| # Evaluate a model on one benchmark. No API key needed except for the LLM-graded tasks | |
| # (arenahardwriting, healthbench), which need OPENAI_API_KEY in .env. | |
| # | |
| # sbatch scripts/ptb_eval.sbatch # full gsm8k baseline | |
| # LIMIT=20 sbatch scripts/ptb_eval.sbatch # quick sanity check | |
| # MODEL=<run dir>/final_model OUT=<...> sbatch scripts/ptb_eval.sbatch | |
| #SBATCH --job-name=ptb-eval | |
| #SBATCH --partition=h100 | |
| #SBATCH --account=midpri | |
| #SBATCH --qos=midpri | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --time=04:00:00 | |
| #SBATCH --cpus-per-task=16 | |
| #SBATCH --mem=256G | |
| #SBATCH --output=logs/ptb-eval-%j.out | |
| set -euo pipefail | |
| unset http_proxy https_proxy HTTP_PROXY HTTPS_PROXY no_proxy NO_PROXY X2P_PROXY_URL | |
| TASK="${TASK:-gsm8k}" | |
| MODEL="${MODEL:-Qwen/Qwen3-1.7B-Base}" | |
| LIMIT="${LIMIT:--1}" # -1 = the full benchmark | |
| OUT="${OUT:-/home/jiaruiliu/ptb-data/baselines/${TASK}_qwen3-1.7b}" | |
| cd /home/jiaruiliu/local/git-repos/auto-impl | |
| export PYTHONPATH=src | |
| echo "node=$(hostname)"; nvidia-smi -L | |
| python3 -m posttrainbench eval --task "$TASK" --model "$MODEL" --limit "$LIMIT" --out-dir "$OUT" | |