2025-05-09 21:12:30 - 运行开始时间: 20250509_211230
2025-05-09 21:12:30 - 日志文件: logs/train_log_yelp_seed64_20250509_211230.txt
2025-05-09 21:12:30 - 有标签数据: 正样本数: 1, 负样本数: 1, 总数: 2
2025-05-09 21:12:30 - 无标签数据数量: 457
2025-05-09 21:12:30 - 训练集总数: 459, 验证集: 15013, 测试集: 30482
2025-05-09 21:12:30 - cross entropy weight: 1.000000 (不使用)
2025-05-09 21:12:30 - 伪标签策略：
2025-05-09 21:12:30 -   使用模型输出和聚类结果的融合
2025-05-09 21:12:31 - Epoch 0 伪标签: 正样本: 243 (53.2%), 负样本: 214 (46.8%)
2025-05-09 21:12:31 - 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: 1.8644
2025-05-09 21:12:31 - Epoch 0, 测试集 AUC: 0.7008, PRE: 0.2415, REC: 0.8438, MF1: 0.5364, ACC1: 0.8438, ACC0: 0.5495, Gmean: 0.6809
2025-05-09 21:12:31 - 更新最佳测试结果 (Epoch 0): AUC 0.7008, PRE 0.2415, REC 0.8438, MF1 0.5364, ACC1 0.8438, ACC0 0.5495, Gmean 0.6809
2025-05-09 21:12:31 - Epoch 0, val mf1: 0.5338, val ACC1: 0.8569, val ACC0: 0.5412, val Gmean: 0.6810 (best 0.5338)
2025-05-09 21:12:31 - Epoch 1 伪标签: 正样本: 237 (51.9%), 负样本: 220 (48.1%)
2025-05-09 21:12:32 - Epoch 1, 测试集 AUC: 0.6975, PRE: 0.2439, REC: 0.8325, MF1: 0.5417, ACC1: 0.8325, ACC0: 0.5614, Gmean: 0.6836
2025-05-09 21:12:32 - Epoch 1, val mf1: 0.5383, val ACC1: 0.8478, val ACC0: 0.5511, val Gmean: 0.6835 (best 0.5383)
2025-05-09 21:12:32 - Epoch 2 伪标签: 正样本: 235 (51.4%), 负样本: 222 (48.6%)
2025-05-09 21:12:32 - Epoch 2, 测试集 AUC: 0.6946, PRE: 0.2442, REC: 0.8198, MF1: 0.5438, ACC1: 0.8198, ACC0: 0.5688, Gmean: 0.6829
2025-05-09 21:12:32 - Epoch 2, val mf1: 0.5425, val ACC1: 0.8386, val ACC0: 0.5606, val Gmean: 0.6856 (best 0.5425)
2025-05-09 21:12:32 - Epoch 3 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 21:12:33 - Epoch 3, 测试集 AUC: 0.6923, PRE: 0.2448, REC: 0.8117, MF1: 0.5456, ACC1: 0.8117, ACC0: 0.5743, Gmean: 0.6828
2025-05-09 21:12:33 - Epoch 3, val mf1: 0.5449, val ACC1: 0.8331, val ACC0: 0.5660, val Gmean: 0.6867 (best 0.5449)
