aiknowyou/all-mpnet-base-questions-clustering-en
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初始化项目，由ModelHub XC社区提供模型

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Model: aiknowyou/all-mpnet-base-questions-clustering-en
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2026-07-30 06:29:19 +08:00
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binary_classification_evaluation_results.csv Normal file
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epoch,steps,cossim_accuracy,cossim_accuracy_threshold,cossim_f1,cossim_precision,cossim_recall,cossim_f1_threshold,cossim_ap,manhattan_accuracy,manhattan_accuracy_threshold,manhattan_f1,manhattan_precision,manhattan_recall,manhattan_f1_threshold,manhattan_ap,euclidean_accuracy,euclidean_accuracy_threshold,euclidean_f1,euclidean_precision,euclidean_recall,euclidean_f1_threshold,euclidean_ap,dot_accuracy,dot_accuracy_threshold,dot_f1,dot_precision,dot_recall,dot_f1_threshold,dot_ap
0,0,0.9893422889619312,0.3684113025665283,0.9839550952295576,0.9870342598792521,0.9808950824360144,0.3684113025665283,0.9981098929310646,0.9887431706003276,24.35479736328125,0.9830630888912166,0.9855571523325226,0.9805816166037902,24.358116149902344,0.9979432632969408,0.9893422889619312,1.123911738395691,0.9839550952295576,0.9870342598792521,0.9808950824360144,1.123911738395691,0.9981070245867787,0.9893422889619312,0.36841127276420593,0.9839550952295576,0.9870342598792521,0.9808950824360144,0.36841127276420593,0.9981101239841529
1 epoch steps cossim_accuracy cossim_accuracy_threshold cossim_f1 cossim_precision cossim_recall cossim_f1_threshold cossim_ap manhattan_accuracy manhattan_accuracy_threshold manhattan_f1 manhattan_precision manhattan_recall manhattan_f1_threshold manhattan_ap euclidean_accuracy euclidean_accuracy_threshold euclidean_f1 euclidean_precision euclidean_recall euclidean_f1_threshold euclidean_ap dot_accuracy dot_accuracy_threshold dot_f1 dot_precision dot_recall dot_f1_threshold dot_ap
2 0 0 0.9893422889619312 0.3684113025665283 0.9839550952295576 0.9870342598792521 0.9808950824360144 0.3684113025665283 0.9981098929310646 0.9887431706003276 24.35479736328125 0.9830630888912166 0.9855571523325226 0.9805816166037902 24.358116149902344 0.9979432632969408 0.9893422889619312 1.123911738395691 0.9839550952295576 0.9870342598792521 0.9808950824360144 1.123911738395691 0.9981070245867787 0.9893422889619312 0.36841127276420593 0.9839550952295576 0.9870342598792521 0.9808950824360144 0.36841127276420593 0.9981101239841529