|
{ |
|
"best_metric": 0.7198385688576876, |
|
"best_model_checkpoint": "whisper-tiny-luganda-v2/checkpoint-1000", |
|
"epoch": 0.3262997607135088, |
|
"eval_steps": 500, |
|
"global_step": 1500, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.021753317380900587, |
|
"grad_norm": 47.60859680175781, |
|
"learning_rate": 4.5238095238095235e-06, |
|
"loss": 9.6365, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.04350663476180117, |
|
"grad_norm": 41.293460845947266, |
|
"learning_rate": 9.285714285714286e-06, |
|
"loss": 4.282, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.06525995214270176, |
|
"grad_norm": 29.167564392089844, |
|
"learning_rate": 1.4047619047619048e-05, |
|
"loss": 2.8974, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.08701326952360235, |
|
"grad_norm": 30.911415100097656, |
|
"learning_rate": 1.880952380952381e-05, |
|
"loss": 2.2716, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.10876658690450294, |
|
"grad_norm": 25.824464797973633, |
|
"learning_rate": 2.357142857142857e-05, |
|
"loss": 2.0498, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.10876658690450294, |
|
"eval_loss": 0.9947264194488525, |
|
"eval_runtime": 2111.5938, |
|
"eval_samples_per_second": 6.458, |
|
"eval_steps_per_second": 1.615, |
|
"eval_wer": 0.8350676193361011, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.13051990428540353, |
|
"grad_norm": 22.513357162475586, |
|
"learning_rate": 2.8333333333333335e-05, |
|
"loss": 1.8357, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.1522732216663041, |
|
"grad_norm": 22.64017105102539, |
|
"learning_rate": 3.309523809523809e-05, |
|
"loss": 1.7019, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.1740265390472047, |
|
"grad_norm": 22.659271240234375, |
|
"learning_rate": 3.785714285714286e-05, |
|
"loss": 1.6458, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.19577985642810528, |
|
"grad_norm": 19.53955841064453, |
|
"learning_rate": 4.261904761904762e-05, |
|
"loss": 1.6001, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.2175331738090059, |
|
"grad_norm": 21.89055061340332, |
|
"learning_rate": 4.738095238095238e-05, |
|
"loss": 1.5134, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.2175331738090059, |
|
"eval_loss": 0.7854410409927368, |
|
"eval_runtime": 2131.7562, |
|
"eval_samples_per_second": 6.397, |
|
"eval_steps_per_second": 1.6, |
|
"eval_wer": 0.7198385688576876, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.23928649118990647, |
|
"grad_norm": 24.862058639526367, |
|
"learning_rate": 4.988721804511278e-05, |
|
"loss": 1.421, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.26103980857080705, |
|
"grad_norm": 18.665178298950195, |
|
"learning_rate": 4.963659147869674e-05, |
|
"loss": 1.4254, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.28279312595170764, |
|
"grad_norm": 16.429445266723633, |
|
"learning_rate": 4.93859649122807e-05, |
|
"loss": 1.3466, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.3045464433326082, |
|
"grad_norm": 24.4464054107666, |
|
"learning_rate": 4.913533834586466e-05, |
|
"loss": 1.3342, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.3262997607135088, |
|
"grad_norm": 14.964367866516113, |
|
"learning_rate": 4.888471177944862e-05, |
|
"loss": 1.2494, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.3262997607135088, |
|
"eval_loss": 0.6914966106414795, |
|
"eval_runtime": 2154.6429, |
|
"eval_samples_per_second": 6.329, |
|
"eval_steps_per_second": 1.583, |
|
"eval_wer": 0.7817383247509934, |
|
"step": 1500 |
|
} |
|
], |
|
"logging_steps": 100, |
|
"max_steps": 21000, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 5.9085324288e+17, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|