Files
qwen3-1.7b-math-sft/last-checkpoint/trainer_state.json

1448 lines
42 KiB
JSON
Raw Permalink Normal View History

{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 100,
"global_step": 1275,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 0.47261681938543915,
"epoch": 0.023543260741612712,
"grad_norm": 0.53125,
"learning_rate": 1.40625e-06,
"loss": 0.7165036201477051,
"mean_token_accuracy": 0.8025671623647213,
"num_tokens": 796538.0,
"step": 10
},
{
"entropy": 0.5139306713826954,
"epoch": 0.047086521483225424,
"grad_norm": 0.388671875,
"learning_rate": 2.96875e-06,
"loss": 0.7095730304718018,
"mean_token_accuracy": 0.7971717294305563,
"num_tokens": 1544899.0,
"step": 20
},
{
"entropy": 0.5956933442503214,
"epoch": 0.07062978222483814,
"grad_norm": 0.2099609375,
"learning_rate": 4.53125e-06,
"loss": 0.6996610641479493,
"mean_token_accuracy": 0.7971747264266014,
"num_tokens": 2317683.0,
"step": 30
},
{
"entropy": 0.6512754812836647,
"epoch": 0.09417304296645085,
"grad_norm": 0.1474609375,
"learning_rate": 6.093750000000001e-06,
"loss": 0.6695662021636963,
"mean_token_accuracy": 0.8040148165076971,
"num_tokens": 3111422.0,
"step": 40
},
{
"entropy": 0.6480279197916389,
"epoch": 0.11771630370806356,
"grad_norm": 0.1083984375,
"learning_rate": 7.656250000000001e-06,
"loss": 0.6375884056091309,
"mean_token_accuracy": 0.8059590008109808,
"num_tokens": 3973704.0,
"step": 50
},
{
"entropy": 0.6220262819901109,
"epoch": 0.14125956444967627,
"grad_norm": 0.0986328125,
"learning_rate": 9.21875e-06,
"loss": 0.623339033126831,
"mean_token_accuracy": 0.8087143875658512,
"num_tokens": 4730669.0,
"step": 60
},
{
"entropy": 0.6261076383292675,
"epoch": 0.164802825191289,
"grad_norm": 0.08056640625,
"learning_rate": 1.0781250000000001e-05,
"loss": 0.6200876712799073,
"mean_token_accuracy": 0.8125950843095779,
"num_tokens": 5502078.0,
"step": 70
},
{
"entropy": 0.6319901453331113,
"epoch": 0.1883460859329017,
"grad_norm": 0.06591796875,
"learning_rate": 1.234375e-05,
"loss": 0.6182626247406006,
"mean_token_accuracy": 0.8144623003900051,
"num_tokens": 6266614.0,
"step": 80
},
{
"entropy": 0.602002534456551,
"epoch": 0.21188934667451442,
"grad_norm": 0.0625,
"learning_rate": 1.3906250000000001e-05,
"loss": 0.5683388710021973,
"mean_token_accuracy": 0.8221714589744806,
"num_tokens": 7059460.0,
"step": 90
},
{
"entropy": 0.5908293653279543,
"epoch": 0.23543260741612712,
"grad_norm": 0.06689453125,
"learning_rate": 1.546875e-05,
"loss": 0.5792154312133789,
"mean_token_accuracy": 0.8240513067692519,
"num_tokens": 7862593.0,
"step": 100
},
{
"epoch": 0.23543260741612712,
"eval_entropy": 0.5910338105935624,
"eval_loss": 0.5686901211738586,
"eval_mean_token_accuracy": 0.823962179309163,
"eval_num_tokens": 7862593.0,
"eval_runtime": 139.6331,
"eval_samples_per_second": 2.564,
"eval_steps_per_second": 2.564,
"step": 100
},
{
"entropy": 0.5830874053761363,
"epoch": 0.2589758681577399,
"grad_norm": 0.058837890625,
"learning_rate": 1.703125e-05,
"loss": 0.5834993839263916,
"mean_token_accuracy": 0.8253755442798137,
"num_tokens": 8702391.0,
"step": 110
},
{
"entropy": 0.5565910406410695,
"epoch": 0.28251912889935255,
"grad_norm": 0.05859375,
"learning_rate": 1.859375e-05,
"loss": 0.5459747314453125,
"mean_token_accuracy": 0.8344478290528059,
"num_tokens": 9393136.0,
"step": 120
},
{
"entropy": 0.5650864312425256,
"epoch": 0.30606238964096527,
"grad_norm": 0.06103515625,
"learning_rate": 1.9999962490381906e-05,
"loss": 0.5637893676757812,
"mean_token_accuracy": 0.829344104602933,
"num_tokens": 10137523.0,
"step": 130
},
{
"entropy": 0.5473398096859455,
"epoch": 0.329605650382578,
"grad_norm": 0.0625,
"learning_rate": 1.999546167668739e-05,
"loss": 0.5404181003570556,
"mean_token_accuracy": 0.8342546194791793,
"num_tokens": 10946950.0,
"step": 140
},
{
"entropy": 0.5475172070786357,
"epoch": 0.3531489111241907,
"grad_norm": 0.0634765625,
"learning_rate": 1.998346280806768e-05,
"loss": 0.5369014263153076,
"mean_token_accuracy": 0.8347291376441717,
"num_tokens": 11724348.0,
"step": 150
},
{
"entropy": 0.5577760996297002,
"epoch": 0.3766921718658034,
"grad_norm": 0.06591796875,
"learning_rate": 1.9963974885425267e-05,
"loss": 0.5580552577972412,
"mean_token_accuracy": 0.8297208815813064,
"num_tokens": 12528416.0,
"step": 160
},
{
"entropy": 0.5457047978416085,
"epoch": 0.4002354326074161,
"grad_norm": 0.06103515625,
"learning_rate": 1.9937012527546064e-05,
"loss": 0.5416774749755859,
"mean_token_accuracy": 0.8351736020296812,
"num_tokens": 13254942.0,
"step": 170
},
{
"entropy": 0.5473680015653372,
"epoch": 0.42377869334902885,
"grad_norm": 0.058837890625,
"learning_rate": 1.9902595960133182e-05,
"loss": 0.5401034355163574,
"mean_token_accuracy": 0.8332272503525019,
"num_tokens": 14035743.0,
"step": 180
},
{
"entropy": 0.5565412795171142,
"epoch": 0.44732195409064157,
"grad_norm": 0.052734375,
"learning_rate": 1.986075100063469e-05,
"loss": 0.5520064353942871,
"mean_token_accuracy": 0.8305680822581053,
"num_tokens": 14777254.0,
"step": 190
},
{
"entropy": 0.5201416643336415,
"epoch": 0.47086521483225424,
"grad_norm": 0.055908203125,
"learning_rate": 1.9811509038876772e-05,
"loss": 0.5139257431030273,
"mean_token_accuracy": 0.8422017730772495,
"num_tokens": 15582880.0,
"step": 200
},
{
"epoch": 0.47086521483225424,
"eval_entropy": 0.5415721843695508,
"eval_loss": 0.5158530473709106,
"eval_mean_token_accuracy": 0.8355566641138918,
"eval_num_tokens": 15582880.0,
"eval_runtime": 142.3554,
"eval_samples_per_second": 2.515,
"eval_steps_per_second": 2.515,
"step": 200
},
{
"entropy": 0.5265132559463381,
"epoch": 0.49440847557386697,
"grad_norm": 0.05615234375,
"learning_rate": 1.9754907013516774e-05,
"loss": 0.5199352264404297,
"mean_token_accuracy": 0.8380576658993959,
"num_tokens": 16419990.0,
"step": 210
},
{
"entropy": 0.5467520544305444,
"epoch": 0.5179517363154797,
"grad_norm": 0.05859375,
"learning_rate": 1.9690987384333823e-05,
"loss": 0.5457062244415283,
"mean_token_accuracy": 0.8330623578280211,
"num_tokens": 17220133.0,
"step": 220
},
{
"entropy": 0.5202922957018018,
"epoch": 0.5414949970570924,
"grad_norm": 0.0732421875,
"learning_rate": 1.961979810037778e-05,
"loss": 0.5149586200714111,
"mean_token_accuracy": 0.8408578157424926,
"num_tokens": 17988703.0,
"step": 230
},
{
"entropy": 0.5157044745981694,
"epoch": 0.5650382577987051,
"grad_norm": 0.05859375,
"learning_rate": 1.954139256400049e-05,
"loss": 0.5135462760925293,
"mean_token_accuracy": 0.8410524364560843,
"num_tokens": 18760495.0,
"step": 240
},
{
"entropy": 0.5239256421104074,
"epoch": 0.5885815185403178,
"grad_norm": 0.0634765625,
"learning_rate": 1.9455829590796184e-05,
"loss": 0.5215154647827148,
"mean_token_accuracy": 0.8391639325767756,
"num_tokens": 19551514.0,
"step": 250
},
{
"entropy": 0.5295072626322508,
"epoch": 0.6121247792819305,
"grad_norm": 0.054443359375,
"learning_rate": 1.9363173365481223e-05,
"loss": 0.5391250133514405,
"mean_token_accuracy": 0.8365894909948111,
"num_tokens": 20367505.0,
"step": 260
},
{
"entropy": 0.513121047988534,
"epoch": 0.6356680400235433,
"grad_norm": 0.057861328125,
"learning_rate": 1.92634933937462e-05,
"loss": 0.5058225154876709,
"mean_token_accuracy": 0.842748760432005,
"num_tokens": 21071323.0,
"step": 270
},
{
"entropy": 0.5175997691228986,
"epoch": 0.659211300765156,
"grad_norm": 0.056396484375,
"learning_rate": 1.915686445011651e-05,
"loss": 0.5235993385314941,
"mean_token_accuracy": 0.8399815000593662,
"num_tokens": 21895697.0,
"step": 280
},
{
"entropy": 0.5231689540669322,
"epoch": 0.6827545615067687,
"grad_norm": 0.05126953125,
"learning_rate": 1.9043366521860558e-05,
"loss": 0.5182478904724122,
"mean_token_accuracy": 0.8393962673842907,
"num_tokens": 22679040.0,
"step": 290
},
{
"entropy": 0.5049041209742426,
"epoch": 0.7062978222483814,
"grad_norm": 0.062255859375,
"learning_rate": 1.892308474898763e-05,
"loss": 0.4974985599517822,
"mean_token_accuracy": 0.8447154741734266,
"num_tokens": 23386138.0,
"step": 300
},
{
"epoch": 0.7062978222483814,
"eval_entropy": 0.5194896821702659,
"eval_loss": 0.49936261773109436,
"eval_mean_token_accuracy": 0.8389908150254681,
"eval_num_tokens": 23386138.0,
"eval_runtime": 136.5483,
"eval_samples_per_second": 2.622,
"eval_steps_per_second": 2.622,
"step": 300
},
{
"entropy": 0.5262435658834874,
"epoch": 0.7298410829899941,
"grad_norm": 0.0546875,
"learning_rate": 1.879610936038046e-05,
"loss": 0.5304554462432861,
"mean_token_accuracy": 0.836079678311944,
"num_tokens": 24170172.0,
"step": 310
},
{
"entropy": 0.519707421399653,
"epoch": 0.7533843437316068,
"grad_norm": 0.05419921875,
"learning_rate": 1.86625356061104e-05,
"loss": 0.525363826751709,
"mean_token_accuracy": 0.8391638267785311,
"num_tokens": 24962487.0,
"step": 320
},
{
"entropy": 0.5116234797984361,
"epoch": 0.7769276044732195,
"grad_norm": 0.06591796875,
"learning_rate": 1.852246368598597e-05,
"loss": 0.5102458953857422,
"mean_token_accuracy": 0.8417690549045801,
"num_tokens": 25733914.0,
"step": 330
},
{
"entropy": 0.5263846382498741,
"epoch": 0.8004708652148322,
"grad_norm": 0.0546875,
"learning_rate": 1.837599867438838e-05,
"loss": 0.5220338821411132,
"mean_token_accuracy": 0.8377181738615036,
"num_tokens": 26579132.0,
"step": 340
},
{
"entropy": 0.5115921972319484,
"epoch": 0.824014125956445,
"grad_norm": 0.0615234375,
"learning_rate": 1.822325044145041e-05,
"loss": 0.49653100967407227,
"mean_token_accuracy": 0.8414182372391223,
"num_tokens": 27202803.0,
"step": 350
},
{
"entropy": 0.5089998429641127,
"epoch": 0.8475573866980577,
"grad_norm": 0.0673828125,
"learning_rate": 1.8064333570637768e-05,
"loss": 0.49803886413574217,
"mean_token_accuracy": 0.842063357308507,
"num_tokens": 27874601.0,
"step": 360
},
{
"entropy": 0.5171531289815903,
"epoch": 0.8711006474396704,
"grad_norm": 0.059814453125,
"learning_rate": 1.7899367272794777e-05,
"loss": 0.5236594676971436,
"mean_token_accuracy": 0.8396157670766116,
"num_tokens": 28758269.0,
"step": 370
},
{
"entropy": 0.5161923897452653,
"epoch": 0.8946439081812831,
"grad_norm": 0.047607421875,
"learning_rate": 1.7728475296718846e-05,
"loss": 0.5221555709838868,
"mean_token_accuracy": 0.8399753466248512,
"num_tokens": 29660317.0,
"step": 380
},
{
"entropy": 0.4955171117559075,
"epoch": 0.9181871689228959,
"grad_norm": 0.05517578125,
"learning_rate": 1.7551785836330814e-05,
"loss": 0.49817495346069335,
"mean_token_accuracy": 0.846830865368247,
"num_tokens": 30349463.0,
"step": 390
},
{
"entropy": 0.505057031661272,
"epoch": 0.9417304296645085,
"grad_norm": 0.064453125,
"learning_rate": 1.7369431434510793e-05,
"loss": 0.509951400756836,
"mean_token_accuracy": 0.8432859953492879,
"num_tokens": 31065185.0,
"step": 400
},
{
"epoch": 0.9417304296645085,
"eval_entropy": 0.5111477355883774,
"eval_loss": 0.4909190237522125,
"eval_mean_token_accuracy": 0.8413028815272134,
"eval_num_tokens": 31065185.0,
"eval_runtime": 131.4779,
"eval_samples_per_second": 2.723,
"eval_steps_per_second": 2.723,
"step": 400
},
{
"entropy": 0.4994705172255635,
"epoch": 0.9652736904061212,
"grad_norm": 0.059814453125,
"learning_rate": 1.718154888367167e-05,
"loss": 0.5129815101623535,
"mean_token_accuracy": 0.8450050104409457,
"num_tokens": 31796395.0,
"step": 410
},
{
"entropy": 0.5047325070947408,
"epoch": 0.9888169511477339,
"grad_norm": 0.054443359375,
"learning_rate": 1.698827912314484e-05,
"loss": 0.4937889099121094,
"mean_token_accuracy": 0.8428907435387373,
"num_tokens": 32560011.0,
"step": 420
},
{
"entropy": 0.5052787409378932,
"epoch": 1.0117716303708064,
"grad_norm": 0.05908203125,
"learning_rate": 1.678976713345513e-05,
"loss": 0.5136929988861084,
"mean_token_accuracy": 0.8436831063949145,
"num_tokens": 33280194.0,
"step": 430
},
{
"entropy": 0.49020985178649423,
"epoch": 1.035314891112419,
"grad_norm": 0.05908203125,
"learning_rate": 1.658616182756426e-05,
"loss": 0.4995232582092285,
"mean_token_accuracy": 0.847404608130455,
"num_tokens": 34034683.0,
"step": 440
},
{
"entropy": 0.513733028434217,
"epoch": 1.0588581518540319,
"grad_norm": 0.0673828125,
"learning_rate": 1.6377615939164387e-05,
"loss": 0.524590253829956,
"mean_token_accuracy": 0.8403749600052833,
"num_tokens": 34873128.0,
"step": 450
},
{
"entropy": 0.5072762167081237,
"epoch": 1.0824014125956445,
"grad_norm": 0.06298828125,
"learning_rate": 1.6164285908105526e-05,
"loss": 0.520505142211914,
"mean_token_accuracy": 0.8410047568380833,
"num_tokens": 35734174.0,
"step": 460
},
{
"entropy": 0.49719911720603704,
"epoch": 1.105944673337257,
"grad_norm": 0.06298828125,
"learning_rate": 1.594633176304287e-05,
"loss": 0.494351863861084,
"mean_token_accuracy": 0.8454386904835701,
"num_tokens": 36393777.0,
"step": 470
},
{
"entropy": 0.49072135630995034,
"epoch": 1.12948793407887,
"grad_norm": 0.05517578125,
"learning_rate": 1.5723917001391912e-05,
"loss": 0.4863902568817139,
"mean_token_accuracy": 0.8458908643573523,
"num_tokens": 37251068.0,
"step": 480
},
{
"entropy": 0.4939659545198083,
"epoch": 1.1530311948204826,
"grad_norm": 0.06494140625,
"learning_rate": 1.5497208466681547e-05,
"loss": 0.4998356342315674,
"mean_token_accuracy": 0.8443102762103081,
"num_tokens": 38031375.0,
"step": 490
},
{
"entropy": 0.4939275814220309,
"epoch": 1.1765744555620954,
"grad_norm": 0.055419921875,
"learning_rate": 1.526637622339706e-05,
"loss": 0.4955411911010742,
"mean_token_accuracy": 0.8455841716378927,
"num_tokens": 38860255.0,
"step": 500
},
{
"epoch": 1.1765744555620954,
"eval_entropy": 0.5045043116008769,
"eval_loss": 0.4862433075904846,
"eval_mean_token_accuracy": 0.8424804836678106,
"eval_num_tokens": 38860255.0,
"eval_runtime": 135.2782,
"eval_samples_per_second": 2.646,
"eval_steps_per_second": 2.646,
"step": 500
},
{
"entropy": 0.4797388563863933,
"epoch": 1.200117716303708,
"grad_norm": 0.056396484375,
"learning_rate": 1.5031593429406964e-05,
"loss": 0.484775447845459,
"mean_token_accuracy": 0.8496320709586144,
"num_tokens": 39714269.0,
"step": 510
},
{
"entropy": 0.5136959448456764,
"epoch": 1.2236609770453208,
"grad_norm": 0.05419921875,
"learning_rate": 1.4793036206069298e-05,
"loss": 0.5073910236358643,
"mean_token_accuracy": 0.839500718563795,
"num_tokens": 40429331.0,
"step": 520
},
{
"entropy": 0.5001886915415525,
"epoch": 1.2472042377869335,
"grad_norm": 0.059814453125,
"learning_rate": 1.455088350611494e-05,
"loss": 0.4849071502685547,
"mean_token_accuracy": 0.8452773235738278,
"num_tokens": 41120160.0,
"step": 530
},
{
"entropy": 0.49588965652510525,
"epoch": 1.270747498528546,
"grad_norm": 0.05322265625,
"learning_rate": 1.430531697940693e-05,
"loss": 0.5028933525085449,
"mean_token_accuracy": 0.8444558009505272,
"num_tokens": 41875187.0,
"step": 540
},
{
"entropy": 0.4997696656733751,
"epoch": 1.294290759270159,
"grad_norm": 0.056884765625,
"learning_rate": 1.4056520836676551e-05,
"loss": 0.5174314498901367,
"mean_token_accuracy": 0.8428490672260522,
"num_tokens": 42701302.0,
"step": 550
},
{
"entropy": 0.49855835027992723,
"epoch": 1.3178340200117717,
"grad_norm": 0.059814453125,
"learning_rate": 1.380468171133842e-05,
"loss": 0.5048851013183594,
"mean_token_accuracy": 0.8445437770336867,
"num_tokens": 43490481.0,
"step": 560
},
{
"entropy": 0.4793679520487785,
"epoch": 1.3413772807533844,
"grad_norm": 0.058837890625,
"learning_rate": 1.354998851948818e-05,
"loss": 0.48621335029602053,
"mean_token_accuracy": 0.8496838890016079,
"num_tokens": 44257286.0,
"step": 570
},
{
"entropy": 0.5044341992586852,
"epoch": 1.364920541494997,
"grad_norm": 0.06591796875,
"learning_rate": 1.3292632318187857e-05,
"loss": 0.5028728485107422,
"mean_token_accuracy": 0.8416947480291128,
"num_tokens": 45031884.0,
"step": 580
},
{
"entropy": 0.4860644720494747,
"epoch": 1.3884638022366098,
"grad_norm": 0.054443359375,
"learning_rate": 1.3032806162145193e-05,
"loss": 0.48934264183044435,
"mean_token_accuracy": 0.848303421586752,
"num_tokens": 45805257.0,
"step": 590
},
{
"entropy": 0.49228332079946996,
"epoch": 1.4120070629782224,
"grad_norm": 0.051025390625,
"learning_rate": 1.2770704958894424e-05,
"loss": 0.48878173828125,
"mean_token_accuracy": 0.8455546554178,
"num_tokens": 46529684.0,
"step": 600
},
{
"epoch": 1.4120070629782224,
"eval_entropy": 0.49637800954573646,
"eval_loss": 0.4830160439014435,
"eval_mean_token_accuracy": 0.8431555377371485,
"eval_num_tokens": 46529684.0,
"eval_runtime": 128.7956,
"eval_samples_per_second": 2.78,
"eval_steps_per_second": 2.78,
"step": 600
},
{
"entropy": 0.4935727553442121,
"epoch": 1.4355503237198353,
"grad_norm": 0.05712890625,
"learning_rate": 1.2506525322587207e-05,
"loss": 0.5051933765411377,
"mean_token_accuracy": 0.8451346360147,
"num_tokens": 47351703.0,
"step": 610
},
{
"entropy": 0.4920971740037203,
"epoch": 1.4590935844614479,
"grad_norm": 0.053466796875,
"learning_rate": 1.2240465426503296e-05,
"loss": 0.5081326484680175,
"mean_token_accuracy": 0.8450745042413473,
"num_tokens": 48111074.0,
"step": 620
},
{
"entropy": 0.4823517481796443,
"epoch": 1.4826368452030607,
"grad_norm": 0.052978515625,
"learning_rate": 1.197272485439167e-05,
"loss": 0.4746738910675049,
"mean_token_accuracy": 0.8489425461739302,
"num_tokens": 48899473.0,
"step": 630
},
{
"entropy": 0.4855606323108077,
"epoch": 1.5061801059446733,
"grad_norm": 0.0673828125,
"learning_rate": 1.1703504450753604e-05,
"loss": 0.4840294361114502,
"mean_token_accuracy": 0.8471518792212009,
"num_tokens": 49689664.0,
"step": 640
},
{
"entropy": 0.4964427137747407,
"epoch": 1.529723366686286,
"grad_norm": 0.055908203125,
"learning_rate": 1.1433006170179961e-05,
"loss": 0.499052095413208,
"mean_token_accuracy": 0.8452402614057064,
"num_tokens": 50432542.0,
"step": 650
},
{
"entropy": 0.48346656998619436,
"epoch": 1.5532666274278988,
"grad_norm": 0.059814453125,
"learning_rate": 1.1161432925855792e-05,
"loss": 0.49048147201538084,
"mean_token_accuracy": 0.8482994694262743,
"num_tokens": 51235911.0,
"step": 660
},
{
"entropy": 0.4915179075673223,
"epoch": 1.5768098881695116,
"grad_norm": 0.0673828125,
"learning_rate": 1.0888988437345851e-05,
"loss": 0.48571577072143557,
"mean_token_accuracy": 0.8463525585830212,
"num_tokens": 51914843.0,
"step": 670
},
{
"entropy": 0.5079520621336997,
"epoch": 1.6003531489111242,
"grad_norm": 0.0625,
"learning_rate": 1.061587707777515e-05,
"loss": 0.5094398975372314,
"mean_token_accuracy": 0.8409215942025184,
"num_tokens": 52788907.0,
"step": 680
},
{
"entropy": 0.4922261985018849,
"epoch": 1.6238964096527368,
"grad_norm": 0.06640625,
"learning_rate": 1.0342303720519331e-05,
"loss": 0.5027109146118164,
"mean_token_accuracy": 0.8461885400116443,
"num_tokens": 53610651.0,
"step": 690
},
{
"entropy": 0.4926283808425069,
"epoch": 1.6474396703943497,
"grad_norm": 0.052978515625,
"learning_rate": 1.0068473585519714e-05,
"loss": 0.48818025588989256,
"mean_token_accuracy": 0.8448698211461305,
"num_tokens": 54306359.0,
"step": 700
},
{
"epoch": 1.6474396703943497,
"eval_entropy": 0.49725391719927337,
"eval_loss": 0.48121583461761475,
"eval_mean_token_accuracy": 0.8434386894356605,
"eval_num_tokens": 54306359.0,
"eval_runtime": 129.9385,
"eval_samples_per_second": 2.755,
"eval_steps_per_second": 2.755,
"step": 700
},
{
"entropy": 0.50206049811095,
"epoch": 1.6709829311359623,
"grad_norm": 0.05126953125,
"learning_rate": 9.794592085338401e-06,
"loss": 0.5090510845184326,
"mean_token_accuracy": 0.8430146727710962,
"num_tokens": 55162088.0,
"step": 710
},
{
"entropy": 0.4935040036216378,
"epoch": 1.694526191877575,
"grad_norm": 0.051513671875,
"learning_rate": 9.520864671068875e-06,
"loss": 0.5052507400512696,
"mean_token_accuracy": 0.8460971619933844,
"num_tokens": 55957773.0,
"step": 720
},
{
"entropy": 0.4884185861796141,
"epoch": 1.7180694526191878,
"grad_norm": 0.06005859375,
"learning_rate": 9.247496678217704e-06,
"loss": 0.4981977939605713,
"mean_token_accuracy": 0.8484526939690114,
"num_tokens": 56705800.0,
"step": 730
},
{
"entropy": 0.47191233560442924,
"epoch": 1.7416127133608006,
"grad_norm": 0.06396484375,
"learning_rate": 8.974693172672936e-06,
"loss": 0.48612565994262696,
"mean_token_accuracy": 0.8515177499502897,
"num_tokens": 57410830.0,
"step": 740
},
{
"entropy": 0.4871264295652509,
"epoch": 1.7651559741024132,
"grad_norm": 0.05615234375,
"learning_rate": 8.70265879687476e-06,
"loss": 0.4872490882873535,
"mean_token_accuracy": 0.8473320409655571,
"num_tokens": 58099041.0,
"step": 750
},
{
"entropy": 0.4919566001743078,
"epoch": 1.7886992348440258,
"grad_norm": 0.0625,
"learning_rate": 8.431597616303818e-06,
"loss": 0.5038920402526855,
"mean_token_accuracy": 0.8457822546362876,
"num_tokens": 58932723.0,
"step": 760
},
{
"entropy": 0.4820005618967116,
"epoch": 1.8122424955856387,
"grad_norm": 0.05810546875,
"learning_rate": 8.16171296640231e-06,
"loss": 0.4845709323883057,
"mean_token_accuracy": 0.848111093044281,
"num_tokens": 59693185.0,
"step": 770
},
{
"entropy": 0.4959249753504992,
"epoch": 1.8357857563272513,
"grad_norm": 0.048828125,
"learning_rate": 7.89320730004274e-06,
"loss": 0.5166537761688232,
"mean_token_accuracy": 0.8443613056093454,
"num_tokens": 60491010.0,
"step": 780
},
{
"entropy": 0.49144728798419235,
"epoch": 1.8593290170688639,
"grad_norm": 0.05908203125,
"learning_rate": 7.626282035658703e-06,
"loss": 0.49805240631103515,
"mean_token_accuracy": 0.8461739920079708,
"num_tokens": 61319991.0,
"step": 790
},
{
"entropy": 0.4859143828973174,
"epoch": 1.8828722778104767,
"grad_norm": 0.054931640625,
"learning_rate": 7.361137406151706e-06,
"loss": 0.4953606128692627,
"mean_token_accuracy": 0.8474723279476166,
"num_tokens": 62135256.0,
"step": 800
},
{
"epoch": 1.8828722778104767,
"eval_entropy": 0.49684396469393255,
"eval_loss": 0.48009854555130005,
"eval_mean_token_accuracy": 0.8439133836570398,
"eval_num_tokens": 62135256.0,
"eval_runtime": 140.0838,
"eval_samples_per_second": 2.556,
"eval_steps_per_second": 2.556,
"step": 800
},
{
"entropy": 0.4975118497386575,
"epoch": 1.9064155385520896,
"grad_norm": 0.055908203125,
"learning_rate": 7.0979723086872245e-06,
"loss": 0.5027891159057617,
"mean_token_accuracy": 0.8441127471625804,
"num_tokens": 62886746.0,
"step": 810
},
{
"entropy": 0.48534935507923366,
"epoch": 1.9299587992937022,
"grad_norm": 0.060546875,
"learning_rate": 6.8369841554928226e-06,
"loss": 0.48329763412475585,
"mean_token_accuracy": 0.8473416466265917,
"num_tokens": 63579402.0,
"step": 820
},
{
"entropy": 0.484352495148778,
"epoch": 1.9535020600353148,
"grad_norm": 0.05029296875,
"learning_rate": 6.578368725770182e-06,
"loss": 0.48952536582946776,
"mean_token_accuracy": 0.8478636931627989,
"num_tokens": 64391578.0,
"step": 830
},
{
"entropy": 0.48771984670311214,
"epoch": 1.9770453207769276,
"grad_norm": 0.0498046875,
"learning_rate": 6.322320018832125e-06,
"loss": 0.4877884864807129,
"mean_token_accuracy": 0.8477956593036652,
"num_tokens": 65101582.0,
"step": 840
},
{
"entropy": 0.4792339194279451,
"epoch": 2.0,
"grad_norm": 0.0693359375,
"learning_rate": 6.069030108574806e-06,
"loss": 0.4753533363342285,
"mean_token_accuracy": 0.8492753834296496,
"num_tokens": 65847956.0,
"step": 850
},
{
"entropy": 0.4897763991728425,
"epoch": 2.023543260741613,
"grad_norm": 0.0595703125,
"learning_rate": 5.8186889993942704e-06,
"loss": 0.49657087326049804,
"mean_token_accuracy": 0.8467563409358263,
"num_tokens": 66639763.0,
"step": 860
},
{
"entropy": 0.4955088282003999,
"epoch": 2.0470865214832252,
"grad_norm": 0.064453125,
"learning_rate": 5.571484483655443e-06,
"loss": 0.5085082530975342,
"mean_token_accuracy": 0.8449712213128805,
"num_tokens": 67385166.0,
"step": 870
},
{
"entropy": 0.4888547468930483,
"epoch": 2.070629782224838,
"grad_norm": 0.05810546875,
"learning_rate": 5.327602000820413e-06,
"loss": 0.4888143539428711,
"mean_token_accuracy": 0.846753703430295,
"num_tokens": 68099723.0,
"step": 880
},
{
"entropy": 0.49544552695006133,
"epoch": 2.094173042966451,
"grad_norm": 0.054443359375,
"learning_rate": 5.087224498341815e-06,
"loss": 0.49994626045227053,
"mean_token_accuracy": 0.843446821346879,
"num_tokens": 68788696.0,
"step": 890
},
{
"entropy": 0.4897686781361699,
"epoch": 2.1177163037080637,
"grad_norm": 0.062255859375,
"learning_rate": 4.8505322944255096e-06,
"loss": 0.49230360984802246,
"mean_token_accuracy": 0.8458703383803368,
"num_tokens": 69602614.0,
"step": 900
},
{
"epoch": 2.1177163037080637,
"eval_entropy": 0.494421407497129,
"eval_loss": 0.47960278391838074,
"eval_mean_token_accuracy": 0.8439072530362859,
"eval_num_tokens": 69602614.0,
"eval_runtime": 136.7014,
"eval_samples_per_second": 2.619,
"eval_steps_per_second": 2.619,
"step": 900
},
{
"entropy": 0.4872464815154672,
"epoch": 2.141259564449676,
"grad_norm": 0.059326171875,
"learning_rate": 4.617702942765641e-06,
"loss": 0.49840707778930665,
"mean_token_accuracy": 0.847221752628684,
"num_tokens": 70400747.0,
"step": 910
},
{
"entropy": 0.4936610346660018,
"epoch": 2.164802825191289,
"grad_norm": 0.064453125,
"learning_rate": 4.388911099353446e-06,
"loss": 0.5067010402679444,
"mean_token_accuracy": 0.8448445748537778,
"num_tokens": 71161256.0,
"step": 920
},
{
"entropy": 0.4865023369900882,
"epoch": 2.188346085932902,
"grad_norm": 0.05712890625,
"learning_rate": 4.164328391459752e-06,
"loss": 0.48999724388122556,
"mean_token_accuracy": 0.8471139241009951,
"num_tokens": 71912573.0,
"step": 930
},
{
"entropy": 0.48061597514897586,
"epoch": 2.211889346674514,
"grad_norm": 0.05810546875,
"learning_rate": 3.944123288889516e-06,
"loss": 0.4725522518157959,
"mean_token_accuracy": 0.8494672421365976,
"num_tokens": 72707432.0,
"step": 940
},
{
"entropy": 0.5059708185493946,
"epoch": 2.235432607416127,
"grad_norm": 0.05419921875,
"learning_rate": 3.728460977604852e-06,
"loss": 0.5131529331207275,
"mean_token_accuracy": 0.8409805115312338,
"num_tokens": 73449621.0,
"step": 950
},
{
"entropy": 0.4863934010267258,
"epoch": 2.25897586815774,
"grad_norm": 0.055419921875,
"learning_rate": 3.517503235811468e-06,
"loss": 0.5088976860046387,
"mean_token_accuracy": 0.846961434558034,
"num_tokens": 74347033.0,
"step": 960
},
{
"entropy": 0.4784310838207603,
"epoch": 2.2825191288993527,
"grad_norm": 0.0634765625,
"learning_rate": 3.3114083126014097e-06,
"loss": 0.47273902893066405,
"mean_token_accuracy": 0.8500492256134748,
"num_tokens": 75011148.0,
"step": 970
},
{
"entropy": 0.48275542035698893,
"epoch": 2.306062389640965,
"grad_norm": 0.06982421875,
"learning_rate": 3.110330809243134e-06,
"loss": 0.4815514087677002,
"mean_token_accuracy": 0.8492911938577891,
"num_tokens": 75701952.0,
"step": 980
},
{
"entropy": 0.4942383628338575,
"epoch": 2.329605650382578,
"grad_norm": 0.05029296875,
"learning_rate": 2.914421563208003e-06,
"loss": 0.5011926174163819,
"mean_token_accuracy": 0.8445728730410338,
"num_tokens": 76495004.0,
"step": 990
},
{
"entropy": 0.4953793972730637,
"epoch": 2.353148911124191,
"grad_norm": 0.050537109375,
"learning_rate": 2.7238275350201603e-06,
"loss": 0.49687824249267576,
"mean_token_accuracy": 0.8450685154646635,
"num_tokens": 77212538.0,
"step": 1000
},
{
"epoch": 2.353148911124191,
"eval_entropy": 0.49301343573538287,
"eval_loss": 0.4794597625732422,
"eval_mean_token_accuracy": 0.8439149758336264,
"eval_num_tokens": 77212538.0,
"eval_runtime": 126.3492,
"eval_samples_per_second": 2.833,
"eval_steps_per_second": 2.833,
"step": 1000
},
{
"entropy": 0.4894041134044528,
"epoch": 2.3766921718658036,
"grad_norm": 0.04931640625,
"learning_rate": 2.5386916980147126e-06,
"loss": 0.49138665199279785,
"mean_token_accuracy": 0.8464279536157846,
"num_tokens": 78026138.0,
"step": 1010
},
{
"entropy": 0.4856866804882884,
"epoch": 2.400235432607416,
"grad_norm": 0.057861328125,
"learning_rate": 2.3591529310868376e-06,
"loss": 0.4937007904052734,
"mean_token_accuracy": 0.8472504287958145,
"num_tokens": 78780085.0,
"step": 1020
},
{
"entropy": 0.4839438125491142,
"epoch": 2.423778693349029,
"grad_norm": 0.05126953125,
"learning_rate": 2.18534591451236e-06,
"loss": 0.4821192264556885,
"mean_token_accuracy": 0.8487556364387274,
"num_tokens": 79570654.0,
"step": 1030
},
{
"entropy": 0.4880734058097005,
"epoch": 2.4473219540906417,
"grad_norm": 0.06298828125,
"learning_rate": 2.0174010289178914e-06,
"loss": 0.49988112449645994,
"mean_token_accuracy": 0.8469519291073084,
"num_tokens": 80250823.0,
"step": 1040
},
{
"entropy": 0.480747524369508,
"epoch": 2.470865214832254,
"grad_norm": 0.05859375,
"learning_rate": 1.8554442574763298e-06,
"loss": 0.47515578269958497,
"mean_token_accuracy": 0.8491792384535074,
"num_tokens": 81007390.0,
"step": 1050
},
{
"entropy": 0.4821536695584655,
"epoch": 2.494408475573867,
"grad_norm": 0.05712890625,
"learning_rate": 1.699597091401093e-06,
"loss": 0.4729485511779785,
"mean_token_accuracy": 0.8483801148831844,
"num_tokens": 81740993.0,
"step": 1060
},
{
"entropy": 0.472045193053782,
"epoch": 2.5179517363154797,
"grad_norm": 0.060546875,
"learning_rate": 1.549976438809978e-06,
"loss": 0.4712677955627441,
"mean_token_accuracy": 0.8525977376848459,
"num_tokens": 82419756.0,
"step": 1070
},
{
"entropy": 0.4656744490377605,
"epoch": 2.541494997057092,
"grad_norm": 0.058349609375,
"learning_rate": 1.4066945370270225e-06,
"loss": 0.47236061096191406,
"mean_token_accuracy": 0.8537530150264502,
"num_tokens": 83196283.0,
"step": 1080
},
{
"entropy": 0.478969038836658,
"epoch": 2.565038257798705,
"grad_norm": 0.0556640625,
"learning_rate": 1.2698588683881185e-06,
"loss": 0.48878769874572753,
"mean_token_accuracy": 0.8492098618298769,
"num_tokens": 84036439.0,
"step": 1090
},
{
"entropy": 0.4828123481944203,
"epoch": 2.588581518540318,
"grad_norm": 0.0556640625,
"learning_rate": 1.1395720796135868e-06,
"loss": 0.4844477653503418,
"mean_token_accuracy": 0.8475308798253536,
"num_tokens": 84820180.0,
"step": 1100
},
{
"epoch": 2.588581518540318,
"eval_entropy": 0.4935321879453499,
"eval_loss": 0.4793815016746521,
"eval_mean_token_accuracy": 0.8439810825459784,
"eval_num_tokens": 84820180.0,
"eval_runtime": 126.7867,
"eval_samples_per_second": 2.824,
"eval_steps_per_second": 2.824,
"step": 1100
},
{
"entropy": 0.49042358435690403,
"epoch": 2.6121247792819307,
"grad_norm": 0.06005859375,
"learning_rate": 1.0159319048081463e-06,
"loss": 0.49592008590698244,
"mean_token_accuracy": 0.8456685792654752,
"num_tokens": 85635100.0,
"step": 1110
},
{
"entropy": 0.4801861563697457,
"epoch": 2.6356680400235435,
"grad_norm": 0.0498046875,
"learning_rate": 8.990310921460865e-07,
"loss": 0.48504209518432617,
"mean_token_accuracy": 0.8492361098527909,
"num_tokens": 86360259.0,
"step": 1120
},
{
"entropy": 0.47704076319932937,
"epoch": 2.659211300765156,
"grad_norm": 0.056640625,
"learning_rate": 7.889573342965884e-07,
"loss": 0.4823050022125244,
"mean_token_accuracy": 0.8498645894229412,
"num_tokens": 87089379.0,
"step": 1130
},
{
"entropy": 0.491375151835382,
"epoch": 2.6827545615067687,
"grad_norm": 0.055419921875,
"learning_rate": 6.857932026414305e-07,
"loss": 0.4903556823730469,
"mean_token_accuracy": 0.8461613107472659,
"num_tokens": 87800946.0,
"step": 1140
},
{
"entropy": 0.49147001672536134,
"epoch": 2.7062978222483816,
"grad_norm": 0.05029296875,
"learning_rate": 5.896160853344079e-07,
"loss": 0.49661922454833984,
"mean_token_accuracy": 0.8448879312723875,
"num_tokens": 88653378.0,
"step": 1150
},
{
"entropy": 0.48449703082442286,
"epoch": 2.729841082989994,
"grad_norm": 0.0537109375,
"learning_rate": 5.00498129248913e-07,
"loss": 0.49818434715271,
"mean_token_accuracy": 0.8479541372507811,
"num_tokens": 89456233.0,
"step": 1160
},
{
"entropy": 0.5064624701626599,
"epoch": 2.753384343731607,
"grad_norm": 0.061279296875,
"learning_rate": 4.1850618585726477e-07,
"loss": 0.5106511592864991,
"mean_token_accuracy": 0.8413057509809733,
"num_tokens": 90273983.0,
"step": 1170
},
{
"entropy": 0.47172180134803054,
"epoch": 2.7769276044732196,
"grad_norm": 0.046875,
"learning_rate": 3.437017610823323e-07,
"loss": 0.4803746223449707,
"mean_token_accuracy": 0.8520814351737499,
"num_tokens": 91088834.0,
"step": 1180
},
{
"entropy": 0.48386119250208137,
"epoch": 2.800470865214832,
"grad_norm": 0.05908203125,
"learning_rate": 2.7614096915913325e-07,
"loss": 0.5014448642730713,
"mean_token_accuracy": 0.848398182913661,
"num_tokens": 91850372.0,
"step": 1190
},
{
"entropy": 0.473122557811439,
"epoch": 2.824014125956445,
"grad_norm": 0.0537109375,
"learning_rate": 2.1587449054095933e-07,
"loss": 0.46098814010620115,
"mean_token_accuracy": 0.8519114807248116,
"num_tokens": 92604266.0,
"step": 1200
},
{
"epoch": 2.824014125956445,
"eval_entropy": 0.49339639424611736,
"eval_loss": 0.4793107807636261,
"eval_mean_token_accuracy": 0.8440321680553798,
"eval_num_tokens": 92604266.0,
"eval_runtime": 129.0476,
"eval_samples_per_second": 2.774,
"eval_steps_per_second": 2.774,
"step": 1200
},
{
"entropy": 0.4882160659879446,
"epoch": 2.8475573866980577,
"grad_norm": 0.0576171875,
"learning_rate": 1.6294753388163886e-07,
"loss": 0.4841885566711426,
"mean_token_accuracy": 0.8477579735219478,
"num_tokens": 93383250.0,
"step": 1210
},
{
"entropy": 0.4832633834332228,
"epoch": 2.8711006474396705,
"grad_norm": 0.05859375,
"learning_rate": 1.1739980212245983e-07,
"loss": 0.49979395866394044,
"mean_token_accuracy": 0.849021689593792,
"num_tokens": 94238149.0,
"step": 1220
},
{
"entropy": 0.5064708769321442,
"epoch": 2.8946439081812834,
"grad_norm": 0.05517578125,
"learning_rate": 7.926546270915603e-08,
"loss": 0.523139476776123,
"mean_token_accuracy": 0.8406466241925955,
"num_tokens": 95043273.0,
"step": 1230
},
{
"entropy": 0.47456965055316686,
"epoch": 2.9181871689228958,
"grad_norm": 0.0478515625,
"learning_rate": 4.8573121961347226e-08,
"loss": 0.4729292392730713,
"mean_token_accuracy": 0.8510482702404261,
"num_tokens": 95859784.0,
"step": 1240
},
{
"entropy": 0.4945228073745966,
"epoch": 2.9417304296645086,
"grad_norm": 0.0576171875,
"learning_rate": 2.5345803613617826e-08,
"loss": 0.49330801963806153,
"mean_token_accuracy": 0.8454886879771948,
"num_tokens": 96662576.0,
"step": 1250
},
{
"entropy": 0.48427404602989554,
"epoch": 2.9652736904061214,
"grad_norm": 0.051513671875,
"learning_rate": 9.600931544362369e-09,
"loss": 0.4869691848754883,
"mean_token_accuracy": 0.8485142230987549,
"num_tokens": 97491833.0,
"step": 1260
},
{
"entropy": 0.48224083045497534,
"epoch": 2.988816951147734,
"grad_norm": 0.052734375,
"learning_rate": 1.3503167053285916e-09,
"loss": 0.4842352390289307,
"mean_token_accuracy": 0.8483625873923302,
"num_tokens": 98341011.0,
"step": 1270
},
{
"epoch": 3.0,
"eval_entropy": 0.49332542625885434,
"eval_loss": 0.4793912470340729,
"eval_mean_token_accuracy": 0.8440024263365975,
"eval_num_tokens": 98771934.0,
"eval_runtime": 125.3024,
"eval_samples_per_second": 2.857,
"eval_steps_per_second": 2.857,
"step": 1275
}
],
"logging_steps": 10,
"max_steps": 1275,
"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": 8.35260937439957e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}