learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 32
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: 400
training_steps: 2000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.203	0.1934	200	0.2464	18.6343
0.1693	0.3868	400	0.1949	16.0868
0.1707	0.5803	600	0.1646	14.3649
0.1378	0.7737	800	0.1427	12.8907
0.1194	0.9671	1000	0.1303	11.5698
0.087	1.1605	1200	0.1195	11.1216
0.0824	1.3540	1400	0.1140	10.3550
0.0795	1.5474	1600	0.1083	9.7417
0.0787	1.7408	1800	0.1056	9.5648
0.0781	1.9342	2000	0.1039	9.5294

constantinedivis/whisper-small-ru-v7la

whisper-small-ru-v7la