Update README.md

README.md

@@ -14,8 +14,15 @@ base_model:
 # **Deepfake-Detection-Exp-02-22**
 
 Deepfake-Detection-Exp-02-22 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-patch32-224-in21k`**.
-        
-        Classification report:
+
+```bitex
+Mapping of IDs to Labels: {0: 'Deepfake', 1: 'Real'} 
+
+Mapping of Labels to IDs: {'Deepfake': 0, 'Real': 1}
+```
+
+```python        
+Classification report:
         
                       precision    recall  f1-score   support
         
@@ -25,7 +32,7 @@ Deepfake-Detection-Exp-02-22 is a minimalist, high-quality dataset trained on a
             accuracy                         0.9516      3200
            macro avg     0.9535    0.9516    0.9515      3200
         weighted avg     0.9535    0.9516    0.9515      3200
-        
+```
 
 
 ![download (1).png](https://cdn-uploads.huggingface.co/production/uploads/6720824b15b6282a2464fc58/-25Oh3wureg_MI4nvjh7w.png)