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
1.5540	0.0133	50	1.0859	55.1433
1.0086	0.0266	100	0.8461	52.3995
0.9141	0.0399	150	0.7470	45.6799
0.7475	0.0531	200	0.6591	60.1264
0.5349	0.0664	250	0.5893	44.6889
0.5338	0.0797	300	0.5298	44.7005
0.4313	0.0930	350	0.4720	44.8404
0.4111	0.1063	400	0.4396	45.6978
0.3785	0.1196	450	0.4267	42.0547
0.3950	0.1329	500	0.4102	40.1558

dianavdavidson/wh_small_mucs_30_70_mucs_52508__val_finetune_trial

wh_small_mucs_30_70_mucs_52508__val_finetune_trial