Update README.md

README.md

@@ -36,9 +36,9 @@ license: mit
 It has been trained to recognize four types of entities: location (LOC), organizations (ORG), person (PERS) and Miscellaneous (MISC). 
 
 Results:
-- F-score (micro) 0.8544
-- F-score (macro) 0.7406
-- Accuracy 0.798
+- F-score (micro) **0.8544**
+- F-score (macro) **0.7406**
+- Accuracy **0.798**
 
               precision    recall  f1-score   support
 
@@ -55,4 +55,4 @@ The model was fine-tuned on the [NER-UK dataset](https://github.com/lang-uk/ner-
 Training code is also available [here](https://github.com/lang-uk/flair-ner).
 
 
-Copyright: Dmytro Chaplynskyi, [lang-uk project](https://lang.org.ua), 2022
+Copyright: [Dmytro Chaplynskyi](https://twitter.com/dchaplinsky), [lang-uk project](https://lang.org.ua), 2022