|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 4.0, |
|
"eval_steps": 100, |
|
"global_step": 200, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 4.6000000000000004e-07, |
|
"loss": 1.7988, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 9.600000000000001e-07, |
|
"loss": 1.6021, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 1.5, |
|
"learning_rate": 1.46e-06, |
|
"loss": 1.3669, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 1.9600000000000003e-06, |
|
"loss": 1.2085, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 1.0991923809051514, |
|
"eval_runtime": 230.1115, |
|
"eval_samples_per_second": 1.738, |
|
"eval_steps_per_second": 0.109, |
|
"eval_wer": 1.0023889154323937, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"learning_rate": 2.46e-06, |
|
"loss": 0.984, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 2.96e-06, |
|
"loss": 0.7067, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 3.5, |
|
"learning_rate": 3.46e-06, |
|
"loss": 0.4651, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 3.96e-06, |
|
"loss": 0.3129, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 0.2795320451259613, |
|
"eval_runtime": 194.3318, |
|
"eval_samples_per_second": 2.058, |
|
"eval_steps_per_second": 0.129, |
|
"eval_wer": 0.8767319636884854, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"step": 200, |
|
"total_flos": 1.846946562048e+18, |
|
"train_loss": 1.0556322383880614, |
|
"train_runtime": 2067.8737, |
|
"train_samples_per_second": 3.095, |
|
"train_steps_per_second": 0.097 |
|
} |
|
], |
|
"logging_steps": 25, |
|
"max_steps": 200, |
|
"num_train_epochs": 4, |
|
"save_steps": 100, |
|
"total_flos": 1.846946562048e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|