yuanhuaisen's picture
Upload folder using huggingface_hub
b8f6064
{
"best_metric": 0.18480469286441803,
"best_model_checkpoint": "/tmp/model/checkpoint-87",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 87,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 0.0,
"loss": 0.6934,
"step": 1
},
{
"epoch": 0.07,
"learning_rate": 5.555555555555556e-06,
"loss": 0.6934,
"step": 2
},
{
"epoch": 0.1,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.6934,
"step": 3
},
{
"epoch": 0.14,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.6931,
"step": 4
},
{
"epoch": 0.17,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.6923,
"step": 5
},
{
"epoch": 0.21,
"learning_rate": 2.777777777777778e-05,
"loss": 0.694,
"step": 6
},
{
"epoch": 0.24,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.6877,
"step": 7
},
{
"epoch": 0.28,
"learning_rate": 3.888888888888889e-05,
"loss": 0.688,
"step": 8
},
{
"epoch": 0.31,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.6873,
"step": 9
},
{
"epoch": 0.34,
"learning_rate": 5e-05,
"loss": 0.6959,
"step": 10
},
{
"epoch": 0.38,
"learning_rate": 4.935897435897436e-05,
"loss": 0.6808,
"step": 11
},
{
"epoch": 0.41,
"learning_rate": 4.871794871794872e-05,
"loss": 0.6835,
"step": 12
},
{
"epoch": 0.45,
"learning_rate": 4.8076923076923084e-05,
"loss": 0.6755,
"step": 13
},
{
"epoch": 0.48,
"learning_rate": 4.7435897435897435e-05,
"loss": 0.684,
"step": 14
},
{
"epoch": 0.52,
"learning_rate": 4.67948717948718e-05,
"loss": 0.6845,
"step": 15
},
{
"epoch": 0.55,
"learning_rate": 4.615384615384616e-05,
"loss": 0.6609,
"step": 16
},
{
"epoch": 0.59,
"learning_rate": 4.5512820512820516e-05,
"loss": 0.6962,
"step": 17
},
{
"epoch": 0.62,
"learning_rate": 4.4871794871794874e-05,
"loss": 0.6797,
"step": 18
},
{
"epoch": 0.66,
"learning_rate": 4.423076923076923e-05,
"loss": 0.657,
"step": 19
},
{
"epoch": 0.69,
"learning_rate": 4.358974358974359e-05,
"loss": 0.6794,
"step": 20
},
{
"epoch": 0.72,
"learning_rate": 4.294871794871795e-05,
"loss": 0.629,
"step": 21
},
{
"epoch": 0.76,
"learning_rate": 4.230769230769231e-05,
"loss": 0.6429,
"step": 22
},
{
"epoch": 0.79,
"learning_rate": 4.166666666666667e-05,
"loss": 0.6003,
"step": 23
},
{
"epoch": 0.83,
"learning_rate": 4.1025641025641023e-05,
"loss": 0.58,
"step": 24
},
{
"epoch": 0.86,
"learning_rate": 4.038461538461539e-05,
"loss": 0.6459,
"step": 25
},
{
"epoch": 0.9,
"learning_rate": 3.974358974358974e-05,
"loss": 0.5719,
"step": 26
},
{
"epoch": 0.93,
"learning_rate": 3.9102564102564105e-05,
"loss": 0.5321,
"step": 27
},
{
"epoch": 0.97,
"learning_rate": 3.846153846153846e-05,
"loss": 0.6402,
"step": 28
},
{
"epoch": 1.0,
"learning_rate": 3.782051282051282e-05,
"loss": 0.4468,
"step": 29
},
{
"epoch": 1.0,
"eval_accuracy": 0.76,
"eval_auc": 1.0,
"eval_f1": 0.8235294117647058,
"eval_loss": 0.5563281178474426,
"eval_precision": 0.7,
"eval_recall": 1.0,
"eval_runtime": 1.6051,
"eval_samples_per_second": 15.576,
"eval_steps_per_second": 1.246,
"step": 29
},
{
"epoch": 1.03,
"learning_rate": 3.717948717948718e-05,
"loss": 0.5103,
"step": 30
},
{
"epoch": 1.07,
"learning_rate": 3.653846153846154e-05,
"loss": 0.5385,
"step": 31
},
{
"epoch": 1.1,
"learning_rate": 3.58974358974359e-05,
"loss": 0.5151,
"step": 32
},
{
"epoch": 1.14,
"learning_rate": 3.525641025641026e-05,
"loss": 0.4949,
"step": 33
},
{
"epoch": 1.17,
"learning_rate": 3.461538461538462e-05,
"loss": 0.5086,
"step": 34
},
{
"epoch": 1.21,
"learning_rate": 3.397435897435898e-05,
"loss": 0.4416,
"step": 35
},
{
"epoch": 1.24,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.4374,
"step": 36
},
{
"epoch": 1.28,
"learning_rate": 3.269230769230769e-05,
"loss": 0.5711,
"step": 37
},
{
"epoch": 1.31,
"learning_rate": 3.205128205128206e-05,
"loss": 0.462,
"step": 38
},
{
"epoch": 1.34,
"learning_rate": 3.141025641025641e-05,
"loss": 0.4268,
"step": 39
},
{
"epoch": 1.38,
"learning_rate": 3.0769230769230774e-05,
"loss": 0.473,
"step": 40
},
{
"epoch": 1.41,
"learning_rate": 3.012820512820513e-05,
"loss": 0.4651,
"step": 41
},
{
"epoch": 1.45,
"learning_rate": 2.948717948717949e-05,
"loss": 0.3712,
"step": 42
},
{
"epoch": 1.48,
"learning_rate": 2.8846153846153845e-05,
"loss": 0.6356,
"step": 43
},
{
"epoch": 1.52,
"learning_rate": 2.8205128205128207e-05,
"loss": 0.3557,
"step": 44
},
{
"epoch": 1.55,
"learning_rate": 2.756410256410257e-05,
"loss": 0.3891,
"step": 45
},
{
"epoch": 1.59,
"learning_rate": 2.6923076923076923e-05,
"loss": 0.412,
"step": 46
},
{
"epoch": 1.62,
"learning_rate": 2.6282051282051285e-05,
"loss": 0.2874,
"step": 47
},
{
"epoch": 1.66,
"learning_rate": 2.564102564102564e-05,
"loss": 0.3086,
"step": 48
},
{
"epoch": 1.69,
"learning_rate": 2.5e-05,
"loss": 0.384,
"step": 49
},
{
"epoch": 1.72,
"learning_rate": 2.435897435897436e-05,
"loss": 0.2773,
"step": 50
},
{
"epoch": 1.76,
"learning_rate": 2.3717948717948718e-05,
"loss": 0.3755,
"step": 51
},
{
"epoch": 1.79,
"learning_rate": 2.307692307692308e-05,
"loss": 0.507,
"step": 52
},
{
"epoch": 1.83,
"learning_rate": 2.2435897435897437e-05,
"loss": 0.3976,
"step": 53
},
{
"epoch": 1.86,
"learning_rate": 2.1794871794871795e-05,
"loss": 0.3925,
"step": 54
},
{
"epoch": 1.9,
"learning_rate": 2.1153846153846154e-05,
"loss": 0.5349,
"step": 55
},
{
"epoch": 1.93,
"learning_rate": 2.0512820512820512e-05,
"loss": 0.2437,
"step": 56
},
{
"epoch": 1.97,
"learning_rate": 1.987179487179487e-05,
"loss": 0.3496,
"step": 57
},
{
"epoch": 2.0,
"learning_rate": 1.923076923076923e-05,
"loss": 0.1945,
"step": 58
},
{
"epoch": 2.0,
"eval_accuracy": 0.84,
"eval_auc": 1.0,
"eval_f1": 0.8750000000000001,
"eval_loss": 0.3492187559604645,
"eval_precision": 0.7777777777777778,
"eval_recall": 1.0,
"eval_runtime": 1.5992,
"eval_samples_per_second": 15.633,
"eval_steps_per_second": 1.251,
"step": 58
},
{
"epoch": 2.03,
"learning_rate": 1.858974358974359e-05,
"loss": 0.2392,
"step": 59
},
{
"epoch": 2.07,
"learning_rate": 1.794871794871795e-05,
"loss": 0.2135,
"step": 60
},
{
"epoch": 2.1,
"learning_rate": 1.730769230769231e-05,
"loss": 0.4027,
"step": 61
},
{
"epoch": 2.14,
"learning_rate": 1.6666666666666667e-05,
"loss": 0.3798,
"step": 62
},
{
"epoch": 2.17,
"learning_rate": 1.602564102564103e-05,
"loss": 0.2134,
"step": 63
},
{
"epoch": 2.21,
"learning_rate": 1.5384615384615387e-05,
"loss": 0.3116,
"step": 64
},
{
"epoch": 2.24,
"learning_rate": 1.4743589743589745e-05,
"loss": 0.2248,
"step": 65
},
{
"epoch": 2.28,
"learning_rate": 1.4102564102564104e-05,
"loss": 0.1883,
"step": 66
},
{
"epoch": 2.31,
"learning_rate": 1.3461538461538462e-05,
"loss": 0.1935,
"step": 67
},
{
"epoch": 2.34,
"learning_rate": 1.282051282051282e-05,
"loss": 0.1912,
"step": 68
},
{
"epoch": 2.38,
"learning_rate": 1.217948717948718e-05,
"loss": 0.1999,
"step": 69
},
{
"epoch": 2.41,
"learning_rate": 1.153846153846154e-05,
"loss": 0.2033,
"step": 70
},
{
"epoch": 2.45,
"learning_rate": 1.0897435897435898e-05,
"loss": 0.2038,
"step": 71
},
{
"epoch": 2.48,
"learning_rate": 1.0256410256410256e-05,
"loss": 0.1647,
"step": 72
},
{
"epoch": 2.52,
"learning_rate": 9.615384615384616e-06,
"loss": 0.1812,
"step": 73
},
{
"epoch": 2.55,
"learning_rate": 8.974358974358976e-06,
"loss": 0.1766,
"step": 74
},
{
"epoch": 2.59,
"learning_rate": 8.333333333333334e-06,
"loss": 0.2137,
"step": 75
},
{
"epoch": 2.62,
"learning_rate": 7.692307692307694e-06,
"loss": 0.3739,
"step": 76
},
{
"epoch": 2.66,
"learning_rate": 7.051282051282052e-06,
"loss": 0.301,
"step": 77
},
{
"epoch": 2.69,
"learning_rate": 6.41025641025641e-06,
"loss": 0.1771,
"step": 78
},
{
"epoch": 2.72,
"learning_rate": 5.76923076923077e-06,
"loss": 0.2224,
"step": 79
},
{
"epoch": 2.76,
"learning_rate": 5.128205128205128e-06,
"loss": 0.2905,
"step": 80
},
{
"epoch": 2.79,
"learning_rate": 4.487179487179488e-06,
"loss": 0.1836,
"step": 81
},
{
"epoch": 2.83,
"learning_rate": 3.846153846153847e-06,
"loss": 0.1592,
"step": 82
},
{
"epoch": 2.86,
"learning_rate": 3.205128205128205e-06,
"loss": 0.1648,
"step": 83
},
{
"epoch": 2.9,
"learning_rate": 2.564102564102564e-06,
"loss": 0.1626,
"step": 84
},
{
"epoch": 2.93,
"learning_rate": 1.9230769230769234e-06,
"loss": 0.1826,
"step": 85
},
{
"epoch": 2.97,
"learning_rate": 1.282051282051282e-06,
"loss": 0.3295,
"step": 86
},
{
"epoch": 3.0,
"learning_rate": 6.41025641025641e-07,
"loss": 0.1466,
"step": 87
},
{
"epoch": 3.0,
"eval_accuracy": 0.96,
"eval_auc": 1.0,
"eval_f1": 0.962962962962963,
"eval_loss": 0.18480469286441803,
"eval_precision": 1.0,
"eval_recall": 0.9285714285714286,
"eval_runtime": 1.5881,
"eval_samples_per_second": 15.742,
"eval_steps_per_second": 1.259,
"step": 87
}
],
"logging_steps": 1,
"max_steps": 87,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 1.849055714085888e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}