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: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	88	0.2007	80.2502
0.9112	2.0	176	2.4319	100.0
2.8333	3.0	264	0.0985	34.4951
0.1561	4.0	352	0.0809	36.6399
0.0444	5.0	440	0.0607	30.4736
0.0244	6.0	528	0.0363	28.5076
0.0121	7.0	616	0.0430	24.8436
0.009	8.0	704	0.0398	31.0992
0.009	9.0	792	0.0360	198.9276
0.0084	10.0	880	0.0401	201.4298
0.0028	11.0	968	0.0278	196.2466
0.0	12.0	1056	0.0279	196.1573
0.0	13.0	1144	0.0280	196.1573
0.0	14.0	1232	0.0280	196.1573
0.0	15.0	1320	0.0280	196.1573

susmitabhatt/whisper-a-nomi-15

whisper-a-nomi-15