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slop-detector
trentmkelly/slop-detector
slop-detector is a text classification model from trentmkelly. Use it when you need a label for a piece of text. It is set up for transformers.
Old model. Please use https://huggingface.co/trentmkelly/slop-detector-mini-2 instead. Faster and more accurate, trained on more data.
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324
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109M
2.6 GB on disk
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Repo makeup
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.onnx1.4 GB · 44%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 29, 2025
- Updated
- Jun 14, 2025
- SHA
- 33336089
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Base models
Model card
From the Hugging Face model README
NOTICE
Old model. Please use https://huggingface.co/trentmkelly/slop-detector-mini-2 instead. Faster and more accurate, trained on more data.
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.03548985347151756
f1: 0.9950522264980759
precision: 0.9945054945054945
recall: 0.9955995599559956
auc: 0.9997361672360855
accuracy: 0.995049504950495
Purpose
I trained this on a bunch of top-level comments on reddit. Human class was the real responses to selfposts in various subs, and the LLM class was a response from one of several LLMs to the same post. I am tired of reading fucking GPT-slop comments on reddit.
Notes
Converted ONNX model is available for compatibility with transformers.js. Browser extension and mini version coming soon.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 29, 2025
- Updated
- Jun 14, 2025