feat(validate): add precision, recall, and F1 metrics#2568
Merged
rwightman merged 1 commit intohuggingface:mainfrom Sep 4, 2025
Merged
feat(validate): add precision, recall, and F1 metrics#2568rwightman merged 1 commit intohuggingface:mainfrom
rwightman merged 1 commit intohuggingface:mainfrom
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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@ha405 looks good, I haven't tested yet, but will when I'm back from vacation in a week and a bit. Did you look at train script? Could be added there but needs extra work to cover distributed case... |
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hi, I looked into train.py and opened a new request #2574 |
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Overview
This PR adds optional support for calculating Precision, Recall, and F1-score in
validate.py.These metrics provide a more nuanced view of model performance than Top-k accuracy, especially for datasets with class imbalance.
Changes
--metrics-avgto select averaging method (weighted,macro,micro).scikit-learnfor robust precision/recall/F1 calculations (soft dependency).Closes #2506