Update README.md

README.md

@@ -31,17 +31,21 @@ https://huggingface.co/spaces/Nucha/NuchaSkillNER
 ## Evaluation
 You can employ this model using the Transformers library's *pipeline* for NER, or incorporate it as a conventional Transformer in the HuggingFace ecosystem.
 
+```
 1017/5083
 
                 precision   recall    f1-score  support
 
       HSKILL    0.89        0.91      0.90      3708
       SSKILL    0.91        0.91      0.91      2299
+
    micro avg    0.90        0.91      0.90      6007
    macro avg    0.90        0.91      0.91      6007
 weighted avg    0.90        0.91      0.90      6007
 
 Accuracy: 0.9972517975663717
+```
+
 
 #### Testing Data
 You can employ this model using the Transformers library's *pipeline* for NER, or incorporate it as a conventional Transformer in the HuggingFace ecosystem.