Training 2 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: 3.
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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: 3.2197
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- Rouge1: 23.7209
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- Rouge2: 12.4611
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- Rougel: 22.745
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- Rougelsum: 22.8085
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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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| 3.2981 | 1.0 | 589 | 3.2505 | 21.3203 | 11.2834 | 20.3564 | 20.3812 |
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| 3.2017 | 2.0 | 1178 | 3.2563 | 21.5285 | 10.7337 | 20.7505 | 20.5952 |
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| 3.1031 | 3.0 | 1767 | 3.2636 | 23.6856 | 12.5802 | 22.6568 | 22.5633 |
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| 3.0303 | 4.0 | 2356 | 3.2242 | 23.4492 | 12.3205 | 22.3518 | 22.3521 |
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| 2.9808 | 5.0 | 2945 | 3.2281 | 24.2603 | 12.6434 | 23.1527 | 23.2443 |
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| 2.9519 | 6.0 | 3534 | 3.2146 | 24.5639 | 13.5995 | 23.8336 | 23.8418 |
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| 2.9125 | 7.0 | 4123 | 3.2226 | 23.9892 | 12.9918 | 23.3101 | 23.3465 |
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| 2.9058 | 8.0 | 4712 | 3.2197 | 23.7209 | 12.4611 | 22.745 | 22.8085 |
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### Framework versions
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1200772613
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version https://git-lfs.github.com/spec/v1
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size 1200772613
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