diff --git a/n3fit/runcards/examples/architecture_mod/runcard_no_mod.yml b/n3fit/runcards/examples/architecture_mod/runcard_no_mod.yml
index 0a4459eb6a..05f1420a8e 100644
--- a/n3fit/runcards/examples/architecture_mod/runcard_no_mod.yml
+++ b/n3fit/runcards/examples/architecture_mod/runcard_no_mod.yml
@@ -3,7 +3,7 @@
 #
 
 ############################################################
-description: Architecture Testing - No modifications
+description: Architecture Testing - With Input --> last layer skip-connection
 
 dataset_inputs:
 # Fixed target DIS
@@ -61,7 +61,7 @@ parameters: # This defines the parameter dictionary that is passed to the Model
   initializer: glorot_normal
   optimizer:
     clipnorm: 0.001
-    learning_rate: 0.01
+    learning_rate: 0.001
     optimizer_name: Nadam
   epochs: 5000
   positivity:
diff --git a/n3fit/runcards/examples/architecture_mod/runcard_skip_connections.yml b/n3fit/runcards/examples/architecture_mod/runcard_skip_connections.yml
index 8ec1928b2d..c6a1c9c364 100644
--- a/n3fit/runcards/examples/architecture_mod/runcard_skip_connections.yml
+++ b/n3fit/runcards/examples/architecture_mod/runcard_skip_connections.yml
@@ -62,7 +62,7 @@ parameters: # This defines the parameter dictionary that is passed to the Model
   initializer: glorot_normal
   optimizer:
     clipnorm: 0.001
-    learning_rate: 0.01
+    learning_rate: 0.001
     optimizer_name: Nadam
   epochs: 5000
   positivity:
diff --git a/n3fit/runcards/examples/architecture_mod/runcard_skip_full.yml b/n3fit/runcards/examples/architecture_mod/runcard_skip_full.yml
index bae4928fa7..d79e338791 100644
--- a/n3fit/runcards/examples/architecture_mod/runcard_skip_full.yml
+++ b/n3fit/runcards/examples/architecture_mod/runcard_skip_full.yml
@@ -3,7 +3,7 @@
 #
 
 ############################################################
-description: Architecture Testing - Fully Connected Network
+description: Architecture Testing - With Input --> last layer skip-connection
 
 dataset_inputs:
 # Fixed target DIS
@@ -62,7 +62,7 @@ parameters: # This defines the parameter dictionary that is passed to the Model
   initializer: glorot_normal
   optimizer:
     clipnorm: 0.001
-    learning_rate: 0.01
+    learning_rate: 0.001
     optimizer_name: Nadam
   epochs: 5000
   positivity: