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README.md
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown 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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- Gen Len:
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5792
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- Rouge1: 23.4569
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- Rouge2: 3.8165
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- Rougel: 17.8862
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- Rougelsum: 17.8911
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- Gen Len: 70.52
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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 | Gen Len |
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| 4.4082 | 1.0 | 959 | 4.1636 | 20.1898 | 2.4411 | 15.8204 | 15.8093 | 58.03 |
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| 3.5803 | 2.0 | 1918 | 3.7122 | 19.0258 | 2.1105 | 14.6927 | 14.6946 | 55.63 |
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| 3.2398 | 3.0 | 2877 | 3.3901 | 22.342 | 2.9157 | 17.4805 | 17.4664 | 59.7 |
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| 3.0207 | 4.0 | 3836 | 3.1438 | 21.7114 | 3.184 | 16.7918 | 16.7931 | 65.44 |
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| 2.8507 | 5.0 | 4795 | 2.9729 | 20.046 | 2.5204 | 16.3012 | 16.3135 | 55.45 |
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| 2.752 | 6.0 | 5754 | 2.8351 | 22.2957 | 3.4475 | 17.148 | 17.1805 | 74.22 |
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| 2.6309 | 7.0 | 6713 | 2.7366 | 20.3547 | 2.5414 | 15.6025 | 15.5605 | 62.23 |
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| 2.5549 | 8.0 | 7672 | 2.6554 | 23.3943 | 3.8971 | 18.0303 | 18.0104 | 76.83 |
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| 2.499 | 9.0 | 8631 | 2.6016 | 22.204 | 3.5576 | 17.2275 | 17.2721 | 81.08 |
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| 2.4656 | 10.0 | 9590 | 2.5792 | 23.4569 | 3.8165 | 17.8862 | 17.8911 | 70.52 |
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### Framework versions
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