2025-05-03 15:24:57 - 训练集正样本数: 1, 负样本数: 1
2025-05-03 15:24:57 - train/dev/test samples: 2, 9099, 18474
2025-05-03 15:24:57 - cross entropy weight: 1.000000
2025-05-03 15:24:57 - Epoch 0, loss: 0.6980, val mf1: 0.5850, val ACC1: 0.3759, val ACC0: 0.8272, val Gmean: 0.5577 (best 0.5850)
2025-05-03 15:24:58 - Epoch 1, loss: 0.6168, val mf1: 0.4608, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5850)
2025-05-03 15:24:58 - Epoch 2, loss: 0.3921, val mf1: 0.5344, val ACC1: 0.2549, val ACC0: 0.8251, val Gmean: 0.4586 (best 0.5850)
2025-05-03 15:24:58 - Epoch 3, loss: 0.0133, val mf1: 0.5019, val ACC1: 0.1460, val ACC0: 0.8578, val Gmean: 0.3539 (best 0.5850)
2025-05-03 15:24:58 - Epoch 4, loss: 0.0002, val mf1: 0.4995, val ACC1: 0.2126, val ACC0: 0.7939, val Gmean: 0.4108 (best 0.5850)
2025-05-03 15:24:59 - Epoch 5, loss: 0.0000, val mf1: 0.4710, val ACC1: 0.3374, val ACC0: 0.6554, val Gmean: 0.4702 (best 0.5850)
2025-05-03 15:24:59 - Epoch 6, loss: 0.0000, val mf1: 0.4522, val ACC1: 0.4062, val ACC0: 0.5844, val Gmean: 0.4872 (best 0.5850)
2025-05-03 15:24:59 - Epoch 7, loss: 0.0000, val mf1: 0.4435, val ACC1: 0.4486, val ACC0: 0.5489, val Gmean: 0.4962 (best 0.5850)
2025-05-03 15:24:59 - Epoch 8, loss: 0.0000, val mf1: 0.4383, val ACC1: 0.4766, val ACC0: 0.5276, val Gmean: 0.5014 (best 0.5850)
2025-05-03 15:24:59 - Epoch 9, loss: 0.0000, val mf1: 0.4371, val ACC1: 0.4932, val ACC0: 0.5185, val Gmean: 0.5057 (best 0.5850)
2025-05-03 15:24:59 - Epoch 10, loss: 0.0000, val mf1: 0.4350, val ACC1: 0.5023, val ACC0: 0.5110, val Gmean: 0.5066 (best 0.5850)
2025-05-03 15:25:00 - Epoch 11, loss: 0.0000, val mf1: 0.4336, val ACC1: 0.5068, val ACC0: 0.5068, val Gmean: 0.5068 (best 0.5850)
2025-05-03 15:25:00 - Epoch 12, loss: 0.0000, val mf1: 0.4316, val ACC1: 0.5091, val ACC0: 0.5025, val Gmean: 0.5058 (best 0.5850)
2025-05-03 15:25:00 - Epoch 13, loss: 0.0000, val mf1: 0.4318, val ACC1: 0.5166, val ACC0: 0.4998, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:25:00 - Epoch 14, loss: 0.0000, val mf1: 0.4314, val ACC1: 0.5197, val ACC0: 0.4980, val Gmean: 0.5087 (best 0.5850)
2025-05-03 15:25:01 - Epoch 15, loss: 0.0000, val mf1: 0.4310, val ACC1: 0.5212, val ACC0: 0.4966, val Gmean: 0.5087 (best 0.5850)
2025-05-03 15:25:01 - Epoch 16, loss: 0.0000, val mf1: 0.4304, val ACC1: 0.5227, val ACC0: 0.4950, val Gmean: 0.5087 (best 0.5850)
2025-05-03 15:25:01 - Epoch 17, loss: 0.0000, val mf1: 0.4300, val ACC1: 0.5242, val ACC0: 0.4938, val Gmean: 0.5088 (best 0.5850)
2025-05-03 15:25:01 - Epoch 18, loss: 0.0000, val mf1: 0.4300, val ACC1: 0.5257, val ACC0: 0.4931, val Gmean: 0.5092 (best 0.5850)
2025-05-03 15:25:01 - Epoch 19, loss: 0.0000, val mf1: 0.4289, val ACC1: 0.5242, val ACC0: 0.4920, val Gmean: 0.5078 (best 0.5850)
2025-05-03 15:25:02 - Epoch 20, loss: 0.0000, val mf1: 0.4291, val ACC1: 0.5250, val ACC0: 0.4920, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:25:02 - Epoch 21, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5257, val ACC0: 0.4912, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:25:02 - Epoch 22, loss: 0.0000, val mf1: 0.4282, val ACC1: 0.5250, val ACC0: 0.4904, val Gmean: 0.5074 (best 0.5850)
2025-05-03 15:25:02 - Epoch 23, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5257, val ACC0: 0.4907, val Gmean: 0.5079 (best 0.5850)
2025-05-03 15:25:02 - Epoch 24, loss: 0.0000, val mf1: 0.4282, val ACC1: 0.5250, val ACC0: 0.4904, val Gmean: 0.5074 (best 0.5850)
2025-05-03 15:25:03 - Epoch 25, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5265, val ACC0: 0.4903, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:25:03 - Epoch 26, loss: 0.0000, val mf1: 0.4284, val ACC1: 0.5250, val ACC0: 0.4908, val Gmean: 0.5076 (best 0.5850)
2025-05-03 15:25:03 - Epoch 27, loss: 0.0000, val mf1: 0.4281, val ACC1: 0.5242, val ACC0: 0.4905, val Gmean: 0.5071 (best 0.5850)
2025-05-03 15:25:03 - Epoch 28, loss: 0.0000, val mf1: 0.4281, val ACC1: 0.5242, val ACC0: 0.4905, val Gmean: 0.5071 (best 0.5850)
2025-05-03 15:25:03 - Epoch 29, loss: 0.0000, val mf1: 0.4280, val ACC1: 0.5242, val ACC0: 0.4904, val Gmean: 0.5070 (best 0.5850)
2025-05-03 15:25:04 - Epoch 30, loss: 0.0000, val mf1: 0.4277, val ACC1: 0.5234, val ACC0: 0.4902, val Gmean: 0.5065 (best 0.5850)
2025-05-03 15:25:04 - Epoch 31, loss: 0.0000, val mf1: 0.4278, val ACC1: 0.5234, val ACC0: 0.4903, val Gmean: 0.5066 (best 0.5850)
2025-05-03 15:25:04 - Epoch 32, loss: 0.0000, val mf1: 0.4280, val ACC1: 0.5234, val ACC0: 0.4907, val Gmean: 0.5068 (best 0.5850)
2025-05-03 15:25:04 - Epoch 33, loss: 0.0000, val mf1: 0.4283, val ACC1: 0.5234, val ACC0: 0.4912, val Gmean: 0.5071 (best 0.5850)
2025-05-03 15:25:04 - Epoch 34, loss: 0.0000, val mf1: 0.4284, val ACC1: 0.5234, val ACC0: 0.4913, val Gmean: 0.5071 (best 0.5850)
2025-05-03 15:25:05 - Epoch 35, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5234, val ACC0: 0.4916, val Gmean: 0.5073 (best 0.5850)
2025-05-03 15:25:05 - Epoch 36, loss: 0.0000, val mf1: 0.4286, val ACC1: 0.5234, val ACC0: 0.4917, val Gmean: 0.5073 (best 0.5850)
2025-05-03 15:25:05 - Epoch 37, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5242, val ACC0: 0.4917, val Gmean: 0.5077 (best 0.5850)
2025-05-03 15:25:05 - Epoch 38, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5242, val ACC0: 0.4916, val Gmean: 0.5076 (best 0.5850)
2025-05-03 15:25:05 - Epoch 39, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5242, val ACC0: 0.4917, val Gmean: 0.5077 (best 0.5850)
2025-05-03 15:25:06 - Epoch 40, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5242, val ACC0: 0.4916, val Gmean: 0.5076 (best 0.5850)
2025-05-03 15:25:06 - Epoch 41, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5234, val ACC0: 0.4914, val Gmean: 0.5072 (best 0.5850)
2025-05-03 15:25:06 - Epoch 42, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5234, val ACC0: 0.4914, val Gmean: 0.5072 (best 0.5850)
2025-05-03 15:25:06 - Epoch 43, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5242, val ACC0: 0.4917, val Gmean: 0.5077 (best 0.5850)
2025-05-03 15:25:06 - Epoch 44, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5242, val ACC0: 0.4916, val Gmean: 0.5076 (best 0.5850)
2025-05-03 15:25:07 - Epoch 45, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5242, val ACC0: 0.4917, val Gmean: 0.5077 (best 0.5850)
2025-05-03 15:25:07 - Epoch 46, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5234, val ACC0: 0.4918, val Gmean: 0.5074 (best 0.5850)
2025-05-03 15:25:07 - Epoch 47, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5234, val ACC0: 0.4918, val Gmean: 0.5074 (best 0.5850)
2025-05-03 15:25:07 - Epoch 48, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5234, val ACC0: 0.4920, val Gmean: 0.5075 (best 0.5850)
2025-05-03 15:25:07 - Epoch 49, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5234, val ACC0: 0.4920, val Gmean: 0.5075 (best 0.5850)
2025-05-03 15:25:08 - Epoch 50, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5234, val ACC0: 0.4921, val Gmean: 0.5075 (best 0.5850)
2025-05-03 15:25:08 - Epoch 51, loss: 0.0000, val mf1: 0.4290, val ACC1: 0.5242, val ACC0: 0.4921, val Gmean: 0.5079 (best 0.5850)
2025-05-03 15:25:08 - Epoch 52, loss: 0.0000, val mf1: 0.4291, val ACC1: 0.5242, val ACC0: 0.4922, val Gmean: 0.5080 (best 0.5850)
2025-05-03 15:25:08 - Epoch 53, loss: 0.0000, val mf1: 0.4291, val ACC1: 0.5242, val ACC0: 0.4922, val Gmean: 0.5080 (best 0.5850)
2025-05-03 15:25:09 - Epoch 54, loss: 0.0000, val mf1: 0.4291, val ACC1: 0.5242, val ACC0: 0.4922, val Gmean: 0.5080 (best 0.5850)
2025-05-03 15:25:09 - Epoch 55, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:25:09 - Epoch 56, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:25:09 - Epoch 57, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:25:09 - Epoch 58, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:25:10 - Epoch 59, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:25:10 - Epoch 60, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:25:10 - Epoch 61, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:25:10 - Epoch 62, loss: 0.0000, val mf1: 0.4293, val ACC1: 0.5242, val ACC0: 0.4926, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:25:10 - Epoch 63, loss: 0.0000, val mf1: 0.4293, val ACC1: 0.5242, val ACC0: 0.4926, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:25:11 - Epoch 64, loss: 0.0000, val mf1: 0.4294, val ACC1: 0.5242, val ACC0: 0.4927, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:25:11 - Epoch 65, loss: 0.0000, val mf1: 0.4294, val ACC1: 0.5242, val ACC0: 0.4927, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:25:11 - Epoch 66, loss: 0.0000, val mf1: 0.4294, val ACC1: 0.5242, val ACC0: 0.4927, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:25:11 - Epoch 67, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:11 - Epoch 68, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:12 - Epoch 69, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:12 - Epoch 70, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:12 - Epoch 71, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:12 - Epoch 72, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:12 - Epoch 73, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:13 - Epoch 74, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:13 - Epoch 75, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:13 - Epoch 76, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:13 - Epoch 77, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:13 - Epoch 78, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:13 - Epoch 79, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:14 - Epoch 80, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:14 - Epoch 81, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:14 - Epoch 82, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:14 - Epoch 83, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:14 - Epoch 84, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:15 - Epoch 85, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:15 - Epoch 86, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:15 - Epoch 87, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:15 - Epoch 88, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:15 - Epoch 89, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:16 - Epoch 90, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:16 - Epoch 91, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:16 - Epoch 92, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:16 - Epoch 93, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:16 - Epoch 94, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:17 - Epoch 95, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:17 - Epoch 96, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:17 - Epoch 97, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:17 - Epoch 98, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:18 - Epoch 99, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:25:18 - time cost: 20.48 s
2025-05-03 15:25:18 - Test: REC 37.56 PRE 26.87 MF1 58.42 AUC 70.58 ACC1 37.56 ACC0 82.62 Gmean 55.70
2025-05-03 15:27:54 - 训练集正样本数: 1, 负样本数: 1
2025-05-03 15:27:54 - train/dev/test samples: 2, 9099, 18474
2025-05-03 15:27:54 - cross entropy weight: 1.000000
2025-05-03 15:27:55 - Epoch 0, loss: 0.6980, val mf1: 0.5850, val ACC1: 0.3759, val ACC0: 0.8272, val Gmean: 0.5577 (best 0.5850)
2025-05-03 15:27:55 - Epoch 1, loss: 0.6168, val mf1: 0.4608, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5850)
2025-05-03 15:27:55 - Epoch 2, loss: 0.3921, val mf1: 0.5344, val ACC1: 0.2549, val ACC0: 0.8251, val Gmean: 0.4586 (best 0.5850)
2025-05-03 15:27:55 - Epoch 3, loss: 0.0133, val mf1: 0.5019, val ACC1: 0.1460, val ACC0: 0.8578, val Gmean: 0.3539 (best 0.5850)
2025-05-03 15:27:55 - Epoch 4, loss: 0.0002, val mf1: 0.4995, val ACC1: 0.2126, val ACC0: 0.7939, val Gmean: 0.4108 (best 0.5850)
2025-05-03 15:27:56 - Epoch 5, loss: 0.0000, val mf1: 0.4710, val ACC1: 0.3374, val ACC0: 0.6554, val Gmean: 0.4702 (best 0.5850)
2025-05-03 15:27:56 - Epoch 6, loss: 0.0000, val mf1: 0.4522, val ACC1: 0.4062, val ACC0: 0.5844, val Gmean: 0.4872 (best 0.5850)
2025-05-03 15:27:56 - Epoch 7, loss: 0.0000, val mf1: 0.4435, val ACC1: 0.4486, val ACC0: 0.5489, val Gmean: 0.4962 (best 0.5850)
2025-05-03 15:27:56 - Epoch 8, loss: 0.0000, val mf1: 0.4383, val ACC1: 0.4766, val ACC0: 0.5276, val Gmean: 0.5014 (best 0.5850)
2025-05-03 15:27:57 - Epoch 9, loss: 0.0000, val mf1: 0.4371, val ACC1: 0.4932, val ACC0: 0.5185, val Gmean: 0.5057 (best 0.5850)
2025-05-03 15:27:57 - Epoch 10, loss: 0.0000, val mf1: 0.4350, val ACC1: 0.5023, val ACC0: 0.5110, val Gmean: 0.5066 (best 0.5850)
2025-05-03 15:27:57 - Epoch 11, loss: 0.0000, val mf1: 0.4336, val ACC1: 0.5068, val ACC0: 0.5068, val Gmean: 0.5068 (best 0.5850)
2025-05-03 15:27:57 - Epoch 12, loss: 0.0000, val mf1: 0.4316, val ACC1: 0.5091, val ACC0: 0.5025, val Gmean: 0.5058 (best 0.5850)
2025-05-03 15:27:57 - Epoch 13, loss: 0.0000, val mf1: 0.4318, val ACC1: 0.5166, val ACC0: 0.4998, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:27:58 - Epoch 14, loss: 0.0000, val mf1: 0.4314, val ACC1: 0.5197, val ACC0: 0.4980, val Gmean: 0.5087 (best 0.5850)
2025-05-03 15:27:58 - Epoch 15, loss: 0.0000, val mf1: 0.4310, val ACC1: 0.5212, val ACC0: 0.4966, val Gmean: 0.5087 (best 0.5850)
2025-05-03 15:27:58 - Epoch 16, loss: 0.0000, val mf1: 0.4304, val ACC1: 0.5227, val ACC0: 0.4950, val Gmean: 0.5087 (best 0.5850)
2025-05-03 15:27:58 - Epoch 17, loss: 0.0000, val mf1: 0.4300, val ACC1: 0.5242, val ACC0: 0.4938, val Gmean: 0.5088 (best 0.5850)
2025-05-03 15:27:59 - Epoch 18, loss: 0.0000, val mf1: 0.4300, val ACC1: 0.5257, val ACC0: 0.4931, val Gmean: 0.5092 (best 0.5850)
2025-05-03 15:27:59 - Epoch 19, loss: 0.0000, val mf1: 0.4289, val ACC1: 0.5242, val ACC0: 0.4920, val Gmean: 0.5078 (best 0.5850)
2025-05-03 15:27:59 - Epoch 20, loss: 0.0000, val mf1: 0.4291, val ACC1: 0.5250, val ACC0: 0.4920, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:27:59 - Epoch 21, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5257, val ACC0: 0.4912, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:28:00 - Epoch 22, loss: 0.0000, val mf1: 0.4282, val ACC1: 0.5250, val ACC0: 0.4904, val Gmean: 0.5074 (best 0.5850)
2025-05-03 15:28:00 - Epoch 23, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5257, val ACC0: 0.4907, val Gmean: 0.5079 (best 0.5850)
2025-05-03 15:28:00 - Epoch 24, loss: 0.0000, val mf1: 0.4282, val ACC1: 0.5250, val ACC0: 0.4904, val Gmean: 0.5074 (best 0.5850)
2025-05-03 15:28:00 - Epoch 25, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5265, val ACC0: 0.4903, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:28:00 - Epoch 26, loss: 0.0000, val mf1: 0.4284, val ACC1: 0.5250, val ACC0: 0.4908, val Gmean: 0.5076 (best 0.5850)
2025-05-03 15:28:01 - Epoch 27, loss: 0.0000, val mf1: 0.4281, val ACC1: 0.5242, val ACC0: 0.4905, val Gmean: 0.5071 (best 0.5850)
2025-05-03 15:28:01 - Epoch 28, loss: 0.0000, val mf1: 0.4281, val ACC1: 0.5242, val ACC0: 0.4905, val Gmean: 0.5071 (best 0.5850)
2025-05-03 15:28:01 - Epoch 29, loss: 0.0000, val mf1: 0.4280, val ACC1: 0.5242, val ACC0: 0.4904, val Gmean: 0.5070 (best 0.5850)
2025-05-03 15:28:01 - Epoch 30, loss: 0.0000, val mf1: 0.4277, val ACC1: 0.5234, val ACC0: 0.4902, val Gmean: 0.5065 (best 0.5850)
2025-05-03 15:28:01 - Epoch 31, loss: 0.0000, val mf1: 0.4278, val ACC1: 0.5234, val ACC0: 0.4903, val Gmean: 0.5066 (best 0.5850)
2025-05-03 15:28:02 - Epoch 32, loss: 0.0000, val mf1: 0.4280, val ACC1: 0.5234, val ACC0: 0.4907, val Gmean: 0.5068 (best 0.5850)
2025-05-03 15:28:02 - Epoch 33, loss: 0.0000, val mf1: 0.4283, val ACC1: 0.5234, val ACC0: 0.4912, val Gmean: 0.5071 (best 0.5850)
2025-05-03 15:28:02 - Epoch 34, loss: 0.0000, val mf1: 0.4284, val ACC1: 0.5234, val ACC0: 0.4913, val Gmean: 0.5071 (best 0.5850)
2025-05-03 15:28:02 - Epoch 35, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5234, val ACC0: 0.4916, val Gmean: 0.5073 (best 0.5850)
2025-05-03 15:28:02 - Epoch 36, loss: 0.0000, val mf1: 0.4286, val ACC1: 0.5234, val ACC0: 0.4917, val Gmean: 0.5073 (best 0.5850)
2025-05-03 15:28:03 - Epoch 37, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5242, val ACC0: 0.4917, val Gmean: 0.5077 (best 0.5850)
2025-05-03 15:28:03 - Epoch 38, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5242, val ACC0: 0.4916, val Gmean: 0.5076 (best 0.5850)
2025-05-03 15:28:03 - Epoch 39, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5242, val ACC0: 0.4917, val Gmean: 0.5077 (best 0.5850)
2025-05-03 15:28:03 - Epoch 40, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5242, val ACC0: 0.4916, val Gmean: 0.5076 (best 0.5850)
2025-05-03 15:28:03 - Epoch 41, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5234, val ACC0: 0.4914, val Gmean: 0.5072 (best 0.5850)
2025-05-03 15:28:04 - Epoch 42, loss: 0.0000, val mf1: 0.4285, val ACC1: 0.5234, val ACC0: 0.4914, val Gmean: 0.5072 (best 0.5850)
2025-05-03 15:28:04 - Epoch 43, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5242, val ACC0: 0.4917, val Gmean: 0.5077 (best 0.5850)
2025-05-03 15:28:04 - Epoch 44, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5242, val ACC0: 0.4916, val Gmean: 0.5076 (best 0.5850)
2025-05-03 15:28:04 - Epoch 45, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5242, val ACC0: 0.4917, val Gmean: 0.5077 (best 0.5850)
2025-05-03 15:28:04 - Epoch 46, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5234, val ACC0: 0.4918, val Gmean: 0.5074 (best 0.5850)
2025-05-03 15:28:05 - Epoch 47, loss: 0.0000, val mf1: 0.4287, val ACC1: 0.5234, val ACC0: 0.4918, val Gmean: 0.5074 (best 0.5850)
2025-05-03 15:28:05 - Epoch 48, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5234, val ACC0: 0.4920, val Gmean: 0.5075 (best 0.5850)
2025-05-03 15:28:05 - Epoch 49, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5234, val ACC0: 0.4920, val Gmean: 0.5075 (best 0.5850)
2025-05-03 15:28:05 - Epoch 50, loss: 0.0000, val mf1: 0.4288, val ACC1: 0.5234, val ACC0: 0.4921, val Gmean: 0.5075 (best 0.5850)
2025-05-03 15:28:05 - Epoch 51, loss: 0.0000, val mf1: 0.4290, val ACC1: 0.5242, val ACC0: 0.4921, val Gmean: 0.5079 (best 0.5850)
2025-05-03 15:28:06 - Epoch 52, loss: 0.0000, val mf1: 0.4291, val ACC1: 0.5242, val ACC0: 0.4922, val Gmean: 0.5080 (best 0.5850)
2025-05-03 15:28:06 - Epoch 53, loss: 0.0000, val mf1: 0.4291, val ACC1: 0.5242, val ACC0: 0.4922, val Gmean: 0.5080 (best 0.5850)
2025-05-03 15:28:06 - Epoch 54, loss: 0.0000, val mf1: 0.4291, val ACC1: 0.5242, val ACC0: 0.4922, val Gmean: 0.5080 (best 0.5850)
2025-05-03 15:28:06 - Epoch 55, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:28:06 - Epoch 56, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:28:07 - Epoch 57, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:28:07 - Epoch 58, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:28:07 - Epoch 59, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:28:07 - Epoch 60, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:28:07 - Epoch 61, loss: 0.0000, val mf1: 0.4292, val ACC1: 0.5242, val ACC0: 0.4925, val Gmean: 0.5081 (best 0.5850)
2025-05-03 15:28:08 - Epoch 62, loss: 0.0000, val mf1: 0.4293, val ACC1: 0.5242, val ACC0: 0.4926, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:28:08 - Epoch 63, loss: 0.0000, val mf1: 0.4293, val ACC1: 0.5242, val ACC0: 0.4926, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:28:08 - Epoch 64, loss: 0.0000, val mf1: 0.4294, val ACC1: 0.5242, val ACC0: 0.4927, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:28:08 - Epoch 65, loss: 0.0000, val mf1: 0.4294, val ACC1: 0.5242, val ACC0: 0.4927, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:28:08 - Epoch 66, loss: 0.0000, val mf1: 0.4294, val ACC1: 0.5242, val ACC0: 0.4927, val Gmean: 0.5082 (best 0.5850)
2025-05-03 15:28:09 - Epoch 67, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:09 - Epoch 68, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:09 - Epoch 69, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:09 - Epoch 70, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:10 - Epoch 71, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:10 - Epoch 72, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:10 - Epoch 73, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:10 - Epoch 74, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:10 - Epoch 75, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:11 - Epoch 76, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:11 - Epoch 77, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:11 - Epoch 78, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:11 - Epoch 79, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:11 - Epoch 80, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:12 - Epoch 81, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:12 - Epoch 82, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:12 - Epoch 83, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:12 - Epoch 84, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:12 - Epoch 85, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:13 - Epoch 86, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:13 - Epoch 87, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:13 - Epoch 88, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:13 - Epoch 89, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:14 - Epoch 90, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:14 - Epoch 91, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:14 - Epoch 92, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:14 - Epoch 93, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:14 - Epoch 94, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:15 - Epoch 95, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:15 - Epoch 96, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:15 - Epoch 97, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:15 - Epoch 98, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:15 - Epoch 99, loss: 0.0000, val mf1: 0.4295, val ACC1: 0.5242, val ACC0: 0.4929, val Gmean: 0.5083 (best 0.5850)
2025-05-03 15:28:15 - time cost: 21.22 s
2025-05-03 15:28:15 - Test: REC 37.56 PRE 26.87 MF1 58.42 AUC 70.58 ACC1 37.56 ACC0 82.62 Gmean 55.70
