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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 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)
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