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alexandrainst
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da-offensive-detection-base

Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Inference Endpoints
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@@ -15,8 +15,8 @@ The model achieves second place on a test set consisting of 500 Facebook comment
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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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  | [`Guscode/DKbert-hatespeech-detection`](https://huggingface.co/Guscode/DKbert-hatespeech-detection) | 84.91% | 43.69% | 57.69% |
 
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  | **Model** | **Precision** | **Recall** | **F1-score** |
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  | :-------- | :------------ | :--------- | :----------- |
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+ | [`alexandrainst/electra-small-offensive-text-detection-da`](https://huggingface.co/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` (this) | 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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  | [`Guscode/DKbert-hatespeech-detection`](https://huggingface.co/Guscode/DKbert-hatespeech-detection) | 84.91% | 43.69% | 57.69% |