Update README.md

README.md

@@ -31,10 +31,9 @@ This model can be used for classifying Danish and Norwegian social media posts o
 # Training Data
 A collection of ~70k Norwegian and ~67k Danish social media posts have been manually annotated as 'verbal attack' or 'nothing' by annotators. 5% of the posts have been annotated by more then one annotator, with the annotators in agreement for 83% of annotations.
 
-Norwegian are split  in 70% training, 20% validation and 10% test. The Danish data are split in 70% training, 15% validation and 15% test. 
+Norwegian data are split  in 70% training, 20% validation and 10% test. The Danish data are split in 70% training, 15% validation and 15% test. 
 
-
-# Evaluation metrics
+# Evaluation Metrics
 
 Macro-averaged f1-score for Danish data: 0.87
 Macro-averaged f1-score for Norwegian data: 0.76