learning_rate: 1e-05
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	Cer	Validation Loss	Wer
2.9880	1.2675	100	47.1725	0.7525	93.3292
1.3953	2.5350	200	37.4019	0.4301	83.2613
0.9869	3.8025	300	34.8762	0.3891	80.0494
0.5308	5.0637	400	34.7857	0.4148	78.7523
0.3279	6.3312	500	33.9505	0.4685	78.1347
0.1994	7.5987	600	34.8360	0.5106	78.6905
0.1139	8.8662	700	34.8762	0.5518	77.7023

TurjoDutta5555/whisper-small-0DB

whisper-small-0DB