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bart-large-cnn-finetuned-roundup-4-8

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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 [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: 0.7790
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- - Rouge1: 54.3036
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- - Rouge2: 37.1443
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- - Rougel: 40.4762
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- - Rougelsum: 52.1796
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- - Gen Len: 142.0
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  ## Model description
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@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
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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 | 398 | 0.9580 | 52.5184 | 33.0208 | 35.0634 | 49.9083 | 142.0 |
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- | 1.119 | 2.0 | 796 | 0.8356 | 53.0801 | 34.5549 | 36.9807 | 50.3394 | 141.2963 |
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- | 0.6814 | 3.0 | 1194 | 0.7968 | 53.9433 | 34.8086 | 36.7654 | 51.3384 | 142.0 |
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- | 0.4623 | 4.0 | 1592 | 0.7474 | 53.947 | 36.2662 | 39.332 | 51.7559 | 142.0 |
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- | 0.4623 | 5.0 | 1990 | 0.7563 | 54.5816 | 37.0675 | 40.3592 | 52.2391 | 142.0 |
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- | 0.3228 | 6.0 | 2388 | 0.7383 | 54.787 | 37.3647 | 40.521 | 52.3113 | 142.0 |
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- | 0.2183 | 7.0 | 2786 | 0.7606 | 54.1822 | 37.6748 | 40.7956 | 52.1102 | 141.7778 |
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- | 0.1759 | 8.0 | 3184 | 0.7790 | 54.3036 | 37.1443 | 40.4762 | 52.1796 | 142.0 |
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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: 0.7882
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+ - Rouge1: 54.2292
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+ - Rouge2: 37.3874
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+ - Rougel: 40.3261
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+ - Rougelsum: 52.2155
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+ - Gen Len: 141.8889
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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 | 398 | 0.9442 | 53.1634 | 33.7744 | 35.5688 | 50.7523 | 142.0 |
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+ | 1.1285 | 2.0 | 796 | 0.8305 | 54.0713 | 35.7079 | 37.5147 | 51.6285 | 142.0 |
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+ | 0.6796 | 3.0 | 1194 | 0.7735 | 52.6656 | 34.0198 | 36.8075 | 50.1502 | 142.0 |
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+ | 0.4572 | 4.0 | 1592 | 0.7759 | 53.6269 | 35.4308 | 38.3735 | 51.1369 | 141.7222 |
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+ | 0.4572 | 5.0 | 1990 | 0.7527 | 54.4206 | 36.0907 | 38.0818 | 51.7885 | 142.0 |
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+ | 0.3171 | 6.0 | 2388 | 0.7755 | 54.9642 | 38.0459 | 41.6383 | 52.8847 | 142.0 |
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+ | 0.2269 | 7.0 | 2786 | 0.7801 | 54.1637 | 35.9853 | 39.5262 | 51.6562 | 142.0 |
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+ | 0.1686 | 8.0 | 3184 | 0.7882 | 54.2292 | 37.3874 | 40.3261 | 52.2155 | 141.8889 |
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  ### Framework versions