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README.md
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The model was evaluated using ROUGE scores (ROUGE-1, ROUGE-2, and ROUGE-L) to measure n-gram overlap between generated text and reference narratives. Qualitative assessments were also conducted.
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### Results
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The model achieved moderate ROUGE scores on test examples (e.g., ROUGE-1 ≈ 0.19, ROUGE-L ≈ 0.09). These scores, along with qualitative feedback, indicate that while the model captures key narrative elements, further refinement may enhance output quality.
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#### Summary
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The model was evaluated using ROUGE scores (ROUGE-1, ROUGE-2, and ROUGE-L) to measure n-gram overlap between generated text and reference narratives. Qualitative assessments were also conducted.
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### Results
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The model achieved moderate ROUGE scores on test examples (e.g., ROUGE-1 ≈ 0.19, ROUGE-L ≈ 0.09). These scores, along with qualitative feedback, indicate that while the model captures key narrative elements, further refinement may enhance output quality.
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#### Summary
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