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README.md
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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## Training
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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**EmbeddingSimilarityEvaluator: Evaluating the model on sts-test dataset:**
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- Cosine-Similarity : Pearson: 0.8901 Spearman: 0.8893
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- Manhattan-Distance: Pearson: 0.8867 Spearman: 0.8818
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- Euclidean-Distance: Pearson: 0.8875 Spearman: 0.8827
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- Dot-Product-Similarity: Pearson: 0.8786 Spearman: 0.8735
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- Average : 0.8892573547643868
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## Training
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