dariolopez
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README.md
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# Model Description
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# How to use
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# Training
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* [Base Model](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne)
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* [Config used to train](https://huggingface.co/dariolopez/roberta-base-bne-finetuned-msmarco-qa-es/blob/main/train_config.json)
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* Dataset: [dariolopez/ms-marco-es](https://huggingface.co/datasets/dariolopez/ms-marco-es) (query - positive - negative)
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```
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# Additional Information
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## Licesing
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# Model Description
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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.
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# How to use
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# Training
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The trained model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) focused on question/answer using [MS-MARCO dataset translated into Spanish](https://huggingface.co/datasets/dariolopez/ms-marco-es-500k) (query - positive - negative) dataset to train.
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## Features
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* [Base Model](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne)
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* [Config used to train](https://huggingface.co/dariolopez/roberta-base-bne-finetuned-msmarco-qa-es/blob/main/train_config.json)
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* Dataset: [dariolopez/ms-marco-es](https://huggingface.co/datasets/dariolopez/ms-marco-es) (query - positive - negative)
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}
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```
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# Considerations for Using the Model
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The model is designed for use in Spanish language, specially focused on Question/Answer.
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## Max input length
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By default, input text longer than 512 word pieces is truncated.
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# Additional Information
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## Licesing
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