README.md

---
library_name: transformers
license: mit
language:
- id
metrics:
- bleu
- bertscore
base_model:
- meta-llama/Llama-3.2-1B
pipeline_tag: text-generation
datasets:
- kodetr/hukum-indo-qa-v1
---

### Model Description

<!-- Provide a longer summary of what this model is. -->

Konsultasi(Q&A) hukum di indonesia menggunakan ai

- **Developed by:** Tanwir
- **Language :** Indonesia

### Data

Pengambilan data dilakukan dengan teknik scraping di website https://www.hukumonline.com, dari hasil scraping didapatkan data sebanyak 6.965

### Training

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d6d2f8b06abf924b24349d/OwNXqmQIslGJkfEZ9HPin.png)

### Information Result Training

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d6d2f8b06abf924b24349d/t_jkAFJcEjZLyikzGRZaE.png)

### Evaluation (ROUGE)

- **ROUGE Base Model:** {'rouge1': 0.010078955805785689, 'rouge2': 0.0010782076211080282, 'rougeL': 0.008359498894171894, 'rougeLsum': 0.008501491288108246}
- **ROUGE Finetuned Model:** {'rouge1': 0.012345676185364394, 'rouge2': 0.0015236094542167386, 'rougeL': 0.010369116143308318, 'rougeLsum': 0.010345376512436985}

### BERTSCORE

- **BERTScore Base Model - F1:** 0.5445
- **BERTScore Finetuned Model - F1:** 0.5520

### Use with transformers

Pastikan untuk memperbarui instalasi transformer Anda melalui pip install --upgrade transformer.

```python
import torch
from transformers import pipeline

model_id = "kodetr/hukum-indo-qa-v1"
pipe = pipeline(
    "text-generation",
    model=model_id,
    torch_dtype=torch.bfloat16,
    device_map="auto",
)

messages = [
    {"role": "system", "content": "Undang-undang yang sifatnya lex specialis untuk DPRD, apakah UU No.17 Tahun 2014 atau UU No.23 Tahun 2014?"},
    {"role": "user", "content": ""},
]
outputs = pipe(
    messages,
    max_new_tokens=256,
)
print(outputs[0]["generated_text"][-1])
```