segmenter-distill-v0.2 / trainer_state.json
adalbertojunior's picture
Upload 8 files
ba43331 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9118125313435558,
"eval_steps": 100,
"global_step": 7500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.012157500417914077,
"eval_accuracy": 0.9982292163897571,
"eval_f1": 0.5714285714285715,
"eval_loss": NaN,
"eval_precision": 0.5992217898832685,
"eval_recall": 0.5460992907801419,
"eval_runtime": 4.2246,
"eval_samples_per_second": 12.072,
"eval_steps_per_second": 12.072,
"step": 100
},
{
"epoch": 0.024315000835828153,
"eval_accuracy": 0.9979520502594583,
"eval_f1": 0.561128526645768,
"eval_loss": NaN,
"eval_precision": 0.5028089887640449,
"eval_recall": 0.6347517730496454,
"eval_runtime": 4.0691,
"eval_samples_per_second": 12.534,
"eval_steps_per_second": 12.534,
"step": 200
},
{
"epoch": 0.03647250125374223,
"eval_accuracy": 0.9982908088631569,
"eval_f1": 0.6003401360544217,
"eval_loss": NaN,
"eval_precision": 0.576797385620915,
"eval_recall": 0.625886524822695,
"eval_runtime": 3.8202,
"eval_samples_per_second": 13.35,
"eval_steps_per_second": 13.35,
"step": 300
},
{
"epoch": 0.048630001671656306,
"eval_accuracy": 0.9983370032182067,
"eval_f1": 0.5949579831932772,
"eval_loss": NaN,
"eval_precision": 0.5654952076677316,
"eval_recall": 0.6276595744680851,
"eval_runtime": 3.892,
"eval_samples_per_second": 13.104,
"eval_steps_per_second": 13.104,
"step": 400
},
{
"epoch": 0.060787502089570386,
"grad_norm": 0.56640625,
"learning_rate": 9.39209726443769e-05,
"loss": 0.0667,
"step": 500
},
{
"epoch": 0.060787502089570386,
"eval_accuracy": 0.9980906333246077,
"eval_f1": 0.5690789473684211,
"eval_loss": NaN,
"eval_precision": 0.5306748466257669,
"eval_recall": 0.6134751773049646,
"eval_runtime": 3.9741,
"eval_samples_per_second": 12.833,
"eval_steps_per_second": 12.833,
"step": 500
},
{
"epoch": 0.07294500250748447,
"eval_accuracy": 0.9981522257980074,
"eval_f1": 0.5753646677471637,
"eval_loss": NaN,
"eval_precision": 0.5298507462686567,
"eval_recall": 0.6294326241134752,
"eval_runtime": 3.9469,
"eval_samples_per_second": 12.922,
"eval_steps_per_second": 12.922,
"step": 600
},
{
"epoch": 0.08510250292539853,
"eval_accuracy": 0.9983524013365567,
"eval_f1": 0.608108108108108,
"eval_loss": NaN,
"eval_precision": 0.5806451612903226,
"eval_recall": 0.6382978723404256,
"eval_runtime": 4.9419,
"eval_samples_per_second": 10.32,
"eval_steps_per_second": 10.32,
"step": 700
},
{
"epoch": 0.09726000334331261,
"eval_accuracy": 0.9978904577860586,
"eval_f1": 0.5460317460317461,
"eval_loss": NaN,
"eval_precision": 0.4942528735632184,
"eval_recall": 0.6099290780141844,
"eval_runtime": 3.9464,
"eval_samples_per_second": 12.923,
"eval_steps_per_second": 12.923,
"step": 800
},
{
"epoch": 0.10941750376122669,
"eval_accuracy": 0.9981984201530573,
"eval_f1": 0.5831960461285007,
"eval_loss": NaN,
"eval_precision": 0.5446153846153846,
"eval_recall": 0.6276595744680851,
"eval_runtime": 3.9207,
"eval_samples_per_second": 13.008,
"eval_steps_per_second": 13.008,
"step": 900
},
{
"epoch": 0.12157500417914077,
"grad_norm": 0.49609375,
"learning_rate": 8.78419452887538e-05,
"loss": 0.0273,
"step": 1000
},
{
"epoch": 0.12157500417914077,
"eval_accuracy": 0.9981368276796575,
"eval_f1": 0.5692821368948245,
"eval_loss": NaN,
"eval_precision": 0.5378548895899053,
"eval_recall": 0.6046099290780141,
"eval_runtime": 3.9151,
"eval_samples_per_second": 13.026,
"eval_steps_per_second": 13.026,
"step": 1000
},
{
"epoch": 0.13373250459705485,
"eval_accuracy": 0.9985679749934558,
"eval_f1": 0.6378091872791519,
"eval_loss": NaN,
"eval_precision": 0.6355633802816901,
"eval_recall": 0.6400709219858156,
"eval_runtime": 3.9167,
"eval_samples_per_second": 13.021,
"eval_steps_per_second": 13.021,
"step": 1100
},
{
"epoch": 0.14589000501496893,
"eval_accuracy": 0.9982446145081071,
"eval_f1": 0.5888324873096447,
"eval_loss": NaN,
"eval_precision": 0.5631067961165048,
"eval_recall": 0.6170212765957447,
"eval_runtime": 3.9347,
"eval_samples_per_second": 12.962,
"eval_steps_per_second": 12.962,
"step": 1200
},
{
"epoch": 0.158047505432883,
"eval_accuracy": 0.9982908088631569,
"eval_f1": 0.6126418152350082,
"eval_loss": NaN,
"eval_precision": 0.564179104477612,
"eval_recall": 0.6702127659574468,
"eval_runtime": 3.9694,
"eval_samples_per_second": 12.848,
"eval_steps_per_second": 12.848,
"step": 1300
},
{
"epoch": 0.17020500585079706,
"eval_accuracy": 0.9983524013365567,
"eval_f1": 0.6128500823723229,
"eval_loss": NaN,
"eval_precision": 0.5723076923076923,
"eval_recall": 0.6595744680851063,
"eval_runtime": 3.9587,
"eval_samples_per_second": 12.883,
"eval_steps_per_second": 12.883,
"step": 1400
},
{
"epoch": 0.18236250626871114,
"grad_norm": 1.453125,
"learning_rate": 8.17629179331307e-05,
"loss": 0.0198,
"step": 1500
},
{
"epoch": 0.18236250626871114,
"eval_accuracy": 0.9984139938099564,
"eval_f1": 0.6216216216216217,
"eval_loss": NaN,
"eval_precision": 0.5935483870967742,
"eval_recall": 0.6524822695035462,
"eval_runtime": 3.9699,
"eval_samples_per_second": 12.847,
"eval_steps_per_second": 12.847,
"step": 1500
},
{
"epoch": 0.19452000668662522,
"eval_accuracy": 0.9983985956916065,
"eval_f1": 0.6113013698630136,
"eval_loss": NaN,
"eval_precision": 0.5910596026490066,
"eval_recall": 0.6329787234042553,
"eval_runtime": 3.9634,
"eval_samples_per_second": 12.868,
"eval_steps_per_second": 12.868,
"step": 1600
},
{
"epoch": 0.2066775071045393,
"eval_accuracy": 0.998537178756756,
"eval_f1": 0.6450511945392491,
"eval_loss": NaN,
"eval_precision": 0.6217105263157895,
"eval_recall": 0.6702127659574468,
"eval_runtime": 3.9348,
"eval_samples_per_second": 12.961,
"eval_steps_per_second": 12.961,
"step": 1700
},
{
"epoch": 0.21883500752245338,
"eval_accuracy": 0.9985063825200561,
"eval_f1": 0.61101243339254,
"eval_loss": NaN,
"eval_precision": 0.6120996441281139,
"eval_recall": 0.6099290780141844,
"eval_runtime": 3.9403,
"eval_samples_per_second": 12.943,
"eval_steps_per_second": 12.943,
"step": 1800
},
{
"epoch": 0.23099250794036746,
"eval_accuracy": 0.9985987712301557,
"eval_f1": 0.638888888888889,
"eval_loss": NaN,
"eval_precision": 0.6258503401360545,
"eval_recall": 0.6524822695035462,
"eval_runtime": 3.8792,
"eval_samples_per_second": 13.147,
"eval_steps_per_second": 13.147,
"step": 1900
},
{
"epoch": 0.24315000835828154,
"grad_norm": 0.337890625,
"learning_rate": 7.56838905775076e-05,
"loss": 0.015,
"step": 2000
},
{
"epoch": 0.24315000835828154,
"eval_accuracy": 0.9983677994549066,
"eval_f1": 0.6179966044142615,
"eval_loss": NaN,
"eval_precision": 0.5928338762214984,
"eval_recall": 0.6453900709219859,
"eval_runtime": 3.8941,
"eval_samples_per_second": 13.097,
"eval_steps_per_second": 13.097,
"step": 2000
},
{
"epoch": 0.2553075087761956,
"eval_accuracy": 0.998521780638406,
"eval_f1": 0.6296928327645053,
"eval_loss": NaN,
"eval_precision": 0.6069078947368421,
"eval_recall": 0.6542553191489362,
"eval_runtime": 3.8421,
"eval_samples_per_second": 13.274,
"eval_steps_per_second": 13.274,
"step": 2100
},
{
"epoch": 0.2674650091941097,
"eval_accuracy": 0.9984755862833562,
"eval_f1": 0.6352739726027398,
"eval_loss": NaN,
"eval_precision": 0.6142384105960265,
"eval_recall": 0.6578014184397163,
"eval_runtime": 3.8929,
"eval_samples_per_second": 13.101,
"eval_steps_per_second": 13.101,
"step": 2200
},
{
"epoch": 0.2796225096120238,
"eval_accuracy": 0.9985679749934558,
"eval_f1": 0.6507666098807496,
"eval_loss": NaN,
"eval_precision": 0.6262295081967213,
"eval_recall": 0.6773049645390071,
"eval_runtime": 4.0354,
"eval_samples_per_second": 12.638,
"eval_steps_per_second": 12.638,
"step": 2300
},
{
"epoch": 0.29178001002993786,
"eval_accuracy": 0.998275410744807,
"eval_f1": 0.5949152542372882,
"eval_loss": NaN,
"eval_precision": 0.5698051948051948,
"eval_recall": 0.6223404255319149,
"eval_runtime": 3.9548,
"eval_samples_per_second": 12.896,
"eval_steps_per_second": 12.896,
"step": 2400
},
{
"epoch": 0.30393751044785194,
"grad_norm": 0.5,
"learning_rate": 6.96048632218845e-05,
"loss": 0.0122,
"step": 2500
},
{
"epoch": 0.30393751044785194,
"eval_accuracy": 0.9983677994549066,
"eval_f1": 0.6200657894736843,
"eval_loss": NaN,
"eval_precision": 0.5782208588957055,
"eval_recall": 0.6684397163120568,
"eval_runtime": 3.9191,
"eval_samples_per_second": 13.013,
"eval_steps_per_second": 13.013,
"step": 2500
},
{
"epoch": 0.316095010865766,
"eval_accuracy": 0.998537178756756,
"eval_f1": 0.6379310344827586,
"eval_loss": NaN,
"eval_precision": 0.6208053691275168,
"eval_recall": 0.6560283687943262,
"eval_runtime": 3.9133,
"eval_samples_per_second": 13.033,
"eval_steps_per_second": 13.033,
"step": 2600
},
{
"epoch": 0.32825251128368005,
"eval_accuracy": 0.9984293919283064,
"eval_f1": 0.6284722222222222,
"eval_loss": NaN,
"eval_precision": 0.6156462585034014,
"eval_recall": 0.6418439716312057,
"eval_runtime": 3.9458,
"eval_samples_per_second": 12.925,
"eval_steps_per_second": 12.925,
"step": 2700
},
{
"epoch": 0.34041001170159413,
"eval_accuracy": 0.9984293919283064,
"eval_f1": 0.6254295532646049,
"eval_loss": NaN,
"eval_precision": 0.6066666666666667,
"eval_recall": 0.6453900709219859,
"eval_runtime": 5.0134,
"eval_samples_per_second": 10.173,
"eval_steps_per_second": 10.173,
"step": 2800
},
{
"epoch": 0.3525675121195082,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6185567010309279,
"eval_loss": NaN,
"eval_precision": 0.6,
"eval_recall": 0.6382978723404256,
"eval_runtime": 3.9121,
"eval_samples_per_second": 13.037,
"eval_steps_per_second": 13.037,
"step": 2900
},
{
"epoch": 0.3647250125374223,
"grad_norm": 0.47265625,
"learning_rate": 6.352583586626139e-05,
"loss": 0.0102,
"step": 3000
},
{
"epoch": 0.3647250125374223,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6175438596491228,
"eval_loss": NaN,
"eval_precision": 0.6111111111111112,
"eval_recall": 0.624113475177305,
"eval_runtime": 3.9032,
"eval_samples_per_second": 13.066,
"eval_steps_per_second": 13.066,
"step": 3000
},
{
"epoch": 0.37688251295533637,
"eval_accuracy": 0.9983985956916065,
"eval_f1": 0.6067615658362988,
"eval_loss": NaN,
"eval_precision": 0.6089285714285714,
"eval_recall": 0.6046099290780141,
"eval_runtime": 3.9167,
"eval_samples_per_second": 13.021,
"eval_steps_per_second": 13.021,
"step": 3100
},
{
"epoch": 0.38904001337325045,
"eval_accuracy": 0.9981984201530573,
"eval_f1": 0.5792163543441226,
"eval_loss": NaN,
"eval_precision": 0.5573770491803278,
"eval_recall": 0.6028368794326241,
"eval_runtime": 3.9349,
"eval_samples_per_second": 12.961,
"eval_steps_per_second": 12.961,
"step": 3200
},
{
"epoch": 0.40119751379116453,
"eval_accuracy": 0.998275410744807,
"eval_f1": 0.6016528925619835,
"eval_loss": NaN,
"eval_precision": 0.5634674922600619,
"eval_recall": 0.6453900709219859,
"eval_runtime": 5.1154,
"eval_samples_per_second": 9.97,
"eval_steps_per_second": 9.97,
"step": 3300
},
{
"epoch": 0.4133550142090786,
"eval_accuracy": 0.9983985956916065,
"eval_f1": 0.6064735945485519,
"eval_loss": NaN,
"eval_precision": 0.5836065573770491,
"eval_recall": 0.6312056737588653,
"eval_runtime": 3.9386,
"eval_samples_per_second": 12.949,
"eval_steps_per_second": 12.949,
"step": 3400
},
{
"epoch": 0.4255125146269927,
"grad_norm": 0.63671875,
"learning_rate": 5.744680851063831e-05,
"loss": 0.0087,
"step": 3500
},
{
"epoch": 0.4255125146269927,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6166950596252129,
"eval_loss": NaN,
"eval_precision": 0.5934426229508196,
"eval_recall": 0.6418439716312057,
"eval_runtime": 3.9507,
"eval_samples_per_second": 12.909,
"eval_steps_per_second": 12.909,
"step": 3500
},
{
"epoch": 0.43767001504490677,
"eval_accuracy": 0.9985525768751059,
"eval_f1": 0.6412859560067682,
"eval_loss": NaN,
"eval_precision": 0.6132686084142395,
"eval_recall": 0.6719858156028369,
"eval_runtime": 3.9696,
"eval_samples_per_second": 12.848,
"eval_steps_per_second": 12.848,
"step": 3600
},
{
"epoch": 0.44982751546282085,
"eval_accuracy": 0.998521780638406,
"eval_f1": 0.638655462184874,
"eval_loss": NaN,
"eval_precision": 0.6070287539936102,
"eval_recall": 0.6737588652482269,
"eval_runtime": 3.9563,
"eval_samples_per_second": 12.891,
"eval_steps_per_second": 12.891,
"step": 3700
},
{
"epoch": 0.46198501588073493,
"eval_accuracy": 0.9984909844017061,
"eval_f1": 0.6237288135593221,
"eval_loss": NaN,
"eval_precision": 0.5974025974025974,
"eval_recall": 0.6524822695035462,
"eval_runtime": 3.9225,
"eval_samples_per_second": 13.002,
"eval_steps_per_second": 13.002,
"step": 3800
},
{
"epoch": 0.474142516298649,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6193656093489149,
"eval_loss": NaN,
"eval_precision": 0.5851735015772871,
"eval_recall": 0.6578014184397163,
"eval_runtime": 3.8167,
"eval_samples_per_second": 13.362,
"eval_steps_per_second": 13.362,
"step": 3900
},
{
"epoch": 0.4863000167165631,
"grad_norm": 0.2578125,
"learning_rate": 5.13677811550152e-05,
"loss": 0.0074,
"step": 4000
},
{
"epoch": 0.4863000167165631,
"eval_accuracy": 0.9984293919283064,
"eval_f1": 0.6102564102564102,
"eval_loss": NaN,
"eval_precision": 0.5891089108910891,
"eval_recall": 0.6329787234042553,
"eval_runtime": 3.9064,
"eval_samples_per_second": 13.055,
"eval_steps_per_second": 13.055,
"step": 4000
},
{
"epoch": 0.49845751713447717,
"eval_accuracy": 0.9983677994549066,
"eval_f1": 0.5982905982905984,
"eval_loss": NaN,
"eval_precision": 0.5775577557755776,
"eval_recall": 0.6205673758865248,
"eval_runtime": 3.8733,
"eval_samples_per_second": 13.167,
"eval_steps_per_second": 13.167,
"step": 4100
},
{
"epoch": 0.5106150175523912,
"eval_accuracy": 0.9985525768751059,
"eval_f1": 0.6456558773424191,
"eval_loss": NaN,
"eval_precision": 0.6213114754098361,
"eval_recall": 0.6719858156028369,
"eval_runtime": 3.9945,
"eval_samples_per_second": 12.767,
"eval_steps_per_second": 12.767,
"step": 4200
},
{
"epoch": 0.5227725179703053,
"eval_accuracy": 0.9984755862833562,
"eval_f1": 0.6348408710217756,
"eval_loss": NaN,
"eval_precision": 0.6015873015873016,
"eval_recall": 0.6719858156028369,
"eval_runtime": 3.9449,
"eval_samples_per_second": 12.928,
"eval_steps_per_second": 12.928,
"step": 4300
},
{
"epoch": 0.5349300183882194,
"eval_accuracy": 0.9984447900466563,
"eval_f1": 0.6231155778894472,
"eval_loss": NaN,
"eval_precision": 0.5904761904761905,
"eval_recall": 0.6595744680851063,
"eval_runtime": 3.9223,
"eval_samples_per_second": 13.003,
"eval_steps_per_second": 13.003,
"step": 4400
},
{
"epoch": 0.5470875188061335,
"grad_norm": 0.796875,
"learning_rate": 4.52887537993921e-05,
"loss": 0.0069,
"step": 4500
},
{
"epoch": 0.5470875188061335,
"eval_accuracy": 0.9983985956916065,
"eval_f1": 0.6139767054908487,
"eval_loss": NaN,
"eval_precision": 0.5783699059561128,
"eval_recall": 0.6542553191489362,
"eval_runtime": 3.8802,
"eval_samples_per_second": 13.144,
"eval_steps_per_second": 13.144,
"step": 4500
},
{
"epoch": 0.5592450192240476,
"eval_accuracy": 0.9983216050998568,
"eval_f1": 0.5902192242833052,
"eval_loss": NaN,
"eval_precision": 0.5627009646302251,
"eval_recall": 0.6205673758865248,
"eval_runtime": 3.8007,
"eval_samples_per_second": 13.418,
"eval_steps_per_second": 13.418,
"step": 4600
},
{
"epoch": 0.5714025196419616,
"eval_accuracy": 0.9984755862833562,
"eval_f1": 0.6243739565943239,
"eval_loss": NaN,
"eval_precision": 0.5899053627760252,
"eval_recall": 0.6631205673758865,
"eval_runtime": 5.2589,
"eval_samples_per_second": 9.698,
"eval_steps_per_second": 9.698,
"step": 4700
},
{
"epoch": 0.5835600200598757,
"eval_accuracy": 0.9984755862833562,
"eval_f1": 0.6231155778894472,
"eval_loss": NaN,
"eval_precision": 0.5904761904761905,
"eval_recall": 0.6595744680851063,
"eval_runtime": 3.9226,
"eval_samples_per_second": 13.001,
"eval_steps_per_second": 13.001,
"step": 4800
},
{
"epoch": 0.5957175204777898,
"eval_accuracy": 0.9984755862833562,
"eval_f1": 0.6298157453936348,
"eval_loss": NaN,
"eval_precision": 0.5968253968253968,
"eval_recall": 0.6666666666666666,
"eval_runtime": 3.9435,
"eval_samples_per_second": 12.933,
"eval_steps_per_second": 12.933,
"step": 4900
},
{
"epoch": 0.6078750208957039,
"grad_norm": 0.298828125,
"learning_rate": 3.9209726443769e-05,
"loss": 0.0065,
"step": 5000
},
{
"epoch": 0.6078750208957039,
"eval_accuracy": 0.9984293919283064,
"eval_f1": 0.6074450084602369,
"eval_loss": NaN,
"eval_precision": 0.580906148867314,
"eval_recall": 0.6365248226950354,
"eval_runtime": 3.9158,
"eval_samples_per_second": 13.024,
"eval_steps_per_second": 13.024,
"step": 5000
},
{
"epoch": 0.620032521313618,
"eval_accuracy": 0.9984909844017061,
"eval_f1": 0.6282271944922547,
"eval_loss": NaN,
"eval_precision": 0.6103678929765887,
"eval_recall": 0.6471631205673759,
"eval_runtime": 3.9051,
"eval_samples_per_second": 13.06,
"eval_steps_per_second": 13.06,
"step": 5100
},
{
"epoch": 0.632190021731532,
"eval_accuracy": 0.9984139938099564,
"eval_f1": 0.6184873949579831,
"eval_loss": NaN,
"eval_precision": 0.5878594249201278,
"eval_recall": 0.6524822695035462,
"eval_runtime": 3.9165,
"eval_samples_per_second": 13.022,
"eval_steps_per_second": 13.022,
"step": 5200
},
{
"epoch": 0.6443475221494461,
"eval_accuracy": 0.9984139938099564,
"eval_f1": 0.6115843270868824,
"eval_loss": NaN,
"eval_precision": 0.5885245901639344,
"eval_recall": 0.6365248226950354,
"eval_runtime": 3.9234,
"eval_samples_per_second": 12.999,
"eval_steps_per_second": 12.999,
"step": 5300
},
{
"epoch": 0.6565050225673601,
"eval_accuracy": 0.9985063825200561,
"eval_f1": 0.6408094435075886,
"eval_loss": NaN,
"eval_precision": 0.6109324758842444,
"eval_recall": 0.6737588652482269,
"eval_runtime": 3.9194,
"eval_samples_per_second": 13.012,
"eval_steps_per_second": 13.012,
"step": 5400
},
{
"epoch": 0.6686625229852742,
"grad_norm": 0.40625,
"learning_rate": 3.31306990881459e-05,
"loss": 0.0059,
"step": 5500
},
{
"epoch": 0.6686625229852742,
"eval_accuracy": 0.998537178756756,
"eval_f1": 0.6480541455160745,
"eval_loss": NaN,
"eval_precision": 0.6197411003236246,
"eval_recall": 0.6790780141843972,
"eval_runtime": 3.9129,
"eval_samples_per_second": 13.034,
"eval_steps_per_second": 13.034,
"step": 5500
},
{
"epoch": 0.6808200234031883,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6254295532646049,
"eval_loss": NaN,
"eval_precision": 0.6066666666666667,
"eval_recall": 0.6453900709219859,
"eval_runtime": 5.213,
"eval_samples_per_second": 9.783,
"eval_steps_per_second": 9.783,
"step": 5600
},
{
"epoch": 0.6929775238211023,
"eval_accuracy": 0.9984909844017061,
"eval_f1": 0.626465661641541,
"eval_loss": NaN,
"eval_precision": 0.5936507936507937,
"eval_recall": 0.6631205673758865,
"eval_runtime": 3.9034,
"eval_samples_per_second": 13.066,
"eval_steps_per_second": 13.066,
"step": 5700
},
{
"epoch": 0.7051350242390164,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6192893401015229,
"eval_loss": NaN,
"eval_precision": 0.5922330097087378,
"eval_recall": 0.648936170212766,
"eval_runtime": 3.9098,
"eval_samples_per_second": 13.044,
"eval_steps_per_second": 13.044,
"step": 5800
},
{
"epoch": 0.7172925246569305,
"eval_accuracy": 0.9984909844017061,
"eval_f1": 0.6323777403035413,
"eval_loss": NaN,
"eval_precision": 0.6028938906752411,
"eval_recall": 0.6648936170212766,
"eval_runtime": 3.9284,
"eval_samples_per_second": 12.982,
"eval_steps_per_second": 12.982,
"step": 5900
},
{
"epoch": 0.7294500250748446,
"grad_norm": 0.41796875,
"learning_rate": 2.7051671732522798e-05,
"loss": 0.0058,
"step": 6000
},
{
"epoch": 0.7294500250748446,
"eval_accuracy": 0.9984293919283064,
"eval_f1": 0.6126279863481229,
"eval_loss": NaN,
"eval_precision": 0.5904605263157895,
"eval_recall": 0.6365248226950354,
"eval_runtime": 5.2952,
"eval_samples_per_second": 9.631,
"eval_steps_per_second": 9.631,
"step": 6000
},
{
"epoch": 0.7416075254927587,
"eval_accuracy": 0.9984755862833562,
"eval_f1": 0.6201022146507666,
"eval_loss": NaN,
"eval_precision": 0.5967213114754099,
"eval_recall": 0.6453900709219859,
"eval_runtime": 5.2342,
"eval_samples_per_second": 9.744,
"eval_steps_per_second": 9.744,
"step": 6100
},
{
"epoch": 0.7537650259106727,
"eval_accuracy": 0.9984909844017061,
"eval_f1": 0.6306913996627319,
"eval_loss": NaN,
"eval_precision": 0.6012861736334405,
"eval_recall": 0.6631205673758865,
"eval_runtime": 3.8769,
"eval_samples_per_second": 13.155,
"eval_steps_per_second": 13.155,
"step": 6200
},
{
"epoch": 0.7659225263285868,
"eval_accuracy": 0.9984909844017061,
"eval_f1": 0.6281833616298812,
"eval_loss": NaN,
"eval_precision": 0.6026058631921825,
"eval_recall": 0.6560283687943262,
"eval_runtime": 3.8104,
"eval_samples_per_second": 13.384,
"eval_steps_per_second": 13.384,
"step": 6300
},
{
"epoch": 0.7780800267465009,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6302521008403361,
"eval_loss": NaN,
"eval_precision": 0.5990415335463258,
"eval_recall": 0.6648936170212766,
"eval_runtime": 3.9796,
"eval_samples_per_second": 12.815,
"eval_steps_per_second": 12.815,
"step": 6400
},
{
"epoch": 0.790237527164415,
"grad_norm": 0.5390625,
"learning_rate": 2.0972644376899697e-05,
"loss": 0.0055,
"step": 6500
},
{
"epoch": 0.790237527164415,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6302521008403361,
"eval_loss": NaN,
"eval_precision": 0.5990415335463258,
"eval_recall": 0.6648936170212766,
"eval_runtime": 3.9236,
"eval_samples_per_second": 12.998,
"eval_steps_per_second": 12.998,
"step": 6500
},
{
"epoch": 0.8023950275823291,
"eval_accuracy": 0.9985063825200561,
"eval_f1": 0.6256410256410256,
"eval_loss": NaN,
"eval_precision": 0.6039603960396039,
"eval_recall": 0.648936170212766,
"eval_runtime": 3.9065,
"eval_samples_per_second": 13.055,
"eval_steps_per_second": 13.055,
"step": 6600
},
{
"epoch": 0.8145525280002431,
"eval_accuracy": 0.9984755862833562,
"eval_f1": 0.6209262435677531,
"eval_loss": NaN,
"eval_precision": 0.6013289036544851,
"eval_recall": 0.6418439716312057,
"eval_runtime": 3.883,
"eval_samples_per_second": 13.134,
"eval_steps_per_second": 13.134,
"step": 6700
},
{
"epoch": 0.8267100284181572,
"eval_accuracy": 0.9984293919283064,
"eval_f1": 0.6214405360134003,
"eval_loss": NaN,
"eval_precision": 0.5888888888888889,
"eval_recall": 0.6578014184397163,
"eval_runtime": 3.8972,
"eval_samples_per_second": 13.086,
"eval_steps_per_second": 13.086,
"step": 6800
},
{
"epoch": 0.8388675288360713,
"eval_accuracy": 0.9984293919283064,
"eval_f1": 0.6121416526138279,
"eval_loss": NaN,
"eval_precision": 0.5836012861736335,
"eval_recall": 0.6436170212765957,
"eval_runtime": 3.9065,
"eval_samples_per_second": 13.055,
"eval_steps_per_second": 13.055,
"step": 6900
},
{
"epoch": 0.8510250292539854,
"grad_norm": 0.5234375,
"learning_rate": 1.4893617021276596e-05,
"loss": 0.0052,
"step": 7000
},
{
"epoch": 0.8510250292539854,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6235294117647059,
"eval_loss": NaN,
"eval_precision": 0.5926517571884984,
"eval_recall": 0.6578014184397163,
"eval_runtime": 4.6336,
"eval_samples_per_second": 11.007,
"eval_steps_per_second": 11.007,
"step": 7000
},
{
"epoch": 0.8631825296718995,
"eval_accuracy": 0.9984601881650063,
"eval_f1": 0.6302521008403361,
"eval_loss": NaN,
"eval_precision": 0.5990415335463258,
"eval_recall": 0.6648936170212766,
"eval_runtime": 3.9703,
"eval_samples_per_second": 12.845,
"eval_steps_per_second": 12.845,
"step": 7100
},
{
"epoch": 0.8753400300898135,
"eval_accuracy": 0.9984293919283064,
"eval_f1": 0.6214405360134003,
"eval_loss": NaN,
"eval_precision": 0.5888888888888889,
"eval_recall": 0.6578014184397163,
"eval_runtime": 3.9965,
"eval_samples_per_second": 12.761,
"eval_steps_per_second": 12.761,
"step": 7200
},
{
"epoch": 0.8874975305077276,
"eval_accuracy": 0.998537178756756,
"eval_f1": 0.637137989778535,
"eval_loss": NaN,
"eval_precision": 0.6131147540983607,
"eval_recall": 0.6631205673758865,
"eval_runtime": 4.0553,
"eval_samples_per_second": 12.576,
"eval_steps_per_second": 12.576,
"step": 7300
},
{
"epoch": 0.8996550309256417,
"eval_accuracy": 0.9985525768751059,
"eval_f1": 0.6417657045840408,
"eval_loss": NaN,
"eval_precision": 0.6156351791530945,
"eval_recall": 0.6702127659574468,
"eval_runtime": 4.0275,
"eval_samples_per_second": 12.663,
"eval_steps_per_second": 12.663,
"step": 7400
},
{
"epoch": 0.9118125313435558,
"grad_norm": 0.2412109375,
"learning_rate": 8.814589665653496e-06,
"loss": 0.0052,
"step": 7500
},
{
"epoch": 0.9118125313435558,
"eval_accuracy": 0.9985525768751059,
"eval_f1": 0.6417657045840408,
"eval_loss": NaN,
"eval_precision": 0.6156351791530945,
"eval_recall": 0.6702127659574468,
"eval_runtime": 4.1063,
"eval_samples_per_second": 12.42,
"eval_steps_per_second": 12.42,
"step": 7500
}
],
"logging_steps": 500,
"max_steps": 8225,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 6.941757589813818e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}