diff --git a/eval/config_celeba_100.ini b/eval/config_celeba_100.ini
new file mode 100644
index 0000000000000000000000000000000000000000..dcaff4f2146e795e58bc15af2c8253a1ebeba031
--- /dev/null
+++ b/eval/config_celeba_100.ini
@@ -0,0 +1,33 @@
+[DATASET]
+dataset_package = decentralizepy.datasets.Celeba
+dataset_class = Celeba
+model_class = CNN
+n_procs = 96
+images_dir = /home/risharma/leaf/data/celeba/data/raw/img_align_celeba
+train_dir = /home/risharma/leaf/data/celeba/per_user_data/train
+test_dir = /home/risharma/leaf/data/celeba/data/test
+; python list of fractions below
+sizes = 
+
+[OPTIMIZER_PARAMS]
+optimizer_package = torch.optim
+optimizer_class = Adam
+lr = 0.001
+
+[TRAIN_PARAMS]
+training_package = decentralizepy.training.Training
+training_class = Training
+epochs_per_round = 5
+batch_size = 512
+shuffle = True
+loss_package = torch.nn
+loss_class = CrossEntropyLoss
+
+[COMMUNICATION]
+comm_package = decentralizepy.communication.TCP
+comm_class = TCP
+addresses_filepath = ip_addr_6Machines.json
+
+[SHARING]
+sharing_package = decentralizepy.sharing.Sharing
+sharing_class = Sharing
diff --git a/src/decentralizepy/datasets/Celeba.py b/src/decentralizepy/datasets/Celeba.py
index 687d58f2d9776ee9de4b00a2156761bc9aee74cb..748f59623e47fa5ce82ceb7968eabccc2651ca03 100644
--- a/src/decentralizepy/datasets/Celeba.py
+++ b/src/decentralizepy/datasets/Celeba.py
@@ -115,8 +115,8 @@ class Celeba(Dataset):
             .transpose(0, 3, 1, 2)  # Channel first: torch
         )
         self.train_y = np.array(my_train_data["y"], dtype=np.dtype("int64")).reshape(-1)
-        logging.debug("train_x.shape: %s", str(self.train_x.shape))
-        logging.debug("train_y.shape: %s", str(self.train_y.shape))
+        logging.info("train_x.shape: %s", str(self.train_x.shape))
+        logging.info("train_y.shape: %s", str(self.train_y.shape))
         assert self.train_x.shape[0] == self.train_y.shape[0]
         assert self.train_x.shape[0] > 0
 
@@ -134,8 +134,8 @@ class Celeba(Dataset):
             .transpose(0, 3, 1, 2)
         )
         self.test_y = np.array(test_y, dtype=np.dtype("int64")).reshape(-1)
-        logging.debug("test_x.shape: %s", str(self.test_x.shape))
-        logging.debug("test_y.shape: %s", str(self.test_y.shape))
+        logging.info("test_x.shape: %s", str(self.test_x.shape))
+        logging.info("test_y.shape: %s", str(self.test_y.shape))
         assert self.test_x.shape[0] == self.test_y.shape[0]
         assert self.test_x.shape[0] > 0
 
diff --git a/src/decentralizepy/datasets/Femnist.py b/src/decentralizepy/datasets/Femnist.py
index 3bdf6cd227c460c6fec242ec61b650b24cd1412a..7370a0d07ab77ce52e6db4dfa1cde8bd7255ba80 100644
--- a/src/decentralizepy/datasets/Femnist.py
+++ b/src/decentralizepy/datasets/Femnist.py
@@ -113,8 +113,8 @@ class Femnist(Dataset):
             .transpose(0, 3, 1, 2)
         )
         self.train_y = np.array(my_train_data["y"], dtype=np.dtype("int64")).reshape(-1)
-        logging.debug("train_x.shape: %s", str(self.train_x.shape))
-        logging.debug("train_y.shape: %s", str(self.train_y.shape))
+        logging.info("train_x.shape: %s", str(self.train_x.shape))
+        logging.info("train_y.shape: %s", str(self.train_y.shape))
         assert self.train_x.shape[0] == self.train_y.shape[0]
         assert self.train_x.shape[0] > 0
 
@@ -134,8 +134,8 @@ class Femnist(Dataset):
             .transpose(0, 3, 1, 2)
         )
         self.test_y = np.array(test_y, dtype=np.dtype("int64")).reshape(-1)
-        logging.debug("test_x.shape: %s", str(self.test_x.shape))
-        logging.debug("test_y.shape: %s", str(self.test_y.shape))
+        logging.info("test_x.shape: %s", str(self.test_x.shape))
+        logging.info("test_y.shape: %s", str(self.test_y.shape))
         assert self.test_x.shape[0] == self.test_y.shape[0]
         assert self.test_x.shape[0] > 0