|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.0, |
|
"global_step": 68223, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 1.3333333333333333e-05, |
|
"loss": 0.308, |
|
"step": 22741 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8924560969577047, |
|
"eval_combined_score": 0.8740405069726762, |
|
"eval_f1": 0.8556249169876479, |
|
"eval_loss": 0.2548316419124603, |
|
"eval_runtime": 413.8779, |
|
"eval_samples_per_second": 97.686, |
|
"eval_steps_per_second": 12.211, |
|
"step": 22741 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 6.666666666666667e-06, |
|
"loss": 0.201, |
|
"step": 45482 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9032401681919366, |
|
"eval_combined_score": 0.886515570715593, |
|
"eval_f1": 0.8697909732392491, |
|
"eval_loss": 0.2880714237689972, |
|
"eval_runtime": 412.3711, |
|
"eval_samples_per_second": 98.043, |
|
"eval_steps_per_second": 12.256, |
|
"step": 45482 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.1416, |
|
"step": 68223 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9083848627256987, |
|
"eval_combined_score": 0.8925741188794849, |
|
"eval_f1": 0.8767633750332712, |
|
"eval_loss": 0.37517139315605164, |
|
"eval_runtime": 412.699, |
|
"eval_samples_per_second": 97.965, |
|
"eval_steps_per_second": 12.246, |
|
"step": 68223 |
|
} |
|
], |
|
"max_steps": 68223, |
|
"num_train_epochs": 3, |
|
"total_flos": 2.8719571514554368e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|