diff --git a/pytorch_lightning/trainer/data_loading.py b/pytorch_lightning/trainer/data_loading.py
index d66ed38a5604b..c0c66948ad524 100644
--- a/pytorch_lightning/trainer/data_loading.py
+++ b/pytorch_lightning/trainer/data_loading.py
@@ -227,17 +227,29 @@ def _reset_eval_dataloader(self, model: LightningModule, mode: str) -> Tuple[Uni
         Returns:
             Tuple (num_batches, dataloaders)
         """
-        dataloaders = self.request_dataloader(getattr(model, f'{mode}_dataloader'))
+        # use the training loader as val and test when overfitting
+        if self.overfit_pct > 0:
+            dataloaders = self.request_dataloader(getattr(model, f'train_dataloader'))
+        else:
+            dataloaders = self.request_dataloader(getattr(model, f'{mode}_dataloader'))
 
         if not isinstance(dataloaders, list):
             dataloaders = [dataloaders]
 
-        # shuffling in val and test set is bad practice
         for loader in dataloaders:
+            # shuffling in val and test set is bad practice
             if mode in ('val', 'test') and hasattr(loader, 'sampler') and isinstance(loader.sampler, RandomSampler):
-                rank_zero_warn(
-                    f'Your {mode}_dataloader has shuffle=True, it is best practice to turn'
-                    ' this off for validation and test dataloaders.')
+
+                # when overfitting, remove the randomsampler for the train loaders
+                if self.overfit_pct > 0:
+                    rank_zero_warn(
+                        f'You requested to overfit but enabled training Dataloader shuffling. Disabling it for you'
+                    )
+                    loader.sampler = SequentialSampler(loader.dataset)
+                else:
+                    rank_zero_warn(
+                        f'Your {mode}_dataloader has shuffle=True, it is best practice to turn'
+                        ' this off for validation and test dataloaders.')
 
         if any([dl is None for dl in dataloaders]):
             rank_zero_warn("One of given dataloaders is None and it will be skipped.")