QA_6_2048 / checkpoint-100 /trainer_state.json
CreatorPhan's picture
Upload folder using huggingface_hub (#2)
f44f5e1
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.28368794326241137,
"eval_steps": 500,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 0.00019981060606060605,
"loss": 2.9206,
"step": 1
},
{
"epoch": 0.01,
"learning_rate": 0.00019962121212121212,
"loss": 2.7609,
"step": 2
},
{
"epoch": 0.01,
"learning_rate": 0.0001994318181818182,
"loss": 2.6878,
"step": 3
},
{
"epoch": 0.01,
"learning_rate": 0.00019924242424242426,
"loss": 2.6697,
"step": 4
},
{
"epoch": 0.01,
"learning_rate": 0.0001990530303030303,
"loss": 2.5818,
"step": 5
},
{
"epoch": 0.02,
"learning_rate": 0.00019886363636363637,
"loss": 2.5396,
"step": 6
},
{
"epoch": 0.02,
"learning_rate": 0.00019867424242424244,
"loss": 2.5265,
"step": 7
},
{
"epoch": 0.02,
"learning_rate": 0.0001984848484848485,
"loss": 2.5475,
"step": 8
},
{
"epoch": 0.03,
"learning_rate": 0.00019829545454545455,
"loss": 2.4835,
"step": 9
},
{
"epoch": 0.03,
"learning_rate": 0.0001981060606060606,
"loss": 2.4559,
"step": 10
},
{
"epoch": 0.03,
"learning_rate": 0.0001979166666666667,
"loss": 2.4511,
"step": 11
},
{
"epoch": 0.03,
"learning_rate": 0.00019772727272727273,
"loss": 2.4592,
"step": 12
},
{
"epoch": 0.04,
"learning_rate": 0.0001975378787878788,
"loss": 2.4495,
"step": 13
},
{
"epoch": 0.04,
"learning_rate": 0.00019734848484848484,
"loss": 2.4714,
"step": 14
},
{
"epoch": 0.04,
"learning_rate": 0.00019715909090909094,
"loss": 2.4302,
"step": 15
},
{
"epoch": 0.05,
"learning_rate": 0.00019696969696969698,
"loss": 2.4097,
"step": 16
},
{
"epoch": 0.05,
"learning_rate": 0.00019678030303030305,
"loss": 2.4523,
"step": 17
},
{
"epoch": 0.05,
"learning_rate": 0.0001965909090909091,
"loss": 2.4325,
"step": 18
},
{
"epoch": 0.05,
"learning_rate": 0.00019640151515151516,
"loss": 2.4125,
"step": 19
},
{
"epoch": 0.06,
"learning_rate": 0.00019621212121212123,
"loss": 2.4329,
"step": 20
},
{
"epoch": 0.06,
"learning_rate": 0.00019602272727272727,
"loss": 2.3471,
"step": 21
},
{
"epoch": 0.06,
"learning_rate": 0.00019583333333333334,
"loss": 2.3012,
"step": 22
},
{
"epoch": 0.07,
"learning_rate": 0.0001956439393939394,
"loss": 2.3869,
"step": 23
},
{
"epoch": 0.07,
"learning_rate": 0.00019545454545454548,
"loss": 2.3822,
"step": 24
},
{
"epoch": 0.07,
"learning_rate": 0.00019526515151515152,
"loss": 2.3427,
"step": 25
},
{
"epoch": 0.07,
"learning_rate": 0.0001950757575757576,
"loss": 2.3659,
"step": 26
},
{
"epoch": 0.08,
"learning_rate": 0.00019488636363636366,
"loss": 2.3826,
"step": 27
},
{
"epoch": 0.08,
"learning_rate": 0.0001946969696969697,
"loss": 2.3532,
"step": 28
},
{
"epoch": 0.08,
"learning_rate": 0.00019450757575757577,
"loss": 2.3828,
"step": 29
},
{
"epoch": 0.09,
"learning_rate": 0.0001943181818181818,
"loss": 2.3133,
"step": 30
},
{
"epoch": 0.09,
"learning_rate": 0.0001941287878787879,
"loss": 2.3613,
"step": 31
},
{
"epoch": 0.09,
"learning_rate": 0.00019393939393939395,
"loss": 2.3867,
"step": 32
},
{
"epoch": 0.09,
"learning_rate": 0.00019375000000000002,
"loss": 2.2966,
"step": 33
},
{
"epoch": 0.1,
"learning_rate": 0.00019356060606060606,
"loss": 2.3436,
"step": 34
},
{
"epoch": 0.1,
"learning_rate": 0.00019337121212121213,
"loss": 2.3425,
"step": 35
},
{
"epoch": 0.1,
"learning_rate": 0.0001931818181818182,
"loss": 2.307,
"step": 36
},
{
"epoch": 0.1,
"learning_rate": 0.00019299242424242424,
"loss": 2.3521,
"step": 37
},
{
"epoch": 0.11,
"learning_rate": 0.0001928030303030303,
"loss": 2.3302,
"step": 38
},
{
"epoch": 0.11,
"learning_rate": 0.00019261363636363635,
"loss": 2.312,
"step": 39
},
{
"epoch": 0.11,
"learning_rate": 0.00019242424242424245,
"loss": 2.3655,
"step": 40
},
{
"epoch": 0.12,
"learning_rate": 0.0001922348484848485,
"loss": 2.344,
"step": 41
},
{
"epoch": 0.12,
"learning_rate": 0.00019204545454545456,
"loss": 2.3373,
"step": 42
},
{
"epoch": 0.12,
"learning_rate": 0.0001918560606060606,
"loss": 2.3331,
"step": 43
},
{
"epoch": 0.12,
"learning_rate": 0.00019166666666666667,
"loss": 2.3376,
"step": 44
},
{
"epoch": 0.13,
"learning_rate": 0.00019147727272727274,
"loss": 2.3369,
"step": 45
},
{
"epoch": 0.13,
"learning_rate": 0.00019128787878787878,
"loss": 2.3413,
"step": 46
},
{
"epoch": 0.13,
"learning_rate": 0.00019109848484848485,
"loss": 2.3212,
"step": 47
},
{
"epoch": 0.14,
"learning_rate": 0.00019090909090909092,
"loss": 2.307,
"step": 48
},
{
"epoch": 0.14,
"learning_rate": 0.000190719696969697,
"loss": 2.2929,
"step": 49
},
{
"epoch": 0.14,
"learning_rate": 0.00019053030303030303,
"loss": 2.2873,
"step": 50
},
{
"epoch": 0.14,
"learning_rate": 0.0001903409090909091,
"loss": 2.3098,
"step": 51
},
{
"epoch": 0.15,
"learning_rate": 0.00019015151515151517,
"loss": 2.3129,
"step": 52
},
{
"epoch": 0.15,
"learning_rate": 0.0001899621212121212,
"loss": 2.3038,
"step": 53
},
{
"epoch": 0.15,
"learning_rate": 0.00018977272727272728,
"loss": 2.286,
"step": 54
},
{
"epoch": 0.16,
"learning_rate": 0.00018958333333333332,
"loss": 2.3388,
"step": 55
},
{
"epoch": 0.16,
"learning_rate": 0.00018939393939393942,
"loss": 2.3193,
"step": 56
},
{
"epoch": 0.16,
"learning_rate": 0.00018920454545454546,
"loss": 2.3136,
"step": 57
},
{
"epoch": 0.16,
"learning_rate": 0.00018901515151515153,
"loss": 2.3141,
"step": 58
},
{
"epoch": 0.17,
"learning_rate": 0.00018882575757575757,
"loss": 2.3646,
"step": 59
},
{
"epoch": 0.17,
"learning_rate": 0.00018863636363636364,
"loss": 2.3318,
"step": 60
},
{
"epoch": 0.17,
"learning_rate": 0.0001884469696969697,
"loss": 2.2977,
"step": 61
},
{
"epoch": 0.18,
"learning_rate": 0.00018825757575757575,
"loss": 2.2764,
"step": 62
},
{
"epoch": 0.18,
"learning_rate": 0.00018806818181818182,
"loss": 2.3095,
"step": 63
},
{
"epoch": 0.18,
"learning_rate": 0.0001878787878787879,
"loss": 2.252,
"step": 64
},
{
"epoch": 0.18,
"learning_rate": 0.00018768939393939396,
"loss": 2.2786,
"step": 65
},
{
"epoch": 0.19,
"learning_rate": 0.0001875,
"loss": 2.2789,
"step": 66
},
{
"epoch": 0.19,
"learning_rate": 0.00018731060606060607,
"loss": 2.2841,
"step": 67
},
{
"epoch": 0.19,
"learning_rate": 0.00018712121212121212,
"loss": 2.3436,
"step": 68
},
{
"epoch": 0.2,
"learning_rate": 0.00018693181818181818,
"loss": 2.2956,
"step": 69
},
{
"epoch": 0.2,
"learning_rate": 0.00018674242424242425,
"loss": 2.2353,
"step": 70
},
{
"epoch": 0.2,
"learning_rate": 0.0001865530303030303,
"loss": 2.2772,
"step": 71
},
{
"epoch": 0.2,
"learning_rate": 0.00018636363636363636,
"loss": 2.2496,
"step": 72
},
{
"epoch": 0.21,
"learning_rate": 0.00018617424242424243,
"loss": 2.2477,
"step": 73
},
{
"epoch": 0.21,
"learning_rate": 0.0001859848484848485,
"loss": 2.2791,
"step": 74
},
{
"epoch": 0.21,
"learning_rate": 0.00018579545454545454,
"loss": 2.2799,
"step": 75
},
{
"epoch": 0.22,
"learning_rate": 0.00018560606060606061,
"loss": 2.3132,
"step": 76
},
{
"epoch": 0.22,
"learning_rate": 0.00018541666666666668,
"loss": 2.2542,
"step": 77
},
{
"epoch": 0.22,
"learning_rate": 0.00018522727272727273,
"loss": 2.2609,
"step": 78
},
{
"epoch": 0.22,
"learning_rate": 0.0001850378787878788,
"loss": 2.2819,
"step": 79
},
{
"epoch": 0.23,
"learning_rate": 0.00018484848484848484,
"loss": 2.2844,
"step": 80
},
{
"epoch": 0.23,
"learning_rate": 0.00018465909090909093,
"loss": 2.2542,
"step": 81
},
{
"epoch": 0.23,
"learning_rate": 0.00018446969696969697,
"loss": 2.2603,
"step": 82
},
{
"epoch": 0.24,
"learning_rate": 0.00018428030303030304,
"loss": 2.2832,
"step": 83
},
{
"epoch": 0.24,
"learning_rate": 0.00018409090909090909,
"loss": 2.2869,
"step": 84
},
{
"epoch": 0.24,
"learning_rate": 0.00018390151515151518,
"loss": 2.2646,
"step": 85
},
{
"epoch": 0.24,
"learning_rate": 0.00018371212121212122,
"loss": 2.2698,
"step": 86
},
{
"epoch": 0.25,
"learning_rate": 0.00018352272727272727,
"loss": 2.2757,
"step": 87
},
{
"epoch": 0.25,
"learning_rate": 0.00018333333333333334,
"loss": 2.2544,
"step": 88
},
{
"epoch": 0.25,
"learning_rate": 0.0001831439393939394,
"loss": 2.2678,
"step": 89
},
{
"epoch": 0.26,
"learning_rate": 0.00018295454545454547,
"loss": 2.2778,
"step": 90
},
{
"epoch": 0.26,
"learning_rate": 0.00018276515151515152,
"loss": 2.2027,
"step": 91
},
{
"epoch": 0.26,
"learning_rate": 0.00018257575757575758,
"loss": 2.2167,
"step": 92
},
{
"epoch": 0.26,
"learning_rate": 0.00018238636363636365,
"loss": 2.2602,
"step": 93
},
{
"epoch": 0.27,
"learning_rate": 0.00018219696969696972,
"loss": 2.2736,
"step": 94
},
{
"epoch": 0.27,
"learning_rate": 0.00018200757575757577,
"loss": 2.2443,
"step": 95
},
{
"epoch": 0.27,
"learning_rate": 0.00018181818181818183,
"loss": 2.2299,
"step": 96
},
{
"epoch": 0.28,
"learning_rate": 0.0001816287878787879,
"loss": 2.2644,
"step": 97
},
{
"epoch": 0.28,
"learning_rate": 0.00018143939393939395,
"loss": 2.259,
"step": 98
},
{
"epoch": 0.28,
"learning_rate": 0.00018125000000000001,
"loss": 2.2567,
"step": 99
},
{
"epoch": 0.28,
"learning_rate": 0.00018106060606060606,
"loss": 2.2599,
"step": 100
}
],
"logging_steps": 1,
"max_steps": 1056,
"num_train_epochs": 3,
"save_steps": 100,
"total_flos": 2.5310590559514624e+17,
"trial_name": null,
"trial_params": null
}