Update README.md

README.md

@@ -185,13 +185,12 @@ The table below summarizes the evaluation metrics comparing the original base mo
 
 | **Metric**                | **Original Model**            | **Fine-Tuned Model**    | **Comments**                                                                         |
 |---------------------------|-------------------------------|-------------------------|--------------------------------------------------------------------------------------|
-| **ROUGE-1**               | 0.03369                       | **0.69143**             | Over 20× increase; indicates much better content capture.                            |
-| **ROUGE-2**               | 0.00817                       | **0.54533**             | Nearly 67× improvement; higher n-gram quality.                                       |
-| **ROUGE-L**               | 0.03056                       | **0.66429**             | More than 21× increase; improved sequence similarity.                                |
-| **BLEU Score**            | 0.00367                       | **0.31698**             | Approximately 86× increase; demonstrates significant fluency gains.                  |
-| **Fuzzy Match Score**     | 11.31%                        | **81.98%**              | Substantial improvement; generated SQL aligns much closer with human responses.      |
-| **Exact Match Accuracy**  | 0.00%                         | **16.39%**              | Non-zero accuracy achieved; critical for production-readiness.                       |
-
+| **ROUGE-1**               | 0.05647                       | **0.75388**             | Over 13× increase; indicates much better content capture.                            |
+| **ROUGE-2**               | 0.01563                       | **0.61039**             | Nearly 39× improvement; higher n-gram quality.                                       |
+| **ROUGE-L**               | 0.05031                       | **0.72628**             | More than 14× increase; improved sequence similarity.                                |
+| **BLEU Score**            | 0.00314                       | **0.47198**             | Approximately 150× increase; demonstrates significant fluency gains.                 |
+| **Fuzzy Match Score**     | 13.98%                        | **85.62%**              | Substantial improvement; generated SQL aligns much closer with human responses.      |
+| **Exact Match Accuracy**  | 0.00%                         | **18.29%**              | Non-zero accuracy achieved; critical for production-readiness.                       |
 
 #### Summary