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README.md
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🚀 Qwen2.5-3B Fine-Tuned on BBH (Disambiguation QA) - Model Card
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📌 Model Overview
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Model Name: Qwen2.5-3B Fine-Tuned on BBH (Disambiguation QA)
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Base Model: Qwen2.5-3B-Instruct
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Fine-Tuned Dataset: BBH (BigBench Hard) - Disambiguation QA
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Task: Causal Language Modeling (CLM)
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Fine-Tuning Objective: Improve performance on pronoun disambiguation and antecedent reasoning tasks
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📌 Dataset Information
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This model was fine-tuned on the Disambiguation QA subset of the BigBench Hard (BBH) dataset.
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Dataset characteristics:
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Task Type: Pronoun resolution & antecedent disambiguation
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Input Format: Multiple-choice questions (MCQ) with ambiguous pronouns
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Target Labels: (A), (B), (C), or Ambiguous
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Example:
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Input: "In the following sentences, explain the antecedent of the pronoun (which thing the pronoun refers to), or state that it is ambiguous.
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Sentence: The patient was referred to the specialist because he had a rare skin condition.
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Options:
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(A) The patient had a skin condition
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(B) The specialist had a skin condition
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(C) Ambiguous"
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Target: (A)
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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.
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