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EntityCS-39-PEP_MS-xlmr-base

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fenchri commited on Sep 11, 2023

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 # Model Card for EntityCS-39-PEP_MS-xlmr-base
-This model has been trained on the EntityCS corpus, a multilingual corpus from Wikipedia with replaces entities in different languages.
 The corpus can be found in [https://huggingface.co/huawei-noah/entity_cs](https://huggingface.co/huawei-noah/entity_cs), check the link for more details.
 Firstly, we employ the conventional 80-10-10 MLM objective, where 15% of sentence subwords are considered as masking candidates. From those, we replace subwords

 # Model Card for EntityCS-39-PEP_MS-xlmr-base
+This model has been trained on the EntityCS corpus, an English corpus from Wikipedia with replaced entities in different languages.
 The corpus can be found in [https://huggingface.co/huawei-noah/entity_cs](https://huggingface.co/huawei-noah/entity_cs), check the link for more details.
 Firstly, we employ the conventional 80-10-10 MLM objective, where 15% of sentence subwords are considered as masking candidates. From those, we replace subwords