|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 5.0, |
|
"global_step": 1375, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 3e-05, |
|
"loss": 1.8887, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_exact_match": 75.80889309366131, |
|
"eval_f1": 84.41435788887438, |
|
"eval_runtime": 4.2189, |
|
"eval_samples_per_second": 2519.399, |
|
"eval_steps_per_second": 8.059, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 3e-05, |
|
"loss": 1.0166, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_exact_match": 79.08230842005676, |
|
"eval_f1": 86.94262157084606, |
|
"eval_runtime": 3.7419, |
|
"eval_samples_per_second": 2840.535, |
|
"eval_steps_per_second": 9.086, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 3e-05, |
|
"loss": 0.8084, |
|
"step": 825 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_exact_match": 80.03784295175024, |
|
"eval_f1": 87.72233558421931, |
|
"eval_runtime": 3.7476, |
|
"eval_samples_per_second": 2836.222, |
|
"eval_steps_per_second": 9.072, |
|
"step": 825 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 3e-05, |
|
"loss": 0.661, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_exact_match": 80.1608325449385, |
|
"eval_f1": 87.6426540801448, |
|
"eval_runtime": 3.707, |
|
"eval_samples_per_second": 2867.288, |
|
"eval_steps_per_second": 9.172, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 3e-05, |
|
"loss": 0.5426, |
|
"step": 1375 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_exact_match": 80.2081362346263, |
|
"eval_f1": 87.74581825580132, |
|
"eval_runtime": 3.6892, |
|
"eval_samples_per_second": 2881.145, |
|
"eval_steps_per_second": 9.216, |
|
"step": 1375 |
|
} |
|
], |
|
"max_steps": 5500, |
|
"num_train_epochs": 20, |
|
"total_flos": 165523350355968.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|