mlcommons / algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
https://mlcommons.org/en/groups/research-algorithms/
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Dev -> Main #757

Closed priyakasimbeg closed 3 months ago

priyakasimbeg commented 3 months ago

Sample held out workloads to scoring/held_out_workloads_algoperf_v05.json. Target fixes for wmt variants. Update bsz for imagenet gelu and silu variants in baseline and target setting algorithms.

github-actions[bot] commented 3 months ago

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