This repository contains the merged FP32 ONNX model used by @clueso/ai-text-detector, a local AI-text detector for Node.js. It is a LoRA fine-tune of wasitaigeneratedcom/ai-text-detector-small. The original four output classes and mask-aware mean-pooling architecture are preserved: The ONNX graph contains the DeBERTa encoder, mask-aware mean pooling, and four-class classifier. No remote code is required. Only the published MAGE training split was used for gradient updates. The accepted training sample contained 4,000 human and 4,000 AI documents, balanced across sources. Rank-8 LoRA adapters were trained on all 24 layers' query and value projections together with the classifier. This made…
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Bill Fisk
BillFisk
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Published tasks: Text classification.
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