Update README.md

README.md

@@ -111,13 +111,11 @@ Medical content from Merck's Manual, featuring both professional and patient-ori
    - Measures how well the transformation matrix maps content to topic embeddings
    - Calculated on the 80% training split
    - Lower values indicate better alignment between transformed content and actual topic embeddings
-   - Range: [0,1] where 0 is perfect mapping
 
 2. **Testing MSE**
    - Same metric but on 20% held-out test set
    - Indicates generalization capability
-   - Similar values between train/test suggest good generalization
-   - Slightly higher than training MSE is expected and healthy
+   - Similar values between train/test suggest good generalization. Slightly higher than training MSE is expected and healthy
 
 3. **Inter-topic MSE**
    - Minimum squared distance between any pair of topic embeddings