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@@ -31,8 +31,14 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
 
 
 
 
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  ## Intended uses & limitations
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  More information needed
 
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  ## Model description
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+ Loss is a combination of:
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+ - CrossEntropy
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+ - Custom loss which can be seen as a length penalty: +1 if predicted text length > 12, else 0
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+
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+ Loss = theta * Custom loss + (1 - theta) * CrossEntropy
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+ (theta = 0.3)
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+
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  ## Intended uses & limitations
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  More information needed