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update model card README.md

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@@ -18,10 +18,10 @@ 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: 2.7922
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- - Rouge1: 19.1653
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- - Rouge2: 7.0586
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- - Rougel: 17.6487
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- - Rougelsum: 17.9202
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  ## Model description
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@@ -52,14 +52,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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- | 11.9457 | 1.0 | 151 | 4.4346 | 6.0042 | 1.1556 | 5.9068 | 5.8435 |
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- | 5.4958 | 2.0 | 302 | 3.4869 | 7.2729 | 1.8895 | 7.307 | 7.1446 |
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- | 4.4559 | 3.0 | 453 | 3.1252 | 8.665 | 1.6278 | 8.4274 | 8.3353 |
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- | 4.0657 | 4.0 | 604 | 2.9205 | 10.9136 | 3.4009 | 10.3961 | 10.4091 |
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- | 3.828 | 5.0 | 755 | 2.8419 | 18.5917 | 6.8523 | 16.9087 | 17.2145 |
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- | 3.6794 | 6.0 | 906 | 2.8178 | 18.9371 | 7.0542 | 17.1941 | 17.4368 |
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- | 3.6205 | 7.0 | 1057 | 2.7984 | 19.0788 | 7.0287 | 17.4496 | 17.8402 |
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- | 3.5711 | 8.0 | 1208 | 2.7922 | 19.1653 | 7.0586 | 17.6487 | 17.9202 |
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  ### Framework versions
 
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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: 2.7922
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+ - Rouge1: 18.97
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+ - Rouge2: 7.0348
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+ - Rougel: 17.6971
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+ - Rougelsum: 17.882
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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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+ | 11.9457 | 1.0 | 151 | 4.4346 | 5.986 | 1.1429 | 5.9458 | 5.7994 |
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+ | 5.4958 | 2.0 | 302 | 3.4869 | 7.1658 | 1.8822 | 7.2823 | 7.1334 |
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+ | 4.4559 | 3.0 | 453 | 3.1252 | 8.5582 | 1.605 | 8.3697 | 8.302 |
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+ | 4.0657 | 4.0 | 604 | 2.9205 | 10.6565 | 3.4667 | 10.4793 | 10.3928 |
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+ | 3.828 | 5.0 | 755 | 2.8419 | 18.3545 | 6.8241 | 17.013 | 17.3331 |
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+ | 3.6794 | 6.0 | 906 | 2.8178 | 18.6777 | 7.0318 | 17.2025 | 17.3807 |
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+ | 3.6205 | 7.0 | 1057 | 2.7984 | 18.8984 | 7.0004 | 17.4826 | 17.7813 |
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+ | 3.5711 | 8.0 | 1208 | 2.7922 | 18.97 | 7.0348 | 17.6971 | 17.882 |
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  ### Framework versions