diff --git a/_paramters.py b/_paramters.py
index 83d2b4e..17cac75 100644
--- a/_paramters.py
+++ b/_paramters.py
@@ -34,8 +34,8 @@ main_arg_parser.add_argument("--data_shift_ratio", type=float, default=0.3, help
 main_arg_parser.add_argument("--data_noise_ratio", type=float, default=0, help="")  # 0.4
 main_arg_parser.add_argument("--data_mask_ratio", type=float, default=0, help="")  # 0.2
 main_arg_parser.add_argument("--data_speed_amount", type=float, default=0, help="")  # 0.3
-main_arg_parser.add_argument("--data_speed_min", type=float, default=0, help="")  # 0.7
-main_arg_parser.add_argument("--data_speed_max", type=float, default=0, help="")  # 1.7
+main_arg_parser.add_argument("--data_speed_min", type=float, default=0.7, help="")  # 0.7
+main_arg_parser.add_argument("--data_speed_max", type=float, default=1.7, help="")  # 1.7
 
 # Model Parameters
 main_arg_parser.add_argument("--model_type", type=str, default="RCC", help="")
diff --git a/datasets/binar_masks.py b/datasets/binar_masks.py
index ea4e3f6..6b0bb08 100644
--- a/datasets/binar_masks.py
+++ b/datasets/binar_masks.py
@@ -51,7 +51,6 @@ class BinaryMasksDataset(Dataset):
             additional_dict = ({f'X{key}': val for key, val in labeldict.items()})
             additional_dict.update({f'XX{key}': val for key, val in labeldict.items()})
             additional_dict.update({f'XXX{key}': val for key, val in labeldict.items()})
-            additional_dict.update({f'XXXX{key}': val for key, val in labeldict.items()})
             labeldict.update(additional_dict)
 
         # Delete File if one exists.
diff --git a/multi_run.py b/multi_run.py
index 85cede6..3f4191f 100644
--- a/multi_run.py
+++ b/multi_run.py
@@ -30,21 +30,20 @@ if __name__ == '__main__':
             all_conf = dict(data_speed_factor=0.7, data_speed_ratio=0.4, data_mask_ratio=0.2,
                             data_noise_ratio=0.4, data_shift_ratio=0.4, data_loudness_ratio=0.4,
                             data_stretch=True, train_epochs=101)
-            speed_conf = dict(data_speed_factor=0.7, data_speed_ratio=0.4, data_mask_ratio=0.0,
-                              data_noise_ratio=0.0, data_shift_ratio=0.0, data_loudness_ratio=0.0,
+            speed_conf = raw_conf.copy()
+            speed_conf.update(data_speed_amount=0.4, data_speed_min=0.7, data_speed_max=1.7,
                               data_stretch=True, train_epochs=101)
-            mask_conf = dict(data_speed_factor=0.0, data_speed_ratio=0.0, data_mask_ratio=0.2,
-                             data_noise_ratio=0.0, data_shift_ratio=0.0, data_loudness_ratio=0.0,
-                             data_stretch=True, train_epochs=101)
-            noise_conf = dict(data_speed_factor=0.0, data_speed_ratio=0.0, data_mask_ratio=0.0,
-                              data_noise_ratio=0.4, data_shift_ratio=0.0, data_loudness_ratio=0.0,
-                              data_stretch=True, train_epochs=101)
-            shift_conf = dict(data_speed_factor=0.0, data_speed_ratio=0.0, data_mask_ratio=0.0,
-                              data_noise_ratio=0.0, data_shift_ratio=0.4, data_loudness_ratio=0.0,
-                              data_stretch=True, train_epochs=101)
-            loudness_conf = dict(data_speed_factor=0.0, data_speed_ratio=0.0, data_mask_ratio=0.0,
-                                 data_noise_ratio=0.0, data_shift_ratio=0.0, data_loudness_ratio=0.4,
-                                 data_stretch=True, train_epochs=101)
+            mask_conf = raw_conf.copy()
+            mask_conf.update(data_mask_ratio=0.2, data_stretch=True, train_epochs=101)
+
+            noise_conf = raw_conf.copy()
+            noise_conf.update(data_noise_ratio=0.4, data_stretch=True, train_epochs=101)
+
+            shift_conf = raw_conf.copy()
+            shift_conf.update(data_shift_ratio=0.4, data_stretch=True, train_epochs=101)
+
+            loudness_conf = raw_conf.copy()
+            loudness_conf.update(data_loudness_ratio=0.4, data_stretch=True, train_epochs=101)
 
             for dicts in [raw_conf, all_conf, speed_conf, mask_conf, noise_conf, shift_conf, loudness_conf]: