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
0.8867	0.4444	500	1.0354	0.4892
0.7794	0.8889	1000	0.9536	0.4646
0.6075	1.3333	1500	0.9055	0.4392
0.5813	1.7778	2000	0.8904	0.4338
0.4598	2.2222	2500	0.8724	0.4262
0.4365	2.6667	3000	0.8647	0.4259
0.3813	3.1111	3500	0.8568	0.4188
0.3842	3.5556	4000	0.8605	0.4251
0.3735	4.0	4500	0.8560	0.4221
0.3411	4.4444	5000	0.8526	0.4173

Nereboss/WhisperTiny20hCommonVoice10hAugment

WhisperTiny20hCommonVoice10hAugment