|
{ |
|
"best_metric": 58.31498729889923, |
|
"best_model_checkpoint": "./whisper-tiny-hi2_test/checkpoint-80", |
|
"epoch": 6.28125, |
|
"eval_steps": 40, |
|
"global_step": 201, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.625, |
|
"grad_norm": 8.544885635375977, |
|
"learning_rate": 3.75e-05, |
|
"loss": 1.8228, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"grad_norm": 6.32118558883667, |
|
"learning_rate": 3.75e-05, |
|
"loss": 0.6803, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"eval_loss": 0.6102083325386047, |
|
"eval_runtime": 542.5987, |
|
"eval_samples_per_second": 1.843, |
|
"eval_steps_per_second": 1.843, |
|
"eval_wer": 65.94411515664692, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 1.875, |
|
"grad_norm": 6.4600510597229, |
|
"learning_rate": 3.75e-05, |
|
"loss": 0.4966, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"grad_norm": 5.194849491119385, |
|
"learning_rate": 3.75e-05, |
|
"loss": 0.3649, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 2.5, |
|
"eval_loss": 0.5036975741386414, |
|
"eval_runtime": 540.6408, |
|
"eval_samples_per_second": 1.85, |
|
"eval_steps_per_second": 1.85, |
|
"eval_wer": 58.31498729889923, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 3.125, |
|
"grad_norm": 4.111001014709473, |
|
"learning_rate": 3.75e-05, |
|
"loss": 0.3075, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"grad_norm": 4.358007431030273, |
|
"learning_rate": 3.75e-05, |
|
"loss": 0.2296, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"eval_loss": 0.48966631293296814, |
|
"eval_runtime": 538.04, |
|
"eval_samples_per_second": 1.859, |
|
"eval_steps_per_second": 1.859, |
|
"eval_wer": 66.71464860287891, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 4.375, |
|
"grad_norm": 4.111566066741943, |
|
"learning_rate": 3.75e-05, |
|
"loss": 0.1811, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 6.702174186706543, |
|
"learning_rate": 3.75e-05, |
|
"loss": 0.1564, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_loss": 0.5130774974822998, |
|
"eval_runtime": 529.7879, |
|
"eval_samples_per_second": 1.888, |
|
"eval_steps_per_second": 1.888, |
|
"eval_wer": 65.34292972057578, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 5.625, |
|
"grad_norm": 3.0882856845855713, |
|
"learning_rate": 3.75e-05, |
|
"loss": 0.101, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"grad_norm": 4.524318695068359, |
|
"learning_rate": 3.75e-05, |
|
"loss": 0.0905, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"eval_loss": 0.5503659248352051, |
|
"eval_runtime": 587.5545, |
|
"eval_samples_per_second": 1.702, |
|
"eval_steps_per_second": 1.702, |
|
"eval_wer": 63.903471634208294, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"step": 200, |
|
"total_flos": 1.5401574531072e+17, |
|
"train_loss": 0.44307032763957976, |
|
"train_runtime": 3561.8571, |
|
"train_samples_per_second": 1.797, |
|
"train_steps_per_second": 0.056 |
|
}, |
|
{ |
|
"epoch": 6.28125, |
|
"step": 201, |
|
"total_flos": 1.5480354963456e+17, |
|
"train_loss": 0.04041733433358112, |
|
"train_runtime": 8.5506, |
|
"train_samples_per_second": 748.49, |
|
"train_steps_per_second": 23.39 |
|
}, |
|
{ |
|
"epoch": 6.28125, |
|
"eval_loss": 0.5036975741386414, |
|
"eval_runtime": 613.1737, |
|
"eval_samples_per_second": 1.631, |
|
"eval_steps_per_second": 1.631, |
|
"eval_wer": 58.31498729889923, |
|
"step": 201 |
|
} |
|
], |
|
"logging_steps": 20, |
|
"max_steps": 200, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 7, |
|
"save_steps": 40, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.5480354963456e+17, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|