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  # Model Description
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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).
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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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  ```
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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