# Mitchins/deberta-v3-small-literary-explicitness

Model from Hugging Face for text classification: Mitchins/deberta-v3-small-literary-explicitness · pytorch

## Facts

- Type: LLM
- Task: text-classification
- Framework: pytorch
- 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/Mitchins/deberta-v3-small-literary-explicitness
- Hosting: hosted (6 files)
- Files: 6 hosted of 22 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: 6 files, 576.3 MB
- Full repo upstream: 580.4 MB
- Recommended file: 567.6 MB (2 files)
- Download: https://huggingbay.xyz/artifact/hf-model-mitchins-deberta-v3-small-literary-explicitness/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-mitchins-deberta-v3-small-literary-explicitness/download-plan)
- Per-file SHA-256: available for 6 of 6 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-mitchins-deberta-v3-small-literary-explicitness/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: 98
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for Mitchins/deberta-v3-small-literary-explicitness. Task: text classification. Library: pytorch. Languages: en. Base model: microsoft/deberta-v3-small. Includes 3 model-card evaluation signals. Popularity signal at import: 98 downloads and 0 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: text-classification
- Library: pytorch
- Base model: microsoft/deberta-v3-small
- Task categories: text-classification
- Languages: en
- Model-index entries: deberta-v3-small-explicit-classifier-v2
- Evaluation signals: 3 model-card eval results
- File hints: 16 upstream file samples

## Evaluation Signals

- Custom Literary Dataset (Deduplicated): Accuracy = 0.818 (Literary Explicitness Classification)
- Custom Literary Dataset (Deduplicated): Macro F1 = 0.754 (Literary Explicitness Classification)
- Custom Literary Dataset (Deduplicated): Weighted F1 = 0.816 (Literary Explicitness Classification)

## File Hints

- .gitattributes (1.7 KB)
- README.md (7.7 KB)
- TRAINING_SUMMARY.md (5.5 KB)
- added_tokens.json (23 B)
- calibration.png (540 KB) LFS
- config.json (1.2 KB)
- confusion_matrix.png (259 KB) LFS
- improved_classification_report.txt (1.4 KB)
- inference_example.py (3.0 KB)
- label_encoder.json (749 B)
- label_mapping.json (447 B)
- model.safetensors (541 MB) 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 2026-09-24T03:20:51.075Z.
- Open license detected as apache-2.0.
- Model-index metadata found for deberta-v3-small-explicit-classifier-v2.
- 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-mitchins-deberta-v3-small-literary-explicitness
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-mitchins-deberta-v3-small-literary-explicitness/files?limit=100
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- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-mitchins-deberta-v3-small-literary-explicitness/distribution
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- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-mitchins-deberta-v3-small-literary-explicitness/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-mitchins-deberta-v3-small-literary-explicitness&limit=100
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