Update README.md

README.md

@@ -17,6 +17,8 @@ datasets:
 metrics:
 - Spearman’s rank correlation
 - cosine similarity
+base_model:
+- sentence-transformers/xlm-r-distilroberta-base-paraphrase-v1
 ---
 
 # Cross English & German RoBERTa for Sentence Embeddings
@@ -88,4 +90,4 @@ The evaluation has been done on English, German and both languages crossed with
 
 Copyright (c) 2020 [Philip May](https://philipmay.org), T-Systems on site services GmbH
 
-Licensed under the MIT License (the "License"); you may not use this work except in compliance with the License. You may obtain a copy of the License by reviewing the file [LICENSE](https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer/blob/main/LICENSE) in the repository.
+Licensed under the MIT License (the "License"); you may not use this work except in compliance with the License. You may obtain a copy of the License by reviewing the file [LICENSE](https://huggingface.co/T-Systems-onsite/cross-en-de-roberta-sentence-transformer/blob/main/LICENSE) in the repository.