Record: Order-12 N-gram Backoff + 256K Chunks — 0.2834 BPB#843
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quietsmile wants to merge 2 commits intoopenai:mainfrom
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Record: Order-12 N-gram Backoff + 256K Chunks — 0.2834 BPB#843quietsmile wants to merge 2 commits intoopenai:mainfrom
quietsmile wants to merge 2 commits intoopenai:mainfrom
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Key innovation: reduce NGRAM_EVAL_CHUNK_TOKENS from 1M to 65K. The N-gram cache updates after each chunk, so smaller chunks mean more frequent cache refreshes and richer n-gram statistics. Results (3-seed mean): 0.2873 BPB (std 0.0001) Fully legal: no pre-eval TTT, score-first N-gram only. 11L 512d GQA 8/4, MLP 3.0x, XSA-4, LeakyReLU(0.9)², BigramHash(4096), GPTQ int5, LZMA. 600s train + 405s eval. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Extended eval-time n-gram backoff from order 9 to order 12, reduced chunk size from 1M to 256K tokens for faster cache refresh, and increased alpha_max from 0.60 to 0.70. Two-seed validation: 0.2835 (seed=1337), 0.2833 (seed=42). Improvement over PR openai#809 baseline: -0.0118 BPB. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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This was referenced Mar 26, 2026
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Summary
val_bpb: 0.2834 (2-seed mean, std 0.0001) | ~13.4 MB artifact | 525s training + 431s eval
Improvement over PR #809 (0.2952 BPB): -0.0118 BPB
All changes are eval-time only. No training modifications. Score-first compliance maintained.
Test plan
🤖 Generated with Claude Code