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
0.8335	0.4437	500	1.0273	0.5001
0.7144	0.8873	1000	0.9420	0.4956
0.582	1.3310	1500	0.9039	0.4563
0.5557	1.7746	2000	0.8743	0.4367
0.4823	2.2183	2500	0.8723	0.4329
0.4365	2.6619	3000	0.8576	0.4279
0.3805	3.1056	3500	0.8581	0.4205
0.3766	3.5492	4000	0.8519	0.4253
0.368	3.9929	4500	0.8507	0.4171
0.3373	4.4366	5000	0.8516	0.4159

Nereboss/WhisperTiny22.5hCommonVoice7.5hAugment

WhisperTiny22.5hCommonVoice7.5hAugment