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: 33
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.5691	0.1786	20	1.2283	43.1305
0.8414	0.3571	40	0.7711	37.1477
0.5682	0.5357	60	0.5955	23.0259
0.5098	0.7143	80	0.5524	22.0739
0.5041	0.8929	100	0.5308	21.4579
0.4652	1.0714	120	0.5244	21.4392
0.4859	1.25	140	0.5118	19.6005
0.4134	1.4286	160	0.5034	18.9005
0.4463	1.6071	180	0.4985	19.3765
0.4765	1.7857	200	0.4949	19.1618
0.4172	1.9643	220	0.4932	19.1152
0.4153	2.1429	240	0.4898	18.9845
0.3724	2.3214	260	0.4870	18.9472
0.3816	2.5	280	0.4864	18.9285
0.3774	2.6786	300	0.4863	18.5832
0.4293	2.8571	320	0.4865	18.5738

greenw0lf/whisper-nonnat-5h-mmr-ecapa

whisper-nonnat-5h-mmr-ecapa