Update README.md

README.md

@@ -9,6 +9,7 @@ datasets:
 - samsum
 metrics:
 - rouge
+library_name: transformers
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,25 +21,20 @@ This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingf
 It achieves the following results on the evaluation set:
 - Loss: 1.4963
 
-Fine-Tuned over 1 epoch. The improvements over facebook/bart-large-cnn over the rouge benchmark is as follows : 
-Rouge1 : 30.6 % <br>
-Rouge2 : 103 % <br>
-RougeL : 33.18 % <br>
-RougeLSum : 33.18 % <br>
-
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
+Original bart (Bidirectional Auto Regressive Transformers) paper : https://arxiv.org/abs/1910.13461
 
 ## Training and evaluation data
 
-More information needed
+Fine-Tuned over 1 epoch. The improvements over facebook/bart-large-cnn over the rouge benchmark is as follows : 
+Rouge1 : 30.6 % <br>
+Rouge2 : 103 % <br>
+RougeL : 33.18 % <br>
+RougeLSum : 33.18 % <br>
 
 ## Training procedure
+Please refer to https://github.com/dhivyeshrk/FineTuning-Facebook-bart-large-cnn
 
 ### Training hyperparameters