Update README.md

README.md

@@ -21,7 +21,7 @@ library_name: transformers
 
 ## Model description
 
-This model is fine-tuned from [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) for text classification tasks, specifically sentiment analysis of customer feedback on electrical devices - circuit breakers, transformers, smart meters, inverters, solar panels, power strips etc. The model has been optimized to classify sentiments into categories such as Positive, Negative, Neutral, and Mixed with high precision and recall, making it ideal for analyzing product reviews, customer surveys, and other feedback to derive actionable insights.
+This model is fine-tuned from [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) for text classification tasks, specifically sentiment analysis of customer feedback on electrical devices - circuit breakers, transformers, smart meters, inverters, solar panels, power strips etc. The model has been optimized to classify sentiments into categories such as Positive, Negative, Neutral, and Mixed with high f1 and accuracy scores, making it ideal for analyzing product reviews, customer surveys, and other feedback to derive actionable insights.
 
 ## Training Data