clairedhx's picture
Upload folder using huggingface_hub
c269315 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 461,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.021719948415122516,
"grad_norm": 0.0,
"learning_rate": 0.00019869848156182213,
"loss": 6.0531,
"mean_token_accuracy": 0.37881034857127815,
"num_tokens": 78573.0,
"step": 10
},
{
"epoch": 0.04343989683024503,
"grad_norm": 0.0,
"learning_rate": 0.00019725234996384672,
"loss": 5.9903,
"mean_token_accuracy": 0.3887314551044255,
"num_tokens": 157496.0,
"step": 20
},
{
"epoch": 0.06515984524536754,
"grad_norm": 0.0,
"learning_rate": 0.00019580621836587129,
"loss": 5.9929,
"mean_token_accuracy": 0.3850487937917933,
"num_tokens": 236512.0,
"step": 30
},
{
"epoch": 0.08687979366049006,
"grad_norm": 0.0,
"learning_rate": 0.00019436008676789588,
"loss": 5.986,
"mean_token_accuracy": 0.3865805763518438,
"num_tokens": 315608.0,
"step": 40
},
{
"epoch": 0.10859974207561257,
"grad_norm": 0.0,
"learning_rate": 0.00019291395516992047,
"loss": 6.0318,
"mean_token_accuracy": 0.38490854618139564,
"num_tokens": 394791.0,
"step": 50
},
{
"epoch": 0.13031969049073508,
"grad_norm": 0.0,
"learning_rate": 0.00019146782357194506,
"loss": 5.9875,
"mean_token_accuracy": 0.38546840590424836,
"num_tokens": 473456.0,
"step": 60
},
{
"epoch": 0.1520396389058576,
"grad_norm": 0.0,
"learning_rate": 0.00019002169197396965,
"loss": 5.9773,
"mean_token_accuracy": 0.3837947838823311,
"num_tokens": 552247.0,
"step": 70
},
{
"epoch": 0.17375958732098012,
"grad_norm": 0.0,
"learning_rate": 0.0001885755603759942,
"loss": 6.0197,
"mean_token_accuracy": 0.38375892234034836,
"num_tokens": 631096.0,
"step": 80
},
{
"epoch": 0.19547953573610263,
"grad_norm": 0.0,
"learning_rate": 0.0001871294287780188,
"loss": 6.0014,
"mean_token_accuracy": 0.38519658900331705,
"num_tokens": 710275.0,
"step": 90
},
{
"epoch": 0.21719948415122514,
"grad_norm": 0.0,
"learning_rate": 0.0001856832971800434,
"loss": 6.0217,
"mean_token_accuracy": 0.3826989881345071,
"num_tokens": 789174.0,
"step": 100
},
{
"epoch": 0.23891943256634765,
"grad_norm": 0.0,
"learning_rate": 0.00018423716558206799,
"loss": 6.0294,
"mean_token_accuracy": 0.3842650496866554,
"num_tokens": 867922.0,
"step": 110
},
{
"epoch": 0.26063938098147016,
"grad_norm": 0.0,
"learning_rate": 0.00018279103398409255,
"loss": 5.9548,
"mean_token_accuracy": 0.3875111517496407,
"num_tokens": 947073.0,
"step": 120
},
{
"epoch": 0.2823593293965927,
"grad_norm": 0.0,
"learning_rate": 0.00018134490238611714,
"loss": 6.0071,
"mean_token_accuracy": 0.38376112943515184,
"num_tokens": 1026211.0,
"step": 130
},
{
"epoch": 0.3040792778117152,
"grad_norm": 0.0,
"learning_rate": 0.00017989877078814173,
"loss": 6.0105,
"mean_token_accuracy": 0.38463024909142407,
"num_tokens": 1105147.0,
"step": 140
},
{
"epoch": 0.3257992262268377,
"grad_norm": 0.0,
"learning_rate": 0.0001784526391901663,
"loss": 6.0449,
"mean_token_accuracy": 0.38241248747799544,
"num_tokens": 1183837.0,
"step": 150
},
{
"epoch": 0.34751917464196025,
"grad_norm": 0.0,
"learning_rate": 0.00017700650759219091,
"loss": 5.9946,
"mean_token_accuracy": 0.3821917780907825,
"num_tokens": 1262676.0,
"step": 160
},
{
"epoch": 0.36923912305708273,
"grad_norm": 0.0,
"learning_rate": 0.00017556037599421548,
"loss": 6.0049,
"mean_token_accuracy": 0.3842250820598565,
"num_tokens": 1341759.0,
"step": 170
},
{
"epoch": 0.39095907147220527,
"grad_norm": 0.0,
"learning_rate": 0.00017411424439624007,
"loss": 5.9736,
"mean_token_accuracy": 0.3861917880363762,
"num_tokens": 1420987.0,
"step": 180
},
{
"epoch": 0.41267901988732775,
"grad_norm": 0.0,
"learning_rate": 0.00017266811279826466,
"loss": 6.0431,
"mean_token_accuracy": 0.38146835477091373,
"num_tokens": 1499903.0,
"step": 190
},
{
"epoch": 0.4343989683024503,
"grad_norm": 0.0,
"learning_rate": 0.00017122198120028922,
"loss": 6.0069,
"mean_token_accuracy": 0.3861038032686338,
"num_tokens": 1578880.0,
"step": 200
},
{
"epoch": 0.4561189167175728,
"grad_norm": 0.0,
"learning_rate": 0.00016977584960231381,
"loss": 6.0091,
"mean_token_accuracy": 0.3845075036631897,
"num_tokens": 1657709.0,
"step": 210
},
{
"epoch": 0.4778388651326953,
"grad_norm": 0.0,
"learning_rate": 0.0001683297180043384,
"loss": 6.0029,
"mean_token_accuracy": 0.38288453239947556,
"num_tokens": 1736620.0,
"step": 220
},
{
"epoch": 0.49955881354781784,
"grad_norm": 0.0,
"learning_rate": 0.000166883586406363,
"loss": 5.9933,
"mean_token_accuracy": 0.38531269936356694,
"num_tokens": 1815478.0,
"step": 230
},
{
"epoch": 0.5212787619629403,
"grad_norm": 0.0,
"learning_rate": 0.00016543745480838756,
"loss": 6.0334,
"mean_token_accuracy": 0.3833939728909172,
"num_tokens": 1894256.0,
"step": 240
},
{
"epoch": 0.5429987103780628,
"grad_norm": 0.0,
"learning_rate": 0.00016399132321041215,
"loss": 6.0484,
"mean_token_accuracy": 0.3841994108865038,
"num_tokens": 1972997.0,
"step": 250
},
{
"epoch": 0.5647186587931854,
"grad_norm": 0.0,
"learning_rate": 0.00016254519161243674,
"loss": 6.0285,
"mean_token_accuracy": 0.38443261398933826,
"num_tokens": 2051890.0,
"step": 260
},
{
"epoch": 0.5864386072083079,
"grad_norm": 0.0,
"learning_rate": 0.00016109906001446133,
"loss": 5.983,
"mean_token_accuracy": 0.385862308065407,
"num_tokens": 2130746.0,
"step": 270
},
{
"epoch": 0.6081585556234304,
"grad_norm": 0.0,
"learning_rate": 0.00015965292841648592,
"loss": 6.0046,
"mean_token_accuracy": 0.3859730801777914,
"num_tokens": 2209603.0,
"step": 280
},
{
"epoch": 0.6298785040385529,
"grad_norm": 0.0,
"learning_rate": 0.0001582067968185105,
"loss": 5.9887,
"mean_token_accuracy": 0.38499277490191164,
"num_tokens": 2288743.0,
"step": 290
},
{
"epoch": 0.6515984524536754,
"grad_norm": 0.0,
"learning_rate": 0.00015676066522053508,
"loss": 5.9788,
"mean_token_accuracy": 0.3864025830756873,
"num_tokens": 2367648.0,
"step": 300
},
{
"epoch": 0.6733184008687979,
"grad_norm": 0.0,
"learning_rate": 0.00015531453362255964,
"loss": 6.0162,
"mean_token_accuracy": 0.38221894631860776,
"num_tokens": 2446256.0,
"step": 310
},
{
"epoch": 0.6950383492839205,
"grad_norm": 0.0,
"learning_rate": 0.00015386840202458423,
"loss": 6.0017,
"mean_token_accuracy": 0.38538019855041056,
"num_tokens": 2525065.0,
"step": 320
},
{
"epoch": 0.716758297699043,
"grad_norm": 0.0,
"learning_rate": 0.00015242227042660883,
"loss": 5.9569,
"mean_token_accuracy": 0.3852926092222333,
"num_tokens": 2604183.0,
"step": 330
},
{
"epoch": 0.7384782461141655,
"grad_norm": 0.0,
"learning_rate": 0.00015097613882863342,
"loss": 6.0072,
"mean_token_accuracy": 0.38616998645011336,
"num_tokens": 2683084.0,
"step": 340
},
{
"epoch": 0.7601981945292879,
"grad_norm": 0.0,
"learning_rate": 0.000149530007230658,
"loss": 6.0428,
"mean_token_accuracy": 0.3831095602363348,
"num_tokens": 2761824.0,
"step": 350
},
{
"epoch": 0.7819181429444105,
"grad_norm": 0.0,
"learning_rate": 0.00014808387563268257,
"loss": 5.9781,
"mean_token_accuracy": 0.3861894382047467,
"num_tokens": 2840709.0,
"step": 360
},
{
"epoch": 0.803638091359533,
"grad_norm": 0.0,
"learning_rate": 0.00014663774403470716,
"loss": 5.9898,
"mean_token_accuracy": 0.3846066597965546,
"num_tokens": 2919385.0,
"step": 370
},
{
"epoch": 0.8253580397746555,
"grad_norm": 0.0,
"learning_rate": 0.00014519161243673173,
"loss": 6.0098,
"mean_token_accuracy": 0.38357423364650456,
"num_tokens": 2998308.0,
"step": 380
},
{
"epoch": 0.8470779881897781,
"grad_norm": 0.0,
"learning_rate": 0.00014374548083875634,
"loss": 6.0349,
"mean_token_accuracy": 0.3809299209038727,
"num_tokens": 3076962.0,
"step": 390
},
{
"epoch": 0.8687979366049006,
"grad_norm": 0.0,
"learning_rate": 0.0001422993492407809,
"loss": 6.0294,
"mean_token_accuracy": 0.38217092433478683,
"num_tokens": 3155983.0,
"step": 400
},
{
"epoch": 0.890517885020023,
"grad_norm": 0.0,
"learning_rate": 0.0001408532176428055,
"loss": 5.9728,
"mean_token_accuracy": 0.3870704318396747,
"num_tokens": 3234960.0,
"step": 410
},
{
"epoch": 0.9122378334351456,
"grad_norm": 0.0,
"learning_rate": 0.0001394070860448301,
"loss": 6.0541,
"mean_token_accuracy": 0.38209462116938087,
"num_tokens": 3313797.0,
"step": 420
},
{
"epoch": 0.9339577818502681,
"grad_norm": 0.0,
"learning_rate": 0.00013796095444685465,
"loss": 5.9871,
"mean_token_accuracy": 0.38401242352556436,
"num_tokens": 3392880.0,
"step": 430
},
{
"epoch": 0.9556777302653906,
"grad_norm": 0.0,
"learning_rate": 0.00013651482284887927,
"loss": 5.9901,
"mean_token_accuracy": 0.38375150066567587,
"num_tokens": 3471597.0,
"step": 440
},
{
"epoch": 0.9773976786805131,
"grad_norm": 0.0,
"learning_rate": 0.00013506869125090384,
"loss": 5.9797,
"mean_token_accuracy": 0.38728573790285736,
"num_tokens": 3550697.0,
"step": 450
},
{
"epoch": 0.9991176270956357,
"grad_norm": 0.0,
"learning_rate": 0.00013362255965292843,
"loss": 5.9971,
"mean_token_accuracy": 0.38420643559657036,
"num_tokens": 3629481.0,
"step": 460
}
],
"logging_steps": 10,
"max_steps": 1383,
"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": false
},
"attributes": {}
}
},
"total_flos": 1.553509208459428e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}