[examples] summarization/bart/finetune.py supports t5 (#3824)

renames `run_bart_sum.py` to `finetune.py`

examples/summarization/bart/test_bart_examples.py

@@ -12,7 +12,7 @@ from torch.utils.data import DataLoader
 from transformers import BartTokenizer
 
 from .evaluate_cnn import run_generate
-from .run_bart_sum import main
+from .finetune import main
 from .utils import SummarizationDataset
 
 
@@ -92,9 +92,27 @@ class TestBartExamples(unittest.TestCase):
         args_d.update(
             data_dir=tmp_dir, model_type="bart", train_batch_size=2, eval_batch_size=2, n_gpu=0, output_dir=output_dir,
         )
+        main(argparse.Namespace(**args_d))
+        args_d.update({"do_train": False, "do_predict": True})
+        main(argparse.Namespace(**args_d))
 
-        args = argparse.Namespace(**args_d)
-        main(args)
+    def test_t5_run_sum_cli(self):
+        args_d: dict = DEFAULT_ARGS.copy()
+        tmp_dir = make_test_data_dir()
+        output_dir = tempfile.mkdtemp(prefix="output_")
+        args_d.update(
+            data_dir=tmp_dir,
+            model_type="t5",
+            model_name_or_path="patrickvonplaten/t5-tiny-random",
+            train_batch_size=2,
+            eval_batch_size=2,
+            n_gpu=0,
+            output_dir=output_dir,
+            do_predict=True,
+        )
+        main(argparse.Namespace(**args_d))
+        # args_d.update({"do_train": False, "do_predict": True})
+        # main(argparse.Namespace(**args_d))
 
     def test_bart_summarization_dataset(self):
         tmp_dir = Path(tempfile.gettempdir())