deutsche-telekom
/

gbert-large-paraphrase-cosine

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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PhilipMay commited on Mar 6, 2023

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@@ -26,7 +26,8 @@ This model is based on [deepset/gbert-large](https://huggingface.co/deepset/gber
 Many thanks to [deepset](https://www.deepset.ai/)!
 **Loss Function**\
-We have used [MultipleNegativesRankingLoss](https://www.sbert.net/docs/package_reference/losses.html#multiplenegativesrankingloss) with cosine similarity as the loss function:
 **Training Data**\
 The model is trained on a carefully filtered dataset of

 Many thanks to [deepset](https://www.deepset.ai/)!
 **Loss Function**\
+We have used [MultipleNegativesRankingLoss](https://www.sbert.net/docs/package_reference/losses.html#multiplenegativesrankingloss)
+with cosine similarity as the loss function.
 **Training Data**\
 The model is trained on a carefully filtered dataset of