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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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@@ -17,7 +17,7 @@ The model achieves SOTA on a test set consisting of 600 Facebook comments annota
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  | :-------- | :------------ | :--------- | :----------- | :----------- |
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  | `alexandrainst/xlm-roberta-base-offensive-text-detection-da` (this) | 74.81% | **89.77%** | **81.61%** | **86.32%** |
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  | [`alexandrainst/electra-small-offensive-text-detection-da`](https://huggingface.co/alexandrainst/electra-small-offensive-text-detection-da) | 74.13% | 89.30% | 81.01% | 85.79% |
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- | [`A-ttack`](https://github.com/ogtal/A-ttack) | **97.32%** | 50.70% | 66.67% | 56.07% |
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  | [`DaNLP/da-electra-hatespeech-detection`](https://huggingface.co/DaNLP/da-electra-hatespeech-detection) | 86.43% | 56.28% | 68.17% | 60.50% |
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  | [`Guscode/DKbert-hatespeech-detection`](https://huggingface.co/Guscode/DKbert-hatespeech-detection) | 75.41% | 42.79% | 54.60% | 46.84% |
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  | :-------- | :------------ | :--------- | :----------- | :----------- |
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  | `alexandrainst/xlm-roberta-base-offensive-text-detection-da` (this) | 74.81% | **89.77%** | **81.61%** | **86.32%** |
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  | [`alexandrainst/electra-small-offensive-text-detection-da`](https://huggingface.co/alexandrainst/electra-small-offensive-text-detection-da) | 74.13% | 89.30% | 81.01% | 85.79% |
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+ | [`A&ttack`](https://github.com/ogtal/A-ttack) | **97.32%** | 50.70% | 66.67% | 56.07% |
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  | [`DaNLP/da-electra-hatespeech-detection`](https://huggingface.co/DaNLP/da-electra-hatespeech-detection) | 86.43% | 56.28% | 68.17% | 60.50% |
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  | [`Guscode/DKbert-hatespeech-detection`](https://huggingface.co/Guscode/DKbert-hatespeech-detection) | 75.41% | 42.79% | 54.60% | 46.84% |
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