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distilhubert-finetuned-gtzan
iammartian0/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from iammartian0. 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 3, 2023
- Updated
- Jul 3, 2023
- SHA
- 3e9ae1d8
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: 0.5528
- 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1578 | 0.99 | 56 | 2.1203 | 0.55 |
| 1.6815 | 2.0 | 113 | 1.6607 | 0.57 |
| 1.2921 | 2.99 | 169 | 1.2421 | 0.64 |
| 1.0324 | 4.0 | 226 | 1.0260 | 0.7 |
| 0.8661 | 4.99 | 282 | 0.8973 | 0.7 |
| 0.6192 | 6.0 | 339 | 0.7420 | 0.79 |
| 0.5437 | 6.99 | 395 | 0.6951 | 0.8 |
| 0.4917 | 8.0 | 452 | 0.6996 | 0.78 |
| 0.3868 | 8.99 | 508 | 0.6648 | 0.81 |
| 0.3816 | 10.0 | 565 | 0.6584 | 0.79 |
| 0.1935 | 10.99 | 621 | 0.6101 | 0.84 |
| 0.128 | 12.0 | 678 | 0.5445 | 0.85 |
| 0.1144 | 12.99 | 734 | 0.5703 | 0.84 |
| 0.0828 | 14.0 | 791 | 0.5632 | 0.83 |
| 0.0928 | 14.87 | 840 | 0.5528 | 0.84 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jul 3, 2023
- Updated
- Jul 3, 2023