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Update README.md

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@@ -170,10 +170,10 @@ Sentence SwissBERT achieves comparable or better results as the best-performing
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  | Semantic Similarity FR | 84.97 % | -- | **93.99 %** | -- | 93.19 % | -- |
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  | Semantic Similarity IT | 84.17 % | -- | **92.18 %** | -- | 91.58 % | -- |
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  | Semantic Similarity RM | 83.17 % | -- | **91.58 %** | -- | 73.35 % | -- |
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- | Text Classification DE | -- | | -- |**78.49 %**| -- | 77.23 % |
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- | Text Classification FR | -- | | -- |**77.18 %**| -- | 76.83 % |
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- | Text Classification IT | -- | | -- | 76.65 % | -- |**76.90 %**|
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- | Text Classification RM | -- | | -- |**77.20 %**| -- | 65.35 % |
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  #### Baseline
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  | Semantic Similarity FR | 84.97 % | -- | **93.99 %** | -- | 93.19 % | -- |
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  | Semantic Similarity IT | 84.17 % | -- | **92.18 %** | -- | 91.58 % | -- |
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  | Semantic Similarity RM | 83.17 % | -- | **91.58 %** | -- | 73.35 % | -- |
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+ | Text Classification DE | -- | 77.93 % | -- |**78.49 %**| -- | 77.23 % |
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+ | Text Classification FR | -- | 69.62 % | -- |**77.18 %**| -- | 76.83 % |
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+ | Text Classification IT | -- | 67.09 % | -- | 76.65 % | -- |**76.90 %**|
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+ | Text Classification RM | -- | 43.79 % | -- |**77.20 %**| -- | 65.35 % |
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  #### Baseline
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