StanfordSCALE
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tutor_talkmoves_modernbert_base_classifier

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 tags: []
 ---
+# Tutor Talk Moves Classifier (ModernBERT)
+## Model Description
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) that classifies tutor utterances based on teacher talk moves from [talkmoves.com](https://www.talkmoves.com/).
+The model identifies whether a tutor's message represents one of the following three categories, or none of them:
+- Classroom management
+- Pressing for accuracy or reasoning
+- Restating or revoicing
+## Training Data
+This model is trained on text of tutoring sessions from three different tutoring providers, annotated by two raters.
+- **Inter-Rater Reliability with Krippendorff's Alpha**: 0.83
+- **Total Training Examples**: 1,849
+- **Class Distribution**:
+| Class | Examples | Percentage |
+|-------|----------|------------|
+| None | 987 | 53.4% |
+| Classroom management | 284 | 15.4% |
+| Pressing for accuracy or reasoning | 474 | 25.6% |
+| Restating or revoicing | 104 | 5.6% |
+## Data Format
+The is trained on utterances with the following format: `[PRETEXT] {3 previous messages} [TEXT] {target message}`,
+where `[PRETEXT]` and `[TEXT]` are special tokens.
+Names are anonymized, message text is lowercased, and leading and trailing whitespace is removed.
+**Example**:
+```
+[PRETEXT] tutor: hello there [student]
+tutor: what is the answer to this problem?
+student: the answer is 6 [TEXT] tutor: why do you say the answer is 6?
+```
+## Performance
+Test set results (264 examples):
+| Class | Precision | Recall | F1-Score | Support |
+|-------|-----------|--------|----------|---------|
+| 0 - None | 0.9158 | 0.9062 | 0.9110 | 192 |
+| 1 - Classroom Management | 0.6818 | 0.6818 | 0.6818 | 22 |
+| 2 - Pressing for Accuracy or Reasoning | 0.7826 | 0.8571 | 0.8182 | 42 |
+| 3 - Restating or Revoicing | 0.5000 | 0.3750 | 0.4286 | 8 |
+| **Macro Average** | **0.7201** | **0.7051** | **0.7099** | **264** |
+| **Weighted Average** | **0.8625** | **0.8636** | **0.8625** | **264** |