metadata
tags:
- jenga-ai
- nlp
pipeline_tag: text-classification
metrics:
- accuracy
- f1
Police_Case_Multi-Task_v2 — Mar 09 00:25
Fine-tuned with 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.
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 |