
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


{"language": ["es"], "tags": ["question-answering"], "datasets": ["squad_es"], "metrics": ["f1", "em"], "model-index": [{"name": "beto-base-spanish-squades2", "results": [{"task": {"type": "question-answering", "name": "question-answering"}, "dataset": {"name": "squad_es v2.0.0", "type": "squad_es", "args": "es"}, "metrics": [{"type": "f1", "value": 62.7, "name": "f1"}, {"type": "exact match", "value": 54.6, "name": "exact match"}]}]}]}
transformers pytorch bert question-answering es dataset:squad_es model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #question-answering #es #dataset-squad_es #model-index #endpoints_compatible #region-us 


The model has been trained on the second version of the 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", also called as BETO, pretrained on a big spanish corpus.

METRICS

F1: 62.70
EM: 54.60


TAGS
#transformers #pytorch #bert #question-answering #es #dataset-squad_es #model-index #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #question-answering #es #dataset-squad_es #model-index #endpoints_compatible #region-us 
