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You mentioned "
When training with policy gradient (pg)
you may need a reversed model
the reversed model is also trained by cornell movie-dialogs dataset, but with source and target reversed.
"
Except downloading pre-trained reversed model, could you please tell how to rain it?
Thank you a lot.
The text was updated successfully, but these errors were encountered:
For instance, if a sample in training set is ('How is the weather?', 'It's sunny.').
To train a reversed model, you need to reverse the data into ('It's sunny.', 'How is the weather?').
That means you need to predict the former sentence using the later sentence.
You mentioned "
When training with policy gradient (pg)
you may need a reversed model
the reversed model is also trained by cornell movie-dialogs dataset, but with source and target reversed.
"
Except downloading pre-trained reversed model, could you please tell how to rain it?
Thank you a lot.
The text was updated successfully, but these errors were encountered: