|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.7699115044247788, |
|
"eval_steps": 50, |
|
"global_step": 100, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.44, |
|
"grad_norm": 9.63073444366455, |
|
"learning_rate": 5e-06, |
|
"loss": 0.7305, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"grad_norm": 2.945356607437134, |
|
"learning_rate": 1e-05, |
|
"loss": 0.1912, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"eval_loss": 3.5328922271728516, |
|
"eval_runtime": 111.5535, |
|
"eval_samples_per_second": 0.887, |
|
"eval_steps_per_second": 0.063, |
|
"eval_wer": 1.2171099928109275, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"grad_norm": 2.5617167949676514, |
|
"learning_rate": 5e-06, |
|
"loss": 0.0998, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"grad_norm": 1.9796466827392578, |
|
"learning_rate": 0.0, |
|
"loss": 0.0828, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"eval_loss": 3.6638808250427246, |
|
"eval_runtime": 106.6363, |
|
"eval_samples_per_second": 0.928, |
|
"eval_steps_per_second": 0.066, |
|
"eval_wer": 1.216391085549964, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.77, |
|
"step": 100, |
|
"total_flos": 9.23473281024e+17, |
|
"train_loss": 0.2760725998878479, |
|
"train_runtime": 1580.9218, |
|
"train_samples_per_second": 2.024, |
|
"train_steps_per_second": 0.063 |
|
} |
|
], |
|
"logging_steps": 25, |
|
"max_steps": 100, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 2, |
|
"save_steps": 50, |
|
"total_flos": 9.23473281024e+17, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|