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README.md

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+---
+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.

classifier.joblib

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+oid sha256:4b260b9c4beca37747b67e3bdaacae8e209558ee0f8bef891ec14cc8cb53a013
+size 16287

label_encoder.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3443a3829aff360dd0874a6dcbaaa228653e23bcd991aa24d59356df331eba09
+size 587

metadata.json

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+{
+  "created_at": "2026-04-29T02:52:45.301316+00:00",
+  "embedding_model": "sentence-transformers/all-MiniLM-L6-v2",
+  "labels": [
+    "declarative",
+    "exclamatory",
+    "imperative",
+    "interrogative",
+    "optative"
+  ],
+  "dataset_path": "data\\sentence_function_dataset.csv",
+  "dataset_size": 125,
+  "test_size": 0.2,
+  "metrics": {
+    "declarative": {
+      "precision": 0.5,
+      "recall": 0.4,
+      "f1-score": 0.4444444444444444,
+      "support": 5.0
+    },
+    "exclamatory": {
+      "precision": 0.8333333333333334,
+      "recall": 1.0,
+      "f1-score": 0.9090909090909091,
+      "support": 5.0
+    },
+    "imperative": {
+      "precision": 1.0,
+      "recall": 0.8,
+      "f1-score": 0.8888888888888888,
+      "support": 5.0
+    },
+    "interrogative": {
+      "precision": 0.5,
+      "recall": 0.6,
+      "f1-score": 0.5454545454545454,
+      "support": 5.0
+    },
+    "optative": {
+      "precision": 1.0,
+      "recall": 1.0,
+      "f1-score": 1.0,
+      "support": 5.0
+    },
+    "accuracy": 0.76,
+    "macro avg": {
+      "precision": 0.7666666666666667,
+      "recall": 0.76,
+      "f1-score": 0.7575757575757576,
+      "support": 25.0
+    },
+    "weighted avg": {
+      "precision": 0.7666666666666667,
+      "recall": 0.76,
+      "f1-score": 0.7575757575757575,
+      "support": 25.0
+    }
+  }
+}