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
Hi @nikhilranjan7,
presumably you are using one of the seq2seq-based models, correct? If you are directly using them through a pipeline (and without our provided scripts), then there is a good chance that they do not produce the output that you expected. As you might find in our scripts, we have to perform extensive post-processing to combat model hallucinations.
In addition, I want to point to #9, where I also mention that we found some issues in the evaluation setup of our seq2seq-based models that overestimate their performance.
As a "temporary fix", I can highly recommend to use the tagging-based models, which (at a slightly lower performance) perform more consistently. Let me know if you have any further questions or I got some of the assumptions wrong.
Hi, I am trying to use this model for inference but the plain text tagging comes out to be very weird.
Input:
"Hello, today is Monday but not Tuesday, maybe tomorrow"
Output:
'Hello, today </time x3> is </ timex 3>, maybe this AFTER now type + - today like $ ',
Is this expected or am I missing something ?
The text was updated successfully, but these errors were encountered: