diff --git "a/trainer_state.json" "b/trainer_state.json"
new file mode 100644--- /dev/null
+++ "b/trainer_state.json"
@@ -0,0 +1,31218 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 5198,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.282051282051282e-07,
+      "loss": 1.3132,
+      "step": 1
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.564102564102564e-07,
+      "loss": 1.3256,
+      "step": 2
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.846153846153847e-07,
+      "loss": 1.3093,
+      "step": 3
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 5.128205128205128e-07,
+      "loss": 1.3573,
+      "step": 4
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 6.41025641025641e-07,
+      "loss": 1.3264,
+      "step": 5
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 7.692307692307694e-07,
+      "loss": 1.3451,
+      "step": 6
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 8.974358974358975e-07,
+      "loss": 1.3416,
+      "step": 7
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.0256410256410257e-06,
+      "loss": 1.2948,
+      "step": 8
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.153846153846154e-06,
+      "loss": 1.342,
+      "step": 9
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.282051282051282e-06,
+      "loss": 1.2766,
+      "step": 10
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.4102564102564104e-06,
+      "loss": 1.3038,
+      "step": 11
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.5384615384615387e-06,
+      "loss": 1.2872,
+      "step": 12
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.6666666666666667e-06,
+      "loss": 1.242,
+      "step": 13
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.794871794871795e-06,
+      "loss": 1.1814,
+      "step": 14
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 1.9230769230769234e-06,
+      "loss": 1.193,
+      "step": 15
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.0512820512820513e-06,
+      "loss": 1.2396,
+      "step": 16
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.1794871794871797e-06,
+      "loss": 1.1455,
+      "step": 17
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.307692307692308e-06,
+      "loss": 1.1214,
+      "step": 18
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.435897435897436e-06,
+      "loss": 1.177,
+      "step": 19
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.564102564102564e-06,
+      "loss": 1.0774,
+      "step": 20
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.6923076923076923e-06,
+      "loss": 1.1622,
+      "step": 21
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.8205128205128207e-06,
+      "loss": 1.1214,
+      "step": 22
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 2.948717948717949e-06,
+      "loss": 1.0408,
+      "step": 23
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.0769230769230774e-06,
+      "loss": 1.147,
+      "step": 24
+    },
+    {
+      "epoch": 0.0,
+      "learning_rate": 3.205128205128206e-06,
+      "loss": 1.0994,
+      "step": 25
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.3333333333333333e-06,
+      "loss": 1.0863,
+      "step": 26
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.4615384615384617e-06,
+      "loss": 1.0899,
+      "step": 27
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.58974358974359e-06,
+      "loss": 1.0886,
+      "step": 28
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.7179487179487184e-06,
+      "loss": 1.0456,
+      "step": 29
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.846153846153847e-06,
+      "loss": 1.0434,
+      "step": 30
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 3.974358974358974e-06,
+      "loss": 1.0891,
+      "step": 31
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.102564102564103e-06,
+      "loss": 1.0159,
+      "step": 32
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.230769230769231e-06,
+      "loss": 1.0428,
+      "step": 33
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.358974358974359e-06,
+      "loss": 1.0206,
+      "step": 34
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.487179487179488e-06,
+      "loss": 0.9965,
+      "step": 35
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.615384615384616e-06,
+      "loss": 1.0266,
+      "step": 36
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.743589743589744e-06,
+      "loss": 0.3025,
+      "step": 37
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 4.871794871794872e-06,
+      "loss": 1.0521,
+      "step": 38
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5e-06,
+      "loss": 1.049,
+      "step": 39
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.128205128205128e-06,
+      "loss": 1.0168,
+      "step": 40
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.256410256410257e-06,
+      "loss": 1.014,
+      "step": 41
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.384615384615385e-06,
+      "loss": 1.0664,
+      "step": 42
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.512820512820514e-06,
+      "loss": 0.9645,
+      "step": 43
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.641025641025641e-06,
+      "loss": 1.0319,
+      "step": 44
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.769230769230769e-06,
+      "loss": 1.0352,
+      "step": 45
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.897435897435898e-06,
+      "loss": 0.989,
+      "step": 46
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.025641025641026e-06,
+      "loss": 0.9755,
+      "step": 47
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.153846153846155e-06,
+      "loss": 0.9752,
+      "step": 48
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.282051282051282e-06,
+      "loss": 0.9748,
+      "step": 49
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.410256410256412e-06,
+      "loss": 0.9668,
+      "step": 50
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.538461538461539e-06,
+      "loss": 1.0078,
+      "step": 51
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 1.0033,
+      "step": 52
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.794871794871796e-06,
+      "loss": 0.9835,
+      "step": 53
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 6.923076923076923e-06,
+      "loss": 0.9732,
+      "step": 54
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.051282051282053e-06,
+      "loss": 1.0029,
+      "step": 55
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.17948717948718e-06,
+      "loss": 0.3139,
+      "step": 56
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.307692307692308e-06,
+      "loss": 0.972,
+      "step": 57
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.435897435897437e-06,
+      "loss": 1.0105,
+      "step": 58
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.564102564102564e-06,
+      "loss": 1.0251,
+      "step": 59
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.692307692307694e-06,
+      "loss": 0.9921,
+      "step": 60
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.820512820512822e-06,
+      "loss": 0.9531,
+      "step": 61
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 7.948717948717949e-06,
+      "loss": 0.9708,
+      "step": 62
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.076923076923077e-06,
+      "loss": 0.9167,
+      "step": 63
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.205128205128205e-06,
+      "loss": 0.9924,
+      "step": 64
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.333333333333334e-06,
+      "loss": 0.9774,
+      "step": 65
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.461538461538462e-06,
+      "loss": 0.956,
+      "step": 66
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.58974358974359e-06,
+      "loss": 0.8848,
+      "step": 67
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.717948717948719e-06,
+      "loss": 0.9733,
+      "step": 68
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.846153846153847e-06,
+      "loss": 0.9673,
+      "step": 69
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 8.974358974358976e-06,
+      "loss": 0.962,
+      "step": 70
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.102564102564104e-06,
+      "loss": 0.9404,
+      "step": 71
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.230769230769232e-06,
+      "loss": 0.9049,
+      "step": 72
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.358974358974359e-06,
+      "loss": 0.9844,
+      "step": 73
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.487179487179487e-06,
+      "loss": 0.9412,
+      "step": 74
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.615384615384616e-06,
+      "loss": 0.9231,
+      "step": 75
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.743589743589744e-06,
+      "loss": 0.9329,
+      "step": 76
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 9.871794871794872e-06,
+      "loss": 0.9013,
+      "step": 77
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1e-05,
+      "loss": 0.9711,
+      "step": 78
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.012820512820513e-05,
+      "loss": 1.0116,
+      "step": 79
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0256410256410256e-05,
+      "loss": 0.9545,
+      "step": 80
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0384615384615386e-05,
+      "loss": 0.9991,
+      "step": 81
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0512820512820514e-05,
+      "loss": 1.027,
+      "step": 82
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0641025641025643e-05,
+      "loss": 1.0188,
+      "step": 83
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.076923076923077e-05,
+      "loss": 0.9638,
+      "step": 84
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0897435897435898e-05,
+      "loss": 0.9424,
+      "step": 85
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1025641025641028e-05,
+      "loss": 0.9412,
+      "step": 86
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1153846153846154e-05,
+      "loss": 0.9939,
+      "step": 87
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1282051282051283e-05,
+      "loss": 0.9621,
+      "step": 88
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1410256410256411e-05,
+      "loss": 0.2913,
+      "step": 89
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1538461538461538e-05,
+      "loss": 0.908,
+      "step": 90
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1666666666666668e-05,
+      "loss": 0.9702,
+      "step": 91
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1794871794871796e-05,
+      "loss": 0.9803,
+      "step": 92
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.1923076923076925e-05,
+      "loss": 0.9805,
+      "step": 93
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2051282051282051e-05,
+      "loss": 0.9383,
+      "step": 94
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.217948717948718e-05,
+      "loss": 0.3069,
+      "step": 95
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.230769230769231e-05,
+      "loss": 0.9496,
+      "step": 96
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2435897435897436e-05,
+      "loss": 0.9487,
+      "step": 97
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2564102564102565e-05,
+      "loss": 0.9732,
+      "step": 98
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2692307692307693e-05,
+      "loss": 0.8871,
+      "step": 99
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.2820512820512823e-05,
+      "loss": 0.2934,
+      "step": 100
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.294871794871795e-05,
+      "loss": 0.9339,
+      "step": 101
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3076923076923078e-05,
+      "loss": 1.041,
+      "step": 102
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3205128205128207e-05,
+      "loss": 0.9784,
+      "step": 103
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 0.9583,
+      "step": 104
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3461538461538463e-05,
+      "loss": 0.2653,
+      "step": 105
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3589743589743592e-05,
+      "loss": 0.9425,
+      "step": 106
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3717948717948718e-05,
+      "loss": 1.0108,
+      "step": 107
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3846153846153847e-05,
+      "loss": 0.9389,
+      "step": 108
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.3974358974358975e-05,
+      "loss": 0.9703,
+      "step": 109
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4102564102564105e-05,
+      "loss": 0.9576,
+      "step": 110
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4230769230769232e-05,
+      "loss": 0.9421,
+      "step": 111
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.435897435897436e-05,
+      "loss": 1.0246,
+      "step": 112
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4487179487179489e-05,
+      "loss": 0.9291,
+      "step": 113
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4615384615384615e-05,
+      "loss": 0.9602,
+      "step": 114
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4743589743589745e-05,
+      "loss": 0.9538,
+      "step": 115
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.4871794871794874e-05,
+      "loss": 0.2957,
+      "step": 116
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5000000000000002e-05,
+      "loss": 0.9787,
+      "step": 117
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5128205128205129e-05,
+      "loss": 0.9435,
+      "step": 118
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5256410256410257e-05,
+      "loss": 1.0538,
+      "step": 119
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5384615384615387e-05,
+      "loss": 0.932,
+      "step": 120
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5512820512820516e-05,
+      "loss": 0.989,
+      "step": 121
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5641025641025644e-05,
+      "loss": 1.0081,
+      "step": 122
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.576923076923077e-05,
+      "loss": 0.9002,
+      "step": 123
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.5897435897435897e-05,
+      "loss": 0.9409,
+      "step": 124
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.602564102564103e-05,
+      "loss": 0.9611,
+      "step": 125
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6153846153846154e-05,
+      "loss": 0.9475,
+      "step": 126
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.6282051282051282e-05,
+      "loss": 0.9908,
+      "step": 127
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.641025641025641e-05,
+      "loss": 0.8517,
+      "step": 128
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.653846153846154e-05,
+      "loss": 0.9259,
+      "step": 129
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 0.9497,
+      "step": 130
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.6794871794871796e-05,
+      "loss": 0.9666,
+      "step": 131
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.6923076923076924e-05,
+      "loss": 0.9086,
+      "step": 132
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7051282051282053e-05,
+      "loss": 0.9076,
+      "step": 133
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.717948717948718e-05,
+      "loss": 0.9396,
+      "step": 134
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.730769230769231e-05,
+      "loss": 0.9207,
+      "step": 135
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7435897435897438e-05,
+      "loss": 0.8965,
+      "step": 136
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7564102564102566e-05,
+      "loss": 0.9837,
+      "step": 137
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7692307692307694e-05,
+      "loss": 0.9943,
+      "step": 138
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.7820512820512823e-05,
+      "loss": 0.9253,
+      "step": 139
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.794871794871795e-05,
+      "loss": 0.9939,
+      "step": 140
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.807692307692308e-05,
+      "loss": 0.9627,
+      "step": 141
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8205128205128208e-05,
+      "loss": 0.964,
+      "step": 142
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8333333333333333e-05,
+      "loss": 0.992,
+      "step": 143
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8461538461538465e-05,
+      "loss": 0.9698,
+      "step": 144
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8589743589743593e-05,
+      "loss": 0.9523,
+      "step": 145
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8717948717948718e-05,
+      "loss": 0.9577,
+      "step": 146
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8846153846153846e-05,
+      "loss": 0.9211,
+      "step": 147
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.8974358974358975e-05,
+      "loss": 0.9293,
+      "step": 148
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9102564102564106e-05,
+      "loss": 0.9389,
+      "step": 149
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.923076923076923e-05,
+      "loss": 0.932,
+      "step": 150
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.935897435897436e-05,
+      "loss": 0.9825,
+      "step": 151
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9487179487179488e-05,
+      "loss": 0.2928,
+      "step": 152
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9615384615384617e-05,
+      "loss": 0.9832,
+      "step": 153
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9743589743589745e-05,
+      "loss": 0.8959,
+      "step": 154
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9871794871794873e-05,
+      "loss": 0.8985,
+      "step": 155
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 2e-05,
+      "loss": 1.0135,
+      "step": 156
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999998058827844e-05,
+      "loss": 0.9591,
+      "step": 157
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999992235312136e-05,
+      "loss": 0.9802,
+      "step": 158
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999982529455127e-05,
+      "loss": 0.9306,
+      "step": 159
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999968941260596e-05,
+      "loss": 0.9421,
+      "step": 160
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999951470733808e-05,
+      "loss": 0.962,
+      "step": 161
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999930117881548e-05,
+      "loss": 0.9833,
+      "step": 162
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999904882712115e-05,
+      "loss": 0.9587,
+      "step": 163
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.99998757652353e-05,
+      "loss": 0.3353,
+      "step": 164
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999842765462403e-05,
+      "loss": 0.9549,
+      "step": 165
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999980588340624e-05,
+      "loss": 0.9639,
+      "step": 166
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999765119081132e-05,
+      "loss": 0.9743,
+      "step": 167
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999720472502902e-05,
+      "loss": 0.9343,
+      "step": 168
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999671943688885e-05,
+      "loss": 0.9459,
+      "step": 169
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999619532657915e-05,
+      "loss": 0.9216,
+      "step": 170
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999563239430352e-05,
+      "loss": 0.8323,
+      "step": 171
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999503064028043e-05,
+      "loss": 0.9795,
+      "step": 172
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999943900647435e-05,
+      "loss": 0.9323,
+      "step": 173
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999371066794146e-05,
+      "loss": 0.9619,
+      "step": 174
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999299245013805e-05,
+      "loss": 0.9563,
+      "step": 175
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999922354116121e-05,
+      "loss": 0.9297,
+      "step": 176
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.999914395526575e-05,
+      "loss": 0.9328,
+      "step": 177
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9999060487358333e-05,
+      "loss": 0.8984,
+      "step": 178
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998973137471352e-05,
+      "loss": 0.9675,
+      "step": 179
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998881905638727e-05,
+      "loss": 0.3039,
+      "step": 180
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.9998786791895874e-05,
+      "loss": 0.9327,
+      "step": 181
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999868779627972e-05,
+      "loss": 1.0059,
+      "step": 182
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998584918828695e-05,
+      "loss": 0.9207,
+      "step": 183
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998478159582747e-05,
+      "loss": 0.9306,
+      "step": 184
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999836751858332e-05,
+      "loss": 0.989,
+      "step": 185
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998252995873367e-05,
+      "loss": 0.97,
+      "step": 186
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999813459149735e-05,
+      "loss": 0.3358,
+      "step": 187
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9998012305501243e-05,
+      "loss": 0.914,
+      "step": 188
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999788613793251e-05,
+      "loss": 0.8626,
+      "step": 189
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999775608884015e-05,
+      "loss": 0.297,
+      "step": 190
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997622158274635e-05,
+      "loss": 0.9289,
+      "step": 191
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997484346287973e-05,
+      "loss": 0.9364,
+      "step": 192
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997342652933668e-05,
+      "loss": 1.0277,
+      "step": 193
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9997197078266723e-05,
+      "loss": 0.9683,
+      "step": 194
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999704762234366e-05,
+      "loss": 0.9077,
+      "step": 195
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.99968942852225e-05,
+      "loss": 0.9761,
+      "step": 196
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996737066962778e-05,
+      "loss": 0.9847,
+      "step": 197
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996575967625525e-05,
+      "loss": 0.9642,
+      "step": 198
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999641098727329e-05,
+      "loss": 0.9084,
+      "step": 199
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999624212597013e-05,
+      "loss": 0.9397,
+      "step": 200
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9996069383781587e-05,
+      "loss": 0.9902,
+      "step": 201
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995892760774738e-05,
+      "loss": 0.9938,
+      "step": 202
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995712257018153e-05,
+      "loss": 0.9706,
+      "step": 203
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995527872581903e-05,
+      "loss": 0.9069,
+      "step": 204
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995339607537578e-05,
+      "loss": 0.3235,
+      "step": 205
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9995147461958267e-05,
+      "loss": 0.9275,
+      "step": 206
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999495143591857e-05,
+      "loss": 0.9349,
+      "step": 207
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999475152949459e-05,
+      "loss": 0.9397,
+      "step": 208
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994547742763935e-05,
+      "loss": 0.9798,
+      "step": 209
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994340075805724e-05,
+      "loss": 0.9717,
+      "step": 210
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9994128528700583e-05,
+      "loss": 0.9531,
+      "step": 211
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993913101530635e-05,
+      "loss": 0.8782,
+      "step": 212
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993693794379525e-05,
+      "loss": 0.9201,
+      "step": 213
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993470607332387e-05,
+      "loss": 0.9388,
+      "step": 214
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999324354047588e-05,
+      "loss": 0.9495,
+      "step": 215
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9993012593898146e-05,
+      "loss": 0.9662,
+      "step": 216
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992777767688857e-05,
+      "loss": 0.2978,
+      "step": 217
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992539061939175e-05,
+      "loss": 0.3249,
+      "step": 218
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.999229647674178e-05,
+      "loss": 0.9956,
+      "step": 219
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9992050012190845e-05,
+      "loss": 0.2912,
+      "step": 220
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991799668382058e-05,
+      "loss": 0.9423,
+      "step": 221
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991545445412614e-05,
+      "loss": 0.938,
+      "step": 222
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991287343381208e-05,
+      "loss": 1.0164,
+      "step": 223
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9991025362388044e-05,
+      "loss": 0.9678,
+      "step": 224
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990759502534835e-05,
+      "loss": 0.9337,
+      "step": 225
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990489763924796e-05,
+      "loss": 0.3037,
+      "step": 226
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9990216146662648e-05,
+      "loss": 0.9002,
+      "step": 227
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989938650854618e-05,
+      "loss": 0.9746,
+      "step": 228
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.998965727660844e-05,
+      "loss": 0.9161,
+      "step": 229
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9989372024033352e-05,
+      "loss": 0.9133,
+      "step": 230
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.99890828932401e-05,
+      "loss": 0.9182,
+      "step": 231
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988789884340938e-05,
+      "loss": 0.9217,
+      "step": 232
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 1.9988492997449615e-05,
+      "loss": 0.9411,
+      "step": 233
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9988192232681398e-05,
+      "loss": 0.9258,
+      "step": 234
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987887590153055e-05,
+      "loss": 0.9326,
+      "step": 235
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987579069982856e-05,
+      "loss": 0.9888,
+      "step": 236
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9987266672290577e-05,
+      "loss": 0.9668,
+      "step": 237
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986950397197503e-05,
+      "loss": 0.9739,
+      "step": 238
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9986630244826425e-05,
+      "loss": 0.9433,
+      "step": 239
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998630621530164e-05,
+      "loss": 0.9853,
+      "step": 240
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998597830874894e-05,
+      "loss": 0.9595,
+      "step": 241
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9985646525295634e-05,
+      "loss": 0.8617,
+      "step": 242
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998531086507053e-05,
+      "loss": 0.9047,
+      "step": 243
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984971328203945e-05,
+      "loss": 0.9285,
+      "step": 244
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984627914827698e-05,
+      "loss": 0.9443,
+      "step": 245
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9984280625075115e-05,
+      "loss": 0.9957,
+      "step": 246
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9983929459081022e-05,
+      "loss": 0.9295,
+      "step": 247
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998357441698176e-05,
+      "loss": 0.9386,
+      "step": 248
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.998321549891516e-05,
+      "loss": 0.9028,
+      "step": 249
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9982852705020572e-05,
+      "loss": 0.8926,
+      "step": 250
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9982486035438848e-05,
+      "loss": 0.3425,
+      "step": 251
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9982115490312334e-05,
+      "loss": 0.932,
+      "step": 252
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981741069784894e-05,
+      "loss": 0.9422,
+      "step": 253
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9981362774001886e-05,
+      "loss": 0.9256,
+      "step": 254
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980980603110185e-05,
+      "loss": 0.9617,
+      "step": 255
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980594557258158e-05,
+      "loss": 0.8988,
+      "step": 256
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9980204636595682e-05,
+      "loss": 0.8599,
+      "step": 257
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979810841274135e-05,
+      "loss": 0.9448,
+      "step": 258
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979413171446403e-05,
+      "loss": 0.9812,
+      "step": 259
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9979011627266884e-05,
+      "loss": 0.9382,
+      "step": 260
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997860620889146e-05,
+      "loss": 0.9495,
+      "step": 261
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997819691647753e-05,
+      "loss": 0.8082,
+      "step": 262
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9977783750184e-05,
+      "loss": 0.9609,
+      "step": 263
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9977366710171274e-05,
+      "loss": 0.9366,
+      "step": 264
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9976945796601258e-05,
+      "loss": 0.9374,
+      "step": 265
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9976521009637366e-05,
+      "loss": 0.9354,
+      "step": 266
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997609234944452e-05,
+      "loss": 0.9397,
+      "step": 267
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9975659816189137e-05,
+      "loss": 1.0092,
+      "step": 268
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997522341003914e-05,
+      "loss": 0.8591,
+      "step": 269
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974783131163957e-05,
+      "loss": 0.9291,
+      "step": 270
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9974338979734523e-05,
+      "loss": 0.946,
+      "step": 271
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997389095592327e-05,
+      "loss": 0.9659,
+      "step": 272
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9973439059904133e-05,
+      "loss": 0.9492,
+      "step": 273
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9972983291852565e-05,
+      "loss": 0.9446,
+      "step": 274
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9972523651945496e-05,
+      "loss": 0.9633,
+      "step": 275
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9972060140361384e-05,
+      "loss": 0.9283,
+      "step": 276
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997159275728018e-05,
+      "loss": 0.9703,
+      "step": 277
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9971121502883332e-05,
+      "loss": 0.9543,
+      "step": 278
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9970646377353802e-05,
+      "loss": 0.9575,
+      "step": 279
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.997016738087605e-05,
+      "loss": 0.959,
+      "step": 280
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9969684513636035e-05,
+      "loss": 0.9315,
+      "step": 281
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9969197775821227e-05,
+      "loss": 0.931,
+      "step": 282
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968707167620593e-05,
+      "loss": 0.9177,
+      "step": 283
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.9968212689224603e-05,
+      "loss": 0.9729,
+      "step": 284
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 1.996771434082523e-05,
+      "loss": 0.8644,
+      "step": 285
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9967212122615958e-05,
+      "loss": 0.9241,
+      "step": 286
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9966706034791752e-05,
+      "loss": 0.843,
+      "step": 287
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9966196077549106e-05,
+      "loss": 0.8885,
+      "step": 288
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996568225108599e-05,
+      "loss": 0.9472,
+      "step": 289
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99651645556019e-05,
+      "loss": 0.9277,
+      "step": 290
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9964642991297817e-05,
+      "loss": 0.9603,
+      "step": 291
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996411755837623e-05,
+      "loss": 0.9099,
+      "step": 292
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9963588257041137e-05,
+      "loss": 0.9047,
+      "step": 293
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996305508749802e-05,
+      "loss": 0.9649,
+      "step": 294
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9962518049953887e-05,
+      "loss": 0.9084,
+      "step": 295
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9961977144617225e-05,
+      "loss": 0.9646,
+      "step": 296
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996143237169803e-05,
+      "loss": 0.3384,
+      "step": 297
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.996088373140781e-05,
+      "loss": 0.9259,
+      "step": 298
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9960331223959564e-05,
+      "loss": 0.9432,
+      "step": 299
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995977484956779e-05,
+      "loss": 0.8962,
+      "step": 300
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9959214608448495e-05,
+      "loss": 0.9699,
+      "step": 301
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9958650500819183e-05,
+      "loss": 0.9922,
+      "step": 302
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995808252689886e-05,
+      "loss": 0.9096,
+      "step": 303
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9957510686908034e-05,
+      "loss": 0.8831,
+      "step": 304
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9956934981068713e-05,
+      "loss": 0.9444,
+      "step": 305
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9956355409604402e-05,
+      "loss": 0.8753,
+      "step": 306
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9955771972740118e-05,
+      "loss": 0.9699,
+      "step": 307
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9955184670702363e-05,
+      "loss": 0.8851,
+      "step": 308
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995459350371915e-05,
+      "loss": 0.9196,
+      "step": 309
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9953998472019996e-05,
+      "loss": 0.9364,
+      "step": 310
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.995339957583591e-05,
+      "loss": 0.9138,
+      "step": 311
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9952796815399403e-05,
+      "loss": 0.8643,
+      "step": 312
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9952190190944484e-05,
+      "loss": 0.962,
+      "step": 313
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9951579702706668e-05,
+      "loss": 0.992,
+      "step": 314
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9950965350922975e-05,
+      "loss": 0.8728,
+      "step": 315
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9950347135831907e-05,
+      "loss": 0.9319,
+      "step": 316
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994972505767348e-05,
+      "loss": 0.9519,
+      "step": 317
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994909911668921e-05,
+      "loss": 0.9386,
+      "step": 318
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99484693131221e-05,
+      "loss": 0.9229,
+      "step": 319
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994783564721667e-05,
+      "loss": 0.9084,
+      "step": 320
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9947198119218924e-05,
+      "loss": 0.897,
+      "step": 321
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994655672937638e-05,
+      "loss": 0.2833,
+      "step": 322
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9945911477938044e-05,
+      "loss": 1.0143,
+      "step": 323
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994526236515442e-05,
+      "loss": 0.9453,
+      "step": 324
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994460939127753e-05,
+      "loss": 0.9914,
+      "step": 325
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9943952556560863e-05,
+      "loss": 0.8689,
+      "step": 326
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9943291861259433e-05,
+      "loss": 0.9821,
+      "step": 327
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9942627305629747e-05,
+      "loss": 0.9168,
+      "step": 328
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9941958889929808e-05,
+      "loss": 0.9165,
+      "step": 329
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9941286614419113e-05,
+      "loss": 0.8821,
+      "step": 330
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.994061047935867e-05,
+      "loss": 0.9477,
+      "step": 331
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9939930485010968e-05,
+      "loss": 0.9293,
+      "step": 332
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9939246631640014e-05,
+      "loss": 0.9169,
+      "step": 333
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.99385589195113e-05,
+      "loss": 0.8624,
+      "step": 334
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9937867348891815e-05,
+      "loss": 0.9345,
+      "step": 335
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9937171920050057e-05,
+      "loss": 0.9378,
+      "step": 336
+    },
+    {
+      "epoch": 0.06,
+      "learning_rate": 1.9936472633256012e-05,
+      "loss": 0.9169,
+      "step": 337
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9935769488781167e-05,
+      "loss": 0.9373,
+      "step": 338
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993506248689851e-05,
+      "loss": 0.9572,
+      "step": 339
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993435162788252e-05,
+      "loss": 0.9183,
+      "step": 340
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.993363691200918e-05,
+      "loss": 0.9537,
+      "step": 341
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9932918339555965e-05,
+      "loss": 0.8671,
+      "step": 342
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9932195910801848e-05,
+      "loss": 0.9755,
+      "step": 343
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9931469626027305e-05,
+      "loss": 0.9109,
+      "step": 344
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9930739485514304e-05,
+      "loss": 0.9147,
+      "step": 345
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9930005489546308e-05,
+      "loss": 0.9277,
+      "step": 346
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9929267638408277e-05,
+      "loss": 0.9582,
+      "step": 347
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9928525932386678e-05,
+      "loss": 0.9185,
+      "step": 348
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9927780371769463e-05,
+      "loss": 0.9467,
+      "step": 349
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9927030956846083e-05,
+      "loss": 0.8718,
+      "step": 350
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992627768790749e-05,
+      "loss": 0.9152,
+      "step": 351
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9925520565246125e-05,
+      "loss": 0.326,
+      "step": 352
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9924759589155932e-05,
+      "loss": 0.9005,
+      "step": 353
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9923994759932344e-05,
+      "loss": 0.9763,
+      "step": 354
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9923226077872296e-05,
+      "loss": 0.9037,
+      "step": 355
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9922453543274223e-05,
+      "loss": 0.9121,
+      "step": 356
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9921677156438044e-05,
+      "loss": 0.9108,
+      "step": 357
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9920896917665178e-05,
+      "loss": 0.9826,
+      "step": 358
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.992011282725854e-05,
+      "loss": 0.9872,
+      "step": 359
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9919324885522548e-05,
+      "loss": 0.9235,
+      "step": 360
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.99185330927631e-05,
+      "loss": 0.9292,
+      "step": 361
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.99177374492876e-05,
+      "loss": 0.8941,
+      "step": 362
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991693795540494e-05,
+      "loss": 0.9236,
+      "step": 363
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9916134611425522e-05,
+      "loss": 0.9027,
+      "step": 364
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9915327417661226e-05,
+      "loss": 0.9016,
+      "step": 365
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.991451637442543e-05,
+      "loss": 0.9379,
+      "step": 366
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9913701482033008e-05,
+      "loss": 0.9542,
+      "step": 367
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9912882740800336e-05,
+      "loss": 0.9055,
+      "step": 368
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9912060151045273e-05,
+      "loss": 0.9216,
+      "step": 369
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9911233713087172e-05,
+      "loss": 0.9617,
+      "step": 370
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9910403427246895e-05,
+      "loss": 0.9314,
+      "step": 371
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990956929384678e-05,
+      "loss": 0.9251,
+      "step": 372
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990873131321067e-05,
+      "loss": 0.9028,
+      "step": 373
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9907889485663897e-05,
+      "loss": 0.9433,
+      "step": 374
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9907043811533283e-05,
+      "loss": 0.8993,
+      "step": 375
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9906194291147155e-05,
+      "loss": 0.8912,
+      "step": 376
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9905340924835322e-05,
+      "loss": 0.9676,
+      "step": 377
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9904483712929094e-05,
+      "loss": 0.8852,
+      "step": 378
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9903622655761267e-05,
+      "loss": 0.9159,
+      "step": 379
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990275775366613e-05,
+      "loss": 0.9043,
+      "step": 380
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9901889006979473e-05,
+      "loss": 0.9305,
+      "step": 381
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.990101641603857e-05,
+      "loss": 0.908,
+      "step": 382
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9900139981182193e-05,
+      "loss": 0.9064,
+      "step": 383
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9899259702750604e-05,
+      "loss": 0.8989,
+      "step": 384
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9898375581085555e-05,
+      "loss": 0.9087,
+      "step": 385
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9897487616530296e-05,
+      "loss": 0.9366,
+      "step": 386
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9896595809429565e-05,
+      "loss": 0.9376,
+      "step": 387
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9895700160129593e-05,
+      "loss": 0.8951,
+      "step": 388
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 1.9894800668978095e-05,
+      "loss": 0.9369,
+      "step": 389
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9893897336324292e-05,
+      "loss": 0.9355,
+      "step": 390
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9892990162518884e-05,
+      "loss": 0.9433,
+      "step": 391
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9892079147914072e-05,
+      "loss": 0.9604,
+      "step": 392
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9891164292863537e-05,
+      "loss": 0.9151,
+      "step": 393
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9890245597722465e-05,
+      "loss": 0.9567,
+      "step": 394
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9889323062847516e-05,
+      "loss": 0.9223,
+      "step": 395
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988839668859686e-05,
+      "loss": 0.9547,
+      "step": 396
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988746647533014e-05,
+      "loss": 0.8904,
+      "step": 397
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9886532423408495e-05,
+      "loss": 0.9612,
+      "step": 398
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9885594533194564e-05,
+      "loss": 0.942,
+      "step": 399
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9884652805052465e-05,
+      "loss": 0.8769,
+      "step": 400
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9883707239347804e-05,
+      "loss": 0.8955,
+      "step": 401
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988275783644769e-05,
+      "loss": 0.9157,
+      "step": 402
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988180459672071e-05,
+      "loss": 0.9484,
+      "step": 403
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.988084752053695e-05,
+      "loss": 0.9367,
+      "step": 404
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9879886608267967e-05,
+      "loss": 0.9508,
+      "step": 405
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9878921860286832e-05,
+      "loss": 0.9593,
+      "step": 406
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9877953276968088e-05,
+      "loss": 0.9012,
+      "step": 407
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9876980858687777e-05,
+      "loss": 0.8939,
+      "step": 408
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9876004605823417e-05,
+      "loss": 0.2975,
+      "step": 409
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987502451875403e-05,
+      "loss": 0.3095,
+      "step": 410
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987404059786012e-05,
+      "loss": 0.8958,
+      "step": 411
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9873052843523676e-05,
+      "loss": 0.9265,
+      "step": 412
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987206125612818e-05,
+      "loss": 0.9148,
+      "step": 413
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98710658360586e-05,
+      "loss": 0.9271,
+      "step": 414
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.987006658370139e-05,
+      "loss": 0.9025,
+      "step": 415
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9869063499444495e-05,
+      "loss": 0.9487,
+      "step": 416
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9868056583677346e-05,
+      "loss": 0.9574,
+      "step": 417
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9867045836790867e-05,
+      "loss": 0.9013,
+      "step": 418
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9866031259177463e-05,
+      "loss": 0.9452,
+      "step": 419
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9865012851231022e-05,
+      "loss": 0.9368,
+      "step": 420
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9863990613346936e-05,
+      "loss": 0.9591,
+      "step": 421
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.986296454592206e-05,
+      "loss": 0.9261,
+      "step": 422
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9861934649354763e-05,
+      "loss": 0.9592,
+      "step": 423
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9860900924044873e-05,
+      "loss": 0.9131,
+      "step": 424
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9859863370393726e-05,
+      "loss": 0.8303,
+      "step": 425
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9858821988804132e-05,
+      "loss": 0.9424,
+      "step": 426
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9857776779680393e-05,
+      "loss": 0.8917,
+      "step": 427
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98567277434283e-05,
+      "loss": 0.9326,
+      "step": 428
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9855674880455115e-05,
+      "loss": 0.9095,
+      "step": 429
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.98546181911696e-05,
+      "loss": 0.9732,
+      "step": 430
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9853557675982e-05,
+      "loss": 0.9536,
+      "step": 431
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.985249333530404e-05,
+      "loss": 0.8749,
+      "step": 432
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9851425169548938e-05,
+      "loss": 0.8722,
+      "step": 433
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9850353179131392e-05,
+      "loss": 0.3212,
+      "step": 434
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9849277364467585e-05,
+      "loss": 0.3289,
+      "step": 435
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984819772597518e-05,
+      "loss": 0.8965,
+      "step": 436
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9847114264073336e-05,
+      "loss": 0.9202,
+      "step": 437
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.984602697918269e-05,
+      "loss": 0.9334,
+      "step": 438
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9844935871725363e-05,
+      "loss": 0.9097,
+      "step": 439
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9843840942124956e-05,
+      "loss": 0.8882,
+      "step": 440
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 1.9842742190806566e-05,
+      "loss": 0.9746,
+      "step": 441
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.984163961819676e-05,
+      "loss": 0.9056,
+      "step": 442
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9840533224723595e-05,
+      "loss": 0.9226,
+      "step": 443
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9839423010816616e-05,
+      "loss": 0.9158,
+      "step": 444
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983830897690684e-05,
+      "loss": 0.9294,
+      "step": 445
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9837191123426777e-05,
+      "loss": 0.9264,
+      "step": 446
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983606945081042e-05,
+      "loss": 0.9399,
+      "step": 447
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983494395949323e-05,
+      "loss": 0.9299,
+      "step": 448
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983381464991217e-05,
+      "loss": 0.9314,
+      "step": 449
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9832681522505676e-05,
+      "loss": 0.8611,
+      "step": 450
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9831544577713663e-05,
+      "loss": 0.9791,
+      "step": 451
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.983040381597754e-05,
+      "loss": 0.9432,
+      "step": 452
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982925923774018e-05,
+      "loss": 0.8623,
+      "step": 453
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9828110843445954e-05,
+      "loss": 0.884,
+      "step": 454
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982695863354071e-05,
+      "loss": 0.9039,
+      "step": 455
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9825802608471767e-05,
+      "loss": 0.8833,
+      "step": 456
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982464276868794e-05,
+      "loss": 0.9552,
+      "step": 457
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982347911463952e-05,
+      "loss": 0.9391,
+      "step": 458
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9822311646778277e-05,
+      "loss": 0.9071,
+      "step": 459
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.982114036555746e-05,
+      "loss": 0.9102,
+      "step": 460
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9819965271431797e-05,
+      "loss": 0.884,
+      "step": 461
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9818786364857506e-05,
+      "loss": 0.9159,
+      "step": 462
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9817603646292278e-05,
+      "loss": 0.9305,
+      "step": 463
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9816417116195287e-05,
+      "loss": 0.8919,
+      "step": 464
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9815226775027182e-05,
+      "loss": 0.9216,
+      "step": 465
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9814032623250093e-05,
+      "loss": 0.9855,
+      "step": 466
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9812834661327632e-05,
+      "loss": 0.8959,
+      "step": 467
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9811632889724888e-05,
+      "loss": 0.8597,
+      "step": 468
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9810427308908437e-05,
+      "loss": 0.8398,
+      "step": 469
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9809217919346318e-05,
+      "loss": 0.8445,
+      "step": 470
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980800472150806e-05,
+      "loss": 0.9768,
+      "step": 471
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9806787715864674e-05,
+      "loss": 0.9207,
+      "step": 472
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9805566902888637e-05,
+      "loss": 0.953,
+      "step": 473
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9804342283053916e-05,
+      "loss": 0.9388,
+      "step": 474
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980311385683594e-05,
+      "loss": 0.982,
+      "step": 475
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.980188162471164e-05,
+      "loss": 0.9345,
+      "step": 476
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.98006455871594e-05,
+      "loss": 0.9238,
+      "step": 477
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.97994057446591e-05,
+      "loss": 0.8709,
+      "step": 478
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979816209769209e-05,
+      "loss": 0.9061,
+      "step": 479
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9796914646741187e-05,
+      "loss": 0.8624,
+      "step": 480
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9795663392290702e-05,
+      "loss": 0.9104,
+      "step": 481
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9794408334826415e-05,
+      "loss": 0.8522,
+      "step": 482
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.979314947483558e-05,
+      "loss": 0.926,
+      "step": 483
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9791886812806932e-05,
+      "loss": 0.9692,
+      "step": 484
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9790620349230676e-05,
+      "loss": 0.8795,
+      "step": 485
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9789350084598504e-05,
+      "loss": 0.9174,
+      "step": 486
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9788076019403565e-05,
+      "loss": 0.8658,
+      "step": 487
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9786798154140507e-05,
+      "loss": 0.9566,
+      "step": 488
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9785516489305437e-05,
+      "loss": 0.3943,
+      "step": 489
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9784231025395936e-05,
+      "loss": 0.9241,
+      "step": 490
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9782941762911075e-05,
+      "loss": 0.9284,
+      "step": 491
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9781648702351383e-05,
+      "loss": 0.9311,
+      "step": 492
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 1.9780351844218874e-05,
+      "loss": 0.9388,
+      "step": 493
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977905118901703e-05,
+      "loss": 0.9008,
+      "step": 494
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977774673725081e-05,
+      "loss": 0.8808,
+      "step": 495
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977643848942665e-05,
+      "loss": 0.3443,
+      "step": 496
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.977512644605246e-05,
+      "loss": 0.8915,
+      "step": 497
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9773810607637612e-05,
+      "loss": 0.8801,
+      "step": 498
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9772490974692962e-05,
+      "loss": 0.9218,
+      "step": 499
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9771167547730844e-05,
+      "loss": 0.9527,
+      "step": 500
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976984032726505e-05,
+      "loss": 0.9554,
+      "step": 501
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976850931381086e-05,
+      "loss": 0.9448,
+      "step": 502
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.976717450788501e-05,
+      "loss": 0.9003,
+      "step": 503
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9765835910005726e-05,
+      "loss": 0.8746,
+      "step": 504
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9764493520692685e-05,
+      "loss": 0.8762,
+      "step": 505
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9763147340467067e-05,
+      "loss": 1.0003,
+      "step": 506
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9761797369851498e-05,
+      "loss": 0.8732,
+      "step": 507
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9760443609370074e-05,
+      "loss": 0.8946,
+      "step": 508
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975908605954838e-05,
+      "loss": 0.9093,
+      "step": 509
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9757724720913466e-05,
+      "loss": 0.9452,
+      "step": 510
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9756359593993845e-05,
+      "loss": 0.9066,
+      "step": 511
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975499067931951e-05,
+      "loss": 0.3061,
+      "step": 512
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975361797742192e-05,
+      "loss": 0.9542,
+      "step": 513
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9752241488834002e-05,
+      "loss": 0.9293,
+      "step": 514
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.975086121409016e-05,
+      "loss": 0.92,
+      "step": 515
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974947715372626e-05,
+      "loss": 0.8714,
+      "step": 516
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.974808930827965e-05,
+      "loss": 0.8627,
+      "step": 517
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9746697678289128e-05,
+      "loss": 0.8988,
+      "step": 518
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9745302264294982e-05,
+      "loss": 0.9096,
+      "step": 519
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9743903066838954e-05,
+      "loss": 0.9147,
+      "step": 520
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9742500086464266e-05,
+      "loss": 0.934,
+      "step": 521
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9741093323715597e-05,
+      "loss": 0.3274,
+      "step": 522
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9739682779139107e-05,
+      "loss": 0.9343,
+      "step": 523
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9738268453282414e-05,
+      "loss": 0.9071,
+      "step": 524
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9736850346694608e-05,
+      "loss": 0.9268,
+      "step": 525
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973542845992625e-05,
+      "loss": 0.9416,
+      "step": 526
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9734002793529362e-05,
+      "loss": 0.8802,
+      "step": 527
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9732573348057437e-05,
+      "loss": 0.8828,
+      "step": 528
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.973114012406544e-05,
+      "loss": 0.9638,
+      "step": 529
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9729703122109788e-05,
+      "loss": 0.9118,
+      "step": 530
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9728262342748384e-05,
+      "loss": 0.8586,
+      "step": 531
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9726817786540584e-05,
+      "loss": 0.9211,
+      "step": 532
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9725369454047215e-05,
+      "loss": 0.9244,
+      "step": 533
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9723917345830568e-05,
+      "loss": 0.9569,
+      "step": 534
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9722461462454405e-05,
+      "loss": 0.8926,
+      "step": 535
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9721001804483947e-05,
+      "loss": 0.89,
+      "step": 536
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9719538372485887e-05,
+      "loss": 0.9869,
+      "step": 537
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9718071167028376e-05,
+      "loss": 0.8726,
+      "step": 538
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9716600188681038e-05,
+      "loss": 0.8948,
+      "step": 539
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.971512543801495e-05,
+      "loss": 0.9097,
+      "step": 540
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9713646915602663e-05,
+      "loss": 0.9304,
+      "step": 541
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9712164622018197e-05,
+      "loss": 0.9079,
+      "step": 542
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9710678557837024e-05,
+      "loss": 0.8734,
+      "step": 543
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.9709188723636088e-05,
+      "loss": 0.9064,
+      "step": 544
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 1.970769511999379e-05,
+      "loss": 0.9102,
+      "step": 545
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9706197747490004e-05,
+      "loss": 0.8931,
+      "step": 546
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9704696606706055e-05,
+      "loss": 0.8965,
+      "step": 547
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9703191698224742e-05,
+      "loss": 0.9307,
+      "step": 548
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9701683022630323e-05,
+      "loss": 0.9383,
+      "step": 549
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9700170580508514e-05,
+      "loss": 0.9496,
+      "step": 550
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9698654372446495e-05,
+      "loss": 0.9239,
+      "step": 551
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.969713439903292e-05,
+      "loss": 0.9069,
+      "step": 552
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9695610660857886e-05,
+      "loss": 0.9015,
+      "step": 553
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9694083158512965e-05,
+      "loss": 0.9491,
+      "step": 554
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9692551892591185e-05,
+      "loss": 0.9513,
+      "step": 555
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9691016863687037e-05,
+      "loss": 0.9391,
+      "step": 556
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968947807239647e-05,
+      "loss": 0.8665,
+      "step": 557
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9687935519316897e-05,
+      "loss": 0.8853,
+      "step": 558
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9686389205047186e-05,
+      "loss": 0.8923,
+      "step": 559
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9684839130187678e-05,
+      "loss": 0.9349,
+      "step": 560
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.968328529534016e-05,
+      "loss": 0.8769,
+      "step": 561
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9681727701107885e-05,
+      "loss": 0.8961,
+      "step": 562
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9680166348095568e-05,
+      "loss": 0.8733,
+      "step": 563
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967860123690937e-05,
+      "loss": 0.8632,
+      "step": 564
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9677032368156934e-05,
+      "loss": 0.8857,
+      "step": 565
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967545974244734e-05,
+      "loss": 0.8911,
+      "step": 566
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9673883360391138e-05,
+      "loss": 0.9459,
+      "step": 567
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9672303222600333e-05,
+      "loss": 0.927,
+      "step": 568
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.967071932968839e-05,
+      "loss": 0.9465,
+      "step": 569
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9669131682270232e-05,
+      "loss": 0.8435,
+      "step": 570
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9667540280962235e-05,
+      "loss": 0.8425,
+      "step": 571
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966594512638224e-05,
+      "loss": 0.9242,
+      "step": 572
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9664346219149538e-05,
+      "loss": 0.9176,
+      "step": 573
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.966274355988488e-05,
+      "loss": 0.8535,
+      "step": 574
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9661137149210473e-05,
+      "loss": 0.9126,
+      "step": 575
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9659526987749987e-05,
+      "loss": 0.3132,
+      "step": 576
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9657913076128532e-05,
+      "loss": 0.3658,
+      "step": 577
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.965629541497269e-05,
+      "loss": 0.8873,
+      "step": 578
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9654674004910493e-05,
+      "loss": 0.9003,
+      "step": 579
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9653048846571427e-05,
+      "loss": 0.9375,
+      "step": 580
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9651419940586437e-05,
+      "loss": 0.8894,
+      "step": 581
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964978728758791e-05,
+      "loss": 0.9335,
+      "step": 582
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9648150888209715e-05,
+      "loss": 0.9438,
+      "step": 583
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9646510743087144e-05,
+      "loss": 0.942,
+      "step": 584
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.964486685285697e-05,
+      "loss": 0.8868,
+      "step": 585
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9643219218157395e-05,
+      "loss": 0.9033,
+      "step": 586
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9641567839628092e-05,
+      "loss": 0.9065,
+      "step": 587
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963991271791019e-05,
+      "loss": 0.9085,
+      "step": 588
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9638253853646255e-05,
+      "loss": 0.8608,
+      "step": 589
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9636591247480323e-05,
+      "loss": 0.9262,
+      "step": 590
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9634924900057867e-05,
+      "loss": 0.3577,
+      "step": 591
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963325481202583e-05,
+      "loss": 0.9069,
+      "step": 592
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.963158098403259e-05,
+      "loss": 0.895,
+      "step": 593
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9629903416727987e-05,
+      "loss": 0.866,
+      "step": 594
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.962822211076331e-05,
+      "loss": 0.8649,
+      "step": 595
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.96265370667913e-05,
+      "loss": 0.9118,
+      "step": 596
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 1.9624848285466146e-05,
+      "loss": 0.8695,
+      "step": 597
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9623155767443498e-05,
+      "loss": 0.8833,
+      "step": 598
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9621459513380445e-05,
+      "loss": 0.8869,
+      "step": 599
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9619759523935532e-05,
+      "loss": 0.951,
+      "step": 600
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9618055799768757e-05,
+      "loss": 0.837,
+      "step": 601
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961634834154156e-05,
+      "loss": 0.8876,
+      "step": 602
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9614637149916834e-05,
+      "loss": 0.902,
+      "step": 603
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9612922225558924e-05,
+      "loss": 0.9081,
+      "step": 604
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.961120356913363e-05,
+      "loss": 0.8963,
+      "step": 605
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960948118130818e-05,
+      "loss": 0.9366,
+      "step": 606
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9607755062751273e-05,
+      "loss": 0.901,
+      "step": 607
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9606025214133046e-05,
+      "loss": 0.3387,
+      "step": 608
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9604291636125084e-05,
+      "loss": 0.324,
+      "step": 609
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.960255432940043e-05,
+      "loss": 0.8557,
+      "step": 610
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9600813294633552e-05,
+      "loss": 0.8753,
+      "step": 611
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9599068532500394e-05,
+      "loss": 0.8725,
+      "step": 612
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9597320043678322e-05,
+      "loss": 0.9199,
+      "step": 613
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9595567828846166e-05,
+      "loss": 0.8778,
+      "step": 614
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9593811888684192e-05,
+      "loss": 0.9121,
+      "step": 615
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9592052223874115e-05,
+      "loss": 0.8647,
+      "step": 616
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.959028883509911e-05,
+      "loss": 0.8904,
+      "step": 617
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9588521723043764e-05,
+      "loss": 0.8797,
+      "step": 618
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.958675088839415e-05,
+      "loss": 0.9082,
+      "step": 619
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9584976331837758e-05,
+      "loss": 0.8908,
+      "step": 620
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9583198054063535e-05,
+      "loss": 0.917,
+      "step": 621
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9581416055761865e-05,
+      "loss": 0.8964,
+      "step": 622
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9579630337624585e-05,
+      "loss": 0.9606,
+      "step": 623
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9577840900344974e-05,
+      "loss": 0.9327,
+      "step": 624
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9576047744617752e-05,
+      "loss": 0.889,
+      "step": 625
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.957425087113908e-05,
+      "loss": 0.8477,
+      "step": 626
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9572450280606568e-05,
+      "loss": 0.9468,
+      "step": 627
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9570645973719273e-05,
+      "loss": 0.8854,
+      "step": 628
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9568837951177677e-05,
+      "loss": 0.8744,
+      "step": 629
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9567026213683728e-05,
+      "loss": 0.9103,
+      "step": 630
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9565210761940798e-05,
+      "loss": 0.9247,
+      "step": 631
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956339159665371e-05,
+      "loss": 0.9362,
+      "step": 632
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.956156871852873e-05,
+      "loss": 0.9164,
+      "step": 633
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9559742128273558e-05,
+      "loss": 0.9099,
+      "step": 634
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9557911826597337e-05,
+      "loss": 0.8796,
+      "step": 635
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9556077814210662e-05,
+      "loss": 0.8952,
+      "step": 636
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955424009182555e-05,
+      "loss": 0.876,
+      "step": 637
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.955239866015547e-05,
+      "loss": 0.8301,
+      "step": 638
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9550553519915335e-05,
+      "loss": 0.8844,
+      "step": 639
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.954870467182149e-05,
+      "loss": 0.9107,
+      "step": 640
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.954685211659172e-05,
+      "loss": 0.875,
+      "step": 641
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9544995854945248e-05,
+      "loss": 0.9179,
+      "step": 642
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.954313588760274e-05,
+      "loss": 0.8965,
+      "step": 643
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9541272215286304e-05,
+      "loss": 0.8351,
+      "step": 644
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9539404838719477e-05,
+      "loss": 0.8757,
+      "step": 645
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9537533758627242e-05,
+      "loss": 0.8468,
+      "step": 646
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.953565897573601e-05,
+      "loss": 0.921,
+      "step": 647
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9533780490773645e-05,
+      "loss": 0.8499,
+      "step": 648
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 1.9531898304469435e-05,
+      "loss": 0.8342,
+      "step": 649
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.953001241755411e-05,
+      "loss": 0.8919,
+      "step": 650
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.952812283075984e-05,
+      "loss": 0.9262,
+      "step": 651
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.952622954482022e-05,
+      "loss": 0.889,
+      "step": 652
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9524332560470293e-05,
+      "loss": 0.9549,
+      "step": 653
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9522431878446536e-05,
+      "loss": 0.8921,
+      "step": 654
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9520527499486856e-05,
+      "loss": 0.9631,
+      "step": 655
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.95186194243306e-05,
+      "loss": 0.4215,
+      "step": 656
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9516707653718546e-05,
+      "loss": 0.8797,
+      "step": 657
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9514792188392914e-05,
+      "loss": 0.8372,
+      "step": 658
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9512873029097347e-05,
+      "loss": 0.8824,
+      "step": 659
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9510950176576933e-05,
+      "loss": 0.8729,
+      "step": 660
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.950902363157819e-05,
+      "loss": 0.892,
+      "step": 661
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.950709339484907e-05,
+      "loss": 0.8664,
+      "step": 662
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9505159467138954e-05,
+      "loss": 0.9299,
+      "step": 663
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9503221849198655e-05,
+      "loss": 0.8584,
+      "step": 664
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9501280541780435e-05,
+      "loss": 0.8907,
+      "step": 665
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9499335545637968e-05,
+      "loss": 0.8996,
+      "step": 666
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.949738686152637e-05,
+      "loss": 0.937,
+      "step": 667
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9495434490202188e-05,
+      "loss": 0.8654,
+      "step": 668
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.94934784324234e-05,
+      "loss": 0.9245,
+      "step": 669
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9491518688949417e-05,
+      "loss": 0.8445,
+      "step": 670
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9489555260541074e-05,
+      "loss": 0.8577,
+      "step": 671
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.948758814796064e-05,
+      "loss": 0.9129,
+      "step": 672
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9485617351971827e-05,
+      "loss": 0.4538,
+      "step": 673
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9483642873339753e-05,
+      "loss": 0.8282,
+      "step": 674
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9481664712830987e-05,
+      "loss": 0.883,
+      "step": 675
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9479682871213515e-05,
+      "loss": 0.4159,
+      "step": 676
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9477697349256756e-05,
+      "loss": 0.9139,
+      "step": 677
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.947570814773156e-05,
+      "loss": 0.873,
+      "step": 678
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9473715267410206e-05,
+      "loss": 0.374,
+      "step": 679
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9471718709066392e-05,
+      "loss": 0.9402,
+      "step": 680
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9469718473475256e-05,
+      "loss": 0.9433,
+      "step": 681
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9467714561413358e-05,
+      "loss": 0.9408,
+      "step": 682
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9465706973658683e-05,
+      "loss": 0.939,
+      "step": 683
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9463695710990648e-05,
+      "loss": 0.898,
+      "step": 684
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.946168077419009e-05,
+      "loss": 0.8951,
+      "step": 685
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9459662164039283e-05,
+      "loss": 0.9044,
+      "step": 686
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9457639881321917e-05,
+      "loss": 0.9131,
+      "step": 687
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9455613926823115e-05,
+      "loss": 0.9237,
+      "step": 688
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.945358430132942e-05,
+      "loss": 0.8987,
+      "step": 689
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9451551005628803e-05,
+      "loss": 0.9322,
+      "step": 690
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9449514040510654e-05,
+      "loss": 0.3495,
+      "step": 691
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9447473406765803e-05,
+      "loss": 0.886,
+      "step": 692
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9445429105186487e-05,
+      "loss": 0.8624,
+      "step": 693
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9443381136566382e-05,
+      "loss": 0.8751,
+      "step": 694
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9441329501700568e-05,
+      "loss": 0.8714,
+      "step": 695
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.943927420138557e-05,
+      "loss": 0.8692,
+      "step": 696
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9437215236419322e-05,
+      "loss": 0.9068,
+      "step": 697
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9435152607601187e-05,
+      "loss": 0.8915,
+      "step": 698
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.943308631573195e-05,
+      "loss": 0.8882,
+      "step": 699
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9431016361613816e-05,
+      "loss": 0.8885,
+      "step": 700
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 1.9428942746050406e-05,
+      "loss": 0.9076,
+      "step": 701
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9426865469846773e-05,
+      "loss": 0.3349,
+      "step": 702
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9424784533809393e-05,
+      "loss": 0.9166,
+      "step": 703
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.942269993874615e-05,
+      "loss": 0.9124,
+      "step": 704
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9420611685466358e-05,
+      "loss": 0.9536,
+      "step": 705
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9418519774780748e-05,
+      "loss": 0.8626,
+      "step": 706
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9416424207501474e-05,
+      "loss": 0.8786,
+      "step": 707
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9414324984442102e-05,
+      "loss": 0.8622,
+      "step": 708
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9412222106417632e-05,
+      "loss": 0.8523,
+      "step": 709
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9410115574244462e-05,
+      "loss": 0.925,
+      "step": 710
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9408005388740433e-05,
+      "loss": 0.8865,
+      "step": 711
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9405891550724778e-05,
+      "loss": 0.9329,
+      "step": 712
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.940377406101817e-05,
+      "loss": 0.9183,
+      "step": 713
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9401652920442694e-05,
+      "loss": 0.898,
+      "step": 714
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9399528129821842e-05,
+      "loss": 0.9814,
+      "step": 715
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939739968998054e-05,
+      "loss": 0.9015,
+      "step": 716
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939526760174511e-05,
+      "loss": 0.9451,
+      "step": 717
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.939313186594331e-05,
+      "loss": 0.9483,
+      "step": 718
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9390992483404308e-05,
+      "loss": 0.8557,
+      "step": 719
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938884945495868e-05,
+      "loss": 0.9138,
+      "step": 720
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9386702781438425e-05,
+      "loss": 0.9035,
+      "step": 721
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938455246367696e-05,
+      "loss": 0.9367,
+      "step": 722
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9382398502509107e-05,
+      "loss": 0.871,
+      "step": 723
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.938024089877111e-05,
+      "loss": 0.8884,
+      "step": 724
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9378079653300624e-05,
+      "loss": 0.9051,
+      "step": 725
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9375914766936723e-05,
+      "loss": 0.89,
+      "step": 726
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9373746240519884e-05,
+      "loss": 0.9244,
+      "step": 727
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.937157407489201e-05,
+      "loss": 0.9165,
+      "step": 728
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9369398270896403e-05,
+      "loss": 0.8867,
+      "step": 729
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.936721882937779e-05,
+      "loss": 0.3213,
+      "step": 730
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9365035751182307e-05,
+      "loss": 0.8976,
+      "step": 731
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.93628490371575e-05,
+      "loss": 0.8928,
+      "step": 732
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9360658688152322e-05,
+      "loss": 0.9122,
+      "step": 733
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9358464705017143e-05,
+      "loss": 0.8643,
+      "step": 734
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9356267088603745e-05,
+      "loss": 0.9225,
+      "step": 735
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9354065839765316e-05,
+      "loss": 0.8415,
+      "step": 736
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9351860959356462e-05,
+      "loss": 0.9131,
+      "step": 737
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9349652448233187e-05,
+      "loss": 0.8614,
+      "step": 738
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934744030725291e-05,
+      "loss": 0.8896,
+      "step": 739
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934522453727447e-05,
+      "loss": 0.8694,
+      "step": 740
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.93430051391581e-05,
+      "loss": 0.8712,
+      "step": 741
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.934078211376544e-05,
+      "loss": 0.8971,
+      "step": 742
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9338555461959554e-05,
+      "loss": 0.8973,
+      "step": 743
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.93363251846049e-05,
+      "loss": 0.9034,
+      "step": 744
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9334091282567352e-05,
+      "loss": 0.885,
+      "step": 745
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9331853756714185e-05,
+      "loss": 0.9106,
+      "step": 746
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9329612607914088e-05,
+      "loss": 0.891,
+      "step": 747
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9327367837037142e-05,
+      "loss": 0.3476,
+      "step": 748
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9325119444954855e-05,
+      "loss": 0.3231,
+      "step": 749
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9322867432540126e-05,
+      "loss": 0.9113,
+      "step": 750
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9320611800667268e-05,
+      "loss": 0.9338,
+      "step": 751
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9318352550211986e-05,
+      "loss": 0.9064,
+      "step": 752
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 1.9316089682051403e-05,
+      "loss": 0.8577,
+      "step": 753
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9313823197064042e-05,
+      "loss": 0.8869,
+      "step": 754
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9311553096129835e-05,
+      "loss": 0.8844,
+      "step": 755
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9309279380130112e-05,
+      "loss": 0.8963,
+      "step": 756
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.93070020499476e-05,
+      "loss": 0.9671,
+      "step": 757
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930472110646645e-05,
+      "loss": 0.9519,
+      "step": 758
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9302436550572187e-05,
+      "loss": 0.897,
+      "step": 759
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.930014838315177e-05,
+      "loss": 0.9109,
+      "step": 760
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9297856605093534e-05,
+      "loss": 0.8638,
+      "step": 761
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9295561217287226e-05,
+      "loss": 0.874,
+      "step": 762
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9293262220624002e-05,
+      "loss": 0.93,
+      "step": 763
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9290959615996407e-05,
+      "loss": 0.8818,
+      "step": 764
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9288653404298392e-05,
+      "loss": 0.912,
+      "step": 765
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9286343586425307e-05,
+      "loss": 0.8512,
+      "step": 766
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9284030163273907e-05,
+      "loss": 0.8995,
+      "step": 767
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9281713135742333e-05,
+      "loss": 0.8944,
+      "step": 768
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9279392504730147e-05,
+      "loss": 0.8893,
+      "step": 769
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9277068271138287e-05,
+      "loss": 0.9624,
+      "step": 770
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9274740435869107e-05,
+      "loss": 0.8744,
+      "step": 771
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.927240899982635e-05,
+      "loss": 0.8818,
+      "step": 772
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9270073963915162e-05,
+      "loss": 0.8995,
+      "step": 773
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9267735329042086e-05,
+      "loss": 0.9238,
+      "step": 774
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9265393096115056e-05,
+      "loss": 0.8608,
+      "step": 775
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.926304726604341e-05,
+      "loss": 0.8722,
+      "step": 776
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9260697839737875e-05,
+      "loss": 0.8997,
+      "step": 777
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925834481811059e-05,
+      "loss": 0.8396,
+      "step": 778
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9255988202075065e-05,
+      "loss": 0.9178,
+      "step": 779
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.925362799254623e-05,
+      "loss": 0.8585,
+      "step": 780
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9251264190440398e-05,
+      "loss": 0.9007,
+      "step": 781
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9248896796675277e-05,
+      "loss": 0.8532,
+      "step": 782
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.924652581216997e-05,
+      "loss": 0.909,
+      "step": 783
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9244151237844975e-05,
+      "loss": 0.8778,
+      "step": 784
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9241773074622182e-05,
+      "loss": 0.8596,
+      "step": 785
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923939132342488e-05,
+      "loss": 0.9215,
+      "step": 786
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923700598517775e-05,
+      "loss": 0.7814,
+      "step": 787
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923461706080685e-05,
+      "loss": 0.8466,
+      "step": 788
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.923222455123965e-05,
+      "loss": 0.3695,
+      "step": 789
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9229828457405005e-05,
+      "loss": 0.9136,
+      "step": 790
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9227428780233162e-05,
+      "loss": 0.3855,
+      "step": 791
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.922502552065576e-05,
+      "loss": 0.9294,
+      "step": 792
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.922261867960582e-05,
+      "loss": 0.3249,
+      "step": 793
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9220208258017763e-05,
+      "loss": 0.887,
+      "step": 794
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.92177942568274e-05,
+      "loss": 0.9027,
+      "step": 795
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.921537667697193e-05,
+      "loss": 0.9404,
+      "step": 796
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9212955519389938e-05,
+      "loss": 0.8926,
+      "step": 797
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9210530785021405e-05,
+      "loss": 0.9267,
+      "step": 798
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9208102474807692e-05,
+      "loss": 0.8465,
+      "step": 799
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.920567058969155e-05,
+      "loss": 0.9111,
+      "step": 800
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.920323513061713e-05,
+      "loss": 0.8627,
+      "step": 801
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9200796098529956e-05,
+      "loss": 0.8279,
+      "step": 802
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.919835349437694e-05,
+      "loss": 0.8603,
+      "step": 803
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9195907319106394e-05,
+      "loss": 0.8866,
+      "step": 804
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 1.9193457573667996e-05,
+      "loss": 0.8401,
+      "step": 805
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.919100425901283e-05,
+      "loss": 0.8145,
+      "step": 806
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9188547376093355e-05,
+      "loss": 0.9411,
+      "step": 807
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.918608692586342e-05,
+      "loss": 0.8824,
+      "step": 808
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.918362290927825e-05,
+      "loss": 0.8721,
+      "step": 809
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9181155327294468e-05,
+      "loss": 0.8843,
+      "step": 810
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9178684180870072e-05,
+      "loss": 0.859,
+      "step": 811
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9176209470964446e-05,
+      "loss": 0.8974,
+      "step": 812
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9173731198538354e-05,
+      "loss": 0.832,
+      "step": 813
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9171249364553956e-05,
+      "loss": 0.9092,
+      "step": 814
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9168763969974773e-05,
+      "loss": 0.9087,
+      "step": 815
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.916627501576573e-05,
+      "loss": 0.8527,
+      "step": 816
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.916378250289312e-05,
+      "loss": 0.9276,
+      "step": 817
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9161286432324628e-05,
+      "loss": 0.8873,
+      "step": 818
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9158786805029307e-05,
+      "loss": 0.9001,
+      "step": 819
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9156283621977603e-05,
+      "loss": 0.8775,
+      "step": 820
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9153776884141336e-05,
+      "loss": 0.8698,
+      "step": 821
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.915126659249371e-05,
+      "loss": 0.8409,
+      "step": 822
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9148752748009304e-05,
+      "loss": 0.9077,
+      "step": 823
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.914623535166408e-05,
+      "loss": 0.9384,
+      "step": 824
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9143714404435382e-05,
+      "loss": 0.9073,
+      "step": 825
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9141189907301922e-05,
+      "loss": 0.9312,
+      "step": 826
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9138661861243802e-05,
+      "loss": 0.8689,
+      "step": 827
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.913613026724249e-05,
+      "loss": 0.9086,
+      "step": 828
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9133595126280848e-05,
+      "loss": 0.8516,
+      "step": 829
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9131056439343095e-05,
+      "loss": 0.8701,
+      "step": 830
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9128514207414838e-05,
+      "loss": 0.8606,
+      "step": 831
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9125968431483068e-05,
+      "loss": 0.8316,
+      "step": 832
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9123419112536132e-05,
+      "loss": 0.9086,
+      "step": 833
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.912086625156377e-05,
+      "loss": 0.9558,
+      "step": 834
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.911830984955709e-05,
+      "loss": 0.8626,
+      "step": 835
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.911574990750857e-05,
+      "loss": 0.8979,
+      "step": 836
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9113186426412073e-05,
+      "loss": 0.9017,
+      "step": 837
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9110619407262828e-05,
+      "loss": 0.3524,
+      "step": 838
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9108048851057447e-05,
+      "loss": 0.9186,
+      "step": 839
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9105474758793897e-05,
+      "loss": 0.8759,
+      "step": 840
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9102897131471536e-05,
+      "loss": 0.9277,
+      "step": 841
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9100315970091088e-05,
+      "loss": 0.8726,
+      "step": 842
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9097731275654645e-05,
+      "loss": 0.8885,
+      "step": 843
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.909514304916568e-05,
+      "loss": 0.8931,
+      "step": 844
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9092551291629026e-05,
+      "loss": 0.8959,
+      "step": 845
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9089956004050893e-05,
+      "loss": 0.3323,
+      "step": 846
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.908735718743887e-05,
+      "loss": 0.3365,
+      "step": 847
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.908475484280189e-05,
+      "loss": 0.9411,
+      "step": 848
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.908214897115029e-05,
+      "loss": 0.9046,
+      "step": 849
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.907953957349575e-05,
+      "loss": 0.8681,
+      "step": 850
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.907692665085133e-05,
+      "loss": 0.9209,
+      "step": 851
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9074310204231457e-05,
+      "loss": 0.8902,
+      "step": 852
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9071690234651923e-05,
+      "loss": 0.9219,
+      "step": 853
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9069066743129893e-05,
+      "loss": 0.784,
+      "step": 854
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.90664397306839e-05,
+      "loss": 0.8678,
+      "step": 855
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9063809198333832e-05,
+      "loss": 0.8588,
+      "step": 856
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 1.9061175147100957e-05,
+      "loss": 0.8748,
+      "step": 857
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.905853757800791e-05,
+      "loss": 0.9338,
+      "step": 858
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9055896492078675e-05,
+      "loss": 0.8926,
+      "step": 859
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.905325189033862e-05,
+      "loss": 0.8531,
+      "step": 860
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.905060377381447e-05,
+      "loss": 0.8918,
+      "step": 861
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.904795214353431e-05,
+      "loss": 0.9649,
+      "step": 862
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.90452970005276e-05,
+      "loss": 0.8459,
+      "step": 863
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9042638345825155e-05,
+      "loss": 0.9108,
+      "step": 864
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9039976180459158e-05,
+      "loss": 0.8735,
+      "step": 865
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9037310505463153e-05,
+      "loss": 0.3104,
+      "step": 866
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9034641321872043e-05,
+      "loss": 0.9135,
+      "step": 867
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9031968630722104e-05,
+      "loss": 0.9094,
+      "step": 868
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.902929243305096e-05,
+      "loss": 0.8779,
+      "step": 869
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.902661272989761e-05,
+      "loss": 0.8603,
+      "step": 870
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9023929522302394e-05,
+      "loss": 0.8743,
+      "step": 871
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9021242811307044e-05,
+      "loss": 0.8414,
+      "step": 872
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901855259795462e-05,
+      "loss": 0.856,
+      "step": 873
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9015858883289556e-05,
+      "loss": 0.8752,
+      "step": 874
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9013161668357655e-05,
+      "loss": 0.863,
+      "step": 875
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.901046095420606e-05,
+      "loss": 0.8427,
+      "step": 876
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9007756741883284e-05,
+      "loss": 0.8781,
+      "step": 877
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9005049032439193e-05,
+      "loss": 0.883,
+      "step": 878
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.9002337826925012e-05,
+      "loss": 0.8991,
+      "step": 879
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.899962312639333e-05,
+      "loss": 0.8625,
+      "step": 880
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8996904931898085e-05,
+      "loss": 0.3373,
+      "step": 881
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.899418324449457e-05,
+      "loss": 0.8319,
+      "step": 882
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8991458065239444e-05,
+      "loss": 0.8865,
+      "step": 883
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8988729395190712e-05,
+      "loss": 0.8968,
+      "step": 884
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8985997235407735e-05,
+      "loss": 0.9066,
+      "step": 885
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.898326158695124e-05,
+      "loss": 0.9241,
+      "step": 886
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8980522450883287e-05,
+      "loss": 0.8495,
+      "step": 887
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8977779828267314e-05,
+      "loss": 0.9138,
+      "step": 888
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8975033720168094e-05,
+      "loss": 0.834,
+      "step": 889
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.897228412765177e-05,
+      "loss": 0.888,
+      "step": 890
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.896953105178582e-05,
+      "loss": 0.9025,
+      "step": 891
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8966774493639084e-05,
+      "loss": 0.908,
+      "step": 892
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.896401445428176e-05,
+      "loss": 0.9456,
+      "step": 893
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.896125093478538e-05,
+      "loss": 0.8033,
+      "step": 894
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.895848393622284e-05,
+      "loss": 0.8582,
+      "step": 895
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.895571345966839e-05,
+      "loss": 0.8474,
+      "step": 896
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8952939506197622e-05,
+      "loss": 0.3492,
+      "step": 897
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8950162076887477e-05,
+      "loss": 0.8657,
+      "step": 898
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.894738117281625e-05,
+      "loss": 0.8616,
+      "step": 899
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8944596795063584e-05,
+      "loss": 0.9017,
+      "step": 900
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.894180894471047e-05,
+      "loss": 0.9053,
+      "step": 901
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8939017622839253e-05,
+      "loss": 0.8843,
+      "step": 902
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8936222830533613e-05,
+      "loss": 0.8685,
+      "step": 903
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8933424568878586e-05,
+      "loss": 0.8473,
+      "step": 904
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8930622838960555e-05,
+      "loss": 0.9302,
+      "step": 905
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8927817641867244e-05,
+      "loss": 0.9093,
+      "step": 906
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8925008978687737e-05,
+      "loss": 0.8295,
+      "step": 907
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8922196850512446e-05,
+      "loss": 0.3614,
+      "step": 908
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8919381258433135e-05,
+      "loss": 0.8964,
+      "step": 909
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8916562203542916e-05,
+      "loss": 0.8826,
+      "step": 910
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8913739686936244e-05,
+      "loss": 0.8854,
+      "step": 911
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8910913709708918e-05,
+      "loss": 0.9018,
+      "step": 912
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8908084272958077e-05,
+      "loss": 0.8715,
+      "step": 913
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8905251377782206e-05,
+      "loss": 0.8397,
+      "step": 914
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8902415025281136e-05,
+      "loss": 0.9047,
+      "step": 915
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.889957521655603e-05,
+      "loss": 0.8695,
+      "step": 916
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8896731952709408e-05,
+      "loss": 0.8506,
+      "step": 917
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8893885234845117e-05,
+      "loss": 0.9,
+      "step": 918
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8891035064068354e-05,
+      "loss": 0.8711,
+      "step": 919
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.888818144148565e-05,
+      "loss": 0.8785,
+      "step": 920
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.888532436820488e-05,
+      "loss": 0.8127,
+      "step": 921
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8882463845335263e-05,
+      "loss": 0.8218,
+      "step": 922
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8879599873987343e-05,
+      "loss": 0.8377,
+      "step": 923
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8876732455273022e-05,
+      "loss": 0.848,
+      "step": 924
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8873861590305527e-05,
+      "loss": 0.9096,
+      "step": 925
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8870987280199428e-05,
+      "loss": 0.3734,
+      "step": 926
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.886810952607063e-05,
+      "loss": 0.9137,
+      "step": 927
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8865228329036372e-05,
+      "loss": 0.8632,
+      "step": 928
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.886234369021524e-05,
+      "loss": 0.9335,
+      "step": 929
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.885945561072715e-05,
+      "loss": 0.8722,
+      "step": 930
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.885656409169335e-05,
+      "loss": 0.8707,
+      "step": 931
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.885366913423643e-05,
+      "loss": 0.91,
+      "step": 932
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8850770739480312e-05,
+      "loss": 0.9222,
+      "step": 933
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8847868908550252e-05,
+      "loss": 0.8176,
+      "step": 934
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8844963642572837e-05,
+      "loss": 0.8455,
+      "step": 935
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8842054942676e-05,
+      "loss": 0.8787,
+      "step": 936
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8839142809988987e-05,
+      "loss": 0.8368,
+      "step": 937
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.88362272456424e-05,
+      "loss": 0.821,
+      "step": 938
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8833308250768153e-05,
+      "loss": 0.8578,
+      "step": 939
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8830385826499507e-05,
+      "loss": 0.8626,
+      "step": 940
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.882745997397104e-05,
+      "loss": 0.8671,
+      "step": 941
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8824530694318675e-05,
+      "loss": 0.8569,
+      "step": 942
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.882159798867966e-05,
+      "loss": 0.8639,
+      "step": 943
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8818661858192562e-05,
+      "loss": 0.9409,
+      "step": 944
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.88157223039973e-05,
+      "loss": 0.8947,
+      "step": 945
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8812779327235106e-05,
+      "loss": 0.3657,
+      "step": 946
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.880983292904854e-05,
+      "loss": 0.8852,
+      "step": 947
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.88068831105815e-05,
+      "loss": 0.8894,
+      "step": 948
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8803929872979214e-05,
+      "loss": 0.8872,
+      "step": 949
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8800973217388215e-05,
+      "loss": 0.8692,
+      "step": 950
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.879801314495639e-05,
+      "loss": 0.8883,
+      "step": 951
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.879504965683294e-05,
+      "loss": 0.9068,
+      "step": 952
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8792082754168385e-05,
+      "loss": 0.8293,
+      "step": 953
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.878911243811459e-05,
+      "loss": 0.8343,
+      "step": 954
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8786138709824726e-05,
+      "loss": 0.8023,
+      "step": 955
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8783161570453295e-05,
+      "loss": 0.8378,
+      "step": 956
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.878018102115614e-05,
+      "loss": 0.88,
+      "step": 957
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.8777197063090394e-05,
+      "loss": 0.8532,
+      "step": 958
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.877420969741454e-05,
+      "loss": 0.8586,
+      "step": 959
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.877121892528838e-05,
+      "loss": 0.8765,
+      "step": 960
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 1.876822474787303e-05,
+      "loss": 0.8752,
+      "step": 961
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8765227166330933e-05,
+      "loss": 0.8965,
+      "step": 962
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8762226181825857e-05,
+      "loss": 0.8916,
+      "step": 963
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.875922179552288e-05,
+      "loss": 0.9291,
+      "step": 964
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.875621400858842e-05,
+      "loss": 0.9153,
+      "step": 965
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.875320282219019e-05,
+      "loss": 0.8647,
+      "step": 966
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8750188237497247e-05,
+      "loss": 0.887,
+      "step": 967
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.874717025567995e-05,
+      "loss": 0.7989,
+      "step": 968
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.874414887790999e-05,
+      "loss": 0.9144,
+      "step": 969
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8741124105360363e-05,
+      "loss": 0.9185,
+      "step": 970
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873809593920539e-05,
+      "loss": 0.8067,
+      "step": 971
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8735064380620717e-05,
+      "loss": 0.9143,
+      "step": 972
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.873202943078329e-05,
+      "loss": 0.3481,
+      "step": 973
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8728991090871387e-05,
+      "loss": 0.8687,
+      "step": 974
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8725949362064596e-05,
+      "loss": 0.8656,
+      "step": 975
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8722904245543817e-05,
+      "loss": 0.9846,
+      "step": 976
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.871985574249127e-05,
+      "loss": 0.8783,
+      "step": 977
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8716803854090495e-05,
+      "loss": 0.8584,
+      "step": 978
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8713748581526334e-05,
+      "loss": 0.8468,
+      "step": 979
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.871068992598495e-05,
+      "loss": 0.8275,
+      "step": 980
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8707627888653816e-05,
+      "loss": 0.8652,
+      "step": 981
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8704562470721728e-05,
+      "loss": 0.862,
+      "step": 982
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.870149367337878e-05,
+      "loss": 0.8505,
+      "step": 983
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8698421497816386e-05,
+      "loss": 0.8914,
+      "step": 984
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.869534594522727e-05,
+      "loss": 0.9014,
+      "step": 985
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8692267016805473e-05,
+      "loss": 0.9281,
+      "step": 986
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8689184713746333e-05,
+      "loss": 0.9185,
+      "step": 987
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.868609903724651e-05,
+      "loss": 0.859,
+      "step": 988
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8683009988503972e-05,
+      "loss": 0.8954,
+      "step": 989
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.867991756871799e-05,
+      "loss": 0.8803,
+      "step": 990
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.867682177908915e-05,
+      "loss": 0.9471,
+      "step": 991
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.867372262081934e-05,
+      "loss": 0.8376,
+      "step": 992
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8670620095111766e-05,
+      "loss": 0.8891,
+      "step": 993
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8667514203170934e-05,
+      "loss": 0.785,
+      "step": 994
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8664404946202658e-05,
+      "loss": 0.9406,
+      "step": 995
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8661292325414058e-05,
+      "loss": 0.8396,
+      "step": 996
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.865817634201356e-05,
+      "loss": 0.8786,
+      "step": 997
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8655056997210893e-05,
+      "loss": 0.8429,
+      "step": 998
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8651934292217097e-05,
+      "loss": 0.8248,
+      "step": 999
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.864880822824452e-05,
+      "loss": 0.8489,
+      "step": 1000
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8645678806506795e-05,
+      "loss": 0.8416,
+      "step": 1001
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.864254602821888e-05,
+      "loss": 0.3445,
+      "step": 1002
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8639409894597026e-05,
+      "loss": 0.9076,
+      "step": 1003
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8636270406858786e-05,
+      "loss": 0.8241,
+      "step": 1004
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8633127566223023e-05,
+      "loss": 0.902,
+      "step": 1005
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.862998137390989e-05,
+      "loss": 0.9295,
+      "step": 1006
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8626831831140845e-05,
+      "loss": 0.8754,
+      "step": 1007
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8623678939138652e-05,
+      "loss": 0.8841,
+      "step": 1008
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8620522699127374e-05,
+      "loss": 0.9237,
+      "step": 1009
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8617363112332376e-05,
+      "loss": 0.8626,
+      "step": 1010
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8614200179980307e-05,
+      "loss": 0.8861,
+      "step": 1011
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8611033903299136e-05,
+      "loss": 0.8898,
+      "step": 1012
+    },
+    {
+      "epoch": 0.19,
+      "learning_rate": 1.8607864283518116e-05,
+      "loss": 0.3901,
+      "step": 1013
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8604691321867804e-05,
+      "loss": 0.8195,
+      "step": 1014
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8601515019580053e-05,
+      "loss": 0.9281,
+      "step": 1015
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8598335377888012e-05,
+      "loss": 0.8738,
+      "step": 1016
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8595152398026128e-05,
+      "loss": 0.9113,
+      "step": 1017
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8591966081230142e-05,
+      "loss": 0.8764,
+      "step": 1018
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8588776428737095e-05,
+      "loss": 0.8844,
+      "step": 1019
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.858558344178532e-05,
+      "loss": 0.8939,
+      "step": 1020
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8582387121614437e-05,
+      "loss": 0.9234,
+      "step": 1021
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.857918746946538e-05,
+      "loss": 0.8698,
+      "step": 1022
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8575984486580353e-05,
+      "loss": 0.9144,
+      "step": 1023
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.857277817420287e-05,
+      "loss": 0.8863,
+      "step": 1024
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8569568533577727e-05,
+      "loss": 0.9391,
+      "step": 1025
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8566355565951023e-05,
+      "loss": 0.8479,
+      "step": 1026
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8563139272570142e-05,
+      "loss": 0.8928,
+      "step": 1027
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8559919654683756e-05,
+      "loss": 0.954,
+      "step": 1028
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8556696713541833e-05,
+      "loss": 0.9047,
+      "step": 1029
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.855347045039563e-05,
+      "loss": 0.896,
+      "step": 1030
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8550240866497697e-05,
+      "loss": 0.8764,
+      "step": 1031
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.854700796310186e-05,
+      "loss": 0.9202,
+      "step": 1032
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8543771741463254e-05,
+      "loss": 0.934,
+      "step": 1033
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8540532202838286e-05,
+      "loss": 0.9468,
+      "step": 1034
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8537289348484658e-05,
+      "loss": 0.8585,
+      "step": 1035
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8534043179661357e-05,
+      "loss": 0.868,
+      "step": 1036
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8530793697628658e-05,
+      "loss": 0.8266,
+      "step": 1037
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8527540903648122e-05,
+      "loss": 0.906,
+      "step": 1038
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8524284798982595e-05,
+      "loss": 0.8864,
+      "step": 1039
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.852102538489621e-05,
+      "loss": 0.8861,
+      "step": 1040
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8517762662654383e-05,
+      "loss": 0.9761,
+      "step": 1041
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.851449663352381e-05,
+      "loss": 0.8864,
+      "step": 1042
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.851122729877249e-05,
+      "loss": 0.8503,
+      "step": 1043
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8507954659669677e-05,
+      "loss": 0.845,
+      "step": 1044
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.850467871748593e-05,
+      "loss": 0.8174,
+      "step": 1045
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.850139947349308e-05,
+      "loss": 0.9294,
+      "step": 1046
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8498116928964244e-05,
+      "loss": 0.3299,
+      "step": 1047
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.849483108517381e-05,
+      "loss": 0.8032,
+      "step": 1048
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.849154194339747e-05,
+      "loss": 0.8591,
+      "step": 1049
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8488249504912173e-05,
+      "loss": 0.8626,
+      "step": 1050
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8484953770996163e-05,
+      "loss": 0.9209,
+      "step": 1051
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.848165474292895e-05,
+      "loss": 0.9184,
+      "step": 1052
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8478352421991334e-05,
+      "loss": 0.8636,
+      "step": 1053
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.847504680946539e-05,
+      "loss": 0.3427,
+      "step": 1054
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.847173790663447e-05,
+      "loss": 0.9028,
+      "step": 1055
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8468425714783206e-05,
+      "loss": 0.8236,
+      "step": 1056
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.84651102351975e-05,
+      "loss": 0.8922,
+      "step": 1057
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.846179146916454e-05,
+      "loss": 0.9114,
+      "step": 1058
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8458469417972783e-05,
+      "loss": 0.8778,
+      "step": 1059
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8455144082911965e-05,
+      "loss": 0.9031,
+      "step": 1060
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8451815465273097e-05,
+      "loss": 0.9082,
+      "step": 1061
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8448483566348456e-05,
+      "loss": 0.9205,
+      "step": 1062
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8445148387431605e-05,
+      "loss": 0.3434,
+      "step": 1063
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8441809929817382e-05,
+      "loss": 0.3499,
+      "step": 1064
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 1.8438468194801876e-05,
+      "loss": 0.8864,
+      "step": 1065
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8435123183682475e-05,
+      "loss": 0.9108,
+      "step": 1066
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8431774897757824e-05,
+      "loss": 0.8574,
+      "step": 1067
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8428423338327847e-05,
+      "loss": 0.8614,
+      "step": 1068
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8425068506693727e-05,
+      "loss": 0.8464,
+      "step": 1069
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.842171040415793e-05,
+      "loss": 0.8625,
+      "step": 1070
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8418349032024185e-05,
+      "loss": 0.8757,
+      "step": 1071
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8414984391597492e-05,
+      "loss": 0.8078,
+      "step": 1072
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8411616484184126e-05,
+      "loss": 0.9005,
+      "step": 1073
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8408245311091618e-05,
+      "loss": 0.9139,
+      "step": 1074
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8404870873628774e-05,
+      "loss": 0.8922,
+      "step": 1075
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8401493173105675e-05,
+      "loss": 0.8231,
+      "step": 1076
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8398112210833648e-05,
+      "loss": 0.9354,
+      "step": 1077
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8394727988125308e-05,
+      "loss": 0.8448,
+      "step": 1078
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8391340506294524e-05,
+      "loss": 0.9071,
+      "step": 1079
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8387949766656434e-05,
+      "loss": 0.8916,
+      "step": 1080
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8384555770527438e-05,
+      "loss": 0.9135,
+      "step": 1081
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8381158519225204e-05,
+      "loss": 0.8883,
+      "step": 1082
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8377758014068662e-05,
+      "loss": 0.8661,
+      "step": 1083
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8374354256378e-05,
+      "loss": 0.844,
+      "step": 1084
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.837094724747468e-05,
+      "loss": 0.864,
+      "step": 1085
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8367536988681422e-05,
+      "loss": 0.8653,
+      "step": 1086
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.83641234813222e-05,
+      "loss": 0.9141,
+      "step": 1087
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8360706726722253e-05,
+      "loss": 0.8782,
+      "step": 1088
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.835728672620809e-05,
+      "loss": 0.8002,
+      "step": 1089
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8353863481107473e-05,
+      "loss": 0.8788,
+      "step": 1090
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.835043699274942e-05,
+      "loss": 0.8552,
+      "step": 1091
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8347007262464206e-05,
+      "loss": 0.8469,
+      "step": 1092
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8343574291583385e-05,
+      "loss": 0.9026,
+      "step": 1093
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8340138081439743e-05,
+      "loss": 0.8579,
+      "step": 1094
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.833669863336734e-05,
+      "loss": 0.8551,
+      "step": 1095
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.833325594870148e-05,
+      "loss": 0.8212,
+      "step": 1096
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8329810028778747e-05,
+      "loss": 0.8383,
+      "step": 1097
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8326360874936952e-05,
+      "loss": 0.8844,
+      "step": 1098
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8322908488515182e-05,
+      "loss": 0.9276,
+      "step": 1099
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8319452870853772e-05,
+      "loss": 0.8837,
+      "step": 1100
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8315994023294306e-05,
+      "loss": 0.9401,
+      "step": 1101
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8312531947179634e-05,
+      "loss": 0.8747,
+      "step": 1102
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8309066643853854e-05,
+      "loss": 0.8497,
+      "step": 1103
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8305598114662312e-05,
+      "loss": 0.9027,
+      "step": 1104
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.830212636095161e-05,
+      "loss": 0.879,
+      "step": 1105
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8298651384069605e-05,
+      "loss": 0.8997,
+      "step": 1106
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8295173185365405e-05,
+      "loss": 0.8703,
+      "step": 1107
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.829169176618936e-05,
+      "loss": 0.9356,
+      "step": 1108
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.828820712789308e-05,
+      "loss": 0.8895,
+      "step": 1109
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.828471927182942e-05,
+      "loss": 0.8344,
+      "step": 1110
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.828122819935249e-05,
+      "loss": 0.8733,
+      "step": 1111
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8277733911817642e-05,
+      "loss": 0.3782,
+      "step": 1112
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8274236410581478e-05,
+      "loss": 0.8939,
+      "step": 1113
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.827073569700185e-05,
+      "loss": 0.8694,
+      "step": 1114
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8267231772437854e-05,
+      "loss": 0.8556,
+      "step": 1115
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8263724638249834e-05,
+      "loss": 0.3444,
+      "step": 1116
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 1.8260214295799382e-05,
+      "loss": 0.3516,
+      "step": 1117
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.825670074644933e-05,
+      "loss": 0.8584,
+      "step": 1118
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8253183991563768e-05,
+      "loss": 0.357,
+      "step": 1119
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.824966403250801e-05,
+      "loss": 0.8539,
+      "step": 1120
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8246140870648633e-05,
+      "loss": 0.9256,
+      "step": 1121
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8242614507353446e-05,
+      "loss": 0.8717,
+      "step": 1122
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8239084943991507e-05,
+      "loss": 0.7787,
+      "step": 1123
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.823555218193311e-05,
+      "loss": 0.8451,
+      "step": 1124
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8232016222549797e-05,
+      "loss": 0.884,
+      "step": 1125
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8228477067214352e-05,
+      "loss": 0.8644,
+      "step": 1126
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8224934717300794e-05,
+      "loss": 0.8615,
+      "step": 1127
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8221389174184385e-05,
+      "loss": 0.8132,
+      "step": 1128
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8217840439241633e-05,
+      "loss": 0.8912,
+      "step": 1129
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8214288513850267e-05,
+      "loss": 0.4223,
+      "step": 1130
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8210733399389277e-05,
+      "loss": 0.8478,
+      "step": 1131
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.820717509723888e-05,
+      "loss": 0.3581,
+      "step": 1132
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8203613608780525e-05,
+      "loss": 0.9251,
+      "step": 1133
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8200048935396908e-05,
+      "loss": 0.8014,
+      "step": 1134
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.819648107847196e-05,
+      "loss": 0.8827,
+      "step": 1135
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8192910039390844e-05,
+      "loss": 0.8745,
+      "step": 1136
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8189335819539963e-05,
+      "loss": 0.83,
+      "step": 1137
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8185758420306947e-05,
+      "loss": 0.8332,
+      "step": 1138
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.818217784308067e-05,
+      "loss": 0.9004,
+      "step": 1139
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.817859408925123e-05,
+      "loss": 0.8815,
+      "step": 1140
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.817500716020997e-05,
+      "loss": 0.8742,
+      "step": 1141
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8171417057349457e-05,
+      "loss": 0.8757,
+      "step": 1142
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.816782378206349e-05,
+      "loss": 0.3517,
+      "step": 1143
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8164227335747108e-05,
+      "loss": 0.8454,
+      "step": 1144
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8160627719796568e-05,
+      "loss": 0.901,
+      "step": 1145
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.815702493560937e-05,
+      "loss": 0.8809,
+      "step": 1146
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8153418984584238e-05,
+      "loss": 0.8608,
+      "step": 1147
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8149809868121125e-05,
+      "loss": 0.8372,
+      "step": 1148
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8146197587621217e-05,
+      "loss": 0.3668,
+      "step": 1149
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.814258214448692e-05,
+      "loss": 0.8928,
+      "step": 1150
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8138963540121878e-05,
+      "loss": 0.8136,
+      "step": 1151
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.813534177593096e-05,
+      "loss": 0.368,
+      "step": 1152
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8131716853320254e-05,
+      "loss": 0.9251,
+      "step": 1153
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8128088773697086e-05,
+      "loss": 0.909,
+      "step": 1154
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8124457538469996e-05,
+      "loss": 0.878,
+      "step": 1155
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8120823149048753e-05,
+      "loss": 0.866,
+      "step": 1156
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.811718560684436e-05,
+      "loss": 0.9341,
+      "step": 1157
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8113544913269025e-05,
+      "loss": 0.8518,
+      "step": 1158
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8109901069736202e-05,
+      "loss": 0.8431,
+      "step": 1159
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8106254077660552e-05,
+      "loss": 0.9023,
+      "step": 1160
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.810260393845796e-05,
+      "loss": 0.3313,
+      "step": 1161
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.809895065354554e-05,
+      "loss": 0.3279,
+      "step": 1162
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8095294224341622e-05,
+      "loss": 0.9081,
+      "step": 1163
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8091634652265755e-05,
+      "loss": 0.8718,
+      "step": 1164
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8087971938738715e-05,
+      "loss": 0.8801,
+      "step": 1165
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.808430608518249e-05,
+      "loss": 0.8887,
+      "step": 1166
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.808063709302029e-05,
+      "loss": 0.8337,
+      "step": 1167
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.807696496367655e-05,
+      "loss": 0.8876,
+      "step": 1168
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 1.8073289698576913e-05,
+      "loss": 0.3613,
+      "step": 1169
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8069611299148236e-05,
+      "loss": 0.8997,
+      "step": 1170
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8065929766818617e-05,
+      "loss": 0.9272,
+      "step": 1171
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.806224510301734e-05,
+      "loss": 0.8345,
+      "step": 1172
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8058557309174926e-05,
+      "loss": 0.822,
+      "step": 1173
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8054866386723096e-05,
+      "loss": 0.8346,
+      "step": 1174
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.80511723370948e-05,
+      "loss": 0.3465,
+      "step": 1175
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.804747516172419e-05,
+      "loss": 0.8114,
+      "step": 1176
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8043774862046644e-05,
+      "loss": 0.8714,
+      "step": 1177
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.804007143949874e-05,
+      "loss": 0.865,
+      "step": 1178
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8036364895518272e-05,
+      "loss": 0.896,
+      "step": 1179
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8032655231544253e-05,
+      "loss": 0.8255,
+      "step": 1180
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8028942449016903e-05,
+      "loss": 0.8939,
+      "step": 1181
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8025226549377647e-05,
+      "loss": 0.9135,
+      "step": 1182
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8021507534069133e-05,
+      "loss": 0.8617,
+      "step": 1183
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8017785404535198e-05,
+      "loss": 0.3481,
+      "step": 1184
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8014060162220916e-05,
+      "loss": 0.8358,
+      "step": 1185
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.801033180857254e-05,
+      "loss": 0.9162,
+      "step": 1186
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8006600345037558e-05,
+      "loss": 0.8311,
+      "step": 1187
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.8002865773064644e-05,
+      "loss": 0.8895,
+      "step": 1188
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.799912809410369e-05,
+      "loss": 0.8472,
+      "step": 1189
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.799538730960579e-05,
+      "loss": 0.8925,
+      "step": 1190
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.799164342102325e-05,
+      "loss": 0.8715,
+      "step": 1191
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7987896429809573e-05,
+      "loss": 0.8308,
+      "step": 1192
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.798414633741947e-05,
+      "loss": 0.8545,
+      "step": 1193
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7980393145308857e-05,
+      "loss": 0.8813,
+      "step": 1194
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.797663685493485e-05,
+      "loss": 0.8565,
+      "step": 1195
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7972877467755777e-05,
+      "loss": 0.868,
+      "step": 1196
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7969114985231152e-05,
+      "loss": 0.854,
+      "step": 1197
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.796534940882171e-05,
+      "loss": 0.8393,
+      "step": 1198
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7961580739989365e-05,
+      "loss": 0.8696,
+      "step": 1199
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.795780898019726e-05,
+      "loss": 0.8746,
+      "step": 1200
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.795403413090971e-05,
+      "loss": 0.8023,
+      "step": 1201
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7950256193592243e-05,
+      "loss": 0.3547,
+      "step": 1202
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.794647516971159e-05,
+      "loss": 0.8846,
+      "step": 1203
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7942691060735666e-05,
+      "loss": 0.8424,
+      "step": 1204
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.79389038681336e-05,
+      "loss": 0.9122,
+      "step": 1205
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7935113593375707e-05,
+      "loss": 0.8859,
+      "step": 1206
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7931320237933503e-05,
+      "loss": 0.8864,
+      "step": 1207
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.79275238032797e-05,
+      "loss": 0.867,
+      "step": 1208
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7923724290888205e-05,
+      "loss": 0.8931,
+      "step": 1209
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.791992170223412e-05,
+      "loss": 0.8716,
+      "step": 1210
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.791611603879374e-05,
+      "loss": 0.8488,
+      "step": 1211
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.791230730204455e-05,
+      "loss": 0.9397,
+      "step": 1212
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7908495493465236e-05,
+      "loss": 0.8439,
+      "step": 1213
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7904680614535675e-05,
+      "loss": 0.8212,
+      "step": 1214
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7900862666736935e-05,
+      "loss": 0.8279,
+      "step": 1215
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.789704165155127e-05,
+      "loss": 0.3453,
+      "step": 1216
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7893217570462134e-05,
+      "loss": 0.9429,
+      "step": 1217
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7889390424954168e-05,
+      "loss": 0.8132,
+      "step": 1218
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.78855602165132e-05,
+      "loss": 0.855,
+      "step": 1219
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.7881726946626244e-05,
+      "loss": 0.8762,
+      "step": 1220
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 1.787789061678151e-05,
+      "loss": 0.8441,
+      "step": 1221
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.78740512284684e-05,
+      "loss": 0.8346,
+      "step": 1222
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.787020878317749e-05,
+      "loss": 0.835,
+      "step": 1223
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7866363282400555e-05,
+      "loss": 0.8509,
+      "step": 1224
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7862514727630543e-05,
+      "loss": 0.3527,
+      "step": 1225
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7858663120361597e-05,
+      "loss": 0.8383,
+      "step": 1226
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.785480846208905e-05,
+      "loss": 0.3488,
+      "step": 1227
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7850950754309405e-05,
+      "loss": 0.8387,
+      "step": 1228
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7847089998520365e-05,
+      "loss": 0.9343,
+      "step": 1229
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7843226196220803e-05,
+      "loss": 0.9171,
+      "step": 1230
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.783935934891078e-05,
+      "loss": 0.8472,
+      "step": 1231
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7835489458091544e-05,
+      "loss": 0.8814,
+      "step": 1232
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7831616525265515e-05,
+      "loss": 0.8627,
+      "step": 1233
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7827740551936296e-05,
+      "loss": 0.8709,
+      "step": 1234
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7823861539608686e-05,
+      "loss": 0.8644,
+      "step": 1235
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7819979489788638e-05,
+      "loss": 0.792,
+      "step": 1236
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7816094403983298e-05,
+      "loss": 0.8497,
+      "step": 1237
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7812206283701002e-05,
+      "loss": 0.9068,
+      "step": 1238
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7808315130451244e-05,
+      "loss": 0.8814,
+      "step": 1239
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.78044209457447e-05,
+      "loss": 0.8837,
+      "step": 1240
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7800523731093232e-05,
+      "loss": 0.8111,
+      "step": 1241
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7796623488009875e-05,
+      "loss": 0.3421,
+      "step": 1242
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7792720218008826e-05,
+      "loss": 0.8288,
+      "step": 1243
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7788813922605488e-05,
+      "loss": 0.843,
+      "step": 1244
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7784904603316402e-05,
+      "loss": 0.9009,
+      "step": 1245
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7780992261659305e-05,
+      "loss": 0.864,
+      "step": 1246
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.777707689915311e-05,
+      "loss": 0.8372,
+      "step": 1247
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.777315851731789e-05,
+      "loss": 0.8466,
+      "step": 1248
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7769237117674893e-05,
+      "loss": 0.8986,
+      "step": 1249
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7765312701746543e-05,
+      "loss": 0.8374,
+      "step": 1250
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7761385271056436e-05,
+      "loss": 0.8724,
+      "step": 1251
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7757454827129338e-05,
+      "loss": 0.9298,
+      "step": 1252
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7753521371491174e-05,
+      "loss": 0.8315,
+      "step": 1253
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7749584905669057e-05,
+      "loss": 0.851,
+      "step": 1254
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.774564543119125e-05,
+      "loss": 0.3317,
+      "step": 1255
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7741702949587196e-05,
+      "loss": 0.8512,
+      "step": 1256
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7737757462387507e-05,
+      "loss": 0.8749,
+      "step": 1257
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7733808971123946e-05,
+      "loss": 0.8424,
+      "step": 1258
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7729857477329463e-05,
+      "loss": 0.8576,
+      "step": 1259
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7725902982538162e-05,
+      "loss": 0.8689,
+      "step": 1260
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.772194548828531e-05,
+      "loss": 0.8927,
+      "step": 1261
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7717984996107346e-05,
+      "loss": 0.8936,
+      "step": 1262
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.771402150754187e-05,
+      "loss": 0.8592,
+      "step": 1263
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7710055024127637e-05,
+      "loss": 0.8731,
+      "step": 1264
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7706085547404582e-05,
+      "loss": 0.8593,
+      "step": 1265
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.770211307891379e-05,
+      "loss": 0.875,
+      "step": 1266
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.769813762019751e-05,
+      "loss": 0.9365,
+      "step": 1267
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.769415917279915e-05,
+      "loss": 0.8713,
+      "step": 1268
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7690177738263284e-05,
+      "loss": 0.8005,
+      "step": 1269
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7686193318135635e-05,
+      "loss": 0.9086,
+      "step": 1270
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.76822059139631e-05,
+      "loss": 0.3567,
+      "step": 1271
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.7678215527293724e-05,
+      "loss": 0.8775,
+      "step": 1272
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 1.767422215967671e-05,
+      "loss": 0.8382,
+      "step": 1273
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.767022581266242e-05,
+      "loss": 0.84,
+      "step": 1274
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.766622648780238e-05,
+      "loss": 0.8815,
+      "step": 1275
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.766222418664926e-05,
+      "loss": 0.8372,
+      "step": 1276
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.765821891075689e-05,
+      "loss": 0.8149,
+      "step": 1277
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7654210661680263e-05,
+      "loss": 0.868,
+      "step": 1278
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.765019944097551e-05,
+      "loss": 0.8534,
+      "step": 1279
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7646185250199936e-05,
+      "loss": 0.8367,
+      "step": 1280
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7642168090911976e-05,
+      "loss": 0.824,
+      "step": 1281
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.763814796467124e-05,
+      "loss": 0.8816,
+      "step": 1282
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.763412487303847e-05,
+      "loss": 0.8721,
+      "step": 1283
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7630098817575578e-05,
+      "loss": 0.8502,
+      "step": 1284
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.762606979984561e-05,
+      "loss": 0.8937,
+      "step": 1285
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7622037821412775e-05,
+      "loss": 0.8719,
+      "step": 1286
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7618002883842426e-05,
+      "loss": 0.8824,
+      "step": 1287
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7613964988701057e-05,
+      "loss": 0.8935,
+      "step": 1288
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7609924137556326e-05,
+      "loss": 0.3572,
+      "step": 1289
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7605880331977022e-05,
+      "loss": 0.8465,
+      "step": 1290
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.76018335735331e-05,
+      "loss": 0.8633,
+      "step": 1291
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7597783863795644e-05,
+      "loss": 0.8853,
+      "step": 1292
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7593731204336895e-05,
+      "loss": 0.924,
+      "step": 1293
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7589675596730233e-05,
+      "loss": 0.3597,
+      "step": 1294
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.758561704255018e-05,
+      "loss": 0.8597,
+      "step": 1295
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7581555543372413e-05,
+      "loss": 0.9151,
+      "step": 1296
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7577491100773744e-05,
+      "loss": 0.9213,
+      "step": 1297
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7573423716332128e-05,
+      "loss": 0.3537,
+      "step": 1298
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7569353391626665e-05,
+      "loss": 0.894,
+      "step": 1299
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7565280128237595e-05,
+      "loss": 0.8264,
+      "step": 1300
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.75612039277463e-05,
+      "loss": 0.3642,
+      "step": 1301
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.75571247917353e-05,
+      "loss": 0.8791,
+      "step": 1302
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7553042721788255e-05,
+      "loss": 0.8302,
+      "step": 1303
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.754895771948997e-05,
+      "loss": 0.8966,
+      "step": 1304
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.754486978642637e-05,
+      "loss": 0.8404,
+      "step": 1305
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7540778924184553e-05,
+      "loss": 0.8811,
+      "step": 1306
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7536685134352717e-05,
+      "loss": 0.8513,
+      "step": 1307
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7532588418520215e-05,
+      "loss": 0.3534,
+      "step": 1308
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7528488778277535e-05,
+      "loss": 0.9306,
+      "step": 1309
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.75243862152163e-05,
+      "loss": 0.8408,
+      "step": 1310
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.752028073092926e-05,
+      "loss": 0.8801,
+      "step": 1311
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7516172327010314e-05,
+      "loss": 0.8537,
+      "step": 1312
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.751206100505448e-05,
+      "loss": 0.8297,
+      "step": 1313
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7507946766657914e-05,
+      "loss": 0.8619,
+      "step": 1314
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7503829613417905e-05,
+      "loss": 0.8654,
+      "step": 1315
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.749970954693288e-05,
+      "loss": 0.8567,
+      "step": 1316
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7495586568802384e-05,
+      "loss": 0.8983,
+      "step": 1317
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7491460680627105e-05,
+      "loss": 0.8631,
+      "step": 1318
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7487331884008845e-05,
+      "loss": 0.9091,
+      "step": 1319
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7483200180550554e-05,
+      "loss": 0.8725,
+      "step": 1320
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.74790655718563e-05,
+      "loss": 0.8494,
+      "step": 1321
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.747492805953128e-05,
+      "loss": 0.8338,
+      "step": 1322
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7470787645181818e-05,
+      "loss": 0.8803,
+      "step": 1323
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7466644330415362e-05,
+      "loss": 0.3446,
+      "step": 1324
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 1.7462498116840496e-05,
+      "loss": 0.8153,
+      "step": 1325
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.745834900606692e-05,
+      "loss": 0.8278,
+      "step": 1326
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7454196999705458e-05,
+      "loss": 0.8305,
+      "step": 1327
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7450042099368066e-05,
+      "loss": 0.9119,
+      "step": 1328
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7445884306667823e-05,
+      "loss": 0.8502,
+      "step": 1329
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7441723623218917e-05,
+      "loss": 0.8278,
+      "step": 1330
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7437560050636678e-05,
+      "loss": 0.9378,
+      "step": 1331
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7433393590537543e-05,
+      "loss": 0.8317,
+      "step": 1332
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7429224244539077e-05,
+      "loss": 0.855,
+      "step": 1333
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7425052014259965e-05,
+      "loss": 0.8872,
+      "step": 1334
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7420876901320006e-05,
+      "loss": 0.8555,
+      "step": 1335
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7416698907340128e-05,
+      "loss": 0.8882,
+      "step": 1336
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.741251803394237e-05,
+      "loss": 0.9092,
+      "step": 1337
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.740833428274989e-05,
+      "loss": 0.8638,
+      "step": 1338
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7404147655386966e-05,
+      "loss": 0.8591,
+      "step": 1339
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.739995815347899e-05,
+      "loss": 0.8435,
+      "step": 1340
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.739576577865247e-05,
+      "loss": 0.8985,
+      "step": 1341
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.739157053253503e-05,
+      "loss": 0.8513,
+      "step": 1342
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.738737241675541e-05,
+      "loss": 0.8491,
+      "step": 1343
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7383171432943466e-05,
+      "loss": 0.8669,
+      "step": 1344
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.737896758273016e-05,
+      "loss": 0.8363,
+      "step": 1345
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7374760867747574e-05,
+      "loss": 0.9005,
+      "step": 1346
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7370551289628895e-05,
+      "loss": 0.8679,
+      "step": 1347
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7366338850008432e-05,
+      "loss": 0.8519,
+      "step": 1348
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.73621235505216e-05,
+      "loss": 0.8214,
+      "step": 1349
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7357905392804918e-05,
+      "loss": 0.8903,
+      "step": 1350
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.735368437849602e-05,
+      "loss": 0.8486,
+      "step": 1351
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7349460509233654e-05,
+      "loss": 0.3357,
+      "step": 1352
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.734523378665767e-05,
+      "loss": 0.8345,
+      "step": 1353
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7341004212409026e-05,
+      "loss": 0.8721,
+      "step": 1354
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7336771788129785e-05,
+      "loss": 0.9226,
+      "step": 1355
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7332536515463126e-05,
+      "loss": 0.9375,
+      "step": 1356
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7328298396053324e-05,
+      "loss": 0.9159,
+      "step": 1357
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7324057431545768e-05,
+      "loss": 0.8655,
+      "step": 1358
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7319813623586935e-05,
+      "loss": 0.8935,
+      "step": 1359
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7315566973824433e-05,
+      "loss": 0.8819,
+      "step": 1360
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7311317483906946e-05,
+      "loss": 0.8294,
+      "step": 1361
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.730706515548427e-05,
+      "loss": 0.8721,
+      "step": 1362
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.730280999020732e-05,
+      "loss": 0.8668,
+      "step": 1363
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.729855198972808e-05,
+      "loss": 0.837,
+      "step": 1364
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.729429115569967e-05,
+      "loss": 0.8721,
+      "step": 1365
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.729002748977628e-05,
+      "loss": 0.9001,
+      "step": 1366
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7285760993613215e-05,
+      "loss": 0.8178,
+      "step": 1367
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7281491668866874e-05,
+      "loss": 0.9057,
+      "step": 1368
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.727721951719476e-05,
+      "loss": 0.8514,
+      "step": 1369
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7272944540255468e-05,
+      "loss": 0.8592,
+      "step": 1370
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.726866673970869e-05,
+      "loss": 0.8953,
+      "step": 1371
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7264386117215216e-05,
+      "loss": 0.888,
+      "step": 1372
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7260102674436933e-05,
+      "loss": 0.8108,
+      "step": 1373
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7255816413036818e-05,
+      "loss": 0.3674,
+      "step": 1374
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7251527334678946e-05,
+      "loss": 0.9162,
+      "step": 1375
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7247235441028486e-05,
+      "loss": 0.3569,
+      "step": 1376
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 1.7242940733751696e-05,
+      "loss": 0.8635,
+      "step": 1377
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7238643214515934e-05,
+      "loss": 0.8591,
+      "step": 1378
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7234342884989642e-05,
+      "loss": 0.9057,
+      "step": 1379
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7230039746842352e-05,
+      "loss": 0.916,
+      "step": 1380
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7225733801744698e-05,
+      "loss": 0.8795,
+      "step": 1381
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7221425051368394e-05,
+      "loss": 0.8068,
+      "step": 1382
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7217113497386245e-05,
+      "loss": 0.8442,
+      "step": 1383
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.721279914147214e-05,
+      "loss": 0.8968,
+      "step": 1384
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7208481985301065e-05,
+      "loss": 0.8344,
+      "step": 1385
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7204162030549093e-05,
+      "loss": 0.8548,
+      "step": 1386
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7199839278893368e-05,
+      "loss": 0.8672,
+      "step": 1387
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.719551373201214e-05,
+      "loss": 0.8696,
+      "step": 1388
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7191185391584736e-05,
+      "loss": 0.8056,
+      "step": 1389
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7186854259291558e-05,
+      "loss": 0.3561,
+      "step": 1390
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7182520336814105e-05,
+      "loss": 0.8485,
+      "step": 1391
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.717818362583496e-05,
+      "loss": 0.8224,
+      "step": 1392
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7173844128037777e-05,
+      "loss": 0.8811,
+      "step": 1393
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.71695018451073e-05,
+      "loss": 0.3809,
+      "step": 1394
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7165156778729355e-05,
+      "loss": 0.8576,
+      "step": 1395
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7160808930590845e-05,
+      "loss": 0.926,
+      "step": 1396
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7156458302379753e-05,
+      "loss": 0.3346,
+      "step": 1397
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7152104895785147e-05,
+      "loss": 0.8653,
+      "step": 1398
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7147748712497162e-05,
+      "loss": 0.8684,
+      "step": 1399
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7143389754207026e-05,
+      "loss": 0.8358,
+      "step": 1400
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.713902802260703e-05,
+      "loss": 0.8614,
+      "step": 1401
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7134663519390557e-05,
+      "loss": 0.856,
+      "step": 1402
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7130296246252048e-05,
+      "loss": 0.8028,
+      "step": 1403
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7125926204887034e-05,
+      "loss": 0.8625,
+      "step": 1404
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.712155339699211e-05,
+      "loss": 0.8462,
+      "step": 1405
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7117177824264962e-05,
+      "loss": 0.8429,
+      "step": 1406
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7112799488404327e-05,
+      "loss": 0.8459,
+      "step": 1407
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7108418391110033e-05,
+      "loss": 0.848,
+      "step": 1408
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7104034534082968e-05,
+      "loss": 0.8623,
+      "step": 1409
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7099647919025096e-05,
+      "loss": 0.8874,
+      "step": 1410
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7095258547639456e-05,
+      "loss": 0.8705,
+      "step": 1411
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.709086642163015e-05,
+      "loss": 0.8193,
+      "step": 1412
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7086471542702355e-05,
+      "loss": 0.8701,
+      "step": 1413
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.708207391256231e-05,
+      "loss": 0.3606,
+      "step": 1414
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.707767353291733e-05,
+      "loss": 0.8837,
+      "step": 1415
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7073270405475796e-05,
+      "loss": 0.8599,
+      "step": 1416
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7068864531947147e-05,
+      "loss": 0.8112,
+      "step": 1417
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.70644559140419e-05,
+      "loss": 0.8745,
+      "step": 1418
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.706004455347163e-05,
+      "loss": 0.8533,
+      "step": 1419
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.705563045194898e-05,
+      "loss": 0.8349,
+      "step": 1420
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7051213611187657e-05,
+      "loss": 0.3164,
+      "step": 1421
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.704679403290243e-05,
+      "loss": 0.827,
+      "step": 1422
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7042371718809132e-05,
+      "loss": 0.8456,
+      "step": 1423
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7037946670624652e-05,
+      "loss": 0.8484,
+      "step": 1424
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7033518890066956e-05,
+      "loss": 0.3668,
+      "step": 1425
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7029088378855055e-05,
+      "loss": 0.3688,
+      "step": 1426
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7024655138709025e-05,
+      "loss": 0.8682,
+      "step": 1427
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7020219171350004e-05,
+      "loss": 0.8477,
+      "step": 1428
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 1.7015780478500187e-05,
+      "loss": 0.8791,
+      "step": 1429
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.701133906188283e-05,
+      "loss": 0.8656,
+      "step": 1430
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.700689492322224e-05,
+      "loss": 0.9321,
+      "step": 1431
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.700244806424379e-05,
+      "loss": 0.8773,
+      "step": 1432
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6997998486673893e-05,
+      "loss": 0.8625,
+      "step": 1433
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.699354619224004e-05,
+      "loss": 0.8234,
+      "step": 1434
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.698909118267076e-05,
+      "loss": 0.8146,
+      "step": 1435
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6984633459695646e-05,
+      "loss": 0.8655,
+      "step": 1436
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6980173025045328e-05,
+      "loss": 0.9435,
+      "step": 1437
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.697570988045151e-05,
+      "loss": 0.3651,
+      "step": 1438
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6971244027646937e-05,
+      "loss": 0.8904,
+      "step": 1439
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.69667754683654e-05,
+      "loss": 0.3874,
+      "step": 1440
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6962304204341758e-05,
+      "loss": 0.8693,
+      "step": 1441
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6957830237311904e-05,
+      "loss": 0.9172,
+      "step": 1442
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6953353569012784e-05,
+      "loss": 0.8272,
+      "step": 1443
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6948874201182402e-05,
+      "loss": 0.8734,
+      "step": 1444
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6944392135559798e-05,
+      "loss": 0.9351,
+      "step": 1445
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6939907373885062e-05,
+      "loss": 0.8716,
+      "step": 1446
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6935419917899335e-05,
+      "loss": 0.8998,
+      "step": 1447
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6930929769344807e-05,
+      "loss": 0.8933,
+      "step": 1448
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.69264369299647e-05,
+      "loss": 0.8759,
+      "step": 1449
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.692194140150329e-05,
+      "loss": 0.8971,
+      "step": 1450
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.69174431857059e-05,
+      "loss": 0.8923,
+      "step": 1451
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6912942284318898e-05,
+      "loss": 0.862,
+      "step": 1452
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6908438699089674e-05,
+      "loss": 0.896,
+      "step": 1453
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.690393243176668e-05,
+      "loss": 0.8088,
+      "step": 1454
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6899423484099413e-05,
+      "loss": 0.9257,
+      "step": 1455
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6894911857838394e-05,
+      "loss": 0.8832,
+      "step": 1456
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.689039755473519e-05,
+      "loss": 0.8364,
+      "step": 1457
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6885880576542417e-05,
+      "loss": 0.7718,
+      "step": 1458
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6881360925013712e-05,
+      "loss": 0.8644,
+      "step": 1459
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6876838601903765e-05,
+      "loss": 0.8262,
+      "step": 1460
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6872313608968296e-05,
+      "loss": 0.7925,
+      "step": 1461
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6867785947964065e-05,
+      "loss": 0.879,
+      "step": 1462
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6863255620648866e-05,
+      "loss": 0.8472,
+      "step": 1463
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.685872262878152e-05,
+      "loss": 0.8559,
+      "step": 1464
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6854186974121903e-05,
+      "loss": 0.926,
+      "step": 1465
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.68496486584309e-05,
+      "loss": 0.8941,
+      "step": 1466
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6845107683470453e-05,
+      "loss": 0.3513,
+      "step": 1467
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6840564051003517e-05,
+      "loss": 0.8463,
+      "step": 1468
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6836017762794087e-05,
+      "loss": 0.3612,
+      "step": 1469
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6831468820607192e-05,
+      "loss": 0.8235,
+      "step": 1470
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6826917226208886e-05,
+      "loss": 0.9392,
+      "step": 1471
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6822362981366257e-05,
+      "loss": 0.8141,
+      "step": 1472
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6817806087847417e-05,
+      "loss": 0.8171,
+      "step": 1473
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.681324654742151e-05,
+      "loss": 0.8223,
+      "step": 1474
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6808684361858706e-05,
+      "loss": 0.8779,
+      "step": 1475
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6804119532930202e-05,
+      "loss": 0.8564,
+      "step": 1476
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6799552062408225e-05,
+      "loss": 0.8837,
+      "step": 1477
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6794981952066018e-05,
+      "loss": 0.8661,
+      "step": 1478
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6790409203677863e-05,
+      "loss": 0.3698,
+      "step": 1479
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.6785833819019052e-05,
+      "loss": 0.8625,
+      "step": 1480
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 1.678125579986591e-05,
+      "loss": 0.861,
+      "step": 1481
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.677667514799578e-05,
+      "loss": 0.8521,
+      "step": 1482
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6772091865187032e-05,
+      "loss": 0.8707,
+      "step": 1483
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.676750595321905e-05,
+      "loss": 0.8683,
+      "step": 1484
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6762917413872246e-05,
+      "loss": 0.8246,
+      "step": 1485
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.675832624892805e-05,
+      "loss": 0.8588,
+      "step": 1486
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6753732460168907e-05,
+      "loss": 0.8202,
+      "step": 1487
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.674913604937828e-05,
+      "loss": 0.8361,
+      "step": 1488
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6744537018340662e-05,
+      "loss": 0.8937,
+      "step": 1489
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6739935368841555e-05,
+      "loss": 0.8373,
+      "step": 1490
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6735331102667475e-05,
+      "loss": 0.8794,
+      "step": 1491
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6730724221605955e-05,
+      "loss": 0.9051,
+      "step": 1492
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6726114727445547e-05,
+      "loss": 0.8734,
+      "step": 1493
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6721502621975813e-05,
+      "loss": 0.8124,
+      "step": 1494
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6716887906987332e-05,
+      "loss": 0.8982,
+      "step": 1495
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6712270584271703e-05,
+      "loss": 0.8555,
+      "step": 1496
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.670765065562152e-05,
+      "loss": 0.8538,
+      "step": 1497
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.67030281228304e-05,
+      "loss": 0.3626,
+      "step": 1498
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6698402987692968e-05,
+      "loss": 0.8159,
+      "step": 1499
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6693775252004866e-05,
+      "loss": 0.8695,
+      "step": 1500
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.668914491756274e-05,
+      "loss": 0.8459,
+      "step": 1501
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.668451198616424e-05,
+      "loss": 0.8431,
+      "step": 1502
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6679876459608033e-05,
+      "loss": 0.85,
+      "step": 1503
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.667523833969379e-05,
+      "loss": 0.8643,
+      "step": 1504
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.667059762822219e-05,
+      "loss": 0.8801,
+      "step": 1505
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.666595432699491e-05,
+      "loss": 0.7801,
+      "step": 1506
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6661308437814652e-05,
+      "loss": 0.8994,
+      "step": 1507
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6656659962485097e-05,
+      "loss": 0.8426,
+      "step": 1508
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6652008902810952e-05,
+      "loss": 0.7666,
+      "step": 1509
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6647355260597915e-05,
+      "loss": 0.8637,
+      "step": 1510
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.664269903765269e-05,
+      "loss": 0.8403,
+      "step": 1511
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6638040235782983e-05,
+      "loss": 0.8169,
+      "step": 1512
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6633378856797505e-05,
+      "loss": 0.8626,
+      "step": 1513
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.662871490250596e-05,
+      "loss": 0.8854,
+      "step": 1514
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.662404837471905e-05,
+      "loss": 0.8997,
+      "step": 1515
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.66193792752485e-05,
+      "loss": 0.8803,
+      "step": 1516
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6614707605906995e-05,
+      "loss": 0.9171,
+      "step": 1517
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.661003336850825e-05,
+      "loss": 0.8867,
+      "step": 1518
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.660535656486696e-05,
+      "loss": 0.8528,
+      "step": 1519
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.660067719679882e-05,
+      "loss": 0.9106,
+      "step": 1520
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6595995266120528e-05,
+      "loss": 0.8928,
+      "step": 1521
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6591310774649766e-05,
+      "loss": 0.8762,
+      "step": 1522
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6586623724205216e-05,
+      "loss": 0.8867,
+      "step": 1523
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6581934116606554e-05,
+      "loss": 0.8462,
+      "step": 1524
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.657724195367444e-05,
+      "loss": 0.8193,
+      "step": 1525
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.657254723723054e-05,
+      "loss": 0.8577,
+      "step": 1526
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6567849969097505e-05,
+      "loss": 0.8635,
+      "step": 1527
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6563150151098973e-05,
+      "loss": 0.9021,
+      "step": 1528
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6558447785059577e-05,
+      "loss": 0.8017,
+      "step": 1529
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.655374287280494e-05,
+      "loss": 0.8625,
+      "step": 1530
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.6549035416161662e-05,
+      "loss": 0.8134,
+      "step": 1531
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.654432541695735e-05,
+      "loss": 0.8872,
+      "step": 1532
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 1.653961287702058e-05,
+      "loss": 0.8738,
+      "step": 1533
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.653489779818093e-05,
+      "loss": 0.3634,
+      "step": 1534
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6530180182268946e-05,
+      "loss": 0.8884,
+      "step": 1535
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.652546003111618e-05,
+      "loss": 0.9057,
+      "step": 1536
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.652073734655515e-05,
+      "loss": 0.8522,
+      "step": 1537
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6516012130419366e-05,
+      "loss": 0.847,
+      "step": 1538
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6511284384543317e-05,
+      "loss": 0.8108,
+      "step": 1539
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6506554110762483e-05,
+      "loss": 0.3569,
+      "step": 1540
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.650182131091332e-05,
+      "loss": 0.8516,
+      "step": 1541
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6497085986833252e-05,
+      "loss": 0.8788,
+      "step": 1542
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6492348140360704e-05,
+      "loss": 0.3433,
+      "step": 1543
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6487607773335074e-05,
+      "loss": 0.8246,
+      "step": 1544
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.648286488759673e-05,
+      "loss": 0.8972,
+      "step": 1545
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6478119484987026e-05,
+      "loss": 0.8855,
+      "step": 1546
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6473371567348287e-05,
+      "loss": 0.8212,
+      "step": 1547
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6468621136523823e-05,
+      "loss": 0.8914,
+      "step": 1548
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.646386819435791e-05,
+      "loss": 0.8291,
+      "step": 1549
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6459112742695807e-05,
+      "loss": 0.8066,
+      "step": 1550
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6454354783383748e-05,
+      "loss": 0.8855,
+      "step": 1551
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.644959431826893e-05,
+      "loss": 0.8097,
+      "step": 1552
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6444831349199528e-05,
+      "loss": 0.8568,
+      "step": 1553
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6440065878024697e-05,
+      "loss": 0.8796,
+      "step": 1554
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6435297906594553e-05,
+      "loss": 0.901,
+      "step": 1555
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.643052743676019e-05,
+      "loss": 0.8484,
+      "step": 1556
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6425754470373667e-05,
+      "loss": 0.8477,
+      "step": 1557
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.642097900928801e-05,
+      "loss": 0.8013,
+      "step": 1558
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6416201055357225e-05,
+      "loss": 0.8717,
+      "step": 1559
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.641142061043627e-05,
+      "loss": 0.8721,
+      "step": 1560
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.640663767638108e-05,
+      "loss": 0.8734,
+      "step": 1561
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6401852255048564e-05,
+      "loss": 0.878,
+      "step": 1562
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6397064348296578e-05,
+      "loss": 0.8745,
+      "step": 1563
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6392273957983955e-05,
+      "loss": 0.8862,
+      "step": 1564
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.638748108597049e-05,
+      "loss": 0.9003,
+      "step": 1565
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6382685734116934e-05,
+      "loss": 0.9068,
+      "step": 1566
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6377887904285018e-05,
+      "loss": 0.8843,
+      "step": 1567
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.637308759833742e-05,
+      "loss": 0.8099,
+      "step": 1568
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6368284818137787e-05,
+      "loss": 0.9149,
+      "step": 1569
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.636347956555072e-05,
+      "loss": 0.8144,
+      "step": 1570
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.635867184244178e-05,
+      "loss": 0.9051,
+      "step": 1571
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.63538616506775e-05,
+      "loss": 0.8932,
+      "step": 1572
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6349048992125358e-05,
+      "loss": 0.8328,
+      "step": 1573
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.634423386865379e-05,
+      "loss": 0.8323,
+      "step": 1574
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6339416282132196e-05,
+      "loss": 0.8406,
+      "step": 1575
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.633459623443093e-05,
+      "loss": 0.8817,
+      "step": 1576
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6329773727421297e-05,
+      "loss": 0.8862,
+      "step": 1577
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6324948762975567e-05,
+      "loss": 0.8265,
+      "step": 1578
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.632012134296695e-05,
+      "loss": 0.8645,
+      "step": 1579
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6315291469269617e-05,
+      "loss": 0.9148,
+      "step": 1580
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.63104591437587e-05,
+      "loss": 0.8671,
+      "step": 1581
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6305624368310265e-05,
+      "loss": 0.9008,
+      "step": 1582
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.630078714480134e-05,
+      "loss": 0.8395,
+      "step": 1583
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.6295947475109904e-05,
+      "loss": 0.3894,
+      "step": 1584
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 1.629110536111488e-05,
+      "loss": 0.9181,
+      "step": 1585
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.628626080469615e-05,
+      "loss": 0.8558,
+      "step": 1586
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.628141380773453e-05,
+      "loss": 0.3546,
+      "step": 1587
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6276564372111797e-05,
+      "loss": 0.9047,
+      "step": 1588
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6271712499710663e-05,
+      "loss": 0.3691,
+      "step": 1589
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.62668581924148e-05,
+      "loss": 0.8131,
+      "step": 1590
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6262001452108807e-05,
+      "loss": 0.8731,
+      "step": 1591
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6257142280678247e-05,
+      "loss": 0.8902,
+      "step": 1592
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6252280680009613e-05,
+      "loss": 0.8506,
+      "step": 1593
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6247416651990343e-05,
+      "loss": 0.8718,
+      "step": 1594
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.624255019850883e-05,
+      "loss": 0.8501,
+      "step": 1595
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6237681321454387e-05,
+      "loss": 0.9724,
+      "step": 1596
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.623281002271729e-05,
+      "loss": 0.8731,
+      "step": 1597
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6227936304188738e-05,
+      "loss": 0.3446,
+      "step": 1598
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.622306016776088e-05,
+      "loss": 0.8744,
+      "step": 1599
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6218181615326795e-05,
+      "loss": 0.8815,
+      "step": 1600
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6213300648780515e-05,
+      "loss": 0.8368,
+      "step": 1601
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.620841727001699e-05,
+      "loss": 0.8651,
+      "step": 1602
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6203531480932114e-05,
+      "loss": 0.8156,
+      "step": 1603
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.619864328342273e-05,
+      "loss": 0.8284,
+      "step": 1604
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6193752679386593e-05,
+      "loss": 0.8103,
+      "step": 1605
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6188859670722414e-05,
+      "loss": 0.785,
+      "step": 1606
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6183964259329817e-05,
+      "loss": 0.8378,
+      "step": 1607
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6179066447109376e-05,
+      "loss": 0.8317,
+      "step": 1608
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6174166235962588e-05,
+      "loss": 0.8217,
+      "step": 1609
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6169263627791886e-05,
+      "loss": 0.8792,
+      "step": 1610
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.616435862450063e-05,
+      "loss": 0.9115,
+      "step": 1611
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.615945122799311e-05,
+      "loss": 0.8802,
+      "step": 1612
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6154541440174547e-05,
+      "loss": 0.8315,
+      "step": 1613
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.614962926295109e-05,
+      "loss": 0.8882,
+      "step": 1614
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6144714698229814e-05,
+      "loss": 0.8581,
+      "step": 1615
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6139797747918725e-05,
+      "loss": 0.9157,
+      "step": 1616
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.613487841392675e-05,
+      "loss": 0.8896,
+      "step": 1617
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.612995669816375e-05,
+      "loss": 0.8659,
+      "step": 1618
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6125032602540492e-05,
+      "loss": 0.8445,
+      "step": 1619
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6120106128968686e-05,
+      "loss": 0.7805,
+      "step": 1620
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6115177279360965e-05,
+      "loss": 0.8085,
+      "step": 1621
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.611024605563087e-05,
+      "loss": 0.8357,
+      "step": 1622
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.610531245969287e-05,
+      "loss": 0.8869,
+      "step": 1623
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6100376493462368e-05,
+      "loss": 0.8546,
+      "step": 1624
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6095438158855668e-05,
+      "loss": 0.9027,
+      "step": 1625
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.609049745779e-05,
+      "loss": 0.8501,
+      "step": 1626
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6085554392183517e-05,
+      "loss": 0.8547,
+      "step": 1627
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.608060896395529e-05,
+      "loss": 0.8522,
+      "step": 1628
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.60756611750253e-05,
+      "loss": 0.8387,
+      "step": 1629
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6070711027314446e-05,
+      "loss": 0.805,
+      "step": 1630
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.606575852274456e-05,
+      "loss": 0.8994,
+      "step": 1631
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6060803663238357e-05,
+      "loss": 0.8248,
+      "step": 1632
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6055846450719498e-05,
+      "loss": 0.8661,
+      "step": 1633
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6050886887112535e-05,
+      "loss": 0.8281,
+      "step": 1634
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6045924974342945e-05,
+      "loss": 0.9407,
+      "step": 1635
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.604096071433711e-05,
+      "loss": 0.8583,
+      "step": 1636
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 1.6035994109022333e-05,
+      "loss": 0.8876,
+      "step": 1637
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6031025160326814e-05,
+      "loss": 0.8931,
+      "step": 1638
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6026053870179678e-05,
+      "loss": 0.9156,
+      "step": 1639
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6021080240510943e-05,
+      "loss": 0.8431,
+      "step": 1640
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.601610427325155e-05,
+      "loss": 0.3388,
+      "step": 1641
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6011125970333333e-05,
+      "loss": 0.8034,
+      "step": 1642
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.600614533368905e-05,
+      "loss": 0.7957,
+      "step": 1643
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.6001162365252348e-05,
+      "loss": 0.9327,
+      "step": 1644
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5996177066957787e-05,
+      "loss": 0.8533,
+      "step": 1645
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5991189440740838e-05,
+      "loss": 0.8301,
+      "step": 1646
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5986199488537867e-05,
+      "loss": 0.8467,
+      "step": 1647
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.598120721228614e-05,
+      "loss": 0.892,
+      "step": 1648
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5976212613923836e-05,
+      "loss": 0.8732,
+      "step": 1649
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5971215695390026e-05,
+      "loss": 0.8244,
+      "step": 1650
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5966216458624692e-05,
+      "loss": 0.8634,
+      "step": 1651
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5961214905568705e-05,
+      "loss": 0.8752,
+      "step": 1652
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.595621103816384e-05,
+      "loss": 0.8536,
+      "step": 1653
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5951204858352772e-05,
+      "loss": 0.8466,
+      "step": 1654
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.594619636807907e-05,
+      "loss": 0.8112,
+      "step": 1655
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5941185569287206e-05,
+      "loss": 0.8757,
+      "step": 1656
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5936172463922542e-05,
+      "loss": 0.8683,
+      "step": 1657
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.593115705393134e-05,
+      "loss": 0.8091,
+      "step": 1658
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5926139341260755e-05,
+      "loss": 0.9022,
+      "step": 1659
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5921119327858835e-05,
+      "loss": 0.8452,
+      "step": 1660
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5916097015674518e-05,
+      "loss": 0.8796,
+      "step": 1661
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5911072406657646e-05,
+      "loss": 0.8193,
+      "step": 1662
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5906045502758943e-05,
+      "loss": 0.8002,
+      "step": 1663
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.590101630593002e-05,
+      "loss": 0.8795,
+      "step": 1664
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5895984818123392e-05,
+      "loss": 0.8395,
+      "step": 1665
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5890951041292453e-05,
+      "loss": 0.3744,
+      "step": 1666
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.588591497739149e-05,
+      "loss": 0.8504,
+      "step": 1667
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5880876628375668e-05,
+      "loss": 0.8391,
+      "step": 1668
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.587583599620106e-05,
+      "loss": 0.8448,
+      "step": 1669
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5870793082824604e-05,
+      "loss": 0.8995,
+      "step": 1670
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5865747890204138e-05,
+      "loss": 0.8077,
+      "step": 1671
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5860700420298377e-05,
+      "loss": 0.8532,
+      "step": 1672
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5855650675066924e-05,
+      "loss": 0.8827,
+      "step": 1673
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5850598656470265e-05,
+      "loss": 0.8707,
+      "step": 1674
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.584554436646976e-05,
+      "loss": 0.8333,
+      "step": 1675
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5840487807027665e-05,
+      "loss": 0.8912,
+      "step": 1676
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5835428980107113e-05,
+      "loss": 0.8661,
+      "step": 1677
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.583036788767211e-05,
+      "loss": 0.9125,
+      "step": 1678
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5825304531687548e-05,
+      "loss": 0.8686,
+      "step": 1679
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5820238914119195e-05,
+      "loss": 0.8617,
+      "step": 1680
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5815171036933697e-05,
+      "loss": 0.8422,
+      "step": 1681
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5810100902098582e-05,
+      "loss": 0.3627,
+      "step": 1682
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.580502851158225e-05,
+      "loss": 0.8641,
+      "step": 1683
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5799953867353975e-05,
+      "loss": 0.8147,
+      "step": 1684
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.579487697138391e-05,
+      "loss": 0.9112,
+      "step": 1685
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5789797825643086e-05,
+      "loss": 0.8452,
+      "step": 1686
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5784716432103394e-05,
+      "loss": 0.8472,
+      "step": 1687
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5779632792737608e-05,
+      "loss": 0.8235,
+      "step": 1688
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 1.5774546909519376e-05,
+      "loss": 0.3603,
+      "step": 1689
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5769458784423206e-05,
+      "loss": 0.9066,
+      "step": 1690
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5764368419424488e-05,
+      "loss": 0.8895,
+      "step": 1691
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.575927581649948e-05,
+      "loss": 0.8683,
+      "step": 1692
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5754180977625303e-05,
+      "loss": 0.8738,
+      "step": 1693
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.574908390477995e-05,
+      "loss": 0.8261,
+      "step": 1694
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5743984599942273e-05,
+      "loss": 0.8642,
+      "step": 1695
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5738883065092005e-05,
+      "loss": 0.8914,
+      "step": 1696
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5733779302209735e-05,
+      "loss": 0.8748,
+      "step": 1697
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.572867331327692e-05,
+      "loss": 0.7781,
+      "step": 1698
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5723565100275884e-05,
+      "loss": 0.9262,
+      "step": 1699
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5718454665189806e-05,
+      "loss": 0.8759,
+      "step": 1700
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5713342010002733e-05,
+      "loss": 0.8217,
+      "step": 1701
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5708227136699578e-05,
+      "loss": 0.3557,
+      "step": 1702
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5703110047266105e-05,
+      "loss": 0.3696,
+      "step": 1703
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.569799074368895e-05,
+      "loss": 0.8294,
+      "step": 1704
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5692869227955603e-05,
+      "loss": 0.8851,
+      "step": 1705
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5687745502054407e-05,
+      "loss": 0.8243,
+      "step": 1706
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5682619567974575e-05,
+      "loss": 0.8394,
+      "step": 1707
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.567749142770617e-05,
+      "loss": 0.8559,
+      "step": 1708
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5672361083240106e-05,
+      "loss": 0.8024,
+      "step": 1709
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5667228536568167e-05,
+      "loss": 0.7968,
+      "step": 1710
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.566209378968298e-05,
+      "loss": 0.8226,
+      "step": 1711
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.565695684457803e-05,
+      "loss": 0.7959,
+      "step": 1712
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5651817703247666e-05,
+      "loss": 0.86,
+      "step": 1713
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5646676367687067e-05,
+      "loss": 0.8776,
+      "step": 1714
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.564153283989228e-05,
+      "loss": 0.8622,
+      "step": 1715
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5636387121860207e-05,
+      "loss": 0.8627,
+      "step": 1716
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5631239215588578e-05,
+      "loss": 0.8628,
+      "step": 1717
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5626089123076004e-05,
+      "loss": 0.8893,
+      "step": 1718
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5620936846321917e-05,
+      "loss": 0.8508,
+      "step": 1719
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.561578238732661e-05,
+      "loss": 0.8753,
+      "step": 1720
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.561062574809123e-05,
+      "loss": 0.869,
+      "step": 1721
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5605466930617747e-05,
+      "loss": 0.8701,
+      "step": 1722
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5600305936909005e-05,
+      "loss": 0.8509,
+      "step": 1723
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.559514276896867e-05,
+      "loss": 0.8361,
+      "step": 1724
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.558997742880127e-05,
+      "loss": 0.8181,
+      "step": 1725
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5584809918412158e-05,
+      "loss": 0.8988,
+      "step": 1726
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.557964023980755e-05,
+      "loss": 0.8361,
+      "step": 1727
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5574468394994486e-05,
+      "loss": 0.8506,
+      "step": 1728
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5569294385980856e-05,
+      "loss": 0.8946,
+      "step": 1729
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.556411821477539e-05,
+      "loss": 0.8443,
+      "step": 1730
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5558939883387657e-05,
+      "loss": 0.9049,
+      "step": 1731
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5553759393828058e-05,
+      "loss": 0.8327,
+      "step": 1732
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.554857674810784e-05,
+      "loss": 0.8363,
+      "step": 1733
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.554339194823909e-05,
+      "loss": 0.823,
+      "step": 1734
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.553820499623472e-05,
+      "loss": 0.7828,
+      "step": 1735
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.553301589410848e-05,
+      "loss": 0.8536,
+      "step": 1736
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5527824643874968e-05,
+      "loss": 0.8417,
+      "step": 1737
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5522631247549598e-05,
+      "loss": 0.7991,
+      "step": 1738
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5517435707148628e-05,
+      "loss": 0.8722,
+      "step": 1739
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.5512238024689144e-05,
+      "loss": 0.8925,
+      "step": 1740
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 1.550703820218907e-05,
+      "loss": 0.8422,
+      "step": 1741
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.550183624166715e-05,
+      "loss": 0.8631,
+      "step": 1742
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.549663214514297e-05,
+      "loss": 0.8633,
+      "step": 1743
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5491425914636934e-05,
+      "loss": 0.8938,
+      "step": 1744
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5486217552170283e-05,
+      "loss": 0.8842,
+      "step": 1745
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.548100705976508e-05,
+      "loss": 0.8524,
+      "step": 1746
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5475794439444226e-05,
+      "loss": 0.8404,
+      "step": 1747
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5470579693231432e-05,
+      "loss": 0.793,
+      "step": 1748
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5465362823151245e-05,
+      "loss": 0.8255,
+      "step": 1749
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5460143831229026e-05,
+      "loss": 0.852,
+      "step": 1750
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.545492271949098e-05,
+      "loss": 0.8251,
+      "step": 1751
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.544969948996411e-05,
+      "loss": 0.8874,
+      "step": 1752
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.544447414467626e-05,
+      "loss": 0.833,
+      "step": 1753
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5439246685656093e-05,
+      "loss": 0.3651,
+      "step": 1754
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5434017114933082e-05,
+      "loss": 0.3494,
+      "step": 1755
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5428785434537527e-05,
+      "loss": 0.8915,
+      "step": 1756
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.542355164650055e-05,
+      "loss": 0.8441,
+      "step": 1757
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.541831575285408e-05,
+      "loss": 0.8735,
+      "step": 1758
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.541307775563088e-05,
+      "loss": 0.3486,
+      "step": 1759
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.540783765686452e-05,
+      "loss": 0.8509,
+      "step": 1760
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.540259545858938e-05,
+      "loss": 0.8199,
+      "step": 1761
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.539735116284067e-05,
+      "loss": 0.8454,
+      "step": 1762
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.53921047716544e-05,
+      "loss": 0.852,
+      "step": 1763
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.53868562870674e-05,
+      "loss": 0.8936,
+      "step": 1764
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5381605711117318e-05,
+      "loss": 0.8584,
+      "step": 1765
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5376353045842604e-05,
+      "loss": 0.8203,
+      "step": 1766
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5371098293282526e-05,
+      "loss": 0.8962,
+      "step": 1767
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5365841455477158e-05,
+      "loss": 0.869,
+      "step": 1768
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5360582534467382e-05,
+      "loss": 0.8464,
+      "step": 1769
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5355321532294897e-05,
+      "loss": 0.8805,
+      "step": 1770
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5350058451002204e-05,
+      "loss": 0.8751,
+      "step": 1771
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5344793292632614e-05,
+      "loss": 0.8562,
+      "step": 1772
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.533952605923024e-05,
+      "loss": 0.8463,
+      "step": 1773
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5334256752840007e-05,
+      "loss": 0.8742,
+      "step": 1774
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.532898537550764e-05,
+      "loss": 0.8291,
+      "step": 1775
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.532371192927966e-05,
+      "loss": 0.8809,
+      "step": 1776
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5318436416203412e-05,
+      "loss": 0.8281,
+      "step": 1777
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.531315883832703e-05,
+      "loss": 0.8321,
+      "step": 1778
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.530787919769945e-05,
+      "loss": 0.8393,
+      "step": 1779
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5302597496370408e-05,
+      "loss": 0.8373,
+      "step": 1780
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5297313736390447e-05,
+      "loss": 0.369,
+      "step": 1781
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5292027919810898e-05,
+      "loss": 0.8713,
+      "step": 1782
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.52867400486839e-05,
+      "loss": 0.8072,
+      "step": 1783
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.528145012506239e-05,
+      "loss": 0.8209,
+      "step": 1784
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5276158151000096e-05,
+      "loss": 0.8827,
+      "step": 1785
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5270864128551542e-05,
+      "loss": 0.8049,
+      "step": 1786
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5265568059772053e-05,
+      "loss": 0.8864,
+      "step": 1787
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5260269946717746e-05,
+      "loss": 0.8588,
+      "step": 1788
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5254969791445526e-05,
+      "loss": 0.8502,
+      "step": 1789
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5249667596013102e-05,
+      "loss": 0.8441,
+      "step": 1790
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5244363362478967e-05,
+      "loss": 0.8761,
+      "step": 1791
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.5239057092902404e-05,
+      "loss": 0.8137,
+      "step": 1792
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 1.523374878934349e-05,
+      "loss": 0.9253,
+      "step": 1793
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5228438453863095e-05,
+      "loss": 0.8196,
+      "step": 1794
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.522312608852287e-05,
+      "loss": 0.8704,
+      "step": 1795
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5217811695385263e-05,
+      "loss": 0.8017,
+      "step": 1796
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.52124952765135e-05,
+      "loss": 0.9079,
+      "step": 1797
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5207176833971598e-05,
+      "loss": 0.8688,
+      "step": 1798
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.520185636982436e-05,
+      "loss": 0.8258,
+      "step": 1799
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5196533886137376e-05,
+      "loss": 0.8386,
+      "step": 1800
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5191209384977014e-05,
+      "loss": 0.8699,
+      "step": 1801
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5185882868410431e-05,
+      "loss": 0.7819,
+      "step": 1802
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5180554338505564e-05,
+      "loss": 0.8911,
+      "step": 1803
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.517522379733113e-05,
+      "loss": 0.7817,
+      "step": 1804
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5169891246956629e-05,
+      "loss": 0.8251,
+      "step": 1805
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5164556689452346e-05,
+      "loss": 0.8413,
+      "step": 1806
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5159220126889329e-05,
+      "loss": 0.866,
+      "step": 1807
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5153881561339426e-05,
+      "loss": 0.8823,
+      "step": 1808
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5148540994875242e-05,
+      "loss": 0.8475,
+      "step": 1809
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5143198429570181e-05,
+      "loss": 0.3527,
+      "step": 1810
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5137853867498403e-05,
+      "loss": 0.8484,
+      "step": 1811
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5132507310734847e-05,
+      "loss": 0.3625,
+      "step": 1812
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5127158761355241e-05,
+      "loss": 0.8471,
+      "step": 1813
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.512180822143607e-05,
+      "loss": 0.8262,
+      "step": 1814
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5116455693054594e-05,
+      "loss": 0.8453,
+      "step": 1815
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5111101178288858e-05,
+      "loss": 0.8703,
+      "step": 1816
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.510574467921766e-05,
+      "loss": 0.8024,
+      "step": 1817
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5100386197920585e-05,
+      "loss": 0.8972,
+      "step": 1818
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5095025736477977e-05,
+      "loss": 0.7584,
+      "step": 1819
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5089663296970952e-05,
+      "loss": 0.873,
+      "step": 1820
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5084298881481388e-05,
+      "loss": 0.3408,
+      "step": 1821
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5078932492091942e-05,
+      "loss": 0.784,
+      "step": 1822
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5073564130886032e-05,
+      "loss": 0.8055,
+      "step": 1823
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.506819379994784e-05,
+      "loss": 0.8288,
+      "step": 1824
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5062821501362308e-05,
+      "loss": 0.8272,
+      "step": 1825
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5057447237215152e-05,
+      "loss": 0.8747,
+      "step": 1826
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5052071009592846e-05,
+      "loss": 0.3523,
+      "step": 1827
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5046692820582625e-05,
+      "loss": 0.878,
+      "step": 1828
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.504131267227249e-05,
+      "loss": 0.9068,
+      "step": 1829
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5035930566751198e-05,
+      "loss": 0.8194,
+      "step": 1830
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5030546506108268e-05,
+      "loss": 0.8344,
+      "step": 1831
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5025160492433976e-05,
+      "loss": 0.8144,
+      "step": 1832
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.501977252781936e-05,
+      "loss": 0.839,
+      "step": 1833
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5014382614356213e-05,
+      "loss": 0.9466,
+      "step": 1834
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5008990754137088e-05,
+      "loss": 0.814,
+      "step": 1835
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.5003596949255284e-05,
+      "loss": 0.8477,
+      "step": 1836
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4998201201804867e-05,
+      "loss": 0.3428,
+      "step": 1837
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.499280351388065e-05,
+      "loss": 0.8869,
+      "step": 1838
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.49874038875782e-05,
+      "loss": 0.8231,
+      "step": 1839
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.498200232499384e-05,
+      "loss": 0.8874,
+      "step": 1840
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4976598828224643e-05,
+      "loss": 0.8745,
+      "step": 1841
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.497119339936843e-05,
+      "loss": 0.8535,
+      "step": 1842
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4965786040523779e-05,
+      "loss": 0.7628,
+      "step": 1843
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.496037675379001e-05,
+      "loss": 0.8967,
+      "step": 1844
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.4954965541267192e-05,
+      "loss": 0.8797,
+      "step": 1845
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.494955240505615e-05,
+      "loss": 0.8758,
+      "step": 1846
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.494413734725844e-05,
+      "loss": 0.8333,
+      "step": 1847
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4938720369976385e-05,
+      "loss": 0.8289,
+      "step": 1848
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4933301475313036e-05,
+      "loss": 0.8532,
+      "step": 1849
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4927880665372197e-05,
+      "loss": 0.3712,
+      "step": 1850
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4922457942258411e-05,
+      "loss": 0.846,
+      "step": 1851
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4917033308076967e-05,
+      "loss": 0.8179,
+      "step": 1852
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4911606764933892e-05,
+      "loss": 0.8337,
+      "step": 1853
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.490617831493596e-05,
+      "loss": 0.7997,
+      "step": 1854
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4900747960190682e-05,
+      "loss": 0.8456,
+      "step": 1855
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.489531570280631e-05,
+      "loss": 0.774,
+      "step": 1856
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.488988154489183e-05,
+      "loss": 0.8271,
+      "step": 1857
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4884445488556972e-05,
+      "loss": 0.8142,
+      "step": 1858
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4879007535912198e-05,
+      "loss": 0.7974,
+      "step": 1859
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4873567689068708e-05,
+      "loss": 0.8354,
+      "step": 1860
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4868125950138442e-05,
+      "loss": 0.8558,
+      "step": 1861
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4862682321234064e-05,
+      "loss": 0.8263,
+      "step": 1862
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4857236804468983e-05,
+      "loss": 0.8752,
+      "step": 1863
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4851789401957338e-05,
+      "loss": 0.778,
+      "step": 1864
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4846340115813993e-05,
+      "loss": 0.8589,
+      "step": 1865
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.484088894815455e-05,
+      "loss": 0.8373,
+      "step": 1866
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4835435901095341e-05,
+      "loss": 0.8233,
+      "step": 1867
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4829980976753426e-05,
+      "loss": 0.8528,
+      "step": 1868
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4824524177246597e-05,
+      "loss": 0.8132,
+      "step": 1869
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4819065504693365e-05,
+      "loss": 0.8821,
+      "step": 1870
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4813604961212984e-05,
+      "loss": 0.8599,
+      "step": 1871
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4808142548925417e-05,
+      "loss": 0.8286,
+      "step": 1872
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4802678269951365e-05,
+      "loss": 0.8699,
+      "step": 1873
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4797212126412243e-05,
+      "loss": 0.8359,
+      "step": 1874
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4791744120430202e-05,
+      "loss": 0.7942,
+      "step": 1875
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4786274254128112e-05,
+      "loss": 0.8837,
+      "step": 1876
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4780802529629559e-05,
+      "loss": 0.8309,
+      "step": 1877
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4775328949058856e-05,
+      "loss": 0.8669,
+      "step": 1878
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4769853514541037e-05,
+      "loss": 0.8861,
+      "step": 1879
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4764376228201848e-05,
+      "loss": 0.8352,
+      "step": 1880
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.475889709216777e-05,
+      "loss": 0.8582,
+      "step": 1881
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4753416108565985e-05,
+      "loss": 0.8173,
+      "step": 1882
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.47479332795244e-05,
+      "loss": 0.8812,
+      "step": 1883
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4742448607171644e-05,
+      "loss": 0.8416,
+      "step": 1884
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.473696209363705e-05,
+      "loss": 0.8781,
+      "step": 1885
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4731473741050673e-05,
+      "loss": 0.8754,
+      "step": 1886
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4725983551543279e-05,
+      "loss": 0.8423,
+      "step": 1887
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.472049152724635e-05,
+      "loss": 0.8511,
+      "step": 1888
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.471499767029208e-05,
+      "loss": 0.8512,
+      "step": 1889
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.470950198281337e-05,
+      "loss": 0.8566,
+      "step": 1890
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.470400446694384e-05,
+      "loss": 0.3745,
+      "step": 1891
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4698505124817811e-05,
+      "loss": 0.7979,
+      "step": 1892
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4693003958570318e-05,
+      "loss": 0.8205,
+      "step": 1893
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4687500970337103e-05,
+      "loss": 0.8579,
+      "step": 1894
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4681996162254618e-05,
+      "loss": 0.8504,
+      "step": 1895
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.4676489536460015e-05,
+      "loss": 0.8154,
+      "step": 1896
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 1.467098109509116e-05,
+      "loss": 0.8225,
+      "step": 1897
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4665470840286614e-05,
+      "loss": 0.8387,
+      "step": 1898
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4659958774185654e-05,
+      "loss": 0.8955,
+      "step": 1899
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4654444898928249e-05,
+      "loss": 0.8819,
+      "step": 1900
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4648929216655077e-05,
+      "loss": 0.8533,
+      "step": 1901
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4643411729507517e-05,
+      "loss": 0.8549,
+      "step": 1902
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4637892439627644e-05,
+      "loss": 0.8235,
+      "step": 1903
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4632371349158241e-05,
+      "loss": 0.8826,
+      "step": 1904
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4626848460242782e-05,
+      "loss": 0.8557,
+      "step": 1905
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4621323775025444e-05,
+      "loss": 0.8324,
+      "step": 1906
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4615797295651099e-05,
+      "loss": 0.8692,
+      "step": 1907
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4610269024265317e-05,
+      "loss": 0.3708,
+      "step": 1908
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4604738963014365e-05,
+      "loss": 0.8864,
+      "step": 1909
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4599207114045202e-05,
+      "loss": 0.8645,
+      "step": 1910
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4593673479505482e-05,
+      "loss": 0.3448,
+      "step": 1911
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4588138061543551e-05,
+      "loss": 0.7814,
+      "step": 1912
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.458260086230845e-05,
+      "loss": 0.8893,
+      "step": 1913
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4577061883949912e-05,
+      "loss": 0.8543,
+      "step": 1914
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4571521128618358e-05,
+      "loss": 0.8768,
+      "step": 1915
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4565978598464895e-05,
+      "loss": 0.8079,
+      "step": 1916
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4560434295641338e-05,
+      "loss": 0.8626,
+      "step": 1917
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.455488822230016e-05,
+      "loss": 0.8216,
+      "step": 1918
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4549340380594545e-05,
+      "loss": 0.8359,
+      "step": 1919
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.454379077267836e-05,
+      "loss": 0.829,
+      "step": 1920
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4538239400706147e-05,
+      "loss": 0.8535,
+      "step": 1921
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4532686266833143e-05,
+      "loss": 0.8336,
+      "step": 1922
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4527131373215265e-05,
+      "loss": 0.9023,
+      "step": 1923
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4521574722009115e-05,
+      "loss": 0.8467,
+      "step": 1924
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4516016315371974e-05,
+      "loss": 0.8545,
+      "step": 1925
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4510456155461807e-05,
+      "loss": 0.7957,
+      "step": 1926
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4504894244437264e-05,
+      "loss": 0.9066,
+      "step": 1927
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4499330584457667e-05,
+      "loss": 0.8263,
+      "step": 1928
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4493765177683017e-05,
+      "loss": 0.901,
+      "step": 1929
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4488198026274007e-05,
+      "loss": 0.8187,
+      "step": 1930
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4482629132391985e-05,
+      "loss": 0.8669,
+      "step": 1931
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4477058498198993e-05,
+      "loss": 0.8017,
+      "step": 1932
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4471486125857743e-05,
+      "loss": 0.8683,
+      "step": 1933
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.446591201753162e-05,
+      "loss": 0.8569,
+      "step": 1934
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4460336175384688e-05,
+      "loss": 0.353,
+      "step": 1935
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4454758601581675e-05,
+      "loss": 0.9093,
+      "step": 1936
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4449179298287999e-05,
+      "loss": 0.8633,
+      "step": 1937
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4443598267669723e-05,
+      "loss": 0.8938,
+      "step": 1938
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4438015511893602e-05,
+      "loss": 0.8486,
+      "step": 1939
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4432431033127056e-05,
+      "loss": 0.8228,
+      "step": 1940
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.442684483353817e-05,
+      "loss": 0.8155,
+      "step": 1941
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4421256915295697e-05,
+      "loss": 0.8354,
+      "step": 1942
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4415667280569064e-05,
+      "loss": 0.8491,
+      "step": 1943
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4410075931528356e-05,
+      "loss": 0.8301,
+      "step": 1944
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4404482870344322e-05,
+      "loss": 0.8427,
+      "step": 1945
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4398888099188396e-05,
+      "loss": 0.8942,
+      "step": 1946
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4393291620232646e-05,
+      "loss": 0.8381,
+      "step": 1947
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4387693435649826e-05,
+      "loss": 0.8059,
+      "step": 1948
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 1.4382093547613338e-05,
+      "loss": 0.8854,
+      "step": 1949
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4376491958297263e-05,
+      "loss": 0.3485,
+      "step": 1950
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4370888669876317e-05,
+      "loss": 0.8761,
+      "step": 1951
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4365283684525895e-05,
+      "loss": 0.8493,
+      "step": 1952
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4359677004422045e-05,
+      "loss": 0.8617,
+      "step": 1953
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4354068631741476e-05,
+      "loss": 0.7965,
+      "step": 1954
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4348458568661548e-05,
+      "loss": 0.8686,
+      "step": 1955
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.434284681736028e-05,
+      "loss": 0.867,
+      "step": 1956
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4337233380016354e-05,
+      "loss": 0.343,
+      "step": 1957
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.433161825880909e-05,
+      "loss": 0.9412,
+      "step": 1958
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.432600145591848e-05,
+      "loss": 0.8309,
+      "step": 1959
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4320382973525151e-05,
+      "loss": 0.8334,
+      "step": 1960
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.43147628138104e-05,
+      "loss": 0.8513,
+      "step": 1961
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4309140978956161e-05,
+      "loss": 0.7875,
+      "step": 1962
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.430351747114503e-05,
+      "loss": 0.8589,
+      "step": 1963
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.429789229256024e-05,
+      "loss": 0.8447,
+      "step": 1964
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.429226544538568e-05,
+      "loss": 0.8668,
+      "step": 1965
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4286636931805887e-05,
+      "loss": 0.8313,
+      "step": 1966
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4281006754006045e-05,
+      "loss": 0.3492,
+      "step": 1967
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.427537491417198e-05,
+      "loss": 0.7967,
+      "step": 1968
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.426974141449017e-05,
+      "loss": 0.8229,
+      "step": 1969
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4264106257147732e-05,
+      "loss": 0.8504,
+      "step": 1970
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4258469444332423e-05,
+      "loss": 0.3319,
+      "step": 1971
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4252830978232658e-05,
+      "loss": 0.8569,
+      "step": 1972
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4247190861037474e-05,
+      "loss": 0.8363,
+      "step": 1973
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4241549094936567e-05,
+      "loss": 0.8637,
+      "step": 1974
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4235905682120255e-05,
+      "loss": 0.7906,
+      "step": 1975
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4230260624779512e-05,
+      "loss": 0.8532,
+      "step": 1976
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4224613925105947e-05,
+      "loss": 0.8977,
+      "step": 1977
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4218965585291792e-05,
+      "loss": 0.7926,
+      "step": 1978
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4213315607529939e-05,
+      "loss": 0.8894,
+      "step": 1979
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4207663994013896e-05,
+      "loss": 0.8799,
+      "step": 1980
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4202010746937815e-05,
+      "loss": 0.8103,
+      "step": 1981
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4196355868496485e-05,
+      "loss": 0.857,
+      "step": 1982
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4190699360885323e-05,
+      "loss": 0.8691,
+      "step": 1983
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4185041226300376e-05,
+      "loss": 0.8181,
+      "step": 1984
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4179381466938332e-05,
+      "loss": 0.8747,
+      "step": 1985
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4173720084996501e-05,
+      "loss": 0.8742,
+      "step": 1986
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4168057082672828e-05,
+      "loss": 0.9227,
+      "step": 1987
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4162392462165884e-05,
+      "loss": 0.7887,
+      "step": 1988
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4156726225674874e-05,
+      "loss": 0.8651,
+      "step": 1989
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.415105837539962e-05,
+      "loss": 0.8271,
+      "step": 1990
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.414538891354058e-05,
+      "loss": 0.7649,
+      "step": 1991
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4139717842298835e-05,
+      "loss": 0.3766,
+      "step": 1992
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4134045163876086e-05,
+      "loss": 0.8638,
+      "step": 1993
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4128370880474667e-05,
+      "loss": 0.851,
+      "step": 1994
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.412269499429753e-05,
+      "loss": 0.8467,
+      "step": 1995
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4117017507548244e-05,
+      "loss": 0.8517,
+      "step": 1996
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4111338422431013e-05,
+      "loss": 0.8593,
+      "step": 1997
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4105657741150648e-05,
+      "loss": 0.353,
+      "step": 1998
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4099975465912584e-05,
+      "loss": 0.8625,
+      "step": 1999
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.4094291598922877e-05,
+      "loss": 0.8645,
+      "step": 2000
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 1.40886061423882e-05,
+      "loss": 0.8582,
+      "step": 2001
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4082919098515846e-05,
+      "loss": 0.3185,
+      "step": 2002
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.407723046951372e-05,
+      "loss": 0.8532,
+      "step": 2003
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4071540257590341e-05,
+      "loss": 0.8621,
+      "step": 2004
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4065848464954848e-05,
+      "loss": 0.3697,
+      "step": 2005
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4060155093816988e-05,
+      "loss": 0.8194,
+      "step": 2006
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4054460146387124e-05,
+      "loss": 0.8403,
+      "step": 2007
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4048763624876233e-05,
+      "loss": 0.8735,
+      "step": 2008
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4043065531495904e-05,
+      "loss": 0.3614,
+      "step": 2009
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4037365868458325e-05,
+      "loss": 0.8303,
+      "step": 2010
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4031664637976305e-05,
+      "loss": 0.7487,
+      "step": 2011
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.402596184226326e-05,
+      "loss": 0.8733,
+      "step": 2012
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.4020257483533208e-05,
+      "loss": 0.8459,
+      "step": 2013
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.401455156400078e-05,
+      "loss": 0.8451,
+      "step": 2014
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.400884408588121e-05,
+      "loss": 0.823,
+      "step": 2015
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.400313505139034e-05,
+      "loss": 0.8368,
+      "step": 2016
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3997424462744607e-05,
+      "loss": 0.8827,
+      "step": 2017
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3991712322161065e-05,
+      "loss": 0.8742,
+      "step": 2018
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3985998631857359e-05,
+      "loss": 0.8376,
+      "step": 2019
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.398028339405174e-05,
+      "loss": 0.7909,
+      "step": 2020
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3974566610963068e-05,
+      "loss": 0.8715,
+      "step": 2021
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3968848284810785e-05,
+      "loss": 0.8048,
+      "step": 2022
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3963128417814951e-05,
+      "loss": 0.8219,
+      "step": 2023
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3957407012196204e-05,
+      "loss": 0.8406,
+      "step": 2024
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3951684070175802e-05,
+      "loss": 0.7859,
+      "step": 2025
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3945959593975582e-05,
+      "loss": 0.8651,
+      "step": 2026
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3940233585817984e-05,
+      "loss": 0.8352,
+      "step": 2027
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3934506047926042e-05,
+      "loss": 0.825,
+      "step": 2028
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3928776982523384e-05,
+      "loss": 0.8271,
+      "step": 2029
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3923046391834229e-05,
+      "loss": 0.8426,
+      "step": 2030
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3917314278083391e-05,
+      "loss": 0.9019,
+      "step": 2031
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3911580643496272e-05,
+      "loss": 0.8514,
+      "step": 2032
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3905845490298867e-05,
+      "loss": 0.8843,
+      "step": 2033
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.390010882071776e-05,
+      "loss": 0.7608,
+      "step": 2034
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3894370636980128e-05,
+      "loss": 0.834,
+      "step": 2035
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3888630941313728e-05,
+      "loss": 0.9067,
+      "step": 2036
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3882889735946901e-05,
+      "loss": 0.8338,
+      "step": 2037
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3877147023108592e-05,
+      "loss": 0.8283,
+      "step": 2038
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3871402805028314e-05,
+      "loss": 0.3771,
+      "step": 2039
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3865657083936167e-05,
+      "loss": 0.8731,
+      "step": 2040
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3859909862062844e-05,
+      "loss": 0.2981,
+      "step": 2041
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.385416114163961e-05,
+      "loss": 0.8855,
+      "step": 2042
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3848410924898321e-05,
+      "loss": 0.8459,
+      "step": 2043
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3842659214071406e-05,
+      "loss": 0.8539,
+      "step": 2044
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3836906011391878e-05,
+      "loss": 0.8413,
+      "step": 2045
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3831151319093323e-05,
+      "loss": 0.7972,
+      "step": 2046
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.382539513940992e-05,
+      "loss": 0.8635,
+      "step": 2047
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3819637474576411e-05,
+      "loss": 0.8115,
+      "step": 2048
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.381387832682812e-05,
+      "loss": 0.9057,
+      "step": 2049
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.380811769840095e-05,
+      "loss": 0.8333,
+      "step": 2050
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3802355591531366e-05,
+      "loss": 0.8824,
+      "step": 2051
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3796592008456427e-05,
+      "loss": 0.8377,
+      "step": 2052
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 1.3790826951413747e-05,
+      "loss": 0.3708,
+      "step": 2053
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3785060422641526e-05,
+      "loss": 0.8337,
+      "step": 2054
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3779292424378521e-05,
+      "loss": 0.8447,
+      "step": 2055
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3773522958864076e-05,
+      "loss": 0.8446,
+      "step": 2056
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3767752028338091e-05,
+      "loss": 0.8073,
+      "step": 2057
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.376197963504104e-05,
+      "loss": 0.337,
+      "step": 2058
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3756205781213965e-05,
+      "loss": 0.8447,
+      "step": 2059
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.375043046909848e-05,
+      "loss": 0.8427,
+      "step": 2060
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3744653700936752e-05,
+      "loss": 0.8656,
+      "step": 2061
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3738875478971526e-05,
+      "loss": 0.8608,
+      "step": 2062
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3733095805446107e-05,
+      "loss": 0.8279,
+      "step": 2063
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.372731468260436e-05,
+      "loss": 0.84,
+      "step": 2064
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.372153211269072e-05,
+      "loss": 0.8301,
+      "step": 2065
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3715748097950176e-05,
+      "loss": 0.8462,
+      "step": 2066
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3709962640628284e-05,
+      "loss": 0.8376,
+      "step": 2067
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3704175742971158e-05,
+      "loss": 0.8275,
+      "step": 2068
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.369838740722547e-05,
+      "loss": 0.8073,
+      "step": 2069
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3692597635638452e-05,
+      "loss": 0.346,
+      "step": 2070
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.368680643045789e-05,
+      "loss": 0.3558,
+      "step": 2071
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3681013793932132e-05,
+      "loss": 0.8609,
+      "step": 2072
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3675219728310076e-05,
+      "loss": 0.7869,
+      "step": 2073
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3669424235841185e-05,
+      "loss": 0.8562,
+      "step": 2074
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3663627318775459e-05,
+      "loss": 0.8453,
+      "step": 2075
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3657828979363468e-05,
+      "loss": 0.8182,
+      "step": 2076
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3652029219856324e-05,
+      "loss": 0.813,
+      "step": 2077
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3646228042505694e-05,
+      "loss": 0.8513,
+      "step": 2078
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3640425449563793e-05,
+      "loss": 0.8682,
+      "step": 2079
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3634621443283389e-05,
+      "loss": 0.8337,
+      "step": 2080
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.36288160259178e-05,
+      "loss": 0.7802,
+      "step": 2081
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3623009199720882e-05,
+      "loss": 0.852,
+      "step": 2082
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3617200966947053e-05,
+      "loss": 0.8039,
+      "step": 2083
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3611391329851262e-05,
+      "loss": 0.838,
+      "step": 2084
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3605580290689013e-05,
+      "loss": 0.844,
+      "step": 2085
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3599767851716353e-05,
+      "loss": 0.8394,
+      "step": 2086
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3593954015189867e-05,
+      "loss": 0.8679,
+      "step": 2087
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3588138783366692e-05,
+      "loss": 0.8676,
+      "step": 2088
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3582322158504495e-05,
+      "loss": 0.8381,
+      "step": 2089
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3576504142861496e-05,
+      "loss": 0.8341,
+      "step": 2090
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3570684738696444e-05,
+      "loss": 0.8564,
+      "step": 2091
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3564863948268631e-05,
+      "loss": 0.884,
+      "step": 2092
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3559041773837898e-05,
+      "loss": 0.8694,
+      "step": 2093
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3553218217664603e-05,
+      "loss": 0.8084,
+      "step": 2094
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3547393282009656e-05,
+      "loss": 0.8612,
+      "step": 2095
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3541566969134496e-05,
+      "loss": 0.8455,
+      "step": 2096
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3535739281301102e-05,
+      "loss": 0.8068,
+      "step": 2097
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3529910220771975e-05,
+      "loss": 0.8569,
+      "step": 2098
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3524079789810163e-05,
+      "loss": 0.8923,
+      "step": 2099
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3518247990679241e-05,
+      "loss": 0.8585,
+      "step": 2100
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3512414825643312e-05,
+      "loss": 0.8063,
+      "step": 2101
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3506580296967011e-05,
+      "loss": 0.8061,
+      "step": 2102
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3500744406915505e-05,
+      "loss": 0.805,
+      "step": 2103
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.3494907157754485e-05,
+      "loss": 0.9148,
+      "step": 2104
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 1.348906855175017e-05,
+      "loss": 0.9088,
+      "step": 2105
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3483228591169315e-05,
+      "loss": 0.8205,
+      "step": 2106
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.347738727827919e-05,
+      "loss": 0.8296,
+      "step": 2107
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3471544615347591e-05,
+      "loss": 0.8029,
+      "step": 2108
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3465700604642847e-05,
+      "loss": 0.8781,
+      "step": 2109
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.34598552484338e-05,
+      "loss": 0.8285,
+      "step": 2110
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3454008548989816e-05,
+      "loss": 0.7991,
+      "step": 2111
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3448160508580789e-05,
+      "loss": 0.8501,
+      "step": 2112
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3442311129477133e-05,
+      "loss": 0.3727,
+      "step": 2113
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.343646041394977e-05,
+      "loss": 0.8715,
+      "step": 2114
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3430608364270156e-05,
+      "loss": 0.8209,
+      "step": 2115
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3424754982710256e-05,
+      "loss": 0.3684,
+      "step": 2116
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3418900271542552e-05,
+      "loss": 0.8736,
+      "step": 2117
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3413044233040045e-05,
+      "loss": 0.8442,
+      "step": 2118
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3407186869476253e-05,
+      "loss": 0.7865,
+      "step": 2119
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3401328183125208e-05,
+      "loss": 0.8069,
+      "step": 2120
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.339546817626145e-05,
+      "loss": 0.8648,
+      "step": 2121
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3389606851160037e-05,
+      "loss": 0.8865,
+      "step": 2122
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3383744210096537e-05,
+      "loss": 0.7997,
+      "step": 2123
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3377880255347026e-05,
+      "loss": 0.8515,
+      "step": 2124
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3372014989188098e-05,
+      "loss": 0.8108,
+      "step": 2125
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3366148413896851e-05,
+      "loss": 0.3534,
+      "step": 2126
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3360280531750886e-05,
+      "loss": 0.8842,
+      "step": 2127
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3354411345028324e-05,
+      "loss": 0.7964,
+      "step": 2128
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3348540856007782e-05,
+      "loss": 0.8933,
+      "step": 2129
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3342669066968385e-05,
+      "loss": 0.9076,
+      "step": 2130
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3336795980189763e-05,
+      "loss": 0.8592,
+      "step": 2131
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3330921597952056e-05,
+      "loss": 0.838,
+      "step": 2132
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3325045922535896e-05,
+      "loss": 0.8804,
+      "step": 2133
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3319168956222423e-05,
+      "loss": 0.8268,
+      "step": 2134
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.331329070129328e-05,
+      "loss": 0.8544,
+      "step": 2135
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3307411160030608e-05,
+      "loss": 0.8404,
+      "step": 2136
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3301530334717046e-05,
+      "loss": 0.8693,
+      "step": 2137
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3295648227635729e-05,
+      "loss": 0.8915,
+      "step": 2138
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.32897648410703e-05,
+      "loss": 0.842,
+      "step": 2139
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.328388017730489e-05,
+      "loss": 0.7937,
+      "step": 2140
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.327799423862413e-05,
+      "loss": 0.8647,
+      "step": 2141
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3272107027313142e-05,
+      "loss": 0.8563,
+      "step": 2142
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3266218545657541e-05,
+      "loss": 0.8626,
+      "step": 2143
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.326032879594344e-05,
+      "loss": 0.7587,
+      "step": 2144
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3254437780457448e-05,
+      "loss": 0.8292,
+      "step": 2145
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3248545501486654e-05,
+      "loss": 0.8249,
+      "step": 2146
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3242651961318646e-05,
+      "loss": 0.8634,
+      "step": 2147
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.32367571622415e-05,
+      "loss": 0.8997,
+      "step": 2148
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3230861106543777e-05,
+      "loss": 0.8275,
+      "step": 2149
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3224963796514532e-05,
+      "loss": 0.8528,
+      "step": 2150
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.32190652344433e-05,
+      "loss": 0.7994,
+      "step": 2151
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3213165422620111e-05,
+      "loss": 0.8743,
+      "step": 2152
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3207264363335472e-05,
+      "loss": 0.8348,
+      "step": 2153
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3201362058880375e-05,
+      "loss": 0.8487,
+      "step": 2154
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3195458511546307e-05,
+      "loss": 0.8043,
+      "step": 2155
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.3189553723625217e-05,
+      "loss": 0.8238,
+      "step": 2156
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 1.318364769740955e-05,
+      "loss": 0.876,
+      "step": 2157
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3177740435192235e-05,
+      "loss": 0.8295,
+      "step": 2158
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3171831939266668e-05,
+      "loss": 0.7816,
+      "step": 2159
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3165922211926734e-05,
+      "loss": 0.8492,
+      "step": 2160
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3160011255466791e-05,
+      "loss": 0.913,
+      "step": 2161
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3154099072181677e-05,
+      "loss": 0.8655,
+      "step": 2162
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3148185664366704e-05,
+      "loss": 0.8248,
+      "step": 2163
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.314227103431766e-05,
+      "loss": 0.8152,
+      "step": 2164
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3136355184330809e-05,
+      "loss": 0.8252,
+      "step": 2165
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3130438116702888e-05,
+      "loss": 0.7692,
+      "step": 2166
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3124519833731106e-05,
+      "loss": 0.8318,
+      "step": 2167
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3118600337713146e-05,
+      "loss": 0.8439,
+      "step": 2168
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3112679630947156e-05,
+      "loss": 0.8552,
+      "step": 2169
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.310675771573176e-05,
+      "loss": 0.8117,
+      "step": 2170
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.310083459436605e-05,
+      "loss": 0.8019,
+      "step": 2171
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3094910269149587e-05,
+      "loss": 0.8319,
+      "step": 2172
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3088984742382395e-05,
+      "loss": 0.8448,
+      "step": 2173
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3083058016364972e-05,
+      "loss": 0.8502,
+      "step": 2174
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3077130093398274e-05,
+      "loss": 0.8008,
+      "step": 2175
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3071200975783725e-05,
+      "loss": 0.7868,
+      "step": 2176
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3065270665823206e-05,
+      "loss": 0.8525,
+      "step": 2177
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3059339165819082e-05,
+      "loss": 0.9151,
+      "step": 2178
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3053406478074155e-05,
+      "loss": 0.8089,
+      "step": 2179
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3047472604891701e-05,
+      "loss": 0.8737,
+      "step": 2180
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3041537548575455e-05,
+      "loss": 0.8076,
+      "step": 2181
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.303560131142961e-05,
+      "loss": 0.8412,
+      "step": 2182
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3029663895758814e-05,
+      "loss": 0.8535,
+      "step": 2183
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3023725303868183e-05,
+      "loss": 0.8661,
+      "step": 2184
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3017785538063277e-05,
+      "loss": 0.8209,
+      "step": 2185
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.3011844600650121e-05,
+      "loss": 0.8798,
+      "step": 2186
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.300590249393519e-05,
+      "loss": 0.8639,
+      "step": 2187
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2999959220225416e-05,
+      "loss": 0.8809,
+      "step": 2188
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.299401478182818e-05,
+      "loss": 0.8314,
+      "step": 2189
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2988069181051314e-05,
+      "loss": 0.8298,
+      "step": 2190
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2982122420203114e-05,
+      "loss": 0.8014,
+      "step": 2191
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2976174501592313e-05,
+      "loss": 0.8338,
+      "step": 2192
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2970225427528098e-05,
+      "loss": 0.799,
+      "step": 2193
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2964275200320104e-05,
+      "loss": 0.8218,
+      "step": 2194
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2958323822278413e-05,
+      "loss": 0.8698,
+      "step": 2195
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2952371295713558e-05,
+      "loss": 0.8472,
+      "step": 2196
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2946417622936512e-05,
+      "loss": 0.8726,
+      "step": 2197
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2940462806258696e-05,
+      "loss": 0.3583,
+      "step": 2198
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2934506847991976e-05,
+      "loss": 0.8309,
+      "step": 2199
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2928549750448661e-05,
+      "loss": 0.3756,
+      "step": 2200
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2922591515941498e-05,
+      "loss": 0.7819,
+      "step": 2201
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2916632146783683e-05,
+      "loss": 0.8464,
+      "step": 2202
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2910671645288841e-05,
+      "loss": 0.7927,
+      "step": 2203
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2904710013771054e-05,
+      "loss": 0.8127,
+      "step": 2204
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2898747254544826e-05,
+      "loss": 0.8738,
+      "step": 2205
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2892783369925105e-05,
+      "loss": 0.8278,
+      "step": 2206
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2886818362227283e-05,
+      "loss": 0.3451,
+      "step": 2207
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2880852233767174e-05,
+      "loss": 0.8216,
+      "step": 2208
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 1.2874884986861038e-05,
+      "loss": 0.8326,
+      "step": 2209
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2868916623825561e-05,
+      "loss": 0.8263,
+      "step": 2210
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2862947146977876e-05,
+      "loss": 0.3497,
+      "step": 2211
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2856976558635532e-05,
+      "loss": 0.8421,
+      "step": 2212
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2851004861116519e-05,
+      "loss": 0.7714,
+      "step": 2213
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2845032056739257e-05,
+      "loss": 0.8444,
+      "step": 2214
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2839058147822595e-05,
+      "loss": 0.8175,
+      "step": 2215
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2833083136685803e-05,
+      "loss": 0.7959,
+      "step": 2216
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2827107025648595e-05,
+      "loss": 0.8087,
+      "step": 2217
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2821129817031099e-05,
+      "loss": 0.8751,
+      "step": 2218
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2815151513153874e-05,
+      "loss": 0.9064,
+      "step": 2219
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2809172116337903e-05,
+      "loss": 0.845,
+      "step": 2220
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2803191628904594e-05,
+      "loss": 0.8639,
+      "step": 2221
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2797210053175779e-05,
+      "loss": 0.3536,
+      "step": 2222
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2791227391473706e-05,
+      "loss": 0.8295,
+      "step": 2223
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2785243646121059e-05,
+      "loss": 0.8894,
+      "step": 2224
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.277925881944093e-05,
+      "loss": 0.821,
+      "step": 2225
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2773272913756833e-05,
+      "loss": 0.8221,
+      "step": 2226
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2767285931392705e-05,
+      "loss": 0.799,
+      "step": 2227
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.27612978746729e-05,
+      "loss": 0.8479,
+      "step": 2228
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2755308745922182e-05,
+      "loss": 0.7437,
+      "step": 2229
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2749318547465742e-05,
+      "loss": 0.8067,
+      "step": 2230
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2743327281629181e-05,
+      "loss": 0.8337,
+      "step": 2231
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2737334950738512e-05,
+      "loss": 0.839,
+      "step": 2232
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.273134155712017e-05,
+      "loss": 0.8242,
+      "step": 2233
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.272534710310099e-05,
+      "loss": 0.8279,
+      "step": 2234
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2719351591008228e-05,
+      "loss": 0.86,
+      "step": 2235
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2713355023169547e-05,
+      "loss": 0.8954,
+      "step": 2236
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2707357401913022e-05,
+      "loss": 0.8563,
+      "step": 2237
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.270135872956714e-05,
+      "loss": 0.8788,
+      "step": 2238
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2695359008460785e-05,
+      "loss": 0.828,
+      "step": 2239
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2689358240923264e-05,
+      "loss": 0.8388,
+      "step": 2240
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2683356429284273e-05,
+      "loss": 0.839,
+      "step": 2241
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2677353575873926e-05,
+      "loss": 0.7835,
+      "step": 2242
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2671349683022736e-05,
+      "loss": 0.8222,
+      "step": 2243
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2665344753061622e-05,
+      "loss": 0.8292,
+      "step": 2244
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2659338788321904e-05,
+      "loss": 0.8086,
+      "step": 2245
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2653331791135308e-05,
+      "loss": 0.7957,
+      "step": 2246
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2647323763833952e-05,
+      "loss": 0.8321,
+      "step": 2247
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.264131470875036e-05,
+      "loss": 0.8669,
+      "step": 2248
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2635304628217452e-05,
+      "loss": 0.7825,
+      "step": 2249
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2629293524568555e-05,
+      "loss": 0.897,
+      "step": 2250
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2623281400137383e-05,
+      "loss": 0.8209,
+      "step": 2251
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2617268257258051e-05,
+      "loss": 0.3484,
+      "step": 2252
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2611254098265063e-05,
+      "loss": 0.794,
+      "step": 2253
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2605238925493326e-05,
+      "loss": 0.8642,
+      "step": 2254
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2599222741278136e-05,
+      "loss": 0.834,
+      "step": 2255
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2593205547955185e-05,
+      "loss": 0.8349,
+      "step": 2256
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2587187347860554e-05,
+      "loss": 0.891,
+      "step": 2257
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2581168143330716e-05,
+      "loss": 0.8166,
+      "step": 2258
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2575147936702531e-05,
+      "loss": 0.8801,
+      "step": 2259
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2569126730313255e-05,
+      "loss": 0.838,
+      "step": 2260
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 1.2563104526500523e-05,
+      "loss": 0.8694,
+      "step": 2261
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2557081327602361e-05,
+      "loss": 0.8582,
+      "step": 2262
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2551057135957187e-05,
+      "loss": 0.3406,
+      "step": 2263
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2545031953903796e-05,
+      "loss": 0.8538,
+      "step": 2264
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2539005783781374e-05,
+      "loss": 0.8658,
+      "step": 2265
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2532978627929486e-05,
+      "loss": 0.7878,
+      "step": 2266
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2526950488688083e-05,
+      "loss": 0.838,
+      "step": 2267
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2520921368397492e-05,
+      "loss": 0.8855,
+      "step": 2268
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2514891269398429e-05,
+      "loss": 0.8132,
+      "step": 2269
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2508860194031986e-05,
+      "loss": 0.8504,
+      "step": 2270
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2502828144639629e-05,
+      "loss": 0.8708,
+      "step": 2271
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2496795123563218e-05,
+      "loss": 0.8578,
+      "step": 2272
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.249076113314497e-05,
+      "loss": 0.8864,
+      "step": 2273
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.248472617572749e-05,
+      "loss": 0.7904,
+      "step": 2274
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2478690253653756e-05,
+      "loss": 0.8242,
+      "step": 2275
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2472653369267122e-05,
+      "loss": 0.8048,
+      "step": 2276
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2466615524911316e-05,
+      "loss": 0.8164,
+      "step": 2277
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2460576722930432e-05,
+      "loss": 0.8158,
+      "step": 2278
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2454536965668949e-05,
+      "loss": 0.871,
+      "step": 2279
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.24484962554717e-05,
+      "loss": 0.8577,
+      "step": 2280
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.24424545946839e-05,
+      "loss": 0.849,
+      "step": 2281
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2436411985651131e-05,
+      "loss": 0.8999,
+      "step": 2282
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2430368430719342e-05,
+      "loss": 0.8659,
+      "step": 2283
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.242432393223485e-05,
+      "loss": 0.7953,
+      "step": 2284
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2418278492544328e-05,
+      "loss": 0.8354,
+      "step": 2285
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2412232113994841e-05,
+      "loss": 0.9035,
+      "step": 2286
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2406184798933786e-05,
+      "loss": 0.8287,
+      "step": 2287
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2400136549708945e-05,
+      "loss": 0.8565,
+      "step": 2288
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.239408736866846e-05,
+      "loss": 0.8352,
+      "step": 2289
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2388037258160823e-05,
+      "loss": 0.8396,
+      "step": 2290
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.23819862205349e-05,
+      "loss": 0.861,
+      "step": 2291
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2375934258139917e-05,
+      "loss": 0.7954,
+      "step": 2292
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2369881373325448e-05,
+      "loss": 0.8698,
+      "step": 2293
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.236382756844143e-05,
+      "loss": 0.8263,
+      "step": 2294
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2357772845838159e-05,
+      "loss": 0.7731,
+      "step": 2295
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2351717207866292e-05,
+      "loss": 0.8378,
+      "step": 2296
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2345660656876832e-05,
+      "loss": 0.8059,
+      "step": 2297
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.233960319522114e-05,
+      "loss": 0.3474,
+      "step": 2298
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2333544825250938e-05,
+      "loss": 0.8907,
+      "step": 2299
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2327485549318285e-05,
+      "loss": 0.8468,
+      "step": 2300
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2321425369775601e-05,
+      "loss": 0.88,
+      "step": 2301
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2315364288975665e-05,
+      "loss": 0.8838,
+      "step": 2302
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2309302309271587e-05,
+      "loss": 0.9029,
+      "step": 2303
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2303239433016842e-05,
+      "loss": 0.8149,
+      "step": 2304
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2297175662565248e-05,
+      "loss": 0.8569,
+      "step": 2305
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.229111100027097e-05,
+      "loss": 0.8503,
+      "step": 2306
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.228504544848851e-05,
+      "loss": 0.8524,
+      "step": 2307
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2278979009572736e-05,
+      "loss": 0.8056,
+      "step": 2308
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2272911685878841e-05,
+      "loss": 0.8197,
+      "step": 2309
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2266843479762372e-05,
+      "loss": 0.8155,
+      "step": 2310
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2260774393579209e-05,
+      "loss": 0.7795,
+      "step": 2311
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2254704429685593e-05,
+      "loss": 0.8201,
+      "step": 2312
+    },
+    {
+      "epoch": 0.44,
+      "learning_rate": 1.2248633590438084e-05,
+      "loss": 0.8597,
+      "step": 2313
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2242561878193589e-05,
+      "loss": 0.8388,
+      "step": 2314
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2236489295309362e-05,
+      "loss": 0.3625,
+      "step": 2315
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2230415844142984e-05,
+      "loss": 0.8486,
+      "step": 2316
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2224341527052378e-05,
+      "loss": 0.8559,
+      "step": 2317
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2218266346395811e-05,
+      "loss": 0.8739,
+      "step": 2318
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.221219030453187e-05,
+      "loss": 0.8449,
+      "step": 2319
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.220611340381948e-05,
+      "loss": 0.8568,
+      "step": 2320
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2200035646617912e-05,
+      "loss": 0.8477,
+      "step": 2321
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2193957035286757e-05,
+      "loss": 0.8093,
+      "step": 2322
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2187877572185937e-05,
+      "loss": 0.8288,
+      "step": 2323
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2181797259675713e-05,
+      "loss": 0.9094,
+      "step": 2324
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2175716100116677e-05,
+      "loss": 0.8633,
+      "step": 2325
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2169634095869736e-05,
+      "loss": 0.8706,
+      "step": 2326
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2163551249296132e-05,
+      "loss": 0.7859,
+      "step": 2327
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2157467562757443e-05,
+      "loss": 0.7838,
+      "step": 2328
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2151383038615563e-05,
+      "loss": 0.8205,
+      "step": 2329
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.214529767923271e-05,
+      "loss": 0.8111,
+      "step": 2330
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2139211486971436e-05,
+      "loss": 0.8767,
+      "step": 2331
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.213312446419461e-05,
+      "loss": 0.7937,
+      "step": 2332
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2127036613265418e-05,
+      "loss": 0.8196,
+      "step": 2333
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2120947936547375e-05,
+      "loss": 0.8215,
+      "step": 2334
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2114858436404322e-05,
+      "loss": 0.8105,
+      "step": 2335
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2108768115200405e-05,
+      "loss": 0.3113,
+      "step": 2336
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2102676975300095e-05,
+      "loss": 0.7975,
+      "step": 2337
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.209658501906819e-05,
+      "loss": 0.7395,
+      "step": 2338
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2090492248869795e-05,
+      "loss": 0.8341,
+      "step": 2339
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2084398667070325e-05,
+      "loss": 0.7915,
+      "step": 2340
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2078304276035527e-05,
+      "loss": 0.8774,
+      "step": 2341
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2072209078131451e-05,
+      "loss": 0.3552,
+      "step": 2342
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2066113075724461e-05,
+      "loss": 0.8607,
+      "step": 2343
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.206001627118124e-05,
+      "loss": 0.8779,
+      "step": 2344
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2053918666868776e-05,
+      "loss": 0.8426,
+      "step": 2345
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2047820265154362e-05,
+      "loss": 0.8635,
+      "step": 2346
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2041721068405614e-05,
+      "loss": 0.8708,
+      "step": 2347
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.203562107899045e-05,
+      "loss": 0.7884,
+      "step": 2348
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2029520299277095e-05,
+      "loss": 0.8717,
+      "step": 2349
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2023418731634078e-05,
+      "loss": 0.8016,
+      "step": 2350
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2017316378430244e-05,
+      "loss": 0.839,
+      "step": 2351
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2011213242034733e-05,
+      "loss": 0.8189,
+      "step": 2352
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.2005109324816992e-05,
+      "loss": 0.831,
+      "step": 2353
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1999004629146775e-05,
+      "loss": 0.7993,
+      "step": 2354
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1992899157394133e-05,
+      "loss": 0.8622,
+      "step": 2355
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1986792911929418e-05,
+      "loss": 0.8323,
+      "step": 2356
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.198068589512329e-05,
+      "loss": 0.8456,
+      "step": 2357
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1974578109346702e-05,
+      "loss": 0.7671,
+      "step": 2358
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1968469556970905e-05,
+      "loss": 0.8441,
+      "step": 2359
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1962360240367445e-05,
+      "loss": 0.838,
+      "step": 2360
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1956250161908179e-05,
+      "loss": 0.8843,
+      "step": 2361
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.195013932396524e-05,
+      "loss": 0.8865,
+      "step": 2362
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1944027728911072e-05,
+      "loss": 0.3706,
+      "step": 2363
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1937915379118406e-05,
+      "loss": 0.7969,
+      "step": 2364
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 1.1931802276960265e-05,
+      "loss": 0.8587,
+      "step": 2365
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1925688424809965e-05,
+      "loss": 0.8483,
+      "step": 2366
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1919573825041115e-05,
+      "loss": 0.7697,
+      "step": 2367
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1913458480027614e-05,
+      "loss": 0.8049,
+      "step": 2368
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1907342392143646e-05,
+      "loss": 0.8288,
+      "step": 2369
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1901225563763694e-05,
+      "loss": 0.8238,
+      "step": 2370
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1895107997262516e-05,
+      "loss": 0.7943,
+      "step": 2371
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1888989695015166e-05,
+      "loss": 0.7946,
+      "step": 2372
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1882870659396968e-05,
+      "loss": 0.7907,
+      "step": 2373
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1876750892783558e-05,
+      "loss": 0.8577,
+      "step": 2374
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1870630397550831e-05,
+      "loss": 0.8022,
+      "step": 2375
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1864509176074974e-05,
+      "loss": 0.8074,
+      "step": 2376
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.185838723073246e-05,
+      "loss": 0.8188,
+      "step": 2377
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1852264563900038e-05,
+      "loss": 0.3418,
+      "step": 2378
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1846141177954733e-05,
+      "loss": 0.8576,
+      "step": 2379
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1840017075273861e-05,
+      "loss": 0.8299,
+      "step": 2380
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1833892258235008e-05,
+      "loss": 0.8293,
+      "step": 2381
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1827766729216035e-05,
+      "loss": 0.8526,
+      "step": 2382
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1821640490595086e-05,
+      "loss": 0.3336,
+      "step": 2383
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.181551354475058e-05,
+      "loss": 0.8146,
+      "step": 2384
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1809385894061206e-05,
+      "loss": 0.8421,
+      "step": 2385
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1803257540905926e-05,
+      "loss": 0.8137,
+      "step": 2386
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1797128487663982e-05,
+      "loss": 0.7771,
+      "step": 2387
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1790998736714882e-05,
+      "loss": 0.8295,
+      "step": 2388
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1784868290438404e-05,
+      "loss": 0.7991,
+      "step": 2389
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1778737151214606e-05,
+      "loss": 0.8374,
+      "step": 2390
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.17726053214238e-05,
+      "loss": 0.7948,
+      "step": 2391
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1766472803446577e-05,
+      "loss": 0.8495,
+      "step": 2392
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1760339599663788e-05,
+      "loss": 0.7981,
+      "step": 2393
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1754205712456556e-05,
+      "loss": 0.7982,
+      "step": 2394
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1748071144206266e-05,
+      "loss": 0.8075,
+      "step": 2395
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1741935897294572e-05,
+      "loss": 0.3258,
+      "step": 2396
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1735799974103388e-05,
+      "loss": 0.8614,
+      "step": 2397
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1729663377014888e-05,
+      "loss": 0.8065,
+      "step": 2398
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.172352610841151e-05,
+      "loss": 0.8531,
+      "step": 2399
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1717388170675954e-05,
+      "loss": 0.8429,
+      "step": 2400
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1711249566191179e-05,
+      "loss": 0.7897,
+      "step": 2401
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.17051102973404e-05,
+      "loss": 0.8744,
+      "step": 2402
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1698970366507096e-05,
+      "loss": 0.7883,
+      "step": 2403
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1692829776074999e-05,
+      "loss": 0.8156,
+      "step": 2404
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1686688528428099e-05,
+      "loss": 0.8415,
+      "step": 2405
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1680546625950635e-05,
+      "loss": 0.824,
+      "step": 2406
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.167440407102711e-05,
+      "loss": 0.8502,
+      "step": 2407
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1668260866042271e-05,
+      "loss": 0.8078,
+      "step": 2408
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1662117013381126e-05,
+      "loss": 0.8892,
+      "step": 2409
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1655972515428928e-05,
+      "loss": 0.7864,
+      "step": 2410
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1649827374571182e-05,
+      "loss": 0.3448,
+      "step": 2411
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1643681593193642e-05,
+      "loss": 0.8389,
+      "step": 2412
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1637535173682318e-05,
+      "loss": 0.8454,
+      "step": 2413
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1631388118423457e-05,
+      "loss": 0.7778,
+      "step": 2414
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1625240429803553e-05,
+      "loss": 0.8457,
+      "step": 2415
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1619092110209361e-05,
+      "loss": 0.8806,
+      "step": 2416
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 1.1612943162027863e-05,
+      "loss": 0.8243,
+      "step": 2417
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1606793587646295e-05,
+      "loss": 0.809,
+      "step": 2418
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.160064338945213e-05,
+      "loss": 0.8473,
+      "step": 2419
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1594492569833093e-05,
+      "loss": 0.8474,
+      "step": 2420
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1588341131177137e-05,
+      "loss": 0.8349,
+      "step": 2421
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1582189075872467e-05,
+      "loss": 0.8144,
+      "step": 2422
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1576036406307523e-05,
+      "loss": 0.7968,
+      "step": 2423
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.156988312487098e-05,
+      "loss": 0.8479,
+      "step": 2424
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1563729233951757e-05,
+      "loss": 0.839,
+      "step": 2425
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1557574735939003e-05,
+      "loss": 0.8033,
+      "step": 2426
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1551419633222107e-05,
+      "loss": 0.8645,
+      "step": 2427
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1545263928190692e-05,
+      "loss": 0.8625,
+      "step": 2428
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1539107623234618e-05,
+      "loss": 0.347,
+      "step": 2429
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.153295072074397e-05,
+      "loss": 0.8423,
+      "step": 2430
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1526793223109072e-05,
+      "loss": 0.8444,
+      "step": 2431
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1520635132720475e-05,
+      "loss": 0.8736,
+      "step": 2432
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1514476451968961e-05,
+      "loss": 0.809,
+      "step": 2433
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1508317183245545e-05,
+      "loss": 0.88,
+      "step": 2434
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1502157328941466e-05,
+      "loss": 0.813,
+      "step": 2435
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.149599689144819e-05,
+      "loss": 0.8354,
+      "step": 2436
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1489835873157414e-05,
+      "loss": 0.8138,
+      "step": 2437
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1483674276461053e-05,
+      "loss": 0.8074,
+      "step": 2438
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1477512103751254e-05,
+      "loss": 0.8204,
+      "step": 2439
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1471349357420384e-05,
+      "loss": 0.3492,
+      "step": 2440
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1465186039861033e-05,
+      "loss": 0.8175,
+      "step": 2441
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1459022153466016e-05,
+      "loss": 0.8047,
+      "step": 2442
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1452857700628362e-05,
+      "loss": 0.774,
+      "step": 2443
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1446692683741326e-05,
+      "loss": 0.8556,
+      "step": 2444
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1440527105198377e-05,
+      "loss": 0.8587,
+      "step": 2445
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.143436096739321e-05,
+      "loss": 0.8024,
+      "step": 2446
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1428194272719729e-05,
+      "loss": 0.3881,
+      "step": 2447
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1422027023572052e-05,
+      "loss": 0.8559,
+      "step": 2448
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1415859222344525e-05,
+      "loss": 0.8549,
+      "step": 2449
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.14096908714317e-05,
+      "loss": 0.8507,
+      "step": 2450
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1403521973228342e-05,
+      "loss": 0.78,
+      "step": 2451
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1397352530129428e-05,
+      "loss": 0.8888,
+      "step": 2452
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.139118254453015e-05,
+      "loss": 0.7805,
+      "step": 2453
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1385012018825907e-05,
+      "loss": 0.8006,
+      "step": 2454
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1378840955412313e-05,
+      "loss": 0.8264,
+      "step": 2455
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1372669356685185e-05,
+      "loss": 0.8812,
+      "step": 2456
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1366497225040549e-05,
+      "loss": 0.7929,
+      "step": 2457
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1360324562874643e-05,
+      "loss": 0.8641,
+      "step": 2458
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1354151372583901e-05,
+      "loss": 0.3363,
+      "step": 2459
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1347977656564974e-05,
+      "loss": 0.8605,
+      "step": 2460
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1341803417214705e-05,
+      "loss": 0.8087,
+      "step": 2461
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1335628656930153e-05,
+      "loss": 0.7929,
+      "step": 2462
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.132945337810857e-05,
+      "loss": 0.7669,
+      "step": 2463
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.132327758314741e-05,
+      "loss": 0.8359,
+      "step": 2464
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.131710127444433e-05,
+      "loss": 0.8001,
+      "step": 2465
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1310924454397187e-05,
+      "loss": 0.8686,
+      "step": 2466
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.1304747125404031e-05,
+      "loss": 0.8153,
+      "step": 2467
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.129856928986312e-05,
+      "loss": 0.8024,
+      "step": 2468
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.12923909501729e-05,
+      "loss": 0.8297,
+      "step": 2469
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1286212108732015e-05,
+      "loss": 0.8553,
+      "step": 2470
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1280032767939302e-05,
+      "loss": 0.8165,
+      "step": 2471
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1273852930193798e-05,
+      "loss": 0.8852,
+      "step": 2472
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1267672597894725e-05,
+      "loss": 0.8575,
+      "step": 2473
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.12614917734415e-05,
+      "loss": 0.7879,
+      "step": 2474
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1255310459233737e-05,
+      "loss": 0.8455,
+      "step": 2475
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1249128657671233e-05,
+      "loss": 0.8281,
+      "step": 2476
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1242946371153974e-05,
+      "loss": 0.8104,
+      "step": 2477
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1236763602082136e-05,
+      "loss": 0.8249,
+      "step": 2478
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1230580352856088e-05,
+      "loss": 0.7879,
+      "step": 2479
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1224396625876375e-05,
+      "loss": 0.796,
+      "step": 2480
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1218212423543734e-05,
+      "loss": 0.8621,
+      "step": 2481
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1212027748259086e-05,
+      "loss": 0.7626,
+      "step": 2482
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1205842602423537e-05,
+      "loss": 0.7358,
+      "step": 2483
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1199656988438373e-05,
+      "loss": 0.7568,
+      "step": 2484
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1193470908705055e-05,
+      "loss": 0.9032,
+      "step": 2485
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1187284365625241e-05,
+      "loss": 0.782,
+      "step": 2486
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1181097361600754e-05,
+      "loss": 0.8583,
+      "step": 2487
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1174909899033608e-05,
+      "loss": 0.8782,
+      "step": 2488
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1168721980325987e-05,
+      "loss": 0.8098,
+      "step": 2489
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1162533607880251e-05,
+      "loss": 0.8311,
+      "step": 2490
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1156344784098942e-05,
+      "loss": 0.8411,
+      "step": 2491
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1150155511384772e-05,
+      "loss": 0.8059,
+      "step": 2492
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1143965792140631e-05,
+      "loss": 0.8284,
+      "step": 2493
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1137775628769584e-05,
+      "loss": 0.8286,
+      "step": 2494
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1131585023674863e-05,
+      "loss": 0.8675,
+      "step": 2495
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1125393979259874e-05,
+      "loss": 0.829,
+      "step": 2496
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1119202497928192e-05,
+      "loss": 0.797,
+      "step": 2497
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1113010582083568e-05,
+      "loss": 0.883,
+      "step": 2498
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1106818234129913e-05,
+      "loss": 0.7929,
+      "step": 2499
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1100625456471307e-05,
+      "loss": 0.8457,
+      "step": 2500
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1094432251512006e-05,
+      "loss": 0.8022,
+      "step": 2501
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1088238621656422e-05,
+      "loss": 0.8392,
+      "step": 2502
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1082044569309138e-05,
+      "loss": 0.7419,
+      "step": 2503
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1075850096874894e-05,
+      "loss": 0.8217,
+      "step": 2504
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1069655206758603e-05,
+      "loss": 0.8216,
+      "step": 2505
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1063459901365325e-05,
+      "loss": 0.3542,
+      "step": 2506
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1057264183100303e-05,
+      "loss": 0.8361,
+      "step": 2507
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1051068054368921e-05,
+      "loss": 0.7808,
+      "step": 2508
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.104487151757673e-05,
+      "loss": 0.892,
+      "step": 2509
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1038674575129442e-05,
+      "loss": 0.8431,
+      "step": 2510
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1032477229432921e-05,
+      "loss": 0.8966,
+      "step": 2511
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1026279482893187e-05,
+      "loss": 0.8647,
+      "step": 2512
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1020081337916425e-05,
+      "loss": 0.8554,
+      "step": 2513
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1013882796908963e-05,
+      "loss": 0.8323,
+      "step": 2514
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1007683862277292e-05,
+      "loss": 0.8591,
+      "step": 2515
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.1001484536428052e-05,
+      "loss": 0.8167,
+      "step": 2516
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0995284821768029e-05,
+      "loss": 0.7723,
+      "step": 2517
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.098908472070417e-05,
+      "loss": 0.8409,
+      "step": 2518
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0982884235643567e-05,
+      "loss": 0.8861,
+      "step": 2519
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0976683368993464e-05,
+      "loss": 0.8439,
+      "step": 2520
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 1.0970482123161249e-05,
+      "loss": 0.7135,
+      "step": 2521
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0964280500554459e-05,
+      "loss": 0.84,
+      "step": 2522
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0958078503580776e-05,
+      "loss": 0.738,
+      "step": 2523
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0951876134648032e-05,
+      "loss": 0.8263,
+      "step": 2524
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0945673396164198e-05,
+      "loss": 0.8084,
+      "step": 2525
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0939470290537389e-05,
+      "loss": 0.8648,
+      "step": 2526
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0933266820175868e-05,
+      "loss": 0.8272,
+      "step": 2527
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0927062987488035e-05,
+      "loss": 0.8832,
+      "step": 2528
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0920858794882429e-05,
+      "loss": 0.8689,
+      "step": 2529
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0914654244767736e-05,
+      "loss": 0.8198,
+      "step": 2530
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0908449339552769e-05,
+      "loss": 0.8567,
+      "step": 2531
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0902244081646489e-05,
+      "loss": 0.8395,
+      "step": 2532
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0896038473457993e-05,
+      "loss": 0.8449,
+      "step": 2533
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0889832517396511e-05,
+      "loss": 0.8676,
+      "step": 2534
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0883626215871408e-05,
+      "loss": 0.8646,
+      "step": 2535
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0877419571292183e-05,
+      "loss": 0.7996,
+      "step": 2536
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0871212586068469e-05,
+      "loss": 0.8214,
+      "step": 2537
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0865005262610033e-05,
+      "loss": 0.8569,
+      "step": 2538
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.085879760332677e-05,
+      "loss": 0.8018,
+      "step": 2539
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.085258961062871e-05,
+      "loss": 0.7933,
+      "step": 2540
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0846381286926007e-05,
+      "loss": 0.8745,
+      "step": 2541
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0840172634628948e-05,
+      "loss": 0.8292,
+      "step": 2542
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0833963656147944e-05,
+      "loss": 0.8397,
+      "step": 2543
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.082775435389353e-05,
+      "loss": 0.8698,
+      "step": 2544
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0821544730276379e-05,
+      "loss": 0.8396,
+      "step": 2545
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0815334787707277e-05,
+      "loss": 0.8431,
+      "step": 2546
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0809124528597138e-05,
+      "loss": 0.8294,
+      "step": 2547
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0802913955356998e-05,
+      "loss": 0.8414,
+      "step": 2548
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0796703070398016e-05,
+      "loss": 0.7795,
+      "step": 2549
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.079049187613147e-05,
+      "loss": 0.8335,
+      "step": 2550
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0784280374968761e-05,
+      "loss": 0.8406,
+      "step": 2551
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0778068569321403e-05,
+      "loss": 0.8606,
+      "step": 2552
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.077185646160104e-05,
+      "loss": 0.7501,
+      "step": 2553
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0765644054219422e-05,
+      "loss": 0.8575,
+      "step": 2554
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0759431349588421e-05,
+      "loss": 0.8467,
+      "step": 2555
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0753218350120023e-05,
+      "loss": 0.8335,
+      "step": 2556
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0747005058226325e-05,
+      "loss": 0.3412,
+      "step": 2557
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0740791476319543e-05,
+      "loss": 0.8487,
+      "step": 2558
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0734577606812007e-05,
+      "loss": 0.8031,
+      "step": 2559
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0728363452116149e-05,
+      "loss": 0.8452,
+      "step": 2560
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0722149014644523e-05,
+      "loss": 0.8059,
+      "step": 2561
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0715934296809782e-05,
+      "loss": 0.8288,
+      "step": 2562
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0709719301024698e-05,
+      "loss": 0.7554,
+      "step": 2563
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0703504029702148e-05,
+      "loss": 0.8236,
+      "step": 2564
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0697288485255107e-05,
+      "loss": 0.7857,
+      "step": 2565
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0691072670096669e-05,
+      "loss": 0.8233,
+      "step": 2566
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0684856586640026e-05,
+      "loss": 0.8897,
+      "step": 2567
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0678640237298476e-05,
+      "loss": 0.8239,
+      "step": 2568
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0672423624485423e-05,
+      "loss": 0.8848,
+      "step": 2569
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0666206750614363e-05,
+      "loss": 0.8289,
+      "step": 2570
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0659989618098904e-05,
+      "loss": 0.832,
+      "step": 2571
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.065377222935275e-05,
+      "loss": 0.8296,
+      "step": 2572
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 1.0647554586789708e-05,
+      "loss": 0.8181,
+      "step": 2573
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.064133669282368e-05,
+      "loss": 0.7849,
+      "step": 2574
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0635118549868668e-05,
+      "loss": 0.7957,
+      "step": 2575
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0628900160338764e-05,
+      "loss": 0.7841,
+      "step": 2576
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0622681526648167e-05,
+      "loss": 0.8867,
+      "step": 2577
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0616462651211156e-05,
+      "loss": 0.8177,
+      "step": 2578
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0610243536442125e-05,
+      "loss": 0.8126,
+      "step": 2579
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0604024184755539e-05,
+      "loss": 0.7667,
+      "step": 2580
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0597804598565969e-05,
+      "loss": 0.7912,
+      "step": 2581
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0591584780288069e-05,
+      "loss": 0.8137,
+      "step": 2582
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0585364732336587e-05,
+      "loss": 0.784,
+      "step": 2583
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0579144457126365e-05,
+      "loss": 0.8536,
+      "step": 2584
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.057292395707232e-05,
+      "loss": 0.8466,
+      "step": 2585
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0566703234589471e-05,
+      "loss": 0.8216,
+      "step": 2586
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0560482292092912e-05,
+      "loss": 0.8065,
+      "step": 2587
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0554261131997833e-05,
+      "loss": 0.8358,
+      "step": 2588
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0548039756719497e-05,
+      "loss": 0.783,
+      "step": 2589
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.054181816867326e-05,
+      "loss": 0.7786,
+      "step": 2590
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.053559637027455e-05,
+      "loss": 0.8131,
+      "step": 2591
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0529374363938888e-05,
+      "loss": 0.8927,
+      "step": 2592
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0523152152081875e-05,
+      "loss": 0.7915,
+      "step": 2593
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.051692973711918e-05,
+      "loss": 0.8552,
+      "step": 2594
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0510707121466568e-05,
+      "loss": 0.8667,
+      "step": 2595
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0504484307539864e-05,
+      "loss": 0.8705,
+      "step": 2596
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0498261297754984e-05,
+      "loss": 0.8144,
+      "step": 2597
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0492038094527907e-05,
+      "loss": 0.804,
+      "step": 2598
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0485814700274706e-05,
+      "loss": 0.7794,
+      "step": 2599
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.047959111741151e-05,
+      "loss": 0.8331,
+      "step": 2600
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0473367348354529e-05,
+      "loss": 0.8442,
+      "step": 2601
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0467143395520044e-05,
+      "loss": 0.343,
+      "step": 2602
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.046091926132441e-05,
+      "loss": 0.8871,
+      "step": 2603
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0454694948184045e-05,
+      "loss": 0.809,
+      "step": 2604
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.044847045851545e-05,
+      "loss": 0.7979,
+      "step": 2605
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.044224579473518e-05,
+      "loss": 0.8616,
+      "step": 2606
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0436020959259862e-05,
+      "loss": 0.8434,
+      "step": 2607
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0429795954506203e-05,
+      "loss": 0.8252,
+      "step": 2608
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0423570782890951e-05,
+      "loss": 0.9047,
+      "step": 2609
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0417345446830938e-05,
+      "loss": 0.7319,
+      "step": 2610
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0411119948743052e-05,
+      "loss": 0.7985,
+      "step": 2611
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0404894291044247e-05,
+      "loss": 0.8095,
+      "step": 2612
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0398668476151538e-05,
+      "loss": 0.7755,
+      "step": 2613
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0392442506482e-05,
+      "loss": 0.8234,
+      "step": 2614
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.038621638445277e-05,
+      "loss": 0.337,
+      "step": 2615
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.037999011248104e-05,
+      "loss": 0.8583,
+      "step": 2616
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0373763692984062e-05,
+      "loss": 0.8011,
+      "step": 2617
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0367537128379154e-05,
+      "loss": 0.8788,
+      "step": 2618
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0361310421083677e-05,
+      "loss": 0.8926,
+      "step": 2619
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0355083573515052e-05,
+      "loss": 0.776,
+      "step": 2620
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0348856588090764e-05,
+      "loss": 0.7595,
+      "step": 2621
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0342629467228331e-05,
+      "loss": 0.8023,
+      "step": 2622
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0336402213345345e-05,
+      "loss": 0.8585,
+      "step": 2623
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 1.0330174828859434e-05,
+      "loss": 0.8271,
+      "step": 2624
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0323947316188288e-05,
+      "loss": 0.8158,
+      "step": 2625
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.031771967774964e-05,
+      "loss": 0.8269,
+      "step": 2626
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0311491915961271e-05,
+      "loss": 0.352,
+      "step": 2627
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.030526403324102e-05,
+      "loss": 0.7897,
+      "step": 2628
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0299036032006759e-05,
+      "loss": 0.8006,
+      "step": 2629
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0292807914676412e-05,
+      "loss": 0.3129,
+      "step": 2630
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0286579683667952e-05,
+      "loss": 0.7902,
+      "step": 2631
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0280351341399392e-05,
+      "loss": 0.864,
+      "step": 2632
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.027412289028879e-05,
+      "loss": 0.8159,
+      "step": 2633
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0267894332754243e-05,
+      "loss": 0.7827,
+      "step": 2634
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0261665671213891e-05,
+      "loss": 0.8086,
+      "step": 2635
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0255436908085919e-05,
+      "loss": 0.7851,
+      "step": 2636
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.024920804578854e-05,
+      "loss": 0.8697,
+      "step": 2637
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0242979086740019e-05,
+      "loss": 0.8235,
+      "step": 2638
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.023675003335865e-05,
+      "loss": 0.8241,
+      "step": 2639
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0230520888062765e-05,
+      "loss": 0.7776,
+      "step": 2640
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0224291653270739e-05,
+      "loss": 0.8979,
+      "step": 2641
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0218062331400969e-05,
+      "loss": 0.8346,
+      "step": 2642
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0211832924871889e-05,
+      "loss": 0.8829,
+      "step": 2643
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0205603436101978e-05,
+      "loss": 0.8112,
+      "step": 2644
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0199373867509734e-05,
+      "loss": 0.808,
+      "step": 2645
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.019314422151369e-05,
+      "loss": 0.7661,
+      "step": 2646
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0186914500532408e-05,
+      "loss": 0.8431,
+      "step": 2647
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0180684706984483e-05,
+      "loss": 0.7905,
+      "step": 2648
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0174454843288533e-05,
+      "loss": 0.8072,
+      "step": 2649
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0168224911863205e-05,
+      "loss": 0.7957,
+      "step": 2650
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0161994915127173e-05,
+      "loss": 0.7985,
+      "step": 2651
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.015576485549914e-05,
+      "loss": 0.8132,
+      "step": 2652
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0149534735397823e-05,
+      "loss": 0.8373,
+      "step": 2653
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0143304557241979e-05,
+      "loss": 0.8122,
+      "step": 2654
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0137074323450372e-05,
+      "loss": 0.3214,
+      "step": 2655
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0130844036441787e-05,
+      "loss": 0.7808,
+      "step": 2656
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0124613698635043e-05,
+      "loss": 0.8439,
+      "step": 2657
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0118383312448973e-05,
+      "loss": 0.8115,
+      "step": 2658
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0112152880302426e-05,
+      "loss": 0.3352,
+      "step": 2659
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0105922404614265e-05,
+      "loss": 0.8464,
+      "step": 2660
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0099691887803385e-05,
+      "loss": 0.7994,
+      "step": 2661
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0093461332288678e-05,
+      "loss": 0.3687,
+      "step": 2662
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0087230740489065e-05,
+      "loss": 0.8051,
+      "step": 2663
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0081000114823473e-05,
+      "loss": 0.7707,
+      "step": 2664
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.007476945771085e-05,
+      "loss": 0.843,
+      "step": 2665
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.006853877157015e-05,
+      "loss": 0.8058,
+      "step": 2666
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0062308058820337e-05,
+      "loss": 0.8766,
+      "step": 2667
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0056077321880393e-05,
+      "loss": 0.7882,
+      "step": 2668
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0049846563169297e-05,
+      "loss": 0.8376,
+      "step": 2669
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0043615785106051e-05,
+      "loss": 0.8109,
+      "step": 2670
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0037384990109658e-05,
+      "loss": 0.8338,
+      "step": 2671
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0031154180599123e-05,
+      "loss": 0.3508,
+      "step": 2672
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0024923358993458e-05,
+      "loss": 0.8204,
+      "step": 2673
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0018692527711695e-05,
+      "loss": 0.827,
+      "step": 2674
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0012461689172846e-05,
+      "loss": 0.8286,
+      "step": 2675
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 1.0006230845795937e-05,
+      "loss": 0.8693,
+      "step": 2676
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 1e-05,
+      "loss": 0.8078,
+      "step": 2677
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.993769154204063e-06,
+      "loss": 0.8345,
+      "step": 2678
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.987538310827159e-06,
+      "loss": 0.7653,
+      "step": 2679
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.981307472288308e-06,
+      "loss": 0.8078,
+      "step": 2680
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.975076641006542e-06,
+      "loss": 0.8914,
+      "step": 2681
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.968845819400883e-06,
+      "loss": 0.7678,
+      "step": 2682
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.962615009890346e-06,
+      "loss": 0.917,
+      "step": 2683
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.956384214893949e-06,
+      "loss": 0.8243,
+      "step": 2684
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.950153436830707e-06,
+      "loss": 0.8294,
+      "step": 2685
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.94392267811961e-06,
+      "loss": 0.8669,
+      "step": 2686
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.937691941179665e-06,
+      "loss": 0.7884,
+      "step": 2687
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.931461228429856e-06,
+      "loss": 0.8283,
+      "step": 2688
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.925230542289151e-06,
+      "loss": 0.8059,
+      "step": 2689
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.91899988517653e-06,
+      "loss": 0.8641,
+      "step": 2690
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.912769259510938e-06,
+      "loss": 0.8164,
+      "step": 2691
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.906538667711324e-06,
+      "loss": 0.8295,
+      "step": 2692
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.90030811219662e-06,
+      "loss": 0.8305,
+      "step": 2693
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.894077595385736e-06,
+      "loss": 0.7861,
+      "step": 2694
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.887847119697577e-06,
+      "loss": 0.833,
+      "step": 2695
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.881616687551032e-06,
+      "loss": 0.7521,
+      "step": 2696
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.875386301364958e-06,
+      "loss": 0.736,
+      "step": 2697
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.869155963558215e-06,
+      "loss": 0.85,
+      "step": 2698
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.862925676549635e-06,
+      "loss": 0.83,
+      "step": 2699
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.856695442758023e-06,
+      "loss": 0.8668,
+      "step": 2700
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.850465264602175e-06,
+      "loss": 0.8591,
+      "step": 2701
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.844235144500865e-06,
+      "loss": 0.8314,
+      "step": 2702
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.83800508487283e-06,
+      "loss": 0.8023,
+      "step": 2703
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.831775088136797e-06,
+      "loss": 0.8248,
+      "step": 2704
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.82554515671147e-06,
+      "loss": 0.8074,
+      "step": 2705
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.819315293015519e-06,
+      "loss": 0.8564,
+      "step": 2706
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.813085499467594e-06,
+      "loss": 0.8419,
+      "step": 2707
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.806855778486314e-06,
+      "loss": 0.782,
+      "step": 2708
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.800626132490268e-06,
+      "loss": 0.8175,
+      "step": 2709
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.794396563898022e-06,
+      "loss": 0.8208,
+      "step": 2710
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.788167075128113e-06,
+      "loss": 0.8314,
+      "step": 2711
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.781937668599035e-06,
+      "loss": 0.8253,
+      "step": 2712
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.775708346729263e-06,
+      "loss": 0.7909,
+      "step": 2713
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.769479111937238e-06,
+      "loss": 0.8115,
+      "step": 2714
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.763249966641352e-06,
+      "loss": 0.8057,
+      "step": 2715
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.757020913259986e-06,
+      "loss": 0.7844,
+      "step": 2716
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.750791954211464e-06,
+      "loss": 0.8373,
+      "step": 2717
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.744563091914085e-06,
+      "loss": 0.8075,
+      "step": 2718
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.738334328786114e-06,
+      "loss": 0.8304,
+      "step": 2719
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.732105667245759e-06,
+      "loss": 0.7718,
+      "step": 2720
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.725877109711212e-06,
+      "loss": 0.858,
+      "step": 2721
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.719648658600611e-06,
+      "loss": 0.8055,
+      "step": 2722
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.71342031633205e-06,
+      "loss": 0.8041,
+      "step": 2723
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.70719208532359e-06,
+      "loss": 0.7747,
+      "step": 2724
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.700963967993246e-06,
+      "loss": 0.7889,
+      "step": 2725
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.694735966758982e-06,
+      "loss": 0.8456,
+      "step": 2726
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.688508084038729e-06,
+      "loss": 0.8275,
+      "step": 2727
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 9.682280322250365e-06,
+      "loss": 0.7961,
+      "step": 2728
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.676052683811715e-06,
+      "loss": 0.8833,
+      "step": 2729
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.669825171140568e-06,
+      "loss": 0.7972,
+      "step": 2730
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.66359778665466e-06,
+      "loss": 0.8623,
+      "step": 2731
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.657370532771672e-06,
+      "loss": 0.8064,
+      "step": 2732
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.651143411909241e-06,
+      "loss": 0.8483,
+      "step": 2733
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.64491642648495e-06,
+      "loss": 0.8066,
+      "step": 2734
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.638689578916326e-06,
+      "loss": 0.801,
+      "step": 2735
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.632462871620847e-06,
+      "loss": 0.8,
+      "step": 2736
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.62623630701594e-06,
+      "loss": 0.7716,
+      "step": 2737
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.620009887518963e-06,
+      "loss": 0.7921,
+      "step": 2738
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.613783615547233e-06,
+      "loss": 0.8139,
+      "step": 2739
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.607557493518006e-06,
+      "loss": 0.8278,
+      "step": 2740
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.601331523848464e-06,
+      "loss": 0.7938,
+      "step": 2741
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.595105708955758e-06,
+      "loss": 0.3895,
+      "step": 2742
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.588880051256951e-06,
+      "loss": 0.8273,
+      "step": 2743
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.582654553169064e-06,
+      "loss": 0.8788,
+      "step": 2744
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.576429217109054e-06,
+      "loss": 0.7991,
+      "step": 2745
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.5702040454938e-06,
+      "loss": 0.8081,
+      "step": 2746
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.563979040740138e-06,
+      "loss": 0.8421,
+      "step": 2747
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.557754205264826e-06,
+      "loss": 0.841,
+      "step": 2748
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.551529541484554e-06,
+      "loss": 0.8482,
+      "step": 2749
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.545305051815957e-06,
+      "loss": 0.7621,
+      "step": 2750
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.539080738675597e-06,
+      "loss": 0.8367,
+      "step": 2751
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.53285660447996e-06,
+      "loss": 0.803,
+      "step": 2752
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.526632651645476e-06,
+      "loss": 0.7886,
+      "step": 2753
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.520408882588497e-06,
+      "loss": 0.8621,
+      "step": 2754
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.514185299725299e-06,
+      "loss": 0.8686,
+      "step": 2755
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.507961905472093e-06,
+      "loss": 0.8643,
+      "step": 2756
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.501738702245023e-06,
+      "loss": 0.785,
+      "step": 2757
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.495515692460138e-06,
+      "loss": 0.7944,
+      "step": 2758
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.489292878533436e-06,
+      "loss": 0.8236,
+      "step": 2759
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.483070262880823e-06,
+      "loss": 0.7896,
+      "step": 2760
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.476847847918126e-06,
+      "loss": 0.3484,
+      "step": 2761
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.47062563606111e-06,
+      "loss": 0.8475,
+      "step": 2762
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.464403629725454e-06,
+      "loss": 0.8687,
+      "step": 2763
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.458181831326744e-06,
+      "loss": 0.7425,
+      "step": 2764
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.451960243280506e-06,
+      "loss": 0.8303,
+      "step": 2765
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.44573886800217e-06,
+      "loss": 0.7973,
+      "step": 2766
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.43951770790709e-06,
+      "loss": 0.8728,
+      "step": 2767
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.433296765410534e-06,
+      "loss": 0.8114,
+      "step": 2768
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.427076042927683e-06,
+      "loss": 0.8355,
+      "step": 2769
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.420855542873638e-06,
+      "loss": 0.8169,
+      "step": 2770
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.414635267663416e-06,
+      "loss": 0.8264,
+      "step": 2771
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.408415219711934e-06,
+      "loss": 0.8043,
+      "step": 2772
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.402195401434036e-06,
+      "loss": 0.8623,
+      "step": 2773
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.395975815244468e-06,
+      "loss": 0.88,
+      "step": 2774
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.389756463557878e-06,
+      "loss": 0.3487,
+      "step": 2775
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.383537348788844e-06,
+      "loss": 0.7829,
+      "step": 2776
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.377318473351838e-06,
+      "loss": 0.7779,
+      "step": 2777
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.371099839661238e-06,
+      "loss": 0.8369,
+      "step": 2778
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.364881450131335e-06,
+      "loss": 0.8296,
+      "step": 2779
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 9.358663307176323e-06,
+      "loss": 0.8475,
+      "step": 2780
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.352445413210294e-06,
+      "loss": 0.8224,
+      "step": 2781
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.346227770647251e-06,
+      "loss": 0.8343,
+      "step": 2782
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.3400103819011e-06,
+      "loss": 0.799,
+      "step": 2783
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.33379324938564e-06,
+      "loss": 0.8319,
+      "step": 2784
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.327576375514582e-06,
+      "loss": 0.8204,
+      "step": 2785
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.321359762701527e-06,
+      "loss": 0.7849,
+      "step": 2786
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.315143413359975e-06,
+      "loss": 0.8115,
+      "step": 2787
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.308927329903333e-06,
+      "loss": 0.8458,
+      "step": 2788
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.302711514744897e-06,
+      "loss": 0.849,
+      "step": 2789
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.296495970297855e-06,
+      "loss": 0.8064,
+      "step": 2790
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.290280698975307e-06,
+      "loss": 0.8611,
+      "step": 2791
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.284065703190221e-06,
+      "loss": 0.8017,
+      "step": 2792
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.27785098535548e-06,
+      "loss": 0.8279,
+      "step": 2793
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.271636547883856e-06,
+      "loss": 0.8442,
+      "step": 2794
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.265422393187998e-06,
+      "loss": 0.7881,
+      "step": 2795
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.259208523680457e-06,
+      "loss": 0.824,
+      "step": 2796
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.252994941773679e-06,
+      "loss": 0.8473,
+      "step": 2797
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.24678164987998e-06,
+      "loss": 0.8237,
+      "step": 2798
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.24056865041158e-06,
+      "loss": 0.813,
+      "step": 2799
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.234355945780581e-06,
+      "loss": 0.7723,
+      "step": 2800
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.228143538398963e-06,
+      "loss": 0.8418,
+      "step": 2801
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.221931430678598e-06,
+      "loss": 0.8202,
+      "step": 2802
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.215719625031245e-06,
+      "loss": 0.8206,
+      "step": 2803
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.209508123868534e-06,
+      "loss": 0.8378,
+      "step": 2804
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.203296929601986e-06,
+      "loss": 0.7971,
+      "step": 2805
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.197086044643004e-06,
+      "loss": 0.3493,
+      "step": 2806
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.190875471402865e-06,
+      "loss": 0.7775,
+      "step": 2807
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.184665212292723e-06,
+      "loss": 0.7844,
+      "step": 2808
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.178455269723623e-06,
+      "loss": 0.8198,
+      "step": 2809
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.172245646106471e-06,
+      "loss": 0.8395,
+      "step": 2810
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.166036343852061e-06,
+      "loss": 0.8056,
+      "step": 2811
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.159827365371055e-06,
+      "loss": 0.8036,
+      "step": 2812
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.153618713073995e-06,
+      "loss": 0.7529,
+      "step": 2813
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.14741038937129e-06,
+      "loss": 0.7964,
+      "step": 2814
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.141202396673232e-06,
+      "loss": 0.8782,
+      "step": 2815
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.13499473738997e-06,
+      "loss": 0.8196,
+      "step": 2816
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.128787413931536e-06,
+      "loss": 0.8342,
+      "step": 2817
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.122580428707822e-06,
+      "loss": 0.7856,
+      "step": 2818
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.116373784128597e-06,
+      "loss": 0.7993,
+      "step": 2819
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.110167482603494e-06,
+      "loss": 0.8432,
+      "step": 2820
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.10396152654201e-06,
+      "loss": 0.834,
+      "step": 2821
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.097755918353513e-06,
+      "loss": 0.8909,
+      "step": 2822
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.091550660447236e-06,
+      "loss": 0.8733,
+      "step": 2823
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.08534575523227e-06,
+      "loss": 0.8731,
+      "step": 2824
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.079141205117573e-06,
+      "loss": 0.3314,
+      "step": 2825
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.072937012511968e-06,
+      "loss": 0.7819,
+      "step": 2826
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.066733179824134e-06,
+      "loss": 0.7579,
+      "step": 2827
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.060529709462613e-06,
+      "loss": 0.833,
+      "step": 2828
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.054326603835807e-06,
+      "loss": 0.7473,
+      "step": 2829
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.048123865351971e-06,
+      "loss": 0.7984,
+      "step": 2830
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.041921496419225e-06,
+      "loss": 0.793,
+      "step": 2831
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 9.035719499445545e-06,
+      "loss": 0.806,
+      "step": 2832
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.029517876838755e-06,
+      "loss": 0.87,
+      "step": 2833
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.023316631006536e-06,
+      "loss": 0.8048,
+      "step": 2834
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.017115764356436e-06,
+      "loss": 0.808,
+      "step": 2835
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.010915279295833e-06,
+      "loss": 0.8267,
+      "step": 2836
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 9.004715178231975e-06,
+      "loss": 0.8301,
+      "step": 2837
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.998515463571953e-06,
+      "loss": 0.8211,
+      "step": 2838
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.992316137722711e-06,
+      "loss": 0.7802,
+      "step": 2839
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.986117203091042e-06,
+      "loss": 0.8401,
+      "step": 2840
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.97991866208358e-06,
+      "loss": 0.8765,
+      "step": 2841
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.973720517106814e-06,
+      "loss": 0.8403,
+      "step": 2842
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.967522770567086e-06,
+      "loss": 0.8228,
+      "step": 2843
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.961325424870561e-06,
+      "loss": 0.8108,
+      "step": 2844
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.955128482423271e-06,
+      "loss": 0.8108,
+      "step": 2845
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.948931945631082e-06,
+      "loss": 0.8118,
+      "step": 2846
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.9427358168997e-06,
+      "loss": 0.799,
+      "step": 2847
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.936540098634675e-06,
+      "loss": 0.8156,
+      "step": 2848
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.930344793241404e-06,
+      "loss": 0.8071,
+      "step": 2849
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.924149903125108e-06,
+      "loss": 0.8237,
+      "step": 2850
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.917955430690865e-06,
+      "loss": 0.8091,
+      "step": 2851
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.91176137834358e-06,
+      "loss": 0.8332,
+      "step": 2852
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.905567748487997e-06,
+      "loss": 0.8186,
+      "step": 2853
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.899374543528695e-06,
+      "loss": 0.7756,
+      "step": 2854
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.893181765870094e-06,
+      "loss": 0.8145,
+      "step": 2855
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.886989417916435e-06,
+      "loss": 0.8083,
+      "step": 2856
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.88079750207181e-06,
+      "loss": 0.8234,
+      "step": 2857
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.87460602074013e-06,
+      "loss": 0.7833,
+      "step": 2858
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.86841497632514e-06,
+      "loss": 0.3633,
+      "step": 2859
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.862224371230418e-06,
+      "loss": 0.8809,
+      "step": 2860
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.85603420785937e-06,
+      "loss": 0.7764,
+      "step": 2861
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.84984448861523e-06,
+      "loss": 0.831,
+      "step": 2862
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.84365521590106e-06,
+      "loss": 0.7928,
+      "step": 2863
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.837466392119752e-06,
+      "loss": 0.8226,
+      "step": 2864
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.831278019674017e-06,
+      "loss": 0.7695,
+      "step": 2865
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.825090100966396e-06,
+      "loss": 0.8596,
+      "step": 2866
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.818902638399247e-06,
+      "loss": 0.8479,
+      "step": 2867
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.81271563437476e-06,
+      "loss": 0.8281,
+      "step": 2868
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.806529091294948e-06,
+      "loss": 0.81,
+      "step": 2869
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.800343011561633e-06,
+      "loss": 0.8064,
+      "step": 2870
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.794157397576464e-06,
+      "loss": 0.8016,
+      "step": 2871
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.787972251740916e-06,
+      "loss": 0.8635,
+      "step": 2872
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.781787576456269e-06,
+      "loss": 0.7742,
+      "step": 2873
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.775603374123627e-06,
+      "loss": 0.8237,
+      "step": 2874
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.769419647143917e-06,
+      "loss": 0.8505,
+      "step": 2875
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.763236397917865e-06,
+      "loss": 0.8056,
+      "step": 2876
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.757053628846028e-06,
+      "loss": 0.8039,
+      "step": 2877
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.75087134232877e-06,
+      "loss": 0.8101,
+      "step": 2878
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.744689540766265e-06,
+      "loss": 0.7994,
+      "step": 2879
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.738508226558499e-06,
+      "loss": 0.8466,
+      "step": 2880
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.73232740210528e-06,
+      "loss": 0.8045,
+      "step": 2881
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.726147069806206e-06,
+      "loss": 0.796,
+      "step": 2882
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.719967232060698e-06,
+      "loss": 0.8439,
+      "step": 2883
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 8.713787891267988e-06,
+      "loss": 0.8669,
+      "step": 2884
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.707609049827102e-06,
+      "loss": 0.7503,
+      "step": 2885
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.70143071013688e-06,
+      "loss": 0.8126,
+      "step": 2886
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.695252874595972e-06,
+      "loss": 0.8504,
+      "step": 2887
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.689075545602816e-06,
+      "loss": 0.8387,
+      "step": 2888
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.68289872555567e-06,
+      "loss": 0.8204,
+      "step": 2889
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.676722416852594e-06,
+      "loss": 0.8204,
+      "step": 2890
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.670546621891434e-06,
+      "loss": 0.8288,
+      "step": 2891
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.66437134306985e-06,
+      "loss": 0.8325,
+      "step": 2892
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.658196582785297e-06,
+      "loss": 0.8773,
+      "step": 2893
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.652022343435027e-06,
+      "loss": 0.7522,
+      "step": 2894
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.645848627416102e-06,
+      "loss": 0.8608,
+      "step": 2895
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.63967543712536e-06,
+      "loss": 0.8123,
+      "step": 2896
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.633502774959453e-06,
+      "loss": 0.8071,
+      "step": 2897
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.627330643314818e-06,
+      "loss": 0.7757,
+      "step": 2898
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.62115904458769e-06,
+      "loss": 0.83,
+      "step": 2899
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.614987981174093e-06,
+      "loss": 0.8255,
+      "step": 2900
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.608817455469854e-06,
+      "loss": 0.8179,
+      "step": 2901
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.602647469870573e-06,
+      "loss": 0.7661,
+      "step": 2902
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.596478026771658e-06,
+      "loss": 0.8437,
+      "step": 2903
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.590309128568303e-06,
+      "loss": 0.3292,
+      "step": 2904
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.584140777655476e-06,
+      "loss": 0.8104,
+      "step": 2905
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.57797297642795e-06,
+      "loss": 0.8141,
+      "step": 2906
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.571805727280278e-06,
+      "loss": 0.8597,
+      "step": 2907
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.565639032606794e-06,
+      "loss": 0.8459,
+      "step": 2908
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.559472894801623e-06,
+      "loss": 0.8973,
+      "step": 2909
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.553307316258678e-06,
+      "loss": 0.8041,
+      "step": 2910
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.547142299371642e-06,
+      "loss": 0.8729,
+      "step": 2911
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.540977846533986e-06,
+      "loss": 0.8613,
+      "step": 2912
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.534813960138968e-06,
+      "loss": 0.8092,
+      "step": 2913
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.528650642579618e-06,
+      "loss": 0.7741,
+      "step": 2914
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.52248789624875e-06,
+      "loss": 0.8339,
+      "step": 2915
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.516325723538949e-06,
+      "loss": 0.7975,
+      "step": 2916
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.510164126842591e-06,
+      "loss": 0.8176,
+      "step": 2917
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.504003108551814e-06,
+      "loss": 0.7984,
+      "step": 2918
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.497842671058539e-06,
+      "loss": 0.8306,
+      "step": 2919
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.491682816754456e-06,
+      "loss": 0.8378,
+      "step": 2920
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.485523548031044e-06,
+      "loss": 0.7708,
+      "step": 2921
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.479364867279529e-06,
+      "loss": 0.8131,
+      "step": 2922
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.47320677689093e-06,
+      "loss": 0.816,
+      "step": 2923
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.467049279256034e-06,
+      "loss": 0.8652,
+      "step": 2924
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.460892376765387e-06,
+      "loss": 0.8554,
+      "step": 2925
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.45473607180931e-06,
+      "loss": 0.8357,
+      "step": 2926
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.448580366777898e-06,
+      "loss": 0.8312,
+      "step": 2927
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.442425264061e-06,
+      "loss": 0.7835,
+      "step": 2928
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.436270766048245e-06,
+      "loss": 0.8327,
+      "step": 2929
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.430116875129023e-06,
+      "loss": 0.8123,
+      "step": 2930
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.42396359369248e-06,
+      "loss": 0.8148,
+      "step": 2931
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.417810924127533e-06,
+      "loss": 0.8634,
+      "step": 2932
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.411658868822866e-06,
+      "loss": 0.7947,
+      "step": 2933
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.40550743016691e-06,
+      "loss": 0.8121,
+      "step": 2934
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.39935661054787e-06,
+      "loss": 0.8408,
+      "step": 2935
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.393206412353709e-06,
+      "loss": 0.8709,
+      "step": 2936
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.38705683797214e-06,
+      "loss": 0.818,
+      "step": 2937
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.38090788979064e-06,
+      "loss": 0.8568,
+      "step": 2938
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.374759570196448e-06,
+      "loss": 0.8651,
+      "step": 2939
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.368611881576547e-06,
+      "loss": 0.8205,
+      "step": 2940
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.362464826317687e-06,
+      "loss": 0.8184,
+      "step": 2941
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.35631840680636e-06,
+      "loss": 0.9097,
+      "step": 2942
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.35017262542882e-06,
+      "loss": 0.7656,
+      "step": 2943
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.344027484571075e-06,
+      "loss": 0.8562,
+      "step": 2944
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.337882986618877e-06,
+      "loss": 0.3364,
+      "step": 2945
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.331739133957729e-06,
+      "loss": 0.857,
+      "step": 2946
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.325595928972894e-06,
+      "loss": 0.8268,
+      "step": 2947
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.319453374049367e-06,
+      "loss": 0.833,
+      "step": 2948
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.313311471571903e-06,
+      "loss": 0.8131,
+      "step": 2949
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.307170223925003e-06,
+      "loss": 0.8507,
+      "step": 2950
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.301029633492907e-06,
+      "loss": 0.3421,
+      "step": 2951
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.294889702659602e-06,
+      "loss": 0.7759,
+      "step": 2952
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.288750433808828e-06,
+      "loss": 0.8195,
+      "step": 2953
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.282611829324049e-06,
+      "loss": 0.8386,
+      "step": 2954
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.276473891588492e-06,
+      "loss": 0.7962,
+      "step": 2955
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.270336622985116e-06,
+      "loss": 0.8655,
+      "step": 2956
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.264200025896616e-06,
+      "loss": 0.8472,
+      "step": 2957
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.258064102705428e-06,
+      "loss": 0.851,
+      "step": 2958
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.251928855793736e-06,
+      "loss": 0.8218,
+      "step": 2959
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.245794287543447e-06,
+      "loss": 0.8173,
+      "step": 2960
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.239660400336213e-06,
+      "loss": 0.7922,
+      "step": 2961
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.233527196553428e-06,
+      "loss": 0.872,
+      "step": 2962
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.227394678576204e-06,
+      "loss": 0.8111,
+      "step": 2963
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.221262848785395e-06,
+      "loss": 0.8021,
+      "step": 2964
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.215131709561597e-06,
+      "loss": 0.8401,
+      "step": 2965
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.20900126328512e-06,
+      "loss": 0.7072,
+      "step": 2966
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.202871512336023e-06,
+      "loss": 0.7539,
+      "step": 2967
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.196742459094079e-06,
+      "loss": 0.7917,
+      "step": 2968
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.190614105938796e-06,
+      "loss": 0.8017,
+      "step": 2969
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.184486455249424e-06,
+      "loss": 0.8208,
+      "step": 2970
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.178359509404916e-06,
+      "loss": 0.8213,
+      "step": 2971
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.172233270783966e-06,
+      "loss": 0.7842,
+      "step": 2972
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.166107741764997e-06,
+      "loss": 0.7922,
+      "step": 2973
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.15998292472614e-06,
+      "loss": 0.786,
+      "step": 2974
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.153858822045267e-06,
+      "loss": 0.8131,
+      "step": 2975
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.147735436099967e-06,
+      "loss": 0.8602,
+      "step": 2976
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.141612769267543e-06,
+      "loss": 0.7936,
+      "step": 2977
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.135490823925027e-06,
+      "loss": 0.7872,
+      "step": 2978
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.129369602449176e-06,
+      "loss": 0.7949,
+      "step": 2979
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.123249107216446e-06,
+      "loss": 0.7838,
+      "step": 2980
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.117129340603032e-06,
+      "loss": 0.7926,
+      "step": 2981
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.111010304984841e-06,
+      "loss": 0.7951,
+      "step": 2982
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.104892002737488e-06,
+      "loss": 0.8061,
+      "step": 2983
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.098774436236308e-06,
+      "loss": 0.7746,
+      "step": 2984
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.092657607856356e-06,
+      "loss": 0.7667,
+      "step": 2985
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.086541519972388e-06,
+      "loss": 0.8295,
+      "step": 2986
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.080426174958886e-06,
+      "loss": 0.779,
+      "step": 2987
+    },
+    {
+      "epoch": 0.57,
+      "learning_rate": 8.074311575190039e-06,
+      "loss": 0.3567,
+      "step": 2988
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.068197723039738e-06,
+      "loss": 0.8069,
+      "step": 2989
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.062084620881598e-06,
+      "loss": 0.7966,
+      "step": 2990
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.055972271088933e-06,
+      "loss": 0.8084,
+      "step": 2991
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.049860676034762e-06,
+      "loss": 0.7984,
+      "step": 2992
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.043749838091828e-06,
+      "loss": 0.8593,
+      "step": 2993
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.037639759632558e-06,
+      "loss": 0.778,
+      "step": 2994
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.031530443029099e-06,
+      "loss": 0.7664,
+      "step": 2995
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.025421890653303e-06,
+      "loss": 0.8567,
+      "step": 2996
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.019314104876712e-06,
+      "loss": 0.7614,
+      "step": 2997
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.013207088070582e-06,
+      "loss": 0.8409,
+      "step": 2998
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.007100842605872e-06,
+      "loss": 0.8434,
+      "step": 2999
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 8.000995370853227e-06,
+      "loss": 0.83,
+      "step": 3000
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.994890675183008e-06,
+      "loss": 0.8174,
+      "step": 3001
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.98878675796527e-06,
+      "loss": 0.8115,
+      "step": 3002
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.98268362156976e-06,
+      "loss": 0.8137,
+      "step": 3003
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.976581268365924e-06,
+      "loss": 0.7862,
+      "step": 3004
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.97047970072291e-06,
+      "loss": 0.8486,
+      "step": 3005
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.964378921009552e-06,
+      "loss": 0.8074,
+      "step": 3006
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.958278931594385e-06,
+      "loss": 0.3494,
+      "step": 3007
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.952179734845642e-06,
+      "loss": 0.7582,
+      "step": 3008
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.946081333131227e-06,
+      "loss": 0.8455,
+      "step": 3009
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.93998372881876e-06,
+      "loss": 0.8187,
+      "step": 3010
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.93388692427554e-06,
+      "loss": 0.731,
+      "step": 3011
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.92779092186855e-06,
+      "loss": 0.7791,
+      "step": 3012
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.921695723964473e-06,
+      "loss": 0.8662,
+      "step": 3013
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.915601332929678e-06,
+      "loss": 0.7562,
+      "step": 3014
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.90950775113021e-06,
+      "loss": 0.8222,
+      "step": 3015
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.903414980931813e-06,
+      "loss": 0.7691,
+      "step": 3016
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.897323024699907e-06,
+      "loss": 0.7886,
+      "step": 3017
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.8912318847996e-06,
+      "loss": 0.8017,
+      "step": 3018
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.885141563595685e-06,
+      "loss": 0.793,
+      "step": 3019
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.879052063452626e-06,
+      "loss": 0.7775,
+      "step": 3020
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.872963386734584e-06,
+      "loss": 0.8202,
+      "step": 3021
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.866875535805394e-06,
+      "loss": 0.8065,
+      "step": 3022
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.860788513028566e-06,
+      "loss": 0.8321,
+      "step": 3023
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.85470232076729e-06,
+      "loss": 0.8294,
+      "step": 3024
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.848616961384442e-06,
+      "loss": 0.8729,
+      "step": 3025
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.842532437242559e-06,
+      "loss": 0.7915,
+      "step": 3026
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.83644875070387e-06,
+      "loss": 0.7935,
+      "step": 3027
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.83036590413027e-06,
+      "loss": 0.8405,
+      "step": 3028
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.824283899883327e-06,
+      "loss": 0.7742,
+      "step": 3029
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.818202740324287e-06,
+      "loss": 0.8195,
+      "step": 3030
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.812122427814068e-06,
+      "loss": 0.8204,
+      "step": 3031
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.806042964713248e-06,
+      "loss": 0.7947,
+      "step": 3032
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.79996435338209e-06,
+      "loss": 0.792,
+      "step": 3033
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.793886596180521e-06,
+      "loss": 0.799,
+      "step": 3034
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.787809695468134e-06,
+      "loss": 0.3402,
+      "step": 3035
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.78173365360419e-06,
+      "loss": 0.8455,
+      "step": 3036
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.775658472947623e-06,
+      "loss": 0.817,
+      "step": 3037
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.769584155857019e-06,
+      "loss": 0.8268,
+      "step": 3038
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.763510704690645e-06,
+      "loss": 0.8038,
+      "step": 3039
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 7.757438121806414e-06,
+      "loss": 0.8133,
+      "step": 3040
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.75136640956192e-06,
+      "loss": 0.7832,
+      "step": 3041
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.745295570314412e-06,
+      "loss": 0.8364,
+      "step": 3042
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.739225606420793e-06,
+      "loss": 0.8175,
+      "step": 3043
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.733156520237633e-06,
+      "loss": 0.8461,
+      "step": 3044
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.727088314121165e-06,
+      "loss": 0.7914,
+      "step": 3045
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.721020990427268e-06,
+      "loss": 0.8209,
+      "step": 3046
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.714954551511489e-06,
+      "loss": 0.8115,
+      "step": 3047
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.708888999729036e-06,
+      "loss": 0.8064,
+      "step": 3048
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.702824337434756e-06,
+      "loss": 0.3426,
+      "step": 3049
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.69676056698316e-06,
+      "loss": 0.8237,
+      "step": 3050
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.690697690728417e-06,
+      "loss": 0.7998,
+      "step": 3051
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.68463571102434e-06,
+      "loss": 0.7729,
+      "step": 3052
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.678574630224399e-06,
+      "loss": 0.7873,
+      "step": 3053
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.672514450681721e-06,
+      "loss": 0.814,
+      "step": 3054
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.666455174749066e-06,
+      "loss": 0.8,
+      "step": 3055
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.66039680477886e-06,
+      "loss": 0.7955,
+      "step": 3056
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.654339343123173e-06,
+      "loss": 0.7863,
+      "step": 3057
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.648282792133711e-06,
+      "loss": 0.7793,
+      "step": 3058
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.642227154161841e-06,
+      "loss": 0.8372,
+      "step": 3059
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.636172431558575e-06,
+      "loss": 0.8786,
+      "step": 3060
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.630118626674557e-06,
+      "loss": 0.3426,
+      "step": 3061
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.6240657418600846e-06,
+      "loss": 0.3473,
+      "step": 3062
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.618013779465101e-06,
+      "loss": 0.8066,
+      "step": 3063
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.611962741839178e-06,
+      "loss": 0.8384,
+      "step": 3064
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.6059126313315466e-06,
+      "loss": 0.8102,
+      "step": 3065
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.599863450291056e-06,
+      "loss": 0.8312,
+      "step": 3066
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.593815201066215e-06,
+      "loss": 0.8216,
+      "step": 3067
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.587767886005164e-06,
+      "loss": 0.833,
+      "step": 3068
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.581721507455672e-06,
+      "loss": 0.8368,
+      "step": 3069
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.575676067765154e-06,
+      "loss": 0.8183,
+      "step": 3070
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.569631569280662e-06,
+      "loss": 0.815,
+      "step": 3071
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.563588014348871e-06,
+      "loss": 0.8429,
+      "step": 3072
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.5575454053161e-06,
+      "loss": 0.838,
+      "step": 3073
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.551503744528304e-06,
+      "loss": 0.7546,
+      "step": 3074
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.545463034331054e-06,
+      "loss": 0.8341,
+      "step": 3075
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.539423277069568e-06,
+      "loss": 0.3554,
+      "step": 3076
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.53338447508869e-06,
+      "loss": 0.783,
+      "step": 3077
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.52734663073288e-06,
+      "loss": 0.776,
+      "step": 3078
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.521309746346246e-06,
+      "loss": 0.8601,
+      "step": 3079
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.515273824272516e-06,
+      "loss": 0.8337,
+      "step": 3080
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.509238866855033e-06,
+      "loss": 0.3585,
+      "step": 3081
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.503204876436785e-06,
+      "loss": 0.8175,
+      "step": 3082
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.497171855360372e-06,
+      "loss": 0.8273,
+      "step": 3083
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.491139805968018e-06,
+      "loss": 0.7851,
+      "step": 3084
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.485108730601571e-06,
+      "loss": 0.7922,
+      "step": 3085
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4790786316025125e-06,
+      "loss": 0.8255,
+      "step": 3086
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.473049511311921e-06,
+      "loss": 0.8184,
+      "step": 3087
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.467021372070515e-06,
+      "loss": 0.368,
+      "step": 3088
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.46099421621863e-06,
+      "loss": 0.3237,
+      "step": 3089
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4549680460962044e-06,
+      "loss": 0.8603,
+      "step": 3090
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.448942864042819e-06,
+      "loss": 0.3687,
+      "step": 3091
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 7.4429186723976425e-06,
+      "loss": 0.827,
+      "step": 3092
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.43689547349948e-06,
+      "loss": 0.826,
+      "step": 3093
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.43087326968675e-06,
+      "loss": 0.7971,
+      "step": 3094
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.42485206329747e-06,
+      "loss": 0.8129,
+      "step": 3095
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.418831856669286e-06,
+      "loss": 0.8146,
+      "step": 3096
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.41281265213945e-06,
+      "loss": 0.8329,
+      "step": 3097
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.406794452044816e-06,
+      "loss": 0.8479,
+      "step": 3098
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.400777258721865e-06,
+      "loss": 0.8269,
+      "step": 3099
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.394761074506679e-06,
+      "loss": 0.8738,
+      "step": 3100
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3887459017349405e-06,
+      "loss": 0.7871,
+      "step": 3101
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.382731742741953e-06,
+      "loss": 0.797,
+      "step": 3102
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.376718599862621e-06,
+      "loss": 0.816,
+      "step": 3103
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.370706475431446e-06,
+      "loss": 0.8611,
+      "step": 3104
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.364695371782547e-06,
+      "loss": 0.8118,
+      "step": 3105
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.358685291249644e-06,
+      "loss": 0.8754,
+      "step": 3106
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.352676236166051e-06,
+      "loss": 0.7845,
+      "step": 3107
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.346668208864695e-06,
+      "loss": 0.8896,
+      "step": 3108
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.3406612116781e-06,
+      "loss": 0.7563,
+      "step": 3109
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.33465524693838e-06,
+      "loss": 0.7956,
+      "step": 3110
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.328650316977265e-06,
+      "loss": 0.8176,
+      "step": 3111
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.322646424126079e-06,
+      "loss": 0.8108,
+      "step": 3112
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.316643570715729e-06,
+      "loss": 0.8078,
+      "step": 3113
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.310641759076742e-06,
+      "loss": 0.7968,
+      "step": 3114
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.304640991539216e-06,
+      "loss": 0.816,
+      "step": 3115
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2986412704328625e-06,
+      "loss": 0.8225,
+      "step": 3116
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.292642598086982e-06,
+      "loss": 0.8171,
+      "step": 3117
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.286644976830457e-06,
+      "loss": 0.8054,
+      "step": 3118
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.280648408991775e-06,
+      "loss": 0.7713,
+      "step": 3119
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.274652896899015e-06,
+      "loss": 0.8691,
+      "step": 3120
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.268658442879834e-06,
+      "loss": 0.7907,
+      "step": 3121
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.262665049261489e-06,
+      "loss": 0.8596,
+      "step": 3122
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.256672718370824e-06,
+      "loss": 0.8157,
+      "step": 3123
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.250681452534261e-06,
+      "loss": 0.8453,
+      "step": 3124
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.2446912540778196e-06,
+      "loss": 0.7751,
+      "step": 3125
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.238702125327106e-06,
+      "loss": 0.8233,
+      "step": 3126
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.232714068607296e-06,
+      "loss": 0.3341,
+      "step": 3127
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.226727086243168e-06,
+      "loss": 0.8026,
+      "step": 3128
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.220741180559074e-06,
+      "loss": 0.8369,
+      "step": 3129
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.214756353878942e-06,
+      "loss": 0.7719,
+      "step": 3130
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.208772608526293e-06,
+      "loss": 0.8136,
+      "step": 3131
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.202789946824227e-06,
+      "loss": 0.8361,
+      "step": 3132
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1968083710954075e-06,
+      "loss": 0.7956,
+      "step": 3133
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1908278836621e-06,
+      "loss": 0.8266,
+      "step": 3134
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.184848486846128e-06,
+      "loss": 0.874,
+      "step": 3135
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.178870182968904e-06,
+      "loss": 0.8303,
+      "step": 3136
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1728929743514065e-06,
+      "loss": 0.8387,
+      "step": 3137
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.166916863314199e-06,
+      "loss": 0.8438,
+      "step": 3138
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.1609418521774095e-06,
+      "loss": 0.7696,
+      "step": 3139
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.154967943260748e-06,
+      "loss": 0.7804,
+      "step": 3140
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.148995138883483e-06,
+      "loss": 0.7826,
+      "step": 3141
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.143023441364471e-06,
+      "loss": 0.7861,
+      "step": 3142
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.13705285302213e-06,
+      "loss": 0.8346,
+      "step": 3143
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 7.131083376174441e-06,
+      "loss": 0.8161,
+      "step": 3144
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.125115013138966e-06,
+      "loss": 0.7992,
+      "step": 3145
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.119147766232832e-06,
+      "loss": 0.8194,
+      "step": 3146
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.113181637772721e-06,
+      "loss": 0.8563,
+      "step": 3147
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.107216630074895e-06,
+      "loss": 0.7258,
+      "step": 3148
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.1012527454551795e-06,
+      "loss": 0.868,
+      "step": 3149
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.09528998622895e-06,
+      "loss": 0.803,
+      "step": 3150
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.089328354711159e-06,
+      "loss": 0.8482,
+      "step": 3151
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.083367853216323e-06,
+      "loss": 0.8394,
+      "step": 3152
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.077408484058505e-06,
+      "loss": 0.8363,
+      "step": 3153
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.071450249551342e-06,
+      "loss": 0.8068,
+      "step": 3154
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.065493152008026e-06,
+      "loss": 0.7966,
+      "step": 3155
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.059537193741306e-06,
+      "loss": 0.8267,
+      "step": 3156
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.053582377063489e-06,
+      "loss": 0.8173,
+      "step": 3157
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.047628704286446e-06,
+      "loss": 0.8269,
+      "step": 3158
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.041676177721588e-06,
+      "loss": 0.8534,
+      "step": 3159
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.035724799679898e-06,
+      "loss": 0.7772,
+      "step": 3160
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.029774572471904e-06,
+      "loss": 0.7903,
+      "step": 3161
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.023825498407689e-06,
+      "loss": 0.8495,
+      "step": 3162
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.0178775797968855e-06,
+      "loss": 0.7798,
+      "step": 3163
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.011930818948688e-06,
+      "loss": 0.3422,
+      "step": 3164
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.005985218171825e-06,
+      "loss": 0.8046,
+      "step": 3165
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 7.000040779774591e-06,
+      "loss": 0.8483,
+      "step": 3166
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.994097506064812e-06,
+      "loss": 0.8339,
+      "step": 3167
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9881553993498805e-06,
+      "loss": 0.3504,
+      "step": 3168
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9822144619367275e-06,
+      "loss": 0.8069,
+      "step": 3169
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.97627469613182e-06,
+      "loss": 0.8166,
+      "step": 3170
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.970336104241186e-06,
+      "loss": 0.7869,
+      "step": 3171
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9643986885703955e-06,
+      "loss": 0.8516,
+      "step": 3172
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.958462451424547e-06,
+      "loss": 0.3423,
+      "step": 3173
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.952527395108302e-06,
+      "loss": 0.8631,
+      "step": 3174
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9465935219258504e-06,
+      "loss": 0.7421,
+      "step": 3175
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.9406608341809215e-06,
+      "loss": 0.8416,
+      "step": 3176
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.934729334176793e-06,
+      "loss": 0.8085,
+      "step": 3177
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.928799024216282e-06,
+      "loss": 0.7308,
+      "step": 3178
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.92286990660173e-06,
+      "loss": 0.7939,
+      "step": 3179
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.91694198363503e-06,
+      "loss": 0.7442,
+      "step": 3180
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.911015257617606e-06,
+      "loss": 0.8074,
+      "step": 3181
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.905089730850416e-06,
+      "loss": 0.7777,
+      "step": 3182
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8991654056339505e-06,
+      "loss": 0.8133,
+      "step": 3183
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.893242284268244e-06,
+      "loss": 0.8401,
+      "step": 3184
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.887320369052848e-06,
+      "loss": 0.8456,
+      "step": 3185
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8813996622868584e-06,
+      "loss": 0.8256,
+      "step": 3186
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8754801662688964e-06,
+      "loss": 0.7864,
+      "step": 3187
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.869561883297116e-06,
+      "loss": 0.8114,
+      "step": 3188
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.863644815669197e-06,
+      "loss": 0.8335,
+      "step": 3189
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.857728965682344e-06,
+      "loss": 0.8528,
+      "step": 3190
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.851814335633298e-06,
+      "loss": 0.7919,
+      "step": 3191
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.8459009278183275e-06,
+      "loss": 0.8068,
+      "step": 3192
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.839988744533211e-06,
+      "loss": 0.3256,
+      "step": 3193
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.834077788073268e-06,
+      "loss": 0.8272,
+      "step": 3194
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.828168060733336e-06,
+      "loss": 0.8645,
+      "step": 3195
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 6.822259564807768e-06,
+      "loss": 0.838,
+      "step": 3196
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.81635230259045e-06,
+      "loss": 0.8214,
+      "step": 3197
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.810446276374789e-06,
+      "loss": 0.8433,
+      "step": 3198
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.8045414884536975e-06,
+      "loss": 0.36,
+      "step": 3199
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7986379411196255e-06,
+      "loss": 0.8209,
+      "step": 3200
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7927356366645315e-06,
+      "loss": 0.8107,
+      "step": 3201
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.786834577379893e-06,
+      "loss": 0.831,
+      "step": 3202
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.780934765556702e-06,
+      "loss": 0.8329,
+      "step": 3203
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.775036203485472e-06,
+      "loss": 0.8052,
+      "step": 3204
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.769138893456225e-06,
+      "loss": 0.8155,
+      "step": 3205
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.763242837758504e-06,
+      "loss": 0.7961,
+      "step": 3206
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.757348038681357e-06,
+      "loss": 0.8325,
+      "step": 3207
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.751454498513349e-06,
+      "loss": 0.7355,
+      "step": 3208
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.745562219542554e-06,
+      "loss": 0.7927,
+      "step": 3209
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.7396712040565625e-06,
+      "loss": 0.7643,
+      "step": 3210
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.733781454342463e-06,
+      "loss": 0.7939,
+      "step": 3211
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.727892972686861e-06,
+      "loss": 0.7883,
+      "step": 3212
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.722005761375873e-06,
+      "loss": 0.8039,
+      "step": 3213
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.716119822695111e-06,
+      "loss": 0.8524,
+      "step": 3214
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.710235158929703e-06,
+      "loss": 0.8296,
+      "step": 3215
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.704351772364274e-06,
+      "loss": 0.8317,
+      "step": 3216
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.698469665282958e-06,
+      "loss": 0.7621,
+      "step": 3217
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.692588839969397e-06,
+      "loss": 0.809,
+      "step": 3218
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6867092987067214e-06,
+      "loss": 0.7869,
+      "step": 3219
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.680831043777579e-06,
+      "loss": 0.7996,
+      "step": 3220
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.674954077464108e-06,
+      "loss": 0.8009,
+      "step": 3221
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6690784020479484e-06,
+      "loss": 0.7483,
+      "step": 3222
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6632040198102364e-06,
+      "loss": 0.7811,
+      "step": 3223
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.657330933031619e-06,
+      "loss": 0.8128,
+      "step": 3224
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.651459143992221e-06,
+      "loss": 0.3357,
+      "step": 3225
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.645588654971677e-06,
+      "loss": 0.8179,
+      "step": 3226
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.639719468249115e-06,
+      "loss": 0.8314,
+      "step": 3227
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.633851586103153e-06,
+      "loss": 0.8234,
+      "step": 3228
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.627985010811903e-06,
+      "loss": 0.8028,
+      "step": 3229
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.622119744652977e-06,
+      "loss": 0.7868,
+      "step": 3230
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.616255789903467e-06,
+      "loss": 0.8182,
+      "step": 3231
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.610393148839964e-06,
+      "loss": 0.7984,
+      "step": 3232
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.6045318237385526e-06,
+      "loss": 0.8694,
+      "step": 3233
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.598671816874794e-06,
+      "loss": 0.8765,
+      "step": 3234
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5928131305237465e-06,
+      "loss": 0.8193,
+      "step": 3235
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.586955766959958e-06,
+      "loss": 0.8444,
+      "step": 3236
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.581099728457451e-06,
+      "loss": 0.8392,
+      "step": 3237
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5752450172897466e-06,
+      "loss": 0.7836,
+      "step": 3238
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.569391635729847e-06,
+      "loss": 0.8076,
+      "step": 3239
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.563539586050233e-06,
+      "loss": 0.8236,
+      "step": 3240
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.557688870522871e-06,
+      "loss": 0.8298,
+      "step": 3241
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.551839491419213e-06,
+      "loss": 0.8126,
+      "step": 3242
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.545991451010185e-06,
+      "loss": 0.8086,
+      "step": 3243
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5401447515662065e-06,
+      "loss": 0.8289,
+      "step": 3244
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5342993953571556e-06,
+      "loss": 0.8538,
+      "step": 3245
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.52845538465241e-06,
+      "loss": 0.7694,
+      "step": 3246
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.522612721720813e-06,
+      "loss": 0.7842,
+      "step": 3247
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 6.5167714088306865e-06,
+      "loss": 0.8418,
+      "step": 3248
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.51093144824983e-06,
+      "loss": 0.8004,
+      "step": 3249
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.505092842245519e-06,
+      "loss": 0.7528,
+      "step": 3250
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.499255593084498e-06,
+      "loss": 0.8041,
+      "step": 3251
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.493419703032991e-06,
+      "loss": 0.8525,
+      "step": 3252
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.487585174356691e-06,
+      "loss": 0.3163,
+      "step": 3253
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.481752009320761e-06,
+      "loss": 0.8511,
+      "step": 3254
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4759202101898366e-06,
+      "loss": 0.7795,
+      "step": 3255
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4700897792280285e-06,
+      "loss": 0.8223,
+      "step": 3256
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.464260718698902e-06,
+      "loss": 0.7752,
+      "step": 3257
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.458433030865503e-06,
+      "loss": 0.8104,
+      "step": 3258
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.452606717990346e-06,
+      "loss": 0.8337,
+      "step": 3259
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4467817823354005e-06,
+      "loss": 0.8253,
+      "step": 3260
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.440958226162104e-06,
+      "loss": 0.8372,
+      "step": 3261
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.43513605173137e-06,
+      "loss": 0.8095,
+      "step": 3262
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4293152613035594e-06,
+      "loss": 0.8703,
+      "step": 3263
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4234958571385095e-06,
+      "loss": 0.7195,
+      "step": 3264
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4176778414955075e-06,
+      "loss": 0.8757,
+      "step": 3265
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4118612166333124e-06,
+      "loss": 0.7971,
+      "step": 3266
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.4060459848101354e-06,
+      "loss": 0.7826,
+      "step": 3267
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.400232148283651e-06,
+      "loss": 0.371,
+      "step": 3268
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3944197093109885e-06,
+      "loss": 0.8081,
+      "step": 3269
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.388608670148741e-06,
+      "loss": 0.7788,
+      "step": 3270
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.38279903305295e-06,
+      "loss": 0.8114,
+      "step": 3271
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.376990800279119e-06,
+      "loss": 0.8368,
+      "step": 3272
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3711839740822035e-06,
+      "loss": 0.7799,
+      "step": 3273
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3653785567166125e-06,
+      "loss": 0.7921,
+      "step": 3274
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.359574550436209e-06,
+      "loss": 0.8065,
+      "step": 3275
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.3537719574943105e-06,
+      "loss": 0.8305,
+      "step": 3276
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.347970780143678e-06,
+      "loss": 0.8255,
+      "step": 3277
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.342171020636533e-06,
+      "loss": 0.7845,
+      "step": 3278
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.336372681224543e-06,
+      "loss": 0.8908,
+      "step": 3279
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.330575764158819e-06,
+      "loss": 0.7568,
+      "step": 3280
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.324780271689923e-06,
+      "loss": 0.8322,
+      "step": 3281
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.318986206067872e-06,
+      "loss": 0.8643,
+      "step": 3282
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.313193569542113e-06,
+      "loss": 0.787,
+      "step": 3283
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.30740236436155e-06,
+      "loss": 0.8352,
+      "step": 3284
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.301612592774533e-06,
+      "loss": 0.8516,
+      "step": 3285
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.295824257028844e-06,
+      "loss": 0.782,
+      "step": 3286
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.290037359371717e-06,
+      "loss": 0.7656,
+      "step": 3287
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.284251902049827e-06,
+      "loss": 0.8062,
+      "step": 3288
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.278467887309283e-06,
+      "loss": 0.8185,
+      "step": 3289
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.272685317395644e-06,
+      "loss": 0.8196,
+      "step": 3290
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.266904194553896e-06,
+      "loss": 0.8432,
+      "step": 3291
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.261124521028477e-06,
+      "loss": 0.7374,
+      "step": 3292
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.255346299063252e-06,
+      "loss": 0.8016,
+      "step": 3293
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.249569530901525e-06,
+      "loss": 0.8194,
+      "step": 3294
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.243794218786034e-06,
+      "loss": 0.8315,
+      "step": 3295
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.238020364958964e-06,
+      "loss": 0.8199,
+      "step": 3296
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.232247971661912e-06,
+      "loss": 0.7824,
+      "step": 3297
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.2264770411359256e-06,
+      "loss": 0.8389,
+      "step": 3298
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.22070757562148e-06,
+      "loss": 0.8373,
+      "step": 3299
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 6.214939577358479e-06,
+      "loss": 0.8429,
+      "step": 3300
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.209173048586253e-06,
+      "loss": 0.79,
+      "step": 3301
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.203407991543577e-06,
+      "loss": 0.8257,
+      "step": 3302
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.197644408468635e-06,
+      "loss": 0.8135,
+      "step": 3303
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.191882301599052e-06,
+      "loss": 0.7967,
+      "step": 3304
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.186121673171882e-06,
+      "loss": 0.7973,
+      "step": 3305
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.180362525423591e-06,
+      "loss": 0.7756,
+      "step": 3306
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.174604860590081e-06,
+      "loss": 0.7933,
+      "step": 3307
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.168848680906678e-06,
+      "loss": 0.8312,
+      "step": 3308
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.163093988608127e-06,
+      "loss": 0.8186,
+      "step": 3309
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.157340785928595e-06,
+      "loss": 0.8359,
+      "step": 3310
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.151589075101681e-06,
+      "loss": 0.8458,
+      "step": 3311
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.145838858360391e-06,
+      "loss": 0.809,
+      "step": 3312
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.140090137937158e-06,
+      "loss": 0.8327,
+      "step": 3313
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.134342916063838e-06,
+      "loss": 0.3428,
+      "step": 3314
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.128597194971691e-06,
+      "loss": 0.8405,
+      "step": 3315
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.122852976891413e-06,
+      "loss": 0.7945,
+      "step": 3316
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.117110264053101e-06,
+      "loss": 0.8013,
+      "step": 3317
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.111369058686276e-06,
+      "loss": 0.8119,
+      "step": 3318
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.105629363019875e-06,
+      "loss": 0.7884,
+      "step": 3319
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.099891179282242e-06,
+      "loss": 0.7778,
+      "step": 3320
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.094154509701133e-06,
+      "loss": 0.8821,
+      "step": 3321
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.088419356503732e-06,
+      "loss": 0.7302,
+      "step": 3322
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.082685721916612e-06,
+      "loss": 0.7909,
+      "step": 3323
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.076953608165772e-06,
+      "loss": 0.8247,
+      "step": 3324
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.07122301747662e-06,
+      "loss": 0.8303,
+      "step": 3325
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.065493952073961e-06,
+      "loss": 0.7723,
+      "step": 3326
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0597664141820176e-06,
+      "loss": 0.8252,
+      "step": 3327
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.054040406024422e-06,
+      "loss": 0.8789,
+      "step": 3328
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.0483159298242e-06,
+      "loss": 0.771,
+      "step": 3329
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.042592987803796e-06,
+      "loss": 0.866,
+      "step": 3330
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.036871582185054e-06,
+      "loss": 0.7429,
+      "step": 3331
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.031151715189217e-06,
+      "loss": 0.8056,
+      "step": 3332
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.025433389036935e-06,
+      "loss": 0.7842,
+      "step": 3333
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.019716605948261e-06,
+      "loss": 0.8017,
+      "step": 3334
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.014001368142643e-06,
+      "loss": 0.7861,
+      "step": 3335
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.008287677838937e-06,
+      "loss": 0.7539,
+      "step": 3336
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 6.002575537255395e-06,
+      "loss": 0.8078,
+      "step": 3337
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.996864948609662e-06,
+      "loss": 0.7475,
+      "step": 3338
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9911559141187924e-06,
+      "loss": 0.3433,
+      "step": 3339
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.9854484359992235e-06,
+      "loss": 0.7805,
+      "step": 3340
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.979742516466793e-06,
+      "loss": 0.7948,
+      "step": 3341
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.974038157736746e-06,
+      "loss": 0.843,
+      "step": 3342
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.968335362023697e-06,
+      "loss": 0.7906,
+      "step": 3343
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.962634131541676e-06,
+      "loss": 0.7962,
+      "step": 3344
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.956934468504101e-06,
+      "loss": 0.7836,
+      "step": 3345
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.951236375123768e-06,
+      "loss": 0.3552,
+      "step": 3346
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.945539853612876e-06,
+      "loss": 0.7291,
+      "step": 3347
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.939844906183016e-06,
+      "loss": 0.8124,
+      "step": 3348
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.934151535045156e-06,
+      "loss": 0.8612,
+      "step": 3349
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.92845974240966e-06,
+      "loss": 0.7932,
+      "step": 3350
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.922769530486283e-06,
+      "loss": 0.7678,
+      "step": 3351
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 5.917080901484156e-06,
+      "loss": 0.8208,
+      "step": 3352
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.9113938576118e-06,
+      "loss": 0.7916,
+      "step": 3353
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.905708401077128e-06,
+      "loss": 0.8055,
+      "step": 3354
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.900024534087421e-06,
+      "loss": 0.8345,
+      "step": 3355
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.894342258849355e-06,
+      "loss": 0.777,
+      "step": 3356
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.88866157756899e-06,
+      "loss": 0.8173,
+      "step": 3357
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.882982492451757e-06,
+      "loss": 0.3358,
+      "step": 3358
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.877305005702471e-06,
+      "loss": 0.8059,
+      "step": 3359
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.871629119525335e-06,
+      "loss": 0.7612,
+      "step": 3360
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.865954836123915e-06,
+      "loss": 0.83,
+      "step": 3361
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.860282157701167e-06,
+      "loss": 0.826,
+      "step": 3362
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.854611086459423e-06,
+      "loss": 0.8173,
+      "step": 3363
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8489416246003814e-06,
+      "loss": 0.8116,
+      "step": 3364
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8432737743251315e-06,
+      "loss": 0.3561,
+      "step": 3365
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8376075378341194e-06,
+      "loss": 0.8356,
+      "step": 3366
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.831942917327172e-06,
+      "loss": 0.8124,
+      "step": 3367
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.826279915003503e-06,
+      "loss": 0.8426,
+      "step": 3368
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.8206185330616725e-06,
+      "loss": 0.8232,
+      "step": 3369
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.814958773699625e-06,
+      "loss": 0.3658,
+      "step": 3370
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.809300639114683e-06,
+      "loss": 0.8055,
+      "step": 3371
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.803644131503516e-06,
+      "loss": 0.8255,
+      "step": 3372
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.797989253062186e-06,
+      "loss": 0.858,
+      "step": 3373
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.792336005986105e-06,
+      "loss": 0.8625,
+      "step": 3374
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.786684392470064e-06,
+      "loss": 0.8101,
+      "step": 3375
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.781034414708208e-06,
+      "loss": 0.8311,
+      "step": 3376
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.775386074894058e-06,
+      "loss": 0.3649,
+      "step": 3377
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.769739375220489e-06,
+      "loss": 0.8064,
+      "step": 3378
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7640943178797445e-06,
+      "loss": 0.8123,
+      "step": 3379
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7584509050634395e-06,
+      "loss": 0.7437,
+      "step": 3380
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.752809138962525e-06,
+      "loss": 0.8371,
+      "step": 3381
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.747169021767342e-06,
+      "loss": 0.7957,
+      "step": 3382
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7415305556675805e-06,
+      "loss": 0.8164,
+      "step": 3383
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.73589374285227e-06,
+      "loss": 0.8694,
+      "step": 3384
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.730258585509832e-06,
+      "loss": 0.8233,
+      "step": 3385
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.724625085828022e-06,
+      "loss": 0.8315,
+      "step": 3386
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.718993245993958e-06,
+      "loss": 0.7971,
+      "step": 3387
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.713363068194115e-06,
+      "loss": 0.8593,
+      "step": 3388
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.7077345546143235e-06,
+      "loss": 0.8612,
+      "step": 3389
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.702107707439766e-06,
+      "loss": 0.7473,
+      "step": 3390
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6964825288549745e-06,
+      "loss": 0.7479,
+      "step": 3391
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.690859021043842e-06,
+      "loss": 0.7847,
+      "step": 3392
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.685237186189601e-06,
+      "loss": 0.7568,
+      "step": 3393
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.679617026474853e-06,
+      "loss": 0.8056,
+      "step": 3394
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.673998544081527e-06,
+      "loss": 0.7902,
+      "step": 3395
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.6683817411909114e-06,
+      "loss": 0.3446,
+      "step": 3396
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.662766619983653e-06,
+      "loss": 0.8241,
+      "step": 3397
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.65715318263972e-06,
+      "loss": 0.3501,
+      "step": 3398
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.651541431338454e-06,
+      "loss": 0.8837,
+      "step": 3399
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.645931368258527e-06,
+      "loss": 0.7686,
+      "step": 3400
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.640322995577958e-06,
+      "loss": 0.8132,
+      "step": 3401
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.634716315474109e-06,
+      "loss": 0.8197,
+      "step": 3402
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.629111330123689e-06,
+      "loss": 0.7991,
+      "step": 3403
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 5.623508041702743e-06,
+      "loss": 0.8424,
+      "step": 3404
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.617906452386659e-06,
+      "loss": 0.3554,
+      "step": 3405
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.612306564350179e-06,
+      "loss": 0.3179,
+      "step": 3406
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.6067083797673535e-06,
+      "loss": 0.8138,
+      "step": 3407
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.601111900811607e-06,
+      "loss": 0.3145,
+      "step": 3408
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.595517129655681e-06,
+      "loss": 0.7581,
+      "step": 3409
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.589924068471648e-06,
+      "loss": 0.7804,
+      "step": 3410
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.58433271943094e-06,
+      "loss": 0.8306,
+      "step": 3411
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.578743084704306e-06,
+      "loss": 0.761,
+      "step": 3412
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.573155166461833e-06,
+      "loss": 0.8096,
+      "step": 3413
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.567568966872947e-06,
+      "loss": 0.7581,
+      "step": 3414
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5619844881064e-06,
+      "loss": 0.8415,
+      "step": 3415
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.556401732330281e-06,
+      "loss": 0.8367,
+      "step": 3416
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.550820701712007e-06,
+      "loss": 0.6954,
+      "step": 3417
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.545241398418326e-06,
+      "loss": 0.7711,
+      "step": 3418
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.539663824615312e-06,
+      "loss": 0.7715,
+      "step": 3419
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.534087982468384e-06,
+      "loss": 0.7284,
+      "step": 3420
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.5285138741422615e-06,
+      "loss": 0.778,
+      "step": 3421
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.522941501801008e-06,
+      "loss": 0.3344,
+      "step": 3422
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.517370867608021e-06,
+      "loss": 0.8485,
+      "step": 3423
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.511801973725997e-06,
+      "loss": 0.7744,
+      "step": 3424
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.506234822316983e-06,
+      "loss": 0.7119,
+      "step": 3425
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.500669415542336e-06,
+      "loss": 0.785,
+      "step": 3426
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.495105755562738e-06,
+      "loss": 0.7326,
+      "step": 3427
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4895438445381945e-06,
+      "loss": 0.8026,
+      "step": 3428
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.48398368462803e-06,
+      "loss": 0.3605,
+      "step": 3429
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4784252779908905e-06,
+      "loss": 0.8096,
+      "step": 3430
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.4728686267847354e-06,
+      "loss": 0.7857,
+      "step": 3431
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.467313733166863e-06,
+      "loss": 0.8059,
+      "step": 3432
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.461760599293855e-06,
+      "loss": 0.8486,
+      "step": 3433
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.456209227321643e-06,
+      "loss": 0.8554,
+      "step": 3434
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.450659619405458e-06,
+      "loss": 0.8645,
+      "step": 3435
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.445111777699842e-06,
+      "loss": 0.869,
+      "step": 3436
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.439565704358667e-06,
+      "loss": 0.8603,
+      "step": 3437
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.434021401535105e-06,
+      "loss": 0.78,
+      "step": 3438
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.428478871381646e-06,
+      "loss": 0.8047,
+      "step": 3439
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.422938116050092e-06,
+      "loss": 0.8508,
+      "step": 3440
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.417399137691552e-06,
+      "loss": 0.8064,
+      "step": 3441
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.411861938456453e-06,
+      "loss": 0.8032,
+      "step": 3442
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.406326520494522e-06,
+      "loss": 0.8978,
+      "step": 3443
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.400792885954802e-06,
+      "loss": 0.7931,
+      "step": 3444
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.395261036985635e-06,
+      "loss": 0.7702,
+      "step": 3445
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.389730975734686e-06,
+      "loss": 0.7262,
+      "step": 3446
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.384202704348902e-06,
+      "loss": 0.8181,
+      "step": 3447
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.378676224974557e-06,
+      "loss": 0.7561,
+      "step": 3448
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.373151539757224e-06,
+      "loss": 0.8222,
+      "step": 3449
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.367628650841761e-06,
+      "loss": 0.7627,
+      "step": 3450
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.362107560372358e-06,
+      "loss": 0.8392,
+      "step": 3451
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.356588270492487e-06,
+      "loss": 0.7311,
+      "step": 3452
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.351070783344926e-06,
+      "loss": 0.7852,
+      "step": 3453
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.3455551010717545e-06,
+      "loss": 0.8009,
+      "step": 3454
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.34004122581435e-06,
+      "loss": 0.8394,
+      "step": 3455
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 5.334529159713389e-06,
+      "loss": 0.7715,
+      "step": 3456
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.329018904908841e-06,
+      "loss": 0.8085,
+      "step": 3457
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.323510463539989e-06,
+      "loss": 0.795,
+      "step": 3458
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.318003837745382e-06,
+      "loss": 0.7914,
+      "step": 3459
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.3124990296628974e-06,
+      "loss": 0.8041,
+      "step": 3460
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.306996041429688e-06,
+      "loss": 0.7349,
+      "step": 3461
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.301494875182192e-06,
+      "loss": 0.8169,
+      "step": 3462
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.295995533056162e-06,
+      "loss": 0.8271,
+      "step": 3463
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.290498017186631e-06,
+      "loss": 0.8395,
+      "step": 3464
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2850023297079235e-06,
+      "loss": 0.822,
+      "step": 3465
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.279508472753654e-06,
+      "loss": 0.8116,
+      "step": 3466
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.274016448456725e-06,
+      "loss": 0.3116,
+      "step": 3467
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2685262589493314e-06,
+      "loss": 0.8273,
+      "step": 3468
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.263037906362953e-06,
+      "loss": 0.8033,
+      "step": 3469
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.257551392828359e-06,
+      "loss": 0.8405,
+      "step": 3470
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.252066720475597e-06,
+      "loss": 0.8196,
+      "step": 3471
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.246583891434018e-06,
+      "loss": 0.7658,
+      "step": 3472
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.241102907832232e-06,
+      "loss": 0.7922,
+      "step": 3473
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.235623771798151e-06,
+      "loss": 0.3403,
+      "step": 3474
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.23014648545897e-06,
+      "loss": 0.7609,
+      "step": 3475
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.224671050941146e-06,
+      "loss": 0.8074,
+      "step": 3476
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.2191974703704425e-06,
+      "loss": 0.7555,
+      "step": 3477
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.213725745871889e-06,
+      "loss": 0.783,
+      "step": 3478
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.208255879569799e-06,
+      "loss": 0.7891,
+      "step": 3479
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.20278787358776e-06,
+      "loss": 0.8085,
+      "step": 3480
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.197321730048641e-06,
+      "loss": 0.7417,
+      "step": 3481
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1918574510745865e-06,
+      "loss": 0.8382,
+      "step": 3482
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.186395038787017e-06,
+      "loss": 0.7874,
+      "step": 3483
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.180934495306638e-06,
+      "loss": 0.8113,
+      "step": 3484
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.175475822753404e-06,
+      "loss": 0.8423,
+      "step": 3485
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.170019023246574e-06,
+      "loss": 0.8478,
+      "step": 3486
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.16456409890466e-06,
+      "loss": 0.7617,
+      "step": 3487
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.159111051845451e-06,
+      "loss": 0.7802,
+      "step": 3488
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.153659884186013e-06,
+      "loss": 0.7786,
+      "step": 3489
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.148210598042665e-06,
+      "loss": 0.799,
+      "step": 3490
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.142763195531017e-06,
+      "loss": 0.7467,
+      "step": 3491
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.137317678765939e-06,
+      "loss": 0.8633,
+      "step": 3492
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.131874049861563e-06,
+      "loss": 0.8353,
+      "step": 3493
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.126432310931295e-06,
+      "loss": 0.8028,
+      "step": 3494
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.120992464087807e-06,
+      "loss": 0.7543,
+      "step": 3495
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.115554511443033e-06,
+      "loss": 0.8084,
+      "step": 3496
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.1101184551081705e-06,
+      "loss": 0.8008,
+      "step": 3497
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.104684297193694e-06,
+      "loss": 0.8124,
+      "step": 3498
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.099252039809317e-06,
+      "loss": 0.8363,
+      "step": 3499
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.09382168506404e-06,
+      "loss": 0.8324,
+      "step": 3500
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.088393235066114e-06,
+      "loss": 0.8257,
+      "step": 3501
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.082966691923037e-06,
+      "loss": 0.7454,
+      "step": 3502
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.077542057741592e-06,
+      "loss": 0.8167,
+      "step": 3503
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.0721193346278066e-06,
+      "loss": 0.813,
+      "step": 3504
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.066698524686966e-06,
+      "loss": 0.8615,
+      "step": 3505
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.061279630023618e-06,
+      "loss": 0.796,
+      "step": 3506
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.055862652741562e-06,
+      "loss": 0.7968,
+      "step": 3507
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 5.050447594943856e-06,
+      "loss": 0.8138,
+      "step": 3508
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.045034458732808e-06,
+      "loss": 0.7743,
+      "step": 3509
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.0396232462099945e-06,
+      "loss": 0.8109,
+      "step": 3510
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.034213959476222e-06,
+      "loss": 0.7967,
+      "step": 3511
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.028806600631569e-06,
+      "loss": 0.357,
+      "step": 3512
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.023401171775357e-06,
+      "loss": 0.7974,
+      "step": 3513
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.017997675006161e-06,
+      "loss": 0.7957,
+      "step": 3514
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.012596112421806e-06,
+      "loss": 0.8715,
+      "step": 3515
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.007196486119355e-06,
+      "loss": 0.752,
+      "step": 3516
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 5.001798798195136e-06,
+      "loss": 0.8224,
+      "step": 3517
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.996403050744719e-06,
+      "loss": 0.7992,
+      "step": 3518
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.991009245862917e-06,
+      "loss": 0.778,
+      "step": 3519
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.985617385643789e-06,
+      "loss": 0.7739,
+      "step": 3520
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.980227472180643e-06,
+      "loss": 0.7408,
+      "step": 3521
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.974839507566027e-06,
+      "loss": 0.3049,
+      "step": 3522
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.969453493891733e-06,
+      "loss": 0.8901,
+      "step": 3523
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.9640694332488075e-06,
+      "loss": 0.8657,
+      "step": 3524
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.958687327727511e-06,
+      "loss": 0.7765,
+      "step": 3525
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.953307179417376e-06,
+      "loss": 0.7901,
+      "step": 3526
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.947928990407156e-06,
+      "loss": 0.7811,
+      "step": 3527
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.94255276278485e-06,
+      "loss": 0.8126,
+      "step": 3528
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.937178498637696e-06,
+      "loss": 0.7338,
+      "step": 3529
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.931806200052165e-06,
+      "loss": 0.7322,
+      "step": 3530
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.926435869113971e-06,
+      "loss": 0.7923,
+      "step": 3531
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.92106750790806e-06,
+      "loss": 0.7771,
+      "step": 3532
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.915701118518616e-06,
+      "loss": 0.7941,
+      "step": 3533
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.910336703029055e-06,
+      "loss": 0.3351,
+      "step": 3534
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.904974263522025e-06,
+      "loss": 0.796,
+      "step": 3535
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.899613802079419e-06,
+      "loss": 0.73,
+      "step": 3536
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8942553207823395e-06,
+      "loss": 0.796,
+      "step": 3537
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.888898821711144e-06,
+      "loss": 0.8198,
+      "step": 3538
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.883544306945407e-06,
+      "loss": 0.7643,
+      "step": 3539
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.878191778563934e-06,
+      "loss": 0.8056,
+      "step": 3540
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.872841238644766e-06,
+      "loss": 0.8051,
+      "step": 3541
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.867492689265154e-06,
+      "loss": 0.7198,
+      "step": 3542
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8621461325016015e-06,
+      "loss": 0.297,
+      "step": 3543
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.856801570429822e-06,
+      "loss": 0.8084,
+      "step": 3544
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.851459005124759e-06,
+      "loss": 0.8037,
+      "step": 3545
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.846118438660578e-06,
+      "loss": 0.762,
+      "step": 3546
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.840779873110675e-06,
+      "loss": 0.3561,
+      "step": 3547
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.83544331054766e-06,
+      "loss": 0.7774,
+      "step": 3548
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.83010875304337e-06,
+      "loss": 0.779,
+      "step": 3549
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.824776202668875e-06,
+      "loss": 0.8116,
+      "step": 3550
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.819445661494437e-06,
+      "loss": 0.724,
+      "step": 3551
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.8141171315895694e-06,
+      "loss": 0.839,
+      "step": 3552
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.808790615022987e-06,
+      "loss": 0.7329,
+      "step": 3553
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.803466113862626e-06,
+      "loss": 0.8399,
+      "step": 3554
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.798143630175642e-06,
+      "loss": 0.8311,
+      "step": 3555
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.792823166028405e-06,
+      "loss": 0.839,
+      "step": 3556
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.787504723486505e-06,
+      "loss": 0.791,
+      "step": 3557
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.7821883046147414e-06,
+      "loss": 0.7796,
+      "step": 3558
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.776873911477133e-06,
+      "loss": 0.7914,
+      "step": 3559
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 4.771561546136908e-06,
+      "loss": 0.8292,
+      "step": 3560
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.766251210656509e-06,
+      "loss": 0.7756,
+      "step": 3561
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.760942907097601e-06,
+      "loss": 0.7991,
+      "step": 3562
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.755636637521035e-06,
+      "loss": 0.762,
+      "step": 3563
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.750332403986902e-06,
+      "loss": 0.8271,
+      "step": 3564
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7450302085544735e-06,
+      "loss": 0.7664,
+      "step": 3565
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.739730053282255e-06,
+      "loss": 0.782,
+      "step": 3566
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.734431940227951e-06,
+      "loss": 0.8334,
+      "step": 3567
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.7291358714484594e-06,
+      "loss": 0.7788,
+      "step": 3568
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.723841848999907e-06,
+      "loss": 0.8199,
+      "step": 3569
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.718549874937612e-06,
+      "loss": 0.8464,
+      "step": 3570
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.713259951316103e-06,
+      "loss": 0.7899,
+      "step": 3571
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.707972080189106e-06,
+      "loss": 0.3219,
+      "step": 3572
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.702686263609559e-06,
+      "loss": 0.7834,
+      "step": 3573
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.697402503629596e-06,
+      "loss": 0.826,
+      "step": 3574
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.69212080230055e-06,
+      "loss": 0.7436,
+      "step": 3575
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.686841161672974e-06,
+      "loss": 0.8012,
+      "step": 3576
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.681563583796587e-06,
+      "loss": 0.7987,
+      "step": 3577
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.67628807072034e-06,
+      "loss": 0.7437,
+      "step": 3578
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.6710146244923645e-06,
+      "loss": 0.7704,
+      "step": 3579
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.665743247159995e-06,
+      "loss": 0.7815,
+      "step": 3580
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.660473940769761e-06,
+      "loss": 0.8697,
+      "step": 3581
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.655206707367388e-06,
+      "loss": 0.755,
+      "step": 3582
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.649941548997797e-06,
+      "loss": 0.785,
+      "step": 3583
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.644678467705101e-06,
+      "loss": 0.8042,
+      "step": 3584
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.639417465532622e-06,
+      "loss": 0.3289,
+      "step": 3585
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.634158544522849e-06,
+      "loss": 0.7472,
+      "step": 3586
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.628901706717476e-06,
+      "loss": 0.7944,
+      "step": 3587
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.623646954157399e-06,
+      "loss": 0.3288,
+      "step": 3588
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.618394288882681e-06,
+      "loss": 0.8152,
+      "step": 3589
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.613143712932603e-06,
+      "loss": 0.8259,
+      "step": 3590
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.607895228345603e-06,
+      "loss": 0.8498,
+      "step": 3591
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.602648837159333e-06,
+      "loss": 0.8123,
+      "step": 3592
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.597404541410622e-06,
+      "loss": 0.7739,
+      "step": 3593
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.592162343135483e-06,
+      "loss": 0.826,
+      "step": 3594
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.586922244369122e-06,
+      "loss": 0.7954,
+      "step": 3595
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5816842471459224e-06,
+      "loss": 0.7144,
+      "step": 3596
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.576448353499457e-06,
+      "loss": 0.8137,
+      "step": 3597
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.571214565462477e-06,
+      "loss": 0.8054,
+      "step": 3598
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.565982885066923e-06,
+      "loss": 0.7728,
+      "step": 3599
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.560753314343912e-06,
+      "loss": 0.7726,
+      "step": 3600
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.555525855323738e-06,
+      "loss": 0.3631,
+      "step": 3601
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5503005100358945e-06,
+      "loss": 0.86,
+      "step": 3602
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.545077280509022e-06,
+      "loss": 0.8471,
+      "step": 3603
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.539856168770974e-06,
+      "loss": 0.8099,
+      "step": 3604
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.534637176848758e-06,
+      "loss": 0.7773,
+      "step": 3605
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.52942030676857e-06,
+      "loss": 0.7901,
+      "step": 3606
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.524205560555774e-06,
+      "loss": 0.7925,
+      "step": 3607
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.5189929402349175e-06,
+      "loss": 0.7699,
+      "step": 3608
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.513782447829717e-06,
+      "loss": 0.7828,
+      "step": 3609
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.508574085363065e-06,
+      "loss": 0.8266,
+      "step": 3610
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.503367854857035e-06,
+      "loss": 0.8262,
+      "step": 3611
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 4.498163758332853e-06,
+      "loss": 0.8152,
+      "step": 3612
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.492961797810932e-06,
+      "loss": 0.7934,
+      "step": 3613
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4877619753108605e-06,
+      "loss": 0.8018,
+      "step": 3614
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4825642928513746e-06,
+      "loss": 0.8396,
+      "step": 3615
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.477368752450409e-06,
+      "loss": 0.7977,
+      "step": 3616
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.472175356125036e-06,
+      "loss": 0.8147,
+      "step": 3617
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.466984105891521e-06,
+      "loss": 0.7634,
+      "step": 3618
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.461795003765285e-06,
+      "loss": 0.3518,
+      "step": 3619
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.456608051760914e-06,
+      "loss": 0.8236,
+      "step": 3620
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.45142325189216e-06,
+      "loss": 0.8417,
+      "step": 3621
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.446240606171945e-06,
+      "loss": 0.7888,
+      "step": 3622
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4410601166123475e-06,
+      "loss": 0.8121,
+      "step": 3623
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4358817852246124e-06,
+      "loss": 0.8594,
+      "step": 3624
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.430705614019147e-06,
+      "loss": 0.7557,
+      "step": 3625
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.425531605005519e-06,
+      "loss": 0.7443,
+      "step": 3626
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.420359760192452e-06,
+      "loss": 0.3141,
+      "step": 3627
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.4151900815878455e-06,
+      "loss": 0.8265,
+      "step": 3628
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.410022571198734e-06,
+      "loss": 0.6996,
+      "step": 3629
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.404857231031332e-06,
+      "loss": 0.7801,
+      "step": 3630
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.399694063090999e-06,
+      "loss": 0.8366,
+      "step": 3631
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.394533069382255e-06,
+      "loss": 0.7846,
+      "step": 3632
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3893742519087754e-06,
+      "loss": 0.3615,
+      "step": 3633
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3842176126733914e-06,
+      "loss": 0.8531,
+      "step": 3634
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.379063153678087e-06,
+      "loss": 0.822,
+      "step": 3635
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.373910876923997e-06,
+      "loss": 0.7609,
+      "step": 3636
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.368760784411423e-06,
+      "loss": 0.8484,
+      "step": 3637
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.363612878139799e-06,
+      "loss": 0.8092,
+      "step": 3638
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3584671601077224e-06,
+      "loss": 0.7757,
+      "step": 3639
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.353323632312938e-06,
+      "loss": 0.7351,
+      "step": 3640
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.348182296752336e-06,
+      "loss": 0.7653,
+      "step": 3641
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.343043155421971e-06,
+      "loss": 0.7867,
+      "step": 3642
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3379062103170214e-06,
+      "loss": 0.8183,
+      "step": 3643
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.332771463431837e-06,
+      "loss": 0.8022,
+      "step": 3644
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.327638916759898e-06,
+      "loss": 0.7814,
+      "step": 3645
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.322508572293836e-06,
+      "loss": 0.8239,
+      "step": 3646
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.317380432025428e-06,
+      "loss": 0.7984,
+      "step": 3647
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.312254497945595e-06,
+      "loss": 0.7996,
+      "step": 3648
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3071307720444015e-06,
+      "loss": 0.764,
+      "step": 3649
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.3020092563110485e-06,
+      "loss": 0.8628,
+      "step": 3650
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.2968899527338984e-06,
+      "loss": 0.7471,
+      "step": 3651
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.291772863300428e-06,
+      "loss": 0.7768,
+      "step": 3652
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.2866579899972686e-06,
+      "loss": 0.7792,
+      "step": 3653
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.281545334810201e-06,
+      "loss": 0.3408,
+      "step": 3654
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.276434899724119e-06,
+      "loss": 0.8262,
+      "step": 3655
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.27132668672308e-06,
+      "loss": 0.7785,
+      "step": 3656
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.266220697790266e-06,
+      "loss": 0.7886,
+      "step": 3657
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.2611169349079985e-06,
+      "loss": 0.8064,
+      "step": 3658
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.25601540005773e-06,
+      "loss": 0.7731,
+      "step": 3659
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.250916095220056e-06,
+      "loss": 0.3478,
+      "step": 3660
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.2458190223747e-06,
+      "loss": 0.789,
+      "step": 3661
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.240724183500518e-06,
+      "loss": 0.7881,
+      "step": 3662
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.2356315805755135e-06,
+      "loss": 0.7932,
+      "step": 3663
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 4.230541215576798e-06,
+      "loss": 0.7716,
+      "step": 3664
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.225453090480631e-06,
+      "loss": 0.7706,
+      "step": 3665
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.220367207262398e-06,
+      "loss": 0.7434,
+      "step": 3666
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.21528356789661e-06,
+      "loss": 0.8495,
+      "step": 3667
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.210202174356922e-06,
+      "loss": 0.8108,
+      "step": 3668
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.20512302861609e-06,
+      "loss": 0.7742,
+      "step": 3669
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.2000461326460274e-06,
+      "loss": 0.7765,
+      "step": 3670
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.194971488417753e-06,
+      "loss": 0.7567,
+      "step": 3671
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.189899097901421e-06,
+      "loss": 0.6817,
+      "step": 3672
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.184828963066305e-06,
+      "loss": 0.7632,
+      "step": 3673
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.179761085880809e-06,
+      "loss": 0.3422,
+      "step": 3674
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.174695468312456e-06,
+      "loss": 0.7869,
+      "step": 3675
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.16963211232789e-06,
+      "loss": 0.7646,
+      "step": 3676
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.16457101989289e-06,
+      "loss": 0.743,
+      "step": 3677
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.159512192972337e-06,
+      "loss": 0.8355,
+      "step": 3678
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.15445563353024e-06,
+      "loss": 0.8038,
+      "step": 3679
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.149401343529742e-06,
+      "loss": 0.7342,
+      "step": 3680
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.144349324933077e-06,
+      "loss": 0.7437,
+      "step": 3681
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.139299579701623e-06,
+      "loss": 0.7504,
+      "step": 3682
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.134252109795863e-06,
+      "loss": 0.8494,
+      "step": 3683
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.129206917175397e-06,
+      "loss": 0.7996,
+      "step": 3684
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.124164003798944e-06,
+      "loss": 0.7508,
+      "step": 3685
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.119123371624335e-06,
+      "loss": 0.7755,
+      "step": 3686
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.114085022608517e-06,
+      "loss": 0.8151,
+      "step": 3687
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.109048958707552e-06,
+      "loss": 0.7258,
+      "step": 3688
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.104015181876613e-06,
+      "loss": 0.7549,
+      "step": 3689
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.09898369406998e-06,
+      "loss": 0.8096,
+      "step": 3690
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0939544972410636e-06,
+      "loss": 0.797,
+      "step": 3691
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0889275933423576e-06,
+      "loss": 0.832,
+      "step": 3692
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0839029843254815e-06,
+      "loss": 0.8292,
+      "step": 3693
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.078880672141171e-06,
+      "loss": 0.7222,
+      "step": 3694
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.073860658739246e-06,
+      "loss": 0.8099,
+      "step": 3695
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.068842946068661e-06,
+      "loss": 0.8411,
+      "step": 3696
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.063827536077459e-06,
+      "loss": 0.7325,
+      "step": 3697
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.058814430712796e-06,
+      "loss": 0.8334,
+      "step": 3698
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0538036319209325e-06,
+      "loss": 0.782,
+      "step": 3699
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0487951416472324e-06,
+      "loss": 0.7696,
+      "step": 3700
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.043788961836164e-06,
+      "loss": 0.7984,
+      "step": 3701
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.038785094431295e-06,
+      "loss": 0.8236,
+      "step": 3702
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0337835413753116e-06,
+      "loss": 0.8118,
+      "step": 3703
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0287843046099765e-06,
+      "loss": 0.8312,
+      "step": 3704
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.0237873860761645e-06,
+      "loss": 0.7828,
+      "step": 3705
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.018792787713865e-06,
+      "loss": 0.7972,
+      "step": 3706
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.013800511462135e-06,
+      "loss": 0.7897,
+      "step": 3707
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.008810559259162e-06,
+      "loss": 0.775,
+      "step": 3708
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 4.003822933042213e-06,
+      "loss": 0.7726,
+      "step": 3709
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.998837634747655e-06,
+      "loss": 0.7837,
+      "step": 3710
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.993854666310955e-06,
+      "loss": 0.8492,
+      "step": 3711
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.98887402966667e-06,
+      "loss": 0.8049,
+      "step": 3712
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.983895726748455e-06,
+      "loss": 0.784,
+      "step": 3713
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.97891975948906e-06,
+      "loss": 0.838,
+      "step": 3714
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.973946129820326e-06,
+      "loss": 0.8275,
+      "step": 3715
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 3.968974839673186e-06,
+      "loss": 0.8624,
+      "step": 3716
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.964005890977672e-06,
+      "loss": 0.7893,
+      "step": 3717
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.9590392856628946e-06,
+      "loss": 0.7879,
+      "step": 3718
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.954075025657058e-06,
+      "loss": 0.8594,
+      "step": 3719
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.949113112887471e-06,
+      "loss": 0.7898,
+      "step": 3720
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.944153549280506e-06,
+      "loss": 0.8051,
+      "step": 3721
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.939196336761645e-06,
+      "loss": 0.8393,
+      "step": 3722
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.934241477255445e-06,
+      "loss": 0.8446,
+      "step": 3723
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.929288972685555e-06,
+      "loss": 0.8287,
+      "step": 3724
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.924338824974705e-06,
+      "loss": 0.8254,
+      "step": 3725
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.919391036044715e-06,
+      "loss": 0.7505,
+      "step": 3726
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.914445607816486e-06,
+      "loss": 0.777,
+      "step": 3727
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.909502542210001e-06,
+      "loss": 0.7858,
+      "step": 3728
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.904561841144338e-06,
+      "loss": 0.7694,
+      "step": 3729
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.899623506537635e-06,
+      "loss": 0.753,
+      "step": 3730
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.894687540307127e-06,
+      "loss": 0.3503,
+      "step": 3731
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8897539443691355e-06,
+      "loss": 0.8241,
+      "step": 3732
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.884822720639036e-06,
+      "loss": 0.7995,
+      "step": 3733
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.879893871031314e-06,
+      "loss": 0.8365,
+      "step": 3734
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.874967397459511e-06,
+      "loss": 0.8256,
+      "step": 3735
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.870043301836256e-06,
+      "loss": 0.7817,
+      "step": 3736
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.86512158607325e-06,
+      "loss": 0.7364,
+      "step": 3737
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.860202252081276e-06,
+      "loss": 0.7871,
+      "step": 3738
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.855285301770188e-06,
+      "loss": 0.7718,
+      "step": 3739
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.850370737048913e-06,
+      "loss": 0.8754,
+      "step": 3740
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8454585598254565e-06,
+      "loss": 0.7756,
+      "step": 3741
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.840548772006891e-06,
+      "loss": 0.822,
+      "step": 3742
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.835641375499375e-06,
+      "loss": 0.835,
+      "step": 3743
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.830736372208118e-06,
+      "loss": 0.8104,
+      "step": 3744
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8258337640374125e-06,
+      "loss": 0.757,
+      "step": 3745
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.820933552890629e-06,
+      "loss": 0.3556,
+      "step": 3746
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.816035740670185e-06,
+      "loss": 0.8063,
+      "step": 3747
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.811140329277591e-06,
+      "loss": 0.8064,
+      "step": 3748
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8062473206134088e-06,
+      "loss": 0.7934,
+      "step": 3749
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.8013567165772735e-06,
+      "loss": 0.8138,
+      "step": 3750
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7964685190678874e-06,
+      "loss": 0.792,
+      "step": 3751
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7915827299830154e-06,
+      "loss": 0.8074,
+      "step": 3752
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7866993512194895e-06,
+      "loss": 0.8147,
+      "step": 3753
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7818183846732024e-06,
+      "loss": 0.7511,
+      "step": 3754
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.776939832239125e-06,
+      "loss": 0.8356,
+      "step": 3755
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7720636958112623e-06,
+      "loss": 0.8542,
+      "step": 3756
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7671899772827113e-06,
+      "loss": 0.8015,
+      "step": 3757
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7623186785456156e-06,
+      "loss": 0.8328,
+      "step": 3758
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.757449801491172e-06,
+      "loss": 0.7994,
+      "step": 3759
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7525833480096575e-06,
+      "loss": 0.3291,
+      "step": 3760
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7477193199903903e-06,
+      "loss": 0.8033,
+      "step": 3761
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7428577193217563e-06,
+      "loss": 0.7996,
+      "step": 3762
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.737998547891195e-06,
+      "loss": 0.7915,
+      "step": 3763
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7331418075852053e-06,
+      "loss": 0.8091,
+      "step": 3764
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.728287500289339e-06,
+      "loss": 0.8097,
+      "step": 3765
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7234356278882076e-06,
+      "loss": 0.8121,
+      "step": 3766
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.718586192265473e-06,
+      "loss": 0.849,
+      "step": 3767
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 3.7137391953038516e-06,
+      "loss": 0.8279,
+      "step": 3768
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.7088946388851223e-06,
+      "loss": 0.3294,
+      "step": 3769
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.7040525248901003e-06,
+      "loss": 0.8028,
+      "step": 3770
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6992128551986617e-06,
+      "loss": 0.785,
+      "step": 3771
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6943756316897406e-06,
+      "loss": 0.7693,
+      "step": 3772
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6895408562413027e-06,
+      "loss": 0.7765,
+      "step": 3773
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.684708530730382e-06,
+      "loss": 0.8049,
+      "step": 3774
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6798786570330526e-06,
+      "loss": 0.741,
+      "step": 3775
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6750512370244363e-06,
+      "loss": 0.7777,
+      "step": 3776
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.670226272578704e-06,
+      "loss": 0.8368,
+      "step": 3777
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6654037655690732e-06,
+      "loss": 0.8477,
+      "step": 3778
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.660583717867807e-06,
+      "loss": 0.7981,
+      "step": 3779
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.655766131346211e-06,
+      "loss": 0.822,
+      "step": 3780
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.650951007874648e-06,
+      "loss": 0.7706,
+      "step": 3781
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6461383493225012e-06,
+      "loss": 0.8431,
+      "step": 3782
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6413281575582194e-06,
+      "loss": 0.7613,
+      "step": 3783
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6365204344492867e-06,
+      "loss": 0.8195,
+      "step": 3784
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6317151818622154e-06,
+      "loss": 0.7968,
+      "step": 3785
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.62691240166258e-06,
+      "loss": 0.7772,
+      "step": 3786
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6221120957149826e-06,
+      "loss": 0.8565,
+      "step": 3787
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.617314265883066e-06,
+      "loss": 0.7942,
+      "step": 3788
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.612518914029515e-06,
+      "loss": 0.8389,
+      "step": 3789
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.6077260420160487e-06,
+      "loss": 0.8635,
+      "step": 3790
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.602935651703424e-06,
+      "loss": 0.7622,
+      "step": 3791
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.598147744951438e-06,
+      "loss": 0.7891,
+      "step": 3792
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5933623236189198e-06,
+      "loss": 0.7473,
+      "step": 3793
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.58857938956373e-06,
+      "loss": 0.8385,
+      "step": 3794
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.58379894464278e-06,
+      "loss": 0.8333,
+      "step": 3795
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.57902099071199e-06,
+      "loss": 0.7863,
+      "step": 3796
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5742455296263346e-06,
+      "loss": 0.7967,
+      "step": 3797
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.569472563239814e-06,
+      "loss": 0.7794,
+      "step": 3798
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5647020934054465e-06,
+      "loss": 0.8095,
+      "step": 3799
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.559934121975304e-06,
+      "loss": 0.8232,
+      "step": 3800
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5551686508004735e-06,
+      "loss": 0.8208,
+      "step": 3801
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.550405681731074e-06,
+      "loss": 0.8768,
+      "step": 3802
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5456452166162547e-06,
+      "loss": 0.8006,
+      "step": 3803
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.540887257304193e-06,
+      "loss": 0.8285,
+      "step": 3804
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5361318056420925e-06,
+      "loss": 0.7703,
+      "step": 3805
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.531378863476178e-06,
+      "loss": 0.7376,
+      "step": 3806
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5266284326517165e-06,
+      "loss": 0.7767,
+      "step": 3807
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5218805150129755e-06,
+      "loss": 0.8023,
+      "step": 3808
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5171351124032703e-06,
+      "loss": 0.3561,
+      "step": 3809
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.51239222666493e-06,
+      "loss": 0.7828,
+      "step": 3810
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.507651859639295e-06,
+      "loss": 0.808,
+      "step": 3811
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.5029140131667493e-06,
+      "loss": 0.796,
+      "step": 3812
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4981786890866853e-06,
+      "loss": 0.8056,
+      "step": 3813
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.493445889237518e-06,
+      "loss": 0.3241,
+      "step": 3814
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4887156154566847e-06,
+      "loss": 0.7418,
+      "step": 3815
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4839878695806385e-06,
+      "loss": 0.7871,
+      "step": 3816
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4792626534448547e-06,
+      "loss": 0.7765,
+      "step": 3817
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4745399688838243e-06,
+      "loss": 0.7888,
+      "step": 3818
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.469819817731056e-06,
+      "loss": 0.8259,
+      "step": 3819
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 3.4651022018190715e-06,
+      "loss": 0.3532,
+      "step": 3820
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.460387122979423e-06,
+      "loss": 0.7555,
+      "step": 3821
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.455674583042652e-06,
+      "loss": 0.3432,
+      "step": 3822
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4509645838383386e-06,
+      "loss": 0.739,
+      "step": 3823
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.446257127195066e-06,
+      "loss": 0.7319,
+      "step": 3824
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4415522149404233e-06,
+      "loss": 0.7457,
+      "step": 3825
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.436849848901028e-06,
+      "loss": 0.8465,
+      "step": 3826
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.432150030902497e-06,
+      "loss": 0.7989,
+      "step": 3827
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.427452762769462e-06,
+      "loss": 0.8403,
+      "step": 3828
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4227580463255628e-06,
+      "loss": 0.7756,
+      "step": 3829
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4180658833934523e-06,
+      "loss": 0.7609,
+      "step": 3830
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4133762757947873e-06,
+      "loss": 0.8198,
+      "step": 3831
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4086892253502344e-06,
+      "loss": 0.8097,
+      "step": 3832
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.4040047338794756e-06,
+      "loss": 0.8473,
+      "step": 3833
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3993228032011784e-06,
+      "loss": 0.8041,
+      "step": 3834
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3946434351330415e-06,
+      "loss": 0.8031,
+      "step": 3835
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3899666314917512e-06,
+      "loss": 0.8469,
+      "step": 3836
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.385292394093006e-06,
+      "loss": 0.8087,
+      "step": 3837
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3806207247515068e-06,
+      "loss": 0.7709,
+      "step": 3838
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.375951625280948e-06,
+      "loss": 0.7969,
+      "step": 3839
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3712850974940437e-06,
+      "loss": 0.7536,
+      "step": 3840
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3666211432024974e-06,
+      "loss": 0.7582,
+      "step": 3841
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.361959764217018e-06,
+      "loss": 0.777,
+      "step": 3842
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.357300962347313e-06,
+      "loss": 0.7229,
+      "step": 3843
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3526447394020887e-06,
+      "loss": 0.7834,
+      "step": 3844
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3479910971890516e-06,
+      "loss": 0.8638,
+      "step": 3845
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.343340037514903e-06,
+      "loss": 0.7768,
+      "step": 3846
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3386915621853533e-06,
+      "loss": 0.7669,
+      "step": 3847
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3340456730050887e-06,
+      "loss": 0.807,
+      "step": 3848
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3294023717778122e-06,
+      "loss": 0.8153,
+      "step": 3849
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.324761660306215e-06,
+      "loss": 0.7936,
+      "step": 3850
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3201235403919683e-06,
+      "loss": 0.7604,
+      "step": 3851
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3154880138357626e-06,
+      "loss": 0.8328,
+      "step": 3852
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.3108550824372632e-06,
+      "loss": 0.8227,
+      "step": 3853
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.306224747995136e-06,
+      "loss": 0.8302,
+      "step": 3854
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.301597012307034e-06,
+      "loss": 0.7537,
+      "step": 3855
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2969718771696047e-06,
+      "loss": 0.8214,
+      "step": 3856
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.292349344378486e-06,
+      "loss": 0.8205,
+      "step": 3857
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.287729415728298e-06,
+      "loss": 0.7702,
+      "step": 3858
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.283112093012669e-06,
+      "loss": 0.815,
+      "step": 3859
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.278497378024187e-06,
+      "loss": 0.7944,
+      "step": 3860
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2738852725544547e-06,
+      "loss": 0.7958,
+      "step": 3861
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2692757783940467e-06,
+      "loss": 0.7812,
+      "step": 3862
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.264668897332527e-06,
+      "loss": 0.7634,
+      "step": 3863
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2600646311584494e-06,
+      "loss": 0.779,
+      "step": 3864
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2554629816593375e-06,
+      "loss": 0.7948,
+      "step": 3865
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.250863950621721e-06,
+      "loss": 0.776,
+      "step": 3866
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2462675398310984e-06,
+      "loss": 0.785,
+      "step": 3867
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.241673751071954e-06,
+      "loss": 0.7692,
+      "step": 3868
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2370825861277567e-06,
+      "loss": 0.842,
+      "step": 3869
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2324940467809527e-06,
+      "loss": 0.7876,
+      "step": 3870
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.2279081348129713e-06,
+      "loss": 0.7335,
+      "step": 3871
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 3.223324852004219e-06,
+      "loss": 0.8179,
+      "step": 3872
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2187442001340942e-06,
+      "loss": 0.7731,
+      "step": 3873
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.21416618098095e-06,
+      "loss": 0.8013,
+      "step": 3874
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2095907963221396e-06,
+      "loss": 0.333,
+      "step": 3875
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2050180479339865e-06,
+      "loss": 0.7665,
+      "step": 3876
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.2004479375917783e-06,
+      "loss": 0.7848,
+      "step": 3877
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1958804670698008e-06,
+      "loss": 0.3425,
+      "step": 3878
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.191315638141297e-06,
+      "loss": 0.7895,
+      "step": 3879
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1867534525784937e-06,
+      "loss": 0.3366,
+      "step": 3880
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.182193912152586e-06,
+      "loss": 0.8049,
+      "step": 3881
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.177637018633746e-06,
+      "loss": 0.8619,
+      "step": 3882
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1730827737911163e-06,
+      "loss": 0.8071,
+      "step": 3883
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1685311793928077e-06,
+      "loss": 0.7631,
+      "step": 3884
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.163982237205917e-06,
+      "loss": 0.8022,
+      "step": 3885
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1594359489964853e-06,
+      "loss": 0.7854,
+      "step": 3886
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.15489231652955e-06,
+      "loss": 0.794,
+      "step": 3887
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.150351341569101e-06,
+      "loss": 0.3401,
+      "step": 3888
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1458130258781006e-06,
+      "loss": 0.836,
+      "step": 3889
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.141277371218484e-06,
+      "loss": 0.8165,
+      "step": 3890
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.136744379351139e-06,
+      "loss": 0.354,
+      "step": 3891
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1322140520359366e-06,
+      "loss": 0.7553,
+      "step": 3892
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1276863910317057e-06,
+      "loss": 0.8247,
+      "step": 3893
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1231613980962373e-06,
+      "loss": 0.8156,
+      "step": 3894
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1186390749862904e-06,
+      "loss": 0.8154,
+      "step": 3895
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1141194234575878e-06,
+      "loss": 0.7523,
+      "step": 3896
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1096024452648123e-06,
+      "loss": 0.8494,
+      "step": 3897
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.1050881421616076e-06,
+      "loss": 0.7992,
+      "step": 3898
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.100576515900591e-06,
+      "loss": 0.7951,
+      "step": 3899
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0960675682333186e-06,
+      "loss": 0.7816,
+      "step": 3900
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0915613009103296e-06,
+      "loss": 0.8038,
+      "step": 3901
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0870577156811077e-06,
+      "loss": 0.7657,
+      "step": 3902
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0825568142940998e-06,
+      "loss": 0.7446,
+      "step": 3903
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0780585984967113e-06,
+      "loss": 0.7804,
+      "step": 3904
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.073563070035305e-06,
+      "loss": 0.7619,
+      "step": 3905
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.069070230655198e-06,
+      "loss": 0.7732,
+      "step": 3906
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0645800821006667e-06,
+      "loss": 0.733,
+      "step": 3907
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.060092626114941e-06,
+      "loss": 0.79,
+      "step": 3908
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0556078644402066e-06,
+      "loss": 0.7831,
+      "step": 3909
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.051125798817598e-06,
+      "loss": 0.834,
+      "step": 3910
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0466464309872167e-06,
+      "loss": 0.7955,
+      "step": 3911
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.042169762688096e-06,
+      "loss": 0.7759,
+      "step": 3912
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0376957956582452e-06,
+      "loss": 0.3457,
+      "step": 3913
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0332245316346e-06,
+      "loss": 0.7502,
+      "step": 3914
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0287559723530667e-06,
+      "loss": 0.8569,
+      "step": 3915
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.024290119548495e-06,
+      "loss": 0.7667,
+      "step": 3916
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.019826974954674e-06,
+      "loss": 0.7602,
+      "step": 3917
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0153665403043586e-06,
+      "loss": 0.7745,
+      "step": 3918
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.01090881732924e-06,
+      "loss": 0.7874,
+      "step": 3919
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.0064538077599603e-06,
+      "loss": 0.8192,
+      "step": 3920
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 3.002001513326107e-06,
+      "loss": 0.8107,
+      "step": 3921
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9975519357562155e-06,
+      "loss": 0.8538,
+      "step": 3922
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9931050767777626e-06,
+      "loss": 0.8178,
+      "step": 3923
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.9886609381171703e-06,
+      "loss": 0.7978,
+      "step": 3924
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.984219521499816e-06,
+      "loss": 0.7958,
+      "step": 3925
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9797808286499976e-06,
+      "loss": 0.8459,
+      "step": 3926
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9753448612909775e-06,
+      "loss": 0.7434,
+      "step": 3927
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9709116211449484e-06,
+      "loss": 0.7523,
+      "step": 3928
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.966481109933047e-06,
+      "loss": 0.7743,
+      "step": 3929
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9620533293753495e-06,
+      "loss": 0.827,
+      "step": 3930
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.957628281190873e-06,
+      "loss": 0.7799,
+      "step": 3931
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9532059670975732e-06,
+      "loss": 0.797,
+      "step": 3932
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.948786388812346e-06,
+      "loss": 0.7682,
+      "step": 3933
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9443695480510225e-06,
+      "loss": 0.7968,
+      "step": 3934
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9399554465283742e-06,
+      "loss": 0.7373,
+      "step": 3935
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.935544085958102e-06,
+      "loss": 0.7579,
+      "step": 3936
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.931135468052858e-06,
+      "loss": 0.3597,
+      "step": 3937
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.926729594524207e-06,
+      "loss": 0.796,
+      "step": 3938
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9223264670826746e-06,
+      "loss": 0.8473,
+      "step": 3939
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9179260874376915e-06,
+      "loss": 0.8271,
+      "step": 3940
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9135284572976486e-06,
+      "loss": 0.7579,
+      "step": 3941
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9091335783698517e-06,
+      "loss": 0.3266,
+      "step": 3942
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9047414523605467e-06,
+      "loss": 0.8148,
+      "step": 3943
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.9003520809749053e-06,
+      "loss": 0.8228,
+      "step": 3944
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8959654659170354e-06,
+      "loss": 0.8028,
+      "step": 3945
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8915816088899696e-06,
+      "loss": 0.7591,
+      "step": 3946
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8872005115956746e-06,
+      "loss": 0.797,
+      "step": 3947
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8828221757350406e-06,
+      "loss": 0.8245,
+      "step": 3948
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8784466030078905e-06,
+      "loss": 0.7784,
+      "step": 3949
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.874073795112967e-06,
+      "loss": 0.8135,
+      "step": 3950
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8697037537479565e-06,
+      "loss": 0.8115,
+      "step": 3951
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8653364806094454e-06,
+      "loss": 0.3492,
+      "step": 3952
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.86097197739297e-06,
+      "loss": 0.7942,
+      "step": 3953
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.856610245792976e-06,
+      "loss": 0.7499,
+      "step": 3954
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8522512875028396e-06,
+      "loss": 0.8425,
+      "step": 3955
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.847895104214856e-06,
+      "loss": 0.8205,
+      "step": 3956
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.843541697620249e-06,
+      "loss": 0.7956,
+      "step": 3957
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8391910694091584e-06,
+      "loss": 0.8259,
+      "step": 3958
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8348432212706443e-06,
+      "loss": 0.7949,
+      "step": 3959
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8304981548927025e-06,
+      "loss": 0.2672,
+      "step": 3960
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.826155871962227e-06,
+      "loss": 0.823,
+      "step": 3961
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8218163741650415e-06,
+      "loss": 0.8403,
+      "step": 3962
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.817479663185898e-06,
+      "loss": 0.8089,
+      "step": 3963
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.813145740708445e-06,
+      "loss": 0.759,
+      "step": 3964
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.808814608415271e-06,
+      "loss": 0.8288,
+      "step": 3965
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.8044862679878605e-06,
+      "loss": 0.7417,
+      "step": 3966
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.800160721106633e-06,
+      "loss": 0.8048,
+      "step": 3967
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7958379694509108e-06,
+      "loss": 0.7751,
+      "step": 3968
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.791518014698935e-06,
+      "loss": 0.7485,
+      "step": 3969
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.787200858527862e-06,
+      "loss": 0.838,
+      "step": 3970
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7828865026137584e-06,
+      "loss": 0.8107,
+      "step": 3971
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7785749486316085e-06,
+      "loss": 0.7909,
+      "step": 3972
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.774266198255303e-06,
+      "loss": 0.7849,
+      "step": 3973
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7699602531576496e-06,
+      "loss": 0.8123,
+      "step": 3974
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.765657115010364e-06,
+      "loss": 0.8484,
+      "step": 3975
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 2.7613567854840685e-06,
+      "loss": 0.8195,
+      "step": 3976
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7570592662483086e-06,
+      "loss": 0.7997,
+      "step": 3977
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.752764558971517e-06,
+      "loss": 0.765,
+      "step": 3978
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.748472665321056e-06,
+      "loss": 0.8177,
+      "step": 3979
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.744183586963185e-06,
+      "loss": 0.8375,
+      "step": 3980
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.739897325563069e-06,
+      "loss": 0.8209,
+      "step": 3981
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7356138827847856e-06,
+      "loss": 0.7411,
+      "step": 3982
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.731333260291311e-06,
+      "loss": 0.7776,
+      "step": 3983
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7270554597445343e-06,
+      "loss": 0.3486,
+      "step": 3984
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7227804828052384e-06,
+      "loss": 0.8244,
+      "step": 3985
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7185083311331283e-06,
+      "loss": 0.7972,
+      "step": 3986
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7142390063867896e-06,
+      "loss": 0.763,
+      "step": 3987
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.709972510223725e-06,
+      "loss": 0.7404,
+      "step": 3988
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7057088443003343e-06,
+      "loss": 0.7546,
+      "step": 3989
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.7014480102719174e-06,
+      "loss": 0.8485,
+      "step": 3990
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.697190009792685e-06,
+      "loss": 0.7441,
+      "step": 3991
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.692934844515729e-06,
+      "loss": 0.835,
+      "step": 3992
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6886825160930587e-06,
+      "loss": 0.7865,
+      "step": 3993
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6844330261755715e-06,
+      "loss": 0.7663,
+      "step": 3994
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6801863764130653e-06,
+      "loss": 0.7696,
+      "step": 3995
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.675942568454236e-06,
+      "loss": 0.7947,
+      "step": 3996
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.671701603946678e-06,
+      "loss": 0.7961,
+      "step": 3997
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.667463484536876e-06,
+      "loss": 0.8091,
+      "step": 3998
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6632282118702147e-06,
+      "loss": 0.7347,
+      "step": 3999
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.65899578759098e-06,
+      "loss": 0.7681,
+      "step": 4000
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.654766213342335e-06,
+      "loss": 0.7457,
+      "step": 4001
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.650539490766346e-06,
+      "loss": 0.7462,
+      "step": 4002
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.646315621503983e-06,
+      "loss": 0.7591,
+      "step": 4003
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.642094607195085e-06,
+      "loss": 0.7953,
+      "step": 4004
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6378764494784027e-06,
+      "loss": 0.8008,
+      "step": 4005
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.633661149991569e-06,
+      "loss": 0.8012,
+      "step": 4006
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6294487103711064e-06,
+      "loss": 0.8099,
+      "step": 4007
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6252391322524297e-06,
+      "loss": 0.8293,
+      "step": 4008
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6210324172698432e-06,
+      "loss": 0.7754,
+      "step": 4009
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6168285670565374e-06,
+      "loss": 0.8229,
+      "step": 4010
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6126275832445892e-06,
+      "loss": 0.7134,
+      "step": 4011
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6084294674649734e-06,
+      "loss": 0.8399,
+      "step": 4012
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6042342213475346e-06,
+      "loss": 0.789,
+      "step": 4013
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.6000418465210143e-06,
+      "loss": 0.8098,
+      "step": 4014
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.595852344613038e-06,
+      "loss": 0.8093,
+      "step": 4015
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5916657172501103e-06,
+      "loss": 0.7576,
+      "step": 4016
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.587481966057633e-06,
+      "loss": 0.75,
+      "step": 4017
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.583301092659872e-06,
+      "loss": 0.7807,
+      "step": 4018
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5791230986799944e-06,
+      "loss": 0.8224,
+      "step": 4019
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5749479857400383e-06,
+      "loss": 0.8215,
+      "step": 4020
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5707757554609247e-06,
+      "loss": 0.833,
+      "step": 4021
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.56660640946246e-06,
+      "loss": 0.8002,
+      "step": 4022
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5624399493633257e-06,
+      "loss": 0.8506,
+      "step": 4023
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.558276376781086e-06,
+      "loss": 0.7629,
+      "step": 4024
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.55411569333218e-06,
+      "loss": 0.8042,
+      "step": 4025
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5499579006319365e-06,
+      "loss": 0.8388,
+      "step": 4026
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5458030002945457e-06,
+      "loss": 0.8051,
+      "step": 4027
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 2.5416509939330836e-06,
+      "loss": 0.347,
+      "step": 4028
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.537501883159509e-06,
+      "loss": 0.7981,
+      "step": 4029
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5333556695846384e-06,
+      "loss": 0.7837,
+      "step": 4030
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5292123548181847e-06,
+      "loss": 0.769,
+      "step": 4031
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.525071940468722e-06,
+      "loss": 0.7947,
+      "step": 4032
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.520934428143701e-06,
+      "loss": 0.353,
+      "step": 4033
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5167998194494468e-06,
+      "loss": 0.758,
+      "step": 4034
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5126681159911558e-06,
+      "loss": 0.7876,
+      "step": 4035
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5085393193729e-06,
+      "loss": 0.8438,
+      "step": 4036
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5044134311976156e-06,
+      "loss": 0.7639,
+      "step": 4037
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.5002904530671236e-06,
+      "loss": 0.8265,
+      "step": 4038
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4961703865820974e-06,
+      "loss": 0.8023,
+      "step": 4039
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.492053233342091e-06,
+      "loss": 0.7831,
+      "step": 4040
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.487938994945527e-06,
+      "loss": 0.7643,
+      "step": 4041
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4838276729896884e-06,
+      "loss": 0.352,
+      "step": 4042
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.479719269070743e-06,
+      "loss": 0.7749,
+      "step": 4043
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4756137847837025e-06,
+      "loss": 0.7693,
+      "step": 4044
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4715112217224657e-06,
+      "loss": 0.8469,
+      "step": 4045
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.467411581479786e-06,
+      "loss": 0.7671,
+      "step": 4046
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.463314865647286e-06,
+      "loss": 0.7939,
+      "step": 4047
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.45922107581545e-06,
+      "loss": 0.8024,
+      "step": 4048
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4551302135736287e-06,
+      "loss": 0.7783,
+      "step": 4049
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4510422805100366e-06,
+      "loss": 0.7913,
+      "step": 4050
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.446957278211746e-06,
+      "loss": 0.7653,
+      "step": 4051
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4428752082647044e-06,
+      "loss": 0.7355,
+      "step": 4052
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.438796072253704e-06,
+      "loss": 0.7692,
+      "step": 4053
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4347198717624054e-06,
+      "loss": 0.8056,
+      "step": 4054
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4306466083733392e-06,
+      "loss": 0.7612,
+      "step": 4055
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.426576283667873e-06,
+      "loss": 0.8043,
+      "step": 4056
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.422508899226258e-06,
+      "loss": 0.8275,
+      "step": 4057
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.418444456627589e-06,
+      "loss": 0.7835,
+      "step": 4058
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4143829574498224e-06,
+      "loss": 0.3289,
+      "step": 4059
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4103244032697717e-06,
+      "loss": 0.7761,
+      "step": 4060
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.406268795663108e-06,
+      "loss": 0.8293,
+      "step": 4061
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.4022161362043574e-06,
+      "loss": 0.8206,
+      "step": 4062
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3981664264669025e-06,
+      "loss": 0.7482,
+      "step": 4063
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3941196680229794e-06,
+      "loss": 0.7988,
+      "step": 4064
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3900758624436772e-06,
+      "loss": 0.7831,
+      "step": 4065
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3860350112989473e-06,
+      "loss": 0.7937,
+      "step": 4066
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3819971161575807e-06,
+      "loss": 0.8132,
+      "step": 4067
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3779621785872252e-06,
+      "loss": 0.7522,
+      "step": 4068
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3739302001543918e-06,
+      "loss": 0.8711,
+      "step": 4069
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3699011824244234e-06,
+      "loss": 0.7675,
+      "step": 4070
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.365875126961531e-06,
+      "loss": 0.8223,
+      "step": 4071
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3618520353287644e-06,
+      "loss": 0.8321,
+      "step": 4072
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3578319090880263e-06,
+      "loss": 0.8235,
+      "step": 4073
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3538147498000695e-06,
+      "loss": 0.7968,
+      "step": 4074
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.349800559024492e-06,
+      "loss": 0.8407,
+      "step": 4075
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3457893383197415e-06,
+      "loss": 0.7893,
+      "step": 4076
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3417810892431104e-06,
+      "loss": 0.8153,
+      "step": 4077
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3377758133507455e-06,
+      "loss": 0.8209,
+      "step": 4078
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.3337735121976247e-06,
+      "loss": 0.794,
+      "step": 4079
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 2.32977418733758e-06,
+      "loss": 0.7931,
+      "step": 4080
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3257778403232954e-06,
+      "loss": 0.7798,
+      "step": 4081
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.321784472706279e-06,
+      "loss": 0.8133,
+      "step": 4082
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.317794086036901e-06,
+      "loss": 0.7998,
+      "step": 4083
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3138066818643647e-06,
+      "loss": 0.7819,
+      "step": 4084
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.3098222617367184e-06,
+      "loss": 0.8159,
+      "step": 4085
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.30584082720085e-06,
+      "loss": 0.8031,
+      "step": 4086
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.301862379802492e-06,
+      "loss": 0.8095,
+      "step": 4087
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.297886921086211e-06,
+      "loss": 0.7571,
+      "step": 4088
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2939144525954194e-06,
+      "loss": 0.8148,
+      "step": 4089
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2899449758723657e-06,
+      "loss": 0.7104,
+      "step": 4090
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.285978492458134e-06,
+      "loss": 0.8409,
+      "step": 4091
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.282015003892659e-06,
+      "loss": 0.7811,
+      "step": 4092
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2780545117146947e-06,
+      "loss": 0.8162,
+      "step": 4093
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2740970174618405e-06,
+      "loss": 0.7638,
+      "step": 4094
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.270142522670541e-06,
+      "loss": 0.789,
+      "step": 4095
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2661910288760545e-06,
+      "loss": 0.7916,
+      "step": 4096
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.262242537612497e-06,
+      "loss": 0.8644,
+      "step": 4097
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.258297050412804e-06,
+      "loss": 0.6786,
+      "step": 4098
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.254354568808752e-06,
+      "loss": 0.7761,
+      "step": 4099
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2504150943309455e-06,
+      "loss": 0.8088,
+      "step": 4100
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.246478628508827e-06,
+      "loss": 0.7674,
+      "step": 4101
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.242545172870665e-06,
+      "loss": 0.7742,
+      "step": 4102
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.238614728943561e-06,
+      "loss": 0.7314,
+      "step": 4103
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2346872982534584e-06,
+      "loss": 0.7517,
+      "step": 4104
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2307628823251083e-06,
+      "loss": 0.7774,
+      "step": 4105
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2268414826821117e-06,
+      "loss": 0.8375,
+      "step": 4106
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.222923100846893e-06,
+      "loss": 0.7712,
+      "step": 4107
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2190077383406938e-06,
+      "loss": 0.8051,
+      "step": 4108
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2150953966835996e-06,
+      "loss": 0.7946,
+      "step": 4109
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.211186077394516e-06,
+      "loss": 0.8472,
+      "step": 4110
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.207279781991173e-06,
+      "loss": 0.7372,
+      "step": 4111
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.2033765119901294e-06,
+      "loss": 0.7509,
+      "step": 4112
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1994762689067705e-06,
+      "loss": 0.8195,
+      "step": 4113
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1955790542553036e-06,
+      "loss": 0.8269,
+      "step": 4114
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1916848695487615e-06,
+      "loss": 0.7602,
+      "step": 4115
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1877937162990015e-06,
+      "loss": 0.8191,
+      "step": 4116
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1839055960167e-06,
+      "loss": 0.8198,
+      "step": 4117
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.180020510211367e-06,
+      "loss": 0.7779,
+      "step": 4118
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1761384603913203e-06,
+      "loss": 0.8151,
+      "step": 4119
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.172259448063704e-06,
+      "loss": 0.7961,
+      "step": 4120
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1683834747344913e-06,
+      "loss": 0.7585,
+      "step": 4121
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1645105419084587e-06,
+      "loss": 0.8285,
+      "step": 4122
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.160640651089221e-06,
+      "loss": 0.3375,
+      "step": 4123
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1567738037791998e-06,
+      "loss": 0.754,
+      "step": 4124
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.152910001479638e-06,
+      "loss": 0.7506,
+      "step": 4125
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1490492456905964e-06,
+      "loss": 0.7954,
+      "step": 4126
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1451915379109546e-06,
+      "loss": 0.8157,
+      "step": 4127
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.141336879638406e-06,
+      "loss": 0.8048,
+      "step": 4128
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1374852723694595e-06,
+      "loss": 0.7934,
+      "step": 4129
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.133636717599451e-06,
+      "loss": 0.7324,
+      "step": 4130
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1297912168225086e-06,
+      "loss": 0.7333,
+      "step": 4131
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 2.1259487715316e-06,
+      "loss": 0.7485,
+      "step": 4132
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1221093832184903e-06,
+      "loss": 0.7775,
+      "step": 4133
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.118273053373757e-06,
+      "loss": 0.7718,
+      "step": 4134
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1144397834868034e-06,
+      "loss": 0.7874,
+      "step": 4135
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1106095750458332e-06,
+      "loss": 0.7997,
+      "step": 4136
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.106782429537866e-06,
+      "loss": 0.8154,
+      "step": 4137
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.1029583484487315e-06,
+      "loss": 0.8069,
+      "step": 4138
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0991373332630683e-06,
+      "loss": 0.8006,
+      "step": 4139
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0953193854643274e-06,
+      "loss": 0.783,
+      "step": 4140
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0915045065347673e-06,
+      "loss": 0.8214,
+      "step": 4141
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0876926979554545e-06,
+      "loss": 0.7778,
+      "step": 4142
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0838839612062633e-06,
+      "loss": 0.7801,
+      "step": 4143
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.080078297765884e-06,
+      "loss": 0.8235,
+      "step": 4144
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0762757091117937e-06,
+      "loss": 0.7827,
+      "step": 4145
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0724761967202987e-06,
+      "loss": 0.7607,
+      "step": 4146
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0686797620664987e-06,
+      "loss": 0.8511,
+      "step": 4147
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0648864066242937e-06,
+      "loss": 0.3376,
+      "step": 4148
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0610961318664013e-06,
+      "loss": 0.7936,
+      "step": 4149
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0573089392643362e-06,
+      "loss": 0.83,
+      "step": 4150
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0535248302884147e-06,
+      "loss": 0.7206,
+      "step": 4151
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0497438064077603e-06,
+      "loss": 0.7887,
+      "step": 4152
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.045965869090295e-06,
+      "loss": 0.8163,
+      "step": 4153
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0421910198027452e-06,
+      "loss": 0.8127,
+      "step": 4154
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0384192600106335e-06,
+      "loss": 0.8225,
+      "step": 4155
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0346505911782956e-06,
+      "loss": 0.7616,
+      "step": 4156
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0308850147688484e-06,
+      "loss": 0.7865,
+      "step": 4157
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0271225322442255e-06,
+      "loss": 0.8081,
+      "step": 4158
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0233631450651525e-06,
+      "loss": 0.8018,
+      "step": 4159
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.019606854691145e-06,
+      "loss": 0.8089,
+      "step": 4160
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0158536625805325e-06,
+      "loss": 0.7691,
+      "step": 4161
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.01210357019043e-06,
+      "loss": 0.7949,
+      "step": 4162
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.008356578976752e-06,
+      "loss": 0.7953,
+      "step": 4163
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.004612690394212e-06,
+      "loss": 0.8318,
+      "step": 4164
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 2.0008719058963144e-06,
+      "loss": 0.797,
+      "step": 4165
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.997134226935361e-06,
+      "loss": 0.8335,
+      "step": 4166
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9933996549624468e-06,
+      "loss": 0.8566,
+      "step": 4167
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9896681914274616e-06,
+      "loss": 0.8464,
+      "step": 4168
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9859398377790872e-06,
+      "loss": 0.8157,
+      "step": 4169
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.982214595464804e-06,
+      "loss": 0.849,
+      "step": 4170
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.97849246593087e-06,
+      "loss": 0.8275,
+      "step": 4171
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9747734506223525e-06,
+      "loss": 0.8323,
+      "step": 4172
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9710575509831008e-06,
+      "loss": 0.745,
+      "step": 4173
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.967344768455747e-06,
+      "loss": 0.7508,
+      "step": 4174
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9636351044817292e-06,
+      "loss": 0.807,
+      "step": 4175
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9599285605012643e-06,
+      "loss": 0.3358,
+      "step": 4176
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9562251379533593e-06,
+      "loss": 0.838,
+      "step": 4177
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.952524838275811e-06,
+      "loss": 0.8322,
+      "step": 4178
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9488276629052026e-06,
+      "loss": 0.7886,
+      "step": 4179
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.945133613276907e-06,
+      "loss": 0.8006,
+      "step": 4180
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.941442690825076e-06,
+      "loss": 0.7977,
+      "step": 4181
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.937754896982663e-06,
+      "loss": 0.741,
+      "step": 4182
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9340702331813842e-06,
+      "loss": 0.8567,
+      "step": 4183
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.9303887008517618e-06,
+      "loss": 0.8014,
+      "step": 4184
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9267103014230935e-06,
+      "loss": 0.7143,
+      "step": 4185
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.923035036323452e-06,
+      "loss": 0.7536,
+      "step": 4186
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.91936290697971e-06,
+      "loss": 0.7603,
+      "step": 4187
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9156939148175125e-06,
+      "loss": 0.775,
+      "step": 4188
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9120280612612873e-06,
+      "loss": 0.7316,
+      "step": 4189
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9083653477342467e-06,
+      "loss": 0.7325,
+      "step": 4190
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.904705775658381e-06,
+      "loss": 0.8432,
+      "step": 4191
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.9010493464544621e-06,
+      "loss": 0.7535,
+      "step": 4192
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8973960615420416e-06,
+      "loss": 0.3234,
+      "step": 4193
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8937459223394517e-06,
+      "loss": 0.7111,
+      "step": 4194
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8900989302637985e-06,
+      "loss": 0.7358,
+      "step": 4195
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8864550867309771e-06,
+      "loss": 0.7638,
+      "step": 4196
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8828143931556442e-06,
+      "loss": 0.8438,
+      "step": 4197
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8791768509512487e-06,
+      "loss": 0.8014,
+      "step": 4198
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.875542461530011e-06,
+      "loss": 0.811,
+      "step": 4199
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.871911226302917e-06,
+      "loss": 0.8192,
+      "step": 4200
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.868283146679747e-06,
+      "loss": 0.7699,
+      "step": 4201
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8646582240690414e-06,
+      "loss": 0.8208,
+      "step": 4202
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8610364598781227e-06,
+      "loss": 0.7344,
+      "step": 4203
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8574178555130818e-06,
+      "loss": 0.7776,
+      "step": 4204
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8538024123787868e-06,
+      "loss": 0.7619,
+      "step": 4205
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8501901318788773e-06,
+      "loss": 0.7064,
+      "step": 4206
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8465810154157626e-06,
+      "loss": 0.7982,
+      "step": 4207
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8429750643906331e-06,
+      "loss": 0.7643,
+      "step": 4208
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8393722802034331e-06,
+      "loss": 0.7736,
+      "step": 4209
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.835772664252895e-06,
+      "loss": 0.7842,
+      "step": 4210
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.832176217936511e-06,
+      "loss": 0.7492,
+      "step": 4211
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8285829426505453e-06,
+      "loss": 0.7975,
+      "step": 4212
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8249928397900351e-06,
+      "loss": 0.7722,
+      "step": 4213
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8214059107487726e-06,
+      "loss": 0.8075,
+      "step": 4214
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8178221569193343e-06,
+      "loss": 0.8084,
+      "step": 4215
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8142415796930568e-06,
+      "loss": 0.8131,
+      "step": 4216
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8106641804600411e-06,
+      "loss": 0.7996,
+      "step": 4217
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8070899606091586e-06,
+      "loss": 0.7893,
+      "step": 4218
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.8035189215280423e-06,
+      "loss": 0.7973,
+      "step": 4219
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.799951064603095e-06,
+      "loss": 0.7659,
+      "step": 4220
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7963863912194768e-06,
+      "loss": 0.7634,
+      "step": 4221
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7928249027611255e-06,
+      "loss": 0.7265,
+      "step": 4222
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.789266600610724e-06,
+      "loss": 0.7936,
+      "step": 4223
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7857114861497337e-06,
+      "loss": 0.8149,
+      "step": 4224
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.782159560758373e-06,
+      "loss": 0.795,
+      "step": 4225
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7786108258156154e-06,
+      "loss": 0.7665,
+      "step": 4226
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7750652826992077e-06,
+      "loss": 0.8059,
+      "step": 4227
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7715229327856498e-06,
+      "loss": 0.7442,
+      "step": 4228
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7679837774502052e-06,
+      "loss": 0.7958,
+      "step": 4229
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7644478180668945e-06,
+      "loss": 0.805,
+      "step": 4230
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7609150560084986e-06,
+      "loss": 0.7688,
+      "step": 4231
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7573854926465582e-06,
+      "loss": 0.7352,
+      "step": 4232
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7538591293513685e-06,
+      "loss": 0.8186,
+      "step": 4233
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7503359674919929e-06,
+      "loss": 0.7872,
+      "step": 4234
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.746816008436234e-06,
+      "loss": 0.7554,
+      "step": 4235
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.7432992535506687e-06,
+      "loss": 0.7923,
+      "step": 4236
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7397857042006194e-06,
+      "loss": 0.807,
+      "step": 4237
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.736275361750167e-06,
+      "loss": 0.8407,
+      "step": 4238
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7327682275621506e-06,
+      "loss": 0.8231,
+      "step": 4239
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7292643029981525e-06,
+      "loss": 0.8122,
+      "step": 4240
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7257635894185232e-06,
+      "loss": 0.7709,
+      "step": 4241
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7222660881823594e-06,
+      "loss": 0.7861,
+      "step": 4242
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7187718006475117e-06,
+      "loss": 0.7478,
+      "step": 4243
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7152807281705809e-06,
+      "loss": 0.7917,
+      "step": 4244
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.7117928721069233e-06,
+      "loss": 0.8088,
+      "step": 4245
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.708308233810644e-06,
+      "loss": 0.7412,
+      "step": 4246
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.704826814634597e-06,
+      "loss": 0.7968,
+      "step": 4247
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.701348615930397e-06,
+      "loss": 0.7789,
+      "step": 4248
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6978736390483896e-06,
+      "loss": 0.6892,
+      "step": 4249
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6944018853376898e-06,
+      "loss": 0.7414,
+      "step": 4250
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6909333561461471e-06,
+      "loss": 0.822,
+      "step": 4251
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6874680528203657e-06,
+      "loss": 0.779,
+      "step": 4252
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6840059767056949e-06,
+      "loss": 0.7852,
+      "step": 4253
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6805471291462316e-06,
+      "loss": 0.8257,
+      "step": 4254
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6770915114848197e-06,
+      "loss": 0.7572,
+      "step": 4255
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.67363912506305e-06,
+      "loss": 0.8279,
+      "step": 4256
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6701899712212565e-06,
+      "loss": 0.8263,
+      "step": 4257
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.66674405129852e-06,
+      "loss": 0.7979,
+      "step": 4258
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6633013666326636e-06,
+      "loss": 0.7351,
+      "step": 4259
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6598619185602616e-06,
+      "loss": 0.3125,
+      "step": 4260
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.656425708416617e-06,
+      "loss": 0.7828,
+      "step": 4261
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6529927375357957e-06,
+      "loss": 0.8061,
+      "step": 4262
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6495630072505841e-06,
+      "loss": 0.7713,
+      "step": 4263
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6461365188925304e-06,
+      "loss": 0.7935,
+      "step": 4264
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.642713273791914e-06,
+      "loss": 0.8087,
+      "step": 4265
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6392932732777489e-06,
+      "loss": 0.8445,
+      "step": 4266
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6358765186778057e-06,
+      "loss": 0.7707,
+      "step": 4267
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6324630113185835e-06,
+      "loss": 0.7781,
+      "step": 4268
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.629052752525323e-06,
+      "loss": 0.8351,
+      "step": 4269
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.625645743622003e-06,
+      "loss": 0.8087,
+      "step": 4270
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6222419859313443e-06,
+      "loss": 0.8129,
+      "step": 4271
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6188414807747999e-06,
+      "loss": 0.7848,
+      "step": 4272
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6154442294725636e-06,
+      "loss": 0.2981,
+      "step": 4273
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6120502333435695e-06,
+      "loss": 0.7727,
+      "step": 4274
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6086594937054767e-06,
+      "loss": 0.795,
+      "step": 4275
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6052720118746923e-06,
+      "loss": 0.7833,
+      "step": 4276
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.6018877891663521e-06,
+      "loss": 0.7602,
+      "step": 4277
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5985068268943283e-06,
+      "loss": 0.8005,
+      "step": 4278
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5951291263712255e-06,
+      "loss": 0.8015,
+      "step": 4279
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5917546889083834e-06,
+      "loss": 0.7588,
+      "step": 4280
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5883835158158767e-06,
+      "loss": 0.8018,
+      "step": 4281
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5850156084025091e-06,
+      "loss": 0.8366,
+      "step": 4282
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5816509679758185e-06,
+      "loss": 0.7396,
+      "step": 4283
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.578289595842074e-06,
+      "loss": 0.8339,
+      "step": 4284
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5749314933062754e-06,
+      "loss": 0.7753,
+      "step": 4285
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5715766616721584e-06,
+      "loss": 0.7913,
+      "step": 4286
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5682251022421757e-06,
+      "loss": 0.753,
+      "step": 4287
+    },
+    {
+      "epoch": 0.82,
+      "learning_rate": 1.5648768163175277e-06,
+      "loss": 0.3275,
+      "step": 4288
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5615318051981243e-06,
+      "loss": 0.7681,
+      "step": 4289
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5581900701826226e-06,
+      "loss": 0.807,
+      "step": 4290
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5548516125683976e-06,
+      "loss": 0.8159,
+      "step": 4291
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5515164336515465e-06,
+      "loss": 0.7872,
+      "step": 4292
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5481845347269077e-06,
+      "loss": 0.8059,
+      "step": 4293
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5448559170880373e-06,
+      "loss": 0.8026,
+      "step": 4294
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5415305820272198e-06,
+      "loss": 0.779,
+      "step": 4295
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5382085308354633e-06,
+      "loss": 0.8187,
+      "step": 4296
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.534889764802503e-06,
+      "loss": 0.7661,
+      "step": 4297
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5315742852167992e-06,
+      "loss": 0.827,
+      "step": 4298
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5282620933655312e-06,
+      "loss": 0.8384,
+      "step": 4299
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5249531905346138e-06,
+      "loss": 0.8079,
+      "step": 4300
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.521647578008667e-06,
+      "loss": 0.7335,
+      "step": 4301
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5183452570710522e-06,
+      "loss": 0.3499,
+      "step": 4302
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5150462290038392e-06,
+      "loss": 0.8082,
+      "step": 4303
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.511750495087827e-06,
+      "loss": 0.8649,
+      "step": 4304
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5084580566025309e-06,
+      "loss": 0.8187,
+      "step": 4305
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5051689148261895e-06,
+      "loss": 0.7135,
+      "step": 4306
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.5018830710357612e-06,
+      "loss": 0.8047,
+      "step": 4307
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4986005265069204e-06,
+      "loss": 0.794,
+      "step": 4308
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4953212825140728e-06,
+      "loss": 0.7348,
+      "step": 4309
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4920453403303249e-06,
+      "loss": 0.3474,
+      "step": 4310
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4887727012275112e-06,
+      "loss": 0.662,
+      "step": 4311
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4855033664761898e-06,
+      "loss": 0.8041,
+      "step": 4312
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.48223733734562e-06,
+      "loss": 0.7776,
+      "step": 4313
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4789746151037942e-06,
+      "loss": 0.3364,
+      "step": 4314
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.475715201017407e-06,
+      "loss": 0.7769,
+      "step": 4315
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4724590963518803e-06,
+      "loss": 0.7624,
+      "step": 4316
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4692063023713444e-06,
+      "loss": 0.7845,
+      "step": 4317
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4659568203386464e-06,
+      "loss": 0.7863,
+      "step": 4318
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4627106515153456e-06,
+      "loss": 0.8117,
+      "step": 4319
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4594677971617178e-06,
+      "loss": 0.782,
+      "step": 4320
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4562282585367493e-06,
+      "loss": 0.7504,
+      "step": 4321
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.452992036898142e-06,
+      "loss": 0.7415,
+      "step": 4322
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4497591335023087e-06,
+      "loss": 0.789,
+      "step": 4323
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.446529549604373e-06,
+      "loss": 0.8382,
+      "step": 4324
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4433032864581687e-06,
+      "loss": 0.737,
+      "step": 4325
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4400803453162482e-06,
+      "loss": 0.8213,
+      "step": 4326
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4368607274298596e-06,
+      "loss": 0.329,
+      "step": 4327
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4336444340489775e-06,
+      "loss": 0.7757,
+      "step": 4328
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.430431466422273e-06,
+      "loss": 0.7975,
+      "step": 4329
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4272218257971327e-06,
+      "loss": 0.8079,
+      "step": 4330
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4240155134196499e-06,
+      "loss": 0.7324,
+      "step": 4331
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4208125305346232e-06,
+      "loss": 0.7741,
+      "step": 4332
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4176128783855636e-06,
+      "loss": 0.7804,
+      "step": 4333
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4144165582146819e-06,
+      "loss": 0.7629,
+      "step": 4334
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4112235712629063e-06,
+      "loss": 0.7232,
+      "step": 4335
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.40803391876986e-06,
+      "loss": 0.774,
+      "step": 4336
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4048476019738756e-06,
+      "loss": 0.7629,
+      "step": 4337
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.4016646221119912e-06,
+      "loss": 0.7715,
+      "step": 4338
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.3984849804199485e-06,
+      "loss": 0.8274,
+      "step": 4339
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 1.395308678132199e-06,
+      "loss": 0.8114,
+      "step": 4340
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.392135716481885e-06,
+      "loss": 0.7977,
+      "step": 4341
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3889660967008656e-06,
+      "loss": 0.7923,
+      "step": 4342
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3857998200196943e-06,
+      "loss": 0.778,
+      "step": 4343
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3826368876676278e-06,
+      "loss": 0.7883,
+      "step": 4344
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.379477300872626e-06,
+      "loss": 0.7633,
+      "step": 4345
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3763210608613497e-06,
+      "loss": 0.7508,
+      "step": 4346
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3731681688591593e-06,
+      "loss": 0.7515,
+      "step": 4347
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.370018626090116e-06,
+      "loss": 0.7493,
+      "step": 4348
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3668724337769823e-06,
+      "loss": 0.7891,
+      "step": 4349
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3637295931412153e-06,
+      "loss": 0.7807,
+      "step": 4350
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3605901054029746e-06,
+      "loss": 0.7657,
+      "step": 4351
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3574539717811231e-06,
+      "loss": 0.8274,
+      "step": 4352
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3543211934932065e-06,
+      "loss": 0.7745,
+      "step": 4353
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3511917717554846e-06,
+      "loss": 0.717,
+      "step": 4354
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.348065707782904e-06,
+      "loss": 0.7412,
+      "step": 4355
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3449430027891096e-06,
+      "loss": 0.7958,
+      "step": 4356
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3418236579864452e-06,
+      "loss": 0.8257,
+      "step": 4357
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.338707674585945e-06,
+      "loss": 0.8108,
+      "step": 4358
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3355950537973438e-06,
+      "loss": 0.7887,
+      "step": 4359
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.332485796829065e-06,
+      "loss": 0.83,
+      "step": 4360
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.329379904888235e-06,
+      "loss": 0.7286,
+      "step": 4361
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3262773791806617e-06,
+      "loss": 0.8154,
+      "step": 4362
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3231782209108546e-06,
+      "loss": 0.7298,
+      "step": 4363
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3200824312820137e-06,
+      "loss": 0.7211,
+      "step": 4364
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3169900114960298e-06,
+      "loss": 0.7989,
+      "step": 4365
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3139009627534927e-06,
+      "loss": 0.8623,
+      "step": 4366
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3108152862536683e-06,
+      "loss": 0.7922,
+      "step": 4367
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3077329831945295e-06,
+      "loss": 0.7552,
+      "step": 4368
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3046540547727305e-06,
+      "loss": 0.7803,
+      "step": 4369
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.3015785021836159e-06,
+      "loss": 0.7694,
+      "step": 4370
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2985063266212229e-06,
+      "loss": 0.7708,
+      "step": 4371
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.295437529278275e-06,
+      "loss": 0.81,
+      "step": 4372
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2923721113461852e-06,
+      "loss": 0.7068,
+      "step": 4373
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2893100740150522e-06,
+      "loss": 0.7694,
+      "step": 4374
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2862514184736695e-06,
+      "loss": 0.7821,
+      "step": 4375
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2831961459095088e-06,
+      "loss": 0.8034,
+      "step": 4376
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2801442575087296e-06,
+      "loss": 0.7762,
+      "step": 4377
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2770957544561868e-06,
+      "loss": 0.7843,
+      "step": 4378
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.274050637935408e-06,
+      "loss": 0.7593,
+      "step": 4379
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2710089091286148e-06,
+      "loss": 0.765,
+      "step": 4380
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2679705692167122e-06,
+      "loss": 0.8336,
+      "step": 4381
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2649356193792873e-06,
+      "loss": 0.8041,
+      "step": 4382
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.261904060794612e-06,
+      "loss": 0.3486,
+      "step": 4383
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2588758946396417e-06,
+      "loss": 0.768,
+      "step": 4384
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2558511220900138e-06,
+      "loss": 0.8056,
+      "step": 4385
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2528297443200489e-06,
+      "loss": 0.7929,
+      "step": 4386
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2498117625027562e-06,
+      "loss": 0.7752,
+      "step": 4387
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.246797177809812e-06,
+      "loss": 0.7593,
+      "step": 4388
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2437859914115847e-06,
+      "loss": 0.7534,
+      "step": 4389
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.2407782044771211e-06,
+      "loss": 0.753,
+      "step": 4390
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.237773818174146e-06,
+      "loss": 0.8063,
+      "step": 4391
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 1.23477283366907e-06,
+      "loss": 0.7653,
+      "step": 4392
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2317752521269722e-06,
+      "loss": 0.7368,
+      "step": 4393
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2287810747116224e-06,
+      "loss": 0.8129,
+      "step": 4394
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.225790302585461e-06,
+      "loss": 0.3499,
+      "step": 4395
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2228029369096094e-06,
+      "loss": 0.7296,
+      "step": 4396
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2198189788438652e-06,
+      "loss": 0.7483,
+      "step": 4397
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.216838429546704e-06,
+      "loss": 0.7582,
+      "step": 4398
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2138612901752777e-06,
+      "loss": 0.6965,
+      "step": 4399
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2108875618854122e-06,
+      "loss": 0.8185,
+      "step": 4400
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2079172458316168e-06,
+      "loss": 0.8189,
+      "step": 4401
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.204950343167065e-06,
+      "loss": 0.3388,
+      "step": 4402
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.2019868550436099e-06,
+      "loss": 0.7479,
+      "step": 4403
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1990267826117874e-06,
+      "loss": 0.7723,
+      "step": 4404
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1960701270207885e-06,
+      "loss": 0.742,
+      "step": 4405
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1931168894184974e-06,
+      "loss": 0.7684,
+      "step": 4406
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.19016707095146e-06,
+      "loss": 0.8066,
+      "step": 4407
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.187220672764897e-06,
+      "loss": 0.3122,
+      "step": 4408
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1842776960027014e-06,
+      "loss": 0.342,
+      "step": 4409
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1813381418074388e-06,
+      "loss": 0.8048,
+      "step": 4410
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1784020113203453e-06,
+      "loss": 0.8467,
+      "step": 4411
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1754693056813272e-06,
+      "loss": 0.8011,
+      "step": 4412
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.172540026028962e-06,
+      "loss": 0.7591,
+      "step": 4413
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.169614173500494e-06,
+      "loss": 0.7675,
+      "step": 4414
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1666917492318486e-06,
+      "loss": 0.7221,
+      "step": 4415
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1637727543576027e-06,
+      "loss": 0.8151,
+      "step": 4416
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1608571900110122e-06,
+      "loss": 0.7864,
+      "step": 4417
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1579450573240058e-06,
+      "loss": 0.7909,
+      "step": 4418
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1550363574271638e-06,
+      "loss": 0.7479,
+      "step": 4419
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1521310914497518e-06,
+      "loss": 0.7855,
+      "step": 4420
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.149229260519691e-06,
+      "loss": 0.8394,
+      "step": 4421
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1463308657635718e-06,
+      "loss": 0.792,
+      "step": 4422
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1434359083066515e-06,
+      "loss": 0.8026,
+      "step": 4423
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.140544389272853e-06,
+      "loss": 0.7669,
+      "step": 4424
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1376563097847616e-06,
+      "loss": 0.7659,
+      "step": 4425
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1347716709636282e-06,
+      "loss": 0.7712,
+      "step": 4426
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1318904739293745e-06,
+      "loss": 0.8144,
+      "step": 4427
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.129012719800575e-06,
+      "loss": 0.7522,
+      "step": 4428
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1261384096944728e-06,
+      "loss": 0.7531,
+      "step": 4429
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1232675447269803e-06,
+      "loss": 0.828,
+      "step": 4430
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1204001260126574e-06,
+      "loss": 0.7899,
+      "step": 4431
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1175361546647413e-06,
+      "loss": 0.8051,
+      "step": 4432
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1146756317951224e-06,
+      "loss": 0.8339,
+      "step": 4433
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1118185585143536e-06,
+      "loss": 0.7676,
+      "step": 4434
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1089649359316501e-06,
+      "loss": 0.8234,
+      "step": 4435
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1061147651548855e-06,
+      "loss": 0.8244,
+      "step": 4436
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1032680472905932e-06,
+      "loss": 0.7627,
+      "step": 4437
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.1004247834439697e-06,
+      "loss": 0.3059,
+      "step": 4438
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.097584974718866e-06,
+      "loss": 0.7573,
+      "step": 4439
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0947486222177928e-06,
+      "loss": 0.331,
+      "step": 4440
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0919157270419257e-06,
+      "loss": 0.7332,
+      "step": 4441
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0890862902910849e-06,
+      "loss": 0.7628,
+      "step": 4442
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0862603130637562e-06,
+      "loss": 0.8122,
+      "step": 4443
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 1.0834377964570863e-06,
+      "loss": 0.7889,
+      "step": 4444
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0806187415668668e-06,
+      "loss": 0.8251,
+      "step": 4445
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0778031494875574e-06,
+      "loss": 0.7646,
+      "step": 4446
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0749910213122649e-06,
+      "loss": 0.8127,
+      "step": 4447
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.072182358132755e-06,
+      "loss": 0.7658,
+      "step": 4448
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0693771610394477e-06,
+      "loss": 0.7893,
+      "step": 4449
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.066575431121417e-06,
+      "loss": 0.7542,
+      "step": 4450
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.06377716946639e-06,
+      "loss": 0.7962,
+      "step": 4451
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0609823771607487e-06,
+      "loss": 0.8519,
+      "step": 4452
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0581910552895302e-06,
+      "loss": 0.7499,
+      "step": 4453
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.055403204936416e-06,
+      "loss": 0.8162,
+      "step": 4454
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0526188271837512e-06,
+      "loss": 0.8029,
+      "step": 4455
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0498379231125278e-06,
+      "loss": 0.7337,
+      "step": 4456
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.047060493802381e-06,
+      "loss": 0.7862,
+      "step": 4457
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0442865403316117e-06,
+      "loss": 0.7581,
+      "step": 4458
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0415160637771604e-06,
+      "loss": 0.7689,
+      "step": 4459
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0387490652146236e-06,
+      "loss": 0.7917,
+      "step": 4460
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0359855457182455e-06,
+      "loss": 0.7944,
+      "step": 4461
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0332255063609177e-06,
+      "loss": 0.7956,
+      "step": 4462
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0304689482141839e-06,
+      "loss": 0.7672,
+      "step": 4463
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.027715872348234e-06,
+      "loss": 0.8203,
+      "step": 4464
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0249662798319072e-06,
+      "loss": 0.3178,
+      "step": 4465
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0222201717326885e-06,
+      "loss": 0.7966,
+      "step": 4466
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0194775491167164e-06,
+      "loss": 0.8329,
+      "step": 4467
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0167384130487667e-06,
+      "loss": 0.8854,
+      "step": 4468
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0140027645922656e-06,
+      "loss": 0.7855,
+      "step": 4469
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0112706048092924e-06,
+      "loss": 0.8008,
+      "step": 4470
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0085419347605575e-06,
+      "loss": 0.7328,
+      "step": 4471
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.00581675550543e-06,
+      "loss": 0.7629,
+      "step": 4472
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.003095068101917e-06,
+      "loss": 0.7794,
+      "step": 4473
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 1.0003768736066722e-06,
+      "loss": 0.793,
+      "step": 4474
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.976621730749892e-07,
+      "loss": 0.805,
+      "step": 4475
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.949509675608115e-07,
+      "loss": 0.7461,
+      "step": 4476
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.922432581167207e-07,
+      "loss": 0.7575,
+      "step": 4477
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.895390457939414e-07,
+      "loss": 0.8562,
+      "step": 4478
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.86838331642348e-07,
+      "loss": 0.7902,
+      "step": 4479
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.84141116710442e-07,
+      "loss": 0.8135,
+      "step": 4480
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.814474020453824e-07,
+      "loss": 0.8384,
+      "step": 4481
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.787571886929604e-07,
+      "loss": 0.7781,
+      "step": 4482
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.76070477697605e-07,
+      "loss": 0.7736,
+      "step": 4483
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.733872701023938e-07,
+      "loss": 0.827,
+      "step": 4484
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.707075669490407e-07,
+      "loss": 0.8186,
+      "step": 4485
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.680313692778976e-07,
+      "loss": 0.7592,
+      "step": 4486
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.653586781279567e-07,
+      "loss": 0.7591,
+      "step": 4487
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.626894945368492e-07,
+      "loss": 0.8288,
+      "step": 4488
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.600238195408428e-07,
+      "loss": 0.748,
+      "step": 4489
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.573616541748464e-07,
+      "loss": 0.7833,
+      "step": 4490
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.547029994724023e-07,
+      "loss": 0.7951,
+      "step": 4491
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.520478564656898e-07,
+      "loss": 0.8158,
+      "step": 4492
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.49396226185535e-07,
+      "loss": 0.3466,
+      "step": 4493
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.467481096613829e-07,
+      "loss": 0.7661,
+      "step": 4494
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.441035079213267e-07,
+      "loss": 0.8292,
+      "step": 4495
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 9.414624219920953e-07,
+      "loss": 0.7948,
+      "step": 4496
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.38824852899043e-07,
+      "loss": 0.7432,
+      "step": 4497
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.361908016661703e-07,
+      "loss": 0.8115,
+      "step": 4498
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.335602693161039e-07,
+      "loss": 0.765,
+      "step": 4499
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.309332568701079e-07,
+      "loss": 0.7371,
+      "step": 4500
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.283097653480788e-07,
+      "loss": 0.7913,
+      "step": 4501
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.256897957685463e-07,
+      "loss": 0.7848,
+      "step": 4502
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.230733491486721e-07,
+      "loss": 0.7949,
+      "step": 4503
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.204604265042505e-07,
+      "loss": 0.7776,
+      "step": 4504
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.178510288497123e-07,
+      "loss": 0.8011,
+      "step": 4505
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.15245157198108e-07,
+      "loss": 0.7885,
+      "step": 4506
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.126428125611342e-07,
+      "loss": 0.3266,
+      "step": 4507
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.10043995949108e-07,
+      "loss": 0.7871,
+      "step": 4508
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.074487083709759e-07,
+      "loss": 0.769,
+      "step": 4509
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.04856950834323e-07,
+      "loss": 0.7512,
+      "step": 4510
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 9.022687243453554e-07,
+      "loss": 0.7788,
+      "step": 4511
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.996840299089149e-07,
+      "loss": 0.8003,
+      "step": 4512
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.971028685284655e-07,
+      "loss": 0.7393,
+      "step": 4513
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.945252412061056e-07,
+      "loss": 0.8241,
+      "step": 4514
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.91951148942557e-07,
+      "loss": 0.7685,
+      "step": 4515
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.893805927371724e-07,
+      "loss": 0.7511,
+      "step": 4516
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.868135735879291e-07,
+      "loss": 0.7425,
+      "step": 4517
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.842500924914299e-07,
+      "loss": 0.779,
+      "step": 4518
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.816901504429143e-07,
+      "loss": 0.7529,
+      "step": 4519
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.791337484362305e-07,
+      "loss": 0.708,
+      "step": 4520
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.765808874638682e-07,
+      "loss": 0.7251,
+      "step": 4521
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.740315685169364e-07,
+      "loss": 0.7628,
+      "step": 4522
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.714857925851617e-07,
+      "loss": 0.7874,
+      "step": 4523
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.689435606569086e-07,
+      "loss": 0.7873,
+      "step": 4524
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.664048737191566e-07,
+      "loss": 0.7721,
+      "step": 4525
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.638697327575108e-07,
+      "loss": 0.7432,
+      "step": 4526
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.613381387562015e-07,
+      "loss": 0.7931,
+      "step": 4527
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.588100926980802e-07,
+      "loss": 0.7477,
+      "step": 4528
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.56285595564621e-07,
+      "loss": 0.7716,
+      "step": 4529
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.537646483359185e-07,
+      "loss": 0.7836,
+      "step": 4530
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.512472519906978e-07,
+      "loss": 0.7606,
+      "step": 4531
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.487334075062914e-07,
+      "loss": 0.8243,
+      "step": 4532
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.462231158586654e-07,
+      "loss": 0.7492,
+      "step": 4533
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.437163780224011e-07,
+      "loss": 0.8577,
+      "step": 4534
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.412131949706958e-07,
+      "loss": 0.7792,
+      "step": 4535
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.387135676753755e-07,
+      "loss": 0.732,
+      "step": 4536
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.362174971068804e-07,
+      "loss": 0.7948,
+      "step": 4537
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.337249842342721e-07,
+      "loss": 0.799,
+      "step": 4538
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.312360300252287e-07,
+      "loss": 0.7915,
+      "step": 4539
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.287506354460484e-07,
+      "loss": 0.7865,
+      "step": 4540
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.26268801461646e-07,
+      "loss": 0.8023,
+      "step": 4541
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.237905290355563e-07,
+      "loss": 0.786,
+      "step": 4542
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.213158191299297e-07,
+      "loss": 0.8071,
+      "step": 4543
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.188446727055311e-07,
+      "loss": 0.7334,
+      "step": 4544
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.163770907217506e-07,
+      "loss": 0.7624,
+      "step": 4545
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.139130741365819e-07,
+      "loss": 0.7163,
+      "step": 4546
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.114526239066456e-07,
+      "loss": 0.8001,
+      "step": 4547
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 8.08995740987173e-07,
+      "loss": 0.7758,
+      "step": 4548
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.065424263320054e-07,
+      "loss": 0.8039,
+      "step": 4549
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.040926808936112e-07,
+      "loss": 0.8002,
+      "step": 4550
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 8.016465056230616e-07,
+      "loss": 0.8319,
+      "step": 4551
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.99203901470047e-07,
+      "loss": 0.7454,
+      "step": 4552
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.967648693828712e-07,
+      "loss": 0.7334,
+      "step": 4553
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.943294103084487e-07,
+      "loss": 0.8053,
+      "step": 4554
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.9189752519231e-07,
+      "loss": 0.7695,
+      "step": 4555
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.894692149785954e-07,
+      "loss": 0.7808,
+      "step": 4556
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.870444806100619e-07,
+      "loss": 0.822,
+      "step": 4557
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.846233230280698e-07,
+      "loss": 0.7767,
+      "step": 4558
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.822057431725994e-07,
+      "loss": 0.7714,
+      "step": 4559
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.797917419822377e-07,
+      "loss": 0.7855,
+      "step": 4560
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.773813203941827e-07,
+      "loss": 0.8008,
+      "step": 4561
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.749744793442448e-07,
+      "loss": 0.715,
+      "step": 4562
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.725712197668378e-07,
+      "loss": 0.7417,
+      "step": 4563
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.701715425949952e-07,
+      "loss": 0.8174,
+      "step": 4564
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.677754487603517e-07,
+      "loss": 0.8184,
+      "step": 4565
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.653829391931533e-07,
+      "loss": 0.802,
+      "step": 4566
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.629940148222559e-07,
+      "loss": 0.7717,
+      "step": 4567
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.606086765751209e-07,
+      "loss": 0.3399,
+      "step": 4568
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.582269253778185e-07,
+      "loss": 0.7863,
+      "step": 4569
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.55848762155027e-07,
+      "loss": 0.785,
+      "step": 4570
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.534741878300333e-07,
+      "loss": 0.8112,
+      "step": 4571
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.511032033247256e-07,
+      "loss": 0.8374,
+      "step": 4572
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.487358095596031e-07,
+      "loss": 0.7834,
+      "step": 4573
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.463720074537728e-07,
+      "loss": 0.7732,
+      "step": 4574
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.440117979249362e-07,
+      "loss": 0.7484,
+      "step": 4575
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.416551818894158e-07,
+      "loss": 0.7879,
+      "step": 4576
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.393021602621264e-07,
+      "loss": 0.801,
+      "step": 4577
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.369527339565951e-07,
+      "loss": 0.7981,
+      "step": 4578
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.346069038849469e-07,
+      "loss": 0.8009,
+      "step": 4579
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.322646709579173e-07,
+      "loss": 0.7401,
+      "step": 4580
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.299260360848382e-07,
+      "loss": 0.7483,
+      "step": 4581
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.275910001736497e-07,
+      "loss": 0.8299,
+      "step": 4582
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.252595641308957e-07,
+      "loss": 0.7857,
+      "step": 4583
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.229317288617144e-07,
+      "loss": 0.7288,
+      "step": 4584
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.20607495269856e-07,
+      "loss": 0.7874,
+      "step": 4585
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.182868642576679e-07,
+      "loss": 0.8161,
+      "step": 4586
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.15969836726097e-07,
+      "loss": 0.8527,
+      "step": 4587
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.13656413574696e-07,
+      "loss": 0.8231,
+      "step": 4588
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.113465957016097e-07,
+      "loss": 0.8007,
+      "step": 4589
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.090403840035942e-07,
+      "loss": 0.8118,
+      "step": 4590
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.067377793759999e-07,
+      "loss": 0.7762,
+      "step": 4591
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.044387827127752e-07,
+      "loss": 0.7468,
+      "step": 4592
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.021433949064704e-07,
+      "loss": 0.7398,
+      "step": 4593
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.99851616848235e-07,
+      "loss": 0.783,
+      "step": 4594
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.975634494278149e-07,
+      "loss": 0.7928,
+      "step": 4595
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.952788935335541e-07,
+      "loss": 0.8257,
+      "step": 4596
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.92997950052402e-07,
+      "loss": 0.7698,
+      "step": 4597
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.907206198698912e-07,
+      "loss": 0.7236,
+      "step": 4598
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.884469038701646e-07,
+      "loss": 0.7832,
+      "step": 4599
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.861768029359595e-07,
+      "loss": 0.7516,
+      "step": 4600
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.839103179485995e-07,
+      "loss": 0.7903,
+      "step": 4601
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.816474497880177e-07,
+      "loss": 0.3702,
+      "step": 4602
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.793881993327366e-07,
+      "loss": 0.774,
+      "step": 4603
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.77132567459875e-07,
+      "loss": 0.7807,
+      "step": 4604
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.748805550451453e-07,
+      "loss": 0.7982,
+      "step": 4605
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.726321629628585e-07,
+      "loss": 0.7811,
+      "step": 4606
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.703873920859161e-07,
+      "loss": 0.7812,
+      "step": 4607
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.681462432858154e-07,
+      "loss": 0.7789,
+      "step": 4608
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.659087174326506e-07,
+      "loss": 0.6947,
+      "step": 4609
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.636748153951e-07,
+      "loss": 0.7888,
+      "step": 4610
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.614445380404478e-07,
+      "loss": 0.7803,
+      "step": 4611
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.592178862345622e-07,
+      "loss": 0.8057,
+      "step": 4612
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.569948608419041e-07,
+      "loss": 0.6938,
+      "step": 4613
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.547754627255332e-07,
+      "loss": 0.7214,
+      "step": 4614
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.52559692747089e-07,
+      "loss": 0.7919,
+      "step": 4615
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.503475517668168e-07,
+      "loss": 0.786,
+      "step": 4616
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.481390406435417e-07,
+      "loss": 0.7397,
+      "step": 4617
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.459341602346858e-07,
+      "loss": 0.7695,
+      "step": 4618
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.437329113962576e-07,
+      "loss": 0.7471,
+      "step": 4619
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.415352949828601e-07,
+      "loss": 0.8065,
+      "step": 4620
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.393413118476821e-07,
+      "loss": 0.7491,
+      "step": 4621
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.371509628425021e-07,
+      "loss": 0.8171,
+      "step": 4622
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.349642488176943e-07,
+      "loss": 0.7476,
+      "step": 4623
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.327811706222097e-07,
+      "loss": 0.7829,
+      "step": 4624
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.306017291035981e-07,
+      "loss": 0.7747,
+      "step": 4625
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.284259251079939e-07,
+      "loss": 0.8005,
+      "step": 4626
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.262537594801177e-07,
+      "loss": 0.8161,
+      "step": 4627
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.240852330632796e-07,
+      "loss": 0.7712,
+      "step": 4628
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.219203466993762e-07,
+      "loss": 0.7599,
+      "step": 4629
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.197591012288918e-07,
+      "loss": 0.3298,
+      "step": 4630
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.17601497490895e-07,
+      "loss": 0.8139,
+      "step": 4631
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.154475363230417e-07,
+      "loss": 0.766,
+      "step": 4632
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.132972185615749e-07,
+      "loss": 0.7872,
+      "step": 4633
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.111505450413202e-07,
+      "loss": 0.8355,
+      "step": 4634
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.090075165956943e-07,
+      "loss": 0.7525,
+      "step": 4635
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.068681340566896e-07,
+      "loss": 0.3624,
+      "step": 4636
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.047323982548924e-07,
+      "loss": 0.7741,
+      "step": 4637
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.026003100194633e-07,
+      "loss": 0.77,
+      "step": 4638
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.004718701781575e-07,
+      "loss": 0.7797,
+      "step": 4639
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.983470795573088e-07,
+      "loss": 0.7982,
+      "step": 4640
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.962259389818292e-07,
+      "loss": 0.7624,
+      "step": 4641
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.941084492752236e-07,
+      "loss": 0.7791,
+      "step": 4642
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.91994611259572e-07,
+      "loss": 0.7344,
+      "step": 4643
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.898844257555392e-07,
+      "loss": 0.737,
+      "step": 4644
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.87777893582372e-07,
+      "loss": 0.7439,
+      "step": 4645
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.856750155578983e-07,
+      "loss": 0.7516,
+      "step": 4646
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.835757924985286e-07,
+      "loss": 0.7731,
+      "step": 4647
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.81480225219252e-07,
+      "loss": 0.783,
+      "step": 4648
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.793883145336443e-07,
+      "loss": 0.7296,
+      "step": 4649
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.773000612538505e-07,
+      "loss": 0.7469,
+      "step": 4650
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.752154661906085e-07,
+      "loss": 0.8098,
+      "step": 4651
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 5.731345301532265e-07,
+      "loss": 0.8014,
+      "step": 4652
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.710572539495962e-07,
+      "loss": 0.8463,
+      "step": 4653
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.68983638386188e-07,
+      "loss": 0.8111,
+      "step": 4654
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.669136842680512e-07,
+      "loss": 0.8216,
+      "step": 4655
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.648473923988129e-07,
+      "loss": 0.8062,
+      "step": 4656
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.627847635806771e-07,
+      "loss": 0.7688,
+      "step": 4657
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.607257986144321e-07,
+      "loss": 0.801,
+      "step": 4658
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.58670498299434e-07,
+      "loss": 0.7757,
+      "step": 4659
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.566188634336212e-07,
+      "loss": 0.7612,
+      "step": 4660
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.545708948135142e-07,
+      "loss": 0.3289,
+      "step": 4661
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.525265932341984e-07,
+      "loss": 0.7907,
+      "step": 4662
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.504859594893475e-07,
+      "loss": 0.7954,
+      "step": 4663
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.484489943712013e-07,
+      "loss": 0.8166,
+      "step": 4664
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.464156986705826e-07,
+      "loss": 0.7929,
+      "step": 4665
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.443860731768869e-07,
+      "loss": 0.7662,
+      "step": 4666
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.423601186780836e-07,
+      "loss": 0.8032,
+      "step": 4667
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.403378359607181e-07,
+      "loss": 0.812,
+      "step": 4668
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.383192258099113e-07,
+      "loss": 0.7217,
+      "step": 4669
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.36304289009355e-07,
+      "loss": 0.7624,
+      "step": 4670
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.342930263413193e-07,
+      "loss": 0.7452,
+      "step": 4671
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.322854385866439e-07,
+      "loss": 0.8372,
+      "step": 4672
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.302815265247452e-07,
+      "loss": 0.6993,
+      "step": 4673
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.282812909336077e-07,
+      "loss": 0.7585,
+      "step": 4674
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.262847325897968e-07,
+      "loss": 0.7812,
+      "step": 4675
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.242918522684392e-07,
+      "loss": 0.792,
+      "step": 4676
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.22302650743245e-07,
+      "loss": 0.727,
+      "step": 4677
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.203171287864872e-07,
+      "loss": 0.7429,
+      "step": 4678
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.183352871690162e-07,
+      "loss": 0.736,
+      "step": 4679
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.163571266602485e-07,
+      "loss": 0.85,
+      "step": 4680
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.143826480281778e-07,
+      "loss": 0.7929,
+      "step": 4681
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.124118520393606e-07,
+      "loss": 0.7376,
+      "step": 4682
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.104447394589295e-07,
+      "loss": 0.7181,
+      "step": 4683
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.084813110505871e-07,
+      "loss": 0.3484,
+      "step": 4684
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.065215675766023e-07,
+      "loss": 0.798,
+      "step": 4685
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.045655097978131e-07,
+      "loss": 0.3215,
+      "step": 4686
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.026131384736321e-07,
+      "loss": 0.7483,
+      "step": 4687
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.006644543620342e-07,
+      "loss": 0.8097,
+      "step": 4688
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.987194582195687e-07,
+      "loss": 0.7556,
+      "step": 4689
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.967781508013459e-07,
+      "loss": 0.308,
+      "step": 4690
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.948405328610506e-07,
+      "loss": 0.7865,
+      "step": 4691
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.929066051509346e-07,
+      "loss": 0.727,
+      "step": 4692
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.909763684218116e-07,
+      "loss": 0.7835,
+      "step": 4693
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.890498234230689e-07,
+      "loss": 0.7807,
+      "step": 4694
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.871269709026561e-07,
+      "loss": 0.771,
+      "step": 4695
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.852078116070902e-07,
+      "loss": 0.7506,
+      "step": 4696
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.832923462814565e-07,
+      "loss": 0.7303,
+      "step": 4697
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.813805756694035e-07,
+      "loss": 0.7661,
+      "step": 4698
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.794725005131462e-07,
+      "loss": 0.7934,
+      "step": 4699
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.775681215534656e-07,
+      "loss": 0.7644,
+      "step": 4700
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.7566743952970894e-07,
+      "loss": 0.7977,
+      "step": 4701
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.7377045517978173e-07,
+      "loss": 0.3378,
+      "step": 4702
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.7187716924016355e-07,
+      "loss": 0.8001,
+      "step": 4703
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 4.6998758244588995e-07,
+      "loss": 0.8309,
+      "step": 4704
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6810169553056616e-07,
+      "loss": 0.7377,
+      "step": 4705
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.662195092263566e-07,
+      "loss": 0.321,
+      "step": 4706
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.643410242639912e-07,
+      "loss": 0.7528,
+      "step": 4707
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.6246624137276206e-07,
+      "loss": 0.7633,
+      "step": 4708
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.605951612805237e-07,
+      "loss": 0.7513,
+      "step": 4709
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.587277847136984e-07,
+      "loss": 0.3168,
+      "step": 4710
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.568641123972606e-07,
+      "loss": 0.8169,
+      "step": 4711
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.550041450547549e-07,
+      "loss": 0.8028,
+      "step": 4712
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.5314788340828365e-07,
+      "loss": 0.8509,
+      "step": 4713
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.512953281785104e-07,
+      "loss": 0.754,
+      "step": 4714
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.494464800846654e-07,
+      "loss": 0.7992,
+      "step": 4715
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.476013398445289e-07,
+      "loss": 0.7846,
+      "step": 4716
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4575990817445234e-07,
+      "loss": 0.3023,
+      "step": 4717
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4392218578934164e-07,
+      "loss": 0.8225,
+      "step": 4718
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4208817340266385e-07,
+      "loss": 0.7476,
+      "step": 4719
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.4025787172644495e-07,
+      "loss": 0.8389,
+      "step": 4720
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.384312814712721e-07,
+      "loss": 0.712,
+      "step": 4721
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.366084033462914e-07,
+      "loss": 0.7002,
+      "step": 4722
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.3478923805920335e-07,
+      "loss": 0.867,
+      "step": 4723
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.329737863162753e-07,
+      "loss": 0.7673,
+      "step": 4724
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.311620488223256e-07,
+      "loss": 0.7564,
+      "step": 4725
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2935402628073166e-07,
+      "loss": 0.7507,
+      "step": 4726
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.27549719393433e-07,
+      "loss": 0.7682,
+      "step": 4727
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.2574912886092166e-07,
+      "loss": 0.8012,
+      "step": 4728
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.239522553822495e-07,
+      "loss": 0.7661,
+      "step": 4729
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.221590996550251e-07,
+      "loss": 0.7237,
+      "step": 4730
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.203696623754139e-07,
+      "loss": 0.8326,
+      "step": 4731
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1858394423813563e-07,
+      "loss": 0.7932,
+      "step": 4732
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1680194593646696e-07,
+      "loss": 0.7174,
+      "step": 4733
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1502366816224327e-07,
+      "loss": 0.7572,
+      "step": 4734
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1324911160585014e-07,
+      "loss": 0.8057,
+      "step": 4735
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.1147827695623643e-07,
+      "loss": 0.7916,
+      "step": 4736
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.097111649008967e-07,
+      "loss": 0.8328,
+      "step": 4737
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.0794777612588543e-07,
+      "loss": 0.3176,
+      "step": 4738
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.061881113158117e-07,
+      "loss": 0.7512,
+      "step": 4739
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.044321711538368e-07,
+      "loss": 0.8184,
+      "step": 4740
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.02679956321681e-07,
+      "loss": 0.76,
+      "step": 4741
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.00931467499609e-07,
+      "loss": 0.7902,
+      "step": 4742
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9918670536644776e-07,
+      "loss": 0.7168,
+      "step": 4743
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.974456705995733e-07,
+      "loss": 0.7725,
+      "step": 4744
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9570836387491487e-07,
+      "loss": 0.7464,
+      "step": 4745
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9397478586695513e-07,
+      "loss": 0.7955,
+      "step": 4746
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.9224493724872915e-07,
+      "loss": 0.7911,
+      "step": 4747
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.90518818691823e-07,
+      "loss": 0.7152,
+      "step": 4748
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8879643086637384e-07,
+      "loss": 0.8073,
+      "step": 4749
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8707777444107697e-07,
+      "loss": 0.8113,
+      "step": 4750
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8536285008316854e-07,
+      "loss": 0.8099,
+      "step": 4751
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8365165845844266e-07,
+      "loss": 0.7752,
+      "step": 4752
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.819442002312457e-07,
+      "loss": 0.3545,
+      "step": 4753
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.8024047606446736e-07,
+      "loss": 0.7592,
+      "step": 4754
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.785404866195552e-07,
+      "loss": 0.7525,
+      "step": 4755
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 3.768442325565036e-07,
+      "loss": 0.7998,
+      "step": 4756
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.751517145338546e-07,
+      "loss": 0.8352,
+      "step": 4757
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.7346293320870363e-07,
+      "loss": 0.7468,
+      "step": 4758
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.717778892366941e-07,
+      "loss": 0.7576,
+      "step": 4759
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.700965832720171e-07,
+      "loss": 0.8014,
+      "step": 4760
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.684190159674117e-07,
+      "loss": 0.7661,
+      "step": 4761
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6674518797417236e-07,
+      "loss": 0.8309,
+      "step": 4762
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6507509994213155e-07,
+      "loss": 0.7376,
+      "step": 4763
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6340875251967946e-07,
+      "loss": 0.7447,
+      "step": 4764
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.617461463537464e-07,
+      "loss": 0.759,
+      "step": 4765
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.6008728208981157e-07,
+      "loss": 0.7817,
+      "step": 4766
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5843216037190873e-07,
+      "loss": 0.8254,
+      "step": 4767
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5678078184260834e-07,
+      "loss": 0.7809,
+      "step": 4768
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5513314714303524e-07,
+      "loss": 0.7279,
+      "step": 4769
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.5348925691285675e-07,
+      "loss": 0.728,
+      "step": 4770
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.518491117902878e-07,
+      "loss": 0.8196,
+      "step": 4771
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.502127124120891e-07,
+      "loss": 0.8078,
+      "step": 4772
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.48580059413568e-07,
+      "loss": 0.7294,
+      "step": 4773
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4695115342857524e-07,
+      "loss": 0.8046,
+      "step": 4774
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.4532599508950826e-07,
+      "loss": 0.766,
+      "step": 4775
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.437045850273113e-07,
+      "loss": 0.7794,
+      "step": 4776
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.420869238714708e-07,
+      "loss": 0.773,
+      "step": 4777
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.404730122500155e-07,
+      "loss": 0.7323,
+      "step": 4778
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3886285078952753e-07,
+      "loss": 0.7788,
+      "step": 4779
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3725644011512125e-07,
+      "loss": 0.7256,
+      "step": 4780
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.356537808504634e-07,
+      "loss": 0.8112,
+      "step": 4781
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3405487361776177e-07,
+      "loss": 0.7628,
+      "step": 4782
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.3245971903776654e-07,
+      "loss": 0.7666,
+      "step": 4783
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.308683177297711e-07,
+      "loss": 0.7159,
+      "step": 4784
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.292806703116125e-07,
+      "loss": 0.7119,
+      "step": 4785
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2769677739966975e-07,
+      "loss": 0.776,
+      "step": 4786
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2611663960886665e-07,
+      "loss": 0.7673,
+      "step": 4787
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.245402575526646e-07,
+      "loss": 0.7689,
+      "step": 4788
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2296763184306965e-07,
+      "loss": 0.7422,
+      "step": 4789
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.2139876309063233e-07,
+      "loss": 0.7089,
+      "step": 4790
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.198336519044376e-07,
+      "loss": 0.8113,
+      "step": 4791
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.182722988921161e-07,
+      "loss": 0.7598,
+      "step": 4792
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.167147046598418e-07,
+      "loss": 0.7609,
+      "step": 4793
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.151608698123232e-07,
+      "loss": 0.7778,
+      "step": 4794
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1361079495281443e-07,
+      "loss": 0.7923,
+      "step": 4795
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1206448068310635e-07,
+      "loss": 0.781,
+      "step": 4796
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.1052192760353316e-07,
+      "loss": 0.7584,
+      "step": 4797
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0898313631296586e-07,
+      "loss": 0.7908,
+      "step": 4798
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0744810740881646e-07,
+      "loss": 0.8217,
+      "step": 4799
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0591684148703617e-07,
+      "loss": 0.8004,
+      "step": 4800
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.043893391421149e-07,
+      "loss": 0.8229,
+      "step": 4801
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.0286560096708275e-07,
+      "loss": 0.7029,
+      "step": 4802
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 3.013456275535054e-07,
+      "loss": 0.8,
+      "step": 4803
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.998294194914897e-07,
+      "loss": 0.7877,
+      "step": 4804
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.983169773696815e-07,
+      "loss": 0.753,
+      "step": 4805
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.968083017752599e-07,
+      "loss": 0.8047,
+      "step": 4806
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.953033932939464e-07,
+      "loss": 0.809,
+      "step": 4807
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 2.938022525099982e-07,
+      "loss": 0.319,
+      "step": 4808
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.9230488000621003e-07,
+      "loss": 0.8324,
+      "step": 4809
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.908112763639137e-07,
+      "loss": 0.7746,
+      "step": 4810
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8932144216297643e-07,
+      "loss": 0.7415,
+      "step": 4811
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.878353779818044e-07,
+      "loss": 0.7525,
+      "step": 4812
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.863530843973372e-07,
+      "loss": 0.7498,
+      "step": 4813
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.848745619850546e-07,
+      "loss": 0.7997,
+      "step": 4814
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.833998113189662e-07,
+      "loss": 0.7774,
+      "step": 4815
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.8192883297162634e-07,
+      "loss": 0.7705,
+      "step": 4816
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.804616275141148e-07,
+      "loss": 0.7578,
+      "step": 4817
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7899819551605256e-07,
+      "loss": 0.7901,
+      "step": 4818
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7753853754559634e-07,
+      "loss": 0.7819,
+      "step": 4819
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.760826541694328e-07,
+      "loss": 0.7974,
+      "step": 4820
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.746305459527876e-07,
+      "loss": 0.7738,
+      "step": 4821
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7318221345941865e-07,
+      "loss": 0.8218,
+      "step": 4822
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.717376572516184e-07,
+      "loss": 0.3296,
+      "step": 4823
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.7029687789021377e-07,
+      "loss": 0.775,
+      "step": 4824
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.688598759345651e-07,
+      "loss": 0.7664,
+      "step": 4825
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.67426651942565e-07,
+      "loss": 0.7849,
+      "step": 4826
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.659972064706406e-07,
+      "loss": 0.7843,
+      "step": 4827
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.645715400737536e-07,
+      "loss": 0.81,
+      "step": 4828
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.631496533053934e-07,
+      "loss": 0.7414,
+      "step": 4829
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.6173154671758847e-07,
+      "loss": 0.7609,
+      "step": 4830
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.603172208608962e-07,
+      "loss": 0.7726,
+      "step": 4831
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.589066762844039e-07,
+      "loss": 0.8116,
+      "step": 4832
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.57499913535737e-07,
+      "loss": 0.7141,
+      "step": 4833
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5609693316104745e-07,
+      "loss": 0.7863,
+      "step": 4834
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5469773570502063e-07,
+      "loss": 0.7558,
+      "step": 4835
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5330232171087433e-07,
+      "loss": 0.7817,
+      "step": 4836
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.51910691720354e-07,
+      "loss": 0.7979,
+      "step": 4837
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.5052284627374077e-07,
+      "loss": 0.7717,
+      "step": 4838
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.491387859098426e-07,
+      "loss": 0.7787,
+      "step": 4839
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.477585111659997e-07,
+      "loss": 0.7681,
+      "step": 4840
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.463820225780811e-07,
+      "loss": 0.8053,
+      "step": 4841
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4500932068049046e-07,
+      "loss": 0.3308,
+      "step": 4842
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.4364040600615477e-07,
+      "loss": 0.7447,
+      "step": 4843
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.422752790865346e-07,
+      "loss": 0.8134,
+      "step": 4844
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.409139404516203e-07,
+      "loss": 0.8138,
+      "step": 4845
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3955639062992696e-07,
+      "loss": 0.7324,
+      "step": 4846
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3820263014850741e-07,
+      "loss": 0.7751,
+      "step": 4847
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3685265953293345e-07,
+      "loss": 0.8034,
+      "step": 4848
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3550647930731362e-07,
+      "loss": 0.7614,
+      "step": 4849
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3416408999427876e-07,
+      "loss": 0.7755,
+      "step": 4850
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3282549211499307e-07,
+      "loss": 0.7979,
+      "step": 4851
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3149068618914417e-07,
+      "loss": 0.3563,
+      "step": 4852
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.3015967273494867e-07,
+      "loss": 0.8517,
+      "step": 4853
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2883245226915652e-07,
+      "loss": 0.7004,
+      "step": 4854
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2750902530703667e-07,
+      "loss": 0.7861,
+      "step": 4855
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2618939236238924e-07,
+      "loss": 0.8061,
+      "step": 4856
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2487355394754328e-07,
+      "loss": 0.7944,
+      "step": 4857
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2356151057334908e-07,
+      "loss": 0.8067,
+      "step": 4858
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.2225326274919135e-07,
+      "loss": 0.803,
+      "step": 4859
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 2.209488109829727e-07,
+      "loss": 0.7425,
+      "step": 4860
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.196481557811303e-07,
+      "loss": 0.7469,
+      "step": 4861
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1835129764861907e-07,
+      "loss": 0.7945,
+      "step": 4862
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1705823708892737e-07,
+      "loss": 0.7744,
+      "step": 4863
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1576897460406477e-07,
+      "loss": 0.7633,
+      "step": 4864
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.144835106945664e-07,
+      "loss": 0.7393,
+      "step": 4865
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.1320184585949532e-07,
+      "loss": 0.8053,
+      "step": 4866
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.119239805964357e-07,
+      "loss": 0.7525,
+      "step": 4867
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.106499154015018e-07,
+      "loss": 0.8244,
+      "step": 4868
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0937965076932576e-07,
+      "loss": 0.8145,
+      "step": 4869
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0811318719307194e-07,
+      "loss": 0.7979,
+      "step": 4870
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0685052516442373e-07,
+      "loss": 0.7782,
+      "step": 4871
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0559166517358787e-07,
+      "loss": 0.7605,
+      "step": 4872
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0433660770930009e-07,
+      "loss": 0.7847,
+      "step": 4873
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0308535325881616e-07,
+      "loss": 0.7688,
+      "step": 4874
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0183790230791532e-07,
+      "loss": 0.8464,
+      "step": 4875
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 2.0059425534090128e-07,
+      "loss": 0.8196,
+      "step": 4876
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9935441284059998e-07,
+      "loss": 0.8344,
+      "step": 4877
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.981183752883631e-07,
+      "loss": 0.7893,
+      "step": 4878
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9688614316406006e-07,
+      "loss": 0.7158,
+      "step": 4879
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9565771694608937e-07,
+      "loss": 0.3678,
+      "step": 4880
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9443309711136393e-07,
+      "loss": 0.8121,
+      "step": 4881
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9321228413532788e-07,
+      "loss": 0.7483,
+      "step": 4882
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.9199527849194098e-07,
+      "loss": 0.7999,
+      "step": 4883
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.907820806536842e-07,
+      "loss": 0.8085,
+      "step": 4884
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.895726910915663e-07,
+      "loss": 0.7313,
+      "step": 4885
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.883671102751128e-07,
+      "loss": 0.3145,
+      "step": 4886
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8716533867237153e-07,
+      "loss": 0.7498,
+      "step": 4887
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.859673767499115e-07,
+      "loss": 0.7044,
+      "step": 4888
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.847732249728218e-07,
+      "loss": 0.8269,
+      "step": 4889
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.83582883804716e-07,
+      "loss": 0.3543,
+      "step": 4890
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8239635370772223e-07,
+      "loss": 0.3515,
+      "step": 4891
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8121363514249534e-07,
+      "loss": 0.7794,
+      "step": 4892
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.8003472856820469e-07,
+      "loss": 0.7802,
+      "step": 4893
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7885963444254528e-07,
+      "loss": 0.7683,
+      "step": 4894
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7768835322172552e-07,
+      "loss": 0.8141,
+      "step": 4895
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7652088536048052e-07,
+      "loss": 0.3031,
+      "step": 4896
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7535723131206106e-07,
+      "loss": 0.7418,
+      "step": 4897
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7419739152823468e-07,
+      "loss": 0.7497,
+      "step": 4898
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7304136645929448e-07,
+      "loss": 0.7935,
+      "step": 4899
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.7188915655404814e-07,
+      "loss": 0.8132,
+      "step": 4900
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.707407622598223e-07,
+      "loss": 0.7455,
+      "step": 4901
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.695961840224636e-07,
+      "loss": 0.8142,
+      "step": 4902
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6845542228633772e-07,
+      "loss": 0.7725,
+      "step": 4903
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6731847749432705e-07,
+      "loss": 0.7863,
+      "step": 4904
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6618535008783075e-07,
+      "loss": 0.7848,
+      "step": 4905
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6505604050677249e-07,
+      "loss": 0.8508,
+      "step": 4906
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6393054918958373e-07,
+      "loss": 0.7571,
+      "step": 4907
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6280887657322276e-07,
+      "loss": 0.7965,
+      "step": 4908
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.616910230931612e-07,
+      "loss": 0.7902,
+      "step": 4909
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.6057698918338526e-07,
+      "loss": 0.8165,
+      "step": 4910
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.5946677527640563e-07,
+      "loss": 0.7892,
+      "step": 4911
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 1.5836038180324198e-07,
+      "loss": 0.753,
+      "step": 4912
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5725780919343624e-07,
+      "loss": 0.7841,
+      "step": 4913
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.561590578750438e-07,
+      "loss": 0.7382,
+      "step": 4914
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.55064128274639e-07,
+      "loss": 0.847,
+      "step": 4915
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5397302081731069e-07,
+      "loss": 0.7029,
+      "step": 4916
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5288573592666445e-07,
+      "loss": 0.7516,
+      "step": 4917
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.518022740248215e-07,
+      "loss": 0.7637,
+      "step": 4918
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.5072263553241872e-07,
+      "loss": 0.7952,
+      "step": 4919
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4964682086861082e-07,
+      "loss": 0.7638,
+      "step": 4920
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4857483045106258e-07,
+      "loss": 0.7868,
+      "step": 4921
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.475066646959611e-07,
+      "loss": 0.8322,
+      "step": 4922
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4644232401800352e-07,
+      "loss": 0.7735,
+      "step": 4923
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4538180883040264e-07,
+      "loss": 0.7985,
+      "step": 4924
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4432511954488915e-07,
+      "loss": 0.7705,
+      "step": 4925
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4327225657170485e-07,
+      "loss": 0.7918,
+      "step": 4926
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4222322031960723e-07,
+      "loss": 0.7977,
+      "step": 4927
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.411780111958694e-07,
+      "loss": 0.3152,
+      "step": 4928
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.4013662960627562e-07,
+      "loss": 0.8083,
+      "step": 4929
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3909907595512806e-07,
+      "loss": 0.7866,
+      "step": 4930
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3806535064524006e-07,
+      "loss": 0.791,
+      "step": 4931
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3703545407793951e-07,
+      "loss": 0.7801,
+      "step": 4932
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.360093866530665e-07,
+      "loss": 0.7897,
+      "step": 4933
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.34987148768978e-07,
+      "loss": 0.7883,
+      "step": 4934
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3396874082253986e-07,
+      "loss": 0.7906,
+      "step": 4935
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3295416320913357e-07,
+      "loss": 0.7751,
+      "step": 4936
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3194341632265518e-07,
+      "loss": 0.7536,
+      "step": 4937
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3093650055550855e-07,
+      "loss": 0.7391,
+      "step": 4938
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2993341629861432e-07,
+      "loss": 0.8062,
+      "step": 4939
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2893416394140323e-07,
+      "loss": 0.7912,
+      "step": 4940
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.279387438718216e-07,
+      "loss": 0.8047,
+      "step": 4941
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.269471564763247e-07,
+      "loss": 0.7543,
+      "step": 4942
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2595940213988024e-07,
+      "loss": 0.7789,
+      "step": 4943
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2497548124597026e-07,
+      "loss": 0.8504,
+      "step": 4944
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2399539417658368e-07,
+      "loss": 0.7588,
+      "step": 4945
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2301914131222726e-07,
+      "loss": 0.7816,
+      "step": 4946
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2204672303191335e-07,
+      "loss": 0.8016,
+      "step": 4947
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.2107813971317106e-07,
+      "loss": 0.8024,
+      "step": 4948
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.201133917320363e-07,
+      "loss": 0.7781,
+      "step": 4949
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1915247946305498e-07,
+      "loss": 0.7359,
+      "step": 4950
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1819540327929092e-07,
+      "loss": 0.8006,
+      "step": 4951
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1724216355231022e-07,
+      "loss": 0.7498,
+      "step": 4952
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1629276065219575e-07,
+      "loss": 0.791,
+      "step": 4953
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1534719494753821e-07,
+      "loss": 0.7842,
+      "step": 4954
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.144054668054373e-07,
+      "loss": 0.8354,
+      "step": 4955
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1346757659150498e-07,
+      "loss": 0.7642,
+      "step": 4956
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1253352466986334e-07,
+      "loss": 0.8055,
+      "step": 4957
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.116033114031434e-07,
+      "loss": 0.7482,
+      "step": 4958
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.1067693715248406e-07,
+      "loss": 0.8037,
+      "step": 4959
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0975440227753764e-07,
+      "loss": 0.7895,
+      "step": 4960
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0883570713646318e-07,
+      "loss": 0.704,
+      "step": 4961
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0792085208593095e-07,
+      "loss": 0.7796,
+      "step": 4962
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.0700983748111792e-07,
+      "loss": 0.7526,
+      "step": 4963
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.061026636757101e-07,
+      "loss": 0.7581,
+      "step": 4964
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0519933102190682e-07,
+      "loss": 0.7157,
+      "step": 4965
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0429983987041092e-07,
+      "loss": 0.7795,
+      "step": 4966
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0340419057043527e-07,
+      "loss": 0.7719,
+      "step": 4967
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0251238346970393e-07,
+      "loss": 0.783,
+      "step": 4968
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.0162441891444441e-07,
+      "loss": 0.7548,
+      "step": 4969
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 1.007402972493976e-07,
+      "loss": 0.815,
+      "step": 4970
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.986001881780783e-08,
+      "loss": 0.7537,
+      "step": 4971
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.898358396143171e-08,
+      "loss": 0.7711,
+      "step": 4972
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.811099302052928e-08,
+      "loss": 0.7978,
+      "step": 4973
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.72422463338718e-08,
+      "loss": 0.3314,
+      "step": 4974
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.637734423873612e-08,
+      "loss": 0.7934,
+      "step": 4975
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.55162870709081e-08,
+      "loss": 0.8214,
+      "step": 4976
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.465907516467698e-08,
+      "loss": 0.7686,
+      "step": 4977
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.380570885284546e-08,
+      "loss": 0.7827,
+      "step": 4978
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.295618846671739e-08,
+      "loss": 0.7954,
+      "step": 4979
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.211051433610674e-08,
+      "loss": 0.8246,
+      "step": 4980
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.126868678933198e-08,
+      "loss": 0.8108,
+      "step": 4981
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 9.04307061532217e-08,
+      "loss": 0.7504,
+      "step": 4982
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.959657275310674e-08,
+      "loss": 0.7777,
+      "step": 4983
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.876628691282918e-08,
+      "loss": 0.7774,
+      "step": 4984
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.793984895473117e-08,
+      "loss": 0.8369,
+      "step": 4985
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.711725919966718e-08,
+      "loss": 0.3024,
+      "step": 4986
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.629851796699284e-08,
+      "loss": 0.8256,
+      "step": 4987
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.54836255745728e-08,
+      "loss": 0.7069,
+      "step": 4988
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.467258233877728e-08,
+      "loss": 0.7716,
+      "step": 4989
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.386538857447779e-08,
+      "loss": 0.8005,
+      "step": 4990
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.306204459505807e-08,
+      "loss": 0.7707,
+      "step": 4991
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.226255071240308e-08,
+      "loss": 0.7854,
+      "step": 4992
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.146690723690342e-08,
+      "loss": 0.7997,
+      "step": 4993
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 8.067511447745535e-08,
+      "loss": 0.7456,
+      "step": 4994
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.988717274146074e-08,
+      "loss": 0.3531,
+      "step": 4995
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.910308233482488e-08,
+      "loss": 0.7839,
+      "step": 4996
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.832284356195764e-08,
+      "loss": 0.7759,
+      "step": 4997
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.754645672577776e-08,
+      "loss": 0.8042,
+      "step": 4998
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.677392212770196e-08,
+      "loss": 0.7802,
+      "step": 4999
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.600524006765808e-08,
+      "loss": 0.757,
+      "step": 5000
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.524041084407185e-08,
+      "loss": 0.8115,
+      "step": 5001
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.447943475387797e-08,
+      "loss": 0.7502,
+      "step": 5002
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.372231209251346e-08,
+      "loss": 0.7328,
+      "step": 5003
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.296904315391873e-08,
+      "loss": 0.7872,
+      "step": 5004
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.221962823053874e-08,
+      "loss": 0.7843,
+      "step": 5005
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.147406761332298e-08,
+      "loss": 0.7811,
+      "step": 5006
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.073236159172325e-08,
+      "loss": 0.7626,
+      "step": 5007
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.999451045369587e-08,
+      "loss": 0.8212,
+      "step": 5008
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.926051448569948e-08,
+      "loss": 0.7451,
+      "step": 5009
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.853037397269724e-08,
+      "loss": 0.8964,
+      "step": 5010
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.78040891981524e-08,
+      "loss": 0.7941,
+      "step": 5011
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.70816604440383e-08,
+      "loss": 0.776,
+      "step": 5012
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.63630879908217e-08,
+      "loss": 0.7918,
+      "step": 5013
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.564837211748054e-08,
+      "loss": 0.3215,
+      "step": 5014
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.493751310149177e-08,
+      "loss": 0.7911,
+      "step": 5015
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 6.42305112188335e-08,
+      "loss": 0.7648,
+      "step": 5016
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.352736674398951e-08,
+      "loss": 0.8593,
+      "step": 5017
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.282807994994477e-08,
+      "loss": 0.7622,
+      "step": 5018
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.213265110818656e-08,
+      "loss": 0.763,
+      "step": 5019
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.144108048870335e-08,
+      "loss": 0.755,
+      "step": 5020
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.075336835998813e-08,
+      "loss": 0.7876,
+      "step": 5021
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 6.00695149890329e-08,
+      "loss": 0.778,
+      "step": 5022
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.938952064133419e-08,
+      "loss": 0.7503,
+      "step": 5023
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.871338558088857e-08,
+      "loss": 0.7597,
+      "step": 5024
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.8041110070194976e-08,
+      "loss": 0.8277,
+      "step": 5025
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.7372694370254614e-08,
+      "loss": 0.8029,
+      "step": 5026
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.67081387405688e-08,
+      "loss": 0.7929,
+      "step": 5027
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.6047443439141146e-08,
+      "loss": 0.7463,
+      "step": 5028
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.539060872247537e-08,
+      "loss": 0.794,
+      "step": 5029
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.47376348455797e-08,
+      "loss": 0.7351,
+      "step": 5030
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.408852206195914e-08,
+      "loss": 0.7813,
+      "step": 5031
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.344327062362098e-08,
+      "loss": 0.298,
+      "step": 5032
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.2801880781075954e-08,
+      "loss": 0.7826,
+      "step": 5033
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.216435278333376e-08,
+      "loss": 0.7558,
+      "step": 5034
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.153068687790197e-08,
+      "loss": 0.7787,
+      "step": 5035
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.0900883310794903e-08,
+      "loss": 0.7776,
+      "step": 5036
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 5.0274942326521414e-08,
+      "loss": 0.7893,
+      "step": 5037
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.9652864168096e-08,
+      "loss": 0.7471,
+      "step": 5038
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.9034649077027706e-08,
+      "loss": 0.7523,
+      "step": 5039
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.84202972933312e-08,
+      "loss": 0.7831,
+      "step": 5040
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.7809809055517906e-08,
+      "loss": 0.7836,
+      "step": 5041
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.720318460060047e-08,
+      "loss": 0.7797,
+      "step": 5042
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.6600424164091606e-08,
+      "loss": 0.8039,
+      "step": 5043
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.6001527980004125e-08,
+      "loss": 0.7815,
+      "step": 5044
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.54064962808487e-08,
+      "loss": 0.8214,
+      "step": 5045
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.4815329297639434e-08,
+      "loss": 0.8053,
+      "step": 5046
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.422802725988606e-08,
+      "loss": 0.8023,
+      "step": 5047
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.364459039559843e-08,
+      "loss": 0.7641,
+      "step": 5048
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.3065018931289784e-08,
+      "loss": 0.7587,
+      "step": 5049
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.248931309196791e-08,
+      "loss": 0.8018,
+      "step": 5050
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.1917473101140696e-08,
+      "loss": 0.761,
+      "step": 5051
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.134949918081832e-08,
+      "loss": 0.8251,
+      "step": 5052
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.0785391551506626e-08,
+      "loss": 0.7852,
+      "step": 5053
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 4.022515043221154e-08,
+      "loss": 0.8021,
+      "step": 5054
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.966877604043795e-08,
+      "loss": 0.7524,
+      "step": 5055
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.9116268592189755e-08,
+      "loss": 0.7843,
+      "step": 5056
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.8567628301969806e-08,
+      "loss": 0.8077,
+      "step": 5057
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.802285538277772e-08,
+      "loss": 0.7852,
+      "step": 5058
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.748195004611543e-08,
+      "loss": 0.7573,
+      "step": 5059
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.69449125019794e-08,
+      "loss": 0.7238,
+      "step": 5060
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.6411742958866184e-08,
+      "loss": 0.7763,
+      "step": 5061
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.588244162377019e-08,
+      "loss": 0.841,
+      "step": 5062
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.5357008702185945e-08,
+      "loss": 0.809,
+      "step": 5063
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.483544439810249e-08,
+      "loss": 0.7887,
+      "step": 5064
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.4317748914011187e-08,
+      "loss": 0.7575,
+      "step": 5065
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.3803922450897917e-08,
+      "loss": 0.8222,
+      "step": 5066
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.329396520824757e-08,
+      "loss": 0.7479,
+      "step": 5067
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 3.2787877384045095e-08,
+      "loss": 0.7977,
+      "step": 5068
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.228565917476889e-08,
+      "loss": 0.8308,
+      "step": 5069
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.178731077539743e-08,
+      "loss": 0.8082,
+      "step": 5070
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.129283237940928e-08,
+      "loss": 0.7731,
+      "step": 5071
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.080222417877421e-08,
+      "loss": 0.8166,
+      "step": 5072
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 3.031548636396764e-08,
+      "loss": 0.7988,
+      "step": 5073
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.983261912395397e-08,
+      "loss": 0.7657,
+      "step": 5074
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.9353622646199898e-08,
+      "loss": 0.7936,
+      "step": 5075
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8878497116671124e-08,
+      "loss": 0.777,
+      "step": 5076
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.8407242719823424e-08,
+      "loss": 0.3493,
+      "step": 5077
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7939859638617118e-08,
+      "loss": 0.8015,
+      "step": 5078
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7476348054504832e-08,
+      "loss": 0.7911,
+      "step": 5079
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.7016708147439285e-08,
+      "loss": 0.7613,
+      "step": 5080
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.6560940095866626e-08,
+      "loss": 0.7917,
+      "step": 5081
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.6109044076733092e-08,
+      "loss": 0.7677,
+      "step": 5082
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.5661020265479452e-08,
+      "loss": 0.8213,
+      "step": 5083
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.5216868836043242e-08,
+      "loss": 0.8299,
+      "step": 5084
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.4776589960862074e-08,
+      "loss": 0.8371,
+      "step": 5085
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.434018381086589e-08,
+      "loss": 0.738,
+      "step": 5086
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.3907650555481387e-08,
+      "loss": 0.7412,
+      "step": 5087
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.3478990362634235e-08,
+      "loss": 0.7315,
+      "step": 5088
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.3054203398743537e-08,
+      "loss": 0.8007,
+      "step": 5089
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.263328982872959e-08,
+      "loss": 0.776,
+      "step": 5090
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.221624981600168e-08,
+      "loss": 0.7666,
+      "step": 5091
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1803083522471402e-08,
+      "loss": 0.7336,
+      "step": 5092
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.1393791108542672e-08,
+      "loss": 0.7571,
+      "step": 5093
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.098837273311838e-08,
+      "loss": 0.7966,
+      "step": 5094
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.058682855359595e-08,
+      "loss": 0.7675,
+      "step": 5095
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 2.0189158725867353e-08,
+      "loss": 0.7445,
+      "step": 5096
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.979536340432131e-08,
+      "loss": 0.8445,
+      "step": 5097
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9405442741844415e-08,
+      "loss": 0.8182,
+      "step": 5098
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.9019396889816688e-08,
+      "loss": 0.7823,
+      "step": 5099
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.8637225998114904e-08,
+      "loss": 0.8037,
+      "step": 5100
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.825893021510927e-08,
+      "loss": 0.7856,
+      "step": 5101
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7884509687668972e-08,
+      "loss": 0.8065,
+      "step": 5102
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.7513964561156617e-08,
+      "loss": 0.8187,
+      "step": 5103
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.714729497942935e-08,
+      "loss": 0.872,
+      "step": 5104
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6784501084843307e-08,
+      "loss": 0.7713,
+      "step": 5105
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.6425583018244706e-08,
+      "loss": 0.7564,
+      "step": 5106
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.607054091897986e-08,
+      "loss": 0.8289,
+      "step": 5107
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.57193749248874e-08,
+      "loss": 0.7287,
+      "step": 5108
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.537208517230271e-08,
+      "loss": 0.8005,
+      "step": 5109
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.5028671796055715e-08,
+      "loss": 0.7375,
+      "step": 5110
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4689134929470884e-08,
+      "loss": 0.8637,
+      "step": 5111
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.435347470436832e-08,
+      "loss": 0.7949,
+      "step": 5112
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.4021691251062675e-08,
+      "loss": 0.7289,
+      "step": 5113
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3693784698363133e-08,
+      "loss": 0.7793,
+      "step": 5114
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3369755173575639e-08,
+      "loss": 0.361,
+      "step": 5115
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.3049602802498451e-08,
+      "loss": 0.7916,
+      "step": 5116
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.273332770942659e-08,
+      "loss": 0.7643,
+      "step": 5117
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2420930017148503e-08,
+      "loss": 0.7577,
+      "step": 5118
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2112409846947171e-08,
+      "loss": 0.7774,
+      "step": 5119
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.1807767318602337e-08,
+      "loss": 0.8365,
+      "step": 5120
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.150700255038606e-08,
+      "loss": 0.735,
+      "step": 5121
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.1210115659063825e-08,
+      "loss": 0.7619,
+      "step": 5122
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0917106759900097e-08,
+      "loss": 0.7516,
+      "step": 5123
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0627975966649439e-08,
+      "loss": 0.7196,
+      "step": 5124
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.034272339156206e-08,
+      "loss": 0.7975,
+      "step": 5125
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.0061349145383814e-08,
+      "loss": 0.825,
+      "step": 5126
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.783853337353987e-09,
+      "loss": 0.7951,
+      "step": 5127
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.510236075205292e-09,
+      "loss": 0.8206,
+      "step": 5128
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 9.240497465164978e-09,
+      "loss": 0.7899,
+      "step": 5129
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.974637611955939e-09,
+      "loss": 0.7474,
+      "step": 5130
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.712656618793391e-09,
+      "loss": 0.7948,
+      "step": 5131
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.454554587388198e-09,
+      "loss": 0.7855,
+      "step": 5132
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 8.200331617943535e-09,
+      "loss": 0.8073,
+      "step": 5133
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.949987809158232e-09,
+      "loss": 0.7726,
+      "step": 5134
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.703523258223433e-09,
+      "loss": 0.8384,
+      "step": 5135
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.460938060825929e-09,
+      "loss": 0.8411,
+      "step": 5136
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 7.222232311145938e-09,
+      "loss": 0.7623,
+      "step": 5137
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.987406101855998e-09,
+      "loss": 0.7794,
+      "step": 5138
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.756459524125403e-09,
+      "loss": 0.8793,
+      "step": 5139
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.5293926676135434e-09,
+      "loss": 0.7493,
+      "step": 5140
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.306205620477679e-09,
+      "loss": 0.7696,
+      "step": 5141
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.086898469365166e-09,
+      "loss": 0.8119,
+      "step": 5142
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.871471299419007e-09,
+      "loss": 0.7994,
+      "step": 5143
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.6599241942767445e-09,
+      "loss": 0.7961,
+      "step": 5144
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.452257236066017e-09,
+      "loss": 0.8057,
+      "step": 5145
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.248470505412328e-09,
+      "loss": 0.7306,
+      "step": 5146
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 5.0485640814312844e-09,
+      "loss": 0.7858,
+      "step": 5147
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.8525380417330234e-09,
+      "loss": 0.7563,
+      "step": 5148
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.660392462424446e-09,
+      "loss": 0.7855,
+      "step": 5149
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.472127418099215e-09,
+      "loss": 0.8031,
+      "step": 5150
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.287742981851084e-09,
+      "loss": 0.7065,
+      "step": 5151
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 4.1072392252639034e-09,
+      "loss": 0.7137,
+      "step": 5152
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.930616218414951e-09,
+      "loss": 0.8034,
+      "step": 5153
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.757874029874931e-09,
+      "loss": 0.7856,
+      "step": 5154
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.5890127267090844e-09,
+      "loss": 0.7837,
+      "step": 5155
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.424032374476083e-09,
+      "loss": 0.8094,
+      "step": 5156
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.2629330372246915e-09,
+      "loss": 0.7264,
+      "step": 5157
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 3.105714777501545e-09,
+      "loss": 0.7431,
+      "step": 5158
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.9523776563422644e-09,
+      "loss": 0.787,
+      "step": 5159
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.802921733278119e-09,
+      "loss": 0.7704,
+      "step": 5160
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.657347066333804e-09,
+      "loss": 0.6879,
+      "step": 5161
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.5156537120263335e-09,
+      "loss": 0.7915,
+      "step": 5162
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.3778417253650376e-09,
+      "loss": 0.812,
+      "step": 5163
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.2439111598537844e-09,
+      "loss": 0.3307,
+      "step": 5164
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 2.113862067488759e-09,
+      "loss": 0.7678,
+      "step": 5165
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.987694498760684e-09,
+      "loss": 0.8352,
+      "step": 5166
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.865408502650379e-09,
+      "loss": 0.8108,
+      "step": 5167
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.747004126635421e-09,
+      "loss": 0.7452,
+      "step": 5168
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.6324814166823744e-09,
+      "loss": 0.753,
+      "step": 5169
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.5218404172545609e-09,
+      "loss": 0.7609,
+      "step": 5170
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.415081171305399e-09,
+      "loss": 0.7529,
+      "step": 5171
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 1.3122037202828452e-09,
+      "loss": 0.7568,
+      "step": 5172
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.2132081041282829e-09,
+      "loss": 0.8073,
+      "step": 5173
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.1180943612754124e-09,
+      "loss": 0.758,
+      "step": 5174
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.026862528649142e-09,
+      "loss": 0.7655,
+      "step": 5175
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.39512641668916e-10,
+      "loss": 0.7419,
+      "step": 5176
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 8.560447342487177e-10,
+      "loss": 0.7712,
+      "step": 5177
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.764588387915161e-10,
+      "loss": 0.7856,
+      "step": 5178
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.007549861970387e-10,
+      "loss": 0.7959,
+      "step": 5179
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.289332058551089e-10,
+      "loss": 0.736,
+      "step": 5180
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 5.609935256500887e-10,
+      "loss": 0.7979,
+      "step": 5181
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.969359719586563e-10,
+      "loss": 0.8207,
+      "step": 5182
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.3676056964869764e-10,
+      "loss": 0.8366,
+      "step": 5183
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.804673420837457e-10,
+      "loss": 0.7858,
+      "step": 5184
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.2805631111743064e-10,
+      "loss": 0.7668,
+      "step": 5185
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.795274971001405e-10,
+      "loss": 0.8411,
+      "step": 5186
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 2.3488091886902933e-10,
+      "loss": 0.7782,
+      "step": 5187
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.941165937602296e-10,
+      "loss": 0.7756,
+      "step": 5188
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.5723453759886042e-10,
+      "loss": 0.7614,
+      "step": 5189
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.2423476470346808e-10,
+      "loss": 0.826,
+      "step": 5190
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 9.511728788602625e-11,
+      "loss": 0.291,
+      "step": 5191
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.988211845082582e-11,
+      "loss": 0.8059,
+      "step": 5192
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 4.852926619447473e-11,
+      "loss": 0.8687,
+      "step": 5193
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 3.105873940811854e-11,
+      "loss": 0.8035,
+      "step": 5194
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.7470544874109706e-11,
+      "loss": 0.7641,
+      "step": 5195
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 7.764687866007592e-12,
+      "loss": 0.8132,
+      "step": 5196
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 1.9411721552398123e-12,
+      "loss": 0.5556,
+      "step": 5197
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 0.0,
+      "loss": 0.4457,
+      "step": 5198
+    },
+    {
+      "epoch": 1.0,
+      "step": 5198,
+      "total_flos": 2471569530257408.0,
+      "train_loss": 0.8072160414465577,
+      "train_runtime": 40407.904,
+      "train_samples_per_second": 16.465,
+      "train_steps_per_second": 0.129
+    }
+  ],
+  "logging_steps": 1.0,
+  "max_steps": 5198,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50000,
+  "total_flos": 2471569530257408.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}