| # Submit one PostTrainBench sweep: every benchmark x every base model, at the official setting | |
| # (10 h of agent time on one H100, then evaluation). | |
| # | |
| # bash scripts/ptb_sweep.sh # 28 cells, seed _run1 | |
| # EXPERIMENT_NAME=_run2 bash scripts/ptb_sweep.sh # the second of upstream's three seeds | |
| # DEPENDENCY=afterok:12345 bash scripts/ptb_sweep.sh # queue now, start once setup 12345 is done | |
| # DRY_RUN=1 bash scripts/ptb_sweep.sh # print the sbatch lines without submitting | |
| # | |
| # Upstream reports the mean over three seeds, so a full agent row is this script run three times | |
| # (`_run1`, `_run2`, `_run3`) -- 84 cells, ~840 GPU-hours. `scripts/collect.py` upstream aggregates | |
| # the `..._10h_run{1,2,3}` directories this naming produces. | |
| set -euo pipefail | |
| cd /home/jiaruiliu/local/git-repos/auto-impl | |
| # scripts/constants.py HARDCODED_BENCHMARKS. aime2026 exists upstream but is not in the reported | |
| # set. arenahardwriting and healthbench grade with OpenAI's gpt-5-mini; .env has no OPENAI_API_KEY | |
| # and api.openai.com is unreachable from the aws cluster, so both the agent and the final evaluation | |
| # are pointed at a local vLLM pool serving under that name instead -- start | |
| # scripts/ptb_judge_pool.sbatch first and export PTB_JUDGE_POOL_DIR (see JUDGE_POOL below). | |
| # Caveat on comparability: healthbench grades each rubric item as an independent boolean, so a | |
| # different grader shifts the number but measures the same thing; arenahardwriting is a pairwise | |
| # preference win-rate, where swapping the judge changes what is being measured, and its scores are | |
| # therefore NOT comparable to upstream's. | |
| EVALS=(aime2025 arenahardwriting bfcl gpqamain gsm8k healthbench humaneval) | |
| # src/commit_utils/commit.sh `models`. | |
| MODELS=(google/gemma-3-4b-pt Qwen/Qwen3-4B-Base Qwen/Qwen3-1.7B-Base HuggingFaceTB/SmolLM3-3B-Base) | |
| AGENT="${AGENT:-claude_non_api}" | |
| AGENT_MODEL="${AGENT_MODEL:-claude-opus-5}" | |
| CONTAINER="${CONTAINER:-opus_5_local}" | |
| HOURS="${HOURS:-10}" | |
| EXPERIMENT_NAME="${EXPERIMENT_NAME:-_run1}" | |
| # 10 h of agent time plus the evaluation retries; the value ptb_run.sbatch's header calls official. | |
| TIME_LIMIT="${TIME_LIMIT:-14:00:00}" | |
| # Where the running judge pool publishes its `task_<i>.addr` files; forwarded to every cell so the | |
| # two LLM-graded benchmarks can reach it. Fail early rather than let those cells die hours in. | |
| JUDGE_POOL_DIR="${PTB_JUDGE_POOL_DIR:-}" | |
| if [[ " ${EVALS[*]} " == *" healthbench "* || " ${EVALS[*]} " == *" arenahardwriting "* ]]; then | |
| if [[ -z "$JUDGE_POOL_DIR" ]]; then | |
| echo "EVALS contains an LLM-graded benchmark but PTB_JUDGE_POOL_DIR is unset." >&2 | |
| echo "Start scripts/ptb_judge_pool.sbatch and export PTB_JUDGE_POOL_DIR=logs/ptb-judge-pool/<jobid>." >&2 | |
| exit 1 | |
| fi | |
| if ! compgen -G "$JUDGE_POOL_DIR/task_*.addr" >/dev/null; then | |
| echo "No ready replicas in $JUDGE_POOL_DIR (the pool publishes task_*.addr only once a" >&2 | |
| echo "replica answers). Wait for 'pool READY' in its log." >&2 | |
| exit 1 | |
| fi | |
| echo "judge pool: $(compgen -G "$JUDGE_POOL_DIR/task_*.addr" | wc -l) replica(s) in $JUDGE_POOL_DIR" | |
| JUDGE_POOL_DIR="$(cd "$JUDGE_POOL_DIR" && pwd)" # the cells resolve it from their own cwd | |
| fi | |
| echo "agent=$AGENT model=$AGENT_MODEL hours=$HOURS experiment=$EXPERIMENT_NAME" | |
| echo "${#EVALS[@]} benchmarks x ${#MODELS[@]} models = $((${#EVALS[@]} * ${#MODELS[@]})) cells" | |
| echo | |
| for model in "${MODELS[@]}"; do | |
| for eval in "${EVALS[@]}"; do | |
| if [[ -n "${DRY_RUN:-}" ]]; then | |
| echo "would submit: $eval $model" | |
| continue | |
| fi | |
| # --export: ALL keeps the caller's environment, WITH_X2P=1 makes the Slurm task prolog | |
| # start this job's own x2pagentd sidecar (see ptb_run.sbatch). | |
| sbatch --time="$TIME_LIMIT" \ | |
| --job-name="ptb-${eval}" \ | |
| ${DEPENDENCY:+--dependency="$DEPENDENCY"} \ | |
| --export="ALL,WITH_X2P=1,TASK=${eval},MODEL=${model},AGENT=${AGENT},AGENT_MODEL=${AGENT_MODEL},CONTAINER=${CONTAINER},HOURS=${HOURS},EXPERIMENT_NAME=${EXPERIMENT_NAME},PTB_JUDGE_POOL_DIR=${JUDGE_POOL_DIR}" \ | |
| scripts/ptb_run.sbatch | |
| done | |
| done | |