learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 20000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
0.2176	2.2936	2000	0.3869	35.3627
0.0626	4.5872	4000	0.3000	33.6101
0.0162	6.8807	6000	0.2787	25.6114
0.0051	9.1743	8000	0.2578	22.8500
0.0049	11.4679	10000	0.2709	23.4563
0.0066	13.7615	12000	0.2631	21.4693
0.0252	16.0550	14000	0.3052	24.7504
0.0066	18.3486	16000	0.2895	23.9199
0.0062	20.6422	18000	0.2753	21.8514
0.0096	22.9358	20000	0.2678	21.1127

Eimhin03/MCV_Fleurs_Combined_Irish_ASR

MCV_Fleurs_Combined_Irish_ASR