# PhucDanh/vit5-fine-tuning-for-question-answering

Model from Hugging Face for question answering: PhucDanh/vit5-fine-tuning-for-question-answering · transformers

## Facts

- Type: LLM
- Task: question-answering
- Framework: transformers
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/PhucDanh/vit5-fine-tuning-for-question-answering
- Hosting: hosted (5 files)
- Files: 5 hosted of 12 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 5 files, 906.3 MB
- Full repo upstream: 2.71 GB
- Recommended file: 2.71 GB (5 files)
- Download: https://huggingbay.xyz/artifact/hf-model-phucdanh-vit5-fine-tuning-for-question-answering/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-phucdanh-vit5-fine-tuning-for-question-answering/download-plan)
- Per-file SHA-256: available for 5 of 5 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-phucdanh-vit5-fine-tuning-for-question-answering/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 41
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for PhucDanh/vit5-fine-tuning-for-question-answering. Task: question answering. Library: transformers. Languages: vi. Datasets referenced by card metadata: taidng/UIT-ViQuAD2.0. Popularity signal at import: 41 downloads and 0 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: question-answering
- Library: transformers
- Task categories: question-answering
- Languages: vi
- Referenced datasets: taidng/UIT-ViQuAD2.0
- Metrics: exact_match, f1
- Paper ids: 2205.06457
- File hints: 12 upstream file samples

## Referenced Data

- Dataset: taidng/UIT-ViQuAD2.0
- Paper: 2205.06457

## File Hints

- .gitattributes (1.5 KB)
- README.md (9.1 KB)
- config.json (821 B)
- model.safetensors (862 MB) LFS
- optimizer.pt (1.7 GB) LFS
- rng_state.pth (14 KB) LFS
- scheduler.pt (1.0 KB) LFS
- special_tokens_map.json (2.2 KB)
- tokenizer.json (2.3 MB)
- tokenizer_config.json (20 KB)
- trainer_state.json (4.3 KB)
- training_args.bin (5.0 KB) LFS

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-25T02:18:31.438Z.
- Open license detected as mit.
- Model card references dataset context: taidng/UIT-ViQuAD2.0.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-phucdanh-vit5-fine-tuning-for-question-answering
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-phucdanh-vit5-fine-tuning-for-question-answering/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-phucdanh-vit5-fine-tuning-for-question-answering/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-phucdanh-vit5-fine-tuning-for-question-answering/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-phucdanh-vit5-fine-tuning-for-question-answering
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-phucdanh-vit5-fine-tuning-for-question-answering/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-phucdanh-vit5-fine-tuning-for-question-answering&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-phucdanh-vit5-fine-tuning-for-question-answering/decentralized-fallbacks