Update README.md

README.md

@@ -18,9 +18,9 @@ Consequently, there is a growing demand for precise analysis of content in Arabi
 
 This work used Llama 3.2 with its vision capability to effectively identify hate content within Arabic memes.
 The evaluation is conducted using a dataset of Arabic memes proposed in the ArabicNLP MAHED 2025 challenge. 
-The results underscore the capacity of Llama 3.2-11B fine-tuned with Arabic memes, to deliver the superior performance. 
+The results underscore the capacity of ***Llama 3.2-11B fine-tuned with Arabic memes***, to deliver the superior performance. 
 
-They achieve accuracy of **80.3%** and macro F1 score of **73.3%**.
+They achieve **accuracy** of **80.3%** and **macro F1 score** of **73.3%**.
 
 The proposed solutions offer a more nuanced understanding of memes for accurate and efficient Arabic content moderation systems.