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AST-ASVspoof2019-Synthetic-Voice-Detection
MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection
AST-ASVspoof2019-Synthetic-Voice-Detection is a audio classification model from MattyB95. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- mit
- Model type
- audio-spectrogram-transformer
- Access
- Public
- Created
- Dec 22, 2023
- Updated
- Jan 31, 2024
- SHA
- afd7436a
Base models
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. -->
AST-ASVspoof2019-Synthetic-Voice-Detection
This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss:
- Accuracy:
- F1:
- Precision:
- Recall:
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
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.0 | |||||||
| 2.0 | |||||||
| 3.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Audio Classification
- Library
- transformers
- Type
- audio-spectrogram-transformer
- License
- mit
- Languages
- en
- Created
- Dec 22, 2023
- Updated
- Jan 31, 2024