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: 16
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.9727	1.0	104	0.1997	47.0679
0.231	2.0	208	0.0566	178.1636
0.2066	3.0	312	0.2833	91.6667
0.2809	4.0	416	0.2589	91.9753
0.2872	5.0	520	0.2672	88.8889
0.2384	6.0	624	0.2239	110.1080
0.202	7.0	728	0.1959	79.7840
0.1828	8.0	832	0.1883	78.3951
0.1775	9.0	936	0.1908	79.1667
0.1496	10.0	1040	0.2103	87.8858
0.1162	11.0	1144	0.1416	54.3981
0.0674	12.0	1248	0.0975	61.5741
0.0449	13.0	1352	0.0775	36.4969
0.026	14.0	1456	0.0706	23.6883
0.0197	15.0	1560	0.0873	26.6204
0.0119	15.8502	1648	0.0862	25.1543

susmitabhatt/whisper-a-nomimo-16

whisper-a-nomimo-16