Philip May
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Update README.md
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README.md
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@@ -63,7 +63,7 @@ This model is trained on the following datasets:
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| Model | rouge1 | rouge2 | rougeL | rougeLsum
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|-------|--------|--------|--------|----------
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| [ml6team/mt5-small-german-finetune-mlsum](https://huggingface.co/ml6team/mt5-small-german-finetune-mlsum) | 18.3607 | 5.3604 | 14.5456 | 16.1946
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| deutsche-telekom/mT5-small-sum-de-en-01 | 21.7336 | 7.2614 | 17.1323 | 19.3977
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## Evaluation on CNN Daily English Test Set (no beams)
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@@ -72,7 +72,7 @@ This model is trained on the following datasets:
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| [sshleifer/distilbart-xsum-12-6](https://huggingface.co/sshleifer/distilbart-xsum-12-6) | 26.7664 | 8.8243 | 18.3703 | 23.2614
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| [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) | 28.5374 | 9.8565 | 19.4829 | 24.7364
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| [mrm8488/t5-base-finetuned-summarize-news](https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news) | 37.576 | 14.7389 | 24.0254 | 34.4634
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| deutsche-telekom/mT5-small-sum-de-en-01 | 37.6339 | 16.5317 | 27.1418 | 34.9951
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## Evaluation on Extreme Summarization (XSum) English Test Set (no beams)
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@@ -81,7 +81,7 @@ This model is trained on the following datasets:
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|-------|--------|--------|--------|----------
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| [mrm8488/t5-base-finetuned-summarize-news](https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news) | 18.6204 | 3.535 | 12.3997 | 15.2111
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| [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) | 28.5374 | 9.8565 | 19.4829 | 24.7364
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| deutsche-telekom/mT5-small-sum-de-en-01 | 32.3416 | 10.6191 | 25.3799 | 25.3908
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| [sshleifer/distilbart-xsum-12-6](https://huggingface.co/sshleifer/distilbart-xsum-12-6) | 44.2553 ♣ | 21.4289 ♣ | 36.2639 ♣ | 36.2696 ♣
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♣: These values seem to be unusually high. It could be that the test set was used in the training data.
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| 63 |
| Model | rouge1 | rouge2 | rougeL | rougeLsum
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| 64 |
|-------|--------|--------|--------|----------
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| 65 |
| [ml6team/mt5-small-german-finetune-mlsum](https://huggingface.co/ml6team/mt5-small-german-finetune-mlsum) | 18.3607 | 5.3604 | 14.5456 | 16.1946
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| [deutsche-telekom/mT5-small-sum-de-en-01](https://huggingface.co/deutsche-telekom/mt5-small-sum-de-en-v1) | 21.7336 | 7.2614 | 17.1323 | 19.3977
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## Evaluation on CNN Daily English Test Set (no beams)
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| [sshleifer/distilbart-xsum-12-6](https://huggingface.co/sshleifer/distilbart-xsum-12-6) | 26.7664 | 8.8243 | 18.3703 | 23.2614
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| 73 |
| [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) | 28.5374 | 9.8565 | 19.4829 | 24.7364
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| 74 |
| [mrm8488/t5-base-finetuned-summarize-news](https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news) | 37.576 | 14.7389 | 24.0254 | 34.4634
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| [deutsche-telekom/mT5-small-sum-de-en-01](https://huggingface.co/deutsche-telekom/mt5-small-sum-de-en-v1) | 37.6339 | 16.5317 | 27.1418 | 34.9951
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## Evaluation on Extreme Summarization (XSum) English Test Set (no beams)
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|-------|--------|--------|--------|----------
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| [mrm8488/t5-base-finetuned-summarize-news](https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news) | 18.6204 | 3.535 | 12.3997 | 15.2111
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| 83 |
| [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) | 28.5374 | 9.8565 | 19.4829 | 24.7364
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| 84 |
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| [deutsche-telekom/mT5-small-sum-de-en-01](https://huggingface.co/deutsche-telekom/mt5-small-sum-de-en-v1) | 32.3416 | 10.6191 | 25.3799 | 25.3908
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| [sshleifer/distilbart-xsum-12-6](https://huggingface.co/sshleifer/distilbart-xsum-12-6) | 44.2553 ♣ | 21.4289 ♣ | 36.2639 ♣ | 36.2696 ♣
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| 86 |
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♣: These values seem to be unusually high. It could be that the test set was used in the training data.
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