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Appreciating for sharing your source code, two minor issues are waiting for your response.
What is the role of validation set comprised of the target domain data playing?
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.
The text was updated successfully, but these errors were encountered:
The target set is the test set in DA, it is also used for domain alignment in training.
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
I found that there is a validation process that uses labelled target dataset for the model selection. Is it suitable for unsupervised domain adaptation?
After checking the parameters in my trainAW/AD.sh file, it is same as the git repo.
Appreciating for sharing your source code, two minor issues are waiting for your response.
What is the role of validation set comprised of the target domain data playing?
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.
The text was updated successfully, but these errors were encountered: