Create README.md

README.md

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+---
+datasets:
+- DEplain/DEplain-APA
+language:
+- de
+metrics:
+- bleu
+- sari
+- bertscore
+library_name: transformers
+pipeline_tag: text2text-generation
+---
+
+# DEplain German Text Simplification
+
+This model belongs to the experiments done at the work of Stodden, Momen, Kallmeyer (2023). ["DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification."](https://arxiv.org/abs/2305.18939) In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Toronto, Canada. Association for Computational Linguistics. 
+Detailed documentation can be found on this GitHub repository [https://github.com/rstodden/DEPlain](https://github.com/rstodden/DEPlain)
+
+### Model Description
+
+The model is a finetuned checkpoint of the pre-trained mBART model `mbart-large-cc25`. With a trimmed vocabulary to the most frequent 30k words in the German language. 
+
+The model was finetuned towards the task of German text simplification of sentences.
+
+The finetuning dataset included manually aligned sentences from the dataset `DEplain-APA-sent` only.