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Update README.md

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  - sentence-transformers
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  - feature-extraction
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  - sentence-similarity
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- - language: es
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- ---
 
 
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  # bertin-roberta-base-finetuning-esnli
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@@ -36,7 +38,7 @@ print(embeddings)
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  ## Evaluation Results
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  <!--- Describe how your model was evaluated -->
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- Our model was evaluated on the task of Semantic Textual Similarity using the [SemEval-2015 Task](https://alt.qcri.org/semeval2015/task2/) for [Spanish](http://alt.qcri.org/semeval2015/task2/data/uploads/sts2015-es-test.zip).
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  | | [BETO STS](https://huggingface.co/espejelomar/sentece-embeddings-BETO) | BERTIN STS (this model) | Relative improvement |
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  |-------------------:|---------:|-----------:|---------------------:|
 
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  - sentence-transformers
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  - feature-extraction
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  - sentence-similarity
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+ language:
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+ - es
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+ dataset:
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+ - hackathon-pln-es/ESnli
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  # bertin-roberta-base-finetuning-esnli
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  ## Evaluation Results
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  <!--- Describe how your model was evaluated -->
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+ Our model was evaluated on the task of Semantic Textual Similarity using the [SemEval-2015 Task](https://alt.qcri.org/semeval2015/task2/) for [Spanish](http://alt.qcri.org/semeval2015/task2/data/uploads/sts2015-es-test.zip). We measure
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  | | [BETO STS](https://huggingface.co/espejelomar/sentece-embeddings-BETO) | BERTIN STS (this model) | Relative improvement |
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  |-------------------:|---------:|-----------:|---------------------:|