Zhetan3/hw1-hc3-detector

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Homework 1 Results

This model was fine-tuned from sentence-transformers/all-MiniLM-L6-v2 to classify HC3 answer text.

• Labels: 0 = human, 1 = ChatGPT
• Dataset split: 80% training, 10% validation, 10% test, grouped by question with seed 42
• Training: 5 epochs, learning rate 2e-5, batch size 32, maximum sequence length 256 tokens
• Frozen-embedding logistic regression baseline test accuracy: 84.49%
• Fine-tuned model test accuracy: 98.56%
• Test examples: 4,668
• Fine-tuned errors: 67 human answers classified as ChatGPT; 0 ChatGPT answers classified as human

These results apply to the HC3 test split and do not establish reliable detection of current AI-generated text.