bbhqwen5

🚀 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.