update model card README.md

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 34.3503
+      value: 34.4713
 ---
 
 <!-- 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: 2.0662
-- Rouge1: 34.3503
-- Rouge2: 14.671
-- Rougel: 32.5398
-- Rougelsum: 32.5331
+- Loss: 2.0524
+- Rouge1: 34.4713
+- Rouge2: 14.6253
+- Rougel: 32.5971
+- Rougelsum: 32.5854
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 2.0071        | 1.0   | 2863  | 2.1018          | 34.4519 | 14.6277 | 32.6441 | 32.6415   |
-| 2.0704        | 2.0   | 5726  | 2.0897          | 34.4688 | 14.7508 | 32.6253 | 32.6227   |
-| 2.0738        | 3.0   | 8589  | 2.0808          | 34.4291 | 14.5548 | 32.6263 | 32.6384   |
-| 2.0788        | 4.0   | 11452 | 2.0744          | 34.6759 | 14.842  | 32.8169 | 32.823    |
-| 2.0781        | 5.0   | 14315 | 2.0714          | 34.4961 | 14.7307 | 32.6362 | 32.6378   |
-| 2.0687        | 6.0   | 17178 | 2.0674          | 34.6406 | 14.8359 | 32.8403 | 32.8423   |
-| 2.0627        | 7.0   | 20041 | 2.0671          | 34.526  | 14.6943 | 32.6919 | 32.694    |
-| 2.0585        | 8.0   | 22904 | 2.0662          | 34.4196 | 14.7107 | 32.607  | 32.6035   |
+| 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   |
 
 
 ### Framework versions