🚀 Qwen2.5-3B Fine-Tuned on BBH (Disambiguation QA) - Model Card
📌 Model Overview
Model Name: Qwen2.5-3B Fine-Tuned on BBH (Disambiguation QA)
Base Model: Qwen2.5-3B-Instruct
Fine-Tuned Dataset: BBH (BigBench Hard) - Disambiguation QA
Task: Causal Language Modeling (CLM)
Fine-Tuning Objective: Improve performance on pronoun disambiguation and antecedent reasoning tasks
📌 Dataset Information
This model was fine-tuned on the Disambiguation QA subset of the BigBench Hard (BBH) dataset.

Dataset characteristics:

Task Type: Pronoun resolution & antecedent disambiguation
Input Format: Multiple-choice questions (MCQ) with ambiguous pronouns
Target Labels: (A), (B), (C), or Ambiguous
Example:

Input: "In the following sentences, explain the antecedent of the pronoun (which thing the pronoun refers to), or state that it is ambiguous.
Sentence: The patient was referred to the specialist because he had a rare skin condition.
Options:
(A) The patient had a skin condition
(B) The specialist had a skin condition
(C) Ambiguous"

Target: (A)

This dataset evaluates a model's ability to correctly resolve pronouns in ambiguous sentences, which is crucial for natural language understanding (NLU), legal/medical document processing, and AI explainability.