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models/vgg16_fig1/_sam_0.05vgg16_1_100.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9911152b7823df2b5e26bfebbe7826e95903ed0b3e0acac7de22397e87b07c67
+size 58954193

models/vgg16_fig1/_sgd_0vgg16_1_100.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7d549f143b3f7cf2849b8112bdc2d36e8edddb5dca44327eb46ded01b42e1bd4
+size 58953935

models/vgg16_fig1/dirty_mnist_vgg16_sam_005_command.txt

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+CUDA_VISIBLE_DEVICES=0 nohup python train.py \
+    --seed 1 \
+    --dataset dirty_mnist \
+    --dataset-root ./amnist/ \
+    --model vgg16 \
+    --opt sam \
+    -e 100 \
+    --coeff 3.0 \
+    --save-interval 50 \
+    --save-path models/ \
+    --rho 0.05 \
+    > train_.log 2>&1 &

models/vgg16_fig1/dirty_mnist_vgg16_sgd_000_command.txt

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+CUDA_VISIBLE_DEVICES=3 nohup python train.py \
+    --seed 1 \
+    --dataset dirty_mnist \
+    --dataset-root ./amnist/ \
+    --model vgg16 \
+    --opt sgd \
+    -e 100 \
+    --coeff 3.0 \
+    --save-interval 50 \
+    --save-path models/ \
+    > train1_.log 2>&1 &