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
0.9553	0.4492	500	1.0205	0.4894
0.7923	0.8985	1000	0.9367	0.4628
0.5788	1.3477	1500	0.9254	0.4439
0.5308	1.7969	2000	0.9195	0.4464
0.4003	2.2462	2500	0.9081	0.4373
0.3703	2.6954	3000	0.9046	0.4275
0.2858	3.1447	3500	0.9070	0.4381
0.2963	3.5939	4000	0.9081	0.4346
0.2686	4.0431	4500	0.9119	0.4346
0.2597	4.4924	5000	0.9134	0.4361

Nereboss/WhisperTiny10hCommonVoice20hAugment

WhisperTiny10hCommonVoice20hAugment