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README.md
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### Model
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- **Backbone encoder:** microsoft/deberta-v3-base
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- Mask-aware **mean pooling** over token embeddings + **LayerNorm**
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- **Regression head:**
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- **Max input length:** 512 tokens
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- The model outputs a bounded score in [0, 1]. In the examples below, the score is read from `outputs.logits` (shape `[batch, 1]`).
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### Model
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- **Backbone encoder:** microsoft/deberta-v3-base
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- Mask-aware **mean pooling** over token embeddings + **LayerNorm**
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- **Regression head:** Linear → ReLU → Linear → Sigmoid
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- **Max input length:** 512 tokens
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- The model outputs a bounded score in [0, 1]. In the examples below, the score is read from `outputs.logits` (shape `[batch, 1]`).
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