T-Systems-onsite
/

cross-en-de-roberta-sentence-transformer

Feature Extraction

sentence_embedding

xlm-r-distilroberta-base-paraphrase-v1

Inference Endpoints

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PhilipMay commited on Mar 31, 2023

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@@ -81,8 +81,8 @@ The evaluation has been done on English, German and both languages crossed with
 | xlm-r-bert-base-nli-stsb-mean-tokens                          | 0.7877            | 0.8465             | 0.7908           |
 | [roberta-large-nli-stsb-mean-tokens](https://huggingface.co/sentence-transformers/roberta-large-nli-stsb-mean-tokens)                            | 0.6371            | 0.8639             | 0.4109           |
 | [T-Systems-onsite/<br/>german-roberta-sentence-transformer-v2](https://huggingface.co/T-Systems-onsite/german-roberta-sentence-transformer-v2)       | 0.8529            | 0.8634             | 0.8415           |
-| [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) | 0.8355 | 0.8682 | 0.8309 |
-| **T-Systems-onsite/<br/>cross-en-de-roberta-sentence-transformer** | **0.8550**        |  **0.8660**        | **0.8525**       |
 ## License

 | xlm-r-bert-base-nli-stsb-mean-tokens                          | 0.7877            | 0.8465             | 0.7908           |
 | [roberta-large-nli-stsb-mean-tokens](https://huggingface.co/sentence-transformers/roberta-large-nli-stsb-mean-tokens)                            | 0.6371            | 0.8639             | 0.4109           |
 | [T-Systems-onsite/<br/>german-roberta-sentence-transformer-v2](https://huggingface.co/T-Systems-onsite/german-roberta-sentence-transformer-v2)       | 0.8529            | 0.8634             | 0.8415           |
+| [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) | 0.8355 | **0.8682** | 0.8309 |
+| **T-Systems-onsite/<br/>cross-en-de-roberta-sentence-transformer** | **0.8550**        |  0.8660        | **0.8525**       |
 ## License