update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 39.3379
+      value: 38.5318
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,12 +29,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization](https://huggingface.co/mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization) on the multi_news dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.0684
-- Rouge1: 39.3379
-- Rouge2: 13.4185
-- Rougel: 22.0012
-- Rougelsum: 34.3839
-- Gen Len: 128.885
+- Loss: 4.3760
+- Rouge1: 38.5318
+- Rouge2: 12.7285
+- Rougel: 21.4358
+- Rougelsum: 33.4565
+- Gen Len: 128.985
 
 ## Model description
 
@@ -68,10 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 4.1496        | 0.89  | 400  | 4.0271          | 39.0902 | 13.4318 | 21.9451 | 34.265    | 128.91  |
-| 4.1196        | 1.78  | 800  | 4.0524          | 39.6634 | 13.796  | 22.355  | 34.5604   | 129.0   |
-| 3.9745        | 2.67  | 1200 | 4.0557          | 39.4428 | 13.5326 | 21.9715 | 34.3999   | 129.0   |
-| 3.8362        | 3.56  | 1600 | 4.0684          | 39.3379 | 13.4185 | 22.0012 | 34.3839   | 128.885 |
+| 4.6946        | 0.89  | 400  | 4.5393          | 37.164  | 11.5191 | 20.2519 | 32.1568   | 126.415 |
+| 4.5128        | 1.78  | 800  | 4.4185          | 38.2345 | 12.2053 | 20.954  | 33.0667   | 128.975 |
+| 4.2926        | 2.67  | 1200 | 4.3866          | 38.4475 | 12.6488 | 21.3046 | 33.2768   | 129.0   |
+| 4.231         | 3.56  | 1600 | 4.3808          | 38.7008 | 12.6323 | 21.307  | 33.3693   | 128.955 |
+| 4.125         | 4.44  | 2000 | 4.3760          | 38.5318 | 12.7285 | 21.4358 | 33.4565   | 128.985 |
 
 
 ### Framework versions