learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
training_steps: 9561

Training Loss	Epoch	Step	Validation Loss	Wer
0.4855	0.1569	500	0.2505	38.5710
0.4346	0.3137	1000	0.2208	36.7999
0.4528	0.4706	1500	0.2007	35.6797
0.3820	0.6275	2000	0.1894	34.6957
0.3747	0.7843	2500	0.1786	33.3182
0.3331	0.9412	3000	0.1733	33.6966
0.2780	1.0979	3500	0.1658	32.0315
0.2758	1.2547	4000	0.1600	31.1384
0.2751	1.4116	4500	0.1539	30.3512
0.2285	1.5685	5000	0.1509	30.3512
0.2350	1.7253	5500	0.1459	29.9728
0.2569	1.8822	6000	0.1423	29.4127
0.1783	2.0389	6500	0.1409	29.3975
0.1779	2.1958	7000	0.1396	28.9585
0.1907	2.3526	7500	0.1366	28.9585
0.1698	2.5095	8000	0.1366	28.5801
0.2104	2.6664	8500	0.1352	28.6709
0.1524	2.8232	9000	0.1348	28.4741
0.1733	2.9801	9500	0.1349	28.4741
0.1626	2.9992	9561	0.1349	28.5195

tivanai2020/whisper-large-v3-turbo-persian-farsi-unified-cleaned

whisper-large-v3-turbo-persian-farsi-unified-cleaned