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README.md
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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: "
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---
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# Model Trained Using AutoTrain
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auc: 0.9997361672360855
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accuracy: 0.995049504950495
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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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# Model Trained Using AutoTrain
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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.
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I am tired of reading fucking GPT-slop comments on reddit
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