learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
4.3372	1.0	57	2.1037	0.37
3.5091	2.0	114	1.7248	0.55
2.9802	3.0	171	1.4436	0.57
2.3109	4.0	228	1.3017	0.66
1.8822	5.0	285	1.1528	0.68
1.9275	6.0	342	0.9594	0.72
1.6896	7.0	399	0.7778	0.85
1.2257	8.0	456	0.7596	0.83
0.9672	9.0	513	0.8690	0.79
0.8144	10.0	570	0.5945	0.88
0.7628	11.0	627	0.7198	0.81
0.5727	12.0	684	0.5887	0.87
0.4335	13.0	741	0.5249	0.88

titmambyves6/wav2vec2-base-finetuned-gtzan

wav2vec2-base-finetuned-gtzan