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@@ -4,4 +4,21 @@ datasets:
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  - tay-yozhik/NaturalText
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  language:
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  - ru
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - tay-yozhik/NaturalText
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  language:
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  - ru
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+ ---
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+
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+ # NaturalRoBERTa
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+
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+ This is a pre-trained model of type [RoBERTa](https://arxiv.org/abs/1907.11692).
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+ NaturalRoBERTa is built on a dataset obtained from open sources: three news sub-corpuses [Taiga](https://github.com/TatianaShavrina/taiga_site) (Lenta.ru, Interfax, N+1) and [Russian Wikipedia texts](https://ru.wikipedia.org/).
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+
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+ # Evaluation
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+
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+ This model was evaluated on [RussianSuperGLUE tests](https://russiansuperglue.com/):
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+ | Task | Result | Metrics |
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+ |-------|----------|---------|
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+ | LiDiRus | 0,0 | Matthews Correlation Coefficient |
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+ | RCB | 0,217 / 0,484 | F1 / Accuracy |
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+ | PARus | 0,498 | Accuracy |
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+ | TERRa | 0,487 | Accuracy |
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+ | RUSSE | 0,587 | Accuracy |
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+ | RWSD | 0,669 | Accuracy |