learning_rate: 8e-05
train_batch_size: 12
eval_batch_size: 12
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
2.1317	1.0	75	2.0386	0.33
1.36	2.0	150	1.4142	0.58
1.1456	3.0	225	1.1110	0.66
0.6417	4.0	300	1.0142	0.69
0.3324	5.0	375	0.5881	0.82
0.2208	6.0	450	0.5516	0.84
0.3346	7.0	525	0.5267	0.87
0.2309	8.0	600	0.7404	0.8
0.0267	9.0	675	0.6636	0.8
0.0309	10.0	750	0.6390	0.84
0.0076	11.0	825	0.6949	0.85
0.0053	12.0	900	0.6405	0.87
0.005	13.0	975	0.7065	0.84
0.004	14.0	1050	0.8570	0.84
0.0031	15.0	1125	0.6735	0.88
0.0028	16.0	1200	0.7023	0.85
0.0027	17.0	1275	0.6823	0.86
0.0369	18.0	1350	0.7320	0.85
0.0024	19.0	1425	0.6656	0.86
0.0023	20.0	1500	0.6628	0.86

flaneur-ml/distilhubert-finetuned-gtzan

distilhubert-finetuned-gtzan