模型名称

模型描述

我使用了huggingface的bert-base-multilingual-cased模型，并在SAIL 2017数据集上进行了微调。

使用方法和限制

# You can include sample code which will be formatted
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提供潜在问题的例子和潜在的解决方法。

训练数据

我在SAIL 2017数据集上进行了训练 link ，使用了 pretrained model 进行训练。

训练过程

无预处理。

评估结果

BibTeX条目和引文信息

@inproceedings{khanuja-etal-2020-gluecos,
    title = "{GLUEC}o{S}: An Evaluation Benchmark for Code-Switched {NLP}",
    author = "Khanuja, Simran  and
      Dandapat, Sandipan  and
      Srinivasan, Anirudh  and
      Sitaram, Sunayana  and
      Choudhury, Monojit",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.329",
    pages = "3575--3585"
}