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--- |
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library_name: transformers |
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tags: |
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- autotrain |
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- text-classification |
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base_model: thenlper/gte-base |
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widget: |
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- text: "Wow, thanks for sharing this totally rad post, bro!" |
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--- |
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# __NOTICE__ |
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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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# Model Trained Using AutoTrain |
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- Problem type: Text Classification |
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## Validation Metrics |
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loss: 0.03548985347151756 |
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f1: 0.9950522264980759 |
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precision: 0.9945054945054945 |
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recall: 0.9955995599559956 |
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auc: 0.9997361672360855 |
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accuracy: 0.995049504950495 |
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## Purpose |
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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. |
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## Notes |
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Converted ONNX model is available for compatibility with transformers.js. Browser extension and mini version coming soon. |
