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Prompt engineering model contest #26

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@ycrouin ycrouin commented Feb 13, 2025

Tried several simple prompts to classify disinfo/not disinfo without fine-tuning.

Model Full Precision Full Recall Full F1 Full Accuracy Test Precision Test Recall Test F1 Test Accuracy
predict_simple 0.59 0.97 0.73 0.64 0.61 0.95 0.74 0.65
predict_cot 0.75 0.59 0.66 0.68 0.85 0.56 0.68 0.71
predict_subcategory_v1 0.75 0.67 0.71 0.72 0.90 0.63 0.74 0.77
predict_subcategory_v2 0.78 0.65 0.71 0.73 0.82 0.78 0.80 0.79
predict_subcategory_v3 0.74 0.73 0.73 0.73 0.76 0.68 0.72 0.71
predict_deontology 0.76 0.71 0.73 0.74 0.68 0.68 0.68 0.66
predict_cards_v1 0.72 0.75 0.73 0.73 0.61 0.93 0.74 0.65
predict_cards_v2 0.57 0.91 0.70 0.62 0.65 0.95 0.77 0.70

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