| 🚀 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. | |