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| 1 | + #!/bin/bash |
| 2 | +# Distributed training script for the citation GROBID model with multiple architectures |
| 3 | +# Uses sbatch for parallel job submission to fully exploit the cluster |
| 4 | +# |
| 5 | +# This script trains the citation model with the following architectures: |
| 6 | +# - BidLSTM_CRF |
| 7 | +# - BidLSTM_CRF_FEATURES |
| 8 | +# - BidLSTM_ChainCRF |
| 9 | +# - BidLSTM_ChainCRF_FEATURES |
| 10 | + |
| 11 | +set -e |
| 12 | + |
| 13 | +# Parallelization settings |
| 14 | +MAX_PARALLEL_JOBS=${MAX_PARALLEL_JOBS:-4} |
| 15 | +WAIT_INTERVAL=${WAIT_INTERVAL:-30} |
| 16 | + |
| 17 | +# Common SLURM configuration |
| 18 | +SBATCH_OPTS="--container-mounts=/netscratch:/netscratch,$HOME:$HOME \ |
| 19 | +--container-workdir=/netscratch/lfoppiano/delft/delft_tf2.17.1-updated \ |
| 20 | +--container-image=/netscratch/lfoppiano/enroot/tensorflow-2.17.2-gpu-delft-updated.sqsh \ |
| 21 | +--mem=100G \ |
| 22 | +-p V100-32GB,RTX3090,RTXA6000 \ |
| 23 | +--gpus=1 \ |
| 24 | +--nodes=1 \ |
| 25 | +--time=3-00:00" |
| 26 | + |
| 27 | +PYTHON_CMD=".venv/bin/python -m delft.applications.grobidTagger" |
| 28 | + |
| 29 | +# Architectures to train |
| 30 | +ARCHITECTURES=( |
| 31 | + "BidLSTM_CRF" |
| 32 | + "BidLSTM_CRF_FEATURES" |
| 33 | + "BidLSTM_ChainCRF" |
| 34 | + "BidLSTM_ChainCRF_FEATURES" |
| 35 | +) |
| 36 | + |
| 37 | +MODEL="citation" |
| 38 | + |
| 39 | +# Log directory for job outputs |
| 40 | +LOG_DIR="${HOME}/slurm_logs/train_citation_$(date +%Y%m%d_%H%M%S)" |
| 41 | +mkdir -p "$LOG_DIR" |
| 42 | + |
| 43 | +# Track submitted job IDs |
| 44 | +declare -a JOB_IDS |
| 45 | + |
| 46 | +# Function to submit a training job |
| 47 | +submit_job() { |
| 48 | + local architecture=$1 |
| 49 | + local experiment_id=$2 |
| 50 | + |
| 51 | + local job_name="train_${MODEL}_${architecture}" |
| 52 | + local log_file="${LOG_DIR}/${job_name}_%j.log" |
| 53 | + |
| 54 | + echo ">>> Submitting experiment $experiment_id: $job_name" |
| 55 | + |
| 56 | + job_id=$(sbatch $SBATCH_OPTS \ |
| 57 | + --job-name="$job_name" \ |
| 58 | + --output="$log_file" \ |
| 59 | + --error="$log_file" \ |
| 60 | + --wrap="$PYTHON_CMD $MODEL train --architecture $architecture --num-workers 6 --max-sequence-length 3000" 2>&1 | grep -oP '\d+') |
| 61 | + |
| 62 | + if [[ -n "$job_id" ]]; then |
| 63 | + JOB_IDS+=("$job_id") |
| 64 | + echo " Submitted job ID: $job_id" |
| 65 | + else |
| 66 | + echo " Warning: Failed to submit job for $job_name" |
| 67 | + fi |
| 68 | +} |
| 69 | + |
| 70 | +# Main submission loop |
| 71 | +total_experiments=${#ARCHITECTURES[@]} |
| 72 | + |
| 73 | +echo "===========================================" |
| 74 | +echo "Starting distributed training of citation model" |
| 75 | +echo "Total experiments: $total_experiments" |
| 76 | +echo "Max parallel jobs: $MAX_PARALLEL_JOBS" |
| 77 | +echo "Log directory: $LOG_DIR" |
| 78 | +echo "===========================================" |
| 79 | +echo "" |
| 80 | + |
| 81 | +experiment_count=0 |
| 82 | + |
| 83 | +for arch in "${ARCHITECTURES[@]}"; do |
| 84 | + experiment_count=$((experiment_count + 1)) |
| 85 | + submit_job "$arch" "$experiment_count" |
| 86 | +done |
| 87 | + |
| 88 | +echo "" |
| 89 | +echo "===========================================" |
| 90 | +echo "All $total_experiments experiments submitted!" |
| 91 | +echo "Job IDs: ${JOB_IDS[*]}" |
| 92 | +echo "Monitor with: squeue -u \$USER" |
| 93 | +echo "Logs in: $LOG_DIR" |
| 94 | +echo "===========================================" |
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