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
1.5657	0.0158	50	1.3639	59.8234
0.8758	0.0317	100	0.7776	50.0967
0.4615	0.0475	150	0.4275	47.9791
0.4872	0.0633	200	0.3920	44.7281
0.3992	0.0792	250	0.3864	46.0241
0.3770	0.0950	300	0.3627	41.5737
0.3336	0.1108	350	0.3476	41.8329
0.3481	0.1267	400	0.3347	38.9157
0.3058	0.1425	450	0.3315	38.9553
0.3360	0.1583	500	0.3223	38.2963

dianavdavidson/wh_med_iv_30_70_flattened_indic_voices_52553__val_finetune_trial

wh_med_iv_30_70_flattened_indic_voices_52553__val_finetune_trial