A fitted token-level loss weighting, optimized against known model accuracies, predicts held-out downstream task performance more accurately than mean validation loss on five of six benchmarks.
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Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law
A fitted token-level loss weighting, optimized against known model accuracies, predicts held-out downstream task performance more accurately than mean validation loss on five of six benchmarks.