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update model card README.md

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@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1308
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- - Rouge1: 71.046
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- - Rouge2: 59.5936
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- - Rougel: 66.5089
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- - Rougelsum: 69.5863
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- - Gen Len: 120.08
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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 | 0.4590 | 49.5947 | 32.0274 | 39.973 | 47.0858 | 124.54 |
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- | No log | 2.0 | 198 | 0.2493 | 53.1348 | 36.2418 | 43.9192 | 50.68 | 120.1 |
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- | No log | 3.0 | 297 | 0.1645 | 63.4779 | 49.8803 | 57.8773 | 62.0455 | 116.12 |
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- | No log | 4.0 | 396 | 0.1344 | 68.4348 | 55.6375 | 63.3955 | 66.2623 | 124.84 |
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- | No log | 5.0 | 495 | 0.1308 | 71.046 | 59.5936 | 66.5089 | 69.5863 | 120.08 |
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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