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: 62
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.9171	0.2967	62	0.7342	44.3497
0.377	0.5933	124	0.6011	41.0902
0.3449	0.8900	186	0.5843	42.5420
0.315	1.1866	248	0.5710	39.1186
0.2988	1.4833	310	0.5689	45.5393
0.2893	1.7799	372	0.5588	37.1330
0.2607	2.0766	434	0.5569	36.0230
0.2532	2.3732	496	0.5575	35.7046
0.2599	2.6699	558	0.5543	34.4776
0.2716	2.9665	620	0.5545	35.1051

greenw0lf/whisper-new-nnat-5h-mmr-ecapa

whisper-new-nnat-5h-mmr-ecapa