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roberta-base

Feature Extraction
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roberta
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Use only english language in table

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@@ -77,10 +77,9 @@ We evaluated the model on [Russian Super Glue](https://russiansuperglue.com/) de
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  The best result in each task is marked in bold.
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  All models have the same size except the distilled version of DeBERTa.
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- | Модель | RCB | PARus | MuSeRC | TERRa | RUSSE | RWSD | DaNetQA | Результат |
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  |------------------------------------------------------------------------|-----------|--------|---------|-------|---------|---------|---------|-----------|
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  | [vk-deberta-distill](https://huggingface.co/deepvk/deberta-v1-distill) | 0.433 | 0.56 | 0.625 | 0.59 | 0.943 | 0.569 | 0.726 | 0.635 |
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- | | | | | | | | | |
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  | [vk-roberta-base](https://huggingface.co/deepvk/roberta-base) | 0.46 | 0.56 | 0.679 | 0.769 | 0.960 | 0.569 | 0.658 | 0.665 |
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  | [vk-deberta-base](https://huggingface.co/deepvk/deberta-v1-base) | 0.450 |**0.61**|**0.722**| 0.704 | 0.948 | 0.578 |**0.76** |**0.682** |
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  | [vk-bert-base](https://huggingface.co/deepvk/bert-base-uncased) | 0.467 | 0.57 | 0.587 | 0.704 | 0.953 |**0.583**| 0.737 | 0.657 |
 
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  The best result in each task is marked in bold.
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  All models have the same size except the distilled version of DeBERTa.
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+ | Model | RCB | PARus | MuSeRC | TERRa | RUSSE | RWSD | DaNetQA | Score |
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  |------------------------------------------------------------------------|-----------|--------|---------|-------|---------|---------|---------|-----------|
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  | [vk-deberta-distill](https://huggingface.co/deepvk/deberta-v1-distill) | 0.433 | 0.56 | 0.625 | 0.59 | 0.943 | 0.569 | 0.726 | 0.635 |
 
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  | [vk-roberta-base](https://huggingface.co/deepvk/roberta-base) | 0.46 | 0.56 | 0.679 | 0.769 | 0.960 | 0.569 | 0.658 | 0.665 |
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  | [vk-deberta-base](https://huggingface.co/deepvk/deberta-v1-base) | 0.450 |**0.61**|**0.722**| 0.704 | 0.948 | 0.578 |**0.76** |**0.682** |
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  | [vk-bert-base](https://huggingface.co/deepvk/bert-base-uncased) | 0.467 | 0.57 | 0.587 | 0.704 | 0.953 |**0.583**| 0.737 | 0.657 |