README.md

metadata

license: apache-2.0
pipeline_tag: audio-classification
base_model: facebook/wav2vec2-base
tags:
  - generated_from_trainer
datasets:
  - audiofolder
metrics:
  - accuracy
model-index:
  - name: Deeepfake-audio
    results:
      - task:
          name: Audio Classification
          type: audio-classification
        dataset:
          name: audiofolder
          type: audiofolder
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9545454545454546

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