code/slurm_logs/launch_block4_train.sh

#!/bin/bash
# Block 4 launcher: submit 4 parallel iter2 ORPO training jobs (one per recipe).

set -u
cd /weka/s225250685/mats-tist

for RECIPE_BASENAME in orpo-val-sel-collab-iter2-paper orpo-val-sel-indep-iter2-paper \
                       orpo-val-cond-collab-iter2-paper orpo-val-cond-indep-iter2-paper; do
    DATASET_DIR="data/hf_orpo_val_$(echo $RECIPE_BASENAME | sed -E 's/orpo-val-([^-]+)-([^-]+)-iter2-paper/\1_paper_iter2_\2/')"
    # Actually simpler: just check the dataset path indirectly
    echo "Submitting iter2 ORPO training: recipe=$RECIPE_BASENAME"
    sbatch --export=RECIPE_BASENAME="$RECIPE_BASENAME" \
           slurm_logs/orpo_iter2_train.sbatch
done
squeue -u $USER -o "%.10i %.20j %.8u %.2t %.10M %P %R %N"