Update README.md

README.md

@@ -13,13 +13,14 @@ This model is a fine-tuned version of [Maltehb/aelaectra-danish-electra-small-ca
 
 The model achieves SOTA on a test set consisting of 500 Facebook comments annotated by two people, of which 41.2% were labelled as offensive:
 
-| **Model** | **Precision** | **Recall** | **F1-score** |
-| :-------- | :------------ | :--------- | :----------- |
-| `alexandrainst/electra-small-offensive-text-detection-da` (this) | 85.45% | 91.26% | **88.26%** |
-| [`alexandrainst/xlm-roberta-base-offensive-text-detection-da`](https://huggingface.co/alexandrainst/xlm-roberta-base-offensive-text-detection-da) | 83.48% | **93.20%** | 88.07% |
-| [`A-ttack`](https://github.com/ogtal/A-ttack) | **99.17%** | 58.25% | 73.39% |
-| [`DaNLP/da-electra-hatespeech-detection`](https://huggingface.co/DaNLP/da-electra-hatespeech-detection) | 92.19% | 57.28% | 70.66% |
-| [`Guscode/DKbert-hatespeech-detection`](https://huggingface.co/Guscode/DKbert-hatespeech-detection) | 84.91% | 43.69% | 57.69% |
+| **Model** | **Precision** | **Recall** | **F1-score** | **F2-score** |
+| :-------- | :------------ | :--------- | :----------- | :----------- |
+| [`alexandrainst/xlm-roberta-base-offensive-text-detection-da`](https://huggingface.co/alexandrainst/xlm-roberta-base-offensive-text-detection-da) | 74.81% | **89.77%** | **81.61%** | **86.32%** |
+| `alexandrainst/electra-small-offensive-text-detection-da` (this) | 74.13% | 89.30% | 81.01% | 85.79% |
+| [`A-ttack`](https://github.com/ogtal/A-ttack) | **97.32%** | 50.70% | 66.67% | 56.07% |
+| [`DaNLP/da-electra-hatespeech-detection`](https://huggingface.co/DaNLP/da-electra-hatespeech-detection) | 86.43% | 56.28% | 68.17% | 60.50% |
+| [`Guscode/DKbert-hatespeech-detection`](https://huggingface.co/Guscode/DKbert-hatespeech-detection) | 75.41% | 42.79% | 54.60% | 46.84% |
+
 
 ## Training procedure