New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
stage 2 training problem #180
Comments
Typically, the four datasets are used together (even if GECToR or some seq2seq models). |
@gotutiyan is right. We used all four datasets together by mixing them (concatenating and shuffling). |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
In stage 2, four datasets are trained as described in the paper. Maybe it is a stupid question: will the four datasets be trained all together, or will be trained one by one? If they are trained all together, can the 'cat' command simply be used?
Looking forward to your reply.
The text was updated successfully, but these errors were encountered: