Update README.md

README.md

@@ -64,6 +64,7 @@ This model is trained on the following datasets:
 |-------|--------|--------|--------|----------
 | [ml6team/mt5-small-german-finetune-mlsum](https://huggingface.co/ml6team/mt5-small-german-finetune-mlsum) | 18.3607 | 5.3604 | 14.5456 | 16.1946
 | [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
+| T-Systems-onsite/mt5-small-sum-de-en-v2 (this) | xxx | xxx | xxx | xxx
 
 ## Evaluation on CNN Daily English Test Set (no beams)
 
@@ -73,7 +74,7 @@ This model is trained on the following datasets:
 | [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) | 28.5374 | 9.8565 | 19.4829 | 24.7364
 | [mrm8488/t5-base-finetuned-summarize-news](https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news) | 37.576 | 14.7389 | 24.0254 | 34.4634
 | [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
-
+| T-Systems-onsite/mt5-small-sum-de-en-v2 (this) | xxx | xxx | xxx | xxx
 
 ## Evaluation on Extreme Summarization (XSum) English Test Set (no beams)
 
@@ -82,6 +83,7 @@ This model is trained on the following datasets:
 | [mrm8488/t5-base-finetuned-summarize-news](https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news) | 18.6204 | 3.535 | 12.3997 | 15.2111
 | [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) | 28.5374 | 9.8565 | 19.4829 | 24.7364
 | [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
+| T-Systems-onsite/mt5-small-sum-de-en-v2 (this) | xxx | xxx | xxx | xxx
 | [sshleifer/distilbart-xsum-12-6](https://huggingface.co/sshleifer/distilbart-xsum-12-6) | 44.2553 ♣ | 21.4289 ♣ | 36.2639 ♣ | 36.2696 ♣
 
 ♣: These values seem to be unusually high. It could be that the test set was used in the training data.