ucinlp / autoprompt

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

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Question about code running on SNLI dataset

DEAWU opened this issue · comments

commented

Hi, thank you so much for such an informative code.

I'm now trying to run this code with other NLI datasets (like MNLI, SNLI). But they all performed very poorly in the label_search part, and the loss was difficult to converge, which also result in a poor performance in the creat_trigger part (acc≈0.3). But before this, the results on the (short version) SICK-E dataset are consistent with those mentioned in your paper.

I would like to ask if this code can support me to find suitable labels for the MNLI dataset. If so, do you have any recommendations for the setting of hyperparameters(e.g. lr)? In addition, I use the bert-base-cased model.

Thanks a lot.