Feature Extraction
sentence-transformers
PyTorch
Safetensors
Transformers
German
English
xlm-roberta
semantic textual similarity
sts
semantic search
sentence similarity
paraphrasing
documents retrieval
passage retrieval
information retrieval
sentence-transformer
text-embeddings-inference
Inference Endpoints
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# Model card for PM-AI/paraphrase-distilroberta-base-v2_de-en
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For internal purposes and for testing, we have made a monolingual paraphrasing model from Sentence Transformers usable for _German + English_ via [Knowledge Distillation](https://arxiv.org/abs/2004.09813).
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The decision was made in favor of [sentence-transformers/paraphrase-distilroberta-base-v2](https://huggingface.co/sentence-transformers/paraphrase-distilroberta-base-v2) because this model has
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In addition, it has
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## Training
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1) Download of datasets
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# Model card for PM-AI/paraphrase-distilroberta-base-v2_de-en
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For internal purposes and for testing, we have made a monolingual paraphrasing model from Sentence Transformers usable for _German + English_ via [Knowledge Distillation](https://arxiv.org/abs/2004.09813).
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The decision was made in favor of [sentence-transformers/paraphrase-distilroberta-base-v2](https://huggingface.co/sentence-transformers/paraphrase-distilroberta-base-v2) because this model has no public available multilingual version (to our knowledge).
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In addition, it has significantly more training samples compared to its predecessor: 83.3 million samples were used instead of 24.6 million samples.
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## Training
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1) Download of datasets
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