fix the shuffle agrument usage and the default (#6307)

examples/text-classification/run_pl_glue.py

@@ -75,7 +75,7 @@ class GLUETransformer(BaseTransformer):
                 logger.info("Saving features into cached file %s", cached_features_file)
                 torch.save(features, cached_features_file)
 
-    def get_dataloader(self, mode: int, batch_size: int, shuffle: bool) -> DataLoader:
+    def get_dataloader(self, mode: int, batch_size: int, shuffle: bool = False) -> DataLoader:
         "Load datasets. Called after prepare data."
 
         # We test on dev set to compare to benchmarks without having to submit to GLUE server
@@ -95,7 +95,7 @@ class GLUETransformer(BaseTransformer):
         return DataLoader(
             TensorDataset(all_input_ids, all_attention_mask, all_token_type_ids, all_labels),
             batch_size=batch_size,
-            shuffle=True,
+            shuffle=shuffle,
         )
 
     def validation_step(self, batch, batch_idx):