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README.md
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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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 Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| No log | 1.0 | 99 | 0.
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| No log | 2.0 | 198 | 0.
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| No log | 3.0 | 297 | 0.
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| No log | 4.0 | 396 | 0.
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| No log | 5.0 | 495 | 0.
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### Framework versions
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This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0858
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- Rouge1: 76.5974
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- Rouge2: 66.1659
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- Rougel: 71.9284
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- Rougelsum: 75.2459
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- Gen Len: 122.5
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| No log | 1.0 | 99 | 0.2852 | 61.0841 | 45.81 | 52.9835 | 59.0452 | 116.92 |
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| No log | 2.0 | 198 | 0.1547 | 71.534 | 59.9905 | 66.4697 | 70.5213 | 117.56 |
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| No log | 3.0 | 297 | 0.1100 | 71.6464 | 59.0112 | 67.3835 | 70.5206 | 117.24 |
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| No log | 4.0 | 396 | 0.0960 | 77.9213 | 67.6116 | 73.7888 | 76.8473 | 123.62 |
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| No log | 5.0 | 495 | 0.0858 | 76.5974 | 66.1659 | 71.9284 | 75.2459 | 122.5 |
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### Framework versions
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