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Diffstat (limited to 'collaborativeagents/training/train_sft_lora.sbatch')
| -rw-r--r-- | collaborativeagents/training/train_sft_lora.sbatch | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/collaborativeagents/training/train_sft_lora.sbatch b/collaborativeagents/training/train_sft_lora.sbatch new file mode 100644 index 0000000..9781dd0 --- /dev/null +++ b/collaborativeagents/training/train_sft_lora.sbatch @@ -0,0 +1,30 @@ +#!/bin/bash +#SBATCH --job-name=sft_lora +#SBATCH --output=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/sft_lora_%j.out +#SBATCH --error=/projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/sft_lora_%j.err +#SBATCH --time=12:00:00 +#SBATCH --account=bfqt-delta-gpu +#SBATCH --partition=gpuA100x4 +#SBATCH --gres=gpu:1 +#SBATCH --cpus-per-task=8 +#SBATCH --mem=64G + +# LoRA SFT Training - Minimal Hardware (1 GPU) +# Expected: ~2-4 hours for 4 epochs on single H200 + +cd /projects/bfqt/users/yurenh2/ml-projects/personalization-user-model/collaborativeagents/training + +source /u/yurenh2/miniforge3/etc/profile.d/conda.sh +conda activate eval + +echo "=== Starting LoRA SFT Training ===" +echo "GPU: $(nvidia-smi --query-gpu=name --format=csv,noheader | head -1)" +echo "Config: llama_factory_lora_config.yaml" +echo "Start time: $(date)" + +# Run training with LLaMA-Factory +llamafactory-cli train llama_factory_lora_config.yaml + +echo "=== Training Complete ===" +echo "End time: $(date)" +echo "Output: outputs/sft_reflection_lora" |