2025-05-09 20:51:22 - 运行开始时间: 20250509_205122
2025-05-09 20:51:22 - 日志文件: logs/train_log_yelp_seed64_20250509_205122.txt
2025-05-09 20:51:22 - 有标签数据: 正样本数: 1, 负样本数: 1, 总数: 2
2025-05-09 20:51:22 - 无标签数据数量: 457
2025-05-09 20:51:22 - 训练集总数: 459, 验证集: 15013, 测试集: 30482
2025-05-09 20:51:23 - cross entropy weight: 1.000000 (不使用)
2025-05-09 20:51:23 - 伪标签策略：
2025-05-09 20:51:23 -   使用模型输出和聚类结果的融合
2025-05-09 20:51:23 - Epoch 0 伪标签: 正样本: 243 (53.2%), 负样本: 214 (46.8%)
2025-05-09 20:51:23 - 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: 0.7135
2025-05-09 20:51:23 - Epoch 0, 测试集 AUC: 0.7065, PRE: 0.2463, REC: 0.7896, MF1: 0.5503, ACC1: 0.7896, ACC0: 0.5892, Gmean: 0.6821
2025-05-09 20:51:23 - 更新最佳测试结果 (Epoch 0): AUC 0.7065, PRE 0.2463, REC 0.7896, MF1 0.5503, ACC1 0.7896, ACC0 0.5892, Gmean 0.6821
2025-05-09 20:51:23 - Epoch 0, val mf1: 0.5493, val ACC1: 0.8061, val ACC0: 0.5819, val Gmean: 0.6849 (best 0.5493)
2025-05-09 20:51:24 - Epoch 1 伪标签: 正样本: 236 (51.6%), 负样本: 221 (48.4%)
2025-05-09 20:51:24 - Epoch 1, 测试集 AUC: 0.7037, PRE: 0.2423, REC: 0.6383, MF1: 0.5592, ACC1: 0.6383, ACC0: 0.6607, Gmean: 0.6494
2025-05-09 20:51:24 - Epoch 1, val mf1: 0.5612, val ACC1: 0.6566, val ACC0: 0.6562, val Gmean: 0.6564 (best 0.5612)
2025-05-09 20:51:24 - Epoch 2 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:51:25 - Epoch 2, 测试集 AUC: 0.7029, PRE: 0.2418, REC: 0.3242, MF1: 0.5645, ACC1: 0.3242, ACC0: 0.8272, Gmean: 0.5179
2025-05-09 20:51:25 - Epoch 2, val mf1: 0.5761, val ACC1: 0.3553, val ACC0: 0.8261, val Gmean: 0.5418 (best 0.5761)
2025-05-09 20:51:25 - Epoch 3 伪标签: 正样本: 226 (49.5%), 负样本: 231 (50.5%)
2025-05-09 20:51:25 - Epoch 3, 测试集 AUC: 0.7031, PRE: 0.2590, REC: 0.1158, MF1: 0.5307, ACC1: 0.1158, ACC0: 0.9437, Gmean: 0.3306
2025-05-09 20:51:25 - Epoch 3, val mf1: 0.5422, val ACC1: 0.1311, val ACC0: 0.9458, val Gmean: 0.3522 (best 0.5761)
2025-05-09 20:51:25 - Epoch 4 伪标签: 正样本: 233 (51.0%), 负样本: 224 (49.0%)
2025-05-09 20:51:26 - Epoch 4, 测试集 AUC: 0.7034, PRE: 0.3315, REC: 0.0406, MF1: 0.4950, ACC1: 0.0406, ACC0: 0.9861, Gmean: 0.2002
2025-05-09 20:51:26 - Epoch 4, val mf1: 0.4994, val ACC1: 0.0459, val ACC0: 0.9855, val Gmean: 0.2126 (best 0.5761)
2025-05-09 20:51:26 - Epoch 5 伪标签: 正样本: 238 (52.1%), 负样本: 219 (47.9%)
2025-05-09 20:51:26 - Epoch 5, 测试集 AUC: 0.7036, PRE: 0.3825, REC: 0.0246, MF1: 0.4832, ACC1: 0.0246, ACC0: 0.9932, Gmean: 0.1563
2025-05-09 20:51:26 - Epoch 5, val mf1: 0.4861, val ACC1: 0.0275, val ACC0: 0.9936, val Gmean: 0.1653 (best 0.5761)
2025-05-09 20:51:26 - Epoch 6 伪标签: 正样本: 221 (48.4%), 负样本: 236 (51.6%)
2025-05-09 20:51:27 - Epoch 6, 测试集 AUC: 0.7032, PRE: 0.4052, REC: 0.0246, MF1: 0.4834, ACC1: 0.0246, ACC0: 0.9939, Gmean: 0.1564
2025-05-09 20:51:27 - Epoch 6, val mf1: 0.4842, val ACC1: 0.0257, val ACC0: 0.9933, val Gmean: 0.1597 (best 0.5761)
2025-05-09 20:51:27 - Epoch 7 伪标签: 正样本: 230 (50.3%), 负样本: 227 (49.7%)
2025-05-09 20:51:27 - Epoch 7, 测试集 AUC: 0.7027, PRE: 0.4106, REC: 0.0280, MF1: 0.4863, ACC1: 0.0280, ACC0: 0.9932, Gmean: 0.1668
2025-05-09 20:51:27 - Epoch 7, val mf1: 0.4855, val ACC1: 0.0275, val ACC0: 0.9921, val Gmean: 0.1652 (best 0.5761)
2025-05-09 20:51:28 - Epoch 8 伪标签: 正样本: 234 (51.2%), 负样本: 223 (48.8%)
2025-05-09 20:51:28 - Epoch 8, 测试集 AUC: 0.7017, PRE: 0.3904, REC: 0.0330, MF1: 0.4902, ACC1: 0.0330, ACC0: 0.9912, Gmean: 0.1808
2025-05-09 20:51:28 - Epoch 8, val mf1: 0.4924, val ACC1: 0.0358, val ACC0: 0.9902, val Gmean: 0.1882 (best 0.5761)
2025-05-09 20:51:28 - Epoch 9 伪标签: 正样本: 232 (50.8%), 负样本: 225 (49.2%)
2025-05-09 20:51:29 - Epoch 9, 测试集 AUC: 0.6992, PRE: 0.3745, REC: 0.0391, MF1: 0.4948, ACC1: 0.0391, ACC0: 0.9889, Gmean: 0.1965
2025-05-09 20:51:29 - Epoch 9, val mf1: 0.4971, val ACC1: 0.0417, val ACC0: 0.9885, val Gmean: 0.2031 (best 0.5761)
2025-05-09 20:51:29 - Epoch 10 伪标签: 正样本: 226 (49.5%), 负样本: 231 (50.5%)
2025-05-09 20:51:29 - Epoch 10, 有标签损失: 0.4761, 一致性损失: 0.0000, 伪标签损失: 0.4962, LPL损失: 575.5348, 聚类损失: 1.3525, 总损失: 0.4761
2025-05-09 20:51:29 - Epoch 10, 测试集 AUC: 0.6944, PRE: 0.3562, REC: 0.0434, MF1: 0.4977, ACC1: 0.0434, ACC0: 0.9867, Gmean: 0.2068
2025-05-09 20:51:29 - Epoch 10, val mf1: 0.4977, val ACC1: 0.0436, val ACC0: 0.9861, val Gmean: 0.2073 (best 0.5761)
2025-05-09 20:51:29 - Epoch 11 伪标签: 正样本: 235 (51.4%), 负样本: 222 (48.6%)
2025-05-09 20:51:30 - Epoch 11, 测试集 AUC: 0.6862, PRE: 0.3577, REC: 0.0497, MF1: 0.5025, ACC1: 0.0497, ACC0: 0.9848, Gmean: 0.2212
2025-05-09 20:51:30 - Epoch 11, val mf1: 0.4985, val ACC1: 0.0459, val ACC0: 0.9835, val Gmean: 0.2124 (best 0.5761)
2025-05-09 20:51:30 - Epoch 12 伪标签: 正样本: 208 (45.5%), 负样本: 249 (54.5%)
2025-05-09 20:51:30 - Epoch 12, 测试集 AUC: 0.6744, PRE: 0.3379, REC: 0.0558, MF1: 0.5061, ACC1: 0.0558, ACC0: 0.9814, Gmean: 0.2340
2025-05-09 20:51:30 - Epoch 12, val mf1: 0.5022, val ACC1: 0.0518, val ACC0: 0.9804, val Gmean: 0.2254 (best 0.5761)
2025-05-09 20:51:30 - Epoch 13 伪标签: 正样本: 222 (48.6%), 负样本: 235 (51.4%)
2025-05-09 20:51:31 - Epoch 13, 测试集 AUC: 0.6604, PRE: 0.3200, REC: 0.0596, MF1: 0.5078, ACC1: 0.0596, ACC0: 0.9785, Gmean: 0.2415
2025-05-09 20:51:31 - Epoch 13, val mf1: 0.5036, val ACC1: 0.0550, val ACC0: 0.9777, val Gmean: 0.2319 (best 0.5761)
2025-05-09 20:51:31 - Epoch 14 伪标签: 正样本: 233 (51.0%), 负样本: 224 (49.0%)
2025-05-09 20:51:31 - Epoch 14, 测试集 AUC: 0.6449, PRE: 0.3116, REC: 0.0637, MF1: 0.5100, ACC1: 0.0637, ACC0: 0.9761, Gmean: 0.2493
2025-05-09 20:51:31 - Epoch 14, val mf1: 0.5064, val ACC1: 0.0601, val ACC0: 0.9749, val Gmean: 0.2420 (best 0.5761)
2025-05-09 20:51:32 - Epoch 15 伪标签: 正样本: 223 (48.8%), 负样本: 234 (51.2%)
2025-05-09 20:51:32 - Epoch 15, 测试集 AUC: 0.6295, PRE: 0.3047, REC: 0.0657, MF1: 0.5109, ACC1: 0.0657, ACC0: 0.9745, Gmean: 0.2530
2025-05-09 20:51:32 - Epoch 15, val mf1: 0.5051, val ACC1: 0.0601, val ACC0: 0.9722, val Gmean: 0.2416 (best 0.5761)
2025-05-09 20:51:32 - Epoch 16 伪标签: 正样本: 208 (45.5%), 负样本: 249 (54.5%)
2025-05-09 20:51:33 - Epoch 16, 测试集 AUC: 0.6156, PRE: 0.3003, REC: 0.0643, MF1: 0.5097, ACC1: 0.0643, ACC0: 0.9745, Gmean: 0.2504
2025-05-09 20:51:33 - Epoch 16, val mf1: 0.5046, val ACC1: 0.0591, val ACC0: 0.9726, val Gmean: 0.2399 (best 0.5761)
2025-05-09 20:51:33 - Epoch 17 伪标签: 正样本: 205 (44.9%), 负样本: 252 (55.1%)
2025-05-09 20:51:33 - Epoch 17, 测试集 AUC: 0.6038, PRE: 0.2941, REC: 0.0592, MF1: 0.5062, ACC1: 0.0592, ACC0: 0.9759, Gmean: 0.2403
2025-05-09 20:51:33 - Epoch 17, val mf1: 0.5017, val ACC1: 0.0546, val ACC0: 0.9745, val Gmean: 0.2306 (best 0.5761)
2025-05-09 20:51:33 - Epoch 18 伪标签: 正样本: 215 (47.0%), 负样本: 242 (53.0%)
2025-05-09 20:51:34 - Epoch 18, 测试集 AUC: 0.5945, PRE: 0.2929, REC: 0.0551, MF1: 0.5035, ACC1: 0.0551, ACC0: 0.9774, Gmean: 0.2320
2025-05-09 20:51:34 - Epoch 18, val mf1: 0.4981, val ACC1: 0.0495, val ACC0: 0.9758, val Gmean: 0.2198 (best 0.5761)
2025-05-09 20:51:34 - Epoch 19 伪标签: 正样本: 200 (43.8%), 负样本: 257 (56.2%)
2025-05-09 20:51:34 - Epoch 19, 测试集 AUC: 0.5871, PRE: 0.2979, REC: 0.0513, MF1: 0.5013, ACC1: 0.0513, ACC0: 0.9795, Gmean: 0.2241
2025-05-09 20:51:34 - Epoch 19, val mf1: 0.4963, val ACC1: 0.0468, val ACC0: 0.9769, val Gmean: 0.2137 (best 0.5761)
2025-05-09 20:51:34 - Epoch 20 伪标签: 正样本: 186 (40.7%), 负样本: 271 (59.3%)
2025-05-09 20:51:35 - Epoch 20, 有标签损失: 0.0132, 一致性损失: 0.0000, 伪标签损失: 0.8808, LPL损失: 102.5310, 聚类损失: 4.1298, 总损失: 0.0132
2025-05-09 20:51:35 - Epoch 20, 测试集 AUC: 0.5814, PRE: 0.1864, REC: 0.4134, MF1: 0.5151, ACC1: 0.4134, ACC0: 0.6933, Gmean: 0.5354
2025-05-09 20:51:35 - Epoch 20, val mf1: 0.5132, val ACC1: 0.4108, val ACC0: 0.6913, val Gmean: 0.5329 (best 0.5761)
2025-05-09 20:51:35 - Epoch 21 伪标签: 正样本: 191 (41.8%), 负样本: 266 (58.2%)
2025-05-09 20:51:35 - Epoch 21, 测试集 AUC: 0.5768, PRE: 0.1878, REC: 0.3450, MF1: 0.5234, ACC1: 0.3450, ACC0: 0.7464, Gmean: 0.5075
2025-05-09 20:51:35 - Epoch 21, val mf1: 0.5223, val ACC1: 0.3457, val ACC0: 0.7440, val Gmean: 0.5072 (best 0.5761)
2025-05-09 20:51:36 - Epoch 22 伪标签: 正样本: 167 (36.5%), 负样本: 290 (63.5%)
2025-05-09 20:51:36 - Epoch 22, 测试集 AUC: 0.5730, PRE: 0.1885, REC: 0.2922, MF1: 0.5269, ACC1: 0.2922, ACC0: 0.7861, Gmean: 0.4792
2025-05-09 20:51:36 - Epoch 22, val mf1: 0.5272, val ACC1: 0.2934, val ACC0: 0.7858, val Gmean: 0.4802 (best 0.5761)
2025-05-09 20:51:36 - Epoch 23 伪标签: 正样本: 155 (33.9%), 负样本: 302 (66.1%)
2025-05-09 20:51:37 - Epoch 23, 测试集 AUC: 0.5700, PRE: 0.1900, REC: 0.2517, MF1: 0.5287, ACC1: 0.2517, ACC0: 0.8176, Gmean: 0.4537
2025-05-09 20:51:37 - Epoch 23, val mf1: 0.5265, val ACC1: 0.2494, val ACC0: 0.8155, val Gmean: 0.4510 (best 0.5761)
2025-05-09 20:51:37 - Epoch 24 伪标签: 正样本: 168 (36.8%), 负样本: 289 (63.2%)
2025-05-09 20:51:37 - Epoch 24, 测试集 AUC: 0.5674, PRE: 0.1932, REC: 0.2226, MF1: 0.5299, ACC1: 0.2226, ACC0: 0.8420, Gmean: 0.4329
2025-05-09 20:51:37 - Epoch 24, val mf1: 0.5267, val ACC1: 0.2169, val ACC0: 0.8409, val Gmean: 0.4270 (best 0.5761)
2025-05-09 20:51:37 - Epoch 25 伪标签: 正样本: 158 (34.6%), 负样本: 299 (65.4%)
2025-05-09 20:51:38 - Epoch 25, 测试集 AUC: 0.5653, PRE: 0.1913, REC: 0.1926, MF1: 0.5270, ACC1: 0.1926, ACC0: 0.8616, Gmean: 0.4074
2025-05-09 20:51:38 - Epoch 25, val mf1: 0.5222, val ACC1: 0.1848, val ACC0: 0.8597, val Gmean: 0.3986 (best 0.5761)
2025-05-09 20:51:38 - Epoch 26 伪标签: 正样本: 169 (37.0%), 负样本: 288 (63.0%)
2025-05-09 20:51:38 - Epoch 26, 测试集 AUC: 0.5635, PRE: 0.1893, REC: 0.1709, MF1: 0.5240, ACC1: 0.1709, ACC0: 0.8756, Gmean: 0.3869
2025-05-09 20:51:38 - Epoch 26, val mf1: 0.5185, val ACC1: 0.1619, val ACC0: 0.8741, val Gmean: 0.3761 (best 0.5761)
2025-05-09 20:51:39 - Epoch 27 伪标签: 正样本: 173 (37.9%), 负样本: 284 (62.1%)
2025-05-09 20:51:39 - Epoch 27, 测试集 AUC: 0.5620, PRE: 0.1888, REC: 0.1553, MF1: 0.5219, ACC1: 0.1553, ACC0: 0.8865, Gmean: 0.3711
2025-05-09 20:51:39 - Epoch 27, val mf1: 0.5155, val ACC1: 0.1453, val ACC0: 0.8846, val Gmean: 0.3586 (best 0.5761)
2025-05-09 20:51:39 - Epoch 28 伪标签: 正样本: 148 (32.4%), 负样本: 309 (67.6%)
2025-05-09 20:51:40 - Epoch 28, 测试集 AUC: 0.5606, PRE: 0.1855, REC: 0.1409, MF1: 0.5185, ACC1: 0.1409, ACC0: 0.8948, Gmean: 0.3551
2025-05-09 20:51:40 - Epoch 28, val mf1: 0.5135, val ACC1: 0.1330, val ACC0: 0.8938, val Gmean: 0.3447 (best 0.5761)
2025-05-09 20:51:40 - Epoch 29 伪标签: 正样本: 162 (35.4%), 负样本: 295 (64.6%)
2025-05-09 20:51:40 - Epoch 29, 测试集 AUC: 0.5594, PRE: 0.1841, REC: 0.1294, MF1: 0.5161, ACC1: 0.1294, ACC0: 0.9025, Gmean: 0.3417
2025-05-09 20:51:40 - Epoch 29, val mf1: 0.5115, val ACC1: 0.1224, val ACC0: 0.9015, val Gmean: 0.3322 (best 0.5761)
2025-05-09 20:51:40 - Epoch 30 伪标签: 正样本: 150 (32.8%), 负样本: 307 (67.2%)
2025-05-09 20:51:40 - Epoch 30, 有标签损失: 0.0000, 一致性损失: 0.0000, 伪标签损失: 0.9343, LPL损失: 230.9987, 聚类损失: 10.9173, 总损失: 0.0000
2025-05-09 20:51:41 - Epoch 30, 测试集 AUC: 0.5583, PRE: 0.1827, REC: 0.1199, MF1: 0.5139, ACC1: 0.1199, ACC0: 0.9088, Gmean: 0.3301
2025-05-09 20:51:41 - Epoch 30, val mf1: 0.5077, val ACC1: 0.1114, val ACC0: 0.9067, val Gmean: 0.3178 (best 0.5761)
2025-05-09 20:51:41 - Epoch 31 伪标签: 正样本: 137 (30.0%), 负样本: 320 (70.0%)
2025-05-09 20:51:41 - Epoch 31, 测试集 AUC: 0.5573, PRE: 0.1829, REC: 0.1129, MF1: 0.5125, ACC1: 0.1129, ACC0: 0.9143, Gmean: 0.3213
2025-05-09 20:51:41 - Epoch 31, val mf1: 0.5058, val ACC1: 0.1032, val ACC0: 0.9128, val Gmean: 0.3069 (best 0.5761)
2025-05-09 20:51:41 - Epoch 32 伪标签: 正样本: 162 (35.4%), 负样本: 295 (64.6%)
2025-05-09 20:51:42 - Epoch 32, 测试集 AUC: 0.5565, PRE: 0.1713, REC: 0.3265, MF1: 0.5086, ACC1: 0.3265, ACC0: 0.7314, Gmean: 0.4887
2025-05-09 20:51:42 - Epoch 32, val mf1: 0.5073, val ACC1: 0.3205, val ACC0: 0.7329, val Gmean: 0.4846 (best 0.5761)
2025-05-09 20:51:42 - Epoch 33 伪标签: 正样本: 143 (31.3%), 负样本: 314 (68.7%)
2025-05-09 20:51:42 - Epoch 33, 测试集 AUC: 0.5557, PRE: 0.1703, REC: 0.3075, MF1: 0.5096, ACC1: 0.3075, ACC0: 0.7453, Gmean: 0.4787
2025-05-09 20:51:42 - Epoch 33, val mf1: 0.5100, val ACC1: 0.3081, val ACC0: 0.7456, val Gmean: 0.4793 (best 0.5761)
2025-05-09 20:51:42 - Epoch 34 伪标签: 正样本: 133 (29.1%), 负样本: 324 (70.9%)
2025-05-09 20:51:43 - Epoch 34, 测试集 AUC: 0.5549, PRE: 0.1697, REC: 0.2910, MF1: 0.5107, ACC1: 0.2910, ACC0: 0.7580, Gmean: 0.4697
2025-05-09 20:51:43 - Epoch 34, val mf1: 0.5120, val ACC1: 0.2944, val ACC0: 0.7581, val Gmean: 0.4724 (best 0.5761)
2025-05-09 20:51:43 - Epoch 35 伪标签: 正样本: 151 (33.0%), 负样本: 306 (67.0%)
2025-05-09 20:51:43 - Epoch 35, 测试集 AUC: 0.5543, PRE: 0.1719, REC: 0.2809, MF1: 0.5135, ACC1: 0.2809, ACC0: 0.7700, Gmean: 0.4650
2025-05-09 20:51:43 - Epoch 35, val mf1: 0.5128, val ACC1: 0.2788, val ACC0: 0.7700, val Gmean: 0.4633 (best 0.5761)
2025-05-09 20:51:43 - Epoch 36 伪标签: 正样本: 141 (30.9%), 负样本: 316 (69.1%)
2025-05-09 20:51:44 - Epoch 36, 测试集 AUC: 0.5537, PRE: 0.1721, REC: 0.2685, MF1: 0.5146, ACC1: 0.2685, ACC0: 0.7804, Gmean: 0.4577
2025-05-09 20:51:44 - Epoch 36, val mf1: 0.5127, val ACC1: 0.2659, val ACC0: 0.7788, val Gmean: 0.4551 (best 0.5761)
2025-05-09 20:51:44 - Epoch 37 伪标签: 正样本: 135 (29.5%), 负样本: 322 (70.5%)
2025-05-09 20:51:44 - Epoch 37, 测试集 AUC: 0.5531, PRE: 0.1719, REC: 0.2569, MF1: 0.5151, ACC1: 0.2569, ACC0: 0.7896, Gmean: 0.4504
2025-05-09 20:51:44 - Epoch 37, val mf1: 0.5113, val ACC1: 0.2513, val ACC0: 0.7868, val Gmean: 0.4446 (best 0.5761)
2025-05-09 20:51:45 - Epoch 38 伪标签: 正样本: 148 (32.4%), 负样本: 309 (67.6%)
2025-05-09 20:51:45 - Epoch 38, 测试集 AUC: 0.5526, PRE: 0.1724, REC: 0.2477, MF1: 0.5160, ACC1: 0.2477, ACC0: 0.7979, Gmean: 0.4445
2025-05-09 20:51:45 - Epoch 38, val mf1: 0.5126, val ACC1: 0.2439, val ACC0: 0.7944, val Gmean: 0.4402 (best 0.5761)
2025-05-09 20:51:45 - Epoch 39 伪标签: 正样本: 135 (29.5%), 负样本: 322 (70.5%)
2025-05-09 20:51:46 - Epoch 39, 测试集 AUC: 0.5522, PRE: 0.1720, REC: 0.2393, MF1: 0.5160, ACC1: 0.2393, ACC0: 0.8041, Gmean: 0.4387
2025-05-09 20:51:46 - Epoch 39, val mf1: 0.5141, val ACC1: 0.2393, val ACC0: 0.8007, val Gmean: 0.4378 (best 0.5761)
2025-05-09 20:51:46 - Epoch 40 伪标签: 正样本: 145 (31.7%), 负样本: 312 (68.3%)
2025-05-09 20:51:46 - Epoch 40, 有标签损失: 0.0000, 一致性损失: 0.0000, 伪标签损失: 0.9216, LPL损失: 189.9713, 聚类损失: 15.5828, 总损失: 0.0000
2025-05-09 20:51:46 - Epoch 40, 测试集 AUC: 0.5518, PRE: 0.1710, REC: 0.2303, MF1: 0.5155, ACC1: 0.2303, ACC0: 0.8102, Gmean: 0.4319
2025-05-09 20:51:46 - Epoch 40, val mf1: 0.5136, val ACC1: 0.2293, val ACC0: 0.8075, val Gmean: 0.4303 (best 0.5761)
2025-05-09 20:51:46 - Epoch 41 伪标签: 正样本: 140 (30.6%), 负样本: 317 (69.4%)
2025-05-09 20:51:47 - Epoch 41, 测试集 AUC: 0.5514, PRE: 0.1708, REC: 0.2240, MF1: 0.5155, ACC1: 0.2240, ACC0: 0.8151, Gmean: 0.4273
2025-05-09 20:51:47 - Epoch 41, val mf1: 0.5119, val ACC1: 0.2192, val ACC0: 0.8122, val Gmean: 0.4219 (best 0.5761)
2025-05-09 20:51:47 - Epoch 42 伪标签: 正样本: 164 (35.9%), 负样本: 293 (64.1%)
2025-05-09 20:51:47 - Epoch 42, 测试集 AUC: 0.5511, PRE: 0.1713, REC: 0.2197, MF1: 0.5160, ACC1: 0.2197, ACC0: 0.8193, Gmean: 0.4243
2025-05-09 20:51:47 - Epoch 42, val mf1: 0.5123, val ACC1: 0.2141, val ACC0: 0.8170, val Gmean: 0.4183 (best 0.5761)
2025-05-09 20:51:47 - Epoch 43 伪标签: 正样本: 150 (32.8%), 负样本: 307 (67.2%)
2025-05-09 20:51:48 - Epoch 43, 测试集 AUC: 0.5508, PRE: 0.1717, REC: 0.2149, MF1: 0.5163, ACC1: 0.2149, ACC0: 0.8237, Gmean: 0.4208
2025-05-09 20:51:48 - Epoch 43, val mf1: 0.5122, val ACC1: 0.2086, val ACC0: 0.8213, val Gmean: 0.4139 (best 0.5761)
2025-05-09 20:51:48 - Epoch 44 伪标签: 正样本: 144 (31.5%), 负样本: 313 (68.5%)
2025-05-09 20:51:48 - Epoch 44, 测试集 AUC: 0.5505, PRE: 0.1715, REC: 0.2111, MF1: 0.5162, ACC1: 0.2111, ACC0: 0.8266, Gmean: 0.4177
2025-05-09 20:51:48 - Epoch 44, val mf1: 0.5112, val ACC1: 0.2031, val ACC0: 0.8240, val Gmean: 0.4091 (best 0.5761)
2025-05-09 20:51:48 - Epoch 45 伪标签: 正样本: 142 (31.1%), 负样本: 315 (68.9%)
2025-05-09 20:51:49 - Epoch 45, 测试集 AUC: 0.5503, PRE: 0.1726, REC: 0.2086, MF1: 0.5170, ACC1: 0.2086, ACC0: 0.8300, Gmean: 0.4161
2025-05-09 20:51:49 - Epoch 45, val mf1: 0.5113, val ACC1: 0.1990, val ACC0: 0.8275, val Gmean: 0.4058 (best 0.5761)
2025-05-09 20:51:49 - Epoch 46 伪标签: 正样本: 137 (30.0%), 负样本: 320 (70.0%)
2025-05-09 20:51:49 - Epoch 46, 测试集 AUC: 0.5501, PRE: 0.1725, REC: 0.2055, MF1: 0.5169, ACC1: 0.2055, ACC0: 0.8325, Gmean: 0.4136
2025-05-09 20:51:49 - Epoch 46, val mf1: 0.5106, val ACC1: 0.1944, val ACC0: 0.8300, val Gmean: 0.4017 (best 0.5761)
2025-05-09 20:51:50 - Epoch 47 伪标签: 正样本: 137 (30.0%), 负样本: 320 (70.0%)
2025-05-09 20:51:50 - Epoch 47, 测试集 AUC: 0.5498, PRE: 0.1722, REC: 0.2014, MF1: 0.5166, ACC1: 0.2014, ACC0: 0.8354, Gmean: 0.4102
2025-05-09 20:51:50 - Epoch 47, val mf1: 0.5105, val ACC1: 0.1907, val ACC0: 0.8331, val Gmean: 0.3986 (best 0.5761)
2025-05-09 20:51:50 - Epoch 48 伪标签: 正样本: 150 (32.8%), 负样本: 307 (67.2%)
2025-05-09 20:51:51 - Epoch 48, 测试集 AUC: 0.5497, PRE: 0.1723, REC: 0.1985, MF1: 0.5167, ACC1: 0.1985, ACC0: 0.8379, Gmean: 0.4078
2025-05-09 20:51:51 - Epoch 48, val mf1: 0.5100, val ACC1: 0.1871, val ACC0: 0.8352, val Gmean: 0.3953 (best 0.5761)
2025-05-09 20:51:51 - Epoch 49 伪标签: 正样本: 144 (31.5%), 负样本: 313 (68.5%)
2025-05-09 20:51:51 - Epoch 49, 测试集 AUC: 0.5495, PRE: 0.1722, REC: 0.1960, MF1: 0.5166, ACC1: 0.1960, ACC0: 0.8399, Gmean: 0.4057
2025-05-09 20:51:51 - Epoch 49, val mf1: 0.5099, val ACC1: 0.1852, val ACC0: 0.8367, val Gmean: 0.3937 (best 0.5761)
2025-05-09 20:51:51 - time cost: 28.48 s
2025-05-09 20:51:51 - 基于验证集最佳模型的测试结果: REC 32.42 PRE 24.18 MF1 56.45 AUC 70.29 ACC1 32.42 ACC0 82.72 Gmean 51.79
2025-05-09 20:51:51 - 测试集上观察到的最佳结果 (Epoch 0): AUC 70.65 PRE 24.63 REC 78.96 MF1 55.03 ACC1 78.96 ACC0 58.92 Gmean 68.21
