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distilhubert-finetuned-gtzan
sofiapecora/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from sofiapecora. 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 1, 2023
- Updated
- Jan 3, 2024
- SHA
- a0b0699d
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: 0.5833
- Accuracy: 0.84
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 10
- 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 |
|---|---|---|---|---|
| 1.9977 | 1.0 | 90 | 1.8501 | 0.47 |
| 1.2442 | 2.0 | 180 | 1.2525 | 0.65 |
| 1.1725 | 3.0 | 270 | 1.1111 | 0.68 |
| 0.955 | 4.0 | 360 | 0.8526 | 0.74 |
| 0.7524 | 5.0 | 450 | 0.7258 | 0.77 |
| 0.5618 | 6.0 | 540 | 0.7356 | 0.75 |
| 0.3265 | 7.0 | 630 | 0.6126 | 0.78 |
| 0.3194 | 8.0 | 720 | 0.5614 | 0.84 |
| 0.3098 | 9.0 | 810 | 0.5797 | 0.81 |
| 0.3189 | 10.0 | 900 | 0.5833 | 0.84 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1
- Datasets 2.4.0
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Nov 1, 2023
- Updated
- Jan 3, 2024