metadata

language: vi
tags:
  - math
  - llm
  - fine-tuning
license: apache-2.0
datasets:
  - microsoft/orca-math-word-problems-200k
model-index:
  - name: My-Math-LLM
    results:
      - task:
          type: text-generation
        dataset:
          name: microsoft/orca-math-word-problems-200k
          type: text
        metrics:
          - type: ROUGE_1, ROUGE_2, ROUGE_L
            value: 0.5578, 0.3020, 0.5114

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.