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---
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
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