diff --git a/README.md b/README.md
index fb159d1..5ab264a 100644
--- a/README.md
+++ b/README.md
@@ -55,7 +55,7 @@ bert-dataset -d data/corpus.small -v data/corpus.small.vocab -o data/dataset.sma
 
 ### 3. Train your own BERT model
 ```shell
-bert -d data/dataset.small -v data/corpus.small.vocab -o output/
+bert -d data/dataset.small -v data/corpus.small.vocab -o output/bert.model
 ```
 
 ## Language Model Pre-training
diff --git a/bert_pytorch/train.py b/bert_pytorch/train.py
index 618ce53..d6887de 100644
--- a/bert_pytorch/train.py
+++ b/bert_pytorch/train.py
@@ -13,7 +13,7 @@ def train():
     parser.add_argument("-d", "--train_dataset", required=True, type=str)
     parser.add_argument("-t", "--test_dataset", type=str, default=None)
     parser.add_argument("-v", "--vocab_path", required=True, type=str)
-    parser.add_argument("-o", "--output_dir", required=True, type=str)
+    parser.add_argument("-o", "--output_path", required=True, type=str)
 
     parser.add_argument("-hs", "--hidden", type=int, default=256)
     parser.add_argument("-n", "--layers", type=int, default=8)
@@ -61,7 +61,7 @@ def train():
     print("Training Start")
     for epoch in range(args.epochs):
         trainer.train(epoch)
-        trainer.save(args.output_dir, epoch)
+        trainer.save(args.output_path, epoch)
 
         if test_data_loader is not None:
             trainer.test(epoch)