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@@ -76,11 +76,14 @@ print(sentence_embeddings)
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  ## Evaluation Results
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  ```
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- epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman
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- 0,-1,0.8441511943881872,0.842139456614267,0.8079280123390863,0.8133773844408285,0.8061045432939875,0.8120313077224331,0.765564331583017,0.7758911212599943
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- 1,-1,0.8505781800765124,0.8483036121137681,0.824043571251859,0.828168962987315,0.8227441143847719,0.8269561222926696,0.7895885844553006,0.7956808786541772
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- 2,-1,0.8540176327819012,0.8524414878771152,0.8278950073844416,0.8323727470271813,0.8268352374519953,0.8316947483386466,0.8027944039984911,0.8062262061975706
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- 3,-1,0.8532432895679434,0.851780980304441,0.8298723338734442,0.8340725567708174,0.8289668426348045,0.8333822263715207,0.8043286320186501,0.8063301333153703
 
 
 
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  ```
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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=hiiamsid/sentence_similarity_spanish_es)
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  ```
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  ## Citing & Authors
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-
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- <!--- Describe where people can find more information -->
 
 
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  ## Evaluation Results
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  ```
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+ cosine_pearson : 0.8280372842978689
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+ cosine_spearman : 0.8232689765056079
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+ euclidean_pearson : 0.81021993884437
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+ euclidean_spearman : 0.8087904592393836
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+ manhattan_pearson : 0.809645390126291
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+ manhattan_spearman : 0.8077035464970413
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+ dot_pearson : 0.7803662255836028
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+ dot_spearman : 0.7699607641618339
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  ```
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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=hiiamsid/sentence_similarity_spanish_es)
 
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  ```
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  ## Citing & Authors
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+ - Datasets : [stsb_multi_mt](https://huggingface.co/datasets/stsb_multi_mt)
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+ - Model : [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased)
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+ - Sentence Transformers [Semantic Textual Similarity](https://www.sbert.net/examples/training/sts/README.html)