Added additional information to README.

README.md

@@ -2,4 +2,19 @@
 license: cc-by-nc-4.0
 language:
 - en
----
+---
+Pretrained model for Deepfake Video Detection Using Generative Convolutional Vision Transformer (GenConViT) paper.
+
+#GenConViT Model Architecture
+
+The GenConViT model consists of two independent networks and incorporates the following modules:
+
+    Autoencoder (AE),
+    Variational Autoencoder (VAE), and
+    ConvNeXt-Swin Hybrid layer
+
+GenConViT is trained using Adam optimizer with a learning rate of 0.0001 and weight decay of 0.0001.
+GenConViT is trained on the DFDC, FF++, and TM datasets.
+GenConViT model has an average accuracy of 95.8% and an AUC value of 99.3% across the tested datasets (DFDC, FF++, and DeepfakeTIMT, Celeb-DF (v2)).
+
+code link: https://github.com/erprogs/GenConViT