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Validation set and precision #1

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zhyhan opened this issue Oct 19, 2019 · 2 comments
Closed

Validation set and precision #1

zhyhan opened this issue Oct 19, 2019 · 2 comments

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@zhyhan
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zhyhan commented Oct 19, 2019

Appreciating for sharing your source code, two minor issues are waiting for your response.

  1. What is the role of validation set comprised of the target domain data playing?

  2. When implementing the TCL model without change any parameters, the validation precision is dropped from 60.x to 3.x, as shown below, don't know how to resolve it.
    image

@sy565612345
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  1. The target set is the test set in DA, it is also used for domain alignment in training.
  2. I think your Ld loss is extremely small compared with that in my training log, please check whether you use the parameters in the given trainAW/AD.sh file

@zhyhan
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zhyhan commented Oct 19, 2019

  1. I found that there is a validation process that uses labelled target dataset for the model selection. Is it suitable for unsupervised domain adaptation?
  2. After checking the parameters in my trainAW/AD.sh file, it is same as the git repo.

@zhyhan zhyhan closed this as completed Oct 28, 2019
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