learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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
2.2418	1.0	57	2.1887	0.41
1.7963	2.0	114	1.7322	0.47
1.375	3.0	171	1.3294	0.67
1.0205	4.0	228	1.0478	0.7
0.8203	5.0	285	0.8415	0.76
0.699	6.0	342	0.7388	0.8
0.5515	7.0	399	0.7179	0.8
0.359	8.0	456	0.7102	0.83
0.3362	9.0	513	0.5565	0.87
0.2396	10.0	570	0.5104	0.86
0.1479	11.0	627	0.4885	0.87
0.1418	12.0	684	0.5929	0.85
0.1281	13.0	741	0.6748	0.83
0.049	14.0	798	0.6507	0.85
0.0401	15.0	855	0.6423	0.84
0.0251	16.0	912	0.5937	0.86
0.0147	17.0	969	0.5809	0.88
0.0541	18.0	1026	0.5991	0.88
0.0123	19.0	1083	0.6127	0.88
0.0079	20.0	1140	0.6191	0.88

MartinRedWhite/distilhubert-finetuned-gtzan

distilhubert-finetuned-gtzan