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README.md
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@@ -15,7 +15,7 @@ The model achieves SOTA on a test set consisting of 500 Facebook comments annota
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| **Model** | **Precision** | **Recall** | **F1-score** |
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| :-------- | :------------ | :--------- | :----------- |
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| `alexandrainst/electra-small-offensive-text-detection-da` | 85.45% | 91.26% | **88.26%** |
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| [`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% |
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| [`A-ttack`](https://github.com/ogtal/A-ttack) | **99.17%** | 58.25% | 73.39% |
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| [`DaNLP/da-electra-hatespeech-detection`](https://huggingface.co/DaNLP/da-electra-hatespeech-detection) | 92.19% | 57.28% | 70.66% |
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| **Model** | **Precision** | **Recall** | **F1-score** |
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| :-------- | :------------ | :--------- | :----------- |
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| `alexandrainst/electra-small-offensive-text-detection-da` (this) | 85.45% | 91.26% | **88.26%** |
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| [`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% |
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| [`A-ttack`](https://github.com/ogtal/A-ttack) | **99.17%** | 58.25% | 73.39% |
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| [`DaNLP/da-electra-hatespeech-detection`](https://huggingface.co/DaNLP/da-electra-hatespeech-detection) | 92.19% | 57.28% | 70.66% |
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