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README.md
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metrics:
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- Spearman’s rank correlation
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- cosine similarity
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---
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# Cross English & German RoBERTa for Sentence Embeddings
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Copyright (c) 2020 [Philip May](https://philipmay.org), T-Systems on site services GmbH
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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.
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metrics:
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- Spearman’s rank correlation
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- cosine similarity
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base_model:
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- sentence-transformers/xlm-r-distilroberta-base-paraphrase-v1
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---
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# Cross English & German RoBERTa for Sentence Embeddings
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Copyright (c) 2020 [Philip May](https://philipmay.org), T-Systems on site services GmbH
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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.
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