Downloads · 30 days
5
18% of all-time downloads
distilhubert-finetuned-gtzan
enya530/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from enya530. 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. --
All-time downloads
28
Public
Parameters
23.7M
758 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors94.8 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Jun 5, 2025
- Updated
- Jun 9, 2025
- SHA
- 8b3430ac
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: 0.6166
- Accuracy: 0.84
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 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9128 | 1.0 | 113 | 1.8368 | 0.5 |
| 1.2166 | 2.0 | 226 | 1.2675 | 0.68 |
| 1.0487 | 3.0 | 339 | 1.0766 | 0.69 |
| 0.7006 | 4.0 | 452 | 0.8132 | 0.77 |
| 0.5278 | 5.0 | 565 | 0.6896 | 0.8 |
| 0.3829 | 6.0 | 678 | 0.7030 | 0.79 |
| 0.332 | 7.0 | 791 | 0.6133 | 0.8 |
| 0.1517 | 8.0 | 904 | 0.6362 | 0.79 |
| 0.198 | 9.0 | 1017 | 0.6129 | 0.83 |
| 0.1756 | 10.0 | 1130 | 0.6166 | 0.84 |
Framework versions
- Transformers 4.53.0.dev0
- Pytorch 2.6.0
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jun 5, 2025
- Updated
- Jun 9, 2025