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distilhubert-finetuned-gtzan
Janos98/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Janos98. 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
- Aug 3, 2026
- Updated
- Aug 15, 2026
- SHA
- 233065e7
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: 0.9350
- Accuracy: 0.8197
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8535 | 1.0 | 169 | 1.7264 | 0.5275 |
| 1.2570 | 2.0 | 338 | 1.2368 | 0.6995 |
| 1.0383 | 3.0 | 507 | 1.0339 | 0.7679 |
| 0.9262 | 4.0 | 676 | 1.0621 | 0.7563 |
| 0.7975 | 5.0 | 845 | 0.9497 | 0.8030 |
| 0.7666 | 6.0 | 1014 | 0.9493 | 0.8047 |
| 0.7252 | 7.0 | 1183 | 0.9272 | 0.8230 |
| 0.7026 | 8.0 | 1352 | 0.9323 | 0.8197 |
| 0.6705 | 9.0 | 1521 | 0.9310 | 0.8197 |
| 0.6881 | 10.0 | 1690 | 0.9350 | 0.8197 |
Framework versions
- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Aug 3, 2026
- Updated
- Aug 15, 2026