Skip to content

Degree with T5 #11

@gonconist

Description

@gonconist

Hello,

I am running some tests with t5-small, and t5-base as pretrained model for Degree ED, but its behavior during generation is strange. More specifically, the generated text seems to be in a different language than English, and sometimes it is concatenated with the word "is" that is present in the template 'Event trigger is <Trigger>', for example: pred_texts = ['Event trigger isurmatoarele.', 'Event trigger is imobil.', 'Event trigger is betreut.', ... ].

Looking at the source files for Degree, I have noticed that with you've already experimented with t5 as encoder model. Do you have any suggestions as to how configure the generation/decoding steps for t5 to properly function?

Thanks!

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions