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๐ Qwen2.5-3B Fine-Tuned on BBH (Hyperbaton) - Model Card |
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๐ Model Overview |
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Model Name: Qwen2.5-3B Fine-Tuned on BBH (Hyperbaton) |
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Base Model: Qwen2.5-3B-Instruct |
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Fine-Tuned Dataset: BBH (BigBench Hard) - Hyperbaton |
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Task: Adjective Ordering Classification |
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Fine-Tuning Objective: Train the model to select the correct English adjective order in a sentence. |
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๐ Dataset Information |
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This model was fine-tuned on the Hyperbaton subset of the BigBench Hard (BBH) dataset. |
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Dataset characteristics: |
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Task Type: Correct adjective order classification |
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Input Format: Two sentence options where one follows the correct adjective order |
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Target Labels: "A" (correct) or "B" (incorrect) |
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Example: |
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Input: |
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"Which sentence has the correct adjective order? Options: (A) midsize old grey Brazilian sweater (B) midsize grey Brazilian old sweater" |
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Target: "A" |
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This dataset evaluates a modelโs ability to understand syntactic correctness in English adjective order, which is useful for natural language generation, grammar checking, and language learning applications. |