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
Documentation of training on Emotion #6
Comments
Hey Chirag, Firstly, thanks a lot for the feedback. Our T5 model is jointly trained on Squad 2.0, CoQa, CNN/DailyMail summarisation and GoEmotions. We use it for the qa, summarisation and emotion methods. You can find the GoEmotions data and description here. We didn't really know how much people would care about seeing more technical details about the models - so we haven't included them yet. It sounds like you'd find it helpful to know more in-depth details about the models used for tasks. Your feedback about what you think would be useful to have is very helpful! Kristo |
Hey Kristo, Thanks a lot for sharing the link of GoEmotions and for quick response as well. :) Assuming it would be very helpful if you share the resources, mainly for down-stream task training, so I can customise the data as required. I am also following your documentation, but could not find enough details. Chirag Sanghvi |
Hi Chirag -- we're starting work on some more advanced documentation that covers technical details + resources for our included tasks. Thanks again for the feedback! Owen |
Hey Owen, I am glad to hear this. looking forward to it :) Many many thanks. Cheers 👍 |
Hi,
First of all thanks a ton for this repository, the results that I am looking for is quite promising without any down-stream task training. :)
Are you planning to publish the paper/documentation on the data T5 is trained for emotion ?
Best,
Chirag Sanghvi
The text was updated successfully, but these errors were encountered: