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distilhubert-finetuned-gtzan
Tilas/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Tilas. 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
- Feb 23, 2026
- Updated
- Feb 23, 2026
- SHA
- 3e502d82
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: 1.0904
- Accuracy: 0.7333
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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_steps: 50
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.5849 | 1.0 | 25 | 2.2619 | 0.1778 |
| 4.2487 | 2.0 | 50 | 1.9974 | 0.4444 |
| 3.7121 | 3.0 | 75 | 1.7052 | 0.5333 |
| 3.3160 | 4.0 | 100 | 1.5181 | 0.6667 |
| 3.0584 | 5.0 | 125 | 1.3935 | 0.6667 |
| 2.7342 | 6.0 | 150 | 1.2549 | 0.6222 |
| 2.4358 | 7.0 | 175 | 1.1904 | 0.7111 |
| 2.3305 | 8.0 | 200 | 1.1772 | 0.7111 |
| 2.2464 | 9.0 | 225 | 1.1206 | 0.6667 |
| 2.1477 | 10.0 | 250 | 1.0904 | 0.7333 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Feb 23, 2026
- Updated
- Feb 23, 2026