results-2 / checkpoint-253 /trainer_state.json
sharkMeow's picture
Training in progress, epoch 4, checkpoint
4693ed5
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 4.018145161290322,
"eval_steps": 25,
"global_step": 253,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 2e-05,
"loss": 4.2125,
"step": 1
},
{
"epoch": 0.02,
"eval_loss": 4.052073955535889,
"eval_runtime": 61.8325,
"eval_samples_per_second": 4.043,
"eval_steps_per_second": 4.043,
"step": 1
},
{
"epoch": 0.03,
"learning_rate": 4e-05,
"loss": 4.2885,
"step": 2
},
{
"epoch": 0.05,
"learning_rate": 6e-05,
"loss": 4.2535,
"step": 3
},
{
"epoch": 0.06,
"learning_rate": 8e-05,
"loss": 4.0238,
"step": 4
},
{
"epoch": 0.08,
"learning_rate": 0.0001,
"loss": 3.8658,
"step": 5
},
{
"epoch": 0.1,
"learning_rate": 0.00012,
"loss": 3.991,
"step": 6
},
{
"epoch": 0.11,
"learning_rate": 0.00014,
"loss": 3.8686,
"step": 7
},
{
"epoch": 0.13,
"learning_rate": 0.00016,
"loss": 3.8117,
"step": 8
},
{
"epoch": 0.15,
"learning_rate": 0.00018,
"loss": 4.0165,
"step": 9
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 3.7689,
"step": 10
},
{
"epoch": 0.18,
"learning_rate": 0.0001999979107245606,
"loss": 3.6961,
"step": 11
},
{
"epoch": 0.19,
"learning_rate": 0.00019999164298554375,
"loss": 3.5999,
"step": 12
},
{
"epoch": 0.21,
"learning_rate": 0.00019998119704485014,
"loss": 3.5358,
"step": 13
},
{
"epoch": 0.23,
"learning_rate": 0.00019996657333896877,
"loss": 3.51,
"step": 14
},
{
"epoch": 0.24,
"learning_rate": 0.00019994777247895855,
"loss": 3.3729,
"step": 15
},
{
"epoch": 0.26,
"learning_rate": 0.00019992479525042303,
"loss": 3.3557,
"step": 16
},
{
"epoch": 0.27,
"learning_rate": 0.00019989764261347736,
"loss": 3.3868,
"step": 17
},
{
"epoch": 0.29,
"learning_rate": 0.00019986631570270832,
"loss": 3.4494,
"step": 18
},
{
"epoch": 0.31,
"learning_rate": 0.00019983081582712685,
"loss": 3.4571,
"step": 19
},
{
"epoch": 0.32,
"learning_rate": 0.00019979114447011323,
"loss": 3.254,
"step": 20
},
{
"epoch": 0.34,
"learning_rate": 0.00019974730328935534,
"loss": 3.2094,
"step": 21
},
{
"epoch": 0.35,
"learning_rate": 0.0001996992941167792,
"loss": 3.2843,
"step": 22
},
{
"epoch": 0.37,
"learning_rate": 0.00019964711895847258,
"loss": 3.2776,
"step": 23
},
{
"epoch": 0.39,
"learning_rate": 0.00019959077999460095,
"loss": 2.9951,
"step": 24
},
{
"epoch": 0.4,
"learning_rate": 0.00019953027957931658,
"loss": 3.1523,
"step": 25
},
{
"epoch": 0.4,
"eval_loss": 2.9463467597961426,
"eval_runtime": 62.0633,
"eval_samples_per_second": 4.028,
"eval_steps_per_second": 4.028,
"step": 25
},
{
"epoch": 0.42,
"learning_rate": 0.00019946562024066014,
"loss": 3.0537,
"step": 26
},
{
"epoch": 0.44,
"learning_rate": 0.00019939680468045499,
"loss": 2.8775,
"step": 27
},
{
"epoch": 0.45,
"learning_rate": 0.00019932383577419432,
"loss": 3.0155,
"step": 28
},
{
"epoch": 0.47,
"learning_rate": 0.00019924671657092096,
"loss": 2.8512,
"step": 29
},
{
"epoch": 0.48,
"learning_rate": 0.00019916545029310012,
"loss": 2.7208,
"step": 30
},
{
"epoch": 0.5,
"learning_rate": 0.00019908004033648453,
"loss": 2.7177,
"step": 31
},
{
"epoch": 0.52,
"learning_rate": 0.00019899049026997272,
"loss": 2.536,
"step": 32
},
{
"epoch": 0.53,
"learning_rate": 0.00019889680383545973,
"loss": 2.6654,
"step": 33
},
{
"epoch": 0.55,
"learning_rate": 0.00019879898494768093,
"loss": 2.5692,
"step": 34
},
{
"epoch": 0.56,
"learning_rate": 0.00019869703769404828,
"loss": 2.4448,
"step": 35
},
{
"epoch": 0.58,
"learning_rate": 0.00019859096633447965,
"loss": 2.4296,
"step": 36
},
{
"epoch": 0.6,
"learning_rate": 0.00019848077530122083,
"loss": 2.3887,
"step": 37
},
{
"epoch": 0.61,
"learning_rate": 0.0001983664691986601,
"loss": 2.3225,
"step": 38
},
{
"epoch": 0.63,
"learning_rate": 0.00019824805280313623,
"loss": 2.1755,
"step": 39
},
{
"epoch": 0.65,
"learning_rate": 0.00019812553106273847,
"loss": 2.1252,
"step": 40
},
{
"epoch": 0.66,
"learning_rate": 0.00019799890909710013,
"loss": 2.1585,
"step": 41
},
{
"epoch": 0.68,
"learning_rate": 0.00019786819219718443,
"loss": 2.2467,
"step": 42
},
{
"epoch": 0.69,
"learning_rate": 0.0001977333858250636,
"loss": 2.0564,
"step": 43
},
{
"epoch": 0.71,
"learning_rate": 0.00019759449561369038,
"loss": 2.0713,
"step": 44
},
{
"epoch": 0.73,
"learning_rate": 0.00019745152736666302,
"loss": 1.9998,
"step": 45
},
{
"epoch": 0.74,
"learning_rate": 0.00019730448705798239,
"loss": 2.1497,
"step": 46
},
{
"epoch": 0.76,
"learning_rate": 0.00019715338083180269,
"loss": 1.9467,
"step": 47
},
{
"epoch": 0.77,
"learning_rate": 0.00019699821500217434,
"loss": 1.9195,
"step": 48
},
{
"epoch": 0.79,
"learning_rate": 0.0001968389960527806,
"loss": 1.7969,
"step": 49
},
{
"epoch": 0.81,
"learning_rate": 0.0001966757306366662,
"loss": 1.9685,
"step": 50
},
{
"epoch": 0.81,
"eval_loss": 1.8644403219223022,
"eval_runtime": 62.0885,
"eval_samples_per_second": 4.027,
"eval_steps_per_second": 4.027,
"step": 50
},
{
"epoch": 0.82,
"learning_rate": 0.00019650842557595967,
"loss": 1.8609,
"step": 51
},
{
"epoch": 0.84,
"learning_rate": 0.00019633708786158806,
"loss": 1.8528,
"step": 52
},
{
"epoch": 0.85,
"learning_rate": 0.00019616172465298492,
"loss": 1.7482,
"step": 53
},
{
"epoch": 0.87,
"learning_rate": 0.00019598234327779118,
"loss": 1.5841,
"step": 54
},
{
"epoch": 0.89,
"learning_rate": 0.0001957989512315489,
"loss": 1.8643,
"step": 55
},
{
"epoch": 0.9,
"learning_rate": 0.00019561155617738797,
"loss": 1.7103,
"step": 56
},
{
"epoch": 0.92,
"learning_rate": 0.00019542016594570615,
"loss": 1.886,
"step": 57
},
{
"epoch": 0.94,
"learning_rate": 0.00019522478853384155,
"loss": 1.7265,
"step": 58
},
{
"epoch": 0.95,
"learning_rate": 0.00019502543210573881,
"loss": 1.7261,
"step": 59
},
{
"epoch": 0.97,
"learning_rate": 0.00019482210499160765,
"loss": 1.6018,
"step": 60
},
{
"epoch": 0.98,
"learning_rate": 0.00019461481568757506,
"loss": 1.7412,
"step": 61
},
{
"epoch": 1.0,
"learning_rate": 0.00019440357285533,
"loss": 1.5618,
"step": 62
},
{
"epoch": 1.02,
"learning_rate": 0.00019418838532176173,
"loss": 1.6051,
"step": 63
},
{
"epoch": 1.01,
"learning_rate": 0.00019396926207859084,
"loss": 1.5225,
"step": 64
},
{
"epoch": 1.03,
"learning_rate": 0.0001937462122819935,
"loss": 1.6547,
"step": 65
},
{
"epoch": 1.04,
"learning_rate": 0.000193519245252219,
"loss": 1.6184,
"step": 66
},
{
"epoch": 1.06,
"learning_rate": 0.0001932883704732001,
"loss": 1.4581,
"step": 67
},
{
"epoch": 1.07,
"learning_rate": 0.00019305359759215685,
"loss": 1.567,
"step": 68
},
{
"epoch": 1.09,
"learning_rate": 0.00019281493641919368,
"loss": 1.645,
"step": 69
},
{
"epoch": 1.11,
"learning_rate": 0.00019257239692688907,
"loss": 1.5237,
"step": 70
},
{
"epoch": 1.12,
"learning_rate": 0.00019232598924987903,
"loss": 1.4956,
"step": 71
},
{
"epoch": 1.14,
"learning_rate": 0.00019207572368443385,
"loss": 1.5493,
"step": 72
},
{
"epoch": 1.16,
"learning_rate": 0.00019182161068802741,
"loss": 1.495,
"step": 73
},
{
"epoch": 1.17,
"learning_rate": 0.0001915636608789006,
"loss": 1.3961,
"step": 74
},
{
"epoch": 1.19,
"learning_rate": 0.00019130188503561741,
"loss": 1.5639,
"step": 75
},
{
"epoch": 1.19,
"eval_loss": 1.5244245529174805,
"eval_runtime": 62.0668,
"eval_samples_per_second": 4.028,
"eval_steps_per_second": 4.028,
"step": 75
},
{
"epoch": 1.2,
"learning_rate": 0.0001910362940966147,
"loss": 1.4871,
"step": 76
},
{
"epoch": 1.22,
"learning_rate": 0.00019076689915974488,
"loss": 1.6211,
"step": 77
},
{
"epoch": 1.24,
"learning_rate": 0.00019049371148181253,
"loss": 1.4287,
"step": 78
},
{
"epoch": 1.25,
"learning_rate": 0.0001902167424781038,
"loss": 1.4661,
"step": 79
},
{
"epoch": 1.27,
"learning_rate": 0.00018993600372190932,
"loss": 1.5775,
"step": 80
},
{
"epoch": 1.28,
"learning_rate": 0.00018965150694404094,
"loss": 1.4292,
"step": 81
},
{
"epoch": 1.3,
"learning_rate": 0.00018936326403234125,
"loss": 1.4739,
"step": 82
},
{
"epoch": 1.32,
"learning_rate": 0.00018907128703118695,
"loss": 1.5025,
"step": 83
},
{
"epoch": 1.33,
"learning_rate": 0.00018877558814098561,
"loss": 1.423,
"step": 84
},
{
"epoch": 1.35,
"learning_rate": 0.00018847617971766577,
"loss": 1.4102,
"step": 85
},
{
"epoch": 1.36,
"learning_rate": 0.0001881730742721608,
"loss": 1.4348,
"step": 86
},
{
"epoch": 1.38,
"learning_rate": 0.00018786628446988593,
"loss": 1.3953,
"step": 87
},
{
"epoch": 1.4,
"learning_rate": 0.0001875558231302091,
"loss": 1.3912,
"step": 88
},
{
"epoch": 1.41,
"learning_rate": 0.00018724170322591537,
"loss": 1.4086,
"step": 89
},
{
"epoch": 1.43,
"learning_rate": 0.00018692393788266479,
"loss": 1.3259,
"step": 90
},
{
"epoch": 1.45,
"learning_rate": 0.00018660254037844388,
"loss": 1.5038,
"step": 91
},
{
"epoch": 1.46,
"learning_rate": 0.00018627752414301086,
"loss": 1.3597,
"step": 92
},
{
"epoch": 1.48,
"learning_rate": 0.00018594890275733453,
"loss": 1.466,
"step": 93
},
{
"epoch": 1.49,
"learning_rate": 0.00018561668995302667,
"loss": 1.3287,
"step": 94
},
{
"epoch": 1.51,
"learning_rate": 0.0001852808996117683,
"loss": 1.3319,
"step": 95
},
{
"epoch": 1.53,
"learning_rate": 0.00018494154576472976,
"loss": 1.4434,
"step": 96
},
{
"epoch": 1.54,
"learning_rate": 0.0001845986425919841,
"loss": 1.4025,
"step": 97
},
{
"epoch": 1.56,
"learning_rate": 0.00018425220442191495,
"loss": 1.3213,
"step": 98
},
{
"epoch": 1.57,
"learning_rate": 0.00018390224573061747,
"loss": 1.2632,
"step": 99
},
{
"epoch": 1.59,
"learning_rate": 0.00018354878114129367,
"loss": 1.2843,
"step": 100
},
{
"epoch": 1.59,
"eval_loss": 1.4124521017074585,
"eval_runtime": 62.1529,
"eval_samples_per_second": 4.022,
"eval_steps_per_second": 4.022,
"step": 100
},
{
"epoch": 1.61,
"learning_rate": 0.00018319182542364117,
"loss": 1.4325,
"step": 101
},
{
"epoch": 1.62,
"learning_rate": 0.00018283139349323634,
"loss": 1.3073,
"step": 102
},
{
"epoch": 1.64,
"learning_rate": 0.0001824675004109107,
"loss": 1.4306,
"step": 103
},
{
"epoch": 1.66,
"learning_rate": 0.00018210016138212187,
"loss": 1.4146,
"step": 104
},
{
"epoch": 1.67,
"learning_rate": 0.00018172939175631808,
"loss": 1.4248,
"step": 105
},
{
"epoch": 1.69,
"learning_rate": 0.00018135520702629675,
"loss": 1.1905,
"step": 106
},
{
"epoch": 1.7,
"learning_rate": 0.00018097762282755727,
"loss": 1.2818,
"step": 107
},
{
"epoch": 1.72,
"learning_rate": 0.00018059665493764743,
"loss": 1.3104,
"step": 108
},
{
"epoch": 1.74,
"learning_rate": 0.0001802123192755044,
"loss": 1.3141,
"step": 109
},
{
"epoch": 1.75,
"learning_rate": 0.0001798246319007893,
"loss": 1.2494,
"step": 110
},
{
"epoch": 1.77,
"learning_rate": 0.0001794336090132164,
"loss": 1.2817,
"step": 111
},
{
"epoch": 1.78,
"learning_rate": 0.00017903926695187595,
"loss": 1.2675,
"step": 112
},
{
"epoch": 1.8,
"learning_rate": 0.00017864162219455163,
"loss": 1.3368,
"step": 113
},
{
"epoch": 1.82,
"learning_rate": 0.00017824069135703198,
"loss": 1.3054,
"step": 114
},
{
"epoch": 1.83,
"learning_rate": 0.00017783649119241602,
"loss": 1.4334,
"step": 115
},
{
"epoch": 1.85,
"learning_rate": 0.00017742903859041325,
"loss": 1.3058,
"step": 116
},
{
"epoch": 1.86,
"learning_rate": 0.00017701835057663798,
"loss": 1.2882,
"step": 117
},
{
"epoch": 1.88,
"learning_rate": 0.0001766044443118978,
"loss": 1.1971,
"step": 118
},
{
"epoch": 1.9,
"learning_rate": 0.00017618733709147662,
"loss": 1.2832,
"step": 119
},
{
"epoch": 1.91,
"learning_rate": 0.0001757670463444118,
"loss": 1.2372,
"step": 120
},
{
"epoch": 1.93,
"learning_rate": 0.00017534358963276607,
"loss": 1.182,
"step": 121
},
{
"epoch": 1.95,
"learning_rate": 0.00017491698465089362,
"loss": 1.2228,
"step": 122
},
{
"epoch": 1.96,
"learning_rate": 0.00017448724922470058,
"loss": 1.3541,
"step": 123
},
{
"epoch": 1.98,
"learning_rate": 0.00017405440131090048,
"loss": 1.2751,
"step": 124
},
{
"epoch": 1.99,
"learning_rate": 0.00017361845899626355,
"loss": 1.1626,
"step": 125
},
{
"epoch": 1.99,
"eval_loss": 1.351290225982666,
"eval_runtime": 62.1247,
"eval_samples_per_second": 4.024,
"eval_steps_per_second": 4.024,
"step": 125
},
{
"epoch": 2.01,
"learning_rate": 0.00017317944049686124,
"loss": 1.2837,
"step": 126
},
{
"epoch": 2.01,
"learning_rate": 0.00017273736415730488,
"loss": 1.1712,
"step": 127
},
{
"epoch": 2.02,
"learning_rate": 0.00017229224844997928,
"loss": 1.1996,
"step": 128
},
{
"epoch": 2.04,
"learning_rate": 0.00017184411197427077,
"loss": 1.1007,
"step": 129
},
{
"epoch": 2.05,
"learning_rate": 0.00017139297345578994,
"loss": 1.1426,
"step": 130
},
{
"epoch": 2.07,
"learning_rate": 0.0001709388517455893,
"loss": 1.2041,
"step": 131
},
{
"epoch": 2.09,
"learning_rate": 0.00017048176581937563,
"loss": 1.1214,
"step": 132
},
{
"epoch": 2.1,
"learning_rate": 0.00017048176581937563,
"loss": 1.1013,
"step": 133
},
{
"epoch": 2.12,
"learning_rate": 0.00017002173477671686,
"loss": 1.0937,
"step": 134
},
{
"epoch": 2.14,
"learning_rate": 0.0001695587778402442,
"loss": 1.132,
"step": 135
},
{
"epoch": 2.15,
"learning_rate": 0.0001690929143548488,
"loss": 1.1336,
"step": 136
},
{
"epoch": 2.17,
"learning_rate": 0.0001686241637868734,
"loss": 1.0649,
"step": 137
},
{
"epoch": 2.18,
"learning_rate": 0.00016815254572329896,
"loss": 1.126,
"step": 138
},
{
"epoch": 2.2,
"learning_rate": 0.00016767807987092621,
"loss": 1.1903,
"step": 139
},
{
"epoch": 2.22,
"learning_rate": 0.00016720078605555224,
"loss": 1.2231,
"step": 140
},
{
"epoch": 2.23,
"learning_rate": 0.00016672068422114196,
"loss": 1.2027,
"step": 141
},
{
"epoch": 2.25,
"learning_rate": 0.0001662377944289948,
"loss": 1.1121,
"step": 142
},
{
"epoch": 2.26,
"learning_rate": 0.0001657521368569064,
"loss": 1.1226,
"step": 143
},
{
"epoch": 2.28,
"learning_rate": 0.00016526373179832546,
"loss": 1.2607,
"step": 144
},
{
"epoch": 2.3,
"learning_rate": 0.00016477259966150588,
"loss": 1.0129,
"step": 145
},
{
"epoch": 2.31,
"learning_rate": 0.00016427876096865394,
"loss": 1.1083,
"step": 146
},
{
"epoch": 2.33,
"learning_rate": 0.0001637822363550706,
"loss": 1.1899,
"step": 147
},
{
"epoch": 2.34,
"learning_rate": 0.00016328304656828952,
"loss": 1.1603,
"step": 148
},
{
"epoch": 2.36,
"learning_rate": 0.00016278121246720987,
"loss": 1.1224,
"step": 149
},
{
"epoch": 2.38,
"learning_rate": 0.00016227675502122492,
"loss": 1.2645,
"step": 150
},
{
"epoch": 2.38,
"eval_loss": 1.3386605978012085,
"eval_runtime": 62.2057,
"eval_samples_per_second": 4.019,
"eval_steps_per_second": 4.019,
"step": 150
},
{
"epoch": 2.39,
"learning_rate": 0.00016176969530934572,
"loss": 1.1165,
"step": 151
},
{
"epoch": 2.41,
"learning_rate": 0.0001612600545193203,
"loss": 1.1705,
"step": 152
},
{
"epoch": 2.43,
"learning_rate": 0.00016074785394674837,
"loss": 1.1285,
"step": 153
},
{
"epoch": 2.44,
"learning_rate": 0.0001602331149941915,
"loss": 1.2047,
"step": 154
},
{
"epoch": 2.46,
"learning_rate": 0.00015971585917027862,
"loss": 1.0933,
"step": 155
},
{
"epoch": 2.47,
"learning_rate": 0.0001591961080888076,
"loss": 1.1415,
"step": 156
},
{
"epoch": 2.49,
"learning_rate": 0.0001586738834678418,
"loss": 1.1956,
"step": 157
},
{
"epoch": 2.51,
"learning_rate": 0.00015814920712880267,
"loss": 1.264,
"step": 158
},
{
"epoch": 2.52,
"learning_rate": 0.00015762210099555803,
"loss": 1.1909,
"step": 159
},
{
"epoch": 2.54,
"learning_rate": 0.00015709258709350582,
"loss": 1.0594,
"step": 160
},
{
"epoch": 2.55,
"learning_rate": 0.00015656068754865387,
"loss": 1.1423,
"step": 161
},
{
"epoch": 2.57,
"learning_rate": 0.00015602642458669528,
"loss": 1.1687,
"step": 162
},
{
"epoch": 2.59,
"learning_rate": 0.0001554898205320797,
"loss": 1.0989,
"step": 163
},
{
"epoch": 2.6,
"learning_rate": 0.0001549508978070806,
"loss": 1.2288,
"step": 164
},
{
"epoch": 2.62,
"learning_rate": 0.00015440967893085828,
"loss": 1.2075,
"step": 165
},
{
"epoch": 2.64,
"learning_rate": 0.0001538661865185188,
"loss": 1.256,
"step": 166
},
{
"epoch": 2.65,
"learning_rate": 0.00015332044328016914,
"loss": 1.1595,
"step": 167
},
{
"epoch": 2.67,
"learning_rate": 0.0001527724720199682,
"loss": 1.1199,
"step": 168
},
{
"epoch": 2.68,
"learning_rate": 0.00015222229563517385,
"loss": 1.1336,
"step": 169
},
{
"epoch": 2.7,
"learning_rate": 0.00015166993711518631,
"loss": 1.1568,
"step": 170
},
{
"epoch": 2.72,
"learning_rate": 0.00015111541954058734,
"loss": 1.0688,
"step": 171
},
{
"epoch": 2.73,
"learning_rate": 0.0001505587660821759,
"loss": 1.1648,
"step": 172
},
{
"epoch": 2.75,
"learning_rate": 0.00015000000000000001,
"loss": 1.0783,
"step": 173
},
{
"epoch": 2.76,
"learning_rate": 0.00014943914464238468,
"loss": 1.1639,
"step": 174
},
{
"epoch": 2.78,
"learning_rate": 0.00014887622344495643,
"loss": 1.3175,
"step": 175
},
{
"epoch": 2.78,
"eval_loss": 1.3120231628417969,
"eval_runtime": 62.1097,
"eval_samples_per_second": 4.025,
"eval_steps_per_second": 4.025,
"step": 175
},
{
"epoch": 2.8,
"learning_rate": 0.00014831125992966385,
"loss": 1.059,
"step": 176
},
{
"epoch": 2.81,
"learning_rate": 0.0001477442777037949,
"loss": 1.0881,
"step": 177
},
{
"epoch": 2.83,
"learning_rate": 0.00014717530045899038,
"loss": 1.1179,
"step": 178
},
{
"epoch": 2.84,
"learning_rate": 0.0001466043519702539,
"loss": 1.1869,
"step": 179
},
{
"epoch": 2.86,
"learning_rate": 0.0001460314560949586,
"loss": 1.142,
"step": 180
},
{
"epoch": 2.88,
"learning_rate": 0.00014545663677185006,
"loss": 1.0172,
"step": 181
},
{
"epoch": 2.89,
"learning_rate": 0.00014487991802004623,
"loss": 1.0003,
"step": 182
},
{
"epoch": 2.91,
"learning_rate": 0.00014430132393803352,
"loss": 1.2018,
"step": 183
},
{
"epoch": 2.93,
"learning_rate": 0.0001437208787026601,
"loss": 1.0541,
"step": 184
},
{
"epoch": 2.94,
"learning_rate": 0.00014313860656812536,
"loss": 1.1134,
"step": 185
},
{
"epoch": 2.96,
"learning_rate": 0.00014255453186496673,
"loss": 1.2113,
"step": 186
},
{
"epoch": 2.97,
"learning_rate": 0.0001419686789990429,
"loss": 1.1616,
"step": 187
},
{
"epoch": 2.99,
"learning_rate": 0.00014138107245051392,
"loss": 1.1475,
"step": 188
},
{
"epoch": 3.01,
"learning_rate": 0.00014079173677281837,
"loss": 1.1168,
"step": 189
},
{
"epoch": 3.0,
"learning_rate": 0.0001402006965916474,
"loss": 0.9838,
"step": 190
},
{
"epoch": 3.02,
"learning_rate": 0.0001396079766039157,
"loss": 0.8454,
"step": 191
},
{
"epoch": 3.03,
"learning_rate": 0.0001390136015767295,
"loss": 1.1056,
"step": 192
},
{
"epoch": 3.05,
"learning_rate": 0.00013841759634635178,
"loss": 1.0452,
"step": 193
},
{
"epoch": 3.07,
"learning_rate": 0.00013781998581716427,
"loss": 0.9212,
"step": 194
},
{
"epoch": 3.08,
"learning_rate": 0.00013722079496062702,
"loss": 1.0476,
"step": 195
},
{
"epoch": 3.1,
"learning_rate": 0.0001366200488142348,
"loss": 0.9267,
"step": 196
},
{
"epoch": 3.11,
"learning_rate": 0.00013601777248047105,
"loss": 1.1301,
"step": 197
},
{
"epoch": 3.13,
"learning_rate": 0.00013541399112575878,
"loss": 0.9814,
"step": 198
},
{
"epoch": 3.15,
"learning_rate": 0.00013480872997940905,
"loss": 1.022,
"step": 199
},
{
"epoch": 3.16,
"learning_rate": 0.00013420201433256689,
"loss": 0.979,
"step": 200
},
{
"epoch": 3.16,
"eval_loss": 1.3181864023208618,
"eval_runtime": 62.2184,
"eval_samples_per_second": 4.018,
"eval_steps_per_second": 4.018,
"step": 200
},
{
"epoch": 3.18,
"learning_rate": 0.00013359386953715421,
"loss": 0.908,
"step": 201
},
{
"epoch": 3.2,
"learning_rate": 0.00013298432100481079,
"loss": 0.9209,
"step": 202
},
{
"epoch": 3.21,
"learning_rate": 0.00013237339420583212,
"loss": 1.0095,
"step": 203
},
{
"epoch": 3.23,
"learning_rate": 0.00013176111466810532,
"loss": 1.0415,
"step": 204
},
{
"epoch": 3.24,
"learning_rate": 0.00013114750797604247,
"loss": 1.0286,
"step": 205
},
{
"epoch": 3.26,
"learning_rate": 0.00013053259976951133,
"loss": 0.9969,
"step": 206
},
{
"epoch": 3.28,
"learning_rate": 0.00012991641574276418,
"loss": 1.0106,
"step": 207
},
{
"epoch": 3.29,
"learning_rate": 0.00012929898164336408,
"loss": 1.0094,
"step": 208
},
{
"epoch": 3.31,
"learning_rate": 0.00012868032327110904,
"loss": 1.0417,
"step": 209
},
{
"epoch": 3.32,
"learning_rate": 0.0001280604664769539,
"loss": 0.9764,
"step": 210
},
{
"epoch": 3.34,
"learning_rate": 0.00012743943716193016,
"loss": 1.0592,
"step": 211
},
{
"epoch": 3.36,
"learning_rate": 0.00012681726127606376,
"loss": 1.0541,
"step": 212
},
{
"epoch": 3.37,
"learning_rate": 0.0001261939648172906,
"loss": 0.9032,
"step": 213
},
{
"epoch": 3.39,
"learning_rate": 0.0001255695738303704,
"loss": 1.0044,
"step": 214
},
{
"epoch": 3.41,
"learning_rate": 0.00012494411440579814,
"loss": 1.0148,
"step": 215
},
{
"epoch": 3.42,
"learning_rate": 0.00012431761267871417,
"loss": 0.881,
"step": 216
},
{
"epoch": 3.44,
"learning_rate": 0.00012369009482781192,
"loss": 0.926,
"step": 217
},
{
"epoch": 3.45,
"learning_rate": 0.00012306158707424403,
"loss": 0.9837,
"step": 218
},
{
"epoch": 3.47,
"learning_rate": 0.00012243211568052677,
"loss": 1.0499,
"step": 219
},
{
"epoch": 3.49,
"learning_rate": 0.0001218017069494426,
"loss": 0.9517,
"step": 220
},
{
"epoch": 3.5,
"learning_rate": 0.0001211703872229411,
"loss": 0.9389,
"step": 221
},
{
"epoch": 3.52,
"learning_rate": 0.0001205381828810382,
"loss": 1.0278,
"step": 222
},
{
"epoch": 3.53,
"learning_rate": 0.00011990512034071406,
"loss": 0.9211,
"step": 223
},
{
"epoch": 3.55,
"learning_rate": 0.00011927122605480898,
"loss": 1.0141,
"step": 224
},
{
"epoch": 3.57,
"learning_rate": 0.00011863652651091823,
"loss": 1.0649,
"step": 225
},
{
"epoch": 3.57,
"eval_loss": 1.314542531967163,
"eval_runtime": 62.1983,
"eval_samples_per_second": 4.019,
"eval_steps_per_second": 4.019,
"step": 225
},
{
"epoch": 3.58,
"learning_rate": 0.00011800104823028515,
"loss": 0.9642,
"step": 226
},
{
"epoch": 3.6,
"learning_rate": 0.00011736481776669306,
"loss": 1.0534,
"step": 227
},
{
"epoch": 3.61,
"learning_rate": 0.00011672786170535552,
"loss": 1.0212,
"step": 228
},
{
"epoch": 3.63,
"learning_rate": 0.00011609020666180575,
"loss": 0.9801,
"step": 229
},
{
"epoch": 3.65,
"learning_rate": 0.00011545187928078406,
"loss": 0.9185,
"step": 230
},
{
"epoch": 3.66,
"learning_rate": 0.0001148129062351249,
"loss": 0.9292,
"step": 231
},
{
"epoch": 3.68,
"learning_rate": 0.00011417331422464205,
"loss": 0.9453,
"step": 232
},
{
"epoch": 3.7,
"learning_rate": 0.00011353312997501313,
"loss": 0.9784,
"step": 233
},
{
"epoch": 3.71,
"learning_rate": 0.00011289238023666266,
"loss": 1.0346,
"step": 234
},
{
"epoch": 3.73,
"learning_rate": 0.00011225109178364455,
"loss": 0.9485,
"step": 235
},
{
"epoch": 3.74,
"learning_rate": 0.00011160929141252303,
"loss": 0.9783,
"step": 236
},
{
"epoch": 3.76,
"learning_rate": 0.00011096700594125318,
"loss": 0.8651,
"step": 237
},
{
"epoch": 3.78,
"learning_rate": 0.00011032426220806018,
"loss": 0.982,
"step": 238
},
{
"epoch": 3.79,
"learning_rate": 0.00010968108707031792,
"loss": 1.0657,
"step": 239
},
{
"epoch": 3.81,
"learning_rate": 0.00010903750740342682,
"loss": 1.0281,
"step": 240
},
{
"epoch": 3.82,
"learning_rate": 0.00010839355009969068,
"loss": 0.9484,
"step": 241
},
{
"epoch": 3.84,
"learning_rate": 0.0001077492420671931,
"loss": 0.9936,
"step": 242
},
{
"epoch": 3.86,
"learning_rate": 0.00010710461022867302,
"loss": 0.9556,
"step": 243
},
{
"epoch": 3.87,
"learning_rate": 0.0001064596815203998,
"loss": 0.92,
"step": 244
},
{
"epoch": 3.89,
"learning_rate": 0.00010581448289104758,
"loss": 0.954,
"step": 245
},
{
"epoch": 3.91,
"learning_rate": 0.00010516904130056946,
"loss": 0.9427,
"step": 246
},
{
"epoch": 3.92,
"learning_rate": 0.00010452338371907064,
"loss": 0.9644,
"step": 247
},
{
"epoch": 3.94,
"learning_rate": 0.0001038775371256817,
"loss": 0.9458,
"step": 248
},
{
"epoch": 3.95,
"learning_rate": 0.00010323152850743107,
"loss": 1.003,
"step": 249
},
{
"epoch": 3.97,
"learning_rate": 0.00010258538485811765,
"loss": 1.0749,
"step": 250
},
{
"epoch": 3.97,
"eval_loss": 1.3046478033065796,
"eval_runtime": 62.1024,
"eval_samples_per_second": 4.026,
"eval_steps_per_second": 4.026,
"step": 250
},
{
"epoch": 3.99,
"learning_rate": 0.00010193913317718244,
"loss": 0.961,
"step": 251
},
{
"epoch": 4.0,
"learning_rate": 0.00010129280046858086,
"loss": 0.9708,
"step": 252
},
{
"epoch": 4.02,
"learning_rate": 0.00010064641373965393,
"loss": 0.8755,
"step": 253
}
],
"logging_steps": 1,
"max_steps": 496,
"num_train_epochs": 8,
"save_steps": 500,
"total_flos": 1.6474185518599373e+17,
"trial_name": null,
"trial_params": null
}