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distilhubert-finetuned-gtzan
ahachem140/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from ahachem140. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025
- SHA
- 6b17e815
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilhubert-finetuned-gtzan
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 1.0320
- Accuracy: 0.83
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: 8e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7425 | 1.0 | 225 | 1.5372 | 0.59 |
| 0.987 | 2.0 | 450 | 1.0627 | 0.69 |
| 0.5222 | 3.0 | 675 | 0.7102 | 0.73 |
| 0.4738 | 4.0 | 900 | 0.8310 | 0.74 |
| 0.2161 | 5.0 | 1125 | 0.7271 | 0.8 |
| 0.0103 | 6.0 | 1350 | 0.7824 | 0.84 |
| 0.063 | 7.0 | 1575 | 0.9816 | 0.79 |
| 0.012 | 8.0 | 1800 | 1.2869 | 0.8 |
| 0.0018 | 9.0 | 2025 | 0.9231 | 0.82 |
| 0.001 | 10.0 | 2250 | 0.9579 | 0.84 |
| 0.0008 | 11.0 | 2475 | 0.9185 | 0.84 |
| 0.0007 | 12.0 | 2700 | 1.0446 | 0.83 |
| 0.0007 | 13.0 | 2925 | 0.9800 | 0.83 |
| 0.0006 | 14.0 | 3150 | 1.0443 | 0.83 |
| 0.0006 | 15.0 | 3375 | 1.0320 | 0.83 |
Framework versions
- Transformers 4.55.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jul 29, 2025
- Updated
- Jul 29, 2025