| #SBATCH -A YOUR_ACCOUNT # EDIT: your SLURM account | |
| #SBATCH -p gpu # EDIT: your GPU partition name | |
| #SBATCH --nodes 1 | |
| #SBATCH --gpus-per-node 4 | |
| #SBATCH --ntasks-per-node 1 | |
| #SBATCH -c 64 | |
| #SBATCH -t 02:00:00 | |
| #SBATCH --job-name=joint-hf | |
| #SBATCH -o logs/jointhf-%j.out | |
| #SBATCH -e logs/jointhf-%j.out | |
| # SLURM copies the submitted script into a per-job spool dir before running it on this | |
| # cluster, so locating the repo via ${BASH_SOURCE[0]} resolves to that spool path, not | |
| # the real one ("/var/lib/slurm/..." errors downstream) -- a real failure mode hit | |
| # repeatedly in practice. $SLURM_SUBMIT_DIR is set by sbatch to the directory it was | |
| # invoked from, immune to that copy, and matches this repo's own submit-from-root | |
| # convention (see scripts/slurm/README.md point 6). | |
| STOICHEIA_ROOT="${SLURM_SUBMIT_DIR:-$PWD}" | |
| export STOICHEIA_ROOT | |
| # Same-recipe cross-encoder ablation, rough-estimate pass: fold 0, seed 0 only, | |
| # full 4-GPU DDP torchrun per run. | |
| # Usage: sbatch scripts/slurm/syntax_joint_hf.sbatch <encoder_tag> (e.g. xlmr_base, greberta, agbert, logion, xlmr_large, philberta, mbert) | |
| set -euo pipefail | |
| TAG="${1:?usage: sbatch scripts/joint_hf.sbatch <encoder_tag>}" | |
| SYN_ROOT=$STOICHEIA_ROOT | |
| STOICHEIA_ROOT=$STOICHEIA_ROOT | |
| source $STOICHEIA_ROOT/env.sh | |
| source $SYN_ROOT/env.sh | |
| mkdir -p "$SYN_ROOT/logs" | |
| CFG0="$SYN_ROOT/configs/syntax/joint_${TAG}_f0_s0.json" | |
| [ -f "$CFG0" ] || { echo "missing $CFG0"; exit 1; } | |
| PORT=$((29000 + SLURM_JOB_ID % 1000)) | |
| apptainer exec --nv $APPTAINER_BINDS $SIF bash -c " | |
| set -e | |
| export PYTHONPATH=$SYN_ROOT:$TAGGER_ROOT:$STOICHEIA_ROOT | |
| export HF_HOME=$HF_HOME | |
| cd $SYN_ROOT | |
| torchrun --nproc_per_node=4 --rdzv_backend=c10d --rdzv_endpoint=localhost:$PORT \ | |
| -m parser.joint_train --config $CFG0 | |
| " | |
| echo JOINT_HF_DONE | |