Update README.md

README.md

@@ -4,7 +4,8 @@ language:
 - fi
 metrics:
 - f1
-- accuracy
+- precision
+- recall
 library_name: transformers
 pipeline_tag: token-classification
 ---
@@ -96,6 +97,22 @@ The training code with instructions will be available soon [here](https://github
 
 ## Evaluation results
 
+Evaluation results using the test dataset are listed below:
+
+||Precision|Recall|F1-score
+-|-|-|-
+PERSON|0.91|0.91|0.91
+ORG|0.88|0.89|0.89
+LOC|0.87|0.89|0.88
+GPE|0.93|0.94|0.93
+PRODUCT|0.77|0.82|0.80
+EVENT|0.66|0.71|0.69
+DATE|0.89|0.92|0.91
+JON|0.78|0.83|0.80
+FIBC|0.88|0.94|0.69
+NORP|0.91|0.95|0.93
+
+The metrics were calculated using the [seqeval](https://github.com/chakki-works/seqeval) library.
 
 ## Acknowledgements
 
@@ -106,4 +123,4 @@ museums and libraries that digitise and provide digital materials to their custo
 to digitisation and the processing of digital materials.
 
 Project partners were the National Archives of Finland, Central Archives for Finnish Business Records (Elka), 
-South-Eastern Finland University of Applied Sciences Ltd (Xamk) and Disec Ltd.
+South-Eastern Finland University of Applied Sciences Ltd (Xamk) and Disec Ltd.