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@@ -95,7 +95,7 @@ The model was evaluated on a test set of 199,046 annotated manifesto statements.
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  | | Accuracy | Top2_Acc | Top3_Acc | Precision| Recall | F1_Macro | MCC | Cross-Entropy |
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  |-------------------------------------------------------------------------------------------------------|:--------:|:--------:|:--------:|:--------:|:------:|:--------:|:---:|:-------------:|
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  [Sentence Model](https://huggingface.co/manifesto-project/xlm-roberta-political-56topics-sentence-2023a)| 0.57 | 0.73 | 0.81 | 0.49 | 0.43 | 0.45 | 0.55| 1.5 |
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- [Context Model](https://huggingface.co/manifesto-project/xlm-roberta-political-56topics-sentence-2023a) | 0.64 | 0.81 | 0.88 | 0.54 | 0.52 | 0.53 | 0.62| 1.15 |
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  ### Categories
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  | | Accuracy | Top2_Acc | Top3_Acc | Precision| Recall | F1_Macro | MCC | Cross-Entropy |
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  |-------------------------------------------------------------------------------------------------------|:--------:|:--------:|:--------:|:--------:|:------:|:--------:|:---:|:-------------:|
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  [Sentence Model](https://huggingface.co/manifesto-project/xlm-roberta-political-56topics-sentence-2023a)| 0.57 | 0.73 | 0.81 | 0.49 | 0.43 | 0.45 | 0.55| 1.5 |
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+ [Context Model](https://huggingface.co/manifesto-project/xlm-roberta-political-56topics-context-2023a) | 0.64 | 0.81 | 0.88 | 0.54 | 0.52 | 0.53 | 0.62| 1.15 |
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  ### Categories
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