Update README.md

README.md

@@ -15,7 +15,13 @@ tags:
 
 Deepfake-Detection-Exp-02-21 is a minimalist, high-quality dataset trained on a ViT-based model for image classification, distinguishing between deepfake and real images. The model is based on Google's **`google/vit-base-patch16-224-in21k`**.
 
-    Classification report:
+```bitex
+Mapping of IDs to Labels: {0: 'Deepfake', 1: 'Real'} 
+
+Mapping of Labels to IDs: {'Deepfake': 0, 'Real': 1}
+```
+```py
+Classification report:
     
                   precision    recall  f1-score   support
     
@@ -25,7 +31,7 @@ Deepfake-Detection-Exp-02-21 is a minimalist, high-quality dataset trained on a
         accuracy                         0.9884      3200
        macro avg     0.9886    0.9884    0.9884      3200
     weighted avg     0.9886    0.9884    0.9884      3200
-
+```
 
 ![download.png](https://cdn-uploads.huggingface.co/production/uploads/6720824b15b6282a2464fc58/0ISoyjxLs-zpqt9Gv4YRo.png)