diff --git a/src/gz21_ocean_momentum/train/base.py b/src/gz21_ocean_momentum/train/base.py
index 1c577787..46beb891 100755
--- a/src/gz21_ocean_momentum/train/base.py
+++ b/src/gz21_ocean_momentum/train/base.py
@@ -117,16 +117,12 @@ def train_for_one_epoch(
         self._locked = True
         running_loss = RunningAverage()
         running_loss_ = RunningAverage()
-        print(len(dataloader))
         for i, (feature, target) in enumerate(dataloader):
-            print("SAMPLE: start")
             # Zero the gradients
             self.net.zero_grad()
-            print("SAMPLE: zerod grad")
             # Move batch to the GPU (if possible)
             feature = feature.to(self._device, dtype=torch.float)
             target  =  target.to(self._device, dtype=torch.float)
-            print("SAMPLE: moved to device")
             # predict with input
             predict = self.net(feature)
             # Compute loss
@@ -147,7 +143,6 @@ def train_for_one_epoch(
         # Update the learning rate via the scheduler
         if scheduler is not None:
             scheduler.step()
-        print("end loop")
         return running_loss.value
 
     def test(self, dataloader) -> float: