Update README.md

README.md

@@ -30,7 +30,7 @@ The **Deep-Fake-Detector-Model** is a state-of-the-art deep learning model desig
 - **Architecture**: Vision Transformer (ViT) - `google/vit-base-patch16-224-in21k`.
 - **Input**: RGB images resized to 224x224 pixels.
 - **Output**: Binary classification ("Real" or "Fake").
-- **Training Dataset**: A curated dataset of real and deepfake images (e.g., `Hemg/deepfake-and-real-images`).
+- **Training Dataset**: A curated dataset of real and deepfake images.
 - **Fine-Tuning**: The model is fine-tuned using Hugging Face's `Trainer` API with advanced data augmentation techniques.
 - **Performance**: Achieves high accuracy and F1 score on validation and test datasets.