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scn-deberta-v3-large – AI Model by Ishaank18 | AlphaNeural AI

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Ishaank18/
scn-deberta-v3-large

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Span Consistency Network (SCN) + DeBERTa-v3-Large

Custom architecture + custom loss (SCRD) trained for span-level extraction.

Architecture

Encoder: microsoft/deberta-v3-large
Span Consistency Network (SCN)
Marker-specific span width priors
Cross-marker attention (Actor → Action → Effect)
Loss: Span-Count Regularized Dice (SCRD)

Files

model.pt: PyTorch state dict + config
Tokenizer files: standard HuggingFace tokenizer artifacts

Usage

This is not a transformers.PreTrainedModel.

Load manually in PyTorch:

python

import torch
ckpt = torch.load('model.pt', map_location='cpu')
model.load_state_dict(ckpt['model_state_dict'])

Citation

If you use this model, please cite the associated paper or repository.