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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: 1.
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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: 1.4543
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- Rouge1: 14.9678
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- Rouge2: 2.1649
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- Rougel: 14.4205
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- Rougelsum: 14.4408
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- Gen Len: 64.0
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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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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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| 2.7082 | 1.0 | 959 | 2.5321 | 18.3219 | 2.1594 | 17.0253 | 17.0044 | 82.0 |
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| 2.2926 | 2.0 | 1918 | 2.3019 | 17.7317 | 2.1985 | 16.3236 | 16.3132 | 71.0 |
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| 2.1349 | 3.0 | 2877 | 2.1208 | 21.6818 | 2.6244 | 19.1082 | 19.0883 | 58.0 |
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| 1.9939 | 4.0 | 3836 | 1.9543 | 19.6238 | 2.7829 | 17.8229 | 17.7944 | 72.0 |
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| 1.8933 | 5.0 | 4795 | 1.8055 | 17.2105 | 2.0041 | 16.7053 | 16.766 | 46.0 |
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| 1.8068 | 6.0 | 5754 | 1.6966 | 14.8562 | 2.0662 | 14.4525 | 14.4841 | 64.0 |
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| 1.7375 | 7.0 | 6713 | 1.5950 | 15.0644 | 2.1461 | 14.7203 | 14.7665 | 65.0 |
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| 1.6704 | 8.0 | 7672 | 1.5214 | 14.9678 | 2.1649 | 14.4205 | 14.4408 | 64.0 |
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| 1.6254 | 9.0 | 8631 | 1.4738 | 14.9678 | 2.1649 | 14.4205 | 14.4408 | 64.0 |
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| 1.5941 | 10.0 | 9590 | 1.4543 | 14.9678 | 2.1649 | 14.4205 | 14.4408 | 64.0 |
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### Framework versions
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