|
{ |
|
"best_metric": 43.7772397094431, |
|
"best_model_checkpoint": "./whisper-tiny-fluers_V1_telugu/checkpoint-600", |
|
"epoch": 1.0526315789473684, |
|
"global_step": 600, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 6.599999999999999e-06, |
|
"loss": 2.4084, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 1.4099999999999999e-05, |
|
"loss": 1.2871, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 2.1599999999999996e-05, |
|
"loss": 0.9649, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.18, |
|
"learning_rate": 2.91e-05, |
|
"loss": 0.8213, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 3.6599999999999995e-05, |
|
"loss": 0.7121, |
|
"step": 125 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 4.4099999999999995e-05, |
|
"loss": 0.6566, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"learning_rate": 5.1599999999999994e-05, |
|
"loss": 0.5742, |
|
"step": 175 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 5.91e-05, |
|
"loss": 0.5489, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 6.659999999999999e-05, |
|
"loss": 0.5419, |
|
"step": 225 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 7.41e-05, |
|
"loss": 0.5051, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 8.16e-05, |
|
"loss": 0.5329, |
|
"step": 275 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 8.909999999999998e-05, |
|
"loss": 0.4843, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"eval_loss": 0.5140310525894165, |
|
"eval_runtime": 38.9449, |
|
"eval_samples_per_second": 2.568, |
|
"eval_steps_per_second": 0.334, |
|
"eval_wer": 134.91525423728814, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 9.659999999999999e-05, |
|
"loss": 0.5003, |
|
"step": 325 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"learning_rate": 0.00010409999999999998, |
|
"loss": 0.4953, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.00011159999999999999, |
|
"loss": 0.4371, |
|
"step": 375 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"learning_rate": 0.0001191, |
|
"loss": 0.4768, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.0001266, |
|
"loss": 0.4864, |
|
"step": 425 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 0.00013409999999999998, |
|
"loss": 0.4793, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 0.83, |
|
"learning_rate": 0.00014159999999999997, |
|
"loss": 0.4825, |
|
"step": 475 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"learning_rate": 0.0001491, |
|
"loss": 0.4634, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 0.00014868, |
|
"loss": 0.4516, |
|
"step": 525 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.00014717999999999998, |
|
"loss": 0.4746, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.00014567999999999997, |
|
"loss": 0.4237, |
|
"step": 575 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.00014418, |
|
"loss": 0.3818, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"eval_loss": 0.5053495168685913, |
|
"eval_runtime": 28.9662, |
|
"eval_samples_per_second": 3.452, |
|
"eval_steps_per_second": 0.449, |
|
"eval_wer": 43.7772397094431, |
|
"step": 600 |
|
} |
|
], |
|
"max_steps": 3000, |
|
"num_train_epochs": 6, |
|
"total_flos": 2.3629205938176e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|