You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Dec 29, 2022. It is now read-only.
Reformulator Training
We first train reformulator from a model pretrained on UN and Paralex datasets. It should take a week on a single P100 GPU to reach ~42 F1 score on SearchQA's dev set.
@rodrigonogueira4 How to make the model (pretrained on UN and Paralex datasets) from scratch on a different dataset ?
The text was updated successfully, but these errors were encountered:
kaustumbh7
changed the title
Reformulator pretrained on UN and Paralex datasets
Model pretrained on UN and Paralex datasets
Mar 15, 2019
Sign up for freeto subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Reformulator Training
We first train reformulator from a model pretrained on UN and Paralex datasets. It should take a week on a single P100 GPU to reach ~42 F1 score on SearchQA's dev set.
@rodrigonogueira4 How to make the model (pretrained on UN and Paralex datasets) from scratch on a different dataset ?
The text was updated successfully, but these errors were encountered: