Deepfake Audio Detection Engine
Fine-tuned Wav2Vec 2.0 model for real-time deepfake and synthetic voice detection.
wav2vec2-base-finetuned-finetuned
This model is a fine-tuned version of mo-thecreator/wav2vec2-base-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0829
- Accuracy: 0.9882
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: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.1448 | 1.0 | 1900 | 0.9601 | 0.1447 |
| 0.0673 | 2.0 | 3800 | 0.9824 | 0.0817 |
| 0.0178 | 3.0 | 5700 | 0.9796 | 0.1054 |
| 0.0002 | 4.0 | 7600 | 0.9824 | 0.1074 |
| 0.0108 | 5.0 | 9500 | 0.9882 | 0.0829 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
Contributors
- Abdalla312
- mo-thecreator