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@@ -78,7 +78,12 @@ print(sentence_embeddings)
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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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- <img width="500px" src="https://media.vlpt.us/images/jaehyeong/post/ea83f369-ce37-4e7e-b727-18c3ba7f6174/%E1%84%89%E1%85%B3%E1%84%8F%E1%85%B3%E1%84%85%E1%85%B5%E1%86%AB%E1%84%89%E1%85%A3%E1%86%BA%202022-03-01%20%E1%84%8B%E1%85%A9%E1%84%8C%E1%85%A5%E1%86%AB%201.06.52.png">
 
 
 
 
 
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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