Try an Advantage Estimator When OPSD Collapses
willccbb · x · 2026-07-11
The author shares a practical troubleshooting tip for tackling **model collapse** during **OPSD** training: - When the training process repeatedly collapses, first try **removing the hinted logprob ratio**. - Then, **replace it with an advantage estimator**. Though brief, this provides a clear fault localization method and alternative solution, serving as highly actionable debugging advice for training.
More from Research
- Draft paper uses Markov-chain eigenfunctions to build partitions and speed up sampling — michaelchchoi · 2026-07-21
- Autoresearch proposes packaging ML runs as studies with questions, analysis, and code diffs — morgymcg · 2026-07-21
- GitHub repo adds lightweight ternary QAT for Prism-ML Bonsai models — terminoid_ · 2026-07-21
- Qdrant co-hosts a Munich meetup on search, retrieval, and agentic RAG on July 23 — qdrant_engine · 2026-07-21
- GigaChat Audio targets long-form audio grounding with timestamps across 120-minute inputs — ai-sage · 2026-07-21
- Paper models Transformer components as stochastic geometry and tests five architectures — Zhihua Liang · 2026-07-21