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@@ -21,7 +21,7 @@ Special thanks to [deepset](https://huggingface.co/deepset/) for providing the m
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  Model score after fine-tuning scores best, compared to these models:
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- | Model Name | Spearman<br/>German |
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  |---------------------------------------------------------------|-------------------|
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  | xlm-r-distilroberta-base-paraphrase-v1 | 0.8079 |
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  | [xlm-r-100langs-bert-base-nli-stsb-mean-tokens](https://huggingface.co/sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens) | 0.7877 |
@@ -30,7 +30,7 @@ Model score after fine-tuning scores best, compared to these models:
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  | [T-Systems-onsite/<br/>german-roberta-sentence-transformer-v2](https://huggingface.co/T-Systems-onsite/german-roberta-sentence-transformer-v2) | 0.8529 |
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  | [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) | 0.8355 |
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  | [T-Systems-onsite/<br/>cross-en-de-roberta-sentence-transformer](https://huggingface.co/T-Systems-onsite/<br/>cross-en-de-roberta-sentence-transformer) | 0.8550 |
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- | aari1995/German_Semantic_STS_V2 | **0.8626** |
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  Model score after fine-tuning scores best, compared to these models:
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+ | Model Name | Spearman |
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  |---------------------------------------------------------------|-------------------|
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  | xlm-r-distilroberta-base-paraphrase-v1 | 0.8079 |
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  | [xlm-r-100langs-bert-base-nli-stsb-mean-tokens](https://huggingface.co/sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens) | 0.7877 |
 
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  | [T-Systems-onsite/<br/>german-roberta-sentence-transformer-v2](https://huggingface.co/T-Systems-onsite/german-roberta-sentence-transformer-v2) | 0.8529 |
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  | [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) | 0.8355 |
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  | [T-Systems-onsite/<br/>cross-en-de-roberta-sentence-transformer](https://huggingface.co/T-Systems-onsite/<br/>cross-en-de-roberta-sentence-transformer) | 0.8550 |
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+ | **aari1995/German_Semantic_STS_V2** | **0.8626** |
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