exp(glm45air): loss ablation configs (dppo / ipo / kimi-k1.5 scaffold)#2996
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…affold) Based on configs/glm45air/swe.toml, ablating [trainer.loss]: - swe_dppo.toml: DefaultLossConfig, symmetric dppo_mask_low=high=0.1 - swe_ipo.toml: IPOLossConfig, ipo_threshold=0.1 - swe_kimi.toml: CustomLossConfig scaffold — Kimi k1.5 loss is NOT implemented in prime-rl; needs a custom loss fn before it runs. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Loss-function ablations on
configs/glm45air/swe.toml(GLM-4.5-Air on scaleswe, eval on SWE-Bench-Verified). Each config only changes[trainer.loss](+ its own wandb name / job_name / sandbox label).configs/glm45air/swe_dppo.tomltype="default"), symmetricdppo_mask_low=high=0.1configs/glm45air/swe_ipo.tomltype="ipo"),ipo_threshold=0.1configs/glm45air/swe_kimi.tomltype="custom")import_pathpoints at akimi_k15_lossthat must be added firstDPPO and IPO are first-class loss types in
src/prime_rl/trainer/rl/loss.py(default_loss_fn/ipo_loss_fn) — pure config. Kimi k1.5 needs a newLossInputs→LossOutputsfn (config wired via thecustomloss type, left as a flagged TODO).