2025-05-08 21:33:48 - 运行开始时间: 20250508_213348
2025-05-08 21:33:48 - 日志文件: logs/train_log_yelp_seed64_20250508_213348.txt
2025-05-08 21:33:48 - 有标签数据: 正样本数: 1, 负样本数: 1, 总数: 2
2025-05-08 21:33:48 - 无标签数据数量: 18379
2025-05-08 21:33:48 - 训练集总数: 18381, 验证集: 9099, 测试集: 18474
2025-05-08 21:33:49 - cross entropy weight: 1.000000 (不使用)
2025-05-08 21:33:49 - 伪标签策略：
2025-05-08 21:33:49 -   使用模型输出和聚类结果的融合
2025-05-08 21:33:49 - Epoch 0 伪标签: 正样本: 9473 (51.5%), 负样本: 8906 (48.5%)
2025-05-08 21:33:50 - Epoch 0, 有标签损失: 0.6755, 一致性损失: 0.0016, 伪标签损失: 0.4180, LPL损失: 43.5099, 聚类损失: 0.8506, 总损失: 1.2912
2025-05-08 21:33:50 - Epoch 0, 测试集 AUC: 0.6529, PRE: 0.0000, REC: 0.0000, MF1: 0.4608, ACC1: 0.0000, ACC0: 1.0000, Gmean: 0.0000
2025-05-08 21:33:50 - 更新最佳测试结果 (Epoch 0): AUC 0.6529, PRE 0.0000, REC 0.0000, MF1 0.4608, ACC1 0.0000, ACC0 1.0000, Gmean 0.0000
2025-05-08 21:33:50 - Epoch 0, val mf1: 0.4608, val ACC1: 0.0000, val ACC0: 1.0000, val Gmean: 0.0000 (best 0.4608)
2025-05-08 21:33:51 - Epoch 1 伪标签: 正样本: 9228 (50.2%), 负样本: 9151 (49.8%)
2025-05-08 21:33:51 - Epoch 1, 测试集 AUC: 0.6657, PRE: 0.2256, REC: 0.7671, MF1: 0.5213, ACC1: 0.7671, ACC0: 0.5524, Gmean: 0.6510
2025-05-08 21:33:51 - 更新最佳测试结果 (Epoch 1): AUC 0.6657, PRE 0.2256, REC 0.7671, MF1 0.5213, ACC1 0.7671, ACC0 0.5524, Gmean 0.6510
2025-05-08 21:33:51 - Epoch 1, val mf1: 0.5270, val ACC1: 0.7859, val ACC0: 0.5547, val Gmean: 0.6603 (best 0.5270)
2025-05-08 21:33:52 - Epoch 2 伪标签: 正样本: 8841 (48.1%), 负样本: 9538 (51.9%)
2025-05-08 21:33:52 - Epoch 2, 测试集 AUC: 0.6570, PRE: 0.2109, REC: 0.2891, MF1: 0.5433, ACC1: 0.2891, ACC0: 0.8161, Gmean: 0.4858
2025-05-08 21:33:52 - Epoch 2, val mf1: 0.5589, val ACC1: 0.3192, val ACC0: 0.8217, val Gmean: 0.5121 (best 0.5589)
2025-05-08 21:33:52 - Epoch 3 伪标签: 正样本: 8792 (47.8%), 负样本: 9587 (52.2%)
2025-05-08 21:33:53 - Epoch 3, 测试集 AUC: 0.6320, PRE: 0.2130, REC: 0.3320, MF1: 0.5452, ACC1: 0.3320, ACC0: 0.7915, Gmean: 0.5126
2025-05-08 21:33:53 - Epoch 3, val mf1: 0.5556, val ACC1: 0.3472, val ACC0: 0.7990, val Gmean: 0.5267 (best 0.5589)
2025-05-08 21:33:53 - Epoch 4 伪标签: 正样本: 8324 (45.3%), 负样本: 10055 (54.7%)
2025-05-08 21:33:54 - Epoch 4, 测试集 AUC: 0.5761, PRE: 0.1925, REC: 0.2757, MF1: 0.5303, ACC1: 0.2757, ACC0: 0.8034, Gmean: 0.4706
2025-05-08 21:33:54 - Epoch 4, val mf1: 0.5448, val ACC1: 0.3003, val ACC0: 0.8111, val Gmean: 0.4935 (best 0.5589)
2025-05-08 21:33:54 - Epoch 5 伪标签: 正样本: 7849 (42.7%), 负样本: 10530 (57.3%)
2025-05-08 21:33:55 - Epoch 5, 测试集 AUC: 0.5158, PRE: 0.1688, REC: 0.2235, MF1: 0.5142, ACC1: 0.2235, ACC0: 0.8129, Gmean: 0.4263
2025-05-08 21:33:55 - Epoch 5, val mf1: 0.5286, val ACC1: 0.2466, val ACC0: 0.8213, val Gmean: 0.4500 (best 0.5589)
2025-05-08 21:33:55 - Epoch 6 伪标签: 正样本: 7503 (40.8%), 负样本: 10876 (59.2%)
2025-05-08 21:33:55 - Epoch 6, 测试集 AUC: 0.4746, PRE: 0.1469, REC: 0.1993, MF1: 0.4987, ACC1: 0.1993, ACC0: 0.8032, Gmean: 0.4001
2025-05-08 21:33:55 - Epoch 6, val mf1: 0.5130, val ACC1: 0.2231, val ACC0: 0.8111, val Gmean: 0.4254 (best 0.5589)
2025-05-08 21:33:56 - Epoch 7 伪标签: 正样本: 7487 (40.7%), 负样本: 10892 (59.3%)
2025-05-08 21:33:56 - Epoch 7, 测试集 AUC: 0.4501, PRE: 0.1468, REC: 0.0771, MF1: 0.4946, ACC1: 0.0771, ACC0: 0.9238, Gmean: 0.2669
2025-05-08 21:33:56 - Epoch 7, val mf1: 0.5066, val ACC1: 0.0938, val ACC0: 0.9262, val Gmean: 0.2947 (best 0.5589)
2025-05-08 21:33:56 - Epoch 8 伪标签: 正样本: 7589 (41.3%), 负样本: 10790 (58.7%)
2025-05-08 21:33:57 - Epoch 8, 测试集 AUC: 0.4474, PRE: 0.1491, REC: 0.0697, MF1: 0.4935, ACC1: 0.0697, ACC0: 0.9324, Gmean: 0.2549
2025-05-08 21:33:57 - Epoch 8, val mf1: 0.5071, val ACC1: 0.0877, val ACC0: 0.9352, val Gmean: 0.2865 (best 0.5589)
2025-05-08 21:33:57 - Epoch 9 伪标签: 正样本: 7858 (42.8%), 负样本: 10521 (57.2%)
2025-05-08 21:33:58 - Epoch 9, 测试集 AUC: 0.4602, PRE: 0.1665, REC: 0.0682, MF1: 0.4969, ACC1: 0.0682, ACC0: 0.9420, Gmean: 0.2534
2025-05-08 21:33:58 - Epoch 9, val mf1: 0.5094, val ACC1: 0.0847, val ACC0: 0.9437, val Gmean: 0.2828 (best 0.5589)
2025-05-08 21:33:58 - Epoch 10 伪标签: 正样本: 8315 (45.2%), 负样本: 10064 (54.8%)
2025-05-08 21:33:59 - Epoch 10, 有标签损失: 0.0012, 一致性损失: 0.0166, 伪标签损失: 0.8781, LPL损失: 27.6515, 聚类损失: 1.8863, 总损失: 0.1426
2025-05-08 21:33:59 - Epoch 10, 测试集 AUC: 0.4894, PRE: 0.1779, REC: 0.0630, MF1: 0.4970, ACC1: 0.0630, ACC0: 0.9505, Gmean: 0.2446
2025-05-08 21:33:59 - Epoch 10, val mf1: 0.5060, val ACC1: 0.0741, val ACC0: 0.9520, val Gmean: 0.2657 (best 0.5589)
2025-05-08 21:33:59 - Epoch 11 伪标签: 正样本: 9075 (49.4%), 负样本: 9304 (50.6%)
2025-05-08 21:34:00 - Epoch 11, 测试集 AUC: 0.5146, PRE: 0.1747, REC: 0.0637, MF1: 0.4968, ACC1: 0.0637, ACC0: 0.9488, Gmean: 0.2459
2025-05-08 21:34:00 - Epoch 11, val mf1: 0.5071, val ACC1: 0.0756, val ACC0: 0.9520, val Gmean: 0.2684 (best 0.5589)
2025-05-08 21:34:00 - Epoch 12 伪标签: 正样本: 9364 (50.9%), 负样本: 9015 (49.1%)
2025-05-08 21:34:00 - Epoch 12, 测试集 AUC: 0.5101, PRE: 0.1663, REC: 0.0637, MF1: 0.4954, ACC1: 0.0637, ACC0: 0.9457, Gmean: 0.2455
2025-05-08 21:34:00 - Epoch 12, val mf1: 0.5051, val ACC1: 0.0749, val ACC0: 0.9492, val Gmean: 0.2666 (best 0.5589)
2025-05-08 21:34:01 - Epoch 13 伪标签: 正样本: 9743 (53.0%), 负样本: 8636 (47.0%)
2025-05-08 21:34:01 - Epoch 13, 测试集 AUC: 0.5116, PRE: 0.1671, REC: 0.0723, MF1: 0.4982, ACC1: 0.0723, ACC0: 0.9388, Gmean: 0.2605
2025-05-08 21:34:01 - Epoch 13, val mf1: 0.5086, val ACC1: 0.0847, val ACC0: 0.9421, val Gmean: 0.2825 (best 0.5589)
2025-05-08 21:34:01 - Epoch 14 伪标签: 正样本: 9506 (51.7%), 负样本: 8873 (48.3%)
2025-05-08 21:34:02 - Epoch 14, 测试集 AUC: 0.5035, PRE: 0.1693, REC: 0.0797, MF1: 0.5009, ACC1: 0.0797, ACC0: 0.9335, Gmean: 0.2728
2025-05-08 21:34:02 - Epoch 14, val mf1: 0.5107, val ACC1: 0.0915, val ACC0: 0.9371, val Gmean: 0.2929 (best 0.5589)
2025-05-08 21:34:02 - Epoch 15 伪标签: 正样本: 9551 (52.0%), 负样本: 8828 (48.0%)
2025-05-08 21:34:03 - Epoch 15, 测试集 AUC: 0.4938, PRE: 0.1613, REC: 0.0835, MF1: 0.4999, ACC1: 0.0835, ACC0: 0.9262, Gmean: 0.2780
2025-05-08 21:34:03 - Epoch 15, val mf1: 0.5083, val ACC1: 0.0938, val ACC0: 0.9295, val Gmean: 0.2953 (best 0.5589)
2025-05-08 21:34:03 - Epoch 16 伪标签: 正样本: 9338 (50.8%), 负样本: 9041 (49.2%)
2025-05-08 21:34:04 - Epoch 16, 测试集 AUC: 0.4923, PRE: 0.1678, REC: 0.0749, MF1: 0.4992, ACC1: 0.0749, ACC0: 0.9369, Gmean: 0.2649
2025-05-08 21:34:04 - Epoch 16, val mf1: 0.5054, val ACC1: 0.0809, val ACC0: 0.9410, val Gmean: 0.2760 (best 0.5589)
2025-05-08 21:34:04 - Epoch 17 伪标签: 正样本: 9293 (50.6%), 负样本: 9086 (49.4%)
2025-05-08 21:34:05 - Epoch 17, 测试集 AUC: 0.4856, PRE: 0.1432, REC: 0.3104, MF1: 0.4779, ACC1: 0.3104, ACC0: 0.6844, Gmean: 0.4609
2025-05-08 21:34:05 - Epoch 17, val mf1: 0.4964, val ACC1: 0.3419, val ACC0: 0.7000, val Gmean: 0.4892 (best 0.5589)
2025-05-08 21:34:05 - Epoch 18 伪标签: 正样本: 9086 (49.4%), 负样本: 9293 (50.6%)
2025-05-08 21:34:05 - Epoch 18, 测试集 AUC: 0.4740, PRE: 0.1384, REC: 0.2437, MF1: 0.4850, ACC1: 0.2437, ACC0: 0.7422, Gmean: 0.4253
2025-05-08 21:34:05 - Epoch 18, val mf1: 0.5049, val ACC1: 0.2731, val ACC0: 0.7594, val Gmean: 0.4554 (best 0.5589)
2025-05-08 21:34:06 - Epoch 19 伪标签: 正样本: 9131 (49.7%), 负样本: 9248 (50.3%)
2025-05-08 21:34:06 - Epoch 19, 测试集 AUC: 0.4628, PRE: 0.1362, REC: 0.1997, MF1: 0.4895, ACC1: 0.1997, ACC0: 0.7847, Gmean: 0.3959
2025-05-08 21:34:06 - Epoch 19, val mf1: 0.5032, val ACC1: 0.2209, val ACC0: 0.7944, val Gmean: 0.4189 (best 0.5589)
2025-05-08 21:34:06 - Epoch 20 伪标签: 正样本: 8989 (48.9%), 负样本: 9390 (51.1%)
2025-05-08 21:34:07 - Epoch 20, 有标签损失: 0.0008, 一致性损失: 0.0027, 伪标签损失: 0.8257, LPL损失: 29.2923, 聚类损失: 1.3010, 总损失: 0.1602
2025-05-08 21:34:07 - Epoch 20, 测试集 AUC: 0.4591, PRE: 0.1328, REC: 0.1993, MF1: 0.4863, ACC1: 0.1993, ACC0: 0.7787, Gmean: 0.3940
2025-05-08 21:34:07 - Epoch 20, val mf1: 0.4999, val ACC1: 0.2224, val ACC0: 0.7871, val Gmean: 0.4184 (best 0.5589)
2025-05-08 21:34:07 - Epoch 21 伪标签: 正样本: 8925 (48.6%), 负样本: 9454 (51.4%)
2025-05-08 21:34:08 - Epoch 21, 测试集 AUC: 0.4633, PRE: 0.1314, REC: 0.2355, MF1: 0.4786, ACC1: 0.2355, ACC0: 0.7355, Gmean: 0.4162
2025-05-08 21:34:08 - Epoch 21, val mf1: 0.4959, val ACC1: 0.2648, val ACC0: 0.7482, val Gmean: 0.4451 (best 0.5589)
