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
3.4802	9.4340	500	3.1137	1.0	1.0
3.1014	18.8679	1000	3.0469	1.0	0.9728
2.8395	28.3019	1500	2.8242	1.0	0.9294
1.5689	37.7358	2000	1.4629	0.9794	0.3963
1.1207	47.1698	2500	1.2411	0.8675	0.2998
0.8992	56.6038	3000	1.1613	0.8182	0.2711
0.778	66.0377	3500	1.1761	0.7781	0.2538
0.7099	75.4717	4000	1.1679	0.7575	0.2434
0.6326	84.9057	4500	1.1645	0.7397	0.2388
0.6276	94.3396	5000	1.1687	0.7345	0.2340

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

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