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#!/bin/bash
#SBATCH --job-name=ctx_p0_9
#SBATCH --account=bfqt-delta-gpu
#SBATCH --partition=gpuA100x4
#SBATCH --nodes=1
#SBATCH --ntasks=1
#SBATCH --cpus-per-task=16
#SBATCH --gres=gpu:nvidia_a100:4
#SBATCH --mem=200G
#SBATCH --time=48:00:00
#SBATCH --output=logs/contextual_p0_9_%j.out
#SBATCH --error=logs/contextual_p0_9_%j.err
set -e
cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model
mkdir -p collaborativeagents/slurm/logs collaborativeagents/results
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
cd collaborativeagents/scripts
# Run profiles 0-9 (10 profiles, ~40 hours)
python run_experiments.py \
--methods contextual \
--datasets mmlu,aime,math-hard,humaneval \
--n-profiles 30 \
--n-sessions 20 \
--profile-path ../data/complex_profiles_v2/profiles_100.jsonl \
--output-dir ../results/contextual_20251227_020146 \
--start-profile 0 \
--end-profile 10
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