learning_rate: 0.0002
train_batch_size: 64
eval_batch_size: 64
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: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3345	1.0	280	0.3439	0.9280
0.0597	2.0	560	0.1034	0.9838
0.0323	3.0	840	0.1233	0.9781
0.0322	4.0	1120	0.1209	0.9776
0.0254	5.0	1400	0.1961	0.9755
0.0103	6.0	1680	0.1063	0.9807
0.0116	7.0	1960	0.0669	0.9880
0.0003	8.0	2240	0.1446	0.9791
0.0026	9.0	2520	0.1233	0.9802
0.0021	10.0	2800	0.1276	0.9791

drrobot9/wav2vec2-nigerian-lid-v3

wav2vec2-nigerian-lid-v3