🚀 Qwen2.5-3B Fine-Tuned on BBH (Geometric Shapes) - Model Card
📌 Model Overview
Model Name: Qwen2.5-3B Fine-Tuned on BBH (Geometric Shapes)
Base Model: Qwen2.5-3B-Instruct
Fine-Tuned Dataset: BBH (BigBench Hard) - Geometric Shapes
Task: Shape Classification from SVG Path Data
Fine-Tuning Objective: Enhance the model’s ability to recognize and classify geometric shapes based on SVG path descriptions.
📌 Dataset Information
This model was fine-tuned on the Geometric Shapes subset of the BigBench Hard (BBH) dataset.

Dataset characteristics:

Task Type: Shape classification from SVG path representations
Input Format: SVG path data describing a geometric shape
Target Labels: "A" to "K" representing different shapes
Example:

Input:
"This SVG path element <path d='M 55.57,80.69 L 57.38,65.80 ...'/> draws a Options: (A) circle (B) heptagon (C) hexagon (D) kite (E) line (F) octagon (G) pentagon (H) rectangle (I) sector (J) triangle"

Target: "B" (Heptagon)

This dataset evaluates a model’s ability to decode and classify shape data from vector graphics formats, which is crucial for AI-assisted design, graphics processing, and computational geometry.