update model card README.md
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README.md
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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.
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- Rouge2: 7.
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- Rougel: 17.
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- Rougelsum:
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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 |
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| 5.4958 | 2.0 | 302 | 3.4869 | 7.
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| 4.4559 | 3.0 | 453 | 3.1252 | 8.
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| 4.0657 | 4.0 | 604 | 2.9205 | 10.
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| 3.828 | 5.0 | 755 | 2.8419 | 18.
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| 3.6794 | 6.0 | 906 | 2.8178 | 18.
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| 3.6205 | 7.0 | 1057 | 2.7984 |
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| 3.5711 | 8.0 | 1208 | 2.7922 | 19.
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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: 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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| 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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