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Update README.md

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@@ -14,6 +14,7 @@ language:
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  - el
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  - es
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  - fr
 
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  - ru
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  - sw
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@@ -74,12 +75,12 @@ classifier(sequence_to_classify, candidate_labels, multi_label=True)
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  ```
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  ### Eval results
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- The model was evaluated using the XNLI test sets on 14 languages: English (en), Arabic (ar), Bulgarian (bg), German (de), Greek (el), Spanish (es), French (fr), Russian (ru), Swahili (sw), Thai (th), Turkish (tr), Urdu (ur), Vietnam (vi) and Chinese (zh). The metric used is accuracy.
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- |Datasets|en|ar|bg|de|el|es|fr|ru|sw|th|tr|ur|vi|zh|
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- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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- |[multilingual-e5-base-xnli](https://huggingface.co/mjwong/multilingual-e5-base-xnli)|0.849|0.771|0.800|0.796|0.795|0.812|0.801|0.783|0.731|0.767|0.771|0.710|0.789|0.786|
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- |[multilingual-e5-large-xnli](https://huggingface.co/mjwong/multilingual-e5-large-xnli)|0.867|0.798|0.829|0.821|0.820|0.838|0.828|0.810|0.752|0.787|0.794|0.726|0.804|0.810|
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  ### Training hyperparameters
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  - el
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  - es
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  - fr
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+ - hi
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  - ru
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  - sw
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  - th
 
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  ```
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  ### Eval results
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+ The model was evaluated using the XNLI test sets on 15 languages: English (en), Arabic (ar), Bulgarian (bg), German (de), Greek (el), Spanish (es), French (fr), Hindi (hi), Russian (ru), Swahili (sw), Thai (th), Turkish (tr), Urdu (ur), Vietnam (vi) and Chinese (zh). The metric used is accuracy.
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+ |Datasets|en|ar|bg|de|el|es|fr|hi|ru|sw|th|tr|ur|vi|zh|
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+ | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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+ |[multilingual-e5-base-xnli](https://huggingface.co/mjwong/multilingual-e5-base-xnli)|0.849|0.768|0.803|0.800|0.792|0.809|0.805|0.738|0.782|0.728|0.756|0.766|0.713|0.787|0.785|
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+ |[multilingual-e5-large-xnli](https://huggingface.co/mjwong/multilingual-e5-large-xnli)|0.867|0.791|0.832|0.825|0.823|0.837|0.824|0.778|0.806|0.749|0.787|0.793|0.738|0.813|0.808|
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  ### Training hyperparameters
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