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+🚀 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.