update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 15.2304
+      value: 15.2299
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,10 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wiki_lingua dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.4218
-- Rouge1: 15.2304
-- Rouge2: 4.4865
-- Rougel: 13.4933
-- Rougelsum: 14.9089
+- Rouge1: 15.2299
+- Rouge2: 4.4912
+- Rougel: 13.4991
+- Rougelsum: 14.9193
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
-| 3.5656        | 1.0   | 4939  | 2.5421          | 14.4722 | 4.0621 | 12.7056 | 14.1707   |
-| 2.9444        | 2.0   | 9878  | 2.4492          | 14.8344 | 4.3422 | 13.1513 | 14.5595   |
-| 2.8378        | 3.0   | 14817 | 2.4218          | 15.2304 | 4.4865 | 13.4933 | 14.9089   |
+| 3.5656        | 1.0   | 4939  | 2.5421          | 14.4738 | 4.064  | 12.7061 | 14.1813   |
+| 2.9444        | 2.0   | 9878  | 2.4492          | 14.8349 | 4.3457 | 13.16   | 14.5623   |
+| 2.8378        | 3.0   | 14817 | 2.4218          | 15.2299 | 4.4912 | 13.4991 | 14.9193   |
 
 
 ### Framework versions