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
0.7384	0.4405	500	0.9908	0.4775
0.6275	0.8811	1000	0.8960	0.4447
0.4919	1.3216	1500	0.8604	0.4225
0.4913	1.7621	2000	0.8450	0.4177
0.3667	2.2026	2500	0.8273	0.4090
0.3462	2.6432	3000	0.8362	0.4095
0.3239	3.0837	3500	0.8199	0.4061
0.3169	3.5242	4000	0.8202	0.4023
0.3123	3.9648	4500	0.8112	0.3996
0.2951	4.4053	5000	0.8173	0.4007

Nereboss/WhisperTiny30hCommonVoice0.0Augment

WhisperTiny30hCommonVoice0.0Augment