Update README.md

README.md

@@ -1,6 +1,9 @@
 ---
+language: ko
 tags:
-- generated_from_trainer
+- summarization
+- news
+inference: false
 model-index:
 - name: KoBigBird-KoBart-News-Summarization
   results: []
@@ -11,25 +14,36 @@ should probably proofread and complete it, then remove this comment. -->
 
 # KoBigBird-KoBart-News-Summarization
 
-This model is a fine-tuned version of [noahkim/KoBigBird-KoBart-News-Summarization](https://huggingface.co/noahkim/KoBigBird-KoBart-News-Summarization) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 4.1236
+This model is a fine-tuned version of [noahkim/KoBigBird-KoBart-News-Summarization](https://huggingface.co/noahkim/KoBigBird-KoBart-News-Summarization) on the [daekeun-ml/naver-news-summarization-ko](https://huggingface.co/datasets/daekeun-ml/naver-news-summarization-ko)
+
 
 ## Model description
 
-More information needed
+<<20221110  Commit>>
+
+<<KoBigBird-KoBart-News-Summarization 모델 설명>>
+다중문서요약(Multi-Document-Summarization) Task를 위해서 KoBigBird 모델을 Encoder-Decoder모델을 만들어서 학습을 진행했습니다. KoBigBird를 Decoder로 쓰려고 했으나 오류가 생겨서 요약에 특화된 KoBART의 Decoder를 활용해서 모델을 생성했습니다.
 
-## Intended uses & limitations
+프로젝트용으로 뉴스 요약 모델 특화된 모델을 만들기 위해 기존에 만들었던 KoBigBird-KoBart-News-Summarization 모델에 추가적으로 daekeun-ml님이 제공해주신 naver-news-summarization-ko 데이터셋으로 파인튜닝 했습니다.
 
-More information needed
+현재 AI-HUB에서 제공하는 요약 데이터를 추가 학습 진행 예정입니다.
+지속적으로 발전시켜 좋은 성능의 모델을 구현하겠습니다.
+감사합니다.
 
-## Training and evaluation data
+실행환경
+- Google Colab Pro
+- CPU : Intel(R) Xeon(R) CPU @ 2.20GHz
+- GPU : A100-SXM4-40GB
 
-More information needed
+<pre><code>
+# Python Code
+from transformers import AutoTokenizer
+from transformers import AutoModelForSeq2SeqLM
 
-## Training procedure
+tokenizer = AutoTokenizer.from_pretrained("noahkim/KoT5_news_summarization")
+model = AutoModelForSeq2SeqLM.from_pretrained("noahkim/KoT5_news_summarization")
+</pre></code> 
 
-### Training hyperparameters
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05