|
{ |
|
"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": 1.8697, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_exact_match": 74.49385052034059, |
|
"eval_f1": 83.73659826874903, |
|
"eval_runtime": 5.3211, |
|
"eval_samples_per_second": 1996.969, |
|
"eval_steps_per_second": 6.39, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 3e-05, |
|
"loss": 1.0286, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_exact_match": 78.61873226111636, |
|
"eval_f1": 86.81427416943762, |
|
"eval_runtime": 3.8646, |
|
"eval_samples_per_second": 2749.59, |
|
"eval_steps_per_second": 8.798, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 3e-05, |
|
"loss": 0.8267, |
|
"step": 825 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_exact_match": 79.34720908230842, |
|
"eval_f1": 87.37493005554087, |
|
"eval_runtime": 3.8851, |
|
"eval_samples_per_second": 2735.061, |
|
"eval_steps_per_second": 8.751, |
|
"step": 825 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 3e-05, |
|
"loss": 0.6826, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_exact_match": 79.02554399243141, |
|
"eval_f1": 87.1065115863637, |
|
"eval_runtime": 3.8434, |
|
"eval_samples_per_second": 2764.747, |
|
"eval_steps_per_second": 8.846, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 3e-05, |
|
"loss": 0.5675, |
|
"step": 1375 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_exact_match": 79.20529801324503, |
|
"eval_f1": 87.42053692550513, |
|
"eval_runtime": 3.8716, |
|
"eval_samples_per_second": 2744.592, |
|
"eval_steps_per_second": 8.782, |
|
"step": 1375 |
|
} |
|
], |
|
"max_steps": 5500, |
|
"num_train_epochs": 20, |
|
"total_flos": 165447852883968.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|