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slop-detector-mini-2

Text Classification
Transformers
TensorBoard
ONNX
Safetensors
bert
Trained with AutoTrain
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slop-detector-mini-2 / README.md
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metadata
library_name: transformers
tags:
  - autotrain
  - text-classification
base_model: TaylorAI/gte-tiny
widget:
  - text: I love AutoTrain
datasets:
  - trentmkelly/gpt-slop-2

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