This model was fine-tuned from sentence-transformers/all-MiniLM-L6-v2 to classify English HC3 answers as human-written (label 0) or ChatGPT-generated (label 1). Training used the homework’s provided question-disjoint 80/10/10 splits with seed 42, five epochs, batch size 32, learning rate 2e-5, and maximum sequence length 256 tokens. - Frozen sentence-embedding + logistic-regression baseline accuracy: 84.49% The model was evaluated on historical HC3 data. These results do not establish reliable detection of writing from newer AI models or other domains.
Independent publisher
Yueshen Li
EasonListen
Models in Library1
Datasets in Library0
Models on Hugging Face1
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Published tasks: Text classification.
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