The Reader model is for Korean Question Answering

The backbone model is deepset/xlm-roberta-large-squad2.

It is a finetuned model with KorQuAD-v1 dataset.


As a result of verification using KorQuAD evaluation dataset, it showed approximately 87% and 92% respectively for the EM score and F1 score.

Thank you
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transformers pytorch xlm-roberta question-answering endpoints_compatible region:us
TAGS
#transformers #pytorch #xlm-roberta #question-answering #endpoints_compatible #region-us 

The Reader model is for Korean Question Answering

The backbone model is deepset/xlm-roberta-large-squad2.

It is a finetuned model with KorQuAD-v1 dataset.


As a result of verification using KorQuAD evaluation dataset, it showed approximately 87% and 92% respectively for the EM score and F1 score.

Thank you
TAGS
#transformers #pytorch #xlm-roberta #question-answering #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #xlm-roberta #question-answering #endpoints_compatible #region-us 
