Skip to content
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

data inconsistency between pretraining model data and proteinnet #21

Open
zzhang-QSI opened this issue Sep 18, 2019 · 0 comments
Open

Comments

@zzhang-QSI
Copy link

Hi, alquraishi

I tried to train the model using CASP12 tfrecord data download from proteinnet: https://sharehost.hms.harvard.edu/sysbio/alquraishi/proteinnet/tfrecords/casp12.tar.gz
I found the training_90 data is different from pretrained model (CASP12)
RGN12/runs/CASP12/ProteinNet12Thinning90
https://sharehost.hms.harvard.edu/sysbio/alquraishi/rgn_models/RGN12.tar.gz

may I know which data is better?
Using proteinnet data , I found numEvoEntries change to 21 instead of 42, and the training loss always nan.

Looking forward to hearing from you.
Thank you

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant