mobio.sh 2.15 KB
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BASE_PATH=/idiap/temp/tpereira/2.FRDemographics/regularization/models/contrastive/mobio-male-female/

#COMMAND=./bob/bio/demographics/script/train_regularization_level_fairness_commands.py



BACKBONE=iresnet50

jman submit --name C.IRESNET50 -q gpu --sge-extra-args="-l hostname=vgni001|vgni00[1-9]|vgni01[0-9]|vgni02[0-9]|vgni03[0-2]|vgnh00[1-8]|vgng00[1-8]|vgnf00[1-9]|vgnf01[1-6]" -- ./bin/bob bio demographics train-regularization-level-fairness train-contrastive \
 $BASE_PATH/$BACKBONE \
 --database ./bob/bio/demographics/config/train/databases/mobio/mobio-male-female.py \
 --identity-backbone ./bob/bio/demographics/config/train/backbones/$BACKBONE.py \
 --training-config ./bob/bio/demographics/config/train/training_configs/regular_sgd_crossentropy.py \
 --max-epochs 50 --batch-size 64 \
 --max-positive-pairs-per-subject 20 --negative-pairs-per-subject 20

 
BACKBONE=iresnet100

jman submit --name C.IRESNET100 -q gpu --sge-extra-args="-l hostname=vgni001|vgni00[1-9]|vgni01[0-9]|vgni02[0-9]|vgni03[0-2]|vgnh00[1-8]|vgng00[1-8]|vgnf00[1-9]|vgnf01[1-6]" -- ./bin/bob bio demographics train-regularization-level-fairness train-contrastive \
 $BASE_PATH/$BACKBONE \
 --database ./bob/bio/demographics/config/train/databases/mobio/mobio-male-female.py \
 --identity-backbone ./bob/bio/demographics/config/train/backbones/$BACKBONE.py \
 --training-config ./bob/bio/demographics/config/train/training_configs/regular_sgd_crossentropy.py \
 --max-epochs 50 --batch-size 64 \
 --max-positive-pairs-per-subject 20 --negative-pairs-per-subject 20




BACKBONE=iresnet34

#jman submit --name C.IRESNET34 -q gpu --sge-extra-args="-l hostname=vgni001|vgni00[1-9]|vgni01[0-9]|vgni02[0-9]|vgni03[0-2]" -- ./bin/bob bio demographics train-regularization-level-fairness train-contrastive \
#  $BASE_PATH/$BACKBONE \
# --database ./bob/bio/demographics/config/train/databases/mobio/mobio-male-female.py \
# --identity-backbone ./bob/bio/demographics/config/train/backbones/$BACKBONE.py \
# --training-config ./bob/bio/demographics/config/train/training_configs/regular_sgd_crossentropy.py \
# --max-epochs 50 --batch-size 128 \
# --max-positive-pairs-per-subject 20 --negative-pairs-per-subject 20