diff --git a/experiments/fmnist.jl b/experiments/fmnist.jl
index ccdb1c39fef497e9d17f8c7acda5a1bbe896db3c..d911473b32e77dcadda7e4a908c1fd57151bd516 100644
--- a/experiments/fmnist.jl
+++ b/experiments/fmnist.jl
@@ -16,7 +16,7 @@ test_data = load_fashion_mnist_test()
 model_tuning_params = DEFAULT_MODEL_TUNING_LARGE
 
 # Tuning parameters:
-tuning_params = DEFAULT_GENERATOR_TUNING
+tuning_params = DEFAULT_GENERATOR_TUNING[2:end]
 push!(tuning_params.Λ, [0.1, 0.1, 3.0])
 
 # Additional models:
diff --git a/experiments/jobscripts/tuning/generators/fmnist.sh b/experiments/jobscripts/tuning/generators/fmnist.sh
index 8b19a5a0744c3091ae384faa6da6a953216aed0b..d8aefd4009829093295769ed999f8b6a82aae9bf 100644
--- a/experiments/jobscripts/tuning/generators/fmnist.sh
+++ b/experiments/jobscripts/tuning/generators/fmnist.sh
@@ -1,8 +1,8 @@
 #!/bin/bash
 
 #SBATCH --job-name="Grid-search Fashion MNIST (ECCCo)"
-#SBATCH --time=24:00:00
-#SBATCH --ntasks=2400
+#SBATCH --time=32:00:00
+#SBATCH --ntasks=1000
 #SBATCH --cpus-per-task=1
 #SBATCH --partition=compute
 #SBATCH --mem-per-cpu=8GB
diff --git a/experiments/jobscripts/tuning/generators/mnist.sh b/experiments/jobscripts/tuning/generators/mnist.sh
index 4b37cd40861965fbddf3925647082237c4a4ad69..8e1ea4fc3d3e7efa548970cb5c244060d6fd9c09 100644
--- a/experiments/jobscripts/tuning/generators/mnist.sh
+++ b/experiments/jobscripts/tuning/generators/mnist.sh
@@ -1,8 +1,8 @@
 #!/bin/bash
 
 #SBATCH --job-name="Grid-search MNIST (ECCCo)"
-#SBATCH --time=24:00:00
-#SBATCH --ntasks=2400
+#SBATCH --time=32:00:00
+#SBATCH --ntasks=1000
 #SBATCH --cpus-per-task=1
 #SBATCH --partition=compute
 #SBATCH --mem-per-cpu=8GB
diff --git a/experiments/mnist.jl b/experiments/mnist.jl
index 695fb6206580e159383fb5cfc2f6050223c33f31..388af47d89bb7bce981f6334162eecfcd4c7d890 100644
--- a/experiments/mnist.jl
+++ b/experiments/mnist.jl
@@ -16,7 +16,7 @@ test_data = load_mnist_test()
 model_tuning_params = DEFAULT_MODEL_TUNING_LARGE
 
 # Tuning parameters:
-tuning_params = DEFAULT_GENERATOR_TUNING
+tuning_params = DEFAULT_GENERATOR_TUNING[2:end]
 push!(tuning_params.Λ, [0.1, 0.1, 3.0])
 
 # Additional models: