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@@ -16,9 +16,9 @@ This generation model is based on [sberbank-ai/rugpt3medium_based_on_gpt2](https
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  The model was trained with context size 3
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- On a validation set we calculated metrics introduced in [this paper](https://arxiv.org/pdf/2001.09977.pdf):
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- - Sensibleness: Operators are asked whether model's response makes sense given the context
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- - Specificity: Operators are asked whether model's response is specific for given context, in other words we don't want our model to give general and boring responses
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  - SSA which is the average of two metrics above (Sensibleness Specificity Average)
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  | | sensibleness | specificity | SSA |
 
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  The model was trained with context size 3
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+ On a private validation set we calculated metrics introduced in [this paper](https://arxiv.org/pdf/2001.09977.pdf):
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+ - Sensibleness: Crowdsourcers were asked whether model's response makes sense given the context
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+ - Specificity: Crowdsourcers were asked whether model's response is specific for given context, in other words we don't want our model to give general and boring responses
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  - SSA which is the average of two metrics above (Sensibleness Specificity Average)
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  | | sensibleness | specificity | SSA |