roberta-subjectivity-regressor

Subjectivity regressor used by SAGE (Subjectivity-Aware Generation Estimator) of generated_text_detection_hub: it scores the assertions of a review on a 1 to 5 scale.

• Architecture: RobertaForSequenceClassification with a single regression output (problem_type: regression), RoBERTa-base size.
• Output: one real score per sentence (the hub reads it as subjectivity from 1 to 5). Max length 512 tokens.

Provenance and limits

The checkpoint this model was fine-tuned from, the training data, the training procedure and the evaluation metrics are not documented: config.json has no _name_or_path and the training code is not in the repository. No licence is stated for the weights. Use it as a component of the hub, not as a validated standalone regressor.

Use

python -m scripts.fetch_sage_models   # from the hub repository: downloads and checks both SAGE models into models/