MattyB95/VIT-ASVspoof2019-MFCC-Synthetic-Voice-Detection

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VIT-ASVspoof2019-MFCC-Synthetic-Voice-Detection

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1213
• —Accuracy: 0.9804
• —F1: 0.9892
• —Precision: 0.9788
• —Recall: 0.9999

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

Framework versions

• —Transformers 4.36.2
• —Pytorch 2.1.2+cu121
• —Datasets 2.15.0
• —Tokenizers 0.15.0