Hemgg/Deepfake-audio-detection

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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