加入实验输出（批次 12/14）

deep_learning/Q1/outputs/method_comparison/training_summary.csv

@@ -0,0 +1,31 @@
+method,seed,fold,best_epoch,best_validation_objective,checkpoint
+M3,42,1,50,4.937662982940674,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_01/seed_42/M3.pt
+M4,42,1,4,6.076866149902344,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_01/seed_42/M4.pt
+M3,3407,1,50,4.9825927734375,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_01/seed_3407/M3.pt
+M4,3407,1,4,5.871845149993897,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_01/seed_3407/M4.pt
+M3,2026,1,50,5.102480220794678,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_01/seed_2026/M3.pt
+M4,2026,1,3,6.099013900756836,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_01/seed_2026/M4.pt
+M3,42,2,1,6.125876426696777,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_02/seed_42/M3.pt
+M4,42,2,1,5.942682838439941,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_02/seed_42/M4.pt
+M3,3407,2,50,5.144535160064697,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_02/seed_3407/M3.pt
+M4,3407,2,3,6.067738342285156,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_02/seed_3407/M4.pt
+M3,2026,2,50,5.17415599822998,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_02/seed_2026/M3.pt
+M4,2026,2,1,5.96431074142456,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_02/seed_2026/M4.pt
+M3,42,3,50,4.976429462432861,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_03/seed_42/M3.pt
+M4,42,3,3,6.195817565917968,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_03/seed_42/M4.pt
+M3,3407,3,50,4.659491157531738,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_03/seed_3407/M3.pt
+M4,3407,3,9,5.910655784606933,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_03/seed_3407/M4.pt
+M3,2026,3,50,4.999933815002441,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_03/seed_2026/M3.pt
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+M3,42,4,50,5.152298069000244,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_04/seed_42/M3.pt
+M4,42,4,1,5.998569297790527,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_04/seed_42/M4.pt
+M3,3407,4,50,5.098000621795654,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_04/seed_3407/M3.pt
+M4,3407,4,2,6.03455867767334,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_04/seed_3407/M4.pt
+M3,2026,4,50,5.260256576538086,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_04/seed_2026/M3.pt
+M4,2026,4,2,6.081212425231934,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_04/seed_2026/M4.pt
+M3,42,5,50,5.298740291595459,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_05/seed_42/M3.pt
+M4,42,5,4,6.0218939781188965,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_05/seed_42/M4.pt
+M3,3407,5,50,4.953551292419434,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_05/seed_3407/M3.pt
+M4,3407,5,8,6.058719825744629,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_05/seed_3407/M4.pt
+M3,2026,5,50,5.133688831329346,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_05/seed_2026/M3.pt
+M4,2026,5,1,5.882685661315918,/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison/fold_05/seed_2026/M4.pt