# v2 society campaign, seed 4 (prereg tasks/prereg-llm-society-v2.md §3). The PBS array
# (hpc/llm_society_v2.pbs) derives one config per (seed, arm) from this template; running it directly
# runs all four arms sequentially (the local-GPU hedge).
#
# CALIBRATION-DEPENDENT FIELDS — set after gates C1/C2 pass, before submission:
#   families   : the 9 selected by stage A pass 2 (C1, gate 0.41) — SET
#   k_inherit / epochs / conf_gate : from stage B (C2 + C2b), 2026-09-07 — SET
experiment: llm_society_v2
kind: llm_society_v2
base_model: Qwen/Qwen2.5-0.5B-Instruct
seed: 4
families: [strings, setops, numtheory, mixedtoken, digits, alphabet, prime, wordlen, roman]
agents: 9
generations: 12
arms: [full, no_grounding, no_sex, no_diversity]
g: 0.85
lam: 0.3
max_mate_use: 2
n_test: 27           # per family  -> 243 overall (SE 0.032)
n_val: 13            # per family  -> 117 (selection signal)
n_conf: 13           # per family, fresh each generation
k_inherit: 300       # per family, fresh each generation  (C2b: k=300 is the main retention driver)
epochs: 3            # child SFT epochs                     (C2b)
conf_gate: 0.85      # confidence-gated inheritance, all arms (C2b mean retention 0.88; C3c: tight gate = 6-epoch retention at 3 epochs)
spec_train: 1200
spec_epochs: 3
resume: true
lora: {r: 16, alpha: 32}
output: {dir: results/llm_society_v2/s4}