Update README.md

README.md

@@ -216,7 +216,7 @@ The model was evaluated based on the training loss across 200 steps. Below is th
 
 #### Summary
 
-The model performs well in identifying common forms of SQL injection but may not handle all edge cases or complex attack patterns. The model shows a significant reduction in training loss over the first 100 steps, indicating good convergence during the fine-tuning process. After step 100, the training loss becomes more stable but continues to fluctuate slightly. Overall, the model achieved a low loss by the final training step, suggesting effective learning and adaptation to the task of classifying SQL injections.
+The model shows a significant reduction in training loss over the first 100 steps, indicating good convergence during the fine-tuning process. After step 100, the training loss becomes more stable but continues to fluctuate slightly. Overall, the model achieved a low loss by the final training step, suggesting effective learning and adaptation to the task of classifying SQL injections.
 
 ## Technical Specifications [optional]