# deepset/tinyroberta-squad2

Model from Hugging Face for question answering: deepset/tinyroberta-squad2 · transformers

## Facts

- Type: LLM
- Task: question-answering
- Framework: transformers
- License: cc-by-4.0 — cc-by-4.0: commercial use, modification, and redistribution are permitted with attribution. (https://spdx.org/licenses/CC-by-4.0.html)
- Source: https://huggingface.co/deepset/tinyroberta-squad2
- Hosting: unknown (no download location recorded)
- Files: 10 listed, none hosted here
- 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: availability unknown
- Full repo upstream: 654.9 MB
- Download: none recorded
- Per-file SHA-256: not available (no files hosted on Hugging Bay)
- 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: 151058
- Stars: 114
- Card completeness: 96%

## Description

External Hugging Face catalog record for deepset/tinyroberta-squad2. Task: question answering. Library: transformers. Languages: en. Datasets referenced by card metadata: squad_v2. Includes 12 model-card evaluation signals. Popularity signal at import: 172,180 downloads and 114 likes.

## Model Card Facts

- Declared license: cc-by-4.0
- Pipeline: question-answering
- Library: transformers
- Task categories: question-answering
- Languages: en
- Referenced datasets: squad_v2
- Paper ids: 1909.10351
- Model-index entries: deepset/tinyroberta-squad2
- Evaluation signals: 12 model-card eval results
- File hints: 10 upstream file samples

## Evaluation Signals

- squad_v2: Exact Match = 78.8627 (Question Answering)
- squad_v2: F1 = 82.0355 (Question Answering)
- squad: Exact Match = 83.86 (Question Answering)
- squad: F1 = 90.752 (Question Answering)
- adversarial_qa: Exact Match = 25.967 (Question Answering)
- adversarial_qa: F1 = 37.006 (Question Answering)
- squad_adversarial: Exact Match = 76.329 (Question Answering)
- squad_adversarial: F1 = 83.292 (Question Answering)
- squadshifts amazon: Exact Match = 63.915 (Question Answering)
- squadshifts amazon: F1 = 78.395 (Question Answering)

## Referenced Data

- Dataset: squad_v2
- Paper: 1909.10351

## File Hints

- .gitattributes (1.2 KB)
- README.md (9.1 KB)
- config.json (835 B)
- merges.txt (446 KB)
- model.safetensors (311 MB) LFS
- pytorch_model.bin (311 MB) LFS
- special_tokens_map.json (239 B)
- tokenizer.json (1.3 MB)
- tokenizer_config.json (383 B)
- vocab.json (780 KB)

## 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: pending

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-21T01:09:51.051Z.
- Upstream license: cc-by-4.0. Mirror admission policy: permissive (owner policy; no license rights inferred).
- Model-index metadata found for deepset/tinyroberta-squad2.
- Model card references dataset context: squad_v2.
- Not locally hosted, mirrored, signed, or rescanned by Hugging Bay.
- 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-deepset-tinyroberta-squad2
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-deepset-tinyroberta-squad2/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-deepset-tinyroberta-squad2/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-deepset-tinyroberta-squad2/distribution
- Manifest: not available until files are hosted and release checks pass.
- Request mirror: POST https://huggingbay.xyz/api/artifacts/hf-model-deepset-tinyroberta-squad2/mirror-request
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-deepset-tinyroberta-squad2/decentralized-fallbacks