update model card README.md

README.md

@@ -22,18 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 26.77
-    - name: Rouge2
-      type: rouge
-      value: 10.28
-    - name: Rougel
-      type: rouge
-      value: 21.26
-    - name: Rougelsum
-      type: rouge
-      value: 22.02
-language:
-- en
+      value: 26.31
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,11 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the multi_news dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4116
-- Rouge1: 26.77
-- Rouge2: 10.28
-- Rougel: 21.26
-- Rougelsum: 22.02
+- Loss: 2.4147
+- Rouge1: 26.31
+- Rouge2: 9.6
+- Rougel: 20.87
+- Rougelsum: 21.54
 
 ## Model description
 
@@ -78,12 +67,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 2.7976        | 1.0   | 1250 | 2.4116          | 26.77  | 10.28  | 21.26  | 22.02     |
+| 2.4041        | 1.0   | 1250 | 2.4147          | 26.31  | 9.6    | 20.87  | 21.54     |
 
 
 ### Framework versions
 
-- Transformers 4.28.0
-- Pytorch 2.0.0+cu117
+- Transformers 4.30.0
+- Pytorch 2.0.1+cu118
 - Datasets 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3