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
0.9792	0.4488	500	1.0101	0.4996
0.7041	0.8977	1000	0.9352	0.4617
0.5032	1.3465	1500	0.9276	0.4443
0.4476	1.7953	2000	0.9268	0.4358
0.2871	2.2442	2500	0.9337	0.4326
0.2773	2.6930	3000	0.9462	0.4472
0.2105	3.1418	3500	0.9559	0.4416
0.1906	3.5907	4000	0.9647	0.4371
0.172	4.0395	4500	0.9694	0.4375
0.1635	4.4883	5000	0.9727	0.4378

Nereboss/WhisperTiny7.5hCommonVoice22.5hAugment

WhisperTiny7.5hCommonVoice22.5hAugment