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🚀 Qwen2.5-3B Fine-Tuned on BBH (Geometric Shapes) - Model Card |
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📌 Model Overview |
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Model Name: Qwen2.5-3B Fine-Tuned on BBH (Geometric Shapes) |
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Base Model: Qwen2.5-3B-Instruct |
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Fine-Tuned Dataset: BBH (BigBench Hard) - Geometric Shapes |
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Task: Shape Classification from SVG Path Data |
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Fine-Tuning Objective: Enhance the model’s ability to recognize and classify geometric shapes based on SVG path descriptions. |
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📌 Dataset Information |
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This model was fine-tuned on the Geometric Shapes subset of the BigBench Hard (BBH) dataset. |
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Dataset characteristics: |
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Task Type: Shape classification from SVG path representations |
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Input Format: SVG path data describing a geometric shape |
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Target Labels: "A" to "K" representing different shapes |
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Example: |
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Input: |
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"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" |
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Target: "B" (Heptagon) |
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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. |
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