Removed from main (all preserved on the dev branch): the arXiv build and
its sources, design documents (blueprint, results summary, review responses,
essay drafts), tasks/ and CLAUDE.md, the cover letter and reference tooling,
two unused manuscript figures, and every experiment that feeds no figure or
number in the paper: the collapse null, the sexual-vs-asexual lineage, the
NK speciation variant, the 0.5B single-seed LLM prototypes, the compose and
society experiments with their calibration and pilot runs, and their
configs, runners, tests, figure scripts and PBS jobs. Their result bundles
are moved to results/_archive/ (ignored) so the parquets stay on disk.
Also: plot_llm_speciation reads the s{seed}/ layout; the mating-breadth
plot writes under its bundle name; Makefile targets reduced to the kept
experiments; REPRODUCING.md and README point to dev for the rest.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Y64o8FKP7rCuXzC48pxpMm
35 lines
1.4 KiB
YAML
35 lines
1.4 KiB
YAML
# Decorrelated curriculum (manuscript review, 2026-09-11). In the Latin square partner complementarity
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# falls monotonically with generation (1.0, 1.0, 0.8, 0.67, 0.33, 0.0), so the veto's acceptance curve
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# is collinear with adapter age. Here every lineage starts with the same non-destroyer family (mnli),
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# then diverges maximally, then converges: complementarity 0.00, 0.67, 0.70, 0.58, 0.33, 0.00 by
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# generation. Same six families, same G, destroyers (boolq, winogrande) spread across lineages as
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# in the Latin square. Arms: the declinable merge (`society` + `allow_veto`) and its never-merge
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# reference under the same curriculum. Pre-registered readout: tasks/prereg-llm-society-v4.md on the dev branch §8g.
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experiment: llm_curriculum_v5_decor
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kind: llm_curriculum
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base_model: Qwen/Qwen2.5-1.5B
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seed: 1
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families: [mnli, arc, hellaswag, squad, boolq, winogrande]
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orders:
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- [mnli, arc, hellaswag, squad, boolq, winogrande]
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- [mnli, squad, boolq, winogrande, arc, hellaswag]
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- [mnli, winogrande, arc, hellaswag, squad, boolq]
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lineages: 3
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generations: 6
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arms: [isolated, society]
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baselines: []
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allow_veto: true
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n_new: 300
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n_replay: 150
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n_test: 60
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n_val: 20
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epochs: 3
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lr: 1.0e-4
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operator: linear
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merge_weights: [[0.5, 0.5], [0.3, 0.7], [0.7, 0.3]]
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max_new_tokens: 48
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batch_size: 24
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train_batch_size: 2
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train_max_len: 512
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lora: {r: 16, alpha: 32}
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output: {dir: results/llm_curriculum_v5_decor}
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