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@@ -9,28 +9,12 @@ The model should be used to produce relevance and specificity of the last messag
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  It is pretrained on corpus of dialog data from social networks and finetuned on [tinkoff-ai/context_similarity](https://huggingface.co/tinkoff-ai/context_similarity).
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  The performance of the model on validation split [tinkoff-ai/context_similarity](https://huggingface.co/tinkoff-ai/context_similarity) (with the best thresholds for validation samples):
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- <table>
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- <thead>
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- <tr>
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- <td colspan="2"><center>relevance</center></td>
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- <td colspan="2"><center>specificity</center></td>
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- </tr>
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- </thead>
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- <tbody>
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- <tr>
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- <td><center>f0.5</center></td>
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- <td><center>roc-auc</center></td>
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- <td><center>f0.5</center></td>
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- <td><center>roc-auc</center></td>
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- </tr>
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- <tr>
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- <td><center>0.82</center></td>
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- <td><center>0.74</center></td>
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- <td><center>0.81</center></td>
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- <td><center>0.8</center></td>
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- </tr>
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- </tbody>
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- </table>
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  The model can be loaded as follows:
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  It is pretrained on corpus of dialog data from social networks and finetuned on [tinkoff-ai/context_similarity](https://huggingface.co/tinkoff-ai/context_similarity).
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  The performance of the model on validation split [tinkoff-ai/context_similarity](https://huggingface.co/tinkoff-ai/context_similarity) (with the best thresholds for validation samples):
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+ ```
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+ | | f0.5 | ROC AUC |
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+ |:------------|-------:|----------:|
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+ | relevance | 0.82 | 0.74 |
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+ | specificity | 0.81 | 0.8 |
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+ ````
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The model can be loaded as follows:
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