GPT Reddit Comment Detection
Collection
Collection of datasets and models used for detecting LLM bots on reddit. • 6 items • Updated • 1
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.
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Model tree for trentmkelly/slop-detector
Base model
thenlper/gte-base