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- ## Main Features
 
 
 
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  The training of RoBERTa+CelebA has been performed with a Siamese network that evaluates the similarity of the embeddings generated by the transformer network using the cosine similarity metric.
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  Finally, the final training corpus for RoBERTa is defined by the Spanish text and the similarity score.
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  ## Citation information
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  **Citing**: If you used RoBERTa+CelebA in your work, please cite the **[????](???)**:
 
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+ ## Dataset Summary
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+ This dataset contains 250000 entries made up of a pair of sentences in Spanish and their respective similarity value. This corpus was used in the training of the
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+ Sentence-BERT library to improve the efficiency of the RoBERTA-large-bne base model.
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  The training of RoBERTa+CelebA has been performed with a Siamese network that evaluates the similarity of the embeddings generated by the transformer network using the cosine similarity metric.
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  Finally, the final training corpus for RoBERTa is defined by the Spanish text and the similarity score.
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+
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  ## Citation information
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  **Citing**: If you used RoBERTa+CelebA in your work, please cite the **[????](???)**: