readme: extend results section

README.md

@@ -66,11 +66,12 @@ Evaluation is performed with SpanMarkers internal evaluation code that uses `seq
 the official GermEval 2014 Evaluation Script for double-checking the results. A backup of the `nereval.py` script
 can be found [here](https://github.com/bplank/DaNplus/blob/master/scripts/nereval.perl).
 
-We fine-tune 5 models and upload the model with best F1-Score on development set:
+We fine-tune 5 models and upload the model with best F1-Score on development set. Results on development set are
+in brackets:
 
-| Model                  | Run 1 | Run 2 | Run 3 | Run 4 | Run 5 | Avg.
-| ---------------------- | ----- | ----- | ----- | ----- | ----- | -----
-| GELECTRA Large (5e-05) | 89.99 | 89.55 | 89.60 | 89.34 | 89.68 | 89.63
+| Model                  | Run 1           | Run 2           | Run 3           | Run 4           | Run 5           | Avg.
+| ---------------------- | --------------- | --------------- | --------------- | --------------- | --------------- | ---------------
+| GELECTRA Large (5e-05) | (89.99) / 89.08 | (89.55) / 89.23 | (89.60) / 89.10 | (89.34) / 89.02 | (89.68) / 88.80 | (89.63) / 89.05
 
 The best model achieves a final test score of 89.08%: