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bart-large-cnn-finetuned-scope-summarization

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bart
text2text-generation
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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: 0.0451
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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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@@ -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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- | 0.4522 | 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
 
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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: 0.1165
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+ - Rouge1: 55.7822
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+ - Rouge2: 41.9699
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+ - Rougel: 47.2427
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+ - Rougelsum: 47.1372
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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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+ | 0.613 | 1.0 | 35 | 0.2146 | 42.8394 | 24.2808 | 31.8024 | 31.7805 |
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+ | 0.1987 | 2.0 | 70 | 0.1989 | 46.2492 | 30.694 | 36.6481 | 36.5135 |
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+ | 0.1939 | 3.0 | 105 | 0.1792 | 47.7166 | 31.8667 | 38.5667 | 38.526 |
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+ | 0.1663 | 4.0 | 140 | 0.1642 | 49.6835 | 34.7278 | 39.5294 | 39.4623 |
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+ | 0.1711 | 5.0 | 175 | 0.1555 | 51.6538 | 35.9915 | 40.1589 | 40.1665 |
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+ | 0.1577 | 6.0 | 210 | 0.1443 | 50.4306 | 35.9713 | 40.4836 | 40.4492 |
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+ | 0.1511 | 7.0 | 245 | 0.1367 | 55.8887 | 43.2295 | 49.0124 | 48.9803 |
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+ | 0.1425 | 8.0 | 280 | 0.1306 | 56.2433 | 41.4182 | 45.9078 | 45.9027 |
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+ | 0.1255 | 9.0 | 315 | 0.1191 | 57.3464 | 43.7543 | 47.335 | 47.3058 |
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+ | 0.1299 | 10.0 | 350 | 0.1165 | 55.7822 | 41.9699 | 47.2427 | 47.1372 |
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  ### Framework versions