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
0.9492	0.4464	500	1.0368	0.4824
0.7759	0.8929	1000	0.9355	0.4505
0.6086	1.3393	1500	0.8993	0.4374
0.5636	1.7857	2000	0.8855	0.4282
0.4343	2.2321	2500	0.8726	0.4342
0.4228	2.6786	3000	0.8714	0.4204
0.3585	3.125	3500	0.8591	0.4194
0.3302	3.5714	4000	0.8674	0.4179
0.3235	4.0179	4500	0.8640	0.4186
0.3032	4.4643	5000	0.8652	0.4183

Nereboss/WhisperTiny15hCommonVoice15hAugment

WhisperTiny15hCommonVoice15hAugment