learning_rate: 0.001
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 10
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
11.4878	1.0	8	8.4533	1.1349
3.9624	2.0	16	3.2419	1.0
3.2684	3.0	24	3.3585	1.0
3.0743	4.0	32	3.0732	1.0
2.9870	5.0	40	3.0299	1.0
2.9748	6.0	48	3.0363	1.0
2.9038	7.0	56	2.9640	1.0
2.8971	8.0	64	3.0227	1.0
2.8477	9.0	72	2.9351	1.0
2.8047	10.0	80	2.9484	1.0
2.7527	11.0	88	2.9021	1.0
2.7464	12.0	96	2.8756	1.0
2.7275	13.0	104	2.8562	1.0
2.6882	14.0	112	2.8740	1.0
2.7034	15.0	120	2.8558	1.0

aldiiii-mln/wav2vec2-mms-bugis-authentic-only

wav2vec2-mms-bugis-authentic-only