Closed saparina closed 9 months ago
After fixing the bugs mentioned in #14 (downgrade
src/semantic_parser/learn_framework.py
L206-225 andmoz_sp/__init__.py
restore_clause_order function), I got the following results from your pretrained checkpoints:E-SM EXE 70.0 67.9 Do you know the reason for this difference? Could you please make the code compatible with your checkpoints (fix #14)?
why my accuracy j
After fixing the bugs mentioned in #14 (downgrade
src/semantic_parser/learn_framework.py
L206-225 andmoz_sp/__init__.py
restore_clause_order function), I got the following results from your pretrained checkpoints:E-SM EXE 70.0 67.9 Do you know the reason for this difference? Could you please make the code compatible with your checkpoints (fix #14)?
The experimental result I got is only 0.52. Did you just modify the error code and then use their checkpoint to get this result?
After fixing the bugs mentioned in #14 (downgrade
src/semantic_parser/learn_framework.py
L206-225 andmoz_sp/__init__.py
restore_clause_order function), I got the following results from your pretrained checkpoints:E-SM EXE 70.0 67.9 Do you know the reason for this difference? Could you please make the code compatible with your checkpoints (fix #14)?
could you please tell how to fix the bug? I would greatly appreciate your urgent assistance with this matter.
@CannonWWW Sorry, I don't remember the details but I think I just followed this advice: https://github.com/salesforce/TabularSemanticParsing/issues/14#issuecomment-790586474
src/semantic_parser/learn_framework.py
L206-225 andmoz_sp/__init__.py
restore_clause_order function), I got the following results from your pretrained checkpoints: E-SMDo you know the reason for this difference? Could you please make the code compatible with your checkpoints (fix #14)?