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b4b2877 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | #!/bin/bash
# Action Prediction via Verb-Category Classification (20 classes)
# Transformer classifier + data augmentation + label smoothing + class weights
# Total: 9 jobs
PYTHON=python
BASEDIR=${PULSE_ROOT}
TRAIN_SCRIPT=${BASEDIR}/experiments/tasks/train_pred_cls.py
OUTDIR=${BASEDIR}/results/pred_cls
LOGDIR=${OUTDIR}/slurm_logs
mkdir -p $LOGDIR
COMMON="--epochs 80 --batch_size 32 --lr 1e-3 --weight_decay 1e-4 --hidden_dim 64 --downsample 5 --patience 20 --seed 42 --augment --noise_std 0.1 --time_mask_ratio 0.1 --label_smoothing 0.1 --output_dir $OUTDIR --window_sec 15.0"
MODS=("imu" "emg" "mocap" "emg,imu" "mocap,imu" "mocap,emg,imu" "mocap,emg,eyetrack" "mocap,emg,eyetrack,imu" "mocap,emg,eyetrack,imu,pressure")
for mods in "${MODS[@]}"; do
mod_tag=$(echo $mods | tr ',' '-')
sbatch \
-J "pcls_${mod_tag}" \
-p gpuA800 \
--gres=gpu:1 \
-N 1 -n 1 \
--cpus-per-task=4 \
--mem=32G \
-t 2:00:00 \
-o "${LOGDIR}/${mod_tag}_%j.out" \
-e "${LOGDIR}/${mod_tag}_%j.err" \
--export=ALL \
--wrap="export PYTHONUNBUFFERED=1; cd ${BASEDIR}; $PYTHON $TRAIN_SCRIPT --modalities $mods $COMMON"
echo "Submitted: $mods"
done
echo ""
echo "Total: 9 jobs"
echo "Classes: 20 verb categories"
echo "Results: $OUTDIR"
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