|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 5.0, |
|
"global_step": 10, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 7.5e-05, |
|
"loss": 22.283, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"eval_loss": 38.53455352783203, |
|
"eval_runtime": 5.6686, |
|
"eval_samples_per_second": 22.581, |
|
"eval_steps_per_second": 0.353, |
|
"eval_wer": 1.0, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 7.5e-05, |
|
"loss": 22.622, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 38.53455352783203, |
|
"eval_runtime": 5.4852, |
|
"eval_samples_per_second": 23.336, |
|
"eval_steps_per_second": 0.365, |
|
"eval_wer": 1.0, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 6.75e-05, |
|
"loss": 23.0656, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"eval_loss": 37.73825454711914, |
|
"eval_runtime": 5.4328, |
|
"eval_samples_per_second": 23.561, |
|
"eval_steps_per_second": 0.368, |
|
"eval_wer": 1.0, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 6.75e-05, |
|
"loss": 20.8353, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 37.73825454711914, |
|
"eval_runtime": 5.7103, |
|
"eval_samples_per_second": 22.416, |
|
"eval_steps_per_second": 0.35, |
|
"eval_wer": 1.0, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"learning_rate": 5.9999999999999995e-05, |
|
"loss": 21.4977, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"eval_loss": 36.794700622558594, |
|
"eval_runtime": 5.4096, |
|
"eval_samples_per_second": 23.661, |
|
"eval_steps_per_second": 0.37, |
|
"eval_wer": 1.0, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 5.2499999999999995e-05, |
|
"loss": 20.1685, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 35.34020233154297, |
|
"eval_runtime": 5.6574, |
|
"eval_samples_per_second": 22.625, |
|
"eval_steps_per_second": 0.354, |
|
"eval_wer": 1.0, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"learning_rate": 4.4999999999999996e-05, |
|
"loss": 19.3566, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"eval_loss": 33.572959899902344, |
|
"eval_runtime": 5.6556, |
|
"eval_samples_per_second": 22.632, |
|
"eval_steps_per_second": 0.354, |
|
"eval_wer": 1.0, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 3.75e-05, |
|
"loss": 15.8992, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 30.588499069213867, |
|
"eval_runtime": 5.3488, |
|
"eval_samples_per_second": 23.93, |
|
"eval_steps_per_second": 0.374, |
|
"eval_wer": 1.0, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"learning_rate": 2.9999999999999997e-05, |
|
"loss": 15.0607, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 4.5, |
|
"eval_loss": 27.82217788696289, |
|
"eval_runtime": 5.6203, |
|
"eval_samples_per_second": 22.774, |
|
"eval_steps_per_second": 0.356, |
|
"eval_wer": 1.0, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"learning_rate": 2.2499999999999998e-05, |
|
"loss": 14.8305, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_loss": 25.9698429107666, |
|
"eval_runtime": 5.6638, |
|
"eval_samples_per_second": 22.599, |
|
"eval_steps_per_second": 0.353, |
|
"eval_wer": 1.0, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"step": 10, |
|
"total_flos": 1.3476444758728704e+17, |
|
"train_loss": 19.56191415786743, |
|
"train_runtime": 92.9692, |
|
"train_samples_per_second": 6.884, |
|
"train_steps_per_second": 0.108 |
|
} |
|
], |
|
"max_steps": 10, |
|
"num_train_epochs": 5, |
|
"total_flos": 1.3476444758728704e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|