Model Card for Math LLM (Vietnamese)
Model Details
Model Description
This model is a fine-tuned version of VinaLLaMA-7B-Chat, trained to solve elementary to secondary school math problems in Vietnamese. It utilizes the Microsoft ORCA Math Word Problems 200k dataset, enabling it to understand and solve word problems with high accuracy.
- Developed by: @Namronaldo2004, @Kiet2302, @Mels22, @JoeCao, @thiennbao
- Model type: Large Language Model (LLM) for Math Question-Answering
- Language(s) (NLP): Vietnamese
- License: Apache 2.0
- Finetuned from model: vilm/vinallama-7b-chat
Model Sources
- Repository: Source Github
Uses
Direct Use
This model can be used directly to solve elementary/secondary level math problems.
Downstream Use
This model can be fine-tuned on other math dataset to improve the context understanding in other fields such as physics or chemistry.
Out-of-Scope Use
This model is designed not to:
- Answer questions that are out of math scope.
- Deeply understand the complex/high level math theory.
Bias, Risks, and Limitations
This model can cause some errors when:
- Solve difficult math problems that have different ways to solve.
- Math problems with ambiguous description.
Recommendations
Users should not use the result from the bot without validation.
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.
Dataset used to train Namronaldo2004/math-vinallama-7b-chat
Evaluation results
- ROUGE_1, ROUGE_2, ROUGE_L on microsoft/orca-math-word-problems-200kself-reported0.5578, 0.3020, 0.5114