Update README.md

README.md

@@ -12,7 +12,12 @@ pipeline_tag: text-classification
 
 This repository contains a fine-tuned Bert base model for sequence classification on the CNN News dataset. The model is able to classify news articles into one of six categories: business, entertainment, health, news, politics, and sport.
 
-The model was fine-tuned for four epochs achieving a validation loss of 0.190814, accuracy of 0.956690, precision of 0.956393, recall of 0.956690, and F1-score of 0.956144.
+The model was fine-tuned for four epochs achieving a training loss of 0.077900, a validation loss of 0.190814
+
+ - accuracy : 0.956690.
+ - f1 : 0.956144.
+ - precision : 0.956393
+ - recall : 0.956690
 
 ## Model Description