GPT Reddit Comment Detection
Collection
Collection of datasets and models used for detecting LLM bots on reddit. • 6 items • Updated • 1
slop-detector-mini-2 Model Card
Overview
Binary text classification model for detecting AI-generated content in Reddit comments. Optimized for client-side inference via Transformers.js in browser extensions.
Repository: reddit-llm-comment-detector
Model Details
- Problem Type: Binary Text Classification
- Training: AutoTrain framework
- Domain: Reddit-style conversational text
- Deployment: Browser-based inference (ONNX/Transformers.js)
Performance Metrics
| Metric | Value |
|---|---|
| Loss | 0.04163680970668793 |
| F1 Score | 0.9911573288058857 |
| Precision | 0.985579628587507 |
| Recall | 0.9967985202048947 |
| AUC | 0.9997115393414552 |
| Accuracy | 0.991107000569152 |
Usage
Used in browser extensions for real-time detection of AI-generated Reddit comments. Comments with >50% confidence scores are flagged for users.
Limitations
- Optimized for Reddit-style text; may vary on formal content
- English language focused
- No detection system is 100% accurate
- Downloads last month
- 537
Model tree for trentmkelly/slop-detector-mini-2
Base model
TaylorAI/gte-tiny