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Create Text2RealProblem class for regression-based problems #1748
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Thanks @gabegrand !! |
afrozenator
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PiperOrigin-RevId: 281802220
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Much appreciated @afrozenator! |
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A variety of NLP problems involve training regression models to predict continuous-valued ratings from text (e.g., sentiment scoring). While T2T supports several
REALmodalities, there is no base class for regression-based text problems. This PR introduces aText2RealProblemthat is analogous to the existingText2ClassProblem, but for regression problems.The class also supports multitask regression via the
ntasksproperty, which allows for the regression target to be an n-dimensional float vector.Note that this PR doesn't contribute any additional problems to the registry (for now), since the datasets I've been training on are not public. That said, this base class makes it very straightforward to define a custom text regression problem, and I hope that it will be useful for other T2T users.
@lukaszkaiser This PR is very similar to the Gist you reviewed from me -- please let me know what you think!