Update README.md

README.md

@@ -13,22 +13,51 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ke_t5_base_bongsoo_ko_en_epoch2
 
-This model is a fine-tuned version of [chunwoolee0/ke_t5_base_bongsoo_ko_en](https://huggingface.co/chunwoolee0/ke_t5_base_bongsoo_ko_en) on an unknown dataset.
+This model is a fine-tuned version of [chunwoolee0/ke_t5_base_bongsoo_ko_en](https://huggingface.co/chunwoolee0/ke_t5_base_bongsoo_ko_en) 
+on  [bongsoo/news_news_talk_en_ko](https://huggingface.co/datasets/bongsoo/news_talk_ko_en) dataset.
 
 ## Model description
 
-More information needed
+KE-T5 is a pretrained-model of t5 text-to-text transfer transformers 
+using the Korean and English corpus developed by KETI (한국전자연구원).
+The vocabulary used by KE-T5 consists of 64,000 sub-word tokens 
+and was created using Google's sentencepiece. 
+The Sentencepiece model was trained to cover 99.95% of a 30GB corpus 
+with an approximate 7:3 mix of Korean and English.
 
 ## Intended uses & limitations
 
-More information needed
+Translation from Korean to English :  epoch = 2
+
+```python
+>>> from transformers import pipeline
+>>> translator = pipeline('translation', model='chunwoolee0/ke_t5_base_bongsoo_en_ko')
+
+>>> translator("나는 습관적으로 점심식사 후에 산책을 한다.")
+[{'translation_text': 'I habitally walk after lunch.'}]
+
+>>> translator("이 강좌는 허깅페이스가 만든 거야.")
+[{'translation_text': 'This class was created by Huggface.'}]
+
+>>> translator("오늘은 늦게 일어났다.")
+[{'translation_text': 'This day I woke up earlier.'}]
+```
+
 
 ## Training and evaluation data
 
-More information needed
+[bongsoo/news_news_talk_en_ko](https://huggingface.co/datasets/bongsoo/news_talk_ko_en)
+
+train : 360000 rows
+test:    20000 rows
+validation 20000 rows
 
 ## Training procedure
 
+Use chunwoolee0/ke_t5_base_bongsoo_ko_en as a pretrained model checkpoint.
+max_token_length is set to 64 for stable training.
+learing rate is reduced from 0.0005 for epoch 1 to 0.00002 here.
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -48,6 +77,10 @@ The following hyperparameters were used during training:
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
 | No log        | 1.0   | 5625 | 1.6646          | 12.5566 |
 
+TrainOutput(global_step=5625, training_loss=1.8157017361111112, 
+metrics={'train_runtime': 11137.6996, 'train_samples_per_second': 32.323, 
+'train_steps_per_second': 0.505, 'total_flos': 2.056934156746752e+16, 
+'train_loss': 1.8157017361111112, 'epoch': 1.0})
 
 ### Framework versions