Update README.md

README.md

@@ -4,22 +4,26 @@ tags:
 model-index:
 - name: pegasus-multi_news-NewsSummarization_BBC
   results: []
+language:
+- en
+metrics:
+- rouge
+pipeline_tag: summarization
 ---
 
 # pegasus-multi_news-NewsSummarization_BBC
 
-This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news) on the None dataset.
+This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news).
 
 ## Model description
 
-More information needed
+This is a text summarization model of news articles.
+
+For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Text%20Summarization/Text_Summarization_BBC_News-Pegasus.ipynb
 
 ## Intended uses & limitations
 
-I used this to improve my skillset. I thank all of authors of the different technologies and 
-dataset(s) for their contributions that have this possible. I am not too worried about getting 
-credit for my part, but make sure to properly cite the authors of the different technologies 
-and dataset(s) as they absolutely deserve credit for their contributions.
+This model is intended to demonstrate my ability to solve a complex problem using technology.
 
 ## Training and evaluation data
 
@@ -27,10 +31,6 @@ Dataset Source: https://www.kaggle.com/datasets/pariza/bbc-news-summary
 
 ## Training procedure
 
-Here is the link to the script that I created to train this project: 
-
-https://github.com/DunnBC22/NLP_Projects/blob/main/Text%20Summarization/Text_Summarization_BBC_News-Pegasus.ipynb
-
 ### Training hyperparameters
 
 The following hyperparameters were used during training: