|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 9.0, |
|
"global_step": 2889, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8465466615600664, |
|
"eval_f1": 0.1998114985862394, |
|
"eval_loss": 0.3642980754375458, |
|
"eval_precision": 0.21178821178821178, |
|
"eval_recall": 0.18911685994647637, |
|
"eval_runtime": 1.6416, |
|
"eval_samples_per_second": 552.505, |
|
"step": 321 |
|
}, |
|
{ |
|
"epoch": 1.56, |
|
"learning_rate": 5e-05, |
|
"loss": 0.45, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.84684454657645, |
|
"eval_f1": 0.3082901554404145, |
|
"eval_loss": 0.3635120987892151, |
|
"eval_precision": 0.298744769874477, |
|
"eval_recall": 0.3184656556645852, |
|
"eval_runtime": 1.6545, |
|
"eval_samples_per_second": 548.199, |
|
"step": 642 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8437805864079323, |
|
"eval_f1": 0.36829066886870354, |
|
"eval_loss": 0.4092691242694855, |
|
"eval_precision": 0.34281322059953884, |
|
"eval_recall": 0.39785905441570024, |
|
"eval_runtime": 1.6673, |
|
"eval_samples_per_second": 543.984, |
|
"step": 963 |
|
}, |
|
{ |
|
"epoch": 3.12, |
|
"learning_rate": 3.9535370447886146e-05, |
|
"loss": 0.2483, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8455678965062343, |
|
"eval_f1": 0.38870703764320785, |
|
"eval_loss": 0.5110172033309937, |
|
"eval_precision": 0.35903250188964475, |
|
"eval_recall": 0.423728813559322, |
|
"eval_runtime": 1.6703, |
|
"eval_samples_per_second": 543.031, |
|
"step": 1284 |
|
}, |
|
{ |
|
"epoch": 4.67, |
|
"learning_rate": 2.9070740895772292e-05, |
|
"loss": 0.1092, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.8486744116770927, |
|
"eval_f1": 0.38036267138434326, |
|
"eval_loss": 0.6379175186157227, |
|
"eval_precision": 0.37719298245614036, |
|
"eval_recall": 0.3835860838537021, |
|
"eval_runtime": 1.6777, |
|
"eval_samples_per_second": 540.623, |
|
"step": 1605 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.844972126473467, |
|
"eval_f1": 0.37866887143447703, |
|
"eval_loss": 0.7029163837432861, |
|
"eval_precision": 0.35285053929121724, |
|
"eval_recall": 0.4085637823371989, |
|
"eval_runtime": 1.6834, |
|
"eval_samples_per_second": 538.796, |
|
"step": 1926 |
|
}, |
|
{ |
|
"epoch": 6.23, |
|
"learning_rate": 1.8606111343658436e-05, |
|
"loss": 0.0527, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.8428869313587812, |
|
"eval_f1": 0.3695038321903994, |
|
"eval_loss": 0.7574378252029419, |
|
"eval_precision": 0.33726067746686306, |
|
"eval_recall": 0.4085637823371989, |
|
"eval_runtime": 1.7233, |
|
"eval_samples_per_second": 526.308, |
|
"step": 2247 |
|
}, |
|
{ |
|
"epoch": 7.79, |
|
"learning_rate": 8.141481791544579e-06, |
|
"loss": 0.0231, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.8464189965530448, |
|
"eval_f1": 0.379746835443038, |
|
"eval_loss": 0.876063346862793, |
|
"eval_precision": 0.3501506024096386, |
|
"eval_recall": 0.41480820695807313, |
|
"eval_runtime": 1.6869, |
|
"eval_samples_per_second": 537.678, |
|
"step": 2568 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.845057236478148, |
|
"eval_f1": 0.377831715210356, |
|
"eval_loss": 0.9406481981277466, |
|
"eval_precision": 0.3456698741672835, |
|
"eval_recall": 0.41659232827832293, |
|
"eval_runtime": 1.6868, |
|
"eval_samples_per_second": 537.715, |
|
"step": 2889 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"step": 2889, |
|
"total_flos": 2225293713920448.0, |
|
"train_runtime": 271.3259, |
|
"train_samples_per_second": 10.648 |
|
} |
|
], |
|
"max_steps": 2889, |
|
"num_train_epochs": 9, |
|
"total_flos": 2225293713920448.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|