Update README.md

README.md

@@ -7,11 +7,11 @@ metrics:
 model-index:
 - name: led-base-16384-text_summarization_data
   results: []
+language:
+- en
+pipeline_tag: summarization
 ---
 
-<!-- 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. -->
-
 # led-base-16384-text_summarization_data
 
 This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
@@ -25,15 +25,17 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This is a text summarization model.
+
+For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Text%20Summarization/Text-Summarized%20Data%20-%20Comparison/LED%20-%20Text%20Summarization%20-%204%20Epochs.ipynb
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended to demonstrate my ability to solve a complex problem using technology.
 
 ## Training and evaluation data
 
-More information needed
+Dataset Source: https://www.kaggle.com/datasets/cuitengfeui/textsummarization-data
 
 ## Training procedure
 
@@ -63,4 +65,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.1
 - Pytorch 1.12.1
 - Datasets 2.9.0
-- Tokenizers 0.12.1
+- Tokenizers 0.12.1