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fine-tuned-gtzan
ccourc23/fine-tuned-gtzan
fine-tuned-gtzan is a audio classification model from ccourc23. 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
- Feb 24, 2024
- Updated
- Mar 18, 2024
- SHA
- 5e56621d
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. -->
fine-tuned-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: 0.5559
- Accuracy: 0.89
- Acc: 0.89
- F1: 0.89
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
|---|---|---|---|---|
| 1.946 | 1.0 | 112 | 1.7832 | 0.52 |
| 1.3084 | 2.0 | 225 | 1.2228 | 0.65 |
| 0.8713 | 3.0 | 337 | 0.8974 | 0.75 |
| 0.6942 | 4.0 | 450 | 0.9075 | 0.77 |
| 0.4072 | 5.0 | 562 | 0.7447 | 0.78 |
| 0.2349 | 6.0 | 675 | 0.6456 | 0.81 |
| 0.197 | 7.0 | 787 | 0.6228 | 0.8 |
| 0.2246 | 8.0 | 900 | 0.5927 | 0.84 |
| 0.1987 | 9.0 | 1012 | 0.5558 | 0.88 |
| 0.1152 | 9.96 | 1120 | 0.5559 | 0.89 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Feb 24, 2024
- Updated
- Mar 18, 2024