2025-05-09 20:49:58 - 运行开始时间: 20250509_204958
2025-05-09 20:49:58 - 日志文件: logs/train_log_yelp_seed64_20250509_204958.txt
2025-05-09 20:49:58 - 有标签数据: 正样本数: 1, 负样本数: 1, 总数: 2
2025-05-09 20:49:58 - 无标签数据数量: 457
2025-05-09 20:49:58 - 训练集总数: 459, 验证集: 15013, 测试集: 30482
2025-05-09 20:49:58 - cross entropy weight: 1.000000 (不使用)
2025-05-09 20:49:58 - 伪标签策略：
2025-05-09 20:49:58 -   使用模型输出和聚类结果的融合
2025-05-09 20:49:59 - Epoch 0 伪标签: 正样本: 243 (53.2%), 负样本: 214 (46.8%)
2025-05-09 20:49:59 - Epoch 0, 有标签损失: 0.7135, 一致性损失: 0.0000, 伪标签损失: 0.3399, LPL损失: 581.7744, 聚类损失: 1.1331, 总损失: 6.6083
2025-05-09 20:49:59 - Epoch 0, 测试集 AUC: 0.7065, PRE: 0.2462, REC: 0.7873, MF1: 0.5505, ACC1: 0.7873, ACC0: 0.5903, Gmean: 0.6817
2025-05-09 20:49:59 - 更新最佳测试结果 (Epoch 0): AUC 0.7065, PRE 0.2462, REC 0.7873, MF1 0.5505, ACC1 0.7873, ACC0 0.5903, Gmean 0.6817
2025-05-09 20:49:59 - Epoch 0, val mf1: 0.5498, val ACC1: 0.8024, val ACC0: 0.5839, val Gmean: 0.6845 (best 0.5498)
2025-05-09 20:50:00 - Epoch 1 伪标签: 正样本: 236 (51.6%), 负样本: 221 (48.4%)
2025-05-09 20:50:00 - Epoch 1, 测试集 AUC: 0.7038, PRE: 0.2431, REC: 0.6439, MF1: 0.5597, ACC1: 0.6439, ACC0: 0.6591, Gmean: 0.6515
2025-05-09 20:50:00 - Epoch 1, val mf1: 0.5621, val ACC1: 0.6602, val ACC0: 0.6561, val Gmean: 0.6582 (best 0.5621)
2025-05-09 20:50:00 - Epoch 2 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:50:01 - Epoch 2, 测试集 AUC: 0.7033, PRE: 0.2433, REC: 0.3854, MF1: 0.5681, ACC1: 0.3854, ACC0: 0.7962, Gmean: 0.5540
2025-05-09 20:50:01 - Epoch 2, val mf1: 0.5804, val ACC1: 0.4168, val ACC0: 0.7976, val Gmean: 0.5766 (best 0.5804)
2025-05-09 20:50:01 - Epoch 3 伪标签: 正样本: 226 (49.5%), 负样本: 231 (50.5%)
2025-05-09 20:50:01 - Epoch 3, 测试集 AUC: 0.7032, PRE: 0.2555, REC: 0.1635, MF1: 0.5455, ACC1: 0.1635, ACC0: 0.9190, Gmean: 0.3876
2025-05-09 20:50:01 - Epoch 3, val mf1: 0.5594, val ACC1: 0.1843, val ACC0: 0.9217, val Gmean: 0.4122 (best 0.5804)
2025-05-09 20:50:02 - Epoch 4 伪标签: 正样本: 237 (51.9%), 负样本: 220 (48.1%)
2025-05-09 20:50:02 - Epoch 4, 测试集 AUC: 0.7038, PRE: 0.2814, REC: 0.0702, MF1: 0.5119, ACC1: 0.0702, ACC0: 0.9695, Gmean: 0.2609
2025-05-09 20:50:02 - Epoch 4, val mf1: 0.5181, val ACC1: 0.0789, val ACC0: 0.9684, val Gmean: 0.2764 (best 0.5804)
2025-05-09 20:50:02 - Epoch 5 伪标签: 正样本: 237 (51.9%), 负样本: 220 (48.1%)
2025-05-09 20:50:03 - Epoch 5, 测试集 AUC: 0.7048, PRE: 0.3136, REC: 0.0418, MF1: 0.4953, ACC1: 0.0418, ACC0: 0.9845, Gmean: 0.2028
2025-05-09 20:50:03 - Epoch 5, val mf1: 0.5035, val ACC1: 0.0504, val ACC0: 0.9857, val Gmean: 0.2230 (best 0.5804)
2025-05-09 20:50:03 - Epoch 6 伪标签: 正样本: 225 (49.2%), 负样本: 232 (50.8%)
2025-05-09 20:50:03 - Epoch 6, 测试集 AUC: 0.7050, PRE: 0.3245, REC: 0.0388, MF1: 0.4935, ACC1: 0.0388, ACC0: 0.9863, Gmean: 0.1957
2025-05-09 20:50:03 - Epoch 6, val mf1: 0.5015, val ACC1: 0.0472, val ACC0: 0.9874, val Gmean: 0.2159 (best 0.5804)
2025-05-09 20:50:03 - Epoch 7 伪标签: 正样本: 230 (50.3%), 负样本: 227 (49.7%)
2025-05-09 20:50:04 - Epoch 7, 测试集 AUC: 0.7046, PRE: 0.3201, REC: 0.0420, MF1: 0.4957, ACC1: 0.0420, ACC0: 0.9848, Gmean: 0.2034
2025-05-09 20:50:04 - Epoch 7, val mf1: 0.5058, val ACC1: 0.0527, val ACC0: 0.9863, val Gmean: 0.2280 (best 0.5804)
2025-05-09 20:50:04 - Epoch 8 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:50:04 - Epoch 8, 测试集 AUC: 0.7041, PRE: 0.3328, REC: 0.0440, MF1: 0.4976, ACC1: 0.0440, ACC0: 0.9850, Gmean: 0.2082
2025-05-09 20:50:04 - Epoch 8, val mf1: 0.5039, val ACC1: 0.0509, val ACC0: 0.9856, val Gmean: 0.2240 (best 0.5804)
2025-05-09 20:50:05 - Epoch 9 伪标签: 正样本: 235 (51.4%), 负样本: 222 (48.6%)
2025-05-09 20:50:05 - Epoch 9, 测试集 AUC: 0.7029, PRE: 0.3447, REC: 0.0434, MF1: 0.4974, ACC1: 0.0434, ACC0: 0.9860, Gmean: 0.2067
2025-05-09 20:50:05 - Epoch 9, val mf1: 0.5014, val ACC1: 0.0481, val ACC0: 0.9853, val Gmean: 0.2178 (best 0.5804)
2025-05-09 20:50:05 - Epoch 10 伪标签: 正样本: 222 (48.6%), 负样本: 235 (51.4%)
2025-05-09 20:50:05 - Epoch 10, 有标签损失: 0.4798, 一致性损失: 0.0000, 伪标签损失: 0.4369, LPL损失: 577.3720, 聚类损失: 1.0254, 总损失: 7.6110
2025-05-09 20:50:06 - Epoch 10, 测试集 AUC: 0.7003, PRE: 0.3350, REC: 0.0447, MF1: 0.4981, ACC1: 0.0447, ACC0: 0.9849, Gmean: 0.2098
2025-05-09 20:50:06 - Epoch 10, val mf1: 0.5021, val ACC1: 0.0495, val ACC0: 0.9843, val Gmean: 0.2208 (best 0.5804)
2025-05-09 20:50:06 - Epoch 11 伪标签: 正样本: 229 (50.1%), 负样本: 228 (49.9%)
2025-05-09 20:50:06 - Epoch 11, 测试集 AUC: 0.6961, PRE: 0.3206, REC: 0.0513, MF1: 0.5022, ACC1: 0.0513, ACC0: 0.9815, Gmean: 0.2243
2025-05-09 20:50:06 - Epoch 11, val mf1: 0.5024, val ACC1: 0.0518, val ACC0: 0.9808, val Gmean: 0.2254 (best 0.5804)
2025-05-09 20:50:06 - Epoch 12 伪标签: 正样本: 213 (46.6%), 负样本: 244 (53.4%)
2025-05-09 20:50:07 - Epoch 12, 测试集 AUC: 0.6904, PRE: 0.3139, REC: 0.0585, MF1: 0.5068, ACC1: 0.0585, ACC0: 0.9783, Gmean: 0.2392
2025-05-09 20:50:07 - Epoch 12, val mf1: 0.5081, val ACC1: 0.0605, val ACC0: 0.9774, val Gmean: 0.2432 (best 0.5804)
2025-05-09 20:50:07 - Epoch 13 伪标签: 正样本: 228 (49.9%), 负样本: 229 (50.1%)
2025-05-09 20:50:07 - Epoch 13, 测试集 AUC: 0.6830, PRE: 0.3090, REC: 0.0677, MF1: 0.5124, ACC1: 0.0677, ACC0: 0.9742, Gmean: 0.2569
2025-05-09 20:50:07 - Epoch 13, val mf1: 0.5098, val ACC1: 0.0651, val ACC0: 0.9733, val Gmean: 0.2517 (best 0.5804)
2025-05-09 20:50:07 - Epoch 14 伪标签: 正样本: 235 (51.4%), 负样本: 222 (48.6%)
2025-05-09 20:50:08 - Epoch 14, 测试集 AUC: 0.6750, PRE: 0.2982, REC: 0.0734, MF1: 0.5150, ACC1: 0.0734, ACC0: 0.9706, Gmean: 0.2669
2025-05-09 20:50:08 - Epoch 14, val mf1: 0.5120, val ACC1: 0.0706, val ACC0: 0.9692, val Gmean: 0.2616 (best 0.5804)
2025-05-09 20:50:08 - Epoch 15 伪标签: 正样本: 224 (49.0%), 负样本: 233 (51.0%)
2025-05-09 20:50:08 - Epoch 15, 测试集 AUC: 0.6672, PRE: 0.2955, REC: 0.0770, MF1: 0.5168, ACC1: 0.0770, ACC0: 0.9688, Gmean: 0.2731
2025-05-09 20:50:08 - Epoch 15, val mf1: 0.5143, val ACC1: 0.0747, val ACC0: 0.9673, val Gmean: 0.2689 (best 0.5804)
2025-05-09 20:50:09 - Epoch 16 伪标签: 正样本: 216 (47.3%), 负样本: 241 (52.7%)
2025-05-09 20:50:09 - Epoch 16, 测试集 AUC: 0.6600, PRE: 0.2952, REC: 0.0763, MF1: 0.5164, ACC1: 0.0763, ACC0: 0.9690, Gmean: 0.2719
2025-05-09 20:50:09 - Epoch 16, val mf1: 0.5128, val ACC1: 0.0729, val ACC0: 0.9673, val Gmean: 0.2655 (best 0.5804)
2025-05-09 20:50:09 - Epoch 17 伪标签: 正样本: 212 (46.4%), 负样本: 245 (53.6%)
2025-05-09 20:50:10 - Epoch 17, 测试集 AUC: 0.6533, PRE: 0.2990, REC: 0.0727, MF1: 0.5146, ACC1: 0.0727, ACC0: 0.9710, Gmean: 0.2657
2025-05-09 20:50:10 - Epoch 17, val mf1: 0.5112, val ACC1: 0.0697, val ACC0: 0.9689, val Gmean: 0.2599 (best 0.5804)
2025-05-09 20:50:10 - Epoch 18 伪标签: 正样本: 220 (48.1%), 负样本: 237 (51.9%)
2025-05-09 20:50:10 - Epoch 18, 测试集 AUC: 0.6474, PRE: 0.2954, REC: 0.0668, MF1: 0.5109, ACC1: 0.0668, ACC0: 0.9729, Gmean: 0.2550
2025-05-09 20:50:10 - Epoch 18, val mf1: 0.5073, val ACC1: 0.0642, val ACC0: 0.9699, val Gmean: 0.2495 (best 0.5804)
2025-05-09 20:50:10 - Epoch 19 伪标签: 正样本: 208 (45.5%), 负样本: 249 (54.5%)
2025-05-09 20:50:11 - Epoch 19, 测试集 AUC: 0.6427, PRE: 0.2043, REC: 0.5855, MF1: 0.5154, ACC1: 0.5855, ACC0: 0.6124, Gmean: 0.5988
2025-05-09 20:50:11 - Epoch 19, val mf1: 0.5163, val ACC1: 0.5841, val ACC0: 0.6146, val Gmean: 0.5992 (best 0.5804)
2025-05-09 20:50:11 - Epoch 20 伪标签: 正样本: 188 (41.1%), 负样本: 269 (58.9%)
2025-05-09 20:50:11 - Epoch 20, 有标签损失: 0.0251, 一致性损失: 0.0000, 伪标签损失: 0.8654, LPL损失: 97.8408, 聚类损失: 3.0297, 总损失: 1.5469
2025-05-09 20:50:11 - Epoch 20, 测试集 AUC: 0.6393, PRE: 0.2114, REC: 0.5064, MF1: 0.5343, ACC1: 0.5064, ACC0: 0.6788, Gmean: 0.5863
2025-05-09 20:50:11 - Epoch 20, val mf1: 0.5336, val ACC1: 0.5016, val ACC0: 0.6800, val Gmean: 0.5840 (best 0.5804)
2025-05-09 20:50:11 - Epoch 21 伪标签: 正样本: 198 (43.3%), 负样本: 259 (56.7%)
2025-05-09 20:50:12 - Epoch 21, 测试集 AUC: 0.6363, PRE: 0.2201, REC: 0.4579, MF1: 0.5474, ACC1: 0.4579, ACC0: 0.7243, Gmean: 0.5759
2025-05-09 20:50:12 - Epoch 21, val mf1: 0.5442, val ACC1: 0.4480, val ACC0: 0.7241, val Gmean: 0.5695 (best 0.5804)
2025-05-09 20:50:12 - Epoch 22 伪标签: 正样本: 174 (38.1%), 负样本: 283 (61.9%)
2025-05-09 20:50:12 - Epoch 22, 测试集 AUC: 0.6337, PRE: 0.2232, REC: 0.4270, MF1: 0.5517, ACC1: 0.4270, ACC0: 0.7473, Gmean: 0.5649
2025-05-09 20:50:12 - Epoch 22, val mf1: 0.5483, val ACC1: 0.4204, val ACC0: 0.7453, val Gmean: 0.5598 (best 0.5804)
2025-05-09 20:50:12 - Epoch 23 伪标签: 正样本: 158 (34.6%), 负样本: 299 (65.4%)
2025-05-09 20:50:13 - Epoch 23, 测试集 AUC: 0.6315, PRE: 0.2226, REC: 0.4141, MF1: 0.5516, ACC1: 0.4141, ACC0: 0.7541, Gmean: 0.5588
2025-05-09 20:50:13 - Epoch 23, val mf1: 0.5496, val ACC1: 0.4104, val ACC0: 0.7530, val Gmean: 0.5559 (best 0.5804)
2025-05-09 20:50:13 - Epoch 24 伪标签: 正样本: 176 (38.5%), 负样本: 281 (61.5%)
2025-05-09 20:50:13 - Epoch 24, 测试集 AUC: 0.6294, PRE: 0.2196, REC: 0.4200, MF1: 0.5487, ACC1: 0.4200, ACC0: 0.7463, Gmean: 0.5598
2025-05-09 20:50:13 - Epoch 24, val mf1: 0.5478, val ACC1: 0.4182, val ACC0: 0.7457, val Gmean: 0.5584 (best 0.5804)
2025-05-09 20:50:14 - Epoch 25 伪标签: 正样本: 216 (47.3%), 负样本: 241 (52.7%)
2025-05-09 20:50:14 - Epoch 25, 测试集 AUC: 0.6277, PRE: 0.2155, REC: 0.4403, MF1: 0.5439, ACC1: 0.4403, ACC0: 0.7276, Gmean: 0.5660
2025-05-09 20:50:14 - Epoch 25, val mf1: 0.5410, val ACC1: 0.4347, val ACC0: 0.7258, val Gmean: 0.5617 (best 0.5804)
2025-05-09 20:50:14 - Epoch 26 伪标签: 正样本: 214 (46.8%), 负样本: 243 (53.2%)
2025-05-09 20:50:14 - Epoch 26, 测试集 AUC: 0.6262, PRE: 0.2068, REC: 0.4699, MF1: 0.5325, ACC1: 0.4699, ACC0: 0.6937, Gmean: 0.5709
2025-05-09 20:50:14 - Epoch 26, val mf1: 0.5323, val ACC1: 0.4645, val ACC0: 0.6962, val Gmean: 0.5686 (best 0.5804)
2025-05-09 20:50:15 - Epoch 27 伪标签: 正样本: 224 (49.0%), 负样本: 233 (51.0%)
2025-05-09 20:50:15 - Epoch 27, 测试集 AUC: 0.6255, PRE: 0.2584, REC: 0.1307, MF1: 0.5360, ACC1: 0.1307, ACC0: 0.9362, Gmean: 0.3498
2025-05-09 20:50:15 - Epoch 27, val mf1: 0.5371, val ACC1: 0.1334, val ACC0: 0.9352, val Gmean: 0.3532 (best 0.5804)
2025-05-09 20:50:15 - Epoch 28 伪标签: 正样本: 212 (46.4%), 负样本: 245 (53.6%)
2025-05-09 20:50:15 - Epoch 28, 测试集 AUC: 0.6259, PRE: 0.2531, REC: 0.1474, MF1: 0.5403, ACC1: 0.1474, ACC0: 0.9260, Gmean: 0.3695
2025-05-09 20:50:15 - Epoch 28, val mf1: 0.5407, val ACC1: 0.1486, val ACC0: 0.9255, val Gmean: 0.3708 (best 0.5804)
2025-05-09 20:50:16 - Epoch 29 伪标签: 正样本: 213 (46.6%), 负样本: 244 (53.4%)
2025-05-09 20:50:16 - Epoch 29, 测试集 AUC: 0.6270, PRE: 0.2569, REC: 0.1594, MF1: 0.5448, ACC1: 0.1594, ACC0: 0.9216, Gmean: 0.3833
2025-05-09 20:50:16 - Epoch 29, val mf1: 0.5451, val ACC1: 0.1619, val ACC0: 0.9198, val Gmean: 0.3858 (best 0.5804)
2025-05-09 20:50:16 - Epoch 30 伪标签: 正样本: 224 (49.0%), 负样本: 233 (51.0%)
2025-05-09 20:50:16 - Epoch 30, 有标签损失: 0.0004, 一致性损失: 0.0000, 伪标签损失: 0.9999, LPL损失: 97.6649, 聚类损失: 3.8592, 总损失: 1.8548
2025-05-09 20:50:17 - Epoch 30, 测试集 AUC: 0.6287, PRE: 0.2572, REC: 0.1635, MF1: 0.5460, ACC1: 0.1635, ACC0: 0.9197, Gmean: 0.3877
2025-05-09 20:50:17 - Epoch 30, val mf1: 0.5471, val ACC1: 0.1669, val ACC0: 0.9183, val Gmean: 0.3915 (best 0.5804)
2025-05-09 20:50:17 - Epoch 31 伪标签: 正样本: 215 (47.0%), 负样本: 242 (53.0%)
2025-05-09 20:50:17 - Epoch 31, 测试集 AUC: 0.6308, PRE: 0.2582, REC: 0.1594, MF1: 0.5451, ACC1: 0.1594, ACC0: 0.9222, Gmean: 0.3834
2025-05-09 20:50:17 - Epoch 31, val mf1: 0.5476, val ACC1: 0.1646, val ACC0: 0.9212, val Gmean: 0.3894 (best 0.5804)
2025-05-09 20:50:17 - Epoch 32 伪标签: 正样本: 215 (47.0%), 负样本: 242 (53.0%)
2025-05-09 20:50:18 - Epoch 32, 测试集 AUC: 0.6331, PRE: 0.2571, REC: 0.1490, MF1: 0.5418, ACC1: 0.1490, ACC0: 0.9268, Gmean: 0.3716
2025-05-09 20:50:18 - Epoch 32, val mf1: 0.5461, val ACC1: 0.1568, val ACC0: 0.9261, val Gmean: 0.3811 (best 0.5804)
2025-05-09 20:50:18 - Epoch 33 伪标签: 正样本: 223 (48.8%), 负样本: 234 (51.2%)
2025-05-09 20:50:18 - Epoch 33, 测试集 AUC: 0.6356, PRE: 0.2609, REC: 0.1384, MF1: 0.5392, ACC1: 0.1384, ACC0: 0.9333, Gmean: 0.3594
2025-05-09 20:50:18 - Epoch 33, val mf1: 0.5456, val ACC1: 0.1495, val ACC0: 0.9324, val Gmean: 0.3733 (best 0.5804)
2025-05-09 20:50:18 - Epoch 34 伪标签: 正样本: 215 (47.0%), 负样本: 242 (53.0%)
2025-05-09 20:50:19 - Epoch 34, 测试集 AUC: 0.6384, PRE: 0.2626, REC: 0.1249, MF1: 0.5347, ACC1: 0.1249, ACC0: 0.9404, Gmean: 0.3427
2025-05-09 20:50:19 - Epoch 34, val mf1: 0.5413, val ACC1: 0.1362, val ACC0: 0.9391, val Gmean: 0.3576 (best 0.5804)
2025-05-09 20:50:19 - Epoch 35 伪标签: 正样本: 217 (47.5%), 负样本: 240 (52.5%)
2025-05-09 20:50:19 - Epoch 35, 测试集 AUC: 0.6413, PRE: 0.2699, REC: 0.1226, MF1: 0.5352, ACC1: 0.1226, ACC0: 0.9436, Gmean: 0.3401
2025-05-09 20:50:19 - Epoch 35, val mf1: 0.5390, val ACC1: 0.1298, val ACC0: 0.9420, val Gmean: 0.3496 (best 0.5804)
2025-05-09 20:50:19 - Epoch 36 伪标签: 正样本: 217 (47.5%), 负样本: 240 (52.5%)
2025-05-09 20:50:20 - Epoch 36, 测试集 AUC: 0.6444, PRE: 0.2714, REC: 0.1260, MF1: 0.5368, ACC1: 0.1260, ACC0: 0.9425, Gmean: 0.3446
2025-05-09 20:50:20 - Epoch 36, val mf1: 0.5436, val ACC1: 0.1371, val ACC0: 0.9417, val Gmean: 0.3593 (best 0.5804)
2025-05-09 20:50:20 - Epoch 37 伪标签: 正样本: 229 (50.1%), 负样本: 228 (49.9%)
2025-05-09 20:50:20 - Epoch 37, 测试集 AUC: 0.6482, PRE: 0.2700, REC: 0.1325, MF1: 0.5390, ACC1: 0.1325, ACC0: 0.9391, Gmean: 0.3528
2025-05-09 20:50:20 - Epoch 37, val mf1: 0.5464, val ACC1: 0.1453, val ACC0: 0.9379, val Gmean: 0.3692 (best 0.5804)
2025-05-09 20:50:20 - Epoch 38 伪标签: 正样本: 228 (49.9%), 负样本: 229 (50.1%)
2025-05-09 20:50:21 - Epoch 38, 测试集 AUC: 0.6530, PRE: 0.2692, REC: 0.1483, MF1: 0.5443, ACC1: 0.1483, ACC0: 0.9315, Gmean: 0.3717
2025-05-09 20:50:21 - Epoch 38, val mf1: 0.5489, val ACC1: 0.1582, val ACC0: 0.9292, val Gmean: 0.3834 (best 0.5804)
2025-05-09 20:50:21 - Epoch 39 伪标签: 正样本: 229 (50.1%), 负样本: 228 (49.9%)
2025-05-09 20:50:21 - Epoch 39, 测试集 AUC: 0.6591, PRE: 0.2664, REC: 0.1587, MF1: 0.5469, ACC1: 0.1587, ACC0: 0.9257, Gmean: 0.3833
2025-05-09 20:50:21 - Epoch 39, val mf1: 0.5512, val ACC1: 0.1683, val ACC0: 0.9235, val Gmean: 0.3942 (best 0.5804)
2025-05-09 20:50:22 - Epoch 40 伪标签: 正样本: 217 (47.5%), 负样本: 240 (52.5%)
2025-05-09 20:50:22 - Epoch 40, 有标签损失: 0.0014, 一致性损失: 0.0000, 伪标签损失: 0.8644, LPL损失: 92.3913, 聚类损失: 2.0093, 总损失: 2.0767
2025-05-09 20:50:22 - Epoch 40, 测试集 AUC: 0.6659, PRE: 0.2712, REC: 0.1669, MF1: 0.5506, ACC1: 0.1669, ACC0: 0.9238, Gmean: 0.3926
2025-05-09 20:50:22 - Epoch 40, val mf1: 0.5540, val ACC1: 0.1751, val ACC0: 0.9215, val Gmean: 0.4018 (best 0.5804)
2025-05-09 20:50:22 - Epoch 41 伪标签: 正样本: 224 (49.0%), 负样本: 233 (51.0%)
2025-05-09 20:50:22 - Epoch 41, 测试集 AUC: 0.6731, PRE: 0.2767, REC: 0.1705, MF1: 0.5530, ACC1: 0.1705, ACC0: 0.9242, Gmean: 0.3969
2025-05-09 20:50:22 - Epoch 41, val mf1: 0.5564, val ACC1: 0.1779, val ACC0: 0.9228, val Gmean: 0.4052 (best 0.5804)
2025-05-09 20:50:23 - Epoch 42 伪标签: 正样本: 216 (47.3%), 负样本: 241 (52.7%)
2025-05-09 20:50:23 - Epoch 42, 测试集 AUC: 0.6801, PRE: 0.2862, REC: 0.1718, MF1: 0.5557, ACC1: 0.1718, ACC0: 0.9271, Gmean: 0.3991
2025-05-09 20:50:23 - Epoch 42, val mf1: 0.5573, val ACC1: 0.1761, val ACC0: 0.9258, val Gmean: 0.4037 (best 0.5804)
2025-05-09 20:50:23 - Epoch 43 伪标签: 正样本: 227 (49.7%), 负样本: 230 (50.3%)
2025-05-09 20:50:24 - Epoch 43, 测试集 AUC: 0.6869, PRE: 0.2920, REC: 0.1684, MF1: 0.5559, ACC1: 0.1684, ACC0: 0.9306, Gmean: 0.3959
2025-05-09 20:50:24 - Epoch 43, val mf1: 0.5590, val ACC1: 0.1751, val ACC0: 0.9291, val Gmean: 0.4034 (best 0.5804)
2025-05-09 20:50:24 - Epoch 44 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:50:24 - Epoch 44, 测试集 AUC: 0.6936, PRE: 0.2979, REC: 0.1759, MF1: 0.5597, ACC1: 0.1759, ACC0: 0.9295, Gmean: 0.4043
2025-05-09 20:50:24 - Epoch 44, val mf1: 0.5618, val ACC1: 0.1825, val ACC0: 0.9269, val Gmean: 0.4113 (best 0.5804)
2025-05-09 20:50:25 - Epoch 45 伪标签: 正样本: 233 (51.0%), 负样本: 224 (49.0%)
2025-05-09 20:50:25 - Epoch 45, 测试集 AUC: 0.7000, PRE: 0.3033, REC: 0.1944, MF1: 0.5668, ACC1: 0.1944, ACC0: 0.9241, Gmean: 0.4238
2025-05-09 20:50:25 - Epoch 45, val mf1: 0.5699, val ACC1: 0.2022, val ACC0: 0.9221, val Gmean: 0.4318 (best 0.5804)
2025-05-09 20:50:25 - Epoch 46 伪标签: 正样本: 228 (49.9%), 负样本: 229 (50.1%)
2025-05-09 20:50:26 - Epoch 46, 测试集 AUC: 0.7061, PRE: 0.3063, REC: 0.2233, MF1: 0.5759, ACC1: 0.2233, ACC0: 0.9140, Gmean: 0.4518
2025-05-09 20:50:26 - Epoch 46, val mf1: 0.5770, val ACC1: 0.2279, val ACC0: 0.9122, val Gmean: 0.4559 (best 0.5804)
2025-05-09 20:50:26 - Epoch 47 伪标签: 正样本: 218 (47.7%), 负样本: 239 (52.3%)
2025-05-09 20:50:26 - Epoch 47, 测试集 AUC: 0.7115, PRE: 0.3097, REC: 0.2626, MF1: 0.5866, ACC1: 0.2626, ACC0: 0.9005, Gmean: 0.4863
2025-05-09 20:50:26 - 更新最佳测试结果 (Epoch 47): AUC 0.7115, PRE 0.3097, REC 0.2626, MF1 0.5866, ACC1 0.2626, ACC0 0.9005, Gmean 0.4863
2025-05-09 20:50:26 - Epoch 47, val mf1: 0.5868, val ACC1: 0.2636, val ACC0: 0.9000, val Gmean: 0.4871 (best 0.5868)
2025-05-09 20:50:26 - Epoch 48 伪标签: 正样本: 230 (50.3%), 负样本: 227 (49.7%)
2025-05-09 20:50:27 - Epoch 48, 测试集 AUC: 0.7152, PRE: 0.3061, REC: 0.2847, MF1: 0.5900, ACC1: 0.2847, ACC0: 0.8903, Gmean: 0.5035
2025-05-09 20:50:27 - 更新最佳测试结果 (Epoch 48): AUC 0.7152, PRE 0.3061, REC 0.2847, MF1 0.5900, ACC1 0.2847, ACC0 0.8903, Gmean 0.5035
2025-05-09 20:50:27 - Epoch 48, val mf1: 0.5903, val ACC1: 0.2843, val ACC0: 0.8910, val Gmean: 0.5033 (best 0.5903)
2025-05-09 20:50:27 - Epoch 49 伪标签: 正样本: 236 (51.6%), 负样本: 221 (48.4%)
2025-05-09 20:50:27 - Epoch 49, 测试集 AUC: 0.7173, PRE: 0.3056, REC: 0.2922, MF1: 0.5913, ACC1: 0.2922, ACC0: 0.8872, Gmean: 0.5091
2025-05-09 20:50:27 - 更新最佳测试结果 (Epoch 49): AUC 0.7173, PRE 0.3056, REC 0.2922, MF1 0.5913, ACC1 0.2922, ACC0 0.8872, Gmean 0.5091
2025-05-09 20:50:27 - Epoch 49, val mf1: 0.5925, val ACC1: 0.2925, val ACC0: 0.8886, val Gmean: 0.5098 (best 0.5925)
2025-05-09 20:50:27 - time cost: 28.69 s
2025-05-09 20:50:27 - 基于验证集最佳模型的测试结果: REC 29.22 PRE 30.56 MF1 59.13 AUC 71.73 ACC1 29.22 ACC0 88.72 Gmean 50.91
2025-05-09 20:50:27 - 测试集上观察到的最佳结果 (Epoch 49): AUC 71.73 PRE 30.56 REC 29.22 MF1 59.13 ACC1 29.22 ACC0 88.72 Gmean 50.91
