learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 4
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: 16
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0659	1.0	225	1.9480	0.3
1.6674	2.0	450	1.4441	0.56
1.2155	3.0	675	1.1217	0.61
0.6299	4.0	900	1.1092	0.6
0.8145	5.0	1125	0.9608	0.71
0.2263	6.0	1350	0.7934	0.78
1.2492	7.0	1575	0.5946	0.83
0.2689	8.0	1800	1.0830	0.81
0.0514	9.0	2025	0.6099	0.88
0.044	10.0	2250	0.7864	0.85
0.067	11.0	2475	0.8360	0.84
0.1052	12.0	2700	0.7800	0.88
0.0058	13.0	2925	0.9246	0.87
0.2286	14.0	3150	0.9947	0.86
0.0041	15.0	3375	0.8841	0.86
0.0045	16.0	3600	0.9971	0.86

gvlk/hubert-base-ls960-finetuned-gtzan

hubert-base-ls960-finetuned-gtzan