Upgrade PyTorch Lightning to 1.0.2 (#7852)

Co-authored-by: Sam Shleifer <sshleifer@gmail.com>

examples/lightning_base.py

@@ -337,7 +337,7 @@ def add_generic_args(parser, root_dir) -> None:
 def generic_train(
     model: BaseTransformer,
     args: argparse.Namespace,
-    early_stopping_callback=False,
+    early_stopping_callback=None,
     logger=True,  # can pass WandbLogger() here
     extra_callbacks=[],
     checkpoint_callback=None,
@@ -355,6 +355,8 @@ def generic_train(
         checkpoint_callback = pl.callbacks.ModelCheckpoint(
             filepath=args.output_dir, prefix="checkpoint", monitor="val_loss", mode="min", save_top_k=1
         )
+    if early_stopping_callback:
+        extra_callbacks.append(early_stopping_callback)
     if logging_callback is None:
         logging_callback = LoggingCallback()
 
@@ -376,7 +378,6 @@ def generic_train(
         callbacks=[logging_callback] + extra_callbacks,
         logger=logger,
         checkpoint_callback=checkpoint_callback,
-        early_stop_callback=early_stopping_callback,
         **train_params,
     )