2021-12-13 13:17:40,594 - mmocr - INFO - workflow: [('train', 1)], max: 20 epochs 2021-12-13 13:48:23,756 - mmocr - INFO - Epoch [13][1000/10520] lr: 2.000e-05, eta: 1 day, 18:34:34, time: 1.843, data_time: 0.623, memory: 18342, loss_visual: 0.2915, loss_lang: 0.4969, loss_fusion: 0.2701, loss: 1.0585, grad_norm: 1.1439 2021-12-13 14:08:51,052 - mmocr - INFO - Epoch [13][2000/10520] lr: 2.000e-05, eta: 1 day, 11:02:10, time: 1.227, data_time: 0.005, memory: 18342, loss_visual: 0.2903, loss_lang: 0.4959, loss_fusion: 0.2690, loss: 1.0553, grad_norm: 1.1654 2021-12-13 14:29:19,983 - mmocr - INFO - Epoch [13][3000/10520] lr: 2.000e-05, eta: 1 day, 8:18:29, time: 1.229, data_time: 0.006, memory: 18342, loss_visual: 0.2893, loss_lang: 0.4945, loss_fusion: 0.2679, loss: 1.0516, grad_norm: 1.1471 2021-12-13 14:49:47,649 - mmocr - INFO - Epoch [13][4000/10520] lr: 2.000e-05, eta: 1 day, 6:46:00, time: 1.228, data_time: 0.005, memory: 18342, loss_visual: 0.2896, loss_lang: 0.4949, loss_fusion: 0.2684, loss: 1.0529, grad_norm: 1.1824 2021-12-13 15:10:14,214 - mmocr - INFO - Epoch [13][5000/10520] lr: 2.000e-05, eta: 1 day, 5:42:01, time: 1.227, data_time: 0.005, memory: 18342, loss_visual: 0.2896, loss_lang: 0.4948, loss_fusion: 0.2683, loss: 1.0528, grad_norm: 1.1535 2021-12-13 15:30:40,499 - mmocr - INFO - Epoch [13][6000/10520] lr: 2.000e-05, eta: 1 day, 4:52:30, time: 1.226, data_time: 0.006, memory: 18342, loss_visual: 0.2887, loss_lang: 0.4940, loss_fusion: 0.2673, loss: 1.0500, grad_norm: 1.1945 2021-12-13 15:51:08,510 - mmocr - INFO - Epoch [13][7000/10520] lr: 2.000e-05, eta: 1 day, 4:11:36, time: 1.228, data_time: 0.005, memory: 18342, loss_visual: 0.2885, loss_lang: 0.4935, loss_fusion: 0.2671, loss: 1.0490, grad_norm: 1.1840 2021-12-13 16:11:40,796 - mmocr - INFO - Epoch [13][8000/10520] lr: 2.000e-05, eta: 1 day, 3:36:29, time: 1.232, data_time: 0.005, memory: 18342, loss_visual: 0.2871, loss_lang: 0.4923, loss_fusion: 0.2658, loss: 1.0453, grad_norm: 1.1905 2021-12-13 16:32:08,192 - mmocr - INFO - Epoch [13][9000/10520] lr: 2.000e-05, eta: 1 day, 3:03:56, time: 1.227, data_time: 0.006, memory: 18342, loss_visual: 0.2869, loss_lang: 0.4918, loss_fusion: 0.2657, loss: 1.0443, grad_norm: 1.1629 2021-12-13 16:52:37,364 - mmocr - INFO - Epoch [13][10000/10520] lr: 2.000e-05, eta: 1 day, 2:34:01, time: 1.229, data_time: 0.006, memory: 18342, loss_visual: 0.2864, loss_lang: 0.4915, loss_fusion: 0.2650, loss: 1.0428, grad_norm: 1.1963 2021-12-13 17:03:20,543 - mmocr - INFO - Saving checkpoint at 13 epochs 2021-12-13 17:12:29,415 - mmocr - INFO - Evaluateing data/mixture/testset/IIIT5K/label.txt with 3000 images now 2021-12-13 17:12:29,491 - mmocr - INFO - Evaluateing data/mixture/testset/svt/test_list.txt with 647 images now 2021-12-13 17:12:29,501 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2013/1015_test_label.txt with 1015 images now 2021-12-13 17:12:29,515 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2015/test_label.txt with 2077 images now 2021-12-13 17:12:29,545 - mmocr - INFO - Evaluateing data/mixture/testset/svtp/imagelist.txt with 645 images now 2021-12-13 17:12:29,555 - mmocr - INFO - Evaluateing data/mixture/testset/ct80/imagelist.txt with 288 images now 2021-12-13 17:12:29,560 - mmocr - INFO - Exp name: abinet_train_reimplement_augv3.py 2021-12-13 17:12:29,560 - mmocr - INFO - Epoch(val) [13][959] 0_word_acc: 0.0763, 0_word_acc_ignore_case: 0.9537, 0_word_acc_ignore_case_symbol: 0.9537, 0_char_recall: 0.9887, 0_char_precision: 0.9862, 0_1-N.E.D: 0.9853, 1_word_acc: 0.9382, 1_word_acc_ignore_case: 0.9382, 1_word_acc_ignore_case_symbol: 0.9382, 1_char_recall: 0.9797, 1_char_precision: 0.9854, 1_1-N.E.D: 0.9763, 2_word_acc: 0.2926, 2_word_acc_ignore_case: 0.9527, 2_word_acc_ignore_case_symbol: 0.9527, 2_char_recall: 0.9905, 2_char_precision: 0.9891, 2_1-N.E.D: 0.9719, 3_word_acc: 0.1271, 3_word_acc_ignore_case: 0.7954, 3_word_acc_ignore_case_symbol: 0.8464, 3_char_recall: 0.9545, 3_char_precision: 0.9452, 3_1-N.E.D: 0.9365, 4_word_acc: 0.0000, 4_word_acc_ignore_case: 0.9023, 4_word_acc_ignore_case_symbol: 0.9023, 4_char_recall: 0.9533, 4_char_precision: 0.9673, 4_1-N.E.D: 0.9491, 5_word_acc: 0.1562, 5_word_acc_ignore_case: 0.8819, 5_word_acc_ignore_case_symbol: 0.8854, 5_char_recall: 0.9505, 5_char_precision: 0.9505, 5_1-N.E.D: 0.9556 2021-12-13 17:43:13,961 - mmocr - INFO - Epoch [14][1000/10520] lr: 2.000e-05, eta: 1 day, 1:49:09, time: 1.844, data_time: 0.620, memory: 18342, loss_visual: 0.2855, loss_lang: 0.4898, loss_fusion: 0.2642, loss: 1.0395, grad_norm: 1.1782 2021-12-13 18:03:41,808 - mmocr - INFO - Epoch [14][2000/10520] lr: 2.000e-05, eta: 1 day, 1:22:54, time: 1.228, data_time: 0.005, memory: 18342, loss_visual: 0.2869, loss_lang: 0.4916, loss_fusion: 0.2657, loss: 1.0442, grad_norm: 1.1893 2021-12-13 18:24:11,018 - mmocr - INFO - Epoch [14][3000/10520] lr: 2.000e-05, eta: 1 day, 0:57:37, time: 1.229, data_time: 0.006, memory: 18342, loss_visual: 0.2860, loss_lang: 0.4909, loss_fusion: 0.2648, loss: 1.0417, grad_norm: 1.2009 2021-12-13 18:44:39,405 - mmocr - INFO - Epoch [14][4000/10520] lr: 2.000e-05, eta: 1 day, 0:32:55, time: 1.228, data_time: 0.005, memory: 18342, loss_visual: 0.2862, loss_lang: 0.4909, loss_fusion: 0.2650, loss: 1.0421, grad_norm: 1.1833 2021-12-13 19:05:06,510 - mmocr - INFO - Epoch [14][5000/10520] lr: 2.000e-05, eta: 1 day, 0:08:41, time: 1.227, data_time: 0.005, memory: 18342, loss_visual: 0.2866, loss_lang: 0.4907, loss_fusion: 0.2652, loss: 1.0424, grad_norm: 1.2087 2021-12-13 19:25:34,786 - mmocr - INFO - Epoch [14][6000/10520] lr: 2.000e-05, eta: 23:44:58, time: 1.228, data_time: 0.005, memory: 18342, loss_visual: 0.2854, loss_lang: 0.4904, loss_fusion: 0.2643, loss: 1.0400, grad_norm: 1.2064 2021-12-13 19:46:03,163 - mmocr - INFO - Epoch [14][7000/10520] lr: 2.000e-05, eta: 23:21:39, time: 1.228, data_time: 0.005, memory: 18342, loss_visual: 0.2858, loss_lang: 0.4904, loss_fusion: 0.2645, loss: 1.0407, grad_norm: 1.1996 2021-12-13 20:06:32,672 - mmocr - INFO - Epoch [14][8000/10520] lr: 2.000e-05, eta: 22:58:42, time: 1.230, data_time: 0.005, memory: 18342, loss_visual: 0.2852, loss_lang: 0.4896, loss_fusion: 0.2639, loss: 1.0387, grad_norm: 1.2028 2021-12-13 20:27:02,704 - mmocr - INFO - Epoch [14][9000/10520] lr: 2.000e-05, eta: 22:36:02, time: 1.230, data_time: 0.005, memory: 18342, loss_visual: 0.2860, loss_lang: 0.4902, loss_fusion: 0.2648, loss: 1.0410, grad_norm: 1.2017 2021-12-13 20:47:32,265 - mmocr - INFO - Epoch [14][10000/10520] lr: 2.000e-05, eta: 22:13:32, time: 1.230, data_time: 0.005, memory: 18342, loss_visual: 0.2847, loss_lang: 0.4893, loss_fusion: 0.2635, loss: 1.0374, grad_norm: 1.2104 2021-12-13 20:58:14,423 - mmocr - INFO - Saving checkpoint at 14 epochs 2021-12-13 21:07:24,762 - mmocr - INFO - Evaluateing data/mixture/testset/IIIT5K/label.txt with 3000 images now 2021-12-13 21:07:24,817 - mmocr - INFO - Evaluateing data/mixture/testset/svt/test_list.txt with 647 images now 2021-12-13 21:07:24,826 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2013/1015_test_label.txt with 1015 images now 2021-12-13 21:07:24,841 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2015/test_label.txt with 2077 images now 2021-12-13 21:07:24,871 - mmocr - INFO - Evaluateing data/mixture/testset/svtp/imagelist.txt with 645 images now 2021-12-13 21:07:24,881 - mmocr - INFO - Evaluateing data/mixture/testset/ct80/imagelist.txt with 288 images now 2021-12-13 21:07:24,887 - mmocr - INFO - Exp name: abinet_train_reimplement_augv3.py 2021-12-13 21:07:24,887 - mmocr - INFO - Epoch(val) [14][959] 0_word_acc: 0.0763, 0_word_acc_ignore_case: 0.9543, 0_word_acc_ignore_case_symbol: 0.9543, 0_char_recall: 0.9888, 0_char_precision: 0.9868, 0_1-N.E.D: 0.9858, 1_word_acc: 0.9397, 1_word_acc_ignore_case: 0.9397, 1_word_acc_ignore_case_symbol: 0.9397, 1_char_recall: 0.9826, 1_char_precision: 0.9891, 1_1-N.E.D: 0.9790, 2_word_acc: 0.2926, 2_word_acc_ignore_case: 0.9527, 2_word_acc_ignore_case_symbol: 0.9527, 2_char_recall: 0.9898, 2_char_precision: 0.9878, 2_1-N.E.D: 0.9706, 3_word_acc: 0.1271, 3_word_acc_ignore_case: 0.7954, 3_word_acc_ignore_case_symbol: 0.8459, 3_char_recall: 0.9568, 3_char_precision: 0.9446, 3_1-N.E.D: 0.9372, 4_word_acc: 0.0000, 4_word_acc_ignore_case: 0.9008, 4_word_acc_ignore_case_symbol: 0.9008, 4_char_recall: 0.9541, 4_char_precision: 0.9668, 4_1-N.E.D: 0.9505, 5_word_acc: 0.1493, 5_word_acc_ignore_case: 0.8819, 5_word_acc_ignore_case_symbol: 0.8854, 5_char_recall: 0.9618, 5_char_precision: 0.9599, 5_1-N.E.D: 0.9581 2021-12-13 21:38:06,841 - mmocr - INFO - Epoch [15][1000/10520] lr: 2.000e-05, eta: 21:38:27, time: 1.842, data_time: 0.617, memory: 18342, loss_visual: 0.2832, loss_lang: 0.4868, loss_fusion: 0.2620, loss: 1.0321, grad_norm: 1.2203 2021-12-13 21:58:37,910 - mmocr - INFO - Epoch [15][2000/10520] lr: 2.000e-05, eta: 21:16:31, time: 1.231, data_time: 0.005, memory: 18342, loss_visual: 0.2847, loss_lang: 0.4891, loss_fusion: 0.2635, loss: 1.0372, grad_norm: 1.2036 2021-12-13 22:19:06,910 - mmocr - INFO - Epoch [15][3000/10520] lr: 2.000e-05, eta: 20:54:38, time: 1.229, data_time: 0.005, memory: 18342, loss_visual: 0.2843, loss_lang: 0.4879, loss_fusion: 0.2632, loss: 1.0354, grad_norm: 1.2099 2021-12-13 22:39:35,240 - mmocr - INFO - Epoch [15][4000/10520] lr: 2.000e-05, eta: 20:32:49, time: 1.228, data_time: 0.005, memory: 18342, loss_visual: 0.2825, loss_lang: 0.4871, loss_fusion: 0.2615, loss: 1.0311, grad_norm: 1.2224 2021-12-13 23:00:05,455 - mmocr - INFO - Epoch [15][5000/10520] lr: 2.000e-05, eta: 20:11:11, time: 1.230, data_time: 0.006, memory: 18342, loss_visual: 0.2842, loss_lang: 0.4885, loss_fusion: 0.2629, loss: 1.0356, grad_norm: 1.2407 2021-12-13 23:20:36,313 - mmocr - INFO - Epoch [15][6000/10520] lr: 2.000e-05, eta: 19:49:40, time: 1.231, data_time: 0.006, memory: 18342, loss_visual: 0.2835, loss_lang: 0.4879, loss_fusion: 0.2623, loss: 1.0337, grad_norm: 1.2380 2021-12-13 23:41:06,294 - mmocr - INFO - Epoch [15][7000/10520] lr: 2.000e-05, eta: 19:28:10, time: 1.230, data_time: 0.005, memory: 18342, loss_visual: 0.2830, loss_lang: 0.4871, loss_fusion: 0.2618, loss: 1.0320, grad_norm: 1.2482 2021-12-14 00:01:35,205 - mmocr - INFO - Epoch [15][8000/10520] lr: 2.000e-05, eta: 19:06:44, time: 1.229, data_time: 0.005, memory: 18342, loss_visual: 0.2844, loss_lang: 0.4883, loss_fusion: 0.2631, loss: 1.0358, grad_norm: 1.2641 2021-12-14 00:22:07,123 - mmocr - INFO - Epoch [15][9000/10520] lr: 2.000e-05, eta: 18:45:26, time: 1.232, data_time: 0.006, memory: 18342, loss_visual: 0.2831, loss_lang: 0.4867, loss_fusion: 0.2620, loss: 1.0319, grad_norm: 1.2442 2021-12-14 00:42:38,904 - mmocr - INFO - Epoch [15][10000/10520] lr: 2.000e-05, eta: 18:24:11, time: 1.232, data_time: 0.005, memory: 18342, loss_visual: 0.2820, loss_lang: 0.4855, loss_fusion: 0.2608, loss: 1.0282, grad_norm: 1.2480 2021-12-14 00:53:23,684 - mmocr - INFO - Saving checkpoint at 15 epochs 2021-12-14 01:02:27,419 - mmocr - INFO - Evaluateing data/mixture/testset/IIIT5K/label.txt with 3000 images now 2021-12-14 01:02:27,476 - mmocr - INFO - Evaluateing data/mixture/testset/svt/test_list.txt with 647 images now 2021-12-14 01:02:27,486 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2013/1015_test_label.txt with 1015 images now 2021-12-14 01:02:27,500 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2015/test_label.txt with 2077 images now 2021-12-14 01:02:27,530 - mmocr - INFO - Evaluateing data/mixture/testset/svtp/imagelist.txt with 645 images now 2021-12-14 01:02:27,540 - mmocr - INFO - Evaluateing data/mixture/testset/ct80/imagelist.txt with 288 images now 2021-12-14 01:02:27,545 - mmocr - INFO - Exp name: abinet_train_reimplement_augv3.py 2021-12-14 01:02:27,546 - mmocr - INFO - Epoch(val) [15][959] 0_word_acc: 0.0763, 0_word_acc_ignore_case: 0.9553, 0_word_acc_ignore_case_symbol: 0.9553, 0_char_recall: 0.9887, 0_char_precision: 0.9871, 0_1-N.E.D: 0.9858, 1_word_acc: 0.9444, 1_word_acc_ignore_case: 0.9444, 1_word_acc_ignore_case_symbol: 0.9444, 1_char_recall: 0.9826, 1_char_precision: 0.9886, 1_1-N.E.D: 0.9794, 2_word_acc: 0.2926, 2_word_acc_ignore_case: 0.9517, 2_word_acc_ignore_case_symbol: 0.9517, 2_char_recall: 0.9902, 2_char_precision: 0.9885, 2_1-N.E.D: 0.9725, 3_word_acc: 0.1271, 3_word_acc_ignore_case: 0.7925, 3_word_acc_ignore_case_symbol: 0.8426, 3_char_recall: 0.9565, 3_char_precision: 0.9446, 3_1-N.E.D: 0.9367, 4_word_acc: 0.0000, 4_word_acc_ignore_case: 0.8961, 4_word_acc_ignore_case_symbol: 0.8961, 4_char_recall: 0.9525, 4_char_precision: 0.9662, 4_1-N.E.D: 0.9463, 5_word_acc: 0.1528, 5_word_acc_ignore_case: 0.8819, 5_word_acc_ignore_case_symbol: 0.8854, 5_char_recall: 0.9561, 5_char_precision: 0.9549, 5_1-N.E.D: 0.9575 2021-12-14 01:33:05,826 - mmocr - INFO - Epoch [16][1000/10520] lr: 2.000e-05, eta: 17:51:04, time: 1.838, data_time: 0.615, memory: 18342, loss_visual: 0.2808, loss_lang: 0.4842, loss_fusion: 0.2599, loss: 1.0250, grad_norm: 1.2304 2021-12-14 01:53:37,679 - mmocr - INFO - Epoch [16][2000/10520] lr: 2.000e-05, eta: 17:29:58, time: 1.232, data_time: 0.006, memory: 18342, loss_visual: 0.2833, loss_lang: 0.4868, loss_fusion: 0.2621, loss: 1.0321, grad_norm: 1.2809 2021-12-14 02:14:11,620 - mmocr - INFO - Epoch [16][3000/10520] lr: 2.000e-05, eta: 17:08:57, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2825, loss_lang: 0.4859, loss_fusion: 0.2613, loss: 1.0297, grad_norm: 1.2597 2021-12-14 02:34:44,218 - mmocr - INFO - Epoch [16][4000/10520] lr: 2.000e-05, eta: 16:47:56, time: 1.233, data_time: 0.005, memory: 18342, loss_visual: 0.2815, loss_lang: 0.4851, loss_fusion: 0.2604, loss: 1.0270, grad_norm: 1.2699 2021-12-14 02:55:15,549 - mmocr - INFO - Epoch [16][5000/10520] lr: 2.000e-05, eta: 16:26:55, time: 1.231, data_time: 0.006, memory: 18342, loss_visual: 0.2828, loss_lang: 0.4857, loss_fusion: 0.2616, loss: 1.0301, grad_norm: 1.2660 2021-12-14 03:15:49,523 - mmocr - INFO - Epoch [16][6000/10520] lr: 2.000e-05, eta: 16:05:58, time: 1.234, data_time: 0.006, memory: 18342, loss_visual: 0.2806, loss_lang: 0.4835, loss_fusion: 0.2595, loss: 1.0235, grad_norm: 1.2657 2021-12-14 03:36:21,006 - mmocr - INFO - Epoch [16][7000/10520] lr: 2.000e-05, eta: 15:45:00, time: 1.231, data_time: 0.006, memory: 18342, loss_visual: 0.2808, loss_lang: 0.4847, loss_fusion: 0.2597, loss: 1.0251, grad_norm: 1.2665 2021-12-14 03:56:53,006 - mmocr - INFO - Epoch [16][8000/10520] lr: 2.000e-05, eta: 15:24:04, time: 1.232, data_time: 0.006, memory: 18342, loss_visual: 0.2816, loss_lang: 0.4854, loss_fusion: 0.2605, loss: 1.0275, grad_norm: 1.2654 2021-12-14 04:17:26,662 - mmocr - INFO - Epoch [16][9000/10520] lr: 2.000e-05, eta: 15:03:10, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2820, loss_lang: 0.4855, loss_fusion: 0.2609, loss: 1.0284, grad_norm: 1.2619 2021-12-14 04:38:00,801 - mmocr - INFO - Epoch [16][10000/10520] lr: 2.000e-05, eta: 14:42:18, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2810, loss_lang: 0.4842, loss_fusion: 0.2599, loss: 1.0251, grad_norm: 1.2645 2021-12-14 04:48:46,162 - mmocr - INFO - Saving checkpoint at 16 epochs 2021-12-14 04:57:55,642 - mmocr - INFO - Evaluateing data/mixture/testset/IIIT5K/label.txt with 3000 images now 2021-12-14 04:57:55,700 - mmocr - INFO - Evaluateing data/mixture/testset/svt/test_list.txt with 647 images now 2021-12-14 04:57:55,710 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2013/1015_test_label.txt with 1015 images now 2021-12-14 04:57:55,724 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2015/test_label.txt with 2077 images now 2021-12-14 04:57:55,754 - mmocr - INFO - Evaluateing data/mixture/testset/svtp/imagelist.txt with 645 images now 2021-12-14 04:57:55,764 - mmocr - INFO - Evaluateing data/mixture/testset/ct80/imagelist.txt with 288 images now 2021-12-14 04:57:55,769 - mmocr - INFO - Exp name: abinet_train_reimplement_augv3.py 2021-12-14 04:57:55,769 - mmocr - INFO - Epoch(val) [16][959] 0_word_acc: 0.0767, 0_word_acc_ignore_case: 0.9560, 0_word_acc_ignore_case_symbol: 0.9560, 0_char_recall: 0.9885, 0_char_precision: 0.9870, 0_1-N.E.D: 0.9860, 1_word_acc: 0.9444, 1_word_acc_ignore_case: 0.9444, 1_word_acc_ignore_case_symbol: 0.9444, 1_char_recall: 0.9831, 1_char_precision: 0.9910, 1_1-N.E.D: 0.9808, 2_word_acc: 0.2916, 2_word_acc_ignore_case: 0.9547, 2_word_acc_ignore_case_symbol: 0.9547, 2_char_recall: 0.9902, 2_char_precision: 0.9894, 2_1-N.E.D: 0.9726, 3_word_acc: 0.1281, 3_word_acc_ignore_case: 0.7963, 3_word_acc_ignore_case_symbol: 0.8474, 3_char_recall: 0.9571, 3_char_precision: 0.9452, 3_1-N.E.D: 0.9381, 4_word_acc: 0.0000, 4_word_acc_ignore_case: 0.8992, 4_word_acc_ignore_case_symbol: 0.8992, 4_char_recall: 0.9538, 4_char_precision: 0.9686, 4_1-N.E.D: 0.9493, 5_word_acc: 0.1597, 5_word_acc_ignore_case: 0.8889, 5_word_acc_ignore_case_symbol: 0.8924, 5_char_recall: 0.9536, 5_char_precision: 0.9524, 5_1-N.E.D: 0.9593 2021-12-14 05:28:37,393 - mmocr - INFO - Epoch [17][1000/10520] lr: 2.000e-05, eta: 14:10:04, time: 1.842, data_time: 0.618, memory: 18342, loss_visual: 0.2802, loss_lang: 0.4837, loss_fusion: 0.2591, loss: 1.0230, grad_norm: 1.2779 2021-12-14 05:49:11,062 - mmocr - INFO - Epoch [17][2000/10520] lr: 2.000e-05, eta: 13:49:15, time: 1.234, data_time: 0.006, memory: 18342, loss_visual: 0.2794, loss_lang: 0.4824, loss_fusion: 0.2583, loss: 1.0201, grad_norm: 1.2735 2021-12-14 06:09:46,274 - mmocr - INFO - Epoch [17][3000/10520] lr: 2.000e-05, eta: 13:28:29, time: 1.235, data_time: 0.006, memory: 18342, loss_visual: 0.2793, loss_lang: 0.4825, loss_fusion: 0.2583, loss: 1.0201, grad_norm: 1.2882 2021-12-14 06:30:19,290 - mmocr - INFO - Epoch [17][4000/10520] lr: 2.000e-05, eta: 13:07:41, time: 1.233, data_time: 0.004, memory: 18342, loss_visual: 0.2809, loss_lang: 0.4837, loss_fusion: 0.2598, loss: 1.0245, grad_norm: 1.2889 2021-12-14 06:50:54,293 - mmocr - INFO - Epoch [17][5000/10520] lr: 2.000e-05, eta: 12:46:55, time: 1.235, data_time: 0.005, memory: 18342, loss_visual: 0.2797, loss_lang: 0.4825, loss_fusion: 0.2586, loss: 1.0208, grad_norm: 1.2886 2021-12-14 07:11:29,654 - mmocr - INFO - Epoch [17][6000/10520] lr: 2.000e-05, eta: 12:26:09, time: 1.235, data_time: 0.005, memory: 18342, loss_visual: 0.2801, loss_lang: 0.4832, loss_fusion: 0.2591, loss: 1.0224, grad_norm: 1.2738 2021-12-14 07:32:05,906 - mmocr - INFO - Epoch [17][7000/10520] lr: 2.000e-05, eta: 12:05:25, time: 1.236, data_time: 0.006, memory: 18342, loss_visual: 0.2808, loss_lang: 0.4837, loss_fusion: 0.2597, loss: 1.0241, grad_norm: 1.2858 2021-12-14 07:52:41,095 - mmocr - INFO - Epoch [17][8000/10520] lr: 2.000e-05, eta: 11:44:41, time: 1.235, data_time: 0.005, memory: 18342, loss_visual: 0.2801, loss_lang: 0.4834, loss_fusion: 0.2592, loss: 1.0227, grad_norm: 1.2982 2021-12-14 08:13:14,724 - mmocr - INFO - Epoch [17][9000/10520] lr: 2.000e-05, eta: 11:23:56, time: 1.234, data_time: 0.006, memory: 18342, loss_visual: 0.2797, loss_lang: 0.4831, loss_fusion: 0.2585, loss: 1.0213, grad_norm: 1.2911 2021-12-14 08:33:47,852 - mmocr - INFO - Epoch [17][10000/10520] lr: 2.000e-05, eta: 11:03:10, time: 1.233, data_time: 0.005, memory: 18342, loss_visual: 0.2792, loss_lang: 0.4822, loss_fusion: 0.2581, loss: 1.0195, grad_norm: 1.2877 2021-12-14 08:44:33,029 - mmocr - INFO - Saving checkpoint at 17 epochs 2021-12-14 08:53:36,102 - mmocr - INFO - Evaluateing data/mixture/testset/IIIT5K/label.txt with 3000 images now 2021-12-14 08:53:36,156 - mmocr - INFO - Evaluateing data/mixture/testset/svt/test_list.txt with 647 images now 2021-12-14 08:53:36,166 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2013/1015_test_label.txt with 1015 images now 2021-12-14 08:53:36,179 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2015/test_label.txt with 2077 images now 2021-12-14 08:53:36,211 - mmocr - INFO - Evaluateing data/mixture/testset/svtp/imagelist.txt with 645 images now 2021-12-14 08:53:36,221 - mmocr - INFO - Evaluateing data/mixture/testset/ct80/imagelist.txt with 288 images now 2021-12-14 08:53:36,226 - mmocr - INFO - Exp name: abinet_train_reimplement_augv3.py 2021-12-14 08:53:36,227 - mmocr - INFO - Epoch(val) [17][959] 0_word_acc: 0.0757, 0_word_acc_ignore_case: 0.9593, 0_word_acc_ignore_case_symbol: 0.9593, 0_char_recall: 0.9897, 0_char_precision: 0.9877, 0_1-N.E.D: 0.9865, 1_word_acc: 0.9459, 1_word_acc_ignore_case: 0.9459, 1_word_acc_ignore_case_symbol: 0.9459, 1_char_recall: 0.9839, 1_char_precision: 0.9897, 1_1-N.E.D: 0.9800, 2_word_acc: 0.2936, 2_word_acc_ignore_case: 0.9557, 2_word_acc_ignore_case_symbol: 0.9557, 2_char_recall: 0.9911, 2_char_precision: 0.9898, 2_1-N.E.D: 0.9741, 3_word_acc: 0.1295, 3_word_acc_ignore_case: 0.7987, 3_word_acc_ignore_case_symbol: 0.8498, 3_char_recall: 0.9577, 3_char_precision: 0.9470, 3_1-N.E.D: 0.9389, 4_word_acc: 0.0000, 4_word_acc_ignore_case: 0.8992, 4_word_acc_ignore_case_symbol: 0.8992, 4_char_recall: 0.9556, 4_char_precision: 0.9697, 4_1-N.E.D: 0.9504, 5_word_acc: 0.1597, 5_word_acc_ignore_case: 0.9028, 5_word_acc_ignore_case_symbol: 0.9062, 5_char_recall: 0.9561, 5_char_precision: 0.9567, 5_1-N.E.D: 0.9633 2021-12-14 09:24:17,627 - mmocr - INFO - Epoch [18][1000/10520] lr: 2.000e-05, eta: 10:31:20, time: 1.841, data_time: 0.619, memory: 18342, loss_visual: 0.2792, loss_lang: 0.4817, loss_fusion: 0.2581, loss: 1.0190, grad_norm: 1.2782 2021-12-14 09:44:50,322 - mmocr - INFO - Epoch [18][2000/10520] lr: 2.000e-05, eta: 10:10:37, time: 1.233, data_time: 0.005, memory: 18342, loss_visual: 0.2789, loss_lang: 0.4817, loss_fusion: 0.2578, loss: 1.0184, grad_norm: 1.2734 2021-12-14 10:05:25,109 - mmocr - INFO - Epoch [18][3000/10520] lr: 2.000e-05, eta: 9:49:55, time: 1.235, data_time: 0.006, memory: 18342, loss_visual: 0.2782, loss_lang: 0.4808, loss_fusion: 0.2571, loss: 1.0161, grad_norm: 1.3149 2021-12-14 10:26:01,539 - mmocr - INFO - Epoch [18][4000/10520] lr: 2.000e-05, eta: 9:29:14, time: 1.236, data_time: 0.005, memory: 18342, loss_visual: 0.2800, loss_lang: 0.4830, loss_fusion: 0.2590, loss: 1.0220, grad_norm: 1.2948 2021-12-14 10:46:36,559 - mmocr - INFO - Epoch [18][5000/10520] lr: 2.000e-05, eta: 9:08:33, time: 1.235, data_time: 0.005, memory: 18342, loss_visual: 0.2784, loss_lang: 0.4807, loss_fusion: 0.2573, loss: 1.0165, grad_norm: 1.3090 2021-12-14 11:07:10,480 - mmocr - INFO - Epoch [18][6000/10520] lr: 2.000e-05, eta: 8:47:51, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2794, loss_lang: 0.4823, loss_fusion: 0.2584, loss: 1.0201, grad_norm: 1.2891 2021-12-14 11:30:00,238 - mmocr - INFO - Epoch [18][7000/10520] lr: 2.000e-05, eta: 8:28:06, time: 1.370, data_time: 0.005, memory: 18342, loss_visual: 0.2777, loss_lang: 0.4801, loss_fusion: 0.2566, loss: 1.0144, grad_norm: 1.3177 2021-12-14 11:50:34,159 - mmocr - INFO - Epoch [18][8000/10520] lr: 2.000e-05, eta: 8:07:22, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2780, loss_lang: 0.4808, loss_fusion: 0.2569, loss: 1.0157, grad_norm: 1.2944 2021-12-14 12:11:07,388 - mmocr - INFO - Epoch [18][9000/10520] lr: 2.000e-05, eta: 7:46:38, time: 1.233, data_time: 0.005, memory: 18342, loss_visual: 0.2790, loss_lang: 0.4816, loss_fusion: 0.2579, loss: 1.0185, grad_norm: 1.3340 2021-12-14 12:31:41,568 - mmocr - INFO - Epoch [18][10000/10520] lr: 2.000e-05, eta: 7:25:54, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2774, loss_lang: 0.4798, loss_fusion: 0.2564, loss: 1.0136, grad_norm: 1.2996 2021-12-14 12:42:26,031 - mmocr - INFO - Saving checkpoint at 18 epochs 2021-12-14 12:51:33,362 - mmocr - INFO - Evaluateing data/mixture/testset/IIIT5K/label.txt with 3000 images now 2021-12-14 12:51:33,418 - mmocr - INFO - Evaluateing data/mixture/testset/svt/test_list.txt with 647 images now 2021-12-14 12:51:33,428 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2013/1015_test_label.txt with 1015 images now 2021-12-14 12:51:33,442 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2015/test_label.txt with 2077 images now 2021-12-14 12:51:33,475 - mmocr - INFO - Evaluateing data/mixture/testset/svtp/imagelist.txt with 645 images now 2021-12-14 12:51:33,485 - mmocr - INFO - Evaluateing data/mixture/testset/ct80/imagelist.txt with 288 images now 2021-12-14 12:51:33,491 - mmocr - INFO - Exp name: abinet_train_reimplement_augv3.py 2021-12-14 12:51:33,491 - mmocr - INFO - Epoch(val) [18][959] 0_word_acc: 0.0763, 0_word_acc_ignore_case: 0.9573, 0_word_acc_ignore_case_symbol: 0.9573, 0_char_recall: 0.9887, 0_char_precision: 0.9875, 0_1-N.E.D: 0.9869, 1_word_acc: 0.9459, 1_word_acc_ignore_case: 0.9459, 1_word_acc_ignore_case_symbol: 0.9459, 1_char_recall: 0.9834, 1_char_precision: 0.9881, 1_1-N.E.D: 0.9797, 2_word_acc: 0.2936, 2_word_acc_ignore_case: 0.9567, 2_word_acc_ignore_case_symbol: 0.9567, 2_char_recall: 0.9907, 2_char_precision: 0.9894, 2_1-N.E.D: 0.9727, 3_word_acc: 0.1295, 3_word_acc_ignore_case: 0.7992, 3_word_acc_ignore_case_symbol: 0.8507, 3_char_recall: 0.9583, 3_char_precision: 0.9458, 3_1-N.E.D: 0.9395, 4_word_acc: 0.0000, 4_word_acc_ignore_case: 0.9039, 4_word_acc_ignore_case_symbol: 0.9039, 4_char_recall: 0.9562, 4_char_precision: 0.9674, 4_1-N.E.D: 0.9520, 5_word_acc: 0.1632, 5_word_acc_ignore_case: 0.8993, 5_word_acc_ignore_case_symbol: 0.9028, 5_char_recall: 0.9580, 5_char_precision: 0.9568, 5_1-N.E.D: 0.9639 2021-12-14 13:22:12,662 - mmocr - INFO - Epoch [19][1000/10520] lr: 2.000e-05, eta: 6:54:13, time: 1.839, data_time: 0.617, memory: 18342, loss_visual: 0.2778, loss_lang: 0.4797, loss_fusion: 0.2567, loss: 1.0142, grad_norm: 1.3113 2021-12-14 13:42:46,384 - mmocr - INFO - Epoch [19][2000/10520] lr: 2.000e-05, eta: 6:33:31, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2774, loss_lang: 0.4795, loss_fusion: 0.2563, loss: 1.0132, grad_norm: 1.3150 2021-12-14 14:03:19,489 - mmocr - INFO - Epoch [19][3000/10520] lr: 2.000e-05, eta: 6:12:49, time: 1.233, data_time: 0.005, memory: 18342, loss_visual: 0.2769, loss_lang: 0.4791, loss_fusion: 0.2560, loss: 1.0120, grad_norm: 1.3249 2021-12-14 14:23:53,120 - mmocr - INFO - Epoch [19][4000/10520] lr: 2.000e-05, eta: 5:52:08, time: 1.234, data_time: 0.006, memory: 18342, loss_visual: 0.2770, loss_lang: 0.4796, loss_fusion: 0.2559, loss: 1.0125, grad_norm: 1.3217 2021-12-14 14:44:27,020 - mmocr - INFO - Epoch [19][5000/10520] lr: 2.000e-05, eta: 5:31:26, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2776, loss_lang: 0.4802, loss_fusion: 0.2565, loss: 1.0143, grad_norm: 1.3005 2021-12-14 15:05:00,076 - mmocr - INFO - Epoch [19][6000/10520] lr: 2.000e-05, eta: 5:10:45, time: 1.233, data_time: 0.006, memory: 18342, loss_visual: 0.2771, loss_lang: 0.4796, loss_fusion: 0.2562, loss: 1.0129, grad_norm: 1.3313 2021-12-14 15:25:34,933 - mmocr - INFO - Epoch [19][7000/10520] lr: 2.000e-05, eta: 4:50:04, time: 1.235, data_time: 0.006, memory: 18342, loss_visual: 0.2774, loss_lang: 0.4802, loss_fusion: 0.2563, loss: 1.0139, grad_norm: 1.3137 2021-12-14 15:46:10,944 - mmocr - INFO - Epoch [19][8000/10520] lr: 2.000e-05, eta: 4:29:24, time: 1.236, data_time: 0.005, memory: 18342, loss_visual: 0.2779, loss_lang: 0.4799, loss_fusion: 0.2569, loss: 1.0147, grad_norm: 1.3613 2021-12-14 16:06:43,967 - mmocr - INFO - Epoch [19][9000/10520] lr: 2.000e-05, eta: 4:08:43, time: 1.233, data_time: 0.005, memory: 18342, loss_visual: 0.2767, loss_lang: 0.4792, loss_fusion: 0.2556, loss: 1.0116, grad_norm: 1.3275 2021-12-14 16:27:16,334 - mmocr - INFO - Epoch [19][10000/10520] lr: 2.000e-05, eta: 3:48:03, time: 1.232, data_time: 0.006, memory: 18342, loss_visual: 0.2777, loss_lang: 0.4799, loss_fusion: 0.2568, loss: 1.0144, grad_norm: 1.3231 2021-12-14 16:38:04,534 - mmocr - INFO - Saving checkpoint at 19 epochs 2021-12-14 16:47:14,316 - mmocr - INFO - Evaluateing data/mixture/testset/IIIT5K/label.txt with 3000 images now 2021-12-14 16:47:14,371 - mmocr - INFO - Evaluateing data/mixture/testset/svt/test_list.txt with 647 images now 2021-12-14 16:47:14,381 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2013/1015_test_label.txt with 1015 images now 2021-12-14 16:47:14,395 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2015/test_label.txt with 2077 images now 2021-12-14 16:47:14,425 - mmocr - INFO - Evaluateing data/mixture/testset/svtp/imagelist.txt with 645 images now 2021-12-14 16:47:14,435 - mmocr - INFO - Evaluateing data/mixture/testset/ct80/imagelist.txt with 288 images now 2021-12-14 16:47:14,441 - mmocr - INFO - Exp name: abinet_train_reimplement_augv3.py 2021-12-14 16:47:14,441 - mmocr - INFO - Epoch(val) [19][959] 0_word_acc: 0.0757, 0_word_acc_ignore_case: 0.9560, 0_word_acc_ignore_case_symbol: 0.9560, 0_char_recall: 0.9887, 0_char_precision: 0.9868, 0_1-N.E.D: 0.9856, 1_word_acc: 0.9444, 1_word_acc_ignore_case: 0.9444, 1_word_acc_ignore_case_symbol: 0.9444, 1_char_recall: 0.9826, 1_char_precision: 0.9889, 1_1-N.E.D: 0.9792, 2_word_acc: 0.2936, 2_word_acc_ignore_case: 0.9527, 2_word_acc_ignore_case_symbol: 0.9527, 2_char_recall: 0.9891, 2_char_precision: 0.9889, 2_1-N.E.D: 0.9721, 3_word_acc: 0.1286, 3_word_acc_ignore_case: 0.7968, 3_word_acc_ignore_case_symbol: 0.8479, 3_char_recall: 0.9574, 3_char_precision: 0.9448, 3_1-N.E.D: 0.9381, 4_word_acc: 0.0000, 4_word_acc_ignore_case: 0.9039, 4_word_acc_ignore_case_symbol: 0.9039, 4_char_recall: 0.9546, 4_char_precision: 0.9668, 4_1-N.E.D: 0.9504, 5_word_acc: 0.1528, 5_word_acc_ignore_case: 0.8889, 5_word_acc_ignore_case_symbol: 0.8924, 5_char_recall: 0.9586, 5_char_precision: 0.9568, 5_1-N.E.D: 0.9566 2021-12-14 17:17:49,768 - mmocr - INFO - Epoch [20][1000/10520] lr: 2.000e-05, eta: 3:16:33, time: 1.835, data_time: 0.614, memory: 18342, loss_visual: 0.2776, loss_lang: 0.4793, loss_fusion: 0.2565, loss: 1.0135, grad_norm: 1.3288 2021-12-14 17:38:18,060 - mmocr - INFO - Epoch [20][2000/10520] lr: 2.000e-05, eta: 2:55:53, time: 1.228, data_time: 0.006, memory: 18342, loss_visual: 0.2770, loss_lang: 0.4790, loss_fusion: 0.2561, loss: 1.0122, grad_norm: 1.3390 2021-12-14 17:58:50,868 - mmocr - INFO - Epoch [20][3000/10520] lr: 2.000e-05, eta: 2:35:13, time: 1.233, data_time: 0.006, memory: 18342, loss_visual: 0.2774, loss_lang: 0.4791, loss_fusion: 0.2562, loss: 1.0127, grad_norm: 1.3338 2021-12-14 18:19:25,027 - mmocr - INFO - Epoch [20][4000/10520] lr: 2.000e-05, eta: 2:14:34, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2770, loss_lang: 0.4788, loss_fusion: 0.2560, loss: 1.0118, grad_norm: 1.3448 2021-12-14 18:39:59,334 - mmocr - INFO - Epoch [20][5000/10520] lr: 2.000e-05, eta: 1:53:56, time: 1.234, data_time: 0.006, memory: 18342, loss_visual: 0.2761, loss_lang: 0.4785, loss_fusion: 0.2553, loss: 1.0099, grad_norm: 1.3505 2021-12-14 19:00:33,551 - mmocr - INFO - Epoch [20][6000/10520] lr: 2.000e-05, eta: 1:33:17, time: 1.234, data_time: 0.005, memory: 18342, loss_visual: 0.2763, loss_lang: 0.4781, loss_fusion: 0.2554, loss: 1.0099, grad_norm: 1.3162 2021-12-14 19:21:11,895 - mmocr - INFO - Epoch [20][7000/10520] lr: 2.000e-05, eta: 1:12:39, time: 1.238, data_time: 0.006, memory: 18342, loss_visual: 0.2770, loss_lang: 0.4791, loss_fusion: 0.2559, loss: 1.0120, grad_norm: 1.3121 2021-12-14 19:41:46,707 - mmocr - INFO - Epoch [20][8000/10520] lr: 2.000e-05, eta: 0:52:00, time: 1.235, data_time: 0.005, memory: 18342, loss_visual: 0.2758, loss_lang: 0.4782, loss_fusion: 0.2548, loss: 1.0089, grad_norm: 1.3046 2021-12-14 20:04:48,088 - mmocr - INFO - Epoch [20][9000/10520] lr: 2.000e-05, eta: 0:31:24, time: 1.381, data_time: 0.005, memory: 18342, loss_visual: 0.2760, loss_lang: 0.4779, loss_fusion: 0.2549, loss: 1.0088, grad_norm: 1.3328 2021-12-14 20:25:20,456 - mmocr - INFO - Epoch [20][10000/10520] lr: 2.000e-05, eta: 0:10:44, time: 1.232, data_time: 0.005, memory: 18342, loss_visual: 0.2757, loss_lang: 0.4773, loss_fusion: 0.2546, loss: 1.0077, grad_norm: 1.3057 2021-12-14 20:36:06,073 - mmocr - INFO - Saving checkpoint at 20 epochs 2021-12-14 20:45:12,751 - mmocr - INFO - Evaluateing data/mixture/testset/IIIT5K/label.txt with 3000 images now 2021-12-14 20:45:12,825 - mmocr - INFO - Evaluateing data/mixture/testset/svt/test_list.txt with 647 images now 2021-12-14 20:45:12,834 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2013/1015_test_label.txt with 1015 images now 2021-12-14 20:45:12,848 - mmocr - INFO - Evaluateing data/mixture/testset/icdar_2015/test_label.txt with 2077 images now 2021-12-14 20:45:12,878 - mmocr - INFO - Evaluateing data/mixture/testset/svtp/imagelist.txt with 645 images now 2021-12-14 20:45:12,888 - mmocr - INFO - Evaluateing data/mixture/testset/ct80/imagelist.txt with 288 images now 2021-12-14 20:45:12,893 - mmocr - INFO - Exp name: abinet_train_reimplement_augv3.py 2021-12-14 20:45:12,893 - mmocr - INFO - Epoch(val) [20][959] 0_word_acc: 0.0770, 0_word_acc_ignore_case: 0.9570, 0_word_acc_ignore_case_symbol: 0.9570, 0_char_recall: 0.9895, 0_char_precision: 0.9878, 0_1-N.E.D: 0.9869, 1_word_acc: 0.9459, 1_word_acc_ignore_case: 0.9459, 1_word_acc_ignore_case_symbol: 0.9459, 1_char_recall: 0.9839, 1_char_precision: 0.9902, 1_1-N.E.D: 0.9804, 2_word_acc: 0.2926, 2_word_acc_ignore_case: 0.9547, 2_word_acc_ignore_case_symbol: 0.9547, 2_char_recall: 0.9904, 2_char_precision: 0.9887, 2_1-N.E.D: 0.9714, 3_word_acc: 0.1281, 3_word_acc_ignore_case: 0.7954, 3_word_acc_ignore_case_symbol: 0.8479, 3_char_recall: 0.9563, 3_char_precision: 0.9458, 3_1-N.E.D: 0.9366, 4_word_acc: 0.0000, 4_word_acc_ignore_case: 0.9023, 4_word_acc_ignore_case_symbol: 0.9023, 4_char_recall: 0.9548, 4_char_precision: 0.9681, 4_1-N.E.D: 0.9518, 5_word_acc: 0.1562, 5_word_acc_ignore_case: 0.8958, 5_word_acc_ignore_case_symbol: 0.8993, 5_char_recall: 0.9599, 5_char_precision: 0.9635, 5_1-N.E.D: 0.9631