diff --git a/tutorial/EpidemicLearning/config_EL.ini b/tutorial/EpidemicLearning/config_EL.ini
index ce876adabf4..39c49abd9ac 100644
--- a/tutorial/EpidemicLearning/config_EL.ini
+++ b/tutorial/EpidemicLearning/config_EL.ini
@@ -10,19 +10,23 @@ test_dir = ../../eval/data/
 sizes = 
 random_seed = 90
 partition_niid = dirichlet
-alpha = 0.1 ; alpha (dirichlet parameter)
+alpha = 0.1 
+; alpha (dirichlet parameter)
 
 [OPTIMIZER_PARAMS]
 optimizer_package = torch.optim
 optimizer_class = SGD
-lr = 0.05 ; gamma
+lr = 0.05
+; gamma
 
 [TRAIN_PARAMS]
 training_package = decentralizepy.training.Training
 training_class = Training
-rounds = 10 ; r
+rounds = 10 
+; r
 full_epochs = False
-batch_size = 5 ; b
+batch_size = 5 
+; b
 shuffle = True
 loss_package = torch.nn
 loss_class = CrossEntropyLoss
@@ -33,9 +37,11 @@ comm_class = TCP
 addresses_filepath = ip.json
 
 [SHARING]
-sharing_package = decentralizepy.sharing.PlainAverageSharing ; Does not use Metropolis-Hastings
+sharing_package = decentralizepy.sharing.PlainAverageSharing 
+; Does not use Metropolis-Hastings
 sharing_class = PlainAverageSharing
 compress = False
 
 [NODE]
-graph_degree = 7 ; s (number of neighbors in EL-Oracle and number of random neighbors picked to send message to in EL-Local)
\ No newline at end of file
+graph_degree = 7 
+; s (number of neighbors in EL-Oracle and number of random neighbors picked to send message to in EL-Local)