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update model card README.md

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@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 15.2304
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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
@@ -33,10 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wiki_lingua dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.4218
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- - Rouge1: 15.2304
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- - Rouge2: 4.4865
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- - Rougel: 13.4933
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- - Rougelsum: 14.9089
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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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- | 3.5656 | 1.0 | 4939 | 2.5421 | 14.4722 | 4.0621 | 12.7056 | 14.1707 |
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- | 2.9444 | 2.0 | 9878 | 2.4492 | 14.8344 | 4.3422 | 13.1513 | 14.5595 |
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- | 2.8378 | 3.0 | 14817 | 2.4218 | 15.2304 | 4.4865 | 13.4933 | 14.9089 |
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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: 15.2299
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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 [google/mt5-small](https://huggingface.co/google/mt5-small) on the wiki_lingua dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.4218
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+ - Rouge1: 15.2299
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+ - Rouge2: 4.4912
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+ - Rougel: 13.4991
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+ - Rougelsum: 14.9193
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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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+ | 3.5656 | 1.0 | 4939 | 2.5421 | 14.4738 | 4.064 | 12.7061 | 14.1813 |
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+ | 2.9444 | 2.0 | 9878 | 2.4492 | 14.8349 | 4.3457 | 13.16 | 14.5623 |
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+ | 2.8378 | 3.0 | 14817 | 2.4218 | 15.2299 | 4.4912 | 13.4991 | 14.9193 |
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  ### Framework versions