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: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.4277	1.0	25	1.5627	0.4783
1.4946	2.0	50	1.4727	0.5217
1.051	3.0	75	1.3207	0.6087
1.0897	4.0	100	1.3614	0.6522
1.1461	5.0	125	1.3143	0.5652
0.6919	6.0	150	1.1131	0.6087
0.7273	7.0	175	1.4138	0.6522
0.5955	8.0	200	1.2106	0.6957
0.4823	9.0	225	1.1681	0.6087
0.5178	10.0	250	1.1616	0.6522
0.4635	11.0	275	0.9685	0.7826
0.4622	12.0	300	0.9625	0.7826
0.3048	13.0	325	1.0364	0.7391
0.1576	14.0	350	1.0571	0.7391
0.1876	15.0	375	1.1234	0.7391

Hcask/distilhubert

hubert-base-ls960-finetuned-gtzan