phuongntc
/

Multi_EvalSum

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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 encoder
regressor.pt: regression head weights
head_config.json: head meta
modeling_summary_evaluator.py: convenience loader (from_pretrained_custom)
training_args.json: training-time hyperparameters

Usage (inference)

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Safetensors

Model size

0.2B params

Tensor type

F32

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