learning_rate: 0.001
train_batch_size: 8
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: 50
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
4.7478	1.0	41	4.5729	1.0
3.3476	2.0	82	2.9451	1.0
1.0053	3.0	123	0.8956	0.6848
0.6516	4.0	164	0.7000	0.5672
0.5947	5.0	205	0.6306	0.5434
0.5120	6.0	246	0.5929	0.4944
0.4544	7.0	287	0.6089	0.4778
0.4740	8.0	328	0.5729	0.4672
0.4074	9.0	369	0.5674	0.4667
0.4247	10.0	410	0.5748	0.4646
0.4036	11.0	451	0.5519	0.4444
0.3406	12.0	492	0.5638	0.4364
0.4277	13.0	533	0.5573	0.4414
0.3966	14.0	574	0.5556	0.4348
0.3747	15.0	615	0.5551	0.4379

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

wav2vec2-mms-bugis-synthetic-only