# Francesco-A/BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1

Model from Hugging Face for token classification: Francesco-A/BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1 · peft

## Facts

- Type: LLM
- Task: token-classification
- Framework: peft
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/Francesco-A/BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1
- Hosting: hosted (4 files)
- Files: 4 hosted of 9 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: 4 files, 3.06 MB
- Full repo upstream: 3.19 MB
- Download: Only companion files are available
- Per-file SHA-256: available for 4 of 4 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-biomedbert-base-uncased-ner-abstract-bc5cdr-lora-v1-1/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: 54
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for Francesco-A/BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1. Task: token classification. Library: peft. Base model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract. Includes 4 model-card evaluation signals. Popularity signal at import: 632 downloads and 0 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: token-classification
- Library: peft
- Base model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
- Task categories: token-classification
- Metrics: precision, recall, f1, accuracy
- Model-index entries: BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1
- Evaluation signals: 4 model-card eval results
- File hints: 9 upstream file samples

## Evaluation Signals

- BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1: Precision = 0.8214 (Token Classification)
- BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1: Recall = 0.8803 (Token Classification)
- BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1: F1 = 0.8498 (Token Classification)
- BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1: Accuracy = 0.9697 (Token Classification)

## File Hints

- .gitattributes (1.6 KB)
- README.md (12 KB)
- adapter_config.json (1.1 KB)
- adapter_model.safetensors (2.3 MB) LFS
- config.json (914 B)
- evals/images/BiomedNLP-PubMedBERT-base-uncased-ner-abstract-bc5cdr-v1.1_train_history.png (103 KB) LFS
- tokenizer.json (663 KB)
- tokenizer_config.json (379 B)
- training_args.bin (5.3 KB) 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 2026-09-22T22:17:14.267Z.
- Open license detected as mit.
- Model-index metadata found for BiomedNLP-BiomedBERT-base-uncased-ner-abstract-bc5cdr-LoRA-v1.1.
- 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-francesco-a-biomednlp-biomedbert-base-uncased-ner-abstract-bc5cdr-lora-v1-1
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-biomedbert-base-uncased-ner-abstract-bc5cdr-lora-v1-1/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-biomedbert-base-uncased-ner-abstract-bc5cdr-lora-v1-1/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-biomedbert-base-uncased-ner-abstract-bc5cdr-lora-v1-1/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-francesco-a-biomednlp-biomedbert-base-uncased-ner-abstract-bc5cdr-lora-v1-1
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-biomedbert-base-uncased-ner-abstract-bc5cdr-lora-v1-1/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-francesco-a-biomednlp-biomedbert-base-uncased-ner-abstract-bc5cdr-lora-v1-1&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-biomedbert-base-uncased-ner-abstract-bc5cdr-lora-v1-1/decentralized-fallbacks