diff --git a/explaining_framework/metric/base.py b/explaining_framework/metric/base.py
index fc18ed5..d55250c 100644
--- a/explaining_framework/metric/base.py
+++ b/explaining_framework/metric/base.py
@@ -39,7 +39,6 @@ class Metric(ABC):
             **kwargs (optional): Additional keyword arguments passed to the
                 model.
         """
-        print(args, kwargs)
 
         with torch.no_grad():
             out = self.model(*args, **kwargs)[0]
diff --git a/explaining_framework/utils/explanation/adjust.py b/explaining_framework/utils/explanation/adjust.py
index 1aa639f..726e65e 100644
--- a/explaining_framework/utils/explanation/adjust.py
+++ b/explaining_framework/utils/explanation/adjust.py
@@ -64,7 +64,5 @@ class Adjust(object):
             return mask
 
     def absolute(self, mask: FloatTensor) -> FloatTensor:
-        print("######################### MASK")
-        print(mask)
         mask_ = torch.abs(mask)
         return mask_
diff --git a/explaining_framework/utils/explanation/io.py b/explaining_framework/utils/explanation/io.py
index 6a31567..ab66334 100644
--- a/explaining_framework/utils/explanation/io.py
+++ b/explaining_framework/utils/explanation/io.py
@@ -26,7 +26,6 @@ def explanation_verification(exp: Explanation) -> bool:
 def save_explanation(exp: Explanation, path: str) -> None:
     data = copy.copy(exp).to_dict()
     for k, v in data.items():
-        print(k, v)
         if isinstance(v, torch.Tensor):
             data[k] = v.detach().cpu().tolist()