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MattyB95/AST-VoxCelebSpoof-Synthetic-Voice-Detection

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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AST-VoxCelebSpoof-Synthetic-Voice-Detection

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 89136693248.0
  • —Accuracy: 0.9999
  • —F1: 0.9999
  • —Precision: 1.0
  • —Recall: 0.9998

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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3.0

Training results

Training LossEpochStepValidation LossAccuracyF1PrecisionRecall
2218896740319.2321.029527611463921664.00.99980.99980.99990.9997
522149441830.9122.059054284563668992.00.99970.99970.99990.9996
0.03.08858189136693248.00.99990.99991.00.9998

Framework versions

  • —Transformers 4.36.2
  • —Pytorch 2.1.2
  • —Datasets 2.16.1
  • —Tokenizers 0.15.0