| #SBATCH --job-name=gogpt-train | |
| #SBATCH --output=logs/train_%j.out | |
| #SBATCH --error=logs/train_%j.err | |
| #SBATCH --nodes=2 | |
| #SBATCH --ntasks-per-node=1 | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH --cpus-per-task=6 | |
| #SBATCH --mem=200G | |
| #SBATCH --time=7-00:00:00 | |
| mkdir -p logs | |
| #Activate Environment | |
| source /home/guloglut/venv/gogpt/bin/activate | |
| module load python/3.11 gcc arrow/21.0.0 | |
| echo "Starting training on $(hostname) with $CUDA_VISIBLE_DEVICES" | |
| echo "Job ID: $SLURM_JOB_ID" | |
| cd /home/guloglut/models/gogpt-dev | |
| TIMESTAMP=$(date +'%Y-%m-%d_%H-%M-%S') | |
| LOG_DIR="/home/guloglut/scratch/artifacts/training/\${experiment_name}/$TIMESTAMP" | |
| PREPROCESSED_PATH="/home/guloglut/models/gogpt-dev/artifacts/preprocessed/cafa6_processed_propagated" | |
| # Run training | |
| srun python scripts/train.py experiment=default \ | |
| training.devices=$SLURM_NTASKS_PER_NODE \ | |
| training.num_nodes=$SLURM_NNODES \ | |
| training.strategy=ddp_find_unused_parameters_true \ | |
| data.preprocessed_path=$PREPROCESSED_PATH \ | |
| "hydra.run.dir=$LOG_DIR" | |