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README.md
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## Model description
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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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Loss = theta * Custom loss + (1 - theta) * CrossEntropy
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(theta = 0.3)
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## Intended uses & limitations
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More information needed
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