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--- |
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tags: |
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- summarization |
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- bart |
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language: |
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- ar |
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widget: |
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- text: بيروت هي عاصمة <mask>. |
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license: apache-2.0 |
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pipeline_tag: "fill-mask" |
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--- |
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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 |
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which has 6 encoder and 6 decoder layers and 768 hidden dimensions. In total AraBART has 139M parameters. |
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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. |
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