learning_rate: 7e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 5000
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.4805	9.4340	500	3.1125	1.0	1.0
3.1017	18.8679	1000	3.0463	1.0	0.9730
2.6213	28.3019	1500	2.4272	0.9977	0.9193
1.4304	37.7358	2000	1.3779	0.9318	0.3589
1.0405	47.1698	2500	1.1727	0.8372	0.2810
0.8323	56.6038	3000	1.1413	0.7856	0.2583
0.7212	66.0377	3500	1.1413	0.7477	0.2396
0.6859	75.4717	4000	1.1581	0.7305	0.2366
0.5964	84.9057	4500	1.1539	0.7150	0.2300
0.5858	94.3396	5000	1.1536	0.7122	0.2265

Rateddany/wav2vec2-xls-r-300m-kab-1hour

wav2vec2-xls-r-300m-kab-1hour