Update README.md

README.md

@@ -44,6 +44,23 @@ More information needed
 
 More information needed
 
+## Usage
+
+You can use this model directly with a pipeline for masked language modeling:
+
+```python
+>>> from transformers import pipeline
+>>> translator = pipeline('translation', model='chunwoolee0/kd4_opus-mt-ko-e')
+>>> translator("점심 식사 후에 산책가자.")
+
+[{'translation_text': "Let's go for a walk after noon."}]
+
+>>> translator("이 강좌는 허깅페이스가 만든 거야.")
+[{'translation_text': 'This is a course by Huggingspace.'}]
+
+>>> translator("오늘은 늦게 일어났다.")
+[{'translation_text': "I'm up late today."}]
+```
 ## Training and evaluation data
 
 More information needed
@@ -63,7 +80,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-
+Step	Training Loss
+500	1.858500
+1000	1.781400
+1500	1.715200
+2000	1.678100
+2500	1.546600
+3000	1.488700
+3500	1.503500
+4000	1.455100
+4500	1.419100
+5000	1.393400
+5500	1.357100
+6000	1.339400
+TrainOutput(global_step=6474, training_loss=1.532715692246148, 
+metrics={'train_runtime': 1035.7775, 'train_samples_per_second': 199.957, 
+'train_steps_per_second': 6.25, 'total_flos': 2551308264603648.0, 
+'train_loss': 1.532715692246148, 'epoch': 3.0})
 
 ### Framework versions