2025-05-14 20:56:05 - 训练集正样本数: 1, 负样本数: 1
2025-05-14 20:56:05 - train/dev/test samples: 2, 15420, 31309
2025-05-14 20:56:05 - cross entropy weight: 1.000000
2025-05-14 21:11:21 - 训练集正样本数: 1, 负样本数: 1
2025-05-14 21:11:21 - train/dev/test samples: 2, 15420, 31309
2025-05-14 21:11:21 - cross entropy weight: 1.000000
2025-05-14 21:11:45 - train/dev/test samples: 31152, 15420, 31309
2025-05-14 21:11:45 - cross entropy weight: -0.234444
2025-05-14 21:12:02 - train/dev/test samples: 31152, 15420, 31309
2025-05-14 21:12:03 - cross entropy weight: -0.234444
2025-05-14 21:12:43 - train/dev/test samples: 11857, 15420, 31309
2025-05-14 21:12:43 - cross entropy weight: 4.640818
2025-05-14 21:13:07 - train/dev/test samples: 11857, 15420, 31309
2025-05-14 21:13:08 - cross entropy weight: 4.640818
2025-05-14 21:17:32 - 过滤标签为2的样本后，剩余样本数量: 29643
2025-05-14 21:17:32 - 训练集正样本数: 2102, 负样本数: 9755
2025-05-14 21:17:32 - train/dev/test samples: 11857, 5869, 11917
2025-05-14 21:17:32 - cross entropy weight: 4.640818
2025-05-14 21:19:46 - 过滤标签为2的样本后，剩余样本数量: 29643
2025-05-14 21:19:46 - 训练集正样本数: 2102, 负样本数: 9755
2025-05-14 21:19:46 - train/dev/test samples: 11857, 5869, 11917
2025-05-14 21:19:46 - cross entropy weight: 4.640818
2025-05-14 21:23:04 - 过滤标签为2的样本后，剩余样本数量: 29643
2025-05-14 21:23:04 - 训练集正样本数: 2102, 负样本数: 9755
2025-05-14 21:23:04 - train/dev/test samples: 11857, 5869, 11917
2025-05-14 21:23:04 - cross entropy weight: 4.640818
2025-05-14 21:23:22 - 过滤标签为2的样本后，剩余样本数量: 29643
2025-05-14 21:23:22 - 训练集正样本数: 2102, 负样本数: 9755
2025-05-14 21:23:22 - train/dev/test samples: 11857, 5869, 11917
2025-05-14 21:23:23 - cross entropy weight: 4.640818
2025-05-14 21:23:23 - Epoch 0, loss: 2665.6523, val mf1: 0.4566, val ACC1: 0.0067, val ACC0: 0.9938, val Gmean: 0.0817 (best 0.4566)
2025-05-14 21:23:23 - Test: REC 0.0038 PRE 0.1311 MF1 0.4539 AUC 0.4993 ACC1 0.0038 ACC0 0.9946 Gmean 0.0614
2025-05-14 21:23:23 - Epoch 1, loss: 225215.1406, val mf1: 0.1507, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:23 - Epoch 2, loss: 44313.0469, val mf1: 0.1507, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:24 - Epoch 3, loss: 2115.9592, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:24 - Epoch 4, loss: 2315.5671, val mf1: 0.4511, val ACC1: 0.0000, val ACC0: 0.9992, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:24 - Epoch 5, loss: 10240.1875, val mf1: 0.1507, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:24 - Epoch 6, loss: 3077.1152, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:24 - Epoch 7, loss: 4691.2256, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:24 - Epoch 8, loss: 4547.3994, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:24 - Epoch 9, loss: 3246.0615, val mf1: 0.4522, val ACC1: 0.0010, val ACC0: 0.9994, val Gmean: 0.0310 (best 0.4566)
2025-05-14 21:23:24 - Epoch 10, loss: 1146.8116, val mf1: 0.4596, val ACC1: 0.0134, val ACC0: 0.9816, val Gmean: 0.1149 (best 0.4596)
2025-05-14 21:23:24 - Test: REC 0.0066 PRE 0.0843 MF1 0.4539 AUC 0.4935 ACC1 0.0066 ACC0 0.9845 Gmean 0.0808
2025-05-14 21:23:24 - Epoch 11, loss: 6089.2261, val mf1: 0.1513, val ACC1: 1.0000, val ACC0: 0.0006, val Gmean: 0.0249 (best 0.4596)
2025-05-14 21:23:24 - Epoch 12, loss: 454.6826, val mf1: 0.4884, val ACC1: 0.1787, val ACC0: 0.7978, val Gmean: 0.3776 (best 0.4884)
2025-05-14 21:23:25 - Epoch 13, loss: 1285.7887, val mf1: 0.4585, val ACC1: 0.0106, val ACC0: 0.9874, val Gmean: 0.1021 (best 0.4884)
2025-05-14 21:23:25 - Epoch 14, loss: 1591.0352, val mf1: 0.4561, val ACC1: 0.0058, val ACC0: 0.9954, val Gmean: 0.0757 (best 0.4884)
2025-05-14 21:23:25 - Epoch 15, loss: 1544.4277, val mf1: 0.4534, val ACC1: 0.0029, val ACC0: 0.9965, val Gmean: 0.0536 (best 0.4884)
2025-05-14 21:23:25 - Epoch 16, loss: 1199.1249, val mf1: 0.4550, val ACC1: 0.0048, val ACC0: 0.9950, val Gmean: 0.0691 (best 0.4884)
2025-05-14 21:23:25 - Epoch 17, loss: 652.7833, val mf1: 0.4597, val ACC1: 0.0125, val ACC0: 0.9851, val Gmean: 0.1109 (best 0.4884)
2025-05-14 21:23:25 - Epoch 18, loss: 236.6579, val mf1: 0.5315, val ACC1: 0.6398, val ACC0: 0.5853, val Gmean: 0.6119 (best 0.5315)
2025-05-14 21:23:25 - Epoch 19, loss: 973.6611, val mf1: 0.1763, val ACC1: 0.9683, val ACC0: 0.0278, val Gmean: 0.1639 (best 0.5315)
2025-05-14 21:23:25 - Epoch 20, loss: 309.8300, val mf1: 0.4606, val ACC1: 0.0134, val ACC0: 0.9851, val Gmean: 0.1151 (best 0.5315)
2025-05-14 21:23:25 - Test: REC 0.0062 PRE 0.0828 MF1 0.4537 AUC 0.4918 ACC1 0.0062 ACC0 0.9853 Gmean 0.0779
2025-05-14 21:23:25 - Epoch 21, loss: 632.2094, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:26 - Epoch 22, loss: 736.2428, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:26 - Epoch 23, loss: 680.0858, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:26 - Epoch 24, loss: 512.8301, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:26 - Epoch 25, loss: 272.5910, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:26 - Epoch 26, loss: 44.7649, val mf1: 0.6469, val ACC1: 0.4649, val ACC0: 0.8490, val Gmean: 0.6283 (best 0.6469)
2025-05-14 21:23:26 - Epoch 27, loss: 699.9519, val mf1: 0.1532, val ACC1: 0.9971, val ACC0: 0.0027, val Gmean: 0.0518 (best 0.6469)
2025-05-14 21:23:26 - Epoch 28, loss: 206.5584, val mf1: 0.2516, val ACC1: 0.9049, val ACC0: 0.1147, val Gmean: 0.3222 (best 0.6469)
2025-05-14 21:23:26 - Epoch 29, loss: 220.5237, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:26 - Epoch 30, loss: 420.3922, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:26 - Test: REC 0.0000 PRE 0.0000 MF1 0.4514 AUC 0.4986 ACC1 0.0000 ACC0 1.0000 Gmean 0.0000
2025-05-14 21:23:26 - Epoch 31, loss: 527.0259, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:27 - Epoch 32, loss: 559.0527, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:27 - Epoch 33, loss: 532.7135, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:27 - Epoch 34, loss: 462.9634, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:27 - Epoch 35, loss: 362.0040, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:27 - Epoch 36, loss: 238.8875, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:27 - Epoch 37, loss: 159.9726, val mf1: 0.5540, val ACC1: 0.3122, val ACC0: 0.8068, val Gmean: 0.5019 (best 0.6469)
2025-05-14 21:23:27 - Epoch 38, loss: 70.2627, val mf1: 0.5875, val ACC1: 0.2411, val ACC0: 0.9149, val Gmean: 0.4697 (best 0.6469)
2025-05-14 21:23:27 - Epoch 39, loss: 80.5042, val mf1: 0.6533, val ACC1: 0.4371, val ACC0: 0.8728, val Gmean: 0.6177 (best 0.6533)
2025-05-14 21:23:27 - Epoch 40, loss: 78.1439, val mf1: 0.6330, val ACC1: 0.4476, val ACC0: 0.8397, val Gmean: 0.6131 (best 0.6533)
2025-05-14 21:23:27 - Test: REC 0.4619 PRE 0.3787 MF1 0.6366 AUC 0.6513 ACC1 0.4619 ACC0 0.8367 Gmean 0.6217
2025-05-14 21:23:27 - Epoch 41, loss: 51.1287, val mf1: 0.5383, val ACC1: 0.2382, val ACC0: 0.8380, val Gmean: 0.4468 (best 0.6533)
2025-05-14 21:23:28 - Epoch 42, loss: 43.3657, val mf1: 0.4685, val ACC1: 0.1057, val ACC0: 0.8355, val Gmean: 0.2971 (best 0.6533)
2025-05-14 21:23:28 - Epoch 43, loss: 36.8767, val mf1: 0.3783, val ACC1: 0.3045, val ACC0: 0.4834, val Gmean: 0.3837 (best 0.6533)
2025-05-14 21:23:28 - Epoch 44, loss: 25.8440, val mf1: 0.4922, val ACC1: 0.4851, val ACC0: 0.5936, val Gmean: 0.5366 (best 0.6533)
2025-05-14 21:23:28 - Epoch 45, loss: 52.2632, val mf1: 0.5903, val ACC1: 0.5427, val ACC0: 0.7251, val Gmean: 0.6274 (best 0.6533)
2025-05-14 21:23:28 - Epoch 46, loss: 46.5805, val mf1: 0.6528, val ACC1: 0.4448, val ACC0: 0.8679, val Gmean: 0.6213 (best 0.6533)
2025-05-14 21:23:28 - Epoch 47, loss: 36.5289, val mf1: 0.6763, val ACC1: 0.3593, val ACC0: 0.9451, val Gmean: 0.5827 (best 0.6763)
2025-05-14 21:23:28 - Epoch 48, loss: 30.0288, val mf1: 0.4725, val ACC1: 0.0279, val ACC0: 0.9803, val Gmean: 0.1653 (best 0.6763)
2025-05-14 21:23:28 - Epoch 49, loss: 29.6154, val mf1: 0.6240, val ACC1: 0.2430, val ACC0: 0.9621, val Gmean: 0.4836 (best 0.6763)
2025-05-14 21:23:28 - Epoch 50, loss: 23.8803, val mf1: 0.6011, val ACC1: 0.2219, val ACC0: 0.9499, val Gmean: 0.4591 (best 0.6763)
2025-05-14 21:23:28 - Test: REC 0.2347 PRE 0.5362 MF1 0.6141 AUC 0.5717 ACC1 0.2347 ACC0 0.9562 Gmean 0.4738
2025-05-14 21:23:29 - Epoch 51, loss: 18.2626, val mf1: 0.5390, val ACC1: 0.3477, val ACC0: 0.7562, val Gmean: 0.5128 (best 0.6763)
2025-05-14 21:23:29 - Epoch 52, loss: 13.5840, val mf1: 0.5121, val ACC1: 0.1816, val ACC0: 0.8422, val Gmean: 0.3910 (best 0.6763)
2025-05-14 21:23:29 - Epoch 53, loss: 10.0567, val mf1: 0.5258, val ACC1: 0.1835, val ACC0: 0.8662, val Gmean: 0.3987 (best 0.6763)
2025-05-14 21:23:29 - Epoch 54, loss: 5.9782, val mf1: 0.5368, val ACC1: 0.1969, val ACC0: 0.8728, val Gmean: 0.4146 (best 0.6763)
2025-05-14 21:23:29 - Epoch 55, loss: 2.9447, val mf1: 0.6328, val ACC1: 0.4121, val ACC0: 0.8600, val Gmean: 0.5953 (best 0.6763)
2025-05-14 21:23:29 - Epoch 56, loss: 3.0578, val mf1: 0.6179, val ACC1: 0.4159, val ACC0: 0.8370, val Gmean: 0.5900 (best 0.6763)
2025-05-14 21:23:29 - Epoch 57, loss: 4.1739, val mf1: 0.5883, val ACC1: 0.4486, val ACC0: 0.7736, val Gmean: 0.5891 (best 0.6763)
2025-05-14 21:23:29 - Epoch 58, loss: 3.6257, val mf1: 0.6276, val ACC1: 0.3622, val ACC0: 0.8836, val Gmean: 0.5657 (best 0.6763)
2025-05-14 21:23:29 - Epoch 59, loss: 3.5984, val mf1: 0.6395, val ACC1: 0.3247, val ACC0: 0.9234, val Gmean: 0.5475 (best 0.6763)
2025-05-14 21:23:29 - Epoch 60, loss: 3.7296, val mf1: 0.4875, val ACC1: 0.0980, val ACC0: 0.8892, val Gmean: 0.2952 (best 0.6763)
2025-05-14 21:23:29 - Test: REC 0.1278 PRE 0.2013 MF1 0.5067 AUC 0.5838 ACC1 0.1278 ACC0 0.8908 Gmean 0.3374
2025-05-14 21:23:30 - Epoch 61, loss: 3.2231, val mf1: 0.5061, val ACC1: 0.1691, val ACC0: 0.8432, val Gmean: 0.3776 (best 0.6763)
2025-05-14 21:23:30 - Epoch 62, loss: 2.5063, val mf1: 0.5719, val ACC1: 0.2594, val ACC0: 0.8763, val Gmean: 0.4768 (best 0.6763)
2025-05-14 21:23:30 - Epoch 63, loss: 1.9684, val mf1: 0.5743, val ACC1: 0.4352, val ACC0: 0.7595, val Gmean: 0.5749 (best 0.6763)
2025-05-14 21:23:30 - Epoch 64, loss: 1.5847, val mf1: 0.4759, val ACC1: 0.6110, val ACC0: 0.5077, val Gmean: 0.5569 (best 0.6763)
2025-05-14 21:23:30 - Epoch 65, loss: 1.2739, val mf1: 0.4648, val ACC1: 0.0279, val ACC0: 0.9582, val Gmean: 0.1634 (best 0.6763)
2025-05-14 21:23:30 - Epoch 66, loss: 1.0685, val mf1: 0.4641, val ACC1: 0.0240, val ACC0: 0.9658, val Gmean: 0.1523 (best 0.6763)
2025-05-14 21:23:30 - Epoch 67, loss: 0.9570, val mf1: 0.4675, val ACC1: 0.0250, val ACC0: 0.9733, val Gmean: 0.1559 (best 0.6763)
2025-05-14 21:23:30 - Epoch 68, loss: 0.8728, val mf1: 0.4672, val ACC1: 0.0240, val ACC0: 0.9749, val Gmean: 0.1530 (best 0.6763)
2025-05-14 21:23:30 - Epoch 69, loss: 0.8144, val mf1: 0.4649, val ACC1: 0.0202, val ACC0: 0.9787, val Gmean: 0.1405 (best 0.6763)
2025-05-14 21:23:30 - Epoch 70, loss: 0.7504, val mf1: 0.4610, val ACC1: 0.0144, val ACC0: 0.9832, val Gmean: 0.1190 (best 0.6763)
2025-05-14 21:23:30 - Test: REC 0.0137 PRE 0.1696 MF1 0.4610 AUC 0.5424 ACC1 0.0137 ACC0 0.9855 Gmean 0.1163
2025-05-14 21:23:30 - Epoch 71, loss: 0.7083, val mf1: 0.4612, val ACC1: 0.0134, val ACC0: 0.9870, val Gmean: 0.1152 (best 0.6763)
2025-05-14 21:23:31 - Epoch 72, loss: 0.6703, val mf1: 0.4573, val ACC1: 0.0086, val ACC0: 0.9896, val Gmean: 0.0925 (best 0.6763)
2025-05-14 21:23:31 - Epoch 73, loss: 0.6386, val mf1: 0.4585, val ACC1: 0.0096, val ACC0: 0.9905, val Gmean: 0.0975 (best 0.6763)
2025-05-14 21:23:31 - Epoch 74, loss: 0.6268, val mf1: 0.4579, val ACC1: 0.0086, val ACC0: 0.9915, val Gmean: 0.0926 (best 0.6763)
2025-05-14 21:23:31 - Epoch 75, loss: 0.6200, val mf1: 0.4590, val ACC1: 0.0086, val ACC0: 0.9957, val Gmean: 0.0928 (best 0.6763)
2025-05-14 21:23:31 - Epoch 76, loss: 0.6144, val mf1: 0.4555, val ACC1: 0.0048, val ACC0: 0.9969, val Gmean: 0.0692 (best 0.6763)
2025-05-14 21:23:31 - Epoch 77, loss: 0.6058, val mf1: 0.4531, val ACC1: 0.0019, val ACC0: 0.9990, val Gmean: 0.0438 (best 0.6763)
2025-05-14 21:23:31 - Epoch 78, loss: 0.5988, val mf1: 0.4523, val ACC1: 0.0010, val ACC0: 0.9998, val Gmean: 0.0310 (best 0.6763)
2025-05-14 21:23:31 - Epoch 79, loss: 0.5908, val mf1: 0.4523, val ACC1: 0.0010, val ACC0: 0.9998, val Gmean: 0.0310 (best 0.6763)
2025-05-14 21:23:31 - Epoch 80, loss: 0.5815, val mf1: 0.4522, val ACC1: 0.0010, val ACC0: 0.9996, val Gmean: 0.0310 (best 0.6763)
2025-05-14 21:23:31 - Test: REC 0.0000 PRE 0.0000 MF1 0.4512 AUC 0.5076 ACC1 0.0000 ACC0 0.9995 Gmean 0.0000
2025-05-14 21:23:31 - Epoch 81, loss: 0.5720, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Epoch 82, loss: 0.5691, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Epoch 83, loss: 0.5613, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Epoch 84, loss: 0.5520, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Epoch 85, loss: 0.5469, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Epoch 86, loss: 0.5410, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Epoch 87, loss: 0.5319, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Epoch 88, loss: 0.5242, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Epoch 89, loss: 0.5163, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Epoch 90, loss: 0.5127, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:32 - Test: REC 0.0000 PRE 0.0000 MF1 0.4513 AUC 0.5072 ACC1 0.0000 ACC0 0.9996 Gmean 0.0000
2025-05-14 21:23:33 - Epoch 91, loss: 0.5053, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:33 - Epoch 92, loss: 0.4990, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:33 - Epoch 93, loss: 0.4921, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:33 - Epoch 94, loss: 0.4882, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:33 - Epoch 95, loss: 0.4835, val mf1: 0.4522, val ACC1: 0.0019, val ACC0: 0.9957, val Gmean: 0.0437 (best 0.6763)
2025-05-14 21:23:33 - Epoch 96, loss: 0.4791, val mf1: 0.4524, val ACC1: 0.0019, val ACC0: 0.9965, val Gmean: 0.0438 (best 0.6763)
2025-05-14 21:23:33 - Epoch 97, loss: 0.4762, val mf1: 0.4525, val ACC1: 0.0019, val ACC0: 0.9967, val Gmean: 0.0438 (best 0.6763)
2025-05-14 21:23:33 - Epoch 98, loss: 0.4715, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:34 - Epoch 99, loss: 0.4702, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 0.9998, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:34 - time cost: 10.80 s
2025-05-14 21:23:34 - Best Epoch 47, Test: REC 37.01 PRE 61.67 MF1 68.69 AUC 67.51 ACC1 37.01 ACC0 95.04 Gmean 59.31
2025-05-14 21:23:39 - 过滤标签为2的样本后，剩余样本数量: 29643
2025-05-14 21:23:39 - 训练集正样本数: 2102, 负样本数: 9755
2025-05-14 21:23:39 - train/dev/test samples: 11857, 5869, 11917
2025-05-14 21:23:39 - cross entropy weight: 4.640818
2025-05-14 21:23:40 - Epoch 0, loss: 2665.6523, val mf1: 0.4566, val ACC1: 0.0067, val ACC0: 0.9938, val Gmean: 0.0817 (best 0.4566)
2025-05-14 21:23:40 - Test: REC 0.0038 PRE 0.1311 MF1 0.4539 AUC 0.4993 ACC1 0.0038 ACC0 0.9946 Gmean 0.0614
2025-05-14 21:23:40 - Epoch 1, loss: 225215.1406, val mf1: 0.1507, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:40 - Epoch 2, loss: 44313.0469, val mf1: 0.1507, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:40 - Epoch 3, loss: 2115.9592, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:40 - Epoch 4, loss: 2315.5671, val mf1: 0.4511, val ACC1: 0.0000, val ACC0: 0.9992, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:40 - Epoch 5, loss: 10240.1875, val mf1: 0.1507, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:41 - Epoch 6, loss: 3077.1152, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:41 - Epoch 7, loss: 4691.2256, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:41 - Epoch 8, loss: 4547.3994, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4566)
2025-05-14 21:23:41 - Epoch 9, loss: 3246.0615, val mf1: 0.4522, val ACC1: 0.0010, val ACC0: 0.9994, val Gmean: 0.0310 (best 0.4566)
2025-05-14 21:23:41 - Epoch 10, loss: 1146.8116, val mf1: 0.4596, val ACC1: 0.0134, val ACC0: 0.9816, val Gmean: 0.1149 (best 0.4596)
2025-05-14 21:23:41 - Test: REC 0.0066 PRE 0.0843 MF1 0.4539 AUC 0.4935 ACC1 0.0066 ACC0 0.9845 Gmean 0.0808
2025-05-14 21:23:41 - Epoch 11, loss: 6089.2261, val mf1: 0.1513, val ACC1: 1.0000, val ACC0: 0.0006, val Gmean: 0.0249 (best 0.4596)
2025-05-14 21:23:41 - Epoch 12, loss: 454.6826, val mf1: 0.4884, val ACC1: 0.1787, val ACC0: 0.7978, val Gmean: 0.3776 (best 0.4884)
2025-05-14 21:23:41 - Epoch 13, loss: 1285.7887, val mf1: 0.4585, val ACC1: 0.0106, val ACC0: 0.9874, val Gmean: 0.1021 (best 0.4884)
2025-05-14 21:23:41 - Epoch 14, loss: 1591.0352, val mf1: 0.4561, val ACC1: 0.0058, val ACC0: 0.9954, val Gmean: 0.0757 (best 0.4884)
2025-05-14 21:23:42 - Epoch 15, loss: 1544.4277, val mf1: 0.4534, val ACC1: 0.0029, val ACC0: 0.9965, val Gmean: 0.0536 (best 0.4884)
2025-05-14 21:23:42 - Epoch 16, loss: 1199.1249, val mf1: 0.4550, val ACC1: 0.0048, val ACC0: 0.9950, val Gmean: 0.0691 (best 0.4884)
2025-05-14 21:23:42 - Epoch 17, loss: 652.7833, val mf1: 0.4597, val ACC1: 0.0125, val ACC0: 0.9851, val Gmean: 0.1109 (best 0.4884)
2025-05-14 21:23:42 - Epoch 18, loss: 236.6579, val mf1: 0.5315, val ACC1: 0.6398, val ACC0: 0.5853, val Gmean: 0.6119 (best 0.5315)
2025-05-14 21:23:42 - Epoch 19, loss: 973.6611, val mf1: 0.1763, val ACC1: 0.9683, val ACC0: 0.0278, val Gmean: 0.1639 (best 0.5315)
2025-05-14 21:23:42 - Epoch 20, loss: 309.8300, val mf1: 0.4606, val ACC1: 0.0134, val ACC0: 0.9851, val Gmean: 0.1151 (best 0.5315)
2025-05-14 21:23:42 - Test: REC 0.0062 PRE 0.0828 MF1 0.4537 AUC 0.4918 ACC1 0.0062 ACC0 0.9853 Gmean 0.0779
2025-05-14 21:23:42 - Epoch 21, loss: 632.2094, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:42 - Epoch 22, loss: 736.2428, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:42 - Epoch 23, loss: 680.0858, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:42 - Epoch 24, loss: 512.8301, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:42 - Epoch 25, loss: 272.5910, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.5315)
2025-05-14 21:23:43 - Epoch 26, loss: 44.7649, val mf1: 0.6469, val ACC1: 0.4649, val ACC0: 0.8490, val Gmean: 0.6283 (best 0.6469)
2025-05-14 21:23:43 - Epoch 27, loss: 699.9519, val mf1: 0.1532, val ACC1: 0.9971, val ACC0: 0.0027, val Gmean: 0.0518 (best 0.6469)
2025-05-14 21:23:43 - Epoch 28, loss: 206.5584, val mf1: 0.2516, val ACC1: 0.9049, val ACC0: 0.1147, val Gmean: 0.3222 (best 0.6469)
2025-05-14 21:23:43 - Epoch 29, loss: 220.5237, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:43 - Epoch 30, loss: 420.3922, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:43 - Test: REC 0.0000 PRE 0.0000 MF1 0.4514 AUC 0.4986 ACC1 0.0000 ACC0 1.0000 Gmean 0.0000
2025-05-14 21:23:43 - Epoch 31, loss: 527.0259, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:43 - Epoch 32, loss: 559.0527, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:43 - Epoch 33, loss: 532.7135, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:43 - Epoch 34, loss: 462.9634, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:43 - Epoch 35, loss: 362.0040, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:44 - Epoch 36, loss: 238.8875, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.6469)
2025-05-14 21:23:44 - Epoch 37, loss: 159.9726, val mf1: 0.5540, val ACC1: 0.3122, val ACC0: 0.8068, val Gmean: 0.5019 (best 0.6469)
2025-05-14 21:23:44 - Epoch 38, loss: 70.2627, val mf1: 0.5875, val ACC1: 0.2411, val ACC0: 0.9149, val Gmean: 0.4697 (best 0.6469)
2025-05-14 21:23:44 - Epoch 39, loss: 80.5042, val mf1: 0.6533, val ACC1: 0.4371, val ACC0: 0.8728, val Gmean: 0.6177 (best 0.6533)
2025-05-14 21:23:44 - Epoch 40, loss: 78.1439, val mf1: 0.6330, val ACC1: 0.4476, val ACC0: 0.8397, val Gmean: 0.6131 (best 0.6533)
2025-05-14 21:23:44 - Test: REC 0.4619 PRE 0.3787 MF1 0.6366 AUC 0.6513 ACC1 0.4619 ACC0 0.8367 Gmean 0.6217
2025-05-14 21:23:44 - Epoch 41, loss: 51.1287, val mf1: 0.5383, val ACC1: 0.2382, val ACC0: 0.8380, val Gmean: 0.4468 (best 0.6533)
2025-05-14 21:23:44 - Epoch 42, loss: 43.3657, val mf1: 0.4685, val ACC1: 0.1057, val ACC0: 0.8355, val Gmean: 0.2971 (best 0.6533)
2025-05-14 21:23:44 - Epoch 43, loss: 36.8767, val mf1: 0.3783, val ACC1: 0.3045, val ACC0: 0.4834, val Gmean: 0.3837 (best 0.6533)
2025-05-14 21:23:44 - Epoch 44, loss: 25.8440, val mf1: 0.4922, val ACC1: 0.4851, val ACC0: 0.5936, val Gmean: 0.5366 (best 0.6533)
2025-05-14 21:23:45 - Epoch 45, loss: 52.2632, val mf1: 0.5903, val ACC1: 0.5427, val ACC0: 0.7251, val Gmean: 0.6274 (best 0.6533)
2025-05-14 21:23:45 - Epoch 46, loss: 46.5805, val mf1: 0.6528, val ACC1: 0.4448, val ACC0: 0.8679, val Gmean: 0.6213 (best 0.6533)
2025-05-14 21:23:45 - Epoch 47, loss: 36.5289, val mf1: 0.6763, val ACC1: 0.3593, val ACC0: 0.9451, val Gmean: 0.5827 (best 0.6763)
2025-05-14 21:23:45 - Epoch 48, loss: 30.0288, val mf1: 0.4725, val ACC1: 0.0279, val ACC0: 0.9803, val Gmean: 0.1653 (best 0.6763)
2025-05-14 21:23:45 - Epoch 49, loss: 29.6154, val mf1: 0.6240, val ACC1: 0.2430, val ACC0: 0.9621, val Gmean: 0.4836 (best 0.6763)
2025-05-14 21:23:45 - Epoch 50, loss: 23.8803, val mf1: 0.6011, val ACC1: 0.2219, val ACC0: 0.9499, val Gmean: 0.4591 (best 0.6763)
2025-05-14 21:23:45 - Test: REC 0.2347 PRE 0.5362 MF1 0.6141 AUC 0.5717 ACC1 0.2347 ACC0 0.9562 Gmean 0.4738
2025-05-14 21:23:45 - Epoch 51, loss: 18.2626, val mf1: 0.5390, val ACC1: 0.3477, val ACC0: 0.7562, val Gmean: 0.5128 (best 0.6763)
2025-05-14 21:23:45 - Epoch 52, loss: 13.5840, val mf1: 0.5121, val ACC1: 0.1816, val ACC0: 0.8422, val Gmean: 0.3910 (best 0.6763)
2025-05-14 21:23:45 - Epoch 53, loss: 10.0567, val mf1: 0.5258, val ACC1: 0.1835, val ACC0: 0.8662, val Gmean: 0.3987 (best 0.6763)
2025-05-14 21:23:45 - Epoch 54, loss: 5.9782, val mf1: 0.5368, val ACC1: 0.1969, val ACC0: 0.8728, val Gmean: 0.4146 (best 0.6763)
2025-05-14 21:23:46 - Epoch 55, loss: 2.9447, val mf1: 0.6328, val ACC1: 0.4121, val ACC0: 0.8600, val Gmean: 0.5953 (best 0.6763)
2025-05-14 21:23:46 - Epoch 56, loss: 3.0578, val mf1: 0.6179, val ACC1: 0.4159, val ACC0: 0.8370, val Gmean: 0.5900 (best 0.6763)
2025-05-14 21:23:46 - Epoch 57, loss: 4.1739, val mf1: 0.5883, val ACC1: 0.4486, val ACC0: 0.7736, val Gmean: 0.5891 (best 0.6763)
2025-05-14 21:23:46 - Epoch 58, loss: 3.6257, val mf1: 0.6276, val ACC1: 0.3622, val ACC0: 0.8836, val Gmean: 0.5657 (best 0.6763)
2025-05-14 21:23:46 - Epoch 59, loss: 3.5984, val mf1: 0.6395, val ACC1: 0.3247, val ACC0: 0.9234, val Gmean: 0.5475 (best 0.6763)
2025-05-14 21:23:46 - Epoch 60, loss: 3.7296, val mf1: 0.4875, val ACC1: 0.0980, val ACC0: 0.8892, val Gmean: 0.2952 (best 0.6763)
2025-05-14 21:23:46 - Test: REC 0.1278 PRE 0.2013 MF1 0.5067 AUC 0.5838 ACC1 0.1278 ACC0 0.8908 Gmean 0.3374
2025-05-14 21:23:46 - Epoch 61, loss: 3.2231, val mf1: 0.5061, val ACC1: 0.1691, val ACC0: 0.8432, val Gmean: 0.3776 (best 0.6763)
2025-05-14 21:23:46 - Epoch 62, loss: 2.5063, val mf1: 0.5719, val ACC1: 0.2594, val ACC0: 0.8763, val Gmean: 0.4768 (best 0.6763)
2025-05-14 21:23:46 - Epoch 63, loss: 1.9684, val mf1: 0.5743, val ACC1: 0.4352, val ACC0: 0.7595, val Gmean: 0.5749 (best 0.6763)
2025-05-14 21:23:46 - Epoch 64, loss: 1.5847, val mf1: 0.4759, val ACC1: 0.6110, val ACC0: 0.5077, val Gmean: 0.5569 (best 0.6763)
2025-05-14 21:23:47 - Epoch 65, loss: 1.2739, val mf1: 0.4648, val ACC1: 0.0279, val ACC0: 0.9582, val Gmean: 0.1634 (best 0.6763)
2025-05-14 21:23:47 - Epoch 66, loss: 1.0685, val mf1: 0.4641, val ACC1: 0.0240, val ACC0: 0.9658, val Gmean: 0.1523 (best 0.6763)
2025-05-14 21:23:47 - Epoch 67, loss: 0.9570, val mf1: 0.4675, val ACC1: 0.0250, val ACC0: 0.9733, val Gmean: 0.1559 (best 0.6763)
2025-05-14 21:23:47 - Epoch 68, loss: 0.8728, val mf1: 0.4672, val ACC1: 0.0240, val ACC0: 0.9749, val Gmean: 0.1530 (best 0.6763)
2025-05-14 21:23:47 - Epoch 69, loss: 0.8144, val mf1: 0.4649, val ACC1: 0.0202, val ACC0: 0.9787, val Gmean: 0.1405 (best 0.6763)
2025-05-14 21:23:47 - Epoch 70, loss: 0.7504, val mf1: 0.4610, val ACC1: 0.0144, val ACC0: 0.9832, val Gmean: 0.1190 (best 0.6763)
2025-05-14 21:23:47 - Test: REC 0.0137 PRE 0.1696 MF1 0.4610 AUC 0.5424 ACC1 0.0137 ACC0 0.9855 Gmean 0.1163
2025-05-14 21:23:47 - Epoch 71, loss: 0.7083, val mf1: 0.4612, val ACC1: 0.0134, val ACC0: 0.9870, val Gmean: 0.1152 (best 0.6763)
2025-05-14 21:23:47 - Epoch 72, loss: 0.6703, val mf1: 0.4573, val ACC1: 0.0086, val ACC0: 0.9896, val Gmean: 0.0925 (best 0.6763)
2025-05-14 21:23:47 - Epoch 73, loss: 0.6386, val mf1: 0.4585, val ACC1: 0.0096, val ACC0: 0.9905, val Gmean: 0.0975 (best 0.6763)
2025-05-14 21:23:47 - Epoch 74, loss: 0.6268, val mf1: 0.4579, val ACC1: 0.0086, val ACC0: 0.9915, val Gmean: 0.0926 (best 0.6763)
2025-05-14 21:23:47 - Epoch 75, loss: 0.6200, val mf1: 0.4590, val ACC1: 0.0086, val ACC0: 0.9957, val Gmean: 0.0928 (best 0.6763)
2025-05-14 21:23:48 - Epoch 76, loss: 0.6144, val mf1: 0.4555, val ACC1: 0.0048, val ACC0: 0.9969, val Gmean: 0.0692 (best 0.6763)
2025-05-14 21:23:48 - Epoch 77, loss: 0.6058, val mf1: 0.4531, val ACC1: 0.0019, val ACC0: 0.9990, val Gmean: 0.0438 (best 0.6763)
2025-05-14 21:23:48 - Epoch 78, loss: 0.5988, val mf1: 0.4523, val ACC1: 0.0010, val ACC0: 0.9998, val Gmean: 0.0310 (best 0.6763)
2025-05-14 21:23:48 - Epoch 79, loss: 0.5908, val mf1: 0.4523, val ACC1: 0.0010, val ACC0: 0.9998, val Gmean: 0.0310 (best 0.6763)
2025-05-14 21:23:48 - Epoch 80, loss: 0.5815, val mf1: 0.4522, val ACC1: 0.0010, val ACC0: 0.9996, val Gmean: 0.0310 (best 0.6763)
2025-05-14 21:23:48 - Test: REC 0.0000 PRE 0.0000 MF1 0.4512 AUC 0.5076 ACC1 0.0000 ACC0 0.9995 Gmean 0.0000
2025-05-14 21:23:48 - Epoch 81, loss: 0.5720, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:48 - Epoch 82, loss: 0.5691, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:48 - Epoch 83, loss: 0.5613, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:48 - Epoch 84, loss: 0.5520, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:48 - Epoch 85, loss: 0.5469, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Epoch 86, loss: 0.5410, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Epoch 87, loss: 0.5319, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Epoch 88, loss: 0.5242, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Epoch 89, loss: 0.5163, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Epoch 90, loss: 0.5127, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Test: REC 0.0000 PRE 0.0000 MF1 0.4513 AUC 0.5072 ACC1 0.0000 ACC0 0.9996 Gmean 0.0000
2025-05-14 21:23:49 - Epoch 91, loss: 0.5053, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Epoch 92, loss: 0.4990, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Epoch 93, loss: 0.4921, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Epoch 94, loss: 0.4882, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:49 - Epoch 95, loss: 0.4835, val mf1: 0.4522, val ACC1: 0.0019, val ACC0: 0.9957, val Gmean: 0.0437 (best 0.6763)
2025-05-14 21:23:50 - Epoch 96, loss: 0.4791, val mf1: 0.4524, val ACC1: 0.0019, val ACC0: 0.9965, val Gmean: 0.0438 (best 0.6763)
2025-05-14 21:23:50 - Epoch 97, loss: 0.4762, val mf1: 0.4525, val ACC1: 0.0019, val ACC0: 0.9967, val Gmean: 0.0438 (best 0.6763)
2025-05-14 21:23:50 - Epoch 98, loss: 0.4715, val mf1: 0.4512, val ACC1: 0.0000, val ACC0: 0.9996, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:50 - Epoch 99, loss: 0.4702, val mf1: 0.4513, val ACC1: 0.0000, val ACC0: 0.9998, val Gmean: 0.0000 (best 0.6763)
2025-05-14 21:23:50 - time cost: 10.60 s
2025-05-14 21:23:50 - Best Epoch 47, Test: REC 37.01 PRE 61.67 MF1 68.69 AUC 67.51 ACC1 37.01 ACC0 95.04 Gmean 59.31
