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BaoNhan/
vi-qa-vit5-base-noctx

Name: vi-qa-vit5-base-noctx
Availability: InStock

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ViT5-base__noctx

Fine-tuned from VietAI/vit5-base 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	30.09
Token_F1	36.02
ROUGE_1_F1	36.02
ROUGE_2_F1	31.11
ROUGE_L_F1	35.02
BLEU	4.76
chrF	16.91
BERTScore_F1	86.38

Inference

predict.py is included in this repo:

bash

python predict.py --model BaoNhan/vi-qa-vit5-base-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.

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}
}