update model card README.md

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 34.4713
+      value: 34.4237
 ---
 
 <!-- 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: 2.0524
-- Rouge1: 34.4713
-- Rouge2: 14.6253
-- Rougel: 32.5971
-- Rougelsum: 32.5854
+- Loss: 2.0458
+- Rouge1: 34.4237
+- Rouge2: 14.5442
+- Rougel: 32.5483
+- Rougelsum: 32.5785
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 1.9316        | 1.0   | 2863  | 2.0832          | 34.5611 | 14.5831 | 32.7994 | 32.7887   |
-| 1.9898        | 2.0   | 5726  | 2.0742          | 34.4883 | 14.6727 | 32.6392 | 32.6204   |
-| 1.9995        | 3.0   | 8589  | 2.0658          | 34.6327 | 14.6086 | 32.7722 | 32.7524   |
-| 2.0108        | 4.0   | 11452 | 2.0602          | 34.6013 | 14.6843 | 32.7286 | 32.7192   |
-| 2.0165        | 5.0   | 14315 | 2.0581          | 34.5423 | 14.6649 | 32.705  | 32.6891   |
-| 2.0132        | 6.0   | 17178 | 2.0545          | 34.6902 | 14.7817 | 32.8538 | 32.8374   |
-| 2.0128        | 7.0   | 20041 | 2.0537          | 34.5965 | 14.691  | 32.7323 | 32.7165   |
-| 2.0139        | 8.0   | 22904 | 2.0524          | 34.529  | 14.6524 | 32.6635 | 32.6443   |
+| 1.8605        | 1.0   | 2863  | 2.0813          | 34.4597 | 14.5186 | 32.6909 | 32.7097   |
+| 1.9209        | 2.0   | 5726  | 2.0721          | 34.3859 | 14.5733 | 32.5188 | 32.5524   |
+| 1.9367        | 3.0   | 8589  | 2.0623          | 34.4192 | 14.455  | 32.581  | 32.5962   |
+| 1.9539        | 4.0   | 11452 | 2.0565          | 34.5148 | 14.6131 | 32.6786 | 32.7174   |
+| 1.9655        | 5.0   | 14315 | 2.0538          | 34.4393 | 14.6439 | 32.6344 | 32.6587   |
+| 1.9683        | 6.0   | 17178 | 2.0493          | 34.7199 | 14.7763 | 32.8625 | 32.8782   |
+| 1.9735        | 7.0   | 20041 | 2.0476          | 34.5366 | 14.6362 | 32.6939 | 32.7177   |
+| 1.98          | 8.0   | 22904 | 2.0458          | 34.5    | 14.5695 | 32.6219 | 32.6478   |
 
 
 ### Framework versions