---
tags:
  - jenga-ai
  - nlp
pipeline_tag: text-classification
metrics:
  - accuracy
  - f1
---
# Police_Case_Multi-Task_v2 — Mar 09 00:25

Fine-tuned with [JengaAI](https://github.com/TujengeAI/JengaAI) — a multi-task NLP training framework.

| Metric | Value |
|--------|-------|
| Accuracy | N/A |
| F1 Score | N/A |
| Modality | NLP |

## Loading with JengaAI SDK

This model uses a custom `MultiTaskModel` architecture and **requires the JengaAI SDK** to run inference.

```python
from jenga_ai.inference.predictor import MultiTaskPredictor

predictor = MultiTaskPredictor.from_checkpoint(
    model_dir="Rogendo/police_case_reporting_multitask_distilbert",   # HuggingFace repo ID
)
result = predictor.predict("Your text here")
print(result)
```

## Artifacts

| File | Description |
|------|-------------|
| `model.pt` | Trained model weights (PyTorch) |
| `experiment_config.yaml` | Full training config with label maps |
| `label_maps.json` | Class label mappings per task |
| `encoder_config/` | Base encoder tokenizer & config |