2025-05-03 15:23:33 - 训练集正样本数: 1, 负样本数: 1
2025-05-03 15:23:33 - train/dev/test samples: 2, 9099, 18474
2025-05-03 15:23:33 - cross entropy weight: 1.000000
2025-05-03 15:23:33 - Epoch 0, loss: 0.6854, val mf1: 0.4608, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4608)
2025-05-03 15:23:34 - Epoch 1, loss: 0.3926, val mf1: 0.4608, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4608)
2025-05-03 15:23:34 - Epoch 2, loss: 0.0044, val mf1: 0.3155, val ACC1: 0.1793, val ACC0: 0.4338, val Gmean: 0.2789 (best 0.4608)
2025-05-03 15:23:34 - Epoch 3, loss: 0.0000, val mf1: 0.3133, val ACC1: 0.1808, val ACC0: 0.4288, val Gmean: 0.2784 (best 0.4608)
2025-05-03 15:23:34 - Epoch 4, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:23:34 - Epoch 5, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:23:35 - Epoch 6, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:23:35 - Epoch 7, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:23:35 - Epoch 8, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:23:35 - Epoch 9, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:36 - Epoch 10, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:36 - Epoch 11, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:36 - Epoch 12, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:36 - Epoch 13, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:37 - Epoch 14, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:37 - Epoch 15, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:37 - Epoch 16, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:37 - Epoch 17, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:37 - Epoch 18, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:38 - Epoch 19, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:38 - Epoch 20, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:38 - Epoch 21, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:23:38 - Epoch 22, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:38 - Epoch 23, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:39 - Epoch 24, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:39 - Epoch 25, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:39 - Epoch 26, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:39 - Epoch 27, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:40 - Epoch 28, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:40 - Epoch 29, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:40 - Epoch 30, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:40 - Epoch 31, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:40 - Epoch 32, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:41 - Epoch 33, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:41 - Epoch 34, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:41 - Epoch 35, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:41 - Epoch 36, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:42 - Epoch 37, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:42 - Epoch 38, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:42 - Epoch 39, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:42 - Epoch 40, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:42 - Epoch 41, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:43 - Epoch 42, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:43 - Epoch 43, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:43 - Epoch 44, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:43 - Epoch 45, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:43 - Epoch 46, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:44 - Epoch 47, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:44 - Epoch 48, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:44 - Epoch 49, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:44 - Epoch 50, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:44 - Epoch 51, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:45 - Epoch 52, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:45 - Epoch 53, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:45 - Epoch 54, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:45 - Epoch 55, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:46 - Epoch 56, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:46 - Epoch 57, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:46 - Epoch 58, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:46 - Epoch 59, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:46 - Epoch 60, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:47 - Epoch 61, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:47 - Epoch 62, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:47 - Epoch 63, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:47 - Epoch 64, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:47 - Epoch 65, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:48 - Epoch 66, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:48 - Epoch 67, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:48 - Epoch 68, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:48 - Epoch 69, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:48 - Epoch 70, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:49 - Epoch 71, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:49 - Epoch 72, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:49 - Epoch 73, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:49 - Epoch 74, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:49 - Epoch 75, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:50 - Epoch 76, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:50 - Epoch 77, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:50 - Epoch 78, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:50 - Epoch 79, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:50 - Epoch 80, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:51 - Epoch 81, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:51 - Epoch 82, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:51 - Epoch 83, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:51 - Epoch 84, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:52 - Epoch 85, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:52 - Epoch 86, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:52 - Epoch 87, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:52 - Epoch 88, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:52 - Epoch 89, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:53 - Epoch 90, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:53 - Epoch 91, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:53 - Epoch 92, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:53 - Epoch 93, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:53 - Epoch 94, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:54 - Epoch 95, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:54 - Epoch 96, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:54 - Epoch 97, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:54 - Epoch 98, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:55 - Epoch 99, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:23:55 - time cost: 21.65 s
2025-05-03 15:23:55 - Test: REC 0.00 PRE 0.00 MF1 46.08 AUC 39.27 ACC1 0.00 ACC0 100.00 Gmean 0.00
2025-05-03 15:25:51 - 训练集正样本数: 1, 负样本数: 1
2025-05-03 15:25:51 - train/dev/test samples: 2, 9099, 18474
2025-05-03 15:25:51 - cross entropy weight: 1.000000
2025-05-03 15:25:51 - Epoch 0, loss: 0.6854, val mf1: 0.4608, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4608)
2025-05-03 15:25:52 - Epoch 1, loss: 0.3926, val mf1: 0.4608, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4608)
2025-05-03 15:25:52 - Epoch 2, loss: 0.0044, val mf1: 0.3155, val ACC1: 0.1793, val ACC0: 0.4338, val Gmean: 0.2789 (best 0.4608)
2025-05-03 15:25:52 - Epoch 3, loss: 0.0000, val mf1: 0.3133, val ACC1: 0.1808, val ACC0: 0.4288, val Gmean: 0.2784 (best 0.4608)
2025-05-03 15:25:52 - Epoch 4, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:25:53 - Epoch 5, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:25:53 - Epoch 6, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:25:53 - Epoch 7, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:25:53 - Epoch 8, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:25:53 - Epoch 9, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:54 - Epoch 10, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:54 - Epoch 11, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:54 - Epoch 12, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:54 - Epoch 13, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:54 - Epoch 14, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:55 - Epoch 15, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:55 - Epoch 16, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:55 - Epoch 17, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:55 - Epoch 18, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:56 - Epoch 19, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:56 - Epoch 20, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:56 - Epoch 21, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:25:56 - Epoch 22, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:56 - Epoch 23, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:57 - Epoch 24, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:57 - Epoch 25, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:57 - Epoch 26, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:57 - Epoch 27, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:57 - Epoch 28, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:58 - Epoch 29, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:58 - Epoch 30, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:58 - Epoch 31, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:58 - Epoch 32, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:58 - Epoch 33, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:59 - Epoch 34, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:59 - Epoch 35, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:59 - Epoch 36, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:59 - Epoch 37, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:25:59 - Epoch 38, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:00 - Epoch 39, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:00 - Epoch 40, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:00 - Epoch 41, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:00 - Epoch 42, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:00 - Epoch 43, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:01 - Epoch 44, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:01 - Epoch 45, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:01 - Epoch 46, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:01 - Epoch 47, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:01 - Epoch 48, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:02 - Epoch 49, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:02 - Epoch 50, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:02 - Epoch 51, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:02 - Epoch 52, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:03 - Epoch 53, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:03 - Epoch 54, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:03 - Epoch 55, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:03 - Epoch 56, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:03 - Epoch 57, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:04 - Epoch 58, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:04 - Epoch 59, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:04 - Epoch 60, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:04 - Epoch 61, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:04 - Epoch 62, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:05 - Epoch 63, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:05 - Epoch 64, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:05 - Epoch 65, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:05 - Epoch 66, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:05 - Epoch 67, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:06 - Epoch 68, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:06 - Epoch 69, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:06 - Epoch 70, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:06 - Epoch 71, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:06 - Epoch 72, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:07 - Epoch 73, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:07 - Epoch 74, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:07 - Epoch 75, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:07 - Epoch 76, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:07 - Epoch 77, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:08 - Epoch 78, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:08 - Epoch 79, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:08 - Epoch 80, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:08 - Epoch 81, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:09 - Epoch 82, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:09 - Epoch 83, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:09 - Epoch 84, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:09 - Epoch 85, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:09 - Epoch 86, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:10 - Epoch 87, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:10 - Epoch 88, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:10 - Epoch 89, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:10 - Epoch 90, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:10 - Epoch 91, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:11 - Epoch 92, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:11 - Epoch 93, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:11 - Epoch 94, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:11 - Epoch 95, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:11 - Epoch 96, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:12 - Epoch 97, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:12 - Epoch 98, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:12 - Epoch 99, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:26:12 - time cost: 21.17 s
2025-05-03 15:26:12 - Test: REC 0.00 PRE 0.00 MF1 46.08 AUC 39.27 ACC1 0.00 ACC0 100.00 Gmean 0.00
2025-05-03 15:27:27 - 训练集正样本数: 1, 负样本数: 1
2025-05-03 15:27:27 - train/dev/test samples: 2, 9099, 18474
2025-05-03 15:27:27 - cross entropy weight: 1.000000
2025-05-03 15:27:27 - Epoch 0, loss: 0.6854, val mf1: 0.4608, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4608)
2025-05-03 15:27:28 - Epoch 1, loss: 0.3926, val mf1: 0.4608, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4608)
2025-05-03 15:27:28 - Epoch 2, loss: 0.0044, val mf1: 0.3155, val ACC1: 0.1793, val ACC0: 0.4338, val Gmean: 0.2789 (best 0.4608)
2025-05-03 15:27:28 - Epoch 3, loss: 0.0000, val mf1: 0.3133, val ACC1: 0.1808, val ACC0: 0.4288, val Gmean: 0.2784 (best 0.4608)
2025-05-03 15:27:28 - Epoch 4, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:27:29 - Epoch 5, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:27:29 - Epoch 6, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:27:29 - Epoch 7, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:27:29 - Epoch 8, loss: 0.0000, val mf1: 0.3134, val ACC1: 0.1808, val ACC0: 0.4290, val Gmean: 0.2785 (best 0.4608)
2025-05-03 15:27:29 - Epoch 9, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:30 - Epoch 10, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:30 - Epoch 11, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:30 - Epoch 12, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:30 - Epoch 13, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:30 - Epoch 14, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4290, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:31 - Epoch 15, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:31 - Epoch 16, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:31 - Epoch 17, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:31 - Epoch 18, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:32 - Epoch 19, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:32 - Epoch 20, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:32 - Epoch 21, loss: 0.0000, val mf1: 0.3132, val ACC1: 0.1800, val ACC0: 0.4291, val Gmean: 0.2779 (best 0.4608)
2025-05-03 15:27:32 - Epoch 22, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:32 - Epoch 23, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:32 - Epoch 24, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:33 - Epoch 25, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:33 - Epoch 26, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:33 - Epoch 27, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:33 - Epoch 28, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:33 - Epoch 29, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:34 - Epoch 30, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:34 - Epoch 31, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:34 - Epoch 32, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:34 - Epoch 33, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:34 - Epoch 34, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:35 - Epoch 35, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:35 - Epoch 36, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:35 - Epoch 37, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:35 - Epoch 38, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:35 - Epoch 39, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:36 - Epoch 40, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:36 - Epoch 41, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:36 - Epoch 42, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:36 - Epoch 43, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:37 - Epoch 44, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:37 - Epoch 45, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:37 - Epoch 46, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:37 - Epoch 47, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:37 - Epoch 48, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:38 - Epoch 49, loss: 0.0000, val mf1: 0.3131, val ACC1: 0.1793, val ACC0: 0.4291, val Gmean: 0.2774 (best 0.4608)
2025-05-03 15:27:38 - time cost: 10.45 s
2025-05-03 15:27:38 - Test: REC 0.00 PRE 0.00 MF1 46.08 AUC 39.27 ACC1 0.00 ACC0 100.00 Gmean 0.00
