--- 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 Konsultasi(Q&A) stunting pada anak - **Developed by:** Tanwir - **Language :** Indonesia ### Training ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d6d2f8b06abf924b24349d/6QshLUs9eAnsKJZOGP2jc.png) ### Information Result Training ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d6d2f8b06abf924b24349d/eHj9f-z3ZkLrtwvBcMzy-.png) ### Evaluation (GLUE) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d6d2f8b06abf924b24349d/obTYsbLRg9gD2_8rzN8G5.png) ### 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]) ```