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Research →Model Card
A structured document that describes a model's intended use, evaluation, limitations, and other important context.
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English
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A model card is documentation designed to communicate how a machine-learning model was developed, evaluated, and intended to be used. The concept encourages reporting beyond a single performance score.
How it works
A useful model card may describe model purpose, training context, evaluation datasets, subgroup performance, limitations, ethical considerations, and conditions under which the model should not be used. The exact format varies by organization and model type.
Why it matters
Model cards support transparency and responsible deployment by making important assumptions and limitations visible to users and integrators. They complement broader artifacts such as System Card and dataset documentation.
Related concepts
SOURCES
Sources
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Model Cards for Model ReportingGoogle / arXivOpen source ↗
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