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ethics-review-deberta
JohnLicode/ethics-review-deberta
ethics-review-deberta is a text classification model from JohnLicode. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
A fine-tuned DeBERTa-v3-base model for classifying research ethics guideline compliance.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Nov 29, 2025
- Updated
- May 3, 2026
- SHA
- 99892050
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Model card
From the Hugging Face model README
Ethics Review DeBERTa Model
A fine-tuned DeBERTa-v3-base model for classifying research ethics guideline compliance.
Model Description
This model classifies text segments from research proposals to determine if they adequately address specific ethics review guidelines.
Labels
- LABEL_0 / ADDRESSED: The text adequately addresses the ethics guideline
- LABEL_1 / NEEDS_REVISION: The text needs revision or doesn't address the guideline
Usage
from transformers import pipeline
classifier = pipeline("text-classification", model="JohnLicode/ethics-review-deberta")
# Example
text = "Guideline 1.1 Objectives: The general objective is to develop an AI ethics review system."
result = classifier(text)
print(result)
# [{'label': 'LABEL_0', 'score': 0.95}] # ADDRESSED
Training
- Base model:
microsoft/deberta-v3-base - Task: Binary text classification
- Training data: Custom ethics review dataset with 30 guideline categories
Intended Use
This model is designed to assist ethics review committees by providing preliminary assessments of research proposals against institutional guidelines.
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- en
- Created
- Nov 29, 2025
- Updated
- May 3, 2026