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nohup_attre.txt
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nohup_attre.txt
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load arguments: {'training_data': '../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/', 'output': '../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/', 'dataset_division': '541_5fold', 'embedding_module': 'AttrE', 'alignment_module': 'sharing', 'search_module': 'greedy', 'dim': 100, 'init': 'normal', 'ent_l2_norm': True, 'rel_l2_norm': True, 'attr_l2_norm': True, 'char_l2_norm': True, 'loss_norm': 'L2', 'margin': 1.5, 'loss': 'margin-based', 'neg_sampling': 'uniform', 'neg_triple_num': 1, 'learning_rate': 0.01, 'optimizer': 'SGD', 'max_epoch': 2000, 'batch_size': 5000, 'batch_threads_num': 2, 'test_threads_num': 4, 'ordered': True, 'start_valid': 100, 'eval_freq': 10, 'stop_metric': 'hits1', 'eval_metric': 'inner', 'csls': 10, 'top_k': [1, 5, 10, 50], 'is_save': True, 'eval_norm': True, 'literal_len': 5}
AttrE
<openea.modules.args.args_hander.ARGs object at 0x7f875bfc2978>
read relation triples: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Basic-Basic/rel_triples_1
read relation triples: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Basic-Basic/rel_triples_2
read attribute triples: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Basic-Basic/attr_triples_1
read attribute triples: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Basic-Basic/attr_triples_2
read links: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Basic-Basic/541_5fold/1/train_links
read links: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Basic-Basic/541_5fold/1/valid_links
read links: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Basic-Basic/541_5fold/1/test_links
Number of rt_dict: 20000
Number of hr_dict: 1
entity relations dict: 20000
Number of av_dict: 20000
entity attributes dict: 20000
KG statistics:
Number of entities: 20001
Number of relations: 1
Number of attributes: 23
Number of relation triples: 20000
Number of attribute triples: 459923
Number of local relation triples: 20000
Number of local attribute triples: 459923
Number of rt_dict: 20000
Number of hr_dict: 1
entity relations dict: 20000
Number of av_dict: 20000
entity attributes dict: 20000
KG statistics:
Number of entities: 20001
Number of relations: 1
Number of attributes: 23
Number of relation triples: 20000
Number of attribute triples: 459923
Number of local relation triples: 20000
Number of local attribute triples: 459923
Number of rt_dict: 20000
Number of hr_dict: 1
entity relations dict: 20000
Number of av_dict: 20000
entity attributes dict: 20000
KG statistics:
Number of entities: 20001
Number of relations: 1
Number of attributes: 23
Number of relation triples: 20000
Number of attribute triples: 459923
Number of local relation triples: 20000
Number of local attribute triples: 459923
Number of rt_dict: 20000
Number of hr_dict: 1
entity relations dict: 20000
Number of av_dict: 20000
entity attributes dict: 20000
KG statistics:
Number of entities: 20001
Number of relations: 1
Number of attributes: 23
Number of relation triples: 20000
Number of attribute triples: 459923
Number of local relation triples: 20000
Number of local attribute triples: 459923
../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/ ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Basic-Basic/ ['..', '..', 'OntologySummit', 'AirlinesCustomerSatisfaction', 'EntityAlignment', 'Basic-Basic'] 541_5fold/1/ AttrE
results output folder: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/AttrE/Basic-Basic/541_5fold/1/20231103192521/
epoch 1, avg. triple loss: 1.1915, cost time: 3.0876s
epoch 1, CE, avg. triple loss: 1.4038, cost time: 72.1614s
epoch 1, joint learning loss: 0.8633, time: 2.6768s
epoch 2, avg. triple loss: 0.6908, cost time: 4.7044s
epoch 2, CE, avg. triple loss: 1.1924, cost time: 82.5354s
epoch 2, joint learning loss: 0.6069, time: 3.9543s
epoch 3, avg. triple loss: 0.3724, cost time: 7.3479s
epoch 3, CE, avg. triple loss: 1.1277, cost time: 135.8257s
epoch 3, joint learning loss: 0.4241, time: 5.0225s
epoch 4, avg. triple loss: 0.2063, cost time: 10.0957s
epoch 4, CE, avg. triple loss: 1.0959, cost time: 134.7928s
epoch 4, joint learning loss: 0.3006, time: 4.8865s
epoch 5, avg. triple loss: 0.1258, cost time: 8.0064s
epoch 5, CE, avg. triple loss: 1.0766, cost time: 137.9338s
epoch 5, joint learning loss: 0.2183, time: 5.9243s
epoch 6, avg. triple loss: 0.0870, cost time: 11.7673s
epoch 6, CE, avg. triple loss: 1.0644, cost time: 126.5646s
epoch 6, joint learning loss: 0.1625, time: 3.8211s
epoch 7, avg. triple loss: 0.0671, cost time: 6.3201s
epoch 7, CE, avg. triple loss: 1.0539, cost time: 130.7565s
epoch 7, joint learning loss: 0.1240, time: 3.9280s
epoch 8, avg. triple loss: 0.0563, cost time: 5.7270s
epoch 8, CE, avg. triple loss: 1.0455, cost time: 125.1293s
epoch 8, joint learning loss: 0.0969, time: 4.0629s
epoch 9, avg. triple loss: 0.0482, cost time: 9.5016s
epoch 9, CE, avg. triple loss: 1.0380, cost time: 127.3326s
epoch 9, joint learning loss: 0.0775, time: 4.2611s
epoch 10, avg. triple loss: 0.0429, cost time: 7.2429s
epoch 10, CE, avg. triple loss: 1.0339, cost time: 133.5529s
epoch 10, joint learning loss: 0.0632, time: 4.4852s
epoch 11, avg. triple loss: 0.0411, cost time: 7.1607s
epoch 11, CE, avg. triple loss: 1.0302, cost time: 138.7655s
epoch 11, joint learning loss: 0.0525, time: 3.3354s
epoch 12, avg. triple loss: 0.0383, cost time: 8.3323s
epoch 12, CE, avg. triple loss: 1.0251, cost time: 139.2156s
epoch 12, joint learning loss: 0.0444, time: 4.4923s
epoch 13, avg. triple loss: 0.0376, cost time: 5.9196s
epoch 13, CE, avg. triple loss: 1.0220, cost time: 136.1336s
epoch 13, joint learning loss: 0.0382, time: 4.3365s
epoch 14, avg. triple loss: 0.0363, cost time: 9.2881s
epoch 14, CE, avg. triple loss: 1.0180, cost time: 133.3493s
epoch 14, joint learning loss: 0.0334, time: 3.7951s
epoch 15, avg. triple loss: 0.0358, cost time: 13.8517s
epoch 15, CE, avg. triple loss: 1.0152, cost time: 132.6467s
epoch 15, joint learning loss: 0.0294, time: 4.8428s
epoch 16, avg. triple loss: 0.0364, cost time: 7.1831s
epoch 16, CE, avg. triple loss: 1.0125, cost time: 140.3208s
epoch 16, joint learning loss: 0.0263, time: 3.6786s
epoch 17, avg. triple loss: 0.0359, cost time: 7.7598s
epoch 17, CE, avg. triple loss: 1.0112, cost time: 133.0357s
epoch 17, joint learning loss: 0.0238, time: 4.3789s
epoch 18, avg. triple loss: 0.0351, cost time: 9.0187s
epoch 18, CE, avg. triple loss: 1.0093, cost time: 123.9120s
epoch 18, joint learning loss: 0.0216, time: 4.5208s
epoch 19, avg. triple loss: 0.0359, cost time: 11.3190s
epoch 19, CE, avg. triple loss: 1.0053, cost time: 118.4534s
epoch 19, joint learning loss: 0.0199, time: 3.7590s
epoch 20, avg. triple loss: 0.0347, cost time: 7.8630s
epoch 20, CE, avg. triple loss: 1.0048, cost time: 129.1590s
epoch 20, joint learning loss: 0.0184, time: 4.0145s
epoch 21, avg. triple loss: 0.0348, cost time: 4.6077s
epoch 21, CE, avg. triple loss: 1.0039, cost time: 131.3718s
epoch 21, joint learning loss: 0.0171, time: 3.5182s
epoch 22, avg. triple loss: 0.0353, cost time: 9.0396s
epoch 22, CE, avg. triple loss: 1.0010, cost time: 107.7866s
epoch 22, joint learning loss: 0.0159, time: 3.8217s
epoch 23, avg. triple loss: 0.0358, cost time: 5.9780s
epoch 23, CE, avg. triple loss: 1.0006, cost time: 124.9679s
epoch 23, joint learning loss: 0.0150, time: 3.1949s
epoch 24, avg. triple loss: 0.0349, cost time: 7.5148s
epoch 24, CE, avg. triple loss: 0.9970, cost time: 116.1781s
epoch 24, joint learning loss: 0.0142, time: 3.3345s
epoch 25, avg. triple loss: 0.0355, cost time: 6.6239s
epoch 25, CE, avg. triple loss: 0.9960, cost time: 125.8837s
epoch 25, joint learning loss: 0.0135, time: 3.8161s
epoch 26, avg. triple loss: 0.0362, cost time: 7.2433s
epoch 26, CE, avg. triple loss: 0.9946, cost time: 117.0342s
epoch 26, joint learning loss: 0.0128, time: 4.2473s
epoch 27, avg. triple loss: 0.0357, cost time: 4.1992s
epoch 27, CE, avg. triple loss: 0.9935, cost time: 119.2272s
epoch 27, joint learning loss: 0.0122, time: 3.3880s
epoch 28, avg. triple loss: 0.0370, cost time: 6.8909s
epoch 28, CE, avg. triple loss: 0.9950, cost time: 115.9686s
epoch 28, joint learning loss: 0.0117, time: 3.2049s
epoch 29, avg. triple loss: 0.0356, cost time: 8.2989s
epoch 29, CE, avg. triple loss: 0.9916, cost time: 119.0368s
epoch 29, joint learning loss: 0.0112, time: 4.0270s
epoch 30, avg. triple loss: 0.0363, cost time: 8.2248s
epoch 30, CE, avg. triple loss: 0.9906, cost time: 121.5994s
epoch 30, joint learning loss: 0.0107, time: 3.7903s
epoch 31, avg. triple loss: 0.0366, cost time: 6.2015s
epoch 31, CE, avg. triple loss: 0.9896, cost time: 120.0601s
epoch 31, joint learning loss: 0.0103, time: 4.2006s
epoch 32, avg. triple loss: 0.0364, cost time: 4.9170s
epoch 32, CE, avg. triple loss: 0.9902, cost time: 119.7957s
epoch 32, joint learning loss: 0.0100, time: 3.9625s
epoch 33, avg. triple loss: 0.0366, cost time: 6.1622s
epoch 33, CE, avg. triple loss: 0.9891, cost time: 114.4278s
epoch 33, joint learning loss: 0.0097, time: 3.8275s
epoch 34, avg. triple loss: 0.0366, cost time: 10.6322s
epoch 34, CE, avg. triple loss: 0.9886, cost time: 114.6256s
epoch 34, joint learning loss: 0.0093, time: 3.2794s
epoch 35, avg. triple loss: 0.0373, cost time: 7.5478s
epoch 35, CE, avg. triple loss: 0.9862, cost time: 131.4154s
epoch 35, joint learning loss: 0.0091, time: 3.4554s
epoch 36, avg. triple loss: 0.0369, cost time: 7.0903s
epoch 36, CE, avg. triple loss: 0.9852, cost time: 118.2376s
epoch 36, joint learning loss: 0.0088, time: 3.3377s
epoch 37, avg. triple loss: 0.0376, cost time: 8.5301s
epoch 37, CE, avg. triple loss: 0.9838, cost time: 121.0951s
epoch 37, joint learning loss: 0.0086, time: 4.3316s
epoch 38, avg. triple loss: 0.0380, cost time: 9.5786s
epoch 38, CE, avg. triple loss: 0.9845, cost time: 116.4259s
epoch 38, joint learning loss: 0.0084, time: 3.6055s
epoch 39, avg. triple loss: 0.0375, cost time: 8.8688s
epoch 39, CE, avg. triple loss: 0.9837, cost time: 120.6241s
epoch 39, joint learning loss: 0.0082, time: 4.3181s
epoch 40, avg. triple loss: 0.0391, cost time: 9.1028s
epoch 40, CE, avg. triple loss: 0.9817, cost time: 121.7719s
epoch 40, joint learning loss: 0.0080, time: 3.8151s
epoch 41, avg. triple loss: 0.0382, cost time: 8.0565s
epoch 41, CE, avg. triple loss: 0.9809, cost time: 119.3853s
epoch 41, joint learning loss: 0.0078, time: 4.3039s
epoch 42, avg. triple loss: 0.0383, cost time: 7.5419s
epoch 42, CE, avg. triple loss: 0.9806, cost time: 110.8143s
epoch 42, joint learning loss: 0.0076, time: 3.4090s
epoch 43, avg. triple loss: 0.0387, cost time: 6.4331s
epoch 43, CE, avg. triple loss: 0.9819, cost time: 117.4810s
epoch 43, joint learning loss: 0.0074, time: 3.8191s
epoch 44, avg. triple loss: 0.0389, cost time: 10.2084s
epoch 44, CE, avg. triple loss: 0.9801, cost time: 121.7984s
epoch 44, joint learning loss: 0.0073, time: 3.5791s
epoch 45, avg. triple loss: 0.0395, cost time: 6.8079s
epoch 45, CE, avg. triple loss: 0.9812, cost time: 118.9068s
epoch 45, joint learning loss: 0.0071, time: 4.2992s
epoch 46, avg. triple loss: 0.0383, cost time: 10.9081s
epoch 46, CE, avg. triple loss: 0.9808, cost time: 119.2942s
epoch 46, joint learning loss: 0.0070, time: 4.6966s
epoch 47, avg. triple loss: 0.0392, cost time: 7.9854s
epoch 47, CE, avg. triple loss: 0.9781, cost time: 111.5445s
epoch 47, joint learning loss: 0.0069, time: 2.9625s
epoch 48, avg. triple loss: 0.0394, cost time: 9.0415s
epoch 48, CE, avg. triple loss: 0.9789, cost time: 121.8874s
epoch 48, joint learning loss: 0.0067, time: 4.0866s
epoch 49, avg. triple loss: 0.0401, cost time: 9.0746s
epoch 49, CE, avg. triple loss: 0.9784, cost time: 121.8842s
epoch 49, joint learning loss: 0.0066, time: 4.4042s
epoch 50, avg. triple loss: 0.0397, cost time: 5.5830s
epoch 50, CE, avg. triple loss: 0.9766, cost time: 120.1550s
epoch 50, joint learning loss: 0.0065, time: 3.4966s
epoch 51, avg. triple loss: 0.0403, cost time: 7.9082s
epoch 51, CE, avg. triple loss: 0.9765, cost time: 126.8192s
epoch 51, joint learning loss: 0.0064, time: 4.2161s
epoch 52, avg. triple loss: 0.0405, cost time: 5.9638s
epoch 52, CE, avg. triple loss: 0.9771, cost time: 118.8451s
epoch 52, joint learning loss: 0.0063, time: 4.6289s
epoch 53, avg. triple loss: 0.0406, cost time: 6.9181s
epoch 53, CE, avg. triple loss: 0.9756, cost time: 121.9580s
epoch 53, joint learning loss: 0.0062, time: 3.5785s
epoch 54, avg. triple loss: 0.0405, cost time: 8.7132s
epoch 54, CE, avg. triple loss: 0.9763, cost time: 118.5241s
epoch 54, joint learning loss: 0.0061, time: 2.9996s
epoch 55, avg. triple loss: 0.0417, cost time: 10.1566s
epoch 55, CE, avg. triple loss: 0.9747, cost time: 130.7997s
epoch 55, joint learning loss: 0.0061, time: 3.3932s
epoch 56, avg. triple loss: 0.0411, cost time: 8.0107s
epoch 56, CE, avg. triple loss: 0.9739, cost time: 118.1101s
epoch 56, joint learning loss: 0.0060, time: 3.3974s
epoch 57, avg. triple loss: 0.0411, cost time: 6.5954s
epoch 57, CE, avg. triple loss: 0.9739, cost time: 125.6302s
epoch 57, joint learning loss: 0.0059, time: 3.8115s
epoch 58, avg. triple loss: 0.0411, cost time: 6.2367s
epoch 58, CE, avg. triple loss: 0.9755, cost time: 119.9441s
epoch 58, joint learning loss: 0.0058, time: 4.5612s
epoch 59, avg. triple loss: 0.0417, cost time: 12.8682s
epoch 59, CE, avg. triple loss: 0.9734, cost time: 117.5640s
epoch 59, joint learning loss: 0.0058, time: 3.6443s
epoch 60, avg. triple loss: 0.0428, cost time: 9.6157s
epoch 60, CE, avg. triple loss: 0.9723, cost time: 121.3814s
epoch 60, joint learning loss: 0.0057, time: 4.4942s
epoch 61, avg. triple loss: 0.0432, cost time: 7.2124s
epoch 61, CE, avg. triple loss: 0.9735, cost time: 116.3350s
epoch 61, joint learning loss: 0.0056, time: 3.9392s
epoch 62, avg. triple loss: 0.0417, cost time: 7.1447s
epoch 62, CE, avg. triple loss: 0.9718, cost time: 124.0222s
epoch 62, joint learning loss: 0.0056, time: 3.4320s
epoch 63, avg. triple loss: 0.0433, cost time: 6.5702s
epoch 63, CE, avg. triple loss: 0.9723, cost time: 121.3746s
epoch 63, joint learning loss: 0.0055, time: 3.4260s
epoch 64, avg. triple loss: 0.0418, cost time: 7.5319s
epoch 64, CE, avg. triple loss: 0.9718, cost time: 112.1795s
epoch 64, joint learning loss: 0.0055, time: 4.1883s
epoch 65, avg. triple loss: 0.0421, cost time: 6.0698s
epoch 65, CE, avg. triple loss: 0.9727, cost time: 122.5041s
epoch 65, joint learning loss: 0.0054, time: 4.8186s
epoch 66, avg. triple loss: 0.0430, cost time: 8.0142s
epoch 66, CE, avg. triple loss: 0.9700, cost time: 115.6391s
epoch 66, joint learning loss: 0.0054, time: 3.6800s
epoch 67, avg. triple loss: 0.0440, cost time: 5.7920s
epoch 67, CE, avg. triple loss: 0.9709, cost time: 114.6203s
epoch 67, joint learning loss: 0.0053, time: 3.8842s
epoch 68, avg. triple loss: 0.0427, cost time: 7.9958s
epoch 68, CE, avg. triple loss: 0.9701, cost time: 117.2076s
epoch 68, joint learning loss: 0.0053, time: 3.6757s
epoch 69, avg. triple loss: 0.0442, cost time: 7.3390s
epoch 69, CE, avg. triple loss: 0.9698, cost time: 115.9593s
epoch 69, joint learning loss: 0.0052, time: 4.6885s
epoch 70, avg. triple loss: 0.0432, cost time: 8.6062s
epoch 70, CE, avg. triple loss: 0.9708, cost time: 120.0415s
epoch 70, joint learning loss: 0.0052, time: 3.6236s
epoch 71, avg. triple loss: 0.0425, cost time: 5.8016s
epoch 71, CE, avg. triple loss: 0.9699, cost time: 124.7055s
epoch 71, joint learning loss: 0.0051, time: 3.6521s
epoch 72, avg. triple loss: 0.0432, cost time: 6.5547s
epoch 72, CE, avg. triple loss: 0.9681, cost time: 122.1290s
epoch 72, joint learning loss: 0.0051, time: 4.5922s
epoch 73, avg. triple loss: 0.0445, cost time: 7.0908s
epoch 73, CE, avg. triple loss: 0.9684, cost time: 126.1172s
epoch 73, joint learning loss: 0.0050, time: 3.4780s
epoch 74, avg. triple loss: 0.0454, cost time: 7.9235s
epoch 74, CE, avg. triple loss: 0.9694, cost time: 122.8039s
epoch 74, joint learning loss: 0.0050, time: 3.8660s
epoch 75, avg. triple loss: 0.0438, cost time: 5.8466s
epoch 75, CE, avg. triple loss: 0.9673, cost time: 120.5447s
epoch 75, joint learning loss: 0.0049, time: 3.6074s
epoch 76, avg. triple loss: 0.0444, cost time: 6.4293s
epoch 76, CE, avg. triple loss: 0.9672, cost time: 123.5270s
epoch 76, joint learning loss: 0.0049, time: 4.3770s
epoch 77, avg. triple loss: 0.0448, cost time: 4.4423s
epoch 77, CE, avg. triple loss: 0.9665, cost time: 115.6576s
epoch 77, joint learning loss: 0.0049, time: 3.7077s
epoch 78, avg. triple loss: 0.0447, cost time: 5.6307s
epoch 78, CE, avg. triple loss: 0.9684, cost time: 118.2885s
epoch 78, joint learning loss: 0.0048, time: 3.7292s
epoch 79, avg. triple loss: 0.0454, cost time: 6.1573s
epoch 79, CE, avg. triple loss: 0.9675, cost time: 113.0303s
epoch 79, joint learning loss: 0.0048, time: 3.5991s
epoch 80, avg. triple loss: 0.0460, cost time: 5.5832s
epoch 80, CE, avg. triple loss: 0.9674, cost time: 116.9896s
epoch 80, joint learning loss: 0.0048, time: 4.1177s
epoch 81, avg. triple loss: 0.0451, cost time: 5.7030s
epoch 81, CE, avg. triple loss: 0.9671, cost time: 119.8352s
epoch 81, joint learning loss: 0.0047, time: 3.3889s
epoch 82, avg. triple loss: 0.0452, cost time: 6.5737s
epoch 82, CE, avg. triple loss: 0.9673, cost time: 115.2890s
epoch 82, joint learning loss: 0.0047, time: 2.9927s
epoch 83, avg. triple loss: 0.0474, cost time: 7.5786s
epoch 83, CE, avg. triple loss: 0.9665, cost time: 118.3507s
epoch 83, joint learning loss: 0.0046, time: 3.8355s
epoch 84, avg. triple loss: 0.0441, cost time: 6.7146s
epoch 84, CE, avg. triple loss: 0.9665, cost time: 112.5617s
epoch 84, joint learning loss: 0.0046, time: 3.5604s
epoch 85, avg. triple loss: 0.0460, cost time: 4.9729s
epoch 85, CE, avg. triple loss: 0.9664, cost time: 114.1730s
epoch 85, joint learning loss: 0.0046, time: 4.7644s
epoch 86, avg. triple loss: 0.0473, cost time: 6.5270s
epoch 86, CE, avg. triple loss: 0.9639, cost time: 113.6104s
epoch 86, joint learning loss: 0.0045, time: 4.3990s
epoch 87, avg. triple loss: 0.0464, cost time: 5.6989s
epoch 87, CE, avg. triple loss: 0.9658, cost time: 119.1488s
epoch 87, joint learning loss: 0.0045, time: 3.6270s
epoch 88, avg. triple loss: 0.0461, cost time: 7.7803s
epoch 88, CE, avg. triple loss: 0.9651, cost time: 113.2024s
epoch 88, joint learning loss: 0.0045, time: 3.7509s
epoch 89, avg. triple loss: 0.0474, cost time: 5.1615s
epoch 89, CE, avg. triple loss: 0.9651, cost time: 104.5389s
epoch 89, joint learning loss: 0.0045, time: 3.4833s
epoch 90, avg. triple loss: 0.0465, cost time: 6.5760s
epoch 90, CE, avg. triple loss: 0.9640, cost time: 116.5711s
epoch 90, joint learning loss: 0.0044, time: 3.5558s
epoch 91, avg. triple loss: 0.0461, cost time: 5.4170s
epoch 91, CE, avg. triple loss: 0.9642, cost time: 119.6677s
epoch 91, joint learning loss: 0.0044, time: 3.9772s
epoch 92, avg. triple loss: 0.0470, cost time: 5.0338s
epoch 92, CE, avg. triple loss: 0.9642, cost time: 113.7548s
epoch 92, joint learning loss: 0.0044, time: 3.5951s
epoch 93, avg. triple loss: 0.0463, cost time: 5.4257s
epoch 93, CE, avg. triple loss: 0.9632, cost time: 109.0264s
epoch 93, joint learning loss: 0.0043, time: 3.4499s
epoch 94, avg. triple loss: 0.0472, cost time: 6.8353s
epoch 94, CE, avg. triple loss: 0.9633, cost time: 116.0315s
epoch 94, joint learning loss: 0.0043, time: 3.7590s
epoch 95, avg. triple loss: 0.0476, cost time: 4.9323s
epoch 95, CE, avg. triple loss: 0.9637, cost time: 117.3421s
epoch 95, joint learning loss: 0.0043, time: 4.8593s
epoch 96, avg. triple loss: 0.0472, cost time: 7.3005s
epoch 96, CE, avg. triple loss: 0.9628, cost time: 120.3122s
epoch 96, joint learning loss: 0.0042, time: 3.3793s
epoch 97, avg. triple loss: 0.0482, cost time: 7.0843s
epoch 97, CE, avg. triple loss: 0.9625, cost time: 119.1622s
epoch 97, joint learning loss: 0.0042, time: 4.3241s
epoch 98, avg. triple loss: 0.0474, cost time: 5.1591s
epoch 98, CE, avg. triple loss: 0.9640, cost time: 115.8136s
epoch 98, joint learning loss: 0.0042, time: 4.4194s
epoch 99, avg. triple loss: 0.0479, cost time: 7.0985s
epoch 99, CE, avg. triple loss: 0.9620, cost time: 117.5867s
epoch 99, joint learning loss: 0.0042, time: 3.9519s
epoch 100, avg. triple loss: 0.0461, cost time: 7.5785s
epoch 100, CE, avg. triple loss: 0.9620, cost time: 121.9658s
epoch 100, joint learning loss: 0.0041, time: 3.9211s
quick results: hits@[1, 5, 10, 50] = [59.85 80.45 86.65 96. ]%, time = 8.879 s
epoch 101, avg. triple loss: 0.0474, cost time: 6.2815s
epoch 101, CE, avg. triple loss: 0.9624, cost time: 117.7824s
epoch 101, joint learning loss: 0.0041, time: 3.7917s
epoch 102, avg. triple loss: 0.0473, cost time: 6.0772s
epoch 102, CE, avg. triple loss: 0.9627, cost time: 116.1995s
epoch 102, joint learning loss: 0.0041, time: 4.1505s
epoch 103, avg. triple loss: 0.0486, cost time: 6.3797s
epoch 103, CE, avg. triple loss: 0.9593, cost time: 113.1324s
epoch 103, joint learning loss: 0.0041, time: 3.3898s
epoch 104, avg. triple loss: 0.0473, cost time: 8.4266s
epoch 104, CE, avg. triple loss: 0.9614, cost time: 115.2572s
epoch 104, joint learning loss: 0.0041, time: 3.9035s
epoch 105, avg. triple loss: 0.0486, cost time: 6.6266s
epoch 105, CE, avg. triple loss: 0.9617, cost time: 114.7550s
epoch 105, joint learning loss: 0.0040, time: 4.0488s
epoch 106, avg. triple loss: 0.0482, cost time: 8.6264s
epoch 106, CE, avg. triple loss: 0.9608, cost time: 120.3522s
epoch 106, joint learning loss: 0.0040, time: 3.1762s
epoch 107, avg. triple loss: 0.0477, cost time: 6.3128s
epoch 107, CE, avg. triple loss: 0.9606, cost time: 113.4094s
epoch 107, joint learning loss: 0.0040, time: 4.8693s
epoch 108, avg. triple loss: 0.0480, cost time: 6.1879s
epoch 108, CE, avg. triple loss: 0.9600, cost time: 118.8699s
epoch 108, joint learning loss: 0.0040, time: 4.0975s
epoch 109, avg. triple loss: 0.0491, cost time: 7.0126s
epoch 109, CE, avg. triple loss: 0.9610, cost time: 119.8770s
epoch 109, joint learning loss: 0.0040, time: 3.7182s
epoch 110, avg. triple loss: 0.0486, cost time: 6.1943s
epoch 110, CE, avg. triple loss: 0.9619, cost time: 110.4399s
epoch 110, joint learning loss: 0.0039, time: 4.5062s
quick results: hits@[1, 5, 10, 50] = [63.6 83.1 89.1 96.85]%, time = 12.943 s
epoch 111, avg. triple loss: 0.0480, cost time: 9.9218s
epoch 111, CE, avg. triple loss: 0.9604, cost time: 121.6760s
epoch 111, joint learning loss: 0.0039, time: 3.8089s
epoch 112, avg. triple loss: 0.0499, cost time: 5.2011s
epoch 112, CE, avg. triple loss: 0.9590, cost time: 112.0243s
epoch 112, joint learning loss: 0.0039, time: 3.6999s
epoch 113, avg. triple loss: 0.0484, cost time: 6.0565s
epoch 113, CE, avg. triple loss: 0.9612, cost time: 110.9209s
epoch 113, joint learning loss: 0.0039, time: 3.4784s
epoch 114, avg. triple loss: 0.0480, cost time: 5.9565s
epoch 114, CE, avg. triple loss: 0.9597, cost time: 113.4890s
epoch 114, joint learning loss: 0.0038, time: 3.0274s
epoch 115, avg. triple loss: 0.0477, cost time: 5.6290s
epoch 115, CE, avg. triple loss: 0.9592, cost time: 114.3032s
epoch 115, joint learning loss: 0.0038, time: 3.8836s
epoch 116, avg. triple loss: 0.0491, cost time: 6.2264s
epoch 116, CE, avg. triple loss: 0.9589, cost time: 111.1919s
epoch 116, joint learning loss: 0.0038, time: 4.1677s
epoch 117, avg. triple loss: 0.0495, cost time: 6.4594s
epoch 117, CE, avg. triple loss: 0.9593, cost time: 110.1907s
epoch 117, joint learning loss: 0.0038, time: 3.9784s
epoch 118, avg. triple loss: 0.0498, cost time: 6.3281s
epoch 118, CE, avg. triple loss: 0.9583, cost time: 122.1886s
epoch 118, joint learning loss: 0.0038, time: 4.4419s
epoch 119, avg. triple loss: 0.0475, cost time: 5.8602s
epoch 119, CE, avg. triple loss: 0.9601, cost time: 109.2938s
epoch 119, joint learning loss: 0.0037, time: 4.0403s
epoch 120, avg. triple loss: 0.0483, cost time: 7.8435s
epoch 120, CE, avg. triple loss: 0.9589, cost time: 119.6297s
epoch 120, joint learning loss: 0.0037, time: 3.4322s
quick results: hits@[1, 5, 10, 50] = [66.75 85.75 90.45 97.6 ]%, time = 10.781 s
epoch 121, avg. triple loss: 0.0479, cost time: 6.1943s
epoch 121, CE, avg. triple loss: 0.9588, cost time: 111.3461s
epoch 121, joint learning loss: 0.0037, time: 4.1821s
epoch 122, avg. triple loss: 0.0487, cost time: 8.3495s
epoch 122, CE, avg. triple loss: 0.9585, cost time: 113.3854s
epoch 122, joint learning loss: 0.0037, time: 3.2660s
epoch 123, avg. triple loss: 0.0504, cost time: 5.7342s
epoch 123, CE, avg. triple loss: 0.9601, cost time: 112.0900s
epoch 123, joint learning loss: 0.0037, time: 3.5667s
epoch 124, avg. triple loss: 0.0501, cost time: 7.1480s
epoch 124, CE, avg. triple loss: 0.9564, cost time: 115.4111s
epoch 124, joint learning loss: 0.0037, time: 4.9002s
epoch 125, avg. triple loss: 0.0488, cost time: 6.1946s
epoch 125, CE, avg. triple loss: 0.9579, cost time: 111.3889s
epoch 125, joint learning loss: 0.0036, time: 3.1557s
epoch 126, avg. triple loss: 0.0482, cost time: 6.8724s
epoch 126, CE, avg. triple loss: 0.9570, cost time: 114.8644s
epoch 126, joint learning loss: 0.0036, time: 4.0878s
epoch 127, avg. triple loss: 0.0504, cost time: 5.1405s
epoch 127, CE, avg. triple loss: 0.9575, cost time: 113.4164s
epoch 127, joint learning loss: 0.0036, time: 3.8342s
epoch 128, avg. triple loss: 0.0506, cost time: 5.9378s
epoch 128, CE, avg. triple loss: 0.9563, cost time: 117.2838s
epoch 128, joint learning loss: 0.0036, time: 4.1981s
epoch 129, avg. triple loss: 0.0489, cost time: 9.0383s
epoch 129, CE, avg. triple loss: 0.9561, cost time: 108.3187s
epoch 129, joint learning loss: 0.0036, time: 3.9646s
epoch 130, avg. triple loss: 0.0508, cost time: 5.0819s
epoch 130, CE, avg. triple loss: 0.9561, cost time: 123.6778s
epoch 130, joint learning loss: 0.0036, time: 3.5786s
quick results: hits@[1, 5, 10, 50] = [70.1 87.15 91.65 98.05]%, time = 11.057 s
epoch 131, avg. triple loss: 0.0492, cost time: 6.1943s
epoch 131, CE, avg. triple loss: 0.9584, cost time: 120.5286s
epoch 131, joint learning loss: 0.0035, time: 3.5949s
epoch 132, avg. triple loss: 0.0503, cost time: 5.2559s
epoch 132, CE, avg. triple loss: 0.9567, cost time: 109.5200s
epoch 132, joint learning loss: 0.0035, time: 3.5644s
epoch 133, avg. triple loss: 0.0501, cost time: 7.1304s
epoch 133, CE, avg. triple loss: 0.9565, cost time: 106.8151s
epoch 133, joint learning loss: 0.0035, time: 3.9154s
epoch 134, avg. triple loss: 0.0507, cost time: 7.0018s
epoch 134, CE, avg. triple loss: 0.9574, cost time: 119.7235s
epoch 134, joint learning loss: 0.0035, time: 3.3718s
epoch 135, avg. triple loss: 0.0498, cost time: 6.0787s
epoch 135, CE, avg. triple loss: 0.9564, cost time: 107.5007s
epoch 135, joint learning loss: 0.0035, time: 4.0247s
epoch 136, avg. triple loss: 0.0491, cost time: 7.8400s
epoch 136, CE, avg. triple loss: 0.9564, cost time: 111.1368s
epoch 136, joint learning loss: 0.0034, time: 4.0033s
epoch 137, avg. triple loss: 0.0501, cost time: 7.0242s
epoch 137, CE, avg. triple loss: 0.9561, cost time: 106.6696s
epoch 137, joint learning loss: 0.0034, time: 3.5038s
epoch 138, avg. triple loss: 0.0495, cost time: 4.3850s
epoch 138, CE, avg. triple loss: 0.9570, cost time: 101.0260s
epoch 138, joint learning loss: 0.0034, time: 3.6002s
epoch 139, avg. triple loss: 0.0500, cost time: 4.9209s
epoch 139, CE, avg. triple loss: 0.9558, cost time: 96.6081s
epoch 139, joint learning loss: 0.0034, time: 3.2920s
epoch 140, avg. triple loss: 0.0494, cost time: 4.6596s
epoch 140, CE, avg. triple loss: 0.9543, cost time: 100.2618s
epoch 140, joint learning loss: 0.0034, time: 4.2406s
quick results: hits@[1, 5, 10, 50] = [72.85 88.7 92.6 98.25]%, time = 6.838 s
epoch 141, avg. triple loss: 0.0498, cost time: 5.0860s
epoch 141, CE, avg. triple loss: 0.9556, cost time: 99.9213s
epoch 141, joint learning loss: 0.0034, time: 4.1512s
epoch 142, avg. triple loss: 0.0500, cost time: 5.0275s
epoch 142, CE, avg. triple loss: 0.9555, cost time: 97.1275s
epoch 142, joint learning loss: 0.0034, time: 3.8229s
epoch 143, avg. triple loss: 0.0496, cost time: 5.6659s
epoch 143, CE, avg. triple loss: 0.9551, cost time: 100.9246s
epoch 143, joint learning loss: 0.0034, time: 3.4427s
epoch 144, avg. triple loss: 0.0512, cost time: 3.7789s
epoch 144, CE, avg. triple loss: 0.9546, cost time: 97.6542s
epoch 144, joint learning loss: 0.0033, time: 3.6990s
epoch 145, avg. triple loss: 0.0499, cost time: 5.8811s
epoch 145, CE, avg. triple loss: 0.9543, cost time: 102.9561s
epoch 145, joint learning loss: 0.0033, time: 3.8632s
epoch 146, avg. triple loss: 0.0492, cost time: 4.7546s
epoch 146, CE, avg. triple loss: 0.9556, cost time: 103.5859s
epoch 146, joint learning loss: 0.0033, time: 4.2811s
epoch 147, avg. triple loss: 0.0500, cost time: 6.7189s
epoch 147, CE, avg. triple loss: 0.9544, cost time: 104.4036s
epoch 147, joint learning loss: 0.0033, time: 3.3849s
epoch 148, avg. triple loss: 0.0499, cost time: 4.5442s
epoch 148, CE, avg. triple loss: 0.9543, cost time: 102.7870s
epoch 148, joint learning loss: 0.0033, time: 3.4653s
epoch 149, avg. triple loss: 0.0506, cost time: 4.7963s
epoch 149, CE, avg. triple loss: 0.9539, cost time: 104.1053s
epoch 149, joint learning loss: 0.0033, time: 3.3408s
epoch 150, avg. triple loss: 0.0499, cost time: 5.5497s
epoch 150, CE, avg. triple loss: 0.9536, cost time: 107.1863s
epoch 150, joint learning loss: 0.0033, time: 3.4920s
quick results: hits@[1, 5, 10, 50] = [75.7 90.35 93.35 98.75]%, time = 9.319 s
epoch 151, avg. triple loss: 0.0510, cost time: 3.5160s
epoch 151, CE, avg. triple loss: 0.9551, cost time: 106.4033s
epoch 151, joint learning loss: 0.0033, time: 3.7149s
epoch 152, avg. triple loss: 0.0491, cost time: 5.1804s
epoch 152, CE, avg. triple loss: 0.9547, cost time: 100.6803s
epoch 152, joint learning loss: 0.0032, time: 3.4667s
epoch 153, avg. triple loss: 0.0505, cost time: 5.3538s
epoch 153, CE, avg. triple loss: 0.9543, cost time: 103.4057s
epoch 153, joint learning loss: 0.0032, time: 3.1334s
epoch 154, avg. triple loss: 0.0504, cost time: 3.6833s
epoch 154, CE, avg. triple loss: 0.9545, cost time: 102.5580s
epoch 154, joint learning loss: 0.0032, time: 3.6318s
epoch 155, avg. triple loss: 0.0503, cost time: 7.0603s
epoch 155, CE, avg. triple loss: 0.9544, cost time: 98.9339s
epoch 155, joint learning loss: 0.0032, time: 3.5658s
epoch 156, avg. triple loss: 0.0504, cost time: 6.5568s
epoch 156, CE, avg. triple loss: 0.9545, cost time: 102.1593s
epoch 156, joint learning loss: 0.0032, time: 4.1783s
epoch 157, avg. triple loss: 0.0505, cost time: 5.1849s
epoch 157, CE, avg. triple loss: 0.9538, cost time: 103.7311s
epoch 157, joint learning loss: 0.0032, time: 3.2492s
epoch 158, avg. triple loss: 0.0502, cost time: 5.6539s
epoch 158, CE, avg. triple loss: 0.9537, cost time: 104.5564s
epoch 158, joint learning loss: 0.0032, time: 3.2259s
epoch 159, avg. triple loss: 0.0509, cost time: 3.6808s
epoch 159, CE, avg. triple loss: 0.9546, cost time: 104.3474s
epoch 159, joint learning loss: 0.0032, time: 3.4894s
epoch 160, avg. triple loss: 0.0518, cost time: 6.6733s
epoch 160, CE, avg. triple loss: 0.9523, cost time: 113.4384s
epoch 160, joint learning loss: 0.0031, time: 3.6241s
quick results: hits@[1, 5, 10, 50] = [77.15 91.55 94.6 98.95]%, time = 9.277 s
epoch 161, avg. triple loss: 0.0499, cost time: 5.4976s
epoch 161, CE, avg. triple loss: 0.9532, cost time: 104.8947s
epoch 161, joint learning loss: 0.0031, time: 3.7410s
epoch 162, avg. triple loss: 0.0497, cost time: 6.4409s
epoch 162, CE, avg. triple loss: 0.9533, cost time: 100.4011s
epoch 162, joint learning loss: 0.0031, time: 3.6735s
epoch 163, avg. triple loss: 0.0496, cost time: 4.9431s
epoch 163, CE, avg. triple loss: 0.9531, cost time: 104.3837s
epoch 163, joint learning loss: 0.0031, time: 3.3014s
epoch 164, avg. triple loss: 0.0505, cost time: 4.9768s
epoch 164, CE, avg. triple loss: 0.9518, cost time: 100.4946s
epoch 164, joint learning loss: 0.0031, time: 3.4898s
epoch 165, avg. triple loss: 0.0494, cost time: 5.0351s
epoch 165, CE, avg. triple loss: 0.9535, cost time: 103.6501s
epoch 165, joint learning loss: 0.0031, time: 3.5389s
epoch 166, avg. triple loss: 0.0503, cost time: 4.0177s
epoch 166, CE, avg. triple loss: 0.9522, cost time: 103.2124s
epoch 166, joint learning loss: 0.0031, time: 3.4315s
epoch 167, avg. triple loss: 0.0503, cost time: 5.0696s
epoch 167, CE, avg. triple loss: 0.9538, cost time: 102.2617s
epoch 167, joint learning loss: 0.0031, time: 3.3219s
epoch 168, avg. triple loss: 0.0513, cost time: 5.6591s
epoch 168, CE, avg. triple loss: 0.9527, cost time: 99.4342s
epoch 168, joint learning loss: 0.0031, time: 3.2690s
epoch 169, avg. triple loss: 0.0498, cost time: 4.4626s
epoch 169, CE, avg. triple loss: 0.9531, cost time: 103.5367s
epoch 169, joint learning loss: 0.0030, time: 3.5068s
epoch 170, avg. triple loss: 0.0511, cost time: 6.5802s
epoch 170, CE, avg. triple loss: 0.9520, cost time: 103.2256s
epoch 170, joint learning loss: 0.0030, time: 2.7932s
quick results: hits@[1, 5, 10, 50] = [79.4 92.7 95.2 99.1]%, time = 8.223 s
epoch 171, avg. triple loss: 0.0514, cost time: 4.9688s
epoch 171, CE, avg. triple loss: 0.9506, cost time: 95.5671s
epoch 171, joint learning loss: 0.0030, time: 3.1908s
epoch 172, avg. triple loss: 0.0505, cost time: 5.6967s
epoch 172, CE, avg. triple loss: 0.9524, cost time: 101.7746s
epoch 172, joint learning loss: 0.0030, time: 3.2544s
epoch 173, avg. triple loss: 0.0507, cost time: 5.7528s
epoch 173, CE, avg. triple loss: 0.9530, cost time: 98.8782s
epoch 173, joint learning loss: 0.0030, time: 4.5382s
epoch 174, avg. triple loss: 0.0493, cost time: 6.0333s
epoch 174, CE, avg. triple loss: 0.9521, cost time: 99.2808s
epoch 174, joint learning loss: 0.0030, time: 3.2924s
epoch 175, avg. triple loss: 0.0520, cost time: 3.5639s
epoch 175, CE, avg. triple loss: 0.9494, cost time: 96.0239s
epoch 175, joint learning loss: 0.0030, time: 2.8865s
epoch 176, avg. triple loss: 0.0502, cost time: 5.8848s
epoch 176, CE, avg. triple loss: 0.9530, cost time: 100.5222s
epoch 176, joint learning loss: 0.0030, time: 3.5568s
epoch 177, avg. triple loss: 0.0520, cost time: 4.7979s
epoch 177, CE, avg. triple loss: 0.9535, cost time: 95.2207s
epoch 177, joint learning loss: 0.0030, time: 2.8619s
epoch 178, avg. triple loss: 0.0508, cost time: 5.0838s
epoch 178, CE, avg. triple loss: 0.9512, cost time: 94.9351s
epoch 178, joint learning loss: 0.0029, time: 3.5883s
epoch 179, avg. triple loss: 0.0506, cost time: 4.8386s
epoch 179, CE, avg. triple loss: 0.9528, cost time: 96.2248s
epoch 179, joint learning loss: 0.0029, time: 2.9303s
epoch 180, avg. triple loss: 0.0496, cost time: 5.7192s
epoch 180, CE, avg. triple loss: 0.9520, cost time: 92.5523s
epoch 180, joint learning loss: 0.0029, time: 2.8700s
quick results: hits@[1, 5, 10, 50] = [80.85 93.4 95.85 99.3 ]%, time = 6.853 s
epoch 181, avg. triple loss: 0.0494, cost time: 7.8477s
epoch 181, CE, avg. triple loss: 0.9517, cost time: 90.6378s
epoch 181, joint learning loss: 0.0029, time: 2.8938s
epoch 182, avg. triple loss: 0.0517, cost time: 4.4213s
epoch 182, CE, avg. triple loss: 0.9526, cost time: 89.7948s
epoch 182, joint learning loss: 0.0029, time: 3.5057s
epoch 183, avg. triple loss: 0.0498, cost time: 4.8460s
epoch 183, CE, avg. triple loss: 0.9523, cost time: 97.1487s
epoch 183, joint learning loss: 0.0029, time: 3.0115s
epoch 184, avg. triple loss: 0.0502, cost time: 4.6593s
epoch 184, CE, avg. triple loss: 0.9522, cost time: 94.0275s
epoch 184, joint learning loss: 0.0029, time: 3.1709s
epoch 185, avg. triple loss: 0.0506, cost time: 5.3720s
epoch 185, CE, avg. triple loss: 0.9511, cost time: 91.6070s
epoch 185, joint learning loss: 0.0029, time: 2.7908s
epoch 186, avg. triple loss: 0.0510, cost time: 4.8885s
epoch 186, CE, avg. triple loss: 0.9527, cost time: 94.7922s
epoch 186, joint learning loss: 0.0029, time: 3.3389s
epoch 187, avg. triple loss: 0.0505, cost time: 3.9910s
epoch 187, CE, avg. triple loss: 0.9531, cost time: 91.0743s
epoch 187, joint learning loss: 0.0029, time: 2.7287s
epoch 188, avg. triple loss: 0.0508, cost time: 5.1030s
epoch 188, CE, avg. triple loss: 0.9520, cost time: 91.4235s
epoch 188, joint learning loss: 0.0029, time: 3.4596s
epoch 189, avg. triple loss: 0.0497, cost time: 5.1936s
epoch 189, CE, avg. triple loss: 0.9521, cost time: 91.2068s
epoch 189, joint learning loss: 0.0028, time: 2.9643s
epoch 190, avg. triple loss: 0.0530, cost time: 4.6168s
epoch 190, CE, avg. triple loss: 0.9512, cost time: 94.4270s
epoch 190, joint learning loss: 0.0028, time: 3.2994s
quick results: hits@[1, 5, 10, 50] = [82.7 93.9 96.15 99.55]%, time = 10.087 s
epoch 191, avg. triple loss: 0.0518, cost time: 6.7478s
epoch 191, CE, avg. triple loss: 0.9511, cost time: 92.0025s
epoch 191, joint learning loss: 0.0028, time: 2.9178s
epoch 192, avg. triple loss: 0.0511, cost time: 5.3515s
epoch 192, CE, avg. triple loss: 0.9498, cost time: 88.9853s
epoch 192, joint learning loss: 0.0028, time: 3.1918s
epoch 193, avg. triple loss: 0.0512, cost time: 4.1564s
epoch 193, CE, avg. triple loss: 0.9518, cost time: 86.0778s
epoch 193, joint learning loss: 0.0028, time: 2.9695s
epoch 194, avg. triple loss: 0.0515, cost time: 5.9111s
epoch 194, CE, avg. triple loss: 0.9500, cost time: 93.7030s
epoch 194, joint learning loss: 0.0028, time: 3.6377s
epoch 195, avg. triple loss: 0.0493, cost time: 5.7780s
epoch 195, CE, avg. triple loss: 0.9513, cost time: 92.2361s
epoch 195, joint learning loss: 0.0028, time: 2.7454s
epoch 196, avg. triple loss: 0.0510, cost time: 3.6588s
epoch 196, CE, avg. triple loss: 0.9522, cost time: 92.9320s
epoch 196, joint learning loss: 0.0028, time: 3.0768s
epoch 197, avg. triple loss: 0.0515, cost time: 5.2075s
epoch 197, CE, avg. triple loss: 0.9505, cost time: 87.6492s
epoch 197, joint learning loss: 0.0028, time: 3.4162s
epoch 198, avg. triple loss: 0.0524, cost time: 5.4903s
epoch 198, CE, avg. triple loss: 0.9512, cost time: 88.8236s
epoch 198, joint learning loss: 0.0028, time: 3.6032s
epoch 199, avg. triple loss: 0.0506, cost time: 4.7893s
epoch 199, CE, avg. triple loss: 0.9514, cost time: 96.0758s
epoch 199, joint learning loss: 0.0028, time: 3.0860s
epoch 200, avg. triple loss: 0.0511, cost time: 4.6976s
epoch 200, CE, avg. triple loss: 0.9522, cost time: 95.2366s
epoch 200, joint learning loss: 0.0027, time: 2.6484s
quick results: hits@[1, 5, 10, 50] = [84.45 94.25 96.4 99.7 ]%, time = 7.784 s
epoch 201, avg. triple loss: 0.0516, cost time: 5.3151s
epoch 201, CE, avg. triple loss: 0.9502, cost time: 94.1025s
epoch 201, joint learning loss: 0.0027, time: 3.3851s
epoch 202, avg. triple loss: 0.0505, cost time: 4.5698s
epoch 202, CE, avg. triple loss: 0.9515, cost time: 102.1797s
epoch 202, joint learning loss: 0.0027, time: 2.5557s
epoch 203, avg. triple loss: 0.0512, cost time: 5.0316s
epoch 203, CE, avg. triple loss: 0.9492, cost time: 90.3720s
epoch 203, joint learning loss: 0.0027, time: 2.7821s
epoch 204, avg. triple loss: 0.0518, cost time: 5.0873s
epoch 204, CE, avg. triple loss: 0.9499, cost time: 95.9675s
epoch 204, joint learning loss: 0.0027, time: 3.2549s
epoch 205, avg. triple loss: 0.0506, cost time: 5.2962s
epoch 205, CE, avg. triple loss: 0.9504, cost time: 92.5870s
epoch 205, joint learning loss: 0.0027, time: 2.6879s
epoch 206, avg. triple loss: 0.0509, cost time: 4.7439s
epoch 206, CE, avg. triple loss: 0.9492, cost time: 94.1497s
epoch 206, joint learning loss: 0.0027, time: 3.7938s
epoch 207, avg. triple loss: 0.0502, cost time: 4.9465s
epoch 207, CE, avg. triple loss: 0.9498, cost time: 93.3920s
epoch 207, joint learning loss: 0.0027, time: 2.7534s
epoch 208, avg. triple loss: 0.0515, cost time: 5.1759s
epoch 208, CE, avg. triple loss: 0.9498, cost time: 89.7883s
epoch 208, joint learning loss: 0.0027, time: 3.3160s
epoch 209, avg. triple loss: 0.0504, cost time: 5.7029s
epoch 209, CE, avg. triple loss: 0.9501, cost time: 93.2008s
epoch 209, joint learning loss: 0.0027, time: 3.0660s
epoch 210, avg. triple loss: 0.0506, cost time: 5.6071s
epoch 210, CE, avg. triple loss: 0.9509, cost time: 89.2330s
epoch 210, joint learning loss: 0.0027, time: 3.0950s
quick results: hits@[1, 5, 10, 50] = [86.4 94.7 96.55 99.7 ]%, time = 9.652 s
epoch 211, avg. triple loss: 0.0502, cost time: 4.6145s
epoch 211, CE, avg. triple loss: 0.9509, cost time: 92.4141s
epoch 211, joint learning loss: 0.0027, time: 3.5474s
epoch 212, avg. triple loss: 0.0502, cost time: 5.6867s
epoch 212, CE, avg. triple loss: 0.9484, cost time: 95.5615s
epoch 212, joint learning loss: 0.0027, time: 3.1835s
epoch 213, avg. triple loss: 0.0516, cost time: 5.4204s
epoch 213, CE, avg. triple loss: 0.9498, cost time: 94.8591s
epoch 213, joint learning loss: 0.0027, time: 3.4226s
epoch 214, avg. triple loss: 0.0501, cost time: 4.2430s
epoch 214, CE, avg. triple loss: 0.9495, cost time: 98.3588s
epoch 214, joint learning loss: 0.0026, time: 3.4916s
epoch 215, avg. triple loss: 0.0499, cost time: 6.6594s
epoch 215, CE, avg. triple loss: 0.9495, cost time: 92.0024s
epoch 215, joint learning loss: 0.0026, time: 3.2858s
epoch 216, avg. triple loss: 0.0518, cost time: 4.6135s
epoch 216, CE, avg. triple loss: 0.9496, cost time: 92.5043s
epoch 216, joint learning loss: 0.0026, time: 3.4950s
epoch 217, avg. triple loss: 0.0497, cost time: 5.9861s
epoch 217, CE, avg. triple loss: 0.9497, cost time: 95.7517s
epoch 217, joint learning loss: 0.0026, time: 3.1117s
epoch 218, avg. triple loss: 0.0522, cost time: 5.5865s
epoch 218, CE, avg. triple loss: 0.9497, cost time: 90.6133s
epoch 218, joint learning loss: 0.0026, time: 2.8421s
epoch 219, avg. triple loss: 0.0513, cost time: 4.9991s
epoch 219, CE, avg. triple loss: 0.9503, cost time: 91.5729s
epoch 219, joint learning loss: 0.0026, time: 3.3550s
epoch 220, avg. triple loss: 0.0509, cost time: 3.7668s
epoch 220, CE, avg. triple loss: 0.9474, cost time: 92.6433s
epoch 220, joint learning loss: 0.0026, time: 3.0578s
quick results: hits@[1, 5, 10, 50] = [87.2 95.15 97.15 99.7 ]%, time = 6.480 s
epoch 221, avg. triple loss: 0.0511, cost time: 2.9724s
epoch 221, CE, avg. triple loss: 0.9482, cost time: 96.0336s
epoch 221, joint learning loss: 0.0026, time: 2.9937s
epoch 222, avg. triple loss: 0.0497, cost time: 3.5739s
epoch 222, CE, avg. triple loss: 0.9486, cost time: 90.9989s
epoch 222, joint learning loss: 0.0026, time: 3.3093s
epoch 223, avg. triple loss: 0.0508, cost time: 4.8376s
epoch 223, CE, avg. triple loss: 0.9496, cost time: 89.7784s
epoch 223, joint learning loss: 0.0026, time: 3.3491s
epoch 224, avg. triple loss: 0.0517, cost time: 5.4313s
epoch 224, CE, avg. triple loss: 0.9487, cost time: 91.9023s
epoch 224, joint learning loss: 0.0026, time: 3.3688s
epoch 225, avg. triple loss: 0.0516, cost time: 4.7780s
epoch 225, CE, avg. triple loss: 0.9477, cost time: 90.8407s
epoch 225, joint learning loss: 0.0026, time: 2.5122s
epoch 226, avg. triple loss: 0.0510, cost time: 4.8580s
epoch 226, CE, avg. triple loss: 0.9486, cost time: 91.0898s
epoch 226, joint learning loss: 0.0026, time: 2.6444s
epoch 227, avg. triple loss: 0.0501, cost time: 4.4751s
epoch 227, CE, avg. triple loss: 0.9483, cost time: 85.0170s
epoch 227, joint learning loss: 0.0026, time: 3.0381s
epoch 228, avg. triple loss: 0.0502, cost time: 4.6334s
epoch 228, CE, avg. triple loss: 0.9481, cost time: 87.8773s
epoch 228, joint learning loss: 0.0026, time: 3.4877s
epoch 229, avg. triple loss: 0.0509, cost time: 5.3820s
epoch 229, CE, avg. triple loss: 0.9491, cost time: 86.9957s
epoch 229, joint learning loss: 0.0025, time: 2.9874s
epoch 230, avg. triple loss: 0.0517, cost time: 6.4805s
epoch 230, CE, avg. triple loss: 0.9476, cost time: 90.4407s
epoch 230, joint learning loss: 0.0025, time: 3.0284s
quick results: hits@[1, 5, 10, 50] = [87.55 95.8 97.6 99.75]%, time = 7.795 s
epoch 231, avg. triple loss: 0.0512, cost time: 5.5978s
epoch 231, CE, avg. triple loss: 0.9480, cost time: 93.8574s
epoch 231, joint learning loss: 0.0025, time: 3.0362s
epoch 232, avg. triple loss: 0.0511, cost time: 4.5625s
epoch 232, CE, avg. triple loss: 0.9474, cost time: 89.6703s
epoch 232, joint learning loss: 0.0025, time: 3.0072s
epoch 233, avg. triple loss: 0.0520, cost time: 4.7425s
epoch 233, CE, avg. triple loss: 0.9472, cost time: 91.6387s
epoch 233, joint learning loss: 0.0025, time: 3.7407s
epoch 234, avg. triple loss: 0.0508, cost time: 4.6015s
epoch 234, CE, avg. triple loss: 0.9483, cost time: 95.6254s
epoch 234, joint learning loss: 0.0025, time: 2.9423s
epoch 235, avg. triple loss: 0.0500, cost time: 5.4204s
epoch 235, CE, avg. triple loss: 0.9490, cost time: 93.6509s
epoch 235, joint learning loss: 0.0025, time: 3.0373s
epoch 236, avg. triple loss: 0.0502, cost time: 5.0553s
epoch 236, CE, avg. triple loss: 0.9492, cost time: 89.6570s
epoch 236, joint learning loss: 0.0025, time: 2.5686s
epoch 237, avg. triple loss: 0.0510, cost time: 4.3585s
epoch 237, CE, avg. triple loss: 0.9494, cost time: 88.0199s
epoch 237, joint learning loss: 0.0025, time: 2.6593s
epoch 238, avg. triple loss: 0.0508, cost time: 5.1222s
epoch 238, CE, avg. triple loss: 0.9472, cost time: 85.2224s
epoch 238, joint learning loss: 0.0025, time: 2.7002s
epoch 239, avg. triple loss: 0.0515, cost time: 5.6691s
epoch 239, CE, avg. triple loss: 0.9462, cost time: 89.6139s
epoch 239, joint learning loss: 0.0025, time: 2.7162s
epoch 240, avg. triple loss: 0.0520, cost time: 4.0907s
epoch 240, CE, avg. triple loss: 0.9477, cost time: 90.3154s
epoch 240, joint learning loss: 0.0025, time: 2.9598s
quick results: hits@[1, 5, 10, 50] = [88.6 96.15 98. 99.75]%, time = 9.325 s
epoch 241, avg. triple loss: 0.0505, cost time: 4.4789s
epoch 241, CE, avg. triple loss: 0.9482, cost time: 89.5625s
epoch 241, joint learning loss: 0.0025, time: 3.8043s
epoch 242, avg. triple loss: 0.0504, cost time: 4.1602s
epoch 242, CE, avg. triple loss: 0.9462, cost time: 84.7621s
epoch 242, joint learning loss: 0.0024, time: 3.0358s
epoch 243, avg. triple loss: 0.0511, cost time: 4.0664s
epoch 243, CE, avg. triple loss: 0.9482, cost time: 93.8045s
epoch 243, joint learning loss: 0.0024, time: 3.2042s
epoch 244, avg. triple loss: 0.0510, cost time: 3.5525s
epoch 244, CE, avg. triple loss: 0.9477, cost time: 86.0154s
epoch 244, joint learning loss: 0.0024, time: 2.3619s
epoch 245, avg. triple loss: 0.0515, cost time: 4.7962s
epoch 245, CE, avg. triple loss: 0.9482, cost time: 85.3796s
epoch 245, joint learning loss: 0.0024, time: 2.7899s
epoch 246, avg. triple loss: 0.0504, cost time: 4.7246s
epoch 246, CE, avg. triple loss: 0.9477, cost time: 88.6663s
epoch 246, joint learning loss: 0.0024, time: 3.4460s
epoch 247, avg. triple loss: 0.0512, cost time: 5.4734s
epoch 247, CE, avg. triple loss: 0.9458, cost time: 93.1707s
epoch 247, joint learning loss: 0.0024, time: 2.8066s
epoch 248, avg. triple loss: 0.0510, cost time: 4.8541s
epoch 248, CE, avg. triple loss: 0.9465, cost time: 87.2560s
epoch 248, joint learning loss: 0.0024, time: 2.8031s
epoch 249, avg. triple loss: 0.0503, cost time: 5.5209s
epoch 249, CE, avg. triple loss: 0.9496, cost time: 90.1417s
epoch 249, joint learning loss: 0.0024, time: 2.9302s
epoch 250, avg. triple loss: 0.0524, cost time: 4.7388s
epoch 250, CE, avg. triple loss: 0.9481, cost time: 86.9645s
epoch 250, joint learning loss: 0.0024, time: 2.7354s
quick results: hits@[1, 5, 10, 50] = [88.95 96.5 98.15 99.7 ]%, time = 7.331 s
epoch 251, avg. triple loss: 0.0512, cost time: 5.7251s
epoch 251, CE, avg. triple loss: 0.9480, cost time: 90.2046s
epoch 251, joint learning loss: 0.0024, time: 3.3712s
epoch 252, avg. triple loss: 0.0508, cost time: 4.5725s
epoch 252, CE, avg. triple loss: 0.9474, cost time: 89.1168s
epoch 252, joint learning loss: 0.0024, time: 2.6278s
epoch 253, avg. triple loss: 0.0513, cost time: 5.0477s
epoch 253, CE, avg. triple loss: 0.9464, cost time: 87.8594s
epoch 253, joint learning loss: 0.0024, time: 2.9518s
epoch 254, avg. triple loss: 0.0510, cost time: 5.2868s
epoch 254, CE, avg. triple loss: 0.9476, cost time: 92.0603s
epoch 254, joint learning loss: 0.0024, time: 2.9300s
epoch 255, avg. triple loss: 0.0518, cost time: 4.6785s
epoch 255, CE, avg. triple loss: 0.9453, cost time: 90.9820s
epoch 255, joint learning loss: 0.0024, time: 2.4942s
epoch 256, avg. triple loss: 0.0516, cost time: 4.8174s
epoch 256, CE, avg. triple loss: 0.9453, cost time: 91.9069s
epoch 256, joint learning loss: 0.0024, time: 3.2874s
epoch 257, avg. triple loss: 0.0505, cost time: 4.8458s
epoch 257, CE, avg. triple loss: 0.9464, cost time: 90.6923s
epoch 257, joint learning loss: 0.0024, time: 2.8347s
epoch 258, avg. triple loss: 0.0516, cost time: 5.0321s
epoch 258, CE, avg. triple loss: 0.9461, cost time: 84.9833s
epoch 258, joint learning loss: 0.0024, time: 2.6994s
epoch 259, avg. triple loss: 0.0505, cost time: 6.1947s
epoch 259, CE, avg. triple loss: 0.9464, cost time: 90.4186s
epoch 259, joint learning loss: 0.0024, time: 3.0413s
epoch 260, avg. triple loss: 0.0511, cost time: 5.2042s
epoch 260, CE, avg. triple loss: 0.9465, cost time: 89.7600s
epoch 260, joint learning loss: 0.0024, time: 2.8467s
quick results: hits@[1, 5, 10, 50] = [90.45 96.8 98.5 99.85]%, time = 6.873 s
epoch 261, avg. triple loss: 0.0517, cost time: 4.7044s
epoch 261, CE, avg. triple loss: 0.9468, cost time: 93.2400s
epoch 261, joint learning loss: 0.0024, time: 3.4498s
epoch 262, avg. triple loss: 0.0514, cost time: 5.1169s
epoch 262, CE, avg. triple loss: 0.9452, cost time: 90.0403s
epoch 262, joint learning loss: 0.0023, time: 2.5728s
epoch 263, avg. triple loss: 0.0515, cost time: 5.0750s
epoch 263, CE, avg. triple loss: 0.9462, cost time: 91.5149s
epoch 263, joint learning loss: 0.0023, time: 3.0907s
epoch 264, avg. triple loss: 0.0516, cost time: 4.8123s
epoch 264, CE, avg. triple loss: 0.9465, cost time: 86.2461s
epoch 264, joint learning loss: 0.0023, time: 2.8844s
epoch 265, avg. triple loss: 0.0503, cost time: 3.9771s
epoch 265, CE, avg. triple loss: 0.9472, cost time: 92.2876s
epoch 265, joint learning loss: 0.0023, time: 2.7335s
epoch 266, avg. triple loss: 0.0518, cost time: 5.7954s
epoch 266, CE, avg. triple loss: 0.9459, cost time: 92.1421s
epoch 266, joint learning loss: 0.0023, time: 3.2267s
epoch 267, avg. triple loss: 0.0510, cost time: 5.0042s
epoch 267, CE, avg. triple loss: 0.9477, cost time: 89.4898s
epoch 267, joint learning loss: 0.0023, time: 2.6905s
epoch 268, avg. triple loss: 0.0504, cost time: 4.2920s
epoch 268, CE, avg. triple loss: 0.9461, cost time: 93.5472s
epoch 268, joint learning loss: 0.0023, time: 2.8721s
epoch 269, avg. triple loss: 0.0513, cost time: 4.6835s
epoch 269, CE, avg. triple loss: 0.9478, cost time: 93.2455s
epoch 269, joint learning loss: 0.0023, time: 2.6064s
epoch 270, avg. triple loss: 0.0499, cost time: 4.7383s
epoch 270, CE, avg. triple loss: 0.9466, cost time: 93.0098s
epoch 270, joint learning loss: 0.0023, time: 3.2201s
quick results: hits@[1, 5, 10, 50] = [91.45 97.3 98.7 99.9 ]%, time = 8.040 s
epoch 271, avg. triple loss: 0.0505, cost time: 5.1310s
epoch 271, CE, avg. triple loss: 0.9454, cost time: 89.9545s
epoch 271, joint learning loss: 0.0023, time: 3.1513s
epoch 272, avg. triple loss: 0.0497, cost time: 4.8631s
epoch 272, CE, avg. triple loss: 0.9470, cost time: 88.2722s
epoch 272, joint learning loss: 0.0023, time: 3.4226s
epoch 273, avg. triple loss: 0.0502, cost time: 5.0291s
epoch 273, CE, avg. triple loss: 0.9464, cost time: 88.7612s
epoch 273, joint learning loss: 0.0023, time: 2.8201s
epoch 274, avg. triple loss: 0.0510, cost time: 5.2939s
epoch 274, CE, avg. triple loss: 0.9469, cost time: 90.5763s
epoch 274, joint learning loss: 0.0023, time: 2.5991s
epoch 275, avg. triple loss: 0.0503, cost time: 4.5806s
epoch 275, CE, avg. triple loss: 0.9468, cost time: 89.1067s
epoch 275, joint learning loss: 0.0023, time: 2.7926s
epoch 276, avg. triple loss: 0.0518, cost time: 5.5136s
epoch 276, CE, avg. triple loss: 0.9456, cost time: 85.4278s
epoch 276, joint learning loss: 0.0023, time: 2.6932s
epoch 277, avg. triple loss: 0.0508, cost time: 4.5317s
epoch 277, CE, avg. triple loss: 0.9457, cost time: 88.6595s
epoch 277, joint learning loss: 0.0023, time: 3.0544s
epoch 278, avg. triple loss: 0.0521, cost time: 3.8992s
epoch 278, CE, avg. triple loss: 0.9476, cost time: 89.1690s
epoch 278, joint learning loss: 0.0023, time: 3.6415s
epoch 279, avg. triple loss: 0.0519, cost time: 5.1347s
epoch 279, CE, avg. triple loss: 0.9472, cost time: 88.3324s
epoch 279, joint learning loss: 0.0023, time: 2.9299s
epoch 280, avg. triple loss: 0.0515, cost time: 3.8500s
epoch 280, CE, avg. triple loss: 0.9455, cost time: 94.0629s
epoch 280, joint learning loss: 0.0023, time: 2.8561s
quick results: hits@[1, 5, 10, 50] = [91.75 97.5 99.05 99.9 ]%, time = 8.398 s
epoch 281, avg. triple loss: 0.0520, cost time: 4.3792s
epoch 281, CE, avg. triple loss: 0.9455, cost time: 89.7750s
epoch 281, joint learning loss: 0.0023, time: 2.8475s
epoch 282, avg. triple loss: 0.0520, cost time: 5.2943s
epoch 282, CE, avg. triple loss: 0.9470, cost time: 91.7605s
epoch 282, joint learning loss: 0.0022, time: 3.1099s
epoch 283, avg. triple loss: 0.0504, cost time: 4.7859s
epoch 283, CE, avg. triple loss: 0.9457, cost time: 89.4703s
epoch 283, joint learning loss: 0.0022, time: 2.8722s
epoch 284, avg. triple loss: 0.0501, cost time: 4.7367s
epoch 284, CE, avg. triple loss: 0.9462, cost time: 91.4809s
epoch 284, joint learning loss: 0.0022, time: 3.0880s
epoch 285, avg. triple loss: 0.0514, cost time: 4.4529s
epoch 285, CE, avg. triple loss: 0.9458, cost time: 94.6135s
epoch 285, joint learning loss: 0.0022, time: 2.8774s
epoch 286, avg. triple loss: 0.0503, cost time: 4.5348s
epoch 286, CE, avg. triple loss: 0.9446, cost time: 83.7743s
epoch 286, joint learning loss: 0.0022, time: 2.6636s
epoch 287, avg. triple loss: 0.0509, cost time: 5.0384s
epoch 287, CE, avg. triple loss: 0.9458, cost time: 93.3879s
epoch 287, joint learning loss: 0.0022, time: 2.8684s
epoch 288, avg. triple loss: 0.0512, cost time: 4.5860s
epoch 288, CE, avg. triple loss: 0.9447, cost time: 89.1529s
epoch 288, joint learning loss: 0.0022, time: 3.3146s
epoch 289, avg. triple loss: 0.0513, cost time: 5.5060s
epoch 289, CE, avg. triple loss: 0.9466, cost time: 89.7396s
epoch 289, joint learning loss: 0.0022, time: 2.8362s
epoch 290, avg. triple loss: 0.0519, cost time: 4.4171s
epoch 290, CE, avg. triple loss: 0.9465, cost time: 88.5283s
epoch 290, joint learning loss: 0.0022, time: 3.3439s
quick results: hits@[1, 5, 10, 50] = [92.95 98.1 99.1 99.95]%, time = 6.755 s
epoch 291, avg. triple loss: 0.0508, cost time: 4.3714s
epoch 291, CE, avg. triple loss: 0.9458, cost time: 90.1051s
epoch 291, joint learning loss: 0.0022, time: 2.7235s
epoch 292, avg. triple loss: 0.0520, cost time: 5.6368s
epoch 292, CE, avg. triple loss: 0.9448, cost time: 89.5136s
epoch 292, joint learning loss: 0.0022, time: 3.0083s
epoch 293, avg. triple loss: 0.0516, cost time: 6.0199s
epoch 293, CE, avg. triple loss: 0.9454, cost time: 89.2756s
epoch 293, joint learning loss: 0.0022, time: 3.2290s
epoch 294, avg. triple loss: 0.0512, cost time: 4.8838s
epoch 294, CE, avg. triple loss: 0.9451, cost time: 87.6717s
epoch 294, joint learning loss: 0.0022, time: 2.8247s
epoch 295, avg. triple loss: 0.0504, cost time: 5.3592s
epoch 295, CE, avg. triple loss: 0.9458, cost time: 88.2612s
epoch 295, joint learning loss: 0.0022, time: 3.0989s
epoch 296, avg. triple loss: 0.0520, cost time: 4.5684s
epoch 296, CE, avg. triple loss: 0.9449, cost time: 88.2750s
epoch 296, joint learning loss: 0.0022, time: 2.6917s
epoch 297, avg. triple loss: 0.0514, cost time: 4.4242s
epoch 297, CE, avg. triple loss: 0.9451, cost time: 81.2156s
epoch 297, joint learning loss: 0.0022, time: 2.5129s
epoch 298, avg. triple loss: 0.0512, cost time: 4.8675s
epoch 298, CE, avg. triple loss: 0.9454, cost time: 82.3138s
epoch 298, joint learning loss: 0.0022, time: 2.0209s
epoch 299, avg. triple loss: 0.0515, cost time: 3.9570s
epoch 299, CE, avg. triple loss: 0.9448, cost time: 84.2712s
epoch 299, joint learning loss: 0.0022, time: 2.6864s
epoch 300, avg. triple loss: 0.0509, cost time: 4.9681s
epoch 300, CE, avg. triple loss: 0.9456, cost time: 80.1219s
epoch 300, joint learning loss: 0.0022, time: 2.5540s
quick results: hits@[1, 5, 10, 50] = [ 93.05 98.3 99.3 100. ]%, time = 7.706 s
epoch 301, avg. triple loss: 0.0501, cost time: 4.5589s
epoch 301, CE, avg. triple loss: 0.9435, cost time: 86.5360s
epoch 301, joint learning loss: 0.0022, time: 2.9589s
epoch 302, avg. triple loss: 0.0502, cost time: 4.4212s
epoch 302, CE, avg. triple loss: 0.9438, cost time: 84.9875s
epoch 302, joint learning loss: 0.0022, time: 2.9301s
epoch 303, avg. triple loss: 0.0509, cost time: 4.3080s