Record: 9L XSA-all + LeakyReLU² + 5-gram eval cache — val_bpb 1.0909 (3-seed mean)#740
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Record: 9L XSA-all + LeakyReLU² + 5-gram eval cache — val_bpb 1.0909 (3-seed mean)#740resouer wants to merge 2 commits intoopenai:mainfrom
resouer wants to merge 2 commits intoopenai:mainfrom
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…(3-seed) 3-seed validation: seed 1337: val_bpb=1.0898, 14.68 MB seed 42: val_bpb=1.0909, 14.69 MB seed 7: val_bpb=1.0920, 14.68 MB mean: 1.0909 (std=0.0011) Architecture: 9L/512d, XSA-all, LeakyReLU(0.5)², SmearGate, BigramHash(4096), OrthoInit, LN Scale, Partial RoPE. Int8 quantization + zstd-22. Key technique: Online hashed 5-gram eval cache with fixed-weight linear mixing (alpha=0.20). Gives -0.079 BPB improvement at eval time. 132s eval time. Training: 8xH100 SXM, 600s wallclock, ~6900 steps at 87ms/step.
Improved from 1.0909 to 1.0238 with: - Multi-order backoff (orders 2-7) with separate per-order hash tables - Entropy-adaptive alpha: 0.05 + 0.55*sigmoid(2*(H-4.0)) - Alpha=0.40 base (was 0.20) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
3-seed mean val_bpb: 1.0909 (std=0.0011) | 14.7 MB | 8xH100 SXM
Results
Key Techniques
Training (9L/512d, 17.6M params)
Eval: Online 5-gram Cache (-0.079 BPB)
mixed = 0.8 * p_model + 0.2 * p_ngramReproduce
Credits
N-gram eval cache concept: @deanbrr (PR #659), @newjordan (PR #674)