MLE-Bench Lite

A lightweight machine-learning competition benchmark that measures whether models can iteratively train, evaluate, and improve ML systems in low-resource settings.

ModelsModels with a result.4
Top resultBest result on this benchmark.—
Top-3 spreadPoints from first to third.—
YearYear of release.—

Results

4 results
#ModelResultThe score from the source.
—MiniMax M2.766.6%
—Sage-A1.565.2%