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README.md

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+ Qwen2.5-3B Fine-Tuned on BBH Dataset - Model Card
+📌 Model Overview
+Model Name: Qwen2.5-3B Fine-Tuned on BBH
+Base Model: Qwen2.5-3B-Instruct
+Fine-Tuned Dataset: BBH (BigBench Hard)
+Task: Causal Language Modeling (CLM)
+Fine-Tuning Objective: Improve performance on reasoning and knowledge-based multiple-choice tasks
+
+📌 Dataset Information
+The model was fine-tuned on BigBench Hard (BBH), a dataset designed to evaluate complex reasoning tasks.
+Key subsets used for training:
+
+Causal Judgement 🧠: Evaluating causality understanding
+Date Understanding 📆: Temporal reasoning and date manipulation
+Boolean Expressions ✅❌: Logical reasoning
+Dataset characteristics:
+
+Format: Multiple-choice questions
+Domains: Logic, Mathematics, Commonsense Reasoning
+Label Mapping: Answers converted into numerical classes (e.g., A → 0, B → 1, etc.)