 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  |  |--------------| ----|----|----|---- |--   |--   |--   | --  |--   |--   |--   | --  | -- | --  | --  | --  | | XLM-R-base   |76.2 |85.8|79.7|80.7 |78.7 |77.5 |79.6 |78.1 |74.2 |73.8 |76.5 |74.6 |76.7| 72.4| 66.5| 68.3| | mDeBERTa-base|**79.8**+/-0.2|**88.2**|**82.6**|**84.4** |**82.7** |**82.3** |**82.4** |**80.8** |**79.5** |**78.5** |**78.1** |**76.4** |**79.5**| **75.9**| **73.9**| **72.4**|  