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Fll+mdca with fll-2.sh
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Fll+mdca with fll-2.sh
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# svhn
export CUDA_VISIBLE_DEVICES="6,7"
# python train.py \
# --dataset svhn \
# --model resnet56 \
# --schedule-steps 80 120 \
# --epochs 160 \
# --loss focal_loss --gamma 1.0
# python train.py \
# --dataset svhn \
# --model resnet56 \
# --schedule-steps 80 120 \
# --epochs 160 \
# --loss focal_loss --gamma 2.0
# python train.py \
# --dataset svhn \
# --model resnet56 \
# --schedule-steps 80 120 \
# --epochs 160 \
# --loss focal_loss --gamma 3.0
# # gamma=3.0
# python train.py \
# --dataset svhn \
# --model resnet56 \
# --schedule-steps 80 120 \
# --epochs 160 \
# --loss FL+MDCA --gamma 3.0 --beta 1.0
# python train.py \
# --dataset svhn \
# --model resnet56 \
# --schedule-steps 80 120 \
# --epochs 160 \
# --loss FL+MDCA --gamma 3.0 --beta 5.0
# python train.py \
# --dataset svhn \
# --model resnet56 \
# --schedule-steps 80 120 \
# --epochs 160 \
# --loss FL+MDCA --gamma 3.0 --beta 10.0
# python train.py \
# --dataset svhn \
# --model resnet56 \
# --schedule-steps 80 120 \
# --epochs 160 \
# --loss FL+MDCA --gamma 3.0 --beta 20.0
# gamma=2.0
python train.py \
--dataset svhn \
--model resnet56 \
--schedule-steps 80 120 \
--epochs 160 \
--loss FL+MDCA --gamma 2.0 --beta 1.0
python train.py \
--dataset svhn \
--model resnet56 \
--schedule-steps 80 120 \
--epochs 160 \
--loss FL+MDCA --gamma 2.0 --beta 5.0
python train.py \
--dataset svhn \
--model resnet56 \
--schedule-steps 80 120 \
--epochs 160 \
--loss FL+MDCA --gamma 2.0 --beta 10.0
python train.py \
--dataset svhn \
--model resnet56 \
--schedule-steps 80 120 \
--epochs 160 \
--loss FL+MDCA --gamma 2.0 --beta 20.0
# gamma=1.0
python train.py \
--dataset svhn \
--model resnet56 \
--schedule-steps 80 120 \
--epochs 160 \
--loss FL+MDCA --gamma 1.0 --beta 1.0
python train.py \
--dataset svhn \
--model resnet56 \
--schedule-steps 80 120 \
--epochs 160 \
--loss FL+MDCA --gamma 1.0 --beta 5.0
python train.py \
--dataset svhn \
--model resnet56 \
--schedule-steps 80 120 \
--epochs 160 \
--loss FL+MDCA --gamma 1.0 --beta 10.0
python train.py \
--dataset svhn \
--model resnet56 \
--schedule-steps 80 120 \
--epochs 160 \
--loss FL+MDCA --gamma 1.0 --beta 20.0