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distilhubert-finetuned-gtzan
okmich/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from okmich. 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
- Apr 29, 2025
- Updated
- May 14, 2025
- SHA
- 79717239
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: 0.6494
- Accuracy: 0.82
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2235 | 1.0 | 57 | 2.1240 | 0.46 |
| 1.6742 | 2.0 | 114 | 1.5934 | 0.57 |
| 1.2803 | 3.0 | 171 | 1.3244 | 0.62 |
| 0.9666 | 4.0 | 228 | 1.0472 | 0.72 |
| 0.6942 | 5.0 | 285 | 0.8506 | 0.83 |
| 0.6772 | 6.0 | 342 | 0.7223 | 0.83 |
| 0.4997 | 7.0 | 399 | 0.7492 | 0.79 |
| 0.3602 | 8.0 | 456 | 0.7090 | 0.8 |
| 0.3209 | 9.0 | 513 | 0.6171 | 0.81 |
| 0.1864 | 10.0 | 570 | 0.5821 | 0.82 |
| 0.1642 | 11.0 | 627 | 0.5885 | 0.82 |
| 0.1225 | 12.0 | 684 | 0.7474 | 0.81 |
| 0.1189 | 13.0 | 741 | 0.6764 | 0.84 |
| 0.0773 | 14.0 | 798 | 0.6835 | 0.81 |
| 0.074 | 14.7467 | 840 | 0.6494 | 0.82 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Apr 29, 2025
- Updated
- May 14, 2025