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mBART-large-50__noctx

Fine-tuned from facebook/mbart-large-50 for Vietnamese question answering on BaoNhan/FAIR_Dataset_QA.

  • Input format: chi cau hoi (no-context)
  • Preprocess mode: raw

Metrics (test set)

Metric Value
Exact_Match 26.81
Token_F1 36.51
ROUGE_1_F1 36.51
ROUGE_2_F1 27.72
ROUGE_L_F1 34.35
BLEU 7.85
chrF 19.78
BERTScore_F1 86.73

Inference

predict.py is included in this repo:

python predict.py --model BaoNhan/vi-qa-mbart-large-50-noctx --mode raw \
    --question "Viet Nam co bao nhieu tinh thanh?"

Citation

A paper describing this benchmark is in preparation. If you use this code or the released checkpoints, please cite it once it is available — the entry below is a placeholder and will be updated with the final venue, authors, and year.

@misc{TODO_citation_key,
  title        = {TODO: paper title},
  author       = {TODO: author list},
  year         = {TODO},
  howpublished = {TODO: venue / arXiv preprint},
  note         = {Preprint in preparation},
  url          = {https://github.com/chaubaonhan/QA_Huit}
}
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