metadata

license: apache-2.0
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-ttoo

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 lingual english speaking dataset.
The input audio dataset is about 16KHz.

Training procedure

Framework versions

Transformers 4.39.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2