1 files changed, 40 insertions, 0 deletions
diff --git a/collaborativeagents/training/train_sft_lf.sbatch b/collaborativeagents/training/train_sft_lf.sbatch
new file mode 100644
index 0000000..7f090b1
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+++ b/collaborativeagents/training/train_sft_lf.sbatch
@@ -0,0 +1,40 @@
+#!/bin/bash
+#SBATCH --job-name=sft_lf
+#SBATCH --account=bfqt-delta-gpu
+#SBATCH --partition=gpuH200x8
+#SBATCH --nodes=1
+#SBATCH --ntasks=1
+#SBATCH --cpus-per-task=32
+#SBATCH --gres=gpu:4
+#SBATCH --mem=256G
+#SBATCH --time=8:00:00
+#SBATCH --output=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/sft_lf_%j.out
+#SBATCH --error=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/sft_lf_%j.err
+
+echo "=== SFT Training with LLaMA-Factory (H200) ==="
+date
+nvidia-smi --query-gpu=index,name,memory.total --format=csv
+
+cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training
+source /u/yurenh2/miniforge3/etc/profile.d/conda.sh
+conda activate eval
+export HF_HOME=/projects/bfqt/users/yurenh2/hf_cache/huggingface
+export WANDB_MODE=offline
+
+echo "Model: /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/models/llama-3.1-8b-instruct"
+echo "Data: training_data/sft_training_data.json"
+echo "Output: outputs/sft_reflection_lf"
+
+# Check training data
+echo "Training data size: $(stat -c%s training_data/sft_training_data.json) bytes"
+echo "Training examples: $(python3 -c 'import json; print(len(json.load(open(\"training_data/sft_training_data.json\"))))')"
+
+echo ""
+echo "Starting LLaMA-Factory SFT training with DeepSpeed ZeRO-3..."
+
+# Run with LLaMA-Factory CLI + DeepSpeed ZeRO-3 for memory efficiency
+FORCE_TORCHRUN=1 llamafactory-cli train llama_factory_config.yaml
+
+echo ""
+echo "SFT Training complete!"
+date