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
0.7979	0.0945	50	0.6584	50.9683
0.5752	0.1890	100	0.5427	47.1508
0.4703	0.2836	150	0.4826	40.8939
0.4566	0.3781	200	0.4492	39.4972
0.4171	0.4726	250	0.4190	37.4488
0.3705	0.5671	300	0.3932	37.4115
0.3435	0.6616	350	0.3637	34.8417
0.3216	0.7561	400	0.3474	34.4879
0.3001	0.8507	450	0.3243	34.0410
0.2756	0.9452	500	0.3070	33.4264

dianavdavidson/wh_small_fleurs_fleurs_52392__val_finetune_trial

wh_small_fleurs_fleurs_52392__val_finetune_trial