|
{ |
|
"best_metric": NaN, |
|
"best_model_checkpoint": "/tmp/model/checkpoint-549", |
|
"epoch": 1.0, |
|
"eval_steps": 500, |
|
"global_step": 549, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 108 |
|
}, |
|
{ |
|
"epoch": 0.25, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 135 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 162 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 189 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 216 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 243 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 270 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 297 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 324 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 351 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 378 |
|
}, |
|
{ |
|
"epoch": 0.74, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 405 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 432 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 459 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 486 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 513 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 540 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.1690909090909091, |
|
"eval_f1_macro": 0.09132538710036761, |
|
"eval_f1_micro": 0.1690909090909091, |
|
"eval_f1_weighted": 0.08854425957244272, |
|
"eval_loss": NaN, |
|
"eval_precision_macro": 0.07907624633431085, |
|
"eval_precision_micro": 0.1690909090909091, |
|
"eval_precision_weighted": 0.08039189549453478, |
|
"eval_recall_macro": 0.18150387596899226, |
|
"eval_recall_micro": 0.1690909090909091, |
|
"eval_recall_weighted": 0.1690909090909091, |
|
"eval_runtime": 2.6849, |
|
"eval_samples_per_second": 204.847, |
|
"eval_steps_per_second": 25.699, |
|
"step": 549 |
|
} |
|
], |
|
"logging_steps": 27, |
|
"max_steps": 1647, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 1.7017698479807693e+17, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|