learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 500
training_steps: 5000

Training Loss	Epoch	Step	Validation Loss	Wer
0.8389	0.6693	500	1.0265	0.4802
0.6459	1.3387	1000	0.9529	0.4519
0.5606	2.0080	1500	0.9114	0.4389
0.4697	2.6774	2000	0.9071	0.4558
0.3579	3.3467	2500	0.8838	0.4251
0.349	4.0161	3000	0.8878	0.4238
0.2861	4.6854	3500	0.8860	0.4266
0.2444	5.3548	4000	0.8892	0.4266
0.2397	6.0241	4500	0.8875	0.4237
0.0	6.6934	5000	nan	1.0

Nereboss/WhisperTiny15hCommonVoice5hAugment

WhisperTiny15hCommonVoice5hAugment