ABBNikit's picture
Upload folder using huggingface_hub
d7c87a8 verified
raw
history blame contribute delete
No virus
12.2 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 66.66666666666667,
"eval_steps": 500,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.67,
"learning_rate": 2e-05,
"loss": 1.7473,
"step": 1
},
{
"epoch": 1.33,
"learning_rate": 4e-05,
"loss": 1.69,
"step": 2
},
{
"epoch": 2.0,
"learning_rate": 6e-05,
"loss": 1.7306,
"step": 3
},
{
"epoch": 2.67,
"learning_rate": 8e-05,
"loss": 1.7116,
"step": 4
},
{
"epoch": 3.33,
"learning_rate": 0.0001,
"loss": 1.7313,
"step": 5
},
{
"epoch": 4.0,
"learning_rate": 0.00012,
"loss": 1.6886,
"step": 6
},
{
"epoch": 4.67,
"learning_rate": 0.00014,
"loss": 1.7171,
"step": 7
},
{
"epoch": 5.33,
"learning_rate": 0.00016,
"loss": 1.6503,
"step": 8
},
{
"epoch": 6.0,
"learning_rate": 0.00018,
"loss": 1.648,
"step": 9
},
{
"epoch": 6.67,
"learning_rate": 0.0002,
"loss": 1.6006,
"step": 10
},
{
"epoch": 7.33,
"learning_rate": 0.00019777777777777778,
"loss": 1.5927,
"step": 11
},
{
"epoch": 8.0,
"learning_rate": 0.00019555555555555556,
"loss": 1.5831,
"step": 12
},
{
"epoch": 8.67,
"learning_rate": 0.00019333333333333333,
"loss": 1.5099,
"step": 13
},
{
"epoch": 9.33,
"learning_rate": 0.00019111111111111114,
"loss": 1.443,
"step": 14
},
{
"epoch": 10.0,
"learning_rate": 0.00018888888888888888,
"loss": 1.465,
"step": 15
},
{
"epoch": 10.67,
"learning_rate": 0.0001866666666666667,
"loss": 1.4726,
"step": 16
},
{
"epoch": 11.33,
"learning_rate": 0.00018444444444444446,
"loss": 1.3746,
"step": 17
},
{
"epoch": 12.0,
"learning_rate": 0.00018222222222222224,
"loss": 1.3903,
"step": 18
},
{
"epoch": 12.67,
"learning_rate": 0.00018,
"loss": 1.354,
"step": 19
},
{
"epoch": 13.33,
"learning_rate": 0.00017777777777777779,
"loss": 1.3862,
"step": 20
},
{
"epoch": 14.0,
"learning_rate": 0.00017555555555555556,
"loss": 1.3473,
"step": 21
},
{
"epoch": 14.67,
"learning_rate": 0.00017333333333333334,
"loss": 1.3259,
"step": 22
},
{
"epoch": 15.33,
"learning_rate": 0.0001711111111111111,
"loss": 1.3708,
"step": 23
},
{
"epoch": 16.0,
"learning_rate": 0.00016888888888888889,
"loss": 1.2815,
"step": 24
},
{
"epoch": 16.67,
"learning_rate": 0.0001666666666666667,
"loss": 1.2665,
"step": 25
},
{
"epoch": 17.33,
"learning_rate": 0.00016444444444444444,
"loss": 1.334,
"step": 26
},
{
"epoch": 18.0,
"learning_rate": 0.00016222222222222224,
"loss": 1.2575,
"step": 27
},
{
"epoch": 18.67,
"learning_rate": 0.00016,
"loss": 1.2478,
"step": 28
},
{
"epoch": 19.33,
"learning_rate": 0.0001577777777777778,
"loss": 1.2474,
"step": 29
},
{
"epoch": 20.0,
"learning_rate": 0.00015555555555555556,
"loss": 1.2455,
"step": 30
},
{
"epoch": 20.67,
"learning_rate": 0.00015333333333333334,
"loss": 1.1969,
"step": 31
},
{
"epoch": 21.33,
"learning_rate": 0.0001511111111111111,
"loss": 1.2369,
"step": 32
},
{
"epoch": 22.0,
"learning_rate": 0.0001488888888888889,
"loss": 1.2038,
"step": 33
},
{
"epoch": 22.67,
"learning_rate": 0.00014666666666666666,
"loss": 1.179,
"step": 34
},
{
"epoch": 23.33,
"learning_rate": 0.00014444444444444444,
"loss": 1.1484,
"step": 35
},
{
"epoch": 24.0,
"learning_rate": 0.00014222222222222224,
"loss": 1.196,
"step": 36
},
{
"epoch": 24.67,
"learning_rate": 0.00014,
"loss": 1.1739,
"step": 37
},
{
"epoch": 25.33,
"learning_rate": 0.0001377777777777778,
"loss": 1.1176,
"step": 38
},
{
"epoch": 26.0,
"learning_rate": 0.00013555555555555556,
"loss": 1.1151,
"step": 39
},
{
"epoch": 26.67,
"learning_rate": 0.00013333333333333334,
"loss": 1.0642,
"step": 40
},
{
"epoch": 27.33,
"learning_rate": 0.00013111111111111111,
"loss": 1.1203,
"step": 41
},
{
"epoch": 28.0,
"learning_rate": 0.00012888888888888892,
"loss": 1.0962,
"step": 42
},
{
"epoch": 28.67,
"learning_rate": 0.00012666666666666666,
"loss": 1.0606,
"step": 43
},
{
"epoch": 29.33,
"learning_rate": 0.00012444444444444444,
"loss": 1.0825,
"step": 44
},
{
"epoch": 30.0,
"learning_rate": 0.00012222222222222224,
"loss": 1.0042,
"step": 45
},
{
"epoch": 30.67,
"learning_rate": 0.00012,
"loss": 1.0551,
"step": 46
},
{
"epoch": 31.33,
"learning_rate": 0.00011777777777777779,
"loss": 0.9581,
"step": 47
},
{
"epoch": 32.0,
"learning_rate": 0.00011555555555555555,
"loss": 0.9902,
"step": 48
},
{
"epoch": 32.67,
"learning_rate": 0.00011333333333333334,
"loss": 0.9915,
"step": 49
},
{
"epoch": 33.33,
"learning_rate": 0.00011111111111111112,
"loss": 0.9637,
"step": 50
},
{
"epoch": 34.0,
"learning_rate": 0.00010888888888888889,
"loss": 0.8967,
"step": 51
},
{
"epoch": 34.67,
"learning_rate": 0.00010666666666666667,
"loss": 0.9312,
"step": 52
},
{
"epoch": 35.33,
"learning_rate": 0.00010444444444444445,
"loss": 0.8629,
"step": 53
},
{
"epoch": 36.0,
"learning_rate": 0.00010222222222222222,
"loss": 0.9007,
"step": 54
},
{
"epoch": 36.67,
"learning_rate": 0.0001,
"loss": 0.8208,
"step": 55
},
{
"epoch": 37.33,
"learning_rate": 9.777777777777778e-05,
"loss": 0.8691,
"step": 56
},
{
"epoch": 38.0,
"learning_rate": 9.555555555555557e-05,
"loss": 0.8424,
"step": 57
},
{
"epoch": 38.67,
"learning_rate": 9.333333333333334e-05,
"loss": 0.7912,
"step": 58
},
{
"epoch": 39.33,
"learning_rate": 9.111111111111112e-05,
"loss": 0.8062,
"step": 59
},
{
"epoch": 40.0,
"learning_rate": 8.888888888888889e-05,
"loss": 0.7743,
"step": 60
},
{
"epoch": 40.67,
"learning_rate": 8.666666666666667e-05,
"loss": 0.7413,
"step": 61
},
{
"epoch": 41.33,
"learning_rate": 8.444444444444444e-05,
"loss": 0.7732,
"step": 62
},
{
"epoch": 42.0,
"learning_rate": 8.222222222222222e-05,
"loss": 0.691,
"step": 63
},
{
"epoch": 42.67,
"learning_rate": 8e-05,
"loss": 0.719,
"step": 64
},
{
"epoch": 43.33,
"learning_rate": 7.777777777777778e-05,
"loss": 0.68,
"step": 65
},
{
"epoch": 44.0,
"learning_rate": 7.555555555555556e-05,
"loss": 0.6434,
"step": 66
},
{
"epoch": 44.67,
"learning_rate": 7.333333333333333e-05,
"loss": 0.6415,
"step": 67
},
{
"epoch": 45.33,
"learning_rate": 7.111111111111112e-05,
"loss": 0.6421,
"step": 68
},
{
"epoch": 46.0,
"learning_rate": 6.88888888888889e-05,
"loss": 0.593,
"step": 69
},
{
"epoch": 46.67,
"learning_rate": 6.666666666666667e-05,
"loss": 0.6038,
"step": 70
},
{
"epoch": 47.33,
"learning_rate": 6.444444444444446e-05,
"loss": 0.5586,
"step": 71
},
{
"epoch": 48.0,
"learning_rate": 6.222222222222222e-05,
"loss": 0.5388,
"step": 72
},
{
"epoch": 48.67,
"learning_rate": 6e-05,
"loss": 0.5099,
"step": 73
},
{
"epoch": 49.33,
"learning_rate": 5.7777777777777776e-05,
"loss": 0.515,
"step": 74
},
{
"epoch": 50.0,
"learning_rate": 5.555555555555556e-05,
"loss": 0.4512,
"step": 75
},
{
"epoch": 50.67,
"learning_rate": 5.333333333333333e-05,
"loss": 0.4653,
"step": 76
},
{
"epoch": 51.33,
"learning_rate": 5.111111111111111e-05,
"loss": 0.4577,
"step": 77
},
{
"epoch": 52.0,
"learning_rate": 4.888888888888889e-05,
"loss": 0.4005,
"step": 78
},
{
"epoch": 52.67,
"learning_rate": 4.666666666666667e-05,
"loss": 0.4214,
"step": 79
},
{
"epoch": 53.33,
"learning_rate": 4.4444444444444447e-05,
"loss": 0.3747,
"step": 80
},
{
"epoch": 54.0,
"learning_rate": 4.222222222222222e-05,
"loss": 0.4205,
"step": 81
},
{
"epoch": 54.67,
"learning_rate": 4e-05,
"loss": 0.3831,
"step": 82
},
{
"epoch": 55.33,
"learning_rate": 3.777777777777778e-05,
"loss": 0.3918,
"step": 83
},
{
"epoch": 56.0,
"learning_rate": 3.555555555555556e-05,
"loss": 0.3339,
"step": 84
},
{
"epoch": 56.67,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.3476,
"step": 85
},
{
"epoch": 57.33,
"learning_rate": 3.111111111111111e-05,
"loss": 0.3224,
"step": 86
},
{
"epoch": 58.0,
"learning_rate": 2.8888888888888888e-05,
"loss": 0.3523,
"step": 87
},
{
"epoch": 58.67,
"learning_rate": 2.6666666666666667e-05,
"loss": 0.351,
"step": 88
},
{
"epoch": 59.33,
"learning_rate": 2.4444444444444445e-05,
"loss": 0.3076,
"step": 89
},
{
"epoch": 60.0,
"learning_rate": 2.2222222222222223e-05,
"loss": 0.2934,
"step": 90
},
{
"epoch": 60.67,
"learning_rate": 2e-05,
"loss": 0.318,
"step": 91
},
{
"epoch": 61.33,
"learning_rate": 1.777777777777778e-05,
"loss": 0.3103,
"step": 92
},
{
"epoch": 62.0,
"learning_rate": 1.5555555555555555e-05,
"loss": 0.2663,
"step": 93
},
{
"epoch": 62.67,
"learning_rate": 1.3333333333333333e-05,
"loss": 0.2584,
"step": 94
},
{
"epoch": 63.33,
"learning_rate": 1.1111111111111112e-05,
"loss": 0.3059,
"step": 95
},
{
"epoch": 64.0,
"learning_rate": 8.88888888888889e-06,
"loss": 0.2872,
"step": 96
},
{
"epoch": 64.67,
"learning_rate": 6.666666666666667e-06,
"loss": 0.2621,
"step": 97
},
{
"epoch": 65.33,
"learning_rate": 4.444444444444445e-06,
"loss": 0.2649,
"step": 98
},
{
"epoch": 66.0,
"learning_rate": 2.2222222222222225e-06,
"loss": 0.2978,
"step": 99
},
{
"epoch": 66.67,
"learning_rate": 0.0,
"loss": 0.2732,
"step": 100
}
],
"logging_steps": 1,
"max_steps": 100,
"num_input_tokens_seen": 0,
"num_train_epochs": 100,
"save_steps": 500,
"total_flos": 6.50352940548096e+16,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}