Update README.md

README.md

@@ -19,11 +19,20 @@ This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentence
 
 Special thanks to [deepset](https://huggingface.co/deepset/) for providing the model gBERT-large and also to [Philip May](https://huggingface.co/philipMay) for the Translation of the dataset and chats about the topic.
 
-Model score after fine-tuning according to CSV:
+Model score after fine-tuning scores best, compared to these models:
+
+| Model Name                                                    | Spearman<br/>German |
+|---------------------------------------------------------------|-------------------|
+| xlm-r-distilroberta-base-paraphrase-v1                        | 0.8079            |
+| [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            |
+| xlm-r-bert-base-nli-stsb-mean-tokens                          | 0.7877            |
+| [roberta-large-nli-stsb-mean-tokens](https://huggingface.co/sentence-transformers/roberta-large-nli-stsb-mean-tokens)                            | 0.6371            |
+| [T-Systems-onsite/<br/>german-roberta-sentence-transformer-v2](https://huggingface.co/T-Systems-onsite/german-roberta-sentence-transformer-v2)       | 0.8529            |
+| [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) | 0.8355 |
+| [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        |
+| aari1995/German_Semantic_STS_V2 | **0.8626**        |
 
-**STS-B Test: 0.8626 (Spearman)**
 
-This is the best result achieved that I know of.
 
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