Non-record: Three Approaches + Lessons Learned (best: 1.1188 BPB)#1001
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ibarrajo wants to merge 1 commit intoopenai:mainfrom
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Non-record: Three Approaches + Lessons Learned (best: 1.1188 BPB)#1001ibarrajo wants to merge 1 commit intoopenai:mainfrom
ibarrajo wants to merge 1 commit intoopenai:mainfrom
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Approach A (openai#569 int5 no TTT): 1.1317 — int5 penalty too high on d=512 Approach B (openai#576 d=576 int5 + legal s_0 TTT): 1.1188 — best legal result Approach C (GEPA int5 + TTT): artifact over 16MB Key lesson: TTT re-scoring is illegal (PR openai#991 closed for this). Only s_0 cumulative first-pass score is legal. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
Three approaches tested, all rule-compliant. Best legal result: 1.1188 BPB (s_0 TTT only).
Previous PR #991 was closed because TTT re-scored tokens after training. This submission reports only the legal s_0 score. All GPTQ calibration runs within 600s training budget.
Lessons learned
Rule compliance
Based on PRs #569, #576, #505. Submitted as non-record data points.
🤖 Generated with Claude Code