| # Deepfake Detector V13 - Optimized | |
| ## Hyperparameter Optimized Models | |
| Trained on properly shuffled data. | |
| ### Models | |
| - `best_model_1.pt` - ConvNeXt-Large (198M params) | |
| - `best_model_2.pt` - ViT-Large (304M params) | |
| - `best_model_3.pt` - Swin-Large (197M params) | |
| ### Parameters Optimized | |
| Learning rate, dropout, weight decay, optimizer, scheduler, loss function, threshold, augmentation, architecture | |