Update README.md

README.md

@@ -6,9 +6,6 @@ model-index:
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # 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.
@@ -19,14 +16,21 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
+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.
 
 ## Training and evaluation data
 
-More information needed
+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:
@@ -43,11 +47,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+Unfortunately, I did not set the metrics to automatically upload here. They are as follows:
 
+| Training Loss | Epoch | Step |  rouge1  |  rouge2  |  rougeL  |  rougeLsum |
+|:-------------:|:-----:|:----:|:--------:|:--------:|:--------:|:----------:|
+|    6.41979    |  2.0  | 214  | 0.584474 | 0.463574 | 0.408729 |  0.408431  |
 
 ### Framework versions
 
 - Transformers 4.21.3
 - Pytorch 1.12.1
 - Datasets 2.4.0
-- Tokenizers 0.12.1
+- Tokenizers 0.12.1