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distilhubert-finetuned-gtzan
MaroueneSaidi/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from MaroueneSaidi. 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
- Oct 10, 2025
- Updated
- Oct 18, 2025
- SHA
- b5332b3b
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: 0.7332
- Accuracy: 0.86
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: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|---|---|---|---|---|
| 2.094 | 1.0 | 113 | 1.9773 | 0.59 |
| 1.281 | 2.0 | 226 | 1.2951 | 0.63 |
| 1.0815 | 3.0 | 339 | 0.9950 | 0.73 |
| 0.7321 | 4.0 | 452 | 0.7678 | 0.8 |
| 0.4953 | 5.0 | 565 | 0.6327 | 0.84 |
| 0.3619 | 6.0 | 678 | 0.5156 | 0.83 |
| 0.2213 | 7.0 | 791 | 0.4978 | 0.82 |
| 0.1027 | 8.0 | 904 | 0.6185 | 0.85 |
| 0.0954 | 9.0 | 1017 | 0.6237 | 0.84 |
| 0.0236 | 10.0 | 1130 | 0.6720 | 0.86 |
| 0.0161 | 11.0 | 1243 | 0.7193 | 0.85 |
| 0.0111 | 12.0 | 1356 | 0.7451 | 0.86 |
| 0.0093 | 13.0 | 1469 | 0.7095 | 0.86 |
| 0.0096 | 14.0 | 1582 | 0.7745 | 0.86 |
| 0.0443 | 15.0 | 1695 | 0.7332 | 0.86 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Oct 10, 2025
- Updated
- Oct 18, 2025