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update model card README.md

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