Update README.md

README.md

@@ -1,3 +1,21 @@
----
-license: apache-2.0
----
+---
+tags:
+- summarization
+- bart
+
+language:
+- ar
+widget:
+- text: بيروت هي عاصمة <mask>.
+
+license: apache-2.0
+
+pipeline_tag: "fill-mask"
+---
+
+AraBART is the first Arabic model in which the encoder and the decoder are pretrained end-to-end, based on BART. AraBART follows the architecture of BART-Base
+which has 6 encoder and 6 decoder layers and 768 hidden dimensions. In total AraBART has 139M parameters.
+
+AraBART achieves the best performance on multiple abstractive summarization datasets, outperforming strong baselines including a pretrained Arabic BERT-based models and multilingual mBART and mT5 models.
+
+