-
Notifications
You must be signed in to change notification settings - Fork 58
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
Evaluation loses temporal information #19
Comments
Hi, the vanilla Transformer (which this repository implements) does not incorporate information across data points so the closest thing you could do with this model is to combine multiple input sentences and treat it as a single input. Recent work by Kossen et al. attempts to apply self-attention across data points, you might wanna have a look! |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hey guys,
Thanks for the repo, when I am evaluating the model,
input_sentence_i
does not seem to be influenced byinput_sentence_i-1
. Is it possible to run the model in inference mode but so that it retains memory of the previous sentences you entered?Thanks
The text was updated successfully, but these errors were encountered: