🚀 Qwen2.5-3B Fine-Tuned on BBH (Hyperbaton) - Model Card 📌 Model Overview Model Name: Qwen2.5-3B Fine-Tuned on BBH (Hyperbaton) Base Model: Qwen2.5-3B-Instruct Fine-Tuned Dataset: BBH (BigBench Hard) - Hyperbaton Task: Adjective Ordering Classification Fine-Tuning Objective: Train the model to select the correct English adjective order in a sentence. 📌 Dataset Information This model was fine-tuned on the Hyperbaton subset of the BigBench Hard (BBH) dataset.
Dataset characteristics:
Task Type: Correct adjective order classification Input Format: Two sentence options where one follows the correct adjective order Target Labels: "A" (correct) or "B" (incorrect) Example:
Input: "Which sentence has the correct adjective order? Options: (A) midsize old grey Brazilian sweater (B) midsize grey Brazilian old sweater"
Target: "A"
This dataset evaluates a model’s ability to understand syntactic correctness in English adjective order, which is useful for natural language generation, grammar checking, and language learning applications.
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