Update README.md

README.md

@@ -48,9 +48,9 @@ Classification Report:
            
     accuracy                           0.80      3068
     
-   macro avg       0.71      0.70      0.70      3068
-   
-weighted avg       0.80      0.80      0.80      3068
+    macro avg       0.71      0.70      0.70      3068
+    
+    weighted avg       0.80      0.80      0.80      3068
 
 ## 🧑‍💻 How to Use
 
@@ -102,6 +102,9 @@ model.eval()
 ```
 
 ## ⚠️ Limitations and Considerations
+
 Input Dimensions: Make sure your input images are resized to the expected dimensions (100x100) before inference.
+
 Number of Classes: The trained model supports exactly 7 classes as defined in the training dataset.
-Output: The model output should be a probability of each of the 7 face type labels. Don't forget to use the softmax function to make predictions. Note that softmax is not used in the last layer of this model's architecture.
+
+Output: The model output should be a probability of each of the 7 face type labels. Don't forget to use the softmax function to make predictions. Note that softmax is not used in the last layer of this model's architecture.