Update README.md

README.md

@@ -24,9 +24,10 @@ After building and running these models and evaluating their prediction results,
 
 The following table presents the test metric results for all the models implemented in this project.
 
-<img src="https://cdn-uploads.huggingface.co/production/uploads/66d6f28a19214d743ca1eb43/q6g7SAHT-enMFOkoXqxWc.png" alt="Description" width="500" style="display: block; margin-left: auto; margin-right: auto;"/>
+<img src="https://cdn-uploads.huggingface.co/production/uploads/66d6f28a19214d743ca1eb43/q6g7SAHT-enMFOkoXqxWc.png" alt="Description" width="500" style="display: block; margin-left: auto; margin-right: auto;"/> 
 
 
-<span style="font-size:20px">**After comparing the different results, it can be seen that the model with the highest performance across all metrics is the *<span style="color:darkred">VIT</span>* model, achieving the best results according to all the criteria we set in the initial phase.**.</span>
+
+<span style="font-size:20px">**After comparing the different results,<u> it can be seen that the model with the highest performance across all metrics is the *VIT* model</u>, achieving the best results according to all the criteria we set in the initial phase.**.</span>
 
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