2025-05-09 20:59:27 - 运行开始时间: 20250509_205927
2025-05-09 20:59:27 - 日志文件: logs/train_log_yelp_seed64_20250509_205927.txt
2025-05-09 20:59:27 - 有标签数据: 正样本数: 1, 负样本数: 1, 总数: 2
2025-05-09 20:59:27 - 无标签数据数量: 457
2025-05-09 20:59:27 - 训练集总数: 459, 验证集: 15013, 测试集: 30482
2025-05-09 20:59:28 - cross entropy weight: 1.000000 (不使用)
2025-05-09 20:59:28 - 伪标签策略：
2025-05-09 20:59:28 -   使用模型输出和聚类结果的融合
2025-05-09 20:59:28 - Epoch 0 伪标签: 正样本: 243 (53.2%), 负样本: 214 (46.8%)
2025-05-09 20:59:29 - 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 20:59:29 - 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 20:59:29 - 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 20:59:29 - Epoch 0, val mf1: 0.5493, val ACC1: 0.8061, val ACC0: 0.5819, val Gmean: 0.6849 (best 0.5493)
2025-05-09 20:59:29 - Epoch 1 伪标签: 正样本: 236 (51.6%), 负样本: 221 (48.4%)
2025-05-09 20:59:30 - 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 20:59:30 - Epoch 1, val mf1: 0.5612, val ACC1: 0.6566, val ACC0: 0.6562, val Gmean: 0.6564 (best 0.5612)
2025-05-09 20:59:30 - Epoch 2 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:59:30 - 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 20:59:30 - Epoch 2, val mf1: 0.5761, val ACC1: 0.3553, val ACC0: 0.8261, val Gmean: 0.5418 (best 0.5761)
2025-05-09 20:59:30 - Epoch 3 伪标签: 正样本: 226 (49.5%), 负样本: 231 (50.5%)
2025-05-09 20:59:31 - 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 20:59:31 - Epoch 3, val mf1: 0.5422, val ACC1: 0.1311, val ACC0: 0.9458, val Gmean: 0.3522 (best 0.5761)
2025-05-09 20:59:31 - Epoch 4 伪标签: 正样本: 233 (51.0%), 负样本: 224 (49.0%)
2025-05-09 20:59:31 - 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 20:59:31 - Epoch 4, val mf1: 0.4994, val ACC1: 0.0459, val ACC0: 0.9855, val Gmean: 0.2126 (best 0.5761)
2025-05-09 20:59:32 - Epoch 5 伪标签: 正样本: 238 (52.1%), 负样本: 219 (47.9%)
2025-05-09 20:59:32 - 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 20:59:32 - Epoch 5, val mf1: 0.4861, val ACC1: 0.0275, val ACC0: 0.9936, val Gmean: 0.1653 (best 0.5761)
2025-05-09 20:59:32 - Epoch 6 伪标签: 正样本: 221 (48.4%), 负样本: 236 (51.6%)
2025-05-09 20:59:33 - 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 20:59:33 - Epoch 6, val mf1: 0.4842, val ACC1: 0.0257, val ACC0: 0.9933, val Gmean: 0.1597 (best 0.5761)
2025-05-09 20:59:33 - Epoch 7 伪标签: 正样本: 230 (50.3%), 负样本: 227 (49.7%)
2025-05-09 20:59:33 - 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 20:59:33 - Epoch 7, val mf1: 0.4855, val ACC1: 0.0275, val ACC0: 0.9921, val Gmean: 0.1652 (best 0.5761)
2025-05-09 20:59:33 - Epoch 8 伪标签: 正样本: 234 (51.2%), 负样本: 223 (48.8%)
2025-05-09 20:59:34 - 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 20:59:34 - Epoch 8, val mf1: 0.4924, val ACC1: 0.0358, val ACC0: 0.9902, val Gmean: 0.1882 (best 0.5761)
2025-05-09 20:59:34 - Epoch 9 伪标签: 正样本: 232 (50.8%), 负样本: 225 (49.2%)
2025-05-09 20:59:34 - 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 20:59:34 - Epoch 9, val mf1: 0.4971, val ACC1: 0.0417, val ACC0: 0.9885, val Gmean: 0.2031 (best 0.5761)
2025-05-09 20:59:35 - Epoch 10 伪标签: 正样本: 226 (49.5%), 负样本: 231 (50.5%)
2025-05-09 20:59:35 - 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 20:59:35 - 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 20:59:35 - Epoch 10, val mf1: 0.4977, val ACC1: 0.0436, val ACC0: 0.9861, val Gmean: 0.2073 (best 0.5761)
