learning_rate: 5e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500

Training Loss	Epoch	Step	Validation Loss	Global Wer
1.6435	0.0158	50	1.2315	85.5241
0.9533	0.0317	100	0.9746	66.8702
0.8989	0.0475	150	0.8648	62.4506
0.8826	0.0633	200	0.7588	60.7987
0.7247	0.0792	250	0.6702	62.4462
0.6214	0.0950	300	0.5726	54.9996
0.4723	0.1108	350	0.4893	53.6069
0.4424	0.1267	400	0.4545	50.6854
0.4292	0.1425	450	0.4438	49.7672
0.4408	0.1583	500	0.4306	48.3218

dianavdavidson/wh_small_iv_30_70_indic_voices_52505__val_finetune_trial

wh_small_iv_30_70_indic_voices_52505__val_finetune_trial