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author | Kawrakow <48489457+ikawrakow@users.noreply.github.com> | 2024-01-21 14:42:44 +0200 |
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committer | GitHub <noreply@github.com> | 2024-01-21 14:42:44 +0200 |
commit | 7dcbe39d36b76389f6c5cd3b151928472b7e22ff (patch) | |
tree | d0b13b66cdd5046d5767b4791d183bed3e97c61c /unicode.h | |
parent | 726c0fa9a2da976e9c5d5c51e185d9dd453fc9e5 (diff) |
Add ability to evauate multiple choice tasks (#5047)
* TruthfulQA: 1st attempt, does not look like it is working
The same implementation can be used for HellaSwag as well,
so I converted a HellaSwag validation dataset to the binary
format used here and tested with that. The score is only
around 50, so something is not quite right.
* TruthfulQA: works but the result is bad
I know it works because if I convert the HellaSwag validation
data to the binary format used in the truthful_qa_score() function
I get the exact same result as from the hellaswag_score() function.
But I guess, the questions are tricky and the way I have done
the combination of question + answer is very likely not the best.
The TruthfulQA validation dataset contains 817 questions, with
random chance result around 19%. With this version I get
29.1% for Mistral-7B and 55.2% for Mistral-7B-Instruct-v0.2.
The HF leader board results for these two models are
42.2% and 68.3%, respectively.
* TruthfulQA: fix random sample
* TruthfulQA: prepare tasks in parallel for large test datasets
* Rename truthful_qa to multiple_choice
* Make MSVC happy
I had forgotten that MSVC does not make constexpr's available
inside a lambda.
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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'unicode.h')
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