results / checkpoint-126 /trainer_state.json
sharkMeow's picture
Training in progress, epoch 1, checkpoint
3b4b114
raw
history blame
16.5 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0161290322580645,
"eval_steps": 25,
"global_step": 126,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 0.0,
"loss": 4.0553,
"step": 1
},
{
"epoch": 0.01,
"eval_loss": 4.052073955535889,
"eval_runtime": 57.3905,
"eval_samples_per_second": 4.356,
"eval_steps_per_second": 4.356,
"step": 1
},
{
"epoch": 0.02,
"learning_rate": 2e-05,
"loss": 4.3696,
"step": 2
},
{
"epoch": 0.02,
"learning_rate": 4e-05,
"loss": 4.2401,
"step": 3
},
{
"epoch": 0.03,
"learning_rate": 6e-05,
"loss": 4.3077,
"step": 4
},
{
"epoch": 0.04,
"learning_rate": 8e-05,
"loss": 4.0741,
"step": 5
},
{
"epoch": 0.05,
"learning_rate": 0.0001,
"loss": 4.1673,
"step": 6
},
{
"epoch": 0.06,
"learning_rate": 0.00012,
"loss": 3.9378,
"step": 7
},
{
"epoch": 0.06,
"learning_rate": 0.00014,
"loss": 4.0167,
"step": 8
},
{
"epoch": 0.07,
"learning_rate": 0.00016,
"loss": 3.5818,
"step": 9
},
{
"epoch": 0.08,
"learning_rate": 0.00018,
"loss": 3.9022,
"step": 10
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 3.7906,
"step": 11
},
{
"epoch": 0.1,
"learning_rate": 0.0001999979107245606,
"loss": 3.6776,
"step": 12
},
{
"epoch": 0.1,
"learning_rate": 0.00019999164298554375,
"loss": 3.4291,
"step": 13
},
{
"epoch": 0.11,
"learning_rate": 0.00019998119704485014,
"loss": 3.6101,
"step": 14
},
{
"epoch": 0.12,
"learning_rate": 0.00019996657333896877,
"loss": 3.5537,
"step": 15
},
{
"epoch": 0.13,
"learning_rate": 0.00019994777247895855,
"loss": 3.386,
"step": 16
},
{
"epoch": 0.14,
"learning_rate": 0.00019992479525042303,
"loss": 3.6359,
"step": 17
},
{
"epoch": 0.15,
"learning_rate": 0.00019989764261347736,
"loss": 3.6132,
"step": 18
},
{
"epoch": 0.15,
"learning_rate": 0.00019986631570270832,
"loss": 3.4794,
"step": 19
},
{
"epoch": 0.16,
"learning_rate": 0.00019983081582712685,
"loss": 3.2395,
"step": 20
},
{
"epoch": 0.17,
"learning_rate": 0.00019979114447011323,
"loss": 3.2974,
"step": 21
},
{
"epoch": 0.18,
"learning_rate": 0.00019974730328935534,
"loss": 3.2698,
"step": 22
},
{
"epoch": 0.19,
"learning_rate": 0.0001996992941167792,
"loss": 3.3091,
"step": 23
},
{
"epoch": 0.19,
"learning_rate": 0.00019964711895847258,
"loss": 3.2017,
"step": 24
},
{
"epoch": 0.2,
"learning_rate": 0.00019959077999460095,
"loss": 3.2469,
"step": 25
},
{
"epoch": 0.2,
"eval_loss": 3.0720062255859375,
"eval_runtime": 61.8274,
"eval_samples_per_second": 4.044,
"eval_steps_per_second": 4.044,
"step": 25
},
{
"epoch": 0.21,
"learning_rate": 0.00019953027957931658,
"loss": 3.1102,
"step": 26
},
{
"epoch": 0.22,
"learning_rate": 0.00019946562024066014,
"loss": 3.1641,
"step": 27
},
{
"epoch": 0.23,
"learning_rate": 0.00019939680468045499,
"loss": 2.9779,
"step": 28
},
{
"epoch": 0.23,
"learning_rate": 0.00019932383577419432,
"loss": 3.104,
"step": 29
},
{
"epoch": 0.24,
"learning_rate": 0.00019924671657092096,
"loss": 2.7981,
"step": 30
},
{
"epoch": 0.25,
"learning_rate": 0.00019916545029310012,
"loss": 2.7673,
"step": 31
},
{
"epoch": 0.26,
"learning_rate": 0.00019908004033648453,
"loss": 2.8478,
"step": 32
},
{
"epoch": 0.27,
"learning_rate": 0.00019899049026997272,
"loss": 2.7539,
"step": 33
},
{
"epoch": 0.27,
"learning_rate": 0.00019889680383545973,
"loss": 2.726,
"step": 34
},
{
"epoch": 0.28,
"learning_rate": 0.00019879898494768093,
"loss": 2.81,
"step": 35
},
{
"epoch": 0.29,
"learning_rate": 0.00019869703769404828,
"loss": 2.6177,
"step": 36
},
{
"epoch": 0.3,
"learning_rate": 0.00019859096633447965,
"loss": 2.6046,
"step": 37
},
{
"epoch": 0.31,
"learning_rate": 0.00019848077530122083,
"loss": 2.5004,
"step": 38
},
{
"epoch": 0.31,
"learning_rate": 0.0001983664691986601,
"loss": 2.4993,
"step": 39
},
{
"epoch": 0.32,
"learning_rate": 0.00019824805280313623,
"loss": 2.2775,
"step": 40
},
{
"epoch": 0.33,
"learning_rate": 0.00019812553106273847,
"loss": 2.3306,
"step": 41
},
{
"epoch": 0.34,
"learning_rate": 0.00019799890909710013,
"loss": 2.236,
"step": 42
},
{
"epoch": 0.35,
"learning_rate": 0.00019786819219718443,
"loss": 2.2798,
"step": 43
},
{
"epoch": 0.35,
"learning_rate": 0.0001977333858250636,
"loss": 2.2178,
"step": 44
},
{
"epoch": 0.36,
"learning_rate": 0.00019759449561369038,
"loss": 1.9915,
"step": 45
},
{
"epoch": 0.37,
"learning_rate": 0.00019745152736666302,
"loss": 2.3066,
"step": 46
},
{
"epoch": 0.38,
"learning_rate": 0.00019730448705798239,
"loss": 2.1409,
"step": 47
},
{
"epoch": 0.39,
"learning_rate": 0.00019715338083180269,
"loss": 1.9976,
"step": 48
},
{
"epoch": 0.4,
"learning_rate": 0.00019699821500217434,
"loss": 2.1843,
"step": 49
},
{
"epoch": 0.4,
"learning_rate": 0.0001968389960527806,
"loss": 2.1539,
"step": 50
},
{
"epoch": 0.4,
"eval_loss": 1.9486372470855713,
"eval_runtime": 61.7944,
"eval_samples_per_second": 4.046,
"eval_steps_per_second": 4.046,
"step": 50
},
{
"epoch": 0.41,
"learning_rate": 0.0001966757306366662,
"loss": 2.2096,
"step": 51
},
{
"epoch": 0.42,
"learning_rate": 0.00019650842557595967,
"loss": 2.0241,
"step": 52
},
{
"epoch": 0.43,
"learning_rate": 0.00019633708786158806,
"loss": 1.8814,
"step": 53
},
{
"epoch": 0.44,
"learning_rate": 0.00019616172465298492,
"loss": 1.9953,
"step": 54
},
{
"epoch": 0.44,
"learning_rate": 0.00019598234327779118,
"loss": 1.9807,
"step": 55
},
{
"epoch": 0.45,
"learning_rate": 0.0001957989512315489,
"loss": 1.9743,
"step": 56
},
{
"epoch": 0.46,
"learning_rate": 0.00019561155617738797,
"loss": 1.867,
"step": 57
},
{
"epoch": 0.47,
"learning_rate": 0.00019542016594570615,
"loss": 1.8289,
"step": 58
},
{
"epoch": 0.48,
"learning_rate": 0.00019522478853384155,
"loss": 1.9712,
"step": 59
},
{
"epoch": 0.48,
"learning_rate": 0.00019502543210573881,
"loss": 1.6946,
"step": 60
},
{
"epoch": 0.49,
"learning_rate": 0.00019482210499160765,
"loss": 1.8674,
"step": 61
},
{
"epoch": 0.5,
"learning_rate": 0.00019461481568757506,
"loss": 1.6849,
"step": 62
},
{
"epoch": 0.51,
"learning_rate": 0.00019440357285533,
"loss": 1.7003,
"step": 63
},
{
"epoch": 0.52,
"learning_rate": 0.00019418838532176173,
"loss": 1.7021,
"step": 64
},
{
"epoch": 0.52,
"learning_rate": 0.00019396926207859084,
"loss": 1.8302,
"step": 65
},
{
"epoch": 0.53,
"learning_rate": 0.0001937462122819935,
"loss": 1.8549,
"step": 66
},
{
"epoch": 0.54,
"learning_rate": 0.000193519245252219,
"loss": 1.8946,
"step": 67
},
{
"epoch": 0.55,
"learning_rate": 0.0001932883704732001,
"loss": 1.799,
"step": 68
},
{
"epoch": 0.56,
"learning_rate": 0.00019305359759215685,
"loss": 1.7541,
"step": 69
},
{
"epoch": 0.56,
"learning_rate": 0.00019281493641919368,
"loss": 1.7145,
"step": 70
},
{
"epoch": 0.57,
"learning_rate": 0.00019257239692688907,
"loss": 1.8254,
"step": 71
},
{
"epoch": 0.58,
"learning_rate": 0.00019232598924987903,
"loss": 1.6161,
"step": 72
},
{
"epoch": 0.59,
"learning_rate": 0.00019207572368443385,
"loss": 1.5698,
"step": 73
},
{
"epoch": 0.6,
"learning_rate": 0.00019182161068802741,
"loss": 1.8155,
"step": 74
},
{
"epoch": 0.6,
"learning_rate": 0.0001915636608789006,
"loss": 1.6997,
"step": 75
},
{
"epoch": 0.6,
"eval_loss": 1.6153544187545776,
"eval_runtime": 61.8069,
"eval_samples_per_second": 4.045,
"eval_steps_per_second": 4.045,
"step": 75
},
{
"epoch": 0.61,
"learning_rate": 0.00019130188503561741,
"loss": 1.6507,
"step": 76
},
{
"epoch": 0.62,
"learning_rate": 0.0001910362940966147,
"loss": 1.6035,
"step": 77
},
{
"epoch": 0.63,
"learning_rate": 0.00019076689915974488,
"loss": 1.4493,
"step": 78
},
{
"epoch": 0.64,
"learning_rate": 0.00019049371148181253,
"loss": 1.5494,
"step": 79
},
{
"epoch": 0.65,
"learning_rate": 0.0001902167424781038,
"loss": 1.5386,
"step": 80
},
{
"epoch": 0.65,
"learning_rate": 0.00018993600372190932,
"loss": 1.467,
"step": 81
},
{
"epoch": 0.66,
"learning_rate": 0.00018965150694404094,
"loss": 1.6658,
"step": 82
},
{
"epoch": 0.67,
"learning_rate": 0.00018936326403234125,
"loss": 1.6175,
"step": 83
},
{
"epoch": 0.68,
"learning_rate": 0.00018907128703118695,
"loss": 1.6551,
"step": 84
},
{
"epoch": 0.69,
"learning_rate": 0.00018877558814098561,
"loss": 1.409,
"step": 85
},
{
"epoch": 0.69,
"learning_rate": 0.00018847617971766577,
"loss": 1.4879,
"step": 86
},
{
"epoch": 0.7,
"learning_rate": 0.0001881730742721608,
"loss": 1.3067,
"step": 87
},
{
"epoch": 0.71,
"learning_rate": 0.00018786628446988593,
"loss": 1.6869,
"step": 88
},
{
"epoch": 0.72,
"learning_rate": 0.0001875558231302091,
"loss": 1.5962,
"step": 89
},
{
"epoch": 0.73,
"learning_rate": 0.00018724170322591537,
"loss": 1.3352,
"step": 90
},
{
"epoch": 0.73,
"learning_rate": 0.00018692393788266479,
"loss": 1.5016,
"step": 91
},
{
"epoch": 0.74,
"learning_rate": 0.00018660254037844388,
"loss": 1.6951,
"step": 92
},
{
"epoch": 0.75,
"learning_rate": 0.00018627752414301086,
"loss": 1.5388,
"step": 93
},
{
"epoch": 0.76,
"learning_rate": 0.00018594890275733453,
"loss": 1.3656,
"step": 94
},
{
"epoch": 0.77,
"learning_rate": 0.00018561668995302667,
"loss": 1.4599,
"step": 95
},
{
"epoch": 0.77,
"learning_rate": 0.0001852808996117683,
"loss": 1.3428,
"step": 96
},
{
"epoch": 0.78,
"learning_rate": 0.00018494154576472976,
"loss": 1.2147,
"step": 97
},
{
"epoch": 0.79,
"learning_rate": 0.0001845986425919841,
"loss": 1.4761,
"step": 98
},
{
"epoch": 0.8,
"learning_rate": 0.00018425220442191495,
"loss": 1.4571,
"step": 99
},
{
"epoch": 0.81,
"learning_rate": 0.00018390224573061747,
"loss": 1.5076,
"step": 100
},
{
"epoch": 0.81,
"eval_loss": 1.49380362033844,
"eval_runtime": 61.7975,
"eval_samples_per_second": 4.045,
"eval_steps_per_second": 4.045,
"step": 100
},
{
"epoch": 0.81,
"learning_rate": 0.00018354878114129367,
"loss": 1.3776,
"step": 101
},
{
"epoch": 0.82,
"learning_rate": 0.00018319182542364117,
"loss": 1.437,
"step": 102
},
{
"epoch": 0.83,
"learning_rate": 0.00018283139349323634,
"loss": 1.3558,
"step": 103
},
{
"epoch": 0.84,
"learning_rate": 0.0001824675004109107,
"loss": 1.4502,
"step": 104
},
{
"epoch": 0.85,
"learning_rate": 0.00018210016138212187,
"loss": 1.3451,
"step": 105
},
{
"epoch": 0.85,
"learning_rate": 0.00018172939175631808,
"loss": 1.403,
"step": 106
},
{
"epoch": 0.86,
"learning_rate": 0.00018135520702629675,
"loss": 1.1523,
"step": 107
},
{
"epoch": 0.87,
"learning_rate": 0.00018097762282755727,
"loss": 1.2302,
"step": 108
},
{
"epoch": 0.88,
"learning_rate": 0.00018059665493764743,
"loss": 1.4151,
"step": 109
},
{
"epoch": 0.89,
"learning_rate": 0.0001802123192755044,
"loss": 1.4853,
"step": 110
},
{
"epoch": 0.9,
"learning_rate": 0.0001798246319007893,
"loss": 1.2571,
"step": 111
},
{
"epoch": 0.9,
"learning_rate": 0.0001794336090132164,
"loss": 1.3594,
"step": 112
},
{
"epoch": 0.91,
"learning_rate": 0.00017903926695187595,
"loss": 1.3997,
"step": 113
},
{
"epoch": 0.92,
"learning_rate": 0.00017864162219455163,
"loss": 1.5718,
"step": 114
},
{
"epoch": 0.93,
"learning_rate": 0.00017824069135703198,
"loss": 1.314,
"step": 115
},
{
"epoch": 0.94,
"learning_rate": 0.00017783649119241602,
"loss": 1.3595,
"step": 116
},
{
"epoch": 0.94,
"learning_rate": 0.00017742903859041325,
"loss": 1.4467,
"step": 117
},
{
"epoch": 0.95,
"learning_rate": 0.00017701835057663798,
"loss": 1.2837,
"step": 118
},
{
"epoch": 0.96,
"learning_rate": 0.0001766044443118978,
"loss": 1.2669,
"step": 119
},
{
"epoch": 0.97,
"learning_rate": 0.00017618733709147662,
"loss": 1.3115,
"step": 120
},
{
"epoch": 0.98,
"learning_rate": 0.0001757670463444118,
"loss": 1.1836,
"step": 121
},
{
"epoch": 0.98,
"learning_rate": 0.00017534358963276607,
"loss": 1.6092,
"step": 122
},
{
"epoch": 0.99,
"learning_rate": 0.00017491698465089362,
"loss": 1.2288,
"step": 123
},
{
"epoch": 1.0,
"learning_rate": 0.00017448724922470058,
"loss": 1.2305,
"step": 124
},
{
"epoch": 1.01,
"learning_rate": 0.00017405440131090048,
"loss": 1.3794,
"step": 125
},
{
"epoch": 1.01,
"eval_loss": 1.4039632081985474,
"eval_runtime": 61.7879,
"eval_samples_per_second": 4.046,
"eval_steps_per_second": 4.046,
"step": 125
},
{
"epoch": 1.02,
"learning_rate": 0.00017361845899626355,
"loss": 1.2283,
"step": 126
}
],
"logging_steps": 1,
"max_steps": 496,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 4.12261207202857e+16,
"trial_name": null,
"trial_params": null
}