Giorgio Gilestro
84124de143
Clarity pass over the main text (36-item audit), Discussion rewrite and cut, acknowledgements, Souly et al. as ref 62, lettered SI panels, model section moved under Results; plus the untracked curriculum/society/compose/smol configs, runners, figures, stats and tests that the SI already cites. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Y64o8FKP7rCuXzC48pxpMm
34 lines
1.2 KiB
YAML
34 lines
1.2 KiB
YAML
# Generation-0 gate, second configuration (prereg v3 §4a): the composed target is MATH-500
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# (competition maths, level >= 3, numeric answers), and merge weights are *selected* on a disjoint
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# validation split rather than fixed at 0.5/0.5.
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#
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# Why: on GSM8k-Hard the code parent alone reaches 0.427, because once code removes the arithmetic
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# burden the base's own reasoning suffices — so maths is not scarce and E8's premise fails. MetaMathQA
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# is built from GSM8K *and* MATH, so MATH-500 tests reasoning the specialist has and the base lacks.
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# Founders are shared with the first gate (same experiment name), so this costs evaluation only.
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experiment: llm_compose_gate
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kind: llm_compose
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base_model: Qwen/Qwen2.5-1.5B
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seed: 1
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generations: 0
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arms: [dry]
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target: math500
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n_hard: 120 # test split (level>=3 pool is 271; 70% test / 30% val, disjoint)
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n_hard_val: 50 # val split, screens the merge weights only
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merge_weights: [[0.5, 0.5], [0.3, 0.7], [0.2, 0.8]]
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n_gsm8k: 100
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n_mbpp: 80
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n_probe: 40
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k_inherit: 300
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epochs: 3
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conf_gate: 0.85
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g: 0.10
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spec_train: 1200
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spec_epochs: 3
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max_new_tokens: 320
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batch_size: 16
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score_batch_size: 8
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train_batch_size: 2
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train_max_len: 448
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lora: {r: 16, alpha: 32}
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output: {dir: results/llm_compose_gate_math500}
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