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distilhubert-finetuned-gtzan
carlfeynman/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from carlfeynman. 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
- Mar 14, 2024
- Updated
- Mar 14, 2024
- SHA
- b80472f6
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. -->
carl-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: 0.7695
- Accuracy: 0.81
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7944 | 1.0 | 113 | 1.7209 | 0.52 |
| 1.2247 | 2.0 | 226 | 1.1857 | 0.75 |
| 1.0477 | 3.0 | 339 | 0.9697 | 0.74 |
| 0.7418 | 4.0 | 452 | 0.8605 | 0.78 |
| 0.6595 | 5.0 | 565 | 0.7695 | 0.81 |
Framework versions
- Transformers 4.38.2
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.2
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Mar 14, 2024
- Updated
- Mar 14, 2024