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feat(examples): release an example implementation of T-V reward model. #2

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merged 4 commits into from
Jul 4, 2024

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Description

We provide an example implementation of training a preference predictor reward model on our dataset. This model translates abstract human values into quantifiable and optimizable scalar metrics. Consequently, the reward model can partially replace human evaluators in assessing outputs from video generation models and act as a supervisory signal to enhance the performance of these models.

Motivation and Context

Why is this change required? What problem does it solve?
If it fixes an open issue, please link to the issue here.
You can use the syntax close #15213 if this solves the issue #15213

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  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds core functionality)
  • Breaking change (fix or feature that would cause existing functionality to change)
  • Documentation (update in the documentation)

Checklist

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  • My change requires a change to the documentation.
  • I have updated the tests accordingly. (required for a bug fix or a new feature)
  • I have updated the documentation accordingly.
  • I have reformatted the code using make format. (required)
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@calico-1226 calico-1226 added the enhancement New feature or request label Jul 4, 2024
@calico-1226 calico-1226 self-assigned this Jul 4, 2024
@calico-1226 calico-1226 merged commit d0b8344 into PKU-Alignment:main Jul 4, 2024
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@calico-1226 calico-1226 deleted the rm branch July 4, 2024 19:06
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