diff --git "a/checkpoint-2600/trainer_state.json" "b/checkpoint-2600/trainer_state.json" new file mode 100644--- /dev/null +++ "b/checkpoint-2600/trainer_state.json" @@ -0,0 +1,15746 @@ +{ + "best_metric": 0.734300971031189, + "best_model_checkpoint": "music_genres_classification/checkpoint-2600", + "epoch": 13.0, + "global_step": 2600, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.01, + "learning_rate": 4.0000000000000003e-07, + "loss": 2.3053, + "step": 1 + }, + { + "epoch": 0.01, + "learning_rate": 8.000000000000001e-07, + "loss": 2.3066, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 1.2000000000000002e-06, + "loss": 2.3055, + "step": 3 + }, + { + "epoch": 0.02, + "learning_rate": 1.6000000000000001e-06, + "loss": 2.3022, + "step": 4 + }, + { + "epoch": 0.03, + "learning_rate": 2.0000000000000003e-06, + "loss": 2.3094, + "step": 5 + }, + { + "epoch": 0.03, + "learning_rate": 2.4000000000000003e-06, + "loss": 2.2997, + "step": 6 + }, + { + "epoch": 0.04, + "learning_rate": 2.8000000000000003e-06, + "loss": 2.2944, + "step": 7 + }, + { + "epoch": 0.04, + "learning_rate": 3.2000000000000003e-06, + "loss": 2.299, + "step": 8 + }, + { + "epoch": 0.04, + "learning_rate": 3.6000000000000003e-06, + "loss": 2.3046, + "step": 9 + }, + { + "epoch": 0.05, + "learning_rate": 4.000000000000001e-06, + "loss": 2.3013, + "step": 10 + }, + { + "epoch": 0.06, + "learning_rate": 4.4e-06, + "loss": 2.3003, + "step": 11 + }, + { + "epoch": 0.06, + "learning_rate": 4.800000000000001e-06, + "loss": 2.3065, + "step": 12 + }, + { + "epoch": 0.07, + "learning_rate": 5.2e-06, + "loss": 2.3104, + "step": 13 + }, + { + "epoch": 0.07, + "learning_rate": 5.600000000000001e-06, + "loss": 2.435, + "step": 14 + }, + { + "epoch": 0.07, + "learning_rate": 6e-06, + "loss": 2.3088, + "step": 15 + }, + { + "epoch": 0.08, + "learning_rate": 6.4000000000000006e-06, + "loss": 2.2974, + "step": 16 + }, + { + "epoch": 0.09, + "learning_rate": 6.800000000000001e-06, + "loss": 2.2997, + "step": 17 + }, + { + "epoch": 0.09, + "learning_rate": 7.2000000000000005e-06, + "loss": 2.3008, + "step": 18 + }, + { + "epoch": 0.1, + "learning_rate": 7.600000000000001e-06, + "loss": 2.2928, + "step": 19 + }, + { + "epoch": 0.1, + "learning_rate": 8.000000000000001e-06, + "loss": 2.302, + "step": 20 + }, + { + "epoch": 0.1, + "learning_rate": 8.400000000000001e-06, + "loss": 2.3124, + "step": 21 + }, + { + "epoch": 0.11, + "learning_rate": 8.8e-06, + "loss": 2.3099, + "step": 22 + }, + { + "epoch": 0.12, + "learning_rate": 9.200000000000002e-06, + "loss": 2.3117, + "step": 23 + }, + { + "epoch": 0.12, + "learning_rate": 9.600000000000001e-06, + "loss": 2.3108, + "step": 24 + }, + { + "epoch": 0.12, + "learning_rate": 1e-05, + "loss": 2.1997, + "step": 25 + }, + { + "epoch": 0.13, + "learning_rate": 1.04e-05, + "loss": 2.3092, + "step": 26 + }, + { + "epoch": 0.14, + "learning_rate": 1.0800000000000002e-05, + "loss": 2.2861, + "step": 27 + }, + { + "epoch": 0.14, + "learning_rate": 1.1200000000000001e-05, + "loss": 2.2918, + "step": 28 + }, + { + "epoch": 0.14, + "learning_rate": 1.16e-05, + "loss": 2.2477, + "step": 29 + }, + { + "epoch": 0.15, + "learning_rate": 1.2e-05, + "loss": 2.3012, + "step": 30 + }, + { + "epoch": 0.15, + "learning_rate": 1.2400000000000002e-05, + "loss": 2.2932, + "step": 31 + }, + { + "epoch": 0.16, + "learning_rate": 1.2800000000000001e-05, + "loss": 2.2987, + "step": 32 + }, + { + "epoch": 0.17, + "learning_rate": 1.3200000000000002e-05, + "loss": 2.2929, + "step": 33 + }, + { + "epoch": 0.17, + "learning_rate": 1.3600000000000002e-05, + "loss": 2.3059, + "step": 34 + }, + { + "epoch": 0.17, + "learning_rate": 1.4e-05, + "loss": 2.3024, + "step": 35 + }, + { + "epoch": 0.18, + "learning_rate": 1.4400000000000001e-05, + "loss": 2.3018, + "step": 36 + }, + { + "epoch": 0.18, + "learning_rate": 1.48e-05, + "loss": 2.3132, + "step": 37 + }, + { + "epoch": 0.19, + "learning_rate": 1.5200000000000002e-05, + "loss": 2.2814, + "step": 38 + }, + { + "epoch": 0.2, + "learning_rate": 1.5600000000000003e-05, + "loss": 2.2976, + "step": 39 + }, + { + "epoch": 0.2, + "learning_rate": 1.6000000000000003e-05, + "loss": 2.3028, + "step": 40 + }, + { + "epoch": 0.2, + "learning_rate": 1.64e-05, + "loss": 2.2973, + "step": 41 + }, + { + "epoch": 0.21, + "learning_rate": 1.6800000000000002e-05, + "loss": 2.2951, + "step": 42 + }, + { + "epoch": 0.21, + "learning_rate": 1.72e-05, + "loss": 2.298, + "step": 43 + }, + { + "epoch": 0.22, + "learning_rate": 1.76e-05, + "loss": 2.283, + "step": 44 + }, + { + "epoch": 0.23, + "learning_rate": 1.8e-05, + "loss": 2.2946, + "step": 45 + }, + { + "epoch": 0.23, + "learning_rate": 1.8400000000000003e-05, + "loss": 2.2635, + "step": 46 + }, + { + "epoch": 0.23, + "learning_rate": 1.88e-05, + "loss": 2.3159, + "step": 47 + }, + { + "epoch": 0.24, + "learning_rate": 1.9200000000000003e-05, + "loss": 2.3025, + "step": 48 + }, + { + "epoch": 0.24, + "learning_rate": 1.9600000000000002e-05, + "loss": 2.2919, + "step": 49 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 2.2955, + "step": 50 + }, + { + "epoch": 0.26, + "learning_rate": 1.9996638655462187e-05, + "loss": 2.3036, + "step": 51 + }, + { + "epoch": 0.26, + "learning_rate": 1.999327731092437e-05, + "loss": 2.3009, + "step": 52 + }, + { + "epoch": 0.27, + "learning_rate": 1.9989915966386558e-05, + "loss": 2.2988, + "step": 53 + }, + { + "epoch": 0.27, + "learning_rate": 1.998655462184874e-05, + "loss": 2.3046, + "step": 54 + }, + { + "epoch": 0.28, + "learning_rate": 1.9983193277310926e-05, + "loss": 2.2615, + "step": 55 + }, + { + "epoch": 0.28, + "learning_rate": 1.997983193277311e-05, + "loss": 2.367, + "step": 56 + }, + { + "epoch": 0.28, + "learning_rate": 1.9976470588235294e-05, + "loss": 2.2856, + "step": 57 + }, + { + "epoch": 0.29, + "learning_rate": 1.9973109243697483e-05, + "loss": 2.3332, + "step": 58 + }, + { + "epoch": 0.29, + "learning_rate": 1.9969747899159665e-05, + "loss": 2.2709, + "step": 59 + }, + { + "epoch": 0.3, + "learning_rate": 1.996638655462185e-05, + "loss": 2.295, + "step": 60 + }, + { + "epoch": 0.3, + "learning_rate": 1.9963025210084036e-05, + "loss": 2.2866, + "step": 61 + }, + { + "epoch": 0.31, + "learning_rate": 1.9959663865546218e-05, + "loss": 2.3238, + "step": 62 + }, + { + "epoch": 0.32, + "learning_rate": 1.9956302521008407e-05, + "loss": 2.3164, + "step": 63 + }, + { + "epoch": 0.32, + "learning_rate": 1.995294117647059e-05, + "loss": 2.3043, + "step": 64 + }, + { + "epoch": 0.33, + "learning_rate": 1.9949579831932774e-05, + "loss": 2.2801, + "step": 65 + }, + { + "epoch": 0.33, + "learning_rate": 1.994621848739496e-05, + "loss": 2.307, + "step": 66 + }, + { + "epoch": 0.34, + "learning_rate": 1.9942857142857142e-05, + "loss": 2.3254, + "step": 67 + }, + { + "epoch": 0.34, + "learning_rate": 1.993949579831933e-05, + "loss": 2.2569, + "step": 68 + }, + { + "epoch": 0.34, + "learning_rate": 1.9936134453781517e-05, + "loss": 2.2958, + "step": 69 + }, + { + "epoch": 0.35, + "learning_rate": 1.99327731092437e-05, + "loss": 2.2851, + "step": 70 + }, + { + "epoch": 0.35, + "learning_rate": 1.9929411764705884e-05, + "loss": 2.2945, + "step": 71 + }, + { + "epoch": 0.36, + "learning_rate": 1.992605042016807e-05, + "loss": 2.2453, + "step": 72 + }, + { + "epoch": 0.36, + "learning_rate": 1.9922689075630252e-05, + "loss": 2.2781, + "step": 73 + }, + { + "epoch": 0.37, + "learning_rate": 1.991932773109244e-05, + "loss": 2.2673, + "step": 74 + }, + { + "epoch": 0.38, + "learning_rate": 1.9915966386554623e-05, + "loss": 2.3007, + "step": 75 + }, + { + "epoch": 0.38, + "learning_rate": 1.991260504201681e-05, + "loss": 2.2895, + "step": 76 + }, + { + "epoch": 0.39, + "learning_rate": 1.9909243697478994e-05, + "loss": 2.3123, + "step": 77 + }, + { + "epoch": 0.39, + "learning_rate": 1.9905882352941176e-05, + "loss": 2.278, + "step": 78 + }, + { + "epoch": 0.4, + "learning_rate": 1.9902521008403365e-05, + "loss": 2.2656, + "step": 79 + }, + { + "epoch": 0.4, + "learning_rate": 1.9899159663865547e-05, + "loss": 2.2792, + "step": 80 + }, + { + "epoch": 0.41, + "learning_rate": 1.9895798319327733e-05, + "loss": 2.3126, + "step": 81 + }, + { + "epoch": 0.41, + "learning_rate": 1.989243697478992e-05, + "loss": 2.2945, + "step": 82 + }, + { + "epoch": 0.41, + "learning_rate": 1.98890756302521e-05, + "loss": 2.241, + "step": 83 + }, + { + "epoch": 0.42, + "learning_rate": 1.988571428571429e-05, + "loss": 2.284, + "step": 84 + }, + { + "epoch": 0.42, + "learning_rate": 1.988235294117647e-05, + "loss": 2.2631, + "step": 85 + }, + { + "epoch": 0.43, + "learning_rate": 1.9878991596638657e-05, + "loss": 2.2872, + "step": 86 + }, + { + "epoch": 0.43, + "learning_rate": 1.9875630252100843e-05, + "loss": 2.2896, + "step": 87 + }, + { + "epoch": 0.44, + "learning_rate": 1.9872268907563025e-05, + "loss": 2.2329, + "step": 88 + }, + { + "epoch": 0.45, + "learning_rate": 1.9868907563025214e-05, + "loss": 2.3305, + "step": 89 + }, + { + "epoch": 0.45, + "learning_rate": 1.9865546218487396e-05, + "loss": 2.3074, + "step": 90 + }, + { + "epoch": 0.46, + "learning_rate": 1.986218487394958e-05, + "loss": 2.2731, + "step": 91 + }, + { + "epoch": 0.46, + "learning_rate": 1.9858823529411767e-05, + "loss": 2.3038, + "step": 92 + }, + { + "epoch": 0.47, + "learning_rate": 1.985546218487395e-05, + "loss": 2.2937, + "step": 93 + }, + { + "epoch": 0.47, + "learning_rate": 1.9852100840336138e-05, + "loss": 2.1582, + "step": 94 + }, + { + "epoch": 0.47, + "learning_rate": 1.984873949579832e-05, + "loss": 2.3032, + "step": 95 + }, + { + "epoch": 0.48, + "learning_rate": 1.9845378151260506e-05, + "loss": 2.265, + "step": 96 + }, + { + "epoch": 0.48, + "learning_rate": 1.984201680672269e-05, + "loss": 2.2798, + "step": 97 + }, + { + "epoch": 0.49, + "learning_rate": 1.9838655462184873e-05, + "loss": 2.2206, + "step": 98 + }, + { + "epoch": 0.49, + "learning_rate": 1.9835294117647062e-05, + "loss": 2.338, + "step": 99 + }, + { + "epoch": 0.5, + "learning_rate": 1.9831932773109244e-05, + "loss": 2.3373, + "step": 100 + }, + { + "epoch": 0.51, + "learning_rate": 1.982857142857143e-05, + "loss": 2.3116, + "step": 101 + }, + { + "epoch": 0.51, + "learning_rate": 1.9825210084033615e-05, + "loss": 2.3067, + "step": 102 + }, + { + "epoch": 0.52, + "learning_rate": 1.9821848739495798e-05, + "loss": 2.291, + "step": 103 + }, + { + "epoch": 0.52, + "learning_rate": 1.9818487394957987e-05, + "loss": 2.3078, + "step": 104 + }, + { + "epoch": 0.53, + "learning_rate": 1.981512605042017e-05, + "loss": 2.2605, + "step": 105 + }, + { + "epoch": 0.53, + "learning_rate": 1.9811764705882354e-05, + "loss": 2.1986, + "step": 106 + }, + { + "epoch": 0.54, + "learning_rate": 1.980840336134454e-05, + "loss": 2.2306, + "step": 107 + }, + { + "epoch": 0.54, + "learning_rate": 1.9805042016806725e-05, + "loss": 2.3373, + "step": 108 + }, + { + "epoch": 0.55, + "learning_rate": 1.9801680672268907e-05, + "loss": 2.336, + "step": 109 + }, + { + "epoch": 0.55, + "learning_rate": 1.9798319327731096e-05, + "loss": 2.2424, + "step": 110 + }, + { + "epoch": 0.56, + "learning_rate": 1.979495798319328e-05, + "loss": 2.2634, + "step": 111 + }, + { + "epoch": 0.56, + "learning_rate": 1.9791596638655464e-05, + "loss": 2.2579, + "step": 112 + }, + { + "epoch": 0.56, + "learning_rate": 1.978823529411765e-05, + "loss": 2.2928, + "step": 113 + }, + { + "epoch": 0.57, + "learning_rate": 1.978487394957983e-05, + "loss": 2.2818, + "step": 114 + }, + { + "epoch": 0.57, + "learning_rate": 1.978151260504202e-05, + "loss": 2.3377, + "step": 115 + }, + { + "epoch": 0.58, + "learning_rate": 1.9778151260504203e-05, + "loss": 2.2506, + "step": 116 + }, + { + "epoch": 0.58, + "learning_rate": 1.9774789915966388e-05, + "loss": 2.2921, + "step": 117 + }, + { + "epoch": 0.59, + "learning_rate": 1.9771428571428574e-05, + "loss": 2.3005, + "step": 118 + }, + { + "epoch": 0.59, + "learning_rate": 1.9768067226890756e-05, + "loss": 2.2883, + "step": 119 + }, + { + "epoch": 0.6, + "learning_rate": 1.9764705882352945e-05, + "loss": 2.296, + "step": 120 + }, + { + "epoch": 0.6, + "learning_rate": 1.9761344537815127e-05, + "loss": 2.2642, + "step": 121 + }, + { + "epoch": 0.61, + "learning_rate": 1.9757983193277313e-05, + "loss": 2.2307, + "step": 122 + }, + { + "epoch": 0.61, + "learning_rate": 1.9754621848739498e-05, + "loss": 2.1112, + "step": 123 + }, + { + "epoch": 0.62, + "learning_rate": 1.975126050420168e-05, + "loss": 2.1289, + "step": 124 + }, + { + "epoch": 0.62, + "learning_rate": 1.974789915966387e-05, + "loss": 2.2031, + "step": 125 + }, + { + "epoch": 0.63, + "learning_rate": 1.974453781512605e-05, + "loss": 2.285, + "step": 126 + }, + { + "epoch": 0.64, + "learning_rate": 1.9741176470588237e-05, + "loss": 2.3052, + "step": 127 + }, + { + "epoch": 0.64, + "learning_rate": 1.9737815126050422e-05, + "loss": 2.2059, + "step": 128 + }, + { + "epoch": 0.65, + "learning_rate": 1.9734453781512604e-05, + "loss": 2.3145, + "step": 129 + }, + { + "epoch": 0.65, + "learning_rate": 1.9731092436974793e-05, + "loss": 2.1748, + "step": 130 + }, + { + "epoch": 0.66, + "learning_rate": 1.9727731092436976e-05, + "loss": 2.2838, + "step": 131 + }, + { + "epoch": 0.66, + "learning_rate": 1.972436974789916e-05, + "loss": 2.2851, + "step": 132 + }, + { + "epoch": 0.67, + "learning_rate": 1.9721008403361347e-05, + "loss": 2.2032, + "step": 133 + }, + { + "epoch": 0.67, + "learning_rate": 1.971764705882353e-05, + "loss": 2.2316, + "step": 134 + }, + { + "epoch": 0.68, + "learning_rate": 1.9714285714285718e-05, + "loss": 2.3008, + "step": 135 + }, + { + "epoch": 0.68, + "learning_rate": 1.97109243697479e-05, + "loss": 2.2964, + "step": 136 + }, + { + "epoch": 0.69, + "learning_rate": 1.9707563025210085e-05, + "loss": 2.2965, + "step": 137 + }, + { + "epoch": 0.69, + "learning_rate": 1.970420168067227e-05, + "loss": 2.1756, + "step": 138 + }, + { + "epoch": 0.69, + "learning_rate": 1.9700840336134453e-05, + "loss": 2.2896, + "step": 139 + }, + { + "epoch": 0.7, + "learning_rate": 1.9697478991596642e-05, + "loss": 2.2854, + "step": 140 + }, + { + "epoch": 0.7, + "learning_rate": 1.9694117647058824e-05, + "loss": 2.2422, + "step": 141 + }, + { + "epoch": 0.71, + "learning_rate": 1.969075630252101e-05, + "loss": 2.3281, + "step": 142 + }, + { + "epoch": 0.71, + "learning_rate": 1.9687394957983195e-05, + "loss": 2.2908, + "step": 143 + }, + { + "epoch": 0.72, + "learning_rate": 1.968403361344538e-05, + "loss": 2.3877, + "step": 144 + }, + { + "epoch": 0.72, + "learning_rate": 1.9680672268907563e-05, + "loss": 2.3331, + "step": 145 + }, + { + "epoch": 0.73, + "learning_rate": 1.9677310924369752e-05, + "loss": 2.1965, + "step": 146 + }, + { + "epoch": 0.73, + "learning_rate": 1.9673949579831934e-05, + "loss": 2.283, + "step": 147 + }, + { + "epoch": 0.74, + "learning_rate": 1.967058823529412e-05, + "loss": 2.2808, + "step": 148 + }, + { + "epoch": 0.74, + "learning_rate": 1.9667226890756305e-05, + "loss": 2.062, + "step": 149 + }, + { + "epoch": 0.75, + "learning_rate": 1.9663865546218487e-05, + "loss": 2.2781, + "step": 150 + }, + { + "epoch": 0.76, + "learning_rate": 1.9660504201680676e-05, + "loss": 2.1279, + "step": 151 + }, + { + "epoch": 0.76, + "learning_rate": 1.9657142857142858e-05, + "loss": 2.3258, + "step": 152 + }, + { + "epoch": 0.77, + "learning_rate": 1.9653781512605044e-05, + "loss": 2.2646, + "step": 153 + }, + { + "epoch": 0.77, + "learning_rate": 1.965042016806723e-05, + "loss": 2.2225, + "step": 154 + }, + { + "epoch": 0.78, + "learning_rate": 1.964705882352941e-05, + "loss": 2.3337, + "step": 155 + }, + { + "epoch": 0.78, + "learning_rate": 1.96436974789916e-05, + "loss": 2.1836, + "step": 156 + }, + { + "epoch": 0.79, + "learning_rate": 1.9640336134453782e-05, + "loss": 2.219, + "step": 157 + }, + { + "epoch": 0.79, + "learning_rate": 1.9636974789915968e-05, + "loss": 2.2647, + "step": 158 + }, + { + "epoch": 0.8, + "learning_rate": 1.9633613445378154e-05, + "loss": 2.1573, + "step": 159 + }, + { + "epoch": 0.8, + "learning_rate": 1.9630252100840336e-05, + "loss": 2.2835, + "step": 160 + }, + { + "epoch": 0.81, + "learning_rate": 1.9626890756302525e-05, + "loss": 2.16, + "step": 161 + }, + { + "epoch": 0.81, + "learning_rate": 1.9623529411764707e-05, + "loss": 2.3133, + "step": 162 + }, + { + "epoch": 0.81, + "learning_rate": 1.9620168067226892e-05, + "loss": 2.2278, + "step": 163 + }, + { + "epoch": 0.82, + "learning_rate": 1.9616806722689078e-05, + "loss": 2.2649, + "step": 164 + }, + { + "epoch": 0.82, + "learning_rate": 1.961344537815126e-05, + "loss": 2.208, + "step": 165 + }, + { + "epoch": 0.83, + "learning_rate": 1.961008403361345e-05, + "loss": 2.18, + "step": 166 + }, + { + "epoch": 0.83, + "learning_rate": 1.960672268907563e-05, + "loss": 2.1596, + "step": 167 + }, + { + "epoch": 0.84, + "learning_rate": 1.9603361344537817e-05, + "loss": 2.2214, + "step": 168 + }, + { + "epoch": 0.84, + "learning_rate": 1.9600000000000002e-05, + "loss": 2.1067, + "step": 169 + }, + { + "epoch": 0.85, + "learning_rate": 1.9596638655462184e-05, + "loss": 2.1739, + "step": 170 + }, + { + "epoch": 0.85, + "learning_rate": 1.9593277310924373e-05, + "loss": 2.2896, + "step": 171 + }, + { + "epoch": 0.86, + "learning_rate": 1.9589915966386555e-05, + "loss": 2.3536, + "step": 172 + }, + { + "epoch": 0.86, + "learning_rate": 1.958655462184874e-05, + "loss": 2.1524, + "step": 173 + }, + { + "epoch": 0.87, + "learning_rate": 1.9583193277310926e-05, + "loss": 2.1894, + "step": 174 + }, + { + "epoch": 0.88, + "learning_rate": 1.957983193277311e-05, + "loss": 2.2564, + "step": 175 + }, + { + "epoch": 0.88, + "learning_rate": 1.9576470588235297e-05, + "loss": 2.1979, + "step": 176 + }, + { + "epoch": 0.89, + "learning_rate": 1.957310924369748e-05, + "loss": 2.2356, + "step": 177 + }, + { + "epoch": 0.89, + "learning_rate": 1.9569747899159665e-05, + "loss": 2.2016, + "step": 178 + }, + { + "epoch": 0.9, + "learning_rate": 1.956638655462185e-05, + "loss": 2.1158, + "step": 179 + }, + { + "epoch": 0.9, + "learning_rate": 1.9563025210084036e-05, + "loss": 2.1725, + "step": 180 + }, + { + "epoch": 0.91, + "learning_rate": 1.9559663865546218e-05, + "loss": 2.0637, + "step": 181 + }, + { + "epoch": 0.91, + "learning_rate": 1.9556302521008407e-05, + "loss": 2.1161, + "step": 182 + }, + { + "epoch": 0.92, + "learning_rate": 1.955294117647059e-05, + "loss": 2.1781, + "step": 183 + }, + { + "epoch": 0.92, + "learning_rate": 1.9549579831932775e-05, + "loss": 2.1281, + "step": 184 + }, + { + "epoch": 0.93, + "learning_rate": 1.954621848739496e-05, + "loss": 2.2477, + "step": 185 + }, + { + "epoch": 0.93, + "learning_rate": 1.9542857142857143e-05, + "loss": 2.23, + "step": 186 + }, + { + "epoch": 0.94, + "learning_rate": 1.953949579831933e-05, + "loss": 2.0836, + "step": 187 + }, + { + "epoch": 0.94, + "learning_rate": 1.9536134453781514e-05, + "loss": 2.1333, + "step": 188 + }, + { + "epoch": 0.94, + "learning_rate": 1.95327731092437e-05, + "loss": 2.202, + "step": 189 + }, + { + "epoch": 0.95, + "learning_rate": 1.9529411764705885e-05, + "loss": 2.3619, + "step": 190 + }, + { + "epoch": 0.95, + "learning_rate": 1.9526050420168067e-05, + "loss": 2.1246, + "step": 191 + }, + { + "epoch": 0.96, + "learning_rate": 1.9522689075630256e-05, + "loss": 2.2703, + "step": 192 + }, + { + "epoch": 0.96, + "learning_rate": 1.9519327731092438e-05, + "loss": 2.1289, + "step": 193 + }, + { + "epoch": 0.97, + "learning_rate": 1.9515966386554623e-05, + "loss": 2.2514, + "step": 194 + }, + { + "epoch": 0.97, + "learning_rate": 1.951260504201681e-05, + "loss": 2.1984, + "step": 195 + }, + { + "epoch": 0.98, + "learning_rate": 1.950924369747899e-05, + "loss": 2.0112, + "step": 196 + }, + { + "epoch": 0.98, + "learning_rate": 1.950588235294118e-05, + "loss": 2.0567, + "step": 197 + }, + { + "epoch": 0.99, + "learning_rate": 1.9502521008403362e-05, + "loss": 2.1612, + "step": 198 + }, + { + "epoch": 0.99, + "learning_rate": 1.9499159663865548e-05, + "loss": 2.1451, + "step": 199 + }, + { + "epoch": 1.0, + "learning_rate": 1.9495798319327733e-05, + "loss": 2.1371, + "step": 200 + }, + { + "epoch": 1.0, + "eval_accuracy": 0.3, + "eval_loss": 2.118095874786377, + "eval_roc_auc": 0.7721083373752153, + "eval_runtime": 58.7545, + "eval_samples_per_second": 3.404, + "eval_steps_per_second": 0.851, + "step": 200 + }, + { + "epoch": 1.0, + "learning_rate": 1.9492436974789915e-05, + "loss": 2.0233, + "step": 201 + }, + { + "epoch": 1.01, + "learning_rate": 1.9489075630252104e-05, + "loss": 2.2324, + "step": 202 + }, + { + "epoch": 1.01, + "learning_rate": 1.9485714285714286e-05, + "loss": 2.1259, + "step": 203 + }, + { + "epoch": 1.02, + "learning_rate": 1.9482352941176472e-05, + "loss": 2.2748, + "step": 204 + }, + { + "epoch": 1.02, + "learning_rate": 1.9478991596638658e-05, + "loss": 2.1608, + "step": 205 + }, + { + "epoch": 1.03, + "learning_rate": 1.947563025210084e-05, + "loss": 2.2892, + "step": 206 + }, + { + "epoch": 1.03, + "learning_rate": 1.947226890756303e-05, + "loss": 2.1371, + "step": 207 + }, + { + "epoch": 1.04, + "learning_rate": 1.946890756302521e-05, + "loss": 2.1179, + "step": 208 + }, + { + "epoch": 1.04, + "learning_rate": 1.9465546218487396e-05, + "loss": 2.209, + "step": 209 + }, + { + "epoch": 1.05, + "learning_rate": 1.9462184873949582e-05, + "loss": 2.3749, + "step": 210 + }, + { + "epoch": 1.05, + "learning_rate": 1.9458823529411764e-05, + "loss": 1.9511, + "step": 211 + }, + { + "epoch": 1.06, + "learning_rate": 1.9455462184873953e-05, + "loss": 2.0339, + "step": 212 + }, + { + "epoch": 1.06, + "learning_rate": 1.9452100840336135e-05, + "loss": 2.3484, + "step": 213 + }, + { + "epoch": 1.07, + "learning_rate": 1.944873949579832e-05, + "loss": 2.3043, + "step": 214 + }, + { + "epoch": 1.07, + "learning_rate": 1.9445378151260506e-05, + "loss": 2.1637, + "step": 215 + }, + { + "epoch": 1.08, + "learning_rate": 1.944201680672269e-05, + "loss": 1.995, + "step": 216 + }, + { + "epoch": 1.08, + "learning_rate": 1.9438655462184877e-05, + "loss": 1.9957, + "step": 217 + }, + { + "epoch": 1.09, + "learning_rate": 1.9435294117647063e-05, + "loss": 2.0313, + "step": 218 + }, + { + "epoch": 1.09, + "learning_rate": 1.9431932773109245e-05, + "loss": 2.1223, + "step": 219 + }, + { + "epoch": 1.1, + "learning_rate": 1.942857142857143e-05, + "loss": 2.1389, + "step": 220 + }, + { + "epoch": 1.1, + "learning_rate": 1.9425210084033616e-05, + "loss": 1.9642, + "step": 221 + }, + { + "epoch": 1.11, + "learning_rate": 1.9421848739495798e-05, + "loss": 2.2689, + "step": 222 + }, + { + "epoch": 1.11, + "learning_rate": 1.9418487394957987e-05, + "loss": 2.1715, + "step": 223 + }, + { + "epoch": 1.12, + "learning_rate": 1.941512605042017e-05, + "loss": 2.2235, + "step": 224 + }, + { + "epoch": 1.12, + "learning_rate": 1.9411764705882355e-05, + "loss": 2.2061, + "step": 225 + }, + { + "epoch": 1.13, + "learning_rate": 1.940840336134454e-05, + "loss": 2.176, + "step": 226 + }, + { + "epoch": 1.14, + "learning_rate": 1.9405042016806722e-05, + "loss": 2.466, + "step": 227 + }, + { + "epoch": 1.14, + "learning_rate": 1.940168067226891e-05, + "loss": 2.0916, + "step": 228 + }, + { + "epoch": 1.15, + "learning_rate": 1.9398319327731093e-05, + "loss": 2.1565, + "step": 229 + }, + { + "epoch": 1.15, + "learning_rate": 1.939495798319328e-05, + "loss": 2.1997, + "step": 230 + }, + { + "epoch": 1.16, + "learning_rate": 1.9391596638655464e-05, + "loss": 2.115, + "step": 231 + }, + { + "epoch": 1.16, + "learning_rate": 1.9388235294117647e-05, + "loss": 2.1018, + "step": 232 + }, + { + "epoch": 1.17, + "learning_rate": 1.9384873949579836e-05, + "loss": 2.0767, + "step": 233 + }, + { + "epoch": 1.17, + "learning_rate": 1.9381512605042018e-05, + "loss": 2.26, + "step": 234 + }, + { + "epoch": 1.18, + "learning_rate": 1.9378151260504203e-05, + "loss": 2.3229, + "step": 235 + }, + { + "epoch": 1.18, + "learning_rate": 1.937478991596639e-05, + "loss": 2.1546, + "step": 236 + }, + { + "epoch": 1.19, + "learning_rate": 1.937142857142857e-05, + "loss": 2.1916, + "step": 237 + }, + { + "epoch": 1.19, + "learning_rate": 1.936806722689076e-05, + "loss": 2.1632, + "step": 238 + }, + { + "epoch": 1.2, + "learning_rate": 1.9364705882352942e-05, + "loss": 2.1589, + "step": 239 + }, + { + "epoch": 1.2, + "learning_rate": 1.9361344537815127e-05, + "loss": 2.274, + "step": 240 + }, + { + "epoch": 1.21, + "learning_rate": 1.9357983193277313e-05, + "loss": 2.0093, + "step": 241 + }, + { + "epoch": 1.21, + "learning_rate": 1.9354621848739495e-05, + "loss": 2.1726, + "step": 242 + }, + { + "epoch": 1.22, + "learning_rate": 1.9351260504201684e-05, + "loss": 2.2464, + "step": 243 + }, + { + "epoch": 1.22, + "learning_rate": 1.9347899159663866e-05, + "loss": 1.8284, + "step": 244 + }, + { + "epoch": 1.23, + "learning_rate": 1.9344537815126052e-05, + "loss": 2.1741, + "step": 245 + }, + { + "epoch": 1.23, + "learning_rate": 1.9341176470588237e-05, + "loss": 2.2566, + "step": 246 + }, + { + "epoch": 1.23, + "learning_rate": 1.933781512605042e-05, + "loss": 1.9863, + "step": 247 + }, + { + "epoch": 1.24, + "learning_rate": 1.933445378151261e-05, + "loss": 1.9935, + "step": 248 + }, + { + "epoch": 1.25, + "learning_rate": 1.933109243697479e-05, + "loss": 2.135, + "step": 249 + }, + { + "epoch": 1.25, + "learning_rate": 1.9327731092436976e-05, + "loss": 2.2952, + "step": 250 + }, + { + "epoch": 1.25, + "learning_rate": 1.932436974789916e-05, + "loss": 2.1818, + "step": 251 + }, + { + "epoch": 1.26, + "learning_rate": 1.9321008403361347e-05, + "loss": 2.0204, + "step": 252 + }, + { + "epoch": 1.27, + "learning_rate": 1.9317647058823533e-05, + "loss": 1.9787, + "step": 253 + }, + { + "epoch": 1.27, + "learning_rate": 1.9314285714285718e-05, + "loss": 2.1486, + "step": 254 + }, + { + "epoch": 1.27, + "learning_rate": 1.93109243697479e-05, + "loss": 2.1109, + "step": 255 + }, + { + "epoch": 1.28, + "learning_rate": 1.9307563025210086e-05, + "loss": 2.082, + "step": 256 + }, + { + "epoch": 1.28, + "learning_rate": 1.930420168067227e-05, + "loss": 2.2629, + "step": 257 + }, + { + "epoch": 1.29, + "learning_rate": 1.9300840336134453e-05, + "loss": 2.1818, + "step": 258 + }, + { + "epoch": 1.29, + "learning_rate": 1.9297478991596642e-05, + "loss": 1.7298, + "step": 259 + }, + { + "epoch": 1.3, + "learning_rate": 1.9294117647058825e-05, + "loss": 2.0072, + "step": 260 + }, + { + "epoch": 1.3, + "learning_rate": 1.929075630252101e-05, + "loss": 2.1513, + "step": 261 + }, + { + "epoch": 1.31, + "learning_rate": 1.9287394957983196e-05, + "loss": 1.9591, + "step": 262 + }, + { + "epoch": 1.31, + "learning_rate": 1.9284033613445378e-05, + "loss": 2.1996, + "step": 263 + }, + { + "epoch": 1.32, + "learning_rate": 1.9280672268907567e-05, + "loss": 2.2453, + "step": 264 + }, + { + "epoch": 1.32, + "learning_rate": 1.927731092436975e-05, + "loss": 1.8925, + "step": 265 + }, + { + "epoch": 1.33, + "learning_rate": 1.9273949579831934e-05, + "loss": 2.0476, + "step": 266 + }, + { + "epoch": 1.33, + "learning_rate": 1.927058823529412e-05, + "loss": 2.1142, + "step": 267 + }, + { + "epoch": 1.34, + "learning_rate": 1.9267226890756302e-05, + "loss": 2.2715, + "step": 268 + }, + { + "epoch": 1.34, + "learning_rate": 1.926386554621849e-05, + "loss": 2.0398, + "step": 269 + }, + { + "epoch": 1.35, + "learning_rate": 1.9260504201680673e-05, + "loss": 2.0163, + "step": 270 + }, + { + "epoch": 1.35, + "learning_rate": 1.925714285714286e-05, + "loss": 2.2492, + "step": 271 + }, + { + "epoch": 1.36, + "learning_rate": 1.9253781512605044e-05, + "loss": 1.9059, + "step": 272 + }, + { + "epoch": 1.36, + "learning_rate": 1.9250420168067226e-05, + "loss": 2.1326, + "step": 273 + }, + { + "epoch": 1.37, + "learning_rate": 1.9247058823529415e-05, + "loss": 1.9758, + "step": 274 + }, + { + "epoch": 1.38, + "learning_rate": 1.9243697478991597e-05, + "loss": 2.1784, + "step": 275 + }, + { + "epoch": 1.38, + "learning_rate": 1.9240336134453783e-05, + "loss": 2.1073, + "step": 276 + }, + { + "epoch": 1.39, + "learning_rate": 1.923697478991597e-05, + "loss": 2.1101, + "step": 277 + }, + { + "epoch": 1.39, + "learning_rate": 1.923361344537815e-05, + "loss": 2.1448, + "step": 278 + }, + { + "epoch": 1.4, + "learning_rate": 1.923025210084034e-05, + "loss": 2.0659, + "step": 279 + }, + { + "epoch": 1.4, + "learning_rate": 1.922689075630252e-05, + "loss": 1.9676, + "step": 280 + }, + { + "epoch": 1.41, + "learning_rate": 1.9223529411764707e-05, + "loss": 2.05, + "step": 281 + }, + { + "epoch": 1.41, + "learning_rate": 1.9220168067226893e-05, + "loss": 1.886, + "step": 282 + }, + { + "epoch": 1.42, + "learning_rate": 1.9216806722689075e-05, + "loss": 1.9564, + "step": 283 + }, + { + "epoch": 1.42, + "learning_rate": 1.9213445378151264e-05, + "loss": 2.0472, + "step": 284 + }, + { + "epoch": 1.43, + "learning_rate": 1.9210084033613446e-05, + "loss": 1.8473, + "step": 285 + }, + { + "epoch": 1.43, + "learning_rate": 1.920672268907563e-05, + "loss": 1.9375, + "step": 286 + }, + { + "epoch": 1.44, + "learning_rate": 1.9203361344537817e-05, + "loss": 2.0933, + "step": 287 + }, + { + "epoch": 1.44, + "learning_rate": 1.9200000000000003e-05, + "loss": 2.1423, + "step": 288 + }, + { + "epoch": 1.45, + "learning_rate": 1.9196638655462188e-05, + "loss": 2.1453, + "step": 289 + }, + { + "epoch": 1.45, + "learning_rate": 1.9193277310924374e-05, + "loss": 2.0775, + "step": 290 + }, + { + "epoch": 1.46, + "learning_rate": 1.9189915966386556e-05, + "loss": 2.1421, + "step": 291 + }, + { + "epoch": 1.46, + "learning_rate": 1.918655462184874e-05, + "loss": 2.0388, + "step": 292 + }, + { + "epoch": 1.47, + "learning_rate": 1.9183193277310927e-05, + "loss": 2.2073, + "step": 293 + }, + { + "epoch": 1.47, + "learning_rate": 1.917983193277311e-05, + "loss": 2.4148, + "step": 294 + }, + { + "epoch": 1.48, + "learning_rate": 1.9176470588235298e-05, + "loss": 2.2414, + "step": 295 + }, + { + "epoch": 1.48, + "learning_rate": 1.917310924369748e-05, + "loss": 2.2067, + "step": 296 + }, + { + "epoch": 1.48, + "learning_rate": 1.9169747899159666e-05, + "loss": 2.0834, + "step": 297 + }, + { + "epoch": 1.49, + "learning_rate": 1.916638655462185e-05, + "loss": 1.9792, + "step": 298 + }, + { + "epoch": 1.5, + "learning_rate": 1.9163025210084033e-05, + "loss": 2.0492, + "step": 299 + }, + { + "epoch": 1.5, + "learning_rate": 1.9159663865546222e-05, + "loss": 1.9641, + "step": 300 + }, + { + "epoch": 1.5, + "learning_rate": 1.9156302521008404e-05, + "loss": 1.9893, + "step": 301 + }, + { + "epoch": 1.51, + "learning_rate": 1.915294117647059e-05, + "loss": 1.9471, + "step": 302 + }, + { + "epoch": 1.52, + "learning_rate": 1.9149579831932775e-05, + "loss": 2.0785, + "step": 303 + }, + { + "epoch": 1.52, + "learning_rate": 1.9146218487394957e-05, + "loss": 1.827, + "step": 304 + }, + { + "epoch": 1.52, + "learning_rate": 1.9142857142857146e-05, + "loss": 2.0895, + "step": 305 + }, + { + "epoch": 1.53, + "learning_rate": 1.913949579831933e-05, + "loss": 2.0329, + "step": 306 + }, + { + "epoch": 1.54, + "learning_rate": 1.9136134453781514e-05, + "loss": 1.7962, + "step": 307 + }, + { + "epoch": 1.54, + "learning_rate": 1.91327731092437e-05, + "loss": 1.8372, + "step": 308 + }, + { + "epoch": 1.54, + "learning_rate": 1.9129411764705882e-05, + "loss": 1.7739, + "step": 309 + }, + { + "epoch": 1.55, + "learning_rate": 1.912605042016807e-05, + "loss": 2.0009, + "step": 310 + }, + { + "epoch": 1.56, + "learning_rate": 1.9122689075630253e-05, + "loss": 2.0675, + "step": 311 + }, + { + "epoch": 1.56, + "learning_rate": 1.911932773109244e-05, + "loss": 2.1334, + "step": 312 + }, + { + "epoch": 1.56, + "learning_rate": 1.9115966386554624e-05, + "loss": 2.2596, + "step": 313 + }, + { + "epoch": 1.57, + "learning_rate": 1.9112605042016806e-05, + "loss": 1.7084, + "step": 314 + }, + { + "epoch": 1.57, + "learning_rate": 1.9109243697478995e-05, + "loss": 1.9176, + "step": 315 + }, + { + "epoch": 1.58, + "learning_rate": 1.9105882352941177e-05, + "loss": 2.1428, + "step": 316 + }, + { + "epoch": 1.58, + "learning_rate": 1.9102521008403363e-05, + "loss": 1.9649, + "step": 317 + }, + { + "epoch": 1.59, + "learning_rate": 1.9099159663865548e-05, + "loss": 1.8366, + "step": 318 + }, + { + "epoch": 1.59, + "learning_rate": 1.909579831932773e-05, + "loss": 2.1284, + "step": 319 + }, + { + "epoch": 1.6, + "learning_rate": 1.909243697478992e-05, + "loss": 2.3489, + "step": 320 + }, + { + "epoch": 1.6, + "learning_rate": 1.90890756302521e-05, + "loss": 1.7451, + "step": 321 + }, + { + "epoch": 1.61, + "learning_rate": 1.9085714285714287e-05, + "loss": 2.3406, + "step": 322 + }, + { + "epoch": 1.61, + "learning_rate": 1.9082352941176472e-05, + "loss": 2.072, + "step": 323 + }, + { + "epoch": 1.62, + "learning_rate": 1.9078991596638658e-05, + "loss": 2.0909, + "step": 324 + }, + { + "epoch": 1.62, + "learning_rate": 1.9075630252100844e-05, + "loss": 1.8938, + "step": 325 + }, + { + "epoch": 1.63, + "learning_rate": 1.907226890756303e-05, + "loss": 1.8686, + "step": 326 + }, + { + "epoch": 1.64, + "learning_rate": 1.906890756302521e-05, + "loss": 2.7799, + "step": 327 + }, + { + "epoch": 1.64, + "learning_rate": 1.9065546218487397e-05, + "loss": 2.1545, + "step": 328 + }, + { + "epoch": 1.65, + "learning_rate": 1.9062184873949582e-05, + "loss": 2.3907, + "step": 329 + }, + { + "epoch": 1.65, + "learning_rate": 1.9058823529411764e-05, + "loss": 1.9515, + "step": 330 + }, + { + "epoch": 1.66, + "learning_rate": 1.9055462184873953e-05, + "loss": 1.8487, + "step": 331 + }, + { + "epoch": 1.66, + "learning_rate": 1.9052100840336135e-05, + "loss": 2.2026, + "step": 332 + }, + { + "epoch": 1.67, + "learning_rate": 1.904873949579832e-05, + "loss": 2.1249, + "step": 333 + }, + { + "epoch": 1.67, + "learning_rate": 1.9045378151260507e-05, + "loss": 2.3634, + "step": 334 + }, + { + "epoch": 1.68, + "learning_rate": 1.904201680672269e-05, + "loss": 2.037, + "step": 335 + }, + { + "epoch": 1.68, + "learning_rate": 1.9038655462184878e-05, + "loss": 1.7596, + "step": 336 + }, + { + "epoch": 1.69, + "learning_rate": 1.903529411764706e-05, + "loss": 2.0421, + "step": 337 + }, + { + "epoch": 1.69, + "learning_rate": 1.9031932773109245e-05, + "loss": 1.8423, + "step": 338 + }, + { + "epoch": 1.69, + "learning_rate": 1.902857142857143e-05, + "loss": 1.9725, + "step": 339 + }, + { + "epoch": 1.7, + "learning_rate": 1.9025210084033613e-05, + "loss": 1.921, + "step": 340 + }, + { + "epoch": 1.71, + "learning_rate": 1.9021848739495802e-05, + "loss": 2.1374, + "step": 341 + }, + { + "epoch": 1.71, + "learning_rate": 1.9018487394957984e-05, + "loss": 1.9249, + "step": 342 + }, + { + "epoch": 1.71, + "learning_rate": 1.901512605042017e-05, + "loss": 2.0737, + "step": 343 + }, + { + "epoch": 1.72, + "learning_rate": 1.9011764705882355e-05, + "loss": 1.8859, + "step": 344 + }, + { + "epoch": 1.73, + "learning_rate": 1.9008403361344537e-05, + "loss": 1.7742, + "step": 345 + }, + { + "epoch": 1.73, + "learning_rate": 1.9005042016806726e-05, + "loss": 1.8649, + "step": 346 + }, + { + "epoch": 1.73, + "learning_rate": 1.9001680672268908e-05, + "loss": 1.888, + "step": 347 + }, + { + "epoch": 1.74, + "learning_rate": 1.8998319327731094e-05, + "loss": 2.0102, + "step": 348 + }, + { + "epoch": 1.75, + "learning_rate": 1.899495798319328e-05, + "loss": 2.114, + "step": 349 + }, + { + "epoch": 1.75, + "learning_rate": 1.899159663865546e-05, + "loss": 1.8969, + "step": 350 + }, + { + "epoch": 1.75, + "learning_rate": 1.898823529411765e-05, + "loss": 2.1357, + "step": 351 + }, + { + "epoch": 1.76, + "learning_rate": 1.8984873949579833e-05, + "loss": 1.583, + "step": 352 + }, + { + "epoch": 1.77, + "learning_rate": 1.8981512605042018e-05, + "loss": 2.0414, + "step": 353 + }, + { + "epoch": 1.77, + "learning_rate": 1.8978151260504204e-05, + "loss": 1.8169, + "step": 354 + }, + { + "epoch": 1.77, + "learning_rate": 1.8974789915966386e-05, + "loss": 2.2517, + "step": 355 + }, + { + "epoch": 1.78, + "learning_rate": 1.8971428571428575e-05, + "loss": 2.0396, + "step": 356 + }, + { + "epoch": 1.79, + "learning_rate": 1.8968067226890757e-05, + "loss": 1.9488, + "step": 357 + }, + { + "epoch": 1.79, + "learning_rate": 1.8964705882352942e-05, + "loss": 2.3759, + "step": 358 + }, + { + "epoch": 1.79, + "learning_rate": 1.8961344537815128e-05, + "loss": 2.2074, + "step": 359 + }, + { + "epoch": 1.8, + "learning_rate": 1.8957983193277313e-05, + "loss": 1.6943, + "step": 360 + }, + { + "epoch": 1.81, + "learning_rate": 1.89546218487395e-05, + "loss": 2.414, + "step": 361 + }, + { + "epoch": 1.81, + "learning_rate": 1.8951260504201684e-05, + "loss": 1.9529, + "step": 362 + }, + { + "epoch": 1.81, + "learning_rate": 1.8947899159663867e-05, + "loss": 1.8601, + "step": 363 + }, + { + "epoch": 1.82, + "learning_rate": 1.8944537815126052e-05, + "loss": 1.923, + "step": 364 + }, + { + "epoch": 1.82, + "learning_rate": 1.8941176470588238e-05, + "loss": 2.0208, + "step": 365 + }, + { + "epoch": 1.83, + "learning_rate": 1.8937815126050423e-05, + "loss": 2.161, + "step": 366 + }, + { + "epoch": 1.83, + "learning_rate": 1.893445378151261e-05, + "loss": 2.1033, + "step": 367 + }, + { + "epoch": 1.84, + "learning_rate": 1.893109243697479e-05, + "loss": 1.8633, + "step": 368 + }, + { + "epoch": 1.84, + "learning_rate": 1.8927731092436976e-05, + "loss": 2.0891, + "step": 369 + }, + { + "epoch": 1.85, + "learning_rate": 1.8924369747899162e-05, + "loss": 1.9735, + "step": 370 + }, + { + "epoch": 1.85, + "learning_rate": 1.8921008403361344e-05, + "loss": 1.9688, + "step": 371 + }, + { + "epoch": 1.86, + "learning_rate": 1.8917647058823533e-05, + "loss": 2.0821, + "step": 372 + }, + { + "epoch": 1.86, + "learning_rate": 1.8914285714285715e-05, + "loss": 2.0718, + "step": 373 + }, + { + "epoch": 1.87, + "learning_rate": 1.89109243697479e-05, + "loss": 1.8702, + "step": 374 + }, + { + "epoch": 1.88, + "learning_rate": 1.8907563025210086e-05, + "loss": 1.9708, + "step": 375 + }, + { + "epoch": 1.88, + "learning_rate": 1.890420168067227e-05, + "loss": 2.0196, + "step": 376 + }, + { + "epoch": 1.89, + "learning_rate": 1.8900840336134457e-05, + "loss": 1.7016, + "step": 377 + }, + { + "epoch": 1.89, + "learning_rate": 1.889747899159664e-05, + "loss": 2.2473, + "step": 378 + }, + { + "epoch": 1.9, + "learning_rate": 1.8894117647058825e-05, + "loss": 1.7522, + "step": 379 + }, + { + "epoch": 1.9, + "learning_rate": 1.889075630252101e-05, + "loss": 2.5482, + "step": 380 + }, + { + "epoch": 1.91, + "learning_rate": 1.8887394957983193e-05, + "loss": 2.0142, + "step": 381 + }, + { + "epoch": 1.91, + "learning_rate": 1.888403361344538e-05, + "loss": 2.0453, + "step": 382 + }, + { + "epoch": 1.92, + "learning_rate": 1.8880672268907564e-05, + "loss": 2.124, + "step": 383 + }, + { + "epoch": 1.92, + "learning_rate": 1.887731092436975e-05, + "loss": 2.1261, + "step": 384 + }, + { + "epoch": 1.93, + "learning_rate": 1.8873949579831935e-05, + "loss": 1.7405, + "step": 385 + }, + { + "epoch": 1.93, + "learning_rate": 1.8870588235294117e-05, + "loss": 1.8042, + "step": 386 + }, + { + "epoch": 1.94, + "learning_rate": 1.8867226890756306e-05, + "loss": 2.1259, + "step": 387 + }, + { + "epoch": 1.94, + "learning_rate": 1.8863865546218488e-05, + "loss": 1.9636, + "step": 388 + }, + { + "epoch": 1.94, + "learning_rate": 1.8860504201680674e-05, + "loss": 2.2625, + "step": 389 + }, + { + "epoch": 1.95, + "learning_rate": 1.885714285714286e-05, + "loss": 1.5962, + "step": 390 + }, + { + "epoch": 1.96, + "learning_rate": 1.885378151260504e-05, + "loss": 1.919, + "step": 391 + }, + { + "epoch": 1.96, + "learning_rate": 1.885042016806723e-05, + "loss": 1.7178, + "step": 392 + }, + { + "epoch": 1.96, + "learning_rate": 1.8847058823529412e-05, + "loss": 2.3322, + "step": 393 + }, + { + "epoch": 1.97, + "learning_rate": 1.8843697478991598e-05, + "loss": 2.3881, + "step": 394 + }, + { + "epoch": 1.98, + "learning_rate": 1.8840336134453783e-05, + "loss": 1.9347, + "step": 395 + }, + { + "epoch": 1.98, + "learning_rate": 1.8836974789915965e-05, + "loss": 2.0182, + "step": 396 + }, + { + "epoch": 1.98, + "learning_rate": 1.8833613445378154e-05, + "loss": 1.9203, + "step": 397 + }, + { + "epoch": 1.99, + "learning_rate": 1.883025210084034e-05, + "loss": 2.1582, + "step": 398 + }, + { + "epoch": 2.0, + "learning_rate": 1.8826890756302522e-05, + "loss": 2.0647, + "step": 399 + }, + { + "epoch": 2.0, + "learning_rate": 1.8823529411764708e-05, + "loss": 2.2563, + "step": 400 + }, + { + "epoch": 2.0, + "eval_accuracy": 0.28, + "eval_loss": 1.902341365814209, + "eval_roc_auc": 0.8366067161833914, + "eval_runtime": 59.5049, + "eval_samples_per_second": 3.361, + "eval_steps_per_second": 0.84, + "step": 400 + }, + { + "epoch": 2.0, + "learning_rate": 1.8820168067226893e-05, + "loss": 2.0618, + "step": 401 + }, + { + "epoch": 2.01, + "learning_rate": 1.881680672268908e-05, + "loss": 2.1039, + "step": 402 + }, + { + "epoch": 2.02, + "learning_rate": 1.8813445378151264e-05, + "loss": 1.5442, + "step": 403 + }, + { + "epoch": 2.02, + "learning_rate": 1.8810084033613446e-05, + "loss": 1.7997, + "step": 404 + }, + { + "epoch": 2.02, + "learning_rate": 1.8806722689075632e-05, + "loss": 1.7819, + "step": 405 + }, + { + "epoch": 2.03, + "learning_rate": 1.8803361344537817e-05, + "loss": 1.8345, + "step": 406 + }, + { + "epoch": 2.04, + "learning_rate": 1.88e-05, + "loss": 1.7993, + "step": 407 + }, + { + "epoch": 2.04, + "learning_rate": 1.879663865546219e-05, + "loss": 1.6073, + "step": 408 + }, + { + "epoch": 2.04, + "learning_rate": 1.879327731092437e-05, + "loss": 1.9332, + "step": 409 + }, + { + "epoch": 2.05, + "learning_rate": 1.8789915966386556e-05, + "loss": 2.03, + "step": 410 + }, + { + "epoch": 2.06, + "learning_rate": 1.8786554621848742e-05, + "loss": 2.1001, + "step": 411 + }, + { + "epoch": 2.06, + "learning_rate": 1.8783193277310924e-05, + "loss": 1.915, + "step": 412 + }, + { + "epoch": 2.06, + "learning_rate": 1.8779831932773113e-05, + "loss": 2.1481, + "step": 413 + }, + { + "epoch": 2.07, + "learning_rate": 1.8776470588235295e-05, + "loss": 1.8495, + "step": 414 + }, + { + "epoch": 2.08, + "learning_rate": 1.877310924369748e-05, + "loss": 1.8398, + "step": 415 + }, + { + "epoch": 2.08, + "learning_rate": 1.8769747899159666e-05, + "loss": 1.9771, + "step": 416 + }, + { + "epoch": 2.08, + "learning_rate": 1.8766386554621848e-05, + "loss": 1.5915, + "step": 417 + }, + { + "epoch": 2.09, + "learning_rate": 1.8763025210084037e-05, + "loss": 1.9041, + "step": 418 + }, + { + "epoch": 2.1, + "learning_rate": 1.875966386554622e-05, + "loss": 1.848, + "step": 419 + }, + { + "epoch": 2.1, + "learning_rate": 1.8756302521008405e-05, + "loss": 2.2071, + "step": 420 + }, + { + "epoch": 2.1, + "learning_rate": 1.875294117647059e-05, + "loss": 1.9101, + "step": 421 + }, + { + "epoch": 2.11, + "learning_rate": 1.8749579831932772e-05, + "loss": 1.9875, + "step": 422 + }, + { + "epoch": 2.12, + "learning_rate": 1.874621848739496e-05, + "loss": 1.7308, + "step": 423 + }, + { + "epoch": 2.12, + "learning_rate": 1.8742857142857143e-05, + "loss": 1.732, + "step": 424 + }, + { + "epoch": 2.12, + "learning_rate": 1.873949579831933e-05, + "loss": 1.8892, + "step": 425 + }, + { + "epoch": 2.13, + "learning_rate": 1.8736134453781515e-05, + "loss": 1.659, + "step": 426 + }, + { + "epoch": 2.13, + "learning_rate": 1.8732773109243697e-05, + "loss": 1.8622, + "step": 427 + }, + { + "epoch": 2.14, + "learning_rate": 1.8729411764705886e-05, + "loss": 2.1981, + "step": 428 + }, + { + "epoch": 2.15, + "learning_rate": 1.8726050420168068e-05, + "loss": 1.9851, + "step": 429 + }, + { + "epoch": 2.15, + "learning_rate": 1.8722689075630253e-05, + "loss": 1.5509, + "step": 430 + }, + { + "epoch": 2.15, + "learning_rate": 1.871932773109244e-05, + "loss": 1.7414, + "step": 431 + }, + { + "epoch": 2.16, + "learning_rate": 1.871596638655462e-05, + "loss": 1.8089, + "step": 432 + }, + { + "epoch": 2.17, + "learning_rate": 1.871260504201681e-05, + "loss": 1.5327, + "step": 433 + }, + { + "epoch": 2.17, + "learning_rate": 1.8709243697478995e-05, + "loss": 1.9371, + "step": 434 + }, + { + "epoch": 2.17, + "learning_rate": 1.8705882352941178e-05, + "loss": 1.9705, + "step": 435 + }, + { + "epoch": 2.18, + "learning_rate": 1.8702521008403363e-05, + "loss": 1.9608, + "step": 436 + }, + { + "epoch": 2.19, + "learning_rate": 1.869915966386555e-05, + "loss": 1.6914, + "step": 437 + }, + { + "epoch": 2.19, + "learning_rate": 1.8695798319327734e-05, + "loss": 2.3185, + "step": 438 + }, + { + "epoch": 2.19, + "learning_rate": 1.869243697478992e-05, + "loss": 2.2655, + "step": 439 + }, + { + "epoch": 2.2, + "learning_rate": 1.8689075630252102e-05, + "loss": 1.63, + "step": 440 + }, + { + "epoch": 2.21, + "learning_rate": 1.8685714285714287e-05, + "loss": 1.736, + "step": 441 + }, + { + "epoch": 2.21, + "learning_rate": 1.8682352941176473e-05, + "loss": 2.0523, + "step": 442 + }, + { + "epoch": 2.21, + "learning_rate": 1.8678991596638655e-05, + "loss": 2.0194, + "step": 443 + }, + { + "epoch": 2.22, + "learning_rate": 1.8675630252100844e-05, + "loss": 1.7089, + "step": 444 + }, + { + "epoch": 2.23, + "learning_rate": 1.8672268907563026e-05, + "loss": 2.1277, + "step": 445 + }, + { + "epoch": 2.23, + "learning_rate": 1.866890756302521e-05, + "loss": 2.1716, + "step": 446 + }, + { + "epoch": 2.23, + "learning_rate": 1.8665546218487397e-05, + "loss": 1.6409, + "step": 447 + }, + { + "epoch": 2.24, + "learning_rate": 1.866218487394958e-05, + "loss": 1.4377, + "step": 448 + }, + { + "epoch": 2.25, + "learning_rate": 1.8658823529411768e-05, + "loss": 2.5808, + "step": 449 + }, + { + "epoch": 2.25, + "learning_rate": 1.865546218487395e-05, + "loss": 1.8293, + "step": 450 + }, + { + "epoch": 2.25, + "learning_rate": 1.8652100840336136e-05, + "loss": 1.9612, + "step": 451 + }, + { + "epoch": 2.26, + "learning_rate": 1.864873949579832e-05, + "loss": 2.0148, + "step": 452 + }, + { + "epoch": 2.27, + "learning_rate": 1.8645378151260504e-05, + "loss": 1.8255, + "step": 453 + }, + { + "epoch": 2.27, + "learning_rate": 1.8642016806722692e-05, + "loss": 2.4495, + "step": 454 + }, + { + "epoch": 2.27, + "learning_rate": 1.8638655462184875e-05, + "loss": 1.9947, + "step": 455 + }, + { + "epoch": 2.28, + "learning_rate": 1.863529411764706e-05, + "loss": 1.9012, + "step": 456 + }, + { + "epoch": 2.29, + "learning_rate": 1.8631932773109246e-05, + "loss": 1.8073, + "step": 457 + }, + { + "epoch": 2.29, + "learning_rate": 1.8628571428571428e-05, + "loss": 2.2883, + "step": 458 + }, + { + "epoch": 2.29, + "learning_rate": 1.8625210084033617e-05, + "loss": 1.702, + "step": 459 + }, + { + "epoch": 2.3, + "learning_rate": 1.86218487394958e-05, + "loss": 2.0999, + "step": 460 + }, + { + "epoch": 2.31, + "learning_rate": 1.8618487394957984e-05, + "loss": 1.6451, + "step": 461 + }, + { + "epoch": 2.31, + "learning_rate": 1.861512605042017e-05, + "loss": 1.628, + "step": 462 + }, + { + "epoch": 2.31, + "learning_rate": 1.8611764705882352e-05, + "loss": 1.9018, + "step": 463 + }, + { + "epoch": 2.32, + "learning_rate": 1.860840336134454e-05, + "loss": 1.6642, + "step": 464 + }, + { + "epoch": 2.33, + "learning_rate": 1.8605042016806723e-05, + "loss": 1.9997, + "step": 465 + }, + { + "epoch": 2.33, + "learning_rate": 1.860168067226891e-05, + "loss": 1.5634, + "step": 466 + }, + { + "epoch": 2.33, + "learning_rate": 1.8598319327731094e-05, + "loss": 1.7098, + "step": 467 + }, + { + "epoch": 2.34, + "learning_rate": 1.8594957983193276e-05, + "loss": 2.0885, + "step": 468 + }, + { + "epoch": 2.34, + "learning_rate": 1.8591596638655465e-05, + "loss": 1.8572, + "step": 469 + }, + { + "epoch": 2.35, + "learning_rate": 1.8588235294117647e-05, + "loss": 1.6681, + "step": 470 + }, + { + "epoch": 2.35, + "learning_rate": 1.8584873949579833e-05, + "loss": 2.0611, + "step": 471 + }, + { + "epoch": 2.36, + "learning_rate": 1.858151260504202e-05, + "loss": 2.1107, + "step": 472 + }, + { + "epoch": 2.37, + "learning_rate": 1.8578151260504204e-05, + "loss": 2.3523, + "step": 473 + }, + { + "epoch": 2.37, + "learning_rate": 1.857478991596639e-05, + "loss": 2.0987, + "step": 474 + }, + { + "epoch": 2.38, + "learning_rate": 1.8571428571428575e-05, + "loss": 2.3672, + "step": 475 + }, + { + "epoch": 2.38, + "learning_rate": 1.8568067226890757e-05, + "loss": 1.9053, + "step": 476 + }, + { + "epoch": 2.38, + "learning_rate": 1.8564705882352943e-05, + "loss": 1.9167, + "step": 477 + }, + { + "epoch": 2.39, + "learning_rate": 1.856134453781513e-05, + "loss": 1.8402, + "step": 478 + }, + { + "epoch": 2.4, + "learning_rate": 1.855798319327731e-05, + "loss": 1.9099, + "step": 479 + }, + { + "epoch": 2.4, + "learning_rate": 1.85546218487395e-05, + "loss": 2.1931, + "step": 480 + }, + { + "epoch": 2.41, + "learning_rate": 1.855126050420168e-05, + "loss": 2.219, + "step": 481 + }, + { + "epoch": 2.41, + "learning_rate": 1.8547899159663867e-05, + "loss": 1.8695, + "step": 482 + }, + { + "epoch": 2.42, + "learning_rate": 1.8544537815126053e-05, + "loss": 1.5272, + "step": 483 + }, + { + "epoch": 2.42, + "learning_rate": 1.8541176470588235e-05, + "loss": 2.3427, + "step": 484 + }, + { + "epoch": 2.42, + "learning_rate": 1.8537815126050424e-05, + "loss": 2.2495, + "step": 485 + }, + { + "epoch": 2.43, + "learning_rate": 1.8534453781512606e-05, + "loss": 2.1749, + "step": 486 + }, + { + "epoch": 2.44, + "learning_rate": 1.853109243697479e-05, + "loss": 2.0071, + "step": 487 + }, + { + "epoch": 2.44, + "learning_rate": 1.8527731092436977e-05, + "loss": 1.625, + "step": 488 + }, + { + "epoch": 2.44, + "learning_rate": 1.852436974789916e-05, + "loss": 1.8271, + "step": 489 + }, + { + "epoch": 2.45, + "learning_rate": 1.8521008403361348e-05, + "loss": 1.9285, + "step": 490 + }, + { + "epoch": 2.46, + "learning_rate": 1.851764705882353e-05, + "loss": 1.712, + "step": 491 + }, + { + "epoch": 2.46, + "learning_rate": 1.8514285714285716e-05, + "loss": 1.7197, + "step": 492 + }, + { + "epoch": 2.46, + "learning_rate": 1.85109243697479e-05, + "loss": 2.2691, + "step": 493 + }, + { + "epoch": 2.47, + "learning_rate": 1.8507563025210083e-05, + "loss": 1.8544, + "step": 494 + }, + { + "epoch": 2.48, + "learning_rate": 1.8504201680672272e-05, + "loss": 1.6395, + "step": 495 + }, + { + "epoch": 2.48, + "learning_rate": 1.8500840336134454e-05, + "loss": 2.0347, + "step": 496 + }, + { + "epoch": 2.48, + "learning_rate": 1.849747899159664e-05, + "loss": 1.9091, + "step": 497 + }, + { + "epoch": 2.49, + "learning_rate": 1.8494117647058825e-05, + "loss": 1.7685, + "step": 498 + }, + { + "epoch": 2.5, + "learning_rate": 1.8490756302521008e-05, + "loss": 1.8319, + "step": 499 + }, + { + "epoch": 2.5, + "learning_rate": 1.8487394957983196e-05, + "loss": 1.8966, + "step": 500 + }, + { + "epoch": 2.5, + "learning_rate": 1.848403361344538e-05, + "loss": 2.0177, + "step": 501 + }, + { + "epoch": 2.51, + "learning_rate": 1.8480672268907564e-05, + "loss": 2.3466, + "step": 502 + }, + { + "epoch": 2.52, + "learning_rate": 1.847731092436975e-05, + "loss": 1.673, + "step": 503 + }, + { + "epoch": 2.52, + "learning_rate": 1.8473949579831932e-05, + "loss": 1.6841, + "step": 504 + }, + { + "epoch": 2.52, + "learning_rate": 1.847058823529412e-05, + "loss": 2.1491, + "step": 505 + }, + { + "epoch": 2.53, + "learning_rate": 1.8467226890756303e-05, + "loss": 1.7529, + "step": 506 + }, + { + "epoch": 2.54, + "learning_rate": 1.846386554621849e-05, + "loss": 1.7218, + "step": 507 + }, + { + "epoch": 2.54, + "learning_rate": 1.8460504201680674e-05, + "loss": 1.5188, + "step": 508 + }, + { + "epoch": 2.54, + "learning_rate": 1.845714285714286e-05, + "loss": 1.6829, + "step": 509 + }, + { + "epoch": 2.55, + "learning_rate": 1.8453781512605045e-05, + "loss": 2.055, + "step": 510 + }, + { + "epoch": 2.56, + "learning_rate": 1.845042016806723e-05, + "loss": 1.678, + "step": 511 + }, + { + "epoch": 2.56, + "learning_rate": 1.8447058823529413e-05, + "loss": 1.7859, + "step": 512 + }, + { + "epoch": 2.56, + "learning_rate": 1.8443697478991598e-05, + "loss": 1.6422, + "step": 513 + }, + { + "epoch": 2.57, + "learning_rate": 1.8440336134453784e-05, + "loss": 1.7625, + "step": 514 + }, + { + "epoch": 2.58, + "learning_rate": 1.8436974789915966e-05, + "loss": 1.9042, + "step": 515 + }, + { + "epoch": 2.58, + "learning_rate": 1.8433613445378155e-05, + "loss": 1.7744, + "step": 516 + }, + { + "epoch": 2.58, + "learning_rate": 1.8430252100840337e-05, + "loss": 1.9938, + "step": 517 + }, + { + "epoch": 2.59, + "learning_rate": 1.8426890756302523e-05, + "loss": 2.5055, + "step": 518 + }, + { + "epoch": 2.59, + "learning_rate": 1.8423529411764708e-05, + "loss": 1.7702, + "step": 519 + }, + { + "epoch": 2.6, + "learning_rate": 1.842016806722689e-05, + "loss": 1.6798, + "step": 520 + }, + { + "epoch": 2.6, + "learning_rate": 1.841680672268908e-05, + "loss": 1.8185, + "step": 521 + }, + { + "epoch": 2.61, + "learning_rate": 1.841344537815126e-05, + "loss": 1.9577, + "step": 522 + }, + { + "epoch": 2.62, + "learning_rate": 1.8410084033613447e-05, + "loss": 2.5199, + "step": 523 + }, + { + "epoch": 2.62, + "learning_rate": 1.8406722689075632e-05, + "loss": 1.6838, + "step": 524 + }, + { + "epoch": 2.62, + "learning_rate": 1.8403361344537814e-05, + "loss": 1.6272, + "step": 525 + }, + { + "epoch": 2.63, + "learning_rate": 1.8400000000000003e-05, + "loss": 1.6786, + "step": 526 + }, + { + "epoch": 2.63, + "learning_rate": 1.8396638655462186e-05, + "loss": 2.0741, + "step": 527 + }, + { + "epoch": 2.64, + "learning_rate": 1.839327731092437e-05, + "loss": 1.9572, + "step": 528 + }, + { + "epoch": 2.65, + "learning_rate": 1.8389915966386557e-05, + "loss": 1.8101, + "step": 529 + }, + { + "epoch": 2.65, + "learning_rate": 1.838655462184874e-05, + "loss": 1.6588, + "step": 530 + }, + { + "epoch": 2.66, + "learning_rate": 1.8383193277310928e-05, + "loss": 1.9056, + "step": 531 + }, + { + "epoch": 2.66, + "learning_rate": 1.837983193277311e-05, + "loss": 1.5661, + "step": 532 + }, + { + "epoch": 2.67, + "learning_rate": 1.8376470588235295e-05, + "loss": 1.6386, + "step": 533 + }, + { + "epoch": 2.67, + "learning_rate": 1.837310924369748e-05, + "loss": 1.6892, + "step": 534 + }, + { + "epoch": 2.67, + "learning_rate": 1.8369747899159663e-05, + "loss": 1.6323, + "step": 535 + }, + { + "epoch": 2.68, + "learning_rate": 1.8366386554621852e-05, + "loss": 2.0358, + "step": 536 + }, + { + "epoch": 2.69, + "learning_rate": 1.8363025210084034e-05, + "loss": 1.6348, + "step": 537 + }, + { + "epoch": 2.69, + "learning_rate": 1.835966386554622e-05, + "loss": 2.0549, + "step": 538 + }, + { + "epoch": 2.69, + "learning_rate": 1.8356302521008405e-05, + "loss": 2.0454, + "step": 539 + }, + { + "epoch": 2.7, + "learning_rate": 1.8352941176470587e-05, + "loss": 1.8404, + "step": 540 + }, + { + "epoch": 2.71, + "learning_rate": 1.8349579831932776e-05, + "loss": 1.7415, + "step": 541 + }, + { + "epoch": 2.71, + "learning_rate": 1.834621848739496e-05, + "loss": 1.4908, + "step": 542 + }, + { + "epoch": 2.71, + "learning_rate": 1.8342857142857144e-05, + "loss": 1.6183, + "step": 543 + }, + { + "epoch": 2.72, + "learning_rate": 1.833949579831933e-05, + "loss": 1.6147, + "step": 544 + }, + { + "epoch": 2.73, + "learning_rate": 1.8336134453781515e-05, + "loss": 1.672, + "step": 545 + }, + { + "epoch": 2.73, + "learning_rate": 1.83327731092437e-05, + "loss": 1.8753, + "step": 546 + }, + { + "epoch": 2.73, + "learning_rate": 1.8329411764705886e-05, + "loss": 1.9467, + "step": 547 + }, + { + "epoch": 2.74, + "learning_rate": 1.8326050420168068e-05, + "loss": 1.5934, + "step": 548 + }, + { + "epoch": 2.75, + "learning_rate": 1.8322689075630254e-05, + "loss": 1.537, + "step": 549 + }, + { + "epoch": 2.75, + "learning_rate": 1.831932773109244e-05, + "loss": 1.4782, + "step": 550 + }, + { + "epoch": 2.75, + "learning_rate": 1.8315966386554625e-05, + "loss": 1.7184, + "step": 551 + }, + { + "epoch": 2.76, + "learning_rate": 1.831260504201681e-05, + "loss": 2.4042, + "step": 552 + }, + { + "epoch": 2.77, + "learning_rate": 1.8309243697478992e-05, + "loss": 2.038, + "step": 553 + }, + { + "epoch": 2.77, + "learning_rate": 1.8305882352941178e-05, + "loss": 1.8167, + "step": 554 + }, + { + "epoch": 2.77, + "learning_rate": 1.8302521008403364e-05, + "loss": 1.8306, + "step": 555 + }, + { + "epoch": 2.78, + "learning_rate": 1.8299159663865546e-05, + "loss": 1.6519, + "step": 556 + }, + { + "epoch": 2.79, + "learning_rate": 1.8295798319327735e-05, + "loss": 1.6233, + "step": 557 + }, + { + "epoch": 2.79, + "learning_rate": 1.8292436974789917e-05, + "loss": 1.6735, + "step": 558 + }, + { + "epoch": 2.79, + "learning_rate": 1.8289075630252102e-05, + "loss": 2.2277, + "step": 559 + }, + { + "epoch": 2.8, + "learning_rate": 1.8285714285714288e-05, + "loss": 1.8384, + "step": 560 + }, + { + "epoch": 2.81, + "learning_rate": 1.828235294117647e-05, + "loss": 1.9632, + "step": 561 + }, + { + "epoch": 2.81, + "learning_rate": 1.827899159663866e-05, + "loss": 1.6972, + "step": 562 + }, + { + "epoch": 2.81, + "learning_rate": 1.827563025210084e-05, + "loss": 1.8541, + "step": 563 + }, + { + "epoch": 2.82, + "learning_rate": 1.8272268907563027e-05, + "loss": 1.741, + "step": 564 + }, + { + "epoch": 2.83, + "learning_rate": 1.8268907563025212e-05, + "loss": 1.8835, + "step": 565 + }, + { + "epoch": 2.83, + "learning_rate": 1.8265546218487394e-05, + "loss": 1.6913, + "step": 566 + }, + { + "epoch": 2.83, + "learning_rate": 1.8262184873949583e-05, + "loss": 1.8203, + "step": 567 + }, + { + "epoch": 2.84, + "learning_rate": 1.8258823529411765e-05, + "loss": 1.5886, + "step": 568 + }, + { + "epoch": 2.84, + "learning_rate": 1.825546218487395e-05, + "loss": 1.6341, + "step": 569 + }, + { + "epoch": 2.85, + "learning_rate": 1.8252100840336136e-05, + "loss": 1.5314, + "step": 570 + }, + { + "epoch": 2.85, + "learning_rate": 1.824873949579832e-05, + "loss": 1.7492, + "step": 571 + }, + { + "epoch": 2.86, + "learning_rate": 1.8245378151260507e-05, + "loss": 1.9633, + "step": 572 + }, + { + "epoch": 2.87, + "learning_rate": 1.824201680672269e-05, + "loss": 2.0303, + "step": 573 + }, + { + "epoch": 2.87, + "learning_rate": 1.8238655462184875e-05, + "loss": 1.6584, + "step": 574 + }, + { + "epoch": 2.88, + "learning_rate": 1.823529411764706e-05, + "loss": 1.9932, + "step": 575 + }, + { + "epoch": 2.88, + "learning_rate": 1.8231932773109243e-05, + "loss": 2.1717, + "step": 576 + }, + { + "epoch": 2.88, + "learning_rate": 1.822857142857143e-05, + "loss": 1.6555, + "step": 577 + }, + { + "epoch": 2.89, + "learning_rate": 1.8225210084033614e-05, + "loss": 1.9453, + "step": 578 + }, + { + "epoch": 2.9, + "learning_rate": 1.82218487394958e-05, + "loss": 2.1104, + "step": 579 + }, + { + "epoch": 2.9, + "learning_rate": 1.8218487394957985e-05, + "loss": 1.5056, + "step": 580 + }, + { + "epoch": 2.91, + "learning_rate": 1.821512605042017e-05, + "loss": 2.2142, + "step": 581 + }, + { + "epoch": 2.91, + "learning_rate": 1.8211764705882356e-05, + "loss": 1.8046, + "step": 582 + }, + { + "epoch": 2.92, + "learning_rate": 1.820840336134454e-05, + "loss": 1.5345, + "step": 583 + }, + { + "epoch": 2.92, + "learning_rate": 1.8205042016806724e-05, + "loss": 1.9958, + "step": 584 + }, + { + "epoch": 2.92, + "learning_rate": 1.820168067226891e-05, + "loss": 2.1315, + "step": 585 + }, + { + "epoch": 2.93, + "learning_rate": 1.8198319327731095e-05, + "loss": 2.0547, + "step": 586 + }, + { + "epoch": 2.94, + "learning_rate": 1.819495798319328e-05, + "loss": 1.7938, + "step": 587 + }, + { + "epoch": 2.94, + "learning_rate": 1.8191596638655466e-05, + "loss": 1.8344, + "step": 588 + }, + { + "epoch": 2.94, + "learning_rate": 1.8188235294117648e-05, + "loss": 1.7676, + "step": 589 + }, + { + "epoch": 2.95, + "learning_rate": 1.8184873949579833e-05, + "loss": 1.593, + "step": 590 + }, + { + "epoch": 2.96, + "learning_rate": 1.818151260504202e-05, + "loss": 1.6847, + "step": 591 + }, + { + "epoch": 2.96, + "learning_rate": 1.81781512605042e-05, + "loss": 1.4477, + "step": 592 + }, + { + "epoch": 2.96, + "learning_rate": 1.817478991596639e-05, + "loss": 1.6815, + "step": 593 + }, + { + "epoch": 2.97, + "learning_rate": 1.8171428571428572e-05, + "loss": 1.5716, + "step": 594 + }, + { + "epoch": 2.98, + "learning_rate": 1.8168067226890758e-05, + "loss": 2.3243, + "step": 595 + }, + { + "epoch": 2.98, + "learning_rate": 1.8164705882352943e-05, + "loss": 1.6627, + "step": 596 + }, + { + "epoch": 2.98, + "learning_rate": 1.8161344537815125e-05, + "loss": 2.2903, + "step": 597 + }, + { + "epoch": 2.99, + "learning_rate": 1.8157983193277314e-05, + "loss": 1.9436, + "step": 598 + }, + { + "epoch": 3.0, + "learning_rate": 1.8154621848739496e-05, + "loss": 2.3077, + "step": 599 + }, + { + "epoch": 3.0, + "learning_rate": 1.8151260504201682e-05, + "loss": 2.4061, + "step": 600 + }, + { + "epoch": 3.0, + "eval_accuracy": 0.265, + "eval_loss": 2.075777769088745, + "eval_roc_auc": 0.761604866049912, + "eval_runtime": 58.8188, + "eval_samples_per_second": 3.4, + "eval_steps_per_second": 0.85, + "step": 600 + }, + { + "epoch": 3.0, + "learning_rate": 1.8147899159663868e-05, + "loss": 2.2973, + "step": 601 + }, + { + "epoch": 3.01, + "learning_rate": 1.814453781512605e-05, + "loss": 1.6961, + "step": 602 + }, + { + "epoch": 3.02, + "learning_rate": 1.814117647058824e-05, + "loss": 1.9295, + "step": 603 + }, + { + "epoch": 3.02, + "learning_rate": 1.813781512605042e-05, + "loss": 2.029, + "step": 604 + }, + { + "epoch": 3.02, + "learning_rate": 1.8134453781512606e-05, + "loss": 1.8393, + "step": 605 + }, + { + "epoch": 3.03, + "learning_rate": 1.8131092436974792e-05, + "loss": 1.94, + "step": 606 + }, + { + "epoch": 3.04, + "learning_rate": 1.8127731092436974e-05, + "loss": 1.8199, + "step": 607 + }, + { + "epoch": 3.04, + "learning_rate": 1.8124369747899163e-05, + "loss": 2.0185, + "step": 608 + }, + { + "epoch": 3.04, + "learning_rate": 1.8121008403361345e-05, + "loss": 1.8741, + "step": 609 + }, + { + "epoch": 3.05, + "learning_rate": 1.811764705882353e-05, + "loss": 1.8408, + "step": 610 + }, + { + "epoch": 3.06, + "learning_rate": 1.8114285714285716e-05, + "loss": 1.4903, + "step": 611 + }, + { + "epoch": 3.06, + "learning_rate": 1.8110924369747898e-05, + "loss": 1.5976, + "step": 612 + }, + { + "epoch": 3.06, + "learning_rate": 1.8107563025210087e-05, + "loss": 1.7493, + "step": 613 + }, + { + "epoch": 3.07, + "learning_rate": 1.810420168067227e-05, + "loss": 2.2628, + "step": 614 + }, + { + "epoch": 3.08, + "learning_rate": 1.8100840336134455e-05, + "loss": 2.0238, + "step": 615 + }, + { + "epoch": 3.08, + "learning_rate": 1.809747899159664e-05, + "loss": 1.5577, + "step": 616 + }, + { + "epoch": 3.08, + "learning_rate": 1.8094117647058826e-05, + "loss": 1.6948, + "step": 617 + }, + { + "epoch": 3.09, + "learning_rate": 1.809075630252101e-05, + "loss": 2.1863, + "step": 618 + }, + { + "epoch": 3.1, + "learning_rate": 1.8087394957983197e-05, + "loss": 1.6074, + "step": 619 + }, + { + "epoch": 3.1, + "learning_rate": 1.808403361344538e-05, + "loss": 2.1598, + "step": 620 + }, + { + "epoch": 3.1, + "learning_rate": 1.8080672268907565e-05, + "loss": 2.1519, + "step": 621 + }, + { + "epoch": 3.11, + "learning_rate": 1.807731092436975e-05, + "loss": 1.7389, + "step": 622 + }, + { + "epoch": 3.12, + "learning_rate": 1.8073949579831936e-05, + "loss": 1.9816, + "step": 623 + }, + { + "epoch": 3.12, + "learning_rate": 1.807058823529412e-05, + "loss": 1.7238, + "step": 624 + }, + { + "epoch": 3.12, + "learning_rate": 1.8067226890756303e-05, + "loss": 1.5494, + "step": 625 + }, + { + "epoch": 3.13, + "learning_rate": 1.806386554621849e-05, + "loss": 1.9232, + "step": 626 + }, + { + "epoch": 3.13, + "learning_rate": 1.8060504201680674e-05, + "loss": 1.6877, + "step": 627 + }, + { + "epoch": 3.14, + "learning_rate": 1.8057142857142857e-05, + "loss": 1.505, + "step": 628 + }, + { + "epoch": 3.15, + "learning_rate": 1.8053781512605045e-05, + "loss": 1.7277, + "step": 629 + }, + { + "epoch": 3.15, + "learning_rate": 1.8050420168067228e-05, + "loss": 2.0912, + "step": 630 + }, + { + "epoch": 3.15, + "learning_rate": 1.8047058823529413e-05, + "loss": 1.3901, + "step": 631 + }, + { + "epoch": 3.16, + "learning_rate": 1.80436974789916e-05, + "loss": 1.5146, + "step": 632 + }, + { + "epoch": 3.17, + "learning_rate": 1.804033613445378e-05, + "loss": 1.943, + "step": 633 + }, + { + "epoch": 3.17, + "learning_rate": 1.803697478991597e-05, + "loss": 1.6217, + "step": 634 + }, + { + "epoch": 3.17, + "learning_rate": 1.8033613445378152e-05, + "loss": 1.8256, + "step": 635 + }, + { + "epoch": 3.18, + "learning_rate": 1.8030252100840337e-05, + "loss": 1.4565, + "step": 636 + }, + { + "epoch": 3.19, + "learning_rate": 1.8026890756302523e-05, + "loss": 1.5367, + "step": 637 + }, + { + "epoch": 3.19, + "learning_rate": 1.8023529411764705e-05, + "loss": 1.8733, + "step": 638 + }, + { + "epoch": 3.19, + "learning_rate": 1.8020168067226894e-05, + "loss": 1.6775, + "step": 639 + }, + { + "epoch": 3.2, + "learning_rate": 1.8016806722689076e-05, + "loss": 1.9961, + "step": 640 + }, + { + "epoch": 3.21, + "learning_rate": 1.8013445378151262e-05, + "loss": 1.6414, + "step": 641 + }, + { + "epoch": 3.21, + "learning_rate": 1.8010084033613447e-05, + "loss": 1.6546, + "step": 642 + }, + { + "epoch": 3.21, + "learning_rate": 1.800672268907563e-05, + "loss": 1.5287, + "step": 643 + }, + { + "epoch": 3.22, + "learning_rate": 1.800336134453782e-05, + "loss": 1.8546, + "step": 644 + }, + { + "epoch": 3.23, + "learning_rate": 1.8e-05, + "loss": 1.9352, + "step": 645 + }, + { + "epoch": 3.23, + "learning_rate": 1.7996638655462186e-05, + "loss": 1.8938, + "step": 646 + }, + { + "epoch": 3.23, + "learning_rate": 1.799327731092437e-05, + "loss": 1.7654, + "step": 647 + }, + { + "epoch": 3.24, + "learning_rate": 1.7989915966386554e-05, + "loss": 1.7382, + "step": 648 + }, + { + "epoch": 3.25, + "learning_rate": 1.7986554621848743e-05, + "loss": 1.4571, + "step": 649 + }, + { + "epoch": 3.25, + "learning_rate": 1.7983193277310925e-05, + "loss": 1.7849, + "step": 650 + }, + { + "epoch": 3.25, + "learning_rate": 1.797983193277311e-05, + "loss": 1.3607, + "step": 651 + }, + { + "epoch": 3.26, + "learning_rate": 1.7976470588235296e-05, + "loss": 1.9231, + "step": 652 + }, + { + "epoch": 3.27, + "learning_rate": 1.797310924369748e-05, + "loss": 1.996, + "step": 653 + }, + { + "epoch": 3.27, + "learning_rate": 1.7969747899159667e-05, + "loss": 1.942, + "step": 654 + }, + { + "epoch": 3.27, + "learning_rate": 1.7966386554621852e-05, + "loss": 1.6897, + "step": 655 + }, + { + "epoch": 3.28, + "learning_rate": 1.7963025210084035e-05, + "loss": 1.7575, + "step": 656 + }, + { + "epoch": 3.29, + "learning_rate": 1.795966386554622e-05, + "loss": 1.7854, + "step": 657 + }, + { + "epoch": 3.29, + "learning_rate": 1.7956302521008406e-05, + "loss": 1.835, + "step": 658 + }, + { + "epoch": 3.29, + "learning_rate": 1.795294117647059e-05, + "loss": 1.6828, + "step": 659 + }, + { + "epoch": 3.3, + "learning_rate": 1.7949579831932777e-05, + "loss": 1.2732, + "step": 660 + }, + { + "epoch": 3.31, + "learning_rate": 1.794621848739496e-05, + "loss": 1.5362, + "step": 661 + }, + { + "epoch": 3.31, + "learning_rate": 1.7942857142857144e-05, + "loss": 1.7927, + "step": 662 + }, + { + "epoch": 3.31, + "learning_rate": 1.793949579831933e-05, + "loss": 1.8813, + "step": 663 + }, + { + "epoch": 3.32, + "learning_rate": 1.7936134453781512e-05, + "loss": 1.9664, + "step": 664 + }, + { + "epoch": 3.33, + "learning_rate": 1.79327731092437e-05, + "loss": 1.7781, + "step": 665 + }, + { + "epoch": 3.33, + "learning_rate": 1.7929411764705883e-05, + "loss": 1.5385, + "step": 666 + }, + { + "epoch": 3.33, + "learning_rate": 1.792605042016807e-05, + "loss": 1.2598, + "step": 667 + }, + { + "epoch": 3.34, + "learning_rate": 1.7922689075630254e-05, + "loss": 2.039, + "step": 668 + }, + { + "epoch": 3.34, + "learning_rate": 1.7919327731092436e-05, + "loss": 1.5071, + "step": 669 + }, + { + "epoch": 3.35, + "learning_rate": 1.7915966386554625e-05, + "loss": 1.9899, + "step": 670 + }, + { + "epoch": 3.35, + "learning_rate": 1.7912605042016807e-05, + "loss": 1.7654, + "step": 671 + }, + { + "epoch": 3.36, + "learning_rate": 1.7909243697478993e-05, + "loss": 1.9206, + "step": 672 + }, + { + "epoch": 3.37, + "learning_rate": 1.790588235294118e-05, + "loss": 1.3763, + "step": 673 + }, + { + "epoch": 3.37, + "learning_rate": 1.790252100840336e-05, + "loss": 1.9155, + "step": 674 + }, + { + "epoch": 3.38, + "learning_rate": 1.789915966386555e-05, + "loss": 1.7097, + "step": 675 + }, + { + "epoch": 3.38, + "learning_rate": 1.789579831932773e-05, + "loss": 1.7542, + "step": 676 + }, + { + "epoch": 3.38, + "learning_rate": 1.7892436974789917e-05, + "loss": 1.6222, + "step": 677 + }, + { + "epoch": 3.39, + "learning_rate": 1.7889075630252103e-05, + "loss": 1.5673, + "step": 678 + }, + { + "epoch": 3.4, + "learning_rate": 1.7885714285714285e-05, + "loss": 2.2201, + "step": 679 + }, + { + "epoch": 3.4, + "learning_rate": 1.7882352941176474e-05, + "loss": 1.6234, + "step": 680 + }, + { + "epoch": 3.41, + "learning_rate": 1.7878991596638656e-05, + "loss": 1.3706, + "step": 681 + }, + { + "epoch": 3.41, + "learning_rate": 1.787563025210084e-05, + "loss": 1.7021, + "step": 682 + }, + { + "epoch": 3.42, + "learning_rate": 1.7872268907563027e-05, + "loss": 2.038, + "step": 683 + }, + { + "epoch": 3.42, + "learning_rate": 1.786890756302521e-05, + "loss": 1.6039, + "step": 684 + }, + { + "epoch": 3.42, + "learning_rate": 1.7865546218487398e-05, + "loss": 1.3778, + "step": 685 + }, + { + "epoch": 3.43, + "learning_rate": 1.786218487394958e-05, + "loss": 1.4642, + "step": 686 + }, + { + "epoch": 3.44, + "learning_rate": 1.7858823529411766e-05, + "loss": 1.3078, + "step": 687 + }, + { + "epoch": 3.44, + "learning_rate": 1.785546218487395e-05, + "loss": 1.556, + "step": 688 + }, + { + "epoch": 3.44, + "learning_rate": 1.7852100840336137e-05, + "loss": 1.299, + "step": 689 + }, + { + "epoch": 3.45, + "learning_rate": 1.7848739495798322e-05, + "loss": 1.685, + "step": 690 + }, + { + "epoch": 3.46, + "learning_rate": 1.7845378151260508e-05, + "loss": 1.6615, + "step": 691 + }, + { + "epoch": 3.46, + "learning_rate": 1.784201680672269e-05, + "loss": 1.4827, + "step": 692 + }, + { + "epoch": 3.46, + "learning_rate": 1.7838655462184876e-05, + "loss": 1.4635, + "step": 693 + }, + { + "epoch": 3.47, + "learning_rate": 1.783529411764706e-05, + "loss": 1.4438, + "step": 694 + }, + { + "epoch": 3.48, + "learning_rate": 1.7831932773109247e-05, + "loss": 1.414, + "step": 695 + }, + { + "epoch": 3.48, + "learning_rate": 1.7828571428571432e-05, + "loss": 2.3635, + "step": 696 + }, + { + "epoch": 3.48, + "learning_rate": 1.7825210084033614e-05, + "loss": 1.6176, + "step": 697 + }, + { + "epoch": 3.49, + "learning_rate": 1.78218487394958e-05, + "loss": 2.1298, + "step": 698 + }, + { + "epoch": 3.5, + "learning_rate": 1.7818487394957985e-05, + "loss": 1.8047, + "step": 699 + }, + { + "epoch": 3.5, + "learning_rate": 1.781512605042017e-05, + "loss": 1.4424, + "step": 700 + }, + { + "epoch": 3.5, + "learning_rate": 1.7811764705882356e-05, + "loss": 1.7566, + "step": 701 + }, + { + "epoch": 3.51, + "learning_rate": 1.780840336134454e-05, + "loss": 2.5547, + "step": 702 + }, + { + "epoch": 3.52, + "learning_rate": 1.7805042016806724e-05, + "loss": 1.2211, + "step": 703 + }, + { + "epoch": 3.52, + "learning_rate": 1.780168067226891e-05, + "loss": 1.8909, + "step": 704 + }, + { + "epoch": 3.52, + "learning_rate": 1.7798319327731092e-05, + "loss": 1.8032, + "step": 705 + }, + { + "epoch": 3.53, + "learning_rate": 1.779495798319328e-05, + "loss": 1.5848, + "step": 706 + }, + { + "epoch": 3.54, + "learning_rate": 1.7791596638655463e-05, + "loss": 2.2768, + "step": 707 + }, + { + "epoch": 3.54, + "learning_rate": 1.778823529411765e-05, + "loss": 1.7225, + "step": 708 + }, + { + "epoch": 3.54, + "learning_rate": 1.7784873949579834e-05, + "loss": 1.5466, + "step": 709 + }, + { + "epoch": 3.55, + "learning_rate": 1.7781512605042016e-05, + "loss": 1.1999, + "step": 710 + }, + { + "epoch": 3.56, + "learning_rate": 1.7778151260504205e-05, + "loss": 1.6475, + "step": 711 + }, + { + "epoch": 3.56, + "learning_rate": 1.7774789915966387e-05, + "loss": 1.3868, + "step": 712 + }, + { + "epoch": 3.56, + "learning_rate": 1.7771428571428573e-05, + "loss": 1.2993, + "step": 713 + }, + { + "epoch": 3.57, + "learning_rate": 1.7768067226890758e-05, + "loss": 1.5878, + "step": 714 + }, + { + "epoch": 3.58, + "learning_rate": 1.776470588235294e-05, + "loss": 1.1878, + "step": 715 + }, + { + "epoch": 3.58, + "learning_rate": 1.776134453781513e-05, + "loss": 1.4455, + "step": 716 + }, + { + "epoch": 3.58, + "learning_rate": 1.775798319327731e-05, + "loss": 1.7841, + "step": 717 + }, + { + "epoch": 3.59, + "learning_rate": 1.7754621848739497e-05, + "loss": 1.6498, + "step": 718 + }, + { + "epoch": 3.59, + "learning_rate": 1.7751260504201682e-05, + "loss": 1.5824, + "step": 719 + }, + { + "epoch": 3.6, + "learning_rate": 1.7747899159663865e-05, + "loss": 1.5849, + "step": 720 + }, + { + "epoch": 3.6, + "learning_rate": 1.7744537815126053e-05, + "loss": 1.8272, + "step": 721 + }, + { + "epoch": 3.61, + "learning_rate": 1.7741176470588236e-05, + "loss": 1.407, + "step": 722 + }, + { + "epoch": 3.62, + "learning_rate": 1.773781512605042e-05, + "loss": 1.9099, + "step": 723 + }, + { + "epoch": 3.62, + "learning_rate": 1.7734453781512607e-05, + "loss": 1.5883, + "step": 724 + }, + { + "epoch": 3.62, + "learning_rate": 1.7731092436974792e-05, + "loss": 1.5674, + "step": 725 + }, + { + "epoch": 3.63, + "learning_rate": 1.7727731092436978e-05, + "loss": 1.4729, + "step": 726 + }, + { + "epoch": 3.63, + "learning_rate": 1.7724369747899163e-05, + "loss": 1.684, + "step": 727 + }, + { + "epoch": 3.64, + "learning_rate": 1.7721008403361345e-05, + "loss": 1.9876, + "step": 728 + }, + { + "epoch": 3.65, + "learning_rate": 1.771764705882353e-05, + "loss": 2.066, + "step": 729 + }, + { + "epoch": 3.65, + "learning_rate": 1.7714285714285717e-05, + "loss": 1.4819, + "step": 730 + }, + { + "epoch": 3.66, + "learning_rate": 1.7710924369747902e-05, + "loss": 1.6774, + "step": 731 + }, + { + "epoch": 3.66, + "learning_rate": 1.7707563025210088e-05, + "loss": 1.6754, + "step": 732 + }, + { + "epoch": 3.67, + "learning_rate": 1.770420168067227e-05, + "loss": 1.1745, + "step": 733 + }, + { + "epoch": 3.67, + "learning_rate": 1.7700840336134455e-05, + "loss": 1.5103, + "step": 734 + }, + { + "epoch": 3.67, + "learning_rate": 1.769747899159664e-05, + "loss": 2.4801, + "step": 735 + }, + { + "epoch": 3.68, + "learning_rate": 1.7694117647058826e-05, + "loss": 1.3877, + "step": 736 + }, + { + "epoch": 3.69, + "learning_rate": 1.7690756302521012e-05, + "loss": 1.434, + "step": 737 + }, + { + "epoch": 3.69, + "learning_rate": 1.7687394957983194e-05, + "loss": 1.065, + "step": 738 + }, + { + "epoch": 3.69, + "learning_rate": 1.768403361344538e-05, + "loss": 1.405, + "step": 739 + }, + { + "epoch": 3.7, + "learning_rate": 1.7680672268907565e-05, + "loss": 1.6563, + "step": 740 + }, + { + "epoch": 3.71, + "learning_rate": 1.7677310924369747e-05, + "loss": 1.9845, + "step": 741 + }, + { + "epoch": 3.71, + "learning_rate": 1.7673949579831936e-05, + "loss": 2.1811, + "step": 742 + }, + { + "epoch": 3.71, + "learning_rate": 1.7670588235294118e-05, + "loss": 1.8373, + "step": 743 + }, + { + "epoch": 3.72, + "learning_rate": 1.7667226890756304e-05, + "loss": 2.2579, + "step": 744 + }, + { + "epoch": 3.73, + "learning_rate": 1.766386554621849e-05, + "loss": 2.3302, + "step": 745 + }, + { + "epoch": 3.73, + "learning_rate": 1.766050420168067e-05, + "loss": 1.9718, + "step": 746 + }, + { + "epoch": 3.73, + "learning_rate": 1.765714285714286e-05, + "loss": 1.1836, + "step": 747 + }, + { + "epoch": 3.74, + "learning_rate": 1.7653781512605043e-05, + "loss": 2.1931, + "step": 748 + }, + { + "epoch": 3.75, + "learning_rate": 1.7650420168067228e-05, + "loss": 1.2946, + "step": 749 + }, + { + "epoch": 3.75, + "learning_rate": 1.7647058823529414e-05, + "loss": 2.0931, + "step": 750 + }, + { + "epoch": 3.75, + "learning_rate": 1.7643697478991596e-05, + "loss": 1.3606, + "step": 751 + }, + { + "epoch": 3.76, + "learning_rate": 1.7640336134453785e-05, + "loss": 1.4078, + "step": 752 + }, + { + "epoch": 3.77, + "learning_rate": 1.7636974789915967e-05, + "loss": 1.9521, + "step": 753 + }, + { + "epoch": 3.77, + "learning_rate": 1.7633613445378152e-05, + "loss": 1.4699, + "step": 754 + }, + { + "epoch": 3.77, + "learning_rate": 1.7630252100840338e-05, + "loss": 1.6491, + "step": 755 + }, + { + "epoch": 3.78, + "learning_rate": 1.762689075630252e-05, + "loss": 1.4279, + "step": 756 + }, + { + "epoch": 3.79, + "learning_rate": 1.762352941176471e-05, + "loss": 1.8278, + "step": 757 + }, + { + "epoch": 3.79, + "learning_rate": 1.762016806722689e-05, + "loss": 1.9855, + "step": 758 + }, + { + "epoch": 3.79, + "learning_rate": 1.7616806722689077e-05, + "loss": 1.4748, + "step": 759 + }, + { + "epoch": 3.8, + "learning_rate": 1.7613445378151262e-05, + "loss": 1.277, + "step": 760 + }, + { + "epoch": 3.81, + "learning_rate": 1.7610084033613444e-05, + "loss": 1.3982, + "step": 761 + }, + { + "epoch": 3.81, + "learning_rate": 1.7606722689075633e-05, + "loss": 1.2868, + "step": 762 + }, + { + "epoch": 3.81, + "learning_rate": 1.760336134453782e-05, + "loss": 2.0613, + "step": 763 + }, + { + "epoch": 3.82, + "learning_rate": 1.76e-05, + "loss": 1.7659, + "step": 764 + }, + { + "epoch": 3.83, + "learning_rate": 1.7596638655462186e-05, + "loss": 2.425, + "step": 765 + }, + { + "epoch": 3.83, + "learning_rate": 1.7593277310924372e-05, + "loss": 2.1854, + "step": 766 + }, + { + "epoch": 3.83, + "learning_rate": 1.7589915966386557e-05, + "loss": 1.4084, + "step": 767 + }, + { + "epoch": 3.84, + "learning_rate": 1.7586554621848743e-05, + "loss": 1.7954, + "step": 768 + }, + { + "epoch": 3.84, + "learning_rate": 1.7583193277310925e-05, + "loss": 1.939, + "step": 769 + }, + { + "epoch": 3.85, + "learning_rate": 1.757983193277311e-05, + "loss": 1.5277, + "step": 770 + }, + { + "epoch": 3.85, + "learning_rate": 1.7576470588235296e-05, + "loss": 1.7028, + "step": 771 + }, + { + "epoch": 3.86, + "learning_rate": 1.7573109243697482e-05, + "loss": 1.3792, + "step": 772 + }, + { + "epoch": 3.87, + "learning_rate": 1.7569747899159667e-05, + "loss": 1.5361, + "step": 773 + }, + { + "epoch": 3.87, + "learning_rate": 1.756638655462185e-05, + "loss": 1.8508, + "step": 774 + }, + { + "epoch": 3.88, + "learning_rate": 1.7563025210084035e-05, + "loss": 1.6547, + "step": 775 + }, + { + "epoch": 3.88, + "learning_rate": 1.755966386554622e-05, + "loss": 1.8904, + "step": 776 + }, + { + "epoch": 3.88, + "learning_rate": 1.7556302521008403e-05, + "loss": 1.3943, + "step": 777 + }, + { + "epoch": 3.89, + "learning_rate": 1.755294117647059e-05, + "loss": 1.8521, + "step": 778 + }, + { + "epoch": 3.9, + "learning_rate": 1.7549579831932774e-05, + "loss": 1.9099, + "step": 779 + }, + { + "epoch": 3.9, + "learning_rate": 1.754621848739496e-05, + "loss": 1.483, + "step": 780 + }, + { + "epoch": 3.91, + "learning_rate": 1.7542857142857145e-05, + "loss": 1.7822, + "step": 781 + }, + { + "epoch": 3.91, + "learning_rate": 1.7539495798319327e-05, + "loss": 1.8333, + "step": 782 + }, + { + "epoch": 3.92, + "learning_rate": 1.7536134453781516e-05, + "loss": 1.2215, + "step": 783 + }, + { + "epoch": 3.92, + "learning_rate": 1.7532773109243698e-05, + "loss": 1.8822, + "step": 784 + }, + { + "epoch": 3.92, + "learning_rate": 1.7529411764705884e-05, + "loss": 1.2399, + "step": 785 + }, + { + "epoch": 3.93, + "learning_rate": 1.752605042016807e-05, + "loss": 2.22, + "step": 786 + }, + { + "epoch": 3.94, + "learning_rate": 1.752268907563025e-05, + "loss": 1.9191, + "step": 787 + }, + { + "epoch": 3.94, + "learning_rate": 1.751932773109244e-05, + "loss": 1.1329, + "step": 788 + }, + { + "epoch": 3.94, + "learning_rate": 1.7515966386554622e-05, + "loss": 1.5575, + "step": 789 + }, + { + "epoch": 3.95, + "learning_rate": 1.7512605042016808e-05, + "loss": 2.0158, + "step": 790 + }, + { + "epoch": 3.96, + "learning_rate": 1.7509243697478993e-05, + "loss": 1.8747, + "step": 791 + }, + { + "epoch": 3.96, + "learning_rate": 1.7505882352941175e-05, + "loss": 1.4651, + "step": 792 + }, + { + "epoch": 3.96, + "learning_rate": 1.7502521008403364e-05, + "loss": 1.7819, + "step": 793 + }, + { + "epoch": 3.97, + "learning_rate": 1.7499159663865547e-05, + "loss": 0.9602, + "step": 794 + }, + { + "epoch": 3.98, + "learning_rate": 1.7495798319327732e-05, + "loss": 2.0635, + "step": 795 + }, + { + "epoch": 3.98, + "learning_rate": 1.7492436974789918e-05, + "loss": 1.4333, + "step": 796 + }, + { + "epoch": 3.98, + "learning_rate": 1.74890756302521e-05, + "loss": 1.5338, + "step": 797 + }, + { + "epoch": 3.99, + "learning_rate": 1.748571428571429e-05, + "loss": 1.6109, + "step": 798 + }, + { + "epoch": 4.0, + "learning_rate": 1.7482352941176474e-05, + "loss": 1.5917, + "step": 799 + }, + { + "epoch": 4.0, + "learning_rate": 1.7478991596638656e-05, + "loss": 2.1512, + "step": 800 + }, + { + "epoch": 4.0, + "eval_accuracy": 0.45, + "eval_loss": 1.6617511510849, + "eval_roc_auc": 0.8560147543854706, + "eval_runtime": 59.5023, + "eval_samples_per_second": 3.361, + "eval_steps_per_second": 0.84, + "step": 800 + }, + { + "epoch": 4.0, + "learning_rate": 1.7475630252100842e-05, + "loss": 0.9479, + "step": 801 + }, + { + "epoch": 4.01, + "learning_rate": 1.7472268907563027e-05, + "loss": 1.4091, + "step": 802 + }, + { + "epoch": 4.01, + "learning_rate": 1.7468907563025213e-05, + "loss": 1.603, + "step": 803 + }, + { + "epoch": 4.02, + "learning_rate": 1.74655462184874e-05, + "loss": 1.5239, + "step": 804 + }, + { + "epoch": 4.03, + "learning_rate": 1.746218487394958e-05, + "loss": 1.8647, + "step": 805 + }, + { + "epoch": 4.03, + "learning_rate": 1.7458823529411766e-05, + "loss": 2.23, + "step": 806 + }, + { + "epoch": 4.04, + "learning_rate": 1.745546218487395e-05, + "loss": 2.453, + "step": 807 + }, + { + "epoch": 4.04, + "learning_rate": 1.7452100840336137e-05, + "loss": 2.2855, + "step": 808 + }, + { + "epoch": 4.04, + "learning_rate": 1.7448739495798323e-05, + "loss": 1.8312, + "step": 809 + }, + { + "epoch": 4.05, + "learning_rate": 1.7445378151260505e-05, + "loss": 1.0242, + "step": 810 + }, + { + "epoch": 4.05, + "learning_rate": 1.744201680672269e-05, + "loss": 1.4599, + "step": 811 + }, + { + "epoch": 4.06, + "learning_rate": 1.7438655462184876e-05, + "loss": 1.4346, + "step": 812 + }, + { + "epoch": 4.07, + "learning_rate": 1.7435294117647058e-05, + "loss": 2.1935, + "step": 813 + }, + { + "epoch": 4.07, + "learning_rate": 1.7431932773109247e-05, + "loss": 1.1651, + "step": 814 + }, + { + "epoch": 4.08, + "learning_rate": 1.742857142857143e-05, + "loss": 1.4967, + "step": 815 + }, + { + "epoch": 4.08, + "learning_rate": 1.7425210084033615e-05, + "loss": 1.3479, + "step": 816 + }, + { + "epoch": 4.08, + "learning_rate": 1.74218487394958e-05, + "loss": 1.3474, + "step": 817 + }, + { + "epoch": 4.09, + "learning_rate": 1.7418487394957982e-05, + "loss": 1.3779, + "step": 818 + }, + { + "epoch": 4.09, + "learning_rate": 1.741512605042017e-05, + "loss": 1.2867, + "step": 819 + }, + { + "epoch": 4.1, + "learning_rate": 1.7411764705882353e-05, + "loss": 1.3227, + "step": 820 + }, + { + "epoch": 4.11, + "learning_rate": 1.740840336134454e-05, + "loss": 0.9719, + "step": 821 + }, + { + "epoch": 4.11, + "learning_rate": 1.7405042016806725e-05, + "loss": 2.3133, + "step": 822 + }, + { + "epoch": 4.12, + "learning_rate": 1.7401680672268907e-05, + "loss": 1.3781, + "step": 823 + }, + { + "epoch": 4.12, + "learning_rate": 1.7398319327731096e-05, + "loss": 1.7349, + "step": 824 + }, + { + "epoch": 4.12, + "learning_rate": 1.7394957983193278e-05, + "loss": 1.6927, + "step": 825 + }, + { + "epoch": 4.13, + "learning_rate": 1.7391596638655463e-05, + "loss": 1.4709, + "step": 826 + }, + { + "epoch": 4.13, + "learning_rate": 1.738823529411765e-05, + "loss": 1.5097, + "step": 827 + }, + { + "epoch": 4.14, + "learning_rate": 1.738487394957983e-05, + "loss": 1.6325, + "step": 828 + }, + { + "epoch": 4.14, + "learning_rate": 1.738151260504202e-05, + "loss": 1.9704, + "step": 829 + }, + { + "epoch": 4.15, + "learning_rate": 1.7378151260504202e-05, + "loss": 1.3575, + "step": 830 + }, + { + "epoch": 4.16, + "learning_rate": 1.7374789915966388e-05, + "loss": 1.3352, + "step": 831 + }, + { + "epoch": 4.16, + "learning_rate": 1.7371428571428573e-05, + "loss": 2.1886, + "step": 832 + }, + { + "epoch": 4.17, + "learning_rate": 1.7368067226890755e-05, + "loss": 1.6687, + "step": 833 + }, + { + "epoch": 4.17, + "learning_rate": 1.7364705882352944e-05, + "loss": 1.52, + "step": 834 + }, + { + "epoch": 4.17, + "learning_rate": 1.7361344537815126e-05, + "loss": 1.8091, + "step": 835 + }, + { + "epoch": 4.18, + "learning_rate": 1.7357983193277312e-05, + "loss": 1.3858, + "step": 836 + }, + { + "epoch": 4.18, + "learning_rate": 1.7354621848739497e-05, + "loss": 1.8587, + "step": 837 + }, + { + "epoch": 4.19, + "learning_rate": 1.7351260504201683e-05, + "loss": 1.1194, + "step": 838 + }, + { + "epoch": 4.2, + "learning_rate": 1.734789915966387e-05, + "loss": 1.7322, + "step": 839 + }, + { + "epoch": 4.2, + "learning_rate": 1.7344537815126054e-05, + "loss": 1.4919, + "step": 840 + }, + { + "epoch": 4.21, + "learning_rate": 1.7341176470588236e-05, + "loss": 1.0549, + "step": 841 + }, + { + "epoch": 4.21, + "learning_rate": 1.733781512605042e-05, + "loss": 1.768, + "step": 842 + }, + { + "epoch": 4.21, + "learning_rate": 1.7334453781512607e-05, + "loss": 1.8695, + "step": 843 + }, + { + "epoch": 4.22, + "learning_rate": 1.7331092436974793e-05, + "loss": 1.5816, + "step": 844 + }, + { + "epoch": 4.22, + "learning_rate": 1.7327731092436978e-05, + "loss": 2.1824, + "step": 845 + }, + { + "epoch": 4.23, + "learning_rate": 1.732436974789916e-05, + "loss": 1.6326, + "step": 846 + }, + { + "epoch": 4.24, + "learning_rate": 1.7321008403361346e-05, + "loss": 1.3975, + "step": 847 + }, + { + "epoch": 4.24, + "learning_rate": 1.731764705882353e-05, + "loss": 1.6381, + "step": 848 + }, + { + "epoch": 4.25, + "learning_rate": 1.7314285714285717e-05, + "loss": 1.3928, + "step": 849 + }, + { + "epoch": 4.25, + "learning_rate": 1.7310924369747902e-05, + "loss": 1.4193, + "step": 850 + }, + { + "epoch": 4.25, + "learning_rate": 1.7307563025210085e-05, + "loss": 1.0193, + "step": 851 + }, + { + "epoch": 4.26, + "learning_rate": 1.730420168067227e-05, + "loss": 1.2972, + "step": 852 + }, + { + "epoch": 4.26, + "learning_rate": 1.7300840336134456e-05, + "loss": 2.1719, + "step": 853 + }, + { + "epoch": 4.27, + "learning_rate": 1.7297478991596638e-05, + "loss": 1.3883, + "step": 854 + }, + { + "epoch": 4.28, + "learning_rate": 1.7294117647058827e-05, + "loss": 1.6059, + "step": 855 + }, + { + "epoch": 4.28, + "learning_rate": 1.729075630252101e-05, + "loss": 1.3346, + "step": 856 + }, + { + "epoch": 4.29, + "learning_rate": 1.7287394957983194e-05, + "loss": 1.4125, + "step": 857 + }, + { + "epoch": 4.29, + "learning_rate": 1.728403361344538e-05, + "loss": 1.4089, + "step": 858 + }, + { + "epoch": 4.29, + "learning_rate": 1.7280672268907562e-05, + "loss": 1.6268, + "step": 859 + }, + { + "epoch": 4.3, + "learning_rate": 1.727731092436975e-05, + "loss": 1.474, + "step": 860 + }, + { + "epoch": 4.3, + "learning_rate": 1.7273949579831933e-05, + "loss": 1.3424, + "step": 861 + }, + { + "epoch": 4.31, + "learning_rate": 1.727058823529412e-05, + "loss": 2.6249, + "step": 862 + }, + { + "epoch": 4.32, + "learning_rate": 1.7267226890756304e-05, + "loss": 1.9282, + "step": 863 + }, + { + "epoch": 4.32, + "learning_rate": 1.7263865546218486e-05, + "loss": 1.8724, + "step": 864 + }, + { + "epoch": 4.33, + "learning_rate": 1.7260504201680675e-05, + "loss": 2.5614, + "step": 865 + }, + { + "epoch": 4.33, + "learning_rate": 1.7257142857142857e-05, + "loss": 1.6903, + "step": 866 + }, + { + "epoch": 4.33, + "learning_rate": 1.7253781512605043e-05, + "loss": 1.0939, + "step": 867 + }, + { + "epoch": 4.34, + "learning_rate": 1.725042016806723e-05, + "loss": 1.2599, + "step": 868 + }, + { + "epoch": 4.34, + "learning_rate": 1.724705882352941e-05, + "loss": 1.88, + "step": 869 + }, + { + "epoch": 4.35, + "learning_rate": 1.72436974789916e-05, + "loss": 1.4789, + "step": 870 + }, + { + "epoch": 4.36, + "learning_rate": 1.7240336134453782e-05, + "loss": 2.4408, + "step": 871 + }, + { + "epoch": 4.36, + "learning_rate": 1.7236974789915967e-05, + "loss": 1.7679, + "step": 872 + }, + { + "epoch": 4.37, + "learning_rate": 1.7233613445378153e-05, + "loss": 1.3651, + "step": 873 + }, + { + "epoch": 4.37, + "learning_rate": 1.723025210084034e-05, + "loss": 2.166, + "step": 874 + }, + { + "epoch": 4.38, + "learning_rate": 1.7226890756302524e-05, + "loss": 1.5288, + "step": 875 + }, + { + "epoch": 4.38, + "learning_rate": 1.722352941176471e-05, + "loss": 1.2831, + "step": 876 + }, + { + "epoch": 4.38, + "learning_rate": 1.722016806722689e-05, + "loss": 1.4911, + "step": 877 + }, + { + "epoch": 4.39, + "learning_rate": 1.7216806722689077e-05, + "loss": 1.6471, + "step": 878 + }, + { + "epoch": 4.39, + "learning_rate": 1.7213445378151263e-05, + "loss": 1.1562, + "step": 879 + }, + { + "epoch": 4.4, + "learning_rate": 1.7210084033613448e-05, + "loss": 1.4475, + "step": 880 + }, + { + "epoch": 4.41, + "learning_rate": 1.7206722689075634e-05, + "loss": 1.416, + "step": 881 + }, + { + "epoch": 4.41, + "learning_rate": 1.7203361344537816e-05, + "loss": 1.7469, + "step": 882 + }, + { + "epoch": 4.42, + "learning_rate": 1.72e-05, + "loss": 1.642, + "step": 883 + }, + { + "epoch": 4.42, + "learning_rate": 1.7196638655462187e-05, + "loss": 1.6805, + "step": 884 + }, + { + "epoch": 4.42, + "learning_rate": 1.7193277310924372e-05, + "loss": 1.7085, + "step": 885 + }, + { + "epoch": 4.43, + "learning_rate": 1.7189915966386558e-05, + "loss": 1.2838, + "step": 886 + }, + { + "epoch": 4.43, + "learning_rate": 1.718655462184874e-05, + "loss": 1.5335, + "step": 887 + }, + { + "epoch": 4.44, + "learning_rate": 1.7183193277310926e-05, + "loss": 1.514, + "step": 888 + }, + { + "epoch": 4.45, + "learning_rate": 1.717983193277311e-05, + "loss": 2.0332, + "step": 889 + }, + { + "epoch": 4.45, + "learning_rate": 1.7176470588235293e-05, + "loss": 1.4363, + "step": 890 + }, + { + "epoch": 4.46, + "learning_rate": 1.7173109243697482e-05, + "loss": 1.2112, + "step": 891 + }, + { + "epoch": 4.46, + "learning_rate": 1.7169747899159664e-05, + "loss": 1.4849, + "step": 892 + }, + { + "epoch": 4.46, + "learning_rate": 1.716638655462185e-05, + "loss": 1.5179, + "step": 893 + }, + { + "epoch": 4.47, + "learning_rate": 1.7163025210084035e-05, + "loss": 1.2841, + "step": 894 + }, + { + "epoch": 4.47, + "learning_rate": 1.7159663865546218e-05, + "loss": 1.556, + "step": 895 + }, + { + "epoch": 4.48, + "learning_rate": 1.7156302521008406e-05, + "loss": 1.3428, + "step": 896 + }, + { + "epoch": 4.49, + "learning_rate": 1.715294117647059e-05, + "loss": 2.0025, + "step": 897 + }, + { + "epoch": 4.49, + "learning_rate": 1.7149579831932774e-05, + "loss": 1.4327, + "step": 898 + }, + { + "epoch": 4.5, + "learning_rate": 1.714621848739496e-05, + "loss": 2.2447, + "step": 899 + }, + { + "epoch": 4.5, + "learning_rate": 1.7142857142857142e-05, + "loss": 1.1997, + "step": 900 + }, + { + "epoch": 4.5, + "learning_rate": 1.713949579831933e-05, + "loss": 0.9725, + "step": 901 + }, + { + "epoch": 4.51, + "learning_rate": 1.7136134453781513e-05, + "loss": 1.487, + "step": 902 + }, + { + "epoch": 4.51, + "learning_rate": 1.71327731092437e-05, + "loss": 1.8589, + "step": 903 + }, + { + "epoch": 4.52, + "learning_rate": 1.7129411764705884e-05, + "loss": 2.1015, + "step": 904 + }, + { + "epoch": 4.53, + "learning_rate": 1.7126050420168066e-05, + "loss": 1.4096, + "step": 905 + }, + { + "epoch": 4.53, + "learning_rate": 1.7122689075630255e-05, + "loss": 1.9338, + "step": 906 + }, + { + "epoch": 4.54, + "learning_rate": 1.7119327731092437e-05, + "loss": 1.9525, + "step": 907 + }, + { + "epoch": 4.54, + "learning_rate": 1.7115966386554623e-05, + "loss": 1.2734, + "step": 908 + }, + { + "epoch": 4.54, + "learning_rate": 1.7112605042016808e-05, + "loss": 2.008, + "step": 909 + }, + { + "epoch": 4.55, + "learning_rate": 1.7109243697478994e-05, + "loss": 1.5969, + "step": 910 + }, + { + "epoch": 4.55, + "learning_rate": 1.710588235294118e-05, + "loss": 1.3361, + "step": 911 + }, + { + "epoch": 4.56, + "learning_rate": 1.7102521008403365e-05, + "loss": 0.9491, + "step": 912 + }, + { + "epoch": 4.56, + "learning_rate": 1.7099159663865547e-05, + "loss": 2.0205, + "step": 913 + }, + { + "epoch": 4.57, + "learning_rate": 1.7095798319327733e-05, + "loss": 1.2106, + "step": 914 + }, + { + "epoch": 4.58, + "learning_rate": 1.7092436974789918e-05, + "loss": 1.5829, + "step": 915 + }, + { + "epoch": 4.58, + "learning_rate": 1.7089075630252104e-05, + "loss": 1.4891, + "step": 916 + }, + { + "epoch": 4.58, + "learning_rate": 1.708571428571429e-05, + "loss": 1.4502, + "step": 917 + }, + { + "epoch": 4.59, + "learning_rate": 1.708235294117647e-05, + "loss": 1.4606, + "step": 918 + }, + { + "epoch": 4.59, + "learning_rate": 1.7078991596638657e-05, + "loss": 1.1855, + "step": 919 + }, + { + "epoch": 4.6, + "learning_rate": 1.7075630252100842e-05, + "loss": 1.2053, + "step": 920 + }, + { + "epoch": 4.61, + "learning_rate": 1.7072268907563028e-05, + "loss": 1.3163, + "step": 921 + }, + { + "epoch": 4.61, + "learning_rate": 1.7068907563025213e-05, + "loss": 1.427, + "step": 922 + }, + { + "epoch": 4.62, + "learning_rate": 1.7065546218487396e-05, + "loss": 1.7131, + "step": 923 + }, + { + "epoch": 4.62, + "learning_rate": 1.706218487394958e-05, + "loss": 1.6182, + "step": 924 + }, + { + "epoch": 4.62, + "learning_rate": 1.7058823529411767e-05, + "loss": 1.8329, + "step": 925 + }, + { + "epoch": 4.63, + "learning_rate": 1.705546218487395e-05, + "loss": 1.4514, + "step": 926 + }, + { + "epoch": 4.63, + "learning_rate": 1.7052100840336138e-05, + "loss": 1.1646, + "step": 927 + }, + { + "epoch": 4.64, + "learning_rate": 1.704873949579832e-05, + "loss": 1.9231, + "step": 928 + }, + { + "epoch": 4.64, + "learning_rate": 1.7045378151260505e-05, + "loss": 1.4422, + "step": 929 + }, + { + "epoch": 4.65, + "learning_rate": 1.704201680672269e-05, + "loss": 1.833, + "step": 930 + }, + { + "epoch": 4.66, + "learning_rate": 1.7038655462184873e-05, + "loss": 1.8678, + "step": 931 + }, + { + "epoch": 4.66, + "learning_rate": 1.7035294117647062e-05, + "loss": 1.1767, + "step": 932 + }, + { + "epoch": 4.67, + "learning_rate": 1.7031932773109244e-05, + "loss": 1.9006, + "step": 933 + }, + { + "epoch": 4.67, + "learning_rate": 1.702857142857143e-05, + "loss": 1.3754, + "step": 934 + }, + { + "epoch": 4.67, + "learning_rate": 1.7025210084033615e-05, + "loss": 1.6052, + "step": 935 + }, + { + "epoch": 4.68, + "learning_rate": 1.7021848739495797e-05, + "loss": 1.3343, + "step": 936 + }, + { + "epoch": 4.69, + "learning_rate": 1.7018487394957986e-05, + "loss": 1.6148, + "step": 937 + }, + { + "epoch": 4.69, + "learning_rate": 1.701512605042017e-05, + "loss": 2.1918, + "step": 938 + }, + { + "epoch": 4.7, + "learning_rate": 1.7011764705882354e-05, + "loss": 1.9696, + "step": 939 + }, + { + "epoch": 4.7, + "learning_rate": 1.700840336134454e-05, + "loss": 1.7889, + "step": 940 + }, + { + "epoch": 4.71, + "learning_rate": 1.700504201680672e-05, + "loss": 1.3137, + "step": 941 + }, + { + "epoch": 4.71, + "learning_rate": 1.700168067226891e-05, + "loss": 1.8226, + "step": 942 + }, + { + "epoch": 4.71, + "learning_rate": 1.6998319327731093e-05, + "loss": 1.4642, + "step": 943 + }, + { + "epoch": 4.72, + "learning_rate": 1.6994957983193278e-05, + "loss": 1.3063, + "step": 944 + }, + { + "epoch": 4.72, + "learning_rate": 1.6991596638655464e-05, + "loss": 1.4467, + "step": 945 + }, + { + "epoch": 4.73, + "learning_rate": 1.698823529411765e-05, + "loss": 1.1526, + "step": 946 + }, + { + "epoch": 4.74, + "learning_rate": 1.6984873949579835e-05, + "loss": 1.6759, + "step": 947 + }, + { + "epoch": 4.74, + "learning_rate": 1.698151260504202e-05, + "loss": 1.4359, + "step": 948 + }, + { + "epoch": 4.75, + "learning_rate": 1.6978151260504202e-05, + "loss": 1.4346, + "step": 949 + }, + { + "epoch": 4.75, + "learning_rate": 1.6974789915966388e-05, + "loss": 1.7352, + "step": 950 + }, + { + "epoch": 4.75, + "learning_rate": 1.6971428571428574e-05, + "loss": 1.8579, + "step": 951 + }, + { + "epoch": 4.76, + "learning_rate": 1.696806722689076e-05, + "loss": 1.5145, + "step": 952 + }, + { + "epoch": 4.76, + "learning_rate": 1.6964705882352945e-05, + "loss": 1.1519, + "step": 953 + }, + { + "epoch": 4.77, + "learning_rate": 1.6961344537815127e-05, + "loss": 1.1801, + "step": 954 + }, + { + "epoch": 4.78, + "learning_rate": 1.6957983193277312e-05, + "loss": 1.8008, + "step": 955 + }, + { + "epoch": 4.78, + "learning_rate": 1.6954621848739498e-05, + "loss": 1.3586, + "step": 956 + }, + { + "epoch": 4.79, + "learning_rate": 1.6951260504201683e-05, + "loss": 1.5471, + "step": 957 + }, + { + "epoch": 4.79, + "learning_rate": 1.694789915966387e-05, + "loss": 1.5193, + "step": 958 + }, + { + "epoch": 4.79, + "learning_rate": 1.694453781512605e-05, + "loss": 0.8677, + "step": 959 + }, + { + "epoch": 4.8, + "learning_rate": 1.6941176470588237e-05, + "loss": 1.7653, + "step": 960 + }, + { + "epoch": 4.8, + "learning_rate": 1.6937815126050422e-05, + "loss": 0.9554, + "step": 961 + }, + { + "epoch": 4.81, + "learning_rate": 1.6934453781512604e-05, + "loss": 2.0856, + "step": 962 + }, + { + "epoch": 4.81, + "learning_rate": 1.6931092436974793e-05, + "loss": 1.2328, + "step": 963 + }, + { + "epoch": 4.82, + "learning_rate": 1.6927731092436975e-05, + "loss": 1.3862, + "step": 964 + }, + { + "epoch": 4.83, + "learning_rate": 1.692436974789916e-05, + "loss": 1.5412, + "step": 965 + }, + { + "epoch": 4.83, + "learning_rate": 1.6921008403361346e-05, + "loss": 0.9202, + "step": 966 + }, + { + "epoch": 4.83, + "learning_rate": 1.691764705882353e-05, + "loss": 1.9779, + "step": 967 + }, + { + "epoch": 4.84, + "learning_rate": 1.6914285714285717e-05, + "loss": 1.5727, + "step": 968 + }, + { + "epoch": 4.84, + "learning_rate": 1.69109243697479e-05, + "loss": 1.4251, + "step": 969 + }, + { + "epoch": 4.85, + "learning_rate": 1.6907563025210085e-05, + "loss": 1.4676, + "step": 970 + }, + { + "epoch": 4.86, + "learning_rate": 1.690420168067227e-05, + "loss": 1.3398, + "step": 971 + }, + { + "epoch": 4.86, + "learning_rate": 1.6900840336134453e-05, + "loss": 2.621, + "step": 972 + }, + { + "epoch": 4.87, + "learning_rate": 1.689747899159664e-05, + "loss": 1.4397, + "step": 973 + }, + { + "epoch": 4.87, + "learning_rate": 1.6894117647058824e-05, + "loss": 1.2787, + "step": 974 + }, + { + "epoch": 4.88, + "learning_rate": 1.689075630252101e-05, + "loss": 1.0625, + "step": 975 + }, + { + "epoch": 4.88, + "learning_rate": 1.6887394957983195e-05, + "loss": 1.2127, + "step": 976 + }, + { + "epoch": 4.88, + "learning_rate": 1.6884033613445377e-05, + "loss": 1.5869, + "step": 977 + }, + { + "epoch": 4.89, + "learning_rate": 1.6880672268907566e-05, + "loss": 1.0362, + "step": 978 + }, + { + "epoch": 4.89, + "learning_rate": 1.6877310924369748e-05, + "loss": 1.2326, + "step": 979 + }, + { + "epoch": 4.9, + "learning_rate": 1.6873949579831934e-05, + "loss": 1.2978, + "step": 980 + }, + { + "epoch": 4.91, + "learning_rate": 1.687058823529412e-05, + "loss": 0.9817, + "step": 981 + }, + { + "epoch": 4.91, + "learning_rate": 1.6867226890756305e-05, + "loss": 1.6758, + "step": 982 + }, + { + "epoch": 4.92, + "learning_rate": 1.686386554621849e-05, + "loss": 1.1658, + "step": 983 + }, + { + "epoch": 4.92, + "learning_rate": 1.6860504201680676e-05, + "loss": 2.0899, + "step": 984 + }, + { + "epoch": 4.92, + "learning_rate": 1.6857142857142858e-05, + "loss": 1.5327, + "step": 985 + }, + { + "epoch": 4.93, + "learning_rate": 1.6853781512605043e-05, + "loss": 1.7069, + "step": 986 + }, + { + "epoch": 4.94, + "learning_rate": 1.685042016806723e-05, + "loss": 1.9135, + "step": 987 + }, + { + "epoch": 4.94, + "learning_rate": 1.6847058823529414e-05, + "loss": 1.4311, + "step": 988 + }, + { + "epoch": 4.95, + "learning_rate": 1.68436974789916e-05, + "loss": 1.5842, + "step": 989 + }, + { + "epoch": 4.95, + "learning_rate": 1.6840336134453782e-05, + "loss": 1.172, + "step": 990 + }, + { + "epoch": 4.96, + "learning_rate": 1.6836974789915968e-05, + "loss": 1.5041, + "step": 991 + }, + { + "epoch": 4.96, + "learning_rate": 1.6833613445378153e-05, + "loss": 2.0567, + "step": 992 + }, + { + "epoch": 4.96, + "learning_rate": 1.683025210084034e-05, + "loss": 1.3439, + "step": 993 + }, + { + "epoch": 4.97, + "learning_rate": 1.6826890756302524e-05, + "loss": 1.2205, + "step": 994 + }, + { + "epoch": 4.97, + "learning_rate": 1.6823529411764706e-05, + "loss": 1.4766, + "step": 995 + }, + { + "epoch": 4.98, + "learning_rate": 1.6820168067226892e-05, + "loss": 1.2181, + "step": 996 + }, + { + "epoch": 4.99, + "learning_rate": 1.6816806722689078e-05, + "loss": 1.6402, + "step": 997 + }, + { + "epoch": 4.99, + "learning_rate": 1.6813445378151263e-05, + "loss": 1.5552, + "step": 998 + }, + { + "epoch": 5.0, + "learning_rate": 1.681008403361345e-05, + "loss": 2.3447, + "step": 999 + }, + { + "epoch": 5.0, + "learning_rate": 1.680672268907563e-05, + "loss": 1.3879, + "step": 1000 + }, + { + "epoch": 5.0, + "eval_accuracy": 0.535, + "eval_loss": 1.4773244857788086, + "eval_roc_auc": 0.8957914234708142, + "eval_runtime": 59.2637, + "eval_samples_per_second": 3.375, + "eval_steps_per_second": 0.844, + "step": 1000 + }, + { + "epoch": 5.0, + "learning_rate": 1.6803361344537816e-05, + "loss": 1.7157, + "step": 1001 + }, + { + "epoch": 5.01, + "learning_rate": 1.6800000000000002e-05, + "loss": 1.427, + "step": 1002 + }, + { + "epoch": 5.01, + "learning_rate": 1.6796638655462184e-05, + "loss": 1.3293, + "step": 1003 + }, + { + "epoch": 5.02, + "learning_rate": 1.6793277310924373e-05, + "loss": 1.7364, + "step": 1004 + }, + { + "epoch": 5.03, + "learning_rate": 1.6789915966386555e-05, + "loss": 1.5252, + "step": 1005 + }, + { + "epoch": 5.03, + "learning_rate": 1.678655462184874e-05, + "loss": 1.2278, + "step": 1006 + }, + { + "epoch": 5.04, + "learning_rate": 1.6783193277310926e-05, + "loss": 1.4278, + "step": 1007 + }, + { + "epoch": 5.04, + "learning_rate": 1.6779831932773108e-05, + "loss": 1.6314, + "step": 1008 + }, + { + "epoch": 5.04, + "learning_rate": 1.6776470588235297e-05, + "loss": 1.9773, + "step": 1009 + }, + { + "epoch": 5.05, + "learning_rate": 1.677310924369748e-05, + "loss": 1.4444, + "step": 1010 + }, + { + "epoch": 5.05, + "learning_rate": 1.6769747899159665e-05, + "loss": 2.0709, + "step": 1011 + }, + { + "epoch": 5.06, + "learning_rate": 1.676638655462185e-05, + "loss": 1.2117, + "step": 1012 + }, + { + "epoch": 5.07, + "learning_rate": 1.6763025210084032e-05, + "loss": 1.1841, + "step": 1013 + }, + { + "epoch": 5.07, + "learning_rate": 1.675966386554622e-05, + "loss": 2.2189, + "step": 1014 + }, + { + "epoch": 5.08, + "learning_rate": 1.6756302521008404e-05, + "loss": 1.5028, + "step": 1015 + }, + { + "epoch": 5.08, + "learning_rate": 1.675294117647059e-05, + "loss": 1.6113, + "step": 1016 + }, + { + "epoch": 5.08, + "learning_rate": 1.6749579831932775e-05, + "loss": 1.3205, + "step": 1017 + }, + { + "epoch": 5.09, + "learning_rate": 1.674621848739496e-05, + "loss": 2.0008, + "step": 1018 + }, + { + "epoch": 5.09, + "learning_rate": 1.6742857142857146e-05, + "loss": 1.058, + "step": 1019 + }, + { + "epoch": 5.1, + "learning_rate": 1.673949579831933e-05, + "loss": 1.1493, + "step": 1020 + }, + { + "epoch": 5.11, + "learning_rate": 1.6736134453781513e-05, + "loss": 2.0865, + "step": 1021 + }, + { + "epoch": 5.11, + "learning_rate": 1.67327731092437e-05, + "loss": 1.1288, + "step": 1022 + }, + { + "epoch": 5.12, + "learning_rate": 1.6729411764705884e-05, + "loss": 1.3195, + "step": 1023 + }, + { + "epoch": 5.12, + "learning_rate": 1.672605042016807e-05, + "loss": 1.554, + "step": 1024 + }, + { + "epoch": 5.12, + "learning_rate": 1.6722689075630255e-05, + "loss": 1.182, + "step": 1025 + }, + { + "epoch": 5.13, + "learning_rate": 1.6719327731092438e-05, + "loss": 1.5031, + "step": 1026 + }, + { + "epoch": 5.13, + "learning_rate": 1.6715966386554623e-05, + "loss": 2.1084, + "step": 1027 + }, + { + "epoch": 5.14, + "learning_rate": 1.671260504201681e-05, + "loss": 1.9583, + "step": 1028 + }, + { + "epoch": 5.14, + "learning_rate": 1.6709243697478994e-05, + "loss": 2.0086, + "step": 1029 + }, + { + "epoch": 5.15, + "learning_rate": 1.670588235294118e-05, + "loss": 1.4343, + "step": 1030 + }, + { + "epoch": 5.16, + "learning_rate": 1.6702521008403362e-05, + "loss": 1.6215, + "step": 1031 + }, + { + "epoch": 5.16, + "learning_rate": 1.6699159663865547e-05, + "loss": 1.1528, + "step": 1032 + }, + { + "epoch": 5.17, + "learning_rate": 1.6695798319327733e-05, + "loss": 0.9068, + "step": 1033 + }, + { + "epoch": 5.17, + "learning_rate": 1.669243697478992e-05, + "loss": 2.3929, + "step": 1034 + }, + { + "epoch": 5.17, + "learning_rate": 1.6689075630252104e-05, + "loss": 1.2193, + "step": 1035 + }, + { + "epoch": 5.18, + "learning_rate": 1.6685714285714286e-05, + "loss": 2.0467, + "step": 1036 + }, + { + "epoch": 5.18, + "learning_rate": 1.6682352941176472e-05, + "loss": 1.646, + "step": 1037 + }, + { + "epoch": 5.19, + "learning_rate": 1.6678991596638657e-05, + "loss": 1.1088, + "step": 1038 + }, + { + "epoch": 5.2, + "learning_rate": 1.667563025210084e-05, + "loss": 1.5222, + "step": 1039 + }, + { + "epoch": 5.2, + "learning_rate": 1.6672268907563028e-05, + "loss": 1.5594, + "step": 1040 + }, + { + "epoch": 5.21, + "learning_rate": 1.666890756302521e-05, + "loss": 0.9929, + "step": 1041 + }, + { + "epoch": 5.21, + "learning_rate": 1.6665546218487396e-05, + "loss": 1.1597, + "step": 1042 + }, + { + "epoch": 5.21, + "learning_rate": 1.666218487394958e-05, + "loss": 1.6361, + "step": 1043 + }, + { + "epoch": 5.22, + "learning_rate": 1.6658823529411764e-05, + "loss": 1.5112, + "step": 1044 + }, + { + "epoch": 5.22, + "learning_rate": 1.6655462184873953e-05, + "loss": 0.9478, + "step": 1045 + }, + { + "epoch": 5.23, + "learning_rate": 1.6652100840336135e-05, + "loss": 1.2458, + "step": 1046 + }, + { + "epoch": 5.24, + "learning_rate": 1.664873949579832e-05, + "loss": 1.6527, + "step": 1047 + }, + { + "epoch": 5.24, + "learning_rate": 1.6645378151260506e-05, + "loss": 1.776, + "step": 1048 + }, + { + "epoch": 5.25, + "learning_rate": 1.6642016806722688e-05, + "loss": 1.7272, + "step": 1049 + }, + { + "epoch": 5.25, + "learning_rate": 1.6638655462184877e-05, + "loss": 0.9831, + "step": 1050 + }, + { + "epoch": 5.25, + "learning_rate": 1.663529411764706e-05, + "loss": 1.1074, + "step": 1051 + }, + { + "epoch": 5.26, + "learning_rate": 1.6631932773109245e-05, + "loss": 1.5107, + "step": 1052 + }, + { + "epoch": 5.26, + "learning_rate": 1.662857142857143e-05, + "loss": 0.8427, + "step": 1053 + }, + { + "epoch": 5.27, + "learning_rate": 1.6625210084033616e-05, + "loss": 1.1298, + "step": 1054 + }, + { + "epoch": 5.28, + "learning_rate": 1.66218487394958e-05, + "loss": 0.7505, + "step": 1055 + }, + { + "epoch": 5.28, + "learning_rate": 1.6618487394957987e-05, + "loss": 1.2234, + "step": 1056 + }, + { + "epoch": 5.29, + "learning_rate": 1.661512605042017e-05, + "loss": 1.1564, + "step": 1057 + }, + { + "epoch": 5.29, + "learning_rate": 1.6611764705882354e-05, + "loss": 1.7779, + "step": 1058 + }, + { + "epoch": 5.29, + "learning_rate": 1.660840336134454e-05, + "loss": 1.794, + "step": 1059 + }, + { + "epoch": 5.3, + "learning_rate": 1.6605042016806725e-05, + "loss": 1.3163, + "step": 1060 + }, + { + "epoch": 5.3, + "learning_rate": 1.660168067226891e-05, + "loss": 1.2571, + "step": 1061 + }, + { + "epoch": 5.31, + "learning_rate": 1.6598319327731093e-05, + "loss": 1.1906, + "step": 1062 + }, + { + "epoch": 5.32, + "learning_rate": 1.659495798319328e-05, + "loss": 1.3863, + "step": 1063 + }, + { + "epoch": 5.32, + "learning_rate": 1.6591596638655464e-05, + "loss": 1.906, + "step": 1064 + }, + { + "epoch": 5.33, + "learning_rate": 1.658823529411765e-05, + "loss": 1.0915, + "step": 1065 + }, + { + "epoch": 5.33, + "learning_rate": 1.6584873949579835e-05, + "loss": 1.3454, + "step": 1066 + }, + { + "epoch": 5.33, + "learning_rate": 1.6581512605042017e-05, + "loss": 1.1404, + "step": 1067 + }, + { + "epoch": 5.34, + "learning_rate": 1.6578151260504203e-05, + "loss": 1.5377, + "step": 1068 + }, + { + "epoch": 5.34, + "learning_rate": 1.657478991596639e-05, + "loss": 1.7608, + "step": 1069 + }, + { + "epoch": 5.35, + "learning_rate": 1.6571428571428574e-05, + "loss": 1.4767, + "step": 1070 + }, + { + "epoch": 5.36, + "learning_rate": 1.656806722689076e-05, + "loss": 0.8668, + "step": 1071 + }, + { + "epoch": 5.36, + "learning_rate": 1.656470588235294e-05, + "loss": 1.4067, + "step": 1072 + }, + { + "epoch": 5.37, + "learning_rate": 1.6561344537815127e-05, + "loss": 1.0885, + "step": 1073 + }, + { + "epoch": 5.37, + "learning_rate": 1.6557983193277313e-05, + "loss": 1.4431, + "step": 1074 + }, + { + "epoch": 5.38, + "learning_rate": 1.6554621848739495e-05, + "loss": 1.1438, + "step": 1075 + }, + { + "epoch": 5.38, + "learning_rate": 1.6551260504201684e-05, + "loss": 1.5103, + "step": 1076 + }, + { + "epoch": 5.38, + "learning_rate": 1.6547899159663866e-05, + "loss": 1.8202, + "step": 1077 + }, + { + "epoch": 5.39, + "learning_rate": 1.654453781512605e-05, + "loss": 1.6744, + "step": 1078 + }, + { + "epoch": 5.39, + "learning_rate": 1.6541176470588237e-05, + "loss": 0.6054, + "step": 1079 + }, + { + "epoch": 5.4, + "learning_rate": 1.653781512605042e-05, + "loss": 1.5243, + "step": 1080 + }, + { + "epoch": 5.41, + "learning_rate": 1.6534453781512608e-05, + "loss": 1.462, + "step": 1081 + }, + { + "epoch": 5.41, + "learning_rate": 1.653109243697479e-05, + "loss": 1.9664, + "step": 1082 + }, + { + "epoch": 5.42, + "learning_rate": 1.6527731092436976e-05, + "loss": 1.1033, + "step": 1083 + }, + { + "epoch": 5.42, + "learning_rate": 1.652436974789916e-05, + "loss": 1.4708, + "step": 1084 + }, + { + "epoch": 5.42, + "learning_rate": 1.6521008403361343e-05, + "loss": 1.5573, + "step": 1085 + }, + { + "epoch": 5.43, + "learning_rate": 1.6517647058823532e-05, + "loss": 1.8435, + "step": 1086 + }, + { + "epoch": 5.43, + "learning_rate": 1.6514285714285714e-05, + "loss": 0.7148, + "step": 1087 + }, + { + "epoch": 5.44, + "learning_rate": 1.65109243697479e-05, + "loss": 1.3012, + "step": 1088 + }, + { + "epoch": 5.45, + "learning_rate": 1.6507563025210086e-05, + "loss": 1.6931, + "step": 1089 + }, + { + "epoch": 5.45, + "learning_rate": 1.650420168067227e-05, + "loss": 1.1755, + "step": 1090 + }, + { + "epoch": 5.46, + "learning_rate": 1.6500840336134457e-05, + "loss": 1.0048, + "step": 1091 + }, + { + "epoch": 5.46, + "learning_rate": 1.6497478991596642e-05, + "loss": 1.8883, + "step": 1092 + }, + { + "epoch": 5.46, + "learning_rate": 1.6494117647058824e-05, + "loss": 0.9525, + "step": 1093 + }, + { + "epoch": 5.47, + "learning_rate": 1.649075630252101e-05, + "loss": 1.2001, + "step": 1094 + }, + { + "epoch": 5.47, + "learning_rate": 1.6487394957983195e-05, + "loss": 1.0612, + "step": 1095 + }, + { + "epoch": 5.48, + "learning_rate": 1.648403361344538e-05, + "loss": 1.7714, + "step": 1096 + }, + { + "epoch": 5.49, + "learning_rate": 1.6480672268907566e-05, + "loss": 1.1516, + "step": 1097 + }, + { + "epoch": 5.49, + "learning_rate": 1.647731092436975e-05, + "loss": 1.2985, + "step": 1098 + }, + { + "epoch": 5.5, + "learning_rate": 1.6473949579831934e-05, + "loss": 1.186, + "step": 1099 + }, + { + "epoch": 5.5, + "learning_rate": 1.647058823529412e-05, + "loss": 1.6637, + "step": 1100 + }, + { + "epoch": 5.5, + "learning_rate": 1.6467226890756305e-05, + "loss": 1.7794, + "step": 1101 + }, + { + "epoch": 5.51, + "learning_rate": 1.646386554621849e-05, + "loss": 1.1332, + "step": 1102 + }, + { + "epoch": 5.51, + "learning_rate": 1.6460504201680673e-05, + "loss": 0.9867, + "step": 1103 + }, + { + "epoch": 5.52, + "learning_rate": 1.645714285714286e-05, + "loss": 0.854, + "step": 1104 + }, + { + "epoch": 5.53, + "learning_rate": 1.6453781512605044e-05, + "loss": 1.2697, + "step": 1105 + }, + { + "epoch": 5.53, + "learning_rate": 1.645042016806723e-05, + "loss": 1.7843, + "step": 1106 + }, + { + "epoch": 5.54, + "learning_rate": 1.6447058823529415e-05, + "loss": 1.3619, + "step": 1107 + }, + { + "epoch": 5.54, + "learning_rate": 1.6443697478991597e-05, + "loss": 1.6789, + "step": 1108 + }, + { + "epoch": 5.54, + "learning_rate": 1.6440336134453783e-05, + "loss": 1.8019, + "step": 1109 + }, + { + "epoch": 5.55, + "learning_rate": 1.6436974789915968e-05, + "loss": 1.3392, + "step": 1110 + }, + { + "epoch": 5.55, + "learning_rate": 1.643361344537815e-05, + "loss": 0.875, + "step": 1111 + }, + { + "epoch": 5.56, + "learning_rate": 1.643025210084034e-05, + "loss": 0.7715, + "step": 1112 + }, + { + "epoch": 5.56, + "learning_rate": 1.642689075630252e-05, + "loss": 0.7839, + "step": 1113 + }, + { + "epoch": 5.57, + "learning_rate": 1.6423529411764707e-05, + "loss": 1.7014, + "step": 1114 + }, + { + "epoch": 5.58, + "learning_rate": 1.6420168067226892e-05, + "loss": 2.019, + "step": 1115 + }, + { + "epoch": 5.58, + "learning_rate": 1.6416806722689075e-05, + "loss": 1.0831, + "step": 1116 + }, + { + "epoch": 5.58, + "learning_rate": 1.6413445378151263e-05, + "loss": 1.0313, + "step": 1117 + }, + { + "epoch": 5.59, + "learning_rate": 1.6410084033613446e-05, + "loss": 1.4253, + "step": 1118 + }, + { + "epoch": 5.59, + "learning_rate": 1.640672268907563e-05, + "loss": 1.0155, + "step": 1119 + }, + { + "epoch": 5.6, + "learning_rate": 1.6403361344537817e-05, + "loss": 1.4718, + "step": 1120 + }, + { + "epoch": 5.61, + "learning_rate": 1.64e-05, + "loss": 1.6978, + "step": 1121 + }, + { + "epoch": 5.61, + "learning_rate": 1.6396638655462188e-05, + "loss": 1.0854, + "step": 1122 + }, + { + "epoch": 5.62, + "learning_rate": 1.639327731092437e-05, + "loss": 0.9845, + "step": 1123 + }, + { + "epoch": 5.62, + "learning_rate": 1.6389915966386555e-05, + "loss": 1.1716, + "step": 1124 + }, + { + "epoch": 5.62, + "learning_rate": 1.638655462184874e-05, + "loss": 1.1304, + "step": 1125 + }, + { + "epoch": 5.63, + "learning_rate": 1.6383193277310923e-05, + "loss": 1.3606, + "step": 1126 + }, + { + "epoch": 5.63, + "learning_rate": 1.6379831932773112e-05, + "loss": 1.4646, + "step": 1127 + }, + { + "epoch": 5.64, + "learning_rate": 1.6376470588235298e-05, + "loss": 0.9937, + "step": 1128 + }, + { + "epoch": 5.64, + "learning_rate": 1.637310924369748e-05, + "loss": 0.7705, + "step": 1129 + }, + { + "epoch": 5.65, + "learning_rate": 1.6369747899159665e-05, + "loss": 1.0536, + "step": 1130 + }, + { + "epoch": 5.66, + "learning_rate": 1.636638655462185e-05, + "loss": 1.5941, + "step": 1131 + }, + { + "epoch": 5.66, + "learning_rate": 1.6363025210084036e-05, + "loss": 1.6897, + "step": 1132 + }, + { + "epoch": 5.67, + "learning_rate": 1.6359663865546222e-05, + "loss": 1.4752, + "step": 1133 + }, + { + "epoch": 5.67, + "learning_rate": 1.6356302521008404e-05, + "loss": 1.8967, + "step": 1134 + }, + { + "epoch": 5.67, + "learning_rate": 1.635294117647059e-05, + "loss": 1.0351, + "step": 1135 + }, + { + "epoch": 5.68, + "learning_rate": 1.6349579831932775e-05, + "loss": 1.3048, + "step": 1136 + }, + { + "epoch": 5.69, + "learning_rate": 1.634621848739496e-05, + "loss": 1.1424, + "step": 1137 + }, + { + "epoch": 5.69, + "learning_rate": 1.6342857142857146e-05, + "loss": 1.1391, + "step": 1138 + }, + { + "epoch": 5.7, + "learning_rate": 1.6339495798319328e-05, + "loss": 0.8827, + "step": 1139 + }, + { + "epoch": 5.7, + "learning_rate": 1.6336134453781514e-05, + "loss": 1.7766, + "step": 1140 + }, + { + "epoch": 5.71, + "learning_rate": 1.63327731092437e-05, + "loss": 1.193, + "step": 1141 + }, + { + "epoch": 5.71, + "learning_rate": 1.6329411764705885e-05, + "loss": 0.9924, + "step": 1142 + }, + { + "epoch": 5.71, + "learning_rate": 1.632605042016807e-05, + "loss": 2.0223, + "step": 1143 + }, + { + "epoch": 5.72, + "learning_rate": 1.6322689075630253e-05, + "loss": 0.911, + "step": 1144 + }, + { + "epoch": 5.72, + "learning_rate": 1.6319327731092438e-05, + "loss": 1.704, + "step": 1145 + }, + { + "epoch": 5.73, + "learning_rate": 1.6315966386554624e-05, + "loss": 1.6955, + "step": 1146 + }, + { + "epoch": 5.74, + "learning_rate": 1.631260504201681e-05, + "loss": 1.0461, + "step": 1147 + }, + { + "epoch": 5.74, + "learning_rate": 1.6309243697478995e-05, + "loss": 1.4426, + "step": 1148 + }, + { + "epoch": 5.75, + "learning_rate": 1.6305882352941177e-05, + "loss": 1.1612, + "step": 1149 + }, + { + "epoch": 5.75, + "learning_rate": 1.6302521008403362e-05, + "loss": 1.0824, + "step": 1150 + }, + { + "epoch": 5.75, + "learning_rate": 1.6299159663865548e-05, + "loss": 1.0201, + "step": 1151 + }, + { + "epoch": 5.76, + "learning_rate": 1.629579831932773e-05, + "loss": 1.113, + "step": 1152 + }, + { + "epoch": 5.76, + "learning_rate": 1.629243697478992e-05, + "loss": 1.1101, + "step": 1153 + }, + { + "epoch": 5.77, + "learning_rate": 1.62890756302521e-05, + "loss": 1.2609, + "step": 1154 + }, + { + "epoch": 5.78, + "learning_rate": 1.6285714285714287e-05, + "loss": 0.8794, + "step": 1155 + }, + { + "epoch": 5.78, + "learning_rate": 1.6282352941176472e-05, + "loss": 1.2637, + "step": 1156 + }, + { + "epoch": 5.79, + "learning_rate": 1.6278991596638654e-05, + "loss": 1.1926, + "step": 1157 + }, + { + "epoch": 5.79, + "learning_rate": 1.6275630252100843e-05, + "loss": 1.0704, + "step": 1158 + }, + { + "epoch": 5.79, + "learning_rate": 1.6272268907563025e-05, + "loss": 1.1446, + "step": 1159 + }, + { + "epoch": 5.8, + "learning_rate": 1.626890756302521e-05, + "loss": 0.6968, + "step": 1160 + }, + { + "epoch": 5.8, + "learning_rate": 1.6265546218487396e-05, + "loss": 1.2216, + "step": 1161 + }, + { + "epoch": 5.81, + "learning_rate": 1.626218487394958e-05, + "loss": 1.3009, + "step": 1162 + }, + { + "epoch": 5.81, + "learning_rate": 1.6258823529411767e-05, + "loss": 1.3428, + "step": 1163 + }, + { + "epoch": 5.82, + "learning_rate": 1.6255462184873953e-05, + "loss": 2.0255, + "step": 1164 + }, + { + "epoch": 5.83, + "learning_rate": 1.6252100840336135e-05, + "loss": 0.9347, + "step": 1165 + }, + { + "epoch": 5.83, + "learning_rate": 1.624873949579832e-05, + "loss": 1.1402, + "step": 1166 + }, + { + "epoch": 5.83, + "learning_rate": 1.6245378151260506e-05, + "loss": 1.0697, + "step": 1167 + }, + { + "epoch": 5.84, + "learning_rate": 1.6242016806722692e-05, + "loss": 1.1744, + "step": 1168 + }, + { + "epoch": 5.84, + "learning_rate": 1.6238655462184877e-05, + "loss": 1.8454, + "step": 1169 + }, + { + "epoch": 5.85, + "learning_rate": 1.623529411764706e-05, + "loss": 0.9819, + "step": 1170 + }, + { + "epoch": 5.86, + "learning_rate": 1.6231932773109245e-05, + "loss": 1.8979, + "step": 1171 + }, + { + "epoch": 5.86, + "learning_rate": 1.622857142857143e-05, + "loss": 2.0536, + "step": 1172 + }, + { + "epoch": 5.87, + "learning_rate": 1.6225210084033616e-05, + "loss": 1.209, + "step": 1173 + }, + { + "epoch": 5.87, + "learning_rate": 1.62218487394958e-05, + "loss": 1.5402, + "step": 1174 + }, + { + "epoch": 5.88, + "learning_rate": 1.6218487394957984e-05, + "loss": 1.1073, + "step": 1175 + }, + { + "epoch": 5.88, + "learning_rate": 1.621512605042017e-05, + "loss": 1.5667, + "step": 1176 + }, + { + "epoch": 5.88, + "learning_rate": 1.6211764705882355e-05, + "loss": 1.943, + "step": 1177 + }, + { + "epoch": 5.89, + "learning_rate": 1.620840336134454e-05, + "loss": 1.4082, + "step": 1178 + }, + { + "epoch": 5.89, + "learning_rate": 1.6205042016806726e-05, + "loss": 0.9623, + "step": 1179 + }, + { + "epoch": 5.9, + "learning_rate": 1.6201680672268908e-05, + "loss": 1.1233, + "step": 1180 + }, + { + "epoch": 5.91, + "learning_rate": 1.6198319327731094e-05, + "loss": 1.5665, + "step": 1181 + }, + { + "epoch": 5.91, + "learning_rate": 1.619495798319328e-05, + "loss": 1.6233, + "step": 1182 + }, + { + "epoch": 5.92, + "learning_rate": 1.6191596638655465e-05, + "loss": 2.1968, + "step": 1183 + }, + { + "epoch": 5.92, + "learning_rate": 1.618823529411765e-05, + "loss": 1.426, + "step": 1184 + }, + { + "epoch": 5.92, + "learning_rate": 1.6184873949579832e-05, + "loss": 1.4428, + "step": 1185 + }, + { + "epoch": 5.93, + "learning_rate": 1.6181512605042018e-05, + "loss": 1.4303, + "step": 1186 + }, + { + "epoch": 5.94, + "learning_rate": 1.6178151260504203e-05, + "loss": 1.2899, + "step": 1187 + }, + { + "epoch": 5.94, + "learning_rate": 1.6174789915966385e-05, + "loss": 1.0946, + "step": 1188 + }, + { + "epoch": 5.95, + "learning_rate": 1.6171428571428574e-05, + "loss": 1.9359, + "step": 1189 + }, + { + "epoch": 5.95, + "learning_rate": 1.6168067226890757e-05, + "loss": 1.4116, + "step": 1190 + }, + { + "epoch": 5.96, + "learning_rate": 1.6164705882352942e-05, + "loss": 0.9763, + "step": 1191 + }, + { + "epoch": 5.96, + "learning_rate": 1.6161344537815128e-05, + "loss": 1.7772, + "step": 1192 + }, + { + "epoch": 5.96, + "learning_rate": 1.615798319327731e-05, + "loss": 0.8086, + "step": 1193 + }, + { + "epoch": 5.97, + "learning_rate": 1.61546218487395e-05, + "loss": 1.5065, + "step": 1194 + }, + { + "epoch": 5.97, + "learning_rate": 1.615126050420168e-05, + "loss": 1.5105, + "step": 1195 + }, + { + "epoch": 5.98, + "learning_rate": 1.6147899159663866e-05, + "loss": 1.2318, + "step": 1196 + }, + { + "epoch": 5.99, + "learning_rate": 1.6144537815126052e-05, + "loss": 1.0817, + "step": 1197 + }, + { + "epoch": 5.99, + "learning_rate": 1.6141176470588234e-05, + "loss": 1.9596, + "step": 1198 + }, + { + "epoch": 6.0, + "learning_rate": 1.6137815126050423e-05, + "loss": 1.5029, + "step": 1199 + }, + { + "epoch": 6.0, + "learning_rate": 1.6134453781512605e-05, + "loss": 1.9725, + "step": 1200 + }, + { + "epoch": 6.0, + "eval_accuracy": 0.6, + "eval_loss": 1.3882371187210083, + "eval_roc_auc": 0.9029011167441705, + "eval_runtime": 59.0995, + "eval_samples_per_second": 3.384, + "eval_steps_per_second": 0.846, + "step": 1200 + }, + { + "epoch": 6.0, + "learning_rate": 1.613109243697479e-05, + "loss": 1.3245, + "step": 1201 + }, + { + "epoch": 6.01, + "learning_rate": 1.6127731092436976e-05, + "loss": 1.1764, + "step": 1202 + }, + { + "epoch": 6.01, + "learning_rate": 1.612436974789916e-05, + "loss": 0.909, + "step": 1203 + }, + { + "epoch": 6.02, + "learning_rate": 1.6121008403361347e-05, + "loss": 0.9372, + "step": 1204 + }, + { + "epoch": 6.03, + "learning_rate": 1.6117647058823533e-05, + "loss": 1.3217, + "step": 1205 + }, + { + "epoch": 6.03, + "learning_rate": 1.6114285714285715e-05, + "loss": 0.7344, + "step": 1206 + }, + { + "epoch": 6.04, + "learning_rate": 1.61109243697479e-05, + "loss": 1.0886, + "step": 1207 + }, + { + "epoch": 6.04, + "learning_rate": 1.6107563025210086e-05, + "loss": 1.2764, + "step": 1208 + }, + { + "epoch": 6.04, + "learning_rate": 1.610420168067227e-05, + "loss": 0.9746, + "step": 1209 + }, + { + "epoch": 6.05, + "learning_rate": 1.6100840336134457e-05, + "loss": 1.7918, + "step": 1210 + }, + { + "epoch": 6.05, + "learning_rate": 1.609747899159664e-05, + "loss": 1.1304, + "step": 1211 + }, + { + "epoch": 6.06, + "learning_rate": 1.6094117647058825e-05, + "loss": 0.9329, + "step": 1212 + }, + { + "epoch": 6.07, + "learning_rate": 1.609075630252101e-05, + "loss": 0.9623, + "step": 1213 + }, + { + "epoch": 6.07, + "learning_rate": 1.6087394957983196e-05, + "loss": 1.0223, + "step": 1214 + }, + { + "epoch": 6.08, + "learning_rate": 1.608403361344538e-05, + "loss": 1.3383, + "step": 1215 + }, + { + "epoch": 6.08, + "learning_rate": 1.6080672268907563e-05, + "loss": 1.4942, + "step": 1216 + }, + { + "epoch": 6.08, + "learning_rate": 1.607731092436975e-05, + "loss": 0.8503, + "step": 1217 + }, + { + "epoch": 6.09, + "learning_rate": 1.6073949579831935e-05, + "loss": 1.1136, + "step": 1218 + }, + { + "epoch": 6.09, + "learning_rate": 1.607058823529412e-05, + "loss": 0.8771, + "step": 1219 + }, + { + "epoch": 6.1, + "learning_rate": 1.6067226890756306e-05, + "loss": 0.9796, + "step": 1220 + }, + { + "epoch": 6.11, + "learning_rate": 1.6063865546218488e-05, + "loss": 1.3482, + "step": 1221 + }, + { + "epoch": 6.11, + "learning_rate": 1.6060504201680673e-05, + "loss": 1.0577, + "step": 1222 + }, + { + "epoch": 6.12, + "learning_rate": 1.605714285714286e-05, + "loss": 1.2001, + "step": 1223 + }, + { + "epoch": 6.12, + "learning_rate": 1.605378151260504e-05, + "loss": 1.0752, + "step": 1224 + }, + { + "epoch": 6.12, + "learning_rate": 1.605042016806723e-05, + "loss": 1.4775, + "step": 1225 + }, + { + "epoch": 6.13, + "learning_rate": 1.6047058823529412e-05, + "loss": 1.5647, + "step": 1226 + }, + { + "epoch": 6.13, + "learning_rate": 1.6043697478991598e-05, + "loss": 1.1195, + "step": 1227 + }, + { + "epoch": 6.14, + "learning_rate": 1.6040336134453783e-05, + "loss": 0.9546, + "step": 1228 + }, + { + "epoch": 6.14, + "learning_rate": 1.6036974789915965e-05, + "loss": 1.6058, + "step": 1229 + }, + { + "epoch": 6.15, + "learning_rate": 1.6033613445378154e-05, + "loss": 0.9315, + "step": 1230 + }, + { + "epoch": 6.16, + "learning_rate": 1.6030252100840336e-05, + "loss": 1.4619, + "step": 1231 + }, + { + "epoch": 6.16, + "learning_rate": 1.6026890756302522e-05, + "loss": 1.2984, + "step": 1232 + }, + { + "epoch": 6.17, + "learning_rate": 1.6023529411764707e-05, + "loss": 1.6452, + "step": 1233 + }, + { + "epoch": 6.17, + "learning_rate": 1.602016806722689e-05, + "loss": 1.0429, + "step": 1234 + }, + { + "epoch": 6.17, + "learning_rate": 1.601680672268908e-05, + "loss": 1.7076, + "step": 1235 + }, + { + "epoch": 6.18, + "learning_rate": 1.601344537815126e-05, + "loss": 2.0313, + "step": 1236 + }, + { + "epoch": 6.18, + "learning_rate": 1.6010084033613446e-05, + "loss": 1.4904, + "step": 1237 + }, + { + "epoch": 6.19, + "learning_rate": 1.600672268907563e-05, + "loss": 0.7844, + "step": 1238 + }, + { + "epoch": 6.2, + "learning_rate": 1.6003361344537817e-05, + "loss": 1.0271, + "step": 1239 + }, + { + "epoch": 6.2, + "learning_rate": 1.6000000000000003e-05, + "loss": 1.6917, + "step": 1240 + }, + { + "epoch": 6.21, + "learning_rate": 1.5996638655462188e-05, + "loss": 0.9449, + "step": 1241 + }, + { + "epoch": 6.21, + "learning_rate": 1.599327731092437e-05, + "loss": 1.3013, + "step": 1242 + }, + { + "epoch": 6.21, + "learning_rate": 1.5989915966386556e-05, + "loss": 1.3111, + "step": 1243 + }, + { + "epoch": 6.22, + "learning_rate": 1.598655462184874e-05, + "loss": 1.7988, + "step": 1244 + }, + { + "epoch": 6.22, + "learning_rate": 1.5983193277310927e-05, + "loss": 1.5474, + "step": 1245 + }, + { + "epoch": 6.23, + "learning_rate": 1.5979831932773112e-05, + "loss": 1.2707, + "step": 1246 + }, + { + "epoch": 6.24, + "learning_rate": 1.5976470588235295e-05, + "loss": 1.3941, + "step": 1247 + }, + { + "epoch": 6.24, + "learning_rate": 1.597310924369748e-05, + "loss": 2.1052, + "step": 1248 + }, + { + "epoch": 6.25, + "learning_rate": 1.5969747899159666e-05, + "loss": 1.2788, + "step": 1249 + }, + { + "epoch": 6.25, + "learning_rate": 1.596638655462185e-05, + "loss": 1.5994, + "step": 1250 + }, + { + "epoch": 6.25, + "learning_rate": 1.5963025210084037e-05, + "loss": 1.3941, + "step": 1251 + }, + { + "epoch": 6.26, + "learning_rate": 1.595966386554622e-05, + "loss": 1.0246, + "step": 1252 + }, + { + "epoch": 6.26, + "learning_rate": 1.5956302521008404e-05, + "loss": 2.0931, + "step": 1253 + }, + { + "epoch": 6.27, + "learning_rate": 1.595294117647059e-05, + "loss": 0.8589, + "step": 1254 + }, + { + "epoch": 6.28, + "learning_rate": 1.5949579831932775e-05, + "loss": 1.0462, + "step": 1255 + }, + { + "epoch": 6.28, + "learning_rate": 1.594621848739496e-05, + "loss": 1.277, + "step": 1256 + }, + { + "epoch": 6.29, + "learning_rate": 1.5942857142857143e-05, + "loss": 1.045, + "step": 1257 + }, + { + "epoch": 6.29, + "learning_rate": 1.593949579831933e-05, + "loss": 1.306, + "step": 1258 + }, + { + "epoch": 6.29, + "learning_rate": 1.5936134453781514e-05, + "loss": 0.9184, + "step": 1259 + }, + { + "epoch": 6.3, + "learning_rate": 1.5932773109243696e-05, + "loss": 1.6684, + "step": 1260 + }, + { + "epoch": 6.3, + "learning_rate": 1.5929411764705885e-05, + "loss": 0.9397, + "step": 1261 + }, + { + "epoch": 6.31, + "learning_rate": 1.5926050420168067e-05, + "loss": 1.0623, + "step": 1262 + }, + { + "epoch": 6.32, + "learning_rate": 1.5922689075630253e-05, + "loss": 1.1177, + "step": 1263 + }, + { + "epoch": 6.32, + "learning_rate": 1.591932773109244e-05, + "loss": 2.0946, + "step": 1264 + }, + { + "epoch": 6.33, + "learning_rate": 1.591596638655462e-05, + "loss": 1.002, + "step": 1265 + }, + { + "epoch": 6.33, + "learning_rate": 1.591260504201681e-05, + "loss": 1.1438, + "step": 1266 + }, + { + "epoch": 6.33, + "learning_rate": 1.5909243697478992e-05, + "loss": 0.8772, + "step": 1267 + }, + { + "epoch": 6.34, + "learning_rate": 1.5905882352941177e-05, + "loss": 1.7187, + "step": 1268 + }, + { + "epoch": 6.34, + "learning_rate": 1.5902521008403363e-05, + "loss": 1.5492, + "step": 1269 + }, + { + "epoch": 6.35, + "learning_rate": 1.5899159663865545e-05, + "loss": 1.1004, + "step": 1270 + }, + { + "epoch": 6.36, + "learning_rate": 1.5895798319327734e-05, + "loss": 0.5741, + "step": 1271 + }, + { + "epoch": 6.36, + "learning_rate": 1.5892436974789916e-05, + "loss": 0.9467, + "step": 1272 + }, + { + "epoch": 6.37, + "learning_rate": 1.58890756302521e-05, + "loss": 0.8785, + "step": 1273 + }, + { + "epoch": 6.37, + "learning_rate": 1.5885714285714287e-05, + "loss": 0.5989, + "step": 1274 + }, + { + "epoch": 6.38, + "learning_rate": 1.5882352941176473e-05, + "loss": 1.7653, + "step": 1275 + }, + { + "epoch": 6.38, + "learning_rate": 1.5878991596638658e-05, + "loss": 1.0788, + "step": 1276 + }, + { + "epoch": 6.38, + "learning_rate": 1.5875630252100844e-05, + "loss": 0.9208, + "step": 1277 + }, + { + "epoch": 6.39, + "learning_rate": 1.5872268907563026e-05, + "loss": 1.1189, + "step": 1278 + }, + { + "epoch": 6.39, + "learning_rate": 1.586890756302521e-05, + "loss": 1.2184, + "step": 1279 + }, + { + "epoch": 6.4, + "learning_rate": 1.5865546218487397e-05, + "loss": 1.3814, + "step": 1280 + }, + { + "epoch": 6.41, + "learning_rate": 1.5862184873949582e-05, + "loss": 0.7519, + "step": 1281 + }, + { + "epoch": 6.41, + "learning_rate": 1.5858823529411768e-05, + "loss": 0.9545, + "step": 1282 + }, + { + "epoch": 6.42, + "learning_rate": 1.585546218487395e-05, + "loss": 1.5838, + "step": 1283 + }, + { + "epoch": 6.42, + "learning_rate": 1.5852100840336136e-05, + "loss": 1.1763, + "step": 1284 + }, + { + "epoch": 6.42, + "learning_rate": 1.584873949579832e-05, + "loss": 1.689, + "step": 1285 + }, + { + "epoch": 6.43, + "learning_rate": 1.5845378151260507e-05, + "loss": 1.1083, + "step": 1286 + }, + { + "epoch": 6.43, + "learning_rate": 1.5842016806722692e-05, + "loss": 1.6272, + "step": 1287 + }, + { + "epoch": 6.44, + "learning_rate": 1.5838655462184874e-05, + "loss": 1.2612, + "step": 1288 + }, + { + "epoch": 6.45, + "learning_rate": 1.583529411764706e-05, + "loss": 1.199, + "step": 1289 + }, + { + "epoch": 6.45, + "learning_rate": 1.5831932773109245e-05, + "loss": 1.313, + "step": 1290 + }, + { + "epoch": 6.46, + "learning_rate": 1.582857142857143e-05, + "loss": 0.922, + "step": 1291 + }, + { + "epoch": 6.46, + "learning_rate": 1.5825210084033616e-05, + "loss": 0.8497, + "step": 1292 + }, + { + "epoch": 6.46, + "learning_rate": 1.58218487394958e-05, + "loss": 1.655, + "step": 1293 + }, + { + "epoch": 6.47, + "learning_rate": 1.5818487394957984e-05, + "loss": 1.2304, + "step": 1294 + }, + { + "epoch": 6.47, + "learning_rate": 1.581512605042017e-05, + "loss": 1.3618, + "step": 1295 + }, + { + "epoch": 6.48, + "learning_rate": 1.5811764705882352e-05, + "loss": 1.5104, + "step": 1296 + }, + { + "epoch": 6.49, + "learning_rate": 1.580840336134454e-05, + "loss": 0.9978, + "step": 1297 + }, + { + "epoch": 6.49, + "learning_rate": 1.5805042016806723e-05, + "loss": 0.7663, + "step": 1298 + }, + { + "epoch": 6.5, + "learning_rate": 1.580168067226891e-05, + "loss": 0.881, + "step": 1299 + }, + { + "epoch": 6.5, + "learning_rate": 1.5798319327731094e-05, + "loss": 1.8301, + "step": 1300 + }, + { + "epoch": 6.5, + "learning_rate": 1.5794957983193276e-05, + "loss": 1.4478, + "step": 1301 + }, + { + "epoch": 6.51, + "learning_rate": 1.5791596638655465e-05, + "loss": 0.5908, + "step": 1302 + }, + { + "epoch": 6.51, + "learning_rate": 1.5788235294117647e-05, + "loss": 1.7524, + "step": 1303 + }, + { + "epoch": 6.52, + "learning_rate": 1.5784873949579833e-05, + "loss": 0.9784, + "step": 1304 + }, + { + "epoch": 6.53, + "learning_rate": 1.5781512605042018e-05, + "loss": 0.8663, + "step": 1305 + }, + { + "epoch": 6.53, + "learning_rate": 1.57781512605042e-05, + "loss": 0.8901, + "step": 1306 + }, + { + "epoch": 6.54, + "learning_rate": 1.577478991596639e-05, + "loss": 1.278, + "step": 1307 + }, + { + "epoch": 6.54, + "learning_rate": 1.577142857142857e-05, + "loss": 1.0282, + "step": 1308 + }, + { + "epoch": 6.54, + "learning_rate": 1.5768067226890757e-05, + "loss": 1.7128, + "step": 1309 + }, + { + "epoch": 6.55, + "learning_rate": 1.5764705882352943e-05, + "loss": 1.809, + "step": 1310 + }, + { + "epoch": 6.55, + "learning_rate": 1.5761344537815128e-05, + "loss": 1.2679, + "step": 1311 + }, + { + "epoch": 6.56, + "learning_rate": 1.5757983193277314e-05, + "loss": 1.181, + "step": 1312 + }, + { + "epoch": 6.56, + "learning_rate": 1.57546218487395e-05, + "loss": 1.4705, + "step": 1313 + }, + { + "epoch": 6.57, + "learning_rate": 1.575126050420168e-05, + "loss": 1.0662, + "step": 1314 + }, + { + "epoch": 6.58, + "learning_rate": 1.5747899159663867e-05, + "loss": 1.6724, + "step": 1315 + }, + { + "epoch": 6.58, + "learning_rate": 1.5744537815126052e-05, + "loss": 0.8986, + "step": 1316 + }, + { + "epoch": 6.58, + "learning_rate": 1.5741176470588238e-05, + "loss": 0.7886, + "step": 1317 + }, + { + "epoch": 6.59, + "learning_rate": 1.5737815126050423e-05, + "loss": 1.1763, + "step": 1318 + }, + { + "epoch": 6.59, + "learning_rate": 1.5734453781512606e-05, + "loss": 0.6245, + "step": 1319 + }, + { + "epoch": 6.6, + "learning_rate": 1.573109243697479e-05, + "loss": 1.3192, + "step": 1320 + }, + { + "epoch": 6.61, + "learning_rate": 1.5727731092436977e-05, + "loss": 1.4444, + "step": 1321 + }, + { + "epoch": 6.61, + "learning_rate": 1.5724369747899162e-05, + "loss": 0.9171, + "step": 1322 + }, + { + "epoch": 6.62, + "learning_rate": 1.5721008403361348e-05, + "loss": 1.3141, + "step": 1323 + }, + { + "epoch": 6.62, + "learning_rate": 1.571764705882353e-05, + "loss": 2.1267, + "step": 1324 + }, + { + "epoch": 6.62, + "learning_rate": 1.5714285714285715e-05, + "loss": 1.2144, + "step": 1325 + }, + { + "epoch": 6.63, + "learning_rate": 1.57109243697479e-05, + "loss": 1.0587, + "step": 1326 + }, + { + "epoch": 6.63, + "learning_rate": 1.5707563025210086e-05, + "loss": 1.4606, + "step": 1327 + }, + { + "epoch": 6.64, + "learning_rate": 1.5704201680672272e-05, + "loss": 1.4479, + "step": 1328 + }, + { + "epoch": 6.64, + "learning_rate": 1.5700840336134454e-05, + "loss": 1.6268, + "step": 1329 + }, + { + "epoch": 6.65, + "learning_rate": 1.569747899159664e-05, + "loss": 1.3206, + "step": 1330 + }, + { + "epoch": 6.66, + "learning_rate": 1.5694117647058825e-05, + "loss": 1.299, + "step": 1331 + }, + { + "epoch": 6.66, + "learning_rate": 1.569075630252101e-05, + "loss": 1.387, + "step": 1332 + }, + { + "epoch": 6.67, + "learning_rate": 1.5687394957983196e-05, + "loss": 1.6349, + "step": 1333 + }, + { + "epoch": 6.67, + "learning_rate": 1.568403361344538e-05, + "loss": 1.2825, + "step": 1334 + }, + { + "epoch": 6.67, + "learning_rate": 1.5680672268907564e-05, + "loss": 0.5926, + "step": 1335 + }, + { + "epoch": 6.68, + "learning_rate": 1.567731092436975e-05, + "loss": 0.6798, + "step": 1336 + }, + { + "epoch": 6.69, + "learning_rate": 1.567394957983193e-05, + "loss": 0.826, + "step": 1337 + }, + { + "epoch": 6.69, + "learning_rate": 1.567058823529412e-05, + "loss": 1.2229, + "step": 1338 + }, + { + "epoch": 6.7, + "learning_rate": 1.5667226890756303e-05, + "loss": 1.3253, + "step": 1339 + }, + { + "epoch": 6.7, + "learning_rate": 1.5663865546218488e-05, + "loss": 0.8094, + "step": 1340 + }, + { + "epoch": 6.71, + "learning_rate": 1.5660504201680674e-05, + "loss": 1.5033, + "step": 1341 + }, + { + "epoch": 6.71, + "learning_rate": 1.5657142857142856e-05, + "loss": 1.1606, + "step": 1342 + }, + { + "epoch": 6.71, + "learning_rate": 1.5653781512605045e-05, + "loss": 0.7401, + "step": 1343 + }, + { + "epoch": 6.72, + "learning_rate": 1.5650420168067227e-05, + "loss": 0.9275, + "step": 1344 + }, + { + "epoch": 6.72, + "learning_rate": 1.5647058823529412e-05, + "loss": 1.5645, + "step": 1345 + }, + { + "epoch": 6.73, + "learning_rate": 1.5643697478991598e-05, + "loss": 0.6952, + "step": 1346 + }, + { + "epoch": 6.74, + "learning_rate": 1.5640336134453783e-05, + "loss": 0.9648, + "step": 1347 + }, + { + "epoch": 6.74, + "learning_rate": 1.563697478991597e-05, + "loss": 0.8142, + "step": 1348 + }, + { + "epoch": 6.75, + "learning_rate": 1.5633613445378155e-05, + "loss": 0.9497, + "step": 1349 + }, + { + "epoch": 6.75, + "learning_rate": 1.5630252100840337e-05, + "loss": 0.7778, + "step": 1350 + }, + { + "epoch": 6.75, + "learning_rate": 1.5626890756302522e-05, + "loss": 1.2439, + "step": 1351 + }, + { + "epoch": 6.76, + "learning_rate": 1.5623529411764708e-05, + "loss": 1.0498, + "step": 1352 + }, + { + "epoch": 6.76, + "learning_rate": 1.5620168067226893e-05, + "loss": 0.6279, + "step": 1353 + }, + { + "epoch": 6.77, + "learning_rate": 1.561680672268908e-05, + "loss": 1.6247, + "step": 1354 + }, + { + "epoch": 6.78, + "learning_rate": 1.561344537815126e-05, + "loss": 1.1005, + "step": 1355 + }, + { + "epoch": 6.78, + "learning_rate": 1.5610084033613447e-05, + "loss": 1.2184, + "step": 1356 + }, + { + "epoch": 6.79, + "learning_rate": 1.5606722689075632e-05, + "loss": 1.174, + "step": 1357 + }, + { + "epoch": 6.79, + "learning_rate": 1.5603361344537818e-05, + "loss": 0.9476, + "step": 1358 + }, + { + "epoch": 6.79, + "learning_rate": 1.5600000000000003e-05, + "loss": 1.3203, + "step": 1359 + }, + { + "epoch": 6.8, + "learning_rate": 1.5596638655462185e-05, + "loss": 0.8406, + "step": 1360 + }, + { + "epoch": 6.8, + "learning_rate": 1.559327731092437e-05, + "loss": 1.1938, + "step": 1361 + }, + { + "epoch": 6.81, + "learning_rate": 1.5589915966386556e-05, + "loss": 0.7569, + "step": 1362 + }, + { + "epoch": 6.81, + "learning_rate": 1.5586554621848742e-05, + "loss": 0.8618, + "step": 1363 + }, + { + "epoch": 6.82, + "learning_rate": 1.5583193277310927e-05, + "loss": 1.8071, + "step": 1364 + }, + { + "epoch": 6.83, + "learning_rate": 1.557983193277311e-05, + "loss": 1.4561, + "step": 1365 + }, + { + "epoch": 6.83, + "learning_rate": 1.5576470588235295e-05, + "loss": 0.9286, + "step": 1366 + }, + { + "epoch": 6.83, + "learning_rate": 1.557310924369748e-05, + "loss": 1.0068, + "step": 1367 + }, + { + "epoch": 6.84, + "learning_rate": 1.5569747899159666e-05, + "loss": 0.9253, + "step": 1368 + }, + { + "epoch": 6.84, + "learning_rate": 1.556638655462185e-05, + "loss": 0.7034, + "step": 1369 + }, + { + "epoch": 6.85, + "learning_rate": 1.5563025210084034e-05, + "loss": 1.4365, + "step": 1370 + }, + { + "epoch": 6.86, + "learning_rate": 1.555966386554622e-05, + "loss": 2.0987, + "step": 1371 + }, + { + "epoch": 6.86, + "learning_rate": 1.5556302521008405e-05, + "loss": 1.0421, + "step": 1372 + }, + { + "epoch": 6.87, + "learning_rate": 1.5552941176470587e-05, + "loss": 1.8523, + "step": 1373 + }, + { + "epoch": 6.87, + "learning_rate": 1.5549579831932776e-05, + "loss": 1.4362, + "step": 1374 + }, + { + "epoch": 6.88, + "learning_rate": 1.5546218487394958e-05, + "loss": 1.0608, + "step": 1375 + }, + { + "epoch": 6.88, + "learning_rate": 1.5542857142857144e-05, + "loss": 1.1451, + "step": 1376 + }, + { + "epoch": 6.88, + "learning_rate": 1.553949579831933e-05, + "loss": 1.2104, + "step": 1377 + }, + { + "epoch": 6.89, + "learning_rate": 1.553613445378151e-05, + "loss": 1.9247, + "step": 1378 + }, + { + "epoch": 6.89, + "learning_rate": 1.55327731092437e-05, + "loss": 1.2842, + "step": 1379 + }, + { + "epoch": 6.9, + "learning_rate": 1.5529411764705882e-05, + "loss": 1.0527, + "step": 1380 + }, + { + "epoch": 6.91, + "learning_rate": 1.5526050420168068e-05, + "loss": 0.8655, + "step": 1381 + }, + { + "epoch": 6.91, + "learning_rate": 1.5522689075630253e-05, + "loss": 0.989, + "step": 1382 + }, + { + "epoch": 6.92, + "learning_rate": 1.551932773109244e-05, + "loss": 0.9968, + "step": 1383 + }, + { + "epoch": 6.92, + "learning_rate": 1.5515966386554624e-05, + "loss": 0.7064, + "step": 1384 + }, + { + "epoch": 6.92, + "learning_rate": 1.551260504201681e-05, + "loss": 0.8199, + "step": 1385 + }, + { + "epoch": 6.93, + "learning_rate": 1.5509243697478992e-05, + "loss": 0.618, + "step": 1386 + }, + { + "epoch": 6.94, + "learning_rate": 1.5505882352941178e-05, + "loss": 0.8924, + "step": 1387 + }, + { + "epoch": 6.94, + "learning_rate": 1.5502521008403363e-05, + "loss": 1.6634, + "step": 1388 + }, + { + "epoch": 6.95, + "learning_rate": 1.549915966386555e-05, + "loss": 0.8268, + "step": 1389 + }, + { + "epoch": 6.95, + "learning_rate": 1.5495798319327734e-05, + "loss": 0.8458, + "step": 1390 + }, + { + "epoch": 6.96, + "learning_rate": 1.5492436974789916e-05, + "loss": 0.8572, + "step": 1391 + }, + { + "epoch": 6.96, + "learning_rate": 1.5489075630252102e-05, + "loss": 1.5911, + "step": 1392 + }, + { + "epoch": 6.96, + "learning_rate": 1.5485714285714287e-05, + "loss": 1.0068, + "step": 1393 + }, + { + "epoch": 6.97, + "learning_rate": 1.5482352941176473e-05, + "loss": 0.5703, + "step": 1394 + }, + { + "epoch": 6.97, + "learning_rate": 1.547899159663866e-05, + "loss": 0.6995, + "step": 1395 + }, + { + "epoch": 6.98, + "learning_rate": 1.547563025210084e-05, + "loss": 1.1791, + "step": 1396 + }, + { + "epoch": 6.99, + "learning_rate": 1.5472268907563026e-05, + "loss": 1.0539, + "step": 1397 + }, + { + "epoch": 6.99, + "learning_rate": 1.5468907563025212e-05, + "loss": 1.5384, + "step": 1398 + }, + { + "epoch": 7.0, + "learning_rate": 1.5465546218487397e-05, + "loss": 0.6152, + "step": 1399 + }, + { + "epoch": 7.0, + "learning_rate": 1.5462184873949583e-05, + "loss": 2.3926, + "step": 1400 + }, + { + "epoch": 7.0, + "eval_accuracy": 0.695, + "eval_loss": 1.1532831192016602, + "eval_roc_auc": 0.9220912507087112, + "eval_runtime": 58.9026, + "eval_samples_per_second": 3.395, + "eval_steps_per_second": 0.849, + "step": 1400 + }, + { + "epoch": 7.0, + "learning_rate": 1.5458823529411765e-05, + "loss": 0.678, + "step": 1401 + }, + { + "epoch": 7.01, + "learning_rate": 1.545546218487395e-05, + "loss": 1.8107, + "step": 1402 + }, + { + "epoch": 7.01, + "learning_rate": 1.5452100840336136e-05, + "loss": 1.3864, + "step": 1403 + }, + { + "epoch": 7.02, + "learning_rate": 1.544873949579832e-05, + "loss": 1.0021, + "step": 1404 + }, + { + "epoch": 7.03, + "learning_rate": 1.5445378151260507e-05, + "loss": 0.9703, + "step": 1405 + }, + { + "epoch": 7.03, + "learning_rate": 1.544201680672269e-05, + "loss": 1.6684, + "step": 1406 + }, + { + "epoch": 7.04, + "learning_rate": 1.5438655462184875e-05, + "loss": 0.6062, + "step": 1407 + }, + { + "epoch": 7.04, + "learning_rate": 1.543529411764706e-05, + "loss": 0.7093, + "step": 1408 + }, + { + "epoch": 7.04, + "learning_rate": 1.5431932773109242e-05, + "loss": 0.6222, + "step": 1409 + }, + { + "epoch": 7.05, + "learning_rate": 1.542857142857143e-05, + "loss": 1.2477, + "step": 1410 + }, + { + "epoch": 7.05, + "learning_rate": 1.5425210084033614e-05, + "loss": 0.7918, + "step": 1411 + }, + { + "epoch": 7.06, + "learning_rate": 1.54218487394958e-05, + "loss": 1.1688, + "step": 1412 + }, + { + "epoch": 7.07, + "learning_rate": 1.5418487394957985e-05, + "loss": 0.6813, + "step": 1413 + }, + { + "epoch": 7.07, + "learning_rate": 1.5415126050420167e-05, + "loss": 0.5854, + "step": 1414 + }, + { + "epoch": 7.08, + "learning_rate": 1.5411764705882356e-05, + "loss": 1.0202, + "step": 1415 + }, + { + "epoch": 7.08, + "learning_rate": 1.5408403361344538e-05, + "loss": 0.7787, + "step": 1416 + }, + { + "epoch": 7.08, + "learning_rate": 1.5405042016806723e-05, + "loss": 1.925, + "step": 1417 + }, + { + "epoch": 7.09, + "learning_rate": 1.540168067226891e-05, + "loss": 1.4049, + "step": 1418 + }, + { + "epoch": 7.09, + "learning_rate": 1.5398319327731094e-05, + "loss": 1.0002, + "step": 1419 + }, + { + "epoch": 7.1, + "learning_rate": 1.539495798319328e-05, + "loss": 1.0288, + "step": 1420 + }, + { + "epoch": 7.11, + "learning_rate": 1.5391596638655465e-05, + "loss": 1.3749, + "step": 1421 + }, + { + "epoch": 7.11, + "learning_rate": 1.5388235294117648e-05, + "loss": 0.6654, + "step": 1422 + }, + { + "epoch": 7.12, + "learning_rate": 1.5384873949579833e-05, + "loss": 1.482, + "step": 1423 + }, + { + "epoch": 7.12, + "learning_rate": 1.538151260504202e-05, + "loss": 0.7565, + "step": 1424 + }, + { + "epoch": 7.12, + "learning_rate": 1.5378151260504204e-05, + "loss": 0.7104, + "step": 1425 + }, + { + "epoch": 7.13, + "learning_rate": 1.537478991596639e-05, + "loss": 0.6461, + "step": 1426 + }, + { + "epoch": 7.13, + "learning_rate": 1.5371428571428572e-05, + "loss": 0.8037, + "step": 1427 + }, + { + "epoch": 7.14, + "learning_rate": 1.5368067226890757e-05, + "loss": 1.3539, + "step": 1428 + }, + { + "epoch": 7.14, + "learning_rate": 1.5364705882352943e-05, + "loss": 1.3734, + "step": 1429 + }, + { + "epoch": 7.15, + "learning_rate": 1.536134453781513e-05, + "loss": 1.4765, + "step": 1430 + }, + { + "epoch": 7.16, + "learning_rate": 1.5357983193277314e-05, + "loss": 1.32, + "step": 1431 + }, + { + "epoch": 7.16, + "learning_rate": 1.5354621848739496e-05, + "loss": 1.4447, + "step": 1432 + }, + { + "epoch": 7.17, + "learning_rate": 1.535126050420168e-05, + "loss": 0.4188, + "step": 1433 + }, + { + "epoch": 7.17, + "learning_rate": 1.5347899159663867e-05, + "loss": 1.3309, + "step": 1434 + }, + { + "epoch": 7.17, + "learning_rate": 1.5344537815126053e-05, + "loss": 1.1832, + "step": 1435 + }, + { + "epoch": 7.18, + "learning_rate": 1.5341176470588238e-05, + "loss": 0.9489, + "step": 1436 + }, + { + "epoch": 7.18, + "learning_rate": 1.533781512605042e-05, + "loss": 0.5715, + "step": 1437 + }, + { + "epoch": 7.19, + "learning_rate": 1.5334453781512606e-05, + "loss": 0.9575, + "step": 1438 + }, + { + "epoch": 7.2, + "learning_rate": 1.533109243697479e-05, + "loss": 0.6604, + "step": 1439 + }, + { + "epoch": 7.2, + "learning_rate": 1.5327731092436977e-05, + "loss": 1.1321, + "step": 1440 + }, + { + "epoch": 7.21, + "learning_rate": 1.5324369747899163e-05, + "loss": 1.4243, + "step": 1441 + }, + { + "epoch": 7.21, + "learning_rate": 1.5321008403361345e-05, + "loss": 1.2477, + "step": 1442 + }, + { + "epoch": 7.21, + "learning_rate": 1.531764705882353e-05, + "loss": 1.2479, + "step": 1443 + }, + { + "epoch": 7.22, + "learning_rate": 1.5314285714285716e-05, + "loss": 1.9427, + "step": 1444 + }, + { + "epoch": 7.22, + "learning_rate": 1.5310924369747898e-05, + "loss": 0.9276, + "step": 1445 + }, + { + "epoch": 7.23, + "learning_rate": 1.5307563025210087e-05, + "loss": 0.7438, + "step": 1446 + }, + { + "epoch": 7.24, + "learning_rate": 1.530420168067227e-05, + "loss": 0.6455, + "step": 1447 + }, + { + "epoch": 7.24, + "learning_rate": 1.5300840336134455e-05, + "loss": 1.057, + "step": 1448 + }, + { + "epoch": 7.25, + "learning_rate": 1.529747899159664e-05, + "loss": 0.9945, + "step": 1449 + }, + { + "epoch": 7.25, + "learning_rate": 1.5294117647058822e-05, + "loss": 1.1677, + "step": 1450 + }, + { + "epoch": 7.25, + "learning_rate": 1.529075630252101e-05, + "loss": 1.823, + "step": 1451 + }, + { + "epoch": 7.26, + "learning_rate": 1.5287394957983193e-05, + "loss": 0.8682, + "step": 1452 + }, + { + "epoch": 7.26, + "learning_rate": 1.528403361344538e-05, + "loss": 0.5376, + "step": 1453 + }, + { + "epoch": 7.27, + "learning_rate": 1.5280672268907564e-05, + "loss": 0.5013, + "step": 1454 + }, + { + "epoch": 7.28, + "learning_rate": 1.527731092436975e-05, + "loss": 1.1236, + "step": 1455 + }, + { + "epoch": 7.28, + "learning_rate": 1.5273949579831935e-05, + "loss": 1.2492, + "step": 1456 + }, + { + "epoch": 7.29, + "learning_rate": 1.527058823529412e-05, + "loss": 1.1494, + "step": 1457 + }, + { + "epoch": 7.29, + "learning_rate": 1.5267226890756303e-05, + "loss": 0.8607, + "step": 1458 + }, + { + "epoch": 7.29, + "learning_rate": 1.526386554621849e-05, + "loss": 1.0502, + "step": 1459 + }, + { + "epoch": 7.3, + "learning_rate": 1.5260504201680674e-05, + "loss": 1.8733, + "step": 1460 + }, + { + "epoch": 7.3, + "learning_rate": 1.525714285714286e-05, + "loss": 1.6364, + "step": 1461 + }, + { + "epoch": 7.31, + "learning_rate": 1.5253781512605043e-05, + "loss": 0.8715, + "step": 1462 + }, + { + "epoch": 7.32, + "learning_rate": 1.5250420168067227e-05, + "loss": 0.8628, + "step": 1463 + }, + { + "epoch": 7.32, + "learning_rate": 1.5247058823529413e-05, + "loss": 1.3429, + "step": 1464 + }, + { + "epoch": 7.33, + "learning_rate": 1.5243697478991597e-05, + "loss": 0.6981, + "step": 1465 + }, + { + "epoch": 7.33, + "learning_rate": 1.5240336134453784e-05, + "loss": 0.3747, + "step": 1466 + }, + { + "epoch": 7.33, + "learning_rate": 1.5236974789915968e-05, + "loss": 0.9292, + "step": 1467 + }, + { + "epoch": 7.34, + "learning_rate": 1.5233613445378153e-05, + "loss": 1.2848, + "step": 1468 + }, + { + "epoch": 7.34, + "learning_rate": 1.5230252100840337e-05, + "loss": 2.1079, + "step": 1469 + }, + { + "epoch": 7.35, + "learning_rate": 1.5226890756302521e-05, + "loss": 0.6037, + "step": 1470 + }, + { + "epoch": 7.36, + "learning_rate": 1.5223529411764708e-05, + "loss": 1.2284, + "step": 1471 + }, + { + "epoch": 7.36, + "learning_rate": 1.5220168067226892e-05, + "loss": 1.659, + "step": 1472 + }, + { + "epoch": 7.37, + "learning_rate": 1.5216806722689078e-05, + "loss": 0.6686, + "step": 1473 + }, + { + "epoch": 7.37, + "learning_rate": 1.5213445378151261e-05, + "loss": 0.3813, + "step": 1474 + }, + { + "epoch": 7.38, + "learning_rate": 1.5210084033613445e-05, + "loss": 1.2718, + "step": 1475 + }, + { + "epoch": 7.38, + "learning_rate": 1.5206722689075632e-05, + "loss": 0.7158, + "step": 1476 + }, + { + "epoch": 7.38, + "learning_rate": 1.5203361344537816e-05, + "loss": 1.3745, + "step": 1477 + }, + { + "epoch": 7.39, + "learning_rate": 1.5200000000000002e-05, + "loss": 0.722, + "step": 1478 + }, + { + "epoch": 7.39, + "learning_rate": 1.5196638655462186e-05, + "loss": 1.0737, + "step": 1479 + }, + { + "epoch": 7.4, + "learning_rate": 1.519327731092437e-05, + "loss": 0.7174, + "step": 1480 + }, + { + "epoch": 7.41, + "learning_rate": 1.5189915966386557e-05, + "loss": 1.1772, + "step": 1481 + }, + { + "epoch": 7.41, + "learning_rate": 1.518655462184874e-05, + "loss": 0.8604, + "step": 1482 + }, + { + "epoch": 7.42, + "learning_rate": 1.5183193277310926e-05, + "loss": 0.7481, + "step": 1483 + }, + { + "epoch": 7.42, + "learning_rate": 1.517983193277311e-05, + "loss": 0.8351, + "step": 1484 + }, + { + "epoch": 7.42, + "learning_rate": 1.5176470588235295e-05, + "loss": 1.0584, + "step": 1485 + }, + { + "epoch": 7.43, + "learning_rate": 1.517310924369748e-05, + "loss": 1.0729, + "step": 1486 + }, + { + "epoch": 7.43, + "learning_rate": 1.5169747899159667e-05, + "loss": 1.4287, + "step": 1487 + }, + { + "epoch": 7.44, + "learning_rate": 1.516638655462185e-05, + "loss": 0.9114, + "step": 1488 + }, + { + "epoch": 7.45, + "learning_rate": 1.5163025210084034e-05, + "loss": 0.7772, + "step": 1489 + }, + { + "epoch": 7.45, + "learning_rate": 1.515966386554622e-05, + "loss": 1.0426, + "step": 1490 + }, + { + "epoch": 7.46, + "learning_rate": 1.5156302521008404e-05, + "loss": 0.8195, + "step": 1491 + }, + { + "epoch": 7.46, + "learning_rate": 1.515294117647059e-05, + "loss": 1.2614, + "step": 1492 + }, + { + "epoch": 7.46, + "learning_rate": 1.5149579831932775e-05, + "loss": 0.6616, + "step": 1493 + }, + { + "epoch": 7.47, + "learning_rate": 1.5146218487394959e-05, + "loss": 1.3556, + "step": 1494 + }, + { + "epoch": 7.47, + "learning_rate": 1.5142857142857144e-05, + "loss": 1.6073, + "step": 1495 + }, + { + "epoch": 7.48, + "learning_rate": 1.5139495798319328e-05, + "loss": 0.6588, + "step": 1496 + }, + { + "epoch": 7.49, + "learning_rate": 1.5136134453781515e-05, + "loss": 1.3329, + "step": 1497 + }, + { + "epoch": 7.49, + "learning_rate": 1.5132773109243699e-05, + "loss": 0.6317, + "step": 1498 + }, + { + "epoch": 7.5, + "learning_rate": 1.5129411764705883e-05, + "loss": 1.0024, + "step": 1499 + }, + { + "epoch": 7.5, + "learning_rate": 1.5126050420168068e-05, + "loss": 0.714, + "step": 1500 + }, + { + "epoch": 7.5, + "learning_rate": 1.5122689075630252e-05, + "loss": 0.9778, + "step": 1501 + }, + { + "epoch": 7.51, + "learning_rate": 1.511932773109244e-05, + "loss": 0.8618, + "step": 1502 + }, + { + "epoch": 7.51, + "learning_rate": 1.5115966386554623e-05, + "loss": 1.5296, + "step": 1503 + }, + { + "epoch": 7.52, + "learning_rate": 1.5112605042016809e-05, + "loss": 1.173, + "step": 1504 + }, + { + "epoch": 7.53, + "learning_rate": 1.5109243697478993e-05, + "loss": 1.9665, + "step": 1505 + }, + { + "epoch": 7.53, + "learning_rate": 1.5105882352941176e-05, + "loss": 0.7777, + "step": 1506 + }, + { + "epoch": 7.54, + "learning_rate": 1.5102521008403364e-05, + "loss": 1.3344, + "step": 1507 + }, + { + "epoch": 7.54, + "learning_rate": 1.5099159663865547e-05, + "loss": 1.5513, + "step": 1508 + }, + { + "epoch": 7.54, + "learning_rate": 1.5095798319327733e-05, + "loss": 1.389, + "step": 1509 + }, + { + "epoch": 7.55, + "learning_rate": 1.5092436974789917e-05, + "loss": 0.6542, + "step": 1510 + }, + { + "epoch": 7.55, + "learning_rate": 1.50890756302521e-05, + "loss": 0.5839, + "step": 1511 + }, + { + "epoch": 7.56, + "learning_rate": 1.5085714285714288e-05, + "loss": 0.8028, + "step": 1512 + }, + { + "epoch": 7.56, + "learning_rate": 1.5082352941176472e-05, + "loss": 1.42, + "step": 1513 + }, + { + "epoch": 7.57, + "learning_rate": 1.5078991596638657e-05, + "loss": 0.7796, + "step": 1514 + }, + { + "epoch": 7.58, + "learning_rate": 1.5075630252100841e-05, + "loss": 1.0718, + "step": 1515 + }, + { + "epoch": 7.58, + "learning_rate": 1.5072268907563025e-05, + "loss": 1.6874, + "step": 1516 + }, + { + "epoch": 7.58, + "learning_rate": 1.5068907563025212e-05, + "loss": 1.2862, + "step": 1517 + }, + { + "epoch": 7.59, + "learning_rate": 1.5065546218487396e-05, + "loss": 0.7159, + "step": 1518 + }, + { + "epoch": 7.59, + "learning_rate": 1.5062184873949582e-05, + "loss": 1.1433, + "step": 1519 + }, + { + "epoch": 7.6, + "learning_rate": 1.5058823529411765e-05, + "loss": 2.2546, + "step": 1520 + }, + { + "epoch": 7.61, + "learning_rate": 1.5055462184873951e-05, + "loss": 0.7849, + "step": 1521 + }, + { + "epoch": 7.61, + "learning_rate": 1.5052100840336135e-05, + "loss": 1.6881, + "step": 1522 + }, + { + "epoch": 7.62, + "learning_rate": 1.5048739495798322e-05, + "loss": 1.6997, + "step": 1523 + }, + { + "epoch": 7.62, + "learning_rate": 1.5045378151260506e-05, + "loss": 1.5923, + "step": 1524 + }, + { + "epoch": 7.62, + "learning_rate": 1.504201680672269e-05, + "loss": 1.1343, + "step": 1525 + }, + { + "epoch": 7.63, + "learning_rate": 1.5038655462184875e-05, + "loss": 1.0265, + "step": 1526 + }, + { + "epoch": 7.63, + "learning_rate": 1.5035294117647059e-05, + "loss": 1.0268, + "step": 1527 + }, + { + "epoch": 7.64, + "learning_rate": 1.5031932773109246e-05, + "loss": 1.7026, + "step": 1528 + }, + { + "epoch": 7.64, + "learning_rate": 1.502857142857143e-05, + "loss": 0.8074, + "step": 1529 + }, + { + "epoch": 7.65, + "learning_rate": 1.5025210084033614e-05, + "loss": 1.4333, + "step": 1530 + }, + { + "epoch": 7.66, + "learning_rate": 1.50218487394958e-05, + "loss": 0.7099, + "step": 1531 + }, + { + "epoch": 7.66, + "learning_rate": 1.5018487394957983e-05, + "loss": 0.6748, + "step": 1532 + }, + { + "epoch": 7.67, + "learning_rate": 1.501512605042017e-05, + "loss": 0.9061, + "step": 1533 + }, + { + "epoch": 7.67, + "learning_rate": 1.5011764705882354e-05, + "loss": 1.7068, + "step": 1534 + }, + { + "epoch": 7.67, + "learning_rate": 1.5008403361344538e-05, + "loss": 1.9202, + "step": 1535 + }, + { + "epoch": 7.68, + "learning_rate": 1.5005042016806724e-05, + "loss": 0.8185, + "step": 1536 + }, + { + "epoch": 7.69, + "learning_rate": 1.5001680672268908e-05, + "loss": 0.7976, + "step": 1537 + }, + { + "epoch": 7.69, + "learning_rate": 1.4998319327731095e-05, + "loss": 0.6494, + "step": 1538 + }, + { + "epoch": 7.7, + "learning_rate": 1.4994957983193279e-05, + "loss": 0.8484, + "step": 1539 + }, + { + "epoch": 7.7, + "learning_rate": 1.4991596638655464e-05, + "loss": 1.1545, + "step": 1540 + }, + { + "epoch": 7.71, + "learning_rate": 1.4988235294117648e-05, + "loss": 1.0824, + "step": 1541 + }, + { + "epoch": 7.71, + "learning_rate": 1.4984873949579832e-05, + "loss": 1.6059, + "step": 1542 + }, + { + "epoch": 7.71, + "learning_rate": 1.4981512605042019e-05, + "loss": 1.2448, + "step": 1543 + }, + { + "epoch": 7.72, + "learning_rate": 1.4978151260504203e-05, + "loss": 0.8344, + "step": 1544 + }, + { + "epoch": 7.72, + "learning_rate": 1.4974789915966388e-05, + "loss": 0.9333, + "step": 1545 + }, + { + "epoch": 7.73, + "learning_rate": 1.4971428571428572e-05, + "loss": 0.9792, + "step": 1546 + }, + { + "epoch": 7.74, + "learning_rate": 1.4968067226890756e-05, + "loss": 0.7241, + "step": 1547 + }, + { + "epoch": 7.74, + "learning_rate": 1.4964705882352943e-05, + "loss": 1.8229, + "step": 1548 + }, + { + "epoch": 7.75, + "learning_rate": 1.4961344537815127e-05, + "loss": 0.6893, + "step": 1549 + }, + { + "epoch": 7.75, + "learning_rate": 1.4957983193277313e-05, + "loss": 1.3359, + "step": 1550 + }, + { + "epoch": 7.75, + "learning_rate": 1.4954621848739497e-05, + "loss": 0.675, + "step": 1551 + }, + { + "epoch": 7.76, + "learning_rate": 1.495126050420168e-05, + "loss": 1.1225, + "step": 1552 + }, + { + "epoch": 7.76, + "learning_rate": 1.4947899159663868e-05, + "loss": 2.0682, + "step": 1553 + }, + { + "epoch": 7.77, + "learning_rate": 1.4944537815126052e-05, + "loss": 0.4779, + "step": 1554 + }, + { + "epoch": 7.78, + "learning_rate": 1.4941176470588237e-05, + "loss": 1.5353, + "step": 1555 + }, + { + "epoch": 7.78, + "learning_rate": 1.4937815126050421e-05, + "loss": 1.1656, + "step": 1556 + }, + { + "epoch": 7.79, + "learning_rate": 1.4934453781512606e-05, + "loss": 0.4079, + "step": 1557 + }, + { + "epoch": 7.79, + "learning_rate": 1.493109243697479e-05, + "loss": 2.0394, + "step": 1558 + }, + { + "epoch": 7.79, + "learning_rate": 1.4927731092436977e-05, + "loss": 0.6567, + "step": 1559 + }, + { + "epoch": 7.8, + "learning_rate": 1.4924369747899161e-05, + "loss": 1.1548, + "step": 1560 + }, + { + "epoch": 7.8, + "learning_rate": 1.4921008403361345e-05, + "loss": 0.9924, + "step": 1561 + }, + { + "epoch": 7.81, + "learning_rate": 1.491764705882353e-05, + "loss": 1.1372, + "step": 1562 + }, + { + "epoch": 7.81, + "learning_rate": 1.4914285714285715e-05, + "loss": 0.5937, + "step": 1563 + }, + { + "epoch": 7.82, + "learning_rate": 1.4910924369747902e-05, + "loss": 0.677, + "step": 1564 + }, + { + "epoch": 7.83, + "learning_rate": 1.4907563025210086e-05, + "loss": 1.5599, + "step": 1565 + }, + { + "epoch": 7.83, + "learning_rate": 1.490420168067227e-05, + "loss": 0.4099, + "step": 1566 + }, + { + "epoch": 7.83, + "learning_rate": 1.4900840336134455e-05, + "loss": 0.6074, + "step": 1567 + }, + { + "epoch": 7.84, + "learning_rate": 1.4897478991596639e-05, + "loss": 0.6313, + "step": 1568 + }, + { + "epoch": 7.84, + "learning_rate": 1.4894117647058826e-05, + "loss": 0.6526, + "step": 1569 + }, + { + "epoch": 7.85, + "learning_rate": 1.489075630252101e-05, + "loss": 1.0046, + "step": 1570 + }, + { + "epoch": 7.86, + "learning_rate": 1.4887394957983194e-05, + "loss": 1.9461, + "step": 1571 + }, + { + "epoch": 7.86, + "learning_rate": 1.488403361344538e-05, + "loss": 0.309, + "step": 1572 + }, + { + "epoch": 7.87, + "learning_rate": 1.4880672268907563e-05, + "loss": 0.6149, + "step": 1573 + }, + { + "epoch": 7.87, + "learning_rate": 1.487731092436975e-05, + "loss": 0.541, + "step": 1574 + }, + { + "epoch": 7.88, + "learning_rate": 1.4873949579831934e-05, + "loss": 0.5913, + "step": 1575 + }, + { + "epoch": 7.88, + "learning_rate": 1.487058823529412e-05, + "loss": 1.1517, + "step": 1576 + }, + { + "epoch": 7.88, + "learning_rate": 1.4867226890756304e-05, + "loss": 0.5999, + "step": 1577 + }, + { + "epoch": 7.89, + "learning_rate": 1.4863865546218487e-05, + "loss": 0.8406, + "step": 1578 + }, + { + "epoch": 7.89, + "learning_rate": 1.4860504201680675e-05, + "loss": 1.2547, + "step": 1579 + }, + { + "epoch": 7.9, + "learning_rate": 1.4857142857142858e-05, + "loss": 0.8532, + "step": 1580 + }, + { + "epoch": 7.91, + "learning_rate": 1.4853781512605044e-05, + "loss": 1.954, + "step": 1581 + }, + { + "epoch": 7.91, + "learning_rate": 1.4850420168067228e-05, + "loss": 1.0261, + "step": 1582 + }, + { + "epoch": 7.92, + "learning_rate": 1.4847058823529412e-05, + "loss": 0.6821, + "step": 1583 + }, + { + "epoch": 7.92, + "learning_rate": 1.4843697478991599e-05, + "loss": 0.4753, + "step": 1584 + }, + { + "epoch": 7.92, + "learning_rate": 1.4840336134453783e-05, + "loss": 0.6403, + "step": 1585 + }, + { + "epoch": 7.93, + "learning_rate": 1.4836974789915968e-05, + "loss": 0.7156, + "step": 1586 + }, + { + "epoch": 7.94, + "learning_rate": 1.4833613445378152e-05, + "loss": 1.3567, + "step": 1587 + }, + { + "epoch": 7.94, + "learning_rate": 1.4830252100840336e-05, + "loss": 1.4682, + "step": 1588 + }, + { + "epoch": 7.95, + "learning_rate": 1.4826890756302523e-05, + "loss": 0.9026, + "step": 1589 + }, + { + "epoch": 7.95, + "learning_rate": 1.4823529411764707e-05, + "loss": 0.868, + "step": 1590 + }, + { + "epoch": 7.96, + "learning_rate": 1.4820168067226892e-05, + "loss": 1.55, + "step": 1591 + }, + { + "epoch": 7.96, + "learning_rate": 1.4816806722689076e-05, + "loss": 1.1077, + "step": 1592 + }, + { + "epoch": 7.96, + "learning_rate": 1.4813445378151262e-05, + "loss": 0.8465, + "step": 1593 + }, + { + "epoch": 7.97, + "learning_rate": 1.4810084033613446e-05, + "loss": 0.6023, + "step": 1594 + }, + { + "epoch": 7.97, + "learning_rate": 1.4806722689075633e-05, + "loss": 1.0765, + "step": 1595 + }, + { + "epoch": 7.98, + "learning_rate": 1.4803361344537817e-05, + "loss": 0.9245, + "step": 1596 + }, + { + "epoch": 7.99, + "learning_rate": 1.48e-05, + "loss": 0.6692, + "step": 1597 + }, + { + "epoch": 7.99, + "learning_rate": 1.4796638655462186e-05, + "loss": 1.4173, + "step": 1598 + }, + { + "epoch": 8.0, + "learning_rate": 1.479327731092437e-05, + "loss": 0.8723, + "step": 1599 + }, + { + "epoch": 8.0, + "learning_rate": 1.4789915966386557e-05, + "loss": 1.8004, + "step": 1600 + }, + { + "epoch": 8.0, + "eval_accuracy": 0.655, + "eval_loss": 1.1077296733856201, + "eval_roc_auc": 0.9334846684393258, + "eval_runtime": 59.1458, + "eval_samples_per_second": 3.381, + "eval_steps_per_second": 0.845, + "step": 1600 + }, + { + "epoch": 8.01, + "learning_rate": 1.4786554621848741e-05, + "loss": 1.3227, + "step": 1601 + }, + { + "epoch": 8.01, + "learning_rate": 1.4783193277310925e-05, + "loss": 1.2565, + "step": 1602 + }, + { + "epoch": 8.02, + "learning_rate": 1.477983193277311e-05, + "loss": 1.0539, + "step": 1603 + }, + { + "epoch": 8.02, + "learning_rate": 1.4776470588235294e-05, + "loss": 0.6512, + "step": 1604 + }, + { + "epoch": 8.03, + "learning_rate": 1.4773109243697481e-05, + "loss": 0.8835, + "step": 1605 + }, + { + "epoch": 8.03, + "learning_rate": 1.4769747899159665e-05, + "loss": 0.7323, + "step": 1606 + }, + { + "epoch": 8.04, + "learning_rate": 1.4766386554621849e-05, + "loss": 0.5326, + "step": 1607 + }, + { + "epoch": 8.04, + "learning_rate": 1.4763025210084035e-05, + "loss": 1.2016, + "step": 1608 + }, + { + "epoch": 8.04, + "learning_rate": 1.4759663865546219e-05, + "loss": 1.0237, + "step": 1609 + }, + { + "epoch": 8.05, + "learning_rate": 1.4756302521008406e-05, + "loss": 1.7272, + "step": 1610 + }, + { + "epoch": 8.05, + "learning_rate": 1.475294117647059e-05, + "loss": 0.6801, + "step": 1611 + }, + { + "epoch": 8.06, + "learning_rate": 1.4749579831932775e-05, + "loss": 0.5172, + "step": 1612 + }, + { + "epoch": 8.06, + "learning_rate": 1.4746218487394959e-05, + "loss": 0.3736, + "step": 1613 + }, + { + "epoch": 8.07, + "learning_rate": 1.4742857142857143e-05, + "loss": 0.8684, + "step": 1614 + }, + { + "epoch": 8.07, + "learning_rate": 1.473949579831933e-05, + "loss": 0.8414, + "step": 1615 + }, + { + "epoch": 8.08, + "learning_rate": 1.4736134453781514e-05, + "loss": 1.0719, + "step": 1616 + }, + { + "epoch": 8.09, + "learning_rate": 1.47327731092437e-05, + "loss": 0.5617, + "step": 1617 + }, + { + "epoch": 8.09, + "learning_rate": 1.4729411764705883e-05, + "loss": 0.535, + "step": 1618 + }, + { + "epoch": 8.1, + "learning_rate": 1.4726050420168067e-05, + "loss": 0.6107, + "step": 1619 + }, + { + "epoch": 8.1, + "learning_rate": 1.4722689075630254e-05, + "loss": 1.411, + "step": 1620 + }, + { + "epoch": 8.11, + "learning_rate": 1.4719327731092438e-05, + "loss": 0.3243, + "step": 1621 + }, + { + "epoch": 8.11, + "learning_rate": 1.4715966386554624e-05, + "loss": 1.0489, + "step": 1622 + }, + { + "epoch": 8.12, + "learning_rate": 1.4712605042016808e-05, + "loss": 1.1944, + "step": 1623 + }, + { + "epoch": 8.12, + "learning_rate": 1.4709243697478991e-05, + "loss": 0.7372, + "step": 1624 + }, + { + "epoch": 8.12, + "learning_rate": 1.4705882352941179e-05, + "loss": 0.7433, + "step": 1625 + }, + { + "epoch": 8.13, + "learning_rate": 1.4702521008403362e-05, + "loss": 1.0903, + "step": 1626 + }, + { + "epoch": 8.13, + "learning_rate": 1.4699159663865548e-05, + "loss": 0.9938, + "step": 1627 + }, + { + "epoch": 8.14, + "learning_rate": 1.4695798319327732e-05, + "loss": 0.58, + "step": 1628 + }, + { + "epoch": 8.14, + "learning_rate": 1.4692436974789917e-05, + "loss": 1.0475, + "step": 1629 + }, + { + "epoch": 8.15, + "learning_rate": 1.4689075630252103e-05, + "loss": 0.3174, + "step": 1630 + }, + { + "epoch": 8.15, + "learning_rate": 1.4685714285714288e-05, + "loss": 1.2624, + "step": 1631 + }, + { + "epoch": 8.16, + "learning_rate": 1.4682352941176472e-05, + "loss": 0.6766, + "step": 1632 + }, + { + "epoch": 8.16, + "learning_rate": 1.4678991596638656e-05, + "loss": 1.0936, + "step": 1633 + }, + { + "epoch": 8.17, + "learning_rate": 1.4675630252100842e-05, + "loss": 0.7489, + "step": 1634 + }, + { + "epoch": 8.18, + "learning_rate": 1.4672268907563025e-05, + "loss": 0.8465, + "step": 1635 + }, + { + "epoch": 8.18, + "learning_rate": 1.4668907563025213e-05, + "loss": 0.5616, + "step": 1636 + }, + { + "epoch": 8.19, + "learning_rate": 1.4665546218487396e-05, + "loss": 0.7852, + "step": 1637 + }, + { + "epoch": 8.19, + "learning_rate": 1.466218487394958e-05, + "loss": 0.8458, + "step": 1638 + }, + { + "epoch": 8.2, + "learning_rate": 1.4658823529411766e-05, + "loss": 1.0788, + "step": 1639 + }, + { + "epoch": 8.2, + "learning_rate": 1.465546218487395e-05, + "loss": 1.6168, + "step": 1640 + }, + { + "epoch": 8.21, + "learning_rate": 1.4652100840336137e-05, + "loss": 0.5897, + "step": 1641 + }, + { + "epoch": 8.21, + "learning_rate": 1.464873949579832e-05, + "loss": 0.9075, + "step": 1642 + }, + { + "epoch": 8.21, + "learning_rate": 1.4645378151260505e-05, + "loss": 0.8912, + "step": 1643 + }, + { + "epoch": 8.22, + "learning_rate": 1.464201680672269e-05, + "loss": 0.7966, + "step": 1644 + }, + { + "epoch": 8.22, + "learning_rate": 1.4638655462184874e-05, + "loss": 0.3553, + "step": 1645 + }, + { + "epoch": 8.23, + "learning_rate": 1.4635294117647061e-05, + "loss": 1.1278, + "step": 1646 + }, + { + "epoch": 8.23, + "learning_rate": 1.4631932773109245e-05, + "loss": 1.4593, + "step": 1647 + }, + { + "epoch": 8.24, + "learning_rate": 1.462857142857143e-05, + "loss": 1.3401, + "step": 1648 + }, + { + "epoch": 8.24, + "learning_rate": 1.4625210084033614e-05, + "loss": 1.6892, + "step": 1649 + }, + { + "epoch": 8.25, + "learning_rate": 1.4621848739495798e-05, + "loss": 1.408, + "step": 1650 + }, + { + "epoch": 8.26, + "learning_rate": 1.4618487394957985e-05, + "loss": 1.1755, + "step": 1651 + }, + { + "epoch": 8.26, + "learning_rate": 1.461512605042017e-05, + "loss": 0.894, + "step": 1652 + }, + { + "epoch": 8.27, + "learning_rate": 1.4611764705882355e-05, + "loss": 0.57, + "step": 1653 + }, + { + "epoch": 8.27, + "learning_rate": 1.4608403361344539e-05, + "loss": 1.4704, + "step": 1654 + }, + { + "epoch": 8.28, + "learning_rate": 1.4605042016806723e-05, + "loss": 1.0334, + "step": 1655 + }, + { + "epoch": 8.28, + "learning_rate": 1.460168067226891e-05, + "loss": 0.676, + "step": 1656 + }, + { + "epoch": 8.29, + "learning_rate": 1.4598319327731094e-05, + "loss": 0.4015, + "step": 1657 + }, + { + "epoch": 8.29, + "learning_rate": 1.4594957983193279e-05, + "loss": 0.7024, + "step": 1658 + }, + { + "epoch": 8.29, + "learning_rate": 1.4591596638655463e-05, + "loss": 0.8924, + "step": 1659 + }, + { + "epoch": 8.3, + "learning_rate": 1.4588235294117647e-05, + "loss": 1.1642, + "step": 1660 + }, + { + "epoch": 8.3, + "learning_rate": 1.4584873949579834e-05, + "loss": 0.902, + "step": 1661 + }, + { + "epoch": 8.31, + "learning_rate": 1.4581512605042018e-05, + "loss": 0.6185, + "step": 1662 + }, + { + "epoch": 8.31, + "learning_rate": 1.4578151260504203e-05, + "loss": 0.9651, + "step": 1663 + }, + { + "epoch": 8.32, + "learning_rate": 1.4574789915966387e-05, + "loss": 0.4832, + "step": 1664 + }, + { + "epoch": 8.32, + "learning_rate": 1.4571428571428573e-05, + "loss": 0.7223, + "step": 1665 + }, + { + "epoch": 8.33, + "learning_rate": 1.4568067226890758e-05, + "loss": 1.0392, + "step": 1666 + }, + { + "epoch": 8.34, + "learning_rate": 1.4564705882352944e-05, + "loss": 0.5171, + "step": 1667 + }, + { + "epoch": 8.34, + "learning_rate": 1.4561344537815128e-05, + "loss": 0.475, + "step": 1668 + }, + { + "epoch": 8.35, + "learning_rate": 1.4557983193277312e-05, + "loss": 0.6432, + "step": 1669 + }, + { + "epoch": 8.35, + "learning_rate": 1.4554621848739497e-05, + "loss": 1.3183, + "step": 1670 + }, + { + "epoch": 8.36, + "learning_rate": 1.4551260504201681e-05, + "loss": 1.1825, + "step": 1671 + }, + { + "epoch": 8.36, + "learning_rate": 1.4547899159663868e-05, + "loss": 1.0697, + "step": 1672 + }, + { + "epoch": 8.37, + "learning_rate": 1.4544537815126052e-05, + "loss": 0.2915, + "step": 1673 + }, + { + "epoch": 8.37, + "learning_rate": 1.4541176470588236e-05, + "loss": 1.7506, + "step": 1674 + }, + { + "epoch": 8.38, + "learning_rate": 1.4537815126050421e-05, + "loss": 1.0276, + "step": 1675 + }, + { + "epoch": 8.38, + "learning_rate": 1.4534453781512605e-05, + "loss": 0.5772, + "step": 1676 + }, + { + "epoch": 8.38, + "learning_rate": 1.4531092436974792e-05, + "loss": 0.9349, + "step": 1677 + }, + { + "epoch": 8.39, + "learning_rate": 1.4527731092436976e-05, + "loss": 0.779, + "step": 1678 + }, + { + "epoch": 8.39, + "learning_rate": 1.452436974789916e-05, + "loss": 0.387, + "step": 1679 + }, + { + "epoch": 8.4, + "learning_rate": 1.4521008403361346e-05, + "loss": 1.043, + "step": 1680 + }, + { + "epoch": 8.4, + "learning_rate": 1.451764705882353e-05, + "loss": 0.3938, + "step": 1681 + }, + { + "epoch": 8.41, + "learning_rate": 1.4514285714285717e-05, + "loss": 0.5663, + "step": 1682 + }, + { + "epoch": 8.41, + "learning_rate": 1.45109243697479e-05, + "loss": 0.7522, + "step": 1683 + }, + { + "epoch": 8.42, + "learning_rate": 1.4507563025210086e-05, + "loss": 1.0176, + "step": 1684 + }, + { + "epoch": 8.43, + "learning_rate": 1.450420168067227e-05, + "loss": 1.4981, + "step": 1685 + }, + { + "epoch": 8.43, + "learning_rate": 1.4500840336134454e-05, + "loss": 0.4177, + "step": 1686 + }, + { + "epoch": 8.44, + "learning_rate": 1.4497478991596641e-05, + "loss": 1.029, + "step": 1687 + }, + { + "epoch": 8.44, + "learning_rate": 1.4494117647058825e-05, + "loss": 0.4861, + "step": 1688 + }, + { + "epoch": 8.45, + "learning_rate": 1.449075630252101e-05, + "loss": 1.2556, + "step": 1689 + }, + { + "epoch": 8.45, + "learning_rate": 1.4487394957983194e-05, + "loss": 1.1248, + "step": 1690 + }, + { + "epoch": 8.46, + "learning_rate": 1.4484033613445378e-05, + "loss": 0.3763, + "step": 1691 + }, + { + "epoch": 8.46, + "learning_rate": 1.4480672268907565e-05, + "loss": 0.8767, + "step": 1692 + }, + { + "epoch": 8.46, + "learning_rate": 1.4477310924369749e-05, + "loss": 0.9687, + "step": 1693 + }, + { + "epoch": 8.47, + "learning_rate": 1.4473949579831935e-05, + "loss": 0.7559, + "step": 1694 + }, + { + "epoch": 8.47, + "learning_rate": 1.4470588235294118e-05, + "loss": 1.3198, + "step": 1695 + }, + { + "epoch": 8.48, + "learning_rate": 1.4467226890756302e-05, + "loss": 0.7786, + "step": 1696 + }, + { + "epoch": 8.48, + "learning_rate": 1.446386554621849e-05, + "loss": 0.6595, + "step": 1697 + }, + { + "epoch": 8.49, + "learning_rate": 1.4460504201680673e-05, + "loss": 0.5807, + "step": 1698 + }, + { + "epoch": 8.49, + "learning_rate": 1.4457142857142859e-05, + "loss": 0.8009, + "step": 1699 + }, + { + "epoch": 8.5, + "learning_rate": 1.4453781512605043e-05, + "loss": 0.4203, + "step": 1700 + }, + { + "epoch": 8.51, + "learning_rate": 1.4450420168067227e-05, + "loss": 0.8088, + "step": 1701 + }, + { + "epoch": 8.51, + "learning_rate": 1.4447058823529414e-05, + "loss": 0.9794, + "step": 1702 + }, + { + "epoch": 8.52, + "learning_rate": 1.44436974789916e-05, + "loss": 0.2676, + "step": 1703 + }, + { + "epoch": 8.52, + "learning_rate": 1.4440336134453783e-05, + "loss": 1.2129, + "step": 1704 + }, + { + "epoch": 8.53, + "learning_rate": 1.4436974789915967e-05, + "loss": 0.2047, + "step": 1705 + }, + { + "epoch": 8.53, + "learning_rate": 1.4433613445378152e-05, + "loss": 0.8308, + "step": 1706 + }, + { + "epoch": 8.54, + "learning_rate": 1.4430252100840336e-05, + "loss": 1.3127, + "step": 1707 + }, + { + "epoch": 8.54, + "learning_rate": 1.4426890756302524e-05, + "loss": 1.4455, + "step": 1708 + }, + { + "epoch": 8.54, + "learning_rate": 1.4423529411764707e-05, + "loss": 1.3093, + "step": 1709 + }, + { + "epoch": 8.55, + "learning_rate": 1.4420168067226891e-05, + "loss": 1.4822, + "step": 1710 + }, + { + "epoch": 8.55, + "learning_rate": 1.4416806722689077e-05, + "loss": 0.7701, + "step": 1711 + }, + { + "epoch": 8.56, + "learning_rate": 1.441344537815126e-05, + "loss": 0.6898, + "step": 1712 + }, + { + "epoch": 8.56, + "learning_rate": 1.4410084033613448e-05, + "loss": 0.5602, + "step": 1713 + }, + { + "epoch": 8.57, + "learning_rate": 1.4406722689075632e-05, + "loss": 1.3756, + "step": 1714 + }, + { + "epoch": 8.57, + "learning_rate": 1.4403361344537816e-05, + "loss": 1.7014, + "step": 1715 + }, + { + "epoch": 8.58, + "learning_rate": 1.4400000000000001e-05, + "loss": 1.5022, + "step": 1716 + }, + { + "epoch": 8.59, + "learning_rate": 1.4396638655462185e-05, + "loss": 1.0362, + "step": 1717 + }, + { + "epoch": 8.59, + "learning_rate": 1.4393277310924372e-05, + "loss": 1.2048, + "step": 1718 + }, + { + "epoch": 8.6, + "learning_rate": 1.4389915966386556e-05, + "loss": 0.6296, + "step": 1719 + }, + { + "epoch": 8.6, + "learning_rate": 1.4386554621848741e-05, + "loss": 0.8899, + "step": 1720 + }, + { + "epoch": 8.61, + "learning_rate": 1.4383193277310925e-05, + "loss": 1.3159, + "step": 1721 + }, + { + "epoch": 8.61, + "learning_rate": 1.437983193277311e-05, + "loss": 0.9851, + "step": 1722 + }, + { + "epoch": 8.62, + "learning_rate": 1.4376470588235296e-05, + "loss": 0.6884, + "step": 1723 + }, + { + "epoch": 8.62, + "learning_rate": 1.437310924369748e-05, + "loss": 1.572, + "step": 1724 + }, + { + "epoch": 8.62, + "learning_rate": 1.4369747899159666e-05, + "loss": 1.2492, + "step": 1725 + }, + { + "epoch": 8.63, + "learning_rate": 1.436638655462185e-05, + "loss": 0.5907, + "step": 1726 + }, + { + "epoch": 8.63, + "learning_rate": 1.4363025210084033e-05, + "loss": 0.3754, + "step": 1727 + }, + { + "epoch": 8.64, + "learning_rate": 1.435966386554622e-05, + "loss": 0.7036, + "step": 1728 + }, + { + "epoch": 8.64, + "learning_rate": 1.4356302521008404e-05, + "loss": 0.7902, + "step": 1729 + }, + { + "epoch": 8.65, + "learning_rate": 1.435294117647059e-05, + "loss": 1.0025, + "step": 1730 + }, + { + "epoch": 8.65, + "learning_rate": 1.4349579831932774e-05, + "loss": 1.5309, + "step": 1731 + }, + { + "epoch": 8.66, + "learning_rate": 1.4346218487394958e-05, + "loss": 0.5275, + "step": 1732 + }, + { + "epoch": 8.66, + "learning_rate": 1.4342857142857145e-05, + "loss": 0.5161, + "step": 1733 + }, + { + "epoch": 8.67, + "learning_rate": 1.4339495798319329e-05, + "loss": 1.4865, + "step": 1734 + }, + { + "epoch": 8.68, + "learning_rate": 1.4336134453781514e-05, + "loss": 1.1463, + "step": 1735 + }, + { + "epoch": 8.68, + "learning_rate": 1.4332773109243698e-05, + "loss": 0.4781, + "step": 1736 + }, + { + "epoch": 8.69, + "learning_rate": 1.4329411764705882e-05, + "loss": 0.5037, + "step": 1737 + }, + { + "epoch": 8.69, + "learning_rate": 1.432605042016807e-05, + "loss": 0.9711, + "step": 1738 + }, + { + "epoch": 8.7, + "learning_rate": 1.4322689075630255e-05, + "loss": 1.0843, + "step": 1739 + }, + { + "epoch": 8.7, + "learning_rate": 1.4319327731092439e-05, + "loss": 1.183, + "step": 1740 + }, + { + "epoch": 8.71, + "learning_rate": 1.4315966386554622e-05, + "loss": 1.2712, + "step": 1741 + }, + { + "epoch": 8.71, + "learning_rate": 1.4312605042016808e-05, + "loss": 0.605, + "step": 1742 + }, + { + "epoch": 8.71, + "learning_rate": 1.4309243697478992e-05, + "loss": 0.7313, + "step": 1743 + }, + { + "epoch": 8.72, + "learning_rate": 1.4305882352941179e-05, + "loss": 0.3128, + "step": 1744 + }, + { + "epoch": 8.72, + "learning_rate": 1.4302521008403363e-05, + "loss": 0.7036, + "step": 1745 + }, + { + "epoch": 8.73, + "learning_rate": 1.4299159663865547e-05, + "loss": 0.6533, + "step": 1746 + }, + { + "epoch": 8.73, + "learning_rate": 1.4295798319327732e-05, + "loss": 0.4364, + "step": 1747 + }, + { + "epoch": 8.74, + "learning_rate": 1.4292436974789916e-05, + "loss": 0.758, + "step": 1748 + }, + { + "epoch": 8.74, + "learning_rate": 1.4289075630252103e-05, + "loss": 0.7849, + "step": 1749 + }, + { + "epoch": 8.75, + "learning_rate": 1.4285714285714287e-05, + "loss": 0.3717, + "step": 1750 + }, + { + "epoch": 8.76, + "learning_rate": 1.4282352941176471e-05, + "loss": 0.7528, + "step": 1751 + }, + { + "epoch": 8.76, + "learning_rate": 1.4278991596638656e-05, + "loss": 0.7807, + "step": 1752 + }, + { + "epoch": 8.77, + "learning_rate": 1.427563025210084e-05, + "loss": 0.7252, + "step": 1753 + }, + { + "epoch": 8.77, + "learning_rate": 1.4272268907563028e-05, + "loss": 1.1554, + "step": 1754 + }, + { + "epoch": 8.78, + "learning_rate": 1.4268907563025211e-05, + "loss": 0.9589, + "step": 1755 + }, + { + "epoch": 8.78, + "learning_rate": 1.4265546218487395e-05, + "loss": 0.347, + "step": 1756 + }, + { + "epoch": 8.79, + "learning_rate": 1.426218487394958e-05, + "loss": 0.709, + "step": 1757 + }, + { + "epoch": 8.79, + "learning_rate": 1.4258823529411765e-05, + "loss": 0.2903, + "step": 1758 + }, + { + "epoch": 8.79, + "learning_rate": 1.4255462184873952e-05, + "loss": 1.4011, + "step": 1759 + }, + { + "epoch": 8.8, + "learning_rate": 1.4252100840336136e-05, + "loss": 0.8646, + "step": 1760 + }, + { + "epoch": 8.8, + "learning_rate": 1.4248739495798321e-05, + "loss": 0.5274, + "step": 1761 + }, + { + "epoch": 8.81, + "learning_rate": 1.4245378151260505e-05, + "loss": 0.7012, + "step": 1762 + }, + { + "epoch": 8.81, + "learning_rate": 1.4242016806722689e-05, + "loss": 0.8322, + "step": 1763 + }, + { + "epoch": 8.82, + "learning_rate": 1.4238655462184876e-05, + "loss": 0.6099, + "step": 1764 + }, + { + "epoch": 8.82, + "learning_rate": 1.423529411764706e-05, + "loss": 0.4906, + "step": 1765 + }, + { + "epoch": 8.83, + "learning_rate": 1.4231932773109245e-05, + "loss": 0.8096, + "step": 1766 + }, + { + "epoch": 8.84, + "learning_rate": 1.422857142857143e-05, + "loss": 0.8011, + "step": 1767 + }, + { + "epoch": 8.84, + "learning_rate": 1.4225210084033613e-05, + "loss": 1.0104, + "step": 1768 + }, + { + "epoch": 8.85, + "learning_rate": 1.42218487394958e-05, + "loss": 0.3789, + "step": 1769 + }, + { + "epoch": 8.85, + "learning_rate": 1.4218487394957984e-05, + "loss": 0.8701, + "step": 1770 + }, + { + "epoch": 8.86, + "learning_rate": 1.421512605042017e-05, + "loss": 0.6153, + "step": 1771 + }, + { + "epoch": 8.86, + "learning_rate": 1.4211764705882354e-05, + "loss": 1.2656, + "step": 1772 + }, + { + "epoch": 8.87, + "learning_rate": 1.4208403361344537e-05, + "loss": 1.0626, + "step": 1773 + }, + { + "epoch": 8.87, + "learning_rate": 1.4205042016806725e-05, + "loss": 1.5688, + "step": 1774 + }, + { + "epoch": 8.88, + "learning_rate": 1.4201680672268908e-05, + "loss": 1.3395, + "step": 1775 + }, + { + "epoch": 8.88, + "learning_rate": 1.4198319327731094e-05, + "loss": 1.5406, + "step": 1776 + }, + { + "epoch": 8.88, + "learning_rate": 1.4194957983193278e-05, + "loss": 1.1446, + "step": 1777 + }, + { + "epoch": 8.89, + "learning_rate": 1.4191596638655463e-05, + "loss": 1.1535, + "step": 1778 + }, + { + "epoch": 8.89, + "learning_rate": 1.4188235294117649e-05, + "loss": 0.6898, + "step": 1779 + }, + { + "epoch": 8.9, + "learning_rate": 1.4184873949579834e-05, + "loss": 1.0415, + "step": 1780 + }, + { + "epoch": 8.9, + "learning_rate": 1.4181512605042018e-05, + "loss": 1.4356, + "step": 1781 + }, + { + "epoch": 8.91, + "learning_rate": 1.4178151260504202e-05, + "loss": 0.6927, + "step": 1782 + }, + { + "epoch": 8.91, + "learning_rate": 1.4174789915966388e-05, + "loss": 1.7535, + "step": 1783 + }, + { + "epoch": 8.92, + "learning_rate": 1.4171428571428572e-05, + "loss": 1.8313, + "step": 1784 + }, + { + "epoch": 8.93, + "learning_rate": 1.4168067226890759e-05, + "loss": 1.5541, + "step": 1785 + }, + { + "epoch": 8.93, + "learning_rate": 1.4164705882352943e-05, + "loss": 0.5287, + "step": 1786 + }, + { + "epoch": 8.94, + "learning_rate": 1.4161344537815126e-05, + "loss": 0.5805, + "step": 1787 + }, + { + "epoch": 8.94, + "learning_rate": 1.4157983193277312e-05, + "loss": 0.8268, + "step": 1788 + }, + { + "epoch": 8.95, + "learning_rate": 1.4154621848739496e-05, + "loss": 0.6231, + "step": 1789 + }, + { + "epoch": 8.95, + "learning_rate": 1.4151260504201683e-05, + "loss": 1.2222, + "step": 1790 + }, + { + "epoch": 8.96, + "learning_rate": 1.4147899159663867e-05, + "loss": 0.9636, + "step": 1791 + }, + { + "epoch": 8.96, + "learning_rate": 1.414453781512605e-05, + "loss": 0.6009, + "step": 1792 + }, + { + "epoch": 8.96, + "learning_rate": 1.4141176470588236e-05, + "loss": 0.4902, + "step": 1793 + }, + { + "epoch": 8.97, + "learning_rate": 1.413781512605042e-05, + "loss": 0.3282, + "step": 1794 + }, + { + "epoch": 8.97, + "learning_rate": 1.4134453781512607e-05, + "loss": 1.1927, + "step": 1795 + }, + { + "epoch": 8.98, + "learning_rate": 1.4131092436974791e-05, + "loss": 0.2969, + "step": 1796 + }, + { + "epoch": 8.98, + "learning_rate": 1.4127731092436977e-05, + "loss": 0.6189, + "step": 1797 + }, + { + "epoch": 8.99, + "learning_rate": 1.412436974789916e-05, + "loss": 2.1254, + "step": 1798 + }, + { + "epoch": 8.99, + "learning_rate": 1.4121008403361344e-05, + "loss": 0.9634, + "step": 1799 + }, + { + "epoch": 9.0, + "learning_rate": 1.4117647058823532e-05, + "loss": 1.2319, + "step": 1800 + }, + { + "epoch": 9.0, + "eval_accuracy": 0.7, + "eval_loss": 1.0883833169937134, + "eval_roc_auc": 0.928812285480093, + "eval_runtime": 59.2639, + "eval_samples_per_second": 3.375, + "eval_steps_per_second": 0.844, + "step": 1800 + }, + { + "epoch": 9.01, + "learning_rate": 1.4114285714285715e-05, + "loss": 0.8049, + "step": 1801 + }, + { + "epoch": 9.01, + "learning_rate": 1.4110924369747901e-05, + "loss": 1.9281, + "step": 1802 + }, + { + "epoch": 9.02, + "learning_rate": 1.4107563025210085e-05, + "loss": 0.6166, + "step": 1803 + }, + { + "epoch": 9.02, + "learning_rate": 1.4104201680672269e-05, + "loss": 0.7113, + "step": 1804 + }, + { + "epoch": 9.03, + "learning_rate": 1.4100840336134456e-05, + "loss": 1.1722, + "step": 1805 + }, + { + "epoch": 9.03, + "learning_rate": 1.409747899159664e-05, + "loss": 1.5749, + "step": 1806 + }, + { + "epoch": 9.04, + "learning_rate": 1.4094117647058825e-05, + "loss": 0.6481, + "step": 1807 + }, + { + "epoch": 9.04, + "learning_rate": 1.4090756302521009e-05, + "loss": 0.7185, + "step": 1808 + }, + { + "epoch": 9.04, + "learning_rate": 1.4087394957983193e-05, + "loss": 0.3957, + "step": 1809 + }, + { + "epoch": 9.05, + "learning_rate": 1.408403361344538e-05, + "loss": 0.551, + "step": 1810 + }, + { + "epoch": 9.05, + "learning_rate": 1.4080672268907564e-05, + "loss": 0.8465, + "step": 1811 + }, + { + "epoch": 9.06, + "learning_rate": 1.407731092436975e-05, + "loss": 1.1289, + "step": 1812 + }, + { + "epoch": 9.06, + "learning_rate": 1.4073949579831933e-05, + "loss": 0.5191, + "step": 1813 + }, + { + "epoch": 9.07, + "learning_rate": 1.4070588235294119e-05, + "loss": 0.5122, + "step": 1814 + }, + { + "epoch": 9.07, + "learning_rate": 1.4067226890756304e-05, + "loss": 0.8182, + "step": 1815 + }, + { + "epoch": 9.08, + "learning_rate": 1.406386554621849e-05, + "loss": 0.6971, + "step": 1816 + }, + { + "epoch": 9.09, + "learning_rate": 1.4060504201680674e-05, + "loss": 1.2297, + "step": 1817 + }, + { + "epoch": 9.09, + "learning_rate": 1.4057142857142858e-05, + "loss": 0.4323, + "step": 1818 + }, + { + "epoch": 9.1, + "learning_rate": 1.4053781512605043e-05, + "loss": 0.6749, + "step": 1819 + }, + { + "epoch": 9.1, + "learning_rate": 1.4050420168067227e-05, + "loss": 0.7037, + "step": 1820 + }, + { + "epoch": 9.11, + "learning_rate": 1.4047058823529414e-05, + "loss": 1.0001, + "step": 1821 + }, + { + "epoch": 9.11, + "learning_rate": 1.4043697478991598e-05, + "loss": 0.4881, + "step": 1822 + }, + { + "epoch": 9.12, + "learning_rate": 1.4040336134453782e-05, + "loss": 0.331, + "step": 1823 + }, + { + "epoch": 9.12, + "learning_rate": 1.4036974789915967e-05, + "loss": 0.7208, + "step": 1824 + }, + { + "epoch": 9.12, + "learning_rate": 1.4033613445378151e-05, + "loss": 2.1784, + "step": 1825 + }, + { + "epoch": 9.13, + "learning_rate": 1.4030252100840338e-05, + "loss": 1.0341, + "step": 1826 + }, + { + "epoch": 9.13, + "learning_rate": 1.4026890756302522e-05, + "loss": 0.5129, + "step": 1827 + }, + { + "epoch": 9.14, + "learning_rate": 1.4023529411764706e-05, + "loss": 0.4477, + "step": 1828 + }, + { + "epoch": 9.14, + "learning_rate": 1.4020168067226892e-05, + "loss": 1.0207, + "step": 1829 + }, + { + "epoch": 9.15, + "learning_rate": 1.4016806722689076e-05, + "loss": 0.6727, + "step": 1830 + }, + { + "epoch": 9.15, + "learning_rate": 1.4013445378151263e-05, + "loss": 1.1616, + "step": 1831 + }, + { + "epoch": 9.16, + "learning_rate": 1.4010084033613447e-05, + "loss": 0.8067, + "step": 1832 + }, + { + "epoch": 9.16, + "learning_rate": 1.4006722689075632e-05, + "loss": 0.5733, + "step": 1833 + }, + { + "epoch": 9.17, + "learning_rate": 1.4003361344537816e-05, + "loss": 1.4245, + "step": 1834 + }, + { + "epoch": 9.18, + "learning_rate": 1.4e-05, + "loss": 0.6202, + "step": 1835 + }, + { + "epoch": 9.18, + "learning_rate": 1.3996638655462187e-05, + "loss": 0.2396, + "step": 1836 + }, + { + "epoch": 9.19, + "learning_rate": 1.3993277310924371e-05, + "loss": 0.3794, + "step": 1837 + }, + { + "epoch": 9.19, + "learning_rate": 1.3989915966386556e-05, + "loss": 0.75, + "step": 1838 + }, + { + "epoch": 9.2, + "learning_rate": 1.398655462184874e-05, + "loss": 0.4661, + "step": 1839 + }, + { + "epoch": 9.2, + "learning_rate": 1.3983193277310924e-05, + "loss": 0.9094, + "step": 1840 + }, + { + "epoch": 9.21, + "learning_rate": 1.3979831932773111e-05, + "loss": 0.5853, + "step": 1841 + }, + { + "epoch": 9.21, + "learning_rate": 1.3976470588235295e-05, + "loss": 1.5755, + "step": 1842 + }, + { + "epoch": 9.21, + "learning_rate": 1.397310924369748e-05, + "loss": 0.7263, + "step": 1843 + }, + { + "epoch": 9.22, + "learning_rate": 1.3969747899159665e-05, + "loss": 0.3969, + "step": 1844 + }, + { + "epoch": 9.22, + "learning_rate": 1.3966386554621848e-05, + "loss": 0.7588, + "step": 1845 + }, + { + "epoch": 9.23, + "learning_rate": 1.3963025210084036e-05, + "loss": 0.6951, + "step": 1846 + }, + { + "epoch": 9.23, + "learning_rate": 1.395966386554622e-05, + "loss": 0.1737, + "step": 1847 + }, + { + "epoch": 9.24, + "learning_rate": 1.3956302521008405e-05, + "loss": 0.6339, + "step": 1848 + }, + { + "epoch": 9.24, + "learning_rate": 1.3952941176470589e-05, + "loss": 0.6578, + "step": 1849 + }, + { + "epoch": 9.25, + "learning_rate": 1.3949579831932774e-05, + "loss": 0.9876, + "step": 1850 + }, + { + "epoch": 9.26, + "learning_rate": 1.394621848739496e-05, + "loss": 0.4728, + "step": 1851 + }, + { + "epoch": 9.26, + "learning_rate": 1.3942857142857145e-05, + "loss": 0.7598, + "step": 1852 + }, + { + "epoch": 9.27, + "learning_rate": 1.393949579831933e-05, + "loss": 0.972, + "step": 1853 + }, + { + "epoch": 9.27, + "learning_rate": 1.3936134453781513e-05, + "loss": 1.4283, + "step": 1854 + }, + { + "epoch": 9.28, + "learning_rate": 1.3932773109243699e-05, + "loss": 0.4748, + "step": 1855 + }, + { + "epoch": 9.28, + "learning_rate": 1.3929411764705882e-05, + "loss": 1.2661, + "step": 1856 + }, + { + "epoch": 9.29, + "learning_rate": 1.392605042016807e-05, + "loss": 0.5224, + "step": 1857 + }, + { + "epoch": 9.29, + "learning_rate": 1.3922689075630253e-05, + "loss": 1.5148, + "step": 1858 + }, + { + "epoch": 9.29, + "learning_rate": 1.3919327731092437e-05, + "loss": 0.1911, + "step": 1859 + }, + { + "epoch": 9.3, + "learning_rate": 1.3915966386554623e-05, + "loss": 1.2656, + "step": 1860 + }, + { + "epoch": 9.3, + "learning_rate": 1.3912605042016807e-05, + "loss": 0.296, + "step": 1861 + }, + { + "epoch": 9.31, + "learning_rate": 1.3909243697478994e-05, + "loss": 0.5388, + "step": 1862 + }, + { + "epoch": 9.31, + "learning_rate": 1.3905882352941178e-05, + "loss": 0.4923, + "step": 1863 + }, + { + "epoch": 9.32, + "learning_rate": 1.3902521008403362e-05, + "loss": 0.6663, + "step": 1864 + }, + { + "epoch": 9.32, + "learning_rate": 1.3899159663865547e-05, + "loss": 1.5657, + "step": 1865 + }, + { + "epoch": 9.33, + "learning_rate": 1.3895798319327731e-05, + "loss": 1.1706, + "step": 1866 + }, + { + "epoch": 9.34, + "learning_rate": 1.3892436974789918e-05, + "loss": 0.5884, + "step": 1867 + }, + { + "epoch": 9.34, + "learning_rate": 1.3889075630252102e-05, + "loss": 1.3696, + "step": 1868 + }, + { + "epoch": 9.35, + "learning_rate": 1.3885714285714288e-05, + "loss": 1.4403, + "step": 1869 + }, + { + "epoch": 9.35, + "learning_rate": 1.3882352941176471e-05, + "loss": 0.6253, + "step": 1870 + }, + { + "epoch": 9.36, + "learning_rate": 1.3878991596638655e-05, + "loss": 0.96, + "step": 1871 + }, + { + "epoch": 9.36, + "learning_rate": 1.3875630252100842e-05, + "loss": 0.508, + "step": 1872 + }, + { + "epoch": 9.37, + "learning_rate": 1.3872268907563026e-05, + "loss": 0.5219, + "step": 1873 + }, + { + "epoch": 9.37, + "learning_rate": 1.3868907563025212e-05, + "loss": 0.9231, + "step": 1874 + }, + { + "epoch": 9.38, + "learning_rate": 1.3865546218487396e-05, + "loss": 0.3745, + "step": 1875 + }, + { + "epoch": 9.38, + "learning_rate": 1.386218487394958e-05, + "loss": 0.6617, + "step": 1876 + }, + { + "epoch": 9.38, + "learning_rate": 1.3858823529411767e-05, + "loss": 0.4519, + "step": 1877 + }, + { + "epoch": 9.39, + "learning_rate": 1.385546218487395e-05, + "loss": 1.0146, + "step": 1878 + }, + { + "epoch": 9.39, + "learning_rate": 1.3852100840336136e-05, + "loss": 1.2868, + "step": 1879 + }, + { + "epoch": 9.4, + "learning_rate": 1.384873949579832e-05, + "loss": 0.4589, + "step": 1880 + }, + { + "epoch": 9.4, + "learning_rate": 1.3845378151260504e-05, + "loss": 0.4084, + "step": 1881 + }, + { + "epoch": 9.41, + "learning_rate": 1.3842016806722691e-05, + "loss": 1.0918, + "step": 1882 + }, + { + "epoch": 9.41, + "learning_rate": 1.3838655462184875e-05, + "loss": 0.9879, + "step": 1883 + }, + { + "epoch": 9.42, + "learning_rate": 1.383529411764706e-05, + "loss": 0.5851, + "step": 1884 + }, + { + "epoch": 9.43, + "learning_rate": 1.3831932773109244e-05, + "loss": 0.453, + "step": 1885 + }, + { + "epoch": 9.43, + "learning_rate": 1.382857142857143e-05, + "loss": 0.2895, + "step": 1886 + }, + { + "epoch": 9.44, + "learning_rate": 1.3825210084033615e-05, + "loss": 1.3436, + "step": 1887 + }, + { + "epoch": 9.44, + "learning_rate": 1.38218487394958e-05, + "loss": 0.4733, + "step": 1888 + }, + { + "epoch": 9.45, + "learning_rate": 1.3818487394957985e-05, + "loss": 1.7151, + "step": 1889 + }, + { + "epoch": 9.45, + "learning_rate": 1.3815126050420169e-05, + "loss": 0.6663, + "step": 1890 + }, + { + "epoch": 9.46, + "learning_rate": 1.3811764705882354e-05, + "loss": 0.3803, + "step": 1891 + }, + { + "epoch": 9.46, + "learning_rate": 1.3808403361344538e-05, + "loss": 0.7133, + "step": 1892 + }, + { + "epoch": 9.46, + "learning_rate": 1.3805042016806725e-05, + "loss": 0.9778, + "step": 1893 + }, + { + "epoch": 9.47, + "learning_rate": 1.3801680672268909e-05, + "loss": 0.53, + "step": 1894 + }, + { + "epoch": 9.47, + "learning_rate": 1.3798319327731093e-05, + "loss": 0.8235, + "step": 1895 + }, + { + "epoch": 9.48, + "learning_rate": 1.3794957983193278e-05, + "loss": 0.5128, + "step": 1896 + }, + { + "epoch": 9.48, + "learning_rate": 1.3791596638655462e-05, + "loss": 0.8381, + "step": 1897 + }, + { + "epoch": 9.49, + "learning_rate": 1.378823529411765e-05, + "loss": 0.2459, + "step": 1898 + }, + { + "epoch": 9.49, + "learning_rate": 1.3784873949579833e-05, + "loss": 0.4291, + "step": 1899 + }, + { + "epoch": 9.5, + "learning_rate": 1.3781512605042017e-05, + "loss": 1.1756, + "step": 1900 + }, + { + "epoch": 9.51, + "learning_rate": 1.3778151260504203e-05, + "loss": 0.2755, + "step": 1901 + }, + { + "epoch": 9.51, + "learning_rate": 1.3774789915966386e-05, + "loss": 0.937, + "step": 1902 + }, + { + "epoch": 9.52, + "learning_rate": 1.3771428571428574e-05, + "loss": 0.4945, + "step": 1903 + }, + { + "epoch": 9.52, + "learning_rate": 1.3768067226890757e-05, + "loss": 1.4508, + "step": 1904 + }, + { + "epoch": 9.53, + "learning_rate": 1.3764705882352943e-05, + "loss": 0.8697, + "step": 1905 + }, + { + "epoch": 9.53, + "learning_rate": 1.3761344537815127e-05, + "loss": 1.2177, + "step": 1906 + }, + { + "epoch": 9.54, + "learning_rate": 1.375798319327731e-05, + "loss": 0.5298, + "step": 1907 + }, + { + "epoch": 9.54, + "learning_rate": 1.3754621848739498e-05, + "loss": 0.4151, + "step": 1908 + }, + { + "epoch": 9.54, + "learning_rate": 1.3751260504201682e-05, + "loss": 0.4632, + "step": 1909 + }, + { + "epoch": 9.55, + "learning_rate": 1.3747899159663867e-05, + "loss": 1.1283, + "step": 1910 + }, + { + "epoch": 9.55, + "learning_rate": 1.3744537815126051e-05, + "loss": 0.4948, + "step": 1911 + }, + { + "epoch": 9.56, + "learning_rate": 1.3741176470588235e-05, + "loss": 1.1315, + "step": 1912 + }, + { + "epoch": 9.56, + "learning_rate": 1.3737815126050422e-05, + "loss": 1.252, + "step": 1913 + }, + { + "epoch": 9.57, + "learning_rate": 1.3734453781512606e-05, + "loss": 0.5801, + "step": 1914 + }, + { + "epoch": 9.57, + "learning_rate": 1.3731092436974792e-05, + "loss": 1.6016, + "step": 1915 + }, + { + "epoch": 9.58, + "learning_rate": 1.3727731092436975e-05, + "loss": 1.6406, + "step": 1916 + }, + { + "epoch": 9.59, + "learning_rate": 1.372436974789916e-05, + "loss": 1.1871, + "step": 1917 + }, + { + "epoch": 9.59, + "learning_rate": 1.3721008403361346e-05, + "loss": 1.4148, + "step": 1918 + }, + { + "epoch": 9.6, + "learning_rate": 1.371764705882353e-05, + "loss": 0.8514, + "step": 1919 + }, + { + "epoch": 9.6, + "learning_rate": 1.3714285714285716e-05, + "loss": 0.8234, + "step": 1920 + }, + { + "epoch": 9.61, + "learning_rate": 1.37109243697479e-05, + "loss": 0.5051, + "step": 1921 + }, + { + "epoch": 9.61, + "learning_rate": 1.3707563025210085e-05, + "loss": 0.3392, + "step": 1922 + }, + { + "epoch": 9.62, + "learning_rate": 1.370420168067227e-05, + "loss": 0.6887, + "step": 1923 + }, + { + "epoch": 9.62, + "learning_rate": 1.3700840336134456e-05, + "loss": 0.7989, + "step": 1924 + }, + { + "epoch": 9.62, + "learning_rate": 1.369747899159664e-05, + "loss": 1.0528, + "step": 1925 + }, + { + "epoch": 9.63, + "learning_rate": 1.3694117647058824e-05, + "loss": 0.3473, + "step": 1926 + }, + { + "epoch": 9.63, + "learning_rate": 1.369075630252101e-05, + "loss": 0.2815, + "step": 1927 + }, + { + "epoch": 9.64, + "learning_rate": 1.3687394957983193e-05, + "loss": 2.2039, + "step": 1928 + }, + { + "epoch": 9.64, + "learning_rate": 1.368403361344538e-05, + "loss": 0.7874, + "step": 1929 + }, + { + "epoch": 9.65, + "learning_rate": 1.3680672268907564e-05, + "loss": 0.8625, + "step": 1930 + }, + { + "epoch": 9.65, + "learning_rate": 1.3677310924369748e-05, + "loss": 0.2369, + "step": 1931 + }, + { + "epoch": 9.66, + "learning_rate": 1.3673949579831934e-05, + "loss": 1.623, + "step": 1932 + }, + { + "epoch": 9.66, + "learning_rate": 1.3670588235294118e-05, + "loss": 1.1418, + "step": 1933 + }, + { + "epoch": 9.67, + "learning_rate": 1.3667226890756305e-05, + "loss": 0.9354, + "step": 1934 + }, + { + "epoch": 9.68, + "learning_rate": 1.3663865546218489e-05, + "loss": 0.8245, + "step": 1935 + }, + { + "epoch": 9.68, + "learning_rate": 1.3660504201680673e-05, + "loss": 0.7544, + "step": 1936 + }, + { + "epoch": 9.69, + "learning_rate": 1.3657142857142858e-05, + "loss": 0.7073, + "step": 1937 + }, + { + "epoch": 9.69, + "learning_rate": 1.3653781512605042e-05, + "loss": 0.8155, + "step": 1938 + }, + { + "epoch": 9.7, + "learning_rate": 1.3650420168067229e-05, + "loss": 0.3736, + "step": 1939 + }, + { + "epoch": 9.7, + "learning_rate": 1.3647058823529413e-05, + "loss": 0.4383, + "step": 1940 + }, + { + "epoch": 9.71, + "learning_rate": 1.3643697478991598e-05, + "loss": 1.2773, + "step": 1941 + }, + { + "epoch": 9.71, + "learning_rate": 1.3640336134453782e-05, + "loss": 1.3456, + "step": 1942 + }, + { + "epoch": 9.71, + "learning_rate": 1.3636974789915966e-05, + "loss": 0.3544, + "step": 1943 + }, + { + "epoch": 9.72, + "learning_rate": 1.3633613445378153e-05, + "loss": 0.6592, + "step": 1944 + }, + { + "epoch": 9.72, + "learning_rate": 1.3630252100840337e-05, + "loss": 1.3619, + "step": 1945 + }, + { + "epoch": 9.73, + "learning_rate": 1.3626890756302523e-05, + "loss": 0.8722, + "step": 1946 + }, + { + "epoch": 9.73, + "learning_rate": 1.3623529411764707e-05, + "loss": 0.9446, + "step": 1947 + }, + { + "epoch": 9.74, + "learning_rate": 1.362016806722689e-05, + "loss": 0.2723, + "step": 1948 + }, + { + "epoch": 9.74, + "learning_rate": 1.3616806722689078e-05, + "loss": 0.9571, + "step": 1949 + }, + { + "epoch": 9.75, + "learning_rate": 1.3613445378151261e-05, + "loss": 1.3818, + "step": 1950 + }, + { + "epoch": 9.76, + "learning_rate": 1.3610084033613447e-05, + "loss": 0.3016, + "step": 1951 + }, + { + "epoch": 9.76, + "learning_rate": 1.3606722689075631e-05, + "loss": 0.9367, + "step": 1952 + }, + { + "epoch": 9.77, + "learning_rate": 1.3603361344537815e-05, + "loss": 0.4652, + "step": 1953 + }, + { + "epoch": 9.77, + "learning_rate": 1.3600000000000002e-05, + "loss": 0.9733, + "step": 1954 + }, + { + "epoch": 9.78, + "learning_rate": 1.3596638655462186e-05, + "loss": 0.8752, + "step": 1955 + }, + { + "epoch": 9.78, + "learning_rate": 1.3593277310924371e-05, + "loss": 0.8294, + "step": 1956 + }, + { + "epoch": 9.79, + "learning_rate": 1.3589915966386555e-05, + "loss": 1.3587, + "step": 1957 + }, + { + "epoch": 9.79, + "learning_rate": 1.358655462184874e-05, + "loss": 0.3069, + "step": 1958 + }, + { + "epoch": 9.79, + "learning_rate": 1.3583193277310926e-05, + "loss": 0.6027, + "step": 1959 + }, + { + "epoch": 9.8, + "learning_rate": 1.3579831932773112e-05, + "loss": 0.4897, + "step": 1960 + }, + { + "epoch": 9.8, + "learning_rate": 1.3576470588235296e-05, + "loss": 0.2048, + "step": 1961 + }, + { + "epoch": 9.81, + "learning_rate": 1.357310924369748e-05, + "loss": 0.4716, + "step": 1962 + }, + { + "epoch": 9.81, + "learning_rate": 1.3569747899159665e-05, + "loss": 0.5109, + "step": 1963 + }, + { + "epoch": 9.82, + "learning_rate": 1.356638655462185e-05, + "loss": 0.7821, + "step": 1964 + }, + { + "epoch": 9.82, + "learning_rate": 1.3563025210084036e-05, + "loss": 0.4158, + "step": 1965 + }, + { + "epoch": 9.83, + "learning_rate": 1.355966386554622e-05, + "loss": 0.4489, + "step": 1966 + }, + { + "epoch": 9.84, + "learning_rate": 1.3556302521008404e-05, + "loss": 0.3916, + "step": 1967 + }, + { + "epoch": 9.84, + "learning_rate": 1.355294117647059e-05, + "loss": 0.3642, + "step": 1968 + }, + { + "epoch": 9.85, + "learning_rate": 1.3549579831932773e-05, + "loss": 0.5699, + "step": 1969 + }, + { + "epoch": 9.85, + "learning_rate": 1.354621848739496e-05, + "loss": 0.7995, + "step": 1970 + }, + { + "epoch": 9.86, + "learning_rate": 1.3542857142857144e-05, + "loss": 0.4129, + "step": 1971 + }, + { + "epoch": 9.86, + "learning_rate": 1.3539495798319328e-05, + "loss": 0.974, + "step": 1972 + }, + { + "epoch": 9.87, + "learning_rate": 1.3536134453781513e-05, + "loss": 0.3876, + "step": 1973 + }, + { + "epoch": 9.87, + "learning_rate": 1.3532773109243697e-05, + "loss": 0.9547, + "step": 1974 + }, + { + "epoch": 9.88, + "learning_rate": 1.3529411764705885e-05, + "loss": 1.0762, + "step": 1975 + }, + { + "epoch": 9.88, + "learning_rate": 1.3526050420168068e-05, + "loss": 1.5174, + "step": 1976 + }, + { + "epoch": 9.88, + "learning_rate": 1.3522689075630254e-05, + "loss": 1.6676, + "step": 1977 + }, + { + "epoch": 9.89, + "learning_rate": 1.3519327731092438e-05, + "loss": 1.4042, + "step": 1978 + }, + { + "epoch": 9.89, + "learning_rate": 1.3515966386554622e-05, + "loss": 0.8136, + "step": 1979 + }, + { + "epoch": 9.9, + "learning_rate": 1.3512605042016809e-05, + "loss": 0.4899, + "step": 1980 + }, + { + "epoch": 9.9, + "learning_rate": 1.3509243697478993e-05, + "loss": 1.5373, + "step": 1981 + }, + { + "epoch": 9.91, + "learning_rate": 1.3505882352941178e-05, + "loss": 1.5274, + "step": 1982 + }, + { + "epoch": 9.91, + "learning_rate": 1.3502521008403362e-05, + "loss": 0.4123, + "step": 1983 + }, + { + "epoch": 9.92, + "learning_rate": 1.3499159663865546e-05, + "loss": 0.8956, + "step": 1984 + }, + { + "epoch": 9.93, + "learning_rate": 1.3495798319327733e-05, + "loss": 0.716, + "step": 1985 + }, + { + "epoch": 9.93, + "learning_rate": 1.3492436974789917e-05, + "loss": 0.2761, + "step": 1986 + }, + { + "epoch": 9.94, + "learning_rate": 1.3489075630252102e-05, + "loss": 1.8792, + "step": 1987 + }, + { + "epoch": 9.94, + "learning_rate": 1.3485714285714286e-05, + "loss": 0.3589, + "step": 1988 + }, + { + "epoch": 9.95, + "learning_rate": 1.348235294117647e-05, + "loss": 0.611, + "step": 1989 + }, + { + "epoch": 9.95, + "learning_rate": 1.3478991596638657e-05, + "loss": 1.154, + "step": 1990 + }, + { + "epoch": 9.96, + "learning_rate": 1.3475630252100841e-05, + "loss": 0.8218, + "step": 1991 + }, + { + "epoch": 9.96, + "learning_rate": 1.3472268907563027e-05, + "loss": 0.8146, + "step": 1992 + }, + { + "epoch": 9.96, + "learning_rate": 1.346890756302521e-05, + "loss": 0.9377, + "step": 1993 + }, + { + "epoch": 9.97, + "learning_rate": 1.3465546218487396e-05, + "loss": 1.0805, + "step": 1994 + }, + { + "epoch": 9.97, + "learning_rate": 1.3462184873949582e-05, + "loss": 0.6716, + "step": 1995 + }, + { + "epoch": 9.98, + "learning_rate": 1.3458823529411767e-05, + "loss": 0.7085, + "step": 1996 + }, + { + "epoch": 9.98, + "learning_rate": 1.3455462184873951e-05, + "loss": 1.6542, + "step": 1997 + }, + { + "epoch": 9.99, + "learning_rate": 1.3452100840336135e-05, + "loss": 0.9923, + "step": 1998 + }, + { + "epoch": 9.99, + "learning_rate": 1.344873949579832e-05, + "loss": 0.18, + "step": 1999 + }, + { + "epoch": 10.0, + "learning_rate": 1.3445378151260506e-05, + "loss": 0.8604, + "step": 2000 + }, + { + "epoch": 10.0, + "eval_accuracy": 0.72, + "eval_loss": 0.9713083505630493, + "eval_roc_auc": 0.9432404043431222, + "eval_runtime": 59.4064, + "eval_samples_per_second": 3.367, + "eval_steps_per_second": 0.842, + "step": 2000 + }, + { + "epoch": 10.01, + "learning_rate": 1.3442016806722691e-05, + "loss": 0.4443, + "step": 2001 + }, + { + "epoch": 10.01, + "learning_rate": 1.3438655462184875e-05, + "loss": 1.495, + "step": 2002 + }, + { + "epoch": 10.02, + "learning_rate": 1.3435294117647059e-05, + "loss": 0.3697, + "step": 2003 + }, + { + "epoch": 10.02, + "learning_rate": 1.3431932773109245e-05, + "loss": 0.2098, + "step": 2004 + }, + { + "epoch": 10.03, + "learning_rate": 1.3428571428571429e-05, + "loss": 0.3829, + "step": 2005 + }, + { + "epoch": 10.03, + "learning_rate": 1.3425210084033616e-05, + "loss": 0.4492, + "step": 2006 + }, + { + "epoch": 10.04, + "learning_rate": 1.34218487394958e-05, + "loss": 0.3948, + "step": 2007 + }, + { + "epoch": 10.04, + "learning_rate": 1.3418487394957983e-05, + "loss": 0.3341, + "step": 2008 + }, + { + "epoch": 10.04, + "learning_rate": 1.3415126050420169e-05, + "loss": 0.8588, + "step": 2009 + }, + { + "epoch": 10.05, + "learning_rate": 1.3411764705882353e-05, + "loss": 0.2403, + "step": 2010 + }, + { + "epoch": 10.05, + "learning_rate": 1.340840336134454e-05, + "loss": 0.2068, + "step": 2011 + }, + { + "epoch": 10.06, + "learning_rate": 1.3405042016806724e-05, + "loss": 0.2036, + "step": 2012 + }, + { + "epoch": 10.06, + "learning_rate": 1.340168067226891e-05, + "loss": 0.9922, + "step": 2013 + }, + { + "epoch": 10.07, + "learning_rate": 1.3398319327731093e-05, + "loss": 0.7373, + "step": 2014 + }, + { + "epoch": 10.07, + "learning_rate": 1.3394957983193277e-05, + "loss": 1.0734, + "step": 2015 + }, + { + "epoch": 10.08, + "learning_rate": 1.3391596638655464e-05, + "loss": 1.0472, + "step": 2016 + }, + { + "epoch": 10.09, + "learning_rate": 1.3388235294117648e-05, + "loss": 0.7715, + "step": 2017 + }, + { + "epoch": 10.09, + "learning_rate": 1.3384873949579834e-05, + "loss": 0.6793, + "step": 2018 + }, + { + "epoch": 10.1, + "learning_rate": 1.3381512605042017e-05, + "loss": 0.5533, + "step": 2019 + }, + { + "epoch": 10.1, + "learning_rate": 1.3378151260504201e-05, + "loss": 0.3356, + "step": 2020 + }, + { + "epoch": 10.11, + "learning_rate": 1.3374789915966389e-05, + "loss": 0.4814, + "step": 2021 + }, + { + "epoch": 10.11, + "learning_rate": 1.3371428571428572e-05, + "loss": 1.5247, + "step": 2022 + }, + { + "epoch": 10.12, + "learning_rate": 1.3368067226890758e-05, + "loss": 1.0242, + "step": 2023 + }, + { + "epoch": 10.12, + "learning_rate": 1.3364705882352942e-05, + "loss": 0.4092, + "step": 2024 + }, + { + "epoch": 10.12, + "learning_rate": 1.3361344537815126e-05, + "loss": 0.3545, + "step": 2025 + }, + { + "epoch": 10.13, + "learning_rate": 1.3357983193277313e-05, + "loss": 0.5982, + "step": 2026 + }, + { + "epoch": 10.13, + "learning_rate": 1.3354621848739497e-05, + "loss": 0.7087, + "step": 2027 + }, + { + "epoch": 10.14, + "learning_rate": 1.3351260504201682e-05, + "loss": 0.8148, + "step": 2028 + }, + { + "epoch": 10.14, + "learning_rate": 1.3347899159663866e-05, + "loss": 0.3981, + "step": 2029 + }, + { + "epoch": 10.15, + "learning_rate": 1.3344537815126052e-05, + "loss": 0.9652, + "step": 2030 + }, + { + "epoch": 10.15, + "learning_rate": 1.3341176470588237e-05, + "loss": 0.2616, + "step": 2031 + }, + { + "epoch": 10.16, + "learning_rate": 1.3337815126050423e-05, + "loss": 0.4487, + "step": 2032 + }, + { + "epoch": 10.16, + "learning_rate": 1.3334453781512606e-05, + "loss": 0.5518, + "step": 2033 + }, + { + "epoch": 10.17, + "learning_rate": 1.333109243697479e-05, + "loss": 1.0708, + "step": 2034 + }, + { + "epoch": 10.18, + "learning_rate": 1.3327731092436976e-05, + "loss": 0.6148, + "step": 2035 + }, + { + "epoch": 10.18, + "learning_rate": 1.3324369747899161e-05, + "loss": 0.849, + "step": 2036 + }, + { + "epoch": 10.19, + "learning_rate": 1.3321008403361347e-05, + "loss": 0.777, + "step": 2037 + }, + { + "epoch": 10.19, + "learning_rate": 1.331764705882353e-05, + "loss": 0.3765, + "step": 2038 + }, + { + "epoch": 10.2, + "learning_rate": 1.3314285714285715e-05, + "loss": 0.472, + "step": 2039 + }, + { + "epoch": 10.2, + "learning_rate": 1.33109243697479e-05, + "loss": 1.1007, + "step": 2040 + }, + { + "epoch": 10.21, + "learning_rate": 1.3307563025210084e-05, + "loss": 0.5453, + "step": 2041 + }, + { + "epoch": 10.21, + "learning_rate": 1.3304201680672271e-05, + "loss": 0.6201, + "step": 2042 + }, + { + "epoch": 10.21, + "learning_rate": 1.3300840336134455e-05, + "loss": 0.9163, + "step": 2043 + }, + { + "epoch": 10.22, + "learning_rate": 1.3297478991596639e-05, + "loss": 1.131, + "step": 2044 + }, + { + "epoch": 10.22, + "learning_rate": 1.3294117647058824e-05, + "loss": 0.2237, + "step": 2045 + }, + { + "epoch": 10.23, + "learning_rate": 1.3290756302521008e-05, + "loss": 0.9267, + "step": 2046 + }, + { + "epoch": 10.23, + "learning_rate": 1.3287394957983195e-05, + "loss": 0.5093, + "step": 2047 + }, + { + "epoch": 10.24, + "learning_rate": 1.328403361344538e-05, + "loss": 0.3619, + "step": 2048 + }, + { + "epoch": 10.24, + "learning_rate": 1.3280672268907565e-05, + "loss": 0.3876, + "step": 2049 + }, + { + "epoch": 10.25, + "learning_rate": 1.3277310924369749e-05, + "loss": 0.9397, + "step": 2050 + }, + { + "epoch": 10.26, + "learning_rate": 1.3273949579831933e-05, + "loss": 0.2171, + "step": 2051 + }, + { + "epoch": 10.26, + "learning_rate": 1.327058823529412e-05, + "loss": 0.1515, + "step": 2052 + }, + { + "epoch": 10.27, + "learning_rate": 1.3267226890756304e-05, + "loss": 1.0235, + "step": 2053 + }, + { + "epoch": 10.27, + "learning_rate": 1.3263865546218489e-05, + "loss": 1.0788, + "step": 2054 + }, + { + "epoch": 10.28, + "learning_rate": 1.3260504201680673e-05, + "loss": 0.5955, + "step": 2055 + }, + { + "epoch": 10.28, + "learning_rate": 1.3257142857142857e-05, + "loss": 0.2292, + "step": 2056 + }, + { + "epoch": 10.29, + "learning_rate": 1.3253781512605044e-05, + "loss": 0.5672, + "step": 2057 + }, + { + "epoch": 10.29, + "learning_rate": 1.3250420168067228e-05, + "loss": 0.2399, + "step": 2058 + }, + { + "epoch": 10.29, + "learning_rate": 1.3247058823529413e-05, + "loss": 1.1755, + "step": 2059 + }, + { + "epoch": 10.3, + "learning_rate": 1.3243697478991597e-05, + "loss": 1.4029, + "step": 2060 + }, + { + "epoch": 10.3, + "learning_rate": 1.3240336134453781e-05, + "loss": 0.3019, + "step": 2061 + }, + { + "epoch": 10.31, + "learning_rate": 1.3236974789915968e-05, + "loss": 0.1909, + "step": 2062 + }, + { + "epoch": 10.31, + "learning_rate": 1.3233613445378152e-05, + "loss": 0.4915, + "step": 2063 + }, + { + "epoch": 10.32, + "learning_rate": 1.3230252100840338e-05, + "loss": 0.5033, + "step": 2064 + }, + { + "epoch": 10.32, + "learning_rate": 1.3226890756302521e-05, + "loss": 1.1938, + "step": 2065 + }, + { + "epoch": 10.33, + "learning_rate": 1.3223529411764705e-05, + "loss": 0.5872, + "step": 2066 + }, + { + "epoch": 10.34, + "learning_rate": 1.3220168067226893e-05, + "loss": 0.5297, + "step": 2067 + }, + { + "epoch": 10.34, + "learning_rate": 1.3216806722689078e-05, + "loss": 0.2345, + "step": 2068 + }, + { + "epoch": 10.35, + "learning_rate": 1.3213445378151262e-05, + "loss": 0.8255, + "step": 2069 + }, + { + "epoch": 10.35, + "learning_rate": 1.3210084033613446e-05, + "loss": 1.3856, + "step": 2070 + }, + { + "epoch": 10.36, + "learning_rate": 1.3206722689075631e-05, + "loss": 0.7438, + "step": 2071 + }, + { + "epoch": 10.36, + "learning_rate": 1.3203361344537817e-05, + "loss": 0.3785, + "step": 2072 + }, + { + "epoch": 10.37, + "learning_rate": 1.3200000000000002e-05, + "loss": 1.5965, + "step": 2073 + }, + { + "epoch": 10.37, + "learning_rate": 1.3196638655462186e-05, + "loss": 0.7627, + "step": 2074 + }, + { + "epoch": 10.38, + "learning_rate": 1.319327731092437e-05, + "loss": 0.3732, + "step": 2075 + }, + { + "epoch": 10.38, + "learning_rate": 1.3189915966386556e-05, + "loss": 1.0817, + "step": 2076 + }, + { + "epoch": 10.38, + "learning_rate": 1.318655462184874e-05, + "loss": 0.6734, + "step": 2077 + }, + { + "epoch": 10.39, + "learning_rate": 1.3183193277310927e-05, + "loss": 0.2145, + "step": 2078 + }, + { + "epoch": 10.39, + "learning_rate": 1.317983193277311e-05, + "loss": 0.5531, + "step": 2079 + }, + { + "epoch": 10.4, + "learning_rate": 1.3176470588235294e-05, + "loss": 0.2157, + "step": 2080 + }, + { + "epoch": 10.4, + "learning_rate": 1.317310924369748e-05, + "loss": 0.6628, + "step": 2081 + }, + { + "epoch": 10.41, + "learning_rate": 1.3169747899159664e-05, + "loss": 0.7709, + "step": 2082 + }, + { + "epoch": 10.41, + "learning_rate": 1.3166386554621851e-05, + "loss": 0.7227, + "step": 2083 + }, + { + "epoch": 10.42, + "learning_rate": 1.3163025210084035e-05, + "loss": 0.334, + "step": 2084 + }, + { + "epoch": 10.43, + "learning_rate": 1.315966386554622e-05, + "loss": 0.177, + "step": 2085 + }, + { + "epoch": 10.43, + "learning_rate": 1.3156302521008404e-05, + "loss": 0.38, + "step": 2086 + }, + { + "epoch": 10.44, + "learning_rate": 1.3152941176470588e-05, + "loss": 0.5248, + "step": 2087 + }, + { + "epoch": 10.44, + "learning_rate": 1.3149579831932775e-05, + "loss": 0.3381, + "step": 2088 + }, + { + "epoch": 10.45, + "learning_rate": 1.3146218487394959e-05, + "loss": 0.3772, + "step": 2089 + }, + { + "epoch": 10.45, + "learning_rate": 1.3142857142857145e-05, + "loss": 0.278, + "step": 2090 + }, + { + "epoch": 10.46, + "learning_rate": 1.3139495798319328e-05, + "loss": 0.319, + "step": 2091 + }, + { + "epoch": 10.46, + "learning_rate": 1.3136134453781512e-05, + "loss": 0.6392, + "step": 2092 + }, + { + "epoch": 10.46, + "learning_rate": 1.31327731092437e-05, + "loss": 1.0522, + "step": 2093 + }, + { + "epoch": 10.47, + "learning_rate": 1.3129411764705883e-05, + "loss": 1.059, + "step": 2094 + }, + { + "epoch": 10.47, + "learning_rate": 1.3126050420168069e-05, + "loss": 1.6786, + "step": 2095 + }, + { + "epoch": 10.48, + "learning_rate": 1.3122689075630253e-05, + "loss": 1.2311, + "step": 2096 + }, + { + "epoch": 10.48, + "learning_rate": 1.3119327731092437e-05, + "loss": 0.3054, + "step": 2097 + }, + { + "epoch": 10.49, + "learning_rate": 1.3115966386554624e-05, + "loss": 0.6872, + "step": 2098 + }, + { + "epoch": 10.49, + "learning_rate": 1.3112605042016808e-05, + "loss": 1.134, + "step": 2099 + }, + { + "epoch": 10.5, + "learning_rate": 1.3109243697478993e-05, + "loss": 0.4228, + "step": 2100 + }, + { + "epoch": 10.51, + "learning_rate": 1.3105882352941177e-05, + "loss": 0.2961, + "step": 2101 + }, + { + "epoch": 10.51, + "learning_rate": 1.310252100840336e-05, + "loss": 0.3029, + "step": 2102 + }, + { + "epoch": 10.52, + "learning_rate": 1.3099159663865548e-05, + "loss": 0.32, + "step": 2103 + }, + { + "epoch": 10.52, + "learning_rate": 1.3095798319327734e-05, + "loss": 0.2769, + "step": 2104 + }, + { + "epoch": 10.53, + "learning_rate": 1.3092436974789917e-05, + "loss": 0.2944, + "step": 2105 + }, + { + "epoch": 10.53, + "learning_rate": 1.3089075630252101e-05, + "loss": 0.5586, + "step": 2106 + }, + { + "epoch": 10.54, + "learning_rate": 1.3085714285714287e-05, + "loss": 1.4023, + "step": 2107 + }, + { + "epoch": 10.54, + "learning_rate": 1.3082352941176472e-05, + "loss": 1.1247, + "step": 2108 + }, + { + "epoch": 10.54, + "learning_rate": 1.3078991596638658e-05, + "loss": 2.0161, + "step": 2109 + }, + { + "epoch": 10.55, + "learning_rate": 1.3075630252100842e-05, + "loss": 0.6784, + "step": 2110 + }, + { + "epoch": 10.55, + "learning_rate": 1.3072268907563025e-05, + "loss": 0.7206, + "step": 2111 + }, + { + "epoch": 10.56, + "learning_rate": 1.3068907563025211e-05, + "loss": 0.4997, + "step": 2112 + }, + { + "epoch": 10.56, + "learning_rate": 1.3065546218487397e-05, + "loss": 0.3117, + "step": 2113 + }, + { + "epoch": 10.57, + "learning_rate": 1.3062184873949582e-05, + "loss": 1.6085, + "step": 2114 + }, + { + "epoch": 10.57, + "learning_rate": 1.3058823529411766e-05, + "loss": 1.3959, + "step": 2115 + }, + { + "epoch": 10.58, + "learning_rate": 1.305546218487395e-05, + "loss": 0.6904, + "step": 2116 + }, + { + "epoch": 10.59, + "learning_rate": 1.3052100840336135e-05, + "loss": 0.4456, + "step": 2117 + }, + { + "epoch": 10.59, + "learning_rate": 1.3048739495798319e-05, + "loss": 0.2712, + "step": 2118 + }, + { + "epoch": 10.6, + "learning_rate": 1.3045378151260506e-05, + "loss": 0.5555, + "step": 2119 + }, + { + "epoch": 10.6, + "learning_rate": 1.304201680672269e-05, + "loss": 0.5013, + "step": 2120 + }, + { + "epoch": 10.61, + "learning_rate": 1.3038655462184874e-05, + "loss": 0.3519, + "step": 2121 + }, + { + "epoch": 10.61, + "learning_rate": 1.303529411764706e-05, + "loss": 0.2972, + "step": 2122 + }, + { + "epoch": 10.62, + "learning_rate": 1.3031932773109243e-05, + "loss": 0.5153, + "step": 2123 + }, + { + "epoch": 10.62, + "learning_rate": 1.302857142857143e-05, + "loss": 0.5489, + "step": 2124 + }, + { + "epoch": 10.62, + "learning_rate": 1.3025210084033614e-05, + "loss": 0.6625, + "step": 2125 + }, + { + "epoch": 10.63, + "learning_rate": 1.30218487394958e-05, + "loss": 0.3644, + "step": 2126 + }, + { + "epoch": 10.63, + "learning_rate": 1.3018487394957984e-05, + "loss": 0.4438, + "step": 2127 + }, + { + "epoch": 10.64, + "learning_rate": 1.3015126050420168e-05, + "loss": 0.917, + "step": 2128 + }, + { + "epoch": 10.64, + "learning_rate": 1.3011764705882355e-05, + "loss": 0.9348, + "step": 2129 + }, + { + "epoch": 10.65, + "learning_rate": 1.3008403361344539e-05, + "loss": 1.1952, + "step": 2130 + }, + { + "epoch": 10.65, + "learning_rate": 1.3005042016806724e-05, + "loss": 0.3819, + "step": 2131 + }, + { + "epoch": 10.66, + "learning_rate": 1.3001680672268908e-05, + "loss": 0.653, + "step": 2132 + }, + { + "epoch": 10.66, + "learning_rate": 1.2998319327731092e-05, + "loss": 0.4396, + "step": 2133 + }, + { + "epoch": 10.67, + "learning_rate": 1.299495798319328e-05, + "loss": 0.995, + "step": 2134 + }, + { + "epoch": 10.68, + "learning_rate": 1.2991596638655463e-05, + "loss": 1.0152, + "step": 2135 + }, + { + "epoch": 10.68, + "learning_rate": 1.2988235294117649e-05, + "loss": 0.6563, + "step": 2136 + }, + { + "epoch": 10.69, + "learning_rate": 1.2984873949579832e-05, + "loss": 0.8128, + "step": 2137 + }, + { + "epoch": 10.69, + "learning_rate": 1.2981512605042016e-05, + "loss": 0.2018, + "step": 2138 + }, + { + "epoch": 10.7, + "learning_rate": 1.2978151260504203e-05, + "loss": 1.7126, + "step": 2139 + }, + { + "epoch": 10.7, + "learning_rate": 1.2974789915966387e-05, + "loss": 0.6006, + "step": 2140 + }, + { + "epoch": 10.71, + "learning_rate": 1.2971428571428573e-05, + "loss": 0.8798, + "step": 2141 + }, + { + "epoch": 10.71, + "learning_rate": 1.2968067226890757e-05, + "loss": 0.2286, + "step": 2142 + }, + { + "epoch": 10.71, + "learning_rate": 1.2964705882352942e-05, + "loss": 0.4751, + "step": 2143 + }, + { + "epoch": 10.72, + "learning_rate": 1.2961344537815128e-05, + "loss": 1.5837, + "step": 2144 + }, + { + "epoch": 10.72, + "learning_rate": 1.2957983193277313e-05, + "loss": 1.4385, + "step": 2145 + }, + { + "epoch": 10.73, + "learning_rate": 1.2954621848739497e-05, + "loss": 0.3704, + "step": 2146 + }, + { + "epoch": 10.73, + "learning_rate": 1.2951260504201681e-05, + "loss": 0.5771, + "step": 2147 + }, + { + "epoch": 10.74, + "learning_rate": 1.2947899159663866e-05, + "loss": 0.1937, + "step": 2148 + }, + { + "epoch": 10.74, + "learning_rate": 1.2944537815126052e-05, + "loss": 1.1661, + "step": 2149 + }, + { + "epoch": 10.75, + "learning_rate": 1.2941176470588238e-05, + "loss": 1.7224, + "step": 2150 + }, + { + "epoch": 10.76, + "learning_rate": 1.2937815126050421e-05, + "loss": 0.2345, + "step": 2151 + }, + { + "epoch": 10.76, + "learning_rate": 1.2934453781512605e-05, + "loss": 1.5371, + "step": 2152 + }, + { + "epoch": 10.77, + "learning_rate": 1.293109243697479e-05, + "loss": 1.2007, + "step": 2153 + }, + { + "epoch": 10.77, + "learning_rate": 1.2927731092436975e-05, + "loss": 0.7304, + "step": 2154 + }, + { + "epoch": 10.78, + "learning_rate": 1.2924369747899162e-05, + "loss": 1.4439, + "step": 2155 + }, + { + "epoch": 10.78, + "learning_rate": 1.2921008403361346e-05, + "loss": 0.5163, + "step": 2156 + }, + { + "epoch": 10.79, + "learning_rate": 1.291764705882353e-05, + "loss": 0.7692, + "step": 2157 + }, + { + "epoch": 10.79, + "learning_rate": 1.2914285714285715e-05, + "loss": 0.325, + "step": 2158 + }, + { + "epoch": 10.79, + "learning_rate": 1.2910924369747899e-05, + "loss": 0.8242, + "step": 2159 + }, + { + "epoch": 10.8, + "learning_rate": 1.2907563025210086e-05, + "loss": 0.5514, + "step": 2160 + }, + { + "epoch": 10.8, + "learning_rate": 1.290420168067227e-05, + "loss": 1.6194, + "step": 2161 + }, + { + "epoch": 10.81, + "learning_rate": 1.2900840336134455e-05, + "loss": 1.5048, + "step": 2162 + }, + { + "epoch": 10.81, + "learning_rate": 1.289747899159664e-05, + "loss": 0.2271, + "step": 2163 + }, + { + "epoch": 10.82, + "learning_rate": 1.2894117647058823e-05, + "loss": 0.2804, + "step": 2164 + }, + { + "epoch": 10.82, + "learning_rate": 1.289075630252101e-05, + "loss": 0.1615, + "step": 2165 + }, + { + "epoch": 10.83, + "learning_rate": 1.2887394957983194e-05, + "loss": 0.9672, + "step": 2166 + }, + { + "epoch": 10.84, + "learning_rate": 1.288403361344538e-05, + "loss": 0.6692, + "step": 2167 + }, + { + "epoch": 10.84, + "learning_rate": 1.2880672268907564e-05, + "loss": 0.7891, + "step": 2168 + }, + { + "epoch": 10.85, + "learning_rate": 1.2877310924369747e-05, + "loss": 0.3363, + "step": 2169 + }, + { + "epoch": 10.85, + "learning_rate": 1.2873949579831935e-05, + "loss": 0.816, + "step": 2170 + }, + { + "epoch": 10.86, + "learning_rate": 1.2870588235294118e-05, + "loss": 0.8915, + "step": 2171 + }, + { + "epoch": 10.86, + "learning_rate": 1.2867226890756304e-05, + "loss": 0.5289, + "step": 2172 + }, + { + "epoch": 10.87, + "learning_rate": 1.2863865546218488e-05, + "loss": 0.2037, + "step": 2173 + }, + { + "epoch": 10.87, + "learning_rate": 1.2860504201680672e-05, + "loss": 0.9072, + "step": 2174 + }, + { + "epoch": 10.88, + "learning_rate": 1.2857142857142859e-05, + "loss": 0.5091, + "step": 2175 + }, + { + "epoch": 10.88, + "learning_rate": 1.2853781512605043e-05, + "loss": 1.2146, + "step": 2176 + }, + { + "epoch": 10.88, + "learning_rate": 1.2850420168067228e-05, + "loss": 1.4123, + "step": 2177 + }, + { + "epoch": 10.89, + "learning_rate": 1.2847058823529412e-05, + "loss": 1.1465, + "step": 2178 + }, + { + "epoch": 10.89, + "learning_rate": 1.2843697478991598e-05, + "loss": 1.0157, + "step": 2179 + }, + { + "epoch": 10.9, + "learning_rate": 1.2840336134453783e-05, + "loss": 0.1728, + "step": 2180 + }, + { + "epoch": 10.9, + "learning_rate": 1.2836974789915969e-05, + "loss": 0.1335, + "step": 2181 + }, + { + "epoch": 10.91, + "learning_rate": 1.2833613445378153e-05, + "loss": 0.3222, + "step": 2182 + }, + { + "epoch": 10.91, + "learning_rate": 1.2830252100840336e-05, + "loss": 0.217, + "step": 2183 + }, + { + "epoch": 10.92, + "learning_rate": 1.2826890756302522e-05, + "loss": 0.8225, + "step": 2184 + }, + { + "epoch": 10.93, + "learning_rate": 1.2823529411764707e-05, + "loss": 0.8001, + "step": 2185 + }, + { + "epoch": 10.93, + "learning_rate": 1.2820168067226893e-05, + "loss": 1.1762, + "step": 2186 + }, + { + "epoch": 10.94, + "learning_rate": 1.2816806722689077e-05, + "loss": 1.2797, + "step": 2187 + }, + { + "epoch": 10.94, + "learning_rate": 1.281344537815126e-05, + "loss": 0.9917, + "step": 2188 + }, + { + "epoch": 10.95, + "learning_rate": 1.2810084033613446e-05, + "loss": 1.1665, + "step": 2189 + }, + { + "epoch": 10.95, + "learning_rate": 1.280672268907563e-05, + "loss": 0.1494, + "step": 2190 + }, + { + "epoch": 10.96, + "learning_rate": 1.2803361344537817e-05, + "loss": 0.2931, + "step": 2191 + }, + { + "epoch": 10.96, + "learning_rate": 1.2800000000000001e-05, + "loss": 0.3682, + "step": 2192 + }, + { + "epoch": 10.96, + "learning_rate": 1.2796638655462185e-05, + "loss": 0.3853, + "step": 2193 + }, + { + "epoch": 10.97, + "learning_rate": 1.279327731092437e-05, + "loss": 0.2953, + "step": 2194 + }, + { + "epoch": 10.97, + "learning_rate": 1.2789915966386554e-05, + "loss": 0.2916, + "step": 2195 + }, + { + "epoch": 10.98, + "learning_rate": 1.2786554621848742e-05, + "loss": 0.5833, + "step": 2196 + }, + { + "epoch": 10.98, + "learning_rate": 1.2783193277310925e-05, + "loss": 1.3901, + "step": 2197 + }, + { + "epoch": 10.99, + "learning_rate": 1.2779831932773111e-05, + "loss": 0.8032, + "step": 2198 + }, + { + "epoch": 10.99, + "learning_rate": 1.2776470588235295e-05, + "loss": 0.3618, + "step": 2199 + }, + { + "epoch": 11.0, + "learning_rate": 1.2773109243697479e-05, + "loss": 0.6264, + "step": 2200 + }, + { + "epoch": 11.0, + "eval_accuracy": 0.765, + "eval_loss": 0.8596425652503967, + "eval_roc_auc": 0.9532310851463102, + "eval_runtime": 59.5746, + "eval_samples_per_second": 3.357, + "eval_steps_per_second": 0.839, + "step": 2200 + }, + { + "epoch": 11.01, + "learning_rate": 1.2769747899159666e-05, + "loss": 0.3205, + "step": 2201 + }, + { + "epoch": 11.01, + "learning_rate": 1.276638655462185e-05, + "loss": 0.2714, + "step": 2202 + }, + { + "epoch": 11.02, + "learning_rate": 1.2763025210084035e-05, + "loss": 0.3335, + "step": 2203 + }, + { + "epoch": 11.02, + "learning_rate": 1.2759663865546219e-05, + "loss": 0.4576, + "step": 2204 + }, + { + "epoch": 11.03, + "learning_rate": 1.2756302521008403e-05, + "loss": 0.6688, + "step": 2205 + }, + { + "epoch": 11.03, + "learning_rate": 1.275294117647059e-05, + "loss": 0.2906, + "step": 2206 + }, + { + "epoch": 11.04, + "learning_rate": 1.2749579831932774e-05, + "loss": 0.8792, + "step": 2207 + }, + { + "epoch": 11.04, + "learning_rate": 1.274621848739496e-05, + "loss": 0.4008, + "step": 2208 + }, + { + "epoch": 11.04, + "learning_rate": 1.2742857142857143e-05, + "loss": 1.0947, + "step": 2209 + }, + { + "epoch": 11.05, + "learning_rate": 1.2739495798319327e-05, + "loss": 0.3074, + "step": 2210 + }, + { + "epoch": 11.05, + "learning_rate": 1.2736134453781514e-05, + "loss": 0.9814, + "step": 2211 + }, + { + "epoch": 11.06, + "learning_rate": 1.2732773109243698e-05, + "loss": 0.2285, + "step": 2212 + }, + { + "epoch": 11.06, + "learning_rate": 1.2729411764705884e-05, + "loss": 0.4651, + "step": 2213 + }, + { + "epoch": 11.07, + "learning_rate": 1.2726050420168068e-05, + "loss": 0.7241, + "step": 2214 + }, + { + "epoch": 11.07, + "learning_rate": 1.2722689075630253e-05, + "loss": 0.2284, + "step": 2215 + }, + { + "epoch": 11.08, + "learning_rate": 1.2719327731092439e-05, + "loss": 0.5554, + "step": 2216 + }, + { + "epoch": 11.09, + "learning_rate": 1.2715966386554624e-05, + "loss": 0.2387, + "step": 2217 + }, + { + "epoch": 11.09, + "learning_rate": 1.2712605042016808e-05, + "loss": 1.2254, + "step": 2218 + }, + { + "epoch": 11.1, + "learning_rate": 1.2709243697478992e-05, + "loss": 1.3943, + "step": 2219 + }, + { + "epoch": 11.1, + "learning_rate": 1.2705882352941177e-05, + "loss": 0.6156, + "step": 2220 + }, + { + "epoch": 11.11, + "learning_rate": 1.2702521008403363e-05, + "loss": 0.4595, + "step": 2221 + }, + { + "epoch": 11.11, + "learning_rate": 1.2699159663865548e-05, + "loss": 0.1861, + "step": 2222 + }, + { + "epoch": 11.12, + "learning_rate": 1.2695798319327732e-05, + "loss": 0.2886, + "step": 2223 + }, + { + "epoch": 11.12, + "learning_rate": 1.2692436974789916e-05, + "loss": 0.2277, + "step": 2224 + }, + { + "epoch": 11.12, + "learning_rate": 1.2689075630252102e-05, + "loss": 0.2581, + "step": 2225 + }, + { + "epoch": 11.13, + "learning_rate": 1.2685714285714286e-05, + "loss": 1.2827, + "step": 2226 + }, + { + "epoch": 11.13, + "learning_rate": 1.2682352941176473e-05, + "loss": 0.1622, + "step": 2227 + }, + { + "epoch": 11.14, + "learning_rate": 1.2678991596638657e-05, + "loss": 0.7004, + "step": 2228 + }, + { + "epoch": 11.14, + "learning_rate": 1.267563025210084e-05, + "loss": 0.3471, + "step": 2229 + }, + { + "epoch": 11.15, + "learning_rate": 1.2672268907563026e-05, + "loss": 2.2458, + "step": 2230 + }, + { + "epoch": 11.15, + "learning_rate": 1.266890756302521e-05, + "loss": 2.6934, + "step": 2231 + }, + { + "epoch": 11.16, + "learning_rate": 1.2665546218487397e-05, + "loss": 0.5452, + "step": 2232 + }, + { + "epoch": 11.16, + "learning_rate": 1.266218487394958e-05, + "loss": 0.6359, + "step": 2233 + }, + { + "epoch": 11.17, + "learning_rate": 1.2658823529411766e-05, + "loss": 0.4323, + "step": 2234 + }, + { + "epoch": 11.18, + "learning_rate": 1.265546218487395e-05, + "loss": 1.0428, + "step": 2235 + }, + { + "epoch": 11.18, + "learning_rate": 1.2652100840336134e-05, + "loss": 0.3999, + "step": 2236 + }, + { + "epoch": 11.19, + "learning_rate": 1.2648739495798321e-05, + "loss": 0.6039, + "step": 2237 + }, + { + "epoch": 11.19, + "learning_rate": 1.2645378151260505e-05, + "loss": 0.2655, + "step": 2238 + }, + { + "epoch": 11.2, + "learning_rate": 1.264201680672269e-05, + "loss": 0.2552, + "step": 2239 + }, + { + "epoch": 11.2, + "learning_rate": 1.2638655462184874e-05, + "loss": 1.4169, + "step": 2240 + }, + { + "epoch": 11.21, + "learning_rate": 1.2635294117647058e-05, + "loss": 0.1269, + "step": 2241 + }, + { + "epoch": 11.21, + "learning_rate": 1.2631932773109246e-05, + "loss": 0.2237, + "step": 2242 + }, + { + "epoch": 11.21, + "learning_rate": 1.262857142857143e-05, + "loss": 0.3465, + "step": 2243 + }, + { + "epoch": 11.22, + "learning_rate": 1.2625210084033615e-05, + "loss": 0.7099, + "step": 2244 + }, + { + "epoch": 11.22, + "learning_rate": 1.2621848739495799e-05, + "loss": 1.0428, + "step": 2245 + }, + { + "epoch": 11.23, + "learning_rate": 1.2618487394957983e-05, + "loss": 0.7814, + "step": 2246 + }, + { + "epoch": 11.23, + "learning_rate": 1.261512605042017e-05, + "loss": 0.4231, + "step": 2247 + }, + { + "epoch": 11.24, + "learning_rate": 1.2611764705882354e-05, + "loss": 0.2588, + "step": 2248 + }, + { + "epoch": 11.24, + "learning_rate": 1.260840336134454e-05, + "loss": 0.3175, + "step": 2249 + }, + { + "epoch": 11.25, + "learning_rate": 1.2605042016806723e-05, + "loss": 0.7295, + "step": 2250 + }, + { + "epoch": 11.26, + "learning_rate": 1.2601680672268909e-05, + "loss": 0.2822, + "step": 2251 + }, + { + "epoch": 11.26, + "learning_rate": 1.2598319327731094e-05, + "loss": 0.1515, + "step": 2252 + }, + { + "epoch": 11.27, + "learning_rate": 1.259495798319328e-05, + "loss": 1.7507, + "step": 2253 + }, + { + "epoch": 11.27, + "learning_rate": 1.2591596638655463e-05, + "loss": 0.6788, + "step": 2254 + }, + { + "epoch": 11.28, + "learning_rate": 1.2588235294117647e-05, + "loss": 0.2161, + "step": 2255 + }, + { + "epoch": 11.28, + "learning_rate": 1.2584873949579833e-05, + "loss": 0.1728, + "step": 2256 + }, + { + "epoch": 11.29, + "learning_rate": 1.2581512605042018e-05, + "loss": 0.1805, + "step": 2257 + }, + { + "epoch": 11.29, + "learning_rate": 1.2578151260504204e-05, + "loss": 0.1619, + "step": 2258 + }, + { + "epoch": 11.29, + "learning_rate": 1.2574789915966388e-05, + "loss": 0.1557, + "step": 2259 + }, + { + "epoch": 11.3, + "learning_rate": 1.2571428571428572e-05, + "loss": 1.1649, + "step": 2260 + }, + { + "epoch": 11.3, + "learning_rate": 1.2568067226890757e-05, + "loss": 0.1684, + "step": 2261 + }, + { + "epoch": 11.31, + "learning_rate": 1.2564705882352943e-05, + "loss": 0.3175, + "step": 2262 + }, + { + "epoch": 11.31, + "learning_rate": 1.2561344537815128e-05, + "loss": 0.3186, + "step": 2263 + }, + { + "epoch": 11.32, + "learning_rate": 1.2557983193277312e-05, + "loss": 0.206, + "step": 2264 + }, + { + "epoch": 11.32, + "learning_rate": 1.2554621848739496e-05, + "loss": 0.3372, + "step": 2265 + }, + { + "epoch": 11.33, + "learning_rate": 1.2551260504201681e-05, + "loss": 1.9231, + "step": 2266 + }, + { + "epoch": 11.34, + "learning_rate": 1.2547899159663865e-05, + "loss": 0.219, + "step": 2267 + }, + { + "epoch": 11.34, + "learning_rate": 1.2544537815126052e-05, + "loss": 0.5086, + "step": 2268 + }, + { + "epoch": 11.35, + "learning_rate": 1.2541176470588236e-05, + "loss": 0.0961, + "step": 2269 + }, + { + "epoch": 11.35, + "learning_rate": 1.2537815126050422e-05, + "loss": 0.2345, + "step": 2270 + }, + { + "epoch": 11.36, + "learning_rate": 1.2534453781512606e-05, + "loss": 1.0892, + "step": 2271 + }, + { + "epoch": 11.36, + "learning_rate": 1.253109243697479e-05, + "loss": 1.0206, + "step": 2272 + }, + { + "epoch": 11.37, + "learning_rate": 1.2527731092436977e-05, + "loss": 0.884, + "step": 2273 + }, + { + "epoch": 11.37, + "learning_rate": 1.252436974789916e-05, + "loss": 0.8604, + "step": 2274 + }, + { + "epoch": 11.38, + "learning_rate": 1.2521008403361346e-05, + "loss": 1.1256, + "step": 2275 + }, + { + "epoch": 11.38, + "learning_rate": 1.251764705882353e-05, + "loss": 1.393, + "step": 2276 + }, + { + "epoch": 11.38, + "learning_rate": 1.2514285714285714e-05, + "loss": 0.176, + "step": 2277 + }, + { + "epoch": 11.39, + "learning_rate": 1.2510924369747901e-05, + "loss": 0.5012, + "step": 2278 + }, + { + "epoch": 11.39, + "learning_rate": 1.2507563025210085e-05, + "loss": 1.5387, + "step": 2279 + }, + { + "epoch": 11.4, + "learning_rate": 1.250420168067227e-05, + "loss": 0.2746, + "step": 2280 + }, + { + "epoch": 11.4, + "learning_rate": 1.2500840336134454e-05, + "loss": 1.3979, + "step": 2281 + }, + { + "epoch": 11.41, + "learning_rate": 1.2497478991596638e-05, + "loss": 0.5941, + "step": 2282 + }, + { + "epoch": 11.41, + "learning_rate": 1.2494117647058825e-05, + "loss": 0.2876, + "step": 2283 + }, + { + "epoch": 11.42, + "learning_rate": 1.2490756302521009e-05, + "loss": 0.3, + "step": 2284 + }, + { + "epoch": 11.43, + "learning_rate": 1.2487394957983195e-05, + "loss": 1.2116, + "step": 2285 + }, + { + "epoch": 11.43, + "learning_rate": 1.2484033613445378e-05, + "loss": 0.1765, + "step": 2286 + }, + { + "epoch": 11.44, + "learning_rate": 1.2480672268907564e-05, + "loss": 0.2225, + "step": 2287 + }, + { + "epoch": 11.44, + "learning_rate": 1.247731092436975e-05, + "loss": 0.2414, + "step": 2288 + }, + { + "epoch": 11.45, + "learning_rate": 1.2473949579831935e-05, + "loss": 1.0299, + "step": 2289 + }, + { + "epoch": 11.45, + "learning_rate": 1.2470588235294119e-05, + "loss": 0.7756, + "step": 2290 + }, + { + "epoch": 11.46, + "learning_rate": 1.2467226890756303e-05, + "loss": 0.671, + "step": 2291 + }, + { + "epoch": 11.46, + "learning_rate": 1.2463865546218488e-05, + "loss": 0.6979, + "step": 2292 + }, + { + "epoch": 11.46, + "learning_rate": 1.2460504201680674e-05, + "loss": 0.5227, + "step": 2293 + }, + { + "epoch": 11.47, + "learning_rate": 1.245714285714286e-05, + "loss": 1.1352, + "step": 2294 + }, + { + "epoch": 11.47, + "learning_rate": 1.2453781512605043e-05, + "loss": 0.162, + "step": 2295 + }, + { + "epoch": 11.48, + "learning_rate": 1.2450420168067227e-05, + "loss": 0.7193, + "step": 2296 + }, + { + "epoch": 11.48, + "learning_rate": 1.2447058823529413e-05, + "loss": 0.135, + "step": 2297 + }, + { + "epoch": 11.49, + "learning_rate": 1.2443697478991598e-05, + "loss": 0.8801, + "step": 2298 + }, + { + "epoch": 11.49, + "learning_rate": 1.2440336134453784e-05, + "loss": 0.1261, + "step": 2299 + }, + { + "epoch": 11.5, + "learning_rate": 1.2436974789915967e-05, + "loss": 0.4716, + "step": 2300 + }, + { + "epoch": 11.51, + "learning_rate": 1.2433613445378151e-05, + "loss": 0.3268, + "step": 2301 + }, + { + "epoch": 11.51, + "learning_rate": 1.2430252100840337e-05, + "loss": 0.2728, + "step": 2302 + }, + { + "epoch": 11.52, + "learning_rate": 1.242689075630252e-05, + "loss": 0.2946, + "step": 2303 + }, + { + "epoch": 11.52, + "learning_rate": 1.2423529411764708e-05, + "loss": 2.0252, + "step": 2304 + }, + { + "epoch": 11.53, + "learning_rate": 1.2420168067226892e-05, + "loss": 0.2662, + "step": 2305 + }, + { + "epoch": 11.53, + "learning_rate": 1.2416806722689077e-05, + "loss": 0.8925, + "step": 2306 + }, + { + "epoch": 11.54, + "learning_rate": 1.2413445378151261e-05, + "loss": 0.3948, + "step": 2307 + }, + { + "epoch": 11.54, + "learning_rate": 1.2410084033613445e-05, + "loss": 0.2903, + "step": 2308 + }, + { + "epoch": 11.54, + "learning_rate": 1.2406722689075632e-05, + "loss": 0.5539, + "step": 2309 + }, + { + "epoch": 11.55, + "learning_rate": 1.2403361344537816e-05, + "loss": 0.9827, + "step": 2310 + }, + { + "epoch": 11.55, + "learning_rate": 1.2400000000000002e-05, + "loss": 1.0409, + "step": 2311 + }, + { + "epoch": 11.56, + "learning_rate": 1.2396638655462185e-05, + "loss": 0.5489, + "step": 2312 + }, + { + "epoch": 11.56, + "learning_rate": 1.239327731092437e-05, + "loss": 0.726, + "step": 2313 + }, + { + "epoch": 11.57, + "learning_rate": 1.2389915966386556e-05, + "loss": 0.3537, + "step": 2314 + }, + { + "epoch": 11.57, + "learning_rate": 1.238655462184874e-05, + "loss": 0.2001, + "step": 2315 + }, + { + "epoch": 11.58, + "learning_rate": 1.2383193277310926e-05, + "loss": 0.4553, + "step": 2316 + }, + { + "epoch": 11.59, + "learning_rate": 1.237983193277311e-05, + "loss": 0.176, + "step": 2317 + }, + { + "epoch": 11.59, + "learning_rate": 1.2376470588235294e-05, + "loss": 0.8607, + "step": 2318 + }, + { + "epoch": 11.6, + "learning_rate": 1.237310924369748e-05, + "loss": 0.4809, + "step": 2319 + }, + { + "epoch": 11.6, + "learning_rate": 1.2369747899159665e-05, + "loss": 0.2035, + "step": 2320 + }, + { + "epoch": 11.61, + "learning_rate": 1.236638655462185e-05, + "loss": 0.2613, + "step": 2321 + }, + { + "epoch": 11.61, + "learning_rate": 1.2363025210084034e-05, + "loss": 0.5352, + "step": 2322 + }, + { + "epoch": 11.62, + "learning_rate": 1.235966386554622e-05, + "loss": 1.008, + "step": 2323 + }, + { + "epoch": 11.62, + "learning_rate": 1.2356302521008405e-05, + "loss": 0.8335, + "step": 2324 + }, + { + "epoch": 11.62, + "learning_rate": 1.235294117647059e-05, + "loss": 0.89, + "step": 2325 + }, + { + "epoch": 11.63, + "learning_rate": 1.2349579831932774e-05, + "loss": 0.4681, + "step": 2326 + }, + { + "epoch": 11.63, + "learning_rate": 1.2346218487394958e-05, + "loss": 0.8572, + "step": 2327 + }, + { + "epoch": 11.64, + "learning_rate": 1.2342857142857144e-05, + "loss": 0.163, + "step": 2328 + }, + { + "epoch": 11.64, + "learning_rate": 1.233949579831933e-05, + "loss": 1.8986, + "step": 2329 + }, + { + "epoch": 11.65, + "learning_rate": 1.2336134453781515e-05, + "loss": 0.1019, + "step": 2330 + }, + { + "epoch": 11.65, + "learning_rate": 1.2332773109243699e-05, + "loss": 0.275, + "step": 2331 + }, + { + "epoch": 11.66, + "learning_rate": 1.2329411764705882e-05, + "loss": 1.221, + "step": 2332 + }, + { + "epoch": 11.66, + "learning_rate": 1.2326050420168068e-05, + "loss": 0.2853, + "step": 2333 + }, + { + "epoch": 11.67, + "learning_rate": 1.2322689075630254e-05, + "loss": 0.2311, + "step": 2334 + }, + { + "epoch": 11.68, + "learning_rate": 1.2319327731092439e-05, + "loss": 0.9586, + "step": 2335 + }, + { + "epoch": 11.68, + "learning_rate": 1.2315966386554623e-05, + "loss": 0.289, + "step": 2336 + }, + { + "epoch": 11.69, + "learning_rate": 1.2312605042016807e-05, + "loss": 0.9532, + "step": 2337 + }, + { + "epoch": 11.69, + "learning_rate": 1.2309243697478992e-05, + "loss": 0.8137, + "step": 2338 + }, + { + "epoch": 11.7, + "learning_rate": 1.2305882352941176e-05, + "loss": 0.4697, + "step": 2339 + }, + { + "epoch": 11.7, + "learning_rate": 1.2302521008403363e-05, + "loss": 0.5025, + "step": 2340 + }, + { + "epoch": 11.71, + "learning_rate": 1.2299159663865547e-05, + "loss": 0.1708, + "step": 2341 + }, + { + "epoch": 11.71, + "learning_rate": 1.2295798319327733e-05, + "loss": 0.1438, + "step": 2342 + }, + { + "epoch": 11.71, + "learning_rate": 1.2292436974789917e-05, + "loss": 0.1895, + "step": 2343 + }, + { + "epoch": 11.72, + "learning_rate": 1.22890756302521e-05, + "loss": 0.5907, + "step": 2344 + }, + { + "epoch": 11.72, + "learning_rate": 1.2285714285714288e-05, + "loss": 0.2807, + "step": 2345 + }, + { + "epoch": 11.73, + "learning_rate": 1.2282352941176471e-05, + "loss": 0.2006, + "step": 2346 + }, + { + "epoch": 11.73, + "learning_rate": 1.2278991596638657e-05, + "loss": 0.138, + "step": 2347 + }, + { + "epoch": 11.74, + "learning_rate": 1.2275630252100841e-05, + "loss": 0.2244, + "step": 2348 + }, + { + "epoch": 11.74, + "learning_rate": 1.2272268907563025e-05, + "loss": 2.2689, + "step": 2349 + }, + { + "epoch": 11.75, + "learning_rate": 1.2268907563025212e-05, + "loss": 0.6949, + "step": 2350 + }, + { + "epoch": 11.76, + "learning_rate": 1.2265546218487396e-05, + "loss": 0.5349, + "step": 2351 + }, + { + "epoch": 11.76, + "learning_rate": 1.2262184873949581e-05, + "loss": 0.1582, + "step": 2352 + }, + { + "epoch": 11.77, + "learning_rate": 1.2258823529411765e-05, + "loss": 1.1699, + "step": 2353 + }, + { + "epoch": 11.77, + "learning_rate": 1.2255462184873949e-05, + "loss": 0.7309, + "step": 2354 + }, + { + "epoch": 11.78, + "learning_rate": 1.2252100840336136e-05, + "loss": 0.8501, + "step": 2355 + }, + { + "epoch": 11.78, + "learning_rate": 1.224873949579832e-05, + "loss": 0.2461, + "step": 2356 + }, + { + "epoch": 11.79, + "learning_rate": 1.2245378151260506e-05, + "loss": 0.1582, + "step": 2357 + }, + { + "epoch": 11.79, + "learning_rate": 1.224201680672269e-05, + "loss": 1.3017, + "step": 2358 + }, + { + "epoch": 11.79, + "learning_rate": 1.2238655462184875e-05, + "loss": 0.2951, + "step": 2359 + }, + { + "epoch": 11.8, + "learning_rate": 1.223529411764706e-05, + "loss": 0.4381, + "step": 2360 + }, + { + "epoch": 11.8, + "learning_rate": 1.2231932773109246e-05, + "loss": 0.8483, + "step": 2361 + }, + { + "epoch": 11.81, + "learning_rate": 1.222857142857143e-05, + "loss": 0.2286, + "step": 2362 + }, + { + "epoch": 11.81, + "learning_rate": 1.2225210084033614e-05, + "loss": 0.283, + "step": 2363 + }, + { + "epoch": 11.82, + "learning_rate": 1.22218487394958e-05, + "loss": 0.3708, + "step": 2364 + }, + { + "epoch": 11.82, + "learning_rate": 1.2218487394957985e-05, + "loss": 0.3677, + "step": 2365 + }, + { + "epoch": 11.83, + "learning_rate": 1.221512605042017e-05, + "loss": 0.7362, + "step": 2366 + }, + { + "epoch": 11.84, + "learning_rate": 1.2211764705882354e-05, + "loss": 0.9726, + "step": 2367 + }, + { + "epoch": 11.84, + "learning_rate": 1.2208403361344538e-05, + "loss": 0.2972, + "step": 2368 + }, + { + "epoch": 11.85, + "learning_rate": 1.2205042016806723e-05, + "loss": 0.5049, + "step": 2369 + }, + { + "epoch": 11.85, + "learning_rate": 1.2201680672268909e-05, + "loss": 0.1415, + "step": 2370 + }, + { + "epoch": 11.86, + "learning_rate": 1.2198319327731095e-05, + "loss": 1.1301, + "step": 2371 + }, + { + "epoch": 11.86, + "learning_rate": 1.2194957983193278e-05, + "loss": 1.1612, + "step": 2372 + }, + { + "epoch": 11.87, + "learning_rate": 1.2191596638655462e-05, + "loss": 0.2056, + "step": 2373 + }, + { + "epoch": 11.87, + "learning_rate": 1.2188235294117648e-05, + "loss": 0.1659, + "step": 2374 + }, + { + "epoch": 11.88, + "learning_rate": 1.2184873949579832e-05, + "loss": 1.2033, + "step": 2375 + }, + { + "epoch": 11.88, + "learning_rate": 1.2181512605042019e-05, + "loss": 0.2575, + "step": 2376 + }, + { + "epoch": 11.88, + "learning_rate": 1.2178151260504203e-05, + "loss": 1.1342, + "step": 2377 + }, + { + "epoch": 11.89, + "learning_rate": 1.2174789915966388e-05, + "loss": 0.893, + "step": 2378 + }, + { + "epoch": 11.89, + "learning_rate": 1.2171428571428572e-05, + "loss": 0.2614, + "step": 2379 + }, + { + "epoch": 11.9, + "learning_rate": 1.2168067226890756e-05, + "loss": 0.4899, + "step": 2380 + }, + { + "epoch": 11.9, + "learning_rate": 1.2164705882352943e-05, + "loss": 0.2694, + "step": 2381 + }, + { + "epoch": 11.91, + "learning_rate": 1.2161344537815127e-05, + "loss": 0.2296, + "step": 2382 + }, + { + "epoch": 11.91, + "learning_rate": 1.2157983193277312e-05, + "loss": 0.1859, + "step": 2383 + }, + { + "epoch": 11.92, + "learning_rate": 1.2154621848739496e-05, + "loss": 0.1335, + "step": 2384 + }, + { + "epoch": 11.93, + "learning_rate": 1.215126050420168e-05, + "loss": 0.8625, + "step": 2385 + }, + { + "epoch": 11.93, + "learning_rate": 1.2147899159663867e-05, + "loss": 0.3238, + "step": 2386 + }, + { + "epoch": 11.94, + "learning_rate": 1.2144537815126051e-05, + "loss": 0.4523, + "step": 2387 + }, + { + "epoch": 11.94, + "learning_rate": 1.2141176470588237e-05, + "loss": 0.6623, + "step": 2388 + }, + { + "epoch": 11.95, + "learning_rate": 1.213781512605042e-05, + "loss": 1.0031, + "step": 2389 + }, + { + "epoch": 11.95, + "learning_rate": 1.2134453781512604e-05, + "loss": 0.1485, + "step": 2390 + }, + { + "epoch": 11.96, + "learning_rate": 1.2131092436974792e-05, + "loss": 1.0318, + "step": 2391 + }, + { + "epoch": 11.96, + "learning_rate": 1.2127731092436975e-05, + "loss": 0.5817, + "step": 2392 + }, + { + "epoch": 11.96, + "learning_rate": 1.2124369747899161e-05, + "loss": 0.3055, + "step": 2393 + }, + { + "epoch": 11.97, + "learning_rate": 1.2121008403361345e-05, + "loss": 0.1866, + "step": 2394 + }, + { + "epoch": 11.97, + "learning_rate": 1.211764705882353e-05, + "loss": 0.1183, + "step": 2395 + }, + { + "epoch": 11.98, + "learning_rate": 1.2114285714285716e-05, + "loss": 0.204, + "step": 2396 + }, + { + "epoch": 11.98, + "learning_rate": 1.2110924369747901e-05, + "loss": 0.5364, + "step": 2397 + }, + { + "epoch": 11.99, + "learning_rate": 1.2107563025210085e-05, + "loss": 0.1997, + "step": 2398 + }, + { + "epoch": 11.99, + "learning_rate": 1.2104201680672269e-05, + "loss": 1.2727, + "step": 2399 + }, + { + "epoch": 12.0, + "learning_rate": 1.2100840336134455e-05, + "loss": 1.9034, + "step": 2400 + }, + { + "epoch": 12.0, + "eval_accuracy": 0.78, + "eval_loss": 0.8150628805160522, + "eval_roc_auc": 0.9587684347161591, + "eval_runtime": 59.1817, + "eval_samples_per_second": 3.379, + "eval_steps_per_second": 0.845, + "step": 2400 + }, + { + "epoch": 12.01, + "learning_rate": 1.209747899159664e-05, + "loss": 0.7874, + "step": 2401 + }, + { + "epoch": 12.01, + "learning_rate": 1.2094117647058826e-05, + "loss": 0.3495, + "step": 2402 + }, + { + "epoch": 12.02, + "learning_rate": 1.209075630252101e-05, + "loss": 0.2354, + "step": 2403 + }, + { + "epoch": 12.02, + "learning_rate": 1.2087394957983193e-05, + "loss": 0.2247, + "step": 2404 + }, + { + "epoch": 12.03, + "learning_rate": 1.2084033613445379e-05, + "loss": 1.9944, + "step": 2405 + }, + { + "epoch": 12.03, + "learning_rate": 1.2080672268907564e-05, + "loss": 0.4441, + "step": 2406 + }, + { + "epoch": 12.04, + "learning_rate": 1.207731092436975e-05, + "loss": 0.2146, + "step": 2407 + }, + { + "epoch": 12.04, + "learning_rate": 1.2073949579831934e-05, + "loss": 0.1984, + "step": 2408 + }, + { + "epoch": 12.04, + "learning_rate": 1.2070588235294118e-05, + "loss": 0.2073, + "step": 2409 + }, + { + "epoch": 12.05, + "learning_rate": 1.2067226890756303e-05, + "loss": 0.9776, + "step": 2410 + }, + { + "epoch": 12.05, + "learning_rate": 1.2063865546218489e-05, + "loss": 0.1497, + "step": 2411 + }, + { + "epoch": 12.06, + "learning_rate": 1.2060504201680674e-05, + "loss": 0.6315, + "step": 2412 + }, + { + "epoch": 12.06, + "learning_rate": 1.2057142857142858e-05, + "loss": 0.2232, + "step": 2413 + }, + { + "epoch": 12.07, + "learning_rate": 1.2053781512605044e-05, + "loss": 0.0782, + "step": 2414 + }, + { + "epoch": 12.07, + "learning_rate": 1.2050420168067227e-05, + "loss": 0.5936, + "step": 2415 + }, + { + "epoch": 12.08, + "learning_rate": 1.2047058823529411e-05, + "loss": 0.0961, + "step": 2416 + }, + { + "epoch": 12.09, + "learning_rate": 1.2043697478991599e-05, + "loss": 0.5726, + "step": 2417 + }, + { + "epoch": 12.09, + "learning_rate": 1.2040336134453782e-05, + "loss": 0.2345, + "step": 2418 + }, + { + "epoch": 12.1, + "learning_rate": 1.2036974789915968e-05, + "loss": 0.3164, + "step": 2419 + }, + { + "epoch": 12.1, + "learning_rate": 1.2033613445378152e-05, + "loss": 0.2729, + "step": 2420 + }, + { + "epoch": 12.11, + "learning_rate": 1.2030252100840336e-05, + "loss": 0.2969, + "step": 2421 + }, + { + "epoch": 12.11, + "learning_rate": 1.2026890756302523e-05, + "loss": 0.2046, + "step": 2422 + }, + { + "epoch": 12.12, + "learning_rate": 1.2023529411764707e-05, + "loss": 1.3637, + "step": 2423 + }, + { + "epoch": 12.12, + "learning_rate": 1.2020168067226892e-05, + "loss": 0.124, + "step": 2424 + }, + { + "epoch": 12.12, + "learning_rate": 1.2016806722689076e-05, + "loss": 0.1795, + "step": 2425 + }, + { + "epoch": 12.13, + "learning_rate": 1.201344537815126e-05, + "loss": 0.1841, + "step": 2426 + }, + { + "epoch": 12.13, + "learning_rate": 1.2010084033613447e-05, + "loss": 0.1595, + "step": 2427 + }, + { + "epoch": 12.14, + "learning_rate": 1.2006722689075631e-05, + "loss": 0.6382, + "step": 2428 + }, + { + "epoch": 12.14, + "learning_rate": 1.2003361344537816e-05, + "loss": 0.8969, + "step": 2429 + }, + { + "epoch": 12.15, + "learning_rate": 1.2e-05, + "loss": 0.7444, + "step": 2430 + }, + { + "epoch": 12.15, + "learning_rate": 1.1996638655462184e-05, + "loss": 0.2424, + "step": 2431 + }, + { + "epoch": 12.16, + "learning_rate": 1.1993277310924371e-05, + "loss": 0.1441, + "step": 2432 + }, + { + "epoch": 12.16, + "learning_rate": 1.1989915966386557e-05, + "loss": 0.3415, + "step": 2433 + }, + { + "epoch": 12.17, + "learning_rate": 1.198655462184874e-05, + "loss": 0.2258, + "step": 2434 + }, + { + "epoch": 12.18, + "learning_rate": 1.1983193277310925e-05, + "loss": 0.6712, + "step": 2435 + }, + { + "epoch": 12.18, + "learning_rate": 1.197983193277311e-05, + "loss": 0.1193, + "step": 2436 + }, + { + "epoch": 12.19, + "learning_rate": 1.1976470588235296e-05, + "loss": 0.2161, + "step": 2437 + }, + { + "epoch": 12.19, + "learning_rate": 1.1973109243697481e-05, + "loss": 1.6267, + "step": 2438 + }, + { + "epoch": 12.2, + "learning_rate": 1.1969747899159665e-05, + "loss": 0.1787, + "step": 2439 + }, + { + "epoch": 12.2, + "learning_rate": 1.1966386554621849e-05, + "loss": 0.1752, + "step": 2440 + }, + { + "epoch": 12.21, + "learning_rate": 1.1963025210084034e-05, + "loss": 0.1343, + "step": 2441 + }, + { + "epoch": 12.21, + "learning_rate": 1.195966386554622e-05, + "loss": 0.3314, + "step": 2442 + }, + { + "epoch": 12.21, + "learning_rate": 1.1956302521008405e-05, + "loss": 0.0887, + "step": 2443 + }, + { + "epoch": 12.22, + "learning_rate": 1.195294117647059e-05, + "loss": 0.9011, + "step": 2444 + }, + { + "epoch": 12.22, + "learning_rate": 1.1949579831932773e-05, + "loss": 0.7996, + "step": 2445 + }, + { + "epoch": 12.23, + "learning_rate": 1.1946218487394959e-05, + "loss": 0.1236, + "step": 2446 + }, + { + "epoch": 12.23, + "learning_rate": 1.1942857142857144e-05, + "loss": 1.5275, + "step": 2447 + }, + { + "epoch": 12.24, + "learning_rate": 1.193949579831933e-05, + "loss": 0.1213, + "step": 2448 + }, + { + "epoch": 12.24, + "learning_rate": 1.1936134453781514e-05, + "loss": 0.5839, + "step": 2449 + }, + { + "epoch": 12.25, + "learning_rate": 1.1932773109243699e-05, + "loss": 0.2023, + "step": 2450 + }, + { + "epoch": 12.26, + "learning_rate": 1.1929411764705883e-05, + "loss": 1.0902, + "step": 2451 + }, + { + "epoch": 12.26, + "learning_rate": 1.1926050420168067e-05, + "loss": 0.1354, + "step": 2452 + }, + { + "epoch": 12.27, + "learning_rate": 1.1922689075630254e-05, + "loss": 0.2513, + "step": 2453 + }, + { + "epoch": 12.27, + "learning_rate": 1.1919327731092438e-05, + "loss": 0.8228, + "step": 2454 + }, + { + "epoch": 12.28, + "learning_rate": 1.1915966386554623e-05, + "loss": 1.5302, + "step": 2455 + }, + { + "epoch": 12.28, + "learning_rate": 1.1912605042016807e-05, + "loss": 0.2257, + "step": 2456 + }, + { + "epoch": 12.29, + "learning_rate": 1.1909243697478991e-05, + "loss": 1.035, + "step": 2457 + }, + { + "epoch": 12.29, + "learning_rate": 1.1905882352941178e-05, + "loss": 1.0246, + "step": 2458 + }, + { + "epoch": 12.29, + "learning_rate": 1.1902521008403362e-05, + "loss": 0.289, + "step": 2459 + }, + { + "epoch": 12.3, + "learning_rate": 1.1899159663865548e-05, + "loss": 0.0964, + "step": 2460 + }, + { + "epoch": 12.3, + "learning_rate": 1.1895798319327731e-05, + "loss": 0.667, + "step": 2461 + }, + { + "epoch": 12.31, + "learning_rate": 1.1892436974789915e-05, + "loss": 0.5749, + "step": 2462 + }, + { + "epoch": 12.31, + "learning_rate": 1.1889075630252103e-05, + "loss": 1.4209, + "step": 2463 + }, + { + "epoch": 12.32, + "learning_rate": 1.1885714285714286e-05, + "loss": 1.1562, + "step": 2464 + }, + { + "epoch": 12.32, + "learning_rate": 1.1882352941176472e-05, + "loss": 0.1867, + "step": 2465 + }, + { + "epoch": 12.33, + "learning_rate": 1.1878991596638656e-05, + "loss": 0.213, + "step": 2466 + }, + { + "epoch": 12.34, + "learning_rate": 1.187563025210084e-05, + "loss": 0.2232, + "step": 2467 + }, + { + "epoch": 12.34, + "learning_rate": 1.1872268907563027e-05, + "loss": 0.6858, + "step": 2468 + }, + { + "epoch": 12.35, + "learning_rate": 1.1868907563025212e-05, + "loss": 0.4593, + "step": 2469 + }, + { + "epoch": 12.35, + "learning_rate": 1.1865546218487396e-05, + "loss": 0.4933, + "step": 2470 + }, + { + "epoch": 12.36, + "learning_rate": 1.186218487394958e-05, + "loss": 0.1759, + "step": 2471 + }, + { + "epoch": 12.36, + "learning_rate": 1.1858823529411766e-05, + "loss": 0.0764, + "step": 2472 + }, + { + "epoch": 12.37, + "learning_rate": 1.1855462184873951e-05, + "loss": 0.2742, + "step": 2473 + }, + { + "epoch": 12.37, + "learning_rate": 1.1852100840336137e-05, + "loss": 0.0893, + "step": 2474 + }, + { + "epoch": 12.38, + "learning_rate": 1.184873949579832e-05, + "loss": 0.7103, + "step": 2475 + }, + { + "epoch": 12.38, + "learning_rate": 1.1845378151260504e-05, + "loss": 0.1885, + "step": 2476 + }, + { + "epoch": 12.38, + "learning_rate": 1.184201680672269e-05, + "loss": 0.758, + "step": 2477 + }, + { + "epoch": 12.39, + "learning_rate": 1.1838655462184875e-05, + "loss": 0.2476, + "step": 2478 + }, + { + "epoch": 12.39, + "learning_rate": 1.1835294117647061e-05, + "loss": 0.8062, + "step": 2479 + }, + { + "epoch": 12.4, + "learning_rate": 1.1831932773109245e-05, + "loss": 0.154, + "step": 2480 + }, + { + "epoch": 12.4, + "learning_rate": 1.1828571428571429e-05, + "loss": 0.0913, + "step": 2481 + }, + { + "epoch": 12.41, + "learning_rate": 1.1825210084033614e-05, + "loss": 0.3851, + "step": 2482 + }, + { + "epoch": 12.41, + "learning_rate": 1.18218487394958e-05, + "loss": 0.2698, + "step": 2483 + }, + { + "epoch": 12.42, + "learning_rate": 1.1818487394957985e-05, + "loss": 0.8444, + "step": 2484 + }, + { + "epoch": 12.43, + "learning_rate": 1.1815126050420169e-05, + "loss": 0.2577, + "step": 2485 + }, + { + "epoch": 12.43, + "learning_rate": 1.1811764705882353e-05, + "loss": 0.1917, + "step": 2486 + }, + { + "epoch": 12.44, + "learning_rate": 1.1808403361344538e-05, + "loss": 0.4722, + "step": 2487 + }, + { + "epoch": 12.44, + "learning_rate": 1.1805042016806722e-05, + "loss": 0.3062, + "step": 2488 + }, + { + "epoch": 12.45, + "learning_rate": 1.180168067226891e-05, + "loss": 1.9359, + "step": 2489 + }, + { + "epoch": 12.45, + "learning_rate": 1.1798319327731093e-05, + "loss": 0.161, + "step": 2490 + }, + { + "epoch": 12.46, + "learning_rate": 1.1794957983193279e-05, + "loss": 0.3637, + "step": 2491 + }, + { + "epoch": 12.46, + "learning_rate": 1.1791596638655463e-05, + "loss": 0.1116, + "step": 2492 + }, + { + "epoch": 12.46, + "learning_rate": 1.1788235294117647e-05, + "loss": 0.147, + "step": 2493 + }, + { + "epoch": 12.47, + "learning_rate": 1.1784873949579834e-05, + "loss": 2.6362, + "step": 2494 + }, + { + "epoch": 12.47, + "learning_rate": 1.1781512605042018e-05, + "loss": 1.0113, + "step": 2495 + }, + { + "epoch": 12.48, + "learning_rate": 1.1778151260504203e-05, + "loss": 0.0983, + "step": 2496 + }, + { + "epoch": 12.48, + "learning_rate": 1.1774789915966387e-05, + "loss": 0.2139, + "step": 2497 + }, + { + "epoch": 12.49, + "learning_rate": 1.177142857142857e-05, + "loss": 0.5078, + "step": 2498 + }, + { + "epoch": 12.49, + "learning_rate": 1.1768067226890758e-05, + "loss": 0.1903, + "step": 2499 + }, + { + "epoch": 12.5, + "learning_rate": 1.1764705882352942e-05, + "loss": 0.2709, + "step": 2500 + }, + { + "epoch": 12.51, + "learning_rate": 1.1761344537815127e-05, + "loss": 0.8302, + "step": 2501 + }, + { + "epoch": 12.51, + "learning_rate": 1.1757983193277311e-05, + "loss": 0.5666, + "step": 2502 + }, + { + "epoch": 12.52, + "learning_rate": 1.1754621848739495e-05, + "loss": 0.5028, + "step": 2503 + }, + { + "epoch": 12.52, + "learning_rate": 1.1751260504201682e-05, + "loss": 0.1254, + "step": 2504 + }, + { + "epoch": 12.53, + "learning_rate": 1.1747899159663866e-05, + "loss": 0.15, + "step": 2505 + }, + { + "epoch": 12.53, + "learning_rate": 1.1744537815126052e-05, + "loss": 0.1003, + "step": 2506 + }, + { + "epoch": 12.54, + "learning_rate": 1.1741176470588235e-05, + "loss": 1.833, + "step": 2507 + }, + { + "epoch": 12.54, + "learning_rate": 1.1737815126050421e-05, + "loss": 1.1499, + "step": 2508 + }, + { + "epoch": 12.54, + "learning_rate": 1.1734453781512607e-05, + "loss": 0.3594, + "step": 2509 + }, + { + "epoch": 12.55, + "learning_rate": 1.1731092436974792e-05, + "loss": 0.1395, + "step": 2510 + }, + { + "epoch": 12.55, + "learning_rate": 1.1727731092436976e-05, + "loss": 0.943, + "step": 2511 + }, + { + "epoch": 12.56, + "learning_rate": 1.172436974789916e-05, + "loss": 0.295, + "step": 2512 + }, + { + "epoch": 12.56, + "learning_rate": 1.1721008403361345e-05, + "loss": 0.3267, + "step": 2513 + }, + { + "epoch": 12.57, + "learning_rate": 1.171764705882353e-05, + "loss": 1.2538, + "step": 2514 + }, + { + "epoch": 12.57, + "learning_rate": 1.1714285714285716e-05, + "loss": 0.7984, + "step": 2515 + }, + { + "epoch": 12.58, + "learning_rate": 1.17109243697479e-05, + "loss": 0.0707, + "step": 2516 + }, + { + "epoch": 12.59, + "learning_rate": 1.1707563025210084e-05, + "loss": 1.2726, + "step": 2517 + }, + { + "epoch": 12.59, + "learning_rate": 1.170420168067227e-05, + "loss": 1.2587, + "step": 2518 + }, + { + "epoch": 12.6, + "learning_rate": 1.1700840336134455e-05, + "loss": 1.1823, + "step": 2519 + }, + { + "epoch": 12.6, + "learning_rate": 1.169747899159664e-05, + "loss": 0.168, + "step": 2520 + }, + { + "epoch": 12.61, + "learning_rate": 1.1694117647058824e-05, + "loss": 1.6237, + "step": 2521 + }, + { + "epoch": 12.61, + "learning_rate": 1.1690756302521008e-05, + "loss": 1.1848, + "step": 2522 + }, + { + "epoch": 12.62, + "learning_rate": 1.1687394957983194e-05, + "loss": 0.3733, + "step": 2523 + }, + { + "epoch": 12.62, + "learning_rate": 1.1684033613445378e-05, + "loss": 0.153, + "step": 2524 + }, + { + "epoch": 12.62, + "learning_rate": 1.1680672268907565e-05, + "loss": 0.1785, + "step": 2525 + }, + { + "epoch": 12.63, + "learning_rate": 1.1677310924369749e-05, + "loss": 0.0888, + "step": 2526 + }, + { + "epoch": 12.63, + "learning_rate": 1.1673949579831934e-05, + "loss": 0.2149, + "step": 2527 + }, + { + "epoch": 12.64, + "learning_rate": 1.1670588235294118e-05, + "loss": 1.8368, + "step": 2528 + }, + { + "epoch": 12.64, + "learning_rate": 1.1667226890756302e-05, + "loss": 0.1659, + "step": 2529 + }, + { + "epoch": 12.65, + "learning_rate": 1.166386554621849e-05, + "loss": 0.1267, + "step": 2530 + }, + { + "epoch": 12.65, + "learning_rate": 1.1660504201680673e-05, + "loss": 0.8371, + "step": 2531 + }, + { + "epoch": 12.66, + "learning_rate": 1.1657142857142859e-05, + "loss": 0.7335, + "step": 2532 + }, + { + "epoch": 12.66, + "learning_rate": 1.1653781512605042e-05, + "loss": 0.0794, + "step": 2533 + }, + { + "epoch": 12.67, + "learning_rate": 1.1650420168067226e-05, + "loss": 0.7426, + "step": 2534 + }, + { + "epoch": 12.68, + "learning_rate": 1.1647058823529413e-05, + "loss": 0.1175, + "step": 2535 + }, + { + "epoch": 12.68, + "learning_rate": 1.1643697478991597e-05, + "loss": 0.2587, + "step": 2536 + }, + { + "epoch": 12.69, + "learning_rate": 1.1640336134453783e-05, + "loss": 0.1624, + "step": 2537 + }, + { + "epoch": 12.69, + "learning_rate": 1.1636974789915967e-05, + "loss": 0.0929, + "step": 2538 + }, + { + "epoch": 12.7, + "learning_rate": 1.163361344537815e-05, + "loss": 0.99, + "step": 2539 + }, + { + "epoch": 12.7, + "learning_rate": 1.1630252100840338e-05, + "loss": 0.1523, + "step": 2540 + }, + { + "epoch": 12.71, + "learning_rate": 1.1626890756302522e-05, + "loss": 0.1196, + "step": 2541 + }, + { + "epoch": 12.71, + "learning_rate": 1.1623529411764707e-05, + "loss": 0.0862, + "step": 2542 + }, + { + "epoch": 12.71, + "learning_rate": 1.1620168067226891e-05, + "loss": 0.2728, + "step": 2543 + }, + { + "epoch": 12.72, + "learning_rate": 1.1616806722689076e-05, + "loss": 1.1009, + "step": 2544 + }, + { + "epoch": 12.72, + "learning_rate": 1.1613445378151262e-05, + "loss": 0.1903, + "step": 2545 + }, + { + "epoch": 12.73, + "learning_rate": 1.1610084033613448e-05, + "loss": 0.2425, + "step": 2546 + }, + { + "epoch": 12.73, + "learning_rate": 1.1606722689075631e-05, + "loss": 0.4643, + "step": 2547 + }, + { + "epoch": 12.74, + "learning_rate": 1.1603361344537815e-05, + "loss": 0.2997, + "step": 2548 + }, + { + "epoch": 12.74, + "learning_rate": 1.16e-05, + "loss": 0.1959, + "step": 2549 + }, + { + "epoch": 12.75, + "learning_rate": 1.1596638655462186e-05, + "loss": 0.0891, + "step": 2550 + }, + { + "epoch": 12.76, + "learning_rate": 1.1593277310924372e-05, + "loss": 0.1122, + "step": 2551 + }, + { + "epoch": 12.76, + "learning_rate": 1.1589915966386556e-05, + "loss": 1.4082, + "step": 2552 + }, + { + "epoch": 12.77, + "learning_rate": 1.158655462184874e-05, + "loss": 0.2072, + "step": 2553 + }, + { + "epoch": 12.77, + "learning_rate": 1.1583193277310925e-05, + "loss": 1.4772, + "step": 2554 + }, + { + "epoch": 12.78, + "learning_rate": 1.157983193277311e-05, + "loss": 0.8177, + "step": 2555 + }, + { + "epoch": 12.78, + "learning_rate": 1.1576470588235296e-05, + "loss": 0.1105, + "step": 2556 + }, + { + "epoch": 12.79, + "learning_rate": 1.157310924369748e-05, + "loss": 0.6991, + "step": 2557 + }, + { + "epoch": 12.79, + "learning_rate": 1.1569747899159664e-05, + "loss": 0.6248, + "step": 2558 + }, + { + "epoch": 12.79, + "learning_rate": 1.156638655462185e-05, + "loss": 1.5382, + "step": 2559 + }, + { + "epoch": 12.8, + "learning_rate": 1.1563025210084035e-05, + "loss": 0.1485, + "step": 2560 + }, + { + "epoch": 12.8, + "learning_rate": 1.155966386554622e-05, + "loss": 0.1254, + "step": 2561 + }, + { + "epoch": 12.81, + "learning_rate": 1.1556302521008404e-05, + "loss": 1.2424, + "step": 2562 + }, + { + "epoch": 12.81, + "learning_rate": 1.155294117647059e-05, + "loss": 0.578, + "step": 2563 + }, + { + "epoch": 12.82, + "learning_rate": 1.1549579831932774e-05, + "loss": 0.1499, + "step": 2564 + }, + { + "epoch": 12.82, + "learning_rate": 1.1546218487394957e-05, + "loss": 0.2839, + "step": 2565 + }, + { + "epoch": 12.83, + "learning_rate": 1.1542857142857145e-05, + "loss": 0.1507, + "step": 2566 + }, + { + "epoch": 12.84, + "learning_rate": 1.1539495798319328e-05, + "loss": 0.8621, + "step": 2567 + }, + { + "epoch": 12.84, + "learning_rate": 1.1536134453781514e-05, + "loss": 0.8439, + "step": 2568 + }, + { + "epoch": 12.85, + "learning_rate": 1.1532773109243698e-05, + "loss": 0.5891, + "step": 2569 + }, + { + "epoch": 12.85, + "learning_rate": 1.1529411764705882e-05, + "loss": 0.9181, + "step": 2570 + }, + { + "epoch": 12.86, + "learning_rate": 1.1526050420168069e-05, + "loss": 0.1247, + "step": 2571 + }, + { + "epoch": 12.86, + "learning_rate": 1.1522689075630253e-05, + "loss": 0.2451, + "step": 2572 + }, + { + "epoch": 12.87, + "learning_rate": 1.1519327731092438e-05, + "loss": 0.1359, + "step": 2573 + }, + { + "epoch": 12.87, + "learning_rate": 1.1515966386554622e-05, + "loss": 1.0504, + "step": 2574 + }, + { + "epoch": 12.88, + "learning_rate": 1.1512605042016806e-05, + "loss": 0.527, + "step": 2575 + }, + { + "epoch": 12.88, + "learning_rate": 1.1509243697478993e-05, + "loss": 0.4665, + "step": 2576 + }, + { + "epoch": 12.88, + "learning_rate": 1.1505882352941177e-05, + "loss": 0.1981, + "step": 2577 + }, + { + "epoch": 12.89, + "learning_rate": 1.1502521008403363e-05, + "loss": 0.19, + "step": 2578 + }, + { + "epoch": 12.89, + "learning_rate": 1.1499159663865546e-05, + "loss": 0.9826, + "step": 2579 + }, + { + "epoch": 12.9, + "learning_rate": 1.1495798319327732e-05, + "loss": 0.0827, + "step": 2580 + }, + { + "epoch": 12.9, + "learning_rate": 1.1492436974789917e-05, + "loss": 0.1542, + "step": 2581 + }, + { + "epoch": 12.91, + "learning_rate": 1.1489075630252103e-05, + "loss": 0.2023, + "step": 2582 + }, + { + "epoch": 12.91, + "learning_rate": 1.1485714285714287e-05, + "loss": 0.1584, + "step": 2583 + }, + { + "epoch": 12.92, + "learning_rate": 1.148235294117647e-05, + "loss": 0.1744, + "step": 2584 + }, + { + "epoch": 12.93, + "learning_rate": 1.1478991596638656e-05, + "loss": 0.3267, + "step": 2585 + }, + { + "epoch": 12.93, + "learning_rate": 1.1475630252100842e-05, + "loss": 1.4133, + "step": 2586 + }, + { + "epoch": 12.94, + "learning_rate": 1.1472268907563027e-05, + "loss": 0.1911, + "step": 2587 + }, + { + "epoch": 12.94, + "learning_rate": 1.1468907563025211e-05, + "loss": 0.198, + "step": 2588 + }, + { + "epoch": 12.95, + "learning_rate": 1.1465546218487395e-05, + "loss": 0.0788, + "step": 2589 + }, + { + "epoch": 12.95, + "learning_rate": 1.146218487394958e-05, + "loss": 0.8191, + "step": 2590 + }, + { + "epoch": 12.96, + "learning_rate": 1.1458823529411766e-05, + "loss": 1.1957, + "step": 2591 + }, + { + "epoch": 12.96, + "learning_rate": 1.1455462184873952e-05, + "loss": 0.1044, + "step": 2592 + }, + { + "epoch": 12.96, + "learning_rate": 1.1452100840336135e-05, + "loss": 1.0693, + "step": 2593 + }, + { + "epoch": 12.97, + "learning_rate": 1.144873949579832e-05, + "loss": 0.7847, + "step": 2594 + }, + { + "epoch": 12.97, + "learning_rate": 1.1445378151260505e-05, + "loss": 0.2664, + "step": 2595 + }, + { + "epoch": 12.98, + "learning_rate": 1.144201680672269e-05, + "loss": 0.1381, + "step": 2596 + }, + { + "epoch": 12.98, + "learning_rate": 1.1438655462184876e-05, + "loss": 0.2741, + "step": 2597 + }, + { + "epoch": 12.99, + "learning_rate": 1.143529411764706e-05, + "loss": 0.0795, + "step": 2598 + }, + { + "epoch": 12.99, + "learning_rate": 1.1431932773109245e-05, + "loss": 0.3406, + "step": 2599 + }, + { + "epoch": 13.0, + "learning_rate": 1.1428571428571429e-05, + "loss": 0.1748, + "step": 2600 + }, + { + "epoch": 13.0, + "eval_accuracy": 0.81, + "eval_loss": 0.734300971031189, + "eval_roc_auc": 0.967108122167461, + "eval_runtime": 59.3083, + "eval_samples_per_second": 3.372, + "eval_steps_per_second": 0.843, + "step": 2600 + } + ], + "max_steps": 6000, + "num_train_epochs": 30, + "total_flos": 1.888396643328e+18, + "trial_name": null, + "trial_params": null +}