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BaoNhan/
vi-qa-bartpho-syllable-base-ctx

Name: vi-qa-bartpho-syllable-base-ctx
Availability: InStock

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BARTpho-syllable-base__ctx

Fine-tuned from vinai/bartpho-syllable-base for Vietnamese question answering on BaoNhan/FAIR_Dataset_QA.

Input format: context + cau hoi (with-context)
Preprocess mode: syllable

Metrics (test set)

Metric	Value
Exact_Match	29.93
Token_F1	43.32
ROUGE_1_F1	43.32
ROUGE_2_F1	36.30
ROUGE_L_F1	40.85
BLEU	15.54
chrF	28.30
BERTScore_F1	87.81

Inference

predict.py is included in this repo:

bash

python predict.py --model BaoNhan/vi-qa-bartpho-syllable-base-ctx --mode syllable --use_context --context "..." \
    --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.

bibtex

@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}
}