Training complete
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Rouge1:
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- Rouge2:
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- Rougel:
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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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### Framework versions
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6760
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- Rouge1: 12.0734
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- Rouge2: 4.3967
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- Rougel: 10.3798
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- Rougelsum: 11.183
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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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| 4.0379 | 1.0 | 1875 | 2.8647 | 11.7472 | 3.9041 | 10.0104 | 10.9935 |
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| 3.1006 | 2.0 | 3750 | 2.7921 | 11.9174 | 4.1568 | 10.1817 | 11.1292 |
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| 2.9625 | 3.0 | 5625 | 2.7340 | 11.8991 | 4.2439 | 10.2099 | 11.0833 |
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| 2.8808 | 4.0 | 7500 | 2.7087 | 12.2156 | 4.3539 | 10.4789 | 11.3807 |
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| 2.8298 | 5.0 | 9375 | 2.6980 | 12.0815 | 4.391 | 10.3708 | 11.2082 |
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| 2.7949 | 6.0 | 11250 | 2.6671 | 12.1477 | 4.4187 | 10.4061 | 11.2805 |
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| 2.7709 | 7.0 | 13125 | 2.6780 | 12.216 | 4.4787 | 10.4787 | 11.3018 |
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| 2.7609 | 8.0 | 15000 | 2.6760 | 12.0734 | 4.3967 | 10.3798 | 11.183 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1200729512
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version https://git-lfs.github.com/spec/v1
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size 1200729512
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