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---
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
### Information Result Training
### 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])
``` |