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Thank you for providing the valuable work and benchmark!
I have a question for reproducibility:
When I re-run the implementation of vanilla BERT followed your script, BERT trained with AGNews-FL achieved 91.25 (ID Acc.). However, Table 3 in the paper, the ID classification accuracy for the vanilla BERT is reported by 85.58. I didn't modify the code, and I ran the script as it is. Which result is correct? Or is the dataset you uploaded to Google Drive different from when you wrote the paper?
Best,
The text was updated successfully, but these errors were encountered:
Thank you for providing the valuable work and benchmark!
I have a question for reproducibility:
Best,
The text was updated successfully, but these errors were encountered: