pytorch xlm-roberta question-answering transformers
.gitattributes README.md config.json pytorch_model.bin sentencepiece.bpe.model special_tokens_map.json tokenizer_config.json
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