| language: en | |
| tags: | |
| - sentence-classification | |
| - sentence-transformers | |
| - text-classification | |
| library_name: scikit-learn | |
| # Sentence Function Classifier | |
| This model classifies English sentences as: declarative, exclamatory, imperative, interrogative, optative. | |
| It embeds sentences with `sentence-transformers/all-MiniLM-L6-v2` and predicts the final | |
| class with a logistic regression classifier trained on a balanced seed dataset. | |
| ## Intended Use | |
| This is designed for educational demos and lightweight sentence-function | |
| analysis. It is not intended as a grammar authority for high-stakes assessment. | |
| ## Evaluation | |
| - Dataset size: 125 | |
| - Held-out test split: 0.2 | |
| - Accuracy: 0.760 | |
| The seed dataset is small, so the metrics should be treated as a smoke test | |
| rather than a final benchmark. | |