1 files changed, 43 insertions, 0 deletions
diff --git a/collaborativeagents/slurm/run_sft_training.sh b/collaborativeagents/slurm/run_sft_training.sh
new file mode 100755
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+++ b/collaborativeagents/slurm/run_sft_training.sh
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+#!/bin/bash
+#SBATCH --job-name=sft_refl
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuA100x4
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=16
+#SBATCH --gres=gpu:4
+#SBATCH --mem=200G
+#SBATCH --time=24:00:00
+#SBATCH --output=logs/sft_reflection_%j.out
+#SBATCH --error=logs/sft_reflection_%j.err
+
+set -e
+cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model
+mkdir -p collaborativeagents/slurm/logs collaborativeagents/training/outputs collaborativeagents/training/training_data
+
+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 WANDB_PROJECT="collaborative-agent-reflection-sft"
+
+# Step 1: Generate training data from completed experiments
+echo "=== Step 1: Generating training data ==="
+python collaborativeagents/training/generate_training_data.py \
+    --results-dir collaborativeagents/results \
+    --output-dir collaborativeagents/training/training_data
+
+# Step 2: Run SFT training using TRL
+echo "=== Step 2: Running SFT training ==="
+python collaborativeagents/training/train_sft.py \
+    --model-path /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct \
+    --data-path collaborativeagents/training/training_data/sft_training_data.json \
+    --output-dir collaborativeagents/training/outputs/sft_reflection \
+    --num-epochs 4 \
+    --learning-rate 1e-6 \
+    --batch-size 1 \
+    --gradient-accumulation 64
+
+echo "=== SFT Training Complete ==="
+echo "Model saved to: collaborativeagents/training/outputs/sft_reflection"