roberta-speech-act-classifier

Speech-act classifier used by SAGE (Subjectivity-Aware Generation Estimator) of generated_text_detection_hub to label each sentence of a review.

• Architecture: RobertaForSequenceClassification (RoBERTa-base size: 12 layers, hidden size 768, 514 positions), 5 classes.
• Labels: 0 Assertion, 1 Expressive, 2 Neither, 3 Question, 4 Suggestion.
• Input: one sentence (the hub splits reviews with pysbd). 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 classifier.

Use

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