chchen's picture
End of training
102f9c2 verified
{
"best_metric": 0.1446181833744049,
"best_model_checkpoint": "saves/psy-course-info/Llama3-OpenBioLLM-8B/train/fold7/checkpoint-100",
"epoch": 4.938271604938271,
"eval_steps": 10,
"global_step": 125,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03950617283950617,
"grad_norm": 2.8090898990631104,
"learning_rate": 7.692307692307694e-06,
"loss": 0.8452,
"step": 1
},
{
"epoch": 0.07901234567901234,
"grad_norm": 3.196436882019043,
"learning_rate": 1.5384615384615387e-05,
"loss": 1.1544,
"step": 2
},
{
"epoch": 0.11851851851851852,
"grad_norm": 3.146308183670044,
"learning_rate": 2.307692307692308e-05,
"loss": 1.0329,
"step": 3
},
{
"epoch": 0.1580246913580247,
"grad_norm": 3.1190414428710938,
"learning_rate": 3.0769230769230774e-05,
"loss": 0.9807,
"step": 4
},
{
"epoch": 0.19753086419753085,
"grad_norm": 3.179785966873169,
"learning_rate": 3.846153846153846e-05,
"loss": 0.9417,
"step": 5
},
{
"epoch": 0.23703703703703705,
"grad_norm": 3.373579263687134,
"learning_rate": 4.615384615384616e-05,
"loss": 0.9497,
"step": 6
},
{
"epoch": 0.2765432098765432,
"grad_norm": 2.7033121585845947,
"learning_rate": 5.384615384615385e-05,
"loss": 0.8615,
"step": 7
},
{
"epoch": 0.3160493827160494,
"grad_norm": 1.9419089555740356,
"learning_rate": 6.153846153846155e-05,
"loss": 0.6059,
"step": 8
},
{
"epoch": 0.35555555555555557,
"grad_norm": 1.7023926973342896,
"learning_rate": 6.923076923076924e-05,
"loss": 0.5686,
"step": 9
},
{
"epoch": 0.3950617283950617,
"grad_norm": 1.4074822664260864,
"learning_rate": 7.692307692307693e-05,
"loss": 0.5152,
"step": 10
},
{
"epoch": 0.3950617283950617,
"eval_loss": 0.40210485458374023,
"eval_runtime": 21.8904,
"eval_samples_per_second": 2.056,
"eval_steps_per_second": 2.056,
"step": 10
},
{
"epoch": 0.4345679012345679,
"grad_norm": 1.2224056720733643,
"learning_rate": 8.461538461538461e-05,
"loss": 0.4967,
"step": 11
},
{
"epoch": 0.4740740740740741,
"grad_norm": 1.158743977546692,
"learning_rate": 9.230769230769232e-05,
"loss": 0.4315,
"step": 12
},
{
"epoch": 0.5135802469135803,
"grad_norm": 1.0430325269699097,
"learning_rate": 0.0001,
"loss": 0.3754,
"step": 13
},
{
"epoch": 0.5530864197530864,
"grad_norm": 1.2053385972976685,
"learning_rate": 9.998033131915266e-05,
"loss": 0.4545,
"step": 14
},
{
"epoch": 0.5925925925925926,
"grad_norm": 0.9384275078773499,
"learning_rate": 9.992134075089084e-05,
"loss": 0.389,
"step": 15
},
{
"epoch": 0.6320987654320988,
"grad_norm": 0.9630246758460999,
"learning_rate": 9.982307470588098e-05,
"loss": 0.3299,
"step": 16
},
{
"epoch": 0.671604938271605,
"grad_norm": 1.0223737955093384,
"learning_rate": 9.968561049466214e-05,
"loss": 0.3088,
"step": 17
},
{
"epoch": 0.7111111111111111,
"grad_norm": 0.7628927230834961,
"learning_rate": 9.950905626682228e-05,
"loss": 0.2536,
"step": 18
},
{
"epoch": 0.7506172839506173,
"grad_norm": 0.8488684296607971,
"learning_rate": 9.92935509259118e-05,
"loss": 0.2138,
"step": 19
},
{
"epoch": 0.7901234567901234,
"grad_norm": 0.751465380191803,
"learning_rate": 9.903926402016153e-05,
"loss": 0.255,
"step": 20
},
{
"epoch": 0.7901234567901234,
"eval_loss": 0.24276258051395416,
"eval_runtime": 21.832,
"eval_samples_per_second": 2.061,
"eval_steps_per_second": 2.061,
"step": 20
},
{
"epoch": 0.8296296296296296,
"grad_norm": 0.7181167602539062,
"learning_rate": 9.874639560909117e-05,
"loss": 0.29,
"step": 21
},
{
"epoch": 0.8691358024691358,
"grad_norm": 0.8676367402076721,
"learning_rate": 9.841517610611309e-05,
"loss": 0.2095,
"step": 22
},
{
"epoch": 0.908641975308642,
"grad_norm": 0.7417449355125427,
"learning_rate": 9.804586609725499e-05,
"loss": 0.2106,
"step": 23
},
{
"epoch": 0.9481481481481482,
"grad_norm": 0.6582796573638916,
"learning_rate": 9.763875613614482e-05,
"loss": 0.2063,
"step": 24
},
{
"epoch": 0.9876543209876543,
"grad_norm": 0.864949107170105,
"learning_rate": 9.719416651541839e-05,
"loss": 0.2704,
"step": 25
},
{
"epoch": 1.0271604938271606,
"grad_norm": 1.4476206302642822,
"learning_rate": 9.671244701472999e-05,
"loss": 0.391,
"step": 26
},
{
"epoch": 1.0666666666666667,
"grad_norm": 0.7565575838088989,
"learning_rate": 9.619397662556435e-05,
"loss": 0.2162,
"step": 27
},
{
"epoch": 1.106172839506173,
"grad_norm": 0.8352069854736328,
"learning_rate": 9.563916325306594e-05,
"loss": 0.2008,
"step": 28
},
{
"epoch": 1.145679012345679,
"grad_norm": 0.6915799975395203,
"learning_rate": 9.504844339512095e-05,
"loss": 0.1646,
"step": 29
},
{
"epoch": 1.1851851851851851,
"grad_norm": 0.7537572979927063,
"learning_rate": 9.442228179894362e-05,
"loss": 0.1667,
"step": 30
},
{
"epoch": 1.1851851851851851,
"eval_loss": 0.1936158686876297,
"eval_runtime": 21.803,
"eval_samples_per_second": 2.064,
"eval_steps_per_second": 2.064,
"step": 30
},
{
"epoch": 1.2246913580246914,
"grad_norm": 0.8252488970756531,
"learning_rate": 9.376117109543769e-05,
"loss": 0.1747,
"step": 31
},
{
"epoch": 1.2641975308641975,
"grad_norm": 0.6539340019226074,
"learning_rate": 9.306563141162046e-05,
"loss": 0.1798,
"step": 32
},
{
"epoch": 1.3037037037037038,
"grad_norm": 0.6117671132087708,
"learning_rate": 9.233620996141421e-05,
"loss": 0.1824,
"step": 33
},
{
"epoch": 1.34320987654321,
"grad_norm": 0.6725478172302246,
"learning_rate": 9.157348061512727e-05,
"loss": 0.1933,
"step": 34
},
{
"epoch": 1.382716049382716,
"grad_norm": 0.672620415687561,
"learning_rate": 9.077804344796302e-05,
"loss": 0.1669,
"step": 35
},
{
"epoch": 1.4222222222222223,
"grad_norm": 0.7408488988876343,
"learning_rate": 8.995052426791247e-05,
"loss": 0.2236,
"step": 36
},
{
"epoch": 1.4617283950617284,
"grad_norm": 0.47701603174209595,
"learning_rate": 8.90915741234015e-05,
"loss": 0.1233,
"step": 37
},
{
"epoch": 1.5012345679012347,
"grad_norm": 0.47141847014427185,
"learning_rate": 8.820186879108038e-05,
"loss": 0.1385,
"step": 38
},
{
"epoch": 1.5407407407407407,
"grad_norm": 0.5656715631484985,
"learning_rate": 8.728210824415827e-05,
"loss": 0.1804,
"step": 39
},
{
"epoch": 1.5802469135802468,
"grad_norm": 0.7662757039070129,
"learning_rate": 8.633301610170135e-05,
"loss": 0.1828,
"step": 40
},
{
"epoch": 1.5802469135802468,
"eval_loss": 0.1701781004667282,
"eval_runtime": 21.8226,
"eval_samples_per_second": 2.062,
"eval_steps_per_second": 2.062,
"step": 40
},
{
"epoch": 1.6197530864197531,
"grad_norm": 0.5816585421562195,
"learning_rate": 8.535533905932738e-05,
"loss": 0.1401,
"step": 41
},
{
"epoch": 1.6592592592592592,
"grad_norm": 0.6936994791030884,
"learning_rate": 8.434984630174509e-05,
"loss": 0.1547,
"step": 42
},
{
"epoch": 1.6987654320987655,
"grad_norm": 0.6066691279411316,
"learning_rate": 8.33173288976002e-05,
"loss": 0.13,
"step": 43
},
{
"epoch": 1.7382716049382716,
"grad_norm": 0.7891752123832703,
"learning_rate": 8.225859917710439e-05,
"loss": 0.1853,
"step": 44
},
{
"epoch": 1.7777777777777777,
"grad_norm": 0.688183605670929,
"learning_rate": 8.117449009293668e-05,
"loss": 0.1621,
"step": 45
},
{
"epoch": 1.817283950617284,
"grad_norm": 0.7442600131034851,
"learning_rate": 8.006585456492029e-05,
"loss": 0.1836,
"step": 46
},
{
"epoch": 1.8567901234567903,
"grad_norm": 0.6249017715454102,
"learning_rate": 7.89335648089903e-05,
"loss": 0.1552,
"step": 47
},
{
"epoch": 1.8962962962962964,
"grad_norm": 0.6753774881362915,
"learning_rate": 7.777851165098012e-05,
"loss": 0.1783,
"step": 48
},
{
"epoch": 1.9358024691358025,
"grad_norm": 0.49632036685943604,
"learning_rate": 7.660160382576683e-05,
"loss": 0.1078,
"step": 49
},
{
"epoch": 1.9753086419753085,
"grad_norm": 0.4803180992603302,
"learning_rate": 7.540376726232648e-05,
"loss": 0.0999,
"step": 50
},
{
"epoch": 1.9753086419753085,
"eval_loss": 0.15381264686584473,
"eval_runtime": 21.8507,
"eval_samples_per_second": 2.059,
"eval_steps_per_second": 2.059,
"step": 50
},
{
"epoch": 2.0148148148148146,
"grad_norm": 0.989392876625061,
"learning_rate": 7.4185944355262e-05,
"loss": 0.2619,
"step": 51
},
{
"epoch": 2.054320987654321,
"grad_norm": 0.550094723701477,
"learning_rate": 7.294909322337689e-05,
"loss": 0.1388,
"step": 52
},
{
"epoch": 2.093827160493827,
"grad_norm": 0.5499678254127502,
"learning_rate": 7.169418695587791e-05,
"loss": 0.1172,
"step": 53
},
{
"epoch": 2.1333333333333333,
"grad_norm": 0.7452659010887146,
"learning_rate": 7.042221284679982e-05,
"loss": 0.1775,
"step": 54
},
{
"epoch": 2.1728395061728394,
"grad_norm": 0.6021642088890076,
"learning_rate": 6.91341716182545e-05,
"loss": 0.0988,
"step": 55
},
{
"epoch": 2.212345679012346,
"grad_norm": 0.538462221622467,
"learning_rate": 6.783107663311565e-05,
"loss": 0.0882,
"step": 56
},
{
"epoch": 2.251851851851852,
"grad_norm": 0.6635704040527344,
"learning_rate": 6.651395309775837e-05,
"loss": 0.1304,
"step": 57
},
{
"epoch": 2.291358024691358,
"grad_norm": 0.5516647100448608,
"learning_rate": 6.518383725548074e-05,
"loss": 0.1219,
"step": 58
},
{
"epoch": 2.330864197530864,
"grad_norm": 0.9784972071647644,
"learning_rate": 6.384177557124247e-05,
"loss": 0.1535,
"step": 59
},
{
"epoch": 2.3703703703703702,
"grad_norm": 0.635651171207428,
"learning_rate": 6.248882390836135e-05,
"loss": 0.0806,
"step": 60
},
{
"epoch": 2.3703703703703702,
"eval_loss": 0.14715269207954407,
"eval_runtime": 21.8498,
"eval_samples_per_second": 2.06,
"eval_steps_per_second": 2.06,
"step": 60
},
{
"epoch": 2.4098765432098768,
"grad_norm": 0.6960918307304382,
"learning_rate": 6.112604669781572e-05,
"loss": 0.139,
"step": 61
},
{
"epoch": 2.449382716049383,
"grad_norm": 0.6210731863975525,
"learning_rate": 5.9754516100806423e-05,
"loss": 0.1122,
"step": 62
},
{
"epoch": 2.488888888888889,
"grad_norm": 0.67148357629776,
"learning_rate": 5.837531116523682e-05,
"loss": 0.0944,
"step": 63
},
{
"epoch": 2.528395061728395,
"grad_norm": 0.6136399507522583,
"learning_rate": 5.698951697677498e-05,
"loss": 0.0979,
"step": 64
},
{
"epoch": 2.567901234567901,
"grad_norm": 0.6648707985877991,
"learning_rate": 5.559822380516539e-05,
"loss": 0.1205,
"step": 65
},
{
"epoch": 2.6074074074074076,
"grad_norm": 0.789014995098114,
"learning_rate": 5.420252624646238e-05,
"loss": 0.1153,
"step": 66
},
{
"epoch": 2.6469135802469137,
"grad_norm": 0.5909283757209778,
"learning_rate": 5.2803522361859594e-05,
"loss": 0.0878,
"step": 67
},
{
"epoch": 2.68641975308642,
"grad_norm": 0.7139335870742798,
"learning_rate": 5.140231281379345e-05,
"loss": 0.111,
"step": 68
},
{
"epoch": 2.725925925925926,
"grad_norm": 0.9861350059509277,
"learning_rate": 5e-05,
"loss": 0.1111,
"step": 69
},
{
"epoch": 2.765432098765432,
"grad_norm": 0.6590979695320129,
"learning_rate": 4.859768718620656e-05,
"loss": 0.0949,
"step": 70
},
{
"epoch": 2.765432098765432,
"eval_loss": 0.1566891223192215,
"eval_runtime": 21.8443,
"eval_samples_per_second": 2.06,
"eval_steps_per_second": 2.06,
"step": 70
},
{
"epoch": 2.8049382716049385,
"grad_norm": 0.7557806968688965,
"learning_rate": 4.7196477638140404e-05,
"loss": 0.1166,
"step": 71
},
{
"epoch": 2.8444444444444446,
"grad_norm": 0.8364277482032776,
"learning_rate": 4.579747375353763e-05,
"loss": 0.1241,
"step": 72
},
{
"epoch": 2.8839506172839506,
"grad_norm": 0.806387186050415,
"learning_rate": 4.4401776194834613e-05,
"loss": 0.109,
"step": 73
},
{
"epoch": 2.9234567901234567,
"grad_norm": 0.6932835578918457,
"learning_rate": 4.3010483023225045e-05,
"loss": 0.0942,
"step": 74
},
{
"epoch": 2.962962962962963,
"grad_norm": 0.7545567750930786,
"learning_rate": 4.162468883476319e-05,
"loss": 0.0957,
"step": 75
},
{
"epoch": 3.0024691358024693,
"grad_norm": 1.3815081119537354,
"learning_rate": 4.0245483899193595e-05,
"loss": 0.1282,
"step": 76
},
{
"epoch": 3.0419753086419754,
"grad_norm": 0.5079225301742554,
"learning_rate": 3.887395330218429e-05,
"loss": 0.0594,
"step": 77
},
{
"epoch": 3.0814814814814815,
"grad_norm": 0.4906536042690277,
"learning_rate": 3.7511176091638653e-05,
"loss": 0.0569,
"step": 78
},
{
"epoch": 3.1209876543209876,
"grad_norm": 0.46550002694129944,
"learning_rate": 3.6158224428757535e-05,
"loss": 0.0663,
"step": 79
},
{
"epoch": 3.1604938271604937,
"grad_norm": 0.5002123117446899,
"learning_rate": 3.4816162744519263e-05,
"loss": 0.0817,
"step": 80
},
{
"epoch": 3.1604938271604937,
"eval_loss": 0.14886444807052612,
"eval_runtime": 21.893,
"eval_samples_per_second": 2.055,
"eval_steps_per_second": 2.055,
"step": 80
},
{
"epoch": 3.2,
"grad_norm": 0.5167155861854553,
"learning_rate": 3.3486046902241664e-05,
"loss": 0.0684,
"step": 81
},
{
"epoch": 3.2395061728395063,
"grad_norm": 0.5850850939750671,
"learning_rate": 3.216892336688435e-05,
"loss": 0.0886,
"step": 82
},
{
"epoch": 3.2790123456790123,
"grad_norm": 0.5644994974136353,
"learning_rate": 3.086582838174551e-05,
"loss": 0.0723,
"step": 83
},
{
"epoch": 3.3185185185185184,
"grad_norm": 0.6688368916511536,
"learning_rate": 2.9577787153200197e-05,
"loss": 0.0899,
"step": 84
},
{
"epoch": 3.3580246913580245,
"grad_norm": 0.6288519501686096,
"learning_rate": 2.8305813044122097e-05,
"loss": 0.0866,
"step": 85
},
{
"epoch": 3.397530864197531,
"grad_norm": 0.6659860610961914,
"learning_rate": 2.705090677662311e-05,
"loss": 0.076,
"step": 86
},
{
"epoch": 3.437037037037037,
"grad_norm": 0.8878741264343262,
"learning_rate": 2.581405564473801e-05,
"loss": 0.095,
"step": 87
},
{
"epoch": 3.476543209876543,
"grad_norm": 0.5188856720924377,
"learning_rate": 2.459623273767354e-05,
"loss": 0.0745,
"step": 88
},
{
"epoch": 3.5160493827160493,
"grad_norm": 0.5599380731582642,
"learning_rate": 2.3398396174233178e-05,
"loss": 0.0697,
"step": 89
},
{
"epoch": 3.5555555555555554,
"grad_norm": 0.6973344087600708,
"learning_rate": 2.2221488349019903e-05,
"loss": 0.0966,
"step": 90
},
{
"epoch": 3.5555555555555554,
"eval_loss": 0.14620588719844818,
"eval_runtime": 21.8797,
"eval_samples_per_second": 2.057,
"eval_steps_per_second": 2.057,
"step": 90
},
{
"epoch": 3.595061728395062,
"grad_norm": 0.6226915717124939,
"learning_rate": 2.1066435191009715e-05,
"loss": 0.0472,
"step": 91
},
{
"epoch": 3.634567901234568,
"grad_norm": 0.8030417561531067,
"learning_rate": 1.9934145435079702e-05,
"loss": 0.112,
"step": 92
},
{
"epoch": 3.674074074074074,
"grad_norm": 0.7283187508583069,
"learning_rate": 1.8825509907063327e-05,
"loss": 0.0814,
"step": 93
},
{
"epoch": 3.71358024691358,
"grad_norm": 0.5894272327423096,
"learning_rate": 1.774140082289563e-05,
"loss": 0.0691,
"step": 94
},
{
"epoch": 3.753086419753086,
"grad_norm": 0.6748326420783997,
"learning_rate": 1.6682671102399805e-05,
"loss": 0.089,
"step": 95
},
{
"epoch": 3.7925925925925927,
"grad_norm": 0.5697019100189209,
"learning_rate": 1.5650153698254916e-05,
"loss": 0.0681,
"step": 96
},
{
"epoch": 3.832098765432099,
"grad_norm": 0.6080767512321472,
"learning_rate": 1.4644660940672627e-05,
"loss": 0.0674,
"step": 97
},
{
"epoch": 3.871604938271605,
"grad_norm": 0.7150622010231018,
"learning_rate": 1.3666983898298657e-05,
"loss": 0.0988,
"step": 98
},
{
"epoch": 3.911111111111111,
"grad_norm": 0.6841306090354919,
"learning_rate": 1.2717891755841722e-05,
"loss": 0.0963,
"step": 99
},
{
"epoch": 3.950617283950617,
"grad_norm": 0.48094356060028076,
"learning_rate": 1.1798131208919627e-05,
"loss": 0.0643,
"step": 100
},
{
"epoch": 3.950617283950617,
"eval_loss": 0.1446181833744049,
"eval_runtime": 21.888,
"eval_samples_per_second": 2.056,
"eval_steps_per_second": 2.056,
"step": 100
},
{
"epoch": 3.9901234567901236,
"grad_norm": 1.0606417655944824,
"learning_rate": 1.090842587659851e-05,
"loss": 0.1115,
"step": 101
},
{
"epoch": 4.029629629629629,
"grad_norm": 0.9782896637916565,
"learning_rate": 1.004947573208756e-05,
"loss": 0.1218,
"step": 102
},
{
"epoch": 4.069135802469136,
"grad_norm": 0.5276650190353394,
"learning_rate": 9.221956552036992e-06,
"loss": 0.0614,
"step": 103
},
{
"epoch": 4.108641975308642,
"grad_norm": 0.5087840557098389,
"learning_rate": 8.426519384872733e-06,
"loss": 0.0473,
"step": 104
},
{
"epoch": 4.148148148148148,
"grad_norm": 0.507355809211731,
"learning_rate": 7.663790038585793e-06,
"loss": 0.0593,
"step": 105
},
{
"epoch": 4.187654320987654,
"grad_norm": 0.49832481145858765,
"learning_rate": 6.934368588379553e-06,
"loss": 0.0521,
"step": 106
},
{
"epoch": 4.22716049382716,
"grad_norm": 0.5444963574409485,
"learning_rate": 6.238828904562316e-06,
"loss": 0.0677,
"step": 107
},
{
"epoch": 4.266666666666667,
"grad_norm": 0.5338418483734131,
"learning_rate": 5.577718201056392e-06,
"loss": 0.0691,
"step": 108
},
{
"epoch": 4.306172839506173,
"grad_norm": 0.608767569065094,
"learning_rate": 4.951556604879048e-06,
"loss": 0.0796,
"step": 109
},
{
"epoch": 4.345679012345679,
"grad_norm": 0.6579325795173645,
"learning_rate": 4.360836746934055e-06,
"loss": 0.0684,
"step": 110
},
{
"epoch": 4.345679012345679,
"eval_loss": 0.14537793397903442,
"eval_runtime": 21.9242,
"eval_samples_per_second": 2.053,
"eval_steps_per_second": 2.053,
"step": 110
},
{
"epoch": 4.385185185185185,
"grad_norm": 0.48264560103416443,
"learning_rate": 3.8060233744356633e-06,
"loss": 0.0486,
"step": 111
},
{
"epoch": 4.424691358024692,
"grad_norm": 0.7303544878959656,
"learning_rate": 3.2875529852700147e-06,
"loss": 0.1129,
"step": 112
},
{
"epoch": 4.4641975308641975,
"grad_norm": 0.48692673444747925,
"learning_rate": 2.8058334845816213e-06,
"loss": 0.0583,
"step": 113
},
{
"epoch": 4.503703703703704,
"grad_norm": 0.516774594783783,
"learning_rate": 2.361243863855184e-06,
"loss": 0.0681,
"step": 114
},
{
"epoch": 4.54320987654321,
"grad_norm": 0.49828052520751953,
"learning_rate": 1.9541339027450256e-06,
"loss": 0.0426,
"step": 115
},
{
"epoch": 4.582716049382716,
"grad_norm": 0.38917046785354614,
"learning_rate": 1.584823893886933e-06,
"loss": 0.045,
"step": 116
},
{
"epoch": 4.622222222222222,
"grad_norm": 0.46058839559555054,
"learning_rate": 1.2536043909088191e-06,
"loss": 0.0382,
"step": 117
},
{
"epoch": 4.661728395061728,
"grad_norm": 0.5386350750923157,
"learning_rate": 9.607359798384785e-07,
"loss": 0.0704,
"step": 118
},
{
"epoch": 4.701234567901235,
"grad_norm": 0.42913708090782166,
"learning_rate": 7.064490740882057e-07,
"loss": 0.0463,
"step": 119
},
{
"epoch": 4.7407407407407405,
"grad_norm": 0.4173838794231415,
"learning_rate": 4.909437331777179e-07,
"loss": 0.0564,
"step": 120
},
{
"epoch": 4.7407407407407405,
"eval_loss": 0.145659938454628,
"eval_runtime": 21.884,
"eval_samples_per_second": 2.056,
"eval_steps_per_second": 2.056,
"step": 120
},
{
"epoch": 4.780246913580247,
"grad_norm": 0.541107177734375,
"learning_rate": 3.143895053378698e-07,
"loss": 0.0667,
"step": 121
},
{
"epoch": 4.8197530864197535,
"grad_norm": 0.6090491414070129,
"learning_rate": 1.7692529411904578e-07,
"loss": 0.0855,
"step": 122
},
{
"epoch": 4.859259259259259,
"grad_norm": 0.5394759178161621,
"learning_rate": 7.865924910916977e-08,
"loss": 0.0819,
"step": 123
},
{
"epoch": 4.898765432098766,
"grad_norm": 0.5912527441978455,
"learning_rate": 1.9668680847356735e-08,
"loss": 0.0643,
"step": 124
},
{
"epoch": 4.938271604938271,
"grad_norm": 0.5840889811515808,
"learning_rate": 0.0,
"loss": 0.0573,
"step": 125
},
{
"epoch": 4.938271604938271,
"step": 125,
"total_flos": 1.252407866106839e+17,
"train_loss": 0.19367746832966803,
"train_runtime": 3417.3047,
"train_samples_per_second": 0.593,
"train_steps_per_second": 0.037
}
],
"logging_steps": 1,
"max_steps": 125,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 10,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.252407866106839e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}