A-Mahla's picture
A-Mahla HF Staff
Model save
a685456 verified
raw
history blame
39 kB
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 100,
"global_step": 704,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.007106057914372002,
"grad_norm": 50.32903949504469,
"learning_rate": 3.6363636363636366e-06,
"loss": 4.3632,
"mean_token_accuracy": 0.441570908203721,
"num_tokens": 5473393.0,
"step": 5
},
{
"epoch": 0.014212115828744005,
"grad_norm": 14.807993883918904,
"learning_rate": 8.181818181818183e-06,
"loss": 3.1394,
"mean_token_accuracy": 0.49803002886474135,
"num_tokens": 10986730.0,
"step": 10
},
{
"epoch": 0.021318173743116006,
"grad_norm": 5.124010397941281,
"learning_rate": 1.2727272727272728e-05,
"loss": 1.5984,
"mean_token_accuracy": 0.6562768064439297,
"num_tokens": 16504629.0,
"step": 15
},
{
"epoch": 0.02842423165748801,
"grad_norm": 2.392040251927866,
"learning_rate": 1.7272727272727274e-05,
"loss": 1.0563,
"mean_token_accuracy": 0.7480768047273159,
"num_tokens": 22018554.0,
"step": 20
},
{
"epoch": 0.03553028957186001,
"grad_norm": 3.2881890911900955,
"learning_rate": 1.999961805535155e-05,
"loss": 0.8892,
"mean_token_accuracy": 0.7724978730082512,
"num_tokens": 27528237.0,
"step": 25
},
{
"epoch": 0.04263634748623201,
"grad_norm": 3.296418319427866,
"learning_rate": 1.9995321550350065e-05,
"loss": 0.7968,
"mean_token_accuracy": 0.7858201645314693,
"num_tokens": 33059234.0,
"step": 30
},
{
"epoch": 0.04974240540060401,
"grad_norm": 2.650113760947062,
"learning_rate": 1.998625339625423e-05,
"loss": 0.7639,
"mean_token_accuracy": 0.7874479472637177,
"num_tokens": 38579238.0,
"step": 35
},
{
"epoch": 0.05684846331497602,
"grad_norm": 0.8030808619999289,
"learning_rate": 1.9972418403347817e-05,
"loss": 0.7136,
"mean_token_accuracy": 0.7952406644821167,
"num_tokens": 44087596.0,
"step": 40
},
{
"epoch": 0.06395452122934801,
"grad_norm": 0.38079517614839553,
"learning_rate": 1.9953823910527057e-05,
"loss": 0.6781,
"mean_token_accuracy": 0.8054998718202114,
"num_tokens": 49589200.0,
"step": 45
},
{
"epoch": 0.07106057914372002,
"grad_norm": 0.35060604680564306,
"learning_rate": 1.993047978140764e-05,
"loss": 0.6594,
"mean_token_accuracy": 0.8087423123419285,
"num_tokens": 55106291.0,
"step": 50
},
{
"epoch": 0.07816663705809203,
"grad_norm": 0.4403926191014202,
"learning_rate": 1.9902398399092494e-05,
"loss": 0.6293,
"mean_token_accuracy": 0.8166272558271885,
"num_tokens": 60615746.0,
"step": 55
},
{
"epoch": 0.08527269497246402,
"grad_norm": 0.4059804779836136,
"learning_rate": 1.9869594659603032e-05,
"loss": 0.633,
"mean_token_accuracy": 0.8155130945146084,
"num_tokens": 66132359.0,
"step": 60
},
{
"epoch": 0.09237875288683603,
"grad_norm": 0.35058497488520535,
"learning_rate": 1.9832085963977445e-05,
"loss": 0.6263,
"mean_token_accuracy": 0.8166398376226425,
"num_tokens": 71655901.0,
"step": 65
},
{
"epoch": 0.09948481080120802,
"grad_norm": 0.3514975941052687,
"learning_rate": 1.978989220904016e-05,
"loss": 0.6166,
"mean_token_accuracy": 0.817786256223917,
"num_tokens": 77177506.0,
"step": 70
},
{
"epoch": 0.10659086871558003,
"grad_norm": 0.3305576165553241,
"learning_rate": 1.9743035776847377e-05,
"loss": 0.6112,
"mean_token_accuracy": 0.8196637347340584,
"num_tokens": 82719853.0,
"step": 75
},
{
"epoch": 0.11369692662995204,
"grad_norm": 0.338564559273819,
"learning_rate": 1.9691541522814327e-05,
"loss": 0.5925,
"mean_token_accuracy": 0.823684225231409,
"num_tokens": 88237466.0,
"step": 80
},
{
"epoch": 0.12080298454432403,
"grad_norm": 0.3094787313199236,
"learning_rate": 1.963543676253048e-05,
"loss": 0.6006,
"mean_token_accuracy": 0.8217748202383518,
"num_tokens": 93758651.0,
"step": 85
},
{
"epoch": 0.12790904245869603,
"grad_norm": 0.3244755207573469,
"learning_rate": 1.9574751257269748e-05,
"loss": 0.5922,
"mean_token_accuracy": 0.8233424670994282,
"num_tokens": 99280369.0,
"step": 90
},
{
"epoch": 0.13501510037306805,
"grad_norm": 0.37452298605350337,
"learning_rate": 1.950951719820335e-05,
"loss": 0.586,
"mean_token_accuracy": 0.825210265815258,
"num_tokens": 104773871.0,
"step": 95
},
{
"epoch": 0.14212115828744004,
"grad_norm": 0.3637562399439702,
"learning_rate": 1.9439769189323727e-05,
"loss": 0.5942,
"mean_token_accuracy": 0.8233202829957008,
"num_tokens": 110286415.0,
"step": 100
},
{
"epoch": 0.14212115828744004,
"eval_loss": 0.5650674104690552,
"eval_mean_token_accuracy": 0.8260843633559712,
"eval_num_tokens": 110286415.0,
"eval_runtime": 149.0036,
"eval_samples_per_second": 24.422,
"eval_steps_per_second": 0.765,
"step": 100
},
{
"epoch": 0.14922721620181204,
"grad_norm": 0.34962576562336867,
"learning_rate": 1.9365544229088517e-05,
"loss": 0.5897,
"mean_token_accuracy": 0.8245358660817146,
"num_tokens": 115819384.0,
"step": 105
},
{
"epoch": 0.15633327411618406,
"grad_norm": 0.32080702182710497,
"learning_rate": 1.9286881690794425e-05,
"loss": 0.5795,
"mean_token_accuracy": 0.827671080827713,
"num_tokens": 121352740.0,
"step": 110
},
{
"epoch": 0.16343933203055605,
"grad_norm": 0.3302528447867004,
"learning_rate": 1.9203823301691272e-05,
"loss": 0.5898,
"mean_token_accuracy": 0.8234031349420547,
"num_tokens": 126898367.0,
"step": 115
},
{
"epoch": 0.17054538994492804,
"grad_norm": 0.344422613860792,
"learning_rate": 1.9116413120847425e-05,
"loss": 0.5803,
"mean_token_accuracy": 0.8264414891600609,
"num_tokens": 132422935.0,
"step": 120
},
{
"epoch": 0.17765144785930007,
"grad_norm": 0.31498034575502054,
"learning_rate": 1.902469751577826e-05,
"loss": 0.5736,
"mean_token_accuracy": 0.8282143533229828,
"num_tokens": 137934164.0,
"step": 125
},
{
"epoch": 0.18475750577367206,
"grad_norm": 0.29607953526948433,
"learning_rate": 1.892872513785008e-05,
"loss": 0.5625,
"mean_token_accuracy": 0.8306705243885517,
"num_tokens": 143442236.0,
"step": 130
},
{
"epoch": 0.19186356368804405,
"grad_norm": 0.33026938357250507,
"learning_rate": 1.88285468964726e-05,
"loss": 0.5674,
"mean_token_accuracy": 0.8293713837862015,
"num_tokens": 148967668.0,
"step": 135
},
{
"epoch": 0.19896962160241605,
"grad_norm": 0.3098906923396821,
"learning_rate": 1.872421593209355e-05,
"loss": 0.5625,
"mean_token_accuracy": 0.8305731259286404,
"num_tokens": 154497475.0,
"step": 140
},
{
"epoch": 0.20607567951678807,
"grad_norm": 0.39805146321076146,
"learning_rate": 1.861578758800989e-05,
"loss": 0.569,
"mean_token_accuracy": 0.8292202673852443,
"num_tokens": 160003170.0,
"step": 145
},
{
"epoch": 0.21318173743116006,
"grad_norm": 0.314641318728057,
"learning_rate": 1.8503319381010414e-05,
"loss": 0.5632,
"mean_token_accuracy": 0.8299683950841427,
"num_tokens": 165528828.0,
"step": 150
},
{
"epoch": 0.22028779534553206,
"grad_norm": 0.31172255219458456,
"learning_rate": 1.8386870970865488e-05,
"loss": 0.5561,
"mean_token_accuracy": 0.8317106999456882,
"num_tokens": 171050241.0,
"step": 155
},
{
"epoch": 0.22739385325990408,
"grad_norm": 0.3316716520690995,
"learning_rate": 1.8266504128679988e-05,
"loss": 0.5572,
"mean_token_accuracy": 0.8323395892977714,
"num_tokens": 176567106.0,
"step": 160
},
{
"epoch": 0.23449991117427607,
"grad_norm": 0.3018790729986631,
"learning_rate": 1.814228270412624e-05,
"loss": 0.5717,
"mean_token_accuracy": 0.8280466146767139,
"num_tokens": 182090185.0,
"step": 165
},
{
"epoch": 0.24160596908864806,
"grad_norm": 0.3340485136656981,
"learning_rate": 1.8014272591574405e-05,
"loss": 0.5666,
"mean_token_accuracy": 0.8296592086553574,
"num_tokens": 187606737.0,
"step": 170
},
{
"epoch": 0.2487120270030201,
"grad_norm": 0.31420140799198965,
"learning_rate": 1.7882541695138224e-05,
"loss": 0.5521,
"mean_token_accuracy": 0.8335933439433575,
"num_tokens": 193124335.0,
"step": 175
},
{
"epoch": 0.25581808491739205,
"grad_norm": 0.3354458879208076,
"learning_rate": 1.7747159892654646e-05,
"loss": 0.5509,
"mean_token_accuracy": 0.8328722730278969,
"num_tokens": 198639349.0,
"step": 180
},
{
"epoch": 0.2629241428317641,
"grad_norm": 0.3022133339191553,
"learning_rate": 1.7608198998616533e-05,
"loss": 0.5573,
"mean_token_accuracy": 0.8310446247458458,
"num_tokens": 204194484.0,
"step": 185
},
{
"epoch": 0.2700302007461361,
"grad_norm": 0.3224922846056182,
"learning_rate": 1.7465732726077993e-05,
"loss": 0.5535,
"mean_token_accuracy": 0.8318519063293934,
"num_tokens": 209683141.0,
"step": 190
},
{
"epoch": 0.27713625866050806,
"grad_norm": 0.29765302794192444,
"learning_rate": 1.731983664755264e-05,
"loss": 0.5569,
"mean_token_accuracy": 0.8318051770329475,
"num_tokens": 215203256.0,
"step": 195
},
{
"epoch": 0.2842423165748801,
"grad_norm": 0.3410703478926894,
"learning_rate": 1.717058815492548e-05,
"loss": 0.5569,
"mean_token_accuracy": 0.8310887739062309,
"num_tokens": 220715591.0,
"step": 200
},
{
"epoch": 0.2842423165748801,
"eval_loss": 0.5341136455535889,
"eval_mean_token_accuracy": 0.833399682714228,
"eval_num_tokens": 220715591.0,
"eval_runtime": 149.5883,
"eval_samples_per_second": 24.327,
"eval_steps_per_second": 0.762,
"step": 200
},
{
"epoch": 0.2913483744892521,
"grad_norm": 0.2886034985645996,
"learning_rate": 1.701806641839967e-05,
"loss": 0.5567,
"mean_token_accuracy": 0.8324723578989506,
"num_tokens": 226242581.0,
"step": 205
},
{
"epoch": 0.29845443240362407,
"grad_norm": 0.28843151859178723,
"learning_rate": 1.6862352344500004e-05,
"loss": 0.5558,
"mean_token_accuracy": 0.8317767918109894,
"num_tokens": 231752698.0,
"step": 210
},
{
"epoch": 0.3055604903179961,
"grad_norm": 0.2942105037955124,
"learning_rate": 1.6703528533155283e-05,
"loss": 0.5512,
"mean_token_accuracy": 0.8333536356687545,
"num_tokens": 237265750.0,
"step": 215
},
{
"epoch": 0.3126665482323681,
"grad_norm": 0.29970782334352336,
"learning_rate": 1.6541679233882477e-05,
"loss": 0.5467,
"mean_token_accuracy": 0.8344343066215515,
"num_tokens": 242787815.0,
"step": 220
},
{
"epoch": 0.3197726061467401,
"grad_norm": 0.29759819742183974,
"learning_rate": 1.63768903010958e-05,
"loss": 0.55,
"mean_token_accuracy": 0.8330938413739204,
"num_tokens": 248325122.0,
"step": 225
},
{
"epoch": 0.3268786640611121,
"grad_norm": 0.2920108536684172,
"learning_rate": 1.6209249148564437e-05,
"loss": 0.5453,
"mean_token_accuracy": 0.8345815449953079,
"num_tokens": 253826880.0,
"step": 230
},
{
"epoch": 0.3339847219754841,
"grad_norm": 0.29667699234937334,
"learning_rate": 1.603884470304318e-05,
"loss": 0.5578,
"mean_token_accuracy": 0.8316668353974819,
"num_tokens": 259356528.0,
"step": 235
},
{
"epoch": 0.3410907798898561,
"grad_norm": 0.2867819840469066,
"learning_rate": 1.5865767357100383e-05,
"loss": 0.5394,
"mean_token_accuracy": 0.8358893245458603,
"num_tokens": 264887477.0,
"step": 240
},
{
"epoch": 0.3481968378042281,
"grad_norm": 0.332209143957244,
"learning_rate": 1.5690108921168428e-05,
"loss": 0.5456,
"mean_token_accuracy": 0.8347376808524132,
"num_tokens": 270408845.0,
"step": 245
},
{
"epoch": 0.35530289571860013,
"grad_norm": 0.330011762312303,
"learning_rate": 1.5511962574842073e-05,
"loss": 0.5446,
"mean_token_accuracy": 0.8345297470688819,
"num_tokens": 275923409.0,
"step": 250
},
{
"epoch": 0.3624089536329721,
"grad_norm": 0.31031497830420174,
"learning_rate": 1.5331422817450485e-05,
"loss": 0.5478,
"mean_token_accuracy": 0.8336269296705723,
"num_tokens": 281456923.0,
"step": 255
},
{
"epoch": 0.3695150115473441,
"grad_norm": 0.2918876682786512,
"learning_rate": 1.5148585417929212e-05,
"loss": 0.5438,
"mean_token_accuracy": 0.8351672604680062,
"num_tokens": 286973486.0,
"step": 260
},
{
"epoch": 0.37662106946171614,
"grad_norm": 0.3365818739495239,
"learning_rate": 1.4963547364018711e-05,
"loss": 0.541,
"mean_token_accuracy": 0.8354949586093425,
"num_tokens": 292479427.0,
"step": 265
},
{
"epoch": 0.3837271273760881,
"grad_norm": 0.293893859709652,
"learning_rate": 1.477640681081632e-05,
"loss": 0.5436,
"mean_token_accuracy": 0.8349400483071804,
"num_tokens": 298006653.0,
"step": 270
},
{
"epoch": 0.39083318529046013,
"grad_norm": 0.2944189536488024,
"learning_rate": 1.4587263028709013e-05,
"loss": 0.5401,
"mean_token_accuracy": 0.8359036639332771,
"num_tokens": 303515961.0,
"step": 275
},
{
"epoch": 0.3979392432048321,
"grad_norm": 0.3027989379324982,
"learning_rate": 1.4396216350714512e-05,
"loss": 0.5421,
"mean_token_accuracy": 0.8354827515780926,
"num_tokens": 309030348.0,
"step": 280
},
{
"epoch": 0.4050453011192041,
"grad_norm": 0.2978819457639701,
"learning_rate": 1.4203368119258759e-05,
"loss": 0.538,
"mean_token_accuracy": 0.8356474481523037,
"num_tokens": 314557830.0,
"step": 285
},
{
"epoch": 0.41215135903357614,
"grad_norm": 0.3149386649352245,
"learning_rate": 1.4008820632417906e-05,
"loss": 0.5339,
"mean_token_accuracy": 0.8371641159057617,
"num_tokens": 320080082.0,
"step": 290
},
{
"epoch": 0.4192574169479481,
"grad_norm": 0.3059908505846885,
"learning_rate": 1.381267708965339e-05,
"loss": 0.5379,
"mean_token_accuracy": 0.8365371204912663,
"num_tokens": 325602548.0,
"step": 295
},
{
"epoch": 0.4263634748623201,
"grad_norm": 0.3021029670481725,
"learning_rate": 1.3615041537068831e-05,
"loss": 0.5462,
"mean_token_accuracy": 0.8336855717003345,
"num_tokens": 331139258.0,
"step": 300
},
{
"epoch": 0.4263634748623201,
"eval_loss": 0.5192646980285645,
"eval_mean_token_accuracy": 0.8369944780542139,
"eval_num_tokens": 331139258.0,
"eval_runtime": 150.4327,
"eval_samples_per_second": 24.19,
"eval_steps_per_second": 0.758,
"step": 300
},
{
"epoch": 0.43346953277669215,
"grad_norm": 0.3062091073612256,
"learning_rate": 1.3416018812217866e-05,
"loss": 0.5441,
"mean_token_accuracy": 0.8341693080961704,
"num_tokens": 336661954.0,
"step": 305
},
{
"epoch": 0.4405755906910641,
"grad_norm": 0.2877765065298344,
"learning_rate": 1.3215714488492121e-05,
"loss": 0.5288,
"mean_token_accuracy": 0.838797652721405,
"num_tokens": 342190308.0,
"step": 310
},
{
"epoch": 0.44768164860543613,
"grad_norm": 0.2986822105588957,
"learning_rate": 1.3014234819118846e-05,
"loss": 0.5269,
"mean_token_accuracy": 0.8390726670622826,
"num_tokens": 347716991.0,
"step": 315
},
{
"epoch": 0.45478770651980815,
"grad_norm": 0.28753831464660323,
"learning_rate": 1.2811686680797942e-05,
"loss": 0.54,
"mean_token_accuracy": 0.8348217740654945,
"num_tokens": 353240462.0,
"step": 320
},
{
"epoch": 0.4618937644341801,
"grad_norm": 0.3189321553532571,
"learning_rate": 1.2608177517008268e-05,
"loss": 0.5316,
"mean_token_accuracy": 0.8373772338032722,
"num_tokens": 358757193.0,
"step": 325
},
{
"epoch": 0.46899982234855214,
"grad_norm": 0.2740676502206635,
"learning_rate": 1.240381528101327e-05,
"loss": 0.5245,
"mean_token_accuracy": 0.8392882093787193,
"num_tokens": 364274287.0,
"step": 330
},
{
"epoch": 0.47610588026292416,
"grad_norm": 0.29826705795684294,
"learning_rate": 1.2198708378596198e-05,
"loss": 0.5201,
"mean_token_accuracy": 0.8405162297189236,
"num_tokens": 369781348.0,
"step": 335
},
{
"epoch": 0.48321193817729613,
"grad_norm": 0.2810861157555765,
"learning_rate": 1.19929656105553e-05,
"loss": 0.5252,
"mean_token_accuracy": 0.838694840669632,
"num_tokens": 375291603.0,
"step": 340
},
{
"epoch": 0.49031799609166815,
"grad_norm": 0.28476568743444564,
"learning_rate": 1.1786696114989455e-05,
"loss": 0.5264,
"mean_token_accuracy": 0.839257051050663,
"num_tokens": 380805085.0,
"step": 345
},
{
"epoch": 0.4974240540060402,
"grad_norm": 0.2977392563082,
"learning_rate": 1.1580009309404887e-05,
"loss": 0.5276,
"mean_token_accuracy": 0.8389153242111206,
"num_tokens": 386334037.0,
"step": 350
},
{
"epoch": 0.5045301119204122,
"grad_norm": 0.3033446749891465,
"learning_rate": 1.1373014832673661e-05,
"loss": 0.5298,
"mean_token_accuracy": 0.8390403784811497,
"num_tokens": 391841580.0,
"step": 355
},
{
"epoch": 0.5116361698347841,
"grad_norm": 0.3969220524710466,
"learning_rate": 1.1165822486874773e-05,
"loss": 0.5229,
"mean_token_accuracy": 0.8393726870417595,
"num_tokens": 397371651.0,
"step": 360
},
{
"epoch": 0.5187422277491561,
"grad_norm": 0.30559826647342453,
"learning_rate": 1.0958542179048637e-05,
"loss": 0.5244,
"mean_token_accuracy": 0.8402129337191582,
"num_tokens": 402867415.0,
"step": 365
},
{
"epoch": 0.5258482856635281,
"grad_norm": 0.3494017728215535,
"learning_rate": 1.0751283862895914e-05,
"loss": 0.5361,
"mean_token_accuracy": 0.8366998687386513,
"num_tokens": 408390957.0,
"step": 370
},
{
"epoch": 0.5329543435779002,
"grad_norm": 0.353265195510961,
"learning_rate": 1.0544157480451586e-05,
"loss": 0.534,
"mean_token_accuracy": 0.8368604250252247,
"num_tokens": 413913149.0,
"step": 375
},
{
"epoch": 0.5400604014922722,
"grad_norm": 0.2611354161191268,
"learning_rate": 1.033727290376522e-05,
"loss": 0.5361,
"mean_token_accuracy": 0.836609935760498,
"num_tokens": 419431562.0,
"step": 380
},
{
"epoch": 0.5471664594066442,
"grad_norm": 0.2872728729171679,
"learning_rate": 1.013073987661834e-05,
"loss": 0.5338,
"mean_token_accuracy": 0.8370331548154354,
"num_tokens": 424955146.0,
"step": 385
},
{
"epoch": 0.5542725173210161,
"grad_norm": 0.28934761011723314,
"learning_rate": 9.924667956309862e-06,
"loss": 0.5251,
"mean_token_accuracy": 0.8398349188268185,
"num_tokens": 430476718.0,
"step": 390
},
{
"epoch": 0.5613785752353881,
"grad_norm": 0.28067537969678,
"learning_rate": 9.719166455540437e-06,
"loss": 0.5304,
"mean_token_accuracy": 0.8381435446441173,
"num_tokens": 435994507.0,
"step": 395
},
{
"epoch": 0.5684846331497602,
"grad_norm": 0.3568751332581294,
"learning_rate": 9.51434438442655e-06,
"loss": 0.5293,
"mean_token_accuracy": 0.8387467741966248,
"num_tokens": 441515444.0,
"step": 400
},
{
"epoch": 0.5684846331497602,
"eval_loss": 0.5093328356742859,
"eval_mean_token_accuracy": 0.8396573615701575,
"eval_num_tokens": 441515444.0,
"eval_runtime": 150.3037,
"eval_samples_per_second": 24.211,
"eval_steps_per_second": 0.758,
"step": 400
},
{
"epoch": 0.5755906910641322,
"grad_norm": 0.2802098035879255,
"learning_rate": 9.310310392675132e-06,
"loss": 0.5167,
"mean_token_accuracy": 0.8414627239108086,
"num_tokens": 447005744.0,
"step": 405
},
{
"epoch": 0.5826967489785042,
"grad_norm": 0.2668144948670277,
"learning_rate": 9.107172711949324e-06,
"loss": 0.5323,
"mean_token_accuracy": 0.836710449308157,
"num_tokens": 452533510.0,
"step": 410
},
{
"epoch": 0.5898028068928762,
"grad_norm": 0.282320393535823,
"learning_rate": 8.905039098456049e-06,
"loss": 0.5237,
"mean_token_accuracy": 0.8391933210194111,
"num_tokens": 458057489.0,
"step": 415
},
{
"epoch": 0.5969088648072481,
"grad_norm": 0.2623104974680133,
"learning_rate": 8.704016775785742e-06,
"loss": 0.5282,
"mean_token_accuracy": 0.8383334554731846,
"num_tokens": 463589349.0,
"step": 420
},
{
"epoch": 0.6040149227216202,
"grad_norm": 0.28075733994367397,
"learning_rate": 8.50421237803464e-06,
"loss": 0.5226,
"mean_token_accuracy": 0.8393978834152221,
"num_tokens": 469104113.0,
"step": 425
},
{
"epoch": 0.6111209806359922,
"grad_norm": 0.28552247132295744,
"learning_rate": 8.30573189323978e-06,
"loss": 0.5161,
"mean_token_accuracy": 0.8426251098513603,
"num_tokens": 474604196.0,
"step": 430
},
{
"epoch": 0.6182270385503642,
"grad_norm": 0.2792007208746605,
"learning_rate": 8.108680607156669e-06,
"loss": 0.5307,
"mean_token_accuracy": 0.8380370497703552,
"num_tokens": 480124231.0,
"step": 435
},
{
"epoch": 0.6253330964647362,
"grad_norm": 0.2876628277081085,
"learning_rate": 7.913163047409533e-06,
"loss": 0.5235,
"mean_token_accuracy": 0.839199036359787,
"num_tokens": 485642165.0,
"step": 440
},
{
"epoch": 0.6324391543791081,
"grad_norm": 0.27864846137064453,
"learning_rate": 7.719282928043688e-06,
"loss": 0.5248,
"mean_token_accuracy": 0.8390684366226197,
"num_tokens": 491149290.0,
"step": 445
},
{
"epoch": 0.6395452122934802,
"grad_norm": 0.28373247762189147,
"learning_rate": 7.527143094509492e-06,
"loss": 0.5234,
"mean_token_accuracy": 0.8402359418570995,
"num_tokens": 496664600.0,
"step": 450
},
{
"epoch": 0.6466512702078522,
"grad_norm": 0.26738376755844384,
"learning_rate": 7.336845469107061e-06,
"loss": 0.5229,
"mean_token_accuracy": 0.839232936501503,
"num_tokens": 502162941.0,
"step": 455
},
{
"epoch": 0.6537573281222242,
"grad_norm": 0.3006774536256795,
"learning_rate": 7.148490996920661e-06,
"loss": 0.5253,
"mean_token_accuracy": 0.8390106722712517,
"num_tokens": 507685810.0,
"step": 460
},
{
"epoch": 0.6608633860365962,
"grad_norm": 0.26836022137138205,
"learning_rate": 6.9621795922714805e-06,
"loss": 0.5218,
"mean_token_accuracy": 0.8404779210686684,
"num_tokens": 513196397.0,
"step": 465
},
{
"epoch": 0.6679694439509682,
"grad_norm": 0.26829584881370205,
"learning_rate": 6.778010085717202e-06,
"loss": 0.5209,
"mean_token_accuracy": 0.8410870231688022,
"num_tokens": 518716947.0,
"step": 470
},
{
"epoch": 0.6750755018653402,
"grad_norm": 0.2707573848559289,
"learning_rate": 6.596080171626409e-06,
"loss": 0.5239,
"mean_token_accuracy": 0.8392590440809726,
"num_tokens": 524218898.0,
"step": 475
},
{
"epoch": 0.6821815597797122,
"grad_norm": 0.2739664325900379,
"learning_rate": 6.416486356355769e-06,
"loss": 0.5306,
"mean_token_accuracy": 0.8375619657337665,
"num_tokens": 529729639.0,
"step": 480
},
{
"epoch": 0.6892876176940842,
"grad_norm": 0.2868769682396871,
"learning_rate": 6.239323907057342e-06,
"loss": 0.5276,
"mean_token_accuracy": 0.8388026498258114,
"num_tokens": 535240450.0,
"step": 485
},
{
"epoch": 0.6963936756084562,
"grad_norm": 0.27945127177338197,
"learning_rate": 6.064686801143271e-06,
"loss": 0.5096,
"mean_token_accuracy": 0.8433919370174408,
"num_tokens": 540730386.0,
"step": 490
},
{
"epoch": 0.7034997335228282,
"grad_norm": 0.2797688763148102,
"learning_rate": 5.892667676434633e-06,
"loss": 0.5176,
"mean_token_accuracy": 0.8411184750497341,
"num_tokens": 546264785.0,
"step": 495
},
{
"epoch": 0.7106057914372003,
"grad_norm": 0.29234119222810084,
"learning_rate": 5.723357782020867e-06,
"loss": 0.5154,
"mean_token_accuracy": 0.8415673337876797,
"num_tokens": 551771408.0,
"step": 500
},
{
"epoch": 0.7106057914372003,
"eval_loss": 0.5027303099632263,
"eval_mean_token_accuracy": 0.8409134248892466,
"eval_num_tokens": 551771408.0,
"eval_runtime": 150.6202,
"eval_samples_per_second": 24.16,
"eval_steps_per_second": 0.757,
"step": 500
},
{
"epoch": 0.7177118493515722,
"grad_norm": 0.28402079440718836,
"learning_rate": 5.556846929855857e-06,
"loss": 0.5133,
"mean_token_accuracy": 0.8421028688549995,
"num_tokens": 557283870.0,
"step": 505
},
{
"epoch": 0.7248179072659442,
"grad_norm": 0.2831441468283664,
"learning_rate": 5.393223447116409e-06,
"loss": 0.5278,
"mean_token_accuracy": 0.8389511182904243,
"num_tokens": 562803110.0,
"step": 510
},
{
"epoch": 0.7319239651803162,
"grad_norm": 0.37193795016606795,
"learning_rate": 5.232574129348278e-06,
"loss": 0.5168,
"mean_token_accuracy": 0.8417807504534721,
"num_tokens": 568320103.0,
"step": 515
},
{
"epoch": 0.7390300230946882,
"grad_norm": 0.27764965119819857,
"learning_rate": 5.0749841944247e-06,
"loss": 0.5274,
"mean_token_accuracy": 0.8377346590161323,
"num_tokens": 573851289.0,
"step": 520
},
{
"epoch": 0.7461360810090603,
"grad_norm": 0.46925453686500695,
"learning_rate": 4.92053723734182e-06,
"loss": 0.525,
"mean_token_accuracy": 0.8391022063791752,
"num_tokens": 579354449.0,
"step": 525
},
{
"epoch": 0.7532421389234323,
"grad_norm": 0.28343319532373823,
"learning_rate": 4.769315185874951e-06,
"loss": 0.5215,
"mean_token_accuracy": 0.840414184331894,
"num_tokens": 584875200.0,
"step": 530
},
{
"epoch": 0.7603481968378042,
"grad_norm": 0.32287063748249534,
"learning_rate": 4.621398257119266e-06,
"loss": 0.5198,
"mean_token_accuracy": 0.840663468837738,
"num_tokens": 590401576.0,
"step": 535
},
{
"epoch": 0.7674542547521762,
"grad_norm": 0.3396523052676484,
"learning_rate": 4.476864914937923e-06,
"loss": 0.5132,
"mean_token_accuracy": 0.8424190938472748,
"num_tokens": 595916751.0,
"step": 540
},
{
"epoch": 0.7745603126665482,
"grad_norm": 0.275059324923501,
"learning_rate": 4.335791828340183e-06,
"loss": 0.5229,
"mean_token_accuracy": 0.8403938293457032,
"num_tokens": 601460941.0,
"step": 545
},
{
"epoch": 0.7816663705809203,
"grad_norm": 0.26807372924267187,
"learning_rate": 4.1982538308116775e-06,
"loss": 0.5178,
"mean_token_accuracy": 0.8396266974508763,
"num_tokens": 606975325.0,
"step": 550
},
{
"epoch": 0.7887724284952923,
"grad_norm": 0.3385442872306829,
"learning_rate": 4.064323880618279e-06,
"loss": 0.5207,
"mean_token_accuracy": 0.8411053366959095,
"num_tokens": 612497721.0,
"step": 555
},
{
"epoch": 0.7958784864096642,
"grad_norm": 0.28005130030507386,
"learning_rate": 3.934073022104759e-06,
"loss": 0.517,
"mean_token_accuracy": 0.8412538655102253,
"num_tokens": 618029589.0,
"step": 560
},
{
"epoch": 0.8029845443240362,
"grad_norm": 0.29164566017921,
"learning_rate": 3.807570348008672e-06,
"loss": 0.5173,
"mean_token_accuracy": 0.8412310920655728,
"num_tokens": 623561843.0,
"step": 565
},
{
"epoch": 0.8100906022384082,
"grad_norm": 0.27485579792509013,
"learning_rate": 3.684882962809484e-06,
"loss": 0.5247,
"mean_token_accuracy": 0.839312057942152,
"num_tokens": 629091377.0,
"step": 570
},
{
"epoch": 0.8171966601527803,
"grad_norm": 0.27816784714201154,
"learning_rate": 3.5660759471324037e-06,
"loss": 0.5226,
"mean_token_accuracy": 0.8401588529348374,
"num_tokens": 634600764.0,
"step": 575
},
{
"epoch": 0.8243027180671523,
"grad_norm": 0.40137187990535683,
"learning_rate": 3.451212323225786e-06,
"loss": 0.5136,
"mean_token_accuracy": 0.8420207679271698,
"num_tokens": 640105985.0,
"step": 580
},
{
"epoch": 0.8314087759815243,
"grad_norm": 0.277470349562551,
"learning_rate": 3.340353021530409e-06,
"loss": 0.5147,
"mean_token_accuracy": 0.8408644467592239,
"num_tokens": 645630496.0,
"step": 585
},
{
"epoch": 0.8385148338958962,
"grad_norm": 0.2915696671499121,
"learning_rate": 3.2335568483583708e-06,
"loss": 0.5102,
"mean_token_accuracy": 0.8447316095232964,
"num_tokens": 651136302.0,
"step": 590
},
{
"epoch": 0.8456208918102682,
"grad_norm": 0.31523011648160176,
"learning_rate": 3.1308804546987615e-06,
"loss": 0.5241,
"mean_token_accuracy": 0.8398886010050773,
"num_tokens": 656667592.0,
"step": 595
},
{
"epoch": 0.8527269497246402,
"grad_norm": 0.2715441398857633,
"learning_rate": 3.0323783061666307e-06,
"loss": 0.5154,
"mean_token_accuracy": 0.8416090242564678,
"num_tokens": 662182702.0,
"step": 600
},
{
"epoch": 0.8527269497246402,
"eval_loss": 0.49905067682266235,
"eval_mean_token_accuracy": 0.8420795897642771,
"eval_num_tokens": 662182702.0,
"eval_runtime": 150.127,
"eval_samples_per_second": 24.239,
"eval_steps_per_second": 0.759,
"step": 600
},
{
"epoch": 0.8598330076390123,
"grad_norm": 0.4459191186579175,
"learning_rate": 2.9381026541112145e-06,
"loss": 0.5176,
"mean_token_accuracy": 0.8410927847027778,
"num_tokens": 667713320.0,
"step": 605
},
{
"epoch": 0.8669390655533843,
"grad_norm": 0.2700680983325809,
"learning_rate": 2.848103507898745e-06,
"loss": 0.5204,
"mean_token_accuracy": 0.8398772545158864,
"num_tokens": 673241578.0,
"step": 610
},
{
"epoch": 0.8740451234677563,
"grad_norm": 0.3027315294815319,
"learning_rate": 2.7624286083845187e-06,
"loss": 0.5152,
"mean_token_accuracy": 0.8407413326203823,
"num_tokens": 678761901.0,
"step": 615
},
{
"epoch": 0.8811511813821282,
"grad_norm": 0.35742788068442477,
"learning_rate": 2.6811234025883457e-06,
"loss": 0.5104,
"mean_token_accuracy": 0.8433315142989158,
"num_tokens": 684294891.0,
"step": 620
},
{
"epoch": 0.8882572392965002,
"grad_norm": 0.29102667879601235,
"learning_rate": 2.604231019586761e-06,
"loss": 0.5141,
"mean_token_accuracy": 0.8427356474101544,
"num_tokens": 689811922.0,
"step": 625
},
{
"epoch": 0.8953632972108723,
"grad_norm": 0.27752275928788533,
"learning_rate": 2.5317922476348194e-06,
"loss": 0.5165,
"mean_token_accuracy": 0.8411040998995304,
"num_tokens": 695336104.0,
"step": 630
},
{
"epoch": 0.9024693551252443,
"grad_norm": 0.3055065438673597,
"learning_rate": 2.4638455125296043e-06,
"loss": 0.5184,
"mean_token_accuracy": 0.8411155760288238,
"num_tokens": 700859085.0,
"step": 635
},
{
"epoch": 0.9095754130396163,
"grad_norm": 0.2832455318439677,
"learning_rate": 2.400426857226914e-06,
"loss": 0.5116,
"mean_token_accuracy": 0.8422174222767354,
"num_tokens": 706390161.0,
"step": 640
},
{
"epoch": 0.9166814709539882,
"grad_norm": 0.2887928206874307,
"learning_rate": 2.3415699227219517e-06,
"loss": 0.5234,
"mean_token_accuracy": 0.8393123477697373,
"num_tokens": 711902275.0,
"step": 645
},
{
"epoch": 0.9237875288683602,
"grad_norm": 0.28711313316509707,
"learning_rate": 2.2873059302041627e-06,
"loss": 0.514,
"mean_token_accuracy": 0.8423109248280525,
"num_tokens": 717419225.0,
"step": 650
},
{
"epoch": 0.9308935867827323,
"grad_norm": 0.2736325147914108,
"learning_rate": 2.2376636644956656e-06,
"loss": 0.5109,
"mean_token_accuracy": 0.8425532042980194,
"num_tokens": 722935006.0,
"step": 655
},
{
"epoch": 0.9379996446971043,
"grad_norm": 0.30955429096645193,
"learning_rate": 2.192669458782096e-06,
"loss": 0.5197,
"mean_token_accuracy": 0.8405652604997158,
"num_tokens": 728439084.0,
"step": 660
},
{
"epoch": 0.9451057026114763,
"grad_norm": 0.265130214896546,
"learning_rate": 2.1523471806439205e-06,
"loss": 0.5281,
"mean_token_accuracy": 0.8385866686701775,
"num_tokens": 733969356.0,
"step": 665
},
{
"epoch": 0.9522117605258483,
"grad_norm": 0.3128163738373232,
"learning_rate": 2.1167182193956738e-06,
"loss": 0.5099,
"mean_token_accuracy": 0.843552653491497,
"num_tokens": 739459750.0,
"step": 670
},
{
"epoch": 0.9593178184402202,
"grad_norm": 0.2766118277915724,
"learning_rate": 2.0858014747397952e-06,
"loss": 0.5183,
"mean_token_accuracy": 0.8413214348256588,
"num_tokens": 744974432.0,
"step": 675
},
{
"epoch": 0.9664238763545923,
"grad_norm": 0.2848391339478646,
"learning_rate": 2.0596133467411213e-06,
"loss": 0.5109,
"mean_token_accuracy": 0.8428529247641563,
"num_tokens": 750470988.0,
"step": 680
},
{
"epoch": 0.9735299342689643,
"grad_norm": 0.26348775943038943,
"learning_rate": 2.0381677271273177e-06,
"loss": 0.5149,
"mean_token_accuracy": 0.8410044960677624,
"num_tokens": 756002818.0,
"step": 685
},
{
"epoch": 0.9806359921833363,
"grad_norm": 0.2695158145512426,
"learning_rate": 2.0214759919198904e-06,
"loss": 0.5089,
"mean_token_accuracy": 0.8422830864787102,
"num_tokens": 761498903.0,
"step": 690
},
{
"epoch": 0.9877420500977083,
"grad_norm": 0.2833155672506133,
"learning_rate": 2.0095469953996724e-06,
"loss": 0.5174,
"mean_token_accuracy": 0.8406875729560852,
"num_tokens": 767022510.0,
"step": 695
},
{
"epoch": 0.9948481080120803,
"grad_norm": 0.28210706359667653,
"learning_rate": 2.002387065409989e-06,
"loss": 0.5208,
"mean_token_accuracy": 0.8403361722826957,
"num_tokens": 772560079.0,
"step": 700
},
{
"epoch": 0.9948481080120803,
"eval_loss": 0.4970676302909851,
"eval_mean_token_accuracy": 0.8422517065416303,
"eval_num_tokens": 772560079.0,
"eval_runtime": 150.3658,
"eval_samples_per_second": 24.201,
"eval_steps_per_second": 0.758,
"step": 700
},
{
"epoch": 1.0,
"mean_token_accuracy": 0.8405463315289596,
"num_tokens": 776561265.0,
"step": 704,
"total_flos": 6033817814958080.0,
"train_loss": 0.6046972061422738,
"train_runtime": 27367.7567,
"train_samples_per_second": 13.163,
"train_steps_per_second": 0.026
}
],
"logging_steps": 5,
"max_steps": 704,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 1,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 6033817814958080.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}