learning_rate: 0.0001
train_batch_size: 48
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 31
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.2375	0.1923	20	1.1974	42.7851
0.7003	0.3846	40	0.7079	30.0261
0.6208	0.5769	60	0.5518	18.9378
0.5236	0.7692	80	0.5104	19.2178
0.4852	0.9615	100	0.4886	16.4831
0.4676	1.1538	120	0.4769	16.4551
0.4476	1.3462	140	0.4667	16.1098
0.4334	1.5385	160	0.4609	16.3524
0.4631	1.7308	180	0.4544	15.9511
0.4093	1.9231	200	0.4510	15.8484
0.3428	2.1154	220	0.4483	15.9978
0.384	2.3077	240	0.4457	16.1471
0.3843	2.5	260	0.4446	16.1191
0.4132	2.6923	280	0.4446	15.9978
0.4186	2.8846	300	0.4437	16.0258

greenw0lf/whisper-nonnat-10h-caps-ecapa

whisper-nonnat-10h-caps-ecapa