Downloads · 30 days
2
3% of all-time downloads
distilhubert-finetuned-gtzan
ephm3ral/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from ephm3ral. 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
71
Public
Parameters
23.7M
94.8 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
- Sep 8, 2025
- Updated
- Sep 8, 2025
- SHA
- 5333965d
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. -->
music-genre-classifier
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: 0.5355
- Accuracy: 0.87
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9405 | 1.0 | 113 | 1.8762 | 0.55 |
| 1.2159 | 2.0 | 226 | 1.2500 | 0.64 |
| 1.0701 | 3.0 | 339 | 1.0760 | 0.69 |
| 0.6849 | 4.0 | 452 | 0.8370 | 0.77 |
| 0.5858 | 5.0 | 565 | 0.6791 | 0.83 |
| 0.3989 | 6.0 | 678 | 0.5868 | 0.82 |
| 0.3409 | 7.0 | 791 | 0.5665 | 0.86 |
| 0.1776 | 8.0 | 904 | 0.5628 | 0.84 |
| 0.1954 | 9.0 | 1017 | 0.5344 | 0.86 |
| 0.1332 | 10.0 | 1130 | 0.5355 | 0.87 |
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.0
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Sep 8, 2025
- Updated
- Sep 8, 2025