sentiment-pt-pl10-4 / trainer_state.json
apwic's picture
End of training
bde61b1 verified
raw
history blame contribute delete
No virus
11 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 20.0,
"eval_steps": 500,
"global_step": 2440,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 3.928847551345825,
"learning_rate": 4.75e-05,
"loss": 0.5514,
"step": 122
},
{
"epoch": 1.0,
"eval_accuracy": 0.7218045112781954,
"eval_f1": 0.6545993371027491,
"eval_loss": 0.5084339380264282,
"eval_precision": 0.6600553802562947,
"eval_recall": 0.6506637570467357,
"eval_runtime": 1.7877,
"eval_samples_per_second": 223.186,
"eval_steps_per_second": 27.968,
"step": 122
},
{
"epoch": 2.0,
"grad_norm": 3.589020013809204,
"learning_rate": 4.5e-05,
"loss": 0.4753,
"step": 244
},
{
"epoch": 2.0,
"eval_accuracy": 0.8170426065162907,
"eval_f1": 0.7662453352594198,
"eval_loss": 0.40073099732398987,
"eval_precision": 0.7870255775577557,
"eval_recall": 0.7530460083651573,
"eval_runtime": 1.8277,
"eval_samples_per_second": 218.302,
"eval_steps_per_second": 27.356,
"step": 244
},
{
"epoch": 3.0,
"grad_norm": 7.217240810394287,
"learning_rate": 4.25e-05,
"loss": 0.3834,
"step": 366
},
{
"epoch": 3.0,
"eval_accuracy": 0.8395989974937343,
"eval_f1": 0.7805280528052805,
"eval_loss": 0.35415172576904297,
"eval_precision": 0.8448765432098766,
"eval_recall": 0.7540007274049827,
"eval_runtime": 1.8275,
"eval_samples_per_second": 218.333,
"eval_steps_per_second": 27.36,
"step": 366
},
{
"epoch": 4.0,
"grad_norm": 1.0342143774032593,
"learning_rate": 4e-05,
"loss": 0.3188,
"step": 488
},
{
"epoch": 4.0,
"eval_accuracy": 0.8621553884711779,
"eval_f1": 0.8333016825553572,
"eval_loss": 0.32140952348709106,
"eval_precision": 0.8341507249908615,
"eval_recall": 0.8324695399163484,
"eval_runtime": 1.8265,
"eval_samples_per_second": 218.445,
"eval_steps_per_second": 27.374,
"step": 488
},
{
"epoch": 5.0,
"grad_norm": 1.17711341381073,
"learning_rate": 3.7500000000000003e-05,
"loss": 0.2981,
"step": 610
},
{
"epoch": 5.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.855319904024935,
"eval_loss": 0.2984267771244049,
"eval_precision": 0.862378106322743,
"eval_recall": 0.8491543917075832,
"eval_runtime": 1.8288,
"eval_samples_per_second": 218.18,
"eval_steps_per_second": 27.341,
"step": 610
},
{
"epoch": 6.0,
"grad_norm": 4.153679370880127,
"learning_rate": 3.5e-05,
"loss": 0.2835,
"step": 732
},
{
"epoch": 6.0,
"eval_accuracy": 0.8696741854636592,
"eval_f1": 0.8368354828562441,
"eval_loss": 0.28104665875434875,
"eval_precision": 0.8520237470480189,
"eval_recall": 0.8252864157119476,
"eval_runtime": 1.8275,
"eval_samples_per_second": 218.335,
"eval_steps_per_second": 27.36,
"step": 732
},
{
"epoch": 7.0,
"grad_norm": 1.0657362937927246,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.2517,
"step": 854
},
{
"epoch": 7.0,
"eval_accuracy": 0.8872180451127819,
"eval_f1": 0.8622036668943447,
"eval_loss": 0.28660351037979126,
"eval_precision": 0.8671602787456446,
"eval_recall": 0.8577014002545917,
"eval_runtime": 1.7903,
"eval_samples_per_second": 222.862,
"eval_steps_per_second": 27.928,
"step": 854
},
{
"epoch": 8.0,
"grad_norm": 3.21960711479187,
"learning_rate": 3e-05,
"loss": 0.2374,
"step": 976
},
{
"epoch": 8.0,
"eval_accuracy": 0.8796992481203008,
"eval_f1": 0.8485289465359063,
"eval_loss": 0.2996794879436493,
"eval_precision": 0.8671008040401356,
"eval_recall": 0.8348790689216221,
"eval_runtime": 1.7958,
"eval_samples_per_second": 222.185,
"eval_steps_per_second": 27.843,
"step": 976
},
{
"epoch": 9.0,
"grad_norm": 4.313467025756836,
"learning_rate": 2.7500000000000004e-05,
"loss": 0.2293,
"step": 1098
},
{
"epoch": 9.0,
"eval_accuracy": 0.8796992481203008,
"eval_f1": 0.8518472677764712,
"eval_loss": 0.29089975357055664,
"eval_precision": 0.8599810186649794,
"eval_recall": 0.844880887434079,
"eval_runtime": 1.7949,
"eval_samples_per_second": 222.299,
"eval_steps_per_second": 27.857,
"step": 1098
},
{
"epoch": 10.0,
"grad_norm": 2.5997090339660645,
"learning_rate": 2.5e-05,
"loss": 0.2091,
"step": 1220
},
{
"epoch": 10.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.8589543987905864,
"eval_loss": 0.29276683926582336,
"eval_precision": 0.8564068100358423,
"eval_recall": 0.8616566648481543,
"eval_runtime": 1.7944,
"eval_samples_per_second": 222.357,
"eval_steps_per_second": 27.864,
"step": 1220
},
{
"epoch": 11.0,
"grad_norm": 3.3290369510650635,
"learning_rate": 2.25e-05,
"loss": 0.198,
"step": 1342
},
{
"epoch": 11.0,
"eval_accuracy": 0.8796992481203008,
"eval_f1": 0.8569892473118279,
"eval_loss": 0.28468698263168335,
"eval_precision": 0.8522004241781549,
"eval_recall": 0.8623840698308783,
"eval_runtime": 1.8002,
"eval_samples_per_second": 221.645,
"eval_steps_per_second": 27.775,
"step": 1342
},
{
"epoch": 12.0,
"grad_norm": 5.568458557128906,
"learning_rate": 2e-05,
"loss": 0.1906,
"step": 1464
},
{
"epoch": 12.0,
"eval_accuracy": 0.87468671679198,
"eval_f1": 0.843111041207927,
"eval_loss": 0.31200090050697327,
"eval_precision": 0.8585673051692468,
"eval_recall": 0.831332969630842,
"eval_runtime": 1.7936,
"eval_samples_per_second": 222.458,
"eval_steps_per_second": 27.877,
"step": 1464
},
{
"epoch": 13.0,
"grad_norm": 1.5475130081176758,
"learning_rate": 1.75e-05,
"loss": 0.1818,
"step": 1586
},
{
"epoch": 13.0,
"eval_accuracy": 0.8771929824561403,
"eval_f1": 0.850729517396184,
"eval_loss": 0.2906310558319092,
"eval_precision": 0.8535087719298247,
"eval_recall": 0.8481087470449173,
"eval_runtime": 1.795,
"eval_samples_per_second": 222.279,
"eval_steps_per_second": 27.854,
"step": 1586
},
{
"epoch": 14.0,
"grad_norm": 5.56436014175415,
"learning_rate": 1.5e-05,
"loss": 0.1756,
"step": 1708
},
{
"epoch": 14.0,
"eval_accuracy": 0.8771929824561403,
"eval_f1": 0.8514869535493182,
"eval_loss": 0.28101998567581177,
"eval_precision": 0.8523821128305106,
"eval_recall": 0.8506092016730314,
"eval_runtime": 1.7948,
"eval_samples_per_second": 222.311,
"eval_steps_per_second": 27.859,
"step": 1708
},
{
"epoch": 15.0,
"grad_norm": 1.7677656412124634,
"learning_rate": 1.25e-05,
"loss": 0.174,
"step": 1830
},
{
"epoch": 15.0,
"eval_accuracy": 0.8847117794486216,
"eval_f1": 0.8595070422535211,
"eval_loss": 0.2828814685344696,
"eval_precision": 0.8633733523114054,
"eval_recall": 0.8559283506092017,
"eval_runtime": 1.7987,
"eval_samples_per_second": 221.825,
"eval_steps_per_second": 27.798,
"step": 1830
},
{
"epoch": 16.0,
"grad_norm": 2.1199889183044434,
"learning_rate": 1e-05,
"loss": 0.1705,
"step": 1952
},
{
"epoch": 16.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.855319904024935,
"eval_loss": 0.292202889919281,
"eval_precision": 0.862378106322743,
"eval_recall": 0.8491543917075832,
"eval_runtime": 1.7972,
"eval_samples_per_second": 222.011,
"eval_steps_per_second": 27.821,
"step": 1952
},
{
"epoch": 17.0,
"grad_norm": 2.521127223968506,
"learning_rate": 7.5e-06,
"loss": 0.1509,
"step": 2074
},
{
"epoch": 17.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.8568221901555235,
"eval_loss": 0.2991296947002411,
"eval_precision": 0.8596491228070176,
"eval_recall": 0.8541553009638116,
"eval_runtime": 1.7965,
"eval_samples_per_second": 222.104,
"eval_steps_per_second": 27.833,
"step": 2074
},
{
"epoch": 18.0,
"grad_norm": 3.4539577960968018,
"learning_rate": 5e-06,
"loss": 0.1549,
"step": 2196
},
{
"epoch": 18.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.855319904024935,
"eval_loss": 0.3000391125679016,
"eval_precision": 0.862378106322743,
"eval_recall": 0.8491543917075832,
"eval_runtime": 1.7991,
"eval_samples_per_second": 221.772,
"eval_steps_per_second": 27.791,
"step": 2196
},
{
"epoch": 19.0,
"grad_norm": 1.3508776426315308,
"learning_rate": 2.5e-06,
"loss": 0.1469,
"step": 2318
},
{
"epoch": 19.0,
"eval_accuracy": 0.8847117794486216,
"eval_f1": 0.8609292598654301,
"eval_loss": 0.2942558228969574,
"eval_precision": 0.8609292598654301,
"eval_recall": 0.8609292598654301,
"eval_runtime": 1.8067,
"eval_samples_per_second": 220.841,
"eval_steps_per_second": 27.674,
"step": 2318
},
{
"epoch": 20.0,
"grad_norm": 3.1654489040374756,
"learning_rate": 0.0,
"loss": 0.1493,
"step": 2440
},
{
"epoch": 20.0,
"eval_accuracy": 0.8822055137844611,
"eval_f1": 0.855319904024935,
"eval_loss": 0.3026413023471832,
"eval_precision": 0.862378106322743,
"eval_recall": 0.8491543917075832,
"eval_runtime": 1.7968,
"eval_samples_per_second": 222.067,
"eval_steps_per_second": 27.828,
"step": 2440
},
{
"epoch": 20.0,
"step": 2440,
"total_flos": 8460375995160000.0,
"train_loss": 0.24652244458433056,
"train_runtime": 623.7969,
"train_samples_per_second": 116.865,
"train_steps_per_second": 3.912
}
],
"logging_steps": 500,
"max_steps": 2440,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"save_steps": 500,
"total_flos": 8460375995160000.0,
"train_batch_size": 30,
"trial_name": null,
"trial_params": null
}