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README.md
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##
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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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- 100M<n<1B
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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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## Citation information
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**Citing**: If you used RoBERTa+CelebA in your work, please cite the **[????](???)**:
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