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
0.9934	0.0104	50	0.8156	89.6916
0.3436	0.0208	100	0.3765	75.6605
0.3753	0.0313	150	0.3502	78.9494
0.2859	0.0417	200	0.3442	89.8730
0.2965	0.0521	250	0.3332	58.6955
0.2918	0.0625	300	0.3238	63.8694
0.3131	0.0729	350	0.3208	115.0958
0.2599	0.0834	400	0.3025	68.4912
0.2588	0.0938	450	0.2995	65.1708
0.2078	0.1042	500	0.2951	56.6685

dianavdavidson/wh_l_v3_mucs_no_lg_id_mucs_52041_trial

wh_l_v3_mucs_no_lg_id_mucs_52041_trial