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distilhubert-finetuned-gtzan
NemesisAlm/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from NemesisAlm. 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
- Jul 4, 2023
- Updated
- Jul 5, 2023
- SHA
- 8137eab4
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 NemesisAlm/distilhubert-finetuned-gtzan on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.7322
- Accuracy: 0.905
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0002 | 1.0 | 100 | 0.5783 | 0.915 |
| 0.1984 | 2.0 | 200 | 0.7051 | 0.91 |
| 0.0518 | 3.0 | 300 | 1.0287 | 0.865 |
| 0.0039 | 4.0 | 400 | 0.7660 | 0.895 |
| 0.0001 | 5.0 | 500 | 0.7513 | 0.91 |
| 0.0001 | 6.0 | 600 | 0.7757 | 0.9 |
| 0.0002 | 7.0 | 700 | 0.9340 | 0.87 |
| 0.0001 | 8.0 | 800 | 0.7237 | 0.9 |
| 0.0001 | 9.0 | 900 | 0.7298 | 0.905 |
| 0.0001 | 10.0 | 1000 | 0.7322 | 0.905 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jul 4, 2023
- Updated
- Jul 5, 2023