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distilhubert-finetuned-gtzan
avojarot/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from avojarot. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- hubert
- Access
- Public
- Created
- Oct 3, 2023
- Updated
- Oct 3, 2023
- SHA
- 8f9f04d7
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-finetuned-gtzan
This model is a fine-tuned version of distilhubert on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.0713
- Accuracy: 0.99
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0972 | 1.0 | 113 | 0.0982 | 0.99 |
| 0.0478 | 2.0 | 226 | 0.0713 | 0.99 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- Created
- Oct 3, 2023
- Updated
- Oct 3, 2023