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: 1.0028
  • 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: 5
  • eval_batch_size: 5
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.12
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.5758 1.0 180 1.5756 0.52
1.079 2.0 360 1.2787 0.6
1.186 3.0 540 1.3863 0.58
0.9181 4.0 720 1.3967 0.64
0.4356 5.0 900 1.2449 0.67
0.4013 6.0 1080 1.2714 0.71
0.5518 7.0 1260 0.8282 0.8
0.4808 8.0 1440 1.3598 0.75
0.3608 9.0 1620 1.1908 0.8
0.181 10.0 1800 0.9824 0.83
0.0553 11.0 1980 1.0336 0.84
0.2445 12.0 2160 1.1085 0.83
0.0103 13.0 2340 1.1288 0.84
0.2437 14.0 2520 1.0183 0.85
0.0921 15.0 2700 1.0028 0.87

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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Dataset used to train nickprock/music_genres_classification-finetuned-gtzan

Evaluation results