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metadata
library_name: transformers
license: apache-2.0
base_model: Heem2/Deepfake-audio-detection
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: deepfake-audio-detector-v12
    results: []

deepfake-audio-detector-v12

This model is a fine-tuned version of Heem2/Deepfake-audio-detection on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8698
  • Accuracy: 0.9072
  • Precision: 0.8756
  • Recall: 0.9492
  • F1: 0.9109

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: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy Precision Recall F1
0.4229 1.0 571 0.3528 0.8669 0.8223 0.9361 0.8755
0.1973 2.0 1142 0.5274 0.9076 0.8781 0.9466 0.9111
0.2161 3.0 1713 0.8698 0.9072 0.8756 0.9492 0.9109

Framework versions

  • Transformers 4.52.4
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.2