music_genres_classification-finetuned-gtzan

This model is a fine-tuned version of dima806/music_genres_classification on the GTZAN dataset. It achieves the following results on the evaluation set:

Loss: 1.0916
Accuracy: 0.87

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0075	1.0	225	1.1519	0.85
1.1452	2.0	450	1.6658	0.72
0.4469	3.0	675	0.9908	0.85
0.0099	4.0	900	1.2589	0.8
1.3448	5.0	1125	1.1354	0.84
0.0187	6.0	1350	1.4639	0.81
0.0033	7.0	1575	1.2058	0.82
0.0239	8.0	1800	1.5614	0.8
0.863	9.0	2025	1.2788	0.84
0.0025	10.0	2250	0.9944	0.87
0.0022	11.0	2475	1.6352	0.8
0.0018	12.0	2700	1.1239	0.86
0.0024	13.0	2925	0.9718	0.88
0.0018	14.0	3150	1.0899	0.87
0.0016	15.0	3375	1.0916	0.87