learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use 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: 200
training_steps: 1300
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.4964	0.2222	100	0.4513	18.4622
0.4607	0.4444	200	0.4251	18.1479
0.4223	0.6667	300	0.4054	17.3732
0.4186	0.8889	400	0.3998	17.2562
0.2411	1.1111	500	0.3978	16.8616
0.2425	1.3333	600	0.3946	16.8396
0.2194	1.5556	700	0.3926	14.8882
0.238	1.7778	800	0.3905	16.5034
0.2323	2.0	900	0.3904	15.2755
0.1294	2.2222	1000	0.4076	15.0709
0.1139	2.4444	1100	0.4080	15.3706
0.1108	2.6667	1200	0.4102	15.1732
0.1197	2.8889	1300	0.4093	15.2829

datdo2717/whisper-small-en-23-11

Whisper Small Ori vi