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MoE Sparsity Scaling — Checkpoints and Logs

Artifacts for Selection Bias in Validation Loss Distorts Small-Scale Mixture-of-Experts Sparsity Studies.

  • checkpoints/ — 42 runs. Optimizer state removed; model weights, config and metadata retained. Verified to reproduce the reported validation losses exactly.
  • logs/ — training logs and config snapshots for every run.

Naming: fineweb_edu_N{experts}_aux{coef}_cap{factor}[_frac{fraction}]_seed{seed}

Code: https://github.com/taeyoung1/moe-sparsity-scaling

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