| # 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) | |
| ``` |