math_model

Math Model — Olympiad-Focused SFT Checkpoint

This model is a fine-tuned version of Qwen/Qwen3-1.7B for mathematical reasoning, developed for the CS-552 standard project math track.

The model was trained to solve competition-style mathematics problems and produce final answers in boxed LaTeX format.

Base Model

• Base model: Qwen/Qwen3-1.7B
• Fine-tuning method: LoRA supervised fine-tuning
• Target task: mathematical reasoning and short-answer competition problems

Training Data

The final submitted checkpoint was trained on approximately 25,165 examples from hard mathematical reasoning datasets:

The NuminaMath subset was filtered to focus on harder mathematical sources:

• Olympiads
• AoPS Forum
• AMC/AIME
• MATH

The OpenR1 subset was filtered to competition-relevant categories:

• Algebra
• Geometry
• Number Theory
• Combinatorics
• Inequalities

Training Details

Generation Configuration

The submitted generation configuration uses sampling:

{
  "do_sample": true,
  "temperature": 0.25,
  "top_p": 0.85,
  "top_k": 30
}