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| author | YurenHao0426 <blackhao0426@gmail.com> | 2026-01-27 09:57:37 -0600 |
|---|---|---|
| committer | YurenHao0426 <blackhao0426@gmail.com> | 2026-01-27 09:57:37 -0600 |
| commit | dc801c07cf38b0c495686463e6ca6f871a64440e (patch) | |
| tree | 599f03114775921dbc472403c701f4a3a8ea188a /collaborativeagents/slurm/fullscale/run_vanilla_p50.sh | |
| parent | e43b3f8aa36c198b95c1e46bea2eaf3893b13dc3 (diff) | |
Add collaborativeagents module and update gitignore
- Add collaborativeagents subproject with adapters, agents, and evaluation modules
- Update .gitignore to exclude large binary files (.whl, .tar), wandb logs, and results
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Diffstat (limited to 'collaborativeagents/slurm/fullscale/run_vanilla_p50.sh')
| -rwxr-xr-x | collaborativeagents/slurm/fullscale/run_vanilla_p50.sh | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/collaborativeagents/slurm/fullscale/run_vanilla_p50.sh b/collaborativeagents/slurm/fullscale/run_vanilla_p50.sh new file mode 100755 index 0000000..d77b881 --- /dev/null +++ b/collaborativeagents/slurm/fullscale/run_vanilla_p50.sh @@ -0,0 +1,66 @@ +#!/bin/bash +#SBATCH --job-name=exp_vanilla_p50 +#SBATCH --account=bfqt-delta-gpu +#SBATCH --partition=gpuA100x4 +#SBATCH --nodes=1 +#SBATCH --ntasks=1 +#SBATCH --cpus-per-task=16 +#SBATCH --gres=gpu:nvidia_a100:2 +#SBATCH --mem=128G +#SBATCH --time=12:00:00 +#SBATCH --output=exp_vanilla_p50_%j.out +#SBATCH --error=exp_vanilla_p50_%j.err + +# Full run: vanilla method, profiles 50-100 (50 profiles × 15 sessions) + +cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model +source /u/yurenh2/miniforge3/etc/profile.d/conda.sh +conda activate eval + +export HF_HOME=/projects/bfqt/users/yurenh2/hf_cache/huggingface +export PYTHONPATH="${PWD}/src:${PWD}/collaborativeagents:${PYTHONPATH}" +export NCCL_P2P_DISABLE=1 + +set -a +source .env +set +a + +pip install --quiet openai python-dotenv json-repair + +MODEL_8B="/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct" + +pkill -f "vllm.entrypoints" 2>/dev/null || true +sleep 2 + +CUDA_VISIBLE_DEVICES=0 python -m vllm.entrypoints.openai.api_server \ + --model $MODEL_8B --port 8003 --tensor-parallel-size 1 \ + --gpu-memory-utilization 0.5 --max-model-len 8192 \ + --dtype bfloat16 --disable-log-requests & + +for i in $(seq 1 90); do + curl -s http://localhost:8003/health > /dev/null 2>&1 && break + sleep 2 +done +echo "vLLM ready." + +cd collaborativeagents/scripts + +python run_experiments.py \ + --methods vanilla \ + --datasets math-hard \ + --n-profiles 200 \ + --start-profile 50 \ + --end-profile 100 \ + --n-sessions 15 \ + --max-turns 8 \ + --use-vllm \ + --use-openai-user \ + --openai-user-model gpt-5-mini \ + --reward-mode llm \ + --vllm-agent-url http://localhost:8003/v1 \ + --parallel-profiles 25 \ + --profile-path ../data/complex_profiles_v2/profiles_200.jsonl \ + --output-dir ../results/fullscale_15sess + +echo "vanilla p50-100 complete!" +pkill -f "vllm.entrypoints" 2>/dev/null || true |
