Update README.md

README.md

@@ -27,6 +27,15 @@ widget:
 
 This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) for Named Entity Recognition for Danish, Norwegian (both Bokmål and Nynorsk), Swedish, Icelandic and Faroese. It has been fine-tuned on the concatenation of [DaNE](https://aclanthology.org/2020.lrec-1.565/), [NorNE](https://arxiv.org/abs/1911.12146), [SUC 3.0](https://spraakbanken.gu.se/en/resources/suc3) and the Icelandic and Faroese parts of the [WikiANN](https://arxiv.org/abs/1902.00193) dataset.
 
+The model will predict the following four entities:
+
+| **Tag** | **Name** | **Description** |
+| :------ | :------- | :-------------- |
+| `PER` | Person | The name of a person (e.g., *Peter* and *Mohammed*) |
+| `LOC` | Location | The name of a location (e.g., *Germany* and *The Red Square*) |
+| `ORG` | Organisation | The name of an organisation (e.g., *Netto* and *Landsbankinn*) |
+| `MISC` | Miscellaneous | A named entity of a different kind (e.g., *British Pound* or *Mona Lisa*) |
+
 
 ## Performance
 
@@ -39,6 +48,7 @@ The following is the Micro-F1 NER performance on Scandinavian NER test datasets,
 | RecordedFuture/Swedish-NER | 64.09 ± 0.97 | 61.74 ± 0.50 | 56.67 ± 0.79 | 66.60 ± 0.27 | 34.54 ± 0.73 | 42.16 ± 0.83 | **53.32 ± 0.69** |
 | Maltehb/danish-bert-botxo-ner-dane | 69.25 ± 1.17 | 60.57 ± 0.27 | 35.60 ± 1.19 | 38.37 ± 0.26 | 21.00 ± 0.57 | 27.88 ± 0.48 | **40.92 ± 0.64** |
 | Maltehb/-l-ctra-danish-electra-small-uncased-ner-dane | 70.41 ± 1.19 | 48.76 ± 0.70 | 27.58 ± 0.61 | 35.39 ± 0.38 | 26.22 ± 0.52 | 28.30 ± 0.29 | **39.70 ± 0.61** |
+| radbrt/nb\_nocy\_trf | 56.82 ± 1.63 | 68.20 ± 0.75 | 69.22 ± 1.04 | 31.63 ± 0.29 | 20.32 ± 0.45 | 12.91 ± 0.50 | **38.08 ± 0.75** | 
 
 
 ## Training procedure