ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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# Experiment 8-3 retained-training-report audit
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## Result
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Status: **passed**. The historical report retains 49 outputs across the original and QK-Norm + Muon arms after pretrain, SFT, and DPO. Eight preregistered arm-blind comparisons were judged from raw retained text by an independent ARK model.
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| Arm | Fluency | Instruction | Factuality | Overall |
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| --- | ---: | ---: | ---: | ---: |
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| Original | 3.0000 | 1.7500 | 1.3750 | 2.0417 |
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| QK-Norm + Muon | 3.7500 | 3.0000 | 4.1250 | 3.6250 |
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Observed blind-judge overall delta: **+1.5833**. Pairwise decisions: {'original': 0, 'qk_norm_muon': 7, 'tie': 1}.
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The report's loss claims (3.0 reached at 36 versus 12 reported steps; final loss 2.0 versus 1.7) are retained as author-reported observations, not independently recomputed measurements, because the historical stepwise logs were not preserved.
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## Provenance and reproduction boundary
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`reproduction_contract.json` freezes the MiniMind source revision, hashes the relevant source files, freezes a dataset revision with the three Git-LFS object hashes and sizes, and records all six future reproduction commands. These pins were selected for future reproduction and are not represented as the exact historical checkout.
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Training checkpoints remain local by book policy and are not an acceptance artifact. The accepted artifact is this content-hashed training report, its raw retained outputs, raw independent-judge receipts, and explicit limitations.
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