change default value of batch size

examples/text_summarization/extractive_summarization_cnndm_distributed_train.py

@@ -86,8 +86,10 @@ parser.add_argument("--learning_rate", type=float, default=1e-3, help="Learning
 parser.add_argument(
     "--batch_size",
     type=int,
-    default=3000,
-    help="batch size in terms of input token numbers in training",
+    default=5,
+    help="batch size in terms of the number of samples in training",
+    # default=3000,
+    # help="batch size in terms of input token numbers in training",
 )
 parser.add_argument(
     "--max_steps",
@@ -208,7 +210,7 @@ def main_worker(local_rank, ngpus_per_node, summarizer, args):
     summarizer.fit(
         ext_sum_train,
         num_gpus=world_size,
-        batch_size=5,  # args.batch_size,
+        batch_size=args.batch_size,
         gradient_accumulation_steps=1,
         max_steps=MAX_STEPS / world_size,
         learning_rate=args.learning_rate,