# Jorgeutd/bert-base-uncased-finetuned-surveyclassification

Model from Hugging Face for text classification: Jorgeutd/bert-base-uncased-finetuned-surveyclassification · transformers

## Facts

- Type: LLM
- Task: text-classification
- Framework: transformers
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/Jorgeutd/bert-base-uncased-finetuned-surveyclassification
- Hosting: hosted (7 files)
- Files: 7 hosted of 11 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: 7 files, 438.9 MB
- Full repo upstream: 876.9 MB
- Recommended file: 876 MB (3 files)
- Download: https://huggingbay.xyz/artifact/hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification/download-plan)
- Per-file SHA-256: available for 7 of 7 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification/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: 20
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for Jorgeutd/bert-base-uncased-finetuned-surveyclassification. Task: text classification. Library: transformers. Languages: en. Base model: bert-base-uncased. Popularity signal at import: 26 downloads and 0 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: text-classification
- Library: transformers
- Base model: bert-base-uncased
- Task categories: text-classification
- Languages: en
- Metrics: accuracy, f1
- Model-index entries: bert-base-uncased-finetuned-surveyclassification
- File hints: 11 upstream file samples

## File Hints

- .gitattributes (1.2 KB)
- .gitignore (13 B)
- README.md (2.6 KB)
- config.json (891 B)
- model.safetensors (418 MB) LFS
- pytorch_model.bin (418 MB) LFS
- special_tokens_map.json (112 B)
- tokenizer.json (695 KB)
- tokenizer_config.json (321 B)
- training_args.bin (3.0 KB) LFS
- vocab.txt (226 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: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-08-29T04:04:34.522Z.
- Open license detected as apache-2.0.
- Model-index metadata found for bert-base-uncased-finetuned-surveyclassification.
- 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-jorgeutd-bert-base-uncased-finetuned-surveyclassification
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-base-uncased-finetuned-surveyclassification/decentralized-fallbacks