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
0.5990	0.0945	50	0.5550	36.9088
0.4468	0.1890	100	0.3957	33.1099
0.2551	0.2836	150	0.2852	29.5903
0.2599	0.3781	200	0.2739	29.1248
0.2369	0.4726	250	0.2602	26.8901
0.2156	0.5671	300	0.2505	26.2197
0.2195	0.6616	350	0.2369	25.1397
0.2015	0.7561	400	0.2354	24.7486
0.1834	0.8507	450	0.2261	24.2086
0.1927	0.9452	500	0.2269	24.2644

dianavdavidson/wh_med_fleurs_fleurs_52376__val_finetune_trial

wh_med_fleurs_fleurs_52376__val_finetune_trial