BBQ RoBERTa Base Reproducibility Help

[gsgoncalves]

Hello,

Congratulations on this great work!

I am reaching out for pointers as I am unable to reproduce the accuracy results from the paper while using RoBERTa-Base.

I finetuned the RoBERTa-Base model on the RACE dataset, with the LRQA codebase. Next, I followed the instructions in the previous link to evaluate on BBQ. However, I obtained a 51.64%  average accuracy across categories, which is shy of the 61.4% reported in the paper.

I used the same parameters reported in the paper:

• Total Batch Size: 16 (The total batch size is simulated with a batch size of 4 and a gradient accumulation of 4 steps)
• Learning Rate: 1e-5
• Nr Epochs: 3
• Max Token Length: 512

I am using the libraries and respective versions in the requirements.txt file.

• transformers==4.5.2
• tokenizers==0.10.1
• datasets==1.1.2

Do you have any clues as to why I am not able to obtain the same results in terms of accuracy while running the instructions of LRQA? Any pointers would be much appreciated!

Thank you! Gustavo

[zphang]

Hi, let me take a look into this.