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
1.0258	0.2233	500	1.0545	0.4943
0.8828	0.4466	1000	0.9798	0.4687
0.8023	0.6699	1500	0.9388	0.4608
0.714	0.8933	2000	0.9110	0.4420
0.5927	1.1166	2500	0.8940	0.4363
0.5974	1.3399	3000	0.8872	0.4352
0.5459	1.5632	3500	0.8764	0.4319
0.5245	1.7865	4000	0.8765	0.4279
0.5325	2.0098	4500	0.8709	0.4280
0.479	2.2331	5000	0.8665	0.4280

Nereboss/WhisperTiny15hCommonVoice45hAugment

WhisperTiny15hCommonVoice45hAugment