giorgio/MachineSex
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

llm_society campaign: 4 seed-configs (N=8, G=10, 4 arms) + CX3 PBS array

Browse source 
Queue strategy per GG: one self-contained job per seed (founders inline - no
cache races, no dependencies), single L40S, 6 h walltime (measured: pilot ran
31 min/arm on the A4000, so a seed is ~2.5-3.5 h) - short independent jobs
that backfill well. Seed 1 runs locally on the A4000 as queue insurance;
seeds 2-4 go to CX3 as array elements. 0.5B for the campaign (sign-level,
seed-replicated, the paper's established pattern); a single 7B confirm of the
headline contrast is the post-campaign step.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
This commit is contained in:
Giorgio Gilestro 2026-09-07 13:59:32 +01:00
parent 9e83aa7034
commit 8086504f44
5 changed files with 117 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

23
configs/llm/society_campaign_s1.yaml Normal file
View file

@ -0,0 +1,23 @@
# The society campaign: 4-arm ablation, one seed per job (founders trained inline, no cache races).
# Seed 1 runs locally (A4000, queue insurance); seeds 2-4 on CX3 (hpc/llm_society.pbs, L40S).
experiment: llm_society_campaign
kind: llm_society
base_model: Qwen/Qwen2.5-0.5B-Instruct
seed: 1
agents: 8
generations: 10
arms: [full, no_grounding, no_sex, no_diversity]
g: 0.5
lam: 0.3
n_test: 40
n_val: 30
n_conf: 90
n_inherit: 600
n_candidates: 6
elitism: 1
n_parents: 4
epochs: 3
spec_train: 600
spec_epochs: 3
lora: {r: 16, alpha: 32}
output: {dir: results/llm_society_campaign/s1}

23
configs/llm/society_campaign_s2.yaml Normal file
View file

@ -0,0 +1,23 @@
# The society campaign: 4-arm ablation, one seed per job (founders trained inline, no cache races).
# Seed 1 runs locally (A4000, queue insurance); seeds 2-4 on CX3 (hpc/llm_society.pbs, L40S).
experiment: llm_society_campaign
kind: llm_society
base_model: Qwen/Qwen2.5-0.5B-Instruct
seed: 2
agents: 8
generations: 10
arms: [full, no_grounding, no_sex, no_diversity]
g: 0.5
lam: 0.3
n_test: 40
n_val: 30
n_conf: 90
n_inherit: 600
n_candidates: 6
elitism: 1
n_parents: 4
epochs: 3
spec_train: 600
spec_epochs: 3
lora: {r: 16, alpha: 32}
output: {dir: results/llm_society_campaign/s2}

23
configs/llm/society_campaign_s3.yaml Normal file
View file

@ -0,0 +1,23 @@
# The society campaign: 4-arm ablation, one seed per job (founders trained inline, no cache races).
# Seed 1 runs locally (A4000, queue insurance); seeds 2-4 on CX3 (hpc/llm_society.pbs, L40S).
experiment: llm_society_campaign
kind: llm_society
base_model: Qwen/Qwen2.5-0.5B-Instruct
seed: 3
agents: 8
generations: 10
arms: [full, no_grounding, no_sex, no_diversity]
g: 0.5
lam: 0.3
n_test: 40
n_val: 30
n_conf: 90
n_inherit: 600
n_candidates: 6
elitism: 1
n_parents: 4
epochs: 3
spec_train: 600
spec_epochs: 3
lora: {r: 16, alpha: 32}
output: {dir: results/llm_society_campaign/s3}

23
configs/llm/society_campaign_s4.yaml Normal file
View file

@ -0,0 +1,23 @@
# The society campaign: 4-arm ablation, one seed per job (founders trained inline, no cache races).
# Seed 1 runs locally (A4000, queue insurance); seeds 2-4 on CX3 (hpc/llm_society.pbs, L40S).
experiment: llm_society_campaign
kind: llm_society
base_model: Qwen/Qwen2.5-0.5B-Instruct
seed: 4
agents: 8
generations: 10
arms: [full, no_grounding, no_sex, no_diversity]
g: 0.5
lam: 0.3
n_test: 40
n_val: 30
n_conf: 90
n_inherit: 600
n_candidates: 6
elitism: 1
n_parents: 4
epochs: 3
spec_train: 600
spec_epochs: 3
lora: {r: 16, alpha: 32}
output: {dir: results/llm_society_campaign/s4}