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distilhubert-finetuned-gtzan
cristianengineer/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a machine learning model from cristianengineer. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Oct 6, 2025
- Updated
- Oct 6, 2025
- SHA
- 2c05b15f
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: 0.5422
- Accuracy: 0.86
- F1: 0.8637
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 | F1 |
|---|---|---|---|---|---|
| 1.9976 | 1.0 | 113 | 1.8487 | 0.39 | 0.3005 |
| 1.3415 | 2.0 | 226 | 1.2068 | 0.69 | 0.6651 |
| 1.0975 | 3.0 | 339 | 0.9932 | 0.72 | 0.7123 |
| 0.8802 | 4.0 | 452 | 0.8661 | 0.75 | 0.7420 |
| 0.6405 | 5.0 | 565 | 0.6623 | 0.83 | 0.8338 |
| 0.3902 | 6.0 | 678 | 0.5868 | 0.84 | 0.8414 |
| 0.5014 | 7.0 | 791 | 0.5072 | 0.86 | 0.8598 |
| 0.2168 | 8.0 | 904 | 0.5755 | 0.82 | 0.8308 |
| 0.2849 | 9.0 | 1017 | 0.5300 | 0.86 | 0.8591 |
| 0.1664 | 10.0 | 1130 | 0.5422 | 0.86 | 0.8637 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1
- Type
- hubert
- License
- apache-2.0
- Created
- Oct 6, 2025
- Updated
- Oct 6, 2025