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, thanks for releasing the pre-trained model and the code. Could you share the scripts used for fine-tuning on ESOL and FreeSolv data?
I am more interested in the hyper-parameters. I made the scripts similar to the Lipophilicity script but got way higher RMSE (e.g., more than 1 in case of FreeSolv).
Thanks.
The text was updated successfully, but these errors were encountered:
could the RMSE's in the paper have been computed on the standardized values rather than the original ones?.. I think that was also the issue in another (BARTSmiles) llm paper that showed order-of-magnitude improvements in regression tasks.
for example, in the MolFormer repositories' data the lipophilicity values seem to be standardized (centered around 0 and all with ~10 decimal points) whereas the MoleculeNet datasets are in the 0-7 range and fewer decimal points. clarification around the regression datasets' treatment would be very appreciated!
Hi, thanks for releasing the pre-trained model and the code. Could you share the scripts used for fine-tuning on ESOL and FreeSolv data?
I am more interested in the hyper-parameters. I made the scripts similar to the Lipophilicity script but got way higher RMSE (e.g., more than 1 in case of FreeSolv).
Thanks.
The text was updated successfully, but these errors were encountered: