.58, + "learning_rate": 3.983287023229825e-06, + "loss": 0.642, + "step": 19682 + }, + { + "epoch": 0.58, + "learning_rate": 3.98282119953821e-06, + "loss": 0.6265, + "step": 19683 + }, + { + "epoch": 0.58, + "learning_rate": 3.9823553850563536e-06, + "loss": 0.7221, + "step": 19684 + }, + { + "epoch": 0.58, + "learning_rate": 3.98188957978847e-06, + "loss": 0.834, + "step": 19685 + }, + { + "epoch": 0.58, + "learning_rate": 3.981423783738778e-06, + "loss": 0.9659, + "step": 19686 + }, + { + "epoch": 0.58, + "learning_rate": 3.980957996911494e-06, + "loss": 0.6485, + "step": 19687 + }, + { + "epoch": 0.58, + "learning_rate": 3.9804922193108375e-06, + "loss": 0.8381, + "step": 19688 + }, + { + "epoch": 0.58, + "learning_rate": 3.980026450941024e-06, + "loss": 0.517, + "step": 19689 + }, + { + "epoch": 0.58, + "learning_rate": 3.979560691806269e-06, + "loss": 0.8705, + "step": 19690 + }, + { + "epoch": 0.58, + "learning_rate": 3.979094941910794e-06, + "loss": 1.1167, + "step": 19691 + }, + { + "epoch": 0.58, + "learning_rate": 3.978629201258812e-06, + "loss": 0.6351, + "step": 19692 + }, + { + "epoch": 0.58, + "learning_rate": 3.978163469854541e-06, + "loss": 0.6885, + "step": 19693 + }, + { + "epoch": 0.58, + "learning_rate": 3.977697747702199e-06, + "loss": 0.9788, + "step": 19694 + }, + { + "epoch": 0.58, + "learning_rate": 3.977232034806002e-06, + "loss": 0.6808, + "step": 19695 + }, + { + "epoch": 0.58, + "learning_rate": 3.976766331170168e-06, + "loss": 0.8085, + "step": 19696 + }, + { + "epoch": 0.58, + "learning_rate": 3.976300636798911e-06, + "loss": 0.693, + "step": 19697 + }, + { + "epoch": 0.58, + "learning_rate": 3.975834951696449e-06, + "loss": 0.8394, + "step": 19698 + }, + { + "epoch": 0.58, + "learning_rate": 3.975369275866999e-06, + "loss": 0.6569, + "step": 19699 + }, + { + "epoch": 0.58, + "learning_rate": 3.974903609314775e-06, + "loss": 0.8511, + "step": 19700 + }, + { + "epoch": 0.58, + "learning_rate": 3.974437952043996e-06, + "loss": 0.751, + "step": 19701 + }, + { + "epoch": 0.58, + "learning_rate": 3.973972304058874e-06, + "loss": 0.8936, + "step": 19702 + }, + { + "epoch": 0.58, + "learning_rate": 3.9735066653636305e-06, + "loss": 0.7986, + "step": 19703 + }, + { + "epoch": 0.58, + "learning_rate": 3.973041035962479e-06, + "loss": 0.8289, + "step": 19704 + }, + { + "epoch": 0.58, + "learning_rate": 3.972575415859635e-06, + "loss": 0.8257, + "step": 19705 + }, + { + "epoch": 0.58, + "learning_rate": 3.9721098050593155e-06, + "loss": 0.8831, + "step": 19706 + }, + { + "epoch": 0.58, + "learning_rate": 3.971644203565736e-06, + "loss": 0.677, + "step": 19707 + }, + { + "epoch": 0.58, + "learning_rate": 3.971178611383109e-06, + "loss": 0.7712, + "step": 19708 + }, + { + "epoch": 0.58, + "learning_rate": 3.970713028515655e-06, + "loss": 0.8406, + "step": 19709 + }, + { + "epoch": 0.58, + "learning_rate": 3.970247454967587e-06, + "loss": 0.8181, + "step": 19710 + }, + { + "epoch": 0.58, + "learning_rate": 3.9697818907431205e-06, + "loss": 0.5298, + "step": 19711 + }, + { + "epoch": 0.58, + "learning_rate": 3.96931633584647e-06, + "loss": 0.509, + "step": 19712 + }, + { + "epoch": 0.58, + "learning_rate": 3.968850790281852e-06, + "loss": 0.4292, + "step": 19713 + }, + { + "epoch": 0.58, + "learning_rate": 3.968385254053481e-06, + "loss": 0.8604, + "step": 19714 + }, + { + "epoch": 0.58, + "learning_rate": 3.967919727165573e-06, + "loss": 0.6515, + "step": 19715 + }, + { + "epoch": 0.58, + "learning_rate": 3.967454209622342e-06, + "loss": 0.4666, + "step": 19716 + }, + { + "epoch": 0.58, + "learning_rate": 3.966988701428004e-06, + "loss": 0.9576, + "step": 19717 + }, + { + "epoch": 0.58, + "learning_rate": 3.966523202586772e-06, + "loss": 0.7063, + "step": 19718 + }, + { + "epoch": 0.58, + "learning_rate": 3.966057713102863e-06, + "loss": 0.5695, + "step": 19719 + }, + { + "epoch": 0.58, + "learning_rate": 3.965592232980489e-06, + "loss": 0.825, + "step": 19720 + }, + { + "epoch": 0.58, + "learning_rate": 3.965126762223867e-06, + "loss": 0.6538, + "step": 19721 + }, + { + "epoch": 0.58, + "learning_rate": 3.964661300837208e-06, + "loss": 1.0854, + "step": 19722 + }, + { + "epoch": 0.58, + "learning_rate": 3.964195848824731e-06, + "loss": 0.9114, + "step": 19723 + }, + { + "epoch": 0.58, + "learning_rate": 3.963730406190648e-06, + "loss": 0.7353, + "step": 19724 + }, + { + "epoch": 0.58, + "learning_rate": 3.963264972939173e-06, + "loss": 0.689, + "step": 19725 + }, + { + "epoch": 0.58, + "learning_rate": 3.9627995490745215e-06, + "loss": 0.792, + "step": 19726 + }, + { + "epoch": 0.58, + "learning_rate": 3.962334134600906e-06, + "loss": 0.6542, + "step": 19727 + }, + { + "epoch": 0.58, + "learning_rate": 3.961868729522541e-06, + "loss": 0.8205, + "step": 19728 + }, + { + "epoch": 0.58, + "learning_rate": 3.961403333843641e-06, + "loss": 0.803, + "step": 19729 + }, + { + "epoch": 0.58, + "learning_rate": 3.960937947568418e-06, + "loss": 0.8675, + "step": 19730 + }, + { + "epoch": 0.58, + "learning_rate": 3.960472570701087e-06, + "loss": 0.8221, + "step": 19731 + }, + { + "epoch": 0.58, + "learning_rate": 3.960007203245862e-06, + "loss": 0.8649, + "step": 19732 + }, + { + "epoch": 0.58, + "learning_rate": 3.959541845206955e-06, + "loss": 0.5956, + "step": 19733 + }, + { + "epoch": 0.58, + "learning_rate": 3.959076496588582e-06, + "loss": 0.9183, + "step": 19734 + }, + { + "epoch": 0.58, + "learning_rate": 3.958611157394954e-06, + "loss": 0.8564, + "step": 19735 + }, + { + "epoch": 0.58, + "learning_rate": 3.9581458276302854e-06, + "loss": 0.6223, + "step": 19736 + }, + { + "epoch": 0.58, + "learning_rate": 3.957680507298789e-06, + "loss": 0.8376, + "step": 19737 + }, + { + "epoch": 0.58, + "learning_rate": 3.957215196404678e-06, + "loss": 0.905, + "step": 19738 + }, + { + "epoch": 0.58, + "learning_rate": 3.956749894952166e-06, + "loss": 0.6664, + "step": 19739 + }, + { + "epoch": 0.58, + "learning_rate": 3.956284602945465e-06, + "loss": 0.6024, + "step": 19740 + }, + { + "epoch": 0.58, + "learning_rate": 3.955819320388788e-06, + "loss": 0.6342, + "step": 19741 + }, + { + "epoch": 0.58, + "learning_rate": 3.955354047286347e-06, + "loss": 0.6379, + "step": 19742 + }, + { + "epoch": 0.58, + "learning_rate": 3.954888783642357e-06, + "loss": 0.6963, + "step": 19743 + }, + { + "epoch": 0.58, + "learning_rate": 3.95442352946103e-06, + "loss": 0.7899, + "step": 19744 + }, + { + "epoch": 0.58, + "learning_rate": 3.953958284746577e-06, + "loss": 0.5107, + "step": 19745 + }, + { + "epoch": 0.58, + "learning_rate": 3.953493049503211e-06, + "loss": 0.5722, + "step": 19746 + }, + { + "epoch": 0.58, + "learning_rate": 3.953027823735146e-06, + "loss": 0.8537, + "step": 19747 + }, + { + "epoch": 0.58, + "learning_rate": 3.952562607446591e-06, + "loss": 0.5958, + "step": 19748 + }, + { + "epoch": 0.58, + "learning_rate": 3.952097400641761e-06, + "loss": 0.6829, + "step": 19749 + }, + { + "epoch": 0.58, + "learning_rate": 3.951632203324867e-06, + "loss": 0.7262, + "step": 19750 + }, + { + "epoch": 0.58, + "learning_rate": 3.951167015500121e-06, + "loss": 0.5266, + "step": 19751 + }, + { + "epoch": 0.58, + "learning_rate": 3.950701837171733e-06, + "loss": 0.8831, + "step": 19752 + }, + { + "epoch": 0.58, + "learning_rate": 3.9502366683439194e-06, + "loss": 0.9808, + "step": 19753 + }, + { + "epoch": 0.58, + "learning_rate": 3.949771509020888e-06, + "loss": 0.4638, + "step": 19754 + }, + { + "epoch": 0.58, + "learning_rate": 3.949306359206853e-06, + "loss": 0.5749, + "step": 19755 + }, + { + "epoch": 0.58, + "learning_rate": 3.948841218906026e-06, + "loss": 0.7041, + "step": 19756 + }, + { + "epoch": 0.58, + "learning_rate": 3.9483760881226155e-06, + "loss": 0.9592, + "step": 19757 + }, + { + "epoch": 0.58, + "learning_rate": 3.9479109668608355e-06, + "loss": 0.4924, + "step": 19758 + }, + { + "epoch": 0.58, + "learning_rate": 3.947445855124896e-06, + "loss": 0.5904, + "step": 19759 + }, + { + "epoch": 0.58, + "learning_rate": 3.946980752919009e-06, + "loss": 0.6792, + "step": 19760 + }, + { + "epoch": 0.58, + "learning_rate": 3.9465156602473835e-06, + "loss": 0.7265, + "step": 19761 + }, + { + "epoch": 0.58, + "learning_rate": 3.946050577114233e-06, + "loss": 1.02, + "step": 19762 + }, + { + "epoch": 0.58, + "learning_rate": 3.945585503523769e-06, + "loss": 0.5883, + "step": 19763 + }, + { + "epoch": 0.58, + "learning_rate": 3.945120439480201e-06, + "loss": 0.6849, + "step": 19764 + }, + { + "epoch": 0.58, + "learning_rate": 3.94465538498774e-06, + "loss": 0.7063, + "step": 19765 + }, + { + "epoch": 0.58, + "learning_rate": 3.944190340050596e-06, + "loss": 0.637, + "step": 19766 + }, + { + "epoch": 0.58, + "learning_rate": 3.9437253046729816e-06, + "loss": 0.6709, + "step": 19767 + }, + { + "epoch": 0.58, + "learning_rate": 3.943260278859105e-06, + "loss": 0.8471, + "step": 19768 + }, + { + "epoch": 0.58, + "learning_rate": 3.942795262613178e-06, + "loss": 0.6879, + "step": 19769 + }, + { + "epoch": 0.58, + "learning_rate": 3.942330255939411e-06, + "loss": 0.8543, + "step": 19770 + }, + { + "epoch": 0.58, + "learning_rate": 3.941865258842011e-06, + "loss": 0.8793, + "step": 19771 + }, + { + "epoch": 0.58, + "learning_rate": 3.9414002713251945e-06, + "loss": 0.7179, + "step": 19772 + }, + { + "epoch": 0.58, + "learning_rate": 3.940935293393168e-06, + "loss": 0.7044, + "step": 19773 + }, + { + "epoch": 0.58, + "learning_rate": 3.940470325050141e-06, + "loss": 0.903, + "step": 19774 + }, + { + "epoch": 0.58, + "learning_rate": 3.940005366300325e-06, + "loss": 0.6842, + "step": 19775 + }, + { + "epoch": 0.58, + "learning_rate": 3.939540417147928e-06, + "loss": 0.5801, + "step": 19776 + }, + { + "epoch": 0.58, + "learning_rate": 3.939075477597161e-06, + "loss": 0.6477, + "step": 19777 + }, + { + "epoch": 0.58, + "learning_rate": 3.938610547652233e-06, + "loss": 0.6381, + "step": 19778 + }, + { + "epoch": 0.58, + "learning_rate": 3.9381456273173545e-06, + "loss": 0.7066, + "step": 19779 + }, + { + "epoch": 0.58, + "learning_rate": 3.937680716596734e-06, + "loss": 0.6678, + "step": 19780 + }, + { + "epoch": 0.58, + "learning_rate": 3.937215815494581e-06, + "loss": 0.7735, + "step": 19781 + }, + { + "epoch": 0.58, + "learning_rate": 3.936750924015107e-06, + "loss": 1.0037, + "step": 19782 + }, + { + "epoch": 0.58, + "learning_rate": 3.936286042162518e-06, + "loss": 0.7711, + "step": 19783 + }, + { + "epoch": 0.58, + "learning_rate": 3.9358211699410245e-06, + "loss": 0.6138, + "step": 19784 + }, + { + "epoch": 0.58, + "learning_rate": 3.935356307354836e-06, + "loss": 0.9253, + "step": 19785 + }, + { + "epoch": 0.58, + "learning_rate": 3.934891454408161e-06, + "loss": 0.8361, + "step": 19786 + }, + { + "epoch": 0.58, + "learning_rate": 3.934426611105209e-06, + "loss": 0.8683, + "step": 19787 + }, + { + "epoch": 0.58, + "learning_rate": 3.933961777450188e-06, + "loss": 0.4876, + "step": 19788 + }, + { + "epoch": 0.58, + "learning_rate": 3.933496953447307e-06, + "loss": 0.903, + "step": 19789 + }, + { + "epoch": 0.58, + "learning_rate": 3.933032139100774e-06, + "loss": 0.7776, + "step": 19790 + }, + { + "epoch": 0.58, + "learning_rate": 3.932567334414796e-06, + "loss": 0.8471, + "step": 19791 + }, + { + "epoch": 0.58, + "learning_rate": 3.9321025393935866e-06, + "loss": 0.5835, + "step": 19792 + }, + { + "epoch": 0.58, + "learning_rate": 3.93163775404135e-06, + "loss": 0.7756, + "step": 19793 + }, + { + "epoch": 0.58, + "learning_rate": 3.931172978362296e-06, + "loss": 0.5884, + "step": 19794 + }, + { + "epoch": 0.58, + "learning_rate": 3.930708212360632e-06, + "loss": 0.4056, + "step": 19795 + }, + { + "epoch": 0.58, + "learning_rate": 3.930243456040566e-06, + "loss": 0.7394, + "step": 19796 + }, + { + "epoch": 0.58, + "learning_rate": 3.929778709406308e-06, + "loss": 0.6122, + "step": 19797 + }, + { + "epoch": 0.58, + "learning_rate": 3.929313972462063e-06, + "loss": 0.6791, + "step": 19798 + }, + { + "epoch": 0.58, + "learning_rate": 3.9288492452120405e-06, + "loss": 0.5377, + "step": 19799 + }, + { + "epoch": 0.58, + "learning_rate": 3.928384527660448e-06, + "loss": 0.7158, + "step": 19800 + }, + { + "epoch": 0.58, + "learning_rate": 3.927919819811492e-06, + "loss": 0.7017, + "step": 19801 + }, + { + "epoch": 0.58, + "learning_rate": 3.927455121669383e-06, + "loss": 0.7275, + "step": 19802 + }, + { + "epoch": 0.58, + "learning_rate": 3.926990433238326e-06, + "loss": 0.5695, + "step": 19803 + }, + { + "epoch": 0.58, + "learning_rate": 3.926525754522529e-06, + "loss": 0.6786, + "step": 19804 + }, + { + "epoch": 0.58, + "learning_rate": 3.926061085526199e-06, + "loss": 0.6062, + "step": 19805 + }, + { + "epoch": 0.58, + "learning_rate": 3.925596426253544e-06, + "loss": 1.0116, + "step": 19806 + }, + { + "epoch": 0.58, + "learning_rate": 3.925131776708769e-06, + "loss": 0.7575, + "step": 19807 + }, + { + "epoch": 0.58, + "learning_rate": 3.924667136896084e-06, + "loss": 0.6729, + "step": 19808 + }, + { + "epoch": 0.58, + "learning_rate": 3.924202506819695e-06, + "loss": 0.6856, + "step": 19809 + }, + { + "epoch": 0.58, + "learning_rate": 3.923737886483808e-06, + "loss": 0.5103, + "step": 19810 + }, + { + "epoch": 0.58, + "learning_rate": 3.923273275892629e-06, + "loss": 0.748, + "step": 19811 + }, + { + "epoch": 0.58, + "learning_rate": 3.9228086750503665e-06, + "loss": 0.7263, + "step": 19812 + }, + { + "epoch": 0.58, + "learning_rate": 3.922344083961227e-06, + "loss": 0.7638, + "step": 19813 + }, + { + "epoch": 0.58, + "learning_rate": 3.921879502629417e-06, + "loss": 0.7705, + "step": 19814 + }, + { + "epoch": 0.58, + "learning_rate": 3.921414931059142e-06, + "loss": 0.8641, + "step": 19815 + }, + { + "epoch": 0.58, + "learning_rate": 3.920950369254609e-06, + "loss": 0.6402, + "step": 19816 + }, + { + "epoch": 0.58, + "learning_rate": 3.920485817220024e-06, + "loss": 0.7734, + "step": 19817 + }, + { + "epoch": 0.58, + "learning_rate": 3.920021274959593e-06, + "loss": 0.8271, + "step": 19818 + }, + { + "epoch": 0.58, + "learning_rate": 3.919556742477523e-06, + "loss": 0.6312, + "step": 19819 + }, + { + "epoch": 0.58, + "learning_rate": 3.919092219778019e-06, + "loss": 0.699, + "step": 19820 + }, + { + "epoch": 0.58, + "learning_rate": 3.918627706865285e-06, + "loss": 0.858, + "step": 19821 + }, + { + "epoch": 0.58, + "learning_rate": 3.918163203743531e-06, + "loss": 0.9199, + "step": 19822 + }, + { + "epoch": 0.58, + "learning_rate": 3.917698710416961e-06, + "loss": 0.6553, + "step": 19823 + }, + { + "epoch": 0.58, + "learning_rate": 3.917234226889779e-06, + "loss": 0.7684, + "step": 19824 + }, + { + "epoch": 0.58, + "learning_rate": 3.916769753166193e-06, + "loss": 1.079, + "step": 19825 + }, + { + "epoch": 0.58, + "learning_rate": 3.916305289250407e-06, + "loss": 0.7243, + "step": 19826 + }, + { + "epoch": 0.58, + "learning_rate": 3.915840835146626e-06, + "loss": 0.7564, + "step": 19827 + }, + { + "epoch": 0.58, + "learning_rate": 3.915376390859056e-06, + "loss": 0.6075, + "step": 19828 + }, + { + "epoch": 0.58, + "learning_rate": 3.914911956391903e-06, + "loss": 0.9176, + "step": 19829 + }, + { + "epoch": 0.58, + "learning_rate": 3.914447531749367e-06, + "loss": 0.9559, + "step": 19830 + }, + { + "epoch": 0.58, + "learning_rate": 3.913983116935661e-06, + "loss": 0.7982, + "step": 19831 + }, + { + "epoch": 0.58, + "learning_rate": 3.913518711954985e-06, + "loss": 0.7688, + "step": 19832 + }, + { + "epoch": 0.58, + "learning_rate": 3.913054316811546e-06, + "loss": 0.599, + "step": 19833 + }, + { + "epoch": 0.58, + "learning_rate": 3.912589931509547e-06, + "loss": 0.6706, + "step": 19834 + }, + { + "epoch": 0.58, + "learning_rate": 3.912125556053193e-06, + "loss": 0.6277, + "step": 19835 + }, + { + "epoch": 0.58, + "learning_rate": 3.911661190446689e-06, + "loss": 0.7917, + "step": 19836 + }, + { + "epoch": 0.58, + "learning_rate": 3.911196834694239e-06, + "loss": 0.5622, + "step": 19837 + }, + { + "epoch": 0.58, + "learning_rate": 3.910732488800048e-06, + "loss": 0.6723, + "step": 19838 + }, + { + "epoch": 0.58, + "learning_rate": 3.91026815276832e-06, + "loss": 0.7464, + "step": 19839 + }, + { + "epoch": 0.58, + "learning_rate": 3.909803826603258e-06, + "loss": 0.8394, + "step": 19840 + }, + { + "epoch": 0.58, + "learning_rate": 3.909339510309068e-06, + "loss": 0.7652, + "step": 19841 + }, + { + "epoch": 0.58, + "learning_rate": 3.908875203889954e-06, + "loss": 0.584, + "step": 19842 + }, + { + "epoch": 0.58, + "learning_rate": 3.908410907350118e-06, + "loss": 0.6741, + "step": 19843 + }, + { + "epoch": 0.58, + "learning_rate": 3.907946620693765e-06, + "loss": 0.8749, + "step": 19844 + }, + { + "epoch": 0.58, + "learning_rate": 3.9074823439251e-06, + "loss": 0.7995, + "step": 19845 + }, + { + "epoch": 0.58, + "learning_rate": 3.907018077048325e-06, + "loss": 0.7041, + "step": 19846 + }, + { + "epoch": 0.58, + "learning_rate": 3.906553820067644e-06, + "loss": 0.5509, + "step": 19847 + }, + { + "epoch": 0.58, + "learning_rate": 3.9060895729872606e-06, + "loss": 0.6999, + "step": 19848 + }, + { + "epoch": 0.58, + "learning_rate": 3.9056253358113776e-06, + "loss": 0.6096, + "step": 19849 + }, + { + "epoch": 0.58, + "learning_rate": 3.905161108544197e-06, + "loss": 1.0075, + "step": 19850 + }, + { + "epoch": 0.58, + "learning_rate": 3.904696891189926e-06, + "loss": 0.7681, + "step": 19851 + }, + { + "epoch": 0.58, + "learning_rate": 3.904232683752766e-06, + "loss": 0.7297, + "step": 19852 + }, + { + "epoch": 0.58, + "learning_rate": 3.9037684862369185e-06, + "loss": 0.8682, + "step": 19853 + }, + { + "epoch": 0.58, + "learning_rate": 3.903304298646587e-06, + "loss": 0.5726, + "step": 19854 + }, + { + "epoch": 0.58, + "learning_rate": 3.902840120985977e-06, + "loss": 0.5757, + "step": 19855 + }, + { + "epoch": 0.58, + "learning_rate": 3.902375953259287e-06, + "loss": 0.9787, + "step": 19856 + }, + { + "epoch": 0.58, + "learning_rate": 3.901911795470723e-06, + "loss": 0.5544, + "step": 19857 + }, + { + "epoch": 0.58, + "learning_rate": 3.901447647624487e-06, + "loss": 0.8863, + "step": 19858 + }, + { + "epoch": 0.58, + "learning_rate": 3.90098350972478e-06, + "loss": 1.0768, + "step": 19859 + }, + { + "epoch": 0.58, + "learning_rate": 3.9005193817758035e-06, + "loss": 0.4906, + "step": 19860 + }, + { + "epoch": 0.58, + "learning_rate": 3.900055263781763e-06, + "loss": 0.8566, + "step": 19861 + }, + { + "epoch": 0.58, + "learning_rate": 3.89959115574686e-06, + "loss": 0.7934, + "step": 19862 + }, + { + "epoch": 0.58, + "learning_rate": 3.899127057675296e-06, + "loss": 0.6743, + "step": 19863 + }, + { + "epoch": 0.58, + "learning_rate": 3.898662969571273e-06, + "loss": 0.8884, + "step": 19864 + }, + { + "epoch": 0.58, + "learning_rate": 3.898198891438992e-06, + "loss": 0.6442, + "step": 19865 + }, + { + "epoch": 0.58, + "learning_rate": 3.897734823282657e-06, + "loss": 0.7319, + "step": 19866 + }, + { + "epoch": 0.58, + "learning_rate": 3.8972707651064675e-06, + "loss": 0.8105, + "step": 19867 + }, + { + "epoch": 0.58, + "learning_rate": 3.896806716914627e-06, + "loss": 0.7638, + "step": 19868 + }, + { + "epoch": 0.58, + "learning_rate": 3.896342678711337e-06, + "loss": 0.7061, + "step": 19869 + }, + { + "epoch": 0.58, + "learning_rate": 3.895878650500795e-06, + "loss": 0.8876, + "step": 19870 + }, + { + "epoch": 0.58, + "learning_rate": 3.895414632287209e-06, + "loss": 0.666, + "step": 19871 + }, + { + "epoch": 0.58, + "learning_rate": 3.894950624074776e-06, + "loss": 0.6907, + "step": 19872 + }, + { + "epoch": 0.58, + "learning_rate": 3.894486625867699e-06, + "loss": 0.8298, + "step": 19873 + }, + { + "epoch": 0.58, + "learning_rate": 3.8940226376701786e-06, + "loss": 0.5518, + "step": 19874 + }, + { + "epoch": 0.58, + "learning_rate": 3.893558659486415e-06, + "loss": 0.762, + "step": 19875 + }, + { + "epoch": 0.58, + "learning_rate": 3.89309469132061e-06, + "loss": 0.4844, + "step": 19876 + }, + { + "epoch": 0.58, + "learning_rate": 3.892630733176965e-06, + "loss": 0.6607, + "step": 19877 + }, + { + "epoch": 0.58, + "learning_rate": 3.89216678505968e-06, + "loss": 0.5034, + "step": 19878 + }, + { + "epoch": 0.58, + "learning_rate": 3.891702846972955e-06, + "loss": 0.8648, + "step": 19879 + }, + { + "epoch": 0.58, + "learning_rate": 3.891238918920992e-06, + "loss": 0.7015, + "step": 19880 + }, + { + "epoch": 0.58, + "learning_rate": 3.8907750009079906e-06, + "loss": 0.6414, + "step": 19881 + }, + { + "epoch": 0.58, + "learning_rate": 3.8903110929381515e-06, + "loss": 0.8304, + "step": 19882 + }, + { + "epoch": 0.58, + "learning_rate": 3.889847195015676e-06, + "loss": 0.5032, + "step": 19883 + }, + { + "epoch": 0.58, + "learning_rate": 3.889383307144762e-06, + "loss": 0.5369, + "step": 19884 + }, + { + "epoch": 0.58, + "learning_rate": 3.888919429329612e-06, + "loss": 0.7267, + "step": 19885 + }, + { + "epoch": 0.58, + "learning_rate": 3.888455561574425e-06, + "loss": 0.7308, + "step": 19886 + }, + { + "epoch": 0.58, + "learning_rate": 3.887991703883401e-06, + "loss": 0.8096, + "step": 19887 + }, + { + "epoch": 0.58, + "learning_rate": 3.88752785626074e-06, + "loss": 0.7432, + "step": 19888 + }, + { + "epoch": 0.58, + "learning_rate": 3.887064018710639e-06, + "loss": 0.643, + "step": 19889 + }, + { + "epoch": 0.58, + "learning_rate": 3.886600191237303e-06, + "loss": 0.7271, + "step": 19890 + }, + { + "epoch": 0.58, + "learning_rate": 3.8861363738449286e-06, + "loss": 0.7883, + "step": 19891 + }, + { + "epoch": 0.58, + "learning_rate": 3.885672566537716e-06, + "loss": 0.7258, + "step": 19892 + }, + { + "epoch": 0.58, + "learning_rate": 3.885208769319864e-06, + "loss": 0.7232, + "step": 19893 + }, + { + "epoch": 0.58, + "learning_rate": 3.8847449821955725e-06, + "loss": 0.7075, + "step": 19894 + }, + { + "epoch": 0.58, + "learning_rate": 3.8842812051690395e-06, + "loss": 0.6538, + "step": 19895 + }, + { + "epoch": 0.58, + "learning_rate": 3.883817438244466e-06, + "loss": 0.659, + "step": 19896 + }, + { + "epoch": 0.58, + "learning_rate": 3.88335368142605e-06, + "loss": 0.5954, + "step": 19897 + }, + { + "epoch": 0.58, + "learning_rate": 3.882889934717991e-06, + "loss": 0.8239, + "step": 19898 + }, + { + "epoch": 0.58, + "learning_rate": 3.882426198124486e-06, + "loss": 0.6999, + "step": 19899 + }, + { + "epoch": 0.58, + "learning_rate": 3.8819624716497354e-06, + "loss": 0.694, + "step": 19900 + }, + { + "epoch": 0.58, + "learning_rate": 3.881498755297939e-06, + "loss": 0.667, + "step": 19901 + }, + { + "epoch": 0.58, + "learning_rate": 3.881035049073293e-06, + "loss": 0.8786, + "step": 19902 + }, + { + "epoch": 0.58, + "learning_rate": 3.880571352979997e-06, + "loss": 0.5601, + "step": 19903 + }, + { + "epoch": 0.58, + "learning_rate": 3.880107667022249e-06, + "loss": 0.5409, + "step": 19904 + }, + { + "epoch": 0.58, + "learning_rate": 3.8796439912042486e-06, + "loss": 0.9789, + "step": 19905 + }, + { + "epoch": 0.58, + "learning_rate": 3.879180325530193e-06, + "loss": 0.6964, + "step": 19906 + }, + { + "epoch": 0.58, + "learning_rate": 3.87871667000428e-06, + "loss": 0.582, + "step": 19907 + }, + { + "epoch": 0.58, + "learning_rate": 3.878253024630709e-06, + "loss": 0.6253, + "step": 19908 + }, + { + "epoch": 0.58, + "learning_rate": 3.877789389413674e-06, + "loss": 1.0465, + "step": 19909 + }, + { + "epoch": 0.58, + "learning_rate": 3.8773257643573784e-06, + "loss": 0.3542, + "step": 19910 + }, + { + "epoch": 0.58, + "learning_rate": 3.876862149466017e-06, + "loss": 0.6773, + "step": 19911 + }, + { + "epoch": 0.58, + "learning_rate": 3.876398544743788e-06, + "loss": 0.8382, + "step": 19912 + }, + { + "epoch": 0.59, + "learning_rate": 3.875934950194888e-06, + "loss": 0.7772, + "step": 19913 + }, + { + "epoch": 0.59, + "learning_rate": 3.875471365823517e-06, + "loss": 0.638, + "step": 19914 + }, + { + "epoch": 0.59, + "learning_rate": 3.8750077916338705e-06, + "loss": 0.6398, + "step": 19915 + }, + { + "epoch": 0.59, + "learning_rate": 3.874544227630145e-06, + "loss": 0.8832, + "step": 19916 + }, + { + "epoch": 0.59, + "learning_rate": 3.874080673816539e-06, + "loss": 0.6901, + "step": 19917 + }, + { + "epoch": 0.59, + "learning_rate": 3.87361713019725e-06, + "loss": 0.8564, + "step": 19918 + }, + { + "epoch": 0.59, + "learning_rate": 3.873153596776473e-06, + "loss": 0.8098, + "step": 19919 + }, + { + "epoch": 0.59, + "learning_rate": 3.872690073558407e-06, + "loss": 0.788, + "step": 19920 + }, + { + "epoch": 0.59, + "learning_rate": 3.872226560547248e-06, + "loss": 0.7775, + "step": 19921 + }, + { + "epoch": 0.59, + "learning_rate": 3.871763057747194e-06, + "loss": 0.9452, + "step": 19922 + }, + { + "epoch": 0.59, + "learning_rate": 3.87129956516244e-06, + "loss": 0.9895, + "step": 19923 + }, + { + "epoch": 0.59, + "learning_rate": 3.870836082797184e-06, + "loss": 0.8644, + "step": 19924 + }, + { + "epoch": 0.59, + "learning_rate": 3.87037261065562e-06, + "loss": 0.5459, + "step": 19925 + }, + { + "epoch": 0.59, + "learning_rate": 3.869909148741946e-06, + "loss": 0.6857, + "step": 19926 + }, + { + "epoch": 0.59, + "learning_rate": 3.869445697060359e-06, + "loss": 0.8146, + "step": 19927 + }, + { + "epoch": 0.59, + "learning_rate": 3.868982255615055e-06, + "loss": 0.8337, + "step": 19928 + }, + { + "epoch": 0.59, + "learning_rate": 3.8685188244102265e-06, + "loss": 0.6175, + "step": 19929 + }, + { + "epoch": 0.59, + "learning_rate": 3.868055403450075e-06, + "loss": 0.6224, + "step": 19930 + }, + { + "epoch": 0.59, + "learning_rate": 3.867591992738794e-06, + "loss": 0.739, + "step": 19931 + }, + { + "epoch": 0.59, + "learning_rate": 3.867128592280579e-06, + "loss": 0.7127, + "step": 19932 + }, + { + "epoch": 0.59, + "learning_rate": 3.8666652020796265e-06, + "loss": 0.7149, + "step": 19933 + }, + { + "epoch": 0.59, + "learning_rate": 3.866201822140131e-06, + "loss": 0.8045, + "step": 19934 + }, + { + "epoch": 0.59, + "learning_rate": 3.865738452466289e-06, + "loss": 0.904, + "step": 19935 + }, + { + "epoch": 0.59, + "learning_rate": 3.865275093062296e-06, + "loss": 0.7793, + "step": 19936 + }, + { + "epoch": 0.59, + "learning_rate": 3.864811743932346e-06, + "loss": 0.4597, + "step": 19937 + }, + { + "epoch": 0.59, + "learning_rate": 3.864348405080636e-06, + "loss": 0.8229, + "step": 19938 + }, + { + "epoch": 0.59, + "learning_rate": 3.86388507651136e-06, + "loss": 0.6407, + "step": 19939 + }, + { + "epoch": 0.59, + "learning_rate": 3.863421758228714e-06, + "loss": 0.492, + "step": 19940 + }, + { + "epoch": 0.59, + "learning_rate": 3.862958450236892e-06, + "loss": 0.6344, + "step": 19941 + }, + { + "epoch": 0.59, + "learning_rate": 3.8624951525400894e-06, + "loss": 0.7301, + "step": 19942 + }, + { + "epoch": 0.59, + "learning_rate": 3.862031865142502e-06, + "loss": 0.9346, + "step": 19943 + }, + { + "epoch": 0.59, + "learning_rate": 3.861568588048322e-06, + "loss": 0.6621, + "step": 19944 + }, + { + "epoch": 0.59, + "learning_rate": 3.861105321261747e-06, + "loss": 0.7383, + "step": 19945 + }, + { + "epoch": 0.59, + "learning_rate": 3.860642064786968e-06, + "loss": 0.6295, + "step": 19946 + }, + { + "epoch": 0.59, + "learning_rate": 3.860178818628183e-06, + "loss": 0.7512, + "step": 19947 + }, + { + "epoch": 0.59, + "learning_rate": 3.859715582789585e-06, + "loss": 0.7797, + "step": 19948 + }, + { + "epoch": 0.59, + "learning_rate": 3.859252357275365e-06, + "loss": 0.6959, + "step": 19949 + }, + { + "epoch": 0.59, + "learning_rate": 3.858789142089723e-06, + "loss": 1.1574, + "step": 19950 + }, + { + "epoch": 0.59, + "learning_rate": 3.858325937236849e-06, + "loss": 0.6944, + "step": 19951 + }, + { + "epoch": 0.59, + "learning_rate": 3.857862742720939e-06, + "loss": 0.54, + "step": 19952 + }, + { + "epoch": 0.59, + "learning_rate": 3.857399558546186e-06, + "loss": 0.7819, + "step": 19953 + }, + { + "epoch": 0.59, + "learning_rate": 3.856936384716784e-06, + "loss": 0.8823, + "step": 19954 + }, + { + "epoch": 0.59, + "learning_rate": 3.856473221236926e-06, + "loss": 0.6046, + "step": 19955 + }, + { + "epoch": 0.59, + "learning_rate": 3.856010068110806e-06, + "loss": 0.508, + "step": 19956 + }, + { + "epoch": 0.59, + "learning_rate": 3.855546925342618e-06, + "loss": 0.7499, + "step": 19957 + }, + { + "epoch": 0.59, + "learning_rate": 3.8550837929365535e-06, + "loss": 0.7385, + "step": 19958 + }, + { + "epoch": 0.59, + "learning_rate": 3.854620670896808e-06, + "loss": 0.8773, + "step": 19959 + }, + { + "epoch": 0.59, + "learning_rate": 3.854157559227575e-06, + "loss": 0.9028, + "step": 19960 + }, + { + "epoch": 0.59, + "learning_rate": 3.8536944579330455e-06, + "loss": 0.8992, + "step": 19961 + }, + { + "epoch": 0.59, + "learning_rate": 3.853231367017414e-06, + "loss": 0.8616, + "step": 19962 + }, + { + "epoch": 0.59, + "learning_rate": 3.852768286484872e-06, + "loss": 0.8757, + "step": 19963 + }, + { + "epoch": 0.59, + "learning_rate": 3.852305216339614e-06, + "loss": 0.7307, + "step": 19964 + }, + { + "epoch": 0.59, + "learning_rate": 3.851842156585833e-06, + "loss": 0.8251, + "step": 19965 + }, + { + "epoch": 0.59, + "learning_rate": 3.8513791072277195e-06, + "loss": 0.8396, + "step": 19966 + }, + { + "epoch": 0.59, + "learning_rate": 3.8509160682694675e-06, + "loss": 0.7917, + "step": 19967 + }, + { + "epoch": 0.59, + "learning_rate": 3.850453039715268e-06, + "loss": 0.7709, + "step": 19968 + }, + { + "epoch": 0.59, + "learning_rate": 3.849990021569315e-06, + "loss": 0.6941, + "step": 19969 + }, + { + "epoch": 0.59, + "learning_rate": 3.849527013835802e-06, + "loss": 0.6227, + "step": 19970 + }, + { + "epoch": 0.59, + "learning_rate": 3.849064016518919e-06, + "loss": 0.5473, + "step": 19971 + }, + { + "epoch": 0.59, + "learning_rate": 3.848601029622858e-06, + "loss": 0.8861, + "step": 19972 + }, + { + "epoch": 0.59, + "learning_rate": 3.848138053151812e-06, + "loss": 0.732, + "step": 19973 + }, + { + "epoch": 0.59, + "learning_rate": 3.847675087109972e-06, + "loss": 0.7093, + "step": 19974 + }, + { + "epoch": 0.59, + "learning_rate": 3.84721213150153e-06, + "loss": 0.588, + "step": 19975 + }, + { + "epoch": 0.59, + "learning_rate": 3.846749186330679e-06, + "loss": 0.8944, + "step": 19976 + }, + { + "epoch": 0.59, + "learning_rate": 3.8462862516016095e-06, + "loss": 0.7546, + "step": 19977 + }, + { + "epoch": 0.59, + "learning_rate": 3.845823327318511e-06, + "loss": 0.757, + "step": 19978 + }, + { + "epoch": 0.59, + "learning_rate": 3.8453604134855785e-06, + "loss": 0.654, + "step": 19979 + }, + { + "epoch": 0.59, + "learning_rate": 3.844897510107002e-06, + "loss": 0.8134, + "step": 19980 + }, + { + "epoch": 0.59, + "learning_rate": 3.844434617186972e-06, + "loss": 0.7568, + "step": 19981 + }, + { + "epoch": 0.59, + "learning_rate": 3.843971734729681e-06, + "loss": 1.1673, + "step": 19982 + }, + { + "epoch": 0.59, + "learning_rate": 3.843508862739318e-06, + "loss": 0.8761, + "step": 19983 + }, + { + "epoch": 0.59, + "learning_rate": 3.843046001220077e-06, + "loss": 0.7072, + "step": 19984 + }, + { + "epoch": 0.59, + "learning_rate": 3.842583150176146e-06, + "loss": 0.6753, + "step": 19985 + }, + { + "epoch": 0.59, + "learning_rate": 3.842120309611716e-06, + "loss": 0.6431, + "step": 19986 + }, + { + "epoch": 0.59, + "learning_rate": 3.841657479530979e-06, + "loss": 0.8264, + "step": 19987 + }, + { + "epoch": 0.59, + "learning_rate": 3.841194659938123e-06, + "loss": 0.6735, + "step": 19988 + }, + { + "epoch": 0.59, + "learning_rate": 3.840731850837342e-06, + "loss": 0.7316, + "step": 19989 + }, + { + "epoch": 0.59, + "learning_rate": 3.840269052232825e-06, + "loss": 0.5562, + "step": 19990 + }, + { + "epoch": 0.59, + "learning_rate": 3.8398062641287625e-06, + "loss": 0.6542, + "step": 19991 + }, + { + "epoch": 0.59, + "learning_rate": 3.839343486529344e-06, + "loss": 0.7159, + "step": 19992 + }, + { + "epoch": 0.59, + "learning_rate": 3.83888071943876e-06, + "loss": 0.6319, + "step": 19993 + }, + { + "epoch": 0.59, + "learning_rate": 3.8384179628612e-06, + "loss": 0.8046, + "step": 19994 + }, + { + "epoch": 0.59, + "learning_rate": 3.837955216800854e-06, + "loss": 0.7935, + "step": 19995 + }, + { + "epoch": 0.59, + "learning_rate": 3.837492481261913e-06, + "loss": 0.7406, + "step": 19996 + }, + { + "epoch": 0.59, + "learning_rate": 3.837029756248565e-06, + "loss": 0.912, + "step": 19997 + }, + { + "epoch": 0.59, + "learning_rate": 3.8365670417649995e-06, + "loss": 0.7873, + "step": 19998 + }, + { + "epoch": 0.59, + "learning_rate": 3.836104337815408e-06, + "loss": 0.7091, + "step": 19999 + }, + { + "epoch": 0.59, + "learning_rate": 3.835641644403979e-06, + "loss": 0.8545, + "step": 20000 + }, + { + "epoch": 0.59, + "learning_rate": 3.835178961534901e-06, + "loss": 0.8011, + "step": 20001 + }, + { + "epoch": 0.59, + "learning_rate": 3.834716289212365e-06, + "loss": 0.9353, + "step": 20002 + }, + { + "epoch": 0.59, + "learning_rate": 3.834253627440557e-06, + "loss": 0.8834, + "step": 20003 + }, + { + "epoch": 0.59, + "learning_rate": 3.83379097622367e-06, + "loss": 0.7739, + "step": 20004 + }, + { + "epoch": 0.59, + "learning_rate": 3.83332833556589e-06, + "loss": 0.3411, + "step": 20005 + }, + { + "epoch": 0.59, + "learning_rate": 3.832865705471407e-06, + "loss": 0.6289, + "step": 20006 + }, + { + "epoch": 0.59, + "learning_rate": 3.8324030859444096e-06, + "loss": 0.8225, + "step": 20007 + }, + { + "epoch": 0.59, + "learning_rate": 3.831940476989084e-06, + "loss": 0.6946, + "step": 20008 + }, + { + "epoch": 0.59, + "learning_rate": 3.831477878609624e-06, + "loss": 0.7284, + "step": 20009 + }, + { + "epoch": 0.59, + "learning_rate": 3.8310152908102146e-06, + "loss": 0.678, + "step": 20010 + }, + { + "epoch": 0.59, + "learning_rate": 3.830552713595046e-06, + "loss": 0.8563, + "step": 20011 + }, + { + "epoch": 0.59, + "learning_rate": 3.830090146968304e-06, + "loss": 0.7885, + "step": 20012 + }, + { + "epoch": 0.59, + "learning_rate": 3.829627590934178e-06, + "loss": 0.7674, + "step": 20013 + }, + { + "epoch": 0.59, + "learning_rate": 3.829165045496857e-06, + "loss": 0.654, + "step": 20014 + }, + { + "epoch": 0.59, + "learning_rate": 3.828702510660528e-06, + "loss": 0.8928, + "step": 20015 + }, + { + "epoch": 0.59, + "learning_rate": 3.828239986429379e-06, + "loss": 0.9683, + "step": 20016 + }, + { + "epoch": 0.59, + "learning_rate": 3.827777472807597e-06, + "loss": 0.7385, + "step": 20017 + }, + { + "epoch": 0.59, + "learning_rate": 3.8273149697993706e-06, + "loss": 0.5549, + "step": 20018 + }, + { + "epoch": 0.59, + "learning_rate": 3.826852477408887e-06, + "loss": 0.7066, + "step": 20019 + }, + { + "epoch": 0.59, + "learning_rate": 3.826389995640336e-06, + "loss": 0.87, + "step": 20020 + }, + { + "epoch": 0.59, + "learning_rate": 3.8259275244979025e-06, + "loss": 0.853, + "step": 20021 + }, + { + "epoch": 0.59, + "learning_rate": 3.825465063985774e-06, + "loss": 0.5546, + "step": 20022 + }, + { + "epoch": 0.59, + "learning_rate": 3.8250026141081375e-06, + "loss": 0.704, + "step": 20023 + }, + { + "epoch": 0.59, + "learning_rate": 3.824540174869181e-06, + "loss": 0.5546, + "step": 20024 + }, + { + "epoch": 0.59, + "learning_rate": 3.824077746273092e-06, + "loss": 0.5678, + "step": 20025 + }, + { + "epoch": 0.59, + "learning_rate": 3.823615328324056e-06, + "loss": 0.8159, + "step": 20026 + }, + { + "epoch": 0.59, + "learning_rate": 3.823152921026258e-06, + "loss": 0.8478, + "step": 20027 + }, + { + "epoch": 0.59, + "learning_rate": 3.8226905243838895e-06, + "loss": 0.801, + "step": 20028 + }, + { + "epoch": 0.59, + "learning_rate": 3.822228138401135e-06, + "loss": 0.8486, + "step": 20029 + }, + { + "epoch": 0.59, + "learning_rate": 3.821765763082182e-06, + "loss": 0.6505, + "step": 20030 + }, + { + "epoch": 0.59, + "learning_rate": 3.821303398431214e-06, + "loss": 0.9017, + "step": 20031 + }, + { + "epoch": 0.59, + "learning_rate": 3.82084104445242e-06, + "loss": 0.7438, + "step": 20032 + }, + { + "epoch": 0.59, + "learning_rate": 3.820378701149986e-06, + "loss": 0.6824, + "step": 20033 + }, + { + "epoch": 0.59, + "learning_rate": 3.819916368528097e-06, + "loss": 0.7808, + "step": 20034 + }, + { + "epoch": 0.59, + "learning_rate": 3.819454046590939e-06, + "loss": 0.7025, + "step": 20035 + }, + { + "epoch": 0.59, + "learning_rate": 3.818991735342701e-06, + "loss": 0.6593, + "step": 20036 + }, + { + "epoch": 0.59, + "learning_rate": 3.8185294347875625e-06, + "loss": 0.5994, + "step": 20037 + }, + { + "epoch": 0.59, + "learning_rate": 3.818067144929716e-06, + "loss": 0.6323, + "step": 20038 + }, + { + "epoch": 0.59, + "learning_rate": 3.817604865773344e-06, + "loss": 0.7836, + "step": 20039 + }, + { + "epoch": 0.59, + "learning_rate": 3.817142597322633e-06, + "loss": 0.6672, + "step": 20040 + }, + { + "epoch": 0.59, + "learning_rate": 3.816680339581768e-06, + "loss": 0.6271, + "step": 20041 + }, + { + "epoch": 0.59, + "learning_rate": 3.816218092554934e-06, + "loss": 0.7425, + "step": 20042 + }, + { + "epoch": 0.59, + "learning_rate": 3.815755856246316e-06, + "loss": 0.6124, + "step": 20043 + }, + { + "epoch": 0.59, + "learning_rate": 3.815293630660101e-06, + "loss": 0.6249, + "step": 20044 + }, + { + "epoch": 0.59, + "learning_rate": 3.814831415800472e-06, + "loss": 0.7615, + "step": 20045 + }, + { + "epoch": 0.59, + "learning_rate": 3.814369211671615e-06, + "loss": 0.6492, + "step": 20046 + }, + { + "epoch": 0.59, + "learning_rate": 3.813907018277713e-06, + "loss": 0.6663, + "step": 20047 + }, + { + "epoch": 0.59, + "learning_rate": 3.813444835622955e-06, + "loss": 0.8046, + "step": 20048 + }, + { + "epoch": 0.59, + "learning_rate": 3.812982663711523e-06, + "loss": 0.7498, + "step": 20049 + }, + { + "epoch": 0.59, + "learning_rate": 3.812520502547602e-06, + "loss": 0.4863, + "step": 20050 + }, + { + "epoch": 0.59, + "learning_rate": 3.8120583521353766e-06, + "loss": 0.754, + "step": 20051 + }, + { + "epoch": 0.59, + "learning_rate": 3.8115962124790305e-06, + "loss": 0.8227, + "step": 20052 + }, + { + "epoch": 0.59, + "learning_rate": 3.8111340835827492e-06, + "loss": 0.6892, + "step": 20053 + }, + { + "epoch": 0.59, + "learning_rate": 3.8106719654507156e-06, + "loss": 0.8556, + "step": 20054 + }, + { + "epoch": 0.59, + "learning_rate": 3.810209858087115e-06, + "loss": 0.6105, + "step": 20055 + }, + { + "epoch": 0.59, + "learning_rate": 3.809747761496131e-06, + "loss": 0.6641, + "step": 20056 + }, + { + "epoch": 0.59, + "learning_rate": 3.8092856756819453e-06, + "loss": 0.798, + "step": 20057 + }, + { + "epoch": 0.59, + "learning_rate": 3.8088236006487454e-06, + "loss": 0.6719, + "step": 20058 + }, + { + "epoch": 0.59, + "learning_rate": 3.8083615364007136e-06, + "loss": 0.9928, + "step": 20059 + }, + { + "epoch": 0.59, + "learning_rate": 3.8078994829420345e-06, + "loss": 0.7604, + "step": 20060 + }, + { + "epoch": 0.59, + "learning_rate": 3.80743744027689e-06, + "loss": 0.8008, + "step": 20061 + }, + { + "epoch": 0.59, + "learning_rate": 3.8069754084094636e-06, + "loss": 0.6663, + "step": 20062 + }, + { + "epoch": 0.59, + "learning_rate": 3.8065133873439393e-06, + "loss": 0.9252, + "step": 20063 + }, + { + "epoch": 0.59, + "learning_rate": 3.8060513770845e-06, + "loss": 0.6251, + "step": 20064 + }, + { + "epoch": 0.59, + "learning_rate": 3.8055893776353293e-06, + "loss": 0.4701, + "step": 20065 + }, + { + "epoch": 0.59, + "learning_rate": 3.80512738900061e-06, + "loss": 0.7624, + "step": 20066 + }, + { + "epoch": 0.59, + "learning_rate": 3.804665411184522e-06, + "loss": 0.7685, + "step": 20067 + }, + { + "epoch": 0.59, + "learning_rate": 3.804203444191254e-06, + "loss": 0.7582, + "step": 20068 + }, + { + "epoch": 0.59, + "learning_rate": 3.8037414880249856e-06, + "loss": 0.9033, + "step": 20069 + }, + { + "epoch": 0.59, + "learning_rate": 3.803279542689899e-06, + "loss": 0.6258, + "step": 20070 + }, + { + "epoch": 0.59, + "learning_rate": 3.802817608190179e-06, + "loss": 0.7783, + "step": 20071 + }, + { + "epoch": 0.59, + "learning_rate": 3.802355684530006e-06, + "loss": 0.6011, + "step": 20072 + }, + { + "epoch": 0.59, + "learning_rate": 3.8018937717135625e-06, + "loss": 0.8093, + "step": 20073 + }, + { + "epoch": 0.59, + "learning_rate": 3.8014318697450316e-06, + "loss": 0.5761, + "step": 20074 + }, + { + "epoch": 0.59, + "learning_rate": 3.800969978628594e-06, + "loss": 0.6153, + "step": 20075 + }, + { + "epoch": 0.59, + "learning_rate": 3.8005080983684337e-06, + "loss": 0.7243, + "step": 20076 + }, + { + "epoch": 0.59, + "learning_rate": 3.8000462289687296e-06, + "loss": 0.7288, + "step": 20077 + }, + { + "epoch": 0.59, + "learning_rate": 3.7995843704336676e-06, + "loss": 0.6994, + "step": 20078 + }, + { + "epoch": 0.59, + "learning_rate": 3.799122522767427e-06, + "loss": 0.8839, + "step": 20079 + }, + { + "epoch": 0.59, + "learning_rate": 3.798660685974191e-06, + "loss": 0.7368, + "step": 20080 + }, + { + "epoch": 0.59, + "learning_rate": 3.79819886005814e-06, + "loss": 0.7524, + "step": 20081 + }, + { + "epoch": 0.59, + "learning_rate": 3.7977370450234553e-06, + "loss": 0.5187, + "step": 20082 + }, + { + "epoch": 0.59, + "learning_rate": 3.7972752408743184e-06, + "loss": 0.7958, + "step": 20083 + }, + { + "epoch": 0.59, + "learning_rate": 3.796813447614911e-06, + "loss": 0.7302, + "step": 20084 + }, + { + "epoch": 0.59, + "learning_rate": 3.7963516652494157e-06, + "loss": 0.6039, + "step": 20085 + }, + { + "epoch": 0.59, + "learning_rate": 3.7958898937820084e-06, + "loss": 0.6423, + "step": 20086 + }, + { + "epoch": 0.59, + "learning_rate": 3.7954281332168756e-06, + "loss": 0.6421, + "step": 20087 + }, + { + "epoch": 0.59, + "learning_rate": 3.7949663835581966e-06, + "loss": 0.6731, + "step": 20088 + }, + { + "epoch": 0.59, + "learning_rate": 3.794504644810152e-06, + "loss": 0.836, + "step": 20089 + }, + { + "epoch": 0.59, + "learning_rate": 3.7940429169769215e-06, + "loss": 0.6329, + "step": 20090 + }, + { + "epoch": 0.59, + "learning_rate": 3.793581200062687e-06, + "loss": 0.7071, + "step": 20091 + }, + { + "epoch": 0.59, + "learning_rate": 3.793119494071628e-06, + "loss": 0.7616, + "step": 20092 + }, + { + "epoch": 0.59, + "learning_rate": 3.792657799007926e-06, + "loss": 0.5864, + "step": 20093 + }, + { + "epoch": 0.59, + "learning_rate": 3.79219611487576e-06, + "loss": 1.0556, + "step": 20094 + }, + { + "epoch": 0.59, + "learning_rate": 3.791734441679312e-06, + "loss": 0.8575, + "step": 20095 + }, + { + "epoch": 0.59, + "learning_rate": 3.7912727794227576e-06, + "loss": 1.0442, + "step": 20096 + }, + { + "epoch": 0.59, + "learning_rate": 3.7908111281102823e-06, + "loss": 0.7194, + "step": 20097 + }, + { + "epoch": 0.59, + "learning_rate": 3.790349487746064e-06, + "loss": 0.6221, + "step": 20098 + }, + { + "epoch": 0.59, + "learning_rate": 3.7898878583342825e-06, + "loss": 0.9382, + "step": 20099 + }, + { + "epoch": 0.59, + "learning_rate": 3.789426239879117e-06, + "loss": 0.339, + "step": 20100 + }, + { + "epoch": 0.59, + "learning_rate": 3.7889646323847474e-06, + "loss": 0.7538, + "step": 20101 + }, + { + "epoch": 0.59, + "learning_rate": 3.7885030358553533e-06, + "loss": 1.0249, + "step": 20102 + }, + { + "epoch": 0.59, + "learning_rate": 3.7880414502951137e-06, + "loss": 0.6798, + "step": 20103 + }, + { + "epoch": 0.59, + "learning_rate": 3.7875798757082084e-06, + "loss": 0.7955, + "step": 20104 + }, + { + "epoch": 0.59, + "learning_rate": 3.7871183120988166e-06, + "loss": 0.6333, + "step": 20105 + }, + { + "epoch": 0.59, + "learning_rate": 3.7866567594711155e-06, + "loss": 0.7, + "step": 20106 + }, + { + "epoch": 0.59, + "learning_rate": 3.786195217829287e-06, + "loss": 0.7443, + "step": 20107 + }, + { + "epoch": 0.59, + "learning_rate": 3.7857336871775084e-06, + "loss": 0.762, + "step": 20108 + }, + { + "epoch": 0.59, + "learning_rate": 3.7852721675199596e-06, + "loss": 0.8912, + "step": 20109 + }, + { + "epoch": 0.59, + "learning_rate": 3.784810658860818e-06, + "loss": 0.915, + "step": 20110 + }, + { + "epoch": 0.59, + "learning_rate": 3.7843491612042627e-06, + "loss": 0.6837, + "step": 20111 + }, + { + "epoch": 0.59, + "learning_rate": 3.7838876745544727e-06, + "loss": 0.9333, + "step": 20112 + }, + { + "epoch": 0.59, + "learning_rate": 3.7834261989156253e-06, + "loss": 0.8429, + "step": 20113 + }, + { + "epoch": 0.59, + "learning_rate": 3.7829647342918996e-06, + "loss": 0.5948, + "step": 20114 + }, + { + "epoch": 0.59, + "learning_rate": 3.7825032806874738e-06, + "loss": 0.6638, + "step": 20115 + }, + { + "epoch": 0.59, + "learning_rate": 3.7820418381065236e-06, + "loss": 0.6803, + "step": 20116 + }, + { + "epoch": 0.59, + "learning_rate": 3.7815804065532317e-06, + "loss": 0.792, + "step": 20117 + }, + { + "epoch": 0.59, + "learning_rate": 3.781118986031773e-06, + "loss": 0.6991, + "step": 20118 + }, + { + "epoch": 0.59, + "learning_rate": 3.780657576546326e-06, + "loss": 0.7057, + "step": 20119 + }, + { + "epoch": 0.59, + "learning_rate": 3.780196178101069e-06, + "loss": 0.8285, + "step": 20120 + }, + { + "epoch": 0.59, + "learning_rate": 3.779734790700178e-06, + "loss": 0.9641, + "step": 20121 + }, + { + "epoch": 0.59, + "learning_rate": 3.7792734143478314e-06, + "loss": 0.6223, + "step": 20122 + }, + { + "epoch": 0.59, + "learning_rate": 3.7788120490482065e-06, + "loss": 0.6936, + "step": 20123 + }, + { + "epoch": 0.59, + "learning_rate": 3.7783506948054802e-06, + "loss": 0.84, + "step": 20124 + }, + { + "epoch": 0.59, + "learning_rate": 3.777889351623831e-06, + "loss": 0.6342, + "step": 20125 + }, + { + "epoch": 0.59, + "learning_rate": 3.7774280195074343e-06, + "loss": 0.4723, + "step": 20126 + }, + { + "epoch": 0.59, + "learning_rate": 3.776966698460468e-06, + "loss": 0.9074, + "step": 20127 + }, + { + "epoch": 0.59, + "learning_rate": 3.7765053884871094e-06, + "loss": 0.6891, + "step": 20128 + }, + { + "epoch": 0.59, + "learning_rate": 3.7760440895915353e-06, + "loss": 0.6608, + "step": 20129 + }, + { + "epoch": 0.59, + "learning_rate": 3.775582801777921e-06, + "loss": 0.7067, + "step": 20130 + }, + { + "epoch": 0.59, + "learning_rate": 3.7751215250504447e-06, + "loss": 0.7478, + "step": 20131 + }, + { + "epoch": 0.59, + "learning_rate": 3.7746602594132818e-06, + "loss": 0.7642, + "step": 20132 + }, + { + "epoch": 0.59, + "learning_rate": 3.7741990048706097e-06, + "loss": 0.734, + "step": 20133 + }, + { + "epoch": 0.59, + "learning_rate": 3.7737377614266035e-06, + "loss": 0.7058, + "step": 20134 + }, + { + "epoch": 0.59, + "learning_rate": 3.7732765290854405e-06, + "loss": 0.5884, + "step": 20135 + }, + { + "epoch": 0.59, + "learning_rate": 3.772815307851294e-06, + "loss": 0.5436, + "step": 20136 + }, + { + "epoch": 0.59, + "learning_rate": 3.7723540977283445e-06, + "loss": 0.8283, + "step": 20137 + }, + { + "epoch": 0.59, + "learning_rate": 3.771892898720766e-06, + "loss": 0.6981, + "step": 20138 + }, + { + "epoch": 0.59, + "learning_rate": 3.771431710832734e-06, + "loss": 0.7845, + "step": 20139 + }, + { + "epoch": 0.59, + "learning_rate": 3.7709705340684234e-06, + "loss": 0.7358, + "step": 20140 + }, + { + "epoch": 0.59, + "learning_rate": 3.7705093684320116e-06, + "loss": 0.8713, + "step": 20141 + }, + { + "epoch": 0.59, + "learning_rate": 3.7700482139276724e-06, + "loss": 0.6242, + "step": 20142 + }, + { + "epoch": 0.59, + "learning_rate": 3.7695870705595823e-06, + "loss": 0.8813, + "step": 20143 + }, + { + "epoch": 0.59, + "learning_rate": 3.7691259383319157e-06, + "loss": 0.8319, + "step": 20144 + }, + { + "epoch": 0.59, + "learning_rate": 3.7686648172488487e-06, + "loss": 0.6944, + "step": 20145 + }, + { + "epoch": 0.59, + "learning_rate": 3.7682037073145548e-06, + "loss": 0.629, + "step": 20146 + }, + { + "epoch": 0.59, + "learning_rate": 3.7677426085332114e-06, + "loss": 0.8492, + "step": 20147 + }, + { + "epoch": 0.59, + "learning_rate": 3.767281520908992e-06, + "loss": 0.7254, + "step": 20148 + }, + { + "epoch": 0.59, + "learning_rate": 3.766820444446071e-06, + "loss": 0.7656, + "step": 20149 + }, + { + "epoch": 0.59, + "learning_rate": 3.766359379148624e-06, + "loss": 0.6494, + "step": 20150 + }, + { + "epoch": 0.59, + "learning_rate": 3.765898325020825e-06, + "loss": 0.7491, + "step": 20151 + }, + { + "epoch": 0.59, + "learning_rate": 3.7654372820668494e-06, + "loss": 0.6544, + "step": 20152 + }, + { + "epoch": 0.59, + "learning_rate": 3.7649762502908703e-06, + "loss": 0.7347, + "step": 20153 + }, + { + "epoch": 0.59, + "learning_rate": 3.7645152296970626e-06, + "loss": 0.7621, + "step": 20154 + }, + { + "epoch": 0.59, + "learning_rate": 3.7640542202895985e-06, + "loss": 0.8045, + "step": 20155 + }, + { + "epoch": 0.59, + "learning_rate": 3.7635932220726556e-06, + "loss": 0.7245, + "step": 20156 + }, + { + "epoch": 0.59, + "learning_rate": 3.7631322350504067e-06, + "loss": 0.8681, + "step": 20157 + }, + { + "epoch": 0.59, + "learning_rate": 3.762671259227025e-06, + "loss": 0.6833, + "step": 20158 + }, + { + "epoch": 0.59, + "learning_rate": 3.7622102946066853e-06, + "loss": 0.6891, + "step": 20159 + }, + { + "epoch": 0.59, + "learning_rate": 3.7617493411935602e-06, + "loss": 0.721, + "step": 20160 + }, + { + "epoch": 0.59, + "learning_rate": 3.761288398991823e-06, + "loss": 0.6655, + "step": 20161 + }, + { + "epoch": 0.59, + "learning_rate": 3.7608274680056478e-06, + "loss": 0.7566, + "step": 20162 + }, + { + "epoch": 0.59, + "learning_rate": 3.7603665482392083e-06, + "loss": 0.5963, + "step": 20163 + }, + { + "epoch": 0.59, + "learning_rate": 3.759905639696677e-06, + "loss": 0.642, + "step": 20164 + }, + { + "epoch": 0.59, + "learning_rate": 3.759444742382227e-06, + "loss": 0.7053, + "step": 20165 + }, + { + "epoch": 0.59, + "learning_rate": 3.7589838563000324e-06, + "loss": 0.7495, + "step": 20166 + }, + { + "epoch": 0.59, + "learning_rate": 3.758522981454266e-06, + "loss": 0.7639, + "step": 20167 + }, + { + "epoch": 0.59, + "learning_rate": 3.7580621178490995e-06, + "loss": 0.5531, + "step": 20168 + }, + { + "epoch": 0.59, + "learning_rate": 3.7576012654887067e-06, + "loss": 0.872, + "step": 20169 + }, + { + "epoch": 0.59, + "learning_rate": 3.75714042437726e-06, + "loss": 0.5965, + "step": 20170 + }, + { + "epoch": 0.59, + "learning_rate": 3.7566795945189316e-06, + "loss": 0.5755, + "step": 20171 + }, + { + "epoch": 0.59, + "learning_rate": 3.7562187759178946e-06, + "loss": 0.8552, + "step": 20172 + }, + { + "epoch": 0.59, + "learning_rate": 3.755757968578321e-06, + "loss": 0.9789, + "step": 20173 + }, + { + "epoch": 0.59, + "learning_rate": 3.755297172504383e-06, + "loss": 0.7822, + "step": 20174 + }, + { + "epoch": 0.59, + "learning_rate": 3.754836387700251e-06, + "loss": 0.7799, + "step": 20175 + }, + { + "epoch": 0.59, + "learning_rate": 3.7543756141701006e-06, + "loss": 0.6582, + "step": 20176 + }, + { + "epoch": 0.59, + "learning_rate": 3.753914851918102e-06, + "loss": 0.8771, + "step": 20177 + }, + { + "epoch": 0.59, + "learning_rate": 3.753454100948427e-06, + "loss": 0.7209, + "step": 20178 + }, + { + "epoch": 0.59, + "learning_rate": 3.7529933612652474e-06, + "loss": 0.8844, + "step": 20179 + }, + { + "epoch": 0.59, + "learning_rate": 3.752532632872735e-06, + "loss": 0.6168, + "step": 20180 + }, + { + "epoch": 0.59, + "learning_rate": 3.752071915775061e-06, + "loss": 0.6947, + "step": 20181 + }, + { + "epoch": 0.59, + "learning_rate": 3.751611209976397e-06, + "loss": 0.5792, + "step": 20182 + }, + { + "epoch": 0.59, + "learning_rate": 3.7511505154809143e-06, + "loss": 0.7583, + "step": 20183 + }, + { + "epoch": 0.59, + "learning_rate": 3.7506898322927836e-06, + "loss": 0.8281, + "step": 20184 + }, + { + "epoch": 0.59, + "learning_rate": 3.750229160416176e-06, + "loss": 0.6449, + "step": 20185 + }, + { + "epoch": 0.59, + "learning_rate": 3.7497684998552643e-06, + "loss": 0.6039, + "step": 20186 + }, + { + "epoch": 0.59, + "learning_rate": 3.7493078506142176e-06, + "loss": 0.7196, + "step": 20187 + }, + { + "epoch": 0.59, + "learning_rate": 3.7488472126972082e-06, + "loss": 0.6599, + "step": 20188 + }, + { + "epoch": 0.59, + "learning_rate": 3.7483865861084056e-06, + "loss": 0.6233, + "step": 20189 + }, + { + "epoch": 0.59, + "learning_rate": 3.74792597085198e-06, + "loss": 0.7032, + "step": 20190 + }, + { + "epoch": 0.59, + "learning_rate": 3.747465366932104e-06, + "loss": 0.6113, + "step": 20191 + }, + { + "epoch": 0.59, + "learning_rate": 3.747004774352945e-06, + "loss": 0.7504, + "step": 20192 + }, + { + "epoch": 0.59, + "learning_rate": 3.7465441931186763e-06, + "loss": 0.8845, + "step": 20193 + }, + { + "epoch": 0.59, + "learning_rate": 3.7460836232334664e-06, + "loss": 0.6181, + "step": 20194 + }, + { + "epoch": 0.59, + "learning_rate": 3.7456230647014835e-06, + "loss": 0.751, + "step": 20195 + }, + { + "epoch": 0.59, + "learning_rate": 3.745162517526901e-06, + "loss": 0.4679, + "step": 20196 + }, + { + "epoch": 0.59, + "learning_rate": 3.7447019817138897e-06, + "loss": 0.621, + "step": 20197 + }, + { + "epoch": 0.59, + "learning_rate": 3.744241457266616e-06, + "loss": 0.5155, + "step": 20198 + }, + { + "epoch": 0.59, + "learning_rate": 3.7437809441892513e-06, + "loss": 0.7612, + "step": 20199 + }, + { + "epoch": 0.59, + "learning_rate": 3.743320442485965e-06, + "loss": 0.6642, + "step": 20200 + }, + { + "epoch": 0.59, + "learning_rate": 3.7428599521609254e-06, + "loss": 0.5972, + "step": 20201 + }, + { + "epoch": 0.59, + "learning_rate": 3.7423994732183037e-06, + "loss": 0.6704, + "step": 20202 + }, + { + "epoch": 0.59, + "learning_rate": 3.7419390056622684e-06, + "loss": 0.7635, + "step": 20203 + }, + { + "epoch": 0.59, + "learning_rate": 3.7414785494969886e-06, + "loss": 0.8124, + "step": 20204 + }, + { + "epoch": 0.59, + "learning_rate": 3.7410181047266326e-06, + "loss": 0.6563, + "step": 20205 + }, + { + "epoch": 0.59, + "learning_rate": 3.7405576713553702e-06, + "loss": 0.4839, + "step": 20206 + }, + { + "epoch": 0.59, + "learning_rate": 3.740097249387371e-06, + "loss": 0.7848, + "step": 20207 + }, + { + "epoch": 0.59, + "learning_rate": 3.739636838826803e-06, + "loss": 0.9562, + "step": 20208 + }, + { + "epoch": 0.59, + "learning_rate": 3.739176439677834e-06, + "loss": 0.7409, + "step": 20209 + }, + { + "epoch": 0.59, + "learning_rate": 3.738716051944634e-06, + "loss": 1.1046, + "step": 20210 + }, + { + "epoch": 0.59, + "learning_rate": 3.7382556756313717e-06, + "loss": 0.6559, + "step": 20211 + }, + { + "epoch": 0.59, + "learning_rate": 3.7377953107422136e-06, + "loss": 1.0805, + "step": 20212 + }, + { + "epoch": 0.59, + "learning_rate": 3.7373349572813287e-06, + "loss": 0.6407, + "step": 20213 + }, + { + "epoch": 0.59, + "learning_rate": 3.7368746152528856e-06, + "loss": 0.855, + "step": 20214 + }, + { + "epoch": 0.59, + "learning_rate": 3.736414284661051e-06, + "loss": 0.6352, + "step": 20215 + }, + { + "epoch": 0.59, + "learning_rate": 3.735953965509995e-06, + "loss": 0.7117, + "step": 20216 + }, + { + "epoch": 0.59, + "learning_rate": 3.735493657803885e-06, + "loss": 0.5412, + "step": 20217 + }, + { + "epoch": 0.59, + "learning_rate": 3.735033361546887e-06, + "loss": 0.603, + "step": 20218 + }, + { + "epoch": 0.59, + "learning_rate": 3.7345730767431706e-06, + "loss": 0.7361, + "step": 20219 + }, + { + "epoch": 0.59, + "learning_rate": 3.734112803396902e-06, + "loss": 0.808, + "step": 20220 + }, + { + "epoch": 0.59, + "learning_rate": 3.733652541512249e-06, + "loss": 0.4867, + "step": 20221 + }, + { + "epoch": 0.59, + "learning_rate": 3.7331922910933792e-06, + "loss": 0.7208, + "step": 20222 + }, + { + "epoch": 0.59, + "learning_rate": 3.73273205214446e-06, + "loss": 0.544, + "step": 20223 + }, + { + "epoch": 0.59, + "learning_rate": 3.7322718246696567e-06, + "loss": 0.4407, + "step": 20224 + }, + { + "epoch": 0.59, + "learning_rate": 3.731811608673138e-06, + "loss": 0.7773, + "step": 20225 + }, + { + "epoch": 0.59, + "learning_rate": 3.7313514041590714e-06, + "loss": 0.4024, + "step": 20226 + }, + { + "epoch": 0.59, + "learning_rate": 3.7308912111316227e-06, + "loss": 0.6557, + "step": 20227 + }, + { + "epoch": 0.59, + "learning_rate": 3.730431029594958e-06, + "loss": 0.664, + "step": 20228 + }, + { + "epoch": 0.59, + "learning_rate": 3.729970859553245e-06, + "loss": 0.7814, + "step": 20229 + }, + { + "epoch": 0.59, + "learning_rate": 3.7295107010106495e-06, + "loss": 0.6871, + "step": 20230 + }, + { + "epoch": 0.59, + "learning_rate": 3.7290505539713385e-06, + "loss": 0.5775, + "step": 20231 + }, + { + "epoch": 0.59, + "learning_rate": 3.728590418439477e-06, + "loss": 0.8124, + "step": 20232 + }, + { + "epoch": 0.59, + "learning_rate": 3.7281302944192325e-06, + "loss": 0.6615, + "step": 20233 + }, + { + "epoch": 0.59, + "learning_rate": 3.7276701819147685e-06, + "loss": 0.7356, + "step": 20234 + }, + { + "epoch": 0.59, + "learning_rate": 3.7272100809302546e-06, + "loss": 0.8083, + "step": 20235 + }, + { + "epoch": 0.59, + "learning_rate": 3.7267499914698555e-06, + "loss": 0.7831, + "step": 20236 + }, + { + "epoch": 0.59, + "learning_rate": 3.726289913537737e-06, + "loss": 0.7298, + "step": 20237 + }, + { + "epoch": 0.59, + "learning_rate": 3.7258298471380638e-06, + "loss": 0.8774, + "step": 20238 + }, + { + "epoch": 0.59, + "learning_rate": 3.725369792275002e-06, + "loss": 0.7459, + "step": 20239 + }, + { + "epoch": 0.59, + "learning_rate": 3.7249097489527176e-06, + "loss": 0.812, + "step": 20240 + }, + { + "epoch": 0.59, + "learning_rate": 3.7244497171753745e-06, + "loss": 0.7795, + "step": 20241 + }, + { + "epoch": 0.59, + "learning_rate": 3.723989696947139e-06, + "loss": 0.8521, + "step": 20242 + }, + { + "epoch": 0.59, + "learning_rate": 3.723529688272175e-06, + "loss": 0.7001, + "step": 20243 + }, + { + "epoch": 0.59, + "learning_rate": 3.723069691154648e-06, + "loss": 0.6664, + "step": 20244 + }, + { + "epoch": 0.59, + "learning_rate": 3.7226097055987253e-06, + "loss": 0.6138, + "step": 20245 + }, + { + "epoch": 0.59, + "learning_rate": 3.7221497316085686e-06, + "loss": 0.648, + "step": 20246 + }, + { + "epoch": 0.59, + "learning_rate": 3.7216897691883445e-06, + "loss": 0.7738, + "step": 20247 + }, + { + "epoch": 0.59, + "learning_rate": 3.721229818342217e-06, + "loss": 0.7439, + "step": 20248 + }, + { + "epoch": 0.59, + "learning_rate": 3.7207698790743497e-06, + "loss": 0.5302, + "step": 20249 + }, + { + "epoch": 0.59, + "learning_rate": 3.7203099513889084e-06, + "loss": 0.7822, + "step": 20250 + }, + { + "epoch": 0.59, + "learning_rate": 3.719850035290056e-06, + "loss": 0.4434, + "step": 20251 + }, + { + "epoch": 0.59, + "learning_rate": 3.719390130781958e-06, + "loss": 0.7819, + "step": 20252 + }, + { + "epoch": 0.6, + "learning_rate": 3.718930237868778e-06, + "loss": 0.6501, + "step": 20253 + }, + { + "epoch": 0.6, + "learning_rate": 3.7184703565546775e-06, + "loss": 0.6831, + "step": 20254 + }, + { + "epoch": 0.6, + "learning_rate": 3.7180104868438248e-06, + "loss": 0.8361, + "step": 20255 + }, + { + "epoch": 0.6, + "learning_rate": 3.7175506287403816e-06, + "loss": 0.8446, + "step": 20256 + }, + { + "epoch": 0.6, + "learning_rate": 3.717090782248512e-06, + "loss": 0.7005, + "step": 20257 + }, + { + "epoch": 0.6, + "learning_rate": 3.7166309473723784e-06, + "loss": 0.5834, + "step": 20258 + }, + { + "epoch": 0.6, + "learning_rate": 3.716171124116146e-06, + "loss": 0.67, + "step": 20259 + }, + { + "epoch": 0.6, + "learning_rate": 3.7157113124839762e-06, + "loss": 0.8663, + "step": 20260 + }, + { + "epoch": 0.6, + "learning_rate": 3.7152515124800327e-06, + "loss": 0.6628, + "step": 20261 + }, + { + "epoch": 0.6, + "learning_rate": 3.7147917241084795e-06, + "loss": 0.6891, + "step": 20262 + }, + { + "epoch": 0.6, + "learning_rate": 3.7143319473734794e-06, + "loss": 0.9213, + "step": 20263 + }, + { + "epoch": 0.6, + "learning_rate": 3.713872182279194e-06, + "loss": 0.4512, + "step": 20264 + }, + { + "epoch": 0.6, + "learning_rate": 3.713412428829788e-06, + "loss": 0.704, + "step": 20265 + }, + { + "epoch": 0.6, + "learning_rate": 3.7129526870294237e-06, + "loss": 0.5707, + "step": 20266 + }, + { + "epoch": 0.6, + "learning_rate": 3.712492956882263e-06, + "loss": 0.9825, + "step": 20267 + }, + { + "epoch": 0.6, + "learning_rate": 3.7120332383924683e-06, + "loss": 0.5107, + "step": 20268 + }, + { + "epoch": 0.6, + "learning_rate": 3.711573531564203e-06, + "loss": 0.7821, + "step": 20269 + }, + { + "epoch": 0.6, + "learning_rate": 3.7111138364016284e-06, + "loss": 0.7036, + "step": 20270 + }, + { + "epoch": 0.6, + "learning_rate": 3.710654152908908e-06, + "loss": 0.8203, + "step": 20271 + }, + { + "epoch": 0.6, + "learning_rate": 3.7101944810902017e-06, + "loss": 0.6504, + "step": 20272 + }, + { + "epoch": 0.6, + "learning_rate": 3.709734820949673e-06, + "loss": 1.0115, + "step": 20273 + }, + { + "epoch": 0.6, + "learning_rate": 3.7092751724914823e-06, + "loss": 0.7315, + "step": 20274 + }, + { + "epoch": 0.6, + "learning_rate": 3.708815535719793e-06, + "loss": 0.7972, + "step": 20275 + }, + { + "epoch": 0.6, + "learning_rate": 3.7083559106387673e-06, + "loss": 0.6612, + "step": 20276 + }, + { + "epoch": 0.6, + "learning_rate": 3.7078962972525654e-06, + "loss": 0.9316, + "step": 20277 + }, + { + "epoch": 0.6, + "learning_rate": 3.7074366955653497e-06, + "loss": 0.8283, + "step": 20278 + }, + { + "epoch": 0.6, + "learning_rate": 3.70697710558128e-06, + "loss": 0.623, + "step": 20279 + }, + { + "epoch": 0.6, + "learning_rate": 3.7065175273045182e-06, + "loss": 0.88, + "step": 20280 + }, + { + "epoch": 0.6, + "learning_rate": 3.7060579607392268e-06, + "loss": 0.8108, + "step": 20281 + }, + { + "epoch": 0.6, + "learning_rate": 3.7055984058895644e-06, + "loss": 0.5909, + "step": 20282 + }, + { + "epoch": 0.6, + "learning_rate": 3.705138862759693e-06, + "loss": 0.5183, + "step": 20283 + }, + { + "epoch": 0.6, + "learning_rate": 3.7046793313537743e-06, + "loss": 0.8044, + "step": 20284 + }, + { + "epoch": 0.6, + "learning_rate": 3.7042198116759687e-06, + "loss": 0.652, + "step": 20285 + }, + { + "epoch": 0.6, + "learning_rate": 3.7037603037304356e-06, + "loss": 0.5577, + "step": 20286 + }, + { + "epoch": 0.6, + "learning_rate": 3.7033008075213363e-06, + "loss": 0.9033, + "step": 20287 + }, + { + "epoch": 0.6, + "learning_rate": 3.7028413230528316e-06, + "loss": 0.6066, + "step": 20288 + }, + { + "epoch": 0.6, + "learning_rate": 3.702381850329081e-06, + "loss": 0.618, + "step": 20289 + }, + { + "epoch": 0.6, + "learning_rate": 3.7019223893542443e-06, + "loss": 0.6312, + "step": 20290 + }, + { + "epoch": 0.6, + "learning_rate": 3.701462940132483e-06, + "loss": 0.9593, + "step": 20291 + }, + { + "epoch": 0.6, + "learning_rate": 3.701003502667956e-06, + "loss": 0.6619, + "step": 20292 + }, + { + "epoch": 0.6, + "learning_rate": 3.7005440769648215e-06, + "loss": 0.5134, + "step": 20293 + }, + { + "epoch": 0.6, + "learning_rate": 3.700084663027243e-06, + "loss": 0.65, + "step": 20294 + }, + { + "epoch": 0.6, + "learning_rate": 3.6996252608593787e-06, + "loss": 0.801, + "step": 20295 + }, + { + "epoch": 0.6, + "learning_rate": 3.699165870465387e-06, + "loss": 0.6973, + "step": 20296 + }, + { + "epoch": 0.6, + "learning_rate": 3.6987064918494286e-06, + "loss": 0.7686, + "step": 20297 + }, + { + "epoch": 0.6, + "learning_rate": 3.6982471250156614e-06, + "loss": 0.4804, + "step": 20298 + }, + { + "epoch": 0.6, + "learning_rate": 3.6977877699682463e-06, + "loss": 0.8117, + "step": 20299 + }, + { + "epoch": 0.6, + "learning_rate": 3.6973284267113414e-06, + "loss": 0.8471, + "step": 20300 + }, + { + "epoch": 0.6, + "learning_rate": 3.6968690952491055e-06, + "loss": 0.6205, + "step": 20301 + }, + { + "epoch": 0.6, + "learning_rate": 3.6964097755856977e-06, + "loss": 0.7464, + "step": 20302 + }, + { + "epoch": 0.6, + "learning_rate": 3.6959504677252765e-06, + "loss": 0.6688, + "step": 20303 + }, + { + "epoch": 0.6, + "learning_rate": 3.6954911716720015e-06, + "loss": 0.784, + "step": 20304 + }, + { + "epoch": 0.6, + "learning_rate": 3.6950318874300305e-06, + "loss": 0.813, + "step": 20305 + }, + { + "epoch": 0.6, + "learning_rate": 3.694572615003523e-06, + "loss": 0.6605, + "step": 20306 + }, + { + "epoch": 0.6, + "learning_rate": 3.6941133543966358e-06, + "loss": 0.7683, + "step": 20307 + }, + { + "epoch": 0.6, + "learning_rate": 3.6936541056135277e-06, + "loss": 0.7542, + "step": 20308 + }, + { + "epoch": 0.6, + "learning_rate": 3.693194868658358e-06, + "loss": 0.377, + "step": 20309 + }, + { + "epoch": 0.6, + "learning_rate": 3.6927356435352834e-06, + "loss": 0.6022, + "step": 20310 + }, + { + "epoch": 0.6, + "learning_rate": 3.6922764302484615e-06, + "loss": 0.8436, + "step": 20311 + }, + { + "epoch": 0.6, + "learning_rate": 3.6918172288020515e-06, + "loss": 0.6696, + "step": 20312 + }, + { + "epoch": 0.6, + "learning_rate": 3.691358039200208e-06, + "loss": 0.6465, + "step": 20313 + }, + { + "epoch": 0.6, + "learning_rate": 3.690898861447093e-06, + "loss": 0.6788, + "step": 20314 + }, + { + "epoch": 0.6, + "learning_rate": 3.6904396955468626e-06, + "loss": 0.7789, + "step": 20315 + }, + { + "epoch": 0.6, + "learning_rate": 3.6899805415036728e-06, + "loss": 0.6718, + "step": 20316 + }, + { + "epoch": 0.6, + "learning_rate": 3.6895213993216817e-06, + "loss": 0.8627, + "step": 20317 + }, + { + "epoch": 0.6, + "learning_rate": 3.6890622690050473e-06, + "loss": 0.7722, + "step": 20318 + }, + { + "epoch": 0.6, + "learning_rate": 3.688603150557925e-06, + "loss": 0.8879, + "step": 20319 + }, + { + "epoch": 0.6, + "learning_rate": 3.688144043984473e-06, + "loss": 0.7823, + "step": 20320 + }, + { + "epoch": 0.6, + "learning_rate": 3.6876849492888473e-06, + "loss": 0.6802, + "step": 20321 + }, + { + "epoch": 0.6, + "learning_rate": 3.6872258664752054e-06, + "loss": 0.6779, + "step": 20322 + }, + { + "epoch": 0.6, + "learning_rate": 3.686766795547702e-06, + "loss": 0.7479, + "step": 20323 + }, + { + "epoch": 0.6, + "learning_rate": 3.6863077365104973e-06, + "loss": 0.6033, + "step": 20324 + }, + { + "epoch": 0.6, + "learning_rate": 3.6858486893677447e-06, + "loss": 0.9045, + "step": 20325 + }, + { + "epoch": 0.6, + "learning_rate": 3.685389654123601e-06, + "loss": 0.628, + "step": 20326 + }, + { + "epoch": 0.6, + "learning_rate": 3.684930630782224e-06, + "loss": 0.8796, + "step": 20327 + }, + { + "epoch": 0.6, + "learning_rate": 3.684471619347768e-06, + "loss": 1.1895, + "step": 20328 + }, + { + "epoch": 0.6, + "learning_rate": 3.6840126198243896e-06, + "loss": 0.8707, + "step": 20329 + }, + { + "epoch": 0.6, + "learning_rate": 3.683553632216245e-06, + "loss": 0.6257, + "step": 20330 + }, + { + "epoch": 0.6, + "learning_rate": 3.6830946565274894e-06, + "loss": 0.7202, + "step": 20331 + }, + { + "epoch": 0.6, + "learning_rate": 3.6826356927622797e-06, + "loss": 0.6724, + "step": 20332 + }, + { + "epoch": 0.6, + "learning_rate": 3.6821767409247673e-06, + "loss": 0.8368, + "step": 20333 + }, + { + "epoch": 0.6, + "learning_rate": 3.6817178010191136e-06, + "loss": 0.9199, + "step": 20334 + }, + { + "epoch": 0.6, + "learning_rate": 3.68125887304947e-06, + "loss": 0.7083, + "step": 20335 + }, + { + "epoch": 0.6, + "learning_rate": 3.6807999570199948e-06, + "loss": 0.5711, + "step": 20336 + }, + { + "epoch": 0.6, + "learning_rate": 3.6803410529348398e-06, + "loss": 0.7186, + "step": 20337 + }, + { + "epoch": 0.6, + "learning_rate": 3.6798821607981623e-06, + "loss": 0.7524, + "step": 20338 + }, + { + "epoch": 0.6, + "learning_rate": 3.6794232806141163e-06, + "loss": 0.7128, + "step": 20339 + }, + { + "epoch": 0.6, + "learning_rate": 3.6789644123868564e-06, + "loss": 0.4215, + "step": 20340 + }, + { + "epoch": 0.6, + "learning_rate": 3.6785055561205373e-06, + "loss": 0.9738, + "step": 20341 + }, + { + "epoch": 0.6, + "learning_rate": 3.678046711819314e-06, + "loss": 0.7469, + "step": 20342 + }, + { + "epoch": 0.6, + "learning_rate": 3.67758787948734e-06, + "loss": 0.8223, + "step": 20343 + }, + { + "epoch": 0.6, + "learning_rate": 3.677129059128771e-06, + "loss": 0.8548, + "step": 20344 + }, + { + "epoch": 0.6, + "learning_rate": 3.6766702507477613e-06, + "loss": 0.8512, + "step": 20345 + }, + { + "epoch": 0.6, + "learning_rate": 3.6762114543484646e-06, + "loss": 0.7534, + "step": 20346 + }, + { + "epoch": 0.6, + "learning_rate": 3.6757526699350343e-06, + "loss": 0.7621, + "step": 20347 + }, + { + "epoch": 0.6, + "learning_rate": 3.6752938975116252e-06, + "loss": 0.8765, + "step": 20348 + }, + { + "epoch": 0.6, + "learning_rate": 3.6748351370823907e-06, + "loss": 0.9707, + "step": 20349 + }, + { + "epoch": 0.6, + "learning_rate": 3.674376388651485e-06, + "loss": 0.7905, + "step": 20350 + }, + { + "epoch": 0.6, + "learning_rate": 3.6739176522230612e-06, + "loss": 0.5359, + "step": 20351 + }, + { + "epoch": 0.6, + "learning_rate": 3.6734589278012706e-06, + "loss": 0.6251, + "step": 20352 + }, + { + "epoch": 0.6, + "learning_rate": 3.673000215390271e-06, + "loss": 0.954, + "step": 20353 + }, + { + "epoch": 0.6, + "learning_rate": 3.672541514994214e-06, + "loss": 0.6245, + "step": 20354 + }, + { + "epoch": 0.6, + "learning_rate": 3.672082826617252e-06, + "loss": 0.6273, + "step": 20355 + }, + { + "epoch": 0.6, + "learning_rate": 3.6716241502635385e-06, + "loss": 0.8079, + "step": 20356 + }, + { + "epoch": 0.6, + "learning_rate": 3.671165485937226e-06, + "loss": 0.4487, + "step": 20357 + }, + { + "epoch": 0.6, + "learning_rate": 3.6707068336424685e-06, + "loss": 0.5763, + "step": 20358 + }, + { + "epoch": 0.6, + "learning_rate": 3.6702481933834178e-06, + "loss": 0.9579, + "step": 20359 + }, + { + "epoch": 0.6, + "learning_rate": 3.6697895651642263e-06, + "loss": 0.6742, + "step": 20360 + }, + { + "epoch": 0.6, + "learning_rate": 3.669330948989047e-06, + "loss": 0.8248, + "step": 20361 + }, + { + "epoch": 0.6, + "learning_rate": 3.668872344862031e-06, + "loss": 0.7703, + "step": 20362 + }, + { + "epoch": 0.6, + "learning_rate": 3.668413752787333e-06, + "loss": 0.7016, + "step": 20363 + }, + { + "epoch": 0.6, + "learning_rate": 3.667955172769104e-06, + "loss": 0.6773, + "step": 20364 + }, + { + "epoch": 0.6, + "learning_rate": 3.667496604811497e-06, + "loss": 0.7, + "step": 20365 + }, + { + "epoch": 0.6, + "learning_rate": 3.667038048918662e-06, + "loss": 0.8005, + "step": 20366 + }, + { + "epoch": 0.6, + "learning_rate": 3.6665795050947523e-06, + "loss": 0.7268, + "step": 20367 + }, + { + "epoch": 0.6, + "learning_rate": 3.6661209733439196e-06, + "loss": 0.8137, + "step": 20368 + }, + { + "epoch": 0.6, + "learning_rate": 3.6656624536703143e-06, + "loss": 0.7322, + "step": 20369 + }, + { + "epoch": 0.6, + "learning_rate": 3.66520394607809e-06, + "loss": 0.7478, + "step": 20370 + }, + { + "epoch": 0.6, + "learning_rate": 3.6647454505713963e-06, + "loss": 0.841, + "step": 20371 + }, + { + "epoch": 0.6, + "learning_rate": 3.664286967154383e-06, + "loss": 0.8208, + "step": 20372 + }, + { + "epoch": 0.6, + "learning_rate": 3.663828495831206e-06, + "loss": 0.6356, + "step": 20373 + }, + { + "epoch": 0.6, + "learning_rate": 3.6633700366060136e-06, + "loss": 0.8051, + "step": 20374 + }, + { + "epoch": 0.6, + "learning_rate": 3.6629115894829576e-06, + "loss": 0.7285, + "step": 20375 + }, + { + "epoch": 0.6, + "learning_rate": 3.662453154466188e-06, + "loss": 0.7565, + "step": 20376 + }, + { + "epoch": 0.6, + "learning_rate": 3.661994731559856e-06, + "loss": 0.6176, + "step": 20377 + }, + { + "epoch": 0.6, + "learning_rate": 3.661536320768112e-06, + "loss": 0.7497, + "step": 20378 + }, + { + "epoch": 0.6, + "learning_rate": 3.6610779220951075e-06, + "loss": 0.6507, + "step": 20379 + }, + { + "epoch": 0.6, + "learning_rate": 3.6606195355449916e-06, + "loss": 0.9004, + "step": 20380 + }, + { + "epoch": 0.6, + "learning_rate": 3.6601611611219157e-06, + "loss": 0.6486, + "step": 20381 + }, + { + "epoch": 0.6, + "learning_rate": 3.659702798830027e-06, + "loss": 0.6528, + "step": 20382 + }, + { + "epoch": 0.6, + "learning_rate": 3.65924444867348e-06, + "loss": 0.6747, + "step": 20383 + }, + { + "epoch": 0.6, + "learning_rate": 3.6587861106564237e-06, + "loss": 0.721, + "step": 20384 + }, + { + "epoch": 0.6, + "learning_rate": 3.6583277847830068e-06, + "loss": 0.7391, + "step": 20385 + }, + { + "epoch": 0.6, + "learning_rate": 3.6578694710573793e-06, + "loss": 0.6363, + "step": 20386 + }, + { + "epoch": 0.6, + "learning_rate": 3.6574111694836923e-06, + "loss": 0.928, + "step": 20387 + }, + { + "epoch": 0.6, + "learning_rate": 3.6569528800660923e-06, + "loss": 0.76, + "step": 20388 + }, + { + "epoch": 0.6, + "learning_rate": 3.6564946028087316e-06, + "loss": 0.9892, + "step": 20389 + }, + { + "epoch": 0.6, + "learning_rate": 3.6560363377157583e-06, + "loss": 0.8389, + "step": 20390 + }, + { + "epoch": 0.6, + "learning_rate": 3.6555780847913214e-06, + "loss": 0.635, + "step": 20391 + }, + { + "epoch": 0.6, + "learning_rate": 3.6551198440395687e-06, + "loss": 0.6017, + "step": 20392 + }, + { + "epoch": 0.6, + "learning_rate": 3.654661615464652e-06, + "loss": 0.7792, + "step": 20393 + }, + { + "epoch": 0.6, + "learning_rate": 3.6542033990707203e-06, + "loss": 0.7996, + "step": 20394 + }, + { + "epoch": 0.6, + "learning_rate": 3.6537451948619205e-06, + "loss": 0.803, + "step": 20395 + }, + { + "epoch": 0.6, + "learning_rate": 3.653287002842403e-06, + "loss": 0.5766, + "step": 20396 + }, + { + "epoch": 0.6, + "learning_rate": 3.6528288230163143e-06, + "loss": 0.5791, + "step": 20397 + }, + { + "epoch": 0.6, + "learning_rate": 3.6523706553878046e-06, + "loss": 0.622, + "step": 20398 + }, + { + "epoch": 0.6, + "learning_rate": 3.651912499961021e-06, + "loss": 0.5488, + "step": 20399 + }, + { + "epoch": 0.6, + "learning_rate": 3.651454356740113e-06, + "loss": 0.591, + "step": 20400 + }, + { + "epoch": 0.6, + "learning_rate": 3.6509962257292276e-06, + "loss": 0.6388, + "step": 20401 + }, + { + "epoch": 0.6, + "learning_rate": 3.650538106932511e-06, + "loss": 0.7504, + "step": 20402 + }, + { + "epoch": 0.6, + "learning_rate": 3.650080000354116e-06, + "loss": 0.5294, + "step": 20403 + }, + { + "epoch": 0.6, + "learning_rate": 3.6496219059981867e-06, + "loss": 0.593, + "step": 20404 + }, + { + "epoch": 0.6, + "learning_rate": 3.649163823868873e-06, + "loss": 0.6678, + "step": 20405 + }, + { + "epoch": 0.6, + "learning_rate": 3.6487057539703206e-06, + "loss": 0.6491, + "step": 20406 + }, + { + "epoch": 0.6, + "learning_rate": 3.6482476963066783e-06, + "loss": 0.9457, + "step": 20407 + }, + { + "epoch": 0.6, + "learning_rate": 3.6477896508820925e-06, + "loss": 0.6692, + "step": 20408 + }, + { + "epoch": 0.6, + "learning_rate": 3.647331617700711e-06, + "loss": 0.6303, + "step": 20409 + }, + { + "epoch": 0.6, + "learning_rate": 3.64687359676668e-06, + "loss": 0.7458, + "step": 20410 + }, + { + "epoch": 0.6, + "learning_rate": 3.646415588084148e-06, + "loss": 0.5998, + "step": 20411 + }, + { + "epoch": 0.6, + "learning_rate": 3.6459575916572598e-06, + "loss": 0.7522, + "step": 20412 + }, + { + "epoch": 0.6, + "learning_rate": 3.645499607490165e-06, + "loss": 0.3776, + "step": 20413 + }, + { + "epoch": 0.6, + "learning_rate": 3.6450416355870084e-06, + "loss": 0.6236, + "step": 20414 + }, + { + "epoch": 0.6, + "learning_rate": 3.644583675951937e-06, + "loss": 0.779, + "step": 20415 + }, + { + "epoch": 0.6, + "learning_rate": 3.6441257285890976e-06, + "loss": 0.4341, + "step": 20416 + }, + { + "epoch": 0.6, + "learning_rate": 3.6436677935026356e-06, + "loss": 0.8331, + "step": 20417 + }, + { + "epoch": 0.6, + "learning_rate": 3.6432098706966983e-06, + "loss": 0.6495, + "step": 20418 + }, + { + "epoch": 0.6, + "learning_rate": 3.6427519601754314e-06, + "loss": 0.5314, + "step": 20419 + }, + { + "epoch": 0.6, + "learning_rate": 3.6422940619429812e-06, + "loss": 0.5319, + "step": 20420 + }, + { + "epoch": 0.6, + "learning_rate": 3.6418361760034906e-06, + "loss": 0.8528, + "step": 20421 + }, + { + "epoch": 0.6, + "learning_rate": 3.6413783023611103e-06, + "loss": 0.4927, + "step": 20422 + }, + { + "epoch": 0.6, + "learning_rate": 3.6409204410199846e-06, + "loss": 1.0473, + "step": 20423 + }, + { + "epoch": 0.6, + "learning_rate": 3.6404625919842574e-06, + "loss": 0.6373, + "step": 20424 + }, + { + "epoch": 0.6, + "learning_rate": 3.640004755258075e-06, + "loss": 0.5586, + "step": 20425 + }, + { + "epoch": 0.6, + "learning_rate": 3.6395469308455835e-06, + "loss": 0.7472, + "step": 20426 + }, + { + "epoch": 0.6, + "learning_rate": 3.639089118750927e-06, + "loss": 0.8148, + "step": 20427 + }, + { + "epoch": 0.6, + "learning_rate": 3.638631318978252e-06, + "loss": 0.9032, + "step": 20428 + }, + { + "epoch": 0.6, + "learning_rate": 3.638173531531701e-06, + "loss": 0.6778, + "step": 20429 + }, + { + "epoch": 0.6, + "learning_rate": 3.637715756415422e-06, + "loss": 0.8212, + "step": 20430 + }, + { + "epoch": 0.6, + "learning_rate": 3.637257993633556e-06, + "loss": 0.612, + "step": 20431 + }, + { + "epoch": 0.6, + "learning_rate": 3.6368002431902514e-06, + "loss": 0.6114, + "step": 20432 + }, + { + "epoch": 0.6, + "learning_rate": 3.636342505089652e-06, + "loss": 0.8587, + "step": 20433 + }, + { + "epoch": 0.6, + "learning_rate": 3.635884779335901e-06, + "loss": 0.8738, + "step": 20434 + }, + { + "epoch": 0.6, + "learning_rate": 3.6354270659331438e-06, + "loss": 0.7598, + "step": 20435 + }, + { + "epoch": 0.6, + "learning_rate": 3.634969364885523e-06, + "loss": 0.6818, + "step": 20436 + }, + { + "epoch": 0.6, + "learning_rate": 3.6345116761971856e-06, + "loss": 0.9387, + "step": 20437 + }, + { + "epoch": 0.6, + "learning_rate": 3.634053999872273e-06, + "loss": 0.7205, + "step": 20438 + }, + { + "epoch": 0.6, + "learning_rate": 3.63359633591493e-06, + "loss": 0.6934, + "step": 20439 + }, + { + "epoch": 0.6, + "learning_rate": 3.6331386843293003e-06, + "loss": 0.8856, + "step": 20440 + }, + { + "epoch": 0.6, + "learning_rate": 3.6326810451195262e-06, + "loss": 0.473, + "step": 20441 + }, + { + "epoch": 0.6, + "learning_rate": 3.632223418289754e-06, + "loss": 0.6035, + "step": 20442 + }, + { + "epoch": 0.6, + "learning_rate": 3.6317658038441275e-06, + "loss": 0.6813, + "step": 20443 + }, + { + "epoch": 0.6, + "learning_rate": 3.631308201786787e-06, + "loss": 0.7331, + "step": 20444 + }, + { + "epoch": 0.6, + "learning_rate": 3.6308506121218777e-06, + "loss": 0.8546, + "step": 20445 + }, + { + "epoch": 0.6, + "learning_rate": 3.630393034853542e-06, + "loss": 0.771, + "step": 20446 + }, + { + "epoch": 0.6, + "learning_rate": 3.629935469985923e-06, + "loss": 0.8354, + "step": 20447 + }, + { + "epoch": 0.6, + "learning_rate": 3.6294779175231635e-06, + "loss": 0.5307, + "step": 20448 + }, + { + "epoch": 0.6, + "learning_rate": 3.629020377469407e-06, + "loss": 0.6329, + "step": 20449 + }, + { + "epoch": 0.6, + "learning_rate": 3.6285628498287956e-06, + "loss": 0.9198, + "step": 20450 + }, + { + "epoch": 0.6, + "learning_rate": 3.6281053346054707e-06, + "loss": 0.976, + "step": 20451 + }, + { + "epoch": 0.6, + "learning_rate": 3.627647831803577e-06, + "loss": 1.1242, + "step": 20452 + }, + { + "epoch": 0.6, + "learning_rate": 3.627190341427256e-06, + "loss": 0.7323, + "step": 20453 + }, + { + "epoch": 0.6, + "learning_rate": 3.6267328634806487e-06, + "loss": 0.6794, + "step": 20454 + }, + { + "epoch": 0.6, + "learning_rate": 3.626275397967899e-06, + "loss": 0.844, + "step": 20455 + }, + { + "epoch": 0.6, + "learning_rate": 3.625817944893148e-06, + "loss": 0.8488, + "step": 20456 + }, + { + "epoch": 0.6, + "learning_rate": 3.625360504260538e-06, + "loss": 0.8137, + "step": 20457 + }, + { + "epoch": 0.6, + "learning_rate": 3.6249030760742094e-06, + "loss": 0.7684, + "step": 20458 + }, + { + "epoch": 0.6, + "learning_rate": 3.6244456603383054e-06, + "loss": 0.9409, + "step": 20459 + }, + { + "epoch": 0.6, + "learning_rate": 3.6239882570569672e-06, + "loss": 0.9721, + "step": 20460 + }, + { + "epoch": 0.6, + "learning_rate": 3.623530866234334e-06, + "loss": 0.7814, + "step": 20461 + }, + { + "epoch": 0.6, + "learning_rate": 3.6230734878745507e-06, + "loss": 0.7907, + "step": 20462 + }, + { + "epoch": 0.6, + "learning_rate": 3.6226161219817567e-06, + "loss": 0.9232, + "step": 20463 + }, + { + "epoch": 0.6, + "learning_rate": 3.6221587685600944e-06, + "loss": 0.6703, + "step": 20464 + }, + { + "epoch": 0.6, + "learning_rate": 3.621701427613703e-06, + "loss": 0.8147, + "step": 20465 + }, + { + "epoch": 0.6, + "learning_rate": 3.6212440991467245e-06, + "loss": 0.4586, + "step": 20466 + }, + { + "epoch": 0.6, + "learning_rate": 3.620786783163299e-06, + "loss": 0.5417, + "step": 20467 + }, + { + "epoch": 0.6, + "learning_rate": 3.620329479667567e-06, + "loss": 0.9788, + "step": 20468 + }, + { + "epoch": 0.6, + "learning_rate": 3.61987218866367e-06, + "loss": 0.8671, + "step": 20469 + }, + { + "epoch": 0.6, + "learning_rate": 3.6194149101557474e-06, + "loss": 0.6785, + "step": 20470 + }, + { + "epoch": 0.6, + "learning_rate": 3.618957644147939e-06, + "loss": 0.8176, + "step": 20471 + }, + { + "epoch": 0.6, + "learning_rate": 3.618500390644387e-06, + "loss": 0.7354, + "step": 20472 + }, + { + "epoch": 0.6, + "learning_rate": 3.618043149649231e-06, + "loss": 0.5796, + "step": 20473 + }, + { + "epoch": 0.6, + "learning_rate": 3.6175859211666096e-06, + "loss": 0.7397, + "step": 20474 + }, + { + "epoch": 0.6, + "learning_rate": 3.6171287052006633e-06, + "loss": 0.7735, + "step": 20475 + }, + { + "epoch": 0.6, + "learning_rate": 3.616671501755532e-06, + "loss": 0.6638, + "step": 20476 + }, + { + "epoch": 0.6, + "learning_rate": 3.616214310835355e-06, + "loss": 0.7545, + "step": 20477 + }, + { + "epoch": 0.6, + "learning_rate": 3.6157571324442727e-06, + "loss": 0.5789, + "step": 20478 + }, + { + "epoch": 0.6, + "learning_rate": 3.615299966586423e-06, + "loss": 0.7684, + "step": 20479 + }, + { + "epoch": 0.6, + "learning_rate": 3.614842813265944e-06, + "loss": 0.6584, + "step": 20480 + }, + { + "epoch": 0.6, + "learning_rate": 3.6143856724869798e-06, + "loss": 0.6106, + "step": 20481 + }, + { + "epoch": 0.6, + "learning_rate": 3.6139285442536652e-06, + "loss": 0.6362, + "step": 20482 + }, + { + "epoch": 0.6, + "learning_rate": 3.6134714285701416e-06, + "loss": 0.563, + "step": 20483 + }, + { + "epoch": 0.6, + "learning_rate": 3.6130143254405462e-06, + "loss": 0.6389, + "step": 20484 + }, + { + "epoch": 0.6, + "learning_rate": 3.6125572348690186e-06, + "loss": 0.6473, + "step": 20485 + }, + { + "epoch": 0.6, + "learning_rate": 3.6121001568596963e-06, + "loss": 0.6832, + "step": 20486 + }, + { + "epoch": 0.6, + "learning_rate": 3.611643091416719e-06, + "loss": 0.6998, + "step": 20487 + }, + { + "epoch": 0.6, + "learning_rate": 3.6111860385442244e-06, + "loss": 0.8569, + "step": 20488 + }, + { + "epoch": 0.6, + "learning_rate": 3.61072899824635e-06, + "loss": 0.7381, + "step": 20489 + }, + { + "epoch": 0.6, + "learning_rate": 3.610271970527235e-06, + "loss": 0.7787, + "step": 20490 + }, + { + "epoch": 0.6, + "learning_rate": 3.609814955391018e-06, + "loss": 0.5168, + "step": 20491 + }, + { + "epoch": 0.6, + "learning_rate": 3.6093579528418356e-06, + "loss": 0.5283, + "step": 20492 + }, + { + "epoch": 0.6, + "learning_rate": 3.6089009628838265e-06, + "loss": 0.5358, + "step": 20493 + }, + { + "epoch": 0.6, + "learning_rate": 3.6084439855211284e-06, + "loss": 0.9386, + "step": 20494 + }, + { + "epoch": 0.6, + "learning_rate": 3.607987020757878e-06, + "loss": 0.7369, + "step": 20495 + }, + { + "epoch": 0.6, + "learning_rate": 3.6075300685982136e-06, + "loss": 0.6517, + "step": 20496 + }, + { + "epoch": 0.6, + "learning_rate": 3.6070731290462717e-06, + "loss": 0.6747, + "step": 20497 + }, + { + "epoch": 0.6, + "learning_rate": 3.606616202106191e-06, + "loss": 0.7064, + "step": 20498 + }, + { + "epoch": 0.6, + "learning_rate": 3.606159287782107e-06, + "loss": 0.618, + "step": 20499 + }, + { + "epoch": 0.6, + "learning_rate": 3.605702386078155e-06, + "loss": 0.8336, + "step": 20500 + }, + { + "epoch": 0.6, + "learning_rate": 3.6052454969984766e-06, + "loss": 0.6758, + "step": 20501 + }, + { + "epoch": 0.6, + "learning_rate": 3.6047886205472066e-06, + "loss": 1.1382, + "step": 20502 + }, + { + "epoch": 0.6, + "learning_rate": 3.604331756728481e-06, + "loss": 0.6895, + "step": 20503 + }, + { + "epoch": 0.6, + "learning_rate": 3.603874905546437e-06, + "loss": 0.5798, + "step": 20504 + }, + { + "epoch": 0.6, + "learning_rate": 3.6034180670052098e-06, + "loss": 0.5875, + "step": 20505 + }, + { + "epoch": 0.6, + "learning_rate": 3.6029612411089377e-06, + "loss": 0.7049, + "step": 20506 + }, + { + "epoch": 0.6, + "learning_rate": 3.602504427861755e-06, + "loss": 0.766, + "step": 20507 + }, + { + "epoch": 0.6, + "learning_rate": 3.6020476272677984e-06, + "loss": 0.6526, + "step": 20508 + }, + { + "epoch": 0.6, + "learning_rate": 3.601590839331205e-06, + "loss": 0.8234, + "step": 20509 + }, + { + "epoch": 0.6, + "learning_rate": 3.6011340640561075e-06, + "loss": 0.5254, + "step": 20510 + }, + { + "epoch": 0.6, + "learning_rate": 3.600677301446646e-06, + "loss": 0.6544, + "step": 20511 + }, + { + "epoch": 0.6, + "learning_rate": 3.6002205515069526e-06, + "loss": 0.7221, + "step": 20512 + }, + { + "epoch": 0.6, + "learning_rate": 3.599763814241165e-06, + "loss": 0.6696, + "step": 20513 + }, + { + "epoch": 0.6, + "learning_rate": 3.5993070896534175e-06, + "loss": 0.8588, + "step": 20514 + }, + { + "epoch": 0.6, + "learning_rate": 3.5988503777478457e-06, + "loss": 0.6262, + "step": 20515 + }, + { + "epoch": 0.6, + "learning_rate": 3.598393678528585e-06, + "loss": 0.5089, + "step": 20516 + }, + { + "epoch": 0.6, + "learning_rate": 3.59793699199977e-06, + "loss": 0.5747, + "step": 20517 + }, + { + "epoch": 0.6, + "learning_rate": 3.597480318165536e-06, + "loss": 0.8664, + "step": 20518 + }, + { + "epoch": 0.6, + "learning_rate": 3.597023657030017e-06, + "loss": 0.7268, + "step": 20519 + }, + { + "epoch": 0.6, + "learning_rate": 3.596567008597347e-06, + "loss": 0.8733, + "step": 20520 + }, + { + "epoch": 0.6, + "learning_rate": 3.5961103728716635e-06, + "loss": 0.6522, + "step": 20521 + }, + { + "epoch": 0.6, + "learning_rate": 3.5956537498571e-06, + "loss": 0.6465, + "step": 20522 + }, + { + "epoch": 0.6, + "learning_rate": 3.5951971395577896e-06, + "loss": 0.8989, + "step": 20523 + }, + { + "epoch": 0.6, + "learning_rate": 3.594740541977867e-06, + "loss": 0.3828, + "step": 20524 + }, + { + "epoch": 0.6, + "learning_rate": 3.5942839571214673e-06, + "loss": 0.7022, + "step": 20525 + }, + { + "epoch": 0.6, + "learning_rate": 3.5938273849927235e-06, + "loss": 0.8428, + "step": 20526 + }, + { + "epoch": 0.6, + "learning_rate": 3.59337082559577e-06, + "loss": 0.8374, + "step": 20527 + }, + { + "epoch": 0.6, + "learning_rate": 3.5929142789347397e-06, + "loss": 0.7583, + "step": 20528 + }, + { + "epoch": 0.6, + "learning_rate": 3.5924577450137675e-06, + "loss": 0.69, + "step": 20529 + }, + { + "epoch": 0.6, + "learning_rate": 3.592001223836985e-06, + "loss": 0.8312, + "step": 20530 + }, + { + "epoch": 0.6, + "learning_rate": 3.5915447154085286e-06, + "loss": 0.6958, + "step": 20531 + }, + { + "epoch": 0.6, + "learning_rate": 3.5910882197325297e-06, + "loss": 0.5039, + "step": 20532 + }, + { + "epoch": 0.6, + "learning_rate": 3.5906317368131215e-06, + "loss": 0.9352, + "step": 20533 + }, + { + "epoch": 0.6, + "learning_rate": 3.590175266654438e-06, + "loss": 0.6932, + "step": 20534 + }, + { + "epoch": 0.6, + "learning_rate": 3.5897188092606118e-06, + "loss": 0.7443, + "step": 20535 + }, + { + "epoch": 0.6, + "learning_rate": 3.589262364635775e-06, + "loss": 0.9111, + "step": 20536 + }, + { + "epoch": 0.6, + "learning_rate": 3.5888059327840617e-06, + "loss": 0.7146, + "step": 20537 + }, + { + "epoch": 0.6, + "learning_rate": 3.588349513709603e-06, + "loss": 0.5474, + "step": 20538 + }, + { + "epoch": 0.6, + "learning_rate": 3.5878931074165323e-06, + "loss": 0.6281, + "step": 20539 + }, + { + "epoch": 0.6, + "learning_rate": 3.5874367139089805e-06, + "loss": 0.4822, + "step": 20540 + }, + { + "epoch": 0.6, + "learning_rate": 3.5869803331910824e-06, + "loss": 0.6599, + "step": 20541 + }, + { + "epoch": 0.6, + "learning_rate": 3.5865239652669703e-06, + "loss": 0.8085, + "step": 20542 + }, + { + "epoch": 0.6, + "learning_rate": 3.5860676101407742e-06, + "loss": 0.7628, + "step": 20543 + }, + { + "epoch": 0.6, + "learning_rate": 3.5856112678166265e-06, + "loss": 0.7356, + "step": 20544 + }, + { + "epoch": 0.6, + "learning_rate": 3.58515493829866e-06, + "loss": 0.92, + "step": 20545 + }, + { + "epoch": 0.6, + "learning_rate": 3.5846986215910055e-06, + "loss": 0.659, + "step": 20546 + }, + { + "epoch": 0.6, + "learning_rate": 3.5842423176977946e-06, + "loss": 0.8693, + "step": 20547 + }, + { + "epoch": 0.6, + "learning_rate": 3.58378602662316e-06, + "loss": 0.8096, + "step": 20548 + }, + { + "epoch": 0.6, + "learning_rate": 3.5833297483712304e-06, + "loss": 0.9647, + "step": 20549 + }, + { + "epoch": 0.6, + "learning_rate": 3.58287348294614e-06, + "loss": 1.2261, + "step": 20550 + }, + { + "epoch": 0.6, + "learning_rate": 3.5824172303520182e-06, + "loss": 0.6555, + "step": 20551 + }, + { + "epoch": 0.6, + "learning_rate": 3.581960990592997e-06, + "loss": 1.0451, + "step": 20552 + }, + { + "epoch": 0.6, + "learning_rate": 3.5815047636732065e-06, + "loss": 0.8653, + "step": 20553 + }, + { + "epoch": 0.6, + "learning_rate": 3.5810485495967774e-06, + "loss": 0.6559, + "step": 20554 + }, + { + "epoch": 0.6, + "learning_rate": 3.5805923483678413e-06, + "loss": 0.8817, + "step": 20555 + }, + { + "epoch": 0.6, + "learning_rate": 3.580136159990528e-06, + "loss": 0.6417, + "step": 20556 + }, + { + "epoch": 0.6, + "learning_rate": 3.579679984468968e-06, + "loss": 0.9506, + "step": 20557 + }, + { + "epoch": 0.6, + "learning_rate": 3.5792238218072917e-06, + "loss": 0.8792, + "step": 20558 + }, + { + "epoch": 0.6, + "learning_rate": 3.578767672009627e-06, + "loss": 0.7025, + "step": 20559 + }, + { + "epoch": 0.6, + "learning_rate": 3.578311535080109e-06, + "loss": 0.5479, + "step": 20560 + }, + { + "epoch": 0.6, + "learning_rate": 3.577855411022864e-06, + "loss": 0.7251, + "step": 20561 + }, + { + "epoch": 0.6, + "learning_rate": 3.5773992998420235e-06, + "loss": 0.7484, + "step": 20562 + }, + { + "epoch": 0.6, + "learning_rate": 3.576943201541716e-06, + "loss": 0.7025, + "step": 20563 + }, + { + "epoch": 0.6, + "learning_rate": 3.5764871161260718e-06, + "loss": 0.7877, + "step": 20564 + }, + { + "epoch": 0.6, + "learning_rate": 3.5760310435992205e-06, + "loss": 0.6594, + "step": 20565 + }, + { + "epoch": 0.6, + "learning_rate": 3.5755749839652907e-06, + "loss": 0.6003, + "step": 20566 + }, + { + "epoch": 0.6, + "learning_rate": 3.5751189372284124e-06, + "loss": 0.6539, + "step": 20567 + }, + { + "epoch": 0.6, + "learning_rate": 3.574662903392715e-06, + "loss": 1.0324, + "step": 20568 + }, + { + "epoch": 0.6, + "learning_rate": 3.5742068824623248e-06, + "loss": 1.0165, + "step": 20569 + }, + { + "epoch": 0.6, + "learning_rate": 3.573750874441375e-06, + "loss": 0.635, + "step": 20570 + }, + { + "epoch": 0.6, + "learning_rate": 3.5732948793339918e-06, + "loss": 0.6494, + "step": 20571 + }, + { + "epoch": 0.6, + "learning_rate": 3.5728388971443046e-06, + "loss": 0.5817, + "step": 20572 + }, + { + "epoch": 0.6, + "learning_rate": 3.5723829278764422e-06, + "loss": 0.733, + "step": 20573 + }, + { + "epoch": 0.6, + "learning_rate": 3.5719269715345317e-06, + "loss": 0.8104, + "step": 20574 + }, + { + "epoch": 0.6, + "learning_rate": 3.571471028122703e-06, + "loss": 0.7819, + "step": 20575 + }, + { + "epoch": 0.6, + "learning_rate": 3.571015097645083e-06, + "loss": 0.7703, + "step": 20576 + }, + { + "epoch": 0.6, + "learning_rate": 3.5705591801058015e-06, + "loss": 0.8389, + "step": 20577 + }, + { + "epoch": 0.6, + "learning_rate": 3.5701032755089843e-06, + "loss": 0.6669, + "step": 20578 + }, + { + "epoch": 0.6, + "learning_rate": 3.5696473838587586e-06, + "loss": 0.5782, + "step": 20579 + }, + { + "epoch": 0.6, + "learning_rate": 3.5691915051592562e-06, + "loss": 0.7518, + "step": 20580 + }, + { + "epoch": 0.6, + "learning_rate": 3.5687356394146028e-06, + "loss": 0.8776, + "step": 20581 + }, + { + "epoch": 0.6, + "learning_rate": 3.5682797866289253e-06, + "loss": 0.7814, + "step": 20582 + }, + { + "epoch": 0.6, + "learning_rate": 3.5678239468063514e-06, + "loss": 0.9994, + "step": 20583 + }, + { + "epoch": 0.6, + "learning_rate": 3.567368119951008e-06, + "loss": 0.7684, + "step": 20584 + }, + { + "epoch": 0.6, + "learning_rate": 3.5669123060670224e-06, + "loss": 0.5689, + "step": 20585 + }, + { + "epoch": 0.6, + "learning_rate": 3.566456505158522e-06, + "loss": 0.7588, + "step": 20586 + }, + { + "epoch": 0.6, + "learning_rate": 3.5660007172296342e-06, + "loss": 0.558, + "step": 20587 + }, + { + "epoch": 0.6, + "learning_rate": 3.565544942284484e-06, + "loss": 0.6813, + "step": 20588 + }, + { + "epoch": 0.6, + "learning_rate": 3.5650891803271988e-06, + "loss": 0.7028, + "step": 20589 + }, + { + "epoch": 0.6, + "learning_rate": 3.5646334313619062e-06, + "loss": 0.7358, + "step": 20590 + }, + { + "epoch": 0.6, + "learning_rate": 3.5641776953927325e-06, + "loss": 0.5886, + "step": 20591 + }, + { + "epoch": 0.6, + "learning_rate": 3.5637219724238036e-06, + "loss": 0.5825, + "step": 20592 + }, + { + "epoch": 0.6, + "learning_rate": 3.5632662624592452e-06, + "loss": 0.7305, + "step": 20593 + }, + { + "epoch": 0.61, + "learning_rate": 3.5628105655031843e-06, + "loss": 0.6434, + "step": 20594 + }, + { + "epoch": 0.61, + "learning_rate": 3.5623548815597466e-06, + "loss": 0.403, + "step": 20595 + }, + { + "epoch": 0.61, + "learning_rate": 3.5618992106330576e-06, + "loss": 0.6979, + "step": 20596 + }, + { + "epoch": 0.61, + "learning_rate": 3.561443552727243e-06, + "loss": 0.6171, + "step": 20597 + }, + { + "epoch": 0.61, + "learning_rate": 3.5609879078464283e-06, + "loss": 0.8515, + "step": 20598 + }, + { + "epoch": 0.61, + "learning_rate": 3.560532275994738e-06, + "loss": 0.7229, + "step": 20599 + }, + { + "epoch": 0.61, + "learning_rate": 3.5600766571763005e-06, + "loss": 0.6077, + "step": 20600 + }, + { + "epoch": 0.61, + "learning_rate": 3.55962105139524e-06, + "loss": 0.6076, + "step": 20601 + }, + { + "epoch": 0.61, + "learning_rate": 3.5591654586556806e-06, + "loss": 0.6496, + "step": 20602 + }, + { + "epoch": 0.61, + "learning_rate": 3.558709878961748e-06, + "loss": 0.6434, + "step": 20603 + }, + { + "epoch": 0.61, + "learning_rate": 3.5582543123175672e-06, + "loss": 0.8152, + "step": 20604 + }, + { + "epoch": 0.61, + "learning_rate": 3.557798758727262e-06, + "loss": 0.7088, + "step": 20605 + }, + { + "epoch": 0.61, + "learning_rate": 3.5573432181949587e-06, + "loss": 0.8058, + "step": 20606 + }, + { + "epoch": 0.61, + "learning_rate": 3.5568876907247805e-06, + "loss": 0.5946, + "step": 20607 + }, + { + "epoch": 0.61, + "learning_rate": 3.5564321763208525e-06, + "loss": 0.5244, + "step": 20608 + }, + { + "epoch": 0.61, + "learning_rate": 3.555976674987298e-06, + "loss": 0.8572, + "step": 20609 + }, + { + "epoch": 0.61, + "learning_rate": 3.5555211867282426e-06, + "loss": 0.7531, + "step": 20610 + }, + { + "epoch": 0.61, + "learning_rate": 3.5550657115478104e-06, + "loss": 0.7678, + "step": 20611 + }, + { + "epoch": 0.61, + "learning_rate": 3.5546102494501244e-06, + "loss": 0.8066, + "step": 20612 + }, + { + "epoch": 0.61, + "learning_rate": 3.554154800439309e-06, + "loss": 0.7795, + "step": 20613 + }, + { + "epoch": 0.61, + "learning_rate": 3.5536993645194876e-06, + "loss": 0.9203, + "step": 20614 + }, + { + "epoch": 0.61, + "learning_rate": 3.5532439416947845e-06, + "loss": 0.6194, + "step": 20615 + }, + { + "epoch": 0.61, + "learning_rate": 3.552788531969322e-06, + "loss": 0.7248, + "step": 20616 + }, + { + "epoch": 0.61, + "learning_rate": 3.552333135347225e-06, + "loss": 0.797, + "step": 20617 + }, + { + "epoch": 0.61, + "learning_rate": 3.5518777518326136e-06, + "loss": 0.4983, + "step": 20618 + }, + { + "epoch": 0.61, + "learning_rate": 3.5514223814296157e-06, + "loss": 0.7834, + "step": 20619 + }, + { + "epoch": 0.61, + "learning_rate": 3.550967024142351e-06, + "loss": 0.9869, + "step": 20620 + }, + { + "epoch": 0.61, + "learning_rate": 3.550511679974944e-06, + "loss": 0.4412, + "step": 20621 + }, + { + "epoch": 0.61, + "learning_rate": 3.5500563489315166e-06, + "loss": 0.6645, + "step": 20622 + }, + { + "epoch": 0.61, + "learning_rate": 3.549601031016192e-06, + "loss": 0.8174, + "step": 20623 + }, + { + "epoch": 0.61, + "learning_rate": 3.549145726233092e-06, + "loss": 0.6793, + "step": 20624 + }, + { + "epoch": 0.61, + "learning_rate": 3.5486904345863397e-06, + "loss": 0.5453, + "step": 20625 + }, + { + "epoch": 0.61, + "learning_rate": 3.548235156080057e-06, + "loss": 0.7318, + "step": 20626 + }, + { + "epoch": 0.61, + "learning_rate": 3.5477798907183664e-06, + "loss": 0.7163, + "step": 20627 + }, + { + "epoch": 0.61, + "learning_rate": 3.5473246385053883e-06, + "loss": 0.3773, + "step": 20628 + }, + { + "epoch": 0.61, + "learning_rate": 3.546869399445248e-06, + "loss": 0.7488, + "step": 20629 + }, + { + "epoch": 0.61, + "learning_rate": 3.5464141735420656e-06, + "loss": 0.7556, + "step": 20630 + }, + { + "epoch": 0.61, + "learning_rate": 3.545958960799962e-06, + "loss": 0.9452, + "step": 20631 + }, + { + "epoch": 0.61, + "learning_rate": 3.545503761223059e-06, + "loss": 0.7584, + "step": 20632 + }, + { + "epoch": 0.61, + "learning_rate": 3.5450485748154794e-06, + "loss": 0.7571, + "step": 20633 + }, + { + "epoch": 0.61, + "learning_rate": 3.5445934015813446e-06, + "loss": 0.407, + "step": 20634 + }, + { + "epoch": 0.61, + "learning_rate": 3.544138241524774e-06, + "loss": 0.8038, + "step": 20635 + }, + { + "epoch": 0.61, + "learning_rate": 3.543683094649889e-06, + "loss": 0.5915, + "step": 20636 + }, + { + "epoch": 0.61, + "learning_rate": 3.5432279609608124e-06, + "loss": 0.5214, + "step": 20637 + }, + { + "epoch": 0.61, + "learning_rate": 3.5427728404616613e-06, + "loss": 0.9981, + "step": 20638 + }, + { + "epoch": 0.61, + "learning_rate": 3.542317733156561e-06, + "loss": 0.7023, + "step": 20639 + }, + { + "epoch": 0.61, + "learning_rate": 3.5418626390496306e-06, + "loss": 0.5847, + "step": 20640 + }, + { + "epoch": 0.61, + "learning_rate": 3.54140755814499e-06, + "loss": 0.8646, + "step": 20641 + }, + { + "epoch": 0.61, + "learning_rate": 3.5409524904467606e-06, + "loss": 0.5193, + "step": 20642 + }, + { + "epoch": 0.61, + "learning_rate": 3.5404974359590615e-06, + "loss": 0.7628, + "step": 20643 + }, + { + "epoch": 0.61, + "learning_rate": 3.540042394686014e-06, + "loss": 0.4546, + "step": 20644 + }, + { + "epoch": 0.61, + "learning_rate": 3.539587366631737e-06, + "loss": 0.7543, + "step": 20645 + }, + { + "epoch": 0.61, + "learning_rate": 3.5391323518003507e-06, + "loss": 0.3815, + "step": 20646 + }, + { + "epoch": 0.61, + "learning_rate": 3.538677350195975e-06, + "loss": 0.623, + "step": 20647 + }, + { + "epoch": 0.61, + "learning_rate": 3.538222361822729e-06, + "loss": 1.1186, + "step": 20648 + }, + { + "epoch": 0.61, + "learning_rate": 3.537767386684734e-06, + "loss": 0.8351, + "step": 20649 + }, + { + "epoch": 0.61, + "learning_rate": 3.5373124247861077e-06, + "loss": 0.7875, + "step": 20650 + }, + { + "epoch": 0.61, + "learning_rate": 3.536857476130971e-06, + "loss": 0.7274, + "step": 20651 + }, + { + "epoch": 0.61, + "learning_rate": 3.5364025407234416e-06, + "loss": 0.7242, + "step": 20652 + }, + { + "epoch": 0.61, + "learning_rate": 3.5359476185676396e-06, + "loss": 0.6207, + "step": 20653 + }, + { + "epoch": 0.61, + "learning_rate": 3.5354927096676835e-06, + "loss": 0.8982, + "step": 20654 + }, + { + "epoch": 0.61, + "learning_rate": 3.535037814027692e-06, + "loss": 0.6467, + "step": 20655 + }, + { + "epoch": 0.61, + "learning_rate": 3.5345829316517843e-06, + "loss": 0.7, + "step": 20656 + }, + { + "epoch": 0.61, + "learning_rate": 3.534128062544078e-06, + "loss": 0.7332, + "step": 20657 + }, + { + "epoch": 0.61, + "learning_rate": 3.533673206708691e-06, + "loss": 0.8319, + "step": 20658 + }, + { + "epoch": 0.61, + "learning_rate": 3.5332183641497453e-06, + "loss": 0.5583, + "step": 20659 + }, + { + "epoch": 0.61, + "learning_rate": 3.5327635348713563e-06, + "loss": 0.4824, + "step": 20660 + }, + { + "epoch": 0.61, + "learning_rate": 3.5323087188776423e-06, + "loss": 0.7689, + "step": 20661 + }, + { + "epoch": 0.61, + "learning_rate": 3.531853916172722e-06, + "loss": 0.6893, + "step": 20662 + }, + { + "epoch": 0.61, + "learning_rate": 3.531399126760713e-06, + "loss": 0.7396, + "step": 20663 + }, + { + "epoch": 0.61, + "learning_rate": 3.530944350645733e-06, + "loss": 0.8523, + "step": 20664 + }, + { + "epoch": 0.61, + "learning_rate": 3.5304895878318994e-06, + "loss": 0.7348, + "step": 20665 + }, + { + "epoch": 0.61, + "learning_rate": 3.5300348383233303e-06, + "loss": 0.8985, + "step": 20666 + }, + { + "epoch": 0.61, + "learning_rate": 3.5295801021241425e-06, + "loss": 0.7442, + "step": 20667 + }, + { + "epoch": 0.61, + "learning_rate": 3.529125379238453e-06, + "loss": 0.5926, + "step": 20668 + }, + { + "epoch": 0.61, + "learning_rate": 3.52867066967038e-06, + "loss": 0.8007, + "step": 20669 + }, + { + "epoch": 0.61, + "learning_rate": 3.5282159734240397e-06, + "loss": 0.6463, + "step": 20670 + }, + { + "epoch": 0.61, + "learning_rate": 3.5277612905035495e-06, + "loss": 0.7119, + "step": 20671 + }, + { + "epoch": 0.61, + "learning_rate": 3.527306620913027e-06, + "loss": 0.9856, + "step": 20672 + }, + { + "epoch": 0.61, + "learning_rate": 3.5268519646565868e-06, + "loss": 0.5891, + "step": 20673 + }, + { + "epoch": 0.61, + "learning_rate": 3.526397321738347e-06, + "loss": 0.5541, + "step": 20674 + }, + { + "epoch": 0.61, + "learning_rate": 3.5259426921624235e-06, + "loss": 0.6286, + "step": 20675 + }, + { + "epoch": 0.61, + "learning_rate": 3.5254880759329323e-06, + "loss": 0.8746, + "step": 20676 + }, + { + "epoch": 0.61, + "learning_rate": 3.5250334730539894e-06, + "loss": 0.5955, + "step": 20677 + }, + { + "epoch": 0.61, + "learning_rate": 3.5245788835297122e-06, + "loss": 0.5655, + "step": 20678 + }, + { + "epoch": 0.61, + "learning_rate": 3.524124307364216e-06, + "loss": 0.872, + "step": 20679 + }, + { + "epoch": 0.61, + "learning_rate": 3.523669744561617e-06, + "loss": 0.7592, + "step": 20680 + }, + { + "epoch": 0.61, + "learning_rate": 3.5232151951260306e-06, + "loss": 0.6897, + "step": 20681 + }, + { + "epoch": 0.61, + "learning_rate": 3.5227606590615713e-06, + "loss": 1.15, + "step": 20682 + }, + { + "epoch": 0.61, + "learning_rate": 3.5223061363723565e-06, + "loss": 0.6057, + "step": 20683 + }, + { + "epoch": 0.61, + "learning_rate": 3.5218516270625e-06, + "loss": 0.7806, + "step": 20684 + }, + { + "epoch": 0.61, + "learning_rate": 3.5213971311361183e-06, + "loss": 0.5212, + "step": 20685 + }, + { + "epoch": 0.61, + "learning_rate": 3.5209426485973257e-06, + "loss": 0.7135, + "step": 20686 + }, + { + "epoch": 0.61, + "learning_rate": 3.520488179450235e-06, + "loss": 0.7099, + "step": 20687 + }, + { + "epoch": 0.61, + "learning_rate": 3.520033723698966e-06, + "loss": 0.7637, + "step": 20688 + }, + { + "epoch": 0.61, + "learning_rate": 3.5195792813476302e-06, + "loss": 0.7417, + "step": 20689 + }, + { + "epoch": 0.61, + "learning_rate": 3.5191248524003428e-06, + "loss": 0.7841, + "step": 20690 + }, + { + "epoch": 0.61, + "learning_rate": 3.518670436861219e-06, + "loss": 0.5706, + "step": 20691 + }, + { + "epoch": 0.61, + "learning_rate": 3.518216034734372e-06, + "loss": 0.4791, + "step": 20692 + }, + { + "epoch": 0.61, + "learning_rate": 3.517761646023916e-06, + "loss": 0.7773, + "step": 20693 + }, + { + "epoch": 0.61, + "learning_rate": 3.517307270733966e-06, + "loss": 0.6452, + "step": 20694 + }, + { + "epoch": 0.61, + "learning_rate": 3.516852908868636e-06, + "loss": 1.044, + "step": 20695 + }, + { + "epoch": 0.61, + "learning_rate": 3.5163985604320395e-06, + "loss": 0.8005, + "step": 20696 + }, + { + "epoch": 0.61, + "learning_rate": 3.5159442254282877e-06, + "loss": 0.8113, + "step": 20697 + }, + { + "epoch": 0.61, + "learning_rate": 3.5154899038614994e-06, + "loss": 0.8301, + "step": 20698 + }, + { + "epoch": 0.61, + "learning_rate": 3.515035595735785e-06, + "loss": 0.712, + "step": 20699 + }, + { + "epoch": 0.61, + "learning_rate": 3.51458130105526e-06, + "loss": 0.7466, + "step": 20700 + }, + { + "epoch": 0.61, + "learning_rate": 3.514127019824035e-06, + "loss": 0.5743, + "step": 20701 + }, + { + "epoch": 0.61, + "learning_rate": 3.5136727520462245e-06, + "loss": 0.9762, + "step": 20702 + }, + { + "epoch": 0.61, + "learning_rate": 3.513218497725942e-06, + "loss": 0.8463, + "step": 20703 + }, + { + "epoch": 0.61, + "learning_rate": 3.5127642568672995e-06, + "loss": 0.8167, + "step": 20704 + }, + { + "epoch": 0.61, + "learning_rate": 3.5123100294744093e-06, + "loss": 0.6422, + "step": 20705 + }, + { + "epoch": 0.61, + "learning_rate": 3.511855815551386e-06, + "loss": 0.8795, + "step": 20706 + }, + { + "epoch": 0.61, + "learning_rate": 3.5114016151023385e-06, + "loss": 0.6724, + "step": 20707 + }, + { + "epoch": 0.61, + "learning_rate": 3.510947428131384e-06, + "loss": 0.6699, + "step": 20708 + }, + { + "epoch": 0.61, + "learning_rate": 3.5104932546426316e-06, + "loss": 0.6131, + "step": 20709 + }, + { + "epoch": 0.61, + "learning_rate": 3.5100390946401964e-06, + "loss": 0.5956, + "step": 20710 + }, + { + "epoch": 0.61, + "learning_rate": 3.509584948128187e-06, + "loss": 0.6359, + "step": 20711 + }, + { + "epoch": 0.61, + "learning_rate": 3.5091308151107174e-06, + "loss": 0.5813, + "step": 20712 + }, + { + "epoch": 0.61, + "learning_rate": 3.5086766955918984e-06, + "loss": 0.7654, + "step": 20713 + }, + { + "epoch": 0.61, + "learning_rate": 3.5082225895758437e-06, + "loss": 0.5748, + "step": 20714 + }, + { + "epoch": 0.61, + "learning_rate": 3.5077684970666624e-06, + "loss": 0.6662, + "step": 20715 + }, + { + "epoch": 0.61, + "learning_rate": 3.5073144180684672e-06, + "loss": 0.4976, + "step": 20716 + }, + { + "epoch": 0.61, + "learning_rate": 3.5068603525853663e-06, + "loss": 0.7108, + "step": 20717 + }, + { + "epoch": 0.61, + "learning_rate": 3.5064063006214753e-06, + "loss": 0.414, + "step": 20718 + }, + { + "epoch": 0.61, + "learning_rate": 3.505952262180905e-06, + "loss": 0.8182, + "step": 20719 + }, + { + "epoch": 0.61, + "learning_rate": 3.505498237267765e-06, + "loss": 0.6965, + "step": 20720 + }, + { + "epoch": 0.61, + "learning_rate": 3.5050442258861656e-06, + "loss": 1.0626, + "step": 20721 + }, + { + "epoch": 0.61, + "learning_rate": 3.5045902280402184e-06, + "loss": 0.7871, + "step": 20722 + }, + { + "epoch": 0.61, + "learning_rate": 3.504136243734033e-06, + "loss": 0.7666, + "step": 20723 + }, + { + "epoch": 0.61, + "learning_rate": 3.5036822729717218e-06, + "loss": 0.6131, + "step": 20724 + }, + { + "epoch": 0.61, + "learning_rate": 3.5032283157573932e-06, + "loss": 0.7978, + "step": 20725 + }, + { + "epoch": 0.61, + "learning_rate": 3.502774372095159e-06, + "loss": 0.5435, + "step": 20726 + }, + { + "epoch": 0.61, + "learning_rate": 3.5023204419891255e-06, + "loss": 0.8047, + "step": 20727 + }, + { + "epoch": 0.61, + "learning_rate": 3.501866525443408e-06, + "loss": 0.7667, + "step": 20728 + }, + { + "epoch": 0.61, + "learning_rate": 3.5014126224621144e-06, + "loss": 0.7225, + "step": 20729 + }, + { + "epoch": 0.61, + "learning_rate": 3.5009587330493534e-06, + "loss": 0.7655, + "step": 20730 + }, + { + "epoch": 0.61, + "learning_rate": 3.500504857209236e-06, + "loss": 0.8195, + "step": 20731 + }, + { + "epoch": 0.61, + "learning_rate": 3.5000509949458703e-06, + "loss": 0.7544, + "step": 20732 + }, + { + "epoch": 0.61, + "learning_rate": 3.499597146263367e-06, + "loss": 0.7072, + "step": 20733 + }, + { + "epoch": 0.61, + "learning_rate": 3.499143311165834e-06, + "loss": 0.85, + "step": 20734 + }, + { + "epoch": 0.61, + "learning_rate": 3.4986894896573814e-06, + "loss": 0.3745, + "step": 20735 + }, + { + "epoch": 0.61, + "learning_rate": 3.498235681742118e-06, + "loss": 0.435, + "step": 20736 + }, + { + "epoch": 0.61, + "learning_rate": 3.4977818874241516e-06, + "loss": 0.919, + "step": 20737 + }, + { + "epoch": 0.61, + "learning_rate": 3.4973281067075927e-06, + "loss": 0.7538, + "step": 20738 + }, + { + "epoch": 0.61, + "learning_rate": 3.496874339596549e-06, + "loss": 0.7004, + "step": 20739 + }, + { + "epoch": 0.61, + "learning_rate": 3.4964205860951294e-06, + "loss": 0.5087, + "step": 20740 + }, + { + "epoch": 0.61, + "learning_rate": 3.4959668462074425e-06, + "loss": 0.4302, + "step": 20741 + }, + { + "epoch": 0.61, + "learning_rate": 3.4955131199375953e-06, + "loss": 0.7285, + "step": 20742 + }, + { + "epoch": 0.61, + "learning_rate": 3.495059407289697e-06, + "loss": 0.6888, + "step": 20743 + }, + { + "epoch": 0.61, + "learning_rate": 3.4946057082678555e-06, + "loss": 0.6765, + "step": 20744 + }, + { + "epoch": 0.61, + "learning_rate": 3.4941520228761783e-06, + "loss": 0.7072, + "step": 20745 + }, + { + "epoch": 0.61, + "learning_rate": 3.4936983511187715e-06, + "loss": 0.6846, + "step": 20746 + }, + { + "epoch": 0.61, + "learning_rate": 3.4932446929997464e-06, + "loss": 0.5777, + "step": 20747 + }, + { + "epoch": 0.61, + "learning_rate": 3.4927910485232093e-06, + "loss": 0.6439, + "step": 20748 + }, + { + "epoch": 0.61, + "learning_rate": 3.492337417693267e-06, + "loss": 0.6363, + "step": 20749 + }, + { + "epoch": 0.61, + "learning_rate": 3.4918838005140267e-06, + "loss": 0.8492, + "step": 20750 + }, + { + "epoch": 0.61, + "learning_rate": 3.491430196989595e-06, + "loss": 0.6377, + "step": 20751 + }, + { + "epoch": 0.61, + "learning_rate": 3.4909766071240802e-06, + "loss": 0.5856, + "step": 20752 + }, + { + "epoch": 0.61, + "learning_rate": 3.4905230309215886e-06, + "loss": 0.5774, + "step": 20753 + }, + { + "epoch": 0.61, + "learning_rate": 3.4900694683862267e-06, + "loss": 0.814, + "step": 20754 + }, + { + "epoch": 0.61, + "learning_rate": 3.489615919522101e-06, + "loss": 0.7518, + "step": 20755 + }, + { + "epoch": 0.61, + "learning_rate": 3.489162384333319e-06, + "loss": 0.616, + "step": 20756 + }, + { + "epoch": 0.61, + "learning_rate": 3.4887088628239864e-06, + "loss": 0.4846, + "step": 20757 + }, + { + "epoch": 0.61, + "learning_rate": 3.4882553549982103e-06, + "loss": 0.6135, + "step": 20758 + }, + { + "epoch": 0.61, + "learning_rate": 3.487801860860095e-06, + "loss": 0.6454, + "step": 20759 + }, + { + "epoch": 0.61, + "learning_rate": 3.4873483804137487e-06, + "loss": 0.6946, + "step": 20760 + }, + { + "epoch": 0.61, + "learning_rate": 3.4868949136632764e-06, + "loss": 0.7219, + "step": 20761 + }, + { + "epoch": 0.61, + "learning_rate": 3.4864414606127833e-06, + "loss": 0.7692, + "step": 20762 + }, + { + "epoch": 0.61, + "learning_rate": 3.485988021266376e-06, + "loss": 0.8392, + "step": 20763 + }, + { + "epoch": 0.61, + "learning_rate": 3.4855345956281594e-06, + "loss": 0.4546, + "step": 20764 + }, + { + "epoch": 0.61, + "learning_rate": 3.485081183702239e-06, + "loss": 0.7427, + "step": 20765 + }, + { + "epoch": 0.61, + "learning_rate": 3.484627785492719e-06, + "loss": 0.6822, + "step": 20766 + }, + { + "epoch": 0.61, + "learning_rate": 3.4841744010037073e-06, + "loss": 0.8151, + "step": 20767 + }, + { + "epoch": 0.61, + "learning_rate": 3.483721030239307e-06, + "loss": 0.6684, + "step": 20768 + }, + { + "epoch": 0.61, + "learning_rate": 3.4832676732036243e-06, + "loss": 0.8818, + "step": 20769 + }, + { + "epoch": 0.61, + "learning_rate": 3.482814329900762e-06, + "loss": 0.4769, + "step": 20770 + }, + { + "epoch": 0.61, + "learning_rate": 3.482361000334827e-06, + "loss": 0.6871, + "step": 20771 + }, + { + "epoch": 0.61, + "learning_rate": 3.481907684509922e-06, + "loss": 0.8085, + "step": 20772 + }, + { + "epoch": 0.61, + "learning_rate": 3.481454382430153e-06, + "loss": 0.8002, + "step": 20773 + }, + { + "epoch": 0.61, + "learning_rate": 3.481001094099623e-06, + "loss": 0.397, + "step": 20774 + }, + { + "epoch": 0.61, + "learning_rate": 3.4805478195224363e-06, + "loss": 0.6669, + "step": 20775 + }, + { + "epoch": 0.61, + "learning_rate": 3.4800945587026967e-06, + "loss": 0.9354, + "step": 20776 + }, + { + "epoch": 0.61, + "learning_rate": 3.479641311644509e-06, + "loss": 0.8029, + "step": 20777 + }, + { + "epoch": 0.61, + "learning_rate": 3.4791880783519776e-06, + "loss": 0.9289, + "step": 20778 + }, + { + "epoch": 0.61, + "learning_rate": 3.4787348588292053e-06, + "loss": 0.7903, + "step": 20779 + }, + { + "epoch": 0.61, + "learning_rate": 3.4782816530802954e-06, + "loss": 0.7834, + "step": 20780 + }, + { + "epoch": 0.61, + "learning_rate": 3.4778284611093517e-06, + "loss": 0.4513, + "step": 20781 + }, + { + "epoch": 0.61, + "learning_rate": 3.4773752829204765e-06, + "loss": 0.7154, + "step": 20782 + }, + { + "epoch": 0.61, + "learning_rate": 3.476922118517775e-06, + "loss": 0.8718, + "step": 20783 + }, + { + "epoch": 0.61, + "learning_rate": 3.476468967905348e-06, + "loss": 0.7425, + "step": 20784 + }, + { + "epoch": 0.61, + "learning_rate": 3.4760158310873005e-06, + "loss": 0.9339, + "step": 20785 + }, + { + "epoch": 0.61, + "learning_rate": 3.4755627080677314e-06, + "loss": 0.6282, + "step": 20786 + }, + { + "epoch": 0.61, + "learning_rate": 3.4751095988507487e-06, + "loss": 0.7243, + "step": 20787 + }, + { + "epoch": 0.61, + "learning_rate": 3.4746565034404523e-06, + "loss": 0.6544, + "step": 20788 + }, + { + "epoch": 0.61, + "learning_rate": 3.4742034218409446e-06, + "loss": 0.7639, + "step": 20789 + }, + { + "epoch": 0.61, + "learning_rate": 3.4737503540563288e-06, + "loss": 0.7423, + "step": 20790 + }, + { + "epoch": 0.61, + "learning_rate": 3.473297300090706e-06, + "loss": 0.9751, + "step": 20791 + }, + { + "epoch": 0.61, + "learning_rate": 3.4728442599481786e-06, + "loss": 0.6265, + "step": 20792 + }, + { + "epoch": 0.61, + "learning_rate": 3.472391233632849e-06, + "loss": 0.9917, + "step": 20793 + }, + { + "epoch": 0.61, + "learning_rate": 3.4719382211488184e-06, + "loss": 0.6817, + "step": 20794 + }, + { + "epoch": 0.61, + "learning_rate": 3.4714852225001883e-06, + "loss": 0.5635, + "step": 20795 + }, + { + "epoch": 0.61, + "learning_rate": 3.4710322376910597e-06, + "loss": 0.8099, + "step": 20796 + }, + { + "epoch": 0.61, + "learning_rate": 3.470579266725537e-06, + "loss": 0.9254, + "step": 20797 + }, + { + "epoch": 0.61, + "learning_rate": 3.4701263096077174e-06, + "loss": 0.9252, + "step": 20798 + }, + { + "epoch": 0.61, + "learning_rate": 3.4696733663417055e-06, + "loss": 0.7893, + "step": 20799 + }, + { + "epoch": 0.61, + "learning_rate": 3.469220436931601e-06, + "loss": 0.6038, + "step": 20800 + }, + { + "epoch": 0.61, + "learning_rate": 3.468767521381504e-06, + "loss": 0.6105, + "step": 20801 + }, + { + "epoch": 0.61, + "learning_rate": 3.468314619695516e-06, + "loss": 0.6198, + "step": 20802 + }, + { + "epoch": 0.61, + "learning_rate": 3.4678617318777384e-06, + "loss": 0.6142, + "step": 20803 + }, + { + "epoch": 0.61, + "learning_rate": 3.4674088579322706e-06, + "loss": 0.7476, + "step": 20804 + }, + { + "epoch": 0.61, + "learning_rate": 3.4669559978632138e-06, + "loss": 0.7045, + "step": 20805 + }, + { + "epoch": 0.61, + "learning_rate": 3.4665031516746654e-06, + "loss": 0.8834, + "step": 20806 + }, + { + "epoch": 0.61, + "learning_rate": 3.4660503193707307e-06, + "loss": 0.6987, + "step": 20807 + }, + { + "epoch": 0.61, + "learning_rate": 3.465597500955507e-06, + "loss": 0.9841, + "step": 20808 + }, + { + "epoch": 0.61, + "learning_rate": 3.4651446964330947e-06, + "loss": 0.8102, + "step": 20809 + }, + { + "epoch": 0.61, + "learning_rate": 3.4646919058075928e-06, + "loss": 0.6227, + "step": 20810 + }, + { + "epoch": 0.61, + "learning_rate": 3.4642391290831013e-06, + "loss": 0.704, + "step": 20811 + }, + { + "epoch": 0.61, + "learning_rate": 3.4637863662637204e-06, + "loss": 0.7383, + "step": 20812 + }, + { + "epoch": 0.61, + "learning_rate": 3.4633336173535492e-06, + "loss": 0.7025, + "step": 20813 + }, + { + "epoch": 0.61, + "learning_rate": 3.4628808823566862e-06, + "loss": 0.8952, + "step": 20814 + }, + { + "epoch": 0.61, + "learning_rate": 3.4624281612772306e-06, + "loss": 0.7722, + "step": 20815 + }, + { + "epoch": 0.61, + "learning_rate": 3.4619754541192823e-06, + "loss": 0.7781, + "step": 20816 + }, + { + "epoch": 0.61, + "learning_rate": 3.4615227608869407e-06, + "loss": 0.7696, + "step": 20817 + }, + { + "epoch": 0.61, + "learning_rate": 3.4610700815843036e-06, + "loss": 0.8067, + "step": 20818 + }, + { + "epoch": 0.61, + "learning_rate": 3.460617416215469e-06, + "loss": 0.6365, + "step": 20819 + }, + { + "epoch": 0.61, + "learning_rate": 3.460164764784537e-06, + "loss": 1.0784, + "step": 20820 + }, + { + "epoch": 0.61, + "learning_rate": 3.4597121272956053e-06, + "loss": 0.7318, + "step": 20821 + }, + { + "epoch": 0.61, + "learning_rate": 3.459259503752772e-06, + "loss": 0.7768, + "step": 20822 + }, + { + "epoch": 0.61, + "learning_rate": 3.458806894160135e-06, + "loss": 0.9134, + "step": 20823 + }, + { + "epoch": 0.61, + "learning_rate": 3.4583542985217933e-06, + "loss": 0.668, + "step": 20824 + }, + { + "epoch": 0.61, + "learning_rate": 3.4579017168418417e-06, + "loss": 0.8496, + "step": 20825 + }, + { + "epoch": 0.61, + "learning_rate": 3.457449149124383e-06, + "loss": 0.7232, + "step": 20826 + }, + { + "epoch": 0.61, + "learning_rate": 3.456996595373512e-06, + "loss": 0.7573, + "step": 20827 + }, + { + "epoch": 0.61, + "learning_rate": 3.4565440555933268e-06, + "loss": 0.7527, + "step": 20828 + }, + { + "epoch": 0.61, + "learning_rate": 3.456091529787924e-06, + "loss": 0.5794, + "step": 20829 + }, + { + "epoch": 0.61, + "learning_rate": 3.455639017961402e-06, + "loss": 0.8289, + "step": 20830 + }, + { + "epoch": 0.61, + "learning_rate": 3.4551865201178568e-06, + "loss": 0.7089, + "step": 20831 + }, + { + "epoch": 0.61, + "learning_rate": 3.4547340362613867e-06, + "loss": 0.7611, + "step": 20832 + }, + { + "epoch": 0.61, + "learning_rate": 3.454281566396087e-06, + "loss": 0.5825, + "step": 20833 + }, + { + "epoch": 0.61, + "learning_rate": 3.4538291105260555e-06, + "loss": 0.7921, + "step": 20834 + }, + { + "epoch": 0.61, + "learning_rate": 3.4533766686553883e-06, + "loss": 0.6153, + "step": 20835 + }, + { + "epoch": 0.61, + "learning_rate": 3.4529242407881826e-06, + "loss": 0.5728, + "step": 20836 + }, + { + "epoch": 0.61, + "learning_rate": 3.452471826928535e-06, + "loss": 0.728, + "step": 20837 + }, + { + "epoch": 0.61, + "learning_rate": 3.4520194270805406e-06, + "loss": 0.7756, + "step": 20838 + }, + { + "epoch": 0.61, + "learning_rate": 3.451567041248296e-06, + "loss": 0.9902, + "step": 20839 + }, + { + "epoch": 0.61, + "learning_rate": 3.4511146694358976e-06, + "loss": 0.5766, + "step": 20840 + }, + { + "epoch": 0.61, + "learning_rate": 3.4506623116474415e-06, + "loss": 0.6302, + "step": 20841 + }, + { + "epoch": 0.61, + "learning_rate": 3.450209967887022e-06, + "loss": 0.6089, + "step": 20842 + }, + { + "epoch": 0.61, + "learning_rate": 3.449757638158736e-06, + "loss": 0.6025, + "step": 20843 + }, + { + "epoch": 0.61, + "learning_rate": 3.449305322466679e-06, + "loss": 1.0075, + "step": 20844 + }, + { + "epoch": 0.61, + "learning_rate": 3.4488530208149435e-06, + "loss": 0.7075, + "step": 20845 + }, + { + "epoch": 0.61, + "learning_rate": 3.4484007332076297e-06, + "loss": 0.6159, + "step": 20846 + }, + { + "epoch": 0.61, + "learning_rate": 3.44794845964883e-06, + "loss": 0.6952, + "step": 20847 + }, + { + "epoch": 0.61, + "learning_rate": 3.4474962001426393e-06, + "loss": 0.8368, + "step": 20848 + }, + { + "epoch": 0.61, + "learning_rate": 3.4470439546931527e-06, + "loss": 0.7843, + "step": 20849 + }, + { + "epoch": 0.61, + "learning_rate": 3.4465917233044655e-06, + "loss": 1.0382, + "step": 20850 + }, + { + "epoch": 0.61, + "learning_rate": 3.4461395059806714e-06, + "loss": 0.9314, + "step": 20851 + }, + { + "epoch": 0.61, + "learning_rate": 3.445687302725866e-06, + "loss": 0.7739, + "step": 20852 + }, + { + "epoch": 0.61, + "learning_rate": 3.445235113544142e-06, + "loss": 0.6053, + "step": 20853 + }, + { + "epoch": 0.61, + "learning_rate": 3.4447829384395946e-06, + "loss": 0.5949, + "step": 20854 + }, + { + "epoch": 0.61, + "learning_rate": 3.4443307774163175e-06, + "loss": 0.7012, + "step": 20855 + }, + { + "epoch": 0.61, + "learning_rate": 3.4438786304784054e-06, + "loss": 0.7681, + "step": 20856 + }, + { + "epoch": 0.61, + "learning_rate": 3.4434264976299526e-06, + "loss": 0.7071, + "step": 20857 + }, + { + "epoch": 0.61, + "learning_rate": 3.4429743788750514e-06, + "loss": 0.6929, + "step": 20858 + }, + { + "epoch": 0.61, + "learning_rate": 3.4425222742177957e-06, + "loss": 0.6732, + "step": 20859 + }, + { + "epoch": 0.61, + "learning_rate": 3.4420701836622794e-06, + "loss": 0.7957, + "step": 20860 + }, + { + "epoch": 0.61, + "learning_rate": 3.4416181072125955e-06, + "loss": 0.8215, + "step": 20861 + }, + { + "epoch": 0.61, + "learning_rate": 3.4411660448728372e-06, + "loss": 0.7415, + "step": 20862 + }, + { + "epoch": 0.61, + "learning_rate": 3.4407139966470983e-06, + "loss": 0.651, + "step": 20863 + }, + { + "epoch": 0.61, + "learning_rate": 3.440261962539471e-06, + "loss": 0.5635, + "step": 20864 + }, + { + "epoch": 0.61, + "learning_rate": 3.439809942554045e-06, + "loss": 0.726, + "step": 20865 + }, + { + "epoch": 0.61, + "learning_rate": 3.4393579366949193e-06, + "loss": 0.7487, + "step": 20866 + }, + { + "epoch": 0.61, + "learning_rate": 3.438905944966183e-06, + "loss": 0.6817, + "step": 20867 + }, + { + "epoch": 0.61, + "learning_rate": 3.4384539673719285e-06, + "loss": 0.5147, + "step": 20868 + }, + { + "epoch": 0.61, + "learning_rate": 3.438002003916249e-06, + "loss": 0.6578, + "step": 20869 + }, + { + "epoch": 0.61, + "learning_rate": 3.437550054603237e-06, + "loss": 0.5718, + "step": 20870 + }, + { + "epoch": 0.61, + "learning_rate": 3.4370981194369823e-06, + "loss": 0.6355, + "step": 20871 + }, + { + "epoch": 0.61, + "learning_rate": 3.4366461984215792e-06, + "loss": 0.7247, + "step": 20872 + }, + { + "epoch": 0.61, + "learning_rate": 3.4361942915611178e-06, + "loss": 0.9129, + "step": 20873 + }, + { + "epoch": 0.61, + "learning_rate": 3.43574239885969e-06, + "loss": 0.6939, + "step": 20874 + }, + { + "epoch": 0.61, + "learning_rate": 3.4352905203213887e-06, + "loss": 0.6709, + "step": 20875 + }, + { + "epoch": 0.61, + "learning_rate": 3.4348386559503043e-06, + "loss": 0.9807, + "step": 20876 + }, + { + "epoch": 0.61, + "learning_rate": 3.434386805750528e-06, + "loss": 0.8577, + "step": 20877 + }, + { + "epoch": 0.61, + "learning_rate": 3.433934969726152e-06, + "loss": 0.8553, + "step": 20878 + }, + { + "epoch": 0.61, + "learning_rate": 3.433483147881266e-06, + "loss": 0.7905, + "step": 20879 + }, + { + "epoch": 0.61, + "learning_rate": 3.433031340219961e-06, + "loss": 0.5582, + "step": 20880 + }, + { + "epoch": 0.61, + "learning_rate": 3.4325795467463284e-06, + "loss": 0.8344, + "step": 20881 + }, + { + "epoch": 0.61, + "learning_rate": 3.4321277674644593e-06, + "loss": 0.8168, + "step": 20882 + }, + { + "epoch": 0.61, + "learning_rate": 3.431676002378442e-06, + "loss": 0.8309, + "step": 20883 + }, + { + "epoch": 0.61, + "learning_rate": 3.431224251492368e-06, + "loss": 0.7163, + "step": 20884 + }, + { + "epoch": 0.61, + "learning_rate": 3.4307725148103288e-06, + "loss": 0.8709, + "step": 20885 + }, + { + "epoch": 0.61, + "learning_rate": 3.4303207923364136e-06, + "loss": 0.7369, + "step": 20886 + }, + { + "epoch": 0.61, + "learning_rate": 3.429869084074713e-06, + "loss": 0.6889, + "step": 20887 + }, + { + "epoch": 0.61, + "learning_rate": 3.429417390029316e-06, + "loss": 0.6948, + "step": 20888 + }, + { + "epoch": 0.61, + "learning_rate": 3.428965710204313e-06, + "loss": 0.4249, + "step": 20889 + }, + { + "epoch": 0.61, + "learning_rate": 3.428514044603792e-06, + "loss": 0.7928, + "step": 20890 + }, + { + "epoch": 0.61, + "learning_rate": 3.4280623932318453e-06, + "loss": 0.53, + "step": 20891 + }, + { + "epoch": 0.61, + "learning_rate": 3.4276107560925596e-06, + "loss": 0.7021, + "step": 20892 + }, + { + "epoch": 0.61, + "learning_rate": 3.4271591331900258e-06, + "loss": 0.7697, + "step": 20893 + }, + { + "epoch": 0.61, + "learning_rate": 3.426707524528331e-06, + "loss": 0.5779, + "step": 20894 + }, + { + "epoch": 0.61, + "learning_rate": 3.4262559301115662e-06, + "loss": 1.0719, + "step": 20895 + }, + { + "epoch": 0.61, + "learning_rate": 3.42580434994382e-06, + "loss": 0.9718, + "step": 20896 + }, + { + "epoch": 0.61, + "learning_rate": 3.4253527840291812e-06, + "loss": 0.6499, + "step": 20897 + }, + { + "epoch": 0.61, + "learning_rate": 3.4249012323717368e-06, + "loss": 0.5563, + "step": 20898 + }, + { + "epoch": 0.61, + "learning_rate": 3.424449694975577e-06, + "loss": 0.7622, + "step": 20899 + }, + { + "epoch": 0.61, + "learning_rate": 3.423998171844789e-06, + "loss": 0.7203, + "step": 20900 + }, + { + "epoch": 0.61, + "learning_rate": 3.423546662983461e-06, + "loss": 0.7202, + "step": 20901 + }, + { + "epoch": 0.61, + "learning_rate": 3.4230951683956827e-06, + "loss": 0.4261, + "step": 20902 + }, + { + "epoch": 0.61, + "learning_rate": 3.4226436880855395e-06, + "loss": 0.7711, + "step": 20903 + }, + { + "epoch": 0.61, + "learning_rate": 3.4221922220571192e-06, + "loss": 0.8429, + "step": 20904 + }, + { + "epoch": 0.61, + "learning_rate": 3.4217407703145123e-06, + "loss": 0.638, + "step": 20905 + }, + { + "epoch": 0.61, + "learning_rate": 3.4212893328618052e-06, + "loss": 0.6298, + "step": 20906 + }, + { + "epoch": 0.61, + "learning_rate": 3.4208379097030853e-06, + "loss": 0.8205, + "step": 20907 + }, + { + "epoch": 0.61, + "learning_rate": 3.4203865008424387e-06, + "loss": 0.7481, + "step": 20908 + }, + { + "epoch": 0.61, + "learning_rate": 3.4199351062839535e-06, + "loss": 0.4021, + "step": 20909 + }, + { + "epoch": 0.61, + "learning_rate": 3.4194837260317164e-06, + "loss": 0.8333, + "step": 20910 + }, + { + "epoch": 0.61, + "learning_rate": 3.4190323600898146e-06, + "loss": 0.7006, + "step": 20911 + }, + { + "epoch": 0.61, + "learning_rate": 3.418581008462335e-06, + "loss": 0.8422, + "step": 20912 + }, + { + "epoch": 0.61, + "learning_rate": 3.418129671153364e-06, + "loss": 0.7786, + "step": 20913 + }, + { + "epoch": 0.61, + "learning_rate": 3.4176783481669868e-06, + "loss": 0.6672, + "step": 20914 + }, + { + "epoch": 0.61, + "learning_rate": 3.417227039507292e-06, + "loss": 0.7514, + "step": 20915 + }, + { + "epoch": 0.61, + "learning_rate": 3.4167757451783653e-06, + "loss": 0.8478, + "step": 20916 + }, + { + "epoch": 0.61, + "learning_rate": 3.416324465184292e-06, + "loss": 0.6119, + "step": 20917 + }, + { + "epoch": 0.61, + "learning_rate": 3.4158731995291585e-06, + "loss": 0.7936, + "step": 20918 + }, + { + "epoch": 0.61, + "learning_rate": 3.4154219482170504e-06, + "loss": 0.8602, + "step": 20919 + }, + { + "epoch": 0.61, + "learning_rate": 3.4149707112520542e-06, + "loss": 0.6731, + "step": 20920 + }, + { + "epoch": 0.61, + "learning_rate": 3.414519488638255e-06, + "loss": 0.6327, + "step": 20921 + }, + { + "epoch": 0.61, + "learning_rate": 3.4140682803797378e-06, + "loss": 0.6573, + "step": 20922 + }, + { + "epoch": 0.61, + "learning_rate": 3.4136170864805884e-06, + "loss": 0.7407, + "step": 20923 + }, + { + "epoch": 0.61, + "learning_rate": 3.41316590694489e-06, + "loss": 0.5064, + "step": 20924 + }, + { + "epoch": 0.61, + "learning_rate": 3.4127147417767313e-06, + "loss": 0.8948, + "step": 20925 + }, + { + "epoch": 0.61, + "learning_rate": 3.412263590980196e-06, + "loss": 0.5257, + "step": 20926 + }, + { + "epoch": 0.61, + "learning_rate": 3.411812454559369e-06, + "loss": 0.6947, + "step": 20927 + }, + { + "epoch": 0.61, + "learning_rate": 3.4113613325183337e-06, + "loss": 0.7086, + "step": 20928 + }, + { + "epoch": 0.61, + "learning_rate": 3.410910224861176e-06, + "loss": 0.5321, + "step": 20929 + }, + { + "epoch": 0.61, + "learning_rate": 3.4104591315919798e-06, + "loss": 0.7794, + "step": 20930 + }, + { + "epoch": 0.61, + "learning_rate": 3.4100080527148293e-06, + "loss": 0.6317, + "step": 20931 + }, + { + "epoch": 0.61, + "learning_rate": 3.409556988233809e-06, + "loss": 0.8932, + "step": 20932 + }, + { + "epoch": 0.61, + "learning_rate": 3.409105938153002e-06, + "loss": 0.8887, + "step": 20933 + }, + { + "epoch": 0.62, + "learning_rate": 3.4086549024764914e-06, + "loss": 0.6269, + "step": 20934 + }, + { + "epoch": 0.62, + "learning_rate": 3.4082038812083653e-06, + "loss": 0.7336, + "step": 20935 + }, + { + "epoch": 0.62, + "learning_rate": 3.4077528743527026e-06, + "loss": 0.6707, + "step": 20936 + }, + { + "epoch": 0.62, + "learning_rate": 3.4073018819135893e-06, + "loss": 0.7765, + "step": 20937 + }, + { + "epoch": 0.62, + "learning_rate": 3.406850903895109e-06, + "loss": 0.6634, + "step": 20938 + }, + { + "epoch": 0.62, + "learning_rate": 3.4063999403013437e-06, + "loss": 0.3098, + "step": 20939 + }, + { + "epoch": 0.62, + "learning_rate": 3.4059489911363768e-06, + "loss": 0.6783, + "step": 20940 + }, + { + "epoch": 0.62, + "learning_rate": 3.4054980564042918e-06, + "loss": 0.8016, + "step": 20941 + }, + { + "epoch": 0.62, + "learning_rate": 3.405047136109171e-06, + "loss": 0.8744, + "step": 20942 + }, + { + "epoch": 0.62, + "learning_rate": 3.404596230255095e-06, + "loss": 1.0092, + "step": 20943 + }, + { + "epoch": 0.62, + "learning_rate": 3.404145338846151e-06, + "loss": 0.7957, + "step": 20944 + }, + { + "epoch": 0.62, + "learning_rate": 3.4036944618864194e-06, + "loss": 0.7935, + "step": 20945 + }, + { + "epoch": 0.62, + "learning_rate": 3.403243599379982e-06, + "loss": 0.8251, + "step": 20946 + }, + { + "epoch": 0.62, + "learning_rate": 3.402792751330922e-06, + "loss": 0.8262, + "step": 20947 + }, + { + "epoch": 0.62, + "learning_rate": 3.4023419177433205e-06, + "loss": 0.4349, + "step": 20948 + }, + { + "epoch": 0.62, + "learning_rate": 3.4018910986212594e-06, + "loss": 0.7367, + "step": 20949 + }, + { + "epoch": 0.62, + "learning_rate": 3.401440293968822e-06, + "loss": 0.6445, + "step": 20950 + }, + { + "epoch": 0.62, + "learning_rate": 3.4009895037900876e-06, + "loss": 0.8432, + "step": 20951 + }, + { + "epoch": 0.62, + "learning_rate": 3.40053872808914e-06, + "loss": 0.6834, + "step": 20952 + }, + { + "epoch": 0.62, + "learning_rate": 3.4000879668700575e-06, + "loss": 0.841, + "step": 20953 + }, + { + "epoch": 0.62, + "learning_rate": 3.3996372201369254e-06, + "loss": 0.8221, + "step": 20954 + }, + { + "epoch": 0.62, + "learning_rate": 3.399186487893823e-06, + "loss": 0.6881, + "step": 20955 + }, + { + "epoch": 0.62, + "learning_rate": 3.398735770144831e-06, + "loss": 0.8089, + "step": 20956 + }, + { + "epoch": 0.62, + "learning_rate": 3.398285066894031e-06, + "loss": 0.7247, + "step": 20957 + }, + { + "epoch": 0.62, + "learning_rate": 3.397834378145503e-06, + "loss": 0.9104, + "step": 20958 + }, + { + "epoch": 0.62, + "learning_rate": 3.3973837039033286e-06, + "loss": 0.8374, + "step": 20959 + }, + { + "epoch": 0.62, + "learning_rate": 3.396933044171587e-06, + "loss": 1.1074, + "step": 20960 + }, + { + "epoch": 0.62, + "learning_rate": 3.3964823989543595e-06, + "loss": 0.79, + "step": 20961 + }, + { + "epoch": 0.62, + "learning_rate": 3.3960317682557262e-06, + "loss": 0.796, + "step": 20962 + }, + { + "epoch": 0.62, + "learning_rate": 3.3955811520797655e-06, + "loss": 0.9293, + "step": 20963 + }, + { + "epoch": 0.62, + "learning_rate": 3.395130550430561e-06, + "loss": 0.801, + "step": 20964 + }, + { + "epoch": 0.62, + "learning_rate": 3.39467996331219e-06, + "loss": 0.8377, + "step": 20965 + }, + { + "epoch": 0.62, + "learning_rate": 3.3942293907287327e-06, + "loss": 0.742, + "step": 20966 + }, + { + "epoch": 0.62, + "learning_rate": 3.393778832684269e-06, + "loss": 0.6692, + "step": 20967 + }, + { + "epoch": 0.62, + "learning_rate": 3.3933282891828784e-06, + "loss": 0.8399, + "step": 20968 + }, + { + "epoch": 0.62, + "learning_rate": 3.39287776022864e-06, + "loss": 0.6242, + "step": 20969 + }, + { + "epoch": 0.62, + "learning_rate": 3.3924272458256326e-06, + "loss": 0.5804, + "step": 20970 + }, + { + "epoch": 0.62, + "learning_rate": 3.3919767459779352e-06, + "loss": 0.8838, + "step": 20971 + }, + { + "epoch": 0.62, + "learning_rate": 3.3915262606896276e-06, + "loss": 0.6852, + "step": 20972 + }, + { + "epoch": 0.62, + "learning_rate": 3.3910757899647872e-06, + "loss": 0.7225, + "step": 20973 + }, + { + "epoch": 0.62, + "learning_rate": 3.390625333807494e-06, + "loss": 0.4245, + "step": 20974 + }, + { + "epoch": 0.62, + "learning_rate": 3.3901748922218262e-06, + "loss": 0.6972, + "step": 20975 + }, + { + "epoch": 0.62, + "learning_rate": 3.389724465211862e-06, + "loss": 0.7441, + "step": 20976 + }, + { + "epoch": 0.62, + "learning_rate": 3.3892740527816803e-06, + "loss": 0.5755, + "step": 20977 + }, + { + "epoch": 0.62, + "learning_rate": 3.3888236549353583e-06, + "loss": 0.6791, + "step": 20978 + }, + { + "epoch": 0.62, + "learning_rate": 3.3883732716769747e-06, + "loss": 0.6564, + "step": 20979 + }, + { + "epoch": 0.62, + "learning_rate": 3.3879229030106065e-06, + "loss": 0.7746, + "step": 20980 + }, + { + "epoch": 0.62, + "learning_rate": 3.3874725489403316e-06, + "loss": 0.5848, + "step": 20981 + }, + { + "epoch": 0.62, + "learning_rate": 3.3870222094702286e-06, + "loss": 0.9464, + "step": 20982 + }, + { + "epoch": 0.62, + "learning_rate": 3.386571884604372e-06, + "loss": 0.7643, + "step": 20983 + }, + { + "epoch": 0.62, + "learning_rate": 3.3861215743468432e-06, + "loss": 0.7022, + "step": 20984 + }, + { + "epoch": 0.62, + "learning_rate": 3.3856712787017188e-06, + "loss": 0.8736, + "step": 20985 + }, + { + "epoch": 0.62, + "learning_rate": 3.3852209976730744e-06, + "loss": 0.8367, + "step": 20986 + }, + { + "epoch": 0.62, + "learning_rate": 3.384770731264987e-06, + "loss": 0.8249, + "step": 20987 + }, + { + "epoch": 0.62, + "learning_rate": 3.3843204794815334e-06, + "loss": 0.6154, + "step": 20988 + }, + { + "epoch": 0.62, + "learning_rate": 3.3838702423267906e-06, + "loss": 0.6879, + "step": 20989 + }, + { + "epoch": 0.62, + "learning_rate": 3.383420019804835e-06, + "loss": 0.7895, + "step": 20990 + }, + { + "epoch": 0.62, + "learning_rate": 3.382969811919744e-06, + "loss": 0.8551, + "step": 20991 + }, + { + "epoch": 0.62, + "learning_rate": 3.3825196186755922e-06, + "loss": 0.6354, + "step": 20992 + }, + { + "epoch": 0.62, + "learning_rate": 3.382069440076455e-06, + "loss": 0.5208, + "step": 20993 + }, + { + "epoch": 0.62, + "learning_rate": 3.381619276126412e-06, + "loss": 0.5215, + "step": 20994 + }, + { + "epoch": 0.62, + "learning_rate": 3.381169126829538e-06, + "loss": 0.5863, + "step": 20995 + }, + { + "epoch": 0.62, + "learning_rate": 3.380718992189906e-06, + "loss": 0.5261, + "step": 20996 + }, + { + "epoch": 0.62, + "learning_rate": 3.380268872211594e-06, + "loss": 0.7283, + "step": 20997 + }, + { + "epoch": 0.62, + "learning_rate": 3.379818766898677e-06, + "loss": 0.9394, + "step": 20998 + }, + { + "epoch": 0.62, + "learning_rate": 3.37936867625523e-06, + "loss": 0.9784, + "step": 20999 + }, + { + "epoch": 0.62, + "learning_rate": 3.378918600285329e-06, + "loss": 0.6748, + "step": 21000 + }, + { + "epoch": 0.62, + "learning_rate": 3.3784685389930482e-06, + "loss": 0.5381, + "step": 21001 + }, + { + "epoch": 0.62, + "learning_rate": 3.378018492382461e-06, + "loss": 0.5722, + "step": 21002 + }, + { + "epoch": 0.62, + "learning_rate": 3.377568460457645e-06, + "loss": 0.4732, + "step": 21003 + }, + { + "epoch": 0.62, + "learning_rate": 3.3771184432226756e-06, + "loss": 0.7989, + "step": 21004 + }, + { + "epoch": 0.62, + "learning_rate": 3.3766684406816253e-06, + "loss": 0.8842, + "step": 21005 + }, + { + "epoch": 0.62, + "learning_rate": 3.376218452838569e-06, + "loss": 0.7681, + "step": 21006 + }, + { + "epoch": 0.62, + "learning_rate": 3.375768479697581e-06, + "loss": 0.6907, + "step": 21007 + }, + { + "epoch": 0.62, + "learning_rate": 3.3753185212627346e-06, + "loss": 0.5078, + "step": 21008 + }, + { + "epoch": 0.62, + "learning_rate": 3.3748685775381055e-06, + "loss": 0.6385, + "step": 21009 + }, + { + "epoch": 0.62, + "learning_rate": 3.374418648527767e-06, + "loss": 0.5637, + "step": 21010 + }, + { + "epoch": 0.62, + "learning_rate": 3.373968734235792e-06, + "loss": 0.6779, + "step": 21011 + }, + { + "epoch": 0.62, + "learning_rate": 3.3735188346662527e-06, + "loss": 0.79, + "step": 21012 + }, + { + "epoch": 0.62, + "learning_rate": 3.3730689498232265e-06, + "loss": 0.7745, + "step": 21013 + }, + { + "epoch": 0.62, + "learning_rate": 3.372619079710785e-06, + "loss": 0.8736, + "step": 21014 + }, + { + "epoch": 0.62, + "learning_rate": 3.372169224333002e-06, + "loss": 0.6729, + "step": 21015 + }, + { + "epoch": 0.62, + "learning_rate": 3.37171938369395e-06, + "loss": 0.8644, + "step": 21016 + }, + { + "epoch": 0.62, + "learning_rate": 3.3712695577977007e-06, + "loss": 0.622, + "step": 21017 + }, + { + "epoch": 0.62, + "learning_rate": 3.370819746648328e-06, + "loss": 0.8588, + "step": 21018 + }, + { + "epoch": 0.62, + "learning_rate": 3.3703699502499056e-06, + "loss": 0.6476, + "step": 21019 + }, + { + "epoch": 0.62, + "learning_rate": 3.369920168606504e-06, + "loss": 0.7158, + "step": 21020 + }, + { + "epoch": 0.62, + "learning_rate": 3.3694704017221974e-06, + "loss": 0.7466, + "step": 21021 + }, + { + "epoch": 0.62, + "learning_rate": 3.369020649601055e-06, + "loss": 0.7423, + "step": 21022 + }, + { + "epoch": 0.62, + "learning_rate": 3.3685709122471534e-06, + "loss": 0.6684, + "step": 21023 + }, + { + "epoch": 0.62, + "learning_rate": 3.3681211896645627e-06, + "loss": 0.5488, + "step": 21024 + }, + { + "epoch": 0.62, + "learning_rate": 3.3676714818573546e-06, + "loss": 0.6638, + "step": 21025 + }, + { + "epoch": 0.62, + "learning_rate": 3.367221788829601e-06, + "loss": 0.6001, + "step": 21026 + }, + { + "epoch": 0.62, + "learning_rate": 3.366772110585373e-06, + "loss": 0.7761, + "step": 21027 + }, + { + "epoch": 0.62, + "learning_rate": 3.3663224471287427e-06, + "loss": 0.5186, + "step": 21028 + }, + { + "epoch": 0.62, + "learning_rate": 3.365872798463781e-06, + "loss": 0.6922, + "step": 21029 + }, + { + "epoch": 0.62, + "learning_rate": 3.36542316459456e-06, + "loss": 0.681, + "step": 21030 + }, + { + "epoch": 0.62, + "learning_rate": 3.36497354552515e-06, + "loss": 0.7713, + "step": 21031 + }, + { + "epoch": 0.62, + "learning_rate": 3.364523941259619e-06, + "loss": 0.7079, + "step": 21032 + }, + { + "epoch": 0.62, + "learning_rate": 3.364074351802044e-06, + "loss": 0.8064, + "step": 21033 + }, + { + "epoch": 0.62, + "learning_rate": 3.363624777156492e-06, + "loss": 0.564, + "step": 21034 + }, + { + "epoch": 0.62, + "learning_rate": 3.363175217327035e-06, + "loss": 0.6061, + "step": 21035 + }, + { + "epoch": 0.62, + "learning_rate": 3.3627256723177415e-06, + "loss": 0.9821, + "step": 21036 + }, + { + "epoch": 0.62, + "learning_rate": 3.362276142132683e-06, + "loss": 0.7935, + "step": 21037 + }, + { + "epoch": 0.62, + "learning_rate": 3.3618266267759304e-06, + "loss": 0.7125, + "step": 21038 + }, + { + "epoch": 0.62, + "learning_rate": 3.3613771262515514e-06, + "loss": 0.6847, + "step": 21039 + }, + { + "epoch": 0.62, + "learning_rate": 3.360927640563618e-06, + "loss": 0.7091, + "step": 21040 + }, + { + "epoch": 0.62, + "learning_rate": 3.3604781697162004e-06, + "loss": 0.6421, + "step": 21041 + }, + { + "epoch": 0.62, + "learning_rate": 3.3600287137133634e-06, + "loss": 0.7507, + "step": 21042 + }, + { + "epoch": 0.62, + "learning_rate": 3.3595792725591825e-06, + "loss": 0.7973, + "step": 21043 + }, + { + "epoch": 0.62, + "learning_rate": 3.359129846257725e-06, + "loss": 0.6238, + "step": 21044 + }, + { + "epoch": 0.62, + "learning_rate": 3.3586804348130586e-06, + "loss": 0.5917, + "step": 21045 + }, + { + "epoch": 0.62, + "learning_rate": 3.358231038229254e-06, + "loss": 0.7231, + "step": 21046 + }, + { + "epoch": 0.62, + "learning_rate": 3.35778165651038e-06, + "loss": 1.0113, + "step": 21047 + }, + { + "epoch": 0.62, + "learning_rate": 3.357332289660504e-06, + "loss": 0.7944, + "step": 21048 + }, + { + "epoch": 0.62, + "learning_rate": 3.3568829376836964e-06, + "loss": 0.7318, + "step": 21049 + }, + { + "epoch": 0.62, + "learning_rate": 3.3564336005840246e-06, + "loss": 0.8236, + "step": 21050 + }, + { + "epoch": 0.62, + "learning_rate": 3.3559842783655583e-06, + "loss": 0.8613, + "step": 21051 + }, + { + "epoch": 0.62, + "learning_rate": 3.355534971032362e-06, + "loss": 0.6696, + "step": 21052 + }, + { + "epoch": 0.62, + "learning_rate": 3.355085678588509e-06, + "loss": 0.7899, + "step": 21053 + }, + { + "epoch": 0.62, + "learning_rate": 3.354636401038065e-06, + "loss": 0.6351, + "step": 21054 + }, + { + "epoch": 0.62, + "learning_rate": 3.3541871383850977e-06, + "loss": 0.8433, + "step": 21055 + }, + { + "epoch": 0.62, + "learning_rate": 3.353737890633675e-06, + "loss": 0.9879, + "step": 21056 + }, + { + "epoch": 0.62, + "learning_rate": 3.353288657787864e-06, + "loss": 0.6069, + "step": 21057 + }, + { + "epoch": 0.62, + "learning_rate": 3.3528394398517326e-06, + "loss": 0.8922, + "step": 21058 + }, + { + "epoch": 0.62, + "learning_rate": 3.352390236829348e-06, + "loss": 0.6004, + "step": 21059 + }, + { + "epoch": 0.62, + "learning_rate": 3.3519410487247784e-06, + "loss": 0.5077, + "step": 21060 + }, + { + "epoch": 0.62, + "learning_rate": 3.3514918755420895e-06, + "loss": 0.6297, + "step": 21061 + }, + { + "epoch": 0.62, + "learning_rate": 3.3510427172853476e-06, + "loss": 0.6659, + "step": 21062 + }, + { + "epoch": 0.62, + "learning_rate": 3.3505935739586215e-06, + "loss": 0.9151, + "step": 21063 + }, + { + "epoch": 0.62, + "learning_rate": 3.3501444455659765e-06, + "loss": 0.9521, + "step": 21064 + }, + { + "epoch": 0.62, + "learning_rate": 3.34969533211148e-06, + "loss": 0.6646, + "step": 21065 + }, + { + "epoch": 0.62, + "learning_rate": 3.349246233599197e-06, + "loss": 0.8285, + "step": 21066 + }, + { + "epoch": 0.62, + "learning_rate": 3.348797150033195e-06, + "loss": 0.6434, + "step": 21067 + }, + { + "epoch": 0.62, + "learning_rate": 3.3483480814175402e-06, + "loss": 0.8199, + "step": 21068 + }, + { + "epoch": 0.62, + "learning_rate": 3.3478990277562972e-06, + "loss": 0.8278, + "step": 21069 + }, + { + "epoch": 0.62, + "learning_rate": 3.3474499890535328e-06, + "loss": 0.6526, + "step": 21070 + }, + { + "epoch": 0.62, + "learning_rate": 3.347000965313311e-06, + "loss": 0.7427, + "step": 21071 + }, + { + "epoch": 0.62, + "learning_rate": 3.346551956539701e-06, + "loss": 0.8267, + "step": 21072 + }, + { + "epoch": 0.62, + "learning_rate": 3.3461029627367658e-06, + "loss": 0.4985, + "step": 21073 + }, + { + "epoch": 0.62, + "learning_rate": 3.345653983908571e-06, + "loss": 0.6007, + "step": 21074 + }, + { + "epoch": 0.62, + "learning_rate": 3.345205020059181e-06, + "loss": 0.6937, + "step": 21075 + }, + { + "epoch": 0.62, + "learning_rate": 3.344756071192663e-06, + "loss": 0.6684, + "step": 21076 + }, + { + "epoch": 0.62, + "learning_rate": 3.3443071373130797e-06, + "loss": 0.6711, + "step": 21077 + }, + { + "epoch": 0.62, + "learning_rate": 3.3438582184244966e-06, + "loss": 0.9168, + "step": 21078 + }, + { + "epoch": 0.62, + "learning_rate": 3.343409314530979e-06, + "loss": 0.5992, + "step": 21079 + }, + { + "epoch": 0.62, + "learning_rate": 3.34296042563659e-06, + "loss": 0.713, + "step": 21080 + }, + { + "epoch": 0.62, + "learning_rate": 3.342511551745393e-06, + "loss": 0.5903, + "step": 21081 + }, + { + "epoch": 0.62, + "learning_rate": 3.3420626928614557e-06, + "loss": 0.8214, + "step": 21082 + }, + { + "epoch": 0.62, + "learning_rate": 3.34161384898884e-06, + "loss": 0.7086, + "step": 21083 + }, + { + "epoch": 0.62, + "learning_rate": 3.3411650201316103e-06, + "loss": 0.5408, + "step": 21084 + }, + { + "epoch": 0.62, + "learning_rate": 3.3407162062938304e-06, + "loss": 0.7762, + "step": 21085 + }, + { + "epoch": 0.62, + "learning_rate": 3.3402674074795634e-06, + "loss": 0.7538, + "step": 21086 + }, + { + "epoch": 0.62, + "learning_rate": 3.339818623692873e-06, + "loss": 0.8195, + "step": 21087 + }, + { + "epoch": 0.62, + "learning_rate": 3.339369854937823e-06, + "loss": 0.5606, + "step": 21088 + }, + { + "epoch": 0.62, + "learning_rate": 3.338921101218476e-06, + "loss": 0.9567, + "step": 21089 + }, + { + "epoch": 0.62, + "learning_rate": 3.338472362538897e-06, + "loss": 0.4472, + "step": 21090 + }, + { + "epoch": 0.62, + "learning_rate": 3.338023638903144e-06, + "loss": 0.7262, + "step": 21091 + }, + { + "epoch": 0.62, + "learning_rate": 3.337574930315286e-06, + "loss": 0.782, + "step": 21092 + }, + { + "epoch": 0.62, + "learning_rate": 3.3371262367793826e-06, + "loss": 0.4247, + "step": 21093 + }, + { + "epoch": 0.62, + "learning_rate": 3.336677558299497e-06, + "loss": 0.6582, + "step": 21094 + }, + { + "epoch": 0.62, + "learning_rate": 3.336228894879692e-06, + "loss": 0.8032, + "step": 21095 + }, + { + "epoch": 0.62, + "learning_rate": 3.3357802465240284e-06, + "loss": 0.8787, + "step": 21096 + }, + { + "epoch": 0.62, + "learning_rate": 3.3353316132365702e-06, + "loss": 1.0436, + "step": 21097 + }, + { + "epoch": 0.62, + "learning_rate": 3.3348829950213786e-06, + "loss": 0.8955, + "step": 21098 + }, + { + "epoch": 0.62, + "learning_rate": 3.334434391882515e-06, + "loss": 0.8405, + "step": 21099 + }, + { + "epoch": 0.62, + "learning_rate": 3.3339858038240415e-06, + "loss": 0.7524, + "step": 21100 + }, + { + "epoch": 0.62, + "learning_rate": 3.3335372308500184e-06, + "loss": 0.8923, + "step": 21101 + }, + { + "epoch": 0.62, + "learning_rate": 3.33308867296451e-06, + "loss": 0.7784, + "step": 21102 + }, + { + "epoch": 0.62, + "learning_rate": 3.332640130171576e-06, + "loss": 0.8843, + "step": 21103 + }, + { + "epoch": 0.62, + "learning_rate": 3.3321916024752785e-06, + "loss": 0.6087, + "step": 21104 + }, + { + "epoch": 0.62, + "learning_rate": 3.3317430898796777e-06, + "loss": 0.7043, + "step": 21105 + }, + { + "epoch": 0.62, + "learning_rate": 3.331294592388834e-06, + "loss": 0.5292, + "step": 21106 + }, + { + "epoch": 0.62, + "learning_rate": 3.330846110006809e-06, + "loss": 0.7783, + "step": 21107 + }, + { + "epoch": 0.62, + "learning_rate": 3.3303976427376637e-06, + "loss": 0.6477, + "step": 21108 + }, + { + "epoch": 0.62, + "learning_rate": 3.3299491905854573e-06, + "loss": 1.0382, + "step": 21109 + }, + { + "epoch": 0.62, + "learning_rate": 3.3295007535542523e-06, + "loss": 0.7542, + "step": 21110 + }, + { + "epoch": 0.62, + "learning_rate": 3.3290523316481047e-06, + "loss": 0.6575, + "step": 21111 + }, + { + "epoch": 0.62, + "learning_rate": 3.32860392487108e-06, + "loss": 0.62, + "step": 21112 + }, + { + "epoch": 0.62, + "learning_rate": 3.328155533227236e-06, + "loss": 0.6536, + "step": 21113 + }, + { + "epoch": 0.62, + "learning_rate": 3.327707156720632e-06, + "loss": 0.5565, + "step": 21114 + }, + { + "epoch": 0.62, + "learning_rate": 3.3272587953553282e-06, + "loss": 0.6575, + "step": 21115 + }, + { + "epoch": 0.62, + "learning_rate": 3.3268104491353836e-06, + "loss": 0.793, + "step": 21116 + }, + { + "epoch": 0.62, + "learning_rate": 3.3263621180648586e-06, + "loss": 0.8007, + "step": 21117 + }, + { + "epoch": 0.62, + "learning_rate": 3.325913802147811e-06, + "loss": 0.8703, + "step": 21118 + }, + { + "epoch": 0.62, + "learning_rate": 3.325465501388302e-06, + "loss": 0.5271, + "step": 21119 + }, + { + "epoch": 0.62, + "learning_rate": 3.3250172157903883e-06, + "loss": 0.6739, + "step": 21120 + }, + { + "epoch": 0.62, + "learning_rate": 3.32456894535813e-06, + "loss": 0.5948, + "step": 21121 + }, + { + "epoch": 0.62, + "learning_rate": 3.324120690095586e-06, + "loss": 0.777, + "step": 21122 + }, + { + "epoch": 0.62, + "learning_rate": 3.3236724500068142e-06, + "loss": 0.6146, + "step": 21123 + }, + { + "epoch": 0.62, + "learning_rate": 3.323224225095874e-06, + "loss": 0.7508, + "step": 21124 + }, + { + "epoch": 0.62, + "learning_rate": 3.322776015366823e-06, + "loss": 0.7431, + "step": 21125 + }, + { + "epoch": 0.62, + "learning_rate": 3.32232782082372e-06, + "loss": 0.8331, + "step": 21126 + }, + { + "epoch": 0.62, + "learning_rate": 3.3218796414706234e-06, + "loss": 0.8006, + "step": 21127 + }, + { + "epoch": 0.62, + "learning_rate": 3.321431477311589e-06, + "loss": 0.6567, + "step": 21128 + }, + { + "epoch": 0.62, + "learning_rate": 3.3209833283506764e-06, + "loss": 0.5625, + "step": 21129 + }, + { + "epoch": 0.62, + "learning_rate": 3.320535194591943e-06, + "loss": 0.8508, + "step": 21130 + }, + { + "epoch": 0.62, + "learning_rate": 3.3200870760394445e-06, + "loss": 0.7217, + "step": 21131 + }, + { + "epoch": 0.62, + "learning_rate": 3.319638972697241e-06, + "loss": 0.6293, + "step": 21132 + }, + { + "epoch": 0.62, + "learning_rate": 3.3191908845693886e-06, + "loss": 0.9615, + "step": 21133 + }, + { + "epoch": 0.62, + "learning_rate": 3.318742811659945e-06, + "loss": 0.5755, + "step": 21134 + }, + { + "epoch": 0.62, + "learning_rate": 3.318294753972966e-06, + "loss": 0.4668, + "step": 21135 + }, + { + "epoch": 0.62, + "learning_rate": 3.3178467115125095e-06, + "loss": 0.6718, + "step": 21136 + }, + { + "epoch": 0.62, + "learning_rate": 3.3173986842826313e-06, + "loss": 0.6932, + "step": 21137 + }, + { + "epoch": 0.62, + "learning_rate": 3.316950672287388e-06, + "loss": 1.0126, + "step": 21138 + }, + { + "epoch": 0.62, + "learning_rate": 3.316502675530837e-06, + "loss": 0.7133, + "step": 21139 + }, + { + "epoch": 0.62, + "learning_rate": 3.316054694017032e-06, + "loss": 0.8498, + "step": 21140 + }, + { + "epoch": 0.62, + "learning_rate": 3.315606727750032e-06, + "loss": 0.8349, + "step": 21141 + }, + { + "epoch": 0.62, + "learning_rate": 3.3151587767338922e-06, + "loss": 0.7868, + "step": 21142 + }, + { + "epoch": 0.62, + "learning_rate": 3.314710840972668e-06, + "loss": 0.6005, + "step": 21143 + }, + { + "epoch": 0.62, + "learning_rate": 3.3142629204704153e-06, + "loss": 0.7134, + "step": 21144 + }, + { + "epoch": 0.62, + "learning_rate": 3.3138150152311895e-06, + "loss": 0.6669, + "step": 21145 + }, + { + "epoch": 0.62, + "learning_rate": 3.313367125259046e-06, + "loss": 0.422, + "step": 21146 + }, + { + "epoch": 0.62, + "learning_rate": 3.312919250558041e-06, + "loss": 0.7476, + "step": 21147 + }, + { + "epoch": 0.62, + "learning_rate": 3.3124713911322283e-06, + "loss": 0.7469, + "step": 21148 + }, + { + "epoch": 0.62, + "learning_rate": 3.3120235469856633e-06, + "loss": 0.5694, + "step": 21149 + }, + { + "epoch": 0.62, + "learning_rate": 3.3115757181223996e-06, + "loss": 0.7999, + "step": 21150 + }, + { + "epoch": 0.62, + "learning_rate": 3.311127904546495e-06, + "loss": 0.6861, + "step": 21151 + }, + { + "epoch": 0.62, + "learning_rate": 3.3106801062620025e-06, + "loss": 0.7374, + "step": 21152 + }, + { + "epoch": 0.62, + "learning_rate": 3.3102323232729764e-06, + "loss": 0.7982, + "step": 21153 + }, + { + "epoch": 0.62, + "learning_rate": 3.309784555583472e-06, + "loss": 0.5717, + "step": 21154 + }, + { + "epoch": 0.62, + "learning_rate": 3.3093368031975425e-06, + "loss": 0.7415, + "step": 21155 + }, + { + "epoch": 0.62, + "learning_rate": 3.308889066119242e-06, + "loss": 0.7703, + "step": 21156 + }, + { + "epoch": 0.62, + "learning_rate": 3.308441344352624e-06, + "loss": 0.4472, + "step": 21157 + }, + { + "epoch": 0.62, + "learning_rate": 3.3079936379017437e-06, + "loss": 0.6012, + "step": 21158 + }, + { + "epoch": 0.62, + "learning_rate": 3.307545946770653e-06, + "loss": 0.7026, + "step": 21159 + }, + { + "epoch": 0.62, + "learning_rate": 3.307098270963406e-06, + "loss": 0.7019, + "step": 21160 + }, + { + "epoch": 0.62, + "learning_rate": 3.3066506104840567e-06, + "loss": 0.732, + "step": 21161 + }, + { + "epoch": 0.62, + "learning_rate": 3.306202965336659e-06, + "loss": 0.9014, + "step": 21162 + }, + { + "epoch": 0.62, + "learning_rate": 3.305755335525264e-06, + "loss": 0.9024, + "step": 21163 + }, + { + "epoch": 0.62, + "learning_rate": 3.3053077210539254e-06, + "loss": 0.8936, + "step": 21164 + }, + { + "epoch": 0.62, + "learning_rate": 3.3048601219266964e-06, + "loss": 0.6582, + "step": 21165 + }, + { + "epoch": 0.62, + "learning_rate": 3.3044125381476294e-06, + "loss": 0.4237, + "step": 21166 + }, + { + "epoch": 0.62, + "learning_rate": 3.3039649697207767e-06, + "loss": 0.7941, + "step": 21167 + }, + { + "epoch": 0.62, + "learning_rate": 3.3035174166501917e-06, + "loss": 0.8202, + "step": 21168 + }, + { + "epoch": 0.62, + "learning_rate": 3.3030698789399245e-06, + "loss": 0.4883, + "step": 21169 + }, + { + "epoch": 0.62, + "learning_rate": 3.3026223565940273e-06, + "loss": 0.5464, + "step": 21170 + }, + { + "epoch": 0.62, + "learning_rate": 3.302174849616555e-06, + "loss": 0.6633, + "step": 21171 + }, + { + "epoch": 0.62, + "learning_rate": 3.301727358011558e-06, + "loss": 0.812, + "step": 21172 + }, + { + "epoch": 0.62, + "learning_rate": 3.301279881783088e-06, + "loss": 0.6133, + "step": 21173 + }, + { + "epoch": 0.62, + "learning_rate": 3.300832420935196e-06, + "loss": 0.9773, + "step": 21174 + }, + { + "epoch": 0.62, + "learning_rate": 3.300384975471933e-06, + "loss": 0.6396, + "step": 21175 + }, + { + "epoch": 0.62, + "learning_rate": 3.2999375453973513e-06, + "loss": 0.6594, + "step": 21176 + }, + { + "epoch": 0.62, + "learning_rate": 3.2994901307155026e-06, + "loss": 0.6786, + "step": 21177 + }, + { + "epoch": 0.62, + "learning_rate": 3.2990427314304357e-06, + "loss": 0.5827, + "step": 21178 + }, + { + "epoch": 0.62, + "learning_rate": 3.298595347546203e-06, + "loss": 0.5748, + "step": 21179 + }, + { + "epoch": 0.62, + "learning_rate": 3.2981479790668545e-06, + "loss": 0.798, + "step": 21180 + }, + { + "epoch": 0.62, + "learning_rate": 3.2977006259964418e-06, + "loss": 0.6594, + "step": 21181 + }, + { + "epoch": 0.62, + "learning_rate": 3.297253288339014e-06, + "loss": 0.6603, + "step": 21182 + }, + { + "epoch": 0.62, + "learning_rate": 3.2968059660986228e-06, + "loss": 0.6026, + "step": 21183 + }, + { + "epoch": 0.62, + "learning_rate": 3.296358659279318e-06, + "loss": 0.7495, + "step": 21184 + }, + { + "epoch": 0.62, + "learning_rate": 3.2959113678851485e-06, + "loss": 0.8734, + "step": 21185 + }, + { + "epoch": 0.62, + "learning_rate": 3.2954640919201653e-06, + "loss": 0.9948, + "step": 21186 + }, + { + "epoch": 0.62, + "learning_rate": 3.295016831388418e-06, + "loss": 0.5363, + "step": 21187 + }, + { + "epoch": 0.62, + "learning_rate": 3.2945695862939553e-06, + "loss": 0.7818, + "step": 21188 + }, + { + "epoch": 0.62, + "learning_rate": 3.2941223566408276e-06, + "loss": 0.6323, + "step": 21189 + }, + { + "epoch": 0.62, + "learning_rate": 3.2936751424330826e-06, + "loss": 0.6695, + "step": 21190 + }, + { + "epoch": 0.62, + "learning_rate": 3.2932279436747718e-06, + "loss": 0.5508, + "step": 21191 + }, + { + "epoch": 0.62, + "learning_rate": 3.2927807603699435e-06, + "loss": 0.6299, + "step": 21192 + }, + { + "epoch": 0.62, + "learning_rate": 3.292333592522647e-06, + "loss": 0.7087, + "step": 21193 + }, + { + "epoch": 0.62, + "learning_rate": 3.2918864401369298e-06, + "loss": 1.0702, + "step": 21194 + }, + { + "epoch": 0.62, + "learning_rate": 3.291439303216841e-06, + "loss": 0.6713, + "step": 21195 + }, + { + "epoch": 0.62, + "learning_rate": 3.290992181766429e-06, + "loss": 0.8275, + "step": 21196 + }, + { + "epoch": 0.62, + "learning_rate": 3.290545075789743e-06, + "loss": 0.5865, + "step": 21197 + }, + { + "epoch": 0.62, + "learning_rate": 3.29009798529083e-06, + "loss": 0.9722, + "step": 21198 + }, + { + "epoch": 0.62, + "learning_rate": 3.289650910273738e-06, + "loss": 0.6303, + "step": 21199 + }, + { + "epoch": 0.62, + "learning_rate": 3.2892038507425163e-06, + "loss": 0.5539, + "step": 21200 + }, + { + "epoch": 0.62, + "learning_rate": 3.288756806701211e-06, + "loss": 0.5064, + "step": 21201 + }, + { + "epoch": 0.62, + "learning_rate": 3.288309778153872e-06, + "loss": 0.7579, + "step": 21202 + }, + { + "epoch": 0.62, + "learning_rate": 3.287862765104544e-06, + "loss": 0.7616, + "step": 21203 + }, + { + "epoch": 0.62, + "learning_rate": 3.2874157675572767e-06, + "loss": 0.7689, + "step": 21204 + }, + { + "epoch": 0.62, + "learning_rate": 3.286968785516116e-06, + "loss": 0.6954, + "step": 21205 + }, + { + "epoch": 0.62, + "learning_rate": 3.286521818985109e-06, + "loss": 0.4885, + "step": 21206 + }, + { + "epoch": 0.62, + "learning_rate": 3.2860748679683037e-06, + "loss": 0.7092, + "step": 21207 + }, + { + "epoch": 0.62, + "learning_rate": 3.2856279324697455e-06, + "loss": 0.8757, + "step": 21208 + }, + { + "epoch": 0.62, + "learning_rate": 3.2851810124934798e-06, + "loss": 0.7495, + "step": 21209 + }, + { + "epoch": 0.62, + "learning_rate": 3.2847341080435567e-06, + "loss": 0.5805, + "step": 21210 + }, + { + "epoch": 0.62, + "learning_rate": 3.2842872191240217e-06, + "loss": 0.7637, + "step": 21211 + }, + { + "epoch": 0.62, + "learning_rate": 3.283840345738919e-06, + "loss": 0.8724, + "step": 21212 + }, + { + "epoch": 0.62, + "learning_rate": 3.2833934878922967e-06, + "loss": 0.9727, + "step": 21213 + }, + { + "epoch": 0.62, + "learning_rate": 3.2829466455881996e-06, + "loss": 0.4918, + "step": 21214 + }, + { + "epoch": 0.62, + "learning_rate": 3.2824998188306745e-06, + "loss": 0.4909, + "step": 21215 + }, + { + "epoch": 0.62, + "learning_rate": 3.2820530076237654e-06, + "loss": 0.543, + "step": 21216 + }, + { + "epoch": 0.62, + "learning_rate": 3.281606211971519e-06, + "loss": 0.7601, + "step": 21217 + }, + { + "epoch": 0.62, + "learning_rate": 3.281159431877981e-06, + "loss": 0.5975, + "step": 21218 + }, + { + "epoch": 0.62, + "learning_rate": 3.2807126673471947e-06, + "loss": 0.7667, + "step": 21219 + }, + { + "epoch": 0.62, + "learning_rate": 3.280265918383208e-06, + "loss": 0.5605, + "step": 21220 + }, + { + "epoch": 0.62, + "learning_rate": 3.279819184990064e-06, + "loss": 0.6582, + "step": 21221 + }, + { + "epoch": 0.62, + "learning_rate": 3.2793724671718084e-06, + "loss": 0.7594, + "step": 21222 + }, + { + "epoch": 0.62, + "learning_rate": 3.278925764932486e-06, + "loss": 0.5114, + "step": 21223 + }, + { + "epoch": 0.62, + "learning_rate": 3.27847907827614e-06, + "loss": 0.5059, + "step": 21224 + }, + { + "epoch": 0.62, + "learning_rate": 3.278032407206816e-06, + "loss": 0.6069, + "step": 21225 + }, + { + "epoch": 0.62, + "learning_rate": 3.2775857517285583e-06, + "loss": 0.913, + "step": 21226 + }, + { + "epoch": 0.62, + "learning_rate": 3.27713911184541e-06, + "loss": 0.9106, + "step": 21227 + }, + { + "epoch": 0.62, + "learning_rate": 3.276692487561416e-06, + "loss": 0.8505, + "step": 21228 + }, + { + "epoch": 0.62, + "learning_rate": 3.2762458788806172e-06, + "loss": 0.838, + "step": 21229 + }, + { + "epoch": 0.62, + "learning_rate": 3.2757992858070626e-06, + "loss": 0.7037, + "step": 21230 + }, + { + "epoch": 0.62, + "learning_rate": 3.2753527083447924e-06, + "loss": 0.596, + "step": 21231 + }, + { + "epoch": 0.62, + "learning_rate": 3.2749061464978515e-06, + "loss": 0.5901, + "step": 21232 + }, + { + "epoch": 0.62, + "learning_rate": 3.274459600270282e-06, + "loss": 0.6131, + "step": 21233 + }, + { + "epoch": 0.62, + "learning_rate": 3.2740130696661272e-06, + "loss": 0.6561, + "step": 21234 + }, + { + "epoch": 0.62, + "learning_rate": 3.27356655468943e-06, + "loss": 0.818, + "step": 21235 + }, + { + "epoch": 0.62, + "learning_rate": 3.2731200553442343e-06, + "loss": 0.6783, + "step": 21236 + }, + { + "epoch": 0.62, + "learning_rate": 3.2726735716345814e-06, + "loss": 0.5326, + "step": 21237 + }, + { + "epoch": 0.62, + "learning_rate": 3.272227103564515e-06, + "loss": 0.8082, + "step": 21238 + }, + { + "epoch": 0.62, + "learning_rate": 3.2717806511380752e-06, + "loss": 0.6511, + "step": 21239 + }, + { + "epoch": 0.62, + "learning_rate": 3.2713342143593073e-06, + "loss": 0.5321, + "step": 21240 + }, + { + "epoch": 0.62, + "learning_rate": 3.2708877932322526e-06, + "loss": 0.7612, + "step": 21241 + }, + { + "epoch": 0.62, + "learning_rate": 3.270441387760952e-06, + "loss": 0.6823, + "step": 21242 + }, + { + "epoch": 0.62, + "learning_rate": 3.269994997949448e-06, + "loss": 0.7676, + "step": 21243 + }, + { + "epoch": 0.62, + "learning_rate": 3.2695486238017833e-06, + "loss": 0.7227, + "step": 21244 + }, + { + "epoch": 0.62, + "learning_rate": 3.2691022653219977e-06, + "loss": 0.575, + "step": 21245 + }, + { + "epoch": 0.62, + "learning_rate": 3.2686559225141335e-06, + "loss": 0.7174, + "step": 21246 + }, + { + "epoch": 0.62, + "learning_rate": 3.268209595382232e-06, + "loss": 0.5287, + "step": 21247 + }, + { + "epoch": 0.62, + "learning_rate": 3.2677632839303346e-06, + "loss": 0.6596, + "step": 21248 + }, + { + "epoch": 0.62, + "learning_rate": 3.2673169881624794e-06, + "loss": 0.8324, + "step": 21249 + }, + { + "epoch": 0.62, + "learning_rate": 3.2668707080827124e-06, + "loss": 0.6959, + "step": 21250 + }, + { + "epoch": 0.62, + "learning_rate": 3.266424443695071e-06, + "loss": 0.6854, + "step": 21251 + }, + { + "epoch": 0.62, + "learning_rate": 3.2659781950035973e-06, + "loss": 0.7397, + "step": 21252 + }, + { + "epoch": 0.62, + "learning_rate": 3.2655319620123303e-06, + "loss": 0.6594, + "step": 21253 + }, + { + "epoch": 0.62, + "learning_rate": 3.2650857447253116e-06, + "loss": 0.5182, + "step": 21254 + }, + { + "epoch": 0.62, + "learning_rate": 3.26463954314658e-06, + "loss": 0.7622, + "step": 21255 + }, + { + "epoch": 0.62, + "learning_rate": 3.2641933572801764e-06, + "loss": 0.6655, + "step": 21256 + }, + { + "epoch": 0.62, + "learning_rate": 3.2637471871301406e-06, + "loss": 0.6273, + "step": 21257 + }, + { + "epoch": 0.62, + "learning_rate": 3.263301032700512e-06, + "loss": 0.7633, + "step": 21258 + }, + { + "epoch": 0.62, + "learning_rate": 3.2628548939953292e-06, + "loss": 0.6098, + "step": 21259 + }, + { + "epoch": 0.62, + "learning_rate": 3.2624087710186335e-06, + "loss": 0.8159, + "step": 21260 + }, + { + "epoch": 0.62, + "learning_rate": 3.261962663774464e-06, + "loss": 0.6704, + "step": 21261 + }, + { + "epoch": 0.62, + "learning_rate": 3.2615165722668594e-06, + "loss": 0.6801, + "step": 21262 + }, + { + "epoch": 0.62, + "learning_rate": 3.2610704964998584e-06, + "loss": 1.0973, + "step": 21263 + }, + { + "epoch": 0.62, + "learning_rate": 3.2606244364775003e-06, + "loss": 0.6556, + "step": 21264 + }, + { + "epoch": 0.62, + "learning_rate": 3.2601783922038233e-06, + "loss": 0.7626, + "step": 21265 + }, + { + "epoch": 0.62, + "learning_rate": 3.2597323636828666e-06, + "loss": 0.6363, + "step": 21266 + }, + { + "epoch": 0.62, + "learning_rate": 3.259286350918668e-06, + "loss": 0.5963, + "step": 21267 + }, + { + "epoch": 0.62, + "learning_rate": 3.2588403539152646e-06, + "loss": 0.6918, + "step": 21268 + }, + { + "epoch": 0.62, + "learning_rate": 3.2583943726766975e-06, + "loss": 0.7185, + "step": 21269 + }, + { + "epoch": 0.62, + "learning_rate": 3.257948407207004e-06, + "loss": 0.8134, + "step": 21270 + }, + { + "epoch": 0.62, + "learning_rate": 3.257502457510221e-06, + "loss": 0.6114, + "step": 21271 + }, + { + "epoch": 0.62, + "learning_rate": 3.2570565235903863e-06, + "loss": 0.793, + "step": 21272 + }, + { + "epoch": 0.62, + "learning_rate": 3.2566106054515377e-06, + "loss": 0.6887, + "step": 21273 + }, + { + "epoch": 0.63, + "learning_rate": 3.2561647030977127e-06, + "loss": 0.718, + "step": 21274 + }, + { + "epoch": 0.63, + "learning_rate": 3.2557188165329477e-06, + "loss": 0.6153, + "step": 21275 + }, + { + "epoch": 0.63, + "learning_rate": 3.255272945761282e-06, + "loss": 0.7745, + "step": 21276 + }, + { + "epoch": 0.63, + "learning_rate": 3.254827090786751e-06, + "loss": 0.8729, + "step": 21277 + }, + { + "epoch": 0.63, + "learning_rate": 3.25438125161339e-06, + "loss": 0.525, + "step": 21278 + }, + { + "epoch": 0.63, + "learning_rate": 3.2539354282452394e-06, + "loss": 0.6508, + "step": 21279 + }, + { + "epoch": 0.63, + "learning_rate": 3.2534896206863333e-06, + "loss": 0.8802, + "step": 21280 + }, + { + "epoch": 0.63, + "learning_rate": 3.2530438289407095e-06, + "loss": 0.8695, + "step": 21281 + }, + { + "epoch": 0.63, + "learning_rate": 3.252598053012403e-06, + "loss": 0.4661, + "step": 21282 + }, + { + "epoch": 0.63, + "learning_rate": 3.2521522929054504e-06, + "loss": 0.4513, + "step": 21283 + }, + { + "epoch": 0.63, + "learning_rate": 3.2517065486238886e-06, + "loss": 0.7474, + "step": 21284 + }, + { + "epoch": 0.63, + "learning_rate": 3.2512608201717523e-06, + "loss": 0.7124, + "step": 21285 + }, + { + "epoch": 0.63, + "learning_rate": 3.250815107553077e-06, + "loss": 0.6774, + "step": 21286 + }, + { + "epoch": 0.63, + "learning_rate": 3.2503694107719e-06, + "loss": 0.6368, + "step": 21287 + }, + { + "epoch": 0.63, + "learning_rate": 3.2499237298322526e-06, + "loss": 0.6363, + "step": 21288 + }, + { + "epoch": 0.63, + "learning_rate": 3.2494780647381757e-06, + "loss": 0.502, + "step": 21289 + }, + { + "epoch": 0.63, + "learning_rate": 3.2490324154937013e-06, + "loss": 0.7546, + "step": 21290 + }, + { + "epoch": 0.63, + "learning_rate": 3.248586782102866e-06, + "loss": 0.5854, + "step": 21291 + }, + { + "epoch": 0.63, + "learning_rate": 3.248141164569703e-06, + "loss": 0.7421, + "step": 21292 + }, + { + "epoch": 0.63, + "learning_rate": 3.2476955628982476e-06, + "loss": 0.626, + "step": 21293 + }, + { + "epoch": 0.63, + "learning_rate": 3.247249977092535e-06, + "loss": 0.7519, + "step": 21294 + }, + { + "epoch": 0.63, + "learning_rate": 3.2468044071565986e-06, + "loss": 0.8702, + "step": 21295 + }, + { + "epoch": 0.63, + "learning_rate": 3.246358853094473e-06, + "loss": 0.6412, + "step": 21296 + }, + { + "epoch": 0.63, + "learning_rate": 3.2459133149101927e-06, + "loss": 0.7371, + "step": 21297 + }, + { + "epoch": 0.63, + "learning_rate": 3.2454677926077903e-06, + "loss": 0.5691, + "step": 21298 + }, + { + "epoch": 0.63, + "learning_rate": 3.2450222861913016e-06, + "loss": 0.6402, + "step": 21299 + }, + { + "epoch": 0.63, + "learning_rate": 3.24457679566476e-06, + "loss": 0.6306, + "step": 21300 + }, + { + "epoch": 0.63, + "learning_rate": 3.244131321032199e-06, + "loss": 0.7511, + "step": 21301 + }, + { + "epoch": 0.63, + "learning_rate": 3.243685862297651e-06, + "loss": 0.7785, + "step": 21302 + }, + { + "epoch": 0.63, + "learning_rate": 3.24324041946515e-06, + "loss": 0.4924, + "step": 21303 + }, + { + "epoch": 0.63, + "learning_rate": 3.242794992538729e-06, + "loss": 0.7397, + "step": 21304 + }, + { + "epoch": 0.63, + "learning_rate": 3.2423495815224216e-06, + "loss": 0.7928, + "step": 21305 + }, + { + "epoch": 0.63, + "learning_rate": 3.241904186420259e-06, + "loss": 0.5437, + "step": 21306 + }, + { + "epoch": 0.63, + "learning_rate": 3.2414588072362764e-06, + "loss": 0.7204, + "step": 21307 + }, + { + "epoch": 0.63, + "learning_rate": 3.2410134439745022e-06, + "loss": 0.6931, + "step": 21308 + }, + { + "epoch": 0.63, + "learning_rate": 3.240568096638974e-06, + "loss": 0.5592, + "step": 21309 + }, + { + "epoch": 0.63, + "learning_rate": 3.240122765233721e-06, + "loss": 0.7183, + "step": 21310 + }, + { + "epoch": 0.63, + "learning_rate": 3.2396774497627764e-06, + "loss": 0.8418, + "step": 21311 + }, + { + "epoch": 0.63, + "learning_rate": 3.2392321502301717e-06, + "loss": 0.752, + "step": 21312 + }, + { + "epoch": 0.63, + "learning_rate": 3.2387868666399387e-06, + "loss": 0.5677, + "step": 21313 + }, + { + "epoch": 0.63, + "learning_rate": 3.2383415989961094e-06, + "loss": 0.5869, + "step": 21314 + }, + { + "epoch": 0.63, + "learning_rate": 3.2378963473027147e-06, + "loss": 0.7971, + "step": 21315 + }, + { + "epoch": 0.63, + "learning_rate": 3.2374511115637865e-06, + "loss": 0.5835, + "step": 21316 + }, + { + "epoch": 0.63, + "learning_rate": 3.2370058917833564e-06, + "loss": 0.8854, + "step": 21317 + }, + { + "epoch": 0.63, + "learning_rate": 3.236560687965454e-06, + "loss": 1.0089, + "step": 21318 + }, + { + "epoch": 0.63, + "learning_rate": 3.236115500114112e-06, + "loss": 0.7662, + "step": 21319 + }, + { + "epoch": 0.63, + "learning_rate": 3.235670328233361e-06, + "loss": 0.7225, + "step": 21320 + }, + { + "epoch": 0.63, + "learning_rate": 3.235225172327231e-06, + "loss": 0.5601, + "step": 21321 + }, + { + "epoch": 0.63, + "learning_rate": 3.234780032399753e-06, + "loss": 0.8393, + "step": 21322 + }, + { + "epoch": 0.63, + "learning_rate": 3.2343349084549567e-06, + "loss": 0.5451, + "step": 21323 + }, + { + "epoch": 0.63, + "learning_rate": 3.2338898004968745e-06, + "loss": 0.664, + "step": 21324 + }, + { + "epoch": 0.63, + "learning_rate": 3.2334447085295335e-06, + "loss": 0.4758, + "step": 21325 + }, + { + "epoch": 0.63, + "learning_rate": 3.232999632556965e-06, + "loss": 0.6446, + "step": 21326 + }, + { + "epoch": 0.63, + "learning_rate": 3.2325545725831997e-06, + "loss": 0.5359, + "step": 21327 + }, + { + "epoch": 0.63, + "learning_rate": 3.232109528612263e-06, + "loss": 0.8317, + "step": 21328 + }, + { + "epoch": 0.63, + "learning_rate": 3.231664500648191e-06, + "loss": 0.5705, + "step": 21329 + }, + { + "epoch": 0.63, + "learning_rate": 3.23121948869501e-06, + "loss": 0.8281, + "step": 21330 + }, + { + "epoch": 0.63, + "learning_rate": 3.2307744927567484e-06, + "loss": 0.8133, + "step": 21331 + }, + { + "epoch": 0.63, + "learning_rate": 3.2303295128374366e-06, + "loss": 0.5323, + "step": 21332 + }, + { + "epoch": 0.63, + "learning_rate": 3.2298845489411028e-06, + "loss": 0.5703, + "step": 21333 + }, + { + "epoch": 0.63, + "learning_rate": 3.2294396010717766e-06, + "loss": 0.7445, + "step": 21334 + }, + { + "epoch": 0.63, + "learning_rate": 3.228994669233485e-06, + "loss": 0.7164, + "step": 21335 + }, + { + "epoch": 0.63, + "learning_rate": 3.228549753430258e-06, + "loss": 0.8358, + "step": 21336 + }, + { + "epoch": 0.63, + "learning_rate": 3.2281048536661217e-06, + "loss": 0.8053, + "step": 21337 + }, + { + "epoch": 0.63, + "learning_rate": 3.227659969945108e-06, + "loss": 0.6232, + "step": 21338 + }, + { + "epoch": 0.63, + "learning_rate": 3.227215102271243e-06, + "loss": 0.9249, + "step": 21339 + }, + { + "epoch": 0.63, + "learning_rate": 3.226770250648555e-06, + "loss": 0.7406, + "step": 21340 + }, + { + "epoch": 0.63, + "learning_rate": 3.2263254150810707e-06, + "loss": 0.8886, + "step": 21341 + }, + { + "epoch": 0.63, + "learning_rate": 3.2258805955728195e-06, + "loss": 0.7393, + "step": 21342 + }, + { + "epoch": 0.63, + "learning_rate": 3.225435792127829e-06, + "loss": 0.863, + "step": 21343 + }, + { + "epoch": 0.63, + "learning_rate": 3.2249910047501243e-06, + "loss": 0.8959, + "step": 21344 + }, + { + "epoch": 0.63, + "learning_rate": 3.224546233443733e-06, + "loss": 0.7738, + "step": 21345 + }, + { + "epoch": 0.63, + "learning_rate": 3.224101478212684e-06, + "loss": 0.6496, + "step": 21346 + }, + { + "epoch": 0.63, + "learning_rate": 3.223656739061001e-06, + "loss": 0.8049, + "step": 21347 + }, + { + "epoch": 0.63, + "learning_rate": 3.2232120159927137e-06, + "loss": 0.7564, + "step": 21348 + }, + { + "epoch": 0.63, + "learning_rate": 3.2227673090118493e-06, + "loss": 0.8365, + "step": 21349 + }, + { + "epoch": 0.63, + "learning_rate": 3.222322618122433e-06, + "loss": 0.7854, + "step": 21350 + }, + { + "epoch": 0.63, + "learning_rate": 3.22187794332849e-06, + "loss": 0.5674, + "step": 21351 + }, + { + "epoch": 0.63, + "learning_rate": 3.221433284634048e-06, + "loss": 0.8859, + "step": 21352 + }, + { + "epoch": 0.63, + "learning_rate": 3.2209886420431324e-06, + "loss": 0.6566, + "step": 21353 + }, + { + "epoch": 0.63, + "learning_rate": 3.22054401555977e-06, + "loss": 0.6085, + "step": 21354 + }, + { + "epoch": 0.63, + "learning_rate": 3.220099405187985e-06, + "loss": 0.767, + "step": 21355 + }, + { + "epoch": 0.63, + "learning_rate": 3.2196548109318045e-06, + "loss": 0.5745, + "step": 21356 + }, + { + "epoch": 0.63, + "learning_rate": 3.2192102327952503e-06, + "loss": 0.9526, + "step": 21357 + }, + { + "epoch": 0.63, + "learning_rate": 3.2187656707823533e-06, + "loss": 0.5381, + "step": 21358 + }, + { + "epoch": 0.63, + "learning_rate": 3.218321124897136e-06, + "loss": 0.6634, + "step": 21359 + }, + { + "epoch": 0.63, + "learning_rate": 3.217876595143623e-06, + "loss": 0.7061, + "step": 21360 + }, + { + "epoch": 0.63, + "learning_rate": 3.21743208152584e-06, + "loss": 0.9063, + "step": 21361 + }, + { + "epoch": 0.63, + "learning_rate": 3.2169875840478113e-06, + "loss": 0.5283, + "step": 21362 + }, + { + "epoch": 0.63, + "learning_rate": 3.216543102713561e-06, + "loss": 0.745, + "step": 21363 + }, + { + "epoch": 0.63, + "learning_rate": 3.2160986375271146e-06, + "loss": 0.6551, + "step": 21364 + }, + { + "epoch": 0.63, + "learning_rate": 3.2156541884924957e-06, + "loss": 0.8672, + "step": 21365 + }, + { + "epoch": 0.63, + "learning_rate": 3.2152097556137284e-06, + "loss": 0.5243, + "step": 21366 + }, + { + "epoch": 0.63, + "learning_rate": 3.2147653388948365e-06, + "loss": 0.6327, + "step": 21367 + }, + { + "epoch": 0.63, + "learning_rate": 3.2143209383398442e-06, + "loss": 0.6834, + "step": 21368 + }, + { + "epoch": 0.63, + "learning_rate": 3.213876553952775e-06, + "loss": 0.6641, + "step": 21369 + }, + { + "epoch": 0.63, + "learning_rate": 3.2134321857376537e-06, + "loss": 0.5086, + "step": 21370 + }, + { + "epoch": 0.63, + "learning_rate": 3.212987833698502e-06, + "loss": 0.8673, + "step": 21371 + }, + { + "epoch": 0.63, + "learning_rate": 3.212543497839344e-06, + "loss": 0.7102, + "step": 21372 + }, + { + "epoch": 0.63, + "learning_rate": 3.212099178164202e-06, + "loss": 0.8354, + "step": 21373 + }, + { + "epoch": 0.63, + "learning_rate": 3.2116548746771004e-06, + "loss": 0.5005, + "step": 21374 + }, + { + "epoch": 0.63, + "learning_rate": 3.211210587382061e-06, + "loss": 0.5427, + "step": 21375 + }, + { + "epoch": 0.63, + "learning_rate": 3.210766316283106e-06, + "loss": 0.6526, + "step": 21376 + }, + { + "epoch": 0.63, + "learning_rate": 3.2103220613842572e-06, + "loss": 0.6859, + "step": 21377 + }, + { + "epoch": 0.63, + "learning_rate": 3.2098778226895405e-06, + "loss": 0.7163, + "step": 21378 + }, + { + "epoch": 0.63, + "learning_rate": 3.209433600202976e-06, + "loss": 0.608, + "step": 21379 + }, + { + "epoch": 0.63, + "learning_rate": 3.2089893939285853e-06, + "loss": 0.5442, + "step": 21380 + }, + { + "epoch": 0.63, + "learning_rate": 3.208545203870391e-06, + "loss": 0.703, + "step": 21381 + }, + { + "epoch": 0.63, + "learning_rate": 3.2081010300324146e-06, + "loss": 0.7849, + "step": 21382 + }, + { + "epoch": 0.63, + "learning_rate": 3.2076568724186787e-06, + "loss": 0.659, + "step": 21383 + }, + { + "epoch": 0.63, + "learning_rate": 3.207212731033203e-06, + "loss": 0.7341, + "step": 21384 + }, + { + "epoch": 0.63, + "learning_rate": 3.2067686058800104e-06, + "loss": 0.7273, + "step": 21385 + }, + { + "epoch": 0.63, + "learning_rate": 3.2063244969631214e-06, + "loss": 0.4756, + "step": 21386 + }, + { + "epoch": 0.63, + "learning_rate": 3.2058804042865556e-06, + "loss": 0.8105, + "step": 21387 + }, + { + "epoch": 0.63, + "learning_rate": 3.2054363278543365e-06, + "loss": 0.7712, + "step": 21388 + }, + { + "epoch": 0.63, + "learning_rate": 3.204992267670485e-06, + "loss": 0.5701, + "step": 21389 + }, + { + "epoch": 0.63, + "learning_rate": 3.20454822373902e-06, + "loss": 0.732, + "step": 21390 + }, + { + "epoch": 0.63, + "learning_rate": 3.204104196063962e-06, + "loss": 0.7246, + "step": 21391 + }, + { + "epoch": 0.63, + "learning_rate": 3.203660184649332e-06, + "loss": 0.6582, + "step": 21392 + }, + { + "epoch": 0.63, + "learning_rate": 3.203216189499151e-06, + "loss": 0.7115, + "step": 21393 + }, + { + "epoch": 0.63, + "learning_rate": 3.202772210617437e-06, + "loss": 1.0796, + "step": 21394 + }, + { + "epoch": 0.63, + "learning_rate": 3.2023282480082114e-06, + "loss": 0.6135, + "step": 21395 + }, + { + "epoch": 0.63, + "learning_rate": 3.2018843016754913e-06, + "loss": 0.7383, + "step": 21396 + }, + { + "epoch": 0.63, + "learning_rate": 3.2014403716233006e-06, + "loss": 0.7821, + "step": 21397 + }, + { + "epoch": 0.63, + "learning_rate": 3.2009964578556563e-06, + "loss": 0.6283, + "step": 21398 + }, + { + "epoch": 0.63, + "learning_rate": 3.2005525603765787e-06, + "loss": 0.7414, + "step": 21399 + }, + { + "epoch": 0.63, + "learning_rate": 3.200108679190086e-06, + "loss": 0.7043, + "step": 21400 + }, + { + "epoch": 0.63, + "learning_rate": 3.1996648143001966e-06, + "loss": 0.4956, + "step": 21401 + }, + { + "epoch": 0.63, + "learning_rate": 3.1992209657109308e-06, + "loss": 0.6982, + "step": 21402 + }, + { + "epoch": 0.63, + "learning_rate": 3.198777133426307e-06, + "loss": 0.5782, + "step": 21403 + }, + { + "epoch": 0.63, + "learning_rate": 3.198333317450343e-06, + "loss": 0.7339, + "step": 21404 + }, + { + "epoch": 0.63, + "learning_rate": 3.197889517787058e-06, + "loss": 0.739, + "step": 21405 + }, + { + "epoch": 0.63, + "learning_rate": 3.1974457344404687e-06, + "loss": 0.5378, + "step": 21406 + }, + { + "epoch": 0.63, + "learning_rate": 3.197001967414595e-06, + "loss": 0.8521, + "step": 21407 + }, + { + "epoch": 0.63, + "learning_rate": 3.1965582167134547e-06, + "loss": 0.8026, + "step": 21408 + }, + { + "epoch": 0.63, + "learning_rate": 3.196114482341065e-06, + "loss": 0.6722, + "step": 21409 + }, + { + "epoch": 0.63, + "learning_rate": 3.1956707643014438e-06, + "loss": 0.8786, + "step": 21410 + }, + { + "epoch": 0.63, + "learning_rate": 3.1952270625986092e-06, + "loss": 0.6009, + "step": 21411 + }, + { + "epoch": 0.63, + "learning_rate": 3.1947833772365776e-06, + "loss": 0.5692, + "step": 21412 + }, + { + "epoch": 0.63, + "learning_rate": 3.194339708219366e-06, + "loss": 0.8086, + "step": 21413 + }, + { + "epoch": 0.63, + "learning_rate": 3.193896055550992e-06, + "loss": 0.7642, + "step": 21414 + }, + { + "epoch": 0.63, + "learning_rate": 3.1934524192354738e-06, + "loss": 0.9212, + "step": 21415 + }, + { + "epoch": 0.63, + "learning_rate": 3.193008799276824e-06, + "loss": 0.7795, + "step": 21416 + }, + { + "epoch": 0.63, + "learning_rate": 3.1925651956790644e-06, + "loss": 0.8177, + "step": 21417 + }, + { + "epoch": 0.63, + "learning_rate": 3.1921216084462093e-06, + "loss": 0.796, + "step": 21418 + }, + { + "epoch": 0.63, + "learning_rate": 3.1916780375822743e-06, + "loss": 0.5081, + "step": 21419 + }, + { + "epoch": 0.63, + "learning_rate": 3.1912344830912774e-06, + "loss": 0.6581, + "step": 21420 + }, + { + "epoch": 0.63, + "learning_rate": 3.1907909449772327e-06, + "loss": 0.7834, + "step": 21421 + }, + { + "epoch": 0.63, + "learning_rate": 3.190347423244157e-06, + "loss": 0.4999, + "step": 21422 + }, + { + "epoch": 0.63, + "learning_rate": 3.1899039178960667e-06, + "loss": 0.8, + "step": 21423 + }, + { + "epoch": 0.63, + "learning_rate": 3.1894604289369757e-06, + "loss": 0.5838, + "step": 21424 + }, + { + "epoch": 0.63, + "learning_rate": 3.1890169563709005e-06, + "loss": 0.5947, + "step": 21425 + }, + { + "epoch": 0.63, + "learning_rate": 3.188573500201856e-06, + "loss": 0.8407, + "step": 21426 + }, + { + "epoch": 0.63, + "learning_rate": 3.188130060433858e-06, + "loss": 0.8815, + "step": 21427 + }, + { + "epoch": 0.63, + "learning_rate": 3.1876866370709213e-06, + "loss": 0.4144, + "step": 21428 + }, + { + "epoch": 0.63, + "learning_rate": 3.187243230117061e-06, + "loss": 0.5095, + "step": 21429 + }, + { + "epoch": 0.63, + "learning_rate": 3.1867998395762904e-06, + "loss": 0.7393, + "step": 21430 + }, + { + "epoch": 0.63, + "learning_rate": 3.1863564654526257e-06, + "loss": 0.5659, + "step": 21431 + }, + { + "epoch": 0.63, + "learning_rate": 3.1859131077500804e-06, + "loss": 0.6133, + "step": 21432 + }, + { + "epoch": 0.63, + "learning_rate": 3.18546976647267e-06, + "loss": 0.7185, + "step": 21433 + }, + { + "epoch": 0.63, + "learning_rate": 3.1850264416244065e-06, + "loss": 0.8835, + "step": 21434 + }, + { + "epoch": 0.63, + "learning_rate": 3.1845831332093045e-06, + "loss": 0.8794, + "step": 21435 + }, + { + "epoch": 0.63, + "learning_rate": 3.1841398412313774e-06, + "loss": 1.0112, + "step": 21436 + }, + { + "epoch": 0.63, + "learning_rate": 3.183696565694642e-06, + "loss": 0.6687, + "step": 21437 + }, + { + "epoch": 0.63, + "learning_rate": 3.1832533066031085e-06, + "loss": 0.7188, + "step": 21438 + }, + { + "epoch": 0.63, + "learning_rate": 3.1828100639607916e-06, + "loss": 0.6797, + "step": 21439 + }, + { + "epoch": 0.63, + "learning_rate": 3.1823668377717043e-06, + "loss": 0.6778, + "step": 21440 + }, + { + "epoch": 0.63, + "learning_rate": 3.18192362803986e-06, + "loss": 0.7949, + "step": 21441 + }, + { + "epoch": 0.63, + "learning_rate": 3.1814804347692706e-06, + "loss": 0.7418, + "step": 21442 + }, + { + "epoch": 0.63, + "learning_rate": 3.1810372579639494e-06, + "loss": 0.9559, + "step": 21443 + }, + { + "epoch": 0.63, + "learning_rate": 3.180594097627909e-06, + "loss": 0.7409, + "step": 21444 + }, + { + "epoch": 0.63, + "learning_rate": 3.1801509537651633e-06, + "loss": 0.7261, + "step": 21445 + }, + { + "epoch": 0.63, + "learning_rate": 3.179707826379721e-06, + "loss": 0.8655, + "step": 21446 + }, + { + "epoch": 0.63, + "learning_rate": 3.1792647154755978e-06, + "loss": 0.7626, + "step": 21447 + }, + { + "epoch": 0.63, + "learning_rate": 3.1788216210568045e-06, + "loss": 0.8729, + "step": 21448 + }, + { + "epoch": 0.63, + "learning_rate": 3.178378543127353e-06, + "loss": 0.4596, + "step": 21449 + }, + { + "epoch": 0.63, + "learning_rate": 3.1779354816912555e-06, + "loss": 0.8579, + "step": 21450 + }, + { + "epoch": 0.63, + "learning_rate": 3.1774924367525224e-06, + "loss": 0.6129, + "step": 21451 + }, + { + "epoch": 0.63, + "learning_rate": 3.177049408315166e-06, + "loss": 0.7048, + "step": 21452 + }, + { + "epoch": 0.63, + "learning_rate": 3.1766063963831974e-06, + "loss": 0.667, + "step": 21453 + }, + { + "epoch": 0.63, + "learning_rate": 3.176163400960627e-06, + "loss": 0.4835, + "step": 21454 + }, + { + "epoch": 0.63, + "learning_rate": 3.175720422051467e-06, + "loss": 0.5671, + "step": 21455 + }, + { + "epoch": 0.63, + "learning_rate": 3.1752774596597256e-06, + "loss": 0.8174, + "step": 21456 + }, + { + "epoch": 0.63, + "learning_rate": 3.1748345137894176e-06, + "loss": 0.8319, + "step": 21457 + }, + { + "epoch": 0.63, + "learning_rate": 3.1743915844445517e-06, + "loss": 0.9968, + "step": 21458 + }, + { + "epoch": 0.63, + "learning_rate": 3.173948671629138e-06, + "loss": 0.7021, + "step": 21459 + }, + { + "epoch": 0.63, + "learning_rate": 3.1735057753471866e-06, + "loss": 0.6828, + "step": 21460 + }, + { + "epoch": 0.63, + "learning_rate": 3.1730628956027075e-06, + "loss": 0.6973, + "step": 21461 + }, + { + "epoch": 0.63, + "learning_rate": 3.172620032399711e-06, + "loss": 0.7346, + "step": 21462 + }, + { + "epoch": 0.63, + "learning_rate": 3.172177185742207e-06, + "loss": 0.5885, + "step": 21463 + }, + { + "epoch": 0.63, + "learning_rate": 3.171734355634205e-06, + "loss": 0.7951, + "step": 21464 + }, + { + "epoch": 0.63, + "learning_rate": 3.171291542079713e-06, + "loss": 0.742, + "step": 21465 + }, + { + "epoch": 0.63, + "learning_rate": 3.170848745082743e-06, + "loss": 0.741, + "step": 21466 + }, + { + "epoch": 0.63, + "learning_rate": 3.1704059646473028e-06, + "loss": 0.5493, + "step": 21467 + }, + { + "epoch": 0.63, + "learning_rate": 3.169963200777402e-06, + "loss": 1.0592, + "step": 21468 + }, + { + "epoch": 0.63, + "learning_rate": 3.1695204534770484e-06, + "loss": 0.7792, + "step": 21469 + }, + { + "epoch": 0.63, + "learning_rate": 3.169077722750251e-06, + "loss": 0.6694, + "step": 21470 + }, + { + "epoch": 0.63, + "learning_rate": 3.16863500860102e-06, + "loss": 1.0321, + "step": 21471 + }, + { + "epoch": 0.63, + "learning_rate": 3.1681923110333614e-06, + "loss": 0.5589, + "step": 21472 + }, + { + "epoch": 0.63, + "learning_rate": 3.1677496300512845e-06, + "loss": 0.6951, + "step": 21473 + }, + { + "epoch": 0.63, + "learning_rate": 3.1673069656587984e-06, + "loss": 0.4867, + "step": 21474 + }, + { + "epoch": 0.63, + "learning_rate": 3.166864317859908e-06, + "loss": 0.752, + "step": 21475 + }, + { + "epoch": 0.63, + "learning_rate": 3.1664216866586244e-06, + "loss": 0.6663, + "step": 21476 + }, + { + "epoch": 0.63, + "learning_rate": 3.165979072058955e-06, + "loss": 0.8225, + "step": 21477 + }, + { + "epoch": 0.63, + "learning_rate": 3.1655364740649064e-06, + "loss": 0.6252, + "step": 21478 + }, + { + "epoch": 0.63, + "learning_rate": 3.1650938926804862e-06, + "loss": 0.8558, + "step": 21479 + }, + { + "epoch": 0.63, + "learning_rate": 3.164651327909702e-06, + "loss": 0.6691, + "step": 21480 + }, + { + "epoch": 0.63, + "learning_rate": 3.16420877975656e-06, + "loss": 0.8893, + "step": 21481 + }, + { + "epoch": 0.63, + "learning_rate": 3.1637662482250673e-06, + "loss": 0.9424, + "step": 21482 + }, + { + "epoch": 0.63, + "learning_rate": 3.1633237333192313e-06, + "loss": 0.7795, + "step": 21483 + }, + { + "epoch": 0.63, + "learning_rate": 3.162881235043058e-06, + "loss": 0.6783, + "step": 21484 + }, + { + "epoch": 0.63, + "learning_rate": 3.162438753400554e-06, + "loss": 0.8778, + "step": 21485 + }, + { + "epoch": 0.63, + "learning_rate": 3.161996288395726e-06, + "loss": 0.5098, + "step": 21486 + }, + { + "epoch": 0.63, + "learning_rate": 3.1615538400325796e-06, + "loss": 0.6306, + "step": 21487 + }, + { + "epoch": 0.63, + "learning_rate": 3.1611114083151217e-06, + "loss": 0.7587, + "step": 21488 + }, + { + "epoch": 0.63, + "learning_rate": 3.160668993247358e-06, + "loss": 0.8279, + "step": 21489 + }, + { + "epoch": 0.63, + "learning_rate": 3.160226594833293e-06, + "loss": 0.7784, + "step": 21490 + }, + { + "epoch": 0.63, + "learning_rate": 3.159784213076934e-06, + "loss": 0.6114, + "step": 21491 + }, + { + "epoch": 0.63, + "learning_rate": 3.1593418479822845e-06, + "loss": 0.7191, + "step": 21492 + }, + { + "epoch": 0.63, + "learning_rate": 3.1588994995533517e-06, + "loss": 1.0266, + "step": 21493 + }, + { + "epoch": 0.63, + "learning_rate": 3.1584571677941396e-06, + "loss": 0.6509, + "step": 21494 + }, + { + "epoch": 0.63, + "learning_rate": 3.1580148527086512e-06, + "loss": 0.8915, + "step": 21495 + }, + { + "epoch": 0.63, + "learning_rate": 3.1575725543008956e-06, + "loss": 0.4928, + "step": 21496 + }, + { + "epoch": 0.63, + "learning_rate": 3.1571302725748753e-06, + "loss": 0.7977, + "step": 21497 + }, + { + "epoch": 0.63, + "learning_rate": 3.156688007534595e-06, + "loss": 0.7127, + "step": 21498 + }, + { + "epoch": 0.63, + "learning_rate": 3.156245759184059e-06, + "loss": 0.7704, + "step": 21499 + }, + { + "epoch": 0.63, + "learning_rate": 3.1558035275272714e-06, + "loss": 0.6698, + "step": 21500 + }, + { + "epoch": 0.63, + "learning_rate": 3.155361312568237e-06, + "loss": 0.8025, + "step": 21501 + }, + { + "epoch": 0.63, + "learning_rate": 3.1549191143109582e-06, + "loss": 0.5086, + "step": 21502 + }, + { + "epoch": 0.63, + "learning_rate": 3.1544769327594394e-06, + "loss": 0.6541, + "step": 21503 + }, + { + "epoch": 0.63, + "learning_rate": 3.1540347679176855e-06, + "loss": 0.5861, + "step": 21504 + }, + { + "epoch": 0.63, + "learning_rate": 3.1535926197896966e-06, + "loss": 0.899, + "step": 21505 + }, + { + "epoch": 0.63, + "learning_rate": 3.15315048837948e-06, + "loss": 0.7523, + "step": 21506 + }, + { + "epoch": 0.63, + "learning_rate": 3.1527083736910367e-06, + "loss": 0.629, + "step": 21507 + }, + { + "epoch": 0.63, + "learning_rate": 3.1522662757283704e-06, + "loss": 0.5578, + "step": 21508 + }, + { + "epoch": 0.63, + "learning_rate": 3.151824194495484e-06, + "loss": 0.5068, + "step": 21509 + }, + { + "epoch": 0.63, + "learning_rate": 3.151382129996379e-06, + "loss": 0.7461, + "step": 21510 + }, + { + "epoch": 0.63, + "learning_rate": 3.15094008223506e-06, + "loss": 0.7682, + "step": 21511 + }, + { + "epoch": 0.63, + "learning_rate": 3.150498051215527e-06, + "loss": 0.4191, + "step": 21512 + }, + { + "epoch": 0.63, + "learning_rate": 3.1500560369417845e-06, + "loss": 0.69, + "step": 21513 + }, + { + "epoch": 0.63, + "learning_rate": 3.149614039417833e-06, + "loss": 0.7829, + "step": 21514 + }, + { + "epoch": 0.63, + "learning_rate": 3.1491720586476727e-06, + "loss": 0.8441, + "step": 21515 + }, + { + "epoch": 0.63, + "learning_rate": 3.1487300946353104e-06, + "loss": 0.5244, + "step": 21516 + }, + { + "epoch": 0.63, + "learning_rate": 3.1482881473847447e-06, + "loss": 0.6949, + "step": 21517 + }, + { + "epoch": 0.63, + "learning_rate": 3.147846216899977e-06, + "loss": 0.6991, + "step": 21518 + }, + { + "epoch": 0.63, + "learning_rate": 3.14740430318501e-06, + "loss": 0.6709, + "step": 21519 + }, + { + "epoch": 0.63, + "learning_rate": 3.146962406243843e-06, + "loss": 0.6675, + "step": 21520 + }, + { + "epoch": 0.63, + "learning_rate": 3.1465205260804783e-06, + "loss": 0.6978, + "step": 21521 + }, + { + "epoch": 0.63, + "learning_rate": 3.146078662698916e-06, + "loss": 0.7694, + "step": 21522 + }, + { + "epoch": 0.63, + "learning_rate": 3.145636816103158e-06, + "loss": 0.9231, + "step": 21523 + }, + { + "epoch": 0.63, + "learning_rate": 3.1451949862972037e-06, + "loss": 0.6893, + "step": 21524 + }, + { + "epoch": 0.63, + "learning_rate": 3.1447531732850535e-06, + "loss": 0.6212, + "step": 21525 + }, + { + "epoch": 0.63, + "learning_rate": 3.144311377070708e-06, + "loss": 0.8154, + "step": 21526 + }, + { + "epoch": 0.63, + "learning_rate": 3.1438695976581677e-06, + "loss": 0.8632, + "step": 21527 + }, + { + "epoch": 0.63, + "learning_rate": 3.1434278350514337e-06, + "loss": 0.9671, + "step": 21528 + }, + { + "epoch": 0.63, + "learning_rate": 3.142986089254503e-06, + "loss": 0.644, + "step": 21529 + }, + { + "epoch": 0.63, + "learning_rate": 3.1425443602713766e-06, + "loss": 0.6707, + "step": 21530 + }, + { + "epoch": 0.63, + "learning_rate": 3.142102648106055e-06, + "loss": 0.6463, + "step": 21531 + }, + { + "epoch": 0.63, + "learning_rate": 3.1416609527625365e-06, + "loss": 0.536, + "step": 21532 + }, + { + "epoch": 0.63, + "learning_rate": 3.14121927424482e-06, + "loss": 0.6604, + "step": 21533 + }, + { + "epoch": 0.63, + "learning_rate": 3.1407776125569036e-06, + "loss": 0.8225, + "step": 21534 + }, + { + "epoch": 0.63, + "learning_rate": 3.140335967702789e-06, + "loss": 0.7992, + "step": 21535 + }, + { + "epoch": 0.63, + "learning_rate": 3.1398943396864733e-06, + "loss": 0.6682, + "step": 21536 + }, + { + "epoch": 0.63, + "learning_rate": 3.139452728511956e-06, + "loss": 0.7858, + "step": 21537 + }, + { + "epoch": 0.63, + "learning_rate": 3.1390111341832347e-06, + "loss": 0.6729, + "step": 21538 + }, + { + "epoch": 0.63, + "learning_rate": 3.138569556704308e-06, + "loss": 0.6648, + "step": 21539 + }, + { + "epoch": 0.63, + "learning_rate": 3.1381279960791734e-06, + "loss": 0.6148, + "step": 21540 + }, + { + "epoch": 0.63, + "learning_rate": 3.13768645231183e-06, + "loss": 0.7108, + "step": 21541 + }, + { + "epoch": 0.63, + "learning_rate": 3.1372449254062747e-06, + "loss": 0.8313, + "step": 21542 + }, + { + "epoch": 0.63, + "learning_rate": 3.136803415366506e-06, + "loss": 1.1194, + "step": 21543 + }, + { + "epoch": 0.63, + "learning_rate": 3.136361922196519e-06, + "loss": 0.856, + "step": 21544 + }, + { + "epoch": 0.63, + "learning_rate": 3.1359204459003146e-06, + "loss": 0.7801, + "step": 21545 + }, + { + "epoch": 0.63, + "learning_rate": 3.135478986481889e-06, + "loss": 0.6526, + "step": 21546 + }, + { + "epoch": 0.63, + "learning_rate": 3.135037543945238e-06, + "loss": 0.687, + "step": 21547 + }, + { + "epoch": 0.63, + "learning_rate": 3.1345961182943597e-06, + "loss": 0.6687, + "step": 21548 + }, + { + "epoch": 0.63, + "learning_rate": 3.13415470953325e-06, + "loss": 0.6924, + "step": 21549 + }, + { + "epoch": 0.63, + "learning_rate": 3.1337133176659056e-06, + "loss": 0.784, + "step": 21550 + }, + { + "epoch": 0.63, + "learning_rate": 3.1332719426963236e-06, + "loss": 0.5558, + "step": 21551 + }, + { + "epoch": 0.63, + "learning_rate": 3.1328305846285e-06, + "loss": 0.7721, + "step": 21552 + }, + { + "epoch": 0.63, + "learning_rate": 3.1323892434664305e-06, + "loss": 0.9525, + "step": 21553 + }, + { + "epoch": 0.63, + "learning_rate": 3.13194791921411e-06, + "loss": 0.8515, + "step": 21554 + }, + { + "epoch": 0.63, + "learning_rate": 3.1315066118755377e-06, + "loss": 0.6206, + "step": 21555 + }, + { + "epoch": 0.63, + "learning_rate": 3.1310653214547075e-06, + "loss": 0.8724, + "step": 21556 + }, + { + "epoch": 0.63, + "learning_rate": 3.1306240479556148e-06, + "loss": 0.8585, + "step": 21557 + }, + { + "epoch": 0.63, + "learning_rate": 3.130182791382256e-06, + "loss": 0.8348, + "step": 21558 + }, + { + "epoch": 0.63, + "learning_rate": 3.129741551738624e-06, + "loss": 0.6662, + "step": 21559 + }, + { + "epoch": 0.63, + "learning_rate": 3.129300329028716e-06, + "loss": 0.6481, + "step": 21560 + }, + { + "epoch": 0.63, + "learning_rate": 3.128859123256526e-06, + "loss": 0.4111, + "step": 21561 + }, + { + "epoch": 0.63, + "learning_rate": 3.128417934426049e-06, + "loss": 1.0425, + "step": 21562 + }, + { + "epoch": 0.63, + "learning_rate": 3.127976762541279e-06, + "loss": 0.6811, + "step": 21563 + }, + { + "epoch": 0.63, + "learning_rate": 3.1275356076062115e-06, + "loss": 0.7607, + "step": 21564 + }, + { + "epoch": 0.63, + "learning_rate": 3.12709446962484e-06, + "loss": 0.6286, + "step": 21565 + }, + { + "epoch": 0.63, + "learning_rate": 3.12665334860116e-06, + "loss": 0.8639, + "step": 21566 + }, + { + "epoch": 0.63, + "learning_rate": 3.126212244539164e-06, + "loss": 0.8109, + "step": 21567 + }, + { + "epoch": 0.63, + "learning_rate": 3.1257711574428463e-06, + "loss": 0.6582, + "step": 21568 + }, + { + "epoch": 0.63, + "learning_rate": 3.1253300873162007e-06, + "loss": 1.0659, + "step": 21569 + }, + { + "epoch": 0.63, + "learning_rate": 3.124889034163221e-06, + "loss": 0.5147, + "step": 21570 + }, + { + "epoch": 0.63, + "learning_rate": 3.1244479979879005e-06, + "loss": 0.6011, + "step": 21571 + }, + { + "epoch": 0.63, + "learning_rate": 3.1240069787942316e-06, + "loss": 0.8037, + "step": 21572 + }, + { + "epoch": 0.63, + "learning_rate": 3.1235659765862085e-06, + "loss": 0.6574, + "step": 21573 + }, + { + "epoch": 0.63, + "learning_rate": 3.123124991367822e-06, + "loss": 0.9339, + "step": 21574 + }, + { + "epoch": 0.63, + "learning_rate": 3.1226840231430676e-06, + "loss": 0.658, + "step": 21575 + }, + { + "epoch": 0.63, + "learning_rate": 3.1222430719159374e-06, + "loss": 0.7086, + "step": 21576 + }, + { + "epoch": 0.63, + "learning_rate": 3.1218021376904233e-06, + "loss": 0.409, + "step": 21577 + }, + { + "epoch": 0.63, + "learning_rate": 3.1213612204705177e-06, + "loss": 0.7523, + "step": 21578 + }, + { + "epoch": 0.63, + "learning_rate": 3.120920320260213e-06, + "loss": 1.0696, + "step": 21579 + }, + { + "epoch": 0.63, + "learning_rate": 3.1204794370635007e-06, + "loss": 0.7291, + "step": 21580 + }, + { + "epoch": 0.63, + "learning_rate": 3.120038570884373e-06, + "loss": 0.773, + "step": 21581 + }, + { + "epoch": 0.63, + "learning_rate": 3.119597721726821e-06, + "loss": 0.7321, + "step": 21582 + }, + { + "epoch": 0.63, + "learning_rate": 3.1191568895948364e-06, + "loss": 0.7488, + "step": 21583 + }, + { + "epoch": 0.63, + "learning_rate": 3.1187160744924107e-06, + "loss": 0.7567, + "step": 21584 + }, + { + "epoch": 0.63, + "learning_rate": 3.118275276423536e-06, + "loss": 0.7555, + "step": 21585 + }, + { + "epoch": 0.63, + "learning_rate": 3.1178344953922024e-06, + "loss": 0.8688, + "step": 21586 + }, + { + "epoch": 0.63, + "learning_rate": 3.1173937314024015e-06, + "loss": 0.6741, + "step": 21587 + }, + { + "epoch": 0.63, + "learning_rate": 3.116952984458124e-06, + "loss": 0.9269, + "step": 21588 + }, + { + "epoch": 0.63, + "learning_rate": 3.11651225456336e-06, + "loss": 0.8984, + "step": 21589 + }, + { + "epoch": 0.63, + "learning_rate": 3.1160715417221e-06, + "loss": 0.5289, + "step": 21590 + }, + { + "epoch": 0.63, + "learning_rate": 3.1156308459383345e-06, + "loss": 0.5978, + "step": 21591 + }, + { + "epoch": 0.63, + "learning_rate": 3.115190167216054e-06, + "loss": 0.5712, + "step": 21592 + }, + { + "epoch": 0.63, + "learning_rate": 3.114749505559246e-06, + "loss": 0.6344, + "step": 21593 + }, + { + "epoch": 0.63, + "learning_rate": 3.114308860971904e-06, + "loss": 0.8046, + "step": 21594 + }, + { + "epoch": 0.63, + "learning_rate": 3.1138682334580168e-06, + "loss": 0.8691, + "step": 21595 + }, + { + "epoch": 0.63, + "learning_rate": 3.113427623021573e-06, + "loss": 0.7289, + "step": 21596 + }, + { + "epoch": 0.63, + "learning_rate": 3.1129870296665628e-06, + "loss": 0.7234, + "step": 21597 + }, + { + "epoch": 0.63, + "learning_rate": 3.112546453396974e-06, + "loss": 0.7315, + "step": 21598 + }, + { + "epoch": 0.63, + "learning_rate": 3.1121058942167975e-06, + "loss": 0.7901, + "step": 21599 + }, + { + "epoch": 0.63, + "learning_rate": 3.111665352130021e-06, + "loss": 0.8543, + "step": 21600 + }, + { + "epoch": 0.63, + "learning_rate": 3.1112248271406336e-06, + "loss": 0.794, + "step": 21601 + }, + { + "epoch": 0.63, + "learning_rate": 3.1107843192526237e-06, + "loss": 1.1893, + "step": 21602 + }, + { + "epoch": 0.63, + "learning_rate": 3.1103438284699795e-06, + "loss": 0.7406, + "step": 21603 + }, + { + "epoch": 0.63, + "learning_rate": 3.1099033547966906e-06, + "loss": 0.5546, + "step": 21604 + }, + { + "epoch": 0.63, + "learning_rate": 3.1094628982367435e-06, + "loss": 0.7267, + "step": 21605 + }, + { + "epoch": 0.63, + "learning_rate": 3.1090224587941274e-06, + "loss": 0.6381, + "step": 21606 + }, + { + "epoch": 0.63, + "learning_rate": 3.10858203647283e-06, + "loss": 0.8108, + "step": 21607 + }, + { + "epoch": 0.63, + "learning_rate": 3.1081416312768386e-06, + "loss": 0.8804, + "step": 21608 + }, + { + "epoch": 0.63, + "learning_rate": 3.107701243210141e-06, + "loss": 0.7843, + "step": 21609 + }, + { + "epoch": 0.63, + "learning_rate": 3.107260872276724e-06, + "loss": 0.767, + "step": 21610 + }, + { + "epoch": 0.63, + "learning_rate": 3.1068205184805757e-06, + "loss": 0.5209, + "step": 21611 + }, + { + "epoch": 0.63, + "learning_rate": 3.1063801818256822e-06, + "loss": 0.8288, + "step": 21612 + }, + { + "epoch": 0.63, + "learning_rate": 3.1059398623160286e-06, + "loss": 0.8105, + "step": 21613 + }, + { + "epoch": 0.63, + "learning_rate": 3.1054995599556064e-06, + "loss": 0.7084, + "step": 21614 + }, + { + "epoch": 0.64, + "learning_rate": 3.1050592747483998e-06, + "loss": 0.7238, + "step": 21615 + }, + { + "epoch": 0.64, + "learning_rate": 3.104619006698395e-06, + "loss": 0.5124, + "step": 21616 + }, + { + "epoch": 0.64, + "learning_rate": 3.104178755809578e-06, + "loss": 0.6256, + "step": 21617 + }, + { + "epoch": 0.64, + "learning_rate": 3.1037385220859364e-06, + "loss": 0.7804, + "step": 21618 + }, + { + "epoch": 0.64, + "learning_rate": 3.1032983055314536e-06, + "loss": 0.7704, + "step": 21619 + }, + { + "epoch": 0.64, + "learning_rate": 3.102858106150118e-06, + "loss": 0.809, + "step": 21620 + }, + { + "epoch": 0.64, + "learning_rate": 3.102417923945914e-06, + "loss": 0.5718, + "step": 21621 + }, + { + "epoch": 0.64, + "learning_rate": 3.1019777589228273e-06, + "loss": 0.7006, + "step": 21622 + }, + { + "epoch": 0.64, + "learning_rate": 3.1015376110848422e-06, + "loss": 0.5972, + "step": 21623 + }, + { + "epoch": 0.64, + "learning_rate": 3.1010974804359463e-06, + "loss": 0.7152, + "step": 21624 + }, + { + "epoch": 0.64, + "learning_rate": 3.100657366980122e-06, + "loss": 0.8838, + "step": 21625 + }, + { + "epoch": 0.64, + "learning_rate": 3.1002172707213567e-06, + "loss": 0.8223, + "step": 21626 + }, + { + "epoch": 0.64, + "learning_rate": 3.0997771916636337e-06, + "loss": 0.8081, + "step": 21627 + }, + { + "epoch": 0.64, + "learning_rate": 3.0993371298109375e-06, + "loss": 0.7333, + "step": 21628 + }, + { + "epoch": 0.64, + "learning_rate": 3.098897085167253e-06, + "loss": 0.5697, + "step": 21629 + }, + { + "epoch": 0.64, + "learning_rate": 3.0984570577365642e-06, + "loss": 0.6924, + "step": 21630 + }, + { + "epoch": 0.64, + "learning_rate": 3.0980170475228547e-06, + "loss": 0.8367, + "step": 21631 + }, + { + "epoch": 0.64, + "learning_rate": 3.09757705453011e-06, + "loss": 0.7676, + "step": 21632 + }, + { + "epoch": 0.64, + "learning_rate": 3.09713707876231e-06, + "loss": 0.7015, + "step": 21633 + }, + { + "epoch": 0.64, + "learning_rate": 3.0966971202234435e-06, + "loss": 0.5746, + "step": 21634 + }, + { + "epoch": 0.64, + "learning_rate": 3.0962571789174915e-06, + "loss": 0.7345, + "step": 21635 + }, + { + "epoch": 0.64, + "learning_rate": 3.095817254848438e-06, + "loss": 0.5659, + "step": 21636 + }, + { + "epoch": 0.64, + "learning_rate": 3.0953773480202653e-06, + "loss": 0.6815, + "step": 21637 + }, + { + "epoch": 0.64, + "learning_rate": 3.0949374584369567e-06, + "loss": 0.6741, + "step": 21638 + }, + { + "epoch": 0.64, + "learning_rate": 3.0944975861024958e-06, + "loss": 0.6558, + "step": 21639 + }, + { + "epoch": 0.64, + "learning_rate": 3.0940577310208644e-06, + "loss": 0.6742, + "step": 21640 + }, + { + "epoch": 0.64, + "learning_rate": 3.093617893196045e-06, + "loss": 0.7343, + "step": 21641 + }, + { + "epoch": 0.64, + "learning_rate": 3.09317807263202e-06, + "loss": 0.7397, + "step": 21642 + }, + { + "epoch": 0.64, + "learning_rate": 3.0927382693327703e-06, + "loss": 1.0047, + "step": 21643 + }, + { + "epoch": 0.64, + "learning_rate": 3.092298483302281e-06, + "loss": 0.4768, + "step": 21644 + }, + { + "epoch": 0.64, + "learning_rate": 3.0918587145445346e-06, + "loss": 0.6347, + "step": 21645 + }, + { + "epoch": 0.64, + "learning_rate": 3.0914189630635093e-06, + "loss": 0.7126, + "step": 21646 + }, + { + "epoch": 0.64, + "learning_rate": 3.0909792288631877e-06, + "loss": 0.7745, + "step": 21647 + }, + { + "epoch": 0.64, + "learning_rate": 3.090539511947553e-06, + "loss": 0.7593, + "step": 21648 + }, + { + "epoch": 0.64, + "learning_rate": 3.090099812320585e-06, + "loss": 0.7793, + "step": 21649 + }, + { + "epoch": 0.64, + "learning_rate": 3.0896601299862643e-06, + "loss": 0.7047, + "step": 21650 + }, + { + "epoch": 0.64, + "learning_rate": 3.0892204649485737e-06, + "loss": 0.5465, + "step": 21651 + }, + { + "epoch": 0.64, + "learning_rate": 3.0887808172114924e-06, + "loss": 0.8432, + "step": 21652 + }, + { + "epoch": 0.64, + "learning_rate": 3.088341186779e-06, + "loss": 0.685, + "step": 21653 + }, + { + "epoch": 0.64, + "learning_rate": 3.0879015736550807e-06, + "loss": 0.6152, + "step": 21654 + }, + { + "epoch": 0.64, + "learning_rate": 3.0874619778437127e-06, + "loss": 0.7021, + "step": 21655 + }, + { + "epoch": 0.64, + "learning_rate": 3.0870223993488762e-06, + "loss": 0.5348, + "step": 21656 + }, + { + "epoch": 0.64, + "learning_rate": 3.0865828381745515e-06, + "loss": 0.6412, + "step": 21657 + }, + { + "epoch": 0.64, + "learning_rate": 3.0861432943247187e-06, + "loss": 0.7029, + "step": 21658 + }, + { + "epoch": 0.64, + "learning_rate": 3.0857037678033576e-06, + "loss": 0.6312, + "step": 21659 + }, + { + "epoch": 0.64, + "learning_rate": 3.0852642586144467e-06, + "loss": 0.693, + "step": 21660 + }, + { + "epoch": 0.64, + "learning_rate": 3.0848247667619658e-06, + "loss": 0.7502, + "step": 21661 + }, + { + "epoch": 0.64, + "learning_rate": 3.084385292249893e-06, + "loss": 0.6378, + "step": 21662 + }, + { + "epoch": 0.64, + "learning_rate": 3.0839458350822106e-06, + "loss": 0.7297, + "step": 21663 + }, + { + "epoch": 0.64, + "learning_rate": 3.083506395262896e-06, + "loss": 0.7209, + "step": 21664 + }, + { + "epoch": 0.64, + "learning_rate": 3.0830669727959274e-06, + "loss": 0.8258, + "step": 21665 + }, + { + "epoch": 0.64, + "learning_rate": 3.0826275676852836e-06, + "loss": 0.7839, + "step": 21666 + }, + { + "epoch": 0.64, + "learning_rate": 3.082188179934944e-06, + "loss": 0.974, + "step": 21667 + }, + { + "epoch": 0.64, + "learning_rate": 3.081748809548886e-06, + "loss": 0.6173, + "step": 21668 + }, + { + "epoch": 0.64, + "learning_rate": 3.0813094565310876e-06, + "loss": 0.6739, + "step": 21669 + }, + { + "epoch": 0.64, + "learning_rate": 3.080870120885528e-06, + "loss": 0.8759, + "step": 21670 + }, + { + "epoch": 0.64, + "learning_rate": 3.0804308026161833e-06, + "loss": 0.7254, + "step": 21671 + }, + { + "epoch": 0.64, + "learning_rate": 3.0799915017270297e-06, + "loss": 0.834, + "step": 21672 + }, + { + "epoch": 0.64, + "learning_rate": 3.0795522182220495e-06, + "loss": 0.6458, + "step": 21673 + }, + { + "epoch": 0.64, + "learning_rate": 3.079112952105218e-06, + "loss": 0.7027, + "step": 21674 + }, + { + "epoch": 0.64, + "learning_rate": 3.0786737033805116e-06, + "loss": 0.5544, + "step": 21675 + }, + { + "epoch": 0.64, + "learning_rate": 3.0782344720519076e-06, + "loss": 0.7251, + "step": 21676 + }, + { + "epoch": 0.64, + "learning_rate": 3.0777952581233834e-06, + "loss": 0.8063, + "step": 21677 + }, + { + "epoch": 0.64, + "learning_rate": 3.077356061598915e-06, + "loss": 0.7251, + "step": 21678 + }, + { + "epoch": 0.64, + "learning_rate": 3.0769168824824803e-06, + "loss": 0.7287, + "step": 21679 + }, + { + "epoch": 0.64, + "learning_rate": 3.0764777207780537e-06, + "loss": 0.9358, + "step": 21680 + }, + { + "epoch": 0.64, + "learning_rate": 3.0760385764896134e-06, + "loss": 0.7155, + "step": 21681 + }, + { + "epoch": 0.64, + "learning_rate": 3.075599449621133e-06, + "loss": 0.8729, + "step": 21682 + }, + { + "epoch": 0.64, + "learning_rate": 3.0751603401765906e-06, + "loss": 0.7653, + "step": 21683 + }, + { + "epoch": 0.64, + "learning_rate": 3.074721248159963e-06, + "loss": 0.6846, + "step": 21684 + }, + { + "epoch": 0.64, + "learning_rate": 3.074282173575224e-06, + "loss": 0.7571, + "step": 21685 + }, + { + "epoch": 0.64, + "learning_rate": 3.073843116426349e-06, + "loss": 0.9527, + "step": 21686 + }, + { + "epoch": 0.64, + "learning_rate": 3.0734040767173146e-06, + "loss": 0.71, + "step": 21687 + }, + { + "epoch": 0.64, + "learning_rate": 3.072965054452094e-06, + "loss": 0.5468, + "step": 21688 + }, + { + "epoch": 0.64, + "learning_rate": 3.072526049634664e-06, + "loss": 0.532, + "step": 21689 + }, + { + "epoch": 0.64, + "learning_rate": 3.072087062268999e-06, + "loss": 0.858, + "step": 21690 + }, + { + "epoch": 0.64, + "learning_rate": 3.071648092359073e-06, + "loss": 0.4363, + "step": 21691 + }, + { + "epoch": 0.64, + "learning_rate": 3.0712091399088606e-06, + "loss": 0.8801, + "step": 21692 + }, + { + "epoch": 0.64, + "learning_rate": 3.0707702049223365e-06, + "loss": 0.9375, + "step": 21693 + }, + { + "epoch": 0.64, + "learning_rate": 3.0703312874034763e-06, + "loss": 0.7137, + "step": 21694 + }, + { + "epoch": 0.64, + "learning_rate": 3.0698923873562515e-06, + "loss": 0.8353, + "step": 21695 + }, + { + "epoch": 0.64, + "learning_rate": 3.069453504784638e-06, + "loss": 0.6596, + "step": 21696 + }, + { + "epoch": 0.64, + "learning_rate": 3.0690146396926087e-06, + "loss": 0.2829, + "step": 21697 + }, + { + "epoch": 0.64, + "learning_rate": 3.068575792084137e-06, + "loss": 0.673, + "step": 21698 + }, + { + "epoch": 0.64, + "learning_rate": 3.0681369619631964e-06, + "loss": 0.8271, + "step": 21699 + }, + { + "epoch": 0.64, + "learning_rate": 3.0676981493337605e-06, + "loss": 0.7423, + "step": 21700 + }, + { + "epoch": 0.64, + "learning_rate": 3.067259354199802e-06, + "loss": 0.9401, + "step": 21701 + }, + { + "epoch": 0.64, + "learning_rate": 3.0668205765652925e-06, + "loss": 0.5678, + "step": 21702 + }, + { + "epoch": 0.64, + "learning_rate": 3.0663818164342087e-06, + "loss": 0.8403, + "step": 21703 + }, + { + "epoch": 0.64, + "learning_rate": 3.06594307381052e-06, + "loss": 0.8133, + "step": 21704 + }, + { + "epoch": 0.64, + "learning_rate": 3.0655043486982e-06, + "loss": 0.623, + "step": 21705 + }, + { + "epoch": 0.64, + "learning_rate": 3.0650656411012207e-06, + "loss": 0.5105, + "step": 21706 + }, + { + "epoch": 0.64, + "learning_rate": 3.064626951023555e-06, + "loss": 0.4363, + "step": 21707 + }, + { + "epoch": 0.64, + "learning_rate": 3.0641882784691735e-06, + "loss": 0.7442, + "step": 21708 + }, + { + "epoch": 0.64, + "learning_rate": 3.063749623442049e-06, + "loss": 0.5853, + "step": 21709 + }, + { + "epoch": 0.64, + "learning_rate": 3.063310985946153e-06, + "loss": 0.6636, + "step": 21710 + }, + { + "epoch": 0.64, + "learning_rate": 3.0628723659854563e-06, + "loss": 0.5449, + "step": 21711 + }, + { + "epoch": 0.64, + "learning_rate": 3.0624337635639307e-06, + "loss": 0.6233, + "step": 21712 + }, + { + "epoch": 0.64, + "learning_rate": 3.0619951786855484e-06, + "loss": 0.5951, + "step": 21713 + }, + { + "epoch": 0.64, + "learning_rate": 3.0615566113542795e-06, + "loss": 0.6615, + "step": 21714 + }, + { + "epoch": 0.64, + "learning_rate": 3.0611180615740956e-06, + "loss": 0.7529, + "step": 21715 + }, + { + "epoch": 0.64, + "learning_rate": 3.060679529348966e-06, + "loss": 0.6417, + "step": 21716 + }, + { + "epoch": 0.64, + "learning_rate": 3.0602410146828626e-06, + "loss": 0.7054, + "step": 21717 + }, + { + "epoch": 0.64, + "learning_rate": 3.059802517579755e-06, + "loss": 0.4966, + "step": 21718 + }, + { + "epoch": 0.64, + "learning_rate": 3.0593640380436142e-06, + "loss": 0.5406, + "step": 21719 + }, + { + "epoch": 0.64, + "learning_rate": 3.05892557607841e-06, + "loss": 0.686, + "step": 21720 + }, + { + "epoch": 0.64, + "learning_rate": 3.0584871316881114e-06, + "loss": 0.7964, + "step": 21721 + }, + { + "epoch": 0.64, + "learning_rate": 3.058048704876687e-06, + "loss": 0.8427, + "step": 21722 + }, + { + "epoch": 0.64, + "learning_rate": 3.0576102956481114e-06, + "loss": 0.5339, + "step": 21723 + }, + { + "epoch": 0.64, + "learning_rate": 3.057171904006351e-06, + "loss": 0.6858, + "step": 21724 + }, + { + "epoch": 0.64, + "learning_rate": 3.0567335299553743e-06, + "loss": 0.6301, + "step": 21725 + }, + { + "epoch": 0.64, + "learning_rate": 3.056295173499151e-06, + "loss": 0.6053, + "step": 21726 + }, + { + "epoch": 0.64, + "learning_rate": 3.0558568346416505e-06, + "loss": 0.7949, + "step": 21727 + }, + { + "epoch": 0.64, + "learning_rate": 3.0554185133868418e-06, + "loss": 0.7635, + "step": 21728 + }, + { + "epoch": 0.64, + "learning_rate": 3.0549802097386937e-06, + "loss": 0.6629, + "step": 21729 + }, + { + "epoch": 0.64, + "learning_rate": 3.0545419237011737e-06, + "loss": 0.5739, + "step": 21730 + }, + { + "epoch": 0.64, + "learning_rate": 3.0541036552782494e-06, + "loss": 0.6043, + "step": 21731 + }, + { + "epoch": 0.64, + "learning_rate": 3.053665404473891e-06, + "loss": 0.7976, + "step": 21732 + }, + { + "epoch": 0.64, + "learning_rate": 3.053227171292067e-06, + "loss": 0.7397, + "step": 21733 + }, + { + "epoch": 0.64, + "learning_rate": 3.052788955736743e-06, + "loss": 0.6592, + "step": 21734 + }, + { + "epoch": 0.64, + "learning_rate": 3.052350757811887e-06, + "loss": 0.8748, + "step": 21735 + }, + { + "epoch": 0.64, + "learning_rate": 3.0519125775214688e-06, + "loss": 0.7884, + "step": 21736 + }, + { + "epoch": 0.64, + "learning_rate": 3.051474414869453e-06, + "loss": 0.5528, + "step": 21737 + }, + { + "epoch": 0.64, + "learning_rate": 3.0510362698598086e-06, + "loss": 0.4903, + "step": 21738 + }, + { + "epoch": 0.64, + "learning_rate": 3.0505981424965014e-06, + "loss": 0.761, + "step": 21739 + }, + { + "epoch": 0.64, + "learning_rate": 3.0501600327835003e-06, + "loss": 0.8844, + "step": 21740 + }, + { + "epoch": 0.64, + "learning_rate": 3.049721940724767e-06, + "loss": 0.6948, + "step": 21741 + }, + { + "epoch": 0.64, + "learning_rate": 3.049283866324275e-06, + "loss": 0.8239, + "step": 21742 + }, + { + "epoch": 0.64, + "learning_rate": 3.0488458095859875e-06, + "loss": 0.6653, + "step": 21743 + }, + { + "epoch": 0.64, + "learning_rate": 3.0484077705138702e-06, + "loss": 0.8383, + "step": 21744 + }, + { + "epoch": 0.64, + "learning_rate": 3.04796974911189e-06, + "loss": 0.8203, + "step": 21745 + }, + { + "epoch": 0.64, + "learning_rate": 3.0475317453840124e-06, + "loss": 0.7094, + "step": 21746 + }, + { + "epoch": 0.64, + "learning_rate": 3.0470937593342036e-06, + "loss": 0.9815, + "step": 21747 + }, + { + "epoch": 0.64, + "learning_rate": 3.046655790966429e-06, + "loss": 0.6322, + "step": 21748 + }, + { + "epoch": 0.64, + "learning_rate": 3.0462178402846544e-06, + "loss": 0.7961, + "step": 21749 + }, + { + "epoch": 0.64, + "learning_rate": 3.045779907292844e-06, + "loss": 0.8523, + "step": 21750 + }, + { + "epoch": 0.64, + "learning_rate": 3.0453419919949633e-06, + "loss": 0.7049, + "step": 21751 + }, + { + "epoch": 0.64, + "learning_rate": 3.0449040943949788e-06, + "loss": 0.7869, + "step": 21752 + }, + { + "epoch": 0.64, + "learning_rate": 3.044466214496854e-06, + "loss": 0.7545, + "step": 21753 + }, + { + "epoch": 0.64, + "learning_rate": 3.044028352304553e-06, + "loss": 0.5432, + "step": 21754 + }, + { + "epoch": 0.64, + "learning_rate": 3.043590507822043e-06, + "loss": 0.7733, + "step": 21755 + }, + { + "epoch": 0.64, + "learning_rate": 3.043152681053285e-06, + "loss": 0.6643, + "step": 21756 + }, + { + "epoch": 0.64, + "learning_rate": 3.042714872002245e-06, + "loss": 0.6211, + "step": 21757 + }, + { + "epoch": 0.64, + "learning_rate": 3.0422770806728863e-06, + "loss": 0.523, + "step": 21758 + }, + { + "epoch": 0.64, + "learning_rate": 3.041839307069173e-06, + "loss": 0.9267, + "step": 21759 + }, + { + "epoch": 0.64, + "learning_rate": 3.041401551195069e-06, + "loss": 0.5349, + "step": 21760 + }, + { + "epoch": 0.64, + "learning_rate": 3.040963813054536e-06, + "loss": 0.794, + "step": 21761 + }, + { + "epoch": 0.64, + "learning_rate": 3.04052609265154e-06, + "loss": 0.6658, + "step": 21762 + }, + { + "epoch": 0.64, + "learning_rate": 3.0400883899900448e-06, + "loss": 0.7312, + "step": 21763 + }, + { + "epoch": 0.64, + "learning_rate": 3.039650705074011e-06, + "loss": 0.6914, + "step": 21764 + }, + { + "epoch": 0.64, + "learning_rate": 3.0392130379074025e-06, + "loss": 0.6653, + "step": 21765 + }, + { + "epoch": 0.64, + "learning_rate": 3.0387753884941824e-06, + "loss": 0.889, + "step": 21766 + }, + { + "epoch": 0.64, + "learning_rate": 3.0383377568383123e-06, + "loss": 0.7925, + "step": 21767 + }, + { + "epoch": 0.64, + "learning_rate": 3.0379001429437553e-06, + "loss": 0.7211, + "step": 21768 + }, + { + "epoch": 0.64, + "learning_rate": 3.0374625468144734e-06, + "loss": 0.6568, + "step": 21769 + }, + { + "epoch": 0.64, + "learning_rate": 3.0370249684544296e-06, + "loss": 0.5919, + "step": 21770 + }, + { + "epoch": 0.64, + "learning_rate": 3.0365874078675833e-06, + "loss": 0.8384, + "step": 21771 + }, + { + "epoch": 0.64, + "learning_rate": 3.036149865057899e-06, + "loss": 0.6719, + "step": 21772 + }, + { + "epoch": 0.64, + "learning_rate": 3.0357123400293377e-06, + "loss": 0.7119, + "step": 21773 + }, + { + "epoch": 0.64, + "learning_rate": 3.03527483278586e-06, + "loss": 0.7146, + "step": 21774 + }, + { + "epoch": 0.64, + "learning_rate": 3.0348373433314277e-06, + "loss": 0.6765, + "step": 21775 + }, + { + "epoch": 0.64, + "learning_rate": 3.034399871670002e-06, + "loss": 0.699, + "step": 21776 + }, + { + "epoch": 0.64, + "learning_rate": 3.0339624178055436e-06, + "loss": 0.6652, + "step": 21777 + }, + { + "epoch": 0.64, + "learning_rate": 3.0335249817420133e-06, + "loss": 0.6847, + "step": 21778 + }, + { + "epoch": 0.64, + "learning_rate": 3.033087563483372e-06, + "loss": 0.8517, + "step": 21779 + }, + { + "epoch": 0.64, + "learning_rate": 3.03265016303358e-06, + "loss": 0.5893, + "step": 21780 + }, + { + "epoch": 0.64, + "learning_rate": 3.032212780396596e-06, + "loss": 0.5189, + "step": 21781 + }, + { + "epoch": 0.64, + "learning_rate": 3.0317754155763833e-06, + "loss": 0.791, + "step": 21782 + }, + { + "epoch": 0.64, + "learning_rate": 3.0313380685769e-06, + "loss": 0.5935, + "step": 21783 + }, + { + "epoch": 0.64, + "learning_rate": 3.030900739402107e-06, + "loss": 0.7738, + "step": 21784 + }, + { + "epoch": 0.64, + "learning_rate": 3.030463428055963e-06, + "loss": 0.9019, + "step": 21785 + }, + { + "epoch": 0.64, + "learning_rate": 3.030026134542429e-06, + "loss": 0.7643, + "step": 21786 + }, + { + "epoch": 0.64, + "learning_rate": 3.0295888588654616e-06, + "loss": 0.6408, + "step": 21787 + }, + { + "epoch": 0.64, + "learning_rate": 3.029151601029022e-06, + "loss": 0.8006, + "step": 21788 + }, + { + "epoch": 0.64, + "learning_rate": 3.0287143610370693e-06, + "loss": 0.5168, + "step": 21789 + }, + { + "epoch": 0.64, + "learning_rate": 3.0282771388935606e-06, + "loss": 0.7183, + "step": 21790 + }, + { + "epoch": 0.64, + "learning_rate": 3.0278399346024567e-06, + "loss": 0.6083, + "step": 21791 + }, + { + "epoch": 0.64, + "learning_rate": 3.027402748167715e-06, + "loss": 0.9464, + "step": 21792 + }, + { + "epoch": 0.64, + "learning_rate": 3.0269655795932947e-06, + "loss": 0.7377, + "step": 21793 + }, + { + "epoch": 0.64, + "learning_rate": 3.026528428883153e-06, + "loss": 0.6252, + "step": 21794 + }, + { + "epoch": 0.64, + "learning_rate": 3.026091296041249e-06, + "loss": 0.9125, + "step": 21795 + }, + { + "epoch": 0.64, + "learning_rate": 3.02565418107154e-06, + "loss": 0.6244, + "step": 21796 + }, + { + "epoch": 0.64, + "learning_rate": 3.025217083977983e-06, + "loss": 0.6322, + "step": 21797 + }, + { + "epoch": 0.64, + "learning_rate": 3.024780004764537e-06, + "loss": 0.8205, + "step": 21798 + }, + { + "epoch": 0.64, + "learning_rate": 3.024342943435159e-06, + "loss": 0.5338, + "step": 21799 + }, + { + "epoch": 0.64, + "learning_rate": 3.0239058999938033e-06, + "loss": 0.8606, + "step": 21800 + }, + { + "epoch": 0.64, + "learning_rate": 3.0234688744444326e-06, + "loss": 0.7849, + "step": 21801 + }, + { + "epoch": 0.64, + "learning_rate": 3.023031866791e-06, + "loss": 0.65, + "step": 21802 + }, + { + "epoch": 0.64, + "learning_rate": 3.0225948770374634e-06, + "loss": 0.717, + "step": 21803 + }, + { + "epoch": 0.64, + "learning_rate": 3.0221579051877797e-06, + "loss": 0.6937, + "step": 21804 + }, + { + "epoch": 0.64, + "learning_rate": 3.0217209512459043e-06, + "loss": 0.7573, + "step": 21805 + }, + { + "epoch": 0.64, + "learning_rate": 3.0212840152157943e-06, + "loss": 0.7219, + "step": 21806 + }, + { + "epoch": 0.64, + "learning_rate": 3.0208470971014055e-06, + "loss": 0.7499, + "step": 21807 + }, + { + "epoch": 0.64, + "learning_rate": 3.0204101969066933e-06, + "loss": 0.755, + "step": 21808 + }, + { + "epoch": 0.64, + "learning_rate": 3.0199733146356146e-06, + "loss": 0.4692, + "step": 21809 + }, + { + "epoch": 0.64, + "learning_rate": 3.019536450292123e-06, + "loss": 0.6975, + "step": 21810 + }, + { + "epoch": 0.64, + "learning_rate": 3.019099603880177e-06, + "loss": 0.8751, + "step": 21811 + }, + { + "epoch": 0.64, + "learning_rate": 3.01866277540373e-06, + "loss": 0.6411, + "step": 21812 + }, + { + "epoch": 0.64, + "learning_rate": 3.018225964866738e-06, + "loss": 0.9379, + "step": 21813 + }, + { + "epoch": 0.64, + "learning_rate": 3.0177891722731544e-06, + "loss": 1.0058, + "step": 21814 + }, + { + "epoch": 0.64, + "learning_rate": 3.017352397626936e-06, + "loss": 0.8979, + "step": 21815 + }, + { + "epoch": 0.64, + "learning_rate": 3.016915640932036e-06, + "loss": 0.7221, + "step": 21816 + }, + { + "epoch": 0.64, + "learning_rate": 3.01647890219241e-06, + "loss": 0.6196, + "step": 21817 + }, + { + "epoch": 0.64, + "learning_rate": 3.0160421814120112e-06, + "loss": 0.592, + "step": 21818 + }, + { + "epoch": 0.64, + "learning_rate": 3.0156054785947943e-06, + "loss": 0.848, + "step": 21819 + }, + { + "epoch": 0.64, + "learning_rate": 3.0151687937447115e-06, + "loss": 0.8373, + "step": 21820 + }, + { + "epoch": 0.64, + "learning_rate": 3.01473212686572e-06, + "loss": 0.8339, + "step": 21821 + }, + { + "epoch": 0.64, + "learning_rate": 3.014295477961773e-06, + "loss": 0.6644, + "step": 21822 + }, + { + "epoch": 0.64, + "learning_rate": 3.0138588470368213e-06, + "loss": 0.6888, + "step": 21823 + }, + { + "epoch": 0.64, + "learning_rate": 3.013422234094821e-06, + "loss": 0.7123, + "step": 21824 + }, + { + "epoch": 0.64, + "learning_rate": 3.012985639139724e-06, + "loss": 0.9888, + "step": 21825 + }, + { + "epoch": 0.64, + "learning_rate": 3.012549062175484e-06, + "loss": 0.8215, + "step": 21826 + }, + { + "epoch": 0.64, + "learning_rate": 3.0121125032060523e-06, + "loss": 1.1301, + "step": 21827 + }, + { + "epoch": 0.64, + "learning_rate": 3.011675962235383e-06, + "loss": 0.8685, + "step": 21828 + }, + { + "epoch": 0.64, + "learning_rate": 3.0112394392674283e-06, + "loss": 0.7661, + "step": 21829 + }, + { + "epoch": 0.64, + "learning_rate": 3.0108029343061396e-06, + "loss": 1.1711, + "step": 21830 + }, + { + "epoch": 0.64, + "learning_rate": 3.0103664473554717e-06, + "loss": 0.4307, + "step": 21831 + }, + { + "epoch": 0.64, + "learning_rate": 3.0099299784193735e-06, + "loss": 0.5881, + "step": 21832 + }, + { + "epoch": 0.64, + "learning_rate": 3.0094935275018e-06, + "loss": 0.5959, + "step": 21833 + }, + { + "epoch": 0.64, + "learning_rate": 3.0090570946067006e-06, + "loss": 0.8836, + "step": 21834 + }, + { + "epoch": 0.64, + "learning_rate": 3.008620679738028e-06, + "loss": 0.6074, + "step": 21835 + }, + { + "epoch": 0.64, + "learning_rate": 3.008184282899732e-06, + "loss": 0.7022, + "step": 21836 + }, + { + "epoch": 0.64, + "learning_rate": 3.0077479040957657e-06, + "loss": 0.5646, + "step": 21837 + }, + { + "epoch": 0.64, + "learning_rate": 3.0073115433300803e-06, + "loss": 0.813, + "step": 21838 + }, + { + "epoch": 0.64, + "learning_rate": 3.006875200606625e-06, + "loss": 0.8075, + "step": 21839 + }, + { + "epoch": 0.64, + "learning_rate": 3.0064388759293495e-06, + "loss": 0.895, + "step": 21840 + }, + { + "epoch": 0.64, + "learning_rate": 3.0060025693022082e-06, + "loss": 0.657, + "step": 21841 + }, + { + "epoch": 0.64, + "learning_rate": 3.00556628072915e-06, + "loss": 0.7928, + "step": 21842 + }, + { + "epoch": 0.64, + "learning_rate": 3.0051300102141245e-06, + "loss": 0.7986, + "step": 21843 + }, + { + "epoch": 0.64, + "learning_rate": 3.0046937577610823e-06, + "loss": 0.709, + "step": 21844 + }, + { + "epoch": 0.64, + "learning_rate": 3.004257523373972e-06, + "loss": 0.767, + "step": 21845 + }, + { + "epoch": 0.64, + "learning_rate": 3.0038213070567455e-06, + "loss": 0.8099, + "step": 21846 + }, + { + "epoch": 0.64, + "learning_rate": 3.0033851088133516e-06, + "loss": 0.8341, + "step": 21847 + }, + { + "epoch": 0.64, + "learning_rate": 3.0029489286477385e-06, + "loss": 0.7875, + "step": 21848 + }, + { + "epoch": 0.64, + "learning_rate": 3.0025127665638575e-06, + "loss": 0.728, + "step": 21849 + }, + { + "epoch": 0.64, + "learning_rate": 3.002076622565655e-06, + "loss": 0.9165, + "step": 21850 + }, + { + "epoch": 0.64, + "learning_rate": 3.001640496657082e-06, + "loss": 0.9323, + "step": 21851 + }, + { + "epoch": 0.64, + "learning_rate": 3.0012043888420884e-06, + "loss": 0.9264, + "step": 21852 + }, + { + "epoch": 0.64, + "learning_rate": 3.00076829912462e-06, + "loss": 0.7727, + "step": 21853 + }, + { + "epoch": 0.64, + "learning_rate": 3.0003322275086268e-06, + "loss": 0.6137, + "step": 21854 + }, + { + "epoch": 0.64, + "learning_rate": 2.999896173998057e-06, + "loss": 0.7532, + "step": 21855 + }, + { + "epoch": 0.64, + "learning_rate": 2.9994601385968582e-06, + "loss": 0.7355, + "step": 21856 + }, + { + "epoch": 0.64, + "learning_rate": 2.9990241213089787e-06, + "loss": 0.7947, + "step": 21857 + }, + { + "epoch": 0.64, + "learning_rate": 2.9985881221383665e-06, + "loss": 0.6078, + "step": 21858 + }, + { + "epoch": 0.64, + "learning_rate": 2.9981521410889667e-06, + "loss": 0.411, + "step": 21859 + }, + { + "epoch": 0.64, + "learning_rate": 2.997716178164732e-06, + "loss": 0.7618, + "step": 21860 + }, + { + "epoch": 0.64, + "learning_rate": 2.997280233369606e-06, + "loss": 0.8767, + "step": 21861 + }, + { + "epoch": 0.64, + "learning_rate": 2.996844306707537e-06, + "loss": 0.7903, + "step": 21862 + }, + { + "epoch": 0.64, + "learning_rate": 2.996408398182471e-06, + "loss": 0.6016, + "step": 21863 + }, + { + "epoch": 0.64, + "learning_rate": 2.9959725077983558e-06, + "loss": 0.5136, + "step": 21864 + }, + { + "epoch": 0.64, + "learning_rate": 2.9955366355591374e-06, + "loss": 0.7283, + "step": 21865 + }, + { + "epoch": 0.64, + "learning_rate": 2.9951007814687625e-06, + "loss": 0.7155, + "step": 21866 + }, + { + "epoch": 0.64, + "learning_rate": 2.9946649455311783e-06, + "loss": 0.6894, + "step": 21867 + }, + { + "epoch": 0.64, + "learning_rate": 2.9942291277503293e-06, + "loss": 0.8985, + "step": 21868 + }, + { + "epoch": 0.64, + "learning_rate": 2.9937933281301614e-06, + "loss": 0.5772, + "step": 21869 + }, + { + "epoch": 0.64, + "learning_rate": 2.9933575466746223e-06, + "loss": 0.7768, + "step": 21870 + }, + { + "epoch": 0.64, + "learning_rate": 2.9929217833876566e-06, + "loss": 0.7179, + "step": 21871 + }, + { + "epoch": 0.64, + "learning_rate": 2.99248603827321e-06, + "loss": 0.8415, + "step": 21872 + }, + { + "epoch": 0.64, + "learning_rate": 2.9920503113352277e-06, + "loss": 1.0591, + "step": 21873 + }, + { + "epoch": 0.64, + "learning_rate": 2.991614602577655e-06, + "loss": 0.8604, + "step": 21874 + }, + { + "epoch": 0.64, + "learning_rate": 2.9911789120044368e-06, + "loss": 0.7098, + "step": 21875 + }, + { + "epoch": 0.64, + "learning_rate": 2.990743239619518e-06, + "loss": 0.6961, + "step": 21876 + }, + { + "epoch": 0.64, + "learning_rate": 2.9903075854268426e-06, + "loss": 0.9911, + "step": 21877 + }, + { + "epoch": 0.64, + "learning_rate": 2.9898719494303564e-06, + "loss": 0.741, + "step": 21878 + }, + { + "epoch": 0.64, + "learning_rate": 2.9894363316340002e-06, + "loss": 0.7294, + "step": 21879 + }, + { + "epoch": 0.64, + "learning_rate": 2.9890007320417238e-06, + "loss": 0.6561, + "step": 21880 + }, + { + "epoch": 0.64, + "learning_rate": 2.9885651506574675e-06, + "loss": 0.8607, + "step": 21881 + }, + { + "epoch": 0.64, + "learning_rate": 2.9881295874851768e-06, + "loss": 0.4237, + "step": 21882 + }, + { + "epoch": 0.64, + "learning_rate": 2.9876940425287938e-06, + "loss": 0.7518, + "step": 21883 + }, + { + "epoch": 0.64, + "learning_rate": 2.987258515792264e-06, + "loss": 0.6611, + "step": 21884 + }, + { + "epoch": 0.64, + "learning_rate": 2.986823007279529e-06, + "loss": 0.4955, + "step": 21885 + }, + { + "epoch": 0.64, + "learning_rate": 2.9863875169945322e-06, + "loss": 0.6347, + "step": 21886 + }, + { + "epoch": 0.64, + "learning_rate": 2.985952044941218e-06, + "loss": 0.5584, + "step": 21887 + }, + { + "epoch": 0.64, + "learning_rate": 2.9855165911235272e-06, + "loss": 0.5447, + "step": 21888 + }, + { + "epoch": 0.64, + "learning_rate": 2.9850811555454036e-06, + "loss": 0.9041, + "step": 21889 + }, + { + "epoch": 0.64, + "learning_rate": 2.9846457382107904e-06, + "loss": 0.5607, + "step": 21890 + }, + { + "epoch": 0.64, + "learning_rate": 2.9842103391236288e-06, + "loss": 0.5342, + "step": 21891 + }, + { + "epoch": 0.64, + "learning_rate": 2.9837749582878617e-06, + "loss": 0.7966, + "step": 21892 + }, + { + "epoch": 0.64, + "learning_rate": 2.9833395957074305e-06, + "loss": 0.8929, + "step": 21893 + }, + { + "epoch": 0.64, + "learning_rate": 2.982904251386278e-06, + "loss": 0.6532, + "step": 21894 + }, + { + "epoch": 0.64, + "learning_rate": 2.9824689253283456e-06, + "loss": 0.95, + "step": 21895 + }, + { + "epoch": 0.64, + "learning_rate": 2.982033617537574e-06, + "loss": 0.6641, + "step": 21896 + }, + { + "epoch": 0.64, + "learning_rate": 2.981598328017906e-06, + "loss": 0.674, + "step": 21897 + }, + { + "epoch": 0.64, + "learning_rate": 2.9811630567732807e-06, + "loss": 0.6667, + "step": 21898 + }, + { + "epoch": 0.64, + "learning_rate": 2.9807278038076394e-06, + "loss": 0.7575, + "step": 21899 + }, + { + "epoch": 0.64, + "learning_rate": 2.9802925691249265e-06, + "loss": 0.2567, + "step": 21900 + }, + { + "epoch": 0.64, + "learning_rate": 2.9798573527290785e-06, + "loss": 0.7226, + "step": 21901 + }, + { + "epoch": 0.64, + "learning_rate": 2.9794221546240387e-06, + "loss": 0.8201, + "step": 21902 + }, + { + "epoch": 0.64, + "learning_rate": 2.9789869748137464e-06, + "loss": 0.5733, + "step": 21903 + }, + { + "epoch": 0.64, + "learning_rate": 2.978551813302142e-06, + "loss": 0.7681, + "step": 21904 + }, + { + "epoch": 0.64, + "learning_rate": 2.9781166700931648e-06, + "loss": 0.6926, + "step": 21905 + }, + { + "epoch": 0.64, + "learning_rate": 2.9776815451907554e-06, + "loss": 0.6024, + "step": 21906 + }, + { + "epoch": 0.64, + "learning_rate": 2.9772464385988533e-06, + "loss": 0.7088, + "step": 21907 + }, + { + "epoch": 0.64, + "learning_rate": 2.976811350321398e-06, + "loss": 0.6407, + "step": 21908 + }, + { + "epoch": 0.64, + "learning_rate": 2.9763762803623284e-06, + "loss": 0.9461, + "step": 21909 + }, + { + "epoch": 0.64, + "learning_rate": 2.975941228725585e-06, + "loss": 0.5014, + "step": 21910 + }, + { + "epoch": 0.64, + "learning_rate": 2.9755061954151066e-06, + "loss": 0.6972, + "step": 21911 + }, + { + "epoch": 0.64, + "learning_rate": 2.975071180434832e-06, + "loss": 0.5962, + "step": 21912 + }, + { + "epoch": 0.64, + "learning_rate": 2.974636183788698e-06, + "loss": 0.8376, + "step": 21913 + }, + { + "epoch": 0.64, + "learning_rate": 2.974201205480646e-06, + "loss": 0.8076, + "step": 21914 + }, + { + "epoch": 0.64, + "learning_rate": 2.9737662455146132e-06, + "loss": 0.6972, + "step": 21915 + }, + { + "epoch": 0.64, + "learning_rate": 2.9733313038945377e-06, + "loss": 0.8405, + "step": 21916 + }, + { + "epoch": 0.64, + "learning_rate": 2.9728963806243572e-06, + "loss": 1.0983, + "step": 21917 + }, + { + "epoch": 0.64, + "learning_rate": 2.9724614757080095e-06, + "loss": 0.6597, + "step": 21918 + }, + { + "epoch": 0.64, + "learning_rate": 2.9720265891494317e-06, + "loss": 0.5563, + "step": 21919 + }, + { + "epoch": 0.64, + "learning_rate": 2.971591720952564e-06, + "loss": 0.7351, + "step": 21920 + }, + { + "epoch": 0.64, + "learning_rate": 2.9711568711213425e-06, + "loss": 0.8192, + "step": 21921 + }, + { + "epoch": 0.64, + "learning_rate": 2.9707220396597038e-06, + "loss": 0.6595, + "step": 21922 + }, + { + "epoch": 0.64, + "learning_rate": 2.9702872265715852e-06, + "loss": 0.7732, + "step": 21923 + }, + { + "epoch": 0.64, + "learning_rate": 2.9698524318609244e-06, + "loss": 0.9073, + "step": 21924 + }, + { + "epoch": 0.64, + "learning_rate": 2.9694176555316573e-06, + "loss": 0.5928, + "step": 21925 + }, + { + "epoch": 0.64, + "learning_rate": 2.9689828975877206e-06, + "loss": 0.6314, + "step": 21926 + }, + { + "epoch": 0.64, + "learning_rate": 2.96854815803305e-06, + "loss": 0.792, + "step": 21927 + }, + { + "epoch": 0.64, + "learning_rate": 2.9681134368715825e-06, + "loss": 0.6809, + "step": 21928 + }, + { + "epoch": 0.64, + "learning_rate": 2.9676787341072544e-06, + "loss": 0.544, + "step": 21929 + }, + { + "epoch": 0.64, + "learning_rate": 2.9672440497440013e-06, + "loss": 0.4393, + "step": 21930 + }, + { + "epoch": 0.64, + "learning_rate": 2.9668093837857594e-06, + "loss": 0.589, + "step": 21931 + }, + { + "epoch": 0.64, + "learning_rate": 2.966374736236463e-06, + "loss": 0.7895, + "step": 21932 + }, + { + "epoch": 0.64, + "learning_rate": 2.9659401071000487e-06, + "loss": 0.6858, + "step": 21933 + }, + { + "epoch": 0.64, + "learning_rate": 2.9655054963804515e-06, + "loss": 0.756, + "step": 21934 + }, + { + "epoch": 0.64, + "learning_rate": 2.9650709040816054e-06, + "loss": 0.5424, + "step": 21935 + }, + { + "epoch": 0.64, + "learning_rate": 2.964636330207447e-06, + "loss": 0.6262, + "step": 21936 + }, + { + "epoch": 0.64, + "learning_rate": 2.96420177476191e-06, + "loss": 0.7106, + "step": 21937 + }, + { + "epoch": 0.64, + "learning_rate": 2.963767237748927e-06, + "loss": 0.7253, + "step": 21938 + }, + { + "epoch": 0.64, + "learning_rate": 2.963332719172436e-06, + "loss": 0.3899, + "step": 21939 + }, + { + "epoch": 0.64, + "learning_rate": 2.9628982190363708e-06, + "loss": 0.7569, + "step": 21940 + }, + { + "epoch": 0.64, + "learning_rate": 2.9624637373446637e-06, + "loss": 0.476, + "step": 21941 + }, + { + "epoch": 0.64, + "learning_rate": 2.962029274101249e-06, + "loss": 0.6029, + "step": 21942 + }, + { + "epoch": 0.64, + "learning_rate": 2.9615948293100614e-06, + "loss": 0.8746, + "step": 21943 + }, + { + "epoch": 0.64, + "learning_rate": 2.961160402975033e-06, + "loss": 0.8626, + "step": 21944 + }, + { + "epoch": 0.64, + "learning_rate": 2.960725995100099e-06, + "loss": 0.6933, + "step": 21945 + }, + { + "epoch": 0.64, + "learning_rate": 2.9602916056891907e-06, + "loss": 0.773, + "step": 21946 + }, + { + "epoch": 0.64, + "learning_rate": 2.9598572347462423e-06, + "loss": 0.8257, + "step": 21947 + }, + { + "epoch": 0.64, + "learning_rate": 2.959422882275185e-06, + "loss": 0.661, + "step": 21948 + }, + { + "epoch": 0.64, + "learning_rate": 2.9589885482799545e-06, + "loss": 0.894, + "step": 21949 + }, + { + "epoch": 0.64, + "learning_rate": 2.9585542327644823e-06, + "loss": 0.5339, + "step": 21950 + }, + { + "epoch": 0.64, + "learning_rate": 2.9581199357326997e-06, + "loss": 0.7346, + "step": 21951 + }, + { + "epoch": 0.64, + "learning_rate": 2.9576856571885394e-06, + "loss": 0.854, + "step": 21952 + }, + { + "epoch": 0.64, + "learning_rate": 2.957251397135933e-06, + "loss": 0.8517, + "step": 21953 + }, + { + "epoch": 0.64, + "learning_rate": 2.956817155578814e-06, + "loss": 0.6964, + "step": 21954 + }, + { + "epoch": 0.65, + "learning_rate": 2.9563829325211126e-06, + "loss": 0.8095, + "step": 21955 + }, + { + "epoch": 0.65, + "learning_rate": 2.9559487279667604e-06, + "loss": 0.7333, + "step": 21956 + }, + { + "epoch": 0.65, + "learning_rate": 2.9555145419196894e-06, + "loss": 0.7811, + "step": 21957 + }, + { + "epoch": 0.65, + "learning_rate": 2.9550803743838284e-06, + "loss": 0.752, + "step": 21958 + }, + { + "epoch": 0.65, + "learning_rate": 2.9546462253631136e-06, + "loss": 0.6369, + "step": 21959 + }, + { + "epoch": 0.65, + "learning_rate": 2.9542120948614724e-06, + "loss": 0.5973, + "step": 21960 + }, + { + "epoch": 0.65, + "learning_rate": 2.9537779828828357e-06, + "loss": 0.6305, + "step": 21961 + }, + { + "epoch": 0.65, + "learning_rate": 2.9533438894311343e-06, + "loss": 0.6369, + "step": 21962 + }, + { + "epoch": 0.65, + "learning_rate": 2.952909814510299e-06, + "loss": 0.6619, + "step": 21963 + }, + { + "epoch": 0.65, + "learning_rate": 2.95247575812426e-06, + "loss": 0.9239, + "step": 21964 + }, + { + "epoch": 0.65, + "learning_rate": 2.9520417202769463e-06, + "loss": 0.8165, + "step": 21965 + }, + { + "epoch": 0.65, + "learning_rate": 2.9516077009722886e-06, + "loss": 0.9676, + "step": 21966 + }, + { + "epoch": 0.65, + "learning_rate": 2.9511737002142173e-06, + "loss": 0.6102, + "step": 21967 + }, + { + "epoch": 0.65, + "learning_rate": 2.9507397180066584e-06, + "loss": 0.8994, + "step": 21968 + }, + { + "epoch": 0.65, + "learning_rate": 2.950305754353546e-06, + "loss": 0.6781, + "step": 21969 + }, + { + "epoch": 0.65, + "learning_rate": 2.9498718092588076e-06, + "loss": 0.9952, + "step": 21970 + }, + { + "epoch": 0.65, + "learning_rate": 2.9494378827263715e-06, + "loss": 0.9125, + "step": 21971 + }, + { + "epoch": 0.65, + "learning_rate": 2.949003974760168e-06, + "loss": 0.9071, + "step": 21972 + }, + { + "epoch": 0.65, + "learning_rate": 2.948570085364124e-06, + "loss": 0.5394, + "step": 21973 + }, + { + "epoch": 0.65, + "learning_rate": 2.948136214542169e-06, + "loss": 0.624, + "step": 21974 + }, + { + "epoch": 0.65, + "learning_rate": 2.94770236229823e-06, + "loss": 0.5955, + "step": 21975 + }, + { + "epoch": 0.65, + "learning_rate": 2.947268528636238e-06, + "loss": 0.7821, + "step": 21976 + }, + { + "epoch": 0.65, + "learning_rate": 2.9468347135601182e-06, + "loss": 0.6631, + "step": 21977 + }, + { + "epoch": 0.65, + "learning_rate": 2.9464009170737983e-06, + "loss": 0.6393, + "step": 21978 + }, + { + "epoch": 0.65, + "learning_rate": 2.945967139181209e-06, + "loss": 0.8145, + "step": 21979 + }, + { + "epoch": 0.65, + "learning_rate": 2.945533379886276e-06, + "loss": 0.6704, + "step": 21980 + }, + { + "epoch": 0.65, + "learning_rate": 2.945099639192927e-06, + "loss": 0.7574, + "step": 21981 + }, + { + "epoch": 0.65, + "learning_rate": 2.944665917105089e-06, + "loss": 0.8923, + "step": 21982 + }, + { + "epoch": 0.65, + "learning_rate": 2.9442322136266887e-06, + "loss": 0.9065, + "step": 21983 + }, + { + "epoch": 0.65, + "learning_rate": 2.943798528761653e-06, + "loss": 0.8571, + "step": 21984 + }, + { + "epoch": 0.65, + "learning_rate": 2.94336486251391e-06, + "loss": 0.8227, + "step": 21985 + }, + { + "epoch": 0.65, + "learning_rate": 2.9429312148873845e-06, + "loss": 0.6554, + "step": 21986 + }, + { + "epoch": 0.65, + "learning_rate": 2.9424975858860005e-06, + "loss": 0.7309, + "step": 21987 + }, + { + "epoch": 0.65, + "learning_rate": 2.94206397551369e-06, + "loss": 0.8303, + "step": 21988 + }, + { + "epoch": 0.65, + "learning_rate": 2.9416303837743754e-06, + "loss": 0.6637, + "step": 21989 + }, + { + "epoch": 0.65, + "learning_rate": 2.9411968106719834e-06, + "loss": 0.7939, + "step": 21990 + }, + { + "epoch": 0.65, + "learning_rate": 2.9407632562104394e-06, + "loss": 0.7586, + "step": 21991 + }, + { + "epoch": 0.65, + "learning_rate": 2.9403297203936694e-06, + "loss": 0.6191, + "step": 21992 + }, + { + "epoch": 0.65, + "learning_rate": 2.939896203225598e-06, + "loss": 0.7827, + "step": 21993 + }, + { + "epoch": 0.65, + "learning_rate": 2.9394627047101497e-06, + "loss": 0.7267, + "step": 21994 + }, + { + "epoch": 0.65, + "learning_rate": 2.939029224851252e-06, + "loss": 0.7736, + "step": 21995 + }, + { + "epoch": 0.65, + "learning_rate": 2.9385957636528266e-06, + "loss": 0.769, + "step": 21996 + }, + { + "epoch": 0.65, + "learning_rate": 2.9381623211187994e-06, + "loss": 0.9723, + "step": 21997 + }, + { + "epoch": 0.65, + "learning_rate": 2.937728897253096e-06, + "loss": 0.906, + "step": 21998 + }, + { + "epoch": 0.65, + "learning_rate": 2.9372954920596396e-06, + "loss": 0.6385, + "step": 21999 + }, + { + "epoch": 0.65, + "learning_rate": 2.936862105542355e-06, + "loss": 0.6668, + "step": 22000 + }, + { + "epoch": 0.65, + "learning_rate": 2.936428737705166e-06, + "loss": 0.722, + "step": 22001 + }, + { + "epoch": 0.65, + "learning_rate": 2.935995388551996e-06, + "loss": 0.5135, + "step": 22002 + }, + { + "epoch": 0.65, + "learning_rate": 2.9355620580867685e-06, + "loss": 0.6452, + "step": 22003 + }, + { + "epoch": 0.65, + "learning_rate": 2.9351287463134076e-06, + "loss": 0.6015, + "step": 22004 + }, + { + "epoch": 0.65, + "learning_rate": 2.9346954532358364e-06, + "loss": 0.74, + "step": 22005 + }, + { + "epoch": 0.65, + "learning_rate": 2.9342621788579773e-06, + "loss": 0.4897, + "step": 22006 + }, + { + "epoch": 0.65, + "learning_rate": 2.9338289231837525e-06, + "loss": 0.9283, + "step": 22007 + }, + { + "epoch": 0.65, + "learning_rate": 2.9333956862170877e-06, + "loss": 0.8671, + "step": 22008 + }, + { + "epoch": 0.65, + "learning_rate": 2.9329624679619038e-06, + "loss": 0.444, + "step": 22009 + }, + { + "epoch": 0.65, + "learning_rate": 2.932529268422124e-06, + "loss": 0.9018, + "step": 22010 + }, + { + "epoch": 0.65, + "learning_rate": 2.93209608760167e-06, + "loss": 0.4578, + "step": 22011 + }, + { + "epoch": 0.65, + "learning_rate": 2.931662925504464e-06, + "loss": 0.5585, + "step": 22012 + }, + { + "epoch": 0.65, + "learning_rate": 2.931229782134427e-06, + "loss": 0.5585, + "step": 22013 + }, + { + "epoch": 0.65, + "learning_rate": 2.9307966574954825e-06, + "loss": 0.6221, + "step": 22014 + }, + { + "epoch": 0.65, + "learning_rate": 2.930363551591551e-06, + "loss": 0.8231, + "step": 22015 + }, + { + "epoch": 0.65, + "learning_rate": 2.929930464426555e-06, + "loss": 0.6804, + "step": 22016 + }, + { + "epoch": 0.65, + "learning_rate": 2.9294973960044126e-06, + "loss": 0.5414, + "step": 22017 + }, + { + "epoch": 0.65, + "learning_rate": 2.9290643463290487e-06, + "loss": 0.7056, + "step": 22018 + }, + { + "epoch": 0.65, + "learning_rate": 2.9286313154043833e-06, + "loss": 0.6975, + "step": 22019 + }, + { + "epoch": 0.65, + "learning_rate": 2.928198303234336e-06, + "loss": 0.6662, + "step": 22020 + }, + { + "epoch": 0.65, + "learning_rate": 2.927765309822828e-06, + "loss": 0.7664, + "step": 22021 + }, + { + "epoch": 0.65, + "learning_rate": 2.9273323351737802e-06, + "loss": 0.6348, + "step": 22022 + }, + { + "epoch": 0.65, + "learning_rate": 2.9268993792911115e-06, + "loss": 0.6874, + "step": 22023 + }, + { + "epoch": 0.65, + "learning_rate": 2.9264664421787437e-06, + "loss": 0.8782, + "step": 22024 + }, + { + "epoch": 0.65, + "learning_rate": 2.9260335238405957e-06, + "loss": 0.8049, + "step": 22025 + }, + { + "epoch": 0.65, + "learning_rate": 2.9256006242805874e-06, + "loss": 0.741, + "step": 22026 + }, + { + "epoch": 0.65, + "learning_rate": 2.925167743502636e-06, + "loss": 0.9241, + "step": 22027 + }, + { + "epoch": 0.65, + "learning_rate": 2.924734881510666e-06, + "loss": 0.7666, + "step": 22028 + }, + { + "epoch": 0.65, + "learning_rate": 2.924302038308593e-06, + "loss": 0.6716, + "step": 22029 + }, + { + "epoch": 0.65, + "learning_rate": 2.9238692139003377e-06, + "loss": 0.6844, + "step": 22030 + }, + { + "epoch": 0.65, + "learning_rate": 2.9234364082898176e-06, + "loss": 0.8055, + "step": 22031 + }, + { + "epoch": 0.65, + "learning_rate": 2.923003621480952e-06, + "loss": 0.7975, + "step": 22032 + }, + { + "epoch": 0.65, + "learning_rate": 2.92257085347766e-06, + "loss": 0.5646, + "step": 22033 + }, + { + "epoch": 0.65, + "learning_rate": 2.922138104283859e-06, + "loss": 0.706, + "step": 22034 + }, + { + "epoch": 0.65, + "learning_rate": 2.9217053739034684e-06, + "loss": 0.4026, + "step": 22035 + }, + { + "epoch": 0.65, + "learning_rate": 2.9212726623404048e-06, + "loss": 0.5822, + "step": 22036 + }, + { + "epoch": 0.65, + "learning_rate": 2.9208399695985856e-06, + "loss": 0.6263, + "step": 22037 + }, + { + "epoch": 0.65, + "learning_rate": 2.9204072956819313e-06, + "loss": 0.7036, + "step": 22038 + }, + { + "epoch": 0.65, + "learning_rate": 2.9199746405943574e-06, + "loss": 0.5557, + "step": 22039 + }, + { + "epoch": 0.65, + "learning_rate": 2.9195420043397814e-06, + "loss": 0.6512, + "step": 22040 + }, + { + "epoch": 0.65, + "learning_rate": 2.91910938692212e-06, + "loss": 0.715, + "step": 22041 + }, + { + "epoch": 0.65, + "learning_rate": 2.918676788345293e-06, + "loss": 0.7166, + "step": 22042 + }, + { + "epoch": 0.65, + "learning_rate": 2.9182442086132134e-06, + "loss": 0.5189, + "step": 22043 + }, + { + "epoch": 0.65, + "learning_rate": 2.9178116477298013e-06, + "loss": 0.7215, + "step": 22044 + }, + { + "epoch": 0.65, + "learning_rate": 2.917379105698969e-06, + "loss": 1.172, + "step": 22045 + }, + { + "epoch": 0.65, + "learning_rate": 2.916946582524638e-06, + "loss": 0.8465, + "step": 22046 + }, + { + "epoch": 0.65, + "learning_rate": 2.9165140782107198e-06, + "loss": 0.8963, + "step": 22047 + }, + { + "epoch": 0.65, + "learning_rate": 2.9160815927611324e-06, + "loss": 0.6582, + "step": 22048 + }, + { + "epoch": 0.65, + "learning_rate": 2.9156491261797935e-06, + "loss": 0.752, + "step": 22049 + }, + { + "epoch": 0.65, + "learning_rate": 2.9152166784706147e-06, + "loss": 0.5951, + "step": 22050 + }, + { + "epoch": 0.65, + "learning_rate": 2.9147842496375163e-06, + "loss": 0.5272, + "step": 22051 + }, + { + "epoch": 0.65, + "learning_rate": 2.9143518396844084e-06, + "loss": 0.5688, + "step": 22052 + }, + { + "epoch": 0.65, + "learning_rate": 2.9139194486152106e-06, + "loss": 0.8302, + "step": 22053 + }, + { + "epoch": 0.65, + "learning_rate": 2.913487076433834e-06, + "loss": 0.902, + "step": 22054 + }, + { + "epoch": 0.65, + "learning_rate": 2.9130547231441975e-06, + "loss": 0.746, + "step": 22055 + }, + { + "epoch": 0.65, + "learning_rate": 2.9126223887502092e-06, + "loss": 0.8316, + "step": 22056 + }, + { + "epoch": 0.65, + "learning_rate": 2.9121900732557922e-06, + "loss": 0.9219, + "step": 22057 + }, + { + "epoch": 0.65, + "learning_rate": 2.9117577766648547e-06, + "loss": 0.8259, + "step": 22058 + }, + { + "epoch": 0.65, + "learning_rate": 2.9113254989813143e-06, + "loss": 0.7926, + "step": 22059 + }, + { + "epoch": 0.65, + "learning_rate": 2.910893240209081e-06, + "loss": 0.6363, + "step": 22060 + }, + { + "epoch": 0.65, + "learning_rate": 2.9104610003520734e-06, + "loss": 0.7038, + "step": 22061 + }, + { + "epoch": 0.65, + "learning_rate": 2.9100287794142e-06, + "loss": 0.7669, + "step": 22062 + }, + { + "epoch": 0.65, + "learning_rate": 2.9095965773993784e-06, + "loss": 0.8323, + "step": 22063 + }, + { + "epoch": 0.65, + "learning_rate": 2.909164394311519e-06, + "loss": 0.8644, + "step": 22064 + }, + { + "epoch": 0.65, + "learning_rate": 2.9087322301545374e-06, + "loss": 0.7685, + "step": 22065 + }, + { + "epoch": 0.65, + "learning_rate": 2.908300084932343e-06, + "loss": 0.5875, + "step": 22066 + }, + { + "epoch": 0.65, + "learning_rate": 2.907867958648851e-06, + "loss": 0.6957, + "step": 22067 + }, + { + "epoch": 0.65, + "learning_rate": 2.9074358513079757e-06, + "loss": 0.7931, + "step": 22068 + }, + { + "epoch": 0.65, + "learning_rate": 2.9070037629136256e-06, + "loss": 0.8403, + "step": 22069 + }, + { + "epoch": 0.65, + "learning_rate": 2.906571693469716e-06, + "loss": 0.664, + "step": 22070 + }, + { + "epoch": 0.65, + "learning_rate": 2.906139642980157e-06, + "loss": 0.7961, + "step": 22071 + }, + { + "epoch": 0.65, + "learning_rate": 2.9057076114488624e-06, + "loss": 0.9483, + "step": 22072 + }, + { + "epoch": 0.65, + "learning_rate": 2.9052755988797404e-06, + "loss": 0.9875, + "step": 22073 + }, + { + "epoch": 0.65, + "learning_rate": 2.9048436052767073e-06, + "loss": 0.474, + "step": 22074 + }, + { + "epoch": 0.65, + "learning_rate": 2.90441163064367e-06, + "loss": 0.61, + "step": 22075 + }, + { + "epoch": 0.65, + "learning_rate": 2.9039796749845405e-06, + "loss": 0.747, + "step": 22076 + }, + { + "epoch": 0.65, + "learning_rate": 2.9035477383032323e-06, + "loss": 0.852, + "step": 22077 + }, + { + "epoch": 0.65, + "learning_rate": 2.903115820603657e-06, + "loss": 0.8896, + "step": 22078 + }, + { + "epoch": 0.65, + "learning_rate": 2.9026839218897206e-06, + "loss": 0.9126, + "step": 22079 + }, + { + "epoch": 0.65, + "learning_rate": 2.902252042165338e-06, + "loss": 0.6317, + "step": 22080 + }, + { + "epoch": 0.65, + "learning_rate": 2.901820181434416e-06, + "loss": 0.7496, + "step": 22081 + }, + { + "epoch": 0.65, + "learning_rate": 2.901388339700869e-06, + "loss": 0.7153, + "step": 22082 + }, + { + "epoch": 0.65, + "learning_rate": 2.900956516968602e-06, + "loss": 0.7138, + "step": 22083 + }, + { + "epoch": 0.65, + "learning_rate": 2.900524713241529e-06, + "loss": 0.7801, + "step": 22084 + }, + { + "epoch": 0.65, + "learning_rate": 2.9000929285235567e-06, + "loss": 0.6265, + "step": 22085 + }, + { + "epoch": 0.65, + "learning_rate": 2.8996611628185954e-06, + "loss": 0.9481, + "step": 22086 + }, + { + "epoch": 0.65, + "learning_rate": 2.899229416130558e-06, + "loss": 0.7376, + "step": 22087 + }, + { + "epoch": 0.65, + "learning_rate": 2.898797688463347e-06, + "loss": 0.7919, + "step": 22088 + }, + { + "epoch": 0.65, + "learning_rate": 2.8983659798208774e-06, + "loss": 0.7227, + "step": 22089 + }, + { + "epoch": 0.65, + "learning_rate": 2.897934290207053e-06, + "loss": 0.6169, + "step": 22090 + }, + { + "epoch": 0.65, + "learning_rate": 2.897502619625787e-06, + "loss": 0.7938, + "step": 22091 + }, + { + "epoch": 0.65, + "learning_rate": 2.897070968080984e-06, + "loss": 1.0922, + "step": 22092 + }, + { + "epoch": 0.65, + "learning_rate": 2.8966393355765554e-06, + "loss": 0.8867, + "step": 22093 + }, + { + "epoch": 0.65, + "learning_rate": 2.8962077221164066e-06, + "loss": 0.6787, + "step": 22094 + }, + { + "epoch": 0.65, + "learning_rate": 2.8957761277044483e-06, + "loss": 0.7602, + "step": 22095 + }, + { + "epoch": 0.65, + "learning_rate": 2.895344552344582e-06, + "loss": 0.7077, + "step": 22096 + }, + { + "epoch": 0.65, + "learning_rate": 2.894912996040725e-06, + "loss": 0.6122, + "step": 22097 + }, + { + "epoch": 0.65, + "learning_rate": 2.8944814587967775e-06, + "loss": 0.6398, + "step": 22098 + }, + { + "epoch": 0.65, + "learning_rate": 2.89404994061665e-06, + "loss": 0.5944, + "step": 22099 + }, + { + "epoch": 0.65, + "learning_rate": 2.893618441504247e-06, + "loss": 0.587, + "step": 22100 + }, + { + "epoch": 0.65, + "learning_rate": 2.8931869614634788e-06, + "loss": 0.4906, + "step": 22101 + }, + { + "epoch": 0.65, + "learning_rate": 2.892755500498249e-06, + "loss": 0.9975, + "step": 22102 + }, + { + "epoch": 0.65, + "learning_rate": 2.892324058612466e-06, + "loss": 0.6773, + "step": 22103 + }, + { + "epoch": 0.65, + "learning_rate": 2.891892635810034e-06, + "loss": 0.5214, + "step": 22104 + }, + { + "epoch": 0.65, + "learning_rate": 2.8914612320948628e-06, + "loss": 0.502, + "step": 22105 + }, + { + "epoch": 0.65, + "learning_rate": 2.891029847470854e-06, + "loss": 0.7827, + "step": 22106 + }, + { + "epoch": 0.65, + "learning_rate": 2.8905984819419157e-06, + "loss": 0.8058, + "step": 22107 + }, + { + "epoch": 0.65, + "learning_rate": 2.8901671355119554e-06, + "loss": 0.9524, + "step": 22108 + }, + { + "epoch": 0.65, + "learning_rate": 2.889735808184876e-06, + "loss": 0.6505, + "step": 22109 + }, + { + "epoch": 0.65, + "learning_rate": 2.889304499964584e-06, + "loss": 0.6368, + "step": 22110 + }, + { + "epoch": 0.65, + "learning_rate": 2.888873210854983e-06, + "loss": 0.679, + "step": 22111 + }, + { + "epoch": 0.65, + "learning_rate": 2.888441940859982e-06, + "loss": 0.7967, + "step": 22112 + }, + { + "epoch": 0.65, + "learning_rate": 2.888010689983479e-06, + "loss": 0.5611, + "step": 22113 + }, + { + "epoch": 0.65, + "learning_rate": 2.8875794582293858e-06, + "loss": 0.4972, + "step": 22114 + }, + { + "epoch": 0.65, + "learning_rate": 2.887148245601602e-06, + "loss": 0.8536, + "step": 22115 + }, + { + "epoch": 0.65, + "learning_rate": 2.8867170521040333e-06, + "loss": 0.7821, + "step": 22116 + }, + { + "epoch": 0.65, + "learning_rate": 2.8862858777405843e-06, + "loss": 0.9676, + "step": 22117 + }, + { + "epoch": 0.65, + "learning_rate": 2.88585472251516e-06, + "loss": 0.6515, + "step": 22118 + }, + { + "epoch": 0.65, + "learning_rate": 2.8854235864316617e-06, + "loss": 0.814, + "step": 22119 + }, + { + "epoch": 0.65, + "learning_rate": 2.8849924694939956e-06, + "loss": 0.6831, + "step": 22120 + }, + { + "epoch": 0.65, + "learning_rate": 2.884561371706062e-06, + "loss": 0.7473, + "step": 22121 + }, + { + "epoch": 0.65, + "learning_rate": 2.8841302930717684e-06, + "loss": 0.8507, + "step": 22122 + }, + { + "epoch": 0.65, + "learning_rate": 2.8836992335950132e-06, + "loss": 0.6661, + "step": 22123 + }, + { + "epoch": 0.65, + "learning_rate": 2.8832681932797023e-06, + "loss": 0.658, + "step": 22124 + }, + { + "epoch": 0.65, + "learning_rate": 2.882837172129737e-06, + "loss": 0.6725, + "step": 22125 + }, + { + "epoch": 0.65, + "learning_rate": 2.88240617014902e-06, + "loss": 0.6495, + "step": 22126 + }, + { + "epoch": 0.65, + "learning_rate": 2.881975187341456e-06, + "loss": 0.728, + "step": 22127 + }, + { + "epoch": 0.65, + "learning_rate": 2.881544223710944e-06, + "loss": 0.9513, + "step": 22128 + }, + { + "epoch": 0.65, + "learning_rate": 2.8811132792613887e-06, + "loss": 0.5815, + "step": 22129 + }, + { + "epoch": 0.65, + "learning_rate": 2.880682353996689e-06, + "loss": 0.6576, + "step": 22130 + }, + { + "epoch": 0.65, + "learning_rate": 2.88025144792075e-06, + "loss": 0.7372, + "step": 22131 + }, + { + "epoch": 0.65, + "learning_rate": 2.8798205610374697e-06, + "loss": 0.4879, + "step": 22132 + }, + { + "epoch": 0.65, + "learning_rate": 2.879389693350753e-06, + "loss": 0.6359, + "step": 22133 + }, + { + "epoch": 0.65, + "learning_rate": 2.878958844864498e-06, + "loss": 0.6729, + "step": 22134 + }, + { + "epoch": 0.65, + "learning_rate": 2.8785280155826063e-06, + "loss": 0.8506, + "step": 22135 + }, + { + "epoch": 0.65, + "learning_rate": 2.8780972055089795e-06, + "loss": 0.86, + "step": 22136 + }, + { + "epoch": 0.65, + "learning_rate": 2.87766641464752e-06, + "loss": 0.6013, + "step": 22137 + }, + { + "epoch": 0.65, + "learning_rate": 2.8772356430021248e-06, + "loss": 0.8442, + "step": 22138 + }, + { + "epoch": 0.65, + "learning_rate": 2.8768048905766976e-06, + "loss": 0.7052, + "step": 22139 + }, + { + "epoch": 0.65, + "learning_rate": 2.8763741573751347e-06, + "loss": 0.8993, + "step": 22140 + }, + { + "epoch": 0.65, + "learning_rate": 2.87594344340134e-06, + "loss": 0.9228, + "step": 22141 + }, + { + "epoch": 0.65, + "learning_rate": 2.87551274865921e-06, + "loss": 0.8426, + "step": 22142 + }, + { + "epoch": 0.65, + "learning_rate": 2.8750820731526475e-06, + "loss": 0.7804, + "step": 22143 + }, + { + "epoch": 0.65, + "learning_rate": 2.8746514168855477e-06, + "loss": 0.7014, + "step": 22144 + }, + { + "epoch": 0.65, + "learning_rate": 2.874220779861813e-06, + "loss": 0.6395, + "step": 22145 + }, + { + "epoch": 0.65, + "learning_rate": 2.8737901620853424e-06, + "loss": 0.9255, + "step": 22146 + }, + { + "epoch": 0.65, + "learning_rate": 2.873359563560033e-06, + "loss": 0.7058, + "step": 22147 + }, + { + "epoch": 0.65, + "learning_rate": 2.8729289842897867e-06, + "loss": 0.8671, + "step": 22148 + }, + { + "epoch": 0.65, + "learning_rate": 2.8724984242784983e-06, + "loss": 0.6316, + "step": 22149 + }, + { + "epoch": 0.65, + "learning_rate": 2.87206788353007e-06, + "loss": 0.7764, + "step": 22150 + }, + { + "epoch": 0.65, + "learning_rate": 2.871637362048395e-06, + "loss": 0.5415, + "step": 22151 + }, + { + "epoch": 0.65, + "learning_rate": 2.8712068598373765e-06, + "loss": 0.5819, + "step": 22152 + }, + { + "epoch": 0.65, + "learning_rate": 2.870776376900909e-06, + "loss": 0.8747, + "step": 22153 + }, + { + "epoch": 0.65, + "learning_rate": 2.8703459132428925e-06, + "loss": 0.6189, + "step": 22154 + }, + { + "epoch": 0.65, + "learning_rate": 2.8699154688672195e-06, + "loss": 0.9323, + "step": 22155 + }, + { + "epoch": 0.65, + "learning_rate": 2.8694850437777955e-06, + "loss": 0.615, + "step": 22156 + }, + { + "epoch": 0.65, + "learning_rate": 2.869054637978511e-06, + "loss": 0.6981, + "step": 22157 + }, + { + "epoch": 0.65, + "learning_rate": 2.868624251473267e-06, + "loss": 0.7093, + "step": 22158 + }, + { + "epoch": 0.65, + "learning_rate": 2.8681938842659575e-06, + "loss": 0.7526, + "step": 22159 + }, + { + "epoch": 0.65, + "learning_rate": 2.8677635363604817e-06, + "loss": 0.5109, + "step": 22160 + }, + { + "epoch": 0.65, + "learning_rate": 2.8673332077607325e-06, + "loss": 0.69, + "step": 22161 + }, + { + "epoch": 0.65, + "learning_rate": 2.8669028984706104e-06, + "loss": 0.9005, + "step": 22162 + }, + { + "epoch": 0.65, + "learning_rate": 2.8664726084940076e-06, + "loss": 0.6182, + "step": 22163 + }, + { + "epoch": 0.65, + "learning_rate": 2.8660423378348233e-06, + "loss": 1.0184, + "step": 22164 + }, + { + "epoch": 0.65, + "learning_rate": 2.8656120864969506e-06, + "loss": 0.6766, + "step": 22165 + }, + { + "epoch": 0.65, + "learning_rate": 2.8651818544842857e-06, + "loss": 0.6806, + "step": 22166 + }, + { + "epoch": 0.65, + "learning_rate": 2.8647516418007272e-06, + "loss": 0.5427, + "step": 22167 + }, + { + "epoch": 0.65, + "learning_rate": 2.864321448450166e-06, + "loss": 0.9605, + "step": 22168 + }, + { + "epoch": 0.65, + "learning_rate": 2.8638912744365e-06, + "loss": 0.6001, + "step": 22169 + }, + { + "epoch": 0.65, + "learning_rate": 2.8634611197636212e-06, + "loss": 0.7724, + "step": 22170 + }, + { + "epoch": 0.65, + "learning_rate": 2.863030984435429e-06, + "loss": 0.7887, + "step": 22171 + }, + { + "epoch": 0.65, + "learning_rate": 2.8626008684558122e-06, + "loss": 0.6716, + "step": 22172 + }, + { + "epoch": 0.65, + "learning_rate": 2.86217077182867e-06, + "loss": 0.4913, + "step": 22173 + }, + { + "epoch": 0.65, + "learning_rate": 2.861740694557893e-06, + "loss": 0.8511, + "step": 22174 + }, + { + "epoch": 0.65, + "learning_rate": 2.8613106366473763e-06, + "loss": 0.7352, + "step": 22175 + }, + { + "epoch": 0.65, + "learning_rate": 2.860880598101015e-06, + "loss": 0.7032, + "step": 22176 + }, + { + "epoch": 0.65, + "learning_rate": 2.860450578922704e-06, + "loss": 0.6544, + "step": 22177 + }, + { + "epoch": 0.65, + "learning_rate": 2.8600205791163327e-06, + "loss": 0.8557, + "step": 22178 + }, + { + "epoch": 0.65, + "learning_rate": 2.859590598685798e-06, + "loss": 0.606, + "step": 22179 + }, + { + "epoch": 0.65, + "learning_rate": 2.85916063763499e-06, + "loss": 0.5057, + "step": 22180 + }, + { + "epoch": 0.65, + "learning_rate": 2.8587306959678053e-06, + "loss": 0.8549, + "step": 22181 + }, + { + "epoch": 0.65, + "learning_rate": 2.8583007736881316e-06, + "loss": 0.7403, + "step": 22182 + }, + { + "epoch": 0.65, + "learning_rate": 2.8578708707998682e-06, + "loss": 0.8691, + "step": 22183 + }, + { + "epoch": 0.65, + "learning_rate": 2.857440987306901e-06, + "loss": 0.6574, + "step": 22184 + }, + { + "epoch": 0.65, + "learning_rate": 2.8570111232131246e-06, + "loss": 0.7758, + "step": 22185 + }, + { + "epoch": 0.65, + "learning_rate": 2.8565812785224346e-06, + "loss": 0.6092, + "step": 22186 + }, + { + "epoch": 0.65, + "learning_rate": 2.856151453238717e-06, + "loss": 0.6447, + "step": 22187 + }, + { + "epoch": 0.65, + "learning_rate": 2.855721647365869e-06, + "loss": 0.6413, + "step": 22188 + }, + { + "epoch": 0.65, + "learning_rate": 2.855291860907777e-06, + "loss": 0.742, + "step": 22189 + }, + { + "epoch": 0.65, + "learning_rate": 2.854862093868338e-06, + "loss": 0.4412, + "step": 22190 + }, + { + "epoch": 0.65, + "learning_rate": 2.8544323462514375e-06, + "loss": 0.7916, + "step": 22191 + }, + { + "epoch": 0.65, + "learning_rate": 2.854002618060971e-06, + "loss": 0.637, + "step": 22192 + }, + { + "epoch": 0.65, + "learning_rate": 2.853572909300826e-06, + "loss": 0.9269, + "step": 22193 + }, + { + "epoch": 0.65, + "learning_rate": 2.8531432199748943e-06, + "loss": 0.7771, + "step": 22194 + }, + { + "epoch": 0.65, + "learning_rate": 2.8527135500870674e-06, + "loss": 0.6246, + "step": 22195 + }, + { + "epoch": 0.65, + "learning_rate": 2.852283899641236e-06, + "loss": 0.6098, + "step": 22196 + }, + { + "epoch": 0.65, + "learning_rate": 2.851854268641288e-06, + "loss": 0.8141, + "step": 22197 + }, + { + "epoch": 0.65, + "learning_rate": 2.8514246570911165e-06, + "loss": 0.6823, + "step": 22198 + }, + { + "epoch": 0.65, + "learning_rate": 2.850995064994608e-06, + "loss": 0.6875, + "step": 22199 + }, + { + "epoch": 0.65, + "learning_rate": 2.8505654923556548e-06, + "loss": 0.664, + "step": 22200 + }, + { + "epoch": 0.65, + "learning_rate": 2.8501359391781434e-06, + "loss": 0.709, + "step": 22201 + }, + { + "epoch": 0.65, + "learning_rate": 2.8497064054659675e-06, + "loss": 0.8395, + "step": 22202 + }, + { + "epoch": 0.65, + "learning_rate": 2.8492768912230108e-06, + "loss": 0.7251, + "step": 22203 + }, + { + "epoch": 0.65, + "learning_rate": 2.8488473964531645e-06, + "loss": 0.7336, + "step": 22204 + }, + { + "epoch": 0.65, + "learning_rate": 2.8484179211603203e-06, + "loss": 0.4237, + "step": 22205 + }, + { + "epoch": 0.65, + "learning_rate": 2.8479884653483614e-06, + "loss": 0.7545, + "step": 22206 + }, + { + "epoch": 0.65, + "learning_rate": 2.8475590290211817e-06, + "loss": 0.5026, + "step": 22207 + }, + { + "epoch": 0.65, + "learning_rate": 2.8471296121826653e-06, + "loss": 0.6311, + "step": 22208 + }, + { + "epoch": 0.65, + "learning_rate": 2.846700214836703e-06, + "loss": 0.8593, + "step": 22209 + }, + { + "epoch": 0.65, + "learning_rate": 2.846270836987178e-06, + "loss": 0.7631, + "step": 22210 + }, + { + "epoch": 0.65, + "learning_rate": 2.845841478637985e-06, + "loss": 0.6902, + "step": 22211 + }, + { + "epoch": 0.65, + "learning_rate": 2.8454121397930058e-06, + "loss": 0.7205, + "step": 22212 + }, + { + "epoch": 0.65, + "learning_rate": 2.844982820456131e-06, + "loss": 1.2136, + "step": 22213 + }, + { + "epoch": 0.65, + "learning_rate": 2.8445535206312426e-06, + "loss": 0.8482, + "step": 22214 + }, + { + "epoch": 0.65, + "learning_rate": 2.8441242403222345e-06, + "loss": 0.6132, + "step": 22215 + }, + { + "epoch": 0.65, + "learning_rate": 2.84369497953299e-06, + "loss": 0.8846, + "step": 22216 + }, + { + "epoch": 0.65, + "learning_rate": 2.8432657382673973e-06, + "loss": 0.9602, + "step": 22217 + }, + { + "epoch": 0.65, + "learning_rate": 2.8428365165293393e-06, + "loss": 0.8249, + "step": 22218 + }, + { + "epoch": 0.65, + "learning_rate": 2.842407314322707e-06, + "loss": 1.0502, + "step": 22219 + }, + { + "epoch": 0.65, + "learning_rate": 2.8419781316513828e-06, + "loss": 0.6017, + "step": 22220 + }, + { + "epoch": 0.65, + "learning_rate": 2.8415489685192553e-06, + "loss": 0.683, + "step": 22221 + }, + { + "epoch": 0.65, + "learning_rate": 2.841119824930206e-06, + "loss": 0.5753, + "step": 22222 + }, + { + "epoch": 0.65, + "learning_rate": 2.8406907008881267e-06, + "loss": 0.7496, + "step": 22223 + }, + { + "epoch": 0.65, + "learning_rate": 2.840261596396897e-06, + "loss": 0.9552, + "step": 22224 + }, + { + "epoch": 0.65, + "learning_rate": 2.8398325114604045e-06, + "loss": 0.8508, + "step": 22225 + }, + { + "epoch": 0.65, + "learning_rate": 2.8394034460825365e-06, + "loss": 0.5801, + "step": 22226 + }, + { + "epoch": 0.65, + "learning_rate": 2.8389744002671734e-06, + "loss": 0.8947, + "step": 22227 + }, + { + "epoch": 0.65, + "learning_rate": 2.838545374018204e-06, + "loss": 0.657, + "step": 22228 + }, + { + "epoch": 0.65, + "learning_rate": 2.8381163673395083e-06, + "loss": 0.5754, + "step": 22229 + }, + { + "epoch": 0.65, + "learning_rate": 2.8376873802349757e-06, + "loss": 0.4945, + "step": 22230 + }, + { + "epoch": 0.65, + "learning_rate": 2.837258412708486e-06, + "loss": 0.7409, + "step": 22231 + }, + { + "epoch": 0.65, + "learning_rate": 2.836829464763927e-06, + "loss": 0.6275, + "step": 22232 + }, + { + "epoch": 0.65, + "learning_rate": 2.8364005364051785e-06, + "loss": 0.528, + "step": 22233 + }, + { + "epoch": 0.65, + "learning_rate": 2.835971627636126e-06, + "loss": 0.7707, + "step": 22234 + }, + { + "epoch": 0.65, + "learning_rate": 2.8355427384606525e-06, + "loss": 0.5341, + "step": 22235 + }, + { + "epoch": 0.65, + "learning_rate": 2.835113868882644e-06, + "loss": 0.762, + "step": 22236 + }, + { + "epoch": 0.65, + "learning_rate": 2.83468501890598e-06, + "loss": 1.009, + "step": 22237 + }, + { + "epoch": 0.65, + "learning_rate": 2.8342561885345464e-06, + "loss": 0.7845, + "step": 22238 + }, + { + "epoch": 0.65, + "learning_rate": 2.833827377772222e-06, + "loss": 0.6813, + "step": 22239 + }, + { + "epoch": 0.65, + "learning_rate": 2.833398586622894e-06, + "loss": 0.6784, + "step": 22240 + }, + { + "epoch": 0.65, + "learning_rate": 2.83296981509044e-06, + "loss": 0.8978, + "step": 22241 + }, + { + "epoch": 0.65, + "learning_rate": 2.8325410631787464e-06, + "loss": 0.8437, + "step": 22242 + }, + { + "epoch": 0.65, + "learning_rate": 2.832112330891692e-06, + "loss": 0.5833, + "step": 22243 + }, + { + "epoch": 0.65, + "learning_rate": 2.83168361823316e-06, + "loss": 0.8085, + "step": 22244 + }, + { + "epoch": 0.65, + "learning_rate": 2.8312549252070337e-06, + "loss": 0.5801, + "step": 22245 + }, + { + "epoch": 0.65, + "learning_rate": 2.8308262518171912e-06, + "loss": 0.6602, + "step": 22246 + }, + { + "epoch": 0.65, + "learning_rate": 2.8303975980675174e-06, + "loss": 0.9616, + "step": 22247 + }, + { + "epoch": 0.65, + "learning_rate": 2.82996896396189e-06, + "loss": 0.7784, + "step": 22248 + }, + { + "epoch": 0.65, + "learning_rate": 2.829540349504193e-06, + "loss": 0.7946, + "step": 22249 + }, + { + "epoch": 0.65, + "learning_rate": 2.829111754698304e-06, + "loss": 0.7904, + "step": 22250 + }, + { + "epoch": 0.65, + "learning_rate": 2.828683179548107e-06, + "loss": 0.6814, + "step": 22251 + }, + { + "epoch": 0.65, + "learning_rate": 2.8282546240574786e-06, + "loss": 0.703, + "step": 22252 + }, + { + "epoch": 0.65, + "learning_rate": 2.8278260882303015e-06, + "loss": 0.5624, + "step": 22253 + }, + { + "epoch": 0.65, + "learning_rate": 2.8273975720704557e-06, + "loss": 0.4436, + "step": 22254 + }, + { + "epoch": 0.65, + "learning_rate": 2.8269690755818226e-06, + "loss": 0.7381, + "step": 22255 + }, + { + "epoch": 0.65, + "learning_rate": 2.826540598768277e-06, + "loss": 0.6153, + "step": 22256 + }, + { + "epoch": 0.65, + "learning_rate": 2.8261121416337046e-06, + "loss": 0.5601, + "step": 22257 + }, + { + "epoch": 0.65, + "learning_rate": 2.8256837041819796e-06, + "loss": 0.5369, + "step": 22258 + }, + { + "epoch": 0.65, + "learning_rate": 2.8252552864169847e-06, + "loss": 0.7743, + "step": 22259 + }, + { + "epoch": 0.65, + "learning_rate": 2.8248268883425954e-06, + "loss": 0.6505, + "step": 22260 + }, + { + "epoch": 0.65, + "learning_rate": 2.824398509962695e-06, + "loss": 0.6747, + "step": 22261 + }, + { + "epoch": 0.65, + "learning_rate": 2.8239701512811576e-06, + "loss": 0.5513, + "step": 22262 + }, + { + "epoch": 0.65, + "learning_rate": 2.8235418123018633e-06, + "loss": 0.597, + "step": 22263 + }, + { + "epoch": 0.65, + "learning_rate": 2.823113493028693e-06, + "loss": 0.8375, + "step": 22264 + }, + { + "epoch": 0.65, + "learning_rate": 2.8226851934655196e-06, + "loss": 1.0532, + "step": 22265 + }, + { + "epoch": 0.65, + "learning_rate": 2.822256913616227e-06, + "loss": 1.021, + "step": 22266 + }, + { + "epoch": 0.65, + "learning_rate": 2.821828653484688e-06, + "loss": 0.7093, + "step": 22267 + }, + { + "epoch": 0.65, + "learning_rate": 2.8214004130747836e-06, + "loss": 0.9839, + "step": 22268 + }, + { + "epoch": 0.65, + "learning_rate": 2.820972192390388e-06, + "loss": 0.6244, + "step": 22269 + }, + { + "epoch": 0.65, + "learning_rate": 2.8205439914353817e-06, + "loss": 0.7785, + "step": 22270 + }, + { + "epoch": 0.65, + "learning_rate": 2.8201158102136377e-06, + "loss": 0.5988, + "step": 22271 + }, + { + "epoch": 0.65, + "learning_rate": 2.8196876487290383e-06, + "loss": 0.7177, + "step": 22272 + }, + { + "epoch": 0.65, + "learning_rate": 2.8192595069854522e-06, + "loss": 0.5967, + "step": 22273 + }, + { + "epoch": 0.65, + "learning_rate": 2.818831384986765e-06, + "loss": 0.7421, + "step": 22274 + }, + { + "epoch": 0.65, + "learning_rate": 2.818403282736847e-06, + "loss": 0.8402, + "step": 22275 + }, + { + "epoch": 0.65, + "learning_rate": 2.8179752002395775e-06, + "loss": 0.5379, + "step": 22276 + }, + { + "epoch": 0.65, + "learning_rate": 2.8175471374988295e-06, + "loss": 0.746, + "step": 22277 + }, + { + "epoch": 0.65, + "learning_rate": 2.817119094518482e-06, + "loss": 0.6617, + "step": 22278 + }, + { + "epoch": 0.65, + "learning_rate": 2.8166910713024077e-06, + "loss": 0.7379, + "step": 22279 + }, + { + "epoch": 0.65, + "learning_rate": 2.8162630678544843e-06, + "loss": 0.7032, + "step": 22280 + }, + { + "epoch": 0.65, + "learning_rate": 2.815835084178584e-06, + "loss": 0.6131, + "step": 22281 + }, + { + "epoch": 0.65, + "learning_rate": 2.8154071202785863e-06, + "loss": 0.7497, + "step": 22282 + }, + { + "epoch": 0.65, + "learning_rate": 2.81497917615836e-06, + "loss": 0.7975, + "step": 22283 + }, + { + "epoch": 0.65, + "learning_rate": 2.8145512518217867e-06, + "loss": 0.5211, + "step": 22284 + }, + { + "epoch": 0.65, + "learning_rate": 2.8141233472727357e-06, + "loss": 0.5961, + "step": 22285 + }, + { + "epoch": 0.65, + "learning_rate": 2.813695462515086e-06, + "loss": 0.8347, + "step": 22286 + }, + { + "epoch": 0.65, + "learning_rate": 2.813267597552708e-06, + "loss": 0.7958, + "step": 22287 + }, + { + "epoch": 0.65, + "learning_rate": 2.8128397523894744e-06, + "loss": 0.7717, + "step": 22288 + }, + { + "epoch": 0.65, + "learning_rate": 2.812411927029265e-06, + "loss": 0.6447, + "step": 22289 + }, + { + "epoch": 0.65, + "learning_rate": 2.8119841214759464e-06, + "loss": 0.8544, + "step": 22290 + }, + { + "epoch": 0.65, + "learning_rate": 2.8115563357333976e-06, + "loss": 0.7723, + "step": 22291 + }, + { + "epoch": 0.65, + "learning_rate": 2.811128569805488e-06, + "loss": 0.7568, + "step": 22292 + }, + { + "epoch": 0.65, + "learning_rate": 2.810700823696092e-06, + "loss": 0.6889, + "step": 22293 + }, + { + "epoch": 0.65, + "learning_rate": 2.810273097409083e-06, + "loss": 0.6499, + "step": 22294 + }, + { + "epoch": 0.66, + "learning_rate": 2.8098453909483354e-06, + "loss": 0.6208, + "step": 22295 + }, + { + "epoch": 0.66, + "learning_rate": 2.809417704317718e-06, + "loss": 0.868, + "step": 22296 + }, + { + "epoch": 0.66, + "learning_rate": 2.8089900375211064e-06, + "loss": 0.4573, + "step": 22297 + }, + { + "epoch": 0.66, + "learning_rate": 2.8085623905623704e-06, + "loss": 0.7768, + "step": 22298 + }, + { + "epoch": 0.66, + "learning_rate": 2.808134763445385e-06, + "loss": 0.6523, + "step": 22299 + }, + { + "epoch": 0.66, + "learning_rate": 2.8077071561740178e-06, + "loss": 0.5534, + "step": 22300 + }, + { + "epoch": 0.66, + "learning_rate": 2.8072795687521447e-06, + "loss": 0.625, + "step": 22301 + }, + { + "epoch": 0.66, + "learning_rate": 2.806852001183633e-06, + "loss": 0.8235, + "step": 22302 + }, + { + "epoch": 0.66, + "learning_rate": 2.806424453472356e-06, + "loss": 0.8453, + "step": 22303 + }, + { + "epoch": 0.66, + "learning_rate": 2.8059969256221864e-06, + "loss": 0.5466, + "step": 22304 + }, + { + "epoch": 0.66, + "learning_rate": 2.805569417636994e-06, + "loss": 0.732, + "step": 22305 + }, + { + "epoch": 0.66, + "learning_rate": 2.8051419295206483e-06, + "loss": 0.792, + "step": 22306 + }, + { + "epoch": 0.66, + "learning_rate": 2.804714461277023e-06, + "loss": 0.8515, + "step": 22307 + }, + { + "epoch": 0.66, + "learning_rate": 2.8042870129099843e-06, + "loss": 0.6229, + "step": 22308 + }, + { + "epoch": 0.66, + "learning_rate": 2.803859584423406e-06, + "loss": 0.6307, + "step": 22309 + }, + { + "epoch": 0.66, + "learning_rate": 2.803432175821155e-06, + "loss": 0.566, + "step": 22310 + }, + { + "epoch": 0.66, + "learning_rate": 2.803004787107104e-06, + "loss": 0.5196, + "step": 22311 + }, + { + "epoch": 0.66, + "learning_rate": 2.8025774182851216e-06, + "loss": 0.7826, + "step": 22312 + }, + { + "epoch": 0.66, + "learning_rate": 2.802150069359073e-06, + "loss": 0.7881, + "step": 22313 + }, + { + "epoch": 0.66, + "learning_rate": 2.801722740332836e-06, + "loss": 0.8738, + "step": 22314 + }, + { + "epoch": 0.66, + "learning_rate": 2.8012954312102736e-06, + "loss": 0.857, + "step": 22315 + }, + { + "epoch": 0.66, + "learning_rate": 2.8008681419952583e-06, + "loss": 0.6922, + "step": 22316 + }, + { + "epoch": 0.66, + "learning_rate": 2.800440872691655e-06, + "loss": 0.7628, + "step": 22317 + }, + { + "epoch": 0.66, + "learning_rate": 2.800013623303336e-06, + "loss": 0.8002, + "step": 22318 + }, + { + "epoch": 0.66, + "learning_rate": 2.799586393834166e-06, + "loss": 0.7592, + "step": 22319 + }, + { + "epoch": 0.66, + "learning_rate": 2.799159184288018e-06, + "loss": 0.7691, + "step": 22320 + }, + { + "epoch": 0.66, + "learning_rate": 2.7987319946687547e-06, + "loss": 0.5784, + "step": 22321 + }, + { + "epoch": 0.66, + "learning_rate": 2.7983048249802468e-06, + "loss": 0.7344, + "step": 22322 + }, + { + "epoch": 0.66, + "learning_rate": 2.7978776752263614e-06, + "loss": 0.6904, + "step": 22323 + }, + { + "epoch": 0.66, + "learning_rate": 2.797450545410969e-06, + "loss": 0.7429, + "step": 22324 + }, + { + "epoch": 0.66, + "learning_rate": 2.797023435537932e-06, + "loss": 0.7002, + "step": 22325 + }, + { + "epoch": 0.66, + "learning_rate": 2.796596345611122e-06, + "loss": 0.5497, + "step": 22326 + }, + { + "epoch": 0.66, + "learning_rate": 2.7961692756344015e-06, + "loss": 0.7686, + "step": 22327 + }, + { + "epoch": 0.66, + "learning_rate": 2.7957422256116416e-06, + "loss": 0.8015, + "step": 22328 + }, + { + "epoch": 0.66, + "learning_rate": 2.795315195546705e-06, + "loss": 0.6279, + "step": 22329 + }, + { + "epoch": 0.66, + "learning_rate": 2.7948881854434623e-06, + "loss": 0.4161, + "step": 22330 + }, + { + "epoch": 0.66, + "learning_rate": 2.7944611953057755e-06, + "loss": 0.8112, + "step": 22331 + }, + { + "epoch": 0.66, + "learning_rate": 2.7940342251375118e-06, + "loss": 0.6969, + "step": 22332 + }, + { + "epoch": 0.66, + "learning_rate": 2.7936072749425407e-06, + "loss": 0.8325, + "step": 22333 + }, + { + "epoch": 0.66, + "learning_rate": 2.793180344724723e-06, + "loss": 0.8236, + "step": 22334 + }, + { + "epoch": 0.66, + "learning_rate": 2.7927534344879283e-06, + "loss": 0.719, + "step": 22335 + }, + { + "epoch": 0.66, + "learning_rate": 2.7923265442360178e-06, + "loss": 0.4924, + "step": 22336 + }, + { + "epoch": 0.66, + "learning_rate": 2.791899673972861e-06, + "loss": 0.8947, + "step": 22337 + }, + { + "epoch": 0.66, + "learning_rate": 2.7914728237023183e-06, + "loss": 0.896, + "step": 22338 + }, + { + "epoch": 0.66, + "learning_rate": 2.791045993428259e-06, + "loss": 0.6361, + "step": 22339 + }, + { + "epoch": 0.66, + "learning_rate": 2.7906191831545435e-06, + "loss": 0.55, + "step": 22340 + }, + { + "epoch": 0.66, + "learning_rate": 2.790192392885041e-06, + "loss": 0.7863, + "step": 22341 + }, + { + "epoch": 0.66, + "learning_rate": 2.7897656226236085e-06, + "loss": 0.7334, + "step": 22342 + }, + { + "epoch": 0.66, + "learning_rate": 2.789338872374119e-06, + "loss": 0.8182, + "step": 22343 + }, + { + "epoch": 0.66, + "learning_rate": 2.78891214214043e-06, + "loss": 0.6252, + "step": 22344 + }, + { + "epoch": 0.66, + "learning_rate": 2.7884854319264087e-06, + "loss": 0.7191, + "step": 22345 + }, + { + "epoch": 0.66, + "learning_rate": 2.788058741735916e-06, + "loss": 0.5632, + "step": 22346 + }, + { + "epoch": 0.66, + "learning_rate": 2.7876320715728177e-06, + "loss": 0.8591, + "step": 22347 + }, + { + "epoch": 0.66, + "learning_rate": 2.7872054214409737e-06, + "loss": 0.504, + "step": 22348 + }, + { + "epoch": 0.66, + "learning_rate": 2.786778791344251e-06, + "loss": 1.0366, + "step": 22349 + }, + { + "epoch": 0.66, + "learning_rate": 2.786352181286509e-06, + "loss": 0.4527, + "step": 22350 + }, + { + "epoch": 0.66, + "learning_rate": 2.785925591271613e-06, + "loss": 0.7085, + "step": 22351 + }, + { + "epoch": 0.66, + "learning_rate": 2.785499021303423e-06, + "loss": 0.9911, + "step": 22352 + }, + { + "epoch": 0.66, + "learning_rate": 2.785072471385802e-06, + "loss": 0.9046, + "step": 22353 + }, + { + "epoch": 0.66, + "learning_rate": 2.784645941522614e-06, + "loss": 0.6989, + "step": 22354 + }, + { + "epoch": 0.66, + "learning_rate": 2.7842194317177175e-06, + "loss": 0.9222, + "step": 22355 + }, + { + "epoch": 0.66, + "learning_rate": 2.783792941974978e-06, + "loss": 0.7542, + "step": 22356 + }, + { + "epoch": 0.66, + "learning_rate": 2.7833664722982533e-06, + "loss": 0.7417, + "step": 22357 + }, + { + "epoch": 0.66, + "learning_rate": 2.782940022691408e-06, + "loss": 0.835, + "step": 22358 + }, + { + "epoch": 0.66, + "learning_rate": 2.782513593158301e-06, + "loss": 0.9008, + "step": 22359 + }, + { + "epoch": 0.66, + "learning_rate": 2.7820871837027953e-06, + "loss": 0.9241, + "step": 22360 + }, + { + "epoch": 0.66, + "learning_rate": 2.781660794328749e-06, + "loss": 0.6641, + "step": 22361 + }, + { + "epoch": 0.66, + "learning_rate": 2.7812344250400236e-06, + "loss": 0.8035, + "step": 22362 + }, + { + "epoch": 0.66, + "learning_rate": 2.7808080758404798e-06, + "loss": 0.728, + "step": 22363 + }, + { + "epoch": 0.66, + "learning_rate": 2.780381746733981e-06, + "loss": 0.8529, + "step": 22364 + }, + { + "epoch": 0.66, + "learning_rate": 2.7799554377243822e-06, + "loss": 0.983, + "step": 22365 + }, + { + "epoch": 0.66, + "learning_rate": 2.779529148815548e-06, + "loss": 0.698, + "step": 22366 + }, + { + "epoch": 0.66, + "learning_rate": 2.779102880011333e-06, + "loss": 0.7638, + "step": 22367 + }, + { + "epoch": 0.66, + "learning_rate": 2.778676631315602e-06, + "loss": 0.5468, + "step": 22368 + }, + { + "epoch": 0.66, + "learning_rate": 2.778250402732209e-06, + "loss": 0.7812, + "step": 22369 + }, + { + "epoch": 0.66, + "learning_rate": 2.7778241942650186e-06, + "loss": 1.0468, + "step": 22370 + }, + { + "epoch": 0.66, + "learning_rate": 2.7773980059178853e-06, + "loss": 0.8918, + "step": 22371 + }, + { + "epoch": 0.66, + "learning_rate": 2.776971837694669e-06, + "loss": 0.532, + "step": 22372 + }, + { + "epoch": 0.66, + "learning_rate": 2.7765456895992314e-06, + "loss": 0.6466, + "step": 22373 + }, + { + "epoch": 0.66, + "learning_rate": 2.776119561635427e-06, + "loss": 0.8348, + "step": 22374 + }, + { + "epoch": 0.66, + "learning_rate": 2.7756934538071168e-06, + "loss": 0.9102, + "step": 22375 + }, + { + "epoch": 0.66, + "learning_rate": 2.7752673661181564e-06, + "loss": 0.7628, + "step": 22376 + }, + { + "epoch": 0.66, + "learning_rate": 2.7748412985724073e-06, + "loss": 0.922, + "step": 22377 + }, + { + "epoch": 0.66, + "learning_rate": 2.7744152511737222e-06, + "loss": 0.5269, + "step": 22378 + }, + { + "epoch": 0.66, + "learning_rate": 2.773989223925963e-06, + "loss": 0.5597, + "step": 22379 + }, + { + "epoch": 0.66, + "learning_rate": 2.773563216832984e-06, + "loss": 0.6912, + "step": 22380 + }, + { + "epoch": 0.66, + "learning_rate": 2.7731372298986435e-06, + "loss": 0.5496, + "step": 22381 + }, + { + "epoch": 0.66, + "learning_rate": 2.7727112631267983e-06, + "loss": 0.5053, + "step": 22382 + }, + { + "epoch": 0.66, + "learning_rate": 2.7722853165213083e-06, + "loss": 0.6682, + "step": 22383 + }, + { + "epoch": 0.66, + "learning_rate": 2.771859390086025e-06, + "loss": 0.9351, + "step": 22384 + }, + { + "epoch": 0.66, + "learning_rate": 2.7714334838248096e-06, + "loss": 0.7143, + "step": 22385 + }, + { + "epoch": 0.66, + "learning_rate": 2.771007597741514e-06, + "loss": 0.5853, + "step": 22386 + }, + { + "epoch": 0.66, + "learning_rate": 2.770581731839998e-06, + "loss": 0.8195, + "step": 22387 + }, + { + "epoch": 0.66, + "learning_rate": 2.770155886124114e-06, + "loss": 0.7409, + "step": 22388 + }, + { + "epoch": 0.66, + "learning_rate": 2.7697300605977208e-06, + "loss": 0.7336, + "step": 22389 + }, + { + "epoch": 0.66, + "learning_rate": 2.769304255264671e-06, + "loss": 0.8573, + "step": 22390 + }, + { + "epoch": 0.66, + "learning_rate": 2.7688784701288218e-06, + "loss": 0.9686, + "step": 22391 + }, + { + "epoch": 0.66, + "learning_rate": 2.768452705194029e-06, + "loss": 0.7294, + "step": 22392 + }, + { + "epoch": 0.66, + "learning_rate": 2.7680269604641457e-06, + "loss": 0.9276, + "step": 22393 + }, + { + "epoch": 0.66, + "learning_rate": 2.7676012359430292e-06, + "loss": 0.8241, + "step": 22394 + }, + { + "epoch": 0.66, + "learning_rate": 2.7671755316345304e-06, + "loss": 0.631, + "step": 22395 + }, + { + "epoch": 0.66, + "learning_rate": 2.7667498475425083e-06, + "loss": 0.6946, + "step": 22396 + }, + { + "epoch": 0.66, + "learning_rate": 2.7663241836708122e-06, + "loss": 0.5296, + "step": 22397 + }, + { + "epoch": 0.66, + "learning_rate": 2.7658985400233e-06, + "loss": 0.7773, + "step": 22398 + }, + { + "epoch": 0.66, + "learning_rate": 2.765472916603823e-06, + "loss": 0.8935, + "step": 22399 + }, + { + "epoch": 0.66, + "learning_rate": 2.765047313416238e-06, + "loss": 0.6275, + "step": 22400 + }, + { + "epoch": 0.66, + "learning_rate": 2.7646217304643918e-06, + "loss": 1.1811, + "step": 22401 + }, + { + "epoch": 0.66, + "learning_rate": 2.764196167752148e-06, + "loss": 0.5066, + "step": 22402 + }, + { + "epoch": 0.66, + "learning_rate": 2.763770625283351e-06, + "loss": 0.6834, + "step": 22403 + }, + { + "epoch": 0.66, + "learning_rate": 2.763345103061859e-06, + "loss": 0.7514, + "step": 22404 + }, + { + "epoch": 0.66, + "learning_rate": 2.762919601091521e-06, + "loss": 0.7707, + "step": 22405 + }, + { + "epoch": 0.66, + "learning_rate": 2.7624941193761933e-06, + "loss": 0.673, + "step": 22406 + }, + { + "epoch": 0.66, + "learning_rate": 2.7620686579197244e-06, + "loss": 0.5978, + "step": 22407 + }, + { + "epoch": 0.66, + "learning_rate": 2.76164321672597e-06, + "loss": 0.7905, + "step": 22408 + }, + { + "epoch": 0.66, + "learning_rate": 2.761217795798779e-06, + "loss": 0.7157, + "step": 22409 + }, + { + "epoch": 0.66, + "learning_rate": 2.7607923951420067e-06, + "loss": 0.6518, + "step": 22410 + }, + { + "epoch": 0.66, + "learning_rate": 2.760367014759501e-06, + "loss": 0.489, + "step": 22411 + }, + { + "epoch": 0.66, + "learning_rate": 2.759941654655115e-06, + "loss": 0.6985, + "step": 22412 + }, + { + "epoch": 0.66, + "learning_rate": 2.759516314832703e-06, + "loss": 0.739, + "step": 22413 + }, + { + "epoch": 0.66, + "learning_rate": 2.759090995296111e-06, + "loss": 0.6537, + "step": 22414 + }, + { + "epoch": 0.66, + "learning_rate": 2.758665696049194e-06, + "loss": 0.7389, + "step": 22415 + }, + { + "epoch": 0.66, + "learning_rate": 2.7582404170957995e-06, + "loss": 0.7029, + "step": 22416 + }, + { + "epoch": 0.66, + "learning_rate": 2.757815158439782e-06, + "loss": 0.6506, + "step": 22417 + }, + { + "epoch": 0.66, + "learning_rate": 2.757389920084986e-06, + "loss": 0.8023, + "step": 22418 + }, + { + "epoch": 0.66, + "learning_rate": 2.7569647020352684e-06, + "loss": 0.6622, + "step": 22419 + }, + { + "epoch": 0.66, + "learning_rate": 2.7565395042944743e-06, + "loss": 0.7209, + "step": 22420 + }, + { + "epoch": 0.66, + "learning_rate": 2.756114326866455e-06, + "loss": 0.8221, + "step": 22421 + }, + { + "epoch": 0.66, + "learning_rate": 2.75568916975506e-06, + "loss": 0.6232, + "step": 22422 + }, + { + "epoch": 0.66, + "learning_rate": 2.755264032964142e-06, + "loss": 0.6382, + "step": 22423 + }, + { + "epoch": 0.66, + "learning_rate": 2.7548389164975455e-06, + "loss": 0.4821, + "step": 22424 + }, + { + "epoch": 0.66, + "learning_rate": 2.754413820359123e-06, + "loss": 0.8611, + "step": 22425 + }, + { + "epoch": 0.66, + "learning_rate": 2.7539887445527204e-06, + "loss": 0.7469, + "step": 22426 + }, + { + "epoch": 0.66, + "learning_rate": 2.7535636890821894e-06, + "loss": 0.5574, + "step": 22427 + }, + { + "epoch": 0.66, + "learning_rate": 2.7531386539513754e-06, + "loss": 0.6169, + "step": 22428 + }, + { + "epoch": 0.66, + "learning_rate": 2.752713639164131e-06, + "loss": 0.6223, + "step": 22429 + }, + { + "epoch": 0.66, + "learning_rate": 2.752288644724299e-06, + "loss": 0.4909, + "step": 22430 + }, + { + "epoch": 0.66, + "learning_rate": 2.7518636706357317e-06, + "loss": 0.6213, + "step": 22431 + }, + { + "epoch": 0.66, + "learning_rate": 2.751438716902276e-06, + "loss": 0.5893, + "step": 22432 + }, + { + "epoch": 0.66, + "learning_rate": 2.751013783527778e-06, + "loss": 0.8131, + "step": 22433 + }, + { + "epoch": 0.66, + "learning_rate": 2.750588870516088e-06, + "loss": 0.6768, + "step": 22434 + }, + { + "epoch": 0.66, + "learning_rate": 2.750163977871049e-06, + "loss": 0.8868, + "step": 22435 + }, + { + "epoch": 0.66, + "learning_rate": 2.7497391055965128e-06, + "loss": 0.5533, + "step": 22436 + }, + { + "epoch": 0.66, + "learning_rate": 2.749314253696322e-06, + "loss": 0.7174, + "step": 22437 + }, + { + "epoch": 0.66, + "learning_rate": 2.7488894221743266e-06, + "loss": 0.5846, + "step": 22438 + }, + { + "epoch": 0.66, + "learning_rate": 2.7484646110343706e-06, + "loss": 0.6784, + "step": 22439 + }, + { + "epoch": 0.66, + "learning_rate": 2.7480398202803038e-06, + "loss": 0.7187, + "step": 22440 + }, + { + "epoch": 0.66, + "learning_rate": 2.747615049915965e-06, + "loss": 0.7409, + "step": 22441 + }, + { + "epoch": 0.66, + "learning_rate": 2.7471902999452098e-06, + "loss": 0.6335, + "step": 22442 + }, + { + "epoch": 0.66, + "learning_rate": 2.7467655703718775e-06, + "loss": 0.7276, + "step": 22443 + }, + { + "epoch": 0.66, + "learning_rate": 2.7463408611998178e-06, + "loss": 0.5742, + "step": 22444 + }, + { + "epoch": 0.66, + "learning_rate": 2.7459161724328707e-06, + "loss": 0.7036, + "step": 22445 + }, + { + "epoch": 0.66, + "learning_rate": 2.745491504074888e-06, + "loss": 0.8078, + "step": 22446 + }, + { + "epoch": 0.66, + "learning_rate": 2.745066856129709e-06, + "loss": 0.4778, + "step": 22447 + }, + { + "epoch": 0.66, + "learning_rate": 2.744642228601183e-06, + "loss": 0.7289, + "step": 22448 + }, + { + "epoch": 0.66, + "learning_rate": 2.7442176214931504e-06, + "loss": 0.8158, + "step": 22449 + }, + { + "epoch": 0.66, + "learning_rate": 2.7437930348094575e-06, + "loss": 1.0305, + "step": 22450 + }, + { + "epoch": 0.66, + "learning_rate": 2.7433684685539513e-06, + "loss": 0.8274, + "step": 22451 + }, + { + "epoch": 0.66, + "learning_rate": 2.7429439227304722e-06, + "loss": 0.6852, + "step": 22452 + }, + { + "epoch": 0.66, + "learning_rate": 2.7425193973428666e-06, + "loss": 0.8703, + "step": 22453 + }, + { + "epoch": 0.66, + "learning_rate": 2.7420948923949754e-06, + "loss": 0.803, + "step": 22454 + }, + { + "epoch": 0.66, + "learning_rate": 2.7416704078906465e-06, + "loss": 0.844, + "step": 22455 + }, + { + "epoch": 0.66, + "learning_rate": 2.741245943833718e-06, + "loss": 0.3951, + "step": 22456 + }, + { + "epoch": 0.66, + "learning_rate": 2.740821500228038e-06, + "loss": 0.7001, + "step": 22457 + }, + { + "epoch": 0.66, + "learning_rate": 2.740397077077445e-06, + "loss": 0.6083, + "step": 22458 + }, + { + "epoch": 0.66, + "learning_rate": 2.739972674385787e-06, + "loss": 0.927, + "step": 22459 + }, + { + "epoch": 0.66, + "learning_rate": 2.7395482921568985e-06, + "loss": 0.5242, + "step": 22460 + }, + { + "epoch": 0.66, + "learning_rate": 2.739123930394632e-06, + "loss": 0.533, + "step": 22461 + }, + { + "epoch": 0.66, + "learning_rate": 2.738699589102823e-06, + "loss": 0.6507, + "step": 22462 + }, + { + "epoch": 0.66, + "learning_rate": 2.738275268285317e-06, + "loss": 0.6416, + "step": 22463 + }, + { + "epoch": 0.66, + "learning_rate": 2.737850967945953e-06, + "loss": 0.6489, + "step": 22464 + }, + { + "epoch": 0.66, + "learning_rate": 2.737426688088576e-06, + "loss": 0.6534, + "step": 22465 + }, + { + "epoch": 0.66, + "learning_rate": 2.7370024287170233e-06, + "loss": 0.7787, + "step": 22466 + }, + { + "epoch": 0.66, + "learning_rate": 2.7365781898351408e-06, + "loss": 0.635, + "step": 22467 + }, + { + "epoch": 0.66, + "learning_rate": 2.7361539714467656e-06, + "loss": 0.6249, + "step": 22468 + }, + { + "epoch": 0.66, + "learning_rate": 2.735729773555742e-06, + "loss": 0.8466, + "step": 22469 + }, + { + "epoch": 0.66, + "learning_rate": 2.735305596165908e-06, + "loss": 0.5801, + "step": 22470 + }, + { + "epoch": 0.66, + "learning_rate": 2.7348814392811052e-06, + "loss": 0.773, + "step": 22471 + }, + { + "epoch": 0.66, + "learning_rate": 2.7344573029051756e-06, + "loss": 1.0111, + "step": 22472 + }, + { + "epoch": 0.66, + "learning_rate": 2.7340331870419567e-06, + "loss": 0.7651, + "step": 22473 + }, + { + "epoch": 0.66, + "learning_rate": 2.7336090916952925e-06, + "loss": 0.85, + "step": 22474 + }, + { + "epoch": 0.66, + "learning_rate": 2.733185016869018e-06, + "loss": 0.657, + "step": 22475 + }, + { + "epoch": 0.66, + "learning_rate": 2.732760962566976e-06, + "loss": 0.7022, + "step": 22476 + }, + { + "epoch": 0.66, + "learning_rate": 2.7323369287930047e-06, + "loss": 0.8209, + "step": 22477 + }, + { + "epoch": 0.66, + "learning_rate": 2.731912915550945e-06, + "loss": 0.595, + "step": 22478 + }, + { + "epoch": 0.66, + "learning_rate": 2.7314889228446327e-06, + "loss": 0.7007, + "step": 22479 + }, + { + "epoch": 0.66, + "learning_rate": 2.731064950677909e-06, + "loss": 0.5565, + "step": 22480 + }, + { + "epoch": 0.66, + "learning_rate": 2.730640999054613e-06, + "loss": 0.6244, + "step": 22481 + }, + { + "epoch": 0.66, + "learning_rate": 2.7302170679785843e-06, + "loss": 0.7115, + "step": 22482 + }, + { + "epoch": 0.66, + "learning_rate": 2.7297931574536575e-06, + "loss": 0.6757, + "step": 22483 + }, + { + "epoch": 0.66, + "learning_rate": 2.729369267483676e-06, + "loss": 0.6783, + "step": 22484 + }, + { + "epoch": 0.66, + "learning_rate": 2.7289453980724713e-06, + "loss": 0.6747, + "step": 22485 + }, + { + "epoch": 0.66, + "learning_rate": 2.7285215492238877e-06, + "loss": 0.7762, + "step": 22486 + }, + { + "epoch": 0.66, + "learning_rate": 2.7280977209417575e-06, + "loss": 0.857, + "step": 22487 + }, + { + "epoch": 0.66, + "learning_rate": 2.7276739132299223e-06, + "loss": 0.8022, + "step": 22488 + }, + { + "epoch": 0.66, + "learning_rate": 2.727250126092216e-06, + "loss": 0.5654, + "step": 22489 + }, + { + "epoch": 0.66, + "learning_rate": 2.726826359532476e-06, + "loss": 0.5454, + "step": 22490 + }, + { + "epoch": 0.66, + "learning_rate": 2.726402613554544e-06, + "loss": 0.6271, + "step": 22491 + }, + { + "epoch": 0.66, + "learning_rate": 2.7259788881622495e-06, + "loss": 0.6146, + "step": 22492 + }, + { + "epoch": 0.66, + "learning_rate": 2.725555183359435e-06, + "loss": 0.6014, + "step": 22493 + }, + { + "epoch": 0.66, + "learning_rate": 2.725131499149933e-06, + "loss": 0.7535, + "step": 22494 + }, + { + "epoch": 0.66, + "learning_rate": 2.7247078355375823e-06, + "loss": 0.5381, + "step": 22495 + }, + { + "epoch": 0.66, + "learning_rate": 2.724284192526215e-06, + "loss": 0.6483, + "step": 22496 + }, + { + "epoch": 0.66, + "learning_rate": 2.723860570119672e-06, + "loss": 0.7477, + "step": 22497 + }, + { + "epoch": 0.66, + "learning_rate": 2.7234369683217843e-06, + "loss": 0.7373, + "step": 22498 + }, + { + "epoch": 0.66, + "learning_rate": 2.7230133871363905e-06, + "loss": 0.9039, + "step": 22499 + }, + { + "epoch": 0.66, + "learning_rate": 2.722589826567321e-06, + "loss": 0.6938, + "step": 22500 + }, + { + "epoch": 0.66, + "learning_rate": 2.7221662866184186e-06, + "loss": 1.1808, + "step": 22501 + }, + { + "epoch": 0.66, + "learning_rate": 2.7217427672935117e-06, + "loss": 0.7352, + "step": 22502 + }, + { + "epoch": 0.66, + "learning_rate": 2.7213192685964384e-06, + "loss": 0.8031, + "step": 22503 + }, + { + "epoch": 0.66, + "learning_rate": 2.7208957905310306e-06, + "loss": 0.583, + "step": 22504 + }, + { + "epoch": 0.66, + "learning_rate": 2.720472333101125e-06, + "loss": 0.5758, + "step": 22505 + }, + { + "epoch": 0.66, + "learning_rate": 2.7200488963105533e-06, + "loss": 0.8271, + "step": 22506 + }, + { + "epoch": 0.66, + "learning_rate": 2.7196254801631515e-06, + "loss": 0.7662, + "step": 22507 + }, + { + "epoch": 0.66, + "learning_rate": 2.719202084662751e-06, + "loss": 0.802, + "step": 22508 + }, + { + "epoch": 0.66, + "learning_rate": 2.7187787098131866e-06, + "loss": 0.6083, + "step": 22509 + }, + { + "epoch": 0.66, + "learning_rate": 2.7183553556182934e-06, + "loss": 0.5473, + "step": 22510 + }, + { + "epoch": 0.66, + "learning_rate": 2.717932022081901e-06, + "loss": 0.9273, + "step": 22511 + }, + { + "epoch": 0.66, + "learning_rate": 2.717508709207846e-06, + "loss": 0.9801, + "step": 22512 + }, + { + "epoch": 0.66, + "learning_rate": 2.7170854169999574e-06, + "loss": 0.4588, + "step": 22513 + }, + { + "epoch": 0.66, + "learning_rate": 2.716662145462072e-06, + "loss": 0.5989, + "step": 22514 + }, + { + "epoch": 0.66, + "learning_rate": 2.7162388945980177e-06, + "loss": 0.6083, + "step": 22515 + }, + { + "epoch": 0.66, + "learning_rate": 2.715815664411631e-06, + "loss": 0.7664, + "step": 22516 + }, + { + "epoch": 0.66, + "learning_rate": 2.7153924549067397e-06, + "loss": 0.7134, + "step": 22517 + }, + { + "epoch": 0.66, + "learning_rate": 2.7149692660871795e-06, + "loss": 0.8709, + "step": 22518 + }, + { + "epoch": 0.66, + "learning_rate": 2.714546097956777e-06, + "loss": 0.6911, + "step": 22519 + }, + { + "epoch": 0.66, + "learning_rate": 2.71412295051937e-06, + "loss": 0.7688, + "step": 22520 + }, + { + "epoch": 0.66, + "learning_rate": 2.713699823778785e-06, + "loss": 0.9463, + "step": 22521 + }, + { + "epoch": 0.66, + "learning_rate": 2.7132767177388576e-06, + "loss": 0.5791, + "step": 22522 + }, + { + "epoch": 0.66, + "learning_rate": 2.712853632403413e-06, + "loss": 0.7989, + "step": 22523 + }, + { + "epoch": 0.66, + "learning_rate": 2.7124305677762867e-06, + "loss": 0.9009, + "step": 22524 + }, + { + "epoch": 0.66, + "learning_rate": 2.7120075238613058e-06, + "loss": 0.8279, + "step": 22525 + }, + { + "epoch": 0.66, + "learning_rate": 2.711584500662304e-06, + "loss": 0.6726, + "step": 22526 + }, + { + "epoch": 0.66, + "learning_rate": 2.711161498183108e-06, + "loss": 0.6518, + "step": 22527 + }, + { + "epoch": 0.66, + "learning_rate": 2.7107385164275506e-06, + "loss": 0.9232, + "step": 22528 + }, + { + "epoch": 0.66, + "learning_rate": 2.7103155553994585e-06, + "loss": 0.6622, + "step": 22529 + }, + { + "epoch": 0.66, + "learning_rate": 2.709892615102664e-06, + "loss": 0.8672, + "step": 22530 + }, + { + "epoch": 0.66, + "learning_rate": 2.7094696955409965e-06, + "loss": 0.5066, + "step": 22531 + }, + { + "epoch": 0.66, + "learning_rate": 2.709046796718283e-06, + "loss": 0.558, + "step": 22532 + }, + { + "epoch": 0.66, + "learning_rate": 2.708623918638355e-06, + "loss": 0.7575, + "step": 22533 + }, + { + "epoch": 0.66, + "learning_rate": 2.7082010613050387e-06, + "loss": 0.7847, + "step": 22534 + }, + { + "epoch": 0.66, + "learning_rate": 2.7077782247221662e-06, + "loss": 0.6551, + "step": 22535 + }, + { + "epoch": 0.66, + "learning_rate": 2.7073554088935615e-06, + "loss": 0.5044, + "step": 22536 + }, + { + "epoch": 0.66, + "learning_rate": 2.706932613823058e-06, + "loss": 0.8691, + "step": 22537 + }, + { + "epoch": 0.66, + "learning_rate": 2.7065098395144786e-06, + "loss": 0.6141, + "step": 22538 + }, + { + "epoch": 0.66, + "learning_rate": 2.706087085971654e-06, + "loss": 0.9783, + "step": 22539 + }, + { + "epoch": 0.66, + "learning_rate": 2.7056643531984106e-06, + "loss": 0.6299, + "step": 22540 + }, + { + "epoch": 0.66, + "learning_rate": 2.70524164119858e-06, + "loss": 0.5863, + "step": 22541 + }, + { + "epoch": 0.66, + "learning_rate": 2.7048189499759835e-06, + "loss": 0.6528, + "step": 22542 + }, + { + "epoch": 0.66, + "learning_rate": 2.7043962795344537e-06, + "loss": 0.6985, + "step": 22543 + }, + { + "epoch": 0.66, + "learning_rate": 2.703973629877813e-06, + "loss": 0.6149, + "step": 22544 + }, + { + "epoch": 0.66, + "learning_rate": 2.703551001009892e-06, + "loss": 0.4141, + "step": 22545 + }, + { + "epoch": 0.66, + "learning_rate": 2.7031283929345137e-06, + "loss": 0.7036, + "step": 22546 + }, + { + "epoch": 0.66, + "learning_rate": 2.702705805655508e-06, + "loss": 0.5408, + "step": 22547 + }, + { + "epoch": 0.66, + "learning_rate": 2.7022832391766972e-06, + "loss": 0.5847, + "step": 22548 + }, + { + "epoch": 0.66, + "learning_rate": 2.7018606935019097e-06, + "loss": 0.9157, + "step": 22549 + }, + { + "epoch": 0.66, + "learning_rate": 2.701438168634973e-06, + "loss": 0.8678, + "step": 22550 + }, + { + "epoch": 0.66, + "learning_rate": 2.701015664579708e-06, + "loss": 0.5704, + "step": 22551 + }, + { + "epoch": 0.66, + "learning_rate": 2.7005931813399463e-06, + "loss": 0.521, + "step": 22552 + }, + { + "epoch": 0.66, + "learning_rate": 2.700170718919507e-06, + "loss": 0.7843, + "step": 22553 + }, + { + "epoch": 0.66, + "learning_rate": 2.6997482773222192e-06, + "loss": 0.6339, + "step": 22554 + }, + { + "epoch": 0.66, + "learning_rate": 2.6993258565519054e-06, + "loss": 0.4666, + "step": 22555 + }, + { + "epoch": 0.66, + "learning_rate": 2.6989034566123933e-06, + "loss": 0.6629, + "step": 22556 + }, + { + "epoch": 0.66, + "learning_rate": 2.698481077507504e-06, + "loss": 0.5144, + "step": 22557 + }, + { + "epoch": 0.66, + "learning_rate": 2.6980587192410646e-06, + "loss": 0.9364, + "step": 22558 + }, + { + "epoch": 0.66, + "learning_rate": 2.6976363818168938e-06, + "loss": 0.6541, + "step": 22559 + }, + { + "epoch": 0.66, + "learning_rate": 2.697214065238824e-06, + "loss": 0.6494, + "step": 22560 + }, + { + "epoch": 0.66, + "learning_rate": 2.6967917695106726e-06, + "loss": 0.6763, + "step": 22561 + }, + { + "epoch": 0.66, + "learning_rate": 2.6963694946362672e-06, + "loss": 0.7259, + "step": 22562 + }, + { + "epoch": 0.66, + "learning_rate": 2.695947240619427e-06, + "loss": 0.7993, + "step": 22563 + }, + { + "epoch": 0.66, + "learning_rate": 2.6955250074639793e-06, + "loss": 0.6804, + "step": 22564 + }, + { + "epoch": 0.66, + "learning_rate": 2.695102795173743e-06, + "loss": 0.6186, + "step": 22565 + }, + { + "epoch": 0.66, + "learning_rate": 2.6946806037525454e-06, + "loss": 0.685, + "step": 22566 + }, + { + "epoch": 0.66, + "learning_rate": 2.6942584332042045e-06, + "loss": 1.016, + "step": 22567 + }, + { + "epoch": 0.66, + "learning_rate": 2.693836283532547e-06, + "loss": 0.8468, + "step": 22568 + }, + { + "epoch": 0.66, + "learning_rate": 2.6934141547413904e-06, + "loss": 0.8537, + "step": 22569 + }, + { + "epoch": 0.66, + "learning_rate": 2.6929920468345604e-06, + "loss": 0.6216, + "step": 22570 + }, + { + "epoch": 0.66, + "learning_rate": 2.6925699598158793e-06, + "loss": 0.7189, + "step": 22571 + }, + { + "epoch": 0.66, + "learning_rate": 2.6921478936891655e-06, + "loss": 0.7449, + "step": 22572 + }, + { + "epoch": 0.66, + "learning_rate": 2.691725848458244e-06, + "loss": 0.6894, + "step": 22573 + }, + { + "epoch": 0.66, + "learning_rate": 2.6913038241269337e-06, + "loss": 0.7838, + "step": 22574 + }, + { + "epoch": 0.66, + "learning_rate": 2.690881820699057e-06, + "loss": 0.7254, + "step": 22575 + }, + { + "epoch": 0.66, + "learning_rate": 2.690459838178433e-06, + "loss": 0.7266, + "step": 22576 + }, + { + "epoch": 0.66, + "learning_rate": 2.690037876568885e-06, + "loss": 0.5484, + "step": 22577 + }, + { + "epoch": 0.66, + "learning_rate": 2.6896159358742286e-06, + "loss": 0.9153, + "step": 22578 + }, + { + "epoch": 0.66, + "learning_rate": 2.6891940160982917e-06, + "loss": 0.8263, + "step": 22579 + }, + { + "epoch": 0.66, + "learning_rate": 2.688772117244888e-06, + "loss": 0.7038, + "step": 22580 + }, + { + "epoch": 0.66, + "learning_rate": 2.6883502393178427e-06, + "loss": 0.695, + "step": 22581 + }, + { + "epoch": 0.66, + "learning_rate": 2.68792838232097e-06, + "loss": 0.6551, + "step": 22582 + }, + { + "epoch": 0.66, + "learning_rate": 2.687506546258095e-06, + "loss": 0.6644, + "step": 22583 + }, + { + "epoch": 0.66, + "learning_rate": 2.687084731133032e-06, + "loss": 0.539, + "step": 22584 + }, + { + "epoch": 0.66, + "learning_rate": 2.6866629369496043e-06, + "loss": 0.8414, + "step": 22585 + }, + { + "epoch": 0.66, + "learning_rate": 2.686241163711628e-06, + "loss": 0.6899, + "step": 22586 + }, + { + "epoch": 0.66, + "learning_rate": 2.685819411422924e-06, + "loss": 0.7622, + "step": 22587 + }, + { + "epoch": 0.66, + "learning_rate": 2.6853976800873073e-06, + "loss": 0.7945, + "step": 22588 + }, + { + "epoch": 0.66, + "learning_rate": 2.6849759697086024e-06, + "loss": 0.7757, + "step": 22589 + }, + { + "epoch": 0.66, + "learning_rate": 2.6845542802906245e-06, + "loss": 0.5408, + "step": 22590 + }, + { + "epoch": 0.66, + "learning_rate": 2.6841326118371892e-06, + "loss": 0.6146, + "step": 22591 + }, + { + "epoch": 0.66, + "learning_rate": 2.6837109643521186e-06, + "loss": 0.6118, + "step": 22592 + }, + { + "epoch": 0.66, + "learning_rate": 2.6832893378392267e-06, + "loss": 0.7053, + "step": 22593 + }, + { + "epoch": 0.66, + "learning_rate": 2.6828677323023345e-06, + "loss": 0.8021, + "step": 22594 + }, + { + "epoch": 0.66, + "learning_rate": 2.6824461477452557e-06, + "loss": 0.6909, + "step": 22595 + }, + { + "epoch": 0.66, + "learning_rate": 2.6820245841718106e-06, + "loss": 0.9262, + "step": 22596 + }, + { + "epoch": 0.66, + "learning_rate": 2.6816030415858137e-06, + "loss": 0.8343, + "step": 22597 + }, + { + "epoch": 0.66, + "learning_rate": 2.6811815199910817e-06, + "loss": 0.7311, + "step": 22598 + }, + { + "epoch": 0.66, + "learning_rate": 2.680760019391433e-06, + "loss": 0.7935, + "step": 22599 + }, + { + "epoch": 0.66, + "learning_rate": 2.6803385397906855e-06, + "loss": 0.9089, + "step": 22600 + }, + { + "epoch": 0.66, + "learning_rate": 2.67991708119265e-06, + "loss": 0.6524, + "step": 22601 + }, + { + "epoch": 0.66, + "learning_rate": 2.679495643601149e-06, + "loss": 0.6411, + "step": 22602 + }, + { + "epoch": 0.66, + "learning_rate": 2.679074227019991e-06, + "loss": 0.5994, + "step": 22603 + }, + { + "epoch": 0.66, + "learning_rate": 2.6786528314529987e-06, + "loss": 0.6477, + "step": 22604 + }, + { + "epoch": 0.66, + "learning_rate": 2.6782314569039813e-06, + "loss": 0.921, + "step": 22605 + }, + { + "epoch": 0.66, + "learning_rate": 2.67781010337676e-06, + "loss": 0.7328, + "step": 22606 + }, + { + "epoch": 0.66, + "learning_rate": 2.6773887708751444e-06, + "loss": 0.5365, + "step": 22607 + }, + { + "epoch": 0.66, + "learning_rate": 2.6769674594029515e-06, + "loss": 0.5216, + "step": 22608 + }, + { + "epoch": 0.66, + "learning_rate": 2.676546168963996e-06, + "loss": 0.5947, + "step": 22609 + }, + { + "epoch": 0.66, + "learning_rate": 2.6761248995620948e-06, + "loss": 0.7202, + "step": 22610 + }, + { + "epoch": 0.66, + "learning_rate": 2.6757036512010575e-06, + "loss": 0.7318, + "step": 22611 + }, + { + "epoch": 0.66, + "learning_rate": 2.675282423884703e-06, + "loss": 0.5113, + "step": 22612 + }, + { + "epoch": 0.66, + "learning_rate": 2.6748612176168406e-06, + "loss": 0.7419, + "step": 22613 + }, + { + "epoch": 0.66, + "learning_rate": 2.6744400324012875e-06, + "loss": 0.9187, + "step": 22614 + }, + { + "epoch": 0.66, + "learning_rate": 2.6740188682418567e-06, + "loss": 0.5999, + "step": 22615 + }, + { + "epoch": 0.66, + "learning_rate": 2.6735977251423585e-06, + "loss": 0.7676, + "step": 22616 + }, + { + "epoch": 0.66, + "learning_rate": 2.6731766031066097e-06, + "loss": 0.9874, + "step": 22617 + }, + { + "epoch": 0.66, + "learning_rate": 2.6727555021384177e-06, + "loss": 0.6965, + "step": 22618 + }, + { + "epoch": 0.66, + "learning_rate": 2.672334422241604e-06, + "loss": 0.6266, + "step": 22619 + }, + { + "epoch": 0.66, + "learning_rate": 2.6719133634199734e-06, + "loss": 0.6722, + "step": 22620 + }, + { + "epoch": 0.66, + "learning_rate": 2.671492325677343e-06, + "loss": 0.5746, + "step": 22621 + }, + { + "epoch": 0.66, + "learning_rate": 2.6710713090175223e-06, + "loss": 0.8804, + "step": 22622 + }, + { + "epoch": 0.66, + "learning_rate": 2.6706503134443257e-06, + "loss": 0.9332, + "step": 22623 + }, + { + "epoch": 0.66, + "learning_rate": 2.6702293389615613e-06, + "loss": 0.8006, + "step": 22624 + }, + { + "epoch": 0.66, + "learning_rate": 2.669808385573045e-06, + "loss": 0.5434, + "step": 22625 + }, + { + "epoch": 0.66, + "learning_rate": 2.6693874532825837e-06, + "loss": 0.6075, + "step": 22626 + }, + { + "epoch": 0.66, + "learning_rate": 2.6689665420939937e-06, + "loss": 0.7602, + "step": 22627 + }, + { + "epoch": 0.66, + "learning_rate": 2.6685456520110787e-06, + "loss": 0.7783, + "step": 22628 + }, + { + "epoch": 0.66, + "learning_rate": 2.668124783037658e-06, + "loss": 0.5144, + "step": 22629 + }, + { + "epoch": 0.66, + "learning_rate": 2.6677039351775363e-06, + "loss": 0.592, + "step": 22630 + }, + { + "epoch": 0.66, + "learning_rate": 2.6672831084345287e-06, + "loss": 0.6333, + "step": 22631 + }, + { + "epoch": 0.66, + "learning_rate": 2.66686230281244e-06, + "loss": 0.6459, + "step": 22632 + }, + { + "epoch": 0.66, + "learning_rate": 2.666441518315086e-06, + "loss": 0.764, + "step": 22633 + }, + { + "epoch": 0.66, + "learning_rate": 2.6660207549462714e-06, + "loss": 0.7085, + "step": 22634 + }, + { + "epoch": 0.66, + "learning_rate": 2.6656000127098098e-06, + "loss": 0.7784, + "step": 22635 + }, + { + "epoch": 0.67, + "learning_rate": 2.665179291609507e-06, + "loss": 0.7963, + "step": 22636 + }, + { + "epoch": 0.67, + "learning_rate": 2.6647585916491768e-06, + "loss": 1.009, + "step": 22637 + }, + { + "epoch": 0.67, + "learning_rate": 2.6643379128326236e-06, + "loss": 1.0226, + "step": 22638 + }, + { + "epoch": 0.67, + "learning_rate": 2.6639172551636587e-06, + "loss": 0.4666, + "step": 22639 + }, + { + "epoch": 0.67, + "learning_rate": 2.6634966186460932e-06, + "loss": 0.8096, + "step": 22640 + }, + { + "epoch": 0.67, + "learning_rate": 2.66307600328373e-06, + "loss": 0.6917, + "step": 22641 + }, + { + "epoch": 0.67, + "learning_rate": 2.6626554090803837e-06, + "loss": 0.8608, + "step": 22642 + }, + { + "epoch": 0.67, + "learning_rate": 2.6622348360398566e-06, + "loss": 0.6176, + "step": 22643 + }, + { + "epoch": 0.67, + "learning_rate": 2.6618142841659615e-06, + "loss": 0.7885, + "step": 22644 + }, + { + "epoch": 0.67, + "learning_rate": 2.661393753462502e-06, + "loss": 0.6618, + "step": 22645 + }, + { + "epoch": 0.67, + "learning_rate": 2.66097324393329e-06, + "loss": 0.6904, + "step": 22646 + }, + { + "epoch": 0.67, + "learning_rate": 2.660552755582127e-06, + "loss": 0.6177, + "step": 22647 + }, + { + "epoch": 0.67, + "learning_rate": 2.6601322884128273e-06, + "loss": 0.8517, + "step": 22648 + }, + { + "epoch": 0.67, + "learning_rate": 2.6597118424291925e-06, + "loss": 0.7945, + "step": 22649 + }, + { + "epoch": 0.67, + "learning_rate": 2.659291417635033e-06, + "loss": 0.546, + "step": 22650 + }, + { + "epoch": 0.67, + "learning_rate": 2.658871014034152e-06, + "loss": 0.5742, + "step": 22651 + }, + { + "epoch": 0.67, + "learning_rate": 2.6584506316303604e-06, + "loss": 0.7335, + "step": 22652 + }, + { + "epoch": 0.67, + "learning_rate": 2.6580302704274587e-06, + "loss": 0.8238, + "step": 22653 + }, + { + "epoch": 0.67, + "learning_rate": 2.657609930429258e-06, + "loss": 0.4421, + "step": 22654 + }, + { + "epoch": 0.67, + "learning_rate": 2.65718961163956e-06, + "loss": 0.8297, + "step": 22655 + }, + { + "epoch": 0.67, + "learning_rate": 2.656769314062175e-06, + "loss": 0.8569, + "step": 22656 + }, + { + "epoch": 0.67, + "learning_rate": 2.656349037700904e-06, + "loss": 0.8071, + "step": 22657 + }, + { + "epoch": 0.67, + "learning_rate": 2.6559287825595536e-06, + "loss": 0.7845, + "step": 22658 + }, + { + "epoch": 0.67, + "learning_rate": 2.655508548641932e-06, + "loss": 0.9043, + "step": 22659 + }, + { + "epoch": 0.67, + "learning_rate": 2.6550883359518392e-06, + "loss": 0.7722, + "step": 22660 + }, + { + "epoch": 0.67, + "learning_rate": 2.6546681444930844e-06, + "loss": 0.9059, + "step": 22661 + }, + { + "epoch": 0.67, + "learning_rate": 2.6542479742694684e-06, + "loss": 0.5886, + "step": 22662 + }, + { + "epoch": 0.67, + "learning_rate": 2.6538278252847982e-06, + "loss": 0.9173, + "step": 22663 + }, + { + "epoch": 0.67, + "learning_rate": 2.6534076975428746e-06, + "loss": 0.8588, + "step": 22664 + }, + { + "epoch": 0.67, + "learning_rate": 2.6529875910475065e-06, + "loss": 0.6683, + "step": 22665 + }, + { + "epoch": 0.67, + "learning_rate": 2.6525675058024926e-06, + "loss": 0.8927, + "step": 22666 + }, + { + "epoch": 0.67, + "learning_rate": 2.652147441811639e-06, + "loss": 0.7054, + "step": 22667 + }, + { + "epoch": 0.67, + "learning_rate": 2.6517273990787486e-06, + "loss": 0.654, + "step": 22668 + }, + { + "epoch": 0.67, + "learning_rate": 2.6513073776076258e-06, + "loss": 0.7002, + "step": 22669 + }, + { + "epoch": 0.67, + "learning_rate": 2.6508873774020715e-06, + "loss": 0.8624, + "step": 22670 + }, + { + "epoch": 0.67, + "learning_rate": 2.6504673984658905e-06, + "loss": 0.8906, + "step": 22671 + }, + { + "epoch": 0.67, + "learning_rate": 2.6500474408028832e-06, + "loss": 0.6436, + "step": 22672 + }, + { + "epoch": 0.67, + "learning_rate": 2.6496275044168552e-06, + "loss": 0.8384, + "step": 22673 + }, + { + "epoch": 0.67, + "learning_rate": 2.649207589311604e-06, + "loss": 0.7884, + "step": 22674 + }, + { + "epoch": 0.67, + "learning_rate": 2.6487876954909364e-06, + "loss": 0.6941, + "step": 22675 + }, + { + "epoch": 0.67, + "learning_rate": 2.6483678229586497e-06, + "loss": 0.5501, + "step": 22676 + }, + { + "epoch": 0.67, + "learning_rate": 2.647947971718548e-06, + "loss": 0.9199, + "step": 22677 + }, + { + "epoch": 0.67, + "learning_rate": 2.6475281417744346e-06, + "loss": 0.8291, + "step": 22678 + }, + { + "epoch": 0.67, + "learning_rate": 2.647108333130107e-06, + "loss": 0.7061, + "step": 22679 + }, + { + "epoch": 0.67, + "learning_rate": 2.6466885457893698e-06, + "loss": 0.7928, + "step": 22680 + }, + { + "epoch": 0.67, + "learning_rate": 2.646268779756019e-06, + "loss": 0.5865, + "step": 22681 + }, + { + "epoch": 0.67, + "learning_rate": 2.6458490350338617e-06, + "loss": 0.8367, + "step": 22682 + }, + { + "epoch": 0.67, + "learning_rate": 2.6454293116266915e-06, + "loss": 0.7283, + "step": 22683 + }, + { + "epoch": 0.67, + "learning_rate": 2.645009609538315e-06, + "loss": 0.8865, + "step": 22684 + }, + { + "epoch": 0.67, + "learning_rate": 2.6445899287725274e-06, + "loss": 0.7165, + "step": 22685 + }, + { + "epoch": 0.67, + "learning_rate": 2.6441702693331318e-06, + "loss": 0.5324, + "step": 22686 + }, + { + "epoch": 0.67, + "learning_rate": 2.6437506312239226e-06, + "loss": 0.9051, + "step": 22687 + }, + { + "epoch": 0.67, + "learning_rate": 2.643331014448708e-06, + "loss": 0.7411, + "step": 22688 + }, + { + "epoch": 0.67, + "learning_rate": 2.6429114190112797e-06, + "loss": 0.764, + "step": 22689 + }, + { + "epoch": 0.67, + "learning_rate": 2.6424918449154425e-06, + "loss": 0.4024, + "step": 22690 + }, + { + "epoch": 0.67, + "learning_rate": 2.64207229216499e-06, + "loss": 0.7362, + "step": 22691 + }, + { + "epoch": 0.67, + "learning_rate": 2.6416527607637254e-06, + "loss": 0.7735, + "step": 22692 + }, + { + "epoch": 0.67, + "learning_rate": 2.641233250715443e-06, + "loss": 0.5624, + "step": 22693 + }, + { + "epoch": 0.67, + "learning_rate": 2.640813762023946e-06, + "loss": 0.5575, + "step": 22694 + }, + { + "epoch": 0.67, + "learning_rate": 2.640394294693027e-06, + "loss": 0.6477, + "step": 22695 + }, + { + "epoch": 0.67, + "learning_rate": 2.63997484872649e-06, + "loss": 0.6171, + "step": 22696 + }, + { + "epoch": 0.67, + "learning_rate": 2.6395554241281275e-06, + "loss": 0.6006, + "step": 22697 + }, + { + "epoch": 0.67, + "learning_rate": 2.6391360209017382e-06, + "loss": 0.7519, + "step": 22698 + }, + { + "epoch": 0.67, + "learning_rate": 2.6387166390511232e-06, + "loss": 0.8601, + "step": 22699 + }, + { + "epoch": 0.67, + "learning_rate": 2.6382972785800747e-06, + "loss": 0.7816, + "step": 22700 + }, + { + "epoch": 0.67, + "learning_rate": 2.6378779394923937e-06, + "loss": 0.7429, + "step": 22701 + }, + { + "epoch": 0.67, + "learning_rate": 2.637458621791874e-06, + "loss": 0.9409, + "step": 22702 + }, + { + "epoch": 0.67, + "learning_rate": 2.6370393254823147e-06, + "loss": 0.96, + "step": 22703 + }, + { + "epoch": 0.67, + "learning_rate": 2.6366200505675087e-06, + "loss": 0.6349, + "step": 22704 + }, + { + "epoch": 0.67, + "learning_rate": 2.636200797051257e-06, + "loss": 0.6107, + "step": 22705 + }, + { + "epoch": 0.67, + "learning_rate": 2.6357815649373485e-06, + "loss": 0.4852, + "step": 22706 + }, + { + "epoch": 0.67, + "learning_rate": 2.635362354229588e-06, + "loss": 0.6748, + "step": 22707 + }, + { + "epoch": 0.67, + "learning_rate": 2.634943164931764e-06, + "loss": 0.841, + "step": 22708 + }, + { + "epoch": 0.67, + "learning_rate": 2.6345239970476766e-06, + "loss": 0.6693, + "step": 22709 + }, + { + "epoch": 0.67, + "learning_rate": 2.6341048505811175e-06, + "loss": 0.5978, + "step": 22710 + }, + { + "epoch": 0.67, + "learning_rate": 2.633685725535885e-06, + "loss": 0.7627, + "step": 22711 + }, + { + "epoch": 0.67, + "learning_rate": 2.6332666219157703e-06, + "loss": 0.4769, + "step": 22712 + }, + { + "epoch": 0.67, + "learning_rate": 2.632847539724572e-06, + "loss": 0.5251, + "step": 22713 + }, + { + "epoch": 0.67, + "learning_rate": 2.63242847896608e-06, + "loss": 0.6516, + "step": 22714 + }, + { + "epoch": 0.67, + "learning_rate": 2.6320094396440936e-06, + "loss": 0.7528, + "step": 22715 + }, + { + "epoch": 0.67, + "learning_rate": 2.6315904217624023e-06, + "loss": 0.687, + "step": 22716 + }, + { + "epoch": 0.67, + "learning_rate": 2.6311714253248023e-06, + "loss": 0.8048, + "step": 22717 + }, + { + "epoch": 0.67, + "learning_rate": 2.6307524503350883e-06, + "loss": 1.0097, + "step": 22718 + }, + { + "epoch": 0.67, + "learning_rate": 2.6303334967970512e-06, + "loss": 0.9908, + "step": 22719 + }, + { + "epoch": 0.67, + "learning_rate": 2.6299145647144874e-06, + "loss": 0.7612, + "step": 22720 + }, + { + "epoch": 0.67, + "learning_rate": 2.6294956540911857e-06, + "loss": 0.8419, + "step": 22721 + }, + { + "epoch": 0.67, + "learning_rate": 2.6290767649309438e-06, + "loss": 0.8835, + "step": 22722 + }, + { + "epoch": 0.67, + "learning_rate": 2.6286578972375504e-06, + "loss": 0.7989, + "step": 22723 + }, + { + "epoch": 0.67, + "learning_rate": 2.6282390510148015e-06, + "loss": 0.5272, + "step": 22724 + }, + { + "epoch": 0.67, + "learning_rate": 2.6278202262664854e-06, + "loss": 0.5312, + "step": 22725 + }, + { + "epoch": 0.67, + "learning_rate": 2.6274014229963974e-06, + "loss": 0.7148, + "step": 22726 + }, + { + "epoch": 0.67, + "learning_rate": 2.6269826412083278e-06, + "loss": 1.0068, + "step": 22727 + }, + { + "epoch": 0.67, + "learning_rate": 2.6265638809060714e-06, + "loss": 0.7867, + "step": 22728 + }, + { + "epoch": 0.67, + "learning_rate": 2.626145142093415e-06, + "loss": 0.5178, + "step": 22729 + }, + { + "epoch": 0.67, + "learning_rate": 2.6257264247741545e-06, + "loss": 0.9877, + "step": 22730 + }, + { + "epoch": 0.67, + "learning_rate": 2.6253077289520766e-06, + "loss": 0.681, + "step": 22731 + }, + { + "epoch": 0.67, + "learning_rate": 2.624889054630977e-06, + "loss": 0.6877, + "step": 22732 + }, + { + "epoch": 0.67, + "learning_rate": 2.624470401814642e-06, + "loss": 0.7026, + "step": 22733 + }, + { + "epoch": 0.67, + "learning_rate": 2.6240517705068664e-06, + "loss": 0.8866, + "step": 22734 + }, + { + "epoch": 0.67, + "learning_rate": 2.6236331607114363e-06, + "loss": 0.7891, + "step": 22735 + }, + { + "epoch": 0.67, + "learning_rate": 2.623214572432144e-06, + "loss": 0.9104, + "step": 22736 + }, + { + "epoch": 0.67, + "learning_rate": 2.622796005672781e-06, + "loss": 0.7609, + "step": 22737 + }, + { + "epoch": 0.67, + "learning_rate": 2.6223774604371343e-06, + "loss": 0.9154, + "step": 22738 + }, + { + "epoch": 0.67, + "learning_rate": 2.6219589367289965e-06, + "loss": 0.9983, + "step": 22739 + }, + { + "epoch": 0.67, + "learning_rate": 2.6215404345521534e-06, + "loss": 0.7208, + "step": 22740 + }, + { + "epoch": 0.67, + "learning_rate": 2.621121953910397e-06, + "loss": 0.6762, + "step": 22741 + }, + { + "epoch": 0.67, + "learning_rate": 2.620703494807515e-06, + "loss": 0.6789, + "step": 22742 + }, + { + "epoch": 0.67, + "learning_rate": 2.6202850572472977e-06, + "loss": 0.7597, + "step": 22743 + }, + { + "epoch": 0.67, + "learning_rate": 2.6198666412335305e-06, + "loss": 0.7056, + "step": 22744 + }, + { + "epoch": 0.67, + "learning_rate": 2.6194482467700065e-06, + "loss": 0.84, + "step": 22745 + }, + { + "epoch": 0.67, + "learning_rate": 2.619029873860507e-06, + "loss": 0.7677, + "step": 22746 + }, + { + "epoch": 0.67, + "learning_rate": 2.6186115225088287e-06, + "loss": 0.5902, + "step": 22747 + }, + { + "epoch": 0.67, + "learning_rate": 2.6181931927187533e-06, + "loss": 0.6331, + "step": 22748 + }, + { + "epoch": 0.67, + "learning_rate": 2.617774884494072e-06, + "loss": 0.6247, + "step": 22749 + }, + { + "epoch": 0.67, + "learning_rate": 2.6173565978385683e-06, + "loss": 1.1294, + "step": 22750 + }, + { + "epoch": 0.67, + "learning_rate": 2.616938332756035e-06, + "loss": 0.7215, + "step": 22751 + }, + { + "epoch": 0.67, + "learning_rate": 2.616520089250253e-06, + "loss": 0.804, + "step": 22752 + }, + { + "epoch": 0.67, + "learning_rate": 2.6161018673250137e-06, + "loss": 0.8533, + "step": 22753 + }, + { + "epoch": 0.67, + "learning_rate": 2.6156836669841007e-06, + "loss": 0.4813, + "step": 22754 + }, + { + "epoch": 0.67, + "learning_rate": 2.6152654882313035e-06, + "loss": 0.9156, + "step": 22755 + }, + { + "epoch": 0.67, + "learning_rate": 2.614847331070405e-06, + "loss": 0.4265, + "step": 22756 + }, + { + "epoch": 0.67, + "learning_rate": 2.6144291955051938e-06, + "loss": 0.625, + "step": 22757 + }, + { + "epoch": 0.67, + "learning_rate": 2.614011081539456e-06, + "loss": 0.5475, + "step": 22758 + }, + { + "epoch": 0.67, + "learning_rate": 2.613592989176975e-06, + "loss": 0.523, + "step": 22759 + }, + { + "epoch": 0.67, + "learning_rate": 2.613174918421539e-06, + "loss": 0.7848, + "step": 22760 + }, + { + "epoch": 0.67, + "learning_rate": 2.6127568692769306e-06, + "loss": 0.7301, + "step": 22761 + }, + { + "epoch": 0.67, + "learning_rate": 2.612338841746938e-06, + "loss": 0.879, + "step": 22762 + }, + { + "epoch": 0.67, + "learning_rate": 2.6119208358353424e-06, + "loss": 0.6664, + "step": 22763 + }, + { + "epoch": 0.67, + "learning_rate": 2.611502851545933e-06, + "loss": 0.6269, + "step": 22764 + }, + { + "epoch": 0.67, + "learning_rate": 2.611084888882489e-06, + "loss": 0.5445, + "step": 22765 + }, + { + "epoch": 0.67, + "learning_rate": 2.6106669478487976e-06, + "loss": 0.5614, + "step": 22766 + }, + { + "epoch": 0.67, + "learning_rate": 2.6102490284486437e-06, + "loss": 0.8293, + "step": 22767 + }, + { + "epoch": 0.67, + "learning_rate": 2.609831130685812e-06, + "loss": 0.5273, + "step": 22768 + }, + { + "epoch": 0.67, + "learning_rate": 2.609413254564083e-06, + "loss": 0.5076, + "step": 22769 + }, + { + "epoch": 0.67, + "learning_rate": 2.608995400087243e-06, + "loss": 0.8292, + "step": 22770 + }, + { + "epoch": 0.67, + "learning_rate": 2.608577567259073e-06, + "loss": 0.792, + "step": 22771 + }, + { + "epoch": 0.67, + "learning_rate": 2.6081597560833586e-06, + "loss": 0.7827, + "step": 22772 + }, + { + "epoch": 0.67, + "learning_rate": 2.6077419665638804e-06, + "loss": 0.6485, + "step": 22773 + }, + { + "epoch": 0.67, + "learning_rate": 2.6073241987044234e-06, + "loss": 0.3413, + "step": 22774 + }, + { + "epoch": 0.67, + "learning_rate": 2.6069064525087675e-06, + "loss": 0.786, + "step": 22775 + }, + { + "epoch": 0.67, + "learning_rate": 2.606488727980697e-06, + "loss": 0.6589, + "step": 22776 + }, + { + "epoch": 0.67, + "learning_rate": 2.606071025123995e-06, + "loss": 0.6069, + "step": 22777 + }, + { + "epoch": 0.67, + "learning_rate": 2.6056533439424403e-06, + "loss": 0.8493, + "step": 22778 + }, + { + "epoch": 0.67, + "learning_rate": 2.6052356844398184e-06, + "loss": 0.8259, + "step": 22779 + }, + { + "epoch": 0.67, + "learning_rate": 2.604818046619908e-06, + "loss": 0.8732, + "step": 22780 + }, + { + "epoch": 0.67, + "learning_rate": 2.604400430486492e-06, + "loss": 0.5923, + "step": 22781 + }, + { + "epoch": 0.67, + "learning_rate": 2.6039828360433507e-06, + "loss": 0.6207, + "step": 22782 + }, + { + "epoch": 0.67, + "learning_rate": 2.6035652632942667e-06, + "loss": 0.6923, + "step": 22783 + }, + { + "epoch": 0.67, + "learning_rate": 2.603147712243017e-06, + "loss": 0.9369, + "step": 22784 + }, + { + "epoch": 0.67, + "learning_rate": 2.602730182893385e-06, + "loss": 0.5067, + "step": 22785 + }, + { + "epoch": 0.67, + "learning_rate": 2.6023126752491513e-06, + "loss": 0.8233, + "step": 22786 + }, + { + "epoch": 0.67, + "learning_rate": 2.6018951893140974e-06, + "loss": 0.8525, + "step": 22787 + }, + { + "epoch": 0.67, + "learning_rate": 2.6014777250919996e-06, + "loss": 0.7697, + "step": 22788 + }, + { + "epoch": 0.67, + "learning_rate": 2.6010602825866416e-06, + "loss": 0.5682, + "step": 22789 + }, + { + "epoch": 0.67, + "learning_rate": 2.6006428618017985e-06, + "loss": 0.8182, + "step": 22790 + }, + { + "epoch": 0.67, + "learning_rate": 2.6002254627412554e-06, + "loss": 0.6614, + "step": 22791 + }, + { + "epoch": 0.67, + "learning_rate": 2.599808085408786e-06, + "loss": 0.573, + "step": 22792 + }, + { + "epoch": 0.67, + "learning_rate": 2.5993907298081734e-06, + "loss": 0.6884, + "step": 22793 + }, + { + "epoch": 0.67, + "learning_rate": 2.5989733959431934e-06, + "loss": 0.5424, + "step": 22794 + }, + { + "epoch": 0.67, + "learning_rate": 2.598556083817626e-06, + "loss": 0.7432, + "step": 22795 + }, + { + "epoch": 0.67, + "learning_rate": 2.598138793435251e-06, + "loss": 0.7717, + "step": 22796 + }, + { + "epoch": 0.67, + "learning_rate": 2.5977215247998438e-06, + "loss": 0.7744, + "step": 22797 + }, + { + "epoch": 0.67, + "learning_rate": 2.597304277915186e-06, + "loss": 0.8627, + "step": 22798 + }, + { + "epoch": 0.67, + "learning_rate": 2.596887052785051e-06, + "loss": 0.7605, + "step": 22799 + }, + { + "epoch": 0.67, + "learning_rate": 2.596469849413221e-06, + "loss": 0.4251, + "step": 22800 + }, + { + "epoch": 0.67, + "learning_rate": 2.596052667803469e-06, + "loss": 0.7526, + "step": 22801 + }, + { + "epoch": 0.67, + "learning_rate": 2.595635507959577e-06, + "loss": 0.4832, + "step": 22802 + }, + { + "epoch": 0.67, + "learning_rate": 2.5952183698853173e-06, + "loss": 0.6213, + "step": 22803 + }, + { + "epoch": 0.67, + "learning_rate": 2.594801253584471e-06, + "loss": 0.7166, + "step": 22804 + }, + { + "epoch": 0.67, + "learning_rate": 2.594384159060809e-06, + "loss": 0.4926, + "step": 22805 + }, + { + "epoch": 0.67, + "learning_rate": 2.5939670863181154e-06, + "loss": 0.7375, + "step": 22806 + }, + { + "epoch": 0.67, + "learning_rate": 2.5935500353601607e-06, + "loss": 0.8654, + "step": 22807 + }, + { + "epoch": 0.67, + "learning_rate": 2.5931330061907246e-06, + "loss": 0.857, + "step": 22808 + }, + { + "epoch": 0.67, + "learning_rate": 2.5927159988135794e-06, + "loss": 0.7065, + "step": 22809 + }, + { + "epoch": 0.67, + "learning_rate": 2.5922990132325045e-06, + "loss": 0.6558, + "step": 22810 + }, + { + "epoch": 0.67, + "learning_rate": 2.591882049451272e-06, + "loss": 0.7122, + "step": 22811 + }, + { + "epoch": 0.67, + "learning_rate": 2.59146510747366e-06, + "loss": 0.5102, + "step": 22812 + }, + { + "epoch": 0.67, + "learning_rate": 2.591048187303441e-06, + "loss": 0.7443, + "step": 22813 + }, + { + "epoch": 0.67, + "learning_rate": 2.5906312889443924e-06, + "loss": 0.7004, + "step": 22814 + }, + { + "epoch": 0.67, + "learning_rate": 2.5902144124002857e-06, + "loss": 0.7459, + "step": 22815 + }, + { + "epoch": 0.67, + "learning_rate": 2.5897975576748977e-06, + "loss": 0.3618, + "step": 22816 + }, + { + "epoch": 0.67, + "learning_rate": 2.589380724772005e-06, + "loss": 0.8051, + "step": 22817 + }, + { + "epoch": 0.67, + "learning_rate": 2.588963913695376e-06, + "loss": 0.6514, + "step": 22818 + }, + { + "epoch": 0.67, + "learning_rate": 2.5885471244487904e-06, + "loss": 0.8038, + "step": 22819 + }, + { + "epoch": 0.67, + "learning_rate": 2.588130357036017e-06, + "loss": 0.7595, + "step": 22820 + }, + { + "epoch": 0.67, + "learning_rate": 2.5877136114608327e-06, + "loss": 0.6863, + "step": 22821 + }, + { + "epoch": 0.67, + "learning_rate": 2.5872968877270076e-06, + "loss": 0.5644, + "step": 22822 + }, + { + "epoch": 0.67, + "learning_rate": 2.5868801858383197e-06, + "loss": 0.7593, + "step": 22823 + }, + { + "epoch": 0.67, + "learning_rate": 2.5864635057985367e-06, + "loss": 0.6181, + "step": 22824 + }, + { + "epoch": 0.67, + "learning_rate": 2.586046847611433e-06, + "loss": 0.7383, + "step": 22825 + }, + { + "epoch": 0.67, + "learning_rate": 2.585630211280782e-06, + "loss": 0.6714, + "step": 22826 + }, + { + "epoch": 0.67, + "learning_rate": 2.5852135968103577e-06, + "loss": 0.5501, + "step": 22827 + }, + { + "epoch": 0.67, + "learning_rate": 2.5847970042039274e-06, + "loss": 0.746, + "step": 22828 + }, + { + "epoch": 0.67, + "learning_rate": 2.584380433465269e-06, + "loss": 0.7335, + "step": 22829 + }, + { + "epoch": 0.67, + "learning_rate": 2.5839638845981484e-06, + "loss": 0.7148, + "step": 22830 + }, + { + "epoch": 0.67, + "learning_rate": 2.583547357606342e-06, + "loss": 0.8506, + "step": 22831 + }, + { + "epoch": 0.67, + "learning_rate": 2.5831308524936165e-06, + "loss": 0.7621, + "step": 22832 + }, + { + "epoch": 0.67, + "learning_rate": 2.582714369263748e-06, + "loss": 0.5381, + "step": 22833 + }, + { + "epoch": 0.67, + "learning_rate": 2.5822979079205024e-06, + "loss": 0.779, + "step": 22834 + }, + { + "epoch": 0.67, + "learning_rate": 2.581881468467653e-06, + "loss": 0.9167, + "step": 22835 + }, + { + "epoch": 0.67, + "learning_rate": 2.581465050908972e-06, + "loss": 0.7716, + "step": 22836 + }, + { + "epoch": 0.67, + "learning_rate": 2.5810486552482263e-06, + "loss": 0.5037, + "step": 22837 + }, + { + "epoch": 0.67, + "learning_rate": 2.5806322814891895e-06, + "loss": 0.5741, + "step": 22838 + }, + { + "epoch": 0.67, + "learning_rate": 2.580215929635628e-06, + "loss": 0.8132, + "step": 22839 + }, + { + "epoch": 0.67, + "learning_rate": 2.579799599691315e-06, + "loss": 0.9158, + "step": 22840 + }, + { + "epoch": 0.67, + "learning_rate": 2.579383291660016e-06, + "loss": 0.5387, + "step": 22841 + }, + { + "epoch": 0.67, + "learning_rate": 2.578967005545505e-06, + "loss": 0.8355, + "step": 22842 + }, + { + "epoch": 0.67, + "learning_rate": 2.578550741351547e-06, + "loss": 0.6308, + "step": 22843 + }, + { + "epoch": 0.67, + "learning_rate": 2.5781344990819126e-06, + "loss": 0.7476, + "step": 22844 + }, + { + "epoch": 0.67, + "learning_rate": 2.5777182787403702e-06, + "loss": 0.7636, + "step": 22845 + }, + { + "epoch": 0.67, + "learning_rate": 2.577302080330691e-06, + "loss": 0.6344, + "step": 22846 + }, + { + "epoch": 0.67, + "learning_rate": 2.5768859038566396e-06, + "loss": 0.6532, + "step": 22847 + }, + { + "epoch": 0.67, + "learning_rate": 2.5764697493219882e-06, + "loss": 0.6028, + "step": 22848 + }, + { + "epoch": 0.67, + "learning_rate": 2.5760536167304995e-06, + "loss": 0.5348, + "step": 22849 + }, + { + "epoch": 0.67, + "learning_rate": 2.5756375060859457e-06, + "loss": 0.7923, + "step": 22850 + }, + { + "epoch": 0.67, + "learning_rate": 2.5752214173920907e-06, + "loss": 0.5053, + "step": 22851 + }, + { + "epoch": 0.67, + "learning_rate": 2.574805350652707e-06, + "loss": 0.8477, + "step": 22852 + }, + { + "epoch": 0.67, + "learning_rate": 2.5743893058715557e-06, + "loss": 0.6993, + "step": 22853 + }, + { + "epoch": 0.67, + "learning_rate": 2.5739732830524068e-06, + "loss": 0.7466, + "step": 22854 + }, + { + "epoch": 0.67, + "learning_rate": 2.573557282199029e-06, + "loss": 0.7383, + "step": 22855 + }, + { + "epoch": 0.67, + "learning_rate": 2.5731413033151848e-06, + "loss": 0.6544, + "step": 22856 + }, + { + "epoch": 0.67, + "learning_rate": 2.5727253464046444e-06, + "loss": 0.8227, + "step": 22857 + }, + { + "epoch": 0.67, + "learning_rate": 2.57230941147117e-06, + "loss": 0.7505, + "step": 22858 + }, + { + "epoch": 0.67, + "learning_rate": 2.5718934985185318e-06, + "loss": 0.8967, + "step": 22859 + }, + { + "epoch": 0.67, + "learning_rate": 2.5714776075504923e-06, + "loss": 0.5734, + "step": 22860 + }, + { + "epoch": 0.67, + "learning_rate": 2.571061738570819e-06, + "loss": 0.7169, + "step": 22861 + }, + { + "epoch": 0.67, + "learning_rate": 2.570645891583275e-06, + "loss": 0.6164, + "step": 22862 + }, + { + "epoch": 0.67, + "learning_rate": 2.570230066591629e-06, + "loss": 0.9022, + "step": 22863 + }, + { + "epoch": 0.67, + "learning_rate": 2.5698142635996397e-06, + "loss": 0.8321, + "step": 22864 + }, + { + "epoch": 0.67, + "learning_rate": 2.56939848261108e-06, + "loss": 0.5922, + "step": 22865 + }, + { + "epoch": 0.67, + "learning_rate": 2.568982723629709e-06, + "loss": 0.8433, + "step": 22866 + }, + { + "epoch": 0.67, + "learning_rate": 2.568566986659294e-06, + "loss": 0.8734, + "step": 22867 + }, + { + "epoch": 0.67, + "learning_rate": 2.568151271703596e-06, + "loss": 0.5677, + "step": 22868 + }, + { + "epoch": 0.67, + "learning_rate": 2.5677355787663832e-06, + "loss": 0.8508, + "step": 22869 + }, + { + "epoch": 0.67, + "learning_rate": 2.5673199078514145e-06, + "loss": 0.7078, + "step": 22870 + }, + { + "epoch": 0.67, + "learning_rate": 2.566904258962458e-06, + "loss": 0.8277, + "step": 22871 + }, + { + "epoch": 0.67, + "learning_rate": 2.5664886321032734e-06, + "loss": 0.7016, + "step": 22872 + }, + { + "epoch": 0.67, + "learning_rate": 2.566073027277627e-06, + "loss": 0.6533, + "step": 22873 + }, + { + "epoch": 0.67, + "learning_rate": 2.565657444489279e-06, + "loss": 0.6721, + "step": 22874 + }, + { + "epoch": 0.67, + "learning_rate": 2.5652418837419924e-06, + "loss": 0.7373, + "step": 22875 + }, + { + "epoch": 0.67, + "learning_rate": 2.5648263450395333e-06, + "loss": 0.686, + "step": 22876 + }, + { + "epoch": 0.67, + "learning_rate": 2.5644108283856595e-06, + "loss": 0.7797, + "step": 22877 + }, + { + "epoch": 0.67, + "learning_rate": 2.563995333784137e-06, + "loss": 0.7721, + "step": 22878 + }, + { + "epoch": 0.67, + "learning_rate": 2.563579861238724e-06, + "loss": 0.4393, + "step": 22879 + }, + { + "epoch": 0.67, + "learning_rate": 2.5631644107531874e-06, + "loss": 0.5951, + "step": 22880 + }, + { + "epoch": 0.67, + "learning_rate": 2.5627489823312823e-06, + "loss": 0.9042, + "step": 22881 + }, + { + "epoch": 0.67, + "learning_rate": 2.5623335759767763e-06, + "loss": 0.7322, + "step": 22882 + }, + { + "epoch": 0.67, + "learning_rate": 2.5619181916934256e-06, + "loss": 0.8194, + "step": 22883 + }, + { + "epoch": 0.67, + "learning_rate": 2.5615028294849932e-06, + "loss": 0.5706, + "step": 22884 + }, + { + "epoch": 0.67, + "learning_rate": 2.5610874893552403e-06, + "loss": 0.7309, + "step": 22885 + }, + { + "epoch": 0.67, + "learning_rate": 2.5606721713079285e-06, + "loss": 0.295, + "step": 22886 + }, + { + "epoch": 0.67, + "learning_rate": 2.5602568753468153e-06, + "loss": 0.458, + "step": 22887 + }, + { + "epoch": 0.67, + "learning_rate": 2.5598416014756645e-06, + "loss": 0.7308, + "step": 22888 + }, + { + "epoch": 0.67, + "learning_rate": 2.559426349698232e-06, + "loss": 0.563, + "step": 22889 + }, + { + "epoch": 0.67, + "learning_rate": 2.559011120018281e-06, + "loss": 0.946, + "step": 22890 + }, + { + "epoch": 0.67, + "learning_rate": 2.5585959124395685e-06, + "loss": 0.5629, + "step": 22891 + }, + { + "epoch": 0.67, + "learning_rate": 2.5581807269658565e-06, + "loss": 0.7679, + "step": 22892 + }, + { + "epoch": 0.67, + "learning_rate": 2.5577655636009013e-06, + "loss": 0.743, + "step": 22893 + }, + { + "epoch": 0.67, + "learning_rate": 2.557350422348463e-06, + "loss": 0.8281, + "step": 22894 + }, + { + "epoch": 0.67, + "learning_rate": 2.5569353032123023e-06, + "loss": 0.7951, + "step": 22895 + }, + { + "epoch": 0.67, + "learning_rate": 2.5565202061961748e-06, + "loss": 0.7095, + "step": 22896 + }, + { + "epoch": 0.67, + "learning_rate": 2.556105131303842e-06, + "loss": 0.7169, + "step": 22897 + }, + { + "epoch": 0.67, + "learning_rate": 2.5556900785390583e-06, + "loss": 0.5706, + "step": 22898 + }, + { + "epoch": 0.67, + "learning_rate": 2.5552750479055855e-06, + "loss": 0.674, + "step": 22899 + }, + { + "epoch": 0.67, + "learning_rate": 2.5548600394071775e-06, + "loss": 0.6515, + "step": 22900 + }, + { + "epoch": 0.67, + "learning_rate": 2.554445053047597e-06, + "loss": 0.7443, + "step": 22901 + }, + { + "epoch": 0.67, + "learning_rate": 2.5540300888305958e-06, + "loss": 0.5675, + "step": 22902 + }, + { + "epoch": 0.67, + "learning_rate": 2.553615146759933e-06, + "loss": 0.7541, + "step": 22903 + }, + { + "epoch": 0.67, + "learning_rate": 2.553200226839366e-06, + "loss": 0.8366, + "step": 22904 + }, + { + "epoch": 0.67, + "learning_rate": 2.5527853290726546e-06, + "loss": 0.6586, + "step": 22905 + }, + { + "epoch": 0.67, + "learning_rate": 2.552370453463551e-06, + "loss": 0.8488, + "step": 22906 + }, + { + "epoch": 0.67, + "learning_rate": 2.5519556000158143e-06, + "loss": 0.8199, + "step": 22907 + }, + { + "epoch": 0.67, + "learning_rate": 2.5515407687331974e-06, + "loss": 0.6942, + "step": 22908 + }, + { + "epoch": 0.67, + "learning_rate": 2.5511259596194605e-06, + "loss": 0.9278, + "step": 22909 + }, + { + "epoch": 0.67, + "learning_rate": 2.550711172678355e-06, + "loss": 0.747, + "step": 22910 + }, + { + "epoch": 0.67, + "learning_rate": 2.5502964079136404e-06, + "loss": 0.4117, + "step": 22911 + }, + { + "epoch": 0.67, + "learning_rate": 2.549881665329069e-06, + "loss": 0.6037, + "step": 22912 + }, + { + "epoch": 0.67, + "learning_rate": 2.5494669449283975e-06, + "loss": 0.5928, + "step": 22913 + }, + { + "epoch": 0.67, + "learning_rate": 2.5490522467153804e-06, + "loss": 0.935, + "step": 22914 + }, + { + "epoch": 0.67, + "learning_rate": 2.5486375706937748e-06, + "loss": 0.9773, + "step": 22915 + }, + { + "epoch": 0.67, + "learning_rate": 2.5482229168673335e-06, + "loss": 0.6663, + "step": 22916 + }, + { + "epoch": 0.67, + "learning_rate": 2.547808285239808e-06, + "loss": 0.9334, + "step": 22917 + }, + { + "epoch": 0.67, + "learning_rate": 2.5473936758149575e-06, + "loss": 0.3039, + "step": 22918 + }, + { + "epoch": 0.67, + "learning_rate": 2.5469790885965305e-06, + "loss": 0.547, + "step": 22919 + }, + { + "epoch": 0.67, + "learning_rate": 2.5465645235882873e-06, + "loss": 0.6777, + "step": 22920 + }, + { + "epoch": 0.67, + "learning_rate": 2.546149980793975e-06, + "loss": 0.869, + "step": 22921 + }, + { + "epoch": 0.67, + "learning_rate": 2.5457354602173524e-06, + "loss": 0.6319, + "step": 22922 + }, + { + "epoch": 0.67, + "learning_rate": 2.545320961862166e-06, + "loss": 0.9391, + "step": 22923 + }, + { + "epoch": 0.67, + "learning_rate": 2.544906485732177e-06, + "loss": 0.5724, + "step": 22924 + }, + { + "epoch": 0.67, + "learning_rate": 2.5444920318311315e-06, + "loss": 0.8946, + "step": 22925 + }, + { + "epoch": 0.67, + "learning_rate": 2.5440776001627874e-06, + "loss": 0.7457, + "step": 22926 + }, + { + "epoch": 0.67, + "learning_rate": 2.5436631907308916e-06, + "loss": 0.9766, + "step": 22927 + }, + { + "epoch": 0.67, + "learning_rate": 2.543248803539201e-06, + "loss": 0.64, + "step": 22928 + }, + { + "epoch": 0.67, + "learning_rate": 2.5428344385914643e-06, + "loss": 0.9081, + "step": 22929 + }, + { + "epoch": 0.67, + "learning_rate": 2.542420095891436e-06, + "loss": 0.889, + "step": 22930 + }, + { + "epoch": 0.67, + "learning_rate": 2.542005775442864e-06, + "loss": 0.5267, + "step": 22931 + }, + { + "epoch": 0.67, + "learning_rate": 2.5415914772495036e-06, + "loss": 0.8157, + "step": 22932 + }, + { + "epoch": 0.67, + "learning_rate": 2.5411772013151e-06, + "loss": 0.6618, + "step": 22933 + }, + { + "epoch": 0.67, + "learning_rate": 2.5407629476434124e-06, + "loss": 0.8678, + "step": 22934 + }, + { + "epoch": 0.67, + "learning_rate": 2.540348716238186e-06, + "loss": 0.6396, + "step": 22935 + }, + { + "epoch": 0.67, + "learning_rate": 2.539934507103174e-06, + "loss": 0.4128, + "step": 22936 + }, + { + "epoch": 0.67, + "learning_rate": 2.5395203202421235e-06, + "loss": 0.6783, + "step": 22937 + }, + { + "epoch": 0.67, + "learning_rate": 2.5391061556587883e-06, + "loss": 0.6956, + "step": 22938 + }, + { + "epoch": 0.67, + "learning_rate": 2.5386920133569148e-06, + "loss": 0.6114, + "step": 22939 + }, + { + "epoch": 0.67, + "learning_rate": 2.5382778933402574e-06, + "loss": 0.7629, + "step": 22940 + }, + { + "epoch": 0.67, + "learning_rate": 2.537863795612562e-06, + "loss": 0.7805, + "step": 22941 + }, + { + "epoch": 0.67, + "learning_rate": 2.5374497201775766e-06, + "loss": 0.7311, + "step": 22942 + }, + { + "epoch": 0.67, + "learning_rate": 2.537035667039053e-06, + "loss": 0.5561, + "step": 22943 + }, + { + "epoch": 0.67, + "learning_rate": 2.536621636200739e-06, + "loss": 1.0405, + "step": 22944 + }, + { + "epoch": 0.67, + "learning_rate": 2.536207627666386e-06, + "loss": 0.5361, + "step": 22945 + }, + { + "epoch": 0.67, + "learning_rate": 2.5357936414397385e-06, + "loss": 0.689, + "step": 22946 + }, + { + "epoch": 0.67, + "learning_rate": 2.5353796775245486e-06, + "loss": 0.66, + "step": 22947 + }, + { + "epoch": 0.67, + "learning_rate": 2.5349657359245604e-06, + "loss": 0.6308, + "step": 22948 + }, + { + "epoch": 0.67, + "learning_rate": 2.534551816643527e-06, + "loss": 0.5189, + "step": 22949 + }, + { + "epoch": 0.67, + "learning_rate": 2.53413791968519e-06, + "loss": 0.8797, + "step": 22950 + }, + { + "epoch": 0.67, + "learning_rate": 2.533724045053302e-06, + "loss": 0.6709, + "step": 22951 + }, + { + "epoch": 0.67, + "learning_rate": 2.5333101927516067e-06, + "loss": 0.6768, + "step": 22952 + }, + { + "epoch": 0.67, + "learning_rate": 2.5328963627838533e-06, + "loss": 1.0031, + "step": 22953 + }, + { + "epoch": 0.67, + "learning_rate": 2.5324825551537875e-06, + "loss": 0.6647, + "step": 22954 + }, + { + "epoch": 0.67, + "learning_rate": 2.5320687698651586e-06, + "loss": 0.8644, + "step": 22955 + }, + { + "epoch": 0.67, + "learning_rate": 2.5316550069217094e-06, + "loss": 0.8411, + "step": 22956 + }, + { + "epoch": 0.67, + "learning_rate": 2.53124126632719e-06, + "loss": 0.6968, + "step": 22957 + }, + { + "epoch": 0.67, + "learning_rate": 2.5308275480853428e-06, + "loss": 0.8878, + "step": 22958 + }, + { + "epoch": 0.67, + "learning_rate": 2.5304138521999178e-06, + "loss": 0.7412, + "step": 22959 + }, + { + "epoch": 0.67, + "learning_rate": 2.5300001786746553e-06, + "loss": 0.588, + "step": 22960 + }, + { + "epoch": 0.67, + "learning_rate": 2.5295865275133064e-06, + "loss": 0.7405, + "step": 22961 + }, + { + "epoch": 0.67, + "learning_rate": 2.5291728987196117e-06, + "loss": 0.6132, + "step": 22962 + }, + { + "epoch": 0.67, + "learning_rate": 2.5287592922973183e-06, + "loss": 0.5232, + "step": 22963 + }, + { + "epoch": 0.67, + "learning_rate": 2.5283457082501735e-06, + "loss": 0.9123, + "step": 22964 + }, + { + "epoch": 0.67, + "learning_rate": 2.5279321465819175e-06, + "loss": 0.5864, + "step": 22965 + }, + { + "epoch": 0.67, + "learning_rate": 2.5275186072962983e-06, + "loss": 0.7981, + "step": 22966 + }, + { + "epoch": 0.67, + "learning_rate": 2.5271050903970572e-06, + "loss": 0.869, + "step": 22967 + }, + { + "epoch": 0.67, + "learning_rate": 2.5266915958879417e-06, + "loss": 0.5621, + "step": 22968 + }, + { + "epoch": 0.67, + "learning_rate": 2.526278123772692e-06, + "loss": 0.7865, + "step": 22969 + }, + { + "epoch": 0.67, + "learning_rate": 2.5258646740550552e-06, + "loss": 0.7251, + "step": 22970 + }, + { + "epoch": 0.67, + "learning_rate": 2.5254512467387713e-06, + "loss": 0.6899, + "step": 22971 + }, + { + "epoch": 0.67, + "learning_rate": 2.5250378418275862e-06, + "loss": 0.8404, + "step": 22972 + }, + { + "epoch": 0.67, + "learning_rate": 2.524624459325242e-06, + "loss": 0.7988, + "step": 22973 + }, + { + "epoch": 0.67, + "learning_rate": 2.524211099235483e-06, + "loss": 0.8885, + "step": 22974 + }, + { + "epoch": 0.67, + "learning_rate": 2.523797761562049e-06, + "loss": 0.5055, + "step": 22975 + }, + { + "epoch": 0.68, + "learning_rate": 2.5233844463086854e-06, + "loss": 0.7572, + "step": 22976 + }, + { + "epoch": 0.68, + "learning_rate": 2.522971153479131e-06, + "loss": 0.958, + "step": 22977 + }, + { + "epoch": 0.68, + "learning_rate": 2.522557883077133e-06, + "loss": 0.7332, + "step": 22978 + }, + { + "epoch": 0.68, + "learning_rate": 2.5221446351064278e-06, + "loss": 0.7794, + "step": 22979 + }, + { + "epoch": 0.68, + "learning_rate": 2.521731409570761e-06, + "loss": 0.8169, + "step": 22980 + }, + { + "epoch": 0.68, + "learning_rate": 2.5213182064738705e-06, + "loss": 0.5653, + "step": 22981 + }, + { + "epoch": 0.68, + "learning_rate": 2.5209050258194995e-06, + "loss": 0.6411, + "step": 22982 + }, + { + "epoch": 0.68, + "learning_rate": 2.520491867611391e-06, + "loss": 0.5259, + "step": 22983 + }, + { + "epoch": 0.68, + "learning_rate": 2.5200787318532814e-06, + "loss": 0.8792, + "step": 22984 + }, + { + "epoch": 0.68, + "learning_rate": 2.5196656185489165e-06, + "loss": 0.5613, + "step": 22985 + }, + { + "epoch": 0.68, + "learning_rate": 2.5192525277020315e-06, + "loss": 0.8052, + "step": 22986 + }, + { + "epoch": 0.68, + "learning_rate": 2.518839459316371e-06, + "loss": 0.5889, + "step": 22987 + }, + { + "epoch": 0.68, + "learning_rate": 2.518426413395671e-06, + "loss": 0.988, + "step": 22988 + }, + { + "epoch": 0.68, + "learning_rate": 2.5180133899436752e-06, + "loss": 0.6984, + "step": 22989 + }, + { + "epoch": 0.68, + "learning_rate": 2.51760038896412e-06, + "loss": 0.9782, + "step": 22990 + }, + { + "epoch": 0.68, + "learning_rate": 2.5171874104607475e-06, + "loss": 0.7453, + "step": 22991 + }, + { + "epoch": 0.68, + "learning_rate": 2.516774454437292e-06, + "loss": 0.9876, + "step": 22992 + }, + { + "epoch": 0.68, + "learning_rate": 2.5163615208975e-06, + "loss": 0.7427, + "step": 22993 + }, + { + "epoch": 0.68, + "learning_rate": 2.5159486098451046e-06, + "loss": 0.6645, + "step": 22994 + }, + { + "epoch": 0.68, + "learning_rate": 2.5155357212838473e-06, + "loss": 0.7453, + "step": 22995 + }, + { + "epoch": 0.68, + "learning_rate": 2.5151228552174646e-06, + "loss": 0.6722, + "step": 22996 + }, + { + "epoch": 0.68, + "learning_rate": 2.5147100116496957e-06, + "loss": 0.5436, + "step": 22997 + }, + { + "epoch": 0.68, + "learning_rate": 2.5142971905842774e-06, + "loss": 0.6758, + "step": 22998 + }, + { + "epoch": 0.68, + "learning_rate": 2.51388439202495e-06, + "loss": 0.6574, + "step": 22999 + }, + { + "epoch": 0.68, + "learning_rate": 2.513471615975448e-06, + "loss": 0.7719, + "step": 23000 + }, + { + "epoch": 0.68, + "learning_rate": 2.513058862439511e-06, + "loss": 0.5072, + "step": 23001 + }, + { + "epoch": 0.68, + "learning_rate": 2.5126461314208746e-06, + "loss": 0.7914, + "step": 23002 + }, + { + "epoch": 0.68, + "learning_rate": 2.512233422923276e-06, + "loss": 0.6811, + "step": 23003 + }, + { + "epoch": 0.68, + "learning_rate": 2.5118207369504536e-06, + "loss": 0.5325, + "step": 23004 + }, + { + "epoch": 0.68, + "learning_rate": 2.5114080735061417e-06, + "loss": 0.9068, + "step": 23005 + }, + { + "epoch": 0.68, + "learning_rate": 2.51099543259408e-06, + "loss": 0.5803, + "step": 23006 + }, + { + "epoch": 0.68, + "learning_rate": 2.5105828142179995e-06, + "loss": 0.932, + "step": 23007 + }, + { + "epoch": 0.68, + "learning_rate": 2.510170218381641e-06, + "loss": 0.628, + "step": 23008 + }, + { + "epoch": 0.68, + "learning_rate": 2.5097576450887374e-06, + "loss": 0.6256, + "step": 23009 + }, + { + "epoch": 0.68, + "learning_rate": 2.509345094343025e-06, + "loss": 0.8286, + "step": 23010 + }, + { + "epoch": 0.68, + "learning_rate": 2.508932566148239e-06, + "loss": 0.7696, + "step": 23011 + }, + { + "epoch": 0.68, + "learning_rate": 2.5085200605081144e-06, + "loss": 0.7303, + "step": 23012 + }, + { + "epoch": 0.68, + "learning_rate": 2.5081075774263863e-06, + "loss": 0.5348, + "step": 23013 + }, + { + "epoch": 0.68, + "learning_rate": 2.507695116906791e-06, + "loss": 0.4714, + "step": 23014 + }, + { + "epoch": 0.68, + "learning_rate": 2.50728267895306e-06, + "loss": 0.689, + "step": 23015 + }, + { + "epoch": 0.68, + "learning_rate": 2.506870263568931e-06, + "loss": 0.8307, + "step": 23016 + }, + { + "epoch": 0.68, + "learning_rate": 2.506457870758134e-06, + "loss": 0.543, + "step": 23017 + }, + { + "epoch": 0.68, + "learning_rate": 2.506045500524408e-06, + "loss": 0.6583, + "step": 23018 + }, + { + "epoch": 0.68, + "learning_rate": 2.505633152871481e-06, + "loss": 0.6255, + "step": 23019 + }, + { + "epoch": 0.68, + "learning_rate": 2.5052208278030914e-06, + "loss": 0.719, + "step": 23020 + }, + { + "epoch": 0.68, + "learning_rate": 2.5048085253229686e-06, + "loss": 0.7254, + "step": 23021 + }, + { + "epoch": 0.68, + "learning_rate": 2.5043962454348476e-06, + "loss": 0.6973, + "step": 23022 + }, + { + "epoch": 0.68, + "learning_rate": 2.5039839881424633e-06, + "loss": 0.7666, + "step": 23023 + }, + { + "epoch": 0.68, + "learning_rate": 2.5035717534495436e-06, + "loss": 0.6962, + "step": 23024 + }, + { + "epoch": 0.68, + "learning_rate": 2.5031595413598252e-06, + "loss": 0.5339, + "step": 23025 + }, + { + "epoch": 0.68, + "learning_rate": 2.5027473518770375e-06, + "loss": 0.8168, + "step": 23026 + }, + { + "epoch": 0.68, + "learning_rate": 2.5023351850049155e-06, + "loss": 0.6228, + "step": 23027 + }, + { + "epoch": 0.68, + "learning_rate": 2.501923040747187e-06, + "loss": 0.7761, + "step": 23028 + }, + { + "epoch": 0.68, + "learning_rate": 2.501510919107589e-06, + "loss": 0.5742, + "step": 23029 + }, + { + "epoch": 0.68, + "learning_rate": 2.501098820089847e-06, + "loss": 0.5666, + "step": 23030 + }, + { + "epoch": 0.68, + "learning_rate": 2.500686743697697e-06, + "loss": 0.8307, + "step": 23031 + }, + { + "epoch": 0.68, + "learning_rate": 2.500274689934865e-06, + "loss": 0.68, + "step": 23032 + }, + { + "epoch": 0.68, + "learning_rate": 2.4998626588050886e-06, + "loss": 0.4618, + "step": 23033 + }, + { + "epoch": 0.68, + "learning_rate": 2.4994506503120926e-06, + "loss": 0.7397, + "step": 23034 + }, + { + "epoch": 0.68, + "learning_rate": 2.4990386644596117e-06, + "loss": 0.9724, + "step": 23035 + }, + { + "epoch": 0.68, + "learning_rate": 2.4986267012513717e-06, + "loss": 0.6859, + "step": 23036 + }, + { + "epoch": 0.68, + "learning_rate": 2.498214760691107e-06, + "loss": 1.0302, + "step": 23037 + }, + { + "epoch": 0.68, + "learning_rate": 2.4978028427825436e-06, + "loss": 0.4204, + "step": 23038 + }, + { + "epoch": 0.68, + "learning_rate": 2.497390947529415e-06, + "loss": 0.7368, + "step": 23039 + }, + { + "epoch": 0.68, + "learning_rate": 2.496979074935446e-06, + "loss": 0.6912, + "step": 23040 + }, + { + "epoch": 0.68, + "learning_rate": 2.496567225004368e-06, + "loss": 0.8914, + "step": 23041 + }, + { + "epoch": 0.68, + "learning_rate": 2.4961553977399127e-06, + "loss": 0.7047, + "step": 23042 + }, + { + "epoch": 0.68, + "learning_rate": 2.4957435931458046e-06, + "loss": 0.7795, + "step": 23043 + }, + { + "epoch": 0.68, + "learning_rate": 2.4953318112257753e-06, + "loss": 0.6985, + "step": 23044 + }, + { + "epoch": 0.68, + "learning_rate": 2.4949200519835505e-06, + "loss": 0.6302, + "step": 23045 + }, + { + "epoch": 0.68, + "learning_rate": 2.494508315422861e-06, + "loss": 0.7818, + "step": 23046 + }, + { + "epoch": 0.68, + "learning_rate": 2.4940966015474317e-06, + "loss": 0.6687, + "step": 23047 + }, + { + "epoch": 0.68, + "learning_rate": 2.4936849103609945e-06, + "loss": 0.7009, + "step": 23048 + }, + { + "epoch": 0.68, + "learning_rate": 2.493273241867272e-06, + "loss": 0.7882, + "step": 23049 + }, + { + "epoch": 0.68, + "learning_rate": 2.4928615960699966e-06, + "loss": 0.7183, + "step": 23050 + }, + { + "epoch": 0.68, + "learning_rate": 2.492449972972889e-06, + "loss": 0.8122, + "step": 23051 + }, + { + "epoch": 0.68, + "learning_rate": 2.492038372579684e-06, + "loss": 0.8778, + "step": 23052 + }, + { + "epoch": 0.68, + "learning_rate": 2.491626794894102e-06, + "loss": 0.579, + "step": 23053 + }, + { + "epoch": 0.68, + "learning_rate": 2.4912152399198743e-06, + "loss": 0.5217, + "step": 23054 + }, + { + "epoch": 0.68, + "learning_rate": 2.490803707660722e-06, + "loss": 0.7921, + "step": 23055 + }, + { + "epoch": 0.68, + "learning_rate": 2.4903921981203767e-06, + "loss": 1.0239, + "step": 23056 + }, + { + "epoch": 0.68, + "learning_rate": 2.4899807113025596e-06, + "loss": 0.7661, + "step": 23057 + }, + { + "epoch": 0.68, + "learning_rate": 2.489569247211e-06, + "loss": 0.9369, + "step": 23058 + }, + { + "epoch": 0.68, + "learning_rate": 2.4891578058494203e-06, + "loss": 0.8522, + "step": 23059 + }, + { + "epoch": 0.68, + "learning_rate": 2.488746387221549e-06, + "loss": 0.846, + "step": 23060 + }, + { + "epoch": 0.68, + "learning_rate": 2.4883349913311072e-06, + "loss": 0.6867, + "step": 23061 + }, + { + "epoch": 0.68, + "learning_rate": 2.4879236181818222e-06, + "loss": 0.986, + "step": 23062 + }, + { + "epoch": 0.68, + "learning_rate": 2.4875122677774204e-06, + "loss": 0.8888, + "step": 23063 + }, + { + "epoch": 0.68, + "learning_rate": 2.4871009401216224e-06, + "loss": 0.8857, + "step": 23064 + }, + { + "epoch": 0.68, + "learning_rate": 2.4866896352181563e-06, + "loss": 0.7174, + "step": 23065 + }, + { + "epoch": 0.68, + "learning_rate": 2.486278353070742e-06, + "loss": 0.7202, + "step": 23066 + }, + { + "epoch": 0.68, + "learning_rate": 2.4858670936831077e-06, + "loss": 0.4933, + "step": 23067 + }, + { + "epoch": 0.68, + "learning_rate": 2.4854558570589726e-06, + "loss": 0.6116, + "step": 23068 + }, + { + "epoch": 0.68, + "learning_rate": 2.4850446432020646e-06, + "loss": 0.7133, + "step": 23069 + }, + { + "epoch": 0.68, + "learning_rate": 2.484633452116103e-06, + "loss": 0.8153, + "step": 23070 + }, + { + "epoch": 0.68, + "learning_rate": 2.4842222838048125e-06, + "loss": 0.8718, + "step": 23071 + }, + { + "epoch": 0.68, + "learning_rate": 2.4838111382719156e-06, + "loss": 0.5371, + "step": 23072 + }, + { + "epoch": 0.68, + "learning_rate": 2.483400015521137e-06, + "loss": 0.5799, + "step": 23073 + }, + { + "epoch": 0.68, + "learning_rate": 2.482988915556196e-06, + "loss": 0.6723, + "step": 23074 + }, + { + "epoch": 0.68, + "learning_rate": 2.4825778383808176e-06, + "loss": 0.7783, + "step": 23075 + }, + { + "epoch": 0.68, + "learning_rate": 2.48216678399872e-06, + "loss": 0.8203, + "step": 23076 + }, + { + "epoch": 0.68, + "learning_rate": 2.48175575241363e-06, + "loss": 0.6462, + "step": 23077 + }, + { + "epoch": 0.68, + "learning_rate": 2.4813447436292642e-06, + "loss": 0.7419, + "step": 23078 + }, + { + "epoch": 0.68, + "learning_rate": 2.480933757649348e-06, + "loss": 0.6496, + "step": 23079 + }, + { + "epoch": 0.68, + "learning_rate": 2.480522794477599e-06, + "loss": 0.7246, + "step": 23080 + }, + { + "epoch": 0.68, + "learning_rate": 2.48011185411774e-06, + "loss": 0.7127, + "step": 23081 + }, + { + "epoch": 0.68, + "learning_rate": 2.479700936573493e-06, + "loss": 0.7198, + "step": 23082 + }, + { + "epoch": 0.68, + "learning_rate": 2.479290041848576e-06, + "loss": 0.402, + "step": 23083 + }, + { + "epoch": 0.68, + "learning_rate": 2.478879169946712e-06, + "loss": 0.6695, + "step": 23084 + }, + { + "epoch": 0.68, + "learning_rate": 2.4784683208716176e-06, + "loss": 0.6533, + "step": 23085 + }, + { + "epoch": 0.68, + "learning_rate": 2.4780574946270168e-06, + "loss": 0.5327, + "step": 23086 + }, + { + "epoch": 0.68, + "learning_rate": 2.477646691216625e-06, + "loss": 0.7973, + "step": 23087 + }, + { + "epoch": 0.68, + "learning_rate": 2.4772359106441667e-06, + "loss": 0.8541, + "step": 23088 + }, + { + "epoch": 0.68, + "learning_rate": 2.4768251529133564e-06, + "loss": 0.7906, + "step": 23089 + }, + { + "epoch": 0.68, + "learning_rate": 2.4764144180279166e-06, + "loss": 0.6277, + "step": 23090 + }, + { + "epoch": 0.68, + "learning_rate": 2.4760037059915616e-06, + "loss": 0.6664, + "step": 23091 + }, + { + "epoch": 0.68, + "learning_rate": 2.4755930168080166e-06, + "loss": 0.673, + "step": 23092 + }, + { + "epoch": 0.68, + "learning_rate": 2.4751823504809946e-06, + "loss": 0.6294, + "step": 23093 + }, + { + "epoch": 0.68, + "learning_rate": 2.4747717070142187e-06, + "loss": 0.7384, + "step": 23094 + }, + { + "epoch": 0.68, + "learning_rate": 2.474361086411402e-06, + "loss": 0.6929, + "step": 23095 + }, + { + "epoch": 0.68, + "learning_rate": 2.4739504886762668e-06, + "loss": 0.6822, + "step": 23096 + }, + { + "epoch": 0.68, + "learning_rate": 2.473539913812526e-06, + "loss": 0.661, + "step": 23097 + }, + { + "epoch": 0.68, + "learning_rate": 2.4731293618239024e-06, + "loss": 0.9799, + "step": 23098 + }, + { + "epoch": 0.68, + "learning_rate": 2.472718832714108e-06, + "loss": 0.687, + "step": 23099 + }, + { + "epoch": 0.68, + "learning_rate": 2.4723083264868626e-06, + "loss": 0.7637, + "step": 23100 + }, + { + "epoch": 0.68, + "learning_rate": 2.471897843145884e-06, + "loss": 0.712, + "step": 23101 + }, + { + "epoch": 0.68, + "learning_rate": 2.471487382694886e-06, + "loss": 0.7037, + "step": 23102 + }, + { + "epoch": 0.68, + "learning_rate": 2.4710769451375883e-06, + "loss": 0.6173, + "step": 23103 + }, + { + "epoch": 0.68, + "learning_rate": 2.470666530477703e-06, + "loss": 0.7929, + "step": 23104 + }, + { + "epoch": 0.68, + "learning_rate": 2.470256138718951e-06, + "loss": 0.6068, + "step": 23105 + }, + { + "epoch": 0.68, + "learning_rate": 2.469845769865043e-06, + "loss": 0.5212, + "step": 23106 + }, + { + "epoch": 0.68, + "learning_rate": 2.469435423919699e-06, + "loss": 0.7567, + "step": 23107 + }, + { + "epoch": 0.68, + "learning_rate": 2.4690251008866305e-06, + "loss": 0.7614, + "step": 23108 + }, + { + "epoch": 0.68, + "learning_rate": 2.468614800769556e-06, + "loss": 0.6541, + "step": 23109 + }, + { + "epoch": 0.68, + "learning_rate": 2.468204523572186e-06, + "loss": 0.7527, + "step": 23110 + }, + { + "epoch": 0.68, + "learning_rate": 2.467794269298241e-06, + "loss": 0.5983, + "step": 23111 + }, + { + "epoch": 0.68, + "learning_rate": 2.4673840379514313e-06, + "loss": 0.7274, + "step": 23112 + }, + { + "epoch": 0.68, + "learning_rate": 2.4669738295354744e-06, + "loss": 0.6567, + "step": 23113 + }, + { + "epoch": 0.68, + "learning_rate": 2.4665636440540806e-06, + "loss": 0.4808, + "step": 23114 + }, + { + "epoch": 0.68, + "learning_rate": 2.4661534815109683e-06, + "loss": 0.8098, + "step": 23115 + }, + { + "epoch": 0.68, + "learning_rate": 2.4657433419098463e-06, + "loss": 0.7625, + "step": 23116 + }, + { + "epoch": 0.68, + "learning_rate": 2.465333225254433e-06, + "loss": 0.6563, + "step": 23117 + }, + { + "epoch": 0.68, + "learning_rate": 2.464923131548437e-06, + "loss": 0.5377, + "step": 23118 + }, + { + "epoch": 0.68, + "learning_rate": 2.464513060795576e-06, + "loss": 0.8611, + "step": 23119 + }, + { + "epoch": 0.68, + "learning_rate": 2.4641030129995575e-06, + "loss": 0.716, + "step": 23120 + }, + { + "epoch": 0.68, + "learning_rate": 2.463692988164098e-06, + "loss": 0.8691, + "step": 23121 + }, + { + "epoch": 0.68, + "learning_rate": 2.463282986292911e-06, + "loss": 0.4708, + "step": 23122 + }, + { + "epoch": 0.68, + "learning_rate": 2.4628730073897044e-06, + "loss": 0.758, + "step": 23123 + }, + { + "epoch": 0.68, + "learning_rate": 2.462463051458195e-06, + "loss": 0.7472, + "step": 23124 + }, + { + "epoch": 0.68, + "learning_rate": 2.4620531185020903e-06, + "loss": 0.779, + "step": 23125 + }, + { + "epoch": 0.68, + "learning_rate": 2.4616432085251057e-06, + "loss": 0.9255, + "step": 23126 + }, + { + "epoch": 0.68, + "learning_rate": 2.4612333215309494e-06, + "loss": 0.5774, + "step": 23127 + }, + { + "epoch": 0.68, + "learning_rate": 2.460823457523335e-06, + "loss": 0.9338, + "step": 23128 + }, + { + "epoch": 0.68, + "learning_rate": 2.4604136165059718e-06, + "loss": 0.7448, + "step": 23129 + }, + { + "epoch": 0.68, + "learning_rate": 2.460003798482571e-06, + "loss": 0.7669, + "step": 23130 + }, + { + "epoch": 0.68, + "learning_rate": 2.4595940034568426e-06, + "loss": 0.5805, + "step": 23131 + }, + { + "epoch": 0.68, + "learning_rate": 2.459184231432501e-06, + "loss": 0.5735, + "step": 23132 + }, + { + "epoch": 0.68, + "learning_rate": 2.458774482413251e-06, + "loss": 0.7967, + "step": 23133 + }, + { + "epoch": 0.68, + "learning_rate": 2.458364756402806e-06, + "loss": 0.7453, + "step": 23134 + }, + { + "epoch": 0.68, + "learning_rate": 2.4579550534048736e-06, + "loss": 0.6367, + "step": 23135 + }, + { + "epoch": 0.68, + "learning_rate": 2.4575453734231657e-06, + "loss": 0.7372, + "step": 23136 + }, + { + "epoch": 0.68, + "learning_rate": 2.4571357164613883e-06, + "loss": 0.7629, + "step": 23137 + }, + { + "epoch": 0.68, + "learning_rate": 2.4567260825232547e-06, + "loss": 0.7251, + "step": 23138 + }, + { + "epoch": 0.68, + "learning_rate": 2.4563164716124694e-06, + "loss": 0.9973, + "step": 23139 + }, + { + "epoch": 0.68, + "learning_rate": 2.4559068837327434e-06, + "loss": 0.5351, + "step": 23140 + }, + { + "epoch": 0.68, + "learning_rate": 2.455497318887787e-06, + "loss": 0.7639, + "step": 23141 + }, + { + "epoch": 0.68, + "learning_rate": 2.455087777081304e-06, + "loss": 0.5962, + "step": 23142 + }, + { + "epoch": 0.68, + "learning_rate": 2.4546782583170077e-06, + "loss": 0.8096, + "step": 23143 + }, + { + "epoch": 0.68, + "learning_rate": 2.454268762598601e-06, + "loss": 0.833, + "step": 23144 + }, + { + "epoch": 0.68, + "learning_rate": 2.4538592899297965e-06, + "loss": 0.7557, + "step": 23145 + }, + { + "epoch": 0.68, + "learning_rate": 2.4534498403142963e-06, + "loss": 0.8705, + "step": 23146 + }, + { + "epoch": 0.68, + "learning_rate": 2.453040413755812e-06, + "loss": 0.8928, + "step": 23147 + }, + { + "epoch": 0.68, + "learning_rate": 2.4526310102580482e-06, + "loss": 0.7558, + "step": 23148 + }, + { + "epoch": 0.68, + "learning_rate": 2.4522216298247136e-06, + "loss": 0.6696, + "step": 23149 + }, + { + "epoch": 0.68, + "learning_rate": 2.4518122724595107e-06, + "loss": 0.8288, + "step": 23150 + }, + { + "epoch": 0.68, + "learning_rate": 2.451402938166152e-06, + "loss": 0.7309, + "step": 23151 + }, + { + "epoch": 0.68, + "learning_rate": 2.450993626948339e-06, + "loss": 0.5493, + "step": 23152 + }, + { + "epoch": 0.68, + "learning_rate": 2.450584338809781e-06, + "loss": 0.9025, + "step": 23153 + }, + { + "epoch": 0.68, + "learning_rate": 2.4501750737541807e-06, + "loss": 0.6197, + "step": 23154 + }, + { + "epoch": 0.68, + "learning_rate": 2.449765831785247e-06, + "loss": 0.7326, + "step": 23155 + }, + { + "epoch": 0.68, + "learning_rate": 2.449356612906681e-06, + "loss": 0.5459, + "step": 23156 + }, + { + "epoch": 0.68, + "learning_rate": 2.448947417122192e-06, + "loss": 0.6491, + "step": 23157 + }, + { + "epoch": 0.68, + "learning_rate": 2.4485382444354823e-06, + "loss": 0.5207, + "step": 23158 + }, + { + "epoch": 0.68, + "learning_rate": 2.4481290948502582e-06, + "loss": 0.7192, + "step": 23159 + }, + { + "epoch": 0.68, + "learning_rate": 2.447719968370223e-06, + "loss": 0.5816, + "step": 23160 + }, + { + "epoch": 0.68, + "learning_rate": 2.4473108649990807e-06, + "loss": 0.6614, + "step": 23161 + }, + { + "epoch": 0.68, + "learning_rate": 2.446901784740538e-06, + "loss": 0.6778, + "step": 23162 + }, + { + "epoch": 0.68, + "learning_rate": 2.446492727598295e-06, + "loss": 0.536, + "step": 23163 + }, + { + "epoch": 0.68, + "learning_rate": 2.44608369357606e-06, + "loss": 0.5166, + "step": 23164 + }, + { + "epoch": 0.68, + "learning_rate": 2.4456746826775323e-06, + "loss": 0.5782, + "step": 23165 + }, + { + "epoch": 0.68, + "learning_rate": 2.445265694906418e-06, + "loss": 0.8213, + "step": 23166 + }, + { + "epoch": 0.68, + "learning_rate": 2.4448567302664177e-06, + "loss": 0.7071, + "step": 23167 + }, + { + "epoch": 0.68, + "learning_rate": 2.4444477887612365e-06, + "loss": 0.5509, + "step": 23168 + }, + { + "epoch": 0.68, + "learning_rate": 2.4440388703945733e-06, + "loss": 0.6066, + "step": 23169 + }, + { + "epoch": 0.68, + "learning_rate": 2.4436299751701365e-06, + "loss": 0.9866, + "step": 23170 + }, + { + "epoch": 0.68, + "learning_rate": 2.4432211030916237e-06, + "loss": 0.6909, + "step": 23171 + }, + { + "epoch": 0.68, + "learning_rate": 2.4428122541627395e-06, + "loss": 0.7491, + "step": 23172 + }, + { + "epoch": 0.68, + "learning_rate": 2.4424034283871833e-06, + "loss": 0.8723, + "step": 23173 + }, + { + "epoch": 0.68, + "learning_rate": 2.44199462576866e-06, + "loss": 0.8514, + "step": 23174 + }, + { + "epoch": 0.68, + "learning_rate": 2.4415858463108668e-06, + "loss": 0.7673, + "step": 23175 + }, + { + "epoch": 0.68, + "learning_rate": 2.441177090017509e-06, + "loss": 0.9375, + "step": 23176 + }, + { + "epoch": 0.68, + "learning_rate": 2.4407683568922835e-06, + "loss": 0.8575, + "step": 23177 + }, + { + "epoch": 0.68, + "learning_rate": 2.4403596469388953e-06, + "loss": 0.708, + "step": 23178 + }, + { + "epoch": 0.68, + "learning_rate": 2.4399509601610404e-06, + "loss": 0.5371, + "step": 23179 + }, + { + "epoch": 0.68, + "learning_rate": 2.439542296562422e-06, + "loss": 0.8831, + "step": 23180 + }, + { + "epoch": 0.68, + "learning_rate": 2.4391336561467414e-06, + "loss": 0.9834, + "step": 23181 + }, + { + "epoch": 0.68, + "learning_rate": 2.4387250389176954e-06, + "loss": 0.6478, + "step": 23182 + }, + { + "epoch": 0.68, + "learning_rate": 2.4383164448789864e-06, + "loss": 0.54, + "step": 23183 + }, + { + "epoch": 0.68, + "learning_rate": 2.4379078740343116e-06, + "loss": 0.8002, + "step": 23184 + }, + { + "epoch": 0.68, + "learning_rate": 2.4374993263873726e-06, + "loss": 0.9514, + "step": 23185 + }, + { + "epoch": 0.68, + "learning_rate": 2.437090801941866e-06, + "loss": 0.9511, + "step": 23186 + }, + { + "epoch": 0.68, + "learning_rate": 2.4366823007014933e-06, + "loss": 0.5667, + "step": 23187 + }, + { + "epoch": 0.68, + "learning_rate": 2.43627382266995e-06, + "loss": 0.5846, + "step": 23188 + }, + { + "epoch": 0.68, + "learning_rate": 2.4358653678509366e-06, + "loss": 0.522, + "step": 23189 + }, + { + "epoch": 0.68, + "learning_rate": 2.4354569362481505e-06, + "loss": 0.8406, + "step": 23190 + }, + { + "epoch": 0.68, + "learning_rate": 2.435048527865293e-06, + "loss": 0.8428, + "step": 23191 + }, + { + "epoch": 0.68, + "learning_rate": 2.4346401427060567e-06, + "loss": 0.7355, + "step": 23192 + }, + { + "epoch": 0.68, + "learning_rate": 2.434231780774144e-06, + "loss": 0.7364, + "step": 23193 + }, + { + "epoch": 0.68, + "learning_rate": 2.4338234420732476e-06, + "loss": 0.7556, + "step": 23194 + }, + { + "epoch": 0.68, + "learning_rate": 2.4334151266070692e-06, + "loss": 0.8398, + "step": 23195 + }, + { + "epoch": 0.68, + "learning_rate": 2.4330068343793025e-06, + "loss": 0.6882, + "step": 23196 + }, + { + "epoch": 0.68, + "learning_rate": 2.4325985653936463e-06, + "loss": 0.3831, + "step": 23197 + }, + { + "epoch": 0.68, + "learning_rate": 2.432190319653795e-06, + "loss": 0.8234, + "step": 23198 + }, + { + "epoch": 0.68, + "learning_rate": 2.431782097163446e-06, + "loss": 0.6191, + "step": 23199 + }, + { + "epoch": 0.68, + "learning_rate": 2.4313738979262972e-06, + "loss": 0.7463, + "step": 23200 + }, + { + "epoch": 0.68, + "learning_rate": 2.430965721946042e-06, + "loss": 0.884, + "step": 23201 + }, + { + "epoch": 0.68, + "learning_rate": 2.4305575692263787e-06, + "loss": 0.7785, + "step": 23202 + }, + { + "epoch": 0.68, + "learning_rate": 2.430149439770999e-06, + "loss": 0.5837, + "step": 23203 + }, + { + "epoch": 0.68, + "learning_rate": 2.429741333583603e-06, + "loss": 0.6157, + "step": 23204 + }, + { + "epoch": 0.68, + "learning_rate": 2.4293332506678807e-06, + "loss": 0.7377, + "step": 23205 + }, + { + "epoch": 0.68, + "learning_rate": 2.4289251910275313e-06, + "loss": 0.733, + "step": 23206 + }, + { + "epoch": 0.68, + "learning_rate": 2.4285171546662464e-06, + "loss": 0.8002, + "step": 23207 + }, + { + "epoch": 0.68, + "learning_rate": 2.428109141587723e-06, + "loss": 0.7483, + "step": 23208 + }, + { + "epoch": 0.68, + "learning_rate": 2.42770115179565e-06, + "loss": 0.8212, + "step": 23209 + }, + { + "epoch": 0.68, + "learning_rate": 2.4272931852937296e-06, + "loss": 0.5978, + "step": 23210 + }, + { + "epoch": 0.68, + "learning_rate": 2.42688524208565e-06, + "loss": 0.8144, + "step": 23211 + }, + { + "epoch": 0.68, + "learning_rate": 2.4264773221751076e-06, + "loss": 0.7857, + "step": 23212 + }, + { + "epoch": 0.68, + "learning_rate": 2.4260694255657925e-06, + "loss": 0.7093, + "step": 23213 + }, + { + "epoch": 0.68, + "learning_rate": 2.4256615522614018e-06, + "loss": 1.0941, + "step": 23214 + }, + { + "epoch": 0.68, + "learning_rate": 2.4252537022656247e-06, + "loss": 0.6422, + "step": 23215 + }, + { + "epoch": 0.68, + "learning_rate": 2.424845875582158e-06, + "loss": 0.7574, + "step": 23216 + }, + { + "epoch": 0.68, + "learning_rate": 2.42443807221469e-06, + "loss": 0.6925, + "step": 23217 + }, + { + "epoch": 0.68, + "learning_rate": 2.424030292166917e-06, + "loss": 0.6811, + "step": 23218 + }, + { + "epoch": 0.68, + "learning_rate": 2.423622535442527e-06, + "loss": 0.6947, + "step": 23219 + }, + { + "epoch": 0.68, + "learning_rate": 2.423214802045214e-06, + "loss": 0.787, + "step": 23220 + }, + { + "epoch": 0.68, + "learning_rate": 2.4228070919786724e-06, + "loss": 0.5938, + "step": 23221 + }, + { + "epoch": 0.68, + "learning_rate": 2.4223994052465884e-06, + "loss": 0.7026, + "step": 23222 + }, + { + "epoch": 0.68, + "learning_rate": 2.4219917418526584e-06, + "loss": 0.9484, + "step": 23223 + }, + { + "epoch": 0.68, + "learning_rate": 2.4215841018005686e-06, + "loss": 0.6356, + "step": 23224 + }, + { + "epoch": 0.68, + "learning_rate": 2.421176485094015e-06, + "loss": 0.914, + "step": 23225 + }, + { + "epoch": 0.68, + "learning_rate": 2.4207688917366833e-06, + "loss": 0.6885, + "step": 23226 + }, + { + "epoch": 0.68, + "learning_rate": 2.420361321732268e-06, + "loss": 0.7645, + "step": 23227 + }, + { + "epoch": 0.68, + "learning_rate": 2.419953775084456e-06, + "loss": 0.6214, + "step": 23228 + }, + { + "epoch": 0.68, + "learning_rate": 2.4195462517969386e-06, + "loss": 0.6202, + "step": 23229 + }, + { + "epoch": 0.68, + "learning_rate": 2.419138751873406e-06, + "loss": 0.8024, + "step": 23230 + }, + { + "epoch": 0.68, + "learning_rate": 2.4187312753175496e-06, + "loss": 0.5763, + "step": 23231 + }, + { + "epoch": 0.68, + "learning_rate": 2.4183238221330553e-06, + "loss": 0.6748, + "step": 23232 + }, + { + "epoch": 0.68, + "learning_rate": 2.417916392323615e-06, + "loss": 0.9589, + "step": 23233 + }, + { + "epoch": 0.68, + "learning_rate": 2.4175089858929146e-06, + "loss": 0.7877, + "step": 23234 + }, + { + "epoch": 0.68, + "learning_rate": 2.417101602844647e-06, + "loss": 0.8657, + "step": 23235 + }, + { + "epoch": 0.68, + "learning_rate": 2.4166942431824963e-06, + "loss": 0.7102, + "step": 23236 + }, + { + "epoch": 0.68, + "learning_rate": 2.4162869069101553e-06, + "loss": 0.7367, + "step": 23237 + }, + { + "epoch": 0.68, + "learning_rate": 2.415879594031305e-06, + "loss": 0.5734, + "step": 23238 + }, + { + "epoch": 0.68, + "learning_rate": 2.415472304549643e-06, + "loss": 0.9125, + "step": 23239 + }, + { + "epoch": 0.68, + "learning_rate": 2.4150650384688497e-06, + "loss": 0.8172, + "step": 23240 + }, + { + "epoch": 0.68, + "learning_rate": 2.4146577957926164e-06, + "loss": 0.7317, + "step": 23241 + }, + { + "epoch": 0.68, + "learning_rate": 2.414250576524628e-06, + "loss": 0.6181, + "step": 23242 + }, + { + "epoch": 0.68, + "learning_rate": 2.4138433806685736e-06, + "loss": 0.7723, + "step": 23243 + }, + { + "epoch": 0.68, + "learning_rate": 2.4134362082281387e-06, + "loss": 0.6569, + "step": 23244 + }, + { + "epoch": 0.68, + "learning_rate": 2.413029059207009e-06, + "loss": 0.9648, + "step": 23245 + }, + { + "epoch": 0.68, + "learning_rate": 2.4126219336088734e-06, + "loss": 0.6261, + "step": 23246 + }, + { + "epoch": 0.68, + "learning_rate": 2.412214831437415e-06, + "loss": 0.5789, + "step": 23247 + }, + { + "epoch": 0.68, + "learning_rate": 2.4118077526963213e-06, + "loss": 0.7005, + "step": 23248 + }, + { + "epoch": 0.68, + "learning_rate": 2.4114006973892783e-06, + "loss": 0.6829, + "step": 23249 + }, + { + "epoch": 0.68, + "learning_rate": 2.410993665519974e-06, + "loss": 0.6511, + "step": 23250 + }, + { + "epoch": 0.68, + "learning_rate": 2.410586657092089e-06, + "loss": 0.4337, + "step": 23251 + }, + { + "epoch": 0.68, + "learning_rate": 2.4101796721093128e-06, + "loss": 0.6592, + "step": 23252 + }, + { + "epoch": 0.68, + "learning_rate": 2.409772710575326e-06, + "loss": 0.8318, + "step": 23253 + }, + { + "epoch": 0.68, + "learning_rate": 2.4093657724938178e-06, + "loss": 0.676, + "step": 23254 + }, + { + "epoch": 0.68, + "learning_rate": 2.408958857868469e-06, + "loss": 0.7394, + "step": 23255 + }, + { + "epoch": 0.68, + "learning_rate": 2.408551966702967e-06, + "loss": 0.6082, + "step": 23256 + }, + { + "epoch": 0.68, + "learning_rate": 2.4081450990009924e-06, + "loss": 0.5677, + "step": 23257 + }, + { + "epoch": 0.68, + "learning_rate": 2.407738254766231e-06, + "loss": 0.482, + "step": 23258 + }, + { + "epoch": 0.68, + "learning_rate": 2.4073314340023663e-06, + "loss": 0.6885, + "step": 23259 + }, + { + "epoch": 0.68, + "learning_rate": 2.4069246367130838e-06, + "loss": 0.6622, + "step": 23260 + }, + { + "epoch": 0.68, + "learning_rate": 2.406517862902063e-06, + "loss": 0.7381, + "step": 23261 + }, + { + "epoch": 0.68, + "learning_rate": 2.40611111257299e-06, + "loss": 0.5763, + "step": 23262 + }, + { + "epoch": 0.68, + "learning_rate": 2.4057043857295455e-06, + "loss": 0.7399, + "step": 23263 + }, + { + "epoch": 0.68, + "learning_rate": 2.4052976823754142e-06, + "loss": 0.7607, + "step": 23264 + }, + { + "epoch": 0.68, + "learning_rate": 2.404891002514275e-06, + "loss": 0.6899, + "step": 23265 + }, + { + "epoch": 0.68, + "learning_rate": 2.4044843461498145e-06, + "loss": 0.7429, + "step": 23266 + }, + { + "epoch": 0.68, + "learning_rate": 2.404077713285711e-06, + "loss": 0.7481, + "step": 23267 + }, + { + "epoch": 0.68, + "learning_rate": 2.403671103925647e-06, + "loss": 0.6495, + "step": 23268 + }, + { + "epoch": 0.68, + "learning_rate": 2.4032645180733066e-06, + "loss": 0.7878, + "step": 23269 + }, + { + "epoch": 0.68, + "learning_rate": 2.402857955732368e-06, + "loss": 0.6874, + "step": 23270 + }, + { + "epoch": 0.68, + "learning_rate": 2.4024514169065144e-06, + "loss": 0.5223, + "step": 23271 + }, + { + "epoch": 0.68, + "learning_rate": 2.4020449015994242e-06, + "loss": 0.7165, + "step": 23272 + }, + { + "epoch": 0.68, + "learning_rate": 2.4016384098147816e-06, + "loss": 0.5814, + "step": 23273 + }, + { + "epoch": 0.68, + "learning_rate": 2.4012319415562636e-06, + "loss": 0.4833, + "step": 23274 + }, + { + "epoch": 0.68, + "learning_rate": 2.4008254968275534e-06, + "loss": 0.4517, + "step": 23275 + }, + { + "epoch": 0.68, + "learning_rate": 2.400419075632328e-06, + "loss": 0.6364, + "step": 23276 + }, + { + "epoch": 0.68, + "learning_rate": 2.4000126779742705e-06, + "loss": 0.7132, + "step": 23277 + }, + { + "epoch": 0.68, + "learning_rate": 2.3996063038570554e-06, + "loss": 0.6649, + "step": 23278 + }, + { + "epoch": 0.68, + "learning_rate": 2.399199953284369e-06, + "loss": 0.8296, + "step": 23279 + }, + { + "epoch": 0.68, + "learning_rate": 2.3987936262598856e-06, + "loss": 0.7552, + "step": 23280 + }, + { + "epoch": 0.68, + "learning_rate": 2.398387322787287e-06, + "loss": 0.6685, + "step": 23281 + }, + { + "epoch": 0.68, + "learning_rate": 2.3979810428702486e-06, + "loss": 0.6153, + "step": 23282 + }, + { + "epoch": 0.68, + "learning_rate": 2.397574786512453e-06, + "loss": 0.75, + "step": 23283 + }, + { + "epoch": 0.68, + "learning_rate": 2.397168553717575e-06, + "loss": 0.8454, + "step": 23284 + }, + { + "epoch": 0.68, + "learning_rate": 2.3967623444892956e-06, + "loss": 0.6178, + "step": 23285 + }, + { + "epoch": 0.68, + "learning_rate": 2.3963561588312896e-06, + "loss": 0.505, + "step": 23286 + }, + { + "epoch": 0.68, + "learning_rate": 2.3959499967472384e-06, + "loss": 0.5916, + "step": 23287 + }, + { + "epoch": 0.68, + "learning_rate": 2.395543858240815e-06, + "loss": 0.8938, + "step": 23288 + }, + { + "epoch": 0.68, + "learning_rate": 2.3951377433156997e-06, + "loss": 0.87, + "step": 23289 + }, + { + "epoch": 0.68, + "learning_rate": 2.3947316519755705e-06, + "loss": 0.614, + "step": 23290 + }, + { + "epoch": 0.68, + "learning_rate": 2.394325584224101e-06, + "loss": 0.5114, + "step": 23291 + }, + { + "epoch": 0.68, + "learning_rate": 2.393919540064971e-06, + "loss": 0.7215, + "step": 23292 + }, + { + "epoch": 0.68, + "learning_rate": 2.3935135195018544e-06, + "loss": 0.581, + "step": 23293 + }, + { + "epoch": 0.68, + "learning_rate": 2.39310752253843e-06, + "loss": 0.7599, + "step": 23294 + }, + { + "epoch": 0.68, + "learning_rate": 2.3927015491783695e-06, + "loss": 0.7871, + "step": 23295 + }, + { + "epoch": 0.68, + "learning_rate": 2.3922955994253543e-06, + "loss": 1.0354, + "step": 23296 + }, + { + "epoch": 0.68, + "learning_rate": 2.3918896732830526e-06, + "loss": 0.7202, + "step": 23297 + }, + { + "epoch": 0.68, + "learning_rate": 2.3914837707551486e-06, + "loss": 0.5595, + "step": 23298 + }, + { + "epoch": 0.68, + "learning_rate": 2.3910778918453103e-06, + "loss": 0.931, + "step": 23299 + }, + { + "epoch": 0.68, + "learning_rate": 2.3906720365572177e-06, + "loss": 0.6127, + "step": 23300 + }, + { + "epoch": 0.68, + "learning_rate": 2.3902662048945418e-06, + "loss": 0.8148, + "step": 23301 + }, + { + "epoch": 0.68, + "learning_rate": 2.3898603968609595e-06, + "loss": 1.0566, + "step": 23302 + }, + { + "epoch": 0.68, + "learning_rate": 2.3894546124601424e-06, + "loss": 0.5164, + "step": 23303 + }, + { + "epoch": 0.68, + "learning_rate": 2.3890488516957683e-06, + "loss": 0.6585, + "step": 23304 + }, + { + "epoch": 0.68, + "learning_rate": 2.3886431145715065e-06, + "loss": 0.701, + "step": 23305 + }, + { + "epoch": 0.68, + "learning_rate": 2.388237401091035e-06, + "loss": 0.6626, + "step": 23306 + }, + { + "epoch": 0.68, + "learning_rate": 2.387831711258024e-06, + "loss": 0.6545, + "step": 23307 + }, + { + "epoch": 0.68, + "learning_rate": 2.387426045076147e-06, + "loss": 0.9607, + "step": 23308 + }, + { + "epoch": 0.68, + "learning_rate": 2.3870204025490805e-06, + "loss": 0.5621, + "step": 23309 + }, + { + "epoch": 0.68, + "learning_rate": 2.3866147836804924e-06, + "loss": 0.5752, + "step": 23310 + }, + { + "epoch": 0.68, + "learning_rate": 2.38620918847406e-06, + "loss": 0.5925, + "step": 23311 + }, + { + "epoch": 0.68, + "learning_rate": 2.3858036169334516e-06, + "loss": 0.7375, + "step": 23312 + }, + { + "epoch": 0.68, + "learning_rate": 2.3853980690623418e-06, + "loss": 0.6855, + "step": 23313 + }, + { + "epoch": 0.68, + "learning_rate": 2.3849925448644e-06, + "loss": 0.6467, + "step": 23314 + }, + { + "epoch": 0.68, + "learning_rate": 2.384587044343302e-06, + "loss": 0.6663, + "step": 23315 + }, + { + "epoch": 0.68, + "learning_rate": 2.3841815675027146e-06, + "loss": 0.7168, + "step": 23316 + }, + { + "epoch": 0.69, + "learning_rate": 2.383776114346312e-06, + "loss": 0.7209, + "step": 23317 + }, + { + "epoch": 0.69, + "learning_rate": 2.3833706848777636e-06, + "loss": 0.527, + "step": 23318 + }, + { + "epoch": 0.69, + "learning_rate": 2.3829652791007442e-06, + "loss": 0.5523, + "step": 23319 + }, + { + "epoch": 0.69, + "learning_rate": 2.382559897018919e-06, + "loss": 0.6126, + "step": 23320 + }, + { + "epoch": 0.69, + "learning_rate": 2.3821545386359624e-06, + "loss": 0.6118, + "step": 23321 + }, + { + "epoch": 0.69, + "learning_rate": 2.381749203955542e-06, + "loss": 0.8134, + "step": 23322 + }, + { + "epoch": 0.69, + "learning_rate": 2.3813438929813304e-06, + "loss": 0.7917, + "step": 23323 + }, + { + "epoch": 0.69, + "learning_rate": 2.3809386057169936e-06, + "loss": 0.7129, + "step": 23324 + }, + { + "epoch": 0.69, + "learning_rate": 2.3805333421662056e-06, + "loss": 0.6326, + "step": 23325 + }, + { + "epoch": 0.69, + "learning_rate": 2.3801281023326323e-06, + "loss": 0.6204, + "step": 23326 + }, + { + "epoch": 0.69, + "learning_rate": 2.3797228862199436e-06, + "loss": 0.7491, + "step": 23327 + }, + { + "epoch": 0.69, + "learning_rate": 2.37931769383181e-06, + "loss": 0.5968, + "step": 23328 + }, + { + "epoch": 0.69, + "learning_rate": 2.3789125251718988e-06, + "loss": 0.7647, + "step": 23329 + }, + { + "epoch": 0.69, + "learning_rate": 2.3785073802438797e-06, + "loss": 0.8207, + "step": 23330 + }, + { + "epoch": 0.69, + "learning_rate": 2.378102259051418e-06, + "loss": 0.6319, + "step": 23331 + }, + { + "epoch": 0.69, + "learning_rate": 2.377697161598186e-06, + "loss": 0.6494, + "step": 23332 + }, + { + "epoch": 0.69, + "learning_rate": 2.3772920878878475e-06, + "loss": 0.6967, + "step": 23333 + }, + { + "epoch": 0.69, + "learning_rate": 2.376887037924074e-06, + "loss": 0.6791, + "step": 23334 + }, + { + "epoch": 0.69, + "learning_rate": 2.3764820117105286e-06, + "loss": 0.6601, + "step": 23335 + }, + { + "epoch": 0.69, + "learning_rate": 2.3760770092508826e-06, + "loss": 0.5832, + "step": 23336 + }, + { + "epoch": 0.69, + "learning_rate": 2.375672030548798e-06, + "loss": 0.7319, + "step": 23337 + }, + { + "epoch": 0.69, + "learning_rate": 2.375267075607948e-06, + "loss": 0.7868, + "step": 23338 + }, + { + "epoch": 0.69, + "learning_rate": 2.3748621444319947e-06, + "loss": 0.724, + "step": 23339 + }, + { + "epoch": 0.69, + "learning_rate": 2.374457237024607e-06, + "loss": 0.5444, + "step": 23340 + }, + { + "epoch": 0.69, + "learning_rate": 2.3740523533894477e-06, + "loss": 0.5495, + "step": 23341 + }, + { + "epoch": 0.69, + "learning_rate": 2.373647493530186e-06, + "loss": 0.4564, + "step": 23342 + }, + { + "epoch": 0.69, + "learning_rate": 2.373242657450485e-06, + "loss": 0.6825, + "step": 23343 + }, + { + "epoch": 0.69, + "learning_rate": 2.3728378451540134e-06, + "loss": 0.6278, + "step": 23344 + }, + { + "epoch": 0.69, + "learning_rate": 2.3724330566444324e-06, + "loss": 0.6258, + "step": 23345 + }, + { + "epoch": 0.69, + "learning_rate": 2.3720282919254107e-06, + "loss": 0.9189, + "step": 23346 + }, + { + "epoch": 0.69, + "learning_rate": 2.3716235510006097e-06, + "loss": 0.8713, + "step": 23347 + }, + { + "epoch": 0.69, + "learning_rate": 2.371218833873696e-06, + "loss": 0.7679, + "step": 23348 + }, + { + "epoch": 0.69, + "learning_rate": 2.370814140548336e-06, + "loss": 0.6871, + "step": 23349 + }, + { + "epoch": 0.69, + "learning_rate": 2.3704094710281896e-06, + "loss": 0.59, + "step": 23350 + }, + { + "epoch": 0.69, + "learning_rate": 2.3700048253169244e-06, + "loss": 0.8182, + "step": 23351 + }, + { + "epoch": 0.69, + "learning_rate": 2.3696002034182015e-06, + "loss": 0.5377, + "step": 23352 + }, + { + "epoch": 0.69, + "learning_rate": 2.369195605335687e-06, + "loss": 0.6785, + "step": 23353 + }, + { + "epoch": 0.69, + "learning_rate": 2.3687910310730403e-06, + "loss": 0.6344, + "step": 23354 + }, + { + "epoch": 0.69, + "learning_rate": 2.3683864806339298e-06, + "loss": 0.6144, + "step": 23355 + }, + { + "epoch": 0.69, + "learning_rate": 2.3679819540220135e-06, + "loss": 0.63, + "step": 23356 + }, + { + "epoch": 0.69, + "learning_rate": 2.3675774512409555e-06, + "loss": 0.7439, + "step": 23357 + }, + { + "epoch": 0.69, + "learning_rate": 2.367172972294419e-06, + "loss": 0.7451, + "step": 23358 + }, + { + "epoch": 0.69, + "learning_rate": 2.366768517186069e-06, + "loss": 0.8725, + "step": 23359 + }, + { + "epoch": 0.69, + "learning_rate": 2.366364085919562e-06, + "loss": 0.7127, + "step": 23360 + }, + { + "epoch": 0.69, + "learning_rate": 2.3659596784985644e-06, + "loss": 0.7576, + "step": 23361 + }, + { + "epoch": 0.69, + "learning_rate": 2.365555294926734e-06, + "loss": 0.9589, + "step": 23362 + }, + { + "epoch": 0.69, + "learning_rate": 2.3651509352077355e-06, + "loss": 1.1002, + "step": 23363 + }, + { + "epoch": 0.69, + "learning_rate": 2.3647465993452275e-06, + "loss": 0.859, + "step": 23364 + }, + { + "epoch": 0.69, + "learning_rate": 2.3643422873428736e-06, + "loss": 0.7109, + "step": 23365 + }, + { + "epoch": 0.69, + "learning_rate": 2.363937999204331e-06, + "loss": 0.5267, + "step": 23366 + }, + { + "epoch": 0.69, + "learning_rate": 2.3635337349332623e-06, + "loss": 0.7309, + "step": 23367 + }, + { + "epoch": 0.69, + "learning_rate": 2.3631294945333296e-06, + "loss": 0.7085, + "step": 23368 + }, + { + "epoch": 0.69, + "learning_rate": 2.362725278008189e-06, + "loss": 0.6746, + "step": 23369 + }, + { + "epoch": 0.69, + "learning_rate": 2.3623210853615043e-06, + "loss": 0.6046, + "step": 23370 + }, + { + "epoch": 0.69, + "learning_rate": 2.3619169165969314e-06, + "loss": 0.9765, + "step": 23371 + }, + { + "epoch": 0.69, + "learning_rate": 2.3615127717181336e-06, + "loss": 0.671, + "step": 23372 + }, + { + "epoch": 0.69, + "learning_rate": 2.3611086507287664e-06, + "loss": 0.6387, + "step": 23373 + }, + { + "epoch": 0.69, + "learning_rate": 2.360704553632492e-06, + "loss": 0.7177, + "step": 23374 + }, + { + "epoch": 0.69, + "learning_rate": 2.360300480432966e-06, + "loss": 0.8242, + "step": 23375 + }, + { + "epoch": 0.69, + "learning_rate": 2.3598964311338485e-06, + "loss": 0.7231, + "step": 23376 + }, + { + "epoch": 0.69, + "learning_rate": 2.359492405738798e-06, + "loss": 0.6978, + "step": 23377 + }, + { + "epoch": 0.69, + "learning_rate": 2.3590884042514746e-06, + "loss": 0.5956, + "step": 23378 + }, + { + "epoch": 0.69, + "learning_rate": 2.3586844266755325e-06, + "loss": 0.7697, + "step": 23379 + }, + { + "epoch": 0.69, + "learning_rate": 2.358280473014633e-06, + "loss": 0.8141, + "step": 23380 + }, + { + "epoch": 0.69, + "learning_rate": 2.35787654327243e-06, + "loss": 0.6839, + "step": 23381 + }, + { + "epoch": 0.69, + "learning_rate": 2.357472637452584e-06, + "loss": 0.6176, + "step": 23382 + }, + { + "epoch": 0.69, + "learning_rate": 2.357068755558749e-06, + "loss": 0.9488, + "step": 23383 + }, + { + "epoch": 0.69, + "learning_rate": 2.356664897594585e-06, + "loss": 0.7214, + "step": 23384 + }, + { + "epoch": 0.69, + "learning_rate": 2.356261063563745e-06, + "loss": 0.7081, + "step": 23385 + }, + { + "epoch": 0.69, + "learning_rate": 2.3558572534698877e-06, + "loss": 0.6731, + "step": 23386 + }, + { + "epoch": 0.69, + "learning_rate": 2.3554534673166705e-06, + "loss": 0.7142, + "step": 23387 + }, + { + "epoch": 0.69, + "learning_rate": 2.355049705107747e-06, + "loss": 0.6532, + "step": 23388 + }, + { + "epoch": 0.69, + "learning_rate": 2.3546459668467746e-06, + "loss": 0.5768, + "step": 23389 + }, + { + "epoch": 0.69, + "learning_rate": 2.3542422525374066e-06, + "loss": 0.7483, + "step": 23390 + }, + { + "epoch": 0.69, + "learning_rate": 2.3538385621833015e-06, + "loss": 0.6864, + "step": 23391 + }, + { + "epoch": 0.69, + "learning_rate": 2.353434895788111e-06, + "loss": 1.066, + "step": 23392 + }, + { + "epoch": 0.69, + "learning_rate": 2.3530312533554933e-06, + "loss": 0.941, + "step": 23393 + }, + { + "epoch": 0.69, + "learning_rate": 2.3526276348891e-06, + "loss": 0.5665, + "step": 23394 + }, + { + "epoch": 0.69, + "learning_rate": 2.3522240403925884e-06, + "loss": 1.023, + "step": 23395 + }, + { + "epoch": 0.69, + "learning_rate": 2.3518204698696073e-06, + "loss": 0.6451, + "step": 23396 + }, + { + "epoch": 0.69, + "learning_rate": 2.3514169233238187e-06, + "loss": 0.6038, + "step": 23397 + }, + { + "epoch": 0.69, + "learning_rate": 2.3510134007588707e-06, + "loss": 0.5034, + "step": 23398 + }, + { + "epoch": 0.69, + "learning_rate": 2.35060990217842e-06, + "loss": 0.6833, + "step": 23399 + }, + { + "epoch": 0.69, + "learning_rate": 2.3502064275861177e-06, + "loss": 0.65, + "step": 23400 + }, + { + "epoch": 0.69, + "learning_rate": 2.3498029769856183e-06, + "loss": 0.7727, + "step": 23401 + }, + { + "epoch": 0.69, + "learning_rate": 2.3493995503805733e-06, + "loss": 0.6974, + "step": 23402 + }, + { + "epoch": 0.69, + "learning_rate": 2.3489961477746374e-06, + "loss": 0.5483, + "step": 23403 + }, + { + "epoch": 0.69, + "learning_rate": 2.3485927691714613e-06, + "loss": 0.6074, + "step": 23404 + }, + { + "epoch": 0.69, + "learning_rate": 2.3481894145746993e-06, + "loss": 0.5742, + "step": 23405 + }, + { + "epoch": 0.69, + "learning_rate": 2.3477860839879994e-06, + "loss": 0.5853, + "step": 23406 + }, + { + "epoch": 0.69, + "learning_rate": 2.3473827774150176e-06, + "loss": 0.6334, + "step": 23407 + }, + { + "epoch": 0.69, + "learning_rate": 2.346979494859405e-06, + "loss": 0.5842, + "step": 23408 + }, + { + "epoch": 0.69, + "learning_rate": 2.3465762363248108e-06, + "loss": 0.75, + "step": 23409 + }, + { + "epoch": 0.69, + "learning_rate": 2.346173001814889e-06, + "loss": 0.5072, + "step": 23410 + }, + { + "epoch": 0.69, + "learning_rate": 2.345769791333288e-06, + "loss": 0.6468, + "step": 23411 + }, + { + "epoch": 0.69, + "learning_rate": 2.3453666048836604e-06, + "loss": 0.6326, + "step": 23412 + }, + { + "epoch": 0.69, + "learning_rate": 2.344963442469655e-06, + "loss": 0.6779, + "step": 23413 + }, + { + "epoch": 0.69, + "learning_rate": 2.3445603040949244e-06, + "loss": 0.9087, + "step": 23414 + }, + { + "epoch": 0.69, + "learning_rate": 2.344157189763116e-06, + "loss": 0.8128, + "step": 23415 + }, + { + "epoch": 0.69, + "learning_rate": 2.3437540994778807e-06, + "loss": 1.0113, + "step": 23416 + }, + { + "epoch": 0.69, + "learning_rate": 2.343351033242869e-06, + "loss": 0.5588, + "step": 23417 + }, + { + "epoch": 0.69, + "learning_rate": 2.3429479910617315e-06, + "loss": 0.6543, + "step": 23418 + }, + { + "epoch": 0.69, + "learning_rate": 2.342544972938114e-06, + "loss": 0.7199, + "step": 23419 + }, + { + "epoch": 0.69, + "learning_rate": 2.3421419788756694e-06, + "loss": 0.5721, + "step": 23420 + }, + { + "epoch": 0.69, + "learning_rate": 2.3417390088780424e-06, + "loss": 0.6864, + "step": 23421 + }, + { + "epoch": 0.69, + "learning_rate": 2.3413360629488854e-06, + "loss": 0.8311, + "step": 23422 + }, + { + "epoch": 0.69, + "learning_rate": 2.340933141091843e-06, + "loss": 0.7724, + "step": 23423 + }, + { + "epoch": 0.69, + "learning_rate": 2.3405302433105676e-06, + "loss": 0.7765, + "step": 23424 + }, + { + "epoch": 0.69, + "learning_rate": 2.3401273696087024e-06, + "loss": 0.7378, + "step": 23425 + }, + { + "epoch": 0.69, + "learning_rate": 2.339724519989898e-06, + "loss": 0.7517, + "step": 23426 + }, + { + "epoch": 0.69, + "learning_rate": 2.3393216944578034e-06, + "loss": 0.6714, + "step": 23427 + }, + { + "epoch": 0.69, + "learning_rate": 2.338918893016062e-06, + "loss": 0.5582, + "step": 23428 + }, + { + "epoch": 0.69, + "learning_rate": 2.338516115668324e-06, + "loss": 0.6827, + "step": 23429 + }, + { + "epoch": 0.69, + "learning_rate": 2.338113362418234e-06, + "loss": 0.6359, + "step": 23430 + }, + { + "epoch": 0.69, + "learning_rate": 2.337710633269441e-06, + "loss": 0.5808, + "step": 23431 + }, + { + "epoch": 0.69, + "learning_rate": 2.3373079282255878e-06, + "loss": 0.8081, + "step": 23432 + }, + { + "epoch": 0.69, + "learning_rate": 2.3369052472903253e-06, + "loss": 0.6383, + "step": 23433 + }, + { + "epoch": 0.69, + "learning_rate": 2.336502590467295e-06, + "loss": 0.6852, + "step": 23434 + }, + { + "epoch": 0.69, + "learning_rate": 2.3360999577601444e-06, + "loss": 0.6632, + "step": 23435 + }, + { + "epoch": 0.69, + "learning_rate": 2.3356973491725194e-06, + "loss": 0.7988, + "step": 23436 + }, + { + "epoch": 0.69, + "learning_rate": 2.3352947647080666e-06, + "loss": 0.7735, + "step": 23437 + }, + { + "epoch": 0.69, + "learning_rate": 2.3348922043704282e-06, + "loss": 0.5682, + "step": 23438 + }, + { + "epoch": 0.69, + "learning_rate": 2.3344896681632517e-06, + "loss": 0.6034, + "step": 23439 + }, + { + "epoch": 0.69, + "learning_rate": 2.334087156090179e-06, + "loss": 0.7329, + "step": 23440 + }, + { + "epoch": 0.69, + "learning_rate": 2.333684668154858e-06, + "loss": 1.0201, + "step": 23441 + }, + { + "epoch": 0.69, + "learning_rate": 2.3332822043609288e-06, + "loss": 0.8722, + "step": 23442 + }, + { + "epoch": 0.69, + "learning_rate": 2.33287976471204e-06, + "loss": 0.7398, + "step": 23443 + }, + { + "epoch": 0.69, + "learning_rate": 2.3324773492118307e-06, + "loss": 0.9178, + "step": 23444 + }, + { + "epoch": 0.69, + "learning_rate": 2.3320749578639463e-06, + "loss": 0.6639, + "step": 23445 + }, + { + "epoch": 0.69, + "learning_rate": 2.331672590672033e-06, + "loss": 0.6229, + "step": 23446 + }, + { + "epoch": 0.69, + "learning_rate": 2.331270247639729e-06, + "loss": 0.8322, + "step": 23447 + }, + { + "epoch": 0.69, + "learning_rate": 2.330867928770682e-06, + "loss": 0.9099, + "step": 23448 + }, + { + "epoch": 0.69, + "learning_rate": 2.3304656340685305e-06, + "loss": 0.9254, + "step": 23449 + }, + { + "epoch": 0.69, + "learning_rate": 2.3300633635369208e-06, + "loss": 0.6205, + "step": 23450 + }, + { + "epoch": 0.69, + "learning_rate": 2.3296611171794907e-06, + "loss": 0.482, + "step": 23451 + }, + { + "epoch": 0.69, + "learning_rate": 2.329258894999887e-06, + "loss": 0.923, + "step": 23452 + }, + { + "epoch": 0.69, + "learning_rate": 2.3288566970017468e-06, + "loss": 0.6855, + "step": 23453 + }, + { + "epoch": 0.69, + "learning_rate": 2.328454523188716e-06, + "loss": 0.59, + "step": 23454 + }, + { + "epoch": 0.69, + "learning_rate": 2.3280523735644307e-06, + "loss": 0.561, + "step": 23455 + }, + { + "epoch": 0.69, + "learning_rate": 2.3276502481325388e-06, + "loss": 0.8052, + "step": 23456 + }, + { + "epoch": 0.69, + "learning_rate": 2.327248146896676e-06, + "loss": 0.6516, + "step": 23457 + }, + { + "epoch": 0.69, + "learning_rate": 2.326846069860487e-06, + "loss": 0.5658, + "step": 23458 + }, + { + "epoch": 0.69, + "learning_rate": 2.3264440170276075e-06, + "loss": 0.4954, + "step": 23459 + }, + { + "epoch": 0.69, + "learning_rate": 2.3260419884016826e-06, + "loss": 0.7625, + "step": 23460 + }, + { + "epoch": 0.69, + "learning_rate": 2.325639983986349e-06, + "loss": 0.6592, + "step": 23461 + }, + { + "epoch": 0.69, + "learning_rate": 2.3252380037852483e-06, + "loss": 0.7371, + "step": 23462 + }, + { + "epoch": 0.69, + "learning_rate": 2.3248360478020184e-06, + "loss": 0.9867, + "step": 23463 + }, + { + "epoch": 0.69, + "learning_rate": 2.324434116040301e-06, + "loss": 0.7394, + "step": 23464 + }, + { + "epoch": 0.69, + "learning_rate": 2.324032208503733e-06, + "loss": 0.5743, + "step": 23465 + }, + { + "epoch": 0.69, + "learning_rate": 2.323630325195954e-06, + "loss": 0.9471, + "step": 23466 + }, + { + "epoch": 0.69, + "learning_rate": 2.323228466120605e-06, + "loss": 0.8544, + "step": 23467 + }, + { + "epoch": 0.69, + "learning_rate": 2.322826631281321e-06, + "loss": 0.7606, + "step": 23468 + }, + { + "epoch": 0.69, + "learning_rate": 2.3224248206817436e-06, + "loss": 0.6655, + "step": 23469 + }, + { + "epoch": 0.69, + "learning_rate": 2.3220230343255074e-06, + "loss": 0.6338, + "step": 23470 + }, + { + "epoch": 0.69, + "learning_rate": 2.321621272216254e-06, + "loss": 0.7044, + "step": 23471 + }, + { + "epoch": 0.69, + "learning_rate": 2.321219534357617e-06, + "loss": 0.6784, + "step": 23472 + }, + { + "epoch": 0.69, + "learning_rate": 2.320817820753238e-06, + "loss": 0.8124, + "step": 23473 + }, + { + "epoch": 0.69, + "learning_rate": 2.3204161314067507e-06, + "loss": 0.8451, + "step": 23474 + }, + { + "epoch": 0.69, + "learning_rate": 2.3200144663217933e-06, + "loss": 0.6251, + "step": 23475 + }, + { + "epoch": 0.69, + "learning_rate": 2.319612825502003e-06, + "loss": 0.5819, + "step": 23476 + }, + { + "epoch": 0.69, + "learning_rate": 2.319211208951018e-06, + "loss": 0.5994, + "step": 23477 + }, + { + "epoch": 0.69, + "learning_rate": 2.3188096166724703e-06, + "loss": 0.9284, + "step": 23478 + }, + { + "epoch": 0.69, + "learning_rate": 2.3184080486700006e-06, + "loss": 0.7985, + "step": 23479 + }, + { + "epoch": 0.69, + "learning_rate": 2.318006504947241e-06, + "loss": 0.6726, + "step": 23480 + }, + { + "epoch": 0.69, + "learning_rate": 2.317604985507831e-06, + "loss": 0.5884, + "step": 23481 + }, + { + "epoch": 0.69, + "learning_rate": 2.3172034903554012e-06, + "loss": 0.8251, + "step": 23482 + }, + { + "epoch": 0.69, + "learning_rate": 2.316802019493592e-06, + "loss": 0.7509, + "step": 23483 + }, + { + "epoch": 0.69, + "learning_rate": 2.3164005729260344e-06, + "loss": 0.46, + "step": 23484 + }, + { + "epoch": 0.69, + "learning_rate": 2.3159991506563637e-06, + "loss": 0.6738, + "step": 23485 + }, + { + "epoch": 0.69, + "learning_rate": 2.315597752688218e-06, + "loss": 0.6968, + "step": 23486 + }, + { + "epoch": 0.69, + "learning_rate": 2.3151963790252267e-06, + "loss": 0.5757, + "step": 23487 + }, + { + "epoch": 0.69, + "learning_rate": 2.3147950296710287e-06, + "loss": 0.8539, + "step": 23488 + }, + { + "epoch": 0.69, + "learning_rate": 2.3143937046292534e-06, + "loss": 0.665, + "step": 23489 + }, + { + "epoch": 0.69, + "learning_rate": 2.313992403903539e-06, + "loss": 0.8583, + "step": 23490 + }, + { + "epoch": 0.69, + "learning_rate": 2.3135911274975136e-06, + "loss": 0.6079, + "step": 23491 + }, + { + "epoch": 0.69, + "learning_rate": 2.313189875414816e-06, + "loss": 0.8695, + "step": 23492 + }, + { + "epoch": 0.69, + "learning_rate": 2.3127886476590748e-06, + "loss": 0.7755, + "step": 23493 + }, + { + "epoch": 0.69, + "learning_rate": 2.3123874442339245e-06, + "loss": 0.6991, + "step": 23494 + }, + { + "epoch": 0.69, + "learning_rate": 2.311986265142998e-06, + "loss": 0.7937, + "step": 23495 + }, + { + "epoch": 0.69, + "learning_rate": 2.311585110389929e-06, + "loss": 0.6662, + "step": 23496 + }, + { + "epoch": 0.69, + "learning_rate": 2.3111839799783464e-06, + "loss": 0.7431, + "step": 23497 + }, + { + "epoch": 0.69, + "learning_rate": 2.310782873911886e-06, + "loss": 0.835, + "step": 23498 + }, + { + "epoch": 0.69, + "learning_rate": 2.310381792194175e-06, + "loss": 0.5811, + "step": 23499 + }, + { + "epoch": 0.69, + "learning_rate": 2.3099807348288494e-06, + "loss": 0.7865, + "step": 23500 + }, + { + "epoch": 0.69, + "learning_rate": 2.309579701819536e-06, + "loss": 0.5924, + "step": 23501 + }, + { + "epoch": 0.69, + "learning_rate": 2.3091786931698703e-06, + "loss": 0.8596, + "step": 23502 + }, + { + "epoch": 0.69, + "learning_rate": 2.308777708883479e-06, + "loss": 0.8225, + "step": 23503 + }, + { + "epoch": 0.69, + "learning_rate": 2.3083767489639948e-06, + "loss": 0.6977, + "step": 23504 + }, + { + "epoch": 0.69, + "learning_rate": 2.30797581341505e-06, + "loss": 0.5708, + "step": 23505 + }, + { + "epoch": 0.69, + "learning_rate": 2.3075749022402706e-06, + "loss": 0.8554, + "step": 23506 + }, + { + "epoch": 0.69, + "learning_rate": 2.3071740154432896e-06, + "loss": 0.9281, + "step": 23507 + }, + { + "epoch": 0.69, + "learning_rate": 2.306773153027735e-06, + "loss": 0.4487, + "step": 23508 + }, + { + "epoch": 0.69, + "learning_rate": 2.3063723149972384e-06, + "loss": 0.8334, + "step": 23509 + }, + { + "epoch": 0.69, + "learning_rate": 2.3059715013554263e-06, + "loss": 0.6931, + "step": 23510 + }, + { + "epoch": 0.69, + "learning_rate": 2.305570712105931e-06, + "loss": 0.7734, + "step": 23511 + }, + { + "epoch": 0.69, + "learning_rate": 2.305169947252377e-06, + "loss": 0.7905, + "step": 23512 + }, + { + "epoch": 0.69, + "learning_rate": 2.3047692067983974e-06, + "loss": 0.6977, + "step": 23513 + }, + { + "epoch": 0.69, + "learning_rate": 2.3043684907476147e-06, + "loss": 0.6972, + "step": 23514 + }, + { + "epoch": 0.69, + "learning_rate": 2.303967799103665e-06, + "loss": 0.7063, + "step": 23515 + }, + { + "epoch": 0.69, + "learning_rate": 2.3035671318701702e-06, + "loss": 0.5996, + "step": 23516 + }, + { + "epoch": 0.69, + "learning_rate": 2.303166489050762e-06, + "loss": 0.5558, + "step": 23517 + }, + { + "epoch": 0.69, + "learning_rate": 2.3027658706490643e-06, + "loss": 0.5611, + "step": 23518 + }, + { + "epoch": 0.69, + "learning_rate": 2.3023652766687075e-06, + "loss": 0.8306, + "step": 23519 + }, + { + "epoch": 0.69, + "learning_rate": 2.3019647071133154e-06, + "loss": 0.7775, + "step": 23520 + }, + { + "epoch": 0.69, + "learning_rate": 2.3015641619865186e-06, + "loss": 0.6429, + "step": 23521 + }, + { + "epoch": 0.69, + "learning_rate": 2.30116364129194e-06, + "loss": 0.607, + "step": 23522 + }, + { + "epoch": 0.69, + "learning_rate": 2.3007631450332097e-06, + "loss": 0.7957, + "step": 23523 + }, + { + "epoch": 0.69, + "learning_rate": 2.3003626732139496e-06, + "loss": 0.8779, + "step": 23524 + }, + { + "epoch": 0.69, + "learning_rate": 2.299962225837788e-06, + "loss": 0.4717, + "step": 23525 + }, + { + "epoch": 0.69, + "learning_rate": 2.2995618029083527e-06, + "loss": 0.8359, + "step": 23526 + }, + { + "epoch": 0.69, + "learning_rate": 2.2991614044292654e-06, + "loss": 0.6106, + "step": 23527 + }, + { + "epoch": 0.69, + "learning_rate": 2.2987610304041548e-06, + "loss": 0.5626, + "step": 23528 + }, + { + "epoch": 0.69, + "learning_rate": 2.298360680836643e-06, + "loss": 0.7725, + "step": 23529 + }, + { + "epoch": 0.69, + "learning_rate": 2.297960355730357e-06, + "loss": 0.7689, + "step": 23530 + }, + { + "epoch": 0.69, + "learning_rate": 2.2975600550889193e-06, + "loss": 0.5438, + "step": 23531 + }, + { + "epoch": 0.69, + "learning_rate": 2.297159778915957e-06, + "loss": 0.8058, + "step": 23532 + }, + { + "epoch": 0.69, + "learning_rate": 2.2967595272150917e-06, + "loss": 0.8436, + "step": 23533 + }, + { + "epoch": 0.69, + "learning_rate": 2.2963592999899486e-06, + "loss": 0.8831, + "step": 23534 + }, + { + "epoch": 0.69, + "learning_rate": 2.2959590972441508e-06, + "loss": 0.8202, + "step": 23535 + }, + { + "epoch": 0.69, + "learning_rate": 2.295558918981325e-06, + "loss": 0.5924, + "step": 23536 + }, + { + "epoch": 0.69, + "learning_rate": 2.2951587652050894e-06, + "loss": 0.5805, + "step": 23537 + }, + { + "epoch": 0.69, + "learning_rate": 2.2947586359190714e-06, + "loss": 0.7128, + "step": 23538 + }, + { + "epoch": 0.69, + "learning_rate": 2.2943585311268906e-06, + "loss": 0.7895, + "step": 23539 + }, + { + "epoch": 0.69, + "learning_rate": 2.293958450832173e-06, + "loss": 0.8003, + "step": 23540 + }, + { + "epoch": 0.69, + "learning_rate": 2.2935583950385365e-06, + "loss": 0.561, + "step": 23541 + }, + { + "epoch": 0.69, + "learning_rate": 2.2931583637496087e-06, + "loss": 0.8245, + "step": 23542 + }, + { + "epoch": 0.69, + "learning_rate": 2.292758356969006e-06, + "loss": 0.6616, + "step": 23543 + }, + { + "epoch": 0.69, + "learning_rate": 2.2923583747003538e-06, + "loss": 0.3652, + "step": 23544 + }, + { + "epoch": 0.69, + "learning_rate": 2.291958416947274e-06, + "loss": 0.665, + "step": 23545 + }, + { + "epoch": 0.69, + "learning_rate": 2.2915584837133848e-06, + "loss": 0.6685, + "step": 23546 + }, + { + "epoch": 0.69, + "learning_rate": 2.2911585750023115e-06, + "loss": 0.4614, + "step": 23547 + }, + { + "epoch": 0.69, + "learning_rate": 2.2907586908176697e-06, + "loss": 0.9234, + "step": 23548 + }, + { + "epoch": 0.69, + "learning_rate": 2.290358831163086e-06, + "loss": 0.5435, + "step": 23549 + }, + { + "epoch": 0.69, + "learning_rate": 2.2899589960421746e-06, + "loss": 0.9414, + "step": 23550 + }, + { + "epoch": 0.69, + "learning_rate": 2.2895591854585618e-06, + "loss": 0.7829, + "step": 23551 + }, + { + "epoch": 0.69, + "learning_rate": 2.289159399415862e-06, + "loss": 0.7372, + "step": 23552 + }, + { + "epoch": 0.69, + "learning_rate": 2.2887596379177e-06, + "loss": 0.6252, + "step": 23553 + }, + { + "epoch": 0.69, + "learning_rate": 2.2883599009676888e-06, + "loss": 0.8767, + "step": 23554 + }, + { + "epoch": 0.69, + "learning_rate": 2.287960188569456e-06, + "loss": 0.5197, + "step": 23555 + }, + { + "epoch": 0.69, + "learning_rate": 2.287560500726614e-06, + "loss": 0.8728, + "step": 23556 + }, + { + "epoch": 0.69, + "learning_rate": 2.2871608374427856e-06, + "loss": 0.8657, + "step": 23557 + }, + { + "epoch": 0.69, + "learning_rate": 2.2867611987215873e-06, + "loss": 0.7463, + "step": 23558 + }, + { + "epoch": 0.69, + "learning_rate": 2.2863615845666386e-06, + "loss": 0.728, + "step": 23559 + }, + { + "epoch": 0.69, + "learning_rate": 2.2859619949815564e-06, + "loss": 0.5448, + "step": 23560 + }, + { + "epoch": 0.69, + "learning_rate": 2.2855624299699613e-06, + "loss": 1.0197, + "step": 23561 + }, + { + "epoch": 0.69, + "learning_rate": 2.2851628895354672e-06, + "loss": 0.6533, + "step": 23562 + }, + { + "epoch": 0.69, + "learning_rate": 2.284763373681694e-06, + "loss": 0.4388, + "step": 23563 + }, + { + "epoch": 0.69, + "learning_rate": 2.2843638824122583e-06, + "loss": 0.7359, + "step": 23564 + }, + { + "epoch": 0.69, + "learning_rate": 2.2839644157307796e-06, + "loss": 0.3761, + "step": 23565 + }, + { + "epoch": 0.69, + "learning_rate": 2.283564973640871e-06, + "loss": 0.7299, + "step": 23566 + }, + { + "epoch": 0.69, + "learning_rate": 2.2831655561461526e-06, + "loss": 0.6865, + "step": 23567 + }, + { + "epoch": 0.69, + "learning_rate": 2.2827661632502374e-06, + "loss": 0.9486, + "step": 23568 + }, + { + "epoch": 0.69, + "learning_rate": 2.2823667949567445e-06, + "loss": 0.6773, + "step": 23569 + }, + { + "epoch": 0.69, + "learning_rate": 2.2819674512692897e-06, + "loss": 0.841, + "step": 23570 + }, + { + "epoch": 0.69, + "learning_rate": 2.2815681321914853e-06, + "loss": 0.7341, + "step": 23571 + }, + { + "epoch": 0.69, + "learning_rate": 2.281168837726951e-06, + "loss": 0.7523, + "step": 23572 + }, + { + "epoch": 0.69, + "learning_rate": 2.280769567879296e-06, + "loss": 0.8419, + "step": 23573 + }, + { + "epoch": 0.69, + "learning_rate": 2.2803703226521446e-06, + "loss": 0.4402, + "step": 23574 + }, + { + "epoch": 0.69, + "learning_rate": 2.2799711020491044e-06, + "loss": 0.7354, + "step": 23575 + }, + { + "epoch": 0.69, + "learning_rate": 2.279571906073794e-06, + "loss": 0.6982, + "step": 23576 + }, + { + "epoch": 0.69, + "learning_rate": 2.279172734729825e-06, + "loss": 0.7365, + "step": 23577 + }, + { + "epoch": 0.69, + "learning_rate": 2.278773588020814e-06, + "loss": 0.637, + "step": 23578 + }, + { + "epoch": 0.69, + "learning_rate": 2.2783744659503715e-06, + "loss": 0.8179, + "step": 23579 + }, + { + "epoch": 0.69, + "learning_rate": 2.2779753685221162e-06, + "loss": 0.8119, + "step": 23580 + }, + { + "epoch": 0.69, + "learning_rate": 2.2775762957396564e-06, + "loss": 0.8104, + "step": 23581 + }, + { + "epoch": 0.69, + "learning_rate": 2.27717724760661e-06, + "loss": 0.7482, + "step": 23582 + }, + { + "epoch": 0.69, + "learning_rate": 2.276778224126584e-06, + "loss": 0.7394, + "step": 23583 + }, + { + "epoch": 0.69, + "learning_rate": 2.276379225303199e-06, + "loss": 0.6351, + "step": 23584 + }, + { + "epoch": 0.69, + "learning_rate": 2.275980251140062e-06, + "loss": 0.7955, + "step": 23585 + }, + { + "epoch": 0.69, + "learning_rate": 2.275581301640789e-06, + "loss": 0.6604, + "step": 23586 + }, + { + "epoch": 0.69, + "learning_rate": 2.2751823768089887e-06, + "loss": 0.9809, + "step": 23587 + }, + { + "epoch": 0.69, + "learning_rate": 2.2747834766482762e-06, + "loss": 0.9506, + "step": 23588 + }, + { + "epoch": 0.69, + "learning_rate": 2.2743846011622607e-06, + "loss": 0.8212, + "step": 23589 + }, + { + "epoch": 0.69, + "learning_rate": 2.2739857503545552e-06, + "loss": 0.5204, + "step": 23590 + }, + { + "epoch": 0.69, + "learning_rate": 2.27358692422877e-06, + "loss": 0.4842, + "step": 23591 + }, + { + "epoch": 0.69, + "learning_rate": 2.273188122788518e-06, + "loss": 0.5915, + "step": 23592 + }, + { + "epoch": 0.69, + "learning_rate": 2.272789346037407e-06, + "loss": 0.6098, + "step": 23593 + }, + { + "epoch": 0.69, + "learning_rate": 2.272390593979049e-06, + "loss": 0.5875, + "step": 23594 + }, + { + "epoch": 0.69, + "learning_rate": 2.271991866617057e-06, + "loss": 0.6032, + "step": 23595 + }, + { + "epoch": 0.69, + "learning_rate": 2.271593163955037e-06, + "loss": 0.6206, + "step": 23596 + }, + { + "epoch": 0.69, + "learning_rate": 2.271194485996602e-06, + "loss": 0.4541, + "step": 23597 + }, + { + "epoch": 0.69, + "learning_rate": 2.2707958327453594e-06, + "loss": 0.6059, + "step": 23598 + }, + { + "epoch": 0.69, + "learning_rate": 2.2703972042049218e-06, + "loss": 0.652, + "step": 23599 + }, + { + "epoch": 0.69, + "learning_rate": 2.2699986003788942e-06, + "loss": 0.6842, + "step": 23600 + }, + { + "epoch": 0.69, + "learning_rate": 2.2696000212708903e-06, + "loss": 0.8441, + "step": 23601 + }, + { + "epoch": 0.69, + "learning_rate": 2.269201466884514e-06, + "loss": 0.8766, + "step": 23602 + }, + { + "epoch": 0.69, + "learning_rate": 2.268802937223377e-06, + "loss": 0.7807, + "step": 23603 + }, + { + "epoch": 0.69, + "learning_rate": 2.268404432291087e-06, + "loss": 0.7738, + "step": 23604 + }, + { + "epoch": 0.69, + "learning_rate": 2.268005952091254e-06, + "loss": 0.7023, + "step": 23605 + }, + { + "epoch": 0.69, + "learning_rate": 2.2676074966274826e-06, + "loss": 0.645, + "step": 23606 + }, + { + "epoch": 0.69, + "learning_rate": 2.267209065903384e-06, + "loss": 0.6903, + "step": 23607 + }, + { + "epoch": 0.69, + "learning_rate": 2.266810659922562e-06, + "loss": 0.9902, + "step": 23608 + }, + { + "epoch": 0.69, + "learning_rate": 2.266412278688627e-06, + "loss": 0.4979, + "step": 23609 + }, + { + "epoch": 0.69, + "learning_rate": 2.2660139222051834e-06, + "loss": 0.7224, + "step": 23610 + }, + { + "epoch": 0.69, + "learning_rate": 2.265615590475841e-06, + "loss": 0.3768, + "step": 23611 + }, + { + "epoch": 0.69, + "learning_rate": 2.2652172835042023e-06, + "loss": 0.6721, + "step": 23612 + }, + { + "epoch": 0.69, + "learning_rate": 2.2648190012938765e-06, + "loss": 0.6735, + "step": 23613 + }, + { + "epoch": 0.69, + "learning_rate": 2.264420743848471e-06, + "loss": 0.6574, + "step": 23614 + }, + { + "epoch": 0.69, + "learning_rate": 2.2640225111715884e-06, + "loss": 0.5186, + "step": 23615 + }, + { + "epoch": 0.69, + "learning_rate": 2.2636243032668374e-06, + "loss": 0.9604, + "step": 23616 + }, + { + "epoch": 0.69, + "learning_rate": 2.2632261201378204e-06, + "loss": 0.4867, + "step": 23617 + }, + { + "epoch": 0.69, + "learning_rate": 2.2628279617881462e-06, + "loss": 0.6125, + "step": 23618 + }, + { + "epoch": 0.69, + "learning_rate": 2.2624298282214156e-06, + "loss": 0.7987, + "step": 23619 + }, + { + "epoch": 0.69, + "learning_rate": 2.2620317194412378e-06, + "loss": 0.3795, + "step": 23620 + }, + { + "epoch": 0.69, + "learning_rate": 2.261633635451213e-06, + "loss": 0.6281, + "step": 23621 + }, + { + "epoch": 0.69, + "learning_rate": 2.2612355762549505e-06, + "loss": 0.6918, + "step": 23622 + }, + { + "epoch": 0.69, + "learning_rate": 2.260837541856047e-06, + "loss": 0.8917, + "step": 23623 + }, + { + "epoch": 0.69, + "learning_rate": 2.2604395322581153e-06, + "loss": 0.4028, + "step": 23624 + }, + { + "epoch": 0.69, + "learning_rate": 2.2600415474647526e-06, + "loss": 0.5773, + "step": 23625 + }, + { + "epoch": 0.69, + "learning_rate": 2.2596435874795665e-06, + "loss": 0.5633, + "step": 23626 + }, + { + "epoch": 0.69, + "learning_rate": 2.259245652306156e-06, + "loss": 0.7406, + "step": 23627 + }, + { + "epoch": 0.69, + "learning_rate": 2.258847741948129e-06, + "loss": 0.6037, + "step": 23628 + }, + { + "epoch": 0.69, + "learning_rate": 2.2584498564090833e-06, + "loss": 0.9079, + "step": 23629 + }, + { + "epoch": 0.69, + "learning_rate": 2.258051995692626e-06, + "loss": 0.8365, + "step": 23630 + }, + { + "epoch": 0.69, + "learning_rate": 2.2576541598023548e-06, + "loss": 0.6062, + "step": 23631 + }, + { + "epoch": 0.69, + "learning_rate": 2.2572563487418747e-06, + "loss": 0.8191, + "step": 23632 + }, + { + "epoch": 0.69, + "learning_rate": 2.2568585625147887e-06, + "loss": 0.6491, + "step": 23633 + }, + { + "epoch": 0.69, + "learning_rate": 2.2564608011246954e-06, + "loss": 0.6751, + "step": 23634 + }, + { + "epoch": 0.69, + "learning_rate": 2.2560630645751986e-06, + "loss": 0.8514, + "step": 23635 + }, + { + "epoch": 0.69, + "learning_rate": 2.255665352869897e-06, + "loss": 0.5702, + "step": 23636 + }, + { + "epoch": 0.69, + "learning_rate": 2.255267666012395e-06, + "loss": 0.6841, + "step": 23637 + }, + { + "epoch": 0.69, + "learning_rate": 2.2548700040062895e-06, + "loss": 0.5534, + "step": 23638 + }, + { + "epoch": 0.69, + "learning_rate": 2.254472366855185e-06, + "loss": 0.8555, + "step": 23639 + }, + { + "epoch": 0.69, + "learning_rate": 2.2540747545626775e-06, + "loss": 0.7326, + "step": 23640 + }, + { + "epoch": 0.69, + "learning_rate": 2.253677167132371e-06, + "loss": 1.0126, + "step": 23641 + }, + { + "epoch": 0.69, + "learning_rate": 2.25327960456786e-06, + "loss": 0.9407, + "step": 23642 + }, + { + "epoch": 0.69, + "learning_rate": 2.252882066872752e-06, + "loss": 0.6531, + "step": 23643 + }, + { + "epoch": 0.69, + "learning_rate": 2.2524845540506396e-06, + "loss": 0.6294, + "step": 23644 + }, + { + "epoch": 0.69, + "learning_rate": 2.252087066105127e-06, + "loss": 1.0315, + "step": 23645 + }, + { + "epoch": 0.69, + "learning_rate": 2.2516896030398085e-06, + "loss": 0.9522, + "step": 23646 + }, + { + "epoch": 0.69, + "learning_rate": 2.2512921648582865e-06, + "loss": 0.9004, + "step": 23647 + }, + { + "epoch": 0.69, + "learning_rate": 2.2508947515641566e-06, + "loss": 0.9871, + "step": 23648 + }, + { + "epoch": 0.69, + "learning_rate": 2.25049736316102e-06, + "loss": 0.7685, + "step": 23649 + }, + { + "epoch": 0.69, + "learning_rate": 2.2500999996524716e-06, + "loss": 0.6066, + "step": 23650 + }, + { + "epoch": 0.69, + "learning_rate": 2.249702661042112e-06, + "loss": 0.6021, + "step": 23651 + }, + { + "epoch": 0.69, + "learning_rate": 2.2493053473335364e-06, + "loss": 0.6496, + "step": 23652 + }, + { + "epoch": 0.69, + "learning_rate": 2.2489080585303426e-06, + "loss": 0.6765, + "step": 23653 + }, + { + "epoch": 0.69, + "learning_rate": 2.2485107946361308e-06, + "loss": 0.7958, + "step": 23654 + }, + { + "epoch": 0.69, + "learning_rate": 2.2481135556544937e-06, + "loss": 0.7699, + "step": 23655 + }, + { + "epoch": 0.69, + "learning_rate": 2.2477163415890318e-06, + "loss": 0.7515, + "step": 23656 + }, + { + "epoch": 0.7, + "learning_rate": 2.2473191524433376e-06, + "loss": 0.6632, + "step": 23657 + }, + { + "epoch": 0.7, + "learning_rate": 2.246921988221011e-06, + "loss": 0.742, + "step": 23658 + }, + { + "epoch": 0.7, + "learning_rate": 2.2465248489256447e-06, + "loss": 0.6902, + "step": 23659 + }, + { + "epoch": 0.7, + "learning_rate": 2.2461277345608383e-06, + "loss": 0.7156, + "step": 23660 + }, + { + "epoch": 0.7, + "learning_rate": 2.245730645130183e-06, + "loss": 0.6899, + "step": 23661 + }, + { + "epoch": 0.7, + "learning_rate": 2.245333580637277e-06, + "loss": 0.5427, + "step": 23662 + }, + { + "epoch": 0.7, + "learning_rate": 2.244936541085714e-06, + "loss": 0.8397, + "step": 23663 + }, + { + "epoch": 0.7, + "learning_rate": 2.2445395264790915e-06, + "loss": 0.7936, + "step": 23664 + }, + { + "epoch": 0.7, + "learning_rate": 2.2441425368210006e-06, + "loss": 0.5644, + "step": 23665 + }, + { + "epoch": 0.7, + "learning_rate": 2.2437455721150393e-06, + "loss": 0.833, + "step": 23666 + }, + { + "epoch": 0.7, + "learning_rate": 2.2433486323647985e-06, + "loss": 0.7046, + "step": 23667 + }, + { + "epoch": 0.7, + "learning_rate": 2.2429517175738746e-06, + "loss": 0.8362, + "step": 23668 + }, + { + "epoch": 0.7, + "learning_rate": 2.242554827745859e-06, + "loss": 0.8713, + "step": 23669 + }, + { + "epoch": 0.7, + "learning_rate": 2.2421579628843486e-06, + "loss": 0.7474, + "step": 23670 + }, + { + "epoch": 0.7, + "learning_rate": 2.2417611229929328e-06, + "loss": 0.5074, + "step": 23671 + }, + { + "epoch": 0.7, + "learning_rate": 2.2413643080752063e-06, + "loss": 0.9846, + "step": 23672 + }, + { + "epoch": 0.7, + "learning_rate": 2.2409675181347646e-06, + "loss": 0.6821, + "step": 23673 + }, + { + "epoch": 0.7, + "learning_rate": 2.240570753175195e-06, + "loss": 0.6284, + "step": 23674 + }, + { + "epoch": 0.7, + "learning_rate": 2.2401740132000953e-06, + "loss": 0.608, + "step": 23675 + }, + { + "epoch": 0.7, + "learning_rate": 2.239777298213054e-06, + "loss": 0.726, + "step": 23676 + }, + { + "epoch": 0.7, + "learning_rate": 2.239380608217665e-06, + "loss": 0.5078, + "step": 23677 + }, + { + "epoch": 0.7, + "learning_rate": 2.238983943217518e-06, + "loss": 0.5665, + "step": 23678 + }, + { + "epoch": 0.7, + "learning_rate": 2.2385873032162075e-06, + "loss": 0.6692, + "step": 23679 + }, + { + "epoch": 0.7, + "learning_rate": 2.238190688217321e-06, + "loss": 1.04, + "step": 23680 + }, + { + "epoch": 0.7, + "learning_rate": 2.237794098224454e-06, + "loss": 0.8092, + "step": 23681 + }, + { + "epoch": 0.7, + "learning_rate": 2.2373975332411903e-06, + "loss": 0.6645, + "step": 23682 + }, + { + "epoch": 0.7, + "learning_rate": 2.237000993271129e-06, + "loss": 0.544, + "step": 23683 + }, + { + "epoch": 0.7, + "learning_rate": 2.236604478317855e-06, + "loss": 0.6179, + "step": 23684 + }, + { + "epoch": 0.7, + "learning_rate": 2.2362079883849613e-06, + "loss": 0.6345, + "step": 23685 + }, + { + "epoch": 0.7, + "learning_rate": 2.2358115234760353e-06, + "loss": 0.8134, + "step": 23686 + }, + { + "epoch": 0.7, + "learning_rate": 2.235415083594669e-06, + "loss": 0.9492, + "step": 23687 + }, + { + "epoch": 0.7, + "learning_rate": 2.2350186687444494e-06, + "loss": 0.6564, + "step": 23688 + }, + { + "epoch": 0.7, + "learning_rate": 2.234622278928968e-06, + "loss": 0.6291, + "step": 23689 + }, + { + "epoch": 0.7, + "learning_rate": 2.2342259141518115e-06, + "loss": 0.599, + "step": 23690 + }, + { + "epoch": 0.7, + "learning_rate": 2.23382957441657e-06, + "loss": 0.6878, + "step": 23691 + }, + { + "epoch": 0.7, + "learning_rate": 2.233433259726833e-06, + "loss": 0.5887, + "step": 23692 + }, + { + "epoch": 0.7, + "learning_rate": 2.233036970086187e-06, + "loss": 0.6654, + "step": 23693 + }, + { + "epoch": 0.7, + "learning_rate": 2.2326407054982224e-06, + "loss": 0.3821, + "step": 23694 + }, + { + "epoch": 0.7, + "learning_rate": 2.232244465966524e-06, + "loss": 0.8459, + "step": 23695 + }, + { + "epoch": 0.7, + "learning_rate": 2.2318482514946827e-06, + "loss": 0.4357, + "step": 23696 + }, + { + "epoch": 0.7, + "learning_rate": 2.2314520620862823e-06, + "loss": 0.8955, + "step": 23697 + }, + { + "epoch": 0.7, + "learning_rate": 2.2310558977449135e-06, + "loss": 0.53, + "step": 23698 + }, + { + "epoch": 0.7, + "learning_rate": 2.2306597584741606e-06, + "loss": 0.5619, + "step": 23699 + }, + { + "epoch": 0.7, + "learning_rate": 2.230263644277613e-06, + "loss": 0.5937, + "step": 23700 + }, + { + "epoch": 0.7, + "learning_rate": 2.2298675551588515e-06, + "loss": 0.7798, + "step": 23701 + }, + { + "epoch": 0.7, + "learning_rate": 2.2294714911214705e-06, + "loss": 0.6476, + "step": 23702 + }, + { + "epoch": 0.7, + "learning_rate": 2.22907545216905e-06, + "loss": 1.0688, + "step": 23703 + }, + { + "epoch": 0.7, + "learning_rate": 2.22867943830518e-06, + "loss": 0.8191, + "step": 23704 + }, + { + "epoch": 0.7, + "learning_rate": 2.228283449533442e-06, + "loss": 0.5055, + "step": 23705 + }, + { + "epoch": 0.7, + "learning_rate": 2.227887485857425e-06, + "loss": 1.0154, + "step": 23706 + }, + { + "epoch": 0.7, + "learning_rate": 2.2274915472807107e-06, + "loss": 0.5326, + "step": 23707 + }, + { + "epoch": 0.7, + "learning_rate": 2.2270956338068878e-06, + "loss": 0.8278, + "step": 23708 + }, + { + "epoch": 0.7, + "learning_rate": 2.226699745439537e-06, + "loss": 0.6194, + "step": 23709 + }, + { + "epoch": 0.7, + "learning_rate": 2.2263038821822464e-06, + "loss": 0.9337, + "step": 23710 + }, + { + "epoch": 0.7, + "learning_rate": 2.2259080440385964e-06, + "loss": 0.7593, + "step": 23711 + }, + { + "epoch": 0.7, + "learning_rate": 2.225512231012174e-06, + "loss": 0.787, + "step": 23712 + }, + { + "epoch": 0.7, + "learning_rate": 2.2251164431065637e-06, + "loss": 0.7224, + "step": 23713 + }, + { + "epoch": 0.7, + "learning_rate": 2.224720680325345e-06, + "loss": 0.6294, + "step": 23714 + }, + { + "epoch": 0.7, + "learning_rate": 2.224324942672106e-06, + "loss": 0.6788, + "step": 23715 + }, + { + "epoch": 0.7, + "learning_rate": 2.223929230150426e-06, + "loss": 0.6967, + "step": 23716 + }, + { + "epoch": 0.7, + "learning_rate": 2.2235335427638906e-06, + "loss": 0.9143, + "step": 23717 + }, + { + "epoch": 0.7, + "learning_rate": 2.2231378805160795e-06, + "loss": 0.5988, + "step": 23718 + }, + { + "epoch": 0.7, + "learning_rate": 2.222742243410579e-06, + "loss": 0.6147, + "step": 23719 + }, + { + "epoch": 0.7, + "learning_rate": 2.2223466314509673e-06, + "loss": 0.7053, + "step": 23720 + }, + { + "epoch": 0.7, + "learning_rate": 2.221951044640828e-06, + "loss": 0.6087, + "step": 23721 + }, + { + "epoch": 0.7, + "learning_rate": 2.2215554829837425e-06, + "loss": 0.7734, + "step": 23722 + }, + { + "epoch": 0.7, + "learning_rate": 2.221159946483295e-06, + "loss": 0.8483, + "step": 23723 + }, + { + "epoch": 0.7, + "learning_rate": 2.220764435143063e-06, + "loss": 0.9573, + "step": 23724 + }, + { + "epoch": 0.7, + "learning_rate": 2.22036894896663e-06, + "loss": 0.436, + "step": 23725 + }, + { + "epoch": 0.7, + "learning_rate": 2.219973487957575e-06, + "loss": 0.5964, + "step": 23726 + }, + { + "epoch": 0.7, + "learning_rate": 2.219578052119481e-06, + "loss": 0.7377, + "step": 23727 + }, + { + "epoch": 0.7, + "learning_rate": 2.219182641455925e-06, + "loss": 0.9, + "step": 23728 + }, + { + "epoch": 0.7, + "learning_rate": 2.218787255970491e-06, + "loss": 0.3683, + "step": 23729 + }, + { + "epoch": 0.7, + "learning_rate": 2.218391895666755e-06, + "loss": 0.8235, + "step": 23730 + }, + { + "epoch": 0.7, + "learning_rate": 2.217996560548299e-06, + "loss": 0.8956, + "step": 23731 + }, + { + "epoch": 0.7, + "learning_rate": 2.217601250618703e-06, + "loss": 0.7449, + "step": 23732 + }, + { + "epoch": 0.7, + "learning_rate": 2.217205965881544e-06, + "loss": 0.803, + "step": 23733 + }, + { + "epoch": 0.7, + "learning_rate": 2.216810706340404e-06, + "loss": 0.526, + "step": 23734 + }, + { + "epoch": 0.7, + "learning_rate": 2.2164154719988585e-06, + "loss": 0.5409, + "step": 23735 + }, + { + "epoch": 0.7, + "learning_rate": 2.216020262860489e-06, + "loss": 0.9925, + "step": 23736 + }, + { + "epoch": 0.7, + "learning_rate": 2.2156250789288704e-06, + "loss": 0.7594, + "step": 23737 + }, + { + "epoch": 0.7, + "learning_rate": 2.2152299202075846e-06, + "loss": 0.5517, + "step": 23738 + }, + { + "epoch": 0.7, + "learning_rate": 2.214834786700206e-06, + "loss": 0.4078, + "step": 23739 + }, + { + "epoch": 0.7, + "learning_rate": 2.214439678410315e-06, + "loss": 0.6428, + "step": 23740 + }, + { + "epoch": 0.7, + "learning_rate": 2.214044595341485e-06, + "loss": 0.645, + "step": 23741 + }, + { + "epoch": 0.7, + "learning_rate": 2.2136495374972993e-06, + "loss": 0.6238, + "step": 23742 + }, + { + "epoch": 0.7, + "learning_rate": 2.21325450488133e-06, + "loss": 0.7706, + "step": 23743 + }, + { + "epoch": 0.7, + "learning_rate": 2.212859497497156e-06, + "loss": 0.8024, + "step": 23744 + }, + { + "epoch": 0.7, + "learning_rate": 2.2124645153483526e-06, + "loss": 0.6805, + "step": 23745 + }, + { + "epoch": 0.7, + "learning_rate": 2.212069558438498e-06, + "loss": 0.7464, + "step": 23746 + }, + { + "epoch": 0.7, + "learning_rate": 2.2116746267711646e-06, + "loss": 1.2152, + "step": 23747 + }, + { + "epoch": 0.7, + "learning_rate": 2.2112797203499326e-06, + "loss": 0.8051, + "step": 23748 + }, + { + "epoch": 0.7, + "learning_rate": 2.2108848391783733e-06, + "loss": 0.6021, + "step": 23749 + }, + { + "epoch": 0.7, + "learning_rate": 2.2104899832600663e-06, + "loss": 0.5074, + "step": 23750 + }, + { + "epoch": 0.7, + "learning_rate": 2.210095152598582e-06, + "loss": 0.5683, + "step": 23751 + }, + { + "epoch": 0.7, + "learning_rate": 2.2097003471974983e-06, + "loss": 0.9015, + "step": 23752 + }, + { + "epoch": 0.7, + "learning_rate": 2.2093055670603915e-06, + "loss": 0.7322, + "step": 23753 + }, + { + "epoch": 0.7, + "learning_rate": 2.208910812190831e-06, + "loss": 0.7392, + "step": 23754 + }, + { + "epoch": 0.7, + "learning_rate": 2.2085160825923964e-06, + "loss": 1.1037, + "step": 23755 + }, + { + "epoch": 0.7, + "learning_rate": 2.208121378268657e-06, + "loss": 0.9989, + "step": 23756 + }, + { + "epoch": 0.7, + "learning_rate": 2.207726699223191e-06, + "loss": 0.8387, + "step": 23757 + }, + { + "epoch": 0.7, + "learning_rate": 2.207332045459567e-06, + "loss": 0.9722, + "step": 23758 + }, + { + "epoch": 0.7, + "learning_rate": 2.2069374169813633e-06, + "loss": 0.7742, + "step": 23759 + }, + { + "epoch": 0.7, + "learning_rate": 2.2065428137921462e-06, + "loss": 0.8549, + "step": 23760 + }, + { + "epoch": 0.7, + "learning_rate": 2.2061482358954973e-06, + "loss": 0.6377, + "step": 23761 + }, + { + "epoch": 0.7, + "learning_rate": 2.205753683294982e-06, + "loss": 0.7933, + "step": 23762 + }, + { + "epoch": 0.7, + "learning_rate": 2.2053591559941785e-06, + "loss": 0.7313, + "step": 23763 + }, + { + "epoch": 0.7, + "learning_rate": 2.204964653996653e-06, + "loss": 0.5001, + "step": 23764 + }, + { + "epoch": 0.7, + "learning_rate": 2.204570177305982e-06, + "loss": 0.7229, + "step": 23765 + }, + { + "epoch": 0.7, + "learning_rate": 2.204175725925734e-06, + "loss": 0.8069, + "step": 23766 + }, + { + "epoch": 0.7, + "learning_rate": 2.203781299859483e-06, + "loss": 0.6317, + "step": 23767 + }, + { + "epoch": 0.7, + "learning_rate": 2.2033868991107982e-06, + "loss": 0.7569, + "step": 23768 + }, + { + "epoch": 0.7, + "learning_rate": 2.2029925236832528e-06, + "loss": 0.8289, + "step": 23769 + }, + { + "epoch": 0.7, + "learning_rate": 2.202598173580414e-06, + "loss": 0.6401, + "step": 23770 + }, + { + "epoch": 0.7, + "learning_rate": 2.202203848805855e-06, + "loss": 0.8457, + "step": 23771 + }, + { + "epoch": 0.7, + "learning_rate": 2.2018095493631476e-06, + "loss": 0.7964, + "step": 23772 + }, + { + "epoch": 0.7, + "learning_rate": 2.201415275255858e-06, + "loss": 0.6939, + "step": 23773 + }, + { + "epoch": 0.7, + "learning_rate": 2.20102102648756e-06, + "loss": 0.5336, + "step": 23774 + }, + { + "epoch": 0.7, + "learning_rate": 2.2006268030618187e-06, + "loss": 1.0712, + "step": 23775 + }, + { + "epoch": 0.7, + "learning_rate": 2.200232604982208e-06, + "loss": 0.5496, + "step": 23776 + }, + { + "epoch": 0.7, + "learning_rate": 2.1998384322522936e-06, + "loss": 0.5126, + "step": 23777 + }, + { + "epoch": 0.7, + "learning_rate": 2.1994442848756476e-06, + "loss": 0.6547, + "step": 23778 + }, + { + "epoch": 0.7, + "learning_rate": 2.1990501628558346e-06, + "loss": 0.6801, + "step": 23779 + }, + { + "epoch": 0.7, + "learning_rate": 2.1986560661964256e-06, + "loss": 0.7548, + "step": 23780 + }, + { + "epoch": 0.7, + "learning_rate": 2.1982619949009887e-06, + "loss": 0.8026, + "step": 23781 + }, + { + "epoch": 0.7, + "learning_rate": 2.197867948973094e-06, + "loss": 0.795, + "step": 23782 + }, + { + "epoch": 0.7, + "learning_rate": 2.197473928416305e-06, + "loss": 0.7484, + "step": 23783 + }, + { + "epoch": 0.7, + "learning_rate": 2.197079933234193e-06, + "loss": 0.6492, + "step": 23784 + }, + { + "epoch": 0.7, + "learning_rate": 2.196685963430322e-06, + "loss": 0.6108, + "step": 23785 + }, + { + "epoch": 0.7, + "learning_rate": 2.196292019008263e-06, + "loss": 0.7334, + "step": 23786 + }, + { + "epoch": 0.7, + "learning_rate": 2.1958980999715786e-06, + "loss": 0.742, + "step": 23787 + }, + { + "epoch": 0.7, + "learning_rate": 2.195504206323839e-06, + "loss": 0.8617, + "step": 23788 + }, + { + "epoch": 0.7, + "learning_rate": 2.195110338068607e-06, + "loss": 0.8276, + "step": 23789 + }, + { + "epoch": 0.7, + "learning_rate": 2.1947164952094515e-06, + "loss": 0.8393, + "step": 23790 + }, + { + "epoch": 0.7, + "learning_rate": 2.194322677749939e-06, + "loss": 0.7908, + "step": 23791 + }, + { + "epoch": 0.7, + "learning_rate": 2.1939288856936327e-06, + "loss": 0.663, + "step": 23792 + }, + { + "epoch": 0.7, + "learning_rate": 2.193535119044101e-06, + "loss": 0.8135, + "step": 23793 + }, + { + "epoch": 0.7, + "learning_rate": 2.1931413778049056e-06, + "loss": 0.7476, + "step": 23794 + }, + { + "epoch": 0.7, + "learning_rate": 2.192747661979615e-06, + "loss": 0.565, + "step": 23795 + }, + { + "epoch": 0.7, + "learning_rate": 2.1923539715717913e-06, + "loss": 0.6692, + "step": 23796 + }, + { + "epoch": 0.7, + "learning_rate": 2.1919603065850013e-06, + "loss": 0.6921, + "step": 23797 + }, + { + "epoch": 0.7, + "learning_rate": 2.1915666670228066e-06, + "loss": 0.7112, + "step": 23798 + }, + { + "epoch": 0.7, + "learning_rate": 2.1911730528887747e-06, + "loss": 0.8928, + "step": 23799 + }, + { + "epoch": 0.7, + "learning_rate": 2.1907794641864636e-06, + "loss": 0.6203, + "step": 23800 + }, + { + "epoch": 0.7, + "learning_rate": 2.190385900919445e-06, + "loss": 0.8936, + "step": 23801 + }, + { + "epoch": 0.7, + "learning_rate": 2.189992363091277e-06, + "loss": 0.6522, + "step": 23802 + }, + { + "epoch": 0.7, + "learning_rate": 2.189598850705525e-06, + "loss": 0.7093, + "step": 23803 + }, + { + "epoch": 0.7, + "learning_rate": 2.1892053637657494e-06, + "loss": 0.7182, + "step": 23804 + }, + { + "epoch": 0.7, + "learning_rate": 2.1888119022755173e-06, + "loss": 0.7401, + "step": 23805 + }, + { + "epoch": 0.7, + "learning_rate": 2.1884184662383855e-06, + "loss": 0.8841, + "step": 23806 + }, + { + "epoch": 0.7, + "learning_rate": 2.1880250556579214e-06, + "loss": 0.569, + "step": 23807 + }, + { + "epoch": 0.7, + "learning_rate": 2.1876316705376825e-06, + "loss": 0.8588, + "step": 23808 + }, + { + "epoch": 0.7, + "learning_rate": 2.1872383108812356e-06, + "loss": 0.5218, + "step": 23809 + }, + { + "epoch": 0.7, + "learning_rate": 2.1868449766921374e-06, + "loss": 0.4812, + "step": 23810 + }, + { + "epoch": 0.7, + "learning_rate": 2.186451667973951e-06, + "loss": 0.5938, + "step": 23811 + }, + { + "epoch": 0.7, + "learning_rate": 2.18605838473024e-06, + "loss": 0.6565, + "step": 23812 + }, + { + "epoch": 0.7, + "learning_rate": 2.1856651269645613e-06, + "loss": 0.7002, + "step": 23813 + }, + { + "epoch": 0.7, + "learning_rate": 2.185271894680479e-06, + "loss": 0.651, + "step": 23814 + }, + { + "epoch": 0.7, + "learning_rate": 2.1848786878815507e-06, + "loss": 0.6193, + "step": 23815 + }, + { + "epoch": 0.7, + "learning_rate": 2.1844855065713396e-06, + "loss": 0.6951, + "step": 23816 + }, + { + "epoch": 0.7, + "learning_rate": 2.184092350753401e-06, + "loss": 0.6822, + "step": 23817 + }, + { + "epoch": 0.7, + "learning_rate": 2.1836992204313e-06, + "loss": 0.649, + "step": 23818 + }, + { + "epoch": 0.7, + "learning_rate": 2.18330611560859e-06, + "loss": 0.7557, + "step": 23819 + }, + { + "epoch": 0.7, + "learning_rate": 2.182913036288837e-06, + "loss": 0.6007, + "step": 23820 + }, + { + "epoch": 0.7, + "learning_rate": 2.1825199824755956e-06, + "loss": 0.9141, + "step": 23821 + }, + { + "epoch": 0.7, + "learning_rate": 2.182126954172427e-06, + "loss": 0.7856, + "step": 23822 + }, + { + "epoch": 0.7, + "learning_rate": 2.181733951382888e-06, + "loss": 0.7606, + "step": 23823 + }, + { + "epoch": 0.7, + "learning_rate": 2.1813409741105378e-06, + "loss": 0.8801, + "step": 23824 + }, + { + "epoch": 0.7, + "learning_rate": 2.180948022358933e-06, + "loss": 0.7518, + "step": 23825 + }, + { + "epoch": 0.7, + "learning_rate": 2.1805550961316345e-06, + "loss": 0.9634, + "step": 23826 + }, + { + "epoch": 0.7, + "learning_rate": 2.1801621954321965e-06, + "loss": 0.8107, + "step": 23827 + }, + { + "epoch": 0.7, + "learning_rate": 2.1797693202641794e-06, + "loss": 0.6142, + "step": 23828 + }, + { + "epoch": 0.7, + "learning_rate": 2.1793764706311376e-06, + "loss": 0.5752, + "step": 23829 + }, + { + "epoch": 0.7, + "learning_rate": 2.1789836465366297e-06, + "loss": 0.5771, + "step": 23830 + }, + { + "epoch": 0.7, + "learning_rate": 2.1785908479842135e-06, + "loss": 0.7237, + "step": 23831 + }, + { + "epoch": 0.7, + "learning_rate": 2.1781980749774423e-06, + "loss": 0.6406, + "step": 23832 + }, + { + "epoch": 0.7, + "learning_rate": 2.1778053275198763e-06, + "loss": 0.6087, + "step": 23833 + }, + { + "epoch": 0.7, + "learning_rate": 2.1774126056150675e-06, + "loss": 0.5525, + "step": 23834 + }, + { + "epoch": 0.7, + "learning_rate": 2.1770199092665754e-06, + "loss": 0.7334, + "step": 23835 + }, + { + "epoch": 0.7, + "learning_rate": 2.176627238477952e-06, + "loss": 0.725, + "step": 23836 + }, + { + "epoch": 0.7, + "learning_rate": 2.1762345932527564e-06, + "loss": 0.5395, + "step": 23837 + }, + { + "epoch": 0.7, + "learning_rate": 2.1758419735945397e-06, + "loss": 0.8413, + "step": 23838 + }, + { + "epoch": 0.7, + "learning_rate": 2.175449379506858e-06, + "loss": 0.587, + "step": 23839 + }, + { + "epoch": 0.7, + "learning_rate": 2.175056810993268e-06, + "loss": 0.8527, + "step": 23840 + }, + { + "epoch": 0.7, + "learning_rate": 2.174664268057324e-06, + "loss": 0.7563, + "step": 23841 + }, + { + "epoch": 0.7, + "learning_rate": 2.174271750702577e-06, + "loss": 0.6911, + "step": 23842 + }, + { + "epoch": 0.7, + "learning_rate": 2.1738792589325845e-06, + "loss": 0.8233, + "step": 23843 + }, + { + "epoch": 0.7, + "learning_rate": 2.1734867927508972e-06, + "loss": 0.7171, + "step": 23844 + }, + { + "epoch": 0.7, + "learning_rate": 2.173094352161072e-06, + "loss": 0.6083, + "step": 23845 + }, + { + "epoch": 0.7, + "learning_rate": 2.172701937166658e-06, + "loss": 0.613, + "step": 23846 + }, + { + "epoch": 0.7, + "learning_rate": 2.172309547771212e-06, + "loss": 0.7297, + "step": 23847 + }, + { + "epoch": 0.7, + "learning_rate": 2.1719171839782833e-06, + "loss": 0.4511, + "step": 23848 + }, + { + "epoch": 0.7, + "learning_rate": 2.171524845791426e-06, + "loss": 0.7557, + "step": 23849 + }, + { + "epoch": 0.7, + "learning_rate": 2.171132533214195e-06, + "loss": 0.6657, + "step": 23850 + }, + { + "epoch": 0.7, + "learning_rate": 2.170740246250138e-06, + "loss": 0.6872, + "step": 23851 + }, + { + "epoch": 0.7, + "learning_rate": 2.1703479849028107e-06, + "loss": 0.5474, + "step": 23852 + }, + { + "epoch": 0.7, + "learning_rate": 2.1699557491757613e-06, + "loss": 0.5168, + "step": 23853 + }, + { + "epoch": 0.7, + "learning_rate": 2.1695635390725445e-06, + "loss": 0.6288, + "step": 23854 + }, + { + "epoch": 0.7, + "learning_rate": 2.169171354596708e-06, + "loss": 0.813, + "step": 23855 + }, + { + "epoch": 0.7, + "learning_rate": 2.168779195751806e-06, + "loss": 0.7722, + "step": 23856 + }, + { + "epoch": 0.7, + "learning_rate": 2.168387062541386e-06, + "loss": 0.7191, + "step": 23857 + }, + { + "epoch": 0.7, + "learning_rate": 2.1679949549690022e-06, + "loss": 0.6069, + "step": 23858 + }, + { + "epoch": 0.7, + "learning_rate": 2.1676028730381986e-06, + "loss": 0.6689, + "step": 23859 + }, + { + "epoch": 0.7, + "learning_rate": 2.1672108167525333e-06, + "loss": 0.6557, + "step": 23860 + }, + { + "epoch": 0.7, + "learning_rate": 2.1668187861155504e-06, + "loss": 0.6049, + "step": 23861 + }, + { + "epoch": 0.7, + "learning_rate": 2.166426781130803e-06, + "loss": 0.6848, + "step": 23862 + }, + { + "epoch": 0.7, + "learning_rate": 2.166034801801836e-06, + "loss": 0.8098, + "step": 23863 + }, + { + "epoch": 0.7, + "learning_rate": 2.1656428481322033e-06, + "loss": 0.6112, + "step": 23864 + }, + { + "epoch": 0.7, + "learning_rate": 2.1652509201254503e-06, + "loss": 0.7503, + "step": 23865 + }, + { + "epoch": 0.7, + "learning_rate": 2.1648590177851277e-06, + "loss": 0.6787, + "step": 23866 + }, + { + "epoch": 0.7, + "learning_rate": 2.164467141114781e-06, + "loss": 0.5481, + "step": 23867 + }, + { + "epoch": 0.7, + "learning_rate": 2.164075290117962e-06, + "loss": 0.7853, + "step": 23868 + }, + { + "epoch": 0.7, + "learning_rate": 2.163683464798214e-06, + "loss": 0.5728, + "step": 23869 + }, + { + "epoch": 0.7, + "learning_rate": 2.163291665159091e-06, + "loss": 0.8577, + "step": 23870 + }, + { + "epoch": 0.7, + "learning_rate": 2.1628998912041343e-06, + "loss": 0.9712, + "step": 23871 + }, + { + "epoch": 0.7, + "learning_rate": 2.1625081429368965e-06, + "loss": 0.5441, + "step": 23872 + }, + { + "epoch": 0.7, + "learning_rate": 2.1621164203609215e-06, + "loss": 0.7666, + "step": 23873 + }, + { + "epoch": 0.7, + "learning_rate": 2.1617247234797544e-06, + "loss": 0.7956, + "step": 23874 + }, + { + "epoch": 0.7, + "learning_rate": 2.1613330522969456e-06, + "loss": 0.5436, + "step": 23875 + }, + { + "epoch": 0.7, + "learning_rate": 2.160941406816038e-06, + "loss": 0.8191, + "step": 23876 + }, + { + "epoch": 0.7, + "learning_rate": 2.16054978704058e-06, + "loss": 0.6061, + "step": 23877 + }, + { + "epoch": 0.7, + "learning_rate": 2.1601581929741155e-06, + "loss": 0.6527, + "step": 23878 + }, + { + "epoch": 0.7, + "learning_rate": 2.1597666246201904e-06, + "loss": 0.8505, + "step": 23879 + }, + { + "epoch": 0.7, + "learning_rate": 2.1593750819823513e-06, + "loss": 0.7432, + "step": 23880 + }, + { + "epoch": 0.7, + "learning_rate": 2.1589835650641445e-06, + "loss": 0.7391, + "step": 23881 + }, + { + "epoch": 0.7, + "learning_rate": 2.158592073869111e-06, + "loss": 0.7247, + "step": 23882 + }, + { + "epoch": 0.7, + "learning_rate": 2.1582006084007995e-06, + "loss": 0.927, + "step": 23883 + }, + { + "epoch": 0.7, + "learning_rate": 2.1578091686627513e-06, + "loss": 0.789, + "step": 23884 + }, + { + "epoch": 0.7, + "learning_rate": 2.1574177546585128e-06, + "loss": 0.786, + "step": 23885 + }, + { + "epoch": 0.7, + "learning_rate": 2.1570263663916252e-06, + "loss": 0.7771, + "step": 23886 + }, + { + "epoch": 0.7, + "learning_rate": 2.1566350038656357e-06, + "loss": 0.7089, + "step": 23887 + }, + { + "epoch": 0.7, + "learning_rate": 2.1562436670840823e-06, + "loss": 0.772, + "step": 23888 + }, + { + "epoch": 0.7, + "learning_rate": 2.155852356050516e-06, + "loss": 0.6406, + "step": 23889 + }, + { + "epoch": 0.7, + "learning_rate": 2.1554610707684736e-06, + "loss": 0.7165, + "step": 23890 + }, + { + "epoch": 0.7, + "learning_rate": 2.155069811241502e-06, + "loss": 0.7374, + "step": 23891 + }, + { + "epoch": 0.7, + "learning_rate": 2.15467857747314e-06, + "loss": 0.6313, + "step": 23892 + }, + { + "epoch": 0.7, + "learning_rate": 2.1542873694669338e-06, + "loss": 0.2998, + "step": 23893 + }, + { + "epoch": 0.7, + "learning_rate": 2.153896187226421e-06, + "loss": 0.7682, + "step": 23894 + }, + { + "epoch": 0.7, + "learning_rate": 2.153505030755148e-06, + "loss": 0.6842, + "step": 23895 + }, + { + "epoch": 0.7, + "learning_rate": 2.153113900056652e-06, + "loss": 0.7558, + "step": 23896 + }, + { + "epoch": 0.7, + "learning_rate": 2.152722795134479e-06, + "loss": 0.5242, + "step": 23897 + }, + { + "epoch": 0.7, + "learning_rate": 2.1523317159921658e-06, + "loss": 0.7676, + "step": 23898 + }, + { + "epoch": 0.7, + "learning_rate": 2.151940662633255e-06, + "loss": 0.5608, + "step": 23899 + }, + { + "epoch": 0.7, + "learning_rate": 2.15154963506129e-06, + "loss": 0.7596, + "step": 23900 + }, + { + "epoch": 0.7, + "learning_rate": 2.1511586332798063e-06, + "loss": 0.8616, + "step": 23901 + }, + { + "epoch": 0.7, + "learning_rate": 2.1507676572923493e-06, + "loss": 0.6306, + "step": 23902 + }, + { + "epoch": 0.7, + "learning_rate": 2.1503767071024534e-06, + "loss": 0.6111, + "step": 23903 + }, + { + "epoch": 0.7, + "learning_rate": 2.149985782713664e-06, + "loss": 0.8685, + "step": 23904 + }, + { + "epoch": 0.7, + "learning_rate": 2.1495948841295154e-06, + "loss": 0.6096, + "step": 23905 + }, + { + "epoch": 0.7, + "learning_rate": 2.149204011353552e-06, + "loss": 1.2051, + "step": 23906 + }, + { + "epoch": 0.7, + "learning_rate": 2.1488131643893073e-06, + "loss": 0.7956, + "step": 23907 + }, + { + "epoch": 0.7, + "learning_rate": 2.148422343240324e-06, + "loss": 0.6473, + "step": 23908 + }, + { + "epoch": 0.7, + "learning_rate": 2.1480315479101392e-06, + "loss": 0.6213, + "step": 23909 + }, + { + "epoch": 0.7, + "learning_rate": 2.1476407784022935e-06, + "loss": 0.933, + "step": 23910 + }, + { + "epoch": 0.7, + "learning_rate": 2.147250034720322e-06, + "loss": 0.7978, + "step": 23911 + }, + { + "epoch": 0.7, + "learning_rate": 2.146859316867765e-06, + "loss": 0.5626, + "step": 23912 + }, + { + "epoch": 0.7, + "learning_rate": 2.1464686248481576e-06, + "loss": 0.691, + "step": 23913 + }, + { + "epoch": 0.7, + "learning_rate": 2.14607795866504e-06, + "loss": 0.5329, + "step": 23914 + }, + { + "epoch": 0.7, + "learning_rate": 2.1456873183219462e-06, + "loss": 0.9324, + "step": 23915 + }, + { + "epoch": 0.7, + "learning_rate": 2.145296703822417e-06, + "loss": 0.7965, + "step": 23916 + }, + { + "epoch": 0.7, + "learning_rate": 2.144906115169985e-06, + "loss": 0.7063, + "step": 23917 + }, + { + "epoch": 0.7, + "learning_rate": 2.1445155523681888e-06, + "loss": 0.7534, + "step": 23918 + }, + { + "epoch": 0.7, + "learning_rate": 2.144125015420566e-06, + "loss": 0.5151, + "step": 23919 + }, + { + "epoch": 0.7, + "learning_rate": 2.14373450433065e-06, + "loss": 0.688, + "step": 23920 + }, + { + "epoch": 0.7, + "learning_rate": 2.143344019101979e-06, + "loss": 0.8526, + "step": 23921 + }, + { + "epoch": 0.7, + "learning_rate": 2.1429535597380857e-06, + "loss": 0.7193, + "step": 23922 + }, + { + "epoch": 0.7, + "learning_rate": 2.1425631262425084e-06, + "loss": 0.9208, + "step": 23923 + }, + { + "epoch": 0.7, + "learning_rate": 2.142172718618779e-06, + "loss": 0.6493, + "step": 23924 + }, + { + "epoch": 0.7, + "learning_rate": 2.141782336870436e-06, + "loss": 0.8068, + "step": 23925 + }, + { + "epoch": 0.7, + "learning_rate": 2.1413919810010105e-06, + "loss": 0.622, + "step": 23926 + }, + { + "epoch": 0.7, + "learning_rate": 2.1410016510140397e-06, + "loss": 0.7077, + "step": 23927 + }, + { + "epoch": 0.7, + "learning_rate": 2.1406113469130534e-06, + "loss": 0.8103, + "step": 23928 + }, + { + "epoch": 0.7, + "learning_rate": 2.140221068701592e-06, + "loss": 0.9021, + "step": 23929 + }, + { + "epoch": 0.7, + "learning_rate": 2.139830816383183e-06, + "loss": 0.7164, + "step": 23930 + }, + { + "epoch": 0.7, + "learning_rate": 2.139440589961366e-06, + "loss": 0.7895, + "step": 23931 + }, + { + "epoch": 0.7, + "learning_rate": 2.1390503894396676e-06, + "loss": 0.7364, + "step": 23932 + }, + { + "epoch": 0.7, + "learning_rate": 2.1386602148216256e-06, + "loss": 0.604, + "step": 23933 + }, + { + "epoch": 0.7, + "learning_rate": 2.1382700661107703e-06, + "loss": 0.6551, + "step": 23934 + }, + { + "epoch": 0.7, + "learning_rate": 2.1378799433106354e-06, + "loss": 0.7335, + "step": 23935 + }, + { + "epoch": 0.7, + "learning_rate": 2.137489846424752e-06, + "loss": 0.7397, + "step": 23936 + }, + { + "epoch": 0.7, + "learning_rate": 2.137099775456654e-06, + "loss": 0.9334, + "step": 23937 + }, + { + "epoch": 0.7, + "learning_rate": 2.1367097304098705e-06, + "loss": 0.9154, + "step": 23938 + }, + { + "epoch": 0.7, + "learning_rate": 2.1363197112879343e-06, + "loss": 0.7864, + "step": 23939 + }, + { + "epoch": 0.7, + "learning_rate": 2.1359297180943787e-06, + "loss": 0.5864, + "step": 23940 + }, + { + "epoch": 0.7, + "learning_rate": 2.1355397508327313e-06, + "loss": 0.6965, + "step": 23941 + }, + { + "epoch": 0.7, + "learning_rate": 2.1351498095065264e-06, + "loss": 0.4622, + "step": 23942 + }, + { + "epoch": 0.7, + "learning_rate": 2.134759894119291e-06, + "loss": 0.6871, + "step": 23943 + }, + { + "epoch": 0.7, + "learning_rate": 2.134370004674559e-06, + "loss": 0.6387, + "step": 23944 + }, + { + "epoch": 0.7, + "learning_rate": 2.1339801411758577e-06, + "loss": 0.8068, + "step": 23945 + }, + { + "epoch": 0.7, + "learning_rate": 2.1335903036267195e-06, + "loss": 0.57, + "step": 23946 + }, + { + "epoch": 0.7, + "learning_rate": 2.1332004920306713e-06, + "loss": 0.6514, + "step": 23947 + }, + { + "epoch": 0.7, + "learning_rate": 2.132810706391244e-06, + "loss": 0.4999, + "step": 23948 + }, + { + "epoch": 0.7, + "learning_rate": 2.132420946711967e-06, + "loss": 0.9997, + "step": 23949 + }, + { + "epoch": 0.7, + "learning_rate": 2.1320312129963706e-06, + "loss": 0.6311, + "step": 23950 + }, + { + "epoch": 0.7, + "learning_rate": 2.13164150524798e-06, + "loss": 0.5788, + "step": 23951 + }, + { + "epoch": 0.7, + "learning_rate": 2.131251823470328e-06, + "loss": 0.8312, + "step": 23952 + }, + { + "epoch": 0.7, + "learning_rate": 2.1308621676669384e-06, + "loss": 0.6179, + "step": 23953 + }, + { + "epoch": 0.7, + "learning_rate": 2.1304725378413434e-06, + "loss": 0.7296, + "step": 23954 + }, + { + "epoch": 0.7, + "learning_rate": 2.130082933997067e-06, + "loss": 0.6197, + "step": 23955 + }, + { + "epoch": 0.7, + "learning_rate": 2.1296933561376405e-06, + "loss": 0.5703, + "step": 23956 + }, + { + "epoch": 0.7, + "learning_rate": 2.129303804266587e-06, + "loss": 0.7239, + "step": 23957 + }, + { + "epoch": 0.7, + "learning_rate": 2.1289142783874362e-06, + "loss": 1.0056, + "step": 23958 + }, + { + "epoch": 0.7, + "learning_rate": 2.1285247785037164e-06, + "loss": 0.7253, + "step": 23959 + }, + { + "epoch": 0.7, + "learning_rate": 2.128135304618951e-06, + "loss": 0.6854, + "step": 23960 + }, + { + "epoch": 0.7, + "learning_rate": 2.1277458567366687e-06, + "loss": 0.6884, + "step": 23961 + }, + { + "epoch": 0.7, + "learning_rate": 2.1273564348603935e-06, + "loss": 0.6033, + "step": 23962 + }, + { + "epoch": 0.7, + "learning_rate": 2.1269670389936546e-06, + "loss": 0.7577, + "step": 23963 + }, + { + "epoch": 0.7, + "learning_rate": 2.1265776691399738e-06, + "loss": 0.8081, + "step": 23964 + }, + { + "epoch": 0.7, + "learning_rate": 2.12618832530288e-06, + "loss": 0.6607, + "step": 23965 + }, + { + "epoch": 0.7, + "learning_rate": 2.125799007485895e-06, + "loss": 0.7002, + "step": 23966 + }, + { + "epoch": 0.7, + "learning_rate": 2.1254097156925458e-06, + "loss": 0.6033, + "step": 23967 + }, + { + "epoch": 0.7, + "learning_rate": 2.1250204499263567e-06, + "loss": 0.5862, + "step": 23968 + }, + { + "epoch": 0.7, + "learning_rate": 2.1246312101908538e-06, + "loss": 0.9816, + "step": 23969 + }, + { + "epoch": 0.7, + "learning_rate": 2.124241996489559e-06, + "loss": 0.6977, + "step": 23970 + }, + { + "epoch": 0.7, + "learning_rate": 2.123852808825998e-06, + "loss": 0.9184, + "step": 23971 + }, + { + "epoch": 0.7, + "learning_rate": 2.123463647203693e-06, + "loss": 0.8063, + "step": 23972 + }, + { + "epoch": 0.7, + "learning_rate": 2.1230745116261696e-06, + "loss": 0.6082, + "step": 23973 + }, + { + "epoch": 0.7, + "learning_rate": 2.1226854020969482e-06, + "loss": 0.7196, + "step": 23974 + }, + { + "epoch": 0.7, + "learning_rate": 2.1222963186195563e-06, + "loss": 0.9169, + "step": 23975 + }, + { + "epoch": 0.7, + "learning_rate": 2.121907261197511e-06, + "loss": 0.8124, + "step": 23976 + }, + { + "epoch": 0.7, + "learning_rate": 2.1215182298343388e-06, + "loss": 0.7795, + "step": 23977 + }, + { + "epoch": 0.7, + "learning_rate": 2.121129224533563e-06, + "loss": 0.642, + "step": 23978 + }, + { + "epoch": 0.7, + "learning_rate": 2.120740245298702e-06, + "loss": 0.6968, + "step": 23979 + }, + { + "epoch": 0.7, + "learning_rate": 2.1203512921332815e-06, + "loss": 0.6909, + "step": 23980 + }, + { + "epoch": 0.7, + "learning_rate": 2.119962365040819e-06, + "loss": 0.6587, + "step": 23981 + }, + { + "epoch": 0.7, + "learning_rate": 2.1195734640248404e-06, + "loss": 0.7718, + "step": 23982 + }, + { + "epoch": 0.7, + "learning_rate": 2.1191845890888634e-06, + "loss": 0.5825, + "step": 23983 + }, + { + "epoch": 0.7, + "learning_rate": 2.1187957402364117e-06, + "loss": 0.7923, + "step": 23984 + }, + { + "epoch": 0.7, + "learning_rate": 2.118406917471003e-06, + "loss": 0.6826, + "step": 23985 + }, + { + "epoch": 0.7, + "learning_rate": 2.1180181207961614e-06, + "loss": 0.4699, + "step": 23986 + }, + { + "epoch": 0.7, + "learning_rate": 2.1176293502154016e-06, + "loss": 0.9361, + "step": 23987 + }, + { + "epoch": 0.7, + "learning_rate": 2.1172406057322503e-06, + "loss": 0.44, + "step": 23988 + }, + { + "epoch": 0.7, + "learning_rate": 2.116851887350223e-06, + "loss": 0.7061, + "step": 23989 + }, + { + "epoch": 0.7, + "learning_rate": 2.116463195072842e-06, + "loss": 1.0066, + "step": 23990 + }, + { + "epoch": 0.7, + "learning_rate": 2.1160745289036227e-06, + "loss": 0.7255, + "step": 23991 + }, + { + "epoch": 0.7, + "learning_rate": 2.115685888846089e-06, + "loss": 0.7472, + "step": 23992 + }, + { + "epoch": 0.7, + "learning_rate": 2.1152972749037553e-06, + "loss": 0.7301, + "step": 23993 + }, + { + "epoch": 0.7, + "learning_rate": 2.1149086870801434e-06, + "loss": 0.8347, + "step": 23994 + }, + { + "epoch": 0.7, + "learning_rate": 2.114520125378769e-06, + "loss": 0.8861, + "step": 23995 + }, + { + "epoch": 0.7, + "learning_rate": 2.114131589803153e-06, + "loss": 0.7396, + "step": 23996 + }, + { + "epoch": 0.71, + "learning_rate": 2.113743080356811e-06, + "loss": 0.4322, + "step": 23997 + }, + { + "epoch": 0.71, + "learning_rate": 2.1133545970432604e-06, + "loss": 0.7413, + "step": 23998 + }, + { + "epoch": 0.71, + "learning_rate": 2.112966139866022e-06, + "loss": 0.4171, + "step": 23999 + }, + { + "epoch": 0.71, + "learning_rate": 2.112577708828609e-06, + "loss": 0.918, + "step": 24000 + }, + { + "epoch": 0.71, + "learning_rate": 2.112189303934542e-06, + "loss": 0.5967, + "step": 24001 + }, + { + "epoch": 0.71, + "learning_rate": 2.1118009251873337e-06, + "loss": 0.6161, + "step": 24002 + }, + { + "epoch": 0.71, + "learning_rate": 2.1114125725905045e-06, + "loss": 0.8479, + "step": 24003 + }, + { + "epoch": 0.71, + "learning_rate": 2.1110242461475665e-06, + "loss": 0.9315, + "step": 24004 + }, + { + "epoch": 0.71, + "learning_rate": 2.1106359458620407e-06, + "loss": 0.5604, + "step": 24005 + }, + { + "epoch": 0.71, + "learning_rate": 2.1102476717374374e-06, + "loss": 0.8157, + "step": 24006 + }, + { + "epoch": 0.71, + "learning_rate": 2.1098594237772753e-06, + "loss": 0.6379, + "step": 24007 + }, + { + "epoch": 0.71, + "learning_rate": 2.1094712019850687e-06, + "loss": 0.7912, + "step": 24008 + }, + { + "epoch": 0.71, + "learning_rate": 2.1090830063643354e-06, + "loss": 0.6483, + "step": 24009 + }, + { + "epoch": 0.71, + "learning_rate": 2.108694836918586e-06, + "loss": 0.7716, + "step": 24010 + }, + { + "epoch": 0.71, + "learning_rate": 2.1083066936513385e-06, + "loss": 0.6571, + "step": 24011 + }, + { + "epoch": 0.71, + "learning_rate": 2.107918576566104e-06, + "loss": 0.5887, + "step": 24012 + }, + { + "epoch": 0.71, + "learning_rate": 2.1075304856664007e-06, + "loss": 0.542, + "step": 24013 + }, + { + "epoch": 0.71, + "learning_rate": 2.107142420955738e-06, + "loss": 0.6662, + "step": 24014 + }, + { + "epoch": 0.71, + "learning_rate": 2.1067543824376333e-06, + "loss": 0.7116, + "step": 24015 + }, + { + "epoch": 0.71, + "learning_rate": 2.1063663701155968e-06, + "loss": 0.714, + "step": 24016 + }, + { + "epoch": 0.71, + "learning_rate": 2.1059783839931426e-06, + "loss": 0.9167, + "step": 24017 + }, + { + "epoch": 0.71, + "learning_rate": 2.105590424073786e-06, + "loss": 0.851, + "step": 24018 + }, + { + "epoch": 0.71, + "learning_rate": 2.105202490361037e-06, + "loss": 0.7687, + "step": 24019 + }, + { + "epoch": 0.71, + "learning_rate": 2.1048145828584098e-06, + "loss": 0.6118, + "step": 24020 + }, + { + "epoch": 0.71, + "learning_rate": 2.1044267015694136e-06, + "loss": 0.7162, + "step": 24021 + }, + { + "epoch": 0.71, + "learning_rate": 2.1040388464975647e-06, + "loss": 0.8464, + "step": 24022 + }, + { + "epoch": 0.71, + "learning_rate": 2.103651017646371e-06, + "loss": 0.4046, + "step": 24023 + }, + { + "epoch": 0.71, + "learning_rate": 2.103263215019347e-06, + "loss": 0.7713, + "step": 24024 + }, + { + "epoch": 0.71, + "learning_rate": 2.1028754386200004e-06, + "loss": 0.7502, + "step": 24025 + }, + { + "epoch": 0.71, + "learning_rate": 2.1024876884518446e-06, + "loss": 0.7163, + "step": 24026 + }, + { + "epoch": 0.71, + "learning_rate": 2.1020999645183906e-06, + "loss": 0.8449, + "step": 24027 + }, + { + "epoch": 0.71, + "learning_rate": 2.1017122668231495e-06, + "loss": 0.8007, + "step": 24028 + }, + { + "epoch": 0.71, + "learning_rate": 2.1013245953696287e-06, + "loss": 0.6672, + "step": 24029 + }, + { + "epoch": 0.71, + "learning_rate": 2.100936950161342e-06, + "loss": 0.7809, + "step": 24030 + }, + { + "epoch": 0.71, + "learning_rate": 2.1005493312017954e-06, + "loss": 0.9898, + "step": 24031 + }, + { + "epoch": 0.71, + "learning_rate": 2.1001617384945022e-06, + "loss": 0.6077, + "step": 24032 + }, + { + "epoch": 0.71, + "learning_rate": 2.099774172042969e-06, + "loss": 0.8279, + "step": 24033 + }, + { + "epoch": 0.71, + "learning_rate": 2.099386631850706e-06, + "loss": 0.6042, + "step": 24034 + }, + { + "epoch": 0.71, + "learning_rate": 2.098999117921221e-06, + "loss": 0.523, + "step": 24035 + }, + { + "epoch": 0.71, + "learning_rate": 2.0986116302580238e-06, + "loss": 0.6284, + "step": 24036 + }, + { + "epoch": 0.71, + "learning_rate": 2.098224168864624e-06, + "loss": 0.6336, + "step": 24037 + }, + { + "epoch": 0.71, + "learning_rate": 2.0978367337445265e-06, + "loss": 0.5979, + "step": 24038 + }, + { + "epoch": 0.71, + "learning_rate": 2.097449324901243e-06, + "loss": 0.4844, + "step": 24039 + }, + { + "epoch": 0.71, + "learning_rate": 2.097061942338277e-06, + "loss": 0.4884, + "step": 24040 + }, + { + "epoch": 0.71, + "learning_rate": 2.0966745860591404e-06, + "loss": 0.7826, + "step": 24041 + }, + { + "epoch": 0.71, + "learning_rate": 2.096287256067336e-06, + "loss": 0.6527, + "step": 24042 + }, + { + "epoch": 0.71, + "learning_rate": 2.0958999523663747e-06, + "loss": 0.7103, + "step": 24043 + }, + { + "epoch": 0.71, + "learning_rate": 2.09551267495976e-06, + "loss": 0.6348, + "step": 24044 + }, + { + "epoch": 0.71, + "learning_rate": 2.095125423851001e-06, + "loss": 0.9485, + "step": 24045 + }, + { + "epoch": 0.71, + "learning_rate": 2.0947381990436e-06, + "loss": 0.6233, + "step": 24046 + }, + { + "epoch": 0.71, + "learning_rate": 2.094351000541069e-06, + "loss": 0.6702, + "step": 24047 + }, + { + "epoch": 0.71, + "learning_rate": 2.093963828346909e-06, + "loss": 0.918, + "step": 24048 + }, + { + "epoch": 0.71, + "learning_rate": 2.0935766824646286e-06, + "loss": 0.4906, + "step": 24049 + }, + { + "epoch": 0.71, + "learning_rate": 2.09318956289773e-06, + "loss": 0.9017, + "step": 24050 + }, + { + "epoch": 0.71, + "learning_rate": 2.0928024696497218e-06, + "loss": 0.6331, + "step": 24051 + }, + { + "epoch": 0.71, + "learning_rate": 2.092415402724105e-06, + "loss": 0.7387, + "step": 24052 + }, + { + "epoch": 0.71, + "learning_rate": 2.0920283621243883e-06, + "loss": 0.5505, + "step": 24053 + }, + { + "epoch": 0.71, + "learning_rate": 2.0916413478540715e-06, + "loss": 0.7133, + "step": 24054 + }, + { + "epoch": 0.71, + "learning_rate": 2.0912543599166628e-06, + "loss": 0.5652, + "step": 24055 + }, + { + "epoch": 0.71, + "learning_rate": 2.0908673983156628e-06, + "loss": 0.7076, + "step": 24056 + }, + { + "epoch": 0.71, + "learning_rate": 2.0904804630545766e-06, + "loss": 0.7179, + "step": 24057 + }, + { + "epoch": 0.71, + "learning_rate": 2.09009355413691e-06, + "loss": 1.0157, + "step": 24058 + }, + { + "epoch": 0.71, + "learning_rate": 2.0897066715661613e-06, + "loss": 0.8403, + "step": 24059 + }, + { + "epoch": 0.71, + "learning_rate": 2.089319815345838e-06, + "loss": 0.5923, + "step": 24060 + }, + { + "epoch": 0.71, + "learning_rate": 2.0889329854794394e-06, + "loss": 0.8436, + "step": 24061 + }, + { + "epoch": 0.71, + "learning_rate": 2.0885461819704703e-06, + "loss": 0.6311, + "step": 24062 + }, + { + "epoch": 0.71, + "learning_rate": 2.0881594048224308e-06, + "loss": 0.8672, + "step": 24063 + }, + { + "epoch": 0.71, + "learning_rate": 2.087772654038825e-06, + "loss": 0.7061, + "step": 24064 + }, + { + "epoch": 0.71, + "learning_rate": 2.0873859296231526e-06, + "loss": 0.8545, + "step": 24065 + }, + { + "epoch": 0.71, + "learning_rate": 2.086999231578915e-06, + "loss": 0.8386, + "step": 24066 + }, + { + "epoch": 0.71, + "learning_rate": 2.0866125599096155e-06, + "loss": 0.77, + "step": 24067 + }, + { + "epoch": 0.71, + "learning_rate": 2.0862259146187553e-06, + "loss": 0.8224, + "step": 24068 + }, + { + "epoch": 0.71, + "learning_rate": 2.085839295709832e-06, + "loss": 0.4633, + "step": 24069 + }, + { + "epoch": 0.71, + "learning_rate": 2.085452703186351e-06, + "loss": 0.6267, + "step": 24070 + }, + { + "epoch": 0.71, + "learning_rate": 2.0850661370518067e-06, + "loss": 0.6445, + "step": 24071 + }, + { + "epoch": 0.71, + "learning_rate": 2.0846795973097046e-06, + "loss": 0.6745, + "step": 24072 + }, + { + "epoch": 0.71, + "learning_rate": 2.08429308396354e-06, + "loss": 0.6142, + "step": 24073 + }, + { + "epoch": 0.71, + "learning_rate": 2.0839065970168163e-06, + "loss": 0.781, + "step": 24074 + }, + { + "epoch": 0.71, + "learning_rate": 2.0835201364730296e-06, + "loss": 0.6116, + "step": 24075 + }, + { + "epoch": 0.71, + "learning_rate": 2.08313370233568e-06, + "loss": 0.6203, + "step": 24076 + }, + { + "epoch": 0.71, + "learning_rate": 2.082747294608269e-06, + "loss": 0.6458, + "step": 24077 + }, + { + "epoch": 0.71, + "learning_rate": 2.082360913294291e-06, + "loss": 0.8433, + "step": 24078 + }, + { + "epoch": 0.71, + "learning_rate": 2.0819745583972483e-06, + "loss": 0.5867, + "step": 24079 + }, + { + "epoch": 0.71, + "learning_rate": 2.081588229920636e-06, + "loss": 0.8813, + "step": 24080 + }, + { + "epoch": 0.71, + "learning_rate": 2.0812019278679542e-06, + "loss": 0.818, + "step": 24081 + }, + { + "epoch": 0.71, + "learning_rate": 2.0808156522426983e-06, + "loss": 0.8795, + "step": 24082 + }, + { + "epoch": 0.71, + "learning_rate": 2.0804294030483678e-06, + "loss": 0.6828, + "step": 24083 + }, + { + "epoch": 0.71, + "learning_rate": 2.080043180288458e-06, + "loss": 0.6775, + "step": 24084 + }, + { + "epoch": 0.71, + "learning_rate": 2.0796569839664672e-06, + "loss": 0.6348, + "step": 24085 + }, + { + "epoch": 0.71, + "learning_rate": 2.0792708140858908e-06, + "loss": 0.7568, + "step": 24086 + }, + { + "epoch": 0.71, + "learning_rate": 2.0788846706502284e-06, + "loss": 0.5125, + "step": 24087 + }, + { + "epoch": 0.71, + "learning_rate": 2.0784985536629725e-06, + "loss": 0.6287, + "step": 24088 + }, + { + "epoch": 0.71, + "learning_rate": 2.078112463127623e-06, + "loss": 0.7184, + "step": 24089 + }, + { + "epoch": 0.71, + "learning_rate": 2.0777263990476708e-06, + "loss": 0.8572, + "step": 24090 + }, + { + "epoch": 0.71, + "learning_rate": 2.077340361426616e-06, + "loss": 0.9589, + "step": 24091 + }, + { + "epoch": 0.71, + "learning_rate": 2.0769543502679495e-06, + "loss": 0.9848, + "step": 24092 + }, + { + "epoch": 0.71, + "learning_rate": 2.0765683655751706e-06, + "loss": 0.7905, + "step": 24093 + }, + { + "epoch": 0.71, + "learning_rate": 2.0761824073517706e-06, + "loss": 0.8148, + "step": 24094 + }, + { + "epoch": 0.71, + "learning_rate": 2.0757964756012457e-06, + "loss": 0.6889, + "step": 24095 + }, + { + "epoch": 0.71, + "learning_rate": 2.0754105703270916e-06, + "loss": 0.711, + "step": 24096 + }, + { + "epoch": 0.71, + "learning_rate": 2.075024691532799e-06, + "loss": 0.7897, + "step": 24097 + }, + { + "epoch": 0.71, + "learning_rate": 2.0746388392218654e-06, + "loss": 0.8609, + "step": 24098 + }, + { + "epoch": 0.71, + "learning_rate": 2.0742530133977805e-06, + "loss": 0.8594, + "step": 24099 + }, + { + "epoch": 0.71, + "learning_rate": 2.073867214064042e-06, + "loss": 0.682, + "step": 24100 + }, + { + "epoch": 0.71, + "learning_rate": 2.073481441224138e-06, + "loss": 0.5955, + "step": 24101 + }, + { + "epoch": 0.71, + "learning_rate": 2.0730956948815673e-06, + "loss": 0.8209, + "step": 24102 + }, + { + "epoch": 0.71, + "learning_rate": 2.072709975039817e-06, + "loss": 0.5297, + "step": 24103 + }, + { + "epoch": 0.71, + "learning_rate": 2.0723242817023825e-06, + "loss": 0.7609, + "step": 24104 + }, + { + "epoch": 0.71, + "learning_rate": 2.071938614872753e-06, + "loss": 0.9174, + "step": 24105 + }, + { + "epoch": 0.71, + "learning_rate": 2.0715529745544255e-06, + "loss": 0.6414, + "step": 24106 + }, + { + "epoch": 0.71, + "learning_rate": 2.0711673607508874e-06, + "loss": 0.7538, + "step": 24107 + }, + { + "epoch": 0.71, + "learning_rate": 2.070781773465633e-06, + "loss": 0.9267, + "step": 24108 + }, + { + "epoch": 0.71, + "learning_rate": 2.070396212702151e-06, + "loss": 0.5391, + "step": 24109 + }, + { + "epoch": 0.71, + "learning_rate": 2.0700106784639344e-06, + "loss": 0.704, + "step": 24110 + }, + { + "epoch": 0.71, + "learning_rate": 2.069625170754472e-06, + "loss": 0.7597, + "step": 24111 + }, + { + "epoch": 0.71, + "learning_rate": 2.069239689577256e-06, + "loss": 0.5762, + "step": 24112 + }, + { + "epoch": 0.71, + "learning_rate": 2.068854234935775e-06, + "loss": 0.8682, + "step": 24113 + }, + { + "epoch": 0.71, + "learning_rate": 2.0684688068335206e-06, + "loss": 0.7906, + "step": 24114 + }, + { + "epoch": 0.71, + "learning_rate": 2.068083405273981e-06, + "loss": 0.9842, + "step": 24115 + }, + { + "epoch": 0.71, + "learning_rate": 2.067698030260645e-06, + "loss": 0.5105, + "step": 24116 + }, + { + "epoch": 0.71, + "learning_rate": 2.067312681797006e-06, + "loss": 0.809, + "step": 24117 + }, + { + "epoch": 0.71, + "learning_rate": 2.066927359886549e-06, + "loss": 0.659, + "step": 24118 + }, + { + "epoch": 0.71, + "learning_rate": 2.0665420645327657e-06, + "loss": 0.6137, + "step": 24119 + }, + { + "epoch": 0.71, + "learning_rate": 2.066156795739141e-06, + "loss": 0.5756, + "step": 24120 + }, + { + "epoch": 0.71, + "learning_rate": 2.065771553509168e-06, + "loss": 0.9532, + "step": 24121 + }, + { + "epoch": 0.71, + "learning_rate": 2.065386337846329e-06, + "loss": 0.7402, + "step": 24122 + }, + { + "epoch": 0.71, + "learning_rate": 2.0650011487541173e-06, + "loss": 0.4517, + "step": 24123 + }, + { + "epoch": 0.71, + "learning_rate": 2.064615986236016e-06, + "loss": 0.7009, + "step": 24124 + }, + { + "epoch": 0.71, + "learning_rate": 2.064230850295515e-06, + "loss": 0.8698, + "step": 24125 + }, + { + "epoch": 0.71, + "learning_rate": 2.0638457409361005e-06, + "loss": 0.7661, + "step": 24126 + }, + { + "epoch": 0.71, + "learning_rate": 2.0634606581612616e-06, + "loss": 0.7032, + "step": 24127 + }, + { + "epoch": 0.71, + "learning_rate": 2.063075601974482e-06, + "loss": 0.7633, + "step": 24128 + }, + { + "epoch": 0.71, + "learning_rate": 2.06269057237925e-06, + "loss": 0.8591, + "step": 24129 + }, + { + "epoch": 0.71, + "learning_rate": 2.0623055693790493e-06, + "loss": 0.9599, + "step": 24130 + }, + { + "epoch": 0.71, + "learning_rate": 2.06192059297737e-06, + "loss": 0.7249, + "step": 24131 + }, + { + "epoch": 0.71, + "learning_rate": 2.061535643177693e-06, + "loss": 0.5794, + "step": 24132 + }, + { + "epoch": 0.71, + "learning_rate": 2.0611507199835072e-06, + "loss": 0.6066, + "step": 24133 + }, + { + "epoch": 0.71, + "learning_rate": 2.0607658233982953e-06, + "loss": 0.7582, + "step": 24134 + }, + { + "epoch": 0.71, + "learning_rate": 2.0603809534255435e-06, + "loss": 0.7429, + "step": 24135 + }, + { + "epoch": 0.71, + "learning_rate": 2.0599961100687383e-06, + "loss": 0.5871, + "step": 24136 + }, + { + "epoch": 0.71, + "learning_rate": 2.05961129333136e-06, + "loss": 0.6936, + "step": 24137 + }, + { + "epoch": 0.71, + "learning_rate": 2.0592265032168966e-06, + "loss": 0.5837, + "step": 24138 + }, + { + "epoch": 0.71, + "learning_rate": 2.0588417397288295e-06, + "loss": 1.0432, + "step": 24139 + }, + { + "epoch": 0.71, + "learning_rate": 2.058457002870645e-06, + "loss": 0.6749, + "step": 24140 + }, + { + "epoch": 0.71, + "learning_rate": 2.0580722926458233e-06, + "loss": 0.617, + "step": 24141 + }, + { + "epoch": 0.71, + "learning_rate": 2.057687609057851e-06, + "loss": 0.6786, + "step": 24142 + }, + { + "epoch": 0.71, + "learning_rate": 2.057302952110208e-06, + "loss": 0.814, + "step": 24143 + }, + { + "epoch": 0.71, + "learning_rate": 2.056918321806381e-06, + "loss": 0.8222, + "step": 24144 + }, + { + "epoch": 0.71, + "learning_rate": 2.056533718149846e-06, + "loss": 0.824, + "step": 24145 + }, + { + "epoch": 0.71, + "learning_rate": 2.0561491411440925e-06, + "loss": 0.6859, + "step": 24146 + }, + { + "epoch": 0.71, + "learning_rate": 2.0557645907925983e-06, + "loss": 0.4809, + "step": 24147 + }, + { + "epoch": 0.71, + "learning_rate": 2.0553800670988484e-06, + "loss": 0.7718, + "step": 24148 + }, + { + "epoch": 0.71, + "learning_rate": 2.0549955700663198e-06, + "loss": 0.6775, + "step": 24149 + }, + { + "epoch": 0.71, + "learning_rate": 2.0546110996984984e-06, + "loss": 0.6814, + "step": 24150 + }, + { + "epoch": 0.71, + "learning_rate": 2.0542266559988615e-06, + "loss": 0.9261, + "step": 24151 + }, + { + "epoch": 0.71, + "learning_rate": 2.053842238970894e-06, + "loss": 0.6705, + "step": 24152 + }, + { + "epoch": 0.71, + "learning_rate": 2.0534578486180718e-06, + "loss": 0.7026, + "step": 24153 + }, + { + "epoch": 0.71, + "learning_rate": 2.053073484943878e-06, + "loss": 0.7897, + "step": 24154 + }, + { + "epoch": 0.71, + "learning_rate": 2.0526891479517935e-06, + "loss": 0.5199, + "step": 24155 + }, + { + "epoch": 0.71, + "learning_rate": 2.0523048376452954e-06, + "loss": 0.5918, + "step": 24156 + }, + { + "epoch": 0.71, + "learning_rate": 2.051920554027867e-06, + "loss": 0.6525, + "step": 24157 + }, + { + "epoch": 0.71, + "learning_rate": 2.0515362971029836e-06, + "loss": 0.6831, + "step": 24158 + }, + { + "epoch": 0.71, + "learning_rate": 2.051152066874128e-06, + "loss": 0.6788, + "step": 24159 + }, + { + "epoch": 0.71, + "learning_rate": 2.0507678633447758e-06, + "loss": 0.5761, + "step": 24160 + }, + { + "epoch": 0.71, + "learning_rate": 2.050383686518409e-06, + "loss": 0.6071, + "step": 24161 + }, + { + "epoch": 0.71, + "learning_rate": 2.0499995363985026e-06, + "loss": 0.634, + "step": 24162 + }, + { + "epoch": 0.71, + "learning_rate": 2.049615412988538e-06, + "loss": 0.5718, + "step": 24163 + }, + { + "epoch": 0.71, + "learning_rate": 2.0492313162919887e-06, + "loss": 0.7486, + "step": 24164 + }, + { + "epoch": 0.71, + "learning_rate": 2.0488472463123386e-06, + "loss": 0.6565, + "step": 24165 + }, + { + "epoch": 0.71, + "learning_rate": 2.0484632030530602e-06, + "loss": 0.5588, + "step": 24166 + }, + { + "epoch": 0.71, + "learning_rate": 2.048079186517634e-06, + "loss": 0.5135, + "step": 24167 + }, + { + "epoch": 0.71, + "learning_rate": 2.0476951967095343e-06, + "loss": 0.6302, + "step": 24168 + }, + { + "epoch": 0.71, + "learning_rate": 2.0473112336322396e-06, + "loss": 0.911, + "step": 24169 + }, + { + "epoch": 0.71, + "learning_rate": 2.0469272972892245e-06, + "loss": 0.8975, + "step": 24170 + }, + { + "epoch": 0.71, + "learning_rate": 2.0465433876839687e-06, + "loss": 0.8319, + "step": 24171 + }, + { + "epoch": 0.71, + "learning_rate": 2.0461595048199436e-06, + "loss": 0.7329, + "step": 24172 + }, + { + "epoch": 0.71, + "learning_rate": 2.0457756487006285e-06, + "loss": 0.8418, + "step": 24173 + }, + { + "epoch": 0.71, + "learning_rate": 2.045391819329497e-06, + "loss": 0.8952, + "step": 24174 + }, + { + "epoch": 0.71, + "learning_rate": 2.0450080167100243e-06, + "loss": 0.907, + "step": 24175 + }, + { + "epoch": 0.71, + "learning_rate": 2.0446242408456884e-06, + "loss": 0.7853, + "step": 24176 + }, + { + "epoch": 0.71, + "learning_rate": 2.04424049173996e-06, + "loss": 0.7064, + "step": 24177 + }, + { + "epoch": 0.71, + "learning_rate": 2.043856769396317e-06, + "loss": 0.6392, + "step": 24178 + }, + { + "epoch": 0.71, + "learning_rate": 2.0434730738182313e-06, + "loss": 0.5583, + "step": 24179 + }, + { + "epoch": 0.71, + "learning_rate": 2.043089405009179e-06, + "loss": 0.7127, + "step": 24180 + }, + { + "epoch": 0.71, + "learning_rate": 2.042705762972631e-06, + "loss": 0.7768, + "step": 24181 + }, + { + "epoch": 0.71, + "learning_rate": 2.042322147712065e-06, + "loss": 0.5211, + "step": 24182 + }, + { + "epoch": 0.71, + "learning_rate": 2.04193855923095e-06, + "loss": 0.6816, + "step": 24183 + }, + { + "epoch": 0.71, + "learning_rate": 2.041554997532761e-06, + "loss": 0.7148, + "step": 24184 + }, + { + "epoch": 0.71, + "learning_rate": 2.041171462620971e-06, + "loss": 0.7704, + "step": 24185 + }, + { + "epoch": 0.71, + "learning_rate": 2.0407879544990546e-06, + "loss": 0.5382, + "step": 24186 + }, + { + "epoch": 0.71, + "learning_rate": 2.04040447317048e-06, + "loss": 0.9454, + "step": 24187 + }, + { + "epoch": 0.71, + "learning_rate": 2.0400210186387236e-06, + "loss": 0.7897, + "step": 24188 + }, + { + "epoch": 0.71, + "learning_rate": 2.0396375909072537e-06, + "loss": 0.6325, + "step": 24189 + }, + { + "epoch": 0.71, + "learning_rate": 2.0392541899795447e-06, + "loss": 0.6124, + "step": 24190 + }, + { + "epoch": 0.71, + "learning_rate": 2.038870815859065e-06, + "loss": 0.7811, + "step": 24191 + }, + { + "epoch": 0.71, + "learning_rate": 2.0384874685492893e-06, + "loss": 0.7011, + "step": 24192 + }, + { + "epoch": 0.71, + "learning_rate": 2.0381041480536843e-06, + "loss": 0.8269, + "step": 24193 + }, + { + "epoch": 0.71, + "learning_rate": 2.037720854375724e-06, + "loss": 0.6842, + "step": 24194 + }, + { + "epoch": 0.71, + "learning_rate": 2.037337587518877e-06, + "loss": 0.7745, + "step": 24195 + }, + { + "epoch": 0.71, + "learning_rate": 2.0369543474866173e-06, + "loss": 0.5152, + "step": 24196 + }, + { + "epoch": 0.71, + "learning_rate": 2.036571134282409e-06, + "loss": 0.7904, + "step": 24197 + }, + { + "epoch": 0.71, + "learning_rate": 2.036187947909727e-06, + "loss": 0.7886, + "step": 24198 + }, + { + "epoch": 0.71, + "learning_rate": 2.0358047883720377e-06, + "loss": 0.6141, + "step": 24199 + }, + { + "epoch": 0.71, + "learning_rate": 2.03542165567281e-06, + "loss": 0.674, + "step": 24200 + }, + { + "epoch": 0.71, + "learning_rate": 2.0350385498155152e-06, + "loss": 0.7078, + "step": 24201 + }, + { + "epoch": 0.71, + "learning_rate": 2.0346554708036193e-06, + "loss": 0.5258, + "step": 24202 + }, + { + "epoch": 0.71, + "learning_rate": 2.034272418640594e-06, + "loss": 0.6332, + "step": 24203 + }, + { + "epoch": 0.71, + "learning_rate": 2.0338893933299016e-06, + "loss": 0.6362, + "step": 24204 + }, + { + "epoch": 0.71, + "learning_rate": 2.0335063948750183e-06, + "loss": 1.1454, + "step": 24205 + }, + { + "epoch": 0.71, + "learning_rate": 2.0331234232794057e-06, + "loss": 0.6509, + "step": 24206 + }, + { + "epoch": 0.71, + "learning_rate": 2.0327404785465354e-06, + "loss": 0.8197, + "step": 24207 + }, + { + "epoch": 0.71, + "learning_rate": 2.0323575606798706e-06, + "loss": 0.5865, + "step": 24208 + }, + { + "epoch": 0.71, + "learning_rate": 2.0319746696828823e-06, + "loss": 0.5676, + "step": 24209 + }, + { + "epoch": 0.71, + "learning_rate": 2.0315918055590333e-06, + "loss": 0.8835, + "step": 24210 + }, + { + "epoch": 0.71, + "learning_rate": 2.0312089683117946e-06, + "loss": 0.6636, + "step": 24211 + }, + { + "epoch": 0.71, + "learning_rate": 2.030826157944628e-06, + "loss": 0.5143, + "step": 24212 + }, + { + "epoch": 0.71, + "learning_rate": 2.0304433744610016e-06, + "loss": 0.6153, + "step": 24213 + }, + { + "epoch": 0.71, + "learning_rate": 2.030060617864381e-06, + "loss": 0.4245, + "step": 24214 + }, + { + "epoch": 0.71, + "learning_rate": 2.029677888158234e-06, + "loss": 0.9728, + "step": 24215 + }, + { + "epoch": 0.71, + "learning_rate": 2.029295185346022e-06, + "loss": 0.7119, + "step": 24216 + }, + { + "epoch": 0.71, + "learning_rate": 2.0289125094312136e-06, + "loss": 0.6634, + "step": 24217 + }, + { + "epoch": 0.71, + "learning_rate": 2.0285298604172705e-06, + "loss": 0.7416, + "step": 24218 + }, + { + "epoch": 0.71, + "learning_rate": 2.0281472383076607e-06, + "loss": 0.669, + "step": 24219 + }, + { + "epoch": 0.71, + "learning_rate": 2.0277646431058444e-06, + "loss": 0.651, + "step": 24220 + }, + { + "epoch": 0.71, + "learning_rate": 2.0273820748152902e-06, + "loss": 0.7446, + "step": 24221 + }, + { + "epoch": 0.71, + "learning_rate": 2.0269995334394578e-06, + "loss": 0.7814, + "step": 24222 + }, + { + "epoch": 0.71, + "learning_rate": 2.0266170189818123e-06, + "loss": 0.5816, + "step": 24223 + }, + { + "epoch": 0.71, + "learning_rate": 2.0262345314458195e-06, + "loss": 0.8137, + "step": 24224 + }, + { + "epoch": 0.71, + "learning_rate": 2.025852070834939e-06, + "loss": 0.631, + "step": 24225 + }, + { + "epoch": 0.71, + "learning_rate": 2.025469637152636e-06, + "loss": 0.7108, + "step": 24226 + }, + { + "epoch": 0.71, + "learning_rate": 2.0250872304023715e-06, + "loss": 0.5891, + "step": 24227 + }, + { + "epoch": 0.71, + "learning_rate": 2.0247048505876103e-06, + "loss": 0.7073, + "step": 24228 + }, + { + "epoch": 0.71, + "learning_rate": 2.024322497711811e-06, + "loss": 0.6367, + "step": 24229 + }, + { + "epoch": 0.71, + "learning_rate": 2.023940171778439e-06, + "loss": 0.8124, + "step": 24230 + }, + { + "epoch": 0.71, + "learning_rate": 2.023557872790953e-06, + "loss": 0.8194, + "step": 24231 + }, + { + "epoch": 0.71, + "learning_rate": 2.023175600752818e-06, + "loss": 0.5206, + "step": 24232 + }, + { + "epoch": 0.71, + "learning_rate": 2.0227933556674887e-06, + "loss": 0.8308, + "step": 24233 + }, + { + "epoch": 0.71, + "learning_rate": 2.0224111375384342e-06, + "loss": 0.5932, + "step": 24234 + }, + { + "epoch": 0.71, + "learning_rate": 2.0220289463691095e-06, + "loss": 0.7612, + "step": 24235 + }, + { + "epoch": 0.71, + "learning_rate": 2.021646782162979e-06, + "loss": 0.6069, + "step": 24236 + }, + { + "epoch": 0.71, + "learning_rate": 2.0212646449234985e-06, + "loss": 1.0337, + "step": 24237 + }, + { + "epoch": 0.71, + "learning_rate": 2.020882534654132e-06, + "loss": 0.7782, + "step": 24238 + }, + { + "epoch": 0.71, + "learning_rate": 2.020500451358336e-06, + "loss": 0.8921, + "step": 24239 + }, + { + "epoch": 0.71, + "learning_rate": 2.0201183950395732e-06, + "loss": 0.7723, + "step": 24240 + }, + { + "epoch": 0.71, + "learning_rate": 2.0197363657012992e-06, + "loss": 0.6368, + "step": 24241 + }, + { + "epoch": 0.71, + "learning_rate": 2.019354363346976e-06, + "loss": 0.761, + "step": 24242 + }, + { + "epoch": 0.71, + "learning_rate": 2.01897238798006e-06, + "loss": 0.6337, + "step": 24243 + }, + { + "epoch": 0.71, + "learning_rate": 2.0185904396040105e-06, + "loss": 0.8202, + "step": 24244 + }, + { + "epoch": 0.71, + "learning_rate": 2.018208518222288e-06, + "loss": 0.8124, + "step": 24245 + }, + { + "epoch": 0.71, + "learning_rate": 2.0178266238383463e-06, + "loss": 0.6214, + "step": 24246 + }, + { + "epoch": 0.71, + "learning_rate": 2.0174447564556475e-06, + "loss": 0.8666, + "step": 24247 + }, + { + "epoch": 0.71, + "learning_rate": 2.0170629160776457e-06, + "loss": 0.3766, + "step": 24248 + }, + { + "epoch": 0.71, + "learning_rate": 2.0166811027078006e-06, + "loss": 0.7839, + "step": 24249 + }, + { + "epoch": 0.71, + "learning_rate": 2.0162993163495664e-06, + "loss": 0.75, + "step": 24250 + }, + { + "epoch": 0.71, + "learning_rate": 2.0159175570064037e-06, + "loss": 0.65, + "step": 24251 + }, + { + "epoch": 0.71, + "learning_rate": 2.0155358246817645e-06, + "loss": 0.672, + "step": 24252 + }, + { + "epoch": 0.71, + "learning_rate": 2.015154119379108e-06, + "loss": 0.8605, + "step": 24253 + }, + { + "epoch": 0.71, + "learning_rate": 2.0147724411018896e-06, + "loss": 0.5029, + "step": 24254 + }, + { + "epoch": 0.71, + "learning_rate": 2.0143907898535675e-06, + "loss": 0.5556, + "step": 24255 + }, + { + "epoch": 0.71, + "learning_rate": 2.014009165637593e-06, + "loss": 0.6328, + "step": 24256 + }, + { + "epoch": 0.71, + "learning_rate": 2.0136275684574246e-06, + "loss": 0.6844, + "step": 24257 + }, + { + "epoch": 0.71, + "learning_rate": 2.013245998316515e-06, + "loss": 0.9886, + "step": 24258 + }, + { + "epoch": 0.71, + "learning_rate": 2.012864455218321e-06, + "loss": 0.5903, + "step": 24259 + }, + { + "epoch": 0.71, + "learning_rate": 2.0124829391662953e-06, + "loss": 0.6164, + "step": 24260 + }, + { + "epoch": 0.71, + "learning_rate": 2.012101450163895e-06, + "loss": 0.6874, + "step": 24261 + }, + { + "epoch": 0.71, + "learning_rate": 2.011719988214571e-06, + "loss": 0.5661, + "step": 24262 + }, + { + "epoch": 0.71, + "learning_rate": 2.011338553321778e-06, + "loss": 0.8004, + "step": 24263 + }, + { + "epoch": 0.71, + "learning_rate": 2.0109571454889724e-06, + "loss": 0.7257, + "step": 24264 + }, + { + "epoch": 0.71, + "learning_rate": 2.0105757647196032e-06, + "loss": 0.6344, + "step": 24265 + }, + { + "epoch": 0.71, + "learning_rate": 2.010194411017128e-06, + "loss": 0.9063, + "step": 24266 + }, + { + "epoch": 0.71, + "learning_rate": 2.009813084384995e-06, + "loss": 0.7804, + "step": 24267 + }, + { + "epoch": 0.71, + "learning_rate": 2.009431784826661e-06, + "loss": 0.8814, + "step": 24268 + }, + { + "epoch": 0.71, + "learning_rate": 2.0090505123455746e-06, + "loss": 0.8033, + "step": 24269 + }, + { + "epoch": 0.71, + "learning_rate": 2.008669266945192e-06, + "loss": 0.6172, + "step": 24270 + }, + { + "epoch": 0.71, + "learning_rate": 2.0082880486289607e-06, + "loss": 0.5899, + "step": 24271 + }, + { + "epoch": 0.71, + "learning_rate": 2.0079068574003362e-06, + "loss": 0.6837, + "step": 24272 + }, + { + "epoch": 0.71, + "learning_rate": 2.007525693262765e-06, + "loss": 0.8793, + "step": 24273 + }, + { + "epoch": 0.71, + "learning_rate": 2.007144556219705e-06, + "loss": 1.0263, + "step": 24274 + }, + { + "epoch": 0.71, + "learning_rate": 2.0067634462746015e-06, + "loss": 0.802, + "step": 24275 + }, + { + "epoch": 0.71, + "learning_rate": 2.0063823634309094e-06, + "loss": 0.4839, + "step": 24276 + }, + { + "epoch": 0.71, + "learning_rate": 2.0060013076920747e-06, + "loss": 0.6547, + "step": 24277 + }, + { + "epoch": 0.71, + "learning_rate": 2.0056202790615512e-06, + "loss": 0.7685, + "step": 24278 + }, + { + "epoch": 0.71, + "learning_rate": 2.0052392775427863e-06, + "loss": 0.6604, + "step": 24279 + }, + { + "epoch": 0.71, + "learning_rate": 2.004858303139233e-06, + "loss": 0.5559, + "step": 24280 + }, + { + "epoch": 0.71, + "learning_rate": 2.004477355854336e-06, + "loss": 0.9438, + "step": 24281 + }, + { + "epoch": 0.71, + "learning_rate": 2.0040964356915464e-06, + "loss": 0.8843, + "step": 24282 + }, + { + "epoch": 0.71, + "learning_rate": 2.003715542654316e-06, + "loss": 0.6715, + "step": 24283 + }, + { + "epoch": 0.71, + "learning_rate": 2.0033346767460894e-06, + "loss": 0.8741, + "step": 24284 + }, + { + "epoch": 0.71, + "learning_rate": 2.002953837970319e-06, + "loss": 0.8433, + "step": 24285 + }, + { + "epoch": 0.71, + "learning_rate": 2.002573026330448e-06, + "loss": 0.7528, + "step": 24286 + }, + { + "epoch": 0.71, + "learning_rate": 2.00219224182993e-06, + "loss": 0.7504, + "step": 24287 + }, + { + "epoch": 0.71, + "learning_rate": 2.0018114844722075e-06, + "loss": 0.6651, + "step": 24288 + }, + { + "epoch": 0.71, + "learning_rate": 2.0014307542607324e-06, + "loss": 0.8621, + "step": 24289 + }, + { + "epoch": 0.71, + "learning_rate": 2.0010500511989477e-06, + "loss": 0.4467, + "step": 24290 + }, + { + "epoch": 0.71, + "learning_rate": 2.000669375290305e-06, + "loss": 0.9224, + "step": 24291 + }, + { + "epoch": 0.71, + "learning_rate": 2.0002887265382442e-06, + "loss": 0.4769, + "step": 24292 + }, + { + "epoch": 0.71, + "learning_rate": 1.99990810494622e-06, + "loss": 0.9349, + "step": 24293 + }, + { + "epoch": 0.71, + "learning_rate": 1.9995275105176732e-06, + "loss": 0.631, + "step": 24294 + }, + { + "epoch": 0.71, + "learning_rate": 1.9991469432560527e-06, + "loss": 0.6022, + "step": 24295 + }, + { + "epoch": 0.71, + "learning_rate": 1.9987664031648013e-06, + "loss": 0.7556, + "step": 24296 + }, + { + "epoch": 0.71, + "learning_rate": 1.998385890247368e-06, + "loss": 0.658, + "step": 24297 + }, + { + "epoch": 0.71, + "learning_rate": 1.998005404507194e-06, + "loss": 0.5803, + "step": 24298 + }, + { + "epoch": 0.71, + "learning_rate": 1.997624945947728e-06, + "loss": 0.5976, + "step": 24299 + }, + { + "epoch": 0.71, + "learning_rate": 1.9972445145724118e-06, + "loss": 0.6794, + "step": 24300 + }, + { + "epoch": 0.71, + "learning_rate": 1.9968641103846926e-06, + "loss": 0.7982, + "step": 24301 + }, + { + "epoch": 0.71, + "learning_rate": 1.9964837333880114e-06, + "loss": 0.6623, + "step": 24302 + }, + { + "epoch": 0.71, + "learning_rate": 1.996103383585815e-06, + "loss": 0.5386, + "step": 24303 + }, + { + "epoch": 0.71, + "learning_rate": 1.9957230609815477e-06, + "loss": 0.4928, + "step": 24304 + }, + { + "epoch": 0.71, + "learning_rate": 1.9953427655786495e-06, + "loss": 0.7365, + "step": 24305 + }, + { + "epoch": 0.71, + "learning_rate": 1.9949624973805683e-06, + "loss": 0.5305, + "step": 24306 + }, + { + "epoch": 0.71, + "learning_rate": 1.9945822563907417e-06, + "loss": 0.6077, + "step": 24307 + }, + { + "epoch": 0.71, + "learning_rate": 1.994202042612618e-06, + "loss": 0.8827, + "step": 24308 + }, + { + "epoch": 0.71, + "learning_rate": 1.9938218560496352e-06, + "loss": 0.6349, + "step": 24309 + }, + { + "epoch": 0.71, + "learning_rate": 1.9934416967052395e-06, + "loss": 0.699, + "step": 24310 + }, + { + "epoch": 0.71, + "learning_rate": 1.9930615645828696e-06, + "loss": 0.725, + "step": 24311 + }, + { + "epoch": 0.71, + "learning_rate": 1.9926814596859677e-06, + "loss": 0.7736, + "step": 24312 + }, + { + "epoch": 0.71, + "learning_rate": 1.992301382017977e-06, + "loss": 0.9188, + "step": 24313 + }, + { + "epoch": 0.71, + "learning_rate": 1.9919213315823393e-06, + "loss": 0.559, + "step": 24314 + }, + { + "epoch": 0.71, + "learning_rate": 1.9915413083824936e-06, + "loss": 0.6335, + "step": 24315 + }, + { + "epoch": 0.71, + "learning_rate": 1.9911613124218825e-06, + "loss": 0.8932, + "step": 24316 + }, + { + "epoch": 0.71, + "learning_rate": 1.9907813437039448e-06, + "loss": 0.7041, + "step": 24317 + }, + { + "epoch": 0.71, + "learning_rate": 1.990401402232123e-06, + "loss": 0.5438, + "step": 24318 + }, + { + "epoch": 0.71, + "learning_rate": 1.990021488009854e-06, + "loss": 0.7832, + "step": 24319 + }, + { + "epoch": 0.71, + "learning_rate": 1.9896416010405818e-06, + "loss": 0.7149, + "step": 24320 + }, + { + "epoch": 0.71, + "learning_rate": 1.989261741327741e-06, + "loss": 0.8536, + "step": 24321 + }, + { + "epoch": 0.71, + "learning_rate": 1.9888819088747747e-06, + "loss": 0.7975, + "step": 24322 + }, + { + "epoch": 0.71, + "learning_rate": 1.9885021036851215e-06, + "loss": 0.6463, + "step": 24323 + }, + { + "epoch": 0.71, + "learning_rate": 1.9881223257622183e-06, + "loss": 0.3995, + "step": 24324 + }, + { + "epoch": 0.71, + "learning_rate": 1.9877425751095074e-06, + "loss": 0.8428, + "step": 24325 + }, + { + "epoch": 0.71, + "learning_rate": 1.987362851730422e-06, + "loss": 0.75, + "step": 24326 + }, + { + "epoch": 0.71, + "learning_rate": 1.986983155628406e-06, + "loss": 0.6478, + "step": 24327 + }, + { + "epoch": 0.71, + "learning_rate": 1.986603486806891e-06, + "loss": 0.8135, + "step": 24328 + }, + { + "epoch": 0.71, + "learning_rate": 1.9862238452693206e-06, + "loss": 0.7506, + "step": 24329 + }, + { + "epoch": 0.71, + "learning_rate": 1.9858442310191274e-06, + "loss": 0.748, + "step": 24330 + }, + { + "epoch": 0.71, + "learning_rate": 1.9854646440597518e-06, + "loss": 0.6342, + "step": 24331 + }, + { + "epoch": 0.71, + "learning_rate": 1.9850850843946267e-06, + "loss": 0.8059, + "step": 24332 + }, + { + "epoch": 0.71, + "learning_rate": 1.984705552027194e-06, + "loss": 0.5795, + "step": 24333 + }, + { + "epoch": 0.71, + "learning_rate": 1.984326046960886e-06, + "loss": 0.5296, + "step": 24334 + }, + { + "epoch": 0.71, + "learning_rate": 1.983946569199142e-06, + "loss": 0.5589, + "step": 24335 + }, + { + "epoch": 0.71, + "learning_rate": 1.983567118745395e-06, + "loss": 0.5823, + "step": 24336 + }, + { + "epoch": 0.71, + "learning_rate": 1.9831876956030827e-06, + "loss": 0.8247, + "step": 24337 + }, + { + "epoch": 0.72, + "learning_rate": 1.9828082997756374e-06, + "loss": 0.6435, + "step": 24338 + }, + { + "epoch": 0.72, + "learning_rate": 1.982428931266499e-06, + "loss": 0.6145, + "step": 24339 + }, + { + "epoch": 0.72, + "learning_rate": 1.9820495900790976e-06, + "loss": 0.4423, + "step": 24340 + }, + { + "epoch": 0.72, + "learning_rate": 1.981670276216872e-06, + "loss": 0.5775, + "step": 24341 + }, + { + "epoch": 0.72, + "learning_rate": 1.9812909896832526e-06, + "loss": 0.8966, + "step": 24342 + }, + { + "epoch": 0.72, + "learning_rate": 1.9809117304816754e-06, + "loss": 0.6916, + "step": 24343 + }, + { + "epoch": 0.72, + "learning_rate": 1.980532498615577e-06, + "loss": 0.9392, + "step": 24344 + }, + { + "epoch": 0.72, + "learning_rate": 1.9801532940883857e-06, + "loss": 0.8951, + "step": 24345 + }, + { + "epoch": 0.72, + "learning_rate": 1.9797741169035396e-06, + "loss": 0.7365, + "step": 24346 + }, + { + "epoch": 0.72, + "learning_rate": 1.979394967064468e-06, + "loss": 0.6826, + "step": 24347 + }, + { + "epoch": 0.72, + "learning_rate": 1.9790158445746076e-06, + "loss": 0.9082, + "step": 24348 + }, + { + "epoch": 0.72, + "learning_rate": 1.9786367494373877e-06, + "loss": 0.4841, + "step": 24349 + }, + { + "epoch": 0.72, + "learning_rate": 1.9782576816562437e-06, + "loss": 0.893, + "step": 24350 + }, + { + "epoch": 0.72, + "learning_rate": 1.977878641234603e-06, + "loss": 0.6859, + "step": 24351 + }, + { + "epoch": 0.72, + "learning_rate": 1.9774996281759042e-06, + "loss": 0.7483, + "step": 24352 + }, + { + "epoch": 0.72, + "learning_rate": 1.977120642483573e-06, + "loss": 0.7899, + "step": 24353 + }, + { + "epoch": 0.72, + "learning_rate": 1.976741684161046e-06, + "loss": 0.6131, + "step": 24354 + }, + { + "epoch": 0.72, + "learning_rate": 1.9763627532117495e-06, + "loss": 0.7705, + "step": 24355 + }, + { + "epoch": 0.72, + "learning_rate": 1.9759838496391185e-06, + "loss": 0.6612, + "step": 24356 + }, + { + "epoch": 0.72, + "learning_rate": 1.9756049734465803e-06, + "loss": 0.5248, + "step": 24357 + }, + { + "epoch": 0.72, + "learning_rate": 1.9752261246375685e-06, + "loss": 0.8428, + "step": 24358 + }, + { + "epoch": 0.72, + "learning_rate": 1.9748473032155096e-06, + "loss": 0.7764, + "step": 24359 + }, + { + "epoch": 0.72, + "learning_rate": 1.9744685091838374e-06, + "loss": 0.6149, + "step": 24360 + }, + { + "epoch": 0.72, + "learning_rate": 1.974089742545978e-06, + "loss": 0.7454, + "step": 24361 + }, + { + "epoch": 0.72, + "learning_rate": 1.9737110033053626e-06, + "loss": 1.0172, + "step": 24362 + }, + { + "epoch": 0.72, + "learning_rate": 1.973332291465422e-06, + "loss": 0.808, + "step": 24363 + }, + { + "epoch": 0.72, + "learning_rate": 1.9729536070295817e-06, + "loss": 0.7363, + "step": 24364 + }, + { + "epoch": 0.72, + "learning_rate": 1.9725749500012743e-06, + "loss": 0.9671, + "step": 24365 + }, + { + "epoch": 0.72, + "learning_rate": 1.9721963203839238e-06, + "loss": 0.717, + "step": 24366 + }, + { + "epoch": 0.72, + "learning_rate": 1.9718177181809627e-06, + "loss": 0.7037, + "step": 24367 + }, + { + "epoch": 0.72, + "learning_rate": 1.971439143395815e-06, + "loss": 0.8967, + "step": 24368 + }, + { + "epoch": 0.72, + "learning_rate": 1.9710605960319122e-06, + "loss": 0.7494, + "step": 24369 + }, + { + "epoch": 0.72, + "learning_rate": 1.9706820760926788e-06, + "loss": 0.5816, + "step": 24370 + }, + { + "epoch": 0.72, + "learning_rate": 1.9703035835815427e-06, + "loss": 0.6531, + "step": 24371 + }, + { + "epoch": 0.72, + "learning_rate": 1.969925118501931e-06, + "loss": 0.7006, + "step": 24372 + }, + { + "epoch": 0.72, + "learning_rate": 1.969546680857272e-06, + "loss": 0.7775, + "step": 24373 + }, + { + "epoch": 0.72, + "learning_rate": 1.96916827065099e-06, + "loss": 0.5601, + "step": 24374 + }, + { + "epoch": 0.72, + "learning_rate": 1.9687898878865135e-06, + "loss": 0.6588, + "step": 24375 + }, + { + "epoch": 0.72, + "learning_rate": 1.9684115325672647e-06, + "loss": 0.7401, + "step": 24376 + }, + { + "epoch": 0.72, + "learning_rate": 1.968033204696674e-06, + "loss": 0.8263, + "step": 24377 + }, + { + "epoch": 0.72, + "learning_rate": 1.9676549042781624e-06, + "loss": 0.5284, + "step": 24378 + }, + { + "epoch": 0.72, + "learning_rate": 1.967276631315159e-06, + "loss": 0.5042, + "step": 24379 + }, + { + "epoch": 0.72, + "learning_rate": 1.966898385811085e-06, + "loss": 0.7353, + "step": 24380 + }, + { + "epoch": 0.72, + "learning_rate": 1.9665201677693674e-06, + "loss": 0.8237, + "step": 24381 + }, + { + "epoch": 0.72, + "learning_rate": 1.966141977193432e-06, + "loss": 0.6418, + "step": 24382 + }, + { + "epoch": 0.72, + "learning_rate": 1.965763814086699e-06, + "loss": 0.648, + "step": 24383 + }, + { + "epoch": 0.72, + "learning_rate": 1.965385678452597e-06, + "loss": 0.8023, + "step": 24384 + }, + { + "epoch": 0.72, + "learning_rate": 1.965007570294546e-06, + "loss": 0.7663, + "step": 24385 + }, + { + "epoch": 0.72, + "learning_rate": 1.9646294896159725e-06, + "loss": 0.6253, + "step": 24386 + }, + { + "epoch": 0.72, + "learning_rate": 1.9642514364202956e-06, + "loss": 0.5997, + "step": 24387 + }, + { + "epoch": 0.72, + "learning_rate": 1.963873410710943e-06, + "loss": 0.4214, + "step": 24388 + }, + { + "epoch": 0.72, + "learning_rate": 1.963495412491334e-06, + "loss": 0.5577, + "step": 24389 + }, + { + "epoch": 0.72, + "learning_rate": 1.9631174417648936e-06, + "loss": 0.706, + "step": 24390 + }, + { + "epoch": 0.72, + "learning_rate": 1.962739498535039e-06, + "loss": 0.7655, + "step": 24391 + }, + { + "epoch": 0.72, + "learning_rate": 1.9623615828052e-06, + "loss": 0.6938, + "step": 24392 + }, + { + "epoch": 0.72, + "learning_rate": 1.961983694578792e-06, + "loss": 0.6173, + "step": 24393 + }, + { + "epoch": 0.72, + "learning_rate": 1.9616058338592407e-06, + "loss": 0.7351, + "step": 24394 + }, + { + "epoch": 0.72, + "learning_rate": 1.9612280006499634e-06, + "loss": 0.7114, + "step": 24395 + }, + { + "epoch": 0.72, + "learning_rate": 1.960850194954385e-06, + "loss": 0.7434, + "step": 24396 + }, + { + "epoch": 0.72, + "learning_rate": 1.9604724167759224e-06, + "loss": 0.7723, + "step": 24397 + }, + { + "epoch": 0.72, + "learning_rate": 1.9600946661179997e-06, + "loss": 0.7773, + "step": 24398 + }, + { + "epoch": 0.72, + "learning_rate": 1.959716942984034e-06, + "loss": 0.8738, + "step": 24399 + }, + { + "epoch": 0.72, + "learning_rate": 1.9593392473774482e-06, + "loss": 0.6586, + "step": 24400 + }, + { + "epoch": 0.72, + "learning_rate": 1.958961579301659e-06, + "loss": 0.5706, + "step": 24401 + }, + { + "epoch": 0.72, + "learning_rate": 1.958583938760087e-06, + "loss": 0.4772, + "step": 24402 + }, + { + "epoch": 0.72, + "learning_rate": 1.9582063257561536e-06, + "loss": 0.8799, + "step": 24403 + }, + { + "epoch": 0.72, + "learning_rate": 1.9578287402932743e-06, + "loss": 0.8404, + "step": 24404 + }, + { + "epoch": 0.72, + "learning_rate": 1.9574511823748714e-06, + "loss": 0.7378, + "step": 24405 + }, + { + "epoch": 0.72, + "learning_rate": 1.9570736520043597e-06, + "loss": 0.8768, + "step": 24406 + }, + { + "epoch": 0.72, + "learning_rate": 1.956696149185161e-06, + "loss": 0.5705, + "step": 24407 + }, + { + "epoch": 0.72, + "learning_rate": 1.95631867392069e-06, + "loss": 1.0096, + "step": 24408 + }, + { + "epoch": 0.72, + "learning_rate": 1.9559412262143684e-06, + "loss": 0.6532, + "step": 24409 + }, + { + "epoch": 0.72, + "learning_rate": 1.955563806069607e-06, + "loss": 0.8559, + "step": 24410 + }, + { + "epoch": 0.72, + "learning_rate": 1.955186413489831e-06, + "loss": 0.611, + "step": 24411 + }, + { + "epoch": 0.72, + "learning_rate": 1.9548090484784526e-06, + "loss": 0.7435, + "step": 24412 + }, + { + "epoch": 0.72, + "learning_rate": 1.954431711038891e-06, + "loss": 0.509, + "step": 24413 + }, + { + "epoch": 0.72, + "learning_rate": 1.95405440117456e-06, + "loss": 0.8467, + "step": 24414 + }, + { + "epoch": 0.72, + "learning_rate": 1.9536771188888787e-06, + "loss": 0.665, + "step": 24415 + }, + { + "epoch": 0.72, + "learning_rate": 1.9532998641852596e-06, + "loss": 0.4996, + "step": 24416 + }, + { + "epoch": 0.72, + "learning_rate": 1.952922637067123e-06, + "loss": 0.9992, + "step": 24417 + }, + { + "epoch": 0.72, + "learning_rate": 1.9525454375378794e-06, + "loss": 0.9195, + "step": 24418 + }, + { + "epoch": 0.72, + "learning_rate": 1.952168265600949e-06, + "loss": 0.6275, + "step": 24419 + }, + { + "epoch": 0.72, + "learning_rate": 1.9517911212597418e-06, + "loss": 0.5662, + "step": 24420 + }, + { + "epoch": 0.72, + "learning_rate": 1.9514140045176757e-06, + "loss": 0.559, + "step": 24421 + }, + { + "epoch": 0.72, + "learning_rate": 1.951036915378166e-06, + "loss": 0.8035, + "step": 24422 + }, + { + "epoch": 0.72, + "learning_rate": 1.9506598538446237e-06, + "loss": 0.6762, + "step": 24423 + }, + { + "epoch": 0.72, + "learning_rate": 1.9502828199204667e-06, + "loss": 0.5899, + "step": 24424 + }, + { + "epoch": 0.72, + "learning_rate": 1.9499058136091048e-06, + "loss": 0.5558, + "step": 24425 + }, + { + "epoch": 0.72, + "learning_rate": 1.9495288349139552e-06, + "loss": 0.6189, + "step": 24426 + }, + { + "epoch": 0.72, + "learning_rate": 1.949151883838427e-06, + "loss": 0.8843, + "step": 24427 + }, + { + "epoch": 0.72, + "learning_rate": 1.948774960385938e-06, + "loss": 0.8111, + "step": 24428 + }, + { + "epoch": 0.72, + "learning_rate": 1.9483980645598964e-06, + "loss": 0.7817, + "step": 24429 + }, + { + "epoch": 0.72, + "learning_rate": 1.948021196363717e-06, + "loss": 0.753, + "step": 24430 + }, + { + "epoch": 0.72, + "learning_rate": 1.947644355800811e-06, + "loss": 0.7628, + "step": 24431 + }, + { + "epoch": 0.72, + "learning_rate": 1.947267542874594e-06, + "loss": 0.9113, + "step": 24432 + }, + { + "epoch": 0.72, + "learning_rate": 1.9468907575884725e-06, + "loss": 0.6153, + "step": 24433 + }, + { + "epoch": 0.72, + "learning_rate": 1.9465139999458626e-06, + "loss": 0.9767, + "step": 24434 + }, + { + "epoch": 0.72, + "learning_rate": 1.9461372699501714e-06, + "loss": 0.6145, + "step": 24435 + }, + { + "epoch": 0.72, + "learning_rate": 1.9457605676048136e-06, + "loss": 0.8986, + "step": 24436 + }, + { + "epoch": 0.72, + "learning_rate": 1.9453838929131964e-06, + "loss": 0.7725, + "step": 24437 + }, + { + "epoch": 0.72, + "learning_rate": 1.945007245878734e-06, + "loss": 0.6302, + "step": 24438 + }, + { + "epoch": 0.72, + "learning_rate": 1.9446306265048324e-06, + "loss": 0.6463, + "step": 24439 + }, + { + "epoch": 0.72, + "learning_rate": 1.9442540347949054e-06, + "loss": 0.635, + "step": 24440 + }, + { + "epoch": 0.72, + "learning_rate": 1.9438774707523617e-06, + "loss": 0.6734, + "step": 24441 + }, + { + "epoch": 0.72, + "learning_rate": 1.9435009343806086e-06, + "loss": 0.8025, + "step": 24442 + }, + { + "epoch": 0.72, + "learning_rate": 1.9431244256830593e-06, + "loss": 0.7734, + "step": 24443 + }, + { + "epoch": 0.72, + "learning_rate": 1.942747944663119e-06, + "loss": 0.6907, + "step": 24444 + }, + { + "epoch": 0.72, + "learning_rate": 1.9423714913241996e-06, + "loss": 0.5653, + "step": 24445 + }, + { + "epoch": 0.72, + "learning_rate": 1.9419950656697066e-06, + "loss": 0.4864, + "step": 24446 + }, + { + "epoch": 0.72, + "learning_rate": 1.941618667703051e-06, + "loss": 0.7011, + "step": 24447 + }, + { + "epoch": 0.72, + "learning_rate": 1.9412422974276383e-06, + "loss": 0.78, + "step": 24448 + }, + { + "epoch": 0.72, + "learning_rate": 1.940865954846879e-06, + "loss": 0.8645, + "step": 24449 + }, + { + "epoch": 0.72, + "learning_rate": 1.9404896399641747e-06, + "loss": 0.6648, + "step": 24450 + }, + { + "epoch": 0.72, + "learning_rate": 1.9401133527829414e-06, + "loss": 0.8712, + "step": 24451 + }, + { + "epoch": 0.72, + "learning_rate": 1.9397370933065794e-06, + "loss": 0.7948, + "step": 24452 + }, + { + "epoch": 0.72, + "learning_rate": 1.9393608615384997e-06, + "loss": 0.8243, + "step": 24453 + }, + { + "epoch": 0.72, + "learning_rate": 1.9389846574821046e-06, + "loss": 0.7557, + "step": 24454 + }, + { + "epoch": 0.72, + "learning_rate": 1.9386084811408045e-06, + "loss": 0.7114, + "step": 24455 + }, + { + "epoch": 0.72, + "learning_rate": 1.938232332518001e-06, + "loss": 0.7842, + "step": 24456 + }, + { + "epoch": 0.72, + "learning_rate": 1.9378562116171048e-06, + "loss": 0.7159, + "step": 24457 + }, + { + "epoch": 0.72, + "learning_rate": 1.9374801184415165e-06, + "loss": 0.8809, + "step": 24458 + }, + { + "epoch": 0.72, + "learning_rate": 1.9371040529946457e-06, + "loss": 0.8006, + "step": 24459 + }, + { + "epoch": 0.72, + "learning_rate": 1.936728015279893e-06, + "loss": 0.669, + "step": 24460 + }, + { + "epoch": 0.72, + "learning_rate": 1.936352005300666e-06, + "loss": 0.705, + "step": 24461 + }, + { + "epoch": 0.72, + "learning_rate": 1.93597602306037e-06, + "loss": 0.6756, + "step": 24462 + }, + { + "epoch": 0.72, + "learning_rate": 1.935600068562406e-06, + "loss": 0.8219, + "step": 24463 + }, + { + "epoch": 0.72, + "learning_rate": 1.9352241418101814e-06, + "loss": 0.6907, + "step": 24464 + }, + { + "epoch": 0.72, + "learning_rate": 1.9348482428070966e-06, + "loss": 0.6944, + "step": 24465 + }, + { + "epoch": 0.72, + "learning_rate": 1.9344723715565584e-06, + "loss": 0.5766, + "step": 24466 + }, + { + "epoch": 0.72, + "learning_rate": 1.9340965280619668e-06, + "loss": 0.71, + "step": 24467 + }, + { + "epoch": 0.72, + "learning_rate": 1.933720712326728e-06, + "loss": 0.6314, + "step": 24468 + }, + { + "epoch": 0.72, + "learning_rate": 1.933344924354242e-06, + "loss": 0.8642, + "step": 24469 + }, + { + "epoch": 0.72, + "learning_rate": 1.9329691641479113e-06, + "loss": 0.9437, + "step": 24470 + }, + { + "epoch": 0.72, + "learning_rate": 1.9325934317111396e-06, + "loss": 0.5977, + "step": 24471 + }, + { + "epoch": 0.72, + "learning_rate": 1.9322177270473304e-06, + "loss": 0.8396, + "step": 24472 + }, + { + "epoch": 0.72, + "learning_rate": 1.931842050159881e-06, + "loss": 0.7193, + "step": 24473 + }, + { + "epoch": 0.72, + "learning_rate": 1.9314664010521976e-06, + "loss": 0.8548, + "step": 24474 + }, + { + "epoch": 0.72, + "learning_rate": 1.931090779727677e-06, + "loss": 0.7086, + "step": 24475 + }, + { + "epoch": 0.72, + "learning_rate": 1.9307151861897246e-06, + "loss": 0.5866, + "step": 24476 + }, + { + "epoch": 0.72, + "learning_rate": 1.9303396204417363e-06, + "loss": 0.8633, + "step": 24477 + }, + { + "epoch": 0.72, + "learning_rate": 1.929964082487117e-06, + "loss": 0.727, + "step": 24478 + }, + { + "epoch": 0.72, + "learning_rate": 1.929588572329263e-06, + "loss": 0.7043, + "step": 24479 + }, + { + "epoch": 0.72, + "learning_rate": 1.929213089971576e-06, + "loss": 0.8485, + "step": 24480 + }, + { + "epoch": 0.72, + "learning_rate": 1.928837635417458e-06, + "loss": 0.8433, + "step": 24481 + }, + { + "epoch": 0.72, + "learning_rate": 1.928462208670304e-06, + "loss": 0.9971, + "step": 24482 + }, + { + "epoch": 0.72, + "learning_rate": 1.928086809733518e-06, + "loss": 0.7075, + "step": 24483 + }, + { + "epoch": 0.72, + "learning_rate": 1.9277114386104943e-06, + "loss": 0.6965, + "step": 24484 + }, + { + "epoch": 0.72, + "learning_rate": 1.9273360953046353e-06, + "loss": 0.6522, + "step": 24485 + }, + { + "epoch": 0.72, + "learning_rate": 1.9269607798193363e-06, + "loss": 0.6392, + "step": 24486 + }, + { + "epoch": 0.72, + "learning_rate": 1.926585492157999e-06, + "loss": 0.6078, + "step": 24487 + }, + { + "epoch": 0.72, + "learning_rate": 1.9262102323240173e-06, + "loss": 0.7121, + "step": 24488 + }, + { + "epoch": 0.72, + "learning_rate": 1.9258350003207915e-06, + "loss": 0.6901, + "step": 24489 + }, + { + "epoch": 0.72, + "learning_rate": 1.925459796151718e-06, + "loss": 0.724, + "step": 24490 + }, + { + "epoch": 0.72, + "learning_rate": 1.925084619820196e-06, + "loss": 0.3794, + "step": 24491 + }, + { + "epoch": 0.72, + "learning_rate": 1.924709471329619e-06, + "loss": 0.8779, + "step": 24492 + }, + { + "epoch": 0.72, + "learning_rate": 1.9243343506833885e-06, + "loss": 0.8872, + "step": 24493 + }, + { + "epoch": 0.72, + "learning_rate": 1.9239592578848954e-06, + "loss": 0.5963, + "step": 24494 + }, + { + "epoch": 0.72, + "learning_rate": 1.9235841929375405e-06, + "loss": 0.5694, + "step": 24495 + }, + { + "epoch": 0.72, + "learning_rate": 1.923209155844716e-06, + "loss": 0.724, + "step": 24496 + }, + { + "epoch": 0.72, + "learning_rate": 1.9228341466098205e-06, + "loss": 0.7671, + "step": 24497 + }, + { + "epoch": 0.72, + "learning_rate": 1.9224591652362466e-06, + "loss": 0.6615, + "step": 24498 + }, + { + "epoch": 0.72, + "learning_rate": 1.9220842117273914e-06, + "loss": 0.4374, + "step": 24499 + }, + { + "epoch": 0.72, + "learning_rate": 1.921709286086649e-06, + "loss": 0.723, + "step": 24500 + }, + { + "epoch": 0.72, + "learning_rate": 1.9213343883174166e-06, + "loss": 0.661, + "step": 24501 + }, + { + "epoch": 0.72, + "learning_rate": 1.920959518423087e-06, + "loss": 1.063, + "step": 24502 + }, + { + "epoch": 0.72, + "learning_rate": 1.920584676407051e-06, + "loss": 0.6679, + "step": 24503 + }, + { + "epoch": 0.72, + "learning_rate": 1.9202098622727076e-06, + "loss": 0.8452, + "step": 24504 + }, + { + "epoch": 0.72, + "learning_rate": 1.9198350760234467e-06, + "loss": 0.6615, + "step": 24505 + }, + { + "epoch": 0.72, + "learning_rate": 1.9194603176626647e-06, + "loss": 0.6688, + "step": 24506 + }, + { + "epoch": 0.72, + "learning_rate": 1.9190855871937515e-06, + "loss": 0.7439, + "step": 24507 + }, + { + "epoch": 0.72, + "learning_rate": 1.9187108846201035e-06, + "loss": 0.5573, + "step": 24508 + }, + { + "epoch": 0.72, + "learning_rate": 1.9183362099451082e-06, + "loss": 0.8996, + "step": 24509 + }, + { + "epoch": 0.72, + "learning_rate": 1.917961563172165e-06, + "loss": 0.6495, + "step": 24510 + }, + { + "epoch": 0.72, + "learning_rate": 1.91758694430466e-06, + "loss": 0.8296, + "step": 24511 + }, + { + "epoch": 0.72, + "learning_rate": 1.9172123533459895e-06, + "loss": 0.6855, + "step": 24512 + }, + { + "epoch": 0.72, + "learning_rate": 1.916837790299542e-06, + "loss": 0.6918, + "step": 24513 + }, + { + "epoch": 0.72, + "learning_rate": 1.916463255168711e-06, + "loss": 0.8914, + "step": 24514 + }, + { + "epoch": 0.72, + "learning_rate": 1.916088747956885e-06, + "loss": 0.8537, + "step": 24515 + }, + { + "epoch": 0.72, + "learning_rate": 1.9157142686674584e-06, + "loss": 0.6576, + "step": 24516 + }, + { + "epoch": 0.72, + "learning_rate": 1.915339817303818e-06, + "loss": 0.9263, + "step": 24517 + }, + { + "epoch": 0.72, + "learning_rate": 1.914965393869358e-06, + "loss": 0.6611, + "step": 24518 + }, + { + "epoch": 0.72, + "learning_rate": 1.914590998367463e-06, + "loss": 0.7068, + "step": 24519 + }, + { + "epoch": 0.72, + "learning_rate": 1.9142166308015297e-06, + "loss": 0.6951, + "step": 24520 + }, + { + "epoch": 0.72, + "learning_rate": 1.9138422911749428e-06, + "loss": 0.5269, + "step": 24521 + }, + { + "epoch": 0.72, + "learning_rate": 1.913467979491095e-06, + "loss": 0.7247, + "step": 24522 + }, + { + "epoch": 0.72, + "learning_rate": 1.913093695753372e-06, + "loss": 0.6518, + "step": 24523 + }, + { + "epoch": 0.72, + "learning_rate": 1.9127194399651655e-06, + "loss": 0.7124, + "step": 24524 + }, + { + "epoch": 0.72, + "learning_rate": 1.912345212129862e-06, + "loss": 0.9292, + "step": 24525 + }, + { + "epoch": 0.72, + "learning_rate": 1.9119710122508517e-06, + "loss": 0.7201, + "step": 24526 + }, + { + "epoch": 0.72, + "learning_rate": 1.9115968403315224e-06, + "loss": 0.8397, + "step": 24527 + }, + { + "epoch": 0.72, + "learning_rate": 1.9112226963752595e-06, + "loss": 0.6861, + "step": 24528 + }, + { + "epoch": 0.72, + "learning_rate": 1.910848580385452e-06, + "loss": 0.8098, + "step": 24529 + }, + { + "epoch": 0.72, + "learning_rate": 1.910474492365488e-06, + "loss": 0.8408, + "step": 24530 + }, + { + "epoch": 0.72, + "learning_rate": 1.9101004323187555e-06, + "loss": 0.6333, + "step": 24531 + }, + { + "epoch": 0.72, + "learning_rate": 1.9097264002486382e-06, + "loss": 0.8637, + "step": 24532 + }, + { + "epoch": 0.72, + "learning_rate": 1.9093523961585264e-06, + "loss": 0.6497, + "step": 24533 + }, + { + "epoch": 0.72, + "learning_rate": 1.9089784200518023e-06, + "loss": 0.751, + "step": 24534 + }, + { + "epoch": 0.72, + "learning_rate": 1.9086044719318566e-06, + "loss": 0.4134, + "step": 24535 + }, + { + "epoch": 0.72, + "learning_rate": 1.90823055180207e-06, + "loss": 0.9371, + "step": 24536 + }, + { + "epoch": 0.72, + "learning_rate": 1.907856659665833e-06, + "loss": 0.6258, + "step": 24537 + }, + { + "epoch": 0.72, + "learning_rate": 1.907482795526527e-06, + "loss": 0.8005, + "step": 24538 + }, + { + "epoch": 0.72, + "learning_rate": 1.907108959387538e-06, + "loss": 0.642, + "step": 24539 + }, + { + "epoch": 0.72, + "learning_rate": 1.906735151252252e-06, + "loss": 0.5316, + "step": 24540 + }, + { + "epoch": 0.72, + "learning_rate": 1.9063613711240541e-06, + "loss": 0.6489, + "step": 24541 + }, + { + "epoch": 0.72, + "learning_rate": 1.905987619006326e-06, + "loss": 0.6819, + "step": 24542 + }, + { + "epoch": 0.72, + "learning_rate": 1.905613894902455e-06, + "loss": 0.6057, + "step": 24543 + }, + { + "epoch": 0.72, + "learning_rate": 1.9052401988158214e-06, + "loss": 0.6172, + "step": 24544 + }, + { + "epoch": 0.72, + "learning_rate": 1.9048665307498115e-06, + "loss": 0.6762, + "step": 24545 + }, + { + "epoch": 0.72, + "learning_rate": 1.9044928907078063e-06, + "loss": 0.888, + "step": 24546 + }, + { + "epoch": 0.72, + "learning_rate": 1.9041192786931916e-06, + "loss": 0.873, + "step": 24547 + }, + { + "epoch": 0.72, + "learning_rate": 1.903745694709347e-06, + "loss": 0.7371, + "step": 24548 + }, + { + "epoch": 0.72, + "learning_rate": 1.903372138759656e-06, + "loss": 0.6457, + "step": 24549 + }, + { + "epoch": 0.72, + "learning_rate": 1.9029986108475035e-06, + "loss": 0.7435, + "step": 24550 + }, + { + "epoch": 0.72, + "learning_rate": 1.9026251109762671e-06, + "loss": 0.6937, + "step": 24551 + }, + { + "epoch": 0.72, + "learning_rate": 1.9022516391493334e-06, + "loss": 0.7944, + "step": 24552 + }, + { + "epoch": 0.72, + "learning_rate": 1.9018781953700794e-06, + "loss": 0.7688, + "step": 24553 + }, + { + "epoch": 0.72, + "learning_rate": 1.9015047796418896e-06, + "loss": 0.637, + "step": 24554 + }, + { + "epoch": 0.72, + "learning_rate": 1.9011313919681423e-06, + "loss": 0.7319, + "step": 24555 + }, + { + "epoch": 0.72, + "learning_rate": 1.9007580323522212e-06, + "loss": 0.7792, + "step": 24556 + }, + { + "epoch": 0.72, + "learning_rate": 1.900384700797503e-06, + "loss": 0.6025, + "step": 24557 + }, + { + "epoch": 0.72, + "learning_rate": 1.9000113973073709e-06, + "loss": 0.6763, + "step": 24558 + }, + { + "epoch": 0.72, + "learning_rate": 1.8996381218852033e-06, + "loss": 0.8645, + "step": 24559 + }, + { + "epoch": 0.72, + "learning_rate": 1.8992648745343827e-06, + "loss": 0.65, + "step": 24560 + }, + { + "epoch": 0.72, + "learning_rate": 1.8988916552582854e-06, + "loss": 0.8062, + "step": 24561 + }, + { + "epoch": 0.72, + "learning_rate": 1.8985184640602926e-06, + "loss": 0.6354, + "step": 24562 + }, + { + "epoch": 0.72, + "learning_rate": 1.8981453009437811e-06, + "loss": 0.7188, + "step": 24563 + }, + { + "epoch": 0.72, + "learning_rate": 1.897772165912133e-06, + "loss": 0.5291, + "step": 24564 + }, + { + "epoch": 0.72, + "learning_rate": 1.8973990589687224e-06, + "loss": 0.7356, + "step": 24565 + }, + { + "epoch": 0.72, + "learning_rate": 1.8970259801169316e-06, + "loss": 0.7397, + "step": 24566 + }, + { + "epoch": 0.72, + "learning_rate": 1.896652929360135e-06, + "loss": 0.6815, + "step": 24567 + }, + { + "epoch": 0.72, + "learning_rate": 1.8962799067017119e-06, + "loss": 0.6276, + "step": 24568 + }, + { + "epoch": 0.72, + "learning_rate": 1.8959069121450413e-06, + "loss": 0.6561, + "step": 24569 + }, + { + "epoch": 0.72, + "learning_rate": 1.8955339456934973e-06, + "loss": 0.6308, + "step": 24570 + }, + { + "epoch": 0.72, + "learning_rate": 1.8951610073504605e-06, + "loss": 0.7583, + "step": 24571 + }, + { + "epoch": 0.72, + "learning_rate": 1.8947880971193033e-06, + "loss": 0.722, + "step": 24572 + }, + { + "epoch": 0.72, + "learning_rate": 1.8944152150034062e-06, + "loss": 0.7601, + "step": 24573 + }, + { + "epoch": 0.72, + "learning_rate": 1.8940423610061414e-06, + "loss": 0.8302, + "step": 24574 + }, + { + "epoch": 0.72, + "learning_rate": 1.8936695351308887e-06, + "loss": 0.508, + "step": 24575 + }, + { + "epoch": 0.72, + "learning_rate": 1.89329673738102e-06, + "loss": 0.6484, + "step": 24576 + }, + { + "epoch": 0.72, + "learning_rate": 1.8929239677599143e-06, + "loss": 0.7709, + "step": 24577 + }, + { + "epoch": 0.72, + "learning_rate": 1.8925512262709417e-06, + "loss": 0.6152, + "step": 24578 + }, + { + "epoch": 0.72, + "learning_rate": 1.8921785129174841e-06, + "loss": 0.7352, + "step": 24579 + }, + { + "epoch": 0.72, + "learning_rate": 1.89180582770291e-06, + "loss": 0.6292, + "step": 24580 + }, + { + "epoch": 0.72, + "learning_rate": 1.8914331706305983e-06, + "loss": 0.9062, + "step": 24581 + }, + { + "epoch": 0.72, + "learning_rate": 1.891060541703919e-06, + "loss": 0.5856, + "step": 24582 + }, + { + "epoch": 0.72, + "learning_rate": 1.8906879409262503e-06, + "loss": 0.807, + "step": 24583 + }, + { + "epoch": 0.72, + "learning_rate": 1.8903153683009605e-06, + "loss": 0.9995, + "step": 24584 + }, + { + "epoch": 0.72, + "learning_rate": 1.8899428238314288e-06, + "loss": 0.8971, + "step": 24585 + }, + { + "epoch": 0.72, + "learning_rate": 1.8895703075210231e-06, + "loss": 0.6408, + "step": 24586 + }, + { + "epoch": 0.72, + "learning_rate": 1.8891978193731209e-06, + "loss": 0.7836, + "step": 24587 + }, + { + "epoch": 0.72, + "learning_rate": 1.88882535939109e-06, + "loss": 0.8238, + "step": 24588 + }, + { + "epoch": 0.72, + "learning_rate": 1.8884529275783054e-06, + "loss": 0.7199, + "step": 24589 + }, + { + "epoch": 0.72, + "learning_rate": 1.8880805239381406e-06, + "loss": 0.9484, + "step": 24590 + }, + { + "epoch": 0.72, + "learning_rate": 1.887708148473964e-06, + "loss": 0.8217, + "step": 24591 + }, + { + "epoch": 0.72, + "learning_rate": 1.8873358011891508e-06, + "loss": 0.7646, + "step": 24592 + }, + { + "epoch": 0.72, + "learning_rate": 1.8869634820870686e-06, + "loss": 0.6929, + "step": 24593 + }, + { + "epoch": 0.72, + "learning_rate": 1.8865911911710922e-06, + "loss": 0.894, + "step": 24594 + }, + { + "epoch": 0.72, + "learning_rate": 1.8862189284445886e-06, + "loss": 0.9868, + "step": 24595 + }, + { + "epoch": 0.72, + "learning_rate": 1.8858466939109321e-06, + "loss": 0.6836, + "step": 24596 + }, + { + "epoch": 0.72, + "learning_rate": 1.8854744875734899e-06, + "loss": 0.83, + "step": 24597 + }, + { + "epoch": 0.72, + "learning_rate": 1.8851023094356324e-06, + "loss": 1.0379, + "step": 24598 + }, + { + "epoch": 0.72, + "learning_rate": 1.8847301595007311e-06, + "loss": 0.6168, + "step": 24599 + }, + { + "epoch": 0.72, + "learning_rate": 1.884358037772156e-06, + "loss": 0.5536, + "step": 24600 + }, + { + "epoch": 0.72, + "learning_rate": 1.8839859442532731e-06, + "loss": 0.925, + "step": 24601 + }, + { + "epoch": 0.72, + "learning_rate": 1.883613878947455e-06, + "loss": 0.7735, + "step": 24602 + }, + { + "epoch": 0.72, + "learning_rate": 1.8832418418580678e-06, + "loss": 0.8104, + "step": 24603 + }, + { + "epoch": 0.72, + "learning_rate": 1.8828698329884826e-06, + "loss": 0.6943, + "step": 24604 + }, + { + "epoch": 0.72, + "learning_rate": 1.882497852342064e-06, + "loss": 0.4987, + "step": 24605 + }, + { + "epoch": 0.72, + "learning_rate": 1.8821258999221836e-06, + "loss": 0.815, + "step": 24606 + }, + { + "epoch": 0.72, + "learning_rate": 1.8817539757322068e-06, + "loss": 0.6876, + "step": 24607 + }, + { + "epoch": 0.72, + "learning_rate": 1.8813820797755012e-06, + "loss": 0.5778, + "step": 24608 + }, + { + "epoch": 0.72, + "learning_rate": 1.8810102120554362e-06, + "loss": 0.6568, + "step": 24609 + }, + { + "epoch": 0.72, + "learning_rate": 1.8806383725753763e-06, + "loss": 0.6458, + "step": 24610 + }, + { + "epoch": 0.72, + "learning_rate": 1.8802665613386905e-06, + "loss": 0.8885, + "step": 24611 + }, + { + "epoch": 0.72, + "learning_rate": 1.8798947783487426e-06, + "loss": 0.7603, + "step": 24612 + }, + { + "epoch": 0.72, + "learning_rate": 1.8795230236089012e-06, + "loss": 0.9254, + "step": 24613 + }, + { + "epoch": 0.72, + "learning_rate": 1.87915129712253e-06, + "loss": 0.8902, + "step": 24614 + }, + { + "epoch": 0.72, + "learning_rate": 1.878779598892998e-06, + "loss": 0.6351, + "step": 24615 + }, + { + "epoch": 0.72, + "learning_rate": 1.8784079289236662e-06, + "loss": 0.8873, + "step": 24616 + }, + { + "epoch": 0.72, + "learning_rate": 1.8780362872179025e-06, + "loss": 0.7397, + "step": 24617 + }, + { + "epoch": 0.72, + "learning_rate": 1.877664673779071e-06, + "loss": 0.8392, + "step": 24618 + }, + { + "epoch": 0.72, + "learning_rate": 1.877293088610539e-06, + "loss": 0.5153, + "step": 24619 + }, + { + "epoch": 0.72, + "learning_rate": 1.8769215317156669e-06, + "loss": 0.8633, + "step": 24620 + }, + { + "epoch": 0.72, + "learning_rate": 1.8765500030978223e-06, + "loss": 0.7457, + "step": 24621 + }, + { + "epoch": 0.72, + "learning_rate": 1.8761785027603657e-06, + "loss": 0.8039, + "step": 24622 + }, + { + "epoch": 0.72, + "learning_rate": 1.8758070307066645e-06, + "loss": 0.7073, + "step": 24623 + }, + { + "epoch": 0.72, + "learning_rate": 1.875435586940078e-06, + "loss": 0.7699, + "step": 24624 + }, + { + "epoch": 0.72, + "learning_rate": 1.875064171463974e-06, + "loss": 0.6545, + "step": 24625 + }, + { + "epoch": 0.72, + "learning_rate": 1.8746927842817103e-06, + "loss": 0.7125, + "step": 24626 + }, + { + "epoch": 0.72, + "learning_rate": 1.8743214253966525e-06, + "loss": 0.6573, + "step": 24627 + }, + { + "epoch": 0.72, + "learning_rate": 1.8739500948121642e-06, + "loss": 0.8039, + "step": 24628 + }, + { + "epoch": 0.72, + "learning_rate": 1.8735787925316035e-06, + "loss": 0.6781, + "step": 24629 + }, + { + "epoch": 0.72, + "learning_rate": 1.873207518558337e-06, + "loss": 0.5714, + "step": 24630 + }, + { + "epoch": 0.72, + "learning_rate": 1.8728362728957216e-06, + "loss": 0.7913, + "step": 24631 + }, + { + "epoch": 0.72, + "learning_rate": 1.872465055547123e-06, + "loss": 0.6337, + "step": 24632 + }, + { + "epoch": 0.72, + "learning_rate": 1.8720938665158984e-06, + "loss": 0.6471, + "step": 24633 + }, + { + "epoch": 0.72, + "learning_rate": 1.8717227058054122e-06, + "loss": 0.8081, + "step": 24634 + }, + { + "epoch": 0.72, + "learning_rate": 1.8713515734190212e-06, + "loss": 0.6918, + "step": 24635 + }, + { + "epoch": 0.72, + "learning_rate": 1.8709804693600897e-06, + "loss": 0.6143, + "step": 24636 + }, + { + "epoch": 0.72, + "learning_rate": 1.8706093936319726e-06, + "loss": 0.6264, + "step": 24637 + }, + { + "epoch": 0.72, + "learning_rate": 1.8702383462380358e-06, + "loss": 0.6611, + "step": 24638 + }, + { + "epoch": 0.72, + "learning_rate": 1.8698673271816342e-06, + "loss": 0.4593, + "step": 24639 + }, + { + "epoch": 0.72, + "learning_rate": 1.8694963364661306e-06, + "loss": 0.595, + "step": 24640 + }, + { + "epoch": 0.72, + "learning_rate": 1.8691253740948801e-06, + "loss": 0.6139, + "step": 24641 + }, + { + "epoch": 0.72, + "learning_rate": 1.868754440071246e-06, + "loss": 0.6289, + "step": 24642 + }, + { + "epoch": 0.72, + "learning_rate": 1.8683835343985823e-06, + "loss": 0.6203, + "step": 24643 + }, + { + "epoch": 0.72, + "learning_rate": 1.8680126570802509e-06, + "loss": 0.6089, + "step": 24644 + }, + { + "epoch": 0.72, + "learning_rate": 1.8676418081196067e-06, + "loss": 0.5355, + "step": 24645 + }, + { + "epoch": 0.72, + "learning_rate": 1.8672709875200107e-06, + "loss": 0.7258, + "step": 24646 + }, + { + "epoch": 0.72, + "learning_rate": 1.866900195284817e-06, + "loss": 0.8042, + "step": 24647 + }, + { + "epoch": 0.72, + "learning_rate": 1.8665294314173848e-06, + "loss": 0.7176, + "step": 24648 + }, + { + "epoch": 0.72, + "learning_rate": 1.8661586959210725e-06, + "loss": 0.7625, + "step": 24649 + }, + { + "epoch": 0.72, + "learning_rate": 1.865787988799233e-06, + "loss": 0.6309, + "step": 24650 + }, + { + "epoch": 0.72, + "learning_rate": 1.865417310055227e-06, + "loss": 0.7155, + "step": 24651 + }, + { + "epoch": 0.72, + "learning_rate": 1.8650466596924065e-06, + "loss": 0.8296, + "step": 24652 + }, + { + "epoch": 0.72, + "learning_rate": 1.8646760377141315e-06, + "loss": 1.0786, + "step": 24653 + }, + { + "epoch": 0.72, + "learning_rate": 1.864305444123754e-06, + "loss": 0.7079, + "step": 24654 + }, + { + "epoch": 0.72, + "learning_rate": 1.8639348789246332e-06, + "loss": 0.7515, + "step": 24655 + }, + { + "epoch": 0.72, + "learning_rate": 1.86356434212012e-06, + "loss": 0.5256, + "step": 24656 + }, + { + "epoch": 0.72, + "learning_rate": 1.8631938337135712e-06, + "loss": 0.7825, + "step": 24657 + }, + { + "epoch": 0.72, + "learning_rate": 1.8628233537083428e-06, + "loss": 0.5429, + "step": 24658 + }, + { + "epoch": 0.72, + "learning_rate": 1.8624529021077898e-06, + "loss": 0.5518, + "step": 24659 + }, + { + "epoch": 0.72, + "learning_rate": 1.8620824789152624e-06, + "loss": 0.8874, + "step": 24660 + }, + { + "epoch": 0.72, + "learning_rate": 1.861712084134119e-06, + "loss": 0.7646, + "step": 24661 + }, + { + "epoch": 0.72, + "learning_rate": 1.8613417177677095e-06, + "loss": 0.6525, + "step": 24662 + }, + { + "epoch": 0.72, + "learning_rate": 1.8609713798193908e-06, + "loss": 0.5327, + "step": 24663 + }, + { + "epoch": 0.72, + "learning_rate": 1.8606010702925115e-06, + "loss": 0.7799, + "step": 24664 + }, + { + "epoch": 0.72, + "learning_rate": 1.8602307891904297e-06, + "loss": 0.6621, + "step": 24665 + }, + { + "epoch": 0.72, + "learning_rate": 1.859860536516493e-06, + "loss": 0.6127, + "step": 24666 + }, + { + "epoch": 0.72, + "learning_rate": 1.8594903122740566e-06, + "loss": 0.4445, + "step": 24667 + }, + { + "epoch": 0.72, + "learning_rate": 1.8591201164664736e-06, + "loss": 0.7535, + "step": 24668 + }, + { + "epoch": 0.72, + "learning_rate": 1.8587499490970928e-06, + "loss": 0.8941, + "step": 24669 + }, + { + "epoch": 0.72, + "learning_rate": 1.858379810169269e-06, + "loss": 0.9737, + "step": 24670 + }, + { + "epoch": 0.72, + "learning_rate": 1.8580096996863501e-06, + "loss": 0.9407, + "step": 24671 + }, + { + "epoch": 0.72, + "learning_rate": 1.8576396176516903e-06, + "loss": 0.7095, + "step": 24672 + }, + { + "epoch": 0.72, + "learning_rate": 1.8572695640686373e-06, + "loss": 0.9077, + "step": 24673 + }, + { + "epoch": 0.72, + "learning_rate": 1.8568995389405454e-06, + "loss": 0.747, + "step": 24674 + }, + { + "epoch": 0.72, + "learning_rate": 1.8565295422707612e-06, + "loss": 0.712, + "step": 24675 + }, + { + "epoch": 0.72, + "learning_rate": 1.856159574062636e-06, + "loss": 1.0457, + "step": 24676 + }, + { + "epoch": 0.72, + "learning_rate": 1.8557896343195203e-06, + "loss": 0.8067, + "step": 24677 + }, + { + "epoch": 0.73, + "learning_rate": 1.8554197230447646e-06, + "loss": 0.6646, + "step": 24678 + }, + { + "epoch": 0.73, + "learning_rate": 1.855049840241715e-06, + "loss": 0.8338, + "step": 24679 + }, + { + "epoch": 0.73, + "learning_rate": 1.8546799859137244e-06, + "loss": 0.719, + "step": 24680 + }, + { + "epoch": 0.73, + "learning_rate": 1.8543101600641377e-06, + "loss": 0.9402, + "step": 24681 + }, + { + "epoch": 0.73, + "learning_rate": 1.8539403626963064e-06, + "loss": 0.8428, + "step": 24682 + }, + { + "epoch": 0.73, + "learning_rate": 1.8535705938135763e-06, + "loss": 0.6646, + "step": 24683 + }, + { + "epoch": 0.73, + "learning_rate": 1.853200853419298e-06, + "loss": 0.8868, + "step": 24684 + }, + { + "epoch": 0.73, + "learning_rate": 1.852831141516816e-06, + "loss": 0.5788, + "step": 24685 + }, + { + "epoch": 0.73, + "learning_rate": 1.8524614581094796e-06, + "loss": 0.936, + "step": 24686 + }, + { + "epoch": 0.73, + "learning_rate": 1.8520918032006374e-06, + "loss": 0.696, + "step": 24687 + }, + { + "epoch": 0.73, + "learning_rate": 1.8517221767936328e-06, + "loss": 0.6236, + "step": 24688 + }, + { + "epoch": 0.73, + "learning_rate": 1.851352578891817e-06, + "loss": 0.6315, + "step": 24689 + }, + { + "epoch": 0.73, + "learning_rate": 1.8509830094985314e-06, + "loss": 0.7075, + "step": 24690 + }, + { + "epoch": 0.73, + "learning_rate": 1.8506134686171267e-06, + "loss": 0.695, + "step": 24691 + }, + { + "epoch": 0.73, + "learning_rate": 1.850243956250945e-06, + "loss": 0.7251, + "step": 24692 + }, + { + "epoch": 0.73, + "learning_rate": 1.8498744724033357e-06, + "loss": 0.7229, + "step": 24693 + }, + { + "epoch": 0.73, + "learning_rate": 1.8495050170776402e-06, + "loss": 0.6322, + "step": 24694 + }, + { + "epoch": 0.73, + "learning_rate": 1.8491355902772074e-06, + "loss": 0.7443, + "step": 24695 + }, + { + "epoch": 0.73, + "learning_rate": 1.8487661920053767e-06, + "loss": 0.6726, + "step": 24696 + }, + { + "epoch": 0.73, + "learning_rate": 1.8483968222655002e-06, + "loss": 0.7179, + "step": 24697 + }, + { + "epoch": 0.73, + "learning_rate": 1.8480274810609167e-06, + "loss": 0.8388, + "step": 24698 + }, + { + "epoch": 0.73, + "learning_rate": 1.847658168394974e-06, + "loss": 0.539, + "step": 24699 + }, + { + "epoch": 0.73, + "learning_rate": 1.8472888842710118e-06, + "loss": 0.6838, + "step": 24700 + }, + { + "epoch": 0.73, + "learning_rate": 1.846919628692378e-06, + "loss": 0.8415, + "step": 24701 + }, + { + "epoch": 0.73, + "learning_rate": 1.846550401662412e-06, + "loss": 0.7242, + "step": 24702 + }, + { + "epoch": 0.73, + "learning_rate": 1.84618120318446e-06, + "loss": 0.703, + "step": 24703 + }, + { + "epoch": 0.73, + "learning_rate": 1.8458120332618618e-06, + "loss": 0.9119, + "step": 24704 + }, + { + "epoch": 0.73, + "learning_rate": 1.8454428918979633e-06, + "loss": 0.6957, + "step": 24705 + }, + { + "epoch": 0.73, + "learning_rate": 1.8450737790961037e-06, + "loss": 0.6808, + "step": 24706 + }, + { + "epoch": 0.73, + "learning_rate": 1.8447046948596264e-06, + "loss": 0.9969, + "step": 24707 + }, + { + "epoch": 0.73, + "learning_rate": 1.8443356391918748e-06, + "loss": 0.7881, + "step": 24708 + }, + { + "epoch": 0.73, + "learning_rate": 1.8439666120961868e-06, + "loss": 0.9327, + "step": 24709 + }, + { + "epoch": 0.73, + "learning_rate": 1.8435976135759076e-06, + "loss": 0.9366, + "step": 24710 + }, + { + "epoch": 0.73, + "learning_rate": 1.8432286436343743e-06, + "loss": 0.8113, + "step": 24711 + }, + { + "epoch": 0.73, + "learning_rate": 1.8428597022749318e-06, + "loss": 0.6676, + "step": 24712 + }, + { + "epoch": 0.73, + "learning_rate": 1.8424907895009165e-06, + "loss": 0.6628, + "step": 24713 + }, + { + "epoch": 0.73, + "learning_rate": 1.8421219053156719e-06, + "loss": 0.63, + "step": 24714 + }, + { + "epoch": 0.73, + "learning_rate": 1.8417530497225345e-06, + "loss": 0.8885, + "step": 24715 + }, + { + "epoch": 0.73, + "learning_rate": 1.8413842227248463e-06, + "loss": 0.5354, + "step": 24716 + }, + { + "epoch": 0.73, + "learning_rate": 1.8410154243259464e-06, + "loss": 0.6317, + "step": 24717 + }, + { + "epoch": 0.73, + "learning_rate": 1.8406466545291763e-06, + "loss": 0.958, + "step": 24718 + }, + { + "epoch": 0.73, + "learning_rate": 1.8402779133378707e-06, + "loss": 0.827, + "step": 24719 + }, + { + "epoch": 0.73, + "learning_rate": 1.8399092007553716e-06, + "loss": 0.9334, + "step": 24720 + }, + { + "epoch": 0.73, + "learning_rate": 1.8395405167850144e-06, + "loss": 0.904, + "step": 24721 + }, + { + "epoch": 0.73, + "learning_rate": 1.83917186143014e-06, + "loss": 0.4599, + "step": 24722 + }, + { + "epoch": 0.73, + "learning_rate": 1.8388032346940844e-06, + "loss": 0.8193, + "step": 24723 + }, + { + "epoch": 0.73, + "learning_rate": 1.8384346365801874e-06, + "loss": 0.7401, + "step": 24724 + }, + { + "epoch": 0.73, + "learning_rate": 1.8380660670917833e-06, + "loss": 0.4456, + "step": 24725 + }, + { + "epoch": 0.73, + "learning_rate": 1.8376975262322106e-06, + "loss": 0.7858, + "step": 24726 + }, + { + "epoch": 0.73, + "learning_rate": 1.8373290140048077e-06, + "loss": 0.9989, + "step": 24727 + }, + { + "epoch": 0.73, + "learning_rate": 1.836960530412909e-06, + "loss": 0.7233, + "step": 24728 + }, + { + "epoch": 0.73, + "learning_rate": 1.8365920754598532e-06, + "loss": 0.6286, + "step": 24729 + }, + { + "epoch": 0.73, + "learning_rate": 1.8362236491489726e-06, + "loss": 0.949, + "step": 24730 + }, + { + "epoch": 0.73, + "learning_rate": 1.8358552514836076e-06, + "loss": 0.8945, + "step": 24731 + }, + { + "epoch": 0.73, + "learning_rate": 1.8354868824670896e-06, + "loss": 0.8697, + "step": 24732 + }, + { + "epoch": 0.73, + "learning_rate": 1.8351185421027573e-06, + "loss": 0.6653, + "step": 24733 + }, + { + "epoch": 0.73, + "learning_rate": 1.834750230393943e-06, + "loss": 0.6153, + "step": 24734 + }, + { + "epoch": 0.73, + "learning_rate": 1.834381947343984e-06, + "loss": 0.8285, + "step": 24735 + }, + { + "epoch": 0.73, + "learning_rate": 1.8340136929562096e-06, + "loss": 0.9194, + "step": 24736 + }, + { + "epoch": 0.73, + "learning_rate": 1.8336454672339621e-06, + "loss": 0.5765, + "step": 24737 + }, + { + "epoch": 0.73, + "learning_rate": 1.833277270180569e-06, + "loss": 0.6751, + "step": 24738 + }, + { + "epoch": 0.73, + "learning_rate": 1.8329091017993682e-06, + "loss": 0.6296, + "step": 24739 + }, + { + "epoch": 0.73, + "learning_rate": 1.8325409620936896e-06, + "loss": 0.6106, + "step": 24740 + }, + { + "epoch": 0.73, + "learning_rate": 1.8321728510668702e-06, + "loss": 0.6246, + "step": 24741 + }, + { + "epoch": 0.73, + "learning_rate": 1.831804768722239e-06, + "loss": 0.7066, + "step": 24742 + }, + { + "epoch": 0.73, + "learning_rate": 1.8314367150631324e-06, + "loss": 0.5337, + "step": 24743 + }, + { + "epoch": 0.73, + "learning_rate": 1.8310686900928787e-06, + "loss": 0.6186, + "step": 24744 + }, + { + "epoch": 0.73, + "learning_rate": 1.830700693814813e-06, + "loss": 0.9392, + "step": 24745 + }, + { + "epoch": 0.73, + "learning_rate": 1.8303327262322685e-06, + "loss": 0.774, + "step": 24746 + }, + { + "epoch": 0.73, + "learning_rate": 1.8299647873485726e-06, + "loss": 0.7948, + "step": 24747 + }, + { + "epoch": 0.73, + "learning_rate": 1.8295968771670614e-06, + "loss": 0.7244, + "step": 24748 + }, + { + "epoch": 0.73, + "learning_rate": 1.8292289956910614e-06, + "loss": 0.8963, + "step": 24749 + }, + { + "epoch": 0.73, + "learning_rate": 1.8288611429239078e-06, + "loss": 0.6033, + "step": 24750 + }, + { + "epoch": 0.73, + "learning_rate": 1.828493318868928e-06, + "loss": 0.7211, + "step": 24751 + }, + { + "epoch": 0.73, + "learning_rate": 1.8281255235294547e-06, + "loss": 0.7284, + "step": 24752 + }, + { + "epoch": 0.73, + "learning_rate": 1.827757756908815e-06, + "loss": 0.962, + "step": 24753 + }, + { + "epoch": 0.73, + "learning_rate": 1.8273900190103427e-06, + "loss": 0.5427, + "step": 24754 + }, + { + "epoch": 0.73, + "learning_rate": 1.827022309837362e-06, + "loss": 0.546, + "step": 24755 + }, + { + "epoch": 0.73, + "learning_rate": 1.8266546293932087e-06, + "loss": 0.6744, + "step": 24756 + }, + { + "epoch": 0.73, + "learning_rate": 1.826286977681207e-06, + "loss": 0.5948, + "step": 24757 + }, + { + "epoch": 0.73, + "learning_rate": 1.825919354704689e-06, + "loss": 0.6278, + "step": 24758 + }, + { + "epoch": 0.73, + "learning_rate": 1.8255517604669797e-06, + "loss": 0.7206, + "step": 24759 + }, + { + "epoch": 0.73, + "learning_rate": 1.825184194971411e-06, + "loss": 0.6643, + "step": 24760 + }, + { + "epoch": 0.73, + "learning_rate": 1.8248166582213078e-06, + "loss": 0.7782, + "step": 24761 + }, + { + "epoch": 0.73, + "learning_rate": 1.8244491502200012e-06, + "loss": 0.726, + "step": 24762 + }, + { + "epoch": 0.73, + "learning_rate": 1.8240816709708148e-06, + "loss": 0.4945, + "step": 24763 + }, + { + "epoch": 0.73, + "learning_rate": 1.8237142204770792e-06, + "loss": 0.6059, + "step": 24764 + }, + { + "epoch": 0.73, + "learning_rate": 1.8233467987421183e-06, + "loss": 0.5589, + "step": 24765 + }, + { + "epoch": 0.73, + "learning_rate": 1.8229794057692606e-06, + "loss": 0.7938, + "step": 24766 + }, + { + "epoch": 0.73, + "learning_rate": 1.8226120415618343e-06, + "loss": 0.6012, + "step": 24767 + }, + { + "epoch": 0.73, + "learning_rate": 1.8222447061231618e-06, + "loss": 0.6101, + "step": 24768 + }, + { + "epoch": 0.73, + "learning_rate": 1.8218773994565725e-06, + "loss": 0.7067, + "step": 24769 + }, + { + "epoch": 0.73, + "learning_rate": 1.821510121565389e-06, + "loss": 0.9547, + "step": 24770 + }, + { + "epoch": 0.73, + "learning_rate": 1.8211428724529402e-06, + "loss": 0.9176, + "step": 24771 + }, + { + "epoch": 0.73, + "learning_rate": 1.8207756521225472e-06, + "loss": 0.7227, + "step": 24772 + }, + { + "epoch": 0.73, + "learning_rate": 1.820408460577539e-06, + "loss": 0.5148, + "step": 24773 + }, + { + "epoch": 0.73, + "learning_rate": 1.8200412978212367e-06, + "loss": 0.9154, + "step": 24774 + }, + { + "epoch": 0.73, + "learning_rate": 1.819674163856966e-06, + "loss": 0.8507, + "step": 24775 + }, + { + "epoch": 0.73, + "learning_rate": 1.8193070586880507e-06, + "loss": 0.6611, + "step": 24776 + }, + { + "epoch": 0.73, + "learning_rate": 1.8189399823178172e-06, + "loss": 0.9438, + "step": 24777 + }, + { + "epoch": 0.73, + "learning_rate": 1.8185729347495855e-06, + "loss": 0.581, + "step": 24778 + }, + { + "epoch": 0.73, + "learning_rate": 1.8182059159866822e-06, + "loss": 0.6363, + "step": 24779 + }, + { + "epoch": 0.73, + "learning_rate": 1.817838926032427e-06, + "loss": 0.6723, + "step": 24780 + }, + { + "epoch": 0.73, + "learning_rate": 1.8174719648901456e-06, + "loss": 0.6794, + "step": 24781 + }, + { + "epoch": 0.73, + "learning_rate": 1.8171050325631579e-06, + "loss": 0.7699, + "step": 24782 + }, + { + "epoch": 0.73, + "learning_rate": 1.816738129054789e-06, + "loss": 0.7782, + "step": 24783 + }, + { + "epoch": 0.73, + "learning_rate": 1.8163712543683581e-06, + "loss": 0.7449, + "step": 24784 + }, + { + "epoch": 0.73, + "learning_rate": 1.8160044085071883e-06, + "loss": 0.8713, + "step": 24785 + }, + { + "epoch": 0.73, + "learning_rate": 1.8156375914746026e-06, + "loss": 0.8487, + "step": 24786 + }, + { + "epoch": 0.73, + "learning_rate": 1.8152708032739197e-06, + "loss": 0.6062, + "step": 24787 + }, + { + "epoch": 0.73, + "learning_rate": 1.8149040439084625e-06, + "loss": 0.8405, + "step": 24788 + }, + { + "epoch": 0.73, + "learning_rate": 1.8145373133815497e-06, + "loss": 0.8261, + "step": 24789 + }, + { + "epoch": 0.73, + "learning_rate": 1.8141706116965048e-06, + "loss": 0.6937, + "step": 24790 + }, + { + "epoch": 0.73, + "learning_rate": 1.8138039388566442e-06, + "loss": 0.7231, + "step": 24791 + }, + { + "epoch": 0.73, + "learning_rate": 1.8134372948652916e-06, + "loss": 0.6794, + "step": 24792 + }, + { + "epoch": 0.73, + "learning_rate": 1.813070679725763e-06, + "loss": 0.6739, + "step": 24793 + }, + { + "epoch": 0.73, + "learning_rate": 1.812704093441382e-06, + "loss": 0.7082, + "step": 24794 + }, + { + "epoch": 0.73, + "learning_rate": 1.8123375360154615e-06, + "loss": 0.8296, + "step": 24795 + }, + { + "epoch": 0.73, + "learning_rate": 1.8119710074513275e-06, + "loss": 0.5743, + "step": 24796 + }, + { + "epoch": 0.73, + "learning_rate": 1.8116045077522943e-06, + "loss": 1.0538, + "step": 24797 + }, + { + "epoch": 0.73, + "learning_rate": 1.8112380369216826e-06, + "loss": 0.8906, + "step": 24798 + }, + { + "epoch": 0.73, + "learning_rate": 1.8108715949628075e-06, + "loss": 0.7257, + "step": 24799 + }, + { + "epoch": 0.73, + "learning_rate": 1.810505181878991e-06, + "loss": 0.5457, + "step": 24800 + }, + { + "epoch": 0.73, + "learning_rate": 1.8101387976735463e-06, + "loss": 0.6308, + "step": 24801 + }, + { + "epoch": 0.73, + "learning_rate": 1.8097724423497941e-06, + "loss": 0.6581, + "step": 24802 + }, + { + "epoch": 0.73, + "learning_rate": 1.8094061159110494e-06, + "loss": 0.9306, + "step": 24803 + }, + { + "epoch": 0.73, + "learning_rate": 1.809039818360629e-06, + "loss": 0.6577, + "step": 24804 + }, + { + "epoch": 0.73, + "learning_rate": 1.8086735497018522e-06, + "loss": 0.8685, + "step": 24805 + }, + { + "epoch": 0.73, + "learning_rate": 1.808307309938031e-06, + "loss": 0.7266, + "step": 24806 + }, + { + "epoch": 0.73, + "learning_rate": 1.8079410990724855e-06, + "loss": 0.6357, + "step": 24807 + }, + { + "epoch": 0.73, + "learning_rate": 1.8075749171085282e-06, + "loss": 0.7358, + "step": 24808 + }, + { + "epoch": 0.73, + "learning_rate": 1.8072087640494778e-06, + "loss": 0.5235, + "step": 24809 + }, + { + "epoch": 0.73, + "learning_rate": 1.8068426398986454e-06, + "loss": 0.7351, + "step": 24810 + }, + { + "epoch": 0.73, + "learning_rate": 1.8064765446593508e-06, + "loss": 0.8845, + "step": 24811 + }, + { + "epoch": 0.73, + "learning_rate": 1.8061104783349038e-06, + "loss": 0.9839, + "step": 24812 + }, + { + "epoch": 0.73, + "learning_rate": 1.8057444409286234e-06, + "loss": 0.6551, + "step": 24813 + }, + { + "epoch": 0.73, + "learning_rate": 1.8053784324438177e-06, + "loss": 0.4415, + "step": 24814 + }, + { + "epoch": 0.73, + "learning_rate": 1.8050124528838087e-06, + "loss": 0.6922, + "step": 24815 + }, + { + "epoch": 0.73, + "learning_rate": 1.8046465022519033e-06, + "loss": 0.6139, + "step": 24816 + }, + { + "epoch": 0.73, + "learning_rate": 1.8042805805514196e-06, + "loss": 0.5309, + "step": 24817 + }, + { + "epoch": 0.73, + "learning_rate": 1.8039146877856673e-06, + "loss": 0.7089, + "step": 24818 + }, + { + "epoch": 0.73, + "learning_rate": 1.8035488239579618e-06, + "loss": 0.8557, + "step": 24819 + }, + { + "epoch": 0.73, + "learning_rate": 1.803182989071613e-06, + "loss": 0.5816, + "step": 24820 + }, + { + "epoch": 0.73, + "learning_rate": 1.8028171831299362e-06, + "loss": 0.574, + "step": 24821 + }, + { + "epoch": 0.73, + "learning_rate": 1.8024514061362408e-06, + "loss": 0.7891, + "step": 24822 + }, + { + "epoch": 0.73, + "learning_rate": 1.8020856580938412e-06, + "loss": 0.6947, + "step": 24823 + }, + { + "epoch": 0.73, + "learning_rate": 1.8017199390060447e-06, + "loss": 0.6624, + "step": 24824 + }, + { + "epoch": 0.73, + "learning_rate": 1.8013542488761682e-06, + "loss": 0.6817, + "step": 24825 + }, + { + "epoch": 0.73, + "learning_rate": 1.800988587707519e-06, + "loss": 0.6227, + "step": 24826 + }, + { + "epoch": 0.73, + "learning_rate": 1.8006229555034104e-06, + "loss": 0.7426, + "step": 24827 + }, + { + "epoch": 0.73, + "learning_rate": 1.8002573522671513e-06, + "loss": 0.6376, + "step": 24828 + }, + { + "epoch": 0.73, + "learning_rate": 1.7998917780020508e-06, + "loss": 0.7576, + "step": 24829 + }, + { + "epoch": 0.73, + "learning_rate": 1.7995262327114217e-06, + "loss": 0.8445, + "step": 24830 + }, + { + "epoch": 0.73, + "learning_rate": 1.7991607163985702e-06, + "loss": 0.5857, + "step": 24831 + }, + { + "epoch": 0.73, + "learning_rate": 1.7987952290668097e-06, + "loss": 0.672, + "step": 24832 + }, + { + "epoch": 0.73, + "learning_rate": 1.7984297707194459e-06, + "loss": 0.6709, + "step": 24833 + }, + { + "epoch": 0.73, + "learning_rate": 1.7980643413597892e-06, + "loss": 0.6182, + "step": 24834 + }, + { + "epoch": 0.73, + "learning_rate": 1.7976989409911483e-06, + "loss": 0.5563, + "step": 24835 + }, + { + "epoch": 0.73, + "learning_rate": 1.7973335696168338e-06, + "loss": 0.5949, + "step": 24836 + }, + { + "epoch": 0.73, + "learning_rate": 1.7969682272401495e-06, + "loss": 0.7372, + "step": 24837 + }, + { + "epoch": 0.73, + "learning_rate": 1.7966029138644075e-06, + "loss": 0.6713, + "step": 24838 + }, + { + "epoch": 0.73, + "learning_rate": 1.7962376294929118e-06, + "loss": 0.8735, + "step": 24839 + }, + { + "epoch": 0.73, + "learning_rate": 1.7958723741289735e-06, + "loss": 0.5929, + "step": 24840 + }, + { + "epoch": 0.73, + "learning_rate": 1.7955071477758957e-06, + "loss": 0.5848, + "step": 24841 + }, + { + "epoch": 0.73, + "learning_rate": 1.7951419504369888e-06, + "loss": 0.6903, + "step": 24842 + }, + { + "epoch": 0.73, + "learning_rate": 1.794776782115556e-06, + "loss": 0.8883, + "step": 24843 + }, + { + "epoch": 0.73, + "learning_rate": 1.794411642814905e-06, + "loss": 0.6853, + "step": 24844 + }, + { + "epoch": 0.73, + "learning_rate": 1.7940465325383427e-06, + "loss": 0.8299, + "step": 24845 + }, + { + "epoch": 0.73, + "learning_rate": 1.793681451289176e-06, + "loss": 0.6609, + "step": 24846 + }, + { + "epoch": 0.73, + "learning_rate": 1.7933163990707075e-06, + "loss": 0.6986, + "step": 24847 + }, + { + "epoch": 0.73, + "learning_rate": 1.792951375886245e-06, + "loss": 0.8979, + "step": 24848 + }, + { + "epoch": 0.73, + "learning_rate": 1.7925863817390903e-06, + "loss": 0.592, + "step": 24849 + }, + { + "epoch": 0.73, + "learning_rate": 1.7922214166325525e-06, + "loss": 0.738, + "step": 24850 + }, + { + "epoch": 0.73, + "learning_rate": 1.7918564805699317e-06, + "loss": 0.7225, + "step": 24851 + }, + { + "epoch": 0.73, + "learning_rate": 1.7914915735545357e-06, + "loss": 0.7389, + "step": 24852 + }, + { + "epoch": 0.73, + "learning_rate": 1.7911266955896673e-06, + "loss": 0.9114, + "step": 24853 + }, + { + "epoch": 0.73, + "learning_rate": 1.7907618466786258e-06, + "loss": 0.7753, + "step": 24854 + }, + { + "epoch": 0.73, + "learning_rate": 1.7903970268247224e-06, + "loss": 0.5388, + "step": 24855 + }, + { + "epoch": 0.73, + "learning_rate": 1.7900322360312545e-06, + "loss": 0.7016, + "step": 24856 + }, + { + "epoch": 0.73, + "learning_rate": 1.7896674743015284e-06, + "loss": 0.8319, + "step": 24857 + }, + { + "epoch": 0.73, + "learning_rate": 1.7893027416388442e-06, + "loss": 0.9924, + "step": 24858 + }, + { + "epoch": 0.73, + "learning_rate": 1.7889380380465066e-06, + "loss": 0.602, + "step": 24859 + }, + { + "epoch": 0.73, + "learning_rate": 1.7885733635278146e-06, + "loss": 1.0006, + "step": 24860 + }, + { + "epoch": 0.73, + "learning_rate": 1.7882087180860735e-06, + "loss": 0.6117, + "step": 24861 + }, + { + "epoch": 0.73, + "learning_rate": 1.7878441017245817e-06, + "loss": 0.7276, + "step": 24862 + }, + { + "epoch": 0.73, + "learning_rate": 1.7874795144466433e-06, + "loss": 0.6225, + "step": 24863 + }, + { + "epoch": 0.73, + "learning_rate": 1.7871149562555556e-06, + "loss": 0.8542, + "step": 24864 + }, + { + "epoch": 0.73, + "learning_rate": 1.7867504271546242e-06, + "loss": 0.7468, + "step": 24865 + }, + { + "epoch": 0.73, + "learning_rate": 1.7863859271471468e-06, + "loss": 0.736, + "step": 24866 + }, + { + "epoch": 0.73, + "learning_rate": 1.7860214562364254e-06, + "loss": 1.1671, + "step": 24867 + }, + { + "epoch": 0.73, + "learning_rate": 1.7856570144257567e-06, + "loss": 0.7716, + "step": 24868 + }, + { + "epoch": 0.73, + "learning_rate": 1.7852926017184447e-06, + "loss": 0.8971, + "step": 24869 + }, + { + "epoch": 0.73, + "learning_rate": 1.7849282181177845e-06, + "loss": 0.6117, + "step": 24870 + }, + { + "epoch": 0.73, + "learning_rate": 1.7845638636270796e-06, + "loss": 0.6117, + "step": 24871 + }, + { + "epoch": 0.73, + "learning_rate": 1.7841995382496247e-06, + "loss": 0.8429, + "step": 24872 + }, + { + "epoch": 0.73, + "learning_rate": 1.7838352419887212e-06, + "loss": 0.8167, + "step": 24873 + }, + { + "epoch": 0.73, + "learning_rate": 1.7834709748476681e-06, + "loss": 0.6599, + "step": 24874 + }, + { + "epoch": 0.73, + "learning_rate": 1.783106736829761e-06, + "loss": 0.6278, + "step": 24875 + }, + { + "epoch": 0.73, + "learning_rate": 1.7827425279383008e-06, + "loss": 0.874, + "step": 24876 + }, + { + "epoch": 0.73, + "learning_rate": 1.7823783481765817e-06, + "loss": 0.7728, + "step": 24877 + }, + { + "epoch": 0.73, + "learning_rate": 1.7820141975479043e-06, + "loss": 0.7666, + "step": 24878 + }, + { + "epoch": 0.73, + "learning_rate": 1.7816500760555632e-06, + "loss": 0.7246, + "step": 24879 + }, + { + "epoch": 0.73, + "learning_rate": 1.7812859837028579e-06, + "loss": 0.8066, + "step": 24880 + }, + { + "epoch": 0.73, + "learning_rate": 1.780921920493081e-06, + "loss": 0.591, + "step": 24881 + }, + { + "epoch": 0.73, + "learning_rate": 1.7805578864295336e-06, + "loss": 0.8003, + "step": 24882 + }, + { + "epoch": 0.73, + "learning_rate": 1.7801938815155056e-06, + "loss": 0.7954, + "step": 24883 + }, + { + "epoch": 0.73, + "learning_rate": 1.7798299057543e-06, + "loss": 0.7165, + "step": 24884 + }, + { + "epoch": 0.73, + "learning_rate": 1.779465959149207e-06, + "loss": 0.7669, + "step": 24885 + }, + { + "epoch": 0.73, + "learning_rate": 1.7791020417035254e-06, + "loss": 0.6001, + "step": 24886 + }, + { + "epoch": 0.73, + "learning_rate": 1.7787381534205466e-06, + "loss": 0.6716, + "step": 24887 + }, + { + "epoch": 0.73, + "learning_rate": 1.7783742943035693e-06, + "loss": 0.6828, + "step": 24888 + }, + { + "epoch": 0.73, + "learning_rate": 1.7780104643558837e-06, + "loss": 0.8423, + "step": 24889 + }, + { + "epoch": 0.73, + "learning_rate": 1.7776466635807877e-06, + "loss": 0.5673, + "step": 24890 + }, + { + "epoch": 0.73, + "learning_rate": 1.777282891981572e-06, + "loss": 0.609, + "step": 24891 + }, + { + "epoch": 0.73, + "learning_rate": 1.776919149561534e-06, + "loss": 0.6363, + "step": 24892 + }, + { + "epoch": 0.73, + "learning_rate": 1.7765554363239634e-06, + "loss": 0.6907, + "step": 24893 + }, + { + "epoch": 0.73, + "learning_rate": 1.7761917522721544e-06, + "loss": 0.7056, + "step": 24894 + }, + { + "epoch": 0.73, + "learning_rate": 1.7758280974094028e-06, + "loss": 0.6109, + "step": 24895 + }, + { + "epoch": 0.73, + "learning_rate": 1.7754644717389968e-06, + "loss": 0.7821, + "step": 24896 + }, + { + "epoch": 0.73, + "learning_rate": 1.7751008752642324e-06, + "loss": 0.6621, + "step": 24897 + }, + { + "epoch": 0.73, + "learning_rate": 1.7747373079883983e-06, + "loss": 0.9167, + "step": 24898 + }, + { + "epoch": 0.73, + "learning_rate": 1.77437376991479e-06, + "loss": 0.8605, + "step": 24899 + }, + { + "epoch": 0.73, + "learning_rate": 1.7740102610466954e-06, + "loss": 0.5331, + "step": 24900 + }, + { + "epoch": 0.73, + "learning_rate": 1.7736467813874092e-06, + "loss": 0.6028, + "step": 24901 + }, + { + "epoch": 0.73, + "learning_rate": 1.7732833309402192e-06, + "loss": 1.0148, + "step": 24902 + }, + { + "epoch": 0.73, + "learning_rate": 1.7729199097084172e-06, + "loss": 0.8739, + "step": 24903 + }, + { + "epoch": 0.73, + "learning_rate": 1.7725565176952947e-06, + "loss": 0.6097, + "step": 24904 + }, + { + "epoch": 0.73, + "learning_rate": 1.7721931549041428e-06, + "loss": 0.7384, + "step": 24905 + }, + { + "epoch": 0.73, + "learning_rate": 1.771829821338249e-06, + "loss": 0.7957, + "step": 24906 + }, + { + "epoch": 0.73, + "learning_rate": 1.771466517000905e-06, + "loss": 0.6156, + "step": 24907 + }, + { + "epoch": 0.73, + "learning_rate": 1.7711032418953982e-06, + "loss": 0.7983, + "step": 24908 + }, + { + "epoch": 0.73, + "learning_rate": 1.7707399960250204e-06, + "loss": 0.7347, + "step": 24909 + }, + { + "epoch": 0.73, + "learning_rate": 1.7703767793930571e-06, + "loss": 0.8276, + "step": 24910 + }, + { + "epoch": 0.73, + "learning_rate": 1.770013592002801e-06, + "loss": 0.7741, + "step": 24911 + }, + { + "epoch": 0.73, + "learning_rate": 1.7696504338575366e-06, + "loss": 0.7425, + "step": 24912 + }, + { + "epoch": 0.73, + "learning_rate": 1.769287304960553e-06, + "loss": 0.589, + "step": 24913 + }, + { + "epoch": 0.73, + "learning_rate": 1.7689242053151413e-06, + "loss": 0.4951, + "step": 24914 + }, + { + "epoch": 0.73, + "learning_rate": 1.7685611349245847e-06, + "loss": 0.9415, + "step": 24915 + }, + { + "epoch": 0.73, + "learning_rate": 1.7681980937921738e-06, + "loss": 0.6782, + "step": 24916 + }, + { + "epoch": 0.73, + "learning_rate": 1.7678350819211925e-06, + "loss": 0.7398, + "step": 24917 + }, + { + "epoch": 0.73, + "learning_rate": 1.7674720993149314e-06, + "loss": 0.7269, + "step": 24918 + }, + { + "epoch": 0.73, + "learning_rate": 1.767109145976673e-06, + "loss": 0.6547, + "step": 24919 + }, + { + "epoch": 0.73, + "learning_rate": 1.7667462219097075e-06, + "loss": 0.9108, + "step": 24920 + }, + { + "epoch": 0.73, + "learning_rate": 1.766383327117317e-06, + "loss": 0.6937, + "step": 24921 + }, + { + "epoch": 0.73, + "learning_rate": 1.766020461602791e-06, + "loss": 0.7257, + "step": 24922 + }, + { + "epoch": 0.73, + "learning_rate": 1.7656576253694097e-06, + "loss": 0.9407, + "step": 24923 + }, + { + "epoch": 0.73, + "learning_rate": 1.765294818420465e-06, + "loss": 0.4967, + "step": 24924 + }, + { + "epoch": 0.73, + "learning_rate": 1.7649320407592363e-06, + "loss": 0.8736, + "step": 24925 + }, + { + "epoch": 0.73, + "learning_rate": 1.7645692923890128e-06, + "loss": 0.6168, + "step": 24926 + }, + { + "epoch": 0.73, + "learning_rate": 1.7642065733130748e-06, + "loss": 0.699, + "step": 24927 + }, + { + "epoch": 0.73, + "learning_rate": 1.7638438835347099e-06, + "loss": 0.6804, + "step": 24928 + }, + { + "epoch": 0.73, + "learning_rate": 1.7634812230571985e-06, + "loss": 0.6551, + "step": 24929 + }, + { + "epoch": 0.73, + "learning_rate": 1.7631185918838277e-06, + "loss": 0.8447, + "step": 24930 + }, + { + "epoch": 0.73, + "learning_rate": 1.7627559900178776e-06, + "loss": 0.799, + "step": 24931 + }, + { + "epoch": 0.73, + "learning_rate": 1.7623934174626346e-06, + "loss": 0.7851, + "step": 24932 + }, + { + "epoch": 0.73, + "learning_rate": 1.7620308742213776e-06, + "loss": 0.7351, + "step": 24933 + }, + { + "epoch": 0.73, + "learning_rate": 1.7616683602973916e-06, + "loss": 0.7428, + "step": 24934 + }, + { + "epoch": 0.73, + "learning_rate": 1.76130587569396e-06, + "loss": 0.9037, + "step": 24935 + }, + { + "epoch": 0.73, + "learning_rate": 1.760943420414362e-06, + "loss": 0.8743, + "step": 24936 + }, + { + "epoch": 0.73, + "learning_rate": 1.7605809944618824e-06, + "loss": 0.8179, + "step": 24937 + }, + { + "epoch": 0.73, + "learning_rate": 1.760218597839799e-06, + "loss": 0.6773, + "step": 24938 + }, + { + "epoch": 0.73, + "learning_rate": 1.7598562305513972e-06, + "loss": 0.7101, + "step": 24939 + }, + { + "epoch": 0.73, + "learning_rate": 1.7594938925999538e-06, + "loss": 0.7704, + "step": 24940 + }, + { + "epoch": 0.73, + "learning_rate": 1.759131583988753e-06, + "loss": 0.6996, + "step": 24941 + }, + { + "epoch": 0.73, + "learning_rate": 1.7587693047210703e-06, + "loss": 0.7161, + "step": 24942 + }, + { + "epoch": 0.73, + "learning_rate": 1.758407054800193e-06, + "loss": 0.7188, + "step": 24943 + }, + { + "epoch": 0.73, + "learning_rate": 1.7580448342293949e-06, + "loss": 0.6786, + "step": 24944 + }, + { + "epoch": 0.73, + "learning_rate": 1.7576826430119603e-06, + "loss": 0.5156, + "step": 24945 + }, + { + "epoch": 0.73, + "learning_rate": 1.757320481151164e-06, + "loss": 0.6725, + "step": 24946 + }, + { + "epoch": 0.73, + "learning_rate": 1.7569583486502894e-06, + "loss": 0.5506, + "step": 24947 + }, + { + "epoch": 0.73, + "learning_rate": 1.7565962455126113e-06, + "loss": 0.8027, + "step": 24948 + }, + { + "epoch": 0.73, + "learning_rate": 1.7562341717414117e-06, + "loss": 0.8486, + "step": 24949 + }, + { + "epoch": 0.73, + "learning_rate": 1.755872127339966e-06, + "loss": 0.9319, + "step": 24950 + }, + { + "epoch": 0.73, + "learning_rate": 1.7555101123115552e-06, + "loss": 0.7721, + "step": 24951 + }, + { + "epoch": 0.73, + "learning_rate": 1.755148126659454e-06, + "loss": 0.8664, + "step": 24952 + }, + { + "epoch": 0.73, + "learning_rate": 1.7547861703869407e-06, + "loss": 1.1583, + "step": 24953 + }, + { + "epoch": 0.73, + "learning_rate": 1.7544242434972952e-06, + "loss": 0.4688, + "step": 24954 + }, + { + "epoch": 0.73, + "learning_rate": 1.754062345993791e-06, + "loss": 0.6475, + "step": 24955 + }, + { + "epoch": 0.73, + "learning_rate": 1.7537004778797078e-06, + "loss": 0.5562, + "step": 24956 + }, + { + "epoch": 0.73, + "learning_rate": 1.7533386391583184e-06, + "loss": 0.8239, + "step": 24957 + }, + { + "epoch": 0.73, + "learning_rate": 1.7529768298329037e-06, + "loss": 0.9638, + "step": 24958 + }, + { + "epoch": 0.73, + "learning_rate": 1.7526150499067346e-06, + "loss": 0.7416, + "step": 24959 + }, + { + "epoch": 0.73, + "learning_rate": 1.7522532993830904e-06, + "loss": 0.8566, + "step": 24960 + }, + { + "epoch": 0.73, + "learning_rate": 1.751891578265244e-06, + "loss": 0.6935, + "step": 24961 + }, + { + "epoch": 0.73, + "learning_rate": 1.7515298865564717e-06, + "loss": 0.792, + "step": 24962 + }, + { + "epoch": 0.73, + "learning_rate": 1.751168224260048e-06, + "loss": 0.62, + "step": 24963 + }, + { + "epoch": 0.73, + "learning_rate": 1.7508065913792494e-06, + "loss": 0.8365, + "step": 24964 + }, + { + "epoch": 0.73, + "learning_rate": 1.7504449879173473e-06, + "loss": 0.7274, + "step": 24965 + }, + { + "epoch": 0.73, + "learning_rate": 1.7500834138776185e-06, + "loss": 0.6503, + "step": 24966 + }, + { + "epoch": 0.73, + "learning_rate": 1.7497218692633334e-06, + "loss": 0.5525, + "step": 24967 + }, + { + "epoch": 0.73, + "learning_rate": 1.7493603540777687e-06, + "loss": 0.7694, + "step": 24968 + }, + { + "epoch": 0.73, + "learning_rate": 1.7489988683241953e-06, + "loss": 0.8565, + "step": 24969 + }, + { + "epoch": 0.73, + "learning_rate": 1.7486374120058886e-06, + "loss": 0.6831, + "step": 24970 + }, + { + "epoch": 0.73, + "learning_rate": 1.7482759851261182e-06, + "loss": 0.7477, + "step": 24971 + }, + { + "epoch": 0.73, + "learning_rate": 1.747914587688158e-06, + "loss": 0.6124, + "step": 24972 + }, + { + "epoch": 0.73, + "learning_rate": 1.7475532196952822e-06, + "loss": 0.6424, + "step": 24973 + }, + { + "epoch": 0.73, + "learning_rate": 1.7471918811507592e-06, + "loss": 0.9072, + "step": 24974 + }, + { + "epoch": 0.73, + "learning_rate": 1.7468305720578643e-06, + "loss": 0.6955, + "step": 24975 + }, + { + "epoch": 0.73, + "learning_rate": 1.746469292419865e-06, + "loss": 0.6876, + "step": 24976 + }, + { + "epoch": 0.73, + "learning_rate": 1.7461080422400356e-06, + "loss": 0.4966, + "step": 24977 + }, + { + "epoch": 0.73, + "learning_rate": 1.7457468215216444e-06, + "loss": 0.6924, + "step": 24978 + }, + { + "epoch": 0.73, + "learning_rate": 1.745385630267965e-06, + "loss": 0.6901, + "step": 24979 + }, + { + "epoch": 0.73, + "learning_rate": 1.7450244684822638e-06, + "loss": 0.6423, + "step": 24980 + }, + { + "epoch": 0.73, + "learning_rate": 1.744663336167815e-06, + "loss": 0.7465, + "step": 24981 + }, + { + "epoch": 0.73, + "learning_rate": 1.7443022333278826e-06, + "loss": 0.6646, + "step": 24982 + }, + { + "epoch": 0.73, + "learning_rate": 1.7439411599657436e-06, + "loss": 0.5386, + "step": 24983 + }, + { + "epoch": 0.73, + "learning_rate": 1.743580116084661e-06, + "loss": 0.7392, + "step": 24984 + }, + { + "epoch": 0.73, + "learning_rate": 1.7432191016879085e-06, + "loss": 0.8674, + "step": 24985 + }, + { + "epoch": 0.73, + "learning_rate": 1.7428581167787506e-06, + "loss": 0.717, + "step": 24986 + }, + { + "epoch": 0.73, + "learning_rate": 1.7424971613604598e-06, + "loss": 0.6812, + "step": 24987 + }, + { + "epoch": 0.73, + "learning_rate": 1.7421362354363004e-06, + "loss": 0.6594, + "step": 24988 + }, + { + "epoch": 0.73, + "learning_rate": 1.7417753390095433e-06, + "loss": 0.6596, + "step": 24989 + }, + { + "epoch": 0.73, + "learning_rate": 1.741414472083453e-06, + "loss": 0.5462, + "step": 24990 + }, + { + "epoch": 0.73, + "learning_rate": 1.7410536346613012e-06, + "loss": 0.8394, + "step": 24991 + }, + { + "epoch": 0.73, + "learning_rate": 1.7406928267463503e-06, + "loss": 0.6092, + "step": 24992 + }, + { + "epoch": 0.73, + "learning_rate": 1.740332048341869e-06, + "loss": 0.7725, + "step": 24993 + }, + { + "epoch": 0.73, + "learning_rate": 1.7399712994511264e-06, + "loss": 0.6117, + "step": 24994 + }, + { + "epoch": 0.73, + "learning_rate": 1.739610580077385e-06, + "loss": 0.5896, + "step": 24995 + }, + { + "epoch": 0.73, + "learning_rate": 1.7392498902239142e-06, + "loss": 0.4287, + "step": 24996 + }, + { + "epoch": 0.73, + "learning_rate": 1.7388892298939757e-06, + "loss": 0.5185, + "step": 24997 + }, + { + "epoch": 0.73, + "learning_rate": 1.7385285990908397e-06, + "loss": 0.6517, + "step": 24998 + }, + { + "epoch": 0.73, + "learning_rate": 1.7381679978177669e-06, + "loss": 0.7458, + "step": 24999 + }, + { + "epoch": 0.73, + "learning_rate": 1.7378074260780265e-06, + "loss": 0.8089, + "step": 25000 + }, + { + "epoch": 0.73, + "learning_rate": 1.7374468838748777e-06, + "loss": 0.6773, + "step": 25001 + }, + { + "epoch": 0.73, + "learning_rate": 1.7370863712115914e-06, + "loss": 0.7247, + "step": 25002 + }, + { + "epoch": 0.73, + "learning_rate": 1.7367258880914274e-06, + "loss": 0.6987, + "step": 25003 + }, + { + "epoch": 0.73, + "learning_rate": 1.7363654345176517e-06, + "loss": 0.9339, + "step": 25004 + }, + { + "epoch": 0.73, + "learning_rate": 1.736005010493526e-06, + "loss": 0.5497, + "step": 25005 + }, + { + "epoch": 0.73, + "learning_rate": 1.7356446160223168e-06, + "loss": 0.6898, + "step": 25006 + }, + { + "epoch": 0.73, + "learning_rate": 1.7352842511072832e-06, + "loss": 0.7447, + "step": 25007 + }, + { + "epoch": 0.73, + "learning_rate": 1.734923915751691e-06, + "loss": 0.9379, + "step": 25008 + }, + { + "epoch": 0.73, + "learning_rate": 1.734563609958801e-06, + "loss": 0.7147, + "step": 25009 + }, + { + "epoch": 0.73, + "learning_rate": 1.7342033337318775e-06, + "loss": 0.6614, + "step": 25010 + }, + { + "epoch": 0.73, + "learning_rate": 1.7338430870741795e-06, + "loss": 0.611, + "step": 25011 + }, + { + "epoch": 0.73, + "learning_rate": 1.7334828699889705e-06, + "loss": 0.8561, + "step": 25012 + }, + { + "epoch": 0.73, + "learning_rate": 1.733122682479514e-06, + "loss": 0.8495, + "step": 25013 + }, + { + "epoch": 0.73, + "learning_rate": 1.732762524549067e-06, + "loss": 0.7741, + "step": 25014 + }, + { + "epoch": 0.73, + "learning_rate": 1.7324023962008945e-06, + "loss": 0.8624, + "step": 25015 + }, + { + "epoch": 0.73, + "learning_rate": 1.7320422974382533e-06, + "loss": 1.0398, + "step": 25016 + }, + { + "epoch": 0.73, + "learning_rate": 1.731682228264408e-06, + "loss": 0.8717, + "step": 25017 + }, + { + "epoch": 0.73, + "learning_rate": 1.7313221886826148e-06, + "loss": 0.8855, + "step": 25018 + }, + { + "epoch": 0.74, + "learning_rate": 1.7309621786961366e-06, + "loss": 0.6475, + "step": 25019 + }, + { + "epoch": 0.74, + "learning_rate": 1.7306021983082306e-06, + "loss": 0.932, + "step": 25020 + }, + { + "epoch": 0.74, + "learning_rate": 1.730242247522157e-06, + "loss": 0.9783, + "step": 25021 + }, + { + "epoch": 0.74, + "learning_rate": 1.7298823263411751e-06, + "loss": 0.7425, + "step": 25022 + }, + { + "epoch": 0.74, + "learning_rate": 1.7295224347685458e-06, + "loss": 0.6208, + "step": 25023 + }, + { + "epoch": 0.74, + "learning_rate": 1.7291625728075234e-06, + "loss": 0.6527, + "step": 25024 + }, + { + "epoch": 0.74, + "learning_rate": 1.7288027404613704e-06, + "loss": 0.6497, + "step": 25025 + }, + { + "epoch": 0.74, + "learning_rate": 1.728442937733341e-06, + "loss": 0.7561, + "step": 25026 + }, + { + "epoch": 0.74, + "learning_rate": 1.7280831646266965e-06, + "loss": 0.9709, + "step": 25027 + }, + { + "epoch": 0.74, + "learning_rate": 1.7277234211446907e-06, + "loss": 0.8101, + "step": 25028 + }, + { + "epoch": 0.74, + "learning_rate": 1.7273637072905841e-06, + "loss": 0.7062, + "step": 25029 + }, + { + "epoch": 0.74, + "learning_rate": 1.727004023067631e-06, + "loss": 0.7101, + "step": 25030 + }, + { + "epoch": 0.74, + "learning_rate": 1.726644368479089e-06, + "loss": 0.9026, + "step": 25031 + }, + { + "epoch": 0.74, + "learning_rate": 1.7262847435282164e-06, + "loss": 0.7455, + "step": 25032 + }, + { + "epoch": 0.74, + "learning_rate": 1.725925148218266e-06, + "loss": 0.5361, + "step": 25033 + }, + { + "epoch": 0.74, + "learning_rate": 1.7255655825524969e-06, + "loss": 0.4242, + "step": 25034 + }, + { + "epoch": 0.74, + "learning_rate": 1.725206046534162e-06, + "loss": 0.9025, + "step": 25035 + }, + { + "epoch": 0.74, + "learning_rate": 1.7248465401665187e-06, + "loss": 0.6371, + "step": 25036 + }, + { + "epoch": 0.74, + "learning_rate": 1.7244870634528193e-06, + "loss": 0.7714, + "step": 25037 + }, + { + "epoch": 0.74, + "learning_rate": 1.7241276163963229e-06, + "loss": 0.7265, + "step": 25038 + }, + { + "epoch": 0.74, + "learning_rate": 1.7237681990002785e-06, + "loss": 0.5765, + "step": 25039 + }, + { + "epoch": 0.74, + "learning_rate": 1.723408811267946e-06, + "loss": 0.7393, + "step": 25040 + }, + { + "epoch": 0.74, + "learning_rate": 1.7230494532025726e-06, + "loss": 0.4544, + "step": 25041 + }, + { + "epoch": 0.74, + "learning_rate": 1.7226901248074202e-06, + "loss": 0.5074, + "step": 25042 + }, + { + "epoch": 0.74, + "learning_rate": 1.7223308260857359e-06, + "loss": 0.6431, + "step": 25043 + }, + { + "epoch": 0.74, + "learning_rate": 1.7219715570407768e-06, + "loss": 0.7256, + "step": 25044 + }, + { + "epoch": 0.74, + "learning_rate": 1.7216123176757922e-06, + "loss": 0.6788, + "step": 25045 + }, + { + "epoch": 0.74, + "learning_rate": 1.7212531079940387e-06, + "loss": 0.6545, + "step": 25046 + }, + { + "epoch": 0.74, + "learning_rate": 1.7208939279987647e-06, + "loss": 0.6722, + "step": 25047 + }, + { + "epoch": 0.74, + "learning_rate": 1.7205347776932257e-06, + "loss": 0.6515, + "step": 25048 + }, + { + "epoch": 0.74, + "learning_rate": 1.7201756570806705e-06, + "loss": 0.6454, + "step": 25049 + }, + { + "epoch": 0.74, + "learning_rate": 1.719816566164354e-06, + "loss": 0.6021, + "step": 25050 + }, + { + "epoch": 0.74, + "learning_rate": 1.7194575049475237e-06, + "loss": 0.7776, + "step": 25051 + }, + { + "epoch": 0.74, + "learning_rate": 1.7190984734334321e-06, + "loss": 0.616, + "step": 25052 + }, + { + "epoch": 0.74, + "learning_rate": 1.7187394716253325e-06, + "loss": 0.4734, + "step": 25053 + }, + { + "epoch": 0.74, + "learning_rate": 1.7183804995264719e-06, + "loss": 0.6566, + "step": 25054 + }, + { + "epoch": 0.74, + "learning_rate": 1.7180215571401031e-06, + "loss": 0.6929, + "step": 25055 + }, + { + "epoch": 0.74, + "learning_rate": 1.7176626444694732e-06, + "loss": 0.8656, + "step": 25056 + }, + { + "epoch": 0.74, + "learning_rate": 1.7173037615178355e-06, + "loss": 0.8371, + "step": 25057 + }, + { + "epoch": 0.74, + "learning_rate": 1.7169449082884353e-06, + "loss": 0.6575, + "step": 25058 + }, + { + "epoch": 0.74, + "learning_rate": 1.716586084784526e-06, + "loss": 0.9984, + "step": 25059 + }, + { + "epoch": 0.74, + "learning_rate": 1.7162272910093525e-06, + "loss": 0.6847, + "step": 25060 + }, + { + "epoch": 0.74, + "learning_rate": 1.7158685269661647e-06, + "loss": 0.6331, + "step": 25061 + }, + { + "epoch": 0.74, + "learning_rate": 1.715509792658212e-06, + "loss": 0.9882, + "step": 25062 + }, + { + "epoch": 0.74, + "learning_rate": 1.7151510880887434e-06, + "loss": 0.4989, + "step": 25063 + }, + { + "epoch": 0.74, + "learning_rate": 1.7147924132610032e-06, + "loss": 0.5511, + "step": 25064 + }, + { + "epoch": 0.74, + "learning_rate": 1.714433768178243e-06, + "loss": 0.796, + "step": 25065 + }, + { + "epoch": 0.74, + "learning_rate": 1.7140751528437061e-06, + "loss": 0.8136, + "step": 25066 + }, + { + "epoch": 0.74, + "learning_rate": 1.7137165672606427e-06, + "loss": 0.961, + "step": 25067 + }, + { + "epoch": 0.74, + "learning_rate": 1.7133580114322968e-06, + "loss": 0.6398, + "step": 25068 + }, + { + "epoch": 0.74, + "learning_rate": 1.7129994853619176e-06, + "loss": 0.8068, + "step": 25069 + }, + { + "epoch": 0.74, + "learning_rate": 1.7126409890527484e-06, + "loss": 0.7126, + "step": 25070 + }, + { + "epoch": 0.74, + "learning_rate": 1.7122825225080364e-06, + "loss": 0.4384, + "step": 25071 + }, + { + "epoch": 0.74, + "learning_rate": 1.7119240857310293e-06, + "loss": 0.9565, + "step": 25072 + }, + { + "epoch": 0.74, + "learning_rate": 1.7115656787249686e-06, + "loss": 0.7117, + "step": 25073 + }, + { + "epoch": 0.74, + "learning_rate": 1.711207301493103e-06, + "loss": 0.5573, + "step": 25074 + }, + { + "epoch": 0.74, + "learning_rate": 1.7108489540386742e-06, + "loss": 0.6271, + "step": 25075 + }, + { + "epoch": 0.74, + "learning_rate": 1.7104906363649298e-06, + "loss": 0.7221, + "step": 25076 + }, + { + "epoch": 0.74, + "learning_rate": 1.710132348475111e-06, + "loss": 0.8226, + "step": 25077 + }, + { + "epoch": 0.74, + "learning_rate": 1.7097740903724647e-06, + "loss": 1.0349, + "step": 25078 + }, + { + "epoch": 0.74, + "learning_rate": 1.7094158620602313e-06, + "loss": 0.7453, + "step": 25079 + }, + { + "epoch": 0.74, + "learning_rate": 1.7090576635416567e-06, + "loss": 0.6457, + "step": 25080 + }, + { + "epoch": 0.74, + "learning_rate": 1.7086994948199837e-06, + "loss": 0.6833, + "step": 25081 + }, + { + "epoch": 0.74, + "learning_rate": 1.7083413558984567e-06, + "loss": 0.616, + "step": 25082 + }, + { + "epoch": 0.74, + "learning_rate": 1.7079832467803153e-06, + "loss": 0.6412, + "step": 25083 + }, + { + "epoch": 0.74, + "learning_rate": 1.7076251674688049e-06, + "loss": 0.7736, + "step": 25084 + }, + { + "epoch": 0.74, + "learning_rate": 1.7072671179671647e-06, + "loss": 0.6501, + "step": 25085 + }, + { + "epoch": 0.74, + "learning_rate": 1.7069090982786396e-06, + "loss": 0.6491, + "step": 25086 + }, + { + "epoch": 0.74, + "learning_rate": 1.7065511084064678e-06, + "loss": 0.6808, + "step": 25087 + }, + { + "epoch": 0.74, + "learning_rate": 1.7061931483538946e-06, + "loss": 0.6921, + "step": 25088 + }, + { + "epoch": 0.74, + "learning_rate": 1.7058352181241571e-06, + "loss": 0.8034, + "step": 25089 + }, + { + "epoch": 0.74, + "learning_rate": 1.7054773177204975e-06, + "loss": 0.9461, + "step": 25090 + }, + { + "epoch": 0.74, + "learning_rate": 1.7051194471461584e-06, + "loss": 0.8055, + "step": 25091 + }, + { + "epoch": 0.74, + "learning_rate": 1.704761606404377e-06, + "loss": 0.8359, + "step": 25092 + }, + { + "epoch": 0.74, + "learning_rate": 1.7044037954983961e-06, + "loss": 0.7895, + "step": 25093 + }, + { + "epoch": 0.74, + "learning_rate": 1.7040460144314519e-06, + "loss": 0.803, + "step": 25094 + }, + { + "epoch": 0.74, + "learning_rate": 1.703688263206788e-06, + "loss": 0.4816, + "step": 25095 + }, + { + "epoch": 0.74, + "learning_rate": 1.703330541827639e-06, + "loss": 0.6459, + "step": 25096 + }, + { + "epoch": 0.74, + "learning_rate": 1.7029728502972487e-06, + "loss": 0.4263, + "step": 25097 + }, + { + "epoch": 0.74, + "learning_rate": 1.7026151886188508e-06, + "loss": 0.7512, + "step": 25098 + }, + { + "epoch": 0.74, + "learning_rate": 1.702257556795688e-06, + "loss": 0.9173, + "step": 25099 + }, + { + "epoch": 0.74, + "learning_rate": 1.701899954830993e-06, + "loss": 0.6445, + "step": 25100 + }, + { + "epoch": 0.74, + "learning_rate": 1.7015423827280104e-06, + "loss": 0.6692, + "step": 25101 + }, + { + "epoch": 0.74, + "learning_rate": 1.7011848404899723e-06, + "loss": 0.6094, + "step": 25102 + }, + { + "epoch": 0.74, + "learning_rate": 1.7008273281201198e-06, + "loss": 0.6944, + "step": 25103 + }, + { + "epoch": 0.74, + "learning_rate": 1.7004698456216862e-06, + "loss": 0.7679, + "step": 25104 + }, + { + "epoch": 0.74, + "learning_rate": 1.7001123929979125e-06, + "loss": 0.6494, + "step": 25105 + }, + { + "epoch": 0.74, + "learning_rate": 1.6997549702520306e-06, + "loss": 0.8198, + "step": 25106 + }, + { + "epoch": 0.74, + "learning_rate": 1.69939757738728e-06, + "loss": 0.6723, + "step": 25107 + }, + { + "epoch": 0.74, + "learning_rate": 1.6990402144068947e-06, + "loss": 0.7975, + "step": 25108 + }, + { + "epoch": 0.74, + "learning_rate": 1.698682881314112e-06, + "loss": 0.7167, + "step": 25109 + }, + { + "epoch": 0.74, + "learning_rate": 1.6983255781121655e-06, + "loss": 0.5764, + "step": 25110 + }, + { + "epoch": 0.74, + "learning_rate": 1.6979683048042905e-06, + "loss": 0.8033, + "step": 25111 + }, + { + "epoch": 0.74, + "learning_rate": 1.6976110613937247e-06, + "loss": 0.7208, + "step": 25112 + }, + { + "epoch": 0.74, + "learning_rate": 1.697253847883698e-06, + "loss": 0.6061, + "step": 25113 + }, + { + "epoch": 0.74, + "learning_rate": 1.6968966642774499e-06, + "loss": 0.8205, + "step": 25114 + }, + { + "epoch": 0.74, + "learning_rate": 1.696539510578209e-06, + "loss": 0.9485, + "step": 25115 + }, + { + "epoch": 0.74, + "learning_rate": 1.696182386789214e-06, + "loss": 0.7525, + "step": 25116 + }, + { + "epoch": 0.74, + "learning_rate": 1.6958252929136942e-06, + "loss": 0.7397, + "step": 25117 + }, + { + "epoch": 0.74, + "learning_rate": 1.6954682289548863e-06, + "loss": 0.8589, + "step": 25118 + }, + { + "epoch": 0.74, + "learning_rate": 1.6951111949160198e-06, + "loss": 0.7036, + "step": 25119 + }, + { + "epoch": 0.74, + "learning_rate": 1.6947541908003296e-06, + "loss": 0.665, + "step": 25120 + }, + { + "epoch": 0.74, + "learning_rate": 1.6943972166110473e-06, + "loss": 0.8446, + "step": 25121 + }, + { + "epoch": 0.74, + "learning_rate": 1.694040272351407e-06, + "loss": 0.6044, + "step": 25122 + }, + { + "epoch": 0.74, + "learning_rate": 1.6936833580246376e-06, + "loss": 0.8724, + "step": 25123 + }, + { + "epoch": 0.74, + "learning_rate": 1.6933264736339738e-06, + "loss": 0.6779, + "step": 25124 + }, + { + "epoch": 0.74, + "learning_rate": 1.6929696191826433e-06, + "loss": 0.7875, + "step": 25125 + }, + { + "epoch": 0.74, + "learning_rate": 1.69261279467388e-06, + "loss": 0.6072, + "step": 25126 + }, + { + "epoch": 0.74, + "learning_rate": 1.6922560001109128e-06, + "loss": 0.6669, + "step": 25127 + }, + { + "epoch": 0.74, + "learning_rate": 1.691899235496975e-06, + "loss": 0.6662, + "step": 25128 + }, + { + "epoch": 0.74, + "learning_rate": 1.6915425008352904e-06, + "loss": 0.6924, + "step": 25129 + }, + { + "epoch": 0.74, + "learning_rate": 1.6911857961290973e-06, + "loss": 0.8677, + "step": 25130 + }, + { + "epoch": 0.74, + "learning_rate": 1.6908291213816218e-06, + "loss": 0.6657, + "step": 25131 + }, + { + "epoch": 0.74, + "learning_rate": 1.6904724765960912e-06, + "loss": 0.4099, + "step": 25132 + }, + { + "epoch": 0.74, + "learning_rate": 1.690115861775738e-06, + "loss": 0.745, + "step": 25133 + }, + { + "epoch": 0.74, + "learning_rate": 1.6897592769237875e-06, + "loss": 0.6732, + "step": 25134 + }, + { + "epoch": 0.74, + "learning_rate": 1.6894027220434723e-06, + "loss": 0.7434, + "step": 25135 + }, + { + "epoch": 0.74, + "learning_rate": 1.6890461971380168e-06, + "loss": 0.8457, + "step": 25136 + }, + { + "epoch": 0.74, + "learning_rate": 1.688689702210653e-06, + "loss": 0.6537, + "step": 25137 + }, + { + "epoch": 0.74, + "learning_rate": 1.688333237264605e-06, + "loss": 0.7895, + "step": 25138 + }, + { + "epoch": 0.74, + "learning_rate": 1.6879768023031017e-06, + "loss": 0.6324, + "step": 25139 + }, + { + "epoch": 0.74, + "learning_rate": 1.6876203973293708e-06, + "loss": 0.7637, + "step": 25140 + }, + { + "epoch": 0.74, + "learning_rate": 1.6872640223466407e-06, + "loss": 0.8245, + "step": 25141 + }, + { + "epoch": 0.74, + "learning_rate": 1.686907677358135e-06, + "loss": 0.6424, + "step": 25142 + }, + { + "epoch": 0.74, + "learning_rate": 1.6865513623670832e-06, + "loss": 0.6824, + "step": 25143 + }, + { + "epoch": 0.74, + "learning_rate": 1.6861950773767078e-06, + "loss": 0.756, + "step": 25144 + }, + { + "epoch": 0.74, + "learning_rate": 1.685838822390239e-06, + "loss": 0.6493, + "step": 25145 + }, + { + "epoch": 0.74, + "learning_rate": 1.6854825974108979e-06, + "loss": 0.5972, + "step": 25146 + }, + { + "epoch": 0.74, + "learning_rate": 1.6851264024419138e-06, + "loss": 0.7941, + "step": 25147 + }, + { + "epoch": 0.74, + "learning_rate": 1.6847702374865087e-06, + "loss": 0.8298, + "step": 25148 + }, + { + "epoch": 0.74, + "learning_rate": 1.6844141025479088e-06, + "loss": 0.766, + "step": 25149 + }, + { + "epoch": 0.74, + "learning_rate": 1.6840579976293382e-06, + "loss": 0.6641, + "step": 25150 + }, + { + "epoch": 0.74, + "learning_rate": 1.6837019227340234e-06, + "loss": 0.7086, + "step": 25151 + }, + { + "epoch": 0.74, + "learning_rate": 1.6833458778651846e-06, + "loss": 0.6969, + "step": 25152 + }, + { + "epoch": 0.74, + "learning_rate": 1.6829898630260494e-06, + "loss": 0.7734, + "step": 25153 + }, + { + "epoch": 0.74, + "learning_rate": 1.6826338782198375e-06, + "loss": 0.7705, + "step": 25154 + }, + { + "epoch": 0.74, + "learning_rate": 1.6822779234497754e-06, + "loss": 0.525, + "step": 25155 + }, + { + "epoch": 0.74, + "learning_rate": 1.6819219987190843e-06, + "loss": 0.5692, + "step": 25156 + }, + { + "epoch": 0.74, + "learning_rate": 1.6815661040309855e-06, + "loss": 0.7996, + "step": 25157 + }, + { + "epoch": 0.74, + "learning_rate": 1.6812102393887041e-06, + "loss": 0.862, + "step": 25158 + }, + { + "epoch": 0.74, + "learning_rate": 1.6808544047954578e-06, + "loss": 0.6735, + "step": 25159 + }, + { + "epoch": 0.74, + "learning_rate": 1.6804986002544744e-06, + "loss": 0.648, + "step": 25160 + }, + { + "epoch": 0.74, + "learning_rate": 1.680142825768971e-06, + "loss": 0.7761, + "step": 25161 + }, + { + "epoch": 0.74, + "learning_rate": 1.6797870813421723e-06, + "loss": 0.9086, + "step": 25162 + }, + { + "epoch": 0.74, + "learning_rate": 1.679431366977295e-06, + "loss": 0.4807, + "step": 25163 + }, + { + "epoch": 0.74, + "learning_rate": 1.6790756826775646e-06, + "loss": 0.7773, + "step": 25164 + }, + { + "epoch": 0.74, + "learning_rate": 1.6787200284461968e-06, + "loss": 0.6174, + "step": 25165 + }, + { + "epoch": 0.74, + "learning_rate": 1.6783644042864157e-06, + "loss": 0.6999, + "step": 25166 + }, + { + "epoch": 0.74, + "learning_rate": 1.678008810201438e-06, + "loss": 0.5386, + "step": 25167 + }, + { + "epoch": 0.74, + "learning_rate": 1.6776532461944867e-06, + "loss": 0.7161, + "step": 25168 + }, + { + "epoch": 0.74, + "learning_rate": 1.6772977122687756e-06, + "loss": 0.7563, + "step": 25169 + }, + { + "epoch": 0.74, + "learning_rate": 1.676942208427531e-06, + "loss": 0.8912, + "step": 25170 + }, + { + "epoch": 0.74, + "learning_rate": 1.6765867346739667e-06, + "loss": 0.6615, + "step": 25171 + }, + { + "epoch": 0.74, + "learning_rate": 1.6762312910113043e-06, + "loss": 0.6422, + "step": 25172 + }, + { + "epoch": 0.74, + "learning_rate": 1.6758758774427591e-06, + "loss": 0.7637, + "step": 25173 + }, + { + "epoch": 0.74, + "learning_rate": 1.6755204939715519e-06, + "loss": 0.4851, + "step": 25174 + }, + { + "epoch": 0.74, + "learning_rate": 1.6751651406008973e-06, + "loss": 0.6879, + "step": 25175 + }, + { + "epoch": 0.74, + "learning_rate": 1.674809817334016e-06, + "loss": 0.5149, + "step": 25176 + }, + { + "epoch": 0.74, + "learning_rate": 1.6744545241741222e-06, + "loss": 0.8301, + "step": 25177 + }, + { + "epoch": 0.74, + "learning_rate": 1.674099261124436e-06, + "loss": 0.7037, + "step": 25178 + }, + { + "epoch": 0.74, + "learning_rate": 1.6737440281881707e-06, + "loss": 0.6479, + "step": 25179 + }, + { + "epoch": 0.74, + "learning_rate": 1.6733888253685438e-06, + "loss": 0.9889, + "step": 25180 + }, + { + "epoch": 0.74, + "learning_rate": 1.6730336526687734e-06, + "loss": 0.6521, + "step": 25181 + }, + { + "epoch": 0.74, + "learning_rate": 1.6726785100920723e-06, + "loss": 0.7715, + "step": 25182 + }, + { + "epoch": 0.74, + "learning_rate": 1.6723233976416591e-06, + "loss": 0.6319, + "step": 25183 + }, + { + "epoch": 0.74, + "learning_rate": 1.6719683153207462e-06, + "loss": 0.6981, + "step": 25184 + }, + { + "epoch": 0.74, + "learning_rate": 1.6716132631325504e-06, + "loss": 0.9759, + "step": 25185 + }, + { + "epoch": 0.74, + "learning_rate": 1.6712582410802852e-06, + "loss": 0.6406, + "step": 25186 + }, + { + "epoch": 0.74, + "learning_rate": 1.6709032491671668e-06, + "loss": 0.7493, + "step": 25187 + }, + { + "epoch": 0.74, + "learning_rate": 1.6705482873964068e-06, + "loss": 0.8289, + "step": 25188 + }, + { + "epoch": 0.74, + "learning_rate": 1.6701933557712202e-06, + "loss": 0.8453, + "step": 25189 + }, + { + "epoch": 0.74, + "learning_rate": 1.6698384542948215e-06, + "loss": 0.7065, + "step": 25190 + }, + { + "epoch": 0.74, + "learning_rate": 1.6694835829704247e-06, + "loss": 0.5575, + "step": 25191 + }, + { + "epoch": 0.74, + "learning_rate": 1.6691287418012402e-06, + "loss": 0.8134, + "step": 25192 + }, + { + "epoch": 0.74, + "learning_rate": 1.6687739307904843e-06, + "loss": 0.6108, + "step": 25193 + }, + { + "epoch": 0.74, + "learning_rate": 1.6684191499413654e-06, + "loss": 0.6084, + "step": 25194 + }, + { + "epoch": 0.74, + "learning_rate": 1.6680643992571e-06, + "loss": 0.7687, + "step": 25195 + }, + { + "epoch": 0.74, + "learning_rate": 1.6677096787408958e-06, + "loss": 0.4504, + "step": 25196 + }, + { + "epoch": 0.74, + "learning_rate": 1.667354988395969e-06, + "loss": 0.5276, + "step": 25197 + }, + { + "epoch": 0.74, + "learning_rate": 1.6670003282255266e-06, + "loss": 0.7023, + "step": 25198 + }, + { + "epoch": 0.74, + "learning_rate": 1.6666456982327823e-06, + "loss": 0.6949, + "step": 25199 + }, + { + "epoch": 0.74, + "learning_rate": 1.666291098420948e-06, + "loss": 0.4213, + "step": 25200 + }, + { + "epoch": 0.74, + "learning_rate": 1.6659365287932317e-06, + "loss": 0.6211, + "step": 25201 + }, + { + "epoch": 0.74, + "learning_rate": 1.6655819893528464e-06, + "loss": 0.575, + "step": 25202 + }, + { + "epoch": 0.74, + "learning_rate": 1.665227480102999e-06, + "loss": 0.6364, + "step": 25203 + }, + { + "epoch": 0.74, + "learning_rate": 1.6648730010469027e-06, + "loss": 0.8488, + "step": 25204 + }, + { + "epoch": 0.74, + "learning_rate": 1.6645185521877638e-06, + "loss": 0.5736, + "step": 25205 + }, + { + "epoch": 0.74, + "learning_rate": 1.664164133528795e-06, + "loss": 0.628, + "step": 25206 + }, + { + "epoch": 0.74, + "learning_rate": 1.6638097450732016e-06, + "loss": 0.8745, + "step": 25207 + }, + { + "epoch": 0.74, + "learning_rate": 1.6634553868241942e-06, + "loss": 0.884, + "step": 25208 + }, + { + "epoch": 0.74, + "learning_rate": 1.6631010587849817e-06, + "loss": 0.5427, + "step": 25209 + }, + { + "epoch": 0.74, + "learning_rate": 1.6627467609587727e-06, + "loss": 0.7247, + "step": 25210 + }, + { + "epoch": 0.74, + "learning_rate": 1.6623924933487727e-06, + "loss": 0.6876, + "step": 25211 + }, + { + "epoch": 0.74, + "learning_rate": 1.6620382559581928e-06, + "loss": 0.7819, + "step": 25212 + }, + { + "epoch": 0.74, + "learning_rate": 1.6616840487902363e-06, + "loss": 0.5862, + "step": 25213 + }, + { + "epoch": 0.74, + "learning_rate": 1.661329871848114e-06, + "loss": 0.7338, + "step": 25214 + }, + { + "epoch": 0.74, + "learning_rate": 1.6609757251350295e-06, + "loss": 0.8603, + "step": 25215 + }, + { + "epoch": 0.74, + "learning_rate": 1.660621608654192e-06, + "loss": 0.6052, + "step": 25216 + }, + { + "epoch": 0.74, + "learning_rate": 1.660267522408805e-06, + "loss": 0.9398, + "step": 25217 + }, + { + "epoch": 0.74, + "learning_rate": 1.659913466402076e-06, + "loss": 0.6693, + "step": 25218 + }, + { + "epoch": 0.74, + "learning_rate": 1.659559440637213e-06, + "loss": 0.5364, + "step": 25219 + }, + { + "epoch": 0.74, + "learning_rate": 1.6592054451174166e-06, + "loss": 0.5811, + "step": 25220 + }, + { + "epoch": 0.74, + "learning_rate": 1.6588514798458966e-06, + "loss": 0.684, + "step": 25221 + }, + { + "epoch": 0.74, + "learning_rate": 1.6584975448258538e-06, + "loss": 0.6553, + "step": 25222 + }, + { + "epoch": 0.74, + "learning_rate": 1.6581436400604968e-06, + "loss": 0.8475, + "step": 25223 + }, + { + "epoch": 0.74, + "learning_rate": 1.6577897655530262e-06, + "loss": 0.8323, + "step": 25224 + }, + { + "epoch": 0.74, + "learning_rate": 1.6574359213066494e-06, + "loss": 0.6316, + "step": 25225 + }, + { + "epoch": 0.74, + "learning_rate": 1.6570821073245663e-06, + "loss": 0.8381, + "step": 25226 + }, + { + "epoch": 0.74, + "learning_rate": 1.6567283236099852e-06, + "loss": 0.6893, + "step": 25227 + }, + { + "epoch": 0.74, + "learning_rate": 1.6563745701661027e-06, + "loss": 0.6957, + "step": 25228 + }, + { + "epoch": 0.74, + "learning_rate": 1.6560208469961297e-06, + "loss": 0.7055, + "step": 25229 + }, + { + "epoch": 0.74, + "learning_rate": 1.6556671541032632e-06, + "loss": 0.8237, + "step": 25230 + }, + { + "epoch": 0.74, + "learning_rate": 1.6553134914907088e-06, + "loss": 0.6342, + "step": 25231 + }, + { + "epoch": 0.74, + "learning_rate": 1.6549598591616662e-06, + "loss": 0.6878, + "step": 25232 + }, + { + "epoch": 0.74, + "learning_rate": 1.6546062571193395e-06, + "loss": 0.91, + "step": 25233 + }, + { + "epoch": 0.74, + "learning_rate": 1.6542526853669277e-06, + "loss": 0.7489, + "step": 25234 + }, + { + "epoch": 0.74, + "learning_rate": 1.6538991439076347e-06, + "loss": 0.7038, + "step": 25235 + }, + { + "epoch": 0.74, + "learning_rate": 1.6535456327446591e-06, + "loss": 0.7617, + "step": 25236 + }, + { + "epoch": 0.74, + "learning_rate": 1.653192151881205e-06, + "loss": 0.7044, + "step": 25237 + }, + { + "epoch": 0.74, + "learning_rate": 1.652838701320469e-06, + "loss": 0.6496, + "step": 25238 + }, + { + "epoch": 0.74, + "learning_rate": 1.6524852810656528e-06, + "loss": 0.6446, + "step": 25239 + }, + { + "epoch": 0.74, + "learning_rate": 1.6521318911199585e-06, + "loss": 0.7156, + "step": 25240 + }, + { + "epoch": 0.74, + "learning_rate": 1.651778531486582e-06, + "loss": 0.7459, + "step": 25241 + }, + { + "epoch": 0.74, + "learning_rate": 1.6514252021687266e-06, + "loss": 0.8704, + "step": 25242 + }, + { + "epoch": 0.74, + "learning_rate": 1.6510719031695883e-06, + "loss": 0.6856, + "step": 25243 + }, + { + "epoch": 0.74, + "learning_rate": 1.6507186344923682e-06, + "loss": 0.7435, + "step": 25244 + }, + { + "epoch": 0.74, + "learning_rate": 1.650365396140262e-06, + "loss": 0.7232, + "step": 25245 + }, + { + "epoch": 0.74, + "learning_rate": 1.6500121881164722e-06, + "loss": 0.6969, + "step": 25246 + }, + { + "epoch": 0.74, + "learning_rate": 1.6496590104241922e-06, + "loss": 0.9565, + "step": 25247 + }, + { + "epoch": 0.74, + "learning_rate": 1.649305863066622e-06, + "loss": 0.6112, + "step": 25248 + }, + { + "epoch": 0.74, + "learning_rate": 1.648952746046959e-06, + "loss": 0.6248, + "step": 25249 + }, + { + "epoch": 0.74, + "learning_rate": 1.6485996593684023e-06, + "loss": 0.6823, + "step": 25250 + }, + { + "epoch": 0.74, + "learning_rate": 1.6482466030341449e-06, + "loss": 0.5282, + "step": 25251 + }, + { + "epoch": 0.74, + "learning_rate": 1.6478935770473875e-06, + "loss": 0.9416, + "step": 25252 + }, + { + "epoch": 0.74, + "learning_rate": 1.6475405814113233e-06, + "loss": 1.0093, + "step": 25253 + }, + { + "epoch": 0.74, + "learning_rate": 1.6471876161291506e-06, + "loss": 0.6269, + "step": 25254 + }, + { + "epoch": 0.74, + "learning_rate": 1.6468346812040625e-06, + "loss": 0.7671, + "step": 25255 + }, + { + "epoch": 0.74, + "learning_rate": 1.6464817766392583e-06, + "loss": 0.9182, + "step": 25256 + }, + { + "epoch": 0.74, + "learning_rate": 1.646128902437929e-06, + "loss": 0.8374, + "step": 25257 + }, + { + "epoch": 0.74, + "learning_rate": 1.6457760586032723e-06, + "loss": 0.6972, + "step": 25258 + }, + { + "epoch": 0.74, + "learning_rate": 1.6454232451384838e-06, + "loss": 0.7831, + "step": 25259 + }, + { + "epoch": 0.74, + "learning_rate": 1.645070462046755e-06, + "loss": 0.8978, + "step": 25260 + }, + { + "epoch": 0.74, + "learning_rate": 1.6447177093312833e-06, + "loss": 0.7624, + "step": 25261 + }, + { + "epoch": 0.74, + "learning_rate": 1.6443649869952594e-06, + "loss": 0.7235, + "step": 25262 + }, + { + "epoch": 0.74, + "learning_rate": 1.6440122950418801e-06, + "loss": 0.7198, + "step": 25263 + }, + { + "epoch": 0.74, + "learning_rate": 1.643659633474336e-06, + "loss": 0.8068, + "step": 25264 + }, + { + "epoch": 0.74, + "learning_rate": 1.6433070022958224e-06, + "loss": 0.5336, + "step": 25265 + }, + { + "epoch": 0.74, + "learning_rate": 1.6429544015095296e-06, + "loss": 0.7931, + "step": 25266 + }, + { + "epoch": 0.74, + "learning_rate": 1.6426018311186515e-06, + "loss": 0.8191, + "step": 25267 + }, + { + "epoch": 0.74, + "learning_rate": 1.64224929112638e-06, + "loss": 0.985, + "step": 25268 + }, + { + "epoch": 0.74, + "learning_rate": 1.6418967815359095e-06, + "loss": 0.7443, + "step": 25269 + }, + { + "epoch": 0.74, + "learning_rate": 1.641544302350428e-06, + "loss": 0.8584, + "step": 25270 + }, + { + "epoch": 0.74, + "learning_rate": 1.6411918535731303e-06, + "loss": 0.5566, + "step": 25271 + }, + { + "epoch": 0.74, + "learning_rate": 1.6408394352072038e-06, + "loss": 0.7248, + "step": 25272 + }, + { + "epoch": 0.74, + "learning_rate": 1.6404870472558433e-06, + "loss": 0.6944, + "step": 25273 + }, + { + "epoch": 0.74, + "learning_rate": 1.640134689722236e-06, + "loss": 0.7106, + "step": 25274 + }, + { + "epoch": 0.74, + "learning_rate": 1.6397823626095748e-06, + "loss": 0.7845, + "step": 25275 + }, + { + "epoch": 0.74, + "learning_rate": 1.6394300659210478e-06, + "loss": 0.8237, + "step": 25276 + }, + { + "epoch": 0.74, + "learning_rate": 1.639077799659845e-06, + "loss": 0.6379, + "step": 25277 + }, + { + "epoch": 0.74, + "learning_rate": 1.6387255638291582e-06, + "loss": 0.5188, + "step": 25278 + }, + { + "epoch": 0.74, + "learning_rate": 1.6383733584321738e-06, + "loss": 0.5319, + "step": 25279 + }, + { + "epoch": 0.74, + "learning_rate": 1.6380211834720833e-06, + "loss": 0.6453, + "step": 25280 + }, + { + "epoch": 0.74, + "learning_rate": 1.6376690389520722e-06, + "loss": 0.6409, + "step": 25281 + }, + { + "epoch": 0.74, + "learning_rate": 1.6373169248753323e-06, + "loss": 0.7735, + "step": 25282 + }, + { + "epoch": 0.74, + "learning_rate": 1.6369648412450483e-06, + "loss": 0.5833, + "step": 25283 + }, + { + "epoch": 0.74, + "learning_rate": 1.6366127880644117e-06, + "loss": 0.7698, + "step": 25284 + }, + { + "epoch": 0.74, + "learning_rate": 1.6362607653366069e-06, + "loss": 0.8159, + "step": 25285 + }, + { + "epoch": 0.74, + "learning_rate": 1.6359087730648233e-06, + "loss": 0.7243, + "step": 25286 + }, + { + "epoch": 0.74, + "learning_rate": 1.635556811252244e-06, + "loss": 0.8351, + "step": 25287 + }, + { + "epoch": 0.74, + "learning_rate": 1.6352048799020626e-06, + "loss": 0.6057, + "step": 25288 + }, + { + "epoch": 0.74, + "learning_rate": 1.63485297901746e-06, + "loss": 0.8366, + "step": 25289 + }, + { + "epoch": 0.74, + "learning_rate": 1.6345011086016255e-06, + "loss": 0.7102, + "step": 25290 + }, + { + "epoch": 0.74, + "learning_rate": 1.634149268657742e-06, + "loss": 0.8616, + "step": 25291 + }, + { + "epoch": 0.74, + "learning_rate": 1.6337974591889988e-06, + "loss": 0.9088, + "step": 25292 + }, + { + "epoch": 0.74, + "learning_rate": 1.6334456801985771e-06, + "loss": 0.8148, + "step": 25293 + }, + { + "epoch": 0.74, + "learning_rate": 1.633093931689666e-06, + "loss": 0.5987, + "step": 25294 + }, + { + "epoch": 0.74, + "learning_rate": 1.6327422136654468e-06, + "loss": 0.6556, + "step": 25295 + }, + { + "epoch": 0.74, + "learning_rate": 1.632390526129108e-06, + "loss": 0.8594, + "step": 25296 + }, + { + "epoch": 0.74, + "learning_rate": 1.632038869083829e-06, + "loss": 0.5365, + "step": 25297 + }, + { + "epoch": 0.74, + "learning_rate": 1.6316872425327967e-06, + "loss": 0.673, + "step": 25298 + }, + { + "epoch": 0.74, + "learning_rate": 1.6313356464791963e-06, + "loss": 0.6683, + "step": 25299 + }, + { + "epoch": 0.74, + "learning_rate": 1.6309840809262072e-06, + "loss": 0.6541, + "step": 25300 + }, + { + "epoch": 0.74, + "learning_rate": 1.6306325458770168e-06, + "loss": 0.6716, + "step": 25301 + }, + { + "epoch": 0.74, + "learning_rate": 1.6302810413348036e-06, + "loss": 0.8748, + "step": 25302 + }, + { + "epoch": 0.74, + "learning_rate": 1.6299295673027548e-06, + "loss": 0.6208, + "step": 25303 + }, + { + "epoch": 0.74, + "learning_rate": 1.6295781237840486e-06, + "loss": 0.9775, + "step": 25304 + }, + { + "epoch": 0.74, + "learning_rate": 1.6292267107818704e-06, + "loss": 0.6963, + "step": 25305 + }, + { + "epoch": 0.74, + "learning_rate": 1.6288753282993985e-06, + "loss": 0.7416, + "step": 25306 + }, + { + "epoch": 0.74, + "learning_rate": 1.6285239763398164e-06, + "loss": 0.702, + "step": 25307 + }, + { + "epoch": 0.74, + "learning_rate": 1.6281726549063054e-06, + "loss": 0.6755, + "step": 25308 + }, + { + "epoch": 0.74, + "learning_rate": 1.627821364002048e-06, + "loss": 0.7519, + "step": 25309 + }, + { + "epoch": 0.74, + "learning_rate": 1.6274701036302215e-06, + "loss": 0.6997, + "step": 25310 + }, + { + "epoch": 0.74, + "learning_rate": 1.6271188737940091e-06, + "loss": 0.6877, + "step": 25311 + }, + { + "epoch": 0.74, + "learning_rate": 1.6267676744965888e-06, + "loss": 0.7776, + "step": 25312 + }, + { + "epoch": 0.74, + "learning_rate": 1.6264165057411424e-06, + "loss": 0.9016, + "step": 25313 + }, + { + "epoch": 0.74, + "learning_rate": 1.6260653675308468e-06, + "loss": 0.7028, + "step": 25314 + }, + { + "epoch": 0.74, + "learning_rate": 1.6257142598688846e-06, + "loss": 0.782, + "step": 25315 + }, + { + "epoch": 0.74, + "learning_rate": 1.6253631827584316e-06, + "loss": 0.7356, + "step": 25316 + }, + { + "epoch": 0.74, + "learning_rate": 1.6250121362026684e-06, + "loss": 0.6868, + "step": 25317 + }, + { + "epoch": 0.74, + "learning_rate": 1.6246611202047741e-06, + "loss": 0.5757, + "step": 25318 + }, + { + "epoch": 0.74, + "learning_rate": 1.624310134767924e-06, + "loss": 0.7265, + "step": 25319 + }, + { + "epoch": 0.74, + "learning_rate": 1.6239591798953004e-06, + "loss": 0.8016, + "step": 25320 + }, + { + "epoch": 0.74, + "learning_rate": 1.6236082555900762e-06, + "loss": 0.8525, + "step": 25321 + }, + { + "epoch": 0.74, + "learning_rate": 1.6232573618554321e-06, + "loss": 0.4739, + "step": 25322 + }, + { + "epoch": 0.74, + "learning_rate": 1.6229064986945431e-06, + "loss": 0.49, + "step": 25323 + }, + { + "epoch": 0.74, + "learning_rate": 1.6225556661105878e-06, + "loss": 0.6774, + "step": 25324 + }, + { + "epoch": 0.74, + "learning_rate": 1.6222048641067405e-06, + "loss": 0.4599, + "step": 25325 + }, + { + "epoch": 0.74, + "learning_rate": 1.6218540926861793e-06, + "loss": 0.8271, + "step": 25326 + }, + { + "epoch": 0.74, + "learning_rate": 1.621503351852079e-06, + "loss": 0.8831, + "step": 25327 + }, + { + "epoch": 0.74, + "learning_rate": 1.6211526416076173e-06, + "loss": 0.5654, + "step": 25328 + }, + { + "epoch": 0.74, + "learning_rate": 1.6208019619559667e-06, + "loss": 0.8649, + "step": 25329 + }, + { + "epoch": 0.74, + "learning_rate": 1.6204513129003058e-06, + "loss": 0.6708, + "step": 25330 + }, + { + "epoch": 0.74, + "learning_rate": 1.6201006944438058e-06, + "loss": 0.6867, + "step": 25331 + }, + { + "epoch": 0.74, + "learning_rate": 1.6197501065896442e-06, + "loss": 0.6905, + "step": 25332 + }, + { + "epoch": 0.74, + "learning_rate": 1.6193995493409924e-06, + "loss": 0.8189, + "step": 25333 + }, + { + "epoch": 0.74, + "learning_rate": 1.619049022701028e-06, + "loss": 0.7151, + "step": 25334 + }, + { + "epoch": 0.74, + "learning_rate": 1.618698526672921e-06, + "loss": 0.6455, + "step": 25335 + }, + { + "epoch": 0.74, + "learning_rate": 1.6183480612598462e-06, + "loss": 0.7757, + "step": 25336 + }, + { + "epoch": 0.74, + "learning_rate": 1.6179976264649795e-06, + "loss": 0.7704, + "step": 25337 + }, + { + "epoch": 0.74, + "learning_rate": 1.6176472222914896e-06, + "loss": 0.9393, + "step": 25338 + }, + { + "epoch": 0.74, + "learning_rate": 1.6172968487425529e-06, + "loss": 0.5909, + "step": 25339 + }, + { + "epoch": 0.74, + "learning_rate": 1.6169465058213386e-06, + "loss": 0.6356, + "step": 25340 + }, + { + "epoch": 0.74, + "learning_rate": 1.6165961935310214e-06, + "loss": 0.7885, + "step": 25341 + }, + { + "epoch": 0.74, + "learning_rate": 1.6162459118747704e-06, + "loss": 0.6095, + "step": 25342 + }, + { + "epoch": 0.74, + "learning_rate": 1.6158956608557597e-06, + "loss": 0.5508, + "step": 25343 + }, + { + "epoch": 0.74, + "learning_rate": 1.6155454404771581e-06, + "loss": 0.7736, + "step": 25344 + }, + { + "epoch": 0.74, + "learning_rate": 1.6151952507421397e-06, + "loss": 0.7965, + "step": 25345 + }, + { + "epoch": 0.74, + "learning_rate": 1.61484509165387e-06, + "loss": 0.5316, + "step": 25346 + }, + { + "epoch": 0.74, + "learning_rate": 1.614494963215526e-06, + "loss": 0.7692, + "step": 25347 + }, + { + "epoch": 0.74, + "learning_rate": 1.6141448654302728e-06, + "loss": 0.6297, + "step": 25348 + }, + { + "epoch": 0.74, + "learning_rate": 1.6137947983012842e-06, + "loss": 0.6412, + "step": 25349 + }, + { + "epoch": 0.74, + "learning_rate": 1.6134447618317255e-06, + "loss": 0.6508, + "step": 25350 + }, + { + "epoch": 0.74, + "learning_rate": 1.61309475602477e-06, + "loss": 0.7044, + "step": 25351 + }, + { + "epoch": 0.74, + "learning_rate": 1.6127447808835833e-06, + "loss": 0.8299, + "step": 25352 + }, + { + "epoch": 0.74, + "learning_rate": 1.612394836411338e-06, + "loss": 0.8567, + "step": 25353 + }, + { + "epoch": 0.74, + "learning_rate": 1.6120449226111979e-06, + "loss": 0.6561, + "step": 25354 + }, + { + "epoch": 0.74, + "learning_rate": 1.611695039486335e-06, + "loss": 0.6884, + "step": 25355 + }, + { + "epoch": 0.74, + "learning_rate": 1.611345187039915e-06, + "loss": 0.681, + "step": 25356 + }, + { + "epoch": 0.74, + "learning_rate": 1.6109953652751059e-06, + "loss": 0.6112, + "step": 25357 + }, + { + "epoch": 0.74, + "learning_rate": 1.6106455741950776e-06, + "loss": 0.8745, + "step": 25358 + }, + { + "epoch": 0.75, + "learning_rate": 1.6102958138029934e-06, + "loss": 0.7693, + "step": 25359 + }, + { + "epoch": 0.75, + "learning_rate": 1.6099460841020231e-06, + "loss": 0.7041, + "step": 25360 + }, + { + "epoch": 0.75, + "learning_rate": 1.6095963850953305e-06, + "loss": 0.7035, + "step": 25361 + }, + { + "epoch": 0.75, + "learning_rate": 1.6092467167860854e-06, + "loss": 0.8069, + "step": 25362 + }, + { + "epoch": 0.75, + "learning_rate": 1.6088970791774494e-06, + "loss": 0.9444, + "step": 25363 + }, + { + "epoch": 0.75, + "learning_rate": 1.6085474722725925e-06, + "loss": 0.6045, + "step": 25364 + }, + { + "epoch": 0.75, + "learning_rate": 1.6081978960746764e-06, + "loss": 0.6502, + "step": 25365 + }, + { + "epoch": 0.75, + "learning_rate": 1.6078483505868676e-06, + "loss": 0.6799, + "step": 25366 + }, + { + "epoch": 0.75, + "learning_rate": 1.6074988358123317e-06, + "loss": 0.663, + "step": 25367 + }, + { + "epoch": 0.75, + "learning_rate": 1.6071493517542342e-06, + "loss": 0.7194, + "step": 25368 + }, + { + "epoch": 0.75, + "learning_rate": 1.6067998984157363e-06, + "loss": 0.813, + "step": 25369 + }, + { + "epoch": 0.75, + "learning_rate": 1.6064504758000061e-06, + "loss": 0.6377, + "step": 25370 + }, + { + "epoch": 0.75, + "learning_rate": 1.6061010839102032e-06, + "loss": 0.5119, + "step": 25371 + }, + { + "epoch": 0.75, + "learning_rate": 1.605751722749494e-06, + "loss": 0.5954, + "step": 25372 + }, + { + "epoch": 0.75, + "learning_rate": 1.6054023923210394e-06, + "loss": 0.8666, + "step": 25373 + }, + { + "epoch": 0.75, + "learning_rate": 1.605053092628005e-06, + "loss": 0.7559, + "step": 25374 + }, + { + "epoch": 0.75, + "learning_rate": 1.6047038236735507e-06, + "loss": 0.7912, + "step": 25375 + }, + { + "epoch": 0.75, + "learning_rate": 1.60435458546084e-06, + "loss": 0.9576, + "step": 25376 + }, + { + "epoch": 0.75, + "learning_rate": 1.6040053779930364e-06, + "loss": 0.7302, + "step": 25377 + }, + { + "epoch": 0.75, + "learning_rate": 1.6036562012732992e-06, + "loss": 0.5992, + "step": 25378 + }, + { + "epoch": 0.75, + "learning_rate": 1.6033070553047926e-06, + "loss": 0.5918, + "step": 25379 + }, + { + "epoch": 0.75, + "learning_rate": 1.6029579400906747e-06, + "loss": 0.7275, + "step": 25380 + }, + { + "epoch": 0.75, + "learning_rate": 1.6026088556341096e-06, + "loss": 0.8266, + "step": 25381 + }, + { + "epoch": 0.75, + "learning_rate": 1.6022598019382547e-06, + "loss": 0.6268, + "step": 25382 + }, + { + "epoch": 0.75, + "learning_rate": 1.6019107790062743e-06, + "loss": 0.6195, + "step": 25383 + }, + { + "epoch": 0.75, + "learning_rate": 1.6015617868413247e-06, + "loss": 0.7105, + "step": 25384 + }, + { + "epoch": 0.75, + "learning_rate": 1.6012128254465692e-06, + "loss": 0.691, + "step": 25385 + }, + { + "epoch": 0.75, + "learning_rate": 1.600863894825162e-06, + "loss": 0.7636, + "step": 25386 + }, + { + "epoch": 0.75, + "learning_rate": 1.6005149949802695e-06, + "loss": 0.9124, + "step": 25387 + }, + { + "epoch": 0.75, + "learning_rate": 1.6001661259150459e-06, + "loss": 0.7123, + "step": 25388 + }, + { + "epoch": 0.75, + "learning_rate": 1.5998172876326528e-06, + "loss": 0.5518, + "step": 25389 + }, + { + "epoch": 0.75, + "learning_rate": 1.599468480136246e-06, + "loss": 0.5552, + "step": 25390 + }, + { + "epoch": 0.75, + "learning_rate": 1.5991197034289856e-06, + "loss": 0.5763, + "step": 25391 + }, + { + "epoch": 0.75, + "learning_rate": 1.5987709575140275e-06, + "loss": 0.5612, + "step": 25392 + }, + { + "epoch": 0.75, + "learning_rate": 1.5984222423945323e-06, + "loss": 0.7424, + "step": 25393 + }, + { + "epoch": 0.75, + "learning_rate": 1.598073558073654e-06, + "loss": 0.7552, + "step": 25394 + }, + { + "epoch": 0.75, + "learning_rate": 1.5977249045545513e-06, + "loss": 0.7081, + "step": 25395 + }, + { + "epoch": 0.75, + "learning_rate": 1.597376281840382e-06, + "loss": 0.623, + "step": 25396 + }, + { + "epoch": 0.75, + "learning_rate": 1.5970276899343007e-06, + "loss": 0.4986, + "step": 25397 + }, + { + "epoch": 0.75, + "learning_rate": 1.5966791288394655e-06, + "loss": 0.8354, + "step": 25398 + }, + { + "epoch": 0.75, + "learning_rate": 1.5963305985590304e-06, + "loss": 0.757, + "step": 25399 + }, + { + "epoch": 0.75, + "learning_rate": 1.5959820990961533e-06, + "loss": 0.6285, + "step": 25400 + }, + { + "epoch": 0.75, + "learning_rate": 1.5956336304539866e-06, + "loss": 0.9837, + "step": 25401 + }, + { + "epoch": 0.75, + "learning_rate": 1.5952851926356888e-06, + "loss": 0.7233, + "step": 25402 + }, + { + "epoch": 0.75, + "learning_rate": 1.594936785644411e-06, + "loss": 0.517, + "step": 25403 + }, + { + "epoch": 0.75, + "learning_rate": 1.5945884094833119e-06, + "loss": 0.6571, + "step": 25404 + }, + { + "epoch": 0.75, + "learning_rate": 1.59424006415554e-06, + "loss": 0.7083, + "step": 25405 + }, + { + "epoch": 0.75, + "learning_rate": 1.593891749664257e-06, + "loss": 0.7233, + "step": 25406 + }, + { + "epoch": 0.75, + "learning_rate": 1.5935434660126104e-06, + "loss": 0.7873, + "step": 25407 + }, + { + "epoch": 0.75, + "learning_rate": 1.5931952132037571e-06, + "loss": 0.8624, + "step": 25408 + }, + { + "epoch": 0.75, + "learning_rate": 1.5928469912408478e-06, + "loss": 0.5485, + "step": 25409 + }, + { + "epoch": 0.75, + "learning_rate": 1.592498800127038e-06, + "loss": 0.7733, + "step": 25410 + }, + { + "epoch": 0.75, + "learning_rate": 1.5921506398654773e-06, + "loss": 0.7518, + "step": 25411 + }, + { + "epoch": 0.75, + "learning_rate": 1.591802510459321e-06, + "loss": 0.638, + "step": 25412 + }, + { + "epoch": 0.75, + "learning_rate": 1.5914544119117181e-06, + "loss": 0.7434, + "step": 25413 + }, + { + "epoch": 0.75, + "learning_rate": 1.5911063442258239e-06, + "loss": 0.7953, + "step": 25414 + }, + { + "epoch": 0.75, + "learning_rate": 1.5907583074047862e-06, + "loss": 0.7038, + "step": 25415 + }, + { + "epoch": 0.75, + "learning_rate": 1.5904103014517574e-06, + "loss": 0.6666, + "step": 25416 + }, + { + "epoch": 0.75, + "learning_rate": 1.5900623263698912e-06, + "loss": 0.694, + "step": 25417 + }, + { + "epoch": 0.75, + "learning_rate": 1.589714382162334e-06, + "loss": 0.5646, + "step": 25418 + }, + { + "epoch": 0.75, + "learning_rate": 1.5893664688322403e-06, + "loss": 0.6394, + "step": 25419 + }, + { + "epoch": 0.75, + "learning_rate": 1.5890185863827556e-06, + "loss": 0.8193, + "step": 25420 + }, + { + "epoch": 0.75, + "learning_rate": 1.5886707348170343e-06, + "loss": 0.7572, + "step": 25421 + }, + { + "epoch": 0.75, + "learning_rate": 1.5883229141382218e-06, + "loss": 0.654, + "step": 25422 + }, + { + "epoch": 0.75, + "learning_rate": 1.5879751243494712e-06, + "loss": 0.8774, + "step": 25423 + }, + { + "epoch": 0.75, + "learning_rate": 1.5876273654539282e-06, + "loss": 0.9138, + "step": 25424 + }, + { + "epoch": 0.75, + "learning_rate": 1.5872796374547423e-06, + "loss": 0.6439, + "step": 25425 + }, + { + "epoch": 0.75, + "learning_rate": 1.5869319403550627e-06, + "loss": 0.6526, + "step": 25426 + }, + { + "epoch": 0.75, + "learning_rate": 1.5865842741580389e-06, + "loss": 0.6137, + "step": 25427 + }, + { + "epoch": 0.75, + "learning_rate": 1.5862366388668155e-06, + "loss": 0.9065, + "step": 25428 + }, + { + "epoch": 0.75, + "learning_rate": 1.5858890344845435e-06, + "loss": 0.6763, + "step": 25429 + }, + { + "epoch": 0.75, + "learning_rate": 1.5855414610143666e-06, + "loss": 0.6322, + "step": 25430 + }, + { + "epoch": 0.75, + "learning_rate": 1.585193918459435e-06, + "loss": 0.5932, + "step": 25431 + }, + { + "epoch": 0.75, + "learning_rate": 1.5848464068228926e-06, + "loss": 0.9411, + "step": 25432 + }, + { + "epoch": 0.75, + "learning_rate": 1.5844989261078887e-06, + "loss": 0.7943, + "step": 25433 + }, + { + "epoch": 0.75, + "learning_rate": 1.584151476317567e-06, + "loss": 0.6273, + "step": 25434 + }, + { + "epoch": 0.75, + "learning_rate": 1.5838040574550733e-06, + "loss": 0.7252, + "step": 25435 + }, + { + "epoch": 0.75, + "learning_rate": 1.583456669523557e-06, + "loss": 0.9826, + "step": 25436 + }, + { + "epoch": 0.75, + "learning_rate": 1.5831093125261587e-06, + "loss": 0.6751, + "step": 25437 + }, + { + "epoch": 0.75, + "learning_rate": 1.582761986466027e-06, + "loss": 0.8209, + "step": 25438 + }, + { + "epoch": 0.75, + "learning_rate": 1.5824146913463034e-06, + "loss": 0.8513, + "step": 25439 + }, + { + "epoch": 0.75, + "learning_rate": 1.5820674271701358e-06, + "loss": 0.8956, + "step": 25440 + }, + { + "epoch": 0.75, + "learning_rate": 1.5817201939406656e-06, + "loss": 0.753, + "step": 25441 + }, + { + "epoch": 0.75, + "learning_rate": 1.5813729916610393e-06, + "loss": 0.7355, + "step": 25442 + }, + { + "epoch": 0.75, + "learning_rate": 1.581025820334397e-06, + "loss": 0.823, + "step": 25443 + }, + { + "epoch": 0.75, + "learning_rate": 1.5806786799638862e-06, + "loss": 0.8342, + "step": 25444 + }, + { + "epoch": 0.75, + "learning_rate": 1.5803315705526444e-06, + "loss": 0.6383, + "step": 25445 + }, + { + "epoch": 0.75, + "learning_rate": 1.5799844921038214e-06, + "loss": 0.6475, + "step": 25446 + }, + { + "epoch": 0.75, + "learning_rate": 1.5796374446205547e-06, + "loss": 0.8734, + "step": 25447 + }, + { + "epoch": 0.75, + "learning_rate": 1.5792904281059902e-06, + "loss": 0.4965, + "step": 25448 + }, + { + "epoch": 0.75, + "learning_rate": 1.5789434425632655e-06, + "loss": 0.8447, + "step": 25449 + }, + { + "epoch": 0.75, + "learning_rate": 1.5785964879955262e-06, + "loss": 0.5757, + "step": 25450 + }, + { + "epoch": 0.75, + "learning_rate": 1.5782495644059105e-06, + "loss": 0.4796, + "step": 25451 + }, + { + "epoch": 0.75, + "learning_rate": 1.5779026717975626e-06, + "loss": 0.6004, + "step": 25452 + }, + { + "epoch": 0.75, + "learning_rate": 1.5775558101736205e-06, + "loss": 0.6603, + "step": 25453 + }, + { + "epoch": 0.75, + "learning_rate": 1.5772089795372274e-06, + "loss": 0.921, + "step": 25454 + }, + { + "epoch": 0.75, + "learning_rate": 1.5768621798915196e-06, + "loss": 0.602, + "step": 25455 + }, + { + "epoch": 0.75, + "learning_rate": 1.5765154112396425e-06, + "loss": 0.8105, + "step": 25456 + }, + { + "epoch": 0.75, + "learning_rate": 1.5761686735847331e-06, + "loss": 0.649, + "step": 25457 + }, + { + "epoch": 0.75, + "learning_rate": 1.5758219669299296e-06, + "loss": 0.5046, + "step": 25458 + }, + { + "epoch": 0.75, + "learning_rate": 1.5754752912783738e-06, + "loss": 0.6586, + "step": 25459 + }, + { + "epoch": 0.75, + "learning_rate": 1.575128646633201e-06, + "loss": 0.7521, + "step": 25460 + }, + { + "epoch": 0.75, + "learning_rate": 1.5747820329975543e-06, + "loss": 0.6354, + "step": 25461 + }, + { + "epoch": 0.75, + "learning_rate": 1.5744354503745679e-06, + "loss": 0.7477, + "step": 25462 + }, + { + "epoch": 0.75, + "learning_rate": 1.5740888987673831e-06, + "loss": 0.7071, + "step": 25463 + }, + { + "epoch": 0.75, + "learning_rate": 1.5737423781791327e-06, + "loss": 0.6497, + "step": 25464 + }, + { + "epoch": 0.75, + "learning_rate": 1.5733958886129609e-06, + "loss": 0.7406, + "step": 25465 + }, + { + "epoch": 0.75, + "learning_rate": 1.573049430072e-06, + "loss": 0.7565, + "step": 25466 + }, + { + "epoch": 0.75, + "learning_rate": 1.5727030025593904e-06, + "loss": 0.7784, + "step": 25467 + }, + { + "epoch": 0.75, + "learning_rate": 1.5723566060782653e-06, + "loss": 0.803, + "step": 25468 + }, + { + "epoch": 0.75, + "learning_rate": 1.5720102406317638e-06, + "loss": 0.7934, + "step": 25469 + }, + { + "epoch": 0.75, + "learning_rate": 1.5716639062230194e-06, + "loss": 0.8333, + "step": 25470 + }, + { + "epoch": 0.75, + "learning_rate": 1.5713176028551708e-06, + "loss": 0.3413, + "step": 25471 + }, + { + "epoch": 0.75, + "learning_rate": 1.5709713305313506e-06, + "loss": 0.7523, + "step": 25472 + }, + { + "epoch": 0.75, + "learning_rate": 1.5706250892546966e-06, + "loss": 0.5122, + "step": 25473 + }, + { + "epoch": 0.75, + "learning_rate": 1.5702788790283396e-06, + "loss": 0.4808, + "step": 25474 + }, + { + "epoch": 0.75, + "learning_rate": 1.5699326998554204e-06, + "loss": 0.6892, + "step": 25475 + }, + { + "epoch": 0.75, + "learning_rate": 1.5695865517390684e-06, + "loss": 0.7583, + "step": 25476 + }, + { + "epoch": 0.75, + "learning_rate": 1.5692404346824213e-06, + "loss": 0.5695, + "step": 25477 + }, + { + "epoch": 0.75, + "learning_rate": 1.5688943486886094e-06, + "loss": 0.5387, + "step": 25478 + }, + { + "epoch": 0.75, + "learning_rate": 1.5685482937607693e-06, + "loss": 0.5257, + "step": 25479 + }, + { + "epoch": 0.75, + "learning_rate": 1.5682022699020312e-06, + "loss": 0.4523, + "step": 25480 + }, + { + "epoch": 0.75, + "learning_rate": 1.5678562771155314e-06, + "loss": 0.6897, + "step": 25481 + }, + { + "epoch": 0.75, + "learning_rate": 1.5675103154043996e-06, + "loss": 0.6403, + "step": 25482 + }, + { + "epoch": 0.75, + "learning_rate": 1.5671643847717715e-06, + "loss": 0.8875, + "step": 25483 + }, + { + "epoch": 0.75, + "learning_rate": 1.5668184852207751e-06, + "loss": 0.9803, + "step": 25484 + }, + { + "epoch": 0.75, + "learning_rate": 1.5664726167545447e-06, + "loss": 0.4522, + "step": 25485 + }, + { + "epoch": 0.75, + "learning_rate": 1.566126779376213e-06, + "loss": 0.6942, + "step": 25486 + }, + { + "epoch": 0.75, + "learning_rate": 1.5657809730889084e-06, + "loss": 0.7359, + "step": 25487 + }, + { + "epoch": 0.75, + "learning_rate": 1.5654351978957655e-06, + "loss": 0.8819, + "step": 25488 + }, + { + "epoch": 0.75, + "learning_rate": 1.5650894537999106e-06, + "loss": 0.7782, + "step": 25489 + }, + { + "epoch": 0.75, + "learning_rate": 1.5647437408044785e-06, + "loss": 0.7246, + "step": 25490 + }, + { + "epoch": 0.75, + "learning_rate": 1.5643980589125952e-06, + "loss": 0.6716, + "step": 25491 + }, + { + "epoch": 0.75, + "learning_rate": 1.564052408127395e-06, + "loss": 0.6261, + "step": 25492 + }, + { + "epoch": 0.75, + "learning_rate": 1.563706788452003e-06, + "loss": 0.6148, + "step": 25493 + }, + { + "epoch": 0.75, + "learning_rate": 1.563361199889551e-06, + "loss": 0.6455, + "step": 25494 + }, + { + "epoch": 0.75, + "learning_rate": 1.5630156424431675e-06, + "loss": 0.9079, + "step": 25495 + }, + { + "epoch": 0.75, + "learning_rate": 1.5626701161159835e-06, + "loss": 0.807, + "step": 25496 + }, + { + "epoch": 0.75, + "learning_rate": 1.5623246209111237e-06, + "loss": 0.8576, + "step": 25497 + }, + { + "epoch": 0.75, + "learning_rate": 1.5619791568317195e-06, + "loss": 0.4857, + "step": 25498 + }, + { + "epoch": 0.75, + "learning_rate": 1.5616337238808959e-06, + "loss": 0.5389, + "step": 25499 + }, + { + "epoch": 0.75, + "learning_rate": 1.5612883220617836e-06, + "loss": 0.5895, + "step": 25500 + }, + { + "epoch": 0.75, + "learning_rate": 1.5609429513775071e-06, + "loss": 0.7278, + "step": 25501 + }, + { + "epoch": 0.75, + "learning_rate": 1.5605976118311956e-06, + "loss": 0.782, + "step": 25502 + }, + { + "epoch": 0.75, + "learning_rate": 1.5602523034259737e-06, + "loss": 0.5092, + "step": 25503 + }, + { + "epoch": 0.75, + "learning_rate": 1.559907026164969e-06, + "loss": 0.5946, + "step": 25504 + }, + { + "epoch": 0.75, + "learning_rate": 1.5595617800513096e-06, + "loss": 0.6626, + "step": 25505 + }, + { + "epoch": 0.75, + "learning_rate": 1.5592165650881186e-06, + "loss": 0.8293, + "step": 25506 + }, + { + "epoch": 0.75, + "learning_rate": 1.558871381278524e-06, + "loss": 0.7235, + "step": 25507 + }, + { + "epoch": 0.75, + "learning_rate": 1.558526228625648e-06, + "loss": 0.7296, + "step": 25508 + }, + { + "epoch": 0.75, + "learning_rate": 1.5581811071326197e-06, + "loss": 0.6632, + "step": 25509 + }, + { + "epoch": 0.75, + "learning_rate": 1.5578360168025596e-06, + "loss": 0.744, + "step": 25510 + }, + { + "epoch": 0.75, + "learning_rate": 1.5574909576385966e-06, + "loss": 0.7883, + "step": 25511 + }, + { + "epoch": 0.75, + "learning_rate": 1.5571459296438513e-06, + "loss": 0.6562, + "step": 25512 + }, + { + "epoch": 0.75, + "learning_rate": 1.55680093282145e-06, + "loss": 0.8105, + "step": 25513 + }, + { + "epoch": 0.75, + "learning_rate": 1.5564559671745128e-06, + "loss": 0.7639, + "step": 25514 + }, + { + "epoch": 0.75, + "learning_rate": 1.556111032706169e-06, + "loss": 0.8973, + "step": 25515 + }, + { + "epoch": 0.75, + "learning_rate": 1.555766129419537e-06, + "loss": 0.5482, + "step": 25516 + }, + { + "epoch": 0.75, + "learning_rate": 1.555421257317743e-06, + "loss": 0.7727, + "step": 25517 + }, + { + "epoch": 0.75, + "learning_rate": 1.5550764164039057e-06, + "loss": 0.5295, + "step": 25518 + }, + { + "epoch": 0.75, + "learning_rate": 1.5547316066811507e-06, + "loss": 0.7353, + "step": 25519 + }, + { + "epoch": 0.75, + "learning_rate": 1.5543868281525976e-06, + "loss": 0.8048, + "step": 25520 + }, + { + "epoch": 0.75, + "learning_rate": 1.5540420808213709e-06, + "loss": 1.0364, + "step": 25521 + }, + { + "epoch": 0.75, + "learning_rate": 1.5536973646905879e-06, + "loss": 0.6741, + "step": 25522 + }, + { + "epoch": 0.75, + "learning_rate": 1.5533526797633723e-06, + "loss": 0.7761, + "step": 25523 + }, + { + "epoch": 0.75, + "learning_rate": 1.553008026042847e-06, + "loss": 0.7871, + "step": 25524 + }, + { + "epoch": 0.75, + "learning_rate": 1.552663403532128e-06, + "loss": 0.7901, + "step": 25525 + }, + { + "epoch": 0.75, + "learning_rate": 1.5523188122343397e-06, + "loss": 0.8602, + "step": 25526 + }, + { + "epoch": 0.75, + "learning_rate": 1.5519742521525988e-06, + "loss": 0.7385, + "step": 25527 + }, + { + "epoch": 0.75, + "learning_rate": 1.5516297232900286e-06, + "loss": 0.6794, + "step": 25528 + }, + { + "epoch": 0.75, + "learning_rate": 1.551285225649744e-06, + "loss": 0.5865, + "step": 25529 + }, + { + "epoch": 0.75, + "learning_rate": 1.5509407592348685e-06, + "loss": 0.6166, + "step": 25530 + }, + { + "epoch": 0.75, + "learning_rate": 1.5505963240485179e-06, + "loss": 0.8504, + "step": 25531 + }, + { + "epoch": 0.75, + "learning_rate": 1.5502519200938132e-06, + "loss": 0.7084, + "step": 25532 + }, + { + "epoch": 0.75, + "learning_rate": 1.5499075473738684e-06, + "loss": 0.8029, + "step": 25533 + }, + { + "epoch": 0.75, + "learning_rate": 1.5495632058918075e-06, + "loss": 0.7351, + "step": 25534 + }, + { + "epoch": 0.75, + "learning_rate": 1.5492188956507442e-06, + "loss": 0.7979, + "step": 25535 + }, + { + "epoch": 0.75, + "learning_rate": 1.5488746166537988e-06, + "loss": 0.7779, + "step": 25536 + }, + { + "epoch": 0.75, + "learning_rate": 1.5485303689040848e-06, + "loss": 0.6216, + "step": 25537 + }, + { + "epoch": 0.75, + "learning_rate": 1.5481861524047225e-06, + "loss": 0.812, + "step": 25538 + }, + { + "epoch": 0.75, + "learning_rate": 1.5478419671588262e-06, + "loss": 0.6823, + "step": 25539 + }, + { + "epoch": 0.75, + "learning_rate": 1.5474978131695146e-06, + "loss": 0.76, + "step": 25540 + }, + { + "epoch": 0.75, + "learning_rate": 1.5471536904399003e-06, + "loss": 0.7559, + "step": 25541 + }, + { + "epoch": 0.75, + "learning_rate": 1.5468095989731024e-06, + "loss": 0.6122, + "step": 25542 + }, + { + "epoch": 0.75, + "learning_rate": 1.5464655387722339e-06, + "loss": 0.974, + "step": 25543 + }, + { + "epoch": 0.75, + "learning_rate": 1.5461215098404114e-06, + "loss": 0.6808, + "step": 25544 + }, + { + "epoch": 0.75, + "learning_rate": 1.5457775121807505e-06, + "loss": 0.6524, + "step": 25545 + }, + { + "epoch": 0.75, + "learning_rate": 1.5454335457963637e-06, + "loss": 0.4785, + "step": 25546 + }, + { + "epoch": 0.75, + "learning_rate": 1.5450896106903679e-06, + "loss": 1.0174, + "step": 25547 + }, + { + "epoch": 0.75, + "learning_rate": 1.544745706865874e-06, + "loss": 0.6985, + "step": 25548 + }, + { + "epoch": 0.75, + "learning_rate": 1.5444018343259991e-06, + "loss": 0.9011, + "step": 25549 + }, + { + "epoch": 0.75, + "learning_rate": 1.5440579930738536e-06, + "loss": 0.6954, + "step": 25550 + }, + { + "epoch": 0.75, + "learning_rate": 1.543714183112554e-06, + "loss": 0.4449, + "step": 25551 + }, + { + "epoch": 0.75, + "learning_rate": 1.5433704044452097e-06, + "loss": 0.6742, + "step": 25552 + }, + { + "epoch": 0.75, + "learning_rate": 1.5430266570749352e-06, + "loss": 0.9107, + "step": 25553 + }, + { + "epoch": 0.75, + "learning_rate": 1.5426829410048433e-06, + "loss": 0.8312, + "step": 25554 + }, + { + "epoch": 0.75, + "learning_rate": 1.5423392562380463e-06, + "loss": 0.8627, + "step": 25555 + }, + { + "epoch": 0.75, + "learning_rate": 1.541995602777654e-06, + "loss": 0.8475, + "step": 25556 + }, + { + "epoch": 0.75, + "learning_rate": 1.541651980626781e-06, + "loss": 0.6555, + "step": 25557 + }, + { + "epoch": 0.75, + "learning_rate": 1.541308389788535e-06, + "loss": 0.8097, + "step": 25558 + }, + { + "epoch": 0.75, + "learning_rate": 1.5409648302660302e-06, + "loss": 0.4994, + "step": 25559 + }, + { + "epoch": 0.75, + "learning_rate": 1.540621302062374e-06, + "loss": 0.7354, + "step": 25560 + }, + { + "epoch": 0.75, + "learning_rate": 1.54027780518068e-06, + "loss": 0.6096, + "step": 25561 + }, + { + "epoch": 0.75, + "learning_rate": 1.5399343396240551e-06, + "loss": 0.8136, + "step": 25562 + }, + { + "epoch": 0.75, + "learning_rate": 1.5395909053956116e-06, + "loss": 0.6816, + "step": 25563 + }, + { + "epoch": 0.75, + "learning_rate": 1.5392475024984587e-06, + "loss": 0.6884, + "step": 25564 + }, + { + "epoch": 0.75, + "learning_rate": 1.5389041309357045e-06, + "loss": 0.6816, + "step": 25565 + }, + { + "epoch": 0.75, + "learning_rate": 1.53856079071046e-06, + "loss": 0.7456, + "step": 25566 + }, + { + "epoch": 0.75, + "learning_rate": 1.5382174818258306e-06, + "loss": 0.6218, + "step": 25567 + }, + { + "epoch": 0.75, + "learning_rate": 1.5378742042849283e-06, + "loss": 0.6266, + "step": 25568 + }, + { + "epoch": 0.75, + "learning_rate": 1.5375309580908576e-06, + "loss": 0.6043, + "step": 25569 + }, + { + "epoch": 0.75, + "learning_rate": 1.5371877432467303e-06, + "loss": 0.6826, + "step": 25570 + }, + { + "epoch": 0.75, + "learning_rate": 1.5368445597556502e-06, + "loss": 0.7215, + "step": 25571 + }, + { + "epoch": 0.75, + "learning_rate": 1.536501407620728e-06, + "loss": 0.9787, + "step": 25572 + }, + { + "epoch": 0.75, + "learning_rate": 1.5361582868450654e-06, + "loss": 0.5383, + "step": 25573 + }, + { + "epoch": 0.75, + "learning_rate": 1.5358151974317754e-06, + "loss": 0.6843, + "step": 25574 + }, + { + "epoch": 0.75, + "learning_rate": 1.5354721393839605e-06, + "loss": 0.654, + "step": 25575 + }, + { + "epoch": 0.75, + "learning_rate": 1.5351291127047296e-06, + "loss": 0.607, + "step": 25576 + }, + { + "epoch": 0.75, + "learning_rate": 1.534786117397185e-06, + "loss": 0.6544, + "step": 25577 + }, + { + "epoch": 0.75, + "learning_rate": 1.534443153464436e-06, + "loss": 0.9018, + "step": 25578 + }, + { + "epoch": 0.75, + "learning_rate": 1.534100220909584e-06, + "loss": 0.752, + "step": 25579 + }, + { + "epoch": 0.75, + "learning_rate": 1.533757319735738e-06, + "loss": 0.8633, + "step": 25580 + }, + { + "epoch": 0.75, + "learning_rate": 1.5334144499459986e-06, + "loss": 0.9672, + "step": 25581 + }, + { + "epoch": 0.75, + "learning_rate": 1.5330716115434741e-06, + "loss": 0.6858, + "step": 25582 + }, + { + "epoch": 0.75, + "learning_rate": 1.532728804531265e-06, + "loss": 0.8446, + "step": 25583 + }, + { + "epoch": 0.75, + "learning_rate": 1.5323860289124775e-06, + "loss": 0.8147, + "step": 25584 + }, + { + "epoch": 0.75, + "learning_rate": 1.5320432846902156e-06, + "loss": 0.6334, + "step": 25585 + }, + { + "epoch": 0.75, + "learning_rate": 1.5317005718675804e-06, + "loss": 0.501, + "step": 25586 + }, + { + "epoch": 0.75, + "learning_rate": 1.5313578904476779e-06, + "loss": 0.7668, + "step": 25587 + }, + { + "epoch": 0.75, + "learning_rate": 1.531015240433607e-06, + "loss": 0.7643, + "step": 25588 + }, + { + "epoch": 0.75, + "learning_rate": 1.5306726218284735e-06, + "loss": 0.7489, + "step": 25589 + }, + { + "epoch": 0.75, + "learning_rate": 1.5303300346353773e-06, + "loss": 0.8859, + "step": 25590 + }, + { + "epoch": 0.75, + "learning_rate": 1.529987478857422e-06, + "loss": 0.7733, + "step": 25591 + }, + { + "epoch": 0.75, + "learning_rate": 1.5296449544977055e-06, + "loss": 0.941, + "step": 25592 + }, + { + "epoch": 0.75, + "learning_rate": 1.5293024615593355e-06, + "loss": 0.7539, + "step": 25593 + }, + { + "epoch": 0.75, + "learning_rate": 1.528960000045407e-06, + "loss": 0.5498, + "step": 25594 + }, + { + "epoch": 0.75, + "learning_rate": 1.528617569959025e-06, + "loss": 0.789, + "step": 25595 + }, + { + "epoch": 0.75, + "learning_rate": 1.5282751713032868e-06, + "loss": 0.4612, + "step": 25596 + }, + { + "epoch": 0.75, + "learning_rate": 1.5279328040812953e-06, + "loss": 0.6872, + "step": 25597 + }, + { + "epoch": 0.75, + "learning_rate": 1.5275904682961474e-06, + "loss": 0.7243, + "step": 25598 + }, + { + "epoch": 0.75, + "learning_rate": 1.5272481639509451e-06, + "loss": 0.6785, + "step": 25599 + }, + { + "epoch": 0.75, + "learning_rate": 1.5269058910487862e-06, + "loss": 0.6731, + "step": 25600 + }, + { + "epoch": 0.75, + "learning_rate": 1.5265636495927711e-06, + "loss": 0.8554, + "step": 25601 + }, + { + "epoch": 0.75, + "learning_rate": 1.5262214395859959e-06, + "loss": 0.6757, + "step": 25602 + }, + { + "epoch": 0.75, + "learning_rate": 1.5258792610315614e-06, + "loss": 0.625, + "step": 25603 + }, + { + "epoch": 0.75, + "learning_rate": 1.5255371139325664e-06, + "loss": 0.6303, + "step": 25604 + }, + { + "epoch": 0.75, + "learning_rate": 1.5251949982921066e-06, + "loss": 0.6306, + "step": 25605 + }, + { + "epoch": 0.75, + "learning_rate": 1.5248529141132816e-06, + "loss": 0.7726, + "step": 25606 + }, + { + "epoch": 0.75, + "learning_rate": 1.5245108613991866e-06, + "loss": 0.7869, + "step": 25607 + }, + { + "epoch": 0.75, + "learning_rate": 1.5241688401529208e-06, + "loss": 0.8162, + "step": 25608 + }, + { + "epoch": 0.75, + "learning_rate": 1.5238268503775782e-06, + "loss": 0.8489, + "step": 25609 + }, + { + "epoch": 0.75, + "learning_rate": 1.5234848920762585e-06, + "loss": 0.8554, + "step": 25610 + }, + { + "epoch": 0.75, + "learning_rate": 1.5231429652520552e-06, + "loss": 0.8033, + "step": 25611 + }, + { + "epoch": 0.75, + "learning_rate": 1.5228010699080647e-06, + "loss": 0.9269, + "step": 25612 + }, + { + "epoch": 0.75, + "learning_rate": 1.522459206047383e-06, + "loss": 0.7272, + "step": 25613 + }, + { + "epoch": 0.75, + "learning_rate": 1.5221173736731077e-06, + "loss": 0.6379, + "step": 25614 + }, + { + "epoch": 0.75, + "learning_rate": 1.5217755727883294e-06, + "loss": 0.7007, + "step": 25615 + }, + { + "epoch": 0.75, + "learning_rate": 1.5214338033961474e-06, + "loss": 0.5852, + "step": 25616 + }, + { + "epoch": 0.75, + "learning_rate": 1.5210920654996514e-06, + "loss": 0.5472, + "step": 25617 + }, + { + "epoch": 0.75, + "learning_rate": 1.5207503591019401e-06, + "loss": 0.8577, + "step": 25618 + }, + { + "epoch": 0.75, + "learning_rate": 1.5204086842061033e-06, + "loss": 0.5024, + "step": 25619 + }, + { + "epoch": 0.75, + "learning_rate": 1.5200670408152384e-06, + "loss": 0.8161, + "step": 25620 + }, + { + "epoch": 0.75, + "learning_rate": 1.5197254289324358e-06, + "loss": 0.6437, + "step": 25621 + }, + { + "epoch": 0.75, + "learning_rate": 1.5193838485607893e-06, + "loss": 1.0934, + "step": 25622 + }, + { + "epoch": 0.75, + "learning_rate": 1.5190422997033933e-06, + "loss": 0.7886, + "step": 25623 + }, + { + "epoch": 0.75, + "learning_rate": 1.5187007823633376e-06, + "loss": 1.0074, + "step": 25624 + }, + { + "epoch": 0.75, + "learning_rate": 1.518359296543717e-06, + "loss": 0.6718, + "step": 25625 + }, + { + "epoch": 0.75, + "learning_rate": 1.518017842247621e-06, + "loss": 0.6874, + "step": 25626 + }, + { + "epoch": 0.75, + "learning_rate": 1.5176764194781435e-06, + "loss": 0.7287, + "step": 25627 + }, + { + "epoch": 0.75, + "learning_rate": 1.5173350282383731e-06, + "loss": 0.6472, + "step": 25628 + }, + { + "epoch": 0.75, + "learning_rate": 1.5169936685314034e-06, + "loss": 0.9657, + "step": 25629 + }, + { + "epoch": 0.75, + "learning_rate": 1.5166523403603233e-06, + "loss": 0.7331, + "step": 25630 + }, + { + "epoch": 0.75, + "learning_rate": 1.5163110437282253e-06, + "loss": 0.9727, + "step": 25631 + }, + { + "epoch": 0.75, + "learning_rate": 1.5159697786381949e-06, + "loss": 0.6481, + "step": 25632 + }, + { + "epoch": 0.75, + "learning_rate": 1.5156285450933289e-06, + "loss": 0.915, + "step": 25633 + }, + { + "epoch": 0.75, + "learning_rate": 1.515287343096712e-06, + "loss": 0.9717, + "step": 25634 + }, + { + "epoch": 0.75, + "learning_rate": 1.5149461726514364e-06, + "loss": 0.7185, + "step": 25635 + }, + { + "epoch": 0.75, + "learning_rate": 1.5146050337605877e-06, + "loss": 0.8565, + "step": 25636 + }, + { + "epoch": 0.75, + "learning_rate": 1.5142639264272585e-06, + "loss": 1.0144, + "step": 25637 + }, + { + "epoch": 0.75, + "learning_rate": 1.5139228506545334e-06, + "loss": 1.0364, + "step": 25638 + }, + { + "epoch": 0.75, + "learning_rate": 1.5135818064455042e-06, + "loss": 0.7156, + "step": 25639 + }, + { + "epoch": 0.75, + "learning_rate": 1.5132407938032556e-06, + "loss": 0.6745, + "step": 25640 + }, + { + "epoch": 0.75, + "learning_rate": 1.5128998127308786e-06, + "loss": 0.5841, + "step": 25641 + }, + { + "epoch": 0.75, + "learning_rate": 1.512558863231457e-06, + "loss": 0.5652, + "step": 25642 + }, + { + "epoch": 0.75, + "learning_rate": 1.5122179453080787e-06, + "loss": 0.5834, + "step": 25643 + }, + { + "epoch": 0.75, + "learning_rate": 1.5118770589638338e-06, + "loss": 0.6857, + "step": 25644 + }, + { + "epoch": 0.75, + "learning_rate": 1.511536204201804e-06, + "loss": 0.6649, + "step": 25645 + }, + { + "epoch": 0.75, + "learning_rate": 1.5111953810250795e-06, + "loss": 0.7616, + "step": 25646 + }, + { + "epoch": 0.75, + "learning_rate": 1.5108545894367422e-06, + "loss": 0.5574, + "step": 25647 + }, + { + "epoch": 0.75, + "learning_rate": 1.5105138294398818e-06, + "loss": 0.385, + "step": 25648 + }, + { + "epoch": 0.75, + "learning_rate": 1.5101731010375802e-06, + "loss": 0.6655, + "step": 25649 + }, + { + "epoch": 0.75, + "learning_rate": 1.5098324042329253e-06, + "loss": 0.6197, + "step": 25650 + }, + { + "epoch": 0.75, + "learning_rate": 1.5094917390289987e-06, + "loss": 0.9325, + "step": 25651 + }, + { + "epoch": 0.75, + "learning_rate": 1.5091511054288865e-06, + "loss": 0.646, + "step": 25652 + }, + { + "epoch": 0.75, + "learning_rate": 1.5088105034356732e-06, + "loss": 0.7948, + "step": 25653 + }, + { + "epoch": 0.75, + "learning_rate": 1.5084699330524438e-06, + "loss": 0.6652, + "step": 25654 + }, + { + "epoch": 0.75, + "learning_rate": 1.5081293942822794e-06, + "loss": 0.7333, + "step": 25655 + }, + { + "epoch": 0.75, + "learning_rate": 1.5077888871282654e-06, + "loss": 0.5412, + "step": 25656 + }, + { + "epoch": 0.75, + "learning_rate": 1.5074484115934829e-06, + "loss": 0.5314, + "step": 25657 + }, + { + "epoch": 0.75, + "learning_rate": 1.5071079676810163e-06, + "loss": 0.5181, + "step": 25658 + }, + { + "epoch": 0.75, + "learning_rate": 1.5067675553939464e-06, + "loss": 0.6638, + "step": 25659 + }, + { + "epoch": 0.75, + "learning_rate": 1.5064271747353576e-06, + "loss": 0.4456, + "step": 25660 + }, + { + "epoch": 0.75, + "learning_rate": 1.5060868257083294e-06, + "loss": 0.8283, + "step": 25661 + }, + { + "epoch": 0.75, + "learning_rate": 1.505746508315944e-06, + "loss": 0.6781, + "step": 25662 + }, + { + "epoch": 0.75, + "learning_rate": 1.5054062225612848e-06, + "loss": 0.5967, + "step": 25663 + }, + { + "epoch": 0.75, + "learning_rate": 1.5050659684474295e-06, + "loss": 0.6974, + "step": 25664 + }, + { + "epoch": 0.75, + "learning_rate": 1.5047257459774628e-06, + "loss": 0.8223, + "step": 25665 + }, + { + "epoch": 0.75, + "learning_rate": 1.5043855551544606e-06, + "loss": 0.7003, + "step": 25666 + }, + { + "epoch": 0.75, + "learning_rate": 1.5040453959815072e-06, + "loss": 0.8574, + "step": 25667 + }, + { + "epoch": 0.75, + "learning_rate": 1.5037052684616793e-06, + "loss": 0.5123, + "step": 25668 + }, + { + "epoch": 0.75, + "learning_rate": 1.5033651725980586e-06, + "loss": 0.506, + "step": 25669 + }, + { + "epoch": 0.75, + "learning_rate": 1.503025108393723e-06, + "loss": 0.6537, + "step": 25670 + }, + { + "epoch": 0.75, + "learning_rate": 1.5026850758517513e-06, + "loss": 0.7542, + "step": 25671 + }, + { + "epoch": 0.75, + "learning_rate": 1.5023450749752238e-06, + "loss": 0.5571, + "step": 25672 + }, + { + "epoch": 0.75, + "learning_rate": 1.5020051057672191e-06, + "loss": 0.7875, + "step": 25673 + }, + { + "epoch": 0.75, + "learning_rate": 1.5016651682308137e-06, + "loss": 0.6673, + "step": 25674 + }, + { + "epoch": 0.75, + "learning_rate": 1.501325262369087e-06, + "loss": 0.6557, + "step": 25675 + }, + { + "epoch": 0.75, + "learning_rate": 1.5009853881851144e-06, + "loss": 0.7208, + "step": 25676 + }, + { + "epoch": 0.75, + "learning_rate": 1.5006455456819763e-06, + "loss": 0.4678, + "step": 25677 + }, + { + "epoch": 0.75, + "learning_rate": 1.5003057348627464e-06, + "loss": 0.9324, + "step": 25678 + }, + { + "epoch": 0.75, + "learning_rate": 1.4999659557305046e-06, + "loss": 0.8169, + "step": 25679 + }, + { + "epoch": 0.75, + "learning_rate": 1.4996262082883245e-06, + "loss": 0.6798, + "step": 25680 + }, + { + "epoch": 0.75, + "learning_rate": 1.4992864925392831e-06, + "loss": 0.6379, + "step": 25681 + }, + { + "epoch": 0.75, + "learning_rate": 1.4989468084864584e-06, + "loss": 0.7196, + "step": 25682 + }, + { + "epoch": 0.75, + "learning_rate": 1.4986071561329224e-06, + "loss": 0.6965, + "step": 25683 + }, + { + "epoch": 0.75, + "learning_rate": 1.4982675354817544e-06, + "loss": 0.6575, + "step": 25684 + }, + { + "epoch": 0.75, + "learning_rate": 1.4979279465360251e-06, + "loss": 0.8573, + "step": 25685 + }, + { + "epoch": 0.75, + "learning_rate": 1.497588389298813e-06, + "loss": 0.7599, + "step": 25686 + }, + { + "epoch": 0.75, + "learning_rate": 1.4972488637731896e-06, + "loss": 1.1335, + "step": 25687 + }, + { + "epoch": 0.75, + "learning_rate": 1.4969093699622318e-06, + "loss": 0.8188, + "step": 25688 + }, + { + "epoch": 0.75, + "learning_rate": 1.4965699078690098e-06, + "loss": 0.5251, + "step": 25689 + }, + { + "epoch": 0.75, + "learning_rate": 1.4962304774966013e-06, + "loss": 0.9046, + "step": 25690 + }, + { + "epoch": 0.75, + "learning_rate": 1.4958910788480746e-06, + "loss": 0.7001, + "step": 25691 + }, + { + "epoch": 0.75, + "learning_rate": 1.4955517119265083e-06, + "loss": 0.8936, + "step": 25692 + }, + { + "epoch": 0.75, + "learning_rate": 1.4952123767349712e-06, + "loss": 0.6097, + "step": 25693 + }, + { + "epoch": 0.75, + "learning_rate": 1.4948730732765388e-06, + "loss": 0.8911, + "step": 25694 + }, + { + "epoch": 0.75, + "learning_rate": 1.4945338015542799e-06, + "loss": 0.4384, + "step": 25695 + }, + { + "epoch": 0.75, + "learning_rate": 1.4941945615712688e-06, + "loss": 0.6859, + "step": 25696 + }, + { + "epoch": 0.75, + "learning_rate": 1.4938553533305749e-06, + "loss": 0.5741, + "step": 25697 + }, + { + "epoch": 0.75, + "learning_rate": 1.4935161768352723e-06, + "loss": 0.7252, + "step": 25698 + }, + { + "epoch": 0.76, + "learning_rate": 1.4931770320884292e-06, + "loss": 0.8972, + "step": 25699 + }, + { + "epoch": 0.76, + "learning_rate": 1.4928379190931185e-06, + "loss": 0.6446, + "step": 25700 + }, + { + "epoch": 0.76, + "learning_rate": 1.492498837852408e-06, + "loss": 0.7525, + "step": 25701 + }, + { + "epoch": 0.76, + "learning_rate": 1.4921597883693694e-06, + "loss": 0.6159, + "step": 25702 + }, + { + "epoch": 0.76, + "learning_rate": 1.4918207706470739e-06, + "loss": 0.6949, + "step": 25703 + }, + { + "epoch": 0.76, + "learning_rate": 1.4914817846885883e-06, + "loss": 0.5819, + "step": 25704 + }, + { + "epoch": 0.76, + "learning_rate": 1.4911428304969845e-06, + "loss": 0.4674, + "step": 25705 + }, + { + "epoch": 0.76, + "learning_rate": 1.4908039080753283e-06, + "loss": 0.4987, + "step": 25706 + }, + { + "epoch": 0.76, + "learning_rate": 1.4904650174266926e-06, + "loss": 1.0182, + "step": 25707 + }, + { + "epoch": 0.76, + "learning_rate": 1.490126158554141e-06, + "loss": 0.5936, + "step": 25708 + }, + { + "epoch": 0.76, + "learning_rate": 1.4897873314607463e-06, + "loss": 0.6713, + "step": 25709 + }, + { + "epoch": 0.76, + "learning_rate": 1.489448536149572e-06, + "loss": 0.6572, + "step": 25710 + }, + { + "epoch": 0.76, + "learning_rate": 1.4891097726236875e-06, + "loss": 0.8071, + "step": 25711 + }, + { + "epoch": 0.76, + "learning_rate": 1.4887710408861606e-06, + "loss": 0.8135, + "step": 25712 + }, + { + "epoch": 0.76, + "learning_rate": 1.4884323409400592e-06, + "loss": 1.0187, + "step": 25713 + }, + { + "epoch": 0.76, + "learning_rate": 1.488093672788447e-06, + "loss": 0.8471, + "step": 25714 + }, + { + "epoch": 0.76, + "learning_rate": 1.487755036434394e-06, + "loss": 0.7229, + "step": 25715 + }, + { + "epoch": 0.76, + "learning_rate": 1.487416431880962e-06, + "loss": 0.685, + "step": 25716 + }, + { + "epoch": 0.76, + "learning_rate": 1.4870778591312206e-06, + "loss": 0.9168, + "step": 25717 + }, + { + "epoch": 0.76, + "learning_rate": 1.4867393181882327e-06, + "loss": 1.031, + "step": 25718 + }, + { + "epoch": 0.76, + "learning_rate": 1.4864008090550664e-06, + "loss": 0.6682, + "step": 25719 + }, + { + "epoch": 0.76, + "learning_rate": 1.4860623317347828e-06, + "loss": 0.5982, + "step": 25720 + }, + { + "epoch": 0.76, + "learning_rate": 1.4857238862304485e-06, + "loss": 0.6166, + "step": 25721 + }, + { + "epoch": 0.76, + "learning_rate": 1.4853854725451295e-06, + "loss": 0.7496, + "step": 25722 + }, + { + "epoch": 0.76, + "learning_rate": 1.4850470906818864e-06, + "loss": 0.7269, + "step": 25723 + }, + { + "epoch": 0.76, + "learning_rate": 1.484708740643787e-06, + "loss": 0.6016, + "step": 25724 + }, + { + "epoch": 0.76, + "learning_rate": 1.4843704224338911e-06, + "loss": 0.4867, + "step": 25725 + }, + { + "epoch": 0.76, + "learning_rate": 1.484032136055265e-06, + "loss": 0.3592, + "step": 25726 + }, + { + "epoch": 0.76, + "learning_rate": 1.4836938815109686e-06, + "loss": 0.7082, + "step": 25727 + }, + { + "epoch": 0.76, + "learning_rate": 1.4833556588040671e-06, + "loss": 0.7601, + "step": 25728 + }, + { + "epoch": 0.76, + "learning_rate": 1.4830174679376208e-06, + "loss": 0.5432, + "step": 25729 + }, + { + "epoch": 0.76, + "learning_rate": 1.4826793089146924e-06, + "loss": 0.6201, + "step": 25730 + }, + { + "epoch": 0.76, + "learning_rate": 1.4823411817383438e-06, + "loss": 0.6076, + "step": 25731 + }, + { + "epoch": 0.76, + "learning_rate": 1.4820030864116387e-06, + "loss": 0.7027, + "step": 25732 + }, + { + "epoch": 0.76, + "learning_rate": 1.4816650229376345e-06, + "loss": 0.5752, + "step": 25733 + }, + { + "epoch": 0.76, + "learning_rate": 1.481326991319395e-06, + "loss": 0.712, + "step": 25734 + }, + { + "epoch": 0.76, + "learning_rate": 1.480988991559979e-06, + "loss": 0.6014, + "step": 25735 + }, + { + "epoch": 0.76, + "learning_rate": 1.4806510236624483e-06, + "loss": 0.7753, + "step": 25736 + }, + { + "epoch": 0.76, + "learning_rate": 1.4803130876298604e-06, + "loss": 0.8657, + "step": 25737 + }, + { + "epoch": 0.76, + "learning_rate": 1.4799751834652793e-06, + "loss": 0.6164, + "step": 25738 + }, + { + "epoch": 0.76, + "learning_rate": 1.4796373111717593e-06, + "loss": 0.7061, + "step": 25739 + }, + { + "epoch": 0.76, + "learning_rate": 1.4792994707523628e-06, + "loss": 0.6523, + "step": 25740 + }, + { + "epoch": 0.76, + "learning_rate": 1.4789616622101493e-06, + "loss": 0.804, + "step": 25741 + }, + { + "epoch": 0.76, + "learning_rate": 1.478623885548175e-06, + "loss": 0.8058, + "step": 25742 + }, + { + "epoch": 0.76, + "learning_rate": 1.4782861407695009e-06, + "loss": 0.6477, + "step": 25743 + }, + { + "epoch": 0.76, + "learning_rate": 1.4779484278771817e-06, + "loss": 1.0052, + "step": 25744 + }, + { + "epoch": 0.76, + "learning_rate": 1.4776107468742785e-06, + "loss": 0.4534, + "step": 25745 + }, + { + "epoch": 0.76, + "learning_rate": 1.4772730977638456e-06, + "loss": 0.5681, + "step": 25746 + }, + { + "epoch": 0.76, + "learning_rate": 1.4769354805489427e-06, + "loss": 0.6345, + "step": 25747 + }, + { + "epoch": 0.76, + "learning_rate": 1.476597895232625e-06, + "loss": 0.8886, + "step": 25748 + }, + { + "epoch": 0.76, + "learning_rate": 1.4762603418179511e-06, + "loss": 0.6471, + "step": 25749 + }, + { + "epoch": 0.76, + "learning_rate": 1.4759228203079722e-06, + "loss": 0.6662, + "step": 25750 + }, + { + "epoch": 0.76, + "learning_rate": 1.4755853307057517e-06, + "loss": 0.6394, + "step": 25751 + }, + { + "epoch": 0.76, + "learning_rate": 1.4752478730143398e-06, + "loss": 1.0437, + "step": 25752 + }, + { + "epoch": 0.76, + "learning_rate": 1.4749104472367954e-06, + "loss": 0.8173, + "step": 25753 + }, + { + "epoch": 0.76, + "learning_rate": 1.4745730533761699e-06, + "loss": 0.942, + "step": 25754 + }, + { + "epoch": 0.76, + "learning_rate": 1.474235691435522e-06, + "loss": 0.4904, + "step": 25755 + }, + { + "epoch": 0.76, + "learning_rate": 1.473898361417903e-06, + "loss": 0.9092, + "step": 25756 + }, + { + "epoch": 0.76, + "learning_rate": 1.4735610633263703e-06, + "loss": 0.8823, + "step": 25757 + }, + { + "epoch": 0.76, + "learning_rate": 1.4732237971639741e-06, + "loss": 0.5904, + "step": 25758 + }, + { + "epoch": 0.76, + "learning_rate": 1.4728865629337724e-06, + "loss": 0.7398, + "step": 25759 + }, + { + "epoch": 0.76, + "learning_rate": 1.4725493606388142e-06, + "loss": 0.8245, + "step": 25760 + }, + { + "epoch": 0.76, + "learning_rate": 1.4722121902821545e-06, + "loss": 0.6076, + "step": 25761 + }, + { + "epoch": 0.76, + "learning_rate": 1.4718750518668485e-06, + "loss": 0.6302, + "step": 25762 + }, + { + "epoch": 0.76, + "learning_rate": 1.4715379453959444e-06, + "loss": 0.7103, + "step": 25763 + }, + { + "epoch": 0.76, + "learning_rate": 1.471200870872499e-06, + "loss": 0.664, + "step": 25764 + }, + { + "epoch": 0.76, + "learning_rate": 1.4708638282995596e-06, + "loss": 0.6032, + "step": 25765 + }, + { + "epoch": 0.76, + "learning_rate": 1.4705268176801818e-06, + "loss": 0.6213, + "step": 25766 + }, + { + "epoch": 0.76, + "learning_rate": 1.4701898390174135e-06, + "loss": 0.7044, + "step": 25767 + }, + { + "epoch": 0.76, + "learning_rate": 1.4698528923143097e-06, + "loss": 0.7383, + "step": 25768 + }, + { + "epoch": 0.76, + "learning_rate": 1.469515977573917e-06, + "loss": 0.7318, + "step": 25769 + }, + { + "epoch": 0.76, + "learning_rate": 1.4691790947992878e-06, + "loss": 0.7418, + "step": 25770 + }, + { + "epoch": 0.76, + "learning_rate": 1.468842243993473e-06, + "loss": 0.5297, + "step": 25771 + }, + { + "epoch": 0.76, + "learning_rate": 1.4685054251595233e-06, + "loss": 0.7237, + "step": 25772 + }, + { + "epoch": 0.76, + "learning_rate": 1.468168638300485e-06, + "loss": 0.6139, + "step": 25773 + }, + { + "epoch": 0.76, + "learning_rate": 1.467831883419411e-06, + "loss": 0.8281, + "step": 25774 + }, + { + "epoch": 0.76, + "learning_rate": 1.4674951605193476e-06, + "loss": 0.6478, + "step": 25775 + }, + { + "epoch": 0.76, + "learning_rate": 1.4671584696033464e-06, + "loss": 0.6973, + "step": 25776 + }, + { + "epoch": 0.76, + "learning_rate": 1.4668218106744525e-06, + "loss": 0.6271, + "step": 25777 + }, + { + "epoch": 0.76, + "learning_rate": 1.4664851837357176e-06, + "loss": 0.6869, + "step": 25778 + }, + { + "epoch": 0.76, + "learning_rate": 1.4661485887901855e-06, + "loss": 0.5237, + "step": 25779 + }, + { + "epoch": 0.76, + "learning_rate": 1.465812025840907e-06, + "loss": 0.7449, + "step": 25780 + }, + { + "epoch": 0.76, + "learning_rate": 1.4654754948909277e-06, + "loss": 0.6333, + "step": 25781 + }, + { + "epoch": 0.76, + "learning_rate": 1.465138995943297e-06, + "loss": 0.7659, + "step": 25782 + }, + { + "epoch": 0.76, + "learning_rate": 1.4648025290010593e-06, + "loss": 0.6289, + "step": 25783 + }, + { + "epoch": 0.76, + "learning_rate": 1.4644660940672628e-06, + "loss": 0.9222, + "step": 25784 + }, + { + "epoch": 0.76, + "learning_rate": 1.4641296911449527e-06, + "loss": 0.6176, + "step": 25785 + }, + { + "epoch": 0.76, + "learning_rate": 1.4637933202371734e-06, + "loss": 0.7753, + "step": 25786 + }, + { + "epoch": 0.76, + "learning_rate": 1.4634569813469735e-06, + "loss": 0.6077, + "step": 25787 + }, + { + "epoch": 0.76, + "learning_rate": 1.4631206744773952e-06, + "loss": 0.7718, + "step": 25788 + }, + { + "epoch": 0.76, + "learning_rate": 1.4627843996314845e-06, + "loss": 0.7732, + "step": 25789 + }, + { + "epoch": 0.76, + "learning_rate": 1.4624481568122868e-06, + "loss": 0.5343, + "step": 25790 + }, + { + "epoch": 0.76, + "learning_rate": 1.4621119460228477e-06, + "loss": 0.7152, + "step": 25791 + }, + { + "epoch": 0.76, + "learning_rate": 1.4617757672662091e-06, + "loss": 0.6749, + "step": 25792 + }, + { + "epoch": 0.76, + "learning_rate": 1.4614396205454168e-06, + "loss": 0.6188, + "step": 25793 + }, + { + "epoch": 0.76, + "learning_rate": 1.4611035058635115e-06, + "loss": 0.7505, + "step": 25794 + }, + { + "epoch": 0.76, + "learning_rate": 1.4607674232235398e-06, + "loss": 0.8088, + "step": 25795 + }, + { + "epoch": 0.76, + "learning_rate": 1.4604313726285413e-06, + "loss": 0.574, + "step": 25796 + }, + { + "epoch": 0.76, + "learning_rate": 1.4600953540815622e-06, + "loss": 0.6021, + "step": 25797 + }, + { + "epoch": 0.76, + "learning_rate": 1.4597593675856414e-06, + "loss": 0.6101, + "step": 25798 + }, + { + "epoch": 0.76, + "learning_rate": 1.4594234131438229e-06, + "loss": 0.5224, + "step": 25799 + }, + { + "epoch": 0.76, + "learning_rate": 1.4590874907591479e-06, + "loss": 0.683, + "step": 25800 + }, + { + "epoch": 0.76, + "learning_rate": 1.4587516004346603e-06, + "loss": 0.6308, + "step": 25801 + }, + { + "epoch": 0.76, + "learning_rate": 1.4584157421733974e-06, + "loss": 0.7065, + "step": 25802 + }, + { + "epoch": 0.76, + "learning_rate": 1.4580799159784037e-06, + "loss": 0.6555, + "step": 25803 + }, + { + "epoch": 0.76, + "learning_rate": 1.4577441218527166e-06, + "loss": 0.5144, + "step": 25804 + }, + { + "epoch": 0.76, + "learning_rate": 1.4574083597993792e-06, + "loss": 0.7926, + "step": 25805 + }, + { + "epoch": 0.76, + "learning_rate": 1.45707262982143e-06, + "loss": 0.5845, + "step": 25806 + }, + { + "epoch": 0.76, + "learning_rate": 1.4567369319219098e-06, + "loss": 0.7424, + "step": 25807 + }, + { + "epoch": 0.76, + "learning_rate": 1.4564012661038563e-06, + "loss": 0.4677, + "step": 25808 + }, + { + "epoch": 0.76, + "learning_rate": 1.4560656323703092e-06, + "loss": 0.9375, + "step": 25809 + }, + { + "epoch": 0.76, + "learning_rate": 1.4557300307243106e-06, + "loss": 0.4879, + "step": 25810 + }, + { + "epoch": 0.76, + "learning_rate": 1.4553944611688941e-06, + "loss": 0.8366, + "step": 25811 + }, + { + "epoch": 0.76, + "learning_rate": 1.4550589237071027e-06, + "loss": 0.5063, + "step": 25812 + }, + { + "epoch": 0.76, + "learning_rate": 1.4547234183419706e-06, + "loss": 0.92, + "step": 25813 + }, + { + "epoch": 0.76, + "learning_rate": 1.4543879450765385e-06, + "loss": 0.7838, + "step": 25814 + }, + { + "epoch": 0.76, + "learning_rate": 1.454052503913841e-06, + "loss": 0.6199, + "step": 25815 + }, + { + "epoch": 0.76, + "learning_rate": 1.453717094856918e-06, + "loss": 0.5645, + "step": 25816 + }, + { + "epoch": 0.76, + "learning_rate": 1.4533817179088039e-06, + "loss": 0.8338, + "step": 25817 + }, + { + "epoch": 0.76, + "learning_rate": 1.453046373072538e-06, + "loss": 0.636, + "step": 25818 + }, + { + "epoch": 0.76, + "learning_rate": 1.4527110603511519e-06, + "loss": 0.6777, + "step": 25819 + }, + { + "epoch": 0.76, + "learning_rate": 1.4523757797476878e-06, + "loss": 0.6081, + "step": 25820 + }, + { + "epoch": 0.76, + "learning_rate": 1.452040531265177e-06, + "loss": 0.6945, + "step": 25821 + }, + { + "epoch": 0.76, + "learning_rate": 1.451705314906658e-06, + "loss": 0.6959, + "step": 25822 + }, + { + "epoch": 0.76, + "learning_rate": 1.4513701306751622e-06, + "loss": 0.6803, + "step": 25823 + }, + { + "epoch": 0.76, + "learning_rate": 1.4510349785737282e-06, + "loss": 0.6123, + "step": 25824 + }, + { + "epoch": 0.76, + "learning_rate": 1.4506998586053872e-06, + "loss": 0.7836, + "step": 25825 + }, + { + "epoch": 0.76, + "learning_rate": 1.4503647707731766e-06, + "loss": 0.6598, + "step": 25826 + }, + { + "epoch": 0.76, + "learning_rate": 1.4500297150801274e-06, + "loss": 0.8843, + "step": 25827 + }, + { + "epoch": 0.76, + "learning_rate": 1.4496946915292763e-06, + "loss": 0.7874, + "step": 25828 + }, + { + "epoch": 0.76, + "learning_rate": 1.449359700123653e-06, + "loss": 0.5816, + "step": 25829 + }, + { + "epoch": 0.76, + "learning_rate": 1.4490247408662928e-06, + "loss": 0.8019, + "step": 25830 + }, + { + "epoch": 0.76, + "learning_rate": 1.44868981376023e-06, + "loss": 0.9867, + "step": 25831 + }, + { + "epoch": 0.76, + "learning_rate": 1.448354918808494e-06, + "loss": 0.7972, + "step": 25832 + }, + { + "epoch": 0.76, + "learning_rate": 1.4480200560141195e-06, + "loss": 0.7854, + "step": 25833 + }, + { + "epoch": 0.76, + "learning_rate": 1.4476852253801361e-06, + "loss": 0.7837, + "step": 25834 + }, + { + "epoch": 0.76, + "learning_rate": 1.4473504269095783e-06, + "loss": 0.7272, + "step": 25835 + }, + { + "epoch": 0.76, + "learning_rate": 1.4470156606054741e-06, + "loss": 0.6917, + "step": 25836 + }, + { + "epoch": 0.76, + "learning_rate": 1.4466809264708575e-06, + "loss": 0.7154, + "step": 25837 + }, + { + "epoch": 0.76, + "learning_rate": 1.4463462245087568e-06, + "loss": 0.8581, + "step": 25838 + }, + { + "epoch": 0.76, + "learning_rate": 1.4460115547222036e-06, + "loss": 0.7832, + "step": 25839 + }, + { + "epoch": 0.76, + "learning_rate": 1.4456769171142281e-06, + "loss": 0.7739, + "step": 25840 + }, + { + "epoch": 0.76, + "learning_rate": 1.4453423116878617e-06, + "loss": 0.5488, + "step": 25841 + }, + { + "epoch": 0.76, + "learning_rate": 1.4450077384461315e-06, + "loss": 0.6155, + "step": 25842 + }, + { + "epoch": 0.76, + "learning_rate": 1.4446731973920687e-06, + "loss": 0.449, + "step": 25843 + }, + { + "epoch": 0.76, + "learning_rate": 1.4443386885286998e-06, + "loss": 0.6661, + "step": 25844 + }, + { + "epoch": 0.76, + "learning_rate": 1.444004211859057e-06, + "loss": 0.8408, + "step": 25845 + }, + { + "epoch": 0.76, + "learning_rate": 1.4436697673861655e-06, + "loss": 0.4794, + "step": 25846 + }, + { + "epoch": 0.76, + "learning_rate": 1.4433353551130563e-06, + "loss": 0.6952, + "step": 25847 + }, + { + "epoch": 0.76, + "learning_rate": 1.4430009750427538e-06, + "loss": 0.8191, + "step": 25848 + }, + { + "epoch": 0.76, + "learning_rate": 1.4426666271782874e-06, + "loss": 0.6123, + "step": 25849 + }, + { + "epoch": 0.76, + "learning_rate": 1.4423323115226868e-06, + "loss": 0.6848, + "step": 25850 + }, + { + "epoch": 0.76, + "learning_rate": 1.4419980280789741e-06, + "loss": 0.5957, + "step": 25851 + }, + { + "epoch": 0.76, + "learning_rate": 1.4416637768501807e-06, + "loss": 0.6822, + "step": 25852 + }, + { + "epoch": 0.76, + "learning_rate": 1.4413295578393288e-06, + "loss": 0.6761, + "step": 25853 + }, + { + "epoch": 0.76, + "learning_rate": 1.4409953710494478e-06, + "loss": 0.5542, + "step": 25854 + }, + { + "epoch": 0.76, + "learning_rate": 1.4406612164835615e-06, + "loss": 0.6977, + "step": 25855 + }, + { + "epoch": 0.76, + "learning_rate": 1.4403270941446968e-06, + "loss": 0.5496, + "step": 25856 + }, + { + "epoch": 0.76, + "learning_rate": 1.4399930040358767e-06, + "loss": 0.8699, + "step": 25857 + }, + { + "epoch": 0.76, + "learning_rate": 1.4396589461601279e-06, + "loss": 0.7123, + "step": 25858 + }, + { + "epoch": 0.76, + "learning_rate": 1.4393249205204745e-06, + "loss": 0.4117, + "step": 25859 + }, + { + "epoch": 0.76, + "learning_rate": 1.4389909271199425e-06, + "loss": 0.6181, + "step": 25860 + }, + { + "epoch": 0.76, + "learning_rate": 1.4386569659615534e-06, + "loss": 0.5737, + "step": 25861 + }, + { + "epoch": 0.76, + "learning_rate": 1.4383230370483337e-06, + "loss": 0.7446, + "step": 25862 + }, + { + "epoch": 0.76, + "learning_rate": 1.437989140383303e-06, + "loss": 0.7662, + "step": 25863 + }, + { + "epoch": 0.76, + "learning_rate": 1.437655275969489e-06, + "loss": 0.5639, + "step": 25864 + }, + { + "epoch": 0.76, + "learning_rate": 1.4373214438099104e-06, + "loss": 0.6118, + "step": 25865 + }, + { + "epoch": 0.76, + "learning_rate": 1.436987643907593e-06, + "loss": 0.6291, + "step": 25866 + }, + { + "epoch": 0.76, + "learning_rate": 1.4366538762655564e-06, + "loss": 0.5438, + "step": 25867 + }, + { + "epoch": 0.76, + "learning_rate": 1.4363201408868237e-06, + "loss": 0.5533, + "step": 25868 + }, + { + "epoch": 0.76, + "learning_rate": 1.4359864377744193e-06, + "loss": 0.7167, + "step": 25869 + }, + { + "epoch": 0.76, + "learning_rate": 1.4356527669313598e-06, + "loss": 0.6261, + "step": 25870 + }, + { + "epoch": 0.76, + "learning_rate": 1.435319128360671e-06, + "loss": 0.7238, + "step": 25871 + }, + { + "epoch": 0.76, + "learning_rate": 1.4349855220653692e-06, + "loss": 0.9416, + "step": 25872 + }, + { + "epoch": 0.76, + "learning_rate": 1.4346519480484795e-06, + "loss": 0.5544, + "step": 25873 + }, + { + "epoch": 0.76, + "learning_rate": 1.4343184063130177e-06, + "loss": 0.761, + "step": 25874 + }, + { + "epoch": 0.76, + "learning_rate": 1.4339848968620074e-06, + "loss": 0.8052, + "step": 25875 + }, + { + "epoch": 0.76, + "learning_rate": 1.4336514196984657e-06, + "loss": 0.6387, + "step": 25876 + }, + { + "epoch": 0.76, + "learning_rate": 1.4333179748254144e-06, + "loss": 0.5814, + "step": 25877 + }, + { + "epoch": 0.76, + "learning_rate": 1.4329845622458682e-06, + "loss": 0.873, + "step": 25878 + }, + { + "epoch": 0.76, + "learning_rate": 1.432651181962852e-06, + "loss": 0.6556, + "step": 25879 + }, + { + "epoch": 0.76, + "learning_rate": 1.4323178339793798e-06, + "loss": 0.7566, + "step": 25880 + }, + { + "epoch": 0.76, + "learning_rate": 1.4319845182984726e-06, + "loss": 0.7356, + "step": 25881 + }, + { + "epoch": 0.76, + "learning_rate": 1.4316512349231453e-06, + "loss": 0.736, + "step": 25882 + }, + { + "epoch": 0.76, + "learning_rate": 1.4313179838564194e-06, + "loss": 0.804, + "step": 25883 + }, + { + "epoch": 0.76, + "learning_rate": 1.4309847651013075e-06, + "loss": 0.6625, + "step": 25884 + }, + { + "epoch": 0.76, + "learning_rate": 1.4306515786608316e-06, + "loss": 0.714, + "step": 25885 + }, + { + "epoch": 0.76, + "learning_rate": 1.4303184245380036e-06, + "loss": 0.5836, + "step": 25886 + }, + { + "epoch": 0.76, + "learning_rate": 1.4299853027358445e-06, + "loss": 0.8598, + "step": 25887 + }, + { + "epoch": 0.76, + "learning_rate": 1.4296522132573665e-06, + "loss": 0.7323, + "step": 25888 + }, + { + "epoch": 0.76, + "learning_rate": 1.4293191561055874e-06, + "loss": 0.5832, + "step": 25889 + }, + { + "epoch": 0.76, + "learning_rate": 1.428986131283524e-06, + "loss": 0.6837, + "step": 25890 + }, + { + "epoch": 0.76, + "learning_rate": 1.4286531387941887e-06, + "loss": 0.5818, + "step": 25891 + }, + { + "epoch": 0.76, + "learning_rate": 1.4283201786405992e-06, + "loss": 0.7945, + "step": 25892 + }, + { + "epoch": 0.76, + "learning_rate": 1.427987250825768e-06, + "loss": 0.7069, + "step": 25893 + }, + { + "epoch": 0.76, + "learning_rate": 1.4276543553527117e-06, + "loss": 0.5887, + "step": 25894 + }, + { + "epoch": 0.76, + "learning_rate": 1.4273214922244416e-06, + "loss": 0.6228, + "step": 25895 + }, + { + "epoch": 0.76, + "learning_rate": 1.4269886614439748e-06, + "loss": 0.7744, + "step": 25896 + }, + { + "epoch": 0.76, + "learning_rate": 1.4266558630143213e-06, + "loss": 0.7573, + "step": 25897 + }, + { + "epoch": 0.76, + "learning_rate": 1.4263230969384961e-06, + "loss": 0.8431, + "step": 25898 + }, + { + "epoch": 0.76, + "learning_rate": 1.4259903632195127e-06, + "loss": 0.6603, + "step": 25899 + }, + { + "epoch": 0.76, + "learning_rate": 1.4256576618603845e-06, + "loss": 0.6312, + "step": 25900 + }, + { + "epoch": 0.76, + "learning_rate": 1.4253249928641212e-06, + "loss": 0.5424, + "step": 25901 + }, + { + "epoch": 0.76, + "learning_rate": 1.4249923562337376e-06, + "loss": 0.7689, + "step": 25902 + }, + { + "epoch": 0.76, + "learning_rate": 1.424659751972242e-06, + "loss": 0.5395, + "step": 25903 + }, + { + "epoch": 0.76, + "learning_rate": 1.4243271800826503e-06, + "loss": 0.5664, + "step": 25904 + }, + { + "epoch": 0.76, + "learning_rate": 1.4239946405679693e-06, + "loss": 0.7727, + "step": 25905 + }, + { + "epoch": 0.76, + "learning_rate": 1.4236621334312139e-06, + "loss": 0.9365, + "step": 25906 + }, + { + "epoch": 0.76, + "learning_rate": 1.4233296586753908e-06, + "loss": 0.6006, + "step": 25907 + }, + { + "epoch": 0.76, + "learning_rate": 1.4229972163035127e-06, + "loss": 0.7187, + "step": 25908 + }, + { + "epoch": 0.76, + "learning_rate": 1.4226648063185905e-06, + "loss": 0.9778, + "step": 25909 + }, + { + "epoch": 0.76, + "learning_rate": 1.4223324287236306e-06, + "loss": 0.5721, + "step": 25910 + }, + { + "epoch": 0.76, + "learning_rate": 1.4220000835216464e-06, + "loss": 0.6089, + "step": 25911 + }, + { + "epoch": 0.76, + "learning_rate": 1.421667770715643e-06, + "loss": 0.7763, + "step": 25912 + }, + { + "epoch": 0.76, + "learning_rate": 1.421335490308633e-06, + "loss": 0.801, + "step": 25913 + }, + { + "epoch": 0.76, + "learning_rate": 1.4210032423036219e-06, + "loss": 0.583, + "step": 25914 + }, + { + "epoch": 0.76, + "learning_rate": 1.42067102670362e-06, + "loss": 0.574, + "step": 25915 + }, + { + "epoch": 0.76, + "learning_rate": 1.4203388435116333e-06, + "loss": 0.6814, + "step": 25916 + }, + { + "epoch": 0.76, + "learning_rate": 1.4200066927306704e-06, + "loss": 0.7142, + "step": 25917 + }, + { + "epoch": 0.76, + "learning_rate": 1.419674574363739e-06, + "loss": 0.7316, + "step": 25918 + }, + { + "epoch": 0.76, + "learning_rate": 1.4193424884138479e-06, + "loss": 0.4478, + "step": 25919 + }, + { + "epoch": 0.76, + "learning_rate": 1.419010434884e-06, + "loss": 0.8616, + "step": 25920 + }, + { + "epoch": 0.76, + "learning_rate": 1.4186784137772059e-06, + "loss": 0.7907, + "step": 25921 + }, + { + "epoch": 0.76, + "learning_rate": 1.418346425096468e-06, + "loss": 0.608, + "step": 25922 + }, + { + "epoch": 0.76, + "learning_rate": 1.418014468844795e-06, + "loss": 0.5854, + "step": 25923 + }, + { + "epoch": 0.76, + "learning_rate": 1.4176825450251902e-06, + "loss": 0.5839, + "step": 25924 + }, + { + "epoch": 0.76, + "learning_rate": 1.4173506536406616e-06, + "loss": 0.5372, + "step": 25925 + }, + { + "epoch": 0.76, + "learning_rate": 1.417018794694211e-06, + "loss": 0.6225, + "step": 25926 + }, + { + "epoch": 0.76, + "learning_rate": 1.416686968188845e-06, + "loss": 0.641, + "step": 25927 + }, + { + "epoch": 0.76, + "learning_rate": 1.4163551741275694e-06, + "loss": 0.6091, + "step": 25928 + }, + { + "epoch": 0.76, + "learning_rate": 1.4160234125133853e-06, + "loss": 0.7091, + "step": 25929 + }, + { + "epoch": 0.76, + "learning_rate": 1.4156916833492995e-06, + "loss": 0.5562, + "step": 25930 + }, + { + "epoch": 0.76, + "learning_rate": 1.4153599866383121e-06, + "loss": 0.6315, + "step": 25931 + }, + { + "epoch": 0.76, + "learning_rate": 1.4150283223834305e-06, + "loss": 0.5595, + "step": 25932 + }, + { + "epoch": 0.76, + "learning_rate": 1.4146966905876541e-06, + "loss": 0.5871, + "step": 25933 + }, + { + "epoch": 0.76, + "learning_rate": 1.414365091253988e-06, + "loss": 0.7571, + "step": 25934 + }, + { + "epoch": 0.76, + "learning_rate": 1.4140335243854326e-06, + "loss": 0.768, + "step": 25935 + }, + { + "epoch": 0.76, + "learning_rate": 1.4137019899849918e-06, + "loss": 0.4635, + "step": 25936 + }, + { + "epoch": 0.76, + "learning_rate": 1.4133704880556636e-06, + "loss": 0.7192, + "step": 25937 + }, + { + "epoch": 0.76, + "learning_rate": 1.4130390186004555e-06, + "loss": 0.7624, + "step": 25938 + }, + { + "epoch": 0.76, + "learning_rate": 1.4127075816223646e-06, + "loss": 0.881, + "step": 25939 + }, + { + "epoch": 0.76, + "learning_rate": 1.4123761771243939e-06, + "loss": 0.7219, + "step": 25940 + }, + { + "epoch": 0.76, + "learning_rate": 1.4120448051095415e-06, + "loss": 0.5672, + "step": 25941 + }, + { + "epoch": 0.76, + "learning_rate": 1.41171346558081e-06, + "loss": 0.4847, + "step": 25942 + }, + { + "epoch": 0.76, + "learning_rate": 1.411382158541198e-06, + "loss": 0.652, + "step": 25943 + }, + { + "epoch": 0.76, + "learning_rate": 1.4110508839937064e-06, + "loss": 0.7925, + "step": 25944 + }, + { + "epoch": 0.76, + "learning_rate": 1.4107196419413328e-06, + "loss": 0.8494, + "step": 25945 + }, + { + "epoch": 0.76, + "learning_rate": 1.4103884323870793e-06, + "loss": 0.8279, + "step": 25946 + }, + { + "epoch": 0.76, + "learning_rate": 1.4100572553339414e-06, + "loss": 1.133, + "step": 25947 + }, + { + "epoch": 0.76, + "learning_rate": 1.4097261107849193e-06, + "loss": 0.5451, + "step": 25948 + }, + { + "epoch": 0.76, + "learning_rate": 1.4093949987430123e-06, + "loss": 0.7496, + "step": 25949 + }, + { + "epoch": 0.76, + "learning_rate": 1.4090639192112154e-06, + "loss": 0.9575, + "step": 25950 + }, + { + "epoch": 0.76, + "learning_rate": 1.4087328721925304e-06, + "loss": 0.7637, + "step": 25951 + }, + { + "epoch": 0.76, + "learning_rate": 1.4084018576899505e-06, + "loss": 0.6385, + "step": 25952 + }, + { + "epoch": 0.76, + "learning_rate": 1.4080708757064765e-06, + "loss": 0.7381, + "step": 25953 + }, + { + "epoch": 0.76, + "learning_rate": 1.4077399262451013e-06, + "loss": 0.6347, + "step": 25954 + }, + { + "epoch": 0.76, + "learning_rate": 1.4074090093088249e-06, + "loss": 0.6565, + "step": 25955 + }, + { + "epoch": 0.76, + "learning_rate": 1.407078124900641e-06, + "loss": 0.8041, + "step": 25956 + }, + { + "epoch": 0.76, + "learning_rate": 1.4067472730235465e-06, + "loss": 0.6559, + "step": 25957 + }, + { + "epoch": 0.76, + "learning_rate": 1.4064164536805364e-06, + "loss": 0.7192, + "step": 25958 + }, + { + "epoch": 0.76, + "learning_rate": 1.4060856668746086e-06, + "loss": 0.7453, + "step": 25959 + }, + { + "epoch": 0.76, + "learning_rate": 1.4057549126087544e-06, + "loss": 0.4767, + "step": 25960 + }, + { + "epoch": 0.76, + "learning_rate": 1.4054241908859723e-06, + "loss": 0.5341, + "step": 25961 + }, + { + "epoch": 0.76, + "learning_rate": 1.4050935017092526e-06, + "loss": 0.8506, + "step": 25962 + }, + { + "epoch": 0.76, + "learning_rate": 1.404762845081593e-06, + "loss": 0.6192, + "step": 25963 + }, + { + "epoch": 0.76, + "learning_rate": 1.4044322210059847e-06, + "loss": 0.3895, + "step": 25964 + }, + { + "epoch": 0.76, + "learning_rate": 1.4041016294854237e-06, + "loss": 0.4561, + "step": 25965 + }, + { + "epoch": 0.76, + "learning_rate": 1.4037710705229006e-06, + "loss": 0.8019, + "step": 25966 + }, + { + "epoch": 0.76, + "learning_rate": 1.4034405441214093e-06, + "loss": 0.7584, + "step": 25967 + }, + { + "epoch": 0.76, + "learning_rate": 1.4031100502839451e-06, + "loss": 0.7174, + "step": 25968 + }, + { + "epoch": 0.76, + "learning_rate": 1.4027795890134959e-06, + "loss": 0.7226, + "step": 25969 + }, + { + "epoch": 0.76, + "learning_rate": 1.402449160313058e-06, + "loss": 0.6431, + "step": 25970 + }, + { + "epoch": 0.76, + "learning_rate": 1.4021187641856194e-06, + "loss": 0.6316, + "step": 25971 + }, + { + "epoch": 0.76, + "learning_rate": 1.4017884006341748e-06, + "loss": 0.6206, + "step": 25972 + }, + { + "epoch": 0.76, + "learning_rate": 1.401458069661712e-06, + "loss": 0.6893, + "step": 25973 + }, + { + "epoch": 0.76, + "learning_rate": 1.4011277712712257e-06, + "loss": 0.606, + "step": 25974 + }, + { + "epoch": 0.76, + "learning_rate": 1.4007975054657031e-06, + "loss": 0.7119, + "step": 25975 + }, + { + "epoch": 0.76, + "learning_rate": 1.4004672722481377e-06, + "loss": 0.9632, + "step": 25976 + }, + { + "epoch": 0.76, + "learning_rate": 1.4001370716215145e-06, + "loss": 0.9168, + "step": 25977 + }, + { + "epoch": 0.76, + "learning_rate": 1.3998069035888294e-06, + "loss": 0.7437, + "step": 25978 + }, + { + "epoch": 0.76, + "learning_rate": 1.399476768153068e-06, + "loss": 0.6625, + "step": 25979 + }, + { + "epoch": 0.76, + "learning_rate": 1.3991466653172215e-06, + "loss": 0.7494, + "step": 25980 + }, + { + "epoch": 0.76, + "learning_rate": 1.3988165950842758e-06, + "loss": 0.7271, + "step": 25981 + }, + { + "epoch": 0.76, + "learning_rate": 1.3984865574572232e-06, + "loss": 0.9619, + "step": 25982 + }, + { + "epoch": 0.76, + "learning_rate": 1.3981565524390478e-06, + "loss": 0.6451, + "step": 25983 + }, + { + "epoch": 0.76, + "learning_rate": 1.3978265800327417e-06, + "loss": 0.8343, + "step": 25984 + }, + { + "epoch": 0.76, + "learning_rate": 1.3974966402412888e-06, + "loss": 0.9341, + "step": 25985 + }, + { + "epoch": 0.76, + "learning_rate": 1.397166733067678e-06, + "loss": 0.8298, + "step": 25986 + }, + { + "epoch": 0.76, + "learning_rate": 1.3968368585148978e-06, + "loss": 0.3984, + "step": 25987 + }, + { + "epoch": 0.76, + "learning_rate": 1.3965070165859324e-06, + "loss": 0.6634, + "step": 25988 + }, + { + "epoch": 0.76, + "learning_rate": 1.396177207283771e-06, + "loss": 0.5546, + "step": 25989 + }, + { + "epoch": 0.76, + "learning_rate": 1.3958474306113968e-06, + "loss": 0.7278, + "step": 25990 + }, + { + "epoch": 0.76, + "learning_rate": 1.3955176865717985e-06, + "loss": 0.7865, + "step": 25991 + }, + { + "epoch": 0.76, + "learning_rate": 1.3951879751679593e-06, + "loss": 0.7869, + "step": 25992 + }, + { + "epoch": 0.76, + "learning_rate": 1.3948582964028661e-06, + "loss": 0.6576, + "step": 25993 + }, + { + "epoch": 0.76, + "learning_rate": 1.3945286502795026e-06, + "loss": 0.7018, + "step": 25994 + }, + { + "epoch": 0.76, + "learning_rate": 1.394199036800855e-06, + "loss": 0.629, + "step": 25995 + }, + { + "epoch": 0.76, + "learning_rate": 1.3938694559699046e-06, + "loss": 0.4885, + "step": 25996 + }, + { + "epoch": 0.76, + "learning_rate": 1.39353990778964e-06, + "loss": 0.7046, + "step": 25997 + }, + { + "epoch": 0.76, + "learning_rate": 1.393210392263042e-06, + "loss": 0.7662, + "step": 25998 + }, + { + "epoch": 0.76, + "learning_rate": 1.3928809093930956e-06, + "loss": 0.8306, + "step": 25999 + }, + { + "epoch": 0.76, + "learning_rate": 1.392551459182782e-06, + "loss": 0.7423, + "step": 26000 + }, + { + "epoch": 0.76, + "learning_rate": 1.3922220416350873e-06, + "loss": 0.7663, + "step": 26001 + }, + { + "epoch": 0.76, + "learning_rate": 1.39189265675299e-06, + "loss": 0.8119, + "step": 26002 + }, + { + "epoch": 0.76, + "learning_rate": 1.3915633045394766e-06, + "loss": 0.8391, + "step": 26003 + }, + { + "epoch": 0.76, + "learning_rate": 1.3912339849975254e-06, + "loss": 0.7635, + "step": 26004 + }, + { + "epoch": 0.76, + "learning_rate": 1.3909046981301216e-06, + "loss": 0.6659, + "step": 26005 + }, + { + "epoch": 0.76, + "learning_rate": 1.390575443940243e-06, + "loss": 0.9186, + "step": 26006 + }, + { + "epoch": 0.76, + "learning_rate": 1.3902462224308732e-06, + "loss": 1.0441, + "step": 26007 + }, + { + "epoch": 0.76, + "learning_rate": 1.3899170336049938e-06, + "loss": 0.5995, + "step": 26008 + }, + { + "epoch": 0.76, + "learning_rate": 1.3895878774655824e-06, + "loss": 0.675, + "step": 26009 + }, + { + "epoch": 0.76, + "learning_rate": 1.3892587540156221e-06, + "loss": 0.5802, + "step": 26010 + }, + { + "epoch": 0.76, + "learning_rate": 1.3889296632580906e-06, + "loss": 0.8117, + "step": 26011 + }, + { + "epoch": 0.76, + "learning_rate": 1.3886006051959699e-06, + "loss": 0.9802, + "step": 26012 + }, + { + "epoch": 0.76, + "learning_rate": 1.3882715798322366e-06, + "loss": 0.6037, + "step": 26013 + }, + { + "epoch": 0.76, + "learning_rate": 1.3879425871698726e-06, + "loss": 0.5363, + "step": 26014 + }, + { + "epoch": 0.76, + "learning_rate": 1.387613627211854e-06, + "loss": 0.667, + "step": 26015 + }, + { + "epoch": 0.76, + "learning_rate": 1.3872846999611606e-06, + "loss": 0.7305, + "step": 26016 + }, + { + "epoch": 0.76, + "learning_rate": 1.3869558054207705e-06, + "loss": 0.5363, + "step": 26017 + }, + { + "epoch": 0.76, + "learning_rate": 1.386626943593663e-06, + "loss": 0.8359, + "step": 26018 + }, + { + "epoch": 0.76, + "learning_rate": 1.3862981144828131e-06, + "loss": 0.733, + "step": 26019 + }, + { + "epoch": 0.76, + "learning_rate": 1.3859693180912005e-06, + "loss": 0.6368, + "step": 26020 + }, + { + "epoch": 0.76, + "learning_rate": 1.3856405544217994e-06, + "loss": 0.6791, + "step": 26021 + }, + { + "epoch": 0.76, + "learning_rate": 1.3853118234775897e-06, + "loss": 0.6175, + "step": 26022 + }, + { + "epoch": 0.76, + "learning_rate": 1.3849831252615447e-06, + "loss": 0.6137, + "step": 26023 + }, + { + "epoch": 0.76, + "learning_rate": 1.3846544597766438e-06, + "loss": 0.5731, + "step": 26024 + }, + { + "epoch": 0.76, + "learning_rate": 1.384325827025859e-06, + "loss": 0.7277, + "step": 26025 + }, + { + "epoch": 0.76, + "learning_rate": 1.3839972270121683e-06, + "loss": 0.7326, + "step": 26026 + }, + { + "epoch": 0.76, + "learning_rate": 1.3836686597385474e-06, + "loss": 0.9607, + "step": 26027 + }, + { + "epoch": 0.76, + "learning_rate": 1.3833401252079692e-06, + "loss": 0.694, + "step": 26028 + }, + { + "epoch": 0.76, + "learning_rate": 1.3830116234234109e-06, + "loss": 0.7916, + "step": 26029 + }, + { + "epoch": 0.76, + "learning_rate": 1.3826831543878433e-06, + "loss": 0.5136, + "step": 26030 + }, + { + "epoch": 0.76, + "learning_rate": 1.3823547181042445e-06, + "loss": 0.7505, + "step": 26031 + }, + { + "epoch": 0.76, + "learning_rate": 1.3820263145755847e-06, + "loss": 0.8125, + "step": 26032 + }, + { + "epoch": 0.76, + "learning_rate": 1.38169794380484e-06, + "loss": 0.816, + "step": 26033 + }, + { + "epoch": 0.76, + "learning_rate": 1.3813696057949804e-06, + "loss": 0.7856, + "step": 26034 + }, + { + "epoch": 0.76, + "learning_rate": 1.3810413005489831e-06, + "loss": 0.4786, + "step": 26035 + }, + { + "epoch": 0.76, + "learning_rate": 1.3807130280698144e-06, + "loss": 0.7207, + "step": 26036 + }, + { + "epoch": 0.76, + "learning_rate": 1.3803847883604538e-06, + "loss": 0.9346, + "step": 26037 + }, + { + "epoch": 0.76, + "learning_rate": 1.3800565814238687e-06, + "loss": 0.6128, + "step": 26038 + }, + { + "epoch": 0.76, + "learning_rate": 1.3797284072630329e-06, + "loss": 0.7556, + "step": 26039 + }, + { + "epoch": 0.77, + "learning_rate": 1.3794002658809152e-06, + "loss": 0.6963, + "step": 26040 + }, + { + "epoch": 0.77, + "learning_rate": 1.3790721572804898e-06, + "loss": 0.6303, + "step": 26041 + }, + { + "epoch": 0.77, + "learning_rate": 1.3787440814647246e-06, + "loss": 0.9228, + "step": 26042 + }, + { + "epoch": 0.77, + "learning_rate": 1.378416038436593e-06, + "loss": 0.7456, + "step": 26043 + }, + { + "epoch": 0.77, + "learning_rate": 1.3780880281990616e-06, + "loss": 0.5699, + "step": 26044 + }, + { + "epoch": 0.77, + "learning_rate": 1.3777600507551037e-06, + "loss": 0.8987, + "step": 26045 + }, + { + "epoch": 0.77, + "learning_rate": 1.3774321061076862e-06, + "loss": 0.7883, + "step": 26046 + }, + { + "epoch": 0.77, + "learning_rate": 1.377104194259779e-06, + "loss": 0.593, + "step": 26047 + }, + { + "epoch": 0.77, + "learning_rate": 1.3767763152143538e-06, + "loss": 0.687, + "step": 26048 + }, + { + "epoch": 0.77, + "learning_rate": 1.3764484689743752e-06, + "loss": 0.7477, + "step": 26049 + }, + { + "epoch": 0.77, + "learning_rate": 1.3761206555428153e-06, + "loss": 0.6172, + "step": 26050 + }, + { + "epoch": 0.77, + "learning_rate": 1.3757928749226385e-06, + "loss": 0.7768, + "step": 26051 + }, + { + "epoch": 0.77, + "learning_rate": 1.3754651271168162e-06, + "loss": 0.7693, + "step": 26052 + }, + { + "epoch": 0.77, + "learning_rate": 1.375137412128313e-06, + "loss": 0.6197, + "step": 26053 + }, + { + "epoch": 0.77, + "learning_rate": 1.3748097299600983e-06, + "loss": 0.6741, + "step": 26054 + }, + { + "epoch": 0.77, + "learning_rate": 1.3744820806151354e-06, + "loss": 0.7537, + "step": 26055 + }, + { + "epoch": 0.77, + "learning_rate": 1.374154464096396e-06, + "loss": 0.8079, + "step": 26056 + }, + { + "epoch": 0.77, + "learning_rate": 1.3738268804068432e-06, + "loss": 0.7756, + "step": 26057 + }, + { + "epoch": 0.77, + "learning_rate": 1.3734993295494447e-06, + "loss": 1.0354, + "step": 26058 + }, + { + "epoch": 0.77, + "learning_rate": 1.3731718115271643e-06, + "loss": 0.8744, + "step": 26059 + }, + { + "epoch": 0.77, + "learning_rate": 1.3728443263429692e-06, + "loss": 0.8545, + "step": 26060 + }, + { + "epoch": 0.77, + "learning_rate": 1.3725168739998223e-06, + "loss": 0.6679, + "step": 26061 + }, + { + "epoch": 0.77, + "learning_rate": 1.372189454500692e-06, + "loss": 0.4793, + "step": 26062 + }, + { + "epoch": 0.77, + "learning_rate": 1.3718620678485384e-06, + "loss": 0.6489, + "step": 26063 + }, + { + "epoch": 0.77, + "learning_rate": 1.3715347140463298e-06, + "loss": 0.6721, + "step": 26064 + }, + { + "epoch": 0.77, + "learning_rate": 1.3712073930970271e-06, + "loss": 0.7628, + "step": 26065 + }, + { + "epoch": 0.77, + "learning_rate": 1.3708801050035946e-06, + "loss": 0.4999, + "step": 26066 + }, + { + "epoch": 0.77, + "learning_rate": 1.370552849768998e-06, + "loss": 0.6175, + "step": 26067 + }, + { + "epoch": 0.77, + "learning_rate": 1.3702256273961973e-06, + "loss": 0.9732, + "step": 26068 + }, + { + "epoch": 0.77, + "learning_rate": 1.3698984378881574e-06, + "loss": 0.6854, + "step": 26069 + }, + { + "epoch": 0.77, + "learning_rate": 1.3695712812478385e-06, + "loss": 0.7767, + "step": 26070 + }, + { + "epoch": 0.77, + "learning_rate": 1.3692441574782055e-06, + "loss": 0.5055, + "step": 26071 + }, + { + "epoch": 0.77, + "learning_rate": 1.3689170665822176e-06, + "loss": 1.0131, + "step": 26072 + }, + { + "epoch": 0.77, + "learning_rate": 1.3685900085628389e-06, + "loss": 0.7471, + "step": 26073 + }, + { + "epoch": 0.77, + "learning_rate": 1.3682629834230277e-06, + "loss": 0.9808, + "step": 26074 + }, + { + "epoch": 0.77, + "learning_rate": 1.3679359911657468e-06, + "loss": 0.607, + "step": 26075 + }, + { + "epoch": 0.77, + "learning_rate": 1.3676090317939567e-06, + "loss": 0.7937, + "step": 26076 + }, + { + "epoch": 0.77, + "learning_rate": 1.3672821053106189e-06, + "loss": 0.7741, + "step": 26077 + }, + { + "epoch": 0.77, + "learning_rate": 1.3669552117186908e-06, + "loss": 0.6201, + "step": 26078 + }, + { + "epoch": 0.77, + "learning_rate": 1.3666283510211347e-06, + "loss": 0.7631, + "step": 26079 + }, + { + "epoch": 0.77, + "learning_rate": 1.3663015232209082e-06, + "loss": 0.6784, + "step": 26080 + }, + { + "epoch": 0.77, + "learning_rate": 1.3659747283209723e-06, + "loss": 0.7066, + "step": 26081 + }, + { + "epoch": 0.77, + "learning_rate": 1.3656479663242838e-06, + "loss": 0.6961, + "step": 26082 + }, + { + "epoch": 0.77, + "learning_rate": 1.3653212372338033e-06, + "loss": 0.7248, + "step": 26083 + }, + { + "epoch": 0.77, + "learning_rate": 1.3649945410524867e-06, + "loss": 0.9131, + "step": 26084 + }, + { + "epoch": 0.77, + "learning_rate": 1.3646678777832934e-06, + "loss": 0.7479, + "step": 26085 + }, + { + "epoch": 0.77, + "learning_rate": 1.364341247429183e-06, + "loss": 0.7243, + "step": 26086 + }, + { + "epoch": 0.77, + "learning_rate": 1.364014649993109e-06, + "loss": 0.7203, + "step": 26087 + }, + { + "epoch": 0.77, + "learning_rate": 1.3636880854780316e-06, + "loss": 0.6373, + "step": 26088 + }, + { + "epoch": 0.77, + "learning_rate": 1.363361553886905e-06, + "loss": 0.8367, + "step": 26089 + }, + { + "epoch": 0.77, + "learning_rate": 1.363035055222689e-06, + "loss": 0.882, + "step": 26090 + }, + { + "epoch": 0.77, + "learning_rate": 1.3627085894883357e-06, + "loss": 0.8954, + "step": 26091 + }, + { + "epoch": 0.77, + "learning_rate": 1.3623821566868052e-06, + "loss": 0.683, + "step": 26092 + }, + { + "epoch": 0.77, + "learning_rate": 1.3620557568210496e-06, + "loss": 0.6478, + "step": 26093 + }, + { + "epoch": 0.77, + "learning_rate": 1.3617293898940266e-06, + "loss": 0.6038, + "step": 26094 + }, + { + "epoch": 0.77, + "learning_rate": 1.3614030559086878e-06, + "loss": 0.5723, + "step": 26095 + }, + { + "epoch": 0.77, + "learning_rate": 1.3610767548679931e-06, + "loss": 0.9025, + "step": 26096 + }, + { + "epoch": 0.77, + "learning_rate": 1.3607504867748921e-06, + "loss": 0.8022, + "step": 26097 + }, + { + "epoch": 0.77, + "learning_rate": 1.3604242516323435e-06, + "loss": 0.9756, + "step": 26098 + }, + { + "epoch": 0.77, + "learning_rate": 1.3600980494432963e-06, + "loss": 0.6754, + "step": 26099 + }, + { + "epoch": 0.77, + "learning_rate": 1.3597718802107079e-06, + "loss": 0.676, + "step": 26100 + }, + { + "epoch": 0.77, + "learning_rate": 1.3594457439375285e-06, + "loss": 0.6423, + "step": 26101 + }, + { + "epoch": 0.77, + "learning_rate": 1.3591196406267137e-06, + "loss": 0.7674, + "step": 26102 + }, + { + "epoch": 0.77, + "learning_rate": 1.3587935702812132e-06, + "loss": 0.7792, + "step": 26103 + }, + { + "epoch": 0.77, + "learning_rate": 1.3584675329039825e-06, + "loss": 0.3784, + "step": 26104 + }, + { + "epoch": 0.77, + "learning_rate": 1.3581415284979688e-06, + "loss": 0.4475, + "step": 26105 + }, + { + "epoch": 0.77, + "learning_rate": 1.3578155570661306e-06, + "loss": 0.6296, + "step": 26106 + }, + { + "epoch": 0.77, + "learning_rate": 1.3574896186114133e-06, + "loss": 0.4575, + "step": 26107 + }, + { + "epoch": 0.77, + "learning_rate": 1.3571637131367726e-06, + "loss": 0.5829, + "step": 26108 + }, + { + "epoch": 0.77, + "learning_rate": 1.3568378406451555e-06, + "loss": 0.6963, + "step": 26109 + }, + { + "epoch": 0.77, + "learning_rate": 1.3565120011395155e-06, + "loss": 0.6266, + "step": 26110 + }, + { + "epoch": 0.77, + "learning_rate": 1.3561861946228006e-06, + "loss": 0.694, + "step": 26111 + }, + { + "epoch": 0.77, + "learning_rate": 1.3558604210979627e-06, + "loss": 0.447, + "step": 26112 + }, + { + "epoch": 0.77, + "learning_rate": 1.3555346805679498e-06, + "loss": 0.5863, + "step": 26113 + }, + { + "epoch": 0.77, + "learning_rate": 1.3552089730357092e-06, + "loss": 0.5501, + "step": 26114 + }, + { + "epoch": 0.77, + "learning_rate": 1.354883298504196e-06, + "loss": 0.7028, + "step": 26115 + }, + { + "epoch": 0.77, + "learning_rate": 1.3545576569763535e-06, + "loss": 0.6287, + "step": 26116 + }, + { + "epoch": 0.77, + "learning_rate": 1.3542320484551336e-06, + "loss": 0.7747, + "step": 26117 + }, + { + "epoch": 0.77, + "learning_rate": 1.3539064729434808e-06, + "loss": 0.7178, + "step": 26118 + }, + { + "epoch": 0.77, + "learning_rate": 1.3535809304443477e-06, + "loss": 0.7524, + "step": 26119 + }, + { + "epoch": 0.77, + "learning_rate": 1.353255420960677e-06, + "loss": 0.6626, + "step": 26120 + }, + { + "epoch": 0.77, + "learning_rate": 1.3529299444954192e-06, + "loss": 0.6309, + "step": 26121 + }, + { + "epoch": 0.77, + "learning_rate": 1.3526045010515188e-06, + "loss": 0.4378, + "step": 26122 + }, + { + "epoch": 0.77, + "learning_rate": 1.3522790906319255e-06, + "loss": 0.6545, + "step": 26123 + }, + { + "epoch": 0.77, + "learning_rate": 1.351953713239581e-06, + "loss": 0.7544, + "step": 26124 + }, + { + "epoch": 0.77, + "learning_rate": 1.3516283688774367e-06, + "loss": 0.8726, + "step": 26125 + }, + { + "epoch": 0.77, + "learning_rate": 1.3513030575484348e-06, + "loss": 0.7662, + "step": 26126 + }, + { + "epoch": 0.77, + "learning_rate": 1.3509777792555234e-06, + "loss": 0.6505, + "step": 26127 + }, + { + "epoch": 0.77, + "learning_rate": 1.3506525340016441e-06, + "loss": 0.8206, + "step": 26128 + }, + { + "epoch": 0.77, + "learning_rate": 1.3503273217897455e-06, + "loss": 0.7219, + "step": 26129 + }, + { + "epoch": 0.77, + "learning_rate": 1.3500021426227688e-06, + "loss": 0.6568, + "step": 26130 + }, + { + "epoch": 0.77, + "learning_rate": 1.349676996503661e-06, + "loss": 0.5318, + "step": 26131 + }, + { + "epoch": 0.77, + "learning_rate": 1.3493518834353637e-06, + "loss": 0.9536, + "step": 26132 + }, + { + "epoch": 0.77, + "learning_rate": 1.3490268034208225e-06, + "loss": 0.8502, + "step": 26133 + }, + { + "epoch": 0.77, + "learning_rate": 1.348701756462979e-06, + "loss": 0.7975, + "step": 26134 + }, + { + "epoch": 0.77, + "learning_rate": 1.348376742564777e-06, + "loss": 0.4362, + "step": 26135 + }, + { + "epoch": 0.77, + "learning_rate": 1.3480517617291606e-06, + "loss": 0.8612, + "step": 26136 + }, + { + "epoch": 0.77, + "learning_rate": 1.34772681395907e-06, + "loss": 0.978, + "step": 26137 + }, + { + "epoch": 0.77, + "learning_rate": 1.3474018992574495e-06, + "loss": 0.6716, + "step": 26138 + }, + { + "epoch": 0.77, + "learning_rate": 1.3470770176272384e-06, + "loss": 1.021, + "step": 26139 + }, + { + "epoch": 0.77, + "learning_rate": 1.3467521690713814e-06, + "loss": 0.8991, + "step": 26140 + }, + { + "epoch": 0.77, + "learning_rate": 1.3464273535928163e-06, + "loss": 0.8215, + "step": 26141 + }, + { + "epoch": 0.77, + "learning_rate": 1.3461025711944875e-06, + "loss": 0.6893, + "step": 26142 + }, + { + "epoch": 0.77, + "learning_rate": 1.3457778218793322e-06, + "loss": 0.5626, + "step": 26143 + }, + { + "epoch": 0.77, + "learning_rate": 1.3454531056502923e-06, + "loss": 1.0134, + "step": 26144 + }, + { + "epoch": 0.77, + "learning_rate": 1.3451284225103084e-06, + "loss": 0.5644, + "step": 26145 + }, + { + "epoch": 0.77, + "learning_rate": 1.344803772462321e-06, + "loss": 0.4562, + "step": 26146 + }, + { + "epoch": 0.77, + "learning_rate": 1.3444791555092674e-06, + "loss": 0.6699, + "step": 26147 + }, + { + "epoch": 0.77, + "learning_rate": 1.3441545716540888e-06, + "loss": 0.7154, + "step": 26148 + }, + { + "epoch": 0.77, + "learning_rate": 1.3438300208997218e-06, + "loss": 0.7703, + "step": 26149 + }, + { + "epoch": 0.77, + "learning_rate": 1.3435055032491074e-06, + "loss": 0.7793, + "step": 26150 + }, + { + "epoch": 0.77, + "learning_rate": 1.3431810187051813e-06, + "loss": 0.5858, + "step": 26151 + }, + { + "epoch": 0.77, + "learning_rate": 1.3428565672708843e-06, + "loss": 0.6329, + "step": 26152 + }, + { + "epoch": 0.77, + "learning_rate": 1.342532148949151e-06, + "loss": 0.6259, + "step": 26153 + }, + { + "epoch": 0.77, + "learning_rate": 1.3422077637429205e-06, + "loss": 0.8493, + "step": 26154 + }, + { + "epoch": 0.77, + "learning_rate": 1.341883411655131e-06, + "loss": 0.6267, + "step": 26155 + }, + { + "epoch": 0.77, + "learning_rate": 1.3415590926887162e-06, + "loss": 0.7274, + "step": 26156 + }, + { + "epoch": 0.77, + "learning_rate": 1.3412348068466164e-06, + "loss": 0.9812, + "step": 26157 + }, + { + "epoch": 0.77, + "learning_rate": 1.3409105541317635e-06, + "loss": 0.6382, + "step": 26158 + }, + { + "epoch": 0.77, + "learning_rate": 1.340586334547097e-06, + "loss": 0.9494, + "step": 26159 + }, + { + "epoch": 0.77, + "learning_rate": 1.3402621480955496e-06, + "loss": 0.4271, + "step": 26160 + }, + { + "epoch": 0.77, + "learning_rate": 1.3399379947800596e-06, + "loss": 1.0697, + "step": 26161 + }, + { + "epoch": 0.77, + "learning_rate": 1.339613874603558e-06, + "loss": 0.6505, + "step": 26162 + }, + { + "epoch": 0.77, + "learning_rate": 1.3392897875689837e-06, + "loss": 0.8246, + "step": 26163 + }, + { + "epoch": 0.77, + "learning_rate": 1.3389657336792661e-06, + "loss": 1.0336, + "step": 26164 + }, + { + "epoch": 0.77, + "learning_rate": 1.3386417129373452e-06, + "loss": 0.5883, + "step": 26165 + }, + { + "epoch": 0.77, + "learning_rate": 1.33831772534615e-06, + "loss": 0.7276, + "step": 26166 + }, + { + "epoch": 0.77, + "learning_rate": 1.3379937709086171e-06, + "loss": 0.7316, + "step": 26167 + }, + { + "epoch": 0.77, + "learning_rate": 1.337669849627677e-06, + "loss": 0.8934, + "step": 26168 + }, + { + "epoch": 0.77, + "learning_rate": 1.337345961506265e-06, + "loss": 0.7367, + "step": 26169 + }, + { + "epoch": 0.77, + "learning_rate": 1.3370221065473116e-06, + "loss": 0.7929, + "step": 26170 + }, + { + "epoch": 0.77, + "learning_rate": 1.3366982847537507e-06, + "loss": 0.5335, + "step": 26171 + }, + { + "epoch": 0.77, + "learning_rate": 1.3363744961285125e-06, + "loss": 0.6775, + "step": 26172 + }, + { + "epoch": 0.77, + "learning_rate": 1.3360507406745305e-06, + "loss": 0.8835, + "step": 26173 + }, + { + "epoch": 0.77, + "learning_rate": 1.335727018394734e-06, + "loss": 0.6535, + "step": 26174 + }, + { + "epoch": 0.77, + "learning_rate": 1.3354033292920553e-06, + "loss": 0.8192, + "step": 26175 + }, + { + "epoch": 0.77, + "learning_rate": 1.3350796733694266e-06, + "loss": 0.7956, + "step": 26176 + }, + { + "epoch": 0.77, + "learning_rate": 1.3347560506297753e-06, + "loss": 0.5994, + "step": 26177 + }, + { + "epoch": 0.77, + "learning_rate": 1.3344324610760345e-06, + "loss": 0.6872, + "step": 26178 + }, + { + "epoch": 0.77, + "learning_rate": 1.3341089047111311e-06, + "loss": 0.707, + "step": 26179 + }, + { + "epoch": 0.77, + "learning_rate": 1.3337853815379975e-06, + "loss": 0.6586, + "step": 26180 + }, + { + "epoch": 0.77, + "learning_rate": 1.3334618915595605e-06, + "loss": 0.8024, + "step": 26181 + }, + { + "epoch": 0.77, + "learning_rate": 1.3331384347787514e-06, + "loss": 0.6395, + "step": 26182 + }, + { + "epoch": 0.77, + "learning_rate": 1.3328150111984944e-06, + "loss": 0.8478, + "step": 26183 + }, + { + "epoch": 0.77, + "learning_rate": 1.3324916208217243e-06, + "loss": 0.7011, + "step": 26184 + }, + { + "epoch": 0.77, + "learning_rate": 1.3321682636513644e-06, + "loss": 0.8477, + "step": 26185 + }, + { + "epoch": 0.77, + "learning_rate": 1.3318449396903454e-06, + "loss": 0.6176, + "step": 26186 + }, + { + "epoch": 0.77, + "learning_rate": 1.3315216489415917e-06, + "loss": 0.8277, + "step": 26187 + }, + { + "epoch": 0.77, + "learning_rate": 1.3311983914080334e-06, + "loss": 0.7813, + "step": 26188 + }, + { + "epoch": 0.77, + "learning_rate": 1.3308751670925952e-06, + "loss": 0.8846, + "step": 26189 + }, + { + "epoch": 0.77, + "learning_rate": 1.330551975998205e-06, + "loss": 0.5485, + "step": 26190 + }, + { + "epoch": 0.77, + "learning_rate": 1.3302288181277878e-06, + "loss": 0.7081, + "step": 26191 + }, + { + "epoch": 0.77, + "learning_rate": 1.3299056934842714e-06, + "loss": 0.7814, + "step": 26192 + }, + { + "epoch": 0.77, + "learning_rate": 1.3295826020705781e-06, + "loss": 0.6429, + "step": 26193 + }, + { + "epoch": 0.77, + "learning_rate": 1.329259543889636e-06, + "loss": 0.5556, + "step": 26194 + }, + { + "epoch": 0.77, + "learning_rate": 1.328936518944371e-06, + "loss": 0.7689, + "step": 26195 + }, + { + "epoch": 0.77, + "learning_rate": 1.3286135272377049e-06, + "loss": 0.3947, + "step": 26196 + }, + { + "epoch": 0.77, + "learning_rate": 1.328290568772565e-06, + "loss": 0.6382, + "step": 26197 + }, + { + "epoch": 0.77, + "learning_rate": 1.3279676435518723e-06, + "loss": 0.6894, + "step": 26198 + }, + { + "epoch": 0.77, + "learning_rate": 1.3276447515785544e-06, + "loss": 0.7298, + "step": 26199 + }, + { + "epoch": 0.77, + "learning_rate": 1.327321892855531e-06, + "loss": 0.7214, + "step": 26200 + }, + { + "epoch": 0.77, + "learning_rate": 1.3269990673857285e-06, + "loss": 0.7012, + "step": 26201 + }, + { + "epoch": 0.77, + "learning_rate": 1.3266762751720675e-06, + "loss": 0.63, + "step": 26202 + }, + { + "epoch": 0.77, + "learning_rate": 1.3263535162174707e-06, + "loss": 0.7707, + "step": 26203 + }, + { + "epoch": 0.77, + "learning_rate": 1.326030790524862e-06, + "loss": 0.7352, + "step": 26204 + }, + { + "epoch": 0.77, + "learning_rate": 1.3257080980971642e-06, + "loss": 0.8121, + "step": 26205 + }, + { + "epoch": 0.77, + "learning_rate": 1.3253854389372955e-06, + "loss": 0.9024, + "step": 26206 + }, + { + "epoch": 0.77, + "learning_rate": 1.325062813048182e-06, + "loss": 0.5302, + "step": 26207 + }, + { + "epoch": 0.77, + "learning_rate": 1.3247402204327398e-06, + "loss": 0.7881, + "step": 26208 + }, + { + "epoch": 0.77, + "learning_rate": 1.3244176610938936e-06, + "loss": 0.5462, + "step": 26209 + }, + { + "epoch": 0.77, + "learning_rate": 1.3240951350345615e-06, + "loss": 0.5667, + "step": 26210 + }, + { + "epoch": 0.77, + "learning_rate": 1.3237726422576657e-06, + "loss": 0.7296, + "step": 26211 + }, + { + "epoch": 0.77, + "learning_rate": 1.3234501827661244e-06, + "loss": 0.747, + "step": 26212 + }, + { + "epoch": 0.77, + "learning_rate": 1.3231277565628576e-06, + "loss": 0.7773, + "step": 26213 + }, + { + "epoch": 0.77, + "learning_rate": 1.322805363650786e-06, + "loss": 0.9478, + "step": 26214 + }, + { + "epoch": 0.77, + "learning_rate": 1.3224830040328264e-06, + "loss": 0.6354, + "step": 26215 + }, + { + "epoch": 0.77, + "learning_rate": 1.3221606777119e-06, + "loss": 0.7052, + "step": 26216 + }, + { + "epoch": 0.77, + "learning_rate": 1.3218383846909228e-06, + "loss": 0.7397, + "step": 26217 + }, + { + "epoch": 0.77, + "learning_rate": 1.3215161249728148e-06, + "loss": 0.6265, + "step": 26218 + }, + { + "epoch": 0.77, + "learning_rate": 1.3211938985604921e-06, + "loss": 0.7752, + "step": 26219 + }, + { + "epoch": 0.77, + "learning_rate": 1.3208717054568742e-06, + "loss": 0.7423, + "step": 26220 + }, + { + "epoch": 0.77, + "learning_rate": 1.320549545664876e-06, + "loss": 0.7024, + "step": 26221 + }, + { + "epoch": 0.77, + "learning_rate": 1.320227419187417e-06, + "loss": 0.635, + "step": 26222 + }, + { + "epoch": 0.77, + "learning_rate": 1.3199053260274097e-06, + "loss": 0.843, + "step": 26223 + }, + { + "epoch": 0.77, + "learning_rate": 1.3195832661877755e-06, + "loss": 0.6118, + "step": 26224 + }, + { + "epoch": 0.77, + "learning_rate": 1.3192612396714273e-06, + "loss": 0.6527, + "step": 26225 + }, + { + "epoch": 0.77, + "learning_rate": 1.318939246481283e-06, + "loss": 0.6121, + "step": 26226 + }, + { + "epoch": 0.77, + "learning_rate": 1.318617286620254e-06, + "loss": 0.5006, + "step": 26227 + }, + { + "epoch": 0.77, + "learning_rate": 1.3182953600912602e-06, + "loss": 0.7281, + "step": 26228 + }, + { + "epoch": 0.77, + "learning_rate": 1.3179734668972127e-06, + "loss": 0.8805, + "step": 26229 + }, + { + "epoch": 0.77, + "learning_rate": 1.3176516070410288e-06, + "loss": 0.9235, + "step": 26230 + }, + { + "epoch": 0.77, + "learning_rate": 1.3173297805256196e-06, + "loss": 0.8088, + "step": 26231 + }, + { + "epoch": 0.77, + "learning_rate": 1.3170079873539021e-06, + "loss": 0.9784, + "step": 26232 + }, + { + "epoch": 0.77, + "learning_rate": 1.3166862275287874e-06, + "loss": 1.1019, + "step": 26233 + }, + { + "epoch": 0.77, + "learning_rate": 1.3163645010531895e-06, + "loss": 0.8074, + "step": 26234 + }, + { + "epoch": 0.77, + "learning_rate": 1.316042807930023e-06, + "loss": 0.5984, + "step": 26235 + }, + { + "epoch": 0.77, + "learning_rate": 1.3157211481621984e-06, + "loss": 0.7195, + "step": 26236 + }, + { + "epoch": 0.77, + "learning_rate": 1.31539952175263e-06, + "loss": 0.6093, + "step": 26237 + }, + { + "epoch": 0.77, + "learning_rate": 1.3150779287042275e-06, + "loss": 0.7092, + "step": 26238 + }, + { + "epoch": 0.77, + "learning_rate": 1.3147563690199056e-06, + "loss": 0.8973, + "step": 26239 + }, + { + "epoch": 0.77, + "learning_rate": 1.3144348427025722e-06, + "loss": 0.5809, + "step": 26240 + }, + { + "epoch": 0.77, + "learning_rate": 1.3141133497551429e-06, + "loss": 0.5725, + "step": 26241 + }, + { + "epoch": 0.77, + "learning_rate": 1.3137918901805235e-06, + "loss": 0.6976, + "step": 26242 + }, + { + "epoch": 0.77, + "learning_rate": 1.313470463981628e-06, + "loss": 0.5983, + "step": 26243 + }, + { + "epoch": 0.77, + "learning_rate": 1.313149071161366e-06, + "loss": 0.9018, + "step": 26244 + }, + { + "epoch": 0.77, + "learning_rate": 1.3128277117226485e-06, + "loss": 0.751, + "step": 26245 + }, + { + "epoch": 0.77, + "learning_rate": 1.3125063856683824e-06, + "loss": 0.5761, + "step": 26246 + }, + { + "epoch": 0.77, + "learning_rate": 1.3121850930014801e-06, + "loss": 0.8425, + "step": 26247 + }, + { + "epoch": 0.77, + "learning_rate": 1.3118638337248475e-06, + "loss": 0.6443, + "step": 26248 + }, + { + "epoch": 0.77, + "learning_rate": 1.3115426078413967e-06, + "loss": 0.4747, + "step": 26249 + }, + { + "epoch": 0.77, + "learning_rate": 1.3112214153540332e-06, + "loss": 0.4536, + "step": 26250 + }, + { + "epoch": 0.77, + "learning_rate": 1.3109002562656675e-06, + "loss": 0.8492, + "step": 26251 + }, + { + "epoch": 0.77, + "learning_rate": 1.3105791305792055e-06, + "loss": 0.5812, + "step": 26252 + }, + { + "epoch": 0.77, + "learning_rate": 1.3102580382975549e-06, + "loss": 0.6288, + "step": 26253 + }, + { + "epoch": 0.77, + "learning_rate": 1.309936979423626e-06, + "loss": 0.8134, + "step": 26254 + }, + { + "epoch": 0.77, + "learning_rate": 1.3096159539603216e-06, + "loss": 0.6766, + "step": 26255 + }, + { + "epoch": 0.77, + "learning_rate": 1.309294961910551e-06, + "loss": 0.6896, + "step": 26256 + }, + { + "epoch": 0.77, + "learning_rate": 1.3089740032772185e-06, + "loss": 0.832, + "step": 26257 + }, + { + "epoch": 0.77, + "learning_rate": 1.3086530780632328e-06, + "loss": 0.8703, + "step": 26258 + }, + { + "epoch": 0.77, + "learning_rate": 1.308332186271497e-06, + "loss": 0.447, + "step": 26259 + }, + { + "epoch": 0.77, + "learning_rate": 1.3080113279049189e-06, + "loss": 0.9589, + "step": 26260 + }, + { + "epoch": 0.77, + "learning_rate": 1.3076905029664005e-06, + "loss": 0.5675, + "step": 26261 + }, + { + "epoch": 0.77, + "learning_rate": 1.3073697114588484e-06, + "loss": 0.7143, + "step": 26262 + }, + { + "epoch": 0.77, + "learning_rate": 1.3070489533851676e-06, + "loss": 0.8037, + "step": 26263 + }, + { + "epoch": 0.77, + "learning_rate": 1.3067282287482636e-06, + "loss": 0.8828, + "step": 26264 + }, + { + "epoch": 0.77, + "learning_rate": 1.3064075375510365e-06, + "loss": 0.5638, + "step": 26265 + }, + { + "epoch": 0.77, + "learning_rate": 1.3060868797963937e-06, + "loss": 0.6533, + "step": 26266 + }, + { + "epoch": 0.77, + "learning_rate": 1.3057662554872357e-06, + "loss": 0.7632, + "step": 26267 + }, + { + "epoch": 0.77, + "learning_rate": 1.305445664626468e-06, + "loss": 0.7362, + "step": 26268 + }, + { + "epoch": 0.77, + "learning_rate": 1.30512510721699e-06, + "loss": 0.7805, + "step": 26269 + }, + { + "epoch": 0.77, + "learning_rate": 1.304804583261708e-06, + "loss": 0.5915, + "step": 26270 + }, + { + "epoch": 0.77, + "learning_rate": 1.3044840927635204e-06, + "loss": 0.8072, + "step": 26271 + }, + { + "epoch": 0.77, + "learning_rate": 1.3041636357253307e-06, + "loss": 0.694, + "step": 26272 + }, + { + "epoch": 0.77, + "learning_rate": 1.303843212150042e-06, + "loss": 0.6681, + "step": 26273 + }, + { + "epoch": 0.77, + "learning_rate": 1.3035228220405522e-06, + "loss": 0.5222, + "step": 26274 + }, + { + "epoch": 0.77, + "learning_rate": 1.3032024653997655e-06, + "loss": 0.6289, + "step": 26275 + }, + { + "epoch": 0.77, + "learning_rate": 1.3028821422305794e-06, + "loss": 0.6514, + "step": 26276 + }, + { + "epoch": 0.77, + "learning_rate": 1.302561852535897e-06, + "loss": 0.5071, + "step": 26277 + }, + { + "epoch": 0.77, + "learning_rate": 1.3022415963186152e-06, + "loss": 0.5513, + "step": 26278 + }, + { + "epoch": 0.77, + "learning_rate": 1.3019213735816367e-06, + "loss": 0.8029, + "step": 26279 + }, + { + "epoch": 0.77, + "learning_rate": 1.301601184327858e-06, + "loss": 0.6341, + "step": 26280 + }, + { + "epoch": 0.77, + "learning_rate": 1.3012810285601818e-06, + "loss": 0.5383, + "step": 26281 + }, + { + "epoch": 0.77, + "learning_rate": 1.3009609062815014e-06, + "loss": 0.9439, + "step": 26282 + }, + { + "epoch": 0.77, + "learning_rate": 1.3006408174947217e-06, + "loss": 0.632, + "step": 26283 + }, + { + "epoch": 0.77, + "learning_rate": 1.3003207622027359e-06, + "loss": 0.7382, + "step": 26284 + }, + { + "epoch": 0.77, + "learning_rate": 1.3000007404084452e-06, + "loss": 0.8166, + "step": 26285 + }, + { + "epoch": 0.77, + "learning_rate": 1.2996807521147447e-06, + "loss": 0.8084, + "step": 26286 + }, + { + "epoch": 0.77, + "learning_rate": 1.2993607973245337e-06, + "loss": 0.7471, + "step": 26287 + }, + { + "epoch": 0.77, + "learning_rate": 1.2990408760407063e-06, + "loss": 0.6913, + "step": 26288 + }, + { + "epoch": 0.77, + "learning_rate": 1.2987209882661628e-06, + "loss": 0.7628, + "step": 26289 + }, + { + "epoch": 0.77, + "learning_rate": 1.2984011340037956e-06, + "loss": 0.6515, + "step": 26290 + }, + { + "epoch": 0.77, + "learning_rate": 1.2980813132565046e-06, + "loss": 0.5907, + "step": 26291 + }, + { + "epoch": 0.77, + "learning_rate": 1.297761526027182e-06, + "loss": 0.7086, + "step": 26292 + }, + { + "epoch": 0.77, + "learning_rate": 1.297441772318725e-06, + "loss": 0.8125, + "step": 26293 + }, + { + "epoch": 0.77, + "learning_rate": 1.29712205213403e-06, + "loss": 0.669, + "step": 26294 + }, + { + "epoch": 0.77, + "learning_rate": 1.2968023654759887e-06, + "loss": 0.7832, + "step": 26295 + }, + { + "epoch": 0.77, + "learning_rate": 1.2964827123474993e-06, + "loss": 0.6695, + "step": 26296 + }, + { + "epoch": 0.77, + "learning_rate": 1.2961630927514524e-06, + "loss": 0.7067, + "step": 26297 + }, + { + "epoch": 0.77, + "learning_rate": 1.2958435066907444e-06, + "loss": 0.9201, + "step": 26298 + }, + { + "epoch": 0.77, + "learning_rate": 1.2955239541682673e-06, + "loss": 0.5732, + "step": 26299 + }, + { + "epoch": 0.77, + "learning_rate": 1.2952044351869165e-06, + "loss": 0.6485, + "step": 26300 + }, + { + "epoch": 0.77, + "learning_rate": 1.2948849497495814e-06, + "loss": 0.7883, + "step": 26301 + }, + { + "epoch": 0.77, + "learning_rate": 1.2945654978591575e-06, + "loss": 0.5327, + "step": 26302 + }, + { + "epoch": 0.77, + "learning_rate": 1.2942460795185368e-06, + "loss": 0.7419, + "step": 26303 + }, + { + "epoch": 0.77, + "learning_rate": 1.2939266947306124e-06, + "loss": 0.8799, + "step": 26304 + }, + { + "epoch": 0.77, + "learning_rate": 1.2936073434982731e-06, + "loss": 0.6845, + "step": 26305 + }, + { + "epoch": 0.77, + "learning_rate": 1.293288025824414e-06, + "loss": 0.7386, + "step": 26306 + }, + { + "epoch": 0.77, + "learning_rate": 1.292968741711923e-06, + "loss": 0.5616, + "step": 26307 + }, + { + "epoch": 0.77, + "learning_rate": 1.2926494911636933e-06, + "loss": 0.8982, + "step": 26308 + }, + { + "epoch": 0.77, + "learning_rate": 1.2923302741826138e-06, + "loss": 0.6507, + "step": 26309 + }, + { + "epoch": 0.77, + "learning_rate": 1.2920110907715766e-06, + "loss": 0.9607, + "step": 26310 + }, + { + "epoch": 0.77, + "learning_rate": 1.2916919409334689e-06, + "loss": 0.9301, + "step": 26311 + }, + { + "epoch": 0.77, + "learning_rate": 1.291372824671182e-06, + "loss": 0.8768, + "step": 26312 + }, + { + "epoch": 0.77, + "learning_rate": 1.2910537419876068e-06, + "loss": 0.752, + "step": 26313 + }, + { + "epoch": 0.77, + "learning_rate": 1.2907346928856295e-06, + "loss": 0.8606, + "step": 26314 + }, + { + "epoch": 0.77, + "learning_rate": 1.2904156773681415e-06, + "loss": 0.9266, + "step": 26315 + }, + { + "epoch": 0.77, + "learning_rate": 1.2900966954380284e-06, + "loss": 0.7662, + "step": 26316 + }, + { + "epoch": 0.77, + "learning_rate": 1.2897777470981815e-06, + "loss": 0.7877, + "step": 26317 + }, + { + "epoch": 0.77, + "learning_rate": 1.289458832351485e-06, + "loss": 0.8151, + "step": 26318 + }, + { + "epoch": 0.77, + "learning_rate": 1.28913995120083e-06, + "loss": 0.6462, + "step": 26319 + }, + { + "epoch": 0.77, + "learning_rate": 1.2888211036491005e-06, + "loss": 1.0192, + "step": 26320 + }, + { + "epoch": 0.77, + "learning_rate": 1.2885022896991856e-06, + "loss": 0.4587, + "step": 26321 + }, + { + "epoch": 0.77, + "learning_rate": 1.2881835093539708e-06, + "loss": 0.6241, + "step": 26322 + }, + { + "epoch": 0.77, + "learning_rate": 1.2878647626163442e-06, + "loss": 0.7338, + "step": 26323 + }, + { + "epoch": 0.77, + "learning_rate": 1.2875460494891889e-06, + "loss": 0.6846, + "step": 26324 + }, + { + "epoch": 0.77, + "learning_rate": 1.287227369975394e-06, + "loss": 0.6856, + "step": 26325 + }, + { + "epoch": 0.77, + "learning_rate": 1.2869087240778417e-06, + "loss": 0.7132, + "step": 26326 + }, + { + "epoch": 0.77, + "learning_rate": 1.28659011179942e-06, + "loss": 0.7111, + "step": 26327 + }, + { + "epoch": 0.77, + "learning_rate": 1.2862715331430103e-06, + "loss": 0.6087, + "step": 26328 + }, + { + "epoch": 0.77, + "learning_rate": 1.2859529881115006e-06, + "loss": 0.4747, + "step": 26329 + }, + { + "epoch": 0.77, + "learning_rate": 1.2856344767077722e-06, + "loss": 0.6102, + "step": 26330 + }, + { + "epoch": 0.77, + "learning_rate": 1.2853159989347098e-06, + "loss": 0.6914, + "step": 26331 + }, + { + "epoch": 0.77, + "learning_rate": 1.2849975547951988e-06, + "loss": 0.9205, + "step": 26332 + }, + { + "epoch": 0.77, + "learning_rate": 1.2846791442921198e-06, + "loss": 0.6155, + "step": 26333 + }, + { + "epoch": 0.77, + "learning_rate": 1.2843607674283581e-06, + "loss": 0.7552, + "step": 26334 + }, + { + "epoch": 0.77, + "learning_rate": 1.2840424242067945e-06, + "loss": 0.75, + "step": 26335 + }, + { + "epoch": 0.77, + "learning_rate": 1.2837241146303131e-06, + "loss": 0.5102, + "step": 26336 + }, + { + "epoch": 0.77, + "learning_rate": 1.2834058387017933e-06, + "loss": 0.531, + "step": 26337 + }, + { + "epoch": 0.77, + "learning_rate": 1.2830875964241201e-06, + "loss": 0.5597, + "step": 26338 + }, + { + "epoch": 0.77, + "learning_rate": 1.2827693878001717e-06, + "loss": 1.2858, + "step": 26339 + }, + { + "epoch": 0.77, + "learning_rate": 1.282451212832832e-06, + "loss": 0.5044, + "step": 26340 + }, + { + "epoch": 0.77, + "learning_rate": 1.282133071524978e-06, + "loss": 0.6693, + "step": 26341 + }, + { + "epoch": 0.77, + "learning_rate": 1.2818149638794962e-06, + "loss": 0.7086, + "step": 26342 + }, + { + "epoch": 0.77, + "learning_rate": 1.2814968898992614e-06, + "loss": 0.9014, + "step": 26343 + }, + { + "epoch": 0.77, + "learning_rate": 1.2811788495871575e-06, + "loss": 0.5676, + "step": 26344 + }, + { + "epoch": 0.77, + "learning_rate": 1.2808608429460606e-06, + "loss": 0.6851, + "step": 26345 + }, + { + "epoch": 0.77, + "learning_rate": 1.2805428699788531e-06, + "loss": 0.652, + "step": 26346 + }, + { + "epoch": 0.77, + "learning_rate": 1.2802249306884106e-06, + "loss": 0.7384, + "step": 26347 + }, + { + "epoch": 0.77, + "learning_rate": 1.2799070250776157e-06, + "loss": 0.9375, + "step": 26348 + }, + { + "epoch": 0.77, + "learning_rate": 1.2795891531493433e-06, + "loss": 0.5403, + "step": 26349 + }, + { + "epoch": 0.77, + "learning_rate": 1.279271314906474e-06, + "loss": 0.7925, + "step": 26350 + }, + { + "epoch": 0.77, + "learning_rate": 1.278953510351883e-06, + "loss": 0.5805, + "step": 26351 + }, + { + "epoch": 0.77, + "learning_rate": 1.2786357394884497e-06, + "loss": 0.6097, + "step": 26352 + }, + { + "epoch": 0.77, + "learning_rate": 1.2783180023190523e-06, + "loss": 0.545, + "step": 26353 + }, + { + "epoch": 0.77, + "learning_rate": 1.2780002988465644e-06, + "loss": 0.5866, + "step": 26354 + }, + { + "epoch": 0.77, + "learning_rate": 1.2776826290738664e-06, + "loss": 0.7852, + "step": 26355 + }, + { + "epoch": 0.77, + "learning_rate": 1.2773649930038307e-06, + "loss": 0.7819, + "step": 26356 + }, + { + "epoch": 0.77, + "learning_rate": 1.2770473906393366e-06, + "loss": 0.7555, + "step": 26357 + }, + { + "epoch": 0.77, + "learning_rate": 1.2767298219832564e-06, + "loss": 0.6787, + "step": 26358 + }, + { + "epoch": 0.77, + "learning_rate": 1.2764122870384692e-06, + "loss": 0.7372, + "step": 26359 + }, + { + "epoch": 0.77, + "learning_rate": 1.2760947858078464e-06, + "loss": 0.6951, + "step": 26360 + }, + { + "epoch": 0.77, + "learning_rate": 1.2757773182942646e-06, + "loss": 0.5483, + "step": 26361 + }, + { + "epoch": 0.77, + "learning_rate": 1.2754598845005978e-06, + "loss": 0.5113, + "step": 26362 + }, + { + "epoch": 0.77, + "learning_rate": 1.2751424844297223e-06, + "loss": 0.6465, + "step": 26363 + }, + { + "epoch": 0.77, + "learning_rate": 1.2748251180845077e-06, + "loss": 0.5721, + "step": 26364 + }, + { + "epoch": 0.77, + "learning_rate": 1.2745077854678318e-06, + "loss": 0.7365, + "step": 26365 + }, + { + "epoch": 0.77, + "learning_rate": 1.2741904865825639e-06, + "loss": 0.7168, + "step": 26366 + }, + { + "epoch": 0.77, + "learning_rate": 1.2738732214315802e-06, + "loss": 0.5819, + "step": 26367 + }, + { + "epoch": 0.77, + "learning_rate": 1.2735559900177508e-06, + "loss": 0.7027, + "step": 26368 + }, + { + "epoch": 0.77, + "learning_rate": 1.2732387923439505e-06, + "loss": 0.743, + "step": 26369 + }, + { + "epoch": 0.77, + "learning_rate": 1.272921628413048e-06, + "loss": 0.845, + "step": 26370 + }, + { + "epoch": 0.77, + "learning_rate": 1.2726044982279168e-06, + "loss": 0.8572, + "step": 26371 + }, + { + "epoch": 0.77, + "learning_rate": 1.2722874017914295e-06, + "loss": 0.6687, + "step": 26372 + }, + { + "epoch": 0.77, + "learning_rate": 1.2719703391064548e-06, + "loss": 1.029, + "step": 26373 + }, + { + "epoch": 0.77, + "learning_rate": 1.2716533101758655e-06, + "loss": 0.5443, + "step": 26374 + }, + { + "epoch": 0.77, + "learning_rate": 1.2713363150025298e-06, + "loss": 0.5161, + "step": 26375 + }, + { + "epoch": 0.77, + "learning_rate": 1.2710193535893213e-06, + "loss": 0.6584, + "step": 26376 + }, + { + "epoch": 0.77, + "learning_rate": 1.2707024259391054e-06, + "loss": 0.636, + "step": 26377 + }, + { + "epoch": 0.77, + "learning_rate": 1.2703855320547554e-06, + "loss": 0.884, + "step": 26378 + }, + { + "epoch": 0.77, + "learning_rate": 1.2700686719391381e-06, + "loss": 0.7994, + "step": 26379 + }, + { + "epoch": 0.78, + "learning_rate": 1.2697518455951224e-06, + "loss": 0.5996, + "step": 26380 + }, + { + "epoch": 0.78, + "learning_rate": 1.269435053025579e-06, + "loss": 0.5791, + "step": 26381 + }, + { + "epoch": 0.78, + "learning_rate": 1.2691182942333757e-06, + "loss": 0.6187, + "step": 26382 + }, + { + "epoch": 0.78, + "learning_rate": 1.2688015692213785e-06, + "loss": 0.6471, + "step": 26383 + }, + { + "epoch": 0.78, + "learning_rate": 1.268484877992458e-06, + "loss": 0.639, + "step": 26384 + }, + { + "epoch": 0.78, + "learning_rate": 1.2681682205494789e-06, + "loss": 0.6677, + "step": 26385 + }, + { + "epoch": 0.78, + "learning_rate": 1.2678515968953104e-06, + "loss": 0.5553, + "step": 26386 + }, + { + "epoch": 0.78, + "learning_rate": 1.2675350070328174e-06, + "loss": 0.874, + "step": 26387 + }, + { + "epoch": 0.78, + "learning_rate": 1.2672184509648683e-06, + "loss": 0.7204, + "step": 26388 + }, + { + "epoch": 0.78, + "learning_rate": 1.2669019286943268e-06, + "loss": 0.5946, + "step": 26389 + }, + { + "epoch": 0.78, + "learning_rate": 1.2665854402240607e-06, + "loss": 0.7019, + "step": 26390 + }, + { + "epoch": 0.78, + "learning_rate": 1.266268985556936e-06, + "loss": 0.7185, + "step": 26391 + }, + { + "epoch": 0.78, + "learning_rate": 1.2659525646958159e-06, + "loss": 0.6355, + "step": 26392 + }, + { + "epoch": 0.78, + "learning_rate": 1.2656361776435676e-06, + "loss": 0.6547, + "step": 26393 + }, + { + "epoch": 0.78, + "learning_rate": 1.2653198244030535e-06, + "loss": 0.881, + "step": 26394 + }, + { + "epoch": 0.78, + "learning_rate": 1.2650035049771403e-06, + "loss": 0.7549, + "step": 26395 + }, + { + "epoch": 0.78, + "learning_rate": 1.2646872193686894e-06, + "loss": 0.636, + "step": 26396 + }, + { + "epoch": 0.78, + "learning_rate": 1.2643709675805671e-06, + "loss": 0.7957, + "step": 26397 + }, + { + "epoch": 0.78, + "learning_rate": 1.264054749615634e-06, + "loss": 0.9519, + "step": 26398 + }, + { + "epoch": 0.78, + "learning_rate": 1.263738565476757e-06, + "loss": 0.7091, + "step": 26399 + }, + { + "epoch": 0.78, + "learning_rate": 1.2634224151667928e-06, + "loss": 0.7307, + "step": 26400 + }, + { + "epoch": 0.78, + "learning_rate": 1.2631062986886117e-06, + "loss": 0.7518, + "step": 26401 + }, + { + "epoch": 0.78, + "learning_rate": 1.26279021604507e-06, + "loss": 0.734, + "step": 26402 + }, + { + "epoch": 0.78, + "learning_rate": 1.2624741672390329e-06, + "loss": 0.7096, + "step": 26403 + }, + { + "epoch": 0.78, + "learning_rate": 1.262158152273359e-06, + "loss": 0.7564, + "step": 26404 + }, + { + "epoch": 0.78, + "learning_rate": 1.2618421711509132e-06, + "loss": 1.032, + "step": 26405 + }, + { + "epoch": 0.78, + "learning_rate": 1.2615262238745525e-06, + "loss": 0.6281, + "step": 26406 + }, + { + "epoch": 0.78, + "learning_rate": 1.2612103104471413e-06, + "loss": 0.7296, + "step": 26407 + }, + { + "epoch": 0.78, + "learning_rate": 1.2608944308715365e-06, + "loss": 0.6858, + "step": 26408 + }, + { + "epoch": 0.78, + "learning_rate": 1.2605785851506014e-06, + "loss": 0.7712, + "step": 26409 + }, + { + "epoch": 0.78, + "learning_rate": 1.2602627732871907e-06, + "loss": 0.7374, + "step": 26410 + }, + { + "epoch": 0.78, + "learning_rate": 1.2599469952841708e-06, + "loss": 0.4293, + "step": 26411 + }, + { + "epoch": 0.78, + "learning_rate": 1.259631251144396e-06, + "loss": 0.8709, + "step": 26412 + }, + { + "epoch": 0.78, + "learning_rate": 1.2593155408707274e-06, + "loss": 0.6534, + "step": 26413 + }, + { + "epoch": 0.78, + "learning_rate": 1.2589998644660224e-06, + "loss": 0.5634, + "step": 26414 + }, + { + "epoch": 0.78, + "learning_rate": 1.258684221933138e-06, + "loss": 0.6449, + "step": 26415 + }, + { + "epoch": 0.78, + "learning_rate": 1.258368613274935e-06, + "loss": 0.6528, + "step": 26416 + }, + { + "epoch": 0.78, + "learning_rate": 1.258053038494268e-06, + "loss": 0.6962, + "step": 26417 + }, + { + "epoch": 0.78, + "learning_rate": 1.2577374975939971e-06, + "loss": 0.6139, + "step": 26418 + }, + { + "epoch": 0.78, + "learning_rate": 1.2574219905769764e-06, + "loss": 0.5863, + "step": 26419 + }, + { + "epoch": 0.78, + "learning_rate": 1.2571065174460635e-06, + "loss": 0.7017, + "step": 26420 + }, + { + "epoch": 0.78, + "learning_rate": 1.256791078204116e-06, + "loss": 0.5802, + "step": 26421 + }, + { + "epoch": 0.78, + "learning_rate": 1.25647567285399e-06, + "loss": 0.5928, + "step": 26422 + }, + { + "epoch": 0.78, + "learning_rate": 1.2561603013985396e-06, + "loss": 0.6747, + "step": 26423 + }, + { + "epoch": 0.78, + "learning_rate": 1.2558449638406222e-06, + "loss": 0.6861, + "step": 26424 + }, + { + "epoch": 0.78, + "learning_rate": 1.2555296601830907e-06, + "loss": 0.8999, + "step": 26425 + }, + { + "epoch": 0.78, + "learning_rate": 1.2552143904288021e-06, + "loss": 0.3353, + "step": 26426 + }, + { + "epoch": 0.78, + "learning_rate": 1.2548991545806095e-06, + "loss": 0.6608, + "step": 26427 + }, + { + "epoch": 0.78, + "learning_rate": 1.2545839526413679e-06, + "loss": 0.8332, + "step": 26428 + }, + { + "epoch": 0.78, + "learning_rate": 1.2542687846139295e-06, + "loss": 0.7493, + "step": 26429 + }, + { + "epoch": 0.78, + "learning_rate": 1.2539536505011496e-06, + "loss": 0.5634, + "step": 26430 + }, + { + "epoch": 0.78, + "learning_rate": 1.2536385503058812e-06, + "loss": 0.6687, + "step": 26431 + }, + { + "epoch": 0.78, + "learning_rate": 1.2533234840309783e-06, + "loss": 0.6664, + "step": 26432 + }, + { + "epoch": 0.78, + "learning_rate": 1.2530084516792912e-06, + "loss": 0.6174, + "step": 26433 + }, + { + "epoch": 0.78, + "learning_rate": 1.2526934532536749e-06, + "loss": 0.8128, + "step": 26434 + }, + { + "epoch": 0.78, + "learning_rate": 1.252378488756979e-06, + "loss": 0.8174, + "step": 26435 + }, + { + "epoch": 0.78, + "learning_rate": 1.252063558192057e-06, + "loss": 0.7272, + "step": 26436 + }, + { + "epoch": 0.78, + "learning_rate": 1.251748661561759e-06, + "loss": 0.5351, + "step": 26437 + }, + { + "epoch": 0.78, + "learning_rate": 1.2514337988689385e-06, + "loss": 0.8244, + "step": 26438 + }, + { + "epoch": 0.78, + "learning_rate": 1.251118970116444e-06, + "loss": 0.5887, + "step": 26439 + }, + { + "epoch": 0.78, + "learning_rate": 1.2508041753071244e-06, + "loss": 0.9841, + "step": 26440 + }, + { + "epoch": 0.78, + "learning_rate": 1.2504894144438345e-06, + "loss": 0.7571, + "step": 26441 + }, + { + "epoch": 0.78, + "learning_rate": 1.2501746875294213e-06, + "loss": 0.5315, + "step": 26442 + }, + { + "epoch": 0.78, + "learning_rate": 1.2498599945667362e-06, + "loss": 0.8358, + "step": 26443 + }, + { + "epoch": 0.78, + "learning_rate": 1.2495453355586257e-06, + "loss": 0.7897, + "step": 26444 + }, + { + "epoch": 0.78, + "learning_rate": 1.249230710507942e-06, + "loss": 0.6915, + "step": 26445 + }, + { + "epoch": 0.78, + "learning_rate": 1.2489161194175309e-06, + "loss": 0.5692, + "step": 26446 + }, + { + "epoch": 0.78, + "learning_rate": 1.2486015622902436e-06, + "loss": 0.5205, + "step": 26447 + }, + { + "epoch": 0.78, + "learning_rate": 1.2482870391289248e-06, + "loss": 0.8516, + "step": 26448 + }, + { + "epoch": 0.78, + "learning_rate": 1.2479725499364248e-06, + "loss": 0.7129, + "step": 26449 + }, + { + "epoch": 0.78, + "learning_rate": 1.2476580947155897e-06, + "loss": 0.6793, + "step": 26450 + }, + { + "epoch": 0.78, + "learning_rate": 1.2473436734692696e-06, + "loss": 0.8633, + "step": 26451 + }, + { + "epoch": 0.78, + "learning_rate": 1.247029286200307e-06, + "loss": 0.5978, + "step": 26452 + }, + { + "epoch": 0.78, + "learning_rate": 1.2467149329115519e-06, + "loss": 0.7014, + "step": 26453 + }, + { + "epoch": 0.78, + "learning_rate": 1.2464006136058482e-06, + "loss": 0.5873, + "step": 26454 + }, + { + "epoch": 0.78, + "learning_rate": 1.2460863282860436e-06, + "loss": 0.9772, + "step": 26455 + }, + { + "epoch": 0.78, + "learning_rate": 1.245772076954982e-06, + "loss": 0.6741, + "step": 26456 + }, + { + "epoch": 0.78, + "learning_rate": 1.2454578596155104e-06, + "loss": 0.7562, + "step": 26457 + }, + { + "epoch": 0.78, + "learning_rate": 1.2451436762704722e-06, + "loss": 0.765, + "step": 26458 + }, + { + "epoch": 0.78, + "learning_rate": 1.2448295269227123e-06, + "loss": 0.7579, + "step": 26459 + }, + { + "epoch": 0.78, + "learning_rate": 1.244515411575077e-06, + "loss": 0.7365, + "step": 26460 + }, + { + "epoch": 0.78, + "learning_rate": 1.2442013302304078e-06, + "loss": 0.6899, + "step": 26461 + }, + { + "epoch": 0.78, + "learning_rate": 1.243887282891551e-06, + "loss": 0.8411, + "step": 26462 + }, + { + "epoch": 0.78, + "learning_rate": 1.2435732695613473e-06, + "loss": 0.7108, + "step": 26463 + }, + { + "epoch": 0.78, + "learning_rate": 1.243259290242642e-06, + "loss": 0.6729, + "step": 26464 + }, + { + "epoch": 0.78, + "learning_rate": 1.2429453449382768e-06, + "loss": 0.9758, + "step": 26465 + }, + { + "epoch": 0.78, + "learning_rate": 1.2426314336510953e-06, + "loss": 0.589, + "step": 26466 + }, + { + "epoch": 0.78, + "learning_rate": 1.242317556383938e-06, + "loss": 0.6291, + "step": 26467 + }, + { + "epoch": 0.78, + "learning_rate": 1.242003713139649e-06, + "loss": 0.5425, + "step": 26468 + }, + { + "epoch": 0.78, + "learning_rate": 1.2416899039210655e-06, + "loss": 0.7035, + "step": 26469 + }, + { + "epoch": 0.78, + "learning_rate": 1.2413761287310355e-06, + "loss": 0.8885, + "step": 26470 + }, + { + "epoch": 0.78, + "learning_rate": 1.241062387572395e-06, + "loss": 0.7717, + "step": 26471 + }, + { + "epoch": 0.78, + "learning_rate": 1.2407486804479873e-06, + "loss": 0.7471, + "step": 26472 + }, + { + "epoch": 0.78, + "learning_rate": 1.2404350073606508e-06, + "loss": 0.536, + "step": 26473 + }, + { + "epoch": 0.78, + "learning_rate": 1.2401213683132273e-06, + "loss": 0.9444, + "step": 26474 + }, + { + "epoch": 0.78, + "learning_rate": 1.2398077633085543e-06, + "loss": 0.6281, + "step": 26475 + }, + { + "epoch": 0.78, + "learning_rate": 1.2394941923494746e-06, + "loss": 0.7062, + "step": 26476 + }, + { + "epoch": 0.78, + "learning_rate": 1.2391806554388236e-06, + "loss": 0.6034, + "step": 26477 + }, + { + "epoch": 0.78, + "learning_rate": 1.2388671525794431e-06, + "loss": 0.785, + "step": 26478 + }, + { + "epoch": 0.78, + "learning_rate": 1.2385536837741692e-06, + "loss": 0.6132, + "step": 26479 + }, + { + "epoch": 0.78, + "learning_rate": 1.2382402490258411e-06, + "loss": 0.6779, + "step": 26480 + }, + { + "epoch": 0.78, + "learning_rate": 1.2379268483372985e-06, + "loss": 0.5266, + "step": 26481 + }, + { + "epoch": 0.78, + "learning_rate": 1.237613481711376e-06, + "loss": 0.7831, + "step": 26482 + }, + { + "epoch": 0.78, + "learning_rate": 1.237300149150914e-06, + "loss": 0.6311, + "step": 26483 + }, + { + "epoch": 0.78, + "learning_rate": 1.2369868506587463e-06, + "loss": 0.8251, + "step": 26484 + }, + { + "epoch": 0.78, + "learning_rate": 1.2366735862377127e-06, + "loss": 0.6329, + "step": 26485 + }, + { + "epoch": 0.78, + "learning_rate": 1.2363603558906463e-06, + "loss": 0.6474, + "step": 26486 + }, + { + "epoch": 0.78, + "learning_rate": 1.236047159620386e-06, + "loss": 0.6511, + "step": 26487 + }, + { + "epoch": 0.78, + "learning_rate": 1.2357339974297649e-06, + "loss": 0.8576, + "step": 26488 + }, + { + "epoch": 0.78, + "learning_rate": 1.2354208693216202e-06, + "loss": 0.759, + "step": 26489 + }, + { + "epoch": 0.78, + "learning_rate": 1.2351077752987866e-06, + "loss": 0.6226, + "step": 26490 + }, + { + "epoch": 0.78, + "learning_rate": 1.234794715364101e-06, + "loss": 0.6087, + "step": 26491 + }, + { + "epoch": 0.78, + "learning_rate": 1.2344816895203937e-06, + "loss": 0.6645, + "step": 26492 + }, + { + "epoch": 0.78, + "learning_rate": 1.2341686977705031e-06, + "loss": 0.8132, + "step": 26493 + }, + { + "epoch": 0.78, + "learning_rate": 1.2338557401172596e-06, + "loss": 0.6834, + "step": 26494 + }, + { + "epoch": 0.78, + "learning_rate": 1.2335428165634995e-06, + "loss": 0.6937, + "step": 26495 + }, + { + "epoch": 0.78, + "learning_rate": 1.2332299271120535e-06, + "loss": 0.8553, + "step": 26496 + }, + { + "epoch": 0.78, + "learning_rate": 1.2329170717657579e-06, + "loss": 0.5953, + "step": 26497 + }, + { + "epoch": 0.78, + "learning_rate": 1.2326042505274415e-06, + "loss": 0.6258, + "step": 26498 + }, + { + "epoch": 0.78, + "learning_rate": 1.232291463399939e-06, + "loss": 0.5627, + "step": 26499 + }, + { + "epoch": 0.78, + "learning_rate": 1.231978710386083e-06, + "loss": 0.7719, + "step": 26500 + }, + { + "epoch": 0.78, + "learning_rate": 1.231665991488703e-06, + "loss": 0.6291, + "step": 26501 + }, + { + "epoch": 0.78, + "learning_rate": 1.2313533067106331e-06, + "loss": 0.6112, + "step": 26502 + }, + { + "epoch": 0.78, + "learning_rate": 1.2310406560547016e-06, + "loss": 0.6966, + "step": 26503 + }, + { + "epoch": 0.78, + "learning_rate": 1.2307280395237426e-06, + "loss": 0.6488, + "step": 26504 + }, + { + "epoch": 0.78, + "learning_rate": 1.230415457120583e-06, + "loss": 0.6207, + "step": 26505 + }, + { + "epoch": 0.78, + "learning_rate": 1.2301029088480554e-06, + "loss": 0.5778, + "step": 26506 + }, + { + "epoch": 0.78, + "learning_rate": 1.2297903947089883e-06, + "loss": 0.5211, + "step": 26507 + }, + { + "epoch": 0.78, + "learning_rate": 1.229477914706212e-06, + "loss": 0.7141, + "step": 26508 + }, + { + "epoch": 0.78, + "learning_rate": 1.2291654688425552e-06, + "loss": 0.4895, + "step": 26509 + }, + { + "epoch": 0.78, + "learning_rate": 1.228853057120849e-06, + "loss": 0.515, + "step": 26510 + }, + { + "epoch": 0.78, + "learning_rate": 1.2285406795439193e-06, + "loss": 0.7786, + "step": 26511 + }, + { + "epoch": 0.78, + "learning_rate": 1.2282283361145968e-06, + "loss": 0.7399, + "step": 26512 + }, + { + "epoch": 0.78, + "learning_rate": 1.2279160268357065e-06, + "loss": 0.6784, + "step": 26513 + }, + { + "epoch": 0.78, + "learning_rate": 1.2276037517100796e-06, + "loss": 0.8193, + "step": 26514 + }, + { + "epoch": 0.78, + "learning_rate": 1.2272915107405404e-06, + "loss": 0.5088, + "step": 26515 + }, + { + "epoch": 0.78, + "learning_rate": 1.2269793039299188e-06, + "loss": 0.7689, + "step": 26516 + }, + { + "epoch": 0.78, + "learning_rate": 1.2266671312810385e-06, + "loss": 0.693, + "step": 26517 + }, + { + "epoch": 0.78, + "learning_rate": 1.2263549927967277e-06, + "loss": 0.5946, + "step": 26518 + }, + { + "epoch": 0.78, + "learning_rate": 1.2260428884798142e-06, + "loss": 0.5522, + "step": 26519 + }, + { + "epoch": 0.78, + "learning_rate": 1.2257308183331206e-06, + "loss": 0.685, + "step": 26520 + }, + { + "epoch": 0.78, + "learning_rate": 1.225418782359476e-06, + "loss": 0.6521, + "step": 26521 + }, + { + "epoch": 0.78, + "learning_rate": 1.2251067805617012e-06, + "loss": 0.7946, + "step": 26522 + }, + { + "epoch": 0.78, + "learning_rate": 1.2247948129426256e-06, + "loss": 0.7297, + "step": 26523 + }, + { + "epoch": 0.78, + "learning_rate": 1.2244828795050706e-06, + "loss": 0.8221, + "step": 26524 + }, + { + "epoch": 0.78, + "learning_rate": 1.2241709802518632e-06, + "loss": 0.6607, + "step": 26525 + }, + { + "epoch": 0.78, + "learning_rate": 1.2238591151858236e-06, + "loss": 0.4805, + "step": 26526 + }, + { + "epoch": 0.78, + "learning_rate": 1.22354728430978e-06, + "loss": 0.8996, + "step": 26527 + }, + { + "epoch": 0.78, + "learning_rate": 1.2232354876265506e-06, + "loss": 0.4613, + "step": 26528 + }, + { + "epoch": 0.78, + "learning_rate": 1.2229237251389648e-06, + "loss": 0.746, + "step": 26529 + }, + { + "epoch": 0.78, + "learning_rate": 1.22261199684984e-06, + "loss": 1.036, + "step": 26530 + }, + { + "epoch": 0.78, + "learning_rate": 1.2223003027620022e-06, + "loss": 0.8551, + "step": 26531 + }, + { + "epoch": 0.78, + "learning_rate": 1.2219886428782707e-06, + "loss": 0.6991, + "step": 26532 + }, + { + "epoch": 0.78, + "learning_rate": 1.2216770172014702e-06, + "loss": 0.8274, + "step": 26533 + }, + { + "epoch": 0.78, + "learning_rate": 1.2213654257344194e-06, + "loss": 0.7694, + "step": 26534 + }, + { + "epoch": 0.78, + "learning_rate": 1.2210538684799422e-06, + "loss": 0.7264, + "step": 26535 + }, + { + "epoch": 0.78, + "learning_rate": 1.2207423454408563e-06, + "loss": 0.5183, + "step": 26536 + }, + { + "epoch": 0.78, + "learning_rate": 1.2204308566199863e-06, + "loss": 0.8237, + "step": 26537 + }, + { + "epoch": 0.78, + "learning_rate": 1.2201194020201484e-06, + "loss": 0.9669, + "step": 26538 + }, + { + "epoch": 0.78, + "learning_rate": 1.2198079816441643e-06, + "loss": 0.7344, + "step": 26539 + }, + { + "epoch": 0.78, + "learning_rate": 1.2194965954948557e-06, + "loss": 0.4896, + "step": 26540 + }, + { + "epoch": 0.78, + "learning_rate": 1.2191852435750384e-06, + "loss": 0.8161, + "step": 26541 + }, + { + "epoch": 0.78, + "learning_rate": 1.2188739258875347e-06, + "loss": 1.041, + "step": 26542 + }, + { + "epoch": 0.78, + "learning_rate": 1.218562642435161e-06, + "loss": 0.7753, + "step": 26543 + }, + { + "epoch": 0.78, + "learning_rate": 1.2182513932207374e-06, + "loss": 0.6624, + "step": 26544 + }, + { + "epoch": 0.78, + "learning_rate": 1.2179401782470796e-06, + "loss": 0.76, + "step": 26545 + }, + { + "epoch": 0.78, + "learning_rate": 1.2176289975170086e-06, + "loss": 0.7769, + "step": 26546 + }, + { + "epoch": 0.78, + "learning_rate": 1.2173178510333388e-06, + "loss": 0.6459, + "step": 26547 + }, + { + "epoch": 0.78, + "learning_rate": 1.2170067387988887e-06, + "loss": 0.7299, + "step": 26548 + }, + { + "epoch": 0.78, + "learning_rate": 1.2166956608164755e-06, + "loss": 0.6791, + "step": 26549 + }, + { + "epoch": 0.78, + "learning_rate": 1.2163846170889172e-06, + "loss": 0.466, + "step": 26550 + }, + { + "epoch": 0.78, + "learning_rate": 1.2160736076190267e-06, + "loss": 0.7822, + "step": 26551 + }, + { + "epoch": 0.78, + "learning_rate": 1.2157626324096233e-06, + "loss": 0.8151, + "step": 26552 + }, + { + "epoch": 0.78, + "learning_rate": 1.2154516914635196e-06, + "loss": 0.7381, + "step": 26553 + }, + { + "epoch": 0.78, + "learning_rate": 1.2151407847835334e-06, + "loss": 0.426, + "step": 26554 + }, + { + "epoch": 0.78, + "learning_rate": 1.2148299123724777e-06, + "loss": 0.7757, + "step": 26555 + }, + { + "epoch": 0.78, + "learning_rate": 1.2145190742331692e-06, + "loss": 0.8437, + "step": 26556 + }, + { + "epoch": 0.78, + "learning_rate": 1.2142082703684205e-06, + "loss": 0.8246, + "step": 26557 + }, + { + "epoch": 0.78, + "learning_rate": 1.213897500781046e-06, + "loss": 0.6928, + "step": 26558 + }, + { + "epoch": 0.78, + "learning_rate": 1.2135867654738614e-06, + "loss": 0.6838, + "step": 26559 + }, + { + "epoch": 0.78, + "learning_rate": 1.2132760644496772e-06, + "loss": 0.6422, + "step": 26560 + }, + { + "epoch": 0.78, + "learning_rate": 1.2129653977113093e-06, + "loss": 0.5493, + "step": 26561 + }, + { + "epoch": 0.78, + "learning_rate": 1.2126547652615684e-06, + "loss": 0.5493, + "step": 26562 + }, + { + "epoch": 0.78, + "learning_rate": 1.2123441671032692e-06, + "loss": 0.7307, + "step": 26563 + }, + { + "epoch": 0.78, + "learning_rate": 1.212033603239221e-06, + "loss": 0.7616, + "step": 26564 + }, + { + "epoch": 0.78, + "learning_rate": 1.2117230736722392e-06, + "loss": 0.6561, + "step": 26565 + }, + { + "epoch": 0.78, + "learning_rate": 1.2114125784051317e-06, + "loss": 0.568, + "step": 26566 + }, + { + "epoch": 0.78, + "learning_rate": 1.2111021174407135e-06, + "loss": 0.5683, + "step": 26567 + }, + { + "epoch": 0.78, + "learning_rate": 1.21079169078179e-06, + "loss": 0.3816, + "step": 26568 + }, + { + "epoch": 0.78, + "learning_rate": 1.2104812984311792e-06, + "loss": 0.7701, + "step": 26569 + }, + { + "epoch": 0.78, + "learning_rate": 1.2101709403916868e-06, + "loss": 0.697, + "step": 26570 + }, + { + "epoch": 0.78, + "learning_rate": 1.2098606166661248e-06, + "loss": 0.5056, + "step": 26571 + }, + { + "epoch": 0.78, + "learning_rate": 1.2095503272573006e-06, + "loss": 0.715, + "step": 26572 + }, + { + "epoch": 0.78, + "learning_rate": 1.2092400721680264e-06, + "loss": 0.9683, + "step": 26573 + }, + { + "epoch": 0.78, + "learning_rate": 1.2089298514011088e-06, + "loss": 0.6511, + "step": 26574 + }, + { + "epoch": 0.78, + "learning_rate": 1.2086196649593596e-06, + "loss": 0.8291, + "step": 26575 + }, + { + "epoch": 0.78, + "learning_rate": 1.2083095128455836e-06, + "loss": 0.6079, + "step": 26576 + }, + { + "epoch": 0.78, + "learning_rate": 1.2079993950625912e-06, + "loss": 0.5618, + "step": 26577 + }, + { + "epoch": 0.78, + "learning_rate": 1.207689311613191e-06, + "loss": 0.8608, + "step": 26578 + }, + { + "epoch": 0.78, + "learning_rate": 1.2073792625001884e-06, + "loss": 0.7897, + "step": 26579 + }, + { + "epoch": 0.78, + "learning_rate": 1.2070692477263928e-06, + "loss": 0.4142, + "step": 26580 + }, + { + "epoch": 0.78, + "learning_rate": 1.2067592672946088e-06, + "loss": 0.8811, + "step": 26581 + }, + { + "epoch": 0.78, + "learning_rate": 1.2064493212076462e-06, + "loss": 0.7579, + "step": 26582 + }, + { + "epoch": 0.78, + "learning_rate": 1.2061394094683077e-06, + "loss": 0.6841, + "step": 26583 + }, + { + "epoch": 0.78, + "learning_rate": 1.2058295320794027e-06, + "loss": 0.6811, + "step": 26584 + }, + { + "epoch": 0.78, + "learning_rate": 1.2055196890437337e-06, + "loss": 0.6542, + "step": 26585 + }, + { + "epoch": 0.78, + "learning_rate": 1.2052098803641087e-06, + "loss": 0.6735, + "step": 26586 + }, + { + "epoch": 0.78, + "learning_rate": 1.2049001060433296e-06, + "loss": 0.631, + "step": 26587 + }, + { + "epoch": 0.78, + "learning_rate": 1.2045903660842057e-06, + "loss": 0.7955, + "step": 26588 + }, + { + "epoch": 0.78, + "learning_rate": 1.2042806604895374e-06, + "loss": 0.6165, + "step": 26589 + }, + { + "epoch": 0.78, + "learning_rate": 1.2039709892621327e-06, + "loss": 0.6512, + "step": 26590 + }, + { + "epoch": 0.78, + "learning_rate": 1.2036613524047907e-06, + "loss": 0.6226, + "step": 26591 + }, + { + "epoch": 0.78, + "learning_rate": 1.2033517499203195e-06, + "loss": 0.6516, + "step": 26592 + }, + { + "epoch": 0.78, + "learning_rate": 1.203042181811519e-06, + "loss": 0.8058, + "step": 26593 + }, + { + "epoch": 0.78, + "learning_rate": 1.2027326480811947e-06, + "loss": 0.5951, + "step": 26594 + }, + { + "epoch": 0.78, + "learning_rate": 1.2024231487321459e-06, + "loss": 0.75, + "step": 26595 + }, + { + "epoch": 0.78, + "learning_rate": 1.2021136837671788e-06, + "loss": 0.7489, + "step": 26596 + }, + { + "epoch": 0.78, + "learning_rate": 1.2018042531890912e-06, + "loss": 0.6746, + "step": 26597 + }, + { + "epoch": 0.78, + "learning_rate": 1.2014948570006873e-06, + "loss": 0.9436, + "step": 26598 + }, + { + "epoch": 0.78, + "learning_rate": 1.2011854952047696e-06, + "loss": 0.8154, + "step": 26599 + }, + { + "epoch": 0.78, + "learning_rate": 1.2008761678041365e-06, + "loss": 0.931, + "step": 26600 + }, + { + "epoch": 0.78, + "learning_rate": 1.2005668748015904e-06, + "loss": 0.6783, + "step": 26601 + }, + { + "epoch": 0.78, + "learning_rate": 1.2002576161999302e-06, + "loss": 0.5932, + "step": 26602 + }, + { + "epoch": 0.78, + "learning_rate": 1.1999483920019583e-06, + "loss": 0.6281, + "step": 26603 + }, + { + "epoch": 0.78, + "learning_rate": 1.1996392022104714e-06, + "loss": 0.6046, + "step": 26604 + }, + { + "epoch": 0.78, + "learning_rate": 1.199330046828272e-06, + "loss": 0.8376, + "step": 26605 + }, + { + "epoch": 0.78, + "learning_rate": 1.1990209258581569e-06, + "loss": 0.8764, + "step": 26606 + }, + { + "epoch": 0.78, + "learning_rate": 1.1987118393029256e-06, + "loss": 0.7519, + "step": 26607 + }, + { + "epoch": 0.78, + "learning_rate": 1.198402787165377e-06, + "loss": 0.622, + "step": 26608 + }, + { + "epoch": 0.78, + "learning_rate": 1.1980937694483108e-06, + "loss": 0.6644, + "step": 26609 + }, + { + "epoch": 0.78, + "learning_rate": 1.1977847861545222e-06, + "loss": 0.7244, + "step": 26610 + }, + { + "epoch": 0.78, + "learning_rate": 1.1974758372868112e-06, + "loss": 0.686, + "step": 26611 + }, + { + "epoch": 0.78, + "learning_rate": 1.1971669228479725e-06, + "loss": 0.4736, + "step": 26612 + }, + { + "epoch": 0.78, + "learning_rate": 1.1968580428408066e-06, + "loss": 1.043, + "step": 26613 + }, + { + "epoch": 0.78, + "learning_rate": 1.196549197268106e-06, + "loss": 0.6111, + "step": 26614 + }, + { + "epoch": 0.78, + "learning_rate": 1.1962403861326704e-06, + "loss": 0.7546, + "step": 26615 + }, + { + "epoch": 0.78, + "learning_rate": 1.1959316094372935e-06, + "loss": 0.7268, + "step": 26616 + }, + { + "epoch": 0.78, + "learning_rate": 1.1956228671847719e-06, + "loss": 0.5507, + "step": 26617 + }, + { + "epoch": 0.78, + "learning_rate": 1.1953141593779027e-06, + "loss": 0.7494, + "step": 26618 + }, + { + "epoch": 0.78, + "learning_rate": 1.1950054860194781e-06, + "loss": 0.9199, + "step": 26619 + }, + { + "epoch": 0.78, + "learning_rate": 1.1946968471122955e-06, + "loss": 0.9198, + "step": 26620 + }, + { + "epoch": 0.78, + "learning_rate": 1.194388242659147e-06, + "loss": 0.6556, + "step": 26621 + }, + { + "epoch": 0.78, + "learning_rate": 1.1940796726628296e-06, + "loss": 0.6412, + "step": 26622 + }, + { + "epoch": 0.78, + "learning_rate": 1.1937711371261335e-06, + "loss": 0.7777, + "step": 26623 + }, + { + "epoch": 0.78, + "learning_rate": 1.1934626360518565e-06, + "loss": 0.7607, + "step": 26624 + }, + { + "epoch": 0.78, + "learning_rate": 1.1931541694427873e-06, + "loss": 0.5823, + "step": 26625 + }, + { + "epoch": 0.78, + "learning_rate": 1.1928457373017233e-06, + "loss": 0.5021, + "step": 26626 + }, + { + "epoch": 0.78, + "learning_rate": 1.1925373396314517e-06, + "loss": 0.9481, + "step": 26627 + }, + { + "epoch": 0.78, + "learning_rate": 1.1922289764347704e-06, + "loss": 0.7657, + "step": 26628 + }, + { + "epoch": 0.78, + "learning_rate": 1.1919206477144685e-06, + "loss": 0.7621, + "step": 26629 + }, + { + "epoch": 0.78, + "learning_rate": 1.1916123534733393e-06, + "loss": 0.8198, + "step": 26630 + }, + { + "epoch": 0.78, + "learning_rate": 1.1913040937141719e-06, + "loss": 0.8709, + "step": 26631 + }, + { + "epoch": 0.78, + "learning_rate": 1.1909958684397593e-06, + "loss": 0.7165, + "step": 26632 + }, + { + "epoch": 0.78, + "learning_rate": 1.1906876776528908e-06, + "loss": 0.6963, + "step": 26633 + }, + { + "epoch": 0.78, + "learning_rate": 1.1903795213563584e-06, + "loss": 0.5543, + "step": 26634 + }, + { + "epoch": 0.78, + "learning_rate": 1.19007139955295e-06, + "loss": 0.5005, + "step": 26635 + }, + { + "epoch": 0.78, + "learning_rate": 1.1897633122454565e-06, + "loss": 0.6681, + "step": 26636 + }, + { + "epoch": 0.78, + "learning_rate": 1.1894552594366692e-06, + "loss": 0.6346, + "step": 26637 + }, + { + "epoch": 0.78, + "learning_rate": 1.1891472411293743e-06, + "loss": 0.8959, + "step": 26638 + }, + { + "epoch": 0.78, + "learning_rate": 1.1888392573263634e-06, + "loss": 0.8517, + "step": 26639 + }, + { + "epoch": 0.78, + "learning_rate": 1.1885313080304222e-06, + "loss": 0.454, + "step": 26640 + }, + { + "epoch": 0.78, + "learning_rate": 1.1882233932443416e-06, + "loss": 0.7083, + "step": 26641 + }, + { + "epoch": 0.78, + "learning_rate": 1.1879155129709075e-06, + "loss": 0.7512, + "step": 26642 + }, + { + "epoch": 0.78, + "learning_rate": 1.1876076672129094e-06, + "loss": 0.7635, + "step": 26643 + }, + { + "epoch": 0.78, + "learning_rate": 1.1872998559731319e-06, + "loss": 0.8898, + "step": 26644 + }, + { + "epoch": 0.78, + "learning_rate": 1.1869920792543655e-06, + "loss": 0.7744, + "step": 26645 + }, + { + "epoch": 0.78, + "learning_rate": 1.1866843370593923e-06, + "loss": 0.8682, + "step": 26646 + }, + { + "epoch": 0.78, + "learning_rate": 1.186376629391004e-06, + "loss": 0.508, + "step": 26647 + }, + { + "epoch": 0.78, + "learning_rate": 1.1860689562519824e-06, + "loss": 0.7467, + "step": 26648 + }, + { + "epoch": 0.78, + "learning_rate": 1.1857613176451165e-06, + "loss": 0.5105, + "step": 26649 + }, + { + "epoch": 0.78, + "learning_rate": 1.1854537135731887e-06, + "loss": 0.8465, + "step": 26650 + }, + { + "epoch": 0.78, + "learning_rate": 1.1851461440389866e-06, + "loss": 0.6308, + "step": 26651 + }, + { + "epoch": 0.78, + "learning_rate": 1.1848386090452928e-06, + "loss": 0.6247, + "step": 26652 + }, + { + "epoch": 0.78, + "learning_rate": 1.1845311085948946e-06, + "loss": 0.5939, + "step": 26653 + }, + { + "epoch": 0.78, + "learning_rate": 1.1842236426905729e-06, + "loss": 0.5858, + "step": 26654 + }, + { + "epoch": 0.78, + "learning_rate": 1.1839162113351144e-06, + "loss": 0.6224, + "step": 26655 + }, + { + "epoch": 0.78, + "learning_rate": 1.1836088145312997e-06, + "loss": 0.5522, + "step": 26656 + }, + { + "epoch": 0.78, + "learning_rate": 1.183301452281914e-06, + "loss": 0.6669, + "step": 26657 + }, + { + "epoch": 0.78, + "learning_rate": 1.182994124589742e-06, + "loss": 0.7101, + "step": 26658 + }, + { + "epoch": 0.78, + "learning_rate": 1.1826868314575618e-06, + "loss": 0.6678, + "step": 26659 + }, + { + "epoch": 0.78, + "learning_rate": 1.1823795728881603e-06, + "loss": 0.6483, + "step": 26660 + }, + { + "epoch": 0.78, + "learning_rate": 1.1820723488843155e-06, + "loss": 0.8208, + "step": 26661 + }, + { + "epoch": 0.78, + "learning_rate": 1.1817651594488127e-06, + "loss": 0.648, + "step": 26662 + }, + { + "epoch": 0.78, + "learning_rate": 1.1814580045844298e-06, + "loss": 0.6125, + "step": 26663 + }, + { + "epoch": 0.78, + "learning_rate": 1.1811508842939513e-06, + "loss": 0.4119, + "step": 26664 + }, + { + "epoch": 0.78, + "learning_rate": 1.1808437985801547e-06, + "loss": 0.9748, + "step": 26665 + }, + { + "epoch": 0.78, + "learning_rate": 1.1805367474458214e-06, + "loss": 0.7535, + "step": 26666 + }, + { + "epoch": 0.78, + "learning_rate": 1.1802297308937322e-06, + "loss": 0.7123, + "step": 26667 + }, + { + "epoch": 0.78, + "learning_rate": 1.1799227489266685e-06, + "loss": 0.7831, + "step": 26668 + }, + { + "epoch": 0.78, + "learning_rate": 1.1796158015474058e-06, + "loss": 0.6414, + "step": 26669 + }, + { + "epoch": 0.78, + "learning_rate": 1.1793088887587274e-06, + "loss": 0.8034, + "step": 26670 + }, + { + "epoch": 0.78, + "learning_rate": 1.1790020105634088e-06, + "loss": 0.8253, + "step": 26671 + }, + { + "epoch": 0.78, + "learning_rate": 1.178695166964231e-06, + "loss": 0.7055, + "step": 26672 + }, + { + "epoch": 0.78, + "learning_rate": 1.17838835796397e-06, + "loss": 0.512, + "step": 26673 + }, + { + "epoch": 0.78, + "learning_rate": 1.1780815835654063e-06, + "loss": 0.748, + "step": 26674 + }, + { + "epoch": 0.78, + "learning_rate": 1.1777748437713144e-06, + "loss": 0.6485, + "step": 26675 + }, + { + "epoch": 0.78, + "learning_rate": 1.1774681385844733e-06, + "loss": 0.5811, + "step": 26676 + }, + { + "epoch": 0.78, + "learning_rate": 1.1771614680076615e-06, + "loss": 0.5622, + "step": 26677 + }, + { + "epoch": 0.78, + "learning_rate": 1.1768548320436529e-06, + "loss": 0.6176, + "step": 26678 + }, + { + "epoch": 0.78, + "learning_rate": 1.1765482306952263e-06, + "loss": 0.6161, + "step": 26679 + }, + { + "epoch": 0.78, + "learning_rate": 1.1762416639651548e-06, + "loss": 0.6828, + "step": 26680 + }, + { + "epoch": 0.78, + "learning_rate": 1.1759351318562174e-06, + "loss": 0.793, + "step": 26681 + }, + { + "epoch": 0.78, + "learning_rate": 1.1756286343711865e-06, + "loss": 0.6798, + "step": 26682 + }, + { + "epoch": 0.78, + "learning_rate": 1.1753221715128404e-06, + "loss": 0.6869, + "step": 26683 + }, + { + "epoch": 0.78, + "learning_rate": 1.1750157432839498e-06, + "loss": 0.7234, + "step": 26684 + }, + { + "epoch": 0.78, + "learning_rate": 1.1747093496872936e-06, + "loss": 0.6456, + "step": 26685 + }, + { + "epoch": 0.78, + "learning_rate": 1.174402990725641e-06, + "loss": 1.1705, + "step": 26686 + }, + { + "epoch": 0.78, + "learning_rate": 1.1740966664017711e-06, + "loss": 0.8127, + "step": 26687 + }, + { + "epoch": 0.78, + "learning_rate": 1.1737903767184539e-06, + "loss": 0.579, + "step": 26688 + }, + { + "epoch": 0.78, + "learning_rate": 1.1734841216784649e-06, + "loss": 0.6218, + "step": 26689 + }, + { + "epoch": 0.78, + "learning_rate": 1.1731779012845739e-06, + "loss": 0.741, + "step": 26690 + }, + { + "epoch": 0.78, + "learning_rate": 1.1728717155395575e-06, + "loss": 0.5621, + "step": 26691 + }, + { + "epoch": 0.78, + "learning_rate": 1.1725655644461842e-06, + "loss": 0.6996, + "step": 26692 + }, + { + "epoch": 0.78, + "learning_rate": 1.1722594480072286e-06, + "loss": 0.8195, + "step": 26693 + }, + { + "epoch": 0.78, + "learning_rate": 1.1719533662254607e-06, + "loss": 0.7696, + "step": 26694 + }, + { + "epoch": 0.78, + "learning_rate": 1.171647319103653e-06, + "loss": 0.7294, + "step": 26695 + }, + { + "epoch": 0.78, + "learning_rate": 1.1713413066445756e-06, + "loss": 0.635, + "step": 26696 + }, + { + "epoch": 0.78, + "learning_rate": 1.171035328850999e-06, + "loss": 0.6392, + "step": 26697 + }, + { + "epoch": 0.78, + "learning_rate": 1.1707293857256957e-06, + "loss": 0.6929, + "step": 26698 + }, + { + "epoch": 0.78, + "learning_rate": 1.1704234772714323e-06, + "loss": 0.6634, + "step": 26699 + }, + { + "epoch": 0.78, + "learning_rate": 1.170117603490983e-06, + "loss": 0.8025, + "step": 26700 + }, + { + "epoch": 0.78, + "learning_rate": 1.1698117643871126e-06, + "loss": 0.7989, + "step": 26701 + }, + { + "epoch": 0.78, + "learning_rate": 1.1695059599625942e-06, + "loss": 1.0026, + "step": 26702 + }, + { + "epoch": 0.78, + "learning_rate": 1.1692001902201928e-06, + "loss": 0.53, + "step": 26703 + }, + { + "epoch": 0.78, + "learning_rate": 1.1688944551626808e-06, + "loss": 1.0025, + "step": 26704 + }, + { + "epoch": 0.78, + "learning_rate": 1.1685887547928216e-06, + "loss": 0.7013, + "step": 26705 + }, + { + "epoch": 0.78, + "learning_rate": 1.168283089113389e-06, + "loss": 0.9028, + "step": 26706 + }, + { + "epoch": 0.78, + "learning_rate": 1.1679774581271458e-06, + "loss": 0.6118, + "step": 26707 + }, + { + "epoch": 0.78, + "learning_rate": 1.1676718618368626e-06, + "loss": 0.6276, + "step": 26708 + }, + { + "epoch": 0.78, + "learning_rate": 1.1673663002453035e-06, + "loss": 0.5168, + "step": 26709 + }, + { + "epoch": 0.78, + "learning_rate": 1.1670607733552375e-06, + "loss": 0.708, + "step": 26710 + }, + { + "epoch": 0.78, + "learning_rate": 1.1667552811694283e-06, + "loss": 0.7051, + "step": 26711 + }, + { + "epoch": 0.78, + "learning_rate": 1.1664498236906452e-06, + "loss": 0.7251, + "step": 26712 + }, + { + "epoch": 0.78, + "learning_rate": 1.1661444009216505e-06, + "loss": 1.0162, + "step": 26713 + }, + { + "epoch": 0.78, + "learning_rate": 1.165839012865212e-06, + "loss": 0.748, + "step": 26714 + }, + { + "epoch": 0.78, + "learning_rate": 1.1655336595240912e-06, + "loss": 0.6632, + "step": 26715 + }, + { + "epoch": 0.78, + "learning_rate": 1.165228340901059e-06, + "loss": 0.5821, + "step": 26716 + }, + { + "epoch": 0.78, + "learning_rate": 1.1649230569988757e-06, + "loss": 0.7974, + "step": 26717 + }, + { + "epoch": 0.78, + "learning_rate": 1.1646178078203046e-06, + "loss": 0.5733, + "step": 26718 + }, + { + "epoch": 0.78, + "learning_rate": 1.1643125933681127e-06, + "loss": 0.6114, + "step": 26719 + }, + { + "epoch": 0.79, + "learning_rate": 1.1640074136450597e-06, + "loss": 0.7397, + "step": 26720 + }, + { + "epoch": 0.79, + "learning_rate": 1.1637022686539123e-06, + "loss": 0.7009, + "step": 26721 + }, + { + "epoch": 0.79, + "learning_rate": 1.1633971583974306e-06, + "loss": 0.872, + "step": 26722 + }, + { + "epoch": 0.79, + "learning_rate": 1.1630920828783797e-06, + "loss": 0.9632, + "step": 26723 + }, + { + "epoch": 0.79, + "learning_rate": 1.162787042099519e-06, + "loss": 0.7829, + "step": 26724 + }, + { + "epoch": 0.79, + "learning_rate": 1.162482036063612e-06, + "loss": 0.7134, + "step": 26725 + }, + { + "epoch": 0.79, + "learning_rate": 1.16217706477342e-06, + "loss": 0.874, + "step": 26726 + }, + { + "epoch": 0.79, + "learning_rate": 1.1618721282317052e-06, + "loss": 0.5209, + "step": 26727 + }, + { + "epoch": 0.79, + "learning_rate": 1.1615672264412274e-06, + "loss": 0.7041, + "step": 26728 + }, + { + "epoch": 0.79, + "learning_rate": 1.1612623594047485e-06, + "loss": 0.5869, + "step": 26729 + }, + { + "epoch": 0.79, + "learning_rate": 1.1609575271250267e-06, + "loss": 0.7437, + "step": 26730 + }, + { + "epoch": 0.79, + "learning_rate": 1.1606527296048248e-06, + "loss": 0.6877, + "step": 26731 + }, + { + "epoch": 0.79, + "learning_rate": 1.1603479668468992e-06, + "loss": 0.423, + "step": 26732 + }, + { + "epoch": 0.79, + "learning_rate": 1.1600432388540128e-06, + "loss": 0.5955, + "step": 26733 + }, + { + "epoch": 0.79, + "learning_rate": 1.1597385456289212e-06, + "loss": 0.6476, + "step": 26734 + }, + { + "epoch": 0.79, + "learning_rate": 1.1594338871743849e-06, + "loss": 0.7533, + "step": 26735 + }, + { + "epoch": 0.79, + "learning_rate": 1.1591292634931627e-06, + "loss": 0.788, + "step": 26736 + }, + { + "epoch": 0.79, + "learning_rate": 1.1588246745880138e-06, + "loss": 0.628, + "step": 26737 + }, + { + "epoch": 0.79, + "learning_rate": 1.1585201204616924e-06, + "loss": 0.6027, + "step": 26738 + }, + { + "epoch": 0.79, + "learning_rate": 1.1582156011169604e-06, + "loss": 0.6719, + "step": 26739 + }, + { + "epoch": 0.79, + "learning_rate": 1.157911116556571e-06, + "loss": 0.7147, + "step": 26740 + }, + { + "epoch": 0.79, + "learning_rate": 1.1576066667832848e-06, + "loss": 0.4616, + "step": 26741 + }, + { + "epoch": 0.79, + "learning_rate": 1.1573022517998555e-06, + "loss": 0.5803, + "step": 26742 + }, + { + "epoch": 0.79, + "learning_rate": 1.1569978716090397e-06, + "loss": 0.6544, + "step": 26743 + }, + { + "epoch": 0.79, + "learning_rate": 1.1566935262135947e-06, + "loss": 0.8423, + "step": 26744 + }, + { + "epoch": 0.79, + "learning_rate": 1.1563892156162726e-06, + "loss": 0.554, + "step": 26745 + }, + { + "epoch": 0.79, + "learning_rate": 1.1560849398198338e-06, + "loss": 0.7472, + "step": 26746 + }, + { + "epoch": 0.79, + "learning_rate": 1.1557806988270297e-06, + "loss": 0.3277, + "step": 26747 + }, + { + "epoch": 0.79, + "learning_rate": 1.1554764926406176e-06, + "loss": 0.7078, + "step": 26748 + }, + { + "epoch": 0.79, + "learning_rate": 1.1551723212633487e-06, + "loss": 0.7375, + "step": 26749 + }, + { + "epoch": 0.79, + "learning_rate": 1.1548681846979803e-06, + "loss": 0.806, + "step": 26750 + }, + { + "epoch": 0.79, + "learning_rate": 1.1545640829472633e-06, + "loss": 1.1229, + "step": 26751 + }, + { + "epoch": 0.79, + "learning_rate": 1.1542600160139533e-06, + "loss": 0.5393, + "step": 26752 + }, + { + "epoch": 0.79, + "learning_rate": 1.1539559839008013e-06, + "loss": 0.6675, + "step": 26753 + }, + { + "epoch": 0.79, + "learning_rate": 1.1536519866105623e-06, + "loss": 1.0718, + "step": 26754 + }, + { + "epoch": 0.79, + "learning_rate": 1.1533480241459848e-06, + "loss": 0.6806, + "step": 26755 + }, + { + "epoch": 0.79, + "learning_rate": 1.1530440965098267e-06, + "loss": 0.6501, + "step": 26756 + }, + { + "epoch": 0.79, + "learning_rate": 1.1527402037048352e-06, + "loss": 0.9725, + "step": 26757 + }, + { + "epoch": 0.79, + "learning_rate": 1.1524363457337652e-06, + "loss": 0.781, + "step": 26758 + }, + { + "epoch": 0.79, + "learning_rate": 1.1521325225993645e-06, + "loss": 0.7396, + "step": 26759 + }, + { + "epoch": 0.79, + "learning_rate": 1.1518287343043872e-06, + "loss": 0.6943, + "step": 26760 + }, + { + "epoch": 0.79, + "learning_rate": 1.151524980851581e-06, + "loss": 0.546, + "step": 26761 + }, + { + "epoch": 0.79, + "learning_rate": 1.1512212622436991e-06, + "loss": 0.74, + "step": 26762 + }, + { + "epoch": 0.79, + "learning_rate": 1.150917578483488e-06, + "loss": 0.7208, + "step": 26763 + }, + { + "epoch": 0.79, + "learning_rate": 1.1506139295737006e-06, + "loss": 1.0263, + "step": 26764 + }, + { + "epoch": 0.79, + "learning_rate": 1.1503103155170836e-06, + "loss": 0.6583, + "step": 26765 + }, + { + "epoch": 0.79, + "learning_rate": 1.150006736316387e-06, + "loss": 0.7113, + "step": 26766 + }, + { + "epoch": 0.79, + "learning_rate": 1.1497031919743613e-06, + "loss": 0.7804, + "step": 26767 + }, + { + "epoch": 0.79, + "learning_rate": 1.1493996824937508e-06, + "loss": 0.4561, + "step": 26768 + }, + { + "epoch": 0.79, + "learning_rate": 1.1490962078773083e-06, + "loss": 0.5352, + "step": 26769 + }, + { + "epoch": 0.79, + "learning_rate": 1.1487927681277772e-06, + "loss": 0.5362, + "step": 26770 + }, + { + "epoch": 0.79, + "learning_rate": 1.1484893632479083e-06, + "loss": 0.779, + "step": 26771 + }, + { + "epoch": 0.79, + "learning_rate": 1.148185993240446e-06, + "loss": 0.3986, + "step": 26772 + }, + { + "epoch": 0.79, + "learning_rate": 1.1478826581081393e-06, + "loss": 0.8737, + "step": 26773 + }, + { + "epoch": 0.79, + "learning_rate": 1.1475793578537315e-06, + "loss": 0.747, + "step": 26774 + }, + { + "epoch": 0.79, + "learning_rate": 1.147276092479973e-06, + "loss": 0.6434, + "step": 26775 + }, + { + "epoch": 0.79, + "learning_rate": 1.1469728619896065e-06, + "loss": 0.8773, + "step": 26776 + }, + { + "epoch": 0.79, + "learning_rate": 1.14666966638538e-06, + "loss": 0.8192, + "step": 26777 + }, + { + "epoch": 0.79, + "learning_rate": 1.1463665056700358e-06, + "loss": 0.6149, + "step": 26778 + }, + { + "epoch": 0.79, + "learning_rate": 1.1460633798463212e-06, + "loss": 0.8868, + "step": 26779 + }, + { + "epoch": 0.79, + "learning_rate": 1.1457602889169789e-06, + "loss": 0.8141, + "step": 26780 + }, + { + "epoch": 0.79, + "learning_rate": 1.145457232884755e-06, + "loss": 0.6522, + "step": 26781 + }, + { + "epoch": 0.79, + "learning_rate": 1.1451542117523917e-06, + "loss": 0.9421, + "step": 26782 + }, + { + "epoch": 0.79, + "learning_rate": 1.1448512255226346e-06, + "loss": 0.9351, + "step": 26783 + }, + { + "epoch": 0.79, + "learning_rate": 1.144548274198224e-06, + "loss": 0.5359, + "step": 26784 + }, + { + "epoch": 0.79, + "learning_rate": 1.144245357781905e-06, + "loss": 0.8613, + "step": 26785 + }, + { + "epoch": 0.79, + "learning_rate": 1.1439424762764213e-06, + "loss": 0.4594, + "step": 26786 + }, + { + "epoch": 0.79, + "learning_rate": 1.1436396296845125e-06, + "loss": 0.5952, + "step": 26787 + }, + { + "epoch": 0.79, + "learning_rate": 1.1433368180089238e-06, + "loss": 0.4043, + "step": 26788 + }, + { + "epoch": 0.79, + "learning_rate": 1.1430340412523932e-06, + "loss": 0.6815, + "step": 26789 + }, + { + "epoch": 0.79, + "learning_rate": 1.1427312994176658e-06, + "loss": 0.5481, + "step": 26790 + }, + { + "epoch": 0.79, + "learning_rate": 1.1424285925074797e-06, + "loss": 0.9346, + "step": 26791 + }, + { + "epoch": 0.79, + "learning_rate": 1.1421259205245777e-06, + "loss": 0.5585, + "step": 26792 + }, + { + "epoch": 0.79, + "learning_rate": 1.1418232834716986e-06, + "loss": 0.631, + "step": 26793 + }, + { + "epoch": 0.79, + "learning_rate": 1.1415206813515834e-06, + "loss": 0.9335, + "step": 26794 + }, + { + "epoch": 0.79, + "learning_rate": 1.141218114166972e-06, + "loss": 0.6136, + "step": 26795 + }, + { + "epoch": 0.79, + "learning_rate": 1.1409155819206052e-06, + "loss": 0.7182, + "step": 26796 + }, + { + "epoch": 0.79, + "learning_rate": 1.1406130846152197e-06, + "loss": 0.8905, + "step": 26797 + }, + { + "epoch": 0.79, + "learning_rate": 1.1403106222535565e-06, + "loss": 0.7257, + "step": 26798 + }, + { + "epoch": 0.79, + "learning_rate": 1.1400081948383523e-06, + "loss": 0.85, + "step": 26799 + }, + { + "epoch": 0.79, + "learning_rate": 1.1397058023723474e-06, + "loss": 0.7188, + "step": 26800 + }, + { + "epoch": 0.79, + "learning_rate": 1.139403444858277e-06, + "loss": 0.8508, + "step": 26801 + }, + { + "epoch": 0.79, + "learning_rate": 1.1391011222988818e-06, + "loss": 0.8483, + "step": 26802 + }, + { + "epoch": 0.79, + "learning_rate": 1.1387988346968964e-06, + "loss": 0.7576, + "step": 26803 + }, + { + "epoch": 0.79, + "learning_rate": 1.1384965820550587e-06, + "loss": 0.7562, + "step": 26804 + }, + { + "epoch": 0.79, + "learning_rate": 1.1381943643761068e-06, + "loss": 1.0346, + "step": 26805 + }, + { + "epoch": 0.79, + "learning_rate": 1.1378921816627748e-06, + "loss": 0.6648, + "step": 26806 + }, + { + "epoch": 0.79, + "learning_rate": 1.1375900339178014e-06, + "loss": 0.8546, + "step": 26807 + }, + { + "epoch": 0.79, + "learning_rate": 1.1372879211439185e-06, + "loss": 0.6605, + "step": 26808 + }, + { + "epoch": 0.79, + "learning_rate": 1.1369858433438658e-06, + "loss": 0.7127, + "step": 26809 + }, + { + "epoch": 0.79, + "learning_rate": 1.1366838005203744e-06, + "loss": 0.8481, + "step": 26810 + }, + { + "epoch": 0.79, + "learning_rate": 1.1363817926761829e-06, + "loss": 0.6697, + "step": 26811 + }, + { + "epoch": 0.79, + "learning_rate": 1.1360798198140221e-06, + "loss": 0.9327, + "step": 26812 + }, + { + "epoch": 0.79, + "learning_rate": 1.1357778819366295e-06, + "loss": 0.8912, + "step": 26813 + }, + { + "epoch": 0.79, + "learning_rate": 1.135475979046734e-06, + "loss": 0.714, + "step": 26814 + }, + { + "epoch": 0.79, + "learning_rate": 1.135174111147075e-06, + "loss": 0.6923, + "step": 26815 + }, + { + "epoch": 0.79, + "learning_rate": 1.1348722782403815e-06, + "loss": 0.6376, + "step": 26816 + }, + { + "epoch": 0.79, + "learning_rate": 1.1345704803293895e-06, + "loss": 0.8701, + "step": 26817 + }, + { + "epoch": 0.79, + "learning_rate": 1.1342687174168287e-06, + "loss": 0.7636, + "step": 26818 + }, + { + "epoch": 0.79, + "learning_rate": 1.133966989505434e-06, + "loss": 0.767, + "step": 26819 + }, + { + "epoch": 0.79, + "learning_rate": 1.1336652965979338e-06, + "loss": 0.613, + "step": 26820 + }, + { + "epoch": 0.79, + "learning_rate": 1.133363638697063e-06, + "loss": 0.5844, + "step": 26821 + }, + { + "epoch": 0.79, + "learning_rate": 1.1330620158055512e-06, + "loss": 0.8346, + "step": 26822 + }, + { + "epoch": 0.79, + "learning_rate": 1.1327604279261307e-06, + "loss": 0.6429, + "step": 26823 + }, + { + "epoch": 0.79, + "learning_rate": 1.1324588750615295e-06, + "loss": 0.6926, + "step": 26824 + }, + { + "epoch": 0.79, + "learning_rate": 1.1321573572144795e-06, + "loss": 0.9438, + "step": 26825 + }, + { + "epoch": 0.79, + "learning_rate": 1.1318558743877127e-06, + "loss": 0.7618, + "step": 26826 + }, + { + "epoch": 0.79, + "learning_rate": 1.131554426583955e-06, + "loss": 0.6885, + "step": 26827 + }, + { + "epoch": 0.79, + "learning_rate": 1.1312530138059396e-06, + "loss": 0.7947, + "step": 26828 + }, + { + "epoch": 0.79, + "learning_rate": 1.1309516360563922e-06, + "loss": 0.9299, + "step": 26829 + }, + { + "epoch": 0.79, + "learning_rate": 1.1306502933380443e-06, + "loss": 0.6551, + "step": 26830 + }, + { + "epoch": 0.79, + "learning_rate": 1.130348985653621e-06, + "loss": 0.7982, + "step": 26831 + }, + { + "epoch": 0.79, + "learning_rate": 1.1300477130058546e-06, + "loss": 0.7928, + "step": 26832 + }, + { + "epoch": 0.79, + "learning_rate": 1.1297464753974673e-06, + "loss": 1.0143, + "step": 26833 + }, + { + "epoch": 0.79, + "learning_rate": 1.1294452728311933e-06, + "loss": 0.8448, + "step": 26834 + }, + { + "epoch": 0.79, + "learning_rate": 1.1291441053097546e-06, + "loss": 0.9931, + "step": 26835 + }, + { + "epoch": 0.79, + "learning_rate": 1.1288429728358819e-06, + "loss": 0.935, + "step": 26836 + }, + { + "epoch": 0.79, + "learning_rate": 1.1285418754122974e-06, + "loss": 0.7824, + "step": 26837 + }, + { + "epoch": 0.79, + "learning_rate": 1.1282408130417316e-06, + "loss": 0.9074, + "step": 26838 + }, + { + "epoch": 0.79, + "learning_rate": 1.1279397857269064e-06, + "loss": 0.7551, + "step": 26839 + }, + { + "epoch": 0.79, + "learning_rate": 1.1276387934705512e-06, + "loss": 0.9845, + "step": 26840 + }, + { + "epoch": 0.79, + "learning_rate": 1.1273378362753878e-06, + "loss": 0.8785, + "step": 26841 + }, + { + "epoch": 0.79, + "learning_rate": 1.1270369141441445e-06, + "loss": 0.691, + "step": 26842 + }, + { + "epoch": 0.79, + "learning_rate": 1.126736027079542e-06, + "loss": 0.6868, + "step": 26843 + }, + { + "epoch": 0.79, + "learning_rate": 1.1264351750843072e-06, + "loss": 1.0826, + "step": 26844 + }, + { + "epoch": 0.79, + "learning_rate": 1.126134358161165e-06, + "loss": 0.785, + "step": 26845 + }, + { + "epoch": 0.79, + "learning_rate": 1.1258335763128359e-06, + "loss": 0.5901, + "step": 26846 + }, + { + "epoch": 0.79, + "learning_rate": 1.1255328295420465e-06, + "loss": 0.6549, + "step": 26847 + }, + { + "epoch": 0.79, + "learning_rate": 1.1252321178515173e-06, + "loss": 0.8196, + "step": 26848 + }, + { + "epoch": 0.79, + "learning_rate": 1.1249314412439733e-06, + "loss": 0.6614, + "step": 26849 + }, + { + "epoch": 0.79, + "learning_rate": 1.124630799722134e-06, + "loss": 0.4766, + "step": 26850 + }, + { + "epoch": 0.79, + "learning_rate": 1.1243301932887246e-06, + "loss": 0.7025, + "step": 26851 + }, + { + "epoch": 0.79, + "learning_rate": 1.1240296219464635e-06, + "loss": 0.7103, + "step": 26852 + }, + { + "epoch": 0.79, + "learning_rate": 1.1237290856980749e-06, + "loss": 0.8636, + "step": 26853 + }, + { + "epoch": 0.79, + "learning_rate": 1.1234285845462783e-06, + "loss": 0.5555, + "step": 26854 + }, + { + "epoch": 0.79, + "learning_rate": 1.123128118493797e-06, + "loss": 0.6752, + "step": 26855 + }, + { + "epoch": 0.79, + "learning_rate": 1.122827687543348e-06, + "loss": 0.534, + "step": 26856 + }, + { + "epoch": 0.79, + "learning_rate": 1.122527291697655e-06, + "loss": 0.7486, + "step": 26857 + }, + { + "epoch": 0.79, + "learning_rate": 1.122226930959434e-06, + "loss": 0.6536, + "step": 26858 + }, + { + "epoch": 0.79, + "learning_rate": 1.1219266053314083e-06, + "loss": 0.8205, + "step": 26859 + }, + { + "epoch": 0.79, + "learning_rate": 1.1216263148162943e-06, + "loss": 0.8601, + "step": 26860 + }, + { + "epoch": 0.79, + "learning_rate": 1.121326059416813e-06, + "loss": 0.472, + "step": 26861 + }, + { + "epoch": 0.79, + "learning_rate": 1.1210258391356805e-06, + "loss": 0.9536, + "step": 26862 + }, + { + "epoch": 0.79, + "learning_rate": 1.1207256539756163e-06, + "loss": 0.7469, + "step": 26863 + }, + { + "epoch": 0.79, + "learning_rate": 1.1204255039393402e-06, + "loss": 0.5932, + "step": 26864 + }, + { + "epoch": 0.79, + "learning_rate": 1.1201253890295665e-06, + "loss": 0.6393, + "step": 26865 + }, + { + "epoch": 0.79, + "learning_rate": 1.1198253092490157e-06, + "loss": 0.6251, + "step": 26866 + }, + { + "epoch": 0.79, + "learning_rate": 1.1195252646004017e-06, + "loss": 0.7144, + "step": 26867 + }, + { + "epoch": 0.79, + "learning_rate": 1.1192252550864446e-06, + "loss": 0.5559, + "step": 26868 + }, + { + "epoch": 0.79, + "learning_rate": 1.1189252807098572e-06, + "loss": 0.7142, + "step": 26869 + }, + { + "epoch": 0.79, + "learning_rate": 1.1186253414733583e-06, + "loss": 0.6106, + "step": 26870 + }, + { + "epoch": 0.79, + "learning_rate": 1.1183254373796616e-06, + "loss": 0.6412, + "step": 26871 + }, + { + "epoch": 0.79, + "learning_rate": 1.1180255684314844e-06, + "loss": 0.6033, + "step": 26872 + }, + { + "epoch": 0.79, + "learning_rate": 1.1177257346315379e-06, + "loss": 0.6487, + "step": 26873 + }, + { + "epoch": 0.79, + "learning_rate": 1.1174259359825428e-06, + "loss": 0.8203, + "step": 26874 + }, + { + "epoch": 0.79, + "learning_rate": 1.117126172487209e-06, + "loss": 0.608, + "step": 26875 + }, + { + "epoch": 0.79, + "learning_rate": 1.1168264441482535e-06, + "loss": 0.903, + "step": 26876 + }, + { + "epoch": 0.79, + "learning_rate": 1.1165267509683874e-06, + "loss": 0.4157, + "step": 26877 + }, + { + "epoch": 0.79, + "learning_rate": 1.1162270929503272e-06, + "loss": 0.8985, + "step": 26878 + }, + { + "epoch": 0.79, + "learning_rate": 1.1159274700967825e-06, + "loss": 0.7286, + "step": 26879 + }, + { + "epoch": 0.79, + "learning_rate": 1.1156278824104693e-06, + "loss": 0.9502, + "step": 26880 + }, + { + "epoch": 0.79, + "learning_rate": 1.115328329894098e-06, + "loss": 0.6086, + "step": 26881 + }, + { + "epoch": 0.79, + "learning_rate": 1.1150288125503828e-06, + "loss": 0.7918, + "step": 26882 + }, + { + "epoch": 0.79, + "learning_rate": 1.1147293303820328e-06, + "loss": 0.6773, + "step": 26883 + }, + { + "epoch": 0.79, + "learning_rate": 1.1144298833917616e-06, + "loss": 0.535, + "step": 26884 + }, + { + "epoch": 0.79, + "learning_rate": 1.1141304715822815e-06, + "loss": 0.7956, + "step": 26885 + }, + { + "epoch": 0.79, + "learning_rate": 1.1138310949563002e-06, + "loss": 0.6403, + "step": 26886 + }, + { + "epoch": 0.79, + "learning_rate": 1.1135317535165318e-06, + "loss": 0.7717, + "step": 26887 + }, + { + "epoch": 0.79, + "learning_rate": 1.1132324472656836e-06, + "loss": 0.8433, + "step": 26888 + }, + { + "epoch": 0.79, + "learning_rate": 1.1129331762064688e-06, + "loss": 0.6877, + "step": 26889 + }, + { + "epoch": 0.79, + "learning_rate": 1.1126339403415932e-06, + "loss": 0.7945, + "step": 26890 + }, + { + "epoch": 0.79, + "learning_rate": 1.1123347396737694e-06, + "loss": 0.8846, + "step": 26891 + }, + { + "epoch": 0.79, + "learning_rate": 1.1120355742057043e-06, + "loss": 0.7405, + "step": 26892 + }, + { + "epoch": 0.79, + "learning_rate": 1.1117364439401073e-06, + "loss": 0.9918, + "step": 26893 + }, + { + "epoch": 0.79, + "learning_rate": 1.111437348879687e-06, + "loss": 0.7005, + "step": 26894 + }, + { + "epoch": 0.79, + "learning_rate": 1.1111382890271526e-06, + "loss": 0.9209, + "step": 26895 + }, + { + "epoch": 0.79, + "learning_rate": 1.1108392643852096e-06, + "loss": 0.7282, + "step": 26896 + }, + { + "epoch": 0.79, + "learning_rate": 1.1105402749565674e-06, + "loss": 0.7492, + "step": 26897 + }, + { + "epoch": 0.79, + "learning_rate": 1.1102413207439316e-06, + "loss": 0.5108, + "step": 26898 + }, + { + "epoch": 0.79, + "learning_rate": 1.1099424017500105e-06, + "loss": 0.6355, + "step": 26899 + }, + { + "epoch": 0.79, + "learning_rate": 1.1096435179775083e-06, + "loss": 0.689, + "step": 26900 + }, + { + "epoch": 0.79, + "learning_rate": 1.1093446694291343e-06, + "loss": 0.5665, + "step": 26901 + }, + { + "epoch": 0.79, + "learning_rate": 1.1090458561075912e-06, + "loss": 0.6306, + "step": 26902 + }, + { + "epoch": 0.79, + "learning_rate": 1.1087470780155856e-06, + "loss": 0.602, + "step": 26903 + }, + { + "epoch": 0.79, + "learning_rate": 1.108448335155825e-06, + "loss": 0.6621, + "step": 26904 + }, + { + "epoch": 0.79, + "learning_rate": 1.1081496275310106e-06, + "loss": 0.6605, + "step": 26905 + }, + { + "epoch": 0.79, + "learning_rate": 1.1078509551438498e-06, + "loss": 0.5247, + "step": 26906 + }, + { + "epoch": 0.79, + "learning_rate": 1.107552317997045e-06, + "loss": 0.5591, + "step": 26907 + }, + { + "epoch": 0.79, + "learning_rate": 1.1072537160933017e-06, + "loss": 0.7856, + "step": 26908 + }, + { + "epoch": 0.79, + "learning_rate": 1.1069551494353216e-06, + "loss": 0.637, + "step": 26909 + }, + { + "epoch": 0.79, + "learning_rate": 1.1066566180258098e-06, + "loss": 0.5494, + "step": 26910 + }, + { + "epoch": 0.79, + "learning_rate": 1.106358121867468e-06, + "loss": 0.4943, + "step": 26911 + }, + { + "epoch": 0.79, + "learning_rate": 1.1060596609629986e-06, + "loss": 0.9851, + "step": 26912 + }, + { + "epoch": 0.79, + "learning_rate": 1.1057612353151049e-06, + "loss": 0.8228, + "step": 26913 + }, + { + "epoch": 0.79, + "learning_rate": 1.1054628449264903e-06, + "loss": 0.7377, + "step": 26914 + }, + { + "epoch": 0.79, + "learning_rate": 1.1051644897998537e-06, + "loss": 0.7507, + "step": 26915 + }, + { + "epoch": 0.79, + "learning_rate": 1.1048661699378988e-06, + "loss": 0.6912, + "step": 26916 + }, + { + "epoch": 0.79, + "learning_rate": 1.104567885343324e-06, + "loss": 0.5638, + "step": 26917 + }, + { + "epoch": 0.79, + "learning_rate": 1.1042696360188326e-06, + "loss": 0.7647, + "step": 26918 + }, + { + "epoch": 0.79, + "learning_rate": 1.1039714219671233e-06, + "loss": 0.7455, + "step": 26919 + }, + { + "epoch": 0.79, + "learning_rate": 1.103673243190898e-06, + "loss": 0.6436, + "step": 26920 + }, + { + "epoch": 0.79, + "learning_rate": 1.1033750996928538e-06, + "loss": 0.9042, + "step": 26921 + }, + { + "epoch": 0.79, + "learning_rate": 1.1030769914756917e-06, + "loss": 0.5636, + "step": 26922 + }, + { + "epoch": 0.79, + "learning_rate": 1.1027789185421123e-06, + "loss": 0.7523, + "step": 26923 + }, + { + "epoch": 0.79, + "learning_rate": 1.1024808808948117e-06, + "loss": 0.7816, + "step": 26924 + }, + { + "epoch": 0.79, + "learning_rate": 1.1021828785364907e-06, + "loss": 0.7619, + "step": 26925 + }, + { + "epoch": 0.79, + "learning_rate": 1.1018849114698454e-06, + "loss": 0.6341, + "step": 26926 + }, + { + "epoch": 0.79, + "learning_rate": 1.101586979697576e-06, + "loss": 0.7427, + "step": 26927 + }, + { + "epoch": 0.79, + "learning_rate": 1.1012890832223767e-06, + "loss": 0.7984, + "step": 26928 + }, + { + "epoch": 0.79, + "learning_rate": 1.1009912220469488e-06, + "loss": 0.5838, + "step": 26929 + }, + { + "epoch": 0.79, + "learning_rate": 1.1006933961739857e-06, + "loss": 1.1145, + "step": 26930 + }, + { + "epoch": 0.79, + "learning_rate": 1.1003956056061865e-06, + "loss": 0.5797, + "step": 26931 + }, + { + "epoch": 0.79, + "learning_rate": 1.1000978503462435e-06, + "loss": 0.7178, + "step": 26932 + }, + { + "epoch": 0.79, + "learning_rate": 1.0998001303968585e-06, + "loss": 0.7332, + "step": 26933 + }, + { + "epoch": 0.79, + "learning_rate": 1.099502445760723e-06, + "loss": 0.8602, + "step": 26934 + }, + { + "epoch": 0.79, + "learning_rate": 1.0992047964405345e-06, + "loss": 0.6837, + "step": 26935 + }, + { + "epoch": 0.79, + "learning_rate": 1.0989071824389858e-06, + "loss": 0.8399, + "step": 26936 + }, + { + "epoch": 0.79, + "learning_rate": 1.0986096037587735e-06, + "loss": 0.7602, + "step": 26937 + }, + { + "epoch": 0.79, + "learning_rate": 1.0983120604025904e-06, + "loss": 0.6963, + "step": 26938 + }, + { + "epoch": 0.79, + "learning_rate": 1.0980145523731322e-06, + "loss": 0.7589, + "step": 26939 + }, + { + "epoch": 0.79, + "learning_rate": 1.0977170796730902e-06, + "loss": 0.4731, + "step": 26940 + }, + { + "epoch": 0.79, + "learning_rate": 1.097419642305161e-06, + "loss": 0.758, + "step": 26941 + }, + { + "epoch": 0.79, + "learning_rate": 1.0971222402720338e-06, + "loss": 0.6515, + "step": 26942 + }, + { + "epoch": 0.79, + "learning_rate": 1.0968248735764042e-06, + "loss": 0.6588, + "step": 26943 + }, + { + "epoch": 0.79, + "learning_rate": 1.0965275422209648e-06, + "loss": 0.6487, + "step": 26944 + }, + { + "epoch": 0.79, + "learning_rate": 1.0962302462084057e-06, + "loss": 0.7051, + "step": 26945 + }, + { + "epoch": 0.79, + "learning_rate": 1.0959329855414208e-06, + "loss": 0.6971, + "step": 26946 + }, + { + "epoch": 0.79, + "learning_rate": 1.0956357602226992e-06, + "loss": 0.5706, + "step": 26947 + }, + { + "epoch": 0.79, + "learning_rate": 1.0953385702549345e-06, + "loss": 0.6426, + "step": 26948 + }, + { + "epoch": 0.79, + "learning_rate": 1.0950414156408157e-06, + "loss": 0.5855, + "step": 26949 + }, + { + "epoch": 0.79, + "learning_rate": 1.0947442963830347e-06, + "loss": 0.6865, + "step": 26950 + }, + { + "epoch": 0.79, + "learning_rate": 1.0944472124842797e-06, + "loss": 0.603, + "step": 26951 + }, + { + "epoch": 0.79, + "learning_rate": 1.0941501639472418e-06, + "loss": 0.5929, + "step": 26952 + }, + { + "epoch": 0.79, + "learning_rate": 1.0938531507746103e-06, + "loss": 0.528, + "step": 26953 + }, + { + "epoch": 0.79, + "learning_rate": 1.0935561729690763e-06, + "loss": 0.6783, + "step": 26954 + }, + { + "epoch": 0.79, + "learning_rate": 1.0932592305333257e-06, + "loss": 0.7529, + "step": 26955 + }, + { + "epoch": 0.79, + "learning_rate": 1.0929623234700499e-06, + "loss": 0.8898, + "step": 26956 + }, + { + "epoch": 0.79, + "learning_rate": 1.092665451781934e-06, + "loss": 0.6851, + "step": 26957 + }, + { + "epoch": 0.79, + "learning_rate": 1.0923686154716695e-06, + "loss": 0.5922, + "step": 26958 + }, + { + "epoch": 0.79, + "learning_rate": 1.0920718145419407e-06, + "loss": 0.6639, + "step": 26959 + }, + { + "epoch": 0.79, + "learning_rate": 1.0917750489954375e-06, + "loss": 0.6962, + "step": 26960 + }, + { + "epoch": 0.79, + "learning_rate": 1.0914783188348443e-06, + "loss": 0.615, + "step": 26961 + }, + { + "epoch": 0.79, + "learning_rate": 1.0911816240628497e-06, + "loss": 0.6574, + "step": 26962 + }, + { + "epoch": 0.79, + "learning_rate": 1.0908849646821407e-06, + "loss": 0.7274, + "step": 26963 + }, + { + "epoch": 0.79, + "learning_rate": 1.0905883406954003e-06, + "loss": 0.7812, + "step": 26964 + }, + { + "epoch": 0.79, + "learning_rate": 1.090291752105318e-06, + "loss": 0.7576, + "step": 26965 + }, + { + "epoch": 0.79, + "learning_rate": 1.0899951989145757e-06, + "loss": 0.9365, + "step": 26966 + }, + { + "epoch": 0.79, + "learning_rate": 1.0896986811258614e-06, + "loss": 0.8521, + "step": 26967 + }, + { + "epoch": 0.79, + "learning_rate": 1.089402198741857e-06, + "loss": 0.7108, + "step": 26968 + }, + { + "epoch": 0.79, + "learning_rate": 1.0891057517652499e-06, + "loss": 0.5425, + "step": 26969 + }, + { + "epoch": 0.79, + "learning_rate": 1.088809340198721e-06, + "loss": 0.756, + "step": 26970 + }, + { + "epoch": 0.79, + "learning_rate": 1.088512964044956e-06, + "loss": 0.5491, + "step": 26971 + }, + { + "epoch": 0.79, + "learning_rate": 1.0882166233066376e-06, + "loss": 0.5525, + "step": 26972 + }, + { + "epoch": 0.79, + "learning_rate": 1.087920317986451e-06, + "loss": 0.6921, + "step": 26973 + }, + { + "epoch": 0.79, + "learning_rate": 1.0876240480870764e-06, + "loss": 0.5526, + "step": 26974 + }, + { + "epoch": 0.79, + "learning_rate": 1.0873278136111982e-06, + "loss": 0.8551, + "step": 26975 + }, + { + "epoch": 0.79, + "learning_rate": 1.0870316145614967e-06, + "loss": 0.5286, + "step": 26976 + }, + { + "epoch": 0.79, + "learning_rate": 1.0867354509406559e-06, + "loss": 0.534, + "step": 26977 + }, + { + "epoch": 0.79, + "learning_rate": 1.0864393227513549e-06, + "loss": 0.7981, + "step": 26978 + }, + { + "epoch": 0.79, + "learning_rate": 1.086143229996277e-06, + "loss": 0.6456, + "step": 26979 + }, + { + "epoch": 0.79, + "learning_rate": 1.0858471726781012e-06, + "loss": 0.5595, + "step": 26980 + }, + { + "epoch": 0.79, + "learning_rate": 1.0855511507995092e-06, + "loss": 0.6032, + "step": 26981 + }, + { + "epoch": 0.79, + "learning_rate": 1.0852551643631825e-06, + "loss": 0.7742, + "step": 26982 + }, + { + "epoch": 0.79, + "learning_rate": 1.0849592133717985e-06, + "loss": 0.7796, + "step": 26983 + }, + { + "epoch": 0.79, + "learning_rate": 1.0846632978280392e-06, + "loss": 0.6355, + "step": 26984 + }, + { + "epoch": 0.79, + "learning_rate": 1.0843674177345815e-06, + "loss": 0.8225, + "step": 26985 + }, + { + "epoch": 0.79, + "learning_rate": 1.0840715730941065e-06, + "loss": 0.4736, + "step": 26986 + }, + { + "epoch": 0.79, + "learning_rate": 1.083775763909291e-06, + "loss": 0.8012, + "step": 26987 + }, + { + "epoch": 0.79, + "learning_rate": 1.0834799901828153e-06, + "loss": 0.7396, + "step": 26988 + }, + { + "epoch": 0.79, + "learning_rate": 1.0831842519173547e-06, + "loss": 0.7727, + "step": 26989 + }, + { + "epoch": 0.79, + "learning_rate": 1.08288854911559e-06, + "loss": 0.7461, + "step": 26990 + }, + { + "epoch": 0.79, + "learning_rate": 1.0825928817801946e-06, + "loss": 0.6928, + "step": 26991 + }, + { + "epoch": 0.79, + "learning_rate": 1.0822972499138506e-06, + "loss": 0.4511, + "step": 26992 + }, + { + "epoch": 0.79, + "learning_rate": 1.08200165351923e-06, + "loss": 0.8455, + "step": 26993 + }, + { + "epoch": 0.79, + "learning_rate": 1.0817060925990137e-06, + "loss": 0.7837, + "step": 26994 + }, + { + "epoch": 0.79, + "learning_rate": 1.0814105671558734e-06, + "loss": 0.8086, + "step": 26995 + }, + { + "epoch": 0.79, + "learning_rate": 1.0811150771924883e-06, + "loss": 0.9263, + "step": 26996 + }, + { + "epoch": 0.79, + "learning_rate": 1.0808196227115309e-06, + "loss": 0.546, + "step": 26997 + }, + { + "epoch": 0.79, + "learning_rate": 1.0805242037156794e-06, + "loss": 0.759, + "step": 26998 + }, + { + "epoch": 0.79, + "learning_rate": 1.080228820207605e-06, + "loss": 0.7428, + "step": 26999 + }, + { + "epoch": 0.79, + "learning_rate": 1.0799334721899862e-06, + "loss": 0.5068, + "step": 27000 + }, + { + "epoch": 0.79, + "learning_rate": 1.079638159665493e-06, + "loss": 0.7153, + "step": 27001 + }, + { + "epoch": 0.79, + "learning_rate": 1.0793428826368018e-06, + "loss": 0.7809, + "step": 27002 + }, + { + "epoch": 0.79, + "learning_rate": 1.0790476411065865e-06, + "loss": 0.4859, + "step": 27003 + }, + { + "epoch": 0.79, + "learning_rate": 1.078752435077518e-06, + "loss": 0.6768, + "step": 27004 + }, + { + "epoch": 0.79, + "learning_rate": 1.0784572645522724e-06, + "loss": 0.8587, + "step": 27005 + }, + { + "epoch": 0.79, + "learning_rate": 1.0781621295335182e-06, + "loss": 0.6024, + "step": 27006 + }, + { + "epoch": 0.79, + "learning_rate": 1.0778670300239314e-06, + "loss": 0.6854, + "step": 27007 + }, + { + "epoch": 0.79, + "learning_rate": 1.0775719660261814e-06, + "loss": 0.7062, + "step": 27008 + }, + { + "epoch": 0.79, + "learning_rate": 1.0772769375429415e-06, + "loss": 0.6804, + "step": 27009 + }, + { + "epoch": 0.79, + "learning_rate": 1.0769819445768804e-06, + "loss": 0.8091, + "step": 27010 + }, + { + "epoch": 0.79, + "learning_rate": 1.0766869871306713e-06, + "loss": 0.7541, + "step": 27011 + }, + { + "epoch": 0.79, + "learning_rate": 1.0763920652069836e-06, + "loss": 0.6614, + "step": 27012 + }, + { + "epoch": 0.79, + "learning_rate": 1.07609717880849e-06, + "loss": 0.7588, + "step": 27013 + }, + { + "epoch": 0.79, + "learning_rate": 1.0758023279378578e-06, + "loss": 0.6534, + "step": 27014 + }, + { + "epoch": 0.79, + "learning_rate": 1.0755075125977582e-06, + "loss": 0.7648, + "step": 27015 + }, + { + "epoch": 0.79, + "learning_rate": 1.0752127327908585e-06, + "loss": 0.7044, + "step": 27016 + }, + { + "epoch": 0.79, + "learning_rate": 1.0749179885198302e-06, + "loss": 0.8839, + "step": 27017 + }, + { + "epoch": 0.79, + "learning_rate": 1.0746232797873401e-06, + "loss": 0.7665, + "step": 27018 + }, + { + "epoch": 0.79, + "learning_rate": 1.074328606596058e-06, + "loss": 0.6955, + "step": 27019 + }, + { + "epoch": 0.79, + "learning_rate": 1.07403396894865e-06, + "loss": 0.8059, + "step": 27020 + }, + { + "epoch": 0.79, + "learning_rate": 1.0737393668477852e-06, + "loss": 0.8157, + "step": 27021 + }, + { + "epoch": 0.79, + "learning_rate": 1.0734448002961323e-06, + "loss": 0.6913, + "step": 27022 + }, + { + "epoch": 0.79, + "learning_rate": 1.0731502692963553e-06, + "loss": 0.6659, + "step": 27023 + }, + { + "epoch": 0.79, + "learning_rate": 1.0728557738511236e-06, + "loss": 0.862, + "step": 27024 + }, + { + "epoch": 0.79, + "learning_rate": 1.0725613139631013e-06, + "loss": 0.9999, + "step": 27025 + }, + { + "epoch": 0.79, + "learning_rate": 1.0722668896349574e-06, + "loss": 0.7777, + "step": 27026 + }, + { + "epoch": 0.79, + "learning_rate": 1.0719725008693549e-06, + "loss": 0.8339, + "step": 27027 + }, + { + "epoch": 0.79, + "learning_rate": 1.0716781476689613e-06, + "loss": 0.562, + "step": 27028 + }, + { + "epoch": 0.79, + "learning_rate": 1.0713838300364394e-06, + "loss": 0.6584, + "step": 27029 + }, + { + "epoch": 0.79, + "learning_rate": 1.0710895479744554e-06, + "loss": 0.8978, + "step": 27030 + }, + { + "epoch": 0.79, + "learning_rate": 1.0707953014856743e-06, + "loss": 0.6953, + "step": 27031 + }, + { + "epoch": 0.79, + "learning_rate": 1.0705010905727608e-06, + "loss": 0.6257, + "step": 27032 + }, + { + "epoch": 0.79, + "learning_rate": 1.0702069152383766e-06, + "loss": 0.8643, + "step": 27033 + }, + { + "epoch": 0.79, + "learning_rate": 1.0699127754851874e-06, + "loss": 0.8337, + "step": 27034 + }, + { + "epoch": 0.79, + "learning_rate": 1.069618671315854e-06, + "loss": 0.5465, + "step": 27035 + }, + { + "epoch": 0.79, + "learning_rate": 1.0693246027330428e-06, + "loss": 0.6212, + "step": 27036 + }, + { + "epoch": 0.79, + "learning_rate": 1.0690305697394122e-06, + "loss": 0.8105, + "step": 27037 + }, + { + "epoch": 0.79, + "learning_rate": 1.0687365723376281e-06, + "loss": 0.7263, + "step": 27038 + }, + { + "epoch": 0.79, + "learning_rate": 1.0684426105303491e-06, + "loss": 0.7622, + "step": 27039 + }, + { + "epoch": 0.79, + "learning_rate": 1.0681486843202388e-06, + "loss": 0.702, + "step": 27040 + }, + { + "epoch": 0.79, + "learning_rate": 1.0678547937099582e-06, + "loss": 0.6377, + "step": 27041 + }, + { + "epoch": 0.79, + "learning_rate": 1.067560938702169e-06, + "loss": 0.7608, + "step": 27042 + }, + { + "epoch": 0.79, + "learning_rate": 1.0672671192995316e-06, + "loss": 0.8385, + "step": 27043 + }, + { + "epoch": 0.79, + "learning_rate": 1.066973335504704e-06, + "loss": 0.784, + "step": 27044 + }, + { + "epoch": 0.79, + "learning_rate": 1.0666795873203494e-06, + "loss": 0.8154, + "step": 27045 + }, + { + "epoch": 0.79, + "learning_rate": 1.0663858747491245e-06, + "loss": 0.7312, + "step": 27046 + }, + { + "epoch": 0.79, + "learning_rate": 1.0660921977936917e-06, + "loss": 0.9306, + "step": 27047 + }, + { + "epoch": 0.79, + "learning_rate": 1.065798556456707e-06, + "loss": 0.6983, + "step": 27048 + }, + { + "epoch": 0.79, + "learning_rate": 1.0655049507408321e-06, + "loss": 0.7281, + "step": 27049 + }, + { + "epoch": 0.79, + "learning_rate": 1.0652113806487207e-06, + "loss": 0.768, + "step": 27050 + }, + { + "epoch": 0.79, + "learning_rate": 1.0649178461830367e-06, + "loss": 0.7073, + "step": 27051 + }, + { + "epoch": 0.79, + "learning_rate": 1.0646243473464336e-06, + "loss": 0.5793, + "step": 27052 + }, + { + "epoch": 0.79, + "learning_rate": 1.0643308841415717e-06, + "loss": 0.6229, + "step": 27053 + }, + { + "epoch": 0.79, + "learning_rate": 1.0640374565711054e-06, + "loss": 0.9288, + "step": 27054 + }, + { + "epoch": 0.79, + "learning_rate": 1.0637440646376939e-06, + "loss": 0.6107, + "step": 27055 + }, + { + "epoch": 0.79, + "learning_rate": 1.0634507083439915e-06, + "loss": 0.9237, + "step": 27056 + }, + { + "epoch": 0.79, + "learning_rate": 1.063157387692656e-06, + "loss": 0.5739, + "step": 27057 + }, + { + "epoch": 0.79, + "learning_rate": 1.0628641026863413e-06, + "loss": 0.651, + "step": 27058 + }, + { + "epoch": 0.79, + "learning_rate": 1.0625708533277057e-06, + "loss": 0.7895, + "step": 27059 + }, + { + "epoch": 0.79, + "learning_rate": 1.0622776396193995e-06, + "loss": 0.6426, + "step": 27060 + }, + { + "epoch": 0.8, + "learning_rate": 1.0619844615640835e-06, + "loss": 0.81, + "step": 27061 + }, + { + "epoch": 0.8, + "learning_rate": 1.061691319164408e-06, + "loss": 0.5674, + "step": 27062 + }, + { + "epoch": 0.8, + "learning_rate": 1.0613982124230294e-06, + "loss": 0.576, + "step": 27063 + }, + { + "epoch": 0.8, + "learning_rate": 1.0611051413425998e-06, + "loss": 0.7894, + "step": 27064 + }, + { + "epoch": 0.8, + "learning_rate": 1.0608121059257749e-06, + "loss": 0.6086, + "step": 27065 + }, + { + "epoch": 0.8, + "learning_rate": 1.060519106175205e-06, + "loss": 0.6889, + "step": 27066 + }, + { + "epoch": 0.8, + "learning_rate": 1.0602261420935467e-06, + "loss": 0.8342, + "step": 27067 + }, + { + "epoch": 0.8, + "learning_rate": 1.05993321368345e-06, + "loss": 0.7439, + "step": 27068 + }, + { + "epoch": 0.8, + "learning_rate": 1.059640320947566e-06, + "loss": 0.608, + "step": 27069 + }, + { + "epoch": 0.8, + "learning_rate": 1.0593474638885482e-06, + "loss": 0.7041, + "step": 27070 + }, + { + "epoch": 0.8, + "learning_rate": 1.0590546425090488e-06, + "loss": 0.8822, + "step": 27071 + }, + { + "epoch": 0.8, + "learning_rate": 1.0587618568117191e-06, + "loss": 0.6922, + "step": 27072 + }, + { + "epoch": 0.8, + "learning_rate": 1.0584691067992087e-06, + "loss": 0.9591, + "step": 27073 + }, + { + "epoch": 0.8, + "learning_rate": 1.0581763924741695e-06, + "loss": 0.9773, + "step": 27074 + }, + { + "epoch": 0.8, + "learning_rate": 1.0578837138392506e-06, + "loss": 0.6978, + "step": 27075 + }, + { + "epoch": 0.8, + "learning_rate": 1.0575910708971039e-06, + "loss": 0.6355, + "step": 27076 + }, + { + "epoch": 0.8, + "learning_rate": 1.0572984636503759e-06, + "loss": 0.7424, + "step": 27077 + }, + { + "epoch": 0.8, + "learning_rate": 1.0570058921017195e-06, + "loss": 0.6359, + "step": 27078 + }, + { + "epoch": 0.8, + "learning_rate": 1.0567133562537807e-06, + "loss": 0.8129, + "step": 27079 + }, + { + "epoch": 0.8, + "learning_rate": 1.0564208561092092e-06, + "loss": 0.7936, + "step": 27080 + }, + { + "epoch": 0.8, + "learning_rate": 1.056128391670654e-06, + "loss": 0.7111, + "step": 27081 + }, + { + "epoch": 0.8, + "learning_rate": 1.0558359629407638e-06, + "loss": 0.9328, + "step": 27082 + }, + { + "epoch": 0.8, + "learning_rate": 1.055543569922184e-06, + "loss": 0.7272, + "step": 27083 + }, + { + "epoch": 0.8, + "learning_rate": 1.0552512126175647e-06, + "loss": 0.8552, + "step": 27084 + }, + { + "epoch": 0.8, + "learning_rate": 1.05495889102955e-06, + "loss": 0.5638, + "step": 27085 + }, + { + "epoch": 0.8, + "learning_rate": 1.0546666051607896e-06, + "loss": 0.9639, + "step": 27086 + }, + { + "epoch": 0.8, + "learning_rate": 1.0543743550139274e-06, + "loss": 0.7267, + "step": 27087 + }, + { + "epoch": 0.8, + "learning_rate": 1.0540821405916112e-06, + "loss": 0.5272, + "step": 27088 + }, + { + "epoch": 0.8, + "learning_rate": 1.0537899618964858e-06, + "loss": 0.7051, + "step": 27089 + }, + { + "epoch": 0.8, + "learning_rate": 1.0534978189311968e-06, + "loss": 0.8559, + "step": 27090 + }, + { + "epoch": 0.8, + "learning_rate": 1.05320571169839e-06, + "loss": 1.036, + "step": 27091 + }, + { + "epoch": 0.8, + "learning_rate": 1.0529136402007096e-06, + "loss": 0.6596, + "step": 27092 + }, + { + "epoch": 0.8, + "learning_rate": 1.0526216044408011e-06, + "loss": 0.687, + "step": 27093 + }, + { + "epoch": 0.8, + "learning_rate": 1.052329604421306e-06, + "loss": 0.734, + "step": 27094 + }, + { + "epoch": 0.8, + "learning_rate": 1.0520376401448716e-06, + "loss": 1.0586, + "step": 27095 + }, + { + "epoch": 0.8, + "learning_rate": 1.0517457116141388e-06, + "loss": 0.7333, + "step": 27096 + }, + { + "epoch": 0.8, + "learning_rate": 1.0514538188317525e-06, + "loss": 0.8382, + "step": 27097 + }, + { + "epoch": 0.8, + "learning_rate": 1.0511619618003538e-06, + "loss": 0.8512, + "step": 27098 + }, + { + "epoch": 0.8, + "learning_rate": 1.0508701405225857e-06, + "loss": 0.7291, + "step": 27099 + }, + { + "epoch": 0.8, + "learning_rate": 1.050578355001091e-06, + "loss": 0.7271, + "step": 27100 + }, + { + "epoch": 0.8, + "learning_rate": 1.050286605238513e-06, + "loss": 0.9511, + "step": 27101 + }, + { + "epoch": 0.8, + "learning_rate": 1.0499948912374908e-06, + "loss": 0.8639, + "step": 27102 + }, + { + "epoch": 0.8, + "learning_rate": 1.0497032130006675e-06, + "loss": 0.6767, + "step": 27103 + }, + { + "epoch": 0.8, + "learning_rate": 1.0494115705306817e-06, + "loss": 0.9469, + "step": 27104 + }, + { + "epoch": 0.8, + "learning_rate": 1.049119963830177e-06, + "loss": 0.7042, + "step": 27105 + }, + { + "epoch": 0.8, + "learning_rate": 1.0488283929017905e-06, + "loss": 0.8176, + "step": 27106 + }, + { + "epoch": 0.8, + "learning_rate": 1.0485368577481653e-06, + "loss": 0.7087, + "step": 27107 + }, + { + "epoch": 0.8, + "learning_rate": 1.0482453583719383e-06, + "loss": 0.7364, + "step": 27108 + }, + { + "epoch": 0.8, + "learning_rate": 1.0479538947757494e-06, + "loss": 0.6869, + "step": 27109 + }, + { + "epoch": 0.8, + "learning_rate": 1.0476624669622397e-06, + "loss": 0.8232, + "step": 27110 + }, + { + "epoch": 0.8, + "learning_rate": 1.0473710749340455e-06, + "loss": 0.8703, + "step": 27111 + }, + { + "epoch": 0.8, + "learning_rate": 1.0470797186938064e-06, + "loss": 0.7119, + "step": 27112 + }, + { + "epoch": 0.8, + "learning_rate": 1.046788398244159e-06, + "loss": 0.7515, + "step": 27113 + }, + { + "epoch": 0.8, + "learning_rate": 1.0464971135877433e-06, + "loss": 0.6744, + "step": 27114 + }, + { + "epoch": 0.8, + "learning_rate": 1.0462058647271938e-06, + "loss": 0.706, + "step": 27115 + }, + { + "epoch": 0.8, + "learning_rate": 1.0459146516651503e-06, + "loss": 0.447, + "step": 27116 + }, + { + "epoch": 0.8, + "learning_rate": 1.0456234744042465e-06, + "loss": 0.9179, + "step": 27117 + }, + { + "epoch": 0.8, + "learning_rate": 1.0453323329471221e-06, + "loss": 0.7742, + "step": 27118 + }, + { + "epoch": 0.8, + "learning_rate": 1.045041227296409e-06, + "loss": 0.6221, + "step": 27119 + }, + { + "epoch": 0.8, + "learning_rate": 1.0447501574547481e-06, + "loss": 0.7295, + "step": 27120 + }, + { + "epoch": 0.8, + "learning_rate": 1.0444591234247703e-06, + "loss": 0.6596, + "step": 27121 + }, + { + "epoch": 0.8, + "learning_rate": 1.0441681252091146e-06, + "loss": 0.4383, + "step": 27122 + }, + { + "epoch": 0.8, + "learning_rate": 1.0438771628104117e-06, + "loss": 0.6074, + "step": 27123 + }, + { + "epoch": 0.8, + "learning_rate": 1.0435862362312998e-06, + "loss": 0.6496, + "step": 27124 + }, + { + "epoch": 0.8, + "learning_rate": 1.04329534547441e-06, + "loss": 0.6519, + "step": 27125 + }, + { + "epoch": 0.8, + "learning_rate": 1.043004490542378e-06, + "loss": 0.7997, + "step": 27126 + }, + { + "epoch": 0.8, + "learning_rate": 1.0427136714378361e-06, + "loss": 0.7971, + "step": 27127 + }, + { + "epoch": 0.8, + "learning_rate": 1.0424228881634185e-06, + "loss": 0.5809, + "step": 27128 + }, + { + "epoch": 0.8, + "learning_rate": 1.0421321407217566e-06, + "loss": 0.6255, + "step": 27129 + }, + { + "epoch": 0.8, + "learning_rate": 1.0418414291154838e-06, + "loss": 0.5143, + "step": 27130 + }, + { + "epoch": 0.8, + "learning_rate": 1.0415507533472336e-06, + "loss": 0.6495, + "step": 27131 + }, + { + "epoch": 0.8, + "learning_rate": 1.0412601134196349e-06, + "loss": 0.8066, + "step": 27132 + }, + { + "epoch": 0.8, + "learning_rate": 1.0409695093353222e-06, + "loss": 0.5707, + "step": 27133 + }, + { + "epoch": 0.8, + "learning_rate": 1.0406789410969236e-06, + "loss": 0.7041, + "step": 27134 + }, + { + "epoch": 0.8, + "learning_rate": 1.0403884087070732e-06, + "loss": 0.6214, + "step": 27135 + }, + { + "epoch": 0.8, + "learning_rate": 1.0400979121683985e-06, + "loss": 0.4811, + "step": 27136 + }, + { + "epoch": 0.8, + "learning_rate": 1.0398074514835326e-06, + "loss": 0.6141, + "step": 27137 + }, + { + "epoch": 0.8, + "learning_rate": 1.039517026655103e-06, + "loss": 0.795, + "step": 27138 + }, + { + "epoch": 0.8, + "learning_rate": 1.0392266376857402e-06, + "loss": 0.864, + "step": 27139 + }, + { + "epoch": 0.8, + "learning_rate": 1.0389362845780731e-06, + "loss": 0.9381, + "step": 27140 + }, + { + "epoch": 0.8, + "learning_rate": 1.0386459673347327e-06, + "loss": 0.8836, + "step": 27141 + }, + { + "epoch": 0.8, + "learning_rate": 1.0383556859583443e-06, + "loss": 0.7324, + "step": 27142 + }, + { + "epoch": 0.8, + "learning_rate": 1.038065440451539e-06, + "loss": 0.6966, + "step": 27143 + }, + { + "epoch": 0.8, + "learning_rate": 1.0377752308169425e-06, + "loss": 0.805, + "step": 27144 + }, + { + "epoch": 0.8, + "learning_rate": 1.0374850570571848e-06, + "loss": 0.6848, + "step": 27145 + }, + { + "epoch": 0.8, + "learning_rate": 1.0371949191748904e-06, + "loss": 0.5821, + "step": 27146 + }, + { + "epoch": 0.8, + "learning_rate": 1.0369048171726886e-06, + "loss": 0.5258, + "step": 27147 + }, + { + "epoch": 0.8, + "learning_rate": 1.0366147510532042e-06, + "loss": 0.7572, + "step": 27148 + }, + { + "epoch": 0.8, + "learning_rate": 1.0363247208190646e-06, + "loss": 0.6869, + "step": 27149 + }, + { + "epoch": 0.8, + "learning_rate": 1.036034726472897e-06, + "loss": 0.6685, + "step": 27150 + }, + { + "epoch": 0.8, + "learning_rate": 1.0357447680173244e-06, + "loss": 0.6829, + "step": 27151 + }, + { + "epoch": 0.8, + "learning_rate": 1.0354548454549751e-06, + "loss": 0.5896, + "step": 27152 + }, + { + "epoch": 0.8, + "learning_rate": 1.0351649587884704e-06, + "loss": 0.881, + "step": 27153 + }, + { + "epoch": 0.8, + "learning_rate": 1.0348751080204395e-06, + "loss": 0.7323, + "step": 27154 + }, + { + "epoch": 0.8, + "learning_rate": 1.0345852931535022e-06, + "loss": 0.6564, + "step": 27155 + }, + { + "epoch": 0.8, + "learning_rate": 1.034295514190286e-06, + "loss": 0.6942, + "step": 27156 + }, + { + "epoch": 0.8, + "learning_rate": 1.0340057711334128e-06, + "loss": 0.6123, + "step": 27157 + }, + { + "epoch": 0.8, + "learning_rate": 1.033716063985507e-06, + "loss": 0.6146, + "step": 27158 + }, + { + "epoch": 0.8, + "learning_rate": 1.033426392749189e-06, + "loss": 0.6225, + "step": 27159 + }, + { + "epoch": 0.8, + "learning_rate": 1.0331367574270867e-06, + "loss": 0.7145, + "step": 27160 + }, + { + "epoch": 0.8, + "learning_rate": 1.032847158021818e-06, + "loss": 1.0036, + "step": 27161 + }, + { + "epoch": 0.8, + "learning_rate": 1.0325575945360077e-06, + "loss": 0.6493, + "step": 27162 + }, + { + "epoch": 0.8, + "learning_rate": 1.032268066972275e-06, + "loss": 0.7118, + "step": 27163 + }, + { + "epoch": 0.8, + "learning_rate": 1.0319785753332445e-06, + "loss": 0.5829, + "step": 27164 + }, + { + "epoch": 0.8, + "learning_rate": 1.0316891196215346e-06, + "loss": 0.5374, + "step": 27165 + }, + { + "epoch": 0.8, + "learning_rate": 1.031399699839768e-06, + "loss": 0.6985, + "step": 27166 + }, + { + "epoch": 0.8, + "learning_rate": 1.0311103159905627e-06, + "loss": 0.6931, + "step": 27167 + }, + { + "epoch": 0.8, + "learning_rate": 1.0308209680765408e-06, + "loss": 0.6498, + "step": 27168 + }, + { + "epoch": 0.8, + "learning_rate": 1.0305316561003232e-06, + "loss": 0.6732, + "step": 27169 + }, + { + "epoch": 0.8, + "learning_rate": 1.0302423800645262e-06, + "loss": 0.6124, + "step": 27170 + }, + { + "epoch": 0.8, + "learning_rate": 1.0299531399717721e-06, + "loss": 0.5753, + "step": 27171 + }, + { + "epoch": 0.8, + "learning_rate": 1.0296639358246768e-06, + "loss": 0.8162, + "step": 27172 + }, + { + "epoch": 0.8, + "learning_rate": 1.029374767625862e-06, + "loss": 0.5432, + "step": 27173 + }, + { + "epoch": 0.8, + "learning_rate": 1.0290856353779432e-06, + "loss": 0.7853, + "step": 27174 + }, + { + "epoch": 0.8, + "learning_rate": 1.0287965390835404e-06, + "loss": 0.7253, + "step": 27175 + }, + { + "epoch": 0.8, + "learning_rate": 1.0285074787452687e-06, + "loss": 0.4503, + "step": 27176 + }, + { + "epoch": 0.8, + "learning_rate": 1.0282184543657482e-06, + "loss": 0.6914, + "step": 27177 + }, + { + "epoch": 0.8, + "learning_rate": 1.0279294659475914e-06, + "loss": 0.837, + "step": 27178 + }, + { + "epoch": 0.8, + "learning_rate": 1.0276405134934202e-06, + "loss": 0.7082, + "step": 27179 + }, + { + "epoch": 0.8, + "learning_rate": 1.0273515970058472e-06, + "loss": 0.7341, + "step": 27180 + }, + { + "epoch": 0.8, + "learning_rate": 1.0270627164874907e-06, + "loss": 0.7418, + "step": 27181 + }, + { + "epoch": 0.8, + "learning_rate": 1.0267738719409636e-06, + "loss": 0.5144, + "step": 27182 + }, + { + "epoch": 0.8, + "learning_rate": 1.0264850633688845e-06, + "loss": 0.6364, + "step": 27183 + }, + { + "epoch": 0.8, + "learning_rate": 1.0261962907738649e-06, + "loss": 0.4779, + "step": 27184 + }, + { + "epoch": 0.8, + "learning_rate": 1.0259075541585223e-06, + "loss": 0.9007, + "step": 27185 + }, + { + "epoch": 0.8, + "learning_rate": 1.025618853525468e-06, + "loss": 0.781, + "step": 27186 + }, + { + "epoch": 0.8, + "learning_rate": 1.0253301888773192e-06, + "loss": 0.4825, + "step": 27187 + }, + { + "epoch": 0.8, + "learning_rate": 1.0250415602166864e-06, + "loss": 0.7163, + "step": 27188 + }, + { + "epoch": 0.8, + "learning_rate": 1.0247529675461847e-06, + "loss": 0.7691, + "step": 27189 + }, + { + "epoch": 0.8, + "learning_rate": 1.0244644108684281e-06, + "loss": 0.6707, + "step": 27190 + }, + { + "epoch": 0.8, + "learning_rate": 1.0241758901860265e-06, + "loss": 0.8529, + "step": 27191 + }, + { + "epoch": 0.8, + "learning_rate": 1.0238874055015951e-06, + "loss": 0.8191, + "step": 27192 + }, + { + "epoch": 0.8, + "learning_rate": 1.0235989568177435e-06, + "loss": 0.6948, + "step": 27193 + }, + { + "epoch": 0.8, + "learning_rate": 1.0233105441370854e-06, + "loss": 0.7186, + "step": 27194 + }, + { + "epoch": 0.8, + "learning_rate": 1.0230221674622297e-06, + "loss": 0.668, + "step": 27195 + }, + { + "epoch": 0.8, + "learning_rate": 1.0227338267957903e-06, + "loss": 0.6257, + "step": 27196 + }, + { + "epoch": 0.8, + "learning_rate": 1.0224455221403757e-06, + "loss": 0.7242, + "step": 27197 + }, + { + "epoch": 0.8, + "learning_rate": 1.0221572534985964e-06, + "loss": 0.4029, + "step": 27198 + }, + { + "epoch": 0.8, + "learning_rate": 1.021869020873063e-06, + "loss": 0.5652, + "step": 27199 + }, + { + "epoch": 0.8, + "learning_rate": 1.0215808242663872e-06, + "loss": 0.8061, + "step": 27200 + }, + { + "epoch": 0.8, + "learning_rate": 1.0212926636811748e-06, + "loss": 0.7358, + "step": 27201 + }, + { + "epoch": 0.8, + "learning_rate": 1.021004539120038e-06, + "loss": 0.7168, + "step": 27202 + }, + { + "epoch": 0.8, + "learning_rate": 1.020716450585582e-06, + "loss": 0.6232, + "step": 27203 + }, + { + "epoch": 0.8, + "learning_rate": 1.0204283980804197e-06, + "loss": 0.7527, + "step": 27204 + }, + { + "epoch": 0.8, + "learning_rate": 1.0201403816071554e-06, + "loss": 0.6345, + "step": 27205 + }, + { + "epoch": 0.8, + "learning_rate": 1.019852401168399e-06, + "loss": 0.763, + "step": 27206 + }, + { + "epoch": 0.8, + "learning_rate": 1.0195644567667562e-06, + "loss": 0.7768, + "step": 27207 + }, + { + "epoch": 0.8, + "learning_rate": 1.019276548404835e-06, + "loss": 0.4912, + "step": 27208 + }, + { + "epoch": 0.8, + "learning_rate": 1.018988676085244e-06, + "loss": 0.5925, + "step": 27209 + }, + { + "epoch": 0.8, + "learning_rate": 1.0187008398105862e-06, + "loss": 0.7789, + "step": 27210 + }, + { + "epoch": 0.8, + "learning_rate": 1.0184130395834713e-06, + "loss": 0.7244, + "step": 27211 + }, + { + "epoch": 0.8, + "learning_rate": 1.0181252754065012e-06, + "loss": 0.7054, + "step": 27212 + }, + { + "epoch": 0.8, + "learning_rate": 1.0178375472822855e-06, + "loss": 0.85, + "step": 27213 + }, + { + "epoch": 0.8, + "learning_rate": 1.0175498552134255e-06, + "loss": 0.7176, + "step": 27214 + }, + { + "epoch": 0.8, + "learning_rate": 1.01726219920253e-06, + "loss": 0.8797, + "step": 27215 + }, + { + "epoch": 0.8, + "learning_rate": 1.016974579252199e-06, + "loss": 0.8615, + "step": 27216 + }, + { + "epoch": 0.8, + "learning_rate": 1.016686995365041e-06, + "loss": 0.7788, + "step": 27217 + }, + { + "epoch": 0.8, + "learning_rate": 1.016399447543655e-06, + "loss": 0.8147, + "step": 27218 + }, + { + "epoch": 0.8, + "learning_rate": 1.01611193579065e-06, + "loss": 0.7727, + "step": 27219 + }, + { + "epoch": 0.8, + "learning_rate": 1.015824460108626e-06, + "loss": 0.6618, + "step": 27220 + }, + { + "epoch": 0.8, + "learning_rate": 1.0155370205001868e-06, + "loss": 0.6786, + "step": 27221 + }, + { + "epoch": 0.8, + "learning_rate": 1.0152496169679338e-06, + "loss": 0.6885, + "step": 27222 + }, + { + "epoch": 0.8, + "learning_rate": 1.0149622495144713e-06, + "loss": 0.8513, + "step": 27223 + }, + { + "epoch": 0.8, + "learning_rate": 1.0146749181423982e-06, + "loss": 0.6626, + "step": 27224 + }, + { + "epoch": 0.8, + "learning_rate": 1.0143876228543193e-06, + "loss": 1.0981, + "step": 27225 + }, + { + "epoch": 0.8, + "learning_rate": 1.014100363652833e-06, + "loss": 0.7808, + "step": 27226 + }, + { + "epoch": 0.8, + "learning_rate": 1.0138131405405417e-06, + "loss": 0.7692, + "step": 27227 + }, + { + "epoch": 0.8, + "learning_rate": 1.013525953520047e-06, + "loss": 0.9115, + "step": 27228 + }, + { + "epoch": 0.8, + "learning_rate": 1.013238802593946e-06, + "loss": 0.7275, + "step": 27229 + }, + { + "epoch": 0.8, + "learning_rate": 1.0129516877648426e-06, + "loss": 0.8673, + "step": 27230 + }, + { + "epoch": 0.8, + "learning_rate": 1.0126646090353332e-06, + "loss": 0.5954, + "step": 27231 + }, + { + "epoch": 0.8, + "learning_rate": 1.0123775664080187e-06, + "loss": 0.5521, + "step": 27232 + }, + { + "epoch": 0.8, + "learning_rate": 1.0120905598854969e-06, + "loss": 0.8744, + "step": 27233 + }, + { + "epoch": 0.8, + "learning_rate": 1.0118035894703682e-06, + "loss": 0.7388, + "step": 27234 + }, + { + "epoch": 0.8, + "learning_rate": 1.0115166551652283e-06, + "loss": 0.6105, + "step": 27235 + }, + { + "epoch": 0.8, + "learning_rate": 1.0112297569726787e-06, + "loss": 0.7524, + "step": 27236 + }, + { + "epoch": 0.8, + "learning_rate": 1.0109428948953116e-06, + "loss": 0.7473, + "step": 27237 + }, + { + "epoch": 0.8, + "learning_rate": 1.0106560689357302e-06, + "loss": 0.6665, + "step": 27238 + }, + { + "epoch": 0.8, + "learning_rate": 1.0103692790965287e-06, + "loss": 0.6465, + "step": 27239 + }, + { + "epoch": 0.8, + "learning_rate": 1.0100825253803044e-06, + "loss": 0.7276, + "step": 27240 + }, + { + "epoch": 0.8, + "learning_rate": 1.0097958077896524e-06, + "loss": 0.5946, + "step": 27241 + }, + { + "epoch": 0.8, + "learning_rate": 1.0095091263271706e-06, + "loss": 0.6211, + "step": 27242 + }, + { + "epoch": 0.8, + "learning_rate": 1.0092224809954526e-06, + "loss": 0.6789, + "step": 27243 + }, + { + "epoch": 0.8, + "learning_rate": 1.0089358717970959e-06, + "loss": 0.9731, + "step": 27244 + }, + { + "epoch": 0.8, + "learning_rate": 1.008649298734693e-06, + "loss": 0.8035, + "step": 27245 + }, + { + "epoch": 0.8, + "learning_rate": 1.0083627618108416e-06, + "loss": 0.7399, + "step": 27246 + }, + { + "epoch": 0.8, + "learning_rate": 1.008076261028133e-06, + "loss": 0.6971, + "step": 27247 + }, + { + "epoch": 0.8, + "learning_rate": 1.007789796389163e-06, + "loss": 0.5437, + "step": 27248 + }, + { + "epoch": 0.8, + "learning_rate": 1.0075033678965263e-06, + "loss": 0.7259, + "step": 27249 + }, + { + "epoch": 0.8, + "learning_rate": 1.0072169755528132e-06, + "loss": 0.7366, + "step": 27250 + }, + { + "epoch": 0.8, + "learning_rate": 1.0069306193606205e-06, + "loss": 0.5963, + "step": 27251 + }, + { + "epoch": 0.8, + "learning_rate": 1.0066442993225373e-06, + "loss": 0.7444, + "step": 27252 + }, + { + "epoch": 0.8, + "learning_rate": 1.0063580154411596e-06, + "loss": 0.8005, + "step": 27253 + }, + { + "epoch": 0.8, + "learning_rate": 1.0060717677190757e-06, + "loss": 0.9621, + "step": 27254 + }, + { + "epoch": 0.8, + "learning_rate": 1.0057855561588808e-06, + "loss": 0.68, + "step": 27255 + }, + { + "epoch": 0.8, + "learning_rate": 1.005499380763163e-06, + "loss": 0.657, + "step": 27256 + }, + { + "epoch": 0.8, + "learning_rate": 1.0052132415345157e-06, + "loss": 0.6434, + "step": 27257 + }, + { + "epoch": 0.8, + "learning_rate": 1.0049271384755288e-06, + "loss": 0.5387, + "step": 27258 + }, + { + "epoch": 0.8, + "learning_rate": 1.0046410715887945e-06, + "loss": 0.544, + "step": 27259 + }, + { + "epoch": 0.8, + "learning_rate": 1.0043550408769004e-06, + "loss": 0.692, + "step": 27260 + }, + { + "epoch": 0.8, + "learning_rate": 1.0040690463424385e-06, + "loss": 0.7737, + "step": 27261 + }, + { + "epoch": 0.8, + "learning_rate": 1.0037830879879955e-06, + "loss": 0.5892, + "step": 27262 + }, + { + "epoch": 0.8, + "learning_rate": 1.0034971658161635e-06, + "loss": 0.674, + "step": 27263 + }, + { + "epoch": 0.8, + "learning_rate": 1.003211279829529e-06, + "loss": 0.638, + "step": 27264 + }, + { + "epoch": 0.8, + "learning_rate": 1.0029254300306824e-06, + "loss": 0.7469, + "step": 27265 + }, + { + "epoch": 0.8, + "learning_rate": 1.0026396164222096e-06, + "loss": 0.8202, + "step": 27266 + }, + { + "epoch": 0.8, + "learning_rate": 1.0023538390067001e-06, + "loss": 0.6124, + "step": 27267 + }, + { + "epoch": 0.8, + "learning_rate": 1.0020680977867419e-06, + "loss": 0.5269, + "step": 27268 + }, + { + "epoch": 0.8, + "learning_rate": 1.0017823927649194e-06, + "loss": 0.5438, + "step": 27269 + }, + { + "epoch": 0.8, + "learning_rate": 1.0014967239438233e-06, + "loss": 0.5131, + "step": 27270 + }, + { + "epoch": 0.8, + "learning_rate": 1.0012110913260365e-06, + "loss": 0.6823, + "step": 27271 + }, + { + "epoch": 0.8, + "learning_rate": 1.0009254949141484e-06, + "loss": 0.7286, + "step": 27272 + }, + { + "epoch": 0.8, + "learning_rate": 1.0006399347107416e-06, + "loss": 0.5369, + "step": 27273 + }, + { + "epoch": 0.8, + "learning_rate": 1.0003544107184044e-06, + "loss": 0.6015, + "step": 27274 + }, + { + "epoch": 0.8, + "learning_rate": 1.0000689229397198e-06, + "loss": 0.8937, + "step": 27275 + }, + { + "epoch": 0.8, + "learning_rate": 9.997834713772746e-07, + "loss": 0.7918, + "step": 27276 + }, + { + "epoch": 0.8, + "learning_rate": 9.994980560336504e-07, + "loss": 0.694, + "step": 27277 + }, + { + "epoch": 0.8, + "learning_rate": 9.992126769114358e-07, + "loss": 0.6535, + "step": 27278 + }, + { + "epoch": 0.8, + "learning_rate": 9.989273340132105e-07, + "loss": 0.6514, + "step": 27279 + }, + { + "epoch": 0.8, + "learning_rate": 9.98642027341562e-07, + "loss": 0.7369, + "step": 27280 + }, + { + "epoch": 0.8, + "learning_rate": 9.983567568990692e-07, + "loss": 0.5589, + "step": 27281 + }, + { + "epoch": 0.8, + "learning_rate": 9.980715226883191e-07, + "loss": 0.7622, + "step": 27282 + }, + { + "epoch": 0.8, + "learning_rate": 9.977863247118913e-07, + "loss": 0.6108, + "step": 27283 + }, + { + "epoch": 0.8, + "learning_rate": 9.975011629723703e-07, + "loss": 0.8788, + "step": 27284 + }, + { + "epoch": 0.8, + "learning_rate": 9.97216037472335e-07, + "loss": 0.7849, + "step": 27285 + }, + { + "epoch": 0.8, + "learning_rate": 9.969309482143707e-07, + "loss": 0.7906, + "step": 27286 + }, + { + "epoch": 0.8, + "learning_rate": 9.966458952010554e-07, + "loss": 0.6137, + "step": 27287 + }, + { + "epoch": 0.8, + "learning_rate": 9.96360878434971e-07, + "loss": 0.6878, + "step": 27288 + }, + { + "epoch": 0.8, + "learning_rate": 9.960758979187002e-07, + "loss": 0.6223, + "step": 27289 + }, + { + "epoch": 0.8, + "learning_rate": 9.957909536548204e-07, + "loss": 0.7063, + "step": 27290 + }, + { + "epoch": 0.8, + "learning_rate": 9.955060456459137e-07, + "loss": 0.6384, + "step": 27291 + }, + { + "epoch": 0.8, + "learning_rate": 9.952211738945577e-07, + "loss": 0.5561, + "step": 27292 + }, + { + "epoch": 0.8, + "learning_rate": 9.949363384033339e-07, + "loss": 0.8572, + "step": 27293 + }, + { + "epoch": 0.8, + "learning_rate": 9.94651539174819e-07, + "loss": 0.5465, + "step": 27294 + }, + { + "epoch": 0.8, + "learning_rate": 9.943667762115938e-07, + "loss": 0.8155, + "step": 27295 + }, + { + "epoch": 0.8, + "learning_rate": 9.940820495162335e-07, + "loss": 0.989, + "step": 27296 + }, + { + "epoch": 0.8, + "learning_rate": 9.937973590913203e-07, + "loss": 1.2325, + "step": 27297 + }, + { + "epoch": 0.8, + "learning_rate": 9.935127049394284e-07, + "loss": 0.7238, + "step": 27298 + }, + { + "epoch": 0.8, + "learning_rate": 9.932280870631378e-07, + "loss": 0.7199, + "step": 27299 + }, + { + "epoch": 0.8, + "learning_rate": 9.929435054650222e-07, + "loss": 0.5685, + "step": 27300 + }, + { + "epoch": 0.8, + "learning_rate": 9.926589601476622e-07, + "loss": 0.5573, + "step": 27301 + }, + { + "epoch": 0.8, + "learning_rate": 9.923744511136307e-07, + "loss": 0.839, + "step": 27302 + }, + { + "epoch": 0.8, + "learning_rate": 9.920899783655064e-07, + "loss": 0.7252, + "step": 27303 + }, + { + "epoch": 0.8, + "learning_rate": 9.91805541905862e-07, + "loss": 0.6579, + "step": 27304 + }, + { + "epoch": 0.8, + "learning_rate": 9.91521141737276e-07, + "loss": 0.7092, + "step": 27305 + }, + { + "epoch": 0.8, + "learning_rate": 9.912367778623204e-07, + "loss": 0.5173, + "step": 27306 + }, + { + "epoch": 0.8, + "learning_rate": 9.90952450283572e-07, + "loss": 0.6099, + "step": 27307 + }, + { + "epoch": 0.8, + "learning_rate": 9.906681590036055e-07, + "loss": 0.4748, + "step": 27308 + }, + { + "epoch": 0.8, + "learning_rate": 9.90383904024993e-07, + "loss": 0.8636, + "step": 27309 + }, + { + "epoch": 0.8, + "learning_rate": 9.900996853503102e-07, + "loss": 0.8601, + "step": 27310 + }, + { + "epoch": 0.8, + "learning_rate": 9.898155029821283e-07, + "loss": 0.5671, + "step": 27311 + }, + { + "epoch": 0.8, + "learning_rate": 9.89531356923023e-07, + "loss": 0.734, + "step": 27312 + }, + { + "epoch": 0.8, + "learning_rate": 9.892472471755643e-07, + "loss": 0.8354, + "step": 27313 + }, + { + "epoch": 0.8, + "learning_rate": 9.889631737423273e-07, + "loss": 0.5796, + "step": 27314 + }, + { + "epoch": 0.8, + "learning_rate": 9.886791366258808e-07, + "loss": 0.7347, + "step": 27315 + }, + { + "epoch": 0.8, + "learning_rate": 9.88395135828799e-07, + "loss": 0.8592, + "step": 27316 + }, + { + "epoch": 0.8, + "learning_rate": 9.881111713536522e-07, + "loss": 0.7205, + "step": 27317 + }, + { + "epoch": 0.8, + "learning_rate": 9.878272432030134e-07, + "loss": 0.7143, + "step": 27318 + }, + { + "epoch": 0.8, + "learning_rate": 9.875433513794507e-07, + "loss": 0.6704, + "step": 27319 + }, + { + "epoch": 0.8, + "learning_rate": 9.87259495885537e-07, + "loss": 0.6897, + "step": 27320 + }, + { + "epoch": 0.8, + "learning_rate": 9.869756767238397e-07, + "loss": 0.6741, + "step": 27321 + }, + { + "epoch": 0.8, + "learning_rate": 9.866918938969316e-07, + "loss": 0.7014, + "step": 27322 + }, + { + "epoch": 0.8, + "learning_rate": 9.864081474073788e-07, + "loss": 0.9001, + "step": 27323 + }, + { + "epoch": 0.8, + "learning_rate": 9.861244372577534e-07, + "loss": 0.519, + "step": 27324 + }, + { + "epoch": 0.8, + "learning_rate": 9.858407634506216e-07, + "loss": 0.6895, + "step": 27325 + }, + { + "epoch": 0.8, + "learning_rate": 9.855571259885532e-07, + "loss": 0.6049, + "step": 27326 + }, + { + "epoch": 0.8, + "learning_rate": 9.852735248741175e-07, + "loss": 0.7532, + "step": 27327 + }, + { + "epoch": 0.8, + "learning_rate": 9.8498996010988e-07, + "loss": 0.9987, + "step": 27328 + }, + { + "epoch": 0.8, + "learning_rate": 9.8470643169841e-07, + "loss": 0.6975, + "step": 27329 + }, + { + "epoch": 0.8, + "learning_rate": 9.844229396422728e-07, + "loss": 0.7899, + "step": 27330 + }, + { + "epoch": 0.8, + "learning_rate": 9.84139483944037e-07, + "loss": 0.6461, + "step": 27331 + }, + { + "epoch": 0.8, + "learning_rate": 9.838560646062677e-07, + "loss": 0.6151, + "step": 27332 + }, + { + "epoch": 0.8, + "learning_rate": 9.835726816315328e-07, + "loss": 0.7492, + "step": 27333 + }, + { + "epoch": 0.8, + "learning_rate": 9.832893350223948e-07, + "loss": 0.6001, + "step": 27334 + }, + { + "epoch": 0.8, + "learning_rate": 9.830060247814232e-07, + "loss": 0.7007, + "step": 27335 + }, + { + "epoch": 0.8, + "learning_rate": 9.827227509111786e-07, + "loss": 0.7008, + "step": 27336 + }, + { + "epoch": 0.8, + "learning_rate": 9.82439513414231e-07, + "loss": 0.7239, + "step": 27337 + }, + { + "epoch": 0.8, + "learning_rate": 9.821563122931416e-07, + "loss": 0.9408, + "step": 27338 + }, + { + "epoch": 0.8, + "learning_rate": 9.81873147550476e-07, + "loss": 0.7295, + "step": 27339 + }, + { + "epoch": 0.8, + "learning_rate": 9.815900191887962e-07, + "loss": 0.7059, + "step": 27340 + }, + { + "epoch": 0.8, + "learning_rate": 9.813069272106684e-07, + "loss": 0.8209, + "step": 27341 + }, + { + "epoch": 0.8, + "learning_rate": 9.810238716186526e-07, + "loss": 0.7381, + "step": 27342 + }, + { + "epoch": 0.8, + "learning_rate": 9.807408524153144e-07, + "loss": 0.7842, + "step": 27343 + }, + { + "epoch": 0.8, + "learning_rate": 9.804578696032147e-07, + "loss": 0.4563, + "step": 27344 + }, + { + "epoch": 0.8, + "learning_rate": 9.801749231849168e-07, + "loss": 0.5247, + "step": 27345 + }, + { + "epoch": 0.8, + "learning_rate": 9.798920131629809e-07, + "loss": 0.6021, + "step": 27346 + }, + { + "epoch": 0.8, + "learning_rate": 9.796091395399699e-07, + "loss": 0.4543, + "step": 27347 + }, + { + "epoch": 0.8, + "learning_rate": 9.793263023184452e-07, + "loss": 0.9429, + "step": 27348 + }, + { + "epoch": 0.8, + "learning_rate": 9.790435015009664e-07, + "loss": 0.8048, + "step": 27349 + }, + { + "epoch": 0.8, + "learning_rate": 9.78760737090096e-07, + "loss": 0.4212, + "step": 27350 + }, + { + "epoch": 0.8, + "learning_rate": 9.784780090883917e-07, + "loss": 0.7652, + "step": 27351 + }, + { + "epoch": 0.8, + "learning_rate": 9.78195317498416e-07, + "loss": 0.4962, + "step": 27352 + }, + { + "epoch": 0.8, + "learning_rate": 9.779126623227259e-07, + "loss": 0.8226, + "step": 27353 + }, + { + "epoch": 0.8, + "learning_rate": 9.77630043563883e-07, + "loss": 0.781, + "step": 27354 + }, + { + "epoch": 0.8, + "learning_rate": 9.773474612244439e-07, + "loss": 0.8001, + "step": 27355 + }, + { + "epoch": 0.8, + "learning_rate": 9.770649153069677e-07, + "loss": 0.705, + "step": 27356 + }, + { + "epoch": 0.8, + "learning_rate": 9.76782405814014e-07, + "loss": 0.6739, + "step": 27357 + }, + { + "epoch": 0.8, + "learning_rate": 9.764999327481406e-07, + "loss": 0.6168, + "step": 27358 + }, + { + "epoch": 0.8, + "learning_rate": 9.762174961119037e-07, + "loss": 0.82, + "step": 27359 + }, + { + "epoch": 0.8, + "learning_rate": 9.759350959078622e-07, + "loss": 1.1595, + "step": 27360 + }, + { + "epoch": 0.8, + "learning_rate": 9.756527321385707e-07, + "loss": 0.9238, + "step": 27361 + }, + { + "epoch": 0.8, + "learning_rate": 9.753704048065888e-07, + "loss": 0.6817, + "step": 27362 + }, + { + "epoch": 0.8, + "learning_rate": 9.750881139144696e-07, + "loss": 0.7323, + "step": 27363 + }, + { + "epoch": 0.8, + "learning_rate": 9.74805859464772e-07, + "loss": 0.5353, + "step": 27364 + }, + { + "epoch": 0.8, + "learning_rate": 9.745236414600474e-07, + "loss": 0.647, + "step": 27365 + }, + { + "epoch": 0.8, + "learning_rate": 9.74241459902856e-07, + "loss": 0.8258, + "step": 27366 + }, + { + "epoch": 0.8, + "learning_rate": 9.739593147957493e-07, + "loss": 0.6584, + "step": 27367 + }, + { + "epoch": 0.8, + "learning_rate": 9.736772061412847e-07, + "loss": 0.6666, + "step": 27368 + }, + { + "epoch": 0.8, + "learning_rate": 9.733951339420134e-07, + "loss": 0.7784, + "step": 27369 + }, + { + "epoch": 0.8, + "learning_rate": 9.731130982004922e-07, + "loss": 0.7842, + "step": 27370 + }, + { + "epoch": 0.8, + "learning_rate": 9.728310989192736e-07, + "loss": 0.6677, + "step": 27371 + }, + { + "epoch": 0.8, + "learning_rate": 9.725491361009093e-07, + "loss": 0.7622, + "step": 27372 + }, + { + "epoch": 0.8, + "learning_rate": 9.722672097479546e-07, + "loss": 0.6534, + "step": 27373 + }, + { + "epoch": 0.8, + "learning_rate": 9.719853198629597e-07, + "loss": 0.6024, + "step": 27374 + }, + { + "epoch": 0.8, + "learning_rate": 9.717034664484781e-07, + "loss": 0.7087, + "step": 27375 + }, + { + "epoch": 0.8, + "learning_rate": 9.714216495070627e-07, + "loss": 0.8332, + "step": 27376 + }, + { + "epoch": 0.8, + "learning_rate": 9.71139869041265e-07, + "loss": 0.8167, + "step": 27377 + }, + { + "epoch": 0.8, + "learning_rate": 9.708581250536347e-07, + "loss": 0.8178, + "step": 27378 + }, + { + "epoch": 0.8, + "learning_rate": 9.705764175467252e-07, + "loss": 0.6918, + "step": 27379 + }, + { + "epoch": 0.8, + "learning_rate": 9.702947465230838e-07, + "loss": 0.6743, + "step": 27380 + }, + { + "epoch": 0.8, + "learning_rate": 9.700131119852645e-07, + "loss": 0.6952, + "step": 27381 + }, + { + "epoch": 0.8, + "learning_rate": 9.697315139358144e-07, + "loss": 1.0659, + "step": 27382 + }, + { + "epoch": 0.8, + "learning_rate": 9.69449952377285e-07, + "loss": 0.3676, + "step": 27383 + }, + { + "epoch": 0.8, + "learning_rate": 9.691684273122237e-07, + "loss": 0.4775, + "step": 27384 + }, + { + "epoch": 0.8, + "learning_rate": 9.68886938743181e-07, + "loss": 0.8381, + "step": 27385 + }, + { + "epoch": 0.8, + "learning_rate": 9.686054866727046e-07, + "loss": 0.827, + "step": 27386 + }, + { + "epoch": 0.8, + "learning_rate": 9.683240711033449e-07, + "loss": 0.5956, + "step": 27387 + }, + { + "epoch": 0.8, + "learning_rate": 9.680426920376474e-07, + "loss": 0.7741, + "step": 27388 + }, + { + "epoch": 0.8, + "learning_rate": 9.67761349478162e-07, + "loss": 0.7432, + "step": 27389 + }, + { + "epoch": 0.8, + "learning_rate": 9.674800434274333e-07, + "loss": 0.8633, + "step": 27390 + }, + { + "epoch": 0.8, + "learning_rate": 9.671987738880113e-07, + "loss": 0.5306, + "step": 27391 + }, + { + "epoch": 0.8, + "learning_rate": 9.669175408624397e-07, + "loss": 0.8679, + "step": 27392 + }, + { + "epoch": 0.8, + "learning_rate": 9.66636344353268e-07, + "loss": 0.9882, + "step": 27393 + }, + { + "epoch": 0.8, + "learning_rate": 9.663551843630392e-07, + "loss": 0.7037, + "step": 27394 + }, + { + "epoch": 0.8, + "learning_rate": 9.660740608942998e-07, + "loss": 0.4857, + "step": 27395 + }, + { + "epoch": 0.8, + "learning_rate": 9.657929739495976e-07, + "loss": 0.7193, + "step": 27396 + }, + { + "epoch": 0.8, + "learning_rate": 9.65511923531474e-07, + "loss": 0.6837, + "step": 27397 + }, + { + "epoch": 0.8, + "learning_rate": 9.652309096424773e-07, + "loss": 0.673, + "step": 27398 + }, + { + "epoch": 0.8, + "learning_rate": 9.649499322851485e-07, + "loss": 0.5616, + "step": 27399 + }, + { + "epoch": 0.8, + "learning_rate": 9.64668991462034e-07, + "loss": 0.8578, + "step": 27400 + }, + { + "epoch": 0.81, + "learning_rate": 9.643880871756756e-07, + "loss": 0.799, + "step": 27401 + }, + { + "epoch": 0.81, + "learning_rate": 9.641072194286188e-07, + "loss": 0.4795, + "step": 27402 + }, + { + "epoch": 0.81, + "learning_rate": 9.638263882234045e-07, + "loss": 0.4242, + "step": 27403 + }, + { + "epoch": 0.81, + "learning_rate": 9.635455935625775e-07, + "loss": 0.4889, + "step": 27404 + }, + { + "epoch": 0.81, + "learning_rate": 9.632648354486763e-07, + "loss": 0.5899, + "step": 27405 + }, + { + "epoch": 0.81, + "learning_rate": 9.629841138842488e-07, + "loss": 0.7146, + "step": 27406 + }, + { + "epoch": 0.81, + "learning_rate": 9.627034288718318e-07, + "loss": 0.6341, + "step": 27407 + }, + { + "epoch": 0.81, + "learning_rate": 9.624227804139701e-07, + "loss": 0.8076, + "step": 27408 + }, + { + "epoch": 0.81, + "learning_rate": 9.621421685132022e-07, + "loss": 0.7343, + "step": 27409 + }, + { + "epoch": 0.81, + "learning_rate": 9.61861593172071e-07, + "loss": 0.7788, + "step": 27410 + }, + { + "epoch": 0.81, + "learning_rate": 9.615810543931136e-07, + "loss": 0.6219, + "step": 27411 + }, + { + "epoch": 0.81, + "learning_rate": 9.613005521788742e-07, + "loss": 0.6304, + "step": 27412 + }, + { + "epoch": 0.81, + "learning_rate": 9.610200865318893e-07, + "loss": 0.9601, + "step": 27413 + }, + { + "epoch": 0.81, + "learning_rate": 9.607396574547001e-07, + "loss": 0.6803, + "step": 27414 + }, + { + "epoch": 0.81, + "learning_rate": 9.604592649498445e-07, + "loss": 0.7912, + "step": 27415 + }, + { + "epoch": 0.81, + "learning_rate": 9.601789090198616e-07, + "loss": 0.7967, + "step": 27416 + }, + { + "epoch": 0.81, + "learning_rate": 9.598985896672908e-07, + "loss": 0.6333, + "step": 27417 + }, + { + "epoch": 0.81, + "learning_rate": 9.596183068946686e-07, + "loss": 0.5826, + "step": 27418 + }, + { + "epoch": 0.81, + "learning_rate": 9.593380607045343e-07, + "loss": 0.7095, + "step": 27419 + }, + { + "epoch": 0.81, + "learning_rate": 9.59057851099423e-07, + "loss": 0.8825, + "step": 27420 + }, + { + "epoch": 0.81, + "learning_rate": 9.587776780818752e-07, + "loss": 0.5541, + "step": 27421 + }, + { + "epoch": 0.81, + "learning_rate": 9.584975416544245e-07, + "loss": 0.5785, + "step": 27422 + }, + { + "epoch": 0.81, + "learning_rate": 9.582174418196095e-07, + "loss": 0.7508, + "step": 27423 + }, + { + "epoch": 0.81, + "learning_rate": 9.579373785799629e-07, + "loss": 0.8808, + "step": 27424 + }, + { + "epoch": 0.81, + "learning_rate": 9.57657351938025e-07, + "loss": 0.7319, + "step": 27425 + }, + { + "epoch": 0.81, + "learning_rate": 9.573773618963284e-07, + "loss": 0.8019, + "step": 27426 + }, + { + "epoch": 0.81, + "learning_rate": 9.570974084574097e-07, + "loss": 0.3887, + "step": 27427 + }, + { + "epoch": 0.81, + "learning_rate": 9.568174916238016e-07, + "loss": 0.6386, + "step": 27428 + }, + { + "epoch": 0.81, + "learning_rate": 9.565376113980411e-07, + "loss": 0.8017, + "step": 27429 + }, + { + "epoch": 0.81, + "learning_rate": 9.562577677826602e-07, + "loss": 0.7912, + "step": 27430 + }, + { + "epoch": 0.81, + "learning_rate": 9.559779607801943e-07, + "loss": 0.4667, + "step": 27431 + }, + { + "epoch": 0.81, + "learning_rate": 9.556981903931745e-07, + "loss": 0.7166, + "step": 27432 + }, + { + "epoch": 0.81, + "learning_rate": 9.55418456624137e-07, + "loss": 0.6452, + "step": 27433 + }, + { + "epoch": 0.81, + "learning_rate": 9.551387594756118e-07, + "loss": 0.8373, + "step": 27434 + }, + { + "epoch": 0.81, + "learning_rate": 9.548590989501321e-07, + "loss": 0.9993, + "step": 27435 + }, + { + "epoch": 0.81, + "learning_rate": 9.54579475050232e-07, + "loss": 0.7963, + "step": 27436 + }, + { + "epoch": 0.81, + "learning_rate": 9.542998877784398e-07, + "loss": 0.5327, + "step": 27437 + }, + { + "epoch": 0.81, + "learning_rate": 9.540203371372903e-07, + "loss": 0.7495, + "step": 27438 + }, + { + "epoch": 0.81, + "learning_rate": 9.537408231293121e-07, + "loss": 0.5715, + "step": 27439 + }, + { + "epoch": 0.81, + "learning_rate": 9.534613457570379e-07, + "loss": 0.8749, + "step": 27440 + }, + { + "epoch": 0.81, + "learning_rate": 9.531819050229962e-07, + "loss": 1.0118, + "step": 27441 + }, + { + "epoch": 0.81, + "learning_rate": 9.5290250092972e-07, + "loss": 0.8216, + "step": 27442 + }, + { + "epoch": 0.81, + "learning_rate": 9.526231334797354e-07, + "loss": 0.6638, + "step": 27443 + }, + { + "epoch": 0.81, + "learning_rate": 9.523438026755733e-07, + "loss": 0.7026, + "step": 27444 + }, + { + "epoch": 0.81, + "learning_rate": 9.520645085197638e-07, + "loss": 0.9392, + "step": 27445 + }, + { + "epoch": 0.81, + "learning_rate": 9.517852510148362e-07, + "loss": 0.5664, + "step": 27446 + }, + { + "epoch": 0.81, + "learning_rate": 9.515060301633167e-07, + "loss": 0.526, + "step": 27447 + }, + { + "epoch": 0.81, + "learning_rate": 9.512268459677354e-07, + "loss": 0.628, + "step": 27448 + }, + { + "epoch": 0.81, + "learning_rate": 9.509476984306187e-07, + "loss": 0.8384, + "step": 27449 + }, + { + "epoch": 0.81, + "learning_rate": 9.506685875544952e-07, + "loss": 0.8942, + "step": 27450 + }, + { + "epoch": 0.81, + "learning_rate": 9.503895133418906e-07, + "loss": 0.5227, + "step": 27451 + }, + { + "epoch": 0.81, + "learning_rate": 9.501104757953339e-07, + "loss": 0.7539, + "step": 27452 + }, + { + "epoch": 0.81, + "learning_rate": 9.498314749173493e-07, + "loss": 0.7506, + "step": 27453 + }, + { + "epoch": 0.81, + "learning_rate": 9.49552510710463e-07, + "loss": 0.7091, + "step": 27454 + }, + { + "epoch": 0.81, + "learning_rate": 9.492735831772038e-07, + "loss": 0.7593, + "step": 27455 + }, + { + "epoch": 0.81, + "learning_rate": 9.489946923200933e-07, + "loss": 0.778, + "step": 27456 + }, + { + "epoch": 0.81, + "learning_rate": 9.487158381416595e-07, + "loss": 0.9304, + "step": 27457 + }, + { + "epoch": 0.81, + "learning_rate": 9.484370206444254e-07, + "loss": 0.5823, + "step": 27458 + }, + { + "epoch": 0.81, + "learning_rate": 9.481582398309169e-07, + "loss": 0.9075, + "step": 27459 + }, + { + "epoch": 0.81, + "learning_rate": 9.478794957036563e-07, + "loss": 0.449, + "step": 27460 + }, + { + "epoch": 0.81, + "learning_rate": 9.4760078826517e-07, + "loss": 0.8366, + "step": 27461 + }, + { + "epoch": 0.81, + "learning_rate": 9.473221175179786e-07, + "loss": 0.785, + "step": 27462 + }, + { + "epoch": 0.81, + "learning_rate": 9.47043483464608e-07, + "loss": 0.6517, + "step": 27463 + }, + { + "epoch": 0.81, + "learning_rate": 9.467648861075768e-07, + "loss": 0.593, + "step": 27464 + }, + { + "epoch": 0.81, + "learning_rate": 9.464863254494127e-07, + "loss": 0.7561, + "step": 27465 + }, + { + "epoch": 0.81, + "learning_rate": 9.462078014926352e-07, + "loss": 0.9063, + "step": 27466 + }, + { + "epoch": 0.81, + "learning_rate": 9.459293142397668e-07, + "loss": 0.7137, + "step": 27467 + }, + { + "epoch": 0.81, + "learning_rate": 9.456508636933276e-07, + "loss": 0.682, + "step": 27468 + }, + { + "epoch": 0.81, + "learning_rate": 9.453724498558409e-07, + "loss": 0.662, + "step": 27469 + }, + { + "epoch": 0.81, + "learning_rate": 9.450940727298252e-07, + "loss": 0.7187, + "step": 27470 + }, + { + "epoch": 0.81, + "learning_rate": 9.448157323178031e-07, + "loss": 0.4856, + "step": 27471 + }, + { + "epoch": 0.81, + "learning_rate": 9.445374286222925e-07, + "loss": 0.7388, + "step": 27472 + }, + { + "epoch": 0.81, + "learning_rate": 9.442591616458163e-07, + "loss": 0.4833, + "step": 27473 + }, + { + "epoch": 0.81, + "learning_rate": 9.439809313908904e-07, + "loss": 0.6761, + "step": 27474 + }, + { + "epoch": 0.81, + "learning_rate": 9.437027378600361e-07, + "loss": 0.7135, + "step": 27475 + }, + { + "epoch": 0.81, + "learning_rate": 9.434245810557729e-07, + "loss": 0.7638, + "step": 27476 + }, + { + "epoch": 0.81, + "learning_rate": 9.431464609806173e-07, + "loss": 0.8302, + "step": 27477 + }, + { + "epoch": 0.81, + "learning_rate": 9.428683776370895e-07, + "loss": 0.7667, + "step": 27478 + }, + { + "epoch": 0.81, + "learning_rate": 9.425903310277051e-07, + "loss": 0.6851, + "step": 27479 + }, + { + "epoch": 0.81, + "learning_rate": 9.423123211549839e-07, + "loss": 1.0343, + "step": 27480 + }, + { + "epoch": 0.81, + "learning_rate": 9.420343480214411e-07, + "loss": 0.5123, + "step": 27481 + }, + { + "epoch": 0.81, + "learning_rate": 9.417564116295952e-07, + "loss": 0.649, + "step": 27482 + }, + { + "epoch": 0.81, + "learning_rate": 9.414785119819603e-07, + "loss": 0.8922, + "step": 27483 + }, + { + "epoch": 0.81, + "learning_rate": 9.412006490810549e-07, + "loss": 0.6879, + "step": 27484 + }, + { + "epoch": 0.81, + "learning_rate": 9.409228229293932e-07, + "loss": 0.6847, + "step": 27485 + }, + { + "epoch": 0.81, + "learning_rate": 9.406450335294931e-07, + "loss": 0.7748, + "step": 27486 + }, + { + "epoch": 0.81, + "learning_rate": 9.40367280883867e-07, + "loss": 0.7897, + "step": 27487 + }, + { + "epoch": 0.81, + "learning_rate": 9.400895649950325e-07, + "loss": 0.61, + "step": 27488 + }, + { + "epoch": 0.81, + "learning_rate": 9.398118858655009e-07, + "loss": 0.8476, + "step": 27489 + }, + { + "epoch": 0.81, + "learning_rate": 9.395342434977889e-07, + "loss": 0.79, + "step": 27490 + }, + { + "epoch": 0.81, + "learning_rate": 9.39256637894409e-07, + "loss": 0.9083, + "step": 27491 + }, + { + "epoch": 0.81, + "learning_rate": 9.38979069057876e-07, + "loss": 0.669, + "step": 27492 + }, + { + "epoch": 0.81, + "learning_rate": 9.387015369907004e-07, + "loss": 0.7081, + "step": 27493 + }, + { + "epoch": 0.81, + "learning_rate": 9.384240416953977e-07, + "loss": 0.6286, + "step": 27494 + }, + { + "epoch": 0.81, + "learning_rate": 9.381465831744802e-07, + "loss": 0.655, + "step": 27495 + }, + { + "epoch": 0.81, + "learning_rate": 9.378691614304585e-07, + "loss": 0.8955, + "step": 27496 + }, + { + "epoch": 0.81, + "learning_rate": 9.375917764658466e-07, + "loss": 0.875, + "step": 27497 + }, + { + "epoch": 0.81, + "learning_rate": 9.373144282831531e-07, + "loss": 1.0174, + "step": 27498 + }, + { + "epoch": 0.81, + "learning_rate": 9.370371168848924e-07, + "loss": 0.631, + "step": 27499 + }, + { + "epoch": 0.81, + "learning_rate": 9.367598422735725e-07, + "loss": 0.8993, + "step": 27500 + }, + { + "epoch": 0.81, + "learning_rate": 9.364826044517061e-07, + "loss": 0.6096, + "step": 27501 + }, + { + "epoch": 0.81, + "learning_rate": 9.362054034218016e-07, + "loss": 0.702, + "step": 27502 + }, + { + "epoch": 0.81, + "learning_rate": 9.359282391863694e-07, + "loss": 0.4793, + "step": 27503 + }, + { + "epoch": 0.81, + "learning_rate": 9.356511117479189e-07, + "loss": 0.7922, + "step": 27504 + }, + { + "epoch": 0.81, + "learning_rate": 9.353740211089618e-07, + "loss": 0.6663, + "step": 27505 + }, + { + "epoch": 0.81, + "learning_rate": 9.350969672720028e-07, + "loss": 0.4363, + "step": 27506 + }, + { + "epoch": 0.81, + "learning_rate": 9.348199502395538e-07, + "loss": 0.6611, + "step": 27507 + }, + { + "epoch": 0.81, + "learning_rate": 9.345429700141206e-07, + "loss": 0.6098, + "step": 27508 + }, + { + "epoch": 0.81, + "learning_rate": 9.342660265982129e-07, + "loss": 0.4786, + "step": 27509 + }, + { + "epoch": 0.81, + "learning_rate": 9.339891199943363e-07, + "loss": 0.6131, + "step": 27510 + }, + { + "epoch": 0.81, + "learning_rate": 9.33712250205e-07, + "loss": 0.7359, + "step": 27511 + }, + { + "epoch": 0.81, + "learning_rate": 9.334354172327087e-07, + "loss": 0.6448, + "step": 27512 + }, + { + "epoch": 0.81, + "learning_rate": 9.331586210799698e-07, + "loss": 0.8681, + "step": 27513 + }, + { + "epoch": 0.81, + "learning_rate": 9.328818617492913e-07, + "loss": 0.6914, + "step": 27514 + }, + { + "epoch": 0.81, + "learning_rate": 9.326051392431762e-07, + "loss": 0.6305, + "step": 27515 + }, + { + "epoch": 0.81, + "learning_rate": 9.323284535641319e-07, + "loss": 0.9659, + "step": 27516 + }, + { + "epoch": 0.81, + "learning_rate": 9.32051804714662e-07, + "loss": 0.7456, + "step": 27517 + }, + { + "epoch": 0.81, + "learning_rate": 9.317751926972741e-07, + "loss": 0.7203, + "step": 27518 + }, + { + "epoch": 0.81, + "learning_rate": 9.314986175144686e-07, + "loss": 0.7135, + "step": 27519 + }, + { + "epoch": 0.81, + "learning_rate": 9.312220791687538e-07, + "loss": 0.4837, + "step": 27520 + }, + { + "epoch": 0.81, + "learning_rate": 9.309455776626303e-07, + "loss": 0.579, + "step": 27521 + }, + { + "epoch": 0.81, + "learning_rate": 9.30669112998604e-07, + "loss": 0.4568, + "step": 27522 + }, + { + "epoch": 0.81, + "learning_rate": 9.303926851791744e-07, + "loss": 0.6567, + "step": 27523 + }, + { + "epoch": 0.81, + "learning_rate": 9.301162942068498e-07, + "loss": 0.6026, + "step": 27524 + }, + { + "epoch": 0.81, + "learning_rate": 9.298399400841285e-07, + "loss": 0.7579, + "step": 27525 + }, + { + "epoch": 0.81, + "learning_rate": 9.295636228135158e-07, + "loss": 0.7481, + "step": 27526 + }, + { + "epoch": 0.81, + "learning_rate": 9.292873423975096e-07, + "loss": 0.8748, + "step": 27527 + }, + { + "epoch": 0.81, + "learning_rate": 9.290110988386153e-07, + "loss": 0.869, + "step": 27528 + }, + { + "epoch": 0.81, + "learning_rate": 9.287348921393314e-07, + "loss": 0.9875, + "step": 27529 + }, + { + "epoch": 0.81, + "learning_rate": 9.284587223021608e-07, + "loss": 0.6304, + "step": 27530 + }, + { + "epoch": 0.81, + "learning_rate": 9.28182589329601e-07, + "loss": 0.6888, + "step": 27531 + }, + { + "epoch": 0.81, + "learning_rate": 9.27906493224156e-07, + "loss": 0.6621, + "step": 27532 + }, + { + "epoch": 0.81, + "learning_rate": 9.276304339883218e-07, + "loss": 0.7877, + "step": 27533 + }, + { + "epoch": 0.81, + "learning_rate": 9.273544116246003e-07, + "loss": 0.5548, + "step": 27534 + }, + { + "epoch": 0.81, + "learning_rate": 9.270784261354915e-07, + "loss": 0.8889, + "step": 27535 + }, + { + "epoch": 0.81, + "learning_rate": 9.268024775234913e-07, + "loss": 0.8167, + "step": 27536 + }, + { + "epoch": 0.81, + "learning_rate": 9.26526565791101e-07, + "loss": 0.7864, + "step": 27537 + }, + { + "epoch": 0.81, + "learning_rate": 9.26250690940817e-07, + "loss": 0.479, + "step": 27538 + }, + { + "epoch": 0.81, + "learning_rate": 9.259748529751384e-07, + "loss": 0.582, + "step": 27539 + }, + { + "epoch": 0.81, + "learning_rate": 9.256990518965603e-07, + "loss": 0.6704, + "step": 27540 + }, + { + "epoch": 0.81, + "learning_rate": 9.254232877075836e-07, + "loss": 0.7552, + "step": 27541 + }, + { + "epoch": 0.81, + "learning_rate": 9.251475604107013e-07, + "loss": 0.7476, + "step": 27542 + }, + { + "epoch": 0.81, + "learning_rate": 9.248718700084114e-07, + "loss": 0.5584, + "step": 27543 + }, + { + "epoch": 0.81, + "learning_rate": 9.245962165032108e-07, + "loss": 0.3973, + "step": 27544 + }, + { + "epoch": 0.81, + "learning_rate": 9.243205998975962e-07, + "loss": 0.7801, + "step": 27545 + }, + { + "epoch": 0.81, + "learning_rate": 9.240450201940604e-07, + "loss": 0.7994, + "step": 27546 + }, + { + "epoch": 0.81, + "learning_rate": 9.237694773951006e-07, + "loss": 0.8909, + "step": 27547 + }, + { + "epoch": 0.81, + "learning_rate": 9.234939715032104e-07, + "loss": 0.8503, + "step": 27548 + }, + { + "epoch": 0.81, + "learning_rate": 9.232185025208857e-07, + "loss": 0.6921, + "step": 27549 + }, + { + "epoch": 0.81, + "learning_rate": 9.229430704506187e-07, + "loss": 0.8885, + "step": 27550 + }, + { + "epoch": 0.81, + "learning_rate": 9.226676752949055e-07, + "loss": 0.7977, + "step": 27551 + }, + { + "epoch": 0.81, + "learning_rate": 9.223923170562366e-07, + "loss": 0.7604, + "step": 27552 + }, + { + "epoch": 0.81, + "learning_rate": 9.221169957371073e-07, + "loss": 0.6652, + "step": 27553 + }, + { + "epoch": 0.81, + "learning_rate": 9.218417113400113e-07, + "loss": 0.572, + "step": 27554 + }, + { + "epoch": 0.81, + "learning_rate": 9.215664638674387e-07, + "loss": 0.6233, + "step": 27555 + }, + { + "epoch": 0.81, + "learning_rate": 9.212912533218843e-07, + "loss": 0.9844, + "step": 27556 + }, + { + "epoch": 0.81, + "learning_rate": 9.210160797058365e-07, + "loss": 0.4852, + "step": 27557 + }, + { + "epoch": 0.81, + "learning_rate": 9.207409430217907e-07, + "loss": 0.705, + "step": 27558 + }, + { + "epoch": 0.81, + "learning_rate": 9.20465843272234e-07, + "loss": 0.3709, + "step": 27559 + }, + { + "epoch": 0.81, + "learning_rate": 9.201907804596611e-07, + "loss": 0.7864, + "step": 27560 + }, + { + "epoch": 0.81, + "learning_rate": 9.199157545865589e-07, + "loss": 0.6596, + "step": 27561 + }, + { + "epoch": 0.81, + "learning_rate": 9.196407656554191e-07, + "loss": 0.5883, + "step": 27562 + }, + { + "epoch": 0.81, + "learning_rate": 9.193658136687322e-07, + "loss": 0.6901, + "step": 27563 + }, + { + "epoch": 0.81, + "learning_rate": 9.190908986289882e-07, + "loss": 0.9077, + "step": 27564 + }, + { + "epoch": 0.81, + "learning_rate": 9.188160205386737e-07, + "loss": 0.7747, + "step": 27565 + }, + { + "epoch": 0.81, + "learning_rate": 9.185411794002807e-07, + "loss": 0.5496, + "step": 27566 + }, + { + "epoch": 0.81, + "learning_rate": 9.182663752162946e-07, + "loss": 0.7181, + "step": 27567 + }, + { + "epoch": 0.81, + "learning_rate": 9.179916079892059e-07, + "loss": 0.8893, + "step": 27568 + }, + { + "epoch": 0.81, + "learning_rate": 9.177168777215001e-07, + "loss": 0.6468, + "step": 27569 + }, + { + "epoch": 0.81, + "learning_rate": 9.174421844156673e-07, + "loss": 0.8586, + "step": 27570 + }, + { + "epoch": 0.81, + "learning_rate": 9.171675280741921e-07, + "loss": 0.6019, + "step": 27571 + }, + { + "epoch": 0.81, + "learning_rate": 9.168929086995626e-07, + "loss": 0.6901, + "step": 27572 + }, + { + "epoch": 0.81, + "learning_rate": 9.166183262942663e-07, + "loss": 0.7421, + "step": 27573 + }, + { + "epoch": 0.81, + "learning_rate": 9.163437808607867e-07, + "loss": 0.7942, + "step": 27574 + }, + { + "epoch": 0.81, + "learning_rate": 9.160692724016129e-07, + "loss": 0.7785, + "step": 27575 + }, + { + "epoch": 0.81, + "learning_rate": 9.157948009192269e-07, + "loss": 0.5809, + "step": 27576 + }, + { + "epoch": 0.81, + "learning_rate": 9.155203664161166e-07, + "loss": 0.641, + "step": 27577 + }, + { + "epoch": 0.81, + "learning_rate": 9.152459688947646e-07, + "loss": 0.7614, + "step": 27578 + }, + { + "epoch": 0.81, + "learning_rate": 9.149716083576576e-07, + "loss": 0.5659, + "step": 27579 + }, + { + "epoch": 0.81, + "learning_rate": 9.146972848072771e-07, + "loss": 0.8554, + "step": 27580 + }, + { + "epoch": 0.81, + "learning_rate": 9.144229982461101e-07, + "loss": 0.5629, + "step": 27581 + }, + { + "epoch": 0.81, + "learning_rate": 9.141487486766354e-07, + "loss": 0.5277, + "step": 27582 + }, + { + "epoch": 0.81, + "learning_rate": 9.138745361013413e-07, + "loss": 0.663, + "step": 27583 + }, + { + "epoch": 0.81, + "learning_rate": 9.136003605227073e-07, + "loss": 0.9349, + "step": 27584 + }, + { + "epoch": 0.81, + "learning_rate": 9.133262219432176e-07, + "loss": 0.7921, + "step": 27585 + }, + { + "epoch": 0.81, + "learning_rate": 9.130521203653531e-07, + "loss": 0.6658, + "step": 27586 + }, + { + "epoch": 0.81, + "learning_rate": 9.127780557915966e-07, + "loss": 0.7644, + "step": 27587 + }, + { + "epoch": 0.81, + "learning_rate": 9.125040282244274e-07, + "loss": 0.7381, + "step": 27588 + }, + { + "epoch": 0.81, + "learning_rate": 9.122300376663302e-07, + "loss": 0.4845, + "step": 27589 + }, + { + "epoch": 0.81, + "learning_rate": 9.119560841197816e-07, + "loss": 0.728, + "step": 27590 + }, + { + "epoch": 0.81, + "learning_rate": 9.116821675872661e-07, + "loss": 0.645, + "step": 27591 + }, + { + "epoch": 0.81, + "learning_rate": 9.114082880712599e-07, + "loss": 0.8403, + "step": 27592 + }, + { + "epoch": 0.81, + "learning_rate": 9.111344455742454e-07, + "loss": 0.6794, + "step": 27593 + }, + { + "epoch": 0.81, + "learning_rate": 9.108606400987024e-07, + "loss": 0.9213, + "step": 27594 + }, + { + "epoch": 0.81, + "learning_rate": 9.105868716471073e-07, + "loss": 0.7677, + "step": 27595 + }, + { + "epoch": 0.81, + "learning_rate": 9.103131402219417e-07, + "loss": 0.6911, + "step": 27596 + }, + { + "epoch": 0.81, + "learning_rate": 9.100394458256822e-07, + "loss": 0.6061, + "step": 27597 + }, + { + "epoch": 0.81, + "learning_rate": 9.09765788460808e-07, + "loss": 0.4837, + "step": 27598 + }, + { + "epoch": 0.81, + "learning_rate": 9.094921681297958e-07, + "loss": 0.7761, + "step": 27599 + }, + { + "epoch": 0.81, + "learning_rate": 9.092185848351243e-07, + "loss": 0.7144, + "step": 27600 + }, + { + "epoch": 0.81, + "learning_rate": 9.089450385792687e-07, + "loss": 0.4894, + "step": 27601 + }, + { + "epoch": 0.81, + "learning_rate": 9.086715293647069e-07, + "loss": 0.8801, + "step": 27602 + }, + { + "epoch": 0.81, + "learning_rate": 9.08398057193915e-07, + "loss": 0.6943, + "step": 27603 + }, + { + "epoch": 0.81, + "learning_rate": 9.081246220693712e-07, + "loss": 0.9762, + "step": 27604 + }, + { + "epoch": 0.81, + "learning_rate": 9.078512239935477e-07, + "loss": 0.7696, + "step": 27605 + }, + { + "epoch": 0.81, + "learning_rate": 9.075778629689231e-07, + "loss": 0.8797, + "step": 27606 + }, + { + "epoch": 0.81, + "learning_rate": 9.073045389979696e-07, + "loss": 0.5321, + "step": 27607 + }, + { + "epoch": 0.81, + "learning_rate": 9.070312520831648e-07, + "loss": 0.7846, + "step": 27608 + }, + { + "epoch": 0.81, + "learning_rate": 9.067580022269801e-07, + "loss": 0.8087, + "step": 27609 + }, + { + "epoch": 0.81, + "learning_rate": 9.064847894318924e-07, + "loss": 0.6054, + "step": 27610 + }, + { + "epoch": 0.81, + "learning_rate": 9.062116137003729e-07, + "loss": 0.9631, + "step": 27611 + }, + { + "epoch": 0.81, + "learning_rate": 9.059384750348965e-07, + "loss": 0.8267, + "step": 27612 + }, + { + "epoch": 0.81, + "learning_rate": 9.056653734379367e-07, + "loss": 0.6555, + "step": 27613 + }, + { + "epoch": 0.81, + "learning_rate": 9.053923089119643e-07, + "loss": 0.6534, + "step": 27614 + }, + { + "epoch": 0.81, + "learning_rate": 9.051192814594545e-07, + "loss": 0.718, + "step": 27615 + }, + { + "epoch": 0.81, + "learning_rate": 9.048462910828765e-07, + "loss": 0.7622, + "step": 27616 + }, + { + "epoch": 0.81, + "learning_rate": 9.045733377847038e-07, + "loss": 0.6685, + "step": 27617 + }, + { + "epoch": 0.81, + "learning_rate": 9.043004215674067e-07, + "loss": 0.7485, + "step": 27618 + }, + { + "epoch": 0.81, + "learning_rate": 9.040275424334577e-07, + "loss": 0.6932, + "step": 27619 + }, + { + "epoch": 0.81, + "learning_rate": 9.037547003853253e-07, + "loss": 0.5938, + "step": 27620 + }, + { + "epoch": 0.81, + "learning_rate": 9.034818954254809e-07, + "loss": 0.5644, + "step": 27621 + }, + { + "epoch": 0.81, + "learning_rate": 9.032091275563954e-07, + "loss": 0.8547, + "step": 27622 + }, + { + "epoch": 0.81, + "learning_rate": 9.029363967805383e-07, + "loss": 0.7597, + "step": 27623 + }, + { + "epoch": 0.81, + "learning_rate": 9.026637031003776e-07, + "loss": 0.5653, + "step": 27624 + }, + { + "epoch": 0.81, + "learning_rate": 9.02391046518385e-07, + "loss": 0.8029, + "step": 27625 + }, + { + "epoch": 0.81, + "learning_rate": 9.021184270370253e-07, + "loss": 0.7286, + "step": 27626 + }, + { + "epoch": 0.81, + "learning_rate": 9.018458446587708e-07, + "loss": 0.6649, + "step": 27627 + }, + { + "epoch": 0.81, + "learning_rate": 9.015732993860865e-07, + "loss": 0.7896, + "step": 27628 + }, + { + "epoch": 0.81, + "learning_rate": 9.013007912214422e-07, + "loss": 0.8545, + "step": 27629 + }, + { + "epoch": 0.81, + "learning_rate": 9.010283201673037e-07, + "loss": 0.5347, + "step": 27630 + }, + { + "epoch": 0.81, + "learning_rate": 9.007558862261384e-07, + "loss": 0.8676, + "step": 27631 + }, + { + "epoch": 0.81, + "learning_rate": 9.004834894004144e-07, + "loss": 0.716, + "step": 27632 + }, + { + "epoch": 0.81, + "learning_rate": 9.002111296925952e-07, + "loss": 0.7447, + "step": 27633 + }, + { + "epoch": 0.81, + "learning_rate": 8.999388071051502e-07, + "loss": 0.6444, + "step": 27634 + }, + { + "epoch": 0.81, + "learning_rate": 8.99666521640542e-07, + "loss": 0.5188, + "step": 27635 + }, + { + "epoch": 0.81, + "learning_rate": 8.99394273301239e-07, + "loss": 0.6939, + "step": 27636 + }, + { + "epoch": 0.81, + "learning_rate": 8.991220620897024e-07, + "loss": 0.7289, + "step": 27637 + }, + { + "epoch": 0.81, + "learning_rate": 8.988498880084007e-07, + "loss": 0.6462, + "step": 27638 + }, + { + "epoch": 0.81, + "learning_rate": 8.985777510597954e-07, + "loss": 0.9278, + "step": 27639 + }, + { + "epoch": 0.81, + "learning_rate": 8.983056512463522e-07, + "loss": 0.7445, + "step": 27640 + }, + { + "epoch": 0.81, + "learning_rate": 8.980335885705322e-07, + "loss": 0.6589, + "step": 27641 + }, + { + "epoch": 0.81, + "learning_rate": 8.977615630348025e-07, + "loss": 0.7301, + "step": 27642 + }, + { + "epoch": 0.81, + "learning_rate": 8.974895746416229e-07, + "loss": 0.9521, + "step": 27643 + }, + { + "epoch": 0.81, + "learning_rate": 8.972176233934593e-07, + "loss": 0.7177, + "step": 27644 + }, + { + "epoch": 0.81, + "learning_rate": 8.969457092927702e-07, + "loss": 0.8571, + "step": 27645 + }, + { + "epoch": 0.81, + "learning_rate": 8.96673832342021e-07, + "loss": 0.7499, + "step": 27646 + }, + { + "epoch": 0.81, + "learning_rate": 8.964019925436701e-07, + "loss": 0.494, + "step": 27647 + }, + { + "epoch": 0.81, + "learning_rate": 8.961301899001817e-07, + "loss": 0.6751, + "step": 27648 + }, + { + "epoch": 0.81, + "learning_rate": 8.958584244140145e-07, + "loss": 0.5352, + "step": 27649 + }, + { + "epoch": 0.81, + "learning_rate": 8.955866960876313e-07, + "loss": 0.8597, + "step": 27650 + }, + { + "epoch": 0.81, + "learning_rate": 8.953150049234899e-07, + "loss": 0.6993, + "step": 27651 + }, + { + "epoch": 0.81, + "learning_rate": 8.950433509240519e-07, + "loss": 0.5636, + "step": 27652 + }, + { + "epoch": 0.81, + "learning_rate": 8.947717340917772e-07, + "loss": 0.7717, + "step": 27653 + }, + { + "epoch": 0.81, + "learning_rate": 8.945001544291237e-07, + "loss": 0.6442, + "step": 27654 + }, + { + "epoch": 0.81, + "learning_rate": 8.942286119385524e-07, + "loss": 0.5284, + "step": 27655 + }, + { + "epoch": 0.81, + "learning_rate": 8.939571066225189e-07, + "loss": 0.7084, + "step": 27656 + }, + { + "epoch": 0.81, + "learning_rate": 8.936856384834846e-07, + "loss": 0.8449, + "step": 27657 + }, + { + "epoch": 0.81, + "learning_rate": 8.934142075239043e-07, + "loss": 0.8505, + "step": 27658 + }, + { + "epoch": 0.81, + "learning_rate": 8.931428137462395e-07, + "loss": 0.5257, + "step": 27659 + }, + { + "epoch": 0.81, + "learning_rate": 8.928714571529429e-07, + "loss": 0.7589, + "step": 27660 + }, + { + "epoch": 0.81, + "learning_rate": 8.926001377464744e-07, + "loss": 0.5562, + "step": 27661 + }, + { + "epoch": 0.81, + "learning_rate": 8.923288555292897e-07, + "loss": 0.7044, + "step": 27662 + }, + { + "epoch": 0.81, + "learning_rate": 8.92057610503847e-07, + "loss": 0.6538, + "step": 27663 + }, + { + "epoch": 0.81, + "learning_rate": 8.917864026725987e-07, + "loss": 0.6472, + "step": 27664 + }, + { + "epoch": 0.81, + "learning_rate": 8.915152320380039e-07, + "loss": 0.8768, + "step": 27665 + }, + { + "epoch": 0.81, + "learning_rate": 8.912440986025145e-07, + "loss": 0.7219, + "step": 27666 + }, + { + "epoch": 0.81, + "learning_rate": 8.909730023685881e-07, + "loss": 0.5808, + "step": 27667 + }, + { + "epoch": 0.81, + "learning_rate": 8.907019433386771e-07, + "loss": 0.7852, + "step": 27668 + }, + { + "epoch": 0.81, + "learning_rate": 8.904309215152385e-07, + "loss": 0.9465, + "step": 27669 + }, + { + "epoch": 0.81, + "learning_rate": 8.90159936900723e-07, + "loss": 0.7771, + "step": 27670 + }, + { + "epoch": 0.81, + "learning_rate": 8.898889894975854e-07, + "loss": 0.5831, + "step": 27671 + }, + { + "epoch": 0.81, + "learning_rate": 8.896180793082804e-07, + "loss": 0.7839, + "step": 27672 + }, + { + "epoch": 0.81, + "learning_rate": 8.893472063352587e-07, + "loss": 0.7727, + "step": 27673 + }, + { + "epoch": 0.81, + "learning_rate": 8.890763705809746e-07, + "loss": 0.795, + "step": 27674 + }, + { + "epoch": 0.81, + "learning_rate": 8.888055720478789e-07, + "loss": 0.601, + "step": 27675 + }, + { + "epoch": 0.81, + "learning_rate": 8.885348107384245e-07, + "loss": 0.6706, + "step": 27676 + }, + { + "epoch": 0.81, + "learning_rate": 8.882640866550618e-07, + "loss": 0.7003, + "step": 27677 + }, + { + "epoch": 0.81, + "learning_rate": 8.879933998002438e-07, + "loss": 0.794, + "step": 27678 + }, + { + "epoch": 0.81, + "learning_rate": 8.877227501764191e-07, + "loss": 0.8839, + "step": 27679 + }, + { + "epoch": 0.81, + "learning_rate": 8.874521377860406e-07, + "loss": 0.8542, + "step": 27680 + }, + { + "epoch": 0.81, + "learning_rate": 8.871815626315544e-07, + "loss": 0.7212, + "step": 27681 + }, + { + "epoch": 0.81, + "learning_rate": 8.869110247154161e-07, + "loss": 0.4734, + "step": 27682 + }, + { + "epoch": 0.81, + "learning_rate": 8.866405240400711e-07, + "loss": 0.8005, + "step": 27683 + }, + { + "epoch": 0.81, + "learning_rate": 8.863700606079706e-07, + "loss": 0.924, + "step": 27684 + }, + { + "epoch": 0.81, + "learning_rate": 8.860996344215617e-07, + "loss": 0.6205, + "step": 27685 + }, + { + "epoch": 0.81, + "learning_rate": 8.858292454832945e-07, + "loss": 0.816, + "step": 27686 + }, + { + "epoch": 0.81, + "learning_rate": 8.855588937956161e-07, + "loss": 0.861, + "step": 27687 + }, + { + "epoch": 0.81, + "learning_rate": 8.85288579360975e-07, + "loss": 0.436, + "step": 27688 + }, + { + "epoch": 0.81, + "learning_rate": 8.850183021818176e-07, + "loss": 0.5594, + "step": 27689 + }, + { + "epoch": 0.81, + "learning_rate": 8.84748062260592e-07, + "loss": 0.5415, + "step": 27690 + }, + { + "epoch": 0.81, + "learning_rate": 8.844778595997444e-07, + "loss": 0.5593, + "step": 27691 + }, + { + "epoch": 0.81, + "learning_rate": 8.842076942017235e-07, + "loss": 0.9126, + "step": 27692 + }, + { + "epoch": 0.81, + "learning_rate": 8.83937566068972e-07, + "loss": 0.8811, + "step": 27693 + }, + { + "epoch": 0.81, + "learning_rate": 8.836674752039387e-07, + "loss": 0.7508, + "step": 27694 + }, + { + "epoch": 0.81, + "learning_rate": 8.833974216090663e-07, + "loss": 0.7171, + "step": 27695 + }, + { + "epoch": 0.81, + "learning_rate": 8.831274052868028e-07, + "loss": 0.6083, + "step": 27696 + }, + { + "epoch": 0.81, + "learning_rate": 8.828574262395911e-07, + "loss": 0.7786, + "step": 27697 + }, + { + "epoch": 0.81, + "learning_rate": 8.825874844698751e-07, + "loss": 0.5597, + "step": 27698 + }, + { + "epoch": 0.81, + "learning_rate": 8.823175799801014e-07, + "loss": 0.8042, + "step": 27699 + }, + { + "epoch": 0.81, + "learning_rate": 8.820477127727089e-07, + "loss": 0.724, + "step": 27700 + }, + { + "epoch": 0.81, + "learning_rate": 8.817778828501478e-07, + "loss": 0.7108, + "step": 27701 + }, + { + "epoch": 0.81, + "learning_rate": 8.815080902148559e-07, + "loss": 0.8037, + "step": 27702 + }, + { + "epoch": 0.81, + "learning_rate": 8.812383348692794e-07, + "loss": 0.6127, + "step": 27703 + }, + { + "epoch": 0.81, + "learning_rate": 8.809686168158577e-07, + "loss": 0.4625, + "step": 27704 + }, + { + "epoch": 0.81, + "learning_rate": 8.806989360570356e-07, + "loss": 0.8386, + "step": 27705 + }, + { + "epoch": 0.81, + "learning_rate": 8.804292925952529e-07, + "loss": 0.8962, + "step": 27706 + }, + { + "epoch": 0.81, + "learning_rate": 8.80159686432952e-07, + "loss": 0.5576, + "step": 27707 + }, + { + "epoch": 0.81, + "learning_rate": 8.798901175725733e-07, + "loss": 0.6155, + "step": 27708 + }, + { + "epoch": 0.81, + "learning_rate": 8.796205860165585e-07, + "loss": 0.813, + "step": 27709 + }, + { + "epoch": 0.81, + "learning_rate": 8.793510917673454e-07, + "loss": 0.8525, + "step": 27710 + }, + { + "epoch": 0.81, + "learning_rate": 8.790816348273785e-07, + "loss": 1.0681, + "step": 27711 + }, + { + "epoch": 0.81, + "learning_rate": 8.788122151990935e-07, + "loss": 0.8592, + "step": 27712 + }, + { + "epoch": 0.81, + "learning_rate": 8.785428328849327e-07, + "loss": 0.7567, + "step": 27713 + }, + { + "epoch": 0.81, + "learning_rate": 8.782734878873327e-07, + "loss": 0.5872, + "step": 27714 + }, + { + "epoch": 0.81, + "learning_rate": 8.780041802087341e-07, + "loss": 0.5196, + "step": 27715 + }, + { + "epoch": 0.81, + "learning_rate": 8.777349098515742e-07, + "loss": 0.6243, + "step": 27716 + }, + { + "epoch": 0.81, + "learning_rate": 8.774656768182915e-07, + "loss": 0.4105, + "step": 27717 + }, + { + "epoch": 0.81, + "learning_rate": 8.771964811113232e-07, + "loss": 0.8475, + "step": 27718 + }, + { + "epoch": 0.81, + "learning_rate": 8.769273227331077e-07, + "loss": 0.6607, + "step": 27719 + }, + { + "epoch": 0.81, + "learning_rate": 8.766582016860803e-07, + "loss": 0.8607, + "step": 27720 + }, + { + "epoch": 0.81, + "learning_rate": 8.763891179726785e-07, + "loss": 0.9468, + "step": 27721 + }, + { + "epoch": 0.81, + "learning_rate": 8.7612007159534e-07, + "loss": 0.5427, + "step": 27722 + }, + { + "epoch": 0.81, + "learning_rate": 8.758510625564981e-07, + "loss": 0.6244, + "step": 27723 + }, + { + "epoch": 0.81, + "learning_rate": 8.755820908585916e-07, + "loss": 0.8111, + "step": 27724 + }, + { + "epoch": 0.81, + "learning_rate": 8.753131565040529e-07, + "loss": 0.7149, + "step": 27725 + }, + { + "epoch": 0.81, + "learning_rate": 8.750442594953196e-07, + "loss": 0.6038, + "step": 27726 + }, + { + "epoch": 0.81, + "learning_rate": 8.747753998348241e-07, + "loss": 0.5447, + "step": 27727 + }, + { + "epoch": 0.81, + "learning_rate": 8.745065775250022e-07, + "loss": 0.7661, + "step": 27728 + }, + { + "epoch": 0.81, + "learning_rate": 8.742377925682866e-07, + "loss": 0.8032, + "step": 27729 + }, + { + "epoch": 0.81, + "learning_rate": 8.739690449671118e-07, + "loss": 0.5703, + "step": 27730 + }, + { + "epoch": 0.81, + "learning_rate": 8.737003347239109e-07, + "loss": 0.6769, + "step": 27731 + }, + { + "epoch": 0.81, + "learning_rate": 8.734316618411176e-07, + "loss": 0.7713, + "step": 27732 + }, + { + "epoch": 0.81, + "learning_rate": 8.731630263211632e-07, + "loss": 0.8413, + "step": 27733 + }, + { + "epoch": 0.81, + "learning_rate": 8.728944281664819e-07, + "loss": 0.563, + "step": 27734 + }, + { + "epoch": 0.81, + "learning_rate": 8.72625867379503e-07, + "loss": 0.6618, + "step": 27735 + }, + { + "epoch": 0.81, + "learning_rate": 8.723573439626603e-07, + "loss": 0.657, + "step": 27736 + }, + { + "epoch": 0.81, + "learning_rate": 8.720888579183834e-07, + "loss": 0.9761, + "step": 27737 + }, + { + "epoch": 0.81, + "learning_rate": 8.718204092491056e-07, + "loss": 0.4556, + "step": 27738 + }, + { + "epoch": 0.81, + "learning_rate": 8.715519979572546e-07, + "loss": 0.5817, + "step": 27739 + }, + { + "epoch": 0.81, + "learning_rate": 8.712836240452615e-07, + "loss": 0.6351, + "step": 27740 + }, + { + "epoch": 0.81, + "learning_rate": 8.710152875155587e-07, + "loss": 0.6434, + "step": 27741 + }, + { + "epoch": 0.82, + "learning_rate": 8.707469883705721e-07, + "loss": 0.638, + "step": 27742 + }, + { + "epoch": 0.82, + "learning_rate": 8.704787266127346e-07, + "loss": 0.7496, + "step": 27743 + }, + { + "epoch": 0.82, + "learning_rate": 8.702105022444712e-07, + "loss": 0.813, + "step": 27744 + }, + { + "epoch": 0.82, + "learning_rate": 8.69942315268214e-07, + "loss": 0.7832, + "step": 27745 + }, + { + "epoch": 0.82, + "learning_rate": 8.696741656863883e-07, + "loss": 0.7049, + "step": 27746 + }, + { + "epoch": 0.82, + "learning_rate": 8.694060535014248e-07, + "loss": 0.5708, + "step": 27747 + }, + { + "epoch": 0.82, + "learning_rate": 8.691379787157478e-07, + "loss": 0.5719, + "step": 27748 + }, + { + "epoch": 0.82, + "learning_rate": 8.688699413317881e-07, + "loss": 0.691, + "step": 27749 + }, + { + "epoch": 0.82, + "learning_rate": 8.686019413519681e-07, + "loss": 0.8699, + "step": 27750 + }, + { + "epoch": 0.82, + "learning_rate": 8.683339787787192e-07, + "loss": 0.7138, + "step": 27751 + }, + { + "epoch": 0.82, + "learning_rate": 8.680660536144647e-07, + "loss": 0.6709, + "step": 27752 + }, + { + "epoch": 0.82, + "learning_rate": 8.677981658616319e-07, + "loss": 0.6414, + "step": 27753 + }, + { + "epoch": 0.82, + "learning_rate": 8.675303155226444e-07, + "loss": 0.9131, + "step": 27754 + }, + { + "epoch": 0.82, + "learning_rate": 8.672625025999298e-07, + "loss": 0.7679, + "step": 27755 + }, + { + "epoch": 0.82, + "learning_rate": 8.669947270959106e-07, + "loss": 0.6451, + "step": 27756 + }, + { + "epoch": 0.82, + "learning_rate": 8.667269890130131e-07, + "loss": 0.773, + "step": 27757 + }, + { + "epoch": 0.82, + "learning_rate": 8.664592883536599e-07, + "loss": 0.799, + "step": 27758 + }, + { + "epoch": 0.82, + "learning_rate": 8.661916251202757e-07, + "loss": 0.4409, + "step": 27759 + }, + { + "epoch": 0.82, + "learning_rate": 8.659239993152846e-07, + "loss": 0.5589, + "step": 27760 + }, + { + "epoch": 0.82, + "learning_rate": 8.656564109411081e-07, + "loss": 0.8947, + "step": 27761 + }, + { + "epoch": 0.82, + "learning_rate": 8.653888600001715e-07, + "loss": 0.7453, + "step": 27762 + }, + { + "epoch": 0.82, + "learning_rate": 8.651213464948944e-07, + "loss": 0.6081, + "step": 27763 + }, + { + "epoch": 0.82, + "learning_rate": 8.64853870427701e-07, + "loss": 0.5891, + "step": 27764 + }, + { + "epoch": 0.82, + "learning_rate": 8.645864318010117e-07, + "loss": 0.6991, + "step": 27765 + }, + { + "epoch": 0.82, + "learning_rate": 8.643190306172495e-07, + "loss": 0.8851, + "step": 27766 + }, + { + "epoch": 0.82, + "learning_rate": 8.640516668788334e-07, + "loss": 0.8438, + "step": 27767 + }, + { + "epoch": 0.82, + "learning_rate": 8.637843405881863e-07, + "loss": 0.5714, + "step": 27768 + }, + { + "epoch": 0.82, + "learning_rate": 8.635170517477259e-07, + "loss": 0.7156, + "step": 27769 + }, + { + "epoch": 0.82, + "learning_rate": 8.63249800359876e-07, + "loss": 0.6658, + "step": 27770 + }, + { + "epoch": 0.82, + "learning_rate": 8.62982586427053e-07, + "loss": 0.8814, + "step": 27771 + }, + { + "epoch": 0.82, + "learning_rate": 8.627154099516793e-07, + "loss": 0.5005, + "step": 27772 + }, + { + "epoch": 0.82, + "learning_rate": 8.624482709361715e-07, + "loss": 0.4964, + "step": 27773 + }, + { + "epoch": 0.82, + "learning_rate": 8.621811693829501e-07, + "loss": 0.7105, + "step": 27774 + }, + { + "epoch": 0.82, + "learning_rate": 8.619141052944313e-07, + "loss": 0.5451, + "step": 27775 + }, + { + "epoch": 0.82, + "learning_rate": 8.616470786730363e-07, + "loss": 0.6508, + "step": 27776 + }, + { + "epoch": 0.82, + "learning_rate": 8.613800895211794e-07, + "loss": 0.5147, + "step": 27777 + }, + { + "epoch": 0.82, + "learning_rate": 8.611131378412807e-07, + "loss": 0.6498, + "step": 27778 + }, + { + "epoch": 0.82, + "learning_rate": 8.608462236357551e-07, + "loss": 0.8784, + "step": 27779 + }, + { + "epoch": 0.82, + "learning_rate": 8.6057934690702e-07, + "loss": 0.6177, + "step": 27780 + }, + { + "epoch": 0.82, + "learning_rate": 8.603125076574936e-07, + "loss": 0.7111, + "step": 27781 + }, + { + "epoch": 0.82, + "learning_rate": 8.60045705889589e-07, + "loss": 0.6444, + "step": 27782 + }, + { + "epoch": 0.82, + "learning_rate": 8.597789416057245e-07, + "loss": 0.6103, + "step": 27783 + }, + { + "epoch": 0.82, + "learning_rate": 8.595122148083135e-07, + "loss": 1.1412, + "step": 27784 + }, + { + "epoch": 0.82, + "learning_rate": 8.592455254997722e-07, + "loss": 0.6606, + "step": 27785 + }, + { + "epoch": 0.82, + "learning_rate": 8.589788736825144e-07, + "loss": 0.8184, + "step": 27786 + }, + { + "epoch": 0.82, + "learning_rate": 8.587122593589553e-07, + "loss": 0.7991, + "step": 27787 + }, + { + "epoch": 0.82, + "learning_rate": 8.584456825315074e-07, + "loss": 0.6762, + "step": 27788 + }, + { + "epoch": 0.82, + "learning_rate": 8.581791432025854e-07, + "loss": 0.7628, + "step": 27789 + }, + { + "epoch": 0.82, + "learning_rate": 8.579126413746031e-07, + "loss": 0.8626, + "step": 27790 + }, + { + "epoch": 0.82, + "learning_rate": 8.576461770499733e-07, + "loss": 0.586, + "step": 27791 + }, + { + "epoch": 0.82, + "learning_rate": 8.573797502311076e-07, + "loss": 0.6649, + "step": 27792 + }, + { + "epoch": 0.82, + "learning_rate": 8.571133609204197e-07, + "loss": 0.5755, + "step": 27793 + }, + { + "epoch": 0.82, + "learning_rate": 8.568470091203196e-07, + "loss": 0.7158, + "step": 27794 + }, + { + "epoch": 0.82, + "learning_rate": 8.565806948332217e-07, + "loss": 0.9748, + "step": 27795 + }, + { + "epoch": 0.82, + "learning_rate": 8.56314418061534e-07, + "loss": 0.7733, + "step": 27796 + }, + { + "epoch": 0.82, + "learning_rate": 8.560481788076708e-07, + "loss": 0.6767, + "step": 27797 + }, + { + "epoch": 0.82, + "learning_rate": 8.557819770740389e-07, + "loss": 0.9759, + "step": 27798 + }, + { + "epoch": 0.82, + "learning_rate": 8.555158128630514e-07, + "loss": 0.9463, + "step": 27799 + }, + { + "epoch": 0.82, + "learning_rate": 8.552496861771181e-07, + "loss": 0.7813, + "step": 27800 + }, + { + "epoch": 0.82, + "learning_rate": 8.549835970186471e-07, + "loss": 0.8231, + "step": 27801 + }, + { + "epoch": 0.82, + "learning_rate": 8.547175453900497e-07, + "loss": 0.7961, + "step": 27802 + }, + { + "epoch": 0.82, + "learning_rate": 8.544515312937318e-07, + "loss": 0.6619, + "step": 27803 + }, + { + "epoch": 0.82, + "learning_rate": 8.541855547321049e-07, + "loss": 0.7852, + "step": 27804 + }, + { + "epoch": 0.82, + "learning_rate": 8.539196157075752e-07, + "loss": 0.502, + "step": 27805 + }, + { + "epoch": 0.82, + "learning_rate": 8.536537142225521e-07, + "loss": 0.6586, + "step": 27806 + }, + { + "epoch": 0.82, + "learning_rate": 8.533878502794413e-07, + "loss": 0.961, + "step": 27807 + }, + { + "epoch": 0.82, + "learning_rate": 8.531220238806526e-07, + "loss": 0.9784, + "step": 27808 + }, + { + "epoch": 0.82, + "learning_rate": 8.528562350285885e-07, + "loss": 0.7115, + "step": 27809 + }, + { + "epoch": 0.82, + "learning_rate": 8.525904837256604e-07, + "loss": 0.8403, + "step": 27810 + }, + { + "epoch": 0.82, + "learning_rate": 8.52324769974272e-07, + "loss": 0.7773, + "step": 27811 + }, + { + "epoch": 0.82, + "learning_rate": 8.520590937768302e-07, + "loss": 0.7363, + "step": 27812 + }, + { + "epoch": 0.82, + "learning_rate": 8.517934551357387e-07, + "loss": 0.445, + "step": 27813 + }, + { + "epoch": 0.82, + "learning_rate": 8.51527854053405e-07, + "loss": 0.517, + "step": 27814 + }, + { + "epoch": 0.82, + "learning_rate": 8.512622905322309e-07, + "loss": 0.7088, + "step": 27815 + }, + { + "epoch": 0.82, + "learning_rate": 8.509967645746248e-07, + "loss": 0.8709, + "step": 27816 + }, + { + "epoch": 0.82, + "learning_rate": 8.507312761829867e-07, + "loss": 0.6574, + "step": 27817 + }, + { + "epoch": 0.82, + "learning_rate": 8.504658253597226e-07, + "loss": 0.865, + "step": 27818 + }, + { + "epoch": 0.82, + "learning_rate": 8.502004121072372e-07, + "loss": 0.5854, + "step": 27819 + }, + { + "epoch": 0.82, + "learning_rate": 8.499350364279302e-07, + "loss": 1.0863, + "step": 27820 + }, + { + "epoch": 0.82, + "learning_rate": 8.496696983242081e-07, + "loss": 0.9005, + "step": 27821 + }, + { + "epoch": 0.82, + "learning_rate": 8.4940439779847e-07, + "loss": 0.7883, + "step": 27822 + }, + { + "epoch": 0.82, + "learning_rate": 8.491391348531208e-07, + "loss": 0.5163, + "step": 27823 + }, + { + "epoch": 0.82, + "learning_rate": 8.488739094905596e-07, + "loss": 0.4754, + "step": 27824 + }, + { + "epoch": 0.82, + "learning_rate": 8.486087217131905e-07, + "loss": 0.461, + "step": 27825 + }, + { + "epoch": 0.82, + "learning_rate": 8.483435715234117e-07, + "loss": 0.7127, + "step": 27826 + }, + { + "epoch": 0.82, + "learning_rate": 8.480784589236268e-07, + "loss": 0.3526, + "step": 27827 + }, + { + "epoch": 0.82, + "learning_rate": 8.478133839162328e-07, + "loss": 0.7481, + "step": 27828 + }, + { + "epoch": 0.82, + "learning_rate": 8.475483465036338e-07, + "loss": 0.6384, + "step": 27829 + }, + { + "epoch": 0.82, + "learning_rate": 8.472833466882263e-07, + "loss": 0.7799, + "step": 27830 + }, + { + "epoch": 0.82, + "learning_rate": 8.470183844724123e-07, + "loss": 0.6183, + "step": 27831 + }, + { + "epoch": 0.82, + "learning_rate": 8.467534598585875e-07, + "loss": 0.6269, + "step": 27832 + }, + { + "epoch": 0.82, + "learning_rate": 8.464885728491546e-07, + "loss": 0.5276, + "step": 27833 + }, + { + "epoch": 0.82, + "learning_rate": 8.462237234465076e-07, + "loss": 0.4637, + "step": 27834 + }, + { + "epoch": 0.82, + "learning_rate": 8.459589116530487e-07, + "loss": 0.8161, + "step": 27835 + }, + { + "epoch": 0.82, + "learning_rate": 8.456941374711719e-07, + "loss": 0.6759, + "step": 27836 + }, + { + "epoch": 0.82, + "learning_rate": 8.454294009032776e-07, + "loss": 1.1567, + "step": 27837 + }, + { + "epoch": 0.82, + "learning_rate": 8.4516470195176e-07, + "loss": 0.65, + "step": 27838 + }, + { + "epoch": 0.82, + "learning_rate": 8.449000406190172e-07, + "loss": 0.4863, + "step": 27839 + }, + { + "epoch": 0.82, + "learning_rate": 8.446354169074467e-07, + "loss": 0.9027, + "step": 27840 + }, + { + "epoch": 0.82, + "learning_rate": 8.443708308194421e-07, + "loss": 0.7149, + "step": 27841 + }, + { + "epoch": 0.82, + "learning_rate": 8.441062823574009e-07, + "loss": 0.521, + "step": 27842 + }, + { + "epoch": 0.82, + "learning_rate": 8.438417715237162e-07, + "loss": 0.6525, + "step": 27843 + }, + { + "epoch": 0.82, + "learning_rate": 8.435772983207863e-07, + "loss": 0.7048, + "step": 27844 + }, + { + "epoch": 0.82, + "learning_rate": 8.433128627510018e-07, + "loss": 0.9704, + "step": 27845 + }, + { + "epoch": 0.82, + "learning_rate": 8.430484648167608e-07, + "loss": 0.7988, + "step": 27846 + }, + { + "epoch": 0.82, + "learning_rate": 8.427841045204538e-07, + "loss": 0.7899, + "step": 27847 + }, + { + "epoch": 0.82, + "learning_rate": 8.42519781864476e-07, + "loss": 0.7779, + "step": 27848 + }, + { + "epoch": 0.82, + "learning_rate": 8.422554968512204e-07, + "loss": 0.8898, + "step": 27849 + }, + { + "epoch": 0.82, + "learning_rate": 8.419912494830818e-07, + "loss": 0.8701, + "step": 27850 + }, + { + "epoch": 0.82, + "learning_rate": 8.417270397624494e-07, + "loss": 0.8898, + "step": 27851 + }, + { + "epoch": 0.82, + "learning_rate": 8.414628676917185e-07, + "loss": 0.839, + "step": 27852 + }, + { + "epoch": 0.82, + "learning_rate": 8.41198733273278e-07, + "loss": 0.5323, + "step": 27853 + }, + { + "epoch": 0.82, + "learning_rate": 8.409346365095222e-07, + "loss": 0.6135, + "step": 27854 + }, + { + "epoch": 0.82, + "learning_rate": 8.406705774028401e-07, + "loss": 0.6874, + "step": 27855 + }, + { + "epoch": 0.82, + "learning_rate": 8.404065559556246e-07, + "loss": 0.7592, + "step": 27856 + }, + { + "epoch": 0.82, + "learning_rate": 8.401425721702639e-07, + "loss": 0.684, + "step": 27857 + }, + { + "epoch": 0.82, + "learning_rate": 8.398786260491493e-07, + "loss": 0.6136, + "step": 27858 + }, + { + "epoch": 0.82, + "learning_rate": 8.396147175946718e-07, + "loss": 0.6423, + "step": 27859 + }, + { + "epoch": 0.82, + "learning_rate": 8.393508468092182e-07, + "loss": 0.7602, + "step": 27860 + }, + { + "epoch": 0.82, + "learning_rate": 8.390870136951812e-07, + "loss": 0.8195, + "step": 27861 + }, + { + "epoch": 0.82, + "learning_rate": 8.388232182549461e-07, + "loss": 0.8499, + "step": 27862 + }, + { + "epoch": 0.82, + "learning_rate": 8.385594604909037e-07, + "loss": 0.7484, + "step": 27863 + }, + { + "epoch": 0.82, + "learning_rate": 8.382957404054404e-07, + "loss": 0.8329, + "step": 27864 + }, + { + "epoch": 0.82, + "learning_rate": 8.38032058000946e-07, + "loss": 0.8, + "step": 27865 + }, + { + "epoch": 0.82, + "learning_rate": 8.377684132798058e-07, + "loss": 0.7399, + "step": 27866 + }, + { + "epoch": 0.82, + "learning_rate": 8.375048062444091e-07, + "loss": 0.7842, + "step": 27867 + }, + { + "epoch": 0.82, + "learning_rate": 8.372412368971388e-07, + "loss": 0.859, + "step": 27868 + }, + { + "epoch": 0.82, + "learning_rate": 8.369777052403866e-07, + "loss": 0.6274, + "step": 27869 + }, + { + "epoch": 0.82, + "learning_rate": 8.367142112765342e-07, + "loss": 0.8079, + "step": 27870 + }, + { + "epoch": 0.82, + "learning_rate": 8.364507550079709e-07, + "loss": 0.6635, + "step": 27871 + }, + { + "epoch": 0.82, + "learning_rate": 8.361873364370787e-07, + "loss": 0.6586, + "step": 27872 + }, + { + "epoch": 0.82, + "learning_rate": 8.359239555662457e-07, + "loss": 0.8781, + "step": 27873 + }, + { + "epoch": 0.82, + "learning_rate": 8.356606123978539e-07, + "loss": 0.8392, + "step": 27874 + }, + { + "epoch": 0.82, + "learning_rate": 8.353973069342897e-07, + "loss": 0.7919, + "step": 27875 + }, + { + "epoch": 0.82, + "learning_rate": 8.351340391779356e-07, + "loss": 0.6665, + "step": 27876 + }, + { + "epoch": 0.82, + "learning_rate": 8.34870809131177e-07, + "loss": 0.886, + "step": 27877 + }, + { + "epoch": 0.82, + "learning_rate": 8.346076167963946e-07, + "loss": 0.6913, + "step": 27878 + }, + { + "epoch": 0.82, + "learning_rate": 8.343444621759733e-07, + "loss": 0.6097, + "step": 27879 + }, + { + "epoch": 0.82, + "learning_rate": 8.340813452722968e-07, + "loss": 0.6513, + "step": 27880 + }, + { + "epoch": 0.82, + "learning_rate": 8.338182660877452e-07, + "loss": 0.8808, + "step": 27881 + }, + { + "epoch": 0.82, + "learning_rate": 8.33555224624702e-07, + "loss": 0.6277, + "step": 27882 + }, + { + "epoch": 0.82, + "learning_rate": 8.332922208855476e-07, + "loss": 0.4216, + "step": 27883 + }, + { + "epoch": 0.82, + "learning_rate": 8.330292548726648e-07, + "loss": 0.5813, + "step": 27884 + }, + { + "epoch": 0.82, + "learning_rate": 8.327663265884322e-07, + "loss": 0.6633, + "step": 27885 + }, + { + "epoch": 0.82, + "learning_rate": 8.325034360352335e-07, + "loss": 0.8129, + "step": 27886 + }, + { + "epoch": 0.82, + "learning_rate": 8.322405832154451e-07, + "loss": 0.7635, + "step": 27887 + }, + { + "epoch": 0.82, + "learning_rate": 8.319777681314511e-07, + "loss": 0.6753, + "step": 27888 + }, + { + "epoch": 0.82, + "learning_rate": 8.317149907856281e-07, + "loss": 0.6738, + "step": 27889 + }, + { + "epoch": 0.82, + "learning_rate": 8.314522511803575e-07, + "loss": 0.7395, + "step": 27890 + }, + { + "epoch": 0.82, + "learning_rate": 8.311895493180161e-07, + "loss": 0.855, + "step": 27891 + }, + { + "epoch": 0.82, + "learning_rate": 8.309268852009844e-07, + "loss": 0.6917, + "step": 27892 + }, + { + "epoch": 0.82, + "learning_rate": 8.306642588316389e-07, + "loss": 1.0248, + "step": 27893 + }, + { + "epoch": 0.82, + "learning_rate": 8.30401670212359e-07, + "loss": 0.7004, + "step": 27894 + }, + { + "epoch": 0.82, + "learning_rate": 8.301391193455205e-07, + "loss": 0.9684, + "step": 27895 + }, + { + "epoch": 0.82, + "learning_rate": 8.298766062335029e-07, + "loss": 0.8158, + "step": 27896 + }, + { + "epoch": 0.82, + "learning_rate": 8.296141308786804e-07, + "loss": 0.6581, + "step": 27897 + }, + { + "epoch": 0.82, + "learning_rate": 8.293516932834306e-07, + "loss": 0.5362, + "step": 27898 + }, + { + "epoch": 0.82, + "learning_rate": 8.29089293450131e-07, + "loss": 0.9536, + "step": 27899 + }, + { + "epoch": 0.82, + "learning_rate": 8.288269313811554e-07, + "loss": 0.7, + "step": 27900 + }, + { + "epoch": 0.82, + "learning_rate": 8.285646070788817e-07, + "loss": 0.8599, + "step": 27901 + }, + { + "epoch": 0.82, + "learning_rate": 8.283023205456819e-07, + "loss": 0.7173, + "step": 27902 + }, + { + "epoch": 0.82, + "learning_rate": 8.280400717839338e-07, + "loss": 0.8259, + "step": 27903 + }, + { + "epoch": 0.82, + "learning_rate": 8.27777860796009e-07, + "loss": 0.7836, + "step": 27904 + }, + { + "epoch": 0.82, + "learning_rate": 8.275156875842849e-07, + "loss": 0.635, + "step": 27905 + }, + { + "epoch": 0.82, + "learning_rate": 8.272535521511321e-07, + "loss": 0.7392, + "step": 27906 + }, + { + "epoch": 0.82, + "learning_rate": 8.26991454498925e-07, + "loss": 0.9196, + "step": 27907 + }, + { + "epoch": 0.82, + "learning_rate": 8.267293946300376e-07, + "loss": 0.7721, + "step": 27908 + }, + { + "epoch": 0.82, + "learning_rate": 8.26467372546843e-07, + "loss": 0.5966, + "step": 27909 + }, + { + "epoch": 0.82, + "learning_rate": 8.262053882517118e-07, + "loss": 0.8074, + "step": 27910 + }, + { + "epoch": 0.82, + "learning_rate": 8.25943441747018e-07, + "loss": 0.5784, + "step": 27911 + }, + { + "epoch": 0.82, + "learning_rate": 8.256815330351315e-07, + "loss": 0.7881, + "step": 27912 + }, + { + "epoch": 0.82, + "learning_rate": 8.254196621184257e-07, + "loss": 0.7021, + "step": 27913 + }, + { + "epoch": 0.82, + "learning_rate": 8.25157828999269e-07, + "loss": 0.7187, + "step": 27914 + }, + { + "epoch": 0.82, + "learning_rate": 8.248960336800349e-07, + "loss": 0.77, + "step": 27915 + }, + { + "epoch": 0.82, + "learning_rate": 8.246342761630909e-07, + "loss": 0.8819, + "step": 27916 + }, + { + "epoch": 0.82, + "learning_rate": 8.243725564508087e-07, + "loss": 0.6129, + "step": 27917 + }, + { + "epoch": 0.82, + "learning_rate": 8.241108745455589e-07, + "loss": 0.7955, + "step": 27918 + }, + { + "epoch": 0.82, + "learning_rate": 8.238492304497087e-07, + "loss": 0.7525, + "step": 27919 + }, + { + "epoch": 0.82, + "learning_rate": 8.235876241656293e-07, + "loss": 0.7541, + "step": 27920 + }, + { + "epoch": 0.82, + "learning_rate": 8.233260556956868e-07, + "loss": 0.8006, + "step": 27921 + }, + { + "epoch": 0.82, + "learning_rate": 8.23064525042252e-07, + "loss": 0.6078, + "step": 27922 + }, + { + "epoch": 0.82, + "learning_rate": 8.228030322076902e-07, + "loss": 0.6255, + "step": 27923 + }, + { + "epoch": 0.82, + "learning_rate": 8.225415771943724e-07, + "loss": 0.6702, + "step": 27924 + }, + { + "epoch": 0.82, + "learning_rate": 8.22280160004662e-07, + "loss": 0.7344, + "step": 27925 + }, + { + "epoch": 0.82, + "learning_rate": 8.220187806409297e-07, + "loss": 0.5684, + "step": 27926 + }, + { + "epoch": 0.82, + "learning_rate": 8.217574391055378e-07, + "loss": 0.7273, + "step": 27927 + }, + { + "epoch": 0.82, + "learning_rate": 8.214961354008571e-07, + "loss": 0.7824, + "step": 27928 + }, + { + "epoch": 0.82, + "learning_rate": 8.212348695292499e-07, + "loss": 0.7119, + "step": 27929 + }, + { + "epoch": 0.82, + "learning_rate": 8.209736414930852e-07, + "loss": 0.5763, + "step": 27930 + }, + { + "epoch": 0.82, + "learning_rate": 8.207124512947246e-07, + "loss": 0.8108, + "step": 27931 + }, + { + "epoch": 0.82, + "learning_rate": 8.204512989365359e-07, + "loss": 0.5746, + "step": 27932 + }, + { + "epoch": 0.82, + "learning_rate": 8.201901844208815e-07, + "loss": 0.9566, + "step": 27933 + }, + { + "epoch": 0.82, + "learning_rate": 8.199291077501276e-07, + "loss": 0.6884, + "step": 27934 + }, + { + "epoch": 0.82, + "learning_rate": 8.196680689266357e-07, + "loss": 0.8071, + "step": 27935 + }, + { + "epoch": 0.82, + "learning_rate": 8.194070679527716e-07, + "loss": 0.8628, + "step": 27936 + }, + { + "epoch": 0.82, + "learning_rate": 8.191461048308963e-07, + "loss": 0.5293, + "step": 27937 + }, + { + "epoch": 0.82, + "learning_rate": 8.188851795633734e-07, + "loss": 0.646, + "step": 27938 + }, + { + "epoch": 0.82, + "learning_rate": 8.186242921525673e-07, + "loss": 0.4784, + "step": 27939 + }, + { + "epoch": 0.82, + "learning_rate": 8.183634426008369e-07, + "loss": 0.514, + "step": 27940 + }, + { + "epoch": 0.82, + "learning_rate": 8.181026309105472e-07, + "loss": 0.9399, + "step": 27941 + }, + { + "epoch": 0.82, + "learning_rate": 8.178418570840563e-07, + "loss": 0.5464, + "step": 27942 + }, + { + "epoch": 0.82, + "learning_rate": 8.175811211237289e-07, + "loss": 0.4663, + "step": 27943 + }, + { + "epoch": 0.82, + "learning_rate": 8.173204230319221e-07, + "loss": 0.9163, + "step": 27944 + }, + { + "epoch": 0.82, + "learning_rate": 8.170597628109994e-07, + "loss": 0.5058, + "step": 27945 + }, + { + "epoch": 0.82, + "learning_rate": 8.167991404633174e-07, + "loss": 0.7928, + "step": 27946 + }, + { + "epoch": 0.82, + "learning_rate": 8.165385559912403e-07, + "loss": 0.6854, + "step": 27947 + }, + { + "epoch": 0.82, + "learning_rate": 8.16278009397124e-07, + "loss": 0.7564, + "step": 27948 + }, + { + "epoch": 0.82, + "learning_rate": 8.160175006833304e-07, + "loss": 0.572, + "step": 27949 + }, + { + "epoch": 0.82, + "learning_rate": 8.15757029852215e-07, + "loss": 0.5125, + "step": 27950 + }, + { + "epoch": 0.82, + "learning_rate": 8.154965969061385e-07, + "loss": 0.7197, + "step": 27951 + }, + { + "epoch": 0.82, + "learning_rate": 8.152362018474575e-07, + "loss": 0.7356, + "step": 27952 + }, + { + "epoch": 0.82, + "learning_rate": 8.149758446785311e-07, + "loss": 0.6364, + "step": 27953 + }, + { + "epoch": 0.82, + "learning_rate": 8.147155254017147e-07, + "loss": 0.5193, + "step": 27954 + }, + { + "epoch": 0.82, + "learning_rate": 8.144552440193681e-07, + "loss": 0.772, + "step": 27955 + }, + { + "epoch": 0.82, + "learning_rate": 8.141950005338445e-07, + "loss": 0.5038, + "step": 27956 + }, + { + "epoch": 0.82, + "learning_rate": 8.139347949475023e-07, + "loss": 0.6141, + "step": 27957 + }, + { + "epoch": 0.82, + "learning_rate": 8.136746272626983e-07, + "loss": 0.8127, + "step": 27958 + }, + { + "epoch": 0.82, + "learning_rate": 8.134144974817853e-07, + "loss": 0.9009, + "step": 27959 + }, + { + "epoch": 0.82, + "learning_rate": 8.131544056071222e-07, + "loss": 0.7695, + "step": 27960 + }, + { + "epoch": 0.82, + "learning_rate": 8.128943516410598e-07, + "loss": 0.4907, + "step": 27961 + }, + { + "epoch": 0.82, + "learning_rate": 8.126343355859567e-07, + "loss": 0.6324, + "step": 27962 + }, + { + "epoch": 0.82, + "learning_rate": 8.12374357444164e-07, + "loss": 0.5061, + "step": 27963 + }, + { + "epoch": 0.82, + "learning_rate": 8.121144172180378e-07, + "loss": 0.7402, + "step": 27964 + }, + { + "epoch": 0.82, + "learning_rate": 8.118545149099293e-07, + "loss": 0.6175, + "step": 27965 + }, + { + "epoch": 0.82, + "learning_rate": 8.115946505221939e-07, + "loss": 0.9202, + "step": 27966 + }, + { + "epoch": 0.82, + "learning_rate": 8.113348240571827e-07, + "loss": 0.2987, + "step": 27967 + }, + { + "epoch": 0.82, + "learning_rate": 8.110750355172514e-07, + "loss": 0.6665, + "step": 27968 + }, + { + "epoch": 0.82, + "learning_rate": 8.10815284904748e-07, + "loss": 0.7105, + "step": 27969 + }, + { + "epoch": 0.82, + "learning_rate": 8.105555722220282e-07, + "loss": 0.8569, + "step": 27970 + }, + { + "epoch": 0.82, + "learning_rate": 8.102958974714397e-07, + "loss": 0.5974, + "step": 27971 + }, + { + "epoch": 0.82, + "learning_rate": 8.100362606553374e-07, + "loss": 0.6229, + "step": 27972 + }, + { + "epoch": 0.82, + "learning_rate": 8.097766617760688e-07, + "loss": 0.5085, + "step": 27973 + }, + { + "epoch": 0.82, + "learning_rate": 8.09517100835987e-07, + "loss": 0.5412, + "step": 27974 + }, + { + "epoch": 0.82, + "learning_rate": 8.092575778374401e-07, + "loss": 0.6533, + "step": 27975 + }, + { + "epoch": 0.82, + "learning_rate": 8.089980927827784e-07, + "loss": 1.0946, + "step": 27976 + }, + { + "epoch": 0.82, + "learning_rate": 8.087386456743534e-07, + "loss": 0.772, + "step": 27977 + }, + { + "epoch": 0.82, + "learning_rate": 8.084792365145105e-07, + "loss": 0.6733, + "step": 27978 + }, + { + "epoch": 0.82, + "learning_rate": 8.082198653056023e-07, + "loss": 0.4973, + "step": 27979 + }, + { + "epoch": 0.82, + "learning_rate": 8.079605320499739e-07, + "loss": 0.7025, + "step": 27980 + }, + { + "epoch": 0.82, + "learning_rate": 8.077012367499759e-07, + "loss": 0.7787, + "step": 27981 + }, + { + "epoch": 0.82, + "learning_rate": 8.074419794079535e-07, + "loss": 0.6311, + "step": 27982 + }, + { + "epoch": 0.82, + "learning_rate": 8.071827600262572e-07, + "loss": 0.7849, + "step": 27983 + }, + { + "epoch": 0.82, + "learning_rate": 8.069235786072304e-07, + "loss": 0.6828, + "step": 27984 + }, + { + "epoch": 0.82, + "learning_rate": 8.066644351532238e-07, + "loss": 0.6076, + "step": 27985 + }, + { + "epoch": 0.82, + "learning_rate": 8.064053296665786e-07, + "loss": 0.6994, + "step": 27986 + }, + { + "epoch": 0.82, + "learning_rate": 8.061462621496463e-07, + "loss": 0.9274, + "step": 27987 + }, + { + "epoch": 0.82, + "learning_rate": 8.05887232604769e-07, + "loss": 0.6277, + "step": 27988 + }, + { + "epoch": 0.82, + "learning_rate": 8.056282410342942e-07, + "loss": 0.6299, + "step": 27989 + }, + { + "epoch": 0.82, + "learning_rate": 8.053692874405644e-07, + "loss": 0.761, + "step": 27990 + }, + { + "epoch": 0.82, + "learning_rate": 8.051103718259267e-07, + "loss": 0.898, + "step": 27991 + }, + { + "epoch": 0.82, + "learning_rate": 8.048514941927232e-07, + "loss": 0.9099, + "step": 27992 + }, + { + "epoch": 0.82, + "learning_rate": 8.045926545433003e-07, + "loss": 0.7901, + "step": 27993 + }, + { + "epoch": 0.82, + "learning_rate": 8.043338528799988e-07, + "loss": 0.7702, + "step": 27994 + }, + { + "epoch": 0.82, + "learning_rate": 8.040750892051646e-07, + "loss": 0.5653, + "step": 27995 + }, + { + "epoch": 0.82, + "learning_rate": 8.038163635211371e-07, + "loss": 0.6996, + "step": 27996 + }, + { + "epoch": 0.82, + "learning_rate": 8.035576758302632e-07, + "loss": 0.7123, + "step": 27997 + }, + { + "epoch": 0.82, + "learning_rate": 8.032990261348816e-07, + "loss": 0.5315, + "step": 27998 + }, + { + "epoch": 0.82, + "learning_rate": 8.030404144373371e-07, + "loss": 0.815, + "step": 27999 + }, + { + "epoch": 0.82, + "learning_rate": 8.027818407399695e-07, + "loss": 0.8777, + "step": 28000 + }, + { + "epoch": 0.82, + "learning_rate": 8.025233050451192e-07, + "loss": 0.8055, + "step": 28001 + }, + { + "epoch": 0.82, + "learning_rate": 8.022648073551292e-07, + "loss": 0.7307, + "step": 28002 + }, + { + "epoch": 0.82, + "learning_rate": 8.020063476723372e-07, + "loss": 0.794, + "step": 28003 + }, + { + "epoch": 0.82, + "learning_rate": 8.017479259990868e-07, + "loss": 0.3667, + "step": 28004 + }, + { + "epoch": 0.82, + "learning_rate": 8.014895423377145e-07, + "loss": 0.5741, + "step": 28005 + }, + { + "epoch": 0.82, + "learning_rate": 8.012311966905606e-07, + "loss": 0.6127, + "step": 28006 + }, + { + "epoch": 0.82, + "learning_rate": 8.009728890599655e-07, + "loss": 0.7519, + "step": 28007 + }, + { + "epoch": 0.82, + "learning_rate": 8.007146194482685e-07, + "loss": 0.7534, + "step": 28008 + }, + { + "epoch": 0.82, + "learning_rate": 8.004563878578053e-07, + "loss": 0.5399, + "step": 28009 + }, + { + "epoch": 0.82, + "learning_rate": 8.001981942909171e-07, + "loss": 0.9395, + "step": 28010 + }, + { + "epoch": 0.82, + "learning_rate": 7.999400387499384e-07, + "loss": 0.9649, + "step": 28011 + }, + { + "epoch": 0.82, + "learning_rate": 7.996819212372098e-07, + "loss": 0.9399, + "step": 28012 + }, + { + "epoch": 0.82, + "learning_rate": 7.994238417550659e-07, + "loss": 0.695, + "step": 28013 + }, + { + "epoch": 0.82, + "learning_rate": 7.99165800305845e-07, + "loss": 0.8328, + "step": 28014 + }, + { + "epoch": 0.82, + "learning_rate": 7.989077968918807e-07, + "loss": 0.8782, + "step": 28015 + }, + { + "epoch": 0.82, + "learning_rate": 7.986498315155133e-07, + "loss": 0.6126, + "step": 28016 + }, + { + "epoch": 0.82, + "learning_rate": 7.98391904179075e-07, + "loss": 0.7026, + "step": 28017 + }, + { + "epoch": 0.82, + "learning_rate": 7.981340148849038e-07, + "loss": 0.7541, + "step": 28018 + }, + { + "epoch": 0.82, + "learning_rate": 7.978761636353321e-07, + "loss": 0.7611, + "step": 28019 + }, + { + "epoch": 0.82, + "learning_rate": 7.976183504326968e-07, + "loss": 0.7542, + "step": 28020 + }, + { + "epoch": 0.82, + "learning_rate": 7.973605752793301e-07, + "loss": 0.9503, + "step": 28021 + }, + { + "epoch": 0.82, + "learning_rate": 7.97102838177568e-07, + "loss": 0.6884, + "step": 28022 + }, + { + "epoch": 0.82, + "learning_rate": 7.968451391297416e-07, + "loss": 0.6181, + "step": 28023 + }, + { + "epoch": 0.82, + "learning_rate": 7.965874781381872e-07, + "loss": 0.6584, + "step": 28024 + }, + { + "epoch": 0.82, + "learning_rate": 7.963298552052351e-07, + "loss": 0.5262, + "step": 28025 + }, + { + "epoch": 0.82, + "learning_rate": 7.960722703332185e-07, + "loss": 0.6975, + "step": 28026 + }, + { + "epoch": 0.82, + "learning_rate": 7.958147235244718e-07, + "loss": 0.7478, + "step": 28027 + }, + { + "epoch": 0.82, + "learning_rate": 7.95557214781324e-07, + "loss": 0.6205, + "step": 28028 + }, + { + "epoch": 0.82, + "learning_rate": 7.952997441061083e-07, + "loss": 0.5072, + "step": 28029 + }, + { + "epoch": 0.82, + "learning_rate": 7.950423115011546e-07, + "loss": 0.6009, + "step": 28030 + }, + { + "epoch": 0.82, + "learning_rate": 7.94784916968796e-07, + "loss": 0.8101, + "step": 28031 + }, + { + "epoch": 0.82, + "learning_rate": 7.9452756051136e-07, + "loss": 0.5996, + "step": 28032 + }, + { + "epoch": 0.82, + "learning_rate": 7.942702421311799e-07, + "loss": 0.5931, + "step": 28033 + }, + { + "epoch": 0.82, + "learning_rate": 7.940129618305819e-07, + "loss": 0.6258, + "step": 28034 + }, + { + "epoch": 0.82, + "learning_rate": 7.937557196118983e-07, + "loss": 0.4567, + "step": 28035 + }, + { + "epoch": 0.82, + "learning_rate": 7.934985154774571e-07, + "loss": 0.7547, + "step": 28036 + }, + { + "epoch": 0.82, + "learning_rate": 7.932413494295888e-07, + "loss": 0.6968, + "step": 28037 + }, + { + "epoch": 0.82, + "learning_rate": 7.92984221470619e-07, + "loss": 0.7001, + "step": 28038 + }, + { + "epoch": 0.82, + "learning_rate": 7.927271316028783e-07, + "loss": 0.6272, + "step": 28039 + }, + { + "epoch": 0.82, + "learning_rate": 7.924700798286922e-07, + "loss": 0.6727, + "step": 28040 + }, + { + "epoch": 0.82, + "learning_rate": 7.922130661503908e-07, + "loss": 0.6064, + "step": 28041 + }, + { + "epoch": 0.82, + "learning_rate": 7.919560905702983e-07, + "loss": 0.6714, + "step": 28042 + }, + { + "epoch": 0.82, + "learning_rate": 7.916991530907437e-07, + "loss": 0.732, + "step": 28043 + }, + { + "epoch": 0.82, + "learning_rate": 7.914422537140514e-07, + "loss": 0.6788, + "step": 28044 + }, + { + "epoch": 0.82, + "learning_rate": 7.911853924425489e-07, + "loss": 0.8108, + "step": 28045 + }, + { + "epoch": 0.82, + "learning_rate": 7.909285692785617e-07, + "loss": 0.5083, + "step": 28046 + }, + { + "epoch": 0.82, + "learning_rate": 7.906717842244143e-07, + "loss": 0.5486, + "step": 28047 + }, + { + "epoch": 0.82, + "learning_rate": 7.904150372824332e-07, + "loss": 0.5855, + "step": 28048 + }, + { + "epoch": 0.82, + "learning_rate": 7.901583284549413e-07, + "loss": 0.6899, + "step": 28049 + }, + { + "epoch": 0.82, + "learning_rate": 7.899016577442642e-07, + "loss": 0.8067, + "step": 28050 + }, + { + "epoch": 0.82, + "learning_rate": 7.896450251527244e-07, + "loss": 0.8824, + "step": 28051 + }, + { + "epoch": 0.82, + "learning_rate": 7.893884306826476e-07, + "loss": 0.7204, + "step": 28052 + }, + { + "epoch": 0.82, + "learning_rate": 7.891318743363552e-07, + "loss": 0.5385, + "step": 28053 + }, + { + "epoch": 0.82, + "learning_rate": 7.888753561161716e-07, + "loss": 0.6741, + "step": 28054 + }, + { + "epoch": 0.82, + "learning_rate": 7.886188760244162e-07, + "loss": 0.7384, + "step": 28055 + }, + { + "epoch": 0.82, + "learning_rate": 7.883624340634155e-07, + "loss": 0.6332, + "step": 28056 + }, + { + "epoch": 0.82, + "learning_rate": 7.881060302354892e-07, + "loss": 0.8476, + "step": 28057 + }, + { + "epoch": 0.82, + "learning_rate": 7.878496645429595e-07, + "loss": 0.7607, + "step": 28058 + }, + { + "epoch": 0.82, + "learning_rate": 7.875933369881467e-07, + "loss": 0.7953, + "step": 28059 + }, + { + "epoch": 0.82, + "learning_rate": 7.873370475733727e-07, + "loss": 0.5705, + "step": 28060 + }, + { + "epoch": 0.82, + "learning_rate": 7.870807963009569e-07, + "loss": 0.6928, + "step": 28061 + }, + { + "epoch": 0.82, + "learning_rate": 7.868245831732207e-07, + "loss": 0.8472, + "step": 28062 + }, + { + "epoch": 0.82, + "learning_rate": 7.865684081924824e-07, + "loss": 0.5323, + "step": 28063 + }, + { + "epoch": 0.82, + "learning_rate": 7.863122713610633e-07, + "loss": 0.7689, + "step": 28064 + }, + { + "epoch": 0.82, + "learning_rate": 7.860561726812804e-07, + "loss": 0.9467, + "step": 28065 + }, + { + "epoch": 0.82, + "learning_rate": 7.858001121554537e-07, + "loss": 0.5237, + "step": 28066 + }, + { + "epoch": 0.82, + "learning_rate": 7.855440897859024e-07, + "loss": 0.7817, + "step": 28067 + }, + { + "epoch": 0.82, + "learning_rate": 7.852881055749429e-07, + "loss": 0.7119, + "step": 28068 + }, + { + "epoch": 0.82, + "learning_rate": 7.850321595248944e-07, + "loss": 0.7996, + "step": 28069 + }, + { + "epoch": 0.82, + "learning_rate": 7.847762516380725e-07, + "loss": 0.6607, + "step": 28070 + }, + { + "epoch": 0.82, + "learning_rate": 7.845203819167968e-07, + "loss": 0.8133, + "step": 28071 + }, + { + "epoch": 0.82, + "learning_rate": 7.842645503633812e-07, + "loss": 0.6222, + "step": 28072 + }, + { + "epoch": 0.82, + "learning_rate": 7.840087569801446e-07, + "loss": 0.8987, + "step": 28073 + }, + { + "epoch": 0.82, + "learning_rate": 7.837530017694006e-07, + "loss": 0.5343, + "step": 28074 + }, + { + "epoch": 0.82, + "learning_rate": 7.834972847334666e-07, + "loss": 0.7003, + "step": 28075 + }, + { + "epoch": 0.82, + "learning_rate": 7.832416058746567e-07, + "loss": 0.6184, + "step": 28076 + }, + { + "epoch": 0.82, + "learning_rate": 7.829859651952882e-07, + "loss": 0.7036, + "step": 28077 + }, + { + "epoch": 0.82, + "learning_rate": 7.827303626976728e-07, + "loss": 0.9233, + "step": 28078 + }, + { + "epoch": 0.82, + "learning_rate": 7.824747983841269e-07, + "loss": 0.7536, + "step": 28079 + }, + { + "epoch": 0.82, + "learning_rate": 7.822192722569627e-07, + "loss": 0.665, + "step": 28080 + }, + { + "epoch": 0.82, + "learning_rate": 7.819637843184963e-07, + "loss": 0.6233, + "step": 28081 + }, + { + "epoch": 0.83, + "learning_rate": 7.817083345710374e-07, + "loss": 0.5504, + "step": 28082 + }, + { + "epoch": 0.83, + "learning_rate": 7.814529230169027e-07, + "loss": 0.6007, + "step": 28083 + }, + { + "epoch": 0.83, + "learning_rate": 7.811975496584012e-07, + "loss": 0.6703, + "step": 28084 + }, + { + "epoch": 0.83, + "learning_rate": 7.809422144978474e-07, + "loss": 0.7931, + "step": 28085 + }, + { + "epoch": 0.83, + "learning_rate": 7.806869175375531e-07, + "loss": 0.6719, + "step": 28086 + }, + { + "epoch": 0.83, + "learning_rate": 7.804316587798283e-07, + "loss": 0.5518, + "step": 28087 + }, + { + "epoch": 0.83, + "learning_rate": 7.801764382269867e-07, + "loss": 0.7442, + "step": 28088 + }, + { + "epoch": 0.83, + "learning_rate": 7.799212558813357e-07, + "loss": 0.5965, + "step": 28089 + }, + { + "epoch": 0.83, + "learning_rate": 7.796661117451892e-07, + "loss": 0.513, + "step": 28090 + }, + { + "epoch": 0.83, + "learning_rate": 7.794110058208549e-07, + "loss": 0.6452, + "step": 28091 + }, + { + "epoch": 0.83, + "learning_rate": 7.791559381106439e-07, + "loss": 0.6924, + "step": 28092 + }, + { + "epoch": 0.83, + "learning_rate": 7.789009086168647e-07, + "loss": 0.6584, + "step": 28093 + }, + { + "epoch": 0.83, + "learning_rate": 7.786459173418265e-07, + "loss": 0.6719, + "step": 28094 + }, + { + "epoch": 0.83, + "learning_rate": 7.783909642878385e-07, + "loss": 0.6528, + "step": 28095 + }, + { + "epoch": 0.83, + "learning_rate": 7.781360494572099e-07, + "loss": 0.7595, + "step": 28096 + }, + { + "epoch": 0.83, + "learning_rate": 7.778811728522473e-07, + "loss": 0.3976, + "step": 28097 + }, + { + "epoch": 0.83, + "learning_rate": 7.776263344752599e-07, + "loss": 0.5412, + "step": 28098 + }, + { + "epoch": 0.83, + "learning_rate": 7.773715343285526e-07, + "loss": 0.6954, + "step": 28099 + }, + { + "epoch": 0.83, + "learning_rate": 7.771167724144358e-07, + "loss": 1.0293, + "step": 28100 + }, + { + "epoch": 0.83, + "learning_rate": 7.76862048735213e-07, + "loss": 0.7168, + "step": 28101 + }, + { + "epoch": 0.83, + "learning_rate": 7.766073632931925e-07, + "loss": 0.8159, + "step": 28102 + }, + { + "epoch": 0.83, + "learning_rate": 7.763527160906792e-07, + "loss": 0.7286, + "step": 28103 + }, + { + "epoch": 0.83, + "learning_rate": 7.760981071299784e-07, + "loss": 0.7024, + "step": 28104 + }, + { + "epoch": 0.83, + "learning_rate": 7.758435364133976e-07, + "loss": 0.611, + "step": 28105 + }, + { + "epoch": 0.83, + "learning_rate": 7.755890039432395e-07, + "loss": 0.6984, + "step": 28106 + }, + { + "epoch": 0.83, + "learning_rate": 7.753345097218107e-07, + "loss": 0.614, + "step": 28107 + }, + { + "epoch": 0.83, + "learning_rate": 7.750800537514125e-07, + "loss": 0.8099, + "step": 28108 + }, + { + "epoch": 0.83, + "learning_rate": 7.748256360343521e-07, + "loss": 0.8409, + "step": 28109 + }, + { + "epoch": 0.83, + "learning_rate": 7.745712565729302e-07, + "loss": 0.9194, + "step": 28110 + }, + { + "epoch": 0.83, + "learning_rate": 7.743169153694524e-07, + "loss": 0.5223, + "step": 28111 + }, + { + "epoch": 0.83, + "learning_rate": 7.740626124262191e-07, + "loss": 0.6802, + "step": 28112 + }, + { + "epoch": 0.83, + "learning_rate": 7.738083477455355e-07, + "loss": 0.7742, + "step": 28113 + }, + { + "epoch": 0.83, + "learning_rate": 7.735541213296999e-07, + "loss": 0.7198, + "step": 28114 + }, + { + "epoch": 0.83, + "learning_rate": 7.732999331810192e-07, + "loss": 0.6442, + "step": 28115 + }, + { + "epoch": 0.83, + "learning_rate": 7.730457833017913e-07, + "loss": 0.787, + "step": 28116 + }, + { + "epoch": 0.83, + "learning_rate": 7.72791671694319e-07, + "loss": 0.7849, + "step": 28117 + }, + { + "epoch": 0.83, + "learning_rate": 7.725375983609018e-07, + "loss": 0.7561, + "step": 28118 + }, + { + "epoch": 0.83, + "learning_rate": 7.722835633038417e-07, + "loss": 0.9728, + "step": 28119 + }, + { + "epoch": 0.83, + "learning_rate": 7.720295665254369e-07, + "loss": 0.9929, + "step": 28120 + }, + { + "epoch": 0.83, + "learning_rate": 7.717756080279887e-07, + "loss": 0.7097, + "step": 28121 + }, + { + "epoch": 0.83, + "learning_rate": 7.715216878137954e-07, + "loss": 0.6745, + "step": 28122 + }, + { + "epoch": 0.83, + "learning_rate": 7.712678058851575e-07, + "loss": 0.7541, + "step": 28123 + }, + { + "epoch": 0.83, + "learning_rate": 7.710139622443713e-07, + "loss": 0.6091, + "step": 28124 + }, + { + "epoch": 0.83, + "learning_rate": 7.707601568937367e-07, + "loss": 1.0613, + "step": 28125 + }, + { + "epoch": 0.83, + "learning_rate": 7.705063898355531e-07, + "loss": 0.4929, + "step": 28126 + }, + { + "epoch": 0.83, + "learning_rate": 7.702526610721151e-07, + "loss": 0.5971, + "step": 28127 + }, + { + "epoch": 0.83, + "learning_rate": 7.699989706057226e-07, + "loss": 0.7087, + "step": 28128 + }, + { + "epoch": 0.83, + "learning_rate": 7.69745318438671e-07, + "loss": 0.5774, + "step": 28129 + }, + { + "epoch": 0.83, + "learning_rate": 7.69491704573258e-07, + "loss": 0.5994, + "step": 28130 + }, + { + "epoch": 0.83, + "learning_rate": 7.692381290117784e-07, + "loss": 0.6207, + "step": 28131 + }, + { + "epoch": 0.83, + "learning_rate": 7.689845917565303e-07, + "loss": 0.7656, + "step": 28132 + }, + { + "epoch": 0.83, + "learning_rate": 7.687310928098069e-07, + "loss": 0.606, + "step": 28133 + }, + { + "epoch": 0.83, + "learning_rate": 7.684776321739045e-07, + "loss": 0.7082, + "step": 28134 + }, + { + "epoch": 0.83, + "learning_rate": 7.682242098511183e-07, + "loss": 1.013, + "step": 28135 + }, + { + "epoch": 0.83, + "learning_rate": 7.679708258437435e-07, + "loss": 0.513, + "step": 28136 + }, + { + "epoch": 0.83, + "learning_rate": 7.677174801540727e-07, + "loss": 0.8479, + "step": 28137 + }, + { + "epoch": 0.83, + "learning_rate": 7.674641727844012e-07, + "loss": 0.692, + "step": 28138 + }, + { + "epoch": 0.83, + "learning_rate": 7.672109037370207e-07, + "loss": 0.6539, + "step": 28139 + }, + { + "epoch": 0.83, + "learning_rate": 7.669576730142265e-07, + "loss": 0.9927, + "step": 28140 + }, + { + "epoch": 0.83, + "learning_rate": 7.667044806183093e-07, + "loss": 0.6904, + "step": 28141 + }, + { + "epoch": 0.83, + "learning_rate": 7.664513265515639e-07, + "loss": 0.3952, + "step": 28142 + }, + { + "epoch": 0.83, + "learning_rate": 7.661982108162791e-07, + "loss": 0.9961, + "step": 28143 + }, + { + "epoch": 0.83, + "learning_rate": 7.659451334147494e-07, + "loss": 0.7172, + "step": 28144 + }, + { + "epoch": 0.83, + "learning_rate": 7.656920943492662e-07, + "loss": 0.6707, + "step": 28145 + }, + { + "epoch": 0.83, + "learning_rate": 7.65439093622119e-07, + "loss": 0.5784, + "step": 28146 + }, + { + "epoch": 0.83, + "learning_rate": 7.651861312356007e-07, + "loss": 0.8299, + "step": 28147 + }, + { + "epoch": 0.83, + "learning_rate": 7.649332071919985e-07, + "loss": 0.612, + "step": 28148 + }, + { + "epoch": 0.83, + "learning_rate": 7.646803214936061e-07, + "loss": 0.6065, + "step": 28149 + }, + { + "epoch": 0.83, + "learning_rate": 7.644274741427099e-07, + "loss": 0.5211, + "step": 28150 + }, + { + "epoch": 0.83, + "learning_rate": 7.641746651416016e-07, + "loss": 0.6864, + "step": 28151 + }, + { + "epoch": 0.83, + "learning_rate": 7.639218944925686e-07, + "loss": 1.0436, + "step": 28152 + }, + { + "epoch": 0.83, + "learning_rate": 7.636691621978998e-07, + "loss": 0.8878, + "step": 28153 + }, + { + "epoch": 0.83, + "learning_rate": 7.634164682598838e-07, + "loss": 0.6258, + "step": 28154 + }, + { + "epoch": 0.83, + "learning_rate": 7.6316381268081e-07, + "loss": 0.8538, + "step": 28155 + }, + { + "epoch": 0.83, + "learning_rate": 7.629111954629636e-07, + "loss": 0.6738, + "step": 28156 + }, + { + "epoch": 0.83, + "learning_rate": 7.626586166086342e-07, + "loss": 0.7423, + "step": 28157 + }, + { + "epoch": 0.83, + "learning_rate": 7.624060761201058e-07, + "loss": 0.5541, + "step": 28158 + }, + { + "epoch": 0.83, + "learning_rate": 7.621535739996677e-07, + "loss": 0.7854, + "step": 28159 + }, + { + "epoch": 0.83, + "learning_rate": 7.619011102496044e-07, + "loss": 0.9335, + "step": 28160 + }, + { + "epoch": 0.83, + "learning_rate": 7.616486848722027e-07, + "loss": 0.4822, + "step": 28161 + }, + { + "epoch": 0.83, + "learning_rate": 7.61396297869747e-07, + "loss": 0.769, + "step": 28162 + }, + { + "epoch": 0.83, + "learning_rate": 7.611439492445232e-07, + "loss": 0.859, + "step": 28163 + }, + { + "epoch": 0.83, + "learning_rate": 7.608916389988175e-07, + "loss": 0.7541, + "step": 28164 + }, + { + "epoch": 0.83, + "learning_rate": 7.606393671349116e-07, + "loss": 0.6069, + "step": 28165 + }, + { + "epoch": 0.83, + "learning_rate": 7.603871336550922e-07, + "loss": 0.8066, + "step": 28166 + }, + { + "epoch": 0.83, + "learning_rate": 7.601349385616403e-07, + "loss": 0.8087, + "step": 28167 + }, + { + "epoch": 0.83, + "learning_rate": 7.598827818568427e-07, + "loss": 0.9175, + "step": 28168 + }, + { + "epoch": 0.83, + "learning_rate": 7.59630663542979e-07, + "loss": 0.6955, + "step": 28169 + }, + { + "epoch": 0.83, + "learning_rate": 7.593785836223356e-07, + "loss": 0.5843, + "step": 28170 + }, + { + "epoch": 0.83, + "learning_rate": 7.591265420971911e-07, + "loss": 0.706, + "step": 28171 + }, + { + "epoch": 0.83, + "learning_rate": 7.588745389698304e-07, + "loss": 0.6988, + "step": 28172 + }, + { + "epoch": 0.83, + "learning_rate": 7.586225742425324e-07, + "loss": 0.6568, + "step": 28173 + }, + { + "epoch": 0.83, + "learning_rate": 7.583706479175823e-07, + "loss": 0.5891, + "step": 28174 + }, + { + "epoch": 0.83, + "learning_rate": 7.581187599972573e-07, + "loss": 0.7548, + "step": 28175 + }, + { + "epoch": 0.83, + "learning_rate": 7.578669104838415e-07, + "loss": 0.8777, + "step": 28176 + }, + { + "epoch": 0.83, + "learning_rate": 7.576150993796122e-07, + "loss": 0.6726, + "step": 28177 + }, + { + "epoch": 0.83, + "learning_rate": 7.573633266868518e-07, + "loss": 0.5722, + "step": 28178 + }, + { + "epoch": 0.83, + "learning_rate": 7.571115924078371e-07, + "loss": 0.7189, + "step": 28179 + }, + { + "epoch": 0.83, + "learning_rate": 7.568598965448504e-07, + "loss": 0.6012, + "step": 28180 + }, + { + "epoch": 0.83, + "learning_rate": 7.566082391001683e-07, + "loss": 0.6621, + "step": 28181 + }, + { + "epoch": 0.83, + "learning_rate": 7.563566200760708e-07, + "loss": 1.0013, + "step": 28182 + }, + { + "epoch": 0.83, + "learning_rate": 7.561050394748348e-07, + "loss": 0.5934, + "step": 28183 + }, + { + "epoch": 0.83, + "learning_rate": 7.558534972987386e-07, + "loss": 0.799, + "step": 28184 + }, + { + "epoch": 0.83, + "learning_rate": 7.556019935500613e-07, + "loss": 0.4984, + "step": 28185 + }, + { + "epoch": 0.83, + "learning_rate": 7.553505282310775e-07, + "loss": 0.7655, + "step": 28186 + }, + { + "epoch": 0.83, + "learning_rate": 7.550991013440667e-07, + "loss": 0.7737, + "step": 28187 + }, + { + "epoch": 0.83, + "learning_rate": 7.548477128913028e-07, + "loss": 0.6455, + "step": 28188 + }, + { + "epoch": 0.83, + "learning_rate": 7.545963628750641e-07, + "loss": 0.731, + "step": 28189 + }, + { + "epoch": 0.83, + "learning_rate": 7.543450512976242e-07, + "loss": 0.9363, + "step": 28190 + }, + { + "epoch": 0.83, + "learning_rate": 7.540937781612612e-07, + "loss": 0.6601, + "step": 28191 + }, + { + "epoch": 0.83, + "learning_rate": 7.538425434682473e-07, + "loss": 0.7897, + "step": 28192 + }, + { + "epoch": 0.83, + "learning_rate": 7.535913472208584e-07, + "loss": 0.5337, + "step": 28193 + }, + { + "epoch": 0.83, + "learning_rate": 7.533401894213693e-07, + "loss": 0.5427, + "step": 28194 + }, + { + "epoch": 0.83, + "learning_rate": 7.53089070072055e-07, + "loss": 0.6673, + "step": 28195 + }, + { + "epoch": 0.83, + "learning_rate": 7.528379891751869e-07, + "loss": 0.9006, + "step": 28196 + }, + { + "epoch": 0.83, + "learning_rate": 7.52586946733041e-07, + "loss": 0.9503, + "step": 28197 + }, + { + "epoch": 0.83, + "learning_rate": 7.523359427478871e-07, + "loss": 0.717, + "step": 28198 + }, + { + "epoch": 0.83, + "learning_rate": 7.520849772220007e-07, + "loss": 0.7793, + "step": 28199 + }, + { + "epoch": 0.83, + "learning_rate": 7.518340501576521e-07, + "loss": 0.9922, + "step": 28200 + }, + { + "epoch": 0.83, + "learning_rate": 7.515831615571146e-07, + "loss": 0.8454, + "step": 28201 + }, + { + "epoch": 0.83, + "learning_rate": 7.513323114226584e-07, + "loss": 0.7375, + "step": 28202 + }, + { + "epoch": 0.83, + "learning_rate": 7.510814997565558e-07, + "loss": 0.9493, + "step": 28203 + }, + { + "epoch": 0.83, + "learning_rate": 7.508307265610787e-07, + "loss": 0.745, + "step": 28204 + }, + { + "epoch": 0.83, + "learning_rate": 7.505799918384949e-07, + "loss": 0.6228, + "step": 28205 + }, + { + "epoch": 0.83, + "learning_rate": 7.503292955910774e-07, + "loss": 0.7505, + "step": 28206 + }, + { + "epoch": 0.83, + "learning_rate": 7.500786378210939e-07, + "loss": 0.8008, + "step": 28207 + }, + { + "epoch": 0.83, + "learning_rate": 7.49828018530816e-07, + "loss": 0.5736, + "step": 28208 + }, + { + "epoch": 0.83, + "learning_rate": 7.495774377225107e-07, + "loss": 0.7026, + "step": 28209 + }, + { + "epoch": 0.83, + "learning_rate": 7.493268953984483e-07, + "loss": 0.6704, + "step": 28210 + }, + { + "epoch": 0.83, + "learning_rate": 7.490763915608962e-07, + "loss": 0.6909, + "step": 28211 + }, + { + "epoch": 0.83, + "learning_rate": 7.488259262121228e-07, + "loss": 0.629, + "step": 28212 + }, + { + "epoch": 0.83, + "learning_rate": 7.485754993543964e-07, + "loss": 0.8937, + "step": 28213 + }, + { + "epoch": 0.83, + "learning_rate": 7.483251109899852e-07, + "loss": 0.7151, + "step": 28214 + }, + { + "epoch": 0.83, + "learning_rate": 7.480747611211542e-07, + "loss": 0.7281, + "step": 28215 + }, + { + "epoch": 0.83, + "learning_rate": 7.478244497501724e-07, + "loss": 0.6404, + "step": 28216 + }, + { + "epoch": 0.83, + "learning_rate": 7.475741768793032e-07, + "loss": 0.4256, + "step": 28217 + }, + { + "epoch": 0.83, + "learning_rate": 7.473239425108164e-07, + "loss": 0.7708, + "step": 28218 + }, + { + "epoch": 0.83, + "learning_rate": 7.470737466469735e-07, + "loss": 0.7269, + "step": 28219 + }, + { + "epoch": 0.83, + "learning_rate": 7.468235892900439e-07, + "loss": 0.9673, + "step": 28220 + }, + { + "epoch": 0.83, + "learning_rate": 7.465734704422895e-07, + "loss": 0.5236, + "step": 28221 + }, + { + "epoch": 0.83, + "learning_rate": 7.463233901059758e-07, + "loss": 0.9229, + "step": 28222 + }, + { + "epoch": 0.83, + "learning_rate": 7.460733482833682e-07, + "loss": 0.8732, + "step": 28223 + }, + { + "epoch": 0.83, + "learning_rate": 7.458233449767288e-07, + "loss": 0.6889, + "step": 28224 + }, + { + "epoch": 0.83, + "learning_rate": 7.455733801883236e-07, + "loss": 0.6449, + "step": 28225 + }, + { + "epoch": 0.83, + "learning_rate": 7.453234539204135e-07, + "loss": 0.5691, + "step": 28226 + }, + { + "epoch": 0.83, + "learning_rate": 7.450735661752629e-07, + "loss": 0.6814, + "step": 28227 + }, + { + "epoch": 0.83, + "learning_rate": 7.448237169551326e-07, + "loss": 0.5297, + "step": 28228 + }, + { + "epoch": 0.83, + "learning_rate": 7.445739062622875e-07, + "loss": 0.7588, + "step": 28229 + }, + { + "epoch": 0.83, + "learning_rate": 7.443241340989865e-07, + "loss": 0.7743, + "step": 28230 + }, + { + "epoch": 0.83, + "learning_rate": 7.440744004674933e-07, + "loss": 1.2574, + "step": 28231 + }, + { + "epoch": 0.83, + "learning_rate": 7.438247053700665e-07, + "loss": 0.9074, + "step": 28232 + }, + { + "epoch": 0.83, + "learning_rate": 7.435750488089704e-07, + "loss": 0.5257, + "step": 28233 + }, + { + "epoch": 0.83, + "learning_rate": 7.433254307864623e-07, + "loss": 0.631, + "step": 28234 + }, + { + "epoch": 0.83, + "learning_rate": 7.430758513048053e-07, + "loss": 0.7405, + "step": 28235 + }, + { + "epoch": 0.83, + "learning_rate": 7.428263103662558e-07, + "loss": 0.6522, + "step": 28236 + }, + { + "epoch": 0.83, + "learning_rate": 7.425768079730767e-07, + "loss": 0.5102, + "step": 28237 + }, + { + "epoch": 0.83, + "learning_rate": 7.423273441275236e-07, + "loss": 0.6422, + "step": 28238 + }, + { + "epoch": 0.83, + "learning_rate": 7.420779188318584e-07, + "loss": 0.8401, + "step": 28239 + }, + { + "epoch": 0.83, + "learning_rate": 7.418285320883362e-07, + "loss": 0.579, + "step": 28240 + }, + { + "epoch": 0.83, + "learning_rate": 7.415791838992181e-07, + "loss": 0.725, + "step": 28241 + }, + { + "epoch": 0.83, + "learning_rate": 7.413298742667591e-07, + "loss": 0.463, + "step": 28242 + }, + { + "epoch": 0.83, + "learning_rate": 7.410806031932178e-07, + "loss": 0.8769, + "step": 28243 + }, + { + "epoch": 0.83, + "learning_rate": 7.408313706808518e-07, + "loss": 0.4847, + "step": 28244 + }, + { + "epoch": 0.83, + "learning_rate": 7.405821767319166e-07, + "loss": 0.5358, + "step": 28245 + }, + { + "epoch": 0.83, + "learning_rate": 7.403330213486692e-07, + "loss": 0.5261, + "step": 28246 + }, + { + "epoch": 0.83, + "learning_rate": 7.400839045333647e-07, + "loss": 0.7146, + "step": 28247 + }, + { + "epoch": 0.83, + "learning_rate": 7.398348262882598e-07, + "loss": 0.992, + "step": 28248 + }, + { + "epoch": 0.83, + "learning_rate": 7.395857866156081e-07, + "loss": 0.4585, + "step": 28249 + }, + { + "epoch": 0.83, + "learning_rate": 7.393367855176664e-07, + "loss": 0.7074, + "step": 28250 + }, + { + "epoch": 0.83, + "learning_rate": 7.390878229966869e-07, + "loss": 0.6246, + "step": 28251 + }, + { + "epoch": 0.83, + "learning_rate": 7.388388990549255e-07, + "loss": 0.4988, + "step": 28252 + }, + { + "epoch": 0.83, + "learning_rate": 7.38590013694635e-07, + "loss": 0.7019, + "step": 28253 + }, + { + "epoch": 0.83, + "learning_rate": 7.383411669180707e-07, + "loss": 1.0451, + "step": 28254 + }, + { + "epoch": 0.83, + "learning_rate": 7.380923587274836e-07, + "loss": 0.783, + "step": 28255 + }, + { + "epoch": 0.83, + "learning_rate": 7.378435891251285e-07, + "loss": 0.7838, + "step": 28256 + }, + { + "epoch": 0.83, + "learning_rate": 7.375948581132553e-07, + "loss": 0.8849, + "step": 28257 + }, + { + "epoch": 0.83, + "learning_rate": 7.373461656941183e-07, + "loss": 0.5932, + "step": 28258 + }, + { + "epoch": 0.83, + "learning_rate": 7.370975118699669e-07, + "loss": 0.664, + "step": 28259 + }, + { + "epoch": 0.83, + "learning_rate": 7.368488966430553e-07, + "loss": 0.8089, + "step": 28260 + }, + { + "epoch": 0.83, + "learning_rate": 7.366003200156324e-07, + "loss": 0.8107, + "step": 28261 + }, + { + "epoch": 0.83, + "learning_rate": 7.363517819899491e-07, + "loss": 0.6791, + "step": 28262 + }, + { + "epoch": 0.83, + "learning_rate": 7.361032825682568e-07, + "loss": 0.5489, + "step": 28263 + }, + { + "epoch": 0.83, + "learning_rate": 7.358548217528044e-07, + "loss": 0.7386, + "step": 28264 + }, + { + "epoch": 0.83, + "learning_rate": 7.356063995458429e-07, + "loss": 0.8832, + "step": 28265 + }, + { + "epoch": 0.83, + "learning_rate": 7.353580159496193e-07, + "loss": 0.5623, + "step": 28266 + }, + { + "epoch": 0.83, + "learning_rate": 7.351096709663852e-07, + "loss": 0.5803, + "step": 28267 + }, + { + "epoch": 0.83, + "learning_rate": 7.348613645983865e-07, + "loss": 0.5695, + "step": 28268 + }, + { + "epoch": 0.83, + "learning_rate": 7.346130968478737e-07, + "loss": 0.7528, + "step": 28269 + }, + { + "epoch": 0.83, + "learning_rate": 7.343648677170928e-07, + "loss": 0.8491, + "step": 28270 + }, + { + "epoch": 0.83, + "learning_rate": 7.34116677208293e-07, + "loss": 0.8448, + "step": 28271 + }, + { + "epoch": 0.83, + "learning_rate": 7.338685253237188e-07, + "loss": 0.7362, + "step": 28272 + }, + { + "epoch": 0.83, + "learning_rate": 7.33620412065621e-07, + "loss": 0.8896, + "step": 28273 + }, + { + "epoch": 0.83, + "learning_rate": 7.333723374362428e-07, + "loss": 0.781, + "step": 28274 + }, + { + "epoch": 0.83, + "learning_rate": 7.331243014378326e-07, + "loss": 0.8634, + "step": 28275 + }, + { + "epoch": 0.83, + "learning_rate": 7.328763040726338e-07, + "loss": 0.8948, + "step": 28276 + }, + { + "epoch": 0.83, + "learning_rate": 7.326283453428945e-07, + "loss": 0.6845, + "step": 28277 + }, + { + "epoch": 0.83, + "learning_rate": 7.323804252508571e-07, + "loss": 0.7571, + "step": 28278 + }, + { + "epoch": 0.83, + "learning_rate": 7.321325437987686e-07, + "loss": 0.8902, + "step": 28279 + }, + { + "epoch": 0.83, + "learning_rate": 7.318847009888713e-07, + "loss": 0.8425, + "step": 28280 + }, + { + "epoch": 0.83, + "learning_rate": 7.316368968234106e-07, + "loss": 0.7183, + "step": 28281 + }, + { + "epoch": 0.83, + "learning_rate": 7.313891313046306e-07, + "loss": 0.5906, + "step": 28282 + }, + { + "epoch": 0.83, + "learning_rate": 7.311414044347725e-07, + "loss": 0.7471, + "step": 28283 + }, + { + "epoch": 0.83, + "learning_rate": 7.308937162160817e-07, + "loss": 0.7874, + "step": 28284 + }, + { + "epoch": 0.83, + "learning_rate": 7.306460666507992e-07, + "loss": 0.6369, + "step": 28285 + }, + { + "epoch": 0.83, + "learning_rate": 7.303984557411686e-07, + "loss": 0.9363, + "step": 28286 + }, + { + "epoch": 0.83, + "learning_rate": 7.3015088348943e-07, + "loss": 0.8901, + "step": 28287 + }, + { + "epoch": 0.83, + "learning_rate": 7.299033498978269e-07, + "loss": 0.6846, + "step": 28288 + }, + { + "epoch": 0.83, + "learning_rate": 7.296558549685989e-07, + "loss": 0.877, + "step": 28289 + }, + { + "epoch": 0.83, + "learning_rate": 7.294083987039885e-07, + "loss": 0.7477, + "step": 28290 + }, + { + "epoch": 0.83, + "learning_rate": 7.291609811062333e-07, + "loss": 0.9651, + "step": 28291 + }, + { + "epoch": 0.83, + "learning_rate": 7.289136021775778e-07, + "loss": 0.6611, + "step": 28292 + }, + { + "epoch": 0.83, + "learning_rate": 7.286662619202583e-07, + "loss": 0.5513, + "step": 28293 + }, + { + "epoch": 0.83, + "learning_rate": 7.284189603365166e-07, + "loss": 0.724, + "step": 28294 + }, + { + "epoch": 0.83, + "learning_rate": 7.281716974285896e-07, + "loss": 0.5301, + "step": 28295 + }, + { + "epoch": 0.83, + "learning_rate": 7.279244731987184e-07, + "loss": 0.9809, + "step": 28296 + }, + { + "epoch": 0.83, + "learning_rate": 7.27677287649139e-07, + "loss": 0.7273, + "step": 28297 + }, + { + "epoch": 0.83, + "learning_rate": 7.274301407820916e-07, + "loss": 0.9323, + "step": 28298 + }, + { + "epoch": 0.83, + "learning_rate": 7.271830325998119e-07, + "loss": 0.7383, + "step": 28299 + }, + { + "epoch": 0.83, + "learning_rate": 7.269359631045397e-07, + "loss": 0.8599, + "step": 28300 + }, + { + "epoch": 0.83, + "learning_rate": 7.266889322985099e-07, + "loss": 0.5119, + "step": 28301 + }, + { + "epoch": 0.83, + "learning_rate": 7.264419401839595e-07, + "loss": 0.6807, + "step": 28302 + }, + { + "epoch": 0.83, + "learning_rate": 7.261949867631269e-07, + "loss": 0.5868, + "step": 28303 + }, + { + "epoch": 0.83, + "learning_rate": 7.259480720382445e-07, + "loss": 0.6694, + "step": 28304 + }, + { + "epoch": 0.83, + "learning_rate": 7.257011960115517e-07, + "loss": 0.8446, + "step": 28305 + }, + { + "epoch": 0.83, + "learning_rate": 7.254543586852808e-07, + "loss": 0.7451, + "step": 28306 + }, + { + "epoch": 0.83, + "learning_rate": 7.252075600616687e-07, + "loss": 0.682, + "step": 28307 + }, + { + "epoch": 0.83, + "learning_rate": 7.249608001429481e-07, + "loss": 0.6093, + "step": 28308 + }, + { + "epoch": 0.83, + "learning_rate": 7.247140789313556e-07, + "loss": 1.2093, + "step": 28309 + }, + { + "epoch": 0.83, + "learning_rate": 7.244673964291221e-07, + "loss": 0.8914, + "step": 28310 + }, + { + "epoch": 0.83, + "learning_rate": 7.242207526384831e-07, + "loss": 0.5817, + "step": 28311 + }, + { + "epoch": 0.83, + "learning_rate": 7.239741475616713e-07, + "loss": 0.7645, + "step": 28312 + }, + { + "epoch": 0.83, + "learning_rate": 7.237275812009209e-07, + "loss": 0.5022, + "step": 28313 + }, + { + "epoch": 0.83, + "learning_rate": 7.234810535584619e-07, + "loss": 0.8628, + "step": 28314 + }, + { + "epoch": 0.83, + "learning_rate": 7.232345646365286e-07, + "loss": 0.7982, + "step": 28315 + }, + { + "epoch": 0.83, + "learning_rate": 7.229881144373507e-07, + "loss": 0.7818, + "step": 28316 + }, + { + "epoch": 0.83, + "learning_rate": 7.227417029631623e-07, + "loss": 0.4895, + "step": 28317 + }, + { + "epoch": 0.83, + "learning_rate": 7.224953302161908e-07, + "loss": 0.8919, + "step": 28318 + }, + { + "epoch": 0.83, + "learning_rate": 7.222489961986706e-07, + "loss": 0.645, + "step": 28319 + }, + { + "epoch": 0.83, + "learning_rate": 7.220027009128294e-07, + "loss": 0.6643, + "step": 28320 + }, + { + "epoch": 0.83, + "learning_rate": 7.217564443608976e-07, + "loss": 0.6333, + "step": 28321 + }, + { + "epoch": 0.83, + "learning_rate": 7.215102265451063e-07, + "loss": 0.6609, + "step": 28322 + }, + { + "epoch": 0.83, + "learning_rate": 7.212640474676846e-07, + "loss": 0.5314, + "step": 28323 + }, + { + "epoch": 0.83, + "learning_rate": 7.210179071308598e-07, + "loss": 0.5393, + "step": 28324 + }, + { + "epoch": 0.83, + "learning_rate": 7.207718055368629e-07, + "loss": 0.6214, + "step": 28325 + }, + { + "epoch": 0.83, + "learning_rate": 7.205257426879203e-07, + "loss": 0.6617, + "step": 28326 + }, + { + "epoch": 0.83, + "learning_rate": 7.202797185862598e-07, + "loss": 0.6111, + "step": 28327 + }, + { + "epoch": 0.83, + "learning_rate": 7.200337332341107e-07, + "loss": 0.6345, + "step": 28328 + }, + { + "epoch": 0.83, + "learning_rate": 7.197877866336978e-07, + "loss": 0.6995, + "step": 28329 + }, + { + "epoch": 0.83, + "learning_rate": 7.195418787872505e-07, + "loss": 0.7611, + "step": 28330 + }, + { + "epoch": 0.83, + "learning_rate": 7.192960096969914e-07, + "loss": 0.7247, + "step": 28331 + }, + { + "epoch": 0.83, + "learning_rate": 7.190501793651516e-07, + "loss": 0.7446, + "step": 28332 + }, + { + "epoch": 0.83, + "learning_rate": 7.188043877939538e-07, + "loss": 0.8469, + "step": 28333 + }, + { + "epoch": 0.83, + "learning_rate": 7.185586349856255e-07, + "loss": 0.8712, + "step": 28334 + }, + { + "epoch": 0.83, + "learning_rate": 7.183129209423889e-07, + "loss": 0.8504, + "step": 28335 + }, + { + "epoch": 0.83, + "learning_rate": 7.180672456664717e-07, + "loss": 0.7583, + "step": 28336 + }, + { + "epoch": 0.83, + "learning_rate": 7.178216091600959e-07, + "loss": 0.7104, + "step": 28337 + }, + { + "epoch": 0.83, + "learning_rate": 7.175760114254877e-07, + "loss": 0.5848, + "step": 28338 + }, + { + "epoch": 0.83, + "learning_rate": 7.173304524648689e-07, + "loss": 0.8, + "step": 28339 + }, + { + "epoch": 0.83, + "learning_rate": 7.170849322804629e-07, + "loss": 0.5636, + "step": 28340 + }, + { + "epoch": 0.83, + "learning_rate": 7.168394508744941e-07, + "loss": 0.9279, + "step": 28341 + }, + { + "epoch": 0.83, + "learning_rate": 7.165940082491857e-07, + "loss": 0.6264, + "step": 28342 + }, + { + "epoch": 0.83, + "learning_rate": 7.163486044067574e-07, + "loss": 0.8488, + "step": 28343 + }, + { + "epoch": 0.83, + "learning_rate": 7.161032393494338e-07, + "loss": 0.5628, + "step": 28344 + }, + { + "epoch": 0.83, + "learning_rate": 7.158579130794341e-07, + "loss": 0.7222, + "step": 28345 + }, + { + "epoch": 0.83, + "learning_rate": 7.156126255989815e-07, + "loss": 0.6428, + "step": 28346 + }, + { + "epoch": 0.83, + "learning_rate": 7.153673769102954e-07, + "loss": 0.6869, + "step": 28347 + }, + { + "epoch": 0.83, + "learning_rate": 7.151221670155978e-07, + "loss": 0.6003, + "step": 28348 + }, + { + "epoch": 0.83, + "learning_rate": 7.148769959171065e-07, + "loss": 0.7512, + "step": 28349 + }, + { + "epoch": 0.83, + "learning_rate": 7.146318636170435e-07, + "loss": 0.7325, + "step": 28350 + }, + { + "epoch": 0.83, + "learning_rate": 7.143867701176288e-07, + "loss": 0.7655, + "step": 28351 + }, + { + "epoch": 0.83, + "learning_rate": 7.141417154210789e-07, + "loss": 0.8386, + "step": 28352 + }, + { + "epoch": 0.83, + "learning_rate": 7.138966995296153e-07, + "loss": 0.7366, + "step": 28353 + }, + { + "epoch": 0.83, + "learning_rate": 7.136517224454542e-07, + "loss": 1.0679, + "step": 28354 + }, + { + "epoch": 0.83, + "learning_rate": 7.134067841708159e-07, + "loss": 0.8659, + "step": 28355 + }, + { + "epoch": 0.83, + "learning_rate": 7.131618847079159e-07, + "loss": 0.917, + "step": 28356 + }, + { + "epoch": 0.83, + "learning_rate": 7.129170240589733e-07, + "loss": 0.7075, + "step": 28357 + }, + { + "epoch": 0.83, + "learning_rate": 7.126722022262034e-07, + "loss": 0.8807, + "step": 28358 + }, + { + "epoch": 0.83, + "learning_rate": 7.124274192118252e-07, + "loss": 0.6693, + "step": 28359 + }, + { + "epoch": 0.83, + "learning_rate": 7.121826750180511e-07, + "loss": 0.6369, + "step": 28360 + }, + { + "epoch": 0.83, + "learning_rate": 7.119379696471024e-07, + "loss": 0.5036, + "step": 28361 + }, + { + "epoch": 0.83, + "learning_rate": 7.116933031011902e-07, + "loss": 0.616, + "step": 28362 + }, + { + "epoch": 0.83, + "learning_rate": 7.114486753825334e-07, + "loss": 0.8953, + "step": 28363 + }, + { + "epoch": 0.83, + "learning_rate": 7.112040864933434e-07, + "loss": 0.6614, + "step": 28364 + }, + { + "epoch": 0.83, + "learning_rate": 7.109595364358373e-07, + "loss": 0.6833, + "step": 28365 + }, + { + "epoch": 0.83, + "learning_rate": 7.10715025212228e-07, + "loss": 0.9031, + "step": 28366 + }, + { + "epoch": 0.83, + "learning_rate": 7.104705528247302e-07, + "loss": 0.5959, + "step": 28367 + }, + { + "epoch": 0.83, + "learning_rate": 7.102261192755566e-07, + "loss": 1.0878, + "step": 28368 + }, + { + "epoch": 0.83, + "learning_rate": 7.09981724566921e-07, + "loss": 0.5775, + "step": 28369 + }, + { + "epoch": 0.83, + "learning_rate": 7.097373687010356e-07, + "loss": 0.8252, + "step": 28370 + }, + { + "epoch": 0.83, + "learning_rate": 7.09493051680113e-07, + "loss": 0.6008, + "step": 28371 + }, + { + "epoch": 0.83, + "learning_rate": 7.092487735063664e-07, + "loss": 0.7135, + "step": 28372 + }, + { + "epoch": 0.83, + "learning_rate": 7.090045341820056e-07, + "loss": 0.5787, + "step": 28373 + }, + { + "epoch": 0.83, + "learning_rate": 7.087603337092441e-07, + "loss": 0.6464, + "step": 28374 + }, + { + "epoch": 0.83, + "learning_rate": 7.085161720902905e-07, + "loss": 0.6415, + "step": 28375 + }, + { + "epoch": 0.83, + "learning_rate": 7.082720493273581e-07, + "loss": 0.8973, + "step": 28376 + }, + { + "epoch": 0.83, + "learning_rate": 7.080279654226552e-07, + "loss": 0.5036, + "step": 28377 + }, + { + "epoch": 0.83, + "learning_rate": 7.077839203783937e-07, + "loss": 0.6115, + "step": 28378 + }, + { + "epoch": 0.83, + "learning_rate": 7.07539914196781e-07, + "loss": 0.6516, + "step": 28379 + }, + { + "epoch": 0.83, + "learning_rate": 7.072959468800272e-07, + "loss": 0.798, + "step": 28380 + }, + { + "epoch": 0.83, + "learning_rate": 7.070520184303414e-07, + "loss": 0.8979, + "step": 28381 + }, + { + "epoch": 0.83, + "learning_rate": 7.06808128849934e-07, + "loss": 0.8987, + "step": 28382 + }, + { + "epoch": 0.83, + "learning_rate": 7.065642781410098e-07, + "loss": 0.8135, + "step": 28383 + }, + { + "epoch": 0.83, + "learning_rate": 7.063204663057804e-07, + "loss": 0.7183, + "step": 28384 + }, + { + "epoch": 0.83, + "learning_rate": 7.060766933464497e-07, + "loss": 0.6063, + "step": 28385 + }, + { + "epoch": 0.83, + "learning_rate": 7.058329592652274e-07, + "loss": 0.8133, + "step": 28386 + }, + { + "epoch": 0.83, + "learning_rate": 7.055892640643186e-07, + "loss": 0.8313, + "step": 28387 + }, + { + "epoch": 0.83, + "learning_rate": 7.053456077459319e-07, + "loss": 0.6072, + "step": 28388 + }, + { + "epoch": 0.83, + "learning_rate": 7.051019903122708e-07, + "loss": 0.7097, + "step": 28389 + }, + { + "epoch": 0.83, + "learning_rate": 7.048584117655427e-07, + "loss": 0.5639, + "step": 28390 + }, + { + "epoch": 0.83, + "learning_rate": 7.046148721079538e-07, + "loss": 0.9575, + "step": 28391 + }, + { + "epoch": 0.83, + "learning_rate": 7.043713713417066e-07, + "loss": 0.5243, + "step": 28392 + }, + { + "epoch": 0.83, + "learning_rate": 7.041279094690085e-07, + "loss": 0.6217, + "step": 28393 + }, + { + "epoch": 0.83, + "learning_rate": 7.038844864920619e-07, + "loss": 0.742, + "step": 28394 + }, + { + "epoch": 0.83, + "learning_rate": 7.036411024130724e-07, + "loss": 0.443, + "step": 28395 + }, + { + "epoch": 0.83, + "learning_rate": 7.033977572342415e-07, + "loss": 0.4685, + "step": 28396 + }, + { + "epoch": 0.83, + "learning_rate": 7.031544509577748e-07, + "loss": 0.8912, + "step": 28397 + }, + { + "epoch": 0.83, + "learning_rate": 7.029111835858737e-07, + "loss": 0.8742, + "step": 28398 + }, + { + "epoch": 0.83, + "learning_rate": 7.026679551207422e-07, + "loss": 0.6342, + "step": 28399 + }, + { + "epoch": 0.83, + "learning_rate": 7.024247655645788e-07, + "loss": 0.9405, + "step": 28400 + }, + { + "epoch": 0.83, + "learning_rate": 7.021816149195915e-07, + "loss": 0.3968, + "step": 28401 + }, + { + "epoch": 0.83, + "learning_rate": 7.019385031879772e-07, + "loss": 0.8206, + "step": 28402 + }, + { + "epoch": 0.83, + "learning_rate": 7.016954303719392e-07, + "loss": 0.4744, + "step": 28403 + }, + { + "epoch": 0.83, + "learning_rate": 7.014523964736769e-07, + "loss": 0.6184, + "step": 28404 + }, + { + "epoch": 0.83, + "learning_rate": 7.012094014953924e-07, + "loss": 0.6498, + "step": 28405 + }, + { + "epoch": 0.83, + "learning_rate": 7.00966445439284e-07, + "loss": 0.6446, + "step": 28406 + }, + { + "epoch": 0.83, + "learning_rate": 7.007235283075537e-07, + "loss": 0.5646, + "step": 28407 + }, + { + "epoch": 0.83, + "learning_rate": 7.00480650102398e-07, + "loss": 0.6647, + "step": 28408 + }, + { + "epoch": 0.83, + "learning_rate": 7.002378108260178e-07, + "loss": 0.8453, + "step": 28409 + }, + { + "epoch": 0.83, + "learning_rate": 6.99995010480613e-07, + "loss": 0.4279, + "step": 28410 + }, + { + "epoch": 0.83, + "learning_rate": 6.997522490683794e-07, + "loss": 0.903, + "step": 28411 + }, + { + "epoch": 0.83, + "learning_rate": 6.995095265915175e-07, + "loss": 0.716, + "step": 28412 + }, + { + "epoch": 0.83, + "learning_rate": 6.99266843052222e-07, + "loss": 0.541, + "step": 28413 + }, + { + "epoch": 0.83, + "learning_rate": 6.990241984526936e-07, + "loss": 0.6967, + "step": 28414 + }, + { + "epoch": 0.83, + "learning_rate": 6.987815927951258e-07, + "loss": 0.674, + "step": 28415 + }, + { + "epoch": 0.83, + "learning_rate": 6.985390260817187e-07, + "loss": 0.5833, + "step": 28416 + }, + { + "epoch": 0.83, + "learning_rate": 6.982964983146651e-07, + "loss": 0.7107, + "step": 28417 + }, + { + "epoch": 0.83, + "learning_rate": 6.980540094961641e-07, + "loss": 0.7406, + "step": 28418 + }, + { + "epoch": 0.83, + "learning_rate": 6.978115596284074e-07, + "loss": 0.6387, + "step": 28419 + }, + { + "epoch": 0.83, + "learning_rate": 6.97569148713595e-07, + "loss": 0.5905, + "step": 28420 + }, + { + "epoch": 0.83, + "learning_rate": 6.973267767539177e-07, + "loss": 0.8427, + "step": 28421 + }, + { + "epoch": 0.84, + "learning_rate": 6.970844437515728e-07, + "loss": 0.7463, + "step": 28422 + }, + { + "epoch": 0.84, + "learning_rate": 6.968421497087524e-07, + "loss": 0.7384, + "step": 28423 + }, + { + "epoch": 0.84, + "learning_rate": 6.96599894627652e-07, + "loss": 0.6167, + "step": 28424 + }, + { + "epoch": 0.84, + "learning_rate": 6.963576785104625e-07, + "loss": 0.5537, + "step": 28425 + }, + { + "epoch": 0.84, + "learning_rate": 6.961155013593806e-07, + "loss": 1.0021, + "step": 28426 + }, + { + "epoch": 0.84, + "learning_rate": 6.958733631765952e-07, + "loss": 1.2523, + "step": 28427 + }, + { + "epoch": 0.84, + "learning_rate": 6.95631263964302e-07, + "loss": 0.6506, + "step": 28428 + }, + { + "epoch": 0.84, + "learning_rate": 6.953892037246901e-07, + "loss": 0.8451, + "step": 28429 + }, + { + "epoch": 0.84, + "learning_rate": 6.951471824599526e-07, + "loss": 0.6054, + "step": 28430 + }, + { + "epoch": 0.84, + "learning_rate": 6.949052001722823e-07, + "loss": 0.8434, + "step": 28431 + }, + { + "epoch": 0.84, + "learning_rate": 6.946632568638673e-07, + "loss": 0.8455, + "step": 28432 + }, + { + "epoch": 0.84, + "learning_rate": 6.944213525369003e-07, + "loss": 0.528, + "step": 28433 + }, + { + "epoch": 0.84, + "learning_rate": 6.941794871935698e-07, + "loss": 0.6066, + "step": 28434 + }, + { + "epoch": 0.84, + "learning_rate": 6.939376608360682e-07, + "loss": 0.7006, + "step": 28435 + }, + { + "epoch": 0.84, + "learning_rate": 6.936958734665822e-07, + "loss": 0.7145, + "step": 28436 + }, + { + "epoch": 0.84, + "learning_rate": 6.934541250873034e-07, + "loss": 0.9602, + "step": 28437 + }, + { + "epoch": 0.84, + "learning_rate": 6.932124157004183e-07, + "loss": 0.7011, + "step": 28438 + }, + { + "epoch": 0.84, + "learning_rate": 6.92970745308117e-07, + "loss": 0.6069, + "step": 28439 + }, + { + "epoch": 0.84, + "learning_rate": 6.927291139125875e-07, + "loss": 0.6529, + "step": 28440 + }, + { + "epoch": 0.84, + "learning_rate": 6.924875215160182e-07, + "loss": 0.7828, + "step": 28441 + }, + { + "epoch": 0.84, + "learning_rate": 6.922459681205945e-07, + "loss": 0.6599, + "step": 28442 + }, + { + "epoch": 0.84, + "learning_rate": 6.920044537285059e-07, + "loss": 0.8042, + "step": 28443 + }, + { + "epoch": 0.84, + "learning_rate": 6.917629783419367e-07, + "loss": 0.5329, + "step": 28444 + }, + { + "epoch": 0.84, + "learning_rate": 6.915215419630761e-07, + "loss": 0.8407, + "step": 28445 + }, + { + "epoch": 0.84, + "learning_rate": 6.912801445941069e-07, + "loss": 0.7417, + "step": 28446 + }, + { + "epoch": 0.84, + "learning_rate": 6.910387862372175e-07, + "loss": 0.7349, + "step": 28447 + }, + { + "epoch": 0.84, + "learning_rate": 6.90797466894591e-07, + "loss": 0.5747, + "step": 28448 + }, + { + "epoch": 0.84, + "learning_rate": 6.905561865684135e-07, + "loss": 0.5921, + "step": 28449 + }, + { + "epoch": 0.84, + "learning_rate": 6.90314945260871e-07, + "loss": 0.7167, + "step": 28450 + }, + { + "epoch": 0.84, + "learning_rate": 6.900737429741444e-07, + "loss": 0.6343, + "step": 28451 + }, + { + "epoch": 0.84, + "learning_rate": 6.898325797104211e-07, + "loss": 0.7248, + "step": 28452 + }, + { + "epoch": 0.84, + "learning_rate": 6.895914554718819e-07, + "loss": 0.5705, + "step": 28453 + }, + { + "epoch": 0.84, + "learning_rate": 6.893503702607124e-07, + "loss": 0.6739, + "step": 28454 + }, + { + "epoch": 0.84, + "learning_rate": 6.89109324079093e-07, + "loss": 0.611, + "step": 28455 + }, + { + "epoch": 0.84, + "learning_rate": 6.888683169292082e-07, + "loss": 0.683, + "step": 28456 + }, + { + "epoch": 0.84, + "learning_rate": 6.886273488132383e-07, + "loss": 0.6894, + "step": 28457 + }, + { + "epoch": 0.84, + "learning_rate": 6.883864197333673e-07, + "loss": 0.8053, + "step": 28458 + }, + { + "epoch": 0.84, + "learning_rate": 6.881455296917733e-07, + "loss": 0.614, + "step": 28459 + }, + { + "epoch": 0.84, + "learning_rate": 6.879046786906413e-07, + "loss": 0.7563, + "step": 28460 + }, + { + "epoch": 0.84, + "learning_rate": 6.876638667321489e-07, + "loss": 0.5497, + "step": 28461 + }, + { + "epoch": 0.84, + "learning_rate": 6.874230938184795e-07, + "loss": 0.9137, + "step": 28462 + }, + { + "epoch": 0.84, + "learning_rate": 6.871823599518096e-07, + "loss": 0.7569, + "step": 28463 + }, + { + "epoch": 0.84, + "learning_rate": 6.869416651343219e-07, + "loss": 0.6658, + "step": 28464 + }, + { + "epoch": 0.84, + "learning_rate": 6.867010093681937e-07, + "loss": 0.8567, + "step": 28465 + }, + { + "epoch": 0.84, + "learning_rate": 6.864603926556052e-07, + "loss": 0.4096, + "step": 28466 + }, + { + "epoch": 0.84, + "learning_rate": 6.862198149987337e-07, + "loss": 0.7414, + "step": 28467 + }, + { + "epoch": 0.84, + "learning_rate": 6.859792763997592e-07, + "loss": 0.5178, + "step": 28468 + }, + { + "epoch": 0.84, + "learning_rate": 6.85738776860857e-07, + "loss": 0.6438, + "step": 28469 + }, + { + "epoch": 0.84, + "learning_rate": 6.854983163842066e-07, + "loss": 0.767, + "step": 28470 + }, + { + "epoch": 0.84, + "learning_rate": 6.852578949719863e-07, + "loss": 0.8434, + "step": 28471 + }, + { + "epoch": 0.84, + "learning_rate": 6.850175126263698e-07, + "loss": 0.5112, + "step": 28472 + }, + { + "epoch": 0.84, + "learning_rate": 6.847771693495364e-07, + "loss": 0.6905, + "step": 28473 + }, + { + "epoch": 0.84, + "learning_rate": 6.845368651436596e-07, + "loss": 0.7333, + "step": 28474 + }, + { + "epoch": 0.84, + "learning_rate": 6.84296600010918e-07, + "loss": 0.7785, + "step": 28475 + }, + { + "epoch": 0.84, + "learning_rate": 6.840563739534844e-07, + "loss": 0.7848, + "step": 28476 + }, + { + "epoch": 0.84, + "learning_rate": 6.838161869735366e-07, + "loss": 0.9519, + "step": 28477 + }, + { + "epoch": 0.84, + "learning_rate": 6.835760390732449e-07, + "loss": 0.658, + "step": 28478 + }, + { + "epoch": 0.84, + "learning_rate": 6.833359302547893e-07, + "loss": 0.728, + "step": 28479 + }, + { + "epoch": 0.84, + "learning_rate": 6.830958605203397e-07, + "loss": 0.8761, + "step": 28480 + }, + { + "epoch": 0.84, + "learning_rate": 6.828558298720717e-07, + "loss": 0.7862, + "step": 28481 + }, + { + "epoch": 0.84, + "learning_rate": 6.826158383121573e-07, + "loss": 0.6253, + "step": 28482 + }, + { + "epoch": 0.84, + "learning_rate": 6.823758858427709e-07, + "loss": 0.8764, + "step": 28483 + }, + { + "epoch": 0.84, + "learning_rate": 6.821359724660836e-07, + "loss": 0.7217, + "step": 28484 + }, + { + "epoch": 0.84, + "learning_rate": 6.818960981842693e-07, + "loss": 0.7317, + "step": 28485 + }, + { + "epoch": 0.84, + "learning_rate": 6.816562629994972e-07, + "loss": 0.5699, + "step": 28486 + }, + { + "epoch": 0.84, + "learning_rate": 6.814164669139423e-07, + "loss": 0.9664, + "step": 28487 + }, + { + "epoch": 0.84, + "learning_rate": 6.811767099297722e-07, + "loss": 0.8171, + "step": 28488 + }, + { + "epoch": 0.84, + "learning_rate": 6.809369920491598e-07, + "loss": 0.6447, + "step": 28489 + }, + { + "epoch": 0.84, + "learning_rate": 6.806973132742761e-07, + "loss": 0.7292, + "step": 28490 + }, + { + "epoch": 0.84, + "learning_rate": 6.804576736072893e-07, + "loss": 0.7165, + "step": 28491 + }, + { + "epoch": 0.84, + "learning_rate": 6.80218073050371e-07, + "loss": 0.7546, + "step": 28492 + }, + { + "epoch": 0.84, + "learning_rate": 6.799785116056889e-07, + "loss": 0.4979, + "step": 28493 + }, + { + "epoch": 0.84, + "learning_rate": 6.797389892754141e-07, + "loss": 0.5836, + "step": 28494 + }, + { + "epoch": 0.84, + "learning_rate": 6.794995060617133e-07, + "loss": 0.6153, + "step": 28495 + }, + { + "epoch": 0.84, + "learning_rate": 6.79260061966756e-07, + "loss": 0.7643, + "step": 28496 + }, + { + "epoch": 0.84, + "learning_rate": 6.790206569927088e-07, + "loss": 0.9075, + "step": 28497 + }, + { + "epoch": 0.84, + "learning_rate": 6.787812911417408e-07, + "loss": 0.4741, + "step": 28498 + }, + { + "epoch": 0.84, + "learning_rate": 6.785419644160184e-07, + "loss": 0.8504, + "step": 28499 + }, + { + "epoch": 0.84, + "learning_rate": 6.783026768177104e-07, + "loss": 0.9343, + "step": 28500 + }, + { + "epoch": 0.84, + "learning_rate": 6.780634283489801e-07, + "loss": 0.6901, + "step": 28501 + }, + { + "epoch": 0.84, + "learning_rate": 6.778242190119971e-07, + "loss": 0.5675, + "step": 28502 + }, + { + "epoch": 0.84, + "learning_rate": 6.775850488089241e-07, + "loss": 0.8251, + "step": 28503 + }, + { + "epoch": 0.84, + "learning_rate": 6.773459177419295e-07, + "loss": 0.8433, + "step": 28504 + }, + { + "epoch": 0.84, + "learning_rate": 6.771068258131763e-07, + "loss": 0.6085, + "step": 28505 + }, + { + "epoch": 0.84, + "learning_rate": 6.768677730248308e-07, + "loss": 0.7487, + "step": 28506 + }, + { + "epoch": 0.84, + "learning_rate": 6.766287593790554e-07, + "loss": 0.765, + "step": 28507 + }, + { + "epoch": 0.84, + "learning_rate": 6.76389784878016e-07, + "loss": 0.8698, + "step": 28508 + }, + { + "epoch": 0.84, + "learning_rate": 6.761508495238761e-07, + "loss": 0.3467, + "step": 28509 + }, + { + "epoch": 0.84, + "learning_rate": 6.759119533187985e-07, + "loss": 0.879, + "step": 28510 + }, + { + "epoch": 0.84, + "learning_rate": 6.756730962649471e-07, + "loss": 0.7741, + "step": 28511 + }, + { + "epoch": 0.84, + "learning_rate": 6.754342783644829e-07, + "loss": 0.7733, + "step": 28512 + }, + { + "epoch": 0.84, + "learning_rate": 6.751954996195703e-07, + "loss": 0.5102, + "step": 28513 + }, + { + "epoch": 0.84, + "learning_rate": 6.749567600323697e-07, + "loss": 0.7554, + "step": 28514 + }, + { + "epoch": 0.84, + "learning_rate": 6.747180596050434e-07, + "loss": 0.7891, + "step": 28515 + }, + { + "epoch": 0.84, + "learning_rate": 6.744793983397519e-07, + "loss": 0.7485, + "step": 28516 + }, + { + "epoch": 0.84, + "learning_rate": 6.742407762386577e-07, + "loss": 0.7296, + "step": 28517 + }, + { + "epoch": 0.84, + "learning_rate": 6.740021933039181e-07, + "loss": 0.5963, + "step": 28518 + }, + { + "epoch": 0.84, + "learning_rate": 6.737636495376975e-07, + "loss": 0.5644, + "step": 28519 + }, + { + "epoch": 0.84, + "learning_rate": 6.735251449421532e-07, + "loss": 0.6341, + "step": 28520 + }, + { + "epoch": 0.84, + "learning_rate": 6.73286679519446e-07, + "loss": 0.7441, + "step": 28521 + }, + { + "epoch": 0.84, + "learning_rate": 6.730482532717325e-07, + "loss": 0.6864, + "step": 28522 + }, + { + "epoch": 0.84, + "learning_rate": 6.728098662011745e-07, + "loss": 0.9289, + "step": 28523 + }, + { + "epoch": 0.84, + "learning_rate": 6.725715183099286e-07, + "loss": 0.8236, + "step": 28524 + }, + { + "epoch": 0.84, + "learning_rate": 6.723332096001533e-07, + "loss": 0.8777, + "step": 28525 + }, + { + "epoch": 0.84, + "learning_rate": 6.720949400740062e-07, + "loss": 0.4721, + "step": 28526 + }, + { + "epoch": 0.84, + "learning_rate": 6.718567097336454e-07, + "loss": 0.7801, + "step": 28527 + }, + { + "epoch": 0.84, + "learning_rate": 6.716185185812263e-07, + "loss": 0.7896, + "step": 28528 + }, + { + "epoch": 0.84, + "learning_rate": 6.713803666189062e-07, + "loss": 0.6348, + "step": 28529 + }, + { + "epoch": 0.84, + "learning_rate": 6.711422538488432e-07, + "loss": 0.6587, + "step": 28530 + }, + { + "epoch": 0.84, + "learning_rate": 6.709041802731903e-07, + "loss": 0.7601, + "step": 28531 + }, + { + "epoch": 0.84, + "learning_rate": 6.706661458941055e-07, + "loss": 0.7069, + "step": 28532 + }, + { + "epoch": 0.84, + "learning_rate": 6.704281507137416e-07, + "loss": 0.727, + "step": 28533 + }, + { + "epoch": 0.84, + "learning_rate": 6.701901947342565e-07, + "loss": 0.6038, + "step": 28534 + }, + { + "epoch": 0.84, + "learning_rate": 6.699522779578016e-07, + "loss": 0.7176, + "step": 28535 + }, + { + "epoch": 0.84, + "learning_rate": 6.697144003865336e-07, + "loss": 0.5145, + "step": 28536 + }, + { + "epoch": 0.84, + "learning_rate": 6.694765620226029e-07, + "loss": 0.6827, + "step": 28537 + }, + { + "epoch": 0.84, + "learning_rate": 6.692387628681674e-07, + "loss": 0.7864, + "step": 28538 + }, + { + "epoch": 0.84, + "learning_rate": 6.690010029253774e-07, + "loss": 1.0909, + "step": 28539 + }, + { + "epoch": 0.84, + "learning_rate": 6.687632821963869e-07, + "loss": 0.6499, + "step": 28540 + }, + { + "epoch": 0.84, + "learning_rate": 6.685256006833463e-07, + "loss": 0.7262, + "step": 28541 + }, + { + "epoch": 0.84, + "learning_rate": 6.682879583884105e-07, + "loss": 0.7169, + "step": 28542 + }, + { + "epoch": 0.84, + "learning_rate": 6.68050355313728e-07, + "loss": 0.5728, + "step": 28543 + }, + { + "epoch": 0.84, + "learning_rate": 6.67812791461453e-07, + "loss": 0.7173, + "step": 28544 + }, + { + "epoch": 0.84, + "learning_rate": 6.675752668337344e-07, + "loss": 0.548, + "step": 28545 + }, + { + "epoch": 0.84, + "learning_rate": 6.673377814327242e-07, + "loss": 0.7218, + "step": 28546 + }, + { + "epoch": 0.84, + "learning_rate": 6.671003352605709e-07, + "loss": 0.8765, + "step": 28547 + }, + { + "epoch": 0.84, + "learning_rate": 6.668629283194256e-07, + "loss": 0.8918, + "step": 28548 + }, + { + "epoch": 0.84, + "learning_rate": 6.666255606114385e-07, + "loss": 0.9529, + "step": 28549 + }, + { + "epoch": 0.84, + "learning_rate": 6.663882321387577e-07, + "loss": 0.8233, + "step": 28550 + }, + { + "epoch": 0.84, + "learning_rate": 6.661509429035329e-07, + "loss": 0.6543, + "step": 28551 + }, + { + "epoch": 0.84, + "learning_rate": 6.659136929079108e-07, + "loss": 0.7298, + "step": 28552 + }, + { + "epoch": 0.84, + "learning_rate": 6.656764821540418e-07, + "loss": 0.793, + "step": 28553 + }, + { + "epoch": 0.84, + "learning_rate": 6.654393106440716e-07, + "loss": 0.8665, + "step": 28554 + }, + { + "epoch": 0.84, + "learning_rate": 6.652021783801493e-07, + "loss": 0.6901, + "step": 28555 + }, + { + "epoch": 0.84, + "learning_rate": 6.649650853644207e-07, + "loss": 0.591, + "step": 28556 + }, + { + "epoch": 0.84, + "learning_rate": 6.647280315990329e-07, + "loss": 0.498, + "step": 28557 + }, + { + "epoch": 0.84, + "learning_rate": 6.644910170861318e-07, + "loss": 0.7309, + "step": 28558 + }, + { + "epoch": 0.84, + "learning_rate": 6.642540418278653e-07, + "loss": 0.9165, + "step": 28559 + }, + { + "epoch": 0.84, + "learning_rate": 6.640171058263767e-07, + "loss": 0.6769, + "step": 28560 + }, + { + "epoch": 0.84, + "learning_rate": 6.637802090838131e-07, + "loss": 0.493, + "step": 28561 + }, + { + "epoch": 0.84, + "learning_rate": 6.635433516023176e-07, + "loss": 0.7871, + "step": 28562 + }, + { + "epoch": 0.84, + "learning_rate": 6.633065333840366e-07, + "loss": 0.6392, + "step": 28563 + }, + { + "epoch": 0.84, + "learning_rate": 6.630697544311121e-07, + "loss": 0.8455, + "step": 28564 + }, + { + "epoch": 0.84, + "learning_rate": 6.628330147456907e-07, + "loss": 0.7927, + "step": 28565 + }, + { + "epoch": 0.84, + "learning_rate": 6.625963143299136e-07, + "loss": 0.5196, + "step": 28566 + }, + { + "epoch": 0.84, + "learning_rate": 6.623596531859239e-07, + "loss": 0.6922, + "step": 28567 + }, + { + "epoch": 0.84, + "learning_rate": 6.621230313158671e-07, + "loss": 0.8075, + "step": 28568 + }, + { + "epoch": 0.84, + "learning_rate": 6.618864487218824e-07, + "loss": 0.8633, + "step": 28569 + }, + { + "epoch": 0.84, + "learning_rate": 6.616499054061143e-07, + "loss": 0.8168, + "step": 28570 + }, + { + "epoch": 0.84, + "learning_rate": 6.614134013707019e-07, + "loss": 0.6321, + "step": 28571 + }, + { + "epoch": 0.84, + "learning_rate": 6.6117693661779e-07, + "loss": 0.7229, + "step": 28572 + }, + { + "epoch": 0.84, + "learning_rate": 6.609405111495159e-07, + "loss": 0.6849, + "step": 28573 + }, + { + "epoch": 0.84, + "learning_rate": 6.607041249680235e-07, + "loss": 0.6112, + "step": 28574 + }, + { + "epoch": 0.84, + "learning_rate": 6.604677780754509e-07, + "loss": 0.7416, + "step": 28575 + }, + { + "epoch": 0.84, + "learning_rate": 6.602314704739394e-07, + "loss": 0.7546, + "step": 28576 + }, + { + "epoch": 0.84, + "learning_rate": 6.599952021656259e-07, + "loss": 0.6283, + "step": 28577 + }, + { + "epoch": 0.84, + "learning_rate": 6.597589731526538e-07, + "loss": 0.5911, + "step": 28578 + }, + { + "epoch": 0.84, + "learning_rate": 6.595227834371587e-07, + "loss": 0.6488, + "step": 28579 + }, + { + "epoch": 0.84, + "learning_rate": 6.592866330212816e-07, + "loss": 0.7449, + "step": 28580 + }, + { + "epoch": 0.84, + "learning_rate": 6.59050521907158e-07, + "loss": 0.8413, + "step": 28581 + }, + { + "epoch": 0.84, + "learning_rate": 6.588144500969285e-07, + "loss": 0.4819, + "step": 28582 + }, + { + "epoch": 0.84, + "learning_rate": 6.585784175927274e-07, + "loss": 0.7873, + "step": 28583 + }, + { + "epoch": 0.84, + "learning_rate": 6.583424243966951e-07, + "loss": 0.5959, + "step": 28584 + }, + { + "epoch": 0.84, + "learning_rate": 6.581064705109652e-07, + "loss": 0.8007, + "step": 28585 + }, + { + "epoch": 0.84, + "learning_rate": 6.578705559376769e-07, + "loss": 0.6887, + "step": 28586 + }, + { + "epoch": 0.84, + "learning_rate": 6.576346806789641e-07, + "loss": 0.7455, + "step": 28587 + }, + { + "epoch": 0.84, + "learning_rate": 6.573988447369628e-07, + "loss": 0.6691, + "step": 28588 + }, + { + "epoch": 0.84, + "learning_rate": 6.571630481138097e-07, + "loss": 0.6532, + "step": 28589 + }, + { + "epoch": 0.84, + "learning_rate": 6.569272908116381e-07, + "loss": 0.8325, + "step": 28590 + }, + { + "epoch": 0.84, + "learning_rate": 6.56691572832584e-07, + "loss": 0.8789, + "step": 28591 + }, + { + "epoch": 0.84, + "learning_rate": 6.564558941787801e-07, + "loss": 0.6986, + "step": 28592 + }, + { + "epoch": 0.84, + "learning_rate": 6.562202548523627e-07, + "loss": 0.7284, + "step": 28593 + }, + { + "epoch": 0.84, + "learning_rate": 6.559846548554622e-07, + "loss": 0.7762, + "step": 28594 + }, + { + "epoch": 0.84, + "learning_rate": 6.557490941902145e-07, + "loss": 0.9015, + "step": 28595 + }, + { + "epoch": 0.84, + "learning_rate": 6.555135728587503e-07, + "loss": 0.8866, + "step": 28596 + }, + { + "epoch": 0.84, + "learning_rate": 6.552780908632028e-07, + "loss": 0.6807, + "step": 28597 + }, + { + "epoch": 0.84, + "learning_rate": 6.550426482057043e-07, + "loss": 0.8335, + "step": 28598 + }, + { + "epoch": 0.84, + "learning_rate": 6.548072448883879e-07, + "loss": 0.2911, + "step": 28599 + }, + { + "epoch": 0.84, + "learning_rate": 6.545718809133827e-07, + "loss": 0.7892, + "step": 28600 + }, + { + "epoch": 0.84, + "learning_rate": 6.543365562828213e-07, + "loss": 0.7825, + "step": 28601 + }, + { + "epoch": 0.84, + "learning_rate": 6.541012709988332e-07, + "loss": 0.7474, + "step": 28602 + }, + { + "epoch": 0.84, + "learning_rate": 6.538660250635503e-07, + "loss": 0.596, + "step": 28603 + }, + { + "epoch": 0.84, + "learning_rate": 6.536308184791001e-07, + "loss": 0.6417, + "step": 28604 + }, + { + "epoch": 0.84, + "learning_rate": 6.533956512476153e-07, + "loss": 0.4742, + "step": 28605 + }, + { + "epoch": 0.84, + "learning_rate": 6.531605233712218e-07, + "loss": 0.5445, + "step": 28606 + }, + { + "epoch": 0.84, + "learning_rate": 6.529254348520508e-07, + "loss": 0.4424, + "step": 28607 + }, + { + "epoch": 0.84, + "learning_rate": 6.526903856922312e-07, + "loss": 0.5862, + "step": 28608 + }, + { + "epoch": 0.84, + "learning_rate": 6.524553758938896e-07, + "loss": 0.6251, + "step": 28609 + }, + { + "epoch": 0.84, + "learning_rate": 6.522204054591546e-07, + "loss": 0.6807, + "step": 28610 + }, + { + "epoch": 0.84, + "learning_rate": 6.519854743901532e-07, + "loss": 0.7334, + "step": 28611 + }, + { + "epoch": 0.84, + "learning_rate": 6.517505826890141e-07, + "loss": 0.7662, + "step": 28612 + }, + { + "epoch": 0.84, + "learning_rate": 6.515157303578612e-07, + "loss": 0.7327, + "step": 28613 + }, + { + "epoch": 0.84, + "learning_rate": 6.512809173988243e-07, + "loss": 0.6169, + "step": 28614 + }, + { + "epoch": 0.84, + "learning_rate": 6.510461438140259e-07, + "loss": 0.8075, + "step": 28615 + }, + { + "epoch": 0.84, + "learning_rate": 6.50811409605594e-07, + "loss": 0.7505, + "step": 28616 + }, + { + "epoch": 0.84, + "learning_rate": 6.505767147756531e-07, + "loss": 0.9716, + "step": 28617 + }, + { + "epoch": 0.84, + "learning_rate": 6.503420593263299e-07, + "loss": 0.7194, + "step": 28618 + }, + { + "epoch": 0.84, + "learning_rate": 6.501074432597465e-07, + "loss": 0.4698, + "step": 28619 + }, + { + "epoch": 0.84, + "learning_rate": 6.498728665780291e-07, + "loss": 0.8321, + "step": 28620 + }, + { + "epoch": 0.84, + "learning_rate": 6.496383292833002e-07, + "loss": 0.5389, + "step": 28621 + }, + { + "epoch": 0.84, + "learning_rate": 6.494038313776846e-07, + "loss": 0.7068, + "step": 28622 + }, + { + "epoch": 0.84, + "learning_rate": 6.491693728633042e-07, + "loss": 0.9252, + "step": 28623 + }, + { + "epoch": 0.84, + "learning_rate": 6.489349537422829e-07, + "loss": 0.6343, + "step": 28624 + }, + { + "epoch": 0.84, + "learning_rate": 6.487005740167423e-07, + "loss": 0.6425, + "step": 28625 + }, + { + "epoch": 0.84, + "learning_rate": 6.484662336888043e-07, + "loss": 0.6353, + "step": 28626 + }, + { + "epoch": 0.84, + "learning_rate": 6.482319327605919e-07, + "loss": 0.5716, + "step": 28627 + }, + { + "epoch": 0.84, + "learning_rate": 6.479976712342267e-07, + "loss": 1.0469, + "step": 28628 + }, + { + "epoch": 0.84, + "learning_rate": 6.477634491118296e-07, + "loss": 0.7866, + "step": 28629 + }, + { + "epoch": 0.84, + "learning_rate": 6.475292663955191e-07, + "loss": 0.7474, + "step": 28630 + }, + { + "epoch": 0.84, + "learning_rate": 6.472951230874186e-07, + "loss": 0.7419, + "step": 28631 + }, + { + "epoch": 0.84, + "learning_rate": 6.470610191896453e-07, + "loss": 0.8115, + "step": 28632 + }, + { + "epoch": 0.84, + "learning_rate": 6.46826954704321e-07, + "loss": 0.5966, + "step": 28633 + }, + { + "epoch": 0.84, + "learning_rate": 6.465929296335638e-07, + "loss": 0.8774, + "step": 28634 + }, + { + "epoch": 0.84, + "learning_rate": 6.463589439794931e-07, + "loss": 0.6705, + "step": 28635 + }, + { + "epoch": 0.84, + "learning_rate": 6.461249977442258e-07, + "loss": 0.8144, + "step": 28636 + }, + { + "epoch": 0.84, + "learning_rate": 6.458910909298838e-07, + "loss": 0.8578, + "step": 28637 + }, + { + "epoch": 0.84, + "learning_rate": 6.456572235385816e-07, + "loss": 0.9445, + "step": 28638 + }, + { + "epoch": 0.84, + "learning_rate": 6.454233955724387e-07, + "loss": 0.8022, + "step": 28639 + }, + { + "epoch": 0.84, + "learning_rate": 6.451896070335705e-07, + "loss": 0.7327, + "step": 28640 + }, + { + "epoch": 0.84, + "learning_rate": 6.449558579240955e-07, + "loss": 0.5631, + "step": 28641 + }, + { + "epoch": 0.84, + "learning_rate": 6.44722148246128e-07, + "loss": 0.8881, + "step": 28642 + }, + { + "epoch": 0.84, + "learning_rate": 6.444884780017868e-07, + "loss": 0.8076, + "step": 28643 + }, + { + "epoch": 0.84, + "learning_rate": 6.442548471931847e-07, + "loss": 0.5707, + "step": 28644 + }, + { + "epoch": 0.84, + "learning_rate": 6.440212558224401e-07, + "loss": 0.6283, + "step": 28645 + }, + { + "epoch": 0.84, + "learning_rate": 6.43787703891664e-07, + "loss": 0.889, + "step": 28646 + }, + { + "epoch": 0.84, + "learning_rate": 6.435541914029752e-07, + "loss": 0.6451, + "step": 28647 + }, + { + "epoch": 0.84, + "learning_rate": 6.43320718358485e-07, + "loss": 0.5823, + "step": 28648 + }, + { + "epoch": 0.84, + "learning_rate": 6.430872847603098e-07, + "loss": 0.5041, + "step": 28649 + }, + { + "epoch": 0.84, + "learning_rate": 6.428538906105608e-07, + "loss": 0.5375, + "step": 28650 + }, + { + "epoch": 0.84, + "learning_rate": 6.42620535911353e-07, + "loss": 0.6843, + "step": 28651 + }, + { + "epoch": 0.84, + "learning_rate": 6.423872206647979e-07, + "loss": 0.7041, + "step": 28652 + }, + { + "epoch": 0.84, + "learning_rate": 6.421539448730091e-07, + "loss": 0.6077, + "step": 28653 + }, + { + "epoch": 0.84, + "learning_rate": 6.419207085380985e-07, + "loss": 0.8421, + "step": 28654 + }, + { + "epoch": 0.84, + "learning_rate": 6.416875116621762e-07, + "loss": 0.6698, + "step": 28655 + }, + { + "epoch": 0.84, + "learning_rate": 6.41454354247355e-07, + "loss": 0.9571, + "step": 28656 + }, + { + "epoch": 0.84, + "learning_rate": 6.41221236295746e-07, + "loss": 0.5927, + "step": 28657 + }, + { + "epoch": 0.84, + "learning_rate": 6.409881578094612e-07, + "loss": 0.6956, + "step": 28658 + }, + { + "epoch": 0.84, + "learning_rate": 6.407551187906081e-07, + "loss": 0.7279, + "step": 28659 + }, + { + "epoch": 0.84, + "learning_rate": 6.405221192412992e-07, + "loss": 0.6697, + "step": 28660 + }, + { + "epoch": 0.84, + "learning_rate": 6.402891591636423e-07, + "loss": 0.7536, + "step": 28661 + }, + { + "epoch": 0.84, + "learning_rate": 6.400562385597486e-07, + "loss": 0.7741, + "step": 28662 + }, + { + "epoch": 0.84, + "learning_rate": 6.398233574317241e-07, + "loss": 0.6873, + "step": 28663 + }, + { + "epoch": 0.84, + "learning_rate": 6.395905157816806e-07, + "loss": 0.6261, + "step": 28664 + }, + { + "epoch": 0.84, + "learning_rate": 6.39357713611724e-07, + "loss": 0.8992, + "step": 28665 + }, + { + "epoch": 0.84, + "learning_rate": 6.391249509239627e-07, + "loss": 0.6311, + "step": 28666 + }, + { + "epoch": 0.84, + "learning_rate": 6.388922277205045e-07, + "loss": 0.8645, + "step": 28667 + }, + { + "epoch": 0.84, + "learning_rate": 6.386595440034576e-07, + "loss": 0.5387, + "step": 28668 + }, + { + "epoch": 0.84, + "learning_rate": 6.384268997749266e-07, + "loss": 0.7477, + "step": 28669 + }, + { + "epoch": 0.84, + "learning_rate": 6.381942950370201e-07, + "loss": 0.77, + "step": 28670 + }, + { + "epoch": 0.84, + "learning_rate": 6.379617297918417e-07, + "loss": 0.7948, + "step": 28671 + }, + { + "epoch": 0.84, + "learning_rate": 6.377292040414995e-07, + "loss": 0.8353, + "step": 28672 + }, + { + "epoch": 0.84, + "learning_rate": 6.374967177880964e-07, + "loss": 0.9019, + "step": 28673 + }, + { + "epoch": 0.84, + "learning_rate": 6.372642710337401e-07, + "loss": 0.9338, + "step": 28674 + }, + { + "epoch": 0.84, + "learning_rate": 6.370318637805329e-07, + "loss": 0.9652, + "step": 28675 + }, + { + "epoch": 0.84, + "learning_rate": 6.367994960305795e-07, + "loss": 1.0132, + "step": 28676 + }, + { + "epoch": 0.84, + "learning_rate": 6.365671677859858e-07, + "loss": 0.6048, + "step": 28677 + }, + { + "epoch": 0.84, + "learning_rate": 6.363348790488527e-07, + "loss": 0.6518, + "step": 28678 + }, + { + "epoch": 0.84, + "learning_rate": 6.361026298212858e-07, + "loss": 0.9675, + "step": 28679 + }, + { + "epoch": 0.84, + "learning_rate": 6.358704201053856e-07, + "loss": 0.9029, + "step": 28680 + }, + { + "epoch": 0.84, + "learning_rate": 6.356382499032565e-07, + "loss": 0.741, + "step": 28681 + }, + { + "epoch": 0.84, + "learning_rate": 6.354061192169986e-07, + "loss": 0.6635, + "step": 28682 + }, + { + "epoch": 0.84, + "learning_rate": 6.351740280487162e-07, + "loss": 0.5971, + "step": 28683 + }, + { + "epoch": 0.84, + "learning_rate": 6.349419764005083e-07, + "loss": 0.8456, + "step": 28684 + }, + { + "epoch": 0.84, + "learning_rate": 6.34709964274477e-07, + "loss": 0.7215, + "step": 28685 + }, + { + "epoch": 0.84, + "learning_rate": 6.344779916727228e-07, + "loss": 0.671, + "step": 28686 + }, + { + "epoch": 0.84, + "learning_rate": 6.342460585973475e-07, + "loss": 0.3414, + "step": 28687 + }, + { + "epoch": 0.84, + "learning_rate": 6.340141650504483e-07, + "loss": 0.6199, + "step": 28688 + }, + { + "epoch": 0.84, + "learning_rate": 6.337823110341279e-07, + "loss": 0.728, + "step": 28689 + }, + { + "epoch": 0.84, + "learning_rate": 6.335504965504824e-07, + "loss": 0.8394, + "step": 28690 + }, + { + "epoch": 0.84, + "learning_rate": 6.333187216016135e-07, + "loss": 0.5894, + "step": 28691 + }, + { + "epoch": 0.84, + "learning_rate": 6.330869861896177e-07, + "loss": 0.7065, + "step": 28692 + }, + { + "epoch": 0.84, + "learning_rate": 6.328552903165947e-07, + "loss": 0.6871, + "step": 28693 + }, + { + "epoch": 0.84, + "learning_rate": 6.326236339846409e-07, + "loss": 0.9242, + "step": 28694 + }, + { + "epoch": 0.84, + "learning_rate": 6.323920171958542e-07, + "loss": 0.603, + "step": 28695 + }, + { + "epoch": 0.84, + "learning_rate": 6.321604399523329e-07, + "loss": 0.7123, + "step": 28696 + }, + { + "epoch": 0.84, + "learning_rate": 6.319289022561719e-07, + "loss": 0.511, + "step": 28697 + }, + { + "epoch": 0.84, + "learning_rate": 6.316974041094698e-07, + "loss": 0.4725, + "step": 28698 + }, + { + "epoch": 0.84, + "learning_rate": 6.314659455143201e-07, + "loss": 0.7048, + "step": 28699 + }, + { + "epoch": 0.84, + "learning_rate": 6.312345264728209e-07, + "loss": 0.5259, + "step": 28700 + }, + { + "epoch": 0.84, + "learning_rate": 6.310031469870648e-07, + "loss": 0.5822, + "step": 28701 + }, + { + "epoch": 0.84, + "learning_rate": 6.307718070591501e-07, + "loss": 0.9035, + "step": 28702 + }, + { + "epoch": 0.84, + "learning_rate": 6.30540506691168e-07, + "loss": 0.6971, + "step": 28703 + }, + { + "epoch": 0.84, + "learning_rate": 6.303092458852156e-07, + "loss": 0.5795, + "step": 28704 + }, + { + "epoch": 0.84, + "learning_rate": 6.300780246433835e-07, + "loss": 0.8803, + "step": 28705 + }, + { + "epoch": 0.84, + "learning_rate": 6.29846842967769e-07, + "loss": 0.9257, + "step": 28706 + }, + { + "epoch": 0.84, + "learning_rate": 6.29615700860463e-07, + "loss": 0.4872, + "step": 28707 + }, + { + "epoch": 0.84, + "learning_rate": 6.293845983235597e-07, + "loss": 0.5855, + "step": 28708 + }, + { + "epoch": 0.84, + "learning_rate": 6.291535353591493e-07, + "loss": 0.7046, + "step": 28709 + }, + { + "epoch": 0.84, + "learning_rate": 6.289225119693271e-07, + "loss": 0.8238, + "step": 28710 + }, + { + "epoch": 0.84, + "learning_rate": 6.286915281561812e-07, + "loss": 0.7139, + "step": 28711 + }, + { + "epoch": 0.84, + "learning_rate": 6.284605839218061e-07, + "loss": 0.6972, + "step": 28712 + }, + { + "epoch": 0.84, + "learning_rate": 6.282296792682907e-07, + "loss": 0.7523, + "step": 28713 + }, + { + "epoch": 0.84, + "learning_rate": 6.279988141977272e-07, + "loss": 0.8352, + "step": 28714 + }, + { + "epoch": 0.84, + "learning_rate": 6.277679887122045e-07, + "loss": 0.859, + "step": 28715 + }, + { + "epoch": 0.84, + "learning_rate": 6.275372028138132e-07, + "loss": 0.7027, + "step": 28716 + }, + { + "epoch": 0.84, + "learning_rate": 6.273064565046438e-07, + "loss": 0.9516, + "step": 28717 + }, + { + "epoch": 0.84, + "learning_rate": 6.270757497867835e-07, + "loss": 0.5841, + "step": 28718 + }, + { + "epoch": 0.84, + "learning_rate": 6.268450826623235e-07, + "loss": 0.3606, + "step": 28719 + }, + { + "epoch": 0.84, + "learning_rate": 6.266144551333498e-07, + "loss": 0.6858, + "step": 28720 + }, + { + "epoch": 0.84, + "learning_rate": 6.263838672019534e-07, + "loss": 1.0198, + "step": 28721 + }, + { + "epoch": 0.84, + "learning_rate": 6.26153318870219e-07, + "loss": 0.7816, + "step": 28722 + }, + { + "epoch": 0.84, + "learning_rate": 6.259228101402371e-07, + "loss": 0.6316, + "step": 28723 + }, + { + "epoch": 0.84, + "learning_rate": 6.256923410140919e-07, + "loss": 0.7911, + "step": 28724 + }, + { + "epoch": 0.84, + "learning_rate": 6.254619114938714e-07, + "loss": 0.6807, + "step": 28725 + }, + { + "epoch": 0.84, + "learning_rate": 6.252315215816623e-07, + "loss": 0.7694, + "step": 28726 + }, + { + "epoch": 0.84, + "learning_rate": 6.250011712795517e-07, + "loss": 0.6621, + "step": 28727 + }, + { + "epoch": 0.84, + "learning_rate": 6.247708605896225e-07, + "loss": 0.6439, + "step": 28728 + }, + { + "epoch": 0.84, + "learning_rate": 6.245405895139622e-07, + "loss": 0.7451, + "step": 28729 + }, + { + "epoch": 0.84, + "learning_rate": 6.243103580546539e-07, + "loss": 0.7005, + "step": 28730 + }, + { + "epoch": 0.84, + "learning_rate": 6.240801662137847e-07, + "loss": 0.8891, + "step": 28731 + }, + { + "epoch": 0.84, + "learning_rate": 6.238500139934356e-07, + "loss": 0.8531, + "step": 28732 + }, + { + "epoch": 0.84, + "learning_rate": 6.236199013956934e-07, + "loss": 0.5513, + "step": 28733 + }, + { + "epoch": 0.84, + "learning_rate": 6.233898284226391e-07, + "loss": 0.7023, + "step": 28734 + }, + { + "epoch": 0.84, + "learning_rate": 6.231597950763573e-07, + "loss": 0.8466, + "step": 28735 + }, + { + "epoch": 0.84, + "learning_rate": 6.229298013589319e-07, + "loss": 0.852, + "step": 28736 + }, + { + "epoch": 0.84, + "learning_rate": 6.226998472724422e-07, + "loss": 0.567, + "step": 28737 + }, + { + "epoch": 0.84, + "learning_rate": 6.224699328189731e-07, + "loss": 0.7595, + "step": 28738 + }, + { + "epoch": 0.84, + "learning_rate": 6.222400580006043e-07, + "loss": 0.9824, + "step": 28739 + }, + { + "epoch": 0.84, + "learning_rate": 6.220102228194191e-07, + "loss": 0.7169, + "step": 28740 + }, + { + "epoch": 0.84, + "learning_rate": 6.217804272774963e-07, + "loss": 0.7623, + "step": 28741 + }, + { + "epoch": 0.84, + "learning_rate": 6.215506713769188e-07, + "loss": 0.7427, + "step": 28742 + }, + { + "epoch": 0.84, + "learning_rate": 6.213209551197641e-07, + "loss": 0.6104, + "step": 28743 + }, + { + "epoch": 0.84, + "learning_rate": 6.210912785081141e-07, + "loss": 0.9279, + "step": 28744 + }, + { + "epoch": 0.84, + "learning_rate": 6.208616415440477e-07, + "loss": 0.5556, + "step": 28745 + }, + { + "epoch": 0.84, + "learning_rate": 6.206320442296454e-07, + "loss": 0.3701, + "step": 28746 + }, + { + "epoch": 0.84, + "learning_rate": 6.204024865669839e-07, + "loss": 0.5326, + "step": 28747 + }, + { + "epoch": 0.84, + "learning_rate": 6.201729685581437e-07, + "loss": 0.628, + "step": 28748 + }, + { + "epoch": 0.84, + "learning_rate": 6.199434902052009e-07, + "loss": 0.3655, + "step": 28749 + }, + { + "epoch": 0.84, + "learning_rate": 6.197140515102351e-07, + "loss": 0.4673, + "step": 28750 + }, + { + "epoch": 0.84, + "learning_rate": 6.194846524753217e-07, + "loss": 0.5306, + "step": 28751 + }, + { + "epoch": 0.84, + "learning_rate": 6.192552931025403e-07, + "loss": 0.4644, + "step": 28752 + }, + { + "epoch": 0.84, + "learning_rate": 6.190259733939647e-07, + "loss": 0.4922, + "step": 28753 + }, + { + "epoch": 0.84, + "learning_rate": 6.187966933516731e-07, + "loss": 0.719, + "step": 28754 + }, + { + "epoch": 0.84, + "learning_rate": 6.185674529777413e-07, + "loss": 0.681, + "step": 28755 + }, + { + "epoch": 0.84, + "learning_rate": 6.183382522742437e-07, + "loss": 0.6794, + "step": 28756 + }, + { + "epoch": 0.84, + "learning_rate": 6.18109091243258e-07, + "loss": 0.6422, + "step": 28757 + }, + { + "epoch": 0.84, + "learning_rate": 6.178799698868559e-07, + "loss": 0.8052, + "step": 28758 + }, + { + "epoch": 0.84, + "learning_rate": 6.176508882071148e-07, + "loss": 0.482, + "step": 28759 + }, + { + "epoch": 0.84, + "learning_rate": 6.17421846206106e-07, + "loss": 0.6443, + "step": 28760 + }, + { + "epoch": 0.84, + "learning_rate": 6.171928438859065e-07, + "loss": 0.9993, + "step": 28761 + }, + { + "epoch": 0.84, + "learning_rate": 6.169638812485867e-07, + "loss": 0.6554, + "step": 28762 + }, + { + "epoch": 0.85, + "learning_rate": 6.167349582962223e-07, + "loss": 0.5181, + "step": 28763 + }, + { + "epoch": 0.85, + "learning_rate": 6.165060750308821e-07, + "loss": 0.5839, + "step": 28764 + }, + { + "epoch": 0.85, + "learning_rate": 6.162772314546439e-07, + "loss": 0.3256, + "step": 28765 + }, + { + "epoch": 0.85, + "learning_rate": 6.160484275695755e-07, + "loss": 0.7017, + "step": 28766 + }, + { + "epoch": 0.85, + "learning_rate": 6.158196633777508e-07, + "loss": 0.5557, + "step": 28767 + }, + { + "epoch": 0.85, + "learning_rate": 6.155909388812398e-07, + "loss": 0.7269, + "step": 28768 + }, + { + "epoch": 0.85, + "learning_rate": 6.153622540821147e-07, + "loss": 0.6358, + "step": 28769 + }, + { + "epoch": 0.85, + "learning_rate": 6.151336089824439e-07, + "loss": 0.6912, + "step": 28770 + }, + { + "epoch": 0.85, + "learning_rate": 6.149050035843001e-07, + "loss": 0.7165, + "step": 28771 + }, + { + "epoch": 0.85, + "learning_rate": 6.146764378897507e-07, + "loss": 0.7353, + "step": 28772 + }, + { + "epoch": 0.85, + "learning_rate": 6.144479119008679e-07, + "loss": 0.4867, + "step": 28773 + }, + { + "epoch": 0.85, + "learning_rate": 6.142194256197181e-07, + "loss": 0.9698, + "step": 28774 + }, + { + "epoch": 0.85, + "learning_rate": 6.139909790483717e-07, + "loss": 0.5923, + "step": 28775 + }, + { + "epoch": 0.85, + "learning_rate": 6.137625721888974e-07, + "loss": 0.6706, + "step": 28776 + }, + { + "epoch": 0.85, + "learning_rate": 6.135342050433618e-07, + "loss": 0.6711, + "step": 28777 + }, + { + "epoch": 0.85, + "learning_rate": 6.133058776138339e-07, + "loss": 0.602, + "step": 28778 + }, + { + "epoch": 0.85, + "learning_rate": 6.1307758990238e-07, + "loss": 0.8039, + "step": 28779 + }, + { + "epoch": 0.85, + "learning_rate": 6.128493419110687e-07, + "loss": 1.003, + "step": 28780 + }, + { + "epoch": 0.85, + "learning_rate": 6.126211336419641e-07, + "loss": 0.6461, + "step": 28781 + }, + { + "epoch": 0.85, + "learning_rate": 6.123929650971349e-07, + "loss": 0.6899, + "step": 28782 + }, + { + "epoch": 0.85, + "learning_rate": 6.121648362786448e-07, + "loss": 0.9519, + "step": 28783 + }, + { + "epoch": 0.85, + "learning_rate": 6.119367471885607e-07, + "loss": 0.7578, + "step": 28784 + }, + { + "epoch": 0.85, + "learning_rate": 6.117086978289471e-07, + "loss": 0.8332, + "step": 28785 + }, + { + "epoch": 0.85, + "learning_rate": 6.114806882018703e-07, + "loss": 0.8265, + "step": 28786 + }, + { + "epoch": 0.85, + "learning_rate": 6.112527183093931e-07, + "loss": 0.8062, + "step": 28787 + }, + { + "epoch": 0.85, + "learning_rate": 6.110247881535808e-07, + "loss": 0.7772, + "step": 28788 + }, + { + "epoch": 0.85, + "learning_rate": 6.107968977364953e-07, + "loss": 0.4462, + "step": 28789 + }, + { + "epoch": 0.85, + "learning_rate": 6.105690470602027e-07, + "loss": 0.7164, + "step": 28790 + }, + { + "epoch": 0.85, + "learning_rate": 6.10341236126763e-07, + "loss": 0.6581, + "step": 28791 + }, + { + "epoch": 0.85, + "learning_rate": 6.101134649382418e-07, + "loss": 0.8112, + "step": 28792 + }, + { + "epoch": 0.85, + "learning_rate": 6.098857334966984e-07, + "loss": 0.4674, + "step": 28793 + }, + { + "epoch": 0.85, + "learning_rate": 6.096580418041959e-07, + "loss": 0.726, + "step": 28794 + }, + { + "epoch": 0.85, + "learning_rate": 6.094303898627979e-07, + "loss": 0.7184, + "step": 28795 + }, + { + "epoch": 0.85, + "learning_rate": 6.092027776745624e-07, + "loss": 0.6423, + "step": 28796 + }, + { + "epoch": 0.85, + "learning_rate": 6.089752052415532e-07, + "loss": 0.5695, + "step": 28797 + }, + { + "epoch": 0.85, + "learning_rate": 6.087476725658281e-07, + "loss": 0.6099, + "step": 28798 + }, + { + "epoch": 0.85, + "learning_rate": 6.085201796494494e-07, + "loss": 0.7172, + "step": 28799 + }, + { + "epoch": 0.85, + "learning_rate": 6.082927264944749e-07, + "loss": 0.7475, + "step": 28800 + }, + { + "epoch": 0.85, + "learning_rate": 6.080653131029663e-07, + "loss": 0.9879, + "step": 28801 + }, + { + "epoch": 0.85, + "learning_rate": 6.078379394769807e-07, + "loss": 0.6681, + "step": 28802 + }, + { + "epoch": 0.85, + "learning_rate": 6.076106056185766e-07, + "loss": 0.9188, + "step": 28803 + }, + { + "epoch": 0.85, + "learning_rate": 6.073833115298138e-07, + "loss": 0.6939, + "step": 28804 + }, + { + "epoch": 0.85, + "learning_rate": 6.071560572127505e-07, + "loss": 0.7861, + "step": 28805 + }, + { + "epoch": 0.85, + "learning_rate": 6.069288426694425e-07, + "loss": 0.9452, + "step": 28806 + }, + { + "epoch": 0.85, + "learning_rate": 6.067016679019494e-07, + "loss": 0.6631, + "step": 28807 + }, + { + "epoch": 0.85, + "learning_rate": 6.064745329123256e-07, + "loss": 0.7116, + "step": 28808 + }, + { + "epoch": 0.85, + "learning_rate": 6.062474377026295e-07, + "loss": 0.6292, + "step": 28809 + }, + { + "epoch": 0.85, + "learning_rate": 6.060203822749156e-07, + "loss": 0.6681, + "step": 28810 + }, + { + "epoch": 0.85, + "learning_rate": 6.057933666312415e-07, + "loss": 0.547, + "step": 28811 + }, + { + "epoch": 0.85, + "learning_rate": 6.055663907736614e-07, + "loss": 0.6692, + "step": 28812 + }, + { + "epoch": 0.85, + "learning_rate": 6.053394547042302e-07, + "loss": 0.9824, + "step": 28813 + }, + { + "epoch": 0.85, + "learning_rate": 6.051125584250045e-07, + "loss": 0.5424, + "step": 28814 + }, + { + "epoch": 0.85, + "learning_rate": 6.048857019380361e-07, + "loss": 0.6293, + "step": 28815 + }, + { + "epoch": 0.85, + "learning_rate": 6.046588852453817e-07, + "loss": 0.7459, + "step": 28816 + }, + { + "epoch": 0.85, + "learning_rate": 6.044321083490922e-07, + "loss": 0.7901, + "step": 28817 + }, + { + "epoch": 0.85, + "learning_rate": 6.042053712512236e-07, + "loss": 0.6889, + "step": 28818 + }, + { + "epoch": 0.85, + "learning_rate": 6.039786739538261e-07, + "loss": 0.561, + "step": 28819 + }, + { + "epoch": 0.85, + "learning_rate": 6.037520164589545e-07, + "loss": 0.7671, + "step": 28820 + }, + { + "epoch": 0.85, + "learning_rate": 6.03525398768659e-07, + "loss": 0.7939, + "step": 28821 + }, + { + "epoch": 0.85, + "learning_rate": 6.032988208849944e-07, + "loss": 0.9126, + "step": 28822 + }, + { + "epoch": 0.85, + "learning_rate": 6.030722828100077e-07, + "loss": 0.6319, + "step": 28823 + }, + { + "epoch": 0.85, + "learning_rate": 6.028457845457547e-07, + "loss": 0.6256, + "step": 28824 + }, + { + "epoch": 0.85, + "learning_rate": 6.026193260942831e-07, + "loss": 0.6864, + "step": 28825 + }, + { + "epoch": 0.85, + "learning_rate": 6.023929074576457e-07, + "loss": 0.9008, + "step": 28826 + }, + { + "epoch": 0.85, + "learning_rate": 6.021665286378897e-07, + "loss": 0.5099, + "step": 28827 + }, + { + "epoch": 0.85, + "learning_rate": 6.019401896370675e-07, + "loss": 0.6367, + "step": 28828 + }, + { + "epoch": 0.85, + "learning_rate": 6.017138904572261e-07, + "loss": 0.7693, + "step": 28829 + }, + { + "epoch": 0.85, + "learning_rate": 6.014876311004169e-07, + "loss": 0.7221, + "step": 28830 + }, + { + "epoch": 0.85, + "learning_rate": 6.01261411568686e-07, + "loss": 0.6767, + "step": 28831 + }, + { + "epoch": 0.85, + "learning_rate": 6.010352318640833e-07, + "loss": 0.6079, + "step": 28832 + }, + { + "epoch": 0.85, + "learning_rate": 6.008090919886556e-07, + "loss": 0.5767, + "step": 28833 + }, + { + "epoch": 0.85, + "learning_rate": 6.005829919444511e-07, + "loss": 0.463, + "step": 28834 + }, + { + "epoch": 0.85, + "learning_rate": 6.003569317335179e-07, + "loss": 0.636, + "step": 28835 + }, + { + "epoch": 0.85, + "learning_rate": 6.001309113579001e-07, + "loss": 0.7964, + "step": 28836 + }, + { + "epoch": 0.85, + "learning_rate": 5.999049308196475e-07, + "loss": 0.5967, + "step": 28837 + }, + { + "epoch": 0.85, + "learning_rate": 5.996789901208033e-07, + "loss": 0.4994, + "step": 28838 + }, + { + "epoch": 0.85, + "learning_rate": 5.994530892634154e-07, + "loss": 0.4872, + "step": 28839 + }, + { + "epoch": 0.85, + "learning_rate": 5.992272282495265e-07, + "loss": 0.5719, + "step": 28840 + }, + { + "epoch": 0.85, + "learning_rate": 5.990014070811851e-07, + "loss": 0.6734, + "step": 28841 + }, + { + "epoch": 0.85, + "learning_rate": 5.987756257604327e-07, + "loss": 0.5354, + "step": 28842 + }, + { + "epoch": 0.85, + "learning_rate": 5.985498842893145e-07, + "loss": 0.7319, + "step": 28843 + }, + { + "epoch": 0.85, + "learning_rate": 5.98324182669875e-07, + "loss": 0.9439, + "step": 28844 + }, + { + "epoch": 0.85, + "learning_rate": 5.980985209041584e-07, + "loss": 0.556, + "step": 28845 + }, + { + "epoch": 0.85, + "learning_rate": 5.978728989942062e-07, + "loss": 0.6462, + "step": 28846 + }, + { + "epoch": 0.85, + "learning_rate": 5.976473169420626e-07, + "loss": 0.3899, + "step": 28847 + }, + { + "epoch": 0.85, + "learning_rate": 5.97421774749769e-07, + "loss": 0.7359, + "step": 28848 + }, + { + "epoch": 0.85, + "learning_rate": 5.971962724193687e-07, + "loss": 0.7304, + "step": 28849 + }, + { + "epoch": 0.85, + "learning_rate": 5.969708099529014e-07, + "loss": 0.7478, + "step": 28850 + }, + { + "epoch": 0.85, + "learning_rate": 5.967453873524115e-07, + "loss": 0.6821, + "step": 28851 + }, + { + "epoch": 0.85, + "learning_rate": 5.965200046199371e-07, + "loss": 0.6041, + "step": 28852 + }, + { + "epoch": 0.85, + "learning_rate": 5.962946617575199e-07, + "loss": 1.2237, + "step": 28853 + }, + { + "epoch": 0.85, + "learning_rate": 5.960693587672017e-07, + "loss": 0.8973, + "step": 28854 + }, + { + "epoch": 0.85, + "learning_rate": 5.958440956510197e-07, + "loss": 0.7999, + "step": 28855 + }, + { + "epoch": 0.85, + "learning_rate": 5.956188724110162e-07, + "loss": 0.9314, + "step": 28856 + }, + { + "epoch": 0.85, + "learning_rate": 5.953936890492284e-07, + "loss": 0.6467, + "step": 28857 + }, + { + "epoch": 0.85, + "learning_rate": 5.95168545567697e-07, + "loss": 0.771, + "step": 28858 + }, + { + "epoch": 0.85, + "learning_rate": 5.94943441968458e-07, + "loss": 0.4858, + "step": 28859 + }, + { + "epoch": 0.85, + "learning_rate": 5.947183782535521e-07, + "loss": 0.9341, + "step": 28860 + }, + { + "epoch": 0.85, + "learning_rate": 5.944933544250148e-07, + "loss": 0.709, + "step": 28861 + }, + { + "epoch": 0.85, + "learning_rate": 5.942683704848861e-07, + "loss": 0.5049, + "step": 28862 + }, + { + "epoch": 0.85, + "learning_rate": 5.940434264351991e-07, + "loss": 0.4411, + "step": 28863 + }, + { + "epoch": 0.85, + "learning_rate": 5.938185222779951e-07, + "loss": 0.6553, + "step": 28864 + }, + { + "epoch": 0.85, + "learning_rate": 5.935936580153074e-07, + "loss": 0.7029, + "step": 28865 + }, + { + "epoch": 0.85, + "learning_rate": 5.933688336491738e-07, + "loss": 0.607, + "step": 28866 + }, + { + "epoch": 0.85, + "learning_rate": 5.931440491816281e-07, + "loss": 0.7898, + "step": 28867 + }, + { + "epoch": 0.85, + "learning_rate": 5.929193046147075e-07, + "loss": 0.3686, + "step": 28868 + }, + { + "epoch": 0.85, + "learning_rate": 5.926945999504446e-07, + "loss": 0.8666, + "step": 28869 + }, + { + "epoch": 0.85, + "learning_rate": 5.924699351908764e-07, + "loss": 0.7598, + "step": 28870 + }, + { + "epoch": 0.85, + "learning_rate": 5.922453103380344e-07, + "loss": 0.7566, + "step": 28871 + }, + { + "epoch": 0.85, + "learning_rate": 5.920207253939542e-07, + "loss": 0.7653, + "step": 28872 + }, + { + "epoch": 0.85, + "learning_rate": 5.917961803606698e-07, + "loss": 0.6156, + "step": 28873 + }, + { + "epoch": 0.85, + "learning_rate": 5.915716752402123e-07, + "loss": 0.9714, + "step": 28874 + }, + { + "epoch": 0.85, + "learning_rate": 5.913472100346162e-07, + "loss": 0.8237, + "step": 28875 + }, + { + "epoch": 0.85, + "learning_rate": 5.911227847459128e-07, + "loss": 0.6357, + "step": 28876 + }, + { + "epoch": 0.85, + "learning_rate": 5.908983993761347e-07, + "loss": 0.7893, + "step": 28877 + }, + { + "epoch": 0.85, + "learning_rate": 5.906740539273126e-07, + "loss": 0.7507, + "step": 28878 + }, + { + "epoch": 0.85, + "learning_rate": 5.904497484014793e-07, + "loss": 0.8679, + "step": 28879 + }, + { + "epoch": 0.85, + "learning_rate": 5.902254828006637e-07, + "loss": 0.6598, + "step": 28880 + }, + { + "epoch": 0.85, + "learning_rate": 5.900012571268987e-07, + "loss": 0.7974, + "step": 28881 + }, + { + "epoch": 0.85, + "learning_rate": 5.89777071382211e-07, + "loss": 0.786, + "step": 28882 + }, + { + "epoch": 0.85, + "learning_rate": 5.89552925568635e-07, + "loss": 0.8343, + "step": 28883 + }, + { + "epoch": 0.85, + "learning_rate": 5.893288196881969e-07, + "loss": 0.9177, + "step": 28884 + }, + { + "epoch": 0.85, + "learning_rate": 5.891047537429273e-07, + "loss": 0.6988, + "step": 28885 + }, + { + "epoch": 0.85, + "learning_rate": 5.888807277348534e-07, + "loss": 0.7443, + "step": 28886 + }, + { + "epoch": 0.85, + "learning_rate": 5.886567416660061e-07, + "loss": 0.6257, + "step": 28887 + }, + { + "epoch": 0.85, + "learning_rate": 5.884327955384106e-07, + "loss": 0.5811, + "step": 28888 + }, + { + "epoch": 0.85, + "learning_rate": 5.882088893540971e-07, + "loss": 0.6467, + "step": 28889 + }, + { + "epoch": 0.85, + "learning_rate": 5.879850231150902e-07, + "loss": 0.5087, + "step": 28890 + }, + { + "epoch": 0.85, + "learning_rate": 5.877611968234199e-07, + "loss": 0.649, + "step": 28891 + }, + { + "epoch": 0.85, + "learning_rate": 5.875374104811094e-07, + "loss": 0.7227, + "step": 28892 + }, + { + "epoch": 0.85, + "learning_rate": 5.873136640901867e-07, + "loss": 0.6875, + "step": 28893 + }, + { + "epoch": 0.85, + "learning_rate": 5.87089957652679e-07, + "loss": 0.7274, + "step": 28894 + }, + { + "epoch": 0.85, + "learning_rate": 5.868662911706091e-07, + "loss": 0.7882, + "step": 28895 + }, + { + "epoch": 0.85, + "learning_rate": 5.866426646460049e-07, + "loss": 0.692, + "step": 28896 + }, + { + "epoch": 0.85, + "learning_rate": 5.864190780808881e-07, + "loss": 0.7478, + "step": 28897 + }, + { + "epoch": 0.85, + "learning_rate": 5.86195531477286e-07, + "loss": 0.8334, + "step": 28898 + }, + { + "epoch": 0.85, + "learning_rate": 5.859720248372203e-07, + "loss": 0.456, + "step": 28899 + }, + { + "epoch": 0.85, + "learning_rate": 5.857485581627171e-07, + "loss": 0.6916, + "step": 28900 + }, + { + "epoch": 0.85, + "learning_rate": 5.855251314557964e-07, + "loss": 0.6615, + "step": 28901 + }, + { + "epoch": 0.85, + "learning_rate": 5.853017447184838e-07, + "loss": 0.8523, + "step": 28902 + }, + { + "epoch": 0.85, + "learning_rate": 5.850783979528008e-07, + "loss": 0.5986, + "step": 28903 + }, + { + "epoch": 0.85, + "learning_rate": 5.848550911607709e-07, + "loss": 0.7944, + "step": 28904 + }, + { + "epoch": 0.85, + "learning_rate": 5.846318243444143e-07, + "loss": 0.85, + "step": 28905 + }, + { + "epoch": 0.85, + "learning_rate": 5.844085975057545e-07, + "loss": 0.8725, + "step": 28906 + }, + { + "epoch": 0.85, + "learning_rate": 5.841854106468098e-07, + "loss": 0.6264, + "step": 28907 + }, + { + "epoch": 0.85, + "learning_rate": 5.83962263769604e-07, + "loss": 0.7546, + "step": 28908 + }, + { + "epoch": 0.85, + "learning_rate": 5.837391568761553e-07, + "loss": 0.5837, + "step": 28909 + }, + { + "epoch": 0.85, + "learning_rate": 5.83516089968485e-07, + "loss": 0.9947, + "step": 28910 + }, + { + "epoch": 0.85, + "learning_rate": 5.832930630486117e-07, + "loss": 0.5516, + "step": 28911 + }, + { + "epoch": 0.85, + "learning_rate": 5.830700761185553e-07, + "loss": 0.6725, + "step": 28912 + }, + { + "epoch": 0.85, + "learning_rate": 5.828471291803356e-07, + "loss": 0.2774, + "step": 28913 + }, + { + "epoch": 0.85, + "learning_rate": 5.826242222359696e-07, + "loss": 0.7843, + "step": 28914 + }, + { + "epoch": 0.85, + "learning_rate": 5.82401355287478e-07, + "loss": 0.7678, + "step": 28915 + }, + { + "epoch": 0.85, + "learning_rate": 5.821785283368753e-07, + "loss": 0.7945, + "step": 28916 + }, + { + "epoch": 0.85, + "learning_rate": 5.819557413861826e-07, + "loss": 0.7984, + "step": 28917 + }, + { + "epoch": 0.85, + "learning_rate": 5.81732994437414e-07, + "loss": 0.4778, + "step": 28918 + }, + { + "epoch": 0.85, + "learning_rate": 5.815102874925882e-07, + "loss": 0.9439, + "step": 28919 + }, + { + "epoch": 0.85, + "learning_rate": 5.812876205537205e-07, + "loss": 0.7247, + "step": 28920 + }, + { + "epoch": 0.85, + "learning_rate": 5.81064993622828e-07, + "loss": 0.669, + "step": 28921 + }, + { + "epoch": 0.85, + "learning_rate": 5.808424067019241e-07, + "loss": 0.6446, + "step": 28922 + }, + { + "epoch": 0.85, + "learning_rate": 5.806198597930285e-07, + "loss": 0.9068, + "step": 28923 + }, + { + "epoch": 0.85, + "learning_rate": 5.803973528981521e-07, + "loss": 0.9808, + "step": 28924 + }, + { + "epoch": 0.85, + "learning_rate": 5.801748860193124e-07, + "loss": 0.7465, + "step": 28925 + }, + { + "epoch": 0.85, + "learning_rate": 5.799524591585209e-07, + "loss": 0.4293, + "step": 28926 + }, + { + "epoch": 0.85, + "learning_rate": 5.797300723177945e-07, + "loss": 0.6339, + "step": 28927 + }, + { + "epoch": 0.85, + "learning_rate": 5.795077254991438e-07, + "loss": 0.6053, + "step": 28928 + }, + { + "epoch": 0.85, + "learning_rate": 5.792854187045843e-07, + "loss": 0.5592, + "step": 28929 + }, + { + "epoch": 0.85, + "learning_rate": 5.790631519361273e-07, + "loss": 0.5938, + "step": 28930 + }, + { + "epoch": 0.85, + "learning_rate": 5.788409251957855e-07, + "loss": 0.8745, + "step": 28931 + }, + { + "epoch": 0.85, + "learning_rate": 5.786187384855724e-07, + "loss": 0.7517, + "step": 28932 + }, + { + "epoch": 0.85, + "learning_rate": 5.783965918074974e-07, + "loss": 0.6327, + "step": 28933 + }, + { + "epoch": 0.85, + "learning_rate": 5.781744851635746e-07, + "loss": 0.7388, + "step": 28934 + }, + { + "epoch": 0.85, + "learning_rate": 5.779524185558122e-07, + "loss": 0.664, + "step": 28935 + }, + { + "epoch": 0.85, + "learning_rate": 5.777303919862231e-07, + "loss": 0.9862, + "step": 28936 + }, + { + "epoch": 0.85, + "learning_rate": 5.775084054568153e-07, + "loss": 0.4558, + "step": 28937 + }, + { + "epoch": 0.85, + "learning_rate": 5.772864589696014e-07, + "loss": 0.7568, + "step": 28938 + }, + { + "epoch": 0.85, + "learning_rate": 5.770645525265888e-07, + "loss": 0.7513, + "step": 28939 + }, + { + "epoch": 0.85, + "learning_rate": 5.768426861297882e-07, + "loss": 0.9412, + "step": 28940 + }, + { + "epoch": 0.85, + "learning_rate": 5.766208597812057e-07, + "loss": 0.5265, + "step": 28941 + }, + { + "epoch": 0.85, + "learning_rate": 5.763990734828539e-07, + "loss": 0.6854, + "step": 28942 + }, + { + "epoch": 0.85, + "learning_rate": 5.761773272367377e-07, + "loss": 0.3542, + "step": 28943 + }, + { + "epoch": 0.85, + "learning_rate": 5.759556210448669e-07, + "loss": 0.5508, + "step": 28944 + }, + { + "epoch": 0.85, + "learning_rate": 5.757339549092466e-07, + "loss": 0.6938, + "step": 28945 + }, + { + "epoch": 0.85, + "learning_rate": 5.755123288318865e-07, + "loss": 0.5843, + "step": 28946 + }, + { + "epoch": 0.85, + "learning_rate": 5.752907428147902e-07, + "loss": 0.564, + "step": 28947 + }, + { + "epoch": 0.85, + "learning_rate": 5.750691968599675e-07, + "loss": 0.605, + "step": 28948 + }, + { + "epoch": 0.85, + "learning_rate": 5.748476909694211e-07, + "loss": 0.8533, + "step": 28949 + }, + { + "epoch": 0.85, + "learning_rate": 5.74626225145159e-07, + "loss": 0.8221, + "step": 28950 + }, + { + "epoch": 0.85, + "learning_rate": 5.744047993891827e-07, + "loss": 0.6576, + "step": 28951 + }, + { + "epoch": 0.85, + "learning_rate": 5.741834137035024e-07, + "loss": 0.8659, + "step": 28952 + }, + { + "epoch": 0.85, + "learning_rate": 5.739620680901187e-07, + "loss": 0.5975, + "step": 28953 + }, + { + "epoch": 0.85, + "learning_rate": 5.737407625510371e-07, + "loss": 0.6143, + "step": 28954 + }, + { + "epoch": 0.85, + "learning_rate": 5.735194970882618e-07, + "loss": 0.4922, + "step": 28955 + }, + { + "epoch": 0.85, + "learning_rate": 5.732982717037943e-07, + "loss": 0.6668, + "step": 28956 + }, + { + "epoch": 0.85, + "learning_rate": 5.730770863996398e-07, + "loss": 0.7116, + "step": 28957 + }, + { + "epoch": 0.85, + "learning_rate": 5.72855941177799e-07, + "loss": 0.8107, + "step": 28958 + }, + { + "epoch": 0.85, + "learning_rate": 5.726348360402762e-07, + "loss": 0.5945, + "step": 28959 + }, + { + "epoch": 0.85, + "learning_rate": 5.724137709890715e-07, + "loss": 0.7545, + "step": 28960 + }, + { + "epoch": 0.85, + "learning_rate": 5.721927460261867e-07, + "loss": 0.6005, + "step": 28961 + }, + { + "epoch": 0.85, + "learning_rate": 5.719717611536235e-07, + "loss": 0.7307, + "step": 28962 + }, + { + "epoch": 0.85, + "learning_rate": 5.717508163733843e-07, + "loss": 0.8257, + "step": 28963 + }, + { + "epoch": 0.85, + "learning_rate": 5.715299116874668e-07, + "loss": 0.784, + "step": 28964 + }, + { + "epoch": 0.85, + "learning_rate": 5.713090470978738e-07, + "loss": 0.8348, + "step": 28965 + }, + { + "epoch": 0.85, + "learning_rate": 5.710882226066022e-07, + "loss": 0.5572, + "step": 28966 + }, + { + "epoch": 0.85, + "learning_rate": 5.708674382156542e-07, + "loss": 1.0331, + "step": 28967 + }, + { + "epoch": 0.85, + "learning_rate": 5.706466939270261e-07, + "loss": 0.7127, + "step": 28968 + }, + { + "epoch": 0.85, + "learning_rate": 5.70425989742719e-07, + "loss": 0.5548, + "step": 28969 + }, + { + "epoch": 0.85, + "learning_rate": 5.702053256647294e-07, + "loss": 0.7718, + "step": 28970 + }, + { + "epoch": 0.85, + "learning_rate": 5.69984701695056e-07, + "loss": 0.7461, + "step": 28971 + }, + { + "epoch": 0.85, + "learning_rate": 5.69764117835696e-07, + "loss": 0.9556, + "step": 28972 + }, + { + "epoch": 0.85, + "learning_rate": 5.695435740886485e-07, + "loss": 0.6708, + "step": 28973 + }, + { + "epoch": 0.85, + "learning_rate": 5.693230704559072e-07, + "loss": 0.6251, + "step": 28974 + }, + { + "epoch": 0.85, + "learning_rate": 5.691026069394717e-07, + "loss": 0.6999, + "step": 28975 + }, + { + "epoch": 0.85, + "learning_rate": 5.688821835413355e-07, + "loss": 0.741, + "step": 28976 + }, + { + "epoch": 0.85, + "learning_rate": 5.686618002634964e-07, + "loss": 0.6771, + "step": 28977 + }, + { + "epoch": 0.85, + "learning_rate": 5.684414571079483e-07, + "loss": 0.5418, + "step": 28978 + }, + { + "epoch": 0.85, + "learning_rate": 5.682211540766874e-07, + "loss": 0.6483, + "step": 28979 + }, + { + "epoch": 0.85, + "learning_rate": 5.680008911717077e-07, + "loss": 0.5814, + "step": 28980 + }, + { + "epoch": 0.85, + "learning_rate": 5.677806683950021e-07, + "loss": 0.5208, + "step": 28981 + }, + { + "epoch": 0.85, + "learning_rate": 5.675604857485678e-07, + "loss": 0.6352, + "step": 28982 + }, + { + "epoch": 0.85, + "learning_rate": 5.673403432343955e-07, + "loss": 0.4719, + "step": 28983 + }, + { + "epoch": 0.85, + "learning_rate": 5.671202408544807e-07, + "loss": 0.8284, + "step": 28984 + }, + { + "epoch": 0.85, + "learning_rate": 5.669001786108141e-07, + "loss": 0.6414, + "step": 28985 + }, + { + "epoch": 0.85, + "learning_rate": 5.666801565053903e-07, + "loss": 0.5959, + "step": 28986 + }, + { + "epoch": 0.85, + "learning_rate": 5.664601745401993e-07, + "loss": 0.6257, + "step": 28987 + }, + { + "epoch": 0.85, + "learning_rate": 5.66240232717235e-07, + "loss": 0.89, + "step": 28988 + }, + { + "epoch": 0.85, + "learning_rate": 5.660203310384865e-07, + "loss": 0.6944, + "step": 28989 + }, + { + "epoch": 0.85, + "learning_rate": 5.658004695059471e-07, + "loss": 0.7831, + "step": 28990 + }, + { + "epoch": 0.85, + "learning_rate": 5.655806481216047e-07, + "loss": 0.6403, + "step": 28991 + }, + { + "epoch": 0.85, + "learning_rate": 5.653608668874528e-07, + "loss": 0.9121, + "step": 28992 + }, + { + "epoch": 0.85, + "learning_rate": 5.65141125805479e-07, + "loss": 0.664, + "step": 28993 + }, + { + "epoch": 0.85, + "learning_rate": 5.649214248776752e-07, + "loss": 0.6769, + "step": 28994 + }, + { + "epoch": 0.85, + "learning_rate": 5.647017641060276e-07, + "loss": 0.9797, + "step": 28995 + }, + { + "epoch": 0.85, + "learning_rate": 5.644821434925279e-07, + "loss": 0.6038, + "step": 28996 + }, + { + "epoch": 0.85, + "learning_rate": 5.642625630391623e-07, + "loss": 0.715, + "step": 28997 + }, + { + "epoch": 0.85, + "learning_rate": 5.64043022747921e-07, + "loss": 0.7372, + "step": 28998 + }, + { + "epoch": 0.85, + "learning_rate": 5.638235226207894e-07, + "loss": 0.8527, + "step": 28999 + }, + { + "epoch": 0.85, + "learning_rate": 5.636040626597561e-07, + "loss": 0.5285, + "step": 29000 + }, + { + "epoch": 0.85, + "learning_rate": 5.6338464286681e-07, + "loss": 0.5167, + "step": 29001 + }, + { + "epoch": 0.85, + "learning_rate": 5.631652632439344e-07, + "loss": 0.7967, + "step": 29002 + }, + { + "epoch": 0.85, + "learning_rate": 5.629459237931184e-07, + "loss": 0.8882, + "step": 29003 + }, + { + "epoch": 0.85, + "learning_rate": 5.627266245163459e-07, + "loss": 0.4526, + "step": 29004 + }, + { + "epoch": 0.85, + "learning_rate": 5.625073654156044e-07, + "loss": 0.5168, + "step": 29005 + }, + { + "epoch": 0.85, + "learning_rate": 5.62288146492877e-07, + "loss": 0.7168, + "step": 29006 + }, + { + "epoch": 0.85, + "learning_rate": 5.6206896775015e-07, + "loss": 0.5641, + "step": 29007 + }, + { + "epoch": 0.85, + "learning_rate": 5.618498291894076e-07, + "loss": 0.7185, + "step": 29008 + }, + { + "epoch": 0.85, + "learning_rate": 5.61630730812634e-07, + "loss": 0.5922, + "step": 29009 + }, + { + "epoch": 0.85, + "learning_rate": 5.614116726218116e-07, + "loss": 0.8537, + "step": 29010 + }, + { + "epoch": 0.85, + "learning_rate": 5.611926546189262e-07, + "loss": 0.5636, + "step": 29011 + }, + { + "epoch": 0.85, + "learning_rate": 5.609736768059593e-07, + "loss": 0.6808, + "step": 29012 + }, + { + "epoch": 0.85, + "learning_rate": 5.607547391848944e-07, + "loss": 0.6014, + "step": 29013 + }, + { + "epoch": 0.85, + "learning_rate": 5.605358417577128e-07, + "loss": 0.4387, + "step": 29014 + }, + { + "epoch": 0.85, + "learning_rate": 5.603169845263978e-07, + "loss": 0.4643, + "step": 29015 + }, + { + "epoch": 0.85, + "learning_rate": 5.600981674929295e-07, + "loss": 0.8129, + "step": 29016 + }, + { + "epoch": 0.85, + "learning_rate": 5.598793906592903e-07, + "loss": 0.6334, + "step": 29017 + }, + { + "epoch": 0.85, + "learning_rate": 5.596606540274597e-07, + "loss": 0.7483, + "step": 29018 + }, + { + "epoch": 0.85, + "learning_rate": 5.594419575994197e-07, + "loss": 0.618, + "step": 29019 + }, + { + "epoch": 0.85, + "learning_rate": 5.592233013771492e-07, + "loss": 0.6143, + "step": 29020 + }, + { + "epoch": 0.85, + "learning_rate": 5.590046853626285e-07, + "loss": 0.9745, + "step": 29021 + }, + { + "epoch": 0.85, + "learning_rate": 5.587861095578379e-07, + "loss": 0.5223, + "step": 29022 + }, + { + "epoch": 0.85, + "learning_rate": 5.585675739647545e-07, + "loss": 0.6683, + "step": 29023 + }, + { + "epoch": 0.85, + "learning_rate": 5.58349078585359e-07, + "loss": 0.5021, + "step": 29024 + }, + { + "epoch": 0.85, + "learning_rate": 5.581306234216277e-07, + "loss": 0.8074, + "step": 29025 + }, + { + "epoch": 0.85, + "learning_rate": 5.579122084755406e-07, + "loss": 0.6748, + "step": 29026 + }, + { + "epoch": 0.85, + "learning_rate": 5.576938337490734e-07, + "loss": 0.5469, + "step": 29027 + }, + { + "epoch": 0.85, + "learning_rate": 5.57475499244205e-07, + "loss": 0.7224, + "step": 29028 + }, + { + "epoch": 0.85, + "learning_rate": 5.572572049629099e-07, + "loss": 0.4864, + "step": 29029 + }, + { + "epoch": 0.85, + "learning_rate": 5.570389509071666e-07, + "loss": 0.6583, + "step": 29030 + }, + { + "epoch": 0.85, + "learning_rate": 5.568207370789508e-07, + "loss": 0.6873, + "step": 29031 + }, + { + "epoch": 0.85, + "learning_rate": 5.566025634802385e-07, + "loss": 0.9118, + "step": 29032 + }, + { + "epoch": 0.85, + "learning_rate": 5.563844301130045e-07, + "loss": 0.6369, + "step": 29033 + }, + { + "epoch": 0.85, + "learning_rate": 5.561663369792248e-07, + "loss": 0.8734, + "step": 29034 + }, + { + "epoch": 0.85, + "learning_rate": 5.559482840808716e-07, + "loss": 0.7205, + "step": 29035 + }, + { + "epoch": 0.85, + "learning_rate": 5.557302714199231e-07, + "loss": 0.5685, + "step": 29036 + }, + { + "epoch": 0.85, + "learning_rate": 5.555122989983491e-07, + "loss": 0.6155, + "step": 29037 + }, + { + "epoch": 0.85, + "learning_rate": 5.552943668181266e-07, + "loss": 0.7501, + "step": 29038 + }, + { + "epoch": 0.85, + "learning_rate": 5.550764748812265e-07, + "loss": 0.8715, + "step": 29039 + }, + { + "epoch": 0.85, + "learning_rate": 5.548586231896219e-07, + "loss": 0.6693, + "step": 29040 + }, + { + "epoch": 0.85, + "learning_rate": 5.546408117452873e-07, + "loss": 0.6827, + "step": 29041 + }, + { + "epoch": 0.85, + "learning_rate": 5.544230405501921e-07, + "loss": 0.8955, + "step": 29042 + }, + { + "epoch": 0.85, + "learning_rate": 5.542053096063104e-07, + "loss": 0.6478, + "step": 29043 + }, + { + "epoch": 0.85, + "learning_rate": 5.539876189156113e-07, + "loss": 1.0946, + "step": 29044 + }, + { + "epoch": 0.85, + "learning_rate": 5.537699684800685e-07, + "loss": 0.7491, + "step": 29045 + }, + { + "epoch": 0.85, + "learning_rate": 5.5355235830165e-07, + "loss": 0.7271, + "step": 29046 + }, + { + "epoch": 0.85, + "learning_rate": 5.533347883823275e-07, + "loss": 0.5176, + "step": 29047 + }, + { + "epoch": 0.85, + "learning_rate": 5.531172587240707e-07, + "loss": 0.7201, + "step": 29048 + }, + { + "epoch": 0.85, + "learning_rate": 5.528997693288496e-07, + "loss": 0.7883, + "step": 29049 + }, + { + "epoch": 0.85, + "learning_rate": 5.526823201986309e-07, + "loss": 0.6734, + "step": 29050 + }, + { + "epoch": 0.85, + "learning_rate": 5.524649113353874e-07, + "loss": 0.902, + "step": 29051 + }, + { + "epoch": 0.85, + "learning_rate": 5.522475427410851e-07, + "loss": 0.7365, + "step": 29052 + }, + { + "epoch": 0.85, + "learning_rate": 5.520302144176936e-07, + "loss": 0.7007, + "step": 29053 + }, + { + "epoch": 0.85, + "learning_rate": 5.518129263671784e-07, + "loss": 0.7289, + "step": 29054 + }, + { + "epoch": 0.85, + "learning_rate": 5.515956785915089e-07, + "loss": 0.9009, + "step": 29055 + }, + { + "epoch": 0.85, + "learning_rate": 5.513784710926507e-07, + "loss": 0.6476, + "step": 29056 + }, + { + "epoch": 0.85, + "learning_rate": 5.511613038725722e-07, + "loss": 0.7013, + "step": 29057 + }, + { + "epoch": 0.85, + "learning_rate": 5.509441769332369e-07, + "loss": 0.7166, + "step": 29058 + }, + { + "epoch": 0.85, + "learning_rate": 5.507270902766143e-07, + "loss": 0.8249, + "step": 29059 + }, + { + "epoch": 0.85, + "learning_rate": 5.505100439046662e-07, + "loss": 0.7923, + "step": 29060 + }, + { + "epoch": 0.85, + "learning_rate": 5.5029303781936e-07, + "loss": 0.7884, + "step": 29061 + }, + { + "epoch": 0.85, + "learning_rate": 5.500760720226612e-07, + "loss": 0.9729, + "step": 29062 + }, + { + "epoch": 0.85, + "learning_rate": 5.498591465165321e-07, + "loss": 0.5939, + "step": 29063 + }, + { + "epoch": 0.85, + "learning_rate": 5.49642261302939e-07, + "loss": 0.7354, + "step": 29064 + }, + { + "epoch": 0.85, + "learning_rate": 5.494254163838436e-07, + "loss": 0.5702, + "step": 29065 + }, + { + "epoch": 0.85, + "learning_rate": 5.492086117612111e-07, + "loss": 0.6825, + "step": 29066 + }, + { + "epoch": 0.85, + "learning_rate": 5.489918474370021e-07, + "loss": 0.7609, + "step": 29067 + }, + { + "epoch": 0.85, + "learning_rate": 5.487751234131822e-07, + "loss": 0.7451, + "step": 29068 + }, + { + "epoch": 0.85, + "learning_rate": 5.485584396917099e-07, + "loss": 0.6505, + "step": 29069 + }, + { + "epoch": 0.85, + "learning_rate": 5.483417962745519e-07, + "loss": 0.7141, + "step": 29070 + }, + { + "epoch": 0.85, + "learning_rate": 5.481251931636655e-07, + "loss": 0.6722, + "step": 29071 + }, + { + "epoch": 0.85, + "learning_rate": 5.479086303610148e-07, + "loss": 0.5563, + "step": 29072 + }, + { + "epoch": 0.85, + "learning_rate": 5.476921078685582e-07, + "loss": 0.7446, + "step": 29073 + }, + { + "epoch": 0.85, + "learning_rate": 5.474756256882591e-07, + "loss": 0.6401, + "step": 29074 + }, + { + "epoch": 0.85, + "learning_rate": 5.472591838220742e-07, + "loss": 0.7674, + "step": 29075 + }, + { + "epoch": 0.85, + "learning_rate": 5.470427822719654e-07, + "loss": 0.6289, + "step": 29076 + }, + { + "epoch": 0.85, + "learning_rate": 5.46826421039891e-07, + "loss": 0.6835, + "step": 29077 + }, + { + "epoch": 0.85, + "learning_rate": 5.466101001278112e-07, + "loss": 0.6307, + "step": 29078 + }, + { + "epoch": 0.85, + "learning_rate": 5.463938195376834e-07, + "loss": 0.445, + "step": 29079 + }, + { + "epoch": 0.85, + "learning_rate": 5.461775792714657e-07, + "loss": 0.5831, + "step": 29080 + }, + { + "epoch": 0.85, + "learning_rate": 5.45961379331118e-07, + "loss": 0.5361, + "step": 29081 + }, + { + "epoch": 0.85, + "learning_rate": 5.457452197185947e-07, + "loss": 0.6615, + "step": 29082 + }, + { + "epoch": 0.85, + "learning_rate": 5.455291004358565e-07, + "loss": 0.7884, + "step": 29083 + }, + { + "epoch": 0.85, + "learning_rate": 5.453130214848568e-07, + "loss": 0.9651, + "step": 29084 + }, + { + "epoch": 0.85, + "learning_rate": 5.450969828675551e-07, + "loss": 0.9848, + "step": 29085 + }, + { + "epoch": 0.85, + "learning_rate": 5.448809845859044e-07, + "loss": 0.5937, + "step": 29086 + }, + { + "epoch": 0.85, + "learning_rate": 5.446650266418635e-07, + "loss": 0.7715, + "step": 29087 + }, + { + "epoch": 0.85, + "learning_rate": 5.444491090373843e-07, + "loss": 0.7407, + "step": 29088 + }, + { + "epoch": 0.85, + "learning_rate": 5.442332317744242e-07, + "loss": 0.7494, + "step": 29089 + }, + { + "epoch": 0.85, + "learning_rate": 5.440173948549371e-07, + "loss": 0.7428, + "step": 29090 + }, + { + "epoch": 0.85, + "learning_rate": 5.438015982808786e-07, + "loss": 0.6185, + "step": 29091 + }, + { + "epoch": 0.85, + "learning_rate": 5.435858420542e-07, + "loss": 0.8093, + "step": 29092 + }, + { + "epoch": 0.85, + "learning_rate": 5.433701261768576e-07, + "loss": 0.7971, + "step": 29093 + }, + { + "epoch": 0.85, + "learning_rate": 5.431544506508019e-07, + "loss": 0.8406, + "step": 29094 + }, + { + "epoch": 0.85, + "learning_rate": 5.429388154779875e-07, + "loss": 0.4815, + "step": 29095 + }, + { + "epoch": 0.85, + "learning_rate": 5.427232206603656e-07, + "loss": 0.7783, + "step": 29096 + }, + { + "epoch": 0.85, + "learning_rate": 5.425076661998896e-07, + "loss": 0.7085, + "step": 29097 + }, + { + "epoch": 0.85, + "learning_rate": 5.422921520985092e-07, + "loss": 0.6866, + "step": 29098 + }, + { + "epoch": 0.85, + "learning_rate": 5.420766783581772e-07, + "loss": 0.8661, + "step": 29099 + }, + { + "epoch": 0.85, + "learning_rate": 5.418612449808446e-07, + "loss": 0.8235, + "step": 29100 + }, + { + "epoch": 0.85, + "learning_rate": 5.416458519684614e-07, + "loss": 0.9277, + "step": 29101 + }, + { + "epoch": 0.85, + "learning_rate": 5.414304993229785e-07, + "loss": 0.8098, + "step": 29102 + }, + { + "epoch": 0.86, + "learning_rate": 5.412151870463445e-07, + "loss": 0.8135, + "step": 29103 + }, + { + "epoch": 0.86, + "learning_rate": 5.40999915140511e-07, + "loss": 0.5714, + "step": 29104 + }, + { + "epoch": 0.86, + "learning_rate": 5.407846836074243e-07, + "loss": 0.5648, + "step": 29105 + }, + { + "epoch": 0.86, + "learning_rate": 5.405694924490357e-07, + "loss": 0.7905, + "step": 29106 + }, + { + "epoch": 0.86, + "learning_rate": 5.403543416672913e-07, + "loss": 0.4798, + "step": 29107 + }, + { + "epoch": 0.86, + "learning_rate": 5.401392312641418e-07, + "loss": 0.8338, + "step": 29108 + }, + { + "epoch": 0.86, + "learning_rate": 5.399241612415312e-07, + "loss": 0.702, + "step": 29109 + }, + { + "epoch": 0.86, + "learning_rate": 5.397091316014108e-07, + "loss": 0.5685, + "step": 29110 + }, + { + "epoch": 0.86, + "learning_rate": 5.394941423457251e-07, + "loss": 1.0236, + "step": 29111 + }, + { + "epoch": 0.86, + "learning_rate": 5.392791934764219e-07, + "loss": 0.7374, + "step": 29112 + }, + { + "epoch": 0.86, + "learning_rate": 5.390642849954458e-07, + "loss": 0.6365, + "step": 29113 + }, + { + "epoch": 0.86, + "learning_rate": 5.388494169047448e-07, + "loss": 0.7288, + "step": 29114 + }, + { + "epoch": 0.86, + "learning_rate": 5.386345892062617e-07, + "loss": 0.6194, + "step": 29115 + }, + { + "epoch": 0.86, + "learning_rate": 5.384198019019443e-07, + "loss": 0.8251, + "step": 29116 + }, + { + "epoch": 0.86, + "learning_rate": 5.382050549937351e-07, + "loss": 0.5092, + "step": 29117 + }, + { + "epoch": 0.86, + "learning_rate": 5.379903484835808e-07, + "loss": 0.5189, + "step": 29118 + }, + { + "epoch": 0.86, + "learning_rate": 5.377756823734226e-07, + "loss": 0.7882, + "step": 29119 + }, + { + "epoch": 0.86, + "learning_rate": 5.375610566652056e-07, + "loss": 0.6609, + "step": 29120 + }, + { + "epoch": 0.86, + "learning_rate": 5.373464713608745e-07, + "loss": 0.5907, + "step": 29121 + }, + { + "epoch": 0.86, + "learning_rate": 5.371319264623692e-07, + "loss": 0.8043, + "step": 29122 + }, + { + "epoch": 0.86, + "learning_rate": 5.36917421971635e-07, + "loss": 0.5885, + "step": 29123 + }, + { + "epoch": 0.86, + "learning_rate": 5.367029578906119e-07, + "loss": 0.7079, + "step": 29124 + }, + { + "epoch": 0.86, + "learning_rate": 5.364885342212434e-07, + "loss": 0.6958, + "step": 29125 + }, + { + "epoch": 0.86, + "learning_rate": 5.362741509654695e-07, + "loss": 0.7211, + "step": 29126 + }, + { + "epoch": 0.86, + "learning_rate": 5.360598081252327e-07, + "loss": 0.8268, + "step": 29127 + }, + { + "epoch": 0.86, + "learning_rate": 5.358455057024708e-07, + "loss": 0.6498, + "step": 29128 + }, + { + "epoch": 0.86, + "learning_rate": 5.35631243699129e-07, + "loss": 0.6033, + "step": 29129 + }, + { + "epoch": 0.86, + "learning_rate": 5.354170221171429e-07, + "loss": 0.6286, + "step": 29130 + }, + { + "epoch": 0.86, + "learning_rate": 5.352028409584553e-07, + "loss": 0.7602, + "step": 29131 + }, + { + "epoch": 0.86, + "learning_rate": 5.349887002250026e-07, + "loss": 0.7788, + "step": 29132 + }, + { + "epoch": 0.86, + "learning_rate": 5.347745999187259e-07, + "loss": 0.6779, + "step": 29133 + }, + { + "epoch": 0.86, + "learning_rate": 5.345605400415622e-07, + "loss": 0.8371, + "step": 29134 + }, + { + "epoch": 0.86, + "learning_rate": 5.343465205954512e-07, + "loss": 0.7122, + "step": 29135 + }, + { + "epoch": 0.86, + "learning_rate": 5.341325415823284e-07, + "loss": 0.9182, + "step": 29136 + }, + { + "epoch": 0.86, + "learning_rate": 5.339186030041338e-07, + "loss": 0.8106, + "step": 29137 + }, + { + "epoch": 0.86, + "learning_rate": 5.337047048628025e-07, + "loss": 0.7488, + "step": 29138 + }, + { + "epoch": 0.86, + "learning_rate": 5.334908471602712e-07, + "loss": 0.5075, + "step": 29139 + }, + { + "epoch": 0.86, + "learning_rate": 5.332770298984785e-07, + "loss": 0.6613, + "step": 29140 + }, + { + "epoch": 0.86, + "learning_rate": 5.330632530793573e-07, + "loss": 0.6776, + "step": 29141 + }, + { + "epoch": 0.86, + "learning_rate": 5.328495167048458e-07, + "loss": 0.7199, + "step": 29142 + }, + { + "epoch": 0.86, + "learning_rate": 5.326358207768772e-07, + "loss": 0.6142, + "step": 29143 + }, + { + "epoch": 0.86, + "learning_rate": 5.324221652973882e-07, + "loss": 0.4638, + "step": 29144 + }, + { + "epoch": 0.86, + "learning_rate": 5.322085502683111e-07, + "loss": 0.7214, + "step": 29145 + }, + { + "epoch": 0.86, + "learning_rate": 5.319949756915821e-07, + "loss": 0.8045, + "step": 29146 + }, + { + "epoch": 0.86, + "learning_rate": 5.31781441569133e-07, + "loss": 0.6457, + "step": 29147 + }, + { + "epoch": 0.86, + "learning_rate": 5.315679479028985e-07, + "loss": 0.6939, + "step": 29148 + }, + { + "epoch": 0.86, + "learning_rate": 5.313544946948113e-07, + "loss": 0.8485, + "step": 29149 + }, + { + "epoch": 0.86, + "learning_rate": 5.311410819468049e-07, + "loss": 0.8342, + "step": 29150 + }, + { + "epoch": 0.86, + "learning_rate": 5.309277096608101e-07, + "loss": 0.9648, + "step": 29151 + }, + { + "epoch": 0.86, + "learning_rate": 5.307143778387602e-07, + "loss": 0.6967, + "step": 29152 + }, + { + "epoch": 0.86, + "learning_rate": 5.305010864825854e-07, + "loss": 0.6244, + "step": 29153 + }, + { + "epoch": 0.86, + "learning_rate": 5.302878355942181e-07, + "loss": 0.7153, + "step": 29154 + }, + { + "epoch": 0.86, + "learning_rate": 5.300746251755878e-07, + "loss": 0.8702, + "step": 29155 + }, + { + "epoch": 0.86, + "learning_rate": 5.298614552286263e-07, + "loss": 0.6445, + "step": 29156 + }, + { + "epoch": 0.86, + "learning_rate": 5.296483257552626e-07, + "loss": 0.5398, + "step": 29157 + }, + { + "epoch": 0.86, + "learning_rate": 5.294352367574268e-07, + "loss": 0.7756, + "step": 29158 + }, + { + "epoch": 0.86, + "learning_rate": 5.292221882370491e-07, + "loss": 0.6347, + "step": 29159 + }, + { + "epoch": 0.86, + "learning_rate": 5.290091801960573e-07, + "loss": 0.7135, + "step": 29160 + }, + { + "epoch": 0.86, + "learning_rate": 5.28796212636381e-07, + "loss": 0.8154, + "step": 29161 + }, + { + "epoch": 0.86, + "learning_rate": 5.285832855599471e-07, + "loss": 0.601, + "step": 29162 + }, + { + "epoch": 0.86, + "learning_rate": 5.283703989686851e-07, + "loss": 0.7412, + "step": 29163 + }, + { + "epoch": 0.86, + "learning_rate": 5.281575528645211e-07, + "loss": 0.7412, + "step": 29164 + }, + { + "epoch": 0.86, + "learning_rate": 5.279447472493837e-07, + "loss": 0.7313, + "step": 29165 + }, + { + "epoch": 0.86, + "learning_rate": 5.27731982125198e-07, + "loss": 0.9678, + "step": 29166 + }, + { + "epoch": 0.86, + "learning_rate": 5.27519257493892e-07, + "loss": 0.8175, + "step": 29167 + }, + { + "epoch": 0.86, + "learning_rate": 5.273065733573896e-07, + "loss": 0.5942, + "step": 29168 + }, + { + "epoch": 0.86, + "learning_rate": 5.270939297176192e-07, + "loss": 0.7683, + "step": 29169 + }, + { + "epoch": 0.86, + "learning_rate": 5.268813265765044e-07, + "loss": 0.5685, + "step": 29170 + }, + { + "epoch": 0.86, + "learning_rate": 5.266687639359714e-07, + "loss": 0.6148, + "step": 29171 + }, + { + "epoch": 0.86, + "learning_rate": 5.26456241797943e-07, + "loss": 0.5056, + "step": 29172 + }, + { + "epoch": 0.86, + "learning_rate": 5.262437601643455e-07, + "loss": 0.8903, + "step": 29173 + }, + { + "epoch": 0.86, + "learning_rate": 5.260313190371008e-07, + "loss": 0.6821, + "step": 29174 + }, + { + "epoch": 0.86, + "learning_rate": 5.258189184181339e-07, + "loss": 0.6783, + "step": 29175 + }, + { + "epoch": 0.86, + "learning_rate": 5.256065583093667e-07, + "loss": 0.4784, + "step": 29176 + }, + { + "epoch": 0.86, + "learning_rate": 5.253942387127236e-07, + "loss": 0.6359, + "step": 29177 + }, + { + "epoch": 0.86, + "learning_rate": 5.251819596301244e-07, + "loss": 0.8015, + "step": 29178 + }, + { + "epoch": 0.86, + "learning_rate": 5.24969721063493e-07, + "loss": 0.5591, + "step": 29179 + }, + { + "epoch": 0.86, + "learning_rate": 5.247575230147517e-07, + "loss": 0.9063, + "step": 29180 + }, + { + "epoch": 0.86, + "learning_rate": 5.245453654858201e-07, + "loss": 0.8327, + "step": 29181 + }, + { + "epoch": 0.86, + "learning_rate": 5.243332484786206e-07, + "loss": 0.4393, + "step": 29182 + }, + { + "epoch": 0.86, + "learning_rate": 5.241211719950718e-07, + "loss": 0.7452, + "step": 29183 + }, + { + "epoch": 0.86, + "learning_rate": 5.239091360370962e-07, + "loss": 0.6368, + "step": 29184 + }, + { + "epoch": 0.86, + "learning_rate": 5.236971406066111e-07, + "loss": 0.8917, + "step": 29185 + }, + { + "epoch": 0.86, + "learning_rate": 5.234851857055389e-07, + "loss": 0.9506, + "step": 29186 + }, + { + "epoch": 0.86, + "learning_rate": 5.232732713357958e-07, + "loss": 0.5964, + "step": 29187 + }, + { + "epoch": 0.86, + "learning_rate": 5.230613974993021e-07, + "loss": 0.556, + "step": 29188 + }, + { + "epoch": 0.86, + "learning_rate": 5.228495641979753e-07, + "loss": 0.6512, + "step": 29189 + }, + { + "epoch": 0.86, + "learning_rate": 5.226377714337355e-07, + "loss": 0.6065, + "step": 29190 + }, + { + "epoch": 0.86, + "learning_rate": 5.224260192084974e-07, + "loss": 0.8956, + "step": 29191 + }, + { + "epoch": 0.86, + "learning_rate": 5.222143075241809e-07, + "loss": 0.7385, + "step": 29192 + }, + { + "epoch": 0.86, + "learning_rate": 5.220026363827008e-07, + "loss": 0.7962, + "step": 29193 + }, + { + "epoch": 0.86, + "learning_rate": 5.217910057859749e-07, + "loss": 0.8609, + "step": 29194 + }, + { + "epoch": 0.86, + "learning_rate": 5.215794157359183e-07, + "loss": 0.6391, + "step": 29195 + }, + { + "epoch": 0.86, + "learning_rate": 5.213678662344485e-07, + "loss": 0.769, + "step": 29196 + }, + { + "epoch": 0.86, + "learning_rate": 5.211563572834783e-07, + "loss": 0.7085, + "step": 29197 + }, + { + "epoch": 0.86, + "learning_rate": 5.209448888849245e-07, + "loss": 0.5729, + "step": 29198 + }, + { + "epoch": 0.86, + "learning_rate": 5.207334610407022e-07, + "loss": 0.8926, + "step": 29199 + }, + { + "epoch": 0.86, + "learning_rate": 5.205220737527245e-07, + "loss": 0.7222, + "step": 29200 + }, + { + "epoch": 0.86, + "learning_rate": 5.203107270229063e-07, + "loss": 0.534, + "step": 29201 + }, + { + "epoch": 0.86, + "learning_rate": 5.200994208531601e-07, + "loss": 0.7612, + "step": 29202 + }, + { + "epoch": 0.86, + "learning_rate": 5.19888155245401e-07, + "loss": 0.5693, + "step": 29203 + }, + { + "epoch": 0.86, + "learning_rate": 5.196769302015392e-07, + "loss": 0.6202, + "step": 29204 + }, + { + "epoch": 0.86, + "learning_rate": 5.194657457234897e-07, + "loss": 0.6659, + "step": 29205 + }, + { + "epoch": 0.86, + "learning_rate": 5.192546018131628e-07, + "loss": 0.6631, + "step": 29206 + }, + { + "epoch": 0.86, + "learning_rate": 5.190434984724707e-07, + "loss": 0.8701, + "step": 29207 + }, + { + "epoch": 0.86, + "learning_rate": 5.188324357033247e-07, + "loss": 0.5117, + "step": 29208 + }, + { + "epoch": 0.86, + "learning_rate": 5.186214135076373e-07, + "loss": 0.7947, + "step": 29209 + }, + { + "epoch": 0.86, + "learning_rate": 5.184104318873173e-07, + "loss": 0.7645, + "step": 29210 + }, + { + "epoch": 0.86, + "learning_rate": 5.181994908442761e-07, + "loss": 0.7225, + "step": 29211 + }, + { + "epoch": 0.86, + "learning_rate": 5.179885903804227e-07, + "loss": 0.4395, + "step": 29212 + }, + { + "epoch": 0.86, + "learning_rate": 5.177777304976673e-07, + "loss": 0.7299, + "step": 29213 + }, + { + "epoch": 0.86, + "learning_rate": 5.175669111979187e-07, + "loss": 0.7366, + "step": 29214 + }, + { + "epoch": 0.86, + "learning_rate": 5.173561324830861e-07, + "loss": 0.5768, + "step": 29215 + }, + { + "epoch": 0.86, + "learning_rate": 5.17145394355077e-07, + "loss": 0.8039, + "step": 29216 + }, + { + "epoch": 0.86, + "learning_rate": 5.169346968158001e-07, + "loss": 0.6241, + "step": 29217 + }, + { + "epoch": 0.86, + "learning_rate": 5.167240398671641e-07, + "loss": 0.802, + "step": 29218 + }, + { + "epoch": 0.86, + "learning_rate": 5.165134235110747e-07, + "loss": 0.5473, + "step": 29219 + }, + { + "epoch": 0.86, + "learning_rate": 5.163028477494402e-07, + "loss": 0.8172, + "step": 29220 + }, + { + "epoch": 0.86, + "learning_rate": 5.16092312584166e-07, + "loss": 0.9032, + "step": 29221 + }, + { + "epoch": 0.86, + "learning_rate": 5.158818180171593e-07, + "loss": 1.0717, + "step": 29222 + }, + { + "epoch": 0.86, + "learning_rate": 5.156713640503253e-07, + "loss": 0.5036, + "step": 29223 + }, + { + "epoch": 0.86, + "learning_rate": 5.154609506855701e-07, + "loss": 0.8783, + "step": 29224 + }, + { + "epoch": 0.86, + "learning_rate": 5.152505779247974e-07, + "loss": 0.8038, + "step": 29225 + }, + { + "epoch": 0.86, + "learning_rate": 5.150402457699144e-07, + "loss": 0.8311, + "step": 29226 + }, + { + "epoch": 0.86, + "learning_rate": 5.148299542228219e-07, + "loss": 0.636, + "step": 29227 + }, + { + "epoch": 0.86, + "learning_rate": 5.146197032854283e-07, + "loss": 0.7231, + "step": 29228 + }, + { + "epoch": 0.86, + "learning_rate": 5.144094929596338e-07, + "loss": 0.6478, + "step": 29229 + }, + { + "epoch": 0.86, + "learning_rate": 5.141993232473441e-07, + "loss": 0.7032, + "step": 29230 + }, + { + "epoch": 0.86, + "learning_rate": 5.139891941504604e-07, + "loss": 0.8855, + "step": 29231 + }, + { + "epoch": 0.86, + "learning_rate": 5.137791056708863e-07, + "loss": 0.7406, + "step": 29232 + }, + { + "epoch": 0.86, + "learning_rate": 5.135690578105229e-07, + "loss": 0.7262, + "step": 29233 + }, + { + "epoch": 0.86, + "learning_rate": 5.133590505712738e-07, + "loss": 0.699, + "step": 29234 + }, + { + "epoch": 0.86, + "learning_rate": 5.13149083955038e-07, + "loss": 0.7973, + "step": 29235 + }, + { + "epoch": 0.86, + "learning_rate": 5.129391579637189e-07, + "loss": 0.7984, + "step": 29236 + }, + { + "epoch": 0.86, + "learning_rate": 5.127292725992155e-07, + "loss": 0.7296, + "step": 29237 + }, + { + "epoch": 0.86, + "learning_rate": 5.125194278634288e-07, + "loss": 0.7074, + "step": 29238 + }, + { + "epoch": 0.86, + "learning_rate": 5.123096237582598e-07, + "loss": 0.8189, + "step": 29239 + }, + { + "epoch": 0.86, + "learning_rate": 5.120998602856059e-07, + "loss": 0.6251, + "step": 29240 + }, + { + "epoch": 0.86, + "learning_rate": 5.11890137447369e-07, + "loss": 0.5339, + "step": 29241 + }, + { + "epoch": 0.86, + "learning_rate": 5.116804552454452e-07, + "loss": 0.6969, + "step": 29242 + }, + { + "epoch": 0.86, + "learning_rate": 5.11470813681736e-07, + "loss": 0.6494, + "step": 29243 + }, + { + "epoch": 0.86, + "learning_rate": 5.112612127581362e-07, + "loss": 0.6324, + "step": 29244 + }, + { + "epoch": 0.86, + "learning_rate": 5.110516524765469e-07, + "loss": 0.6275, + "step": 29245 + }, + { + "epoch": 0.86, + "learning_rate": 5.108421328388625e-07, + "loss": 0.6571, + "step": 29246 + }, + { + "epoch": 0.86, + "learning_rate": 5.106326538469814e-07, + "loss": 0.7286, + "step": 29247 + }, + { + "epoch": 0.86, + "learning_rate": 5.104232155028005e-07, + "loss": 0.8613, + "step": 29248 + }, + { + "epoch": 0.86, + "learning_rate": 5.102138178082172e-07, + "loss": 1.0287, + "step": 29249 + }, + { + "epoch": 0.86, + "learning_rate": 5.100044607651244e-07, + "loss": 0.9875, + "step": 29250 + }, + { + "epoch": 0.86, + "learning_rate": 5.097951443754212e-07, + "loss": 0.7137, + "step": 29251 + }, + { + "epoch": 0.86, + "learning_rate": 5.095858686409993e-07, + "loss": 0.6946, + "step": 29252 + }, + { + "epoch": 0.86, + "learning_rate": 5.093766335637567e-07, + "loss": 0.5185, + "step": 29253 + }, + { + "epoch": 0.86, + "learning_rate": 5.091674391455853e-07, + "loss": 0.7249, + "step": 29254 + }, + { + "epoch": 0.86, + "learning_rate": 5.089582853883812e-07, + "loss": 0.6075, + "step": 29255 + }, + { + "epoch": 0.86, + "learning_rate": 5.087491722940352e-07, + "loss": 0.6, + "step": 29256 + }, + { + "epoch": 0.86, + "learning_rate": 5.085400998644446e-07, + "loss": 0.5764, + "step": 29257 + }, + { + "epoch": 0.86, + "learning_rate": 5.083310681015008e-07, + "loss": 0.9781, + "step": 29258 + }, + { + "epoch": 0.86, + "learning_rate": 5.081220770070944e-07, + "loss": 0.5554, + "step": 29259 + }, + { + "epoch": 0.86, + "learning_rate": 5.079131265831206e-07, + "loss": 0.7427, + "step": 29260 + }, + { + "epoch": 0.86, + "learning_rate": 5.077042168314694e-07, + "loss": 0.6089, + "step": 29261 + }, + { + "epoch": 0.86, + "learning_rate": 5.074953477540335e-07, + "loss": 0.7613, + "step": 29262 + }, + { + "epoch": 0.86, + "learning_rate": 5.072865193527027e-07, + "loss": 0.7661, + "step": 29263 + }, + { + "epoch": 0.86, + "learning_rate": 5.07077731629369e-07, + "loss": 0.5446, + "step": 29264 + }, + { + "epoch": 0.86, + "learning_rate": 5.06868984585922e-07, + "loss": 0.9014, + "step": 29265 + }, + { + "epoch": 0.86, + "learning_rate": 5.066602782242513e-07, + "loss": 0.7993, + "step": 29266 + }, + { + "epoch": 0.86, + "learning_rate": 5.064516125462482e-07, + "loss": 0.5417, + "step": 29267 + }, + { + "epoch": 0.86, + "learning_rate": 5.062429875538017e-07, + "loss": 0.7874, + "step": 29268 + }, + { + "epoch": 0.86, + "learning_rate": 5.060344032487991e-07, + "loss": 0.5998, + "step": 29269 + }, + { + "epoch": 0.86, + "learning_rate": 5.058258596331312e-07, + "loss": 0.6362, + "step": 29270 + }, + { + "epoch": 0.86, + "learning_rate": 5.056173567086841e-07, + "loss": 0.5644, + "step": 29271 + }, + { + "epoch": 0.86, + "learning_rate": 5.054088944773478e-07, + "loss": 0.7778, + "step": 29272 + }, + { + "epoch": 0.86, + "learning_rate": 5.052004729410071e-07, + "loss": 0.628, + "step": 29273 + }, + { + "epoch": 0.86, + "learning_rate": 5.049920921015522e-07, + "loss": 0.6614, + "step": 29274 + }, + { + "epoch": 0.86, + "learning_rate": 5.047837519608667e-07, + "loss": 0.6624, + "step": 29275 + }, + { + "epoch": 0.86, + "learning_rate": 5.045754525208385e-07, + "loss": 0.8314, + "step": 29276 + }, + { + "epoch": 0.86, + "learning_rate": 5.043671937833533e-07, + "loss": 0.9317, + "step": 29277 + }, + { + "epoch": 0.86, + "learning_rate": 5.041589757502979e-07, + "loss": 0.672, + "step": 29278 + }, + { + "epoch": 0.86, + "learning_rate": 5.039507984235559e-07, + "loss": 0.7482, + "step": 29279 + }, + { + "epoch": 0.86, + "learning_rate": 5.03742661805014e-07, + "loss": 0.6785, + "step": 29280 + }, + { + "epoch": 0.86, + "learning_rate": 5.03534565896554e-07, + "loss": 0.6196, + "step": 29281 + }, + { + "epoch": 0.86, + "learning_rate": 5.033265107000635e-07, + "loss": 0.6363, + "step": 29282 + }, + { + "epoch": 0.86, + "learning_rate": 5.031184962174235e-07, + "loss": 0.6077, + "step": 29283 + }, + { + "epoch": 0.86, + "learning_rate": 5.029105224505176e-07, + "loss": 0.5491, + "step": 29284 + }, + { + "epoch": 0.86, + "learning_rate": 5.027025894012306e-07, + "loss": 0.8948, + "step": 29285 + }, + { + "epoch": 0.86, + "learning_rate": 5.024946970714422e-07, + "loss": 0.7491, + "step": 29286 + }, + { + "epoch": 0.86, + "learning_rate": 5.022868454630386e-07, + "loss": 0.8323, + "step": 29287 + }, + { + "epoch": 0.86, + "learning_rate": 5.020790345778986e-07, + "loss": 0.8135, + "step": 29288 + }, + { + "epoch": 0.86, + "learning_rate": 5.018712644179063e-07, + "loss": 0.7042, + "step": 29289 + }, + { + "epoch": 0.86, + "learning_rate": 5.016635349849402e-07, + "loss": 0.8424, + "step": 29290 + }, + { + "epoch": 0.86, + "learning_rate": 5.014558462808839e-07, + "loss": 0.6881, + "step": 29291 + }, + { + "epoch": 0.86, + "learning_rate": 5.012481983076145e-07, + "loss": 0.5143, + "step": 29292 + }, + { + "epoch": 0.86, + "learning_rate": 5.010405910670158e-07, + "loss": 0.5496, + "step": 29293 + }, + { + "epoch": 0.86, + "learning_rate": 5.008330245609644e-07, + "loss": 0.6107, + "step": 29294 + }, + { + "epoch": 0.86, + "learning_rate": 5.006254987913417e-07, + "loss": 0.7105, + "step": 29295 + }, + { + "epoch": 0.86, + "learning_rate": 5.004180137600245e-07, + "loss": 0.6287, + "step": 29296 + }, + { + "epoch": 0.86, + "learning_rate": 5.002105694688947e-07, + "loss": 0.7682, + "step": 29297 + }, + { + "epoch": 0.86, + "learning_rate": 5.000031659198273e-07, + "loss": 0.5944, + "step": 29298 + }, + { + "epoch": 0.86, + "learning_rate": 4.997958031147032e-07, + "loss": 0.6862, + "step": 29299 + }, + { + "epoch": 0.86, + "learning_rate": 4.995884810553969e-07, + "loss": 0.7015, + "step": 29300 + }, + { + "epoch": 0.86, + "learning_rate": 4.99381199743788e-07, + "loss": 0.6841, + "step": 29301 + }, + { + "epoch": 0.86, + "learning_rate": 4.991739591817513e-07, + "loss": 0.6669, + "step": 29302 + }, + { + "epoch": 0.86, + "learning_rate": 4.989667593711645e-07, + "loss": 0.8412, + "step": 29303 + }, + { + "epoch": 0.86, + "learning_rate": 4.987596003139028e-07, + "loss": 0.781, + "step": 29304 + }, + { + "epoch": 0.86, + "learning_rate": 4.985524820118432e-07, + "loss": 0.699, + "step": 29305 + }, + { + "epoch": 0.86, + "learning_rate": 4.98345404466859e-07, + "loss": 0.7577, + "step": 29306 + }, + { + "epoch": 0.86, + "learning_rate": 4.981383676808265e-07, + "loss": 0.7399, + "step": 29307 + }, + { + "epoch": 0.86, + "learning_rate": 4.979313716556206e-07, + "loss": 0.5179, + "step": 29308 + }, + { + "epoch": 0.86, + "learning_rate": 4.977244163931144e-07, + "loss": 0.6509, + "step": 29309 + }, + { + "epoch": 0.86, + "learning_rate": 4.975175018951828e-07, + "loss": 0.7026, + "step": 29310 + }, + { + "epoch": 0.86, + "learning_rate": 4.973106281636975e-07, + "loss": 0.9324, + "step": 29311 + }, + { + "epoch": 0.86, + "learning_rate": 4.971037952005336e-07, + "loss": 0.494, + "step": 29312 + }, + { + "epoch": 0.86, + "learning_rate": 4.968970030075626e-07, + "loss": 0.5688, + "step": 29313 + }, + { + "epoch": 0.86, + "learning_rate": 4.966902515866573e-07, + "loss": 0.6317, + "step": 29314 + }, + { + "epoch": 0.86, + "learning_rate": 4.96483540939689e-07, + "loss": 0.6997, + "step": 29315 + }, + { + "epoch": 0.86, + "learning_rate": 4.962768710685295e-07, + "loss": 0.7857, + "step": 29316 + }, + { + "epoch": 0.86, + "learning_rate": 4.960702419750507e-07, + "loss": 0.7438, + "step": 29317 + }, + { + "epoch": 0.86, + "learning_rate": 4.958636536611244e-07, + "loss": 0.8393, + "step": 29318 + }, + { + "epoch": 0.86, + "learning_rate": 4.95657106128618e-07, + "loss": 0.7983, + "step": 29319 + }, + { + "epoch": 0.86, + "learning_rate": 4.954505993794051e-07, + "loss": 0.438, + "step": 29320 + }, + { + "epoch": 0.86, + "learning_rate": 4.952441334153524e-07, + "loss": 0.8562, + "step": 29321 + }, + { + "epoch": 0.86, + "learning_rate": 4.950377082383323e-07, + "loss": 0.7654, + "step": 29322 + }, + { + "epoch": 0.86, + "learning_rate": 4.948313238502106e-07, + "loss": 0.4946, + "step": 29323 + }, + { + "epoch": 0.86, + "learning_rate": 4.946249802528586e-07, + "loss": 0.9623, + "step": 29324 + }, + { + "epoch": 0.86, + "learning_rate": 4.94418677448143e-07, + "loss": 0.6832, + "step": 29325 + }, + { + "epoch": 0.86, + "learning_rate": 4.942124154379318e-07, + "loss": 0.5701, + "step": 29326 + }, + { + "epoch": 0.86, + "learning_rate": 4.940061942240942e-07, + "loss": 0.7502, + "step": 29327 + }, + { + "epoch": 0.86, + "learning_rate": 4.938000138084947e-07, + "loss": 0.6855, + "step": 29328 + }, + { + "epoch": 0.86, + "learning_rate": 4.93593874193003e-07, + "loss": 0.624, + "step": 29329 + }, + { + "epoch": 0.86, + "learning_rate": 4.93387775379483e-07, + "loss": 0.8872, + "step": 29330 + }, + { + "epoch": 0.86, + "learning_rate": 4.931817173698028e-07, + "loss": 0.6925, + "step": 29331 + }, + { + "epoch": 0.86, + "learning_rate": 4.929757001658264e-07, + "loss": 0.8028, + "step": 29332 + }, + { + "epoch": 0.86, + "learning_rate": 4.927697237694206e-07, + "loss": 0.6813, + "step": 29333 + }, + { + "epoch": 0.86, + "learning_rate": 4.925637881824486e-07, + "loss": 0.5104, + "step": 29334 + }, + { + "epoch": 0.86, + "learning_rate": 4.923578934067763e-07, + "loss": 0.8237, + "step": 29335 + }, + { + "epoch": 0.86, + "learning_rate": 4.921520394442675e-07, + "loss": 0.8567, + "step": 29336 + }, + { + "epoch": 0.86, + "learning_rate": 4.919462262967872e-07, + "loss": 0.7838, + "step": 29337 + }, + { + "epoch": 0.86, + "learning_rate": 4.917404539661968e-07, + "loss": 0.6747, + "step": 29338 + }, + { + "epoch": 0.86, + "learning_rate": 4.915347224543615e-07, + "loss": 0.615, + "step": 29339 + }, + { + "epoch": 0.86, + "learning_rate": 4.91329031763142e-07, + "loss": 0.7353, + "step": 29340 + }, + { + "epoch": 0.86, + "learning_rate": 4.911233818944023e-07, + "loss": 0.9539, + "step": 29341 + }, + { + "epoch": 0.86, + "learning_rate": 4.909177728500031e-07, + "loss": 0.5349, + "step": 29342 + }, + { + "epoch": 0.86, + "learning_rate": 4.907122046318074e-07, + "loss": 0.5746, + "step": 29343 + }, + { + "epoch": 0.86, + "learning_rate": 4.90506677241675e-07, + "loss": 0.3893, + "step": 29344 + }, + { + "epoch": 0.86, + "learning_rate": 4.90301190681468e-07, + "loss": 0.7719, + "step": 29345 + }, + { + "epoch": 0.86, + "learning_rate": 4.90095744953047e-07, + "loss": 0.7216, + "step": 29346 + }, + { + "epoch": 0.86, + "learning_rate": 4.898903400582705e-07, + "loss": 0.7599, + "step": 29347 + }, + { + "epoch": 0.86, + "learning_rate": 4.896849759990003e-07, + "loss": 0.4268, + "step": 29348 + }, + { + "epoch": 0.86, + "learning_rate": 4.89479652777094e-07, + "loss": 0.6711, + "step": 29349 + }, + { + "epoch": 0.86, + "learning_rate": 4.892743703944131e-07, + "loss": 0.7902, + "step": 29350 + }, + { + "epoch": 0.86, + "learning_rate": 4.890691288528132e-07, + "loss": 0.6678, + "step": 29351 + }, + { + "epoch": 0.86, + "learning_rate": 4.888639281541551e-07, + "loss": 0.7125, + "step": 29352 + }, + { + "epoch": 0.86, + "learning_rate": 4.886587683002947e-07, + "loss": 0.8021, + "step": 29353 + }, + { + "epoch": 0.86, + "learning_rate": 4.884536492930914e-07, + "loss": 0.7329, + "step": 29354 + }, + { + "epoch": 0.86, + "learning_rate": 4.882485711344004e-07, + "loss": 0.7615, + "step": 29355 + }, + { + "epoch": 0.86, + "learning_rate": 4.880435338260808e-07, + "loss": 0.7955, + "step": 29356 + }, + { + "epoch": 0.86, + "learning_rate": 4.878385373699873e-07, + "loss": 0.7803, + "step": 29357 + }, + { + "epoch": 0.86, + "learning_rate": 4.876335817679778e-07, + "loss": 0.8476, + "step": 29358 + }, + { + "epoch": 0.86, + "learning_rate": 4.874286670219059e-07, + "loss": 0.6232, + "step": 29359 + }, + { + "epoch": 0.86, + "learning_rate": 4.872237931336288e-07, + "loss": 0.5272, + "step": 29360 + }, + { + "epoch": 0.86, + "learning_rate": 4.870189601049996e-07, + "loss": 0.6347, + "step": 29361 + }, + { + "epoch": 0.86, + "learning_rate": 4.868141679378752e-07, + "loss": 0.7735, + "step": 29362 + }, + { + "epoch": 0.86, + "learning_rate": 4.866094166341067e-07, + "loss": 0.4799, + "step": 29363 + }, + { + "epoch": 0.86, + "learning_rate": 4.864047061955513e-07, + "loss": 0.6503, + "step": 29364 + }, + { + "epoch": 0.86, + "learning_rate": 4.862000366240599e-07, + "loss": 0.4359, + "step": 29365 + }, + { + "epoch": 0.86, + "learning_rate": 4.859954079214868e-07, + "loss": 0.6798, + "step": 29366 + }, + { + "epoch": 0.86, + "learning_rate": 4.857908200896855e-07, + "loss": 0.8079, + "step": 29367 + }, + { + "epoch": 0.86, + "learning_rate": 4.855862731305066e-07, + "loss": 0.7203, + "step": 29368 + }, + { + "epoch": 0.86, + "learning_rate": 4.853817670458044e-07, + "loss": 0.5708, + "step": 29369 + }, + { + "epoch": 0.86, + "learning_rate": 4.851773018374279e-07, + "loss": 0.6172, + "step": 29370 + }, + { + "epoch": 0.86, + "learning_rate": 4.849728775072304e-07, + "loss": 0.6854, + "step": 29371 + }, + { + "epoch": 0.86, + "learning_rate": 4.847684940570613e-07, + "loss": 0.7422, + "step": 29372 + }, + { + "epoch": 0.86, + "learning_rate": 4.845641514887728e-07, + "loss": 0.472, + "step": 29373 + }, + { + "epoch": 0.86, + "learning_rate": 4.843598498042129e-07, + "loss": 0.7986, + "step": 29374 + }, + { + "epoch": 0.86, + "learning_rate": 4.84155589005233e-07, + "loss": 0.4702, + "step": 29375 + }, + { + "epoch": 0.86, + "learning_rate": 4.83951369093682e-07, + "loss": 0.7006, + "step": 29376 + }, + { + "epoch": 0.86, + "learning_rate": 4.837471900714103e-07, + "loss": 0.6402, + "step": 29377 + }, + { + "epoch": 0.86, + "learning_rate": 4.835430519402645e-07, + "loss": 0.704, + "step": 29378 + }, + { + "epoch": 0.86, + "learning_rate": 4.833389547020944e-07, + "loss": 0.6541, + "step": 29379 + }, + { + "epoch": 0.86, + "learning_rate": 4.831348983587463e-07, + "loss": 0.517, + "step": 29380 + }, + { + "epoch": 0.86, + "learning_rate": 4.829308829120699e-07, + "loss": 0.4861, + "step": 29381 + }, + { + "epoch": 0.86, + "learning_rate": 4.827269083639108e-07, + "loss": 0.7208, + "step": 29382 + }, + { + "epoch": 0.86, + "learning_rate": 4.82522974716117e-07, + "loss": 0.8267, + "step": 29383 + }, + { + "epoch": 0.86, + "learning_rate": 4.823190819705331e-07, + "loss": 0.9733, + "step": 29384 + }, + { + "epoch": 0.86, + "learning_rate": 4.821152301290066e-07, + "loss": 0.8024, + "step": 29385 + }, + { + "epoch": 0.86, + "learning_rate": 4.819114191933838e-07, + "loss": 0.589, + "step": 29386 + }, + { + "epoch": 0.86, + "learning_rate": 4.817076491655087e-07, + "loss": 0.679, + "step": 29387 + }, + { + "epoch": 0.86, + "learning_rate": 4.815039200472277e-07, + "loss": 0.8782, + "step": 29388 + }, + { + "epoch": 0.86, + "learning_rate": 4.813002318403831e-07, + "loss": 0.7537, + "step": 29389 + }, + { + "epoch": 0.86, + "learning_rate": 4.810965845468218e-07, + "loss": 0.7731, + "step": 29390 + }, + { + "epoch": 0.86, + "learning_rate": 4.808929781683858e-07, + "loss": 0.8564, + "step": 29391 + }, + { + "epoch": 0.86, + "learning_rate": 4.806894127069201e-07, + "loss": 0.7813, + "step": 29392 + }, + { + "epoch": 0.86, + "learning_rate": 4.80485888164266e-07, + "loss": 0.7725, + "step": 29393 + }, + { + "epoch": 0.86, + "learning_rate": 4.802824045422666e-07, + "loss": 0.706, + "step": 29394 + }, + { + "epoch": 0.86, + "learning_rate": 4.800789618427659e-07, + "loss": 0.6656, + "step": 29395 + }, + { + "epoch": 0.86, + "learning_rate": 4.798755600676053e-07, + "loss": 0.5829, + "step": 29396 + }, + { + "epoch": 0.86, + "learning_rate": 4.796721992186248e-07, + "loss": 0.7099, + "step": 29397 + }, + { + "epoch": 0.86, + "learning_rate": 4.794688792976688e-07, + "loss": 0.7688, + "step": 29398 + }, + { + "epoch": 0.86, + "learning_rate": 4.792656003065748e-07, + "loss": 0.6663, + "step": 29399 + }, + { + "epoch": 0.86, + "learning_rate": 4.790623622471858e-07, + "loss": 0.5303, + "step": 29400 + }, + { + "epoch": 0.86, + "learning_rate": 4.788591651213403e-07, + "loss": 0.6498, + "step": 29401 + }, + { + "epoch": 0.86, + "learning_rate": 4.786560089308795e-07, + "loss": 0.6808, + "step": 29402 + }, + { + "epoch": 0.86, + "learning_rate": 4.784528936776411e-07, + "loss": 0.6068, + "step": 29403 + }, + { + "epoch": 0.86, + "learning_rate": 4.782498193634655e-07, + "loss": 0.8293, + "step": 29404 + }, + { + "epoch": 0.86, + "learning_rate": 4.780467859901922e-07, + "loss": 0.7326, + "step": 29405 + }, + { + "epoch": 0.86, + "learning_rate": 4.778437935596575e-07, + "loss": 0.7237, + "step": 29406 + }, + { + "epoch": 0.86, + "learning_rate": 4.776408420737006e-07, + "loss": 1.0521, + "step": 29407 + }, + { + "epoch": 0.86, + "learning_rate": 4.774379315341582e-07, + "loss": 0.9002, + "step": 29408 + }, + { + "epoch": 0.86, + "learning_rate": 4.772350619428684e-07, + "loss": 0.6704, + "step": 29409 + }, + { + "epoch": 0.86, + "learning_rate": 4.77032233301667e-07, + "loss": 0.7588, + "step": 29410 + }, + { + "epoch": 0.86, + "learning_rate": 4.768294456123923e-07, + "loss": 0.8561, + "step": 29411 + }, + { + "epoch": 0.86, + "learning_rate": 4.766266988768781e-07, + "loss": 0.8935, + "step": 29412 + }, + { + "epoch": 0.86, + "learning_rate": 4.764239930969616e-07, + "loss": 0.6365, + "step": 29413 + }, + { + "epoch": 0.86, + "learning_rate": 4.7622132827447596e-07, + "loss": 0.7381, + "step": 29414 + }, + { + "epoch": 0.86, + "learning_rate": 4.760187044112602e-07, + "loss": 0.7091, + "step": 29415 + }, + { + "epoch": 0.86, + "learning_rate": 4.7581612150914504e-07, + "loss": 0.776, + "step": 29416 + }, + { + "epoch": 0.86, + "learning_rate": 4.756135795699679e-07, + "loss": 0.461, + "step": 29417 + }, + { + "epoch": 0.86, + "learning_rate": 4.754110785955596e-07, + "loss": 0.6599, + "step": 29418 + }, + { + "epoch": 0.86, + "learning_rate": 4.7520861858775637e-07, + "loss": 0.7259, + "step": 29419 + }, + { + "epoch": 0.86, + "learning_rate": 4.7500619954838845e-07, + "loss": 0.6633, + "step": 29420 + }, + { + "epoch": 0.86, + "learning_rate": 4.748038214792916e-07, + "loss": 0.6849, + "step": 29421 + }, + { + "epoch": 0.86, + "learning_rate": 4.7460148438229547e-07, + "loss": 0.7276, + "step": 29422 + }, + { + "epoch": 0.86, + "learning_rate": 4.743991882592347e-07, + "loss": 0.9133, + "step": 29423 + }, + { + "epoch": 0.86, + "learning_rate": 4.7419693311193836e-07, + "loss": 0.7809, + "step": 29424 + }, + { + "epoch": 0.86, + "learning_rate": 4.739947189422389e-07, + "loss": 0.7626, + "step": 29425 + }, + { + "epoch": 0.86, + "learning_rate": 4.737925457519682e-07, + "loss": 0.9966, + "step": 29426 + }, + { + "epoch": 0.86, + "learning_rate": 4.7359041354295475e-07, + "loss": 0.5803, + "step": 29427 + }, + { + "epoch": 0.86, + "learning_rate": 4.733883223170305e-07, + "loss": 0.8188, + "step": 29428 + }, + { + "epoch": 0.86, + "learning_rate": 4.7318627207602385e-07, + "loss": 0.557, + "step": 29429 + }, + { + "epoch": 0.86, + "learning_rate": 4.729842628217657e-07, + "loss": 0.837, + "step": 29430 + }, + { + "epoch": 0.86, + "learning_rate": 4.7278229455608336e-07, + "loss": 0.8429, + "step": 29431 + }, + { + "epoch": 0.86, + "learning_rate": 4.725803672808071e-07, + "loss": 0.6559, + "step": 29432 + }, + { + "epoch": 0.86, + "learning_rate": 4.723784809977633e-07, + "loss": 0.651, + "step": 29433 + }, + { + "epoch": 0.86, + "learning_rate": 4.7217663570878145e-07, + "loss": 0.6629, + "step": 29434 + }, + { + "epoch": 0.86, + "learning_rate": 4.719748314156886e-07, + "loss": 0.7963, + "step": 29435 + }, + { + "epoch": 0.86, + "learning_rate": 4.717730681203125e-07, + "loss": 0.8232, + "step": 29436 + }, + { + "epoch": 0.86, + "learning_rate": 4.7157134582447915e-07, + "loss": 0.7649, + "step": 29437 + }, + { + "epoch": 0.86, + "learning_rate": 4.7136966453001585e-07, + "loss": 0.7811, + "step": 29438 + }, + { + "epoch": 0.86, + "learning_rate": 4.711680242387473e-07, + "loss": 0.6584, + "step": 29439 + }, + { + "epoch": 0.86, + "learning_rate": 4.7096642495250145e-07, + "loss": 0.5916, + "step": 29440 + }, + { + "epoch": 0.86, + "learning_rate": 4.7076486667310075e-07, + "loss": 0.5416, + "step": 29441 + }, + { + "epoch": 0.86, + "learning_rate": 4.705633494023726e-07, + "loss": 0.4865, + "step": 29442 + }, + { + "epoch": 0.87, + "learning_rate": 4.7036187314213944e-07, + "loss": 0.6722, + "step": 29443 + }, + { + "epoch": 0.87, + "learning_rate": 4.7016043789422705e-07, + "loss": 0.8011, + "step": 29444 + }, + { + "epoch": 0.87, + "learning_rate": 4.699590436604595e-07, + "loss": 0.8402, + "step": 29445 + }, + { + "epoch": 0.87, + "learning_rate": 4.697576904426587e-07, + "loss": 0.8867, + "step": 29446 + }, + { + "epoch": 0.87, + "learning_rate": 4.6955637824264934e-07, + "loss": 0.948, + "step": 29447 + }, + { + "epoch": 0.87, + "learning_rate": 4.6935510706225316e-07, + "loss": 0.4874, + "step": 29448 + }, + { + "epoch": 0.87, + "learning_rate": 4.6915387690329327e-07, + "loss": 0.5735, + "step": 29449 + }, + { + "epoch": 0.87, + "learning_rate": 4.689526877675904e-07, + "loss": 0.6761, + "step": 29450 + }, + { + "epoch": 0.87, + "learning_rate": 4.687515396569675e-07, + "loss": 0.6651, + "step": 29451 + }, + { + "epoch": 0.87, + "learning_rate": 4.685504325732448e-07, + "loss": 0.862, + "step": 29452 + }, + { + "epoch": 0.87, + "learning_rate": 4.6834936651824314e-07, + "loss": 0.5335, + "step": 29453 + }, + { + "epoch": 0.87, + "learning_rate": 4.681483414937837e-07, + "loss": 0.7374, + "step": 29454 + }, + { + "epoch": 0.87, + "learning_rate": 4.679473575016874e-07, + "loss": 0.719, + "step": 29455 + }, + { + "epoch": 0.87, + "learning_rate": 4.6774641454377213e-07, + "loss": 0.8467, + "step": 29456 + }, + { + "epoch": 0.87, + "learning_rate": 4.675455126218592e-07, + "loss": 0.6254, + "step": 29457 + }, + { + "epoch": 0.87, + "learning_rate": 4.67344651737765e-07, + "loss": 0.693, + "step": 29458 + }, + { + "epoch": 0.87, + "learning_rate": 4.6714383189331135e-07, + "loss": 0.7069, + "step": 29459 + }, + { + "epoch": 0.87, + "learning_rate": 4.669430530903135e-07, + "loss": 0.7332, + "step": 29460 + }, + { + "epoch": 0.87, + "learning_rate": 4.6674231533059165e-07, + "loss": 0.7529, + "step": 29461 + }, + { + "epoch": 0.87, + "learning_rate": 4.665416186159616e-07, + "loss": 0.845, + "step": 29462 + }, + { + "epoch": 0.87, + "learning_rate": 4.663409629482413e-07, + "loss": 0.9057, + "step": 29463 + }, + { + "epoch": 0.87, + "learning_rate": 4.661403483292482e-07, + "loss": 0.8982, + "step": 29464 + }, + { + "epoch": 0.87, + "learning_rate": 4.6593977476079745e-07, + "loss": 0.8651, + "step": 29465 + }, + { + "epoch": 0.87, + "learning_rate": 4.657392422447066e-07, + "loss": 0.7709, + "step": 29466 + }, + { + "epoch": 0.87, + "learning_rate": 4.655387507827891e-07, + "loss": 0.6469, + "step": 29467 + }, + { + "epoch": 0.87, + "learning_rate": 4.65338300376863e-07, + "loss": 0.8714, + "step": 29468 + }, + { + "epoch": 0.87, + "learning_rate": 4.6513789102874017e-07, + "loss": 0.7202, + "step": 29469 + }, + { + "epoch": 0.87, + "learning_rate": 4.6493752274023807e-07, + "loss": 0.6947, + "step": 29470 + }, + { + "epoch": 0.87, + "learning_rate": 4.647371955131685e-07, + "loss": 0.9381, + "step": 29471 + }, + { + "epoch": 0.87, + "learning_rate": 4.6453690934934737e-07, + "loss": 1.06, + "step": 29472 + }, + { + "epoch": 0.87, + "learning_rate": 4.6433666425058534e-07, + "loss": 0.7663, + "step": 29473 + }, + { + "epoch": 0.87, + "learning_rate": 4.641364602186987e-07, + "loss": 1.0204, + "step": 29474 + }, + { + "epoch": 0.87, + "learning_rate": 4.639362972554978e-07, + "loss": 0.3507, + "step": 29475 + }, + { + "epoch": 0.87, + "learning_rate": 4.637361753627967e-07, + "loss": 0.4961, + "step": 29476 + }, + { + "epoch": 0.87, + "learning_rate": 4.6353609454240554e-07, + "loss": 0.9529, + "step": 29477 + }, + { + "epoch": 0.87, + "learning_rate": 4.6333605479613796e-07, + "loss": 0.5545, + "step": 29478 + }, + { + "epoch": 0.87, + "learning_rate": 4.63136056125803e-07, + "loss": 0.6852, + "step": 29479 + }, + { + "epoch": 0.87, + "learning_rate": 4.629360985332132e-07, + "loss": 0.767, + "step": 29480 + }, + { + "epoch": 0.87, + "learning_rate": 4.6273618202017754e-07, + "loss": 0.5563, + "step": 29481 + }, + { + "epoch": 0.87, + "learning_rate": 4.6253630658850743e-07, + "loss": 0.9394, + "step": 29482 + }, + { + "epoch": 0.87, + "learning_rate": 4.6233647224001145e-07, + "loss": 0.9689, + "step": 29483 + }, + { + "epoch": 0.87, + "learning_rate": 4.621366789764992e-07, + "loss": 0.8835, + "step": 29484 + }, + { + "epoch": 0.87, + "learning_rate": 4.619369267997814e-07, + "loss": 0.895, + "step": 29485 + }, + { + "epoch": 0.87, + "learning_rate": 4.6173721571166397e-07, + "loss": 0.8191, + "step": 29486 + }, + { + "epoch": 0.87, + "learning_rate": 4.615375457139576e-07, + "loss": 0.6025, + "step": 29487 + }, + { + "epoch": 0.87, + "learning_rate": 4.613379168084675e-07, + "loss": 0.6175, + "step": 29488 + }, + { + "epoch": 0.87, + "learning_rate": 4.611383289970039e-07, + "loss": 0.7765, + "step": 29489 + }, + { + "epoch": 0.87, + "learning_rate": 4.6093878228137156e-07, + "loss": 0.4741, + "step": 29490 + }, + { + "epoch": 0.87, + "learning_rate": 4.607392766633789e-07, + "loss": 0.8138, + "step": 29491 + }, + { + "epoch": 0.87, + "learning_rate": 4.605398121448312e-07, + "loss": 0.8571, + "step": 29492 + }, + { + "epoch": 0.87, + "learning_rate": 4.6034038872753485e-07, + "loss": 0.4627, + "step": 29493 + }, + { + "epoch": 0.87, + "learning_rate": 4.6014100641329494e-07, + "loss": 0.643, + "step": 29494 + }, + { + "epoch": 0.87, + "learning_rate": 4.5994166520391903e-07, + "loss": 0.649, + "step": 29495 + }, + { + "epoch": 0.87, + "learning_rate": 4.5974236510120896e-07, + "loss": 0.7067, + "step": 29496 + }, + { + "epoch": 0.87, + "learning_rate": 4.595431061069716e-07, + "loss": 0.715, + "step": 29497 + }, + { + "epoch": 0.87, + "learning_rate": 4.593438882230089e-07, + "loss": 0.7196, + "step": 29498 + }, + { + "epoch": 0.87, + "learning_rate": 4.591447114511266e-07, + "loss": 0.5692, + "step": 29499 + }, + { + "epoch": 0.87, + "learning_rate": 4.589455757931266e-07, + "loss": 0.5359, + "step": 29500 + }, + { + "epoch": 0.87, + "learning_rate": 4.58746481250813e-07, + "loss": 0.7312, + "step": 29501 + }, + { + "epoch": 0.87, + "learning_rate": 4.585474278259877e-07, + "loss": 0.6282, + "step": 29502 + }, + { + "epoch": 0.87, + "learning_rate": 4.583484155204532e-07, + "loss": 0.6895, + "step": 29503 + }, + { + "epoch": 0.87, + "learning_rate": 4.5814944433601183e-07, + "loss": 0.8017, + "step": 29504 + }, + { + "epoch": 0.87, + "learning_rate": 4.5795051427446446e-07, + "loss": 0.7847, + "step": 29505 + }, + { + "epoch": 0.87, + "learning_rate": 4.57751625337613e-07, + "loss": 0.8608, + "step": 29506 + }, + { + "epoch": 0.87, + "learning_rate": 4.57552777527257e-07, + "loss": 0.5083, + "step": 29507 + }, + { + "epoch": 0.87, + "learning_rate": 4.573539708451985e-07, + "loss": 0.707, + "step": 29508 + }, + { + "epoch": 0.87, + "learning_rate": 4.57155205293236e-07, + "loss": 0.8199, + "step": 29509 + }, + { + "epoch": 0.87, + "learning_rate": 4.5695648087317077e-07, + "loss": 0.6708, + "step": 29510 + }, + { + "epoch": 0.87, + "learning_rate": 4.5675779758680036e-07, + "loss": 0.6754, + "step": 29511 + }, + { + "epoch": 0.87, + "learning_rate": 4.56559155435925e-07, + "loss": 0.5984, + "step": 29512 + }, + { + "epoch": 0.87, + "learning_rate": 4.563605544223415e-07, + "loss": 0.6541, + "step": 29513 + }, + { + "epoch": 0.87, + "learning_rate": 4.561619945478507e-07, + "loss": 0.7255, + "step": 29514 + }, + { + "epoch": 0.87, + "learning_rate": 4.559634758142484e-07, + "loss": 0.6289, + "step": 29515 + }, + { + "epoch": 0.87, + "learning_rate": 4.5576499822333307e-07, + "loss": 0.8435, + "step": 29516 + }, + { + "epoch": 0.87, + "learning_rate": 4.555665617769006e-07, + "loss": 0.7205, + "step": 29517 + }, + { + "epoch": 0.87, + "learning_rate": 4.5536816647674953e-07, + "loss": 0.9577, + "step": 29518 + }, + { + "epoch": 0.87, + "learning_rate": 4.551698123246745e-07, + "loss": 0.6089, + "step": 29519 + }, + { + "epoch": 0.87, + "learning_rate": 4.549714993224724e-07, + "loss": 0.7833, + "step": 29520 + }, + { + "epoch": 0.87, + "learning_rate": 4.547732274719374e-07, + "loss": 0.7115, + "step": 29521 + }, + { + "epoch": 0.87, + "learning_rate": 4.5457499677486584e-07, + "loss": 0.654, + "step": 29522 + }, + { + "epoch": 0.87, + "learning_rate": 4.543768072330534e-07, + "loss": 0.7309, + "step": 29523 + }, + { + "epoch": 0.87, + "learning_rate": 4.541786588482922e-07, + "loss": 0.4937, + "step": 29524 + }, + { + "epoch": 0.87, + "learning_rate": 4.539805516223794e-07, + "loss": 1.011, + "step": 29525 + }, + { + "epoch": 0.87, + "learning_rate": 4.5378248555710547e-07, + "loss": 0.8141, + "step": 29526 + }, + { + "epoch": 0.87, + "learning_rate": 4.535844606542661e-07, + "loss": 0.549, + "step": 29527 + }, + { + "epoch": 0.87, + "learning_rate": 4.533864769156526e-07, + "loss": 0.6356, + "step": 29528 + }, + { + "epoch": 0.87, + "learning_rate": 4.531885343430592e-07, + "loss": 0.6998, + "step": 29529 + }, + { + "epoch": 0.87, + "learning_rate": 4.529906329382766e-07, + "loss": 0.6815, + "step": 29530 + }, + { + "epoch": 0.87, + "learning_rate": 4.5279277270309787e-07, + "loss": 0.7612, + "step": 29531 + }, + { + "epoch": 0.87, + "learning_rate": 4.5259495363931207e-07, + "loss": 0.6722, + "step": 29532 + }, + { + "epoch": 0.87, + "learning_rate": 4.523971757487139e-07, + "loss": 0.7349, + "step": 29533 + }, + { + "epoch": 0.87, + "learning_rate": 4.5219943903309195e-07, + "loss": 0.7798, + "step": 29534 + }, + { + "epoch": 0.87, + "learning_rate": 4.520017434942375e-07, + "loss": 0.671, + "step": 29535 + }, + { + "epoch": 0.87, + "learning_rate": 4.518040891339387e-07, + "loss": 0.744, + "step": 29536 + }, + { + "epoch": 0.87, + "learning_rate": 4.516064759539879e-07, + "loss": 0.7237, + "step": 29537 + }, + { + "epoch": 0.87, + "learning_rate": 4.5140890395617143e-07, + "loss": 0.7201, + "step": 29538 + }, + { + "epoch": 0.87, + "learning_rate": 4.512113731422807e-07, + "loss": 0.6841, + "step": 29539 + }, + { + "epoch": 0.87, + "learning_rate": 4.510138835141026e-07, + "loss": 0.4873, + "step": 29540 + }, + { + "epoch": 0.87, + "learning_rate": 4.508164350734262e-07, + "loss": 0.5224, + "step": 29541 + }, + { + "epoch": 0.87, + "learning_rate": 4.506190278220374e-07, + "loss": 0.5597, + "step": 29542 + }, + { + "epoch": 0.87, + "learning_rate": 4.5042166176172574e-07, + "loss": 0.7815, + "step": 29543 + }, + { + "epoch": 0.87, + "learning_rate": 4.502243368942777e-07, + "loss": 0.8189, + "step": 29544 + }, + { + "epoch": 0.87, + "learning_rate": 4.50027053221479e-07, + "loss": 0.7435, + "step": 29545 + }, + { + "epoch": 0.87, + "learning_rate": 4.498298107451171e-07, + "loss": 0.5715, + "step": 29546 + }, + { + "epoch": 0.87, + "learning_rate": 4.4963260946697675e-07, + "loss": 0.7605, + "step": 29547 + }, + { + "epoch": 0.87, + "learning_rate": 4.4943544938884476e-07, + "loss": 0.8597, + "step": 29548 + }, + { + "epoch": 0.87, + "learning_rate": 4.492383305125042e-07, + "loss": 0.6579, + "step": 29549 + }, + { + "epoch": 0.87, + "learning_rate": 4.490412528397425e-07, + "loss": 0.93, + "step": 29550 + }, + { + "epoch": 0.87, + "learning_rate": 4.4884421637234164e-07, + "loss": 0.6734, + "step": 29551 + }, + { + "epoch": 0.87, + "learning_rate": 4.4864722111208624e-07, + "loss": 0.6185, + "step": 29552 + }, + { + "epoch": 0.87, + "learning_rate": 4.4845026706076046e-07, + "loss": 0.4794, + "step": 29553 + }, + { + "epoch": 0.87, + "learning_rate": 4.4825335422014836e-07, + "loss": 0.5017, + "step": 29554 + }, + { + "epoch": 0.87, + "learning_rate": 4.480564825920314e-07, + "loss": 1.0156, + "step": 29555 + }, + { + "epoch": 0.87, + "learning_rate": 4.4785965217819307e-07, + "loss": 0.5458, + "step": 29556 + }, + { + "epoch": 0.87, + "learning_rate": 4.4766286298041415e-07, + "loss": 0.4776, + "step": 29557 + }, + { + "epoch": 0.87, + "learning_rate": 4.474661150004783e-07, + "loss": 0.578, + "step": 29558 + }, + { + "epoch": 0.87, + "learning_rate": 4.4726940824016516e-07, + "loss": 0.6179, + "step": 29559 + }, + { + "epoch": 0.87, + "learning_rate": 4.4707274270125724e-07, + "loss": 0.7585, + "step": 29560 + }, + { + "epoch": 0.87, + "learning_rate": 4.468761183855336e-07, + "loss": 0.6947, + "step": 29561 + }, + { + "epoch": 0.87, + "learning_rate": 4.46679535294775e-07, + "loss": 0.6593, + "step": 29562 + }, + { + "epoch": 0.87, + "learning_rate": 4.464829934307635e-07, + "loss": 0.6656, + "step": 29563 + }, + { + "epoch": 0.87, + "learning_rate": 4.4628649279527536e-07, + "loss": 0.639, + "step": 29564 + }, + { + "epoch": 0.87, + "learning_rate": 4.460900333900919e-07, + "loss": 0.6015, + "step": 29565 + }, + { + "epoch": 0.87, + "learning_rate": 4.458936152169907e-07, + "loss": 0.8325, + "step": 29566 + }, + { + "epoch": 0.87, + "learning_rate": 4.456972382777519e-07, + "loss": 0.8964, + "step": 29567 + }, + { + "epoch": 0.87, + "learning_rate": 4.4550090257415133e-07, + "loss": 0.7302, + "step": 29568 + }, + { + "epoch": 0.87, + "learning_rate": 4.4530460810796815e-07, + "loss": 0.876, + "step": 29569 + }, + { + "epoch": 0.87, + "learning_rate": 4.451083548809787e-07, + "loss": 0.7446, + "step": 29570 + }, + { + "epoch": 0.87, + "learning_rate": 4.44912142894961e-07, + "loss": 0.6342, + "step": 29571 + }, + { + "epoch": 0.87, + "learning_rate": 4.447159721516897e-07, + "loss": 0.6845, + "step": 29572 + }, + { + "epoch": 0.87, + "learning_rate": 4.4451984265294347e-07, + "loss": 1.001, + "step": 29573 + }, + { + "epoch": 0.87, + "learning_rate": 4.4432375440049635e-07, + "loss": 0.7034, + "step": 29574 + }, + { + "epoch": 0.87, + "learning_rate": 4.441277073961253e-07, + "loss": 0.9435, + "step": 29575 + }, + { + "epoch": 0.87, + "learning_rate": 4.439317016416028e-07, + "loss": 0.7863, + "step": 29576 + }, + { + "epoch": 0.87, + "learning_rate": 4.4373573713870686e-07, + "loss": 0.7745, + "step": 29577 + }, + { + "epoch": 0.87, + "learning_rate": 4.4353981388920886e-07, + "loss": 0.8098, + "step": 29578 + }, + { + "epoch": 0.87, + "learning_rate": 4.4334393189488456e-07, + "loss": 0.642, + "step": 29579 + }, + { + "epoch": 0.87, + "learning_rate": 4.431480911575059e-07, + "loss": 0.8382, + "step": 29580 + }, + { + "epoch": 0.87, + "learning_rate": 4.4295229167884813e-07, + "loss": 0.6856, + "step": 29581 + }, + { + "epoch": 0.87, + "learning_rate": 4.4275653346068147e-07, + "loss": 0.7943, + "step": 29582 + }, + { + "epoch": 0.87, + "learning_rate": 4.4256081650478125e-07, + "loss": 0.7967, + "step": 29583 + }, + { + "epoch": 0.87, + "learning_rate": 4.423651408129181e-07, + "loss": 0.8804, + "step": 29584 + }, + { + "epoch": 0.87, + "learning_rate": 4.421695063868631e-07, + "loss": 0.8701, + "step": 29585 + }, + { + "epoch": 0.87, + "learning_rate": 4.4197391322838903e-07, + "loss": 0.7745, + "step": 29586 + }, + { + "epoch": 0.87, + "learning_rate": 4.417783613392651e-07, + "loss": 0.7016, + "step": 29587 + }, + { + "epoch": 0.87, + "learning_rate": 4.415828507212633e-07, + "loss": 0.7001, + "step": 29588 + }, + { + "epoch": 0.87, + "learning_rate": 4.4138738137615324e-07, + "loss": 0.5843, + "step": 29589 + }, + { + "epoch": 0.87, + "learning_rate": 4.411919533057052e-07, + "loss": 0.6598, + "step": 29590 + }, + { + "epoch": 0.87, + "learning_rate": 4.409965665116861e-07, + "loss": 0.5806, + "step": 29591 + }, + { + "epoch": 0.87, + "learning_rate": 4.408012209958695e-07, + "loss": 0.8628, + "step": 29592 + }, + { + "epoch": 0.87, + "learning_rate": 4.4060591676002073e-07, + "loss": 0.6771, + "step": 29593 + }, + { + "epoch": 0.87, + "learning_rate": 4.4041065380590997e-07, + "loss": 0.804, + "step": 29594 + }, + { + "epoch": 0.87, + "learning_rate": 4.402154321353036e-07, + "loss": 0.52, + "step": 29595 + }, + { + "epoch": 0.87, + "learning_rate": 4.4002025174997076e-07, + "loss": 0.8084, + "step": 29596 + }, + { + "epoch": 0.87, + "learning_rate": 4.398251126516767e-07, + "loss": 0.6824, + "step": 29597 + }, + { + "epoch": 0.87, + "learning_rate": 4.396300148421906e-07, + "loss": 0.8239, + "step": 29598 + }, + { + "epoch": 0.87, + "learning_rate": 4.3943495832327653e-07, + "loss": 0.8732, + "step": 29599 + }, + { + "epoch": 0.87, + "learning_rate": 4.3923994309670317e-07, + "loss": 0.4803, + "step": 29600 + }, + { + "epoch": 0.87, + "learning_rate": 4.3904496916423235e-07, + "loss": 0.9458, + "step": 29601 + }, + { + "epoch": 0.87, + "learning_rate": 4.3885003652763436e-07, + "loss": 0.7265, + "step": 29602 + }, + { + "epoch": 0.87, + "learning_rate": 4.3865514518867003e-07, + "loss": 0.4535, + "step": 29603 + }, + { + "epoch": 0.87, + "learning_rate": 4.3846029514910737e-07, + "loss": 0.8318, + "step": 29604 + }, + { + "epoch": 0.87, + "learning_rate": 4.382654864107072e-07, + "loss": 0.8803, + "step": 29605 + }, + { + "epoch": 0.87, + "learning_rate": 4.380707189752359e-07, + "loss": 0.5823, + "step": 29606 + }, + { + "epoch": 0.87, + "learning_rate": 4.3787599284445534e-07, + "loss": 0.7796, + "step": 29607 + }, + { + "epoch": 0.87, + "learning_rate": 4.3768130802013034e-07, + "loss": 0.7583, + "step": 29608 + }, + { + "epoch": 0.87, + "learning_rate": 4.3748666450402156e-07, + "loss": 0.7883, + "step": 29609 + }, + { + "epoch": 0.87, + "learning_rate": 4.372920622978932e-07, + "loss": 1.0248, + "step": 29610 + }, + { + "epoch": 0.87, + "learning_rate": 4.370975014035056e-07, + "loss": 0.7486, + "step": 29611 + }, + { + "epoch": 0.87, + "learning_rate": 4.3690298182262057e-07, + "loss": 0.7947, + "step": 29612 + }, + { + "epoch": 0.87, + "learning_rate": 4.367085035570012e-07, + "loss": 0.7197, + "step": 29613 + }, + { + "epoch": 0.87, + "learning_rate": 4.365140666084061e-07, + "loss": 0.7508, + "step": 29614 + }, + { + "epoch": 0.87, + "learning_rate": 4.3631967097859776e-07, + "loss": 0.726, + "step": 29615 + }, + { + "epoch": 0.87, + "learning_rate": 4.361253166693341e-07, + "loss": 0.582, + "step": 29616 + }, + { + "epoch": 0.87, + "learning_rate": 4.3593100368237715e-07, + "loss": 0.757, + "step": 29617 + }, + { + "epoch": 0.87, + "learning_rate": 4.3573673201948384e-07, + "loss": 0.7585, + "step": 29618 + }, + { + "epoch": 0.87, + "learning_rate": 4.3554250168241497e-07, + "loss": 0.587, + "step": 29619 + }, + { + "epoch": 0.87, + "learning_rate": 4.35348312672928e-07, + "loss": 0.6148, + "step": 29620 + }, + { + "epoch": 0.87, + "learning_rate": 4.3515416499278206e-07, + "loss": 0.7397, + "step": 29621 + }, + { + "epoch": 0.87, + "learning_rate": 4.3496005864373416e-07, + "loss": 0.6902, + "step": 29622 + }, + { + "epoch": 0.87, + "learning_rate": 4.3476599362754336e-07, + "loss": 0.7585, + "step": 29623 + }, + { + "epoch": 0.87, + "learning_rate": 4.345719699459644e-07, + "loss": 0.712, + "step": 29624 + }, + { + "epoch": 0.87, + "learning_rate": 4.3437798760075643e-07, + "loss": 0.7449, + "step": 29625 + }, + { + "epoch": 0.87, + "learning_rate": 4.3418404659367417e-07, + "loss": 0.6529, + "step": 29626 + }, + { + "epoch": 0.87, + "learning_rate": 4.3399014692647456e-07, + "loss": 0.862, + "step": 29627 + }, + { + "epoch": 0.87, + "learning_rate": 4.337962886009117e-07, + "loss": 0.7113, + "step": 29628 + }, + { + "epoch": 0.87, + "learning_rate": 4.3360247161874315e-07, + "loss": 0.6745, + "step": 29629 + }, + { + "epoch": 0.87, + "learning_rate": 4.334086959817213e-07, + "loss": 1.0426, + "step": 29630 + }, + { + "epoch": 0.87, + "learning_rate": 4.3321496169160203e-07, + "loss": 0.5891, + "step": 29631 + }, + { + "epoch": 0.87, + "learning_rate": 4.3302126875014004e-07, + "loss": 0.5241, + "step": 29632 + }, + { + "epoch": 0.87, + "learning_rate": 4.3282761715908727e-07, + "loss": 0.9559, + "step": 29633 + }, + { + "epoch": 0.87, + "learning_rate": 4.3263400692019897e-07, + "loss": 0.6244, + "step": 29634 + }, + { + "epoch": 0.87, + "learning_rate": 4.324404380352265e-07, + "loss": 1.005, + "step": 29635 + }, + { + "epoch": 0.87, + "learning_rate": 4.3224691050592403e-07, + "loss": 0.6263, + "step": 29636 + }, + { + "epoch": 0.87, + "learning_rate": 4.3205342433404183e-07, + "loss": 0.7977, + "step": 29637 + }, + { + "epoch": 0.87, + "learning_rate": 4.318599795213346e-07, + "loss": 0.7302, + "step": 29638 + }, + { + "epoch": 0.87, + "learning_rate": 4.316665760695504e-07, + "loss": 0.8865, + "step": 29639 + }, + { + "epoch": 0.87, + "learning_rate": 4.314732139804434e-07, + "loss": 0.4871, + "step": 29640 + }, + { + "epoch": 0.87, + "learning_rate": 4.3127989325576156e-07, + "loss": 0.8256, + "step": 29641 + }, + { + "epoch": 0.87, + "learning_rate": 4.3108661389725806e-07, + "loss": 0.9336, + "step": 29642 + }, + { + "epoch": 0.87, + "learning_rate": 4.3089337590668077e-07, + "loss": 0.7264, + "step": 29643 + }, + { + "epoch": 0.87, + "learning_rate": 4.307001792857812e-07, + "loss": 0.4459, + "step": 29644 + }, + { + "epoch": 0.87, + "learning_rate": 4.305070240363063e-07, + "loss": 0.5922, + "step": 29645 + }, + { + "epoch": 0.87, + "learning_rate": 4.303139101600073e-07, + "loss": 0.7042, + "step": 29646 + }, + { + "epoch": 0.87, + "learning_rate": 4.301208376586302e-07, + "loss": 0.7375, + "step": 29647 + }, + { + "epoch": 0.87, + "learning_rate": 4.2992780653392576e-07, + "loss": 0.8736, + "step": 29648 + }, + { + "epoch": 0.87, + "learning_rate": 4.297348167876397e-07, + "loss": 0.4534, + "step": 29649 + }, + { + "epoch": 0.87, + "learning_rate": 4.2954186842151967e-07, + "loss": 0.7014, + "step": 29650 + }, + { + "epoch": 0.87, + "learning_rate": 4.2934896143731417e-07, + "loss": 0.6002, + "step": 29651 + }, + { + "epoch": 0.87, + "learning_rate": 4.29156095836768e-07, + "loss": 0.7479, + "step": 29652 + }, + { + "epoch": 0.87, + "learning_rate": 4.2896327162162854e-07, + "loss": 0.9394, + "step": 29653 + }, + { + "epoch": 0.87, + "learning_rate": 4.2877048879364114e-07, + "loss": 0.5096, + "step": 29654 + }, + { + "epoch": 0.87, + "learning_rate": 4.285777473545516e-07, + "loss": 0.6701, + "step": 29655 + }, + { + "epoch": 0.87, + "learning_rate": 4.2838504730610465e-07, + "loss": 0.8505, + "step": 29656 + }, + { + "epoch": 0.87, + "learning_rate": 4.2819238865004554e-07, + "loss": 0.5049, + "step": 29657 + }, + { + "epoch": 0.87, + "learning_rate": 4.279997713881179e-07, + "loss": 0.6057, + "step": 29658 + }, + { + "epoch": 0.87, + "learning_rate": 4.2780719552206696e-07, + "loss": 0.6022, + "step": 29659 + }, + { + "epoch": 0.87, + "learning_rate": 4.2761466105363357e-07, + "loss": 0.6775, + "step": 29660 + }, + { + "epoch": 0.87, + "learning_rate": 4.274221679845653e-07, + "loss": 0.5421, + "step": 29661 + }, + { + "epoch": 0.87, + "learning_rate": 4.272297163166017e-07, + "loss": 0.4368, + "step": 29662 + }, + { + "epoch": 0.87, + "learning_rate": 4.2703730605148707e-07, + "loss": 0.6222, + "step": 29663 + }, + { + "epoch": 0.87, + "learning_rate": 4.2684493719096166e-07, + "loss": 0.7134, + "step": 29664 + }, + { + "epoch": 0.87, + "learning_rate": 4.266526097367696e-07, + "loss": 0.6153, + "step": 29665 + }, + { + "epoch": 0.87, + "learning_rate": 4.2646032369064947e-07, + "loss": 0.8243, + "step": 29666 + }, + { + "epoch": 0.87, + "learning_rate": 4.26268079054345e-07, + "loss": 0.6762, + "step": 29667 + }, + { + "epoch": 0.87, + "learning_rate": 4.260758758295952e-07, + "loss": 0.6453, + "step": 29668 + }, + { + "epoch": 0.87, + "learning_rate": 4.25883714018141e-07, + "loss": 0.5597, + "step": 29669 + }, + { + "epoch": 0.87, + "learning_rate": 4.2569159362172097e-07, + "loss": 0.8038, + "step": 29670 + }, + { + "epoch": 0.87, + "learning_rate": 4.2549951464207594e-07, + "loss": 0.5902, + "step": 29671 + }, + { + "epoch": 0.87, + "learning_rate": 4.2530747708094564e-07, + "loss": 0.6782, + "step": 29672 + }, + { + "epoch": 0.87, + "learning_rate": 4.251154809400671e-07, + "loss": 0.8581, + "step": 29673 + }, + { + "epoch": 0.87, + "learning_rate": 4.2492352622117984e-07, + "loss": 0.6072, + "step": 29674 + }, + { + "epoch": 0.87, + "learning_rate": 4.2473161292602093e-07, + "loss": 0.7434, + "step": 29675 + }, + { + "epoch": 0.87, + "learning_rate": 4.2453974105632957e-07, + "loss": 0.663, + "step": 29676 + }, + { + "epoch": 0.87, + "learning_rate": 4.243479106138415e-07, + "loss": 0.7128, + "step": 29677 + }, + { + "epoch": 0.87, + "learning_rate": 4.241561216002943e-07, + "loss": 0.7538, + "step": 29678 + }, + { + "epoch": 0.87, + "learning_rate": 4.2396437401742376e-07, + "loss": 0.9025, + "step": 29679 + }, + { + "epoch": 0.87, + "learning_rate": 4.2377266786696626e-07, + "loss": 0.8445, + "step": 29680 + }, + { + "epoch": 0.87, + "learning_rate": 4.235810031506582e-07, + "loss": 0.6739, + "step": 29681 + }, + { + "epoch": 0.87, + "learning_rate": 4.233893798702349e-07, + "loss": 0.905, + "step": 29682 + }, + { + "epoch": 0.87, + "learning_rate": 4.2319779802743046e-07, + "loss": 0.9186, + "step": 29683 + }, + { + "epoch": 0.87, + "learning_rate": 4.230062576239813e-07, + "loss": 0.9359, + "step": 29684 + }, + { + "epoch": 0.87, + "learning_rate": 4.228147586616188e-07, + "loss": 0.6716, + "step": 29685 + }, + { + "epoch": 0.87, + "learning_rate": 4.2262330114207995e-07, + "loss": 0.6503, + "step": 29686 + }, + { + "epoch": 0.87, + "learning_rate": 4.2243188506709556e-07, + "loss": 0.8335, + "step": 29687 + }, + { + "epoch": 0.87, + "learning_rate": 4.2224051043840085e-07, + "loss": 0.5416, + "step": 29688 + }, + { + "epoch": 0.87, + "learning_rate": 4.2204917725772733e-07, + "loss": 0.8516, + "step": 29689 + }, + { + "epoch": 0.87, + "learning_rate": 4.2185788552680685e-07, + "loss": 0.8385, + "step": 29690 + }, + { + "epoch": 0.87, + "learning_rate": 4.216666352473736e-07, + "loss": 0.6674, + "step": 29691 + }, + { + "epoch": 0.87, + "learning_rate": 4.2147542642115735e-07, + "loss": 0.6507, + "step": 29692 + }, + { + "epoch": 0.87, + "learning_rate": 4.2128425904989e-07, + "loss": 1.1822, + "step": 29693 + }, + { + "epoch": 0.87, + "learning_rate": 4.2109313313530187e-07, + "loss": 0.6191, + "step": 29694 + }, + { + "epoch": 0.87, + "learning_rate": 4.209020486791249e-07, + "loss": 0.7728, + "step": 29695 + }, + { + "epoch": 0.87, + "learning_rate": 4.207110056830871e-07, + "loss": 0.7314, + "step": 29696 + }, + { + "epoch": 0.87, + "learning_rate": 4.205200041489199e-07, + "loss": 0.8225, + "step": 29697 + }, + { + "epoch": 0.87, + "learning_rate": 4.2032904407835143e-07, + "loss": 0.6456, + "step": 29698 + }, + { + "epoch": 0.87, + "learning_rate": 4.201381254731124e-07, + "loss": 0.7602, + "step": 29699 + }, + { + "epoch": 0.87, + "learning_rate": 4.199472483349282e-07, + "loss": 0.6437, + "step": 29700 + }, + { + "epoch": 0.87, + "learning_rate": 4.1975641266553126e-07, + "loss": 0.6331, + "step": 29701 + }, + { + "epoch": 0.87, + "learning_rate": 4.1956561846664636e-07, + "loss": 0.845, + "step": 29702 + }, + { + "epoch": 0.87, + "learning_rate": 4.193748657400032e-07, + "loss": 0.9882, + "step": 29703 + }, + { + "epoch": 0.87, + "learning_rate": 4.1918415448732654e-07, + "loss": 0.5611, + "step": 29704 + }, + { + "epoch": 0.87, + "learning_rate": 4.189934847103455e-07, + "loss": 0.8242, + "step": 29705 + }, + { + "epoch": 0.87, + "learning_rate": 4.1880285641078435e-07, + "loss": 0.7336, + "step": 29706 + }, + { + "epoch": 0.87, + "learning_rate": 4.186122695903705e-07, + "loss": 0.5815, + "step": 29707 + }, + { + "epoch": 0.87, + "learning_rate": 4.184217242508287e-07, + "loss": 0.9187, + "step": 29708 + }, + { + "epoch": 0.87, + "learning_rate": 4.1823122039388486e-07, + "loss": 0.6414, + "step": 29709 + }, + { + "epoch": 0.87, + "learning_rate": 4.1804075802126307e-07, + "loss": 0.5976, + "step": 29710 + }, + { + "epoch": 0.87, + "learning_rate": 4.1785033713468814e-07, + "loss": 0.8374, + "step": 29711 + }, + { + "epoch": 0.87, + "learning_rate": 4.176599577358853e-07, + "loss": 0.8264, + "step": 29712 + }, + { + "epoch": 0.87, + "learning_rate": 4.17469619826576e-07, + "loss": 0.8128, + "step": 29713 + }, + { + "epoch": 0.87, + "learning_rate": 4.1727932340848653e-07, + "loss": 0.7539, + "step": 29714 + }, + { + "epoch": 0.87, + "learning_rate": 4.1708906848333674e-07, + "loss": 0.8039, + "step": 29715 + }, + { + "epoch": 0.87, + "learning_rate": 4.168988550528519e-07, + "loss": 0.8558, + "step": 29716 + }, + { + "epoch": 0.87, + "learning_rate": 4.1670868311875224e-07, + "loss": 0.818, + "step": 29717 + }, + { + "epoch": 0.87, + "learning_rate": 4.165185526827614e-07, + "loss": 0.6529, + "step": 29718 + }, + { + "epoch": 0.87, + "learning_rate": 4.163284637465975e-07, + "loss": 0.6869, + "step": 29719 + }, + { + "epoch": 0.87, + "learning_rate": 4.1613841631198695e-07, + "loss": 0.7026, + "step": 29720 + }, + { + "epoch": 0.87, + "learning_rate": 4.1594841038064604e-07, + "loss": 1.0575, + "step": 29721 + }, + { + "epoch": 0.87, + "learning_rate": 4.1575844595429737e-07, + "loss": 0.5944, + "step": 29722 + }, + { + "epoch": 0.87, + "learning_rate": 4.155685230346601e-07, + "loss": 0.723, + "step": 29723 + }, + { + "epoch": 0.87, + "learning_rate": 4.15378641623454e-07, + "loss": 0.5186, + "step": 29724 + }, + { + "epoch": 0.87, + "learning_rate": 4.151888017223982e-07, + "loss": 0.4319, + "step": 29725 + }, + { + "epoch": 0.87, + "learning_rate": 4.1499900333321184e-07, + "loss": 0.6526, + "step": 29726 + }, + { + "epoch": 0.87, + "learning_rate": 4.148092464576126e-07, + "loss": 0.7419, + "step": 29727 + }, + { + "epoch": 0.87, + "learning_rate": 4.1461953109732e-07, + "loss": 0.6708, + "step": 29728 + }, + { + "epoch": 0.87, + "learning_rate": 4.1442985725405006e-07, + "loss": 0.6128, + "step": 29729 + }, + { + "epoch": 0.87, + "learning_rate": 4.142402249295213e-07, + "loss": 0.8667, + "step": 29730 + }, + { + "epoch": 0.87, + "learning_rate": 4.1405063412545077e-07, + "loss": 0.5483, + "step": 29731 + }, + { + "epoch": 0.87, + "learning_rate": 4.138610848435542e-07, + "loss": 0.5974, + "step": 29732 + }, + { + "epoch": 0.87, + "learning_rate": 4.136715770855487e-07, + "loss": 0.5863, + "step": 29733 + }, + { + "epoch": 0.87, + "learning_rate": 4.134821108531495e-07, + "loss": 0.7994, + "step": 29734 + }, + { + "epoch": 0.87, + "learning_rate": 4.132926861480724e-07, + "loss": 0.5213, + "step": 29735 + }, + { + "epoch": 0.87, + "learning_rate": 4.1310330297203217e-07, + "loss": 0.789, + "step": 29736 + }, + { + "epoch": 0.87, + "learning_rate": 4.129139613267441e-07, + "loss": 0.6245, + "step": 29737 + }, + { + "epoch": 0.87, + "learning_rate": 4.127246612139213e-07, + "loss": 1.3075, + "step": 29738 + }, + { + "epoch": 0.87, + "learning_rate": 4.12535402635279e-07, + "loss": 0.7766, + "step": 29739 + }, + { + "epoch": 0.87, + "learning_rate": 4.123461855925298e-07, + "loss": 0.7219, + "step": 29740 + }, + { + "epoch": 0.87, + "learning_rate": 4.1215701008738893e-07, + "loss": 0.6499, + "step": 29741 + }, + { + "epoch": 0.87, + "learning_rate": 4.119678761215667e-07, + "loss": 0.6993, + "step": 29742 + }, + { + "epoch": 0.87, + "learning_rate": 4.117787836967774e-07, + "loss": 0.7881, + "step": 29743 + }, + { + "epoch": 0.87, + "learning_rate": 4.115897328147317e-07, + "loss": 0.6088, + "step": 29744 + }, + { + "epoch": 0.87, + "learning_rate": 4.114007234771422e-07, + "loss": 0.8404, + "step": 29745 + }, + { + "epoch": 0.87, + "learning_rate": 4.112117556857198e-07, + "loss": 0.8451, + "step": 29746 + }, + { + "epoch": 0.87, + "learning_rate": 4.1102282944217643e-07, + "loss": 0.6564, + "step": 29747 + }, + { + "epoch": 0.87, + "learning_rate": 4.1083394474822067e-07, + "loss": 0.8835, + "step": 29748 + }, + { + "epoch": 0.87, + "learning_rate": 4.106451016055646e-07, + "loss": 0.67, + "step": 29749 + }, + { + "epoch": 0.87, + "learning_rate": 4.104563000159179e-07, + "loss": 0.8631, + "step": 29750 + }, + { + "epoch": 0.87, + "learning_rate": 4.1026753998098856e-07, + "loss": 0.613, + "step": 29751 + }, + { + "epoch": 0.87, + "learning_rate": 4.1007882150248757e-07, + "loss": 0.7926, + "step": 29752 + }, + { + "epoch": 0.87, + "learning_rate": 4.098901445821218e-07, + "loss": 0.8777, + "step": 29753 + }, + { + "epoch": 0.87, + "learning_rate": 4.097015092216011e-07, + "loss": 0.4927, + "step": 29754 + }, + { + "epoch": 0.87, + "learning_rate": 4.095129154226324e-07, + "loss": 0.6704, + "step": 29755 + }, + { + "epoch": 0.87, + "learning_rate": 4.093243631869237e-07, + "loss": 0.6621, + "step": 29756 + }, + { + "epoch": 0.87, + "learning_rate": 4.0913585251618205e-07, + "loss": 0.6726, + "step": 29757 + }, + { + "epoch": 0.87, + "learning_rate": 4.0894738341211494e-07, + "loss": 0.6617, + "step": 29758 + }, + { + "epoch": 0.87, + "learning_rate": 4.08758955876426e-07, + "loss": 0.7651, + "step": 29759 + }, + { + "epoch": 0.87, + "learning_rate": 4.0857056991082555e-07, + "loss": 0.6405, + "step": 29760 + }, + { + "epoch": 0.87, + "learning_rate": 4.0838222551701666e-07, + "loss": 1.0266, + "step": 29761 + }, + { + "epoch": 0.87, + "learning_rate": 4.0819392269670577e-07, + "loss": 0.6211, + "step": 29762 + }, + { + "epoch": 0.87, + "learning_rate": 4.0800566145159646e-07, + "loss": 0.6369, + "step": 29763 + }, + { + "epoch": 0.87, + "learning_rate": 4.078174417833952e-07, + "loss": 1.0408, + "step": 29764 + }, + { + "epoch": 0.87, + "learning_rate": 4.076292636938034e-07, + "loss": 0.5201, + "step": 29765 + }, + { + "epoch": 0.87, + "learning_rate": 4.07441127184528e-07, + "loss": 0.927, + "step": 29766 + }, + { + "epoch": 0.87, + "learning_rate": 4.072530322572699e-07, + "loss": 0.7596, + "step": 29767 + }, + { + "epoch": 0.87, + "learning_rate": 4.070649789137343e-07, + "loss": 0.6987, + "step": 29768 + }, + { + "epoch": 0.87, + "learning_rate": 4.068769671556216e-07, + "loss": 0.6831, + "step": 29769 + }, + { + "epoch": 0.87, + "learning_rate": 4.0668899698463547e-07, + "loss": 0.7107, + "step": 29770 + }, + { + "epoch": 0.87, + "learning_rate": 4.065010684024784e-07, + "loss": 0.8344, + "step": 29771 + }, + { + "epoch": 0.87, + "learning_rate": 4.063131814108506e-07, + "loss": 0.6937, + "step": 29772 + }, + { + "epoch": 0.87, + "learning_rate": 4.061253360114542e-07, + "loss": 0.5901, + "step": 29773 + }, + { + "epoch": 0.87, + "learning_rate": 4.0593753220598887e-07, + "loss": 0.6085, + "step": 29774 + }, + { + "epoch": 0.87, + "learning_rate": 4.0574976999615654e-07, + "loss": 0.6101, + "step": 29775 + }, + { + "epoch": 0.87, + "learning_rate": 4.0556204938365596e-07, + "loss": 0.6326, + "step": 29776 + }, + { + "epoch": 0.87, + "learning_rate": 4.053743703701879e-07, + "loss": 0.8859, + "step": 29777 + }, + { + "epoch": 0.87, + "learning_rate": 4.0518673295744993e-07, + "loss": 0.7055, + "step": 29778 + }, + { + "epoch": 0.87, + "learning_rate": 4.0499913714714236e-07, + "loss": 0.6667, + "step": 29779 + }, + { + "epoch": 0.87, + "learning_rate": 4.0481158294096377e-07, + "loss": 0.6459, + "step": 29780 + }, + { + "epoch": 0.87, + "learning_rate": 4.0462407034061236e-07, + "loss": 0.7156, + "step": 29781 + }, + { + "epoch": 0.87, + "learning_rate": 4.04436599347785e-07, + "loss": 0.5353, + "step": 29782 + }, + { + "epoch": 0.87, + "learning_rate": 4.0424916996417987e-07, + "loss": 0.6446, + "step": 29783 + }, + { + "epoch": 0.88, + "learning_rate": 4.040617821914933e-07, + "loss": 0.771, + "step": 29784 + }, + { + "epoch": 0.88, + "learning_rate": 4.038744360314234e-07, + "loss": 0.7965, + "step": 29785 + }, + { + "epoch": 0.88, + "learning_rate": 4.036871314856644e-07, + "loss": 0.7005, + "step": 29786 + }, + { + "epoch": 0.88, + "learning_rate": 4.0349986855591437e-07, + "loss": 0.6181, + "step": 29787 + }, + { + "epoch": 0.88, + "learning_rate": 4.0331264724386645e-07, + "loss": 0.614, + "step": 29788 + }, + { + "epoch": 0.88, + "learning_rate": 4.0312546755121697e-07, + "loss": 0.688, + "step": 29789 + }, + { + "epoch": 0.88, + "learning_rate": 4.0293832947966185e-07, + "loss": 0.6759, + "step": 29790 + }, + { + "epoch": 0.88, + "learning_rate": 4.0275123303089357e-07, + "loss": 0.6423, + "step": 29791 + }, + { + "epoch": 0.88, + "learning_rate": 4.025641782066075e-07, + "loss": 0.6844, + "step": 29792 + }, + { + "epoch": 0.88, + "learning_rate": 4.0237716500849624e-07, + "loss": 0.4888, + "step": 29793 + }, + { + "epoch": 0.88, + "learning_rate": 4.0219019343825383e-07, + "loss": 0.6425, + "step": 29794 + }, + { + "epoch": 0.88, + "learning_rate": 4.0200326349757236e-07, + "loss": 0.789, + "step": 29795 + }, + { + "epoch": 0.88, + "learning_rate": 4.01816375188146e-07, + "loss": 0.7406, + "step": 29796 + }, + { + "epoch": 0.88, + "learning_rate": 4.016295285116645e-07, + "loss": 0.9791, + "step": 29797 + }, + { + "epoch": 0.88, + "learning_rate": 4.014427234698204e-07, + "loss": 0.7844, + "step": 29798 + }, + { + "epoch": 0.88, + "learning_rate": 4.012559600643062e-07, + "loss": 0.5286, + "step": 29799 + }, + { + "epoch": 0.88, + "learning_rate": 4.0106923829681233e-07, + "loss": 0.6391, + "step": 29800 + }, + { + "epoch": 0.88, + "learning_rate": 4.00882558169029e-07, + "loss": 0.605, + "step": 29801 + }, + { + "epoch": 0.88, + "learning_rate": 4.006959196826471e-07, + "loss": 0.7263, + "step": 29802 + }, + { + "epoch": 0.88, + "learning_rate": 4.005093228393558e-07, + "loss": 0.5791, + "step": 29803 + }, + { + "epoch": 0.88, + "learning_rate": 4.0032276764084555e-07, + "loss": 0.6324, + "step": 29804 + }, + { + "epoch": 0.88, + "learning_rate": 4.0013625408880373e-07, + "loss": 0.9835, + "step": 29805 + }, + { + "epoch": 0.88, + "learning_rate": 3.9994978218492077e-07, + "loss": 0.6477, + "step": 29806 + }, + { + "epoch": 0.88, + "learning_rate": 3.9976335193088413e-07, + "loss": 0.4406, + "step": 29807 + }, + { + "epoch": 0.88, + "learning_rate": 3.995769633283819e-07, + "loss": 0.721, + "step": 29808 + }, + { + "epoch": 0.88, + "learning_rate": 3.9939061637910224e-07, + "loss": 0.7107, + "step": 29809 + }, + { + "epoch": 0.88, + "learning_rate": 3.9920431108473156e-07, + "loss": 0.4951, + "step": 29810 + }, + { + "epoch": 0.88, + "learning_rate": 3.9901804744695794e-07, + "loss": 0.611, + "step": 29811 + }, + { + "epoch": 0.88, + "learning_rate": 3.9883182546746614e-07, + "loss": 0.6939, + "step": 29812 + }, + { + "epoch": 0.88, + "learning_rate": 3.986456451479442e-07, + "loss": 0.5909, + "step": 29813 + }, + { + "epoch": 0.88, + "learning_rate": 3.9845950649007594e-07, + "loss": 0.5624, + "step": 29814 + }, + { + "epoch": 0.88, + "learning_rate": 3.9827340949554817e-07, + "loss": 0.5845, + "step": 29815 + }, + { + "epoch": 0.88, + "learning_rate": 3.980873541660446e-07, + "loss": 0.7169, + "step": 29816 + }, + { + "epoch": 0.88, + "learning_rate": 3.9790134050325115e-07, + "loss": 0.8333, + "step": 29817 + }, + { + "epoch": 0.88, + "learning_rate": 3.977153685088497e-07, + "loss": 0.6825, + "step": 29818 + }, + { + "epoch": 0.88, + "learning_rate": 3.9752943818452736e-07, + "loss": 0.9312, + "step": 29819 + }, + { + "epoch": 0.88, + "learning_rate": 3.9734354953196495e-07, + "loss": 0.7541, + "step": 29820 + }, + { + "epoch": 0.88, + "learning_rate": 3.9715770255284725e-07, + "loss": 0.7614, + "step": 29821 + }, + { + "epoch": 0.88, + "learning_rate": 3.9697189724885567e-07, + "loss": 0.6538, + "step": 29822 + }, + { + "epoch": 0.88, + "learning_rate": 3.9678613362167385e-07, + "loss": 0.5477, + "step": 29823 + }, + { + "epoch": 0.88, + "learning_rate": 3.9660041167298213e-07, + "loss": 0.5869, + "step": 29824 + }, + { + "epoch": 0.88, + "learning_rate": 3.9641473140446416e-07, + "loss": 0.8066, + "step": 29825 + }, + { + "epoch": 0.88, + "learning_rate": 3.9622909281779865e-07, + "loss": 0.6723, + "step": 29826 + }, + { + "epoch": 0.88, + "learning_rate": 3.960434959146686e-07, + "loss": 0.7895, + "step": 29827 + }, + { + "epoch": 0.88, + "learning_rate": 3.958579406967528e-07, + "loss": 0.7057, + "step": 29828 + }, + { + "epoch": 0.88, + "learning_rate": 3.956724271657314e-07, + "loss": 0.8253, + "step": 29829 + }, + { + "epoch": 0.88, + "learning_rate": 3.95486955323286e-07, + "loss": 0.6083, + "step": 29830 + }, + { + "epoch": 0.88, + "learning_rate": 3.95301525171094e-07, + "loss": 0.7265, + "step": 29831 + }, + { + "epoch": 0.88, + "learning_rate": 3.9511613671083526e-07, + "loss": 0.493, + "step": 29832 + }, + { + "epoch": 0.88, + "learning_rate": 3.949307899441873e-07, + "loss": 0.6621, + "step": 29833 + }, + { + "epoch": 0.88, + "learning_rate": 3.947454848728299e-07, + "loss": 0.5948, + "step": 29834 + }, + { + "epoch": 0.88, + "learning_rate": 3.94560221498439e-07, + "loss": 0.7738, + "step": 29835 + }, + { + "epoch": 0.88, + "learning_rate": 3.9437499982269365e-07, + "loss": 0.6752, + "step": 29836 + }, + { + "epoch": 0.88, + "learning_rate": 3.941898198472699e-07, + "loss": 0.6456, + "step": 29837 + }, + { + "epoch": 0.88, + "learning_rate": 3.9400468157384406e-07, + "loss": 0.5195, + "step": 29838 + }, + { + "epoch": 0.88, + "learning_rate": 3.938195850040932e-07, + "loss": 0.7338, + "step": 29839 + }, + { + "epoch": 0.88, + "learning_rate": 3.9363453013969435e-07, + "loss": 0.9736, + "step": 29840 + }, + { + "epoch": 0.88, + "learning_rate": 3.934495169823205e-07, + "loss": 0.7576, + "step": 29841 + }, + { + "epoch": 0.88, + "learning_rate": 3.932645455336487e-07, + "loss": 0.7226, + "step": 29842 + }, + { + "epoch": 0.88, + "learning_rate": 3.930796157953526e-07, + "loss": 0.7684, + "step": 29843 + }, + { + "epoch": 0.88, + "learning_rate": 3.928947277691075e-07, + "loss": 0.7538, + "step": 29844 + }, + { + "epoch": 0.88, + "learning_rate": 3.927098814565866e-07, + "loss": 0.6185, + "step": 29845 + }, + { + "epoch": 0.88, + "learning_rate": 3.925250768594646e-07, + "loss": 0.6777, + "step": 29846 + }, + { + "epoch": 0.88, + "learning_rate": 3.92340313979413e-07, + "loss": 0.8405, + "step": 29847 + }, + { + "epoch": 0.88, + "learning_rate": 3.921555928181059e-07, + "loss": 0.6201, + "step": 29848 + }, + { + "epoch": 0.88, + "learning_rate": 3.919709133772165e-07, + "loss": 0.8672, + "step": 29849 + }, + { + "epoch": 0.88, + "learning_rate": 3.917862756584151e-07, + "loss": 0.9304, + "step": 29850 + }, + { + "epoch": 0.88, + "learning_rate": 3.916016796633754e-07, + "loss": 0.7924, + "step": 29851 + }, + { + "epoch": 0.88, + "learning_rate": 3.914171253937671e-07, + "loss": 0.5909, + "step": 29852 + }, + { + "epoch": 0.88, + "learning_rate": 3.912326128512628e-07, + "loss": 0.7655, + "step": 29853 + }, + { + "epoch": 0.88, + "learning_rate": 3.9104814203753116e-07, + "loss": 0.5014, + "step": 29854 + }, + { + "epoch": 0.88, + "learning_rate": 3.908637129542447e-07, + "loss": 0.798, + "step": 29855 + }, + { + "epoch": 0.88, + "learning_rate": 3.906793256030711e-07, + "loss": 0.4841, + "step": 29856 + }, + { + "epoch": 0.88, + "learning_rate": 3.9049497998568055e-07, + "loss": 0.9169, + "step": 29857 + }, + { + "epoch": 0.88, + "learning_rate": 3.903106761037423e-07, + "loss": 0.5853, + "step": 29858 + }, + { + "epoch": 0.88, + "learning_rate": 3.9012641395892613e-07, + "loss": 0.9449, + "step": 29859 + }, + { + "epoch": 0.88, + "learning_rate": 3.899421935528991e-07, + "loss": 0.795, + "step": 29860 + }, + { + "epoch": 0.88, + "learning_rate": 3.8975801488732976e-07, + "loss": 0.6997, + "step": 29861 + }, + { + "epoch": 0.88, + "learning_rate": 3.895738779638852e-07, + "loss": 0.5818, + "step": 29862 + }, + { + "epoch": 0.88, + "learning_rate": 3.89389782784233e-07, + "loss": 0.4366, + "step": 29863 + }, + { + "epoch": 0.88, + "learning_rate": 3.8920572935003954e-07, + "loss": 0.7165, + "step": 29864 + }, + { + "epoch": 0.88, + "learning_rate": 3.890217176629724e-07, + "loss": 0.8467, + "step": 29865 + }, + { + "epoch": 0.88, + "learning_rate": 3.888377477246963e-07, + "loss": 0.8568, + "step": 29866 + }, + { + "epoch": 0.88, + "learning_rate": 3.886538195368772e-07, + "loss": 0.5615, + "step": 29867 + }, + { + "epoch": 0.88, + "learning_rate": 3.8846993310118206e-07, + "loss": 0.7438, + "step": 29868 + }, + { + "epoch": 0.88, + "learning_rate": 3.882860884192735e-07, + "loss": 0.9546, + "step": 29869 + }, + { + "epoch": 0.88, + "learning_rate": 3.881022854928179e-07, + "loss": 0.5129, + "step": 29870 + }, + { + "epoch": 0.88, + "learning_rate": 3.879185243234773e-07, + "loss": 1.0657, + "step": 29871 + }, + { + "epoch": 0.88, + "learning_rate": 3.877348049129187e-07, + "loss": 0.5234, + "step": 29872 + }, + { + "epoch": 0.88, + "learning_rate": 3.875511272628024e-07, + "loss": 0.5221, + "step": 29873 + }, + { + "epoch": 0.88, + "learning_rate": 3.8736749137479377e-07, + "loss": 0.8584, + "step": 29874 + }, + { + "epoch": 0.88, + "learning_rate": 3.8718389725055314e-07, + "loss": 0.7959, + "step": 29875 + }, + { + "epoch": 0.88, + "learning_rate": 3.8700034489174585e-07, + "loss": 0.7015, + "step": 29876 + }, + { + "epoch": 0.88, + "learning_rate": 3.8681683430003005e-07, + "loss": 0.6521, + "step": 29877 + }, + { + "epoch": 0.88, + "learning_rate": 3.8663336547707097e-07, + "loss": 0.6212, + "step": 29878 + }, + { + "epoch": 0.88, + "learning_rate": 3.8644993842452736e-07, + "loss": 0.879, + "step": 29879 + }, + { + "epoch": 0.88, + "learning_rate": 3.862665531440618e-07, + "loss": 1.1688, + "step": 29880 + }, + { + "epoch": 0.88, + "learning_rate": 3.860832096373329e-07, + "loss": 0.6384, + "step": 29881 + }, + { + "epoch": 0.88, + "learning_rate": 3.8589990790600276e-07, + "loss": 0.98, + "step": 29882 + }, + { + "epoch": 0.88, + "learning_rate": 3.8571664795172823e-07, + "loss": 0.9026, + "step": 29883 + }, + { + "epoch": 0.88, + "learning_rate": 3.855334297761715e-07, + "loss": 0.555, + "step": 29884 + }, + { + "epoch": 0.88, + "learning_rate": 3.8535025338098887e-07, + "loss": 0.5466, + "step": 29885 + }, + { + "epoch": 0.88, + "learning_rate": 3.8516711876784127e-07, + "loss": 0.6654, + "step": 29886 + }, + { + "epoch": 0.88, + "learning_rate": 3.849840259383847e-07, + "loss": 0.793, + "step": 29887 + }, + { + "epoch": 0.88, + "learning_rate": 3.8480097489427827e-07, + "loss": 0.6629, + "step": 29888 + }, + { + "epoch": 0.88, + "learning_rate": 3.8461796563717957e-07, + "loss": 0.8423, + "step": 29889 + }, + { + "epoch": 0.88, + "learning_rate": 3.84434998168744e-07, + "loss": 0.6277, + "step": 29890 + }, + { + "epoch": 0.88, + "learning_rate": 3.8425207249063014e-07, + "loss": 0.7304, + "step": 29891 + }, + { + "epoch": 0.88, + "learning_rate": 3.8406918860449283e-07, + "loss": 0.5853, + "step": 29892 + }, + { + "epoch": 0.88, + "learning_rate": 3.838863465119891e-07, + "loss": 0.9612, + "step": 29893 + }, + { + "epoch": 0.88, + "learning_rate": 3.837035462147726e-07, + "loss": 0.5176, + "step": 29894 + }, + { + "epoch": 0.88, + "learning_rate": 3.8352078771450086e-07, + "loss": 0.627, + "step": 29895 + }, + { + "epoch": 0.88, + "learning_rate": 3.833380710128265e-07, + "loss": 0.7941, + "step": 29896 + }, + { + "epoch": 0.88, + "learning_rate": 3.831553961114048e-07, + "loss": 0.4138, + "step": 29897 + }, + { + "epoch": 0.88, + "learning_rate": 3.8297276301188955e-07, + "loss": 0.4337, + "step": 29898 + }, + { + "epoch": 0.88, + "learning_rate": 3.827901717159349e-07, + "loss": 0.6772, + "step": 29899 + }, + { + "epoch": 0.88, + "learning_rate": 3.826076222251934e-07, + "loss": 0.845, + "step": 29900 + }, + { + "epoch": 0.88, + "learning_rate": 3.824251145413188e-07, + "loss": 0.9964, + "step": 29901 + }, + { + "epoch": 0.88, + "learning_rate": 3.8224264866596196e-07, + "loss": 0.5068, + "step": 29902 + }, + { + "epoch": 0.88, + "learning_rate": 3.8206022460077706e-07, + "loss": 0.4683, + "step": 29903 + }, + { + "epoch": 0.88, + "learning_rate": 3.81877842347414e-07, + "loss": 0.8733, + "step": 29904 + }, + { + "epoch": 0.88, + "learning_rate": 3.8169550190752526e-07, + "loss": 0.7843, + "step": 29905 + }, + { + "epoch": 0.88, + "learning_rate": 3.815132032827601e-07, + "loss": 1.0071, + "step": 29906 + }, + { + "epoch": 0.88, + "learning_rate": 3.813309464747705e-07, + "loss": 0.546, + "step": 29907 + }, + { + "epoch": 0.88, + "learning_rate": 3.8114873148520694e-07, + "loss": 0.8703, + "step": 29908 + }, + { + "epoch": 0.88, + "learning_rate": 3.8096655831571905e-07, + "loss": 0.6122, + "step": 29909 + }, + { + "epoch": 0.88, + "learning_rate": 3.807844269679556e-07, + "loss": 0.5287, + "step": 29910 + }, + { + "epoch": 0.88, + "learning_rate": 3.8060233744356634e-07, + "loss": 0.7333, + "step": 29911 + }, + { + "epoch": 0.88, + "learning_rate": 3.804202897442e-07, + "loss": 0.9183, + "step": 29912 + }, + { + "epoch": 0.88, + "learning_rate": 3.802382838715035e-07, + "loss": 0.9032, + "step": 29913 + }, + { + "epoch": 0.88, + "learning_rate": 3.8005631982712674e-07, + "loss": 0.6026, + "step": 29914 + }, + { + "epoch": 0.88, + "learning_rate": 3.7987439761271504e-07, + "loss": 0.6931, + "step": 29915 + }, + { + "epoch": 0.88, + "learning_rate": 3.796925172299171e-07, + "loss": 0.6836, + "step": 29916 + }, + { + "epoch": 0.88, + "learning_rate": 3.795106786803793e-07, + "loss": 0.6314, + "step": 29917 + }, + { + "epoch": 0.88, + "learning_rate": 3.793288819657487e-07, + "loss": 0.6824, + "step": 29918 + }, + { + "epoch": 0.88, + "learning_rate": 3.791471270876707e-07, + "loss": 0.8193, + "step": 29919 + }, + { + "epoch": 0.88, + "learning_rate": 3.789654140477911e-07, + "loss": 0.5469, + "step": 29920 + }, + { + "epoch": 0.88, + "learning_rate": 3.7878374284775475e-07, + "loss": 0.5962, + "step": 29921 + }, + { + "epoch": 0.88, + "learning_rate": 3.786021134892076e-07, + "loss": 0.8873, + "step": 29922 + }, + { + "epoch": 0.88, + "learning_rate": 3.784205259737922e-07, + "loss": 0.7312, + "step": 29923 + }, + { + "epoch": 0.88, + "learning_rate": 3.78238980303155e-07, + "loss": 0.7351, + "step": 29924 + }, + { + "epoch": 0.88, + "learning_rate": 3.78057476478938e-07, + "loss": 0.8216, + "step": 29925 + }, + { + "epoch": 0.88, + "learning_rate": 3.7787601450278546e-07, + "loss": 0.8362, + "step": 29926 + }, + { + "epoch": 0.88, + "learning_rate": 3.7769459437633936e-07, + "loss": 0.639, + "step": 29927 + }, + { + "epoch": 0.88, + "learning_rate": 3.775132161012446e-07, + "loss": 0.8064, + "step": 29928 + }, + { + "epoch": 0.88, + "learning_rate": 3.7733187967914084e-07, + "loss": 0.7399, + "step": 29929 + }, + { + "epoch": 0.88, + "learning_rate": 3.7715058511167247e-07, + "loss": 0.8999, + "step": 29930 + }, + { + "epoch": 0.88, + "learning_rate": 3.7696933240047806e-07, + "loss": 0.7102, + "step": 29931 + }, + { + "epoch": 0.88, + "learning_rate": 3.767881215472013e-07, + "loss": 0.5066, + "step": 29932 + }, + { + "epoch": 0.88, + "learning_rate": 3.76606952553481e-07, + "loss": 0.6302, + "step": 29933 + }, + { + "epoch": 0.88, + "learning_rate": 3.764258254209585e-07, + "loss": 0.7692, + "step": 29934 + }, + { + "epoch": 0.88, + "learning_rate": 3.7624474015127365e-07, + "loss": 0.5218, + "step": 29935 + }, + { + "epoch": 0.88, + "learning_rate": 3.7606369674606514e-07, + "loss": 0.6769, + "step": 29936 + }, + { + "epoch": 0.88, + "learning_rate": 3.758826952069744e-07, + "loss": 0.488, + "step": 29937 + }, + { + "epoch": 0.88, + "learning_rate": 3.757017355356379e-07, + "loss": 0.7687, + "step": 29938 + }, + { + "epoch": 0.88, + "learning_rate": 3.755208177336961e-07, + "loss": 0.7377, + "step": 29939 + }, + { + "epoch": 0.88, + "learning_rate": 3.7533994180278476e-07, + "loss": 1.1287, + "step": 29940 + }, + { + "epoch": 0.88, + "learning_rate": 3.751591077445438e-07, + "loss": 0.7434, + "step": 29941 + }, + { + "epoch": 0.88, + "learning_rate": 3.749783155606085e-07, + "loss": 0.6416, + "step": 29942 + }, + { + "epoch": 0.88, + "learning_rate": 3.747975652526181e-07, + "loss": 0.8315, + "step": 29943 + }, + { + "epoch": 0.88, + "learning_rate": 3.746168568222069e-07, + "loss": 0.6784, + "step": 29944 + }, + { + "epoch": 0.88, + "learning_rate": 3.7443619027101254e-07, + "loss": 0.643, + "step": 29945 + }, + { + "epoch": 0.88, + "learning_rate": 3.742555656006691e-07, + "loss": 0.6406, + "step": 29946 + }, + { + "epoch": 0.88, + "learning_rate": 3.7407498281281486e-07, + "loss": 0.6217, + "step": 29947 + }, + { + "epoch": 0.88, + "learning_rate": 3.7389444190908233e-07, + "loss": 0.6242, + "step": 29948 + }, + { + "epoch": 0.88, + "learning_rate": 3.737139428911074e-07, + "loss": 0.9238, + "step": 29949 + }, + { + "epoch": 0.88, + "learning_rate": 3.7353348576052386e-07, + "loss": 0.654, + "step": 29950 + }, + { + "epoch": 0.88, + "learning_rate": 3.733530705189664e-07, + "loss": 0.6564, + "step": 29951 + }, + { + "epoch": 0.88, + "learning_rate": 3.7317269716806715e-07, + "loss": 0.5301, + "step": 29952 + }, + { + "epoch": 0.88, + "learning_rate": 3.729923657094603e-07, + "loss": 0.9648, + "step": 29953 + }, + { + "epoch": 0.88, + "learning_rate": 3.7281207614477786e-07, + "loss": 0.5998, + "step": 29954 + }, + { + "epoch": 0.88, + "learning_rate": 3.726318284756536e-07, + "loss": 0.8089, + "step": 29955 + }, + { + "epoch": 0.88, + "learning_rate": 3.724516227037178e-07, + "loss": 0.6991, + "step": 29956 + }, + { + "epoch": 0.88, + "learning_rate": 3.7227145883060255e-07, + "loss": 0.6162, + "step": 29957 + }, + { + "epoch": 0.88, + "learning_rate": 3.720913368579404e-07, + "loss": 0.6736, + "step": 29958 + }, + { + "epoch": 0.88, + "learning_rate": 3.7191125678736064e-07, + "loss": 0.5045, + "step": 29959 + }, + { + "epoch": 0.88, + "learning_rate": 3.7173121862049465e-07, + "loss": 0.7286, + "step": 29960 + }, + { + "epoch": 0.88, + "learning_rate": 3.7155122235897177e-07, + "loss": 0.6261, + "step": 29961 + }, + { + "epoch": 0.88, + "learning_rate": 3.713712680044229e-07, + "loss": 0.6227, + "step": 29962 + }, + { + "epoch": 0.88, + "learning_rate": 3.7119135555847563e-07, + "loss": 0.5334, + "step": 29963 + }, + { + "epoch": 0.88, + "learning_rate": 3.7101148502276086e-07, + "loss": 0.8776, + "step": 29964 + }, + { + "epoch": 0.88, + "learning_rate": 3.7083165639890563e-07, + "loss": 0.6164, + "step": 29965 + }, + { + "epoch": 0.88, + "learning_rate": 3.7065186968853863e-07, + "loss": 0.4888, + "step": 29966 + }, + { + "epoch": 0.88, + "learning_rate": 3.7047212489328797e-07, + "loss": 0.6964, + "step": 29967 + }, + { + "epoch": 0.88, + "learning_rate": 3.702924220147813e-07, + "loss": 0.7443, + "step": 29968 + }, + { + "epoch": 0.88, + "learning_rate": 3.701127610546451e-07, + "loss": 0.5177, + "step": 29969 + }, + { + "epoch": 0.88, + "learning_rate": 3.699331420145069e-07, + "loss": 0.5045, + "step": 29970 + }, + { + "epoch": 0.88, + "learning_rate": 3.6975356489599155e-07, + "loss": 0.8544, + "step": 29971 + }, + { + "epoch": 0.88, + "learning_rate": 3.695740297007272e-07, + "loss": 0.6416, + "step": 29972 + }, + { + "epoch": 0.88, + "learning_rate": 3.693945364303364e-07, + "loss": 0.7897, + "step": 29973 + }, + { + "epoch": 0.88, + "learning_rate": 3.692150850864473e-07, + "loss": 0.6298, + "step": 29974 + }, + { + "epoch": 0.88, + "learning_rate": 3.6903567567068255e-07, + "loss": 0.6117, + "step": 29975 + }, + { + "epoch": 0.88, + "learning_rate": 3.6885630818466746e-07, + "loss": 0.6599, + "step": 29976 + }, + { + "epoch": 0.88, + "learning_rate": 3.686769826300263e-07, + "loss": 0.6287, + "step": 29977 + }, + { + "epoch": 0.88, + "learning_rate": 3.6849769900838215e-07, + "loss": 0.6728, + "step": 29978 + }, + { + "epoch": 0.88, + "learning_rate": 3.683184573213594e-07, + "loss": 0.9534, + "step": 29979 + }, + { + "epoch": 0.88, + "learning_rate": 3.681392575705789e-07, + "loss": 0.5832, + "step": 29980 + }, + { + "epoch": 0.88, + "learning_rate": 3.679600997576649e-07, + "loss": 0.8146, + "step": 29981 + }, + { + "epoch": 0.88, + "learning_rate": 3.6778098388423886e-07, + "loss": 0.9154, + "step": 29982 + }, + { + "epoch": 0.88, + "learning_rate": 3.676019099519229e-07, + "loss": 0.6764, + "step": 29983 + }, + { + "epoch": 0.88, + "learning_rate": 3.674228779623379e-07, + "loss": 0.5358, + "step": 29984 + }, + { + "epoch": 0.88, + "learning_rate": 3.672438879171042e-07, + "loss": 0.704, + "step": 29985 + }, + { + "epoch": 0.88, + "learning_rate": 3.6706493981784385e-07, + "loss": 0.6964, + "step": 29986 + }, + { + "epoch": 0.88, + "learning_rate": 3.668860336661778e-07, + "loss": 0.8066, + "step": 29987 + }, + { + "epoch": 0.88, + "learning_rate": 3.667071694637231e-07, + "loss": 0.7326, + "step": 29988 + }, + { + "epoch": 0.88, + "learning_rate": 3.6652834721210226e-07, + "loss": 0.8363, + "step": 29989 + }, + { + "epoch": 0.88, + "learning_rate": 3.663495669129313e-07, + "loss": 0.7187, + "step": 29990 + }, + { + "epoch": 0.88, + "learning_rate": 3.6617082856783224e-07, + "loss": 0.688, + "step": 29991 + }, + { + "epoch": 0.88, + "learning_rate": 3.659921321784199e-07, + "loss": 0.757, + "step": 29992 + }, + { + "epoch": 0.88, + "learning_rate": 3.658134777463157e-07, + "loss": 0.9961, + "step": 29993 + }, + { + "epoch": 0.88, + "learning_rate": 3.656348652731345e-07, + "loss": 1.0006, + "step": 29994 + }, + { + "epoch": 0.88, + "learning_rate": 3.654562947604945e-07, + "loss": 0.5426, + "step": 29995 + }, + { + "epoch": 0.88, + "learning_rate": 3.652777662100132e-07, + "loss": 0.7301, + "step": 29996 + }, + { + "epoch": 0.88, + "learning_rate": 3.650992796233055e-07, + "loss": 0.693, + "step": 29997 + }, + { + "epoch": 0.88, + "learning_rate": 3.649208350019895e-07, + "loss": 0.7371, + "step": 29998 + }, + { + "epoch": 0.88, + "learning_rate": 3.647424323476789e-07, + "loss": 0.5925, + "step": 29999 + }, + { + "epoch": 0.88, + "learning_rate": 3.6456407166199026e-07, + "loss": 0.6664, + "step": 30000 + }, + { + "epoch": 0.88, + "learning_rate": 3.6438575294653776e-07, + "loss": 0.882, + "step": 30001 + }, + { + "epoch": 0.88, + "learning_rate": 3.642074762029368e-07, + "loss": 0.7465, + "step": 30002 + }, + { + "epoch": 0.88, + "learning_rate": 3.640292414328006e-07, + "loss": 0.7685, + "step": 30003 + }, + { + "epoch": 0.88, + "learning_rate": 3.6385104863774334e-07, + "loss": 0.7556, + "step": 30004 + }, + { + "epoch": 0.88, + "learning_rate": 3.636728978193771e-07, + "loss": 0.6279, + "step": 30005 + }, + { + "epoch": 0.88, + "learning_rate": 3.6349478897931836e-07, + "loss": 0.7329, + "step": 30006 + }, + { + "epoch": 0.88, + "learning_rate": 3.633167221191758e-07, + "loss": 0.7313, + "step": 30007 + }, + { + "epoch": 0.88, + "learning_rate": 3.631386972405648e-07, + "loss": 0.5157, + "step": 30008 + }, + { + "epoch": 0.88, + "learning_rate": 3.6296071434509526e-07, + "loss": 0.7513, + "step": 30009 + }, + { + "epoch": 0.88, + "learning_rate": 3.6278277343437975e-07, + "loss": 0.4709, + "step": 30010 + }, + { + "epoch": 0.88, + "learning_rate": 3.626048745100286e-07, + "loss": 0.8171, + "step": 30011 + }, + { + "epoch": 0.88, + "learning_rate": 3.624270175736533e-07, + "loss": 0.8769, + "step": 30012 + }, + { + "epoch": 0.88, + "learning_rate": 3.6224920262686317e-07, + "loss": 0.8754, + "step": 30013 + }, + { + "epoch": 0.88, + "learning_rate": 3.6207142967126965e-07, + "loss": 0.8709, + "step": 30014 + }, + { + "epoch": 0.88, + "learning_rate": 3.6189369870848037e-07, + "loss": 0.7707, + "step": 30015 + }, + { + "epoch": 0.88, + "learning_rate": 3.617160097401057e-07, + "loss": 0.8659, + "step": 30016 + }, + { + "epoch": 0.88, + "learning_rate": 3.6153836276775546e-07, + "loss": 0.5323, + "step": 30017 + }, + { + "epoch": 0.88, + "learning_rate": 3.613607577930361e-07, + "loss": 0.7571, + "step": 30018 + }, + { + "epoch": 0.88, + "learning_rate": 3.611831948175576e-07, + "loss": 0.8637, + "step": 30019 + }, + { + "epoch": 0.88, + "learning_rate": 3.6100567384292627e-07, + "loss": 0.8378, + "step": 30020 + }, + { + "epoch": 0.88, + "learning_rate": 3.608281948707504e-07, + "loss": 0.7584, + "step": 30021 + }, + { + "epoch": 0.88, + "learning_rate": 3.6065075790263524e-07, + "loss": 0.7582, + "step": 30022 + }, + { + "epoch": 0.88, + "learning_rate": 3.6047336294018965e-07, + "loss": 0.8705, + "step": 30023 + }, + { + "epoch": 0.88, + "learning_rate": 3.6029600998501837e-07, + "loss": 0.8195, + "step": 30024 + }, + { + "epoch": 0.88, + "learning_rate": 3.6011869903872673e-07, + "loss": 0.7428, + "step": 30025 + }, + { + "epoch": 0.88, + "learning_rate": 3.5994143010292136e-07, + "loss": 0.7376, + "step": 30026 + }, + { + "epoch": 0.88, + "learning_rate": 3.59764203179207e-07, + "loss": 0.765, + "step": 30027 + }, + { + "epoch": 0.88, + "learning_rate": 3.5958701826918796e-07, + "loss": 0.631, + "step": 30028 + }, + { + "epoch": 0.88, + "learning_rate": 3.594098753744696e-07, + "loss": 0.5057, + "step": 30029 + }, + { + "epoch": 0.88, + "learning_rate": 3.592327744966534e-07, + "loss": 0.7576, + "step": 30030 + }, + { + "epoch": 0.88, + "learning_rate": 3.5905571563734587e-07, + "loss": 0.685, + "step": 30031 + }, + { + "epoch": 0.88, + "learning_rate": 3.5887869879814743e-07, + "loss": 0.8894, + "step": 30032 + }, + { + "epoch": 0.88, + "learning_rate": 3.5870172398066283e-07, + "loss": 0.7573, + "step": 30033 + }, + { + "epoch": 0.88, + "learning_rate": 3.5852479118649307e-07, + "loss": 0.7328, + "step": 30034 + }, + { + "epoch": 0.88, + "learning_rate": 3.583479004172402e-07, + "loss": 0.8797, + "step": 30035 + }, + { + "epoch": 0.88, + "learning_rate": 3.581710516745074e-07, + "loss": 0.7035, + "step": 30036 + }, + { + "epoch": 0.88, + "learning_rate": 3.5799424495989446e-07, + "loss": 0.882, + "step": 30037 + }, + { + "epoch": 0.88, + "learning_rate": 3.5781748027500283e-07, + "loss": 0.7495, + "step": 30038 + }, + { + "epoch": 0.88, + "learning_rate": 3.5764075762143193e-07, + "loss": 0.9228, + "step": 30039 + }, + { + "epoch": 0.88, + "learning_rate": 3.5746407700078366e-07, + "loss": 0.7758, + "step": 30040 + }, + { + "epoch": 0.88, + "learning_rate": 3.572874384146563e-07, + "loss": 0.6807, + "step": 30041 + }, + { + "epoch": 0.88, + "learning_rate": 3.571108418646496e-07, + "loss": 0.5954, + "step": 30042 + }, + { + "epoch": 0.88, + "learning_rate": 3.5693428735236236e-07, + "loss": 0.7362, + "step": 30043 + }, + { + "epoch": 0.88, + "learning_rate": 3.567577748793932e-07, + "loss": 0.6619, + "step": 30044 + }, + { + "epoch": 0.88, + "learning_rate": 3.5658130444733986e-07, + "loss": 0.6312, + "step": 30045 + }, + { + "epoch": 0.88, + "learning_rate": 3.5640487605780205e-07, + "loss": 0.5539, + "step": 30046 + }, + { + "epoch": 0.88, + "learning_rate": 3.5622848971237465e-07, + "loss": 0.5959, + "step": 30047 + }, + { + "epoch": 0.88, + "learning_rate": 3.56052145412657e-07, + "loss": 0.7461, + "step": 30048 + }, + { + "epoch": 0.88, + "learning_rate": 3.5587584316024327e-07, + "loss": 0.7409, + "step": 30049 + }, + { + "epoch": 0.88, + "learning_rate": 3.5569958295673225e-07, + "loss": 0.5972, + "step": 30050 + }, + { + "epoch": 0.88, + "learning_rate": 3.555233648037182e-07, + "loss": 0.6026, + "step": 30051 + }, + { + "epoch": 0.88, + "learning_rate": 3.5534718870279703e-07, + "loss": 0.7789, + "step": 30052 + }, + { + "epoch": 0.88, + "learning_rate": 3.5517105465556367e-07, + "loss": 0.7596, + "step": 30053 + }, + { + "epoch": 0.88, + "learning_rate": 3.5499496266361345e-07, + "loss": 0.7031, + "step": 30054 + }, + { + "epoch": 0.88, + "learning_rate": 3.5481891272854063e-07, + "loss": 0.786, + "step": 30055 + }, + { + "epoch": 0.88, + "learning_rate": 3.5464290485193897e-07, + "loss": 0.7792, + "step": 30056 + }, + { + "epoch": 0.88, + "learning_rate": 3.544669390354022e-07, + "loss": 0.7538, + "step": 30057 + }, + { + "epoch": 0.88, + "learning_rate": 3.542910152805229e-07, + "loss": 0.9393, + "step": 30058 + }, + { + "epoch": 0.88, + "learning_rate": 3.541151335888959e-07, + "loss": 0.9194, + "step": 30059 + }, + { + "epoch": 0.88, + "learning_rate": 3.5393929396211056e-07, + "loss": 0.6204, + "step": 30060 + }, + { + "epoch": 0.88, + "learning_rate": 3.537634964017622e-07, + "loss": 0.6182, + "step": 30061 + }, + { + "epoch": 0.88, + "learning_rate": 3.5358774090944015e-07, + "loss": 0.6419, + "step": 30062 + }, + { + "epoch": 0.88, + "learning_rate": 3.53412027486737e-07, + "loss": 0.6968, + "step": 30063 + }, + { + "epoch": 0.88, + "learning_rate": 3.5323635613524196e-07, + "loss": 0.737, + "step": 30064 + }, + { + "epoch": 0.88, + "learning_rate": 3.5306072685654836e-07, + "loss": 0.9259, + "step": 30065 + }, + { + "epoch": 0.88, + "learning_rate": 3.5288513965224425e-07, + "loss": 0.8426, + "step": 30066 + }, + { + "epoch": 0.88, + "learning_rate": 3.5270959452392116e-07, + "loss": 0.9005, + "step": 30067 + }, + { + "epoch": 0.88, + "learning_rate": 3.5253409147316675e-07, + "loss": 0.6688, + "step": 30068 + }, + { + "epoch": 0.88, + "learning_rate": 3.523586305015714e-07, + "loss": 0.675, + "step": 30069 + }, + { + "epoch": 0.88, + "learning_rate": 3.521832116107227e-07, + "loss": 0.8834, + "step": 30070 + }, + { + "epoch": 0.88, + "learning_rate": 3.520078348022099e-07, + "loss": 0.6269, + "step": 30071 + }, + { + "epoch": 0.88, + "learning_rate": 3.518325000776196e-07, + "loss": 0.748, + "step": 30072 + }, + { + "epoch": 0.88, + "learning_rate": 3.5165720743854103e-07, + "loss": 0.5811, + "step": 30073 + }, + { + "epoch": 0.88, + "learning_rate": 3.514819568865596e-07, + "loss": 0.6096, + "step": 30074 + }, + { + "epoch": 0.88, + "learning_rate": 3.5130674842326294e-07, + "loss": 0.6291, + "step": 30075 + }, + { + "epoch": 0.88, + "learning_rate": 3.511315820502381e-07, + "loss": 0.5873, + "step": 30076 + }, + { + "epoch": 0.88, + "learning_rate": 3.5095645776906994e-07, + "loss": 0.7964, + "step": 30077 + }, + { + "epoch": 0.88, + "learning_rate": 3.5078137558134495e-07, + "loss": 0.4651, + "step": 30078 + }, + { + "epoch": 0.88, + "learning_rate": 3.506063354886469e-07, + "loss": 0.7276, + "step": 30079 + }, + { + "epoch": 0.88, + "learning_rate": 3.5043133749256276e-07, + "loss": 0.6793, + "step": 30080 + }, + { + "epoch": 0.88, + "learning_rate": 3.502563815946752e-07, + "loss": 0.6255, + "step": 30081 + }, + { + "epoch": 0.88, + "learning_rate": 3.500814677965697e-07, + "loss": 0.6673, + "step": 30082 + }, + { + "epoch": 0.88, + "learning_rate": 3.4990659609982826e-07, + "loss": 0.587, + "step": 30083 + }, + { + "epoch": 0.88, + "learning_rate": 3.497317665060357e-07, + "loss": 0.8558, + "step": 30084 + }, + { + "epoch": 0.88, + "learning_rate": 3.495569790167741e-07, + "loss": 0.6266, + "step": 30085 + }, + { + "epoch": 0.88, + "learning_rate": 3.493822336336272e-07, + "loss": 0.6209, + "step": 30086 + }, + { + "epoch": 0.88, + "learning_rate": 3.4920753035817543e-07, + "loss": 0.6505, + "step": 30087 + }, + { + "epoch": 0.88, + "learning_rate": 3.4903286919200254e-07, + "loss": 0.6781, + "step": 30088 + }, + { + "epoch": 0.88, + "learning_rate": 3.4885825013668827e-07, + "loss": 0.612, + "step": 30089 + }, + { + "epoch": 0.88, + "learning_rate": 3.486836731938148e-07, + "loss": 0.4525, + "step": 30090 + }, + { + "epoch": 0.88, + "learning_rate": 3.485091383649619e-07, + "loss": 0.6371, + "step": 30091 + }, + { + "epoch": 0.88, + "learning_rate": 3.4833464565171113e-07, + "loss": 0.8331, + "step": 30092 + }, + { + "epoch": 0.88, + "learning_rate": 3.481601950556407e-07, + "loss": 0.7871, + "step": 30093 + }, + { + "epoch": 0.88, + "learning_rate": 3.479857865783304e-07, + "loss": 0.7187, + "step": 30094 + }, + { + "epoch": 0.88, + "learning_rate": 3.4781142022136116e-07, + "loss": 0.7278, + "step": 30095 + }, + { + "epoch": 0.88, + "learning_rate": 3.476370959863096e-07, + "loss": 0.6757, + "step": 30096 + }, + { + "epoch": 0.88, + "learning_rate": 3.47462813874756e-07, + "loss": 0.8238, + "step": 30097 + }, + { + "epoch": 0.88, + "learning_rate": 3.472885738882764e-07, + "loss": 1.0346, + "step": 30098 + }, + { + "epoch": 0.88, + "learning_rate": 3.471143760284501e-07, + "loss": 0.6101, + "step": 30099 + }, + { + "epoch": 0.88, + "learning_rate": 3.469402202968525e-07, + "loss": 0.8735, + "step": 30100 + }, + { + "epoch": 0.88, + "learning_rate": 3.467661066950623e-07, + "loss": 0.447, + "step": 30101 + }, + { + "epoch": 0.88, + "learning_rate": 3.465920352246549e-07, + "loss": 0.5381, + "step": 30102 + }, + { + "epoch": 0.88, + "learning_rate": 3.464180058872069e-07, + "loss": 0.6685, + "step": 30103 + }, + { + "epoch": 0.88, + "learning_rate": 3.462440186842925e-07, + "loss": 0.7393, + "step": 30104 + }, + { + "epoch": 0.88, + "learning_rate": 3.460700736174899e-07, + "loss": 0.9314, + "step": 30105 + }, + { + "epoch": 0.88, + "learning_rate": 3.458961706883712e-07, + "loss": 0.7646, + "step": 30106 + }, + { + "epoch": 0.88, + "learning_rate": 3.45722309898513e-07, + "loss": 0.7188, + "step": 30107 + }, + { + "epoch": 0.88, + "learning_rate": 3.455484912494883e-07, + "loss": 0.6227, + "step": 30108 + }, + { + "epoch": 0.88, + "learning_rate": 3.4537471474287153e-07, + "loss": 0.642, + "step": 30109 + }, + { + "epoch": 0.88, + "learning_rate": 3.452009803802353e-07, + "loss": 0.8463, + "step": 30110 + }, + { + "epoch": 0.88, + "learning_rate": 3.4502728816315334e-07, + "loss": 0.7781, + "step": 30111 + }, + { + "epoch": 0.88, + "learning_rate": 3.448536380931977e-07, + "loss": 0.8723, + "step": 30112 + }, + { + "epoch": 0.88, + "learning_rate": 3.4468003017194106e-07, + "loss": 0.6286, + "step": 30113 + }, + { + "epoch": 0.88, + "learning_rate": 3.44506464400956e-07, + "loss": 0.7631, + "step": 30114 + }, + { + "epoch": 0.88, + "learning_rate": 3.4433294078181245e-07, + "loss": 0.6986, + "step": 30115 + }, + { + "epoch": 0.88, + "learning_rate": 3.441594593160835e-07, + "loss": 0.5802, + "step": 30116 + }, + { + "epoch": 0.88, + "learning_rate": 3.4398602000533743e-07, + "loss": 0.9091, + "step": 30117 + }, + { + "epoch": 0.88, + "learning_rate": 3.4381262285114735e-07, + "loss": 0.7864, + "step": 30118 + }, + { + "epoch": 0.88, + "learning_rate": 3.436392678550804e-07, + "loss": 0.6038, + "step": 30119 + }, + { + "epoch": 0.88, + "learning_rate": 3.434659550187086e-07, + "loss": 0.66, + "step": 30120 + }, + { + "epoch": 0.88, + "learning_rate": 3.4329268434359965e-07, + "loss": 0.7739, + "step": 30121 + }, + { + "epoch": 0.88, + "learning_rate": 3.4311945583132334e-07, + "loss": 0.5795, + "step": 30122 + }, + { + "epoch": 0.88, + "learning_rate": 3.4294626948344565e-07, + "loss": 0.8162, + "step": 30123 + }, + { + "epoch": 0.89, + "learning_rate": 3.427731253015387e-07, + "loss": 0.6197, + "step": 30124 + }, + { + "epoch": 0.89, + "learning_rate": 3.4260002328716734e-07, + "loss": 0.5606, + "step": 30125 + }, + { + "epoch": 0.89, + "learning_rate": 3.4242696344190087e-07, + "loss": 0.7579, + "step": 30126 + }, + { + "epoch": 0.89, + "learning_rate": 3.4225394576730354e-07, + "loss": 0.8146, + "step": 30127 + }, + { + "epoch": 0.89, + "learning_rate": 3.4208097026494415e-07, + "loss": 0.7752, + "step": 30128 + }, + { + "epoch": 0.89, + "learning_rate": 3.419080369363875e-07, + "loss": 0.7477, + "step": 30129 + }, + { + "epoch": 0.89, + "learning_rate": 3.4173514578320076e-07, + "loss": 0.7095, + "step": 30130 + }, + { + "epoch": 0.89, + "learning_rate": 3.4156229680694766e-07, + "loss": 0.8466, + "step": 30131 + }, + { + "epoch": 0.89, + "learning_rate": 3.413894900091952e-07, + "loss": 0.7857, + "step": 30132 + }, + { + "epoch": 0.89, + "learning_rate": 3.412167253915055e-07, + "loss": 0.797, + "step": 30133 + }, + { + "epoch": 0.89, + "learning_rate": 3.4104400295544406e-07, + "loss": 0.6623, + "step": 30134 + }, + { + "epoch": 0.89, + "learning_rate": 3.408713227025762e-07, + "loss": 0.8205, + "step": 30135 + }, + { + "epoch": 0.89, + "learning_rate": 3.4069868463446285e-07, + "loss": 0.7646, + "step": 30136 + }, + { + "epoch": 0.89, + "learning_rate": 3.40526088752669e-07, + "loss": 0.8257, + "step": 30137 + }, + { + "epoch": 0.89, + "learning_rate": 3.4035353505875615e-07, + "loss": 0.7908, + "step": 30138 + }, + { + "epoch": 0.89, + "learning_rate": 3.4018102355428796e-07, + "loss": 0.8162, + "step": 30139 + }, + { + "epoch": 0.89, + "learning_rate": 3.4000855424082437e-07, + "loss": 0.7199, + "step": 30140 + }, + { + "epoch": 0.89, + "learning_rate": 3.3983612711992963e-07, + "loss": 0.8028, + "step": 30141 + }, + { + "epoch": 0.89, + "learning_rate": 3.3966374219316256e-07, + "loss": 0.8353, + "step": 30142 + }, + { + "epoch": 0.89, + "learning_rate": 3.3949139946208466e-07, + "loss": 0.428, + "step": 30143 + }, + { + "epoch": 0.89, + "learning_rate": 3.393190989282563e-07, + "loss": 0.4393, + "step": 30144 + }, + { + "epoch": 0.89, + "learning_rate": 3.391468405932391e-07, + "loss": 0.6736, + "step": 30145 + }, + { + "epoch": 0.89, + "learning_rate": 3.3897462445859064e-07, + "loss": 0.9923, + "step": 30146 + }, + { + "epoch": 0.89, + "learning_rate": 3.3880245052587134e-07, + "loss": 0.7888, + "step": 30147 + }, + { + "epoch": 0.89, + "learning_rate": 3.3863031879663946e-07, + "loss": 0.6185, + "step": 30148 + }, + { + "epoch": 0.89, + "learning_rate": 3.384582292724542e-07, + "loss": 0.6045, + "step": 30149 + }, + { + "epoch": 0.89, + "learning_rate": 3.3828618195487275e-07, + "loss": 0.8877, + "step": 30150 + }, + { + "epoch": 0.89, + "learning_rate": 3.3811417684545435e-07, + "loss": 0.6651, + "step": 30151 + }, + { + "epoch": 0.89, + "learning_rate": 3.3794221394575443e-07, + "loss": 0.6542, + "step": 30152 + }, + { + "epoch": 0.89, + "learning_rate": 3.3777029325733125e-07, + "loss": 0.7509, + "step": 30153 + }, + { + "epoch": 0.89, + "learning_rate": 3.375984147817418e-07, + "loss": 0.9918, + "step": 30154 + }, + { + "epoch": 0.89, + "learning_rate": 3.374265785205405e-07, + "loss": 0.8854, + "step": 30155 + }, + { + "epoch": 0.89, + "learning_rate": 3.3725478447528546e-07, + "loss": 0.7249, + "step": 30156 + }, + { + "epoch": 0.89, + "learning_rate": 3.370830326475305e-07, + "loss": 0.7416, + "step": 30157 + }, + { + "epoch": 0.89, + "learning_rate": 3.3691132303883154e-07, + "loss": 0.8586, + "step": 30158 + }, + { + "epoch": 0.89, + "learning_rate": 3.3673965565074296e-07, + "loss": 0.4415, + "step": 30159 + }, + { + "epoch": 0.89, + "learning_rate": 3.36568030484819e-07, + "loss": 0.5527, + "step": 30160 + }, + { + "epoch": 0.89, + "learning_rate": 3.363964475426135e-07, + "loss": 0.7163, + "step": 30161 + }, + { + "epoch": 0.89, + "learning_rate": 3.3622490682568066e-07, + "loss": 0.5165, + "step": 30162 + }, + { + "epoch": 0.89, + "learning_rate": 3.3605340833557155e-07, + "loss": 0.6531, + "step": 30163 + }, + { + "epoch": 0.89, + "learning_rate": 3.3588195207384264e-07, + "loss": 0.6362, + "step": 30164 + }, + { + "epoch": 0.89, + "learning_rate": 3.3571053804204277e-07, + "loss": 0.5363, + "step": 30165 + }, + { + "epoch": 0.89, + "learning_rate": 3.355391662417268e-07, + "loss": 0.6983, + "step": 30166 + }, + { + "epoch": 0.89, + "learning_rate": 3.3536783667444395e-07, + "loss": 0.665, + "step": 30167 + }, + { + "epoch": 0.89, + "learning_rate": 3.351965493417475e-07, + "loss": 0.8115, + "step": 30168 + }, + { + "epoch": 0.89, + "learning_rate": 3.350253042451868e-07, + "loss": 0.6731, + "step": 30169 + }, + { + "epoch": 0.89, + "learning_rate": 3.3485410138631326e-07, + "loss": 0.9587, + "step": 30170 + }, + { + "epoch": 0.89, + "learning_rate": 3.346829407666763e-07, + "loss": 0.7338, + "step": 30171 + }, + { + "epoch": 0.89, + "learning_rate": 3.345118223878263e-07, + "loss": 0.7374, + "step": 30172 + }, + { + "epoch": 0.89, + "learning_rate": 3.343407462513121e-07, + "loss": 0.6065, + "step": 30173 + }, + { + "epoch": 0.89, + "learning_rate": 3.3416971235868234e-07, + "loss": 0.7313, + "step": 30174 + }, + { + "epoch": 0.89, + "learning_rate": 3.33998720711487e-07, + "loss": 0.7578, + "step": 30175 + }, + { + "epoch": 0.89, + "learning_rate": 3.338277713112725e-07, + "loss": 0.5424, + "step": 30176 + }, + { + "epoch": 0.89, + "learning_rate": 3.336568641595889e-07, + "loss": 0.5753, + "step": 30177 + }, + { + "epoch": 0.89, + "learning_rate": 3.3348599925798087e-07, + "loss": 0.7736, + "step": 30178 + }, + { + "epoch": 0.89, + "learning_rate": 3.3331517660799786e-07, + "loss": 0.4171, + "step": 30179 + }, + { + "epoch": 0.89, + "learning_rate": 3.331443962111847e-07, + "loss": 0.53, + "step": 30180 + }, + { + "epoch": 0.89, + "learning_rate": 3.32973658069089e-07, + "loss": 0.8686, + "step": 30181 + }, + { + "epoch": 0.89, + "learning_rate": 3.328029621832551e-07, + "loss": 0.6819, + "step": 30182 + }, + { + "epoch": 0.89, + "learning_rate": 3.326323085552308e-07, + "loss": 0.6834, + "step": 30183 + }, + { + "epoch": 0.89, + "learning_rate": 3.324616971865596e-07, + "loss": 0.9499, + "step": 30184 + }, + { + "epoch": 0.89, + "learning_rate": 3.322911280787872e-07, + "loss": 0.7969, + "step": 30185 + }, + { + "epoch": 0.89, + "learning_rate": 3.3212060123345657e-07, + "loss": 0.6347, + "step": 30186 + }, + { + "epoch": 0.89, + "learning_rate": 3.319501166521133e-07, + "loss": 0.6284, + "step": 30187 + }, + { + "epoch": 0.89, + "learning_rate": 3.317796743363e-07, + "loss": 0.7113, + "step": 30188 + }, + { + "epoch": 0.89, + "learning_rate": 3.316092742875604e-07, + "loss": 0.6318, + "step": 30189 + }, + { + "epoch": 0.89, + "learning_rate": 3.3143891650743663e-07, + "loss": 0.6641, + "step": 30190 + }, + { + "epoch": 0.89, + "learning_rate": 3.3126860099747196e-07, + "loss": 1.0246, + "step": 30191 + }, + { + "epoch": 0.89, + "learning_rate": 3.310983277592078e-07, + "loss": 0.6938, + "step": 30192 + }, + { + "epoch": 0.89, + "learning_rate": 3.309280967941858e-07, + "loss": 0.4435, + "step": 30193 + }, + { + "epoch": 0.89, + "learning_rate": 3.307579081039486e-07, + "loss": 0.4563, + "step": 30194 + }, + { + "epoch": 0.89, + "learning_rate": 3.3058776169003547e-07, + "loss": 0.6901, + "step": 30195 + }, + { + "epoch": 0.89, + "learning_rate": 3.30417657553988e-07, + "loss": 0.7076, + "step": 30196 + }, + { + "epoch": 0.89, + "learning_rate": 3.3024759569734554e-07, + "loss": 0.7676, + "step": 30197 + }, + { + "epoch": 0.89, + "learning_rate": 3.30077576121649e-07, + "loss": 0.7928, + "step": 30198 + }, + { + "epoch": 0.89, + "learning_rate": 3.2990759882843617e-07, + "loss": 0.668, + "step": 30199 + }, + { + "epoch": 0.89, + "learning_rate": 3.2973766381924786e-07, + "loss": 0.8325, + "step": 30200 + }, + { + "epoch": 0.89, + "learning_rate": 3.295677710956208e-07, + "loss": 1.008, + "step": 30201 + }, + { + "epoch": 0.89, + "learning_rate": 3.293979206590947e-07, + "loss": 0.54, + "step": 30202 + }, + { + "epoch": 0.89, + "learning_rate": 3.292281125112068e-07, + "loss": 0.9257, + "step": 30203 + }, + { + "epoch": 0.89, + "learning_rate": 3.2905834665349523e-07, + "loss": 0.9203, + "step": 30204 + }, + { + "epoch": 0.89, + "learning_rate": 3.28888623087496e-07, + "loss": 0.4249, + "step": 30205 + }, + { + "epoch": 0.89, + "learning_rate": 3.287189418147474e-07, + "loss": 0.9158, + "step": 30206 + }, + { + "epoch": 0.89, + "learning_rate": 3.2854930283678366e-07, + "loss": 0.5837, + "step": 30207 + }, + { + "epoch": 0.89, + "learning_rate": 3.2837970615514306e-07, + "loss": 0.7521, + "step": 30208 + }, + { + "epoch": 0.89, + "learning_rate": 3.282101517713587e-07, + "loss": 0.6053, + "step": 30209 + }, + { + "epoch": 0.89, + "learning_rate": 3.2804063968696787e-07, + "loss": 0.7192, + "step": 30210 + }, + { + "epoch": 0.89, + "learning_rate": 3.2787116990350367e-07, + "loss": 0.6942, + "step": 30211 + }, + { + "epoch": 0.89, + "learning_rate": 3.2770174242250154e-07, + "loss": 0.7654, + "step": 30212 + }, + { + "epoch": 0.89, + "learning_rate": 3.2753235724549635e-07, + "loss": 0.7104, + "step": 30213 + }, + { + "epoch": 0.89, + "learning_rate": 3.2736301437401975e-07, + "loss": 0.8412, + "step": 30214 + }, + { + "epoch": 0.89, + "learning_rate": 3.271937138096065e-07, + "loss": 0.5526, + "step": 30215 + }, + { + "epoch": 0.89, + "learning_rate": 3.270244555537888e-07, + "loss": 0.6786, + "step": 30216 + }, + { + "epoch": 0.89, + "learning_rate": 3.268552396080998e-07, + "loss": 0.7654, + "step": 30217 + }, + { + "epoch": 0.89, + "learning_rate": 3.2668606597407004e-07, + "loss": 0.5461, + "step": 30218 + }, + { + "epoch": 0.89, + "learning_rate": 3.2651693465323375e-07, + "loss": 0.7604, + "step": 30219 + }, + { + "epoch": 0.89, + "learning_rate": 3.2634784564711975e-07, + "loss": 0.9194, + "step": 30220 + }, + { + "epoch": 0.89, + "learning_rate": 3.261787989572607e-07, + "loss": 1.0115, + "step": 30221 + }, + { + "epoch": 0.89, + "learning_rate": 3.2600979458518535e-07, + "loss": 0.7854, + "step": 30222 + }, + { + "epoch": 0.89, + "learning_rate": 3.258408325324269e-07, + "loss": 0.6469, + "step": 30223 + }, + { + "epoch": 0.89, + "learning_rate": 3.256719128005126e-07, + "loss": 0.6379, + "step": 30224 + }, + { + "epoch": 0.89, + "learning_rate": 3.2550303539097325e-07, + "loss": 0.7891, + "step": 30225 + }, + { + "epoch": 0.89, + "learning_rate": 3.253342003053367e-07, + "loss": 0.7782, + "step": 30226 + }, + { + "epoch": 0.89, + "learning_rate": 3.2516540754513326e-07, + "loss": 0.7833, + "step": 30227 + }, + { + "epoch": 0.89, + "learning_rate": 3.24996657111889e-07, + "loss": 0.7456, + "step": 30228 + }, + { + "epoch": 0.89, + "learning_rate": 3.2482794900713435e-07, + "loss": 0.927, + "step": 30229 + }, + { + "epoch": 0.89, + "learning_rate": 3.246592832323947e-07, + "loss": 0.8092, + "step": 30230 + }, + { + "epoch": 0.89, + "learning_rate": 3.2449065978919894e-07, + "loss": 0.5743, + "step": 30231 + }, + { + "epoch": 0.89, + "learning_rate": 3.243220786790713e-07, + "loss": 0.8375, + "step": 30232 + }, + { + "epoch": 0.89, + "learning_rate": 3.2415353990354114e-07, + "loss": 0.6305, + "step": 30233 + }, + { + "epoch": 0.89, + "learning_rate": 3.2398504346413286e-07, + "loss": 0.6691, + "step": 30234 + }, + { + "epoch": 0.89, + "learning_rate": 3.2381658936237235e-07, + "loss": 0.7631, + "step": 30235 + }, + { + "epoch": 0.89, + "learning_rate": 3.2364817759978463e-07, + "loss": 0.7549, + "step": 30236 + }, + { + "epoch": 0.89, + "learning_rate": 3.2347980817789505e-07, + "loss": 0.9649, + "step": 30237 + }, + { + "epoch": 0.89, + "learning_rate": 3.233114810982274e-07, + "loss": 0.5165, + "step": 30238 + }, + { + "epoch": 0.89, + "learning_rate": 3.231431963623061e-07, + "loss": 0.7528, + "step": 30239 + }, + { + "epoch": 0.89, + "learning_rate": 3.229749539716553e-07, + "loss": 0.7549, + "step": 30240 + }, + { + "epoch": 0.89, + "learning_rate": 3.2280675392779626e-07, + "loss": 0.7252, + "step": 30241 + }, + { + "epoch": 0.89, + "learning_rate": 3.226385962322548e-07, + "loss": 0.7543, + "step": 30242 + }, + { + "epoch": 0.89, + "learning_rate": 3.224704808865514e-07, + "loss": 0.6587, + "step": 30243 + }, + { + "epoch": 0.89, + "learning_rate": 3.2230240789220936e-07, + "loss": 0.6071, + "step": 30244 + }, + { + "epoch": 0.89, + "learning_rate": 3.221343772507496e-07, + "loss": 0.5986, + "step": 30245 + }, + { + "epoch": 0.89, + "learning_rate": 3.219663889636948e-07, + "loss": 0.5859, + "step": 30246 + }, + { + "epoch": 0.89, + "learning_rate": 3.217984430325638e-07, + "loss": 0.7976, + "step": 30247 + }, + { + "epoch": 0.89, + "learning_rate": 3.2163053945887925e-07, + "loss": 0.863, + "step": 30248 + }, + { + "epoch": 0.89, + "learning_rate": 3.214626782441604e-07, + "loss": 0.8806, + "step": 30249 + }, + { + "epoch": 0.89, + "learning_rate": 3.212948593899273e-07, + "loss": 0.9914, + "step": 30250 + }, + { + "epoch": 0.89, + "learning_rate": 3.2112708289769867e-07, + "loss": 0.622, + "step": 30251 + }, + { + "epoch": 0.89, + "learning_rate": 3.209593487689955e-07, + "loss": 0.4926, + "step": 30252 + }, + { + "epoch": 0.89, + "learning_rate": 3.2079165700533433e-07, + "loss": 0.8309, + "step": 30253 + }, + { + "epoch": 0.89, + "learning_rate": 3.206240076082356e-07, + "loss": 0.665, + "step": 30254 + }, + { + "epoch": 0.89, + "learning_rate": 3.2045640057921544e-07, + "loss": 0.7434, + "step": 30255 + }, + { + "epoch": 0.89, + "learning_rate": 3.202888359197925e-07, + "loss": 0.6367, + "step": 30256 + }, + { + "epoch": 0.89, + "learning_rate": 3.201213136314829e-07, + "loss": 0.9708, + "step": 30257 + }, + { + "epoch": 0.89, + "learning_rate": 3.199538337158048e-07, + "loss": 0.8112, + "step": 30258 + }, + { + "epoch": 0.89, + "learning_rate": 3.197863961742731e-07, + "loss": 0.5707, + "step": 30259 + }, + { + "epoch": 0.89, + "learning_rate": 3.196190010084055e-07, + "loss": 0.7981, + "step": 30260 + }, + { + "epoch": 0.89, + "learning_rate": 3.194516482197163e-07, + "loss": 0.5391, + "step": 30261 + }, + { + "epoch": 0.89, + "learning_rate": 3.1928433780972045e-07, + "loss": 0.8106, + "step": 30262 + }, + { + "epoch": 0.89, + "learning_rate": 3.191170697799345e-07, + "loss": 0.7661, + "step": 30263 + }, + { + "epoch": 0.89, + "learning_rate": 3.189498441318711e-07, + "loss": 0.835, + "step": 30264 + }, + { + "epoch": 0.89, + "learning_rate": 3.1878266086704634e-07, + "loss": 0.82, + "step": 30265 + }, + { + "epoch": 0.89, + "learning_rate": 3.186155199869717e-07, + "loss": 0.7949, + "step": 30266 + }, + { + "epoch": 0.89, + "learning_rate": 3.184484214931627e-07, + "loss": 0.8361, + "step": 30267 + }, + { + "epoch": 0.89, + "learning_rate": 3.1828136538713026e-07, + "loss": 0.9283, + "step": 30268 + }, + { + "epoch": 0.89, + "learning_rate": 3.181143516703883e-07, + "loss": 0.556, + "step": 30269 + }, + { + "epoch": 0.89, + "learning_rate": 3.1794738034444826e-07, + "loss": 0.5772, + "step": 30270 + }, + { + "epoch": 0.89, + "learning_rate": 3.177804514108218e-07, + "loss": 0.8045, + "step": 30271 + }, + { + "epoch": 0.89, + "learning_rate": 3.1761356487102103e-07, + "loss": 0.7477, + "step": 30272 + }, + { + "epoch": 0.89, + "learning_rate": 3.174467207265575e-07, + "loss": 0.9473, + "step": 30273 + }, + { + "epoch": 0.89, + "learning_rate": 3.172799189789405e-07, + "loss": 0.6868, + "step": 30274 + }, + { + "epoch": 0.89, + "learning_rate": 3.1711315962968115e-07, + "loss": 0.7611, + "step": 30275 + }, + { + "epoch": 0.89, + "learning_rate": 3.1694644268028874e-07, + "loss": 0.8902, + "step": 30276 + }, + { + "epoch": 0.89, + "learning_rate": 3.1677976813227374e-07, + "loss": 0.6838, + "step": 30277 + }, + { + "epoch": 0.89, + "learning_rate": 3.166131359871433e-07, + "loss": 0.8061, + "step": 30278 + }, + { + "epoch": 0.89, + "learning_rate": 3.164465462464089e-07, + "loss": 0.7119, + "step": 30279 + }, + { + "epoch": 0.89, + "learning_rate": 3.1627999891157613e-07, + "loss": 0.8209, + "step": 30280 + }, + { + "epoch": 0.89, + "learning_rate": 3.1611349398415425e-07, + "loss": 0.678, + "step": 30281 + }, + { + "epoch": 0.89, + "learning_rate": 3.1594703146565207e-07, + "loss": 0.6695, + "step": 30282 + }, + { + "epoch": 0.89, + "learning_rate": 3.15780611357574e-07, + "loss": 0.6433, + "step": 30283 + }, + { + "epoch": 0.89, + "learning_rate": 3.156142336614298e-07, + "loss": 0.5594, + "step": 30284 + }, + { + "epoch": 0.89, + "learning_rate": 3.154478983787229e-07, + "loss": 0.8926, + "step": 30285 + }, + { + "epoch": 0.89, + "learning_rate": 3.152816055109625e-07, + "loss": 0.7419, + "step": 30286 + }, + { + "epoch": 0.89, + "learning_rate": 3.151153550596514e-07, + "loss": 0.7392, + "step": 30287 + }, + { + "epoch": 0.89, + "learning_rate": 3.1494914702629664e-07, + "loss": 0.8054, + "step": 30288 + }, + { + "epoch": 0.89, + "learning_rate": 3.1478298141240206e-07, + "loss": 0.9032, + "step": 30289 + }, + { + "epoch": 0.89, + "learning_rate": 3.1461685821947363e-07, + "loss": 0.6596, + "step": 30290 + }, + { + "epoch": 0.89, + "learning_rate": 3.144507774490124e-07, + "loss": 0.6258, + "step": 30291 + }, + { + "epoch": 0.89, + "learning_rate": 3.142847391025261e-07, + "loss": 0.9085, + "step": 30292 + }, + { + "epoch": 0.89, + "learning_rate": 3.1411874318151514e-07, + "loss": 0.7508, + "step": 30293 + }, + { + "epoch": 0.89, + "learning_rate": 3.13952789687485e-07, + "loss": 0.5682, + "step": 30294 + }, + { + "epoch": 0.89, + "learning_rate": 3.13786878621935e-07, + "loss": 0.7515, + "step": 30295 + }, + { + "epoch": 0.89, + "learning_rate": 3.136210099863707e-07, + "loss": 0.7426, + "step": 30296 + }, + { + "epoch": 0.89, + "learning_rate": 3.134551837822908e-07, + "loss": 0.6496, + "step": 30297 + }, + { + "epoch": 0.89, + "learning_rate": 3.132894000111997e-07, + "loss": 0.632, + "step": 30298 + }, + { + "epoch": 0.89, + "learning_rate": 3.131236586745956e-07, + "loss": 0.5559, + "step": 30299 + }, + { + "epoch": 0.89, + "learning_rate": 3.129579597739818e-07, + "loss": 0.477, + "step": 30300 + }, + { + "epoch": 0.89, + "learning_rate": 3.127923033108565e-07, + "loss": 0.7275, + "step": 30301 + }, + { + "epoch": 0.89, + "learning_rate": 3.1262668928672025e-07, + "loss": 0.7441, + "step": 30302 + }, + { + "epoch": 0.89, + "learning_rate": 3.124611177030734e-07, + "loss": 0.673, + "step": 30303 + }, + { + "epoch": 0.89, + "learning_rate": 3.1229558856141375e-07, + "loss": 0.7856, + "step": 30304 + }, + { + "epoch": 0.89, + "learning_rate": 3.121301018632411e-07, + "loss": 0.8012, + "step": 30305 + }, + { + "epoch": 0.89, + "learning_rate": 3.1196465761005325e-07, + "loss": 0.8037, + "step": 30306 + }, + { + "epoch": 0.89, + "learning_rate": 3.1179925580334836e-07, + "loss": 0.8075, + "step": 30307 + }, + { + "epoch": 0.89, + "learning_rate": 3.116338964446236e-07, + "loss": 0.6247, + "step": 30308 + }, + { + "epoch": 0.89, + "learning_rate": 3.1146857953537724e-07, + "loss": 0.9307, + "step": 30309 + }, + { + "epoch": 0.89, + "learning_rate": 3.113033050771036e-07, + "loss": 0.6882, + "step": 30310 + }, + { + "epoch": 0.89, + "learning_rate": 3.111380730713026e-07, + "loss": 0.8234, + "step": 30311 + }, + { + "epoch": 0.89, + "learning_rate": 3.1097288351946806e-07, + "loss": 0.7533, + "step": 30312 + }, + { + "epoch": 0.89, + "learning_rate": 3.1080773642309657e-07, + "loss": 0.7646, + "step": 30313 + }, + { + "epoch": 0.89, + "learning_rate": 3.106426317836819e-07, + "loss": 0.885, + "step": 30314 + }, + { + "epoch": 0.89, + "learning_rate": 3.1047756960272126e-07, + "loss": 0.6841, + "step": 30315 + }, + { + "epoch": 0.89, + "learning_rate": 3.103125498817072e-07, + "loss": 0.8763, + "step": 30316 + }, + { + "epoch": 0.89, + "learning_rate": 3.101475726221348e-07, + "loss": 0.6738, + "step": 30317 + }, + { + "epoch": 0.89, + "learning_rate": 3.099826378254972e-07, + "loss": 0.6125, + "step": 30318 + }, + { + "epoch": 0.89, + "learning_rate": 3.098177454932888e-07, + "loss": 0.6394, + "step": 30319 + }, + { + "epoch": 0.89, + "learning_rate": 3.096528956270012e-07, + "loss": 0.9261, + "step": 30320 + }, + { + "epoch": 0.89, + "learning_rate": 3.0948808822812757e-07, + "loss": 0.6468, + "step": 30321 + }, + { + "epoch": 0.89, + "learning_rate": 3.0932332329816127e-07, + "loss": 0.7941, + "step": 30322 + }, + { + "epoch": 0.89, + "learning_rate": 3.0915860083859216e-07, + "loss": 0.6528, + "step": 30323 + }, + { + "epoch": 0.89, + "learning_rate": 3.0899392085091294e-07, + "loss": 0.6829, + "step": 30324 + }, + { + "epoch": 0.89, + "learning_rate": 3.088292833366141e-07, + "loss": 0.5786, + "step": 30325 + }, + { + "epoch": 0.89, + "learning_rate": 3.0866468829718667e-07, + "loss": 0.6655, + "step": 30326 + }, + { + "epoch": 0.89, + "learning_rate": 3.0850013573412055e-07, + "loss": 0.4626, + "step": 30327 + }, + { + "epoch": 0.89, + "learning_rate": 3.083356256489062e-07, + "loss": 0.564, + "step": 30328 + }, + { + "epoch": 0.89, + "learning_rate": 3.0817115804303245e-07, + "loss": 0.5449, + "step": 30329 + }, + { + "epoch": 0.89, + "learning_rate": 3.080067329179881e-07, + "loss": 0.782, + "step": 30330 + }, + { + "epoch": 0.89, + "learning_rate": 3.078423502752631e-07, + "loss": 0.8, + "step": 30331 + }, + { + "epoch": 0.89, + "learning_rate": 3.076780101163457e-07, + "loss": 0.6373, + "step": 30332 + }, + { + "epoch": 0.89, + "learning_rate": 3.07513712442723e-07, + "loss": 0.7514, + "step": 30333 + }, + { + "epoch": 0.89, + "learning_rate": 3.0734945725588383e-07, + "loss": 0.9207, + "step": 30334 + }, + { + "epoch": 0.89, + "learning_rate": 3.0718524455731316e-07, + "loss": 0.8446, + "step": 30335 + }, + { + "epoch": 0.89, + "learning_rate": 3.0702107434850026e-07, + "loss": 0.5108, + "step": 30336 + }, + { + "epoch": 0.89, + "learning_rate": 3.0685694663093014e-07, + "loss": 0.8854, + "step": 30337 + }, + { + "epoch": 0.89, + "learning_rate": 3.0669286140608936e-07, + "loss": 0.7077, + "step": 30338 + }, + { + "epoch": 0.89, + "learning_rate": 3.0652881867546333e-07, + "loss": 0.5976, + "step": 30339 + }, + { + "epoch": 0.89, + "learning_rate": 3.0636481844053713e-07, + "loss": 0.7648, + "step": 30340 + }, + { + "epoch": 0.89, + "learning_rate": 3.0620086070279665e-07, + "loss": 0.7186, + "step": 30341 + }, + { + "epoch": 0.89, + "learning_rate": 3.0603694546372464e-07, + "loss": 0.7502, + "step": 30342 + }, + { + "epoch": 0.89, + "learning_rate": 3.0587307272480773e-07, + "loss": 0.7498, + "step": 30343 + }, + { + "epoch": 0.89, + "learning_rate": 3.0570924248752687e-07, + "loss": 0.7899, + "step": 30344 + }, + { + "epoch": 0.89, + "learning_rate": 3.0554545475336816e-07, + "loss": 0.7004, + "step": 30345 + }, + { + "epoch": 0.89, + "learning_rate": 3.0538170952381206e-07, + "loss": 0.6024, + "step": 30346 + }, + { + "epoch": 0.89, + "learning_rate": 3.0521800680034295e-07, + "loss": 0.7064, + "step": 30347 + }, + { + "epoch": 0.89, + "learning_rate": 3.0505434658444134e-07, + "loss": 0.6219, + "step": 30348 + }, + { + "epoch": 0.89, + "learning_rate": 3.0489072887759153e-07, + "loss": 0.7703, + "step": 30349 + }, + { + "epoch": 0.89, + "learning_rate": 3.0472715368127125e-07, + "loss": 0.497, + "step": 30350 + }, + { + "epoch": 0.89, + "learning_rate": 3.04563620996966e-07, + "loss": 0.7938, + "step": 30351 + }, + { + "epoch": 0.89, + "learning_rate": 3.0440013082615294e-07, + "loss": 0.5044, + "step": 30352 + }, + { + "epoch": 0.89, + "learning_rate": 3.0423668317031473e-07, + "loss": 0.9232, + "step": 30353 + }, + { + "epoch": 0.89, + "learning_rate": 3.040732780309291e-07, + "loss": 0.6293, + "step": 30354 + }, + { + "epoch": 0.89, + "learning_rate": 3.039099154094777e-07, + "loss": 0.783, + "step": 30355 + }, + { + "epoch": 0.89, + "learning_rate": 3.0374659530743753e-07, + "loss": 0.8857, + "step": 30356 + }, + { + "epoch": 0.89, + "learning_rate": 3.035833177262887e-07, + "loss": 0.6379, + "step": 30357 + }, + { + "epoch": 0.89, + "learning_rate": 3.034200826675093e-07, + "loss": 0.7461, + "step": 30358 + }, + { + "epoch": 0.89, + "learning_rate": 3.032568901325772e-07, + "loss": 0.7311, + "step": 30359 + }, + { + "epoch": 0.89, + "learning_rate": 3.0309374012297e-07, + "loss": 0.8337, + "step": 30360 + }, + { + "epoch": 0.89, + "learning_rate": 3.029306326401643e-07, + "loss": 0.8315, + "step": 30361 + }, + { + "epoch": 0.89, + "learning_rate": 3.027675676856384e-07, + "loss": 0.467, + "step": 30362 + }, + { + "epoch": 0.89, + "learning_rate": 3.0260454526086724e-07, + "loss": 0.5164, + "step": 30363 + }, + { + "epoch": 0.89, + "learning_rate": 3.024415653673279e-07, + "loss": 0.7499, + "step": 30364 + }, + { + "epoch": 0.89, + "learning_rate": 3.0227862800649487e-07, + "loss": 0.6075, + "step": 30365 + }, + { + "epoch": 0.89, + "learning_rate": 3.021157331798452e-07, + "loss": 0.6541, + "step": 30366 + }, + { + "epoch": 0.89, + "learning_rate": 3.0195288088885164e-07, + "loss": 0.7499, + "step": 30367 + }, + { + "epoch": 0.89, + "learning_rate": 3.017900711349908e-07, + "loss": 1.0511, + "step": 30368 + }, + { + "epoch": 0.89, + "learning_rate": 3.0162730391973484e-07, + "loss": 0.6999, + "step": 30369 + }, + { + "epoch": 0.89, + "learning_rate": 3.014645792445581e-07, + "loss": 0.4625, + "step": 30370 + }, + { + "epoch": 0.89, + "learning_rate": 3.013018971109344e-07, + "loss": 0.7743, + "step": 30371 + }, + { + "epoch": 0.89, + "learning_rate": 3.011392575203376e-07, + "loss": 0.6625, + "step": 30372 + }, + { + "epoch": 0.89, + "learning_rate": 3.009766604742381e-07, + "loss": 0.5895, + "step": 30373 + }, + { + "epoch": 0.89, + "learning_rate": 3.008141059741099e-07, + "loss": 0.5792, + "step": 30374 + }, + { + "epoch": 0.89, + "learning_rate": 3.006515940214233e-07, + "loss": 0.6694, + "step": 30375 + }, + { + "epoch": 0.89, + "learning_rate": 3.0048912461765114e-07, + "loss": 0.5394, + "step": 30376 + }, + { + "epoch": 0.89, + "learning_rate": 3.0032669776426324e-07, + "loss": 0.7083, + "step": 30377 + }, + { + "epoch": 0.89, + "learning_rate": 3.001643134627319e-07, + "loss": 0.8684, + "step": 30378 + }, + { + "epoch": 0.89, + "learning_rate": 3.0000197171452527e-07, + "loss": 1.0883, + "step": 30379 + }, + { + "epoch": 0.89, + "learning_rate": 2.9983967252111446e-07, + "loss": 0.7117, + "step": 30380 + }, + { + "epoch": 0.89, + "learning_rate": 2.996774158839694e-07, + "loss": 0.5414, + "step": 30381 + }, + { + "epoch": 0.89, + "learning_rate": 2.995152018045577e-07, + "loss": 0.8443, + "step": 30382 + }, + { + "epoch": 0.89, + "learning_rate": 2.9935303028434946e-07, + "loss": 0.6074, + "step": 30383 + }, + { + "epoch": 0.89, + "learning_rate": 2.991909013248123e-07, + "loss": 0.7639, + "step": 30384 + }, + { + "epoch": 0.89, + "learning_rate": 2.9902881492741456e-07, + "loss": 0.7222, + "step": 30385 + }, + { + "epoch": 0.89, + "learning_rate": 2.9886677109362325e-07, + "loss": 0.6939, + "step": 30386 + }, + { + "epoch": 0.89, + "learning_rate": 2.9870476982490626e-07, + "loss": 0.6476, + "step": 30387 + }, + { + "epoch": 0.89, + "learning_rate": 2.985428111227301e-07, + "loss": 0.7664, + "step": 30388 + }, + { + "epoch": 0.89, + "learning_rate": 2.9838089498856026e-07, + "loss": 0.6375, + "step": 30389 + }, + { + "epoch": 0.89, + "learning_rate": 2.9821902142386394e-07, + "loss": 0.6965, + "step": 30390 + }, + { + "epoch": 0.89, + "learning_rate": 2.9805719043010717e-07, + "loss": 0.5167, + "step": 30391 + }, + { + "epoch": 0.89, + "learning_rate": 2.9789540200875375e-07, + "loss": 0.6443, + "step": 30392 + }, + { + "epoch": 0.89, + "learning_rate": 2.9773365616127034e-07, + "loss": 0.4906, + "step": 30393 + }, + { + "epoch": 0.89, + "learning_rate": 2.9757195288911913e-07, + "loss": 0.6616, + "step": 30394 + }, + { + "epoch": 0.89, + "learning_rate": 2.974102921937666e-07, + "loss": 0.6341, + "step": 30395 + }, + { + "epoch": 0.89, + "learning_rate": 2.972486740766745e-07, + "loss": 0.6948, + "step": 30396 + }, + { + "epoch": 0.89, + "learning_rate": 2.970870985393076e-07, + "loss": 0.7153, + "step": 30397 + }, + { + "epoch": 0.89, + "learning_rate": 2.9692556558312713e-07, + "loss": 0.5539, + "step": 30398 + }, + { + "epoch": 0.89, + "learning_rate": 2.967640752095974e-07, + "loss": 0.695, + "step": 30399 + }, + { + "epoch": 0.89, + "learning_rate": 2.9660262742018054e-07, + "loss": 0.8223, + "step": 30400 + }, + { + "epoch": 0.89, + "learning_rate": 2.964412222163365e-07, + "loss": 0.7158, + "step": 30401 + }, + { + "epoch": 0.89, + "learning_rate": 2.9627985959952867e-07, + "loss": 0.752, + "step": 30402 + }, + { + "epoch": 0.89, + "learning_rate": 2.961185395712168e-07, + "loss": 0.6625, + "step": 30403 + }, + { + "epoch": 0.89, + "learning_rate": 2.959572621328627e-07, + "loss": 0.8573, + "step": 30404 + }, + { + "epoch": 0.89, + "learning_rate": 2.9579602728592505e-07, + "loss": 0.5614, + "step": 30405 + }, + { + "epoch": 0.89, + "learning_rate": 2.956348350318655e-07, + "loss": 0.829, + "step": 30406 + }, + { + "epoch": 0.89, + "learning_rate": 2.954736853721418e-07, + "loss": 0.633, + "step": 30407 + }, + { + "epoch": 0.89, + "learning_rate": 2.953125783082145e-07, + "loss": 0.58, + "step": 30408 + }, + { + "epoch": 0.89, + "learning_rate": 2.951515138415395e-07, + "loss": 0.654, + "step": 30409 + }, + { + "epoch": 0.89, + "learning_rate": 2.949904919735797e-07, + "loss": 0.5358, + "step": 30410 + }, + { + "epoch": 0.89, + "learning_rate": 2.948295127057893e-07, + "loss": 0.6868, + "step": 30411 + }, + { + "epoch": 0.89, + "learning_rate": 2.9466857603962785e-07, + "loss": 0.6752, + "step": 30412 + }, + { + "epoch": 0.89, + "learning_rate": 2.9450768197655076e-07, + "loss": 0.7681, + "step": 30413 + }, + { + "epoch": 0.89, + "learning_rate": 2.9434683051801695e-07, + "loss": 0.5369, + "step": 30414 + }, + { + "epoch": 0.89, + "learning_rate": 2.9418602166548073e-07, + "loss": 0.5925, + "step": 30415 + }, + { + "epoch": 0.89, + "learning_rate": 2.9402525542039927e-07, + "loss": 0.6407, + "step": 30416 + }, + { + "epoch": 0.89, + "learning_rate": 2.9386453178422756e-07, + "loss": 0.7462, + "step": 30417 + }, + { + "epoch": 0.89, + "learning_rate": 2.937038507584222e-07, + "loss": 0.8048, + "step": 30418 + }, + { + "epoch": 0.89, + "learning_rate": 2.9354321234443597e-07, + "loss": 0.5709, + "step": 30419 + }, + { + "epoch": 0.89, + "learning_rate": 2.933826165437242e-07, + "loss": 0.6698, + "step": 30420 + }, + { + "epoch": 0.89, + "learning_rate": 2.932220633577421e-07, + "loss": 0.6023, + "step": 30421 + }, + { + "epoch": 0.89, + "learning_rate": 2.9306155278794157e-07, + "loss": 0.8467, + "step": 30422 + }, + { + "epoch": 0.89, + "learning_rate": 2.9290108483577773e-07, + "loss": 0.6745, + "step": 30423 + }, + { + "epoch": 0.89, + "learning_rate": 2.927406595027016e-07, + "loss": 0.6979, + "step": 30424 + }, + { + "epoch": 0.89, + "learning_rate": 2.92580276790167e-07, + "loss": 0.6892, + "step": 30425 + }, + { + "epoch": 0.89, + "learning_rate": 2.9241993669962497e-07, + "loss": 0.9531, + "step": 30426 + }, + { + "epoch": 0.89, + "learning_rate": 2.9225963923252887e-07, + "loss": 0.6433, + "step": 30427 + }, + { + "epoch": 0.89, + "learning_rate": 2.920993843903286e-07, + "loss": 0.8341, + "step": 30428 + }, + { + "epoch": 0.89, + "learning_rate": 2.919391721744752e-07, + "loss": 0.6537, + "step": 30429 + }, + { + "epoch": 0.89, + "learning_rate": 2.9177900258642035e-07, + "loss": 0.4575, + "step": 30430 + }, + { + "epoch": 0.89, + "learning_rate": 2.9161887562761394e-07, + "loss": 0.7467, + "step": 30431 + }, + { + "epoch": 0.89, + "learning_rate": 2.914587912995048e-07, + "loss": 0.7705, + "step": 30432 + }, + { + "epoch": 0.89, + "learning_rate": 2.912987496035435e-07, + "loss": 0.9717, + "step": 30433 + }, + { + "epoch": 0.89, + "learning_rate": 2.9113875054117837e-07, + "loss": 0.8212, + "step": 30434 + }, + { + "epoch": 0.89, + "learning_rate": 2.909787941138592e-07, + "loss": 0.9366, + "step": 30435 + }, + { + "epoch": 0.89, + "learning_rate": 2.9081888032303276e-07, + "loss": 0.6042, + "step": 30436 + }, + { + "epoch": 0.89, + "learning_rate": 2.906590091701483e-07, + "loss": 0.7881, + "step": 30437 + }, + { + "epoch": 0.89, + "learning_rate": 2.904991806566515e-07, + "loss": 0.6308, + "step": 30438 + }, + { + "epoch": 0.89, + "learning_rate": 2.903393947839911e-07, + "loss": 0.7429, + "step": 30439 + }, + { + "epoch": 0.89, + "learning_rate": 2.901796515536137e-07, + "loss": 0.8104, + "step": 30440 + }, + { + "epoch": 0.89, + "learning_rate": 2.900199509669649e-07, + "loss": 0.8809, + "step": 30441 + }, + { + "epoch": 0.89, + "learning_rate": 2.898602930254918e-07, + "loss": 0.6164, + "step": 30442 + }, + { + "epoch": 0.89, + "learning_rate": 2.897006777306388e-07, + "loss": 0.7043, + "step": 30443 + }, + { + "epoch": 0.89, + "learning_rate": 2.8954110508385147e-07, + "loss": 0.5958, + "step": 30444 + }, + { + "epoch": 0.89, + "learning_rate": 2.893815750865747e-07, + "loss": 0.9194, + "step": 30445 + }, + { + "epoch": 0.89, + "learning_rate": 2.8922208774025353e-07, + "loss": 0.7405, + "step": 30446 + }, + { + "epoch": 0.89, + "learning_rate": 2.8906264304633056e-07, + "loss": 0.7936, + "step": 30447 + }, + { + "epoch": 0.89, + "learning_rate": 2.889032410062503e-07, + "loss": 0.4895, + "step": 30448 + }, + { + "epoch": 0.89, + "learning_rate": 2.887438816214561e-07, + "loss": 0.6444, + "step": 30449 + }, + { + "epoch": 0.89, + "learning_rate": 2.8858456489339105e-07, + "loss": 0.8346, + "step": 30450 + }, + { + "epoch": 0.89, + "learning_rate": 2.8842529082349635e-07, + "loss": 0.7689, + "step": 30451 + }, + { + "epoch": 0.89, + "learning_rate": 2.882660594132164e-07, + "loss": 0.9969, + "step": 30452 + }, + { + "epoch": 0.89, + "learning_rate": 2.881068706639906e-07, + "loss": 0.4285, + "step": 30453 + }, + { + "epoch": 0.89, + "learning_rate": 2.8794772457726215e-07, + "loss": 0.5733, + "step": 30454 + }, + { + "epoch": 0.89, + "learning_rate": 2.8778862115447005e-07, + "loss": 0.7017, + "step": 30455 + }, + { + "epoch": 0.89, + "learning_rate": 2.8762956039705636e-07, + "loss": 0.8267, + "step": 30456 + }, + { + "epoch": 0.89, + "learning_rate": 2.874705423064605e-07, + "loss": 0.7388, + "step": 30457 + }, + { + "epoch": 0.89, + "learning_rate": 2.873115668841225e-07, + "loss": 0.8691, + "step": 30458 + }, + { + "epoch": 0.89, + "learning_rate": 2.8715263413148233e-07, + "loss": 0.6298, + "step": 30459 + }, + { + "epoch": 0.89, + "learning_rate": 2.8699374404997757e-07, + "loss": 0.7616, + "step": 30460 + }, + { + "epoch": 0.89, + "learning_rate": 2.868348966410489e-07, + "loss": 0.8333, + "step": 30461 + }, + { + "epoch": 0.89, + "learning_rate": 2.866760919061323e-07, + "loss": 0.7474, + "step": 30462 + }, + { + "epoch": 0.89, + "learning_rate": 2.865173298466678e-07, + "loss": 0.4759, + "step": 30463 + }, + { + "epoch": 0.89, + "learning_rate": 2.8635861046409085e-07, + "loss": 0.7138, + "step": 30464 + }, + { + "epoch": 0.9, + "learning_rate": 2.8619993375984036e-07, + "loss": 0.7242, + "step": 30465 + }, + { + "epoch": 0.9, + "learning_rate": 2.860412997353512e-07, + "loss": 0.6882, + "step": 30466 + }, + { + "epoch": 0.9, + "learning_rate": 2.858827083920612e-07, + "loss": 0.6007, + "step": 30467 + }, + { + "epoch": 0.9, + "learning_rate": 2.857241597314042e-07, + "loss": 1.3167, + "step": 30468 + }, + { + "epoch": 0.9, + "learning_rate": 2.8556565375481905e-07, + "loss": 0.4848, + "step": 30469 + }, + { + "epoch": 0.9, + "learning_rate": 2.8540719046373787e-07, + "loss": 0.8523, + "step": 30470 + }, + { + "epoch": 0.9, + "learning_rate": 2.852487698595979e-07, + "loss": 0.566, + "step": 30471 + }, + { + "epoch": 0.9, + "learning_rate": 2.850903919438308e-07, + "loss": 0.8342, + "step": 30472 + }, + { + "epoch": 0.9, + "learning_rate": 2.8493205671787317e-07, + "loss": 0.5769, + "step": 30473 + }, + { + "epoch": 0.9, + "learning_rate": 2.847737641831566e-07, + "loss": 0.6806, + "step": 30474 + }, + { + "epoch": 0.9, + "learning_rate": 2.846155143411161e-07, + "loss": 0.6862, + "step": 30475 + }, + { + "epoch": 0.9, + "learning_rate": 2.844573071931822e-07, + "loss": 0.8372, + "step": 30476 + }, + { + "epoch": 0.9, + "learning_rate": 2.8429914274078985e-07, + "loss": 0.7683, + "step": 30477 + }, + { + "epoch": 0.9, + "learning_rate": 2.84141020985369e-07, + "loss": 0.5838, + "step": 30478 + }, + { + "epoch": 0.9, + "learning_rate": 2.839829419283524e-07, + "loss": 0.6757, + "step": 30479 + }, + { + "epoch": 0.9, + "learning_rate": 2.838249055711717e-07, + "loss": 0.5989, + "step": 30480 + }, + { + "epoch": 0.9, + "learning_rate": 2.8366691191525686e-07, + "loss": 0.6168, + "step": 30481 + }, + { + "epoch": 0.9, + "learning_rate": 2.835089609620395e-07, + "loss": 0.4881, + "step": 30482 + }, + { + "epoch": 0.9, + "learning_rate": 2.8335105271294796e-07, + "loss": 0.8156, + "step": 30483 + }, + { + "epoch": 0.9, + "learning_rate": 2.831931871694138e-07, + "loss": 0.6862, + "step": 30484 + }, + { + "epoch": 0.9, + "learning_rate": 2.8303536433286536e-07, + "loss": 0.702, + "step": 30485 + }, + { + "epoch": 0.9, + "learning_rate": 2.828775842047321e-07, + "loss": 0.697, + "step": 30486 + }, + { + "epoch": 0.9, + "learning_rate": 2.827198467864417e-07, + "loss": 0.9227, + "step": 30487 + }, + { + "epoch": 0.9, + "learning_rate": 2.8256215207942303e-07, + "loss": 0.7513, + "step": 30488 + }, + { + "epoch": 0.9, + "learning_rate": 2.824045000851039e-07, + "loss": 0.5199, + "step": 30489 + }, + { + "epoch": 0.9, + "learning_rate": 2.822468908049125e-07, + "loss": 0.6606, + "step": 30490 + }, + { + "epoch": 0.9, + "learning_rate": 2.820893242402745e-07, + "loss": 0.7694, + "step": 30491 + }, + { + "epoch": 0.9, + "learning_rate": 2.8193180039261745e-07, + "loss": 0.62, + "step": 30492 + }, + { + "epoch": 0.9, + "learning_rate": 2.8177431926336707e-07, + "loss": 0.8033, + "step": 30493 + }, + { + "epoch": 0.9, + "learning_rate": 2.8161688085394936e-07, + "loss": 0.8355, + "step": 30494 + }, + { + "epoch": 0.9, + "learning_rate": 2.814594851657898e-07, + "loss": 0.7575, + "step": 30495 + }, + { + "epoch": 0.9, + "learning_rate": 2.81302132200314e-07, + "loss": 0.3989, + "step": 30496 + }, + { + "epoch": 0.9, + "learning_rate": 2.811448219589452e-07, + "loss": 0.9625, + "step": 30497 + }, + { + "epoch": 0.9, + "learning_rate": 2.80987554443109e-07, + "loss": 0.749, + "step": 30498 + }, + { + "epoch": 0.9, + "learning_rate": 2.8083032965422976e-07, + "loss": 0.6906, + "step": 30499 + }, + { + "epoch": 0.9, + "learning_rate": 2.8067314759372967e-07, + "loss": 0.5225, + "step": 30500 + }, + { + "epoch": 0.9, + "learning_rate": 2.8051600826303316e-07, + "loss": 0.7358, + "step": 30501 + }, + { + "epoch": 0.9, + "learning_rate": 2.803589116635619e-07, + "loss": 0.6123, + "step": 30502 + }, + { + "epoch": 0.9, + "learning_rate": 2.8020185779673914e-07, + "loss": 0.8154, + "step": 30503 + }, + { + "epoch": 0.9, + "learning_rate": 2.80044846663986e-07, + "loss": 0.6258, + "step": 30504 + }, + { + "epoch": 0.9, + "learning_rate": 2.7988787826672525e-07, + "loss": 0.6947, + "step": 30505 + }, + { + "epoch": 0.9, + "learning_rate": 2.7973095260637685e-07, + "loss": 0.7485, + "step": 30506 + }, + { + "epoch": 0.9, + "learning_rate": 2.7957406968436186e-07, + "loss": 0.65, + "step": 30507 + }, + { + "epoch": 0.9, + "learning_rate": 2.794172295021014e-07, + "loss": 0.8635, + "step": 30508 + }, + { + "epoch": 0.9, + "learning_rate": 2.792604320610159e-07, + "loss": 0.7419, + "step": 30509 + }, + { + "epoch": 0.9, + "learning_rate": 2.7910367736252386e-07, + "loss": 0.6364, + "step": 30510 + }, + { + "epoch": 0.9, + "learning_rate": 2.789469654080457e-07, + "loss": 0.8397, + "step": 30511 + }, + { + "epoch": 0.9, + "learning_rate": 2.787902961989991e-07, + "loss": 0.9252, + "step": 30512 + }, + { + "epoch": 0.9, + "learning_rate": 2.786336697368036e-07, + "loss": 0.4382, + "step": 30513 + }, + { + "epoch": 0.9, + "learning_rate": 2.7847708602287636e-07, + "loss": 0.9672, + "step": 30514 + }, + { + "epoch": 0.9, + "learning_rate": 2.783205450586368e-07, + "loss": 0.7507, + "step": 30515 + }, + { + "epoch": 0.9, + "learning_rate": 2.7816404684549993e-07, + "loss": 0.5788, + "step": 30516 + }, + { + "epoch": 0.9, + "learning_rate": 2.7800759138488455e-07, + "loss": 0.5686, + "step": 30517 + }, + { + "epoch": 0.9, + "learning_rate": 2.778511786782068e-07, + "loss": 0.7594, + "step": 30518 + }, + { + "epoch": 0.9, + "learning_rate": 2.7769480872688214e-07, + "loss": 0.7798, + "step": 30519 + }, + { + "epoch": 0.9, + "learning_rate": 2.775384815323279e-07, + "loss": 0.7395, + "step": 30520 + }, + { + "epoch": 0.9, + "learning_rate": 2.773821970959578e-07, + "loss": 0.6969, + "step": 30521 + }, + { + "epoch": 0.9, + "learning_rate": 2.772259554191881e-07, + "loss": 0.6099, + "step": 30522 + }, + { + "epoch": 0.9, + "learning_rate": 2.770697565034325e-07, + "loss": 0.6018, + "step": 30523 + }, + { + "epoch": 0.9, + "learning_rate": 2.769136003501066e-07, + "loss": 0.5827, + "step": 30524 + }, + { + "epoch": 0.9, + "learning_rate": 2.767574869606221e-07, + "loss": 0.6657, + "step": 30525 + }, + { + "epoch": 0.9, + "learning_rate": 2.7660141633639504e-07, + "loss": 0.4937, + "step": 30526 + }, + { + "epoch": 0.9, + "learning_rate": 2.7644538847883595e-07, + "loss": 0.821, + "step": 30527 + }, + { + "epoch": 0.9, + "learning_rate": 2.762894033893598e-07, + "loss": 0.794, + "step": 30528 + }, + { + "epoch": 0.9, + "learning_rate": 2.7613346106937775e-07, + "loss": 1.0433, + "step": 30529 + }, + { + "epoch": 0.9, + "learning_rate": 2.7597756152030254e-07, + "loss": 0.6203, + "step": 30530 + }, + { + "epoch": 0.9, + "learning_rate": 2.758217047435441e-07, + "loss": 0.642, + "step": 30531 + }, + { + "epoch": 0.9, + "learning_rate": 2.7566589074051575e-07, + "loss": 0.757, + "step": 30532 + }, + { + "epoch": 0.9, + "learning_rate": 2.755101195126264e-07, + "loss": 0.7915, + "step": 30533 + }, + { + "epoch": 0.9, + "learning_rate": 2.753543910612877e-07, + "loss": 0.6216, + "step": 30534 + }, + { + "epoch": 0.9, + "learning_rate": 2.7519870538790847e-07, + "loss": 0.8687, + "step": 30535 + }, + { + "epoch": 0.9, + "learning_rate": 2.750430624938999e-07, + "loss": 0.7523, + "step": 30536 + }, + { + "epoch": 0.9, + "learning_rate": 2.7488746238066857e-07, + "loss": 0.7113, + "step": 30537 + }, + { + "epoch": 0.9, + "learning_rate": 2.7473190504962666e-07, + "loss": 1.033, + "step": 30538 + }, + { + "epoch": 0.9, + "learning_rate": 2.745763905021798e-07, + "loss": 0.5787, + "step": 30539 + }, + { + "epoch": 0.9, + "learning_rate": 2.744209187397384e-07, + "loss": 0.479, + "step": 30540 + }, + { + "epoch": 0.9, + "learning_rate": 2.7426548976370923e-07, + "loss": 0.6521, + "step": 30541 + }, + { + "epoch": 0.9, + "learning_rate": 2.741101035754984e-07, + "loss": 0.6768, + "step": 30542 + }, + { + "epoch": 0.9, + "learning_rate": 2.7395476017651415e-07, + "loss": 0.7534, + "step": 30543 + }, + { + "epoch": 0.9, + "learning_rate": 2.7379945956816257e-07, + "loss": 0.604, + "step": 30544 + }, + { + "epoch": 0.9, + "learning_rate": 2.736442017518498e-07, + "loss": 0.8444, + "step": 30545 + }, + { + "epoch": 0.9, + "learning_rate": 2.734889867289814e-07, + "loss": 0.6176, + "step": 30546 + }, + { + "epoch": 0.9, + "learning_rate": 2.7333381450096286e-07, + "loss": 0.7738, + "step": 30547 + }, + { + "epoch": 0.9, + "learning_rate": 2.7317868506919863e-07, + "loss": 0.4487, + "step": 30548 + }, + { + "epoch": 0.9, + "learning_rate": 2.7302359843509485e-07, + "loss": 1.0241, + "step": 30549 + }, + { + "epoch": 0.9, + "learning_rate": 2.728685546000542e-07, + "loss": 0.8489, + "step": 30550 + }, + { + "epoch": 0.9, + "learning_rate": 2.7271355356548177e-07, + "loss": 0.5825, + "step": 30551 + }, + { + "epoch": 0.9, + "learning_rate": 2.7255859533277917e-07, + "loss": 0.6361, + "step": 30552 + }, + { + "epoch": 0.9, + "learning_rate": 2.7240367990335136e-07, + "loss": 0.6132, + "step": 30553 + }, + { + "epoch": 0.9, + "learning_rate": 2.722488072785989e-07, + "loss": 0.7463, + "step": 30554 + }, + { + "epoch": 0.9, + "learning_rate": 2.7209397745992626e-07, + "loss": 0.7916, + "step": 30555 + }, + { + "epoch": 0.9, + "learning_rate": 2.71939190448734e-07, + "loss": 0.5675, + "step": 30556 + }, + { + "epoch": 0.9, + "learning_rate": 2.717844462464231e-07, + "loss": 0.6072, + "step": 30557 + }, + { + "epoch": 0.9, + "learning_rate": 2.7162974485439586e-07, + "loss": 0.7598, + "step": 30558 + }, + { + "epoch": 0.9, + "learning_rate": 2.7147508627405286e-07, + "loss": 0.8754, + "step": 30559 + }, + { + "epoch": 0.9, + "learning_rate": 2.7132047050679345e-07, + "loss": 0.44, + "step": 30560 + }, + { + "epoch": 0.9, + "learning_rate": 2.711658975540188e-07, + "loss": 0.6849, + "step": 30561 + }, + { + "epoch": 0.9, + "learning_rate": 2.7101136741712717e-07, + "loss": 0.8055, + "step": 30562 + }, + { + "epoch": 0.9, + "learning_rate": 2.708568800975192e-07, + "loss": 0.7589, + "step": 30563 + }, + { + "epoch": 0.9, + "learning_rate": 2.7070243559659204e-07, + "loss": 0.928, + "step": 30564 + }, + { + "epoch": 0.9, + "learning_rate": 2.705480339157451e-07, + "loss": 0.6552, + "step": 30565 + }, + { + "epoch": 0.9, + "learning_rate": 2.7039367505637684e-07, + "loss": 0.5516, + "step": 30566 + }, + { + "epoch": 0.9, + "learning_rate": 2.7023935901988205e-07, + "loss": 0.5819, + "step": 30567 + }, + { + "epoch": 0.9, + "learning_rate": 2.7008508580766144e-07, + "loss": 0.6441, + "step": 30568 + }, + { + "epoch": 0.9, + "learning_rate": 2.6993085542110996e-07, + "loss": 0.835, + "step": 30569 + }, + { + "epoch": 0.9, + "learning_rate": 2.6977666786162537e-07, + "loss": 0.7549, + "step": 30570 + }, + { + "epoch": 0.9, + "learning_rate": 2.6962252313060157e-07, + "loss": 0.7106, + "step": 30571 + }, + { + "epoch": 0.9, + "learning_rate": 2.6946842122943685e-07, + "loss": 0.4325, + "step": 30572 + }, + { + "epoch": 0.9, + "learning_rate": 2.69314362159524e-07, + "loss": 0.6866, + "step": 30573 + }, + { + "epoch": 0.9, + "learning_rate": 2.691603459222597e-07, + "loss": 0.5981, + "step": 30574 + }, + { + "epoch": 0.9, + "learning_rate": 2.690063725190367e-07, + "loss": 0.99, + "step": 30575 + }, + { + "epoch": 0.9, + "learning_rate": 2.688524419512506e-07, + "loss": 0.7965, + "step": 30576 + }, + { + "epoch": 0.9, + "learning_rate": 2.6869855422029465e-07, + "loss": 0.8784, + "step": 30577 + }, + { + "epoch": 0.9, + "learning_rate": 2.685447093275628e-07, + "loss": 0.825, + "step": 30578 + }, + { + "epoch": 0.9, + "learning_rate": 2.683909072744467e-07, + "loss": 0.8182, + "step": 30579 + }, + { + "epoch": 0.9, + "learning_rate": 2.6823714806234025e-07, + "loss": 0.803, + "step": 30580 + }, + { + "epoch": 0.9, + "learning_rate": 2.680834316926345e-07, + "loss": 0.7078, + "step": 30581 + }, + { + "epoch": 0.9, + "learning_rate": 2.679297581667223e-07, + "loss": 0.8046, + "step": 30582 + }, + { + "epoch": 0.9, + "learning_rate": 2.677761274859941e-07, + "loss": 0.7458, + "step": 30583 + }, + { + "epoch": 0.9, + "learning_rate": 2.6762253965184173e-07, + "loss": 0.6689, + "step": 30584 + }, + { + "epoch": 0.9, + "learning_rate": 2.6746899466565445e-07, + "loss": 0.8492, + "step": 30585 + }, + { + "epoch": 0.9, + "learning_rate": 2.673154925288235e-07, + "loss": 0.6769, + "step": 30586 + }, + { + "epoch": 0.9, + "learning_rate": 2.6716203324273935e-07, + "loss": 1.055, + "step": 30587 + }, + { + "epoch": 0.9, + "learning_rate": 2.6700861680878985e-07, + "loss": 0.694, + "step": 30588 + }, + { + "epoch": 0.9, + "learning_rate": 2.6685524322836553e-07, + "loss": 0.8078, + "step": 30589 + }, + { + "epoch": 0.9, + "learning_rate": 2.6670191250285416e-07, + "loss": 0.7625, + "step": 30590 + }, + { + "epoch": 0.9, + "learning_rate": 2.665486246336446e-07, + "loss": 0.6811, + "step": 30591 + }, + { + "epoch": 0.9, + "learning_rate": 2.663953796221241e-07, + "loss": 0.6921, + "step": 30592 + }, + { + "epoch": 0.9, + "learning_rate": 2.662421774696811e-07, + "loss": 0.6234, + "step": 30593 + }, + { + "epoch": 0.9, + "learning_rate": 2.660890181777015e-07, + "loss": 0.7289, + "step": 30594 + }, + { + "epoch": 0.9, + "learning_rate": 2.659359017475738e-07, + "loss": 0.8003, + "step": 30595 + }, + { + "epoch": 0.9, + "learning_rate": 2.6578282818068126e-07, + "loss": 0.8245, + "step": 30596 + }, + { + "epoch": 0.9, + "learning_rate": 2.656297974784139e-07, + "loss": 0.8484, + "step": 30597 + }, + { + "epoch": 0.9, + "learning_rate": 2.654768096421539e-07, + "loss": 0.6705, + "step": 30598 + }, + { + "epoch": 0.9, + "learning_rate": 2.6532386467328863e-07, + "loss": 1.1174, + "step": 30599 + }, + { + "epoch": 0.9, + "learning_rate": 2.651709625732013e-07, + "loss": 0.698, + "step": 30600 + }, + { + "epoch": 0.9, + "learning_rate": 2.65018103343278e-07, + "loss": 0.7572, + "step": 30601 + }, + { + "epoch": 0.9, + "learning_rate": 2.6486528698490113e-07, + "loss": 0.6353, + "step": 30602 + }, + { + "epoch": 0.9, + "learning_rate": 2.6471251349945547e-07, + "loss": 0.8268, + "step": 30603 + }, + { + "epoch": 0.9, + "learning_rate": 2.645597828883234e-07, + "loss": 0.9312, + "step": 30604 + }, + { + "epoch": 0.9, + "learning_rate": 2.644070951528888e-07, + "loss": 1.0051, + "step": 30605 + }, + { + "epoch": 0.9, + "learning_rate": 2.642544502945327e-07, + "loss": 0.4765, + "step": 30606 + }, + { + "epoch": 0.9, + "learning_rate": 2.6410184831463793e-07, + "loss": 0.6248, + "step": 30607 + }, + { + "epoch": 0.9, + "learning_rate": 2.6394928921458674e-07, + "loss": 0.5506, + "step": 30608 + }, + { + "epoch": 0.9, + "learning_rate": 2.6379677299575966e-07, + "loss": 0.5572, + "step": 30609 + }, + { + "epoch": 0.9, + "learning_rate": 2.636442996595384e-07, + "loss": 0.7445, + "step": 30610 + }, + { + "epoch": 0.9, + "learning_rate": 2.634918692073019e-07, + "loss": 0.7089, + "step": 30611 + }, + { + "epoch": 0.9, + "learning_rate": 2.6333948164043277e-07, + "loss": 0.5915, + "step": 30612 + }, + { + "epoch": 0.9, + "learning_rate": 2.631871369603084e-07, + "loss": 0.7789, + "step": 30613 + }, + { + "epoch": 0.9, + "learning_rate": 2.630348351683093e-07, + "loss": 0.6686, + "step": 30614 + }, + { + "epoch": 0.9, + "learning_rate": 2.628825762658138e-07, + "loss": 0.6409, + "step": 30615 + }, + { + "epoch": 0.9, + "learning_rate": 2.627303602542014e-07, + "loss": 0.7745, + "step": 30616 + }, + { + "epoch": 0.9, + "learning_rate": 2.625781871348493e-07, + "loss": 0.7693, + "step": 30617 + }, + { + "epoch": 0.9, + "learning_rate": 2.624260569091369e-07, + "loss": 0.7388, + "step": 30618 + }, + { + "epoch": 0.9, + "learning_rate": 2.622739695784399e-07, + "loss": 0.9094, + "step": 30619 + }, + { + "epoch": 0.9, + "learning_rate": 2.621219251441365e-07, + "loss": 0.7975, + "step": 30620 + }, + { + "epoch": 0.9, + "learning_rate": 2.6196992360760177e-07, + "loss": 0.7104, + "step": 30621 + }, + { + "epoch": 0.9, + "learning_rate": 2.6181796497021406e-07, + "loss": 0.8896, + "step": 30622 + }, + { + "epoch": 0.9, + "learning_rate": 2.6166604923334784e-07, + "loss": 0.6476, + "step": 30623 + }, + { + "epoch": 0.9, + "learning_rate": 2.6151417639837915e-07, + "loss": 0.5488, + "step": 30624 + }, + { + "epoch": 0.9, + "learning_rate": 2.613623464666826e-07, + "loss": 0.6109, + "step": 30625 + }, + { + "epoch": 0.9, + "learning_rate": 2.6121055943963303e-07, + "loss": 0.8238, + "step": 30626 + }, + { + "epoch": 0.9, + "learning_rate": 2.61058815318605e-07, + "loss": 0.4536, + "step": 30627 + }, + { + "epoch": 0.9, + "learning_rate": 2.6090711410497235e-07, + "loss": 0.798, + "step": 30628 + }, + { + "epoch": 0.9, + "learning_rate": 2.6075545580010906e-07, + "loss": 0.7619, + "step": 30629 + }, + { + "epoch": 0.9, + "learning_rate": 2.606038404053873e-07, + "loss": 0.6538, + "step": 30630 + }, + { + "epoch": 0.9, + "learning_rate": 2.604522679221805e-07, + "loss": 0.7258, + "step": 30631 + }, + { + "epoch": 0.9, + "learning_rate": 2.6030073835186077e-07, + "loss": 0.9708, + "step": 30632 + }, + { + "epoch": 0.9, + "learning_rate": 2.601492516958004e-07, + "loss": 0.6473, + "step": 30633 + }, + { + "epoch": 0.9, + "learning_rate": 2.5999780795537056e-07, + "loss": 0.7135, + "step": 30634 + }, + { + "epoch": 0.9, + "learning_rate": 2.598464071319423e-07, + "loss": 0.6863, + "step": 30635 + }, + { + "epoch": 0.9, + "learning_rate": 2.5969504922688684e-07, + "loss": 0.6949, + "step": 30636 + }, + { + "epoch": 0.9, + "learning_rate": 2.5954373424157575e-07, + "loss": 0.8739, + "step": 30637 + }, + { + "epoch": 0.9, + "learning_rate": 2.5939246217737635e-07, + "loss": 0.6069, + "step": 30638 + }, + { + "epoch": 0.9, + "learning_rate": 2.592412330356614e-07, + "loss": 0.8169, + "step": 30639 + }, + { + "epoch": 0.9, + "learning_rate": 2.5909004681779706e-07, + "loss": 0.8809, + "step": 30640 + }, + { + "epoch": 0.9, + "learning_rate": 2.5893890352515493e-07, + "loss": 0.4899, + "step": 30641 + }, + { + "epoch": 0.9, + "learning_rate": 2.5878780315910177e-07, + "loss": 0.6265, + "step": 30642 + }, + { + "epoch": 0.9, + "learning_rate": 2.586367457210065e-07, + "loss": 0.7438, + "step": 30643 + }, + { + "epoch": 0.9, + "learning_rate": 2.5848573121223576e-07, + "loss": 0.7695, + "step": 30644 + }, + { + "epoch": 0.9, + "learning_rate": 2.5833475963415786e-07, + "loss": 0.5249, + "step": 30645 + }, + { + "epoch": 0.9, + "learning_rate": 2.5818383098814014e-07, + "loss": 0.7808, + "step": 30646 + }, + { + "epoch": 0.9, + "learning_rate": 2.580329452755481e-07, + "loss": 0.6323, + "step": 30647 + }, + { + "epoch": 0.9, + "learning_rate": 2.5788210249774846e-07, + "loss": 0.6605, + "step": 30648 + }, + { + "epoch": 0.9, + "learning_rate": 2.577313026561068e-07, + "loss": 0.4677, + "step": 30649 + }, + { + "epoch": 0.9, + "learning_rate": 2.575805457519887e-07, + "loss": 0.6425, + "step": 30650 + }, + { + "epoch": 0.9, + "learning_rate": 2.5742983178675794e-07, + "loss": 0.6214, + "step": 30651 + }, + { + "epoch": 0.9, + "learning_rate": 2.5727916076178137e-07, + "loss": 0.8422, + "step": 30652 + }, + { + "epoch": 0.9, + "learning_rate": 2.571285326784212e-07, + "loss": 0.8288, + "step": 30653 + }, + { + "epoch": 0.9, + "learning_rate": 2.5697794753804293e-07, + "loss": 0.6804, + "step": 30654 + }, + { + "epoch": 0.9, + "learning_rate": 2.5682740534200725e-07, + "loss": 0.6751, + "step": 30655 + }, + { + "epoch": 0.9, + "learning_rate": 2.566769060916807e-07, + "loss": 0.8844, + "step": 30656 + }, + { + "epoch": 0.9, + "learning_rate": 2.5652644978842347e-07, + "loss": 0.8625, + "step": 30657 + }, + { + "epoch": 0.9, + "learning_rate": 2.5637603643359933e-07, + "loss": 0.8346, + "step": 30658 + }, + { + "epoch": 0.9, + "learning_rate": 2.5622566602856837e-07, + "loss": 0.8307, + "step": 30659 + }, + { + "epoch": 0.9, + "learning_rate": 2.5607533857469447e-07, + "loss": 0.6445, + "step": 30660 + }, + { + "epoch": 0.9, + "learning_rate": 2.55925054073336e-07, + "loss": 0.6113, + "step": 30661 + }, + { + "epoch": 0.9, + "learning_rate": 2.557748125258563e-07, + "loss": 0.906, + "step": 30662 + }, + { + "epoch": 0.9, + "learning_rate": 2.556246139336138e-07, + "loss": 0.7525, + "step": 30663 + }, + { + "epoch": 0.9, + "learning_rate": 2.554744582979696e-07, + "loss": 0.6335, + "step": 30664 + }, + { + "epoch": 0.9, + "learning_rate": 2.55324345620282e-07, + "loss": 0.5881, + "step": 30665 + }, + { + "epoch": 0.9, + "learning_rate": 2.55174275901911e-07, + "loss": 0.8408, + "step": 30666 + }, + { + "epoch": 0.9, + "learning_rate": 2.5502424914421564e-07, + "loss": 0.7038, + "step": 30667 + }, + { + "epoch": 0.9, + "learning_rate": 2.5487426534855365e-07, + "loss": 0.5249, + "step": 30668 + }, + { + "epoch": 0.9, + "learning_rate": 2.547243245162839e-07, + "loss": 0.6807, + "step": 30669 + }, + { + "epoch": 0.9, + "learning_rate": 2.5457442664876207e-07, + "loss": 0.8416, + "step": 30670 + }, + { + "epoch": 0.9, + "learning_rate": 2.5442457174734816e-07, + "loss": 0.5195, + "step": 30671 + }, + { + "epoch": 0.9, + "learning_rate": 2.5427475981339655e-07, + "loss": 0.6419, + "step": 30672 + }, + { + "epoch": 0.9, + "learning_rate": 2.5412499084826517e-07, + "loss": 0.7839, + "step": 30673 + }, + { + "epoch": 0.9, + "learning_rate": 2.539752648533084e-07, + "loss": 0.7189, + "step": 30674 + }, + { + "epoch": 0.9, + "learning_rate": 2.538255818298835e-07, + "loss": 0.6006, + "step": 30675 + }, + { + "epoch": 0.9, + "learning_rate": 2.53675941779345e-07, + "loss": 0.8486, + "step": 30676 + }, + { + "epoch": 0.9, + "learning_rate": 2.5352634470304893e-07, + "loss": 0.6267, + "step": 30677 + }, + { + "epoch": 0.9, + "learning_rate": 2.5337679060234764e-07, + "loss": 0.6321, + "step": 30678 + }, + { + "epoch": 0.9, + "learning_rate": 2.5322727947859725e-07, + "loss": 0.4435, + "step": 30679 + }, + { + "epoch": 0.9, + "learning_rate": 2.530778113331506e-07, + "loss": 0.6795, + "step": 30680 + }, + { + "epoch": 0.9, + "learning_rate": 2.5292838616736095e-07, + "loss": 0.9017, + "step": 30681 + }, + { + "epoch": 0.9, + "learning_rate": 2.5277900398258114e-07, + "loss": 0.7182, + "step": 30682 + }, + { + "epoch": 0.9, + "learning_rate": 2.5262966478016404e-07, + "loss": 0.6949, + "step": 30683 + }, + { + "epoch": 0.9, + "learning_rate": 2.524803685614613e-07, + "loss": 0.6793, + "step": 30684 + }, + { + "epoch": 0.9, + "learning_rate": 2.5233111532782515e-07, + "loss": 0.5275, + "step": 30685 + }, + { + "epoch": 0.9, + "learning_rate": 2.5218190508060736e-07, + "loss": 0.7707, + "step": 30686 + }, + { + "epoch": 0.9, + "learning_rate": 2.520327378211579e-07, + "loss": 0.6382, + "step": 30687 + }, + { + "epoch": 0.9, + "learning_rate": 2.518836135508279e-07, + "loss": 0.7996, + "step": 30688 + }, + { + "epoch": 0.9, + "learning_rate": 2.5173453227096745e-07, + "loss": 0.4697, + "step": 30689 + }, + { + "epoch": 0.9, + "learning_rate": 2.515854939829271e-07, + "loss": 0.4962, + "step": 30690 + }, + { + "epoch": 0.9, + "learning_rate": 2.5143649868805464e-07, + "loss": 0.8053, + "step": 30691 + }, + { + "epoch": 0.9, + "learning_rate": 2.512875463877007e-07, + "loss": 0.6035, + "step": 30692 + }, + { + "epoch": 0.9, + "learning_rate": 2.511386370832131e-07, + "loss": 0.7865, + "step": 30693 + }, + { + "epoch": 0.9, + "learning_rate": 2.509897707759401e-07, + "loss": 0.7118, + "step": 30694 + }, + { + "epoch": 0.9, + "learning_rate": 2.508409474672291e-07, + "loss": 0.5431, + "step": 30695 + }, + { + "epoch": 0.9, + "learning_rate": 2.5069216715842947e-07, + "loss": 0.8335, + "step": 30696 + }, + { + "epoch": 0.9, + "learning_rate": 2.5054342985088633e-07, + "loss": 0.6911, + "step": 30697 + }, + { + "epoch": 0.9, + "learning_rate": 2.5039473554594797e-07, + "loss": 0.5673, + "step": 30698 + }, + { + "epoch": 0.9, + "learning_rate": 2.502460842449589e-07, + "loss": 0.8029, + "step": 30699 + }, + { + "epoch": 0.9, + "learning_rate": 2.500974759492669e-07, + "loss": 0.5112, + "step": 30700 + }, + { + "epoch": 0.9, + "learning_rate": 2.4994891066021544e-07, + "loss": 0.5446, + "step": 30701 + }, + { + "epoch": 0.9, + "learning_rate": 2.4980038837915165e-07, + "loss": 0.6505, + "step": 30702 + }, + { + "epoch": 0.9, + "learning_rate": 2.49651909107419e-07, + "loss": 0.7501, + "step": 30703 + }, + { + "epoch": 0.9, + "learning_rate": 2.4950347284636247e-07, + "loss": 0.6658, + "step": 30704 + }, + { + "epoch": 0.9, + "learning_rate": 2.49355079597326e-07, + "loss": 0.7242, + "step": 30705 + }, + { + "epoch": 0.9, + "learning_rate": 2.4920672936165293e-07, + "loss": 0.8311, + "step": 30706 + }, + { + "epoch": 0.9, + "learning_rate": 2.4905842214068664e-07, + "loss": 0.7262, + "step": 30707 + }, + { + "epoch": 0.9, + "learning_rate": 2.4891015793577e-07, + "loss": 0.5933, + "step": 30708 + }, + { + "epoch": 0.9, + "learning_rate": 2.4876193674824524e-07, + "loss": 0.7264, + "step": 30709 + }, + { + "epoch": 0.9, + "learning_rate": 2.4861375857945405e-07, + "loss": 0.9109, + "step": 30710 + }, + { + "epoch": 0.9, + "learning_rate": 2.4846562343073865e-07, + "loss": 0.7777, + "step": 30711 + }, + { + "epoch": 0.9, + "learning_rate": 2.4831753130344027e-07, + "loss": 0.6872, + "step": 30712 + }, + { + "epoch": 0.9, + "learning_rate": 2.481694821988995e-07, + "loss": 0.8099, + "step": 30713 + }, + { + "epoch": 0.9, + "learning_rate": 2.4802147611845573e-07, + "loss": 0.7528, + "step": 30714 + }, + { + "epoch": 0.9, + "learning_rate": 2.4787351306345187e-07, + "loss": 0.7807, + "step": 30715 + }, + { + "epoch": 0.9, + "learning_rate": 2.4772559303522515e-07, + "loss": 0.7263, + "step": 30716 + }, + { + "epoch": 0.9, + "learning_rate": 2.4757771603511616e-07, + "loss": 0.5805, + "step": 30717 + }, + { + "epoch": 0.9, + "learning_rate": 2.4742988206446274e-07, + "loss": 0.561, + "step": 30718 + }, + { + "epoch": 0.9, + "learning_rate": 2.472820911246043e-07, + "loss": 0.9982, + "step": 30719 + }, + { + "epoch": 0.9, + "learning_rate": 2.4713434321687823e-07, + "loss": 0.8476, + "step": 30720 + }, + { + "epoch": 0.9, + "learning_rate": 2.469866383426234e-07, + "loss": 0.7467, + "step": 30721 + }, + { + "epoch": 0.9, + "learning_rate": 2.468389765031759e-07, + "loss": 0.737, + "step": 30722 + }, + { + "epoch": 0.9, + "learning_rate": 2.466913576998736e-07, + "loss": 0.8594, + "step": 30723 + }, + { + "epoch": 0.9, + "learning_rate": 2.465437819340522e-07, + "loss": 0.7212, + "step": 30724 + }, + { + "epoch": 0.9, + "learning_rate": 2.4639624920704877e-07, + "loss": 0.7572, + "step": 30725 + }, + { + "epoch": 0.9, + "learning_rate": 2.46248759520199e-07, + "loss": 0.6731, + "step": 30726 + }, + { + "epoch": 0.9, + "learning_rate": 2.461013128748374e-07, + "loss": 0.5835, + "step": 30727 + }, + { + "epoch": 0.9, + "learning_rate": 2.459539092723001e-07, + "loss": 0.5227, + "step": 30728 + }, + { + "epoch": 0.9, + "learning_rate": 2.4580654871392106e-07, + "loss": 0.8303, + "step": 30729 + }, + { + "epoch": 0.9, + "learning_rate": 2.4565923120103475e-07, + "loss": 0.8351, + "step": 30730 + }, + { + "epoch": 0.9, + "learning_rate": 2.4551195673497455e-07, + "loss": 0.5052, + "step": 30731 + }, + { + "epoch": 0.9, + "learning_rate": 2.453647253170749e-07, + "loss": 0.7783, + "step": 30732 + }, + { + "epoch": 0.9, + "learning_rate": 2.4521753694866814e-07, + "loss": 0.5485, + "step": 30733 + }, + { + "epoch": 0.9, + "learning_rate": 2.450703916310865e-07, + "loss": 0.5209, + "step": 30734 + }, + { + "epoch": 0.9, + "learning_rate": 2.4492328936566335e-07, + "loss": 0.5495, + "step": 30735 + }, + { + "epoch": 0.9, + "learning_rate": 2.447762301537304e-07, + "loss": 0.5051, + "step": 30736 + }, + { + "epoch": 0.9, + "learning_rate": 2.4462921399661774e-07, + "loss": 0.4997, + "step": 30737 + }, + { + "epoch": 0.9, + "learning_rate": 2.4448224089565873e-07, + "loss": 0.4487, + "step": 30738 + }, + { + "epoch": 0.9, + "learning_rate": 2.4433531085218234e-07, + "loss": 0.65, + "step": 30739 + }, + { + "epoch": 0.9, + "learning_rate": 2.4418842386752015e-07, + "loss": 0.6919, + "step": 30740 + }, + { + "epoch": 0.9, + "learning_rate": 2.4404157994300127e-07, + "loss": 0.7542, + "step": 30741 + }, + { + "epoch": 0.9, + "learning_rate": 2.4389477907995564e-07, + "loss": 0.7894, + "step": 30742 + }, + { + "epoch": 0.9, + "learning_rate": 2.4374802127971163e-07, + "loss": 0.6797, + "step": 30743 + }, + { + "epoch": 0.9, + "learning_rate": 2.436013065435983e-07, + "loss": 0.6212, + "step": 30744 + }, + { + "epoch": 0.9, + "learning_rate": 2.4345463487294554e-07, + "loss": 0.7748, + "step": 30745 + }, + { + "epoch": 0.9, + "learning_rate": 2.433080062690796e-07, + "loss": 0.6807, + "step": 30746 + }, + { + "epoch": 0.9, + "learning_rate": 2.431614207333288e-07, + "loss": 0.8114, + "step": 30747 + }, + { + "epoch": 0.9, + "learning_rate": 2.4301487826701995e-07, + "loss": 0.8299, + "step": 30748 + }, + { + "epoch": 0.9, + "learning_rate": 2.4286837887148086e-07, + "loss": 0.7, + "step": 30749 + }, + { + "epoch": 0.9, + "learning_rate": 2.4272192254803596e-07, + "loss": 0.7293, + "step": 30750 + }, + { + "epoch": 0.9, + "learning_rate": 2.425755092980142e-07, + "loss": 0.5172, + "step": 30751 + }, + { + "epoch": 0.9, + "learning_rate": 2.4242913912273844e-07, + "loss": 0.7897, + "step": 30752 + }, + { + "epoch": 0.9, + "learning_rate": 2.42282812023536e-07, + "loss": 0.7463, + "step": 30753 + }, + { + "epoch": 0.9, + "learning_rate": 2.4213652800172903e-07, + "loss": 0.4805, + "step": 30754 + }, + { + "epoch": 0.9, + "learning_rate": 2.41990287058646e-07, + "loss": 0.8178, + "step": 30755 + }, + { + "epoch": 0.9, + "learning_rate": 2.4184408919560755e-07, + "loss": 0.6537, + "step": 30756 + }, + { + "epoch": 0.9, + "learning_rate": 2.4169793441393973e-07, + "loss": 0.5544, + "step": 30757 + }, + { + "epoch": 0.9, + "learning_rate": 2.4155182271496435e-07, + "loss": 0.7177, + "step": 30758 + }, + { + "epoch": 0.9, + "learning_rate": 2.414057541000053e-07, + "loss": 0.4521, + "step": 30759 + }, + { + "epoch": 0.9, + "learning_rate": 2.4125972857038383e-07, + "loss": 0.5243, + "step": 30760 + }, + { + "epoch": 0.9, + "learning_rate": 2.4111374612742436e-07, + "loss": 0.8165, + "step": 30761 + }, + { + "epoch": 0.9, + "learning_rate": 2.409678067724458e-07, + "loss": 0.8086, + "step": 30762 + }, + { + "epoch": 0.9, + "learning_rate": 2.408219105067711e-07, + "loss": 0.6265, + "step": 30763 + }, + { + "epoch": 0.9, + "learning_rate": 2.406760573317218e-07, + "loss": 0.6, + "step": 30764 + }, + { + "epoch": 0.9, + "learning_rate": 2.405302472486165e-07, + "loss": 0.6868, + "step": 30765 + }, + { + "epoch": 0.9, + "learning_rate": 2.403844802587779e-07, + "loss": 0.6869, + "step": 30766 + }, + { + "epoch": 0.9, + "learning_rate": 2.402387563635239e-07, + "loss": 0.5625, + "step": 30767 + }, + { + "epoch": 0.9, + "learning_rate": 2.4009307556417504e-07, + "loss": 0.5577, + "step": 30768 + }, + { + "epoch": 0.9, + "learning_rate": 2.399474378620492e-07, + "loss": 0.9906, + "step": 30769 + }, + { + "epoch": 0.9, + "learning_rate": 2.3980184325846647e-07, + "loss": 0.7077, + "step": 30770 + }, + { + "epoch": 0.9, + "learning_rate": 2.396562917547435e-07, + "loss": 0.8143, + "step": 30771 + }, + { + "epoch": 0.9, + "learning_rate": 2.395107833521998e-07, + "loss": 0.5993, + "step": 30772 + }, + { + "epoch": 0.9, + "learning_rate": 2.3936531805215046e-07, + "loss": 0.9012, + "step": 30773 + }, + { + "epoch": 0.9, + "learning_rate": 2.3921989585591555e-07, + "loss": 0.778, + "step": 30774 + }, + { + "epoch": 0.9, + "learning_rate": 2.390745167648095e-07, + "loss": 0.6555, + "step": 30775 + }, + { + "epoch": 0.9, + "learning_rate": 2.3892918078015025e-07, + "loss": 1.0733, + "step": 30776 + }, + { + "epoch": 0.9, + "learning_rate": 2.3878388790325226e-07, + "loss": 0.8471, + "step": 30777 + }, + { + "epoch": 0.9, + "learning_rate": 2.3863863813543163e-07, + "loss": 0.6343, + "step": 30778 + }, + { + "epoch": 0.9, + "learning_rate": 2.3849343147800353e-07, + "loss": 0.8295, + "step": 30779 + }, + { + "epoch": 0.9, + "learning_rate": 2.3834826793228295e-07, + "loss": 0.573, + "step": 30780 + }, + { + "epoch": 0.9, + "learning_rate": 2.382031474995833e-07, + "loss": 0.6549, + "step": 30781 + }, + { + "epoch": 0.9, + "learning_rate": 2.3805807018122017e-07, + "loss": 0.9094, + "step": 30782 + }, + { + "epoch": 0.9, + "learning_rate": 2.3791303597850478e-07, + "loss": 0.7516, + "step": 30783 + }, + { + "epoch": 0.9, + "learning_rate": 2.3776804489275218e-07, + "loss": 0.6024, + "step": 30784 + }, + { + "epoch": 0.9, + "learning_rate": 2.376230969252752e-07, + "loss": 0.9169, + "step": 30785 + }, + { + "epoch": 0.9, + "learning_rate": 2.3747819207738444e-07, + "loss": 0.8287, + "step": 30786 + }, + { + "epoch": 0.9, + "learning_rate": 2.373333303503944e-07, + "loss": 0.6834, + "step": 30787 + }, + { + "epoch": 0.9, + "learning_rate": 2.3718851174561409e-07, + "loss": 0.5119, + "step": 30788 + }, + { + "epoch": 0.9, + "learning_rate": 2.370437362643574e-07, + "loss": 0.4068, + "step": 30789 + }, + { + "epoch": 0.9, + "learning_rate": 2.368990039079322e-07, + "loss": 0.8454, + "step": 30790 + }, + { + "epoch": 0.9, + "learning_rate": 2.3675431467765185e-07, + "loss": 0.7598, + "step": 30791 + }, + { + "epoch": 0.9, + "learning_rate": 2.3660966857482426e-07, + "loss": 0.7167, + "step": 30792 + }, + { + "epoch": 0.9, + "learning_rate": 2.3646506560076e-07, + "loss": 0.6792, + "step": 30793 + }, + { + "epoch": 0.9, + "learning_rate": 2.3632050575676803e-07, + "loss": 0.6786, + "step": 30794 + }, + { + "epoch": 0.9, + "learning_rate": 2.3617598904415784e-07, + "loss": 0.7865, + "step": 30795 + }, + { + "epoch": 0.9, + "learning_rate": 2.360315154642373e-07, + "loss": 0.9181, + "step": 30796 + }, + { + "epoch": 0.9, + "learning_rate": 2.358870850183148e-07, + "loss": 0.7838, + "step": 30797 + }, + { + "epoch": 0.9, + "learning_rate": 2.3574269770769765e-07, + "loss": 0.7396, + "step": 30798 + }, + { + "epoch": 0.9, + "learning_rate": 2.355983535336942e-07, + "loss": 0.6363, + "step": 30799 + }, + { + "epoch": 0.9, + "learning_rate": 2.3545405249760956e-07, + "loss": 0.7635, + "step": 30800 + }, + { + "epoch": 0.9, + "learning_rate": 2.3530979460075208e-07, + "loss": 0.7822, + "step": 30801 + }, + { + "epoch": 0.9, + "learning_rate": 2.351655798444269e-07, + "loss": 0.8478, + "step": 30802 + }, + { + "epoch": 0.9, + "learning_rate": 2.3502140822993958e-07, + "loss": 0.5234, + "step": 30803 + }, + { + "epoch": 0.9, + "learning_rate": 2.3487727975859686e-07, + "loss": 0.5672, + "step": 30804 + }, + { + "epoch": 0.91, + "learning_rate": 2.3473319443170162e-07, + "loss": 0.757, + "step": 30805 + }, + { + "epoch": 0.91, + "learning_rate": 2.3458915225056056e-07, + "loss": 0.6882, + "step": 30806 + }, + { + "epoch": 0.91, + "learning_rate": 2.3444515321647653e-07, + "loss": 0.5128, + "step": 30807 + }, + { + "epoch": 0.91, + "learning_rate": 2.3430119733075406e-07, + "loss": 0.8644, + "step": 30808 + }, + { + "epoch": 0.91, + "learning_rate": 2.3415728459469545e-07, + "loss": 0.8989, + "step": 30809 + }, + { + "epoch": 0.91, + "learning_rate": 2.3401341500960518e-07, + "loss": 0.836, + "step": 30810 + }, + { + "epoch": 0.91, + "learning_rate": 2.3386958857678444e-07, + "loss": 0.6741, + "step": 30811 + }, + { + "epoch": 0.91, + "learning_rate": 2.337258052975372e-07, + "loss": 0.8522, + "step": 30812 + }, + { + "epoch": 0.91, + "learning_rate": 2.335820651731624e-07, + "loss": 0.5003, + "step": 30813 + }, + { + "epoch": 0.91, + "learning_rate": 2.3343836820496513e-07, + "loss": 0.866, + "step": 30814 + }, + { + "epoch": 0.91, + "learning_rate": 2.3329471439424378e-07, + "loss": 1.08, + "step": 30815 + }, + { + "epoch": 0.91, + "learning_rate": 2.331511037423012e-07, + "loss": 0.5495, + "step": 30816 + }, + { + "epoch": 0.91, + "learning_rate": 2.3300753625043527e-07, + "loss": 0.7722, + "step": 30817 + }, + { + "epoch": 0.91, + "learning_rate": 2.328640119199477e-07, + "loss": 0.8982, + "step": 30818 + }, + { + "epoch": 0.91, + "learning_rate": 2.327205307521363e-07, + "loss": 0.9773, + "step": 30819 + }, + { + "epoch": 0.91, + "learning_rate": 2.325770927483023e-07, + "loss": 0.5694, + "step": 30820 + }, + { + "epoch": 0.91, + "learning_rate": 2.3243369790974246e-07, + "loss": 0.7351, + "step": 30821 + }, + { + "epoch": 0.91, + "learning_rate": 2.322903462377568e-07, + "loss": 0.6334, + "step": 30822 + }, + { + "epoch": 0.91, + "learning_rate": 2.3214703773364157e-07, + "loss": 0.8348, + "step": 30823 + }, + { + "epoch": 0.91, + "learning_rate": 2.3200377239869564e-07, + "loss": 0.7098, + "step": 30824 + }, + { + "epoch": 0.91, + "learning_rate": 2.3186055023421583e-07, + "loss": 0.7183, + "step": 30825 + }, + { + "epoch": 0.91, + "learning_rate": 2.3171737124149828e-07, + "loss": 0.7614, + "step": 30826 + }, + { + "epoch": 0.91, + "learning_rate": 2.315742354218403e-07, + "loss": 0.8182, + "step": 30827 + }, + { + "epoch": 0.91, + "learning_rate": 2.31431142776537e-07, + "loss": 0.4556, + "step": 30828 + }, + { + "epoch": 0.91, + "learning_rate": 2.3128809330688506e-07, + "loss": 0.5806, + "step": 30829 + }, + { + "epoch": 0.91, + "learning_rate": 2.3114508701417848e-07, + "loss": 0.6193, + "step": 30830 + }, + { + "epoch": 0.91, + "learning_rate": 2.3100212389971288e-07, + "loss": 0.7122, + "step": 30831 + }, + { + "epoch": 0.91, + "learning_rate": 2.3085920396478168e-07, + "loss": 0.8505, + "step": 30832 + }, + { + "epoch": 0.91, + "learning_rate": 2.307163272106805e-07, + "loss": 0.5287, + "step": 30833 + }, + { + "epoch": 0.91, + "learning_rate": 2.3057349363870106e-07, + "loss": 1.0373, + "step": 30834 + }, + { + "epoch": 0.91, + "learning_rate": 2.3043070325013906e-07, + "loss": 0.6753, + "step": 30835 + }, + { + "epoch": 0.91, + "learning_rate": 2.3028795604628506e-07, + "loss": 0.6119, + "step": 30836 + }, + { + "epoch": 0.91, + "learning_rate": 2.3014525202843308e-07, + "loss": 0.7511, + "step": 30837 + }, + { + "epoch": 0.91, + "learning_rate": 2.3000259119787372e-07, + "loss": 0.6139, + "step": 30838 + }, + { + "epoch": 0.91, + "learning_rate": 2.2985997355589984e-07, + "loss": 0.7727, + "step": 30839 + }, + { + "epoch": 0.91, + "learning_rate": 2.297173991038021e-07, + "loss": 0.8037, + "step": 30840 + }, + { + "epoch": 0.91, + "learning_rate": 2.295748678428722e-07, + "loss": 0.7652, + "step": 30841 + }, + { + "epoch": 0.91, + "learning_rate": 2.2943237977439914e-07, + "loss": 0.5807, + "step": 30842 + }, + { + "epoch": 0.91, + "learning_rate": 2.292899348996752e-07, + "loss": 0.9205, + "step": 30843 + }, + { + "epoch": 0.91, + "learning_rate": 2.2914753321998828e-07, + "loss": 0.8274, + "step": 30844 + }, + { + "epoch": 0.91, + "learning_rate": 2.2900517473662842e-07, + "loss": 0.888, + "step": 30845 + }, + { + "epoch": 0.91, + "learning_rate": 2.2886285945088516e-07, + "loss": 0.524, + "step": 30846 + }, + { + "epoch": 0.91, + "learning_rate": 2.2872058736404524e-07, + "loss": 0.7377, + "step": 30847 + }, + { + "epoch": 0.91, + "learning_rate": 2.2857835847739873e-07, + "loss": 0.5685, + "step": 30848 + }, + { + "epoch": 0.91, + "learning_rate": 2.2843617279223186e-07, + "loss": 0.7794, + "step": 30849 + }, + { + "epoch": 0.91, + "learning_rate": 2.282940303098341e-07, + "loss": 0.8329, + "step": 30850 + }, + { + "epoch": 0.91, + "learning_rate": 2.2815193103149002e-07, + "loss": 0.6104, + "step": 30851 + }, + { + "epoch": 0.91, + "learning_rate": 2.2800987495848693e-07, + "loss": 0.6353, + "step": 30852 + }, + { + "epoch": 0.91, + "learning_rate": 2.278678620921121e-07, + "loss": 0.9683, + "step": 30853 + }, + { + "epoch": 0.91, + "learning_rate": 2.2772589243365119e-07, + "loss": 0.8952, + "step": 30854 + }, + { + "epoch": 0.91, + "learning_rate": 2.2758396598438814e-07, + "loss": 0.7117, + "step": 30855 + }, + { + "epoch": 0.91, + "learning_rate": 2.2744208274560974e-07, + "loss": 0.8288, + "step": 30856 + }, + { + "epoch": 0.91, + "learning_rate": 2.2730024271859941e-07, + "loss": 0.7452, + "step": 30857 + }, + { + "epoch": 0.91, + "learning_rate": 2.271584459046422e-07, + "loss": 0.8417, + "step": 30858 + }, + { + "epoch": 0.91, + "learning_rate": 2.2701669230502098e-07, + "loss": 0.6824, + "step": 30859 + }, + { + "epoch": 0.91, + "learning_rate": 2.2687498192102086e-07, + "loss": 0.5776, + "step": 30860 + }, + { + "epoch": 0.91, + "learning_rate": 2.26733314753923e-07, + "loss": 0.8408, + "step": 30861 + }, + { + "epoch": 0.91, + "learning_rate": 2.2659169080501086e-07, + "loss": 0.5982, + "step": 30862 + }, + { + "epoch": 0.91, + "learning_rate": 2.2645011007556672e-07, + "loss": 0.7108, + "step": 30863 + }, + { + "epoch": 0.91, + "learning_rate": 2.2630857256687344e-07, + "loss": 0.6418, + "step": 30864 + }, + { + "epoch": 0.91, + "learning_rate": 2.261670782802111e-07, + "loss": 0.8878, + "step": 30865 + }, + { + "epoch": 0.91, + "learning_rate": 2.260256272168626e-07, + "loss": 0.5626, + "step": 30866 + }, + { + "epoch": 0.91, + "learning_rate": 2.2588421937810634e-07, + "loss": 0.7276, + "step": 30867 + }, + { + "epoch": 0.91, + "learning_rate": 2.2574285476522406e-07, + "loss": 0.6703, + "step": 30868 + }, + { + "epoch": 0.91, + "learning_rate": 2.2560153337949586e-07, + "loss": 0.7342, + "step": 30869 + }, + { + "epoch": 0.91, + "learning_rate": 2.2546025522220017e-07, + "loss": 0.5125, + "step": 30870 + }, + { + "epoch": 0.91, + "learning_rate": 2.253190202946176e-07, + "loss": 0.6174, + "step": 30871 + }, + { + "epoch": 0.91, + "learning_rate": 2.2517782859802495e-07, + "loss": 0.7278, + "step": 30872 + }, + { + "epoch": 0.91, + "learning_rate": 2.250366801337034e-07, + "loss": 0.8025, + "step": 30873 + }, + { + "epoch": 0.91, + "learning_rate": 2.24895574902928e-07, + "loss": 0.9214, + "step": 30874 + }, + { + "epoch": 0.91, + "learning_rate": 2.247545129069789e-07, + "loss": 0.682, + "step": 30875 + }, + { + "epoch": 0.91, + "learning_rate": 2.2461349414713173e-07, + "loss": 0.6655, + "step": 30876 + }, + { + "epoch": 0.91, + "learning_rate": 2.244725186246638e-07, + "loss": 0.6176, + "step": 30877 + }, + { + "epoch": 0.91, + "learning_rate": 2.2433158634085128e-07, + "loss": 0.8394, + "step": 30878 + }, + { + "epoch": 0.91, + "learning_rate": 2.241906972969704e-07, + "loss": 0.7449, + "step": 30879 + }, + { + "epoch": 0.91, + "learning_rate": 2.240498514942968e-07, + "loss": 0.7697, + "step": 30880 + }, + { + "epoch": 0.91, + "learning_rate": 2.2390904893410615e-07, + "loss": 0.6948, + "step": 30881 + }, + { + "epoch": 0.91, + "learning_rate": 2.2376828961767129e-07, + "loss": 0.4355, + "step": 30882 + }, + { + "epoch": 0.91, + "learning_rate": 2.2362757354626953e-07, + "loss": 0.8676, + "step": 30883 + }, + { + "epoch": 0.91, + "learning_rate": 2.2348690072117317e-07, + "loss": 0.6721, + "step": 30884 + }, + { + "epoch": 0.91, + "learning_rate": 2.2334627114365737e-07, + "loss": 0.6289, + "step": 30885 + }, + { + "epoch": 0.91, + "learning_rate": 2.2320568481499328e-07, + "loss": 0.8975, + "step": 30886 + }, + { + "epoch": 0.91, + "learning_rate": 2.2306514173645544e-07, + "loss": 0.5427, + "step": 30887 + }, + { + "epoch": 0.91, + "learning_rate": 2.229246419093156e-07, + "loss": 0.8091, + "step": 30888 + }, + { + "epoch": 0.91, + "learning_rate": 2.2278418533484724e-07, + "loss": 0.9179, + "step": 30889 + }, + { + "epoch": 0.91, + "learning_rate": 2.2264377201431987e-07, + "loss": 0.9269, + "step": 30890 + }, + { + "epoch": 0.91, + "learning_rate": 2.2250340194900633e-07, + "loss": 1.1569, + "step": 30891 + }, + { + "epoch": 0.91, + "learning_rate": 2.2236307514017675e-07, + "loss": 0.8208, + "step": 30892 + }, + { + "epoch": 0.91, + "learning_rate": 2.222227915891023e-07, + "loss": 0.5264, + "step": 30893 + }, + { + "epoch": 0.91, + "learning_rate": 2.2208255129705313e-07, + "loss": 0.7847, + "step": 30894 + }, + { + "epoch": 0.91, + "learning_rate": 2.2194235426529874e-07, + "loss": 0.823, + "step": 30895 + }, + { + "epoch": 0.91, + "learning_rate": 2.218022004951087e-07, + "loss": 0.8474, + "step": 30896 + }, + { + "epoch": 0.91, + "learning_rate": 2.216620899877514e-07, + "loss": 0.6337, + "step": 30897 + }, + { + "epoch": 0.91, + "learning_rate": 2.2152202274449698e-07, + "loss": 0.7407, + "step": 30898 + }, + { + "epoch": 0.91, + "learning_rate": 2.2138199876661104e-07, + "loss": 0.7868, + "step": 30899 + }, + { + "epoch": 0.91, + "learning_rate": 2.2124201805536427e-07, + "loss": 0.5534, + "step": 30900 + }, + { + "epoch": 0.91, + "learning_rate": 2.211020806120212e-07, + "loss": 0.7267, + "step": 30901 + }, + { + "epoch": 0.91, + "learning_rate": 2.2096218643785195e-07, + "loss": 0.6887, + "step": 30902 + }, + { + "epoch": 0.91, + "learning_rate": 2.2082233553412046e-07, + "loss": 0.7323, + "step": 30903 + }, + { + "epoch": 0.91, + "learning_rate": 2.2068252790209522e-07, + "loss": 0.606, + "step": 30904 + }, + { + "epoch": 0.91, + "learning_rate": 2.205427635430396e-07, + "loss": 0.5365, + "step": 30905 + }, + { + "epoch": 0.91, + "learning_rate": 2.2040304245822152e-07, + "loss": 0.7678, + "step": 30906 + }, + { + "epoch": 0.91, + "learning_rate": 2.202633646489044e-07, + "loss": 0.4791, + "step": 30907 + }, + { + "epoch": 0.91, + "learning_rate": 2.2012373011635392e-07, + "loss": 0.8728, + "step": 30908 + }, + { + "epoch": 0.91, + "learning_rate": 2.1998413886183346e-07, + "loss": 0.8493, + "step": 30909 + }, + { + "epoch": 0.91, + "learning_rate": 2.1984459088660759e-07, + "loss": 0.8095, + "step": 30910 + }, + { + "epoch": 0.91, + "learning_rate": 2.197050861919392e-07, + "loss": 0.878, + "step": 30911 + }, + { + "epoch": 0.91, + "learning_rate": 2.195656247790917e-07, + "loss": 0.5861, + "step": 30912 + }, + { + "epoch": 0.91, + "learning_rate": 2.1942620664932858e-07, + "loss": 0.7903, + "step": 30913 + }, + { + "epoch": 0.91, + "learning_rate": 2.192868318039104e-07, + "loss": 0.9046, + "step": 30914 + }, + { + "epoch": 0.91, + "learning_rate": 2.1914750024410125e-07, + "loss": 0.4662, + "step": 30915 + }, + { + "epoch": 0.91, + "learning_rate": 2.1900821197116062e-07, + "loss": 0.8814, + "step": 30916 + }, + { + "epoch": 0.91, + "learning_rate": 2.188689669863514e-07, + "loss": 0.6867, + "step": 30917 + }, + { + "epoch": 0.91, + "learning_rate": 2.187297652909326e-07, + "loss": 0.7484, + "step": 30918 + }, + { + "epoch": 0.91, + "learning_rate": 2.1859060688616595e-07, + "loss": 0.8189, + "step": 30919 + }, + { + "epoch": 0.91, + "learning_rate": 2.1845149177331105e-07, + "loss": 0.7779, + "step": 30920 + }, + { + "epoch": 0.91, + "learning_rate": 2.1831241995362684e-07, + "loss": 0.6644, + "step": 30921 + }, + { + "epoch": 0.91, + "learning_rate": 2.1817339142837346e-07, + "loss": 0.6722, + "step": 30922 + }, + { + "epoch": 0.91, + "learning_rate": 2.1803440619880988e-07, + "loss": 0.6425, + "step": 30923 + }, + { + "epoch": 0.91, + "learning_rate": 2.178954642661929e-07, + "loss": 0.6878, + "step": 30924 + }, + { + "epoch": 0.91, + "learning_rate": 2.177565656317826e-07, + "loss": 0.6329, + "step": 30925 + }, + { + "epoch": 0.91, + "learning_rate": 2.1761771029683464e-07, + "loss": 0.6044, + "step": 30926 + }, + { + "epoch": 0.91, + "learning_rate": 2.1747889826260805e-07, + "loss": 1.0176, + "step": 30927 + }, + { + "epoch": 0.91, + "learning_rate": 2.1734012953035788e-07, + "loss": 0.8484, + "step": 30928 + }, + { + "epoch": 0.91, + "learning_rate": 2.1720140410134262e-07, + "loss": 0.7613, + "step": 30929 + }, + { + "epoch": 0.91, + "learning_rate": 2.1706272197681622e-07, + "loss": 0.9881, + "step": 30930 + }, + { + "epoch": 0.91, + "learning_rate": 2.1692408315803493e-07, + "loss": 0.7789, + "step": 30931 + }, + { + "epoch": 0.91, + "learning_rate": 2.167854876462555e-07, + "loss": 0.6735, + "step": 30932 + }, + { + "epoch": 0.91, + "learning_rate": 2.1664693544273086e-07, + "loss": 0.516, + "step": 30933 + }, + { + "epoch": 0.91, + "learning_rate": 2.165084265487172e-07, + "loss": 0.8393, + "step": 30934 + }, + { + "epoch": 0.91, + "learning_rate": 2.163699609654668e-07, + "loss": 0.7978, + "step": 30935 + }, + { + "epoch": 0.91, + "learning_rate": 2.1623153869423487e-07, + "loss": 0.6738, + "step": 30936 + }, + { + "epoch": 0.91, + "learning_rate": 2.1609315973627364e-07, + "loss": 0.6454, + "step": 30937 + }, + { + "epoch": 0.91, + "learning_rate": 2.159548240928372e-07, + "loss": 0.6228, + "step": 30938 + }, + { + "epoch": 0.91, + "learning_rate": 2.158165317651767e-07, + "loss": 0.8174, + "step": 30939 + }, + { + "epoch": 0.91, + "learning_rate": 2.156782827545456e-07, + "loss": 0.8158, + "step": 30940 + }, + { + "epoch": 0.91, + "learning_rate": 2.155400770621935e-07, + "loss": 0.4683, + "step": 30941 + }, + { + "epoch": 0.91, + "learning_rate": 2.1540191468937488e-07, + "loss": 0.9194, + "step": 30942 + }, + { + "epoch": 0.91, + "learning_rate": 2.1526379563733823e-07, + "loss": 0.6791, + "step": 30943 + }, + { + "epoch": 0.91, + "learning_rate": 2.1512571990733532e-07, + "loss": 0.66, + "step": 30944 + }, + { + "epoch": 0.91, + "learning_rate": 2.149876875006157e-07, + "loss": 0.9645, + "step": 30945 + }, + { + "epoch": 0.91, + "learning_rate": 2.148496984184295e-07, + "loss": 0.6967, + "step": 30946 + }, + { + "epoch": 0.91, + "learning_rate": 2.147117526620257e-07, + "loss": 0.742, + "step": 30947 + }, + { + "epoch": 0.91, + "learning_rate": 2.1457385023265442e-07, + "loss": 0.7565, + "step": 30948 + }, + { + "epoch": 0.91, + "learning_rate": 2.1443599113156245e-07, + "loss": 0.8024, + "step": 30949 + }, + { + "epoch": 0.91, + "learning_rate": 2.142981753599993e-07, + "loss": 0.5306, + "step": 30950 + }, + { + "epoch": 0.91, + "learning_rate": 2.1416040291921237e-07, + "loss": 0.7674, + "step": 30951 + }, + { + "epoch": 0.91, + "learning_rate": 2.140226738104484e-07, + "loss": 0.5653, + "step": 30952 + }, + { + "epoch": 0.91, + "learning_rate": 2.1388498803495638e-07, + "loss": 0.5891, + "step": 30953 + }, + { + "epoch": 0.91, + "learning_rate": 2.1374734559398092e-07, + "loss": 0.699, + "step": 30954 + }, + { + "epoch": 0.91, + "learning_rate": 2.1360974648876988e-07, + "loss": 0.6697, + "step": 30955 + }, + { + "epoch": 0.91, + "learning_rate": 2.1347219072056724e-07, + "loss": 0.8585, + "step": 30956 + }, + { + "epoch": 0.91, + "learning_rate": 2.1333467829062039e-07, + "loss": 0.7089, + "step": 30957 + }, + { + "epoch": 0.91, + "learning_rate": 2.1319720920017272e-07, + "loss": 0.8101, + "step": 30958 + }, + { + "epoch": 0.91, + "learning_rate": 2.1305978345047106e-07, + "loss": 0.6829, + "step": 30959 + }, + { + "epoch": 0.91, + "learning_rate": 2.1292240104275608e-07, + "loss": 0.5026, + "step": 30960 + }, + { + "epoch": 0.91, + "learning_rate": 2.1278506197827564e-07, + "loss": 0.6236, + "step": 30961 + }, + { + "epoch": 0.91, + "learning_rate": 2.12647766258271e-07, + "loss": 0.7549, + "step": 30962 + }, + { + "epoch": 0.91, + "learning_rate": 2.125105138839867e-07, + "loss": 0.6984, + "step": 30963 + }, + { + "epoch": 0.91, + "learning_rate": 2.123733048566634e-07, + "loss": 0.8378, + "step": 30964 + }, + { + "epoch": 0.91, + "learning_rate": 2.1223613917754514e-07, + "loss": 0.6926, + "step": 30965 + }, + { + "epoch": 0.91, + "learning_rate": 2.1209901684787316e-07, + "loss": 0.787, + "step": 30966 + }, + { + "epoch": 0.91, + "learning_rate": 2.119619378688892e-07, + "loss": 0.5661, + "step": 30967 + }, + { + "epoch": 0.91, + "learning_rate": 2.1182490224183394e-07, + "loss": 0.8331, + "step": 30968 + }, + { + "epoch": 0.91, + "learning_rate": 2.116879099679492e-07, + "loss": 0.6951, + "step": 30969 + }, + { + "epoch": 0.91, + "learning_rate": 2.1155096104847395e-07, + "loss": 0.6076, + "step": 30970 + }, + { + "epoch": 0.91, + "learning_rate": 2.1141405548464888e-07, + "loss": 0.6738, + "step": 30971 + }, + { + "epoch": 0.91, + "learning_rate": 2.1127719327771413e-07, + "loss": 0.6881, + "step": 30972 + }, + { + "epoch": 0.91, + "learning_rate": 2.1114037442890755e-07, + "loss": 0.7125, + "step": 30973 + }, + { + "epoch": 0.91, + "learning_rate": 2.110035989394693e-07, + "loss": 0.813, + "step": 30974 + }, + { + "epoch": 0.91, + "learning_rate": 2.1086686681063617e-07, + "loss": 0.6892, + "step": 30975 + }, + { + "epoch": 0.91, + "learning_rate": 2.1073017804364826e-07, + "loss": 0.6799, + "step": 30976 + }, + { + "epoch": 0.91, + "learning_rate": 2.1059353263974126e-07, + "loss": 0.9458, + "step": 30977 + }, + { + "epoch": 0.91, + "learning_rate": 2.1045693060015416e-07, + "loss": 0.7202, + "step": 30978 + }, + { + "epoch": 0.91, + "learning_rate": 2.1032037192612154e-07, + "loss": 0.6556, + "step": 30979 + }, + { + "epoch": 0.91, + "learning_rate": 2.101838566188813e-07, + "loss": 0.7048, + "step": 30980 + }, + { + "epoch": 0.91, + "learning_rate": 2.1004738467966968e-07, + "loss": 0.5435, + "step": 30981 + }, + { + "epoch": 0.91, + "learning_rate": 2.099109561097218e-07, + "loss": 0.4719, + "step": 30982 + }, + { + "epoch": 0.91, + "learning_rate": 2.0977457091027276e-07, + "loss": 0.732, + "step": 30983 + }, + { + "epoch": 0.91, + "learning_rate": 2.0963822908255826e-07, + "loss": 0.6491, + "step": 30984 + }, + { + "epoch": 0.91, + "learning_rate": 2.0950193062781177e-07, + "loss": 0.5482, + "step": 30985 + }, + { + "epoch": 0.91, + "learning_rate": 2.093656755472684e-07, + "loss": 0.698, + "step": 30986 + }, + { + "epoch": 0.91, + "learning_rate": 2.0922946384216048e-07, + "loss": 0.8289, + "step": 30987 + }, + { + "epoch": 0.91, + "learning_rate": 2.090932955137226e-07, + "loss": 0.5839, + "step": 30988 + }, + { + "epoch": 0.91, + "learning_rate": 2.0895717056318653e-07, + "loss": 0.6904, + "step": 30989 + }, + { + "epoch": 0.91, + "learning_rate": 2.088210889917852e-07, + "loss": 0.6562, + "step": 30990 + }, + { + "epoch": 0.91, + "learning_rate": 2.086850508007521e-07, + "loss": 0.661, + "step": 30991 + }, + { + "epoch": 0.91, + "learning_rate": 2.0854905599131615e-07, + "loss": 0.7082, + "step": 30992 + }, + { + "epoch": 0.91, + "learning_rate": 2.0841310456471142e-07, + "loss": 0.5752, + "step": 30993 + }, + { + "epoch": 0.91, + "learning_rate": 2.0827719652216694e-07, + "loss": 0.768, + "step": 30994 + }, + { + "epoch": 0.91, + "learning_rate": 2.0814133186491502e-07, + "loss": 0.4334, + "step": 30995 + }, + { + "epoch": 0.91, + "learning_rate": 2.0800551059418362e-07, + "loss": 0.7101, + "step": 30996 + }, + { + "epoch": 0.91, + "learning_rate": 2.0786973271120447e-07, + "loss": 0.5949, + "step": 30997 + }, + { + "epoch": 0.91, + "learning_rate": 2.0773399821720497e-07, + "loss": 0.8397, + "step": 30998 + }, + { + "epoch": 0.91, + "learning_rate": 2.0759830711341634e-07, + "loss": 0.6647, + "step": 30999 + }, + { + "epoch": 0.91, + "learning_rate": 2.074626594010648e-07, + "loss": 1.0242, + "step": 31000 + }, + { + "epoch": 0.91, + "learning_rate": 2.0732705508138107e-07, + "loss": 0.8232, + "step": 31001 + }, + { + "epoch": 0.91, + "learning_rate": 2.071914941555908e-07, + "loss": 0.8294, + "step": 31002 + }, + { + "epoch": 0.91, + "learning_rate": 2.0705597662492306e-07, + "loss": 0.749, + "step": 31003 + }, + { + "epoch": 0.91, + "learning_rate": 2.069205024906029e-07, + "loss": 0.9175, + "step": 31004 + }, + { + "epoch": 0.91, + "learning_rate": 2.0678507175385943e-07, + "loss": 0.7053, + "step": 31005 + }, + { + "epoch": 0.91, + "learning_rate": 2.066496844159166e-07, + "loss": 0.7599, + "step": 31006 + }, + { + "epoch": 0.91, + "learning_rate": 2.0651434047800124e-07, + "loss": 0.5107, + "step": 31007 + }, + { + "epoch": 0.91, + "learning_rate": 2.0637903994133845e-07, + "loss": 0.7022, + "step": 31008 + }, + { + "epoch": 0.91, + "learning_rate": 2.062437828071545e-07, + "loss": 0.5004, + "step": 31009 + }, + { + "epoch": 0.91, + "learning_rate": 2.0610856907667176e-07, + "loss": 0.9266, + "step": 31010 + }, + { + "epoch": 0.91, + "learning_rate": 2.059733987511159e-07, + "loss": 0.7399, + "step": 31011 + }, + { + "epoch": 0.91, + "learning_rate": 2.0583827183171147e-07, + "loss": 0.906, + "step": 31012 + }, + { + "epoch": 0.91, + "learning_rate": 2.0570318831968029e-07, + "loss": 0.6982, + "step": 31013 + }, + { + "epoch": 0.91, + "learning_rate": 2.0556814821624694e-07, + "loss": 0.7113, + "step": 31014 + }, + { + "epoch": 0.91, + "learning_rate": 2.054331515226332e-07, + "loss": 0.5596, + "step": 31015 + }, + { + "epoch": 0.91, + "learning_rate": 2.0529819824006147e-07, + "loss": 0.7994, + "step": 31016 + }, + { + "epoch": 0.91, + "learning_rate": 2.0516328836975353e-07, + "loss": 0.525, + "step": 31017 + }, + { + "epoch": 0.91, + "learning_rate": 2.050284219129317e-07, + "loss": 0.7775, + "step": 31018 + }, + { + "epoch": 0.91, + "learning_rate": 2.0489359887081616e-07, + "loss": 0.5553, + "step": 31019 + }, + { + "epoch": 0.91, + "learning_rate": 2.0475881924462758e-07, + "loss": 0.8312, + "step": 31020 + }, + { + "epoch": 0.91, + "learning_rate": 2.0462408303558666e-07, + "loss": 0.551, + "step": 31021 + }, + { + "epoch": 0.91, + "learning_rate": 2.044893902449141e-07, + "loss": 0.789, + "step": 31022 + }, + { + "epoch": 0.91, + "learning_rate": 2.043547408738278e-07, + "loss": 0.6, + "step": 31023 + }, + { + "epoch": 0.91, + "learning_rate": 2.0422013492354842e-07, + "loss": 0.8454, + "step": 31024 + }, + { + "epoch": 0.91, + "learning_rate": 2.0408557239529392e-07, + "loss": 0.5909, + "step": 31025 + }, + { + "epoch": 0.91, + "learning_rate": 2.0395105329028275e-07, + "loss": 0.4966, + "step": 31026 + }, + { + "epoch": 0.91, + "learning_rate": 2.0381657760973283e-07, + "loss": 0.4052, + "step": 31027 + }, + { + "epoch": 0.91, + "learning_rate": 2.0368214535486208e-07, + "loss": 0.5949, + "step": 31028 + }, + { + "epoch": 0.91, + "learning_rate": 2.035477565268873e-07, + "loss": 0.6408, + "step": 31029 + }, + { + "epoch": 0.91, + "learning_rate": 2.0341341112702472e-07, + "loss": 0.8152, + "step": 31030 + }, + { + "epoch": 0.91, + "learning_rate": 2.0327910915649286e-07, + "loss": 0.763, + "step": 31031 + }, + { + "epoch": 0.91, + "learning_rate": 2.0314485061650512e-07, + "loss": 0.5423, + "step": 31032 + }, + { + "epoch": 0.91, + "learning_rate": 2.0301063550827892e-07, + "loss": 0.6793, + "step": 31033 + }, + { + "epoch": 0.91, + "learning_rate": 2.0287646383302827e-07, + "loss": 0.7052, + "step": 31034 + }, + { + "epoch": 0.91, + "learning_rate": 2.0274233559196888e-07, + "loss": 0.6167, + "step": 31035 + }, + { + "epoch": 0.91, + "learning_rate": 2.0260825078631473e-07, + "loss": 0.7866, + "step": 31036 + }, + { + "epoch": 0.91, + "learning_rate": 2.0247420941728047e-07, + "loss": 0.585, + "step": 31037 + }, + { + "epoch": 0.91, + "learning_rate": 2.023402114860784e-07, + "loss": 0.8643, + "step": 31038 + }, + { + "epoch": 0.91, + "learning_rate": 2.022062569939226e-07, + "loss": 0.5142, + "step": 31039 + }, + { + "epoch": 0.91, + "learning_rate": 2.0207234594202596e-07, + "loss": 0.5972, + "step": 31040 + }, + { + "epoch": 0.91, + "learning_rate": 2.019384783316014e-07, + "loss": 0.8131, + "step": 31041 + }, + { + "epoch": 0.91, + "learning_rate": 2.0180465416385962e-07, + "loss": 0.6582, + "step": 31042 + }, + { + "epoch": 0.91, + "learning_rate": 2.0167087344001413e-07, + "loss": 0.5604, + "step": 31043 + }, + { + "epoch": 0.91, + "learning_rate": 2.0153713616127447e-07, + "loss": 0.8313, + "step": 31044 + }, + { + "epoch": 0.91, + "learning_rate": 2.01403442328853e-07, + "loss": 0.9314, + "step": 31045 + }, + { + "epoch": 0.91, + "learning_rate": 2.0126979194395934e-07, + "loss": 0.5096, + "step": 31046 + }, + { + "epoch": 0.91, + "learning_rate": 2.0113618500780363e-07, + "loss": 0.5597, + "step": 31047 + }, + { + "epoch": 0.91, + "learning_rate": 2.0100262152159544e-07, + "loss": 0.7926, + "step": 31048 + }, + { + "epoch": 0.91, + "learning_rate": 2.0086910148654437e-07, + "loss": 0.6075, + "step": 31049 + }, + { + "epoch": 0.91, + "learning_rate": 2.0073562490385945e-07, + "loss": 0.8337, + "step": 31050 + }, + { + "epoch": 0.91, + "learning_rate": 2.0060219177474916e-07, + "loss": 0.5937, + "step": 31051 + }, + { + "epoch": 0.91, + "learning_rate": 2.004688021004214e-07, + "loss": 0.8653, + "step": 31052 + }, + { + "epoch": 0.91, + "learning_rate": 2.0033545588208413e-07, + "loss": 0.8221, + "step": 31053 + }, + { + "epoch": 0.91, + "learning_rate": 2.0020215312094472e-07, + "loss": 0.6783, + "step": 31054 + }, + { + "epoch": 0.91, + "learning_rate": 2.0006889381820937e-07, + "loss": 0.7903, + "step": 31055 + }, + { + "epoch": 0.91, + "learning_rate": 1.9993567797508606e-07, + "loss": 0.5302, + "step": 31056 + }, + { + "epoch": 0.91, + "learning_rate": 1.9980250559277992e-07, + "loss": 0.6151, + "step": 31057 + }, + { + "epoch": 0.91, + "learning_rate": 1.996693766724972e-07, + "loss": 0.7151, + "step": 31058 + }, + { + "epoch": 0.91, + "learning_rate": 1.9953629121544195e-07, + "loss": 0.5892, + "step": 31059 + }, + { + "epoch": 0.91, + "learning_rate": 1.994032492228215e-07, + "loss": 0.9706, + "step": 31060 + }, + { + "epoch": 0.91, + "learning_rate": 1.9927025069583827e-07, + "loss": 0.8894, + "step": 31061 + }, + { + "epoch": 0.91, + "learning_rate": 1.991372956356985e-07, + "loss": 0.9567, + "step": 31062 + }, + { + "epoch": 0.91, + "learning_rate": 1.99004384043604e-07, + "loss": 0.7054, + "step": 31063 + }, + { + "epoch": 0.91, + "learning_rate": 1.9887151592075938e-07, + "loss": 0.7864, + "step": 31064 + }, + { + "epoch": 0.91, + "learning_rate": 1.98738691268367e-07, + "loss": 0.7426, + "step": 31065 + }, + { + "epoch": 0.91, + "learning_rate": 1.9860591008763087e-07, + "loss": 1.1512, + "step": 31066 + }, + { + "epoch": 0.91, + "learning_rate": 1.9847317237975062e-07, + "loss": 0.7703, + "step": 31067 + }, + { + "epoch": 0.91, + "learning_rate": 1.9834047814593083e-07, + "loss": 1.0258, + "step": 31068 + }, + { + "epoch": 0.91, + "learning_rate": 1.982078273873711e-07, + "loss": 0.6924, + "step": 31069 + }, + { + "epoch": 0.91, + "learning_rate": 1.9807522010527323e-07, + "loss": 0.8208, + "step": 31070 + }, + { + "epoch": 0.91, + "learning_rate": 1.9794265630083798e-07, + "loss": 0.8422, + "step": 31071 + }, + { + "epoch": 0.91, + "learning_rate": 1.9781013597526543e-07, + "loss": 0.6169, + "step": 31072 + }, + { + "epoch": 0.91, + "learning_rate": 1.9767765912975522e-07, + "loss": 0.5396, + "step": 31073 + }, + { + "epoch": 0.91, + "learning_rate": 1.9754522576550693e-07, + "loss": 0.8127, + "step": 31074 + }, + { + "epoch": 0.91, + "learning_rate": 1.9741283588372017e-07, + "loss": 0.6943, + "step": 31075 + }, + { + "epoch": 0.91, + "learning_rate": 1.9728048948559288e-07, + "loss": 0.6423, + "step": 31076 + }, + { + "epoch": 0.91, + "learning_rate": 1.9714818657232404e-07, + "loss": 0.7272, + "step": 31077 + }, + { + "epoch": 0.91, + "learning_rate": 1.9701592714511053e-07, + "loss": 0.3201, + "step": 31078 + }, + { + "epoch": 0.91, + "learning_rate": 1.968837112051508e-07, + "loss": 0.5717, + "step": 31079 + }, + { + "epoch": 0.91, + "learning_rate": 1.9675153875364116e-07, + "loss": 0.6466, + "step": 31080 + }, + { + "epoch": 0.91, + "learning_rate": 1.966194097917795e-07, + "loss": 0.7153, + "step": 31081 + }, + { + "epoch": 0.91, + "learning_rate": 1.9648732432076102e-07, + "loss": 0.7748, + "step": 31082 + }, + { + "epoch": 0.91, + "learning_rate": 1.9635528234178304e-07, + "loss": 0.7776, + "step": 31083 + }, + { + "epoch": 0.91, + "learning_rate": 1.9622328385603907e-07, + "loss": 0.4935, + "step": 31084 + }, + { + "epoch": 0.91, + "learning_rate": 1.9609132886472593e-07, + "loss": 0.6783, + "step": 31085 + }, + { + "epoch": 0.91, + "learning_rate": 1.9595941736903766e-07, + "loss": 0.6866, + "step": 31086 + }, + { + "epoch": 0.91, + "learning_rate": 1.958275493701689e-07, + "loss": 0.7188, + "step": 31087 + }, + { + "epoch": 0.91, + "learning_rate": 1.956957248693131e-07, + "loss": 0.7196, + "step": 31088 + }, + { + "epoch": 0.91, + "learning_rate": 1.9556394386766375e-07, + "loss": 0.7842, + "step": 31089 + }, + { + "epoch": 0.91, + "learning_rate": 1.9543220636641547e-07, + "loss": 0.8458, + "step": 31090 + }, + { + "epoch": 0.91, + "learning_rate": 1.953005123667595e-07, + "loss": 1.0662, + "step": 31091 + }, + { + "epoch": 0.91, + "learning_rate": 1.9516886186988883e-07, + "loss": 0.782, + "step": 31092 + }, + { + "epoch": 0.91, + "learning_rate": 1.950372548769952e-07, + "loss": 0.6115, + "step": 31093 + }, + { + "epoch": 0.91, + "learning_rate": 1.949056913892705e-07, + "loss": 0.7406, + "step": 31094 + }, + { + "epoch": 0.91, + "learning_rate": 1.94774171407906e-07, + "loss": 0.669, + "step": 31095 + }, + { + "epoch": 0.91, + "learning_rate": 1.9464269493409238e-07, + "loss": 0.5634, + "step": 31096 + }, + { + "epoch": 0.91, + "learning_rate": 1.9451126196901925e-07, + "loss": 0.6318, + "step": 31097 + }, + { + "epoch": 0.91, + "learning_rate": 1.943798725138779e-07, + "loss": 0.8061, + "step": 31098 + }, + { + "epoch": 0.91, + "learning_rate": 1.9424852656985683e-07, + "loss": 0.8827, + "step": 31099 + }, + { + "epoch": 0.91, + "learning_rate": 1.9411722413814672e-07, + "loss": 1.1427, + "step": 31100 + }, + { + "epoch": 0.91, + "learning_rate": 1.9398596521993497e-07, + "loss": 0.7492, + "step": 31101 + }, + { + "epoch": 0.91, + "learning_rate": 1.9385474981641117e-07, + "loss": 0.7874, + "step": 31102 + }, + { + "epoch": 0.91, + "learning_rate": 1.9372357792876273e-07, + "loss": 0.7164, + "step": 31103 + }, + { + "epoch": 0.91, + "learning_rate": 1.9359244955817758e-07, + "loss": 0.5589, + "step": 31104 + }, + { + "epoch": 0.91, + "learning_rate": 1.93461364705842e-07, + "loss": 0.5396, + "step": 31105 + }, + { + "epoch": 0.91, + "learning_rate": 1.9333032337294443e-07, + "loss": 0.9652, + "step": 31106 + }, + { + "epoch": 0.91, + "learning_rate": 1.931993255606701e-07, + "loss": 0.413, + "step": 31107 + }, + { + "epoch": 0.91, + "learning_rate": 1.9306837127020583e-07, + "loss": 0.8094, + "step": 31108 + }, + { + "epoch": 0.91, + "learning_rate": 1.9293746050273732e-07, + "loss": 0.642, + "step": 31109 + }, + { + "epoch": 0.91, + "learning_rate": 1.9280659325944918e-07, + "loss": 0.7503, + "step": 31110 + }, + { + "epoch": 0.91, + "learning_rate": 1.9267576954152712e-07, + "loss": 0.8963, + "step": 31111 + }, + { + "epoch": 0.91, + "learning_rate": 1.9254498935015465e-07, + "loss": 0.7946, + "step": 31112 + }, + { + "epoch": 0.91, + "learning_rate": 1.9241425268651693e-07, + "loss": 0.888, + "step": 31113 + }, + { + "epoch": 0.91, + "learning_rate": 1.922835595517969e-07, + "loss": 0.7983, + "step": 31114 + }, + { + "epoch": 0.91, + "learning_rate": 1.9215290994717916e-07, + "loss": 0.7361, + "step": 31115 + }, + { + "epoch": 0.91, + "learning_rate": 1.9202230387384446e-07, + "loss": 0.7794, + "step": 31116 + }, + { + "epoch": 0.91, + "learning_rate": 1.9189174133297738e-07, + "loss": 0.8915, + "step": 31117 + }, + { + "epoch": 0.91, + "learning_rate": 1.9176122232575866e-07, + "loss": 0.7358, + "step": 31118 + }, + { + "epoch": 0.91, + "learning_rate": 1.9163074685337125e-07, + "loss": 0.7456, + "step": 31119 + }, + { + "epoch": 0.91, + "learning_rate": 1.915003149169953e-07, + "loss": 0.7329, + "step": 31120 + }, + { + "epoch": 0.91, + "learning_rate": 1.9136992651781315e-07, + "loss": 0.6582, + "step": 31121 + }, + { + "epoch": 0.91, + "learning_rate": 1.9123958165700396e-07, + "loss": 1.0716, + "step": 31122 + }, + { + "epoch": 0.91, + "learning_rate": 1.9110928033574894e-07, + "loss": 0.7272, + "step": 31123 + }, + { + "epoch": 0.91, + "learning_rate": 1.9097902255522716e-07, + "loss": 0.9042, + "step": 31124 + }, + { + "epoch": 0.91, + "learning_rate": 1.9084880831661822e-07, + "loss": 0.9707, + "step": 31125 + }, + { + "epoch": 0.91, + "learning_rate": 1.907186376211012e-07, + "loss": 0.8077, + "step": 31126 + }, + { + "epoch": 0.91, + "learning_rate": 1.9058851046985517e-07, + "loss": 0.5322, + "step": 31127 + }, + { + "epoch": 0.91, + "learning_rate": 1.9045842686405747e-07, + "loss": 0.5339, + "step": 31128 + }, + { + "epoch": 0.91, + "learning_rate": 1.9032838680488552e-07, + "loss": 0.9185, + "step": 31129 + }, + { + "epoch": 0.91, + "learning_rate": 1.9019839029351894e-07, + "loss": 0.8158, + "step": 31130 + }, + { + "epoch": 0.91, + "learning_rate": 1.9006843733113234e-07, + "loss": 0.6154, + "step": 31131 + }, + { + "epoch": 0.91, + "learning_rate": 1.8993852791890366e-07, + "loss": 0.7938, + "step": 31132 + }, + { + "epoch": 0.91, + "learning_rate": 1.8980866205800862e-07, + "loss": 0.6666, + "step": 31133 + }, + { + "epoch": 0.91, + "learning_rate": 1.8967883974962354e-07, + "loss": 0.7969, + "step": 31134 + }, + { + "epoch": 0.91, + "learning_rate": 1.8954906099492242e-07, + "loss": 0.953, + "step": 31135 + }, + { + "epoch": 0.91, + "learning_rate": 1.8941932579508272e-07, + "loss": 0.6441, + "step": 31136 + }, + { + "epoch": 0.91, + "learning_rate": 1.8928963415127677e-07, + "loss": 0.5527, + "step": 31137 + }, + { + "epoch": 0.91, + "learning_rate": 1.891599860646798e-07, + "loss": 0.5695, + "step": 31138 + }, + { + "epoch": 0.91, + "learning_rate": 1.890303815364658e-07, + "loss": 0.6889, + "step": 31139 + }, + { + "epoch": 0.91, + "learning_rate": 1.889008205678089e-07, + "loss": 0.7986, + "step": 31140 + }, + { + "epoch": 0.91, + "learning_rate": 1.8877130315988091e-07, + "loss": 0.6937, + "step": 31141 + }, + { + "epoch": 0.91, + "learning_rate": 1.8864182931385532e-07, + "loss": 0.6502, + "step": 31142 + }, + { + "epoch": 0.91, + "learning_rate": 1.8851239903090345e-07, + "loss": 0.5047, + "step": 31143 + }, + { + "epoch": 0.91, + "learning_rate": 1.8838301231219826e-07, + "loss": 0.7485, + "step": 31144 + }, + { + "epoch": 0.92, + "learning_rate": 1.8825366915891042e-07, + "loss": 0.7258, + "step": 31145 + }, + { + "epoch": 0.92, + "learning_rate": 1.8812436957221235e-07, + "loss": 0.8721, + "step": 31146 + }, + { + "epoch": 0.92, + "learning_rate": 1.8799511355327316e-07, + "loss": 0.7079, + "step": 31147 + }, + { + "epoch": 0.92, + "learning_rate": 1.8786590110326351e-07, + "loss": 0.6656, + "step": 31148 + }, + { + "epoch": 0.92, + "learning_rate": 1.8773673222335421e-07, + "loss": 0.8205, + "step": 31149 + }, + { + "epoch": 0.92, + "learning_rate": 1.8760760691471368e-07, + "loss": 0.5793, + "step": 31150 + }, + { + "epoch": 0.92, + "learning_rate": 1.8747852517851273e-07, + "loss": 0.8102, + "step": 31151 + }, + { + "epoch": 0.92, + "learning_rate": 1.873494870159176e-07, + "loss": 0.5525, + "step": 31152 + }, + { + "epoch": 0.92, + "learning_rate": 1.8722049242809904e-07, + "loss": 0.5538, + "step": 31153 + }, + { + "epoch": 0.92, + "learning_rate": 1.8709154141622333e-07, + "loss": 0.6709, + "step": 31154 + }, + { + "epoch": 0.92, + "learning_rate": 1.8696263398145898e-07, + "loss": 0.7727, + "step": 31155 + }, + { + "epoch": 0.92, + "learning_rate": 1.8683377012497228e-07, + "loss": 0.7885, + "step": 31156 + }, + { + "epoch": 0.92, + "learning_rate": 1.8670494984793065e-07, + "loss": 0.5162, + "step": 31157 + }, + { + "epoch": 0.92, + "learning_rate": 1.865761731514998e-07, + "loss": 0.7413, + "step": 31158 + }, + { + "epoch": 0.92, + "learning_rate": 1.864474400368471e-07, + "loss": 0.6646, + "step": 31159 + }, + { + "epoch": 0.92, + "learning_rate": 1.863187505051367e-07, + "loss": 0.7918, + "step": 31160 + }, + { + "epoch": 0.92, + "learning_rate": 1.8619010455753538e-07, + "loss": 0.5748, + "step": 31161 + }, + { + "epoch": 0.92, + "learning_rate": 1.8606150219520558e-07, + "loss": 0.6456, + "step": 31162 + }, + { + "epoch": 0.92, + "learning_rate": 1.859329434193141e-07, + "loss": 0.5305, + "step": 31163 + }, + { + "epoch": 0.92, + "learning_rate": 1.8580442823102284e-07, + "loss": 1.0976, + "step": 31164 + }, + { + "epoch": 0.92, + "learning_rate": 1.8567595663149694e-07, + "loss": 0.6867, + "step": 31165 + }, + { + "epoch": 0.92, + "learning_rate": 1.8554752862189884e-07, + "loss": 0.5849, + "step": 31166 + }, + { + "epoch": 0.92, + "learning_rate": 1.8541914420339092e-07, + "loss": 0.611, + "step": 31167 + }, + { + "epoch": 0.92, + "learning_rate": 1.8529080337713667e-07, + "loss": 0.7665, + "step": 31168 + }, + { + "epoch": 0.92, + "learning_rate": 1.8516250614429853e-07, + "loss": 0.5997, + "step": 31169 + }, + { + "epoch": 0.92, + "learning_rate": 1.8503425250603723e-07, + "loss": 0.7423, + "step": 31170 + }, + { + "epoch": 0.92, + "learning_rate": 1.8490604246351297e-07, + "loss": 0.7655, + "step": 31171 + }, + { + "epoch": 0.92, + "learning_rate": 1.8477787601788866e-07, + "loss": 0.5717, + "step": 31172 + }, + { + "epoch": 0.92, + "learning_rate": 1.846497531703234e-07, + "loss": 0.6209, + "step": 31173 + }, + { + "epoch": 0.92, + "learning_rate": 1.8452167392197794e-07, + "loss": 0.8128, + "step": 31174 + }, + { + "epoch": 0.92, + "learning_rate": 1.843936382740108e-07, + "loss": 0.3852, + "step": 31175 + }, + { + "epoch": 0.92, + "learning_rate": 1.8426564622758325e-07, + "loss": 0.6293, + "step": 31176 + }, + { + "epoch": 0.92, + "learning_rate": 1.8413769778385106e-07, + "loss": 0.7159, + "step": 31177 + }, + { + "epoch": 0.92, + "learning_rate": 1.840097929439766e-07, + "loss": 0.633, + "step": 31178 + }, + { + "epoch": 0.92, + "learning_rate": 1.838819317091145e-07, + "loss": 0.4986, + "step": 31179 + }, + { + "epoch": 0.92, + "learning_rate": 1.83754114080425e-07, + "loss": 0.6105, + "step": 31180 + }, + { + "epoch": 0.92, + "learning_rate": 1.8362634005906376e-07, + "loss": 0.4711, + "step": 31181 + }, + { + "epoch": 0.92, + "learning_rate": 1.8349860964618881e-07, + "loss": 0.6651, + "step": 31182 + }, + { + "epoch": 0.92, + "learning_rate": 1.8337092284295532e-07, + "loss": 0.6633, + "step": 31183 + }, + { + "epoch": 0.92, + "learning_rate": 1.832432796505207e-07, + "loss": 0.7133, + "step": 31184 + }, + { + "epoch": 0.92, + "learning_rate": 1.8311568007003955e-07, + "loss": 0.6823, + "step": 31185 + }, + { + "epoch": 0.92, + "learning_rate": 1.829881241026682e-07, + "loss": 0.9584, + "step": 31186 + }, + { + "epoch": 0.92, + "learning_rate": 1.828606117495596e-07, + "loss": 0.5653, + "step": 31187 + }, + { + "epoch": 0.92, + "learning_rate": 1.8273314301187118e-07, + "loss": 0.5559, + "step": 31188 + }, + { + "epoch": 0.92, + "learning_rate": 1.8260571789075533e-07, + "loss": 0.6859, + "step": 31189 + }, + { + "epoch": 0.92, + "learning_rate": 1.8247833638736667e-07, + "loss": 0.8158, + "step": 31190 + }, + { + "epoch": 0.92, + "learning_rate": 1.8235099850285708e-07, + "loss": 0.6435, + "step": 31191 + }, + { + "epoch": 0.92, + "learning_rate": 1.822237042383812e-07, + "loss": 0.5384, + "step": 31192 + }, + { + "epoch": 0.92, + "learning_rate": 1.8209645359509032e-07, + "loss": 0.6333, + "step": 31193 + }, + { + "epoch": 0.92, + "learning_rate": 1.8196924657413738e-07, + "loss": 0.7688, + "step": 31194 + }, + { + "epoch": 0.92, + "learning_rate": 1.8184208317667374e-07, + "loss": 0.7322, + "step": 31195 + }, + { + "epoch": 0.92, + "learning_rate": 1.817149634038501e-07, + "loss": 0.7729, + "step": 31196 + }, + { + "epoch": 0.92, + "learning_rate": 1.815878872568183e-07, + "loss": 0.773, + "step": 31197 + }, + { + "epoch": 0.92, + "learning_rate": 1.8146085473672915e-07, + "loss": 0.6942, + "step": 31198 + }, + { + "epoch": 0.92, + "learning_rate": 1.813338658447328e-07, + "loss": 0.809, + "step": 31199 + }, + { + "epoch": 0.92, + "learning_rate": 1.8120692058197775e-07, + "loss": 0.8174, + "step": 31200 + }, + { + "epoch": 0.92, + "learning_rate": 1.8108001894961535e-07, + "loss": 0.9139, + "step": 31201 + }, + { + "epoch": 0.92, + "learning_rate": 1.8095316094879301e-07, + "loss": 0.5365, + "step": 31202 + }, + { + "epoch": 0.92, + "learning_rate": 1.8082634658066035e-07, + "loss": 0.6565, + "step": 31203 + }, + { + "epoch": 0.92, + "learning_rate": 1.8069957584636476e-07, + "loss": 0.8159, + "step": 31204 + }, + { + "epoch": 0.92, + "learning_rate": 1.8057284874705483e-07, + "loss": 0.854, + "step": 31205 + }, + { + "epoch": 0.92, + "learning_rate": 1.804461652838768e-07, + "loss": 0.7464, + "step": 31206 + }, + { + "epoch": 0.92, + "learning_rate": 1.8031952545797815e-07, + "loss": 0.8253, + "step": 31207 + }, + { + "epoch": 0.92, + "learning_rate": 1.8019292927050626e-07, + "loss": 0.6674, + "step": 31208 + }, + { + "epoch": 0.92, + "learning_rate": 1.8006637672260741e-07, + "loss": 0.8967, + "step": 31209 + }, + { + "epoch": 0.92, + "learning_rate": 1.7993986781542682e-07, + "loss": 0.7446, + "step": 31210 + }, + { + "epoch": 0.92, + "learning_rate": 1.798134025501097e-07, + "loss": 0.4043, + "step": 31211 + }, + { + "epoch": 0.92, + "learning_rate": 1.7968698092780124e-07, + "loss": 0.8158, + "step": 31212 + }, + { + "epoch": 0.92, + "learning_rate": 1.7956060294964717e-07, + "loss": 0.5616, + "step": 31213 + }, + { + "epoch": 0.92, + "learning_rate": 1.7943426861678992e-07, + "loss": 0.4902, + "step": 31214 + }, + { + "epoch": 0.92, + "learning_rate": 1.7930797793037525e-07, + "loss": 0.5973, + "step": 31215 + }, + { + "epoch": 0.92, + "learning_rate": 1.7918173089154445e-07, + "loss": 0.8722, + "step": 31216 + }, + { + "epoch": 0.92, + "learning_rate": 1.7905552750144217e-07, + "loss": 0.6222, + "step": 31217 + }, + { + "epoch": 0.92, + "learning_rate": 1.789293677612114e-07, + "loss": 0.6927, + "step": 31218 + }, + { + "epoch": 0.92, + "learning_rate": 1.7880325167199287e-07, + "loss": 0.6966, + "step": 31219 + }, + { + "epoch": 0.92, + "learning_rate": 1.7867717923492956e-07, + "loss": 0.9966, + "step": 31220 + }, + { + "epoch": 0.92, + "learning_rate": 1.785511504511628e-07, + "loss": 0.5776, + "step": 31221 + }, + { + "epoch": 0.92, + "learning_rate": 1.7842516532183385e-07, + "loss": 0.503, + "step": 31222 + }, + { + "epoch": 0.92, + "learning_rate": 1.782992238480824e-07, + "loss": 0.5956, + "step": 31223 + }, + { + "epoch": 0.92, + "learning_rate": 1.781733260310503e-07, + "loss": 0.7737, + "step": 31224 + }, + { + "epoch": 0.92, + "learning_rate": 1.780474718718761e-07, + "loss": 0.701, + "step": 31225 + }, + { + "epoch": 0.92, + "learning_rate": 1.7792166137169996e-07, + "loss": 0.8013, + "step": 31226 + }, + { + "epoch": 0.92, + "learning_rate": 1.7779589453166045e-07, + "loss": 0.5, + "step": 31227 + }, + { + "epoch": 0.92, + "learning_rate": 1.7767017135289776e-07, + "loss": 0.8975, + "step": 31228 + }, + { + "epoch": 0.92, + "learning_rate": 1.7754449183654821e-07, + "loss": 0.6746, + "step": 31229 + }, + { + "epoch": 0.92, + "learning_rate": 1.774188559837514e-07, + "loss": 0.7217, + "step": 31230 + }, + { + "epoch": 0.92, + "learning_rate": 1.7729326379564372e-07, + "loss": 1.0393, + "step": 31231 + }, + { + "epoch": 0.92, + "learning_rate": 1.7716771527336362e-07, + "loss": 0.6562, + "step": 31232 + }, + { + "epoch": 0.92, + "learning_rate": 1.770422104180458e-07, + "loss": 0.6014, + "step": 31233 + }, + { + "epoch": 0.92, + "learning_rate": 1.769167492308288e-07, + "loss": 0.5183, + "step": 31234 + }, + { + "epoch": 0.92, + "learning_rate": 1.7679133171284723e-07, + "loss": 0.5405, + "step": 31235 + }, + { + "epoch": 0.92, + "learning_rate": 1.7666595786523633e-07, + "loss": 0.6864, + "step": 31236 + }, + { + "epoch": 0.92, + "learning_rate": 1.7654062768913295e-07, + "loss": 0.7295, + "step": 31237 + }, + { + "epoch": 0.92, + "learning_rate": 1.7641534118567005e-07, + "loss": 0.8716, + "step": 31238 + }, + { + "epoch": 0.92, + "learning_rate": 1.7629009835598342e-07, + "loss": 0.8476, + "step": 31239 + }, + { + "epoch": 0.92, + "learning_rate": 1.7616489920120605e-07, + "loss": 0.7137, + "step": 31240 + }, + { + "epoch": 0.92, + "learning_rate": 1.7603974372247202e-07, + "loss": 0.655, + "step": 31241 + }, + { + "epoch": 0.92, + "learning_rate": 1.7591463192091374e-07, + "loss": 0.8319, + "step": 31242 + }, + { + "epoch": 0.92, + "learning_rate": 1.7578956379766532e-07, + "loss": 0.7806, + "step": 31243 + }, + { + "epoch": 0.92, + "learning_rate": 1.7566453935385807e-07, + "loss": 0.7257, + "step": 31244 + }, + { + "epoch": 0.92, + "learning_rate": 1.75539558590625e-07, + "loss": 0.6206, + "step": 31245 + }, + { + "epoch": 0.92, + "learning_rate": 1.7541462150909572e-07, + "loss": 0.7719, + "step": 31246 + }, + { + "epoch": 0.92, + "learning_rate": 1.7528972811040378e-07, + "loss": 0.7142, + "step": 31247 + }, + { + "epoch": 0.92, + "learning_rate": 1.7516487839567887e-07, + "loss": 0.6373, + "step": 31248 + }, + { + "epoch": 0.92, + "learning_rate": 1.750400723660517e-07, + "loss": 0.9576, + "step": 31249 + }, + { + "epoch": 0.92, + "learning_rate": 1.749153100226514e-07, + "loss": 0.7798, + "step": 31250 + }, + { + "epoch": 0.92, + "learning_rate": 1.7479059136660925e-07, + "loss": 0.7878, + "step": 31251 + }, + { + "epoch": 0.92, + "learning_rate": 1.7466591639905329e-07, + "loss": 0.7873, + "step": 31252 + }, + { + "epoch": 0.92, + "learning_rate": 1.7454128512111256e-07, + "loss": 0.4463, + "step": 31253 + }, + { + "epoch": 0.92, + "learning_rate": 1.7441669753391566e-07, + "loss": 0.5661, + "step": 31254 + }, + { + "epoch": 0.92, + "learning_rate": 1.7429215363859054e-07, + "loss": 0.9518, + "step": 31255 + }, + { + "epoch": 0.92, + "learning_rate": 1.7416765343626462e-07, + "loss": 0.4595, + "step": 31256 + }, + { + "epoch": 0.92, + "learning_rate": 1.7404319692806537e-07, + "loss": 0.811, + "step": 31257 + }, + { + "epoch": 0.92, + "learning_rate": 1.7391878411511963e-07, + "loss": 0.7851, + "step": 31258 + }, + { + "epoch": 0.92, + "learning_rate": 1.7379441499855377e-07, + "loss": 0.9255, + "step": 31259 + }, + { + "epoch": 0.92, + "learning_rate": 1.736700895794946e-07, + "loss": 0.8186, + "step": 31260 + }, + { + "epoch": 0.92, + "learning_rate": 1.7354580785906682e-07, + "loss": 0.8674, + "step": 31261 + }, + { + "epoch": 0.92, + "learning_rate": 1.734215698383962e-07, + "loss": 0.6709, + "step": 31262 + }, + { + "epoch": 0.92, + "learning_rate": 1.732973755186068e-07, + "loss": 0.7538, + "step": 31263 + }, + { + "epoch": 0.92, + "learning_rate": 1.7317322490082444e-07, + "loss": 0.5957, + "step": 31264 + }, + { + "epoch": 0.92, + "learning_rate": 1.730491179861721e-07, + "loss": 0.7194, + "step": 31265 + }, + { + "epoch": 0.92, + "learning_rate": 1.7292505477577382e-07, + "loss": 0.6399, + "step": 31266 + }, + { + "epoch": 0.92, + "learning_rate": 1.7280103527075322e-07, + "loss": 0.7988, + "step": 31267 + }, + { + "epoch": 0.92, + "learning_rate": 1.7267705947223324e-07, + "loss": 0.4902, + "step": 31268 + }, + { + "epoch": 0.92, + "learning_rate": 1.7255312738133522e-07, + "loss": 0.7544, + "step": 31269 + }, + { + "epoch": 0.92, + "learning_rate": 1.7242923899918328e-07, + "loss": 0.7149, + "step": 31270 + }, + { + "epoch": 0.92, + "learning_rate": 1.7230539432689707e-07, + "loss": 0.5554, + "step": 31271 + }, + { + "epoch": 0.92, + "learning_rate": 1.721815933655996e-07, + "loss": 0.6011, + "step": 31272 + }, + { + "epoch": 0.92, + "learning_rate": 1.7205783611640991e-07, + "loss": 0.7774, + "step": 31273 + }, + { + "epoch": 0.92, + "learning_rate": 1.7193412258045106e-07, + "loss": 0.8025, + "step": 31274 + }, + { + "epoch": 0.92, + "learning_rate": 1.7181045275884046e-07, + "loss": 0.5994, + "step": 31275 + }, + { + "epoch": 0.92, + "learning_rate": 1.7168682665269942e-07, + "loss": 0.999, + "step": 31276 + }, + { + "epoch": 0.92, + "learning_rate": 1.7156324426314764e-07, + "loss": 0.8103, + "step": 31277 + }, + { + "epoch": 0.92, + "learning_rate": 1.7143970559130308e-07, + "loss": 0.4125, + "step": 31278 + }, + { + "epoch": 0.92, + "learning_rate": 1.7131621063828484e-07, + "loss": 0.6268, + "step": 31279 + }, + { + "epoch": 0.92, + "learning_rate": 1.711927594052104e-07, + "loss": 0.6454, + "step": 31280 + }, + { + "epoch": 0.92, + "learning_rate": 1.710693518931983e-07, + "loss": 0.6854, + "step": 31281 + }, + { + "epoch": 0.92, + "learning_rate": 1.7094598810336537e-07, + "loss": 0.7618, + "step": 31282 + }, + { + "epoch": 0.92, + "learning_rate": 1.7082266803682913e-07, + "loss": 0.6968, + "step": 31283 + }, + { + "epoch": 0.92, + "learning_rate": 1.706993916947053e-07, + "loss": 0.6877, + "step": 31284 + }, + { + "epoch": 0.92, + "learning_rate": 1.7057615907811076e-07, + "loss": 0.6742, + "step": 31285 + }, + { + "epoch": 0.92, + "learning_rate": 1.704529701881602e-07, + "loss": 0.6328, + "step": 31286 + }, + { + "epoch": 0.92, + "learning_rate": 1.7032982502597105e-07, + "loss": 0.5136, + "step": 31287 + }, + { + "epoch": 0.92, + "learning_rate": 1.7020672359265634e-07, + "loss": 0.726, + "step": 31288 + }, + { + "epoch": 0.92, + "learning_rate": 1.7008366588933235e-07, + "loss": 0.6622, + "step": 31289 + }, + { + "epoch": 0.92, + "learning_rate": 1.6996065191711153e-07, + "loss": 0.5719, + "step": 31290 + }, + { + "epoch": 0.92, + "learning_rate": 1.6983768167710913e-07, + "loss": 0.691, + "step": 31291 + }, + { + "epoch": 0.92, + "learning_rate": 1.69714755170437e-07, + "loss": 0.6376, + "step": 31292 + }, + { + "epoch": 0.92, + "learning_rate": 1.6959187239820984e-07, + "loss": 0.8256, + "step": 31293 + }, + { + "epoch": 0.92, + "learning_rate": 1.6946903336153897e-07, + "loss": 0.5734, + "step": 31294 + }, + { + "epoch": 0.92, + "learning_rate": 1.6934623806153681e-07, + "loss": 0.9372, + "step": 31295 + }, + { + "epoch": 0.92, + "learning_rate": 1.6922348649931642e-07, + "loss": 0.8067, + "step": 31296 + }, + { + "epoch": 0.92, + "learning_rate": 1.691007786759874e-07, + "loss": 0.6333, + "step": 31297 + }, + { + "epoch": 0.92, + "learning_rate": 1.689781145926622e-07, + "loss": 0.6994, + "step": 31298 + }, + { + "epoch": 0.92, + "learning_rate": 1.6885549425045055e-07, + "loss": 0.523, + "step": 31299 + }, + { + "epoch": 0.92, + "learning_rate": 1.6873291765046373e-07, + "loss": 0.8572, + "step": 31300 + }, + { + "epoch": 0.92, + "learning_rate": 1.6861038479380975e-07, + "loss": 0.6728, + "step": 31301 + }, + { + "epoch": 0.92, + "learning_rate": 1.6848789568159996e-07, + "loss": 0.5231, + "step": 31302 + }, + { + "epoch": 0.92, + "learning_rate": 1.6836545031494234e-07, + "loss": 0.6184, + "step": 31303 + }, + { + "epoch": 0.92, + "learning_rate": 1.68243048694946e-07, + "loss": 0.8167, + "step": 31304 + }, + { + "epoch": 0.92, + "learning_rate": 1.6812069082271787e-07, + "loss": 0.9171, + "step": 31305 + }, + { + "epoch": 0.92, + "learning_rate": 1.6799837669936814e-07, + "loss": 0.6149, + "step": 31306 + }, + { + "epoch": 0.92, + "learning_rate": 1.6787610632600205e-07, + "loss": 0.6255, + "step": 31307 + }, + { + "epoch": 0.92, + "learning_rate": 1.677538797037287e-07, + "loss": 0.7577, + "step": 31308 + }, + { + "epoch": 0.92, + "learning_rate": 1.6763169683365333e-07, + "loss": 0.8732, + "step": 31309 + }, + { + "epoch": 0.92, + "learning_rate": 1.6750955771688282e-07, + "loss": 0.6104, + "step": 31310 + }, + { + "epoch": 0.92, + "learning_rate": 1.673874623545224e-07, + "loss": 0.4947, + "step": 31311 + }, + { + "epoch": 0.92, + "learning_rate": 1.6726541074767843e-07, + "loss": 0.8308, + "step": 31312 + }, + { + "epoch": 0.92, + "learning_rate": 1.67143402897455e-07, + "loss": 0.4958, + "step": 31313 + }, + { + "epoch": 0.92, + "learning_rate": 1.670214388049579e-07, + "loss": 0.6215, + "step": 31314 + }, + { + "epoch": 0.92, + "learning_rate": 1.6689951847129016e-07, + "loss": 0.4855, + "step": 31315 + }, + { + "epoch": 0.92, + "learning_rate": 1.667776418975564e-07, + "loss": 0.7222, + "step": 31316 + }, + { + "epoch": 0.92, + "learning_rate": 1.666558090848608e-07, + "loss": 0.7826, + "step": 31317 + }, + { + "epoch": 0.92, + "learning_rate": 1.6653402003430464e-07, + "loss": 0.7678, + "step": 31318 + }, + { + "epoch": 0.92, + "learning_rate": 1.6641227474699262e-07, + "loss": 0.667, + "step": 31319 + }, + { + "epoch": 0.92, + "learning_rate": 1.6629057322402608e-07, + "loss": 0.7425, + "step": 31320 + }, + { + "epoch": 0.92, + "learning_rate": 1.6616891546650694e-07, + "loss": 0.653, + "step": 31321 + }, + { + "epoch": 0.92, + "learning_rate": 1.6604730147553648e-07, + "loss": 0.4934, + "step": 31322 + }, + { + "epoch": 0.92, + "learning_rate": 1.6592573125221666e-07, + "loss": 0.4613, + "step": 31323 + }, + { + "epoch": 0.92, + "learning_rate": 1.6580420479764658e-07, + "loss": 0.7266, + "step": 31324 + }, + { + "epoch": 0.92, + "learning_rate": 1.6568272211292814e-07, + "loss": 0.4736, + "step": 31325 + }, + { + "epoch": 0.92, + "learning_rate": 1.6556128319916098e-07, + "loss": 0.7187, + "step": 31326 + }, + { + "epoch": 0.92, + "learning_rate": 1.6543988805744482e-07, + "loss": 0.7272, + "step": 31327 + }, + { + "epoch": 0.92, + "learning_rate": 1.6531853668887764e-07, + "loss": 0.6324, + "step": 31328 + }, + { + "epoch": 0.92, + "learning_rate": 1.6519722909455972e-07, + "loss": 0.7801, + "step": 31329 + }, + { + "epoch": 0.92, + "learning_rate": 1.6507596527558788e-07, + "loss": 0.5969, + "step": 31330 + }, + { + "epoch": 0.92, + "learning_rate": 1.649547452330613e-07, + "loss": 0.5233, + "step": 31331 + }, + { + "epoch": 0.92, + "learning_rate": 1.6483356896807634e-07, + "loss": 0.8184, + "step": 31332 + }, + { + "epoch": 0.92, + "learning_rate": 1.6471243648173206e-07, + "loss": 0.604, + "step": 31333 + }, + { + "epoch": 0.92, + "learning_rate": 1.645913477751232e-07, + "loss": 0.693, + "step": 31334 + }, + { + "epoch": 0.92, + "learning_rate": 1.6447030284934662e-07, + "loss": 0.7564, + "step": 31335 + }, + { + "epoch": 0.92, + "learning_rate": 1.6434930170549924e-07, + "loss": 0.6113, + "step": 31336 + }, + { + "epoch": 0.92, + "learning_rate": 1.6422834434467572e-07, + "loss": 0.5974, + "step": 31337 + }, + { + "epoch": 0.92, + "learning_rate": 1.6410743076797243e-07, + "loss": 0.5882, + "step": 31338 + }, + { + "epoch": 0.92, + "learning_rate": 1.639865609764818e-07, + "loss": 0.8326, + "step": 31339 + }, + { + "epoch": 0.92, + "learning_rate": 1.6386573497130076e-07, + "loss": 0.6242, + "step": 31340 + }, + { + "epoch": 0.92, + "learning_rate": 1.6374495275352175e-07, + "loss": 0.7521, + "step": 31341 + }, + { + "epoch": 0.92, + "learning_rate": 1.636242143242389e-07, + "loss": 0.7156, + "step": 31342 + }, + { + "epoch": 0.92, + "learning_rate": 1.6350351968454525e-07, + "loss": 0.9638, + "step": 31343 + }, + { + "epoch": 0.92, + "learning_rate": 1.6338286883553379e-07, + "loss": 0.7259, + "step": 31344 + }, + { + "epoch": 0.92, + "learning_rate": 1.6326226177829584e-07, + "loss": 0.7426, + "step": 31345 + }, + { + "epoch": 0.92, + "learning_rate": 1.6314169851392502e-07, + "loss": 0.7393, + "step": 31346 + }, + { + "epoch": 0.92, + "learning_rate": 1.630211790435121e-07, + "loss": 0.8725, + "step": 31347 + }, + { + "epoch": 0.92, + "learning_rate": 1.62900703368149e-07, + "loss": 0.608, + "step": 31348 + }, + { + "epoch": 0.92, + "learning_rate": 1.627802714889254e-07, + "loss": 0.7521, + "step": 31349 + }, + { + "epoch": 0.92, + "learning_rate": 1.6265988340693263e-07, + "loss": 0.6323, + "step": 31350 + }, + { + "epoch": 0.92, + "learning_rate": 1.6253953912326036e-07, + "loss": 0.8996, + "step": 31351 + }, + { + "epoch": 0.92, + "learning_rate": 1.6241923863899833e-07, + "loss": 0.7253, + "step": 31352 + }, + { + "epoch": 0.92, + "learning_rate": 1.6229898195523508e-07, + "loss": 0.4878, + "step": 31353 + }, + { + "epoch": 0.92, + "learning_rate": 1.621787690730603e-07, + "loss": 0.7259, + "step": 31354 + }, + { + "epoch": 0.92, + "learning_rate": 1.6205859999356198e-07, + "loss": 0.8172, + "step": 31355 + }, + { + "epoch": 0.92, + "learning_rate": 1.6193847471782874e-07, + "loss": 0.6362, + "step": 31356 + }, + { + "epoch": 0.92, + "learning_rate": 1.6181839324694748e-07, + "loss": 0.6991, + "step": 31357 + }, + { + "epoch": 0.92, + "learning_rate": 1.6169835558200564e-07, + "loss": 0.6746, + "step": 31358 + }, + { + "epoch": 0.92, + "learning_rate": 1.615783617240907e-07, + "loss": 0.6685, + "step": 31359 + }, + { + "epoch": 0.92, + "learning_rate": 1.6145841167428844e-07, + "loss": 0.6527, + "step": 31360 + }, + { + "epoch": 0.92, + "learning_rate": 1.6133850543368467e-07, + "loss": 0.8008, + "step": 31361 + }, + { + "epoch": 0.92, + "learning_rate": 1.6121864300336575e-07, + "loss": 0.7224, + "step": 31362 + }, + { + "epoch": 0.92, + "learning_rate": 1.6109882438441693e-07, + "loss": 0.6526, + "step": 31363 + }, + { + "epoch": 0.92, + "learning_rate": 1.6097904957792176e-07, + "loss": 0.7796, + "step": 31364 + }, + { + "epoch": 0.92, + "learning_rate": 1.608593185849666e-07, + "loss": 0.5179, + "step": 31365 + }, + { + "epoch": 0.92, + "learning_rate": 1.6073963140663395e-07, + "loss": 0.7711, + "step": 31366 + }, + { + "epoch": 0.92, + "learning_rate": 1.6061998804400903e-07, + "loss": 0.657, + "step": 31367 + }, + { + "epoch": 0.92, + "learning_rate": 1.6050038849817374e-07, + "loss": 1.0638, + "step": 31368 + }, + { + "epoch": 0.92, + "learning_rate": 1.6038083277021165e-07, + "loss": 0.7735, + "step": 31369 + }, + { + "epoch": 0.92, + "learning_rate": 1.6026132086120527e-07, + "loss": 0.6847, + "step": 31370 + }, + { + "epoch": 0.92, + "learning_rate": 1.601418527722365e-07, + "loss": 0.7059, + "step": 31371 + }, + { + "epoch": 0.92, + "learning_rate": 1.6002242850438665e-07, + "loss": 0.4157, + "step": 31372 + }, + { + "epoch": 0.92, + "learning_rate": 1.599030480587377e-07, + "loss": 0.7723, + "step": 31373 + }, + { + "epoch": 0.92, + "learning_rate": 1.5978371143636984e-07, + "loss": 0.6235, + "step": 31374 + }, + { + "epoch": 0.92, + "learning_rate": 1.596644186383639e-07, + "loss": 0.7471, + "step": 31375 + }, + { + "epoch": 0.92, + "learning_rate": 1.595451696658007e-07, + "loss": 0.8379, + "step": 31376 + }, + { + "epoch": 0.92, + "learning_rate": 1.5942596451975878e-07, + "loss": 0.7514, + "step": 31377 + }, + { + "epoch": 0.92, + "learning_rate": 1.593068032013184e-07, + "loss": 0.7488, + "step": 31378 + }, + { + "epoch": 0.92, + "learning_rate": 1.5918768571155763e-07, + "loss": 0.6878, + "step": 31379 + }, + { + "epoch": 0.92, + "learning_rate": 1.590686120515561e-07, + "loss": 0.6819, + "step": 31380 + }, + { + "epoch": 0.92, + "learning_rate": 1.5894958222239022e-07, + "loss": 0.5395, + "step": 31381 + }, + { + "epoch": 0.92, + "learning_rate": 1.5883059622513963e-07, + "loss": 0.8564, + "step": 31382 + }, + { + "epoch": 0.92, + "learning_rate": 1.587116540608802e-07, + "loss": 0.6804, + "step": 31383 + }, + { + "epoch": 0.92, + "learning_rate": 1.5859275573068877e-07, + "loss": 0.7396, + "step": 31384 + }, + { + "epoch": 0.92, + "learning_rate": 1.5847390123564288e-07, + "loss": 0.6733, + "step": 31385 + }, + { + "epoch": 0.92, + "learning_rate": 1.583550905768194e-07, + "loss": 0.5777, + "step": 31386 + }, + { + "epoch": 0.92, + "learning_rate": 1.582363237552914e-07, + "loss": 0.4808, + "step": 31387 + }, + { + "epoch": 0.92, + "learning_rate": 1.5811760077213688e-07, + "loss": 0.6438, + "step": 31388 + }, + { + "epoch": 0.92, + "learning_rate": 1.5799892162842946e-07, + "loss": 0.943, + "step": 31389 + }, + { + "epoch": 0.92, + "learning_rate": 1.5788028632524378e-07, + "loss": 0.5665, + "step": 31390 + }, + { + "epoch": 0.92, + "learning_rate": 1.57761694863654e-07, + "loss": 0.7485, + "step": 31391 + }, + { + "epoch": 0.92, + "learning_rate": 1.576431472447343e-07, + "loss": 0.6039, + "step": 31392 + }, + { + "epoch": 0.92, + "learning_rate": 1.5752464346955709e-07, + "loss": 0.7184, + "step": 31393 + }, + { + "epoch": 0.92, + "learning_rate": 1.57406183539196e-07, + "loss": 1.007, + "step": 31394 + }, + { + "epoch": 0.92, + "learning_rate": 1.5728776745472408e-07, + "loss": 0.6843, + "step": 31395 + }, + { + "epoch": 0.92, + "learning_rate": 1.5716939521721265e-07, + "loss": 0.7761, + "step": 31396 + }, + { + "epoch": 0.92, + "learning_rate": 1.570510668277342e-07, + "loss": 0.5143, + "step": 31397 + }, + { + "epoch": 0.92, + "learning_rate": 1.5693278228735897e-07, + "loss": 0.6105, + "step": 31398 + }, + { + "epoch": 0.92, + "learning_rate": 1.5681454159715947e-07, + "loss": 0.7944, + "step": 31399 + }, + { + "epoch": 0.92, + "learning_rate": 1.5669634475820483e-07, + "loss": 0.6593, + "step": 31400 + }, + { + "epoch": 0.92, + "learning_rate": 1.565781917715664e-07, + "loss": 0.6597, + "step": 31401 + }, + { + "epoch": 0.92, + "learning_rate": 1.564600826383128e-07, + "loss": 0.6138, + "step": 31402 + }, + { + "epoch": 0.92, + "learning_rate": 1.5634201735951482e-07, + "loss": 0.6607, + "step": 31403 + }, + { + "epoch": 0.92, + "learning_rate": 1.5622399593623938e-07, + "loss": 0.8121, + "step": 31404 + }, + { + "epoch": 0.92, + "learning_rate": 1.561060183695573e-07, + "loss": 0.6336, + "step": 31405 + }, + { + "epoch": 0.92, + "learning_rate": 1.559880846605355e-07, + "loss": 0.545, + "step": 31406 + }, + { + "epoch": 0.92, + "learning_rate": 1.5587019481024257e-07, + "loss": 0.9353, + "step": 31407 + }, + { + "epoch": 0.92, + "learning_rate": 1.5575234881974488e-07, + "loss": 0.6489, + "step": 31408 + }, + { + "epoch": 0.92, + "learning_rate": 1.55634546690111e-07, + "loss": 0.6305, + "step": 31409 + }, + { + "epoch": 0.92, + "learning_rate": 1.555167884224057e-07, + "loss": 0.8604, + "step": 31410 + }, + { + "epoch": 0.92, + "learning_rate": 1.5539907401769638e-07, + "loss": 0.6536, + "step": 31411 + }, + { + "epoch": 0.92, + "learning_rate": 1.552814034770478e-07, + "loss": 0.6889, + "step": 31412 + }, + { + "epoch": 0.92, + "learning_rate": 1.5516377680152682e-07, + "loss": 0.6876, + "step": 31413 + }, + { + "epoch": 0.92, + "learning_rate": 1.5504619399219712e-07, + "loss": 0.5926, + "step": 31414 + }, + { + "epoch": 0.92, + "learning_rate": 1.5492865505012443e-07, + "loss": 0.5836, + "step": 31415 + }, + { + "epoch": 0.92, + "learning_rate": 1.548111599763724e-07, + "loss": 0.6538, + "step": 31416 + }, + { + "epoch": 0.92, + "learning_rate": 1.5469370877200462e-07, + "loss": 0.7147, + "step": 31417 + }, + { + "epoch": 0.92, + "learning_rate": 1.5457630143808523e-07, + "loss": 0.8888, + "step": 31418 + }, + { + "epoch": 0.92, + "learning_rate": 1.5445893797567613e-07, + "loss": 0.5203, + "step": 31419 + }, + { + "epoch": 0.92, + "learning_rate": 1.543416183858415e-07, + "loss": 0.6556, + "step": 31420 + }, + { + "epoch": 0.92, + "learning_rate": 1.5422434266964213e-07, + "loss": 0.8803, + "step": 31421 + }, + { + "epoch": 0.92, + "learning_rate": 1.5410711082814111e-07, + "loss": 0.66, + "step": 31422 + }, + { + "epoch": 0.92, + "learning_rate": 1.5398992286239812e-07, + "loss": 0.6901, + "step": 31423 + }, + { + "epoch": 0.92, + "learning_rate": 1.5387277877347616e-07, + "loss": 0.6244, + "step": 31424 + }, + { + "epoch": 0.92, + "learning_rate": 1.5375567856243444e-07, + "loss": 0.6152, + "step": 31425 + }, + { + "epoch": 0.92, + "learning_rate": 1.5363862223033488e-07, + "loss": 0.8711, + "step": 31426 + }, + { + "epoch": 0.92, + "learning_rate": 1.535216097782355e-07, + "loss": 0.6392, + "step": 31427 + }, + { + "epoch": 0.92, + "learning_rate": 1.5340464120719655e-07, + "loss": 0.6199, + "step": 31428 + }, + { + "epoch": 0.92, + "learning_rate": 1.5328771651827722e-07, + "loss": 0.5485, + "step": 31429 + }, + { + "epoch": 0.92, + "learning_rate": 1.531708357125361e-07, + "loss": 0.4733, + "step": 31430 + }, + { + "epoch": 0.92, + "learning_rate": 1.530539987910312e-07, + "loss": 0.7313, + "step": 31431 + }, + { + "epoch": 0.92, + "learning_rate": 1.5293720575482117e-07, + "loss": 0.6193, + "step": 31432 + }, + { + "epoch": 0.92, + "learning_rate": 1.528204566049618e-07, + "loss": 0.5998, + "step": 31433 + }, + { + "epoch": 0.92, + "learning_rate": 1.527037513425117e-07, + "loss": 0.5647, + "step": 31434 + }, + { + "epoch": 0.92, + "learning_rate": 1.5258708996852722e-07, + "loss": 0.4809, + "step": 31435 + }, + { + "epoch": 0.92, + "learning_rate": 1.5247047248406422e-07, + "loss": 0.8219, + "step": 31436 + }, + { + "epoch": 0.92, + "learning_rate": 1.5235389889017905e-07, + "loss": 0.5219, + "step": 31437 + }, + { + "epoch": 0.92, + "learning_rate": 1.5223736918792697e-07, + "loss": 0.7571, + "step": 31438 + }, + { + "epoch": 0.92, + "learning_rate": 1.5212088337836328e-07, + "loss": 0.5798, + "step": 31439 + }, + { + "epoch": 0.92, + "learning_rate": 1.5200444146254211e-07, + "loss": 0.5865, + "step": 31440 + }, + { + "epoch": 0.92, + "learning_rate": 1.5188804344151874e-07, + "loss": 0.5417, + "step": 31441 + }, + { + "epoch": 0.92, + "learning_rate": 1.5177168931634568e-07, + "loss": 0.7666, + "step": 31442 + }, + { + "epoch": 0.92, + "learning_rate": 1.5165537908807704e-07, + "loss": 0.6742, + "step": 31443 + }, + { + "epoch": 0.92, + "learning_rate": 1.5153911275776645e-07, + "loss": 0.5531, + "step": 31444 + }, + { + "epoch": 0.92, + "learning_rate": 1.514228903264664e-07, + "loss": 0.674, + "step": 31445 + }, + { + "epoch": 0.92, + "learning_rate": 1.513067117952288e-07, + "loss": 0.783, + "step": 31446 + }, + { + "epoch": 0.92, + "learning_rate": 1.5119057716510622e-07, + "loss": 0.4938, + "step": 31447 + }, + { + "epoch": 0.92, + "learning_rate": 1.5107448643714884e-07, + "loss": 0.5226, + "step": 31448 + }, + { + "epoch": 0.92, + "learning_rate": 1.509584396124092e-07, + "loss": 0.9587, + "step": 31449 + }, + { + "epoch": 0.92, + "learning_rate": 1.5084243669193755e-07, + "loss": 0.8636, + "step": 31450 + }, + { + "epoch": 0.92, + "learning_rate": 1.5072647767678417e-07, + "loss": 0.822, + "step": 31451 + }, + { + "epoch": 0.92, + "learning_rate": 1.5061056256799822e-07, + "loss": 0.8134, + "step": 31452 + }, + { + "epoch": 0.92, + "learning_rate": 1.5049469136663052e-07, + "loss": 0.6957, + "step": 31453 + }, + { + "epoch": 0.92, + "learning_rate": 1.503788640737297e-07, + "loss": 0.7868, + "step": 31454 + }, + { + "epoch": 0.92, + "learning_rate": 1.502630806903438e-07, + "loss": 0.6521, + "step": 31455 + }, + { + "epoch": 0.92, + "learning_rate": 1.501473412175225e-07, + "loss": 0.7907, + "step": 31456 + }, + { + "epoch": 0.92, + "learning_rate": 1.5003164565631224e-07, + "loss": 0.6757, + "step": 31457 + }, + { + "epoch": 0.92, + "learning_rate": 1.4991599400776214e-07, + "loss": 0.7269, + "step": 31458 + }, + { + "epoch": 0.92, + "learning_rate": 1.4980038627291749e-07, + "loss": 0.6986, + "step": 31459 + }, + { + "epoch": 0.92, + "learning_rate": 1.496848224528269e-07, + "loss": 0.9831, + "step": 31460 + }, + { + "epoch": 0.92, + "learning_rate": 1.4956930254853509e-07, + "loss": 0.5952, + "step": 31461 + }, + { + "epoch": 0.92, + "learning_rate": 1.4945382656108898e-07, + "loss": 0.736, + "step": 31462 + }, + { + "epoch": 0.92, + "learning_rate": 1.493383944915333e-07, + "loss": 0.6016, + "step": 31463 + }, + { + "epoch": 0.92, + "learning_rate": 1.4922300634091446e-07, + "loss": 0.7652, + "step": 31464 + }, + { + "epoch": 0.92, + "learning_rate": 1.491076621102766e-07, + "loss": 0.6369, + "step": 31465 + }, + { + "epoch": 0.92, + "learning_rate": 1.489923618006639e-07, + "loss": 0.7693, + "step": 31466 + }, + { + "epoch": 0.92, + "learning_rate": 1.4887710541311994e-07, + "loss": 0.7157, + "step": 31467 + }, + { + "epoch": 0.92, + "learning_rate": 1.4876189294868947e-07, + "loss": 0.7488, + "step": 31468 + }, + { + "epoch": 0.92, + "learning_rate": 1.4864672440841388e-07, + "loss": 0.5558, + "step": 31469 + }, + { + "epoch": 0.92, + "learning_rate": 1.4853159979333786e-07, + "loss": 0.6956, + "step": 31470 + }, + { + "epoch": 0.92, + "learning_rate": 1.4841651910450282e-07, + "loss": 0.5651, + "step": 31471 + }, + { + "epoch": 0.92, + "learning_rate": 1.4830148234295072e-07, + "loss": 0.4586, + "step": 31472 + }, + { + "epoch": 0.92, + "learning_rate": 1.4818648950972235e-07, + "loss": 0.8036, + "step": 31473 + }, + { + "epoch": 0.92, + "learning_rate": 1.4807154060586028e-07, + "loss": 0.6809, + "step": 31474 + }, + { + "epoch": 0.92, + "learning_rate": 1.4795663563240526e-07, + "loss": 0.7434, + "step": 31475 + }, + { + "epoch": 0.92, + "learning_rate": 1.478417745903965e-07, + "loss": 0.8574, + "step": 31476 + }, + { + "epoch": 0.92, + "learning_rate": 1.4772695748087483e-07, + "loss": 0.8845, + "step": 31477 + }, + { + "epoch": 0.92, + "learning_rate": 1.4761218430487944e-07, + "loss": 0.5879, + "step": 31478 + }, + { + "epoch": 0.92, + "learning_rate": 1.4749745506345004e-07, + "loss": 0.6729, + "step": 31479 + }, + { + "epoch": 0.92, + "learning_rate": 1.4738276975762412e-07, + "loss": 0.9116, + "step": 31480 + }, + { + "epoch": 0.92, + "learning_rate": 1.4726812838844196e-07, + "loss": 0.6485, + "step": 31481 + }, + { + "epoch": 0.92, + "learning_rate": 1.4715353095693996e-07, + "loss": 0.8644, + "step": 31482 + }, + { + "epoch": 0.92, + "learning_rate": 1.4703897746415674e-07, + "loss": 0.5689, + "step": 31483 + }, + { + "epoch": 0.92, + "learning_rate": 1.469244679111287e-07, + "loss": 0.6826, + "step": 31484 + }, + { + "epoch": 0.92, + "learning_rate": 1.468100022988933e-07, + "loss": 0.5468, + "step": 31485 + }, + { + "epoch": 0.93, + "learning_rate": 1.4669558062848645e-07, + "loss": 0.7948, + "step": 31486 + }, + { + "epoch": 0.93, + "learning_rate": 1.4658120290094448e-07, + "loss": 0.8896, + "step": 31487 + }, + { + "epoch": 0.93, + "learning_rate": 1.4646686911730267e-07, + "loss": 0.6083, + "step": 31488 + }, + { + "epoch": 0.93, + "learning_rate": 1.4635257927859691e-07, + "loss": 0.7168, + "step": 31489 + }, + { + "epoch": 0.93, + "learning_rate": 1.462383333858608e-07, + "loss": 0.7443, + "step": 31490 + }, + { + "epoch": 0.93, + "learning_rate": 1.4612413144013017e-07, + "loss": 0.7287, + "step": 31491 + }, + { + "epoch": 0.93, + "learning_rate": 1.460099734424375e-07, + "loss": 0.9377, + "step": 31492 + }, + { + "epoch": 0.93, + "learning_rate": 1.4589585939381756e-07, + "loss": 0.7232, + "step": 31493 + }, + { + "epoch": 0.93, + "learning_rate": 1.457817892953034e-07, + "loss": 0.5268, + "step": 31494 + }, + { + "epoch": 0.93, + "learning_rate": 1.4566776314792752e-07, + "loss": 0.6248, + "step": 31495 + }, + { + "epoch": 0.93, + "learning_rate": 1.4555378095272244e-07, + "loss": 0.8378, + "step": 31496 + }, + { + "epoch": 0.93, + "learning_rate": 1.4543984271072064e-07, + "loss": 0.8127, + "step": 31497 + }, + { + "epoch": 0.93, + "learning_rate": 1.45325948422953e-07, + "loss": 0.5221, + "step": 31498 + }, + { + "epoch": 0.93, + "learning_rate": 1.452120980904509e-07, + "loss": 0.9758, + "step": 31499 + }, + { + "epoch": 0.93, + "learning_rate": 1.4509829171424573e-07, + "loss": 0.8513, + "step": 31500 + }, + { + "epoch": 0.93, + "learning_rate": 1.4498452929536723e-07, + "loss": 0.6866, + "step": 31501 + }, + { + "epoch": 0.93, + "learning_rate": 1.4487081083484512e-07, + "loss": 0.5151, + "step": 31502 + }, + { + "epoch": 0.93, + "learning_rate": 1.447571363337097e-07, + "loss": 0.7908, + "step": 31503 + }, + { + "epoch": 0.93, + "learning_rate": 1.4464350579299125e-07, + "loss": 0.8347, + "step": 31504 + }, + { + "epoch": 0.93, + "learning_rate": 1.4452991921371616e-07, + "loss": 0.8377, + "step": 31505 + }, + { + "epoch": 0.93, + "learning_rate": 1.4441637659691532e-07, + "loss": 0.6866, + "step": 31506 + }, + { + "epoch": 0.93, + "learning_rate": 1.4430287794361508e-07, + "loss": 0.9699, + "step": 31507 + }, + { + "epoch": 0.93, + "learning_rate": 1.4418942325484354e-07, + "loss": 0.5866, + "step": 31508 + }, + { + "epoch": 0.93, + "learning_rate": 1.4407601253162818e-07, + "loss": 0.6223, + "step": 31509 + }, + { + "epoch": 0.93, + "learning_rate": 1.4396264577499596e-07, + "loss": 0.646, + "step": 31510 + }, + { + "epoch": 0.93, + "learning_rate": 1.4384932298597275e-07, + "loss": 0.6279, + "step": 31511 + }, + { + "epoch": 0.93, + "learning_rate": 1.437360441655844e-07, + "loss": 0.8816, + "step": 31512 + }, + { + "epoch": 0.93, + "learning_rate": 1.4362280931485727e-07, + "loss": 0.8793, + "step": 31513 + }, + { + "epoch": 0.93, + "learning_rate": 1.4350961843481725e-07, + "loss": 0.6422, + "step": 31514 + }, + { + "epoch": 0.93, + "learning_rate": 1.4339647152648795e-07, + "loss": 0.4977, + "step": 31515 + }, + { + "epoch": 0.93, + "learning_rate": 1.4328336859089409e-07, + "loss": 0.7475, + "step": 31516 + }, + { + "epoch": 0.93, + "learning_rate": 1.4317030962905986e-07, + "loss": 0.8785, + "step": 31517 + }, + { + "epoch": 0.93, + "learning_rate": 1.4305729464200946e-07, + "loss": 0.7563, + "step": 31518 + }, + { + "epoch": 0.93, + "learning_rate": 1.4294432363076484e-07, + "loss": 0.5893, + "step": 31519 + }, + { + "epoch": 0.93, + "learning_rate": 1.4283139659635016e-07, + "loss": 0.6574, + "step": 31520 + }, + { + "epoch": 0.93, + "learning_rate": 1.427185135397874e-07, + "loss": 0.4433, + "step": 31521 + }, + { + "epoch": 0.93, + "learning_rate": 1.4260567446209793e-07, + "loss": 0.9138, + "step": 31522 + }, + { + "epoch": 0.93, + "learning_rate": 1.424928793643049e-07, + "loss": 0.6116, + "step": 31523 + }, + { + "epoch": 0.93, + "learning_rate": 1.4238012824742854e-07, + "loss": 0.7541, + "step": 31524 + }, + { + "epoch": 0.93, + "learning_rate": 1.4226742111249027e-07, + "loss": 0.5873, + "step": 31525 + }, + { + "epoch": 0.93, + "learning_rate": 1.4215475796050927e-07, + "loss": 0.5083, + "step": 31526 + }, + { + "epoch": 0.93, + "learning_rate": 1.420421387925075e-07, + "loss": 1.0287, + "step": 31527 + }, + { + "epoch": 0.93, + "learning_rate": 1.419295636095036e-07, + "loss": 0.7431, + "step": 31528 + }, + { + "epoch": 0.93, + "learning_rate": 1.4181703241251676e-07, + "loss": 0.8853, + "step": 31529 + }, + { + "epoch": 0.93, + "learning_rate": 1.4170454520256616e-07, + "loss": 0.7076, + "step": 31530 + }, + { + "epoch": 0.93, + "learning_rate": 1.415921019806704e-07, + "loss": 0.7228, + "step": 31531 + }, + { + "epoch": 0.93, + "learning_rate": 1.414797027478465e-07, + "loss": 0.7456, + "step": 31532 + }, + { + "epoch": 0.93, + "learning_rate": 1.4136734750511416e-07, + "loss": 0.4814, + "step": 31533 + }, + { + "epoch": 0.93, + "learning_rate": 1.412550362534887e-07, + "loss": 0.6019, + "step": 31534 + }, + { + "epoch": 0.93, + "learning_rate": 1.411427689939887e-07, + "loss": 0.8781, + "step": 31535 + }, + { + "epoch": 0.93, + "learning_rate": 1.4103054572762897e-07, + "loss": 0.7225, + "step": 31536 + }, + { + "epoch": 0.93, + "learning_rate": 1.4091836645542756e-07, + "loss": 0.8631, + "step": 31537 + }, + { + "epoch": 0.93, + "learning_rate": 1.408062311783981e-07, + "loss": 0.6295, + "step": 31538 + }, + { + "epoch": 0.93, + "learning_rate": 1.4069413989755698e-07, + "loss": 0.5439, + "step": 31539 + }, + { + "epoch": 0.93, + "learning_rate": 1.4058209261391897e-07, + "loss": 0.498, + "step": 31540 + }, + { + "epoch": 0.93, + "learning_rate": 1.4047008932849882e-07, + "loss": 0.289, + "step": 31541 + }, + { + "epoch": 0.93, + "learning_rate": 1.4035813004231013e-07, + "loss": 0.7017, + "step": 31542 + }, + { + "epoch": 0.93, + "learning_rate": 1.4024621475636657e-07, + "loss": 0.7585, + "step": 31543 + }, + { + "epoch": 0.93, + "learning_rate": 1.4013434347168176e-07, + "loss": 0.9351, + "step": 31544 + }, + { + "epoch": 0.93, + "learning_rate": 1.4002251618926877e-07, + "loss": 0.6319, + "step": 31545 + }, + { + "epoch": 0.93, + "learning_rate": 1.3991073291014013e-07, + "loss": 0.5883, + "step": 31546 + }, + { + "epoch": 0.93, + "learning_rate": 1.3979899363530724e-07, + "loss": 0.5884, + "step": 31547 + }, + { + "epoch": 0.93, + "learning_rate": 1.3968729836578265e-07, + "loss": 0.7243, + "step": 31548 + }, + { + "epoch": 0.93, + "learning_rate": 1.395756471025772e-07, + "loss": 0.6806, + "step": 31549 + }, + { + "epoch": 0.93, + "learning_rate": 1.3946403984670175e-07, + "loss": 0.7548, + "step": 31550 + }, + { + "epoch": 0.93, + "learning_rate": 1.3935247659916662e-07, + "loss": 0.7886, + "step": 31551 + }, + { + "epoch": 0.93, + "learning_rate": 1.3924095736098265e-07, + "loss": 0.8997, + "step": 31552 + }, + { + "epoch": 0.93, + "learning_rate": 1.3912948213315903e-07, + "loss": 0.6796, + "step": 31553 + }, + { + "epoch": 0.93, + "learning_rate": 1.3901805091670607e-07, + "loss": 0.7625, + "step": 31554 + }, + { + "epoch": 0.93, + "learning_rate": 1.3890666371263072e-07, + "loss": 0.6793, + "step": 31555 + }, + { + "epoch": 0.93, + "learning_rate": 1.387953205219439e-07, + "loss": 0.7667, + "step": 31556 + }, + { + "epoch": 0.93, + "learning_rate": 1.386840213456514e-07, + "loss": 0.6815, + "step": 31557 + }, + { + "epoch": 0.93, + "learning_rate": 1.3857276618476245e-07, + "loss": 0.5303, + "step": 31558 + }, + { + "epoch": 0.93, + "learning_rate": 1.3846155504028403e-07, + "loss": 0.7973, + "step": 31559 + }, + { + "epoch": 0.93, + "learning_rate": 1.3835038791322309e-07, + "loss": 0.6935, + "step": 31560 + }, + { + "epoch": 0.93, + "learning_rate": 1.3823926480458548e-07, + "loss": 0.551, + "step": 31561 + }, + { + "epoch": 0.93, + "learning_rate": 1.3812818571537823e-07, + "loss": 0.7207, + "step": 31562 + }, + { + "epoch": 0.93, + "learning_rate": 1.3801715064660714e-07, + "loss": 0.5851, + "step": 31563 + }, + { + "epoch": 0.93, + "learning_rate": 1.3790615959927646e-07, + "loss": 0.8579, + "step": 31564 + }, + { + "epoch": 0.93, + "learning_rate": 1.3779521257439255e-07, + "loss": 0.7965, + "step": 31565 + }, + { + "epoch": 0.93, + "learning_rate": 1.3768430957295854e-07, + "loss": 0.7388, + "step": 31566 + }, + { + "epoch": 0.93, + "learning_rate": 1.3757345059598027e-07, + "loss": 1.0519, + "step": 31567 + }, + { + "epoch": 0.93, + "learning_rate": 1.3746263564445971e-07, + "loss": 0.6898, + "step": 31568 + }, + { + "epoch": 0.93, + "learning_rate": 1.373518647194011e-07, + "loss": 0.7397, + "step": 31569 + }, + { + "epoch": 0.93, + "learning_rate": 1.3724113782180693e-07, + "loss": 0.6954, + "step": 31570 + }, + { + "epoch": 0.93, + "learning_rate": 1.3713045495268029e-07, + "loss": 0.836, + "step": 31571 + }, + { + "epoch": 0.93, + "learning_rate": 1.3701981611302317e-07, + "loss": 0.6504, + "step": 31572 + }, + { + "epoch": 0.93, + "learning_rate": 1.3690922130383755e-07, + "loss": 0.7148, + "step": 31573 + }, + { + "epoch": 0.93, + "learning_rate": 1.3679867052612427e-07, + "loss": 0.6655, + "step": 31574 + }, + { + "epoch": 0.93, + "learning_rate": 1.3668816378088422e-07, + "loss": 0.9472, + "step": 31575 + }, + { + "epoch": 0.93, + "learning_rate": 1.3657770106911828e-07, + "loss": 0.7194, + "step": 31576 + }, + { + "epoch": 0.93, + "learning_rate": 1.3646728239182727e-07, + "loss": 0.5799, + "step": 31577 + }, + { + "epoch": 0.93, + "learning_rate": 1.363569077500093e-07, + "loss": 0.7652, + "step": 31578 + }, + { + "epoch": 0.93, + "learning_rate": 1.3624657714466528e-07, + "loss": 0.7054, + "step": 31579 + }, + { + "epoch": 0.93, + "learning_rate": 1.3613629057679324e-07, + "loss": 0.7056, + "step": 31580 + }, + { + "epoch": 0.93, + "learning_rate": 1.3602604804739183e-07, + "loss": 0.6814, + "step": 31581 + }, + { + "epoch": 0.93, + "learning_rate": 1.3591584955745974e-07, + "loss": 0.7315, + "step": 31582 + }, + { + "epoch": 0.93, + "learning_rate": 1.3580569510799447e-07, + "loss": 0.6589, + "step": 31583 + }, + { + "epoch": 0.93, + "learning_rate": 1.3569558469999356e-07, + "loss": 0.9619, + "step": 31584 + }, + { + "epoch": 0.93, + "learning_rate": 1.3558551833445287e-07, + "loss": 0.7193, + "step": 31585 + }, + { + "epoch": 0.93, + "learning_rate": 1.3547549601237053e-07, + "loss": 0.7335, + "step": 31586 + }, + { + "epoch": 0.93, + "learning_rate": 1.3536551773474183e-07, + "loss": 0.7385, + "step": 31587 + }, + { + "epoch": 0.93, + "learning_rate": 1.3525558350256262e-07, + "loss": 0.6223, + "step": 31588 + }, + { + "epoch": 0.93, + "learning_rate": 1.3514569331682826e-07, + "loss": 0.5903, + "step": 31589 + }, + { + "epoch": 0.93, + "learning_rate": 1.3503584717853402e-07, + "loss": 0.7726, + "step": 31590 + }, + { + "epoch": 0.93, + "learning_rate": 1.3492604508867358e-07, + "loss": 0.582, + "step": 31591 + }, + { + "epoch": 0.93, + "learning_rate": 1.3481628704824278e-07, + "loss": 0.6852, + "step": 31592 + }, + { + "epoch": 0.93, + "learning_rate": 1.3470657305823365e-07, + "loss": 0.7528, + "step": 31593 + }, + { + "epoch": 0.93, + "learning_rate": 1.345969031196409e-07, + "loss": 0.7626, + "step": 31594 + }, + { + "epoch": 0.93, + "learning_rate": 1.3448727723345655e-07, + "loss": 0.7667, + "step": 31595 + }, + { + "epoch": 0.93, + "learning_rate": 1.3437769540067424e-07, + "loss": 0.6092, + "step": 31596 + }, + { + "epoch": 0.93, + "learning_rate": 1.3426815762228483e-07, + "loss": 0.7019, + "step": 31597 + }, + { + "epoch": 0.93, + "learning_rate": 1.341586638992809e-07, + "loss": 0.8324, + "step": 31598 + }, + { + "epoch": 0.93, + "learning_rate": 1.3404921423265382e-07, + "loss": 0.9066, + "step": 31599 + }, + { + "epoch": 0.93, + "learning_rate": 1.339398086233945e-07, + "loss": 0.685, + "step": 31600 + }, + { + "epoch": 0.93, + "learning_rate": 1.3383044707249271e-07, + "loss": 0.7561, + "step": 31601 + }, + { + "epoch": 0.93, + "learning_rate": 1.337211295809393e-07, + "loss": 0.617, + "step": 31602 + }, + { + "epoch": 0.93, + "learning_rate": 1.3361185614972517e-07, + "loss": 0.6335, + "step": 31603 + }, + { + "epoch": 0.93, + "learning_rate": 1.3350262677983782e-07, + "loss": 0.9741, + "step": 31604 + }, + { + "epoch": 0.93, + "learning_rate": 1.3339344147226763e-07, + "loss": 0.7805, + "step": 31605 + }, + { + "epoch": 0.93, + "learning_rate": 1.332843002280021e-07, + "loss": 0.7987, + "step": 31606 + }, + { + "epoch": 0.93, + "learning_rate": 1.3317520304803044e-07, + "loss": 0.8943, + "step": 31607 + }, + { + "epoch": 0.93, + "learning_rate": 1.3306614993333967e-07, + "loss": 0.8802, + "step": 31608 + }, + { + "epoch": 0.93, + "learning_rate": 1.3295714088491729e-07, + "loss": 0.8147, + "step": 31609 + }, + { + "epoch": 0.93, + "learning_rate": 1.3284817590375033e-07, + "loss": 0.4706, + "step": 31610 + }, + { + "epoch": 0.93, + "learning_rate": 1.3273925499082574e-07, + "loss": 0.5409, + "step": 31611 + }, + { + "epoch": 0.93, + "learning_rate": 1.3263037814712942e-07, + "loss": 0.7978, + "step": 31612 + }, + { + "epoch": 0.93, + "learning_rate": 1.3252154537364724e-07, + "loss": 0.5665, + "step": 31613 + }, + { + "epoch": 0.93, + "learning_rate": 1.3241275667136456e-07, + "loss": 1.0602, + "step": 31614 + }, + { + "epoch": 0.93, + "learning_rate": 1.3230401204126663e-07, + "loss": 0.8268, + "step": 31615 + }, + { + "epoch": 0.93, + "learning_rate": 1.3219531148433772e-07, + "loss": 0.4691, + "step": 31616 + }, + { + "epoch": 0.93, + "learning_rate": 1.3208665500156204e-07, + "loss": 0.7662, + "step": 31617 + }, + { + "epoch": 0.93, + "learning_rate": 1.3197804259392377e-07, + "loss": 0.5838, + "step": 31618 + }, + { + "epoch": 0.93, + "learning_rate": 1.3186947426240549e-07, + "loss": 0.6342, + "step": 31619 + }, + { + "epoch": 0.93, + "learning_rate": 1.3176095000799082e-07, + "loss": 0.7484, + "step": 31620 + }, + { + "epoch": 0.93, + "learning_rate": 1.3165246983166234e-07, + "loss": 0.6385, + "step": 31621 + }, + { + "epoch": 0.93, + "learning_rate": 1.3154403373440262e-07, + "loss": 0.7655, + "step": 31622 + }, + { + "epoch": 0.93, + "learning_rate": 1.3143564171719247e-07, + "loss": 0.6835, + "step": 31623 + }, + { + "epoch": 0.93, + "learning_rate": 1.3132729378101395e-07, + "loss": 0.6111, + "step": 31624 + }, + { + "epoch": 0.93, + "learning_rate": 1.312189899268479e-07, + "loss": 0.6901, + "step": 31625 + }, + { + "epoch": 0.93, + "learning_rate": 1.3111073015567522e-07, + "loss": 0.5851, + "step": 31626 + }, + { + "epoch": 0.93, + "learning_rate": 1.3100251446847567e-07, + "loss": 0.4546, + "step": 31627 + }, + { + "epoch": 0.93, + "learning_rate": 1.308943428662296e-07, + "loss": 0.6059, + "step": 31628 + }, + { + "epoch": 0.93, + "learning_rate": 1.3078621534991564e-07, + "loss": 0.7238, + "step": 31629 + }, + { + "epoch": 0.93, + "learning_rate": 1.3067813192051303e-07, + "loss": 0.6132, + "step": 31630 + }, + { + "epoch": 0.93, + "learning_rate": 1.30570092579001e-07, + "loss": 0.8332, + "step": 31631 + }, + { + "epoch": 0.93, + "learning_rate": 1.3046209732635761e-07, + "loss": 0.7141, + "step": 31632 + }, + { + "epoch": 0.93, + "learning_rate": 1.303541461635599e-07, + "loss": 0.7538, + "step": 31633 + }, + { + "epoch": 0.93, + "learning_rate": 1.302462390915865e-07, + "loss": 0.6562, + "step": 31634 + }, + { + "epoch": 0.93, + "learning_rate": 1.3013837611141277e-07, + "loss": 0.8356, + "step": 31635 + }, + { + "epoch": 0.93, + "learning_rate": 1.3003055722401736e-07, + "loss": 0.4236, + "step": 31636 + }, + { + "epoch": 0.93, + "learning_rate": 1.2992278243037447e-07, + "loss": 0.798, + "step": 31637 + }, + { + "epoch": 0.93, + "learning_rate": 1.2981505173146168e-07, + "loss": 0.5803, + "step": 31638 + }, + { + "epoch": 0.93, + "learning_rate": 1.2970736512825321e-07, + "loss": 0.5884, + "step": 31639 + }, + { + "epoch": 0.93, + "learning_rate": 1.2959972262172382e-07, + "loss": 0.7768, + "step": 31640 + }, + { + "epoch": 0.93, + "learning_rate": 1.2949212421284996e-07, + "loss": 0.8223, + "step": 31641 + }, + { + "epoch": 0.93, + "learning_rate": 1.2938456990260362e-07, + "loss": 0.8874, + "step": 31642 + }, + { + "epoch": 0.93, + "learning_rate": 1.2927705969196014e-07, + "loss": 0.7551, + "step": 31643 + }, + { + "epoch": 0.93, + "learning_rate": 1.2916959358189262e-07, + "loss": 0.5984, + "step": 31644 + }, + { + "epoch": 0.93, + "learning_rate": 1.2906217157337363e-07, + "loss": 0.757, + "step": 31645 + }, + { + "epoch": 0.93, + "learning_rate": 1.2895479366737572e-07, + "loss": 0.5133, + "step": 31646 + }, + { + "epoch": 0.93, + "learning_rate": 1.2884745986487256e-07, + "loss": 0.6701, + "step": 31647 + }, + { + "epoch": 0.93, + "learning_rate": 1.2874017016683392e-07, + "loss": 0.603, + "step": 31648 + }, + { + "epoch": 0.93, + "learning_rate": 1.2863292457423238e-07, + "loss": 0.9002, + "step": 31649 + }, + { + "epoch": 0.93, + "learning_rate": 1.2852572308803825e-07, + "loss": 0.6291, + "step": 31650 + }, + { + "epoch": 0.93, + "learning_rate": 1.284185657092235e-07, + "loss": 0.8565, + "step": 31651 + }, + { + "epoch": 0.93, + "learning_rate": 1.2831145243875686e-07, + "loss": 0.7672, + "step": 31652 + }, + { + "epoch": 0.93, + "learning_rate": 1.2820438327760977e-07, + "loss": 0.7198, + "step": 31653 + }, + { + "epoch": 0.93, + "learning_rate": 1.2809735822674973e-07, + "loss": 0.5278, + "step": 31654 + }, + { + "epoch": 0.93, + "learning_rate": 1.279903772871477e-07, + "loss": 0.5794, + "step": 31655 + }, + { + "epoch": 0.93, + "learning_rate": 1.2788344045977064e-07, + "loss": 0.9257, + "step": 31656 + }, + { + "epoch": 0.93, + "learning_rate": 1.277765477455878e-07, + "loss": 0.7864, + "step": 31657 + }, + { + "epoch": 0.93, + "learning_rate": 1.276696991455667e-07, + "loss": 0.6009, + "step": 31658 + }, + { + "epoch": 0.93, + "learning_rate": 1.2756289466067495e-07, + "loss": 0.8961, + "step": 31659 + }, + { + "epoch": 0.93, + "learning_rate": 1.27456134291879e-07, + "loss": 0.4645, + "step": 31660 + }, + { + "epoch": 0.93, + "learning_rate": 1.2734941804014578e-07, + "loss": 0.6192, + "step": 31661 + }, + { + "epoch": 0.93, + "learning_rate": 1.2724274590644182e-07, + "loss": 0.6918, + "step": 31662 + }, + { + "epoch": 0.93, + "learning_rate": 1.2713611789173298e-07, + "loss": 0.7168, + "step": 31663 + }, + { + "epoch": 0.93, + "learning_rate": 1.2702953399698459e-07, + "loss": 0.6578, + "step": 31664 + }, + { + "epoch": 0.93, + "learning_rate": 1.269229942231609e-07, + "loss": 0.8475, + "step": 31665 + }, + { + "epoch": 0.93, + "learning_rate": 1.268164985712278e-07, + "loss": 0.6881, + "step": 31666 + }, + { + "epoch": 0.93, + "learning_rate": 1.2671004704214895e-07, + "loss": 0.8842, + "step": 31667 + }, + { + "epoch": 0.93, + "learning_rate": 1.2660363963688804e-07, + "loss": 0.6468, + "step": 31668 + }, + { + "epoch": 0.93, + "learning_rate": 1.264972763564082e-07, + "loss": 0.8154, + "step": 31669 + }, + { + "epoch": 0.93, + "learning_rate": 1.263909572016736e-07, + "loss": 0.6343, + "step": 31670 + }, + { + "epoch": 0.93, + "learning_rate": 1.262846821736452e-07, + "loss": 0.7367, + "step": 31671 + }, + { + "epoch": 0.93, + "learning_rate": 1.2617845127328721e-07, + "loss": 0.7843, + "step": 31672 + }, + { + "epoch": 0.93, + "learning_rate": 1.2607226450155997e-07, + "loss": 0.6527, + "step": 31673 + }, + { + "epoch": 0.93, + "learning_rate": 1.2596612185942604e-07, + "loss": 0.6246, + "step": 31674 + }, + { + "epoch": 0.93, + "learning_rate": 1.258600233478452e-07, + "loss": 0.928, + "step": 31675 + }, + { + "epoch": 0.93, + "learning_rate": 1.2575396896777947e-07, + "loss": 0.5778, + "step": 31676 + }, + { + "epoch": 0.93, + "learning_rate": 1.2564795872018753e-07, + "loss": 0.6064, + "step": 31677 + }, + { + "epoch": 0.93, + "learning_rate": 1.2554199260603084e-07, + "loss": 0.7957, + "step": 31678 + }, + { + "epoch": 0.93, + "learning_rate": 1.2543607062626694e-07, + "loss": 0.7112, + "step": 31679 + }, + { + "epoch": 0.93, + "learning_rate": 1.2533019278185676e-07, + "loss": 0.5091, + "step": 31680 + }, + { + "epoch": 0.93, + "learning_rate": 1.2522435907375784e-07, + "loss": 0.4948, + "step": 31681 + }, + { + "epoch": 0.93, + "learning_rate": 1.2511856950292888e-07, + "loss": 0.8784, + "step": 31682 + }, + { + "epoch": 0.93, + "learning_rate": 1.25012824070328e-07, + "loss": 0.8505, + "step": 31683 + }, + { + "epoch": 0.93, + "learning_rate": 1.2490712277691163e-07, + "loss": 0.8632, + "step": 31684 + }, + { + "epoch": 0.93, + "learning_rate": 1.2480146562363793e-07, + "loss": 0.6723, + "step": 31685 + }, + { + "epoch": 0.93, + "learning_rate": 1.2469585261146222e-07, + "loss": 0.7806, + "step": 31686 + }, + { + "epoch": 0.93, + "learning_rate": 1.2459028374134208e-07, + "loss": 0.7652, + "step": 31687 + }, + { + "epoch": 0.93, + "learning_rate": 1.2448475901423285e-07, + "loss": 0.5007, + "step": 31688 + }, + { + "epoch": 0.93, + "learning_rate": 1.2437927843108933e-07, + "loss": 0.6144, + "step": 31689 + }, + { + "epoch": 0.93, + "learning_rate": 1.242738419928674e-07, + "loss": 0.8109, + "step": 31690 + }, + { + "epoch": 0.93, + "learning_rate": 1.241684497005219e-07, + "loss": 0.7138, + "step": 31691 + }, + { + "epoch": 0.93, + "learning_rate": 1.2406310155500644e-07, + "loss": 0.8376, + "step": 31692 + }, + { + "epoch": 0.93, + "learning_rate": 1.2395779755727532e-07, + "loss": 0.5126, + "step": 31693 + }, + { + "epoch": 0.93, + "learning_rate": 1.238525377082811e-07, + "loss": 0.7733, + "step": 31694 + }, + { + "epoch": 0.93, + "learning_rate": 1.23747322008978e-07, + "loss": 1.0012, + "step": 31695 + }, + { + "epoch": 0.93, + "learning_rate": 1.2364215046031802e-07, + "loss": 0.6593, + "step": 31696 + }, + { + "epoch": 0.93, + "learning_rate": 1.2353702306325378e-07, + "loss": 0.6482, + "step": 31697 + }, + { + "epoch": 0.93, + "learning_rate": 1.2343193981873612e-07, + "loss": 0.7341, + "step": 31698 + }, + { + "epoch": 0.93, + "learning_rate": 1.233269007277177e-07, + "loss": 0.7564, + "step": 31699 + }, + { + "epoch": 0.93, + "learning_rate": 1.2322190579114936e-07, + "loss": 0.5494, + "step": 31700 + }, + { + "epoch": 0.93, + "learning_rate": 1.2311695500998088e-07, + "loss": 0.63, + "step": 31701 + }, + { + "epoch": 0.93, + "learning_rate": 1.2301204838516322e-07, + "loss": 0.803, + "step": 31702 + }, + { + "epoch": 0.93, + "learning_rate": 1.2290718591764615e-07, + "loss": 0.7341, + "step": 31703 + }, + { + "epoch": 0.93, + "learning_rate": 1.2280236760837948e-07, + "loss": 0.7206, + "step": 31704 + }, + { + "epoch": 0.93, + "learning_rate": 1.2269759345831133e-07, + "loss": 0.5484, + "step": 31705 + }, + { + "epoch": 0.93, + "learning_rate": 1.225928634683915e-07, + "loss": 0.7735, + "step": 31706 + }, + { + "epoch": 0.93, + "learning_rate": 1.22488177639567e-07, + "loss": 0.5749, + "step": 31707 + }, + { + "epoch": 0.93, + "learning_rate": 1.2238353597278706e-07, + "loss": 0.8763, + "step": 31708 + }, + { + "epoch": 0.93, + "learning_rate": 1.2227893846899708e-07, + "loss": 0.6635, + "step": 31709 + }, + { + "epoch": 0.93, + "learning_rate": 1.2217438512914625e-07, + "loss": 0.6547, + "step": 31710 + }, + { + "epoch": 0.93, + "learning_rate": 1.2206987595417997e-07, + "loss": 0.7391, + "step": 31711 + }, + { + "epoch": 0.93, + "learning_rate": 1.2196541094504522e-07, + "loss": 0.6999, + "step": 31712 + }, + { + "epoch": 0.93, + "learning_rate": 1.2186099010268736e-07, + "loss": 0.6133, + "step": 31713 + }, + { + "epoch": 0.93, + "learning_rate": 1.2175661342805233e-07, + "loss": 0.8137, + "step": 31714 + }, + { + "epoch": 0.93, + "learning_rate": 1.2165228092208437e-07, + "loss": 0.7609, + "step": 31715 + }, + { + "epoch": 0.93, + "learning_rate": 1.215479925857288e-07, + "loss": 0.6613, + "step": 31716 + }, + { + "epoch": 0.93, + "learning_rate": 1.214437484199299e-07, + "loss": 0.817, + "step": 31717 + }, + { + "epoch": 0.93, + "learning_rate": 1.2133954842563078e-07, + "loss": 0.846, + "step": 31718 + }, + { + "epoch": 0.93, + "learning_rate": 1.212353926037757e-07, + "loss": 0.6058, + "step": 31719 + }, + { + "epoch": 0.93, + "learning_rate": 1.2113128095530725e-07, + "loss": 0.9861, + "step": 31720 + }, + { + "epoch": 0.93, + "learning_rate": 1.2102721348116852e-07, + "loss": 0.6485, + "step": 31721 + }, + { + "epoch": 0.93, + "learning_rate": 1.2092319018230103e-07, + "loss": 0.9822, + "step": 31722 + }, + { + "epoch": 0.93, + "learning_rate": 1.2081921105964733e-07, + "loss": 0.8618, + "step": 31723 + }, + { + "epoch": 0.93, + "learning_rate": 1.2071527611414836e-07, + "loss": 0.8618, + "step": 31724 + }, + { + "epoch": 0.93, + "learning_rate": 1.206113853467461e-07, + "loss": 0.6741, + "step": 31725 + }, + { + "epoch": 0.93, + "learning_rate": 1.2050753875837983e-07, + "loss": 0.5615, + "step": 31726 + }, + { + "epoch": 0.93, + "learning_rate": 1.2040373634999049e-07, + "loss": 1.1055, + "step": 31727 + }, + { + "epoch": 0.93, + "learning_rate": 1.2029997812251782e-07, + "loss": 0.8033, + "step": 31728 + }, + { + "epoch": 0.93, + "learning_rate": 1.2019626407690165e-07, + "loss": 0.9184, + "step": 31729 + }, + { + "epoch": 0.93, + "learning_rate": 1.200925942140807e-07, + "loss": 0.7466, + "step": 31730 + }, + { + "epoch": 0.93, + "learning_rate": 1.1998896853499365e-07, + "loss": 0.9327, + "step": 31731 + }, + { + "epoch": 0.93, + "learning_rate": 1.1988538704057861e-07, + "loss": 0.6363, + "step": 31732 + }, + { + "epoch": 0.93, + "learning_rate": 1.197818497317743e-07, + "loss": 0.5633, + "step": 31733 + }, + { + "epoch": 0.93, + "learning_rate": 1.1967835660951667e-07, + "loss": 0.5107, + "step": 31734 + }, + { + "epoch": 0.93, + "learning_rate": 1.1957490767474435e-07, + "loss": 0.5097, + "step": 31735 + }, + { + "epoch": 0.93, + "learning_rate": 1.1947150292839215e-07, + "loss": 0.7199, + "step": 31736 + }, + { + "epoch": 0.93, + "learning_rate": 1.1936814237139827e-07, + "loss": 0.7611, + "step": 31737 + }, + { + "epoch": 0.93, + "learning_rate": 1.192648260046969e-07, + "loss": 0.5631, + "step": 31738 + }, + { + "epoch": 0.93, + "learning_rate": 1.1916155382922457e-07, + "loss": 0.731, + "step": 31739 + }, + { + "epoch": 0.93, + "learning_rate": 1.1905832584591659e-07, + "loss": 0.6606, + "step": 31740 + }, + { + "epoch": 0.93, + "learning_rate": 1.1895514205570614e-07, + "loss": 0.7382, + "step": 31741 + }, + { + "epoch": 0.93, + "learning_rate": 1.188520024595291e-07, + "loss": 0.6547, + "step": 31742 + }, + { + "epoch": 0.93, + "learning_rate": 1.1874890705831754e-07, + "loss": 0.6738, + "step": 31743 + }, + { + "epoch": 0.93, + "learning_rate": 1.1864585585300737e-07, + "loss": 0.6964, + "step": 31744 + }, + { + "epoch": 0.93, + "learning_rate": 1.1854284884452893e-07, + "loss": 0.9198, + "step": 31745 + }, + { + "epoch": 0.93, + "learning_rate": 1.1843988603381707e-07, + "loss": 0.6543, + "step": 31746 + }, + { + "epoch": 0.93, + "learning_rate": 1.1833696742180211e-07, + "loss": 0.9287, + "step": 31747 + }, + { + "epoch": 0.93, + "learning_rate": 1.1823409300941724e-07, + "loss": 0.6335, + "step": 31748 + }, + { + "epoch": 0.93, + "learning_rate": 1.1813126279759335e-07, + "loss": 0.6156, + "step": 31749 + }, + { + "epoch": 0.93, + "learning_rate": 1.1802847678726249e-07, + "loss": 0.6287, + "step": 31750 + }, + { + "epoch": 0.93, + "learning_rate": 1.1792573497935389e-07, + "loss": 0.6836, + "step": 31751 + }, + { + "epoch": 0.93, + "learning_rate": 1.1782303737479905e-07, + "loss": 0.7781, + "step": 31752 + }, + { + "epoch": 0.93, + "learning_rate": 1.1772038397452668e-07, + "loss": 0.5447, + "step": 31753 + }, + { + "epoch": 0.93, + "learning_rate": 1.1761777477946712e-07, + "loss": 0.6496, + "step": 31754 + }, + { + "epoch": 0.93, + "learning_rate": 1.1751520979054854e-07, + "loss": 0.8381, + "step": 31755 + }, + { + "epoch": 0.93, + "learning_rate": 1.1741268900870017e-07, + "loss": 0.6601, + "step": 31756 + }, + { + "epoch": 0.93, + "learning_rate": 1.173102124348502e-07, + "loss": 0.6306, + "step": 31757 + }, + { + "epoch": 0.93, + "learning_rate": 1.1720778006992617e-07, + "loss": 0.6035, + "step": 31758 + }, + { + "epoch": 0.93, + "learning_rate": 1.1710539191485681e-07, + "loss": 0.617, + "step": 31759 + }, + { + "epoch": 0.93, + "learning_rate": 1.1700304797056694e-07, + "loss": 0.8213, + "step": 31760 + }, + { + "epoch": 0.93, + "learning_rate": 1.1690074823798526e-07, + "loss": 0.5237, + "step": 31761 + }, + { + "epoch": 0.93, + "learning_rate": 1.1679849271803656e-07, + "loss": 0.5754, + "step": 31762 + }, + { + "epoch": 0.93, + "learning_rate": 1.166962814116479e-07, + "loss": 0.7229, + "step": 31763 + }, + { + "epoch": 0.93, + "learning_rate": 1.1659411431974355e-07, + "loss": 0.6908, + "step": 31764 + }, + { + "epoch": 0.93, + "learning_rate": 1.164919914432494e-07, + "loss": 0.8197, + "step": 31765 + }, + { + "epoch": 0.93, + "learning_rate": 1.1638991278308975e-07, + "loss": 0.8611, + "step": 31766 + }, + { + "epoch": 0.93, + "learning_rate": 1.1628787834018884e-07, + "loss": 0.7335, + "step": 31767 + }, + { + "epoch": 0.93, + "learning_rate": 1.1618588811546983e-07, + "loss": 0.7967, + "step": 31768 + }, + { + "epoch": 0.93, + "learning_rate": 1.1608394210985807e-07, + "loss": 1.0008, + "step": 31769 + }, + { + "epoch": 0.93, + "learning_rate": 1.1598204032427507e-07, + "loss": 0.601, + "step": 31770 + }, + { + "epoch": 0.93, + "learning_rate": 1.1588018275964396e-07, + "loss": 0.6403, + "step": 31771 + }, + { + "epoch": 0.93, + "learning_rate": 1.1577836941688625e-07, + "loss": 0.7889, + "step": 31772 + }, + { + "epoch": 0.93, + "learning_rate": 1.1567660029692507e-07, + "loss": 0.6306, + "step": 31773 + }, + { + "epoch": 0.93, + "learning_rate": 1.155748754006808e-07, + "loss": 0.8292, + "step": 31774 + }, + { + "epoch": 0.93, + "learning_rate": 1.1547319472907548e-07, + "loss": 0.6959, + "step": 31775 + }, + { + "epoch": 0.93, + "learning_rate": 1.1537155828302838e-07, + "loss": 0.5719, + "step": 31776 + }, + { + "epoch": 0.93, + "learning_rate": 1.1526996606346097e-07, + "loss": 0.7264, + "step": 31777 + }, + { + "epoch": 0.93, + "learning_rate": 1.1516841807129198e-07, + "loss": 0.5824, + "step": 31778 + }, + { + "epoch": 0.93, + "learning_rate": 1.1506691430744121e-07, + "loss": 0.6636, + "step": 31779 + }, + { + "epoch": 0.93, + "learning_rate": 1.1496545477282905e-07, + "loss": 0.6729, + "step": 31780 + }, + { + "epoch": 0.93, + "learning_rate": 1.1486403946837254e-07, + "loss": 0.5953, + "step": 31781 + }, + { + "epoch": 0.93, + "learning_rate": 1.147626683949904e-07, + "loss": 0.6299, + "step": 31782 + }, + { + "epoch": 0.93, + "learning_rate": 1.146613415536002e-07, + "loss": 0.7103, + "step": 31783 + }, + { + "epoch": 0.93, + "learning_rate": 1.1456005894512012e-07, + "loss": 0.5691, + "step": 31784 + }, + { + "epoch": 0.93, + "learning_rate": 1.1445882057046665e-07, + "loss": 0.5339, + "step": 31785 + }, + { + "epoch": 0.93, + "learning_rate": 1.1435762643055626e-07, + "loss": 0.5313, + "step": 31786 + }, + { + "epoch": 0.93, + "learning_rate": 1.1425647652630545e-07, + "loss": 0.9169, + "step": 31787 + }, + { + "epoch": 0.93, + "learning_rate": 1.1415537085863015e-07, + "loss": 0.6551, + "step": 31788 + }, + { + "epoch": 0.93, + "learning_rate": 1.1405430942844519e-07, + "loss": 0.6747, + "step": 31789 + }, + { + "epoch": 0.93, + "learning_rate": 1.1395329223666707e-07, + "loss": 0.9833, + "step": 31790 + }, + { + "epoch": 0.93, + "learning_rate": 1.1385231928420836e-07, + "loss": 0.6198, + "step": 31791 + }, + { + "epoch": 0.93, + "learning_rate": 1.1375139057198558e-07, + "loss": 0.8128, + "step": 31792 + }, + { + "epoch": 0.93, + "learning_rate": 1.1365050610091022e-07, + "loss": 0.8206, + "step": 31793 + }, + { + "epoch": 0.93, + "learning_rate": 1.1354966587189764e-07, + "loss": 0.8636, + "step": 31794 + }, + { + "epoch": 0.93, + "learning_rate": 1.1344886988585935e-07, + "loss": 0.5151, + "step": 31795 + }, + { + "epoch": 0.93, + "learning_rate": 1.133481181437096e-07, + "loss": 0.7446, + "step": 31796 + }, + { + "epoch": 0.93, + "learning_rate": 1.132474106463588e-07, + "loss": 0.5496, + "step": 31797 + }, + { + "epoch": 0.93, + "learning_rate": 1.1314674739472009e-07, + "loss": 0.6212, + "step": 31798 + }, + { + "epoch": 0.93, + "learning_rate": 1.1304612838970441e-07, + "loss": 0.7709, + "step": 31799 + }, + { + "epoch": 0.93, + "learning_rate": 1.1294555363222271e-07, + "loss": 0.6949, + "step": 31800 + }, + { + "epoch": 0.93, + "learning_rate": 1.1284502312318646e-07, + "loss": 0.8689, + "step": 31801 + }, + { + "epoch": 0.93, + "learning_rate": 1.127445368635044e-07, + "loss": 0.564, + "step": 31802 + }, + { + "epoch": 0.93, + "learning_rate": 1.12644094854088e-07, + "loss": 0.8467, + "step": 31803 + }, + { + "epoch": 0.93, + "learning_rate": 1.1254369709584489e-07, + "loss": 0.3935, + "step": 31804 + }, + { + "epoch": 0.93, + "learning_rate": 1.1244334358968545e-07, + "loss": 0.9299, + "step": 31805 + }, + { + "epoch": 0.93, + "learning_rate": 1.1234303433651783e-07, + "loss": 0.8938, + "step": 31806 + }, + { + "epoch": 0.93, + "learning_rate": 1.1224276933725075e-07, + "loss": 1.0021, + "step": 31807 + }, + { + "epoch": 0.93, + "learning_rate": 1.1214254859279073e-07, + "loss": 0.8269, + "step": 31808 + }, + { + "epoch": 0.93, + "learning_rate": 1.12042372104047e-07, + "loss": 0.887, + "step": 31809 + }, + { + "epoch": 0.93, + "learning_rate": 1.1194223987192499e-07, + "loss": 0.6181, + "step": 31810 + }, + { + "epoch": 0.93, + "learning_rate": 1.1184215189733227e-07, + "loss": 0.5003, + "step": 31811 + }, + { + "epoch": 0.93, + "learning_rate": 1.1174210818117426e-07, + "loss": 0.7928, + "step": 31812 + }, + { + "epoch": 0.93, + "learning_rate": 1.11642108724358e-07, + "loss": 0.8169, + "step": 31813 + }, + { + "epoch": 0.93, + "learning_rate": 1.1154215352778774e-07, + "loss": 0.6227, + "step": 31814 + }, + { + "epoch": 0.93, + "learning_rate": 1.1144224259236946e-07, + "loss": 0.5743, + "step": 31815 + }, + { + "epoch": 0.93, + "learning_rate": 1.1134237591900632e-07, + "loss": 0.9393, + "step": 31816 + }, + { + "epoch": 0.93, + "learning_rate": 1.1124255350860369e-07, + "loss": 0.7545, + "step": 31817 + }, + { + "epoch": 0.93, + "learning_rate": 1.111427753620653e-07, + "loss": 0.8395, + "step": 31818 + }, + { + "epoch": 0.93, + "learning_rate": 1.1104304148029488e-07, + "loss": 0.5825, + "step": 31819 + }, + { + "epoch": 0.93, + "learning_rate": 1.1094335186419448e-07, + "loss": 0.6458, + "step": 31820 + }, + { + "epoch": 0.93, + "learning_rate": 1.1084370651466781e-07, + "loss": 0.7404, + "step": 31821 + }, + { + "epoch": 0.93, + "learning_rate": 1.1074410543261582e-07, + "loss": 0.6999, + "step": 31822 + }, + { + "epoch": 0.93, + "learning_rate": 1.1064454861894169e-07, + "loss": 0.6633, + "step": 31823 + }, + { + "epoch": 0.93, + "learning_rate": 1.1054503607454581e-07, + "loss": 0.7957, + "step": 31824 + }, + { + "epoch": 0.93, + "learning_rate": 1.1044556780032911e-07, + "loss": 0.7942, + "step": 31825 + }, + { + "epoch": 0.94, + "learning_rate": 1.1034614379719311e-07, + "loss": 0.5853, + "step": 31826 + }, + { + "epoch": 0.94, + "learning_rate": 1.1024676406603651e-07, + "loss": 0.8282, + "step": 31827 + }, + { + "epoch": 0.94, + "learning_rate": 1.101474286077614e-07, + "loss": 0.7641, + "step": 31828 + }, + { + "epoch": 0.94, + "learning_rate": 1.1004813742326481e-07, + "loss": 0.8602, + "step": 31829 + }, + { + "epoch": 0.94, + "learning_rate": 1.0994889051344771e-07, + "loss": 0.6773, + "step": 31830 + }, + { + "epoch": 0.94, + "learning_rate": 1.0984968787920713e-07, + "loss": 0.761, + "step": 31831 + }, + { + "epoch": 0.94, + "learning_rate": 1.0975052952144239e-07, + "loss": 0.8423, + "step": 31832 + }, + { + "epoch": 0.94, + "learning_rate": 1.0965141544105051e-07, + "loss": 0.4883, + "step": 31833 + }, + { + "epoch": 0.94, + "learning_rate": 1.0955234563892969e-07, + "loss": 0.9319, + "step": 31834 + }, + { + "epoch": 0.94, + "learning_rate": 1.0945332011597587e-07, + "loss": 0.8327, + "step": 31835 + }, + { + "epoch": 0.94, + "learning_rate": 1.0935433887308721e-07, + "loss": 0.4788, + "step": 31836 + }, + { + "epoch": 0.94, + "learning_rate": 1.0925540191115746e-07, + "loss": 0.7257, + "step": 31837 + }, + { + "epoch": 0.94, + "learning_rate": 1.0915650923108478e-07, + "loss": 0.619, + "step": 31838 + }, + { + "epoch": 0.94, + "learning_rate": 1.0905766083376346e-07, + "loss": 0.8821, + "step": 31839 + }, + { + "epoch": 0.94, + "learning_rate": 1.0895885672008944e-07, + "loss": 0.6301, + "step": 31840 + }, + { + "epoch": 0.94, + "learning_rate": 1.088600968909559e-07, + "loss": 0.9186, + "step": 31841 + }, + { + "epoch": 0.94, + "learning_rate": 1.0876138134725823e-07, + "loss": 0.7349, + "step": 31842 + }, + { + "epoch": 0.94, + "learning_rate": 1.0866271008988905e-07, + "loss": 1.0867, + "step": 31843 + }, + { + "epoch": 0.94, + "learning_rate": 1.085640831197432e-07, + "loss": 0.5703, + "step": 31844 + }, + { + "epoch": 0.94, + "learning_rate": 1.084655004377122e-07, + "loss": 0.8406, + "step": 31845 + }, + { + "epoch": 0.94, + "learning_rate": 1.0836696204468978e-07, + "loss": 0.4662, + "step": 31846 + }, + { + "epoch": 0.94, + "learning_rate": 1.0826846794156742e-07, + "loss": 0.5185, + "step": 31847 + }, + { + "epoch": 0.94, + "learning_rate": 1.0817001812923722e-07, + "loss": 0.7668, + "step": 31848 + }, + { + "epoch": 0.94, + "learning_rate": 1.0807161260859067e-07, + "loss": 0.7558, + "step": 31849 + }, + { + "epoch": 0.94, + "learning_rate": 1.0797325138051873e-07, + "loss": 0.7406, + "step": 31850 + }, + { + "epoch": 0.94, + "learning_rate": 1.0787493444591179e-07, + "loss": 0.7791, + "step": 31851 + }, + { + "epoch": 0.94, + "learning_rate": 1.0777666180565972e-07, + "loss": 0.6582, + "step": 31852 + }, + { + "epoch": 0.94, + "learning_rate": 1.0767843346065288e-07, + "loss": 0.8196, + "step": 31853 + }, + { + "epoch": 0.94, + "learning_rate": 1.0758024941178059e-07, + "loss": 0.8833, + "step": 31854 + }, + { + "epoch": 0.94, + "learning_rate": 1.0748210965993156e-07, + "loss": 0.7345, + "step": 31855 + }, + { + "epoch": 0.94, + "learning_rate": 1.0738401420599454e-07, + "loss": 0.4619, + "step": 31856 + }, + { + "epoch": 0.94, + "learning_rate": 1.0728596305085714e-07, + "loss": 0.8832, + "step": 31857 + }, + { + "epoch": 0.94, + "learning_rate": 1.0718795619540811e-07, + "loss": 0.5978, + "step": 31858 + }, + { + "epoch": 0.94, + "learning_rate": 1.0708999364053452e-07, + "loss": 0.578, + "step": 31859 + }, + { + "epoch": 0.94, + "learning_rate": 1.0699207538712286e-07, + "loss": 0.9981, + "step": 31860 + }, + { + "epoch": 0.94, + "learning_rate": 1.0689420143606077e-07, + "loss": 0.9102, + "step": 31861 + }, + { + "epoch": 0.94, + "learning_rate": 1.067963717882331e-07, + "loss": 0.5173, + "step": 31862 + }, + { + "epoch": 0.94, + "learning_rate": 1.0669858644452635e-07, + "loss": 0.5396, + "step": 31863 + }, + { + "epoch": 0.94, + "learning_rate": 1.0660084540582538e-07, + "loss": 0.8478, + "step": 31864 + }, + { + "epoch": 0.94, + "learning_rate": 1.0650314867301615e-07, + "loss": 0.5391, + "step": 31865 + }, + { + "epoch": 0.94, + "learning_rate": 1.0640549624698237e-07, + "loss": 0.4576, + "step": 31866 + }, + { + "epoch": 0.94, + "learning_rate": 1.0630788812860781e-07, + "loss": 0.9045, + "step": 31867 + }, + { + "epoch": 0.94, + "learning_rate": 1.0621032431877787e-07, + "loss": 0.7084, + "step": 31868 + }, + { + "epoch": 0.94, + "learning_rate": 1.061128048183746e-07, + "loss": 0.8946, + "step": 31869 + }, + { + "epoch": 0.94, + "learning_rate": 1.060153296282812e-07, + "loss": 0.6322, + "step": 31870 + }, + { + "epoch": 0.94, + "learning_rate": 1.059178987493803e-07, + "loss": 0.7795, + "step": 31871 + }, + { + "epoch": 0.94, + "learning_rate": 1.0582051218255395e-07, + "loss": 0.8166, + "step": 31872 + }, + { + "epoch": 0.94, + "learning_rate": 1.0572316992868425e-07, + "loss": 0.7806, + "step": 31873 + }, + { + "epoch": 0.94, + "learning_rate": 1.0562587198865215e-07, + "loss": 0.8439, + "step": 31874 + }, + { + "epoch": 0.94, + "learning_rate": 1.055286183633386e-07, + "loss": 0.6079, + "step": 31875 + }, + { + "epoch": 0.94, + "learning_rate": 1.0543140905362514e-07, + "loss": 0.5935, + "step": 31876 + }, + { + "epoch": 0.94, + "learning_rate": 1.0533424406038995e-07, + "loss": 0.6734, + "step": 31877 + }, + { + "epoch": 0.94, + "learning_rate": 1.0523712338451508e-07, + "loss": 0.7549, + "step": 31878 + }, + { + "epoch": 0.94, + "learning_rate": 1.051400470268782e-07, + "loss": 0.5816, + "step": 31879 + }, + { + "epoch": 0.94, + "learning_rate": 1.0504301498835912e-07, + "loss": 0.8143, + "step": 31880 + }, + { + "epoch": 0.94, + "learning_rate": 1.049460272698355e-07, + "loss": 0.6098, + "step": 31881 + }, + { + "epoch": 0.94, + "learning_rate": 1.0484908387218662e-07, + "loss": 0.794, + "step": 31882 + }, + { + "epoch": 0.94, + "learning_rate": 1.0475218479628958e-07, + "loss": 0.7808, + "step": 31883 + }, + { + "epoch": 0.94, + "learning_rate": 1.0465533004302198e-07, + "loss": 0.6797, + "step": 31884 + }, + { + "epoch": 0.94, + "learning_rate": 1.0455851961326036e-07, + "loss": 0.7693, + "step": 31885 + }, + { + "epoch": 0.94, + "learning_rate": 1.0446175350788124e-07, + "loss": 0.7328, + "step": 31886 + }, + { + "epoch": 0.94, + "learning_rate": 1.0436503172776168e-07, + "loss": 0.6868, + "step": 31887 + }, + { + "epoch": 0.94, + "learning_rate": 1.0426835427377658e-07, + "loss": 0.858, + "step": 31888 + }, + { + "epoch": 0.94, + "learning_rate": 1.041717211468013e-07, + "loss": 1.0415, + "step": 31889 + }, + { + "epoch": 0.94, + "learning_rate": 1.0407513234771127e-07, + "loss": 0.8351, + "step": 31890 + }, + { + "epoch": 0.94, + "learning_rate": 1.0397858787738079e-07, + "loss": 0.739, + "step": 31891 + }, + { + "epoch": 0.94, + "learning_rate": 1.0388208773668307e-07, + "loss": 0.5445, + "step": 31892 + }, + { + "epoch": 0.94, + "learning_rate": 1.0378563192649349e-07, + "loss": 0.5569, + "step": 31893 + }, + { + "epoch": 0.94, + "learning_rate": 1.0368922044768415e-07, + "loss": 0.9974, + "step": 31894 + }, + { + "epoch": 0.94, + "learning_rate": 1.0359285330112933e-07, + "loss": 0.7572, + "step": 31895 + }, + { + "epoch": 0.94, + "learning_rate": 1.0349653048769892e-07, + "loss": 0.5907, + "step": 31896 + }, + { + "epoch": 0.94, + "learning_rate": 1.0340025200826831e-07, + "loss": 0.8025, + "step": 31897 + }, + { + "epoch": 0.94, + "learning_rate": 1.0330401786370681e-07, + "loss": 0.6618, + "step": 31898 + }, + { + "epoch": 0.94, + "learning_rate": 1.0320782805488705e-07, + "loss": 0.7216, + "step": 31899 + }, + { + "epoch": 0.94, + "learning_rate": 1.0311168258267945e-07, + "loss": 0.7244, + "step": 31900 + }, + { + "epoch": 0.94, + "learning_rate": 1.0301558144795498e-07, + "loss": 0.8609, + "step": 31901 + }, + { + "epoch": 0.94, + "learning_rate": 1.0291952465158239e-07, + "loss": 0.6069, + "step": 31902 + }, + { + "epoch": 0.94, + "learning_rate": 1.0282351219443376e-07, + "loss": 0.7173, + "step": 31903 + }, + { + "epoch": 0.94, + "learning_rate": 1.0272754407737562e-07, + "loss": 0.6542, + "step": 31904 + }, + { + "epoch": 0.94, + "learning_rate": 1.026316203012795e-07, + "loss": 0.6148, + "step": 31905 + }, + { + "epoch": 0.94, + "learning_rate": 1.025357408670119e-07, + "loss": 0.6582, + "step": 31906 + }, + { + "epoch": 0.94, + "learning_rate": 1.0243990577544215e-07, + "loss": 0.6183, + "step": 31907 + }, + { + "epoch": 0.94, + "learning_rate": 1.0234411502743736e-07, + "loss": 0.7038, + "step": 31908 + }, + { + "epoch": 0.94, + "learning_rate": 1.0224836862386511e-07, + "loss": 0.8006, + "step": 31909 + }, + { + "epoch": 0.94, + "learning_rate": 1.0215266656559253e-07, + "loss": 0.6871, + "step": 31910 + }, + { + "epoch": 0.94, + "learning_rate": 1.0205700885348558e-07, + "loss": 0.5882, + "step": 31911 + }, + { + "epoch": 0.94, + "learning_rate": 1.0196139548841078e-07, + "loss": 0.8768, + "step": 31912 + }, + { + "epoch": 0.94, + "learning_rate": 1.0186582647123356e-07, + "loss": 0.646, + "step": 31913 + }, + { + "epoch": 0.94, + "learning_rate": 1.0177030180281932e-07, + "loss": 0.5869, + "step": 31914 + }, + { + "epoch": 0.94, + "learning_rate": 1.0167482148403296e-07, + "loss": 0.5465, + "step": 31915 + }, + { + "epoch": 0.94, + "learning_rate": 1.0157938551573875e-07, + "loss": 0.8736, + "step": 31916 + }, + { + "epoch": 0.94, + "learning_rate": 1.0148399389880103e-07, + "loss": 0.6052, + "step": 31917 + }, + { + "epoch": 0.94, + "learning_rate": 1.013886466340841e-07, + "loss": 0.9696, + "step": 31918 + }, + { + "epoch": 0.94, + "learning_rate": 1.0129334372245059e-07, + "loss": 0.6373, + "step": 31919 + }, + { + "epoch": 0.94, + "learning_rate": 1.0119808516476315e-07, + "loss": 0.7459, + "step": 31920 + }, + { + "epoch": 0.94, + "learning_rate": 1.0110287096188498e-07, + "loss": 0.811, + "step": 31921 + }, + { + "epoch": 0.94, + "learning_rate": 1.0100770111467761e-07, + "loss": 0.7661, + "step": 31922 + }, + { + "epoch": 0.94, + "learning_rate": 1.0091257562400259e-07, + "loss": 0.9624, + "step": 31923 + }, + { + "epoch": 0.94, + "learning_rate": 1.0081749449072197e-07, + "loss": 0.8582, + "step": 31924 + }, + { + "epoch": 0.94, + "learning_rate": 1.0072245771569567e-07, + "loss": 0.6729, + "step": 31925 + }, + { + "epoch": 0.94, + "learning_rate": 1.0062746529978462e-07, + "loss": 0.5987, + "step": 31926 + }, + { + "epoch": 0.94, + "learning_rate": 1.0053251724384983e-07, + "loss": 0.6166, + "step": 31927 + }, + { + "epoch": 0.94, + "learning_rate": 1.0043761354874948e-07, + "loss": 0.6183, + "step": 31928 + }, + { + "epoch": 0.94, + "learning_rate": 1.0034275421534346e-07, + "loss": 0.7661, + "step": 31929 + }, + { + "epoch": 0.94, + "learning_rate": 1.002479392444905e-07, + "loss": 0.5884, + "step": 31930 + }, + { + "epoch": 0.94, + "learning_rate": 1.0015316863704993e-07, + "loss": 0.5583, + "step": 31931 + }, + { + "epoch": 0.94, + "learning_rate": 1.0005844239387885e-07, + "loss": 0.7979, + "step": 31932 + }, + { + "epoch": 0.94, + "learning_rate": 9.99637605158349e-08, + "loss": 0.6526, + "step": 31933 + }, + { + "epoch": 0.94, + "learning_rate": 9.986912300377572e-08, + "loss": 0.7487, + "step": 31934 + }, + { + "epoch": 0.94, + "learning_rate": 9.977452985855895e-08, + "loss": 0.6335, + "step": 31935 + }, + { + "epoch": 0.94, + "learning_rate": 9.967998108103894e-08, + "loss": 0.726, + "step": 31936 + }, + { + "epoch": 0.94, + "learning_rate": 9.958547667207385e-08, + "loss": 0.7518, + "step": 31937 + }, + { + "epoch": 0.94, + "learning_rate": 9.949101663251803e-08, + "loss": 0.6296, + "step": 31938 + }, + { + "epoch": 0.94, + "learning_rate": 9.9396600963228e-08, + "loss": 0.6675, + "step": 31939 + }, + { + "epoch": 0.94, + "learning_rate": 9.930222966505698e-08, + "loss": 0.4627, + "step": 31940 + }, + { + "epoch": 0.94, + "learning_rate": 9.920790273886149e-08, + "loss": 0.6779, + "step": 31941 + }, + { + "epoch": 0.94, + "learning_rate": 9.911362018549309e-08, + "loss": 0.8435, + "step": 31942 + }, + { + "epoch": 0.94, + "learning_rate": 9.901938200580774e-08, + "loss": 1.0369, + "step": 31943 + }, + { + "epoch": 0.94, + "learning_rate": 9.892518820065755e-08, + "loss": 0.7066, + "step": 31944 + }, + { + "epoch": 0.94, + "learning_rate": 9.883103877089517e-08, + "loss": 0.9145, + "step": 31945 + }, + { + "epoch": 0.94, + "learning_rate": 9.87369337173738e-08, + "loss": 0.6626, + "step": 31946 + }, + { + "epoch": 0.94, + "learning_rate": 9.8642873040945e-08, + "loss": 0.7163, + "step": 31947 + }, + { + "epoch": 0.94, + "learning_rate": 9.854885674246028e-08, + "loss": 0.9891, + "step": 31948 + }, + { + "epoch": 0.94, + "learning_rate": 9.845488482277122e-08, + "loss": 0.734, + "step": 31949 + }, + { + "epoch": 0.94, + "learning_rate": 9.836095728272876e-08, + "loss": 0.3192, + "step": 31950 + }, + { + "epoch": 0.94, + "learning_rate": 9.826707412318337e-08, + "loss": 0.9771, + "step": 31951 + }, + { + "epoch": 0.94, + "learning_rate": 9.817323534498435e-08, + "loss": 0.6043, + "step": 31952 + }, + { + "epoch": 0.94, + "learning_rate": 9.807944094898215e-08, + "loss": 0.8073, + "step": 31953 + }, + { + "epoch": 0.94, + "learning_rate": 9.79856909360255e-08, + "loss": 0.6314, + "step": 31954 + }, + { + "epoch": 0.94, + "learning_rate": 9.78919853069632e-08, + "loss": 0.8622, + "step": 31955 + }, + { + "epoch": 0.94, + "learning_rate": 9.779832406264456e-08, + "loss": 0.6543, + "step": 31956 + }, + { + "epoch": 0.94, + "learning_rate": 9.770470720391611e-08, + "loss": 0.4448, + "step": 31957 + }, + { + "epoch": 0.94, + "learning_rate": 9.76111347316272e-08, + "loss": 0.7264, + "step": 31958 + }, + { + "epoch": 0.94, + "learning_rate": 9.75176066466238e-08, + "loss": 0.7649, + "step": 31959 + }, + { + "epoch": 0.94, + "learning_rate": 9.742412294975356e-08, + "loss": 0.5187, + "step": 31960 + }, + { + "epoch": 0.94, + "learning_rate": 9.733068364186193e-08, + "loss": 0.5946, + "step": 31961 + }, + { + "epoch": 0.94, + "learning_rate": 9.7237288723796e-08, + "loss": 0.6386, + "step": 31962 + }, + { + "epoch": 0.94, + "learning_rate": 9.714393819640011e-08, + "loss": 0.9518, + "step": 31963 + }, + { + "epoch": 0.94, + "learning_rate": 9.705063206052078e-08, + "loss": 0.8781, + "step": 31964 + }, + { + "epoch": 0.94, + "learning_rate": 9.695737031700236e-08, + "loss": 0.8631, + "step": 31965 + }, + { + "epoch": 0.94, + "learning_rate": 9.68641529666886e-08, + "loss": 0.7798, + "step": 31966 + }, + { + "epoch": 0.94, + "learning_rate": 9.67709800104244e-08, + "loss": 0.5221, + "step": 31967 + }, + { + "epoch": 0.94, + "learning_rate": 9.667785144905294e-08, + "loss": 0.7878, + "step": 31968 + }, + { + "epoch": 0.94, + "learning_rate": 9.658476728341803e-08, + "loss": 0.7542, + "step": 31969 + }, + { + "epoch": 0.94, + "learning_rate": 9.64917275143612e-08, + "loss": 0.6972, + "step": 31970 + }, + { + "epoch": 0.94, + "learning_rate": 9.639873214272621e-08, + "loss": 0.7629, + "step": 31971 + }, + { + "epoch": 0.94, + "learning_rate": 9.630578116935408e-08, + "loss": 0.7958, + "step": 31972 + }, + { + "epoch": 0.94, + "learning_rate": 9.621287459508744e-08, + "loss": 0.7479, + "step": 31973 + }, + { + "epoch": 0.94, + "learning_rate": 9.612001242076619e-08, + "loss": 0.5626, + "step": 31974 + }, + { + "epoch": 0.94, + "learning_rate": 9.602719464723131e-08, + "loss": 1.0017, + "step": 31975 + }, + { + "epoch": 0.94, + "learning_rate": 9.593442127532438e-08, + "loss": 0.6119, + "step": 31976 + }, + { + "epoch": 0.94, + "learning_rate": 9.58416923058847e-08, + "loss": 0.597, + "step": 31977 + }, + { + "epoch": 0.94, + "learning_rate": 9.57490077397516e-08, + "loss": 0.7106, + "step": 31978 + }, + { + "epoch": 0.94, + "learning_rate": 9.565636757776497e-08, + "loss": 0.747, + "step": 31979 + }, + { + "epoch": 0.94, + "learning_rate": 9.556377182076304e-08, + "loss": 0.7385, + "step": 31980 + }, + { + "epoch": 0.94, + "learning_rate": 9.547122046958401e-08, + "loss": 0.499, + "step": 31981 + }, + { + "epoch": 0.94, + "learning_rate": 9.537871352506612e-08, + "loss": 0.5907, + "step": 31982 + }, + { + "epoch": 0.94, + "learning_rate": 9.5286250988047e-08, + "loss": 0.6879, + "step": 31983 + }, + { + "epoch": 0.94, + "learning_rate": 9.519383285936379e-08, + "loss": 0.6008, + "step": 31984 + }, + { + "epoch": 0.94, + "learning_rate": 9.510145913985302e-08, + "loss": 0.7089, + "step": 31985 + }, + { + "epoch": 0.94, + "learning_rate": 9.500912983035182e-08, + "loss": 0.7329, + "step": 31986 + }, + { + "epoch": 0.94, + "learning_rate": 9.491684493169506e-08, + "loss": 0.6422, + "step": 31987 + }, + { + "epoch": 0.94, + "learning_rate": 9.48246044447193e-08, + "loss": 0.629, + "step": 31988 + }, + { + "epoch": 0.94, + "learning_rate": 9.473240837025944e-08, + "loss": 0.7469, + "step": 31989 + }, + { + "epoch": 0.94, + "learning_rate": 9.464025670914978e-08, + "loss": 0.7702, + "step": 31990 + }, + { + "epoch": 0.94, + "learning_rate": 9.454814946222468e-08, + "loss": 0.6726, + "step": 31991 + }, + { + "epoch": 0.94, + "learning_rate": 9.445608663031901e-08, + "loss": 0.9729, + "step": 31992 + }, + { + "epoch": 0.94, + "learning_rate": 9.436406821426547e-08, + "loss": 0.9229, + "step": 31993 + }, + { + "epoch": 0.94, + "learning_rate": 9.42720942148978e-08, + "loss": 0.6378, + "step": 31994 + }, + { + "epoch": 0.94, + "learning_rate": 9.418016463304758e-08, + "loss": 0.761, + "step": 31995 + }, + { + "epoch": 0.94, + "learning_rate": 9.408827946954857e-08, + "loss": 0.8233, + "step": 31996 + }, + { + "epoch": 0.94, + "learning_rate": 9.399643872523178e-08, + "loss": 0.6789, + "step": 31997 + }, + { + "epoch": 0.94, + "learning_rate": 9.39046424009299e-08, + "loss": 0.9514, + "step": 31998 + }, + { + "epoch": 0.94, + "learning_rate": 9.381289049747278e-08, + "loss": 0.7508, + "step": 31999 + }, + { + "epoch": 0.94, + "learning_rate": 9.3721183015692e-08, + "loss": 0.8716, + "step": 32000 + }, + { + "epoch": 0.94, + "learning_rate": 9.362951995641689e-08, + "loss": 0.7136, + "step": 32001 + }, + { + "epoch": 0.94, + "learning_rate": 9.353790132047902e-08, + "loss": 0.6195, + "step": 32002 + }, + { + "epoch": 0.94, + "learning_rate": 9.344632710870605e-08, + "loss": 0.9081, + "step": 32003 + }, + { + "epoch": 0.94, + "learning_rate": 9.335479732192898e-08, + "loss": 0.6636, + "step": 32004 + }, + { + "epoch": 0.94, + "learning_rate": 9.326331196097493e-08, + "loss": 0.7577, + "step": 32005 + }, + { + "epoch": 0.94, + "learning_rate": 9.317187102667269e-08, + "loss": 0.4635, + "step": 32006 + }, + { + "epoch": 0.94, + "learning_rate": 9.308047451985102e-08, + "loss": 0.6304, + "step": 32007 + }, + { + "epoch": 0.94, + "learning_rate": 9.29891224413365e-08, + "loss": 0.8738, + "step": 32008 + }, + { + "epoch": 0.94, + "learning_rate": 9.28978147919568e-08, + "loss": 0.6993, + "step": 32009 + }, + { + "epoch": 0.94, + "learning_rate": 9.280655157253848e-08, + "loss": 0.7052, + "step": 32010 + }, + { + "epoch": 0.94, + "learning_rate": 9.271533278390755e-08, + "loss": 0.7858, + "step": 32011 + }, + { + "epoch": 0.94, + "learning_rate": 9.262415842688998e-08, + "loss": 0.6729, + "step": 32012 + }, + { + "epoch": 0.94, + "learning_rate": 9.253302850231238e-08, + "loss": 0.6206, + "step": 32013 + }, + { + "epoch": 0.94, + "learning_rate": 9.24419430109974e-08, + "loss": 0.5913, + "step": 32014 + }, + { + "epoch": 0.94, + "learning_rate": 9.235090195377272e-08, + "loss": 0.4888, + "step": 32015 + }, + { + "epoch": 0.94, + "learning_rate": 9.225990533146045e-08, + "loss": 0.475, + "step": 32016 + }, + { + "epoch": 0.94, + "learning_rate": 9.21689531448855e-08, + "loss": 0.7708, + "step": 32017 + }, + { + "epoch": 0.94, + "learning_rate": 9.207804539487108e-08, + "loss": 0.693, + "step": 32018 + }, + { + "epoch": 0.94, + "learning_rate": 9.1987182082241e-08, + "loss": 0.8518, + "step": 32019 + }, + { + "epoch": 0.94, + "learning_rate": 9.189636320781625e-08, + "loss": 0.7402, + "step": 32020 + }, + { + "epoch": 0.94, + "learning_rate": 9.180558877242119e-08, + "loss": 0.6577, + "step": 32021 + }, + { + "epoch": 0.94, + "learning_rate": 9.17148587768757e-08, + "loss": 0.6616, + "step": 32022 + }, + { + "epoch": 0.94, + "learning_rate": 9.162417322200301e-08, + "loss": 0.6499, + "step": 32023 + }, + { + "epoch": 0.94, + "learning_rate": 9.153353210862303e-08, + "loss": 0.8037, + "step": 32024 + }, + { + "epoch": 0.94, + "learning_rate": 9.144293543755678e-08, + "loss": 0.9447, + "step": 32025 + }, + { + "epoch": 0.94, + "learning_rate": 9.135238320962525e-08, + "loss": 0.5198, + "step": 32026 + }, + { + "epoch": 0.94, + "learning_rate": 9.126187542564723e-08, + "loss": 0.9032, + "step": 32027 + }, + { + "epoch": 0.94, + "learning_rate": 9.11714120864432e-08, + "loss": 0.7861, + "step": 32028 + }, + { + "epoch": 0.94, + "learning_rate": 9.108099319283082e-08, + "loss": 0.68, + "step": 32029 + }, + { + "epoch": 0.94, + "learning_rate": 9.099061874563053e-08, + "loss": 0.5447, + "step": 32030 + }, + { + "epoch": 0.94, + "learning_rate": 9.090028874565893e-08, + "loss": 0.6759, + "step": 32031 + }, + { + "epoch": 0.94, + "learning_rate": 9.081000319373534e-08, + "loss": 0.7202, + "step": 32032 + }, + { + "epoch": 0.94, + "learning_rate": 9.071976209067635e-08, + "loss": 0.7551, + "step": 32033 + }, + { + "epoch": 0.94, + "learning_rate": 9.062956543729906e-08, + "loss": 0.5375, + "step": 32034 + }, + { + "epoch": 0.94, + "learning_rate": 9.053941323442006e-08, + "loss": 0.5089, + "step": 32035 + }, + { + "epoch": 0.94, + "learning_rate": 9.044930548285646e-08, + "loss": 0.4553, + "step": 32036 + }, + { + "epoch": 0.94, + "learning_rate": 9.035924218342318e-08, + "loss": 0.6604, + "step": 32037 + }, + { + "epoch": 0.94, + "learning_rate": 9.026922333693622e-08, + "loss": 0.7118, + "step": 32038 + }, + { + "epoch": 0.94, + "learning_rate": 9.017924894420993e-08, + "loss": 0.6581, + "step": 32039 + }, + { + "epoch": 0.94, + "learning_rate": 9.008931900606032e-08, + "loss": 0.7728, + "step": 32040 + }, + { + "epoch": 0.94, + "learning_rate": 8.999943352329954e-08, + "loss": 0.8351, + "step": 32041 + }, + { + "epoch": 0.94, + "learning_rate": 8.990959249674358e-08, + "loss": 0.8136, + "step": 32042 + }, + { + "epoch": 0.94, + "learning_rate": 8.981979592720458e-08, + "loss": 0.5019, + "step": 32043 + }, + { + "epoch": 0.94, + "learning_rate": 8.973004381549577e-08, + "loss": 0.7624, + "step": 32044 + }, + { + "epoch": 0.94, + "learning_rate": 8.964033616243096e-08, + "loss": 0.6435, + "step": 32045 + }, + { + "epoch": 0.94, + "learning_rate": 8.955067296882003e-08, + "loss": 0.641, + "step": 32046 + }, + { + "epoch": 0.94, + "learning_rate": 8.946105423547735e-08, + "loss": 0.8742, + "step": 32047 + }, + { + "epoch": 0.94, + "learning_rate": 8.937147996321227e-08, + "loss": 0.7372, + "step": 32048 + }, + { + "epoch": 0.94, + "learning_rate": 8.928195015283747e-08, + "loss": 0.8648, + "step": 32049 + }, + { + "epoch": 0.94, + "learning_rate": 8.919246480516231e-08, + "loss": 0.8984, + "step": 32050 + }, + { + "epoch": 0.94, + "learning_rate": 8.910302392099779e-08, + "loss": 0.6368, + "step": 32051 + }, + { + "epoch": 0.94, + "learning_rate": 8.901362750115272e-08, + "loss": 0.8629, + "step": 32052 + }, + { + "epoch": 0.94, + "learning_rate": 8.892427554643812e-08, + "loss": 0.7799, + "step": 32053 + }, + { + "epoch": 0.94, + "learning_rate": 8.883496805766112e-08, + "loss": 0.6138, + "step": 32054 + }, + { + "epoch": 0.94, + "learning_rate": 8.874570503563218e-08, + "loss": 0.7608, + "step": 32055 + }, + { + "epoch": 0.94, + "learning_rate": 8.865648648115787e-08, + "loss": 0.8376, + "step": 32056 + }, + { + "epoch": 0.94, + "learning_rate": 8.856731239504757e-08, + "loss": 0.7494, + "step": 32057 + }, + { + "epoch": 0.94, + "learning_rate": 8.847818277810783e-08, + "loss": 0.7258, + "step": 32058 + }, + { + "epoch": 0.94, + "learning_rate": 8.838909763114579e-08, + "loss": 0.8151, + "step": 32059 + }, + { + "epoch": 0.94, + "learning_rate": 8.830005695496747e-08, + "loss": 0.7915, + "step": 32060 + }, + { + "epoch": 0.94, + "learning_rate": 8.821106075037999e-08, + "loss": 0.7794, + "step": 32061 + }, + { + "epoch": 0.94, + "learning_rate": 8.81221090181883e-08, + "loss": 0.5649, + "step": 32062 + }, + { + "epoch": 0.94, + "learning_rate": 8.803320175919839e-08, + "loss": 0.6484, + "step": 32063 + }, + { + "epoch": 0.94, + "learning_rate": 8.794433897421517e-08, + "loss": 0.9094, + "step": 32064 + }, + { + "epoch": 0.94, + "learning_rate": 8.785552066404246e-08, + "loss": 1.0164, + "step": 32065 + }, + { + "epoch": 0.94, + "learning_rate": 8.776674682948628e-08, + "loss": 0.7754, + "step": 32066 + }, + { + "epoch": 0.94, + "learning_rate": 8.767801747134818e-08, + "loss": 0.7045, + "step": 32067 + }, + { + "epoch": 0.94, + "learning_rate": 8.758933259043312e-08, + "loss": 0.7677, + "step": 32068 + }, + { + "epoch": 0.94, + "learning_rate": 8.75006921875432e-08, + "loss": 0.772, + "step": 32069 + }, + { + "epoch": 0.94, + "learning_rate": 8.741209626348169e-08, + "loss": 0.9439, + "step": 32070 + }, + { + "epoch": 0.94, + "learning_rate": 8.73235448190496e-08, + "loss": 0.4803, + "step": 32071 + }, + { + "epoch": 0.94, + "learning_rate": 8.723503785505072e-08, + "loss": 0.8232, + "step": 32072 + }, + { + "epoch": 0.94, + "learning_rate": 8.714657537228333e-08, + "loss": 0.6248, + "step": 32073 + }, + { + "epoch": 0.94, + "learning_rate": 8.705815737155177e-08, + "loss": 0.6405, + "step": 32074 + }, + { + "epoch": 0.94, + "learning_rate": 8.69697838536543e-08, + "loss": 0.8022, + "step": 32075 + }, + { + "epoch": 0.94, + "learning_rate": 8.688145481939248e-08, + "loss": 0.7261, + "step": 32076 + }, + { + "epoch": 0.94, + "learning_rate": 8.679317026956513e-08, + "loss": 0.8226, + "step": 32077 + }, + { + "epoch": 0.94, + "learning_rate": 8.670493020497162e-08, + "loss": 0.65, + "step": 32078 + }, + { + "epoch": 0.94, + "learning_rate": 8.661673462641129e-08, + "loss": 0.6456, + "step": 32079 + }, + { + "epoch": 0.94, + "learning_rate": 8.652858353468296e-08, + "loss": 0.6432, + "step": 32080 + }, + { + "epoch": 0.94, + "learning_rate": 8.644047693058322e-08, + "loss": 0.654, + "step": 32081 + }, + { + "epoch": 0.94, + "learning_rate": 8.635241481491197e-08, + "loss": 0.5358, + "step": 32082 + }, + { + "epoch": 0.94, + "learning_rate": 8.626439718846525e-08, + "loss": 0.7185, + "step": 32083 + }, + { + "epoch": 0.94, + "learning_rate": 8.617642405203963e-08, + "loss": 0.5576, + "step": 32084 + }, + { + "epoch": 0.94, + "learning_rate": 8.608849540643339e-08, + "loss": 0.6501, + "step": 32085 + }, + { + "epoch": 0.94, + "learning_rate": 8.60006112524403e-08, + "loss": 0.7044, + "step": 32086 + }, + { + "epoch": 0.94, + "learning_rate": 8.591277159085809e-08, + "loss": 0.7846, + "step": 32087 + }, + { + "epoch": 0.94, + "learning_rate": 8.582497642248112e-08, + "loss": 0.551, + "step": 32088 + }, + { + "epoch": 0.94, + "learning_rate": 8.573722574810428e-08, + "loss": 0.8506, + "step": 32089 + }, + { + "epoch": 0.94, + "learning_rate": 8.564951956852252e-08, + "loss": 0.518, + "step": 32090 + }, + { + "epoch": 0.94, + "learning_rate": 8.556185788452965e-08, + "loss": 0.7776, + "step": 32091 + }, + { + "epoch": 0.94, + "learning_rate": 8.547424069691945e-08, + "loss": 1.0896, + "step": 32092 + }, + { + "epoch": 0.94, + "learning_rate": 8.538666800648465e-08, + "loss": 0.7116, + "step": 32093 + }, + { + "epoch": 0.94, + "learning_rate": 8.529913981401905e-08, + "loss": 0.6328, + "step": 32094 + }, + { + "epoch": 0.94, + "learning_rate": 8.521165612031534e-08, + "loss": 0.4773, + "step": 32095 + }, + { + "epoch": 0.94, + "learning_rate": 8.512421692616457e-08, + "loss": 0.891, + "step": 32096 + }, + { + "epoch": 0.94, + "learning_rate": 8.503682223235943e-08, + "loss": 0.9635, + "step": 32097 + }, + { + "epoch": 0.94, + "learning_rate": 8.494947203968984e-08, + "loss": 0.4604, + "step": 32098 + }, + { + "epoch": 0.94, + "learning_rate": 8.48621663489485e-08, + "loss": 0.6822, + "step": 32099 + }, + { + "epoch": 0.94, + "learning_rate": 8.477490516092423e-08, + "loss": 0.855, + "step": 32100 + }, + { + "epoch": 0.94, + "learning_rate": 8.468768847640863e-08, + "loss": 0.7249, + "step": 32101 + }, + { + "epoch": 0.94, + "learning_rate": 8.460051629618992e-08, + "loss": 0.714, + "step": 32102 + }, + { + "epoch": 0.94, + "learning_rate": 8.451338862105807e-08, + "loss": 0.8534, + "step": 32103 + }, + { + "epoch": 0.94, + "learning_rate": 8.442630545180241e-08, + "loss": 0.8137, + "step": 32104 + }, + { + "epoch": 0.94, + "learning_rate": 8.433926678921068e-08, + "loss": 0.8284, + "step": 32105 + }, + { + "epoch": 0.94, + "learning_rate": 8.425227263407166e-08, + "loss": 0.8945, + "step": 32106 + }, + { + "epoch": 0.94, + "learning_rate": 8.416532298717194e-08, + "loss": 0.7353, + "step": 32107 + }, + { + "epoch": 0.94, + "learning_rate": 8.407841784929982e-08, + "loss": 0.6335, + "step": 32108 + }, + { + "epoch": 0.94, + "learning_rate": 8.399155722124131e-08, + "loss": 0.7111, + "step": 32109 + }, + { + "epoch": 0.94, + "learning_rate": 8.390474110378355e-08, + "loss": 0.7603, + "step": 32110 + }, + { + "epoch": 0.94, + "learning_rate": 8.381796949771204e-08, + "loss": 0.5874, + "step": 32111 + }, + { + "epoch": 0.94, + "learning_rate": 8.373124240381336e-08, + "loss": 0.4951, + "step": 32112 + }, + { + "epoch": 0.94, + "learning_rate": 8.364455982287078e-08, + "loss": 0.7631, + "step": 32113 + }, + { + "epoch": 0.94, + "learning_rate": 8.355792175567202e-08, + "loss": 0.867, + "step": 32114 + }, + { + "epoch": 0.94, + "learning_rate": 8.34713282029992e-08, + "loss": 0.6423, + "step": 32115 + }, + { + "epoch": 0.94, + "learning_rate": 8.338477916563725e-08, + "loss": 0.7231, + "step": 32116 + }, + { + "epoch": 0.94, + "learning_rate": 8.329827464437002e-08, + "loss": 0.8794, + "step": 32117 + }, + { + "epoch": 0.94, + "learning_rate": 8.321181463998018e-08, + "loss": 0.807, + "step": 32118 + }, + { + "epoch": 0.94, + "learning_rate": 8.312539915325046e-08, + "loss": 0.9405, + "step": 32119 + }, + { + "epoch": 0.94, + "learning_rate": 8.303902818496413e-08, + "loss": 0.5681, + "step": 32120 + }, + { + "epoch": 0.94, + "learning_rate": 8.29527017359022e-08, + "loss": 0.6747, + "step": 32121 + }, + { + "epoch": 0.94, + "learning_rate": 8.28664198068474e-08, + "loss": 0.7026, + "step": 32122 + }, + { + "epoch": 0.94, + "learning_rate": 8.278018239857965e-08, + "loss": 0.6308, + "step": 32123 + }, + { + "epoch": 0.94, + "learning_rate": 8.269398951188112e-08, + "loss": 0.8346, + "step": 32124 + }, + { + "epoch": 0.94, + "learning_rate": 8.260784114753063e-08, + "loss": 0.9251, + "step": 32125 + }, + { + "epoch": 0.94, + "learning_rate": 8.25217373063103e-08, + "loss": 0.9491, + "step": 32126 + }, + { + "epoch": 0.94, + "learning_rate": 8.243567798899787e-08, + "loss": 0.5157, + "step": 32127 + }, + { + "epoch": 0.94, + "learning_rate": 8.234966319637327e-08, + "loss": 0.6345, + "step": 32128 + }, + { + "epoch": 0.94, + "learning_rate": 8.226369292921532e-08, + "loss": 0.4854, + "step": 32129 + }, + { + "epoch": 0.94, + "learning_rate": 8.217776718830228e-08, + "loss": 0.5814, + "step": 32130 + }, + { + "epoch": 0.94, + "learning_rate": 8.209188597441186e-08, + "loss": 0.7508, + "step": 32131 + }, + { + "epoch": 0.94, + "learning_rate": 8.200604928832234e-08, + "loss": 0.7536, + "step": 32132 + }, + { + "epoch": 0.94, + "learning_rate": 8.192025713081032e-08, + "loss": 0.7343, + "step": 32133 + }, + { + "epoch": 0.94, + "learning_rate": 8.183450950265238e-08, + "loss": 0.6936, + "step": 32134 + }, + { + "epoch": 0.94, + "learning_rate": 8.174880640462623e-08, + "loss": 0.8051, + "step": 32135 + }, + { + "epoch": 0.94, + "learning_rate": 8.166314783750629e-08, + "loss": 0.6708, + "step": 32136 + }, + { + "epoch": 0.94, + "learning_rate": 8.157753380206912e-08, + "loss": 0.6466, + "step": 32137 + }, + { + "epoch": 0.94, + "learning_rate": 8.149196429908912e-08, + "loss": 0.7606, + "step": 32138 + }, + { + "epoch": 0.94, + "learning_rate": 8.140643932934233e-08, + "loss": 0.6394, + "step": 32139 + }, + { + "epoch": 0.94, + "learning_rate": 8.132095889360148e-08, + "loss": 0.5861, + "step": 32140 + }, + { + "epoch": 0.94, + "learning_rate": 8.123552299264148e-08, + "loss": 0.5891, + "step": 32141 + }, + { + "epoch": 0.94, + "learning_rate": 8.115013162723506e-08, + "loss": 0.7906, + "step": 32142 + }, + { + "epoch": 0.94, + "learning_rate": 8.106478479815661e-08, + "loss": 0.9473, + "step": 32143 + }, + { + "epoch": 0.94, + "learning_rate": 8.097948250617826e-08, + "loss": 0.5127, + "step": 32144 + }, + { + "epoch": 0.94, + "learning_rate": 8.089422475207276e-08, + "loss": 0.6682, + "step": 32145 + }, + { + "epoch": 0.94, + "learning_rate": 8.080901153661114e-08, + "loss": 0.5073, + "step": 32146 + }, + { + "epoch": 0.94, + "learning_rate": 8.072384286056611e-08, + "loss": 0.7409, + "step": 32147 + }, + { + "epoch": 0.94, + "learning_rate": 8.063871872470708e-08, + "loss": 0.4769, + "step": 32148 + }, + { + "epoch": 0.94, + "learning_rate": 8.055363912980674e-08, + "loss": 0.584, + "step": 32149 + }, + { + "epoch": 0.94, + "learning_rate": 8.046860407663448e-08, + "loss": 0.7096, + "step": 32150 + }, + { + "epoch": 0.94, + "learning_rate": 8.038361356596024e-08, + "loss": 0.76, + "step": 32151 + }, + { + "epoch": 0.94, + "learning_rate": 8.029866759855343e-08, + "loss": 0.688, + "step": 32152 + }, + { + "epoch": 0.94, + "learning_rate": 8.021376617518284e-08, + "loss": 0.6412, + "step": 32153 + }, + { + "epoch": 0.94, + "learning_rate": 8.012890929661843e-08, + "loss": 0.578, + "step": 32154 + }, + { + "epoch": 0.94, + "learning_rate": 8.004409696362737e-08, + "loss": 0.9536, + "step": 32155 + }, + { + "epoch": 0.94, + "learning_rate": 7.995932917697847e-08, + "loss": 0.5103, + "step": 32156 + }, + { + "epoch": 0.94, + "learning_rate": 7.987460593743834e-08, + "loss": 0.8383, + "step": 32157 + }, + { + "epoch": 0.94, + "learning_rate": 7.978992724577472e-08, + "loss": 0.7629, + "step": 32158 + }, + { + "epoch": 0.94, + "learning_rate": 7.970529310275366e-08, + "loss": 0.6783, + "step": 32159 + }, + { + "epoch": 0.94, + "learning_rate": 7.962070350914231e-08, + "loss": 0.5363, + "step": 32160 + }, + { + "epoch": 0.94, + "learning_rate": 7.953615846570562e-08, + "loss": 0.8131, + "step": 32161 + }, + { + "epoch": 0.94, + "learning_rate": 7.945165797320964e-08, + "loss": 0.6432, + "step": 32162 + }, + { + "epoch": 0.94, + "learning_rate": 7.936720203241932e-08, + "loss": 0.5586, + "step": 32163 + }, + { + "epoch": 0.94, + "learning_rate": 7.92827906440996e-08, + "loss": 0.6393, + "step": 32164 + }, + { + "epoch": 0.94, + "learning_rate": 7.919842380901488e-08, + "loss": 0.9301, + "step": 32165 + }, + { + "epoch": 0.94, + "learning_rate": 7.911410152792842e-08, + "loss": 0.9516, + "step": 32166 + }, + { + "epoch": 0.95, + "learning_rate": 7.90298238016035e-08, + "loss": 0.7727, + "step": 32167 + }, + { + "epoch": 0.95, + "learning_rate": 7.894559063080454e-08, + "loss": 0.9532, + "step": 32168 + }, + { + "epoch": 0.95, + "learning_rate": 7.886140201629311e-08, + "loss": 0.8047, + "step": 32169 + }, + { + "epoch": 0.95, + "learning_rate": 7.87772579588314e-08, + "loss": 0.6195, + "step": 32170 + }, + { + "epoch": 0.95, + "learning_rate": 7.869315845918157e-08, + "loss": 0.7713, + "step": 32171 + }, + { + "epoch": 0.95, + "learning_rate": 7.860910351810524e-08, + "loss": 0.6187, + "step": 32172 + }, + { + "epoch": 0.95, + "learning_rate": 7.852509313636347e-08, + "loss": 0.4454, + "step": 32173 + }, + { + "epoch": 0.95, + "learning_rate": 7.844112731471621e-08, + "loss": 0.6997, + "step": 32174 + }, + { + "epoch": 0.95, + "learning_rate": 7.835720605392505e-08, + "loss": 0.6297, + "step": 32175 + }, + { + "epoch": 0.95, + "learning_rate": 7.82733293547483e-08, + "loss": 0.4145, + "step": 32176 + }, + { + "epoch": 0.95, + "learning_rate": 7.818949721794644e-08, + "loss": 0.7047, + "step": 32177 + }, + { + "epoch": 0.95, + "learning_rate": 7.810570964427777e-08, + "loss": 0.5883, + "step": 32178 + }, + { + "epoch": 0.95, + "learning_rate": 7.802196663450223e-08, + "loss": 0.8677, + "step": 32179 + }, + { + "epoch": 0.95, + "learning_rate": 7.793826818937645e-08, + "loss": 0.689, + "step": 32180 + }, + { + "epoch": 0.95, + "learning_rate": 7.785461430965924e-08, + "loss": 0.8183, + "step": 32181 + }, + { + "epoch": 0.95, + "learning_rate": 7.777100499610669e-08, + "loss": 0.6829, + "step": 32182 + }, + { + "epoch": 0.95, + "learning_rate": 7.768744024947817e-08, + "loss": 0.8457, + "step": 32183 + }, + { + "epoch": 0.95, + "learning_rate": 7.760392007052808e-08, + "loss": 0.6575, + "step": 32184 + }, + { + "epoch": 0.95, + "learning_rate": 7.752044446001416e-08, + "loss": 0.6653, + "step": 32185 + }, + { + "epoch": 0.95, + "learning_rate": 7.743701341869137e-08, + "loss": 0.8619, + "step": 32186 + }, + { + "epoch": 0.95, + "learning_rate": 7.735362694731574e-08, + "loss": 0.6331, + "step": 32187 + }, + { + "epoch": 0.95, + "learning_rate": 7.727028504664113e-08, + "loss": 0.781, + "step": 32188 + }, + { + "epoch": 0.95, + "learning_rate": 7.718698771742361e-08, + "loss": 0.5206, + "step": 32189 + }, + { + "epoch": 0.95, + "learning_rate": 7.71037349604159e-08, + "loss": 0.6617, + "step": 32190 + }, + { + "epoch": 0.95, + "learning_rate": 7.702052677637296e-08, + "loss": 0.7579, + "step": 32191 + }, + { + "epoch": 0.95, + "learning_rate": 7.69373631660475e-08, + "loss": 0.673, + "step": 32192 + }, + { + "epoch": 0.95, + "learning_rate": 7.685424413019282e-08, + "loss": 0.6919, + "step": 32193 + }, + { + "epoch": 0.95, + "learning_rate": 7.67711696695611e-08, + "loss": 0.7375, + "step": 32194 + }, + { + "epoch": 0.95, + "learning_rate": 7.668813978490509e-08, + "loss": 0.7628, + "step": 32195 + }, + { + "epoch": 0.95, + "learning_rate": 7.660515447697691e-08, + "loss": 1.0673, + "step": 32196 + }, + { + "epoch": 0.95, + "learning_rate": 7.652221374652602e-08, + "loss": 0.7005, + "step": 32197 + }, + { + "epoch": 0.95, + "learning_rate": 7.643931759430567e-08, + "loss": 0.5407, + "step": 32198 + }, + { + "epoch": 0.95, + "learning_rate": 7.635646602106528e-08, + "loss": 0.572, + "step": 32199 + }, + { + "epoch": 0.95, + "learning_rate": 7.62736590275548e-08, + "loss": 0.5578, + "step": 32200 + }, + { + "epoch": 0.95, + "learning_rate": 7.619089661452472e-08, + "loss": 0.74, + "step": 32201 + }, + { + "epoch": 0.95, + "learning_rate": 7.610817878272337e-08, + "loss": 0.8048, + "step": 32202 + }, + { + "epoch": 0.95, + "learning_rate": 7.602550553290067e-08, + "loss": 0.9332, + "step": 32203 + }, + { + "epoch": 0.95, + "learning_rate": 7.594287686580493e-08, + "loss": 0.8134, + "step": 32204 + }, + { + "epoch": 0.95, + "learning_rate": 7.586029278218387e-08, + "loss": 0.9875, + "step": 32205 + }, + { + "epoch": 0.95, + "learning_rate": 7.577775328278637e-08, + "loss": 0.5457, + "step": 32206 + }, + { + "epoch": 0.95, + "learning_rate": 7.56952583683579e-08, + "loss": 0.7945, + "step": 32207 + }, + { + "epoch": 0.95, + "learning_rate": 7.561280803964732e-08, + "loss": 0.8149, + "step": 32208 + }, + { + "epoch": 0.95, + "learning_rate": 7.553040229739906e-08, + "loss": 0.8002, + "step": 32209 + }, + { + "epoch": 0.95, + "learning_rate": 7.544804114236137e-08, + "loss": 0.7563, + "step": 32210 + }, + { + "epoch": 0.95, + "learning_rate": 7.536572457527868e-08, + "loss": 0.816, + "step": 32211 + }, + { + "epoch": 0.95, + "learning_rate": 7.52834525968965e-08, + "loss": 0.9835, + "step": 32212 + }, + { + "epoch": 0.95, + "learning_rate": 7.520122520796036e-08, + "loss": 0.648, + "step": 32213 + }, + { + "epoch": 0.95, + "learning_rate": 7.511904240921352e-08, + "loss": 0.9233, + "step": 32214 + }, + { + "epoch": 0.95, + "learning_rate": 7.503690420140153e-08, + "loss": 0.511, + "step": 32215 + }, + { + "epoch": 0.95, + "learning_rate": 7.49548105852671e-08, + "loss": 0.6394, + "step": 32216 + }, + { + "epoch": 0.95, + "learning_rate": 7.48727615615541e-08, + "loss": 0.808, + "step": 32217 + }, + { + "epoch": 0.95, + "learning_rate": 7.47907571310047e-08, + "loss": 0.8021, + "step": 32218 + }, + { + "epoch": 0.95, + "learning_rate": 7.47087972943622e-08, + "loss": 0.6045, + "step": 32219 + }, + { + "epoch": 0.95, + "learning_rate": 7.462688205236823e-08, + "loss": 0.7676, + "step": 32220 + }, + { + "epoch": 0.95, + "learning_rate": 7.454501140576386e-08, + "loss": 0.7193, + "step": 32221 + }, + { + "epoch": 0.95, + "learning_rate": 7.446318535529184e-08, + "loss": 0.6493, + "step": 32222 + }, + { + "epoch": 0.95, + "learning_rate": 7.438140390169213e-08, + "loss": 0.6387, + "step": 32223 + }, + { + "epoch": 0.95, + "learning_rate": 7.429966704570524e-08, + "loss": 0.8452, + "step": 32224 + }, + { + "epoch": 0.95, + "learning_rate": 7.421797478807114e-08, + "loss": 0.9942, + "step": 32225 + }, + { + "epoch": 0.95, + "learning_rate": 7.413632712952978e-08, + "loss": 0.5212, + "step": 32226 + }, + { + "epoch": 0.95, + "learning_rate": 7.40547240708206e-08, + "loss": 0.6498, + "step": 32227 + }, + { + "epoch": 0.95, + "learning_rate": 7.397316561268131e-08, + "loss": 0.6925, + "step": 32228 + }, + { + "epoch": 0.95, + "learning_rate": 7.389165175585189e-08, + "loss": 0.8767, + "step": 32229 + }, + { + "epoch": 0.95, + "learning_rate": 7.381018250106952e-08, + "loss": 0.7404, + "step": 32230 + }, + { + "epoch": 0.95, + "learning_rate": 7.372875784907196e-08, + "loss": 0.7887, + "step": 32231 + }, + { + "epoch": 0.95, + "learning_rate": 7.364737780059694e-08, + "loss": 0.8787, + "step": 32232 + }, + { + "epoch": 0.95, + "learning_rate": 7.356604235637999e-08, + "loss": 0.6346, + "step": 32233 + }, + { + "epoch": 0.95, + "learning_rate": 7.348475151715939e-08, + "loss": 0.5812, + "step": 32234 + }, + { + "epoch": 0.95, + "learning_rate": 7.340350528366902e-08, + "loss": 0.7614, + "step": 32235 + }, + { + "epoch": 0.95, + "learning_rate": 7.332230365664661e-08, + "loss": 0.9833, + "step": 32236 + }, + { + "epoch": 0.95, + "learning_rate": 7.324114663682603e-08, + "loss": 0.7936, + "step": 32237 + }, + { + "epoch": 0.95, + "learning_rate": 7.316003422494277e-08, + "loss": 0.5295, + "step": 32238 + }, + { + "epoch": 0.95, + "learning_rate": 7.307896642173018e-08, + "loss": 0.8096, + "step": 32239 + }, + { + "epoch": 0.95, + "learning_rate": 7.299794322792375e-08, + "loss": 0.3855, + "step": 32240 + }, + { + "epoch": 0.95, + "learning_rate": 7.291696464425569e-08, + "loss": 0.5828, + "step": 32241 + }, + { + "epoch": 0.95, + "learning_rate": 7.283603067146039e-08, + "loss": 0.7966, + "step": 32242 + }, + { + "epoch": 0.95, + "learning_rate": 7.275514131027006e-08, + "loss": 0.803, + "step": 32243 + }, + { + "epoch": 0.95, + "learning_rate": 7.267429656141744e-08, + "loss": 0.809, + "step": 32244 + }, + { + "epoch": 0.95, + "learning_rate": 7.259349642563363e-08, + "loss": 0.8903, + "step": 32245 + }, + { + "epoch": 0.95, + "learning_rate": 7.251274090365135e-08, + "loss": 0.904, + "step": 32246 + }, + { + "epoch": 0.95, + "learning_rate": 7.243202999620114e-08, + "loss": 0.6676, + "step": 32247 + }, + { + "epoch": 0.95, + "learning_rate": 7.235136370401407e-08, + "loss": 0.7346, + "step": 32248 + }, + { + "epoch": 0.95, + "learning_rate": 7.227074202781958e-08, + "loss": 0.6909, + "step": 32249 + }, + { + "epoch": 0.95, + "learning_rate": 7.219016496834929e-08, + "loss": 0.6216, + "step": 32250 + }, + { + "epoch": 0.95, + "learning_rate": 7.210963252633096e-08, + "loss": 0.6271, + "step": 32251 + }, + { + "epoch": 0.95, + "learning_rate": 7.202914470249511e-08, + "loss": 0.7913, + "step": 32252 + }, + { + "epoch": 0.95, + "learning_rate": 7.194870149757005e-08, + "loss": 0.9348, + "step": 32253 + }, + { + "epoch": 0.95, + "learning_rate": 7.186830291228352e-08, + "loss": 0.6355, + "step": 32254 + }, + { + "epoch": 0.95, + "learning_rate": 7.178794894736496e-08, + "loss": 0.5397, + "step": 32255 + }, + { + "epoch": 0.95, + "learning_rate": 7.170763960354043e-08, + "loss": 0.8339, + "step": 32256 + }, + { + "epoch": 0.95, + "learning_rate": 7.16273748815377e-08, + "loss": 0.9241, + "step": 32257 + }, + { + "epoch": 0.95, + "learning_rate": 7.15471547820834e-08, + "loss": 0.7485, + "step": 32258 + }, + { + "epoch": 0.95, + "learning_rate": 7.146697930590418e-08, + "loss": 0.5992, + "step": 32259 + }, + { + "epoch": 0.95, + "learning_rate": 7.138684845372557e-08, + "loss": 0.7843, + "step": 32260 + }, + { + "epoch": 0.95, + "learning_rate": 7.130676222627253e-08, + "loss": 0.5397, + "step": 32261 + }, + { + "epoch": 0.95, + "learning_rate": 7.122672062427172e-08, + "loss": 0.5756, + "step": 32262 + }, + { + "epoch": 0.95, + "learning_rate": 7.114672364844644e-08, + "loss": 0.6497, + "step": 32263 + }, + { + "epoch": 0.95, + "learning_rate": 7.106677129952166e-08, + "loss": 0.6217, + "step": 32264 + }, + { + "epoch": 0.95, + "learning_rate": 7.098686357822182e-08, + "loss": 0.6794, + "step": 32265 + }, + { + "epoch": 0.95, + "learning_rate": 7.090700048526911e-08, + "loss": 0.6111, + "step": 32266 + }, + { + "epoch": 0.95, + "learning_rate": 7.082718202138738e-08, + "loss": 0.7448, + "step": 32267 + }, + { + "epoch": 0.95, + "learning_rate": 7.074740818729942e-08, + "loss": 0.8427, + "step": 32268 + }, + { + "epoch": 0.95, + "learning_rate": 7.06676789837274e-08, + "loss": 0.7652, + "step": 32269 + }, + { + "epoch": 0.95, + "learning_rate": 7.058799441139297e-08, + "loss": 0.8052, + "step": 32270 + }, + { + "epoch": 0.95, + "learning_rate": 7.050835447101722e-08, + "loss": 0.8374, + "step": 32271 + }, + { + "epoch": 0.95, + "learning_rate": 7.042875916332292e-08, + "loss": 0.8226, + "step": 32272 + }, + { + "epoch": 0.95, + "learning_rate": 7.034920848902893e-08, + "loss": 0.3393, + "step": 32273 + }, + { + "epoch": 0.95, + "learning_rate": 7.026970244885634e-08, + "loss": 0.6287, + "step": 32274 + }, + { + "epoch": 0.95, + "learning_rate": 7.019024104352456e-08, + "loss": 0.7271, + "step": 32275 + }, + { + "epoch": 0.95, + "learning_rate": 7.011082427375415e-08, + "loss": 0.5786, + "step": 32276 + }, + { + "epoch": 0.95, + "learning_rate": 7.00314521402623e-08, + "loss": 0.9572, + "step": 32277 + }, + { + "epoch": 0.95, + "learning_rate": 6.995212464376955e-08, + "loss": 0.8999, + "step": 32278 + }, + { + "epoch": 0.95, + "learning_rate": 6.987284178499309e-08, + "loss": 0.7274, + "step": 32279 + }, + { + "epoch": 0.95, + "learning_rate": 6.97936035646507e-08, + "loss": 0.8547, + "step": 32280 + }, + { + "epoch": 0.95, + "learning_rate": 6.971440998346068e-08, + "loss": 0.5204, + "step": 32281 + }, + { + "epoch": 0.95, + "learning_rate": 6.963526104213913e-08, + "loss": 0.5611, + "step": 32282 + }, + { + "epoch": 0.95, + "learning_rate": 6.955615674140325e-08, + "loss": 0.7218, + "step": 32283 + }, + { + "epoch": 0.95, + "learning_rate": 6.947709708196915e-08, + "loss": 0.5518, + "step": 32284 + }, + { + "epoch": 0.95, + "learning_rate": 6.93980820645529e-08, + "loss": 0.7373, + "step": 32285 + }, + { + "epoch": 0.95, + "learning_rate": 6.931911168986893e-08, + "loss": 0.5302, + "step": 32286 + }, + { + "epoch": 0.95, + "learning_rate": 6.924018595863335e-08, + "loss": 0.4982, + "step": 32287 + }, + { + "epoch": 0.95, + "learning_rate": 6.916130487156058e-08, + "loss": 0.8466, + "step": 32288 + }, + { + "epoch": 0.95, + "learning_rate": 6.908246842936395e-08, + "loss": 0.8249, + "step": 32289 + }, + { + "epoch": 0.95, + "learning_rate": 6.900367663275842e-08, + "loss": 0.7708, + "step": 32290 + }, + { + "epoch": 0.95, + "learning_rate": 6.892492948245677e-08, + "loss": 0.5234, + "step": 32291 + }, + { + "epoch": 0.95, + "learning_rate": 6.884622697917176e-08, + "loss": 0.6248, + "step": 32292 + }, + { + "epoch": 0.95, + "learning_rate": 6.876756912361727e-08, + "loss": 0.7608, + "step": 32293 + }, + { + "epoch": 0.95, + "learning_rate": 6.868895591650382e-08, + "loss": 0.6858, + "step": 32294 + }, + { + "epoch": 0.95, + "learning_rate": 6.86103873585442e-08, + "loss": 0.6298, + "step": 32295 + }, + { + "epoch": 0.95, + "learning_rate": 6.853186345044893e-08, + "loss": 0.8981, + "step": 32296 + }, + { + "epoch": 0.95, + "learning_rate": 6.845338419293024e-08, + "loss": 0.6934, + "step": 32297 + }, + { + "epoch": 0.95, + "learning_rate": 6.837494958669755e-08, + "loss": 0.6348, + "step": 32298 + }, + { + "epoch": 0.95, + "learning_rate": 6.829655963246196e-08, + "loss": 0.4756, + "step": 32299 + }, + { + "epoch": 0.95, + "learning_rate": 6.821821433093179e-08, + "loss": 0.8671, + "step": 32300 + }, + { + "epoch": 0.95, + "learning_rate": 6.813991368281814e-08, + "loss": 0.6514, + "step": 32301 + }, + { + "epoch": 0.95, + "learning_rate": 6.806165768882877e-08, + "loss": 1.0172, + "step": 32302 + }, + { + "epoch": 0.95, + "learning_rate": 6.798344634967313e-08, + "loss": 0.619, + "step": 32303 + }, + { + "epoch": 0.95, + "learning_rate": 6.790527966605898e-08, + "loss": 0.5142, + "step": 32304 + }, + { + "epoch": 0.95, + "learning_rate": 6.782715763869352e-08, + "loss": 0.4527, + "step": 32305 + }, + { + "epoch": 0.95, + "learning_rate": 6.774908026828452e-08, + "loss": 0.8759, + "step": 32306 + }, + { + "epoch": 0.95, + "learning_rate": 6.767104755553922e-08, + "loss": 0.8925, + "step": 32307 + }, + { + "epoch": 0.95, + "learning_rate": 6.759305950116368e-08, + "loss": 0.6421, + "step": 32308 + }, + { + "epoch": 0.95, + "learning_rate": 6.751511610586403e-08, + "loss": 0.6826, + "step": 32309 + }, + { + "epoch": 0.95, + "learning_rate": 6.743721737034637e-08, + "loss": 0.693, + "step": 32310 + }, + { + "epoch": 0.95, + "learning_rate": 6.735936329531512e-08, + "loss": 0.7027, + "step": 32311 + }, + { + "epoch": 0.95, + "learning_rate": 6.728155388147695e-08, + "loss": 0.7722, + "step": 32312 + }, + { + "epoch": 0.95, + "learning_rate": 6.720378912953407e-08, + "loss": 0.9679, + "step": 32313 + }, + { + "epoch": 0.95, + "learning_rate": 6.712606904019259e-08, + "loss": 0.7299, + "step": 32314 + }, + { + "epoch": 0.95, + "learning_rate": 6.704839361415471e-08, + "loss": 0.7783, + "step": 32315 + }, + { + "epoch": 0.95, + "learning_rate": 6.697076285212545e-08, + "loss": 0.5289, + "step": 32316 + }, + { + "epoch": 0.95, + "learning_rate": 6.689317675480533e-08, + "loss": 0.8176, + "step": 32317 + }, + { + "epoch": 0.95, + "learning_rate": 6.681563532289937e-08, + "loss": 0.8136, + "step": 32318 + }, + { + "epoch": 0.95, + "learning_rate": 6.673813855710753e-08, + "loss": 0.6748, + "step": 32319 + }, + { + "epoch": 0.95, + "learning_rate": 6.666068645813207e-08, + "loss": 0.8281, + "step": 32320 + }, + { + "epoch": 0.95, + "learning_rate": 6.658327902667516e-08, + "loss": 0.9268, + "step": 32321 + }, + { + "epoch": 0.95, + "learning_rate": 6.650591626343683e-08, + "loss": 0.6523, + "step": 32322 + }, + { + "epoch": 0.95, + "learning_rate": 6.642859816911818e-08, + "loss": 0.7225, + "step": 32323 + }, + { + "epoch": 0.95, + "learning_rate": 6.635132474441863e-08, + "loss": 0.8145, + "step": 32324 + }, + { + "epoch": 0.95, + "learning_rate": 6.627409599003764e-08, + "loss": 0.526, + "step": 32325 + }, + { + "epoch": 0.95, + "learning_rate": 6.619691190667521e-08, + "loss": 0.8979, + "step": 32326 + }, + { + "epoch": 0.95, + "learning_rate": 6.611977249502966e-08, + "loss": 0.6707, + "step": 32327 + }, + { + "epoch": 0.95, + "learning_rate": 6.604267775579987e-08, + "loss": 0.5971, + "step": 32328 + }, + { + "epoch": 0.95, + "learning_rate": 6.596562768968361e-08, + "loss": 0.6205, + "step": 32329 + }, + { + "epoch": 0.95, + "learning_rate": 6.588862229737813e-08, + "loss": 0.6121, + "step": 32330 + }, + { + "epoch": 0.95, + "learning_rate": 6.581166157958119e-08, + "loss": 0.6174, + "step": 32331 + }, + { + "epoch": 0.95, + "learning_rate": 6.573474553698944e-08, + "loss": 0.6912, + "step": 32332 + }, + { + "epoch": 0.95, + "learning_rate": 6.565787417029956e-08, + "loss": 0.672, + "step": 32333 + }, + { + "epoch": 0.95, + "learning_rate": 6.55810474802071e-08, + "loss": 0.6537, + "step": 32334 + }, + { + "epoch": 0.95, + "learning_rate": 6.550426546740763e-08, + "loss": 0.8206, + "step": 32335 + }, + { + "epoch": 0.95, + "learning_rate": 6.542752813259667e-08, + "loss": 0.8465, + "step": 32336 + }, + { + "epoch": 0.95, + "learning_rate": 6.535083547646925e-08, + "loss": 0.6957, + "step": 32337 + }, + { + "epoch": 0.95, + "learning_rate": 6.527418749971926e-08, + "loss": 0.5997, + "step": 32338 + }, + { + "epoch": 0.95, + "learning_rate": 6.519758420304056e-08, + "loss": 0.7148, + "step": 32339 + }, + { + "epoch": 0.95, + "learning_rate": 6.512102558712707e-08, + "loss": 0.6558, + "step": 32340 + }, + { + "epoch": 0.95, + "learning_rate": 6.504451165267267e-08, + "loss": 0.6824, + "step": 32341 + }, + { + "epoch": 0.95, + "learning_rate": 6.496804240036848e-08, + "loss": 0.9904, + "step": 32342 + }, + { + "epoch": 0.95, + "learning_rate": 6.489161783090836e-08, + "loss": 0.9438, + "step": 32343 + }, + { + "epoch": 0.95, + "learning_rate": 6.481523794498345e-08, + "loss": 0.4587, + "step": 32344 + }, + { + "epoch": 0.95, + "learning_rate": 6.473890274328598e-08, + "loss": 0.6416, + "step": 32345 + }, + { + "epoch": 0.95, + "learning_rate": 6.466261222650594e-08, + "loss": 0.5163, + "step": 32346 + }, + { + "epoch": 0.95, + "learning_rate": 6.458636639533555e-08, + "loss": 0.6883, + "step": 32347 + }, + { + "epoch": 0.95, + "learning_rate": 6.451016525046427e-08, + "loss": 0.7744, + "step": 32348 + }, + { + "epoch": 0.95, + "learning_rate": 6.443400879258155e-08, + "loss": 0.7281, + "step": 32349 + }, + { + "epoch": 0.95, + "learning_rate": 6.435789702237849e-08, + "loss": 0.5823, + "step": 32350 + }, + { + "epoch": 0.95, + "learning_rate": 6.428182994054288e-08, + "loss": 0.8068, + "step": 32351 + }, + { + "epoch": 0.95, + "learning_rate": 6.420580754776418e-08, + "loss": 0.6759, + "step": 32352 + }, + { + "epoch": 0.95, + "learning_rate": 6.41298298447296e-08, + "loss": 0.535, + "step": 32353 + }, + { + "epoch": 0.95, + "learning_rate": 6.405389683212914e-08, + "loss": 0.8367, + "step": 32354 + }, + { + "epoch": 0.95, + "learning_rate": 6.397800851064784e-08, + "loss": 0.5282, + "step": 32355 + }, + { + "epoch": 0.95, + "learning_rate": 6.390216488097512e-08, + "loss": 0.61, + "step": 32356 + }, + { + "epoch": 0.95, + "learning_rate": 6.382636594379543e-08, + "loss": 0.7529, + "step": 32357 + }, + { + "epoch": 0.95, + "learning_rate": 6.375061169979713e-08, + "loss": 0.8641, + "step": 32358 + }, + { + "epoch": 0.95, + "learning_rate": 6.367490214966465e-08, + "loss": 0.4701, + "step": 32359 + }, + { + "epoch": 0.95, + "learning_rate": 6.359923729408412e-08, + "loss": 0.6103, + "step": 32360 + }, + { + "epoch": 0.95, + "learning_rate": 6.352361713374055e-08, + "loss": 0.5868, + "step": 32361 + }, + { + "epoch": 0.95, + "learning_rate": 6.344804166931895e-08, + "loss": 0.6329, + "step": 32362 + }, + { + "epoch": 0.95, + "learning_rate": 6.33725109015032e-08, + "loss": 0.8657, + "step": 32363 + }, + { + "epoch": 0.95, + "learning_rate": 6.329702483097722e-08, + "loss": 0.704, + "step": 32364 + }, + { + "epoch": 0.95, + "learning_rate": 6.322158345842433e-08, + "loss": 0.6032, + "step": 32365 + }, + { + "epoch": 0.95, + "learning_rate": 6.314618678452789e-08, + "loss": 0.9965, + "step": 32366 + }, + { + "epoch": 0.95, + "learning_rate": 6.307083480997011e-08, + "loss": 0.6058, + "step": 32367 + }, + { + "epoch": 0.95, + "learning_rate": 6.299552753543381e-08, + "loss": 0.4693, + "step": 32368 + }, + { + "epoch": 0.95, + "learning_rate": 6.292026496160064e-08, + "loss": 0.6395, + "step": 32369 + }, + { + "epoch": 0.95, + "learning_rate": 6.284504708915173e-08, + "loss": 0.8466, + "step": 32370 + }, + { + "epoch": 0.95, + "learning_rate": 6.276987391876876e-08, + "loss": 0.4349, + "step": 32371 + }, + { + "epoch": 0.95, + "learning_rate": 6.269474545113174e-08, + "loss": 0.6081, + "step": 32372 + }, + { + "epoch": 0.95, + "learning_rate": 6.261966168692124e-08, + "loss": 0.5671, + "step": 32373 + }, + { + "epoch": 0.95, + "learning_rate": 6.25446226268167e-08, + "loss": 0.8686, + "step": 32374 + }, + { + "epoch": 0.95, + "learning_rate": 6.246962827149816e-08, + "loss": 0.8901, + "step": 32375 + }, + { + "epoch": 0.95, + "learning_rate": 6.239467862164395e-08, + "loss": 0.6241, + "step": 32376 + }, + { + "epoch": 0.95, + "learning_rate": 6.231977367793352e-08, + "loss": 0.5965, + "step": 32377 + }, + { + "epoch": 0.95, + "learning_rate": 6.224491344104411e-08, + "loss": 0.8452, + "step": 32378 + }, + { + "epoch": 0.95, + "learning_rate": 6.217009791165407e-08, + "loss": 0.5162, + "step": 32379 + }, + { + "epoch": 0.95, + "learning_rate": 6.209532709044064e-08, + "loss": 0.8121, + "step": 32380 + }, + { + "epoch": 0.95, + "learning_rate": 6.20206009780816e-08, + "loss": 0.6882, + "step": 32381 + }, + { + "epoch": 0.95, + "learning_rate": 6.194591957525197e-08, + "loss": 0.8237, + "step": 32382 + }, + { + "epoch": 0.95, + "learning_rate": 6.187128288262956e-08, + "loss": 0.5944, + "step": 32383 + }, + { + "epoch": 0.95, + "learning_rate": 6.17966909008888e-08, + "loss": 0.8838, + "step": 32384 + }, + { + "epoch": 0.95, + "learning_rate": 6.172214363070583e-08, + "loss": 0.5753, + "step": 32385 + }, + { + "epoch": 0.95, + "learning_rate": 6.164764107275512e-08, + "loss": 0.5766, + "step": 32386 + }, + { + "epoch": 0.95, + "learning_rate": 6.157318322771222e-08, + "loss": 1.0185, + "step": 32387 + }, + { + "epoch": 0.95, + "learning_rate": 6.149877009624994e-08, + "loss": 0.9667, + "step": 32388 + }, + { + "epoch": 0.95, + "learning_rate": 6.142440167904274e-08, + "loss": 0.7536, + "step": 32389 + }, + { + "epoch": 0.95, + "learning_rate": 6.13500779767645e-08, + "loss": 0.6497, + "step": 32390 + }, + { + "epoch": 0.95, + "learning_rate": 6.127579899008696e-08, + "loss": 0.7702, + "step": 32391 + }, + { + "epoch": 0.95, + "learning_rate": 6.120156471968397e-08, + "loss": 0.7609, + "step": 32392 + }, + { + "epoch": 0.95, + "learning_rate": 6.112737516622614e-08, + "loss": 0.7831, + "step": 32393 + }, + { + "epoch": 0.95, + "learning_rate": 6.105323033038679e-08, + "loss": 0.614, + "step": 32394 + }, + { + "epoch": 0.95, + "learning_rate": 6.097913021283597e-08, + "loss": 0.9503, + "step": 32395 + }, + { + "epoch": 0.95, + "learning_rate": 6.090507481424534e-08, + "loss": 0.6586, + "step": 32396 + }, + { + "epoch": 0.95, + "learning_rate": 6.08310641352855e-08, + "loss": 0.5311, + "step": 32397 + }, + { + "epoch": 0.95, + "learning_rate": 6.07570981766259e-08, + "loss": 0.784, + "step": 32398 + }, + { + "epoch": 0.95, + "learning_rate": 6.0683176938936e-08, + "loss": 0.9023, + "step": 32399 + }, + { + "epoch": 0.95, + "learning_rate": 6.060930042288637e-08, + "loss": 0.8982, + "step": 32400 + }, + { + "epoch": 0.95, + "learning_rate": 6.053546862914539e-08, + "loss": 0.7798, + "step": 32401 + }, + { + "epoch": 0.95, + "learning_rate": 6.046168155838139e-08, + "loss": 0.6811, + "step": 32402 + }, + { + "epoch": 0.95, + "learning_rate": 6.038793921126218e-08, + "loss": 0.8166, + "step": 32403 + }, + { + "epoch": 0.95, + "learning_rate": 6.031424158845555e-08, + "loss": 0.8113, + "step": 32404 + }, + { + "epoch": 0.95, + "learning_rate": 6.024058869062932e-08, + "loss": 0.6872, + "step": 32405 + }, + { + "epoch": 0.95, + "learning_rate": 6.016698051845016e-08, + "loss": 0.5663, + "step": 32406 + }, + { + "epoch": 0.95, + "learning_rate": 6.009341707258365e-08, + "loss": 0.6911, + "step": 32407 + }, + { + "epoch": 0.95, + "learning_rate": 6.001989835369648e-08, + "loss": 0.8219, + "step": 32408 + }, + { + "epoch": 0.95, + "learning_rate": 5.994642436245535e-08, + "loss": 0.7094, + "step": 32409 + }, + { + "epoch": 0.95, + "learning_rate": 5.98729950995236e-08, + "loss": 0.5159, + "step": 32410 + }, + { + "epoch": 0.95, + "learning_rate": 5.979961056556737e-08, + "loss": 0.8311, + "step": 32411 + }, + { + "epoch": 0.95, + "learning_rate": 5.972627076125059e-08, + "loss": 0.5787, + "step": 32412 + }, + { + "epoch": 0.95, + "learning_rate": 5.965297568723771e-08, + "loss": 0.6694, + "step": 32413 + }, + { + "epoch": 0.95, + "learning_rate": 5.95797253441921e-08, + "loss": 0.7862, + "step": 32414 + }, + { + "epoch": 0.95, + "learning_rate": 5.9506519732777103e-08, + "loss": 0.6288, + "step": 32415 + }, + { + "epoch": 0.95, + "learning_rate": 5.943335885365498e-08, + "loss": 0.5146, + "step": 32416 + }, + { + "epoch": 0.95, + "learning_rate": 5.936024270748908e-08, + "loss": 0.6078, + "step": 32417 + }, + { + "epoch": 0.95, + "learning_rate": 5.9287171294939994e-08, + "loss": 0.8416, + "step": 32418 + }, + { + "epoch": 0.95, + "learning_rate": 5.921414461667108e-08, + "loss": 0.6731, + "step": 32419 + }, + { + "epoch": 0.95, + "learning_rate": 5.91411626733418e-08, + "loss": 0.6627, + "step": 32420 + }, + { + "epoch": 0.95, + "learning_rate": 5.906822546561497e-08, + "loss": 0.4268, + "step": 32421 + }, + { + "epoch": 0.95, + "learning_rate": 5.8995332994148945e-08, + "loss": 1.0102, + "step": 32422 + }, + { + "epoch": 0.95, + "learning_rate": 5.892248525960542e-08, + "loss": 0.7926, + "step": 32423 + }, + { + "epoch": 0.95, + "learning_rate": 5.884968226264276e-08, + "loss": 0.6086, + "step": 32424 + }, + { + "epoch": 0.95, + "learning_rate": 5.877692400392043e-08, + "loss": 1.1673, + "step": 32425 + }, + { + "epoch": 0.95, + "learning_rate": 5.870421048409736e-08, + "loss": 0.7328, + "step": 32426 + }, + { + "epoch": 0.95, + "learning_rate": 5.863154170383245e-08, + "loss": 0.8456, + "step": 32427 + }, + { + "epoch": 0.95, + "learning_rate": 5.855891766378241e-08, + "loss": 0.8396, + "step": 32428 + }, + { + "epoch": 0.95, + "learning_rate": 5.84863383646056e-08, + "loss": 0.7797, + "step": 32429 + }, + { + "epoch": 0.95, + "learning_rate": 5.8413803806959266e-08, + "loss": 0.8751, + "step": 32430 + }, + { + "epoch": 0.95, + "learning_rate": 5.834131399149956e-08, + "loss": 0.7211, + "step": 32431 + }, + { + "epoch": 0.95, + "learning_rate": 5.826886891888317e-08, + "loss": 0.6454, + "step": 32432 + }, + { + "epoch": 0.95, + "learning_rate": 5.819646858976624e-08, + "loss": 0.5846, + "step": 32433 + }, + { + "epoch": 0.95, + "learning_rate": 5.812411300480436e-08, + "loss": 0.7552, + "step": 32434 + }, + { + "epoch": 0.95, + "learning_rate": 5.805180216465201e-08, + "loss": 0.8476, + "step": 32435 + }, + { + "epoch": 0.95, + "learning_rate": 5.797953606996476e-08, + "loss": 0.6947, + "step": 32436 + }, + { + "epoch": 0.95, + "learning_rate": 5.790731472139599e-08, + "loss": 0.7795, + "step": 32437 + }, + { + "epoch": 0.95, + "learning_rate": 5.783513811959962e-08, + "loss": 0.9355, + "step": 32438 + }, + { + "epoch": 0.95, + "learning_rate": 5.7763006265230124e-08, + "loss": 0.6421, + "step": 32439 + }, + { + "epoch": 0.95, + "learning_rate": 5.769091915894032e-08, + "loss": 0.62, + "step": 32440 + }, + { + "epoch": 0.95, + "learning_rate": 5.761887680138245e-08, + "loss": 0.7646, + "step": 32441 + }, + { + "epoch": 0.95, + "learning_rate": 5.754687919320878e-08, + "loss": 0.4445, + "step": 32442 + }, + { + "epoch": 0.95, + "learning_rate": 5.747492633507157e-08, + "loss": 0.8505, + "step": 32443 + }, + { + "epoch": 0.95, + "learning_rate": 5.740301822762251e-08, + "loss": 0.6927, + "step": 32444 + }, + { + "epoch": 0.95, + "learning_rate": 5.7331154871512195e-08, + "loss": 0.7739, + "step": 32445 + }, + { + "epoch": 0.95, + "learning_rate": 5.725933626739122e-08, + "loss": 0.7093, + "step": 32446 + }, + { + "epoch": 0.95, + "learning_rate": 5.7187562415909616e-08, + "loss": 0.8056, + "step": 32447 + }, + { + "epoch": 0.95, + "learning_rate": 5.711583331771797e-08, + "loss": 0.5851, + "step": 32448 + }, + { + "epoch": 0.95, + "learning_rate": 5.7044148973465775e-08, + "loss": 0.6976, + "step": 32449 + }, + { + "epoch": 0.95, + "learning_rate": 5.697250938380139e-08, + "loss": 0.6528, + "step": 32450 + }, + { + "epoch": 0.95, + "learning_rate": 5.6900914549373744e-08, + "loss": 0.6402, + "step": 32451 + }, + { + "epoch": 0.95, + "learning_rate": 5.682936447083176e-08, + "loss": 0.9127, + "step": 32452 + }, + { + "epoch": 0.95, + "learning_rate": 5.675785914882215e-08, + "loss": 0.6039, + "step": 32453 + }, + { + "epoch": 0.95, + "learning_rate": 5.668639858399272e-08, + "loss": 0.6401, + "step": 32454 + }, + { + "epoch": 0.95, + "learning_rate": 5.6614982776990736e-08, + "loss": 0.798, + "step": 32455 + }, + { + "epoch": 0.95, + "learning_rate": 5.654361172846234e-08, + "loss": 0.6137, + "step": 32456 + }, + { + "epoch": 0.95, + "learning_rate": 5.6472285439054253e-08, + "loss": 0.6794, + "step": 32457 + }, + { + "epoch": 0.95, + "learning_rate": 5.64010039094115e-08, + "loss": 0.9115, + "step": 32458 + }, + { + "epoch": 0.95, + "learning_rate": 5.6329767140180794e-08, + "loss": 0.5576, + "step": 32459 + }, + { + "epoch": 0.95, + "learning_rate": 5.6258575132006056e-08, + "loss": 0.6213, + "step": 32460 + }, + { + "epoch": 0.95, + "learning_rate": 5.6187427885532884e-08, + "loss": 0.95, + "step": 32461 + }, + { + "epoch": 0.95, + "learning_rate": 5.61163254014041e-08, + "loss": 0.6743, + "step": 32462 + }, + { + "epoch": 0.95, + "learning_rate": 5.604526768026419e-08, + "loss": 0.7994, + "step": 32463 + }, + { + "epoch": 0.95, + "learning_rate": 5.597425472275653e-08, + "loss": 0.6372, + "step": 32464 + }, + { + "epoch": 0.95, + "learning_rate": 5.590328652952448e-08, + "loss": 0.8235, + "step": 32465 + }, + { + "epoch": 0.95, + "learning_rate": 5.583236310120976e-08, + "loss": 0.7569, + "step": 32466 + }, + { + "epoch": 0.95, + "learning_rate": 5.576148443845519e-08, + "loss": 0.7998, + "step": 32467 + }, + { + "epoch": 0.95, + "learning_rate": 5.569065054190193e-08, + "loss": 0.8158, + "step": 32468 + }, + { + "epoch": 0.95, + "learning_rate": 5.561986141219222e-08, + "loss": 0.5818, + "step": 32469 + }, + { + "epoch": 0.95, + "learning_rate": 5.554911704996613e-08, + "loss": 0.5397, + "step": 32470 + }, + { + "epoch": 0.95, + "learning_rate": 5.5478417455864244e-08, + "loss": 0.552, + "step": 32471 + }, + { + "epoch": 0.95, + "learning_rate": 5.540776263052716e-08, + "loss": 0.789, + "step": 32472 + }, + { + "epoch": 0.95, + "learning_rate": 5.5337152574594934e-08, + "loss": 0.7195, + "step": 32473 + }, + { + "epoch": 0.95, + "learning_rate": 5.526658728870593e-08, + "loss": 0.9604, + "step": 32474 + }, + { + "epoch": 0.95, + "learning_rate": 5.519606677349964e-08, + "loss": 0.7459, + "step": 32475 + }, + { + "epoch": 0.95, + "learning_rate": 5.51255910296139e-08, + "loss": 0.6486, + "step": 32476 + }, + { + "epoch": 0.95, + "learning_rate": 5.5055160057687626e-08, + "loss": 0.6323, + "step": 32477 + }, + { + "epoch": 0.95, + "learning_rate": 5.4984773858358654e-08, + "loss": 0.7643, + "step": 32478 + }, + { + "epoch": 0.95, + "learning_rate": 5.491443243226313e-08, + "loss": 0.7743, + "step": 32479 + }, + { + "epoch": 0.95, + "learning_rate": 5.484413578003944e-08, + "loss": 0.5024, + "step": 32480 + }, + { + "epoch": 0.95, + "learning_rate": 5.4773883902322636e-08, + "loss": 0.7637, + "step": 32481 + }, + { + "epoch": 0.95, + "learning_rate": 5.4703676799749974e-08, + "loss": 0.6703, + "step": 32482 + }, + { + "epoch": 0.95, + "learning_rate": 5.463351447295595e-08, + "loss": 0.6497, + "step": 32483 + }, + { + "epoch": 0.95, + "learning_rate": 5.4563396922577285e-08, + "loss": 0.4951, + "step": 32484 + }, + { + "epoch": 0.95, + "learning_rate": 5.449332414924735e-08, + "loss": 0.7396, + "step": 32485 + }, + { + "epoch": 0.95, + "learning_rate": 5.4423296153601754e-08, + "loss": 0.6661, + "step": 32486 + }, + { + "epoch": 0.95, + "learning_rate": 5.4353312936273325e-08, + "loss": 0.6097, + "step": 32487 + }, + { + "epoch": 0.95, + "learning_rate": 5.4283374497897114e-08, + "loss": 0.6176, + "step": 32488 + }, + { + "epoch": 0.95, + "learning_rate": 5.421348083910538e-08, + "loss": 0.7032, + "step": 32489 + }, + { + "epoch": 0.95, + "learning_rate": 5.414363196053152e-08, + "loss": 0.7076, + "step": 32490 + }, + { + "epoch": 0.95, + "learning_rate": 5.4073827862807235e-08, + "loss": 0.5814, + "step": 32491 + }, + { + "epoch": 0.95, + "learning_rate": 5.400406854656592e-08, + "loss": 0.6959, + "step": 32492 + }, + { + "epoch": 0.95, + "learning_rate": 5.3934354012437076e-08, + "loss": 0.6675, + "step": 32493 + }, + { + "epoch": 0.95, + "learning_rate": 5.386468426105407e-08, + "loss": 0.7459, + "step": 32494 + }, + { + "epoch": 0.95, + "learning_rate": 5.37950592930464e-08, + "loss": 0.6631, + "step": 32495 + }, + { + "epoch": 0.95, + "learning_rate": 5.3725479109045245e-08, + "loss": 0.7023, + "step": 32496 + }, + { + "epoch": 0.95, + "learning_rate": 5.3655943709679526e-08, + "loss": 1.0317, + "step": 32497 + }, + { + "epoch": 0.95, + "learning_rate": 5.358645309557986e-08, + "loss": 0.9484, + "step": 32498 + }, + { + "epoch": 0.95, + "learning_rate": 5.351700726737463e-08, + "loss": 0.5126, + "step": 32499 + }, + { + "epoch": 0.95, + "learning_rate": 5.3447606225693335e-08, + "loss": 0.6947, + "step": 32500 + }, + { + "epoch": 0.95, + "learning_rate": 5.337824997116436e-08, + "loss": 0.8216, + "step": 32501 + }, + { + "epoch": 0.95, + "learning_rate": 5.330893850441499e-08, + "loss": 0.8797, + "step": 32502 + }, + { + "epoch": 0.95, + "learning_rate": 5.323967182607359e-08, + "loss": 0.8527, + "step": 32503 + }, + { + "epoch": 0.95, + "learning_rate": 5.317044993676635e-08, + "loss": 0.5262, + "step": 32504 + }, + { + "epoch": 0.95, + "learning_rate": 5.3101272837121074e-08, + "loss": 0.6564, + "step": 32505 + }, + { + "epoch": 0.95, + "learning_rate": 5.303214052776284e-08, + "loss": 0.5915, + "step": 32506 + }, + { + "epoch": 0.96, + "learning_rate": 5.296305300931892e-08, + "loss": 0.6536, + "step": 32507 + }, + { + "epoch": 0.96, + "learning_rate": 5.289401028241381e-08, + "loss": 0.6208, + "step": 32508 + }, + { + "epoch": 0.96, + "learning_rate": 5.2825012347673675e-08, + "loss": 0.9642, + "step": 32509 + }, + { + "epoch": 0.96, + "learning_rate": 5.275605920572191e-08, + "loss": 0.7589, + "step": 32510 + }, + { + "epoch": 0.96, + "learning_rate": 5.268715085718468e-08, + "loss": 0.7104, + "step": 32511 + }, + { + "epoch": 0.96, + "learning_rate": 5.26182873026837e-08, + "loss": 0.434, + "step": 32512 + }, + { + "epoch": 0.96, + "learning_rate": 5.254946854284404e-08, + "loss": 0.5418, + "step": 32513 + }, + { + "epoch": 0.96, + "learning_rate": 5.2480694578288524e-08, + "loss": 0.8224, + "step": 32514 + }, + { + "epoch": 0.96, + "learning_rate": 5.2411965409639445e-08, + "loss": 0.4135, + "step": 32515 + }, + { + "epoch": 0.96, + "learning_rate": 5.234328103751907e-08, + "loss": 0.6894, + "step": 32516 + }, + { + "epoch": 0.96, + "learning_rate": 5.227464146254968e-08, + "loss": 0.7757, + "step": 32517 + }, + { + "epoch": 0.96, + "learning_rate": 5.220604668535245e-08, + "loss": 0.5254, + "step": 32518 + }, + { + "epoch": 0.96, + "learning_rate": 5.2137496706548554e-08, + "loss": 0.6615, + "step": 32519 + }, + { + "epoch": 0.96, + "learning_rate": 5.206899152675915e-08, + "loss": 0.5563, + "step": 32520 + }, + { + "epoch": 0.96, + "learning_rate": 5.200053114660375e-08, + "loss": 0.813, + "step": 32521 + }, + { + "epoch": 0.96, + "learning_rate": 5.1932115566702415e-08, + "loss": 0.5033, + "step": 32522 + }, + { + "epoch": 0.96, + "learning_rate": 5.1863744787674643e-08, + "loss": 0.9812, + "step": 32523 + }, + { + "epoch": 0.96, + "learning_rate": 5.179541881013994e-08, + "loss": 0.6469, + "step": 32524 + }, + { + "epoch": 0.96, + "learning_rate": 5.172713763471615e-08, + "loss": 0.7545, + "step": 32525 + }, + { + "epoch": 0.96, + "learning_rate": 5.1658901262021666e-08, + "loss": 0.5574, + "step": 32526 + }, + { + "epoch": 0.96, + "learning_rate": 5.1590709692674327e-08, + "loss": 0.8791, + "step": 32527 + }, + { + "epoch": 0.96, + "learning_rate": 5.152256292729252e-08, + "loss": 0.674, + "step": 32528 + }, + { + "epoch": 0.96, + "learning_rate": 5.145446096649187e-08, + "loss": 0.6669, + "step": 32529 + }, + { + "epoch": 0.96, + "learning_rate": 5.138640381089022e-08, + "loss": 0.7032, + "step": 32530 + }, + { + "epoch": 0.96, + "learning_rate": 5.1318391461102627e-08, + "loss": 0.6372, + "step": 32531 + }, + { + "epoch": 0.96, + "learning_rate": 5.125042391774582e-08, + "loss": 0.7297, + "step": 32532 + }, + { + "epoch": 0.96, + "learning_rate": 5.118250118143431e-08, + "loss": 0.5201, + "step": 32533 + }, + { + "epoch": 0.96, + "learning_rate": 5.1114623252783716e-08, + "loss": 0.4222, + "step": 32534 + }, + { + "epoch": 0.96, + "learning_rate": 5.104679013240854e-08, + "loss": 0.7026, + "step": 32535 + }, + { + "epoch": 0.96, + "learning_rate": 5.0979001820922746e-08, + "loss": 0.5836, + "step": 32536 + }, + { + "epoch": 0.96, + "learning_rate": 5.0911258318940285e-08, + "loss": 0.7093, + "step": 32537 + }, + { + "epoch": 0.96, + "learning_rate": 5.084355962707455e-08, + "loss": 0.8542, + "step": 32538 + }, + { + "epoch": 0.96, + "learning_rate": 5.0775905745938933e-08, + "loss": 0.6895, + "step": 32539 + }, + { + "epoch": 0.96, + "learning_rate": 5.070829667614463e-08, + "loss": 0.5612, + "step": 32540 + }, + { + "epoch": 0.96, + "learning_rate": 5.064073241830503e-08, + "loss": 0.6619, + "step": 32541 + }, + { + "epoch": 0.96, + "learning_rate": 5.05732129730313e-08, + "loss": 0.4157, + "step": 32542 + }, + { + "epoch": 0.96, + "learning_rate": 5.050573834093519e-08, + "loss": 0.5931, + "step": 32543 + }, + { + "epoch": 0.96, + "learning_rate": 5.043830852262732e-08, + "loss": 0.5771, + "step": 32544 + }, + { + "epoch": 0.96, + "learning_rate": 5.0370923518718305e-08, + "loss": 0.5909, + "step": 32545 + }, + { + "epoch": 0.96, + "learning_rate": 5.0303583329817664e-08, + "loss": 0.8535, + "step": 32546 + }, + { + "epoch": 0.96, + "learning_rate": 5.023628795653657e-08, + "loss": 0.668, + "step": 32547 + }, + { + "epoch": 0.96, + "learning_rate": 5.0169037399482866e-08, + "loss": 0.5818, + "step": 32548 + }, + { + "epoch": 0.96, + "learning_rate": 5.010183165926663e-08, + "loss": 0.7, + "step": 32549 + }, + { + "epoch": 0.96, + "learning_rate": 5.003467073649515e-08, + "loss": 0.7281, + "step": 32550 + }, + { + "epoch": 0.96, + "learning_rate": 4.996755463177794e-08, + "loss": 0.8691, + "step": 32551 + }, + { + "epoch": 0.96, + "learning_rate": 4.990048334572117e-08, + "loss": 0.8907, + "step": 32552 + }, + { + "epoch": 0.96, + "learning_rate": 4.983345687893326e-08, + "loss": 0.6467, + "step": 32553 + }, + { + "epoch": 0.96, + "learning_rate": 4.976647523202038e-08, + "loss": 1.0214, + "step": 32554 + }, + { + "epoch": 0.96, + "learning_rate": 4.969953840558927e-08, + "loss": 0.8886, + "step": 32555 + }, + { + "epoch": 0.96, + "learning_rate": 4.963264640024612e-08, + "loss": 0.6035, + "step": 32556 + }, + { + "epoch": 0.96, + "learning_rate": 4.956579921659599e-08, + "loss": 0.6517, + "step": 32557 + }, + { + "epoch": 0.96, + "learning_rate": 4.949899685524506e-08, + "loss": 0.7906, + "step": 32558 + }, + { + "epoch": 0.96, + "learning_rate": 4.943223931679786e-08, + "loss": 0.6442, + "step": 32559 + }, + { + "epoch": 0.96, + "learning_rate": 4.9365526601858335e-08, + "loss": 0.6155, + "step": 32560 + }, + { + "epoch": 0.96, + "learning_rate": 4.929885871103102e-08, + "loss": 1.0472, + "step": 32561 + }, + { + "epoch": 0.96, + "learning_rate": 4.9232235644919305e-08, + "loss": 0.856, + "step": 32562 + }, + { + "epoch": 0.96, + "learning_rate": 4.916565740412604e-08, + "loss": 0.8388, + "step": 32563 + }, + { + "epoch": 0.96, + "learning_rate": 4.9099123989255203e-08, + "loss": 0.6488, + "step": 32564 + }, + { + "epoch": 0.96, + "learning_rate": 4.9032635400907966e-08, + "loss": 0.7381, + "step": 32565 + }, + { + "epoch": 0.96, + "learning_rate": 4.896619163968719e-08, + "loss": 0.5152, + "step": 32566 + }, + { + "epoch": 0.96, + "learning_rate": 4.889979270619349e-08, + "loss": 0.7125, + "step": 32567 + }, + { + "epoch": 0.96, + "learning_rate": 4.8833438601029736e-08, + "loss": 0.7016, + "step": 32568 + }, + { + "epoch": 0.96, + "learning_rate": 4.8767129324794884e-08, + "loss": 0.5746, + "step": 32569 + }, + { + "epoch": 0.96, + "learning_rate": 4.8700864878090115e-08, + "loss": 0.7814, + "step": 32570 + }, + { + "epoch": 0.96, + "learning_rate": 4.8634645261515514e-08, + "loss": 0.4925, + "step": 32571 + }, + { + "epoch": 0.96, + "learning_rate": 4.8568470475670595e-08, + "loss": 0.5654, + "step": 32572 + }, + { + "epoch": 0.96, + "learning_rate": 4.850234052115432e-08, + "loss": 0.7824, + "step": 32573 + }, + { + "epoch": 0.96, + "learning_rate": 4.843625539856622e-08, + "loss": 0.7279, + "step": 32574 + }, + { + "epoch": 0.96, + "learning_rate": 4.8370215108503036e-08, + "loss": 0.8042, + "step": 32575 + }, + { + "epoch": 0.96, + "learning_rate": 4.830421965156373e-08, + "loss": 0.7855, + "step": 32576 + }, + { + "epoch": 0.96, + "learning_rate": 4.8238269028346164e-08, + "loss": 0.7691, + "step": 32577 + }, + { + "epoch": 0.96, + "learning_rate": 4.817236323944707e-08, + "loss": 0.6958, + "step": 32578 + }, + { + "epoch": 0.96, + "learning_rate": 4.810650228546321e-08, + "loss": 0.6266, + "step": 32579 + }, + { + "epoch": 0.96, + "learning_rate": 4.804068616699076e-08, + "loss": 0.7571, + "step": 32580 + }, + { + "epoch": 0.96, + "learning_rate": 4.797491488462536e-08, + "loss": 0.8382, + "step": 32581 + }, + { + "epoch": 0.96, + "learning_rate": 4.7909188438963194e-08, + "loss": 0.7605, + "step": 32582 + }, + { + "epoch": 0.96, + "learning_rate": 4.784350683059935e-08, + "loss": 0.6798, + "step": 32583 + }, + { + "epoch": 0.96, + "learning_rate": 4.7777870060127796e-08, + "loss": 0.9909, + "step": 32584 + }, + { + "epoch": 0.96, + "learning_rate": 4.7712278128143604e-08, + "loss": 0.6757, + "step": 32585 + }, + { + "epoch": 0.96, + "learning_rate": 4.7646731035240204e-08, + "loss": 0.7121, + "step": 32586 + }, + { + "epoch": 0.96, + "learning_rate": 4.7581228782010993e-08, + "loss": 0.54, + "step": 32587 + }, + { + "epoch": 0.96, + "learning_rate": 4.751577136904939e-08, + "loss": 0.6862, + "step": 32588 + }, + { + "epoch": 0.96, + "learning_rate": 4.745035879694826e-08, + "loss": 0.5707, + "step": 32589 + }, + { + "epoch": 0.96, + "learning_rate": 4.738499106629879e-08, + "loss": 0.8054, + "step": 32590 + }, + { + "epoch": 0.96, + "learning_rate": 4.73196681776944e-08, + "loss": 0.7299, + "step": 32591 + }, + { + "epoch": 0.96, + "learning_rate": 4.725439013172517e-08, + "loss": 0.727, + "step": 32592 + }, + { + "epoch": 0.96, + "learning_rate": 4.7189156928982846e-08, + "loss": 0.8742, + "step": 32593 + }, + { + "epoch": 0.96, + "learning_rate": 4.712396857005752e-08, + "loss": 0.8745, + "step": 32594 + }, + { + "epoch": 0.96, + "learning_rate": 4.705882505554038e-08, + "loss": 0.6594, + "step": 32595 + }, + { + "epoch": 0.96, + "learning_rate": 4.69937263860204e-08, + "loss": 0.4715, + "step": 32596 + }, + { + "epoch": 0.96, + "learning_rate": 4.692867256208711e-08, + "loss": 0.6909, + "step": 32597 + }, + { + "epoch": 0.96, + "learning_rate": 4.6863663584329474e-08, + "loss": 0.9151, + "step": 32598 + }, + { + "epoch": 0.96, + "learning_rate": 4.679869945333648e-08, + "loss": 0.6311, + "step": 32599 + }, + { + "epoch": 0.96, + "learning_rate": 4.673378016969654e-08, + "loss": 0.686, + "step": 32600 + }, + { + "epoch": 0.96, + "learning_rate": 4.6668905733996406e-08, + "loss": 0.7371, + "step": 32601 + }, + { + "epoch": 0.96, + "learning_rate": 4.6604076146824495e-08, + "loss": 0.521, + "step": 32602 + }, + { + "epoch": 0.96, + "learning_rate": 4.653929140876756e-08, + "loss": 0.7097, + "step": 32603 + }, + { + "epoch": 0.96, + "learning_rate": 4.6474551520411805e-08, + "loss": 0.7831, + "step": 32604 + }, + { + "epoch": 0.96, + "learning_rate": 4.640985648234286e-08, + "loss": 0.6831, + "step": 32605 + }, + { + "epoch": 0.96, + "learning_rate": 4.6345206295148606e-08, + "loss": 1.1369, + "step": 32606 + }, + { + "epoch": 0.96, + "learning_rate": 4.628060095941189e-08, + "loss": 0.5567, + "step": 32607 + }, + { + "epoch": 0.96, + "learning_rate": 4.621604047571948e-08, + "loss": 0.7383, + "step": 32608 + }, + { + "epoch": 0.96, + "learning_rate": 4.615152484465479e-08, + "loss": 0.8807, + "step": 32609 + }, + { + "epoch": 0.96, + "learning_rate": 4.608705406680292e-08, + "loss": 0.7836, + "step": 32610 + }, + { + "epoch": 0.96, + "learning_rate": 4.602262814274672e-08, + "loss": 0.7146, + "step": 32611 + }, + { + "epoch": 0.96, + "learning_rate": 4.5958247073070174e-08, + "loss": 0.4738, + "step": 32612 + }, + { + "epoch": 0.96, + "learning_rate": 4.589391085835559e-08, + "loss": 0.6317, + "step": 32613 + }, + { + "epoch": 0.96, + "learning_rate": 4.582961949918585e-08, + "loss": 0.5802, + "step": 32614 + }, + { + "epoch": 0.96, + "learning_rate": 4.57653729961427e-08, + "loss": 0.8881, + "step": 32615 + }, + { + "epoch": 0.96, + "learning_rate": 4.5701171349808446e-08, + "loss": 0.6343, + "step": 32616 + }, + { + "epoch": 0.96, + "learning_rate": 4.5637014560764304e-08, + "loss": 0.5069, + "step": 32617 + }, + { + "epoch": 0.96, + "learning_rate": 4.557290262959091e-08, + "loss": 0.6154, + "step": 32618 + }, + { + "epoch": 0.96, + "learning_rate": 4.550883555686891e-08, + "loss": 0.8963, + "step": 32619 + }, + { + "epoch": 0.96, + "learning_rate": 4.544481334317785e-08, + "loss": 0.5741, + "step": 32620 + }, + { + "epoch": 0.96, + "learning_rate": 4.538083598909837e-08, + "loss": 0.513, + "step": 32621 + }, + { + "epoch": 0.96, + "learning_rate": 4.531690349520834e-08, + "loss": 0.619, + "step": 32622 + }, + { + "epoch": 0.96, + "learning_rate": 4.525301586208841e-08, + "loss": 0.7424, + "step": 32623 + }, + { + "epoch": 0.96, + "learning_rate": 4.518917309031534e-08, + "loss": 0.7573, + "step": 32624 + }, + { + "epoch": 0.96, + "learning_rate": 4.512537518046811e-08, + "loss": 1.0623, + "step": 32625 + }, + { + "epoch": 0.96, + "learning_rate": 4.506162213312404e-08, + "loss": 0.5679, + "step": 32626 + }, + { + "epoch": 0.96, + "learning_rate": 4.499791394886099e-08, + "loss": 0.683, + "step": 32627 + }, + { + "epoch": 0.96, + "learning_rate": 4.493425062825518e-08, + "loss": 0.7761, + "step": 32628 + }, + { + "epoch": 0.96, + "learning_rate": 4.487063217188281e-08, + "loss": 1.1746, + "step": 32629 + }, + { + "epoch": 0.96, + "learning_rate": 4.4807058580320084e-08, + "loss": 0.5126, + "step": 32630 + }, + { + "epoch": 0.96, + "learning_rate": 4.4743529854143205e-08, + "loss": 0.8053, + "step": 32631 + }, + { + "epoch": 0.96, + "learning_rate": 4.468004599392672e-08, + "loss": 0.6715, + "step": 32632 + }, + { + "epoch": 0.96, + "learning_rate": 4.461660700024628e-08, + "loss": 0.9626, + "step": 32633 + }, + { + "epoch": 0.96, + "learning_rate": 4.455321287367476e-08, + "loss": 0.7933, + "step": 32634 + }, + { + "epoch": 0.96, + "learning_rate": 4.448986361478724e-08, + "loss": 0.6736, + "step": 32635 + }, + { + "epoch": 0.96, + "learning_rate": 4.442655922415717e-08, + "loss": 0.8983, + "step": 32636 + }, + { + "epoch": 0.96, + "learning_rate": 4.436329970235742e-08, + "loss": 0.816, + "step": 32637 + }, + { + "epoch": 0.96, + "learning_rate": 4.430008504996086e-08, + "loss": 0.838, + "step": 32638 + }, + { + "epoch": 0.96, + "learning_rate": 4.423691526754037e-08, + "loss": 0.7925, + "step": 32639 + }, + { + "epoch": 0.96, + "learning_rate": 4.417379035566716e-08, + "loss": 0.5384, + "step": 32640 + }, + { + "epoch": 0.96, + "learning_rate": 4.4110710314912984e-08, + "loss": 0.5115, + "step": 32641 + }, + { + "epoch": 0.96, + "learning_rate": 4.404767514584962e-08, + "loss": 0.7907, + "step": 32642 + }, + { + "epoch": 0.96, + "learning_rate": 4.398468484904661e-08, + "loss": 0.6498, + "step": 32643 + }, + { + "epoch": 0.96, + "learning_rate": 4.3921739425075716e-08, + "loss": 0.8539, + "step": 32644 + }, + { + "epoch": 0.96, + "learning_rate": 4.385883887450537e-08, + "loss": 0.6227, + "step": 32645 + }, + { + "epoch": 0.96, + "learning_rate": 4.379598319790623e-08, + "loss": 0.6253, + "step": 32646 + }, + { + "epoch": 0.96, + "learning_rate": 4.3733172395846733e-08, + "loss": 0.726, + "step": 32647 + }, + { + "epoch": 0.96, + "learning_rate": 4.3670406468895864e-08, + "loss": 0.9116, + "step": 32648 + }, + { + "epoch": 0.96, + "learning_rate": 4.360768541762206e-08, + "loss": 0.7463, + "step": 32649 + }, + { + "epoch": 0.96, + "learning_rate": 4.354500924259264e-08, + "loss": 0.8254, + "step": 32650 + }, + { + "epoch": 0.96, + "learning_rate": 4.348237794437604e-08, + "loss": 0.8604, + "step": 32651 + }, + { + "epoch": 0.96, + "learning_rate": 4.341979152353848e-08, + "loss": 0.7228, + "step": 32652 + }, + { + "epoch": 0.96, + "learning_rate": 4.335724998064672e-08, + "loss": 0.529, + "step": 32653 + }, + { + "epoch": 0.96, + "learning_rate": 4.329475331626753e-08, + "loss": 0.8574, + "step": 32654 + }, + { + "epoch": 0.96, + "learning_rate": 4.323230153096658e-08, + "loss": 0.7065, + "step": 32655 + }, + { + "epoch": 0.96, + "learning_rate": 4.31698946253084e-08, + "loss": 0.752, + "step": 32656 + }, + { + "epoch": 0.96, + "learning_rate": 4.310753259985978e-08, + "loss": 0.751, + "step": 32657 + }, + { + "epoch": 0.96, + "learning_rate": 4.304521545518414e-08, + "loss": 0.6662, + "step": 32658 + }, + { + "epoch": 0.96, + "learning_rate": 4.298294319184604e-08, + "loss": 0.3631, + "step": 32659 + }, + { + "epoch": 0.96, + "learning_rate": 4.2920715810408906e-08, + "loss": 0.8715, + "step": 32660 + }, + { + "epoch": 0.96, + "learning_rate": 4.28585333114373e-08, + "loss": 0.6127, + "step": 32661 + }, + { + "epoch": 0.96, + "learning_rate": 4.279639569549299e-08, + "loss": 0.6484, + "step": 32662 + }, + { + "epoch": 0.96, + "learning_rate": 4.273430296313885e-08, + "loss": 0.7095, + "step": 32663 + }, + { + "epoch": 0.96, + "learning_rate": 4.267225511493722e-08, + "loss": 0.536, + "step": 32664 + }, + { + "epoch": 0.96, + "learning_rate": 4.261025215145043e-08, + "loss": 0.5661, + "step": 32665 + }, + { + "epoch": 0.96, + "learning_rate": 4.2548294073239127e-08, + "loss": 0.6185, + "step": 32666 + }, + { + "epoch": 0.96, + "learning_rate": 4.2486380880864544e-08, + "loss": 0.6265, + "step": 32667 + }, + { + "epoch": 0.96, + "learning_rate": 4.242451257488733e-08, + "loss": 0.8717, + "step": 32668 + }, + { + "epoch": 0.96, + "learning_rate": 4.236268915586761e-08, + "loss": 0.988, + "step": 32669 + }, + { + "epoch": 0.96, + "learning_rate": 4.230091062436492e-08, + "loss": 0.6179, + "step": 32670 + }, + { + "epoch": 0.96, + "learning_rate": 4.2239176980939375e-08, + "loss": 0.6786, + "step": 32671 + }, + { + "epoch": 0.96, + "learning_rate": 4.217748822614887e-08, + "loss": 0.8234, + "step": 32672 + }, + { + "epoch": 0.96, + "learning_rate": 4.211584436055238e-08, + "loss": 0.8603, + "step": 32673 + }, + { + "epoch": 0.96, + "learning_rate": 4.205424538470837e-08, + "loss": 0.5429, + "step": 32674 + }, + { + "epoch": 0.96, + "learning_rate": 4.199269129917416e-08, + "loss": 1.0082, + "step": 32675 + }, + { + "epoch": 0.96, + "learning_rate": 4.193118210450764e-08, + "loss": 0.6561, + "step": 32676 + }, + { + "epoch": 0.96, + "learning_rate": 4.1869717801265034e-08, + "loss": 0.864, + "step": 32677 + }, + { + "epoch": 0.96, + "learning_rate": 4.180829839000311e-08, + "loss": 0.6336, + "step": 32678 + }, + { + "epoch": 0.96, + "learning_rate": 4.17469238712781e-08, + "loss": 0.8102, + "step": 32679 + }, + { + "epoch": 0.96, + "learning_rate": 4.1685594245645666e-08, + "loss": 0.7628, + "step": 32680 + }, + { + "epoch": 0.96, + "learning_rate": 4.1624309513660365e-08, + "loss": 0.5774, + "step": 32681 + }, + { + "epoch": 0.96, + "learning_rate": 4.1563069675878974e-08, + "loss": 0.7593, + "step": 32682 + }, + { + "epoch": 0.96, + "learning_rate": 4.150187473285383e-08, + "loss": 0.6769, + "step": 32683 + }, + { + "epoch": 0.96, + "learning_rate": 4.144072468514004e-08, + "loss": 0.5944, + "step": 32684 + }, + { + "epoch": 0.96, + "learning_rate": 4.137961953329106e-08, + "loss": 0.4633, + "step": 32685 + }, + { + "epoch": 0.96, + "learning_rate": 4.1318559277860327e-08, + "loss": 0.6381, + "step": 32686 + }, + { + "epoch": 0.96, + "learning_rate": 4.125754391940073e-08, + "loss": 0.6986, + "step": 32687 + }, + { + "epoch": 0.96, + "learning_rate": 4.119657345846517e-08, + "loss": 0.93, + "step": 32688 + }, + { + "epoch": 0.96, + "learning_rate": 4.113564789560431e-08, + "loss": 0.7563, + "step": 32689 + }, + { + "epoch": 0.96, + "learning_rate": 4.107476723137105e-08, + "loss": 0.9513, + "step": 32690 + }, + { + "epoch": 0.96, + "learning_rate": 4.1013931466315494e-08, + "loss": 0.9064, + "step": 32691 + }, + { + "epoch": 0.96, + "learning_rate": 4.095314060098998e-08, + "loss": 0.8655, + "step": 32692 + }, + { + "epoch": 0.96, + "learning_rate": 4.089239463594352e-08, + "loss": 0.7755, + "step": 32693 + }, + { + "epoch": 0.96, + "learning_rate": 4.083169357172678e-08, + "loss": 0.5797, + "step": 32694 + }, + { + "epoch": 0.96, + "learning_rate": 4.077103740888932e-08, + "loss": 0.8617, + "step": 32695 + }, + { + "epoch": 0.96, + "learning_rate": 4.071042614798015e-08, + "loss": 0.5267, + "step": 32696 + }, + { + "epoch": 0.96, + "learning_rate": 4.064985978954828e-08, + "loss": 0.7722, + "step": 32697 + }, + { + "epoch": 0.96, + "learning_rate": 4.058933833414158e-08, + "loss": 0.603, + "step": 32698 + }, + { + "epoch": 0.96, + "learning_rate": 4.052886178230908e-08, + "loss": 0.6065, + "step": 32699 + }, + { + "epoch": 0.96, + "learning_rate": 4.046843013459756e-08, + "loss": 0.6029, + "step": 32700 + }, + { + "epoch": 0.96, + "learning_rate": 4.0408043391553795e-08, + "loss": 0.8268, + "step": 32701 + }, + { + "epoch": 0.96, + "learning_rate": 4.034770155372569e-08, + "loss": 0.9461, + "step": 32702 + }, + { + "epoch": 0.96, + "learning_rate": 4.028740462165892e-08, + "loss": 0.4379, + "step": 32703 + }, + { + "epoch": 0.96, + "learning_rate": 4.02271525958986e-08, + "loss": 0.6257, + "step": 32704 + }, + { + "epoch": 0.96, + "learning_rate": 4.016694547699207e-08, + "loss": 0.7347, + "step": 32705 + }, + { + "epoch": 0.96, + "learning_rate": 4.010678326548279e-08, + "loss": 0.7727, + "step": 32706 + }, + { + "epoch": 0.96, + "learning_rate": 4.0046665961916976e-08, + "loss": 0.7874, + "step": 32707 + }, + { + "epoch": 0.96, + "learning_rate": 3.998659356683754e-08, + "loss": 0.7349, + "step": 32708 + }, + { + "epoch": 0.96, + "learning_rate": 3.99265660807896e-08, + "loss": 0.574, + "step": 32709 + }, + { + "epoch": 0.96, + "learning_rate": 3.9866583504315494e-08, + "loss": 0.6503, + "step": 32710 + }, + { + "epoch": 0.96, + "learning_rate": 3.9806645837959236e-08, + "loss": 0.7806, + "step": 32711 + }, + { + "epoch": 0.96, + "learning_rate": 3.974675308226317e-08, + "loss": 0.605, + "step": 32712 + }, + { + "epoch": 0.96, + "learning_rate": 3.9686905237769635e-08, + "loss": 0.8016, + "step": 32713 + }, + { + "epoch": 0.96, + "learning_rate": 3.962710230502042e-08, + "loss": 0.6153, + "step": 32714 + }, + { + "epoch": 0.96, + "learning_rate": 3.956734428455677e-08, + "loss": 0.7547, + "step": 32715 + }, + { + "epoch": 0.96, + "learning_rate": 3.950763117692047e-08, + "loss": 0.6284, + "step": 32716 + }, + { + "epoch": 0.96, + "learning_rate": 3.944796298265108e-08, + "loss": 0.6943, + "step": 32717 + }, + { + "epoch": 0.96, + "learning_rate": 3.938833970229039e-08, + "loss": 0.6609, + "step": 32718 + }, + { + "epoch": 0.96, + "learning_rate": 3.932876133637686e-08, + "loss": 0.5052, + "step": 32719 + }, + { + "epoch": 0.96, + "learning_rate": 3.9269227885450625e-08, + "loss": 0.9672, + "step": 32720 + }, + { + "epoch": 0.96, + "learning_rate": 3.920973935005013e-08, + "loss": 0.6108, + "step": 32721 + }, + { + "epoch": 0.96, + "learning_rate": 3.915029573071438e-08, + "loss": 0.6541, + "step": 32722 + }, + { + "epoch": 0.96, + "learning_rate": 3.909089702798186e-08, + "loss": 0.989, + "step": 32723 + }, + { + "epoch": 0.96, + "learning_rate": 3.903154324238989e-08, + "loss": 0.7664, + "step": 32724 + }, + { + "epoch": 0.96, + "learning_rate": 3.8972234374475835e-08, + "loss": 0.8124, + "step": 32725 + }, + { + "epoch": 0.96, + "learning_rate": 3.8912970424777596e-08, + "loss": 0.7061, + "step": 32726 + }, + { + "epoch": 0.96, + "learning_rate": 3.88537513938303e-08, + "loss": 0.7862, + "step": 32727 + }, + { + "epoch": 0.96, + "learning_rate": 3.8794577282171283e-08, + "loss": 0.9007, + "step": 32728 + }, + { + "epoch": 0.96, + "learning_rate": 3.873544809033625e-08, + "loss": 0.7393, + "step": 32729 + }, + { + "epoch": 0.96, + "learning_rate": 3.867636381886031e-08, + "loss": 0.7092, + "step": 32730 + }, + { + "epoch": 0.96, + "learning_rate": 3.861732446827804e-08, + "loss": 0.44, + "step": 32731 + }, + { + "epoch": 0.96, + "learning_rate": 3.855833003912457e-08, + "loss": 1.0156, + "step": 32732 + }, + { + "epoch": 0.96, + "learning_rate": 3.8499380531933364e-08, + "loss": 0.862, + "step": 32733 + }, + { + "epoch": 0.96, + "learning_rate": 3.8440475947238984e-08, + "loss": 0.5999, + "step": 32734 + }, + { + "epoch": 0.96, + "learning_rate": 3.8381616285574355e-08, + "loss": 0.8422, + "step": 32735 + }, + { + "epoch": 0.96, + "learning_rate": 3.8322801547472365e-08, + "loss": 0.8071, + "step": 32736 + }, + { + "epoch": 0.96, + "learning_rate": 3.826403173346594e-08, + "loss": 0.855, + "step": 32737 + }, + { + "epoch": 0.96, + "learning_rate": 3.8205306844086856e-08, + "loss": 0.7532, + "step": 32738 + }, + { + "epoch": 0.96, + "learning_rate": 3.814662687986692e-08, + "loss": 0.7415, + "step": 32739 + }, + { + "epoch": 0.96, + "learning_rate": 3.8087991841336826e-08, + "loss": 0.8766, + "step": 32740 + }, + { + "epoch": 0.96, + "learning_rate": 3.802940172902891e-08, + "loss": 0.7039, + "step": 32741 + }, + { + "epoch": 0.96, + "learning_rate": 3.7970856543471655e-08, + "loss": 0.6829, + "step": 32742 + }, + { + "epoch": 0.96, + "learning_rate": 3.791235628519685e-08, + "loss": 0.6675, + "step": 32743 + }, + { + "epoch": 0.96, + "learning_rate": 3.7853900954733515e-08, + "loss": 0.6475, + "step": 32744 + }, + { + "epoch": 0.96, + "learning_rate": 3.779549055261067e-08, + "loss": 1.0257, + "step": 32745 + }, + { + "epoch": 0.96, + "learning_rate": 3.7737125079357894e-08, + "loss": 0.7236, + "step": 32746 + }, + { + "epoch": 0.96, + "learning_rate": 3.7678804535503096e-08, + "loss": 0.6263, + "step": 32747 + }, + { + "epoch": 0.96, + "learning_rate": 3.7620528921574194e-08, + "loss": 0.7182, + "step": 32748 + }, + { + "epoch": 0.96, + "learning_rate": 3.756229823809965e-08, + "loss": 0.9778, + "step": 32749 + }, + { + "epoch": 0.96, + "learning_rate": 3.75041124856057e-08, + "loss": 0.6537, + "step": 32750 + }, + { + "epoch": 0.96, + "learning_rate": 3.744597166461972e-08, + "loss": 0.5004, + "step": 32751 + }, + { + "epoch": 0.96, + "learning_rate": 3.7387875775667933e-08, + "loss": 0.7741, + "step": 32752 + }, + { + "epoch": 0.96, + "learning_rate": 3.732982481927605e-08, + "loss": 0.5501, + "step": 32753 + }, + { + "epoch": 0.96, + "learning_rate": 3.7271818795970307e-08, + "loss": 0.6765, + "step": 32754 + }, + { + "epoch": 0.96, + "learning_rate": 3.7213857706275833e-08, + "loss": 0.4711, + "step": 32755 + }, + { + "epoch": 0.96, + "learning_rate": 3.715594155071722e-08, + "loss": 0.6949, + "step": 32756 + }, + { + "epoch": 0.96, + "learning_rate": 3.709807032981849e-08, + "loss": 0.4694, + "step": 32757 + }, + { + "epoch": 0.96, + "learning_rate": 3.704024404410478e-08, + "loss": 0.5412, + "step": 32758 + }, + { + "epoch": 0.96, + "learning_rate": 3.698246269409789e-08, + "loss": 0.6512, + "step": 32759 + }, + { + "epoch": 0.96, + "learning_rate": 3.6924726280322953e-08, + "loss": 0.6885, + "step": 32760 + }, + { + "epoch": 0.96, + "learning_rate": 3.6867034803301225e-08, + "loss": 0.6644, + "step": 32761 + }, + { + "epoch": 0.96, + "learning_rate": 3.6809388263555625e-08, + "loss": 1.0463, + "step": 32762 + }, + { + "epoch": 0.96, + "learning_rate": 3.675178666160739e-08, + "loss": 0.6862, + "step": 32763 + }, + { + "epoch": 0.96, + "learning_rate": 3.669422999798e-08, + "loss": 0.8421, + "step": 32764 + }, + { + "epoch": 0.96, + "learning_rate": 3.6636718273192486e-08, + "loss": 0.9601, + "step": 32765 + }, + { + "epoch": 0.96, + "learning_rate": 3.6579251487766646e-08, + "loss": 0.6085, + "step": 32766 + }, + { + "epoch": 0.96, + "learning_rate": 3.6521829642222064e-08, + "loss": 0.7302, + "step": 32767 + }, + { + "epoch": 0.96, + "learning_rate": 3.646445273707999e-08, + "loss": 0.6649, + "step": 32768 + }, + { + "epoch": 0.96, + "learning_rate": 3.640712077285835e-08, + "loss": 0.6055, + "step": 32769 + }, + { + "epoch": 0.96, + "learning_rate": 3.634983375007728e-08, + "loss": 0.6532, + "step": 32770 + }, + { + "epoch": 0.96, + "learning_rate": 3.629259166925469e-08, + "loss": 0.5329, + "step": 32771 + }, + { + "epoch": 0.96, + "learning_rate": 3.6235394530910186e-08, + "loss": 0.5775, + "step": 32772 + }, + { + "epoch": 0.96, + "learning_rate": 3.6178242335559996e-08, + "loss": 0.6004, + "step": 32773 + }, + { + "epoch": 0.96, + "learning_rate": 3.612113508372261e-08, + "loss": 0.7911, + "step": 32774 + }, + { + "epoch": 0.96, + "learning_rate": 3.606407277591484e-08, + "loss": 0.7164, + "step": 32775 + }, + { + "epoch": 0.96, + "learning_rate": 3.600705541265348e-08, + "loss": 0.7411, + "step": 32776 + }, + { + "epoch": 0.96, + "learning_rate": 3.595008299445424e-08, + "loss": 0.7233, + "step": 32777 + }, + { + "epoch": 0.96, + "learning_rate": 3.589315552183392e-08, + "loss": 0.697, + "step": 32778 + }, + { + "epoch": 0.96, + "learning_rate": 3.583627299530712e-08, + "loss": 0.5713, + "step": 32779 + }, + { + "epoch": 0.96, + "learning_rate": 3.5779435415388976e-08, + "loss": 0.6806, + "step": 32780 + }, + { + "epoch": 0.96, + "learning_rate": 3.572264278259463e-08, + "loss": 0.7836, + "step": 32781 + }, + { + "epoch": 0.96, + "learning_rate": 3.566589509743756e-08, + "loss": 0.6957, + "step": 32782 + }, + { + "epoch": 0.96, + "learning_rate": 3.5609192360432365e-08, + "loss": 0.504, + "step": 32783 + }, + { + "epoch": 0.96, + "learning_rate": 3.5552534572091404e-08, + "loss": 0.6068, + "step": 32784 + }, + { + "epoch": 0.96, + "learning_rate": 3.549592173292871e-08, + "loss": 0.6084, + "step": 32785 + }, + { + "epoch": 0.96, + "learning_rate": 3.543935384345665e-08, + "loss": 0.81, + "step": 32786 + }, + { + "epoch": 0.96, + "learning_rate": 3.5382830904187037e-08, + "loss": 0.978, + "step": 32787 + }, + { + "epoch": 0.96, + "learning_rate": 3.532635291563169e-08, + "loss": 0.6482, + "step": 32788 + }, + { + "epoch": 0.96, + "learning_rate": 3.526991987830186e-08, + "loss": 0.7849, + "step": 32789 + }, + { + "epoch": 0.96, + "learning_rate": 3.521353179270937e-08, + "loss": 0.6997, + "step": 32790 + }, + { + "epoch": 0.96, + "learning_rate": 3.5157188659363794e-08, + "loss": 1.0299, + "step": 32791 + }, + { + "epoch": 0.96, + "learning_rate": 3.51008904787753e-08, + "loss": 0.7871, + "step": 32792 + }, + { + "epoch": 0.96, + "learning_rate": 3.504463725145402e-08, + "loss": 0.6778, + "step": 32793 + }, + { + "epoch": 0.96, + "learning_rate": 3.498842897790955e-08, + "loss": 0.6191, + "step": 32794 + }, + { + "epoch": 0.96, + "learning_rate": 3.493226565865038e-08, + "loss": 0.7536, + "step": 32795 + }, + { + "epoch": 0.96, + "learning_rate": 3.487614729418498e-08, + "loss": 0.6807, + "step": 32796 + }, + { + "epoch": 0.96, + "learning_rate": 3.482007388502184e-08, + "loss": 0.7505, + "step": 32797 + }, + { + "epoch": 0.96, + "learning_rate": 3.4764045431668336e-08, + "loss": 0.8595, + "step": 32798 + }, + { + "epoch": 0.96, + "learning_rate": 3.470806193463183e-08, + "loss": 0.7315, + "step": 32799 + }, + { + "epoch": 0.96, + "learning_rate": 3.465212339441859e-08, + "loss": 0.5856, + "step": 32800 + }, + { + "epoch": 0.96, + "learning_rate": 3.459622981153654e-08, + "loss": 0.6299, + "step": 32801 + }, + { + "epoch": 0.96, + "learning_rate": 3.454038118649028e-08, + "loss": 0.4257, + "step": 32802 + }, + { + "epoch": 0.96, + "learning_rate": 3.448457751978662e-08, + "loss": 0.7643, + "step": 32803 + }, + { + "epoch": 0.96, + "learning_rate": 3.4428818811930167e-08, + "loss": 0.9146, + "step": 32804 + }, + { + "epoch": 0.96, + "learning_rate": 3.437310506342606e-08, + "loss": 0.4976, + "step": 32805 + }, + { + "epoch": 0.96, + "learning_rate": 3.431743627477835e-08, + "loss": 0.6055, + "step": 32806 + }, + { + "epoch": 0.96, + "learning_rate": 3.4261812446491626e-08, + "loss": 0.5885, + "step": 32807 + }, + { + "epoch": 0.96, + "learning_rate": 3.420623357906938e-08, + "loss": 0.7326, + "step": 32808 + }, + { + "epoch": 0.96, + "learning_rate": 3.4150699673013985e-08, + "loss": 0.5807, + "step": 32809 + }, + { + "epoch": 0.96, + "learning_rate": 3.409521072882949e-08, + "loss": 0.7011, + "step": 32810 + }, + { + "epoch": 0.96, + "learning_rate": 3.4039766747017696e-08, + "loss": 0.6645, + "step": 32811 + }, + { + "epoch": 0.96, + "learning_rate": 3.398436772808045e-08, + "loss": 0.7018, + "step": 32812 + }, + { + "epoch": 0.96, + "learning_rate": 3.392901367251955e-08, + "loss": 0.7801, + "step": 32813 + }, + { + "epoch": 0.96, + "learning_rate": 3.3873704580836275e-08, + "loss": 0.697, + "step": 32814 + }, + { + "epoch": 0.96, + "learning_rate": 3.381844045353133e-08, + "loss": 0.5777, + "step": 32815 + }, + { + "epoch": 0.96, + "learning_rate": 3.376322129110543e-08, + "loss": 0.6569, + "step": 32816 + }, + { + "epoch": 0.96, + "learning_rate": 3.370804709405817e-08, + "loss": 0.4655, + "step": 32817 + }, + { + "epoch": 0.96, + "learning_rate": 3.365291786288915e-08, + "loss": 0.5997, + "step": 32818 + }, + { + "epoch": 0.96, + "learning_rate": 3.3597833598096876e-08, + "loss": 0.5371, + "step": 32819 + }, + { + "epoch": 0.96, + "learning_rate": 3.354279430018148e-08, + "loss": 0.7915, + "step": 32820 + }, + { + "epoch": 0.96, + "learning_rate": 3.348779996964036e-08, + "loss": 0.7649, + "step": 32821 + }, + { + "epoch": 0.96, + "learning_rate": 3.343285060697143e-08, + "loss": 0.8838, + "step": 32822 + }, + { + "epoch": 0.96, + "learning_rate": 3.3377946212672654e-08, + "loss": 0.8134, + "step": 32823 + }, + { + "epoch": 0.96, + "learning_rate": 3.332308678724028e-08, + "loss": 0.7215, + "step": 32824 + }, + { + "epoch": 0.96, + "learning_rate": 3.32682723311728e-08, + "loss": 0.6352, + "step": 32825 + }, + { + "epoch": 0.96, + "learning_rate": 3.3213502844964277e-08, + "loss": 0.5377, + "step": 32826 + }, + { + "epoch": 0.96, + "learning_rate": 3.315877832911263e-08, + "loss": 0.7093, + "step": 32827 + }, + { + "epoch": 0.96, + "learning_rate": 3.3104098784111913e-08, + "loss": 0.7883, + "step": 32828 + }, + { + "epoch": 0.96, + "learning_rate": 3.304946421045785e-08, + "loss": 0.6935, + "step": 32829 + }, + { + "epoch": 0.96, + "learning_rate": 3.2994874608644476e-08, + "loss": 0.5766, + "step": 32830 + }, + { + "epoch": 0.96, + "learning_rate": 3.294032997916752e-08, + "loss": 0.7267, + "step": 32831 + }, + { + "epoch": 0.96, + "learning_rate": 3.28858303225188e-08, + "loss": 0.8275, + "step": 32832 + }, + { + "epoch": 0.96, + "learning_rate": 3.283137563919348e-08, + "loss": 0.5909, + "step": 32833 + }, + { + "epoch": 0.96, + "learning_rate": 3.2776965929683936e-08, + "loss": 0.6027, + "step": 32834 + }, + { + "epoch": 0.96, + "learning_rate": 3.272260119448256e-08, + "loss": 0.8272, + "step": 32835 + }, + { + "epoch": 0.96, + "learning_rate": 3.2668281434082295e-08, + "loss": 0.7983, + "step": 32836 + }, + { + "epoch": 0.96, + "learning_rate": 3.261400664897441e-08, + "loss": 0.7499, + "step": 32837 + }, + { + "epoch": 0.96, + "learning_rate": 3.255977683965017e-08, + "loss": 0.6978, + "step": 32838 + }, + { + "epoch": 0.96, + "learning_rate": 3.2505592006600864e-08, + "loss": 0.8943, + "step": 32839 + }, + { + "epoch": 0.96, + "learning_rate": 3.2451452150317196e-08, + "loss": 0.6177, + "step": 32840 + }, + { + "epoch": 0.96, + "learning_rate": 3.239735727128934e-08, + "loss": 0.8576, + "step": 32841 + }, + { + "epoch": 0.96, + "learning_rate": 3.2343307370006903e-08, + "loss": 0.7551, + "step": 32842 + }, + { + "epoch": 0.96, + "learning_rate": 3.228930244695949e-08, + "loss": 0.6124, + "step": 32843 + }, + { + "epoch": 0.96, + "learning_rate": 3.223534250263616e-08, + "loss": 0.9531, + "step": 32844 + }, + { + "epoch": 0.96, + "learning_rate": 3.218142753752485e-08, + "loss": 0.6152, + "step": 32845 + }, + { + "epoch": 0.96, + "learning_rate": 3.212755755211405e-08, + "loss": 0.6497, + "step": 32846 + }, + { + "epoch": 0.97, + "learning_rate": 3.207373254689172e-08, + "loss": 0.645, + "step": 32847 + }, + { + "epoch": 0.97, + "learning_rate": 3.201995252234524e-08, + "loss": 0.5947, + "step": 32848 + }, + { + "epoch": 0.97, + "learning_rate": 3.196621747896089e-08, + "loss": 0.8251, + "step": 32849 + }, + { + "epoch": 0.97, + "learning_rate": 3.191252741722606e-08, + "loss": 0.6436, + "step": 32850 + }, + { + "epoch": 0.97, + "learning_rate": 3.185888233762646e-08, + "loss": 0.5568, + "step": 32851 + }, + { + "epoch": 0.97, + "learning_rate": 3.180528224064783e-08, + "loss": 0.6085, + "step": 32852 + }, + { + "epoch": 0.97, + "learning_rate": 3.175172712677532e-08, + "loss": 0.6589, + "step": 32853 + }, + { + "epoch": 0.97, + "learning_rate": 3.1698216996494114e-08, + "loss": 0.819, + "step": 32854 + }, + { + "epoch": 0.97, + "learning_rate": 3.164475185028826e-08, + "loss": 0.5305, + "step": 32855 + }, + { + "epoch": 0.97, + "learning_rate": 3.1591331688642926e-08, + "loss": 0.7812, + "step": 32856 + }, + { + "epoch": 0.97, + "learning_rate": 3.15379565120405e-08, + "loss": 0.8197, + "step": 32857 + }, + { + "epoch": 0.97, + "learning_rate": 3.1484626320964494e-08, + "loss": 0.8771, + "step": 32858 + }, + { + "epoch": 0.97, + "learning_rate": 3.1431341115898405e-08, + "loss": 0.7131, + "step": 32859 + }, + { + "epoch": 0.97, + "learning_rate": 3.1378100897324625e-08, + "loss": 0.6563, + "step": 32860 + }, + { + "epoch": 0.97, + "learning_rate": 3.132490566572444e-08, + "loss": 0.7096, + "step": 32861 + }, + { + "epoch": 0.97, + "learning_rate": 3.127175542158023e-08, + "loss": 1.0201, + "step": 32862 + }, + { + "epoch": 0.97, + "learning_rate": 3.121865016537273e-08, + "loss": 0.9411, + "step": 32863 + }, + { + "epoch": 0.97, + "learning_rate": 3.1165589897583226e-08, + "loss": 0.8127, + "step": 32864 + }, + { + "epoch": 0.97, + "learning_rate": 3.111257461869188e-08, + "loss": 0.7831, + "step": 32865 + }, + { + "epoch": 0.97, + "learning_rate": 3.1059604329178875e-08, + "loss": 0.4762, + "step": 32866 + }, + { + "epoch": 0.97, + "learning_rate": 3.100667902952381e-08, + "loss": 0.5432, + "step": 32867 + }, + { + "epoch": 0.97, + "learning_rate": 3.095379872020521e-08, + "loss": 0.9623, + "step": 32868 + }, + { + "epoch": 0.97, + "learning_rate": 3.090096340170268e-08, + "loss": 0.6665, + "step": 32869 + }, + { + "epoch": 0.97, + "learning_rate": 3.084817307449417e-08, + "loss": 0.7144, + "step": 32870 + }, + { + "epoch": 0.97, + "learning_rate": 3.079542773905819e-08, + "loss": 0.7943, + "step": 32871 + }, + { + "epoch": 0.97, + "learning_rate": 3.074272739587158e-08, + "loss": 0.7, + "step": 32872 + }, + { + "epoch": 0.97, + "learning_rate": 3.069007204541175e-08, + "loss": 0.8419, + "step": 32873 + }, + { + "epoch": 0.97, + "learning_rate": 3.0637461688156066e-08, + "loss": 0.6586, + "step": 32874 + }, + { + "epoch": 0.97, + "learning_rate": 3.058489632457973e-08, + "loss": 0.6223, + "step": 32875 + }, + { + "epoch": 0.97, + "learning_rate": 3.0532375955159564e-08, + "loss": 0.8142, + "step": 32876 + }, + { + "epoch": 0.97, + "learning_rate": 3.047990058037131e-08, + "loss": 0.901, + "step": 32877 + }, + { + "epoch": 0.97, + "learning_rate": 3.0427470200689034e-08, + "loss": 0.6228, + "step": 32878 + }, + { + "epoch": 0.97, + "learning_rate": 3.0375084816588465e-08, + "loss": 0.7963, + "step": 32879 + }, + { + "epoch": 0.97, + "learning_rate": 3.03227444285431e-08, + "loss": 0.8282, + "step": 32880 + }, + { + "epoch": 0.97, + "learning_rate": 3.027044903702758e-08, + "loss": 0.5546, + "step": 32881 + }, + { + "epoch": 0.97, + "learning_rate": 3.0218198642514854e-08, + "loss": 0.7144, + "step": 32882 + }, + { + "epoch": 0.97, + "learning_rate": 3.0165993245477865e-08, + "loss": 0.654, + "step": 32883 + }, + { + "epoch": 0.97, + "learning_rate": 3.0113832846390136e-08, + "loss": 0.6674, + "step": 32884 + }, + { + "epoch": 0.97, + "learning_rate": 3.00617174457235e-08, + "loss": 0.7071, + "step": 32885 + }, + { + "epoch": 0.97, + "learning_rate": 3.000964704394982e-08, + "loss": 0.6643, + "step": 32886 + }, + { + "epoch": 0.97, + "learning_rate": 2.9957621641539814e-08, + "loss": 0.8307, + "step": 32887 + }, + { + "epoch": 0.97, + "learning_rate": 2.9905641238965886e-08, + "loss": 0.9777, + "step": 32888 + }, + { + "epoch": 0.97, + "learning_rate": 2.985370583669767e-08, + "loss": 0.9983, + "step": 32889 + }, + { + "epoch": 0.97, + "learning_rate": 2.9801815435205884e-08, + "loss": 0.9813, + "step": 32890 + }, + { + "epoch": 0.97, + "learning_rate": 2.9749970034959606e-08, + "loss": 0.9146, + "step": 32891 + }, + { + "epoch": 0.97, + "learning_rate": 2.9698169636429574e-08, + "loss": 0.7711, + "step": 32892 + }, + { + "epoch": 0.97, + "learning_rate": 2.9646414240083742e-08, + "loss": 0.5391, + "step": 32893 + }, + { + "epoch": 0.97, + "learning_rate": 2.9594703846391183e-08, + "loss": 1.0166, + "step": 32894 + }, + { + "epoch": 0.97, + "learning_rate": 2.954303845581985e-08, + "loss": 0.8261, + "step": 32895 + }, + { + "epoch": 0.97, + "learning_rate": 2.9491418068837706e-08, + "loss": 0.7221, + "step": 32896 + }, + { + "epoch": 0.97, + "learning_rate": 2.9439842685912157e-08, + "loss": 0.6703, + "step": 32897 + }, + { + "epoch": 0.97, + "learning_rate": 2.938831230751005e-08, + "loss": 0.8373, + "step": 32898 + }, + { + "epoch": 0.97, + "learning_rate": 2.9336826934097675e-08, + "loss": 0.6248, + "step": 32899 + }, + { + "epoch": 0.97, + "learning_rate": 2.928538656614188e-08, + "loss": 0.8205, + "step": 32900 + }, + { + "epoch": 0.97, + "learning_rate": 2.9233991204107858e-08, + "loss": 0.5404, + "step": 32901 + }, + { + "epoch": 0.97, + "learning_rate": 2.918264084846134e-08, + "loss": 0.6533, + "step": 32902 + }, + { + "epoch": 0.97, + "learning_rate": 2.9131335499666958e-08, + "loss": 0.7067, + "step": 32903 + }, + { + "epoch": 0.97, + "learning_rate": 2.9080075158189336e-08, + "loss": 0.7767, + "step": 32904 + }, + { + "epoch": 0.97, + "learning_rate": 2.902885982449255e-08, + "loss": 0.5842, + "step": 32905 + }, + { + "epoch": 0.97, + "learning_rate": 2.8977689499040674e-08, + "loss": 0.6175, + "step": 32906 + }, + { + "epoch": 0.97, + "learning_rate": 2.892656418229667e-08, + "loss": 0.7931, + "step": 32907 + }, + { + "epoch": 0.97, + "learning_rate": 2.887548387472294e-08, + "loss": 0.839, + "step": 32908 + }, + { + "epoch": 0.97, + "learning_rate": 2.8824448576783013e-08, + "loss": 0.7307, + "step": 32909 + }, + { + "epoch": 0.97, + "learning_rate": 2.8773458288938184e-08, + "loss": 0.6768, + "step": 32910 + }, + { + "epoch": 0.97, + "learning_rate": 2.87225130116503e-08, + "loss": 0.7403, + "step": 32911 + }, + { + "epoch": 0.97, + "learning_rate": 2.8671612745381217e-08, + "loss": 0.5334, + "step": 32912 + }, + { + "epoch": 0.97, + "learning_rate": 2.862075749059112e-08, + "loss": 0.3926, + "step": 32913 + }, + { + "epoch": 0.97, + "learning_rate": 2.856994724774076e-08, + "loss": 0.6901, + "step": 32914 + }, + { + "epoch": 0.97, + "learning_rate": 2.851918201728976e-08, + "loss": 0.6982, + "step": 32915 + }, + { + "epoch": 0.97, + "learning_rate": 2.846846179969831e-08, + "loss": 0.6255, + "step": 32916 + }, + { + "epoch": 0.97, + "learning_rate": 2.841778659542549e-08, + "loss": 0.598, + "step": 32917 + }, + { + "epoch": 0.97, + "learning_rate": 2.8367156404930372e-08, + "loss": 0.7442, + "step": 32918 + }, + { + "epoch": 0.97, + "learning_rate": 2.831657122867093e-08, + "loss": 0.6951, + "step": 32919 + }, + { + "epoch": 0.97, + "learning_rate": 2.826603106710457e-08, + "loss": 0.6097, + "step": 32920 + }, + { + "epoch": 0.97, + "learning_rate": 2.8215535920690373e-08, + "loss": 0.5841, + "step": 32921 + }, + { + "epoch": 0.97, + "learning_rate": 2.816508578988464e-08, + "loss": 0.5639, + "step": 32922 + }, + { + "epoch": 0.97, + "learning_rate": 2.8114680675144225e-08, + "loss": 0.8129, + "step": 32923 + }, + { + "epoch": 0.97, + "learning_rate": 2.8064320576925984e-08, + "loss": 0.6569, + "step": 32924 + }, + { + "epoch": 0.97, + "learning_rate": 2.8014005495685114e-08, + "loss": 0.5807, + "step": 32925 + }, + { + "epoch": 0.97, + "learning_rate": 2.796373543187736e-08, + "loss": 0.6227, + "step": 32926 + }, + { + "epoch": 0.97, + "learning_rate": 2.7913510385958464e-08, + "loss": 0.5728, + "step": 32927 + }, + { + "epoch": 0.97, + "learning_rate": 2.786333035838251e-08, + "loss": 0.9504, + "step": 32928 + }, + { + "epoch": 0.97, + "learning_rate": 2.781319534960414e-08, + "loss": 0.5531, + "step": 32929 + }, + { + "epoch": 0.97, + "learning_rate": 2.7763105360077424e-08, + "loss": 0.4094, + "step": 32930 + }, + { + "epoch": 0.97, + "learning_rate": 2.7713060390255896e-08, + "loss": 0.7808, + "step": 32931 + }, + { + "epoch": 0.97, + "learning_rate": 2.766306044059197e-08, + "loss": 0.605, + "step": 32932 + }, + { + "epoch": 0.97, + "learning_rate": 2.7613105511539172e-08, + "loss": 0.7796, + "step": 32933 + }, + { + "epoch": 0.97, + "learning_rate": 2.7563195603549918e-08, + "loss": 0.4319, + "step": 32934 + }, + { + "epoch": 0.97, + "learning_rate": 2.7513330717075513e-08, + "loss": 0.4689, + "step": 32935 + }, + { + "epoch": 0.97, + "learning_rate": 2.7463510852567265e-08, + "loss": 0.6165, + "step": 32936 + }, + { + "epoch": 0.97, + "learning_rate": 2.741373601047703e-08, + "loss": 0.6403, + "step": 32937 + }, + { + "epoch": 0.97, + "learning_rate": 2.736400619125501e-08, + "loss": 0.5899, + "step": 32938 + }, + { + "epoch": 0.97, + "learning_rate": 2.7314321395351396e-08, + "loss": 0.8891, + "step": 32939 + }, + { + "epoch": 0.97, + "learning_rate": 2.7264681623215827e-08, + "loss": 0.8927, + "step": 32940 + }, + { + "epoch": 0.97, + "learning_rate": 2.7215086875299056e-08, + "loss": 0.531, + "step": 32941 + }, + { + "epoch": 0.97, + "learning_rate": 2.7165537152048503e-08, + "loss": 0.5377, + "step": 32942 + }, + { + "epoch": 0.97, + "learning_rate": 2.711603245391381e-08, + "loss": 0.6694, + "step": 32943 + }, + { + "epoch": 0.97, + "learning_rate": 2.706657278134239e-08, + "loss": 0.5643, + "step": 32944 + }, + { + "epoch": 0.97, + "learning_rate": 2.7017158134782785e-08, + "loss": 0.8587, + "step": 32945 + }, + { + "epoch": 0.97, + "learning_rate": 2.6967788514682404e-08, + "loss": 0.7965, + "step": 32946 + }, + { + "epoch": 0.97, + "learning_rate": 2.6918463921488115e-08, + "loss": 0.7565, + "step": 32947 + }, + { + "epoch": 0.97, + "learning_rate": 2.6869184355645672e-08, + "loss": 0.6256, + "step": 32948 + }, + { + "epoch": 0.97, + "learning_rate": 2.6819949817603054e-08, + "loss": 0.9456, + "step": 32949 + }, + { + "epoch": 0.97, + "learning_rate": 2.677076030780379e-08, + "loss": 0.8362, + "step": 32950 + }, + { + "epoch": 0.97, + "learning_rate": 2.67216158266953e-08, + "loss": 0.4017, + "step": 32951 + }, + { + "epoch": 0.97, + "learning_rate": 2.667251637472168e-08, + "loss": 0.6573, + "step": 32952 + }, + { + "epoch": 0.97, + "learning_rate": 2.6623461952327012e-08, + "loss": 0.725, + "step": 32953 + }, + { + "epoch": 0.97, + "learning_rate": 2.65744525599565e-08, + "loss": 0.7009, + "step": 32954 + }, + { + "epoch": 0.97, + "learning_rate": 2.652548819805312e-08, + "loss": 0.8284, + "step": 32955 + }, + { + "epoch": 0.97, + "learning_rate": 2.6476568867060403e-08, + "loss": 0.6659, + "step": 32956 + }, + { + "epoch": 0.97, + "learning_rate": 2.6427694567421335e-08, + "loss": 0.6213, + "step": 32957 + }, + { + "epoch": 0.97, + "learning_rate": 2.637886529957834e-08, + "loss": 0.9528, + "step": 32958 + }, + { + "epoch": 0.97, + "learning_rate": 2.633008106397328e-08, + "loss": 0.8606, + "step": 32959 + }, + { + "epoch": 0.97, + "learning_rate": 2.628134186104858e-08, + "loss": 0.6366, + "step": 32960 + }, + { + "epoch": 0.97, + "learning_rate": 2.623264769124445e-08, + "loss": 0.6114, + "step": 32961 + }, + { + "epoch": 0.97, + "learning_rate": 2.6183998555003308e-08, + "loss": 0.699, + "step": 32962 + }, + { + "epoch": 0.97, + "learning_rate": 2.6135394452764252e-08, + "loss": 0.7602, + "step": 32963 + }, + { + "epoch": 0.97, + "learning_rate": 2.6086835384968035e-08, + "loss": 0.6562, + "step": 32964 + }, + { + "epoch": 0.97, + "learning_rate": 2.6038321352054307e-08, + "loss": 0.6125, + "step": 32965 + }, + { + "epoch": 0.97, + "learning_rate": 2.5989852354462164e-08, + "loss": 0.7193, + "step": 32966 + }, + { + "epoch": 0.97, + "learning_rate": 2.594142839263014e-08, + "loss": 0.9084, + "step": 32967 + }, + { + "epoch": 0.97, + "learning_rate": 2.5893049466996777e-08, + "loss": 0.5605, + "step": 32968 + }, + { + "epoch": 0.97, + "learning_rate": 2.584471557800061e-08, + "loss": 0.727, + "step": 32969 + }, + { + "epoch": 0.97, + "learning_rate": 2.5796426726079073e-08, + "loss": 0.6762, + "step": 32970 + }, + { + "epoch": 0.97, + "learning_rate": 2.5748182911669027e-08, + "loss": 0.6806, + "step": 32971 + }, + { + "epoch": 0.97, + "learning_rate": 2.5699984135207912e-08, + "loss": 0.9181, + "step": 32972 + }, + { + "epoch": 0.97, + "learning_rate": 2.5651830397131482e-08, + "loss": 0.6109, + "step": 32973 + }, + { + "epoch": 0.97, + "learning_rate": 2.5603721697876615e-08, + "loss": 0.8847, + "step": 32974 + }, + { + "epoch": 0.97, + "learning_rate": 2.5555658037877405e-08, + "loss": 0.6257, + "step": 32975 + }, + { + "epoch": 0.97, + "learning_rate": 2.550763941757073e-08, + "loss": 0.8002, + "step": 32976 + }, + { + "epoch": 0.97, + "learning_rate": 2.5459665837390122e-08, + "loss": 0.7515, + "step": 32977 + }, + { + "epoch": 0.97, + "learning_rate": 2.5411737297770245e-08, + "loss": 0.8979, + "step": 32978 + }, + { + "epoch": 0.97, + "learning_rate": 2.536385379914519e-08, + "loss": 0.7792, + "step": 32979 + }, + { + "epoch": 0.97, + "learning_rate": 2.5316015341948496e-08, + "loss": 0.7071, + "step": 32980 + }, + { + "epoch": 0.97, + "learning_rate": 2.526822192661371e-08, + "loss": 0.6814, + "step": 32981 + }, + { + "epoch": 0.97, + "learning_rate": 2.522047355357271e-08, + "loss": 0.6864, + "step": 32982 + }, + { + "epoch": 0.97, + "learning_rate": 2.5172770223258482e-08, + "loss": 0.7464, + "step": 32983 + }, + { + "epoch": 0.97, + "learning_rate": 2.5125111936102896e-08, + "loss": 0.669, + "step": 32984 + }, + { + "epoch": 0.97, + "learning_rate": 2.5077498692537284e-08, + "loss": 0.6028, + "step": 32985 + }, + { + "epoch": 0.97, + "learning_rate": 2.5029930492992406e-08, + "loss": 0.7648, + "step": 32986 + }, + { + "epoch": 0.97, + "learning_rate": 2.4982407337899583e-08, + "loss": 0.6792, + "step": 32987 + }, + { + "epoch": 0.97, + "learning_rate": 2.4934929227688477e-08, + "loss": 0.7167, + "step": 32988 + }, + { + "epoch": 0.97, + "learning_rate": 2.488749616278985e-08, + "loss": 0.6227, + "step": 32989 + }, + { + "epoch": 0.97, + "learning_rate": 2.4840108143632248e-08, + "loss": 0.7921, + "step": 32990 + }, + { + "epoch": 0.97, + "learning_rate": 2.479276517064533e-08, + "loss": 0.8894, + "step": 32991 + }, + { + "epoch": 0.97, + "learning_rate": 2.4745467244257082e-08, + "loss": 0.8492, + "step": 32992 + }, + { + "epoch": 0.97, + "learning_rate": 2.469821436489661e-08, + "loss": 0.6248, + "step": 32993 + }, + { + "epoch": 0.97, + "learning_rate": 2.465100653299135e-08, + "loss": 0.6144, + "step": 32994 + }, + { + "epoch": 0.97, + "learning_rate": 2.4603843748968736e-08, + "loss": 0.7204, + "step": 32995 + }, + { + "epoch": 0.97, + "learning_rate": 2.4556726013255094e-08, + "loss": 0.7354, + "step": 32996 + }, + { + "epoch": 0.97, + "learning_rate": 2.4509653326278416e-08, + "loss": 0.8223, + "step": 32997 + }, + { + "epoch": 0.97, + "learning_rate": 2.446262568846447e-08, + "loss": 0.373, + "step": 32998 + }, + { + "epoch": 0.97, + "learning_rate": 2.441564310023792e-08, + "loss": 0.6713, + "step": 32999 + }, + { + "epoch": 0.97, + "learning_rate": 2.436870556202564e-08, + "loss": 0.7046, + "step": 33000 + }, + { + "epoch": 0.97, + "learning_rate": 2.43218130742523e-08, + "loss": 0.7657, + "step": 33001 + }, + { + "epoch": 0.97, + "learning_rate": 2.427496563734144e-08, + "loss": 0.5356, + "step": 33002 + }, + { + "epoch": 0.97, + "learning_rate": 2.4228163251718283e-08, + "loss": 0.6253, + "step": 33003 + }, + { + "epoch": 0.97, + "learning_rate": 2.4181405917806378e-08, + "loss": 0.4313, + "step": 33004 + }, + { + "epoch": 0.97, + "learning_rate": 2.413469363602927e-08, + "loss": 0.7811, + "step": 33005 + }, + { + "epoch": 0.97, + "learning_rate": 2.4088026406809406e-08, + "loss": 0.6505, + "step": 33006 + }, + { + "epoch": 0.97, + "learning_rate": 2.404140423056922e-08, + "loss": 0.4973, + "step": 33007 + }, + { + "epoch": 0.97, + "learning_rate": 2.3994827107731155e-08, + "loss": 0.6809, + "step": 33008 + }, + { + "epoch": 0.97, + "learning_rate": 2.394829503871654e-08, + "loss": 0.6746, + "step": 33009 + }, + { + "epoch": 0.97, + "learning_rate": 2.3901808023947815e-08, + "loss": 0.6943, + "step": 33010 + }, + { + "epoch": 0.97, + "learning_rate": 2.3855366063844644e-08, + "loss": 0.6668, + "step": 33011 + }, + { + "epoch": 0.97, + "learning_rate": 2.3808969158828354e-08, + "loss": 0.6285, + "step": 33012 + }, + { + "epoch": 0.97, + "learning_rate": 2.3762617309318614e-08, + "loss": 0.7868, + "step": 33013 + }, + { + "epoch": 0.97, + "learning_rate": 2.3716310515735086e-08, + "loss": 0.6593, + "step": 33014 + }, + { + "epoch": 0.97, + "learning_rate": 2.3670048778497435e-08, + "loss": 0.8852, + "step": 33015 + }, + { + "epoch": 0.97, + "learning_rate": 2.3623832098024214e-08, + "loss": 0.3789, + "step": 33016 + }, + { + "epoch": 0.97, + "learning_rate": 2.357766047473342e-08, + "loss": 0.8827, + "step": 33017 + }, + { + "epoch": 0.97, + "learning_rate": 2.3531533909043612e-08, + "loss": 0.61, + "step": 33018 + }, + { + "epoch": 0.97, + "learning_rate": 2.348545240137279e-08, + "loss": 0.6322, + "step": 33019 + }, + { + "epoch": 0.97, + "learning_rate": 2.3439415952137278e-08, + "loss": 0.6243, + "step": 33020 + }, + { + "epoch": 0.97, + "learning_rate": 2.3393424561755085e-08, + "loss": 0.8545, + "step": 33021 + }, + { + "epoch": 0.97, + "learning_rate": 2.334747823064143e-08, + "loss": 0.8947, + "step": 33022 + }, + { + "epoch": 0.97, + "learning_rate": 2.3301576959212647e-08, + "loss": 0.6652, + "step": 33023 + }, + { + "epoch": 0.97, + "learning_rate": 2.3255720747885067e-08, + "loss": 0.8008, + "step": 33024 + }, + { + "epoch": 0.97, + "learning_rate": 2.3209909597073367e-08, + "loss": 0.6674, + "step": 33025 + }, + { + "epoch": 0.97, + "learning_rate": 2.316414350719165e-08, + "loss": 0.9206, + "step": 33026 + }, + { + "epoch": 0.97, + "learning_rate": 2.31184224786557e-08, + "loss": 0.7446, + "step": 33027 + }, + { + "epoch": 0.97, + "learning_rate": 2.3072746511877964e-08, + "loss": 0.6007, + "step": 33028 + }, + { + "epoch": 0.97, + "learning_rate": 2.302711560727311e-08, + "loss": 0.6194, + "step": 33029 + }, + { + "epoch": 0.97, + "learning_rate": 2.298152976525414e-08, + "loss": 0.4942, + "step": 33030 + }, + { + "epoch": 0.97, + "learning_rate": 2.2935988986233505e-08, + "loss": 0.6189, + "step": 33031 + }, + { + "epoch": 0.97, + "learning_rate": 2.289049327062365e-08, + "loss": 0.7969, + "step": 33032 + }, + { + "epoch": 0.97, + "learning_rate": 2.2845042618836465e-08, + "loss": 0.6464, + "step": 33033 + }, + { + "epoch": 0.97, + "learning_rate": 2.2799637031283295e-08, + "loss": 0.7034, + "step": 33034 + }, + { + "epoch": 0.97, + "learning_rate": 2.2754276508376028e-08, + "loss": 0.6766, + "step": 33035 + }, + { + "epoch": 0.97, + "learning_rate": 2.2708961050524337e-08, + "loss": 0.6656, + "step": 33036 + }, + { + "epoch": 0.97, + "learning_rate": 2.2663690658139002e-08, + "loss": 0.6323, + "step": 33037 + }, + { + "epoch": 0.97, + "learning_rate": 2.26184653316297e-08, + "loss": 0.842, + "step": 33038 + }, + { + "epoch": 0.97, + "learning_rate": 2.257328507140666e-08, + "loss": 0.6291, + "step": 33039 + }, + { + "epoch": 0.97, + "learning_rate": 2.252814987787788e-08, + "loss": 0.6327, + "step": 33040 + }, + { + "epoch": 0.97, + "learning_rate": 2.248305975145304e-08, + "loss": 0.8277, + "step": 33041 + }, + { + "epoch": 0.97, + "learning_rate": 2.243801469253959e-08, + "loss": 0.8942, + "step": 33042 + }, + { + "epoch": 0.97, + "learning_rate": 2.2393014701545534e-08, + "loss": 0.7411, + "step": 33043 + }, + { + "epoch": 0.97, + "learning_rate": 2.2348059778878885e-08, + "loss": 0.5474, + "step": 33044 + }, + { + "epoch": 0.97, + "learning_rate": 2.2303149924945422e-08, + "loss": 0.7807, + "step": 33045 + }, + { + "epoch": 0.97, + "learning_rate": 2.2258285140153712e-08, + "loss": 0.5137, + "step": 33046 + }, + { + "epoch": 0.97, + "learning_rate": 2.2213465424907875e-08, + "loss": 0.914, + "step": 33047 + }, + { + "epoch": 0.97, + "learning_rate": 2.2168690779615364e-08, + "loss": 0.7428, + "step": 33048 + }, + { + "epoch": 0.97, + "learning_rate": 2.21239612046803e-08, + "loss": 0.8313, + "step": 33049 + }, + { + "epoch": 0.97, + "learning_rate": 2.2079276700509023e-08, + "loss": 0.2724, + "step": 33050 + }, + { + "epoch": 0.97, + "learning_rate": 2.2034637267504544e-08, + "loss": 0.462, + "step": 33051 + }, + { + "epoch": 0.97, + "learning_rate": 2.199004290607265e-08, + "loss": 0.661, + "step": 33052 + }, + { + "epoch": 0.97, + "learning_rate": 2.19454936166158e-08, + "loss": 0.8008, + "step": 33053 + }, + { + "epoch": 0.97, + "learning_rate": 2.1900989399538108e-08, + "loss": 0.6775, + "step": 33054 + }, + { + "epoch": 0.97, + "learning_rate": 2.1856530255242593e-08, + "loss": 0.6222, + "step": 33055 + }, + { + "epoch": 0.97, + "learning_rate": 2.181211618413115e-08, + "loss": 0.4157, + "step": 33056 + }, + { + "epoch": 0.97, + "learning_rate": 2.1767747186606238e-08, + "loss": 0.8508, + "step": 33057 + }, + { + "epoch": 0.97, + "learning_rate": 2.1723423263069754e-08, + "loss": 0.7008, + "step": 33058 + }, + { + "epoch": 0.97, + "learning_rate": 2.1679144413922493e-08, + "loss": 0.726, + "step": 33059 + }, + { + "epoch": 0.97, + "learning_rate": 2.1634910639566354e-08, + "loss": 0.6699, + "step": 33060 + }, + { + "epoch": 0.97, + "learning_rate": 2.1590721940401017e-08, + "loss": 0.4957, + "step": 33061 + }, + { + "epoch": 0.97, + "learning_rate": 2.1546578316826717e-08, + "loss": 0.8106, + "step": 33062 + }, + { + "epoch": 0.97, + "learning_rate": 2.1502479769243136e-08, + "loss": 0.8748, + "step": 33063 + }, + { + "epoch": 0.97, + "learning_rate": 2.1458426298049394e-08, + "loss": 0.8254, + "step": 33064 + }, + { + "epoch": 0.97, + "learning_rate": 2.1414417903645178e-08, + "loss": 0.8205, + "step": 33065 + }, + { + "epoch": 0.97, + "learning_rate": 2.1370454586427946e-08, + "loss": 0.9745, + "step": 33066 + }, + { + "epoch": 0.97, + "learning_rate": 2.1326536346796267e-08, + "loss": 0.5598, + "step": 33067 + }, + { + "epoch": 0.97, + "learning_rate": 2.12826631851476e-08, + "loss": 0.991, + "step": 33068 + }, + { + "epoch": 0.97, + "learning_rate": 2.123883510187941e-08, + "loss": 0.8157, + "step": 33069 + }, + { + "epoch": 0.97, + "learning_rate": 2.119505209738859e-08, + "loss": 0.5672, + "step": 33070 + }, + { + "epoch": 0.97, + "learning_rate": 2.1151314172070948e-08, + "loss": 0.7086, + "step": 33071 + }, + { + "epoch": 0.97, + "learning_rate": 2.110762132632338e-08, + "loss": 0.6593, + "step": 33072 + }, + { + "epoch": 0.97, + "learning_rate": 2.1063973560540574e-08, + "loss": 0.9957, + "step": 33073 + }, + { + "epoch": 0.97, + "learning_rate": 2.1020370875118324e-08, + "loss": 0.4851, + "step": 33074 + }, + { + "epoch": 0.97, + "learning_rate": 2.097681327045187e-08, + "loss": 0.9613, + "step": 33075 + }, + { + "epoch": 0.97, + "learning_rate": 2.0933300746934226e-08, + "loss": 0.7266, + "step": 33076 + }, + { + "epoch": 0.97, + "learning_rate": 2.0889833304960637e-08, + "loss": 0.7933, + "step": 33077 + }, + { + "epoch": 0.97, + "learning_rate": 2.0846410944923567e-08, + "loss": 0.5395, + "step": 33078 + }, + { + "epoch": 0.97, + "learning_rate": 2.0803033667217142e-08, + "loss": 0.783, + "step": 33079 + }, + { + "epoch": 0.97, + "learning_rate": 2.0759701472233275e-08, + "loss": 1.1381, + "step": 33080 + }, + { + "epoch": 0.97, + "learning_rate": 2.0716414360365533e-08, + "loss": 0.5279, + "step": 33081 + }, + { + "epoch": 0.97, + "learning_rate": 2.067317233200472e-08, + "loss": 0.7053, + "step": 33082 + }, + { + "epoch": 0.97, + "learning_rate": 2.062997538754219e-08, + "loss": 0.8069, + "step": 33083 + }, + { + "epoch": 0.97, + "learning_rate": 2.0586823527370403e-08, + "loss": 0.5792, + "step": 33084 + }, + { + "epoch": 0.97, + "learning_rate": 2.0543716751878494e-08, + "loss": 0.7612, + "step": 33085 + }, + { + "epoch": 0.97, + "learning_rate": 2.0500655061458373e-08, + "loss": 0.5483, + "step": 33086 + }, + { + "epoch": 0.97, + "learning_rate": 2.0457638456498617e-08, + "loss": 0.7358, + "step": 33087 + }, + { + "epoch": 0.97, + "learning_rate": 2.0414666937388917e-08, + "loss": 1.2549, + "step": 33088 + }, + { + "epoch": 0.97, + "learning_rate": 2.0371740504518402e-08, + "loss": 0.7271, + "step": 33089 + }, + { + "epoch": 0.97, + "learning_rate": 2.032885915827676e-08, + "loss": 0.8442, + "step": 33090 + }, + { + "epoch": 0.97, + "learning_rate": 2.0286022899050906e-08, + "loss": 0.5962, + "step": 33091 + }, + { + "epoch": 0.97, + "learning_rate": 2.0243231727229417e-08, + "loss": 0.8283, + "step": 33092 + }, + { + "epoch": 0.97, + "learning_rate": 2.0200485643199208e-08, + "loss": 0.6511, + "step": 33093 + }, + { + "epoch": 0.97, + "learning_rate": 2.0157784647347744e-08, + "loss": 0.7974, + "step": 33094 + }, + { + "epoch": 0.97, + "learning_rate": 2.0115128740061384e-08, + "loss": 0.6978, + "step": 33095 + }, + { + "epoch": 0.97, + "learning_rate": 2.0072517921726485e-08, + "loss": 0.8788, + "step": 33096 + }, + { + "epoch": 0.97, + "learning_rate": 2.0029952192728853e-08, + "loss": 0.4723, + "step": 33097 + }, + { + "epoch": 0.97, + "learning_rate": 1.9987431553454283e-08, + "loss": 0.6767, + "step": 33098 + }, + { + "epoch": 0.97, + "learning_rate": 1.994495600428692e-08, + "loss": 0.7409, + "step": 33099 + }, + { + "epoch": 0.97, + "learning_rate": 1.9902525545612005e-08, + "loss": 0.6145, + "step": 33100 + }, + { + "epoch": 0.97, + "learning_rate": 1.9860140177813126e-08, + "loss": 0.6847, + "step": 33101 + }, + { + "epoch": 0.97, + "learning_rate": 1.981779990127497e-08, + "loss": 0.601, + "step": 33102 + }, + { + "epoch": 0.97, + "learning_rate": 1.9775504716380013e-08, + "loss": 0.5586, + "step": 33103 + }, + { + "epoch": 0.97, + "learning_rate": 1.9733254623511276e-08, + "loss": 1.0731, + "step": 33104 + }, + { + "epoch": 0.97, + "learning_rate": 1.9691049623051793e-08, + "loss": 0.4326, + "step": 33105 + }, + { + "epoch": 0.97, + "learning_rate": 1.9648889715384033e-08, + "loss": 1.0546, + "step": 33106 + }, + { + "epoch": 0.97, + "learning_rate": 1.9606774900888803e-08, + "loss": 0.672, + "step": 33107 + }, + { + "epoch": 0.97, + "learning_rate": 1.9564705179947463e-08, + "loss": 0.6364, + "step": 33108 + }, + { + "epoch": 0.97, + "learning_rate": 1.9522680552941377e-08, + "loss": 0.605, + "step": 33109 + }, + { + "epoch": 0.97, + "learning_rate": 1.9480701020250792e-08, + "loss": 0.6248, + "step": 33110 + }, + { + "epoch": 0.97, + "learning_rate": 1.9438766582255965e-08, + "loss": 0.4904, + "step": 33111 + }, + { + "epoch": 0.97, + "learning_rate": 1.9396877239336586e-08, + "loss": 0.6454, + "step": 33112 + }, + { + "epoch": 0.97, + "learning_rate": 1.9355032991871803e-08, + "loss": 0.518, + "step": 33113 + }, + { + "epoch": 0.97, + "learning_rate": 1.9313233840240753e-08, + "loss": 0.7, + "step": 33114 + }, + { + "epoch": 0.97, + "learning_rate": 1.9271479784821466e-08, + "loss": 0.7518, + "step": 33115 + }, + { + "epoch": 0.97, + "learning_rate": 1.9229770825992533e-08, + "loss": 0.898, + "step": 33116 + }, + { + "epoch": 0.97, + "learning_rate": 1.9188106964130872e-08, + "loss": 0.7045, + "step": 33117 + }, + { + "epoch": 0.97, + "learning_rate": 1.9146488199613956e-08, + "loss": 0.6301, + "step": 33118 + }, + { + "epoch": 0.97, + "learning_rate": 1.9104914532819263e-08, + "loss": 0.4434, + "step": 33119 + }, + { + "epoch": 0.97, + "learning_rate": 1.9063385964122603e-08, + "loss": 0.5027, + "step": 33120 + }, + { + "epoch": 0.97, + "learning_rate": 1.902190249389979e-08, + "loss": 0.6191, + "step": 33121 + }, + { + "epoch": 0.97, + "learning_rate": 1.8980464122527188e-08, + "loss": 0.725, + "step": 33122 + }, + { + "epoch": 0.97, + "learning_rate": 1.8939070850379493e-08, + "loss": 1.0447, + "step": 33123 + }, + { + "epoch": 0.97, + "learning_rate": 1.8897722677831408e-08, + "loss": 0.8411, + "step": 33124 + }, + { + "epoch": 0.97, + "learning_rate": 1.8856419605257082e-08, + "loss": 0.7435, + "step": 33125 + }, + { + "epoch": 0.97, + "learning_rate": 1.881516163303121e-08, + "loss": 0.6821, + "step": 33126 + }, + { + "epoch": 0.97, + "learning_rate": 1.8773948761526827e-08, + "loss": 0.6063, + "step": 33127 + }, + { + "epoch": 0.97, + "learning_rate": 1.873278099111753e-08, + "loss": 0.694, + "step": 33128 + }, + { + "epoch": 0.97, + "learning_rate": 1.869165832217523e-08, + "loss": 0.9549, + "step": 33129 + }, + { + "epoch": 0.97, + "learning_rate": 1.8650580755072977e-08, + "loss": 0.744, + "step": 33130 + }, + { + "epoch": 0.97, + "learning_rate": 1.860954829018269e-08, + "loss": 0.4661, + "step": 33131 + }, + { + "epoch": 0.97, + "learning_rate": 1.8568560927875735e-08, + "loss": 1.1367, + "step": 33132 + }, + { + "epoch": 0.97, + "learning_rate": 1.852761866852293e-08, + "loss": 0.7543, + "step": 33133 + }, + { + "epoch": 0.97, + "learning_rate": 1.8486721512495643e-08, + "loss": 0.6185, + "step": 33134 + }, + { + "epoch": 0.97, + "learning_rate": 1.844586946016358e-08, + "loss": 0.5859, + "step": 33135 + }, + { + "epoch": 0.97, + "learning_rate": 1.8405062511896442e-08, + "loss": 0.8329, + "step": 33136 + }, + { + "epoch": 0.97, + "learning_rate": 1.836430066806394e-08, + "loss": 0.393, + "step": 33137 + }, + { + "epoch": 0.97, + "learning_rate": 1.832358392903577e-08, + "loss": 0.5956, + "step": 33138 + }, + { + "epoch": 0.97, + "learning_rate": 1.8282912295179978e-08, + "loss": 0.84, + "step": 33139 + }, + { + "epoch": 0.97, + "learning_rate": 1.8242285766865154e-08, + "loss": 0.5034, + "step": 33140 + }, + { + "epoch": 0.97, + "learning_rate": 1.820170434445878e-08, + "loss": 0.6772, + "step": 33141 + }, + { + "epoch": 0.97, + "learning_rate": 1.8161168028328345e-08, + "loss": 0.7874, + "step": 33142 + }, + { + "epoch": 0.97, + "learning_rate": 1.8120676818840776e-08, + "loss": 0.9527, + "step": 33143 + }, + { + "epoch": 0.97, + "learning_rate": 1.8080230716363002e-08, + "loss": 0.6559, + "step": 33144 + }, + { + "epoch": 0.97, + "learning_rate": 1.8039829721260836e-08, + "loss": 0.6188, + "step": 33145 + }, + { + "epoch": 0.97, + "learning_rate": 1.799947383390066e-08, + "loss": 0.7245, + "step": 33146 + }, + { + "epoch": 0.97, + "learning_rate": 1.795916305464718e-08, + "loss": 0.7636, + "step": 33147 + }, + { + "epoch": 0.97, + "learning_rate": 1.7918897383866206e-08, + "loss": 0.4959, + "step": 33148 + }, + { + "epoch": 0.97, + "learning_rate": 1.7878676821921905e-08, + "loss": 0.8093, + "step": 33149 + }, + { + "epoch": 0.97, + "learning_rate": 1.7838501369177862e-08, + "loss": 0.6068, + "step": 33150 + }, + { + "epoch": 0.97, + "learning_rate": 1.779837102599824e-08, + "loss": 0.656, + "step": 33151 + }, + { + "epoch": 0.97, + "learning_rate": 1.775828579274719e-08, + "loss": 0.4905, + "step": 33152 + }, + { + "epoch": 0.97, + "learning_rate": 1.7718245669786637e-08, + "loss": 0.7171, + "step": 33153 + }, + { + "epoch": 0.97, + "learning_rate": 1.767825065747908e-08, + "loss": 0.573, + "step": 33154 + }, + { + "epoch": 0.97, + "learning_rate": 1.7638300756187554e-08, + "loss": 0.8966, + "step": 33155 + }, + { + "epoch": 0.97, + "learning_rate": 1.7598395966272885e-08, + "loss": 0.7366, + "step": 33156 + }, + { + "epoch": 0.97, + "learning_rate": 1.7558536288096452e-08, + "loss": 0.9187, + "step": 33157 + }, + { + "epoch": 0.97, + "learning_rate": 1.7518721722019626e-08, + "loss": 0.6564, + "step": 33158 + }, + { + "epoch": 0.97, + "learning_rate": 1.7478952268402684e-08, + "loss": 0.7275, + "step": 33159 + }, + { + "epoch": 0.97, + "learning_rate": 1.7439227927605885e-08, + "loss": 0.7961, + "step": 33160 + }, + { + "epoch": 0.97, + "learning_rate": 1.7399548699988943e-08, + "loss": 0.5665, + "step": 33161 + }, + { + "epoch": 0.97, + "learning_rate": 1.7359914585910464e-08, + "loss": 0.8113, + "step": 33162 + }, + { + "epoch": 0.97, + "learning_rate": 1.7320325585729603e-08, + "loss": 0.4815, + "step": 33163 + }, + { + "epoch": 0.97, + "learning_rate": 1.728078169980496e-08, + "loss": 0.5469, + "step": 33164 + }, + { + "epoch": 0.97, + "learning_rate": 1.724128292849514e-08, + "loss": 0.8026, + "step": 33165 + }, + { + "epoch": 0.97, + "learning_rate": 1.7201829272156523e-08, + "loss": 0.7739, + "step": 33166 + }, + { + "epoch": 0.97, + "learning_rate": 1.716242073114771e-08, + "loss": 0.7086, + "step": 33167 + }, + { + "epoch": 0.97, + "learning_rate": 1.7123057305823974e-08, + "loss": 0.9129, + "step": 33168 + }, + { + "epoch": 0.97, + "learning_rate": 1.7083738996543363e-08, + "loss": 0.8289, + "step": 33169 + }, + { + "epoch": 0.97, + "learning_rate": 1.7044465803660592e-08, + "loss": 0.6933, + "step": 33170 + }, + { + "epoch": 0.97, + "learning_rate": 1.7005237727531486e-08, + "loss": 0.6257, + "step": 33171 + }, + { + "epoch": 0.97, + "learning_rate": 1.6966054768511873e-08, + "loss": 0.8439, + "step": 33172 + }, + { + "epoch": 0.97, + "learning_rate": 1.6926916926955915e-08, + "loss": 0.6408, + "step": 33173 + }, + { + "epoch": 0.97, + "learning_rate": 1.6887824203218327e-08, + "loss": 0.5612, + "step": 33174 + }, + { + "epoch": 0.97, + "learning_rate": 1.6848776597652715e-08, + "loss": 0.7117, + "step": 33175 + }, + { + "epoch": 0.97, + "learning_rate": 1.6809774110613242e-08, + "loss": 0.8824, + "step": 33176 + }, + { + "epoch": 0.97, + "learning_rate": 1.6770816742451847e-08, + "loss": 0.7457, + "step": 33177 + }, + { + "epoch": 0.97, + "learning_rate": 1.6731904493522688e-08, + "loss": 0.4828, + "step": 33178 + }, + { + "epoch": 0.97, + "learning_rate": 1.6693037364177155e-08, + "loss": 0.5846, + "step": 33179 + }, + { + "epoch": 0.97, + "learning_rate": 1.6654215354767743e-08, + "loss": 0.7895, + "step": 33180 + }, + { + "epoch": 0.97, + "learning_rate": 1.6615438465645283e-08, + "loss": 0.6141, + "step": 33181 + }, + { + "epoch": 0.97, + "learning_rate": 1.657670669716116e-08, + "loss": 0.7715, + "step": 33182 + }, + { + "epoch": 0.97, + "learning_rate": 1.6538020049666202e-08, + "loss": 0.6989, + "step": 33183 + }, + { + "epoch": 0.97, + "learning_rate": 1.649937852351069e-08, + "loss": 0.8882, + "step": 33184 + }, + { + "epoch": 0.97, + "learning_rate": 1.6460782119044337e-08, + "loss": 0.6043, + "step": 33185 + }, + { + "epoch": 0.97, + "learning_rate": 1.642223083661687e-08, + "loss": 0.8735, + "step": 33186 + }, + { + "epoch": 0.97, + "learning_rate": 1.6383724676576895e-08, + "loss": 0.5822, + "step": 33187 + }, + { + "epoch": 0.98, + "learning_rate": 1.634526363927358e-08, + "loss": 0.7179, + "step": 33188 + }, + { + "epoch": 0.98, + "learning_rate": 1.6306847725054974e-08, + "loss": 0.499, + "step": 33189 + }, + { + "epoch": 0.98, + "learning_rate": 1.626847693426803e-08, + "loss": 0.732, + "step": 33190 + }, + { + "epoch": 0.98, + "learning_rate": 1.6230151267261906e-08, + "loss": 0.9563, + "step": 33191 + }, + { + "epoch": 0.98, + "learning_rate": 1.6191870724381887e-08, + "loss": 0.4419, + "step": 33192 + }, + { + "epoch": 0.98, + "learning_rate": 1.6153635305976024e-08, + "loss": 0.5695, + "step": 33193 + }, + { + "epoch": 0.98, + "learning_rate": 1.6115445012389596e-08, + "loss": 0.5873, + "step": 33194 + }, + { + "epoch": 0.98, + "learning_rate": 1.607729984396844e-08, + "loss": 0.5707, + "step": 33195 + }, + { + "epoch": 0.98, + "learning_rate": 1.6039199801057838e-08, + "loss": 0.6436, + "step": 33196 + }, + { + "epoch": 0.98, + "learning_rate": 1.6001144884003618e-08, + "loss": 0.7659, + "step": 33197 + }, + { + "epoch": 0.98, + "learning_rate": 1.5963135093149396e-08, + "loss": 0.6107, + "step": 33198 + }, + { + "epoch": 0.98, + "learning_rate": 1.5925170428839897e-08, + "loss": 0.7118, + "step": 33199 + }, + { + "epoch": 0.98, + "learning_rate": 1.588725089141818e-08, + "loss": 0.788, + "step": 33200 + }, + { + "epoch": 0.98, + "learning_rate": 1.5849376481228418e-08, + "loss": 0.7485, + "step": 33201 + }, + { + "epoch": 0.98, + "learning_rate": 1.581154719861311e-08, + "loss": 0.5456, + "step": 33202 + }, + { + "epoch": 0.98, + "learning_rate": 1.5773763043915313e-08, + "loss": 0.6635, + "step": 33203 + }, + { + "epoch": 0.98, + "learning_rate": 1.5736024017475872e-08, + "loss": 0.6332, + "step": 33204 + }, + { + "epoch": 0.98, + "learning_rate": 1.5698330119637285e-08, + "loss": 0.5407, + "step": 33205 + }, + { + "epoch": 0.98, + "learning_rate": 1.5660681350740946e-08, + "loss": 0.5978, + "step": 33206 + }, + { + "epoch": 0.98, + "learning_rate": 1.56230777111277e-08, + "loss": 0.6803, + "step": 33207 + }, + { + "epoch": 0.98, + "learning_rate": 1.5585519201137824e-08, + "loss": 0.7586, + "step": 33208 + }, + { + "epoch": 0.98, + "learning_rate": 1.55480058211116e-08, + "loss": 0.5455, + "step": 33209 + }, + { + "epoch": 0.98, + "learning_rate": 1.5510537571388207e-08, + "loss": 0.6288, + "step": 33210 + }, + { + "epoch": 0.98, + "learning_rate": 1.547311445230737e-08, + "loss": 1.1803, + "step": 33211 + }, + { + "epoch": 0.98, + "learning_rate": 1.5435736464208263e-08, + "loss": 0.9607, + "step": 33212 + }, + { + "epoch": 0.98, + "learning_rate": 1.5398403607428393e-08, + "loss": 0.6564, + "step": 33213 + }, + { + "epoch": 0.98, + "learning_rate": 1.5361115882306375e-08, + "loss": 0.9172, + "step": 33214 + }, + { + "epoch": 0.98, + "learning_rate": 1.532387328917917e-08, + "loss": 0.6548, + "step": 33215 + }, + { + "epoch": 0.98, + "learning_rate": 1.5286675828384834e-08, + "loss": 0.6779, + "step": 33216 + }, + { + "epoch": 0.98, + "learning_rate": 1.5249523500259767e-08, + "loss": 0.5915, + "step": 33217 + }, + { + "epoch": 0.98, + "learning_rate": 1.5212416305140365e-08, + "loss": 0.5876, + "step": 33218 + }, + { + "epoch": 0.98, + "learning_rate": 1.5175354243363027e-08, + "loss": 0.5278, + "step": 33219 + }, + { + "epoch": 0.98, + "learning_rate": 1.5138337315262484e-08, + "loss": 0.7048, + "step": 33220 + }, + { + "epoch": 0.98, + "learning_rate": 1.5101365521174027e-08, + "loss": 0.6728, + "step": 33221 + }, + { + "epoch": 0.98, + "learning_rate": 1.5064438861433496e-08, + "loss": 0.4331, + "step": 33222 + }, + { + "epoch": 0.98, + "learning_rate": 1.5027557336373954e-08, + "loss": 0.9098, + "step": 33223 + }, + { + "epoch": 0.98, + "learning_rate": 1.499072094633014e-08, + "loss": 0.7245, + "step": 33224 + }, + { + "epoch": 0.98, + "learning_rate": 1.4953929691635115e-08, + "loss": 0.7011, + "step": 33225 + }, + { + "epoch": 0.98, + "learning_rate": 1.4917183572621952e-08, + "loss": 0.4959, + "step": 33226 + }, + { + "epoch": 0.98, + "learning_rate": 1.4880482589623712e-08, + "loss": 0.7608, + "step": 33227 + }, + { + "epoch": 0.98, + "learning_rate": 1.4843826742972355e-08, + "loss": 0.8964, + "step": 33228 + }, + { + "epoch": 0.98, + "learning_rate": 1.4807216033000393e-08, + "loss": 0.7314, + "step": 33229 + }, + { + "epoch": 0.98, + "learning_rate": 1.4770650460038671e-08, + "loss": 0.5079, + "step": 33230 + }, + { + "epoch": 0.98, + "learning_rate": 1.4734130024418592e-08, + "loss": 0.7282, + "step": 33231 + }, + { + "epoch": 0.98, + "learning_rate": 1.4697654726470446e-08, + "loss": 0.764, + "step": 33232 + }, + { + "epoch": 0.98, + "learning_rate": 1.4661224566524524e-08, + "loss": 0.6128, + "step": 33233 + }, + { + "epoch": 0.98, + "learning_rate": 1.4624839544911118e-08, + "loss": 0.5462, + "step": 33234 + }, + { + "epoch": 0.98, + "learning_rate": 1.458849966195941e-08, + "loss": 0.7018, + "step": 33235 + }, + { + "epoch": 0.98, + "learning_rate": 1.4552204917998581e-08, + "loss": 0.8542, + "step": 33236 + }, + { + "epoch": 0.98, + "learning_rate": 1.4515955313357254e-08, + "loss": 0.6159, + "step": 33237 + }, + { + "epoch": 0.98, + "learning_rate": 1.447975084836295e-08, + "loss": 0.5611, + "step": 33238 + }, + { + "epoch": 0.98, + "learning_rate": 1.4443591523344292e-08, + "loss": 0.6599, + "step": 33239 + }, + { + "epoch": 0.98, + "learning_rate": 1.4407477338628239e-08, + "loss": 0.6289, + "step": 33240 + }, + { + "epoch": 0.98, + "learning_rate": 1.437140829454231e-08, + "loss": 0.6221, + "step": 33241 + }, + { + "epoch": 0.98, + "learning_rate": 1.433538439141291e-08, + "loss": 0.7637, + "step": 33242 + }, + { + "epoch": 0.98, + "learning_rate": 1.4299405629565332e-08, + "loss": 0.5607, + "step": 33243 + }, + { + "epoch": 0.98, + "learning_rate": 1.426347200932654e-08, + "loss": 0.8954, + "step": 33244 + }, + { + "epoch": 0.98, + "learning_rate": 1.4227583531021271e-08, + "loss": 0.5833, + "step": 33245 + }, + { + "epoch": 0.98, + "learning_rate": 1.4191740194974268e-08, + "loss": 0.8216, + "step": 33246 + }, + { + "epoch": 0.98, + "learning_rate": 1.415594200151027e-08, + "loss": 0.6196, + "step": 33247 + }, + { + "epoch": 0.98, + "learning_rate": 1.4120188950954017e-08, + "loss": 0.5014, + "step": 33248 + }, + { + "epoch": 0.98, + "learning_rate": 1.4084481043628584e-08, + "loss": 0.5434, + "step": 33249 + }, + { + "epoch": 0.98, + "learning_rate": 1.4048818279857046e-08, + "loss": 0.8792, + "step": 33250 + }, + { + "epoch": 0.98, + "learning_rate": 1.4013200659963033e-08, + "loss": 0.6932, + "step": 33251 + }, + { + "epoch": 0.98, + "learning_rate": 1.397762818426851e-08, + "loss": 0.7715, + "step": 33252 + }, + { + "epoch": 0.98, + "learning_rate": 1.3942100853095442e-08, + "loss": 0.7455, + "step": 33253 + }, + { + "epoch": 0.98, + "learning_rate": 1.3906618666765791e-08, + "loss": 0.6405, + "step": 33254 + }, + { + "epoch": 0.98, + "learning_rate": 1.3871181625600971e-08, + "loss": 0.7595, + "step": 33255 + }, + { + "epoch": 0.98, + "learning_rate": 1.3835789729921278e-08, + "loss": 0.6236, + "step": 33256 + }, + { + "epoch": 0.98, + "learning_rate": 1.3800442980048122e-08, + "loss": 0.8676, + "step": 33257 + }, + { + "epoch": 0.98, + "learning_rate": 1.3765141376300695e-08, + "loss": 0.7912, + "step": 33258 + }, + { + "epoch": 0.98, + "learning_rate": 1.3729884918998736e-08, + "loss": 0.6583, + "step": 33259 + }, + { + "epoch": 0.98, + "learning_rate": 1.3694673608461995e-08, + "loss": 0.3863, + "step": 33260 + }, + { + "epoch": 0.98, + "learning_rate": 1.3659507445008546e-08, + "loss": 0.8257, + "step": 33261 + }, + { + "epoch": 0.98, + "learning_rate": 1.3624386428957027e-08, + "loss": 0.5664, + "step": 33262 + }, + { + "epoch": 0.98, + "learning_rate": 1.3589310560625513e-08, + "loss": 0.7149, + "step": 33263 + }, + { + "epoch": 0.98, + "learning_rate": 1.3554279840332086e-08, + "loss": 0.7189, + "step": 33264 + }, + { + "epoch": 0.98, + "learning_rate": 1.3519294268393157e-08, + "loss": 0.6817, + "step": 33265 + }, + { + "epoch": 0.98, + "learning_rate": 1.3484353845125697e-08, + "loss": 0.5928, + "step": 33266 + }, + { + "epoch": 0.98, + "learning_rate": 1.344945857084612e-08, + "loss": 0.6174, + "step": 33267 + }, + { + "epoch": 0.98, + "learning_rate": 1.341460844587028e-08, + "loss": 0.6966, + "step": 33268 + }, + { + "epoch": 0.98, + "learning_rate": 1.3379803470514596e-08, + "loss": 0.7423, + "step": 33269 + }, + { + "epoch": 0.98, + "learning_rate": 1.3345043645092704e-08, + "loss": 0.7359, + "step": 33270 + }, + { + "epoch": 0.98, + "learning_rate": 1.3310328969920461e-08, + "loss": 0.5566, + "step": 33271 + }, + { + "epoch": 0.98, + "learning_rate": 1.3275659445311506e-08, + "loss": 0.5603, + "step": 33272 + }, + { + "epoch": 0.98, + "learning_rate": 1.3241035071580588e-08, + "loss": 0.5368, + "step": 33273 + }, + { + "epoch": 0.98, + "learning_rate": 1.320645584903968e-08, + "loss": 0.7197, + "step": 33274 + }, + { + "epoch": 0.98, + "learning_rate": 1.3171921778003527e-08, + "loss": 0.6216, + "step": 33275 + }, + { + "epoch": 0.98, + "learning_rate": 1.3137432858784104e-08, + "loss": 0.767, + "step": 33276 + }, + { + "epoch": 0.98, + "learning_rate": 1.3102989091693386e-08, + "loss": 0.653, + "step": 33277 + }, + { + "epoch": 0.98, + "learning_rate": 1.3068590477043896e-08, + "loss": 0.751, + "step": 33278 + }, + { + "epoch": 0.98, + "learning_rate": 1.30342370151465e-08, + "loss": 0.8557, + "step": 33279 + }, + { + "epoch": 0.98, + "learning_rate": 1.2999928706312615e-08, + "loss": 0.7574, + "step": 33280 + }, + { + "epoch": 0.98, + "learning_rate": 1.2965665550852547e-08, + "loss": 0.7119, + "step": 33281 + }, + { + "epoch": 0.98, + "learning_rate": 1.2931447549076603e-08, + "loss": 0.7169, + "step": 33282 + }, + { + "epoch": 0.98, + "learning_rate": 1.2897274701295093e-08, + "loss": 0.6556, + "step": 33283 + }, + { + "epoch": 0.98, + "learning_rate": 1.2863147007817212e-08, + "loss": 0.3571, + "step": 33284 + }, + { + "epoch": 0.98, + "learning_rate": 1.2829064468951047e-08, + "loss": 0.5919, + "step": 33285 + }, + { + "epoch": 0.98, + "learning_rate": 1.279502708500635e-08, + "loss": 0.7794, + "step": 33286 + }, + { + "epoch": 0.98, + "learning_rate": 1.276103485629121e-08, + "loss": 0.579, + "step": 33287 + }, + { + "epoch": 0.98, + "learning_rate": 1.2727087783112602e-08, + "loss": 0.7626, + "step": 33288 + }, + { + "epoch": 0.98, + "learning_rate": 1.2693185865778613e-08, + "loss": 0.7988, + "step": 33289 + }, + { + "epoch": 0.98, + "learning_rate": 1.2659329104595663e-08, + "loss": 0.7376, + "step": 33290 + }, + { + "epoch": 0.98, + "learning_rate": 1.2625517499870732e-08, + "loss": 0.8417, + "step": 33291 + }, + { + "epoch": 0.98, + "learning_rate": 1.259175105191024e-08, + "loss": 0.8403, + "step": 33292 + }, + { + "epoch": 0.98, + "learning_rate": 1.2558029761018942e-08, + "loss": 0.8263, + "step": 33293 + }, + { + "epoch": 0.98, + "learning_rate": 1.2524353627502705e-08, + "loss": 0.5249, + "step": 33294 + }, + { + "epoch": 0.98, + "learning_rate": 1.2490722651666287e-08, + "loss": 0.7933, + "step": 33295 + }, + { + "epoch": 0.98, + "learning_rate": 1.2457136833814997e-08, + "loss": 1.0596, + "step": 33296 + }, + { + "epoch": 0.98, + "learning_rate": 1.2423596174251373e-08, + "loss": 0.5635, + "step": 33297 + }, + { + "epoch": 0.98, + "learning_rate": 1.2390100673280726e-08, + "loss": 0.552, + "step": 33298 + }, + { + "epoch": 0.98, + "learning_rate": 1.2356650331205033e-08, + "loss": 0.5661, + "step": 33299 + }, + { + "epoch": 0.98, + "learning_rate": 1.23232451483285e-08, + "loss": 0.7701, + "step": 33300 + }, + { + "epoch": 0.98, + "learning_rate": 1.2289885124951995e-08, + "loss": 0.505, + "step": 33301 + }, + { + "epoch": 0.98, + "learning_rate": 1.2256570261379164e-08, + "loss": 0.6268, + "step": 33302 + }, + { + "epoch": 0.98, + "learning_rate": 1.2223300557910322e-08, + "loss": 0.6227, + "step": 33303 + }, + { + "epoch": 0.98, + "learning_rate": 1.2190076014847452e-08, + "loss": 0.7725, + "step": 33304 + }, + { + "epoch": 0.98, + "learning_rate": 1.2156896632490866e-08, + "loss": 1.1016, + "step": 33305 + }, + { + "epoch": 0.98, + "learning_rate": 1.2123762411141438e-08, + "loss": 0.6139, + "step": 33306 + }, + { + "epoch": 0.98, + "learning_rate": 1.209067335109948e-08, + "loss": 0.9709, + "step": 33307 + }, + { + "epoch": 0.98, + "learning_rate": 1.2057629452663644e-08, + "loss": 0.7174, + "step": 33308 + }, + { + "epoch": 0.98, + "learning_rate": 1.202463071613369e-08, + "loss": 0.7825, + "step": 33309 + }, + { + "epoch": 0.98, + "learning_rate": 1.1991677141808266e-08, + "loss": 0.6733, + "step": 33310 + }, + { + "epoch": 0.98, + "learning_rate": 1.1958768729986026e-08, + "loss": 0.5141, + "step": 33311 + }, + { + "epoch": 0.98, + "learning_rate": 1.192590548096395e-08, + "loss": 0.8623, + "step": 33312 + }, + { + "epoch": 0.98, + "learning_rate": 1.1893087395041247e-08, + "loss": 0.7794, + "step": 33313 + }, + { + "epoch": 0.98, + "learning_rate": 1.186031447251379e-08, + "loss": 0.8708, + "step": 33314 + }, + { + "epoch": 0.98, + "learning_rate": 1.1827586713678008e-08, + "loss": 0.6152, + "step": 33315 + }, + { + "epoch": 0.98, + "learning_rate": 1.179490411883144e-08, + "loss": 0.6538, + "step": 33316 + }, + { + "epoch": 0.98, + "learning_rate": 1.1762266688269408e-08, + "loss": 0.5231, + "step": 33317 + }, + { + "epoch": 0.98, + "learning_rate": 1.1729674422287785e-08, + "loss": 0.8588, + "step": 33318 + }, + { + "epoch": 0.98, + "learning_rate": 1.1697127321180778e-08, + "loss": 0.5351, + "step": 33319 + }, + { + "epoch": 0.98, + "learning_rate": 1.166462538524371e-08, + "loss": 0.6351, + "step": 33320 + }, + { + "epoch": 0.98, + "learning_rate": 1.1632168614771343e-08, + "loss": 0.5069, + "step": 33321 + }, + { + "epoch": 0.98, + "learning_rate": 1.1599757010056223e-08, + "loss": 0.7409, + "step": 33322 + }, + { + "epoch": 0.98, + "learning_rate": 1.156739057139311e-08, + "loss": 0.6924, + "step": 33323 + }, + { + "epoch": 0.98, + "learning_rate": 1.1535069299073997e-08, + "loss": 0.5629, + "step": 33324 + }, + { + "epoch": 0.98, + "learning_rate": 1.1502793193392537e-08, + "loss": 0.6901, + "step": 33325 + }, + { + "epoch": 0.98, + "learning_rate": 1.1470562254640161e-08, + "loss": 0.603, + "step": 33326 + }, + { + "epoch": 0.98, + "learning_rate": 1.143837648310886e-08, + "loss": 0.6227, + "step": 33327 + }, + { + "epoch": 0.98, + "learning_rate": 1.1406235879090622e-08, + "loss": 0.8188, + "step": 33328 + }, + { + "epoch": 0.98, + "learning_rate": 1.1374140442875769e-08, + "loss": 0.6795, + "step": 33329 + }, + { + "epoch": 0.98, + "learning_rate": 1.1342090174755737e-08, + "loss": 0.6556, + "step": 33330 + }, + { + "epoch": 0.98, + "learning_rate": 1.1310085075019184e-08, + "loss": 1.0057, + "step": 33331 + }, + { + "epoch": 0.98, + "learning_rate": 1.1278125143957541e-08, + "loss": 0.4562, + "step": 33332 + }, + { + "epoch": 0.98, + "learning_rate": 1.1246210381858913e-08, + "loss": 0.7932, + "step": 33333 + }, + { + "epoch": 0.98, + "learning_rate": 1.1214340789013068e-08, + "loss": 0.6671, + "step": 33334 + }, + { + "epoch": 0.98, + "learning_rate": 1.1182516365708662e-08, + "loss": 0.5701, + "step": 33335 + }, + { + "epoch": 0.98, + "learning_rate": 1.1150737112233246e-08, + "loss": 0.6635, + "step": 33336 + }, + { + "epoch": 0.98, + "learning_rate": 1.111900302887492e-08, + "loss": 0.5504, + "step": 33337 + }, + { + "epoch": 0.98, + "learning_rate": 1.1087314115920677e-08, + "loss": 0.7466, + "step": 33338 + }, + { + "epoch": 0.98, + "learning_rate": 1.1055670373658067e-08, + "loss": 0.5269, + "step": 33339 + }, + { + "epoch": 0.98, + "learning_rate": 1.102407180237297e-08, + "loss": 0.6905, + "step": 33340 + }, + { + "epoch": 0.98, + "learning_rate": 1.099251840235127e-08, + "loss": 0.7098, + "step": 33341 + }, + { + "epoch": 0.98, + "learning_rate": 1.096101017387996e-08, + "loss": 0.5519, + "step": 33342 + }, + { + "epoch": 0.98, + "learning_rate": 1.0929547117242701e-08, + "loss": 0.8665, + "step": 33343 + }, + { + "epoch": 0.98, + "learning_rate": 1.0898129232725374e-08, + "loss": 0.9284, + "step": 33344 + }, + { + "epoch": 0.98, + "learning_rate": 1.0866756520612198e-08, + "loss": 0.8258, + "step": 33345 + }, + { + "epoch": 0.98, + "learning_rate": 1.083542898118739e-08, + "loss": 0.6185, + "step": 33346 + }, + { + "epoch": 0.98, + "learning_rate": 1.0804146614734612e-08, + "loss": 0.8214, + "step": 33347 + }, + { + "epoch": 0.98, + "learning_rate": 1.0772909421536416e-08, + "loss": 0.7901, + "step": 33348 + }, + { + "epoch": 0.98, + "learning_rate": 1.0741717401876461e-08, + "loss": 1.0829, + "step": 33349 + }, + { + "epoch": 0.98, + "learning_rate": 1.0710570556036748e-08, + "loss": 0.5633, + "step": 33350 + }, + { + "epoch": 0.98, + "learning_rate": 1.0679468884299271e-08, + "loss": 0.8048, + "step": 33351 + }, + { + "epoch": 0.98, + "learning_rate": 1.0648412386946027e-08, + "loss": 0.6433, + "step": 33352 + }, + { + "epoch": 0.98, + "learning_rate": 1.0617401064257903e-08, + "loss": 0.6904, + "step": 33353 + }, + { + "epoch": 0.98, + "learning_rate": 1.0586434916515231e-08, + "loss": 0.9126, + "step": 33354 + }, + { + "epoch": 0.98, + "learning_rate": 1.0555513943999452e-08, + "loss": 0.7877, + "step": 33355 + }, + { + "epoch": 0.98, + "learning_rate": 1.0524638146989785e-08, + "loss": 0.601, + "step": 33356 + }, + { + "epoch": 0.98, + "learning_rate": 1.0493807525765453e-08, + "loss": 0.8473, + "step": 33357 + }, + { + "epoch": 0.98, + "learning_rate": 1.0463022080606788e-08, + "loss": 0.8317, + "step": 33358 + }, + { + "epoch": 0.98, + "learning_rate": 1.0432281811791345e-08, + "loss": 0.6398, + "step": 33359 + }, + { + "epoch": 0.98, + "learning_rate": 1.0401586719598344e-08, + "loss": 0.5223, + "step": 33360 + }, + { + "epoch": 0.98, + "learning_rate": 1.0370936804304787e-08, + "loss": 0.7527, + "step": 33361 + }, + { + "epoch": 0.98, + "learning_rate": 1.034033206618934e-08, + "loss": 0.6349, + "step": 33362 + }, + { + "epoch": 0.98, + "learning_rate": 1.0309772505527894e-08, + "loss": 0.663, + "step": 33363 + }, + { + "epoch": 0.98, + "learning_rate": 1.0279258122598002e-08, + "loss": 0.5109, + "step": 33364 + }, + { + "epoch": 0.98, + "learning_rate": 1.0248788917675556e-08, + "loss": 0.6438, + "step": 33365 + }, + { + "epoch": 0.98, + "learning_rate": 1.0218364891036447e-08, + "loss": 0.7047, + "step": 33366 + }, + { + "epoch": 0.98, + "learning_rate": 1.018798604295601e-08, + "loss": 0.484, + "step": 33367 + }, + { + "epoch": 0.98, + "learning_rate": 1.0157652373710136e-08, + "loss": 0.6942, + "step": 33368 + }, + { + "epoch": 0.98, + "learning_rate": 1.0127363883572495e-08, + "loss": 0.8061, + "step": 33369 + }, + { + "epoch": 0.98, + "learning_rate": 1.0097120572817864e-08, + "loss": 0.4547, + "step": 33370 + }, + { + "epoch": 0.98, + "learning_rate": 1.0066922441719362e-08, + "loss": 0.7871, + "step": 33371 + }, + { + "epoch": 0.98, + "learning_rate": 1.0036769490551768e-08, + "loss": 0.6294, + "step": 33372 + }, + { + "epoch": 0.98, + "learning_rate": 1.000666171958653e-08, + "loss": 0.6874, + "step": 33373 + }, + { + "epoch": 0.98, + "learning_rate": 9.976599129097319e-09, + "loss": 0.723, + "step": 33374 + }, + { + "epoch": 0.98, + "learning_rate": 9.946581719355587e-09, + "loss": 0.6872, + "step": 33375 + }, + { + "epoch": 0.98, + "learning_rate": 9.916609490633889e-09, + "loss": 0.6918, + "step": 33376 + }, + { + "epoch": 0.98, + "learning_rate": 9.886682443203121e-09, + "loss": 0.4547, + "step": 33377 + }, + { + "epoch": 0.98, + "learning_rate": 9.856800577334735e-09, + "loss": 0.712, + "step": 33378 + }, + { + "epoch": 0.98, + "learning_rate": 9.826963893298513e-09, + "loss": 0.9403, + "step": 33379 + }, + { + "epoch": 0.98, + "learning_rate": 9.79717239136535e-09, + "loss": 0.7143, + "step": 33380 + }, + { + "epoch": 0.98, + "learning_rate": 9.767426071804476e-09, + "loss": 0.9818, + "step": 33381 + }, + { + "epoch": 0.98, + "learning_rate": 9.737724934885117e-09, + "loss": 0.6208, + "step": 33382 + }, + { + "epoch": 0.98, + "learning_rate": 9.708068980876506e-09, + "loss": 0.9048, + "step": 33383 + }, + { + "epoch": 0.98, + "learning_rate": 9.678458210047314e-09, + "loss": 0.7067, + "step": 33384 + }, + { + "epoch": 0.98, + "learning_rate": 9.648892622665662e-09, + "loss": 0.7557, + "step": 33385 + }, + { + "epoch": 0.98, + "learning_rate": 9.619372218998556e-09, + "loss": 0.7449, + "step": 33386 + }, + { + "epoch": 0.98, + "learning_rate": 9.589896999314119e-09, + "loss": 0.6721, + "step": 33387 + }, + { + "epoch": 0.98, + "learning_rate": 9.560466963878246e-09, + "loss": 0.7249, + "step": 33388 + }, + { + "epoch": 0.98, + "learning_rate": 9.531082112958501e-09, + "loss": 0.8603, + "step": 33389 + }, + { + "epoch": 0.98, + "learning_rate": 9.501742446820784e-09, + "loss": 0.6057, + "step": 33390 + }, + { + "epoch": 0.98, + "learning_rate": 9.47244796572988e-09, + "loss": 0.825, + "step": 33391 + }, + { + "epoch": 0.98, + "learning_rate": 9.443198669951693e-09, + "loss": 0.7262, + "step": 33392 + }, + { + "epoch": 0.98, + "learning_rate": 9.41399455975045e-09, + "loss": 0.6051, + "step": 33393 + }, + { + "epoch": 0.98, + "learning_rate": 9.384835635391498e-09, + "loss": 0.9021, + "step": 33394 + }, + { + "epoch": 0.98, + "learning_rate": 9.355721897138514e-09, + "loss": 0.5579, + "step": 33395 + }, + { + "epoch": 0.98, + "learning_rate": 9.326653345254621e-09, + "loss": 0.7069, + "step": 33396 + }, + { + "epoch": 0.98, + "learning_rate": 9.297629980004053e-09, + "loss": 0.7284, + "step": 33397 + }, + { + "epoch": 0.98, + "learning_rate": 9.268651801648265e-09, + "loss": 0.5428, + "step": 33398 + }, + { + "epoch": 0.98, + "learning_rate": 9.239718810450382e-09, + "loss": 0.7317, + "step": 33399 + }, + { + "epoch": 0.98, + "learning_rate": 9.210831006672416e-09, + "loss": 0.6992, + "step": 33400 + }, + { + "epoch": 0.98, + "learning_rate": 9.18198839057527e-09, + "loss": 0.5947, + "step": 33401 + }, + { + "epoch": 0.98, + "learning_rate": 9.153190962420955e-09, + "loss": 0.8102, + "step": 33402 + }, + { + "epoch": 0.98, + "learning_rate": 9.124438722469819e-09, + "loss": 0.6874, + "step": 33403 + }, + { + "epoch": 0.98, + "learning_rate": 9.095731670982211e-09, + "loss": 0.6173, + "step": 33404 + }, + { + "epoch": 0.98, + "learning_rate": 9.06706980821792e-09, + "loss": 0.7035, + "step": 33405 + }, + { + "epoch": 0.98, + "learning_rate": 9.038453134436742e-09, + "loss": 0.6572, + "step": 33406 + }, + { + "epoch": 0.98, + "learning_rate": 9.009881649897911e-09, + "loss": 0.6675, + "step": 33407 + }, + { + "epoch": 0.98, + "learning_rate": 8.981355354859555e-09, + "loss": 0.8096, + "step": 33408 + }, + { + "epoch": 0.98, + "learning_rate": 8.952874249580356e-09, + "loss": 0.7382, + "step": 33409 + }, + { + "epoch": 0.98, + "learning_rate": 8.924438334317886e-09, + "loss": 0.6201, + "step": 33410 + }, + { + "epoch": 0.98, + "learning_rate": 8.896047609329717e-09, + "loss": 0.6746, + "step": 33411 + }, + { + "epoch": 0.98, + "learning_rate": 8.867702074872863e-09, + "loss": 0.7569, + "step": 33412 + }, + { + "epoch": 0.98, + "learning_rate": 8.839401731204344e-09, + "loss": 0.8687, + "step": 33413 + }, + { + "epoch": 0.98, + "learning_rate": 8.811146578580066e-09, + "loss": 0.677, + "step": 33414 + }, + { + "epoch": 0.98, + "learning_rate": 8.782936617255933e-09, + "loss": 0.6448, + "step": 33415 + }, + { + "epoch": 0.98, + "learning_rate": 8.754771847487853e-09, + "loss": 0.3782, + "step": 33416 + }, + { + "epoch": 0.98, + "learning_rate": 8.726652269529513e-09, + "loss": 0.6344, + "step": 33417 + }, + { + "epoch": 0.98, + "learning_rate": 8.698577883636816e-09, + "loss": 0.5406, + "step": 33418 + }, + { + "epoch": 0.98, + "learning_rate": 8.670548690063452e-09, + "loss": 0.7459, + "step": 33419 + }, + { + "epoch": 0.98, + "learning_rate": 8.642564689063104e-09, + "loss": 0.6495, + "step": 33420 + }, + { + "epoch": 0.98, + "learning_rate": 8.61462588088946e-09, + "loss": 0.4921, + "step": 33421 + }, + { + "epoch": 0.98, + "learning_rate": 8.586732265795094e-09, + "loss": 0.7355, + "step": 33422 + }, + { + "epoch": 0.98, + "learning_rate": 8.558883844032584e-09, + "loss": 0.6235, + "step": 33423 + }, + { + "epoch": 0.98, + "learning_rate": 8.531080615854503e-09, + "loss": 0.9333, + "step": 33424 + }, + { + "epoch": 0.98, + "learning_rate": 8.503322581512318e-09, + "loss": 0.7545, + "step": 33425 + }, + { + "epoch": 0.98, + "learning_rate": 8.475609741257495e-09, + "loss": 0.7186, + "step": 33426 + }, + { + "epoch": 0.98, + "learning_rate": 8.447942095340944e-09, + "loss": 1.1012, + "step": 33427 + }, + { + "epoch": 0.98, + "learning_rate": 8.42031964401302e-09, + "loss": 0.8703, + "step": 33428 + }, + { + "epoch": 0.98, + "learning_rate": 8.392742387523522e-09, + "loss": 0.6454, + "step": 33429 + }, + { + "epoch": 0.98, + "learning_rate": 8.365210326122807e-09, + "loss": 0.3909, + "step": 33430 + }, + { + "epoch": 0.98, + "learning_rate": 8.337723460059565e-09, + "loss": 0.6338, + "step": 33431 + }, + { + "epoch": 0.98, + "learning_rate": 8.310281789583596e-09, + "loss": 0.7888, + "step": 33432 + }, + { + "epoch": 0.98, + "learning_rate": 8.282885314941925e-09, + "loss": 0.8968, + "step": 33433 + }, + { + "epoch": 0.98, + "learning_rate": 8.255534036383794e-09, + "loss": 0.9335, + "step": 33434 + }, + { + "epoch": 0.98, + "learning_rate": 8.228227954156232e-09, + "loss": 0.5063, + "step": 33435 + }, + { + "epoch": 0.98, + "learning_rate": 8.200967068506815e-09, + "loss": 0.6295, + "step": 33436 + }, + { + "epoch": 0.98, + "learning_rate": 8.173751379682571e-09, + "loss": 0.8366, + "step": 33437 + }, + { + "epoch": 0.98, + "learning_rate": 8.146580887928856e-09, + "loss": 0.9157, + "step": 33438 + }, + { + "epoch": 0.98, + "learning_rate": 8.119455593492697e-09, + "loss": 1.0158, + "step": 33439 + }, + { + "epoch": 0.98, + "learning_rate": 8.092375496619453e-09, + "loss": 1.2294, + "step": 33440 + }, + { + "epoch": 0.98, + "learning_rate": 8.065340597554483e-09, + "loss": 0.789, + "step": 33441 + }, + { + "epoch": 0.98, + "learning_rate": 8.038350896542036e-09, + "loss": 0.6605, + "step": 33442 + }, + { + "epoch": 0.98, + "learning_rate": 8.011406393826915e-09, + "loss": 0.6339, + "step": 33443 + }, + { + "epoch": 0.98, + "learning_rate": 7.984507089652816e-09, + "loss": 0.7333, + "step": 33444 + }, + { + "epoch": 0.98, + "learning_rate": 7.957652984263987e-09, + "loss": 0.478, + "step": 33445 + }, + { + "epoch": 0.98, + "learning_rate": 7.930844077902456e-09, + "loss": 0.8138, + "step": 33446 + }, + { + "epoch": 0.98, + "learning_rate": 7.904080370811362e-09, + "loss": 0.8012, + "step": 33447 + }, + { + "epoch": 0.98, + "learning_rate": 7.877361863233846e-09, + "loss": 0.5587, + "step": 33448 + }, + { + "epoch": 0.98, + "learning_rate": 7.850688555410824e-09, + "loss": 0.6434, + "step": 33449 + }, + { + "epoch": 0.98, + "learning_rate": 7.82406044758377e-09, + "loss": 0.6762, + "step": 33450 + }, + { + "epoch": 0.98, + "learning_rate": 7.797477539994714e-09, + "loss": 0.3729, + "step": 33451 + }, + { + "epoch": 0.98, + "learning_rate": 7.770939832883461e-09, + "loss": 0.8219, + "step": 33452 + }, + { + "epoch": 0.98, + "learning_rate": 7.744447326490378e-09, + "loss": 0.6088, + "step": 33453 + }, + { + "epoch": 0.98, + "learning_rate": 7.718000021055826e-09, + "loss": 0.8522, + "step": 33454 + }, + { + "epoch": 0.98, + "learning_rate": 7.69159791681906e-09, + "loss": 0.8056, + "step": 33455 + }, + { + "epoch": 0.98, + "learning_rate": 7.665241014019332e-09, + "loss": 0.621, + "step": 33456 + }, + { + "epoch": 0.98, + "learning_rate": 7.638929312894783e-09, + "loss": 0.7209, + "step": 33457 + }, + { + "epoch": 0.98, + "learning_rate": 7.612662813683558e-09, + "loss": 0.7596, + "step": 33458 + }, + { + "epoch": 0.98, + "learning_rate": 7.586441516624354e-09, + "loss": 0.6901, + "step": 33459 + }, + { + "epoch": 0.98, + "learning_rate": 7.56026542195365e-09, + "loss": 0.7146, + "step": 33460 + }, + { + "epoch": 0.98, + "learning_rate": 7.534134529909033e-09, + "loss": 0.7629, + "step": 33461 + }, + { + "epoch": 0.98, + "learning_rate": 7.508048840726978e-09, + "loss": 0.9453, + "step": 33462 + }, + { + "epoch": 0.98, + "learning_rate": 7.48200835464341e-09, + "loss": 0.558, + "step": 33463 + }, + { + "epoch": 0.98, + "learning_rate": 7.456013071894252e-09, + "loss": 0.6933, + "step": 33464 + }, + { + "epoch": 0.98, + "learning_rate": 7.43006299271487e-09, + "loss": 0.8731, + "step": 33465 + }, + { + "epoch": 0.98, + "learning_rate": 7.404158117340632e-09, + "loss": 0.8543, + "step": 33466 + }, + { + "epoch": 0.98, + "learning_rate": 7.378298446005239e-09, + "loss": 0.6962, + "step": 33467 + }, + { + "epoch": 0.98, + "learning_rate": 7.352483978943504e-09, + "loss": 0.4663, + "step": 33468 + }, + { + "epoch": 0.98, + "learning_rate": 7.326714716389127e-09, + "loss": 0.7143, + "step": 33469 + }, + { + "epoch": 0.98, + "learning_rate": 7.300990658575258e-09, + "loss": 0.8791, + "step": 33470 + }, + { + "epoch": 0.98, + "learning_rate": 7.275311805734487e-09, + "loss": 0.7975, + "step": 33471 + }, + { + "epoch": 0.98, + "learning_rate": 7.24967815809996e-09, + "loss": 0.7692, + "step": 33472 + }, + { + "epoch": 0.98, + "learning_rate": 7.22408971590316e-09, + "loss": 0.7639, + "step": 33473 + }, + { + "epoch": 0.98, + "learning_rate": 7.198546479376123e-09, + "loss": 0.6587, + "step": 33474 + }, + { + "epoch": 0.98, + "learning_rate": 7.173048448750331e-09, + "loss": 0.4829, + "step": 33475 + }, + { + "epoch": 0.98, + "learning_rate": 7.147595624256154e-09, + "loss": 0.8987, + "step": 33476 + }, + { + "epoch": 0.98, + "learning_rate": 7.122188006123964e-09, + "loss": 0.9428, + "step": 33477 + }, + { + "epoch": 0.98, + "learning_rate": 7.096825594584689e-09, + "loss": 0.5685, + "step": 33478 + }, + { + "epoch": 0.98, + "learning_rate": 7.0715083898670326e-09, + "loss": 0.6844, + "step": 33479 + }, + { + "epoch": 0.98, + "learning_rate": 7.046236392200812e-09, + "loss": 0.6795, + "step": 33480 + }, + { + "epoch": 0.98, + "learning_rate": 7.021009601814177e-09, + "loss": 0.7175, + "step": 33481 + }, + { + "epoch": 0.98, + "learning_rate": 6.99582801893639e-09, + "loss": 0.6833, + "step": 33482 + }, + { + "epoch": 0.98, + "learning_rate": 6.970691643795047e-09, + "loss": 0.9391, + "step": 33483 + }, + { + "epoch": 0.98, + "learning_rate": 6.945600476617187e-09, + "loss": 0.7844, + "step": 33484 + }, + { + "epoch": 0.98, + "learning_rate": 6.920554517630962e-09, + "loss": 0.8015, + "step": 33485 + }, + { + "epoch": 0.98, + "learning_rate": 6.895553767062857e-09, + "loss": 0.6407, + "step": 33486 + }, + { + "epoch": 0.98, + "learning_rate": 6.870598225138802e-09, + "loss": 0.7224, + "step": 33487 + }, + { + "epoch": 0.98, + "learning_rate": 6.845687892085284e-09, + "loss": 0.7475, + "step": 33488 + }, + { + "epoch": 0.98, + "learning_rate": 6.820822768127677e-09, + "loss": 0.6906, + "step": 33489 + }, + { + "epoch": 0.98, + "learning_rate": 6.796002853490802e-09, + "loss": 0.565, + "step": 33490 + }, + { + "epoch": 0.98, + "learning_rate": 6.771228148399478e-09, + "loss": 0.7133, + "step": 33491 + }, + { + "epoch": 0.98, + "learning_rate": 6.746498653077971e-09, + "loss": 0.8954, + "step": 33492 + }, + { + "epoch": 0.98, + "learning_rate": 6.721814367751101e-09, + "loss": 0.7408, + "step": 33493 + }, + { + "epoch": 0.98, + "learning_rate": 6.6971752926409116e-09, + "loss": 0.6772, + "step": 33494 + }, + { + "epoch": 0.98, + "learning_rate": 6.672581427971669e-09, + "loss": 0.6346, + "step": 33495 + }, + { + "epoch": 0.98, + "learning_rate": 6.648032773965418e-09, + "loss": 0.6743, + "step": 33496 + }, + { + "epoch": 0.98, + "learning_rate": 6.623529330844758e-09, + "loss": 0.8314, + "step": 33497 + }, + { + "epoch": 0.98, + "learning_rate": 6.599071098831178e-09, + "loss": 0.776, + "step": 33498 + }, + { + "epoch": 0.98, + "learning_rate": 6.574658078146723e-09, + "loss": 0.7462, + "step": 33499 + }, + { + "epoch": 0.98, + "learning_rate": 6.550290269011772e-09, + "loss": 0.7619, + "step": 33500 + }, + { + "epoch": 0.98, + "learning_rate": 6.52596767164726e-09, + "loss": 0.593, + "step": 33501 + }, + { + "epoch": 0.98, + "learning_rate": 6.501690286273565e-09, + "loss": 0.7336, + "step": 33502 + }, + { + "epoch": 0.98, + "learning_rate": 6.477458113109958e-09, + "loss": 0.8005, + "step": 33503 + }, + { + "epoch": 0.98, + "learning_rate": 6.453271152376261e-09, + "loss": 0.7614, + "step": 33504 + }, + { + "epoch": 0.98, + "learning_rate": 6.4291294042917455e-09, + "loss": 0.8903, + "step": 33505 + }, + { + "epoch": 0.98, + "learning_rate": 6.405032869074568e-09, + "loss": 0.5334, + "step": 33506 + }, + { + "epoch": 0.98, + "learning_rate": 6.380981546942888e-09, + "loss": 0.83, + "step": 33507 + }, + { + "epoch": 0.98, + "learning_rate": 6.356975438114865e-09, + "loss": 0.683, + "step": 33508 + }, + { + "epoch": 0.98, + "learning_rate": 6.333014542806992e-09, + "loss": 0.7628, + "step": 33509 + }, + { + "epoch": 0.98, + "learning_rate": 6.309098861237428e-09, + "loss": 0.8042, + "step": 33510 + }, + { + "epoch": 0.98, + "learning_rate": 6.285228393621556e-09, + "loss": 0.748, + "step": 33511 + }, + { + "epoch": 0.98, + "learning_rate": 6.2614031401764255e-09, + "loss": 0.9224, + "step": 33512 + }, + { + "epoch": 0.98, + "learning_rate": 6.237623101117418e-09, + "loss": 0.7987, + "step": 33513 + }, + { + "epoch": 0.98, + "learning_rate": 6.213888276659363e-09, + "loss": 0.739, + "step": 33514 + }, + { + "epoch": 0.98, + "learning_rate": 6.190198667018199e-09, + "loss": 0.9179, + "step": 33515 + }, + { + "epoch": 0.98, + "learning_rate": 6.166554272407088e-09, + "loss": 0.7767, + "step": 33516 + }, + { + "epoch": 0.98, + "learning_rate": 6.142955093041414e-09, + "loss": 0.7438, + "step": 33517 + }, + { + "epoch": 0.98, + "learning_rate": 6.119401129133784e-09, + "loss": 0.5566, + "step": 33518 + }, + { + "epoch": 0.98, + "learning_rate": 6.0958923808984716e-09, + "loss": 0.6468, + "step": 33519 + }, + { + "epoch": 0.98, + "learning_rate": 6.0724288485475295e-09, + "loss": 0.7295, + "step": 33520 + }, + { + "epoch": 0.98, + "learning_rate": 6.049010532293565e-09, + "loss": 0.5054, + "step": 33521 + }, + { + "epoch": 0.98, + "learning_rate": 6.02563743234863e-09, + "loss": 0.7834, + "step": 33522 + }, + { + "epoch": 0.98, + "learning_rate": 6.0023095489247785e-09, + "loss": 0.7796, + "step": 33523 + }, + { + "epoch": 0.98, + "learning_rate": 5.9790268822329525e-09, + "loss": 0.9189, + "step": 33524 + }, + { + "epoch": 0.98, + "learning_rate": 5.9557894324835386e-09, + "loss": 0.6692, + "step": 33525 + }, + { + "epoch": 0.98, + "learning_rate": 5.93259719988748e-09, + "loss": 0.6438, + "step": 33526 + }, + { + "epoch": 0.98, + "learning_rate": 5.909450184654608e-09, + "loss": 0.735, + "step": 33527 + }, + { + "epoch": 0.99, + "learning_rate": 5.8863483869942e-09, + "loss": 0.5584, + "step": 33528 + }, + { + "epoch": 0.99, + "learning_rate": 5.86329180711609e-09, + "loss": 0.7736, + "step": 33529 + }, + { + "epoch": 0.99, + "learning_rate": 5.8402804452284415e-09, + "loss": 0.8634, + "step": 33530 + }, + { + "epoch": 0.99, + "learning_rate": 5.817314301539423e-09, + "loss": 0.5894, + "step": 33531 + }, + { + "epoch": 0.99, + "learning_rate": 5.794393376257757e-09, + "loss": 0.8674, + "step": 33532 + }, + { + "epoch": 0.99, + "learning_rate": 5.7715176695904986e-09, + "loss": 0.7569, + "step": 33533 + }, + { + "epoch": 0.99, + "learning_rate": 5.748687181744706e-09, + "loss": 0.7178, + "step": 33534 + }, + { + "epoch": 0.99, + "learning_rate": 5.725901912927434e-09, + "loss": 0.7339, + "step": 33535 + }, + { + "epoch": 0.99, + "learning_rate": 5.70316186334463e-09, + "loss": 0.7672, + "step": 33536 + }, + { + "epoch": 0.99, + "learning_rate": 5.680467033202797e-09, + "loss": 0.7843, + "step": 33537 + }, + { + "epoch": 0.99, + "learning_rate": 5.6578174227062135e-09, + "loss": 0.5314, + "step": 33538 + }, + { + "epoch": 0.99, + "learning_rate": 5.635213032061382e-09, + "loss": 0.501, + "step": 33539 + }, + { + "epoch": 0.99, + "learning_rate": 5.612653861472028e-09, + "loss": 0.6779, + "step": 33540 + }, + { + "epoch": 0.99, + "learning_rate": 5.590139911142434e-09, + "loss": 0.7756, + "step": 33541 + }, + { + "epoch": 0.99, + "learning_rate": 5.567671181276879e-09, + "loss": 0.8434, + "step": 33542 + }, + { + "epoch": 0.99, + "learning_rate": 5.5452476720779805e-09, + "loss": 0.8037, + "step": 33543 + }, + { + "epoch": 0.99, + "learning_rate": 5.522869383750018e-09, + "loss": 0.6854, + "step": 33544 + }, + { + "epoch": 0.99, + "learning_rate": 5.500536316495053e-09, + "loss": 0.7904, + "step": 33545 + }, + { + "epoch": 0.99, + "learning_rate": 5.478248470515146e-09, + "loss": 0.5467, + "step": 33546 + }, + { + "epoch": 0.99, + "learning_rate": 5.456005846011803e-09, + "loss": 0.6734, + "step": 33547 + }, + { + "epoch": 0.99, + "learning_rate": 5.433808443187083e-09, + "loss": 0.694, + "step": 33548 + }, + { + "epoch": 0.99, + "learning_rate": 5.4116562622413826e-09, + "loss": 0.884, + "step": 33549 + }, + { + "epoch": 0.99, + "learning_rate": 5.389549303376207e-09, + "loss": 0.634, + "step": 33550 + }, + { + "epoch": 0.99, + "learning_rate": 5.367487566790286e-09, + "loss": 0.6212, + "step": 33551 + }, + { + "epoch": 0.99, + "learning_rate": 5.34547105268457e-09, + "loss": 0.7479, + "step": 33552 + }, + { + "epoch": 0.99, + "learning_rate": 5.323499761257789e-09, + "loss": 0.6926, + "step": 33553 + }, + { + "epoch": 0.99, + "learning_rate": 5.3015736927092275e-09, + "loss": 0.5221, + "step": 33554 + }, + { + "epoch": 0.99, + "learning_rate": 5.279692847237061e-09, + "loss": 0.8936, + "step": 33555 + }, + { + "epoch": 0.99, + "learning_rate": 5.257857225039464e-09, + "loss": 0.6228, + "step": 33556 + }, + { + "epoch": 0.99, + "learning_rate": 5.236066826314612e-09, + "loss": 0.7003, + "step": 33557 + }, + { + "epoch": 0.99, + "learning_rate": 5.214321651259013e-09, + "loss": 0.7304, + "step": 33558 + }, + { + "epoch": 0.99, + "learning_rate": 5.192621700070288e-09, + "loss": 0.3921, + "step": 33559 + }, + { + "epoch": 0.99, + "learning_rate": 5.170966972944946e-09, + "loss": 0.6128, + "step": 33560 + }, + { + "epoch": 0.99, + "learning_rate": 5.149357470077832e-09, + "loss": 0.7375, + "step": 33561 + }, + { + "epoch": 0.99, + "learning_rate": 5.127793191666008e-09, + "loss": 0.6047, + "step": 33562 + }, + { + "epoch": 0.99, + "learning_rate": 5.106274137904322e-09, + "loss": 0.9476, + "step": 33563 + }, + { + "epoch": 0.99, + "learning_rate": 5.084800308987614e-09, + "loss": 0.7444, + "step": 33564 + }, + { + "epoch": 0.99, + "learning_rate": 5.063371705109621e-09, + "loss": 0.7394, + "step": 33565 + }, + { + "epoch": 0.99, + "learning_rate": 5.041988326465186e-09, + "loss": 0.7482, + "step": 33566 + }, + { + "epoch": 0.99, + "learning_rate": 5.020650173248043e-09, + "loss": 0.7907, + "step": 33567 + }, + { + "epoch": 0.99, + "learning_rate": 4.99935724565026e-09, + "loss": 0.6371, + "step": 33568 + }, + { + "epoch": 0.99, + "learning_rate": 4.9781095438661275e-09, + "loss": 0.7448, + "step": 33569 + }, + { + "epoch": 0.99, + "learning_rate": 4.956907068087158e-09, + "loss": 0.5422, + "step": 33570 + }, + { + "epoch": 0.99, + "learning_rate": 4.935749818504865e-09, + "loss": 0.7392, + "step": 33571 + }, + { + "epoch": 0.99, + "learning_rate": 4.914637795311872e-09, + "loss": 0.8651, + "step": 33572 + }, + { + "epoch": 0.99, + "learning_rate": 4.893570998698582e-09, + "loss": 0.8079, + "step": 33573 + }, + { + "epoch": 0.99, + "learning_rate": 4.87254942885651e-09, + "loss": 0.7372, + "step": 33574 + }, + { + "epoch": 0.99, + "learning_rate": 4.851573085974947e-09, + "loss": 1.0277, + "step": 33575 + }, + { + "epoch": 0.99, + "learning_rate": 4.830641970244854e-09, + "loss": 0.5438, + "step": 33576 + }, + { + "epoch": 0.99, + "learning_rate": 4.809756081854966e-09, + "loss": 0.6766, + "step": 33577 + }, + { + "epoch": 0.99, + "learning_rate": 4.788915420994578e-09, + "loss": 0.7153, + "step": 33578 + }, + { + "epoch": 0.99, + "learning_rate": 4.768119987852426e-09, + "loss": 0.6669, + "step": 33579 + }, + { + "epoch": 0.99, + "learning_rate": 4.74736978261725e-09, + "loss": 0.6454, + "step": 33580 + }, + { + "epoch": 0.99, + "learning_rate": 4.726664805476122e-09, + "loss": 0.5253, + "step": 33581 + }, + { + "epoch": 0.99, + "learning_rate": 4.706005056617224e-09, + "loss": 0.8003, + "step": 33582 + }, + { + "epoch": 0.99, + "learning_rate": 4.6853905362270746e-09, + "loss": 0.8837, + "step": 33583 + }, + { + "epoch": 0.99, + "learning_rate": 4.664821244492746e-09, + "loss": 0.8331, + "step": 33584 + }, + { + "epoch": 0.99, + "learning_rate": 4.644297181600199e-09, + "loss": 0.5208, + "step": 33585 + }, + { + "epoch": 0.99, + "learning_rate": 4.6238183477353984e-09, + "loss": 0.9228, + "step": 33586 + }, + { + "epoch": 0.99, + "learning_rate": 4.6033847430831944e-09, + "loss": 0.6508, + "step": 33587 + }, + { + "epoch": 0.99, + "learning_rate": 4.582996367829551e-09, + "loss": 0.6378, + "step": 33588 + }, + { + "epoch": 0.99, + "learning_rate": 4.5626532221587636e-09, + "loss": 0.6179, + "step": 33589 + }, + { + "epoch": 0.99, + "learning_rate": 4.542355306254576e-09, + "loss": 0.6967, + "step": 33590 + }, + { + "epoch": 0.99, + "learning_rate": 4.522102620301838e-09, + "loss": 0.7421, + "step": 33591 + }, + { + "epoch": 0.99, + "learning_rate": 4.501895164482628e-09, + "loss": 0.7258, + "step": 33592 + }, + { + "epoch": 0.99, + "learning_rate": 4.481732938980132e-09, + "loss": 0.4449, + "step": 33593 + }, + { + "epoch": 0.99, + "learning_rate": 4.4616159439775375e-09, + "loss": 0.4798, + "step": 33594 + }, + { + "epoch": 0.99, + "learning_rate": 4.44154417965692e-09, + "loss": 0.6054, + "step": 33595 + }, + { + "epoch": 0.99, + "learning_rate": 4.421517646199247e-09, + "loss": 0.7538, + "step": 33596 + }, + { + "epoch": 0.99, + "learning_rate": 4.4015363437865945e-09, + "loss": 0.6008, + "step": 33597 + }, + { + "epoch": 0.99, + "learning_rate": 4.381600272599928e-09, + "loss": 0.7767, + "step": 33598 + }, + { + "epoch": 0.99, + "learning_rate": 4.361709432819106e-09, + "loss": 0.5867, + "step": 33599 + }, + { + "epoch": 0.99, + "learning_rate": 4.341863824624537e-09, + "loss": 0.6854, + "step": 33600 + }, + { + "epoch": 0.99, + "learning_rate": 4.322063448196079e-09, + "loss": 0.9189, + "step": 33601 + }, + { + "epoch": 0.99, + "learning_rate": 4.302308303713032e-09, + "loss": 0.4874, + "step": 33602 + }, + { + "epoch": 0.99, + "learning_rate": 4.282598391354142e-09, + "loss": 0.8833, + "step": 33603 + }, + { + "epoch": 0.99, + "learning_rate": 4.262933711297601e-09, + "loss": 0.7325, + "step": 33604 + }, + { + "epoch": 0.99, + "learning_rate": 4.243314263722153e-09, + "loss": 0.613, + "step": 33605 + }, + { + "epoch": 0.99, + "learning_rate": 4.2237400488043255e-09, + "loss": 0.8402, + "step": 33606 + }, + { + "epoch": 0.99, + "learning_rate": 4.204211066722863e-09, + "loss": 0.9114, + "step": 33607 + }, + { + "epoch": 0.99, + "learning_rate": 4.1847273176531814e-09, + "loss": 0.6506, + "step": 33608 + }, + { + "epoch": 0.99, + "learning_rate": 4.16528880177236e-09, + "loss": 0.6262, + "step": 33609 + }, + { + "epoch": 0.99, + "learning_rate": 4.145895519255816e-09, + "loss": 0.4779, + "step": 33610 + }, + { + "epoch": 0.99, + "learning_rate": 4.126547470280073e-09, + "loss": 0.6671, + "step": 33611 + }, + { + "epoch": 0.99, + "learning_rate": 4.107244655019993e-09, + "loss": 0.7193, + "step": 33612 + }, + { + "epoch": 0.99, + "learning_rate": 4.0879870736498795e-09, + "loss": 0.8015, + "step": 33613 + }, + { + "epoch": 0.99, + "learning_rate": 4.068774726344593e-09, + "loss": 0.7319, + "step": 33614 + }, + { + "epoch": 0.99, + "learning_rate": 4.049607613277884e-09, + "loss": 0.722, + "step": 33615 + }, + { + "epoch": 0.99, + "learning_rate": 4.030485734622946e-09, + "loss": 0.7026, + "step": 33616 + }, + { + "epoch": 0.99, + "learning_rate": 4.0114090905535304e-09, + "loss": 0.7592, + "step": 33617 + }, + { + "epoch": 0.99, + "learning_rate": 3.992377681242277e-09, + "loss": 0.6142, + "step": 33618 + }, + { + "epoch": 0.99, + "learning_rate": 3.973391506861268e-09, + "loss": 0.7036, + "step": 33619 + }, + { + "epoch": 0.99, + "learning_rate": 3.954450567582591e-09, + "loss": 0.6918, + "step": 33620 + }, + { + "epoch": 0.99, + "learning_rate": 3.935554863577218e-09, + "loss": 0.6814, + "step": 33621 + }, + { + "epoch": 0.99, + "learning_rate": 3.916704395017235e-09, + "loss": 0.5859, + "step": 33622 + }, + { + "epoch": 0.99, + "learning_rate": 3.897899162072505e-09, + "loss": 0.7119, + "step": 33623 + }, + { + "epoch": 0.99, + "learning_rate": 3.879139164913448e-09, + "loss": 0.8355, + "step": 33624 + }, + { + "epoch": 0.99, + "learning_rate": 3.860424403709928e-09, + "loss": 0.9661, + "step": 33625 + }, + { + "epoch": 0.99, + "learning_rate": 3.841754878631254e-09, + "loss": 0.6108, + "step": 33626 + }, + { + "epoch": 0.99, + "learning_rate": 3.823130589846735e-09, + "loss": 0.7743, + "step": 33627 + }, + { + "epoch": 0.99, + "learning_rate": 3.8045515375251255e-09, + "loss": 0.5448, + "step": 33628 + }, + { + "epoch": 0.99, + "learning_rate": 3.786017721834622e-09, + "loss": 0.6687, + "step": 33629 + }, + { + "epoch": 0.99, + "learning_rate": 3.767529142942872e-09, + "loss": 0.6861, + "step": 33630 + }, + { + "epoch": 0.99, + "learning_rate": 3.749085801016961e-09, + "loss": 0.9539, + "step": 33631 + }, + { + "epoch": 0.99, + "learning_rate": 3.730687696223978e-09, + "loss": 0.8178, + "step": 33632 + }, + { + "epoch": 0.99, + "learning_rate": 3.7123348287310122e-09, + "loss": 0.5676, + "step": 33633 + }, + { + "epoch": 0.99, + "learning_rate": 3.6940271987040423e-09, + "loss": 0.5598, + "step": 33634 + }, + { + "epoch": 0.99, + "learning_rate": 3.6757648063084905e-09, + "loss": 0.4832, + "step": 33635 + }, + { + "epoch": 0.99, + "learning_rate": 3.657547651710336e-09, + "loss": 0.8045, + "step": 33636 + }, + { + "epoch": 0.99, + "learning_rate": 3.6393757350738912e-09, + "loss": 0.6717, + "step": 33637 + }, + { + "epoch": 0.99, + "learning_rate": 3.6212490565640245e-09, + "loss": 0.7642, + "step": 33638 + }, + { + "epoch": 0.99, + "learning_rate": 3.603167616344494e-09, + "loss": 0.9039, + "step": 33639 + }, + { + "epoch": 0.99, + "learning_rate": 3.585131414579057e-09, + "loss": 0.7447, + "step": 33640 + }, + { + "epoch": 0.99, + "learning_rate": 3.5671404514314723e-09, + "loss": 0.7748, + "step": 33641 + }, + { + "epoch": 0.99, + "learning_rate": 3.549194727064387e-09, + "loss": 0.5728, + "step": 33642 + }, + { + "epoch": 0.99, + "learning_rate": 3.5312942416404484e-09, + "loss": 0.72, + "step": 33643 + }, + { + "epoch": 0.99, + "learning_rate": 3.5134389953217497e-09, + "loss": 0.7452, + "step": 33644 + }, + { + "epoch": 0.99, + "learning_rate": 3.4956289882692727e-09, + "loss": 0.6737, + "step": 33645 + }, + { + "epoch": 0.99, + "learning_rate": 3.4778642206451107e-09, + "loss": 0.9415, + "step": 33646 + }, + { + "epoch": 0.99, + "learning_rate": 3.4601446926096903e-09, + "loss": 0.6171, + "step": 33647 + }, + { + "epoch": 0.99, + "learning_rate": 3.442470404323439e-09, + "loss": 0.5253, + "step": 33648 + }, + { + "epoch": 0.99, + "learning_rate": 3.424841355946784e-09, + "loss": 0.8657, + "step": 33649 + }, + { + "epoch": 0.99, + "learning_rate": 3.407257547639042e-09, + "loss": 0.7915, + "step": 33650 + }, + { + "epoch": 0.99, + "learning_rate": 3.3897189795589756e-09, + "loss": 0.5898, + "step": 33651 + }, + { + "epoch": 0.99, + "learning_rate": 3.3722256518659014e-09, + "loss": 0.9278, + "step": 33652 + }, + { + "epoch": 0.99, + "learning_rate": 3.354777564718581e-09, + "loss": 0.6607, + "step": 33653 + }, + { + "epoch": 0.99, + "learning_rate": 3.337374718274111e-09, + "loss": 0.7444, + "step": 33654 + }, + { + "epoch": 0.99, + "learning_rate": 3.3200171126906986e-09, + "loss": 0.5652, + "step": 33655 + }, + { + "epoch": 0.99, + "learning_rate": 3.3027047481254404e-09, + "loss": 0.5393, + "step": 33656 + }, + { + "epoch": 0.99, + "learning_rate": 3.2854376247348773e-09, + "loss": 0.5046, + "step": 33657 + }, + { + "epoch": 0.99, + "learning_rate": 3.268215742674996e-09, + "loss": 0.7166, + "step": 33658 + }, + { + "epoch": 0.99, + "learning_rate": 3.251039102102338e-09, + "loss": 0.8477, + "step": 33659 + }, + { + "epoch": 0.99, + "learning_rate": 3.233907703172334e-09, + "loss": 0.6895, + "step": 33660 + }, + { + "epoch": 0.99, + "learning_rate": 3.216821546039861e-09, + "loss": 1.0788, + "step": 33661 + }, + { + "epoch": 0.99, + "learning_rate": 3.1997806308603497e-09, + "loss": 0.6316, + "step": 33662 + }, + { + "epoch": 0.99, + "learning_rate": 3.182784957787011e-09, + "loss": 0.7942, + "step": 33663 + }, + { + "epoch": 0.99, + "learning_rate": 3.165834526974165e-09, + "loss": 0.5195, + "step": 33664 + }, + { + "epoch": 0.99, + "learning_rate": 3.1489293385755794e-09, + "loss": 0.961, + "step": 33665 + }, + { + "epoch": 0.99, + "learning_rate": 3.132069392743908e-09, + "loss": 0.5485, + "step": 33666 + }, + { + "epoch": 0.99, + "learning_rate": 3.1152546896318082e-09, + "loss": 0.6946, + "step": 33667 + }, + { + "epoch": 0.99, + "learning_rate": 3.0984852293919343e-09, + "loss": 0.4712, + "step": 33668 + }, + { + "epoch": 0.99, + "learning_rate": 3.0817610121758325e-09, + "loss": 0.8606, + "step": 33669 + }, + { + "epoch": 0.99, + "learning_rate": 3.0650820381350476e-09, + "loss": 0.6433, + "step": 33670 + }, + { + "epoch": 0.99, + "learning_rate": 3.0484483074200157e-09, + "loss": 0.5859, + "step": 33671 + }, + { + "epoch": 0.99, + "learning_rate": 3.031859820182281e-09, + "loss": 0.7458, + "step": 33672 + }, + { + "epoch": 0.99, + "learning_rate": 3.015316576571725e-09, + "loss": 0.8524, + "step": 33673 + }, + { + "epoch": 0.99, + "learning_rate": 2.998818576737672e-09, + "loss": 0.758, + "step": 33674 + }, + { + "epoch": 0.99, + "learning_rate": 2.982365820830002e-09, + "loss": 0.8102, + "step": 33675 + }, + { + "epoch": 0.99, + "learning_rate": 2.9659583089974853e-09, + "loss": 0.642, + "step": 33676 + }, + { + "epoch": 0.99, + "learning_rate": 2.9495960413888912e-09, + "loss": 0.6811, + "step": 33677 + }, + { + "epoch": 0.99, + "learning_rate": 2.9332790181518798e-09, + "loss": 0.5826, + "step": 33678 + }, + { + "epoch": 0.99, + "learning_rate": 2.917007239434666e-09, + "loss": 0.7034, + "step": 33679 + }, + { + "epoch": 0.99, + "learning_rate": 2.900780705384354e-09, + "loss": 0.5176, + "step": 33680 + }, + { + "epoch": 0.99, + "learning_rate": 2.884599416147493e-09, + "loss": 0.7115, + "step": 33681 + }, + { + "epoch": 0.99, + "learning_rate": 2.8684633718717436e-09, + "loss": 0.7896, + "step": 33682 + }, + { + "epoch": 0.99, + "learning_rate": 2.852372572701989e-09, + "loss": 0.5205, + "step": 33683 + }, + { + "epoch": 0.99, + "learning_rate": 2.8363270187847793e-09, + "loss": 0.7078, + "step": 33684 + }, + { + "epoch": 0.99, + "learning_rate": 2.8203267102644426e-09, + "loss": 0.8082, + "step": 33685 + }, + { + "epoch": 0.99, + "learning_rate": 2.804371647286974e-09, + "loss": 0.6997, + "step": 33686 + }, + { + "epoch": 0.99, + "learning_rate": 2.7884618299961476e-09, + "loss": 0.833, + "step": 33687 + }, + { + "epoch": 0.99, + "learning_rate": 2.7725972585362914e-09, + "loss": 0.5885, + "step": 33688 + }, + { + "epoch": 0.99, + "learning_rate": 2.756777933050625e-09, + "loss": 0.7842, + "step": 33689 + }, + { + "epoch": 0.99, + "learning_rate": 2.741003853682367e-09, + "loss": 0.7392, + "step": 33690 + }, + { + "epoch": 0.99, + "learning_rate": 2.725275020575291e-09, + "loss": 0.6237, + "step": 33691 + }, + { + "epoch": 0.99, + "learning_rate": 2.7095914338709504e-09, + "loss": 0.7104, + "step": 33692 + }, + { + "epoch": 0.99, + "learning_rate": 2.6939530937114545e-09, + "loss": 0.7572, + "step": 33693 + }, + { + "epoch": 0.99, + "learning_rate": 2.6783600002383557e-09, + "loss": 0.6978, + "step": 33694 + }, + { + "epoch": 0.99, + "learning_rate": 2.662812153593208e-09, + "loss": 0.7769, + "step": 33695 + }, + { + "epoch": 0.99, + "learning_rate": 2.6473095539164552e-09, + "loss": 0.832, + "step": 33696 + }, + { + "epoch": 0.99, + "learning_rate": 2.6318522013485394e-09, + "loss": 0.8407, + "step": 33697 + }, + { + "epoch": 0.99, + "learning_rate": 2.616440096029349e-09, + "loss": 0.8352, + "step": 33698 + }, + { + "epoch": 0.99, + "learning_rate": 2.6010732380987725e-09, + "loss": 0.6565, + "step": 33699 + }, + { + "epoch": 0.99, + "learning_rate": 2.5857516276950324e-09, + "loss": 0.7539, + "step": 33700 + }, + { + "epoch": 0.99, + "learning_rate": 2.5704752649580168e-09, + "loss": 0.4812, + "step": 33701 + }, + { + "epoch": 0.99, + "learning_rate": 2.5552441500259483e-09, + "loss": 0.8941, + "step": 33702 + }, + { + "epoch": 0.99, + "learning_rate": 2.540058283035385e-09, + "loss": 0.9082, + "step": 33703 + }, + { + "epoch": 0.99, + "learning_rate": 2.524917664125659e-09, + "loss": 0.8487, + "step": 33704 + }, + { + "epoch": 0.99, + "learning_rate": 2.509822293432218e-09, + "loss": 0.6523, + "step": 33705 + }, + { + "epoch": 0.99, + "learning_rate": 2.4947721710927296e-09, + "loss": 0.7912, + "step": 33706 + }, + { + "epoch": 0.99, + "learning_rate": 2.4797672972431964e-09, + "loss": 0.6175, + "step": 33707 + }, + { + "epoch": 0.99, + "learning_rate": 2.4648076720196202e-09, + "loss": 0.7152, + "step": 33708 + }, + { + "epoch": 0.99, + "learning_rate": 2.449893295557448e-09, + "loss": 0.8198, + "step": 33709 + }, + { + "epoch": 0.99, + "learning_rate": 2.435024167991018e-09, + "loss": 0.9114, + "step": 33710 + }, + { + "epoch": 0.99, + "learning_rate": 2.420200289455776e-09, + "loss": 0.4739, + "step": 33711 + }, + { + "epoch": 0.99, + "learning_rate": 2.4054216600860604e-09, + "loss": 0.9874, + "step": 33712 + }, + { + "epoch": 0.99, + "learning_rate": 2.3906882800150964e-09, + "loss": 0.7492, + "step": 33713 + }, + { + "epoch": 0.99, + "learning_rate": 2.376000149376112e-09, + "loss": 0.7366, + "step": 33714 + }, + { + "epoch": 0.99, + "learning_rate": 2.3613572683028887e-09, + "loss": 0.8258, + "step": 33715 + }, + { + "epoch": 0.99, + "learning_rate": 2.3467596369275426e-09, + "loss": 0.669, + "step": 33716 + }, + { + "epoch": 0.99, + "learning_rate": 2.3322072553821906e-09, + "loss": 0.6496, + "step": 33717 + }, + { + "epoch": 0.99, + "learning_rate": 2.3177001237983944e-09, + "loss": 0.9286, + "step": 33718 + }, + { + "epoch": 0.99, + "learning_rate": 2.30323824230827e-09, + "loss": 0.8123, + "step": 33719 + }, + { + "epoch": 0.99, + "learning_rate": 2.288821611041714e-09, + "loss": 0.7309, + "step": 33720 + }, + { + "epoch": 0.99, + "learning_rate": 2.2744502301302873e-09, + "loss": 0.5505, + "step": 33721 + }, + { + "epoch": 0.99, + "learning_rate": 2.2601240997038866e-09, + "loss": 0.8535, + "step": 33722 + }, + { + "epoch": 0.99, + "learning_rate": 2.2458432198918524e-09, + "loss": 0.6974, + "step": 33723 + }, + { + "epoch": 0.99, + "learning_rate": 2.231607590823526e-09, + "loss": 0.5992, + "step": 33724 + }, + { + "epoch": 0.99, + "learning_rate": 2.217417212627693e-09, + "loss": 0.8048, + "step": 33725 + }, + { + "epoch": 0.99, + "learning_rate": 2.203272085433139e-09, + "loss": 0.6878, + "step": 33726 + }, + { + "epoch": 0.99, + "learning_rate": 2.1891722093680956e-09, + "loss": 0.8296, + "step": 33727 + }, + { + "epoch": 0.99, + "learning_rate": 2.1751175845596828e-09, + "loss": 0.7354, + "step": 33728 + }, + { + "epoch": 0.99, + "learning_rate": 2.161108211135576e-09, + "loss": 0.6201, + "step": 33729 + }, + { + "epoch": 0.99, + "learning_rate": 2.147144089222897e-09, + "loss": 0.909, + "step": 33730 + }, + { + "epoch": 0.99, + "learning_rate": 2.133225218947099e-09, + "loss": 0.6146, + "step": 33731 + }, + { + "epoch": 0.99, + "learning_rate": 2.1193516004353044e-09, + "loss": 0.559, + "step": 33732 + }, + { + "epoch": 0.99, + "learning_rate": 2.105523233811857e-09, + "loss": 0.7414, + "step": 33733 + }, + { + "epoch": 0.99, + "learning_rate": 2.0917401192033227e-09, + "loss": 0.7814, + "step": 33734 + }, + { + "epoch": 0.99, + "learning_rate": 2.0780022567334913e-09, + "loss": 0.7974, + "step": 33735 + }, + { + "epoch": 0.99, + "learning_rate": 2.0643096465278177e-09, + "loss": 0.551, + "step": 33736 + }, + { + "epoch": 0.99, + "learning_rate": 2.050662288708982e-09, + "loss": 0.6177, + "step": 33737 + }, + { + "epoch": 0.99, + "learning_rate": 2.0370601834013294e-09, + "loss": 0.8843, + "step": 33738 + }, + { + "epoch": 0.99, + "learning_rate": 2.023503330728094e-09, + "loss": 0.5055, + "step": 33739 + }, + { + "epoch": 0.99, + "learning_rate": 2.0099917308114e-09, + "loss": 0.648, + "step": 33740 + }, + { + "epoch": 0.99, + "learning_rate": 1.9965253837739284e-09, + "loss": 0.8386, + "step": 33741 + }, + { + "epoch": 0.99, + "learning_rate": 1.983104289737803e-09, + "loss": 0.7432, + "step": 33742 + }, + { + "epoch": 0.99, + "learning_rate": 1.9697284488245928e-09, + "loss": 1.1149, + "step": 33743 + }, + { + "epoch": 0.99, + "learning_rate": 1.9563978611553124e-09, + "loss": 0.6779, + "step": 33744 + }, + { + "epoch": 0.99, + "learning_rate": 1.943112526849866e-09, + "loss": 0.4292, + "step": 33745 + }, + { + "epoch": 0.99, + "learning_rate": 1.9298724460298234e-09, + "loss": 0.7546, + "step": 33746 + }, + { + "epoch": 0.99, + "learning_rate": 1.916677618814533e-09, + "loss": 0.8392, + "step": 33747 + }, + { + "epoch": 0.99, + "learning_rate": 1.903528045322789e-09, + "loss": 0.6974, + "step": 33748 + }, + { + "epoch": 0.99, + "learning_rate": 1.890423725674495e-09, + "loss": 0.5479, + "step": 33749 + }, + { + "epoch": 0.99, + "learning_rate": 1.8773646599884454e-09, + "loss": 0.6074, + "step": 33750 + }, + { + "epoch": 0.99, + "learning_rate": 1.8643508483823238e-09, + "loss": 0.8003, + "step": 33751 + }, + { + "epoch": 0.99, + "learning_rate": 1.8513822909738132e-09, + "loss": 0.7619, + "step": 33752 + }, + { + "epoch": 0.99, + "learning_rate": 1.8384589878811532e-09, + "loss": 0.825, + "step": 33753 + }, + { + "epoch": 0.99, + "learning_rate": 1.8255809392203617e-09, + "loss": 0.6583, + "step": 33754 + }, + { + "epoch": 0.99, + "learning_rate": 1.8127481451085671e-09, + "loss": 0.6888, + "step": 33755 + }, + { + "epoch": 0.99, + "learning_rate": 1.7999606056623431e-09, + "loss": 0.4571, + "step": 33756 + }, + { + "epoch": 0.99, + "learning_rate": 1.7872183209965977e-09, + "loss": 0.5972, + "step": 33757 + }, + { + "epoch": 0.99, + "learning_rate": 1.774521291227349e-09, + "loss": 0.7589, + "step": 33758 + }, + { + "epoch": 0.99, + "learning_rate": 1.7618695164695054e-09, + "loss": 0.7249, + "step": 33759 + }, + { + "epoch": 0.99, + "learning_rate": 1.7492629968374198e-09, + "loss": 0.5745, + "step": 33760 + }, + { + "epoch": 0.99, + "learning_rate": 1.7367017324448897e-09, + "loss": 0.7821, + "step": 33761 + }, + { + "epoch": 0.99, + "learning_rate": 1.7241857234068238e-09, + "loss": 0.8473, + "step": 33762 + }, + { + "epoch": 0.99, + "learning_rate": 1.7117149698353541e-09, + "loss": 0.8361, + "step": 33763 + }, + { + "epoch": 0.99, + "learning_rate": 1.6992894718437237e-09, + "loss": 0.8399, + "step": 33764 + }, + { + "epoch": 0.99, + "learning_rate": 1.68690922954462e-09, + "loss": 0.586, + "step": 33765 + }, + { + "epoch": 0.99, + "learning_rate": 1.6745742430496203e-09, + "loss": 0.7239, + "step": 33766 + }, + { + "epoch": 0.99, + "learning_rate": 1.6622845124714126e-09, + "loss": 0.5824, + "step": 33767 + }, + { + "epoch": 0.99, + "learning_rate": 1.650040037920464e-09, + "loss": 0.6406, + "step": 33768 + }, + { + "epoch": 0.99, + "learning_rate": 1.6378408195077967e-09, + "loss": 0.9712, + "step": 33769 + }, + { + "epoch": 0.99, + "learning_rate": 1.6256868573438778e-09, + "loss": 0.5951, + "step": 33770 + }, + { + "epoch": 0.99, + "learning_rate": 1.6135781515391746e-09, + "loss": 0.7251, + "step": 33771 + }, + { + "epoch": 0.99, + "learning_rate": 1.601514702202489e-09, + "loss": 0.7861, + "step": 33772 + }, + { + "epoch": 0.99, + "learning_rate": 1.5894965094442882e-09, + "loss": 0.6629, + "step": 33773 + }, + { + "epoch": 0.99, + "learning_rate": 1.5775235733717087e-09, + "loss": 0.7882, + "step": 33774 + }, + { + "epoch": 0.99, + "learning_rate": 1.5655958940946625e-09, + "loss": 0.4957, + "step": 33775 + }, + { + "epoch": 0.99, + "learning_rate": 1.5537134717202862e-09, + "loss": 0.6051, + "step": 33776 + }, + { + "epoch": 0.99, + "learning_rate": 1.5418763063562714e-09, + "loss": 0.5385, + "step": 33777 + }, + { + "epoch": 0.99, + "learning_rate": 1.5300843981103097e-09, + "loss": 0.6565, + "step": 33778 + }, + { + "epoch": 0.99, + "learning_rate": 1.5183377470884275e-09, + "loss": 0.8525, + "step": 33779 + }, + { + "epoch": 0.99, + "learning_rate": 1.5066363533972061e-09, + "loss": 0.7158, + "step": 33780 + }, + { + "epoch": 0.99, + "learning_rate": 1.494980217143227e-09, + "loss": 0.7233, + "step": 33781 + }, + { + "epoch": 0.99, + "learning_rate": 1.4833693384314062e-09, + "loss": 0.6431, + "step": 33782 + }, + { + "epoch": 0.99, + "learning_rate": 1.47180371736666e-09, + "loss": 0.6938, + "step": 33783 + }, + { + "epoch": 0.99, + "learning_rate": 1.4602833540544591e-09, + "loss": 0.6254, + "step": 33784 + }, + { + "epoch": 0.99, + "learning_rate": 1.44880824859861e-09, + "loss": 0.7498, + "step": 33785 + }, + { + "epoch": 0.99, + "learning_rate": 1.437378401102918e-09, + "loss": 0.7221, + "step": 33786 + }, + { + "epoch": 0.99, + "learning_rate": 1.4259938116711891e-09, + "loss": 0.9048, + "step": 33787 + }, + { + "epoch": 0.99, + "learning_rate": 1.4146544804066742e-09, + "loss": 0.6404, + "step": 33788 + }, + { + "epoch": 0.99, + "learning_rate": 1.4033604074109586e-09, + "loss": 0.7237, + "step": 33789 + }, + { + "epoch": 0.99, + "learning_rate": 1.3921115927878482e-09, + "loss": 0.7842, + "step": 33790 + }, + { + "epoch": 0.99, + "learning_rate": 1.380908036638373e-09, + "loss": 0.6516, + "step": 33791 + }, + { + "epoch": 0.99, + "learning_rate": 1.369749739063564e-09, + "loss": 0.6164, + "step": 33792 + }, + { + "epoch": 0.99, + "learning_rate": 1.3586367001650057e-09, + "loss": 0.5952, + "step": 33793 + }, + { + "epoch": 0.99, + "learning_rate": 1.3475689200431742e-09, + "loss": 0.5421, + "step": 33794 + }, + { + "epoch": 0.99, + "learning_rate": 1.336546398798544e-09, + "loss": 0.8463, + "step": 33795 + }, + { + "epoch": 0.99, + "learning_rate": 1.3255691365310352e-09, + "loss": 0.5112, + "step": 33796 + }, + { + "epoch": 0.99, + "learning_rate": 1.314637133338903e-09, + "loss": 0.8432, + "step": 33797 + }, + { + "epoch": 0.99, + "learning_rate": 1.3037503893226223e-09, + "loss": 0.6805, + "step": 33798 + }, + { + "epoch": 0.99, + "learning_rate": 1.2929089045798926e-09, + "loss": 0.5828, + "step": 33799 + }, + { + "epoch": 0.99, + "learning_rate": 1.2821126792089688e-09, + "loss": 0.6232, + "step": 33800 + }, + { + "epoch": 0.99, + "learning_rate": 1.2713617133075506e-09, + "loss": 0.7029, + "step": 33801 + }, + { + "epoch": 0.99, + "learning_rate": 1.2606560069733375e-09, + "loss": 0.6665, + "step": 33802 + }, + { + "epoch": 0.99, + "learning_rate": 1.249995560302919e-09, + "loss": 0.9533, + "step": 33803 + }, + { + "epoch": 0.99, + "learning_rate": 1.2393803733928845e-09, + "loss": 0.8231, + "step": 33804 + }, + { + "epoch": 0.99, + "learning_rate": 1.2288104463392681e-09, + "loss": 0.9234, + "step": 33805 + }, + { + "epoch": 0.99, + "learning_rate": 1.2182857792381042e-09, + "loss": 0.6166, + "step": 33806 + }, + { + "epoch": 0.99, + "learning_rate": 1.207806372184317e-09, + "loss": 0.7187, + "step": 33807 + }, + { + "epoch": 0.99, + "learning_rate": 1.1973722252733855e-09, + "loss": 0.7106, + "step": 33808 + }, + { + "epoch": 0.99, + "learning_rate": 1.1869833385991237e-09, + "loss": 0.6966, + "step": 33809 + }, + { + "epoch": 0.99, + "learning_rate": 1.1766397122553453e-09, + "loss": 1.0693, + "step": 33810 + }, + { + "epoch": 0.99, + "learning_rate": 1.1663413463369743e-09, + "loss": 0.7631, + "step": 33811 + }, + { + "epoch": 0.99, + "learning_rate": 1.1560882409356045e-09, + "loss": 0.9258, + "step": 33812 + }, + { + "epoch": 0.99, + "learning_rate": 1.1458803961456044e-09, + "loss": 0.6572, + "step": 33813 + }, + { + "epoch": 0.99, + "learning_rate": 1.1357178120585676e-09, + "loss": 0.6627, + "step": 33814 + }, + { + "epoch": 0.99, + "learning_rate": 1.1256004887666427e-09, + "loss": 0.8228, + "step": 33815 + }, + { + "epoch": 0.99, + "learning_rate": 1.115528426361423e-09, + "loss": 0.5483, + "step": 33816 + }, + { + "epoch": 0.99, + "learning_rate": 1.1055016249339468e-09, + "loss": 1.0727, + "step": 33817 + }, + { + "epoch": 0.99, + "learning_rate": 1.0955200845758073e-09, + "loss": 0.7335, + "step": 33818 + }, + { + "epoch": 0.99, + "learning_rate": 1.0855838053758227e-09, + "loss": 0.6785, + "step": 33819 + }, + { + "epoch": 0.99, + "learning_rate": 1.0756927874255863e-09, + "loss": 0.7865, + "step": 33820 + }, + { + "epoch": 0.99, + "learning_rate": 1.0658470308139157e-09, + "loss": 0.6475, + "step": 33821 + }, + { + "epoch": 0.99, + "learning_rate": 1.056046535629629e-09, + "loss": 0.6389, + "step": 33822 + }, + { + "epoch": 0.99, + "learning_rate": 1.046291301962099e-09, + "loss": 0.7528, + "step": 33823 + }, + { + "epoch": 0.99, + "learning_rate": 1.0365813298995886e-09, + "loss": 0.8062, + "step": 33824 + }, + { + "epoch": 0.99, + "learning_rate": 1.0269166195292501e-09, + "loss": 0.6704, + "step": 33825 + }, + { + "epoch": 0.99, + "learning_rate": 1.0172971709393465e-09, + "loss": 0.6357, + "step": 33826 + }, + { + "epoch": 0.99, + "learning_rate": 1.00772298421703e-09, + "loss": 0.8836, + "step": 33827 + }, + { + "epoch": 0.99, + "learning_rate": 9.98194059448343e-10, + "loss": 0.792, + "step": 33828 + }, + { + "epoch": 0.99, + "learning_rate": 9.88710396720438e-10, + "loss": 0.5317, + "step": 33829 + }, + { + "epoch": 0.99, + "learning_rate": 9.792719961182472e-10, + "loss": 0.9487, + "step": 33830 + }, + { + "epoch": 0.99, + "learning_rate": 9.69878857728368e-10, + "loss": 0.6913, + "step": 33831 + }, + { + "epoch": 0.99, + "learning_rate": 9.60530981634622e-10, + "loss": 0.3234, + "step": 33832 + }, + { + "epoch": 0.99, + "learning_rate": 9.512283679219414e-10, + "loss": 0.6349, + "step": 33833 + }, + { + "epoch": 0.99, + "learning_rate": 9.419710166752582e-10, + "loss": 0.6666, + "step": 33834 + }, + { + "epoch": 0.99, + "learning_rate": 9.327589279778393e-10, + "loss": 0.5431, + "step": 33835 + }, + { + "epoch": 0.99, + "learning_rate": 9.235921019129513e-10, + "loss": 0.617, + "step": 33836 + }, + { + "epoch": 0.99, + "learning_rate": 9.144705385644159e-10, + "loss": 0.5911, + "step": 33837 + }, + { + "epoch": 0.99, + "learning_rate": 9.053942380132797e-10, + "loss": 0.9802, + "step": 33838 + }, + { + "epoch": 0.99, + "learning_rate": 8.963632003433642e-10, + "loss": 0.7647, + "step": 33839 + }, + { + "epoch": 0.99, + "learning_rate": 8.873774256357159e-10, + "loss": 0.704, + "step": 33840 + }, + { + "epoch": 0.99, + "learning_rate": 8.784369139713811e-10, + "loss": 0.8035, + "step": 33841 + }, + { + "epoch": 0.99, + "learning_rate": 8.69541665431961e-10, + "loss": 0.7114, + "step": 33842 + }, + { + "epoch": 0.99, + "learning_rate": 8.60691680097947e-10, + "loss": 0.7862, + "step": 33843 + }, + { + "epoch": 0.99, + "learning_rate": 8.518869580487199e-10, + "loss": 0.8246, + "step": 33844 + }, + { + "epoch": 0.99, + "learning_rate": 8.431274993647709e-10, + "loss": 1.0382, + "step": 33845 + }, + { + "epoch": 0.99, + "learning_rate": 8.344133041249258e-10, + "loss": 0.9094, + "step": 33846 + }, + { + "epoch": 0.99, + "learning_rate": 8.257443724080106e-10, + "loss": 0.6198, + "step": 33847 + }, + { + "epoch": 0.99, + "learning_rate": 8.17120704293406e-10, + "loss": 0.8133, + "step": 33848 + }, + { + "epoch": 0.99, + "learning_rate": 8.085422998582726e-10, + "loss": 0.6988, + "step": 33849 + }, + { + "epoch": 0.99, + "learning_rate": 8.00009159180326e-10, + "loss": 0.7608, + "step": 33850 + }, + { + "epoch": 0.99, + "learning_rate": 7.915212823378371e-10, + "loss": 0.7257, + "step": 33851 + }, + { + "epoch": 0.99, + "learning_rate": 7.830786694063009e-10, + "loss": 0.5742, + "step": 33852 + }, + { + "epoch": 0.99, + "learning_rate": 7.746813204628778e-10, + "loss": 0.7453, + "step": 33853 + }, + { + "epoch": 0.99, + "learning_rate": 7.663292355836183e-10, + "loss": 0.8527, + "step": 33854 + }, + { + "epoch": 0.99, + "learning_rate": 7.580224148440174e-10, + "loss": 0.6262, + "step": 33855 + }, + { + "epoch": 0.99, + "learning_rate": 7.497608583190153e-10, + "loss": 0.6811, + "step": 33856 + }, + { + "epoch": 0.99, + "learning_rate": 7.415445660835519e-10, + "loss": 0.7004, + "step": 33857 + }, + { + "epoch": 0.99, + "learning_rate": 7.333735382125673e-10, + "loss": 0.765, + "step": 33858 + }, + { + "epoch": 0.99, + "learning_rate": 7.252477747793363e-10, + "loss": 0.8193, + "step": 33859 + }, + { + "epoch": 0.99, + "learning_rate": 7.171672758582437e-10, + "loss": 0.9737, + "step": 33860 + }, + { + "epoch": 0.99, + "learning_rate": 7.091320415214542e-10, + "loss": 0.9014, + "step": 33861 + }, + { + "epoch": 0.99, + "learning_rate": 7.011420718422424e-10, + "loss": 1.0623, + "step": 33862 + }, + { + "epoch": 0.99, + "learning_rate": 6.931973668927728e-10, + "loss": 0.6018, + "step": 33863 + }, + { + "epoch": 0.99, + "learning_rate": 6.852979267457648e-10, + "loss": 0.8088, + "step": 33864 + }, + { + "epoch": 0.99, + "learning_rate": 6.774437514711629e-10, + "loss": 0.5485, + "step": 33865 + }, + { + "epoch": 0.99, + "learning_rate": 6.696348411416864e-10, + "loss": 0.7236, + "step": 33866 + }, + { + "epoch": 0.99, + "learning_rate": 6.618711958272794e-10, + "loss": 0.8308, + "step": 33867 + }, + { + "epoch": 1.0, + "learning_rate": 6.54152815597886e-10, + "loss": 0.7888, + "step": 33868 + }, + { + "epoch": 1.0, + "learning_rate": 6.464797005240053e-10, + "loss": 0.5399, + "step": 33869 + }, + { + "epoch": 1.0, + "learning_rate": 6.388518506750263e-10, + "loss": 0.5463, + "step": 33870 + }, + { + "epoch": 1.0, + "learning_rate": 6.312692661197828e-10, + "loss": 0.689, + "step": 33871 + }, + { + "epoch": 1.0, + "learning_rate": 6.237319469276637e-10, + "loss": 0.627, + "step": 33872 + }, + { + "epoch": 1.0, + "learning_rate": 6.162398931652825e-10, + "loss": 0.6381, + "step": 33873 + }, + { + "epoch": 1.0, + "learning_rate": 6.087931049020279e-10, + "loss": 0.6012, + "step": 33874 + }, + { + "epoch": 1.0, + "learning_rate": 6.013915822050686e-10, + "loss": 0.7679, + "step": 33875 + }, + { + "epoch": 1.0, + "learning_rate": 5.940353251410181e-10, + "loss": 0.7625, + "step": 33876 + }, + { + "epoch": 1.0, + "learning_rate": 5.867243337764894e-10, + "loss": 0.6148, + "step": 33877 + }, + { + "epoch": 1.0, + "learning_rate": 5.794586081775411e-10, + "loss": 0.77, + "step": 33878 + }, + { + "epoch": 1.0, + "learning_rate": 5.722381484102313e-10, + "loss": 0.6356, + "step": 33879 + }, + { + "epoch": 1.0, + "learning_rate": 5.650629545400632e-10, + "loss": 1.2756, + "step": 33880 + }, + { + "epoch": 1.0, + "learning_rate": 5.579330266319849e-10, + "loss": 0.7679, + "step": 33881 + }, + { + "epoch": 1.0, + "learning_rate": 5.508483647503892e-10, + "loss": 0.6647, + "step": 33882 + }, + { + "epoch": 1.0, + "learning_rate": 5.438089689596693e-10, + "loss": 0.6408, + "step": 33883 + }, + { + "epoch": 1.0, + "learning_rate": 5.368148393231076e-10, + "loss": 0.4948, + "step": 33884 + }, + { + "epoch": 1.0, + "learning_rate": 5.29865975903987e-10, + "loss": 0.4641, + "step": 33885 + }, + { + "epoch": 1.0, + "learning_rate": 5.229623787655902e-10, + "loss": 0.6299, + "step": 33886 + }, + { + "epoch": 1.0, + "learning_rate": 5.161040479706448e-10, + "loss": 0.6435, + "step": 33887 + }, + { + "epoch": 1.0, + "learning_rate": 5.09290983580768e-10, + "loss": 0.5401, + "step": 33888 + }, + { + "epoch": 1.0, + "learning_rate": 5.025231856581326e-10, + "loss": 0.6323, + "step": 33889 + }, + { + "epoch": 1.0, + "learning_rate": 4.958006542632454e-10, + "loss": 0.4101, + "step": 33890 + }, + { + "epoch": 1.0, + "learning_rate": 4.89123389457724e-10, + "loss": 0.607, + "step": 33891 + }, + { + "epoch": 1.0, + "learning_rate": 4.824913913015206e-10, + "loss": 0.6097, + "step": 33892 + }, + { + "epoch": 1.0, + "learning_rate": 4.75904659855142e-10, + "loss": 0.7092, + "step": 33893 + }, + { + "epoch": 1.0, + "learning_rate": 4.693631951779854e-10, + "loss": 0.8432, + "step": 33894 + }, + { + "epoch": 1.0, + "learning_rate": 4.628669973294475e-10, + "loss": 0.7947, + "step": 33895 + }, + { + "epoch": 1.0, + "learning_rate": 4.564160663678152e-10, + "loss": 0.7559, + "step": 33896 + }, + { + "epoch": 1.0, + "learning_rate": 4.500104023519303e-10, + "loss": 0.6296, + "step": 33897 + }, + { + "epoch": 1.0, + "learning_rate": 4.436500053395243e-10, + "loss": 0.8716, + "step": 33898 + }, + { + "epoch": 1.0, + "learning_rate": 4.3733487538888395e-10, + "loss": 0.7601, + "step": 33899 + }, + { + "epoch": 1.0, + "learning_rate": 4.3106501255607556e-10, + "loss": 0.5995, + "step": 33900 + }, + { + "epoch": 1.0, + "learning_rate": 4.248404168988307e-10, + "loss": 0.5445, + "step": 33901 + }, + { + "epoch": 1.0, + "learning_rate": 4.1866108847321564e-10, + "loss": 0.8332, + "step": 33902 + }, + { + "epoch": 1.0, + "learning_rate": 4.125270273347415e-10, + "loss": 0.7021, + "step": 33903 + }, + { + "epoch": 1.0, + "learning_rate": 4.0643823354002967e-10, + "loss": 0.8322, + "step": 33904 + }, + { + "epoch": 1.0, + "learning_rate": 4.0039470714292596e-10, + "loss": 0.7024, + "step": 33905 + }, + { + "epoch": 1.0, + "learning_rate": 3.943964481989415e-10, + "loss": 0.7016, + "step": 33906 + }, + { + "epoch": 1.0, + "learning_rate": 3.884434567619222e-10, + "loss": 0.8363, + "step": 33907 + }, + { + "epoch": 1.0, + "learning_rate": 3.8253573288626886e-10, + "loss": 0.5944, + "step": 33908 + }, + { + "epoch": 1.0, + "learning_rate": 3.766732766252723e-10, + "loss": 0.7049, + "step": 33909 + }, + { + "epoch": 1.0, + "learning_rate": 3.7085608803166806e-10, + "loss": 0.6475, + "step": 33910 + }, + { + "epoch": 1.0, + "learning_rate": 3.6508416715874684e-10, + "loss": 0.7974, + "step": 33911 + }, + { + "epoch": 1.0, + "learning_rate": 3.5935751405813403e-10, + "loss": 0.6996, + "step": 33912 + }, + { + "epoch": 1.0, + "learning_rate": 3.536761287820101e-10, + "loss": 0.5697, + "step": 33913 + }, + { + "epoch": 1.0, + "learning_rate": 3.480400113820004e-10, + "loss": 0.7489, + "step": 33914 + }, + { + "epoch": 1.0, + "learning_rate": 3.424491619086201e-10, + "loss": 0.782, + "step": 33915 + }, + { + "epoch": 1.0, + "learning_rate": 3.369035804129395e-10, + "loss": 0.9171, + "step": 33916 + }, + { + "epoch": 1.0, + "learning_rate": 3.3140326694547367e-10, + "loss": 0.8537, + "step": 33917 + }, + { + "epoch": 1.0, + "learning_rate": 3.2594822155507244e-10, + "loss": 0.5918, + "step": 33918 + }, + { + "epoch": 1.0, + "learning_rate": 3.205384442916959e-10, + "loss": 0.7014, + "step": 33919 + }, + { + "epoch": 1.0, + "learning_rate": 3.1517393520419384e-10, + "loss": 0.8554, + "step": 33920 + }, + { + "epoch": 1.0, + "learning_rate": 3.09854694341416e-10, + "loss": 0.9252, + "step": 33921 + }, + { + "epoch": 1.0, + "learning_rate": 3.045807217511021e-10, + "loss": 0.8717, + "step": 33922 + }, + { + "epoch": 1.0, + "learning_rate": 2.9935201748154674e-10, + "loss": 0.7261, + "step": 33923 + }, + { + "epoch": 1.0, + "learning_rate": 2.9416858157937933e-10, + "loss": 0.6858, + "step": 33924 + }, + { + "epoch": 1.0, + "learning_rate": 2.8903041409178435e-10, + "loss": 0.4205, + "step": 33925 + }, + { + "epoch": 1.0, + "learning_rate": 2.8393751506594625e-10, + "loss": 0.7706, + "step": 33926 + }, + { + "epoch": 1.0, + "learning_rate": 2.788898845473842e-10, + "loss": 0.7365, + "step": 33927 + }, + { + "epoch": 1.0, + "learning_rate": 2.7388752258161734e-10, + "loss": 0.6549, + "step": 33928 + }, + { + "epoch": 1.0, + "learning_rate": 2.689304292141648e-10, + "loss": 0.539, + "step": 33929 + }, + { + "epoch": 1.0, + "learning_rate": 2.640186044899906e-10, + "loss": 0.7228, + "step": 33930 + }, + { + "epoch": 1.0, + "learning_rate": 2.591520484535037e-10, + "loss": 0.8353, + "step": 33931 + }, + { + "epoch": 1.0, + "learning_rate": 2.543307611485579e-10, + "loss": 0.71, + "step": 33932 + }, + { + "epoch": 1.0, + "learning_rate": 2.49554742619007e-10, + "loss": 0.5326, + "step": 33933 + }, + { + "epoch": 1.0, + "learning_rate": 2.448239929081497e-10, + "loss": 0.9153, + "step": 33934 + }, + { + "epoch": 1.0, + "learning_rate": 2.4013851205928474e-10, + "loss": 0.6745, + "step": 33935 + }, + { + "epoch": 1.0, + "learning_rate": 2.354983001134903e-10, + "loss": 0.8361, + "step": 33936 + }, + { + "epoch": 1.0, + "learning_rate": 2.309033571140651e-10, + "loss": 0.7663, + "step": 33937 + }, + { + "epoch": 1.0, + "learning_rate": 2.263536831026425e-10, + "loss": 0.7829, + "step": 33938 + }, + { + "epoch": 1.0, + "learning_rate": 2.2184927811919055e-10, + "loss": 0.7606, + "step": 33939 + }, + { + "epoch": 1.0, + "learning_rate": 2.173901422053426e-10, + "loss": 0.6514, + "step": 33940 + }, + { + "epoch": 1.0, + "learning_rate": 2.129762754016218e-10, + "loss": 0.6124, + "step": 33941 + }, + { + "epoch": 1.0, + "learning_rate": 2.0860767774744106e-10, + "loss": 0.5767, + "step": 33942 + }, + { + "epoch": 1.0, + "learning_rate": 2.0428434928276842e-10, + "loss": 0.6052, + "step": 33943 + }, + { + "epoch": 1.0, + "learning_rate": 2.0000629004701677e-10, + "loss": 0.8553, + "step": 33944 + }, + { + "epoch": 1.0, + "learning_rate": 1.9577350007793372e-10, + "loss": 0.5585, + "step": 33945 + }, + { + "epoch": 1.0, + "learning_rate": 1.9158597941437708e-10, + "loss": 0.5521, + "step": 33946 + }, + { + "epoch": 1.0, + "learning_rate": 1.874437280946495e-10, + "loss": 0.6511, + "step": 33947 + }, + { + "epoch": 1.0, + "learning_rate": 1.833467461559435e-10, + "loss": 0.8917, + "step": 33948 + }, + { + "epoch": 1.0, + "learning_rate": 1.7929503363545153e-10, + "loss": 0.4278, + "step": 33949 + }, + { + "epoch": 1.0, + "learning_rate": 1.7528859056981096e-10, + "loss": 0.8966, + "step": 33950 + }, + { + "epoch": 1.0, + "learning_rate": 1.7132741699454892e-10, + "loss": 0.7914, + "step": 33951 + }, + { + "epoch": 1.0, + "learning_rate": 1.6741151294685787e-10, + "loss": 0.68, + "step": 33952 + }, + { + "epoch": 1.0, + "learning_rate": 1.6354087846115473e-10, + "loss": 0.707, + "step": 33953 + }, + { + "epoch": 1.0, + "learning_rate": 1.5971551357352178e-10, + "loss": 0.8034, + "step": 33954 + }, + { + "epoch": 1.0, + "learning_rate": 1.5593541831726565e-10, + "loss": 0.6699, + "step": 33955 + }, + { + "epoch": 1.0, + "learning_rate": 1.5220059272735843e-10, + "loss": 0.6313, + "step": 33956 + }, + { + "epoch": 1.0, + "learning_rate": 1.48511036838217e-10, + "loss": 0.5598, + "step": 33957 + }, + { + "epoch": 1.0, + "learning_rate": 1.4486675068203783e-10, + "loss": 0.5417, + "step": 33958 + }, + { + "epoch": 1.0, + "learning_rate": 1.412677342921276e-10, + "loss": 0.6723, + "step": 33959 + }, + { + "epoch": 1.0, + "learning_rate": 1.37713987701793e-10, + "loss": 0.8605, + "step": 33960 + }, + { + "epoch": 1.0, + "learning_rate": 1.3420551094267542e-10, + "loss": 0.7059, + "step": 33961 + }, + { + "epoch": 1.0, + "learning_rate": 1.307423040464162e-10, + "loss": 0.7386, + "step": 33962 + }, + { + "epoch": 1.0, + "learning_rate": 1.2732436704465666e-10, + "loss": 0.7201, + "step": 33963 + }, + { + "epoch": 1.0, + "learning_rate": 1.239516999684831e-10, + "loss": 0.7423, + "step": 33964 + }, + { + "epoch": 1.0, + "learning_rate": 1.206243028478715e-10, + "loss": 0.6436, + "step": 33965 + }, + { + "epoch": 1.0, + "learning_rate": 1.1734217571335304e-10, + "loss": 0.9085, + "step": 33966 + }, + { + "epoch": 1.0, + "learning_rate": 1.1410531859434859e-10, + "loss": 0.7404, + "step": 33967 + }, + { + "epoch": 1.0, + "learning_rate": 1.1091373152027906e-10, + "loss": 0.8744, + "step": 33968 + }, + { + "epoch": 1.0, + "learning_rate": 1.0776741452056539e-10, + "loss": 0.6804, + "step": 33969 + }, + { + "epoch": 1.0, + "learning_rate": 1.0466636762296311e-10, + "loss": 0.8531, + "step": 33970 + }, + { + "epoch": 1.0, + "learning_rate": 1.0161059085633806e-10, + "loss": 0.8051, + "step": 33971 + }, + { + "epoch": 1.0, + "learning_rate": 9.860008424733558e-11, + "loss": 0.6161, + "step": 33972 + }, + { + "epoch": 1.0, + "learning_rate": 9.563484782371125e-11, + "loss": 0.5107, + "step": 33973 + }, + { + "epoch": 1.0, + "learning_rate": 9.271488161266551e-11, + "loss": 0.5087, + "step": 33974 + }, + { + "epoch": 1.0, + "learning_rate": 8.984018564028862e-11, + "loss": 0.8479, + "step": 33975 + }, + { + "epoch": 1.0, + "learning_rate": 8.701075993267082e-11, + "loss": 0.8215, + "step": 33976 + }, + { + "epoch": 1.0, + "learning_rate": 8.422660451534725e-11, + "loss": 0.8434, + "step": 33977 + }, + { + "epoch": 1.0, + "learning_rate": 8.148771941385303e-11, + "loss": 0.5431, + "step": 33978 + }, + { + "epoch": 1.0, + "learning_rate": 7.879410465205794e-11, + "loss": 0.587, + "step": 33979 + }, + { + "epoch": 1.0, + "learning_rate": 7.614576025549714e-11, + "loss": 0.6277, + "step": 33980 + }, + { + "epoch": 1.0, + "learning_rate": 7.354268624748529e-11, + "loss": 0.6738, + "step": 33981 + }, + { + "epoch": 1.0, + "learning_rate": 7.098488265189218e-11, + "loss": 0.7956, + "step": 33982 + }, + { + "epoch": 1.0, + "learning_rate": 6.84723494914774e-11, + "loss": 0.5959, + "step": 33983 + }, + { + "epoch": 1.0, + "learning_rate": 6.600508678955564e-11, + "loss": 0.563, + "step": 33984 + }, + { + "epoch": 1.0, + "learning_rate": 6.358309456833134e-11, + "loss": 0.8416, + "step": 33985 + }, + { + "epoch": 1.0, + "learning_rate": 6.120637284889874e-11, + "loss": 0.6499, + "step": 33986 + }, + { + "epoch": 1.0, + "learning_rate": 5.887492165401742e-11, + "loss": 0.7033, + "step": 33987 + }, + { + "epoch": 1.0, + "learning_rate": 5.658874100422651e-11, + "loss": 0.8513, + "step": 33988 + }, + { + "epoch": 1.0, + "learning_rate": 5.4347830920065124e-11, + "loss": 0.9251, + "step": 33989 + }, + { + "epoch": 1.0, + "learning_rate": 5.21521914220724e-11, + "loss": 0.508, + "step": 33990 + }, + { + "epoch": 1.0, + "learning_rate": 5.000182252967722e-11, + "loss": 0.4121, + "step": 33991 + }, + { + "epoch": 1.0, + "learning_rate": 4.7896724263418735e-11, + "loss": 0.8413, + "step": 33992 + }, + { + "epoch": 1.0, + "learning_rate": 4.58368966410605e-11, + "loss": 0.526, + "step": 33993 + }, + { + "epoch": 1.0, + "learning_rate": 4.382233968203142e-11, + "loss": 0.6377, + "step": 33994 + }, + { + "epoch": 1.0, + "learning_rate": 4.185305340465018e-11, + "loss": 0.7275, + "step": 33995 + }, + { + "epoch": 1.0, + "learning_rate": 3.9929037826125225e-11, + "loss": 0.7997, + "step": 33996 + }, + { + "epoch": 1.0, + "learning_rate": 3.8050292964220136e-11, + "loss": 0.7879, + "step": 33997 + }, + { + "epoch": 1.0, + "learning_rate": 3.6216818836143364e-11, + "loss": 0.692, + "step": 33998 + }, + { + "epoch": 1.0, + "learning_rate": 3.442861545854825e-11, + "loss": 0.645, + "step": 33999 + }, + { + "epoch": 1.0, + "learning_rate": 3.268568284697793e-11, + "loss": 0.8021, + "step": 34000 + }, + { + "epoch": 1.0, + "learning_rate": 3.098802101808573e-11, + "loss": 0.5043, + "step": 34001 + }, + { + "epoch": 1.0, + "learning_rate": 2.933562998630457e-11, + "loss": 0.7074, + "step": 34002 + }, + { + "epoch": 1.0, + "learning_rate": 2.7728509767177557e-11, + "loss": 1.0171, + "step": 34003 + }, + { + "epoch": 1.0, + "learning_rate": 2.6166660375137597e-11, + "loss": 0.9937, + "step": 34004 + }, + { + "epoch": 1.0, + "learning_rate": 2.465008182461759e-11, + "loss": 0.7283, + "step": 34005 + }, + { + "epoch": 1.0, + "learning_rate": 2.3178774128940207e-11, + "loss": 0.8104, + "step": 34006 + }, + { + "epoch": 1.0, + "learning_rate": 2.175273730142813e-11, + "loss": 0.7338, + "step": 34007 + }, + { + "epoch": 1.0, + "learning_rate": 2.037197135484892e-11, + "loss": 0.9613, + "step": 34008 + }, + { + "epoch": 1.0, + "learning_rate": 1.9036476302525254e-11, + "loss": 0.8186, + "step": 34009 + }, + { + "epoch": 1.0, + "learning_rate": 1.7746252156114474e-11, + "loss": 0.7144, + "step": 34010 + }, + { + "epoch": 1.0, + "learning_rate": 1.650129892671881e-11, + "loss": 0.7342, + "step": 34011 + }, + { + "epoch": 1.0, + "learning_rate": 1.530161662599561e-11, + "loss": 0.722, + "step": 34012 + }, + { + "epoch": 1.0, + "learning_rate": 1.4147205265602205e-11, + "loss": 0.6584, + "step": 34013 + }, + { + "epoch": 1.0, + "learning_rate": 1.3038064854420384e-11, + "loss": 0.7582, + "step": 34014 + }, + { + "epoch": 1.0, + "learning_rate": 1.1974195404107492e-11, + "loss": 1.0839, + "step": 34015 + }, + { + "epoch": 1.0, + "learning_rate": 1.0955596922990197e-11, + "loss": 0.5669, + "step": 34016 + }, + { + "epoch": 1.0, + "learning_rate": 9.982269421060508e-12, + "loss": 0.8122, + "step": 34017 + }, + { + "epoch": 1.0, + "learning_rate": 9.05421290720021e-12, + "loss": 0.6026, + "step": 34018 + }, + { + "epoch": 1.0, + "learning_rate": 8.171427389180863e-12, + "loss": 0.5413, + "step": 34019 + }, + { + "epoch": 1.0, + "learning_rate": 7.333912875329142e-12, + "loss": 0.645, + "step": 34020 + }, + { + "epoch": 1.0, + "learning_rate": 6.5416693734166034e-12, + "loss": 0.879, + "step": 34021 + }, + { + "epoch": 1.0, + "learning_rate": 5.79469689010459e-12, + "loss": 0.6855, + "step": 34022 + }, + { + "epoch": 1.0, + "learning_rate": 5.092995432609549e-12, + "loss": 0.6598, + "step": 34023 + }, + { + "epoch": 1.0, + "learning_rate": 4.4365650070377075e-12, + "loss": 0.7944, + "step": 34024 + }, + { + "epoch": 1.0, + "learning_rate": 3.825405620050404e-12, + "loss": 0.8124, + "step": 34025 + }, + { + "epoch": 1.0, + "learning_rate": 3.2595172760885308e-12, + "loss": 0.8052, + "step": 34026 + }, + { + "epoch": 1.0, + "learning_rate": 2.7388999807032023e-12, + "loss": 0.6511, + "step": 34027 + }, + { + "epoch": 1.0, + "learning_rate": 2.263553738890423e-12, + "loss": 0.752, + "step": 34028 + }, + { + "epoch": 1.0, + "learning_rate": 1.8334785550910838e-12, + "loss": 1.0399, + "step": 34029 + }, + { + "epoch": 1.0, + "learning_rate": 1.4486744326358547e-12, + "loss": 0.5991, + "step": 34030 + }, + { + "epoch": 1.0, + "learning_rate": 1.1091413748554048e-12, + "loss": 0.8403, + "step": 34031 + }, + { + "epoch": 1.0, + "learning_rate": 8.148793856355142e-13, + "loss": 0.6753, + "step": 34032 + }, + { + "epoch": 1.0, + "learning_rate": 5.658884666415177e-13, + "loss": 0.6211, + "step": 34033 + }, + { + "epoch": 1.0, + "learning_rate": 3.6216862120408425e-13, + "loss": 0.6977, + "step": 34034 + }, + { + "epoch": 1.0, + "learning_rate": 2.0371985043343702e-13, + "loss": 0.83, + "step": 34035 + }, + { + "epoch": 1.0, + "learning_rate": 9.054215599491045e-14, + "loss": 0.7476, + "step": 34036 + }, + { + "epoch": 1.0, + "learning_rate": 2.2635538998727612e-14, + "loss": 0.7743, + "step": 34037 + }, + { + "epoch": 1.0, + "learning_rate": 0.0, + "loss": 0.672, + "step": 34038 + }, + { + "epoch": 1.0, + "step": 34038, + "total_flos": 6.250252926510432e+18, + "train_loss": 0.7523171740844937, + "train_runtime": 206019.238, + "train_samples_per_second": 2.643, + "train_steps_per_second": 0.165 + } + ], + "logging_steps": 1.0, + "max_steps": 34038, + "num_train_epochs": 1, + "save_steps": 1000, + "total_flos": 6.250252926510432e+18, + "trial_name": null, + "trial_params": null +}