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---
library_name: transformers
license: mit
datasets:
- kodetr/stunting-qa-v1
language:
- id
metrics:
- bleu
- glue
- rouge
base_model:
- meta-llama/Llama-3.2-3B-Instruct
pipeline_tag: text-generation
---
### Model Description
<!-- Provide a longer summary of what this model is. -->
Konsultasi(Q&A) stunting pada anak
- **Developed by:** Tanwir
- **Language :** Indonesia
### Training
### Information Result Training
### Evaluation (GLUE)
### Evaluation (ROUGE)
- **ROUGE Base Model:** {'rouge1': 0.32442426784015754, 'rouge2': 0.21091087320145585, 'rougeL': 0.2997913044723025, 'rougeLsum': 0.3028164031975752}
- **ROUGE Finetuned Model:** {'rouge1': 0.45885281015363844, 'rouge2': 0.33303682535111623, 'rougeL': 0.42486098123248783, 'rougeLsum': 0.43147191004805796}
### BERTSCORE
- **BERTScore Base Model - F1:** 0.7268
- **BERTScore Finetuned Model - F1:** 0.7687
### Use with transformers
Pastikan untuk memperbarui instalasi transformer Anda melalui pip install --upgrade transformer.
```python
import torch
from transformers import pipeline
model_id = "kodetr/stunting-qa-v3"
pipe = pipeline(
"text-generation",
model=model_id,
torch_dtype=torch.bfloat16,
device_map="auto",
)
messages = [
{"role": "system", "content": "Jelaskan definisi 1000 hari pertama kehidupan."},
{"role": "user", "content": "Apa itu 1000 hari pertama kehidupan?"},
]
outputs = pipe(
messages,
max_new_tokens=256,
)
print(outputs[0]["generated_text"][-1])
``` |