readme: ---
  language:
  - es
  tags:
  - question-answering
  datasets:
  - squad_es
  metrics:
  - f1
  - em
  
  # Optional. Add this if you want to encode your eval results in a structured way.
  model-index:
  - name: beto-base-spanish-squades2
    results:
    - task: 
        type: question-answering # Required. Example: automatic-speech-recognition
        name: question-answering  # Optional. Example: Speech Recognition
      dataset:
        type: squad_es # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
        name: squad_es v2.0.0   # Required. Example: Common Voice zh-CN
        args: es         # Optional. Example: zh-CN
      metrics:
        - type: f1
          value: 62.70
          name: f1
        - type: exact match
          value: 54.60
          name: exact match
  ---
  
  The model has been trained on the second version of the [SQuAD_es](https://huggingface.co/datasets/squad_es) database. It is a question-answering dataset automatically translated from SQUAD to Spanish. This version includes the possibility that the answer does not exist within the context.
  
  The pretrained model used is ["dccuchile/bert-base-spanish-wwm-cased"](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased), also called as BETO, pretrained on a [big spanish corpus](https://github.com/josecannete/spanish-corpora).
  
  **METRICS**
  
  **F1:** 62.70
  **EM:** 54.60
  
  