Update README.md

README.md

@@ -50,12 +50,12 @@ evaluation_results:
 
 ## Model Overview
 
-This model is a **text classification model** trained to **predict the tense of English sentences: Past, Present, or Future**. It is based on the `bert-base-uncased` architecture.
+This model is a **text classification model** trained to **predict the tense of English sentences**: **Past**, **Present**, or **Future**. It is based on the `bert-base-uncased` architecture.
 
 ## Intended Use
 
 This model can be used in applications such as:
-- Identifying if statements are discussing past needs, motivations, products, etc.
+- Identifying if statements are discussing past/present/future needs, motivations, products, etc.
 - Determining current events or situations in text.
 - Predicting future plans or intentions based on sentence structure.
 
@@ -73,7 +73,7 @@ The model was fine-tuned on the `ProfessorLeVesseur/EnglishTense` dataset, which
 
 ## Evaluation Results
 
-The model achieves a perfect accuracy of 1.00 on the test set, with precision, recall, and F1-scores also at 1.00 for all classes. These results indicate excellent performance in classifying sentence tenses.
+The model achieves a **perfect accuracy of 1.00** on the test set, with **precision**, **recall**, and **F1-scores** also at **1.00 for all classes**. These results indicate excellent performance in classifying sentence tenses.
 
 ### Classification Report