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README.md
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@@ -25,10 +25,10 @@ The mDeBERTa V3 base model comes with 12 layers and a hidden size of 768. Its to
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We present the dev results on XNLI with zero-shot crosslingual transfer setting, i.e. training with english data only, test with other languages.
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| Model | en | fr| es | de | el | bg | ru |tr |ar |vi | th | zh | hi | sw | ur |
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| XLM-R-base |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|
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| mDeBERTa-base|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
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#### Fine-tuning with HF transformers
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We present the dev results on XNLI with zero-shot crosslingual transfer setting, i.e. training with english data only, test with other languages.
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| Model |avg | en | fr| es | de | el | bg | ru |tr |ar |vi | th | zh | hi | sw | ur |
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| XLM-R-base |75.6 |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|
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| 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|
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#### Fine-tuning with HF transformers
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