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README.md
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This is a text classification model based on `answerdotai/ModernBERT-large`, fine-tuned to distinguish between **human-written**, **AI-refined** and **AI-generated** code.
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The model was trained on the `DroidCollection` dataset. It's designed as a **
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A key feature of this model is its training objective, which combines standard **Cross-Entropy Loss** with a **Batch-Hard Triplet Loss**. This contrastive loss component encourages the model to learn more discriminative embeddings by pushing representations of human vs. machine code further apart in the vector space.
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This is a text classification model based on `answerdotai/ModernBERT-large`, fine-tuned to distinguish between **human-written**, **AI-refined** and **AI-generated** code.
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The model was trained on the `DroidCollection` dataset. It's designed as a **ternary classifier** to address the core task of AI code detection.
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A key feature of this model is its training objective, which combines standard **Cross-Entropy Loss** with a **Batch-Hard Triplet Loss**. This contrastive loss component encourages the model to learn more discriminative embeddings by pushing representations of human vs. machine code further apart in the vector space.
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