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Fix many typos (#8708)

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Santiago Castro
2020-11-22 00:58:10 -03:00
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parent 9c0afdaf7b
commit e1f3156b21
35 changed files with 51 additions and 51 deletions
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docs/source/multilingual.rst
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@@ -109,7 +109,7 @@ XLM-RoBERTa
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
XLM-RoBERTa was trained on 2.5TB of newly created clean CommonCrawl data in 100 languages. It provides strong gains
over previously released multi-lingual models like mBERT or XLM on downstream taks like classification, sequence
over previously released multi-lingual models like mBERT or XLM on downstream tasks like classification, sequence
labeling and question answering.
Two XLM-RoBERTa checkpoints can be used for multi-lingual tasks: