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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.) |