Update README.md

README.md

@@ -73,22 +73,22 @@ Here's how you can structure the evaluation section:
 
 | Metric  | Base Model | Finetuned Model | Improvement |
 |---------|------------|-----------------|-------------|
-| ROUGE-1 | 2.85       | 4.67           | +1.82       |
-| ROUGE-2 | 0.25       | 0.41           | +0.17       |
-| ROUGE-L | 2.84       | 4.65           | +1.81       |
+| ROUGE-1 | 3.39       | 4.64           | +1.26       |
+| ROUGE-2 | 0.26       | 0.41           | +0.14       |
+| ROUGE-L | 3.38       | 4.63           | +1.25      |
 
 ### Model Prediction Comparison using Bigger model for evaluation
 
 | Category           | Count | Percentage |
 |-------------------|-------|------------|
 | Total samples     | 5962  | 100%       |
-| Same predictions  | 1     | 0.02%      |
-| Better predictions| 4697  | 78.78%     |
-| Worse predictions | 1264  | 21.20%     |
+| Same predictions  | 3     | 0.05%      |
+| Better predictions| 4610  | 77.32%     |
+| Worse predictions | 1349  | 22.63%     |
 
 ### Evaluation Methods
 - ROUGE scores for headline similarity
-- Human evaluation for headline appropriateness
+- Bigger model's custom metrics for headline appropriateness and relativeness 
 
 
 ## Inference