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nohup_gold-basic_attre.txt
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load arguments: {'training_data': '../../datasets/', 'output': '../../output/results/Paper/eCommerceData/', 'dataset_division': '721_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 0x7fc0499657f0>
read relation triples: ../../datasets/Ontologies/Paper/eCommerceData/Gold-Basic/rel_triples_1
read relation triples: ../../datasets/Ontologies/Paper/eCommerceData/Gold-Basic/rel_triples_2
read attribute triples: ../../datasets/Ontologies/Paper/eCommerceData/Gold-Basic/attr_triples_1
read attribute triples: ../../datasets/Ontologies/Paper/eCommerceData/Gold-Basic/attr_triples_2
read links: ../../datasets/Ontologies/Paper/eCommerceData/Gold-Basic/721_5fold/1/train_links
read links: ../../datasets/Ontologies/Paper/eCommerceData/Gold-Basic/721_5fold/1/valid_links
read links: ../../datasets/Ontologies/Paper/eCommerceData/Gold-Basic/721_5fold/1/test_links
Number of rt_dict: 24753
Number of hr_dict: 23821
entity relations dict: 24753
Number of av_dict: 5328
entity attributes dict: 5328
KG statistics:
Number of entities: 24759
Number of relations: 7
Number of attributes: 8
Number of relation triples: 85585
Number of attribute triples: 10081
Number of local relation triples: 85585
Number of local attribute triples: 10081
Number of rt_dict: 938
Number of hr_dict: 1
entity relations dict: 938
Number of av_dict: 938
entity attributes dict: 938
KG statistics:
Number of entities: 939
Number of relations: 1
Number of attributes: 8
Number of relation triples: 938
Number of attribute triples: 53611
Number of local relation triples: 938
Number of local attribute triples: 53611
Number of rt_dict: 24753
Number of hr_dict: 23821
entity relations dict: 24753
Number of av_dict: 5328
entity attributes dict: 5328
KG statistics:
Number of entities: 24759
Number of relations: 7
Number of attributes: 8
Number of relation triples: 85585
Number of attribute triples: 10081
Number of local relation triples: 85585
Number of local attribute triples: 10081
Number of rt_dict: 938
Number of hr_dict: 1
entity relations dict: 938
Number of av_dict: 938
entity attributes dict: 938
KG statistics:
Number of entities: 939
Number of relations: 1
Number of attributes: 8
Number of relation triples: 938
Number of attribute triples: 53611
Number of local relation triples: 938
Number of local attribute triples: 53611
../../output/results/Paper/eCommerceData/ ../../datasets/Ontologies/Paper/eCommerceData/Gold-Basic/ ['..', '..', 'datasets', 'Ontologies', 'Paper', 'eCommerceData', 'Gold-Basic'] 721_5fold/1/ AttrE
results output folder: ../../output/results/Paper/eCommerceData/AttrE/Gold-Basic/721_5fold/1/20231016225754/
epoch 1, avg. triple loss: 1.0544, cost time: 4.6616s
epoch 1, CE, avg. triple loss: 1.0790, cost time: 7.4551s
epoch 1, joint learning loss: 0.9337, time: 2.0157s
epoch 2, avg. triple loss: 0.7879, cost time: 6.1053s
epoch 2, CE, avg. triple loss: 0.7634, cost time: 7.3375s
epoch 2, joint learning loss: 0.7832, time: 1.5120s
epoch 3, avg. triple loss: 0.6972, cost time: 6.4068s
epoch 3, CE, avg. triple loss: 0.6555, cost time: 8.4408s
epoch 3, joint learning loss: 0.6458, time: 1.3239s
epoch 4, avg. triple loss: 0.6507, cost time: 6.4916s
epoch 4, CE, avg. triple loss: 0.6002, cost time: 7.0895s
epoch 4, joint learning loss: 0.5248, time: 1.5657s
epoch 5, avg. triple loss: 0.6151, cost time: 6.2159s
epoch 5, CE, avg. triple loss: 0.5765, cost time: 7.2811s
epoch 5, joint learning loss: 0.4214, time: 1.6390s
epoch 6, avg. triple loss: 0.5843, cost time: 5.1490s
epoch 6, CE, avg. triple loss: 0.5617, cost time: 6.6834s
epoch 6, joint learning loss: 0.3357, time: 1.2337s
epoch 7, avg. triple loss: 0.5646, cost time: 6.5616s
epoch 7, CE, avg. triple loss: 0.5541, cost time: 6.6211s
epoch 7, joint learning loss: 0.2662, time: 1.2876s
epoch 8, avg. triple loss: 0.5491, cost time: 6.2769s
epoch 8, CE, avg. triple loss: 0.5382, cost time: 6.5129s
epoch 8, joint learning loss: 0.2109, time: 1.5031s
epoch 9, avg. triple loss: 0.5334, cost time: 5.7058s
epoch 9, CE, avg. triple loss: 0.5311, cost time: 7.1056s
epoch 9, joint learning loss: 0.1675, time: 1.3628s
epoch 10, avg. triple loss: 0.5163, cost time: 5.0977s
epoch 10, CE, avg. triple loss: 0.5245, cost time: 6.3073s
epoch 10, joint learning loss: 0.1337, time: 1.2259s
epoch 11, avg. triple loss: 0.5061, cost time: 5.7210s
epoch 11, CE, avg. triple loss: 0.5180, cost time: 6.6978s
epoch 11, joint learning loss: 0.1077, time: 1.5165s
epoch 12, avg. triple loss: 0.4943, cost time: 6.0008s
epoch 12, CE, avg. triple loss: 0.5175, cost time: 6.7520s
epoch 12, joint learning loss: 0.0878, time: 1.5227s
epoch 13, avg. triple loss: 0.4899, cost time: 6.4134s
epoch 13, CE, avg. triple loss: 0.5131, cost time: 7.1274s
epoch 13, joint learning loss: 0.0724, time: 1.3123s
epoch 14, avg. triple loss: 0.4797, cost time: 5.8605s
epoch 14, CE, avg. triple loss: 0.5078, cost time: 6.6807s
epoch 14, joint learning loss: 0.0606, time: 1.7187s
epoch 15, avg. triple loss: 0.4681, cost time: 5.5666s
epoch 15, CE, avg. triple loss: 0.5050, cost time: 5.8147s
epoch 15, joint learning loss: 0.0515, time: 1.1678s
epoch 16, avg. triple loss: 0.4621, cost time: 6.1125s
epoch 16, CE, avg. triple loss: 0.5050, cost time: 7.6416s
epoch 16, joint learning loss: 0.0446, time: 0.9822s
epoch 17, avg. triple loss: 0.4537, cost time: 4.9736s
epoch 17, CE, avg. triple loss: 0.5039, cost time: 6.1216s
epoch 17, joint learning loss: 0.0392, time: 1.5154s
epoch 18, avg. triple loss: 0.4478, cost time: 5.2664s
epoch 18, CE, avg. triple loss: 0.4951, cost time: 6.3302s
epoch 18, joint learning loss: 0.0349, time: 1.0809s
epoch 19, avg. triple loss: 0.4384, cost time: 4.4969s
epoch 19, CE, avg. triple loss: 0.4984, cost time: 6.4582s
epoch 19, joint learning loss: 0.0316, time: 1.3250s
epoch 20, avg. triple loss: 0.4319, cost time: 5.0563s
epoch 20, CE, avg. triple loss: 0.4910, cost time: 5.9232s
epoch 20, joint learning loss: 0.0290, time: 1.1355s
epoch 21, avg. triple loss: 0.4263, cost time: 5.0982s
epoch 21, CE, avg. triple loss: 0.4935, cost time: 6.0264s
epoch 21, joint learning loss: 0.0270, time: 0.9113s
epoch 22, avg. triple loss: 0.4183, cost time: 5.6213s
epoch 22, CE, avg. triple loss: 0.4918, cost time: 6.4912s
epoch 22, joint learning loss: 0.0253, time: 1.2772s
epoch 23, avg. triple loss: 0.4112, cost time: 5.5118s
epoch 23, CE, avg. triple loss: 0.4880, cost time: 6.5469s
epoch 23, joint learning loss: 0.0239, time: 1.1657s
epoch 24, avg. triple loss: 0.4065, cost time: 5.9168s
epoch 24, CE, avg. triple loss: 0.4883, cost time: 6.2495s
epoch 24, joint learning loss: 0.0228, time: 1.2730s
epoch 25, avg. triple loss: 0.4008, cost time: 4.7174s
epoch 25, CE, avg. triple loss: 0.4910, cost time: 6.4069s
epoch 25, joint learning loss: 0.0219, time: 1.0243s
epoch 26, avg. triple loss: 0.3914, cost time: 5.8929s
epoch 26, CE, avg. triple loss: 0.4845, cost time: 6.5955s
epoch 26, joint learning loss: 0.0212, time: 1.1478s
epoch 27, avg. triple loss: 0.3890, cost time: 5.9251s
epoch 27, CE, avg. triple loss: 0.4823, cost time: 6.9042s
epoch 27, joint learning loss: 0.0205, time: 1.0885s
epoch 28, avg. triple loss: 0.3808, cost time: 5.9673s
epoch 28, CE, avg. triple loss: 0.4871, cost time: 6.8156s
epoch 28, joint learning loss: 0.0199, time: 1.1992s
epoch 29, avg. triple loss: 0.3766, cost time: 5.6799s
epoch 29, CE, avg. triple loss: 0.4866, cost time: 6.6690s
epoch 29, joint learning loss: 0.0195, time: 0.8904s
epoch 30, avg. triple loss: 0.3724, cost time: 5.9479s
epoch 30, CE, avg. triple loss: 0.4830, cost time: 5.8004s
epoch 30, joint learning loss: 0.0190, time: 1.0956s
epoch 31, avg. triple loss: 0.3647, cost time: 5.4621s
epoch 31, CE, avg. triple loss: 0.4848, cost time: 7.0002s
epoch 31, joint learning loss: 0.0186, time: 1.3136s
epoch 32, avg. triple loss: 0.3603, cost time: 5.6894s
epoch 32, CE, avg. triple loss: 0.4828, cost time: 6.4398s
epoch 32, joint learning loss: 0.0182, time: 1.2195s
epoch 33, avg. triple loss: 0.3550, cost time: 4.8914s
epoch 33, CE, avg. triple loss: 0.4781, cost time: 5.2798s
epoch 33, joint learning loss: 0.0179, time: 1.2218s
epoch 34, avg. triple loss: 0.3471, cost time: 3.9252s
epoch 34, CE, avg. triple loss: 0.4821, cost time: 5.1678s
epoch 34, joint learning loss: 0.0175, time: 1.0675s
epoch 35, avg. triple loss: 0.3436, cost time: 3.9107s
epoch 35, CE, avg. triple loss: 0.4820, cost time: 6.1669s
epoch 35, joint learning loss: 0.0172, time: 0.9003s
epoch 36, avg. triple loss: 0.3408, cost time: 4.5849s
epoch 36, CE, avg. triple loss: 0.4765, cost time: 4.9422s
epoch 36, joint learning loss: 0.0169, time: 1.0299s
epoch 37, avg. triple loss: 0.3363, cost time: 4.4456s
epoch 37, CE, avg. triple loss: 0.4767, cost time: 4.8457s
epoch 37, joint learning loss: 0.0166, time: 1.1011s
epoch 38, avg. triple loss: 0.3297, cost time: 4.1338s
epoch 38, CE, avg. triple loss: 0.4812, cost time: 4.9222s
epoch 38, joint learning loss: 0.0164, time: 1.0289s
epoch 39, avg. triple loss: 0.3258, cost time: 4.6750s
epoch 39, CE, avg. triple loss: 0.4811, cost time: 4.7974s
epoch 39, joint learning loss: 0.0161, time: 0.9231s
epoch 40, avg. triple loss: 0.3217, cost time: 4.8180s
epoch 40, CE, avg. triple loss: 0.4760, cost time: 5.3214s
epoch 40, joint learning loss: 0.0159, time: 0.9622s
epoch 41, avg. triple loss: 0.3167, cost time: 4.7420s
epoch 41, CE, avg. triple loss: 0.4809, cost time: 5.7836s
epoch 41, joint learning loss: 0.0156, time: 0.8742s
epoch 42, avg. triple loss: 0.3140, cost time: 4.6070s
epoch 42, CE, avg. triple loss: 0.4752, cost time: 4.8655s
epoch 42, joint learning loss: 0.0154, time: 1.1798s
epoch 43, avg. triple loss: 0.3087, cost time: 4.6241s
epoch 43, CE, avg. triple loss: 0.4741, cost time: 5.4810s
epoch 43, joint learning loss: 0.0152, time: 1.0407s
epoch 44, avg. triple loss: 0.3028, cost time: 4.6782s
epoch 44, CE, avg. triple loss: 0.4754, cost time: 5.9404s
epoch 44, joint learning loss: 0.0149, time: 1.0211s
epoch 45, avg. triple loss: 0.3013, cost time: 4.3376s
epoch 45, CE, avg. triple loss: 0.4769, cost time: 4.6713s
epoch 45, joint learning loss: 0.0147, time: 0.8043s
epoch 46, avg. triple loss: 0.2961, cost time: 4.5057s
epoch 46, CE, avg. triple loss: 0.4706, cost time: 4.7074s
epoch 46, joint learning loss: 0.0145, time: 1.0757s
epoch 47, avg. triple loss: 0.2941, cost time: 5.2865s
epoch 47, CE, avg. triple loss: 0.4688, cost time: 5.6136s
epoch 47, joint learning loss: 0.0143, time: 0.9758s
epoch 48, avg. triple loss: 0.2889, cost time: 5.0840s
epoch 48, CE, avg. triple loss: 0.4737, cost time: 5.0689s
epoch 48, joint learning loss: 0.0140, time: 0.8679s
epoch 49, avg. triple loss: 0.2852, cost time: 4.9536s
epoch 49, CE, avg. triple loss: 0.4765, cost time: 5.7726s
epoch 49, joint learning loss: 0.0138, time: 1.3305s
epoch 50, avg. triple loss: 0.2826, cost time: 4.4293s
epoch 50, CE, avg. triple loss: 0.4738, cost time: 5.5224s
epoch 50, joint learning loss: 0.0136, time: 1.2287s
epoch 51, avg. triple loss: 0.2800, cost time: 5.5850s
epoch 51, CE, avg. triple loss: 0.4694, cost time: 5.0191s
epoch 51, joint learning loss: 0.0134, time: 1.0202s
epoch 52, avg. triple loss: 0.2771, cost time: 4.8861s
epoch 52, CE, avg. triple loss: 0.4783, cost time: 5.5983s
epoch 52, joint learning loss: 0.0132, time: 0.9827s
epoch 53, avg. triple loss: 0.2681, cost time: 4.4791s
epoch 53, CE, avg. triple loss: 0.4722, cost time: 5.4585s
epoch 53, joint learning loss: 0.0130, time: 1.2307s
epoch 54, avg. triple loss: 0.2699, cost time: 4.7987s
epoch 54, CE, avg. triple loss: 0.4709, cost time: 5.3903s
epoch 54, joint learning loss: 0.0128, time: 1.0428s
epoch 55, avg. triple loss: 0.2670, cost time: 4.6743s
epoch 55, CE, avg. triple loss: 0.4732, cost time: 4.2107s
epoch 55, joint learning loss: 0.0126, time: 0.7929s
epoch 56, avg. triple loss: 0.2643, cost time: 3.6247s
epoch 56, CE, avg. triple loss: 0.4695, cost time: 4.4550s
epoch 56, joint learning loss: 0.0124, time: 0.9522s
epoch 57, avg. triple loss: 0.2610, cost time: 3.4785s
epoch 57, CE, avg. triple loss: 0.4694, cost time: 4.5932s
epoch 57, joint learning loss: 0.0123, time: 1.0652s
epoch 58, avg. triple loss: 0.2571, cost time: 3.5931s
epoch 58, CE, avg. triple loss: 0.4710, cost time: 5.0069s
epoch 58, joint learning loss: 0.0121, time: 1.0355s
epoch 59, avg. triple loss: 0.2535, cost time: 3.3564s
epoch 59, CE, avg. triple loss: 0.4681, cost time: 4.1577s
epoch 59, joint learning loss: 0.0120, time: 0.7886s
epoch 60, avg. triple loss: 0.2517, cost time: 3.3810s
epoch 60, CE, avg. triple loss: 0.4684, cost time: 3.6045s
epoch 60, joint learning loss: 0.0117, time: 0.6623s
epoch 61, avg. triple loss: 0.2478, cost time: 3.3959s
epoch 61, CE, avg. triple loss: 0.4696, cost time: 3.4487s
epoch 61, joint learning loss: 0.0116, time: 0.6338s
epoch 62, avg. triple loss: 0.2444, cost time: 3.3900s
epoch 62, CE, avg. triple loss: 0.4650, cost time: 3.2892s
epoch 62, joint learning loss: 0.0114, time: 0.6378s
epoch 63, avg. triple loss: 0.2429, cost time: 3.6823s
epoch 63, CE, avg. triple loss: 0.4677, cost time: 3.4500s
epoch 63, joint learning loss: 0.0112, time: 0.8784s
epoch 64, avg. triple loss: 0.2408, cost time: 2.8397s
epoch 64, CE, avg. triple loss: 0.4730, cost time: 3.4489s
epoch 64, joint learning loss: 0.0111, time: 0.6263s
epoch 65, avg. triple loss: 0.2391, cost time: 3.0869s
epoch 65, CE, avg. triple loss: 0.4677, cost time: 3.7531s
epoch 65, joint learning loss: 0.0109, time: 0.6634s
epoch 66, avg. triple loss: 0.2321, cost time: 2.8810s
epoch 66, CE, avg. triple loss: 0.4678, cost time: 3.2122s
epoch 66, joint learning loss: 0.0108, time: 0.6122s
epoch 67, avg. triple loss: 0.2319, cost time: 3.3963s
epoch 67, CE, avg. triple loss: 0.4700, cost time: 3.3426s
epoch 67, joint learning loss: 0.0106, time: 0.6016s
epoch 68, avg. triple loss: 0.2311, cost time: 2.6531s
epoch 68, CE, avg. triple loss: 0.4623, cost time: 3.0340s
epoch 68, joint learning loss: 0.0105, time: 0.5658s
epoch 69, avg. triple loss: 0.2271, cost time: 2.9758s
epoch 69, CE, avg. triple loss: 0.4657, cost time: 3.2984s
epoch 69, joint learning loss: 0.0104, time: 0.5660s
epoch 70, avg. triple loss: 0.2270, cost time: 2.7334s
epoch 70, CE, avg. triple loss: 0.4688, cost time: 3.1590s
epoch 70, joint learning loss: 0.0102, time: 0.5878s
epoch 71, avg. triple loss: 0.2220, cost time: 2.9033s
epoch 71, CE, avg. triple loss: 0.4662, cost time: 3.2547s
epoch 71, joint learning loss: 0.0101, time: 0.6938s
epoch 72, avg. triple loss: 0.2226, cost time: 3.0061s
epoch 72, CE, avg. triple loss: 0.4655, cost time: 3.4327s
epoch 72, joint learning loss: 0.0100, time: 0.7075s
epoch 73, avg. triple loss: 0.2212, cost time: 2.7921s
epoch 73, CE, avg. triple loss: 0.4702, cost time: 3.4321s
epoch 73, joint learning loss: 0.0099, time: 0.5120s
epoch 74, avg. triple loss: 0.2174, cost time: 2.9462s
epoch 74, CE, avg. triple loss: 0.4664, cost time: 3.2928s
epoch 74, joint learning loss: 0.0097, time: 0.5878s
epoch 75, avg. triple loss: 0.2159, cost time: 2.8128s
epoch 75, CE, avg. triple loss: 0.4676, cost time: 3.5540s
epoch 75, joint learning loss: 0.0096, time: 0.4326s
epoch 76, avg. triple loss: 0.2150, cost time: 3.2550s
epoch 76, CE, avg. triple loss: 0.4664, cost time: 3.4263s
epoch 76, joint learning loss: 0.0095, time: 0.5785s
epoch 77, avg. triple loss: 0.2126, cost time: 3.1015s
epoch 77, CE, avg. triple loss: 0.4646, cost time: 3.5944s
epoch 77, joint learning loss: 0.0093, time: 0.7079s
epoch 78, avg. triple loss: 0.2100, cost time: 3.1202s
epoch 78, CE, avg. triple loss: 0.4689, cost time: 3.3774s
epoch 78, joint learning loss: 0.0092, time: 0.5605s
epoch 79, avg. triple loss: 0.2075, cost time: 3.2376s
epoch 79, CE, avg. triple loss: 0.4648, cost time: 3.4088s
epoch 79, joint learning loss: 0.0091, time: 0.6969s
epoch 80, avg. triple loss: 0.2068, cost time: 3.0833s
epoch 80, CE, avg. triple loss: 0.4640, cost time: 3.4897s
epoch 80, joint learning loss: 0.0090, time: 0.5166s
epoch 81, avg. triple loss: 0.2043, cost time: 2.9678s
epoch 81, CE, avg. triple loss: 0.4709, cost time: 3.2350s
epoch 81, joint learning loss: 0.0089, time: 0.6073s
epoch 82, avg. triple loss: 0.2038, cost time: 3.2362s
epoch 82, CE, avg. triple loss: 0.4668, cost time: 3.2817s
epoch 82, joint learning loss: 0.0088, time: 0.5998s
epoch 83, avg. triple loss: 0.2000, cost time: 2.8654s
epoch 83, CE, avg. triple loss: 0.4650, cost time: 3.4661s
epoch 83, joint learning loss: 0.0087, time: 0.7239s
epoch 84, avg. triple loss: 0.2014, cost time: 2.9282s
epoch 84, CE, avg. triple loss: 0.4609, cost time: 3.3489s
epoch 84, joint learning loss: 0.0086, time: 0.8389s
epoch 85, avg. triple loss: 0.1973, cost time: 3.0636s
epoch 85, CE, avg. triple loss: 0.4679, cost time: 2.8472s
epoch 85, joint learning loss: 0.0085, time: 0.5213s
epoch 86, avg. triple loss: 0.1967, cost time: 2.7440s
epoch 86, CE, avg. triple loss: 0.4659, cost time: 3.4451s
epoch 86, joint learning loss: 0.0084, time: 0.4850s
epoch 87, avg. triple loss: 0.1945, cost time: 2.6574s
epoch 87, CE, avg. triple loss: 0.4641, cost time: 3.3949s
epoch 87, joint learning loss: 0.0083, time: 0.4987s
epoch 88, avg. triple loss: 0.1951, cost time: 3.3345s
epoch 88, CE, avg. triple loss: 0.4621, cost time: 3.0239s
epoch 88, joint learning loss: 0.0082, time: 0.4614s
epoch 89, avg. triple loss: 0.1903, cost time: 2.9201s
epoch 89, CE, avg. triple loss: 0.4638, cost time: 2.7900s
epoch 89, joint learning loss: 0.0081, time: 0.4219s
epoch 90, avg. triple loss: 0.1900, cost time: 3.1241s
epoch 90, CE, avg. triple loss: 0.4674, cost time: 3.7294s
epoch 90, joint learning loss: 0.0080, time: 0.6380s
epoch 91, avg. triple loss: 0.1883, cost time: 2.8986s
epoch 91, CE, avg. triple loss: 0.4670, cost time: 3.3895s
epoch 91, joint learning loss: 0.0079, time: 0.5740s
epoch 92, avg. triple loss: 0.1872, cost time: 3.0698s
epoch 92, CE, avg. triple loss: 0.4633, cost time: 3.3146s
epoch 92, joint learning loss: 0.0079, time: 0.7259s
epoch 93, avg. triple loss: 0.1851, cost time: 2.6224s
epoch 93, CE, avg. triple loss: 0.4595, cost time: 2.9278s
epoch 93, joint learning loss: 0.0078, time: 0.5918s
epoch 94, avg. triple loss: 0.1835, cost time: 3.4862s
epoch 94, CE, avg. triple loss: 0.4617, cost time: 3.1843s
epoch 94, joint learning loss: 0.0077, time: 0.7656s
epoch 95, avg. triple loss: 0.1844, cost time: 3.0185s
epoch 95, CE, avg. triple loss: 0.4642, cost time: 3.4869s
epoch 95, joint learning loss: 0.0076, time: 0.8122s
epoch 96, avg. triple loss: 0.1829, cost time: 2.9363s
epoch 96, CE, avg. triple loss: 0.4613, cost time: 3.4184s
epoch 96, joint learning loss: 0.0075, time: 0.5371s
epoch 97, avg. triple loss: 0.1798, cost time: 3.1497s
epoch 97, CE, avg. triple loss: 0.4592, cost time: 3.3870s
epoch 97, joint learning loss: 0.0075, time: 0.6119s
epoch 98, avg. triple loss: 0.1789, cost time: 2.9095s
epoch 98, CE, avg. triple loss: 0.4633, cost time: 3.6539s
epoch 98, joint learning loss: 0.0074, time: 0.8385s
epoch 99, avg. triple loss: 0.1782, cost time: 3.3077s
epoch 99, CE, avg. triple loss: 0.4595, cost time: 3.3248s
epoch 99, joint learning loss: 0.0073, time: 0.5545s
epoch 100, avg. triple loss: 0.1766, cost time: 3.3367s
epoch 100, CE, avg. triple loss: 0.4617, cost time: 3.8335s
epoch 100, joint learning loss: 0.0072, time: 0.6986s
quick results: hits@[1, 5, 10, 50] = [ 2.128 4.255 8.511 23.404]%, time = 1.740 s
epoch 101, avg. triple loss: 0.1748, cost time: 3.4724s
epoch 101, CE, avg. triple loss: 0.4656, cost time: 3.7394s
epoch 101, joint learning loss: 0.0072, time: 0.7674s
epoch 102, avg. triple loss: 0.1759, cost time: 2.9029s
epoch 102, CE, avg. triple loss: 0.4572, cost time: 3.7152s
epoch 102, joint learning loss: 0.0071, time: 0.8660s
epoch 103, avg. triple loss: 0.1747, cost time: 3.0982s
epoch 103, CE, avg. triple loss: 0.4599, cost time: 3.7654s
epoch 103, joint learning loss: 0.0070, time: 0.5182s
epoch 104, avg. triple loss: 0.1728, cost time: 3.5628s
epoch 104, CE, avg. triple loss: 0.4625, cost time: 3.8014s
epoch 104, joint learning loss: 0.0070, time: 0.6754s
epoch 105, avg. triple loss: 0.1708, cost time: 2.8178s
epoch 105, CE, avg. triple loss: 0.4633, cost time: 3.5572s
epoch 105, joint learning loss: 0.0069, time: 0.7402s
epoch 106, avg. triple loss: 0.1712, cost time: 3.2688s
epoch 106, CE, avg. triple loss: 0.4566, cost time: 3.0837s
epoch 106, joint learning loss: 0.0069, time: 0.5787s
epoch 107, avg. triple loss: 0.1684, cost time: 3.0464s
epoch 107, CE, avg. triple loss: 0.4646, cost time: 3.5008s
epoch 107, joint learning loss: 0.0068, time: 0.5523s
epoch 108, avg. triple loss: 0.1689, cost time: 2.7718s
epoch 108, CE, avg. triple loss: 0.4639, cost time: 3.4860s
epoch 108, joint learning loss: 0.0067, time: 0.5408s
epoch 109, avg. triple loss: 0.1667, cost time: 2.6431s
epoch 109, CE, avg. triple loss: 0.4635, cost time: 3.6642s
epoch 109, joint learning loss: 0.0067, time: 1.0268s
epoch 110, avg. triple loss: 0.1679, cost time: 2.8271s
epoch 110, CE, avg. triple loss: 0.4639, cost time: 3.6461s
epoch 110, joint learning loss: 0.0066, time: 0.7806s
quick results: hits@[1, 5, 10, 50] = [ 3.191 6.383 10.638 23.404]%, time = 1.297 s
epoch 111, avg. triple loss: 0.1658, cost time: 2.9315s
epoch 111, CE, avg. triple loss: 0.4585, cost time: 2.8845s
epoch 111, joint learning loss: 0.0066, time: 0.5743s
epoch 112, avg. triple loss: 0.1649, cost time: 3.1879s
epoch 112, CE, avg. triple loss: 0.4639, cost time: 3.3193s
epoch 112, joint learning loss: 0.0065, time: 0.5049s
epoch 113, avg. triple loss: 0.1649, cost time: 3.0121s
epoch 113, CE, avg. triple loss: 0.4614, cost time: 3.6167s
epoch 113, joint learning loss: 0.0065, time: 0.7081s
epoch 114, avg. triple loss: 0.1631, cost time: 2.8052s
epoch 114, CE, avg. triple loss: 0.4595, cost time: 3.5944s
epoch 114, joint learning loss: 0.0064, time: 0.6465s
epoch 115, avg. triple loss: 0.1619, cost time: 2.9016s
epoch 115, CE, avg. triple loss: 0.4575, cost time: 3.4723s
epoch 115, joint learning loss: 0.0064, time: 0.7315s
epoch 116, avg. triple loss: 0.1620, cost time: 2.7376s
epoch 116, CE, avg. triple loss: 0.4589, cost time: 3.7186s
epoch 116, joint learning loss: 0.0063, time: 0.4715s
epoch 117, avg. triple loss: 0.1614, cost time: 3.3652s
epoch 117, CE, avg. triple loss: 0.4537, cost time: 3.4047s
epoch 117, joint learning loss: 0.0063, time: 0.4965s
epoch 118, avg. triple loss: 0.1604, cost time: 3.0015s
epoch 118, CE, avg. triple loss: 0.4624, cost time: 3.7797s
epoch 118, joint learning loss: 0.0062, time: 0.6365s
epoch 119, avg. triple loss: 0.1566, cost time: 3.1355s
epoch 119, CE, avg. triple loss: 0.4618, cost time: 3.3178s
epoch 119, joint learning loss: 0.0062, time: 0.5943s
epoch 120, avg. triple loss: 0.1581, cost time: 3.0829s
epoch 120, CE, avg. triple loss: 0.4607, cost time: 3.7425s
epoch 120, joint learning loss: 0.0061, time: 0.6866s
quick results: hits@[1, 5, 10, 50] = [ 3.191 7.447 9.574 28.723]%, time = 1.275 s
epoch 121, avg. triple loss: 0.1568, cost time: 2.6522s
epoch 121, CE, avg. triple loss: 0.4652, cost time: 3.7322s
epoch 121, joint learning loss: 0.0061, time: 0.6326s
epoch 122, avg. triple loss: 0.1557, cost time: 2.7268s
epoch 122, CE, avg. triple loss: 0.4606, cost time: 3.4862s
epoch 122, joint learning loss: 0.0060, time: 0.6682s
epoch 123, avg. triple loss: 0.1546, cost time: 3.2927s
epoch 123, CE, avg. triple loss: 0.4607, cost time: 3.3686s
epoch 123, joint learning loss: 0.0060, time: 0.6036s
epoch 124, avg. triple loss: 0.1547, cost time: 3.1039s
epoch 124, CE, avg. triple loss: 0.4628, cost time: 3.6823s
epoch 124, joint learning loss: 0.0059, time: 0.7071s
epoch 125, avg. triple loss: 0.1548, cost time: 2.8256s
epoch 125, CE, avg. triple loss: 0.4603, cost time: 3.5553s
epoch 125, joint learning loss: 0.0059, time: 0.7651s
epoch 126, avg. triple loss: 0.1538, cost time: 3.1843s
epoch 126, CE, avg. triple loss: 0.4604, cost time: 3.3675s
epoch 126, joint learning loss: 0.0058, time: 0.6550s
epoch 127, avg. triple loss: 0.1524, cost time: 2.7852s
epoch 127, CE, avg. triple loss: 0.4635, cost time: 3.5020s
epoch 127, joint learning loss: 0.0058, time: 0.6974s
epoch 128, avg. triple loss: 0.1518, cost time: 3.4606s
epoch 128, CE, avg. triple loss: 0.4600, cost time: 3.3429s
epoch 128, joint learning loss: 0.0057, time: 0.5476s
epoch 129, avg. triple loss: 0.1510, cost time: 3.2212s
epoch 129, CE, avg. triple loss: 0.4599, cost time: 3.0798s
epoch 129, joint learning loss: 0.0057, time: 0.6140s
epoch 130, avg. triple loss: 0.1497, cost time: 3.3439s
epoch 130, CE, avg. triple loss: 0.4601, cost time: 3.7596s
epoch 130, joint learning loss: 0.0057, time: 0.6259s
quick results: hits@[1, 5, 10, 50] = [ 2.128 6.383 10.638 30.851]%, time = 1.412 s
== should early stop ==
Training ends. Total time = 1240.812 s.
accurate results: hits@[1, 5, 10, 50] = [ 1.333 5.333 11.2 30.667]%, mr = 131.563, mrr = 0.048752, time = 1.377 s
accurate results with csls: csls=10, hits@[1, 5, 10, 50] = [ 1.867 6.133 12. 31.733]%, mr = 125.901, mrr = 0.055124, time = 1.297 s
Results saved!
../../output/results/Paper/eCommerceData/AttrE/Gold-Basic/721_5fold/1/20231016225754/kg1_ent_ids saved.
../../output/results/Paper/eCommerceData/AttrE/Gold-Basic/721_5fold/1/20231016225754/kg2_ent_ids saved.
../../output/results/Paper/eCommerceData/AttrE/Gold-Basic/721_5fold/1/20231016225754/kg1_rel_ids saved.
../../output/results/Paper/eCommerceData/AttrE/Gold-Basic/721_5fold/1/20231016225754/kg2_rel_ids saved.
../../output/results/Paper/eCommerceData/AttrE/Gold-Basic/721_5fold/1/20231016225754/kg1_attr_ids saved.
../../output/results/Paper/eCommerceData/AttrE/Gold-Basic/721_5fold/1/20231016225754/kg2_attr_ids saved.
Embeddings saved!
Total run time = 1254.027 s.