learning_rate: 3e-06
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
4.3494	1.2675	100	1.0599	100.3706	62.1956
2.6315	2.5350	200	0.6637	85.7937	38.9817
1.9725	3.8025	300	0.5386	81.7789	34.8863
1.4710	5.0637	400	0.4409	79.6788	33.5581
1.0820	6.3312	500	0.3666	78.0729	32.9946
0.9373	7.5987	600	0.3586	77.0229	31.8273
0.8190	8.8662	700	0.3547	77.3935	31.3745

Turiya33333/whisper-small-bengali-5DB-3e6

whisper-small-bengali-5DB-3e6