# ritulk/MPNET-fine-tuned-political-clustering

Model from Hugging Face for sentence similarity: ritulk/MPNET-fine-tuned-political-clustering · sentence transformers

## Facts

- Type: Embedding
- Task: sentence-similarity
- Framework: sentence-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/ritulk/MPNET-fine-tuned-political-clustering
- Hosting: hosted (8 files)
- Files: 8 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: 8 files, 438.7 MB
- Full repo upstream: 438.9 MB
- Recommended file: 438 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-ritulk-mpnet-fine-tuned-political-clustering/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-ritulk-mpnet-fine-tuned-political-clustering/download-plan)
- Per-file SHA-256: available for 8 of 8 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-ritulk-mpnet-fine-tuned-political-clustering/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 ritulk/MPNET-fine-tuned-political-clustering. Task: sentence similarity. Library: sentence transformers. Languages: en, ca. Base model: microsoft/mpnet-base. Includes 8 model-card evaluation signals. Popularity signal at import: 98 downloads and 0 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Base model: microsoft/mpnet-base
- Task categories: sentence-similarity
- Languages: en, ca
- Metrics: pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot
- Paper ids: 1908.10084
- Model-index entries: MPNet base trained on semantic text similarity
- Evaluation signals: 8 model-card eval results
- File hints: 12 upstream file samples

## Evaluation Signals

- Unknown: Pearson Cosine = 0.9369799393019737 (Semantic Similarity)
- Unknown: Spearman Cosine = 0.991833254558149 (Semantic Similarity)
- Unknown: Pearson Manhattan = 0.9582116235734125 (Semantic Similarity)
- Unknown: Spearman Manhattan = 0.9876060961452328 (Semantic Similarity)
- Unknown: Pearson Euclidean = 0.9594231143506534 (Semantic Similarity)
- Unknown: Spearman Euclidean = 0.9887559900790531 (Semantic Similarity)
- Unknown: Pearson Dot = 0.9469313911363318 (Semantic Similarity)
- Unknown: Spearman Dot = 0.9834282009396937 (Semantic Similarity)

## Referenced Data

- Paper: 1908.10084

## File Hints

- .gitattributes (1.5 KB)
- 1_Pooling/config.json (296 B)
- README.md (21 KB)
- config.json (551 B)
- config_sentence_transformers.json (205 B)
- model.safetensors (418 MB) LFS
- modules.json (229 B)
- sentence_bert_config.json (53 B)
- special_tokens_map.json (964 B)
- tokenizer.json (694 KB)
- tokenizer_config.json (1.6 KB)
- 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 2026-09-24T01:42:00.917Z.
- Open license detected as apache-2.0.
- Model-index metadata found for MPNet base trained on semantic text similarity.
- 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-ritulk-mpnet-fine-tuned-political-clustering
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-ritulk-mpnet-fine-tuned-political-clustering/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-ritulk-mpnet-fine-tuned-political-clustering/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-ritulk-mpnet-fine-tuned-political-clustering/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-ritulk-mpnet-fine-tuned-political-clustering
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-ritulk-mpnet-fine-tuned-political-clustering/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-ritulk-mpnet-fine-tuned-political-clustering&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-ritulk-mpnet-fine-tuned-political-clustering/decentralized-fallbacks