sedrickkeh's picture
End of training
994883e verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.9953632148377123,
"eval_steps": 500,
"global_step": 969,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.030911901081916538,
"grad_norm": 2.0187587823402606,
"learning_rate": 5e-06,
"loss": 0.9224,
"step": 10
},
{
"epoch": 0.061823802163833076,
"grad_norm": 5.23374455774046,
"learning_rate": 5e-06,
"loss": 0.8169,
"step": 20
},
{
"epoch": 0.09273570324574962,
"grad_norm": 1.1567925380600657,
"learning_rate": 5e-06,
"loss": 0.7799,
"step": 30
},
{
"epoch": 0.12364760432766615,
"grad_norm": 1.3555247489499298,
"learning_rate": 5e-06,
"loss": 0.7536,
"step": 40
},
{
"epoch": 0.1545595054095827,
"grad_norm": 0.8540206480635643,
"learning_rate": 5e-06,
"loss": 0.7412,
"step": 50
},
{
"epoch": 0.18547140649149924,
"grad_norm": 1.0411208272577643,
"learning_rate": 5e-06,
"loss": 0.7188,
"step": 60
},
{
"epoch": 0.21638330757341576,
"grad_norm": 0.772135725000269,
"learning_rate": 5e-06,
"loss": 0.7099,
"step": 70
},
{
"epoch": 0.2472952086553323,
"grad_norm": 0.718962153128519,
"learning_rate": 5e-06,
"loss": 0.7044,
"step": 80
},
{
"epoch": 0.2782071097372488,
"grad_norm": 0.9018851336703633,
"learning_rate": 5e-06,
"loss": 0.7042,
"step": 90
},
{
"epoch": 0.3091190108191654,
"grad_norm": 0.5501975291936315,
"learning_rate": 5e-06,
"loss": 0.6898,
"step": 100
},
{
"epoch": 0.3400309119010819,
"grad_norm": 0.8644622620986302,
"learning_rate": 5e-06,
"loss": 0.6901,
"step": 110
},
{
"epoch": 0.37094281298299847,
"grad_norm": 0.5948602458220357,
"learning_rate": 5e-06,
"loss": 0.6828,
"step": 120
},
{
"epoch": 0.401854714064915,
"grad_norm": 0.720162590208508,
"learning_rate": 5e-06,
"loss": 0.6858,
"step": 130
},
{
"epoch": 0.4327666151468315,
"grad_norm": 0.5833952154939747,
"learning_rate": 5e-06,
"loss": 0.6745,
"step": 140
},
{
"epoch": 0.46367851622874806,
"grad_norm": 0.6768653844503261,
"learning_rate": 5e-06,
"loss": 0.6764,
"step": 150
},
{
"epoch": 0.4945904173106646,
"grad_norm": 0.5707017440465438,
"learning_rate": 5e-06,
"loss": 0.6734,
"step": 160
},
{
"epoch": 0.5255023183925811,
"grad_norm": 0.52632417149709,
"learning_rate": 5e-06,
"loss": 0.6746,
"step": 170
},
{
"epoch": 0.5564142194744977,
"grad_norm": 0.5660566537871714,
"learning_rate": 5e-06,
"loss": 0.6654,
"step": 180
},
{
"epoch": 0.5873261205564142,
"grad_norm": 0.6150804490960232,
"learning_rate": 5e-06,
"loss": 0.6669,
"step": 190
},
{
"epoch": 0.6182380216383307,
"grad_norm": 0.5523983219898584,
"learning_rate": 5e-06,
"loss": 0.6722,
"step": 200
},
{
"epoch": 0.6491499227202473,
"grad_norm": 0.7211222999715671,
"learning_rate": 5e-06,
"loss": 0.6689,
"step": 210
},
{
"epoch": 0.6800618238021638,
"grad_norm": 0.7196378524123959,
"learning_rate": 5e-06,
"loss": 0.6685,
"step": 220
},
{
"epoch": 0.7109737248840804,
"grad_norm": 0.7400759740386526,
"learning_rate": 5e-06,
"loss": 0.6637,
"step": 230
},
{
"epoch": 0.7418856259659969,
"grad_norm": 0.5515081055008348,
"learning_rate": 5e-06,
"loss": 0.6602,
"step": 240
},
{
"epoch": 0.7727975270479135,
"grad_norm": 0.5306297630685508,
"learning_rate": 5e-06,
"loss": 0.6641,
"step": 250
},
{
"epoch": 0.80370942812983,
"grad_norm": 0.5220389228174283,
"learning_rate": 5e-06,
"loss": 0.657,
"step": 260
},
{
"epoch": 0.8346213292117465,
"grad_norm": 0.5736057539218636,
"learning_rate": 5e-06,
"loss": 0.6606,
"step": 270
},
{
"epoch": 0.865533230293663,
"grad_norm": 0.6831384912164588,
"learning_rate": 5e-06,
"loss": 0.6604,
"step": 280
},
{
"epoch": 0.8964451313755796,
"grad_norm": 0.6555441815061606,
"learning_rate": 5e-06,
"loss": 0.6617,
"step": 290
},
{
"epoch": 0.9273570324574961,
"grad_norm": 0.5107130356234296,
"learning_rate": 5e-06,
"loss": 0.6577,
"step": 300
},
{
"epoch": 0.9582689335394127,
"grad_norm": 0.5294921581221994,
"learning_rate": 5e-06,
"loss": 0.6554,
"step": 310
},
{
"epoch": 0.9891808346213292,
"grad_norm": 0.5933706977854671,
"learning_rate": 5e-06,
"loss": 0.6662,
"step": 320
},
{
"epoch": 0.9984544049459042,
"eval_loss": 0.6590365171432495,
"eval_runtime": 113.7467,
"eval_samples_per_second": 76.618,
"eval_steps_per_second": 0.607,
"step": 323
},
{
"epoch": 1.0200927357032457,
"grad_norm": 0.6466092267278452,
"learning_rate": 5e-06,
"loss": 0.6283,
"step": 330
},
{
"epoch": 1.0510046367851622,
"grad_norm": 0.5455963224340917,
"learning_rate": 5e-06,
"loss": 0.6142,
"step": 340
},
{
"epoch": 1.0819165378670788,
"grad_norm": 0.5457563493460516,
"learning_rate": 5e-06,
"loss": 0.6136,
"step": 350
},
{
"epoch": 1.1128284389489953,
"grad_norm": 0.5123524043102256,
"learning_rate": 5e-06,
"loss": 0.6186,
"step": 360
},
{
"epoch": 1.1437403400309119,
"grad_norm": 0.6133162659271869,
"learning_rate": 5e-06,
"loss": 0.612,
"step": 370
},
{
"epoch": 1.1746522411128284,
"grad_norm": 0.531392662924999,
"learning_rate": 5e-06,
"loss": 0.6093,
"step": 380
},
{
"epoch": 1.205564142194745,
"grad_norm": 0.5434898390306484,
"learning_rate": 5e-06,
"loss": 0.6031,
"step": 390
},
{
"epoch": 1.2364760432766615,
"grad_norm": 0.665502589919703,
"learning_rate": 5e-06,
"loss": 0.6153,
"step": 400
},
{
"epoch": 1.267387944358578,
"grad_norm": 0.5263248988074614,
"learning_rate": 5e-06,
"loss": 0.6154,
"step": 410
},
{
"epoch": 1.2982998454404946,
"grad_norm": 0.6348966883540149,
"learning_rate": 5e-06,
"loss": 0.6112,
"step": 420
},
{
"epoch": 1.3292117465224111,
"grad_norm": 0.5230511187445398,
"learning_rate": 5e-06,
"loss": 0.6121,
"step": 430
},
{
"epoch": 1.3601236476043277,
"grad_norm": 0.5500625021812695,
"learning_rate": 5e-06,
"loss": 0.6109,
"step": 440
},
{
"epoch": 1.3910355486862442,
"grad_norm": 0.7153093571149675,
"learning_rate": 5e-06,
"loss": 0.6123,
"step": 450
},
{
"epoch": 1.4219474497681608,
"grad_norm": 0.6382419366334218,
"learning_rate": 5e-06,
"loss": 0.6188,
"step": 460
},
{
"epoch": 1.4528593508500773,
"grad_norm": 0.5471481346135804,
"learning_rate": 5e-06,
"loss": 0.6179,
"step": 470
},
{
"epoch": 1.4837712519319939,
"grad_norm": 0.5409301526875265,
"learning_rate": 5e-06,
"loss": 0.6121,
"step": 480
},
{
"epoch": 1.5146831530139102,
"grad_norm": 0.5070509983871482,
"learning_rate": 5e-06,
"loss": 0.6081,
"step": 490
},
{
"epoch": 1.545595054095827,
"grad_norm": 0.6049383227511866,
"learning_rate": 5e-06,
"loss": 0.6111,
"step": 500
},
{
"epoch": 1.5765069551777433,
"grad_norm": 0.5173228367317094,
"learning_rate": 5e-06,
"loss": 0.6088,
"step": 510
},
{
"epoch": 1.60741885625966,
"grad_norm": 0.5087487433614813,
"learning_rate": 5e-06,
"loss": 0.6077,
"step": 520
},
{
"epoch": 1.6383307573415764,
"grad_norm": 0.6681086881393504,
"learning_rate": 5e-06,
"loss": 0.6073,
"step": 530
},
{
"epoch": 1.6692426584234932,
"grad_norm": 0.9262470601774611,
"learning_rate": 5e-06,
"loss": 0.6088,
"step": 540
},
{
"epoch": 1.7001545595054095,
"grad_norm": 0.5528042557953681,
"learning_rate": 5e-06,
"loss": 0.6163,
"step": 550
},
{
"epoch": 1.7310664605873263,
"grad_norm": 0.5064527021504606,
"learning_rate": 5e-06,
"loss": 0.6064,
"step": 560
},
{
"epoch": 1.7619783616692426,
"grad_norm": 0.5307893550951357,
"learning_rate": 5e-06,
"loss": 0.6132,
"step": 570
},
{
"epoch": 1.7928902627511591,
"grad_norm": 0.5363288571581243,
"learning_rate": 5e-06,
"loss": 0.6142,
"step": 580
},
{
"epoch": 1.8238021638330757,
"grad_norm": 0.4985720023183297,
"learning_rate": 5e-06,
"loss": 0.6176,
"step": 590
},
{
"epoch": 1.8547140649149922,
"grad_norm": 0.5256325470444526,
"learning_rate": 5e-06,
"loss": 0.6126,
"step": 600
},
{
"epoch": 1.8856259659969088,
"grad_norm": 0.6274813396972104,
"learning_rate": 5e-06,
"loss": 0.612,
"step": 610
},
{
"epoch": 1.9165378670788253,
"grad_norm": 0.5789315780747083,
"learning_rate": 5e-06,
"loss": 0.6125,
"step": 620
},
{
"epoch": 1.947449768160742,
"grad_norm": 0.5907958566056928,
"learning_rate": 5e-06,
"loss": 0.6062,
"step": 630
},
{
"epoch": 1.9783616692426584,
"grad_norm": 0.5292904118235623,
"learning_rate": 5e-06,
"loss": 0.6121,
"step": 640
},
{
"epoch": 2.0,
"eval_loss": 0.6483988761901855,
"eval_runtime": 114.5876,
"eval_samples_per_second": 76.055,
"eval_steps_per_second": 0.602,
"step": 647
},
{
"epoch": 2.009273570324575,
"grad_norm": 1.0140873239994894,
"learning_rate": 5e-06,
"loss": 0.597,
"step": 650
},
{
"epoch": 2.0401854714064913,
"grad_norm": 0.630334813080006,
"learning_rate": 5e-06,
"loss": 0.5614,
"step": 660
},
{
"epoch": 2.071097372488408,
"grad_norm": 0.7038598022498512,
"learning_rate": 5e-06,
"loss": 0.5613,
"step": 670
},
{
"epoch": 2.1020092735703244,
"grad_norm": 0.625422416199728,
"learning_rate": 5e-06,
"loss": 0.5652,
"step": 680
},
{
"epoch": 2.132921174652241,
"grad_norm": 0.6504517407003202,
"learning_rate": 5e-06,
"loss": 0.5646,
"step": 690
},
{
"epoch": 2.1638330757341575,
"grad_norm": 0.6005779084691315,
"learning_rate": 5e-06,
"loss": 0.5635,
"step": 700
},
{
"epoch": 2.1947449768160743,
"grad_norm": 0.5153825857145766,
"learning_rate": 5e-06,
"loss": 0.5642,
"step": 710
},
{
"epoch": 2.2256568778979906,
"grad_norm": 0.6609026821979475,
"learning_rate": 5e-06,
"loss": 0.5636,
"step": 720
},
{
"epoch": 2.2565687789799074,
"grad_norm": 0.7763886247938674,
"learning_rate": 5e-06,
"loss": 0.5646,
"step": 730
},
{
"epoch": 2.2874806800618237,
"grad_norm": 0.5940744564359401,
"learning_rate": 5e-06,
"loss": 0.566,
"step": 740
},
{
"epoch": 2.3183925811437405,
"grad_norm": 0.8987915044882564,
"learning_rate": 5e-06,
"loss": 0.5639,
"step": 750
},
{
"epoch": 2.349304482225657,
"grad_norm": 0.7853307481543791,
"learning_rate": 5e-06,
"loss": 0.5652,
"step": 760
},
{
"epoch": 2.3802163833075736,
"grad_norm": 0.5555357862981527,
"learning_rate": 5e-06,
"loss": 0.5695,
"step": 770
},
{
"epoch": 2.41112828438949,
"grad_norm": 0.5858397000016529,
"learning_rate": 5e-06,
"loss": 0.5674,
"step": 780
},
{
"epoch": 2.4420401854714067,
"grad_norm": 0.5809649704126684,
"learning_rate": 5e-06,
"loss": 0.5666,
"step": 790
},
{
"epoch": 2.472952086553323,
"grad_norm": 0.6079171026499909,
"learning_rate": 5e-06,
"loss": 0.5662,
"step": 800
},
{
"epoch": 2.5038639876352393,
"grad_norm": 0.6460104668614653,
"learning_rate": 5e-06,
"loss": 0.5724,
"step": 810
},
{
"epoch": 2.534775888717156,
"grad_norm": 0.5036700308469926,
"learning_rate": 5e-06,
"loss": 0.5689,
"step": 820
},
{
"epoch": 2.565687789799073,
"grad_norm": 0.5720133645014428,
"learning_rate": 5e-06,
"loss": 0.5694,
"step": 830
},
{
"epoch": 2.596599690880989,
"grad_norm": 0.4978320121327588,
"learning_rate": 5e-06,
"loss": 0.5688,
"step": 840
},
{
"epoch": 2.6275115919629055,
"grad_norm": 0.5742589206659079,
"learning_rate": 5e-06,
"loss": 0.5677,
"step": 850
},
{
"epoch": 2.6584234930448223,
"grad_norm": 0.8122081568789994,
"learning_rate": 5e-06,
"loss": 0.5685,
"step": 860
},
{
"epoch": 2.689335394126739,
"grad_norm": 0.5964179415080593,
"learning_rate": 5e-06,
"loss": 0.5695,
"step": 870
},
{
"epoch": 2.7202472952086554,
"grad_norm": 0.5560894480978509,
"learning_rate": 5e-06,
"loss": 0.5718,
"step": 880
},
{
"epoch": 2.7511591962905717,
"grad_norm": 0.5757117113268359,
"learning_rate": 5e-06,
"loss": 0.5696,
"step": 890
},
{
"epoch": 2.7820710973724885,
"grad_norm": 0.5435787690358811,
"learning_rate": 5e-06,
"loss": 0.5676,
"step": 900
},
{
"epoch": 2.812982998454405,
"grad_norm": 0.6300976369973321,
"learning_rate": 5e-06,
"loss": 0.5725,
"step": 910
},
{
"epoch": 2.8438948995363216,
"grad_norm": 0.6341460273574823,
"learning_rate": 5e-06,
"loss": 0.5699,
"step": 920
},
{
"epoch": 2.874806800618238,
"grad_norm": 0.6961502333247155,
"learning_rate": 5e-06,
"loss": 0.5694,
"step": 930
},
{
"epoch": 2.9057187017001547,
"grad_norm": 0.5370380886104864,
"learning_rate": 5e-06,
"loss": 0.5712,
"step": 940
},
{
"epoch": 2.936630602782071,
"grad_norm": 0.595358378564684,
"learning_rate": 5e-06,
"loss": 0.5691,
"step": 950
},
{
"epoch": 2.9675425038639878,
"grad_norm": 0.5413573519766721,
"learning_rate": 5e-06,
"loss": 0.5679,
"step": 960
},
{
"epoch": 2.9953632148377123,
"eval_loss": 0.6511133909225464,
"eval_runtime": 110.2332,
"eval_samples_per_second": 79.06,
"eval_steps_per_second": 0.626,
"step": 969
},
{
"epoch": 2.9953632148377123,
"step": 969,
"total_flos": 1622692331520000.0,
"train_loss": 0.6248709833166793,
"train_runtime": 16382.8374,
"train_samples_per_second": 30.32,
"train_steps_per_second": 0.059
}
],
"logging_steps": 10,
"max_steps": 969,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1622692331520000.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}