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
0.9699	0.9662	100	0.1287	46.6821
0.1644	1.9275	200	0.1624	445.0617
0.236	2.8889	300	0.0895	23.1481
0.0518	3.8502	400	0.0479	18.4414
0.0321	4.8116	500	0.0426	14.8148
0.03	5.7729	600	0.0482	19.4444
0.0218	6.7343	700	0.0325	11.6512
0.0143	7.6957	800	0.0439	15.2778
0.0147	8.6570	900	0.0339	11.9599
0.0104	9.6184	1000	0.0391	14.5833
0.0079	10.5797	1100	0.0338	33.9506
0.0054	11.5411	1200	0.0293	20.4475
0.0032	12.5024	1300	0.0357	14.3519
0.002	13.4638	1400	0.0327	18.0556
0.0023	14.4251	1500	0.0351	22.9167

susmitabhatt/whisper-a-nomimo

whisper-a-nomimo