Update README.md

README.md

@@ -179,4 +179,31 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 tokenizer = AutoTokenizer.from_pretrained("Artifact-AI/led_large_16384_billsum_summarization")
 
 model = AutoModelForSeq2SeqLM.from_pretrained("Artifact-AI/led_large_16384_billsum_summarization")
-```
+```
+
+### Results
+
+| Model | Rouge-1 | Rouge-2 | Rouge-L | Rouge-Lsum |
+| --- | --- | --- | --- | --- |
+| LED Large | 47.843 | 26.342 | 34.230 | 41.689 |
+| LED Base | 47.672 | 26.737 | 34.568 | 41.529 |
+
+
+[![LED Large](figure/results.png)
+
+
+The model is trained on the BillSum summarization dataset found [here](https://huggingface.co/datasets/billsum)
+
+### Test The Model
+
+Please find a notebook to test the model below:
+
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1TX4IVyvwduDqsok6XuS6i9VIOs9pTXra?usp=sharing)
+
+## Citing & Authors
+
+@misc{led_large_16384_billsum_summarization,
+    title={led_large_16384_billsum_summarization},
+    author={Matthew Kenney},
+    year={2023}
+}