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distilhubert-finetuned-gtzan
Agneev/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Agneev. 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
- Aug 17, 2023
- Updated
- Aug 20, 2023
- SHA
- 4e7a9940
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. -->
wav2vec2-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: 0.5746
- Accuracy: 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0253 | 0.99 | 28 | 1.8206 | 0.38 |
| 1.3127 | 1.98 | 56 | 1.1930 | 0.64 |
| 0.9726 | 2.97 | 84 | 0.9269 | 0.69 |
| 1.2272 | 4.0 | 113 | 1.1682 | 0.66 |
| 0.6441 | 4.99 | 141 | 0.9781 | 0.71 |
| 0.5447 | 5.98 | 169 | 0.8603 | 0.74 |
| 0.3067 | 6.97 | 197 | 0.6313 | 0.86 |
| 0.1481 | 8.0 | 226 | 0.5746 | 0.89 |
| 0.0599 | 8.99 | 254 | 0.7602 | 0.84 |
| 0.0306 | 9.91 | 280 | 0.8119 | 0.81 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Aug 17, 2023
- Updated
- Aug 20, 2023