Details on the evaluation with lighteval
#22
by
amaracani
- opened
Hello! I have some questions about the evaluation of models.
- for dataset siqa the metrics acc/acc_norm are not available in lighteval, just the ones from helm (exact_match, quasi_exact_match, prefix_exact_match prefix_quasi_exact_match), should I add the task or did you use the metrics from helm?
- for mmlu did you average the accuracies of tasks from the leaderboard, the ones here, or do the results come from the single task mmlu of lighteval?
- for arc are the results the average of arc-easy and arc-challenge?
- are all the tasks 0-shot or few-shots?
Thank you for any help :)
Hi! I've just added our full list of lighteval tasks to the repo: https://huggingface.co/datasets/HuggingFaceFW/fineweb/blob/main/lighteval_tasks.py, you should be able to reproduce our results with this file.
Everything was 0-shot.
Let me know if you still have other questions :)
I could perfectly reproduce the results, now I will use the same evaluation for my experiments.
Thank you very much, very helpful :)