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Multi_EvalSum
phuongntc/Multi_EvalSum
Multi_EvalSum is a machine learning model from phuongntc. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repo contains a Vietnamese summary evaluation model: - Backbone: Fsoft-AIC/videberta-base - Head: 2-layer MLP for 3 regression scores: - faithfulness, coherence, relevance (range depends on training data, commonl…
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At a glance
- Model type
- deberta-v2
- Access
- Public
- Created
- Aug 24, 2025
- Updated
- Aug 24, 2025
- SHA
- f254c871
Model card
From the Hugging Face model README
Summary Evaluator (ViDeBERTa base + 2-layer MLP)
This repo contains a Vietnamese summary evaluation model:
- Backbone:
Fsoft-AIC/videberta-base - Head: 2-layer MLP for 3 regression scores:
- faithfulness, coherence, relevance (range depends on training data, commonly 1–5)
Files
config.json,model.safetensors, tokenizer files: backbone encoderregressor.pt: regression head weightshead_config.json: head metamodeling_summary_evaluator.py: convenience loader (from_pretrained_custom)training_args.json: training-time hyperparameters
Usage (inference)
- Type
- deberta-v2
- Created
- Aug 24, 2025
- Updated
- Aug 24, 2025