# bbmb/deep-learning-for-embedding-model-ssilwal-qpham6_army_doc

Model from Hugging Face for sentence similarity: bbmb/deep-learning-for-embedding-model-ssilwal-qpham6_army_doc · 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/bbmb/deep-learning-for-embedding-model-ssilwal-qpham6_army_doc
- 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, 91.6 MB
- Full repo upstream: 91.9 MB
- Recommended file: 90.9 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc/download-plan)
- Per-file SHA-256: available for 8 of 8 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc/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: 105
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for bbmb/deep-learning-for-embedding-model-ssilwal-qpham6_army_doc. Task: sentence similarity. Library: sentence transformers. Languages: en. Base model: sentence-transformers/all-MiniLM-L6-v2. Includes 12 model-card evaluation signals. Popularity signal at import: 105 downloads and 0 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Base model: sentence-transformers/all-MiniLM-L6-v2
- Task categories: sentence-similarity
- Languages: en
- Metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10
- Paper ids: 1908.10084, 2205.13147, 1705.00652
- Model-index entries: deep learning project 2
- Evaluation signals: 12 model-card eval results
- File hints: 12 upstream file samples

## Evaluation Signals

- dim 384: Cosine Accuracy@1 = 0.0037313432835820895 (Information Retrieval)
- dim 384: Cosine Accuracy@3 = 0.013059701492537313 (Information Retrieval)
- dim 384: Cosine Accuracy@5 = 0.048507462686567165 (Information Retrieval)
- dim 384: Cosine Accuracy@10 = 0.4496268656716418 (Information Retrieval)
- dim 384: Cosine Precision@1 = 0.0037313432835820895 (Information Retrieval)
- dim 384: Cosine Precision@3 = 0.00435323383084577 (Information Retrieval)
- dim 384: Cosine Precision@5 = 0.009701492537313432 (Information Retrieval)
- dim 384: Cosine Precision@10 = 0.04496268656716418 (Information Retrieval)
- dim 256: Cosine Accuracy@1 = 0.0037313432835820895 (Information Retrieval)
- dim 256: Cosine Accuracy@3 = 0.011194029850746268 (Information Retrieval)

## Referenced Data

- Paper: 1908.10084
- Paper: 2205.13147
- Paper: 1705.00652

## File Hints

- .gitattributes (1.5 KB)
- 1_Pooling/config.json (296 B)
- README.md (46 KB)
- config.json (678 B)
- config_sentence_transformers.json (205 B)
- model.safetensors (87 MB) LFS
- modules.json (349 B)
- sentence_bert_config.json (53 B)
- special_tokens_map.json (695 B)
- tokenizer.json (695 KB)
- tokenizer_config.json (1.4 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 2026-09-23T23:42:00.619Z.
- Open license detected as apache-2.0.
- Model-index metadata found for deep learning project 2.
- 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-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-bbmb-deep-learning-for-embedding-model-ssilwal-qpham6-army-doc/decentralized-fallbacks