learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.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_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1662	1.0	113	2.0969	0.49
1.4471	2.0	226	1.4806	0.63
1.2335	3.0	339	1.1547	0.7
0.7599	4.0	452	0.8350	0.77
0.7346	5.0	565	0.7082	0.8
0.758	6.0	678	0.6305	0.75
0.4213	7.0	791	0.5270	0.86
0.1611	8.0	904	0.6318	0.83
0.3524	9.0	1017	0.5654	0.86
0.2389	10.0	1130	0.6017	0.83
0.0697	11.0	1243	0.5756	0.82
0.1679	12.0	1356	0.5597	0.86
0.0564	13.0	1469	0.7210	0.83
0.0394	14.0	1582	0.6780	0.85
0.0125	15.0	1695	0.7480	0.82
0.0147	16.0	1808	0.6366	0.83
0.1147	17.0	1921	0.6137	0.86
0.0083	18.0	2034	0.5979	0.85
0.0132	19.0	2147	0.6684	0.88
0.0064	20.0	2260	0.5114	0.88

tschwarz/distilhubert-finetuned-gtzan

distilhubert-finetuned-gtzan