Comments (4)
hujian233
commented on May 14, 2024
你好，我是软件学院胡剑。我已收到你的邮件，尽快给你回复。
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gaotianyu1350
commented on May 14, 2024
Hi,
You are right that num_k here is a dummy arg. The number of examples is controlled by the dataset you use (for example, our provided preprocessing examples process all the datasets as k=16). Num_sample has a different meaning---it designates how many times of sampling we do for averaging in-context examples for inference.
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dyukha
commented on May 14, 2024
@gaotianyu1350 , thanks for the reply! Maybe it makes sense to remove num_k? It's also used in examples, which makes it look that the argument actually matters, which can lead to some undesired consequences for a user.
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gaotianyu1350
commented on May 14, 2024
Hi we decide to keep num_k because it is used in logging and searching for a specific run (see our explanation in README about num_k. But thanks for pointing it out!
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Related Issues (20)
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- Average the logits of 16 demonstrations HOT 1
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- Bug in tools/ensemble.py/get_labels HOT 2
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- lm_bff.json文件中相互关联的参数："inspired_templates", "replace_token_map_list"如何设置？ HOT 1
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