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Hi,
Thank you for your excellent paper and open source code.
But I re-train the default configuration code directly, and did not reproduce excellent performance.
Here is my result:
easy medium hard extra all
count 248 446 174 166 1034
===================== EXECUTION ACCURACY =====================
execution 0.867 0.776 0.644 0.524 0.735
====================== EXACT MATCHING ACCURACY =====================
exact match 0.879 0.787 0.644 0.500 0.739
What did I miss? I've run three times and it's almost the nearly result.
The text was updated successfully, but these errors were encountered:
This is expected. SmBoP has a mean accuracy on the development set of 0.739365 with a std of 0.005093 (n=7).
Note that this is probably a consequence of using RATSQL, see here.
Hi,
Thank you for your excellent paper and open source code.
But I re-train the default configuration code directly, and did not reproduce excellent performance.
Here is my result:
What did I miss? I've run three times and it's almost the nearly result.
The text was updated successfully, but these errors were encountered: