MultiEvalSumVietN (Full-Document Evaluator)
Vietnamese summarization evaluator trained on (doc, summary) pairs. Outputs 3 scores in [0, 1]:
- Faithfulness
- Coherence
- Relevance
Files
config.json+model.safetensors: backbone (Transformers compatible)- tokenizer files (copied from
Fsoft-AIC/videberta-baseif available) arch_config.json: full-doc hyperparamstrunk.pt,head_*.pt: regression headsseg_attn.pt: segment attention module (whenagg_type="attn")modeling_summary_evaluator.py: reference loaderpackage_versions.json: environment snapshot
Quick load (reference)
from huggingface_hub import snapshot_download
from modeling_summary_evaluator import FullDocEvaluator
base_dir = snapshot_download("phuongntc/Multi_EvalSumVietN_FullDoc")
model = FullDocEvaluator(base_dir).eval()
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