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
0.9831	1.0	104	0.2031	33.0247
0.3134	2.0	208	0.1138	87.1142
0.0638	3.0	312	0.0907	27.4691
0.0503	4.0	416	0.0745	26.4660
0.0592	5.0	520	0.0361	25.3858
0.0329	6.0	624	0.0674	27.7006
0.0276	7.0	728	0.0524	47.0679
0.0322	8.0	832	0.0321	12.5
0.015	9.0	936	0.0357	13.6574
0.0117	10.0	1040	0.0335	10.3395
0.0075	11.0	1144	0.0387	12.1914
0.0085	12.0	1248	0.0306	9.8765
0.0056	13.0	1352	0.0311	9.0278
0.0031	14.0	1456	0.0274	8.9506
0.0038	15.0	1560	0.0288	9.7222
0.0024	16.0	1664	0.0288	9.4136
0.0013	16.8406	1751	0.0292	9.7222

susmitabhatt/whisper-a-nomimo-17

whisper-a-nomimo-17