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AST-ASVspoof2019-Synthetic-Voice-Detection

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the audiofolder dataset. It achieves the following results on the evaluation set:

  • Loss:
  • Accuracy:
  • F1:
  • Precision:
  • Recall:

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
1.0
2.0
3.0

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Safetensors
Model size
86.2M params
Tensor type
F32
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Finetuned from

Dataset used to train MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection

Collection including MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection

Evaluation results