Bloomz_lora_answer / checkpoint-100 /trainer_state.json
CreatorPhan's picture
Upload folder using huggingface_hub (#6)
8d74b69
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.3429796355841372,
"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": 0.00019931271477663232,
"loss": 2.5587,
"step": 1
},
{
"epoch": 0.01,
"learning_rate": 0.0001986254295532646,
"loss": 2.3914,
"step": 2
},
{
"epoch": 0.01,
"learning_rate": 0.00019793814432989693,
"loss": 2.4218,
"step": 3
},
{
"epoch": 0.01,
"learning_rate": 0.00019725085910652924,
"loss": 2.3414,
"step": 4
},
{
"epoch": 0.02,
"learning_rate": 0.0001965635738831615,
"loss": 2.2469,
"step": 5
},
{
"epoch": 0.02,
"learning_rate": 0.00019587628865979381,
"loss": 2.3241,
"step": 6
},
{
"epoch": 0.02,
"learning_rate": 0.00019518900343642613,
"loss": 2.3266,
"step": 7
},
{
"epoch": 0.03,
"learning_rate": 0.00019450171821305842,
"loss": 2.1856,
"step": 8
},
{
"epoch": 0.03,
"learning_rate": 0.00019381443298969073,
"loss": 2.3247,
"step": 9
},
{
"epoch": 0.03,
"learning_rate": 0.00019312714776632305,
"loss": 2.3245,
"step": 10
},
{
"epoch": 0.04,
"learning_rate": 0.00019243986254295533,
"loss": 2.2591,
"step": 11
},
{
"epoch": 0.04,
"learning_rate": 0.00019175257731958765,
"loss": 2.1767,
"step": 12
},
{
"epoch": 0.04,
"learning_rate": 0.00019106529209621996,
"loss": 2.3478,
"step": 13
},
{
"epoch": 0.05,
"learning_rate": 0.00019037800687285222,
"loss": 2.3339,
"step": 14
},
{
"epoch": 0.05,
"learning_rate": 0.00018969072164948454,
"loss": 2.234,
"step": 15
},
{
"epoch": 0.05,
"learning_rate": 0.00018900343642611685,
"loss": 2.2651,
"step": 16
},
{
"epoch": 0.06,
"learning_rate": 0.00018831615120274914,
"loss": 2.1831,
"step": 17
},
{
"epoch": 0.06,
"learning_rate": 0.00018762886597938145,
"loss": 2.216,
"step": 18
},
{
"epoch": 0.07,
"learning_rate": 0.00018694158075601377,
"loss": 2.1359,
"step": 19
},
{
"epoch": 0.07,
"learning_rate": 0.00018625429553264605,
"loss": 2.1215,
"step": 20
},
{
"epoch": 0.07,
"learning_rate": 0.00018556701030927837,
"loss": 2.2179,
"step": 21
},
{
"epoch": 0.08,
"learning_rate": 0.00018487972508591068,
"loss": 2.2598,
"step": 22
},
{
"epoch": 0.08,
"learning_rate": 0.00018419243986254294,
"loss": 2.1813,
"step": 23
},
{
"epoch": 0.08,
"learning_rate": 0.00018350515463917526,
"loss": 2.2006,
"step": 24
},
{
"epoch": 0.09,
"learning_rate": 0.00018281786941580757,
"loss": 2.1564,
"step": 25
},
{
"epoch": 0.09,
"learning_rate": 0.00018213058419243986,
"loss": 2.2537,
"step": 26
},
{
"epoch": 0.09,
"learning_rate": 0.00018144329896907217,
"loss": 2.1975,
"step": 27
},
{
"epoch": 0.1,
"learning_rate": 0.0001807560137457045,
"loss": 2.2566,
"step": 28
},
{
"epoch": 0.1,
"learning_rate": 0.00018006872852233677,
"loss": 2.1464,
"step": 29
},
{
"epoch": 0.1,
"learning_rate": 0.0001793814432989691,
"loss": 2.1421,
"step": 30
},
{
"epoch": 0.11,
"learning_rate": 0.0001786941580756014,
"loss": 2.1276,
"step": 31
},
{
"epoch": 0.11,
"learning_rate": 0.00017800687285223366,
"loss": 2.0649,
"step": 32
},
{
"epoch": 0.11,
"learning_rate": 0.00017731958762886598,
"loss": 2.1835,
"step": 33
},
{
"epoch": 0.12,
"learning_rate": 0.0001766323024054983,
"loss": 2.1711,
"step": 34
},
{
"epoch": 0.12,
"learning_rate": 0.00017594501718213058,
"loss": 2.2591,
"step": 35
},
{
"epoch": 0.12,
"learning_rate": 0.0001752577319587629,
"loss": 2.1471,
"step": 36
},
{
"epoch": 0.13,
"learning_rate": 0.0001745704467353952,
"loss": 2.0861,
"step": 37
},
{
"epoch": 0.13,
"learning_rate": 0.0001738831615120275,
"loss": 2.0702,
"step": 38
},
{
"epoch": 0.13,
"learning_rate": 0.0001731958762886598,
"loss": 2.1096,
"step": 39
},
{
"epoch": 0.14,
"learning_rate": 0.00017250859106529212,
"loss": 2.1062,
"step": 40
},
{
"epoch": 0.14,
"learning_rate": 0.00017182130584192438,
"loss": 2.2545,
"step": 41
},
{
"epoch": 0.14,
"learning_rate": 0.0001711340206185567,
"loss": 2.1572,
"step": 42
},
{
"epoch": 0.15,
"learning_rate": 0.000170446735395189,
"loss": 2.0749,
"step": 43
},
{
"epoch": 0.15,
"learning_rate": 0.0001697594501718213,
"loss": 2.1922,
"step": 44
},
{
"epoch": 0.15,
"learning_rate": 0.00016907216494845361,
"loss": 2.1915,
"step": 45
},
{
"epoch": 0.16,
"learning_rate": 0.00016838487972508593,
"loss": 2.1594,
"step": 46
},
{
"epoch": 0.16,
"learning_rate": 0.00016769759450171822,
"loss": 2.176,
"step": 47
},
{
"epoch": 0.16,
"learning_rate": 0.00016701030927835053,
"loss": 2.1223,
"step": 48
},
{
"epoch": 0.17,
"learning_rate": 0.00016632302405498285,
"loss": 2.1263,
"step": 49
},
{
"epoch": 0.17,
"learning_rate": 0.00016563573883161513,
"loss": 2.0481,
"step": 50
},
{
"epoch": 0.17,
"learning_rate": 0.00016494845360824742,
"loss": 2.1043,
"step": 51
},
{
"epoch": 0.18,
"learning_rate": 0.00016426116838487973,
"loss": 2.1678,
"step": 52
},
{
"epoch": 0.18,
"learning_rate": 0.00016357388316151202,
"loss": 2.1602,
"step": 53
},
{
"epoch": 0.19,
"learning_rate": 0.00016288659793814434,
"loss": 2.1448,
"step": 54
},
{
"epoch": 0.19,
"learning_rate": 0.00016219931271477665,
"loss": 2.1536,
"step": 55
},
{
"epoch": 0.19,
"learning_rate": 0.00016151202749140894,
"loss": 2.0339,
"step": 56
},
{
"epoch": 0.2,
"learning_rate": 0.00016082474226804125,
"loss": 2.023,
"step": 57
},
{
"epoch": 0.2,
"learning_rate": 0.00016013745704467357,
"loss": 2.1407,
"step": 58
},
{
"epoch": 0.2,
"learning_rate": 0.00015945017182130585,
"loss": 2.1134,
"step": 59
},
{
"epoch": 0.21,
"learning_rate": 0.00015876288659793814,
"loss": 2.1652,
"step": 60
},
{
"epoch": 0.21,
"learning_rate": 0.00015807560137457046,
"loss": 2.0051,
"step": 61
},
{
"epoch": 0.21,
"learning_rate": 0.00015738831615120274,
"loss": 2.0604,
"step": 62
},
{
"epoch": 0.22,
"learning_rate": 0.00015670103092783506,
"loss": 2.1708,
"step": 63
},
{
"epoch": 0.22,
"learning_rate": 0.00015601374570446737,
"loss": 2.1106,
"step": 64
},
{
"epoch": 0.22,
"learning_rate": 0.00015532646048109966,
"loss": 2.1445,
"step": 65
},
{
"epoch": 0.23,
"learning_rate": 0.00015463917525773197,
"loss": 2.0879,
"step": 66
},
{
"epoch": 0.23,
"learning_rate": 0.0001539518900343643,
"loss": 2.1498,
"step": 67
},
{
"epoch": 0.23,
"learning_rate": 0.00015326460481099657,
"loss": 2.0719,
"step": 68
},
{
"epoch": 0.24,
"learning_rate": 0.00015257731958762886,
"loss": 2.2167,
"step": 69
},
{
"epoch": 0.24,
"learning_rate": 0.00015189003436426118,
"loss": 2.0811,
"step": 70
},
{
"epoch": 0.24,
"learning_rate": 0.00015120274914089346,
"loss": 2.1058,
"step": 71
},
{
"epoch": 0.25,
"learning_rate": 0.00015051546391752578,
"loss": 2.0392,
"step": 72
},
{
"epoch": 0.25,
"learning_rate": 0.0001498281786941581,
"loss": 2.0957,
"step": 73
},
{
"epoch": 0.25,
"learning_rate": 0.00014914089347079038,
"loss": 1.9994,
"step": 74
},
{
"epoch": 0.26,
"learning_rate": 0.0001484536082474227,
"loss": 2.0464,
"step": 75
},
{
"epoch": 0.26,
"learning_rate": 0.000147766323024055,
"loss": 2.0417,
"step": 76
},
{
"epoch": 0.26,
"learning_rate": 0.0001470790378006873,
"loss": 2.105,
"step": 77
},
{
"epoch": 0.27,
"learning_rate": 0.00014639175257731958,
"loss": 2.1147,
"step": 78
},
{
"epoch": 0.27,
"learning_rate": 0.0001457044673539519,
"loss": 1.9964,
"step": 79
},
{
"epoch": 0.27,
"learning_rate": 0.00014501718213058418,
"loss": 1.9723,
"step": 80
},
{
"epoch": 0.28,
"learning_rate": 0.0001443298969072165,
"loss": 2.0621,
"step": 81
},
{
"epoch": 0.28,
"learning_rate": 0.00014364261168384881,
"loss": 2.2703,
"step": 82
},
{
"epoch": 0.28,
"learning_rate": 0.0001429553264604811,
"loss": 2.0815,
"step": 83
},
{
"epoch": 0.29,
"learning_rate": 0.00014226804123711342,
"loss": 2.0774,
"step": 84
},
{
"epoch": 0.29,
"learning_rate": 0.00014158075601374573,
"loss": 2.066,
"step": 85
},
{
"epoch": 0.29,
"learning_rate": 0.00014089347079037802,
"loss": 2.03,
"step": 86
},
{
"epoch": 0.3,
"learning_rate": 0.0001402061855670103,
"loss": 2.1433,
"step": 87
},
{
"epoch": 0.3,
"learning_rate": 0.00013951890034364262,
"loss": 2.0811,
"step": 88
},
{
"epoch": 0.31,
"learning_rate": 0.0001388316151202749,
"loss": 1.9791,
"step": 89
},
{
"epoch": 0.31,
"learning_rate": 0.00013814432989690722,
"loss": 2.0876,
"step": 90
},
{
"epoch": 0.31,
"learning_rate": 0.00013745704467353953,
"loss": 2.0314,
"step": 91
},
{
"epoch": 0.32,
"learning_rate": 0.00013676975945017182,
"loss": 1.9485,
"step": 92
},
{
"epoch": 0.32,
"learning_rate": 0.00013608247422680414,
"loss": 2.078,
"step": 93
},
{
"epoch": 0.32,
"learning_rate": 0.00013539518900343645,
"loss": 2.1251,
"step": 94
},
{
"epoch": 0.33,
"learning_rate": 0.00013470790378006874,
"loss": 1.9736,
"step": 95
},
{
"epoch": 0.33,
"learning_rate": 0.00013402061855670103,
"loss": 2.0189,
"step": 96
},
{
"epoch": 0.33,
"learning_rate": 0.00013333333333333334,
"loss": 2.0061,
"step": 97
},
{
"epoch": 0.34,
"learning_rate": 0.00013264604810996563,
"loss": 1.9595,
"step": 98
},
{
"epoch": 0.34,
"learning_rate": 0.00013195876288659794,
"loss": 1.9702,
"step": 99
},
{
"epoch": 0.34,
"learning_rate": 0.00013127147766323026,
"loss": 2.0322,
"step": 100
}
],
"logging_steps": 1,
"max_steps": 291,
"num_train_epochs": 1,
"save_steps": 100,
"total_flos": 6.083398113601536e+16,
"trial_name": null,
"trial_params": null
}