2025-05-02 14:36:05 - 训练集正样本数: 1, 负样本数: 1
2025-05-02 14:36:05 - train/dev/test samples: 2, 1710, 3474
2025-05-02 14:36:06 - cross entropy weight: 1.000000
2025-05-02 14:36:06 - Epoch 0, loss: 1.0933, val mf1: 0.6005, val ACC1: 0.3436, val ACC0: 0.8927, val Gmean: 0.5538 (best 0.6005)
2025-05-02 14:36:06 - Epoch 1, loss: 31.3690, val mf1: 0.0870, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.6005)
2025-05-02 14:36:06 - Epoch 2, loss: 9.6065, val mf1: 0.0902, val ACC1: 0.9877, val ACC0: 0.0039, val Gmean: 0.0619 (best 0.6005)
2025-05-02 14:36:07 - Epoch 3, loss: 0.8019, val mf1: 0.3948, val ACC1: 0.2147, val ACC0: 0.5902, val Gmean: 0.3560 (best 0.6005)
2025-05-02 14:36:07 - Epoch 4, loss: 0.5947, val mf1: 0.5112, val ACC1: 0.6871, val ACC0: 0.6303, val Gmean: 0.6581 (best 0.6005)
2025-05-02 14:36:07 - Epoch 5, loss: 0.4296, val mf1: 0.5760, val ACC1: 0.5828, val ACC0: 0.7654, val Gmean: 0.6679 (best 0.6005)
2025-05-02 14:36:08 - Epoch 6, loss: 0.2671, val mf1: 0.6310, val ACC1: 0.5644, val ACC0: 0.8429, val Gmean: 0.6898 (best 0.6310)
2025-05-02 14:36:08 - Epoch 7, loss: 0.1095, val mf1: 0.6492, val ACC1: 0.6012, val ACC0: 0.8513, val Gmean: 0.7154 (best 0.6492)
2025-05-02 14:36:08 - Epoch 8, loss: 0.0542, val mf1: 0.6602, val ACC1: 0.5951, val ACC0: 0.8649, val Gmean: 0.7174 (best 0.6602)
2025-05-02 14:36:08 - Epoch 9, loss: 0.0146, val mf1: 0.6680, val ACC1: 0.5828, val ACC0: 0.8765, val Gmean: 0.7147 (best 0.6680)
2025-05-02 14:36:09 - Epoch 10, loss: 0.0071, val mf1: 0.6760, val ACC1: 0.5828, val ACC0: 0.8843, val Gmean: 0.7179 (best 0.6760)
2025-05-02 14:36:09 - Epoch 11, loss: 0.0027, val mf1: 0.6799, val ACC1: 0.5951, val ACC0: 0.8843, val Gmean: 0.7254 (best 0.6799)
2025-05-02 14:36:09 - Epoch 12, loss: 0.0008, val mf1: 0.6826, val ACC1: 0.5951, val ACC0: 0.8869, val Gmean: 0.7265 (best 0.6826)
2025-05-02 14:36:09 - Epoch 13, loss: 0.0002, val mf1: 0.6865, val ACC1: 0.6074, val ACC0: 0.8869, val Gmean: 0.7339 (best 0.6865)
2025-05-02 14:36:10 - Epoch 14, loss: 0.0001, val mf1: 0.6898, val ACC1: 0.6135, val ACC0: 0.8882, val Gmean: 0.7382 (best 0.6898)
2025-05-02 14:36:10 - Epoch 15, loss: 0.0000, val mf1: 0.6958, val ACC1: 0.6258, val ACC0: 0.8901, val Gmean: 0.7463 (best 0.6958)
2025-05-02 14:36:10 - Epoch 16, loss: 0.0000, val mf1: 0.6975, val ACC1: 0.6196, val ACC0: 0.8933, val Gmean: 0.7440 (best 0.6975)
2025-05-02 14:36:10 - Epoch 17, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.6989)
2025-05-02 14:36:11 - Epoch 18, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:36:11 - Epoch 19, loss: 0.0000, val mf1: 0.7010, val ACC1: 0.5890, val ACC0: 0.9050, val Gmean: 0.7301 (best 0.7012)
2025-05-02 14:36:11 - Epoch 20, loss: 0.0000, val mf1: 0.7007, val ACC1: 0.5951, val ACC0: 0.9030, val Gmean: 0.7331 (best 0.7012)
2025-05-02 14:36:11 - Epoch 21, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:36:12 - Epoch 22, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7015)
2025-05-02 14:36:12 - Epoch 23, loss: 0.0000, val mf1: 0.7022, val ACC1: 0.5951, val ACC0: 0.9043, val Gmean: 0.7336 (best 0.7022)
2025-05-02 14:36:12 - Epoch 24, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:36:12 - Epoch 25, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:36:13 - Epoch 26, loss: 0.0000, val mf1: 0.7030, val ACC1: 0.5951, val ACC0: 0.9050, val Gmean: 0.7339 (best 0.7030)
2025-05-02 14:36:13 - Epoch 27, loss: 0.0000, val mf1: 0.7021, val ACC1: 0.6319, val ACC0: 0.8940, val Gmean: 0.7516 (best 0.7030)
2025-05-02 14:36:13 - Epoch 28, loss: 0.0000, val mf1: 0.7027, val ACC1: 0.6012, val ACC0: 0.9030, val Gmean: 0.7368 (best 0.7030)
2025-05-02 14:36:14 - Epoch 29, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6012, val ACC0: 0.9024, val Gmean: 0.7366 (best 0.7030)
2025-05-02 14:36:14 - Epoch 30, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:36:14 - Epoch 31, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:36:14 - Epoch 32, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:36:15 - Epoch 33, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.6196, val ACC0: 0.8966, val Gmean: 0.7453 (best 0.7030)
2025-05-02 14:36:15 - Epoch 34, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:36:15 - Epoch 35, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:36:15 - Epoch 36, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:36:16 - Epoch 37, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6626, val ACC0: 0.8856, val Gmean: 0.7660 (best 0.7030)
2025-05-02 14:36:16 - Epoch 38, loss: 0.0000, val mf1: 0.7028, val ACC1: 0.6319, val ACC0: 0.8946, val Gmean: 0.7519 (best 0.7030)
2025-05-02 14:36:16 - Epoch 39, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:36:16 - Epoch 40, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:36:17 - Epoch 41, loss: 0.0000, val mf1: 0.7003, val ACC1: 0.6380, val ACC0: 0.8908, val Gmean: 0.7539 (best 0.7030)
2025-05-02 14:36:17 - Epoch 42, loss: 0.0000, val mf1: 0.7013, val ACC1: 0.6626, val ACC0: 0.8849, val Gmean: 0.7657 (best 0.7030)
2025-05-02 14:36:17 - Epoch 43, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:36:17 - Epoch 44, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:36:18 - Epoch 45, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:36:18 - Epoch 46, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:36:18 - Epoch 47, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:36:18 - Epoch 48, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:36:19 - Epoch 49, loss: 0.0000, val mf1: 0.6985, val ACC1: 0.6135, val ACC0: 0.8959, val Gmean: 0.7414 (best 0.7030)
2025-05-02 14:36:19 - Epoch 50, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:36:19 - Epoch 51, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:36:19 - Epoch 52, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:36:20 - Epoch 53, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:36:20 - Epoch 54, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:36:20 - Epoch 55, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:36:20 - Epoch 56, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:36:21 - Epoch 57, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:36:21 - Epoch 58, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:36:21 - Epoch 59, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:21 - Epoch 60, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:22 - Epoch 61, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:22 - Epoch 62, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:22 - Epoch 63, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:22 - Epoch 64, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:23 - Epoch 65, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:23 - Epoch 66, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:23 - Epoch 67, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:23 - Epoch 68, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:24 - Epoch 69, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:24 - Epoch 70, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:24 - Epoch 71, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:24 - Epoch 72, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:25 - Epoch 73, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:25 - Epoch 74, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:25 - Epoch 75, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:25 - Epoch 76, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:26 - Epoch 77, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:26 - Epoch 78, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:26 - Epoch 79, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:26 - Epoch 80, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:27 - Epoch 81, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:27 - Epoch 82, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:27 - Epoch 83, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:27 - Epoch 84, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:28 - Epoch 85, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:28 - Epoch 86, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:28 - Epoch 87, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:28 - Epoch 88, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:29 - Epoch 89, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:29 - Epoch 90, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:29 - Epoch 91, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:29 - Epoch 92, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:30 - Epoch 93, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:30 - Epoch 94, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:30 - Epoch 95, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:30 - Epoch 96, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:31 - Epoch 97, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:31 - Epoch 98, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:31 - Epoch 99, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:36:31 - time cost: 25.43 s
2025-05-02 14:36:31 - Test: REC 68.48 PRE 42.09 MF1 72.65 AUC 86.27 ACC1 68.48 ACC0 90.11 Gmean 78.56
2025-05-02 14:37:11 - 训练集正样本数: 1, 负样本数: 1
2025-05-02 14:37:11 - train/dev/test samples: 2, 1710, 3474
2025-05-02 14:37:12 - cross entropy weight: 1.000000
2025-05-02 14:37:12 - Epoch 0, loss: 1.0933, val mf1: 0.6005, val ACC1: 0.3436, val ACC0: 0.8927, val Gmean: 0.5538 (best 0.6005)
2025-05-02 14:37:12 - Epoch 1, loss: 31.3690, val mf1: 0.0870, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.6005)
2025-05-02 14:37:12 - Epoch 2, loss: 9.6065, val mf1: 0.0902, val ACC1: 0.9877, val ACC0: 0.0039, val Gmean: 0.0619 (best 0.6005)
2025-05-02 14:37:12 - Epoch 3, loss: 0.8019, val mf1: 0.3948, val ACC1: 0.2147, val ACC0: 0.5902, val Gmean: 0.3560 (best 0.6005)
2025-05-02 14:37:13 - Epoch 4, loss: 0.5947, val mf1: 0.5112, val ACC1: 0.6871, val ACC0: 0.6303, val Gmean: 0.6581 (best 0.6005)
2025-05-02 14:37:13 - Epoch 5, loss: 0.4296, val mf1: 0.5760, val ACC1: 0.5828, val ACC0: 0.7654, val Gmean: 0.6679 (best 0.6005)
2025-05-02 14:37:13 - Epoch 6, loss: 0.2671, val mf1: 0.6310, val ACC1: 0.5644, val ACC0: 0.8429, val Gmean: 0.6898 (best 0.6310)
2025-05-02 14:37:13 - Epoch 7, loss: 0.1095, val mf1: 0.6492, val ACC1: 0.6012, val ACC0: 0.8513, val Gmean: 0.7154 (best 0.6492)
2025-05-02 14:37:14 - Epoch 8, loss: 0.0542, val mf1: 0.6602, val ACC1: 0.5951, val ACC0: 0.8649, val Gmean: 0.7174 (best 0.6602)
2025-05-02 14:37:14 - Epoch 9, loss: 0.0146, val mf1: 0.6680, val ACC1: 0.5828, val ACC0: 0.8765, val Gmean: 0.7147 (best 0.6680)
2025-05-02 14:37:14 - Epoch 10, loss: 0.0071, val mf1: 0.6760, val ACC1: 0.5828, val ACC0: 0.8843, val Gmean: 0.7179 (best 0.6760)
2025-05-02 14:37:14 - Epoch 11, loss: 0.0027, val mf1: 0.6799, val ACC1: 0.5951, val ACC0: 0.8843, val Gmean: 0.7254 (best 0.6799)
2025-05-02 14:37:15 - Epoch 12, loss: 0.0008, val mf1: 0.6826, val ACC1: 0.5951, val ACC0: 0.8869, val Gmean: 0.7265 (best 0.6826)
2025-05-02 14:37:15 - Epoch 13, loss: 0.0002, val mf1: 0.6865, val ACC1: 0.6074, val ACC0: 0.8869, val Gmean: 0.7339 (best 0.6865)
2025-05-02 14:37:15 - Epoch 14, loss: 0.0001, val mf1: 0.6898, val ACC1: 0.6135, val ACC0: 0.8882, val Gmean: 0.7382 (best 0.6898)
2025-05-02 14:37:15 - Epoch 15, loss: 0.0000, val mf1: 0.6958, val ACC1: 0.6258, val ACC0: 0.8901, val Gmean: 0.7463 (best 0.6958)
2025-05-02 14:37:16 - Epoch 16, loss: 0.0000, val mf1: 0.6975, val ACC1: 0.6196, val ACC0: 0.8933, val Gmean: 0.7440 (best 0.6975)
2025-05-02 14:37:16 - Epoch 17, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.6989)
2025-05-02 14:37:16 - Epoch 18, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:37:16 - Epoch 19, loss: 0.0000, val mf1: 0.7010, val ACC1: 0.5890, val ACC0: 0.9050, val Gmean: 0.7301 (best 0.7012)
2025-05-02 14:37:17 - Epoch 20, loss: 0.0000, val mf1: 0.7007, val ACC1: 0.5951, val ACC0: 0.9030, val Gmean: 0.7331 (best 0.7012)
2025-05-02 14:37:17 - Epoch 21, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:37:17 - Epoch 22, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7015)
2025-05-02 14:37:17 - Epoch 23, loss: 0.0000, val mf1: 0.7022, val ACC1: 0.5951, val ACC0: 0.9043, val Gmean: 0.7336 (best 0.7022)
2025-05-02 14:37:18 - Epoch 24, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:37:18 - Epoch 25, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:37:18 - Epoch 26, loss: 0.0000, val mf1: 0.7030, val ACC1: 0.5951, val ACC0: 0.9050, val Gmean: 0.7339 (best 0.7030)
2025-05-02 14:37:18 - Epoch 27, loss: 0.0000, val mf1: 0.7021, val ACC1: 0.6319, val ACC0: 0.8940, val Gmean: 0.7516 (best 0.7030)
2025-05-02 14:37:19 - Epoch 28, loss: 0.0000, val mf1: 0.7027, val ACC1: 0.6012, val ACC0: 0.9030, val Gmean: 0.7368 (best 0.7030)
2025-05-02 14:37:19 - Epoch 29, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6012, val ACC0: 0.9024, val Gmean: 0.7366 (best 0.7030)
2025-05-02 14:37:19 - Epoch 30, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:37:19 - Epoch 31, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:37:20 - Epoch 32, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:37:20 - Epoch 33, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.6196, val ACC0: 0.8966, val Gmean: 0.7453 (best 0.7030)
2025-05-02 14:37:20 - Epoch 34, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:37:20 - Epoch 35, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:37:21 - Epoch 36, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:37:21 - Epoch 37, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6626, val ACC0: 0.8856, val Gmean: 0.7660 (best 0.7030)
2025-05-02 14:37:21 - Epoch 38, loss: 0.0000, val mf1: 0.7028, val ACC1: 0.6319, val ACC0: 0.8946, val Gmean: 0.7519 (best 0.7030)
2025-05-02 14:37:21 - Epoch 39, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:37:21 - Epoch 40, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:37:22 - Epoch 41, loss: 0.0000, val mf1: 0.7003, val ACC1: 0.6380, val ACC0: 0.8908, val Gmean: 0.7539 (best 0.7030)
2025-05-02 14:37:22 - Epoch 42, loss: 0.0000, val mf1: 0.7013, val ACC1: 0.6626, val ACC0: 0.8849, val Gmean: 0.7657 (best 0.7030)
2025-05-02 14:37:22 - Epoch 43, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:37:22 - Epoch 44, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:37:23 - Epoch 45, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:37:23 - Epoch 46, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:37:23 - Epoch 47, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:37:23 - Epoch 48, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:37:24 - Epoch 49, loss: 0.0000, val mf1: 0.6985, val ACC1: 0.6135, val ACC0: 0.8959, val Gmean: 0.7414 (best 0.7030)
2025-05-02 14:37:24 - Epoch 50, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:37:24 - Epoch 51, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:37:25 - Epoch 52, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:37:25 - Epoch 53, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:37:25 - Epoch 54, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:37:25 - Epoch 55, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:37:26 - Epoch 56, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:37:26 - Epoch 57, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:37:26 - Epoch 58, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:37:26 - Epoch 59, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:27 - Epoch 60, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:27 - Epoch 61, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:27 - Epoch 62, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:27 - Epoch 63, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:28 - Epoch 64, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:28 - Epoch 65, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:28 - Epoch 66, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:28 - Epoch 67, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:29 - Epoch 68, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:29 - Epoch 69, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:29 - Epoch 70, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:29 - Epoch 71, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:30 - Epoch 72, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:30 - Epoch 73, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:30 - Epoch 74, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:30 - Epoch 75, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:31 - Epoch 76, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:31 - Epoch 77, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:31 - Epoch 78, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:31 - Epoch 79, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:32 - Epoch 80, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:32 - Epoch 81, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:32 - Epoch 82, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:32 - Epoch 83, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:33 - Epoch 84, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:33 - Epoch 85, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:33 - Epoch 86, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:33 - Epoch 87, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:34 - Epoch 88, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:34 - Epoch 89, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:34 - Epoch 90, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:34 - Epoch 91, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:35 - Epoch 92, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:35 - Epoch 93, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:35 - Epoch 94, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:35 - Epoch 95, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:36 - Epoch 96, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:36 - Epoch 97, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:36 - Epoch 98, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:36 - Epoch 99, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:37:36 - time cost: 24.97 s
2025-05-02 14:37:36 - Test: REC 68.48 PRE 42.09 MF1 72.65 AUC 86.27 ACC1 68.48 ACC0 90.11 Gmean 78.56
2025-05-02 14:37:51 - 训练集正样本数: 1, 负样本数: 1
2025-05-02 14:37:51 - train/dev/test samples: 2, 1710, 3474
2025-05-02 14:37:52 - cross entropy weight: 1.000000
2025-05-02 14:37:52 - Epoch 0, loss: 1.0933, val mf1: 0.6005, val ACC1: 0.3436, val ACC0: 0.8927, val Gmean: 0.5538 (best 0.6005)
2025-05-02 14:37:52 - Epoch 1, loss: 31.3690, val mf1: 0.0870, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.6005)
2025-05-02 14:37:52 - Epoch 2, loss: 9.6065, val mf1: 0.0902, val ACC1: 0.9877, val ACC0: 0.0039, val Gmean: 0.0619 (best 0.6005)
2025-05-02 14:37:53 - Epoch 3, loss: 0.8019, val mf1: 0.3948, val ACC1: 0.2147, val ACC0: 0.5902, val Gmean: 0.3560 (best 0.6005)
2025-05-02 14:37:53 - Epoch 4, loss: 0.5947, val mf1: 0.5112, val ACC1: 0.6871, val ACC0: 0.6303, val Gmean: 0.6581 (best 0.6005)
2025-05-02 14:37:53 - Epoch 5, loss: 0.4296, val mf1: 0.5760, val ACC1: 0.5828, val ACC0: 0.7654, val Gmean: 0.6679 (best 0.6005)
2025-05-02 14:37:53 - Epoch 6, loss: 0.2671, val mf1: 0.6310, val ACC1: 0.5644, val ACC0: 0.8429, val Gmean: 0.6898 (best 0.6310)
2025-05-02 14:37:54 - Epoch 7, loss: 0.1095, val mf1: 0.6492, val ACC1: 0.6012, val ACC0: 0.8513, val Gmean: 0.7154 (best 0.6492)
2025-05-02 14:37:54 - Epoch 8, loss: 0.0542, val mf1: 0.6602, val ACC1: 0.5951, val ACC0: 0.8649, val Gmean: 0.7174 (best 0.6602)
2025-05-02 14:37:54 - Epoch 9, loss: 0.0146, val mf1: 0.6680, val ACC1: 0.5828, val ACC0: 0.8765, val Gmean: 0.7147 (best 0.6680)
2025-05-02 14:37:54 - Epoch 10, loss: 0.0071, val mf1: 0.6760, val ACC1: 0.5828, val ACC0: 0.8843, val Gmean: 0.7179 (best 0.6760)
2025-05-02 14:37:55 - Epoch 11, loss: 0.0027, val mf1: 0.6799, val ACC1: 0.5951, val ACC0: 0.8843, val Gmean: 0.7254 (best 0.6799)
2025-05-02 14:37:55 - Epoch 12, loss: 0.0008, val mf1: 0.6826, val ACC1: 0.5951, val ACC0: 0.8869, val Gmean: 0.7265 (best 0.6826)
2025-05-02 14:37:55 - Epoch 13, loss: 0.0002, val mf1: 0.6865, val ACC1: 0.6074, val ACC0: 0.8869, val Gmean: 0.7339 (best 0.6865)
2025-05-02 14:37:55 - Epoch 14, loss: 0.0001, val mf1: 0.6898, val ACC1: 0.6135, val ACC0: 0.8882, val Gmean: 0.7382 (best 0.6898)
2025-05-02 14:37:56 - Epoch 15, loss: 0.0000, val mf1: 0.6958, val ACC1: 0.6258, val ACC0: 0.8901, val Gmean: 0.7463 (best 0.6958)
2025-05-02 14:37:56 - Epoch 16, loss: 0.0000, val mf1: 0.6975, val ACC1: 0.6196, val ACC0: 0.8933, val Gmean: 0.7440 (best 0.6975)
2025-05-02 14:37:56 - Epoch 17, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.6989)
2025-05-02 14:37:56 - Epoch 18, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:37:56 - Epoch 19, loss: 0.0000, val mf1: 0.7010, val ACC1: 0.5890, val ACC0: 0.9050, val Gmean: 0.7301 (best 0.7012)
2025-05-02 14:37:57 - Epoch 20, loss: 0.0000, val mf1: 0.7007, val ACC1: 0.5951, val ACC0: 0.9030, val Gmean: 0.7331 (best 0.7012)
2025-05-02 14:37:57 - Epoch 21, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:37:57 - Epoch 22, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7015)
2025-05-02 14:37:57 - Epoch 23, loss: 0.0000, val mf1: 0.7022, val ACC1: 0.5951, val ACC0: 0.9043, val Gmean: 0.7336 (best 0.7022)
2025-05-02 14:37:58 - Epoch 24, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:37:58 - Epoch 25, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:37:58 - Epoch 26, loss: 0.0000, val mf1: 0.7030, val ACC1: 0.5951, val ACC0: 0.9050, val Gmean: 0.7339 (best 0.7030)
2025-05-02 14:37:58 - Epoch 27, loss: 0.0000, val mf1: 0.7021, val ACC1: 0.6319, val ACC0: 0.8940, val Gmean: 0.7516 (best 0.7030)
2025-05-02 14:37:59 - Epoch 28, loss: 0.0000, val mf1: 0.7027, val ACC1: 0.6012, val ACC0: 0.9030, val Gmean: 0.7368 (best 0.7030)
2025-05-02 14:37:59 - Epoch 29, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6012, val ACC0: 0.9024, val Gmean: 0.7366 (best 0.7030)
2025-05-02 14:37:59 - Epoch 30, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:37:59 - Epoch 31, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:38:00 - Epoch 32, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:38:00 - Epoch 33, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.6196, val ACC0: 0.8966, val Gmean: 0.7453 (best 0.7030)
2025-05-02 14:38:00 - Epoch 34, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:38:00 - Epoch 35, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:38:01 - Epoch 36, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:38:01 - Epoch 37, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6626, val ACC0: 0.8856, val Gmean: 0.7660 (best 0.7030)
2025-05-02 14:38:01 - Epoch 38, loss: 0.0000, val mf1: 0.7028, val ACC1: 0.6319, val ACC0: 0.8946, val Gmean: 0.7519 (best 0.7030)
2025-05-02 14:38:01 - Epoch 39, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:38:02 - Epoch 40, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:38:02 - Epoch 41, loss: 0.0000, val mf1: 0.7003, val ACC1: 0.6380, val ACC0: 0.8908, val Gmean: 0.7539 (best 0.7030)
2025-05-02 14:38:02 - Epoch 42, loss: 0.0000, val mf1: 0.7013, val ACC1: 0.6626, val ACC0: 0.8849, val Gmean: 0.7657 (best 0.7030)
2025-05-02 14:38:02 - Epoch 43, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:03 - Epoch 44, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:03 - Epoch 45, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:03 - Epoch 46, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:03 - Epoch 47, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:04 - Epoch 48, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:38:04 - Epoch 49, loss: 0.0000, val mf1: 0.6985, val ACC1: 0.6135, val ACC0: 0.8959, val Gmean: 0.7414 (best 0.7030)
2025-05-02 14:38:04 - Epoch 50, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:04 - Epoch 51, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:05 - Epoch 52, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:05 - Epoch 53, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:05 - Epoch 54, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:38:05 - Epoch 55, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:38:05 - Epoch 56, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:38:06 - Epoch 57, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:38:06 - Epoch 58, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:06 - Epoch 59, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:06 - Epoch 60, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:07 - Epoch 61, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:07 - Epoch 62, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:07 - Epoch 63, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:07 - Epoch 64, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:07 - Epoch 65, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:08 - Epoch 66, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:08 - Epoch 67, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:08 - Epoch 68, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:08 - Epoch 69, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:08 - Epoch 70, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:09 - Epoch 71, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:09 - Epoch 72, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:09 - Epoch 73, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:09 - Epoch 74, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:10 - Epoch 75, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:10 - Epoch 76, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:10 - Epoch 77, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:10 - Epoch 78, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:10 - Epoch 79, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:11 - Epoch 80, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:11 - Epoch 81, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:11 - Epoch 82, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:11 - Epoch 83, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:12 - Epoch 84, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:12 - Epoch 85, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:12 - Epoch 86, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:12 - Epoch 87, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:12 - Epoch 88, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:13 - Epoch 89, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:13 - Epoch 90, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:13 - Epoch 91, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:13 - Epoch 92, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:14 - Epoch 93, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:14 - Epoch 94, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:14 - Epoch 95, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:14 - Epoch 96, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:14 - Epoch 97, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:15 - Epoch 98, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:15 - Epoch 99, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:15 - time cost: 23.28 s
2025-05-02 14:38:15 - Test: REC 68.48 PRE 42.09 MF1 72.65 AUC 86.27 ACC1 68.48 ACC0 90.11 Gmean 78.56
2025-05-02 14:38:27 - 训练集正样本数: 1, 负样本数: 1
2025-05-02 14:38:27 - train/dev/test samples: 2, 1710, 3474
2025-05-02 14:38:28 - cross entropy weight: 1.000000
2025-05-02 14:38:28 - Epoch 0, loss: 1.0933, val mf1: 0.6005, val ACC1: 0.3436, val ACC0: 0.8927, val Gmean: 0.5538 (best 0.6005)
2025-05-02 14:38:28 - Epoch 1, loss: 31.3690, val mf1: 0.0870, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.6005)
2025-05-02 14:38:28 - Epoch 2, loss: 9.6065, val mf1: 0.0902, val ACC1: 0.9877, val ACC0: 0.0039, val Gmean: 0.0619 (best 0.6005)
2025-05-02 14:38:29 - Epoch 3, loss: 0.8019, val mf1: 0.3948, val ACC1: 0.2147, val ACC0: 0.5902, val Gmean: 0.3560 (best 0.6005)
2025-05-02 14:38:29 - Epoch 4, loss: 0.5947, val mf1: 0.5112, val ACC1: 0.6871, val ACC0: 0.6303, val Gmean: 0.6581 (best 0.6005)
2025-05-02 14:38:29 - Epoch 5, loss: 0.4296, val mf1: 0.5760, val ACC1: 0.5828, val ACC0: 0.7654, val Gmean: 0.6679 (best 0.6005)
2025-05-02 14:38:29 - Epoch 6, loss: 0.2671, val mf1: 0.6310, val ACC1: 0.5644, val ACC0: 0.8429, val Gmean: 0.6898 (best 0.6310)
2025-05-02 14:38:30 - Epoch 7, loss: 0.1095, val mf1: 0.6492, val ACC1: 0.6012, val ACC0: 0.8513, val Gmean: 0.7154 (best 0.6492)
2025-05-02 14:38:30 - Epoch 8, loss: 0.0542, val mf1: 0.6602, val ACC1: 0.5951, val ACC0: 0.8649, val Gmean: 0.7174 (best 0.6602)
2025-05-02 14:38:30 - Epoch 9, loss: 0.0146, val mf1: 0.6680, val ACC1: 0.5828, val ACC0: 0.8765, val Gmean: 0.7147 (best 0.6680)
2025-05-02 14:38:30 - Epoch 10, loss: 0.0071, val mf1: 0.6760, val ACC1: 0.5828, val ACC0: 0.8843, val Gmean: 0.7179 (best 0.6760)
2025-05-02 14:38:31 - Epoch 11, loss: 0.0027, val mf1: 0.6799, val ACC1: 0.5951, val ACC0: 0.8843, val Gmean: 0.7254 (best 0.6799)
2025-05-02 14:38:31 - Epoch 12, loss: 0.0008, val mf1: 0.6826, val ACC1: 0.5951, val ACC0: 0.8869, val Gmean: 0.7265 (best 0.6826)
2025-05-02 14:38:31 - Epoch 13, loss: 0.0002, val mf1: 0.6865, val ACC1: 0.6074, val ACC0: 0.8869, val Gmean: 0.7339 (best 0.6865)
2025-05-02 14:38:31 - Epoch 14, loss: 0.0001, val mf1: 0.6898, val ACC1: 0.6135, val ACC0: 0.8882, val Gmean: 0.7382 (best 0.6898)
2025-05-02 14:38:32 - Epoch 15, loss: 0.0000, val mf1: 0.6958, val ACC1: 0.6258, val ACC0: 0.8901, val Gmean: 0.7463 (best 0.6958)
2025-05-02 14:38:32 - Epoch 16, loss: 0.0000, val mf1: 0.6975, val ACC1: 0.6196, val ACC0: 0.8933, val Gmean: 0.7440 (best 0.6975)
2025-05-02 14:38:32 - Epoch 17, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.6989)
2025-05-02 14:38:32 - Epoch 18, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:38:33 - Epoch 19, loss: 0.0000, val mf1: 0.7010, val ACC1: 0.5890, val ACC0: 0.9050, val Gmean: 0.7301 (best 0.7012)
2025-05-02 14:38:33 - Epoch 20, loss: 0.0000, val mf1: 0.7007, val ACC1: 0.5951, val ACC0: 0.9030, val Gmean: 0.7331 (best 0.7012)
2025-05-02 14:38:33 - Epoch 21, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:38:33 - Epoch 22, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7015)
2025-05-02 14:38:34 - Epoch 23, loss: 0.0000, val mf1: 0.7022, val ACC1: 0.5951, val ACC0: 0.9043, val Gmean: 0.7336 (best 0.7022)
2025-05-02 14:38:34 - Epoch 24, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:38:34 - Epoch 25, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:38:34 - Epoch 26, loss: 0.0000, val mf1: 0.7030, val ACC1: 0.5951, val ACC0: 0.9050, val Gmean: 0.7339 (best 0.7030)
2025-05-02 14:38:35 - Epoch 27, loss: 0.0000, val mf1: 0.7021, val ACC1: 0.6319, val ACC0: 0.8940, val Gmean: 0.7516 (best 0.7030)
2025-05-02 14:38:35 - Epoch 28, loss: 0.0000, val mf1: 0.7027, val ACC1: 0.6012, val ACC0: 0.9030, val Gmean: 0.7368 (best 0.7030)
2025-05-02 14:38:35 - Epoch 29, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6012, val ACC0: 0.9024, val Gmean: 0.7366 (best 0.7030)
2025-05-02 14:38:35 - Epoch 30, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:38:36 - Epoch 31, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:38:36 - Epoch 32, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:38:36 - Epoch 33, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.6196, val ACC0: 0.8966, val Gmean: 0.7453 (best 0.7030)
2025-05-02 14:38:36 - Epoch 34, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:38:37 - Epoch 35, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:38:37 - Epoch 36, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:38:37 - Epoch 37, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6626, val ACC0: 0.8856, val Gmean: 0.7660 (best 0.7030)
2025-05-02 14:38:37 - Epoch 38, loss: 0.0000, val mf1: 0.7028, val ACC1: 0.6319, val ACC0: 0.8946, val Gmean: 0.7519 (best 0.7030)
2025-05-02 14:38:38 - Epoch 39, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:38:38 - Epoch 40, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:38:38 - Epoch 41, loss: 0.0000, val mf1: 0.7003, val ACC1: 0.6380, val ACC0: 0.8908, val Gmean: 0.7539 (best 0.7030)
2025-05-02 14:38:38 - Epoch 42, loss: 0.0000, val mf1: 0.7013, val ACC1: 0.6626, val ACC0: 0.8849, val Gmean: 0.7657 (best 0.7030)
2025-05-02 14:38:39 - Epoch 43, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:39 - Epoch 44, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:39 - Epoch 45, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:39 - Epoch 46, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:39 - Epoch 47, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:38:40 - Epoch 48, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:38:40 - Epoch 49, loss: 0.0000, val mf1: 0.6985, val ACC1: 0.6135, val ACC0: 0.8959, val Gmean: 0.7414 (best 0.7030)
2025-05-02 14:38:40 - Epoch 50, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:40 - Epoch 51, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:41 - Epoch 52, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:41 - Epoch 53, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:41 - Epoch 54, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:38:41 - Epoch 55, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:38:42 - Epoch 56, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:38:42 - Epoch 57, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:38:42 - Epoch 58, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:38:42 - Epoch 59, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:43 - Epoch 60, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:43 - Epoch 61, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:43 - Epoch 62, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:43 - Epoch 63, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:43 - Epoch 64, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:44 - Epoch 65, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:44 - Epoch 66, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:44 - Epoch 67, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:44 - Epoch 68, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:45 - Epoch 69, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:45 - Epoch 70, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:45 - Epoch 71, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:45 - Epoch 72, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:46 - Epoch 73, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:46 - Epoch 74, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:46 - Epoch 75, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:46 - Epoch 76, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:47 - Epoch 77, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:47 - Epoch 78, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:47 - Epoch 79, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:47 - Epoch 80, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:48 - Epoch 81, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:48 - Epoch 82, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:48 - Epoch 83, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:48 - Epoch 84, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:49 - Epoch 85, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:49 - Epoch 86, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:49 - Epoch 87, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:49 - Epoch 88, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:50 - Epoch 89, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:50 - Epoch 90, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:50 - Epoch 91, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:50 - Epoch 92, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:51 - Epoch 93, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:51 - Epoch 94, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:51 - Epoch 95, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:51 - Epoch 96, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:52 - Epoch 97, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:52 - Epoch 98, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:52 - Epoch 99, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:38:52 - time cost: 24.39 s
2025-05-02 14:38:52 - Test: REC 68.48 PRE 42.09 MF1 72.65 AUC 86.27 ACC1 68.48 ACC0 90.11 Gmean 78.56
2025-05-02 14:40:40 - 训练集正样本数: 1, 负样本数: 1
2025-05-02 14:40:40 - train/dev/test samples: 2, 1710, 3474
2025-05-02 14:40:40 - cross entropy weight: 1.000000
2025-05-02 14:40:41 - Epoch 0, loss: 1.0933, val mf1: 0.6005, val ACC1: 0.3436, val ACC0: 0.8927, val Gmean: 0.5538 (best 0.6005)
2025-05-02 14:40:41 - Epoch 1, loss: 31.3690, val mf1: 0.0870, val ACC1: 1.0000, val ACC0: 0.0000, val Gmean: 0.0000 (best 0.6005)
2025-05-02 14:40:41 - Epoch 2, loss: 9.6065, val mf1: 0.0902, val ACC1: 0.9877, val ACC0: 0.0039, val Gmean: 0.0619 (best 0.6005)
2025-05-02 14:40:41 - Epoch 3, loss: 0.8019, val mf1: 0.3948, val ACC1: 0.2147, val ACC0: 0.5902, val Gmean: 0.3560 (best 0.6005)
2025-05-02 14:40:42 - Epoch 4, loss: 0.5947, val mf1: 0.5112, val ACC1: 0.6871, val ACC0: 0.6303, val Gmean: 0.6581 (best 0.6005)
2025-05-02 14:40:42 - Epoch 5, loss: 0.4296, val mf1: 0.5760, val ACC1: 0.5828, val ACC0: 0.7654, val Gmean: 0.6679 (best 0.6005)
2025-05-02 14:40:42 - Epoch 6, loss: 0.2671, val mf1: 0.6310, val ACC1: 0.5644, val ACC0: 0.8429, val Gmean: 0.6898 (best 0.6310)
2025-05-02 14:40:42 - Epoch 7, loss: 0.1095, val mf1: 0.6492, val ACC1: 0.6012, val ACC0: 0.8513, val Gmean: 0.7154 (best 0.6492)
2025-05-02 14:40:43 - Epoch 8, loss: 0.0542, val mf1: 0.6602, val ACC1: 0.5951, val ACC0: 0.8649, val Gmean: 0.7174 (best 0.6602)
2025-05-02 14:40:43 - Epoch 9, loss: 0.0146, val mf1: 0.6680, val ACC1: 0.5828, val ACC0: 0.8765, val Gmean: 0.7147 (best 0.6680)
2025-05-02 14:40:43 - Epoch 10, loss: 0.0071, val mf1: 0.6760, val ACC1: 0.5828, val ACC0: 0.8843, val Gmean: 0.7179 (best 0.6760)
2025-05-02 14:40:44 - Epoch 11, loss: 0.0027, val mf1: 0.6799, val ACC1: 0.5951, val ACC0: 0.8843, val Gmean: 0.7254 (best 0.6799)
2025-05-02 14:40:44 - Epoch 12, loss: 0.0008, val mf1: 0.6826, val ACC1: 0.5951, val ACC0: 0.8869, val Gmean: 0.7265 (best 0.6826)
2025-05-02 14:40:44 - Epoch 13, loss: 0.0002, val mf1: 0.6865, val ACC1: 0.6074, val ACC0: 0.8869, val Gmean: 0.7339 (best 0.6865)
2025-05-02 14:40:44 - Epoch 14, loss: 0.0001, val mf1: 0.6898, val ACC1: 0.6135, val ACC0: 0.8882, val Gmean: 0.7382 (best 0.6898)
2025-05-02 14:40:45 - Epoch 15, loss: 0.0000, val mf1: 0.6958, val ACC1: 0.6258, val ACC0: 0.8901, val Gmean: 0.7463 (best 0.6958)
2025-05-02 14:40:45 - Epoch 16, loss: 0.0000, val mf1: 0.6975, val ACC1: 0.6196, val ACC0: 0.8933, val Gmean: 0.7440 (best 0.6975)
2025-05-02 14:40:45 - Epoch 17, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.6989)
2025-05-02 14:40:45 - Epoch 18, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:40:46 - Epoch 19, loss: 0.0000, val mf1: 0.7010, val ACC1: 0.5890, val ACC0: 0.9050, val Gmean: 0.7301 (best 0.7012)
2025-05-02 14:40:46 - Epoch 20, loss: 0.0000, val mf1: 0.7007, val ACC1: 0.5951, val ACC0: 0.9030, val Gmean: 0.7331 (best 0.7012)
2025-05-02 14:40:46 - Epoch 21, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.5828, val ACC0: 0.9069, val Gmean: 0.7270 (best 0.7012)
2025-05-02 14:40:46 - Epoch 22, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7015)
2025-05-02 14:40:47 - Epoch 23, loss: 0.0000, val mf1: 0.7022, val ACC1: 0.5951, val ACC0: 0.9043, val Gmean: 0.7336 (best 0.7022)
2025-05-02 14:40:47 - Epoch 24, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:40:47 - Epoch 25, loss: 0.0000, val mf1: 0.7015, val ACC1: 0.6442, val ACC0: 0.8901, val Gmean: 0.7572 (best 0.7022)
2025-05-02 14:40:48 - Epoch 26, loss: 0.0000, val mf1: 0.7030, val ACC1: 0.5951, val ACC0: 0.9050, val Gmean: 0.7339 (best 0.7030)
2025-05-02 14:40:48 - Epoch 27, loss: 0.0000, val mf1: 0.7021, val ACC1: 0.6319, val ACC0: 0.8940, val Gmean: 0.7516 (best 0.7030)
2025-05-02 14:40:48 - Epoch 28, loss: 0.0000, val mf1: 0.7027, val ACC1: 0.6012, val ACC0: 0.9030, val Gmean: 0.7368 (best 0.7030)
2025-05-02 14:40:48 - Epoch 29, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6012, val ACC0: 0.9024, val Gmean: 0.7366 (best 0.7030)
2025-05-02 14:40:49 - Epoch 30, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:40:49 - Epoch 31, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:40:49 - Epoch 32, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:40:49 - Epoch 33, loss: 0.0000, val mf1: 0.7012, val ACC1: 0.6196, val ACC0: 0.8966, val Gmean: 0.7453 (best 0.7030)
2025-05-02 14:40:50 - Epoch 34, loss: 0.0000, val mf1: 0.7025, val ACC1: 0.6380, val ACC0: 0.8927, val Gmean: 0.7547 (best 0.7030)
2025-05-02 14:40:50 - Epoch 35, loss: 0.0000, val mf1: 0.7018, val ACC1: 0.6380, val ACC0: 0.8920, val Gmean: 0.7544 (best 0.7030)
2025-05-02 14:40:50 - Epoch 36, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:40:50 - Epoch 37, loss: 0.0000, val mf1: 0.7020, val ACC1: 0.6626, val ACC0: 0.8856, val Gmean: 0.7660 (best 0.7030)
2025-05-02 14:40:51 - Epoch 38, loss: 0.0000, val mf1: 0.7028, val ACC1: 0.6319, val ACC0: 0.8946, val Gmean: 0.7519 (best 0.7030)
2025-05-02 14:40:51 - Epoch 39, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:40:51 - Epoch 40, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:40:51 - Epoch 41, loss: 0.0000, val mf1: 0.7003, val ACC1: 0.6380, val ACC0: 0.8908, val Gmean: 0.7539 (best 0.7030)
2025-05-02 14:40:52 - Epoch 42, loss: 0.0000, val mf1: 0.7013, val ACC1: 0.6626, val ACC0: 0.8849, val Gmean: 0.7657 (best 0.7030)
2025-05-02 14:40:52 - Epoch 43, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:40:52 - Epoch 44, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:40:52 - Epoch 45, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:40:53 - Epoch 46, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:40:53 - Epoch 47, loss: 0.0000, val mf1: 0.6999, val ACC1: 0.6319, val ACC0: 0.8920, val Gmean: 0.7508 (best 0.7030)
2025-05-02 14:40:53 - Epoch 48, loss: 0.0000, val mf1: 0.7011, val ACC1: 0.6380, val ACC0: 0.8914, val Gmean: 0.7542 (best 0.7030)
2025-05-02 14:40:53 - Epoch 49, loss: 0.0000, val mf1: 0.6985, val ACC1: 0.6135, val ACC0: 0.8959, val Gmean: 0.7414 (best 0.7030)
2025-05-02 14:40:54 - Epoch 50, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:40:54 - Epoch 51, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:40:54 - Epoch 52, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:40:54 - Epoch 53, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:40:55 - Epoch 54, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:40:55 - Epoch 55, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:40:55 - Epoch 56, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:40:55 - Epoch 57, loss: 0.0000, val mf1: 0.6997, val ACC1: 0.6196, val ACC0: 0.8953, val Gmean: 0.7448 (best 0.7030)
2025-05-02 14:40:55 - Epoch 58, loss: 0.0000, val mf1: 0.7004, val ACC1: 0.6196, val ACC0: 0.8959, val Gmean: 0.7451 (best 0.7030)
2025-05-02 14:40:56 - Epoch 59, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:56 - Epoch 60, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:56 - Epoch 61, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:56 - Epoch 62, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:57 - Epoch 63, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:57 - Epoch 64, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:57 - Epoch 65, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:57 - Epoch 66, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:58 - Epoch 67, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:58 - Epoch 68, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:58 - Epoch 69, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:58 - Epoch 70, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:59 - Epoch 71, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:59 - Epoch 72, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:59 - Epoch 73, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:40:59 - Epoch 74, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:00 - Epoch 75, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:00 - Epoch 76, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:00 - Epoch 77, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:00 - Epoch 78, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:01 - Epoch 79, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:01 - Epoch 80, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:01 - Epoch 81, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:01 - Epoch 82, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:02 - Epoch 83, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:02 - Epoch 84, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:02 - Epoch 85, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:02 - Epoch 86, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:02 - Epoch 87, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:03 - Epoch 88, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:03 - Epoch 89, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:03 - Epoch 90, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:03 - Epoch 91, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:04 - Epoch 92, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:04 - Epoch 93, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:04 - Epoch 94, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:04 - Epoch 95, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:05 - Epoch 96, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:05 - Epoch 97, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:05 - Epoch 98, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:05 - Epoch 99, loss: 0.0000, val mf1: 0.6989, val ACC1: 0.6196, val ACC0: 0.8946, val Gmean: 0.7445 (best 0.7030)
2025-05-02 14:41:05 - time cost: 24.99 s
2025-05-02 14:41:05 - Test: REC 68.48 PRE 42.09 MF1 72.65 AUC 86.27 ACC1 68.48 ACC0 90.11 Gmean 78.56
