eddysang's picture
Training in progress, step 63, checkpoint
170aa4d verified
raw
history blame
11.9 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.3557498318762609,
"eval_steps": 50,
"global_step": 63,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02151983860121049,
"grad_norm": 82.97300720214844,
"learning_rate": 7.499999999999999e-06,
"loss": 84.1949,
"step": 1
},
{
"epoch": 0.02151983860121049,
"eval_loss": 2.7060768604278564,
"eval_runtime": 26.5108,
"eval_samples_per_second": 5.922,
"eval_steps_per_second": 2.98,
"step": 1
},
{
"epoch": 0.04303967720242098,
"grad_norm": 78.80287170410156,
"learning_rate": 1.4999999999999999e-05,
"loss": 86.2387,
"step": 2
},
{
"epoch": 0.06455951580363148,
"grad_norm": 89.162841796875,
"learning_rate": 2.2499999999999998e-05,
"loss": 90.0082,
"step": 3
},
{
"epoch": 0.08607935440484196,
"grad_norm": 86.92474365234375,
"learning_rate": 2.9999999999999997e-05,
"loss": 84.1448,
"step": 4
},
{
"epoch": 0.10759919300605246,
"grad_norm": 91.07469940185547,
"learning_rate": 3.75e-05,
"loss": 83.3763,
"step": 5
},
{
"epoch": 0.12911903160726296,
"grad_norm": 104.43302917480469,
"learning_rate": 4.4999999999999996e-05,
"loss": 81.3885,
"step": 6
},
{
"epoch": 0.15063887020847344,
"grad_norm": 87.57577514648438,
"learning_rate": 5.2499999999999995e-05,
"loss": 74.0475,
"step": 7
},
{
"epoch": 0.17215870880968392,
"grad_norm": 62.191646575927734,
"learning_rate": 5.9999999999999995e-05,
"loss": 73.151,
"step": 8
},
{
"epoch": 0.1936785474108944,
"grad_norm": 46.43473815917969,
"learning_rate": 6.75e-05,
"loss": 65.2091,
"step": 9
},
{
"epoch": 0.21519838601210492,
"grad_norm": 54.11827850341797,
"learning_rate": 7.5e-05,
"loss": 54.5141,
"step": 10
},
{
"epoch": 0.2367182246133154,
"grad_norm": 40.347389221191406,
"learning_rate": 8.25e-05,
"loss": 55.1426,
"step": 11
},
{
"epoch": 0.2582380632145259,
"grad_norm": 90.2418212890625,
"learning_rate": 8.999999999999999e-05,
"loss": 47.8972,
"step": 12
},
{
"epoch": 0.2797579018157364,
"grad_norm": 38.726844787597656,
"learning_rate": 9.75e-05,
"loss": 39.0781,
"step": 13
},
{
"epoch": 0.3012777404169469,
"grad_norm": 39.34111022949219,
"learning_rate": 0.00010499999999999999,
"loss": 47.5949,
"step": 14
},
{
"epoch": 0.32279757901815737,
"grad_norm": 30.686641693115234,
"learning_rate": 0.0001125,
"loss": 36.2625,
"step": 15
},
{
"epoch": 0.34431741761936785,
"grad_norm": 83.62683868408203,
"learning_rate": 0.00011999999999999999,
"loss": 36.2262,
"step": 16
},
{
"epoch": 0.36583725622057833,
"grad_norm": 70.50878143310547,
"learning_rate": 0.00012749999999999998,
"loss": 41.3695,
"step": 17
},
{
"epoch": 0.3873570948217888,
"grad_norm": 61.20938491821289,
"learning_rate": 0.000135,
"loss": 40.6851,
"step": 18
},
{
"epoch": 0.4088769334229993,
"grad_norm": 54.74737548828125,
"learning_rate": 0.0001425,
"loss": 40.0946,
"step": 19
},
{
"epoch": 0.43039677202420984,
"grad_norm": 113.8772201538086,
"learning_rate": 0.00015,
"loss": 39.7055,
"step": 20
},
{
"epoch": 0.4519166106254203,
"grad_norm": 77.01616668701172,
"learning_rate": 0.00014994217771805422,
"loss": 36.2917,
"step": 21
},
{
"epoch": 0.4734364492266308,
"grad_norm": 24.734567642211914,
"learning_rate": 0.00014976880002998458,
"loss": 38.7726,
"step": 22
},
{
"epoch": 0.4949562878278413,
"grad_norm": 33.39565658569336,
"learning_rate": 0.00014948013427161947,
"loss": 34.3707,
"step": 23
},
{
"epoch": 0.5164761264290518,
"grad_norm": 19.322717666625977,
"learning_rate": 0.00014907662554463532,
"loss": 35.1135,
"step": 24
},
{
"epoch": 0.5379959650302623,
"grad_norm": 25.940776824951172,
"learning_rate": 0.00014855889603024227,
"loss": 35.1159,
"step": 25
},
{
"epoch": 0.5595158036314728,
"grad_norm": 19.108659744262695,
"learning_rate": 0.00014792774402982574,
"loss": 34.2692,
"step": 26
},
{
"epoch": 0.5810356422326832,
"grad_norm": 18.458415985107422,
"learning_rate": 0.0001471841427340235,
"loss": 34.6374,
"step": 27
},
{
"epoch": 0.6025554808338938,
"grad_norm": 27.296424865722656,
"learning_rate": 0.00014632923872213652,
"loss": 31.7279,
"step": 28
},
{
"epoch": 0.6240753194351042,
"grad_norm": 28.622535705566406,
"learning_rate": 0.0001453643501941863,
"loss": 30.2909,
"step": 29
},
{
"epoch": 0.6455951580363147,
"grad_norm": 20.236257553100586,
"learning_rate": 0.0001442909649383465,
"loss": 35.5433,
"step": 30
},
{
"epoch": 0.6671149966375253,
"grad_norm": 20.270566940307617,
"learning_rate": 0.0001431107380368811,
"loss": 30.5242,
"step": 31
},
{
"epoch": 0.6886348352387357,
"grad_norm": 16.822734832763672,
"learning_rate": 0.00014182548931412757,
"loss": 28.2796,
"step": 32
},
{
"epoch": 0.7101546738399462,
"grad_norm": 16.062442779541016,
"learning_rate": 0.0001404372005304598,
"loss": 28.5974,
"step": 33
},
{
"epoch": 0.7316745124411567,
"grad_norm": 20.767465591430664,
"learning_rate": 0.0001389480123265569,
"loss": 25.7476,
"step": 34
},
{
"epoch": 0.7531943510423672,
"grad_norm": 16.310169219970703,
"learning_rate": 0.0001373602209226909,
"loss": 27.5945,
"step": 35
},
{
"epoch": 0.7747141896435776,
"grad_norm": 16.240127563476562,
"learning_rate": 0.00013567627457812106,
"loss": 33.9283,
"step": 36
},
{
"epoch": 0.7962340282447882,
"grad_norm": 21.745182037353516,
"learning_rate": 0.00013389876981605584,
"loss": 32.0565,
"step": 37
},
{
"epoch": 0.8177538668459986,
"grad_norm": 19.725814819335938,
"learning_rate": 0.00013203044742000233,
"loss": 30.1047,
"step": 38
},
{
"epoch": 0.8392737054472091,
"grad_norm": 20.058591842651367,
"learning_rate": 0.0001300741882076764,
"loss": 32.32,
"step": 39
},
{
"epoch": 0.8607935440484197,
"grad_norm": 19.011951446533203,
"learning_rate": 0.00012803300858899104,
"loss": 31.0014,
"step": 40
},
{
"epoch": 0.8823133826496301,
"grad_norm": 14.620553970336914,
"learning_rate": 0.00012591005591497064,
"loss": 23.4541,
"step": 41
},
{
"epoch": 0.9038332212508406,
"grad_norm": 18.439016342163086,
"learning_rate": 0.00012370860362476374,
"loss": 21.9652,
"step": 42
},
{
"epoch": 0.9253530598520511,
"grad_norm": 27.745996475219727,
"learning_rate": 0.00012143204619823755,
"loss": 30.1824,
"step": 43
},
{
"epoch": 0.9468728984532616,
"grad_norm": 27.515642166137695,
"learning_rate": 0.00011908389392193547,
"loss": 30.4211,
"step": 44
},
{
"epoch": 0.968392737054472,
"grad_norm": 23.003459930419922,
"learning_rate": 0.00011666776747647015,
"loss": 32.9791,
"step": 45
},
{
"epoch": 0.9899125756556826,
"grad_norm": 22.867385864257812,
"learning_rate": 0.00011418739235369615,
"loss": 23.7823,
"step": 46
},
{
"epoch": 1.0114324142568931,
"grad_norm": 18.280826568603516,
"learning_rate": 0.00011164659311227163,
"loss": 32.527,
"step": 47
},
{
"epoch": 1.0329522528581037,
"grad_norm": 19.427658081054688,
"learning_rate": 0.00010904928748046599,
"loss": 27.8595,
"step": 48
},
{
"epoch": 1.054472091459314,
"grad_norm": 19.467891693115234,
"learning_rate": 0.0001063994803153071,
"loss": 26.26,
"step": 49
},
{
"epoch": 1.0759919300605245,
"grad_norm": 16.39354705810547,
"learning_rate": 0.00010370125742738173,
"loss": 24.7449,
"step": 50
},
{
"epoch": 1.0759919300605245,
"eval_loss": 0.8254633545875549,
"eval_runtime": 26.532,
"eval_samples_per_second": 5.917,
"eval_steps_per_second": 2.978,
"step": 50
},
{
"epoch": 1.097511768661735,
"grad_norm": 27.119155883789062,
"learning_rate": 0.00010095877928081196,
"loss": 25.2238,
"step": 51
},
{
"epoch": 1.1190316072629456,
"grad_norm": 21.737436294555664,
"learning_rate": 9.817627457812105e-05,
"loss": 24.4688,
"step": 52
},
{
"epoch": 1.1405514458641561,
"grad_norm": 18.230609893798828,
"learning_rate": 9.535803373988056e-05,
"loss": 19.7777,
"step": 53
},
{
"epoch": 1.1620712844653664,
"grad_norm": 17.096773147583008,
"learning_rate": 9.25084022891929e-05,
"loss": 26.5253,
"step": 54
},
{
"epoch": 1.183591123066577,
"grad_norm": 25.87575912475586,
"learning_rate": 8.963177415120962e-05,
"loss": 22.2069,
"step": 55
},
{
"epoch": 1.2051109616677875,
"grad_norm": 21.698827743530273,
"learning_rate": 8.673258487801731e-05,
"loss": 25.7023,
"step": 56
},
{
"epoch": 1.226630800268998,
"grad_norm": 22.29081916809082,
"learning_rate": 8.381530480933783e-05,
"loss": 23.0083,
"step": 57
},
{
"epoch": 1.2481506388702084,
"grad_norm": 19.079532623291016,
"learning_rate": 8.088443217958837e-05,
"loss": 25.0357,
"step": 58
},
{
"epoch": 1.269670477471419,
"grad_norm": 19.22806167602539,
"learning_rate": 7.794448618193015e-05,
"loss": 27.0424,
"step": 59
},
{
"epoch": 1.2911903160726295,
"grad_norm": 20.588699340820312,
"learning_rate": 7.5e-05,
"loss": 23.868,
"step": 60
},
{
"epoch": 1.31271015467384,
"grad_norm": 21.745031356811523,
"learning_rate": 7.205551381806987e-05,
"loss": 23.2284,
"step": 61
},
{
"epoch": 1.3342299932750503,
"grad_norm": 19.947467803955078,
"learning_rate": 6.911556782041163e-05,
"loss": 26.8844,
"step": 62
},
{
"epoch": 1.3557498318762609,
"grad_norm": 23.738483428955078,
"learning_rate": 6.618469519066217e-05,
"loss": 25.726,
"step": 63
}
],
"logging_steps": 1,
"max_steps": 100,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 9,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 3.3132684787266355e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}