Upload train_slurm.sh with huggingface_hub

train_slurm.sh

@@ -0,0 +1,34 @@
+#!/bin/bash
+#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"