This model is a fine-tuned version of yuval6967/distilhubert-finetuned-gtzan on the GTZAN dataset. It achieves the following results on the evaluation set:

Loss: 0.4478
Accuracy: 0.935

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: 8
eval_batch_size: 8
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	100	0.3000	0.935
No log	2.0	200	0.4770	0.905
No log	3.0	300	0.5666	0.93
No log	4.0	400	0.4572	0.92
0.0298	5.0	500	0.6038	0.9
0.0298	6.0	600	0.4111	0.925
0.0298	7.0	700	0.4528	0.93
0.0298	8.0	800	0.4400	0.94
0.0298	9.0	900	0.4638	0.935
0.0081	10.0	1000	0.4478	0.935

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

FredDYyy/distilhubert-finetuned-gtzan-finetuned-gtzan

distilhubert-finetuned-gtzan-music-genre-classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

FredDYyy/
distilhubert-finetuned-gtzan-finetuned-gtzan