2025-05-09 20:50:36 - 运行开始时间: 20250509_205036
2025-05-09 20:50:36 - 日志文件: logs/train_log_yelp_seed64_20250509_205036.txt
2025-05-09 20:50:36 - 有标签数据: 正样本数: 1, 负样本数: 1, 总数: 2
2025-05-09 20:50:36 - 无标签数据数量: 457
2025-05-09 20:50:36 - 训练集总数: 459, 验证集: 15013, 测试集: 30482
2025-05-09 20:50:36 - cross entropy weight: 1.000000 (不使用)
2025-05-09 20:50:36 - 伪标签策略：
2025-05-09 20:50:36 -   使用模型输出和聚类结果的融合
2025-05-09 20:50:37 - Epoch 0 伪标签: 正样本: 243 (53.2%), 负样本: 214 (46.8%)
2025-05-09 20:50:37 - 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 20:50:37 - 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 20:50:37 - 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 20:50:37 - Epoch 0, val mf1: 0.5498, val ACC1: 0.8024, val ACC0: 0.5839, val Gmean: 0.6845 (best 0.5498)
2025-05-09 20:50:38 - Epoch 1 伪标签: 正样本: 236 (51.6%), 负样本: 221 (48.4%)
2025-05-09 20:50:38 - 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 20:50:38 - Epoch 1, val mf1: 0.5621, val ACC1: 0.6602, val ACC0: 0.6561, val Gmean: 0.6582 (best 0.5621)
2025-05-09 20:50:38 - Epoch 2 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:50:39 - 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 20:50:39 - Epoch 2, val mf1: 0.5804, val ACC1: 0.4168, val ACC0: 0.7976, val Gmean: 0.5766 (best 0.5804)
2025-05-09 20:50:39 - Epoch 3 伪标签: 正样本: 226 (49.5%), 负样本: 231 (50.5%)
2025-05-09 20:50:39 - 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 20:50:39 - Epoch 3, val mf1: 0.5594, val ACC1: 0.1843, val ACC0: 0.9217, val Gmean: 0.4122 (best 0.5804)
2025-05-09 20:50:39 - Epoch 4 伪标签: 正样本: 237 (51.9%), 负样本: 220 (48.1%)
2025-05-09 20:50:40 - 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 20:50:40 - Epoch 4, val mf1: 0.5181, val ACC1: 0.0789, val ACC0: 0.9684, val Gmean: 0.2764 (best 0.5804)
2025-05-09 20:50:40 - Epoch 5 伪标签: 正样本: 237 (51.9%), 负样本: 220 (48.1%)
2025-05-09 20:50:40 - 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 20:50:40 - Epoch 5, val mf1: 0.5035, val ACC1: 0.0504, val ACC0: 0.9857, val Gmean: 0.2230 (best 0.5804)
2025-05-09 20:50:41 - Epoch 6 伪标签: 正样本: 225 (49.2%), 负样本: 232 (50.8%)
2025-05-09 20:50:41 - 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 20:50:41 - Epoch 6, val mf1: 0.5015, val ACC1: 0.0472, val ACC0: 0.9874, val Gmean: 0.2159 (best 0.5804)
2025-05-09 20:50:41 - Epoch 7 伪标签: 正样本: 230 (50.3%), 负样本: 227 (49.7%)
2025-05-09 20:50:42 - 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 20:50:42 - Epoch 7, val mf1: 0.5058, val ACC1: 0.0527, val ACC0: 0.9863, val Gmean: 0.2280 (best 0.5804)
2025-05-09 20:50:42 - Epoch 8 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:50:42 - 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 20:50:42 - Epoch 8, val mf1: 0.5039, val ACC1: 0.0509, val ACC0: 0.9856, val Gmean: 0.2240 (best 0.5804)
2025-05-09 20:50:42 - Epoch 9 伪标签: 正样本: 235 (51.4%), 负样本: 222 (48.6%)
2025-05-09 20:50:43 - 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 20:50:43 - Epoch 9, val mf1: 0.5014, val ACC1: 0.0481, val ACC0: 0.9853, val Gmean: 0.2178 (best 0.5804)
2025-05-09 20:50:43 - Epoch 10 伪标签: 正样本: 222 (48.6%), 负样本: 235 (51.4%)
2025-05-09 20:50:43 - 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 20:50:43 - 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 20:50:43 - Epoch 10, val mf1: 0.5021, val ACC1: 0.0495, val ACC0: 0.9843, val Gmean: 0.2208 (best 0.5804)
2025-05-09 20:50:44 - Epoch 11 伪标签: 正样本: 229 (50.1%), 负样本: 228 (49.9%)
2025-05-09 20:50:44 - 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 20:50:44 - Epoch 11, val mf1: 0.5024, val ACC1: 0.0518, val ACC0: 0.9808, val Gmean: 0.2254 (best 0.5804)
2025-05-09 20:50:44 - Epoch 12 伪标签: 正样本: 213 (46.6%), 负样本: 244 (53.4%)
2025-05-09 20:50:45 - 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 20:50:45 - Epoch 12, val mf1: 0.5081, val ACC1: 0.0605, val ACC0: 0.9774, val Gmean: 0.2432 (best 0.5804)
2025-05-09 20:50:45 - Epoch 13 伪标签: 正样本: 228 (49.9%), 负样本: 229 (50.1%)
2025-05-09 20:50:45 - 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 20:50:45 - Epoch 13, val mf1: 0.5098, val ACC1: 0.0651, val ACC0: 0.9733, val Gmean: 0.2517 (best 0.5804)
2025-05-09 20:50:45 - Epoch 14 伪标签: 正样本: 235 (51.4%), 负样本: 222 (48.6%)
2025-05-09 20:50:46 - 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 20:50:46 - Epoch 14, val mf1: 0.5120, val ACC1: 0.0706, val ACC0: 0.9692, val Gmean: 0.2616 (best 0.5804)
2025-05-09 20:50:46 - Epoch 15 伪标签: 正样本: 224 (49.0%), 负样本: 233 (51.0%)
2025-05-09 20:50:46 - 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 20:50:46 - Epoch 15, val mf1: 0.5143, val ACC1: 0.0747, val ACC0: 0.9673, val Gmean: 0.2689 (best 0.5804)
2025-05-09 20:50:46 - Epoch 16 伪标签: 正样本: 216 (47.3%), 负样本: 241 (52.7%)
2025-05-09 20:50:47 - 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 20:50:47 - Epoch 16, val mf1: 0.5128, val ACC1: 0.0729, val ACC0: 0.9673, val Gmean: 0.2655 (best 0.5804)
2025-05-09 20:50:47 - Epoch 17 伪标签: 正样本: 212 (46.4%), 负样本: 245 (53.6%)
2025-05-09 20:50:47 - 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 20:50:47 - Epoch 17, val mf1: 0.5112, val ACC1: 0.0697, val ACC0: 0.9689, val Gmean: 0.2599 (best 0.5804)
2025-05-09 20:50:48 - Epoch 18 伪标签: 正样本: 220 (48.1%), 负样本: 237 (51.9%)
2025-05-09 20:50:48 - 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 20:50:48 - Epoch 18, val mf1: 0.5073, val ACC1: 0.0642, val ACC0: 0.9699, val Gmean: 0.2495 (best 0.5804)
2025-05-09 20:50:48 - Epoch 19 伪标签: 正样本: 208 (45.5%), 负样本: 249 (54.5%)
2025-05-09 20:50:49 - 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 20:50:49 - Epoch 19, val mf1: 0.5163, val ACC1: 0.5841, val ACC0: 0.6146, val Gmean: 0.5992 (best 0.5804)
2025-05-09 20:50:49 - Epoch 20 伪标签: 正样本: 188 (41.1%), 负样本: 269 (58.9%)
2025-05-09 20:50:49 - 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 20:50:49 - 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 20:50:49 - Epoch 20, val mf1: 0.5336, val ACC1: 0.5016, val ACC0: 0.6800, val Gmean: 0.5840 (best 0.5804)
2025-05-09 20:50:50 - Epoch 21 伪标签: 正样本: 198 (43.3%), 负样本: 259 (56.7%)
2025-05-09 20:50:50 - 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 20:50:50 - Epoch 21, val mf1: 0.5442, val ACC1: 0.4480, val ACC0: 0.7241, val Gmean: 0.5695 (best 0.5804)
2025-05-09 20:50:50 - Epoch 22 伪标签: 正样本: 174 (38.1%), 负样本: 283 (61.9%)
2025-05-09 20:50:51 - 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 20:50:51 - Epoch 22, val mf1: 0.5483, val ACC1: 0.4204, val ACC0: 0.7453, val Gmean: 0.5598 (best 0.5804)
2025-05-09 20:50:51 - Epoch 23 伪标签: 正样本: 158 (34.6%), 负样本: 299 (65.4%)
2025-05-09 20:50:51 - 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 20:50:51 - Epoch 23, val mf1: 0.5496, val ACC1: 0.4104, val ACC0: 0.7530, val Gmean: 0.5559 (best 0.5804)
2025-05-09 20:50:51 - Epoch 24 伪标签: 正样本: 176 (38.5%), 负样本: 281 (61.5%)
2025-05-09 20:50:52 - 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 20:50:52 - Epoch 24, val mf1: 0.5478, val ACC1: 0.4182, val ACC0: 0.7457, val Gmean: 0.5584 (best 0.5804)
2025-05-09 20:50:52 - Epoch 25 伪标签: 正样本: 176 (38.5%), 负样本: 281 (61.5%)
2025-05-09 20:50:52 - Epoch 25, 测试集 AUC: 0.6277, PRE: 0.2153, REC: 0.4401, MF1: 0.5436, ACC1: 0.4401, ACC0: 0.7273, Gmean: 0.5657
2025-05-09 20:50:52 - Epoch 25, val mf1: 0.5412, val ACC1: 0.4351, val ACC0: 0.7259, val Gmean: 0.5620 (best 0.5804)
2025-05-09 20:50:52 - Epoch 26 伪标签: 正样本: 181 (39.6%), 负样本: 276 (60.4%)
2025-05-09 20:50:53 - Epoch 26, 测试集 AUC: 0.6261, PRE: 0.2067, REC: 0.4685, MF1: 0.5325, ACC1: 0.4685, ACC0: 0.6943, Gmean: 0.5703
2025-05-09 20:50:53 - Epoch 26, val mf1: 0.5327, val ACC1: 0.4640, val ACC0: 0.6969, val Gmean: 0.5687 (best 0.5804)
2025-05-09 20:50:53 - Epoch 27 伪标签: 正样本: 192 (42.0%), 负样本: 265 (58.0%)
2025-05-09 20:50:53 - Epoch 27, 测试集 AUC: 0.6254, PRE: 0.2575, REC: 0.1321, MF1: 0.5363, ACC1: 0.1321, ACC0: 0.9352, Gmean: 0.3515
2025-05-09 20:50:53 - Epoch 27, val mf1: 0.5371, val ACC1: 0.1343, val ACC0: 0.9341, val Gmean: 0.3543 (best 0.5804)
2025-05-09 20:50:53 - Epoch 28 伪标签: 正样本: 184 (40.3%), 负样本: 273 (59.7%)
2025-05-09 20:50:54 - Epoch 28, 测试集 AUC: 0.6257, PRE: 0.2518, REC: 0.1490, MF1: 0.5405, ACC1: 0.1490, ACC0: 0.9247, Gmean: 0.3712
2025-05-09 20:50:54 - Epoch 28, val mf1: 0.5410, val ACC1: 0.1504, val ACC0: 0.9242, val Gmean: 0.3728 (best 0.5804)
2025-05-09 20:50:54 - Epoch 29 伪标签: 正样本: 191 (41.8%), 负样本: 266 (58.2%)
2025-05-09 20:50:54 - Epoch 29, 测试集 AUC: 0.6267, PRE: 0.2547, REC: 0.1614, MF1: 0.5448, ACC1: 0.1614, ACC0: 0.9197, Gmean: 0.3853
2025-05-09 20:50:54 - Epoch 29, val mf1: 0.5451, val ACC1: 0.1641, val ACC0: 0.9177, val Gmean: 0.3881 (best 0.5804)
2025-05-09 20:50:55 - Epoch 30 伪标签: 正样本: 188 (41.1%), 负样本: 269 (58.9%)
2025-05-09 20:50:55 - Epoch 30, 有标签损失: 0.0003, 一致性损失: 0.0000, 伪标签损失: 0.9355, LPL损失: 104.4946, 聚类损失: 4.1143, 总损失: 1.9817
2025-05-09 20:50:55 - Epoch 30, 测试集 AUC: 0.6282, PRE: 0.2559, REC: 0.1653, MF1: 0.5462, ACC1: 0.1653, ACC0: 0.9183, Gmean: 0.3896
2025-05-09 20:50:55 - Epoch 30, val mf1: 0.5466, val ACC1: 0.1687, val ACC0: 0.9158, val Gmean: 0.3931 (best 0.5804)
2025-05-09 20:50:55 - Epoch 31 伪标签: 正样本: 179 (39.2%), 负样本: 278 (60.8%)
2025-05-09 20:50:56 - Epoch 31, 测试集 AUC: 0.6302, PRE: 0.2568, REC: 0.1619, MF1: 0.5455, ACC1: 0.1619, ACC0: 0.9204, Gmean: 0.3860
2025-05-09 20:50:56 - Epoch 31, val mf1: 0.5480, val ACC1: 0.1669, val ACC0: 0.9197, val Gmean: 0.3918 (best 0.5804)
2025-05-09 20:50:56 - Epoch 32 伪标签: 正样本: 197 (43.1%), 负样本: 260 (56.9%)
2025-05-09 20:50:56 - Epoch 32, 测试集 AUC: 0.6324, PRE: 0.2570, REC: 0.1515, MF1: 0.5425, ACC1: 0.1515, ACC0: 0.9255, Gmean: 0.3745
2025-05-09 20:50:56 - Epoch 32, val mf1: 0.5464, val ACC1: 0.1586, val ACC0: 0.9250, val Gmean: 0.3831 (best 0.5804)
2025-05-09 20:50:57 - Epoch 33 伪标签: 正样本: 191 (41.8%), 负样本: 266 (58.2%)
2025-05-09 20:50:57 - Epoch 33, 测试集 AUC: 0.6347, PRE: 0.2579, REC: 0.1384, MF1: 0.5386, ACC1: 0.1384, ACC0: 0.9323, Gmean: 0.3592
2025-05-09 20:50:57 - Epoch 33, val mf1: 0.5453, val ACC1: 0.1504, val ACC0: 0.9311, val Gmean: 0.3742 (best 0.5804)
2025-05-09 20:50:57 - Epoch 34 伪标签: 正样本: 178 (38.9%), 负样本: 279 (61.1%)
2025-05-09 20:50:58 - Epoch 34, 测试集 AUC: 0.6372, PRE: 0.2627, REC: 0.1260, MF1: 0.5352, ACC1: 0.1260, ACC0: 0.9399, Gmean: 0.3441
2025-05-09 20:50:58 - Epoch 34, val mf1: 0.5398, val ACC1: 0.1348, val ACC0: 0.9381, val Gmean: 0.3556 (best 0.5804)
2025-05-09 20:50:58 - Epoch 35 伪标签: 正样本: 184 (40.3%), 负样本: 273 (59.7%)
2025-05-09 20:50:58 - Epoch 35, 测试集 AUC: 0.6397, PRE: 0.2660, REC: 0.1242, MF1: 0.5351, ACC1: 0.1242, ACC0: 0.9417, Gmean: 0.3420
2025-05-09 20:50:58 - Epoch 35, val mf1: 0.5400, val ACC1: 0.1334, val ACC0: 0.9398, val Gmean: 0.3541 (best 0.5804)
2025-05-09 20:50:59 - Epoch 36 伪标签: 正样本: 175 (38.3%), 负样本: 282 (61.7%)
2025-05-09 20:50:59 - Epoch 36, 测试集 AUC: 0.6424, PRE: 0.2677, REC: 0.1307, MF1: 0.5379, ACC1: 0.1307, ACC0: 0.9392, Gmean: 0.3504
2025-05-09 20:50:59 - Epoch 36, val mf1: 0.5436, val ACC1: 0.1408, val ACC0: 0.9380, val Gmean: 0.3634 (best 0.5804)
2025-05-09 20:50:59 - Epoch 37 伪标签: 正样本: 177 (38.7%), 负样本: 280 (61.3%)
2025-05-09 20:51:00 - Epoch 37, 测试集 AUC: 0.6455, PRE: 0.2644, REC: 0.1398, MF1: 0.5404, ACC1: 0.1398, ACC0: 0.9339, Gmean: 0.3613
2025-05-09 20:51:00 - Epoch 37, val mf1: 0.5472, val ACC1: 0.1536, val ACC0: 0.9310, val Gmean: 0.3782 (best 0.5804)
2025-05-09 20:51:00 - Epoch 38 伪标签: 正样本: 206 (45.1%), 负样本: 251 (54.9%)
2025-05-09 20:51:00 - Epoch 38, 测试集 AUC: 0.6493, PRE: 0.2593, REC: 0.1614, MF1: 0.5460, ACC1: 0.1614, ACC0: 0.9216, Gmean: 0.3857
2025-05-09 20:51:00 - Epoch 38, val mf1: 0.5502, val ACC1: 0.1701, val ACC0: 0.9202, val Gmean: 0.3956 (best 0.5804)
2025-05-09 20:51:01 - Epoch 39 伪标签: 正样本: 194 (42.5%), 负样本: 263 (57.5%)
2025-05-09 20:51:01 - Epoch 39, 测试集 AUC: 0.6539, PRE: 0.2670, REC: 0.2048, MF1: 0.5593, ACC1: 0.2048, ACC0: 0.9044, Gmean: 0.4304
2025-05-09 20:51:01 - Epoch 39, val mf1: 0.5606, val ACC1: 0.2054, val ACC0: 0.9059, val Gmean: 0.4314 (best 0.5804)
2025-05-09 20:51:01 - Epoch 40 伪标签: 正样本: 209 (45.7%), 负样本: 248 (54.3%)
2025-05-09 20:51:02 - Epoch 40, 有标签损失: 0.0008, 一致性损失: 0.0000, 伪标签损失: 0.8222, LPL损失: 83.2390, 聚类损失: 2.3056, 总损失: 1.8823
2025-05-09 20:51:02 - Epoch 40, 测试集 AUC: 0.6596, PRE: 0.2690, REC: 0.2391, MF1: 0.5672, ACC1: 0.2391, ACC0: 0.8895, Gmean: 0.4612
2025-05-09 20:51:02 - Epoch 40, val mf1: 0.5676, val ACC1: 0.2384, val ACC0: 0.8906, val Gmean: 0.4608 (best 0.5804)
2025-05-09 20:51:02 - Epoch 41 伪标签: 正样本: 219 (47.9%), 负样本: 238 (52.1%)
2025-05-09 20:51:02 - Epoch 41, 测试集 AUC: 0.6661, PRE: 0.2700, REC: 0.2707, MF1: 0.5731, ACC1: 0.2707, ACC0: 0.8756, Gmean: 0.4869
2025-05-09 20:51:02 - Epoch 41, val mf1: 0.5713, val ACC1: 0.2655, val ACC0: 0.8766, val Gmean: 0.4824 (best 0.5804)
2025-05-09 20:51:02 - Epoch 42 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:51:03 - Epoch 42, 测试集 AUC: 0.6732, PRE: 0.2707, REC: 0.2942, MF1: 0.5768, ACC1: 0.2942, ACC0: 0.8653, Gmean: 0.5045
2025-05-09 20:51:03 - Epoch 42, val mf1: 0.5756, val ACC1: 0.2902, val ACC0: 0.8661, val Gmean: 0.5014 (best 0.5804)
2025-05-09 20:51:03 - Epoch 43 伪标签: 正样本: 224 (49.0%), 负样本: 233 (51.0%)
2025-05-09 20:51:03 - Epoch 43, 测试集 AUC: 0.6803, PRE: 0.2761, REC: 0.3170, MF1: 0.5824, ACC1: 0.3170, ACC0: 0.8587, Gmean: 0.5217
2025-05-09 20:51:03 - Epoch 43, val mf1: 0.5779, val ACC1: 0.3072, val ACC0: 0.8584, val Gmean: 0.5135 (best 0.5804)
2025-05-09 20:51:04 - Epoch 44 伪标签: 正样本: 230 (50.3%), 负样本: 227 (49.7%)
2025-05-09 20:51:04 - Epoch 44, 测试集 AUC: 0.6869, PRE: 0.2760, REC: 0.3274, MF1: 0.5836, ACC1: 0.3274, ACC0: 0.8540, Gmean: 0.5288
2025-05-09 20:51:04 - Epoch 44, val mf1: 0.5811, val ACC1: 0.3219, val ACC0: 0.8538, val Gmean: 0.5242 (best 0.5811)
2025-05-09 20:51:04 - Epoch 45 伪标签: 正样本: 234 (51.2%), 负样本: 223 (48.8%)
2025-05-09 20:51:04 - Epoch 45, 测试集 AUC: 0.6930, PRE: 0.2771, REC: 0.3389, MF1: 0.5855, ACC1: 0.3389, ACC0: 0.8497, Gmean: 0.5366
2025-05-09 20:51:04 - Epoch 45, val mf1: 0.5824, val ACC1: 0.3310, val ACC0: 0.8500, val Gmean: 0.5305 (best 0.5824)
2025-05-09 20:51:05 - Epoch 46 伪标签: 正样本: 230 (50.3%), 负样本: 227 (49.7%)
2025-05-09 20:51:05 - Epoch 46, 测试集 AUC: 0.6986, PRE: 0.2771, REC: 0.3455, MF1: 0.5862, ACC1: 0.3455, ACC0: 0.8468, Gmean: 0.5409
2025-05-09 20:51:05 - Epoch 46, val mf1: 0.5838, val ACC1: 0.3375, val ACC0: 0.8480, val Gmean: 0.5350 (best 0.5838)
2025-05-09 20:51:05 - Epoch 47 伪标签: 正样本: 233 (51.0%), 负样本: 224 (49.0%)
2025-05-09 20:51:06 - Epoch 47, 测试集 AUC: 0.7039, PRE: 0.2813, REC: 0.3680, MF1: 0.5908, ACC1: 0.3680, ACC0: 0.8401, Gmean: 0.5561
2025-05-09 20:51:06 - Epoch 47, val mf1: 0.5886, val ACC1: 0.3599, val ACC0: 0.8416, val Gmean: 0.5504 (best 0.5886)
2025-05-09 20:51:06 - Epoch 48 伪标签: 正样本: 230 (50.3%), 负样本: 227 (49.7%)
2025-05-09 20:51:06 - Epoch 48, 测试集 AUC: 0.7087, PRE: 0.2806, REC: 0.3942, MF1: 0.5928, ACC1: 0.3942, ACC0: 0.8282, Gmean: 0.5714
2025-05-09 20:51:06 - 更新最佳测试结果 (Epoch 48): AUC 0.7087, PRE 0.2806, REC 0.3942, MF1 0.5928, ACC1 0.3942, ACC0 0.8282, Gmean 0.5714
2025-05-09 20:51:06 - Epoch 48, val mf1: 0.5901, val ACC1: 0.3842, val ACC0: 0.8300, val Gmean: 0.5647 (best 0.5901)
2025-05-09 20:51:06 - Epoch 49 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:51:07 - Epoch 49, 测试集 AUC: 0.7126, PRE: 0.2799, REC: 0.4213, MF1: 0.5943, ACC1: 0.4213, ACC0: 0.8157, Gmean: 0.5862
2025-05-09 20:51:07 - 更新最佳测试结果 (Epoch 49): AUC 0.7126, PRE 0.2799, REC 0.4213, MF1 0.5943, ACC1 0.4213, ACC0 0.8157, Gmean 0.5862
2025-05-09 20:51:07 - Epoch 49, val mf1: 0.5941, val ACC1: 0.4168, val ACC0: 0.8179, val Gmean: 0.5838 (best 0.5941)
2025-05-09 20:51:07 - time cost: 30.34 s
2025-05-09 20:51:07 - 基于验证集最佳模型的测试结果: REC 42.13 PRE 27.99 MF1 59.43 AUC 71.26 ACC1 42.13 ACC0 81.57 Gmean 58.62
2025-05-09 20:51:07 - 测试集上观察到的最佳结果 (Epoch 49): AUC 71.26 PRE 27.99 REC 42.13 MF1 59.43 ACC1 42.13 ACC0 81.57 Gmean 58.62
