learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use 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: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer
9.2478	0.8117	500	4.3917	0.9903
8.0651	1.6234	1000	4.0166	0.9903
2.7888	2.4351	1500	1.0882	0.2423
2.7409	3.2468	2000	0.7290	0.1821
1.6139	4.0584	2500	0.6303	0.1644
1.6685	4.8701	3000	0.5868	0.1561
1.4885	5.6818	3500	0.5589	0.1505
1.8946	6.4935	4000	0.5399	0.1470
1.3098	7.3052	4500	0.5269	0.1431
1.2762	8.1169	5000	0.5158	0.1409
1.2075	8.9286	5500	0.5122	0.1402
1.5473	9.7403	6000	0.5074	0.1392

PlayMaker13/wav2vec2-large-xslr-commonvoice_jsut_split

wav2vec2-large-xslr-commonvoice_jsut_split