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
37 lines
2 KiB
YAML
37 lines
2 KiB
YAML
# The curriculum society campaign, seed 1 (prereg v4, v5 curriculum — tasks/prereg-llm-society-v4.md on the dev branch).
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# Runs all four arms then the three matched-budget baselines. The PBS array (hpc/llm_curriculum.pbs)
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# derives one (seed, arm) config per element from this template for seeds 2-3.
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#
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# Six real-dataset families selected by calibration (§8a): five pass C1 at >= 0.60, winogrande (0.57)
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# is the sixth under the recorded amendment. L = 3 lineages, G = 6 generations; the cyclic Latin square
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# gives complementarity 1.0 at generation 2 and 0.0 at generation 6 (H6 tests the shape).
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#
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# Arms: isolated (no recombination) · society (decorrelated contemporary) · society_dry (contemporary,
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# self-generated replay) · seed_bank (own ancestor at t-3 — temporal complementarity)
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# Baselines at matched examples: sequential · single_shot_merge · joint
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experiment: llm_curriculum_v5
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kind: llm_curriculum
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base_model: Qwen/Qwen2.5-1.5B # base, not Instruct: measured 0.011 on these families untrained
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seed: 1
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families: [mnli, arc, hellaswag, squad, boolq, winogrande]
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lineages: 3
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generations: 6
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arms: [isolated, society, society_dry, seed_bank]
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baselines: [sequential, single_shot_merge, joint]
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n_new: 300 # founder/acquisition budget that passed C1 (1200 destabilised training)
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n_replay: 150 # fixed TOTAL, split across families seen: protection thins as the curriculum grows
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n_test: 60 # per family, from the TEST split — reporting only
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n_val: 20 # per family, from the TRAIN split — merge-weight selection only
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epochs: 3
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lr: 1.0e-4 # continued-training rate (fresh founders use train_lora_on_tasks' 2e-4)
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ancestor_depth: 3
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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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baseline_weights: [[0.333, 0.333, 0.334], [0.5, 0.25, 0.25], [0.25, 0.5, 0.25], [0.25, 0.25, 0.5]]
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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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resume: true
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lora: {r: 16, alpha: 32}
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output: {dir: results/llm_curriculum_v5/s1}
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