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hw1-hc3-detector
YihangSun/hw1-hc3-detector
hw1-hc3-detector is a text classification model from YihangSun. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
Fine-tuned sentence-transformers/all-MiniLM-L6-v2 for binary AI-generated text detection on the HC3 (English) corpus.
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At a glance
- Task
- Text Classification
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 18, 2026
- Updated
- Sep 30, 2026
- SHA
- 10151adf
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Model card
From the Hugging Face model README
HW1 — HC3 AI-Generated Text Detector
Fine-tuned sentence-transformers/all-MiniLM-L6-v2 for binary AI-generated text detection on the
HC3 (English) corpus.
Labels: 0 = human, 1 = ChatGPT.
Results (held-out HC3 test split, 4668 answers)
| Model | Test accuracy |
|---|---|
Frozen sentence-transformers/all-MiniLM-L6-v2 embeddings + logistic regression (baseline) | 0.8449 |
| Fine-tuned encoder + classification head (this model) | 0.9901 |
Confusion matrix of the fine-tuned model (rows = true, cols = predicted; order human, ChatGPT):
[[2288 46]
[ 0 2334]]
Training setup
- Data: HC3 English, revision
4d0ff18143b5a7e1b1e79beb540c04549d1e59d3, one human and one ChatGPT answer per question, split 80/10/10 by question with seed 42 so no question crosses splits. - Objective: cross-entropy,
num_labels=2. - Optimizer: AdamW, learning rate 2e-05, batch size 32, 5 epochs,
max_length=256with dynamic padding.
Intended use and limitations
Coursework artifact for CS546. HC3 was collected from ChatGPT in late 2022 under a single prompting setup, and part of what this classifier separates is collection artifacts rather than authorship. It is not a reliable detector for contemporary AI-generated text and must not be used to make accusations about real student work.
- Task
- Text Classification
- Type
- bert
- License
- apache-2.0
- Created
- Sep 18, 2026
- Updated
- Sep 30, 2026