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@@ -20,9 +20,9 @@ This model card includes proper attribution to the original authors of the base
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  Model Details
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  • Base model: jhgan/ko-sroberta-multitask
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  • Architecture: RoBERTa (Korean SRoBERTa variant)
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- • Task: Sentiment classification (Positive / Neutral / Negative)
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  • Language: Korean
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- • Domain: Corporate & financial news
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  • Fine-tuning: Conducted on a curated dataset of company-related news headlines and lead sentences derived from the methodology of the 2022 study.
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  Model Details
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  • Base model: jhgan/ko-sroberta-multitask
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  • Architecture: RoBERTa (Korean SRoBERTa variant)
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+ • Task: Relevance classification (1/0)
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  • Language: Korean
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+ • Domain: Corporate & financial news (Korean)
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  • Fine-tuning: Conducted on a curated dataset of company-related news headlines and lead sentences derived from the methodology of the 2022 study.
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