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beto-base-spanish-squades2

Question Answering

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beto-base-spanish-squades2 / README.md

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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