learning_rate: 5e-05
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_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.152	1.0	113	2.0748	0.59
1.3845	2.0	226	1.4518	0.61
1.1096	3.0	339	1.0450	0.68
0.703	4.0	452	0.8385	0.77
0.5479	5.0	565	0.7331	0.82
0.4713	6.0	678	0.5985	0.8
0.2392	7.0	791	0.5582	0.8
0.088	8.0	904	0.7288	0.83
0.0976	9.0	1017	0.6088	0.83
0.0575	10.0	1130	0.5913	0.86
0.0153	11.0	1243	0.7503	0.85
0.0073	12.0	1356	0.8163	0.86
0.0058	13.0	1469	0.7235	0.87
0.0049	14.0	1582	0.8402	0.86
0.0036	15.0	1695	0.8322	0.86
0.0035	16.0	1808	0.7559	0.87
0.0033	17.0	1921	0.7148	0.87
0.003	18.0	2034	0.8381	0.87
0.0029	19.0	2147	0.8051	0.87
0.0029	20.0	2260	0.7847	0.87

MohammadDaleen/distilhubert-finetuned-gtzan

distilhubert-finetuned-gtzan