diff --git a/results/cifar10/clique-ring/experiments.sh b/results/cifar10/clique-ring/experiments.sh
index 35fcd2967a0bc180c15bababbfc29dd0e9a53de2..94a4f986fbe4042ce70022814e38035b1975d13e 100755
--- a/results/cifar10/clique-ring/experiments.sh
+++ b/results/cifar10/clique-ring/experiments.sh
@@ -8,7 +8,7 @@ LRS='
     '
 for BSZ in $BSZS; 
     do for LR in $LRS;
-        do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 1 1 1 1 1 1 1 1 1 1 --dist-optimization d-psgd --topology clique-ring --metric dissimilarity --learning-momentum 0.9 --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --single-process --nb-logging-processes 10 --dataset cifar10 --model gn-lenet --clique-gradient --initial-averaging --accuracy-logging-interval 10 --validtion-set-ratio 0.5
+        do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 1 1 1 1 1 1 1 1 1 1 --dist-optimization d-psgd --topology clique-ring --metric dissimilarity --learning-momentum 0.9 --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --single-process --nb-logging-processes 10 --dataset cifar10 --model gn-lenet --clique-gradient --initial-averaging --accuracy-logging-interval 10 --validation-set-ratio 0.5
     done;
 done;
 
diff --git a/results/cifar10/fully-connected-cliques/experiments.sh b/results/cifar10/fully-connected-cliques/experiments.sh
index d0218637ffe8d88f5bee22d0b5127533574509bb..aa6d68409c1c1efcaccc2dfae6db68d1c0b4f45a 100755
--- a/results/cifar10/fully-connected-cliques/experiments.sh
+++ b/results/cifar10/fully-connected-cliques/experiments.sh
@@ -8,7 +8,7 @@ LRS='
     '
 for BSZ in $BSZS; 
     do for LR in $LRS;
-        do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 1 1 1 1 1 1 1 1 1 1 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0.9 --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --single-process --nb-logging-processes 10 --dataset cifar10 --model gn-lenet --clique-gradient --initial-averaging --accuracy-logging-interval 10 --validtion-set-ratio 0.5
+        do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 1 1 1 1 1 1 1 1 1 1 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0.9 --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --single-process --nb-logging-processes 10 --dataset cifar10 --model gn-lenet --clique-gradient --initial-averaging --accuracy-logging-interval 10 --validation-set-ratio 0.5
     done;
 done;