2025-05-09 20:58:59 - 运行开始时间: 20250509_205859
2025-05-09 20:58:59 - 日志文件: logs/train_log_yelp_seed64_20250509_205859.txt
2025-05-09 20:58:59 - 有标签数据: 正样本数: 1, 负样本数: 1, 总数: 2
2025-05-09 20:58:59 - 无标签数据数量: 457
2025-05-09 20:58:59 - 训练集总数: 459, 验证集: 15013, 测试集: 30482
2025-05-09 20:59:00 - cross entropy weight: 1.000000 (不使用)
2025-05-09 20:59:00 - 伪标签策略：
2025-05-09 20:59:00 -   使用模型输出和聚类结果的融合
2025-05-09 20:59:00 - Epoch 0 伪标签: 正样本: 243 (53.2%), 负样本: 214 (46.8%)
2025-05-09 20:59:00 - 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 20:59:01 - 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 20:59:01 - 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 20:59:01 - Epoch 0, val mf1: 0.5493, val ACC1: 0.8061, val ACC0: 0.5819, val Gmean: 0.6849 (best 0.5493)
2025-05-09 20:59:01 - Epoch 1 伪标签: 正样本: 236 (51.6%), 负样本: 221 (48.4%)
2025-05-09 20:59:01 - 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 20:59:01 - Epoch 1, val mf1: 0.5612, val ACC1: 0.6566, val ACC0: 0.6562, val Gmean: 0.6564 (best 0.5612)
2025-05-09 20:59:01 - Epoch 2 伪标签: 正样本: 231 (50.5%), 负样本: 226 (49.5%)
2025-05-09 20:59:02 - 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 20:59:02 - Epoch 2, val mf1: 0.5761, val ACC1: 0.3553, val ACC0: 0.8261, val Gmean: 0.5418 (best 0.5761)
