avsolatorio's picture
Training in progress, step 19000, checkpoint
fb10b55 verified
{
"best_metric": 0.0380592942237854,
"best_model_checkpoint": "doc-topic-model_eval-02_train-01/checkpoint-14000",
"epoch": 9.368836291913215,
"eval_steps": 1000,
"global_step": 19000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.2465483234714004,
"grad_norm": 0.32817578315734863,
"learning_rate": 1.9950690335305722e-05,
"loss": 0.1659,
"step": 500
},
{
"epoch": 0.4930966469428008,
"grad_norm": 0.34106990694999695,
"learning_rate": 1.9901380670611442e-05,
"loss": 0.0941,
"step": 1000
},
{
"epoch": 0.4930966469428008,
"eval_accuracy": 0.9813654208653996,
"eval_f1": 0.0,
"eval_loss": 0.09066470712423325,
"eval_precision": 0.0,
"eval_recall": 0.0,
"eval_runtime": 12.1347,
"eval_samples_per_second": 668.329,
"eval_steps_per_second": 2.637,
"step": 1000
},
{
"epoch": 0.7396449704142012,
"grad_norm": 0.4004117548465729,
"learning_rate": 1.9852071005917162e-05,
"loss": 0.088,
"step": 1500
},
{
"epoch": 0.9861932938856016,
"grad_norm": 0.37588435411453247,
"learning_rate": 1.980276134122288e-05,
"loss": 0.0787,
"step": 2000
},
{
"epoch": 0.9861932938856016,
"eval_accuracy": 0.9813654208653996,
"eval_f1": 0.0,
"eval_loss": 0.07067307829856873,
"eval_precision": 0.0,
"eval_recall": 0.0,
"eval_runtime": 12.2547,
"eval_samples_per_second": 661.789,
"eval_steps_per_second": 2.611,
"step": 2000
},
{
"epoch": 1.232741617357002,
"grad_norm": 0.43946701288223267,
"learning_rate": 1.9753451676528602e-05,
"loss": 0.0696,
"step": 2500
},
{
"epoch": 1.4792899408284024,
"grad_norm": 0.4252438545227051,
"learning_rate": 1.9704142011834322e-05,
"loss": 0.0628,
"step": 3000
},
{
"epoch": 1.4792899408284024,
"eval_accuracy": 0.9822313873889196,
"eval_f1": 0.1224889759921607,
"eval_loss": 0.057456616312265396,
"eval_precision": 0.7682177348551361,
"eval_recall": 0.066550045634317,
"eval_runtime": 14.2849,
"eval_samples_per_second": 567.732,
"eval_steps_per_second": 2.24,
"step": 3000
},
{
"epoch": 1.725838264299803,
"grad_norm": 0.3535268306732178,
"learning_rate": 1.965483234714004e-05,
"loss": 0.0584,
"step": 3500
},
{
"epoch": 1.972386587771203,
"grad_norm": 0.3976692855358124,
"learning_rate": 1.9605522682445763e-05,
"loss": 0.0537,
"step": 4000
},
{
"epoch": 1.972386587771203,
"eval_accuracy": 0.9842042603852205,
"eval_f1": 0.3201366436893796,
"eval_loss": 0.050263650715351105,
"eval_precision": 0.8086286594761171,
"eval_recall": 0.19957407970794036,
"eval_runtime": 14.3334,
"eval_samples_per_second": 565.811,
"eval_steps_per_second": 2.233,
"step": 4000
},
{
"epoch": 2.2189349112426036,
"grad_norm": 0.24940212070941925,
"learning_rate": 1.9556213017751483e-05,
"loss": 0.0499,
"step": 4500
},
{
"epoch": 2.465483234714004,
"grad_norm": 0.40094295144081116,
"learning_rate": 1.95069033530572e-05,
"loss": 0.0478,
"step": 5000
},
{
"epoch": 2.465483234714004,
"eval_accuracy": 0.9851467607749763,
"eval_f1": 0.4262564327165225,
"eval_loss": 0.04696211963891983,
"eval_precision": 0.7606486908948809,
"eval_recall": 0.2960906601764527,
"eval_runtime": 14.3295,
"eval_samples_per_second": 565.965,
"eval_steps_per_second": 2.233,
"step": 5000
},
{
"epoch": 2.712031558185404,
"grad_norm": 0.42049625515937805,
"learning_rate": 1.9457593688362923e-05,
"loss": 0.0463,
"step": 5500
},
{
"epoch": 2.9585798816568047,
"grad_norm": 0.41673073172569275,
"learning_rate": 1.940828402366864e-05,
"loss": 0.0453,
"step": 6000
},
{
"epoch": 2.9585798816568047,
"eval_accuracy": 0.9857760392306929,
"eval_f1": 0.4983003399320136,
"eval_loss": 0.044437214732170105,
"eval_precision": 0.7269544924154026,
"eval_recall": 0.37906905993306966,
"eval_runtime": 14.5887,
"eval_samples_per_second": 555.911,
"eval_steps_per_second": 2.193,
"step": 6000
},
{
"epoch": 3.2051282051282053,
"grad_norm": 0.3240315914154053,
"learning_rate": 1.935897435897436e-05,
"loss": 0.0424,
"step": 6500
},
{
"epoch": 3.4516765285996054,
"grad_norm": 0.39667147397994995,
"learning_rate": 1.930966469428008e-05,
"loss": 0.0389,
"step": 7000
},
{
"epoch": 3.4516765285996054,
"eval_accuracy": 0.9864237425060589,
"eval_f1": 0.5409058231488139,
"eval_loss": 0.04192586615681648,
"eval_precision": 0.7312427108980174,
"eval_recall": 0.4291907514450867,
"eval_runtime": 14.4636,
"eval_samples_per_second": 560.719,
"eval_steps_per_second": 2.212,
"step": 7000
},
{
"epoch": 3.698224852071006,
"grad_norm": 0.39966270327568054,
"learning_rate": 1.92603550295858e-05,
"loss": 0.0403,
"step": 7500
},
{
"epoch": 3.9447731755424065,
"grad_norm": 0.42601555585861206,
"learning_rate": 1.921104536489152e-05,
"loss": 0.0393,
"step": 8000
},
{
"epoch": 3.9447731755424065,
"eval_accuracy": 0.9863302011139929,
"eval_f1": 0.5480106846618867,
"eval_loss": 0.04111693799495697,
"eval_precision": 0.7138322549139299,
"eval_recall": 0.4447064192272589,
"eval_runtime": 14.5558,
"eval_samples_per_second": 557.167,
"eval_steps_per_second": 2.198,
"step": 8000
},
{
"epoch": 4.191321499013807,
"grad_norm": 0.41485270857810974,
"learning_rate": 1.916173570019724e-05,
"loss": 0.0361,
"step": 8500
},
{
"epoch": 4.437869822485207,
"grad_norm": 0.4282112717628479,
"learning_rate": 1.911242603550296e-05,
"loss": 0.0349,
"step": 9000
},
{
"epoch": 4.437869822485207,
"eval_accuracy": 0.9868149156001531,
"eval_f1": 0.57472,
"eval_loss": 0.039900876581668854,
"eval_precision": 0.7202933425002864,
"eval_recall": 0.4780955278369334,
"eval_runtime": 14.4367,
"eval_samples_per_second": 561.763,
"eval_steps_per_second": 2.217,
"step": 9000
},
{
"epoch": 4.684418145956608,
"grad_norm": 0.5737874507904053,
"learning_rate": 1.906311637080868e-05,
"loss": 0.0358,
"step": 9500
},
{
"epoch": 4.930966469428008,
"grad_norm": 0.42196542024612427,
"learning_rate": 1.90138067061144e-05,
"loss": 0.0344,
"step": 10000
},
{
"epoch": 4.930966469428008,
"eval_accuracy": 0.9870388480235838,
"eval_f1": 0.575815204786864,
"eval_loss": 0.03913598880171776,
"eval_precision": 0.7379621923671382,
"eval_recall": 0.47208700943109216,
"eval_runtime": 14.3745,
"eval_samples_per_second": 564.193,
"eval_steps_per_second": 2.226,
"step": 10000
},
{
"epoch": 5.177514792899408,
"grad_norm": 0.2073846012353897,
"learning_rate": 1.896459566074951e-05,
"loss": 0.0315,
"step": 10500
},
{
"epoch": 5.424063116370808,
"grad_norm": 0.3816153109073639,
"learning_rate": 1.891528599605523e-05,
"loss": 0.0302,
"step": 11000
},
{
"epoch": 5.424063116370808,
"eval_accuracy": 0.9871295548280113,
"eval_f1": 0.5903739455997113,
"eval_loss": 0.03845709562301636,
"eval_precision": 0.7254184680190666,
"eval_recall": 0.49771828414968056,
"eval_runtime": 14.5373,
"eval_samples_per_second": 557.876,
"eval_steps_per_second": 2.201,
"step": 11000
},
{
"epoch": 5.670611439842209,
"grad_norm": 0.4880998730659485,
"learning_rate": 1.886597633136095e-05,
"loss": 0.0321,
"step": 11500
},
{
"epoch": 5.9171597633136095,
"grad_norm": 0.31077542901039124,
"learning_rate": 1.881666666666667e-05,
"loss": 0.0305,
"step": 12000
},
{
"epoch": 5.9171597633136095,
"eval_accuracy": 0.9871040435392662,
"eval_f1": 0.5966218912089374,
"eval_loss": 0.038683824241161346,
"eval_precision": 0.7151663301094696,
"eval_recall": 0.5117888652266505,
"eval_runtime": 14.4549,
"eval_samples_per_second": 561.056,
"eval_steps_per_second": 2.214,
"step": 12000
},
{
"epoch": 6.16370808678501,
"grad_norm": 0.4404219686985016,
"learning_rate": 1.876735700197239e-05,
"loss": 0.0281,
"step": 12500
},
{
"epoch": 6.410256410256411,
"grad_norm": 0.39860355854034424,
"learning_rate": 1.8718145956607497e-05,
"loss": 0.027,
"step": 13000
},
{
"epoch": 6.410256410256411,
"eval_accuracy": 0.9874441940558697,
"eval_f1": 0.605653238370799,
"eval_loss": 0.0383986160159111,
"eval_precision": 0.7301706557904905,
"eval_recall": 0.5174170976574384,
"eval_runtime": 14.2815,
"eval_samples_per_second": 567.867,
"eval_steps_per_second": 2.241,
"step": 13000
},
{
"epoch": 6.65680473372781,
"grad_norm": 0.3162294924259186,
"learning_rate": 1.8668836291913217e-05,
"loss": 0.0267,
"step": 13500
},
{
"epoch": 6.903353057199211,
"grad_norm": 0.3698256313800812,
"learning_rate": 1.8619526627218937e-05,
"loss": 0.0282,
"step": 14000
},
{
"epoch": 6.903353057199211,
"eval_accuracy": 0.9875349008602974,
"eval_f1": 0.6079436544376589,
"eval_loss": 0.0380592942237854,
"eval_precision": 0.7344103392568659,
"eval_recall": 0.5186340127776088,
"eval_runtime": 14.3349,
"eval_samples_per_second": 565.751,
"eval_steps_per_second": 2.232,
"step": 14000
},
{
"epoch": 7.149901380670611,
"grad_norm": 0.42440325021743774,
"learning_rate": 1.8570216962524657e-05,
"loss": 0.0252,
"step": 14500
},
{
"epoch": 7.396449704142012,
"grad_norm": 0.5403586626052856,
"learning_rate": 1.8521005917159765e-05,
"loss": 0.0235,
"step": 15000
},
{
"epoch": 7.396449704142012,
"eval_accuracy": 0.9874016752412943,
"eval_f1": 0.6180880773361976,
"eval_loss": 0.038525186479091644,
"eval_precision": 0.7102794509726473,
"eval_recall": 0.5470794037115911,
"eval_runtime": 14.711,
"eval_samples_per_second": 551.288,
"eval_steps_per_second": 2.175,
"step": 15000
},
{
"epoch": 7.642998027613412,
"grad_norm": 0.3601667582988739,
"learning_rate": 1.8471696252465485e-05,
"loss": 0.0243,
"step": 15500
},
{
"epoch": 7.889546351084813,
"grad_norm": 0.4192611575126648,
"learning_rate": 1.8422386587771205e-05,
"loss": 0.0255,
"step": 16000
},
{
"epoch": 7.889546351084813,
"eval_accuracy": 0.9876312768400017,
"eval_f1": 0.6257237208903376,
"eval_loss": 0.038173139095306396,
"eval_precision": 0.7173763398564263,
"eval_recall": 0.5548372376026772,
"eval_runtime": 14.4228,
"eval_samples_per_second": 562.305,
"eval_steps_per_second": 2.219,
"step": 16000
},
{
"epoch": 8.136094674556213,
"grad_norm": 0.13463503122329712,
"learning_rate": 1.8373076923076926e-05,
"loss": 0.0224,
"step": 16500
},
{
"epoch": 8.382642998027613,
"grad_norm": 0.25073572993278503,
"learning_rate": 1.8323865877712033e-05,
"loss": 0.0214,
"step": 17000
},
{
"epoch": 8.382642998027613,
"eval_accuracy": 0.9877319047011636,
"eval_f1": 0.6352911435072048,
"eval_loss": 0.0381532646715641,
"eval_precision": 0.7121670130360854,
"eval_recall": 0.5733951931852753,
"eval_runtime": 14.3056,
"eval_samples_per_second": 566.91,
"eval_steps_per_second": 2.237,
"step": 17000
},
{
"epoch": 8.629191321499015,
"grad_norm": 0.39663228392601013,
"learning_rate": 1.8274556213017754e-05,
"loss": 0.0215,
"step": 17500
},
{
"epoch": 8.875739644970414,
"grad_norm": 0.7587671279907227,
"learning_rate": 1.822524654832347e-05,
"loss": 0.0222,
"step": 18000
},
{
"epoch": 8.875739644970414,
"eval_accuracy": 0.9876114347265331,
"eval_f1": 0.628153316033522,
"eval_loss": 0.038794856518507004,
"eval_precision": 0.7127135823921228,
"eval_recall": 0.5615302707636143,
"eval_runtime": 14.4829,
"eval_samples_per_second": 559.969,
"eval_steps_per_second": 2.209,
"step": 18000
},
{
"epoch": 9.122287968441814,
"grad_norm": 0.14514634013175964,
"learning_rate": 1.8175936883629194e-05,
"loss": 0.0198,
"step": 18500
},
{
"epoch": 9.368836291913215,
"grad_norm": 0.44190242886543274,
"learning_rate": 1.8126725838264302e-05,
"loss": 0.0192,
"step": 19000
},
{
"epoch": 9.368836291913215,
"eval_accuracy": 0.9874668707569766,
"eval_f1": 0.632078219263574,
"eval_loss": 0.039640188217163086,
"eval_precision": 0.6977128685588316,
"eval_recall": 0.5777304533008822,
"eval_runtime": 14.7066,
"eval_samples_per_second": 551.452,
"eval_steps_per_second": 2.176,
"step": 19000
}
],
"logging_steps": 500,
"max_steps": 202800,
"num_input_tokens_seen": 0,
"num_train_epochs": 100,
"save_steps": 1000,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 5,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 429748313255712.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}