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mdeberta-v3-base

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DeBERTa commited on Nov 16, 2021

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@@ -23,7 +23,7 @@ The mDeBERTa V3 base model comes with 12 layers and a hidden size of 768. Its to
 #### Fine-tuning on NLU tasks
-We present the dev results on XNLI with zero-shot crosslingual transfer setting, i.e. training with english data only, test on other languages.
 | Model        |avg | en |  fr| es  | de  | el  | bg  | ru  |tr   |ar   |vi   | th  | zh | hi  | sw  | ur  |
 |--------------| ----|----|----|---- |--   |--   |--   | --  |--   |--   |--   | --  | -- | --  | --  | --  |

 #### Fine-tuning on NLU tasks
+We present the dev results on XNLI with zero-shot cross-lingual transfer setting, i.e. training with English data only, test on other languages.
 | Model        |avg | en |  fr| es  | de  | el  | bg  | ru  |tr   |ar   |vi   | th  | zh | hi  | sw  | ur  |
 |--------------| ----|----|----|---- |--   |--   |--   | --  |--   |--   |--   | --  | -- | --  | --  | --  |