Model Description This is a sentence transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. How to use Using this model becomes easy when you have sentence transformers installed: Then you can use the model like this: Training The trained model is a fine tuned version of PlanTL GOB ES/roberta base bne focused on question/answer using MS MARCO dataset translated into Spanish (query positive negative negative negative negative) dataset to train. Features Base Model Config used to train Dataset: IIC/ms marco es (query positive negative negative negative negative) Loss: MultipleNegativesRankingLoss Config Source code to train https://github.com/bukosabino/sbert spanish/tree/main Considerations for Using the Model The model is designed for use in Spanish language, specially focused on Question/Answer. Max input length By default, input text longer than 512 word pieces is truncated. Additional Information Licesing This work is licensed under a Apache License, Version 2.0
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