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: 18
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.0616	1.0	104	0.2173	30.0926
0.14	2.0	208	0.0770	18.5957
0.0714	3.0	312	0.0723	19.6759
0.0513	4.0	416	0.0671	20.5247
0.0381	5.0	520	0.0415	17.9012
0.0468	6.0	624	0.0463	22.3765
0.0352	7.0	728	0.1139	42.5154
0.0195	8.0	832	0.0457	148.7654
0.0185	9.0	936	0.0430	172.6852
0.0129	10.0	1040	0.0312	154.8611
0.0106	11.0	1144	0.0405	145.5247
0.0084	12.0	1248	0.0325	154.9383
0.0058	13.0	1352	0.0320	152.0062
0.0039	14.0	1456	0.0263	144.5216
0.0044	15.0	1560	0.0270	148.3796
0.0028	16.0	1664	0.0285	148.6883
0.0015	17.0	1768	0.0285	147.3765
0.002	17.8309	1854	0.0290	143.6728

susmitabhatt/whisper-a-nomimo-18

whisper-a-nomimo-18