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update model card README.md

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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: mt5-small_summarization
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  results: []
@@ -15,6 +17,10 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 3.1774
 
 
 
 
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 17.7253 | 1.0 | 50 | 7.6921 |
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- | 9.8457 | 2.0 | 100 | 4.5604 |
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- | 6.2403 | 3.0 | 150 | 3.9071 |
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- | 5.2032 | 4.0 | 200 | 3.4869 |
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- | 4.8331 | 5.0 | 250 | 3.3472 |
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- | 4.526 | 6.0 | 300 | 3.2346 |
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- | 4.5378 | 7.0 | 350 | 3.1927 |
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- | 4.3278 | 8.0 | 400 | 3.1774 |
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  ### Framework versions
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - rouge
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  model-index:
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  - name: mt5-small_summarization
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  results: []
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 3.1774
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+ - Rouge1: 18.2118
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+ - Rouge2: 6.6244
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+ - Rougel: 15.4682
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+ - Rougelsum: 15.3942
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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+ | 17.7253 | 1.0 | 50 | 7.6921 | 6.677 | 1.1111 | 6.5586 | 6.6861 |
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+ | 9.8457 | 2.0 | 100 | 4.5604 | 12.8991 | 1.9103 | 11.2559 | 10.9036 |
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+ | 6.2403 | 3.0 | 150 | 3.9071 | 16.463 | 4.0695 | 14.3098 | 14.4065 |
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+ | 5.2032 | 4.0 | 200 | 3.4869 | 17.6601 | 4.0878 | 14.2931 | 14.2743 |
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+ | 4.8331 | 5.0 | 250 | 3.3472 | 18.5241 | 5.3312 | 15.8993 | 16.0559 |
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+ | 4.526 | 6.0 | 300 | 3.2346 | 19.0264 | 5.7839 | 15.8013 | 16.1208 |
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+ | 4.5378 | 7.0 | 350 | 3.1927 | 18.9843 | 6.992 | 16.3787 | 16.3574 |
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+ | 4.3278 | 8.0 | 400 | 3.1774 | 18.2118 | 6.6244 | 15.4682 | 15.3942 |
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  ### Framework versions