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.)