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
42 lines
1.8 KiB
Bash
Executable file
42 lines
1.8 KiB
Bash
Executable file
#!/bin/bash
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# The v2 society campaign (prereg tasks/prereg-llm-society-v2.md §9): one (seed, arm) per array
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# element on one L40S each, 16 elements = 4 seeds x 4 arms. Each element is self-contained: founders
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# are trained inline and cached per seed (the four arm-elements of a seed share them via the
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# filesystem; the first to arrive trains, the others wait on the adapter_config.json check), the loop
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# checkpoints every generation and resumes, so a killed element is re-queued with the same index and
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# picks up where it stopped. ~6 h per element at k_inherit=300 (prereg §9); 8 h walltime.
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# submit: qsub hpc/llm_society_v2.pbs status: qstat -u $USER -t
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# index -> seed = 1 + (i-1) // 4, arm = (full no_grounding no_sex no_diversity)[(i-1) % 4]
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#PBS -l select=1:ncpus=8:mem=64gb:ngpus=1:gpu_type=L40S
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#PBS -l walltime=08:00:00
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#PBS -N lam_society_v2
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#PBS -J 1-16
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cd "$PBS_O_WORKDIR"
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export HF_HOME="$EPHEMERAL/hf_cache"
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export TOKENIZERS_PARALLELISM=false
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export UV_CACHE_DIR="$EPHEMERAL/uvcache"
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ARMS=(full no_grounding no_sex no_diversity)
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I=$((PBS_ARRAY_INDEX - 1))
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SEED=$((1 + I / 4))
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ARM=${ARMS[$((I % 4))]}
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source .venv/bin/activate
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nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv,noheader
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echo "seed=$SEED arm=$ARM start=$(date)"
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# One config per (seed, arm): generated from the seed template so the resolved config is exact.
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CFG="configs/llm/_gen/society_v2_s${SEED}_${ARM}.yaml"
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mkdir -p configs/llm/_gen
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python - "$SEED" "$ARM" "$CFG" <<'EOF'
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import sys, yaml
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seed, arm, out = int(sys.argv[1]), sys.argv[2], sys.argv[3]
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cfg = yaml.safe_load(open(f"configs/llm/society_v2_s{seed}.yaml"))
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cfg["arms"] = [arm]
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cfg["output"] = {"dir": f"results/llm_society_v2/s{seed}_{arm}"}
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yaml.safe_dump(cfg, open(out, "w"), sort_keys=False)
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EOF
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python -m llm.experiment "$CFG"
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echo "done: $(date)"
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