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distilhubert-finetuned-gtzan
ghassenhannachi/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from ghassenhannachi. 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
- Nov 23, 2023
- Updated
- Nov 23, 2023
- SHA
- 4f700195
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: 0.9405
- Accuracy: 0.83
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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1782 | 1.0 | 113 | 2.0403 | 0.46 |
| 1.487 | 2.0 | 226 | 1.3902 | 0.64 |
| 1.1634 | 3.0 | 339 | 1.0882 | 0.71 |
| 0.9874 | 4.0 | 452 | 0.9260 | 0.68 |
| 0.7754 | 5.0 | 565 | 0.7265 | 0.8 |
| 0.4512 | 6.0 | 678 | 0.6141 | 0.84 |
| 0.4947 | 7.0 | 791 | 0.8277 | 0.78 |
| 0.1896 | 8.0 | 904 | 0.7220 | 0.81 |
| 0.2142 | 9.0 | 1017 | 0.6393 | 0.85 |
| 0.0413 | 10.0 | 1130 | 0.8113 | 0.82 |
| 0.0105 | 11.0 | 1243 | 0.7368 | 0.82 |
| 0.1392 | 12.0 | 1356 | 0.8139 | 0.85 |
| 0.0051 | 13.0 | 1469 | 0.7893 | 0.86 |
| 0.0041 | 14.0 | 1582 | 0.8515 | 0.83 |
| 0.0041 | 15.0 | 1695 | 0.7707 | 0.85 |
| 0.0033 | 16.0 | 1808 | 0.8931 | 0.84 |
| 0.0772 | 17.0 | 1921 | 0.8411 | 0.86 |
| 0.0028 | 18.0 | 2034 | 0.8884 | 0.83 |
| 0.0025 | 19.0 | 2147 | 0.9094 | 0.84 |
| 0.0027 | 20.0 | 2260 | 0.9405 | 0.83 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Nov 23, 2023
- Updated
- Nov 23, 2023