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bart-large-cnn-finetuned-scope-summarization

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bart
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@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1476
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- - Rouge1: 54.2211
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- - Rouge2: 40.3114
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- - Rougel: 43.3623
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- - Rougelsum: 43.4852
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  ## Model description
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@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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- | 0.6594 | 1.0 | 36 | 0.2550 | 42.7603 | 25.8385 | 30.1054 | 30.2185 |
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- | 0.26 | 2.0 | 72 | 0.2210 | 45.6198 | 28.3586 | 32.8142 | 32.9316 |
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- | 0.225 | 3.0 | 108 | 0.2101 | 49.9583 | 35.7905 | 36.2053 | 36.2483 |
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- | 0.2142 | 4.0 | 144 | 0.1959 | 49.3039 | 34.5635 | 37.9744 | 38.0919 |
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- | 0.2 | 5.0 | 180 | 0.1864 | 51.5603 | 36.3023 | 38.3249 | 38.5464 |
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- | 0.1974 | 6.0 | 216 | 0.1780 | 53.5739 | 37.9308 | 40.2562 | 40.3355 |
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- | 0.1843 | 7.0 | 252 | 0.1678 | 55.1556 | 39.5639 | 42.9197 | 43.0779 |
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- | 0.1788 | 8.0 | 288 | 0.1579 | 55.8788 | 41.1155 | 45.2609 | 45.4263 |
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- | 0.1596 | 9.0 | 324 | 0.1497 | 56.0775 | 41.672 | 44.8889 | 45.1741 |
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- | 0.1545 | 10.0 | 360 | 0.1476 | 54.2211 | 40.3114 | 43.3623 | 43.4852 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0451
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+ - Rouge1: 50.5384
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+ - Rouge2: 38.354
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+ - Rougel: 39.3824
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+ - Rougelsum: 39.3274
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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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+ | 0.4522 | 1.0 | 29 | 0.1016 | 39.3219 | 23.9312 | 30.059 | 30.0842 |
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+ | 0.115 | 2.0 | 58 | 0.0910 | 42.5308 | 28.0438 | 34.7355 | 34.6854 |
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+ | 0.1008 | 3.0 | 87 | 0.0773 | 46.8072 | 32.1794 | 38.8917 | 39.1092 |
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+ | 0.0887 | 4.0 | 116 | 0.0748 | 40.6291 | 27.6322 | 31.1978 | 31.2266 |
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+ | 0.0878 | 5.0 | 145 | 0.0678 | 45.3986 | 31.5703 | 35.6892 | 35.7214 |
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+ | 0.077 | 6.0 | 174 | 0.0598 | 47.8845 | 34.9979 | 39.1758 | 39.3253 |
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+ | 0.0714 | 7.0 | 203 | 0.0559 | 49.0723 | 35.9285 | 37.1426 | 37.1948 |
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+ | 0.061 | 8.0 | 232 | 0.0509 | 49.7851 | 37.3486 | 40.8669 | 40.9567 |
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+ | 0.0625 | 9.0 | 261 | 0.0465 | 50.7533 | 37.6276 | 39.9594 | 40.0946 |
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+ | 0.0488 | 10.0 | 290 | 0.0451 | 50.5384 | 38.354 | 39.3824 | 39.3274 |
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  ### Framework versions