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Deepfake-audio-detection
Hemgg/Deepfake-audio-detection
Deepfake-audio-detection is a audio classification model from Hemgg. 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
- wav2vec2
- Access
- Public
- Created
- May 10, 2024
- Updated
- May 11, 2024
- SHA
- 0d752713
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. -->
deeepfake-audio-Recognition
This model is a fine-tuned version of facebook/wav2vec2-base on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2288
- Accuracy: 0.9545
Model description
- The model is fintune on facebook/wav2vec2-base
Intended uses & limitations
- The model still needs dataset to increase model accuracy.
Training and evaluation data
- The model is trained on multi-ethnic english dataset.
- The input audio dataset is about 16KHz.
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 10, 2024
- Updated
- May 11, 2024