#!/bin/bash #SBATCH --job-name=vl #SBATCH --partition=gpu-large #SBATCH --qos=batch-long #SBATCH --gres=gpu:1 #SBATCH --cpus-per-task=2 #SBATCH --mem=64G #SBATCH --time=06:00:00 #SBATCH --output=/weka/s225250685/mats-tist/slurm_logs/fixer_v2_%j.out set -u cd /weka/s225250685/mats-tist export HF_HOME=/weka/s225250685/Huggingface export HF_HUB_CACHE=/weka/s225250685/Huggingface/hub export DB_EXEC_API_DISABLE=1 export PYTHONNOUSERSITE=1 export NO_PROXY=localhost,127.0.0.1 export PYTHONPATH=/weka/s225250685/mats-tist export TOKENIZERS_PARALLELISM=false PY=/weka/s225250685/conda-envs/handbook/bin/python VLLM=/weka/s225250685/conda-envs/handbook/bin/vllm PLANNER=/weka/s225250685/mats-tist/alignment-handbook/output/planner-iter2-collab-3B V_SEL=/weka/s225250685/mats-tist/alignment-handbook/output/validator-selection-0.5B-v3 V_COND=/weka/s225250685/mats-tist/alignment-handbook/output/validator-condition-0.6B-v3 FIXER_V2=/weka/s225250685/mats-tist/alignment-handbook/output/fixer-v2-1.5B-execerr-sft SEL_V2=/weka/s225250685/mats-tist/alignment-handbook/output/selector-3B-v2-rows LOG=/weka/s225250685/mats-tist/slurm_logs/fixer_v2_${SLURM_JOB_ID}.log : > "$LOG" nvidia-smi --query-gpu=name,memory.total --format=csv,noheader | tee -a "$LOG" kill_vllm() { pkill -9 -f "vllm serve" 2>/dev/null || true pkill -9 -f "VLLM::EngineCore" 2>/dev/null || true sleep 5 } trap kill_vllm EXIT wait_url() { for i in {1..180}; do curl --noproxy '*' -fs "$1" >/dev/null 2>&1 && return 0 sleep 5 done return 1 } ############################################## # STAGE A: train fixer v2 (1B, exec-err SFT) ############################################## echo "==== [A] training fixer v2 (Qwen2.5-Coder-1B, exec-err targeted) ====" | tee -a "$LOG" $PY scripts/train_fixer_v2.py 2>&1 | tee -a "$LOG" if [ ! -f "$FIXER_V2/config.json" ]; then echo "FIXER V2 TRAIN FAILED" | tee -a "$LOG"; exit 1 fi echo "==== [A] fixer v2 saved at $FIXER_V2 ====" | tee -a "$LOG" ############################################## # STAGE B: 3-stage K=8 rollout with fixer v2 + gate # Planner 3B + v_s 0.5B + v_c 0.6B + FIXER_V2 1B (gated) ############################################## kill_vllm echo "==== [B] launching endpoints (planner+v_s+v_c+fixer_v2) ====" | tee -a "$LOG" $VLLM serve "$PLANNER" --served-model-name planner --port 8100 --dtype bfloat16 \ --gpu-memory-utilization 0.35 --enforce-eager --max-model-len 8192 > "${LOG}.p" 2>&1 & wait_url http://localhost:8100/v1/models && echo " planner READY" | tee -a "$LOG" $VLLM serve "$V_SEL" --served-model-name validator_sel --port 8101 --dtype bfloat16 \ --gpu-memory-utilization 0.10 --enforce-eager --max-model-len 5120 > "${LOG}.vs" 2>&1 & wait_url http://localhost:8101/v1/models && echo " v_s READY" | tee -a "$LOG" $VLLM serve "$V_COND" --served-model-name validator_cond --port 8104 --dtype bfloat16 \ --gpu-memory-utilization 0.10 --enforce-eager --max-model-len 5120 > "${LOG}.vc" 2>&1 & wait_url http://localhost:8104/v1/models && echo " v_c READY" | tee -a "$LOG" $VLLM serve "$FIXER_V2" --served-model-name fixer --port 8102 --dtype bfloat16 \ --gpu-memory-utilization 0.20 --enforce-eager --max-model-len 4096 > "${LOG}.f" 2>&1 & wait_url http://localhost:8102/v1/models && echo " fixer_v2 READY" | tee -a "$LOG" OUT_GATED=eval_results/scaleup_BoN8_d_K8_3stage_planner_iter2_mixedtemp_vsel_vcond_fixerv2_gated_bird_dev.jsonl rm -f "$OUT_GATED" echo "==== [B] K=8 3-stage + fixer_v2 + gate (mixed-temp 0.5/0.7/0.9/1.1) ====" | tee -a "$LOG" $PY scripts/run_pipeline_rollouts.py \ --input_file data/sft_bird_with_evidence_dev_text2sql.json \ --output_file "$OUT_GATED" \ --planner_host http://localhost:8100 \ --validator_host none \ --validator_sel_host http://localhost:8101 \ --validator_cond_host http://localhost:8104 \ --fixer_host http://localhost:8102 \ --fixer_gate_exec_ok \ --K 8 --K_val 1 --K_fix 1 \ --mixed_temp "0.5,0.7,0.9,1.1" --top_p 0.9 \ --max_planner_tokens 1024 --max_validator_tokens 384 --max_fixer_tokens 512 \ --max_questions -1 --n_threads 4 2>&1 | tee -a "$LOG" echo "==== [B] metrics (oracle, greedy, majority) ====" | tee -a "$LOG" $PY scripts/compute_bestofn_metrics.py "$OUT_GATED" K8_3stage_fixerv2_gated 2>&1 | tee -a "$LOG" ############################################## # STAGE C: apply selector v2 to new rollout ############################################## kill_vllm echo "==== [C] launching selector v2 ====" | tee -a "$LOG" $VLLM serve "$SEL_V2" --served-model-name selector --port 8103 --dtype bfloat16 \ --gpu-memory-utilization 0.85 --enforce-eager --max-model-len 8192 > "${LOG}.sel" 2>&1 & wait_url http://localhost:8103/v1/models && echo " selector READY" | tee -a "$LOG" label="$(basename $OUT_GATED .jsonl)_selectorV2rows" echo "==== [C] $label ====" | tee -a "$LOG" $PY scripts/compute_bestofn_with_selector.py \ "$OUT_GATED" "$label" --selector_host http://localhost:8103 --row_preview 2>&1 | tee -a "$LOG" echo "==== ALL_DONE ====" | tee -a "$LOG"