learning_rate: 3e-06
train_batch_size: 8
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: 1000
training_steps: 20000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.2701	6.7797	2000	0.2583	28.8462
0.2499	13.5593	4000	0.2446	27.6552
0.2309	20.3390	6000	0.2397	27.1769
0.2379	27.1186	8000	0.2364	26.8059
0.2215	33.8983	10000	0.2343	26.4252
0.226	40.6780	12000	0.2322	26.5228
0.2201	47.4576	14000	0.2314	25.9274
0.2263	54.2373	16000	0.2308	26.4740
0.2154	61.0169	18000	0.2307	26.3862
0.2357	67.7966	20000	0.2303	26.1421

khushi1234455687/whisper-large-v3-turbo-Hindi-Version1

whisper-large-v3-turbo-Hindi-Version1