learning_rate: 0.0004
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 132
num_epochs: 17
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	88	0.3229	37.8910
0.9213	2.0	176	0.0773	21.7158
0.135	3.0	264	0.0585	26.5416
0.0547	4.0	352	0.0728	177.7480
0.0453	5.0	440	0.0574	18.0518
0.0237	6.0	528	0.0531	15.0134
0.0147	7.0	616	0.0271	6.6130
0.0106	8.0	704	0.0362	7.2386
0.0106	9.0	792	0.0491	8.9366
0.0063	10.0	880	0.0327	8.1323
0.0036	11.0	968	0.0352	7.3280
0.0009	12.0	1056	0.0695	11.4388
0.0023	13.0	1144	0.0338	10.2770
0.0001	14.0	1232	0.0374	10.2770
0.0	15.0	1320	0.0335	9.5621
0.0	16.0	1408	0.0335	9.5621
0.0	17.0	1496	0.0335	9.5621

susmitabhatt/whisper-a-nomi-17

whisper-a-nomi-17