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distilhubert-finetuned-gtzan
HamzaSidhu786/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from HamzaSidhu786. 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
- wav2vec2
- Access
- Public
- Created
- Jul 14, 2024
- Updated
- Aug 4, 2024
- SHA
- fa8b98e7
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. -->
HamzaSidhu786/distilhubert-finetuned-gtzan
This model is a fine-tuned version of facebook/wav2vec2-base on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.6028
- Accuracy: 0.88
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: 3e-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 |
|---|---|---|---|---|
| 2.0751 | 1.0 | 113 | 2.0343 | 0.6 |
| 1.5734 | 2.0 | 226 | 1.6338 | 0.58 |
| 1.3801 | 3.0 | 339 | 1.2674 | 0.7 |
| 1.0384 | 4.0 | 452 | 1.1376 | 0.68 |
| 0.973 | 5.0 | 565 | 0.9849 | 0.73 |
| 1.0033 | 6.0 | 678 | 0.7686 | 0.76 |
| 0.6347 | 7.0 | 791 | 0.5909 | 0.87 |
| 0.6537 | 8.0 | 904 | 0.9489 | 0.75 |
| 0.359 | 9.0 | 1017 | 0.7478 | 0.81 |
| 0.2268 | 10.0 | 1130 | 0.6247 | 0.84 |
| 0.2674 | 11.0 | 1243 | 0.6437 | 0.84 |
| 0.2237 | 12.0 | 1356 | 0.7997 | 0.81 |
| 0.1418 | 13.0 | 1469 | 0.7738 | 0.84 |
| 0.1201 | 14.0 | 1582 | 0.5696 | 0.87 |
| 0.019 | 15.0 | 1695 | 0.8173 | 0.84 |
| 0.0175 | 16.0 | 1808 | 0.6395 | 0.88 |
| 0.16 | 17.0 | 1921 | 0.6062 | 0.87 |
| 0.0137 | 18.0 | 2034 | 0.5422 | 0.9 |
| 0.0127 | 19.0 | 2147 | 0.6421 | 0.88 |
| 0.0129 | 20.0 | 2260 | 0.6028 | 0.88 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jul 14, 2024
- Updated
- Aug 4, 2024