limernyou's picture
Upload folder using huggingface_hub
7140a44 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.25,
"eval_steps": 100.0,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0025,
"grad_norm": 0.09379793703556061,
"learning_rate": 5.999999999999999e-06,
"loss": 0.6799,
"step": 5
},
{
"epoch": 0.005,
"grad_norm": 0.1399833709001541,
"learning_rate": 1.3499999999999998e-05,
"loss": 0.6954,
"step": 10
},
{
"epoch": 0.0075,
"grad_norm": 0.08632303029298782,
"learning_rate": 2.1e-05,
"loss": 0.6921,
"step": 15
},
{
"epoch": 0.01,
"grad_norm": 0.10006701201200485,
"learning_rate": 2.8499999999999998e-05,
"loss": 0.69,
"step": 20
},
{
"epoch": 0.0125,
"grad_norm": 0.07633858919143677,
"learning_rate": 3.5999999999999994e-05,
"loss": 0.6722,
"step": 25
},
{
"epoch": 0.015,
"grad_norm": 0.09399061650037766,
"learning_rate": 4.3499999999999993e-05,
"loss": 0.6453,
"step": 30
},
{
"epoch": 0.0175,
"grad_norm": 0.0843738541007042,
"learning_rate": 5.1e-05,
"loss": 0.6276,
"step": 35
},
{
"epoch": 0.02,
"grad_norm": 0.08583351224660873,
"learning_rate": 5.85e-05,
"loss": 0.58,
"step": 40
},
{
"epoch": 0.0225,
"grad_norm": 0.09571370482444763,
"learning_rate": 6.599999999999999e-05,
"loss": 0.6355,
"step": 45
},
{
"epoch": 0.025,
"grad_norm": 0.1083935871720314,
"learning_rate": 7.35e-05,
"loss": 0.589,
"step": 50
},
{
"epoch": 0.0275,
"grad_norm": 0.10387319326400757,
"learning_rate": 8.1e-05,
"loss": 0.6061,
"step": 55
},
{
"epoch": 0.03,
"grad_norm": 0.11083361506462097,
"learning_rate": 8.849999999999998e-05,
"loss": 0.572,
"step": 60
},
{
"epoch": 0.0325,
"grad_norm": 0.12665686011314392,
"learning_rate": 9.599999999999999e-05,
"loss": 0.5442,
"step": 65
},
{
"epoch": 0.035,
"grad_norm": 0.1308053582906723,
"learning_rate": 0.00010349999999999998,
"loss": 0.6524,
"step": 70
},
{
"epoch": 0.0375,
"grad_norm": 0.13535510003566742,
"learning_rate": 0.00011099999999999999,
"loss": 0.6404,
"step": 75
},
{
"epoch": 0.04,
"grad_norm": 0.12833671271800995,
"learning_rate": 0.0001185,
"loss": 0.5717,
"step": 80
},
{
"epoch": 0.0425,
"grad_norm": 0.11962099373340607,
"learning_rate": 0.00012599999999999997,
"loss": 0.6098,
"step": 85
},
{
"epoch": 0.045,
"grad_norm": 0.13898271322250366,
"learning_rate": 0.0001335,
"loss": 0.6099,
"step": 90
},
{
"epoch": 0.0475,
"grad_norm": 0.14486610889434814,
"learning_rate": 0.00014099999999999998,
"loss": 0.5744,
"step": 95
},
{
"epoch": 0.05,
"grad_norm": 0.1432138830423355,
"learning_rate": 0.00014849999999999998,
"loss": 0.5659,
"step": 100
},
{
"epoch": 0.0525,
"grad_norm": 0.13487878441810608,
"learning_rate": 0.000156,
"loss": 0.5622,
"step": 105
},
{
"epoch": 0.055,
"grad_norm": 0.12495309859514236,
"learning_rate": 0.0001635,
"loss": 0.5951,
"step": 110
},
{
"epoch": 0.0575,
"grad_norm": 0.13011734187602997,
"learning_rate": 0.00017099999999999998,
"loss": 0.6249,
"step": 115
},
{
"epoch": 0.06,
"grad_norm": 0.13987745344638824,
"learning_rate": 0.00017849999999999997,
"loss": 0.559,
"step": 120
},
{
"epoch": 0.0625,
"grad_norm": 0.13373605906963348,
"learning_rate": 0.000186,
"loss": 0.5475,
"step": 125
},
{
"epoch": 0.065,
"grad_norm": 0.12433867901563644,
"learning_rate": 0.0001935,
"loss": 0.5274,
"step": 130
},
{
"epoch": 0.0675,
"grad_norm": 0.11097615957260132,
"learning_rate": 0.000201,
"loss": 0.678,
"step": 135
},
{
"epoch": 0.07,
"grad_norm": 0.1155027225613594,
"learning_rate": 0.00020849999999999997,
"loss": 0.5611,
"step": 140
},
{
"epoch": 0.0725,
"grad_norm": 0.11431068181991577,
"learning_rate": 0.00021599999999999996,
"loss": 0.6054,
"step": 145
},
{
"epoch": 0.075,
"grad_norm": 0.09796140342950821,
"learning_rate": 0.00022349999999999998,
"loss": 0.5472,
"step": 150
},
{
"epoch": 0.0775,
"grad_norm": 0.09489257633686066,
"learning_rate": 0.00023099999999999998,
"loss": 0.4636,
"step": 155
},
{
"epoch": 0.08,
"grad_norm": 0.10787788033485413,
"learning_rate": 0.0002385,
"loss": 0.6164,
"step": 160
},
{
"epoch": 0.0825,
"grad_norm": 0.10261733084917068,
"learning_rate": 0.00024599999999999996,
"loss": 0.5408,
"step": 165
},
{
"epoch": 0.085,
"grad_norm": 0.11870352178812027,
"learning_rate": 0.0002535,
"loss": 0.5268,
"step": 170
},
{
"epoch": 0.0875,
"grad_norm": 0.11910569667816162,
"learning_rate": 0.000261,
"loss": 0.5461,
"step": 175
},
{
"epoch": 0.09,
"grad_norm": 0.10083702206611633,
"learning_rate": 0.00026849999999999997,
"loss": 0.4794,
"step": 180
},
{
"epoch": 0.0925,
"grad_norm": 0.10453511029481888,
"learning_rate": 0.000276,
"loss": 0.5539,
"step": 185
},
{
"epoch": 0.095,
"grad_norm": 0.101403146982193,
"learning_rate": 0.00028349999999999995,
"loss": 0.5346,
"step": 190
},
{
"epoch": 0.0975,
"grad_norm": 0.10724789649248123,
"learning_rate": 0.00029099999999999997,
"loss": 0.6026,
"step": 195
},
{
"epoch": 0.1,
"grad_norm": 0.1140277311205864,
"learning_rate": 0.0002985,
"loss": 0.5193,
"step": 200
},
{
"epoch": 0.1025,
"grad_norm": 0.09706108272075653,
"learning_rate": 0.0002999963446058092,
"loss": 0.54,
"step": 205
},
{
"epoch": 0.105,
"grad_norm": 0.10003062337636948,
"learning_rate": 0.0002999814948722491,
"loss": 0.5365,
"step": 210
},
{
"epoch": 0.1075,
"grad_norm": 0.1078687533736229,
"learning_rate": 0.00029995522346717746,
"loss": 0.5889,
"step": 215
},
{
"epoch": 0.11,
"grad_norm": 0.10538115352392197,
"learning_rate": 0.0002999175323912636,
"loss": 0.5611,
"step": 220
},
{
"epoch": 0.1125,
"grad_norm": 0.1020808294415474,
"learning_rate": 0.00029986842451482874,
"loss": 0.6103,
"step": 225
},
{
"epoch": 0.115,
"grad_norm": 0.09635835886001587,
"learning_rate": 0.0002998079035776279,
"loss": 0.5229,
"step": 230
},
{
"epoch": 0.1175,
"grad_norm": 0.10287190228700638,
"learning_rate": 0.0002997359741885648,
"loss": 0.5312,
"step": 235
},
{
"epoch": 0.12,
"grad_norm": 0.09160075336694717,
"learning_rate": 0.0002996526418253408,
"loss": 0.5673,
"step": 240
},
{
"epoch": 0.1225,
"grad_norm": 0.08691006153821945,
"learning_rate": 0.000299557912834038,
"loss": 0.5326,
"step": 245
},
{
"epoch": 0.125,
"grad_norm": 0.10096988826990128,
"learning_rate": 0.00029945179442863594,
"loss": 0.6004,
"step": 250
},
{
"epoch": 0.1275,
"grad_norm": 0.09594204276800156,
"learning_rate": 0.000299334294690462,
"loss": 0.5516,
"step": 255
},
{
"epoch": 0.13,
"grad_norm": 0.10281919687986374,
"learning_rate": 0.00029920542256757607,
"loss": 0.5515,
"step": 260
},
{
"epoch": 0.1325,
"grad_norm": 0.08547840267419815,
"learning_rate": 0.00029906518787408944,
"loss": 0.5243,
"step": 265
},
{
"epoch": 0.135,
"grad_norm": 0.10161560773849487,
"learning_rate": 0.0002989136012894168,
"loss": 0.5096,
"step": 270
},
{
"epoch": 0.1375,
"grad_norm": 0.09101904183626175,
"learning_rate": 0.0002987506743574635,
"loss": 0.553,
"step": 275
},
{
"epoch": 0.14,
"grad_norm": 0.09769442677497864,
"learning_rate": 0.0002985764194857463,
"loss": 0.4953,
"step": 280
},
{
"epoch": 0.1425,
"grad_norm": 0.10991579294204712,
"learning_rate": 0.00029839084994444826,
"loss": 0.5152,
"step": 285
},
{
"epoch": 0.145,
"grad_norm": 0.09450916200876236,
"learning_rate": 0.00029819397986540836,
"loss": 0.5397,
"step": 290
},
{
"epoch": 0.1475,
"grad_norm": 0.10876069217920303,
"learning_rate": 0.0002979858242410454,
"loss": 0.4858,
"step": 295
},
{
"epoch": 0.15,
"grad_norm": 0.097995825111866,
"learning_rate": 0.00029776639892321606,
"loss": 0.5566,
"step": 300
},
{
"epoch": 0.1525,
"grad_norm": 0.1145048514008522,
"learning_rate": 0.0002975357206220079,
"loss": 0.4531,
"step": 305
},
{
"epoch": 0.155,
"grad_norm": 0.10271880775690079,
"learning_rate": 0.00029729380690446654,
"loss": 0.5199,
"step": 310
},
{
"epoch": 0.1575,
"grad_norm": 0.11095371842384338,
"learning_rate": 0.0002970406761932583,
"loss": 0.5416,
"step": 315
},
{
"epoch": 0.16,
"grad_norm": 0.09949438273906708,
"learning_rate": 0.00029677634776526673,
"loss": 0.4841,
"step": 320
},
{
"epoch": 0.1625,
"grad_norm": 0.1163724958896637,
"learning_rate": 0.00029650084175012517,
"loss": 0.4913,
"step": 325
},
{
"epoch": 0.165,
"grad_norm": 0.10726840049028397,
"learning_rate": 0.00029621417912868323,
"loss": 0.5203,
"step": 330
},
{
"epoch": 0.1675,
"grad_norm": 0.09609931707382202,
"learning_rate": 0.00029591638173140947,
"loss": 0.5607,
"step": 335
},
{
"epoch": 0.17,
"grad_norm": 0.10824442654848099,
"learning_rate": 0.0002956074722367286,
"loss": 0.6004,
"step": 340
},
{
"epoch": 0.1725,
"grad_norm": 0.10465679317712784,
"learning_rate": 0.00029528747416929463,
"loss": 0.5216,
"step": 345
},
{
"epoch": 0.175,
"grad_norm": 0.10518354922533035,
"learning_rate": 0.0002949564118981994,
"loss": 0.499,
"step": 350
},
{
"epoch": 0.1775,
"grad_norm": 0.0955279991030693,
"learning_rate": 0.0002946143106351165,
"loss": 0.5607,
"step": 355
},
{
"epoch": 0.18,
"grad_norm": 0.11159654706716537,
"learning_rate": 0.0002942611964323817,
"loss": 0.5204,
"step": 360
},
{
"epoch": 0.1825,
"grad_norm": 0.09571187198162079,
"learning_rate": 0.0002938970961810086,
"loss": 0.6113,
"step": 365
},
{
"epoch": 0.185,
"grad_norm": 0.11854679882526398,
"learning_rate": 0.0002935220376086411,
"loss": 0.5639,
"step": 370
},
{
"epoch": 0.1875,
"grad_norm": 0.1050512045621872,
"learning_rate": 0.0002931360492774415,
"loss": 0.548,
"step": 375
},
{
"epoch": 0.19,
"grad_norm": 0.1053968220949173,
"learning_rate": 0.0002927391605819157,
"loss": 0.5507,
"step": 380
},
{
"epoch": 0.1925,
"grad_norm": 0.10567320138216019,
"learning_rate": 0.00029233140174667445,
"loss": 0.5312,
"step": 385
},
{
"epoch": 0.195,
"grad_norm": 0.11914283782243729,
"learning_rate": 0.0002919128038241318,
"loss": 0.5961,
"step": 390
},
{
"epoch": 0.1975,
"grad_norm": 0.09915795922279358,
"learning_rate": 0.0002914833986921401,
"loss": 0.5086,
"step": 395
},
{
"epoch": 0.2,
"grad_norm": 0.10796502232551575,
"learning_rate": 0.0002910432190515628,
"loss": 0.5585,
"step": 400
},
{
"epoch": 0.2025,
"grad_norm": 0.10748997330665588,
"learning_rate": 0.00029059229842378373,
"loss": 0.5466,
"step": 405
},
{
"epoch": 0.205,
"grad_norm": 0.10696308314800262,
"learning_rate": 0.0002901306711481544,
"loss": 0.5513,
"step": 410
},
{
"epoch": 0.2075,
"grad_norm": 0.10418657958507538,
"learning_rate": 0.0002896583723793792,
"loss": 0.5391,
"step": 415
},
{
"epoch": 0.21,
"grad_norm": 0.16421550512313843,
"learning_rate": 0.00028917543808483796,
"loss": 0.4699,
"step": 420
},
{
"epoch": 0.2125,
"grad_norm": 0.12929962575435638,
"learning_rate": 0.00028868190504184696,
"loss": 0.4984,
"step": 425
},
{
"epoch": 0.215,
"grad_norm": 0.10469454526901245,
"learning_rate": 0.00028817781083485816,
"loss": 0.5119,
"step": 430
},
{
"epoch": 0.2175,
"grad_norm": 0.0964970663189888,
"learning_rate": 0.00028766319385259713,
"loss": 0.5167,
"step": 435
},
{
"epoch": 0.22,
"grad_norm": 0.12395574152469635,
"learning_rate": 0.00028713809328513953,
"loss": 0.5692,
"step": 440
},
{
"epoch": 0.2225,
"grad_norm": 0.10189738124608994,
"learning_rate": 0.0002866025491209265,
"loss": 0.4628,
"step": 445
},
{
"epoch": 0.225,
"grad_norm": 0.10433454066514969,
"learning_rate": 0.0002860566021437197,
"loss": 0.4869,
"step": 450
},
{
"epoch": 0.2275,
"grad_norm": 0.13003456592559814,
"learning_rate": 0.0002855002939294951,
"loss": 0.5291,
"step": 455
},
{
"epoch": 0.23,
"grad_norm": 0.11692202836275101,
"learning_rate": 0.000284933666843277,
"loss": 0.5229,
"step": 460
},
{
"epoch": 0.2325,
"grad_norm": 0.10757846385240555,
"learning_rate": 0.0002843567640359119,
"loss": 0.435,
"step": 465
},
{
"epoch": 0.235,
"grad_norm": 0.10775501281023026,
"learning_rate": 0.00028376962944078206,
"loss": 0.4418,
"step": 470
},
{
"epoch": 0.2375,
"grad_norm": 0.11543692648410797,
"learning_rate": 0.00028317230777046015,
"loss": 0.4204,
"step": 475
},
{
"epoch": 0.24,
"grad_norm": 0.10946698486804962,
"learning_rate": 0.00028256484451330403,
"loss": 0.49,
"step": 480
},
{
"epoch": 0.2425,
"grad_norm": 0.11528221517801285,
"learning_rate": 0.00028194728592999247,
"loss": 0.4752,
"step": 485
},
{
"epoch": 0.245,
"grad_norm": 0.10474205762147903,
"learning_rate": 0.0002813196790500027,
"loss": 0.4847,
"step": 490
},
{
"epoch": 0.2475,
"grad_norm": 0.10768820345401764,
"learning_rate": 0.00028068207166802837,
"loss": 0.4664,
"step": 495
},
{
"epoch": 0.25,
"grad_norm": 0.12158560007810593,
"learning_rate": 0.00028003451234034037,
"loss": 0.4741,
"step": 500
}
],
"logging_steps": 5,
"max_steps": 2000,
"num_input_tokens_seen": 0,
"num_train_epochs": 9223372036854775807,
"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": 6.57394539429888e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}