update model card README.md

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 34.3638
+      value: 34.4566
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,11 +30,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [domenicrosati/t5-small-finetuned-contradiction](https://huggingface.co/domenicrosati/t5-small-finetuned-contradiction) on the snli dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1269
-- Rouge1: 34.3638
-- Rouge2: 14.7916
-- Rougel: 32.6308
-- Rougelsum: 32.6288
+- Loss: 2.0953
+- Rouge1: 34.4566
+- Rouge2: 14.7585
+- Rougel: 32.7187
+- Rougelsum: 32.7372
 
 ## Model description
 
@@ -66,10 +66,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 2.1984        | 1.0   | 2863  | 2.1556          | 34.4429 | 14.6791 | 32.5812 | 32.5896   |
-| 2.2085        | 2.0   | 5726  | 2.1390          | 34.3719 | 14.731  | 32.5979 | 32.5949   |
-| 2.188         | 3.0   | 8589  | 2.1302          | 34.4276 | 14.7191 | 32.62   | 32.6132   |
-| 2.1768        | 4.0   | 11452 | 2.1269          | 34.4408 | 14.8235 | 32.7067 | 32.7065   |
+| 2.0722        | 1.0   | 2863  | 2.1159          | 34.4508 | 14.7296 | 32.684  | 32.6938   |
+| 2.1261        | 2.0   | 5726  | 2.1038          | 34.4131 | 14.7231 | 32.6427 | 32.6554   |
+| 2.1192        | 3.0   | 8589  | 2.0975          | 34.491  | 14.6856 | 32.7155 | 32.7326   |
+| 2.1186        | 4.0   | 11452 | 2.0953          | 34.5066 | 14.7893 | 32.772  | 32.7931   |
 
 
 ### Framework versions