Update README.md

README.md

@@ -21,9 +21,7 @@ According to the *Recall* metric, we set a performance threshold of at least 80%
 
 The following table presents the test metric results for all the models implemented in this project.
 
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 <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;"/>
 
 
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-After comparing the different results, it can be seen that the model with the highest performance across all metrics is the **ViT** model, achieving the best results according to all the criteria we set in the initial phase.
+*After comparing the different results, it can be seen that the model with the highest performance across all metrics is the **ViT** model, achieving the best results according to all the criteria we set in the initial phase.*