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: 37
num_epochs: 3.0
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.6392	0.2913	37	0.6909	32.5863
0.585	0.5827	74	0.4459	21.5486
0.4699	0.8740	111	0.4107	19.9081
0.354	1.1654	148	0.3964	18.7942
0.3666	1.4567	185	0.3877	19.1432
0.4281	1.7480	222	0.3791	18.9251
0.4938	2.0394	259	0.3758	18.6064
0.2653	2.3307	296	0.3756	18.4789
0.3902	2.6220	333	0.3734	18.4286
0.3054	2.9134	370	0.3722	18.3749

greenw0lf/whisper-ecapa-caps-5h

whisper-ecapa-caps-5h