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manifestoberta-xlm-roberta-56policy-topics-sentence-2023-1-1

Text Classification
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PyTorch
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xlm-roberta
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  ```
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  ## Model Performance
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  The model was evaluated on a test set of 199,046 annotated manifesto statements.
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  ### Overall
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-
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- | Accuracy | Top2_Acc | Top3_Acc | Precision| Recall | F1_Macro | MCC | Cross-Entropy |
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- |:--------:|:--------:|:--------:|:--------:|:------:|:--------:|:---:|:-------------:|
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- | 0.57 | 0.73 | 0.81 | 0.49 | 0.43 | 0.45 | 0.55| 1.5 |
 
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  ```
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+ ## Model Performance
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  ## Model Performance
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  The model was evaluated on a test set of 199,046 annotated manifesto statements.
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  ### Overall
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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 |