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distilhubert-finetuned-gtzan
CornerINCorner/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from CornerINCorner. 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 21, 2023
- Updated
- Jul 25, 2023
- SHA
- 992d3fa2
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: 1.0726
- Accuracy: 0.85
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 1.3797 | 1.0 | 57 | 1.7501 | 0.41 |
| 1.1585 | 2.0 | 114 | 1.3004 | 0.55 |
| 1.1663 | 3.0 | 171 | 1.1380 | 0.64 |
| 0.8421 | 4.0 | 228 | 1.0330 | 0.7 |
| 0.5175 | 5.0 | 285 | 0.7122 | 0.82 |
| 0.492 | 6.0 | 342 | 0.6735 | 0.79 |
| 0.2152 | 7.0 | 399 | 0.9674 | 0.79 |
| 0.1405 | 8.0 | 456 | 0.7406 | 0.84 |
| 0.0698 | 9.0 | 513 | 0.9159 | 0.83 |
| 0.0116 | 10.0 | 570 | 1.0726 | 0.85 |
Framework versions
- Transformers 4.30.2
- 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 21, 2023
- Updated
- Jul 25, 2023