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nohup_jape.txt
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nohup_jape.txt
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load arguments: {'training_data': '../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/', 'output': '../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/', 'dataset_division': '541_5fold', 'embedding_module': 'JAPE', 'alignment_module': 'sharing', 'search_module': 'greedy', 'dim': 100, 'init': 'normal', 'ent_l2_norm': True, 'rel_l2_norm': True, 'loss_norm': 'L2', 'learning_rate': 0.01, 'optimizer': 'Adagrad', 'max_epoch': 2000, 'batch_size': 5000, 'attr_max_epoch': 200, 'top_attr_threshold': 0.9, 'attr_sim_mat_threshold': 0.95, 'attr_sim_mat_beta': 0.001, 'neg_alpha': 0.1, 'neg_sampling': 'uniform', 'neg_triple_num': 1, 'sub_mat_size': 1000, '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': False}
JAPE
<openea.modules.args.args_hander.ARGs object at 0x7fbd5fa6f908>
read relation triples: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Gold-LLM/rel_triples_1
read relation triples: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Gold-LLM/rel_triples_2
read attribute triples: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Gold-LLM/attr_triples_1
read attribute triples: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Gold-LLM/attr_triples_2
read links: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Gold-LLM/541_5fold/1/train_links
read links: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Gold-LLM/541_5fold/1/valid_links
read links: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Gold-LLM/541_5fold/1/test_links
Number of rt_dict: 60077
Number of hr_dict: 40094
entity relations dict: 60077
Number of av_dict: 60000
entity attributes dict: 60000
KG statistics:
Number of entities: 60094
Number of relations: 4
Number of attributes: 9
Number of relation triples: 380077
Number of attribute triples: 179923
Number of local relation triples: 380077
Number of local attribute triples: 179923
Number of rt_dict: 60000
Number of hr_dict: 3
entity relations dict: 60000
Number of av_dict: 60000
entity attributes dict: 60000
KG statistics:
Number of entities: 60003
Number of relations: 1
Number of attributes: 23
Number of relation triples: 60000
Number of attribute triples: 459923
Number of local relation triples: 60000
Number of local attribute triples: 459923
Number of rt_dict: 60077
Number of hr_dict: 40094
entity relations dict: 60077
Number of av_dict: 60000
entity attributes dict: 60000
KG statistics:
Number of entities: 60094
Number of relations: 4
Number of attributes: 9
Number of relation triples: 380077
Number of attribute triples: 179923
Number of local relation triples: 380077
Number of local attribute triples: 179923
Number of rt_dict: 60000
Number of hr_dict: 3
entity relations dict: 60000
Number of av_dict: 60000
entity attributes dict: 60000
KG statistics:
Number of entities: 60003
Number of relations: 1
Number of attributes: 23
Number of relation triples: 60000
Number of attribute triples: 459923
Number of local relation triples: 60000
Number of local attribute triples: 459923
../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/ ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Gold-LLM/ ['..', '..', 'OntologySummit', 'AirlinesCustomerSatisfaction', 'EntityAlignment', 'Gold-LLM'] 541_5fold/1/ JAPE
results output folder: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/JAPE/Gold-LLM/541_5fold/1/20231115065502/
Training attribute embeddings:
../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/ ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/Gold-LLM/ ['..', '..', 'OntologySummit', 'AirlinesCustomerSatisfaction', 'EntityAlignment', 'Gold-LLM'] 541_5fold/1/ Attr2Vec
results output folder: ../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/Attr2Vec/Gold-LLM/541_5fold/1/20231115065503/
total attributes: 9
selected attributes 8
total attributes: 23
selected attributes 20
total selected attributes 28
total attributes: 9
selected attributes 8
total attributes: 23
selected attributes 20
total selected attributes 28
entity attribute dict 90000
training data of attribute correlations 1830039
epoch 1, attribute loss: 2924.2129, cost time: 18.2976s
epoch 2, attribute loss: 2433.3994, cost time: 16.9573s
epoch 3, attribute loss: 2135.2687, cost time: 17.8627s
epoch 4, attribute loss: 1968.2411, cost time: 18.1199s
epoch 5, attribute loss: 1889.8230, cost time: 17.7255s
epoch 6, attribute loss: 1815.3753, cost time: 18.2116s
epoch 7, attribute loss: 1771.7343, cost time: 17.8710s
epoch 8, attribute loss: 1704.2832, cost time: 18.1253s
epoch 9, attribute loss: 1677.1938, cost time: 17.5967s
epoch 10, attribute loss: 1641.7295, cost time: 17.5951s
epoch 11, attribute loss: 1660.1646, cost time: 17.8333s
epoch 12, attribute loss: 1605.1407, cost time: 17.8651s
epoch 13, attribute loss: 1618.8946, cost time: 18.6632s
epoch 14, attribute loss: 1561.0308, cost time: 17.8360s
epoch 15, attribute loss: 1578.1106, cost time: 18.2372s
epoch 16, attribute loss: 1547.3258, cost time: 18.2217s
epoch 17, attribute loss: 1511.8441, cost time: 17.5568s
epoch 18, attribute loss: 1546.3008, cost time: 18.5557s
epoch 19, attribute loss: 1477.2170, cost time: 18.2541s
epoch 20, attribute loss: 1499.6794, cost time: 18.3368s
epoch 21, attribute loss: 1513.6872, cost time: 18.4595s
epoch 22, attribute loss: 1497.3955, cost time: 18.2947s
epoch 23, attribute loss: 1461.5025, cost time: 18.6135s
epoch 24, attribute loss: 1455.0724, cost time: 18.6454s
epoch 25, attribute loss: 1447.2640, cost time: 18.3246s
epoch 26, attribute loss: 1428.3500, cost time: 18.8805s
epoch 27, attribute loss: 1469.5816, cost time: 18.2190s
epoch 28, attribute loss: 1410.4790, cost time: 18.1351s
epoch 29, attribute loss: 1392.6991, cost time: 19.6177s
epoch 30, attribute loss: 1404.2864, cost time: 18.4555s
epoch 31, attribute loss: 1419.8153, cost time: 20.3163s
epoch 32, attribute loss: 1392.0544, cost time: 19.4775s
epoch 33, attribute loss: 1392.5227, cost time: 18.1448s
epoch 34, attribute loss: 1332.9589, cost time: 17.9701s
epoch 35, attribute loss: 1365.2412, cost time: 18.7520s
epoch 36, attribute loss: 1320.6850, cost time: 18.7213s
epoch 37, attribute loss: 1363.6003, cost time: 19.1978s
epoch 38, attribute loss: 1317.9881, cost time: 18.2603s
epoch 39, attribute loss: 1322.9492, cost time: 17.9923s
epoch 40, attribute loss: 1316.0550, cost time: 18.6988s
epoch 41, attribute loss: 1324.2595, cost time: 18.2685s
epoch 42, attribute loss: 1318.1457, cost time: 18.1956s
epoch 43, attribute loss: 1299.4225, cost time: 18.5937s
epoch 44, attribute loss: 1327.3541, cost time: 18.6184s
epoch 45, attribute loss: 1306.4659, cost time: 18.2424s
epoch 46, attribute loss: 1297.9002, cost time: 18.7953s
epoch 47, attribute loss: 1287.2713, cost time: 18.2085s
epoch 48, attribute loss: 1304.9315, cost time: 18.8196s
epoch 49, attribute loss: 1262.0969, cost time: 18.8472s
epoch 50, attribute loss: 1266.7245, cost time: 18.8063s
epoch 51, attribute loss: 1241.6096, cost time: 17.8648s
epoch 52, attribute loss: 1249.1526, cost time: 18.1460s
epoch 53, attribute loss: 1255.1760, cost time: 18.5989s
epoch 54, attribute loss: 1233.1667, cost time: 19.0560s
epoch 55, attribute loss: 1267.9174, cost time: 18.6383s
epoch 56, attribute loss: 1239.7293, cost time: 17.6871s
epoch 57, attribute loss: 1261.3132, cost time: 17.6531s
epoch 58, attribute loss: 1230.5822, cost time: 16.8683s
epoch 59, attribute loss: 1220.1552, cost time: 16.5879s
epoch 60, attribute loss: 1236.2469, cost time: 16.6147s
epoch 61, attribute loss: 1256.5416, cost time: 17.1937s
epoch 62, attribute loss: 1230.4166, cost time: 16.2805s
epoch 63, attribute loss: 1198.9575, cost time: 16.9187s
epoch 64, attribute loss: 1228.5975, cost time: 16.3496s
epoch 65, attribute loss: 1199.0114, cost time: 16.3954s
epoch 66, attribute loss: 1215.3066, cost time: 16.6413s
epoch 67, attribute loss: 1210.0485, cost time: 16.0830s
epoch 68, attribute loss: 1232.8483, cost time: 17.2430s
epoch 69, attribute loss: 1240.0040, cost time: 17.9768s
epoch 70, attribute loss: 1196.3251, cost time: 16.4970s
epoch 71, attribute loss: 1202.9348, cost time: 17.2303s
epoch 72, attribute loss: 1172.3916, cost time: 16.9982s
epoch 73, attribute loss: 1143.7445, cost time: 17.6971s
epoch 74, attribute loss: 1178.9797, cost time: 16.6240s
epoch 75, attribute loss: 1150.1208, cost time: 16.5251s
epoch 76, attribute loss: 1166.2272, cost time: 15.9614s
epoch 77, attribute loss: 1175.1827, cost time: 17.5923s
epoch 78, attribute loss: 1161.9701, cost time: 17.7232s
epoch 79, attribute loss: 1198.9663, cost time: 16.7734s
epoch 80, attribute loss: 1133.6609, cost time: 17.2971s
epoch 81, attribute loss: 1158.9888, cost time: 17.2962s
epoch 82, attribute loss: 1141.8727, cost time: 17.6065s
epoch 83, attribute loss: 1167.6679, cost time: 16.9929s
epoch 84, attribute loss: 1149.0817, cost time: 16.4253s
epoch 85, attribute loss: 1140.8233, cost time: 16.2753s
epoch 86, attribute loss: 1153.9641, cost time: 17.3491s
epoch 87, attribute loss: 1095.2453, cost time: 18.4935s
epoch 88, attribute loss: 1134.1163, cost time: 17.0000s
epoch 89, attribute loss: 1137.9099, cost time: 16.5228s
epoch 90, attribute loss: 1141.0417, cost time: 17.2394s
epoch 91, attribute loss: 1149.3214, cost time: 18.3928s
epoch 92, attribute loss: 1101.9434, cost time: 19.5515s
epoch 93, attribute loss: 1136.6014, cost time: 19.3165s
epoch 94, attribute loss: 1103.7587, cost time: 19.8084s
epoch 95, attribute loss: 1110.9266, cost time: 18.9627s
epoch 96, attribute loss: 1121.3174, cost time: 18.1851s
epoch 97, attribute loss: 1125.8247, cost time: 18.6886s
epoch 98, attribute loss: 1133.7745, cost time: 19.6410s
epoch 99, attribute loss: 1131.0472, cost time: 18.7368s
epoch 100, attribute loss: 1115.9803, cost time: 18.8229s
epoch 101, attribute loss: 1123.1687, cost time: 18.9219s
epoch 102, attribute loss: 1111.1132, cost time: 19.3120s
epoch 103, attribute loss: 1106.7256, cost time: 17.5671s
epoch 104, attribute loss: 1083.0194, cost time: 19.2512s
epoch 105, attribute loss: 1095.6914, cost time: 18.5668s
epoch 106, attribute loss: 1101.3038, cost time: 19.3823s
epoch 107, attribute loss: 1091.3999, cost time: 18.1711s
epoch 108, attribute loss: 1096.3209, cost time: 19.3453s
epoch 109, attribute loss: 1049.8828, cost time: 18.5316s
epoch 110, attribute loss: 1098.0611, cost time: 19.0344s
epoch 111, attribute loss: 1046.7699, cost time: 19.0445s
epoch 112, attribute loss: 1068.3416, cost time: 18.8075s
epoch 113, attribute loss: 1094.8381, cost time: 19.8309s
epoch 114, attribute loss: 1109.1807, cost time: 17.9546s
epoch 115, attribute loss: 1066.8032, cost time: 18.5200s
epoch 116, attribute loss: 1082.7601, cost time: 18.4721s
epoch 117, attribute loss: 1079.2616, cost time: 19.5700s
epoch 118, attribute loss: 1052.0594, cost time: 19.8558s
epoch 119, attribute loss: 1042.5291, cost time: 18.7441s
epoch 120, attribute loss: 1050.7314, cost time: 19.2266s
epoch 121, attribute loss: 1052.6414, cost time: 18.8891s
epoch 122, attribute loss: 1069.8414, cost time: 19.2164s
epoch 123, attribute loss: 1027.1805, cost time: 19.4516s
epoch 124, attribute loss: 1073.4231, cost time: 19.2399s
epoch 125, attribute loss: 1058.5953, cost time: 19.4497s
epoch 126, attribute loss: 1044.7525, cost time: 19.5877s
epoch 127, attribute loss: 1033.4468, cost time: 19.2504s
epoch 128, attribute loss: 1060.8247, cost time: 19.1329s
epoch 129, attribute loss: 1055.3368, cost time: 18.7020s
epoch 130, attribute loss: 1034.6424, cost time: 19.8986s
epoch 131, attribute loss: 1010.7627, cost time: 20.4856s
epoch 132, attribute loss: 1021.6250, cost time: 18.8716s
epoch 133, attribute loss: 1076.9103, cost time: 18.7545s
epoch 134, attribute loss: 1031.6743, cost time: 18.8319s
epoch 135, attribute loss: 1030.2942, cost time: 18.2606s
epoch 136, attribute loss: 1035.2379, cost time: 18.9772s
epoch 137, attribute loss: 1047.6935, cost time: 19.3144s
epoch 138, attribute loss: 1028.9918, cost time: 18.5032s
epoch 139, attribute loss: 1011.2177, cost time: 20.0158s
epoch 140, attribute loss: 1035.9973, cost time: 19.1484s
epoch 141, attribute loss: 1026.5611, cost time: 19.1775s
epoch 142, attribute loss: 1018.7120, cost time: 18.8778s
epoch 143, attribute loss: 1006.6588, cost time: 19.1512s
epoch 144, attribute loss: 1041.3091, cost time: 18.0577s
epoch 145, attribute loss: 1046.8589, cost time: 18.1845s
epoch 146, attribute loss: 998.7478, cost time: 18.4302s
epoch 147, attribute loss: 1026.9031, cost time: 18.1449s
epoch 148, attribute loss: 994.9593, cost time: 20.1080s
epoch 149, attribute loss: 994.3596, cost time: 18.8701s
epoch 150, attribute loss: 1013.8733, cost time: 18.1264s
epoch 151, attribute loss: 999.6489, cost time: 17.4987s
epoch 152, attribute loss: 1008.9678, cost time: 17.4175s
epoch 153, attribute loss: 999.5666, cost time: 18.3548s
epoch 154, attribute loss: 1003.0831, cost time: 18.0242s
epoch 155, attribute loss: 1021.5231, cost time: 16.9425s
epoch 156, attribute loss: 1000.5149, cost time: 16.7892s
epoch 157, attribute loss: 984.7375, cost time: 16.8206s
epoch 158, attribute loss: 981.7999, cost time: 17.1336s
epoch 159, attribute loss: 1002.0554, cost time: 17.2493s
epoch 160, attribute loss: 997.0672, cost time: 16.3440s
epoch 161, attribute loss: 988.8997, cost time: 18.3860s
epoch 162, attribute loss: 986.0573, cost time: 17.5504s
epoch 163, attribute loss: 1005.5408, cost time: 16.8262s
epoch 164, attribute loss: 1010.7116, cost time: 16.1649s
epoch 165, attribute loss: 985.4684, cost time: 17.1315s
epoch 166, attribute loss: 994.8418, cost time: 17.9402s
epoch 167, attribute loss: 989.3730, cost time: 16.9983s
epoch 168, attribute loss: 994.9578, cost time: 17.2387s
epoch 169, attribute loss: 979.0788, cost time: 17.0201s
epoch 170, attribute loss: 994.6660, cost time: 17.8131s
epoch 171, attribute loss: 985.8583, cost time: 17.7799s
epoch 172, attribute loss: 990.2225, cost time: 17.2173s
epoch 173, attribute loss: 971.2877, cost time: 16.9104s
epoch 174, attribute loss: 988.2166, cost time: 18.1002s
epoch 175, attribute loss: 984.3169, cost time: 18.3693s
epoch 176, attribute loss: 996.5320, cost time: 16.8402s
epoch 177, attribute loss: 945.5254, cost time: 16.7126s
epoch 178, attribute loss: 979.4353, cost time: 17.4412s
epoch 179, attribute loss: 978.3802, cost time: 17.8119s
epoch 180, attribute loss: 959.0109, cost time: 16.8147s
epoch 181, attribute loss: 967.3759, cost time: 16.7702s
epoch 182, attribute loss: 970.1087, cost time: 18.0325s
epoch 183, attribute loss: 959.2781, cost time: 18.6553s
epoch 184, attribute loss: 945.4752, cost time: 16.3380s
epoch 185, attribute loss: 960.7870, cost time: 17.7136s
epoch 186, attribute loss: 949.6296, cost time: 16.5116s
epoch 187, attribute loss: 942.1214, cost time: 17.7110s
epoch 188, attribute loss: 942.0108, cost time: 17.5516s
epoch 189, attribute loss: 948.5298, cost time: 17.0164s
epoch 190, attribute loss: 948.1451, cost time: 16.5258s
epoch 191, attribute loss: 950.8150, cost time: 16.6390s
epoch 192, attribute loss: 951.2009, cost time: 19.5524s
epoch 193, attribute loss: 937.7885, cost time: 18.6298s
epoch 194, attribute loss: 976.6684, cost time: 18.4569s
epoch 195, attribute loss: 940.4908, cost time: 17.2937s
epoch 196, attribute loss: 943.0658, cost time: 18.1538s
epoch 197, attribute loss: 928.9886, cost time: 18.5325s
epoch 198, attribute loss: 942.7074, cost time: 18.8401s
epoch 199, attribute loss: 927.2342, cost time: 17.5881s
epoch 200, attribute loss: 932.9358, cost time: 17.5709s
get entity embeddings from attributes
cost time: 1536.8188s
Training attributes ends. Total time = 5176.361 s.
Joint training:
epoch 1, avg. triple loss: 1.3197, cost time: 32.2310s
epoch 1, sim loss: 30.0000, cost time: 27.4450s
epoch 2, avg. triple loss: 0.9377, cost time: 32.8416s
epoch 2, sim loss: 30.0000, cost time: 24.7885s
epoch 3, avg. triple loss: 0.8603, cost time: 30.9644s
epoch 3, sim loss: 30.0000, cost time: 27.5525s
epoch 4, avg. triple loss: 0.7818, cost time: 30.9329s
epoch 4, sim loss: 30.0000, cost time: 24.5130s
epoch 5, avg. triple loss: 0.6881, cost time: 31.7293s
epoch 5, sim loss: 30.0000, cost time: 26.3763s
epoch 6, avg. triple loss: 0.5866, cost time: 30.4058s
epoch 6, sim loss: 30.0000, cost time: 26.9439s
epoch 7, avg. triple loss: 0.4881, cost time: 29.9045s
epoch 7, sim loss: 30.0000, cost time: 25.9921s
epoch 8, avg. triple loss: 0.4000, cost time: 31.8964s
epoch 8, sim loss: 30.0000, cost time: 26.8720s
epoch 9, avg. triple loss: 0.3258, cost time: 32.5016s
epoch 9, sim loss: 30.0000, cost time: 29.7657s
epoch 10, avg. triple loss: 0.2656, cost time: 30.7448s
epoch 10, sim loss: 30.0000, cost time: 26.9137s
epoch 11, avg. triple loss: 0.2178, cost time: 32.6420s
epoch 11, sim loss: 30.0000, cost time: 26.7894s
epoch 12, avg. triple loss: 0.1802, cost time: 29.5190s
epoch 12, sim loss: 30.0000, cost time: 27.9395s
epoch 13, avg. triple loss: 0.1507, cost time: 32.2915s
epoch 13, sim loss: 30.0000, cost time: 28.2211s
epoch 14, avg. triple loss: 0.1271, cost time: 30.6988s
epoch 14, sim loss: 30.0000, cost time: 26.9707s
epoch 15, avg. triple loss: 0.1082, cost time: 30.8909s
epoch 15, sim loss: 30.0000, cost time: 28.0179s
epoch 16, avg. triple loss: 0.0925, cost time: 30.5459s
epoch 16, sim loss: 30.0000, cost time: 26.9740s
epoch 17, avg. triple loss: 0.0796, cost time: 31.9495s
epoch 17, sim loss: 30.0000, cost time: 27.5339s
epoch 18, avg. triple loss: 0.0679, cost time: 31.0676s
epoch 18, sim loss: 30.0000, cost time: 28.1643s
epoch 19, avg. triple loss: 0.0578, cost time: 32.0934s
epoch 19, sim loss: 30.0000, cost time: 26.9123s
epoch 20, avg. triple loss: 0.0486, cost time: 29.6616s
epoch 20, sim loss: 30.0000, cost time: 23.0435s
epoch 21, avg. triple loss: 0.0399, cost time: 28.8488s
epoch 21, sim loss: 30.0000, cost time: 25.9185s
epoch 22, avg. triple loss: 0.0318, cost time: 28.5279s
epoch 22, sim loss: 30.0000, cost time: 24.2925s
epoch 23, avg. triple loss: 0.0240, cost time: 30.8577s
epoch 23, sim loss: 30.0000, cost time: 25.4883s
epoch 24, avg. triple loss: 0.0168, cost time: 29.2022s
epoch 24, sim loss: 30.0000, cost time: 24.2638s
epoch 25, avg. triple loss: 0.0094, cost time: 28.4264s
epoch 25, sim loss: 30.0000, cost time: 23.5956s
epoch 26, avg. triple loss: 0.0028, cost time: 30.7214s
epoch 26, sim loss: 30.0000, cost time: 25.5013s
epoch 27, avg. triple loss: -0.0039, cost time: 28.1385s
epoch 27, sim loss: 30.0000, cost time: 25.9335s
epoch 28, avg. triple loss: -0.0106, cost time: 28.6133s
epoch 28, sim loss: 30.0000, cost time: 25.8078s
epoch 29, avg. triple loss: -0.0168, cost time: 29.3463s
epoch 29, sim loss: 30.0000, cost time: 23.4396s
epoch 30, avg. triple loss: -0.0233, cost time: 27.0167s
epoch 30, sim loss: 30.0000, cost time: 24.0010s
epoch 31, avg. triple loss: -0.0289, cost time: 27.4680s
epoch 31, sim loss: 30.0000, cost time: 23.7558s
epoch 32, avg. triple loss: -0.0351, cost time: 28.5787s
epoch 32, sim loss: 30.0000, cost time: 23.7364s
epoch 33, avg. triple loss: -0.0411, cost time: 27.3655s
epoch 33, sim loss: 30.0000, cost time: 23.5508s
epoch 34, avg. triple loss: -0.0465, cost time: 28.0132s
epoch 34, sim loss: 30.0000, cost time: 24.9038s
epoch 35, avg. triple loss: -0.0516, cost time: 30.6645s
epoch 35, sim loss: 30.0000, cost time: 26.9018s
epoch 36, avg. triple loss: -0.0569, cost time: 29.7088s
epoch 36, sim loss: 30.0000, cost time: 27.6943s
epoch 37, avg. triple loss: -0.0615, cost time: 29.5699s
epoch 37, sim loss: 30.0000, cost time: 27.0003s
epoch 38, avg. triple loss: -0.0666, cost time: 30.0681s
epoch 38, sim loss: 30.0000, cost time: 26.9211s
epoch 39, avg. triple loss: -0.0714, cost time: 30.9371s
epoch 39, sim loss: 30.0000, cost time: 26.6088s
epoch 40, avg. triple loss: -0.0754, cost time: 29.9794s
epoch 40, sim loss: 30.0000, cost time: 26.6127s
epoch 41, avg. triple loss: -0.0799, cost time: 30.8653s
epoch 41, sim loss: 30.0000, cost time: 24.9115s
epoch 42, avg. triple loss: -0.0845, cost time: 30.0297s
epoch 42, sim loss: 30.0000, cost time: 27.1456s
epoch 43, avg. triple loss: -0.0881, cost time: 29.5757s
epoch 43, sim loss: 30.0000, cost time: 26.6475s
epoch 44, avg. triple loss: -0.0921, cost time: 30.0764s
epoch 44, sim loss: 30.0000, cost time: 25.1929s
epoch 45, avg. triple loss: -0.0958, cost time: 32.3198s
epoch 45, sim loss: 30.0000, cost time: 28.9184s
epoch 46, avg. triple loss: -0.0993, cost time: 31.1049s
epoch 46, sim loss: 30.0000, cost time: 25.3237s
epoch 47, avg. triple loss: -0.1026, cost time: 31.7865s
epoch 47, sim loss: 30.0000, cost time: 25.6906s
epoch 48, avg. triple loss: -0.1059, cost time: 32.3756s
epoch 48, sim loss: 30.0000, cost time: 27.3860s
epoch 49, avg. triple loss: -0.1090, cost time: 31.1031s
epoch 49, sim loss: 30.0000, cost time: 28.3197s
epoch 50, avg. triple loss: -0.1119, cost time: 32.8132s
epoch 50, sim loss: 30.0000, cost time: 26.2866s
epoch 51, avg. triple loss: -0.1150, cost time: 33.8965s
epoch 51, sim loss: 30.0000, cost time: 28.1270s
epoch 52, avg. triple loss: -0.1174, cost time: 31.7326s
epoch 52, sim loss: 30.0000, cost time: 28.4696s
epoch 53, avg. triple loss: -0.1209, cost time: 30.9217s
epoch 53, sim loss: 30.0000, cost time: 24.2312s
epoch 54, avg. triple loss: -0.1227, cost time: 30.3961s
epoch 54, sim loss: 30.0000, cost time: 26.3580s
epoch 55, avg. triple loss: -0.1251, cost time: 28.6261s
epoch 55, sim loss: 30.0000, cost time: 25.0801s
epoch 56, avg. triple loss: -0.1280, cost time: 30.9697s
epoch 56, sim loss: 30.0000, cost time: 26.1271s
epoch 57, avg. triple loss: -0.1304, cost time: 28.8849s
epoch 57, sim loss: 30.0000, cost time: 27.4422s
epoch 58, avg. triple loss: -0.1320, cost time: 29.6830s
epoch 58, sim loss: 30.0000, cost time: 25.7203s
epoch 59, avg. triple loss: -0.1341, cost time: 30.5802s
epoch 59, sim loss: 30.0000, cost time: 25.6509s
epoch 60, avg. triple loss: -0.1362, cost time: 30.3106s
epoch 60, sim loss: 30.0000, cost time: 26.2859s
epoch 61, avg. triple loss: -0.1380, cost time: 29.2457s
epoch 61, sim loss: 30.0000, cost time: 27.2812s
epoch 62, avg. triple loss: -0.1398, cost time: 29.2966s
epoch 62, sim loss: 30.0000, cost time: 25.1860s
epoch 63, avg. triple loss: -0.1412, cost time: 29.5592s
epoch 63, sim loss: 30.0000, cost time: 26.5933s
epoch 64, avg. triple loss: -0.1436, cost time: 28.4909s
epoch 64, sim loss: 30.0000, cost time: 26.4235s
epoch 65, avg. triple loss: -0.1451, cost time: 29.1542s
epoch 65, sim loss: 30.0000, cost time: 25.0122s
epoch 66, avg. triple loss: -0.1467, cost time: 28.2436s
epoch 66, sim loss: 30.0000, cost time: 23.6573s
epoch 67, avg. triple loss: -0.1476, cost time: 28.5256s
epoch 67, sim loss: 30.0000, cost time: 27.2167s
epoch 68, avg. triple loss: -0.1492, cost time: 29.3602s
epoch 68, sim loss: 30.0000, cost time: 26.4142s
epoch 69, avg. triple loss: -0.1507, cost time: 39.5290s
epoch 69, sim loss: 30.0000, cost time: 37.1082s
epoch 70, avg. triple loss: -0.1518, cost time: 41.2161s
epoch 70, sim loss: 30.0000, cost time: 38.9191s
epoch 71, avg. triple loss: -0.1535, cost time: 42.4220s
epoch 71, sim loss: 30.0000, cost time: 37.7425s
epoch 72, avg. triple loss: -0.1544, cost time: 41.3838s
epoch 72, sim loss: 30.0000, cost time: 34.8982s
epoch 73, avg. triple loss: -0.1556, cost time: 40.0206s
epoch 73, sim loss: 30.0000, cost time: 37.4774s
epoch 74, avg. triple loss: -0.1566, cost time: 39.3093s
epoch 74, sim loss: 30.0000, cost time: 33.2782s
epoch 75, avg. triple loss: -0.1573, cost time: 37.0578s
epoch 75, sim loss: 30.0000, cost time: 33.8005s
epoch 76, avg. triple loss: -0.1585, cost time: 42.6491s
epoch 76, sim loss: 30.0000, cost time: 37.8354s
epoch 77, avg. triple loss: -0.1600, cost time: 44.1148s
epoch 77, sim loss: 30.0000, cost time: 42.1382s
epoch 78, avg. triple loss: -0.1604, cost time: 43.1088s
epoch 78, sim loss: 30.0000, cost time: 40.9338s
epoch 79, avg. triple loss: -0.1615, cost time: 46.3732s
epoch 79, sim loss: 30.0000, cost time: 40.3717s
epoch 80, avg. triple loss: -0.1623, cost time: 43.7686s
epoch 80, sim loss: 30.0000, cost time: 41.8806s
epoch 81, avg. triple loss: -0.1635, cost time: 44.2002s
epoch 81, sim loss: 30.0000, cost time: 41.4713s
epoch 82, avg. triple loss: -0.1641, cost time: 43.0684s
epoch 82, sim loss: 30.0000, cost time: 40.6387s
epoch 83, avg. triple loss: -0.1647, cost time: 44.3675s
epoch 83, sim loss: 30.0000, cost time: 39.6220s
epoch 84, avg. triple loss: -0.1658, cost time: 52.2637s
epoch 84, sim loss: 30.0000, cost time: 39.4019s
epoch 85, avg. triple loss: -0.1662, cost time: 44.5942s
epoch 85, sim loss: 30.0000, cost time: 38.2362s
epoch 86, avg. triple loss: -0.1669, cost time: 44.8276s
epoch 86, sim loss: 30.0000, cost time: 39.2641s
epoch 87, avg. triple loss: -0.1674, cost time: 43.8531s
epoch 87, sim loss: 30.0000, cost time: 41.8166s
epoch 88, avg. triple loss: -0.1681, cost time: 44.2608s
epoch 88, sim loss: 30.0000, cost time: 40.3486s
epoch 89, avg. triple loss: -0.1688, cost time: 45.5207s
epoch 89, sim loss: 30.0000, cost time: 38.0342s
epoch 90, avg. triple loss: -0.1694, cost time: 41.2499s
epoch 90, sim loss: 30.0000, cost time: 38.4862s
epoch 91, avg. triple loss: -0.1699, cost time: 39.5659s
epoch 91, sim loss: 30.0000, cost time: 36.3273s
epoch 92, avg. triple loss: -0.1704, cost time: 41.5218s
epoch 92, sim loss: 30.0000, cost time: 35.0884s
epoch 93, avg. triple loss: -0.1705, cost time: 40.3073s
epoch 93, sim loss: 30.0000, cost time: 36.7411s
epoch 94, avg. triple loss: -0.1716, cost time: 40.7600s
epoch 94, sim loss: 30.0000, cost time: 37.4759s
epoch 95, avg. triple loss: -0.1719, cost time: 42.0833s
epoch 95, sim loss: 30.0000, cost time: 37.4525s
epoch 96, avg. triple loss: -0.1726, cost time: 45.1682s
epoch 96, sim loss: 30.0000, cost time: 39.5676s
epoch 97, avg. triple loss: -0.1732, cost time: 42.2273s
epoch 97, sim loss: 30.0000, cost time: 36.2361s
epoch 98, avg. triple loss: -0.1736, cost time: 44.0996s
epoch 98, sim loss: 30.0000, cost time: 38.2914s
epoch 99, avg. triple loss: -0.1738, cost time: 44.5695s
epoch 99, sim loss: 30.0000, cost time: 37.9581s
epoch 100, avg. triple loss: -0.1744, cost time: 42.7485s
epoch 100, sim loss: 30.0000, cost time: 37.4095s
quick results: hits@[1, 5, 10, 50] = [0.017 0.033 0.1 0.567]%, time = 16.794 s
epoch 101, avg. triple loss: -0.1745, cost time: 40.4173s
epoch 101, sim loss: 30.0000, cost time: 38.6218s
epoch 102, avg. triple loss: -0.1749, cost time: 41.6269s
epoch 102, sim loss: 30.0000, cost time: 36.9551s
epoch 103, avg. triple loss: -0.1753, cost time: 41.4964s
epoch 103, sim loss: 30.0000, cost time: 37.4273s
epoch 104, avg. triple loss: -0.1756, cost time: 45.3706s
epoch 104, sim loss: 30.0000, cost time: 40.9580s
epoch 105, avg. triple loss: -0.1759, cost time: 43.3602s
epoch 105, sim loss: 30.0000, cost time: 38.4434s
epoch 106, avg. triple loss: -0.1766, cost time: 42.5617s
epoch 106, sim loss: 30.0000, cost time: 37.2012s
epoch 107, avg. triple loss: -0.1765, cost time: 41.3663s
epoch 107, sim loss: 30.0000, cost time: 36.0617s
epoch 108, avg. triple loss: -0.1769, cost time: 40.3942s
epoch 108, sim loss: 30.0000, cost time: 35.7944s
epoch 109, avg. triple loss: -0.1770, cost time: 43.3917s
epoch 109, sim loss: 30.0000, cost time: 36.3269s
epoch 110, avg. triple loss: -0.1774, cost time: 42.0971s
epoch 110, sim loss: 30.0000, cost time: 34.2210s
quick results: hits@[1, 5, 10, 50] = [0.017 0.067 0.083 0.583]%, time = 15.727 s
epoch 111, avg. triple loss: -0.1779, cost time: 41.9217s
epoch 111, sim loss: 30.0000, cost time: 38.2493s
epoch 112, avg. triple loss: -0.1782, cost time: 41.5688s
epoch 112, sim loss: 30.0000, cost time: 40.8468s
epoch 113, avg. triple loss: -0.1784, cost time: 46.2049s
epoch 113, sim loss: 30.0000, cost time: 42.2146s
epoch 114, avg. triple loss: -0.1783, cost time: 45.5151s
epoch 114, sim loss: 30.0000, cost time: 41.8978s
epoch 115, avg. triple loss: -0.1790, cost time: 45.3952s
epoch 115, sim loss: 30.0000, cost time: 40.3183s
epoch 116, avg. triple loss: -0.1791, cost time: 45.2974s
epoch 116, sim loss: 30.0000, cost time: 41.1624s
epoch 117, avg. triple loss: -0.1793, cost time: 45.2197s
epoch 117, sim loss: 30.0000, cost time: 40.5179s
epoch 118, avg. triple loss: -0.1794, cost time: 42.4662s
epoch 118, sim loss: 30.0000, cost time: 36.4995s
epoch 119, avg. triple loss: -0.1799, cost time: 40.1766s
epoch 119, sim loss: 30.0000, cost time: 36.3325s
epoch 120, avg. triple loss: -0.1799, cost time: 40.1780s
epoch 120, sim loss: 30.0000, cost time: 36.9567s
quick results: hits@[1, 5, 10, 50] = [0.017 0.033 0.083 0.633]%, time = 18.312 s
== should early stop ==
Training ends. Total time = 8133.436 s.
accurate results: hits@[1, 5, 10, 50] = [0.017 0.054 0.112 0.608]%, mr = 3998.978, mrr = 0.001201, time = 82.786 s
accurate results with csls: csls=10, hits@[1, 5, 10, 50] = [0.012 0.062 0.112 0.567]%, mr = 3998.417, mrr = 0.001188, time = 138.562 s
Results saved!
../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/JAPE/Gold-LLM/541_5fold/1/20231115065502/kg1_ent_ids saved.
../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/JAPE/Gold-LLM/541_5fold/1/20231115065502/kg2_ent_ids saved.
../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/JAPE/Gold-LLM/541_5fold/1/20231115065502/kg1_rel_ids saved.
../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/JAPE/Gold-LLM/541_5fold/1/20231115065502/kg2_rel_ids saved.
../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/JAPE/Gold-LLM/541_5fold/1/20231115065502/kg1_attr_ids saved.
../../OntologySummit/AirlinesCustomerSatisfaction/EntityAlignment/results/JAPE/Gold-LLM/541_5fold/1/20231115065502/kg2_attr_ids saved.
Embeddings saved!
Total run time = 13611.227 s.