Update README.md

Add HR std NER scores

README.md

@@ -18,7 +18,18 @@ Three tasks were chosen for model evaluation:
   
 In all cases, this model was finetuned for specific downstream tasks.
 ## NER
-(entry to be added soon)
+Mean F1 scores were used to evaluate performance.
+
+| system                                                                 | dataset                     |   F1 score |
+|:-----------------------------------------------------------------------|:----|------:|
+| [BERTić](https://huggingface.co/classla/bcms-bertic)                   | hr500k | 0.925 |
+| **XLM-R-BERTić**                                                     |  hr500k | 0.927 |
+|   XLM-R-SloBERTić                                                      | hr500k | 0.923 |
+| XLM-Roberta-Large                                                      |hr500k  | 0.919 |
+| [crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloengual-bert) | hr500k | 0.918 |
+| XLM-Roberta-Base                                                       | hr500k | 0.903 |
+
+
 ## Sentiment regression
 
 [ParlaSent dataset](https://huggingface.co/datasets/classla/ParlaSent) was used to evaluate sentiment regression for Bosnian, Croatian, and Serbian languages.