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README.md
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---
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language: en
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license: mit
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tags:
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- text-classification
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- bible
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- cross-reference
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- intertextuality
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- roberta
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pipeline_tag: text-classification
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library_name: transformers
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base_model: roberta-base
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datasets:
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- LoveJesus/intertextual-dataset-chirho
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---
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# Intertextual Classifier (RoBERTa-base) - chirho
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*For God so loved the world that he gave his only begotten Son, that whoever believes in him should not perish but have eternal life. - John 3:16*
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## Description
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A RoBERTa-base model fine-tuned for **classifying the type of connection** between pairs of Bible verses. Given two verses (as a sentence pair), it predicts one of 7 connection types.
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## Connection Types
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| Label | Description | Example |
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|-------|-------------|---------|
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| `direct_quote` | NT directly quotes OT | Mt 1:23 quotes Is 7:14 |
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| `allusion` | Clear reference without direct quotation | Rev 5:5 alludes to Gen 49:9 |
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| `thematic_parallel` | Shared theme or motif | Ps 23 parallels Jn 10 |
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| `typological` | OT type foreshadows NT antitype | Isaac sacrifice prefigures Christ |
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| `prophecy_fulfillment` | OT prophecy fulfilled in NT | Is 53 in Passion narratives |
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| `parallel_narrative` | Same event in parallel accounts | Synoptic parallels |
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| `contrast` | Deliberate theological contrast | Adam vs Christ (Rom 5) |
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## Training
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- **Base model**: roberta-base
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- **Task**: Single-label classification (7 classes)
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- **Data**: 28,612 Grok-labeled cross-reference pairs (class-weighted loss for imbalance)
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- **Epochs**: 8 (early stopping patience=3)
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- **Batch size**: 16
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- **Device**: Apple MPS (M4 Pro)
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## Evaluation (Test Set)
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- **F1 macro**: 0.42 | **Accuracy**: 70% | **Weighted F1**: 0.72
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| Class | Precision | Recall | F1 |
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|-------|-----------|--------|-----|
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| thematic_parallel | 0.91 | 0.76 | **0.83** |
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| direct_quote | 0.48 | 0.66 | **0.56** |
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| typological | 0.28 | 0.52 | **0.37** |
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| parallel_narrative | 0.26 | 0.55 | **0.36** |
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| prophecy_fulfillment | 0.30 | 0.44 | **0.35** |
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| allusion | 0.28 | 0.27 | **0.28** |
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| contrast | 0.13 | 0.24 | **0.17** |
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*Note: Class imbalance (75.9% thematic_parallel) limits macro F1. Weighted F1 of 0.72 better reflects practical performance.*
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## Usage
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```python
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from transformers import pipeline
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classifier = pipeline("text-classification", model="LoveJesus/intertextual-classifier-chirho")
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result = classifier({
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"text": "Therefore the Lord himself shall give you a sign; Behold, a virgin shall conceive",
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"text_pair": "Now all this was done, that it might be fulfilled which was spoken of the Lord by the prophet"
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})
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# → prophecy_fulfillment
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```
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## Part of models-chirho
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Paired with [LoveJesus/intertextual-embedder-chirho](https://huggingface.co/LoveJesus/intertextual-embedder-chirho) for full cross-reference discovery.
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Built with love for Jesus by [loveJesus](https://huggingface.co/LoveJesus).
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