Downloads · 30 days
7
18% of all-time downloads
distilhubert-finetuned-gtzan
0xtimi/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from 0xtimi. 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
38
Public
Parameters
23.7M
948 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 10, 2025
- Updated
- Sep 11, 2025
- SHA
- 36258c02
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: 0.9310
- Accuracy: 0.76
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|
| 2.2428 | 1.0 | 29 | 2.1699 | 0.41 |
| 1.9123 | 2.0 | 58 | 1.7838 | 0.58 |
| 1.6039 | 3.0 | 87 | 1.6371 | 0.56 |
| 1.3626 | 4.0 | 116 | 1.3458 | 0.66 |
| 1.2336 | 5.0 | 145 | 1.1972 | 0.69 |
| 1.1113 | 6.0 | 174 | 1.1061 | 0.71 |
| 1.0793 | 7.0 | 203 | 1.0137 | 0.75 |
| 0.9753 | 8.0 | 232 | 0.9772 | 0.77 |
| 0.8941 | 9.0 | 261 | 0.9584 | 0.75 |
| 0.8812 | 10.0 | 290 | 0.9310 | 0.76 |
Framework versions
- Transformers 4.55.0.dev0
- Pytorch 2.7.1+cu126
- Datasets 2.21.0
- Tokenizers 0.21.4
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Sep 10, 2025
- Updated
- Sep 11, 2025