Create path : ./save_180/fig
/sharedata/datasets/CTMRI/CT1mm/train_180 /sharedata/datasets/CTMRI/CT1mm/train
Loading Data. totol count: 26648
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STEP [3960], EPOCH [3/100], ITER [628/1666] 
LOSS: 0.00085228, TIME: 575.5s
STEP [3980], EPOCH [3/100], ITER [648/1666] 
LOSS: 0.00084013, TIME: 578.3s
STEP [4000], EPOCH [3/100], ITER [668/1666] 
LOSS: 0.00073877, TIME: 581.2s
STEP [4020], EPOCH [3/100], ITER [688/1666] 
LOSS: 0.00082308, TIME: 584.1s
STEP [4040], EPOCH [3/100], ITER [708/1666] 
LOSS: 0.00086682, TIME: 586.9s
STEP [4060], EPOCH [3/100], ITER [728/1666] 
LOSS: 0.00106967, TIME: 589.8s
STEP [4080], EPOCH [3/100], ITER [748/1666] 
LOSS: 0.00072019, TIME: 592.6s
STEP [4100], EPOCH [3/100], ITER [768/1666] 
LOSS: 0.00102147, TIME: 595.5s
STEP [4120], EPOCH [3/100], ITER [788/1666] 
LOSS: 0.00088393, TIME: 598.3s
STEP [4140], EPOCH [3/100], ITER [808/1666] 
LOSS: 0.00092795, TIME: 601.2s
STEP [4160], EPOCH [3/100], ITER [828/1666] 
LOSS: 0.00080563, TIME: 604.0s
STEP [4180], EPOCH [3/100], ITER [848/1666] 
LOSS: 0.00129546, TIME: 606.9s
STEP [4200], EPOCH [3/100], ITER [868/1666] 
LOSS: 0.00070306, TIME: 609.7s
STEP [4220], EPOCH [3/100], ITER [888/1666] 
LOSS: 0.00115315, TIME: 612.6s
STEP [4240], EPOCH [3/100], ITER [908/1666] 
LOSS: 0.00068243, TIME: 615.4s
STEP [4260], EPOCH [3/100], ITER [928/1666] 
LOSS: 0.00080960, TIME: 618.3s
STEP [4280], EPOCH [3/100], ITER [948/1666] 
LOSS: 0.00091486, TIME: 621.1s
STEP [4300], EPOCH [3/100], ITER [968/1666] 
LOSS: 0.00096357, TIME: 624.0s
STEP [4320], EPOCH [3/100], ITER [988/1666] 
LOSS: 0.00077071, TIME: 626.8s
STEP [4340], EPOCH [3/100], ITER [1008/1666] 
LOSS: 0.00071576, TIME: 629.7s
STEP [4360], EPOCH [3/100], ITER [1028/1666] 
LOSS: 0.00074715, TIME: 632.5s
STEP [4380], EPOCH [3/100], ITER [1048/1666] 
LOSS: 0.00088882, TIME: 635.3s
STEP [4400], EPOCH [3/100], ITER [1068/1666] 
LOSS: 0.00100941, TIME: 638.2s
STEP [4420], EPOCH [3/100], ITER [1088/1666] 
LOSS: 0.00077595, TIME: 641.0s
STEP [4440], EPOCH [3/100], ITER [1108/1666] 
LOSS: 0.00098061, TIME: 643.9s
STEP [4460], EPOCH [3/100], ITER [1128/1666] 
LOSS: 0.00079989, TIME: 646.7s
STEP [4480], EPOCH [3/100], ITER [1148/1666] 
LOSS: 0.00072570, TIME: 649.6s
STEP [4500], EPOCH [3/100], ITER [1168/1666] 
LOSS: 0.00086306, TIME: 652.4s
STEP [4520], EPOCH [3/100], ITER [1188/1666] 
LOSS: 0.00117945, TIME: 655.3s
STEP [4540], EPOCH [3/100], ITER [1208/1666] 
LOSS: 0.00065674, TIME: 658.1s
STEP [4560], EPOCH [3/100], ITER [1228/1666] 
LOSS: 0.00082104, TIME: 661.0s
STEP [4580], EPOCH [3/100], ITER [1248/1666] 
LOSS: 0.00064127, TIME: 663.8s
STEP [4600], EPOCH [3/100], ITER [1268/1666] 
LOSS: 0.00118295, TIME: 666.7s
STEP [4620], EPOCH [3/100], ITER [1288/1666] 
LOSS: 0.00127318, TIME: 669.5s
STEP [4640], EPOCH [3/100], ITER [1308/1666] 
LOSS: 0.00140944, TIME: 672.4s
STEP [4660], EPOCH [3/100], ITER [1328/1666] 
LOSS: 0.00121177, TIME: 675.2s
STEP [4680], EPOCH [3/100], ITER [1348/1666] 
LOSS: 0.00087019, TIME: 678.1s
STEP [4700], EPOCH [3/100], ITER [1368/1666] 
LOSS: 0.00057965, TIME: 680.9s
STEP [4720], EPOCH [3/100], ITER [1388/1666] 
LOSS: 0.00079294, TIME: 683.8s
STEP [4740], EPOCH [3/100], ITER [1408/1666] 
LOSS: 0.00114071, TIME: 686.6s
STEP [4760], EPOCH [3/100], ITER [1428/1666] 
LOSS: 0.00088461, TIME: 689.5s
STEP [4780], EPOCH [3/100], ITER [1448/1666] 
LOSS: 0.00069794, TIME: 692.3s
STEP [4800], EPOCH [3/100], ITER [1468/1666] 
LOSS: 0.00075278, TIME: 695.2s
STEP [4820], EPOCH [3/100], ITER [1488/1666] 
LOSS: 0.00084804, TIME: 698.0s
STEP [4840], EPOCH [3/100], ITER [1508/1666] 
LOSS: 0.00080594, TIME: 700.9s
STEP [4860], EPOCH [3/100], ITER [1528/1666] 
LOSS: 0.00086765, TIME: 703.7s
STEP [4880], EPOCH [3/100], ITER [1548/1666] 
LOSS: 0.00076043, TIME: 706.6s
STEP [4900], EPOCH [3/100], ITER [1568/1666] 
LOSS: 0.00109380, TIME: 709.4s
STEP [4920], EPOCH [3/100], ITER [1588/1666] 
LOSS: 0.00077839, TIME: 712.3s
STEP [4940], EPOCH [3/100], ITER [1608/1666] 
LOSS: 0.00063026, TIME: 715.1s
STEP [4960], EPOCH [3/100], ITER [1628/1666] 
LOSS: 0.00091322, TIME: 718.0s
STEP [4980], EPOCH [3/100], ITER [1648/1666] 
LOSS: 0.00096781, TIME: 720.8s
STEP [5000], EPOCH [4/100], ITER [2/1666] 
LOSS: 0.00146197, TIME: 725.1s
STEP [5020], EPOCH [4/100], ITER [22/1666] 
LOSS: 0.00088053, TIME: 728.0s
STEP [5040], EPOCH [4/100], ITER [42/1666] 
LOSS: 0.00066732, TIME: 730.8s
STEP [5060], EPOCH [4/100], ITER [62/1666] 
LOSS: 0.00093612, TIME: 733.7s
STEP [5080], EPOCH [4/100], ITER [82/1666] 
LOSS: 0.00089951, TIME: 736.5s
STEP [5100], EPOCH [4/100], ITER [102/1666] 
LOSS: 0.00070507, TIME: 739.4s
STEP [5120], EPOCH [4/100], ITER [122/1666] 
LOSS: 0.00089864, TIME: 742.2s
STEP [5140], EPOCH [4/100], ITER [142/1666] 
LOSS: 0.00062643, TIME: 745.1s
STEP [5160], EPOCH [4/100], ITER [162/1666] 
LOSS: 0.00097012, TIME: 747.9s
STEP [5180], EPOCH [4/100], ITER [182/1666] 
LOSS: 0.00095377, TIME: 750.8s
STEP [5200], EPOCH [4/100], ITER [202/1666] 
LOSS: 0.00075711, TIME: 753.6s
STEP [5220], EPOCH [4/100], ITER [222/1666] 
LOSS: 0.00069844, TIME: 756.5s
STEP [5240], EPOCH [4/100], ITER [242/1666] 
LOSS: 0.00102449, TIME: 759.3s
STEP [5260], EPOCH [4/100], ITER [262/1666] 
LOSS: 0.00093150, TIME: 762.2s
STEP [5280], EPOCH [4/100], ITER [282/1666] 
LOSS: 0.00067505, TIME: 765.0s
STEP [5300], EPOCH [4/100], ITER [302/1666] 
LOSS: 0.00072656, TIME: 767.9s
STEP [5320], EPOCH [4/100], ITER [322/1666] 
LOSS: 0.00062464, TIME: 770.7s
STEP [5340], EPOCH [4/100], ITER [342/1666] 
LOSS: 0.00080138, TIME: 773.6s
STEP [5360], EPOCH [4/100], ITER [362/1666] 
LOSS: 0.00082425, TIME: 776.4s
STEP [5380], EPOCH [4/100], ITER [382/1666] 
LOSS: 0.00075911, TIME: 779.3s
STEP [5400], EPOCH [4/100], ITER [402/1666] 
LOSS: 0.00083848, TIME: 782.1s
STEP [5420], EPOCH [4/100], ITER [422/1666] 
LOSS: 0.00070115, TIME: 785.0s
STEP [5440], EPOCH [4/100], ITER [442/1666] 
LOSS: 0.00071344, TIME: 787.8s
STEP [5460], EPOCH [4/100], ITER [462/1666] 
LOSS: 0.00100442, TIME: 790.7s
STEP [5480], EPOCH [4/100], ITER [482/1666] 
LOSS: 0.00087107, TIME: 793.5s
STEP [5500], EPOCH [4/100], ITER [502/1666] 
LOSS: 0.00082087, TIME: 796.4s
STEP [5520], EPOCH [4/100], ITER [522/1666] 
LOSS: 0.00085875, TIME: 799.2s
STEP [5540], EPOCH [4/100], ITER [542/1666] 
LOSS: 0.00059664, TIME: 802.1s
STEP [5560], EPOCH [4/100], ITER [562/1666] 
LOSS: 0.00105058, TIME: 804.9s
STEP [5580], EPOCH [4/100], ITER [582/1666] 
LOSS: 0.00059211, TIME: 807.8s
STEP [5600], EPOCH [4/100], ITER [602/1666] 
LOSS: 0.00077741, TIME: 810.6s
STEP [5620], EPOCH [4/100], ITER [622/1666] 
LOSS: 0.00103026, TIME: 813.5s
STEP [5640], EPOCH [4/100], ITER [642/1666] 
LOSS: 0.00077770, TIME: 816.3s
STEP [5660], EPOCH [4/100], ITER [662/1666] 
LOSS: 0.00076303, TIME: 819.2s
STEP [5680], EPOCH [4/100], ITER [682/1666] 
LOSS: 0.00123965, TIME: 822.0s
STEP [5700], EPOCH [4/100], ITER [702/1666] 
LOSS: 0.00109802, TIME: 824.9s
STEP [5720], EPOCH [4/100], ITER [722/1666] 
LOSS: 0.00087346, TIME: 827.7s
STEP [5740], EPOCH [4/100], ITER [742/1666] 
LOSS: 0.00131092, TIME: 830.6s
STEP [5760], EPOCH [4/100], ITER [762/1666] 
LOSS: 0.00080365, TIME: 833.4s
STEP [5780], EPOCH [4/100], ITER [782/1666] 
LOSS: 0.00106190, TIME: 836.3s
STEP [5800], EPOCH [4/100], ITER [802/1666] 
LOSS: 0.00071888, TIME: 839.1s
STEP [5820], EPOCH [4/100], ITER [822/1666] 
LOSS: 0.00083725, TIME: 841.9s
STEP [5840], EPOCH [4/100], ITER [842/1666] 
LOSS: 0.00072522, TIME: 844.8s
STEP [5860], EPOCH [4/100], ITER [862/1666] 
LOSS: 0.00093116, TIME: 847.6s
STEP [5880], EPOCH [4/100], ITER [882/1666] 
LOSS: 0.00053406, TIME: 850.5s
STEP [5900], EPOCH [4/100], ITER [902/1666] 
LOSS: 0.00091386, TIME: 853.3s
STEP [5920], EPOCH [4/100], ITER [922/1666] 
LOSS: 0.00086226, TIME: 856.2s
STEP [5940], EPOCH [4/100], ITER [942/1666] 
LOSS: 0.00091094, TIME: 859.0s
STEP [5960], EPOCH [4/100], ITER [962/1666] 
LOSS: 0.00054167, TIME: 861.9s
STEP [5980], EPOCH [4/100], ITER [982/1666] 
LOSS: 0.00074967, TIME: 864.7s
STEP [6000], EPOCH [4/100], ITER [1002/1666] 
LOSS: 0.00104353, TIME: 867.6s
STEP [6020], EPOCH [4/100], ITER [1022/1666] 
LOSS: 0.00082630, TIME: 870.5s
STEP [6040], EPOCH [4/100], ITER [1042/1666] 
LOSS: 0.00125626, TIME: 873.4s
STEP [6060], EPOCH [4/100], ITER [1062/1666] 
LOSS: 0.00054451, TIME: 876.2s
STEP [6080], EPOCH [4/100], ITER [1082/1666] 
LOSS: 0.00114110, TIME: 879.1s
STEP [6100], EPOCH [4/100], ITER [1102/1666] 
LOSS: 0.00111818, TIME: 881.9s
STEP [6120], EPOCH [4/100], ITER [1122/1666] 
LOSS: 0.00085685, TIME: 884.8s
STEP [6140], EPOCH [4/100], ITER [1142/1666] 
LOSS: 0.00068533, TIME: 887.6s
STEP [6160], EPOCH [4/100], ITER [1162/1666] 
LOSS: 0.00077530, TIME: 890.5s
STEP [6180], EPOCH [4/100], ITER [1182/1666] 
LOSS: 0.00099559, TIME: 893.3s
STEP [6200], EPOCH [4/100], ITER [1202/1666] 
LOSS: 0.00076232, TIME: 896.2s
STEP [6220], EPOCH [4/100], ITER [1222/1666] 
LOSS: 0.00080156, TIME: 899.0s
STEP [6240], EPOCH [4/100], ITER [1242/1666] 
LOSS: 0.00090309, TIME: 901.9s
STEP [6260], EPOCH [4/100], ITER [1262/1666] 
LOSS: 0.00056717, TIME: 904.7s
STEP [6280], EPOCH [4/100], ITER [1282/1666] 
LOSS: 0.00067016, TIME: 907.6s
STEP [6300], EPOCH [4/100], ITER [1302/1666] 
LOSS: 0.00090745, TIME: 910.4s
STEP [6320], EPOCH [4/100], ITER [1322/1666] 
LOSS: 0.00109693, TIME: 913.2s
STEP [6340], EPOCH [4/100], ITER [1342/1666] 
LOSS: 0.00078731, TIME: 916.1s
STEP [6360], EPOCH [4/100], ITER [1362/1666] 
LOSS: 0.00085196, TIME: 918.9s
STEP [6380], EPOCH [4/100], ITER [1382/1666] 
LOSS: 0.00045521, TIME: 921.8s
STEP [6400], EPOCH [4/100], ITER [1402/1666] 
LOSS: 0.00052518, TIME: 924.6s
STEP [6420], EPOCH [4/100], ITER [1422/1666] 
LOSS: 0.00084473, TIME: 927.5s
STEP [6440], EPOCH [4/100], ITER [1442/1666] 
LOSS: 0.00114320, TIME: 930.3s
STEP [6460], EPOCH [4/100], ITER [1462/1666] 
LOSS: 0.00093785, TIME: 933.2s
STEP [6480], EPOCH [4/100], ITER [1482/1666] 
LOSS: 0.00062019, TIME: 936.0s
STEP [6500], EPOCH [4/100], ITER [1502/1666] 
LOSS: 0.00051839, TIME: 938.9s
STEP [6520], EPOCH [4/100], ITER [1522/1666] 
LOSS: 0.00053127, TIME: 941.7s
STEP [6540], EPOCH [4/100], ITER [1542/1666] 
LOSS: 0.00080655, TIME: 944.6s
STEP [6560], EPOCH [4/100], ITER [1562/1666] 
LOSS: 0.00103177, TIME: 947.4s
STEP [6580], EPOCH [4/100], ITER [1582/1666] 
LOSS: 0.00085675, TIME: 950.3s
STEP [6600], EPOCH [4/100], ITER [1602/1666] 
LOSS: 0.00074857, TIME: 953.1s
STEP [6620], EPOCH [4/100], ITER [1622/1666] 
LOSS: 0.00091021, TIME: 956.0s
STEP [6640], EPOCH [4/100], ITER [1642/1666] 
LOSS: 0.00074992, TIME: 958.8s
STEP [6660], EPOCH [4/100], ITER [1662/1666] 
LOSS: 0.00075167, TIME: 961.7s
STEP [6680], EPOCH [5/100], ITER [16/1666] 
LOSS: 0.00066813, TIME: 965.9s
STEP [6700], EPOCH [5/100], ITER [36/1666] 
LOSS: 0.00105420, TIME: 968.7s
STEP [6720], EPOCH [5/100], ITER [56/1666] 
LOSS: 0.00094638, TIME: 971.6s
STEP [6740], EPOCH [5/100], ITER [76/1666] 
LOSS: 0.00060078, TIME: 974.5s
STEP [6760], EPOCH [5/100], ITER [96/1666] 
LOSS: 0.00111095, TIME: 977.3s
STEP [6780], EPOCH [5/100], ITER [116/1666] 
LOSS: 0.00073980, TIME: 980.2s
STEP [6800], EPOCH [5/100], ITER [136/1666] 
LOSS: 0.00070408, TIME: 983.0s
STEP [6820], EPOCH [5/100], ITER [156/1666] 
LOSS: 0.00071323, TIME: 985.9s
STEP [6840], EPOCH [5/100], ITER [176/1666] 
LOSS: 0.00061284, TIME: 988.7s
STEP [6860], EPOCH [5/100], ITER [196/1666] 
LOSS: 0.00095444, TIME: 991.6s
STEP [6880], EPOCH [5/100], ITER [216/1666] 
LOSS: 0.00055210, TIME: 994.4s
STEP [6900], EPOCH [5/100], ITER [236/1666] 
LOSS: 0.00074782, TIME: 997.3s
STEP [6920], EPOCH [5/100], ITER [256/1666] 
LOSS: 0.00072267, TIME: 1000.1s
STEP [6940], EPOCH [5/100], ITER [276/1666] 
LOSS: 0.00057162, TIME: 1003.0s
STEP [6960], EPOCH [5/100], ITER [296/1666] 
LOSS: 0.00098520, TIME: 1005.8s
STEP [6980], EPOCH [5/100], ITER [316/1666] 
LOSS: 0.00081467, TIME: 1008.7s
STEP [7000], EPOCH [5/100], ITER [336/1666] 
LOSS: 0.00089648, TIME: 1011.5s
STEP [7020], EPOCH [5/100], ITER [356/1666] 
LOSS: 0.00077279, TIME: 1014.5s
STEP [7040], EPOCH [5/100], ITER [376/1666] 
LOSS: 0.00044087, TIME: 1017.3s
STEP [7060], EPOCH [5/100], ITER [396/1666] 
LOSS: 0.00085685, TIME: 1020.2s
STEP [7080], EPOCH [5/100], ITER [416/1666] 
LOSS: 0.00065489, TIME: 1023.0s
STEP [7100], EPOCH [5/100], ITER [436/1666] 
LOSS: 0.00082093, TIME: 1025.9s
STEP [7120], EPOCH [5/100], ITER [456/1666] 
LOSS: 0.00058970, TIME: 1028.7s
STEP [7140], EPOCH [5/100], ITER [476/1666] 
LOSS: 0.00072356, TIME: 1031.6s
STEP [7160], EPOCH [5/100], ITER [496/1666] 
LOSS: 0.00122873, TIME: 1034.4s
STEP [7180], EPOCH [5/100], ITER [516/1666] 
LOSS: 0.00070364, TIME: 1037.3s
STEP [7200], EPOCH [5/100], ITER [536/1666] 
LOSS: 0.00097147, TIME: 1040.1s
STEP [7220], EPOCH [5/100], ITER [556/1666] 
LOSS: 0.00094013, TIME: 1043.0s
STEP [7240], EPOCH [5/100], ITER [576/1666] 
LOSS: 0.00072395, TIME: 1045.8s
STEP [7260], EPOCH [5/100], ITER [596/1666] 
LOSS: 0.00068548, TIME: 1048.7s
STEP [7280], EPOCH [5/100], ITER [616/1666] 
LOSS: 0.00078191, TIME: 1051.5s
STEP [7300], EPOCH [5/100], ITER [636/1666] 
LOSS: 0.00097495, TIME: 1054.4s
STEP [7320], EPOCH [5/100], ITER [656/1666] 
LOSS: 0.00109587, TIME: 1057.2s
STEP [7340], EPOCH [5/100], ITER [676/1666] 
LOSS: 0.00109688, TIME: 1060.1s
STEP [7360], EPOCH [5/100], ITER [696/1666] 
LOSS: 0.00079772, TIME: 1062.9s
STEP [7380], EPOCH [5/100], ITER [716/1666] 
LOSS: 0.00047118, TIME: 1065.8s
STEP [7400], EPOCH [5/100], ITER [736/1666] 
LOSS: 0.00062438, TIME: 1068.6s
STEP [7420], EPOCH [5/100], ITER [756/1666] 
LOSS: 0.00065773, TIME: 1071.5s
STEP [7440], EPOCH [5/100], ITER [776/1666] 
LOSS: 0.00096349, TIME: 1074.3s
STEP [7460], EPOCH [5/100], ITER [796/1666] 
LOSS: 0.00109869, TIME: 1077.2s
STEP [7480], EPOCH [5/100], ITER [816/1666] 
LOSS: 0.00096560, TIME: 1080.0s
STEP [7500], EPOCH [5/100], ITER [836/1666] 
LOSS: 0.00075257, TIME: 1082.9s
STEP [7520], EPOCH [5/100], ITER [856/1666] 
LOSS: 0.00058005, TIME: 1085.7s
STEP [7540], EPOCH [5/100], ITER [876/1666] 
LOSS: 0.00087047, TIME: 1088.6s
STEP [7560], EPOCH [5/100], ITER [896/1666] 
LOSS: 0.00086077, TIME: 1091.4s
STEP [7580], EPOCH [5/100], ITER [916/1666] 
LOSS: 0.00095827, TIME: 1094.3s
STEP [7600], EPOCH [5/100], ITER [936/1666] 
LOSS: 0.00076600, TIME: 1097.1s
STEP [7620], EPOCH [5/100], ITER [956/1666] 
LOSS: 0.00066918, TIME: 1100.0s
STEP [7640], EPOCH [5/100], ITER [976/1666] 
LOSS: 0.00069659, TIME: 1102.8s
STEP [7660], EPOCH [5/100], ITER [996/1666] 
LOSS: 0.00041722, TIME: 1105.7s
STEP [7680], EPOCH [5/100], ITER [1016/1666] 
LOSS: 0.00073256, TIME: 1108.5s
STEP [7700], EPOCH [5/100], ITER [1036/1666] 
LOSS: 0.00148507, TIME: 1111.4s
STEP [7720], EPOCH [5/100], ITER [1056/1666] 
LOSS: 0.00074968, TIME: 1114.2s
STEP [7740], EPOCH [5/100], ITER [1076/1666] 
LOSS: 0.00066278, TIME: 1117.1s
STEP [7760], EPOCH [5/100], ITER [1096/1666] 
LOSS: 0.00076323, TIME: 1119.9s
STEP [7780], EPOCH [5/100], ITER [1116/1666] 
LOSS: 0.00080497, TIME: 1122.8s
STEP [7800], EPOCH [5/100], ITER [1136/1666] 
LOSS: 0.00093266, TIME: 1125.6s
STEP [7820], EPOCH [5/100], ITER [1156/1666] 
LOSS: 0.00098919, TIME: 1128.5s
STEP [7840], EPOCH [5/100], ITER [1176/1666] 
LOSS: 0.00070364, TIME: 1131.4s
STEP [7860], EPOCH [5/100], ITER [1196/1666] 
LOSS: 0.00078361, TIME: 1134.2s
STEP [7880], EPOCH [5/100], ITER [1216/1666] 
LOSS: 0.00058917, TIME: 1137.1s
STEP [7900], EPOCH [5/100], ITER [1236/1666] 
LOSS: 0.00074959, TIME: 1139.9s
STEP [7920], EPOCH [5/100], ITER [1256/1666] 
LOSS: 0.00073189, TIME: 1142.8s
STEP [7940], EPOCH [5/100], ITER [1276/1666] 
LOSS: 0.00061797, TIME: 1145.6s
STEP [7960], EPOCH [5/100], ITER [1296/1666] 
LOSS: 0.00057895, TIME: 1148.5s
STEP [7980], EPOCH [5/100], ITER [1316/1666] 
LOSS: 0.00122744, TIME: 1151.3s
STEP [8000], EPOCH [5/100], ITER [1336/1666] 
LOSS: 0.00086183, TIME: 1154.2s
STEP [8020], EPOCH [5/100], ITER [1356/1666] 
LOSS: 0.00088143, TIME: 1157.1s
STEP [8040], EPOCH [5/100], ITER [1376/1666] 
LOSS: 0.00061880, TIME: 1159.9s
STEP [8060], EPOCH [5/100], ITER [1396/1666] 
LOSS: 0.00183195, TIME: 1162.8s
STEP [8080], EPOCH [5/100], ITER [1416/1666] 
LOSS: 0.00057844, TIME: 1165.6s
STEP [8100], EPOCH [5/100], ITER [1436/1666] 
LOSS: 0.00085897, TIME: 1168.5s
STEP [8120], EPOCH [5/100], ITER [1456/1666] 
LOSS: 0.00086616, TIME: 1171.3s
STEP [8140], EPOCH [5/100], ITER [1476/1666] 
LOSS: 0.00069757, TIME: 1174.2s
STEP [8160], EPOCH [5/100], ITER [1496/1666] 
LOSS: 0.00104889, TIME: 1177.0s
STEP [8180], EPOCH [5/100], ITER [1516/1666] 
LOSS: 0.00059662, TIME: 1179.9s
STEP [8200], EPOCH [5/100], ITER [1536/1666] 
LOSS: 0.00048247, TIME: 1182.7s
STEP [8220], EPOCH [5/100], ITER [1556/1666] 
LOSS: 0.00088468, TIME: 1185.6s
STEP [8240], EPOCH [5/100], ITER [1576/1666] 
LOSS: 0.00073923, TIME: 1188.4s
STEP [8260], EPOCH [5/100], ITER [1596/1666] 
LOSS: 0.00079785, TIME: 1191.3s
STEP [8280], EPOCH [5/100], ITER [1616/1666] 
LOSS: 0.00131090, TIME: 1194.1s
STEP [8300], EPOCH [5/100], ITER [1636/1666] 
LOSS: 0.00078145, TIME: 1197.0s
STEP [8320], EPOCH [5/100], ITER [1656/1666] 
LOSS: 0.00059797, TIME: 1199.8s
STEP [8340], EPOCH [6/100], ITER [10/1666] 
LOSS: 0.00058062, TIME: 1204.1s
STEP [8360], EPOCH [6/100], ITER [30/1666] 
LOSS: 0.00075479, TIME: 1207.0s
STEP [8380], EPOCH [6/100], ITER [50/1666] 
LOSS: 0.00070086, TIME: 1209.8s
STEP [8400], EPOCH [6/100], ITER [70/1666] 
LOSS: 0.00083684, TIME: 1212.7s
STEP [8420], EPOCH [6/100], ITER [90/1666] 
LOSS: 0.00080560, TIME: 1215.5s
STEP [8440], EPOCH [6/100], ITER [110/1666] 
LOSS: 0.00080139, TIME: 1218.4s
STEP [8460], EPOCH [6/100], ITER [130/1666] 
LOSS: 0.00113335, TIME: 1221.3s
STEP [8480], EPOCH [6/100], ITER [150/1666] 
LOSS: 0.00090817, TIME: 1224.1s
STEP [8500], EPOCH [6/100], ITER [170/1666] 
LOSS: 0.00072766, TIME: 1227.0s
STEP [8520], EPOCH [6/100], ITER [190/1666] 
LOSS: 0.00103491, TIME: 1229.8s
STEP [8540], EPOCH [6/100], ITER [210/1666] 
LOSS: 0.00153837, TIME: 1232.7s
STEP [8560], EPOCH [6/100], ITER [230/1666] 
LOSS: 0.00058241, TIME: 1235.5s
STEP [8580], EPOCH [6/100], ITER [250/1666] 
LOSS: 0.00077134, TIME: 1238.4s
STEP [8600], EPOCH [6/100], ITER [270/1666] 
LOSS: 0.00114269, TIME: 1241.2s
STEP [8620], EPOCH [6/100], ITER [290/1666] 
LOSS: 0.00078882, TIME: 1244.1s
STEP [8640], EPOCH [6/100], ITER [310/1666] 
LOSS: 0.00099720, TIME: 1246.9s
STEP [8660], EPOCH [6/100], ITER [330/1666] 
LOSS: 0.00109529, TIME: 1249.8s
STEP [8680], EPOCH [6/100], ITER [350/1666] 
LOSS: 0.00067318, TIME: 1252.6s
STEP [8700], EPOCH [6/100], ITER [370/1666] 
LOSS: 0.00086530, TIME: 1255.5s
STEP [8720], EPOCH [6/100], ITER [390/1666] 
LOSS: 0.00074727, TIME: 1258.3s
STEP [8740], EPOCH [6/100], ITER [410/1666] 
LOSS: 0.00069318, TIME: 1261.2s
STEP [8760], EPOCH [6/100], ITER [430/1666] 
LOSS: 0.00084952, TIME: 1264.0s
STEP [8780], EPOCH [6/100], ITER [450/1666] 
LOSS: 0.00084723, TIME: 1266.9s
STEP [8800], EPOCH [6/100], ITER [470/1666] 
LOSS: 0.00054972, TIME: 1269.7s
STEP [8820], EPOCH [6/100], ITER [490/1666] 
LOSS: 0.00058515, TIME: 1272.6s
STEP [8840], EPOCH [6/100], ITER [510/1666] 
LOSS: 0.00042957, TIME: 1275.4s
STEP [8860], EPOCH [6/100], ITER [530/1666] 
LOSS: 0.00081950, TIME: 1278.3s
STEP [8880], EPOCH [6/100], ITER [550/1666] 
LOSS: 0.00158369, TIME: 1281.1s
STEP [8900], EPOCH [6/100], ITER [570/1666] 
LOSS: 0.00079011, TIME: 1284.0s
STEP [8920], EPOCH [6/100], ITER [590/1666] 
LOSS: 0.00128797, TIME: 1286.8s
STEP [8940], EPOCH [6/100], ITER [610/1666] 
LOSS: 0.00095381, TIME: 1289.7s
STEP [8960], EPOCH [6/100], ITER [630/1666] 
LOSS: 0.00083329, TIME: 1292.5s
STEP [8980], EPOCH [6/100], ITER [650/1666] 
LOSS: 0.00074688, TIME: 1295.4s
STEP [9000], EPOCH [6/100], ITER [670/1666] 
LOSS: 0.00076622, TIME: 1298.3s
STEP [9020], EPOCH [6/100], ITER [690/1666] 
LOSS: 0.00080204, TIME: 1301.2s
STEP [9040], EPOCH [6/100], ITER [710/1666] 
LOSS: 0.00064871, TIME: 1304.0s
STEP [9060], EPOCH [6/100], ITER [730/1666] 
LOSS: 0.00053276, TIME: 1306.9s
STEP [9080], EPOCH [6/100], ITER [750/1666] 
LOSS: 0.00096119, TIME: 1309.7s
STEP [9100], EPOCH [6/100], ITER [770/1666] 
LOSS: 0.00064197, TIME: 1312.6s
STEP [9120], EPOCH [6/100], ITER [790/1666] 
LOSS: 0.00074458, TIME: 1315.4s
STEP [9140], EPOCH [6/100], ITER [810/1666] 
LOSS: 0.00070924, TIME: 1318.3s
STEP [9160], EPOCH [6/100], ITER [830/1666] 
LOSS: 0.00096994, TIME: 1321.1s
STEP [9180], EPOCH [6/100], ITER [850/1666] 
LOSS: 0.00122734, TIME: 1324.0s
STEP [9200], EPOCH [6/100], ITER [870/1666] 
LOSS: 0.00079638, TIME: 1326.9s
STEP [9220], EPOCH [6/100], ITER [890/1666] 
LOSS: 0.00067725, TIME: 1329.7s
STEP [9240], EPOCH [6/100], ITER [910/1666] 
LOSS: 0.00089070, TIME: 1332.6s
STEP [9260], EPOCH [6/100], ITER [930/1666] 
LOSS: 0.00086223, TIME: 1335.4s
STEP [9280], EPOCH [6/100], ITER [950/1666] 
LOSS: 0.00070324, TIME: 1338.3s
STEP [9300], EPOCH [6/100], ITER [970/1666] 
LOSS: 0.00103517, TIME: 1341.1s
STEP [9320], EPOCH [6/100], ITER [990/1666] 
LOSS: 0.00082977, TIME: 1344.0s
STEP [9340], EPOCH [6/100], ITER [1010/1666] 
LOSS: 0.00097807, TIME: 1346.8s
STEP [9360], EPOCH [6/100], ITER [1030/1666] 
LOSS: 0.00076736, TIME: 1349.7s
STEP [9380], EPOCH [6/100], ITER [1050/1666] 
LOSS: 0.00065965, TIME: 1352.5s
STEP [9400], EPOCH [6/100], ITER [1070/1666] 
LOSS: 0.00068465, TIME: 1355.4s
STEP [9420], EPOCH [6/100], ITER [1090/1666] 
LOSS: 0.00066861, TIME: 1358.2s
STEP [9440], EPOCH [6/100], ITER [1110/1666] 
LOSS: 0.00044743, TIME: 1361.1s
STEP [9460], EPOCH [6/100], ITER [1130/1666] 
LOSS: 0.00066522, TIME: 1363.9s
STEP [9480], EPOCH [6/100], ITER [1150/1666] 
LOSS: 0.00067251, TIME: 1366.8s
STEP [9500], EPOCH [6/100], ITER [1170/1666] 
LOSS: 0.00054716, TIME: 1369.6s
STEP [9520], EPOCH [6/100], ITER [1190/1666] 
LOSS: 0.00059364, TIME: 1372.5s
STEP [9540], EPOCH [6/100], ITER [1210/1666] 
LOSS: 0.00085321, TIME: 1375.3s
STEP [9560], EPOCH [6/100], ITER [1230/1666] 
LOSS: 0.00071796, TIME: 1378.2s
STEP [9580], EPOCH [6/100], ITER [1250/1666] 
LOSS: 0.00099483, TIME: 1381.0s
STEP [9600], EPOCH [6/100], ITER [1270/1666] 
LOSS: 0.00050236, TIME: 1383.9s
STEP [9620], EPOCH [6/100], ITER [1290/1666] 
LOSS: 0.00042229, TIME: 1386.8s
STEP [9640], EPOCH [6/100], ITER [1310/1666] 
LOSS: 0.00080761, TIME: 1389.6s
STEP [9660], EPOCH [6/100], ITER [1330/1666] 
LOSS: 0.00076032, TIME: 1392.5s
STEP [9680], EPOCH [6/100], ITER [1350/1666] 
LOSS: 0.00084085, TIME: 1395.3s
STEP [9700], EPOCH [6/100], ITER [1370/1666] 
LOSS: 0.00077341, TIME: 1398.2s
STEP [9720], EPOCH [6/100], ITER [1390/1666] 
LOSS: 0.00062823, TIME: 1401.0s
STEP [9740], EPOCH [6/100], ITER [1410/1666] 
LOSS: 0.00065039, TIME: 1403.9s
STEP [9760], EPOCH [6/100], ITER [1430/1666] 
LOSS: 0.00079895, TIME: 1406.7s
STEP [9780], EPOCH [6/100], ITER [1450/1666] 
LOSS: 0.00062755, TIME: 1409.6s
STEP [9800], EPOCH [6/100], ITER [1470/1666] 
LOSS: 0.00066863, TIME: 1412.4s
STEP [9820], EPOCH [6/100], ITER [1490/1666] 
LOSS: 0.00067742, TIME: 1415.3s
STEP [9840], EPOCH [6/100], ITER [1510/1666] 
LOSS: 0.00088437, TIME: 1418.1s
STEP [9860], EPOCH [6/100], ITER [1530/1666] 
LOSS: 0.00079650, TIME: 1421.0s
STEP [9880], EPOCH [6/100], ITER [1550/1666] 
LOSS: 0.00083563, TIME: 1423.8s
STEP [9900], EPOCH [6/100], ITER [1570/1666] 
LOSS: 0.00131928, TIME: 1426.7s
STEP [9920], EPOCH [6/100], ITER [1590/1666] 
LOSS: 0.00036390, TIME: 1429.5s
STEP [9940], EPOCH [6/100], ITER [1610/1666] 
LOSS: 0.00076065, TIME: 1432.4s
STEP [9960], EPOCH [6/100], ITER [1630/1666] 
LOSS: 0.00062583, TIME: 1435.2s
STEP [9980], EPOCH [6/100], ITER [1650/1666] 
LOSS: 0.00072463, TIME: 1438.1s
STEP [10000], EPOCH [7/100], ITER [4/1666] 
LOSS: 0.00128649, TIME: 1442.6s
STEP [10020], EPOCH [7/100], ITER [24/1666] 
LOSS: 0.00114428, TIME: 1445.5s
STEP [10040], EPOCH [7/100], ITER [44/1666] 
LOSS: 0.00053702, TIME: 1448.3s
STEP [10060], EPOCH [7/100], ITER [64/1666] 
LOSS: 0.00068700, TIME: 1451.2s
STEP [10080], EPOCH [7/100], ITER [84/1666] 
LOSS: 0.00065618, TIME: 1454.0s
STEP [10100], EPOCH [7/100], ITER [104/1666] 
LOSS: 0.00042064, TIME: 1456.9s
STEP [10120], EPOCH [7/100], ITER [124/1666] 
LOSS: 0.00068303, TIME: 1459.7s
STEP [10140], EPOCH [7/100], ITER [144/1666] 
LOSS: 0.00065451, TIME: 1462.6s
STEP [10160], EPOCH [7/100], ITER [164/1666] 
LOSS: 0.00058048, TIME: 1465.5s
STEP [10180], EPOCH [7/100], ITER [184/1666] 
LOSS: 0.00074029, TIME: 1468.3s
STEP [10200], EPOCH [7/100], ITER [204/1666] 
LOSS: 0.00091794, TIME: 1471.2s
STEP [10220], EPOCH [7/100], ITER [224/1666] 
LOSS: 0.00063209, TIME: 1474.0s
STEP [10240], EPOCH [7/100], ITER [244/1666] 
LOSS: 0.00051850, TIME: 1476.9s
STEP [10260], EPOCH [7/100], ITER [264/1666] 
LOSS: 0.00130310, TIME: 1479.7s
STEP [10280], EPOCH [7/100], ITER [284/1666] 
LOSS: 0.00082355, TIME: 1482.6s
STEP [10300], EPOCH [7/100], ITER [304/1666] 
LOSS: 0.00078920, TIME: 1485.4s
STEP [10320], EPOCH [7/100], ITER [324/1666] 
LOSS: 0.00090123, TIME: 1488.3s
STEP [10340], EPOCH [7/100], ITER [344/1666] 
LOSS: 0.00060547, TIME: 1491.1s
STEP [10360], EPOCH [7/100], ITER [364/1666] 
LOSS: 0.00051350, TIME: 1494.0s
STEP [10380], EPOCH [7/100], ITER [384/1666] 
LOSS: 0.00084555, TIME: 1496.8s
STEP [10400], EPOCH [7/100], ITER [404/1666] 
LOSS: 0.00070934, TIME: 1499.7s
STEP [10420], EPOCH [7/100], ITER [424/1666] 
LOSS: 0.00101054, TIME: 1502.5s
STEP [10440], EPOCH [7/100], ITER [444/1666] 
LOSS: 0.00108051, TIME: 1505.4s
STEP [10460], EPOCH [7/100], ITER [464/1666] 
LOSS: 0.00089091, TIME: 1508.2s
STEP [10480], EPOCH [7/100], ITER [484/1666] 
LOSS: 0.00046790, TIME: 1511.1s
STEP [10500], EPOCH [7/100], ITER [504/1666] 
LOSS: 0.00092862, TIME: 1514.0s
STEP [10520], EPOCH [7/100], ITER [524/1666] 
LOSS: 0.00061245, TIME: 1516.8s
STEP [10540], EPOCH [7/100], ITER [544/1666] 
LOSS: 0.00067472, TIME: 1519.7s
STEP [10560], EPOCH [7/100], ITER [564/1666] 
LOSS: 0.00077791, TIME: 1522.5s
STEP [10580], EPOCH [7/100], ITER [584/1666] 
LOSS: 0.00074524, TIME: 1525.4s
STEP [10600], EPOCH [7/100], ITER [604/1666] 
LOSS: 0.00211103, TIME: 1528.2s
STEP [10620], EPOCH [7/100], ITER [624/1666] 
LOSS: 0.00071597, TIME: 1531.1s
STEP [10640], EPOCH [7/100], ITER [644/1666] 
LOSS: 0.00066480, TIME: 1533.9s
STEP [10660], EPOCH [7/100], ITER [664/1666] 
LOSS: 0.00077583, TIME: 1536.8s
STEP [10680], EPOCH [7/100], ITER [684/1666] 
LOSS: 0.00072148, TIME: 1539.6s
STEP [10700], EPOCH [7/100], ITER [704/1666] 
LOSS: 0.00092716, TIME: 1542.5s
STEP [10720], EPOCH [7/100], ITER [724/1666] 
LOSS: 0.00071837, TIME: 1545.3s
STEP [10740], EPOCH [7/100], ITER [744/1666] 
LOSS: 0.00056744, TIME: 1548.2s
STEP [10760], EPOCH [7/100], ITER [764/1666] 
LOSS: 0.00092206, TIME: 1551.0s
STEP [10780], EPOCH [7/100], ITER [784/1666] 
LOSS: 0.00067497, TIME: 1553.9s
STEP [10800], EPOCH [7/100], ITER [804/1666] 
LOSS: 0.00080096, TIME: 1556.8s
STEP [10820], EPOCH [7/100], ITER [824/1666] 
LOSS: 0.00087457, TIME: 1559.6s
STEP [10840], EPOCH [7/100], ITER [844/1666] 
LOSS: 0.00051819, TIME: 1562.5s
STEP [10860], EPOCH [7/100], ITER [864/1666] 
LOSS: 0.00062449, TIME: 1565.3s
STEP [10880], EPOCH [7/100], ITER [884/1666] 
LOSS: 0.00047360, TIME: 1568.2s
STEP [10900], EPOCH [7/100], ITER [904/1666] 
LOSS: 0.00065883, TIME: 1571.0s
STEP [10920], EPOCH [7/100], ITER [924/1666] 
LOSS: 0.00039351, TIME: 1573.9s
STEP [10940], EPOCH [7/100], ITER [944/1666] 
LOSS: 0.00131680, TIME: 1576.7s
STEP [10960], EPOCH [7/100], ITER [964/1666] 
LOSS: 0.00051437, TIME: 1579.6s
STEP [10980], EPOCH [7/100], ITER [984/1666] 
LOSS: 0.00083600, TIME: 1582.4s
STEP [11000], EPOCH [7/100], ITER [1004/1666] 
LOSS: 0.00068897, TIME: 1585.3s
STEP [11020], EPOCH [7/100], ITER [1024/1666] 
LOSS: 0.00093803, TIME: 1588.2s
STEP [11040], EPOCH [7/100], ITER [1044/1666] 
LOSS: 0.00074353, TIME: 1591.1s
STEP [11060], EPOCH [7/100], ITER [1064/1666] 
LOSS: 0.00108639, TIME: 1593.9s
STEP [11080], EPOCH [7/100], ITER [1084/1666] 
LOSS: 0.00086469, TIME: 1596.8s
STEP [11100], EPOCH [7/100], ITER [1104/1666] 
LOSS: 0.00089783, TIME: 1599.6s
STEP [11120], EPOCH [7/100], ITER [1124/1666] 
LOSS: 0.00064899, TIME: 1602.5s
STEP [11140], EPOCH [7/100], ITER [1144/1666] 
LOSS: 0.00116148, TIME: 1605.3s
STEP [11160], EPOCH [7/100], ITER [1164/1666] 
LOSS: 0.00082579, TIME: 1608.2s
STEP [11180], EPOCH [7/100], ITER [1184/1666] 
LOSS: 0.00056547, TIME: 1611.0s
STEP [11200], EPOCH [7/100], ITER [1204/1666] 
LOSS: 0.00100900, TIME: 1613.9s
STEP [11220], EPOCH [7/100], ITER [1224/1666] 
LOSS: 0.00065363, TIME: 1616.7s
STEP [11240], EPOCH [7/100], ITER [1244/1666] 
LOSS: 0.00077434, TIME: 1619.6s
STEP [11260], EPOCH [7/100], ITER [1264/1666] 
LOSS: 0.00085439, TIME: 1622.4s
STEP [11280], EPOCH [7/100], ITER [1284/1666] 
LOSS: 0.00096293, TIME: 1625.3s
STEP [11300], EPOCH [7/100], ITER [1304/1666] 
LOSS: 0.00081446, TIME: 1628.2s
STEP [11320], EPOCH [7/100], ITER [1324/1666] 
LOSS: 0.00085445, TIME: 1631.0s
STEP [11340], EPOCH [7/100], ITER [1344/1666] 
LOSS: 0.00056796, TIME: 1633.9s
STEP [11360], EPOCH [7/100], ITER [1364/1666] 
LOSS: 0.00084367, TIME: 1636.7s
STEP [11380], EPOCH [7/100], ITER [1384/1666] 
LOSS: 0.00057369, TIME: 1639.6s
STEP [11400], EPOCH [7/100], ITER [1404/1666] 
LOSS: 0.00051535, TIME: 1642.4s
STEP [11420], EPOCH [7/100], ITER [1424/1666] 
LOSS: 0.00070688, TIME: 1645.3s
STEP [11440], EPOCH [7/100], ITER [1444/1666] 
LOSS: 0.00039696, TIME: 1648.1s
STEP [11460], EPOCH [7/100], ITER [1464/1666] 
LOSS: 0.00066832, TIME: 1651.0s
STEP [11480], EPOCH [7/100], ITER [1484/1666] 
LOSS: 0.00081826, TIME: 1653.8s
STEP [11500], EPOCH [7/100], ITER [1504/1666] 
LOSS: 0.00062142, TIME: 1656.7s
STEP [11520], EPOCH [7/100], ITER [1524/1666] 
LOSS: 0.00055294, TIME: 1659.6s
STEP [11540], EPOCH [7/100], ITER [1544/1666] 
LOSS: 0.00085303, TIME: 1662.4s
STEP [11560], EPOCH [7/100], ITER [1564/1666] 
LOSS: 0.00078622, TIME: 1665.3s
STEP [11580], EPOCH [7/100], ITER [1584/1666] 
LOSS: 0.00055592, TIME: 1668.1s
STEP [11600], EPOCH [7/100], ITER [1604/1666] 
LOSS: 0.00058232, TIME: 1671.0s
STEP [11620], EPOCH [7/100], ITER [1624/1666] 
LOSS: 0.00070988, TIME: 1673.8s
STEP [11640], EPOCH [7/100], ITER [1644/1666] 
LOSS: 0.00067827, TIME: 1676.7s
STEP [11660], EPOCH [7/100], ITER [1664/1666] 
LOSS: 0.00092283, TIME: 1679.5s
STEP [11680], EPOCH [8/100], ITER [18/1666] 
LOSS: 0.00075777, TIME: 1683.9s
STEP [11700], EPOCH [8/100], ITER [38/1666] 
LOSS: 0.00101363, TIME: 1686.8s
STEP [11720], EPOCH [8/100], ITER [58/1666] 
LOSS: 0.00061998, TIME: 1689.6s
STEP [11740], EPOCH [8/100], ITER [78/1666] 
LOSS: 0.00118980, TIME: 1692.5s
STEP [11760], EPOCH [8/100], ITER [98/1666] 
LOSS: 0.00082075, TIME: 1695.3s
STEP [11780], EPOCH [8/100], ITER [118/1666] 
LOSS: 0.00089132, TIME: 1698.2s
STEP [11800], EPOCH [8/100], ITER [138/1666] 
LOSS: 0.00074482, TIME: 1701.0s
STEP [11820], EPOCH [8/100], ITER [158/1666] 
LOSS: 0.00128623, TIME: 1703.9s
STEP [11840], EPOCH [8/100], ITER [178/1666] 
LOSS: 0.00063085, TIME: 1706.7s
STEP [11860], EPOCH [8/100], ITER [198/1666] 
LOSS: 0.00069004, TIME: 1709.6s
STEP [11880], EPOCH [8/100], ITER [218/1666] 
LOSS: 0.00068485, TIME: 1712.4s
STEP [11900], EPOCH [8/100], ITER [238/1666] 
LOSS: 0.00095941, TIME: 1715.3s
STEP [11920], EPOCH [8/100], ITER [258/1666] 
LOSS: 0.00111964, TIME: 1718.2s
STEP [11940], EPOCH [8/100], ITER [278/1666] 
LOSS: 0.00061577, TIME: 1721.0s
STEP [11960], EPOCH [8/100], ITER [298/1666] 
LOSS: 0.00083987, TIME: 1723.9s
STEP [11980], EPOCH [8/100], ITER [318/1666] 
LOSS: 0.00087851, TIME: 1726.7s
STEP [12000], EPOCH [8/100], ITER [338/1666] 
LOSS: 0.00114805, TIME: 1729.6s
STEP [12020], EPOCH [8/100], ITER [358/1666] 
LOSS: 0.00079255, TIME: 1732.5s
STEP [12040], EPOCH [8/100], ITER [378/1666] 
LOSS: 0.00079914, TIME: 1735.4s
STEP [12060], EPOCH [8/100], ITER [398/1666] 
LOSS: 0.00102826, TIME: 1738.2s
STEP [12080], EPOCH [8/100], ITER [418/1666] 
LOSS: 0.00071028, TIME: 1741.1s
STEP [12100], EPOCH [8/100], ITER [438/1666] 
LOSS: 0.00052647, TIME: 1743.9s
STEP [12120], EPOCH [8/100], ITER [458/1666] 
LOSS: 0.00074242, TIME: 1746.8s
STEP [12140], EPOCH [8/100], ITER [478/1666] 
LOSS: 0.00090497, TIME: 1749.6s
STEP [12160], EPOCH [8/100], ITER [498/1666] 
LOSS: 0.00082153, TIME: 1752.5s
STEP [12180], EPOCH [8/100], ITER [518/1666] 
LOSS: 0.00074222, TIME: 1755.3s
STEP [12200], EPOCH [8/100], ITER [538/1666] 
LOSS: 0.00070132, TIME: 1758.2s
STEP [12220], EPOCH [8/100], ITER [558/1666] 
LOSS: 0.00056645, TIME: 1761.0s
STEP [12240], EPOCH [8/100], ITER [578/1666] 
LOSS: 0.00081111, TIME: 1763.9s
STEP [12260], EPOCH [8/100], ITER [598/1666] 
LOSS: 0.00066300, TIME: 1766.8s
STEP [12280], EPOCH [8/100], ITER [618/1666] 
LOSS: 0.00066687, TIME: 1769.6s
STEP [12300], EPOCH [8/100], ITER [638/1666] 
LOSS: 0.00086516, TIME: 1772.5s
STEP [12320], EPOCH [8/100], ITER [658/1666] 
LOSS: 0.00066226, TIME: 1775.3s
STEP [12340], EPOCH [8/100], ITER [678/1666] 
LOSS: 0.00067063, TIME: 1778.2s
STEP [12360], EPOCH [8/100], ITER [698/1666] 
LOSS: 0.00060952, TIME: 1781.0s
STEP [12380], EPOCH [8/100], ITER [718/1666] 
LOSS: 0.00045769, TIME: 1783.9s
STEP [12400], EPOCH [8/100], ITER [738/1666] 
LOSS: 0.00112855, TIME: 1786.7s
STEP [12420], EPOCH [8/100], ITER [758/1666] 
LOSS: 0.00074746, TIME: 1789.6s
STEP [12440], EPOCH [8/100], ITER [778/1666] 
LOSS: 0.00078741, TIME: 1792.4s
STEP [12460], EPOCH [8/100], ITER [798/1666] 
LOSS: 0.00043997, TIME: 1795.3s
STEP [12480], EPOCH [8/100], ITER [818/1666] 
LOSS: 0.00097205, TIME: 1798.1s
STEP [12500], EPOCH [8/100], ITER [838/1666] 
LOSS: 0.00083880, TIME: 1801.0s
STEP [12520], EPOCH [8/100], ITER [858/1666] 
LOSS: 0.00063872, TIME: 1803.9s
STEP [12540], EPOCH [8/100], ITER [878/1666] 
LOSS: 0.00038956, TIME: 1806.7s
STEP [12560], EPOCH [8/100], ITER [898/1666] 
LOSS: 0.00101701, TIME: 1809.6s
STEP [12580], EPOCH [8/100], ITER [918/1666] 
LOSS: 0.00071291, TIME: 1812.4s
STEP [12600], EPOCH [8/100], ITER [938/1666] 
LOSS: 0.00081046, TIME: 1815.3s
STEP [12620], EPOCH [8/100], ITER [958/1666] 
LOSS: 0.00061986, TIME: 1818.1s
STEP [12640], EPOCH [8/100], ITER [978/1666] 
LOSS: 0.00068876, TIME: 1821.0s
STEP [12660], EPOCH [8/100], ITER [998/1666] 
LOSS: 0.00046287, TIME: 1823.8s
STEP [12680], EPOCH [8/100], ITER [1018/1666] 
LOSS: 0.00061633, TIME: 1826.7s
STEP [12700], EPOCH [8/100], ITER [1038/1666] 
LOSS: 0.00103085, TIME: 1829.5s
STEP [12720], EPOCH [8/100], ITER [1058/1666] 
LOSS: 0.00079239, TIME: 1832.4s
STEP [12740], EPOCH [8/100], ITER [1078/1666] 
LOSS: 0.00057157, TIME: 1835.2s
STEP [12760], EPOCH [8/100], ITER [1098/1666] 
LOSS: 0.00119479, TIME: 1838.1s
STEP [12780], EPOCH [8/100], ITER [1118/1666] 
LOSS: 0.00105310, TIME: 1840.9s
STEP [12800], EPOCH [8/100], ITER [1138/1666] 
LOSS: 0.00056154, TIME: 1843.8s
STEP [12820], EPOCH [8/100], ITER [1158/1666] 
LOSS: 0.00115795, TIME: 1846.7s
STEP [12840], EPOCH [8/100], ITER [1178/1666] 
LOSS: 0.00092391, TIME: 1849.5s
STEP [12860], EPOCH [8/100], ITER [1198/1666] 
LOSS: 0.00097760, TIME: 1852.4s
STEP [12880], EPOCH [8/100], ITER [1218/1666] 
LOSS: 0.00073147, TIME: 1855.2s
STEP [12900], EPOCH [8/100], ITER [1238/1666] 
LOSS: 0.00075133, TIME: 1858.1s
STEP [12920], EPOCH [8/100], ITER [1258/1666] 
LOSS: 0.00074381, TIME: 1860.9s
STEP [12940], EPOCH [8/100], ITER [1278/1666] 
LOSS: 0.00061207, TIME: 1863.8s
STEP [12960], EPOCH [8/100], ITER [1298/1666] 
LOSS: 0.00060821, TIME: 1866.6s
STEP [12980], EPOCH [8/100], ITER [1318/1666] 
LOSS: 0.00065991, TIME: 1869.5s
STEP [13000], EPOCH [8/100], ITER [1338/1666] 
LOSS: 0.00063384, TIME: 1872.3s
STEP [13020], EPOCH [8/100], ITER [1358/1666] 
LOSS: 0.00159933, TIME: 1875.3s
STEP [13040], EPOCH [8/100], ITER [1378/1666] 
LOSS: 0.00064809, TIME: 1878.1s
STEP [13060], EPOCH [8/100], ITER [1398/1666] 
LOSS: 0.00071204, TIME: 1881.0s
STEP [13080], EPOCH [8/100], ITER [1418/1666] 
LOSS: 0.00097776, TIME: 1883.8s
STEP [13100], EPOCH [8/100], ITER [1438/1666] 
LOSS: 0.00066844, TIME: 1886.7s
STEP [13120], EPOCH [8/100], ITER [1458/1666] 
LOSS: 0.00045104, TIME: 1889.5s
STEP [13140], EPOCH [8/100], ITER [1478/1666] 
LOSS: 0.00067100, TIME: 1892.4s
STEP [13160], EPOCH [8/100], ITER [1498/1666] 
LOSS: 0.00056361, TIME: 1895.2s
STEP [13180], EPOCH [8/100], ITER [1518/1666] 
LOSS: 0.00079737, TIME: 1898.1s
STEP [13200], EPOCH [8/100], ITER [1538/1666] 
LOSS: 0.00089312, TIME: 1900.9s
STEP [13220], EPOCH [8/100], ITER [1558/1666] 
LOSS: 0.00066392, TIME: 1903.8s
STEP [13240], EPOCH [8/100], ITER [1578/1666] 
LOSS: 0.00060796, TIME: 1906.7s
STEP [13260], EPOCH [8/100], ITER [1598/1666] 
LOSS: 0.00118224, TIME: 1909.5s
STEP [13280], EPOCH [8/100], ITER [1618/1666] 
LOSS: 0.00060457, TIME: 1912.4s
STEP [13300], EPOCH [8/100], ITER [1638/1666] 
LOSS: 0.00070674, TIME: 1915.2s
STEP [13320], EPOCH [8/100], ITER [1658/1666] 
LOSS: 0.00058781, TIME: 1918.1s
STEP [13340], EPOCH [9/100], ITER [12/1666] 
LOSS: 0.00072418, TIME: 1922.4s
STEP [13360], EPOCH [9/100], ITER [32/1666] 
LOSS: 0.00070198, TIME: 1925.2s
STEP [13380], EPOCH [9/100], ITER [52/1666] 
LOSS: 0.00089262, TIME: 1928.1s
STEP [13400], EPOCH [9/100], ITER [72/1666] 
LOSS: 0.00061160, TIME: 1930.9s
STEP [13420], EPOCH [9/100], ITER [92/1666] 
LOSS: 0.00053172, TIME: 1933.8s
STEP [13440], EPOCH [9/100], ITER [112/1666] 
LOSS: 0.00088830, TIME: 1936.6s
STEP [13460], EPOCH [9/100], ITER [132/1666] 
LOSS: 0.00065199, TIME: 1939.5s
STEP [13480], EPOCH [9/100], ITER [152/1666] 
LOSS: 0.00071295, TIME: 1942.3s
STEP [13500], EPOCH [9/100], ITER [172/1666] 
LOSS: 0.00061675, TIME: 1945.2s
STEP [13520], EPOCH [9/100], ITER [192/1666] 
LOSS: 0.00057803, TIME: 1948.1s
STEP [13540], EPOCH [9/100], ITER [212/1666] 
LOSS: 0.00035764, TIME: 1950.9s
STEP [13560], EPOCH [9/100], ITER [232/1666] 
LOSS: 0.00053717, TIME: 1953.8s
STEP [13580], EPOCH [9/100], ITER [252/1666] 
LOSS: 0.00042972, TIME: 1956.6s
STEP [13600], EPOCH [9/100], ITER [272/1666] 
LOSS: 0.00054722, TIME: 1959.5s
STEP [13620], EPOCH [9/100], ITER [292/1666] 
LOSS: 0.00098823, TIME: 1962.3s
STEP [13640], EPOCH [9/100], ITER [312/1666] 
LOSS: 0.00060240, TIME: 1965.2s
STEP [13660], EPOCH [9/100], ITER [332/1666] 
LOSS: 0.00058162, TIME: 1968.0s
STEP [13680], EPOCH [9/100], ITER [352/1666] 
LOSS: 0.00142809, TIME: 1970.9s
STEP [13700], EPOCH [9/100], ITER [372/1666] 
LOSS: 0.00080589, TIME: 1973.7s
STEP [13720], EPOCH [9/100], ITER [392/1666] 
LOSS: 0.00076156, TIME: 1976.6s
STEP [13740], EPOCH [9/100], ITER [412/1666] 
LOSS: 0.00040084, TIME: 1979.4s
STEP [13760], EPOCH [9/100], ITER [432/1666] 
LOSS: 0.00068635, TIME: 1982.3s
STEP [13780], EPOCH [9/100], ITER [452/1666] 
LOSS: 0.00190792, TIME: 1985.1s
STEP [13800], EPOCH [9/100], ITER [472/1666] 
LOSS: 0.00063972, TIME: 1988.0s
STEP [13820], EPOCH [9/100], ITER [492/1666] 
LOSS: 0.00076014, TIME: 1990.9s
STEP [13840], EPOCH [9/100], ITER [512/1666] 
LOSS: 0.00092577, TIME: 1993.7s
STEP [13860], EPOCH [9/100], ITER [532/1666] 
LOSS: 0.00057283, TIME: 1996.6s
STEP [13880], EPOCH [9/100], ITER [552/1666] 
LOSS: 0.00064195, TIME: 1999.4s
STEP [13900], EPOCH [9/100], ITER [572/1666] 
LOSS: 0.00076463, TIME: 2002.3s
STEP [13920], EPOCH [9/100], ITER [592/1666] 
LOSS: 0.00087077, TIME: 2005.1s
STEP [13940], EPOCH [9/100], ITER [612/1666] 
LOSS: 0.00077564, TIME: 2008.0s
STEP [13960], EPOCH [9/100], ITER [632/1666] 
LOSS: 0.00082890, TIME: 2010.8s
STEP [13980], EPOCH [9/100], ITER [652/1666] 
LOSS: 0.00041416, TIME: 2013.7s
STEP [14000], EPOCH [9/100], ITER [672/1666] 
LOSS: 0.00091978, TIME: 2016.5s
STEP [14020], EPOCH [9/100], ITER [692/1666] 
LOSS: 0.00055901, TIME: 2019.5s
STEP [14040], EPOCH [9/100], ITER [712/1666] 
LOSS: 0.00070161, TIME: 2022.3s
STEP [14060], EPOCH [9/100], ITER [732/1666] 
LOSS: 0.00061952, TIME: 2025.2s
STEP [14080], EPOCH [9/100], ITER [752/1666] 
LOSS: 0.00052490, TIME: 2028.0s
STEP [14100], EPOCH [9/100], ITER [772/1666] 
LOSS: 0.00063471, TIME: 2030.9s
STEP [14120], EPOCH [9/100], ITER [792/1666] 
LOSS: 0.00089136, TIME: 2033.7s
STEP [14140], EPOCH [9/100], ITER [812/1666] 
LOSS: 0.00072287, TIME: 2036.6s
STEP [14160], EPOCH [9/100], ITER [832/1666] 
LOSS: 0.00122446, TIME: 2039.5s
STEP [14180], EPOCH [9/100], ITER [852/1666] 
LOSS: 0.00072978, TIME: 2042.3s
STEP [14200], EPOCH [9/100], ITER [872/1666] 
LOSS: 0.00122548, TIME: 2045.2s
STEP [14220], EPOCH [9/100], ITER [892/1666] 
LOSS: 0.00087961, TIME: 2048.0s
STEP [14240], EPOCH [9/100], ITER [912/1666] 
LOSS: 0.00085256, TIME: 2050.9s
STEP [14260], EPOCH [9/100], ITER [932/1666] 
LOSS: 0.00074549, TIME: 2053.7s
STEP [14280], EPOCH [9/100], ITER [952/1666] 
LOSS: 0.00099132, TIME: 2056.6s
STEP [14300], EPOCH [9/100], ITER [972/1666] 
LOSS: 0.00049731, TIME: 2059.4s
STEP [14320], EPOCH [9/100], ITER [992/1666] 
LOSS: 0.00071509, TIME: 2062.3s
STEP [14340], EPOCH [9/100], ITER [1012/1666] 
LOSS: 0.00096477, TIME: 2065.1s
STEP [14360], EPOCH [9/100], ITER [1032/1666] 
LOSS: 0.00054578, TIME: 2068.0s
STEP [14380], EPOCH [9/100], ITER [1052/1666] 
LOSS: 0.00071160, TIME: 2070.8s
STEP [14400], EPOCH [9/100], ITER [1072/1666] 
LOSS: 0.00073632, TIME: 2073.7s
STEP [14420], EPOCH [9/100], ITER [1092/1666] 
LOSS: 0.00067524, TIME: 2076.5s
STEP [14440], EPOCH [9/100], ITER [1112/1666] 
LOSS: 0.00093174, TIME: 2079.4s
STEP [14460], EPOCH [9/100], ITER [1132/1666] 
LOSS: 0.00102154, TIME: 2082.2s
STEP [14480], EPOCH [9/100], ITER [1152/1666] 
LOSS: 0.00064027, TIME: 2085.1s
STEP [14500], EPOCH [9/100], ITER [1172/1666] 
LOSS: 0.00066054, TIME: 2087.9s
STEP [14520], EPOCH [9/100], ITER [1192/1666] 
LOSS: 0.00089738, TIME: 2090.8s
STEP [14540], EPOCH [9/100], ITER [1212/1666] 
LOSS: 0.00040308, TIME: 2093.6s
STEP [14560], EPOCH [9/100], ITER [1232/1666] 
LOSS: 0.00050262, TIME: 2096.5s
STEP [14580], EPOCH [9/100], ITER [1252/1666] 
LOSS: 0.00070548, TIME: 2099.4s
STEP [14600], EPOCH [9/100], ITER [1272/1666] 
LOSS: 0.00068666, TIME: 2102.2s
STEP [14620], EPOCH [9/100], ITER [1292/1666] 
LOSS: 0.00074983, TIME: 2105.1s
STEP [14640], EPOCH [9/100], ITER [1312/1666] 
LOSS: 0.00148529, TIME: 2107.9s
STEP [14660], EPOCH [9/100], ITER [1332/1666] 
LOSS: 0.00062323, TIME: 2110.8s
STEP [14680], EPOCH [9/100], ITER [1352/1666] 
LOSS: 0.00082095, TIME: 2113.6s
STEP [14700], EPOCH [9/100], ITER [1372/1666] 
LOSS: 0.00076932, TIME: 2116.5s
STEP [14720], EPOCH [9/100], ITER [1392/1666] 
LOSS: 0.00102197, TIME: 2119.3s
STEP [14740], EPOCH [9/100], ITER [1412/1666] 
LOSS: 0.00069722, TIME: 2122.2s
STEP [14760], EPOCH [9/100], ITER [1432/1666] 
LOSS: 0.00061550, TIME: 2125.0s
STEP [14780], EPOCH [9/100], ITER [1452/1666] 
LOSS: 0.00079652, TIME: 2127.9s
STEP [14800], EPOCH [9/100], ITER [1472/1666] 
LOSS: 0.00093438, TIME: 2130.7s
STEP [14820], EPOCH [9/100], ITER [1492/1666] 
LOSS: 0.00079341, TIME: 2133.6s
STEP [14840], EPOCH [9/100], ITER [1512/1666] 
LOSS: 0.00105134, TIME: 2136.5s
STEP [14860], EPOCH [9/100], ITER [1532/1666] 
LOSS: 0.00066643, TIME: 2139.3s
STEP [14880], EPOCH [9/100], ITER [1552/1666] 
LOSS: 0.00080611, TIME: 2142.2s
STEP [14900], EPOCH [9/100], ITER [1572/1666] 
LOSS: 0.00079309, TIME: 2145.0s
STEP [14920], EPOCH [9/100], ITER [1592/1666] 
LOSS: 0.00052516, TIME: 2147.9s
STEP [14940], EPOCH [9/100], ITER [1612/1666] 
LOSS: 0.00077430, TIME: 2150.7s
STEP [14960], EPOCH [9/100], ITER [1632/1666] 
LOSS: 0.00099046, TIME: 2153.6s
STEP [14980], EPOCH [9/100], ITER [1652/1666] 
LOSS: 0.00083070, TIME: 2156.4s
STEP [15000], EPOCH [10/100], ITER [6/1666] 
LOSS: 0.00068079, TIME: 2160.8s
STEP [15020], EPOCH [10/100], ITER [26/1666] 
LOSS: 0.00072880, TIME: 2163.7s
STEP [15040], EPOCH [10/100], ITER [46/1666] 
LOSS: 0.00061210, TIME: 2166.5s
STEP [15060], EPOCH [10/100], ITER [66/1666] 
LOSS: 0.00067829, TIME: 2169.4s
STEP [15080], EPOCH [10/100], ITER [86/1666] 
LOSS: 0.00062846, TIME: 2172.2s
STEP [15100], EPOCH [10/100], ITER [106/1666] 
LOSS: 0.00062461, TIME: 2175.1s
STEP [15120], EPOCH [10/100], ITER [126/1666] 
LOSS: 0.00061182, TIME: 2178.0s
STEP [15140], EPOCH [10/100], ITER [146/1666] 
LOSS: 0.00110261, TIME: 2180.8s
STEP [15160], EPOCH [10/100], ITER [166/1666] 
LOSS: 0.00065939, TIME: 2183.7s
STEP [15180], EPOCH [10/100], ITER [186/1666] 
LOSS: 0.00091379, TIME: 2186.5s
STEP [15200], EPOCH [10/100], ITER [206/1666] 
LOSS: 0.00055350, TIME: 2189.4s
STEP [15220], EPOCH [10/100], ITER [226/1666] 
LOSS: 0.00124150, TIME: 2192.2s
STEP [15240], EPOCH [10/100], ITER [246/1666] 
LOSS: 0.00058447, TIME: 2195.1s
STEP [15260], EPOCH [10/100], ITER [266/1666] 
LOSS: 0.00118380, TIME: 2197.9s
STEP [15280], EPOCH [10/100], ITER [286/1666] 
LOSS: 0.00069576, TIME: 2200.8s
STEP [15300], EPOCH [10/100], ITER [306/1666] 
LOSS: 0.00073890, TIME: 2203.6s
STEP [15320], EPOCH [10/100], ITER [326/1666] 
LOSS: 0.00062515, TIME: 2206.5s
STEP [15340], EPOCH [10/100], ITER [346/1666] 
LOSS: 0.00077455, TIME: 2209.4s
STEP [15360], EPOCH [10/100], ITER [366/1666] 
LOSS: 0.00061009, TIME: 2212.2s
STEP [15380], EPOCH [10/100], ITER [386/1666] 
LOSS: 0.00083612, TIME: 2215.1s
STEP [15400], EPOCH [10/100], ITER [406/1666] 
LOSS: 0.00040507, TIME: 2217.9s
STEP [15420], EPOCH [10/100], ITER [426/1666] 
LOSS: 0.00048695, TIME: 2220.8s
STEP [15440], EPOCH [10/100], ITER [446/1666] 
LOSS: 0.00049788, TIME: 2223.6s
STEP [15460], EPOCH [10/100], ITER [466/1666] 
LOSS: 0.00066906, TIME: 2226.5s
STEP [15480], EPOCH [10/100], ITER [486/1666] 
LOSS: 0.00034531, TIME: 2229.3s
STEP [15500], EPOCH [10/100], ITER [506/1666] 
LOSS: 0.00076636, TIME: 2232.2s
STEP [15520], EPOCH [10/100], ITER [526/1666] 
LOSS: 0.00073351, TIME: 2235.0s
STEP [15540], EPOCH [10/100], ITER [546/1666] 
LOSS: 0.00071812, TIME: 2237.9s
STEP [15560], EPOCH [10/100], ITER [566/1666] 
LOSS: 0.00059200, TIME: 2240.8s
STEP [15580], EPOCH [10/100], ITER [586/1666] 
LOSS: 0.00075445, TIME: 2243.6s
STEP [15600], EPOCH [10/100], ITER [606/1666] 
LOSS: 0.00061482, TIME: 2246.5s
STEP [15620], EPOCH [10/100], ITER [626/1666] 
LOSS: 0.00102633, TIME: 2249.3s
STEP [15640], EPOCH [10/100], ITER [646/1666] 
LOSS: 0.00098050, TIME: 2252.2s
STEP [15660], EPOCH [10/100], ITER [666/1666] 
LOSS: 0.00078143, TIME: 2255.0s
STEP [15680], EPOCH [10/100], ITER [686/1666] 
LOSS: 0.00061261, TIME: 2257.9s
STEP [15700], EPOCH [10/100], ITER [706/1666] 
LOSS: 0.00100778, TIME: 2260.7s
STEP [15720], EPOCH [10/100], ITER [726/1666] 
LOSS: 0.00058274, TIME: 2263.6s
STEP [15740], EPOCH [10/100], ITER [746/1666] 
LOSS: 0.00037377, TIME: 2266.4s
STEP [15760], EPOCH [10/100], ITER [766/1666] 
LOSS: 0.00085331, TIME: 2269.3s
STEP [15780], EPOCH [10/100], ITER [786/1666] 
LOSS: 0.00067215, TIME: 2272.2s
STEP [15800], EPOCH [10/100], ITER [806/1666] 
LOSS: 0.00082376, TIME: 2275.0s
STEP [15820], EPOCH [10/100], ITER [826/1666] 
LOSS: 0.00071555, TIME: 2277.9s
STEP [15840], EPOCH [10/100], ITER [846/1666] 
LOSS: 0.00082910, TIME: 2280.7s
STEP [15860], EPOCH [10/100], ITER [866/1666] 
LOSS: 0.00215064, TIME: 2283.6s
STEP [15880], EPOCH [10/100], ITER [886/1666] 
LOSS: 0.00084525, TIME: 2286.4s
STEP [15900], EPOCH [10/100], ITER [906/1666] 
LOSS: 0.00061839, TIME: 2289.3s
STEP [15920], EPOCH [10/100], ITER [926/1666] 
LOSS: 0.00055793, TIME: 2292.1s
STEP [15940], EPOCH [10/100], ITER [946/1666] 
LOSS: 0.00077038, TIME: 2295.0s
STEP [15960], EPOCH [10/100], ITER [966/1666] 
LOSS: 0.00076283, TIME: 2297.8s
STEP [15980], EPOCH [10/100], ITER [986/1666] 
LOSS: 0.00058125, TIME: 2300.7s
STEP [16000], EPOCH [10/100], ITER [1006/1666] 
LOSS: 0.00063650, TIME: 2303.5s
STEP [16020], EPOCH [10/100], ITER [1026/1666] 
LOSS: 0.00052672, TIME: 2306.5s
STEP [16040], EPOCH [10/100], ITER [1046/1666] 
LOSS: 0.00108748, TIME: 2309.3s
STEP [16060], EPOCH [10/100], ITER [1066/1666] 
LOSS: 0.00063169, TIME: 2312.2s
STEP [16080], EPOCH [10/100], ITER [1086/1666] 
LOSS: 0.00078184, TIME: 2315.0s
STEP [16100], EPOCH [10/100], ITER [1106/1666] 
LOSS: 0.00130554, TIME: 2317.9s
STEP [16120], EPOCH [10/100], ITER [1126/1666] 
LOSS: 0.00106768, TIME: 2320.7s
STEP [16140], EPOCH [10/100], ITER [1146/1666] 
LOSS: 0.00056069, TIME: 2323.6s
STEP [16160], EPOCH [10/100], ITER [1166/1666] 
LOSS: 0.00108276, TIME: 2326.4s
STEP [16180], EPOCH [10/100], ITER [1186/1666] 
LOSS: 0.00050572, TIME: 2329.3s
STEP [16200], EPOCH [10/100], ITER [1206/1666] 
LOSS: 0.00054545, TIME: 2332.2s
STEP [16220], EPOCH [10/100], ITER [1226/1666] 
LOSS: 0.00094578, TIME: 2335.0s
STEP [16240], EPOCH [10/100], ITER [1246/1666] 
LOSS: 0.00076191, TIME: 2337.9s
STEP [16260], EPOCH [10/100], ITER [1266/1666] 
LOSS: 0.00071857, TIME: 2340.7s
STEP [16280], EPOCH [10/100], ITER [1286/1666] 
LOSS: 0.00093327, TIME: 2343.6s
STEP [16300], EPOCH [10/100], ITER [1306/1666] 
LOSS: 0.00057839, TIME: 2346.4s
STEP [16320], EPOCH [10/100], ITER [1326/1666] 
LOSS: 0.00037842, TIME: 2349.3s
STEP [16340], EPOCH [10/100], ITER [1346/1666] 
LOSS: 0.00064760, TIME: 2352.1s
STEP [16360], EPOCH [10/100], ITER [1366/1666] 
LOSS: 0.00050430, TIME: 2355.0s
STEP [16380], EPOCH [10/100], ITER [1386/1666] 
LOSS: 0.00082350, TIME: 2357.8s
STEP [16400], EPOCH [10/100], ITER [1406/1666] 
LOSS: 0.00044689, TIME: 2360.7s
STEP [16420], EPOCH [10/100], ITER [1426/1666] 
LOSS: 0.00061073, TIME: 2363.6s
STEP [16440], EPOCH [10/100], ITER [1446/1666] 
LOSS: 0.00047268, TIME: 2366.4s
STEP [16460], EPOCH [10/100], ITER [1466/1666] 
LOSS: 0.00134641, TIME: 2369.3s
STEP [16480], EPOCH [10/100], ITER [1486/1666] 
LOSS: 0.00092384, TIME: 2372.1s
STEP [16500], EPOCH [10/100], ITER [1506/1666] 
LOSS: 0.00073643, TIME: 2375.0s
STEP [16520], EPOCH [10/100], ITER [1526/1666] 
LOSS: 0.00050459, TIME: 2377.8s
STEP [16540], EPOCH [10/100], ITER [1546/1666] 
LOSS: 0.00079403, TIME: 2380.7s
STEP [16560], EPOCH [10/100], ITER [1566/1666] 
LOSS: 0.00053043, TIME: 2383.5s
STEP [16580], EPOCH [10/100], ITER [1586/1666] 
LOSS: 0.00054801, TIME: 2386.4s
STEP [16600], EPOCH [10/100], ITER [1606/1666] 
LOSS: 0.00046613, TIME: 2389.2s
STEP [16620], EPOCH [10/100], ITER [1626/1666] 
LOSS: 0.00095743, TIME: 2392.1s
STEP [16640], EPOCH [10/100], ITER [1646/1666] 
LOSS: 0.00067116, TIME: 2394.9s
STEP [16660], EPOCH [10/100], ITER [1666/1666] 
LOSS: 0.00100547, TIME: 2397.7s
STEP [16680], EPOCH [11/100], ITER [20/1666] 
LOSS: 0.00049082, TIME: 2402.0s
STEP [16700], EPOCH [11/100], ITER [40/1666] 
LOSS: 0.00070257, TIME: 2404.9s
STEP [16720], EPOCH [11/100], ITER [60/1666] 
LOSS: 0.00050309, TIME: 2407.7s
STEP [16740], EPOCH [11/100], ITER [80/1666] 
LOSS: 0.00088415, TIME: 2410.6s
STEP [16760], EPOCH [11/100], ITER [100/1666] 
LOSS: 0.00054794, TIME: 2413.4s
STEP [16780], EPOCH [11/100], ITER [120/1666] 
LOSS: 0.00089221, TIME: 2416.3s
STEP [16800], EPOCH [11/100], ITER [140/1666] 
LOSS: 0.00089334, TIME: 2419.1s
STEP [16820], EPOCH [11/100], ITER [160/1666] 
LOSS: 0.00085646, TIME: 2422.0s
STEP [16840], EPOCH [11/100], ITER [180/1666] 
LOSS: 0.00086587, TIME: 2424.9s
STEP [16860], EPOCH [11/100], ITER [200/1666] 
LOSS: 0.00060385, TIME: 2427.7s
STEP [16880], EPOCH [11/100], ITER [220/1666] 
LOSS: 0.00057317, TIME: 2430.6s
STEP [16900], EPOCH [11/100], ITER [240/1666] 
LOSS: 0.00109703, TIME: 2433.4s
STEP [16920], EPOCH [11/100], ITER [260/1666] 
LOSS: 0.00068872, TIME: 2436.3s
STEP [16940], EPOCH [11/100], ITER [280/1666] 
LOSS: 0.00034515, TIME: 2439.1s
STEP [16960], EPOCH [11/100], ITER [300/1666] 
LOSS: 0.00052725, TIME: 2442.0s
STEP [16980], EPOCH [11/100], ITER [320/1666] 
LOSS: 0.00054514, TIME: 2444.8s
STEP [17000], EPOCH [11/100], ITER [340/1666] 
LOSS: 0.00072479, TIME: 2447.7s
STEP [17020], EPOCH [11/100], ITER [360/1666] 
LOSS: 0.00081604, TIME: 2450.6s
STEP [17040], EPOCH [11/100], ITER [380/1666] 
LOSS: 0.00057395, TIME: 2453.5s
STEP [17060], EPOCH [11/100], ITER [400/1666] 
LOSS: 0.00086607, TIME: 2456.3s
STEP [17080], EPOCH [11/100], ITER [420/1666] 
LOSS: 0.00081999, TIME: 2459.2s
STEP [17100], EPOCH [11/100], ITER [440/1666] 
LOSS: 0.00090842, TIME: 2462.0s
STEP [17120], EPOCH [11/100], ITER [460/1666] 
LOSS: 0.00045496, TIME: 2464.9s
STEP [17140], EPOCH [11/100], ITER [480/1666] 
LOSS: 0.00054359, TIME: 2467.8s
STEP [17160], EPOCH [11/100], ITER [500/1666] 
LOSS: 0.00075085, TIME: 2470.6s
STEP [17180], EPOCH [11/100], ITER [520/1666] 
LOSS: 0.00068089, TIME: 2473.5s
STEP [17200], EPOCH [11/100], ITER [540/1666] 
LOSS: 0.00035735, TIME: 2476.3s
STEP [17220], EPOCH [11/100], ITER [560/1666] 
LOSS: 0.00071567, TIME: 2479.2s
STEP [17240], EPOCH [11/100], ITER [580/1666] 
LOSS: 0.00069551, TIME: 2482.0s
STEP [17260], EPOCH [11/100], ITER [600/1666] 
LOSS: 0.00056571, TIME: 2484.9s
STEP [17280], EPOCH [11/100], ITER [620/1666] 
LOSS: 0.00078129, TIME: 2487.7s
STEP [17300], EPOCH [11/100], ITER [640/1666] 
LOSS: 0.00086103, TIME: 2490.6s
STEP [17320], EPOCH [11/100], ITER [660/1666] 
LOSS: 0.00088465, TIME: 2493.4s
STEP [17340], EPOCH [11/100], ITER [680/1666] 
LOSS: 0.00077735, TIME: 2496.3s
STEP [17360], EPOCH [11/100], ITER [700/1666] 
LOSS: 0.00118859, TIME: 2499.1s
STEP [17380], EPOCH [11/100], ITER [720/1666] 
LOSS: 0.00080139, TIME: 2502.0s
STEP [17400], EPOCH [11/100], ITER [740/1666] 
LOSS: 0.00058307, TIME: 2504.9s
STEP [17420], EPOCH [11/100], ITER [760/1666] 
LOSS: 0.00072063, TIME: 2507.7s
STEP [17440], EPOCH [11/100], ITER [780/1666] 
LOSS: 0.00057950, TIME: 2510.6s
STEP [17460], EPOCH [11/100], ITER [800/1666] 
LOSS: 0.00070478, TIME: 2513.4s
STEP [17480], EPOCH [11/100], ITER [820/1666] 
LOSS: 0.00053218, TIME: 2516.3s
STEP [17500], EPOCH [11/100], ITER [840/1666] 
LOSS: 0.00082379, TIME: 2519.1s
STEP [17520], EPOCH [11/100], ITER [860/1666] 
LOSS: 0.00083629, TIME: 2522.0s
STEP [17540], EPOCH [11/100], ITER [880/1666] 
LOSS: 0.00073430, TIME: 2524.8s
STEP [17560], EPOCH [11/100], ITER [900/1666] 
LOSS: 0.00063327, TIME: 2527.7s
STEP [17580], EPOCH [11/100], ITER [920/1666] 
LOSS: 0.00056359, TIME: 2530.5s
STEP [17600], EPOCH [11/100], ITER [940/1666] 
LOSS: 0.00053130, TIME: 2533.4s
STEP [17620], EPOCH [11/100], ITER [960/1666] 
LOSS: 0.00080794, TIME: 2536.2s
STEP [17640], EPOCH [11/100], ITER [980/1666] 
LOSS: 0.00078534, TIME: 2539.1s
STEP [17660], EPOCH [11/100], ITER [1000/1666] 
LOSS: 0.00104441, TIME: 2542.0s
STEP [17680], EPOCH [11/100], ITER [1020/1666] 
LOSS: 0.00073791, TIME: 2544.8s
STEP [17700], EPOCH [11/100], ITER [1040/1666] 
LOSS: 0.00079699, TIME: 2547.7s
STEP [17720], EPOCH [11/100], ITER [1060/1666] 
LOSS: 0.00102713, TIME: 2550.5s
STEP [17740], EPOCH [11/100], ITER [1080/1666] 
LOSS: 0.00048683, TIME: 2553.4s
STEP [17760], EPOCH [11/100], ITER [1100/1666] 
LOSS: 0.00062836, TIME: 2556.2s
STEP [17780], EPOCH [11/100], ITER [1120/1666] 
LOSS: 0.00070231, TIME: 2559.1s
STEP [17800], EPOCH [11/100], ITER [1140/1666] 
LOSS: 0.00078205, TIME: 2561.9s
STEP [17820], EPOCH [11/100], ITER [1160/1666] 
LOSS: 0.00072242, TIME: 2564.8s
STEP [17840], EPOCH [11/100], ITER [1180/1666] 
LOSS: 0.00076963, TIME: 2567.6s
STEP [17860], EPOCH [11/100], ITER [1200/1666] 
LOSS: 0.00070620, TIME: 2570.5s
STEP [17880], EPOCH [11/100], ITER [1220/1666] 
LOSS: 0.00102005, TIME: 2573.3s
STEP [17900], EPOCH [11/100], ITER [1240/1666] 
LOSS: 0.00125375, TIME: 2576.2s
STEP [17920], EPOCH [11/100], ITER [1260/1666] 
LOSS: 0.00069925, TIME: 2579.1s
STEP [17940], EPOCH [11/100], ITER [1280/1666] 
LOSS: 0.00082390, TIME: 2581.9s
STEP [17960], EPOCH [11/100], ITER [1300/1666] 
LOSS: 0.00054781, TIME: 2584.8s
STEP [17980], EPOCH [11/100], ITER [1320/1666] 
LOSS: 0.00109451, TIME: 2587.6s
STEP [18000], EPOCH [11/100], ITER [1340/1666] 
LOSS: 0.00068861, TIME: 2590.5s
STEP [18020], EPOCH [11/100], ITER [1360/1666] 
LOSS: 0.00062872, TIME: 2593.4s
STEP [18040], EPOCH [11/100], ITER [1380/1666] 
LOSS: 0.00043206, TIME: 2596.2s
STEP [18060], EPOCH [11/100], ITER [1400/1666] 
LOSS: 0.00053499, TIME: 2599.1s
STEP [18080], EPOCH [11/100], ITER [1420/1666] 
LOSS: 0.00079775, TIME: 2602.0s
STEP [18100], EPOCH [11/100], ITER [1440/1666] 
LOSS: 0.00058300, TIME: 2604.8s
STEP [18120], EPOCH [11/100], ITER [1460/1666] 
LOSS: 0.00075877, TIME: 2607.7s
STEP [18140], EPOCH [11/100], ITER [1480/1666] 
LOSS: 0.00051240, TIME: 2610.5s
STEP [18160], EPOCH [11/100], ITER [1500/1666] 
LOSS: 0.00060507, TIME: 2613.4s
STEP [18180], EPOCH [11/100], ITER [1520/1666] 
LOSS: 0.00048210, TIME: 2616.2s
STEP [18200], EPOCH [11/100], ITER [1540/1666] 
LOSS: 0.00072383, TIME: 2619.1s
STEP [18220], EPOCH [11/100], ITER [1560/1666] 
LOSS: 0.00097745, TIME: 2621.9s
STEP [18240], EPOCH [11/100], ITER [1580/1666] 
LOSS: 0.00088136, TIME: 2624.8s
STEP [18260], EPOCH [11/100], ITER [1600/1666] 
LOSS: 0.00085565, TIME: 2627.7s
STEP [18280], EPOCH [11/100], ITER [1620/1666] 
LOSS: 0.00055263, TIME: 2630.5s
STEP [18300], EPOCH [11/100], ITER [1640/1666] 
LOSS: 0.00054483, TIME: 2633.4s
STEP [18320], EPOCH [11/100], ITER [1660/1666] 
LOSS: 0.00052884, TIME: 2636.2s
STEP [18340], EPOCH [12/100], ITER [14/1666] 
LOSS: 0.00141156, TIME: 2640.5s
STEP [18360], EPOCH [12/100], ITER [34/1666] 
LOSS: 0.00080941, TIME: 2643.3s
STEP [18380], EPOCH [12/100], ITER [54/1666] 
LOSS: 0.00069986, TIME: 2646.2s
STEP [18400], EPOCH [12/100], ITER [74/1666] 
LOSS: 0.00056876, TIME: 2649.1s
STEP [18420], EPOCH [12/100], ITER [94/1666] 
LOSS: 0.00075907, TIME: 2651.9s
STEP [18440], EPOCH [12/100], ITER [114/1666] 
LOSS: 0.00115998, TIME: 2654.8s
STEP [18460], EPOCH [12/100], ITER [134/1666] 
LOSS: 0.00115426, TIME: 2657.6s
STEP [18480], EPOCH [12/100], ITER [154/1666] 
LOSS: 0.00068916, TIME: 2660.5s
STEP [18500], EPOCH [12/100], ITER [174/1666] 
LOSS: 0.00072088, TIME: 2663.3s
STEP [18520], EPOCH [12/100], ITER [194/1666] 
LOSS: 0.00072685, TIME: 2666.2s
STEP [18540], EPOCH [12/100], ITER [214/1666] 
LOSS: 0.00056447, TIME: 2669.0s
STEP [18560], EPOCH [12/100], ITER [234/1666] 
LOSS: 0.00052384, TIME: 2671.9s
STEP [18580], EPOCH [12/100], ITER [254/1666] 
LOSS: 0.00072905, TIME: 2674.7s
STEP [18600], EPOCH [12/100], ITER [274/1666] 
LOSS: 0.00086657, TIME: 2677.6s
STEP [18620], EPOCH [12/100], ITER [294/1666] 
LOSS: 0.00065826, TIME: 2680.5s
STEP [18640], EPOCH [12/100], ITER [314/1666] 
LOSS: 0.00097131, TIME: 2683.3s
STEP [18660], EPOCH [12/100], ITER [334/1666] 
LOSS: 0.00099961, TIME: 2686.2s
STEP [18680], EPOCH [12/100], ITER [354/1666] 
LOSS: 0.00102423, TIME: 2689.0s
STEP [18700], EPOCH [12/100], ITER [374/1666] 
LOSS: 0.00091030, TIME: 2691.9s
STEP [18720], EPOCH [12/100], ITER [394/1666] 
LOSS: 0.00102112, TIME: 2694.7s
STEP [18740], EPOCH [12/100], ITER [414/1666] 
LOSS: 0.00074558, TIME: 2697.6s
STEP [18760], EPOCH [12/100], ITER [434/1666] 
LOSS: 0.00067115, TIME: 2700.4s
STEP [18780], EPOCH [12/100], ITER [454/1666] 
LOSS: 0.00058756, TIME: 2703.3s
STEP [18800], EPOCH [12/100], ITER [474/1666] 
LOSS: 0.00083003, TIME: 2706.1s
STEP [18820], EPOCH [12/100], ITER [494/1666] 
LOSS: 0.00078039, TIME: 2709.0s
STEP [18840], EPOCH [12/100], ITER [514/1666] 
LOSS: 0.00072963, TIME: 2711.8s
STEP [18860], EPOCH [12/100], ITER [534/1666] 
LOSS: 0.00064152, TIME: 2714.7s
STEP [18880], EPOCH [12/100], ITER [554/1666] 
LOSS: 0.00083125, TIME: 2717.5s
STEP [18900], EPOCH [12/100], ITER [574/1666] 
LOSS: 0.00038718, TIME: 2720.4s
STEP [18920], EPOCH [12/100], ITER [594/1666] 
LOSS: 0.00060394, TIME: 2723.3s
STEP [18940], EPOCH [12/100], ITER [614/1666] 
LOSS: 0.00076072, TIME: 2726.1s
STEP [18960], EPOCH [12/100], ITER [634/1666] 
LOSS: 0.00039078, TIME: 2729.0s
STEP [18980], EPOCH [12/100], ITER [654/1666] 
LOSS: 0.00089235, TIME: 2731.8s
STEP [19000], EPOCH [12/100], ITER [674/1666] 
LOSS: 0.00060564, TIME: 2734.7s
STEP [19020], EPOCH [12/100], ITER [694/1666] 
LOSS: 0.00062611, TIME: 2737.6s
STEP [19040], EPOCH [12/100], ITER [714/1666] 
LOSS: 0.00088783, TIME: 2740.5s
STEP [19060], EPOCH [12/100], ITER [734/1666] 
LOSS: 0.00078071, TIME: 2743.3s
STEP [19080], EPOCH [12/100], ITER [754/1666] 
LOSS: 0.00080350, TIME: 2746.2s
STEP [19100], EPOCH [12/100], ITER [774/1666] 
LOSS: 0.00077444, TIME: 2749.0s
STEP [19120], EPOCH [12/100], ITER [794/1666] 
LOSS: 0.00044906, TIME: 2751.9s
STEP [19140], EPOCH [12/100], ITER [814/1666] 
LOSS: 0.00056211, TIME: 2754.7s
STEP [19160], EPOCH [12/100], ITER [834/1666] 
LOSS: 0.00065713, TIME: 2757.6s
STEP [19180], EPOCH [12/100], ITER [854/1666] 
LOSS: 0.00063639, TIME: 2760.4s
STEP [19200], EPOCH [12/100], ITER [874/1666] 
LOSS: 0.00045124, TIME: 2763.3s
STEP [19220], EPOCH [12/100], ITER [894/1666] 
LOSS: 0.00096863, TIME: 2766.1s
STEP [19240], EPOCH [12/100], ITER [914/1666] 
LOSS: 0.00059687, TIME: 2769.0s
STEP [19260], EPOCH [12/100], ITER [934/1666] 
LOSS: 0.00029434, TIME: 2771.8s
STEP [19280], EPOCH [12/100], ITER [954/1666] 
LOSS: 0.00042835, TIME: 2774.7s
STEP [19300], EPOCH [12/100], ITER [974/1666] 
LOSS: 0.00057074, TIME: 2777.6s
STEP [19320], EPOCH [12/100], ITER [994/1666] 
LOSS: 0.00031732, TIME: 2780.4s
STEP [19340], EPOCH [12/100], ITER [1014/1666] 
LOSS: 0.00052675, TIME: 2783.3s
STEP [19360], EPOCH [12/100], ITER [1034/1666] 
LOSS: 0.00056019, TIME: 2786.1s
STEP [19380], EPOCH [12/100], ITER [1054/1666] 
LOSS: 0.00051963, TIME: 2789.0s
STEP [19400], EPOCH [12/100], ITER [1074/1666] 
LOSS: 0.00065157, TIME: 2791.8s
STEP [19420], EPOCH [12/100], ITER [1094/1666] 
LOSS: 0.00093986, TIME: 2794.7s
STEP [19440], EPOCH [12/100], ITER [1114/1666] 
LOSS: 0.00119282, TIME: 2797.5s
STEP [19460], EPOCH [12/100], ITER [1134/1666] 
LOSS: 0.00048979, TIME: 2800.4s
STEP [19480], EPOCH [12/100], ITER [1154/1666] 
LOSS: 0.00051611, TIME: 2803.2s
STEP [19500], EPOCH [12/100], ITER [1174/1666] 
LOSS: 0.00083789, TIME: 2806.1s
STEP [19520], EPOCH [12/100], ITER [1194/1666] 
LOSS: 0.00069931, TIME: 2808.9s
STEP [19540], EPOCH [12/100], ITER [1214/1666] 
LOSS: 0.00066944, TIME: 2811.8s
STEP [19560], EPOCH [12/100], ITER [1234/1666] 
LOSS: 0.00092335, TIME: 2814.6s
STEP [19580], EPOCH [12/100], ITER [1254/1666] 
LOSS: 0.00053353, TIME: 2817.5s
STEP [19600], EPOCH [12/100], ITER [1274/1666] 
LOSS: 0.00049269, TIME: 2820.4s
STEP [19620], EPOCH [12/100], ITER [1294/1666] 
LOSS: 0.00077878, TIME: 2823.2s
STEP [19640], EPOCH [12/100], ITER [1314/1666] 
LOSS: 0.00043732, TIME: 2826.1s
STEP [19660], EPOCH [12/100], ITER [1334/1666] 
LOSS: 0.00083739, TIME: 2828.9s
STEP [19680], EPOCH [12/100], ITER [1354/1666] 
LOSS: 0.00070910, TIME: 2831.8s
STEP [19700], EPOCH [12/100], ITER [1374/1666] 
LOSS: 0.00087362, TIME: 2834.6s
STEP [19720], EPOCH [12/100], ITER [1394/1666] 
LOSS: 0.00066892, TIME: 2837.5s
STEP [19740], EPOCH [12/100], ITER [1414/1666] 
LOSS: 0.00075021, TIME: 2840.3s
STEP [19760], EPOCH [12/100], ITER [1434/1666] 
LOSS: 0.00045598, TIME: 2843.2s
STEP [19780], EPOCH [12/100], ITER [1454/1666] 
LOSS: 0.00086587, TIME: 2846.0s
STEP [19800], EPOCH [12/100], ITER [1474/1666] 
LOSS: 0.00055981, TIME: 2848.9s
STEP [19820], EPOCH [12/100], ITER [1494/1666] 
LOSS: 0.00072001, TIME: 2851.7s
STEP [19840], EPOCH [12/100], ITER [1514/1666] 
LOSS: 0.00081095, TIME: 2854.6s
STEP [19860], EPOCH [12/100], ITER [1534/1666] 
LOSS: 0.00053306, TIME: 2857.4s
STEP [19880], EPOCH [12/100], ITER [1554/1666] 
LOSS: 0.00058004, TIME: 2860.3s
STEP [19900], EPOCH [12/100], ITER [1574/1666] 
LOSS: 0.00037097, TIME: 2863.1s
STEP [19920], EPOCH [12/100], ITER [1594/1666] 
LOSS: 0.00065698, TIME: 2866.0s
STEP [19940], EPOCH [12/100], ITER [1614/1666] 
LOSS: 0.00047025, TIME: 2868.8s
STEP [19960], EPOCH [12/100], ITER [1634/1666] 
LOSS: 0.00082102, TIME: 2871.7s
STEP [19980], EPOCH [12/100], ITER [1654/1666] 
LOSS: 0.00084459, TIME: 2874.5s
STEP [20000], EPOCH [13/100], ITER [8/1666] 
LOSS: 0.00050188, TIME: 2878.8s
STEP [20020], EPOCH [13/100], ITER [28/1666] 
LOSS: 0.00062309, TIME: 2881.8s
STEP [20040], EPOCH [13/100], ITER [48/1666] 
LOSS: 0.00127450, TIME: 2884.6s
STEP [20060], EPOCH [13/100], ITER [68/1666] 
LOSS: 0.00063384, TIME: 2887.5s
STEP [20080], EPOCH [13/100], ITER [88/1666] 
LOSS: 0.00091046, TIME: 2890.3s
STEP [20100], EPOCH [13/100], ITER [108/1666] 
LOSS: 0.00034132, TIME: 2893.2s
STEP [20120], EPOCH [13/100], ITER [128/1666] 
LOSS: 0.00079078, TIME: 2896.0s
STEP [20140], EPOCH [13/100], ITER [148/1666] 
LOSS: 0.00063413, TIME: 2898.9s
STEP [20160], EPOCH [13/100], ITER [168/1666] 
LOSS: 0.00094285, TIME: 2901.7s
STEP [20180], EPOCH [13/100], ITER [188/1666] 
LOSS: 0.00061803, TIME: 2904.6s
STEP [20200], EPOCH [13/100], ITER [208/1666] 
LOSS: 0.00091571, TIME: 2907.5s
STEP [20220], EPOCH [13/100], ITER [228/1666] 
LOSS: 0.00068585, TIME: 2910.3s
STEP [20240], EPOCH [13/100], ITER [248/1666] 
LOSS: 0.00073257, TIME: 2913.2s
STEP [20260], EPOCH [13/100], ITER [268/1666] 
LOSS: 0.00079338, TIME: 2916.0s
STEP [20280], EPOCH [13/100], ITER [288/1666] 
LOSS: 0.00073036, TIME: 2918.9s
STEP [20300], EPOCH [13/100], ITER [308/1666] 
LOSS: 0.00107638, TIME: 2921.7s
STEP [20320], EPOCH [13/100], ITER [328/1666] 
LOSS: 0.00080964, TIME: 2924.6s
STEP [20340], EPOCH [13/100], ITER [348/1666] 
LOSS: 0.00071036, TIME: 2927.4s
STEP [20360], EPOCH [13/100], ITER [368/1666] 
LOSS: 0.00074690, TIME: 2930.3s
STEP [20380], EPOCH [13/100], ITER [388/1666] 
LOSS: 0.00072281, TIME: 2933.1s
STEP [20400], EPOCH [13/100], ITER [408/1666] 
LOSS: 0.00078135, TIME: 2936.0s
STEP [20420], EPOCH [13/100], ITER [428/1666] 
LOSS: 0.00052345, TIME: 2938.8s
STEP [20440], EPOCH [13/100], ITER [448/1666] 
LOSS: 0.00073087, TIME: 2941.7s
STEP [20460], EPOCH [13/100], ITER [468/1666] 
LOSS: 0.00079993, TIME: 2944.6s
STEP [20480], EPOCH [13/100], ITER [488/1666] 
LOSS: 0.00058435, TIME: 2947.4s
STEP [20500], EPOCH [13/100], ITER [508/1666] 
LOSS: 0.00061710, TIME: 2950.3s
STEP [20520], EPOCH [13/100], ITER [528/1666] 
LOSS: 0.00062344, TIME: 2953.1s
STEP [20540], EPOCH [13/100], ITER [548/1666] 
LOSS: 0.00062485, TIME: 2956.0s
STEP [20560], EPOCH [13/100], ITER [568/1666] 
LOSS: 0.00065525, TIME: 2958.8s
STEP [20580], EPOCH [13/100], ITER [588/1666] 
LOSS: 0.00070317, TIME: 2961.7s
STEP [20600], EPOCH [13/100], ITER [608/1666] 
LOSS: 0.00094448, TIME: 2964.5s
STEP [20620], EPOCH [13/100], ITER [628/1666] 
LOSS: 0.00079331, TIME: 2967.4s
STEP [20640], EPOCH [13/100], ITER [648/1666] 
LOSS: 0.00119538, TIME: 2970.2s
STEP [20660], EPOCH [13/100], ITER [668/1666] 
LOSS: 0.00054804, TIME: 2973.1s
STEP [20680], EPOCH [13/100], ITER [688/1666] 
LOSS: 0.00037689, TIME: 2976.0s
STEP [20700], EPOCH [13/100], ITER [708/1666] 
LOSS: 0.00072837, TIME: 2978.8s
STEP [20720], EPOCH [13/100], ITER [728/1666] 
LOSS: 0.00046888, TIME: 2981.7s
STEP [20740], EPOCH [13/100], ITER [748/1666] 
LOSS: 0.00050735, TIME: 2984.5s
STEP [20760], EPOCH [13/100], ITER [768/1666] 
LOSS: 0.00056002, TIME: 2987.4s
STEP [20780], EPOCH [13/100], ITER [788/1666] 
LOSS: 0.00092965, TIME: 2990.2s
STEP [20800], EPOCH [13/100], ITER [808/1666] 
LOSS: 0.00068660, TIME: 2993.1s
STEP [20820], EPOCH [13/100], ITER [828/1666] 
LOSS: 0.00086119, TIME: 2995.9s
STEP [20840], EPOCH [13/100], ITER [848/1666] 
LOSS: 0.00071390, TIME: 2998.8s
STEP [20860], EPOCH [13/100], ITER [868/1666] 
LOSS: 0.00066758, TIME: 3001.7s
STEP [20880], EPOCH [13/100], ITER [888/1666] 
LOSS: 0.00058390, TIME: 3004.5s
STEP [20900], EPOCH [13/100], ITER [908/1666] 
LOSS: 0.00074582, TIME: 3007.4s
STEP [20920], EPOCH [13/100], ITER [928/1666] 
LOSS: 0.00089287, TIME: 3010.2s
STEP [20940], EPOCH [13/100], ITER [948/1666] 
LOSS: 0.00070341, TIME: 3013.1s
STEP [20960], EPOCH [13/100], ITER [968/1666] 
LOSS: 0.00072062, TIME: 3015.9s
STEP [20980], EPOCH [13/100], ITER [988/1666] 
LOSS: 0.00087303, TIME: 3018.8s
STEP [21000], EPOCH [13/100], ITER [1008/1666] 
LOSS: 0.00059505, TIME: 3021.6s
STEP [21020], EPOCH [13/100], ITER [1028/1666] 
LOSS: 0.00073705, TIME: 3024.6s
STEP [21040], EPOCH [13/100], ITER [1048/1666] 
LOSS: 0.00103165, TIME: 3027.4s
STEP [21060], EPOCH [13/100], ITER [1068/1666] 
LOSS: 0.00069807, TIME: 3030.3s
STEP [21080], EPOCH [13/100], ITER [1088/1666] 
LOSS: 0.00074961, TIME: 3033.1s
STEP [21100], EPOCH [13/100], ITER [1108/1666] 
LOSS: 0.00067259, TIME: 3036.0s
STEP [21120], EPOCH [13/100], ITER [1128/1666] 
LOSS: 0.00079906, TIME: 3038.9s
STEP [21140], EPOCH [13/100], ITER [1148/1666] 
LOSS: 0.00068301, TIME: 3041.7s
STEP [21160], EPOCH [13/100], ITER [1168/1666] 
LOSS: 0.00059660, TIME: 3044.6s
STEP [21180], EPOCH [13/100], ITER [1188/1666] 
LOSS: 0.00059561, TIME: 3047.4s
STEP [21200], EPOCH [13/100], ITER [1208/1666] 
LOSS: 0.00059349, TIME: 3050.3s
STEP [21220], EPOCH [13/100], ITER [1228/1666] 
LOSS: 0.00077092, TIME: 3053.1s
STEP [21240], EPOCH [13/100], ITER [1248/1666] 
LOSS: 0.00036856, TIME: 3056.0s
STEP [21260], EPOCH [13/100], ITER [1268/1666] 
LOSS: 0.00077358, TIME: 3058.8s
STEP [21280], EPOCH [13/100], ITER [1288/1666] 
LOSS: 0.00062936, TIME: 3061.7s
STEP [21300], EPOCH [13/100], ITER [1308/1666] 
LOSS: 0.00054652, TIME: 3064.5s
STEP [21320], EPOCH [13/100], ITER [1328/1666] 
LOSS: 0.00068716, TIME: 3067.4s
STEP [21340], EPOCH [13/100], ITER [1348/1666] 
LOSS: 0.00064807, TIME: 3070.3s
STEP [21360], EPOCH [13/100], ITER [1368/1666] 
LOSS: 0.00073582, TIME: 3073.1s
STEP [21380], EPOCH [13/100], ITER [1388/1666] 
LOSS: 0.00067865, TIME: 3076.0s
STEP [21400], EPOCH [13/100], ITER [1408/1666] 
LOSS: 0.00080907, TIME: 3078.8s
STEP [21420], EPOCH [13/100], ITER [1428/1666] 
LOSS: 0.00099257, TIME: 3081.7s
STEP [21440], EPOCH [13/100], ITER [1448/1666] 
LOSS: 0.00044150, TIME: 3084.5s
STEP [21460], EPOCH [13/100], ITER [1468/1666] 
LOSS: 0.00080373, TIME: 3087.4s
STEP [21480], EPOCH [13/100], ITER [1488/1666] 
LOSS: 0.00073020, TIME: 3090.2s
STEP [21500], EPOCH [13/100], ITER [1508/1666] 
LOSS: 0.00044957, TIME: 3093.1s
STEP [21520], EPOCH [13/100], ITER [1528/1666] 
LOSS: 0.00045303, TIME: 3095.9s
STEP [21540], EPOCH [13/100], ITER [1548/1666] 
LOSS: 0.00066309, TIME: 3098.8s
STEP [21560], EPOCH [13/100], ITER [1568/1666] 
LOSS: 0.00064217, TIME: 3101.6s
STEP [21580], EPOCH [13/100], ITER [1588/1666] 
LOSS: 0.00066610, TIME: 3104.5s
STEP [21600], EPOCH [13/100], ITER [1608/1666] 
LOSS: 0.00072184, TIME: 3107.3s
STEP [21620], EPOCH [13/100], ITER [1628/1666] 
LOSS: 0.00080027, TIME: 3110.2s
STEP [21640], EPOCH [13/100], ITER [1648/1666] 
LOSS: 0.00067689, TIME: 3113.0s
STEP [21660], EPOCH [14/100], ITER [2/1666] 
LOSS: 0.00045575, TIME: 3117.3s
STEP [21680], EPOCH [14/100], ITER [22/1666] 
LOSS: 0.00064182, TIME: 3120.1s
STEP [21700], EPOCH [14/100], ITER [42/1666] 
LOSS: 0.00085390, TIME: 3123.0s
STEP [21720], EPOCH [14/100], ITER [62/1666] 
LOSS: 0.00052630, TIME: 3125.9s
STEP [21740], EPOCH [14/100], ITER [82/1666] 
LOSS: 0.00058932, TIME: 3128.7s
STEP [21760], EPOCH [14/100], ITER [102/1666] 
LOSS: 0.00072823, TIME: 3131.6s
STEP [21780], EPOCH [14/100], ITER [122/1666] 
LOSS: 0.00082243, TIME: 3134.4s
STEP [21800], EPOCH [14/100], ITER [142/1666] 
LOSS: 0.00049109, TIME: 3137.3s
STEP [21820], EPOCH [14/100], ITER [162/1666] 
LOSS: 0.00066253, TIME: 3140.1s
STEP [21840], EPOCH [14/100], ITER [182/1666] 
LOSS: 0.00084409, TIME: 3143.0s
STEP [21860], EPOCH [14/100], ITER [202/1666] 
LOSS: 0.00042829, TIME: 3145.8s
STEP [21880], EPOCH [14/100], ITER [222/1666] 
LOSS: 0.00084029, TIME: 3148.7s
STEP [21900], EPOCH [14/100], ITER [242/1666] 
LOSS: 0.00052669, TIME: 3151.5s
STEP [21920], EPOCH [14/100], ITER [262/1666] 
LOSS: 0.00074102, TIME: 3154.4s
STEP [21940], EPOCH [14/100], ITER [282/1666] 
LOSS: 0.00065455, TIME: 3157.2s
STEP [21960], EPOCH [14/100], ITER [302/1666] 
LOSS: 0.00076499, TIME: 3160.1s
STEP [21980], EPOCH [14/100], ITER [322/1666] 
LOSS: 0.00058026, TIME: 3163.0s
STEP [22000], EPOCH [14/100], ITER [342/1666] 
LOSS: 0.00053039, TIME: 3165.8s
STEP [22020], EPOCH [14/100], ITER [362/1666] 
LOSS: 0.00071804, TIME: 3168.7s
STEP [22040], EPOCH [14/100], ITER [382/1666] 
LOSS: 0.00079807, TIME: 3171.6s
STEP [22060], EPOCH [14/100], ITER [402/1666] 
LOSS: 0.00058572, TIME: 3174.4s
STEP [22080], EPOCH [14/100], ITER [422/1666] 
LOSS: 0.00061449, TIME: 3177.3s
STEP [22100], EPOCH [14/100], ITER [442/1666] 
LOSS: 0.00104241, TIME: 3180.2s
STEP [22120], EPOCH [14/100], ITER [462/1666] 
LOSS: 0.00080155, TIME: 3183.0s
STEP [22140], EPOCH [14/100], ITER [482/1666] 
LOSS: 0.00085787, TIME: 3185.9s
STEP [22160], EPOCH [14/100], ITER [502/1666] 
LOSS: 0.00047437, TIME: 3188.7s
STEP [22180], EPOCH [14/100], ITER [522/1666] 
LOSS: 0.00103990, TIME: 3191.6s
STEP [22200], EPOCH [14/100], ITER [542/1666] 
LOSS: 0.00057573, TIME: 3194.4s
STEP [22220], EPOCH [14/100], ITER [562/1666] 
LOSS: 0.00092255, TIME: 3197.3s
STEP [22240], EPOCH [14/100], ITER [582/1666] 
LOSS: 0.00149668, TIME: 3200.1s
STEP [22260], EPOCH [14/100], ITER [602/1666] 
LOSS: 0.00109750, TIME: 3203.0s
STEP [22280], EPOCH [14/100], ITER [622/1666] 
LOSS: 0.00054121, TIME: 3205.8s
STEP [22300], EPOCH [14/100], ITER [642/1666] 
LOSS: 0.00070038, TIME: 3208.7s
STEP [22320], EPOCH [14/100], ITER [662/1666] 
LOSS: 0.00058940, TIME: 3211.5s
STEP [22340], EPOCH [14/100], ITER [682/1666] 
LOSS: 0.00066976, TIME: 3214.4s
STEP [22360], EPOCH [14/100], ITER [702/1666] 
LOSS: 0.00072099, TIME: 3217.3s
STEP [22380], EPOCH [14/100], ITER [722/1666] 
LOSS: 0.00062400, TIME: 3220.1s
STEP [22400], EPOCH [14/100], ITER [742/1666] 
LOSS: 0.00055216, TIME: 3223.0s
STEP [22420], EPOCH [14/100], ITER [762/1666] 
LOSS: 0.00050307, TIME: 3225.8s
STEP [22440], EPOCH [14/100], ITER [782/1666] 
LOSS: 0.00071977, TIME: 3228.7s
STEP [22460], EPOCH [14/100], ITER [802/1666] 
LOSS: 0.00068876, TIME: 3231.5s
STEP [22480], EPOCH [14/100], ITER [822/1666] 
LOSS: 0.00064556, TIME: 3234.4s
STEP [22500], EPOCH [14/100], ITER [842/1666] 
LOSS: 0.00049312, TIME: 3237.2s
STEP [22520], EPOCH [14/100], ITER [862/1666] 
LOSS: 0.00075496, TIME: 3240.1s
STEP [22540], EPOCH [14/100], ITER [882/1666] 
LOSS: 0.00059210, TIME: 3242.9s
STEP [22560], EPOCH [14/100], ITER [902/1666] 
LOSS: 0.00075287, TIME: 3245.8s
STEP [22580], EPOCH [14/100], ITER [922/1666] 
LOSS: 0.00037531, TIME: 3248.7s
STEP [22600], EPOCH [14/100], ITER [942/1666] 
LOSS: 0.00095934, TIME: 3251.5s
STEP [22620], EPOCH [14/100], ITER [962/1666] 
LOSS: 0.00074744, TIME: 3254.4s
STEP [22640], EPOCH [14/100], ITER [982/1666] 
LOSS: 0.00067728, TIME: 3257.2s
STEP [22660], EPOCH [14/100], ITER [1002/1666] 
LOSS: 0.00059395, TIME: 3260.1s
STEP [22680], EPOCH [14/100], ITER [1022/1666] 
LOSS: 0.00050146, TIME: 3262.9s
STEP [22700], EPOCH [14/100], ITER [1042/1666] 
LOSS: 0.00066112, TIME: 3265.8s
STEP [22720], EPOCH [14/100], ITER [1062/1666] 
LOSS: 0.00040751, TIME: 3268.6s
STEP [22740], EPOCH [14/100], ITER [1082/1666] 
LOSS: 0.00075070, TIME: 3271.5s
STEP [22760], EPOCH [14/100], ITER [1102/1666] 
LOSS: 0.00086732, TIME: 3274.3s
STEP [22780], EPOCH [14/100], ITER [1122/1666] 
LOSS: 0.00044821, TIME: 3277.2s
STEP [22800], EPOCH [14/100], ITER [1142/1666] 
LOSS: 0.00082919, TIME: 3280.0s
STEP [22820], EPOCH [14/100], ITER [1162/1666] 
LOSS: 0.00088335, TIME: 3282.9s
STEP [22840], EPOCH [14/100], ITER [1182/1666] 
LOSS: 0.00082979, TIME: 3285.7s
STEP [22860], EPOCH [14/100], ITER [1202/1666] 
LOSS: 0.00059419, TIME: 3288.6s
STEP [22880], EPOCH [14/100], ITER [1222/1666] 
LOSS: 0.00053386, TIME: 3291.5s
STEP [22900], EPOCH [14/100], ITER [1242/1666] 
LOSS: 0.00087575, TIME: 3294.3s
STEP [22920], EPOCH [14/100], ITER [1262/1666] 
LOSS: 0.00078989, TIME: 3297.2s
STEP [22940], EPOCH [14/100], ITER [1282/1666] 
LOSS: 0.00074939, TIME: 3300.0s
STEP [22960], EPOCH [14/100], ITER [1302/1666] 
LOSS: 0.00064879, TIME: 3302.9s
STEP [22980], EPOCH [14/100], ITER [1322/1666] 
LOSS: 0.00067607, TIME: 3305.7s
STEP [23000], EPOCH [14/100], ITER [1342/1666] 
LOSS: 0.00040250, TIME: 3308.6s
STEP [23020], EPOCH [14/100], ITER [1362/1666] 
LOSS: 0.00063782, TIME: 3311.5s
STEP [23040], EPOCH [14/100], ITER [1382/1666] 
LOSS: 0.00062140, TIME: 3314.4s
STEP [23060], EPOCH [14/100], ITER [1402/1666] 
LOSS: 0.00071725, TIME: 3317.2s
STEP [23080], EPOCH [14/100], ITER [1422/1666] 
LOSS: 0.00057511, TIME: 3320.1s
STEP [23100], EPOCH [14/100], ITER [1442/1666] 
LOSS: 0.00057711, TIME: 3322.9s
STEP [23120], EPOCH [14/100], ITER [1462/1666] 
LOSS: 0.00051086, TIME: 3325.8s
STEP [23140], EPOCH [14/100], ITER [1482/1666] 
LOSS: 0.00048112, TIME: 3328.6s
STEP [23160], EPOCH [14/100], ITER [1502/1666] 
LOSS: 0.00088969, TIME: 3331.5s
STEP [23180], EPOCH [14/100], ITER [1522/1666] 
LOSS: 0.00108981, TIME: 3334.3s
STEP [23200], EPOCH [14/100], ITER [1542/1666] 
LOSS: 0.00058728, TIME: 3337.2s
STEP [23220], EPOCH [14/100], ITER [1562/1666] 
LOSS: 0.00076656, TIME: 3340.0s
STEP [23240], EPOCH [14/100], ITER [1582/1666] 
LOSS: 0.00140976, TIME: 3342.9s
STEP [23260], EPOCH [14/100], ITER [1602/1666] 
LOSS: 0.00069134, TIME: 3345.7s
STEP [23280], EPOCH [14/100], ITER [1622/1666] 
LOSS: 0.00027068, TIME: 3348.6s
STEP [23300], EPOCH [14/100], ITER [1642/1666] 
LOSS: 0.00077595, TIME: 3351.5s
STEP [23320], EPOCH [14/100], ITER [1662/1666] 
LOSS: 0.00061246, TIME: 3354.3s
STEP [23340], EPOCH [15/100], ITER [16/1666] 
LOSS: 0.00052307, TIME: 3358.5s
STEP [23360], EPOCH [15/100], ITER [36/1666] 
LOSS: 0.00065641, TIME: 3361.4s
STEP [23380], EPOCH [15/100], ITER [56/1666] 
LOSS: 0.00049045, TIME: 3364.2s
STEP [23400], EPOCH [15/100], ITER [76/1666] 
LOSS: 0.00075464, TIME: 3367.1s
STEP [23420], EPOCH [15/100], ITER [96/1666] 
LOSS: 0.00066893, TIME: 3369.9s
STEP [23440], EPOCH [15/100], ITER [116/1666] 
LOSS: 0.00049864, TIME: 3372.8s
STEP [23460], EPOCH [15/100], ITER [136/1666] 
LOSS: 0.00055334, TIME: 3375.6s
STEP [23480], EPOCH [15/100], ITER [156/1666] 
LOSS: 0.00084758, TIME: 3378.5s
STEP [23500], EPOCH [15/100], ITER [176/1666] 
LOSS: 0.00080258, TIME: 3381.4s
STEP [23520], EPOCH [15/100], ITER [196/1666] 
LOSS: 0.00064574, TIME: 3384.2s
STEP [23540], EPOCH [15/100], ITER [216/1666] 
LOSS: 0.00068445, TIME: 3387.1s
STEP [23560], EPOCH [15/100], ITER [236/1666] 
LOSS: 0.00077189, TIME: 3389.9s
STEP [23580], EPOCH [15/100], ITER [256/1666] 
LOSS: 0.00070483, TIME: 3392.8s
STEP [23600], EPOCH [15/100], ITER [276/1666] 
LOSS: 0.00063009, TIME: 3395.6s
STEP [23620], EPOCH [15/100], ITER [296/1666] 
LOSS: 0.00054885, TIME: 3398.5s
STEP [23640], EPOCH [15/100], ITER [316/1666] 
LOSS: 0.00046827, TIME: 3401.3s
STEP [23660], EPOCH [15/100], ITER [336/1666] 
LOSS: 0.00089370, TIME: 3404.2s
STEP [23680], EPOCH [15/100], ITER [356/1666] 
LOSS: 0.00092460, TIME: 3407.0s
STEP [23700], EPOCH [15/100], ITER [376/1666] 
LOSS: 0.00059244, TIME: 3409.9s
STEP [23720], EPOCH [15/100], ITER [396/1666] 
LOSS: 0.00073308, TIME: 3412.7s
STEP [23740], EPOCH [15/100], ITER [416/1666] 
LOSS: 0.00044948, TIME: 3415.6s
STEP [23760], EPOCH [15/100], ITER [436/1666] 
LOSS: 0.00069239, TIME: 3418.4s
STEP [23780], EPOCH [15/100], ITER [456/1666] 
LOSS: 0.00108750, TIME: 3421.3s
STEP [23800], EPOCH [15/100], ITER [476/1666] 
LOSS: 0.00072016, TIME: 3424.1s
STEP [23820], EPOCH [15/100], ITER [496/1666] 
LOSS: 0.00044541, TIME: 3427.0s
STEP [23840], EPOCH [15/100], ITER [516/1666] 
LOSS: 0.00077562, TIME: 3429.9s
STEP [23860], EPOCH [15/100], ITER [536/1666] 
LOSS: 0.00104029, TIME: 3432.7s
STEP [23880], EPOCH [15/100], ITER [556/1666] 
LOSS: 0.00059613, TIME: 3435.6s
STEP [23900], EPOCH [15/100], ITER [576/1666] 
LOSS: 0.00067470, TIME: 3438.4s
STEP [23920], EPOCH [15/100], ITER [596/1666] 
LOSS: 0.00108737, TIME: 3441.3s
STEP [23940], EPOCH [15/100], ITER [616/1666] 
LOSS: 0.00048122, TIME: 3444.1s
STEP [23960], EPOCH [15/100], ITER [636/1666] 
LOSS: 0.00074329, TIME: 3447.0s
STEP [23980], EPOCH [15/100], ITER [656/1666] 
LOSS: 0.00068346, TIME: 3449.8s
STEP [24000], EPOCH [15/100], ITER [676/1666] 
LOSS: 0.00068289, TIME: 3452.7s
STEP [24020], EPOCH [15/100], ITER [696/1666] 
LOSS: 0.00062366, TIME: 3455.6s
STEP [24040], EPOCH [15/100], ITER [716/1666] 
LOSS: 0.00045527, TIME: 3458.4s
STEP [24060], EPOCH [15/100], ITER [736/1666] 
LOSS: 0.00105640, TIME: 3461.3s
STEP [24080], EPOCH [15/100], ITER [756/1666] 
LOSS: 0.00088435, TIME: 3464.2s
STEP [24100], EPOCH [15/100], ITER [776/1666] 
LOSS: 0.00083760, TIME: 3467.0s
STEP [24120], EPOCH [15/100], ITER [796/1666] 
LOSS: 0.00089087, TIME: 3469.9s
STEP [24140], EPOCH [15/100], ITER [816/1666] 
LOSS: 0.00032598, TIME: 3472.7s
STEP [24160], EPOCH [15/100], ITER [836/1666] 
LOSS: 0.00070941, TIME: 3475.6s
STEP [24180], EPOCH [15/100], ITER [856/1666] 
LOSS: 0.00044087, TIME: 3478.4s
STEP [24200], EPOCH [15/100], ITER [876/1666] 
LOSS: 0.00054827, TIME: 3481.3s
STEP [24220], EPOCH [15/100], ITER [896/1666] 
LOSS: 0.00057321, TIME: 3484.1s
STEP [24240], EPOCH [15/100], ITER [916/1666] 
LOSS: 0.00063874, TIME: 3487.0s
STEP [24260], EPOCH [15/100], ITER [936/1666] 
LOSS: 0.00075792, TIME: 3489.8s
STEP [24280], EPOCH [15/100], ITER [956/1666] 
LOSS: 0.00062319, TIME: 3492.7s
STEP [24300], EPOCH [15/100], ITER [976/1666] 
LOSS: 0.00046571, TIME: 3495.5s
STEP [24320], EPOCH [15/100], ITER [996/1666] 
LOSS: 0.00061523, TIME: 3498.4s
STEP [24340], EPOCH [15/100], ITER [1016/1666] 
LOSS: 0.00057724, TIME: 3501.2s
STEP [24360], EPOCH [15/100], ITER [1036/1666] 
LOSS: 0.00078071, TIME: 3504.1s
STEP [24380], EPOCH [15/100], ITER [1056/1666] 
LOSS: 0.00098354, TIME: 3506.9s
STEP [24400], EPOCH [15/100], ITER [1076/1666] 
LOSS: 0.00049917, TIME: 3509.8s
STEP [24420], EPOCH [15/100], ITER [1096/1666] 
LOSS: 0.00083267, TIME: 3512.6s
STEP [24440], EPOCH [15/100], ITER [1116/1666] 
LOSS: 0.00047916, TIME: 3515.5s
STEP [24460], EPOCH [15/100], ITER [1136/1666] 
LOSS: 0.00088035, TIME: 3518.3s
STEP [24480], EPOCH [15/100], ITER [1156/1666] 
LOSS: 0.00059704, TIME: 3521.2s
STEP [24500], EPOCH [15/100], ITER [1176/1666] 
LOSS: 0.00105121, TIME: 3524.0s
STEP [24520], EPOCH [15/100], ITER [1196/1666] 
LOSS: 0.00060294, TIME: 3526.9s
STEP [24540], EPOCH [15/100], ITER [1216/1666] 
LOSS: 0.00066480, TIME: 3529.7s
STEP [24560], EPOCH [15/100], ITER [1236/1666] 
LOSS: 0.00080408, TIME: 3532.6s
STEP [24580], EPOCH [15/100], ITER [1256/1666] 
LOSS: 0.00100174, TIME: 3535.4s
STEP [24600], EPOCH [15/100], ITER [1276/1666] 
LOSS: 0.00074250, TIME: 3538.3s
STEP [24620], EPOCH [15/100], ITER [1296/1666] 
LOSS: 0.00076929, TIME: 3541.1s
STEP [24640], EPOCH [15/100], ITER [1316/1666] 
LOSS: 0.00058666, TIME: 3544.0s
STEP [24660], EPOCH [15/100], ITER [1336/1666] 
LOSS: 0.00058340, TIME: 3546.8s
STEP [24680], EPOCH [15/100], ITER [1356/1666] 
LOSS: 0.00048749, TIME: 3549.7s
STEP [24700], EPOCH [15/100], ITER [1376/1666] 
LOSS: 0.00127920, TIME: 3552.5s
STEP [24720], EPOCH [15/100], ITER [1396/1666] 
LOSS: 0.00082951, TIME: 3555.4s
STEP [24740], EPOCH [15/100], ITER [1416/1666] 
LOSS: 0.00110970, TIME: 3558.3s
STEP [24760], EPOCH [15/100], ITER [1436/1666] 
LOSS: 0.00075378, TIME: 3561.1s
STEP [24780], EPOCH [15/100], ITER [1456/1666] 
LOSS: 0.00058819, TIME: 3564.0s
STEP [24800], EPOCH [15/100], ITER [1476/1666] 
LOSS: 0.00062502, TIME: 3566.8s
STEP [24820], EPOCH [15/100], ITER [1496/1666] 
LOSS: 0.00045955, TIME: 3569.7s
STEP [24840], EPOCH [15/100], ITER [1516/1666] 
LOSS: 0.00048923, TIME: 3572.5s
STEP [24860], EPOCH [15/100], ITER [1536/1666] 
LOSS: 0.00057667, TIME: 3575.4s
STEP [24880], EPOCH [15/100], ITER [1556/1666] 
LOSS: 0.00065743, TIME: 3578.2s
STEP [24900], EPOCH [15/100], ITER [1576/1666] 
LOSS: 0.00061987, TIME: 3581.1s
STEP [24920], EPOCH [15/100], ITER [1596/1666] 
LOSS: 0.00042906, TIME: 3583.9s
STEP [24940], EPOCH [15/100], ITER [1616/1666] 
LOSS: 0.00067174, TIME: 3586.8s
STEP [24960], EPOCH [15/100], ITER [1636/1666] 
LOSS: 0.00058167, TIME: 3589.6s
STEP [24980], EPOCH [15/100], ITER [1656/1666] 
LOSS: 0.00029288, TIME: 3592.5s
STEP [25000], EPOCH [16/100], ITER [10/1666] 
LOSS: 0.00059501, TIME: 3596.7s
STEP [25020], EPOCH [16/100], ITER [30/1666] 
LOSS: 0.00070555, TIME: 3599.7s
STEP [25040], EPOCH [16/100], ITER [50/1666] 
LOSS: 0.00068245, TIME: 3602.5s
STEP [25060], EPOCH [16/100], ITER [70/1666] 
LOSS: 0.00072563, TIME: 3605.4s
STEP [25080], EPOCH [16/100], ITER [90/1666] 
LOSS: 0.00068437, TIME: 3608.2s
STEP [25100], EPOCH [16/100], ITER [110/1666] 
LOSS: 0.00074213, TIME: 3611.1s
STEP [25120], EPOCH [16/100], ITER [130/1666] 
LOSS: 0.00078690, TIME: 3613.9s
STEP [25140], EPOCH [16/100], ITER [150/1666] 
LOSS: 0.00073188, TIME: 3616.8s
STEP [25160], EPOCH [16/100], ITER [170/1666] 
LOSS: 0.00055013, TIME: 3619.6s
STEP [25180], EPOCH [16/100], ITER [190/1666] 
LOSS: 0.00055002, TIME: 3622.5s
STEP [25200], EPOCH [16/100], ITER [210/1666] 
LOSS: 0.00086457, TIME: 3625.3s
STEP [25220], EPOCH [16/100], ITER [230/1666] 
LOSS: 0.00049160, TIME: 3628.2s
STEP [25240], EPOCH [16/100], ITER [250/1666] 
LOSS: 0.00064949, TIME: 3631.1s
STEP [25260], EPOCH [16/100], ITER [270/1666] 
LOSS: 0.00067001, TIME: 3633.9s
STEP [25280], EPOCH [16/100], ITER [290/1666] 
LOSS: 0.00061019, TIME: 3636.8s
STEP [25300], EPOCH [16/100], ITER [310/1666] 
LOSS: 0.00098733, TIME: 3639.6s
STEP [25320], EPOCH [16/100], ITER [330/1666] 
LOSS: 0.00085740, TIME: 3642.5s
STEP [25340], EPOCH [16/100], ITER [350/1666] 
LOSS: 0.00066192, TIME: 3645.3s
STEP [25360], EPOCH [16/100], ITER [370/1666] 
LOSS: 0.00057736, TIME: 3648.2s
STEP [25380], EPOCH [16/100], ITER [390/1666] 
LOSS: 0.00073718, TIME: 3651.0s
STEP [25400], EPOCH [16/100], ITER [410/1666] 
LOSS: 0.00063152, TIME: 3653.9s
STEP [25420], EPOCH [16/100], ITER [430/1666] 
LOSS: 0.00092201, TIME: 3656.7s
STEP [25440], EPOCH [16/100], ITER [450/1666] 
LOSS: 0.00075082, TIME: 3659.6s
STEP [25460], EPOCH [16/100], ITER [470/1666] 
LOSS: 0.00050569, TIME: 3662.4s
STEP [25480], EPOCH [16/100], ITER [490/1666] 
LOSS: 0.00047445, TIME: 3665.3s
STEP [25500], EPOCH [16/100], ITER [510/1666] 
LOSS: 0.00053497, TIME: 3668.2s
STEP [25520], EPOCH [16/100], ITER [530/1666] 
LOSS: 0.00056458, TIME: 3671.0s
STEP [25540], EPOCH [16/100], ITER [550/1666] 
LOSS: 0.00098378, TIME: 3673.9s
STEP [25560], EPOCH [16/100], ITER [570/1666] 
LOSS: 0.00048064, TIME: 3676.7s
STEP [25580], EPOCH [16/100], ITER [590/1666] 
LOSS: 0.00048606, TIME: 3679.6s
STEP [25600], EPOCH [16/100], ITER [610/1666] 
LOSS: 0.00050690, TIME: 3682.4s
STEP [25620], EPOCH [16/100], ITER [630/1666] 
LOSS: 0.00061753, TIME: 3685.3s
STEP [25640], EPOCH [16/100], ITER [650/1666] 
LOSS: 0.00066851, TIME: 3688.1s
STEP [25660], EPOCH [16/100], ITER [670/1666] 
LOSS: 0.00080720, TIME: 3691.0s
STEP [25680], EPOCH [16/100], ITER [690/1666] 
LOSS: 0.00055031, TIME: 3693.8s
STEP [25700], EPOCH [16/100], ITER [710/1666] 
LOSS: 0.00133709, TIME: 3696.7s
STEP [25720], EPOCH [16/100], ITER [730/1666] 
LOSS: 0.00091347, TIME: 3699.5s
STEP [25740], EPOCH [16/100], ITER [750/1666] 
LOSS: 0.00085072, TIME: 3702.4s
STEP [25760], EPOCH [16/100], ITER [770/1666] 
LOSS: 0.00103079, TIME: 3705.2s
STEP [25780], EPOCH [16/100], ITER [790/1666] 
LOSS: 0.00059350, TIME: 3708.1s
STEP [25800], EPOCH [16/100], ITER [810/1666] 
LOSS: 0.00062350, TIME: 3711.0s
STEP [25820], EPOCH [16/100], ITER [830/1666] 
LOSS: 0.00084602, TIME: 3713.8s
STEP [25840], EPOCH [16/100], ITER [850/1666] 
LOSS: 0.00074400, TIME: 3716.7s
STEP [25860], EPOCH [16/100], ITER [870/1666] 
LOSS: 0.00074563, TIME: 3719.5s
STEP [25880], EPOCH [16/100], ITER [890/1666] 
LOSS: 0.00072793, TIME: 3722.4s
STEP [25900], EPOCH [16/100], ITER [910/1666] 
LOSS: 0.00084496, TIME: 3725.2s
STEP [25920], EPOCH [16/100], ITER [930/1666] 
LOSS: 0.00052421, TIME: 3728.1s
STEP [25940], EPOCH [16/100], ITER [950/1666] 
LOSS: 0.00108841, TIME: 3730.9s
STEP [25960], EPOCH [16/100], ITER [970/1666] 
LOSS: 0.00055547, TIME: 3733.8s
STEP [25980], EPOCH [16/100], ITER [990/1666] 
LOSS: 0.00041752, TIME: 3736.6s
STEP [26000], EPOCH [16/100], ITER [1010/1666] 
LOSS: 0.00087977, TIME: 3739.5s
STEP [26020], EPOCH [16/100], ITER [1030/1666] 
LOSS: 0.00077076, TIME: 3742.4s
STEP [26040], EPOCH [16/100], ITER [1050/1666] 
LOSS: 0.00085652, TIME: 3745.3s
STEP [26060], EPOCH [16/100], ITER [1070/1666] 
LOSS: 0.00078638, TIME: 3748.1s
STEP [26080], EPOCH [16/100], ITER [1090/1666] 
LOSS: 0.00082280, TIME: 3751.0s
STEP [26100], EPOCH [16/100], ITER [1110/1666] 
LOSS: 0.00049137, TIME: 3753.8s
STEP [26120], EPOCH [16/100], ITER [1130/1666] 
LOSS: 0.00070366, TIME: 3756.7s
STEP [26140], EPOCH [16/100], ITER [1150/1666] 
LOSS: 0.00065561, TIME: 3759.5s
STEP [26160], EPOCH [16/100], ITER [1170/1666] 
LOSS: 0.00060225, TIME: 3762.4s
STEP [26180], EPOCH [16/100], ITER [1190/1666] 
LOSS: 0.00055350, TIME: 3765.2s
STEP [26200], EPOCH [16/100], ITER [1210/1666] 
LOSS: 0.00078864, TIME: 3768.1s
STEP [26220], EPOCH [16/100], ITER [1230/1666] 
LOSS: 0.00097095, TIME: 3771.0s
STEP [26240], EPOCH [16/100], ITER [1250/1666] 
LOSS: 0.00057424, TIME: 3773.8s
STEP [26260], EPOCH [16/100], ITER [1270/1666] 
LOSS: 0.00066447, TIME: 3776.7s
STEP [26280], EPOCH [16/100], ITER [1290/1666] 
LOSS: 0.00079302, TIME: 3779.5s
STEP [26300], EPOCH [16/100], ITER [1310/1666] 
LOSS: 0.00035829, TIME: 3782.4s
STEP [26320], EPOCH [16/100], ITER [1330/1666] 
LOSS: 0.00067401, TIME: 3785.2s
STEP [26340], EPOCH [16/100], ITER [1350/1666] 
LOSS: 0.00067300, TIME: 3788.1s
STEP [26360], EPOCH [16/100], ITER [1370/1666] 
LOSS: 0.00053734, TIME: 3790.9s
STEP [26380], EPOCH [16/100], ITER [1390/1666] 
LOSS: 0.00062355, TIME: 3793.8s
STEP [26400], EPOCH [16/100], ITER [1410/1666] 
LOSS: 0.00064371, TIME: 3796.6s
STEP [26420], EPOCH [16/100], ITER [1430/1666] 
LOSS: 0.00070875, TIME: 3799.5s
STEP [26440], EPOCH [16/100], ITER [1450/1666] 
LOSS: 0.00057941, TIME: 3802.3s
STEP [26460], EPOCH [16/100], ITER [1470/1666] 
LOSS: 0.00064378, TIME: 3805.2s
STEP [26480], EPOCH [16/100], ITER [1490/1666] 
LOSS: 0.00047200, TIME: 3808.0s
STEP [26500], EPOCH [16/100], ITER [1510/1666] 
LOSS: 0.00054997, TIME: 3810.9s
STEP [26520], EPOCH [16/100], ITER [1530/1666] 
LOSS: 0.00080050, TIME: 3813.8s
STEP [26540], EPOCH [16/100], ITER [1550/1666] 
LOSS: 0.00087849, TIME: 3816.6s
STEP [26560], EPOCH [16/100], ITER [1570/1666] 
LOSS: 0.00075034, TIME: 3819.5s
STEP [26580], EPOCH [16/100], ITER [1590/1666] 
LOSS: 0.00094999, TIME: 3822.3s
STEP [26600], EPOCH [16/100], ITER [1610/1666] 
LOSS: 0.00138957, TIME: 3825.2s
STEP [26620], EPOCH [16/100], ITER [1630/1666] 
LOSS: 0.00064822, TIME: 3828.0s
STEP [26640], EPOCH [16/100], ITER [1650/1666] 
LOSS: 0.00052744, TIME: 3830.9s
STEP [26660], EPOCH [17/100], ITER [4/1666] 
LOSS: 0.00101032, TIME: 3835.2s
STEP [26680], EPOCH [17/100], ITER [24/1666] 
LOSS: 0.00065655, TIME: 3838.0s
STEP [26700], EPOCH [17/100], ITER [44/1666] 
LOSS: 0.00077773, TIME: 3840.9s
STEP [26720], EPOCH [17/100], ITER [64/1666] 
LOSS: 0.00085295, TIME: 3843.7s
STEP [26740], EPOCH [17/100], ITER [84/1666] 
LOSS: 0.00094624, TIME: 3846.6s
STEP [26760], EPOCH [17/100], ITER [104/1666] 
LOSS: 0.00068574, TIME: 3849.5s
STEP [26780], EPOCH [17/100], ITER [124/1666] 
LOSS: 0.00077055, TIME: 3852.3s
STEP [26800], EPOCH [17/100], ITER [144/1666] 
LOSS: 0.00089544, TIME: 3855.2s
STEP [26820], EPOCH [17/100], ITER [164/1666] 
LOSS: 0.00086279, TIME: 3858.0s
STEP [26840], EPOCH [17/100], ITER [184/1666] 
LOSS: 0.00074509, TIME: 3860.9s
STEP [26860], EPOCH [17/100], ITER [204/1666] 
LOSS: 0.00085173, TIME: 3863.7s
STEP [26880], EPOCH [17/100], ITER [224/1666] 
LOSS: 0.00088895, TIME: 3866.6s
STEP [26900], EPOCH [17/100], ITER [244/1666] 
LOSS: 0.00074070, TIME: 3869.4s
STEP [26920], EPOCH [17/100], ITER [264/1666] 
LOSS: 0.00069858, TIME: 3872.3s
STEP [26940], EPOCH [17/100], ITER [284/1666] 
LOSS: 0.00053682, TIME: 3875.1s
STEP [26960], EPOCH [17/100], ITER [304/1666] 
LOSS: 0.00079110, TIME: 3878.0s
STEP [26980], EPOCH [17/100], ITER [324/1666] 
LOSS: 0.00056803, TIME: 3880.8s
STEP [27000], EPOCH [17/100], ITER [344/1666] 
LOSS: 0.00088658, TIME: 3883.7s
STEP [27020], EPOCH [17/100], ITER [364/1666] 
LOSS: 0.00068078, TIME: 3886.6s
STEP [27040], EPOCH [17/100], ITER [384/1666] 
LOSS: 0.00052802, TIME: 3889.5s
STEP [27060], EPOCH [17/100], ITER [404/1666] 
LOSS: 0.00060925, TIME: 3892.3s
STEP [27080], EPOCH [17/100], ITER [424/1666] 
LOSS: 0.00058972, TIME: 3895.2s
STEP [27100], EPOCH [17/100], ITER [444/1666] 
LOSS: 0.00065416, TIME: 3898.0s
STEP [27120], EPOCH [17/100], ITER [464/1666] 
LOSS: 0.00097573, TIME: 3900.9s
STEP [27140], EPOCH [17/100], ITER [484/1666] 
LOSS: 0.00046802, TIME: 3903.7s
STEP [27160], EPOCH [17/100], ITER [504/1666] 
LOSS: 0.00055570, TIME: 3906.6s
STEP [27180], EPOCH [17/100], ITER [524/1666] 
LOSS: 0.00072796, TIME: 3909.4s
STEP [27200], EPOCH [17/100], ITER [544/1666] 
LOSS: 0.00053884, TIME: 3912.3s
STEP [27220], EPOCH [17/100], ITER [564/1666] 
LOSS: 0.00054760, TIME: 3915.1s
STEP [27240], EPOCH [17/100], ITER [584/1666] 
LOSS: 0.00053270, TIME: 3918.0s
STEP [27260], EPOCH [17/100], ITER [604/1666] 
LOSS: 0.00071217, TIME: 3920.9s
STEP [27280], EPOCH [17/100], ITER [624/1666] 
LOSS: 0.00089959, TIME: 3923.7s
STEP [27300], EPOCH [17/100], ITER [644/1666] 
LOSS: 0.00058019, TIME: 3926.6s
STEP [27320], EPOCH [17/100], ITER [664/1666] 
LOSS: 0.00038312, TIME: 3929.4s
STEP [27340], EPOCH [17/100], ITER [684/1666] 
LOSS: 0.00083740, TIME: 3932.3s
STEP [27360], EPOCH [17/100], ITER [704/1666] 
LOSS: 0.00075998, TIME: 3935.1s
STEP [27380], EPOCH [17/100], ITER [724/1666] 
LOSS: 0.00047235, TIME: 3938.0s
STEP [27400], EPOCH [17/100], ITER [744/1666] 
LOSS: 0.00065392, TIME: 3940.8s
STEP [27420], EPOCH [17/100], ITER [764/1666] 
LOSS: 0.00065747, TIME: 3943.7s
STEP [27440], EPOCH [17/100], ITER [784/1666] 
LOSS: 0.00065581, TIME: 3946.5s
STEP [27460], EPOCH [17/100], ITER [804/1666] 
LOSS: 0.00081433, TIME: 3949.4s
STEP [27480], EPOCH [17/100], ITER [824/1666] 
LOSS: 0.00074831, TIME: 3952.2s
STEP [27500], EPOCH [17/100], ITER [844/1666] 
LOSS: 0.00048710, TIME: 3955.1s
STEP [27520], EPOCH [17/100], ITER [864/1666] 
LOSS: 0.00057997, TIME: 3957.9s
STEP [27540], EPOCH [17/100], ITER [884/1666] 
LOSS: 0.00062649, TIME: 3960.8s
STEP [27560], EPOCH [17/100], ITER [904/1666] 
LOSS: 0.00062447, TIME: 3963.6s
STEP [27580], EPOCH [17/100], ITER [924/1666] 
LOSS: 0.00074186, TIME: 3966.5s
STEP [27600], EPOCH [17/100], ITER [944/1666] 
LOSS: 0.00050696, TIME: 3969.3s
STEP [27620], EPOCH [17/100], ITER [964/1666] 
LOSS: 0.00053801, TIME: 3972.2s
STEP [27640], EPOCH [17/100], ITER [984/1666] 
LOSS: 0.00055955, TIME: 3975.1s
STEP [27660], EPOCH [17/100], ITER [1004/1666] 
LOSS: 0.00069586, TIME: 3977.9s
STEP [27680], EPOCH [17/100], ITER [1024/1666] 
LOSS: 0.00083352, TIME: 3980.8s
STEP [27700], EPOCH [17/100], ITER [1044/1666] 
LOSS: 0.00056251, TIME: 3983.6s
STEP [27720], EPOCH [17/100], ITER [1064/1666] 
LOSS: 0.00076721, TIME: 3986.5s
STEP [27740], EPOCH [17/100], ITER [1084/1666] 
LOSS: 0.00033486, TIME: 3989.3s
STEP [27760], EPOCH [17/100], ITER [1104/1666] 
LOSS: 0.00058937, TIME: 3992.2s
STEP [27780], EPOCH [17/100], ITER [1124/1666] 
LOSS: 0.00069551, TIME: 3995.0s
STEP [27800], EPOCH [17/100], ITER [1144/1666] 
LOSS: 0.00066507, TIME: 3997.9s
STEP [27820], EPOCH [17/100], ITER [1164/1666] 
LOSS: 0.00100392, TIME: 4000.7s
STEP [27840], EPOCH [17/100], ITER [1184/1666] 
LOSS: 0.00059356, TIME: 4003.6s
STEP [27860], EPOCH [17/100], ITER [1204/1666] 
LOSS: 0.00054511, TIME: 4006.4s
STEP [27880], EPOCH [17/100], ITER [1224/1666] 
LOSS: 0.00056156, TIME: 4009.3s
STEP [27900], EPOCH [17/100], ITER [1244/1666] 
LOSS: 0.00103320, TIME: 4012.1s
STEP [27920], EPOCH [17/100], ITER [1264/1666] 
LOSS: 0.00080644, TIME: 4015.0s
STEP [27940], EPOCH [17/100], ITER [1284/1666] 
LOSS: 0.00069143, TIME: 4017.9s
STEP [27960], EPOCH [17/100], ITER [1304/1666] 
LOSS: 0.00077350, TIME: 4020.7s
STEP [27980], EPOCH [17/100], ITER [1324/1666] 
LOSS: 0.00058726, TIME: 4023.6s
STEP [28000], EPOCH [17/100], ITER [1344/1666] 
LOSS: 0.00081340, TIME: 4026.4s
STEP [28020], EPOCH [17/100], ITER [1364/1666] 
LOSS: 0.00084606, TIME: 4029.3s
STEP [28040], EPOCH [17/100], ITER [1384/1666] 
LOSS: 0.00062327, TIME: 4032.2s
STEP [28060], EPOCH [17/100], ITER [1404/1666] 
LOSS: 0.00086743, TIME: 4035.0s
STEP [28080], EPOCH [17/100], ITER [1424/1666] 
LOSS: 0.00062546, TIME: 4037.9s
STEP [28100], EPOCH [17/100], ITER [1444/1666] 
LOSS: 0.00060288, TIME: 4040.8s
STEP [28120], EPOCH [17/100], ITER [1464/1666] 
LOSS: 0.00051603, TIME: 4043.6s
STEP [28140], EPOCH [17/100], ITER [1484/1666] 
LOSS: 0.00075067, TIME: 4046.5s
STEP [28160], EPOCH [17/100], ITER [1504/1666] 
LOSS: 0.00052545, TIME: 4049.3s
STEP [28180], EPOCH [17/100], ITER [1524/1666] 
LOSS: 0.00063299, TIME: 4052.2s
STEP [28200], EPOCH [17/100], ITER [1544/1666] 
LOSS: 0.00073700, TIME: 4055.0s
STEP [28220], EPOCH [17/100], ITER [1564/1666] 
LOSS: 0.00118421, TIME: 4057.9s
STEP [28240], EPOCH [17/100], ITER [1584/1666] 
LOSS: 0.00096934, TIME: 4060.7s
STEP [28260], EPOCH [17/100], ITER [1604/1666] 
LOSS: 0.00040908, TIME: 4063.6s
STEP [28280], EPOCH [17/100], ITER [1624/1666] 
LOSS: 0.00057736, TIME: 4066.4s
STEP [28300], EPOCH [17/100], ITER [1644/1666] 
LOSS: 0.00063214, TIME: 4069.3s
STEP [28320], EPOCH [17/100], ITER [1664/1666] 
LOSS: 0.00090444, TIME: 4072.1s
STEP [28340], EPOCH [18/100], ITER [18/1666] 
LOSS: 0.00062906, TIME: 4076.5s
STEP [28360], EPOCH [18/100], ITER [38/1666] 
LOSS: 0.00063869, TIME: 4079.3s
STEP [28380], EPOCH [18/100], ITER [58/1666] 
LOSS: 0.00057074, TIME: 4082.2s
STEP [28400], EPOCH [18/100], ITER [78/1666] 
LOSS: 0.00081469, TIME: 4085.0s
STEP [28420], EPOCH [18/100], ITER [98/1666] 
LOSS: 0.00061893, TIME: 4087.9s
STEP [28440], EPOCH [18/100], ITER [118/1666] 
LOSS: 0.00074580, TIME: 4090.7s
STEP [28460], EPOCH [18/100], ITER [138/1666] 
LOSS: 0.00083637, TIME: 4093.6s
STEP [28480], EPOCH [18/100], ITER [158/1666] 
LOSS: 0.00056118, TIME: 4096.4s
STEP [28500], EPOCH [18/100], ITER [178/1666] 
LOSS: 0.00048020, TIME: 4099.3s
STEP [28520], EPOCH [18/100], ITER [198/1666] 
LOSS: 0.00057896, TIME: 4102.1s
STEP [28540], EPOCH [18/100], ITER [218/1666] 
LOSS: 0.00050413, TIME: 4105.0s
STEP [28560], EPOCH [18/100], ITER [238/1666] 
LOSS: 0.00070736, TIME: 4107.9s
STEP [28580], EPOCH [18/100], ITER [258/1666] 
LOSS: 0.00063793, TIME: 4110.7s
STEP [28600], EPOCH [18/100], ITER [278/1666] 
LOSS: 0.00122020, TIME: 4113.6s
STEP [28620], EPOCH [18/100], ITER [298/1666] 
LOSS: 0.00065198, TIME: 4116.4s
STEP [28640], EPOCH [18/100], ITER [318/1666] 
LOSS: 0.00037253, TIME: 4119.3s
STEP [28660], EPOCH [18/100], ITER [338/1666] 
LOSS: 0.00076757, TIME: 4122.1s
STEP [28680], EPOCH [18/100], ITER [358/1666] 
LOSS: 0.00036370, TIME: 4125.0s
STEP [28700], EPOCH [18/100], ITER [378/1666] 
LOSS: 0.00046253, TIME: 4127.8s
STEP [28720], EPOCH [18/100], ITER [398/1666] 
LOSS: 0.00091962, TIME: 4130.7s
STEP [28740], EPOCH [18/100], ITER [418/1666] 
LOSS: 0.00057413, TIME: 4133.5s
STEP [28760], EPOCH [18/100], ITER [438/1666] 
LOSS: 0.00085363, TIME: 4136.4s
STEP [28780], EPOCH [18/100], ITER [458/1666] 
LOSS: 0.00075749, TIME: 4139.2s
STEP [28800], EPOCH [18/100], ITER [478/1666] 
LOSS: 0.00034509, TIME: 4142.1s
STEP [28820], EPOCH [18/100], ITER [498/1666] 
LOSS: 0.00048555, TIME: 4144.9s
STEP [28840], EPOCH [18/100], ITER [518/1666] 
LOSS: 0.00059226, TIME: 4147.8s
STEP [28860], EPOCH [18/100], ITER [538/1666] 
LOSS: 0.00060402, TIME: 4150.7s
STEP [28880], EPOCH [18/100], ITER [558/1666] 
LOSS: 0.00051926, TIME: 4153.5s
STEP [28900], EPOCH [18/100], ITER [578/1666] 
LOSS: 0.00085611, TIME: 4156.4s
STEP [28920], EPOCH [18/100], ITER [598/1666] 
LOSS: 0.00169865, TIME: 4159.2s
STEP [28940], EPOCH [18/100], ITER [618/1666] 
LOSS: 0.00081953, TIME: 4162.1s
STEP [28960], EPOCH [18/100], ITER [638/1666] 
LOSS: 0.00068997, TIME: 4164.9s
STEP [28980], EPOCH [18/100], ITER [658/1666] 
LOSS: 0.00040555, TIME: 4167.8s
STEP [29000], EPOCH [18/100], ITER [678/1666] 
LOSS: 0.00127177, TIME: 4170.6s
STEP [29020], EPOCH [18/100], ITER [698/1666] 
LOSS: 0.00101408, TIME: 4173.6s
STEP [29040], EPOCH [18/100], ITER [718/1666] 
LOSS: 0.00093286, TIME: 4176.4s
STEP [29060], EPOCH [18/100], ITER [738/1666] 
LOSS: 0.00055689, TIME: 4179.3s
STEP [29080], EPOCH [18/100], ITER [758/1666] 
LOSS: 0.00073860, TIME: 4182.1s
STEP [29100], EPOCH [18/100], ITER [778/1666] 
LOSS: 0.00054486, TIME: 4185.0s
STEP [29120], EPOCH [18/100], ITER [798/1666] 
LOSS: 0.00089828, TIME: 4187.8s
STEP [29140], EPOCH [18/100], ITER [818/1666] 
LOSS: 0.00047222, TIME: 4190.7s
STEP [29160], EPOCH [18/100], ITER [838/1666] 
LOSS: 0.00073373, TIME: 4193.5s
STEP [29180], EPOCH [18/100], ITER [858/1666] 
LOSS: 0.00063278, TIME: 4196.4s
STEP [29200], EPOCH [18/100], ITER [878/1666] 
LOSS: 0.00044433, TIME: 4199.2s
STEP [29220], EPOCH [18/100], ITER [898/1666] 
LOSS: 0.00044021, TIME: 4202.1s
STEP [29240], EPOCH [18/100], ITER [918/1666] 
LOSS: 0.00057088, TIME: 4204.9s
STEP [29260], EPOCH [18/100], ITER [938/1666] 
LOSS: 0.00072508, TIME: 4207.8s
STEP [29280], EPOCH [18/100], ITER [958/1666] 
LOSS: 0.00055129, TIME: 4210.6s
STEP [29300], EPOCH [18/100], ITER [978/1666] 
LOSS: 0.00063809, TIME: 4213.5s
STEP [29320], EPOCH [18/100], ITER [998/1666] 
LOSS: 0.00050760, TIME: 4216.4s
STEP [29340], EPOCH [18/100], ITER [1018/1666] 
LOSS: 0.00067779, TIME: 4219.2s
STEP [29360], EPOCH [18/100], ITER [1038/1666] 
LOSS: 0.00066840, TIME: 4222.1s
STEP [29380], EPOCH [18/100], ITER [1058/1666] 
LOSS: 0.00051385, TIME: 4224.9s
STEP [29400], EPOCH [18/100], ITER [1078/1666] 
LOSS: 0.00060977, TIME: 4227.8s
STEP [29420], EPOCH [18/100], ITER [1098/1666] 
LOSS: 0.00072789, TIME: 4230.6s
STEP [29440], EPOCH [18/100], ITER [1118/1666] 
LOSS: 0.00113338, TIME: 4233.5s
STEP [29460], EPOCH [18/100], ITER [1138/1666] 
LOSS: 0.00055728, TIME: 4236.3s
STEP [29480], EPOCH [18/100], ITER [1158/1666] 
LOSS: 0.00075983, TIME: 4239.2s
STEP [29500], EPOCH [18/100], ITER [1178/1666] 
LOSS: 0.00198949, TIME: 4242.0s
STEP [29520], EPOCH [18/100], ITER [1198/1666] 
LOSS: 0.00044990, TIME: 4244.9s
STEP [29540], EPOCH [18/100], ITER [1218/1666] 
LOSS: 0.00060031, TIME: 4247.7s
STEP [29560], EPOCH [18/100], ITER [1238/1666] 
LOSS: 0.00057516, TIME: 4250.6s
STEP [29580], EPOCH [18/100], ITER [1258/1666] 
LOSS: 0.00057462, TIME: 4253.4s
STEP [29600], EPOCH [18/100], ITER [1278/1666] 
LOSS: 0.00053466, TIME: 4256.3s
STEP [29620], EPOCH [18/100], ITER [1298/1666] 
LOSS: 0.00078458, TIME: 4259.1s
STEP [29640], EPOCH [18/100], ITER [1318/1666] 
LOSS: 0.00076695, TIME: 4262.0s
STEP [29660], EPOCH [18/100], ITER [1338/1666] 
LOSS: 0.00057444, TIME: 4264.9s
STEP [29680], EPOCH [18/100], ITER [1358/1666] 
LOSS: 0.00049180, TIME: 4267.7s
STEP [29700], EPOCH [18/100], ITER [1378/1666] 
LOSS: 0.00055347, TIME: 4270.6s
STEP [29720], EPOCH [18/100], ITER [1398/1666] 
LOSS: 0.00081159, TIME: 4273.4s
STEP [29740], EPOCH [18/100], ITER [1418/1666] 
LOSS: 0.00069048, TIME: 4276.3s
STEP [29760], EPOCH [18/100], ITER [1438/1666] 
LOSS: 0.00067181, TIME: 4279.1s
STEP [29780], EPOCH [18/100], ITER [1458/1666] 
LOSS: 0.00091376, TIME: 4282.0s
STEP [29800], EPOCH [18/100], ITER [1478/1666] 
LOSS: 0.00058842, TIME: 4284.8s
STEP [29820], EPOCH [18/100], ITER [1498/1666] 
LOSS: 0.00074635, TIME: 4287.7s
STEP [29840], EPOCH [18/100], ITER [1518/1666] 
LOSS: 0.00061107, TIME: 4290.5s
STEP [29860], EPOCH [18/100], ITER [1538/1666] 
LOSS: 0.00070093, TIME: 4293.4s
STEP [29880], EPOCH [18/100], ITER [1558/1666] 
LOSS: 0.00035162, TIME: 4296.2s
STEP [29900], EPOCH [18/100], ITER [1578/1666] 
LOSS: 0.00081918, TIME: 4299.1s
STEP [29920], EPOCH [18/100], ITER [1598/1666] 
LOSS: 0.00052103, TIME: 4302.0s
STEP [29940], EPOCH [18/100], ITER [1618/1666] 
LOSS: 0.00052152, TIME: 4304.8s
STEP [29960], EPOCH [18/100], ITER [1638/1666] 
LOSS: 0.00072338, TIME: 4307.7s
STEP [29980], EPOCH [18/100], ITER [1658/1666] 
LOSS: 0.00078223, TIME: 4310.5s
STEP [30000], EPOCH [19/100], ITER [12/1666] 
LOSS: 0.00070567, TIME: 4314.7s
STEP [30020], EPOCH [19/100], ITER [32/1666] 
LOSS: 0.00054394, TIME: 4317.7s
STEP [30040], EPOCH [19/100], ITER [52/1666] 
LOSS: 0.00055818, TIME: 4320.5s
STEP [30060], EPOCH [19/100], ITER [72/1666] 
LOSS: 0.00058539, TIME: 4323.4s
STEP [30080], EPOCH [19/100], ITER [92/1666] 
LOSS: 0.00116807, TIME: 4326.2s
STEP [30100], EPOCH [19/100], ITER [112/1666] 
LOSS: 0.00036342, TIME: 4329.1s
STEP [30120], EPOCH [19/100], ITER [132/1666] 
LOSS: 0.00081866, TIME: 4331.9s
STEP [30140], EPOCH [19/100], ITER [152/1666] 
LOSS: 0.00114277, TIME: 4334.8s
STEP [30160], EPOCH [19/100], ITER [172/1666] 
LOSS: 0.00041214, TIME: 4337.6s
STEP [30180], EPOCH [19/100], ITER [192/1666] 
LOSS: 0.00060343, TIME: 4340.5s
STEP [30200], EPOCH [19/100], ITER [212/1666] 
LOSS: 0.00047243, TIME: 4343.3s
STEP [30220], EPOCH [19/100], ITER [232/1666] 
LOSS: 0.00049305, TIME: 4346.2s
STEP [30240], EPOCH [19/100], ITER [252/1666] 
LOSS: 0.00128118, TIME: 4349.1s
STEP [30260], EPOCH [19/100], ITER [272/1666] 
LOSS: 0.00052854, TIME: 4351.9s
STEP [30280], EPOCH [19/100], ITER [292/1666] 
LOSS: 0.00076234, TIME: 4354.8s
STEP [30300], EPOCH [19/100], ITER [312/1666] 
LOSS: 0.00056081, TIME: 4357.6s
STEP [30320], EPOCH [19/100], ITER [332/1666] 
LOSS: 0.00053374, TIME: 4360.5s
STEP [30340], EPOCH [19/100], ITER [352/1666] 
LOSS: 0.00063822, TIME: 4363.3s
STEP [30360], EPOCH [19/100], ITER [372/1666] 
LOSS: 0.00067456, TIME: 4366.2s
STEP [30380], EPOCH [19/100], ITER [392/1666] 
LOSS: 0.00070965, TIME: 4369.0s
STEP [30400], EPOCH [19/100], ITER [412/1666] 
LOSS: 0.00081345, TIME: 4371.9s
STEP [30420], EPOCH [19/100], ITER [432/1666] 
LOSS: 0.00086233, TIME: 4374.7s
STEP [30440], EPOCH [19/100], ITER [452/1666] 
LOSS: 0.00080741, TIME: 4377.6s
STEP [30460], EPOCH [19/100], ITER [472/1666] 
LOSS: 0.00042331, TIME: 4380.4s
STEP [30480], EPOCH [19/100], ITER [492/1666] 
LOSS: 0.00030587, TIME: 4383.3s
STEP [30500], EPOCH [19/100], ITER [512/1666] 
LOSS: 0.00071737, TIME: 4386.1s
STEP [30520], EPOCH [19/100], ITER [532/1666] 
LOSS: 0.00058612, TIME: 4389.0s
STEP [30540], EPOCH [19/100], ITER [552/1666] 
LOSS: 0.00069511, TIME: 4391.9s
STEP [30560], EPOCH [19/100], ITER [572/1666] 
LOSS: 0.00057276, TIME: 4394.7s
STEP [30580], EPOCH [19/100], ITER [592/1666] 
LOSS: 0.00052639, TIME: 4397.6s
STEP [30600], EPOCH [19/100], ITER [612/1666] 
LOSS: 0.00059515, TIME: 4400.4s
STEP [30620], EPOCH [19/100], ITER [632/1666] 
LOSS: 0.00082870, TIME: 4403.3s
STEP [30640], EPOCH [19/100], ITER [652/1666] 
LOSS: 0.00047265, TIME: 4406.1s
STEP [30660], EPOCH [19/100], ITER [672/1666] 
LOSS: 0.00064510, TIME: 4409.0s
STEP [30680], EPOCH [19/100], ITER [692/1666] 
LOSS: 0.00087544, TIME: 4411.8s
STEP [30700], EPOCH [19/100], ITER [712/1666] 
LOSS: 0.00030110, TIME: 4414.7s
STEP [30720], EPOCH [19/100], ITER [732/1666] 
LOSS: 0.00072726, TIME: 4417.5s
STEP [30740], EPOCH [19/100], ITER [752/1666] 
LOSS: 0.00090945, TIME: 4420.4s
STEP [30760], EPOCH [19/100], ITER [772/1666] 
LOSS: 0.00051781, TIME: 4423.2s
STEP [30780], EPOCH [19/100], ITER [792/1666] 
LOSS: 0.00069016, TIME: 4426.1s
STEP [30800], EPOCH [19/100], ITER [812/1666] 
LOSS: 0.00101173, TIME: 4429.0s
STEP [30820], EPOCH [19/100], ITER [832/1666] 
LOSS: 0.00078074, TIME: 4431.8s
STEP [30840], EPOCH [19/100], ITER [852/1666] 
LOSS: 0.00056863, TIME: 4434.7s
STEP [30860], EPOCH [19/100], ITER [872/1666] 
LOSS: 0.00052901, TIME: 4437.5s
STEP [30880], EPOCH [19/100], ITER [892/1666] 
LOSS: 0.00059601, TIME: 4440.4s
STEP [30900], EPOCH [19/100], ITER [912/1666] 
LOSS: 0.00048601, TIME: 4443.2s
STEP [30920], EPOCH [19/100], ITER [932/1666] 
LOSS: 0.00086826, TIME: 4446.1s
STEP [30940], EPOCH [19/100], ITER [952/1666] 
LOSS: 0.00067483, TIME: 4448.9s
STEP [30960], EPOCH [19/100], ITER [972/1666] 
LOSS: 0.00072181, TIME: 4451.8s
STEP [30980], EPOCH [19/100], ITER [992/1666] 
LOSS: 0.00043209, TIME: 4454.7s
STEP [31000], EPOCH [19/100], ITER [1012/1666] 
LOSS: 0.00071251, TIME: 4457.5s
STEP [31020], EPOCH [19/100], ITER [1032/1666] 
LOSS: 0.00054058, TIME: 4460.4s
STEP [31040], EPOCH [19/100], ITER [1052/1666] 
LOSS: 0.00063375, TIME: 4463.3s
STEP [31060], EPOCH [19/100], ITER [1072/1666] 
LOSS: 0.00074226, TIME: 4466.1s
STEP [31080], EPOCH [19/100], ITER [1092/1666] 
LOSS: 0.00086890, TIME: 4469.0s
STEP [31100], EPOCH [19/100], ITER [1112/1666] 
LOSS: 0.00065110, TIME: 4471.8s
STEP [31120], EPOCH [19/100], ITER [1132/1666] 
LOSS: 0.00046161, TIME: 4474.7s
STEP [31140], EPOCH [19/100], ITER [1152/1666] 
LOSS: 0.00091481, TIME: 4477.6s
STEP [31160], EPOCH [19/100], ITER [1172/1666] 
LOSS: 0.00048675, TIME: 4480.4s
STEP [31180], EPOCH [19/100], ITER [1192/1666] 
LOSS: 0.00085160, TIME: 4483.3s
STEP [31200], EPOCH [19/100], ITER [1212/1666] 
LOSS: 0.00057623, TIME: 4486.1s
STEP [31220], EPOCH [19/100], ITER [1232/1666] 
LOSS: 0.00082883, TIME: 4489.0s
STEP [31240], EPOCH [19/100], ITER [1252/1666] 
LOSS: 0.00084688, TIME: 4491.8s
STEP [31260], EPOCH [19/100], ITER [1272/1666] 
LOSS: 0.00100985, TIME: 4494.7s
STEP [31280], EPOCH [19/100], ITER [1292/1666] 
LOSS: 0.00057804, TIME: 4497.5s
STEP [31300], EPOCH [19/100], ITER [1312/1666] 
LOSS: 0.00047383, TIME: 4500.4s
STEP [31320], EPOCH [19/100], ITER [1332/1666] 
LOSS: 0.00055860, TIME: 4503.2s
STEP [31340], EPOCH [19/100], ITER [1352/1666] 
LOSS: 0.00074884, TIME: 4506.1s
STEP [31360], EPOCH [19/100], ITER [1372/1666] 
LOSS: 0.00102910, TIME: 4509.0s
STEP [31380], EPOCH [19/100], ITER [1392/1666] 
LOSS: 0.00065945, TIME: 4511.8s
STEP [31400], EPOCH [19/100], ITER [1412/1666] 
LOSS: 0.00055117, TIME: 4514.7s
STEP [31420], EPOCH [19/100], ITER [1432/1666] 
LOSS: 0.00074256, TIME: 4517.5s
STEP [31440], EPOCH [19/100], ITER [1452/1666] 
LOSS: 0.00068782, TIME: 4520.4s
STEP [31460], EPOCH [19/100], ITER [1472/1666] 
LOSS: 0.00051379, TIME: 4523.2s
STEP [31480], EPOCH [19/100], ITER [1492/1666] 
LOSS: 0.00077169, TIME: 4526.1s
STEP [31500], EPOCH [19/100], ITER [1512/1666] 
LOSS: 0.00079580, TIME: 4528.9s
STEP [31520], EPOCH [19/100], ITER [1532/1666] 
LOSS: 0.00082806, TIME: 4531.8s
STEP [31540], EPOCH [19/100], ITER [1552/1666] 
LOSS: 0.00067972, TIME: 4534.6s
STEP [31560], EPOCH [19/100], ITER [1572/1666] 
LOSS: 0.00046864, TIME: 4537.5s
STEP [31580], EPOCH [19/100], ITER [1592/1666] 
LOSS: 0.00079370, TIME: 4540.3s
STEP [31600], EPOCH [19/100], ITER [1612/1666] 
LOSS: 0.00086897, TIME: 4543.2s
STEP [31620], EPOCH [19/100], ITER [1632/1666] 
LOSS: 0.00085223, TIME: 4546.1s
STEP [31640], EPOCH [19/100], ITER [1652/1666] 
LOSS: 0.00058948, TIME: 4548.9s
STEP [31660], EPOCH [20/100], ITER [6/1666] 
LOSS: 0.00065977, TIME: 4553.3s
STEP [31680], EPOCH [20/100], ITER [26/1666] 
LOSS: 0.00063830, TIME: 4556.2s
STEP [31700], EPOCH [20/100], ITER [46/1666] 
LOSS: 0.00068267, TIME: 4559.0s
STEP [31720], EPOCH [20/100], ITER [66/1666] 
LOSS: 0.00068943, TIME: 4561.9s
STEP [31740], EPOCH [20/100], ITER [86/1666] 
LOSS: 0.00044819, TIME: 4564.7s
STEP [31760], EPOCH [20/100], ITER [106/1666] 
LOSS: 0.00060562, TIME: 4567.6s
STEP [31780], EPOCH [20/100], ITER [126/1666] 
LOSS: 0.00078806, TIME: 4570.4s
STEP [31800], EPOCH [20/100], ITER [146/1666] 
LOSS: 0.00069080, TIME: 4573.3s
STEP [31820], EPOCH [20/100], ITER [166/1666] 
LOSS: 0.00058559, TIME: 4576.1s
STEP [31840], EPOCH [20/100], ITER [186/1666] 
LOSS: 0.00051205, TIME: 4579.0s
STEP [31860], EPOCH [20/100], ITER [206/1666] 
LOSS: 0.00068467, TIME: 4581.8s
STEP [31880], EPOCH [20/100], ITER [226/1666] 
LOSS: 0.00073057, TIME: 4584.7s
STEP [31900], EPOCH [20/100], ITER [246/1666] 
LOSS: 0.00057151, TIME: 4587.5s
STEP [31920], EPOCH [20/100], ITER [266/1666] 
LOSS: 0.00042835, TIME: 4590.4s
STEP [31940], EPOCH [20/100], ITER [286/1666] 
LOSS: 0.00079521, TIME: 4593.2s
STEP [31960], EPOCH [20/100], ITER [306/1666] 
LOSS: 0.00086651, TIME: 4596.1s
STEP [31980], EPOCH [20/100], ITER [326/1666] 
LOSS: 0.00055382, TIME: 4598.9s
STEP [32000], EPOCH [20/100], ITER [346/1666] 
LOSS: 0.00068756, TIME: 4601.8s
STEP [32020], EPOCH [20/100], ITER [366/1666] 
LOSS: 0.00073353, TIME: 4604.7s
STEP [32040], EPOCH [20/100], ITER [386/1666] 
LOSS: 0.00047461, TIME: 4607.6s
STEP [32060], EPOCH [20/100], ITER [406/1666] 
LOSS: 0.00054200, TIME: 4610.4s
STEP [32080], EPOCH [20/100], ITER [426/1666] 
LOSS: 0.00075400, TIME: 4613.3s
STEP [32100], EPOCH [20/100], ITER [446/1666] 
LOSS: 0.00060778, TIME: 4616.1s
STEP [32120], EPOCH [20/100], ITER [466/1666] 
LOSS: 0.00070530, TIME: 4619.0s
STEP [32140], EPOCH [20/100], ITER [486/1666] 
LOSS: 0.00049254, TIME: 4621.8s
STEP [32160], EPOCH [20/100], ITER [506/1666] 
LOSS: 0.00068540, TIME: 4624.7s
STEP [32180], EPOCH [20/100], ITER [526/1666] 
LOSS: 0.00065256, TIME: 4627.5s
STEP [32200], EPOCH [20/100], ITER [546/1666] 
LOSS: 0.00045231, TIME: 4630.4s
STEP [32220], EPOCH [20/100], ITER [566/1666] 
LOSS: 0.00049477, TIME: 4633.2s
STEP [32240], EPOCH [20/100], ITER [586/1666] 
LOSS: 0.00068263, TIME: 4636.1s
STEP [32260], EPOCH [20/100], ITER [606/1666] 
LOSS: 0.00085739, TIME: 4639.0s
STEP [32280], EPOCH [20/100], ITER [626/1666] 
LOSS: 0.00036605, TIME: 4641.8s
STEP [32300], EPOCH [20/100], ITER [646/1666] 
LOSS: 0.00092309, TIME: 4644.7s
STEP [32320], EPOCH [20/100], ITER [666/1666] 
LOSS: 0.00094692, TIME: 4647.5s
STEP [32340], EPOCH [20/100], ITER [686/1666] 
LOSS: 0.00049883, TIME: 4650.4s
STEP [32360], EPOCH [20/100], ITER [706/1666] 
LOSS: 0.00038225, TIME: 4653.2s
STEP [32380], EPOCH [20/100], ITER [726/1666] 
LOSS: 0.00058684, TIME: 4656.1s
STEP [32400], EPOCH [20/100], ITER [746/1666] 
LOSS: 0.00068264, TIME: 4658.9s
STEP [32420], EPOCH [20/100], ITER [766/1666] 
LOSS: 0.00074545, TIME: 4661.8s
STEP [32440], EPOCH [20/100], ITER [786/1666] 
LOSS: 0.00049051, TIME: 4664.6s
STEP [32460], EPOCH [20/100], ITER [806/1666] 
LOSS: 0.00111751, TIME: 4667.5s
STEP [32480], EPOCH [20/100], ITER [826/1666] 
LOSS: 0.00133974, TIME: 4670.3s
STEP [32500], EPOCH [20/100], ITER [846/1666] 
LOSS: 0.00075009, TIME: 4673.2s
STEP [32520], EPOCH [20/100], ITER [866/1666] 
LOSS: 0.00030651, TIME: 4676.0s
STEP [32540], EPOCH [20/100], ITER [886/1666] 
LOSS: 0.00067385, TIME: 4678.9s
STEP [32560], EPOCH [20/100], ITER [906/1666] 
LOSS: 0.00068149, TIME: 4681.7s
STEP [32580], EPOCH [20/100], ITER [926/1666] 
LOSS: 0.00054195, TIME: 4684.6s
STEP [32600], EPOCH [20/100], ITER [946/1666] 
LOSS: 0.00064646, TIME: 4687.5s
STEP [32620], EPOCH [20/100], ITER [966/1666] 
LOSS: 0.00063844, TIME: 4690.3s
STEP [32640], EPOCH [20/100], ITER [986/1666] 
LOSS: 0.00114106, TIME: 4693.2s
STEP [32660], EPOCH [20/100], ITER [1006/1666] 
LOSS: 0.00052280, TIME: 4696.0s
STEP [32680], EPOCH [20/100], ITER [1026/1666] 
LOSS: 0.00080305, TIME: 4698.9s
STEP [32700], EPOCH [20/100], ITER [1046/1666] 
LOSS: 0.00097997, TIME: 4701.7s
STEP [32720], EPOCH [20/100], ITER [1066/1666] 
LOSS: 0.00048714, TIME: 4704.6s
STEP [32740], EPOCH [20/100], ITER [1086/1666] 
LOSS: 0.00043954, TIME: 4707.4s
STEP [32760], EPOCH [20/100], ITER [1106/1666] 
LOSS: 0.00055483, TIME: 4710.3s
STEP [32780], EPOCH [20/100], ITER [1126/1666] 
LOSS: 0.00046657, TIME: 4713.1s
STEP [32800], EPOCH [20/100], ITER [1146/1666] 
LOSS: 0.00090088, TIME: 4716.0s
STEP [32820], EPOCH [20/100], ITER [1166/1666] 
LOSS: 0.00076219, TIME: 4718.8s
STEP [32840], EPOCH [20/100], ITER [1186/1666] 
LOSS: 0.00048673, TIME: 4721.7s
STEP [32860], EPOCH [20/100], ITER [1206/1666] 
LOSS: 0.00048480, TIME: 4724.5s
STEP [32880], EPOCH [20/100], ITER [1226/1666] 
LOSS: 0.00065283, TIME: 4727.4s
STEP [32900], EPOCH [20/100], ITER [1246/1666] 
LOSS: 0.00084465, TIME: 4730.2s
STEP [32920], EPOCH [20/100], ITER [1266/1666] 
LOSS: 0.00078706, TIME: 4733.1s
STEP [32940], EPOCH [20/100], ITER [1286/1666] 
LOSS: 0.00047276, TIME: 4735.9s
STEP [32960], EPOCH [20/100], ITER [1306/1666] 
LOSS: 0.00036558, TIME: 4738.8s
STEP [32980], EPOCH [20/100], ITER [1326/1666] 
LOSS: 0.00046842, TIME: 4741.6s
STEP [33000], EPOCH [20/100], ITER [1346/1666] 
LOSS: 0.00067320, TIME: 4744.5s
STEP [33020], EPOCH [20/100], ITER [1366/1666] 
LOSS: 0.00050102, TIME: 4747.4s
STEP [33040], EPOCH [20/100], ITER [1386/1666] 
LOSS: 0.00059143, TIME: 4750.3s
STEP [33060], EPOCH [20/100], ITER [1406/1666] 
LOSS: 0.00056322, TIME: 4753.1s
STEP [33080], EPOCH [20/100], ITER [1426/1666] 
LOSS: 0.00082709, TIME: 4756.0s
STEP [33100], EPOCH [20/100], ITER [1446/1666] 
LOSS: 0.00062007, TIME: 4758.8s
STEP [33120], EPOCH [20/100], ITER [1466/1666] 
LOSS: 0.00087876, TIME: 4761.7s
STEP [33140], EPOCH [20/100], ITER [1486/1666] 
LOSS: 0.00116717, TIME: 4764.5s
STEP [33160], EPOCH [20/100], ITER [1506/1666] 
LOSS: 0.00051707, TIME: 4767.4s
STEP [33180], EPOCH [20/100], ITER [1526/1666] 
LOSS: 0.00085309, TIME: 4770.2s
STEP [33200], EPOCH [20/100], ITER [1546/1666] 
LOSS: 0.00051149, TIME: 4773.1s
STEP [33220], EPOCH [20/100], ITER [1566/1666] 
LOSS: 0.00047913, TIME: 4776.0s
STEP [33240], EPOCH [20/100], ITER [1586/1666] 
LOSS: 0.00051045, TIME: 4778.8s
STEP [33260], EPOCH [20/100], ITER [1606/1666] 
LOSS: 0.00054253, TIME: 4781.7s
STEP [33280], EPOCH [20/100], ITER [1626/1666] 
LOSS: 0.00080710, TIME: 4784.5s
STEP [33300], EPOCH [20/100], ITER [1646/1666] 
LOSS: 0.00045668, TIME: 4787.4s
STEP [33320], EPOCH [20/100], ITER [1666/1666] 
LOSS: 0.00050902, TIME: 4790.2s
STEP [33340], EPOCH [21/100], ITER [20/1666] 
LOSS: 0.00092054, TIME: 4794.5s
STEP [33360], EPOCH [21/100], ITER [40/1666] 
LOSS: 0.00060696, TIME: 4797.3s
STEP [33380], EPOCH [21/100], ITER [60/1666] 
LOSS: 0.00070451, TIME: 4800.2s
STEP [33400], EPOCH [21/100], ITER [80/1666] 
LOSS: 0.00048426, TIME: 4803.0s
STEP [33420], EPOCH [21/100], ITER [100/1666] 
LOSS: 0.00046905, TIME: 4805.9s
STEP [33440], EPOCH [21/100], ITER [120/1666] 
LOSS: 0.00072057, TIME: 4808.8s
STEP [33460], EPOCH [21/100], ITER [140/1666] 
LOSS: 0.00074436, TIME: 4811.6s
STEP [33480], EPOCH [21/100], ITER [160/1666] 
LOSS: 0.00059840, TIME: 4814.5s
STEP [33500], EPOCH [21/100], ITER [180/1666] 
LOSS: 0.00051002, TIME: 4817.3s
STEP [33520], EPOCH [21/100], ITER [200/1666] 
LOSS: 0.00075038, TIME: 4820.2s
STEP [33540], EPOCH [21/100], ITER [220/1666] 
LOSS: 0.00041904, TIME: 4823.0s
STEP [33560], EPOCH [21/100], ITER [240/1666] 
LOSS: 0.00066484, TIME: 4825.9s
STEP [33580], EPOCH [21/100], ITER [260/1666] 
LOSS: 0.00077310, TIME: 4828.7s
STEP [33600], EPOCH [21/100], ITER [280/1666] 
LOSS: 0.00101984, TIME: 4831.6s
STEP [33620], EPOCH [21/100], ITER [300/1666] 
LOSS: 0.00064274, TIME: 4834.4s
STEP [33640], EPOCH [21/100], ITER [320/1666] 
LOSS: 0.00086864, TIME: 4837.3s
STEP [33660], EPOCH [21/100], ITER [340/1666] 
LOSS: 0.00069497, TIME: 4840.1s
STEP [33680], EPOCH [21/100], ITER [360/1666] 
LOSS: 0.00046070, TIME: 4843.0s
STEP [33700], EPOCH [21/100], ITER [380/1666] 
LOSS: 0.00075918, TIME: 4845.9s
STEP [33720], EPOCH [21/100], ITER [400/1666] 
LOSS: 0.00070422, TIME: 4848.7s
STEP [33740], EPOCH [21/100], ITER [420/1666] 
LOSS: 0.00048254, TIME: 4851.6s
STEP [33760], EPOCH [21/100], ITER [440/1666] 
LOSS: 0.00061762, TIME: 4854.4s
STEP [33780], EPOCH [21/100], ITER [460/1666] 
LOSS: 0.00093509, TIME: 4857.3s
STEP [33800], EPOCH [21/100], ITER [480/1666] 
LOSS: 0.00039274, TIME: 4860.1s
STEP [33820], EPOCH [21/100], ITER [500/1666] 
LOSS: 0.00055115, TIME: 4863.0s
STEP [33840], EPOCH [21/100], ITER [520/1666] 
LOSS: 0.00093442, TIME: 4865.8s
STEP [33860], EPOCH [21/100], ITER [540/1666] 
LOSS: 0.00046769, TIME: 4868.7s
STEP [33880], EPOCH [21/100], ITER [560/1666] 
LOSS: 0.00062879, TIME: 4871.5s
STEP [33900], EPOCH [21/100], ITER [580/1666] 
LOSS: 0.00068985, TIME: 4874.4s
STEP [33920], EPOCH [21/100], ITER [600/1666] 
LOSS: 0.00056515, TIME: 4877.3s
STEP [33940], EPOCH [21/100], ITER [620/1666] 
LOSS: 0.00056132, TIME: 4880.1s
STEP [33960], EPOCH [21/100], ITER [640/1666] 
LOSS: 0.00056975, TIME: 4883.0s
STEP [33980], EPOCH [21/100], ITER [660/1666] 
LOSS: 0.00052172, TIME: 4885.8s
STEP [34000], EPOCH [21/100], ITER [680/1666] 
LOSS: 0.00063252, TIME: 4888.7s
STEP [34020], EPOCH [21/100], ITER [700/1666] 
LOSS: 0.00061065, TIME: 4891.6s
STEP [34040], EPOCH [21/100], ITER [720/1666] 
LOSS: 0.00063420, TIME: 4894.5s
STEP [34060], EPOCH [21/100], ITER [740/1666] 
LOSS: 0.00037984, TIME: 4897.3s
STEP [34080], EPOCH [21/100], ITER [760/1666] 
LOSS: 0.00048012, TIME: 4900.2s
STEP [34100], EPOCH [21/100], ITER [780/1666] 
LOSS: 0.00082583, TIME: 4903.0s
STEP [34120], EPOCH [21/100], ITER [800/1666] 
LOSS: 0.00075959, TIME: 4905.9s
STEP [34140], EPOCH [21/100], ITER [820/1666] 
LOSS: 0.00124490, TIME: 4908.7s
STEP [34160], EPOCH [21/100], ITER [840/1666] 
LOSS: 0.00109821, TIME: 4911.6s
STEP [34180], EPOCH [21/100], ITER [860/1666] 
LOSS: 0.00066078, TIME: 4914.4s
STEP [34200], EPOCH [21/100], ITER [880/1666] 
LOSS: 0.00114731, TIME: 4917.3s
STEP [34220], EPOCH [21/100], ITER [900/1666] 
LOSS: 0.00093248, TIME: 4920.1s
STEP [34240], EPOCH [21/100], ITER [920/1666] 
LOSS: 0.00069692, TIME: 4923.0s
STEP [34260], EPOCH [21/100], ITER [940/1666] 
LOSS: 0.00049610, TIME: 4925.9s
STEP [34280], EPOCH [21/100], ITER [960/1666] 
LOSS: 0.00042230, TIME: 4928.7s
STEP [34300], EPOCH [21/100], ITER [980/1666] 
LOSS: 0.00054616, TIME: 4931.6s
STEP [34320], EPOCH [21/100], ITER [1000/1666] 
LOSS: 0.00068098, TIME: 4934.4s
STEP [34340], EPOCH [21/100], ITER [1020/1666] 
LOSS: 0.00103758, TIME: 4937.3s
STEP [34360], EPOCH [21/100], ITER [1040/1666] 
LOSS: 0.00091044, TIME: 4940.1s
STEP [34380], EPOCH [21/100], ITER [1060/1666] 
LOSS: 0.00064425, TIME: 4943.0s
STEP [34400], EPOCH [21/100], ITER [1080/1666] 
LOSS: 0.00067122, TIME: 4945.8s
STEP [34420], EPOCH [21/100], ITER [1100/1666] 
LOSS: 0.00092534, TIME: 4948.7s
STEP [34440], EPOCH [21/100], ITER [1120/1666] 
LOSS: 0.00080069, TIME: 4951.5s
STEP [34460], EPOCH [21/100], ITER [1140/1666] 
LOSS: 0.00062709, TIME: 4954.4s
STEP [34480], EPOCH [21/100], ITER [1160/1666] 
LOSS: 0.00075956, TIME: 4957.2s
STEP [34500], EPOCH [21/100], ITER [1180/1666] 
LOSS: 0.00050047, TIME: 4960.1s
STEP [34520], EPOCH [21/100], ITER [1200/1666] 
LOSS: 0.00075039, TIME: 4963.0s
STEP [34540], EPOCH [21/100], ITER [1220/1666] 
LOSS: 0.00060103, TIME: 4965.8s
STEP [34560], EPOCH [21/100], ITER [1240/1666] 
LOSS: 0.00072510, TIME: 4968.7s
STEP [34580], EPOCH [21/100], ITER [1260/1666] 
LOSS: 0.00059802, TIME: 4971.5s
STEP [34600], EPOCH [21/100], ITER [1280/1666] 
LOSS: 0.00054713, TIME: 4974.4s
STEP [34620], EPOCH [21/100], ITER [1300/1666] 
LOSS: 0.00060140, TIME: 4977.2s
STEP [34640], EPOCH [21/100], ITER [1320/1666] 
LOSS: 0.00042163, TIME: 4980.1s
STEP [34660], EPOCH [21/100], ITER [1340/1666] 
LOSS: 0.00076322, TIME: 4982.9s
STEP [34680], EPOCH [21/100], ITER [1360/1666] 
LOSS: 0.00064465, TIME: 4985.8s
STEP [34700], EPOCH [21/100], ITER [1380/1666] 
LOSS: 0.00081385, TIME: 4988.6s
STEP [34720], EPOCH [21/100], ITER [1400/1666] 
LOSS: 0.00084079, TIME: 4991.5s
STEP [34740], EPOCH [21/100], ITER [1420/1666] 
LOSS: 0.00059139, TIME: 4994.4s
STEP [34760], EPOCH [21/100], ITER [1440/1666] 
LOSS: 0.00098727, TIME: 4997.2s
STEP [34780], EPOCH [21/100], ITER [1460/1666] 
LOSS: 0.00099245, TIME: 5000.1s
STEP [34800], EPOCH [21/100], ITER [1480/1666] 
LOSS: 0.00071067, TIME: 5002.9s
STEP [34820], EPOCH [21/100], ITER [1500/1666] 
LOSS: 0.00070639, TIME: 5005.8s
STEP [34840], EPOCH [21/100], ITER [1520/1666] 
LOSS: 0.00099743, TIME: 5008.6s
STEP [34860], EPOCH [21/100], ITER [1540/1666] 
LOSS: 0.00065868, TIME: 5011.5s
STEP [34880], EPOCH [21/100], ITER [1560/1666] 
LOSS: 0.00044822, TIME: 5014.3s
STEP [34900], EPOCH [21/100], ITER [1580/1666] 
LOSS: 0.00050412, TIME: 5017.2s
STEP [34920], EPOCH [21/100], ITER [1600/1666] 
LOSS: 0.00053694, TIME: 5020.0s
STEP [34940], EPOCH [21/100], ITER [1620/1666] 
LOSS: 0.00092002, TIME: 5022.9s
STEP [34960], EPOCH [21/100], ITER [1640/1666] 
LOSS: 0.00053356, TIME: 5025.8s
STEP [34980], EPOCH [21/100], ITER [1660/1666] 
LOSS: 0.00067035, TIME: 5028.6s
STEP [35000], EPOCH [22/100], ITER [14/1666] 
LOSS: 0.00068203, TIME: 5032.8s
STEP [35020], EPOCH [22/100], ITER [34/1666] 
LOSS: 0.00055574, TIME: 5035.8s
STEP [35040], EPOCH [22/100], ITER [54/1666] 
LOSS: 0.00092302, TIME: 5038.6s
STEP [35060], EPOCH [22/100], ITER [74/1666] 
LOSS: 0.00114348, TIME: 5041.5s
STEP [35080], EPOCH [22/100], ITER [94/1666] 
LOSS: 0.00048670, TIME: 5044.3s
STEP [35100], EPOCH [22/100], ITER [114/1666] 
LOSS: 0.00044109, TIME: 5047.2s
STEP [35120], EPOCH [22/100], ITER [134/1666] 
LOSS: 0.00060292, TIME: 5050.0s
STEP [35140], EPOCH [22/100], ITER [154/1666] 
LOSS: 0.00072523, TIME: 5052.9s
STEP [35160], EPOCH [22/100], ITER [174/1666] 
LOSS: 0.00060993, TIME: 5055.8s
STEP [35180], EPOCH [22/100], ITER [194/1666] 
LOSS: 0.00055395, TIME: 5058.6s
STEP [35200], EPOCH [22/100], ITER [214/1666] 
LOSS: 0.00048672, TIME: 5061.5s
STEP [35220], EPOCH [22/100], ITER [234/1666] 
LOSS: 0.00054586, TIME: 5064.3s
STEP [35240], EPOCH [22/100], ITER [254/1666] 
LOSS: 0.00066866, TIME: 5067.2s
STEP [35260], EPOCH [22/100], ITER [274/1666] 
LOSS: 0.00063260, TIME: 5070.0s
STEP [35280], EPOCH [22/100], ITER [294/1666] 
LOSS: 0.00067824, TIME: 5072.9s
STEP [35300], EPOCH [22/100], ITER [314/1666] 
LOSS: 0.00053630, TIME: 5075.7s
STEP [35320], EPOCH [22/100], ITER [334/1666] 
LOSS: 0.00076624, TIME: 5078.6s
STEP [35340], EPOCH [22/100], ITER [354/1666] 
LOSS: 0.00095092, TIME: 5081.4s
STEP [35360], EPOCH [22/100], ITER [374/1666] 
LOSS: 0.00066810, TIME: 5084.3s
STEP [35380], EPOCH [22/100], ITER [394/1666] 
LOSS: 0.00063734, TIME: 5087.2s
STEP [35400], EPOCH [22/100], ITER [414/1666] 
LOSS: 0.00059835, TIME: 5090.0s
STEP [35420], EPOCH [22/100], ITER [434/1666] 
LOSS: 0.00085640, TIME: 5092.9s
STEP [35440], EPOCH [22/100], ITER [454/1666] 
LOSS: 0.00055017, TIME: 5095.7s
STEP [35460], EPOCH [22/100], ITER [474/1666] 
LOSS: 0.00056195, TIME: 5098.6s
STEP [35480], EPOCH [22/100], ITER [494/1666] 
LOSS: 0.00098874, TIME: 5101.4s
STEP [35500], EPOCH [22/100], ITER [514/1666] 
LOSS: 0.00071351, TIME: 5104.3s
STEP [35520], EPOCH [22/100], ITER [534/1666] 
LOSS: 0.00054824, TIME: 5107.1s
STEP [35540], EPOCH [22/100], ITER [554/1666] 
LOSS: 0.00043093, TIME: 5110.0s
STEP [35560], EPOCH [22/100], ITER [574/1666] 
LOSS: 0.00094387, TIME: 5112.8s
STEP [35580], EPOCH [22/100], ITER [594/1666] 
LOSS: 0.00055023, TIME: 5115.7s
STEP [35600], EPOCH [22/100], ITER [614/1666] 
LOSS: 0.00097560, TIME: 5118.6s
STEP [35620], EPOCH [22/100], ITER [634/1666] 
LOSS: 0.00047994, TIME: 5121.4s
STEP [35640], EPOCH [22/100], ITER [654/1666] 
LOSS: 0.00087158, TIME: 5124.3s
STEP [35660], EPOCH [22/100], ITER [674/1666] 
LOSS: 0.00052724, TIME: 5127.1s
STEP [35680], EPOCH [22/100], ITER [694/1666] 
LOSS: 0.00089799, TIME: 5130.0s
STEP [35700], EPOCH [22/100], ITER [714/1666] 
LOSS: 0.00075919, TIME: 5132.8s
STEP [35720], EPOCH [22/100], ITER [734/1666] 
LOSS: 0.00053150, TIME: 5135.7s
STEP [35740], EPOCH [22/100], ITER [754/1666] 
LOSS: 0.00062470, TIME: 5138.5s
STEP [35760], EPOCH [22/100], ITER [774/1666] 
LOSS: 0.00052230, TIME: 5141.4s
STEP [35780], EPOCH [22/100], ITER [794/1666] 
LOSS: 0.00072847, TIME: 5144.2s
STEP [35800], EPOCH [22/100], ITER [814/1666] 
LOSS: 0.00044167, TIME: 5147.1s
STEP [35820], EPOCH [22/100], ITER [834/1666] 
LOSS: 0.00082802, TIME: 5150.0s
STEP [35840], EPOCH [22/100], ITER [854/1666] 
LOSS: 0.00061688, TIME: 5152.8s
STEP [35860], EPOCH [22/100], ITER [874/1666] 
LOSS: 0.00089651, TIME: 5155.7s
STEP [35880], EPOCH [22/100], ITER [894/1666] 
LOSS: 0.00055118, TIME: 5158.5s
STEP [35900], EPOCH [22/100], ITER [914/1666] 
LOSS: 0.00060975, TIME: 5161.4s
STEP [35920], EPOCH [22/100], ITER [934/1666] 
LOSS: 0.00074214, TIME: 5164.2s
STEP [35940], EPOCH [22/100], ITER [954/1666] 
LOSS: 0.00049016, TIME: 5167.1s
STEP [35960], EPOCH [22/100], ITER [974/1666] 
LOSS: 0.00047205, TIME: 5169.9s
STEP [35980], EPOCH [22/100], ITER [994/1666] 
LOSS: 0.00047450, TIME: 5172.8s
STEP [36000], EPOCH [22/100], ITER [1014/1666] 
LOSS: 0.00053789, TIME: 5175.6s
STEP [36020], EPOCH [22/100], ITER [1034/1666] 
LOSS: 0.00051189, TIME: 5178.6s
STEP [36040], EPOCH [22/100], ITER [1054/1666] 
LOSS: 0.00053043, TIME: 5181.4s
STEP [36060], EPOCH [22/100], ITER [1074/1666] 
LOSS: 0.00069683, TIME: 5184.3s
STEP [36080], EPOCH [22/100], ITER [1094/1666] 
LOSS: 0.00063788, TIME: 5187.1s
STEP [36100], EPOCH [22/100], ITER [1114/1666] 
LOSS: 0.00138125, TIME: 5190.0s
STEP [36120], EPOCH [22/100], ITER [1134/1666] 
LOSS: 0.00085290, TIME: 5192.8s
STEP [36140], EPOCH [22/100], ITER [1154/1666] 
LOSS: 0.00075160, TIME: 5195.7s
STEP [36160], EPOCH [22/100], ITER [1174/1666] 
LOSS: 0.00061081, TIME: 5198.5s
STEP [36180], EPOCH [22/100], ITER [1194/1666] 
LOSS: 0.00070524, TIME: 5201.4s
STEP [36200], EPOCH [22/100], ITER [1214/1666] 
LOSS: 0.00040012, TIME: 5204.2s
STEP [36220], EPOCH [22/100], ITER [1234/1666] 
LOSS: 0.00089458, TIME: 5207.1s
STEP [36240], EPOCH [22/100], ITER [1254/1666] 
LOSS: 0.00124648, TIME: 5210.0s
STEP [36260], EPOCH [22/100], ITER [1274/1666] 
LOSS: 0.00036292, TIME: 5212.8s
STEP [36280], EPOCH [22/100], ITER [1294/1666] 
LOSS: 0.00041372, TIME: 5215.7s
STEP [36300], EPOCH [22/100], ITER [1314/1666] 
LOSS: 0.00049731, TIME: 5218.5s
STEP [36320], EPOCH [22/100], ITER [1334/1666] 
LOSS: 0.00054405, TIME: 5221.4s
STEP [36340], EPOCH [22/100], ITER [1354/1666] 
LOSS: 0.00036725, TIME: 5224.2s
STEP [36360], EPOCH [22/100], ITER [1374/1666] 
LOSS: 0.00089412, TIME: 5227.1s
STEP [36380], EPOCH [22/100], ITER [1394/1666] 
LOSS: 0.00095034, TIME: 5229.9s
STEP [36400], EPOCH [22/100], ITER [1414/1666] 
LOSS: 0.00054461, TIME: 5232.8s
STEP [36420], EPOCH [22/100], ITER [1434/1666] 
LOSS: 0.00067749, TIME: 5235.6s
STEP [36440], EPOCH [22/100], ITER [1454/1666] 
LOSS: 0.00067388, TIME: 5238.5s
STEP [36460], EPOCH [22/100], ITER [1474/1666] 
LOSS: 0.00094944, TIME: 5241.3s
STEP [36480], EPOCH [22/100], ITER [1494/1666] 
LOSS: 0.00039108, TIME: 5244.2s
STEP [36500], EPOCH [22/100], ITER [1514/1666] 
LOSS: 0.00099190, TIME: 5247.0s
STEP [36520], EPOCH [22/100], ITER [1534/1666] 
LOSS: 0.00073064, TIME: 5249.9s
STEP [36540], EPOCH [22/100], ITER [1554/1666] 
LOSS: 0.00062958, TIME: 5252.7s
STEP [36560], EPOCH [22/100], ITER [1574/1666] 
LOSS: 0.00055950, TIME: 5255.6s
STEP [36580], EPOCH [22/100], ITER [1594/1666] 
LOSS: 0.00054644, TIME: 5258.4s
STEP [36600], EPOCH [22/100], ITER [1614/1666] 
LOSS: 0.00075686, TIME: 5261.3s
STEP [36620], EPOCH [22/100], ITER [1634/1666] 
LOSS: 0.00075384, TIME: 5264.2s
STEP [36640], EPOCH [22/100], ITER [1654/1666] 
LOSS: 0.00055652, TIME: 5267.0s
STEP [36660], EPOCH [23/100], ITER [8/1666] 
LOSS: 0.00107354, TIME: 5271.3s
STEP [36680], EPOCH [23/100], ITER [28/1666] 
LOSS: 0.00055434, TIME: 5274.1s
STEP [36700], EPOCH [23/100], ITER [48/1666] 
LOSS: 0.00051550, TIME: 5277.0s
STEP [36720], EPOCH [23/100], ITER [68/1666] 
LOSS: 0.00079506, TIME: 5279.8s
STEP [36740], EPOCH [23/100], ITER [88/1666] 
LOSS: 0.00042583, TIME: 5282.7s
STEP [36760], EPOCH [23/100], ITER [108/1666] 
LOSS: 0.00068037, TIME: 5285.5s
STEP [36780], EPOCH [23/100], ITER [128/1666] 
LOSS: 0.00079598, TIME: 5288.4s
STEP [36800], EPOCH [23/100], ITER [148/1666] 
LOSS: 0.00057868, TIME: 5291.2s
STEP [36820], EPOCH [23/100], ITER [168/1666] 
LOSS: 0.00068293, TIME: 5294.1s
STEP [36840], EPOCH [23/100], ITER [188/1666] 
LOSS: 0.00085217, TIME: 5296.9s
STEP [36860], EPOCH [23/100], ITER [208/1666] 
LOSS: 0.00053818, TIME: 5299.8s
STEP [36880], EPOCH [23/100], ITER [228/1666] 
LOSS: 0.00099288, TIME: 5302.7s
STEP [36900], EPOCH [23/100], ITER [248/1666] 
LOSS: 0.00071591, TIME: 5305.5s
STEP [36920], EPOCH [23/100], ITER [268/1666] 
LOSS: 0.00085747, TIME: 5308.4s
STEP [36940], EPOCH [23/100], ITER [288/1666] 
LOSS: 0.00070355, TIME: 5311.2s
STEP [36960], EPOCH [23/100], ITER [308/1666] 
LOSS: 0.00066473, TIME: 5314.1s
STEP [36980], EPOCH [23/100], ITER [328/1666] 
LOSS: 0.00065965, TIME: 5316.9s
STEP [37000], EPOCH [23/100], ITER [348/1666] 
LOSS: 0.00087111, TIME: 5319.8s
STEP [37020], EPOCH [23/100], ITER [368/1666] 
LOSS: 0.00079890, TIME: 5322.7s
STEP [37040], EPOCH [23/100], ITER [388/1666] 
LOSS: 0.00058029, TIME: 5325.6s
STEP [37060], EPOCH [23/100], ITER [408/1666] 
LOSS: 0.00053833, TIME: 5328.4s
STEP [37080], EPOCH [23/100], ITER [428/1666] 
LOSS: 0.00050330, TIME: 5331.3s
STEP [37100], EPOCH [23/100], ITER [448/1666] 
LOSS: 0.00075988, TIME: 5334.1s
STEP [37120], EPOCH [23/100], ITER [468/1666] 
LOSS: 0.00054079, TIME: 5337.0s
STEP [37140], EPOCH [23/100], ITER [488/1666] 
LOSS: 0.00081309, TIME: 5339.8s
STEP [37160], EPOCH [23/100], ITER [508/1666] 
LOSS: 0.00075772, TIME: 5342.7s
STEP [37180], EPOCH [23/100], ITER [528/1666] 
LOSS: 0.00062500, TIME: 5345.5s
STEP [37200], EPOCH [23/100], ITER [548/1666] 
LOSS: 0.00060822, TIME: 5348.4s
STEP [37220], EPOCH [23/100], ITER [568/1666] 
LOSS: 0.00082047, TIME: 5351.3s
STEP [37240], EPOCH [23/100], ITER [588/1666] 
LOSS: 0.00053700, TIME: 5354.1s
STEP [37260], EPOCH [23/100], ITER [608/1666] 
LOSS: 0.00080623, TIME: 5357.0s
STEP [37280], EPOCH [23/100], ITER [628/1666] 
LOSS: 0.00060377, TIME: 5359.8s
STEP [37300], EPOCH [23/100], ITER [648/1666] 
LOSS: 0.00085064, TIME: 5362.7s
STEP [37320], EPOCH [23/100], ITER [668/1666] 
LOSS: 0.00058950, TIME: 5365.5s
STEP [37340], EPOCH [23/100], ITER [688/1666] 
LOSS: 0.00093355, TIME: 5368.4s
STEP [37360], EPOCH [23/100], ITER [708/1666] 
LOSS: 0.00044374, TIME: 5371.2s
STEP [37380], EPOCH [23/100], ITER [728/1666] 
LOSS: 0.00058983, TIME: 5374.1s
STEP [37400], EPOCH [23/100], ITER [748/1666] 
LOSS: 0.00065680, TIME: 5376.9s
STEP [37420], EPOCH [23/100], ITER [768/1666] 
LOSS: 0.00040394, TIME: 5379.8s
STEP [37440], EPOCH [23/100], ITER [788/1666] 
LOSS: 0.00060865, TIME: 5382.6s
STEP [37460], EPOCH [23/100], ITER [808/1666] 
LOSS: 0.00096725, TIME: 5385.5s
STEP [37480], EPOCH [23/100], ITER [828/1666] 
LOSS: 0.00075485, TIME: 5388.4s
STEP [37500], EPOCH [23/100], ITER [848/1666] 
LOSS: 0.00057533, TIME: 5391.2s
STEP [37520], EPOCH [23/100], ITER [868/1666] 
LOSS: 0.00046994, TIME: 5394.1s
STEP [37540], EPOCH [23/100], ITER [888/1666] 
LOSS: 0.00067516, TIME: 5396.9s
STEP [37560], EPOCH [23/100], ITER [908/1666] 
LOSS: 0.00055415, TIME: 5399.8s
STEP [37580], EPOCH [23/100], ITER [928/1666] 
LOSS: 0.00070690, TIME: 5402.6s
STEP [37600], EPOCH [23/100], ITER [948/1666] 
LOSS: 0.00059502, TIME: 5405.5s
STEP [37620], EPOCH [23/100], ITER [968/1666] 
LOSS: 0.00091206, TIME: 5408.3s
STEP [37640], EPOCH [23/100], ITER [988/1666] 
LOSS: 0.00097485, TIME: 5411.2s
STEP [37660], EPOCH [23/100], ITER [1008/1666] 
LOSS: 0.00059625, TIME: 5414.0s
STEP [37680], EPOCH [23/100], ITER [1028/1666] 
LOSS: 0.00069264, TIME: 5416.9s
STEP [37700], EPOCH [23/100], ITER [1048/1666] 
LOSS: 0.00065116, TIME: 5419.7s
STEP [37720], EPOCH [23/100], ITER [1068/1666] 
LOSS: 0.00092021, TIME: 5422.6s
STEP [37740], EPOCH [23/100], ITER [1088/1666] 
LOSS: 0.00069908, TIME: 5425.5s
STEP [37760], EPOCH [23/100], ITER [1108/1666] 
LOSS: 0.00056917, TIME: 5428.3s
STEP [37780], EPOCH [23/100], ITER [1128/1666] 
LOSS: 0.00071824, TIME: 5431.2s
STEP [37800], EPOCH [23/100], ITER [1148/1666] 
LOSS: 0.00052649, TIME: 5434.0s
STEP [37820], EPOCH [23/100], ITER [1168/1666] 
LOSS: 0.00065881, TIME: 5436.9s
STEP [37840], EPOCH [23/100], ITER [1188/1666] 
LOSS: 0.00077313, TIME: 5439.7s
STEP [37860], EPOCH [23/100], ITER [1208/1666] 
LOSS: 0.00072345, TIME: 5442.6s
STEP [37880], EPOCH [23/100], ITER [1228/1666] 
LOSS: 0.00063736, TIME: 5445.4s
STEP [37900], EPOCH [23/100], ITER [1248/1666] 
LOSS: 0.00100525, TIME: 5448.3s
STEP [37920], EPOCH [23/100], ITER [1268/1666] 
LOSS: 0.00038450, TIME: 5451.2s
STEP [37940], EPOCH [23/100], ITER [1288/1666] 
LOSS: 0.00071757, TIME: 5454.0s
STEP [37960], EPOCH [23/100], ITER [1308/1666] 
LOSS: 0.00063128, TIME: 5456.9s
STEP [37980], EPOCH [23/100], ITER [1328/1666] 
LOSS: 0.00094450, TIME: 5459.7s
STEP [38000], EPOCH [23/100], ITER [1348/1666] 
LOSS: 0.00062818, TIME: 5462.6s
STEP [38020], EPOCH [23/100], ITER [1368/1666] 
LOSS: 0.00114695, TIME: 5465.5s
STEP [38040], EPOCH [23/100], ITER [1388/1666] 
LOSS: 0.00059976, TIME: 5468.3s
STEP [38060], EPOCH [23/100], ITER [1408/1666] 
LOSS: 0.00058409, TIME: 5471.2s
STEP [38080], EPOCH [23/100], ITER [1428/1666] 
LOSS: 0.00110331, TIME: 5474.1s
STEP [38100], EPOCH [23/100], ITER [1448/1666] 
LOSS: 0.00073391, TIME: 5476.9s
STEP [38120], EPOCH [23/100], ITER [1468/1666] 
LOSS: 0.00040314, TIME: 5479.8s
STEP [38140], EPOCH [23/100], ITER [1488/1666] 
LOSS: 0.00080834, TIME: 5482.6s
STEP [38160], EPOCH [23/100], ITER [1508/1666] 
LOSS: 0.00041914, TIME: 5485.5s
STEP [38180], EPOCH [23/100], ITER [1528/1666] 
LOSS: 0.00143072, TIME: 5488.3s
STEP [38200], EPOCH [23/100], ITER [1548/1666] 
LOSS: 0.00050354, TIME: 5491.2s
STEP [38220], EPOCH [23/100], ITER [1568/1666] 
LOSS: 0.00114099, TIME: 5494.0s
STEP [38240], EPOCH [23/100], ITER [1588/1666] 
LOSS: 0.00059150, TIME: 5496.9s
STEP [38260], EPOCH [23/100], ITER [1608/1666] 
LOSS: 0.00055705, TIME: 5499.7s
STEP [38280], EPOCH [23/100], ITER [1628/1666] 
LOSS: 0.00076645, TIME: 5502.6s
STEP [38300], EPOCH [23/100], ITER [1648/1666] 
LOSS: 0.00064453, TIME: 5505.4s
STEP [38320], EPOCH [24/100], ITER [2/1666] 
LOSS: 0.00072373, TIME: 5509.7s
STEP [38340], EPOCH [24/100], ITER [22/1666] 
LOSS: 0.00058981, TIME: 5512.5s
STEP [38360], EPOCH [24/100], ITER [42/1666] 
LOSS: 0.00065233, TIME: 5515.4s
STEP [38380], EPOCH [24/100], ITER [62/1666] 
LOSS: 0.00055726, TIME: 5518.2s
STEP [38400], EPOCH [24/100], ITER [82/1666] 
LOSS: 0.00067824, TIME: 5521.1s
STEP [38420], EPOCH [24/100], ITER [102/1666] 
LOSS: 0.00062341, TIME: 5523.9s
STEP [38440], EPOCH [24/100], ITER [122/1666] 
LOSS: 0.00045677, TIME: 5526.8s
STEP [38460], EPOCH [24/100], ITER [142/1666] 
LOSS: 0.00046489, TIME: 5529.7s
STEP [38480], EPOCH [24/100], ITER [162/1666] 
LOSS: 0.00063113, TIME: 5532.5s
STEP [38500], EPOCH [24/100], ITER [182/1666] 
LOSS: 0.00073087, TIME: 5535.4s
STEP [38520], EPOCH [24/100], ITER [202/1666] 
LOSS: 0.00058566, TIME: 5538.2s
STEP [38540], EPOCH [24/100], ITER [222/1666] 
LOSS: 0.00089852, TIME: 5541.1s
STEP [38560], EPOCH [24/100], ITER [242/1666] 
LOSS: 0.00043337, TIME: 5543.9s
STEP [38580], EPOCH [24/100], ITER [262/1666] 
LOSS: 0.00049683, TIME: 5546.8s
STEP [38600], EPOCH [24/100], ITER [282/1666] 
LOSS: 0.00075754, TIME: 5549.6s
STEP [38620], EPOCH [24/100], ITER [302/1666] 
LOSS: 0.00088518, TIME: 5552.5s
STEP [38640], EPOCH [24/100], ITER [322/1666] 
LOSS: 0.00033203, TIME: 5555.3s
STEP [38660], EPOCH [24/100], ITER [342/1666] 
LOSS: 0.00062482, TIME: 5558.2s
STEP [38680], EPOCH [24/100], ITER [362/1666] 
LOSS: 0.00069756, TIME: 5561.0s
STEP [38700], EPOCH [24/100], ITER [382/1666] 
LOSS: 0.00056660, TIME: 5563.9s
STEP [38720], EPOCH [24/100], ITER [402/1666] 
LOSS: 0.00060470, TIME: 5566.8s
STEP [38740], EPOCH [24/100], ITER [422/1666] 
LOSS: 0.00048473, TIME: 5569.6s
STEP [38760], EPOCH [24/100], ITER [442/1666] 
LOSS: 0.00087494, TIME: 5572.5s
STEP [38780], EPOCH [24/100], ITER [462/1666] 
LOSS: 0.00052512, TIME: 5575.3s
STEP [38800], EPOCH [24/100], ITER [482/1666] 
LOSS: 0.00048510, TIME: 5578.2s
STEP [38820], EPOCH [24/100], ITER [502/1666] 
LOSS: 0.00070963, TIME: 5581.0s
STEP [38840], EPOCH [24/100], ITER [522/1666] 
LOSS: 0.00052829, TIME: 5583.9s
STEP [38860], EPOCH [24/100], ITER [542/1666] 
LOSS: 0.00058748, TIME: 5586.7s
STEP [38880], EPOCH [24/100], ITER [562/1666] 
LOSS: 0.00096450, TIME: 5589.6s
STEP [38900], EPOCH [24/100], ITER [582/1666] 
LOSS: 0.00058301, TIME: 5592.4s
STEP [38920], EPOCH [24/100], ITER [602/1666] 
LOSS: 0.00054401, TIME: 5595.3s
STEP [38940], EPOCH [24/100], ITER [622/1666] 
LOSS: 0.00039097, TIME: 5598.1s
STEP [38960], EPOCH [24/100], ITER [642/1666] 
LOSS: 0.00063412, TIME: 5601.0s
STEP [38980], EPOCH [24/100], ITER [662/1666] 
LOSS: 0.00123865, TIME: 5603.8s
STEP [39000], EPOCH [24/100], ITER [682/1666] 
LOSS: 0.00075623, TIME: 5606.7s
STEP [39020], EPOCH [24/100], ITER [702/1666] 
LOSS: 0.00082969, TIME: 5609.6s
STEP [39040], EPOCH [24/100], ITER [722/1666] 
LOSS: 0.00080054, TIME: 5612.5s
STEP [39060], EPOCH [24/100], ITER [742/1666] 
LOSS: 0.00063707, TIME: 5615.3s
STEP [39080], EPOCH [24/100], ITER [762/1666] 
LOSS: 0.00046527, TIME: 5618.2s
STEP [39100], EPOCH [24/100], ITER [782/1666] 
LOSS: 0.00079934, TIME: 5621.0s
STEP [39120], EPOCH [24/100], ITER [802/1666] 
LOSS: 0.00069514, TIME: 5623.9s
STEP [39140], EPOCH [24/100], ITER [822/1666] 
LOSS: 0.00072578, TIME: 5626.7s
STEP [39160], EPOCH [24/100], ITER [842/1666] 
LOSS: 0.00056066, TIME: 5629.6s
STEP [39180], EPOCH [24/100], ITER [862/1666] 
LOSS: 0.00036364, TIME: 5632.4s
STEP [39200], EPOCH [24/100], ITER [882/1666] 
LOSS: 0.00044423, TIME: 5635.3s
STEP [39220], EPOCH [24/100], ITER [902/1666] 
LOSS: 0.00064035, TIME: 5638.1s
STEP [39240], EPOCH [24/100], ITER [922/1666] 
LOSS: 0.00088474, TIME: 5641.0s
STEP [39260], EPOCH [24/100], ITER [942/1666] 
LOSS: 0.00040774, TIME: 5643.9s
STEP [39280], EPOCH [24/100], ITER [962/1666] 
LOSS: 0.00060275, TIME: 5646.7s
STEP [39300], EPOCH [24/100], ITER [982/1666] 
LOSS: 0.00057726, TIME: 5649.6s
STEP [39320], EPOCH [24/100], ITER [1002/1666] 
LOSS: 0.00133945, TIME: 5652.4s
STEP [39340], EPOCH [24/100], ITER [1022/1666] 
LOSS: 0.00099961, TIME: 5655.3s
STEP [39360], EPOCH [24/100], ITER [1042/1666] 
LOSS: 0.00071706, TIME: 5658.1s
STEP [39380], EPOCH [24/100], ITER [1062/1666] 
LOSS: 0.00054675, TIME: 5661.0s
STEP [39400], EPOCH [24/100], ITER [1082/1666] 
LOSS: 0.00043181, TIME: 5663.8s
STEP [39420], EPOCH [24/100], ITER [1102/1666] 
LOSS: 0.00064173, TIME: 5666.7s
STEP [39440], EPOCH [24/100], ITER [1122/1666] 
LOSS: 0.00061325, TIME: 5669.5s
STEP [39460], EPOCH [24/100], ITER [1142/1666] 
LOSS: 0.00033555, TIME: 5672.4s
STEP [39480], EPOCH [24/100], ITER [1162/1666] 
LOSS: 0.00094287, TIME: 5675.2s
STEP [39500], EPOCH [24/100], ITER [1182/1666] 
LOSS: 0.00074213, TIME: 5678.1s
STEP [39520], EPOCH [24/100], ITER [1202/1666] 
LOSS: 0.00059389, TIME: 5680.9s
STEP [39540], EPOCH [24/100], ITER [1222/1666] 
LOSS: 0.00039232, TIME: 5683.8s
STEP [39560], EPOCH [24/100], ITER [1242/1666] 
LOSS: 0.00062075, TIME: 5686.6s
STEP [39580], EPOCH [24/100], ITER [1262/1666] 
LOSS: 0.00080913, TIME: 5689.5s
STEP [39600], EPOCH [24/100], ITER [1282/1666] 
LOSS: 0.00057547, TIME: 5692.3s
STEP [39620], EPOCH [24/100], ITER [1302/1666] 
LOSS: 0.00045231, TIME: 5695.2s
STEP [39640], EPOCH [24/100], ITER [1322/1666] 
LOSS: 0.00102178, TIME: 5698.0s
STEP [39660], EPOCH [24/100], ITER [1342/1666] 
LOSS: 0.00065454, TIME: 5700.9s
STEP [39680], EPOCH [24/100], ITER [1362/1666] 
LOSS: 0.00076958, TIME: 5703.8s
STEP [39700], EPOCH [24/100], ITER [1382/1666] 
LOSS: 0.00068315, TIME: 5706.6s
STEP [39720], EPOCH [24/100], ITER [1402/1666] 
LOSS: 0.00054727, TIME: 5709.5s
STEP [39740], EPOCH [24/100], ITER [1422/1666] 
LOSS: 0.00069221, TIME: 5712.3s
STEP [39760], EPOCH [24/100], ITER [1442/1666] 
LOSS: 0.00072308, TIME: 5715.2s
STEP [39780], EPOCH [24/100], ITER [1462/1666] 
LOSS: 0.00048139, TIME: 5718.0s
STEP [39800], EPOCH [24/100], ITER [1482/1666] 
LOSS: 0.00075347, TIME: 5720.9s
STEP [39820], EPOCH [24/100], ITER [1502/1666] 
LOSS: 0.00064382, TIME: 5723.7s
STEP [39840], EPOCH [24/100], ITER [1522/1666] 
LOSS: 0.00051201, TIME: 5726.6s
STEP [39860], EPOCH [24/100], ITER [1542/1666] 
LOSS: 0.00052437, TIME: 5729.4s
STEP [39880], EPOCH [24/100], ITER [1562/1666] 
LOSS: 0.00069450, TIME: 5732.3s
STEP [39900], EPOCH [24/100], ITER [1582/1666] 
LOSS: 0.00064604, TIME: 5735.1s
STEP [39920], EPOCH [24/100], ITER [1602/1666] 
LOSS: 0.00076583, TIME: 5738.0s
STEP [39940], EPOCH [24/100], ITER [1622/1666] 
LOSS: 0.00082257, TIME: 5740.8s
STEP [39960], EPOCH [24/100], ITER [1642/1666] 
LOSS: 0.00049838, TIME: 5743.7s
STEP [39980], EPOCH [24/100], ITER [1662/1666] 
LOSS: 0.00056991, TIME: 5746.5s
STEP [40000], EPOCH [25/100], ITER [16/1666] 
LOSS: 0.00062207, TIME: 5750.8s
STEP [40020], EPOCH [25/100], ITER [36/1666] 
LOSS: 0.00068984, TIME: 5753.8s
STEP [40040], EPOCH [25/100], ITER [56/1666] 
LOSS: 0.00078355, TIME: 5756.6s
STEP [40060], EPOCH [25/100], ITER [76/1666] 
LOSS: 0.00088534, TIME: 5759.5s
STEP [40080], EPOCH [25/100], ITER [96/1666] 
LOSS: 0.00064105, TIME: 5762.3s
STEP [40100], EPOCH [25/100], ITER [116/1666] 
LOSS: 0.00067638, TIME: 5765.2s
STEP [40120], EPOCH [25/100], ITER [136/1666] 
LOSS: 0.00061594, TIME: 5768.0s
STEP [40140], EPOCH [25/100], ITER [156/1666] 
LOSS: 0.00073855, TIME: 5770.9s
STEP [40160], EPOCH [25/100], ITER [176/1666] 
LOSS: 0.00091378, TIME: 5773.7s
STEP [40180], EPOCH [25/100], ITER [196/1666] 
LOSS: 0.00079269, TIME: 5776.6s
STEP [40200], EPOCH [25/100], ITER [216/1666] 
LOSS: 0.00062684, TIME: 5779.4s
STEP [40220], EPOCH [25/100], ITER [236/1666] 
LOSS: 0.00078545, TIME: 5782.3s
STEP [40240], EPOCH [25/100], ITER [256/1666] 
LOSS: 0.00090502, TIME: 5785.1s
STEP [40260], EPOCH [25/100], ITER [276/1666] 
LOSS: 0.00050198, TIME: 5788.0s
STEP [40280], EPOCH [25/100], ITER [296/1666] 
LOSS: 0.00091369, TIME: 5790.9s
STEP [40300], EPOCH [25/100], ITER [316/1666] 
LOSS: 0.00053481, TIME: 5793.7s
STEP [40320], EPOCH [25/100], ITER [336/1666] 
LOSS: 0.00077661, TIME: 5796.6s
STEP [40340], EPOCH [25/100], ITER [356/1666] 
LOSS: 0.00077253, TIME: 5799.4s
STEP [40360], EPOCH [25/100], ITER [376/1666] 
LOSS: 0.00020884, TIME: 5802.3s
STEP [40380], EPOCH [25/100], ITER [396/1666] 
LOSS: 0.00053666, TIME: 5805.1s
STEP [40400], EPOCH [25/100], ITER [416/1666] 
LOSS: 0.00062726, TIME: 5808.0s
STEP [40420], EPOCH [25/100], ITER [436/1666] 
LOSS: 0.00089377, TIME: 5810.8s
STEP [40440], EPOCH [25/100], ITER [456/1666] 
LOSS: 0.00053577, TIME: 5813.7s
STEP [40460], EPOCH [25/100], ITER [476/1666] 
LOSS: 0.00057481, TIME: 5816.5s
STEP [40480], EPOCH [25/100], ITER [496/1666] 
LOSS: 0.00118959, TIME: 5819.4s
STEP [40500], EPOCH [25/100], ITER [516/1666] 
LOSS: 0.00047189, TIME: 5822.2s
STEP [40520], EPOCH [25/100], ITER [536/1666] 
LOSS: 0.00051915, TIME: 5825.1s
STEP [40540], EPOCH [25/100], ITER [556/1666] 
LOSS: 0.00058016, TIME: 5827.9s
STEP [40560], EPOCH [25/100], ITER [576/1666] 
LOSS: 0.00113372, TIME: 5830.8s
STEP [40580], EPOCH [25/100], ITER [596/1666] 
LOSS: 0.00053042, TIME: 5833.6s
STEP [40600], EPOCH [25/100], ITER [616/1666] 
LOSS: 0.00085505, TIME: 5836.5s
STEP [40620], EPOCH [25/100], ITER [636/1666] 
LOSS: 0.00064595, TIME: 5839.3s
STEP [40640], EPOCH [25/100], ITER [656/1666] 
LOSS: 0.00043509, TIME: 5842.2s
STEP [40660], EPOCH [25/100], ITER [676/1666] 
LOSS: 0.00069780, TIME: 5845.0s
STEP [40680], EPOCH [25/100], ITER [696/1666] 
LOSS: 0.00073859, TIME: 5847.9s
STEP [40700], EPOCH [25/100], ITER [716/1666] 
LOSS: 0.00063641, TIME: 5850.8s
STEP [40720], EPOCH [25/100], ITER [736/1666] 
LOSS: 0.00062764, TIME: 5853.6s
STEP [40740], EPOCH [25/100], ITER [756/1666] 
LOSS: 0.00069330, TIME: 5856.5s
STEP [40760], EPOCH [25/100], ITER [776/1666] 
LOSS: 0.00112879, TIME: 5859.3s
STEP [40780], EPOCH [25/100], ITER [796/1666] 
LOSS: 0.00062580, TIME: 5862.2s
STEP [40800], EPOCH [25/100], ITER [816/1666] 
LOSS: 0.00060191, TIME: 5865.0s
STEP [40820], EPOCH [25/100], ITER [836/1666] 
LOSS: 0.00066260, TIME: 5867.9s
STEP [40840], EPOCH [25/100], ITER [856/1666] 
LOSS: 0.00071564, TIME: 5870.7s
STEP [40860], EPOCH [25/100], ITER [876/1666] 
LOSS: 0.00107269, TIME: 5873.6s
STEP [40880], EPOCH [25/100], ITER [896/1666] 
LOSS: 0.00051816, TIME: 5876.4s
STEP [40900], EPOCH [25/100], ITER [916/1666] 
LOSS: 0.00082660, TIME: 5879.3s
STEP [40920], EPOCH [25/100], ITER [936/1666] 
LOSS: 0.00059225, TIME: 5882.1s
STEP [40940], EPOCH [25/100], ITER [956/1666] 
LOSS: 0.00098163, TIME: 5885.0s
STEP [40960], EPOCH [25/100], ITER [976/1666] 
LOSS: 0.00041776, TIME: 5887.8s
STEP [40980], EPOCH [25/100], ITER [996/1666] 
LOSS: 0.00054551, TIME: 5890.7s
STEP [41000], EPOCH [25/100], ITER [1016/1666] 
LOSS: 0.00034901, TIME: 5893.5s
STEP [41020], EPOCH [25/100], ITER [1036/1666] 
LOSS: 0.00061313, TIME: 5896.5s
STEP [41040], EPOCH [25/100], ITER [1056/1666] 
LOSS: 0.00085744, TIME: 5899.3s
STEP [41060], EPOCH [25/100], ITER [1076/1666] 
LOSS: 0.00057044, TIME: 5902.2s
STEP [41080], EPOCH [25/100], ITER [1096/1666] 
LOSS: 0.00042811, TIME: 5905.0s
STEP [41100], EPOCH [25/100], ITER [1116/1666] 
LOSS: 0.00045952, TIME: 5907.9s
STEP [41120], EPOCH [25/100], ITER [1136/1666] 
LOSS: 0.00049964, TIME: 5910.7s
STEP [41140], EPOCH [25/100], ITER [1156/1666] 
LOSS: 0.00059287, TIME: 5913.6s
STEP [41160], EPOCH [25/100], ITER [1176/1666] 
LOSS: 0.00063784, TIME: 5916.4s
STEP [41180], EPOCH [25/100], ITER [1196/1666] 
LOSS: 0.00079339, TIME: 5919.3s
STEP [41200], EPOCH [25/100], ITER [1216/1666] 
LOSS: 0.00053355, TIME: 5922.1s
STEP [41220], EPOCH [25/100], ITER [1236/1666] 
LOSS: 0.00048107, TIME: 5925.0s
STEP [41240], EPOCH [25/100], ITER [1256/1666] 
LOSS: 0.00055657, TIME: 5927.8s
STEP [41260], EPOCH [25/100], ITER [1276/1666] 
LOSS: 0.00064583, TIME: 5930.7s
STEP [41280], EPOCH [25/100], ITER [1296/1666] 
LOSS: 0.00049150, TIME: 5933.5s
STEP [41300], EPOCH [25/100], ITER [1316/1666] 
LOSS: 0.00050828, TIME: 5936.4s
STEP [41320], EPOCH [25/100], ITER [1336/1666] 
LOSS: 0.00076048, TIME: 5939.3s
STEP [41340], EPOCH [25/100], ITER [1356/1666] 
LOSS: 0.00050623, TIME: 5942.1s
STEP [41360], EPOCH [25/100], ITER [1376/1666] 
LOSS: 0.00049351, TIME: 5945.0s
STEP [41380], EPOCH [25/100], ITER [1396/1666] 
LOSS: 0.00056091, TIME: 5947.8s
STEP [41400], EPOCH [25/100], ITER [1416/1666] 
LOSS: 0.00048436, TIME: 5950.7s
STEP [41420], EPOCH [25/100], ITER [1436/1666] 
LOSS: 0.00052822, TIME: 5953.5s
STEP [41440], EPOCH [25/100], ITER [1456/1666] 
LOSS: 0.00082408, TIME: 5956.4s
STEP [41460], EPOCH [25/100], ITER [1476/1666] 
LOSS: 0.00048572, TIME: 5959.2s
STEP [41480], EPOCH [25/100], ITER [1496/1666] 
LOSS: 0.00090634, TIME: 5962.1s
STEP [41500], EPOCH [25/100], ITER [1516/1666] 
LOSS: 0.00062468, TIME: 5964.9s
STEP [41520], EPOCH [25/100], ITER [1536/1666] 
LOSS: 0.00043886, TIME: 5967.8s
STEP [41540], EPOCH [25/100], ITER [1556/1666] 
LOSS: 0.00057051, TIME: 5970.6s
STEP [41560], EPOCH [25/100], ITER [1576/1666] 
LOSS: 0.00030527, TIME: 5973.5s
STEP [41580], EPOCH [25/100], ITER [1596/1666] 
LOSS: 0.00058507, TIME: 5976.3s
STEP [41600], EPOCH [25/100], ITER [1616/1666] 
LOSS: 0.00133191, TIME: 5979.2s
STEP [41620], EPOCH [25/100], ITER [1636/1666] 
LOSS: 0.00046779, TIME: 5982.0s
STEP [41640], EPOCH [25/100], ITER [1656/1666] 
LOSS: 0.00075324, TIME: 5984.9s
STEP [41660], EPOCH [26/100], ITER [10/1666] 
LOSS: 0.00098523, TIME: 5989.3s
STEP [41680], EPOCH [26/100], ITER [30/1666] 
LOSS: 0.00061927, TIME: 5992.1s
STEP [41700], EPOCH [26/100], ITER [50/1666] 
LOSS: 0.00060453, TIME: 5995.0s
STEP [41720], EPOCH [26/100], ITER [70/1666] 
LOSS: 0.00062149, TIME: 5997.8s
STEP [41740], EPOCH [26/100], ITER [90/1666] 
LOSS: 0.00080437, TIME: 6000.7s
STEP [41760], EPOCH [26/100], ITER [110/1666] 
LOSS: 0.00040248, TIME: 6003.5s
STEP [41780], EPOCH [26/100], ITER [130/1666] 
LOSS: 0.00053738, TIME: 6006.4s
STEP [41800], EPOCH [26/100], ITER [150/1666] 
LOSS: 0.00099097, TIME: 6009.2s
STEP [41820], EPOCH [26/100], ITER [170/1666] 
LOSS: 0.00056464, TIME: 6012.1s
STEP [41840], EPOCH [26/100], ITER [190/1666] 
LOSS: 0.00050127, TIME: 6014.9s
STEP [41860], EPOCH [26/100], ITER [210/1666] 
LOSS: 0.00067915, TIME: 6017.8s
STEP [41880], EPOCH [26/100], ITER [230/1666] 
LOSS: 0.00071775, TIME: 6020.7s
STEP [41900], EPOCH [26/100], ITER [250/1666] 
LOSS: 0.00042674, TIME: 6023.5s
STEP [41920], EPOCH [26/100], ITER [270/1666] 
LOSS: 0.00054081, TIME: 6026.4s
STEP [41940], EPOCH [26/100], ITER [290/1666] 
LOSS: 0.00166886, TIME: 6029.2s
STEP [41960], EPOCH [26/100], ITER [310/1666] 
LOSS: 0.00065206, TIME: 6032.1s
STEP [41980], EPOCH [26/100], ITER [330/1666] 
LOSS: 0.00063399, TIME: 6034.9s
STEP [42000], EPOCH [26/100], ITER [350/1666] 
LOSS: 0.00061980, TIME: 6037.8s
STEP [42020], EPOCH [26/100], ITER [370/1666] 
LOSS: 0.00049419, TIME: 6040.7s
STEP [42040], EPOCH [26/100], ITER [390/1666] 
LOSS: 0.00050852, TIME: 6043.6s
STEP [42060], EPOCH [26/100], ITER [410/1666] 
LOSS: 0.00053659, TIME: 6046.4s
STEP [42080], EPOCH [26/100], ITER [430/1666] 
LOSS: 0.00059410, TIME: 6049.3s
STEP [42100], EPOCH [26/100], ITER [450/1666] 
LOSS: 0.00070425, TIME: 6052.1s
STEP [42120], EPOCH [26/100], ITER [470/1666] 
LOSS: 0.00075234, TIME: 6055.0s
STEP [42140], EPOCH [26/100], ITER [490/1666] 
LOSS: 0.00084853, TIME: 6057.8s
STEP [42160], EPOCH [26/100], ITER [510/1666] 
LOSS: 0.00064594, TIME: 6060.7s
STEP [42180], EPOCH [26/100], ITER [530/1666] 
LOSS: 0.00062840, TIME: 6063.5s
STEP [42200], EPOCH [26/100], ITER [550/1666] 
LOSS: 0.00063372, TIME: 6066.4s
STEP [42220], EPOCH [26/100], ITER [570/1666] 
LOSS: 0.00118811, TIME: 6069.2s
STEP [42240], EPOCH [26/100], ITER [590/1666] 
LOSS: 0.00077335, TIME: 6072.1s
STEP [42260], EPOCH [26/100], ITER [610/1666] 
LOSS: 0.00081140, TIME: 6074.9s
STEP [42280], EPOCH [26/100], ITER [630/1666] 
LOSS: 0.00044738, TIME: 6077.8s
STEP [42300], EPOCH [26/100], ITER [650/1666] 
LOSS: 0.00044968, TIME: 6080.7s
STEP [42320], EPOCH [26/100], ITER [670/1666] 
LOSS: 0.00092893, TIME: 6083.5s
STEP [42340], EPOCH [26/100], ITER [690/1666] 
LOSS: 0.00065688, TIME: 6086.4s
STEP [42360], EPOCH [26/100], ITER [710/1666] 
LOSS: 0.00033146, TIME: 6089.2s
STEP [42380], EPOCH [26/100], ITER [730/1666] 
LOSS: 0.00062764, TIME: 6092.1s
STEP [42400], EPOCH [26/100], ITER [750/1666] 
LOSS: 0.00067183, TIME: 6094.9s
STEP [42420], EPOCH [26/100], ITER [770/1666] 
LOSS: 0.00075817, TIME: 6097.8s
STEP [42440], EPOCH [26/100], ITER [790/1666] 
LOSS: 0.00049788, TIME: 6100.6s
STEP [42460], EPOCH [26/100], ITER [810/1666] 
LOSS: 0.00070718, TIME: 6103.5s
STEP [42480], EPOCH [26/100], ITER [830/1666] 
LOSS: 0.00041983, TIME: 6106.4s
STEP [42500], EPOCH [26/100], ITER [850/1666] 
LOSS: 0.00044293, TIME: 6109.2s
STEP [42520], EPOCH [26/100], ITER [870/1666] 
LOSS: 0.00055196, TIME: 6112.1s
STEP [42540], EPOCH [26/100], ITER [890/1666] 
LOSS: 0.00043474, TIME: 6114.9s
STEP [42560], EPOCH [26/100], ITER [910/1666] 
LOSS: 0.00082771, TIME: 6117.8s
STEP [42580], EPOCH [26/100], ITER [930/1666] 
LOSS: 0.00054594, TIME: 6120.6s
STEP [42600], EPOCH [26/100], ITER [950/1666] 
LOSS: 0.00102739, TIME: 6123.5s
STEP [42620], EPOCH [26/100], ITER [970/1666] 
LOSS: 0.00074996, TIME: 6126.3s
STEP [42640], EPOCH [26/100], ITER [990/1666] 
LOSS: 0.00096004, TIME: 6129.2s
STEP [42660], EPOCH [26/100], ITER [1010/1666] 
LOSS: 0.00026456, TIME: 6132.0s
STEP [42680], EPOCH [26/100], ITER [1030/1666] 
LOSS: 0.00063751, TIME: 6134.9s
STEP [42700], EPOCH [26/100], ITER [1050/1666] 
LOSS: 0.00094997, TIME: 6137.7s
STEP [42720], EPOCH [26/100], ITER [1070/1666] 
LOSS: 0.00114248, TIME: 6140.6s
STEP [42740], EPOCH [26/100], ITER [1090/1666] 
LOSS: 0.00060193, TIME: 6143.4s
STEP [42760], EPOCH [26/100], ITER [1110/1666] 
LOSS: 0.00113087, TIME: 6146.3s
STEP [42780], EPOCH [26/100], ITER [1130/1666] 
LOSS: 0.00056017, TIME: 6149.1s
STEP [42800], EPOCH [26/100], ITER [1150/1666] 
LOSS: 0.00035868, TIME: 6152.0s
STEP [42820], EPOCH [26/100], ITER [1170/1666] 
LOSS: 0.00045245, TIME: 6154.8s
STEP [42840], EPOCH [26/100], ITER [1190/1666] 
LOSS: 0.00064434, TIME: 6157.7s
STEP [42860], EPOCH [26/100], ITER [1210/1666] 
LOSS: 0.00058789, TIME: 6160.6s
STEP [42880], EPOCH [26/100], ITER [1230/1666] 
LOSS: 0.00052800, TIME: 6163.4s
STEP [42900], EPOCH [26/100], ITER [1250/1666] 
LOSS: 0.00078967, TIME: 6166.3s
STEP [42920], EPOCH [26/100], ITER [1270/1666] 
LOSS: 0.00065406, TIME: 6169.1s
STEP [42940], EPOCH [26/100], ITER [1290/1666] 
LOSS: 0.00049177, TIME: 6172.0s
STEP [42960], EPOCH [26/100], ITER [1310/1666] 
LOSS: 0.00058592, TIME: 6174.8s
STEP [42980], EPOCH [26/100], ITER [1330/1666] 
LOSS: 0.00043751, TIME: 6177.7s
STEP [43000], EPOCH [26/100], ITER [1350/1666] 
LOSS: 0.00055878, TIME: 6180.5s
STEP [43020], EPOCH [26/100], ITER [1370/1666] 
LOSS: 0.00078211, TIME: 6183.4s
STEP [43040], EPOCH [26/100], ITER [1390/1666] 
LOSS: 0.00049424, TIME: 6186.3s
STEP [43060], EPOCH [26/100], ITER [1410/1666] 
LOSS: 0.00054821, TIME: 6189.1s
STEP [43080], EPOCH [26/100], ITER [1430/1666] 
LOSS: 0.00073778, TIME: 6192.0s
STEP [43100], EPOCH [26/100], ITER [1450/1666] 
LOSS: 0.00041837, TIME: 6194.9s
STEP [43120], EPOCH [26/100], ITER [1470/1666] 
LOSS: 0.00058388, TIME: 6197.7s
STEP [43140], EPOCH [26/100], ITER [1490/1666] 
LOSS: 0.00084657, TIME: 6200.6s
STEP [43160], EPOCH [26/100], ITER [1510/1666] 
LOSS: 0.00055078, TIME: 6203.4s
STEP [43180], EPOCH [26/100], ITER [1530/1666] 
LOSS: 0.00060395, TIME: 6206.3s
STEP [43200], EPOCH [26/100], ITER [1550/1666] 
LOSS: 0.00088685, TIME: 6209.1s
STEP [43220], EPOCH [26/100], ITER [1570/1666] 
LOSS: 0.00052062, TIME: 6212.0s
STEP [43240], EPOCH [26/100], ITER [1590/1666] 
LOSS: 0.00094549, TIME: 6214.8s
STEP [43260], EPOCH [26/100], ITER [1610/1666] 
LOSS: 0.00077098, TIME: 6217.7s
STEP [43280], EPOCH [26/100], ITER [1630/1666] 
LOSS: 0.00051026, TIME: 6220.5s
STEP [43300], EPOCH [26/100], ITER [1650/1666] 
LOSS: 0.00075859, TIME: 6223.4s
STEP [43320], EPOCH [27/100], ITER [4/1666] 
LOSS: 0.00035354, TIME: 6227.7s
STEP [43340], EPOCH [27/100], ITER [24/1666] 
LOSS: 0.00109594, TIME: 6230.6s
STEP [43360], EPOCH [27/100], ITER [44/1666] 
LOSS: 0.00093413, TIME: 6233.4s
STEP [43380], EPOCH [27/100], ITER [64/1666] 
LOSS: 0.00053153, TIME: 6236.3s
STEP [43400], EPOCH [27/100], ITER [84/1666] 
LOSS: 0.00070290, TIME: 6239.1s
STEP [43420], EPOCH [27/100], ITER [104/1666] 
LOSS: 0.00041499, TIME: 6242.0s
STEP [43440], EPOCH [27/100], ITER [124/1666] 
LOSS: 0.00060246, TIME: 6244.8s
STEP [43460], EPOCH [27/100], ITER [144/1666] 
LOSS: 0.00105554, TIME: 6247.7s
STEP [43480], EPOCH [27/100], ITER [164/1666] 
LOSS: 0.00072109, TIME: 6250.5s
STEP [43500], EPOCH [27/100], ITER [184/1666] 
LOSS: 0.00068617, TIME: 6253.4s
STEP [43520], EPOCH [27/100], ITER [204/1666] 
LOSS: 0.00053892, TIME: 6256.3s
STEP [43540], EPOCH [27/100], ITER [224/1666] 
LOSS: 0.00076175, TIME: 6259.1s
STEP [43560], EPOCH [27/100], ITER [244/1666] 
LOSS: 0.00053612, TIME: 6262.0s
STEP [43580], EPOCH [27/100], ITER [264/1666] 
LOSS: 0.00041186, TIME: 6264.8s
STEP [43600], EPOCH [27/100], ITER [284/1666] 
LOSS: 0.00046675, TIME: 6267.7s
STEP [43620], EPOCH [27/100], ITER [304/1666] 
LOSS: 0.00057050, TIME: 6270.5s
STEP [43640], EPOCH [27/100], ITER [324/1666] 
LOSS: 0.00117841, TIME: 6273.4s
STEP [43660], EPOCH [27/100], ITER [344/1666] 
LOSS: 0.00048484, TIME: 6276.2s
STEP [43680], EPOCH [27/100], ITER [364/1666] 
LOSS: 0.00072317, TIME: 6279.1s
STEP [43700], EPOCH [27/100], ITER [384/1666] 
LOSS: 0.00036990, TIME: 6281.9s
STEP [43720], EPOCH [27/100], ITER [404/1666] 
LOSS: 0.00079048, TIME: 6284.8s
STEP [43740], EPOCH [27/100], ITER [424/1666] 
LOSS: 0.00078958, TIME: 6287.6s
STEP [43760], EPOCH [27/100], ITER [444/1666] 
LOSS: 0.00059776, TIME: 6290.5s
STEP [43780], EPOCH [27/100], ITER [464/1666] 
LOSS: 0.00069520, TIME: 6293.3s
STEP [43800], EPOCH [27/100], ITER [484/1666] 
LOSS: 0.00115176, TIME: 6296.2s
STEP [43820], EPOCH [27/100], ITER [504/1666] 
LOSS: 0.00074506, TIME: 6299.1s
STEP [43840], EPOCH [27/100], ITER [524/1666] 
LOSS: 0.00068625, TIME: 6301.9s
STEP [43860], EPOCH [27/100], ITER [544/1666] 
LOSS: 0.00061363, TIME: 6304.8s
STEP [43880], EPOCH [27/100], ITER [564/1666] 
LOSS: 0.00039859, TIME: 6307.6s
STEP [43900], EPOCH [27/100], ITER [584/1666] 
LOSS: 0.00100907, TIME: 6310.5s
STEP [43920], EPOCH [27/100], ITER [604/1666] 
LOSS: 0.00081477, TIME: 6313.3s
STEP [43940], EPOCH [27/100], ITER [624/1666] 
LOSS: 0.00117881, TIME: 6316.2s
STEP [43960], EPOCH [27/100], ITER [644/1666] 
LOSS: 0.00054498, TIME: 6319.0s
STEP [43980], EPOCH [27/100], ITER [664/1666] 
LOSS: 0.00069540, TIME: 6321.9s
STEP [44000], EPOCH [27/100], ITER [684/1666] 
LOSS: 0.00066039, TIME: 6324.7s
STEP [44020], EPOCH [27/100], ITER [704/1666] 
LOSS: 0.00071756, TIME: 6327.7s
STEP [44040], EPOCH [27/100], ITER [724/1666] 
LOSS: 0.00083105, TIME: 6330.5s
STEP [44060], EPOCH [27/100], ITER [744/1666] 
LOSS: 0.00093920, TIME: 6333.4s
STEP [44080], EPOCH [27/100], ITER [764/1666] 
LOSS: 0.00044467, TIME: 6336.2s
STEP [44100], EPOCH [27/100], ITER [784/1666] 
LOSS: 0.00045302, TIME: 6339.1s
STEP [44120], EPOCH [27/100], ITER [804/1666] 
LOSS: 0.00099039, TIME: 6341.9s
STEP [44140], EPOCH [27/100], ITER [824/1666] 
LOSS: 0.00052777, TIME: 6344.8s
STEP [44160], EPOCH [27/100], ITER [844/1666] 
LOSS: 0.00081593, TIME: 6347.6s
STEP [44180], EPOCH [27/100], ITER [864/1666] 
LOSS: 0.00034278, TIME: 6350.5s
STEP [44200], EPOCH [27/100], ITER [884/1666] 
LOSS: 0.00043679, TIME: 6353.3s
STEP [44220], EPOCH [27/100], ITER [904/1666] 
LOSS: 0.00053296, TIME: 6356.2s
STEP [44240], EPOCH [27/100], ITER [924/1666] 
LOSS: 0.00078696, TIME: 6359.1s
STEP [44260], EPOCH [27/100], ITER [944/1666] 
LOSS: 0.00076459, TIME: 6361.9s
STEP [44280], EPOCH [27/100], ITER [964/1666] 
LOSS: 0.00067934, TIME: 6364.8s
STEP [44300], EPOCH [27/100], ITER [984/1666] 
LOSS: 0.00061425, TIME: 6367.6s
STEP [44320], EPOCH [27/100], ITER [1004/1666] 
LOSS: 0.00045125, TIME: 6370.5s
STEP [44340], EPOCH [27/100], ITER [1024/1666] 
LOSS: 0.00096652, TIME: 6373.3s
STEP [44360], EPOCH [27/100], ITER [1044/1666] 
LOSS: 0.00067308, TIME: 6376.2s
STEP [44380], EPOCH [27/100], ITER [1064/1666] 
LOSS: 0.00051333, TIME: 6379.0s
STEP [44400], EPOCH [27/100], ITER [1084/1666] 
LOSS: 0.00035794, TIME: 6381.9s
STEP [44420], EPOCH [27/100], ITER [1104/1666] 
LOSS: 0.00046482, TIME: 6384.7s
STEP [44440], EPOCH [27/100], ITER [1124/1666] 
LOSS: 0.00062863, TIME: 6387.6s
STEP [44460], EPOCH [27/100], ITER [1144/1666] 
LOSS: 0.00066475, TIME: 6390.4s
STEP [44480], EPOCH [27/100], ITER [1164/1666] 
LOSS: 0.00079365, TIME: 6393.3s
STEP [44500], EPOCH [27/100], ITER [1184/1666] 
LOSS: 0.00074012, TIME: 6396.2s
STEP [44520], EPOCH [27/100], ITER [1204/1666] 
LOSS: 0.00058372, TIME: 6399.0s
STEP [44540], EPOCH [27/100], ITER [1224/1666] 
LOSS: 0.00062482, TIME: 6401.9s
STEP [44560], EPOCH [27/100], ITER [1244/1666] 
LOSS: 0.00089045, TIME: 6404.7s
STEP [44580], EPOCH [27/100], ITER [1264/1666] 
LOSS: 0.00080131, TIME: 6407.6s
STEP [44600], EPOCH [27/100], ITER [1284/1666] 
LOSS: 0.00047281, TIME: 6410.4s
STEP [44620], EPOCH [27/100], ITER [1304/1666] 
LOSS: 0.00074606, TIME: 6413.3s
STEP [44640], EPOCH [27/100], ITER [1324/1666] 
LOSS: 0.00055991, TIME: 6416.1s
STEP [44660], EPOCH [27/100], ITER [1344/1666] 
LOSS: 0.00064159, TIME: 6419.0s
STEP [44680], EPOCH [27/100], ITER [1364/1666] 
LOSS: 0.00066281, TIME: 6421.8s
STEP [44700], EPOCH [27/100], ITER [1384/1666] 
LOSS: 0.00037391, TIME: 6424.7s
STEP [44720], EPOCH [27/100], ITER [1404/1666] 
LOSS: 0.00056625, TIME: 6427.6s
STEP [44740], EPOCH [27/100], ITER [1424/1666] 
LOSS: 0.00082540, TIME: 6430.4s
STEP [44760], EPOCH [27/100], ITER [1444/1666] 
LOSS: 0.00047907, TIME: 6433.3s
STEP [44780], EPOCH [27/100], ITER [1464/1666] 
LOSS: 0.00058114, TIME: 6436.1s
STEP [44800], EPOCH [27/100], ITER [1484/1666] 
LOSS: 0.00104218, TIME: 6439.0s
STEP [44820], EPOCH [27/100], ITER [1504/1666] 
LOSS: 0.00089713, TIME: 6441.8s
STEP [44840], EPOCH [27/100], ITER [1524/1666] 
LOSS: 0.00082876, TIME: 6444.7s
STEP [44860], EPOCH [27/100], ITER [1544/1666] 
LOSS: 0.00109271, TIME: 6447.5s
STEP [44880], EPOCH [27/100], ITER [1564/1666] 
LOSS: 0.00086934, TIME: 6450.4s
STEP [44900], EPOCH [27/100], ITER [1584/1666] 
LOSS: 0.00069032, TIME: 6453.2s
STEP [44920], EPOCH [27/100], ITER [1604/1666] 
LOSS: 0.00069195, TIME: 6456.1s
STEP [44940], EPOCH [27/100], ITER [1624/1666] 
LOSS: 0.00050194, TIME: 6459.0s
STEP [44960], EPOCH [27/100], ITER [1644/1666] 
LOSS: 0.00046324, TIME: 6461.8s
STEP [44980], EPOCH [27/100], ITER [1664/1666] 
LOSS: 0.00077513, TIME: 6464.7s
STEP [45000], EPOCH [28/100], ITER [18/1666] 
LOSS: 0.00095566, TIME: 6468.9s
STEP [45020], EPOCH [28/100], ITER [38/1666] 
LOSS: 0.00067615, TIME: 6471.8s
STEP [45040], EPOCH [28/100], ITER [58/1666] 
LOSS: 0.00087900, TIME: 6474.7s
STEP [45060], EPOCH [28/100], ITER [78/1666] 
LOSS: 0.00053051, TIME: 6477.5s
STEP [45080], EPOCH [28/100], ITER [98/1666] 
LOSS: 0.00082964, TIME: 6480.4s
STEP [45100], EPOCH [28/100], ITER [118/1666] 
LOSS: 0.00053394, TIME: 6483.2s
STEP [45120], EPOCH [28/100], ITER [138/1666] 
LOSS: 0.00071481, TIME: 6486.1s
STEP [45140], EPOCH [28/100], ITER [158/1666] 
LOSS: 0.00086777, TIME: 6488.9s
STEP [45160], EPOCH [28/100], ITER [178/1666] 
LOSS: 0.00070886, TIME: 6491.8s
STEP [45180], EPOCH [28/100], ITER [198/1666] 
LOSS: 0.00090127, TIME: 6494.6s
STEP [45200], EPOCH [28/100], ITER [218/1666] 
LOSS: 0.00055659, TIME: 6497.5s
STEP [45220], EPOCH [28/100], ITER [238/1666] 
LOSS: 0.00063465, TIME: 6500.3s
STEP [45240], EPOCH [28/100], ITER [258/1666] 
LOSS: 0.00093340, TIME: 6503.2s
STEP [45260], EPOCH [28/100], ITER [278/1666] 
LOSS: 0.00045292, TIME: 6506.0s
STEP [45280], EPOCH [28/100], ITER [298/1666] 
LOSS: 0.00036403, TIME: 6508.9s
STEP [45300], EPOCH [28/100], ITER [318/1666] 
LOSS: 0.00047390, TIME: 6511.7s
STEP [45320], EPOCH [28/100], ITER [338/1666] 
LOSS: 0.00141518, TIME: 6514.6s
STEP [45340], EPOCH [28/100], ITER [358/1666] 
LOSS: 0.00058178, TIME: 6517.5s
STEP [45360], EPOCH [28/100], ITER [378/1666] 
LOSS: 0.00048845, TIME: 6520.3s
STEP [45380], EPOCH [28/100], ITER [398/1666] 
LOSS: 0.00072126, TIME: 6523.2s
STEP [45400], EPOCH [28/100], ITER [418/1666] 
LOSS: 0.00041630, TIME: 6526.0s
STEP [45420], EPOCH [28/100], ITER [438/1666] 
LOSS: 0.00079533, TIME: 6528.9s
STEP [45440], EPOCH [28/100], ITER [458/1666] 
LOSS: 0.00049707, TIME: 6531.7s
STEP [45460], EPOCH [28/100], ITER [478/1666] 
LOSS: 0.00052078, TIME: 6534.6s
STEP [45480], EPOCH [28/100], ITER [498/1666] 
LOSS: 0.00041779, TIME: 6537.4s
STEP [45500], EPOCH [28/100], ITER [518/1666] 
LOSS: 0.00073785, TIME: 6540.3s
STEP [45520], EPOCH [28/100], ITER [538/1666] 
LOSS: 0.00096155, TIME: 6543.1s
STEP [45540], EPOCH [28/100], ITER [558/1666] 
LOSS: 0.00070065, TIME: 6546.0s
STEP [45560], EPOCH [28/100], ITER [578/1666] 
LOSS: 0.00097597, TIME: 6548.8s
STEP [45580], EPOCH [28/100], ITER [598/1666] 
LOSS: 0.00044392, TIME: 6551.7s
STEP [45600], EPOCH [28/100], ITER [618/1666] 
LOSS: 0.00076331, TIME: 6554.5s
STEP [45620], EPOCH [28/100], ITER [638/1666] 
LOSS: 0.00086924, TIME: 6557.4s
STEP [45640], EPOCH [28/100], ITER [658/1666] 
LOSS: 0.00058978, TIME: 6560.2s
STEP [45660], EPOCH [28/100], ITER [678/1666] 
LOSS: 0.00032827, TIME: 6563.1s
STEP [45680], EPOCH [28/100], ITER [698/1666] 
LOSS: 0.00075183, TIME: 6565.9s
STEP [45700], EPOCH [28/100], ITER [718/1666] 
LOSS: 0.00081782, TIME: 6568.8s
STEP [45720], EPOCH [28/100], ITER [738/1666] 
LOSS: 0.00058364, TIME: 6571.7s
STEP [45740], EPOCH [28/100], ITER [758/1666] 
LOSS: 0.00029407, TIME: 6574.5s
STEP [45760], EPOCH [28/100], ITER [778/1666] 
LOSS: 0.00064899, TIME: 6577.4s
STEP [45780], EPOCH [28/100], ITER [798/1666] 
LOSS: 0.00082078, TIME: 6580.2s
STEP [45800], EPOCH [28/100], ITER [818/1666] 
LOSS: 0.00050810, TIME: 6583.1s
STEP [45820], EPOCH [28/100], ITER [838/1666] 
LOSS: 0.00093257, TIME: 6585.9s
STEP [45840], EPOCH [28/100], ITER [858/1666] 
LOSS: 0.00075900, TIME: 6588.8s
STEP [45860], EPOCH [28/100], ITER [878/1666] 
LOSS: 0.00039025, TIME: 6591.6s
STEP [45880], EPOCH [28/100], ITER [898/1666] 
LOSS: 0.00058010, TIME: 6594.5s
STEP [45900], EPOCH [28/100], ITER [918/1666] 
LOSS: 0.00052713, TIME: 6597.3s
STEP [45920], EPOCH [28/100], ITER [938/1666] 
LOSS: 0.00087528, TIME: 6600.2s
STEP [45940], EPOCH [28/100], ITER [958/1666] 
LOSS: 0.00055418, TIME: 6603.0s
STEP [45960], EPOCH [28/100], ITER [978/1666] 
LOSS: 0.00046616, TIME: 6605.9s
STEP [45980], EPOCH [28/100], ITER [998/1666] 
LOSS: 0.00052481, TIME: 6608.7s
STEP [46000], EPOCH [28/100], ITER [1018/1666] 
LOSS: 0.00084933, TIME: 6611.6s
STEP [46020], EPOCH [28/100], ITER [1038/1666] 
LOSS: 0.00096824, TIME: 6614.5s
STEP [46040], EPOCH [28/100], ITER [1058/1666] 
LOSS: 0.00059234, TIME: 6617.4s
STEP [46060], EPOCH [28/100], ITER [1078/1666] 
LOSS: 0.00043456, TIME: 6620.2s
STEP [46080], EPOCH [28/100], ITER [1098/1666] 
LOSS: 0.00070112, TIME: 6623.1s
STEP [46100], EPOCH [28/100], ITER [1118/1666] 
LOSS: 0.00084925, TIME: 6625.9s
STEP [46120], EPOCH [28/100], ITER [1138/1666] 
LOSS: 0.00039972, TIME: 6628.8s
STEP [46140], EPOCH [28/100], ITER [1158/1666] 
LOSS: 0.00053519, TIME: 6631.6s
STEP [46160], EPOCH [28/100], ITER [1178/1666] 
LOSS: 0.00082835, TIME: 6634.5s
STEP [46180], EPOCH [28/100], ITER [1198/1666] 
LOSS: 0.00051498, TIME: 6637.4s
STEP [46200], EPOCH [28/100], ITER [1218/1666] 
LOSS: 0.00155165, TIME: 6640.2s
STEP [46220], EPOCH [28/100], ITER [1238/1666] 
LOSS: 0.00055832, TIME: 6643.1s
STEP [46240], EPOCH [28/100], ITER [1258/1666] 
LOSS: 0.00085025, TIME: 6645.9s
STEP [46260], EPOCH [28/100], ITER [1278/1666] 
LOSS: 0.00073053, TIME: 6648.8s
STEP [46280], EPOCH [28/100], ITER [1298/1666] 
LOSS: 0.00053777, TIME: 6651.6s
STEP [46300], EPOCH [28/100], ITER [1318/1666] 
LOSS: 0.00049648, TIME: 6654.5s
STEP [46320], EPOCH [28/100], ITER [1338/1666] 
LOSS: 0.00036377, TIME: 6657.3s
STEP [46340], EPOCH [28/100], ITER [1358/1666] 
LOSS: 0.00045290, TIME: 6660.2s
STEP [46360], EPOCH [28/100], ITER [1378/1666] 
LOSS: 0.00061991, TIME: 6663.1s
STEP [46380], EPOCH [28/100], ITER [1398/1666] 
LOSS: 0.00063400, TIME: 6665.9s
STEP [46400], EPOCH [28/100], ITER [1418/1666] 
LOSS: 0.00115535, TIME: 6668.8s
STEP [46420], EPOCH [28/100], ITER [1438/1666] 
LOSS: 0.00068851, TIME: 6671.6s
STEP [46440], EPOCH [28/100], ITER [1458/1666] 
LOSS: 0.00182401, TIME: 6674.5s
STEP [46460], EPOCH [28/100], ITER [1478/1666] 
LOSS: 0.00064345, TIME: 6677.3s
STEP [46480], EPOCH [28/100], ITER [1498/1666] 
LOSS: 0.00061467, TIME: 6680.2s
STEP [46500], EPOCH [28/100], ITER [1518/1666] 
LOSS: 0.00140892, TIME: 6683.0s
STEP [46520], EPOCH [28/100], ITER [1538/1666] 
LOSS: 0.00029696, TIME: 6685.9s
STEP [46540], EPOCH [28/100], ITER [1558/1666] 
LOSS: 0.00049110, TIME: 6688.7s
STEP [46560], EPOCH [28/100], ITER [1578/1666] 
LOSS: 0.00046552, TIME: 6691.6s
STEP [46580], EPOCH [28/100], ITER [1598/1666] 
LOSS: 0.00084135, TIME: 6694.5s
STEP [46600], EPOCH [28/100], ITER [1618/1666] 
LOSS: 0.00041909, TIME: 6697.3s
STEP [46620], EPOCH [28/100], ITER [1638/1666] 
LOSS: 0.00061054, TIME: 6700.2s
STEP [46640], EPOCH [28/100], ITER [1658/1666] 
LOSS: 0.00099611, TIME: 6703.0s
STEP [46660], EPOCH [29/100], ITER [12/1666] 
LOSS: 0.00044487, TIME: 6707.3s
STEP [46680], EPOCH [29/100], ITER [32/1666] 
LOSS: 0.00118395, TIME: 6710.1s
STEP [46700], EPOCH [29/100], ITER [52/1666] 
LOSS: 0.00074790, TIME: 6713.0s
STEP [46720], EPOCH [29/100], ITER [72/1666] 
LOSS: 0.00054035, TIME: 6715.8s
STEP [46740], EPOCH [29/100], ITER [92/1666] 
LOSS: 0.00084275, TIME: 6718.7s
STEP [46760], EPOCH [29/100], ITER [112/1666] 
LOSS: 0.00080665, TIME: 6721.5s
STEP [46780], EPOCH [29/100], ITER [132/1666] 
LOSS: 0.00048861, TIME: 6724.4s
STEP [46800], EPOCH [29/100], ITER [152/1666] 
LOSS: 0.00053212, TIME: 6727.2s
STEP [46820], EPOCH [29/100], ITER [172/1666] 
LOSS: 0.00061532, TIME: 6730.1s
STEP [46840], EPOCH [29/100], ITER [192/1666] 
LOSS: 0.00070766, TIME: 6732.9s
STEP [46860], EPOCH [29/100], ITER [212/1666] 
LOSS: 0.00112950, TIME: 6735.8s
STEP [46880], EPOCH [29/100], ITER [232/1666] 
LOSS: 0.00069552, TIME: 6738.6s
STEP [46900], EPOCH [29/100], ITER [252/1666] 
LOSS: 0.00032752, TIME: 6741.5s
STEP [46920], EPOCH [29/100], ITER [272/1666] 
LOSS: 0.00056021, TIME: 6744.3s
STEP [46940], EPOCH [29/100], ITER [292/1666] 
LOSS: 0.00035616, TIME: 6747.2s
STEP [46960], EPOCH [29/100], ITER [312/1666] 
LOSS: 0.00071718, TIME: 6750.0s
STEP [46980], EPOCH [29/100], ITER [332/1666] 
LOSS: 0.00061086, TIME: 6752.9s
STEP [47000], EPOCH [29/100], ITER [352/1666] 
LOSS: 0.00055883, TIME: 6755.8s
STEP [47020], EPOCH [29/100], ITER [372/1666] 
LOSS: 0.00056829, TIME: 6758.7s
STEP [47040], EPOCH [29/100], ITER [392/1666] 
LOSS: 0.00053095, TIME: 6761.5s
STEP [47060], EPOCH [29/100], ITER [412/1666] 
LOSS: 0.00057702, TIME: 6764.4s
STEP [47080], EPOCH [29/100], ITER [432/1666] 
LOSS: 0.00066099, TIME: 6767.2s
STEP [47100], EPOCH [29/100], ITER [452/1666] 
LOSS: 0.00059004, TIME: 6770.1s
STEP [47120], EPOCH [29/100], ITER [472/1666] 
LOSS: 0.00086355, TIME: 6772.9s
STEP [47140], EPOCH [29/100], ITER [492/1666] 
LOSS: 0.00053528, TIME: 6775.8s
STEP [47160], EPOCH [29/100], ITER [512/1666] 
LOSS: 0.00091591, TIME: 6778.7s
STEP [47180], EPOCH [29/100], ITER [532/1666] 
LOSS: 0.00104613, TIME: 6781.5s
STEP [47200], EPOCH [29/100], ITER [552/1666] 
LOSS: 0.00030856, TIME: 6784.4s
STEP [47220], EPOCH [29/100], ITER [572/1666] 
LOSS: 0.00072446, TIME: 6787.2s
STEP [47240], EPOCH [29/100], ITER [592/1666] 
LOSS: 0.00049624, TIME: 6790.1s
STEP [47260], EPOCH [29/100], ITER [612/1666] 
LOSS: 0.00073361, TIME: 6792.9s
STEP [47280], EPOCH [29/100], ITER [632/1666] 
LOSS: 0.00071347, TIME: 6795.8s
STEP [47300], EPOCH [29/100], ITER [652/1666] 
LOSS: 0.00056379, TIME: 6798.6s
STEP [47320], EPOCH [29/100], ITER [672/1666] 
LOSS: 0.00054857, TIME: 6801.5s
STEP [47340], EPOCH [29/100], ITER [692/1666] 
LOSS: 0.00052108, TIME: 6804.3s
STEP [47360], EPOCH [29/100], ITER [712/1666] 
LOSS: 0.00094761, TIME: 6807.2s
STEP [47380], EPOCH [29/100], ITER [732/1666] 
LOSS: 0.00071966, TIME: 6810.0s
STEP [47400], EPOCH [29/100], ITER [752/1666] 
LOSS: 0.00037440, TIME: 6812.9s
STEP [47420], EPOCH [29/100], ITER [772/1666] 
LOSS: 0.00057944, TIME: 6815.7s
STEP [47440], EPOCH [29/100], ITER [792/1666] 
LOSS: 0.00069148, TIME: 6818.6s
STEP [47460], EPOCH [29/100], ITER [812/1666] 
LOSS: 0.00050767, TIME: 6821.4s
STEP [47480], EPOCH [29/100], ITER [832/1666] 
LOSS: 0.00070854, TIME: 6824.3s
STEP [47500], EPOCH [29/100], ITER [852/1666] 
LOSS: 0.00062728, TIME: 6827.2s
STEP [47520], EPOCH [29/100], ITER [872/1666] 
LOSS: 0.00080407, TIME: 6830.0s
STEP [47540], EPOCH [29/100], ITER [892/1666] 
LOSS: 0.00119005, TIME: 6832.9s
STEP [47560], EPOCH [29/100], ITER [912/1666] 
LOSS: 0.00148553, TIME: 6835.7s
STEP [47580], EPOCH [29/100], ITER [932/1666] 
LOSS: 0.00068751, TIME: 6838.6s
STEP [47600], EPOCH [29/100], ITER [952/1666] 
LOSS: 0.00070221, TIME: 6841.4s
STEP [47620], EPOCH [29/100], ITER [972/1666] 
LOSS: 0.00094258, TIME: 6844.3s
STEP [47640], EPOCH [29/100], ITER [992/1666] 
LOSS: 0.00061434, TIME: 6847.1s
STEP [47660], EPOCH [29/100], ITER [1012/1666] 
LOSS: 0.00080797, TIME: 6850.0s
STEP [47680], EPOCH [29/100], ITER [1032/1666] 
LOSS: 0.00082769, TIME: 6852.8s
STEP [47700], EPOCH [29/100], ITER [1052/1666] 
LOSS: 0.00064382, TIME: 6855.7s
STEP [47720], EPOCH [29/100], ITER [1072/1666] 
LOSS: 0.00073945, TIME: 6858.5s
STEP [47740], EPOCH [29/100], ITER [1092/1666] 
LOSS: 0.00051427, TIME: 6861.4s
STEP [47760], EPOCH [29/100], ITER [1112/1666] 
LOSS: 0.00062571, TIME: 6864.2s
STEP [47780], EPOCH [29/100], ITER [1132/1666] 
LOSS: 0.00035054, TIME: 6867.1s
STEP [47800], EPOCH [29/100], ITER [1152/1666] 
LOSS: 0.00093149, TIME: 6869.9s
STEP [47820], EPOCH [29/100], ITER [1172/1666] 
LOSS: 0.00037588, TIME: 6872.8s
STEP [47840], EPOCH [29/100], ITER [1192/1666] 
LOSS: 0.00083865, TIME: 6875.6s
STEP [47860], EPOCH [29/100], ITER [1212/1666] 
LOSS: 0.00058477, TIME: 6878.5s
STEP [47880], EPOCH [29/100], ITER [1232/1666] 
LOSS: 0.00062613, TIME: 6881.3s
STEP [47900], EPOCH [29/100], ITER [1252/1666] 
LOSS: 0.00053893, TIME: 6884.2s
STEP [47920], EPOCH [29/100], ITER [1272/1666] 
LOSS: 0.00052388, TIME: 6887.1s
STEP [47940], EPOCH [29/100], ITER [1292/1666] 
LOSS: 0.00071187, TIME: 6889.9s
STEP [47960], EPOCH [29/100], ITER [1312/1666] 
LOSS: 0.00073473, TIME: 6892.8s
STEP [47980], EPOCH [29/100], ITER [1332/1666] 
LOSS: 0.00047580, TIME: 6895.6s
STEP [48000], EPOCH [29/100], ITER [1352/1666] 
LOSS: 0.00070905, TIME: 6898.5s
STEP [48020], EPOCH [29/100], ITER [1372/1666] 
LOSS: 0.00056436, TIME: 6901.4s
STEP [48040], EPOCH [29/100], ITER [1392/1666] 
LOSS: 0.00052697, TIME: 6904.2s
STEP [48060], EPOCH [29/100], ITER [1412/1666] 
LOSS: 0.00077173, TIME: 6907.1s
STEP [48080], EPOCH [29/100], ITER [1432/1666] 
LOSS: 0.00053713, TIME: 6909.9s
STEP [48100], EPOCH [29/100], ITER [1452/1666] 
LOSS: 0.00090797, TIME: 6912.8s
STEP [48120], EPOCH [29/100], ITER [1472/1666] 
LOSS: 0.00060047, TIME: 6915.6s
STEP [48140], EPOCH [29/100], ITER [1492/1666] 
LOSS: 0.00066124, TIME: 6918.5s
STEP [48160], EPOCH [29/100], ITER [1512/1666] 
LOSS: 0.00045291, TIME: 6921.3s
STEP [48180], EPOCH [29/100], ITER [1532/1666] 
LOSS: 0.00050978, TIME: 6924.2s
STEP [48200], EPOCH [29/100], ITER [1552/1666] 
LOSS: 0.00057300, TIME: 6927.1s
STEP [48220], EPOCH [29/100], ITER [1572/1666] 
LOSS: 0.00071872, TIME: 6929.9s
STEP [48240], EPOCH [29/100], ITER [1592/1666] 
LOSS: 0.00059824, TIME: 6932.8s
STEP [48260], EPOCH [29/100], ITER [1612/1666] 
LOSS: 0.00075796, TIME: 6935.6s
STEP [48280], EPOCH [29/100], ITER [1632/1666] 
LOSS: 0.00072625, TIME: 6938.5s
STEP [48300], EPOCH [29/100], ITER [1652/1666] 
LOSS: 0.00076238, TIME: 6941.3s
STEP [48320], EPOCH [30/100], ITER [6/1666] 
LOSS: 0.00044617, TIME: 6945.7s
STEP [48340], EPOCH [30/100], ITER [26/1666] 
LOSS: 0.00060511, TIME: 6948.6s
STEP [48360], EPOCH [30/100], ITER [46/1666] 
LOSS: 0.00112873, TIME: 6951.4s
STEP [48380], EPOCH [30/100], ITER [66/1666] 
LOSS: 0.00062520, TIME: 6954.3s
STEP [48400], EPOCH [30/100], ITER [86/1666] 
LOSS: 0.00073061, TIME: 6957.1s
STEP [48420], EPOCH [30/100], ITER [106/1666] 
LOSS: 0.00044219, TIME: 6960.0s
STEP [48440], EPOCH [30/100], ITER [126/1666] 
LOSS: 0.00059897, TIME: 6962.8s
STEP [48460], EPOCH [30/100], ITER [146/1666] 
LOSS: 0.00046306, TIME: 6965.7s
STEP [48480], EPOCH [30/100], ITER [166/1666] 
LOSS: 0.00120931, TIME: 6968.5s
STEP [48500], EPOCH [30/100], ITER [186/1666] 
LOSS: 0.00081871, TIME: 6971.4s
STEP [48520], EPOCH [30/100], ITER [206/1666] 
LOSS: 0.00043708, TIME: 6974.2s
STEP [48540], EPOCH [30/100], ITER [226/1666] 
LOSS: 0.00058457, TIME: 6977.1s
STEP [48560], EPOCH [30/100], ITER [246/1666] 
LOSS: 0.00113420, TIME: 6980.0s
STEP [48580], EPOCH [30/100], ITER [266/1666] 
LOSS: 0.00059016, TIME: 6982.8s
STEP [48600], EPOCH [30/100], ITER [286/1666] 
LOSS: 0.00061085, TIME: 6985.7s
STEP [48620], EPOCH [30/100], ITER [306/1666] 
LOSS: 0.00080720, TIME: 6988.5s
STEP [48640], EPOCH [30/100], ITER [326/1666] 
LOSS: 0.00030025, TIME: 6991.4s
STEP [48660], EPOCH [30/100], ITER [346/1666] 
LOSS: 0.00038777, TIME: 6994.2s
STEP [48680], EPOCH [30/100], ITER [366/1666] 
LOSS: 0.00062839, TIME: 6997.1s
STEP [48700], EPOCH [30/100], ITER [386/1666] 
LOSS: 0.00052808, TIME: 6999.9s
STEP [48720], EPOCH [30/100], ITER [406/1666] 
LOSS: 0.00051678, TIME: 7002.8s
STEP [48740], EPOCH [30/100], ITER [426/1666] 
LOSS: 0.00061555, TIME: 7005.6s
STEP [48760], EPOCH [30/100], ITER [446/1666] 
LOSS: 0.00073751, TIME: 7008.5s
STEP [48780], EPOCH [30/100], ITER [466/1666] 
LOSS: 0.00085872, TIME: 7011.3s
STEP [48800], EPOCH [30/100], ITER [486/1666] 
LOSS: 0.00048199, TIME: 7014.2s
STEP [48820], EPOCH [30/100], ITER [506/1666] 
LOSS: 0.00057478, TIME: 7017.0s
STEP [48840], EPOCH [30/100], ITER [526/1666] 
LOSS: 0.00084134, TIME: 7019.9s
STEP [48860], EPOCH [30/100], ITER [546/1666] 
LOSS: 0.00065074, TIME: 7022.7s
STEP [48880], EPOCH [30/100], ITER [566/1666] 
LOSS: 0.00086291, TIME: 7025.6s
STEP [48900], EPOCH [30/100], ITER [586/1666] 
LOSS: 0.00037277, TIME: 7028.4s
STEP [48920], EPOCH [30/100], ITER [606/1666] 
LOSS: 0.00066778, TIME: 7031.3s
STEP [48940], EPOCH [30/100], ITER [626/1666] 
LOSS: 0.00036915, TIME: 7034.1s
STEP [48960], EPOCH [30/100], ITER [646/1666] 
LOSS: 0.00076734, TIME: 7037.0s
STEP [48980], EPOCH [30/100], ITER [666/1666] 
LOSS: 0.00059966, TIME: 7039.9s
STEP [49000], EPOCH [30/100], ITER [686/1666] 
LOSS: 0.00112191, TIME: 7042.7s
STEP [49020], EPOCH [30/100], ITER [706/1666] 
LOSS: 0.00055301, TIME: 7045.6s
STEP [49040], EPOCH [30/100], ITER [726/1666] 
LOSS: 0.00058853, TIME: 7048.5s
STEP [49060], EPOCH [30/100], ITER [746/1666] 
LOSS: 0.00064559, TIME: 7051.3s
STEP [49080], EPOCH [30/100], ITER [766/1666] 
LOSS: 0.00094125, TIME: 7054.2s
STEP [49100], EPOCH [30/100], ITER [786/1666] 
LOSS: 0.00034681, TIME: 7057.0s
STEP [49120], EPOCH [30/100], ITER [806/1666] 
LOSS: 0.00054367, TIME: 7059.9s
STEP [49140], EPOCH [30/100], ITER [826/1666] 
LOSS: 0.00054876, TIME: 7062.7s
STEP [49160], EPOCH [30/100], ITER [846/1666] 
LOSS: 0.00084514, TIME: 7065.6s
STEP [49180], EPOCH [30/100], ITER [866/1666] 
LOSS: 0.00080173, TIME: 7068.5s
STEP [49200], EPOCH [30/100], ITER [886/1666] 
LOSS: 0.00080210, TIME: 7071.3s
STEP [49220], EPOCH [30/100], ITER [906/1666] 
LOSS: 0.00045036, TIME: 7074.2s
STEP [49240], EPOCH [30/100], ITER [926/1666] 
LOSS: 0.00082861, TIME: 7077.0s
STEP [49260], EPOCH [30/100], ITER [946/1666] 
LOSS: 0.00131067, TIME: 7079.9s
STEP [49280], EPOCH [30/100], ITER [966/1666] 
LOSS: 0.00081518, TIME: 7082.7s
STEP [49300], EPOCH [30/100], ITER [986/1666] 
LOSS: 0.00086372, TIME: 7085.6s
STEP [49320], EPOCH [30/100], ITER [1006/1666] 
LOSS: 0.00085776, TIME: 7088.4s
STEP [49340], EPOCH [30/100], ITER [1026/1666] 
LOSS: 0.00060274, TIME: 7091.3s
STEP [49360], EPOCH [30/100], ITER [1046/1666] 
LOSS: 0.00107191, TIME: 7094.1s
STEP [49380], EPOCH [30/100], ITER [1066/1666] 
LOSS: 0.00058273, TIME: 7097.0s
STEP [49400], EPOCH [30/100], ITER [1086/1666] 
LOSS: 0.00072874, TIME: 7099.8s
STEP [49420], EPOCH [30/100], ITER [1106/1666] 
LOSS: 0.00058806, TIME: 7102.7s
STEP [49440], EPOCH [30/100], ITER [1126/1666] 
LOSS: 0.00060247, TIME: 7105.5s
STEP [49460], EPOCH [30/100], ITER [1146/1666] 
LOSS: 0.00099001, TIME: 7108.4s
STEP [49480], EPOCH [30/100], ITER [1166/1666] 
LOSS: 0.00034758, TIME: 7111.2s
STEP [49500], EPOCH [30/100], ITER [1186/1666] 
LOSS: 0.00115434, TIME: 7114.1s
STEP [49520], EPOCH [30/100], ITER [1206/1666] 
LOSS: 0.00064192, TIME: 7116.9s
STEP [49540], EPOCH [30/100], ITER [1226/1666] 
LOSS: 0.00070509, TIME: 7119.8s
STEP [49560], EPOCH [30/100], ITER [1246/1666] 
LOSS: 0.00062597, TIME: 7122.6s
STEP [49580], EPOCH [30/100], ITER [1266/1666] 
LOSS: 0.00068544, TIME: 7125.5s
STEP [49600], EPOCH [30/100], ITER [1286/1666] 
LOSS: 0.00062732, TIME: 7128.3s
STEP [49620], EPOCH [30/100], ITER [1306/1666] 
LOSS: 0.00058829, TIME: 7131.2s
STEP [49640], EPOCH [30/100], ITER [1326/1666] 
LOSS: 0.00053282, TIME: 7134.0s
STEP [49660], EPOCH [30/100], ITER [1346/1666] 
LOSS: 0.00039148, TIME: 7136.9s
STEP [49680], EPOCH [30/100], ITER [1366/1666] 
LOSS: 0.00035384, TIME: 7139.7s
STEP [49700], EPOCH [30/100], ITER [1386/1666] 
LOSS: 0.00101717, TIME: 7142.6s
STEP [49720], EPOCH [30/100], ITER [1406/1666] 
LOSS: 0.00063898, TIME: 7145.4s
STEP [49740], EPOCH [30/100], ITER [1426/1666] 
LOSS: 0.00062586, TIME: 7148.3s
STEP [49760], EPOCH [30/100], ITER [1446/1666] 
LOSS: 0.00053306, TIME: 7151.2s
STEP [49780], EPOCH [30/100], ITER [1466/1666] 
LOSS: 0.00076854, TIME: 7154.0s
STEP [49800], EPOCH [30/100], ITER [1486/1666] 
LOSS: 0.00047103, TIME: 7156.9s
STEP [49820], EPOCH [30/100], ITER [1506/1666] 
LOSS: 0.00057664, TIME: 7159.7s
STEP [49840], EPOCH [30/100], ITER [1526/1666] 
LOSS: 0.00061775, TIME: 7162.6s
STEP [49860], EPOCH [30/100], ITER [1546/1666] 
LOSS: 0.00065760, TIME: 7165.4s
STEP [49880], EPOCH [30/100], ITER [1566/1666] 
LOSS: 0.00054796, TIME: 7168.3s
STEP [49900], EPOCH [30/100], ITER [1586/1666] 
LOSS: 0.00076700, TIME: 7171.1s
STEP [49920], EPOCH [30/100], ITER [1606/1666] 
LOSS: 0.00166730, TIME: 7174.0s
STEP [49940], EPOCH [30/100], ITER [1626/1666] 
LOSS: 0.00067822, TIME: 7176.8s
STEP [49960], EPOCH [30/100], ITER [1646/1666] 
LOSS: 0.00054854, TIME: 7179.7s
STEP [49980], EPOCH [30/100], ITER [1666/1666] 
LOSS: 0.00099095, TIME: 7182.4s
STEP [50000], EPOCH [31/100], ITER [20/1666] 
LOSS: 0.00064455, TIME: 7186.8s
STEP [50020], EPOCH [31/100], ITER [40/1666] 
LOSS: 0.00062720, TIME: 7189.7s
STEP [50040], EPOCH [31/100], ITER [60/1666] 
LOSS: 0.00071128, TIME: 7192.5s
STEP [50060], EPOCH [31/100], ITER [80/1666] 
LOSS: 0.00202394, TIME: 7195.4s
STEP [50080], EPOCH [31/100], ITER [100/1666] 
LOSS: 0.00064615, TIME: 7198.2s
STEP [50100], EPOCH [31/100], ITER [120/1666] 
LOSS: 0.00070942, TIME: 7201.1s
STEP [50120], EPOCH [31/100], ITER [140/1666] 
LOSS: 0.00060782, TIME: 7203.9s
STEP [50140], EPOCH [31/100], ITER [160/1666] 
LOSS: 0.00086589, TIME: 7206.8s
STEP [50160], EPOCH [31/100], ITER [180/1666] 
LOSS: 0.00063430, TIME: 7209.6s
STEP [50180], EPOCH [31/100], ITER [200/1666] 
LOSS: 0.00067438, TIME: 7212.5s
STEP [50200], EPOCH [31/100], ITER [220/1666] 
LOSS: 0.00073540, TIME: 7215.4s
STEP [50220], EPOCH [31/100], ITER [240/1666] 
LOSS: 0.00048605, TIME: 7218.2s
STEP [50240], EPOCH [31/100], ITER [260/1666] 
LOSS: 0.00043333, TIME: 7221.1s
STEP [50260], EPOCH [31/100], ITER [280/1666] 
LOSS: 0.00046838, TIME: 7223.9s
STEP [50280], EPOCH [31/100], ITER [300/1666] 
LOSS: 0.00050530, TIME: 7226.8s
STEP [50300], EPOCH [31/100], ITER [320/1666] 
LOSS: 0.00069657, TIME: 7229.6s
STEP [50320], EPOCH [31/100], ITER [340/1666] 
LOSS: 0.00050545, TIME: 7232.5s
STEP [50340], EPOCH [31/100], ITER [360/1666] 
LOSS: 0.00074224, TIME: 7235.3s
STEP [50360], EPOCH [31/100], ITER [380/1666] 
LOSS: 0.00036619, TIME: 7238.2s
STEP [50380], EPOCH [31/100], ITER [400/1666] 
LOSS: 0.00067400, TIME: 7241.0s
STEP [50400], EPOCH [31/100], ITER [420/1666] 
LOSS: 0.00073537, TIME: 7243.9s
STEP [50420], EPOCH [31/100], ITER [440/1666] 
LOSS: 0.00091239, TIME: 7246.7s
STEP [50440], EPOCH [31/100], ITER [460/1666] 
LOSS: 0.00061128, TIME: 7249.6s
STEP [50460], EPOCH [31/100], ITER [480/1666] 
LOSS: 0.00052326, TIME: 7252.4s
STEP [50480], EPOCH [31/100], ITER [500/1666] 
LOSS: 0.00041666, TIME: 7255.3s
STEP [50500], EPOCH [31/100], ITER [520/1666] 
LOSS: 0.00050615, TIME: 7258.1s
STEP [50520], EPOCH [31/100], ITER [540/1666] 
LOSS: 0.00057073, TIME: 7261.0s
STEP [50540], EPOCH [31/100], ITER [560/1666] 
LOSS: 0.00071328, TIME: 7263.8s
STEP [50560], EPOCH [31/100], ITER [580/1666] 
LOSS: 0.00036908, TIME: 7266.7s
STEP [50580], EPOCH [31/100], ITER [600/1666] 
LOSS: 0.00060556, TIME: 7269.5s
STEP [50600], EPOCH [31/100], ITER [620/1666] 
LOSS: 0.00064875, TIME: 7272.4s
STEP [50620], EPOCH [31/100], ITER [640/1666] 
LOSS: 0.00073270, TIME: 7275.2s
STEP [50640], EPOCH [31/100], ITER [660/1666] 
LOSS: 0.00084801, TIME: 7278.1s
STEP [50660], EPOCH [31/100], ITER [680/1666] 
LOSS: 0.00063323, TIME: 7280.9s
STEP [50680], EPOCH [31/100], ITER [700/1666] 
LOSS: 0.00085459, TIME: 7283.8s
STEP [50700], EPOCH [31/100], ITER [720/1666] 
LOSS: 0.00044613, TIME: 7286.7s
STEP [50720], EPOCH [31/100], ITER [740/1666] 
LOSS: 0.00074578, TIME: 7289.5s
STEP [50740], EPOCH [31/100], ITER [760/1666] 
LOSS: 0.00065361, TIME: 7292.4s
STEP [50760], EPOCH [31/100], ITER [780/1666] 
LOSS: 0.00089104, TIME: 7295.2s
STEP [50780], EPOCH [31/100], ITER [800/1666] 
LOSS: 0.00063316, TIME: 7298.1s
STEP [50800], EPOCH [31/100], ITER [820/1666] 
LOSS: 0.00046336, TIME: 7300.9s
STEP [50820], EPOCH [31/100], ITER [840/1666] 
LOSS: 0.00040786, TIME: 7303.8s
STEP [50840], EPOCH [31/100], ITER [860/1666] 
LOSS: 0.00053329, TIME: 7306.6s
STEP [50860], EPOCH [31/100], ITER [880/1666] 
LOSS: 0.00073225, TIME: 7309.5s
STEP [50880], EPOCH [31/100], ITER [900/1666] 
LOSS: 0.00067137, TIME: 7312.3s
STEP [50900], EPOCH [31/100], ITER [920/1666] 
LOSS: 0.00063751, TIME: 7315.2s
STEP [50920], EPOCH [31/100], ITER [940/1666] 
LOSS: 0.00064357, TIME: 7318.0s
STEP [50940], EPOCH [31/100], ITER [960/1666] 
LOSS: 0.00078380, TIME: 7320.9s
STEP [50960], EPOCH [31/100], ITER [980/1666] 
LOSS: 0.00033823, TIME: 7323.7s
STEP [50980], EPOCH [31/100], ITER [1000/1666] 
LOSS: 0.00052450, TIME: 7326.6s
STEP [51000], EPOCH [31/100], ITER [1020/1666] 
LOSS: 0.00052139, TIME: 7329.4s
STEP [51020], EPOCH [31/100], ITER [1040/1666] 
LOSS: 0.00047918, TIME: 7332.4s
STEP [51040], EPOCH [31/100], ITER [1060/1666] 
LOSS: 0.00068793, TIME: 7335.2s
STEP [51060], EPOCH [31/100], ITER [1080/1666] 
LOSS: 0.00058173, TIME: 7338.1s
STEP [51080], EPOCH [31/100], ITER [1100/1666] 
LOSS: 0.00084767, TIME: 7340.9s
STEP [51100], EPOCH [31/100], ITER [1120/1666] 
LOSS: 0.00073842, TIME: 7343.8s
STEP [51120], EPOCH [31/100], ITER [1140/1666] 
LOSS: 0.00072930, TIME: 7346.6s
STEP [51140], EPOCH [31/100], ITER [1160/1666] 
LOSS: 0.00061549, TIME: 7349.5s
STEP [51160], EPOCH [31/100], ITER [1180/1666] 
LOSS: 0.00082477, TIME: 7352.3s
STEP [51180], EPOCH [31/100], ITER [1200/1666] 
LOSS: 0.00082209, TIME: 7355.2s
STEP [51200], EPOCH [31/100], ITER [1220/1666] 
LOSS: 0.00068268, TIME: 7358.0s
STEP [51220], EPOCH [31/100], ITER [1240/1666] 
LOSS: 0.00050443, TIME: 7360.9s
STEP [51240], EPOCH [31/100], ITER [1260/1666] 
LOSS: 0.00070561, TIME: 7363.7s
STEP [51260], EPOCH [31/100], ITER [1280/1666] 
LOSS: 0.00076530, TIME: 7366.6s
STEP [51280], EPOCH [31/100], ITER [1300/1666] 
LOSS: 0.00061556, TIME: 7369.4s
STEP [51300], EPOCH [31/100], ITER [1320/1666] 
LOSS: 0.00072155, TIME: 7372.3s
STEP [51320], EPOCH [31/100], ITER [1340/1666] 
LOSS: 0.00065334, TIME: 7375.1s
STEP [51340], EPOCH [31/100], ITER [1360/1666] 
LOSS: 0.00061283, TIME: 7378.0s
STEP [51360], EPOCH [31/100], ITER [1380/1666] 
LOSS: 0.00047156, TIME: 7380.8s
STEP [51380], EPOCH [31/100], ITER [1400/1666] 
LOSS: 0.00033042, TIME: 7383.7s
STEP [51400], EPOCH [31/100], ITER [1420/1666] 
LOSS: 0.00068073, TIME: 7386.5s
STEP [51420], EPOCH [31/100], ITER [1440/1666] 
LOSS: 0.00052893, TIME: 7389.4s
STEP [51440], EPOCH [31/100], ITER [1460/1666] 
LOSS: 0.00135738, TIME: 7392.3s
STEP [51460], EPOCH [31/100], ITER [1480/1666] 
LOSS: 0.00087257, TIME: 7395.1s
STEP [51480], EPOCH [31/100], ITER [1500/1666] 
LOSS: 0.00058325, TIME: 7398.0s
STEP [51500], EPOCH [31/100], ITER [1520/1666] 
LOSS: 0.00063325, TIME: 7400.8s
STEP [51520], EPOCH [31/100], ITER [1540/1666] 
LOSS: 0.00053845, TIME: 7403.7s
STEP [51540], EPOCH [31/100], ITER [1560/1666] 
LOSS: 0.00052120, TIME: 7406.5s
STEP [51560], EPOCH [31/100], ITER [1580/1666] 
LOSS: 0.00047388, TIME: 7409.4s
STEP [51580], EPOCH [31/100], ITER [1600/1666] 
LOSS: 0.00047782, TIME: 7412.2s
STEP [51600], EPOCH [31/100], ITER [1620/1666] 
LOSS: 0.00053317, TIME: 7415.1s
STEP [51620], EPOCH [31/100], ITER [1640/1666] 
LOSS: 0.00060299, TIME: 7417.9s
STEP [51640], EPOCH [31/100], ITER [1660/1666] 
LOSS: 0.00029166, TIME: 7420.8s
STEP [51660], EPOCH [32/100], ITER [14/1666] 
LOSS: 0.00110919, TIME: 7425.0s
STEP [51680], EPOCH [32/100], ITER [34/1666] 
LOSS: 0.00069873, TIME: 7427.9s
STEP [51700], EPOCH [32/100], ITER [54/1666] 
LOSS: 0.00059656, TIME: 7430.7s
STEP [51720], EPOCH [32/100], ITER [74/1666] 
LOSS: 0.00125062, TIME: 7433.6s
STEP [51740], EPOCH [32/100], ITER [94/1666] 
LOSS: 0.00061425, TIME: 7436.4s
STEP [51760], EPOCH [32/100], ITER [114/1666] 
LOSS: 0.00062955, TIME: 7439.3s
STEP [51780], EPOCH [32/100], ITER [134/1666] 
LOSS: 0.00051917, TIME: 7442.1s
STEP [51800], EPOCH [32/100], ITER [154/1666] 
LOSS: 0.00062203, TIME: 7445.0s
STEP [51820], EPOCH [32/100], ITER [174/1666] 
LOSS: 0.00034177, TIME: 7447.8s
STEP [51840], EPOCH [32/100], ITER [194/1666] 
LOSS: 0.00058213, TIME: 7450.7s
STEP [51860], EPOCH [32/100], ITER [214/1666] 
LOSS: 0.00061979, TIME: 7453.5s
STEP [51880], EPOCH [32/100], ITER [234/1666] 
LOSS: 0.00058494, TIME: 7456.4s
STEP [51900], EPOCH [32/100], ITER [254/1666] 
LOSS: 0.00073565, TIME: 7459.2s
STEP [51920], EPOCH [32/100], ITER [274/1666] 
LOSS: 0.00087281, TIME: 7462.1s
STEP [51940], EPOCH [32/100], ITER [294/1666] 
LOSS: 0.00041220, TIME: 7465.0s
STEP [51960], EPOCH [32/100], ITER [314/1666] 
LOSS: 0.00040508, TIME: 7467.8s
STEP [51980], EPOCH [32/100], ITER [334/1666] 
LOSS: 0.00068977, TIME: 7470.7s
STEP [52000], EPOCH [32/100], ITER [354/1666] 
LOSS: 0.00055476, TIME: 7473.5s
STEP [52020], EPOCH [32/100], ITER [374/1666] 
LOSS: 0.00079515, TIME: 7476.5s
STEP [52040], EPOCH [32/100], ITER [394/1666] 
LOSS: 0.00057499, TIME: 7479.3s
STEP [52060], EPOCH [32/100], ITER [414/1666] 
LOSS: 0.00078796, TIME: 7482.2s
STEP [52080], EPOCH [32/100], ITER [434/1666] 
LOSS: 0.00049952, TIME: 7485.0s
STEP [52100], EPOCH [32/100], ITER [454/1666] 
LOSS: 0.00055392, TIME: 7487.9s
STEP [52120], EPOCH [32/100], ITER [474/1666] 
LOSS: 0.00048026, TIME: 7490.7s
STEP [52140], EPOCH [32/100], ITER [494/1666] 
LOSS: 0.00046028, TIME: 7493.6s
STEP [52160], EPOCH [32/100], ITER [514/1666] 
LOSS: 0.00073771, TIME: 7496.4s
STEP [52180], EPOCH [32/100], ITER [534/1666] 
LOSS: 0.00074912, TIME: 7499.3s
STEP [52200], EPOCH [32/100], ITER [554/1666] 
LOSS: 0.00067423, TIME: 7502.1s
STEP [52220], EPOCH [32/100], ITER [574/1666] 
LOSS: 0.00073084, TIME: 7505.0s
STEP [52240], EPOCH [32/100], ITER [594/1666] 
LOSS: 0.00061276, TIME: 7507.8s
STEP [52260], EPOCH [32/100], ITER [614/1666] 
LOSS: 0.00085076, TIME: 7510.7s
STEP [52280], EPOCH [32/100], ITER [634/1666] 
LOSS: 0.00063572, TIME: 7513.5s
STEP [52300], EPOCH [32/100], ITER [654/1666] 
LOSS: 0.00091799, TIME: 7516.4s
STEP [52320], EPOCH [32/100], ITER [674/1666] 
LOSS: 0.00070793, TIME: 7519.2s
STEP [52340], EPOCH [32/100], ITER [694/1666] 
LOSS: 0.00061780, TIME: 7522.1s
STEP [52360], EPOCH [32/100], ITER [714/1666] 
LOSS: 0.00050821, TIME: 7524.9s
STEP [52380], EPOCH [32/100], ITER [734/1666] 
LOSS: 0.00056297, TIME: 7527.8s
STEP [52400], EPOCH [32/100], ITER [754/1666] 
LOSS: 0.00040949, TIME: 7530.7s
STEP [52420], EPOCH [32/100], ITER [774/1666] 
LOSS: 0.00066221, TIME: 7533.5s
STEP [52440], EPOCH [32/100], ITER [794/1666] 
LOSS: 0.00083967, TIME: 7536.4s
STEP [52460], EPOCH [32/100], ITER [814/1666] 
LOSS: 0.00056412, TIME: 7539.2s
STEP [52480], EPOCH [32/100], ITER [834/1666] 
LOSS: 0.00034064, TIME: 7542.1s
STEP [52500], EPOCH [32/100], ITER [854/1666] 
LOSS: 0.00038549, TIME: 7544.9s
STEP [52520], EPOCH [32/100], ITER [874/1666] 
LOSS: 0.00087916, TIME: 7547.8s
STEP [52540], EPOCH [32/100], ITER [894/1666] 
LOSS: 0.00053388, TIME: 7550.6s
STEP [52560], EPOCH [32/100], ITER [914/1666] 
LOSS: 0.00052195, TIME: 7553.5s
STEP [52580], EPOCH [32/100], ITER [934/1666] 
LOSS: 0.00070546, TIME: 7556.3s
STEP [52600], EPOCH [32/100], ITER [954/1666] 
LOSS: 0.00060252, TIME: 7559.2s
STEP [52620], EPOCH [32/100], ITER [974/1666] 
LOSS: 0.00046655, TIME: 7562.0s
STEP [52640], EPOCH [32/100], ITER [994/1666] 
LOSS: 0.00043503, TIME: 7564.9s
STEP [52660], EPOCH [32/100], ITER [1014/1666] 
LOSS: 0.00090164, TIME: 7567.7s
STEP [52680], EPOCH [32/100], ITER [1034/1666] 
LOSS: 0.00046459, TIME: 7570.6s
STEP [52700], EPOCH [32/100], ITER [1054/1666] 
LOSS: 0.00042710, TIME: 7573.4s
STEP [52720], EPOCH [32/100], ITER [1074/1666] 
LOSS: 0.00092643, TIME: 7576.3s
STEP [52740], EPOCH [32/100], ITER [1094/1666] 
LOSS: 0.00061647, TIME: 7579.2s
STEP [52760], EPOCH [32/100], ITER [1114/1666] 
LOSS: 0.00070639, TIME: 7582.0s
STEP [52780], EPOCH [32/100], ITER [1134/1666] 
LOSS: 0.00081860, TIME: 7584.9s
STEP [52800], EPOCH [32/100], ITER [1154/1666] 
LOSS: 0.00048821, TIME: 7587.7s
STEP [52820], EPOCH [32/100], ITER [1174/1666] 
LOSS: 0.00127617, TIME: 7590.6s
STEP [52840], EPOCH [32/100], ITER [1194/1666] 
LOSS: 0.00074224, TIME: 7593.4s
STEP [52860], EPOCH [32/100], ITER [1214/1666] 
LOSS: 0.00060779, TIME: 7596.3s
STEP [52880], EPOCH [32/100], ITER [1234/1666] 
LOSS: 0.00053321, TIME: 7599.1s
STEP [52900], EPOCH [32/100], ITER [1254/1666] 
LOSS: 0.00094174, TIME: 7602.0s
STEP [52920], EPOCH [32/100], ITER [1274/1666] 
LOSS: 0.00084278, TIME: 7604.8s
STEP [52940], EPOCH [32/100], ITER [1294/1666] 
LOSS: 0.00139286, TIME: 7607.7s
STEP [52960], EPOCH [32/100], ITER [1314/1666] 
LOSS: 0.00048679, TIME: 7610.5s
STEP [52980], EPOCH [32/100], ITER [1334/1666] 
LOSS: 0.00074377, TIME: 7613.4s
STEP [53000], EPOCH [32/100], ITER [1354/1666] 
LOSS: 0.00046934, TIME: 7616.2s
STEP [53020], EPOCH [32/100], ITER [1374/1666] 
LOSS: 0.00091469, TIME: 7619.1s
STEP [53040], EPOCH [32/100], ITER [1394/1666] 
LOSS: 0.00092409, TIME: 7622.0s
STEP [53060], EPOCH [32/100], ITER [1414/1666] 
LOSS: 0.00059367, TIME: 7624.8s
STEP [53080], EPOCH [32/100], ITER [1434/1666] 
LOSS: 0.00070032, TIME: 7627.7s
STEP [53100], EPOCH [32/100], ITER [1454/1666] 
LOSS: 0.00086366, TIME: 7630.6s
STEP [53120], EPOCH [32/100], ITER [1474/1666] 
LOSS: 0.00077252, TIME: 7633.4s
STEP [53140], EPOCH [32/100], ITER [1494/1666] 
LOSS: 0.00051669, TIME: 7636.3s
STEP [53160], EPOCH [32/100], ITER [1514/1666] 
LOSS: 0.00064984, TIME: 7639.1s
STEP [53180], EPOCH [32/100], ITER [1534/1666] 
LOSS: 0.00047139, TIME: 7642.0s
STEP [53200], EPOCH [32/100], ITER [1554/1666] 
LOSS: 0.00055448, TIME: 7644.8s
STEP [53220], EPOCH [32/100], ITER [1574/1666] 
LOSS: 0.00069124, TIME: 7647.7s
STEP [53240], EPOCH [32/100], ITER [1594/1666] 
LOSS: 0.00062334, TIME: 7650.5s
STEP [53260], EPOCH [32/100], ITER [1614/1666] 
LOSS: 0.00065162, TIME: 7653.4s
STEP [53280], EPOCH [32/100], ITER [1634/1666] 
LOSS: 0.00064134, TIME: 7656.2s
STEP [53300], EPOCH [32/100], ITER [1654/1666] 
LOSS: 0.00073213, TIME: 7659.1s
STEP [53320], EPOCH [33/100], ITER [8/1666] 
LOSS: 0.00132168, TIME: 7663.5s
STEP [53340], EPOCH [33/100], ITER [28/1666] 
LOSS: 0.00040701, TIME: 7666.4s
STEP [53360], EPOCH [33/100], ITER [48/1666] 
LOSS: 0.00079896, TIME: 7669.2s
STEP [53380], EPOCH [33/100], ITER [68/1666] 
LOSS: 0.00039233, TIME: 7672.1s
STEP [53400], EPOCH [33/100], ITER [88/1666] 
LOSS: 0.00071967, TIME: 7674.9s
STEP [53420], EPOCH [33/100], ITER [108/1666] 
LOSS: 0.00034424, TIME: 7677.8s
STEP [53440], EPOCH [33/100], ITER [128/1666] 
LOSS: 0.00059054, TIME: 7680.6s
STEP [53460], EPOCH [33/100], ITER [148/1666] 
LOSS: 0.00090881, TIME: 7683.5s
STEP [53480], EPOCH [33/100], ITER [168/1666] 
LOSS: 0.00055027, TIME: 7686.3s
STEP [53500], EPOCH [33/100], ITER [188/1666] 
LOSS: 0.00054854, TIME: 7689.2s
STEP [53520], EPOCH [33/100], ITER [208/1666] 
LOSS: 0.00075004, TIME: 7692.1s
STEP [53540], EPOCH [33/100], ITER [228/1666] 
LOSS: 0.00059976, TIME: 7694.9s
STEP [53560], EPOCH [33/100], ITER [248/1666] 
LOSS: 0.00070156, TIME: 7697.8s
STEP [53580], EPOCH [33/100], ITER [268/1666] 
LOSS: 0.00052399, TIME: 7700.6s
STEP [53600], EPOCH [33/100], ITER [288/1666] 
LOSS: 0.00089400, TIME: 7703.5s
STEP [53620], EPOCH [33/100], ITER [308/1666] 
LOSS: 0.00061335, TIME: 7706.3s
STEP [53640], EPOCH [33/100], ITER [328/1666] 
LOSS: 0.00065180, TIME: 7709.2s
STEP [53660], EPOCH [33/100], ITER [348/1666] 
LOSS: 0.00066528, TIME: 7712.0s
STEP [53680], EPOCH [33/100], ITER [368/1666] 
LOSS: 0.00068546, TIME: 7714.9s
STEP [53700], EPOCH [33/100], ITER [388/1666] 
LOSS: 0.00061376, TIME: 7717.7s
STEP [53720], EPOCH [33/100], ITER [408/1666] 
LOSS: 0.00043834, TIME: 7720.6s
STEP [53740], EPOCH [33/100], ITER [428/1666] 
LOSS: 0.00061126, TIME: 7723.4s
STEP [53760], EPOCH [33/100], ITER [448/1666] 
LOSS: 0.00079290, TIME: 7726.3s
STEP [53780], EPOCH [33/100], ITER [468/1666] 
LOSS: 0.00041756, TIME: 7729.2s
STEP [53800], EPOCH [33/100], ITER [488/1666] 
LOSS: 0.00077338, TIME: 7732.0s
STEP [53820], EPOCH [33/100], ITER [508/1666] 
LOSS: 0.00064687, TIME: 7734.9s
STEP [53840], EPOCH [33/100], ITER [528/1666] 
LOSS: 0.00056781, TIME: 7737.7s
STEP [53860], EPOCH [33/100], ITER [548/1666] 
LOSS: 0.00048026, TIME: 7740.6s
STEP [53880], EPOCH [33/100], ITER [568/1666] 
LOSS: 0.00039147, TIME: 7743.4s
STEP [53900], EPOCH [33/100], ITER [588/1666] 
LOSS: 0.00042183, TIME: 7746.3s
STEP [53920], EPOCH [33/100], ITER [608/1666] 
LOSS: 0.00059913, TIME: 7749.1s
STEP [53940], EPOCH [33/100], ITER [628/1666] 
LOSS: 0.00077795, TIME: 7752.0s
STEP [53960], EPOCH [33/100], ITER [648/1666] 
LOSS: 0.00044981, TIME: 7754.8s
STEP [53980], EPOCH [33/100], ITER [668/1666] 
LOSS: 0.00064035, TIME: 7757.7s
STEP [54000], EPOCH [33/100], ITER [688/1666] 
LOSS: 0.00060795, TIME: 7760.5s
STEP [54020], EPOCH [33/100], ITER [708/1666] 
LOSS: 0.00087733, TIME: 7763.5s
STEP [54040], EPOCH [33/100], ITER [728/1666] 
LOSS: 0.00137609, TIME: 7766.3s
STEP [54060], EPOCH [33/100], ITER [748/1666] 
LOSS: 0.00055491, TIME: 7769.2s
STEP [54080], EPOCH [33/100], ITER [768/1666] 
LOSS: 0.00050142, TIME: 7772.0s
STEP [54100], EPOCH [33/100], ITER [788/1666] 
LOSS: 0.00047359, TIME: 7774.9s
STEP [54120], EPOCH [33/100], ITER [808/1666] 
LOSS: 0.00078560, TIME: 7777.7s
STEP [54140], EPOCH [33/100], ITER [828/1666] 
LOSS: 0.00048279, TIME: 7780.6s
STEP [54160], EPOCH [33/100], ITER [848/1666] 
LOSS: 0.00049023, TIME: 7783.4s
STEP [54180], EPOCH [33/100], ITER [868/1666] 
LOSS: 0.00051721, TIME: 7786.3s
STEP [54200], EPOCH [33/100], ITER [888/1666] 
LOSS: 0.00066905, TIME: 7789.1s
STEP [54220], EPOCH [33/100], ITER [908/1666] 
LOSS: 0.00075425, TIME: 7792.0s
STEP [54240], EPOCH [33/100], ITER [928/1666] 
LOSS: 0.00072937, TIME: 7794.8s
STEP [54260], EPOCH [33/100], ITER [948/1666] 
LOSS: 0.00068825, TIME: 7797.7s
STEP [54280], EPOCH [33/100], ITER [968/1666] 
LOSS: 0.00088827, TIME: 7800.5s
STEP [54300], EPOCH [33/100], ITER [988/1666] 
LOSS: 0.00054612, TIME: 7803.4s
STEP [54320], EPOCH [33/100], ITER [1008/1666] 
LOSS: 0.00057547, TIME: 7806.3s
STEP [54340], EPOCH [33/100], ITER [1028/1666] 
LOSS: 0.00046247, TIME: 7809.1s
STEP [54360], EPOCH [33/100], ITER [1048/1666] 
LOSS: 0.00061073, TIME: 7812.0s
STEP [54380], EPOCH [33/100], ITER [1068/1666] 
LOSS: 0.00078924, TIME: 7814.8s
STEP [54400], EPOCH [33/100], ITER [1088/1666] 
LOSS: 0.00035156, TIME: 7817.7s
STEP [54420], EPOCH [33/100], ITER [1108/1666] 
LOSS: 0.00030255, TIME: 7820.5s
STEP [54440], EPOCH [33/100], ITER [1128/1666] 
LOSS: 0.00065096, TIME: 7823.4s
STEP [54460], EPOCH [33/100], ITER [1148/1666] 
LOSS: 0.00086106, TIME: 7826.2s
STEP [54480], EPOCH [33/100], ITER [1168/1666] 
LOSS: 0.00083944, TIME: 7829.1s
STEP [54500], EPOCH [33/100], ITER [1188/1666] 
LOSS: 0.00053258, TIME: 7831.9s
STEP [54520], EPOCH [33/100], ITER [1208/1666] 
LOSS: 0.00065032, TIME: 7834.8s
STEP [54540], EPOCH [33/100], ITER [1228/1666] 
LOSS: 0.00091143, TIME: 7837.6s
STEP [54560], EPOCH [33/100], ITER [1248/1666] 
LOSS: 0.00047272, TIME: 7840.5s
STEP [54580], EPOCH [33/100], ITER [1268/1666] 
LOSS: 0.00069135, TIME: 7843.3s
STEP [54600], EPOCH [33/100], ITER [1288/1666] 
LOSS: 0.00075915, TIME: 7846.2s
STEP [54620], EPOCH [33/100], ITER [1308/1666] 
LOSS: 0.00044723, TIME: 7849.0s
STEP [54640], EPOCH [33/100], ITER [1328/1666] 
LOSS: 0.00064137, TIME: 7851.9s
STEP [54660], EPOCH [33/100], ITER [1348/1666] 
LOSS: 0.00051856, TIME: 7854.7s
STEP [54680], EPOCH [33/100], ITER [1368/1666] 
LOSS: 0.00057699, TIME: 7857.6s
STEP [54700], EPOCH [33/100], ITER [1388/1666] 
LOSS: 0.00065371, TIME: 7860.5s
STEP [54720], EPOCH [33/100], ITER [1408/1666] 
LOSS: 0.00041831, TIME: 7863.3s
STEP [54740], EPOCH [33/100], ITER [1428/1666] 
LOSS: 0.00045297, TIME: 7866.2s
STEP [54760], EPOCH [33/100], ITER [1448/1666] 
LOSS: 0.00030686, TIME: 7869.0s
STEP [54780], EPOCH [33/100], ITER [1468/1666] 
LOSS: 0.00057354, TIME: 7871.9s
STEP [54800], EPOCH [33/100], ITER [1488/1666] 
LOSS: 0.00073862, TIME: 7874.7s
STEP [54820], EPOCH [33/100], ITER [1508/1666] 
LOSS: 0.00071993, TIME: 7877.6s
STEP [54840], EPOCH [33/100], ITER [1528/1666] 
LOSS: 0.00067430, TIME: 7880.4s
STEP [54860], EPOCH [33/100], ITER [1548/1666] 
LOSS: 0.00043253, TIME: 7883.3s
STEP [54880], EPOCH [33/100], ITER [1568/1666] 
LOSS: 0.00044540, TIME: 7886.1s
STEP [54900], EPOCH [33/100], ITER [1588/1666] 
LOSS: 0.00084577, TIME: 7889.0s
STEP [54920], EPOCH [33/100], ITER [1608/1666] 
LOSS: 0.00088123, TIME: 7891.8s
STEP [54940], EPOCH [33/100], ITER [1628/1666] 
LOSS: 0.00095412, TIME: 7894.7s
STEP [54960], EPOCH [33/100], ITER [1648/1666] 
LOSS: 0.00081234, TIME: 7897.6s
STEP [54980], EPOCH [34/100], ITER [2/1666] 
LOSS: 0.00051696, TIME: 7901.8s
STEP [55000], EPOCH [34/100], ITER [22/1666] 
LOSS: 0.00080049, TIME: 7904.7s
STEP [55020], EPOCH [34/100], ITER [42/1666] 
LOSS: 0.00080766, TIME: 7907.6s
STEP [55040], EPOCH [34/100], ITER [62/1666] 
LOSS: 0.00048993, TIME: 7910.5s
STEP [55060], EPOCH [34/100], ITER [82/1666] 
LOSS: 0.00070899, TIME: 7913.3s
STEP [55080], EPOCH [34/100], ITER [102/1666] 
LOSS: 0.00057397, TIME: 7916.2s
STEP [55100], EPOCH [34/100], ITER [122/1666] 
LOSS: 0.00047072, TIME: 7919.0s
STEP [55120], EPOCH [34/100], ITER [142/1666] 
LOSS: 0.00054477, TIME: 7921.9s
STEP [55140], EPOCH [34/100], ITER [162/1666] 
LOSS: 0.00068490, TIME: 7924.7s
STEP [55160], EPOCH [34/100], ITER [182/1666] 
LOSS: 0.00048346, TIME: 7927.6s
STEP [55180], EPOCH [34/100], ITER [202/1666] 
LOSS: 0.00081488, TIME: 7930.4s
STEP [55200], EPOCH [34/100], ITER [222/1666] 
LOSS: 0.00055060, TIME: 7933.3s
STEP [55220], EPOCH [34/100], ITER [242/1666] 
LOSS: 0.00064196, TIME: 7936.1s
STEP [55240], EPOCH [34/100], ITER [262/1666] 
LOSS: 0.00089543, TIME: 7939.0s
STEP [55260], EPOCH [34/100], ITER [282/1666] 
LOSS: 0.00054282, TIME: 7941.8s
STEP [55280], EPOCH [34/100], ITER [302/1666] 
LOSS: 0.00060121, TIME: 7944.7s
STEP [55300], EPOCH [34/100], ITER [322/1666] 
LOSS: 0.00068304, TIME: 7947.5s
STEP [55320], EPOCH [34/100], ITER [342/1666] 
LOSS: 0.00040387, TIME: 7950.4s
STEP [55340], EPOCH [34/100], ITER [362/1666] 
LOSS: 0.00090988, TIME: 7953.2s
STEP [55360], EPOCH [34/100], ITER [382/1666] 
LOSS: 0.00073942, TIME: 7956.1s
STEP [55380], EPOCH [34/100], ITER [402/1666] 
LOSS: 0.00077149, TIME: 7958.9s
STEP [55400], EPOCH [34/100], ITER [422/1666] 
LOSS: 0.00076746, TIME: 7961.8s
STEP [55420], EPOCH [34/100], ITER [442/1666] 
LOSS: 0.00055884, TIME: 7964.6s
STEP [55440], EPOCH [34/100], ITER [462/1666] 
LOSS: 0.00060118, TIME: 7967.5s
STEP [55460], EPOCH [34/100], ITER [482/1666] 
LOSS: 0.00058938, TIME: 7970.3s
STEP [55480], EPOCH [34/100], ITER [502/1666] 
LOSS: 0.00061997, TIME: 7973.2s
STEP [55500], EPOCH [34/100], ITER [522/1666] 
LOSS: 0.00040339, TIME: 7976.0s
STEP [55520], EPOCH [34/100], ITER [542/1666] 
LOSS: 0.00046775, TIME: 7978.9s
STEP [55540], EPOCH [34/100], ITER [562/1666] 
LOSS: 0.00056440, TIME: 7981.7s
STEP [55560], EPOCH [34/100], ITER [582/1666] 
LOSS: 0.00077517, TIME: 7984.6s
STEP [55580], EPOCH [34/100], ITER [602/1666] 
LOSS: 0.00088750, TIME: 7987.4s
STEP [55600], EPOCH [34/100], ITER [622/1666] 
LOSS: 0.00074688, TIME: 7990.3s
STEP [55620], EPOCH [34/100], ITER [642/1666] 
LOSS: 0.00070251, TIME: 7993.2s
STEP [55640], EPOCH [34/100], ITER [662/1666] 
LOSS: 0.00062244, TIME: 7996.0s
STEP [55660], EPOCH [34/100], ITER [682/1666] 
LOSS: 0.00051176, TIME: 7998.9s
STEP [55680], EPOCH [34/100], ITER [702/1666] 
LOSS: 0.00045709, TIME: 8001.7s
STEP [55700], EPOCH [34/100], ITER [722/1666] 
LOSS: 0.00038791, TIME: 8004.6s
STEP [55720], EPOCH [34/100], ITER [742/1666] 
LOSS: 0.00057945, TIME: 8007.4s
STEP [55740], EPOCH [34/100], ITER [762/1666] 
LOSS: 0.00079719, TIME: 8010.3s
STEP [55760], EPOCH [34/100], ITER [782/1666] 
LOSS: 0.00055488, TIME: 8013.1s
STEP [55780], EPOCH [34/100], ITER [802/1666] 
LOSS: 0.00067868, TIME: 8016.0s
STEP [55800], EPOCH [34/100], ITER [822/1666] 
LOSS: 0.00073420, TIME: 8018.8s
STEP [55820], EPOCH [34/100], ITER [842/1666] 
LOSS: 0.00073818, TIME: 8021.7s
STEP [55840], EPOCH [34/100], ITER [862/1666] 
LOSS: 0.00029790, TIME: 8024.5s
STEP [55860], EPOCH [34/100], ITER [882/1666] 
LOSS: 0.00057232, TIME: 8027.4s
STEP [55880], EPOCH [34/100], ITER [902/1666] 
LOSS: 0.00053905, TIME: 8030.2s
STEP [55900], EPOCH [34/100], ITER [922/1666] 
LOSS: 0.00040552, TIME: 8033.1s
STEP [55920], EPOCH [34/100], ITER [942/1666] 
LOSS: 0.00064199, TIME: 8035.9s
STEP [55940], EPOCH [34/100], ITER [962/1666] 
LOSS: 0.00052837, TIME: 8038.8s
STEP [55960], EPOCH [34/100], ITER [982/1666] 
LOSS: 0.00094159, TIME: 8041.6s
STEP [55980], EPOCH [34/100], ITER [1002/1666] 
LOSS: 0.00051469, TIME: 8044.5s
STEP [56000], EPOCH [34/100], ITER [1022/1666] 
LOSS: 0.00064809, TIME: 8047.3s
STEP [56020], EPOCH [34/100], ITER [1042/1666] 
LOSS: 0.00034337, TIME: 8050.3s
STEP [56040], EPOCH [34/100], ITER [1062/1666] 
LOSS: 0.00082632, TIME: 8053.1s
STEP [56060], EPOCH [34/100], ITER [1082/1666] 
LOSS: 0.00044139, TIME: 8056.0s
STEP [56080], EPOCH [34/100], ITER [1102/1666] 
LOSS: 0.00065877, TIME: 8058.8s
STEP [56100], EPOCH [34/100], ITER [1122/1666] 
LOSS: 0.00066030, TIME: 8061.7s
STEP [56120], EPOCH [34/100], ITER [1142/1666] 
LOSS: 0.00037166, TIME: 8064.5s
STEP [56140], EPOCH [34/100], ITER [1162/1666] 
LOSS: 0.00022346, TIME: 8067.4s
STEP [56160], EPOCH [34/100], ITER [1182/1666] 
LOSS: 0.00058827, TIME: 8070.2s
STEP [56180], EPOCH [34/100], ITER [1202/1666] 
LOSS: 0.00064626, TIME: 8073.1s
STEP [56200], EPOCH [34/100], ITER [1222/1666] 
LOSS: 0.00074302, TIME: 8075.9s
STEP [56220], EPOCH [34/100], ITER [1242/1666] 
LOSS: 0.00069031, TIME: 8078.8s
STEP [56240], EPOCH [34/100], ITER [1262/1666] 
LOSS: 0.00097226, TIME: 8081.6s
STEP [56260], EPOCH [34/100], ITER [1282/1666] 
LOSS: 0.00041820, TIME: 8084.5s
STEP [56280], EPOCH [34/100], ITER [1302/1666] 
LOSS: 0.00055385, TIME: 8087.3s
STEP [56300], EPOCH [34/100], ITER [1322/1666] 
LOSS: 0.00053974, TIME: 8090.2s
STEP [56320], EPOCH [34/100], ITER [1342/1666] 
LOSS: 0.00073485, TIME: 8093.0s
STEP [56340], EPOCH [34/100], ITER [1362/1666] 
LOSS: 0.00044790, TIME: 8095.9s
STEP [56360], EPOCH [34/100], ITER [1382/1666] 
LOSS: 0.00118303, TIME: 8098.7s
STEP [56380], EPOCH [34/100], ITER [1402/1666] 
LOSS: 0.00061893, TIME: 8101.6s
STEP [56400], EPOCH [34/100], ITER [1422/1666] 
LOSS: 0.00038924, TIME: 8104.4s
STEP [56420], EPOCH [34/100], ITER [1442/1666] 
LOSS: 0.00066387, TIME: 8107.3s
STEP [56440], EPOCH [34/100], ITER [1462/1666] 
LOSS: 0.00047872, TIME: 8110.1s
STEP [56460], EPOCH [34/100], ITER [1482/1666] 
LOSS: 0.00081431, TIME: 8113.0s
STEP [56480], EPOCH [34/100], ITER [1502/1666] 
LOSS: 0.00101809, TIME: 8115.8s
STEP [56500], EPOCH [34/100], ITER [1522/1666] 
LOSS: 0.00050720, TIME: 8118.7s
STEP [56520], EPOCH [34/100], ITER [1542/1666] 
LOSS: 0.00093914, TIME: 8121.5s
STEP [56540], EPOCH [34/100], ITER [1562/1666] 
LOSS: 0.00057149, TIME: 8124.4s
STEP [56560], EPOCH [34/100], ITER [1582/1666] 
LOSS: 0.00041535, TIME: 8127.2s
STEP [56580], EPOCH [34/100], ITER [1602/1666] 
LOSS: 0.00067087, TIME: 8130.1s
STEP [56600], EPOCH [34/100], ITER [1622/1666] 
LOSS: 0.00082523, TIME: 8132.9s
STEP [56620], EPOCH [34/100], ITER [1642/1666] 
LOSS: 0.00069455, TIME: 8135.8s
STEP [56640], EPOCH [34/100], ITER [1662/1666] 
LOSS: 0.00082583, TIME: 8138.7s
STEP [56660], EPOCH [35/100], ITER [16/1666] 
LOSS: 0.00042089, TIME: 8142.9s
STEP [56680], EPOCH [35/100], ITER [36/1666] 
LOSS: 0.00083111, TIME: 8145.8s
STEP [56700], EPOCH [35/100], ITER [56/1666] 
LOSS: 0.00124508, TIME: 8148.6s
STEP [56720], EPOCH [35/100], ITER [76/1666] 
LOSS: 0.00046115, TIME: 8151.5s
STEP [56740], EPOCH [35/100], ITER [96/1666] 
LOSS: 0.00057649, TIME: 8154.3s
STEP [56760], EPOCH [35/100], ITER [116/1666] 
LOSS: 0.00085445, TIME: 8157.2s
STEP [56780], EPOCH [35/100], ITER [136/1666] 
LOSS: 0.00066413, TIME: 8160.1s
STEP [56800], EPOCH [35/100], ITER [156/1666] 
LOSS: 0.00075531, TIME: 8162.9s
STEP [56820], EPOCH [35/100], ITER [176/1666] 
LOSS: 0.00065197, TIME: 8165.8s
STEP [56840], EPOCH [35/100], ITER [196/1666] 
LOSS: 0.00031776, TIME: 8168.6s
STEP [56860], EPOCH [35/100], ITER [216/1666] 
LOSS: 0.00089454, TIME: 8171.5s
STEP [56880], EPOCH [35/100], ITER [236/1666] 
LOSS: 0.00072533, TIME: 8174.3s
STEP [56900], EPOCH [35/100], ITER [256/1666] 
LOSS: 0.00048601, TIME: 8177.2s
STEP [56920], EPOCH [35/100], ITER [276/1666] 
LOSS: 0.00067746, TIME: 8180.0s
STEP [56940], EPOCH [35/100], ITER [296/1666] 
LOSS: 0.00071116, TIME: 8182.9s
STEP [56960], EPOCH [35/100], ITER [316/1666] 
LOSS: 0.00075815, TIME: 8185.7s
STEP [56980], EPOCH [35/100], ITER [336/1666] 
LOSS: 0.00092501, TIME: 8188.6s
STEP [57000], EPOCH [35/100], ITER [356/1666] 
LOSS: 0.00058455, TIME: 8191.4s
STEP [57020], EPOCH [35/100], ITER [376/1666] 
LOSS: 0.00062973, TIME: 8194.4s
STEP [57040], EPOCH [35/100], ITER [396/1666] 
LOSS: 0.00079860, TIME: 8197.2s
STEP [57060], EPOCH [35/100], ITER [416/1666] 
LOSS: 0.00057598, TIME: 8200.1s
STEP [57080], EPOCH [35/100], ITER [436/1666] 
LOSS: 0.00037767, TIME: 8202.9s
STEP [57100], EPOCH [35/100], ITER [456/1666] 
LOSS: 0.00055754, TIME: 8205.8s
STEP [57120], EPOCH [35/100], ITER [476/1666] 
LOSS: 0.00065903, TIME: 8208.6s
STEP [57140], EPOCH [35/100], ITER [496/1666] 
LOSS: 0.00061292, TIME: 8211.5s
STEP [57160], EPOCH [35/100], ITER [516/1666] 
LOSS: 0.00073446, TIME: 8214.3s
STEP [57180], EPOCH [35/100], ITER [536/1666] 
LOSS: 0.00050706, TIME: 8217.2s
STEP [57200], EPOCH [35/100], ITER [556/1666] 
LOSS: 0.00054277, TIME: 8220.0s
STEP [57220], EPOCH [35/100], ITER [576/1666] 
LOSS: 0.00062566, TIME: 8222.9s
STEP [57240], EPOCH [35/100], ITER [596/1666] 
LOSS: 0.00047400, TIME: 8225.7s
STEP [57260], EPOCH [35/100], ITER [616/1666] 
LOSS: 0.00043835, TIME: 8228.6s
STEP [57280], EPOCH [35/100], ITER [636/1666] 
LOSS: 0.00099353, TIME: 8231.4s
STEP [57300], EPOCH [35/100], ITER [656/1666] 
LOSS: 0.00054302, TIME: 8234.3s
STEP [57320], EPOCH [35/100], ITER [676/1666] 
LOSS: 0.00050165, TIME: 8237.1s
STEP [57340], EPOCH [35/100], ITER [696/1666] 
LOSS: 0.00049500, TIME: 8240.0s
STEP [57360], EPOCH [35/100], ITER [716/1666] 
LOSS: 0.00063916, TIME: 8242.8s
STEP [57380], EPOCH [35/100], ITER [736/1666] 
LOSS: 0.00068846, TIME: 8245.7s
STEP [57400], EPOCH [35/100], ITER [756/1666] 
LOSS: 0.00040532, TIME: 8248.6s
STEP [57420], EPOCH [35/100], ITER [776/1666] 
LOSS: 0.00045018, TIME: 8251.4s
STEP [57440], EPOCH [35/100], ITER [796/1666] 
LOSS: 0.00066018, TIME: 8254.3s
STEP [57460], EPOCH [35/100], ITER [816/1666] 
LOSS: 0.00063984, TIME: 8257.1s
STEP [57480], EPOCH [35/100], ITER [836/1666] 
LOSS: 0.00066727, TIME: 8260.0s
STEP [57500], EPOCH [35/100], ITER [856/1666] 
LOSS: 0.00052650, TIME: 8262.8s
STEP [57520], EPOCH [35/100], ITER [876/1666] 
LOSS: 0.00060322, TIME: 8265.7s
STEP [57540], EPOCH [35/100], ITER [896/1666] 
LOSS: 0.00047112, TIME: 8268.5s
STEP [57560], EPOCH [35/100], ITER [916/1666] 
LOSS: 0.00045890, TIME: 8271.4s
STEP [57580], EPOCH [35/100], ITER [936/1666] 
LOSS: 0.00053879, TIME: 8274.2s
STEP [57600], EPOCH [35/100], ITER [956/1666] 
LOSS: 0.00093653, TIME: 8277.1s
STEP [57620], EPOCH [35/100], ITER [976/1666] 
LOSS: 0.00043919, TIME: 8279.9s
STEP [57640], EPOCH [35/100], ITER [996/1666] 
LOSS: 0.00057781, TIME: 8282.8s
STEP [57660], EPOCH [35/100], ITER [1016/1666] 
LOSS: 0.00041282, TIME: 8285.6s
STEP [57680], EPOCH [35/100], ITER [1036/1666] 
LOSS: 0.00041299, TIME: 8288.5s
STEP [57700], EPOCH [35/100], ITER [1056/1666] 
LOSS: 0.00048274, TIME: 8291.3s
STEP [57720], EPOCH [35/100], ITER [1076/1666] 
LOSS: 0.00105371, TIME: 8294.2s
STEP [57740], EPOCH [35/100], ITER [1096/1666] 
LOSS: 0.00058123, TIME: 8297.0s
STEP [57760], EPOCH [35/100], ITER [1116/1666] 
LOSS: 0.00063393, TIME: 8299.9s
STEP [57780], EPOCH [35/100], ITER [1136/1666] 
LOSS: 0.00061474, TIME: 8302.7s
STEP [57800], EPOCH [35/100], ITER [1156/1666] 
LOSS: 0.00048152, TIME: 8305.6s
STEP [57820], EPOCH [35/100], ITER [1176/1666] 
LOSS: 0.00053117, TIME: 8308.4s
STEP [57840], EPOCH [35/100], ITER [1196/1666] 
LOSS: 0.00036170, TIME: 8311.3s
STEP [57860], EPOCH [35/100], ITER [1216/1666] 
LOSS: 0.00089952, TIME: 8314.1s
STEP [57880], EPOCH [35/100], ITER [1236/1666] 
LOSS: 0.00079113, TIME: 8317.0s
STEP [57900], EPOCH [35/100], ITER [1256/1666] 
LOSS: 0.00070841, TIME: 8319.8s
STEP [57920], EPOCH [35/100], ITER [1276/1666] 
LOSS: 0.00039009, TIME: 8322.7s
STEP [57940], EPOCH [35/100], ITER [1296/1666] 
LOSS: 0.00073375, TIME: 8325.5s
STEP [57960], EPOCH [35/100], ITER [1316/1666] 
LOSS: 0.00040008, TIME: 8328.4s
STEP [57980], EPOCH [35/100], ITER [1336/1666] 
LOSS: 0.00063051, TIME: 8331.2s
STEP [58000], EPOCH [35/100], ITER [1356/1666] 
LOSS: 0.00055119, TIME: 8334.1s
STEP [58020], EPOCH [35/100], ITER [1376/1666] 
LOSS: 0.00073986, TIME: 8337.0s
STEP [58040], EPOCH [35/100], ITER [1396/1666] 
LOSS: 0.00063273, TIME: 8339.9s
STEP [58060], EPOCH [35/100], ITER [1416/1666] 
LOSS: 0.00147807, TIME: 8342.7s
STEP [58080], EPOCH [35/100], ITER [1436/1666] 
LOSS: 0.00042625, TIME: 8345.6s
STEP [58100], EPOCH [35/100], ITER [1456/1666] 
LOSS: 0.00068346, TIME: 8348.4s
STEP [58120], EPOCH [35/100], ITER [1476/1666] 
LOSS: 0.00051133, TIME: 8351.3s
STEP [58140], EPOCH [35/100], ITER [1496/1666] 
LOSS: 0.00032660, TIME: 8354.1s
STEP [58160], EPOCH [35/100], ITER [1516/1666] 
LOSS: 0.00041565, TIME: 8357.0s
STEP [58180], EPOCH [35/100], ITER [1536/1666] 
LOSS: 0.00056419, TIME: 8359.8s
STEP [58200], EPOCH [35/100], ITER [1556/1666] 
LOSS: 0.00085511, TIME: 8362.7s
STEP [58220], EPOCH [35/100], ITER [1576/1666] 
LOSS: 0.00048776, TIME: 8365.5s
STEP [58240], EPOCH [35/100], ITER [1596/1666] 
LOSS: 0.00050380, TIME: 8368.4s
STEP [58260], EPOCH [35/100], ITER [1616/1666] 
LOSS: 0.00052724, TIME: 8371.2s
STEP [58280], EPOCH [35/100], ITER [1636/1666] 
LOSS: 0.00062225, TIME: 8374.1s
STEP [58300], EPOCH [35/100], ITER [1656/1666] 
LOSS: 0.00113074, TIME: 8376.9s
STEP [58320], EPOCH [36/100], ITER [10/1666] 
LOSS: 0.00068593, TIME: 8381.2s
STEP [58340], EPOCH [36/100], ITER [30/1666] 
LOSS: 0.00064112, TIME: 8384.0s
STEP [58360], EPOCH [36/100], ITER [50/1666] 
LOSS: 0.00064945, TIME: 8386.9s
STEP [58380], EPOCH [36/100], ITER [70/1666] 
LOSS: 0.00051466, TIME: 8389.7s
STEP [58400], EPOCH [36/100], ITER [90/1666] 
LOSS: 0.00084961, TIME: 8392.6s
STEP [58420], EPOCH [36/100], ITER [110/1666] 
LOSS: 0.00077671, TIME: 8395.4s
STEP [58440], EPOCH [36/100], ITER [130/1666] 
LOSS: 0.00053747, TIME: 8398.3s
STEP [58460], EPOCH [36/100], ITER [150/1666] 
LOSS: 0.00046561, TIME: 8401.1s
STEP [58480], EPOCH [36/100], ITER [170/1666] 
LOSS: 0.00090374, TIME: 8404.0s
STEP [58500], EPOCH [36/100], ITER [190/1666] 
LOSS: 0.00057212, TIME: 8406.8s
STEP [58520], EPOCH [36/100], ITER [210/1666] 
LOSS: 0.00078353, TIME: 8409.7s
STEP [58540], EPOCH [36/100], ITER [230/1666] 
LOSS: 0.00071805, TIME: 8412.5s
STEP [58560], EPOCH [36/100], ITER [250/1666] 
LOSS: 0.00061110, TIME: 8415.4s
STEP [58580], EPOCH [36/100], ITER [270/1666] 
LOSS: 0.00103957, TIME: 8418.2s
STEP [58600], EPOCH [36/100], ITER [290/1666] 
LOSS: 0.00053728, TIME: 8421.1s
STEP [58620], EPOCH [36/100], ITER [310/1666] 
LOSS: 0.00060574, TIME: 8423.9s
STEP [58640], EPOCH [36/100], ITER [330/1666] 
LOSS: 0.00098626, TIME: 8426.8s
STEP [58660], EPOCH [36/100], ITER [350/1666] 
LOSS: 0.00090438, TIME: 8429.7s
STEP [58680], EPOCH [36/100], ITER [370/1666] 
LOSS: 0.00060901, TIME: 8432.5s
STEP [58700], EPOCH [36/100], ITER [390/1666] 
LOSS: 0.00059514, TIME: 8435.4s
STEP [58720], EPOCH [36/100], ITER [410/1666] 
LOSS: 0.00056136, TIME: 8438.2s
STEP [58740], EPOCH [36/100], ITER [430/1666] 
LOSS: 0.00038269, TIME: 8441.1s
STEP [58760], EPOCH [36/100], ITER [450/1666] 
LOSS: 0.00054953, TIME: 8443.9s
STEP [58780], EPOCH [36/100], ITER [470/1666] 
LOSS: 0.00073342, TIME: 8446.8s
STEP [58800], EPOCH [36/100], ITER [490/1666] 
LOSS: 0.00058049, TIME: 8449.6s
STEP [58820], EPOCH [36/100], ITER [510/1666] 
LOSS: 0.00048791, TIME: 8452.5s
STEP [58840], EPOCH [36/100], ITER [530/1666] 
LOSS: 0.00067976, TIME: 8455.3s
STEP [58860], EPOCH [36/100], ITER [550/1666] 
LOSS: 0.00060330, TIME: 8458.2s
STEP [58880], EPOCH [36/100], ITER [570/1666] 
LOSS: 0.00067776, TIME: 8461.0s
STEP [58900], EPOCH [36/100], ITER [590/1666] 
LOSS: 0.00062286, TIME: 8463.9s
STEP [58920], EPOCH [36/100], ITER [610/1666] 
LOSS: 0.00033517, TIME: 8466.7s
STEP [58940], EPOCH [36/100], ITER [630/1666] 
LOSS: 0.00050654, TIME: 8469.6s
STEP [58960], EPOCH [36/100], ITER [650/1666] 
LOSS: 0.00049408, TIME: 8472.4s
STEP [58980], EPOCH [36/100], ITER [670/1666] 
LOSS: 0.00052159, TIME: 8475.3s
STEP [59000], EPOCH [36/100], ITER [690/1666] 
LOSS: 0.00036656, TIME: 8478.1s
STEP [59020], EPOCH [36/100], ITER [710/1666] 
LOSS: 0.00039014, TIME: 8481.0s
STEP [59040], EPOCH [36/100], ITER [730/1666] 
LOSS: 0.00062638, TIME: 8483.9s
STEP [59060], EPOCH [36/100], ITER [750/1666] 
LOSS: 0.00083444, TIME: 8486.7s
STEP [59080], EPOCH [36/100], ITER [770/1666] 
LOSS: 0.00040784, TIME: 8489.6s
STEP [59100], EPOCH [36/100], ITER [790/1666] 
LOSS: 0.00040770, TIME: 8492.5s
STEP [59120], EPOCH [36/100], ITER [810/1666] 
LOSS: 0.00044683, TIME: 8495.3s
STEP [59140], EPOCH [36/100], ITER [830/1666] 
LOSS: 0.00073857, TIME: 8498.2s
STEP [59160], EPOCH [36/100], ITER [850/1666] 
LOSS: 0.00057449, TIME: 8501.0s
STEP [59180], EPOCH [36/100], ITER [870/1666] 
LOSS: 0.00072569, TIME: 8503.9s
STEP [59200], EPOCH [36/100], ITER [890/1666] 
LOSS: 0.00070911, TIME: 8506.7s
STEP [59220], EPOCH [36/100], ITER [910/1666] 
LOSS: 0.00035732, TIME: 8509.6s
STEP [59240], EPOCH [36/100], ITER [930/1666] 
LOSS: 0.00064047, TIME: 8512.4s
STEP [59260], EPOCH [36/100], ITER [950/1666] 
LOSS: 0.00050329, TIME: 8515.3s
STEP [59280], EPOCH [36/100], ITER [970/1666] 
LOSS: 0.00049831, TIME: 8518.1s
STEP [59300], EPOCH [36/100], ITER [990/1666] 
LOSS: 0.00034287, TIME: 8521.0s
STEP [59320], EPOCH [36/100], ITER [1010/1666] 
LOSS: 0.00063505, TIME: 8523.8s
STEP [59340], EPOCH [36/100], ITER [1030/1666] 
LOSS: 0.00054315, TIME: 8526.7s
STEP [59360], EPOCH [36/100], ITER [1050/1666] 
LOSS: 0.00065844, TIME: 8529.5s
STEP [59380], EPOCH [36/100], ITER [1070/1666] 
LOSS: 0.00044889, TIME: 8532.4s
STEP [59400], EPOCH [36/100], ITER [1090/1666] 
LOSS: 0.00045184, TIME: 8535.2s
STEP [59420], EPOCH [36/100], ITER [1110/1666] 
LOSS: 0.00049240, TIME: 8538.1s
STEP [59440], EPOCH [36/100], ITER [1130/1666] 
LOSS: 0.00064277, TIME: 8540.9s
STEP [59460], EPOCH [36/100], ITER [1150/1666] 
LOSS: 0.00083625, TIME: 8543.8s
STEP [59480], EPOCH [36/100], ITER [1170/1666] 
LOSS: 0.00056362, TIME: 8546.7s
STEP [59500], EPOCH [36/100], ITER [1190/1666] 
LOSS: 0.00057423, TIME: 8549.5s
STEP [59520], EPOCH [36/100], ITER [1210/1666] 
LOSS: 0.00045419, TIME: 8552.4s
STEP [59540], EPOCH [36/100], ITER [1230/1666] 
LOSS: 0.00094646, TIME: 8555.2s
STEP [59560], EPOCH [36/100], ITER [1250/1666] 
LOSS: 0.00048800, TIME: 8558.1s
STEP [59580], EPOCH [36/100], ITER [1270/1666] 
LOSS: 0.00046272, TIME: 8560.9s
STEP [59600], EPOCH [36/100], ITER [1290/1666] 
LOSS: 0.00050994, TIME: 8563.8s
STEP [59620], EPOCH [36/100], ITER [1310/1666] 
LOSS: 0.00062473, TIME: 8566.6s
STEP [59640], EPOCH [36/100], ITER [1330/1666] 
LOSS: 0.00053172, TIME: 8569.5s
STEP [59660], EPOCH [36/100], ITER [1350/1666] 
LOSS: 0.00060886, TIME: 8572.3s
STEP [59680], EPOCH [36/100], ITER [1370/1666] 
LOSS: 0.00060824, TIME: 8575.2s
STEP [59700], EPOCH [36/100], ITER [1390/1666] 
LOSS: 0.00048297, TIME: 8578.0s
STEP [59720], EPOCH [36/100], ITER [1410/1666] 
LOSS: 0.00113690, TIME: 8580.9s
STEP [59740], EPOCH [36/100], ITER [1430/1666] 
LOSS: 0.00055393, TIME: 8583.7s
STEP [59760], EPOCH [36/100], ITER [1450/1666] 
LOSS: 0.00043875, TIME: 8586.6s
STEP [59780], EPOCH [36/100], ITER [1470/1666] 
LOSS: 0.00037685, TIME: 8589.5s
STEP [59800], EPOCH [36/100], ITER [1490/1666] 
LOSS: 0.00088589, TIME: 8592.3s
STEP [59820], EPOCH [36/100], ITER [1510/1666] 
LOSS: 0.00038973, TIME: 8595.2s
STEP [59840], EPOCH [36/100], ITER [1530/1666] 
LOSS: 0.00084367, TIME: 8598.0s
STEP [59860], EPOCH [36/100], ITER [1550/1666] 
LOSS: 0.00060456, TIME: 8600.9s
STEP [59880], EPOCH [36/100], ITER [1570/1666] 
LOSS: 0.00090535, TIME: 8603.7s
STEP [59900], EPOCH [36/100], ITER [1590/1666] 
LOSS: 0.00050197, TIME: 8606.6s
STEP [59920], EPOCH [36/100], ITER [1610/1666] 
LOSS: 0.00075209, TIME: 8609.4s
STEP [59940], EPOCH [36/100], ITER [1630/1666] 
LOSS: 0.00052409, TIME: 8612.3s
STEP [59960], EPOCH [36/100], ITER [1650/1666] 
LOSS: 0.00055319, TIME: 8615.1s
STEP [59980], EPOCH [37/100], ITER [4/1666] 
LOSS: 0.00059228, TIME: 8619.4s
STEP [60000], EPOCH [37/100], ITER [24/1666] 
LOSS: 0.00046548, TIME: 8622.3s
STEP [60020], EPOCH [37/100], ITER [44/1666] 
LOSS: 0.00048144, TIME: 8625.2s
STEP [60040], EPOCH [37/100], ITER [64/1666] 
LOSS: 0.00076671, TIME: 8628.1s
STEP [60060], EPOCH [37/100], ITER [84/1666] 
LOSS: 0.00043119, TIME: 8630.9s
STEP [60080], EPOCH [37/100], ITER [104/1666] 
LOSS: 0.00089255, TIME: 8633.8s
STEP [60100], EPOCH [37/100], ITER [124/1666] 
LOSS: 0.00074830, TIME: 8636.6s
STEP [60120], EPOCH [37/100], ITER [144/1666] 
LOSS: 0.00077088, TIME: 8639.5s
STEP [60140], EPOCH [37/100], ITER [164/1666] 
LOSS: 0.00074278, TIME: 8642.3s
STEP [60160], EPOCH [37/100], ITER [184/1666] 
LOSS: 0.00051009, TIME: 8645.2s
STEP [60180], EPOCH [37/100], ITER [204/1666] 
LOSS: 0.00065873, TIME: 8648.0s
STEP [60200], EPOCH [37/100], ITER [224/1666] 
LOSS: 0.00032600, TIME: 8650.9s
STEP [60220], EPOCH [37/100], ITER [244/1666] 
LOSS: 0.00066910, TIME: 8653.7s
STEP [60240], EPOCH [37/100], ITER [264/1666] 
LOSS: 0.00075554, TIME: 8656.6s
STEP [60260], EPOCH [37/100], ITER [284/1666] 
LOSS: 0.00072010, TIME: 8659.4s
STEP [60280], EPOCH [37/100], ITER [304/1666] 
LOSS: 0.00050448, TIME: 8662.3s
STEP [60300], EPOCH [37/100], ITER [324/1666] 
LOSS: 0.00042999, TIME: 8665.1s
STEP [60320], EPOCH [37/100], ITER [344/1666] 
LOSS: 0.00052763, TIME: 8668.0s
STEP [60340], EPOCH [37/100], ITER [364/1666] 
LOSS: 0.00040294, TIME: 8670.9s
STEP [60360], EPOCH [37/100], ITER [384/1666] 
LOSS: 0.00083444, TIME: 8673.7s
STEP [60380], EPOCH [37/100], ITER [404/1666] 
LOSS: 0.00070076, TIME: 8676.6s
STEP [60400], EPOCH [37/100], ITER [424/1666] 
LOSS: 0.00062529, TIME: 8679.4s
STEP [60420], EPOCH [37/100], ITER [444/1666] 
LOSS: 0.00055720, TIME: 8682.3s
STEP [60440], EPOCH [37/100], ITER [464/1666] 
LOSS: 0.00073775, TIME: 8685.1s
STEP [60460], EPOCH [37/100], ITER [484/1666] 
LOSS: 0.00069542, TIME: 8688.0s
STEP [60480], EPOCH [37/100], ITER [504/1666] 
LOSS: 0.00063302, TIME: 8690.8s
STEP [60500], EPOCH [37/100], ITER [524/1666] 
LOSS: 0.00064525, TIME: 8693.7s
STEP [60520], EPOCH [37/100], ITER [544/1666] 
LOSS: 0.00043600, TIME: 8696.5s
STEP [60540], EPOCH [37/100], ITER [564/1666] 
LOSS: 0.00061701, TIME: 8699.4s
STEP [60560], EPOCH [37/100], ITER [584/1666] 
LOSS: 0.00058236, TIME: 8702.2s
STEP [60580], EPOCH [37/100], ITER [604/1666] 
LOSS: 0.00073368, TIME: 8705.1s
STEP [60600], EPOCH [37/100], ITER [624/1666] 
LOSS: 0.00078414, TIME: 8707.9s
STEP [60620], EPOCH [37/100], ITER [644/1666] 
LOSS: 0.00081602, TIME: 8710.8s
STEP [60640], EPOCH [37/100], ITER [664/1666] 
LOSS: 0.00063572, TIME: 8713.6s
STEP [60660], EPOCH [37/100], ITER [684/1666] 
LOSS: 0.00058422, TIME: 8716.5s
STEP [60680], EPOCH [37/100], ITER [704/1666] 
LOSS: 0.00043796, TIME: 8719.3s
STEP [60700], EPOCH [37/100], ITER [724/1666] 
LOSS: 0.00052708, TIME: 8722.2s
STEP [60720], EPOCH [37/100], ITER [744/1666] 
LOSS: 0.00060148, TIME: 8725.0s
STEP [60740], EPOCH [37/100], ITER [764/1666] 
LOSS: 0.00092486, TIME: 8727.9s
STEP [60760], EPOCH [37/100], ITER [784/1666] 
LOSS: 0.00059524, TIME: 8730.7s
STEP [60780], EPOCH [37/100], ITER [804/1666] 
LOSS: 0.00056426, TIME: 8733.6s
STEP [60800], EPOCH [37/100], ITER [824/1666] 
LOSS: 0.00058867, TIME: 8736.4s
STEP [60820], EPOCH [37/100], ITER [844/1666] 
LOSS: 0.00040786, TIME: 8739.3s
STEP [60840], EPOCH [37/100], ITER [864/1666] 
LOSS: 0.00061025, TIME: 8742.2s
STEP [60860], EPOCH [37/100], ITER [884/1666] 
LOSS: 0.00085199, TIME: 8745.0s
STEP [60880], EPOCH [37/100], ITER [904/1666] 
LOSS: 0.00046533, TIME: 8747.9s
STEP [60900], EPOCH [37/100], ITER [924/1666] 
LOSS: 0.00058038, TIME: 8750.7s
STEP [60920], EPOCH [37/100], ITER [944/1666] 
LOSS: 0.00047918, TIME: 8753.6s
STEP [60940], EPOCH [37/100], ITER [964/1666] 
LOSS: 0.00060330, TIME: 8756.4s
STEP [60960], EPOCH [37/100], ITER [984/1666] 
LOSS: 0.00075114, TIME: 8759.3s
STEP [60980], EPOCH [37/100], ITER [1004/1666] 
LOSS: 0.00059455, TIME: 8762.1s
STEP [61000], EPOCH [37/100], ITER [1024/1666] 
LOSS: 0.00049606, TIME: 8765.0s
STEP [61020], EPOCH [37/100], ITER [1044/1666] 
LOSS: 0.00038631, TIME: 8767.9s
STEP [61040], EPOCH [37/100], ITER [1064/1666] 
LOSS: 0.00079690, TIME: 8770.8s
STEP [61060], EPOCH [37/100], ITER [1084/1666] 
LOSS: 0.00068421, TIME: 8773.6s
STEP [61080], EPOCH [37/100], ITER [1104/1666] 
LOSS: 0.00058796, TIME: 8776.5s
STEP [61100], EPOCH [37/100], ITER [1124/1666] 
LOSS: 0.00083117, TIME: 8779.3s
STEP [61120], EPOCH [37/100], ITER [1144/1666] 
LOSS: 0.00051682, TIME: 8782.2s
STEP [61140], EPOCH [37/100], ITER [1164/1666] 
LOSS: 0.00063155, TIME: 8785.0s
STEP [61160], EPOCH [37/100], ITER [1184/1666] 
LOSS: 0.00045292, TIME: 8787.9s
STEP [61180], EPOCH [37/100], ITER [1204/1666] 
LOSS: 0.00049688, TIME: 8790.7s
STEP [61200], EPOCH [37/100], ITER [1224/1666] 
LOSS: 0.00049804, TIME: 8793.6s
STEP [61220], EPOCH [37/100], ITER [1244/1666] 
LOSS: 0.00027839, TIME: 8796.4s
STEP [61240], EPOCH [37/100], ITER [1264/1666] 
LOSS: 0.00029754, TIME: 8799.3s
STEP [61260], EPOCH [37/100], ITER [1284/1666] 
LOSS: 0.00142482, TIME: 8802.1s
STEP [61280], EPOCH [37/100], ITER [1304/1666] 
LOSS: 0.00046962, TIME: 8805.0s
STEP [61300], EPOCH [37/100], ITER [1324/1666] 
LOSS: 0.00053222, TIME: 8807.9s
STEP [61320], EPOCH [37/100], ITER [1344/1666] 
LOSS: 0.00053002, TIME: 8810.7s
STEP [61340], EPOCH [37/100], ITER [1364/1666] 
LOSS: 0.00053725, TIME: 8813.6s
STEP [61360], EPOCH [37/100], ITER [1384/1666] 
LOSS: 0.00087887, TIME: 8816.4s
STEP [61380], EPOCH [37/100], ITER [1404/1666] 
LOSS: 0.00082582, TIME: 8819.3s
STEP [61400], EPOCH [37/100], ITER [1424/1666] 
LOSS: 0.00065043, TIME: 8822.1s
STEP [61420], EPOCH [37/100], ITER [1444/1666] 
LOSS: 0.00069721, TIME: 8825.0s
STEP [61440], EPOCH [37/100], ITER [1464/1666] 
LOSS: 0.00054230, TIME: 8827.8s
STEP [61460], EPOCH [37/100], ITER [1484/1666] 
LOSS: 0.00067321, TIME: 8830.7s
STEP [61480], EPOCH [37/100], ITER [1504/1666] 
LOSS: 0.00081672, TIME: 8833.5s
STEP [61500], EPOCH [37/100], ITER [1524/1666] 
LOSS: 0.00064819, TIME: 8836.4s
STEP [61520], EPOCH [37/100], ITER [1544/1666] 
LOSS: 0.00070091, TIME: 8839.2s
STEP [61540], EPOCH [37/100], ITER [1564/1666] 
LOSS: 0.00065301, TIME: 8842.1s
STEP [61560], EPOCH [37/100], ITER [1584/1666] 
LOSS: 0.00078674, TIME: 8844.9s
STEP [61580], EPOCH [37/100], ITER [1604/1666] 
LOSS: 0.00066325, TIME: 8847.8s
STEP [61600], EPOCH [37/100], ITER [1624/1666] 
LOSS: 0.00041234, TIME: 8850.7s
STEP [61620], EPOCH [37/100], ITER [1644/1666] 
LOSS: 0.00066266, TIME: 8853.5s
STEP [61640], EPOCH [37/100], ITER [1664/1666] 
LOSS: 0.00084428, TIME: 8856.4s
STEP [61660], EPOCH [38/100], ITER [18/1666] 
LOSS: 0.00059130, TIME: 8860.7s
STEP [61680], EPOCH [38/100], ITER [38/1666] 
LOSS: 0.00076239, TIME: 8863.6s
STEP [61700], EPOCH [38/100], ITER [58/1666] 
LOSS: 0.00079283, TIME: 8866.4s
STEP [61720], EPOCH [38/100], ITER [78/1666] 
LOSS: 0.00044518, TIME: 8869.3s
STEP [61740], EPOCH [38/100], ITER [98/1666] 
LOSS: 0.00044851, TIME: 8872.1s
STEP [61760], EPOCH [38/100], ITER [118/1666] 
LOSS: 0.00047176, TIME: 8875.0s
STEP [61780], EPOCH [38/100], ITER [138/1666] 
LOSS: 0.00042421, TIME: 8877.8s
STEP [61800], EPOCH [38/100], ITER [158/1666] 
LOSS: 0.00084868, TIME: 8880.7s
STEP [61820], EPOCH [38/100], ITER [178/1666] 
LOSS: 0.00065379, TIME: 8883.5s
STEP [61840], EPOCH [38/100], ITER [198/1666] 
LOSS: 0.00040293, TIME: 8886.4s
STEP [61860], EPOCH [38/100], ITER [218/1666] 
LOSS: 0.00063346, TIME: 8889.3s
STEP [61880], EPOCH [38/100], ITER [238/1666] 
LOSS: 0.00038171, TIME: 8892.1s
STEP [61900], EPOCH [38/100], ITER [258/1666] 
LOSS: 0.00053641, TIME: 8895.0s
STEP [61920], EPOCH [38/100], ITER [278/1666] 
LOSS: 0.00044335, TIME: 8897.8s
STEP [61940], EPOCH [38/100], ITER [298/1666] 
LOSS: 0.00061076, TIME: 8900.7s
STEP [61960], EPOCH [38/100], ITER [318/1666] 
LOSS: 0.00040133, TIME: 8903.5s
STEP [61980], EPOCH [38/100], ITER [338/1666] 
LOSS: 0.00030495, TIME: 8906.4s
STEP [62000], EPOCH [38/100], ITER [358/1666] 
LOSS: 0.00051364, TIME: 8909.2s
STEP [62020], EPOCH [38/100], ITER [378/1666] 
LOSS: 0.00086870, TIME: 8912.2s
STEP [62040], EPOCH [38/100], ITER [398/1666] 
LOSS: 0.00054919, TIME: 8915.0s
STEP [62060], EPOCH [38/100], ITER [418/1666] 
LOSS: 0.00066007, TIME: 8917.9s
STEP [62080], EPOCH [38/100], ITER [438/1666] 
LOSS: 0.00062029, TIME: 8920.7s
STEP [62100], EPOCH [38/100], ITER [458/1666] 
LOSS: 0.00055983, TIME: 8923.6s
STEP [62120], EPOCH [38/100], ITER [478/1666] 
LOSS: 0.00050689, TIME: 8926.4s
STEP [62140], EPOCH [38/100], ITER [498/1666] 
LOSS: 0.00069593, TIME: 8929.3s
STEP [62160], EPOCH [38/100], ITER [518/1666] 
LOSS: 0.00047967, TIME: 8932.1s
STEP [62180], EPOCH [38/100], ITER [538/1666] 
LOSS: 0.00046831, TIME: 8935.0s
STEP [62200], EPOCH [38/100], ITER [558/1666] 
LOSS: 0.00067156, TIME: 8937.8s
STEP [62220], EPOCH [38/100], ITER [578/1666] 
LOSS: 0.00060450, TIME: 8940.7s
STEP [62240], EPOCH [38/100], ITER [598/1666] 
LOSS: 0.00062574, TIME: 8943.5s
STEP [62260], EPOCH [38/100], ITER [618/1666] 
LOSS: 0.00057389, TIME: 8946.4s
STEP [62280], EPOCH [38/100], ITER [638/1666] 
LOSS: 0.00071564, TIME: 8949.2s
STEP [62300], EPOCH [38/100], ITER [658/1666] 
LOSS: 0.00061173, TIME: 8952.1s
STEP [62320], EPOCH [38/100], ITER [678/1666] 
LOSS: 0.00048959, TIME: 8954.9s
STEP [62340], EPOCH [38/100], ITER [698/1666] 
LOSS: 0.00147648, TIME: 8957.8s
STEP [62360], EPOCH [38/100], ITER [718/1666] 
LOSS: 0.00076683, TIME: 8960.6s
STEP [62380], EPOCH [38/100], ITER [738/1666] 
LOSS: 0.00045834, TIME: 8963.5s
STEP [62400], EPOCH [38/100], ITER [758/1666] 
LOSS: 0.00059585, TIME: 8966.3s
STEP [62420], EPOCH [38/100], ITER [778/1666] 
LOSS: 0.00052187, TIME: 8969.2s
STEP [62440], EPOCH [38/100], ITER [798/1666] 
LOSS: 0.00046938, TIME: 8972.0s
STEP [62460], EPOCH [38/100], ITER [818/1666] 
LOSS: 0.00059986, TIME: 8974.9s
STEP [62480], EPOCH [38/100], ITER [838/1666] 
LOSS: 0.00074257, TIME: 8977.7s
STEP [62500], EPOCH [38/100], ITER [858/1666] 
LOSS: 0.00063183, TIME: 8980.6s
STEP [62520], EPOCH [38/100], ITER [878/1666] 
LOSS: 0.00038440, TIME: 8983.5s
STEP [62540], EPOCH [38/100], ITER [898/1666] 
LOSS: 0.00051177, TIME: 8986.3s
STEP [62560], EPOCH [38/100], ITER [918/1666] 
LOSS: 0.00066353, TIME: 8989.2s
STEP [62580], EPOCH [38/100], ITER [938/1666] 
LOSS: 0.00072401, TIME: 8992.0s
STEP [62600], EPOCH [38/100], ITER [958/1666] 
LOSS: 0.00057919, TIME: 8994.9s
STEP [62620], EPOCH [38/100], ITER [978/1666] 
LOSS: 0.00057997, TIME: 8997.7s
STEP [62640], EPOCH [38/100], ITER [998/1666] 
LOSS: 0.00085599, TIME: 9000.6s
STEP [62660], EPOCH [38/100], ITER [1018/1666] 
LOSS: 0.00051615, TIME: 9003.4s
STEP [62680], EPOCH [38/100], ITER [1038/1666] 
LOSS: 0.00059111, TIME: 9006.3s
STEP [62700], EPOCH [38/100], ITER [1058/1666] 
LOSS: 0.00079684, TIME: 9009.1s
STEP [62720], EPOCH [38/100], ITER [1078/1666] 
LOSS: 0.00075524, TIME: 9012.0s
STEP [62740], EPOCH [38/100], ITER [1098/1666] 
LOSS: 0.00040315, TIME: 9014.8s
STEP [62760], EPOCH [38/100], ITER [1118/1666] 
LOSS: 0.00047658, TIME: 9017.7s
STEP [62780], EPOCH [38/100], ITER [1138/1666] 
LOSS: 0.00033736, TIME: 9020.5s
STEP [62800], EPOCH [38/100], ITER [1158/1666] 
LOSS: 0.00074429, TIME: 9023.4s
STEP [62820], EPOCH [38/100], ITER [1178/1666] 
LOSS: 0.00081172, TIME: 9026.2s
STEP [62840], EPOCH [38/100], ITER [1198/1666] 
LOSS: 0.00061995, TIME: 9029.1s
STEP [62860], EPOCH [38/100], ITER [1218/1666] 
LOSS: 0.00085886, TIME: 9031.9s
STEP [62880], EPOCH [38/100], ITER [1238/1666] 
LOSS: 0.00069890, TIME: 9034.8s
STEP [62900], EPOCH [38/100], ITER [1258/1666] 
LOSS: 0.00079515, TIME: 9037.6s
STEP [62920], EPOCH [38/100], ITER [1278/1666] 
LOSS: 0.00061492, TIME: 9040.5s
STEP [62940], EPOCH [38/100], ITER [1298/1666] 
LOSS: 0.00048506, TIME: 9043.3s
STEP [62960], EPOCH [38/100], ITER [1318/1666] 
LOSS: 0.00046097, TIME: 9046.2s
STEP [62980], EPOCH [38/100], ITER [1338/1666] 
LOSS: 0.00072669, TIME: 9049.0s
STEP [63000], EPOCH [38/100], ITER [1358/1666] 
LOSS: 0.00063752, TIME: 9051.9s
STEP [63020], EPOCH [38/100], ITER [1378/1666] 
LOSS: 0.00110558, TIME: 9054.8s
STEP [63040], EPOCH [38/100], ITER [1398/1666] 
LOSS: 0.00076164, TIME: 9057.7s
STEP [63060], EPOCH [38/100], ITER [1418/1666] 
LOSS: 0.00068752, TIME: 9060.5s
STEP [63080], EPOCH [38/100], ITER [1438/1666] 
LOSS: 0.00053726, TIME: 9063.4s
STEP [63100], EPOCH [38/100], ITER [1458/1666] 
LOSS: 0.00039658, TIME: 9066.2s
STEP [63120], EPOCH [38/100], ITER [1478/1666] 
LOSS: 0.00079441, TIME: 9069.1s
STEP [63140], EPOCH [38/100], ITER [1498/1666] 
LOSS: 0.00050475, TIME: 9071.9s
STEP [63160], EPOCH [38/100], ITER [1518/1666] 
LOSS: 0.00065208, TIME: 9074.8s
STEP [63180], EPOCH [38/100], ITER [1538/1666] 
LOSS: 0.00056641, TIME: 9077.6s
STEP [63200], EPOCH [38/100], ITER [1558/1666] 
LOSS: 0.00057137, TIME: 9080.5s
STEP [63220], EPOCH [38/100], ITER [1578/1666] 
LOSS: 0.00061438, TIME: 9083.3s
STEP [63240], EPOCH [38/100], ITER [1598/1666] 
LOSS: 0.00089814, TIME: 9086.2s
STEP [63260], EPOCH [38/100], ITER [1618/1666] 
LOSS: 0.00061755, TIME: 9089.0s
STEP [63280], EPOCH [38/100], ITER [1638/1666] 
LOSS: 0.00068281, TIME: 9091.9s
STEP [63300], EPOCH [38/100], ITER [1658/1666] 
LOSS: 0.00045804, TIME: 9094.7s
STEP [63320], EPOCH [39/100], ITER [12/1666] 
LOSS: 0.00044122, TIME: 9099.0s
STEP [63340], EPOCH [39/100], ITER [32/1666] 
LOSS: 0.00053388, TIME: 9101.8s
STEP [63360], EPOCH [39/100], ITER [52/1666] 
LOSS: 0.00054482, TIME: 9104.7s
STEP [63380], EPOCH [39/100], ITER [72/1666] 
LOSS: 0.00046829, TIME: 9107.5s
STEP [63400], EPOCH [39/100], ITER [92/1666] 
LOSS: 0.00029152, TIME: 9110.4s
STEP [63420], EPOCH [39/100], ITER [112/1666] 
LOSS: 0.00041737, TIME: 9113.2s
STEP [63440], EPOCH [39/100], ITER [132/1666] 
LOSS: 0.00053880, TIME: 9116.1s
STEP [63460], EPOCH [39/100], ITER [152/1666] 
LOSS: 0.00032548, TIME: 9118.9s
STEP [63480], EPOCH [39/100], ITER [172/1666] 
LOSS: 0.00064278, TIME: 9121.8s
STEP [63500], EPOCH [39/100], ITER [192/1666] 
LOSS: 0.00050281, TIME: 9124.6s
STEP [63520], EPOCH [39/100], ITER [212/1666] 
LOSS: 0.00071052, TIME: 9127.5s
STEP [63540], EPOCH [39/100], ITER [232/1666] 
LOSS: 0.00075929, TIME: 9130.3s
STEP [63560], EPOCH [39/100], ITER [252/1666] 
LOSS: 0.00035733, TIME: 9133.2s
STEP [63580], EPOCH [39/100], ITER [272/1666] 
LOSS: 0.00061593, TIME: 9136.1s
STEP [63600], EPOCH [39/100], ITER [292/1666] 
LOSS: 0.00050525, TIME: 9138.9s
STEP [63620], EPOCH [39/100], ITER [312/1666] 
LOSS: 0.00046514, TIME: 9141.8s
STEP [63640], EPOCH [39/100], ITER [332/1666] 
LOSS: 0.00044830, TIME: 9144.6s
STEP [63660], EPOCH [39/100], ITER [352/1666] 
LOSS: 0.00082723, TIME: 9147.5s
STEP [63680], EPOCH [39/100], ITER [372/1666] 
LOSS: 0.00054519, TIME: 9150.3s
STEP [63700], EPOCH [39/100], ITER [392/1666] 
LOSS: 0.00052250, TIME: 9153.2s
STEP [63720], EPOCH [39/100], ITER [412/1666] 
LOSS: 0.00051449, TIME: 9156.0s
STEP [63740], EPOCH [39/100], ITER [432/1666] 
LOSS: 0.00069060, TIME: 9158.9s
STEP [63760], EPOCH [39/100], ITER [452/1666] 
LOSS: 0.00050509, TIME: 9161.7s
STEP [63780], EPOCH [39/100], ITER [472/1666] 
LOSS: 0.00042548, TIME: 9164.6s
STEP [63800], EPOCH [39/100], ITER [492/1666] 
LOSS: 0.00090039, TIME: 9167.4s
STEP [63820], EPOCH [39/100], ITER [512/1666] 
LOSS: 0.00108730, TIME: 9170.3s
STEP [63840], EPOCH [39/100], ITER [532/1666] 
LOSS: 0.00039558, TIME: 9173.1s
STEP [63860], EPOCH [39/100], ITER [552/1666] 
LOSS: 0.00063943, TIME: 9176.0s
STEP [63880], EPOCH [39/100], ITER [572/1666] 
LOSS: 0.00054988, TIME: 9178.8s
STEP [63900], EPOCH [39/100], ITER [592/1666] 
LOSS: 0.00093386, TIME: 9181.7s
STEP [63920], EPOCH [39/100], ITER [612/1666] 
LOSS: 0.00079058, TIME: 9184.5s
STEP [63940], EPOCH [39/100], ITER [632/1666] 
LOSS: 0.00093516, TIME: 9187.4s
STEP [63960], EPOCH [39/100], ITER [652/1666] 
LOSS: 0.00058084, TIME: 9190.3s
STEP [63980], EPOCH [39/100], ITER [672/1666] 
LOSS: 0.00048275, TIME: 9193.1s
STEP [64000], EPOCH [39/100], ITER [692/1666] 
LOSS: 0.00048948, TIME: 9196.0s
STEP [64020], EPOCH [39/100], ITER [712/1666] 
LOSS: 0.00072406, TIME: 9198.9s
STEP [64040], EPOCH [39/100], ITER [732/1666] 
LOSS: 0.00052646, TIME: 9201.7s
STEP [64060], EPOCH [39/100], ITER [752/1666] 
LOSS: 0.00079992, TIME: 9204.6s
STEP [64080], EPOCH [39/100], ITER [772/1666] 
LOSS: 0.00055046, TIME: 9207.4s
STEP [64100], EPOCH [39/100], ITER [792/1666] 
LOSS: 0.00067410, TIME: 9210.3s
STEP [64120], EPOCH [39/100], ITER [812/1666] 
LOSS: 0.00046406, TIME: 9213.2s
STEP [64140], EPOCH [39/100], ITER [832/1666] 
LOSS: 0.00053231, TIME: 9216.0s
STEP [64160], EPOCH [39/100], ITER [852/1666] 
LOSS: 0.00090580, TIME: 9218.9s
STEP [64180], EPOCH [39/100], ITER [872/1666] 
LOSS: 0.00060827, TIME: 9221.7s
STEP [64200], EPOCH [39/100], ITER [892/1666] 
LOSS: 0.00068579, TIME: 9224.6s
STEP [64220], EPOCH [39/100], ITER [912/1666] 
LOSS: 0.00080587, TIME: 9227.4s
STEP [64240], EPOCH [39/100], ITER [932/1666] 
LOSS: 0.00035161, TIME: 9230.3s
STEP [64260], EPOCH [39/100], ITER [952/1666] 
LOSS: 0.00059686, TIME: 9233.1s
STEP [64280], EPOCH [39/100], ITER [972/1666] 
LOSS: 0.00060346, TIME: 9236.0s
STEP [64300], EPOCH [39/100], ITER [992/1666] 
LOSS: 0.00075631, TIME: 9238.8s
STEP [64320], EPOCH [39/100], ITER [1012/1666] 
LOSS: 0.00063294, TIME: 9241.7s
STEP [64340], EPOCH [39/100], ITER [1032/1666] 
LOSS: 0.00069471, TIME: 9244.5s
STEP [64360], EPOCH [39/100], ITER [1052/1666] 
LOSS: 0.00055841, TIME: 9247.4s
STEP [64380], EPOCH [39/100], ITER [1072/1666] 
LOSS: 0.00063742, TIME: 9250.3s
STEP [64400], EPOCH [39/100], ITER [1092/1666] 
LOSS: 0.00038600, TIME: 9253.1s
STEP [64420], EPOCH [39/100], ITER [1112/1666] 
LOSS: 0.00059621, TIME: 9256.0s
STEP [64440], EPOCH [39/100], ITER [1132/1666] 
LOSS: 0.00047445, TIME: 9258.8s
STEP [64460], EPOCH [39/100], ITER [1152/1666] 
LOSS: 0.00073858, TIME: 9261.7s
STEP [64480], EPOCH [39/100], ITER [1172/1666] 
LOSS: 0.00063670, TIME: 9264.5s
STEP [64500], EPOCH [39/100], ITER [1192/1666] 
LOSS: 0.00041513, TIME: 9267.4s
STEP [64520], EPOCH [39/100], ITER [1212/1666] 
LOSS: 0.00053815, TIME: 9270.2s
STEP [64540], EPOCH [39/100], ITER [1232/1666] 
LOSS: 0.00071583, TIME: 9273.1s
STEP [64560], EPOCH [39/100], ITER [1252/1666] 
LOSS: 0.00076199, TIME: 9275.9s
STEP [64580], EPOCH [39/100], ITER [1272/1666] 
LOSS: 0.00079766, TIME: 9278.8s
STEP [64600], EPOCH [39/100], ITER [1292/1666] 
LOSS: 0.00077401, TIME: 9281.6s
STEP [64620], EPOCH [39/100], ITER [1312/1666] 
LOSS: 0.00069016, TIME: 9284.5s
STEP [64640], EPOCH [39/100], ITER [1332/1666] 
LOSS: 0.00048709, TIME: 9287.4s
STEP [64660], EPOCH [39/100], ITER [1352/1666] 
LOSS: 0.00089088, TIME: 9290.2s
STEP [64680], EPOCH [39/100], ITER [1372/1666] 
LOSS: 0.00061889, TIME: 9293.1s
STEP [64700], EPOCH [39/100], ITER [1392/1666] 
LOSS: 0.00037186, TIME: 9295.9s
STEP [64720], EPOCH [39/100], ITER [1412/1666] 
LOSS: 0.00079536, TIME: 9298.8s
STEP [64740], EPOCH [39/100], ITER [1432/1666] 
LOSS: 0.00059464, TIME: 9301.6s
STEP [64760], EPOCH [39/100], ITER [1452/1666] 
LOSS: 0.00055469, TIME: 9304.5s
STEP [64780], EPOCH [39/100], ITER [1472/1666] 
LOSS: 0.00163106, TIME: 9307.3s
STEP [64800], EPOCH [39/100], ITER [1492/1666] 
LOSS: 0.00060003, TIME: 9310.2s
STEP [64820], EPOCH [39/100], ITER [1512/1666] 
LOSS: 0.00096619, TIME: 9313.0s
STEP [64840], EPOCH [39/100], ITER [1532/1666] 
LOSS: 0.00056532, TIME: 9315.9s
STEP [64860], EPOCH [39/100], ITER [1552/1666] 
LOSS: 0.00035339, TIME: 9318.7s
STEP [64880], EPOCH [39/100], ITER [1572/1666] 
LOSS: 0.00049144, TIME: 9321.6s
STEP [64900], EPOCH [39/100], ITER [1592/1666] 
LOSS: 0.00061000, TIME: 9324.4s
STEP [64920], EPOCH [39/100], ITER [1612/1666] 
LOSS: 0.00055565, TIME: 9327.3s
STEP [64940], EPOCH [39/100], ITER [1632/1666] 
LOSS: 0.00066622, TIME: 9330.1s
STEP [64960], EPOCH [39/100], ITER [1652/1666] 
LOSS: 0.00086610, TIME: 9333.0s
STEP [64980], EPOCH [40/100], ITER [6/1666] 
LOSS: 0.00070618, TIME: 9337.3s
STEP [65000], EPOCH [40/100], ITER [26/1666] 
LOSS: 0.00056498, TIME: 9340.2s
STEP [65020], EPOCH [40/100], ITER [46/1666] 
LOSS: 0.00062813, TIME: 9343.1s
STEP [65040], EPOCH [40/100], ITER [66/1666] 
LOSS: 0.00052317, TIME: 9346.0s
STEP [65060], EPOCH [40/100], ITER [86/1666] 
LOSS: 0.00084186, TIME: 9348.8s
STEP [65080], EPOCH [40/100], ITER [106/1666] 
LOSS: 0.00051595, TIME: 9351.7s
STEP [65100], EPOCH [40/100], ITER [126/1666] 
LOSS: 0.00039240, TIME: 9354.5s
STEP [65120], EPOCH [40/100], ITER [146/1666] 
LOSS: 0.00061901, TIME: 9357.4s
STEP [65140], EPOCH [40/100], ITER [166/1666] 
LOSS: 0.00071301, TIME: 9360.2s
STEP [65160], EPOCH [40/100], ITER [186/1666] 
LOSS: 0.00038579, TIME: 9363.1s
STEP [65180], EPOCH [40/100], ITER [206/1666] 
LOSS: 0.00078522, TIME: 9366.0s
STEP [65200], EPOCH [40/100], ITER [226/1666] 
LOSS: 0.00070057, TIME: 9368.8s
STEP [65220], EPOCH [40/100], ITER [246/1666] 
LOSS: 0.00054584, TIME: 9371.7s
STEP [65240], EPOCH [40/100], ITER [266/1666] 
LOSS: 0.00071914, TIME: 9374.5s
STEP [65260], EPOCH [40/100], ITER [286/1666] 
LOSS: 0.00066326, TIME: 9377.4s
STEP [65280], EPOCH [40/100], ITER [306/1666] 
LOSS: 0.00111349, TIME: 9380.2s
STEP [65300], EPOCH [40/100], ITER [326/1666] 
LOSS: 0.00066037, TIME: 9383.1s
STEP [65320], EPOCH [40/100], ITER [346/1666] 
LOSS: 0.00059484, TIME: 9385.9s
STEP [65340], EPOCH [40/100], ITER [366/1666] 
LOSS: 0.00073517, TIME: 9388.8s
STEP [65360], EPOCH [40/100], ITER [386/1666] 
LOSS: 0.00049490, TIME: 9391.6s
STEP [65380], EPOCH [40/100], ITER [406/1666] 
LOSS: 0.00051583, TIME: 9394.5s
STEP [65400], EPOCH [40/100], ITER [426/1666] 
LOSS: 0.00074993, TIME: 9397.3s
STEP [65420], EPOCH [40/100], ITER [446/1666] 
LOSS: 0.00065587, TIME: 9400.2s
STEP [65440], EPOCH [40/100], ITER [466/1666] 
LOSS: 0.00042249, TIME: 9403.0s
STEP [65460], EPOCH [40/100], ITER [486/1666] 
LOSS: 0.00061624, TIME: 9405.9s
STEP [65480], EPOCH [40/100], ITER [506/1666] 
LOSS: 0.00062895, TIME: 9408.8s
STEP [65500], EPOCH [40/100], ITER [526/1666] 
LOSS: 0.00052913, TIME: 9411.6s
STEP [65520], EPOCH [40/100], ITER [546/1666] 
LOSS: 0.00043409, TIME: 9414.5s
STEP [65540], EPOCH [40/100], ITER [566/1666] 
LOSS: 0.00043826, TIME: 9417.3s
STEP [65560], EPOCH [40/100], ITER [586/1666] 
LOSS: 0.00072611, TIME: 9420.2s
STEP [65580], EPOCH [40/100], ITER [606/1666] 
LOSS: 0.00069533, TIME: 9423.0s
STEP [65600], EPOCH [40/100], ITER [626/1666] 
LOSS: 0.00046574, TIME: 9425.9s
STEP [65620], EPOCH [40/100], ITER [646/1666] 
LOSS: 0.00045164, TIME: 9428.7s
STEP [65640], EPOCH [40/100], ITER [666/1666] 
LOSS: 0.00105465, TIME: 9431.6s
STEP [65660], EPOCH [40/100], ITER [686/1666] 
LOSS: 0.00082399, TIME: 9434.4s
STEP [65680], EPOCH [40/100], ITER [706/1666] 
LOSS: 0.00050141, TIME: 9437.3s
STEP [65700], EPOCH [40/100], ITER [726/1666] 
LOSS: 0.00071803, TIME: 9440.2s
STEP [65720], EPOCH [40/100], ITER [746/1666] 
LOSS: 0.00071952, TIME: 9443.0s
STEP [65740], EPOCH [40/100], ITER [766/1666] 
LOSS: 0.00044756, TIME: 9445.9s
STEP [65760], EPOCH [40/100], ITER [786/1666] 
LOSS: 0.00048027, TIME: 9448.7s
STEP [65780], EPOCH [40/100], ITER [806/1666] 
LOSS: 0.00046669, TIME: 9451.6s
STEP [65800], EPOCH [40/100], ITER [826/1666] 
LOSS: 0.00081563, TIME: 9454.4s
STEP [65820], EPOCH [40/100], ITER [846/1666] 
LOSS: 0.00081038, TIME: 9457.3s
STEP [65840], EPOCH [40/100], ITER [866/1666] 
LOSS: 0.00043956, TIME: 9460.1s
STEP [65860], EPOCH [40/100], ITER [886/1666] 
LOSS: 0.00047168, TIME: 9463.0s
STEP [65880], EPOCH [40/100], ITER [906/1666] 
LOSS: 0.00047770, TIME: 9465.8s
STEP [65900], EPOCH [40/100], ITER [926/1666] 
LOSS: 0.00093932, TIME: 9468.7s
STEP [65920], EPOCH [40/100], ITER [946/1666] 
LOSS: 0.00065502, TIME: 9471.5s
STEP [65940], EPOCH [40/100], ITER [966/1666] 
LOSS: 0.00056463, TIME: 9474.4s
STEP [65960], EPOCH [40/100], ITER [986/1666] 
LOSS: 0.00057574, TIME: 9477.2s
STEP [65980], EPOCH [40/100], ITER [1006/1666] 
LOSS: 0.00042719, TIME: 9480.1s
STEP [66000], EPOCH [40/100], ITER [1026/1666] 
LOSS: 0.00063567, TIME: 9483.0s
STEP [66020], EPOCH [40/100], ITER [1046/1666] 
LOSS: 0.00038804, TIME: 9485.9s
STEP [66040], EPOCH [40/100], ITER [1066/1666] 
LOSS: 0.00054255, TIME: 9488.7s
STEP [66060], EPOCH [40/100], ITER [1086/1666] 
LOSS: 0.00072475, TIME: 9491.6s
STEP [66080], EPOCH [40/100], ITER [1106/1666] 
LOSS: 0.00069177, TIME: 9494.4s
STEP [66100], EPOCH [40/100], ITER [1126/1666] 
LOSS: 0.00069430, TIME: 9497.3s
STEP [66120], EPOCH [40/100], ITER [1146/1666] 
LOSS: 0.00071186, TIME: 9500.2s
STEP [66140], EPOCH [40/100], ITER [1166/1666] 
LOSS: 0.00059553, TIME: 9503.0s
STEP [66160], EPOCH [40/100], ITER [1186/1666] 
LOSS: 0.00066736, TIME: 9505.9s
STEP [66180], EPOCH [40/100], ITER [1206/1666] 
LOSS: 0.00058952, TIME: 9508.7s
STEP [66200], EPOCH [40/100], ITER [1226/1666] 
LOSS: 0.00062285, TIME: 9511.6s
STEP [66220], EPOCH [40/100], ITER [1246/1666] 
LOSS: 0.00058394, TIME: 9514.4s
STEP [66240], EPOCH [40/100], ITER [1266/1666] 
LOSS: 0.00065649, TIME: 9517.3s
STEP [66260], EPOCH [40/100], ITER [1286/1666] 
LOSS: 0.00065085, TIME: 9520.1s
STEP [66280], EPOCH [40/100], ITER [1306/1666] 
LOSS: 0.00042696, TIME: 9523.0s
STEP [66300], EPOCH [40/100], ITER [1326/1666] 
LOSS: 0.00072749, TIME: 9525.8s
STEP [66320], EPOCH [40/100], ITER [1346/1666] 
LOSS: 0.00039408, TIME: 9528.7s
STEP [66340], EPOCH [40/100], ITER [1366/1666] 
LOSS: 0.00037837, TIME: 9531.5s
STEP [66360], EPOCH [40/100], ITER [1386/1666] 
LOSS: 0.00037563, TIME: 9534.4s
STEP [66380], EPOCH [40/100], ITER [1406/1666] 
LOSS: 0.00064477, TIME: 9537.2s
STEP [66400], EPOCH [40/100], ITER [1426/1666] 
LOSS: 0.00094119, TIME: 9540.1s
STEP [66420], EPOCH [40/100], ITER [1446/1666] 
LOSS: 0.00080364, TIME: 9543.0s
STEP [66440], EPOCH [40/100], ITER [1466/1666] 
LOSS: 0.00066709, TIME: 9545.8s
STEP [66460], EPOCH [40/100], ITER [1486/1666] 
LOSS: 0.00067652, TIME: 9548.7s
STEP [66480], EPOCH [40/100], ITER [1506/1666] 
LOSS: 0.00070982, TIME: 9551.5s
STEP [66500], EPOCH [40/100], ITER [1526/1666] 
LOSS: 0.00078012, TIME: 9554.4s
STEP [66520], EPOCH [40/100], ITER [1546/1666] 
LOSS: 0.00055394, TIME: 9557.2s
STEP [66540], EPOCH [40/100], ITER [1566/1666] 
LOSS: 0.00093436, TIME: 9560.1s
STEP [66560], EPOCH [40/100], ITER [1586/1666] 
LOSS: 0.00085419, TIME: 9562.9s
STEP [66580], EPOCH [40/100], ITER [1606/1666] 
LOSS: 0.00062720, TIME: 9565.8s
STEP [66600], EPOCH [40/100], ITER [1626/1666] 
LOSS: 0.00069540, TIME: 9568.6s
STEP [66620], EPOCH [40/100], ITER [1646/1666] 
LOSS: 0.00063770, TIME: 9571.5s
STEP [66640], EPOCH [40/100], ITER [1666/1666] 
LOSS: 0.00047729, TIME: 9574.3s
STEP [66660], EPOCH [41/100], ITER [20/1666] 
LOSS: 0.00071120, TIME: 9578.7s
STEP [66680], EPOCH [41/100], ITER [40/1666] 
LOSS: 0.00055594, TIME: 9581.5s
STEP [66700], EPOCH [41/100], ITER [60/1666] 
LOSS: 0.00050272, TIME: 9584.4s
STEP [66720], EPOCH [41/100], ITER [80/1666] 
LOSS: 0.00072073, TIME: 9587.2s
STEP [66740], EPOCH [41/100], ITER [100/1666] 
LOSS: 0.00054862, TIME: 9590.1s
STEP [66760], EPOCH [41/100], ITER [120/1666] 
LOSS: 0.00060908, TIME: 9592.9s
STEP [66780], EPOCH [41/100], ITER [140/1666] 
LOSS: 0.00060018, TIME: 9595.8s
STEP [66800], EPOCH [41/100], ITER [160/1666] 
LOSS: 0.00037146, TIME: 9598.6s
STEP [66820], EPOCH [41/100], ITER [180/1666] 
LOSS: 0.00070896, TIME: 9601.5s
STEP [66840], EPOCH [41/100], ITER [200/1666] 
LOSS: 0.00046704, TIME: 9604.3s
STEP [66860], EPOCH [41/100], ITER [220/1666] 
LOSS: 0.00051861, TIME: 9607.2s
STEP [66880], EPOCH [41/100], ITER [240/1666] 
LOSS: 0.00051562, TIME: 9610.0s
STEP [66900], EPOCH [41/100], ITER [260/1666] 
LOSS: 0.00064208, TIME: 9612.9s
STEP [66920], EPOCH [41/100], ITER [280/1666] 
LOSS: 0.00076933, TIME: 9615.7s
STEP [66940], EPOCH [41/100], ITER [300/1666] 
LOSS: 0.00043692, TIME: 9618.6s
STEP [66960], EPOCH [41/100], ITER [320/1666] 
LOSS: 0.00059231, TIME: 9621.4s
STEP [66980], EPOCH [41/100], ITER [340/1666] 
LOSS: 0.00123884, TIME: 9624.3s
STEP [67000], EPOCH [41/100], ITER [360/1666] 
LOSS: 0.00053690, TIME: 9627.1s
STEP [67020], EPOCH [41/100], ITER [380/1666] 
LOSS: 0.00051658, TIME: 9630.1s
STEP [67040], EPOCH [41/100], ITER [400/1666] 
LOSS: 0.00081343, TIME: 9632.9s
STEP [67060], EPOCH [41/100], ITER [420/1666] 
LOSS: 0.00069777, TIME: 9635.8s
STEP [67080], EPOCH [41/100], ITER [440/1666] 
LOSS: 0.00073516, TIME: 9638.6s
STEP [67100], EPOCH [41/100], ITER [460/1666] 
LOSS: 0.00073547, TIME: 9641.5s
STEP [67120], EPOCH [41/100], ITER [480/1666] 
LOSS: 0.00032306, TIME: 9644.3s
STEP [67140], EPOCH [41/100], ITER [500/1666] 
LOSS: 0.00058656, TIME: 9647.2s
STEP [67160], EPOCH [41/100], ITER [520/1666] 
LOSS: 0.00064727, TIME: 9650.0s
STEP [67180], EPOCH [41/100], ITER [540/1666] 
LOSS: 0.00049438, TIME: 9652.9s
STEP [67200], EPOCH [41/100], ITER [560/1666] 
LOSS: 0.00071228, TIME: 9655.7s
STEP [67220], EPOCH [41/100], ITER [580/1666] 
LOSS: 0.00048352, TIME: 9658.6s
STEP [67240], EPOCH [41/100], ITER [600/1666] 
LOSS: 0.00039382, TIME: 9661.4s
STEP [67260], EPOCH [41/100], ITER [620/1666] 
LOSS: 0.00061331, TIME: 9664.3s
STEP [67280], EPOCH [41/100], ITER [640/1666] 
LOSS: 0.00056456, TIME: 9667.1s
STEP [67300], EPOCH [41/100], ITER [660/1666] 
LOSS: 0.00056100, TIME: 9670.0s
STEP [67320], EPOCH [41/100], ITER [680/1666] 
LOSS: 0.00047154, TIME: 9672.8s
STEP [67340], EPOCH [41/100], ITER [700/1666] 
LOSS: 0.00047287, TIME: 9675.7s
STEP [67360], EPOCH [41/100], ITER [720/1666] 
LOSS: 0.00056121, TIME: 9678.5s
STEP [67380], EPOCH [41/100], ITER [740/1666] 
LOSS: 0.00065134, TIME: 9681.4s
STEP [67400], EPOCH [41/100], ITER [760/1666] 
LOSS: 0.00094424, TIME: 9684.3s
STEP [67420], EPOCH [41/100], ITER [780/1666] 
LOSS: 0.00038719, TIME: 9687.1s
STEP [67440], EPOCH [41/100], ITER [800/1666] 
LOSS: 0.00157767, TIME: 9690.0s
STEP [67460], EPOCH [41/100], ITER [820/1666] 
LOSS: 0.00098423, TIME: 9692.8s
STEP [67480], EPOCH [41/100], ITER [840/1666] 
LOSS: 0.00067924, TIME: 9695.7s
STEP [67500], EPOCH [41/100], ITER [860/1666] 
LOSS: 0.00031914, TIME: 9698.5s
STEP [67520], EPOCH [41/100], ITER [880/1666] 
LOSS: 0.00087112, TIME: 9701.4s
STEP [67540], EPOCH [41/100], ITER [900/1666] 
LOSS: 0.00073885, TIME: 9704.2s
STEP [67560], EPOCH [41/100], ITER [920/1666] 
LOSS: 0.00042252, TIME: 9707.1s
STEP [67580], EPOCH [41/100], ITER [940/1666] 
LOSS: 0.00082822, TIME: 9709.9s
STEP [67600], EPOCH [41/100], ITER [960/1666] 
LOSS: 0.00050790, TIME: 9712.8s
STEP [67620], EPOCH [41/100], ITER [980/1666] 
LOSS: 0.00069132, TIME: 9715.6s
STEP [67640], EPOCH [41/100], ITER [1000/1666] 
LOSS: 0.00045545, TIME: 9718.5s
STEP [67660], EPOCH [41/100], ITER [1020/1666] 
LOSS: 0.00051539, TIME: 9721.3s
STEP [67680], EPOCH [41/100], ITER [1040/1666] 
LOSS: 0.00074070, TIME: 9724.2s
STEP [67700], EPOCH [41/100], ITER [1060/1666] 
LOSS: 0.00042140, TIME: 9727.1s
STEP [67720], EPOCH [41/100], ITER [1080/1666] 
LOSS: 0.00050283, TIME: 9729.9s
STEP [67740], EPOCH [41/100], ITER [1100/1666] 
LOSS: 0.00059177, TIME: 9732.8s
STEP [67760], EPOCH [41/100], ITER [1120/1666] 
LOSS: 0.00056463, TIME: 9735.6s
STEP [67780], EPOCH [41/100], ITER [1140/1666] 
LOSS: 0.00041341, TIME: 9738.5s
STEP [67800], EPOCH [41/100], ITER [1160/1666] 
LOSS: 0.00067937, TIME: 9741.3s
STEP [67820], EPOCH [41/100], ITER [1180/1666] 
LOSS: 0.00068937, TIME: 9744.2s
STEP [67840], EPOCH [41/100], ITER [1200/1666] 
LOSS: 0.00059656, TIME: 9747.0s
STEP [67860], EPOCH [41/100], ITER [1220/1666] 
LOSS: 0.00032250, TIME: 9749.9s
STEP [67880], EPOCH [41/100], ITER [1240/1666] 
LOSS: 0.00067345, TIME: 9752.7s
STEP [67900], EPOCH [41/100], ITER [1260/1666] 
LOSS: 0.00056862, TIME: 9755.6s
STEP [67920], EPOCH [41/100], ITER [1280/1666] 
LOSS: 0.00065641, TIME: 9758.4s
STEP [67940], EPOCH [41/100], ITER [1300/1666] 
LOSS: 0.00065748, TIME: 9761.3s
STEP [67960], EPOCH [41/100], ITER [1320/1666] 
LOSS: 0.00071226, TIME: 9764.1s
STEP [67980], EPOCH [41/100], ITER [1340/1666] 
LOSS: 0.00055266, TIME: 9767.0s
STEP [68000], EPOCH [41/100], ITER [1360/1666] 
LOSS: 0.00059985, TIME: 9769.9s
STEP [68020], EPOCH [41/100], ITER [1380/1666] 
LOSS: 0.00076102, TIME: 9772.8s
STEP [68040], EPOCH [41/100], ITER [1400/1666] 
LOSS: 0.00054444, TIME: 9775.6s
STEP [68060], EPOCH [41/100], ITER [1420/1666] 
LOSS: 0.00063464, TIME: 9778.5s
STEP [68080], EPOCH [41/100], ITER [1440/1666] 
LOSS: 0.00096607, TIME: 9781.4s
STEP [68100], EPOCH [41/100], ITER [1460/1666] 
LOSS: 0.00115015, TIME: 9784.2s
STEP [68120], EPOCH [41/100], ITER [1480/1666] 
LOSS: 0.00083703, TIME: 9787.1s
STEP [68140], EPOCH [41/100], ITER [1500/1666] 
LOSS: 0.00054943, TIME: 9789.9s
STEP [68160], EPOCH [41/100], ITER [1520/1666] 
LOSS: 0.00051733, TIME: 9792.8s
STEP [68180], EPOCH [41/100], ITER [1540/1666] 
LOSS: 0.00051883, TIME: 9795.6s
STEP [68200], EPOCH [41/100], ITER [1560/1666] 
LOSS: 0.00044759, TIME: 9798.5s
STEP [68220], EPOCH [41/100], ITER [1580/1666] 
LOSS: 0.00046266, TIME: 9801.3s
STEP [68240], EPOCH [41/100], ITER [1600/1666] 
LOSS: 0.00102847, TIME: 9804.2s
STEP [68260], EPOCH [41/100], ITER [1620/1666] 
LOSS: 0.00052945, TIME: 9807.0s
STEP [68280], EPOCH [41/100], ITER [1640/1666] 
LOSS: 0.00046722, TIME: 9809.9s
STEP [68300], EPOCH [41/100], ITER [1660/1666] 
LOSS: 0.00052164, TIME: 9812.7s
STEP [68320], EPOCH [42/100], ITER [14/1666] 
LOSS: 0.00063993, TIME: 9817.0s
STEP [68340], EPOCH [42/100], ITER [34/1666] 
LOSS: 0.00065395, TIME: 9819.8s
STEP [68360], EPOCH [42/100], ITER [54/1666] 
LOSS: 0.00075370, TIME: 9822.7s
STEP [68380], EPOCH [42/100], ITER [74/1666] 
LOSS: 0.00051802, TIME: 9825.5s
STEP [68400], EPOCH [42/100], ITER [94/1666] 
LOSS: 0.00072990, TIME: 9828.4s
STEP [68420], EPOCH [42/100], ITER [114/1666] 
LOSS: 0.00058816, TIME: 9831.2s
STEP [68440], EPOCH [42/100], ITER [134/1666] 
LOSS: 0.00073532, TIME: 9834.1s
STEP [68460], EPOCH [42/100], ITER [154/1666] 
LOSS: 0.00066493, TIME: 9836.9s
STEP [68480], EPOCH [42/100], ITER [174/1666] 
LOSS: 0.00068375, TIME: 9839.8s
STEP [68500], EPOCH [42/100], ITER [194/1666] 
LOSS: 0.00057872, TIME: 9842.6s
STEP [68520], EPOCH [42/100], ITER [214/1666] 
LOSS: 0.00068309, TIME: 9845.5s
STEP [68540], EPOCH [42/100], ITER [234/1666] 
LOSS: 0.00058511, TIME: 9848.3s
STEP [68560], EPOCH [42/100], ITER [254/1666] 
LOSS: 0.00064248, TIME: 9851.2s
STEP [68580], EPOCH [42/100], ITER [274/1666] 
LOSS: 0.00042708, TIME: 9854.0s
STEP [68600], EPOCH [42/100], ITER [294/1666] 
LOSS: 0.00050831, TIME: 9856.9s
STEP [68620], EPOCH [42/100], ITER [314/1666] 
LOSS: 0.00057104, TIME: 9859.7s
STEP [68640], EPOCH [42/100], ITER [334/1666] 
LOSS: 0.00038164, TIME: 9862.6s
STEP [68660], EPOCH [42/100], ITER [354/1666] 
LOSS: 0.00117215, TIME: 9865.5s
STEP [68680], EPOCH [42/100], ITER [374/1666] 
LOSS: 0.00080055, TIME: 9868.3s
STEP [68700], EPOCH [42/100], ITER [394/1666] 
LOSS: 0.00050182, TIME: 9871.2s
STEP [68720], EPOCH [42/100], ITER [414/1666] 
LOSS: 0.00055718, TIME: 9874.0s
STEP [68740], EPOCH [42/100], ITER [434/1666] 
LOSS: 0.00049659, TIME: 9876.9s
STEP [68760], EPOCH [42/100], ITER [454/1666] 
LOSS: 0.00050698, TIME: 9879.7s
STEP [68780], EPOCH [42/100], ITER [474/1666] 
LOSS: 0.00092863, TIME: 9882.6s
STEP [68800], EPOCH [42/100], ITER [494/1666] 
LOSS: 0.00059162, TIME: 9885.4s
STEP [68820], EPOCH [42/100], ITER [514/1666] 
LOSS: 0.00094171, TIME: 9888.3s
STEP [68840], EPOCH [42/100], ITER [534/1666] 
LOSS: 0.00052916, TIME: 9891.1s
STEP [68860], EPOCH [42/100], ITER [554/1666] 
LOSS: 0.00037926, TIME: 9894.0s
STEP [68880], EPOCH [42/100], ITER [574/1666] 
LOSS: 0.00081950, TIME: 9896.9s
STEP [68900], EPOCH [42/100], ITER [594/1666] 
LOSS: 0.00069057, TIME: 9899.7s
STEP [68920], EPOCH [42/100], ITER [614/1666] 
LOSS: 0.00040187, TIME: 9902.6s
STEP [68940], EPOCH [42/100], ITER [634/1666] 
LOSS: 0.00061975, TIME: 9905.4s
STEP [68960], EPOCH [42/100], ITER [654/1666] 
LOSS: 0.00051239, TIME: 9908.3s
STEP [68980], EPOCH [42/100], ITER [674/1666] 
LOSS: 0.00065477, TIME: 9911.1s
STEP [69000], EPOCH [42/100], ITER [694/1666] 
LOSS: 0.00096352, TIME: 9914.0s
STEP [69020], EPOCH [42/100], ITER [714/1666] 
LOSS: 0.00051756, TIME: 9916.9s
STEP [69040], EPOCH [42/100], ITER [734/1666] 
LOSS: 0.00070554, TIME: 9919.8s
STEP [69060], EPOCH [42/100], ITER [754/1666] 
LOSS: 0.00081114, TIME: 9922.6s
STEP [69080], EPOCH [42/100], ITER [774/1666] 
LOSS: 0.00078942, TIME: 9925.5s
STEP [69100], EPOCH [42/100], ITER [794/1666] 
LOSS: 0.00066616, TIME: 9928.3s
STEP [69120], EPOCH [42/100], ITER [814/1666] 
LOSS: 0.00039624, TIME: 9931.2s
STEP [69140], EPOCH [42/100], ITER [834/1666] 
LOSS: 0.00080247, TIME: 9934.0s
STEP [69160], EPOCH [42/100], ITER [854/1666] 
LOSS: 0.00066985, TIME: 9936.9s
STEP [69180], EPOCH [42/100], ITER [874/1666] 
LOSS: 0.00053094, TIME: 9939.7s
STEP [69200], EPOCH [42/100], ITER [894/1666] 
LOSS: 0.00048355, TIME: 9942.6s
STEP [69220], EPOCH [42/100], ITER [914/1666] 
LOSS: 0.00041482, TIME: 9945.4s
STEP [69240], EPOCH [42/100], ITER [934/1666] 
LOSS: 0.00052386, TIME: 9948.3s
STEP [69260], EPOCH [42/100], ITER [954/1666] 
LOSS: 0.00067059, TIME: 9951.1s
STEP [69280], EPOCH [42/100], ITER [974/1666] 
LOSS: 0.00078947, TIME: 9954.0s
STEP [69300], EPOCH [42/100], ITER [994/1666] 
LOSS: 0.00045398, TIME: 9956.8s
STEP [69320], EPOCH [42/100], ITER [1014/1666] 
LOSS: 0.00046125, TIME: 9959.7s
STEP [69340], EPOCH [42/100], ITER [1034/1666] 
LOSS: 0.00071227, TIME: 9962.6s
STEP [69360], EPOCH [42/100], ITER [1054/1666] 
LOSS: 0.00047822, TIME: 9965.4s
STEP [69380], EPOCH [42/100], ITER [1074/1666] 
LOSS: 0.00057822, TIME: 9968.3s
STEP [69400], EPOCH [42/100], ITER [1094/1666] 
LOSS: 0.00063907, TIME: 9971.1s
STEP [69420], EPOCH [42/100], ITER [1114/1666] 
LOSS: 0.00044754, TIME: 9974.0s
STEP [69440], EPOCH [42/100], ITER [1134/1666] 
LOSS: 0.00059294, TIME: 9976.8s
STEP [69460], EPOCH [42/100], ITER [1154/1666] 
LOSS: 0.00057377, TIME: 9979.7s
STEP [69480], EPOCH [42/100], ITER [1174/1666] 
LOSS: 0.00062107, TIME: 9982.5s
STEP [69500], EPOCH [42/100], ITER [1194/1666] 
LOSS: 0.00085949, TIME: 9985.4s
STEP [69520], EPOCH [42/100], ITER [1214/1666] 
LOSS: 0.00053285, TIME: 9988.2s
STEP [69540], EPOCH [42/100], ITER [1234/1666] 
LOSS: 0.00087810, TIME: 9991.1s
STEP [69560], EPOCH [42/100], ITER [1254/1666] 
LOSS: 0.00062354, TIME: 9994.0s
STEP [69580], EPOCH [42/100], ITER [1274/1666] 
LOSS: 0.00070781, TIME: 9996.8s
STEP [69600], EPOCH [42/100], ITER [1294/1666] 
LOSS: 0.00101352, TIME: 9999.7s
STEP [69620], EPOCH [42/100], ITER [1314/1666] 
LOSS: 0.00052091, TIME: 10002.5s
STEP [69640], EPOCH [42/100], ITER [1334/1666] 
LOSS: 0.00069559, TIME: 10005.4s
STEP [69660], EPOCH [42/100], ITER [1354/1666] 
LOSS: 0.00042222, TIME: 10008.2s
STEP [69680], EPOCH [42/100], ITER [1374/1666] 
LOSS: 0.00057552, TIME: 10011.1s
STEP [69700], EPOCH [42/100], ITER [1394/1666] 
LOSS: 0.00082985, TIME: 10013.9s
STEP [69720], EPOCH [42/100], ITER [1414/1666] 
LOSS: 0.00061474, TIME: 10016.8s
STEP [69740], EPOCH [42/100], ITER [1434/1666] 
LOSS: 0.00050916, TIME: 10019.6s
STEP [69760], EPOCH [42/100], ITER [1454/1666] 
LOSS: 0.00069288, TIME: 10022.5s
STEP [69780], EPOCH [42/100], ITER [1474/1666] 
LOSS: 0.00024958, TIME: 10025.4s
STEP [69800], EPOCH [42/100], ITER [1494/1666] 
LOSS: 0.00043876, TIME: 10028.2s
STEP [69820], EPOCH [42/100], ITER [1514/1666] 
LOSS: 0.00084494, TIME: 10031.1s
STEP [69840], EPOCH [42/100], ITER [1534/1666] 
LOSS: 0.00046871, TIME: 10033.9s
STEP [69860], EPOCH [42/100], ITER [1554/1666] 
LOSS: 0.00036722, TIME: 10036.8s
STEP [69880], EPOCH [42/100], ITER [1574/1666] 
LOSS: 0.00054905, TIME: 10039.6s
STEP [69900], EPOCH [42/100], ITER [1594/1666] 
LOSS: 0.00079363, TIME: 10042.5s
STEP [69920], EPOCH [42/100], ITER [1614/1666] 
LOSS: 0.00061045, TIME: 10045.3s
STEP [69940], EPOCH [42/100], ITER [1634/1666] 
LOSS: 0.00072353, TIME: 10048.2s
STEP [69960], EPOCH [42/100], ITER [1654/1666] 
LOSS: 0.00112831, TIME: 10051.0s
STEP [69980], EPOCH [43/100], ITER [8/1666] 
LOSS: 0.00093124, TIME: 10055.3s
STEP [70000], EPOCH [43/100], ITER [28/1666] 
LOSS: 0.00052353, TIME: 10058.2s
STEP [70020], EPOCH [43/100], ITER [48/1666] 
LOSS: 0.00049008, TIME: 10061.1s
STEP [70040], EPOCH [43/100], ITER [68/1666] 
LOSS: 0.00040112, TIME: 10064.0s
STEP [70060], EPOCH [43/100], ITER [88/1666] 
LOSS: 0.00038623, TIME: 10066.8s
STEP [70080], EPOCH [43/100], ITER [108/1666] 
LOSS: 0.00056734, TIME: 10069.7s
STEP [70100], EPOCH [43/100], ITER [128/1666] 
LOSS: 0.00049580, TIME: 10072.5s
STEP [70120], EPOCH [43/100], ITER [148/1666] 
LOSS: 0.00044501, TIME: 10075.4s
STEP [70140], EPOCH [43/100], ITER [168/1666] 
LOSS: 0.00063124, TIME: 10078.3s
STEP [70160], EPOCH [43/100], ITER [188/1666] 
LOSS: 0.00169384, TIME: 10081.1s
STEP [70180], EPOCH [43/100], ITER [208/1666] 
LOSS: 0.00041529, TIME: 10084.0s
STEP [70200], EPOCH [43/100], ITER [228/1666] 
LOSS: 0.00066802, TIME: 10086.8s
STEP [70220], EPOCH [43/100], ITER [248/1666] 
LOSS: 0.00058716, TIME: 10089.7s
STEP [70240], EPOCH [43/100], ITER [268/1666] 
LOSS: 0.00066113, TIME: 10092.5s
STEP [70260], EPOCH [43/100], ITER [288/1666] 
LOSS: 0.00068418, TIME: 10095.4s
STEP [70280], EPOCH [43/100], ITER [308/1666] 
LOSS: 0.00135378, TIME: 10098.2s
STEP [70300], EPOCH [43/100], ITER [328/1666] 
LOSS: 0.00108188, TIME: 10101.1s
STEP [70320], EPOCH [43/100], ITER [348/1666] 
LOSS: 0.00071604, TIME: 10103.9s
STEP [70340], EPOCH [43/100], ITER [368/1666] 
LOSS: 0.00034141, TIME: 10106.8s
STEP [70360], EPOCH [43/100], ITER [388/1666] 
LOSS: 0.00096221, TIME: 10109.6s
STEP [70380], EPOCH [43/100], ITER [408/1666] 
LOSS: 0.00079412, TIME: 10112.5s
STEP [70400], EPOCH [43/100], ITER [428/1666] 
LOSS: 0.00040528, TIME: 10115.3s
STEP [70420], EPOCH [43/100], ITER [448/1666] 
LOSS: 0.00074351, TIME: 10118.2s
STEP [70440], EPOCH [43/100], ITER [468/1666] 
LOSS: 0.00067669, TIME: 10121.0s
STEP [70460], EPOCH [43/100], ITER [488/1666] 
LOSS: 0.00051476, TIME: 10123.9s
STEP [70480], EPOCH [43/100], ITER [508/1666] 
LOSS: 0.00050312, TIME: 10126.8s
STEP [70500], EPOCH [43/100], ITER [528/1666] 
LOSS: 0.00100564, TIME: 10129.6s
STEP [70520], EPOCH [43/100], ITER [548/1666] 
LOSS: 0.00057327, TIME: 10132.5s
STEP [70540], EPOCH [43/100], ITER [568/1666] 
LOSS: 0.00046116, TIME: 10135.3s
STEP [70560], EPOCH [43/100], ITER [588/1666] 
LOSS: 0.00039678, TIME: 10138.2s
STEP [70580], EPOCH [43/100], ITER [608/1666] 
LOSS: 0.00040127, TIME: 10141.0s
STEP [70600], EPOCH [43/100], ITER [628/1666] 
LOSS: 0.00050652, TIME: 10143.9s
STEP [70620], EPOCH [43/100], ITER [648/1666] 
LOSS: 0.00071570, TIME: 10146.7s
STEP [70640], EPOCH [43/100], ITER [668/1666] 
LOSS: 0.00058575, TIME: 10149.6s
STEP [70660], EPOCH [43/100], ITER [688/1666] 
LOSS: 0.00071959, TIME: 10152.4s
STEP [70680], EPOCH [43/100], ITER [708/1666] 
LOSS: 0.00050448, TIME: 10155.3s
STEP [70700], EPOCH [43/100], ITER [728/1666] 
LOSS: 0.00073357, TIME: 10158.1s
STEP [70720], EPOCH [43/100], ITER [748/1666] 
LOSS: 0.00052789, TIME: 10161.0s
STEP [70740], EPOCH [43/100], ITER [768/1666] 
LOSS: 0.00098592, TIME: 10163.8s
STEP [70760], EPOCH [43/100], ITER [788/1666] 
LOSS: 0.00041601, TIME: 10166.7s
STEP [70780], EPOCH [43/100], ITER [808/1666] 
LOSS: 0.00051398, TIME: 10169.6s
STEP [70800], EPOCH [43/100], ITER [828/1666] 
LOSS: 0.00056705, TIME: 10172.4s
STEP [70820], EPOCH [43/100], ITER [848/1666] 
LOSS: 0.00085329, TIME: 10175.3s
STEP [70840], EPOCH [43/100], ITER [868/1666] 
LOSS: 0.00036035, TIME: 10178.1s
STEP [70860], EPOCH [43/100], ITER [888/1666] 
LOSS: 0.00066957, TIME: 10181.0s
STEP [70880], EPOCH [43/100], ITER [908/1666] 
LOSS: 0.00064789, TIME: 10183.8s
STEP [70900], EPOCH [43/100], ITER [928/1666] 
LOSS: 0.00049866, TIME: 10186.7s
STEP [70920], EPOCH [43/100], ITER [948/1666] 
LOSS: 0.00138688, TIME: 10189.5s
STEP [70940], EPOCH [43/100], ITER [968/1666] 
LOSS: 0.00052670, TIME: 10192.4s
STEP [70960], EPOCH [43/100], ITER [988/1666] 
LOSS: 0.00066590, TIME: 10195.2s
STEP [70980], EPOCH [43/100], ITER [1008/1666] 
LOSS: 0.00080721, TIME: 10198.1s
STEP [71000], EPOCH [43/100], ITER [1028/1666] 
LOSS: 0.00062322, TIME: 10200.9s
STEP [71020], EPOCH [43/100], ITER [1048/1666] 
LOSS: 0.00058394, TIME: 10203.9s
STEP [71040], EPOCH [43/100], ITER [1068/1666] 
LOSS: 0.00064555, TIME: 10206.7s
STEP [71060], EPOCH [43/100], ITER [1088/1666] 
LOSS: 0.00054145, TIME: 10209.6s
STEP [71080], EPOCH [43/100], ITER [1108/1666] 
LOSS: 0.00038823, TIME: 10212.4s
STEP [71100], EPOCH [43/100], ITER [1128/1666] 
LOSS: 0.00057905, TIME: 10215.3s
STEP [71120], EPOCH [43/100], ITER [1148/1666] 
LOSS: 0.00101192, TIME: 10218.2s
STEP [71140], EPOCH [43/100], ITER [1168/1666] 
LOSS: 0.00045717, TIME: 10221.0s
STEP [71160], EPOCH [43/100], ITER [1188/1666] 
LOSS: 0.00052560, TIME: 10223.9s
STEP [71180], EPOCH [43/100], ITER [1208/1666] 
LOSS: 0.00062769, TIME: 10226.7s
STEP [71200], EPOCH [43/100], ITER [1228/1666] 
LOSS: 0.00077087, TIME: 10229.6s
STEP [71220], EPOCH [43/100], ITER [1248/1666] 
LOSS: 0.00047315, TIME: 10232.4s
STEP [71240], EPOCH [43/100], ITER [1268/1666] 
LOSS: 0.00055475, TIME: 10235.3s
STEP [71260], EPOCH [43/100], ITER [1288/1666] 
LOSS: 0.00059744, TIME: 10238.1s
STEP [71280], EPOCH [43/100], ITER [1308/1666] 
LOSS: 0.00066508, TIME: 10241.0s
STEP [71300], EPOCH [43/100], ITER [1328/1666] 
LOSS: 0.00072046, TIME: 10243.8s
STEP [71320], EPOCH [43/100], ITER [1348/1666] 
LOSS: 0.00042065, TIME: 10246.7s
STEP [71340], EPOCH [43/100], ITER [1368/1666] 
LOSS: 0.00085314, TIME: 10249.5s
STEP [71360], EPOCH [43/100], ITER [1388/1666] 
LOSS: 0.00094653, TIME: 10252.4s
STEP [71380], EPOCH [43/100], ITER [1408/1666] 
LOSS: 0.00049965, TIME: 10255.2s
STEP [71400], EPOCH [43/100], ITER [1428/1666] 
LOSS: 0.00065988, TIME: 10258.1s
STEP [71420], EPOCH [43/100], ITER [1448/1666] 
LOSS: 0.00071796, TIME: 10261.0s
STEP [71440], EPOCH [43/100], ITER [1468/1666] 
LOSS: 0.00050195, TIME: 10263.8s
STEP [71460], EPOCH [43/100], ITER [1488/1666] 
LOSS: 0.00069377, TIME: 10266.7s
STEP [71480], EPOCH [43/100], ITER [1508/1666] 
LOSS: 0.00064866, TIME: 10269.5s
STEP [71500], EPOCH [43/100], ITER [1528/1666] 
LOSS: 0.00091101, TIME: 10272.4s
STEP [71520], EPOCH [43/100], ITER [1548/1666] 
LOSS: 0.00069969, TIME: 10275.2s
STEP [71540], EPOCH [43/100], ITER [1568/1666] 
LOSS: 0.00029183, TIME: 10278.1s
STEP [71560], EPOCH [43/100], ITER [1588/1666] 
LOSS: 0.00056033, TIME: 10280.9s
STEP [71580], EPOCH [43/100], ITER [1608/1666] 
LOSS: 0.00067815, TIME: 10283.8s
STEP [71600], EPOCH [43/100], ITER [1628/1666] 
LOSS: 0.00063172, TIME: 10286.6s
STEP [71620], EPOCH [43/100], ITER [1648/1666] 
LOSS: 0.00083588, TIME: 10289.5s
STEP [71640], EPOCH [44/100], ITER [2/1666] 
LOSS: 0.00080961, TIME: 10293.8s
STEP [71660], EPOCH [44/100], ITER [22/1666] 
LOSS: 0.00051740, TIME: 10296.7s
STEP [71680], EPOCH [44/100], ITER [42/1666] 
LOSS: 0.00036330, TIME: 10299.6s
STEP [71700], EPOCH [44/100], ITER [62/1666] 
LOSS: 0.00054205, TIME: 10302.4s
STEP [71720], EPOCH [44/100], ITER [82/1666] 
LOSS: 0.00042100, TIME: 10305.3s
STEP [71740], EPOCH [44/100], ITER [102/1666] 
LOSS: 0.00051420, TIME: 10308.1s
STEP [71760], EPOCH [44/100], ITER [122/1666] 
LOSS: 0.00069680, TIME: 10311.0s
STEP [71780], EPOCH [44/100], ITER [142/1666] 
LOSS: 0.00057329, TIME: 10313.8s
STEP [71800], EPOCH [44/100], ITER [162/1666] 
LOSS: 0.00055544, TIME: 10316.7s
STEP [71820], EPOCH [44/100], ITER [182/1666] 
LOSS: 0.00038037, TIME: 10319.5s
STEP [71840], EPOCH [44/100], ITER [202/1666] 
LOSS: 0.00069082, TIME: 10322.4s
STEP [71860], EPOCH [44/100], ITER [222/1666] 
LOSS: 0.00042629, TIME: 10325.2s
STEP [71880], EPOCH [44/100], ITER [242/1666] 
LOSS: 0.00085234, TIME: 10328.1s
STEP [71900], EPOCH [44/100], ITER [262/1666] 
LOSS: 0.00053290, TIME: 10330.9s
STEP [71920], EPOCH [44/100], ITER [282/1666] 
LOSS: 0.00078515, TIME: 10333.8s
STEP [71940], EPOCH [44/100], ITER [302/1666] 
LOSS: 0.00079090, TIME: 10336.6s
STEP [71960], EPOCH [44/100], ITER [322/1666] 
LOSS: 0.00068632, TIME: 10339.5s
STEP [71980], EPOCH [44/100], ITER [342/1666] 
LOSS: 0.00055347, TIME: 10342.3s
STEP [72000], EPOCH [44/100], ITER [362/1666] 
LOSS: 0.00044641, TIME: 10345.2s
STEP [72020], EPOCH [44/100], ITER [382/1666] 
LOSS: 0.00049958, TIME: 10348.1s
STEP [72040], EPOCH [44/100], ITER [402/1666] 
LOSS: 0.00053415, TIME: 10351.0s
STEP [72060], EPOCH [44/100], ITER [422/1666] 
LOSS: 0.00044628, TIME: 10353.8s
STEP [72080], EPOCH [44/100], ITER [442/1666] 
LOSS: 0.00063673, TIME: 10356.7s
STEP [72100], EPOCH [44/100], ITER [462/1666] 
LOSS: 0.00050197, TIME: 10359.5s
STEP [72120], EPOCH [44/100], ITER [482/1666] 
LOSS: 0.00055701, TIME: 10362.4s
STEP [72140], EPOCH [44/100], ITER [502/1666] 
LOSS: 0.00066466, TIME: 10365.2s
STEP [72160], EPOCH [44/100], ITER [522/1666] 
LOSS: 0.00091330, TIME: 10368.1s
STEP [72180], EPOCH [44/100], ITER [542/1666] 
LOSS: 0.00071518, TIME: 10371.0s
STEP [72200], EPOCH [44/100], ITER [562/1666] 
LOSS: 0.00073893, TIME: 10373.8s
STEP [72220], EPOCH [44/100], ITER [582/1666] 
LOSS: 0.00040156, TIME: 10376.7s
STEP [72240], EPOCH [44/100], ITER [602/1666] 
LOSS: 0.00072366, TIME: 10379.5s
STEP [72260], EPOCH [44/100], ITER [622/1666] 
LOSS: 0.00048790, TIME: 10382.4s
STEP [72280], EPOCH [44/100], ITER [642/1666] 
LOSS: 0.00045788, TIME: 10385.2s
STEP [72300], EPOCH [44/100], ITER [662/1666] 
LOSS: 0.00074799, TIME: 10388.1s
STEP [72320], EPOCH [44/100], ITER [682/1666] 
LOSS: 0.00048464, TIME: 10390.9s
STEP [72340], EPOCH [44/100], ITER [702/1666] 
LOSS: 0.00044567, TIME: 10393.8s
STEP [72360], EPOCH [44/100], ITER [722/1666] 
LOSS: 0.00052187, TIME: 10396.6s
STEP [72380], EPOCH [44/100], ITER [742/1666] 
LOSS: 0.00060558, TIME: 10399.5s
STEP [72400], EPOCH [44/100], ITER [762/1666] 
LOSS: 0.00047819, TIME: 10402.3s
STEP [72420], EPOCH [44/100], ITER [782/1666] 
LOSS: 0.00106954, TIME: 10405.2s
STEP [72440], EPOCH [44/100], ITER [802/1666] 
LOSS: 0.00085887, TIME: 10408.0s
STEP [72460], EPOCH [44/100], ITER [822/1666] 
LOSS: 0.00073097, TIME: 10410.9s
STEP [72480], EPOCH [44/100], ITER [842/1666] 
LOSS: 0.00058756, TIME: 10413.7s
STEP [72500], EPOCH [44/100], ITER [862/1666] 
LOSS: 0.00035686, TIME: 10416.6s
STEP [72520], EPOCH [44/100], ITER [882/1666] 
LOSS: 0.00048906, TIME: 10419.5s
STEP [72540], EPOCH [44/100], ITER [902/1666] 
LOSS: 0.00056859, TIME: 10422.3s
STEP [72560], EPOCH [44/100], ITER [922/1666] 
LOSS: 0.00056694, TIME: 10425.2s
STEP [72580], EPOCH [44/100], ITER [942/1666] 
LOSS: 0.00066616, TIME: 10428.0s
STEP [72600], EPOCH [44/100], ITER [962/1666] 
LOSS: 0.00114984, TIME: 10430.9s
STEP [72620], EPOCH [44/100], ITER [982/1666] 
LOSS: 0.00068326, TIME: 10433.7s
STEP [72640], EPOCH [44/100], ITER [1002/1666] 
LOSS: 0.00044259, TIME: 10436.6s
STEP [72660], EPOCH [44/100], ITER [1022/1666] 
LOSS: 0.00045145, TIME: 10439.4s
STEP [72680], EPOCH [44/100], ITER [1042/1666] 
LOSS: 0.00048409, TIME: 10442.3s
STEP [72700], EPOCH [44/100], ITER [1062/1666] 
LOSS: 0.00036493, TIME: 10445.1s
STEP [72720], EPOCH [44/100], ITER [1082/1666] 
LOSS: 0.00054417, TIME: 10448.0s
STEP [72740], EPOCH [44/100], ITER [1102/1666] 
LOSS: 0.00084715, TIME: 10450.8s
STEP [72760], EPOCH [44/100], ITER [1122/1666] 
LOSS: 0.00033542, TIME: 10453.7s
STEP [72780], EPOCH [44/100], ITER [1142/1666] 
LOSS: 0.00040128, TIME: 10456.6s
STEP [72800], EPOCH [44/100], ITER [1162/1666] 
LOSS: 0.00050958, TIME: 10459.4s
STEP [72820], EPOCH [44/100], ITER [1182/1666] 
LOSS: 0.00038729, TIME: 10462.3s
STEP [72840], EPOCH [44/100], ITER [1202/1666] 
LOSS: 0.00058148, TIME: 10465.1s
STEP [72860], EPOCH [44/100], ITER [1222/1666] 
LOSS: 0.00042637, TIME: 10468.0s
STEP [72880], EPOCH [44/100], ITER [1242/1666] 
LOSS: 0.00085742, TIME: 10470.8s
STEP [72900], EPOCH [44/100], ITER [1262/1666] 
LOSS: 0.00058040, TIME: 10473.7s
STEP [72920], EPOCH [44/100], ITER [1282/1666] 
LOSS: 0.00071293, TIME: 10476.5s
STEP [72940], EPOCH [44/100], ITER [1302/1666] 
LOSS: 0.00091187, TIME: 10479.4s
STEP [72960], EPOCH [44/100], ITER [1322/1666] 
LOSS: 0.00075887, TIME: 10482.2s
STEP [72980], EPOCH [44/100], ITER [1342/1666] 
LOSS: 0.00059581, TIME: 10485.1s
STEP [73000], EPOCH [44/100], ITER [1362/1666] 
LOSS: 0.00054077, TIME: 10487.9s
STEP [73020], EPOCH [44/100], ITER [1382/1666] 
LOSS: 0.00036302, TIME: 10490.9s
STEP [73040], EPOCH [44/100], ITER [1402/1666] 
LOSS: 0.00086558, TIME: 10493.7s
STEP [73060], EPOCH [44/100], ITER [1422/1666] 
LOSS: 0.00047015, TIME: 10496.6s
STEP [73080], EPOCH [44/100], ITER [1442/1666] 
LOSS: 0.00056308, TIME: 10499.4s
STEP [73100], EPOCH [44/100], ITER [1462/1666] 
LOSS: 0.00068636, TIME: 10502.3s
STEP [73120], EPOCH [44/100], ITER [1482/1666] 
LOSS: 0.00085305, TIME: 10505.1s
STEP [73140], EPOCH [44/100], ITER [1502/1666] 
LOSS: 0.00033792, TIME: 10508.0s
STEP [73160], EPOCH [44/100], ITER [1522/1666] 
LOSS: 0.00071497, TIME: 10510.8s
STEP [73180], EPOCH [44/100], ITER [1542/1666] 
LOSS: 0.00044322, TIME: 10513.7s
STEP [73200], EPOCH [44/100], ITER [1562/1666] 
LOSS: 0.00042785, TIME: 10516.6s
STEP [73220], EPOCH [44/100], ITER [1582/1666] 
LOSS: 0.00047573, TIME: 10519.4s
STEP [73240], EPOCH [44/100], ITER [1602/1666] 
LOSS: 0.00065000, TIME: 10522.3s
STEP [73260], EPOCH [44/100], ITER [1622/1666] 
LOSS: 0.00055989, TIME: 10525.1s
STEP [73280], EPOCH [44/100], ITER [1642/1666] 
LOSS: 0.00054188, TIME: 10528.0s
STEP [73300], EPOCH [44/100], ITER [1662/1666] 
LOSS: 0.00038938, TIME: 10530.8s
STEP [73320], EPOCH [45/100], ITER [16/1666] 
LOSS: 0.00071643, TIME: 10535.2s
STEP [73340], EPOCH [45/100], ITER [36/1666] 
LOSS: 0.00065567, TIME: 10538.0s
STEP [73360], EPOCH [45/100], ITER [56/1666] 
LOSS: 0.00065479, TIME: 10540.9s
STEP [73380], EPOCH [45/100], ITER [76/1666] 
LOSS: 0.00072247, TIME: 10543.7s
STEP [73400], EPOCH [45/100], ITER [96/1666] 
LOSS: 0.00056149, TIME: 10546.6s
STEP [73420], EPOCH [45/100], ITER [116/1666] 
LOSS: 0.00053573, TIME: 10549.4s
STEP [73440], EPOCH [45/100], ITER [136/1666] 
LOSS: 0.00046053, TIME: 10552.3s
STEP [73460], EPOCH [45/100], ITER [156/1666] 
LOSS: 0.00053406, TIME: 10555.1s
STEP [73480], EPOCH [45/100], ITER [176/1666] 
LOSS: 0.00050713, TIME: 10558.0s
STEP [73500], EPOCH [45/100], ITER [196/1666] 
LOSS: 0.00055706, TIME: 10560.8s
STEP [73520], EPOCH [45/100], ITER [216/1666] 
LOSS: 0.00073800, TIME: 10563.7s
STEP [73540], EPOCH [45/100], ITER [236/1666] 
LOSS: 0.00057422, TIME: 10566.6s
STEP [73560], EPOCH [45/100], ITER [256/1666] 
LOSS: 0.00045840, TIME: 10569.4s
STEP [73580], EPOCH [45/100], ITER [276/1666] 
LOSS: 0.00046612, TIME: 10572.3s
STEP [73600], EPOCH [45/100], ITER [296/1666] 
LOSS: 0.00063042, TIME: 10575.1s
STEP [73620], EPOCH [45/100], ITER [316/1666] 
LOSS: 0.00043424, TIME: 10578.0s
STEP [73640], EPOCH [45/100], ITER [336/1666] 
LOSS: 0.00052063, TIME: 10580.8s
STEP [73660], EPOCH [45/100], ITER [356/1666] 
LOSS: 0.00040823, TIME: 10583.7s
STEP [73680], EPOCH [45/100], ITER [376/1666] 
LOSS: 0.00085355, TIME: 10586.5s
STEP [73700], EPOCH [45/100], ITER [396/1666] 
LOSS: 0.00089609, TIME: 10589.4s
STEP [73720], EPOCH [45/100], ITER [416/1666] 
LOSS: 0.00072049, TIME: 10592.2s
STEP [73740], EPOCH [45/100], ITER [436/1666] 
LOSS: 0.00056243, TIME: 10595.1s
STEP [73760], EPOCH [45/100], ITER [456/1666] 
LOSS: 0.00048087, TIME: 10597.9s
STEP [73780], EPOCH [45/100], ITER [476/1666] 
LOSS: 0.00071441, TIME: 10600.8s
STEP [73800], EPOCH [45/100], ITER [496/1666] 
LOSS: 0.00039695, TIME: 10603.7s
STEP [73820], EPOCH [45/100], ITER [516/1666] 
LOSS: 0.00037733, TIME: 10606.5s
STEP [73840], EPOCH [45/100], ITER [536/1666] 
LOSS: 0.00066575, TIME: 10609.4s
STEP [73860], EPOCH [45/100], ITER [556/1666] 
LOSS: 0.00080770, TIME: 10612.2s
STEP [73880], EPOCH [45/100], ITER [576/1666] 
LOSS: 0.00040270, TIME: 10615.1s
STEP [73900], EPOCH [45/100], ITER [596/1666] 
LOSS: 0.00033744, TIME: 10617.9s
STEP [73920], EPOCH [45/100], ITER [616/1666] 
LOSS: 0.00061001, TIME: 10620.8s
STEP [73940], EPOCH [45/100], ITER [636/1666] 
LOSS: 0.00048929, TIME: 10623.6s
STEP [73960], EPOCH [45/100], ITER [656/1666] 
LOSS: 0.00069535, TIME: 10626.5s
STEP [73980], EPOCH [45/100], ITER [676/1666] 
LOSS: 0.00083942, TIME: 10629.3s
STEP [74000], EPOCH [45/100], ITER [696/1666] 
LOSS: 0.00061894, TIME: 10632.2s
STEP [74020], EPOCH [45/100], ITER [716/1666] 
LOSS: 0.00056527, TIME: 10635.1s
STEP [74040], EPOCH [45/100], ITER [736/1666] 
LOSS: 0.00045725, TIME: 10638.0s
STEP [74060], EPOCH [45/100], ITER [756/1666] 
LOSS: 0.00064383, TIME: 10640.8s
STEP [74080], EPOCH [45/100], ITER [776/1666] 
LOSS: 0.00068283, TIME: 10643.7s
STEP [74100], EPOCH [45/100], ITER [796/1666] 
LOSS: 0.00035071, TIME: 10646.5s
STEP [74120], EPOCH [45/100], ITER [816/1666] 
LOSS: 0.00057116, TIME: 10649.4s
STEP [74140], EPOCH [45/100], ITER [836/1666] 
LOSS: 0.00037988, TIME: 10652.2s
STEP [74160], EPOCH [45/100], ITER [856/1666] 
LOSS: 0.00078295, TIME: 10655.1s
STEP [74180], EPOCH [45/100], ITER [876/1666] 
LOSS: 0.00067179, TIME: 10657.9s
STEP [74200], EPOCH [45/100], ITER [896/1666] 
LOSS: 0.00050410, TIME: 10660.8s
STEP [74220], EPOCH [45/100], ITER [916/1666] 
LOSS: 0.00043309, TIME: 10663.6s
STEP [74240], EPOCH [45/100], ITER [936/1666] 
LOSS: 0.00062793, TIME: 10666.5s
STEP [74260], EPOCH [45/100], ITER [956/1666] 
LOSS: 0.00054660, TIME: 10669.4s
STEP [74280], EPOCH [45/100], ITER [976/1666] 
LOSS: 0.00047156, TIME: 10672.2s
STEP [74300], EPOCH [45/100], ITER [996/1666] 
LOSS: 0.00062259, TIME: 10675.1s
STEP [74320], EPOCH [45/100], ITER [1016/1666] 
LOSS: 0.00066933, TIME: 10677.9s
STEP [74340], EPOCH [45/100], ITER [1036/1666] 
LOSS: 0.00062177, TIME: 10680.8s
STEP [74360], EPOCH [45/100], ITER [1056/1666] 
LOSS: 0.00064059, TIME: 10683.6s
STEP [74380], EPOCH [45/100], ITER [1076/1666] 
LOSS: 0.00079600, TIME: 10686.5s
STEP [74400], EPOCH [45/100], ITER [1096/1666] 
LOSS: 0.00049832, TIME: 10689.3s
STEP [74420], EPOCH [45/100], ITER [1116/1666] 
LOSS: 0.00050531, TIME: 10692.2s
STEP [74440], EPOCH [45/100], ITER [1136/1666] 
LOSS: 0.00040647, TIME: 10695.0s
STEP [74460], EPOCH [45/100], ITER [1156/1666] 
LOSS: 0.00049791, TIME: 10697.9s
STEP [74480], EPOCH [45/100], ITER [1176/1666] 
LOSS: 0.00037379, TIME: 10700.7s
STEP [74500], EPOCH [45/100], ITER [1196/1666] 
LOSS: 0.00045111, TIME: 10703.6s
STEP [74520], EPOCH [45/100], ITER [1216/1666] 
LOSS: 0.00038441, TIME: 10706.4s
STEP [74540], EPOCH [45/100], ITER [1236/1666] 
LOSS: 0.00046981, TIME: 10709.3s
STEP [74560], EPOCH [45/100], ITER [1256/1666] 
LOSS: 0.00110146, TIME: 10712.2s
STEP [74580], EPOCH [45/100], ITER [1276/1666] 
LOSS: 0.00054443, TIME: 10715.0s
STEP [74600], EPOCH [45/100], ITER [1296/1666] 
LOSS: 0.00061424, TIME: 10717.9s
STEP [74620], EPOCH [45/100], ITER [1316/1666] 
LOSS: 0.00074161, TIME: 10720.7s
STEP [74640], EPOCH [45/100], ITER [1336/1666] 
LOSS: 0.00070897, TIME: 10723.6s
STEP [74660], EPOCH [45/100], ITER [1356/1666] 
LOSS: 0.00041896, TIME: 10726.4s
STEP [74680], EPOCH [45/100], ITER [1376/1666] 
LOSS: 0.00061047, TIME: 10729.3s
STEP [74700], EPOCH [45/100], ITER [1396/1666] 
LOSS: 0.00061931, TIME: 10732.1s
STEP [74720], EPOCH [45/100], ITER [1416/1666] 
LOSS: 0.00058805, TIME: 10735.0s
STEP [74740], EPOCH [45/100], ITER [1436/1666] 
LOSS: 0.00059592, TIME: 10737.8s
STEP [74760], EPOCH [45/100], ITER [1456/1666] 
LOSS: 0.00073879, TIME: 10740.7s
STEP [74780], EPOCH [45/100], ITER [1476/1666] 
LOSS: 0.00065462, TIME: 10743.5s
STEP [74800], EPOCH [45/100], ITER [1496/1666] 
LOSS: 0.00054434, TIME: 10746.4s
STEP [74820], EPOCH [45/100], ITER [1516/1666] 
LOSS: 0.00045194, TIME: 10749.3s
STEP [74840], EPOCH [45/100], ITER [1536/1666] 
LOSS: 0.00059608, TIME: 10752.1s
STEP [74860], EPOCH [45/100], ITER [1556/1666] 
LOSS: 0.00061871, TIME: 10755.0s
STEP [74880], EPOCH [45/100], ITER [1576/1666] 
LOSS: 0.00054921, TIME: 10757.8s
STEP [74900], EPOCH [45/100], ITER [1596/1666] 
LOSS: 0.00062821, TIME: 10760.7s
STEP [74920], EPOCH [45/100], ITER [1616/1666] 
LOSS: 0.00083405, TIME: 10763.5s
STEP [74940], EPOCH [45/100], ITER [1636/1666] 
LOSS: 0.00091703, TIME: 10766.4s
STEP [74960], EPOCH [45/100], ITER [1656/1666] 
LOSS: 0.00071056, TIME: 10769.2s
STEP [74980], EPOCH [46/100], ITER [10/1666] 
LOSS: 0.00085112, TIME: 10773.5s
STEP [75000], EPOCH [46/100], ITER [30/1666] 
LOSS: 0.00048395, TIME: 10776.3s
STEP [75020], EPOCH [46/100], ITER [50/1666] 
LOSS: 0.00065283, TIME: 10779.3s
STEP [75040], EPOCH [46/100], ITER [70/1666] 
LOSS: 0.00053435, TIME: 10782.1s
STEP [75060], EPOCH [46/100], ITER [90/1666] 
LOSS: 0.00052922, TIME: 10785.0s
STEP [75080], EPOCH [46/100], ITER [110/1666] 
LOSS: 0.00097327, TIME: 10787.8s
STEP [75100], EPOCH [46/100], ITER [130/1666] 
LOSS: 0.00097624, TIME: 10790.6s
STEP [75120], EPOCH [46/100], ITER [150/1666] 
LOSS: 0.00062516, TIME: 10793.5s
STEP [75140], EPOCH [46/100], ITER [170/1666] 
LOSS: 0.00075481, TIME: 10796.3s
STEP [75160], EPOCH [46/100], ITER [190/1666] 
LOSS: 0.00033177, TIME: 10799.2s
STEP [75180], EPOCH [46/100], ITER [210/1666] 
LOSS: 0.00047952, TIME: 10802.0s
STEP [75200], EPOCH [46/100], ITER [230/1666] 
LOSS: 0.00064538, TIME: 10804.9s
STEP [75220], EPOCH [46/100], ITER [250/1666] 
LOSS: 0.00066260, TIME: 10807.7s
STEP [75240], EPOCH [46/100], ITER [270/1666] 
LOSS: 0.00063193, TIME: 10810.6s
STEP [75260], EPOCH [46/100], ITER [290/1666] 
LOSS: 0.00078649, TIME: 10813.4s
STEP [75280], EPOCH [46/100], ITER [310/1666] 
LOSS: 0.00065223, TIME: 10816.3s
STEP [75300], EPOCH [46/100], ITER [330/1666] 
LOSS: 0.00042686, TIME: 10819.1s
STEP [75320], EPOCH [46/100], ITER [350/1666] 
LOSS: 0.00104332, TIME: 10822.0s
STEP [75340], EPOCH [46/100], ITER [370/1666] 
LOSS: 0.00065936, TIME: 10824.8s
STEP [75360], EPOCH [46/100], ITER [390/1666] 
LOSS: 0.00073187, TIME: 10827.7s
STEP [75380], EPOCH [46/100], ITER [410/1666] 
LOSS: 0.00064769, TIME: 10830.5s
STEP [75400], EPOCH [46/100], ITER [430/1666] 
LOSS: 0.00068644, TIME: 10833.4s
STEP [75420], EPOCH [46/100], ITER [450/1666] 
LOSS: 0.00058328, TIME: 10836.2s
STEP [75440], EPOCH [46/100], ITER [470/1666] 
LOSS: 0.00048035, TIME: 10839.1s
STEP [75460], EPOCH [46/100], ITER [490/1666] 
LOSS: 0.00118543, TIME: 10841.9s
STEP [75480], EPOCH [46/100], ITER [510/1666] 
LOSS: 0.00040960, TIME: 10844.8s
STEP [75500], EPOCH [46/100], ITER [530/1666] 
LOSS: 0.00041437, TIME: 10847.6s
STEP [75520], EPOCH [46/100], ITER [550/1666] 
LOSS: 0.00032986, TIME: 10850.5s
STEP [75540], EPOCH [46/100], ITER [570/1666] 
LOSS: 0.00050917, TIME: 10853.3s
STEP [75560], EPOCH [46/100], ITER [590/1666] 
LOSS: 0.00067726, TIME: 10856.2s
STEP [75580], EPOCH [46/100], ITER [610/1666] 
LOSS: 0.00044480, TIME: 10859.0s
STEP [75600], EPOCH [46/100], ITER [630/1666] 
LOSS: 0.00071400, TIME: 10861.9s
STEP [75620], EPOCH [46/100], ITER [650/1666] 
LOSS: 0.00059462, TIME: 10864.7s
STEP [75640], EPOCH [46/100], ITER [670/1666] 
LOSS: 0.00044015, TIME: 10867.6s
STEP [75660], EPOCH [46/100], ITER [690/1666] 
LOSS: 0.00041550, TIME: 10870.4s
STEP [75680], EPOCH [46/100], ITER [710/1666] 
LOSS: 0.00056736, TIME: 10873.3s
STEP [75700], EPOCH [46/100], ITER [730/1666] 
LOSS: 0.00082849, TIME: 10876.1s
STEP [75720], EPOCH [46/100], ITER [750/1666] 
LOSS: 0.00076520, TIME: 10879.0s
STEP [75740], EPOCH [46/100], ITER [770/1666] 
LOSS: 0.00087551, TIME: 10881.8s
STEP [75760], EPOCH [46/100], ITER [790/1666] 
LOSS: 0.00047037, TIME: 10884.7s
STEP [75780], EPOCH [46/100], ITER [810/1666] 
LOSS: 0.00047585, TIME: 10887.5s
STEP [75800], EPOCH [46/100], ITER [830/1666] 
LOSS: 0.00046345, TIME: 10890.4s
STEP [75820], EPOCH [46/100], ITER [850/1666] 
LOSS: 0.00051911, TIME: 10893.2s
STEP [75840], EPOCH [46/100], ITER [870/1666] 
LOSS: 0.00068164, TIME: 10896.1s
STEP [75860], EPOCH [46/100], ITER [890/1666] 
LOSS: 0.00048394, TIME: 10898.9s
STEP [75880], EPOCH [46/100], ITER [910/1666] 
LOSS: 0.00063652, TIME: 10901.8s
STEP [75900], EPOCH [46/100], ITER [930/1666] 
LOSS: 0.00048015, TIME: 10904.6s
STEP [75920], EPOCH [46/100], ITER [950/1666] 
LOSS: 0.00055562, TIME: 10907.5s
STEP [75940], EPOCH [46/100], ITER [970/1666] 
LOSS: 0.00065113, TIME: 10910.3s
STEP [75960], EPOCH [46/100], ITER [990/1666] 
LOSS: 0.00083118, TIME: 10913.2s
STEP [75980], EPOCH [46/100], ITER [1010/1666] 
LOSS: 0.00061786, TIME: 10916.0s
STEP [76000], EPOCH [46/100], ITER [1030/1666] 
LOSS: 0.00028418, TIME: 10918.9s
STEP [76020], EPOCH [46/100], ITER [1050/1666] 
LOSS: 0.00072683, TIME: 10921.8s
STEP [76040], EPOCH [46/100], ITER [1070/1666] 
LOSS: 0.00059413, TIME: 10924.7s
STEP [76060], EPOCH [46/100], ITER [1090/1666] 
LOSS: 0.00059966, TIME: 10927.5s
STEP [76080], EPOCH [46/100], ITER [1110/1666] 
LOSS: 0.00032140, TIME: 10930.4s
STEP [76100], EPOCH [46/100], ITER [1130/1666] 
LOSS: 0.00051856, TIME: 10933.2s
STEP [76120], EPOCH [46/100], ITER [1150/1666] 
LOSS: 0.00044915, TIME: 10936.0s
STEP [76140], EPOCH [46/100], ITER [1170/1666] 
LOSS: 0.00051841, TIME: 10938.9s
STEP [76160], EPOCH [46/100], ITER [1190/1666] 
LOSS: 0.00056179, TIME: 10941.7s
STEP [76180], EPOCH [46/100], ITER [1210/1666] 
LOSS: 0.00071206, TIME: 10944.6s
STEP [76200], EPOCH [46/100], ITER [1230/1666] 
LOSS: 0.00091576, TIME: 10947.4s
STEP [76220], EPOCH [46/100], ITER [1250/1666] 
LOSS: 0.00067681, TIME: 10950.3s
STEP [76240], EPOCH [46/100], ITER [1270/1666] 
LOSS: 0.00064026, TIME: 10953.1s
STEP [76260], EPOCH [46/100], ITER [1290/1666] 
LOSS: 0.00072677, TIME: 10956.0s
STEP [76280], EPOCH [46/100], ITER [1310/1666] 
LOSS: 0.00035997, TIME: 10958.8s
STEP [76300], EPOCH [46/100], ITER [1330/1666] 
LOSS: 0.00032922, TIME: 10961.7s
STEP [76320], EPOCH [46/100], ITER [1350/1666] 
LOSS: 0.00043031, TIME: 10964.5s
STEP [76340], EPOCH [46/100], ITER [1370/1666] 
LOSS: 0.00058320, TIME: 10967.4s
STEP [76360], EPOCH [46/100], ITER [1390/1666] 
LOSS: 0.00082770, TIME: 10970.2s
STEP [76380], EPOCH [46/100], ITER [1410/1666] 
LOSS: 0.00085072, TIME: 10973.1s
STEP [76400], EPOCH [46/100], ITER [1430/1666] 
LOSS: 0.00065976, TIME: 10975.9s
STEP [76420], EPOCH [46/100], ITER [1450/1666] 
LOSS: 0.00048530, TIME: 10978.8s
STEP [76440], EPOCH [46/100], ITER [1470/1666] 
LOSS: 0.00063166, TIME: 10981.6s
STEP [76460], EPOCH [46/100], ITER [1490/1666] 
LOSS: 0.00065725, TIME: 10984.5s
STEP [76480], EPOCH [46/100], ITER [1510/1666] 
LOSS: 0.00073806, TIME: 10987.3s
STEP [76500], EPOCH [46/100], ITER [1530/1666] 
LOSS: 0.00041659, TIME: 10990.2s
STEP [76520], EPOCH [46/100], ITER [1550/1666] 
LOSS: 0.00044692, TIME: 10993.0s
STEP [76540], EPOCH [46/100], ITER [1570/1666] 
LOSS: 0.00048840, TIME: 10995.9s
STEP [76560], EPOCH [46/100], ITER [1590/1666] 
LOSS: 0.00057943, TIME: 10998.7s
STEP [76580], EPOCH [46/100], ITER [1610/1666] 
LOSS: 0.00072161, TIME: 11001.6s
STEP [76600], EPOCH [46/100], ITER [1630/1666] 
LOSS: 0.00092013, TIME: 11004.4s
STEP [76620], EPOCH [46/100], ITER [1650/1666] 
LOSS: 0.00059134, TIME: 11007.3s
STEP [76640], EPOCH [47/100], ITER [4/1666] 
LOSS: 0.00066735, TIME: 11011.6s
STEP [76660], EPOCH [47/100], ITER [24/1666] 
LOSS: 0.00078458, TIME: 11014.4s
STEP [76680], EPOCH [47/100], ITER [44/1666] 
LOSS: 0.00082032, TIME: 11017.3s
STEP [76700], EPOCH [47/100], ITER [64/1666] 
LOSS: 0.00042075, TIME: 11020.1s
STEP [76720], EPOCH [47/100], ITER [84/1666] 
LOSS: 0.00044940, TIME: 11023.0s
STEP [76740], EPOCH [47/100], ITER [104/1666] 
LOSS: 0.00076280, TIME: 11025.8s
STEP [76760], EPOCH [47/100], ITER [124/1666] 
LOSS: 0.00048906, TIME: 11028.7s
STEP [76780], EPOCH [47/100], ITER [144/1666] 
LOSS: 0.00062400, TIME: 11031.5s
STEP [76800], EPOCH [47/100], ITER [164/1666] 
LOSS: 0.00063106, TIME: 11034.4s
STEP [76820], EPOCH [47/100], ITER [184/1666] 
LOSS: 0.00074972, TIME: 11037.2s
STEP [76840], EPOCH [47/100], ITER [204/1666] 
LOSS: 0.00071154, TIME: 11040.1s
STEP [76860], EPOCH [47/100], ITER [224/1666] 
LOSS: 0.00086046, TIME: 11043.0s
STEP [76880], EPOCH [47/100], ITER [244/1666] 
LOSS: 0.00062333, TIME: 11045.8s
STEP [76900], EPOCH [47/100], ITER [264/1666] 
LOSS: 0.00059024, TIME: 11048.7s
STEP [76920], EPOCH [47/100], ITER [284/1666] 
LOSS: 0.00051022, TIME: 11051.5s
STEP [76940], EPOCH [47/100], ITER [304/1666] 
LOSS: 0.00078563, TIME: 11054.4s
STEP [76960], EPOCH [47/100], ITER [324/1666] 
LOSS: 0.00050926, TIME: 11057.2s
STEP [76980], EPOCH [47/100], ITER [344/1666] 
LOSS: 0.00053899, TIME: 11060.1s
STEP [77000], EPOCH [47/100], ITER [364/1666] 
LOSS: 0.00052836, TIME: 11062.9s
STEP [77020], EPOCH [47/100], ITER [384/1666] 
LOSS: 0.00037748, TIME: 11065.9s
STEP [77040], EPOCH [47/100], ITER [404/1666] 
LOSS: 0.00041963, TIME: 11068.7s
STEP [77060], EPOCH [47/100], ITER [424/1666] 
LOSS: 0.00052458, TIME: 11071.6s
STEP [77080], EPOCH [47/100], ITER [444/1666] 
LOSS: 0.00063417, TIME: 11074.4s
STEP [77100], EPOCH [47/100], ITER [464/1666] 
LOSS: 0.00048736, TIME: 11077.3s
STEP [77120], EPOCH [47/100], ITER [484/1666] 
LOSS: 0.00104926, TIME: 11080.1s
STEP [77140], EPOCH [47/100], ITER [504/1666] 
LOSS: 0.00077863, TIME: 11083.0s
STEP [77160], EPOCH [47/100], ITER [524/1666] 
LOSS: 0.00083020, TIME: 11085.8s
STEP [77180], EPOCH [47/100], ITER [544/1666] 
LOSS: 0.00063440, TIME: 11088.7s
STEP [77200], EPOCH [47/100], ITER [564/1666] 
LOSS: 0.00058509, TIME: 11091.5s
STEP [77220], EPOCH [47/100], ITER [584/1666] 
LOSS: 0.00050536, TIME: 11094.4s
STEP [77240], EPOCH [47/100], ITER [604/1666] 
LOSS: 0.00064322, TIME: 11097.2s
STEP [77260], EPOCH [47/100], ITER [624/1666] 
LOSS: 0.00047752, TIME: 11100.1s
STEP [77280], EPOCH [47/100], ITER [644/1666] 
LOSS: 0.00091242, TIME: 11103.0s
STEP [77300], EPOCH [47/100], ITER [664/1666] 
LOSS: 0.00046017, TIME: 11105.8s
STEP [77320], EPOCH [47/100], ITER [684/1666] 
LOSS: 0.00038903, TIME: 11108.7s
STEP [77340], EPOCH [47/100], ITER [704/1666] 
LOSS: 0.00075545, TIME: 11111.5s
STEP [77360], EPOCH [47/100], ITER [724/1666] 
LOSS: 0.00073441, TIME: 11114.4s
STEP [77380], EPOCH [47/100], ITER [744/1666] 
LOSS: 0.00072833, TIME: 11117.2s
STEP [77400], EPOCH [47/100], ITER [764/1666] 
LOSS: 0.00053106, TIME: 11120.1s
STEP [77420], EPOCH [47/100], ITER [784/1666] 
LOSS: 0.00052734, TIME: 11122.9s
STEP [77440], EPOCH [47/100], ITER [804/1666] 
LOSS: 0.00042317, TIME: 11125.8s
STEP [77460], EPOCH [47/100], ITER [824/1666] 
LOSS: 0.00090683, TIME: 11128.6s
STEP [77480], EPOCH [47/100], ITER [844/1666] 
LOSS: 0.00034943, TIME: 11131.5s
STEP [77500], EPOCH [47/100], ITER [864/1666] 
LOSS: 0.00063809, TIME: 11134.3s
STEP [77520], EPOCH [47/100], ITER [884/1666] 
LOSS: 0.00060323, TIME: 11137.2s
STEP [77540], EPOCH [47/100], ITER [904/1666] 
LOSS: 0.00031239, TIME: 11140.0s
STEP [77560], EPOCH [47/100], ITER [924/1666] 
LOSS: 0.00050445, TIME: 11142.9s
STEP [77580], EPOCH [47/100], ITER [944/1666] 
LOSS: 0.00067120, TIME: 11145.7s
STEP [77600], EPOCH [47/100], ITER [964/1666] 
LOSS: 0.00052320, TIME: 11148.6s
STEP [77620], EPOCH [47/100], ITER [984/1666] 
LOSS: 0.00068382, TIME: 11151.5s
STEP [77640], EPOCH [47/100], ITER [1004/1666] 
LOSS: 0.00037732, TIME: 11154.3s
STEP [77660], EPOCH [47/100], ITER [1024/1666] 
LOSS: 0.00053957, TIME: 11157.2s
STEP [77680], EPOCH [47/100], ITER [1044/1666] 
LOSS: 0.00030967, TIME: 11160.0s
STEP [77700], EPOCH [47/100], ITER [1064/1666] 
LOSS: 0.00053090, TIME: 11162.9s
STEP [77720], EPOCH [47/100], ITER [1084/1666] 
LOSS: 0.00037723, TIME: 11165.7s
STEP [77740], EPOCH [47/100], ITER [1104/1666] 
LOSS: 0.00070054, TIME: 11168.6s
STEP [77760], EPOCH [47/100], ITER [1124/1666] 
LOSS: 0.00057868, TIME: 11171.4s
STEP [77780], EPOCH [47/100], ITER [1144/1666] 
LOSS: 0.00054530, TIME: 11174.3s
STEP [77800], EPOCH [47/100], ITER [1164/1666] 
LOSS: 0.00096421, TIME: 11177.1s
STEP [77820], EPOCH [47/100], ITER [1184/1666] 
LOSS: 0.00086674, TIME: 11180.0s
STEP [77840], EPOCH [47/100], ITER [1204/1666] 
LOSS: 0.00056936, TIME: 11182.8s
STEP [77860], EPOCH [47/100], ITER [1224/1666] 
LOSS: 0.00075076, TIME: 11185.7s
STEP [77880], EPOCH [47/100], ITER [1244/1666] 
LOSS: 0.00027548, TIME: 11188.6s
STEP [77900], EPOCH [47/100], ITER [1264/1666] 
LOSS: 0.00068540, TIME: 11191.4s
STEP [77920], EPOCH [47/100], ITER [1284/1666] 
LOSS: 0.00074949, TIME: 11194.3s
STEP [77940], EPOCH [47/100], ITER [1304/1666] 
LOSS: 0.00085367, TIME: 11197.1s
STEP [77960], EPOCH [47/100], ITER [1324/1666] 
LOSS: 0.00050760, TIME: 11200.0s
STEP [77980], EPOCH [47/100], ITER [1344/1666] 
LOSS: 0.00076776, TIME: 11202.8s
STEP [78000], EPOCH [47/100], ITER [1364/1666] 
LOSS: 0.00053646, TIME: 11205.7s
STEP [78020], EPOCH [47/100], ITER [1384/1666] 
LOSS: 0.00057062, TIME: 11208.6s
STEP [78040], EPOCH [47/100], ITER [1404/1666] 
LOSS: 0.00069416, TIME: 11211.4s
STEP [78060], EPOCH [47/100], ITER [1424/1666] 
LOSS: 0.00080339, TIME: 11214.3s
STEP [78080], EPOCH [47/100], ITER [1444/1666] 
LOSS: 0.00057298, TIME: 11217.1s
STEP [78100], EPOCH [47/100], ITER [1464/1666] 
LOSS: 0.00070864, TIME: 11220.0s
STEP [78120], EPOCH [47/100], ITER [1484/1666] 
LOSS: 0.00070218, TIME: 11222.8s
STEP [78140], EPOCH [47/100], ITER [1504/1666] 
LOSS: 0.00047183, TIME: 11225.7s
STEP [78160], EPOCH [47/100], ITER [1524/1666] 
LOSS: 0.00052280, TIME: 11228.6s
STEP [78180], EPOCH [47/100], ITER [1544/1666] 
LOSS: 0.00066893, TIME: 11231.4s
STEP [78200], EPOCH [47/100], ITER [1564/1666] 
LOSS: 0.00061345, TIME: 11234.3s
STEP [78220], EPOCH [47/100], ITER [1584/1666] 
LOSS: 0.00048955, TIME: 11237.1s
STEP [78240], EPOCH [47/100], ITER [1604/1666] 
LOSS: 0.00072724, TIME: 11240.0s
STEP [78260], EPOCH [47/100], ITER [1624/1666] 
LOSS: 0.00068258, TIME: 11242.8s
STEP [78280], EPOCH [47/100], ITER [1644/1666] 
LOSS: 0.00119535, TIME: 11245.7s
STEP [78300], EPOCH [47/100], ITER [1664/1666] 
LOSS: 0.00055341, TIME: 11248.5s
STEP [78320], EPOCH [48/100], ITER [18/1666] 
LOSS: 0.00117409, TIME: 11252.9s
STEP [78340], EPOCH [48/100], ITER [38/1666] 
LOSS: 0.00042246, TIME: 11255.8s
STEP [78360], EPOCH [48/100], ITER [58/1666] 
LOSS: 0.00050749, TIME: 11258.6s
STEP [78380], EPOCH [48/100], ITER [78/1666] 
LOSS: 0.00071957, TIME: 11261.5s
STEP [78400], EPOCH [48/100], ITER [98/1666] 
LOSS: 0.00064895, TIME: 11264.3s
STEP [78420], EPOCH [48/100], ITER [118/1666] 
LOSS: 0.00047286, TIME: 11267.2s
STEP [78440], EPOCH [48/100], ITER [138/1666] 
LOSS: 0.00049215, TIME: 11270.0s
STEP [78460], EPOCH [48/100], ITER [158/1666] 
LOSS: 0.00053184, TIME: 11272.9s
STEP [78480], EPOCH [48/100], ITER [178/1666] 
LOSS: 0.00050318, TIME: 11275.7s
STEP [78500], EPOCH [48/100], ITER [198/1666] 
LOSS: 0.00072713, TIME: 11278.6s
STEP [78520], EPOCH [48/100], ITER [218/1666] 
LOSS: 0.00071940, TIME: 11281.4s
STEP [78540], EPOCH [48/100], ITER [238/1666] 
LOSS: 0.00047544, TIME: 11284.3s
STEP [78560], EPOCH [48/100], ITER [258/1666] 
LOSS: 0.00049191, TIME: 11287.1s
STEP [78580], EPOCH [48/100], ITER [278/1666] 
LOSS: 0.00054967, TIME: 11290.0s
STEP [78600], EPOCH [48/100], ITER [298/1666] 
LOSS: 0.00064919, TIME: 11292.8s
STEP [78620], EPOCH [48/100], ITER [318/1666] 
LOSS: 0.00067831, TIME: 11295.7s
STEP [78640], EPOCH [48/100], ITER [338/1666] 
LOSS: 0.00047894, TIME: 11298.5s
STEP [78660], EPOCH [48/100], ITER [358/1666] 
LOSS: 0.00041105, TIME: 11301.4s
STEP [78680], EPOCH [48/100], ITER [378/1666] 
LOSS: 0.00052046, TIME: 11304.2s
STEP [78700], EPOCH [48/100], ITER [398/1666] 
LOSS: 0.00052010, TIME: 11307.1s
STEP [78720], EPOCH [48/100], ITER [418/1666] 
LOSS: 0.00079179, TIME: 11309.9s
STEP [78740], EPOCH [48/100], ITER [438/1666] 
LOSS: 0.00062282, TIME: 11312.8s
STEP [78760], EPOCH [48/100], ITER [458/1666] 
LOSS: 0.00071568, TIME: 11315.6s
STEP [78780], EPOCH [48/100], ITER [478/1666] 
LOSS: 0.00045989, TIME: 11318.5s
STEP [78800], EPOCH [48/100], ITER [498/1666] 
LOSS: 0.00120885, TIME: 11321.4s
STEP [78820], EPOCH [48/100], ITER [518/1666] 
LOSS: 0.00067840, TIME: 11324.2s
STEP [78840], EPOCH [48/100], ITER [538/1666] 
LOSS: 0.00047600, TIME: 11327.1s
STEP [78860], EPOCH [48/100], ITER [558/1666] 
LOSS: 0.00052933, TIME: 11329.9s
STEP [78880], EPOCH [48/100], ITER [578/1666] 
LOSS: 0.00046048, TIME: 11332.8s
STEP [78900], EPOCH [48/100], ITER [598/1666] 
LOSS: 0.00045970, TIME: 11335.6s
STEP [78920], EPOCH [48/100], ITER [618/1666] 
LOSS: 0.00066741, TIME: 11338.5s
STEP [78940], EPOCH [48/100], ITER [638/1666] 
LOSS: 0.00055033, TIME: 11341.3s
STEP [78960], EPOCH [48/100], ITER [658/1666] 
LOSS: 0.00088864, TIME: 11344.2s
STEP [78980], EPOCH [48/100], ITER [678/1666] 
LOSS: 0.00062579, TIME: 11347.0s
STEP [79000], EPOCH [48/100], ITER [698/1666] 
LOSS: 0.00060342, TIME: 11349.9s
STEP [79020], EPOCH [48/100], ITER [718/1666] 
LOSS: 0.00075870, TIME: 11352.8s
STEP [79040], EPOCH [48/100], ITER [738/1666] 
LOSS: 0.00050350, TIME: 11355.6s
STEP [79060], EPOCH [48/100], ITER [758/1666] 
LOSS: 0.00072343, TIME: 11358.5s
STEP [79080], EPOCH [48/100], ITER [778/1666] 
LOSS: 0.00067894, TIME: 11361.3s
STEP [79100], EPOCH [48/100], ITER [798/1666] 
LOSS: 0.00064434, TIME: 11364.2s
STEP [79120], EPOCH [48/100], ITER [818/1666] 
LOSS: 0.00060626, TIME: 11367.0s
STEP [79140], EPOCH [48/100], ITER [838/1666] 
LOSS: 0.00062315, TIME: 11369.9s
STEP [79160], EPOCH [48/100], ITER [858/1666] 
LOSS: 0.00072986, TIME: 11372.7s
STEP [79180], EPOCH [48/100], ITER [878/1666] 
LOSS: 0.00062018, TIME: 11375.6s
STEP [79200], EPOCH [48/100], ITER [898/1666] 
LOSS: 0.00064459, TIME: 11378.5s
STEP [79220], EPOCH [48/100], ITER [918/1666] 
LOSS: 0.00065919, TIME: 11381.3s
STEP [79240], EPOCH [48/100], ITER [938/1666] 
LOSS: 0.00045193, TIME: 11384.2s
STEP [79260], EPOCH [48/100], ITER [958/1666] 
LOSS: 0.00058423, TIME: 11387.0s
STEP [79280], EPOCH [48/100], ITER [978/1666] 
LOSS: 0.00067856, TIME: 11389.9s
STEP [79300], EPOCH [48/100], ITER [998/1666] 
LOSS: 0.00055207, TIME: 11392.7s
STEP [79320], EPOCH [48/100], ITER [1018/1666] 
LOSS: 0.00056550, TIME: 11395.6s
STEP [79340], EPOCH [48/100], ITER [1038/1666] 
LOSS: 0.00067039, TIME: 11398.4s
STEP [79360], EPOCH [48/100], ITER [1058/1666] 
LOSS: 0.00045107, TIME: 11401.3s
STEP [79380], EPOCH [48/100], ITER [1078/1666] 
LOSS: 0.00092985, TIME: 11404.1s
STEP [79400], EPOCH [48/100], ITER [1098/1666] 
LOSS: 0.00118836, TIME: 11407.0s
STEP [79420], EPOCH [48/100], ITER [1118/1666] 
LOSS: 0.00075592, TIME: 11409.8s
STEP [79440], EPOCH [48/100], ITER [1138/1666] 
LOSS: 0.00084606, TIME: 11412.7s
STEP [79460], EPOCH [48/100], ITER [1158/1666] 
LOSS: 0.00042893, TIME: 11415.5s
STEP [79480], EPOCH [48/100], ITER [1178/1666] 
LOSS: 0.00067191, TIME: 11418.4s
STEP [79500], EPOCH [48/100], ITER [1198/1666] 
LOSS: 0.00068618, TIME: 11421.2s
STEP [79520], EPOCH [48/100], ITER [1218/1666] 
LOSS: 0.00090792, TIME: 11424.1s
STEP [79540], EPOCH [48/100], ITER [1238/1666] 
LOSS: 0.00077371, TIME: 11426.9s
STEP [79560], EPOCH [48/100], ITER [1258/1666] 
LOSS: 0.00058171, TIME: 11429.8s
STEP [79580], EPOCH [48/100], ITER [1278/1666] 
LOSS: 0.00047894, TIME: 11432.6s
STEP [79600], EPOCH [48/100], ITER [1298/1666] 
LOSS: 0.00072127, TIME: 11435.5s
STEP [79620], EPOCH [48/100], ITER [1318/1666] 
LOSS: 0.00070894, TIME: 11438.3s
STEP [79640], EPOCH [48/100], ITER [1338/1666] 
LOSS: 0.00069073, TIME: 11441.2s
STEP [79660], EPOCH [48/100], ITER [1358/1666] 
LOSS: 0.00061253, TIME: 11444.0s
STEP [79680], EPOCH [48/100], ITER [1378/1666] 
LOSS: 0.00062872, TIME: 11446.9s
STEP [79700], EPOCH [48/100], ITER [1398/1666] 
LOSS: 0.00046233, TIME: 11449.7s
STEP [79720], EPOCH [48/100], ITER [1418/1666] 
LOSS: 0.00053434, TIME: 11452.6s
STEP [79740], EPOCH [48/100], ITER [1438/1666] 
LOSS: 0.00046714, TIME: 11455.4s
STEP [79760], EPOCH [48/100], ITER [1458/1666] 
LOSS: 0.00066093, TIME: 11458.3s
STEP [79780], EPOCH [48/100], ITER [1478/1666] 
LOSS: 0.00065965, TIME: 11461.2s
STEP [79800], EPOCH [48/100], ITER [1498/1666] 
LOSS: 0.00041842, TIME: 11464.0s
STEP [79820], EPOCH [48/100], ITER [1518/1666] 
LOSS: 0.00078495, TIME: 11466.9s
STEP [79840], EPOCH [48/100], ITER [1538/1666] 
LOSS: 0.00085848, TIME: 11469.7s
STEP [79860], EPOCH [48/100], ITER [1558/1666] 
LOSS: 0.00059681, TIME: 11472.6s
STEP [79880], EPOCH [48/100], ITER [1578/1666] 
LOSS: 0.00059742, TIME: 11475.4s
STEP [79900], EPOCH [48/100], ITER [1598/1666] 
LOSS: 0.00051259, TIME: 11478.3s
STEP [79920], EPOCH [48/100], ITER [1618/1666] 
LOSS: 0.00075602, TIME: 11481.1s
STEP [79940], EPOCH [48/100], ITER [1638/1666] 
LOSS: 0.00052721, TIME: 11484.0s
STEP [79960], EPOCH [48/100], ITER [1658/1666] 
LOSS: 0.00048211, TIME: 11486.8s
STEP [79980], EPOCH [49/100], ITER [12/1666] 
LOSS: 0.00042084, TIME: 11491.1s
STEP [80000], EPOCH [49/100], ITER [32/1666] 
LOSS: 0.00045096, TIME: 11494.0s
STEP [80020], EPOCH [49/100], ITER [52/1666] 
LOSS: 0.00067231, TIME: 11496.9s
STEP [80040], EPOCH [49/100], ITER [72/1666] 
LOSS: 0.00044081, TIME: 11499.8s
STEP [80060], EPOCH [49/100], ITER [92/1666] 
LOSS: 0.00037523, TIME: 11502.6s
STEP [80080], EPOCH [49/100], ITER [112/1666] 
LOSS: 0.00071848, TIME: 11505.5s
STEP [80100], EPOCH [49/100], ITER [132/1666] 
LOSS: 0.00071297, TIME: 11508.3s
STEP [80120], EPOCH [49/100], ITER [152/1666] 
LOSS: 0.00066275, TIME: 11511.2s
STEP [80140], EPOCH [49/100], ITER [172/1666] 
LOSS: 0.00121113, TIME: 11514.0s
STEP [80160], EPOCH [49/100], ITER [192/1666] 
LOSS: 0.00060906, TIME: 11516.9s
STEP [80180], EPOCH [49/100], ITER [212/1666] 
LOSS: 0.00052737, TIME: 11519.7s
STEP [80200], EPOCH [49/100], ITER [232/1666] 
LOSS: 0.00045864, TIME: 11522.6s
STEP [80220], EPOCH [49/100], ITER [252/1666] 
LOSS: 0.00062501, TIME: 11525.4s
STEP [80240], EPOCH [49/100], ITER [272/1666] 
LOSS: 0.00046990, TIME: 11528.3s
STEP [80260], EPOCH [49/100], ITER [292/1666] 
LOSS: 0.00058478, TIME: 11531.1s
STEP [80280], EPOCH [49/100], ITER [312/1666] 
LOSS: 0.00074499, TIME: 11534.0s
STEP [80300], EPOCH [49/100], ITER [332/1666] 
LOSS: 0.00030237, TIME: 11536.9s
STEP [80320], EPOCH [49/100], ITER [352/1666] 
LOSS: 0.00045370, TIME: 11539.7s
STEP [80340], EPOCH [49/100], ITER [372/1666] 
LOSS: 0.00043874, TIME: 11542.6s
STEP [80360], EPOCH [49/100], ITER [392/1666] 
LOSS: 0.00046147, TIME: 11545.4s
STEP [80380], EPOCH [49/100], ITER [412/1666] 
LOSS: 0.00048373, TIME: 11548.3s
STEP [80400], EPOCH [49/100], ITER [432/1666] 
LOSS: 0.00070732, TIME: 11551.1s
STEP [80420], EPOCH [49/100], ITER [452/1666] 
LOSS: 0.00083688, TIME: 11554.0s
STEP [80440], EPOCH [49/100], ITER [472/1666] 
LOSS: 0.00037827, TIME: 11556.8s
STEP [80460], EPOCH [49/100], ITER [492/1666] 
LOSS: 0.00065066, TIME: 11559.7s
STEP [80480], EPOCH [49/100], ITER [512/1666] 
LOSS: 0.00046896, TIME: 11562.6s
STEP [80500], EPOCH [49/100], ITER [532/1666] 
LOSS: 0.00060225, TIME: 11565.4s
STEP [80520], EPOCH [49/100], ITER [552/1666] 
LOSS: 0.00036120, TIME: 11568.3s
STEP [80540], EPOCH [49/100], ITER [572/1666] 
LOSS: 0.00042097, TIME: 11571.1s
STEP [80560], EPOCH [49/100], ITER [592/1666] 
LOSS: 0.00070157, TIME: 11574.0s
STEP [80580], EPOCH [49/100], ITER [612/1666] 
LOSS: 0.00052061, TIME: 11576.8s
STEP [80600], EPOCH [49/100], ITER [632/1666] 
LOSS: 0.00128719, TIME: 11579.7s
STEP [80620], EPOCH [49/100], ITER [652/1666] 
LOSS: 0.00044509, TIME: 11582.5s
STEP [80640], EPOCH [49/100], ITER [672/1666] 
LOSS: 0.00076149, TIME: 11585.4s
STEP [80660], EPOCH [49/100], ITER [692/1666] 
LOSS: 0.00064325, TIME: 11588.3s
STEP [80680], EPOCH [49/100], ITER [712/1666] 
LOSS: 0.00073439, TIME: 11591.1s
STEP [80700], EPOCH [49/100], ITER [732/1666] 
LOSS: 0.00076063, TIME: 11594.0s
STEP [80720], EPOCH [49/100], ITER [752/1666] 
LOSS: 0.00046836, TIME: 11596.8s
STEP [80740], EPOCH [49/100], ITER [772/1666] 
LOSS: 0.00058912, TIME: 11599.7s
STEP [80760], EPOCH [49/100], ITER [792/1666] 
LOSS: 0.00051668, TIME: 11602.5s
STEP [80780], EPOCH [49/100], ITER [812/1666] 
LOSS: 0.00063349, TIME: 11605.4s
STEP [80800], EPOCH [49/100], ITER [832/1666] 
LOSS: 0.00045376, TIME: 11608.2s
STEP [80820], EPOCH [49/100], ITER [852/1666] 
LOSS: 0.00055755, TIME: 11611.1s
STEP [80840], EPOCH [49/100], ITER [872/1666] 
LOSS: 0.00051433, TIME: 11613.9s
STEP [80860], EPOCH [49/100], ITER [892/1666] 
LOSS: 0.00145494, TIME: 11616.8s
STEP [80880], EPOCH [49/100], ITER [912/1666] 
LOSS: 0.00091778, TIME: 11619.7s
STEP [80900], EPOCH [49/100], ITER [932/1666] 
LOSS: 0.00070488, TIME: 11622.5s
STEP [80920], EPOCH [49/100], ITER [952/1666] 
LOSS: 0.00040797, TIME: 11625.4s
STEP [80940], EPOCH [49/100], ITER [972/1666] 
LOSS: 0.00081469, TIME: 11628.2s
STEP [80960], EPOCH [49/100], ITER [992/1666] 
LOSS: 0.00048471, TIME: 11631.1s
STEP [80980], EPOCH [49/100], ITER [1012/1666] 
LOSS: 0.00040286, TIME: 11633.9s
STEP [81000], EPOCH [49/100], ITER [1032/1666] 
LOSS: 0.00060237, TIME: 11636.8s
STEP [81020], EPOCH [49/100], ITER [1052/1666] 
LOSS: 0.00063832, TIME: 11639.7s
STEP [81040], EPOCH [49/100], ITER [1072/1666] 
LOSS: 0.00057028, TIME: 11642.6s
STEP [81060], EPOCH [49/100], ITER [1092/1666] 
LOSS: 0.00045985, TIME: 11645.4s
STEP [81080], EPOCH [49/100], ITER [1112/1666] 
LOSS: 0.00036134, TIME: 11648.3s
STEP [81100], EPOCH [49/100], ITER [1132/1666] 
LOSS: 0.00068822, TIME: 11651.1s
STEP [81120], EPOCH [49/100], ITER [1152/1666] 
LOSS: 0.00052221, TIME: 11654.0s
STEP [81140], EPOCH [49/100], ITER [1172/1666] 
LOSS: 0.00068278, TIME: 11656.8s
STEP [81160], EPOCH [49/100], ITER [1192/1666] 
LOSS: 0.00042729, TIME: 11659.7s
STEP [81180], EPOCH [49/100], ITER [1212/1666] 
LOSS: 0.00070128, TIME: 11662.5s
STEP [81200], EPOCH [49/100], ITER [1232/1666] 
LOSS: 0.00050499, TIME: 11665.4s
STEP [81220], EPOCH [49/100], ITER [1252/1666] 
LOSS: 0.00065755, TIME: 11668.2s
STEP [81240], EPOCH [49/100], ITER [1272/1666] 
LOSS: 0.00061579, TIME: 11671.1s
STEP [81260], EPOCH [49/100], ITER [1292/1666] 
LOSS: 0.00047620, TIME: 11673.9s
STEP [81280], EPOCH [49/100], ITER [1312/1666] 
LOSS: 0.00048070, TIME: 11676.8s
STEP [81300], EPOCH [49/100], ITER [1332/1666] 
LOSS: 0.00047487, TIME: 11679.6s
STEP [81320], EPOCH [49/100], ITER [1352/1666] 
LOSS: 0.00079900, TIME: 11682.5s
STEP [81340], EPOCH [49/100], ITER [1372/1666] 
LOSS: 0.00043134, TIME: 11685.3s
STEP [81360], EPOCH [49/100], ITER [1392/1666] 
LOSS: 0.00055994, TIME: 11688.2s
STEP [81380], EPOCH [49/100], ITER [1412/1666] 
LOSS: 0.00067266, TIME: 11691.0s
STEP [81400], EPOCH [49/100], ITER [1432/1666] 
LOSS: 0.00049761, TIME: 11693.9s
STEP [81420], EPOCH [49/100], ITER [1452/1666] 
LOSS: 0.00057599, TIME: 11696.7s
STEP [81440], EPOCH [49/100], ITER [1472/1666] 
LOSS: 0.00053228, TIME: 11699.6s
STEP [81460], EPOCH [49/100], ITER [1492/1666] 
LOSS: 0.00047272, TIME: 11702.5s
STEP [81480], EPOCH [49/100], ITER [1512/1666] 
LOSS: 0.00049225, TIME: 11705.3s
STEP [81500], EPOCH [49/100], ITER [1532/1666] 
LOSS: 0.00031996, TIME: 11708.2s
STEP [81520], EPOCH [49/100], ITER [1552/1666] 
LOSS: 0.00086029, TIME: 11711.0s
STEP [81540], EPOCH [49/100], ITER [1572/1666] 
LOSS: 0.00056324, TIME: 11713.9s
STEP [81560], EPOCH [49/100], ITER [1592/1666] 
LOSS: 0.00062521, TIME: 11716.7s
STEP [81580], EPOCH [49/100], ITER [1612/1666] 
LOSS: 0.00053608, TIME: 11719.6s
STEP [81600], EPOCH [49/100], ITER [1632/1666] 
LOSS: 0.00057073, TIME: 11722.4s
STEP [81620], EPOCH [49/100], ITER [1652/1666] 
LOSS: 0.00068749, TIME: 11725.3s
STEP [81640], EPOCH [50/100], ITER [6/1666] 
LOSS: 0.00071557, TIME: 11729.5s
STEP [81660], EPOCH [50/100], ITER [26/1666] 
LOSS: 0.00086241, TIME: 11732.4s
STEP [81680], EPOCH [50/100], ITER [46/1666] 
LOSS: 0.00050302, TIME: 11735.2s
STEP [81700], EPOCH [50/100], ITER [66/1666] 
LOSS: 0.00056397, TIME: 11738.1s
STEP [81720], EPOCH [50/100], ITER [86/1666] 
LOSS: 0.00066265, TIME: 11740.9s
STEP [81740], EPOCH [50/100], ITER [106/1666] 
LOSS: 0.00076065, TIME: 11743.8s
STEP [81760], EPOCH [50/100], ITER [126/1666] 
LOSS: 0.00062178, TIME: 11746.6s
STEP [81780], EPOCH [50/100], ITER [146/1666] 
LOSS: 0.00057620, TIME: 11749.5s
STEP [81800], EPOCH [50/100], ITER [166/1666] 
LOSS: 0.00117700, TIME: 11752.4s
STEP [81820], EPOCH [50/100], ITER [186/1666] 
LOSS: 0.00087450, TIME: 11755.2s
STEP [81840], EPOCH [50/100], ITER [206/1666] 
LOSS: 0.00053128, TIME: 11758.1s
STEP [81860], EPOCH [50/100], ITER [226/1666] 
LOSS: 0.00063357, TIME: 11760.9s
STEP [81880], EPOCH [50/100], ITER [246/1666] 
LOSS: 0.00064480, TIME: 11763.8s
STEP [81900], EPOCH [50/100], ITER [266/1666] 
LOSS: 0.00116331, TIME: 11766.6s
STEP [81920], EPOCH [50/100], ITER [286/1666] 
LOSS: 0.00091958, TIME: 11769.5s
STEP [81940], EPOCH [50/100], ITER [306/1666] 
LOSS: 0.00086819, TIME: 11772.3s
STEP [81960], EPOCH [50/100], ITER [326/1666] 
LOSS: 0.00106440, TIME: 11775.2s
STEP [81980], EPOCH [50/100], ITER [346/1666] 
LOSS: 0.00060708, TIME: 11778.0s
STEP [82000], EPOCH [50/100], ITER [366/1666] 
LOSS: 0.00046270, TIME: 11780.9s
STEP [82020], EPOCH [50/100], ITER [386/1666] 
LOSS: 0.00053831, TIME: 11783.8s
STEP [82040], EPOCH [50/100], ITER [406/1666] 
LOSS: 0.00034105, TIME: 11786.7s
STEP [82060], EPOCH [50/100], ITER [426/1666] 
LOSS: 0.00068688, TIME: 11789.5s
STEP [82080], EPOCH [50/100], ITER [446/1666] 
LOSS: 0.00081480, TIME: 11792.4s
STEP [82100], EPOCH [50/100], ITER [466/1666] 
LOSS: 0.00047276, TIME: 11795.2s
STEP [82120], EPOCH [50/100], ITER [486/1666] 
LOSS: 0.00056312, TIME: 11798.1s
STEP [82140], EPOCH [50/100], ITER [506/1666] 
LOSS: 0.00068344, TIME: 11800.9s
STEP [82160], EPOCH [50/100], ITER [526/1666] 
LOSS: 0.00067224, TIME: 11803.8s
STEP [82180], EPOCH [50/100], ITER [546/1666] 
LOSS: 0.00031835, TIME: 11806.6s
STEP [82200], EPOCH [50/100], ITER [566/1666] 
LOSS: 0.00041359, TIME: 11809.5s
STEP [82220], EPOCH [50/100], ITER [586/1666] 
LOSS: 0.00070640, TIME: 11812.4s
STEP [82240], EPOCH [50/100], ITER [606/1666] 
LOSS: 0.00040549, TIME: 11815.2s
STEP [82260], EPOCH [50/100], ITER [626/1666] 
LOSS: 0.00041156, TIME: 11818.1s
STEP [82280], EPOCH [50/100], ITER [646/1666] 
LOSS: 0.00074035, TIME: 11820.9s
STEP [82300], EPOCH [50/100], ITER [666/1666] 
LOSS: 0.00069104, TIME: 11823.8s
STEP [82320], EPOCH [50/100], ITER [686/1666] 
LOSS: 0.00109475, TIME: 11826.6s
STEP [82340], EPOCH [50/100], ITER [706/1666] 
LOSS: 0.00049355, TIME: 11829.5s
STEP [82360], EPOCH [50/100], ITER [726/1666] 
LOSS: 0.00047714, TIME: 11832.3s
STEP [82380], EPOCH [50/100], ITER [746/1666] 
LOSS: 0.00087539, TIME: 11835.2s
STEP [82400], EPOCH [50/100], ITER [766/1666] 
LOSS: 0.00051885, TIME: 11838.0s
STEP [82420], EPOCH [50/100], ITER [786/1666] 
LOSS: 0.00049865, TIME: 11840.9s
STEP [82440], EPOCH [50/100], ITER [806/1666] 
LOSS: 0.00097727, TIME: 11843.7s
STEP [82460], EPOCH [50/100], ITER [826/1666] 
LOSS: 0.00073571, TIME: 11846.6s
STEP [82480], EPOCH [50/100], ITER [846/1666] 
LOSS: 0.00034926, TIME: 11849.4s
STEP [82500], EPOCH [50/100], ITER [866/1666] 
LOSS: 0.00077287, TIME: 11852.3s
STEP [82520], EPOCH [50/100], ITER [886/1666] 
LOSS: 0.00076986, TIME: 11855.2s
STEP [82540], EPOCH [50/100], ITER [906/1666] 
LOSS: 0.00040313, TIME: 11858.0s
STEP [82560], EPOCH [50/100], ITER [926/1666] 
LOSS: 0.00056679, TIME: 11860.9s
STEP [82580], EPOCH [50/100], ITER [946/1666] 
LOSS: 0.00047141, TIME: 11863.7s
STEP [82600], EPOCH [50/100], ITER [966/1666] 
LOSS: 0.00056555, TIME: 11866.6s
STEP [82620], EPOCH [50/100], ITER [986/1666] 
LOSS: 0.00040531, TIME: 11869.4s
STEP [82640], EPOCH [50/100], ITER [1006/1666] 
LOSS: 0.00067602, TIME: 11872.3s
STEP [82660], EPOCH [50/100], ITER [1026/1666] 
LOSS: 0.00072111, TIME: 11875.1s
STEP [82680], EPOCH [50/100], ITER [1046/1666] 
LOSS: 0.00064910, TIME: 11878.0s
STEP [82700], EPOCH [50/100], ITER [1066/1666] 
LOSS: 0.00177409, TIME: 11880.8s
STEP [82720], EPOCH [50/100], ITER [1086/1666] 
LOSS: 0.00086816, TIME: 11883.7s
STEP [82740], EPOCH [50/100], ITER [1106/1666] 
LOSS: 0.00084081, TIME: 11886.5s
STEP [82760], EPOCH [50/100], ITER [1126/1666] 
LOSS: 0.00051516, TIME: 11889.4s
STEP [82780], EPOCH [50/100], ITER [1146/1666] 
LOSS: 0.00045997, TIME: 11892.3s
STEP [82800], EPOCH [50/100], ITER [1166/1666] 
LOSS: 0.00053003, TIME: 11895.1s
STEP [82820], EPOCH [50/100], ITER [1186/1666] 
LOSS: 0.00056239, TIME: 11898.0s
STEP [82840], EPOCH [50/100], ITER [1206/1666] 
LOSS: 0.00084728, TIME: 11900.8s
STEP [82860], EPOCH [50/100], ITER [1226/1666] 
LOSS: 0.00060730, TIME: 11903.7s
STEP [82880], EPOCH [50/100], ITER [1246/1666] 
LOSS: 0.00061691, TIME: 11906.5s
STEP [82900], EPOCH [50/100], ITER [1266/1666] 
LOSS: 0.00052233, TIME: 11909.4s
STEP [82920], EPOCH [50/100], ITER [1286/1666] 
LOSS: 0.00041220, TIME: 11912.2s
STEP [82940], EPOCH [50/100], ITER [1306/1666] 
LOSS: 0.00060693, TIME: 11915.1s
STEP [82960], EPOCH [50/100], ITER [1326/1666] 
LOSS: 0.00059047, TIME: 11917.9s
STEP [82980], EPOCH [50/100], ITER [1346/1666] 
LOSS: 0.00059130, TIME: 11920.8s
STEP [83000], EPOCH [50/100], ITER [1366/1666] 
LOSS: 0.00055895, TIME: 11923.7s
STEP [83020], EPOCH [50/100], ITER [1386/1666] 
LOSS: 0.00030466, TIME: 11926.6s
STEP [83040], EPOCH [50/100], ITER [1406/1666] 
LOSS: 0.00096283, TIME: 11929.4s
STEP [83060], EPOCH [50/100], ITER [1426/1666] 
LOSS: 0.00049729, TIME: 11932.3s
STEP [83080], EPOCH [50/100], ITER [1446/1666] 
LOSS: 0.00063769, TIME: 11935.2s
STEP [83100], EPOCH [50/100], ITER [1466/1666] 
LOSS: 0.00071974, TIME: 11938.0s
STEP [83120], EPOCH [50/100], ITER [1486/1666] 
LOSS: 0.00048623, TIME: 11940.9s
STEP [83140], EPOCH [50/100], ITER [1506/1666] 
LOSS: 0.00048308, TIME: 11943.7s
STEP [83160], EPOCH [50/100], ITER [1526/1666] 
LOSS: 0.00060261, TIME: 11946.6s
STEP [83180], EPOCH [50/100], ITER [1546/1666] 
LOSS: 0.00063776, TIME: 11949.4s
STEP [83200], EPOCH [50/100], ITER [1566/1666] 
LOSS: 0.00060222, TIME: 11952.3s
STEP [83220], EPOCH [50/100], ITER [1586/1666] 
LOSS: 0.00055912, TIME: 11955.1s
STEP [83240], EPOCH [50/100], ITER [1606/1666] 
LOSS: 0.00092385, TIME: 11958.0s
STEP [83260], EPOCH [50/100], ITER [1626/1666] 
LOSS: 0.00074744, TIME: 11960.8s
STEP [83280], EPOCH [50/100], ITER [1646/1666] 
LOSS: 0.00046959, TIME: 11963.7s
STEP [83300], EPOCH [50/100], ITER [1666/1666] 
LOSS: 0.00056238, TIME: 11966.5s
STEP [83320], EPOCH [51/100], ITER [20/1666] 
LOSS: 0.00050846, TIME: 11970.8s
STEP [83340], EPOCH [51/100], ITER [40/1666] 
LOSS: 0.00078262, TIME: 11973.6s
STEP [83360], EPOCH [51/100], ITER [60/1666] 
LOSS: 0.00071903, TIME: 11976.5s
STEP [83380], EPOCH [51/100], ITER [80/1666] 
LOSS: 0.00042918, TIME: 11979.4s
STEP [83400], EPOCH [51/100], ITER [100/1666] 
LOSS: 0.00069713, TIME: 11982.2s
STEP [83420], EPOCH [51/100], ITER [120/1666] 
LOSS: 0.00054337, TIME: 11985.1s
STEP [83440], EPOCH [51/100], ITER [140/1666] 
LOSS: 0.00078998, TIME: 11987.9s
STEP [83460], EPOCH [51/100], ITER [160/1666] 
LOSS: 0.00081317, TIME: 11990.8s
STEP [83480], EPOCH [51/100], ITER [180/1666] 
LOSS: 0.00081146, TIME: 11993.6s
STEP [83500], EPOCH [51/100], ITER [200/1666] 
LOSS: 0.00053943, TIME: 11996.5s
STEP [83520], EPOCH [51/100], ITER [220/1666] 
LOSS: 0.00068658, TIME: 11999.3s
STEP [83540], EPOCH [51/100], ITER [240/1666] 
LOSS: 0.00070707, TIME: 12002.2s
STEP [83560], EPOCH [51/100], ITER [260/1666] 
LOSS: 0.00075741, TIME: 12005.0s
STEP [83580], EPOCH [51/100], ITER [280/1666] 
LOSS: 0.00050524, TIME: 12007.9s
STEP [83600], EPOCH [51/100], ITER [300/1666] 
LOSS: 0.00064168, TIME: 12010.7s
STEP [83620], EPOCH [51/100], ITER [320/1666] 
LOSS: 0.00050986, TIME: 12013.6s
STEP [83640], EPOCH [51/100], ITER [340/1666] 
LOSS: 0.00077296, TIME: 12016.4s
STEP [83660], EPOCH [51/100], ITER [360/1666] 
LOSS: 0.00042795, TIME: 12019.3s
STEP [83680], EPOCH [51/100], ITER [380/1666] 
LOSS: 0.00068074, TIME: 12022.1s
STEP [83700], EPOCH [51/100], ITER [400/1666] 
LOSS: 0.00061942, TIME: 12025.0s
STEP [83720], EPOCH [51/100], ITER [420/1666] 
LOSS: 0.00049509, TIME: 12027.9s
STEP [83740], EPOCH [51/100], ITER [440/1666] 
LOSS: 0.00054202, TIME: 12030.7s
STEP [83760], EPOCH [51/100], ITER [460/1666] 
LOSS: 0.00097487, TIME: 12033.6s
STEP [83780], EPOCH [51/100], ITER [480/1666] 
LOSS: 0.00070993, TIME: 12036.4s
STEP [83800], EPOCH [51/100], ITER [500/1666] 
LOSS: 0.00052096, TIME: 12039.3s
STEP [83820], EPOCH [51/100], ITER [520/1666] 
LOSS: 0.00049474, TIME: 12042.1s
STEP [83840], EPOCH [51/100], ITER [540/1666] 
LOSS: 0.00076937, TIME: 12045.0s
STEP [83860], EPOCH [51/100], ITER [560/1666] 
LOSS: 0.00071522, TIME: 12047.8s
STEP [83880], EPOCH [51/100], ITER [580/1666] 
LOSS: 0.00059430, TIME: 12050.7s
STEP [83900], EPOCH [51/100], ITER [600/1666] 
LOSS: 0.00066553, TIME: 12053.5s
STEP [83920], EPOCH [51/100], ITER [620/1666] 
LOSS: 0.00042061, TIME: 12056.4s
STEP [83940], EPOCH [51/100], ITER [640/1666] 
LOSS: 0.00056534, TIME: 12059.3s
STEP [83960], EPOCH [51/100], ITER [660/1666] 
LOSS: 0.00042552, TIME: 12062.1s
STEP [83980], EPOCH [51/100], ITER [680/1666] 
LOSS: 0.00059429, TIME: 12065.0s
STEP [84000], EPOCH [51/100], ITER [700/1666] 
LOSS: 0.00069695, TIME: 12067.8s
STEP [84020], EPOCH [51/100], ITER [720/1666] 
LOSS: 0.00063636, TIME: 12070.7s
STEP [84040], EPOCH [51/100], ITER [740/1666] 
LOSS: 0.00060268, TIME: 12073.6s
STEP [84060], EPOCH [51/100], ITER [760/1666] 
LOSS: 0.00070422, TIME: 12076.4s
STEP [84080], EPOCH [51/100], ITER [780/1666] 
LOSS: 0.00066944, TIME: 12079.3s
STEP [84100], EPOCH [51/100], ITER [800/1666] 
LOSS: 0.00046749, TIME: 12082.2s
STEP [84120], EPOCH [51/100], ITER [820/1666] 
LOSS: 0.00074673, TIME: 12085.0s
STEP [84140], EPOCH [51/100], ITER [840/1666] 
LOSS: 0.00043578, TIME: 12087.9s
STEP [84160], EPOCH [51/100], ITER [860/1666] 
LOSS: 0.00096281, TIME: 12090.7s
STEP [84180], EPOCH [51/100], ITER [880/1666] 
LOSS: 0.00043237, TIME: 12093.6s
STEP [84200], EPOCH [51/100], ITER [900/1666] 
LOSS: 0.00070969, TIME: 12096.4s
STEP [84220], EPOCH [51/100], ITER [920/1666] 
LOSS: 0.00062496, TIME: 12099.3s
STEP [84240], EPOCH [51/100], ITER [940/1666] 
LOSS: 0.00045048, TIME: 12102.1s
STEP [84260], EPOCH [51/100], ITER [960/1666] 
LOSS: 0.00066785, TIME: 12105.0s
STEP [84280], EPOCH [51/100], ITER [980/1666] 
LOSS: 0.00075425, TIME: 12107.8s
STEP [84300], EPOCH [51/100], ITER [1000/1666] 
LOSS: 0.00068831, TIME: 12110.7s
STEP [84320], EPOCH [51/100], ITER [1020/1666] 
LOSS: 0.00098031, TIME: 12113.5s
STEP [84340], EPOCH [51/100], ITER [1040/1666] 
LOSS: 0.00071726, TIME: 12116.4s
STEP [84360], EPOCH [51/100], ITER [1060/1666] 
LOSS: 0.00074207, TIME: 12119.2s
STEP [84380], EPOCH [51/100], ITER [1080/1666] 
LOSS: 0.00037936, TIME: 12122.1s
STEP [84400], EPOCH [51/100], ITER [1100/1666] 
LOSS: 0.00045356, TIME: 12125.0s
STEP [84420], EPOCH [51/100], ITER [1120/1666] 
LOSS: 0.00045307, TIME: 12127.8s
STEP [84440], EPOCH [51/100], ITER [1140/1666] 
LOSS: 0.00043724, TIME: 12130.7s
STEP [84460], EPOCH [51/100], ITER [1160/1666] 
LOSS: 0.00072839, TIME: 12133.5s
STEP [84480], EPOCH [51/100], ITER [1180/1666] 
LOSS: 0.00034214, TIME: 12136.4s
STEP [84500], EPOCH [51/100], ITER [1200/1666] 
LOSS: 0.00071548, TIME: 12139.2s
STEP [84520], EPOCH [51/100], ITER [1220/1666] 
LOSS: 0.00071853, TIME: 12142.1s
STEP [84540], EPOCH [51/100], ITER [1240/1666] 
LOSS: 0.00067790, TIME: 12144.9s
STEP [84560], EPOCH [51/100], ITER [1260/1666] 
LOSS: 0.00066025, TIME: 12147.8s
STEP [84580], EPOCH [51/100], ITER [1280/1666] 
LOSS: 0.00060740, TIME: 12150.6s
STEP [84600], EPOCH [51/100], ITER [1300/1666] 
LOSS: 0.00053596, TIME: 12153.5s
STEP [84620], EPOCH [51/100], ITER [1320/1666] 
LOSS: 0.00091025, TIME: 12156.3s
STEP [84640], EPOCH [51/100], ITER [1340/1666] 
LOSS: 0.00052019, TIME: 12159.2s
STEP [84660], EPOCH [51/100], ITER [1360/1666] 
LOSS: 0.00076177, TIME: 12162.0s
STEP [84680], EPOCH [51/100], ITER [1380/1666] 
LOSS: 0.00057771, TIME: 12164.9s
STEP [84700], EPOCH [51/100], ITER [1400/1666] 
LOSS: 0.00034751, TIME: 12167.8s
STEP [84720], EPOCH [51/100], ITER [1420/1666] 
LOSS: 0.00049850, TIME: 12170.6s
STEP [84740], EPOCH [51/100], ITER [1440/1666] 
LOSS: 0.00110193, TIME: 12173.5s
STEP [84760], EPOCH [51/100], ITER [1460/1666] 
LOSS: 0.00082462, TIME: 12176.3s
STEP [84780], EPOCH [51/100], ITER [1480/1666] 
LOSS: 0.00065007, TIME: 12179.2s
STEP [84800], EPOCH [51/100], ITER [1500/1666] 
LOSS: 0.00041449, TIME: 12182.0s
STEP [84820], EPOCH [51/100], ITER [1520/1666] 
LOSS: 0.00065268, TIME: 12184.9s
STEP [84840], EPOCH [51/100], ITER [1540/1666] 
LOSS: 0.00044808, TIME: 12187.7s
STEP [84860], EPOCH [51/100], ITER [1560/1666] 
LOSS: 0.00043489, TIME: 12190.6s
STEP [84880], EPOCH [51/100], ITER [1580/1666] 
LOSS: 0.00070109, TIME: 12193.4s
STEP [84900], EPOCH [51/100], ITER [1600/1666] 
LOSS: 0.00049362, TIME: 12196.3s
STEP [84920], EPOCH [51/100], ITER [1620/1666] 
LOSS: 0.00031185, TIME: 12199.1s
STEP [84940], EPOCH [51/100], ITER [1640/1666] 
LOSS: 0.00094390, TIME: 12202.0s
STEP [84960], EPOCH [51/100], ITER [1660/1666] 
LOSS: 0.00045965, TIME: 12204.8s
STEP [84980], EPOCH [52/100], ITER [14/1666] 
LOSS: 0.00045102, TIME: 12209.1s
STEP [85000], EPOCH [52/100], ITER [34/1666] 
LOSS: 0.00039331, TIME: 12212.0s
STEP [85020], EPOCH [52/100], ITER [54/1666] 
LOSS: 0.00059674, TIME: 12214.9s
STEP [85040], EPOCH [52/100], ITER [74/1666] 
LOSS: 0.00104853, TIME: 12217.7s
STEP [85060], EPOCH [52/100], ITER [94/1666] 
LOSS: 0.00052955, TIME: 12220.6s
STEP [85080], EPOCH [52/100], ITER [114/1666] 
LOSS: 0.00049589, TIME: 12223.5s
STEP [85100], EPOCH [52/100], ITER [134/1666] 
LOSS: 0.00069172, TIME: 12226.3s
STEP [85120], EPOCH [52/100], ITER [154/1666] 
LOSS: 0.00060712, TIME: 12229.2s
STEP [85140], EPOCH [52/100], ITER [174/1666] 
LOSS: 0.00069778, TIME: 12232.0s
STEP [85160], EPOCH [52/100], ITER [194/1666] 
LOSS: 0.00056590, TIME: 12234.9s
STEP [85180], EPOCH [52/100], ITER [214/1666] 
LOSS: 0.00070687, TIME: 12237.7s
STEP [85200], EPOCH [52/100], ITER [234/1666] 
LOSS: 0.00045262, TIME: 12240.6s
STEP [85220], EPOCH [52/100], ITER [254/1666] 
LOSS: 0.00072502, TIME: 12243.4s
STEP [85240], EPOCH [52/100], ITER [274/1666] 
LOSS: 0.00039929, TIME: 12246.3s
STEP [85260], EPOCH [52/100], ITER [294/1666] 
LOSS: 0.00057104, TIME: 12249.1s
STEP [85280], EPOCH [52/100], ITER [314/1666] 
LOSS: 0.00087263, TIME: 12252.0s
STEP [85300], EPOCH [52/100], ITER [334/1666] 
LOSS: 0.00071147, TIME: 12254.8s
STEP [85320], EPOCH [52/100], ITER [354/1666] 
LOSS: 0.00073287, TIME: 12257.7s
STEP [85340], EPOCH [52/100], ITER [374/1666] 
LOSS: 0.00051820, TIME: 12260.5s
STEP [85360], EPOCH [52/100], ITER [394/1666] 
LOSS: 0.00055750, TIME: 12263.4s
STEP [85380], EPOCH [52/100], ITER [414/1666] 
LOSS: 0.00079000, TIME: 12266.2s
STEP [85400], EPOCH [52/100], ITER [434/1666] 
LOSS: 0.00093151, TIME: 12269.1s
STEP [85420], EPOCH [52/100], ITER [454/1666] 
LOSS: 0.00034009, TIME: 12271.9s
STEP [85440], EPOCH [52/100], ITER [474/1666] 
LOSS: 0.00146975, TIME: 12274.8s
STEP [85460], EPOCH [52/100], ITER [494/1666] 
LOSS: 0.00050348, TIME: 12277.7s
STEP [85480], EPOCH [52/100], ITER [514/1666] 
LOSS: 0.00034246, TIME: 12280.5s
STEP [85500], EPOCH [52/100], ITER [534/1666] 
LOSS: 0.00054583, TIME: 12283.4s
STEP [85520], EPOCH [52/100], ITER [554/1666] 
LOSS: 0.00053459, TIME: 12286.2s
STEP [85540], EPOCH [52/100], ITER [574/1666] 
LOSS: 0.00049467, TIME: 12289.1s
STEP [85560], EPOCH [52/100], ITER [594/1666] 
LOSS: 0.00040168, TIME: 12291.9s
STEP [85580], EPOCH [52/100], ITER [614/1666] 
LOSS: 0.00047809, TIME: 12294.8s
STEP [85600], EPOCH [52/100], ITER [634/1666] 
LOSS: 0.00039340, TIME: 12297.6s
STEP [85620], EPOCH [52/100], ITER [654/1666] 
LOSS: 0.00059243, TIME: 12300.5s
STEP [85640], EPOCH [52/100], ITER [674/1666] 
LOSS: 0.00054794, TIME: 12303.3s
STEP [85660], EPOCH [52/100], ITER [694/1666] 
LOSS: 0.00058650, TIME: 12306.2s
STEP [85680], EPOCH [52/100], ITER [714/1666] 
LOSS: 0.00064485, TIME: 12309.0s
STEP [85700], EPOCH [52/100], ITER [734/1666] 
LOSS: 0.00065043, TIME: 12311.9s
STEP [85720], EPOCH [52/100], ITER [754/1666] 
LOSS: 0.00051181, TIME: 12314.7s
STEP [85740], EPOCH [52/100], ITER [774/1666] 
LOSS: 0.00066808, TIME: 12317.6s
STEP [85760], EPOCH [52/100], ITER [794/1666] 
LOSS: 0.00044707, TIME: 12320.4s
STEP [85780], EPOCH [52/100], ITER [814/1666] 
LOSS: 0.00050608, TIME: 12323.3s
STEP [85800], EPOCH [52/100], ITER [834/1666] 
LOSS: 0.00064664, TIME: 12326.2s
STEP [85820], EPOCH [52/100], ITER [854/1666] 
LOSS: 0.00053219, TIME: 12329.0s
STEP [85840], EPOCH [52/100], ITER [874/1666] 
LOSS: 0.00096208, TIME: 12331.9s
STEP [85860], EPOCH [52/100], ITER [894/1666] 
LOSS: 0.00062793, TIME: 12334.7s
STEP [85880], EPOCH [52/100], ITER [914/1666] 
LOSS: 0.00067243, TIME: 12337.6s
STEP [85900], EPOCH [52/100], ITER [934/1666] 
LOSS: 0.00082118, TIME: 12340.4s
STEP [85920], EPOCH [52/100], ITER [954/1666] 
LOSS: 0.00044634, TIME: 12343.3s
STEP [85940], EPOCH [52/100], ITER [974/1666] 
LOSS: 0.00047371, TIME: 12346.1s
STEP [85960], EPOCH [52/100], ITER [994/1666] 
LOSS: 0.00062096, TIME: 12349.0s
STEP [85980], EPOCH [52/100], ITER [1014/1666] 
LOSS: 0.00067421, TIME: 12351.8s
STEP [86000], EPOCH [52/100], ITER [1034/1666] 
LOSS: 0.00104285, TIME: 12354.7s
STEP [86020], EPOCH [52/100], ITER [1054/1666] 
LOSS: 0.00059455, TIME: 12357.6s
STEP [86040], EPOCH [52/100], ITER [1074/1666] 
LOSS: 0.00046348, TIME: 12360.5s
STEP [86060], EPOCH [52/100], ITER [1094/1666] 
LOSS: 0.00054323, TIME: 12363.3s
STEP [86080], EPOCH [52/100], ITER [1114/1666] 
LOSS: 0.00048662, TIME: 12366.2s
STEP [86100], EPOCH [52/100], ITER [1134/1666] 
LOSS: 0.00062901, TIME: 12369.0s
STEP [86120], EPOCH [52/100], ITER [1154/1666] 
LOSS: 0.00062314, TIME: 12371.9s
STEP [86140], EPOCH [52/100], ITER [1174/1666] 
LOSS: 0.00047066, TIME: 12374.7s
STEP [86160], EPOCH [52/100], ITER [1194/1666] 
LOSS: 0.00064588, TIME: 12377.6s
STEP [86180], EPOCH [52/100], ITER [1214/1666] 
LOSS: 0.00087105, TIME: 12380.4s
STEP [86200], EPOCH [52/100], ITER [1234/1666] 
LOSS: 0.00045394, TIME: 12383.3s
STEP [86220], EPOCH [52/100], ITER [1254/1666] 
LOSS: 0.00056451, TIME: 12386.1s
STEP [86240], EPOCH [52/100], ITER [1274/1666] 
LOSS: 0.00045099, TIME: 12389.0s
STEP [86260], EPOCH [52/100], ITER [1294/1666] 
LOSS: 0.00048990, TIME: 12391.9s
STEP [86280], EPOCH [52/100], ITER [1314/1666] 
LOSS: 0.00057995, TIME: 12394.7s
STEP [86300], EPOCH [52/100], ITER [1334/1666] 
LOSS: 0.00049590, TIME: 12397.6s
STEP [86320], EPOCH [52/100], ITER [1354/1666] 
LOSS: 0.00053273, TIME: 12400.4s
STEP [86340], EPOCH [52/100], ITER [1374/1666] 
LOSS: 0.00044228, TIME: 12403.3s
STEP [86360], EPOCH [52/100], ITER [1394/1666] 
LOSS: 0.00055509, TIME: 12406.1s
STEP [86380], EPOCH [52/100], ITER [1414/1666] 
LOSS: 0.00040491, TIME: 12409.0s
STEP [86400], EPOCH [52/100], ITER [1434/1666] 
LOSS: 0.00046720, TIME: 12411.8s
STEP [86420], EPOCH [52/100], ITER [1454/1666] 
LOSS: 0.00050788, TIME: 12414.7s
STEP [86440], EPOCH [52/100], ITER [1474/1666] 
LOSS: 0.00078695, TIME: 12417.5s
STEP [86460], EPOCH [52/100], ITER [1494/1666] 
LOSS: 0.00041887, TIME: 12420.4s
STEP [86480], EPOCH [52/100], ITER [1514/1666] 
LOSS: 0.00074009, TIME: 12423.2s
STEP [86500], EPOCH [52/100], ITER [1534/1666] 
LOSS: 0.00045908, TIME: 12426.1s
STEP [86520], EPOCH [52/100], ITER [1554/1666] 
LOSS: 0.00061068, TIME: 12428.9s
STEP [86540], EPOCH [52/100], ITER [1574/1666] 
LOSS: 0.00062214, TIME: 12431.8s
STEP [86560], EPOCH [52/100], ITER [1594/1666] 
LOSS: 0.00060873, TIME: 12434.6s
STEP [86580], EPOCH [52/100], ITER [1614/1666] 
LOSS: 0.00070914, TIME: 12437.5s
STEP [86600], EPOCH [52/100], ITER [1634/1666] 
LOSS: 0.00084436, TIME: 12440.3s
STEP [86620], EPOCH [52/100], ITER [1654/1666] 
LOSS: 0.00065707, TIME: 12443.2s
STEP [86640], EPOCH [53/100], ITER [8/1666] 
LOSS: 0.00047471, TIME: 12447.4s
STEP [86660], EPOCH [53/100], ITER [28/1666] 
LOSS: 0.00074344, TIME: 12450.3s
STEP [86680], EPOCH [53/100], ITER [48/1666] 
LOSS: 0.00049669, TIME: 12453.1s
STEP [86700], EPOCH [53/100], ITER [68/1666] 
LOSS: 0.00038446, TIME: 12456.0s
STEP [86720], EPOCH [53/100], ITER [88/1666] 
LOSS: 0.00062476, TIME: 12458.8s
STEP [86740], EPOCH [53/100], ITER [108/1666] 
LOSS: 0.00037442, TIME: 12461.7s
STEP [86760], EPOCH [53/100], ITER [128/1666] 
LOSS: 0.00036388, TIME: 12464.5s
STEP [86780], EPOCH [53/100], ITER [148/1666] 
LOSS: 0.00051652, TIME: 12467.4s
STEP [86800], EPOCH [53/100], ITER [168/1666] 
LOSS: 0.00065074, TIME: 12470.2s
STEP [86820], EPOCH [53/100], ITER [188/1666] 
LOSS: 0.00047727, TIME: 12473.1s
STEP [86840], EPOCH [53/100], ITER [208/1666] 
LOSS: 0.00079684, TIME: 12475.9s
STEP [86860], EPOCH [53/100], ITER [228/1666] 
LOSS: 0.00094221, TIME: 12478.8s
STEP [86880], EPOCH [53/100], ITER [248/1666] 
LOSS: 0.00054321, TIME: 12481.6s
STEP [86900], EPOCH [53/100], ITER [268/1666] 
LOSS: 0.00065380, TIME: 12484.5s
STEP [86920], EPOCH [53/100], ITER [288/1666] 
LOSS: 0.00043283, TIME: 12487.3s
STEP [86940], EPOCH [53/100], ITER [308/1666] 
LOSS: 0.00057543, TIME: 12490.2s
STEP [86960], EPOCH [53/100], ITER [328/1666] 
LOSS: 0.00048051, TIME: 12493.0s
STEP [86980], EPOCH [53/100], ITER [348/1666] 
LOSS: 0.00039731, TIME: 12495.9s
STEP [87000], EPOCH [53/100], ITER [368/1666] 
LOSS: 0.00049783, TIME: 12498.8s
STEP [87020], EPOCH [53/100], ITER [388/1666] 
LOSS: 0.00048449, TIME: 12501.7s
STEP [87040], EPOCH [53/100], ITER [408/1666] 
LOSS: 0.00089629, TIME: 12504.5s
STEP [87060], EPOCH [53/100], ITER [428/1666] 
LOSS: 0.00070313, TIME: 12507.4s
STEP [87080], EPOCH [53/100], ITER [448/1666] 
LOSS: 0.00057461, TIME: 12510.2s
STEP [87100], EPOCH [53/100], ITER [468/1666] 
LOSS: 0.00041912, TIME: 12513.1s
STEP [87120], EPOCH [53/100], ITER [488/1666] 
LOSS: 0.00071210, TIME: 12516.0s
STEP [87140], EPOCH [53/100], ITER [508/1666] 
LOSS: 0.00063565, TIME: 12518.8s
STEP [87160], EPOCH [53/100], ITER [528/1666] 
LOSS: 0.00062352, TIME: 12521.7s
STEP [87180], EPOCH [53/100], ITER [548/1666] 
LOSS: 0.00061871, TIME: 12524.5s
STEP [87200], EPOCH [53/100], ITER [568/1666] 
LOSS: 0.00085559, TIME: 12527.4s
STEP [87220], EPOCH [53/100], ITER [588/1666] 
LOSS: 0.00054904, TIME: 12530.2s
STEP [87240], EPOCH [53/100], ITER [608/1666] 
LOSS: 0.00052278, TIME: 12533.1s
STEP [87260], EPOCH [53/100], ITER [628/1666] 
LOSS: 0.00050944, TIME: 12535.9s
STEP [87280], EPOCH [53/100], ITER [648/1666] 
LOSS: 0.00068972, TIME: 12538.8s
STEP [87300], EPOCH [53/100], ITER [668/1666] 
LOSS: 0.00068785, TIME: 12541.6s
STEP [87320], EPOCH [53/100], ITER [688/1666] 
LOSS: 0.00040938, TIME: 12544.5s
STEP [87340], EPOCH [53/100], ITER [708/1666] 
LOSS: 0.00038352, TIME: 12547.3s
STEP [87360], EPOCH [53/100], ITER [728/1666] 
LOSS: 0.00124186, TIME: 12550.2s
STEP [87380], EPOCH [53/100], ITER [748/1666] 
LOSS: 0.00070293, TIME: 12553.0s
STEP [87400], EPOCH [53/100], ITER [768/1666] 
LOSS: 0.00053348, TIME: 12555.9s
STEP [87420], EPOCH [53/100], ITER [788/1666] 
LOSS: 0.00053290, TIME: 12558.7s
STEP [87440], EPOCH [53/100], ITER [808/1666] 
LOSS: 0.00073836, TIME: 12561.6s
STEP [87460], EPOCH [53/100], ITER [828/1666] 
LOSS: 0.00047323, TIME: 12564.5s
STEP [87480], EPOCH [53/100], ITER [848/1666] 
LOSS: 0.00046972, TIME: 12567.3s
STEP [87500], EPOCH [53/100], ITER [868/1666] 
LOSS: 0.00052346, TIME: 12570.2s
STEP [87520], EPOCH [53/100], ITER [888/1666] 
LOSS: 0.00062399, TIME: 12573.0s
STEP [87540], EPOCH [53/100], ITER [908/1666] 
LOSS: 0.00044885, TIME: 12575.9s
STEP [87560], EPOCH [53/100], ITER [928/1666] 
LOSS: 0.00061061, TIME: 12578.7s
STEP [87580], EPOCH [53/100], ITER [948/1666] 
LOSS: 0.00069850, TIME: 12581.6s
STEP [87600], EPOCH [53/100], ITER [968/1666] 
LOSS: 0.00068491, TIME: 12584.4s
STEP [87620], EPOCH [53/100], ITER [988/1666] 
LOSS: 0.00048538, TIME: 12587.3s
STEP [87640], EPOCH [53/100], ITER [1008/1666] 
LOSS: 0.00039319, TIME: 12590.1s
STEP [87660], EPOCH [53/100], ITER [1028/1666] 
LOSS: 0.00044994, TIME: 12593.0s
STEP [87680], EPOCH [53/100], ITER [1048/1666] 
LOSS: 0.00041939, TIME: 12595.8s
STEP [87700], EPOCH [53/100], ITER [1068/1666] 
LOSS: 0.00081974, TIME: 12598.7s
STEP [87720], EPOCH [53/100], ITER [1088/1666] 
LOSS: 0.00051281, TIME: 12601.6s
STEP [87740], EPOCH [53/100], ITER [1108/1666] 
LOSS: 0.00082121, TIME: 12604.4s
STEP [87760], EPOCH [53/100], ITER [1128/1666] 
LOSS: 0.00057567, TIME: 12607.3s
STEP [87780], EPOCH [53/100], ITER [1148/1666] 
LOSS: 0.00058283, TIME: 12610.1s
STEP [87800], EPOCH [53/100], ITER [1168/1666] 
LOSS: 0.00063598, TIME: 12613.0s
STEP [87820], EPOCH [53/100], ITER [1188/1666] 
LOSS: 0.00082675, TIME: 12615.8s
STEP [87840], EPOCH [53/100], ITER [1208/1666] 
LOSS: 0.00070408, TIME: 12618.7s
STEP [87860], EPOCH [53/100], ITER [1228/1666] 
LOSS: 0.00068731, TIME: 12621.5s
STEP [87880], EPOCH [53/100], ITER [1248/1666] 
LOSS: 0.00076027, TIME: 12624.4s
STEP [87900], EPOCH [53/100], ITER [1268/1666] 
LOSS: 0.00076632, TIME: 12627.2s
STEP [87920], EPOCH [53/100], ITER [1288/1666] 
LOSS: 0.00087785, TIME: 12630.1s
STEP [87940], EPOCH [53/100], ITER [1308/1666] 
LOSS: 0.00073565, TIME: 12632.9s
STEP [87960], EPOCH [53/100], ITER [1328/1666] 
LOSS: 0.00079559, TIME: 12635.8s
STEP [87980], EPOCH [53/100], ITER [1348/1666] 
LOSS: 0.00058641, TIME: 12638.6s
STEP [88000], EPOCH [53/100], ITER [1368/1666] 
LOSS: 0.00060617, TIME: 12641.5s
STEP [88020], EPOCH [53/100], ITER [1388/1666] 
LOSS: 0.00095261, TIME: 12644.4s
STEP [88040], EPOCH [53/100], ITER [1408/1666] 
LOSS: 0.00046553, TIME: 12647.3s
STEP [88060], EPOCH [53/100], ITER [1428/1666] 
LOSS: 0.00052706, TIME: 12650.1s
STEP [88080], EPOCH [53/100], ITER [1448/1666] 
LOSS: 0.00068667, TIME: 12653.0s
STEP [88100], EPOCH [53/100], ITER [1468/1666] 
LOSS: 0.00062107, TIME: 12655.9s
STEP [88120], EPOCH [53/100], ITER [1488/1666] 
LOSS: 0.00037709, TIME: 12658.7s
STEP [88140], EPOCH [53/100], ITER [1508/1666] 
LOSS: 0.00060098, TIME: 12661.6s
STEP [88160], EPOCH [53/100], ITER [1528/1666] 
LOSS: 0.00079503, TIME: 12664.4s
STEP [88180], EPOCH [53/100], ITER [1548/1666] 
LOSS: 0.00063337, TIME: 12667.3s
STEP [88200], EPOCH [53/100], ITER [1568/1666] 
LOSS: 0.00067307, TIME: 12670.1s
STEP [88220], EPOCH [53/100], ITER [1588/1666] 
LOSS: 0.00048930, TIME: 12673.0s
STEP [88240], EPOCH [53/100], ITER [1608/1666] 
LOSS: 0.00054788, TIME: 12675.8s
STEP [88260], EPOCH [53/100], ITER [1628/1666] 
LOSS: 0.00071075, TIME: 12678.7s
STEP [88280], EPOCH [53/100], ITER [1648/1666] 
LOSS: 0.00057649, TIME: 12681.5s
STEP [88300], EPOCH [54/100], ITER [2/1666] 
LOSS: 0.00040799, TIME: 12685.8s
STEP [88320], EPOCH [54/100], ITER [22/1666] 
LOSS: 0.00038562, TIME: 12688.7s
STEP [88340], EPOCH [54/100], ITER [42/1666] 
LOSS: 0.00028300, TIME: 12691.6s
STEP [88360], EPOCH [54/100], ITER [62/1666] 
LOSS: 0.00055088, TIME: 12694.4s
STEP [88380], EPOCH [54/100], ITER [82/1666] 
LOSS: 0.00064920, TIME: 12697.3s
STEP [88400], EPOCH [54/100], ITER [102/1666] 
LOSS: 0.00047484, TIME: 12700.1s
STEP [88420], EPOCH [54/100], ITER [122/1666] 
LOSS: 0.00058882, TIME: 12703.0s
STEP [88440], EPOCH [54/100], ITER [142/1666] 
LOSS: 0.00059234, TIME: 12705.8s
STEP [88460], EPOCH [54/100], ITER [162/1666] 
LOSS: 0.00052104, TIME: 12708.7s
STEP [88480], EPOCH [54/100], ITER [182/1666] 
LOSS: 0.00043961, TIME: 12711.5s
STEP [88500], EPOCH [54/100], ITER [202/1666] 
LOSS: 0.00087327, TIME: 12714.4s
STEP [88520], EPOCH [54/100], ITER [222/1666] 
LOSS: 0.00067057, TIME: 12717.2s
STEP [88540], EPOCH [54/100], ITER [242/1666] 
LOSS: 0.00047247, TIME: 12720.1s
STEP [88560], EPOCH [54/100], ITER [262/1666] 
LOSS: 0.00055424, TIME: 12723.0s
STEP [88580], EPOCH [54/100], ITER [282/1666] 
LOSS: 0.00128671, TIME: 12725.8s
STEP [88600], EPOCH [54/100], ITER [302/1666] 
LOSS: 0.00055821, TIME: 12728.7s
STEP [88620], EPOCH [54/100], ITER [322/1666] 
LOSS: 0.00054545, TIME: 12731.5s
STEP [88640], EPOCH [54/100], ITER [342/1666] 
LOSS: 0.00042166, TIME: 12734.4s
STEP [88660], EPOCH [54/100], ITER [362/1666] 
LOSS: 0.00044673, TIME: 12737.2s
STEP [88680], EPOCH [54/100], ITER [382/1666] 
LOSS: 0.00055579, TIME: 12740.1s
STEP [88700], EPOCH [54/100], ITER [402/1666] 
LOSS: 0.00043038, TIME: 12742.9s
STEP [88720], EPOCH [54/100], ITER [422/1666] 
LOSS: 0.00076890, TIME: 12745.8s
STEP [88740], EPOCH [54/100], ITER [442/1666] 
LOSS: 0.00067294, TIME: 12748.6s
STEP [88760], EPOCH [54/100], ITER [462/1666] 
LOSS: 0.00090885, TIME: 12751.5s
STEP [88780], EPOCH [54/100], ITER [482/1666] 
LOSS: 0.00065309, TIME: 12754.3s
STEP [88800], EPOCH [54/100], ITER [502/1666] 
LOSS: 0.00072609, TIME: 12757.2s
STEP [88820], EPOCH [54/100], ITER [522/1666] 
LOSS: 0.00040133, TIME: 12760.0s
STEP [88840], EPOCH [54/100], ITER [542/1666] 
LOSS: 0.00066742, TIME: 12762.9s
STEP [88860], EPOCH [54/100], ITER [562/1666] 
LOSS: 0.00099389, TIME: 12765.8s
STEP [88880], EPOCH [54/100], ITER [582/1666] 
LOSS: 0.00058306, TIME: 12768.6s
STEP [88900], EPOCH [54/100], ITER [602/1666] 
LOSS: 0.00045107, TIME: 12771.5s
STEP [88920], EPOCH [54/100], ITER [622/1666] 
LOSS: 0.00054171, TIME: 12774.3s
STEP [88940], EPOCH [54/100], ITER [642/1666] 
LOSS: 0.00058303, TIME: 12777.2s
STEP [88960], EPOCH [54/100], ITER [662/1666] 
LOSS: 0.00040900, TIME: 12780.0s
STEP [88980], EPOCH [54/100], ITER [682/1666] 
LOSS: 0.00049107, TIME: 12782.9s
STEP [89000], EPOCH [54/100], ITER [702/1666] 
LOSS: 0.00073603, TIME: 12785.7s
STEP [89020], EPOCH [54/100], ITER [722/1666] 
LOSS: 0.00043757, TIME: 12788.7s
STEP [89040], EPOCH [54/100], ITER [742/1666] 
LOSS: 0.00071421, TIME: 12791.5s
STEP [89060], EPOCH [54/100], ITER [762/1666] 
LOSS: 0.00029061, TIME: 12794.4s
STEP [89080], EPOCH [54/100], ITER [782/1666] 
LOSS: 0.00078302, TIME: 12797.2s
STEP [89100], EPOCH [54/100], ITER [802/1666] 
LOSS: 0.00063480, TIME: 12800.1s
STEP [89120], EPOCH [54/100], ITER [822/1666] 
LOSS: 0.00051517, TIME: 12802.9s
STEP [89140], EPOCH [54/100], ITER [842/1666] 
LOSS: 0.00056085, TIME: 12805.8s
STEP [89160], EPOCH [54/100], ITER [862/1666] 
LOSS: 0.00051216, TIME: 12808.6s
STEP [89180], EPOCH [54/100], ITER [882/1666] 
LOSS: 0.00045223, TIME: 12811.5s
STEP [89200], EPOCH [54/100], ITER [902/1666] 
LOSS: 0.00051396, TIME: 12814.3s
STEP [89220], EPOCH [54/100], ITER [922/1666] 
LOSS: 0.00061421, TIME: 12817.2s
STEP [89240], EPOCH [54/100], ITER [942/1666] 
LOSS: 0.00052260, TIME: 12820.0s
STEP [89260], EPOCH [54/100], ITER [962/1666] 
LOSS: 0.00044324, TIME: 12822.9s
STEP [89280], EPOCH [54/100], ITER [982/1666] 
LOSS: 0.00078272, TIME: 12825.8s
STEP [89300], EPOCH [54/100], ITER [1002/1666] 
LOSS: 0.00063389, TIME: 12828.6s
STEP [89320], EPOCH [54/100], ITER [1022/1666] 
LOSS: 0.00081065, TIME: 12831.5s
STEP [89340], EPOCH [54/100], ITER [1042/1666] 
LOSS: 0.00055685, TIME: 12834.3s
STEP [89360], EPOCH [54/100], ITER [1062/1666] 
LOSS: 0.00069257, TIME: 12837.2s
STEP [89380], EPOCH [54/100], ITER [1082/1666] 
LOSS: 0.00067788, TIME: 12840.0s
STEP [89400], EPOCH [54/100], ITER [1102/1666] 
LOSS: 0.00069049, TIME: 12842.9s
STEP [89420], EPOCH [54/100], ITER [1122/1666] 
LOSS: 0.00059133, TIME: 12845.7s
STEP [89440], EPOCH [54/100], ITER [1142/1666] 
LOSS: 0.00057917, TIME: 12848.6s
STEP [89460], EPOCH [54/100], ITER [1162/1666] 
LOSS: 0.00050508, TIME: 12851.4s
STEP [89480], EPOCH [54/100], ITER [1182/1666] 
LOSS: 0.00044071, TIME: 12854.3s
STEP [89500], EPOCH [54/100], ITER [1202/1666] 
LOSS: 0.00068211, TIME: 12857.1s
STEP [89520], EPOCH [54/100], ITER [1222/1666] 
LOSS: 0.00074834, TIME: 12860.0s
STEP [89540], EPOCH [54/100], ITER [1242/1666] 
LOSS: 0.00034830, TIME: 12862.9s
STEP [89560], EPOCH [54/100], ITER [1262/1666] 
LOSS: 0.00093728, TIME: 12865.7s
STEP [89580], EPOCH [54/100], ITER [1282/1666] 
LOSS: 0.00056698, TIME: 12868.6s
STEP [89600], EPOCH [54/100], ITER [1302/1666] 
LOSS: 0.00067689, TIME: 12871.4s
STEP [89620], EPOCH [54/100], ITER [1322/1666] 
LOSS: 0.00042127, TIME: 12874.3s
STEP [89640], EPOCH [54/100], ITER [1342/1666] 
LOSS: 0.00061714, TIME: 12877.1s
STEP [89660], EPOCH [54/100], ITER [1362/1666] 
LOSS: 0.00057395, TIME: 12880.0s
STEP [89680], EPOCH [54/100], ITER [1382/1666] 
LOSS: 0.00057622, TIME: 12882.8s
STEP [89700], EPOCH [54/100], ITER [1402/1666] 
LOSS: 0.00051807, TIME: 12885.7s
STEP [89720], EPOCH [54/100], ITER [1422/1666] 
LOSS: 0.00058963, TIME: 12888.5s
STEP [89740], EPOCH [54/100], ITER [1442/1666] 
LOSS: 0.00042041, TIME: 12891.4s
STEP [89760], EPOCH [54/100], ITER [1462/1666] 
LOSS: 0.00044782, TIME: 12894.3s
STEP [89780], EPOCH [54/100], ITER [1482/1666] 
LOSS: 0.00061230, TIME: 12897.1s
STEP [89800], EPOCH [54/100], ITER [1502/1666] 
LOSS: 0.00041072, TIME: 12900.0s
STEP [89820], EPOCH [54/100], ITER [1522/1666] 
LOSS: 0.00046903, TIME: 12902.8s
STEP [89840], EPOCH [54/100], ITER [1542/1666] 
LOSS: 0.00089779, TIME: 12905.7s
STEP [89860], EPOCH [54/100], ITER [1562/1666] 
LOSS: 0.00116274, TIME: 12908.5s
STEP [89880], EPOCH [54/100], ITER [1582/1666] 
LOSS: 0.00044879, TIME: 12911.4s
STEP [89900], EPOCH [54/100], ITER [1602/1666] 
LOSS: 0.00087092, TIME: 12914.2s
STEP [89920], EPOCH [54/100], ITER [1622/1666] 
LOSS: 0.00039901, TIME: 12917.1s
STEP [89940], EPOCH [54/100], ITER [1642/1666] 
LOSS: 0.00051226, TIME: 12919.9s
STEP [89960], EPOCH [54/100], ITER [1662/1666] 
LOSS: 0.00027540, TIME: 12922.8s
STEP [89980], EPOCH [55/100], ITER [16/1666] 
LOSS: 0.00065887, TIME: 12927.2s
STEP [90000], EPOCH [55/100], ITER [36/1666] 
LOSS: 0.00056790, TIME: 12930.0s
STEP [90020], EPOCH [55/100], ITER [56/1666] 
LOSS: 0.00057481, TIME: 12933.0s
STEP [90040], EPOCH [55/100], ITER [76/1666] 
LOSS: 0.00039248, TIME: 12935.8s
STEP [90060], EPOCH [55/100], ITER [96/1666] 
LOSS: 0.00070656, TIME: 12938.7s
STEP [90080], EPOCH [55/100], ITER [116/1666] 
LOSS: 0.00057995, TIME: 12941.5s
STEP [90100], EPOCH [55/100], ITER [136/1666] 
LOSS: 0.00076020, TIME: 12944.4s
STEP [90120], EPOCH [55/100], ITER [156/1666] 
LOSS: 0.00055356, TIME: 12947.2s
STEP [90140], EPOCH [55/100], ITER [176/1666] 
LOSS: 0.00050122, TIME: 12950.1s
STEP [90160], EPOCH [55/100], ITER [196/1666] 
LOSS: 0.00064737, TIME: 12952.9s
STEP [90180], EPOCH [55/100], ITER [216/1666] 
LOSS: 0.00088386, TIME: 12955.8s
STEP [90200], EPOCH [55/100], ITER [236/1666] 
LOSS: 0.00078524, TIME: 12958.6s
STEP [90220], EPOCH [55/100], ITER [256/1666] 
LOSS: 0.00036889, TIME: 12961.5s
STEP [90240], EPOCH [55/100], ITER [276/1666] 
LOSS: 0.00063231, TIME: 12964.4s
STEP [90260], EPOCH [55/100], ITER [296/1666] 
LOSS: 0.00064937, TIME: 12967.2s
STEP [90280], EPOCH [55/100], ITER [316/1666] 
LOSS: 0.00044284, TIME: 12970.1s
STEP [90300], EPOCH [55/100], ITER [336/1666] 
LOSS: 0.00026543, TIME: 12972.9s
STEP [90320], EPOCH [55/100], ITER [356/1666] 
LOSS: 0.00058088, TIME: 12975.8s
STEP [90340], EPOCH [55/100], ITER [376/1666] 
LOSS: 0.00043989, TIME: 12978.6s
STEP [90360], EPOCH [55/100], ITER [396/1666] 
LOSS: 0.00051081, TIME: 12981.5s
STEP [90380], EPOCH [55/100], ITER [416/1666] 
LOSS: 0.00083900, TIME: 12984.3s
STEP [90400], EPOCH [55/100], ITER [436/1666] 
LOSS: 0.00066196, TIME: 12987.2s
STEP [90420], EPOCH [55/100], ITER [456/1666] 
LOSS: 0.00027817, TIME: 12990.0s
STEP [90440], EPOCH [55/100], ITER [476/1666] 
LOSS: 0.00033682, TIME: 12992.9s
STEP [90460], EPOCH [55/100], ITER [496/1666] 
LOSS: 0.00060010, TIME: 12995.7s
STEP [90480], EPOCH [55/100], ITER [516/1666] 
LOSS: 0.00055993, TIME: 12998.6s
STEP [90500], EPOCH [55/100], ITER [536/1666] 
LOSS: 0.00054969, TIME: 13001.4s
STEP [90520], EPOCH [55/100], ITER [556/1666] 
LOSS: 0.00076482, TIME: 13004.3s
STEP [90540], EPOCH [55/100], ITER [576/1666] 
LOSS: 0.00031286, TIME: 13007.1s
STEP [90560], EPOCH [55/100], ITER [596/1666] 
LOSS: 0.00071098, TIME: 13010.0s
STEP [90580], EPOCH [55/100], ITER [616/1666] 
LOSS: 0.00063598, TIME: 13012.9s
STEP [90600], EPOCH [55/100], ITER [636/1666] 
LOSS: 0.00046091, TIME: 13015.7s
STEP [90620], EPOCH [55/100], ITER [656/1666] 
LOSS: 0.00050554, TIME: 13018.6s
STEP [90640], EPOCH [55/100], ITER [676/1666] 
LOSS: 0.00076636, TIME: 13021.4s
STEP [90660], EPOCH [55/100], ITER [696/1666] 
LOSS: 0.00050797, TIME: 13024.3s
STEP [90680], EPOCH [55/100], ITER [716/1666] 
LOSS: 0.00054528, TIME: 13027.1s
STEP [90700], EPOCH [55/100], ITER [736/1666] 
LOSS: 0.00060357, TIME: 13030.0s
STEP [90720], EPOCH [55/100], ITER [756/1666] 
LOSS: 0.00037871, TIME: 13032.8s
STEP [90740], EPOCH [55/100], ITER [776/1666] 
LOSS: 0.00064188, TIME: 13035.7s
STEP [90760], EPOCH [55/100], ITER [796/1666] 
LOSS: 0.00039297, TIME: 13038.5s
STEP [90780], EPOCH [55/100], ITER [816/1666] 
LOSS: 0.00078710, TIME: 13041.4s
STEP [90800], EPOCH [55/100], ITER [836/1666] 
LOSS: 0.00048701, TIME: 13044.2s
STEP [90820], EPOCH [55/100], ITER [856/1666] 
LOSS: 0.00078284, TIME: 13047.1s
STEP [90840], EPOCH [55/100], ITER [876/1666] 
LOSS: 0.00064037, TIME: 13049.9s
STEP [90860], EPOCH [55/100], ITER [896/1666] 
LOSS: 0.00068763, TIME: 13052.8s
STEP [90880], EPOCH [55/100], ITER [916/1666] 
LOSS: 0.00052926, TIME: 13055.6s
STEP [90900], EPOCH [55/100], ITER [936/1666] 
LOSS: 0.00054844, TIME: 13058.5s
STEP [90920], EPOCH [55/100], ITER [956/1666] 
LOSS: 0.00042076, TIME: 13061.4s
STEP [90940], EPOCH [55/100], ITER [976/1666] 
LOSS: 0.00066608, TIME: 13064.2s
STEP [90960], EPOCH [55/100], ITER [996/1666] 
LOSS: 0.00109667, TIME: 13067.1s
STEP [90980], EPOCH [55/100], ITER [1016/1666] 
LOSS: 0.00095393, TIME: 13069.9s
STEP [91000], EPOCH [55/100], ITER [1036/1666] 
LOSS: 0.00039992, TIME: 13072.8s
STEP [91020], EPOCH [55/100], ITER [1056/1666] 
LOSS: 0.00058940, TIME: 13075.7s
STEP [91040], EPOCH [55/100], ITER [1076/1666] 
LOSS: 0.00064337, TIME: 13078.5s
STEP [91060], EPOCH [55/100], ITER [1096/1666] 
LOSS: 0.00058970, TIME: 13081.4s
STEP [91080], EPOCH [55/100], ITER [1116/1666] 
LOSS: 0.00052969, TIME: 13084.3s
STEP [91100], EPOCH [55/100], ITER [1136/1666] 
LOSS: 0.00099356, TIME: 13087.1s
STEP [91120], EPOCH [55/100], ITER [1156/1666] 
LOSS: 0.00050104, TIME: 13090.0s
STEP [91140], EPOCH [55/100], ITER [1176/1666] 
LOSS: 0.00135478, TIME: 13092.8s
STEP [91160], EPOCH [55/100], ITER [1196/1666] 
LOSS: 0.00040062, TIME: 13095.7s
STEP [91180], EPOCH [55/100], ITER [1216/1666] 
LOSS: 0.00051129, TIME: 13098.5s
STEP [91200], EPOCH [55/100], ITER [1236/1666] 
LOSS: 0.00077311, TIME: 13101.4s
STEP [91220], EPOCH [55/100], ITER [1256/1666] 
LOSS: 0.00072984, TIME: 13104.2s
STEP [91240], EPOCH [55/100], ITER [1276/1666] 
LOSS: 0.00052118, TIME: 13107.1s
STEP [91260], EPOCH [55/100], ITER [1296/1666] 
LOSS: 0.00053798, TIME: 13109.9s
STEP [91280], EPOCH [55/100], ITER [1316/1666] 
LOSS: 0.00060158, TIME: 13112.8s
STEP [91300], EPOCH [55/100], ITER [1336/1666] 
LOSS: 0.00061427, TIME: 13115.6s
STEP [91320], EPOCH [55/100], ITER [1356/1666] 
LOSS: 0.00066019, TIME: 13118.5s
STEP [91340], EPOCH [55/100], ITER [1376/1666] 
LOSS: 0.00043281, TIME: 13121.3s
STEP [91360], EPOCH [55/100], ITER [1396/1666] 
LOSS: 0.00039000, TIME: 13124.2s
STEP [91380], EPOCH [55/100], ITER [1416/1666] 
LOSS: 0.00057113, TIME: 13127.0s
STEP [91400], EPOCH [55/100], ITER [1436/1666] 
LOSS: 0.00149773, TIME: 13129.9s
STEP [91420], EPOCH [55/100], ITER [1456/1666] 
LOSS: 0.00078060, TIME: 13132.8s
STEP [91440], EPOCH [55/100], ITER [1476/1666] 
LOSS: 0.00049360, TIME: 13135.6s
STEP [91460], EPOCH [55/100], ITER [1496/1666] 
LOSS: 0.00088741, TIME: 13138.5s
STEP [91480], EPOCH [55/100], ITER [1516/1666] 
LOSS: 0.00096662, TIME: 13141.3s
STEP [91500], EPOCH [55/100], ITER [1536/1666] 
LOSS: 0.00057317, TIME: 13144.2s
STEP [91520], EPOCH [55/100], ITER [1556/1666] 
LOSS: 0.00079206, TIME: 13147.0s
STEP [91540], EPOCH [55/100], ITER [1576/1666] 
LOSS: 0.00059545, TIME: 13149.9s
STEP [91560], EPOCH [55/100], ITER [1596/1666] 
LOSS: 0.00057667, TIME: 13152.7s
STEP [91580], EPOCH [55/100], ITER [1616/1666] 
LOSS: 0.00050469, TIME: 13155.6s
STEP [91600], EPOCH [55/100], ITER [1636/1666] 
LOSS: 0.00063895, TIME: 13158.4s
STEP [91620], EPOCH [55/100], ITER [1656/1666] 
LOSS: 0.00038453, TIME: 13161.3s
STEP [91640], EPOCH [56/100], ITER [10/1666] 
LOSS: 0.00059118, TIME: 13165.6s
STEP [91660], EPOCH [56/100], ITER [30/1666] 
LOSS: 0.00069021, TIME: 13168.5s
STEP [91680], EPOCH [56/100], ITER [50/1666] 
LOSS: 0.00114449, TIME: 13171.3s
STEP [91700], EPOCH [56/100], ITER [70/1666] 
LOSS: 0.00043128, TIME: 13174.2s
STEP [91720], EPOCH [56/100], ITER [90/1666] 
LOSS: 0.00064196, TIME: 13177.0s
STEP [91740], EPOCH [56/100], ITER [110/1666] 
LOSS: 0.00056494, TIME: 13179.9s
STEP [91760], EPOCH [56/100], ITER [130/1666] 
LOSS: 0.00053085, TIME: 13182.7s
STEP [91780], EPOCH [56/100], ITER [150/1666] 
LOSS: 0.00049471, TIME: 13185.6s
STEP [91800], EPOCH [56/100], ITER [170/1666] 
LOSS: 0.00040196, TIME: 13188.4s
STEP [91820], EPOCH [56/100], ITER [190/1666] 
LOSS: 0.00032501, TIME: 13191.3s
STEP [91840], EPOCH [56/100], ITER [210/1666] 
LOSS: 0.00079053, TIME: 13194.1s
STEP [91860], EPOCH [56/100], ITER [230/1666] 
LOSS: 0.00038263, TIME: 13197.0s
STEP [91880], EPOCH [56/100], ITER [250/1666] 
LOSS: 0.00034981, TIME: 13199.8s
STEP [91900], EPOCH [56/100], ITER [270/1666] 
LOSS: 0.00055471, TIME: 13202.7s
STEP [91920], EPOCH [56/100], ITER [290/1666] 
LOSS: 0.00116154, TIME: 13205.5s
STEP [91940], EPOCH [56/100], ITER [310/1666] 
LOSS: 0.00061290, TIME: 13208.4s
STEP [91960], EPOCH [56/100], ITER [330/1666] 
LOSS: 0.00063397, TIME: 13211.2s
STEP [91980], EPOCH [56/100], ITER [350/1666] 
LOSS: 0.00068248, TIME: 13214.1s
STEP [92000], EPOCH [56/100], ITER [370/1666] 
LOSS: 0.00068389, TIME: 13216.9s
STEP [92020], EPOCH [56/100], ITER [390/1666] 
LOSS: 0.00063789, TIME: 13219.9s
STEP [92040], EPOCH [56/100], ITER [410/1666] 
LOSS: 0.00071463, TIME: 13222.7s
STEP [92060], EPOCH [56/100], ITER [430/1666] 
LOSS: 0.00067891, TIME: 13225.6s
STEP [92080], EPOCH [56/100], ITER [450/1666] 
LOSS: 0.00062746, TIME: 13228.4s
STEP [92100], EPOCH [56/100], ITER [470/1666] 
LOSS: 0.00054073, TIME: 13231.2s
STEP [92120], EPOCH [56/100], ITER [490/1666] 
LOSS: 0.00042285, TIME: 13234.1s
STEP [92140], EPOCH [56/100], ITER [510/1666] 
LOSS: 0.00064716, TIME: 13236.9s
STEP [92160], EPOCH [56/100], ITER [530/1666] 
LOSS: 0.00062490, TIME: 13239.8s
STEP [92180], EPOCH [56/100], ITER [550/1666] 
LOSS: 0.00061489, TIME: 13242.6s
STEP [92200], EPOCH [56/100], ITER [570/1666] 
LOSS: 0.00040107, TIME: 13245.5s
STEP [92220], EPOCH [56/100], ITER [590/1666] 
LOSS: 0.00071346, TIME: 13248.3s
STEP [92240], EPOCH [56/100], ITER [610/1666] 
LOSS: 0.00073151, TIME: 13251.2s
STEP [92260], EPOCH [56/100], ITER [630/1666] 
LOSS: 0.00054142, TIME: 13254.0s
STEP [92280], EPOCH [56/100], ITER [650/1666] 
LOSS: 0.00027161, TIME: 13256.9s
STEP [92300], EPOCH [56/100], ITER [670/1666] 
LOSS: 0.00063021, TIME: 13259.7s
STEP [92320], EPOCH [56/100], ITER [690/1666] 
LOSS: 0.00058250, TIME: 13262.6s
STEP [92340], EPOCH [56/100], ITER [710/1666] 
LOSS: 0.00074331, TIME: 13265.4s
STEP [92360], EPOCH [56/100], ITER [730/1666] 
LOSS: 0.00060448, TIME: 13268.3s
STEP [92380], EPOCH [56/100], ITER [750/1666] 
LOSS: 0.00092985, TIME: 13271.1s
STEP [92400], EPOCH [56/100], ITER [770/1666] 
LOSS: 0.00062111, TIME: 13274.0s
STEP [92420], EPOCH [56/100], ITER [790/1666] 
LOSS: 0.00057410, TIME: 13276.8s
STEP [92440], EPOCH [56/100], ITER [810/1666] 
LOSS: 0.00049035, TIME: 13279.7s
STEP [92460], EPOCH [56/100], ITER [830/1666] 
LOSS: 0.00141675, TIME: 13282.5s
STEP [92480], EPOCH [56/100], ITER [850/1666] 
LOSS: 0.00061660, TIME: 13285.4s
STEP [92500], EPOCH [56/100], ITER [870/1666] 
LOSS: 0.00088958, TIME: 13288.2s
STEP [92520], EPOCH [56/100], ITER [890/1666] 
LOSS: 0.00057100, TIME: 13291.1s
STEP [92540], EPOCH [56/100], ITER [910/1666] 
LOSS: 0.00065932, TIME: 13293.9s
STEP [92560], EPOCH [56/100], ITER [930/1666] 
LOSS: 0.00037941, TIME: 13296.8s
STEP [92580], EPOCH [56/100], ITER [950/1666] 
LOSS: 0.00084146, TIME: 13299.6s
STEP [92600], EPOCH [56/100], ITER [970/1666] 
LOSS: 0.00055436, TIME: 13302.4s
STEP [92620], EPOCH [56/100], ITER [990/1666] 
LOSS: 0.00081556, TIME: 13305.3s
STEP [92640], EPOCH [56/100], ITER [1010/1666] 
LOSS: 0.00070301, TIME: 13308.1s
STEP [92660], EPOCH [56/100], ITER [1030/1666] 
LOSS: 0.00064711, TIME: 13311.0s
STEP [92680], EPOCH [56/100], ITER [1050/1666] 
LOSS: 0.00037898, TIME: 13313.8s
STEP [92700], EPOCH [56/100], ITER [1070/1666] 
LOSS: 0.00038166, TIME: 13316.7s
STEP [92720], EPOCH [56/100], ITER [1090/1666] 
LOSS: 0.00087945, TIME: 13319.5s
STEP [92740], EPOCH [56/100], ITER [1110/1666] 
LOSS: 0.00076774, TIME: 13322.4s
STEP [92760], EPOCH [56/100], ITER [1130/1666] 
LOSS: 0.00066285, TIME: 13325.2s
STEP [92780], EPOCH [56/100], ITER [1150/1666] 
LOSS: 0.00048372, TIME: 13328.1s
STEP [92800], EPOCH [56/100], ITER [1170/1666] 
LOSS: 0.00068057, TIME: 13330.9s
STEP [92820], EPOCH [56/100], ITER [1190/1666] 
LOSS: 0.00054397, TIME: 13333.8s
STEP [92840], EPOCH [56/100], ITER [1210/1666] 
LOSS: 0.00053266, TIME: 13336.6s
STEP [92860], EPOCH [56/100], ITER [1230/1666] 
LOSS: 0.00091554, TIME: 13339.5s
STEP [92880], EPOCH [56/100], ITER [1250/1666] 
LOSS: 0.00052063, TIME: 13342.3s
STEP [92900], EPOCH [56/100], ITER [1270/1666] 
LOSS: 0.00073884, TIME: 13345.2s
STEP [92920], EPOCH [56/100], ITER [1290/1666] 
LOSS: 0.00145544, TIME: 13348.0s
STEP [92940], EPOCH [56/100], ITER [1310/1666] 
LOSS: 0.00044892, TIME: 13350.9s
STEP [92960], EPOCH [56/100], ITER [1330/1666] 
LOSS: 0.00064329, TIME: 13353.7s
STEP [92980], EPOCH [56/100], ITER [1350/1666] 
LOSS: 0.00039942, TIME: 13356.6s
STEP [93000], EPOCH [56/100], ITER [1370/1666] 
LOSS: 0.00056033, TIME: 13359.4s
STEP [93020], EPOCH [56/100], ITER [1390/1666] 
LOSS: 0.00038995, TIME: 13362.3s
STEP [93040], EPOCH [56/100], ITER [1410/1666] 
LOSS: 0.00061922, TIME: 13365.2s
STEP [93060], EPOCH [56/100], ITER [1430/1666] 
LOSS: 0.00066459, TIME: 13368.0s
STEP [93080], EPOCH [56/100], ITER [1450/1666] 
LOSS: 0.00061496, TIME: 13370.9s
STEP [93100], EPOCH [56/100], ITER [1470/1666] 
LOSS: 0.00067365, TIME: 13373.7s
STEP [93120], EPOCH [56/100], ITER [1490/1666] 
LOSS: 0.00052621, TIME: 13376.6s
STEP [93140], EPOCH [56/100], ITER [1510/1666] 
LOSS: 0.00038031, TIME: 13379.4s
STEP [93160], EPOCH [56/100], ITER [1530/1666] 
LOSS: 0.00096651, TIME: 13382.3s
STEP [93180], EPOCH [56/100], ITER [1550/1666] 
LOSS: 0.00061880, TIME: 13385.1s
STEP [93200], EPOCH [56/100], ITER [1570/1666] 
LOSS: 0.00036025, TIME: 13388.0s
STEP [93220], EPOCH [56/100], ITER [1590/1666] 
LOSS: 0.00048139, TIME: 13390.8s
STEP [93240], EPOCH [56/100], ITER [1610/1666] 
LOSS: 0.00051587, TIME: 13393.7s
STEP [93260], EPOCH [56/100], ITER [1630/1666] 
LOSS: 0.00043464, TIME: 13396.5s
STEP [93280], EPOCH [56/100], ITER [1650/1666] 
LOSS: 0.00070458, TIME: 13399.4s
STEP [93300], EPOCH [57/100], ITER [4/1666] 
LOSS: 0.00048097, TIME: 13403.6s
STEP [93320], EPOCH [57/100], ITER [24/1666] 
LOSS: 0.00073127, TIME: 13406.5s
STEP [93340], EPOCH [57/100], ITER [44/1666] 
LOSS: 0.00037672, TIME: 13409.3s
STEP [93360], EPOCH [57/100], ITER [64/1666] 
LOSS: 0.00040622, TIME: 13412.2s
STEP [93380], EPOCH [57/100], ITER [84/1666] 
LOSS: 0.00071633, TIME: 13415.0s
STEP [93400], EPOCH [57/100], ITER [104/1666] 
LOSS: 0.00050921, TIME: 13417.9s
STEP [93420], EPOCH [57/100], ITER [124/1666] 
LOSS: 0.00044812, TIME: 13420.7s
STEP [93440], EPOCH [57/100], ITER [144/1666] 
LOSS: 0.00051490, TIME: 13423.6s
STEP [93460], EPOCH [57/100], ITER [164/1666] 
LOSS: 0.00048292, TIME: 13426.4s
STEP [93480], EPOCH [57/100], ITER [184/1666] 
LOSS: 0.00052008, TIME: 13429.3s
STEP [93500], EPOCH [57/100], ITER [204/1666] 
LOSS: 0.00065086, TIME: 13432.1s
STEP [93520], EPOCH [57/100], ITER [224/1666] 
LOSS: 0.00070239, TIME: 13435.0s
STEP [93540], EPOCH [57/100], ITER [244/1666] 
LOSS: 0.00095419, TIME: 13437.8s
STEP [93560], EPOCH [57/100], ITER [264/1666] 
LOSS: 0.00060162, TIME: 13440.7s
STEP [93580], EPOCH [57/100], ITER [284/1666] 
LOSS: 0.00050436, TIME: 13443.6s
STEP [93600], EPOCH [57/100], ITER [304/1666] 
LOSS: 0.00064093, TIME: 13446.4s
STEP [93620], EPOCH [57/100], ITER [324/1666] 
LOSS: 0.00101971, TIME: 13449.3s
STEP [93640], EPOCH [57/100], ITER [344/1666] 
LOSS: 0.00038810, TIME: 13452.1s
STEP [93660], EPOCH [57/100], ITER [364/1666] 
LOSS: 0.00059272, TIME: 13455.0s
STEP [93680], EPOCH [57/100], ITER [384/1666] 
LOSS: 0.00061372, TIME: 13457.8s
STEP [93700], EPOCH [57/100], ITER [404/1666] 
LOSS: 0.00072919, TIME: 13460.7s
STEP [93720], EPOCH [57/100], ITER [424/1666] 
LOSS: 0.00043525, TIME: 13463.5s
STEP [93740], EPOCH [57/100], ITER [444/1666] 
LOSS: 0.00113089, TIME: 13466.4s
STEP [93760], EPOCH [57/100], ITER [464/1666] 
LOSS: 0.00068512, TIME: 13469.2s
STEP [93780], EPOCH [57/100], ITER [484/1666] 
LOSS: 0.00087108, TIME: 13472.1s
STEP [93800], EPOCH [57/100], ITER [504/1666] 
LOSS: 0.00077062, TIME: 13474.9s
STEP [93820], EPOCH [57/100], ITER [524/1666] 
LOSS: 0.00049870, TIME: 13477.8s
STEP [93840], EPOCH [57/100], ITER [544/1666] 
LOSS: 0.00025107, TIME: 13480.6s
STEP [93860], EPOCH [57/100], ITER [564/1666] 
LOSS: 0.00059682, TIME: 13483.5s
STEP [93880], EPOCH [57/100], ITER [584/1666] 
LOSS: 0.00047552, TIME: 13486.4s
STEP [93900], EPOCH [57/100], ITER [604/1666] 
LOSS: 0.00081101, TIME: 13489.2s
STEP [93920], EPOCH [57/100], ITER [624/1666] 
LOSS: 0.00071970, TIME: 13492.1s
STEP [93940], EPOCH [57/100], ITER [644/1666] 
LOSS: 0.00067497, TIME: 13494.9s
STEP [93960], EPOCH [57/100], ITER [664/1666] 
LOSS: 0.00047957, TIME: 13497.8s
STEP [93980], EPOCH [57/100], ITER [684/1666] 
LOSS: 0.00065539, TIME: 13500.6s
STEP [94000], EPOCH [57/100], ITER [704/1666] 
LOSS: 0.00064197, TIME: 13503.5s
STEP [94020], EPOCH [57/100], ITER [724/1666] 
LOSS: 0.00066342, TIME: 13506.4s
STEP [94040], EPOCH [57/100], ITER [744/1666] 
LOSS: 0.00055065, TIME: 13509.3s
STEP [94060], EPOCH [57/100], ITER [764/1666] 
LOSS: 0.00060469, TIME: 13512.1s
STEP [94080], EPOCH [57/100], ITER [784/1666] 
LOSS: 0.00043554, TIME: 13515.0s
STEP [94100], EPOCH [57/100], ITER [804/1666] 
LOSS: 0.00052746, TIME: 13517.8s
STEP [94120], EPOCH [57/100], ITER [824/1666] 
LOSS: 0.00053686, TIME: 13520.7s
STEP [94140], EPOCH [57/100], ITER [844/1666] 
LOSS: 0.00082053, TIME: 13523.5s
STEP [94160], EPOCH [57/100], ITER [864/1666] 
LOSS: 0.00035418, TIME: 13526.4s
STEP [94180], EPOCH [57/100], ITER [884/1666] 
LOSS: 0.00057035, TIME: 13529.2s
STEP [94200], EPOCH [57/100], ITER [904/1666] 
LOSS: 0.00049233, TIME: 13532.1s
STEP [94220], EPOCH [57/100], ITER [924/1666] 
LOSS: 0.00052937, TIME: 13534.9s
STEP [94240], EPOCH [57/100], ITER [944/1666] 
LOSS: 0.00046730, TIME: 13537.8s
STEP [94260], EPOCH [57/100], ITER [964/1666] 
LOSS: 0.00047645, TIME: 13540.7s
STEP [94280], EPOCH [57/100], ITER [984/1666] 
LOSS: 0.00066277, TIME: 13543.5s
STEP [94300], EPOCH [57/100], ITER [1004/1666] 
LOSS: 0.00102937, TIME: 13546.4s
STEP [94320], EPOCH [57/100], ITER [1024/1666] 
LOSS: 0.00028261, TIME: 13549.2s
STEP [94340], EPOCH [57/100], ITER [1044/1666] 
LOSS: 0.00050302, TIME: 13552.1s
STEP [94360], EPOCH [57/100], ITER [1064/1666] 
LOSS: 0.00067413, TIME: 13554.9s
STEP [94380], EPOCH [57/100], ITER [1084/1666] 
LOSS: 0.00047478, TIME: 13557.8s
STEP [94400], EPOCH [57/100], ITER [1104/1666] 
LOSS: 0.00068582, TIME: 13560.6s
STEP [94420], EPOCH [57/100], ITER [1124/1666] 
LOSS: 0.00080780, TIME: 13563.5s
STEP [94440], EPOCH [57/100], ITER [1144/1666] 
LOSS: 0.00021060, TIME: 13566.3s
STEP [94460], EPOCH [57/100], ITER [1164/1666] 
LOSS: 0.00057453, TIME: 13569.2s
STEP [94480], EPOCH [57/100], ITER [1184/1666] 
LOSS: 0.00037419, TIME: 13572.0s
STEP [94500], EPOCH [57/100], ITER [1204/1666] 
LOSS: 0.00057126, TIME: 13574.9s
STEP [94520], EPOCH [57/100], ITER [1224/1666] 
LOSS: 0.00047657, TIME: 13577.7s
STEP [94540], EPOCH [57/100], ITER [1244/1666] 
LOSS: 0.00042327, TIME: 13580.6s
STEP [94560], EPOCH [57/100], ITER [1264/1666] 
LOSS: 0.00122943, TIME: 13583.5s
STEP [94580], EPOCH [57/100], ITER [1284/1666] 
LOSS: 0.00062477, TIME: 13586.3s
STEP [94600], EPOCH [57/100], ITER [1304/1666] 
LOSS: 0.00048261, TIME: 13589.2s
STEP [94620], EPOCH [57/100], ITER [1324/1666] 
LOSS: 0.00070531, TIME: 13592.0s
STEP [94640], EPOCH [57/100], ITER [1344/1666] 
LOSS: 0.00024872, TIME: 13594.9s
STEP [94660], EPOCH [57/100], ITER [1364/1666] 
LOSS: 0.00045485, TIME: 13597.7s
STEP [94680], EPOCH [57/100], ITER [1384/1666] 
LOSS: 0.00041214, TIME: 13600.6s
STEP [94700], EPOCH [57/100], ITER [1404/1666] 
LOSS: 0.00062355, TIME: 13603.4s
STEP [94720], EPOCH [57/100], ITER [1424/1666] 
LOSS: 0.00058539, TIME: 13606.3s
STEP [94740], EPOCH [57/100], ITER [1444/1666] 
LOSS: 0.00050804, TIME: 13609.2s
STEP [94760], EPOCH [57/100], ITER [1464/1666] 
LOSS: 0.00046436, TIME: 13612.0s
STEP [94780], EPOCH [57/100], ITER [1484/1666] 
LOSS: 0.00057037, TIME: 13614.9s
STEP [94800], EPOCH [57/100], ITER [1504/1666] 
LOSS: 0.00054835, TIME: 13617.7s
STEP [94820], EPOCH [57/100], ITER [1524/1666] 
LOSS: 0.00061239, TIME: 13620.6s
STEP [94840], EPOCH [57/100], ITER [1544/1666] 
LOSS: 0.00071991, TIME: 13623.4s
STEP [94860], EPOCH [57/100], ITER [1564/1666] 
LOSS: 0.00077598, TIME: 13626.3s
STEP [94880], EPOCH [57/100], ITER [1584/1666] 
LOSS: 0.00061023, TIME: 13629.1s
STEP [94900], EPOCH [57/100], ITER [1604/1666] 
LOSS: 0.00064671, TIME: 13632.0s
STEP [94920], EPOCH [57/100], ITER [1624/1666] 
LOSS: 0.00054893, TIME: 13634.9s
STEP [94940], EPOCH [57/100], ITER [1644/1666] 
LOSS: 0.00044830, TIME: 13637.7s
STEP [94960], EPOCH [57/100], ITER [1664/1666] 
LOSS: 0.00053842, TIME: 13640.6s
STEP [94980], EPOCH [58/100], ITER [18/1666] 
LOSS: 0.00045890, TIME: 13644.9s
STEP [95000], EPOCH [58/100], ITER [38/1666] 
LOSS: 0.00052065, TIME: 13647.8s
STEP [95020], EPOCH [58/100], ITER [58/1666] 
LOSS: 0.00053423, TIME: 13650.7s
STEP [95040], EPOCH [58/100], ITER [78/1666] 
LOSS: 0.00069227, TIME: 13653.5s
STEP [95060], EPOCH [58/100], ITER [98/1666] 
LOSS: 0.00038931, TIME: 13656.4s
STEP [95080], EPOCH [58/100], ITER [118/1666] 
LOSS: 0.00048687, TIME: 13659.3s
STEP [95100], EPOCH [58/100], ITER [138/1666] 
LOSS: 0.00044030, TIME: 13662.1s
STEP [95120], EPOCH [58/100], ITER [158/1666] 
LOSS: 0.00057595, TIME: 13665.0s
STEP [95140], EPOCH [58/100], ITER [178/1666] 
LOSS: 0.00068841, TIME: 13667.8s
STEP [95160], EPOCH [58/100], ITER [198/1666] 
LOSS: 0.00057704, TIME: 13670.7s
STEP [95180], EPOCH [58/100], ITER [218/1666] 
LOSS: 0.00049968, TIME: 13673.5s
STEP [95200], EPOCH [58/100], ITER [238/1666] 
LOSS: 0.00062916, TIME: 13676.4s
STEP [95220], EPOCH [58/100], ITER [258/1666] 
LOSS: 0.00043417, TIME: 13679.2s
STEP [95240], EPOCH [58/100], ITER [278/1666] 
LOSS: 0.00075004, TIME: 13682.1s
STEP [95260], EPOCH [58/100], ITER [298/1666] 
LOSS: 0.00060534, TIME: 13684.9s
STEP [95280], EPOCH [58/100], ITER [318/1666] 
LOSS: 0.00042954, TIME: 13687.8s
STEP [95300], EPOCH [58/100], ITER [338/1666] 
LOSS: 0.00038434, TIME: 13690.6s
STEP [95320], EPOCH [58/100], ITER [358/1666] 
LOSS: 0.00089429, TIME: 13693.5s
STEP [95340], EPOCH [58/100], ITER [378/1666] 
LOSS: 0.00096003, TIME: 13696.3s
STEP [95360], EPOCH [58/100], ITER [398/1666] 
LOSS: 0.00101882, TIME: 13699.2s
STEP [95380], EPOCH [58/100], ITER [418/1666] 
LOSS: 0.00041112, TIME: 13702.1s
STEP [95400], EPOCH [58/100], ITER [438/1666] 
LOSS: 0.00055803, TIME: 13704.9s
STEP [95420], EPOCH [58/100], ITER [458/1666] 
LOSS: 0.00065121, TIME: 13707.8s
STEP [95440], EPOCH [58/100], ITER [478/1666] 
LOSS: 0.00073078, TIME: 13710.6s
STEP [95460], EPOCH [58/100], ITER [498/1666] 
LOSS: 0.00030397, TIME: 13713.5s
STEP [95480], EPOCH [58/100], ITER [518/1666] 
LOSS: 0.00045251, TIME: 13716.3s
STEP [95500], EPOCH [58/100], ITER [538/1666] 
LOSS: 0.00041894, TIME: 13719.2s
STEP [95520], EPOCH [58/100], ITER [558/1666] 
LOSS: 0.00108087, TIME: 13722.0s
STEP [95540], EPOCH [58/100], ITER [578/1666] 
LOSS: 0.00073012, TIME: 13724.9s
STEP [95560], EPOCH [58/100], ITER [598/1666] 
LOSS: 0.00080954, TIME: 13727.7s
STEP [95580], EPOCH [58/100], ITER [618/1666] 
LOSS: 0.00046418, TIME: 13730.6s
STEP [95600], EPOCH [58/100], ITER [638/1666] 
LOSS: 0.00042785, TIME: 13733.4s
STEP [95620], EPOCH [58/100], ITER [658/1666] 
LOSS: 0.00048634, TIME: 13736.3s
STEP [95640], EPOCH [58/100], ITER [678/1666] 
LOSS: 0.00070164, TIME: 13739.1s
STEP [95660], EPOCH [58/100], ITER [698/1666] 
LOSS: 0.00096738, TIME: 13742.0s
STEP [95680], EPOCH [58/100], ITER [718/1666] 
LOSS: 0.00038332, TIME: 13744.9s
STEP [95700], EPOCH [58/100], ITER [738/1666] 
LOSS: 0.00049535, TIME: 13747.7s
STEP [95720], EPOCH [58/100], ITER [758/1666] 
LOSS: 0.00039451, TIME: 13750.6s
STEP [95740], EPOCH [58/100], ITER [778/1666] 
LOSS: 0.00027298, TIME: 13753.4s
STEP [95760], EPOCH [58/100], ITER [798/1666] 
LOSS: 0.00060063, TIME: 13756.3s
STEP [95780], EPOCH [58/100], ITER [818/1666] 
LOSS: 0.00063857, TIME: 13759.1s
STEP [95800], EPOCH [58/100], ITER [838/1666] 
LOSS: 0.00055247, TIME: 13762.0s
STEP [95820], EPOCH [58/100], ITER [858/1666] 
LOSS: 0.00073915, TIME: 13764.8s
STEP [95840], EPOCH [58/100], ITER [878/1666] 
LOSS: 0.00050559, TIME: 13767.7s
STEP [95860], EPOCH [58/100], ITER [898/1666] 
LOSS: 0.00050655, TIME: 13770.5s
STEP [95880], EPOCH [58/100], ITER [918/1666] 
LOSS: 0.00062361, TIME: 13773.4s
STEP [95900], EPOCH [58/100], ITER [938/1666] 
LOSS: 0.00090329, TIME: 13776.2s
STEP [95920], EPOCH [58/100], ITER [958/1666] 
LOSS: 0.00050331, TIME: 13779.1s
STEP [95940], EPOCH [58/100], ITER [978/1666] 
LOSS: 0.00037369, TIME: 13782.0s
STEP [95960], EPOCH [58/100], ITER [998/1666] 
LOSS: 0.00045628, TIME: 13784.8s
STEP [95980], EPOCH [58/100], ITER [1018/1666] 
LOSS: 0.00081449, TIME: 13787.7s
STEP [96000], EPOCH [58/100], ITER [1038/1666] 
LOSS: 0.00038561, TIME: 13790.5s
STEP [96020], EPOCH [58/100], ITER [1058/1666] 
LOSS: 0.00043039, TIME: 13793.4s
STEP [96040], EPOCH [58/100], ITER [1078/1666] 
LOSS: 0.00070835, TIME: 13796.3s
STEP [96060], EPOCH [58/100], ITER [1098/1666] 
LOSS: 0.00053380, TIME: 13799.1s
STEP [96080], EPOCH [58/100], ITER [1118/1666] 
LOSS: 0.00034123, TIME: 13802.0s
STEP [96100], EPOCH [58/100], ITER [1138/1666] 
LOSS: 0.00062865, TIME: 13804.8s
STEP [96120], EPOCH [58/100], ITER [1158/1666] 
LOSS: 0.00055155, TIME: 13807.7s
STEP [96140], EPOCH [58/100], ITER [1178/1666] 
LOSS: 0.00093512, TIME: 13810.6s
STEP [96160], EPOCH [58/100], ITER [1198/1666] 
LOSS: 0.00059484, TIME: 13813.4s
STEP [96180], EPOCH [58/100], ITER [1218/1666] 
LOSS: 0.00060335, TIME: 13816.3s
STEP [96200], EPOCH [58/100], ITER [1238/1666] 
LOSS: 0.00081451, TIME: 13819.1s
STEP [96220], EPOCH [58/100], ITER [1258/1666] 
LOSS: 0.00073530, TIME: 13822.0s
STEP [96240], EPOCH [58/100], ITER [1278/1666] 
LOSS: 0.00054156, TIME: 13824.8s
STEP [96260], EPOCH [58/100], ITER [1298/1666] 
LOSS: 0.00046159, TIME: 13827.7s
STEP [96280], EPOCH [58/100], ITER [1318/1666] 
LOSS: 0.00054755, TIME: 13830.5s
STEP [96300], EPOCH [58/100], ITER [1338/1666] 
LOSS: 0.00038445, TIME: 13833.4s
STEP [96320], EPOCH [58/100], ITER [1358/1666] 
LOSS: 0.00043568, TIME: 13836.2s
STEP [96340], EPOCH [58/100], ITER [1378/1666] 
LOSS: 0.00072990, TIME: 13839.1s
STEP [96360], EPOCH [58/100], ITER [1398/1666] 
LOSS: 0.00065013, TIME: 13841.9s
STEP [96380], EPOCH [58/100], ITER [1418/1666] 
LOSS: 0.00058028, TIME: 13844.8s
STEP [96400], EPOCH [58/100], ITER [1438/1666] 
LOSS: 0.00081124, TIME: 13847.6s
STEP [96420], EPOCH [58/100], ITER [1458/1666] 
LOSS: 0.00101160, TIME: 13850.5s
STEP [96440], EPOCH [58/100], ITER [1478/1666] 
LOSS: 0.00054414, TIME: 13853.3s
STEP [96460], EPOCH [58/100], ITER [1498/1666] 
LOSS: 0.00076560, TIME: 13856.2s
STEP [96480], EPOCH [58/100], ITER [1518/1666] 
LOSS: 0.00086422, TIME: 13859.0s
STEP [96500], EPOCH [58/100], ITER [1538/1666] 
LOSS: 0.00053374, TIME: 13861.9s
STEP [96520], EPOCH [58/100], ITER [1558/1666] 
LOSS: 0.00045436, TIME: 13864.8s
STEP [96540], EPOCH [58/100], ITER [1578/1666] 
LOSS: 0.00057917, TIME: 13867.6s
STEP [96560], EPOCH [58/100], ITER [1598/1666] 
LOSS: 0.00071295, TIME: 13870.5s
STEP [96580], EPOCH [58/100], ITER [1618/1666] 
LOSS: 0.00056933, TIME: 13873.3s
STEP [96600], EPOCH [58/100], ITER [1638/1666] 
LOSS: 0.00051634, TIME: 13876.2s
STEP [96620], EPOCH [58/100], ITER [1658/1666] 
LOSS: 0.00065703, TIME: 13879.0s
STEP [96640], EPOCH [59/100], ITER [12/1666] 
LOSS: 0.00041112, TIME: 13883.2s
STEP [96660], EPOCH [59/100], ITER [32/1666] 
LOSS: 0.00050677, TIME: 13886.1s
STEP [96680], EPOCH [59/100], ITER [52/1666] 
LOSS: 0.00043572, TIME: 13888.9s
STEP [96700], EPOCH [59/100], ITER [72/1666] 
LOSS: 0.00076105, TIME: 13891.8s
STEP [96720], EPOCH [59/100], ITER [92/1666] 
LOSS: 0.00109228, TIME: 13894.6s
STEP [96740], EPOCH [59/100], ITER [112/1666] 
LOSS: 0.00046297, TIME: 13897.5s
STEP [96760], EPOCH [59/100], ITER [132/1666] 
LOSS: 0.00028595, TIME: 13900.4s
STEP [96780], EPOCH [59/100], ITER [152/1666] 
LOSS: 0.00067384, TIME: 13903.2s
STEP [96800], EPOCH [59/100], ITER [172/1666] 
LOSS: 0.00045920, TIME: 13906.1s
STEP [96820], EPOCH [59/100], ITER [192/1666] 
LOSS: 0.00054071, TIME: 13908.9s
STEP [96840], EPOCH [59/100], ITER [212/1666] 
LOSS: 0.00052700, TIME: 13911.8s
STEP [96860], EPOCH [59/100], ITER [232/1666] 
LOSS: 0.00084846, TIME: 13914.6s
STEP [96880], EPOCH [59/100], ITER [252/1666] 
LOSS: 0.00041867, TIME: 13917.5s
STEP [96900], EPOCH [59/100], ITER [272/1666] 
LOSS: 0.00047427, TIME: 13920.3s
STEP [96920], EPOCH [59/100], ITER [292/1666] 
LOSS: 0.00059107, TIME: 13923.2s
STEP [96940], EPOCH [59/100], ITER [312/1666] 
LOSS: 0.00068006, TIME: 13926.1s
STEP [96960], EPOCH [59/100], ITER [332/1666] 
LOSS: 0.00051120, TIME: 13928.9s
STEP [96980], EPOCH [59/100], ITER [352/1666] 
LOSS: 0.00058983, TIME: 13931.8s
STEP [97000], EPOCH [59/100], ITER [372/1666] 
LOSS: 0.00076743, TIME: 13934.6s
STEP [97020], EPOCH [59/100], ITER [392/1666] 
LOSS: 0.00083788, TIME: 13937.5s
STEP [97040], EPOCH [59/100], ITER [412/1666] 
LOSS: 0.00043052, TIME: 13940.4s
STEP [97060], EPOCH [59/100], ITER [432/1666] 
LOSS: 0.00041955, TIME: 13943.3s
STEP [97080], EPOCH [59/100], ITER [452/1666] 
LOSS: 0.00088654, TIME: 13946.1s
STEP [97100], EPOCH [59/100], ITER [472/1666] 
LOSS: 0.00041774, TIME: 13949.0s
STEP [97120], EPOCH [59/100], ITER [492/1666] 
LOSS: 0.00057110, TIME: 13951.8s
STEP [97140], EPOCH [59/100], ITER [512/1666] 
LOSS: 0.00033634, TIME: 13954.7s
STEP [97160], EPOCH [59/100], ITER [532/1666] 
LOSS: 0.00074064, TIME: 13957.5s
STEP [97180], EPOCH [59/100], ITER [552/1666] 
LOSS: 0.00052505, TIME: 13960.4s
STEP [97200], EPOCH [59/100], ITER [572/1666] 
LOSS: 0.00057764, TIME: 13963.2s
STEP [97220], EPOCH [59/100], ITER [592/1666] 
LOSS: 0.00032679, TIME: 13966.1s
STEP [97240], EPOCH [59/100], ITER [612/1666] 
LOSS: 0.00064254, TIME: 13968.9s
STEP [97260], EPOCH [59/100], ITER [632/1666] 
LOSS: 0.00064610, TIME: 13971.8s
STEP [97280], EPOCH [59/100], ITER [652/1666] 
LOSS: 0.00041293, TIME: 13974.6s
STEP [97300], EPOCH [59/100], ITER [672/1666] 
LOSS: 0.00044985, TIME: 13977.5s
STEP [97320], EPOCH [59/100], ITER [692/1666] 
LOSS: 0.00080420, TIME: 13980.4s
STEP [97340], EPOCH [59/100], ITER [712/1666] 
LOSS: 0.00054784, TIME: 13983.2s
STEP [97360], EPOCH [59/100], ITER [732/1666] 
LOSS: 0.00048227, TIME: 13986.1s
STEP [97380], EPOCH [59/100], ITER [752/1666] 
LOSS: 0.00054752, TIME: 13988.9s
STEP [97400], EPOCH [59/100], ITER [772/1666] 
LOSS: 0.00053751, TIME: 13991.8s
STEP [97420], EPOCH [59/100], ITER [792/1666] 
LOSS: 0.00044171, TIME: 13994.6s
STEP [97440], EPOCH [59/100], ITER [812/1666] 
LOSS: 0.00070474, TIME: 13997.5s
STEP [97460], EPOCH [59/100], ITER [832/1666] 
LOSS: 0.00034932, TIME: 14000.3s
STEP [97480], EPOCH [59/100], ITER [852/1666] 
LOSS: 0.00058724, TIME: 14003.2s
STEP [97500], EPOCH [59/100], ITER [872/1666] 
LOSS: 0.00087614, TIME: 14006.0s
STEP [97520], EPOCH [59/100], ITER [892/1666] 
LOSS: 0.00053715, TIME: 14008.9s
STEP [97540], EPOCH [59/100], ITER [912/1666] 
LOSS: 0.00091956, TIME: 14011.7s
STEP [97560], EPOCH [59/100], ITER [932/1666] 
LOSS: 0.00051237, TIME: 14014.6s
STEP [97580], EPOCH [59/100], ITER [952/1666] 
LOSS: 0.00063554, TIME: 14017.4s
STEP [97600], EPOCH [59/100], ITER [972/1666] 
LOSS: 0.00127921, TIME: 14020.3s
STEP [97620], EPOCH [59/100], ITER [992/1666] 
LOSS: 0.00033047, TIME: 14023.1s
STEP [97640], EPOCH [59/100], ITER [1012/1666] 
LOSS: 0.00055085, TIME: 14026.0s
STEP [97660], EPOCH [59/100], ITER [1032/1666] 
LOSS: 0.00070597, TIME: 14028.8s
STEP [97680], EPOCH [59/100], ITER [1052/1666] 
LOSS: 0.00102776, TIME: 14031.7s
STEP [97700], EPOCH [59/100], ITER [1072/1666] 
LOSS: 0.00060064, TIME: 14034.6s
STEP [97720], EPOCH [59/100], ITER [1092/1666] 
LOSS: 0.00054486, TIME: 14037.4s
STEP [97740], EPOCH [59/100], ITER [1112/1666] 
LOSS: 0.00074695, TIME: 14040.3s
STEP [97760], EPOCH [59/100], ITER [1132/1666] 
LOSS: 0.00046556, TIME: 14043.1s
STEP [97780], EPOCH [59/100], ITER [1152/1666] 
LOSS: 0.00054435, TIME: 14046.0s
STEP [97800], EPOCH [59/100], ITER [1172/1666] 
LOSS: 0.00050574, TIME: 14048.8s
STEP [97820], EPOCH [59/100], ITER [1192/1666] 
LOSS: 0.00061944, TIME: 14051.7s
STEP [97840], EPOCH [59/100], ITER [1212/1666] 
LOSS: 0.00050194, TIME: 14054.5s
STEP [97860], EPOCH [59/100], ITER [1232/1666] 
LOSS: 0.00043306, TIME: 14057.4s
STEP [97880], EPOCH [59/100], ITER [1252/1666] 
LOSS: 0.00060513, TIME: 14060.2s
STEP [97900], EPOCH [59/100], ITER [1272/1666] 
LOSS: 0.00035363, TIME: 14063.1s
STEP [97920], EPOCH [59/100], ITER [1292/1666] 
LOSS: 0.00061213, TIME: 14065.9s
STEP [97940], EPOCH [59/100], ITER [1312/1666] 
LOSS: 0.00061582, TIME: 14068.8s
STEP [97960], EPOCH [59/100], ITER [1332/1666] 
LOSS: 0.00081249, TIME: 14071.6s
STEP [97980], EPOCH [59/100], ITER [1352/1666] 
LOSS: 0.00084915, TIME: 14074.5s
STEP [98000], EPOCH [59/100], ITER [1372/1666] 
LOSS: 0.00044912, TIME: 14077.4s
STEP [98020], EPOCH [59/100], ITER [1392/1666] 
LOSS: 0.00060386, TIME: 14080.3s
STEP [98040], EPOCH [59/100], ITER [1412/1666] 
LOSS: 0.00064938, TIME: 14083.1s
STEP [98060], EPOCH [59/100], ITER [1432/1666] 
LOSS: 0.00058380, TIME: 14086.0s
STEP [98080], EPOCH [59/100], ITER [1452/1666] 
LOSS: 0.00075067, TIME: 14088.8s
STEP [98100], EPOCH [59/100], ITER [1472/1666] 
LOSS: 0.00068933, TIME: 14091.7s
STEP [98120], EPOCH [59/100], ITER [1492/1666] 
LOSS: 0.00059338, TIME: 14094.5s
STEP [98140], EPOCH [59/100], ITER [1512/1666] 
LOSS: 0.00045264, TIME: 14097.4s
STEP [98160], EPOCH [59/100], ITER [1532/1666] 
LOSS: 0.00092152, TIME: 14100.3s
STEP [98180], EPOCH [59/100], ITER [1552/1666] 
LOSS: 0.00069498, TIME: 14103.1s
STEP [98200], EPOCH [59/100], ITER [1572/1666] 
LOSS: 0.00047049, TIME: 14106.0s
STEP [98220], EPOCH [59/100], ITER [1592/1666] 
LOSS: 0.00068506, TIME: 14108.8s
STEP [98240], EPOCH [59/100], ITER [1612/1666] 
LOSS: 0.00075882, TIME: 14111.7s
STEP [98260], EPOCH [59/100], ITER [1632/1666] 
LOSS: 0.00037455, TIME: 14114.5s
STEP [98280], EPOCH [59/100], ITER [1652/1666] 
LOSS: 0.00044219, TIME: 14117.4s
STEP [98300], EPOCH [60/100], ITER [6/1666] 
LOSS: 0.00054695, TIME: 14121.6s
STEP [98320], EPOCH [60/100], ITER [26/1666] 
LOSS: 0.00079030, TIME: 14124.5s
STEP [98340], EPOCH [60/100], ITER [46/1666] 
LOSS: 0.00053767, TIME: 14127.3s
STEP [98360], EPOCH [60/100], ITER [66/1666] 
LOSS: 0.00066259, TIME: 14130.2s
STEP [98380], EPOCH [60/100], ITER [86/1666] 
LOSS: 0.00066287, TIME: 14133.0s
STEP [98400], EPOCH [60/100], ITER [106/1666] 
LOSS: 0.00065271, TIME: 14135.9s
STEP [98420], EPOCH [60/100], ITER [126/1666] 
LOSS: 0.00050764, TIME: 14138.7s
STEP [98440], EPOCH [60/100], ITER [146/1666] 
LOSS: 0.00071502, TIME: 14141.6s
STEP [98460], EPOCH [60/100], ITER [166/1666] 
LOSS: 0.00053616, TIME: 14144.5s
STEP [98480], EPOCH [60/100], ITER [186/1666] 
LOSS: 0.00031836, TIME: 14147.3s
STEP [98500], EPOCH [60/100], ITER [206/1666] 
LOSS: 0.00061317, TIME: 14150.2s
STEP [98520], EPOCH [60/100], ITER [226/1666] 
LOSS: 0.00098297, TIME: 14153.0s
STEP [98540], EPOCH [60/100], ITER [246/1666] 
LOSS: 0.00063391, TIME: 14155.9s
STEP [98560], EPOCH [60/100], ITER [266/1666] 
LOSS: 0.00061439, TIME: 14158.7s
STEP [98580], EPOCH [60/100], ITER [286/1666] 
LOSS: 0.00047144, TIME: 14161.6s
STEP [98600], EPOCH [60/100], ITER [306/1666] 
LOSS: 0.00040990, TIME: 14164.4s
STEP [98620], EPOCH [60/100], ITER [326/1666] 
LOSS: 0.00091701, TIME: 14167.3s
STEP [98640], EPOCH [60/100], ITER [346/1666] 
LOSS: 0.00053836, TIME: 14170.1s
STEP [98660], EPOCH [60/100], ITER [366/1666] 
LOSS: 0.00038031, TIME: 14173.0s
STEP [98680], EPOCH [60/100], ITER [386/1666] 
LOSS: 0.00032518, TIME: 14175.8s
STEP [98700], EPOCH [60/100], ITER [406/1666] 
LOSS: 0.00029773, TIME: 14178.7s
STEP [98720], EPOCH [60/100], ITER [426/1666] 
LOSS: 0.00046425, TIME: 14181.5s
STEP [98740], EPOCH [60/100], ITER [446/1666] 
LOSS: 0.00062497, TIME: 14184.4s
STEP [98760], EPOCH [60/100], ITER [466/1666] 
LOSS: 0.00045592, TIME: 14187.3s
STEP [98780], EPOCH [60/100], ITER [486/1666] 
LOSS: 0.00065141, TIME: 14190.1s
STEP [98800], EPOCH [60/100], ITER [506/1666] 
LOSS: 0.00081829, TIME: 14193.0s
STEP [98820], EPOCH [60/100], ITER [526/1666] 
LOSS: 0.00065730, TIME: 14195.8s
STEP [98840], EPOCH [60/100], ITER [546/1666] 
LOSS: 0.00046476, TIME: 14198.7s
STEP [98860], EPOCH [60/100], ITER [566/1666] 
LOSS: 0.00050198, TIME: 14201.5s
STEP [98880], EPOCH [60/100], ITER [586/1666] 
LOSS: 0.00044830, TIME: 14204.4s
STEP [98900], EPOCH [60/100], ITER [606/1666] 
LOSS: 0.00046878, TIME: 14207.2s
STEP [98920], EPOCH [60/100], ITER [626/1666] 
LOSS: 0.00052975, TIME: 14210.1s
STEP [98940], EPOCH [60/100], ITER [646/1666] 
LOSS: 0.00031880, TIME: 14212.9s
STEP [98960], EPOCH [60/100], ITER [666/1666] 
LOSS: 0.00050554, TIME: 14215.8s
STEP [98980], EPOCH [60/100], ITER [686/1666] 
LOSS: 0.00053980, TIME: 14218.6s
STEP [99000], EPOCH [60/100], ITER [706/1666] 
LOSS: 0.00057596, TIME: 14221.5s
STEP [99020], EPOCH [60/100], ITER [726/1666] 
LOSS: 0.00051977, TIME: 14224.4s
STEP [99040], EPOCH [60/100], ITER [746/1666] 
LOSS: 0.00071285, TIME: 14227.3s
STEP [99060], EPOCH [60/100], ITER [766/1666] 
LOSS: 0.00050089, TIME: 14230.1s
STEP [99080], EPOCH [60/100], ITER [786/1666] 
LOSS: 0.00093395, TIME: 14233.0s
STEP [99100], EPOCH [60/100], ITER [806/1666] 
LOSS: 0.00061043, TIME: 14235.8s
STEP [99120], EPOCH [60/100], ITER [826/1666] 
LOSS: 0.00070117, TIME: 14238.7s
STEP [99140], EPOCH [60/100], ITER [846/1666] 
LOSS: 0.00069212, TIME: 14241.6s
STEP [99160], EPOCH [60/100], ITER [866/1666] 
LOSS: 0.00057606, TIME: 14244.4s
STEP [99180], EPOCH [60/100], ITER [886/1666] 
LOSS: 0.00090006, TIME: 14247.3s
STEP [99200], EPOCH [60/100], ITER [906/1666] 
LOSS: 0.00065727, TIME: 14250.1s
STEP [99220], EPOCH [60/100], ITER [926/1666] 
LOSS: 0.00087300, TIME: 14253.0s
STEP [99240], EPOCH [60/100], ITER [946/1666] 
LOSS: 0.00099066, TIME: 14255.8s
STEP [99260], EPOCH [60/100], ITER [966/1666] 
LOSS: 0.00040789, TIME: 14258.7s
STEP [99280], EPOCH [60/100], ITER [986/1666] 
LOSS: 0.00041323, TIME: 14261.5s
STEP [99300], EPOCH [60/100], ITER [1006/1666] 
LOSS: 0.00057912, TIME: 14264.4s
STEP [99320], EPOCH [60/100], ITER [1026/1666] 
LOSS: 0.00069063, TIME: 14267.3s
STEP [99340], EPOCH [60/100], ITER [1046/1666] 
LOSS: 0.00053083, TIME: 14270.1s
STEP [99360], EPOCH [60/100], ITER [1066/1666] 
LOSS: 0.00051244, TIME: 14273.0s
STEP [99380], EPOCH [60/100], ITER [1086/1666] 
LOSS: 0.00062175, TIME: 14275.8s
STEP [99400], EPOCH [60/100], ITER [1106/1666] 
LOSS: 0.00064428, TIME: 14278.7s
STEP [99420], EPOCH [60/100], ITER [1126/1666] 
LOSS: 0.00081775, TIME: 14281.5s
STEP [99440], EPOCH [60/100], ITER [1146/1666] 
LOSS: 0.00040344, TIME: 14284.4s
STEP [99460], EPOCH [60/100], ITER [1166/1666] 
LOSS: 0.00066338, TIME: 14287.2s
STEP [99480], EPOCH [60/100], ITER [1186/1666] 
LOSS: 0.00076267, TIME: 14290.1s
STEP [99500], EPOCH [60/100], ITER [1206/1666] 
LOSS: 0.00050559, TIME: 14292.9s
STEP [99520], EPOCH [60/100], ITER [1226/1666] 
LOSS: 0.00053690, TIME: 14295.8s
STEP [99540], EPOCH [60/100], ITER [1246/1666] 
LOSS: 0.00039957, TIME: 14298.6s
STEP [99560], EPOCH [60/100], ITER [1266/1666] 
LOSS: 0.00055204, TIME: 14301.5s
STEP [99580], EPOCH [60/100], ITER [1286/1666] 
LOSS: 0.00124246, TIME: 14304.3s
STEP [99600], EPOCH [60/100], ITER [1306/1666] 
LOSS: 0.00070540, TIME: 14307.2s
STEP [99620], EPOCH [60/100], ITER [1326/1666] 
LOSS: 0.00051614, TIME: 14310.1s
STEP [99640], EPOCH [60/100], ITER [1346/1666] 
LOSS: 0.00075057, TIME: 14312.9s
STEP [99660], EPOCH [60/100], ITER [1366/1666] 
LOSS: 0.00033500, TIME: 14315.8s
STEP [99680], EPOCH [60/100], ITER [1386/1666] 
LOSS: 0.00079259, TIME: 14318.6s
STEP [99700], EPOCH [60/100], ITER [1406/1666] 
LOSS: 0.00079566, TIME: 14321.5s
STEP [99720], EPOCH [60/100], ITER [1426/1666] 
LOSS: 0.00051935, TIME: 14324.3s
STEP [99740], EPOCH [60/100], ITER [1446/1666] 
LOSS: 0.00046166, TIME: 14327.2s
STEP [99760], EPOCH [60/100], ITER [1466/1666] 
LOSS: 0.00076288, TIME: 14330.0s
STEP [99780], EPOCH [60/100], ITER [1486/1666] 
LOSS: 0.00049957, TIME: 14332.9s
STEP [99800], EPOCH [60/100], ITER [1506/1666] 
LOSS: 0.00052006, TIME: 14335.7s
STEP [99820], EPOCH [60/100], ITER [1526/1666] 
LOSS: 0.00080656, TIME: 14338.6s
STEP [99840], EPOCH [60/100], ITER [1546/1666] 
LOSS: 0.00045119, TIME: 14341.5s
STEP [99860], EPOCH [60/100], ITER [1566/1666] 
LOSS: 0.00049341, TIME: 14344.3s
STEP [99880], EPOCH [60/100], ITER [1586/1666] 
LOSS: 0.00052883, TIME: 14347.2s
STEP [99900], EPOCH [60/100], ITER [1606/1666] 
LOSS: 0.00064291, TIME: 14350.0s
STEP [99920], EPOCH [60/100], ITER [1626/1666] 
LOSS: 0.00073954, TIME: 14352.9s
STEP [99940], EPOCH [60/100], ITER [1646/1666] 
LOSS: 0.00067515, TIME: 14355.7s
STEP [99960], EPOCH [60/100], ITER [1666/1666] 
LOSS: 0.00054908, TIME: 14358.5s
STEP [99980], EPOCH [61/100], ITER [20/1666] 
LOSS: 0.00094028, TIME: 14362.9s
STEP [100000], EPOCH [61/100], ITER [40/1666] 
LOSS: 0.00038573, TIME: 14365.7s
STEP [100020], EPOCH [61/100], ITER [60/1666] 
LOSS: 0.00050214, TIME: 14368.7s
STEP [100040], EPOCH [61/100], ITER [80/1666] 
LOSS: 0.00056985, TIME: 14371.5s
STEP [100060], EPOCH [61/100], ITER [100/1666] 
LOSS: 0.00076911, TIME: 14374.4s
STEP [100080], EPOCH [61/100], ITER [120/1666] 
LOSS: 0.00083795, TIME: 14377.3s
STEP [100100], EPOCH [61/100], ITER [140/1666] 
LOSS: 0.00060269, TIME: 14380.1s
STEP [100120], EPOCH [61/100], ITER [160/1666] 
LOSS: 0.00044020, TIME: 14383.0s
STEP [100140], EPOCH [61/100], ITER [180/1666] 
LOSS: 0.00071526, TIME: 14385.8s
STEP [100160], EPOCH [61/100], ITER [200/1666] 
LOSS: 0.00058037, TIME: 14388.7s
STEP [100180], EPOCH [61/100], ITER [220/1666] 
LOSS: 0.00044786, TIME: 14391.5s
STEP [100200], EPOCH [61/100], ITER [240/1666] 
LOSS: 0.00048180, TIME: 14394.4s
STEP [100220], EPOCH [61/100], ITER [260/1666] 
LOSS: 0.00056596, TIME: 14397.2s
STEP [100240], EPOCH [61/100], ITER [280/1666] 
LOSS: 0.00060376, TIME: 14400.1s
STEP [100260], EPOCH [61/100], ITER [300/1666] 
LOSS: 0.00077115, TIME: 14403.0s
STEP [100280], EPOCH [61/100], ITER [320/1666] 
LOSS: 0.00068243, TIME: 14405.8s
STEP [100300], EPOCH [61/100], ITER [340/1666] 
LOSS: 0.00066291, TIME: 14408.7s
STEP [100320], EPOCH [61/100], ITER [360/1666] 
LOSS: 0.00052557, TIME: 14411.5s
STEP [100340], EPOCH [61/100], ITER [380/1666] 
LOSS: 0.00051335, TIME: 14414.4s
STEP [100360], EPOCH [61/100], ITER [400/1666] 
LOSS: 0.00052584, TIME: 14417.2s
STEP [100380], EPOCH [61/100], ITER [420/1666] 
LOSS: 0.00070496, TIME: 14420.1s
STEP [100400], EPOCH [61/100], ITER [440/1666] 
LOSS: 0.00086173, TIME: 14422.9s
STEP [100420], EPOCH [61/100], ITER [460/1666] 
LOSS: 0.00087165, TIME: 14425.8s
STEP [100440], EPOCH [61/100], ITER [480/1666] 
LOSS: 0.00059301, TIME: 14428.6s
STEP [100460], EPOCH [61/100], ITER [500/1666] 
LOSS: 0.00062346, TIME: 14431.5s
STEP [100480], EPOCH [61/100], ITER [520/1666] 
LOSS: 0.00061705, TIME: 14434.3s
STEP [100500], EPOCH [61/100], ITER [540/1666] 
LOSS: 0.00069598, TIME: 14437.2s
STEP [100520], EPOCH [61/100], ITER [560/1666] 
LOSS: 0.00069579, TIME: 14440.1s
STEP [100540], EPOCH [61/100], ITER [580/1666] 
LOSS: 0.00059964, TIME: 14442.9s
STEP [100560], EPOCH [61/100], ITER [600/1666] 
LOSS: 0.00071369, TIME: 14445.8s
STEP [100580], EPOCH [61/100], ITER [620/1666] 
LOSS: 0.00053737, TIME: 14448.6s
STEP [100600], EPOCH [61/100], ITER [640/1666] 
LOSS: 0.00038637, TIME: 14451.5s
STEP [100620], EPOCH [61/100], ITER [660/1666] 
LOSS: 0.00059624, TIME: 14454.3s
STEP [100640], EPOCH [61/100], ITER [680/1666] 
LOSS: 0.00105418, TIME: 14457.2s
STEP [100660], EPOCH [61/100], ITER [700/1666] 
LOSS: 0.00054042, TIME: 14460.0s
STEP [100680], EPOCH [61/100], ITER [720/1666] 
LOSS: 0.00069475, TIME: 14462.9s
STEP [100700], EPOCH [61/100], ITER [740/1666] 
LOSS: 0.00051089, TIME: 14465.7s
STEP [100720], EPOCH [61/100], ITER [760/1666] 
LOSS: 0.00056773, TIME: 14468.6s
STEP [100740], EPOCH [61/100], ITER [780/1666] 
LOSS: 0.00047577, TIME: 14471.5s
STEP [100760], EPOCH [61/100], ITER [800/1666] 
LOSS: 0.00042414, TIME: 14474.3s
STEP [100780], EPOCH [61/100], ITER [820/1666] 
LOSS: 0.00063236, TIME: 14477.2s
STEP [100800], EPOCH [61/100], ITER [840/1666] 
LOSS: 0.00066607, TIME: 14480.0s
STEP [100820], EPOCH [61/100], ITER [860/1666] 
LOSS: 0.00070896, TIME: 14482.9s
STEP [100840], EPOCH [61/100], ITER [880/1666] 
LOSS: 0.00084519, TIME: 14485.7s
STEP [100860], EPOCH [61/100], ITER [900/1666] 
LOSS: 0.00051735, TIME: 14488.6s
STEP [100880], EPOCH [61/100], ITER [920/1666] 
LOSS: 0.00100662, TIME: 14491.4s
STEP [100900], EPOCH [61/100], ITER [940/1666] 
LOSS: 0.00096543, TIME: 14494.3s
STEP [100920], EPOCH [61/100], ITER [960/1666] 
LOSS: 0.00048336, TIME: 14497.1s
STEP [100940], EPOCH [61/100], ITER [980/1666] 
LOSS: 0.00036384, TIME: 14500.0s
STEP [100960], EPOCH [61/100], ITER [1000/1666] 
LOSS: 0.00056326, TIME: 14502.8s
STEP [100980], EPOCH [61/100], ITER [1020/1666] 
LOSS: 0.00080706, TIME: 14505.7s
STEP [101000], EPOCH [61/100], ITER [1040/1666] 
LOSS: 0.00052838, TIME: 14508.5s
STEP [101020], EPOCH [61/100], ITER [1060/1666] 
LOSS: 0.00048355, TIME: 14511.5s
STEP [101040], EPOCH [61/100], ITER [1080/1666] 
LOSS: 0.00040306, TIME: 14514.3s
STEP [101060], EPOCH [61/100], ITER [1100/1666] 
LOSS: 0.00057524, TIME: 14517.2s
STEP [101080], EPOCH [61/100], ITER [1120/1666] 
LOSS: 0.00039737, TIME: 14520.0s
STEP [101100], EPOCH [61/100], ITER [1140/1666] 
LOSS: 0.00077941, TIME: 14522.9s
STEP [101120], EPOCH [61/100], ITER [1160/1666] 
LOSS: 0.00051701, TIME: 14525.8s
STEP [101140], EPOCH [61/100], ITER [1180/1666] 
LOSS: 0.00079019, TIME: 14528.6s
STEP [101160], EPOCH [61/100], ITER [1200/1666] 
LOSS: 0.00024513, TIME: 14531.5s
STEP [101180], EPOCH [61/100], ITER [1220/1666] 
LOSS: 0.00069349, TIME: 14534.3s
STEP [101200], EPOCH [61/100], ITER [1240/1666] 
LOSS: 0.00084932, TIME: 14537.2s
STEP [101220], EPOCH [61/100], ITER [1260/1666] 
LOSS: 0.00062173, TIME: 14540.0s
STEP [101240], EPOCH [61/100], ITER [1280/1666] 
LOSS: 0.00076026, TIME: 14542.9s
STEP [101260], EPOCH [61/100], ITER [1300/1666] 
LOSS: 0.00054458, TIME: 14545.7s
STEP [101280], EPOCH [61/100], ITER [1320/1666] 
LOSS: 0.00054622, TIME: 14548.6s
STEP [101300], EPOCH [61/100], ITER [1340/1666] 
LOSS: 0.00050423, TIME: 14551.4s
STEP [101320], EPOCH [61/100], ITER [1360/1666] 
LOSS: 0.00068615, TIME: 14554.3s
STEP [101340], EPOCH [61/100], ITER [1380/1666] 
LOSS: 0.00056436, TIME: 14557.1s
STEP [101360], EPOCH [61/100], ITER [1400/1666] 
LOSS: 0.00048715, TIME: 14560.0s
STEP [101380], EPOCH [61/100], ITER [1420/1666] 
LOSS: 0.00047360, TIME: 14562.9s
STEP [101400], EPOCH [61/100], ITER [1440/1666] 
LOSS: 0.00069311, TIME: 14565.7s
STEP [101420], EPOCH [61/100], ITER [1460/1666] 
LOSS: 0.00046973, TIME: 14568.6s
STEP [101440], EPOCH [61/100], ITER [1480/1666] 
LOSS: 0.00046540, TIME: 14571.4s
STEP [101460], EPOCH [61/100], ITER [1500/1666] 
LOSS: 0.00067599, TIME: 14574.3s
STEP [101480], EPOCH [61/100], ITER [1520/1666] 
LOSS: 0.00048454, TIME: 14577.1s
STEP [101500], EPOCH [61/100], ITER [1540/1666] 
LOSS: 0.00042586, TIME: 14580.0s
STEP [101520], EPOCH [61/100], ITER [1560/1666] 
LOSS: 0.00083851, TIME: 14582.8s
STEP [101540], EPOCH [61/100], ITER [1580/1666] 
LOSS: 0.00082061, TIME: 14585.7s
STEP [101560], EPOCH [61/100], ITER [1600/1666] 
LOSS: 0.00038094, TIME: 14588.5s
STEP [101580], EPOCH [61/100], ITER [1620/1666] 
LOSS: 0.00084567, TIME: 14591.4s
STEP [101600], EPOCH [61/100], ITER [1640/1666] 
LOSS: 0.00092103, TIME: 14594.2s
STEP [101620], EPOCH [61/100], ITER [1660/1666] 
LOSS: 0.00068736, TIME: 14597.1s
STEP [101640], EPOCH [62/100], ITER [14/1666] 
LOSS: 0.00068281, TIME: 14601.3s
STEP [101660], EPOCH [62/100], ITER [34/1666] 
LOSS: 0.00042885, TIME: 14604.2s
STEP [101680], EPOCH [62/100], ITER [54/1666] 
LOSS: 0.00054522, TIME: 14607.0s
STEP [101700], EPOCH [62/100], ITER [74/1666] 
LOSS: 0.00059904, TIME: 14609.9s
STEP [101720], EPOCH [62/100], ITER [94/1666] 
LOSS: 0.00085626, TIME: 14612.7s
STEP [101740], EPOCH [62/100], ITER [114/1666] 
LOSS: 0.00070971, TIME: 14615.6s
STEP [101760], EPOCH [62/100], ITER [134/1666] 
LOSS: 0.00066266, TIME: 14618.4s
STEP [101780], EPOCH [62/100], ITER [154/1666] 
LOSS: 0.00042284, TIME: 14621.3s
STEP [101800], EPOCH [62/100], ITER [174/1666] 
LOSS: 0.00068758, TIME: 14624.1s
STEP [101820], EPOCH [62/100], ITER [194/1666] 
LOSS: 0.00034911, TIME: 14627.0s
STEP [101840], EPOCH [62/100], ITER [214/1666] 
LOSS: 0.00060952, TIME: 14629.8s
STEP [101860], EPOCH [62/100], ITER [234/1666] 
LOSS: 0.00071059, TIME: 14632.7s
STEP [101880], EPOCH [62/100], ITER [254/1666] 
LOSS: 0.00078454, TIME: 14635.5s
STEP [101900], EPOCH [62/100], ITER [274/1666] 
LOSS: 0.00037147, TIME: 14638.4s
STEP [101920], EPOCH [62/100], ITER [294/1666] 
LOSS: 0.00051560, TIME: 14641.3s
STEP [101940], EPOCH [62/100], ITER [314/1666] 
LOSS: 0.00082976, TIME: 14644.1s
STEP [101960], EPOCH [62/100], ITER [334/1666] 
LOSS: 0.00073470, TIME: 14647.0s
STEP [101980], EPOCH [62/100], ITER [354/1666] 
LOSS: 0.00082248, TIME: 14649.8s
STEP [102000], EPOCH [62/100], ITER [374/1666] 
LOSS: 0.00054587, TIME: 14652.7s
STEP [102020], EPOCH [62/100], ITER [394/1666] 
LOSS: 0.00097523, TIME: 14655.6s
STEP [102040], EPOCH [62/100], ITER [414/1666] 
LOSS: 0.00036718, TIME: 14658.5s
STEP [102060], EPOCH [62/100], ITER [434/1666] 
LOSS: 0.00033809, TIME: 14661.3s
STEP [102080], EPOCH [62/100], ITER [454/1666] 
LOSS: 0.00053020, TIME: 14664.2s
STEP [102100], EPOCH [62/100], ITER [474/1666] 
LOSS: 0.00069701, TIME: 14667.0s
STEP [102120], EPOCH [62/100], ITER [494/1666] 
LOSS: 0.00051711, TIME: 14669.9s
STEP [102140], EPOCH [62/100], ITER [514/1666] 
LOSS: 0.00064545, TIME: 14672.7s
STEP [102160], EPOCH [62/100], ITER [534/1666] 
LOSS: 0.00033745, TIME: 14675.6s
STEP [102180], EPOCH [62/100], ITER [554/1666] 
LOSS: 0.00038471, TIME: 14678.4s
STEP [102200], EPOCH [62/100], ITER [574/1666] 
LOSS: 0.00054382, TIME: 14681.3s
STEP [102220], EPOCH [62/100], ITER [594/1666] 
LOSS: 0.00050632, TIME: 14684.1s
STEP [102240], EPOCH [62/100], ITER [614/1666] 
LOSS: 0.00075577, TIME: 14687.0s
STEP [102260], EPOCH [62/100], ITER [634/1666] 
LOSS: 0.00089045, TIME: 14689.8s
STEP [102280], EPOCH [62/100], ITER [654/1666] 
LOSS: 0.00066629, TIME: 14692.7s
STEP [102300], EPOCH [62/100], ITER [674/1666] 
LOSS: 0.00057263, TIME: 14695.5s
STEP [102320], EPOCH [62/100], ITER [694/1666] 
LOSS: 0.00047475, TIME: 14698.4s
STEP [102340], EPOCH [62/100], ITER [714/1666] 
LOSS: 0.00036677, TIME: 14701.2s
STEP [102360], EPOCH [62/100], ITER [734/1666] 
LOSS: 0.00057996, TIME: 14704.1s
STEP [102380], EPOCH [62/100], ITER [754/1666] 
LOSS: 0.00122730, TIME: 14706.9s
STEP [102400], EPOCH [62/100], ITER [774/1666] 
LOSS: 0.00059045, TIME: 14709.8s
STEP [102420], EPOCH [62/100], ITER [794/1666] 
LOSS: 0.00058054, TIME: 14712.7s
STEP [102440], EPOCH [62/100], ITER [814/1666] 
LOSS: 0.00040780, TIME: 14715.5s
STEP [102460], EPOCH [62/100], ITER [834/1666] 
LOSS: 0.00075577, TIME: 14718.4s
STEP [102480], EPOCH [62/100], ITER [854/1666] 
LOSS: 0.00044548, TIME: 14721.2s
STEP [102500], EPOCH [62/100], ITER [874/1666] 
LOSS: 0.00047882, TIME: 14724.1s
STEP [102520], EPOCH [62/100], ITER [894/1666] 
LOSS: 0.00056647, TIME: 14726.9s
STEP [102540], EPOCH [62/100], ITER [914/1666] 
LOSS: 0.00054823, TIME: 14729.8s
STEP [102560], EPOCH [62/100], ITER [934/1666] 
LOSS: 0.00048632, TIME: 14732.6s
STEP [102580], EPOCH [62/100], ITER [954/1666] 
LOSS: 0.00041796, TIME: 14735.5s
STEP [102600], EPOCH [62/100], ITER [974/1666] 
LOSS: 0.00046606, TIME: 14738.3s
STEP [102620], EPOCH [62/100], ITER [994/1666] 
LOSS: 0.00101179, TIME: 14741.2s
STEP [102640], EPOCH [62/100], ITER [1014/1666] 
LOSS: 0.00052952, TIME: 14744.0s
STEP [102660], EPOCH [62/100], ITER [1034/1666] 
LOSS: 0.00067684, TIME: 14746.9s
STEP [102680], EPOCH [62/100], ITER [1054/1666] 
LOSS: 0.00067320, TIME: 14749.8s
STEP [102700], EPOCH [62/100], ITER [1074/1666] 
LOSS: 0.00095812, TIME: 14752.6s
STEP [102720], EPOCH [62/100], ITER [1094/1666] 
LOSS: 0.00045123, TIME: 14755.5s
STEP [102740], EPOCH [62/100], ITER [1114/1666] 
LOSS: 0.00064718, TIME: 14758.3s
STEP [102760], EPOCH [62/100], ITER [1134/1666] 
LOSS: 0.00062277, TIME: 14761.2s
STEP [102780], EPOCH [62/100], ITER [1154/1666] 
LOSS: 0.00057922, TIME: 14764.0s
STEP [102800], EPOCH [62/100], ITER [1174/1666] 
LOSS: 0.00066312, TIME: 14766.9s
STEP [102820], EPOCH [62/100], ITER [1194/1666] 
LOSS: 0.00065117, TIME: 14769.7s
STEP [102840], EPOCH [62/100], ITER [1214/1666] 
LOSS: 0.00061617, TIME: 14772.6s
STEP [102860], EPOCH [62/100], ITER [1234/1666] 
LOSS: 0.00052209, TIME: 14775.4s
STEP [102880], EPOCH [62/100], ITER [1254/1666] 
LOSS: 0.00054441, TIME: 14778.3s
STEP [102900], EPOCH [62/100], ITER [1274/1666] 
LOSS: 0.00055354, TIME: 14781.1s
STEP [102920], EPOCH [62/100], ITER [1294/1666] 
LOSS: 0.00064908, TIME: 14784.0s
STEP [102940], EPOCH [62/100], ITER [1314/1666] 
LOSS: 0.00101385, TIME: 14786.8s
STEP [102960], EPOCH [62/100], ITER [1334/1666] 
LOSS: 0.00043392, TIME: 14789.7s
STEP [102980], EPOCH [62/100], ITER [1354/1666] 
LOSS: 0.00062270, TIME: 14792.5s
STEP [103000], EPOCH [62/100], ITER [1374/1666] 
LOSS: 0.00059665, TIME: 14795.4s
STEP [103020], EPOCH [62/100], ITER [1394/1666] 
LOSS: 0.00055565, TIME: 14798.3s
STEP [103040], EPOCH [62/100], ITER [1414/1666] 
LOSS: 0.00055481, TIME: 14801.2s
STEP [103060], EPOCH [62/100], ITER [1434/1666] 
LOSS: 0.00087951, TIME: 14804.0s
STEP [103080], EPOCH [62/100], ITER [1454/1666] 
LOSS: 0.00055874, TIME: 14806.9s
STEP [103100], EPOCH [62/100], ITER [1474/1666] 
LOSS: 0.00093095, TIME: 14809.7s
STEP [103120], EPOCH [62/100], ITER [1494/1666] 
LOSS: 0.00057417, TIME: 14812.6s
STEP [103140], EPOCH [62/100], ITER [1514/1666] 
LOSS: 0.00039095, TIME: 14815.5s
STEP [103160], EPOCH [62/100], ITER [1534/1666] 
LOSS: 0.00074133, TIME: 14818.3s
STEP [103180], EPOCH [62/100], ITER [1554/1666] 
LOSS: 0.00017547, TIME: 14821.2s
STEP [103200], EPOCH [62/100], ITER [1574/1666] 
LOSS: 0.00044380, TIME: 14824.0s
STEP [103220], EPOCH [62/100], ITER [1594/1666] 
LOSS: 0.00061626, TIME: 14826.9s
STEP [103240], EPOCH [62/100], ITER [1614/1666] 
LOSS: 0.00039931, TIME: 14829.7s
STEP [103260], EPOCH [62/100], ITER [1634/1666] 
LOSS: 0.00056941, TIME: 14832.6s
STEP [103280], EPOCH [62/100], ITER [1654/1666] 
LOSS: 0.00049846, TIME: 14835.4s
STEP [103300], EPOCH [63/100], ITER [8/1666] 
LOSS: 0.00078084, TIME: 14839.7s
STEP [103320], EPOCH [63/100], ITER [28/1666] 
LOSS: 0.00037532, TIME: 14842.6s
STEP [103340], EPOCH [63/100], ITER [48/1666] 
LOSS: 0.00041796, TIME: 14845.4s
STEP [103360], EPOCH [63/100], ITER [68/1666] 
LOSS: 0.00067632, TIME: 14848.3s
STEP [103380], EPOCH [63/100], ITER [88/1666] 
LOSS: 0.00033516, TIME: 14851.1s
STEP [103400], EPOCH [63/100], ITER [108/1666] 
LOSS: 0.00057987, TIME: 14854.0s
STEP [103420], EPOCH [63/100], ITER [128/1666] 
LOSS: 0.00056331, TIME: 14856.8s
STEP [103440], EPOCH [63/100], ITER [148/1666] 
LOSS: 0.00054176, TIME: 14859.7s
STEP [103460], EPOCH [63/100], ITER [168/1666] 
LOSS: 0.00057871, TIME: 14862.5s
STEP [103480], EPOCH [63/100], ITER [188/1666] 
LOSS: 0.00064550, TIME: 14865.4s
STEP [103500], EPOCH [63/100], ITER [208/1666] 
LOSS: 0.00073717, TIME: 14868.3s
STEP [103520], EPOCH [63/100], ITER [228/1666] 
LOSS: 0.00041187, TIME: 14871.1s
STEP [103540], EPOCH [63/100], ITER [248/1666] 
LOSS: 0.00072664, TIME: 14874.0s
STEP [103560], EPOCH [63/100], ITER [268/1666] 
LOSS: 0.00053704, TIME: 14876.8s
STEP [103580], EPOCH [63/100], ITER [288/1666] 
LOSS: 0.00061599, TIME: 14879.7s
STEP [103600], EPOCH [63/100], ITER [308/1666] 
LOSS: 0.00046394, TIME: 14882.5s
STEP [103620], EPOCH [63/100], ITER [328/1666] 
LOSS: 0.00036401, TIME: 14885.4s
STEP [103640], EPOCH [63/100], ITER [348/1666] 
LOSS: 0.00053178, TIME: 14888.2s
STEP [103660], EPOCH [63/100], ITER [368/1666] 
LOSS: 0.00059364, TIME: 14891.1s
STEP [103680], EPOCH [63/100], ITER [388/1666] 
LOSS: 0.00073856, TIME: 14893.9s
STEP [103700], EPOCH [63/100], ITER [408/1666] 
LOSS: 0.00053668, TIME: 14896.8s
STEP [103720], EPOCH [63/100], ITER [428/1666] 
LOSS: 0.00071008, TIME: 14899.6s
STEP [103740], EPOCH [63/100], ITER [448/1666] 
LOSS: 0.00081652, TIME: 14902.5s
STEP [103760], EPOCH [63/100], ITER [468/1666] 
LOSS: 0.00045921, TIME: 14905.3s
STEP [103780], EPOCH [63/100], ITER [488/1666] 
LOSS: 0.00049652, TIME: 14908.2s
STEP [103800], EPOCH [63/100], ITER [508/1666] 
LOSS: 0.00069144, TIME: 14911.0s
STEP [103820], EPOCH [63/100], ITER [528/1666] 
LOSS: 0.00056122, TIME: 14913.9s
STEP [103840], EPOCH [63/100], ITER [548/1666] 
LOSS: 0.00064098, TIME: 14916.7s
STEP [103860], EPOCH [63/100], ITER [568/1666] 
LOSS: 0.00060017, TIME: 14919.6s
STEP [103880], EPOCH [63/100], ITER [588/1666] 
LOSS: 0.00118409, TIME: 14922.5s
STEP [103900], EPOCH [63/100], ITER [608/1666] 
LOSS: 0.00063073, TIME: 14925.3s
STEP [103920], EPOCH [63/100], ITER [628/1666] 
LOSS: 0.00051611, TIME: 14928.2s
STEP [103940], EPOCH [63/100], ITER [648/1666] 
LOSS: 0.00038280, TIME: 14931.0s
STEP [103960], EPOCH [63/100], ITER [668/1666] 
LOSS: 0.00138929, TIME: 14933.9s
STEP [103980], EPOCH [63/100], ITER [688/1666] 
LOSS: 0.00046522, TIME: 14936.7s
STEP [104000], EPOCH [63/100], ITER [708/1666] 
LOSS: 0.00062741, TIME: 14939.6s
STEP [104020], EPOCH [63/100], ITER [728/1666] 
LOSS: 0.00064314, TIME: 14942.5s
STEP [104040], EPOCH [63/100], ITER [748/1666] 
LOSS: 0.00062065, TIME: 14945.4s
STEP [104060], EPOCH [63/100], ITER [768/1666] 
LOSS: 0.00058260, TIME: 14948.2s
STEP [104080], EPOCH [63/100], ITER [788/1666] 
LOSS: 0.00069079, TIME: 14951.1s
STEP [104100], EPOCH [63/100], ITER [808/1666] 
LOSS: 0.00044619, TIME: 14953.9s
STEP [104120], EPOCH [63/100], ITER [828/1666] 
LOSS: 0.00057674, TIME: 14956.8s
STEP [104140], EPOCH [63/100], ITER [848/1666] 
LOSS: 0.00058822, TIME: 14959.7s
STEP [104160], EPOCH [63/100], ITER [868/1666] 
LOSS: 0.00072113, TIME: 14962.5s
STEP [104180], EPOCH [63/100], ITER [888/1666] 
LOSS: 0.00061534, TIME: 14965.4s
STEP [104200], EPOCH [63/100], ITER [908/1666] 
LOSS: 0.00058507, TIME: 14968.2s
STEP [104220], EPOCH [63/100], ITER [928/1666] 
LOSS: 0.00047812, TIME: 14971.1s
STEP [104240], EPOCH [63/100], ITER [948/1666] 
LOSS: 0.00056195, TIME: 14973.9s
STEP [104260], EPOCH [63/100], ITER [968/1666] 
LOSS: 0.00027886, TIME: 14976.8s
STEP [104280], EPOCH [63/100], ITER [988/1666] 
LOSS: 0.00063162, TIME: 14979.6s
STEP [104300], EPOCH [63/100], ITER [1008/1666] 
LOSS: 0.00090848, TIME: 14982.5s
STEP [104320], EPOCH [63/100], ITER [1028/1666] 
LOSS: 0.00061864, TIME: 14985.3s
STEP [104340], EPOCH [63/100], ITER [1048/1666] 
LOSS: 0.00040339, TIME: 14988.2s
STEP [104360], EPOCH [63/100], ITER [1068/1666] 
LOSS: 0.00084352, TIME: 14991.0s
STEP [104380], EPOCH [63/100], ITER [1088/1666] 
LOSS: 0.00037482, TIME: 14993.9s
STEP [104400], EPOCH [63/100], ITER [1108/1666] 
LOSS: 0.00063912, TIME: 14996.7s
STEP [104420], EPOCH [63/100], ITER [1128/1666] 
LOSS: 0.00095445, TIME: 14999.6s
STEP [104440], EPOCH [63/100], ITER [1148/1666] 
LOSS: 0.00078582, TIME: 15002.5s
STEP [104460], EPOCH [63/100], ITER [1168/1666] 
LOSS: 0.00099580, TIME: 15005.3s
STEP [104480], EPOCH [63/100], ITER [1188/1666] 
LOSS: 0.00125119, TIME: 15008.2s
STEP [104500], EPOCH [63/100], ITER [1208/1666] 
LOSS: 0.00074923, TIME: 15011.0s
STEP [104520], EPOCH [63/100], ITER [1228/1666] 
LOSS: 0.00055305, TIME: 15013.9s
STEP [104540], EPOCH [63/100], ITER [1248/1666] 
LOSS: 0.00046093, TIME: 15016.7s
STEP [104560], EPOCH [63/100], ITER [1268/1666] 
LOSS: 0.00039036, TIME: 15019.6s
STEP [104580], EPOCH [63/100], ITER [1288/1666] 
LOSS: 0.00019809, TIME: 15022.4s
STEP [104600], EPOCH [63/100], ITER [1308/1666] 
LOSS: 0.00068200, TIME: 15025.3s
STEP [104620], EPOCH [63/100], ITER [1328/1666] 
LOSS: 0.00057503, TIME: 15028.2s
STEP [104640], EPOCH [63/100], ITER [1348/1666] 
LOSS: 0.00056004, TIME: 15031.0s
STEP [104660], EPOCH [63/100], ITER [1368/1666] 
LOSS: 0.00040454, TIME: 15033.9s
STEP [104680], EPOCH [63/100], ITER [1388/1666] 
LOSS: 0.00059107, TIME: 15036.7s
STEP [104700], EPOCH [63/100], ITER [1408/1666] 
LOSS: 0.00044581, TIME: 15039.6s
STEP [104720], EPOCH [63/100], ITER [1428/1666] 
LOSS: 0.00068113, TIME: 15042.4s
STEP [104740], EPOCH [63/100], ITER [1448/1666] 
LOSS: 0.00085017, TIME: 15045.3s
STEP [104760], EPOCH [63/100], ITER [1468/1666] 
LOSS: 0.00062172, TIME: 15048.1s
STEP [104780], EPOCH [63/100], ITER [1488/1666] 
LOSS: 0.00079746, TIME: 15051.0s
STEP [104800], EPOCH [63/100], ITER [1508/1666] 
LOSS: 0.00062252, TIME: 15053.8s
STEP [104820], EPOCH [63/100], ITER [1528/1666] 
LOSS: 0.00078288, TIME: 15056.7s
STEP [104840], EPOCH [63/100], ITER [1548/1666] 
LOSS: 0.00041224, TIME: 15059.5s
STEP [104860], EPOCH [63/100], ITER [1568/1666] 
LOSS: 0.00030222, TIME: 15062.4s
STEP [104880], EPOCH [63/100], ITER [1588/1666] 
LOSS: 0.00099705, TIME: 15065.2s
STEP [104900], EPOCH [63/100], ITER [1608/1666] 
LOSS: 0.00074401, TIME: 15068.1s
STEP [104920], EPOCH [63/100], ITER [1628/1666] 
LOSS: 0.00064742, TIME: 15071.0s
STEP [104940], EPOCH [63/100], ITER [1648/1666] 
LOSS: 0.00069505, TIME: 15073.8s
STEP [104960], EPOCH [64/100], ITER [2/1666] 
LOSS: 0.00040357, TIME: 15078.1s
STEP [104980], EPOCH [64/100], ITER [22/1666] 
LOSS: 0.00056981, TIME: 15080.9s
STEP [105000], EPOCH [64/100], ITER [42/1666] 
LOSS: 0.00065197, TIME: 15083.8s
STEP [105020], EPOCH [64/100], ITER [62/1666] 
LOSS: 0.00057826, TIME: 15086.7s
STEP [105040], EPOCH [64/100], ITER [82/1666] 
LOSS: 0.00087068, TIME: 15089.6s
STEP [105060], EPOCH [64/100], ITER [102/1666] 
LOSS: 0.00060775, TIME: 15092.4s
STEP [105080], EPOCH [64/100], ITER [122/1666] 
LOSS: 0.00036560, TIME: 15095.3s
STEP [105100], EPOCH [64/100], ITER [142/1666] 
LOSS: 0.00030523, TIME: 15098.1s
STEP [105120], EPOCH [64/100], ITER [162/1666] 
LOSS: 0.00066170, TIME: 15101.0s
STEP [105140], EPOCH [64/100], ITER [182/1666] 
LOSS: 0.00065647, TIME: 15103.8s
STEP [105160], EPOCH [64/100], ITER [202/1666] 
LOSS: 0.00061293, TIME: 15106.7s
STEP [105180], EPOCH [64/100], ITER [222/1666] 
LOSS: 0.00095409, TIME: 15109.5s
STEP [105200], EPOCH [64/100], ITER [242/1666] 
LOSS: 0.00065061, TIME: 15112.4s
STEP [105220], EPOCH [64/100], ITER [262/1666] 
LOSS: 0.00062366, TIME: 15115.2s
STEP [105240], EPOCH [64/100], ITER [282/1666] 
LOSS: 0.00043401, TIME: 15118.1s
STEP [105260], EPOCH [64/100], ITER [302/1666] 
LOSS: 0.00067880, TIME: 15120.9s
STEP [105280], EPOCH [64/100], ITER [322/1666] 
LOSS: 0.00051756, TIME: 15123.8s
STEP [105300], EPOCH [64/100], ITER [342/1666] 
LOSS: 0.00074941, TIME: 15126.6s
STEP [105320], EPOCH [64/100], ITER [362/1666] 
LOSS: 0.00073296, TIME: 15129.5s
STEP [105340], EPOCH [64/100], ITER [382/1666] 
LOSS: 0.00120659, TIME: 15132.3s
STEP [105360], EPOCH [64/100], ITER [402/1666] 
LOSS: 0.00101235, TIME: 15135.2s
STEP [105380], EPOCH [64/100], ITER [422/1666] 
LOSS: 0.00052701, TIME: 15138.0s
STEP [105400], EPOCH [64/100], ITER [442/1666] 
LOSS: 0.00043556, TIME: 15140.9s
STEP [105420], EPOCH [64/100], ITER [462/1666] 
LOSS: 0.00063773, TIME: 15143.8s
STEP [105440], EPOCH [64/100], ITER [482/1666] 
LOSS: 0.00061345, TIME: 15146.6s
STEP [105460], EPOCH [64/100], ITER [502/1666] 
LOSS: 0.00065603, TIME: 15149.5s
STEP [105480], EPOCH [64/100], ITER [522/1666] 
LOSS: 0.00059697, TIME: 15152.3s
STEP [105500], EPOCH [64/100], ITER [542/1666] 
LOSS: 0.00088320, TIME: 15155.2s
STEP [105520], EPOCH [64/100], ITER [562/1666] 
LOSS: 0.00044011, TIME: 15158.0s
STEP [105540], EPOCH [64/100], ITER [582/1666] 
LOSS: 0.00054784, TIME: 15160.9s
STEP [105560], EPOCH [64/100], ITER [602/1666] 
LOSS: 0.00048965, TIME: 15163.7s
STEP [105580], EPOCH [64/100], ITER [622/1666] 
LOSS: 0.00087449, TIME: 15166.6s
STEP [105600], EPOCH [64/100], ITER [642/1666] 
LOSS: 0.00085897, TIME: 15169.4s
STEP [105620], EPOCH [64/100], ITER [662/1666] 
LOSS: 0.00044545, TIME: 15172.3s
STEP [105640], EPOCH [64/100], ITER [682/1666] 
LOSS: 0.00057277, TIME: 15175.1s
STEP [105660], EPOCH [64/100], ITER [702/1666] 
LOSS: 0.00046216, TIME: 15178.0s
STEP [105680], EPOCH [64/100], ITER [722/1666] 
LOSS: 0.00089311, TIME: 15180.8s
STEP [105700], EPOCH [64/100], ITER [742/1666] 
LOSS: 0.00032646, TIME: 15183.7s
STEP [105720], EPOCH [64/100], ITER [762/1666] 
LOSS: 0.00044253, TIME: 15186.5s
STEP [105740], EPOCH [64/100], ITER [782/1666] 
LOSS: 0.00040611, TIME: 15189.4s
STEP [105760], EPOCH [64/100], ITER [802/1666] 
LOSS: 0.00049651, TIME: 15192.2s
STEP [105780], EPOCH [64/100], ITER [822/1666] 
LOSS: 0.00053768, TIME: 15195.1s
STEP [105800], EPOCH [64/100], ITER [842/1666] 
LOSS: 0.00088517, TIME: 15197.9s
STEP [105820], EPOCH [64/100], ITER [862/1666] 
LOSS: 0.00067812, TIME: 15200.8s
STEP [105840], EPOCH [64/100], ITER [882/1666] 
LOSS: 0.00039354, TIME: 15203.6s
STEP [105860], EPOCH [64/100], ITER [902/1666] 
LOSS: 0.00081202, TIME: 15206.5s
STEP [105880], EPOCH [64/100], ITER [922/1666] 
LOSS: 0.00040750, TIME: 15209.4s
STEP [105900], EPOCH [64/100], ITER [942/1666] 
LOSS: 0.00047217, TIME: 15212.2s
STEP [105920], EPOCH [64/100], ITER [962/1666] 
LOSS: 0.00051339, TIME: 15215.1s
STEP [105940], EPOCH [64/100], ITER [982/1666] 
LOSS: 0.00062478, TIME: 15217.9s
STEP [105960], EPOCH [64/100], ITER [1002/1666] 
LOSS: 0.00037078, TIME: 15220.8s
STEP [105980], EPOCH [64/100], ITER [1022/1666] 
LOSS: 0.00069633, TIME: 15223.6s
STEP [106000], EPOCH [64/100], ITER [1042/1666] 
LOSS: 0.00056725, TIME: 15226.5s
STEP [106020], EPOCH [64/100], ITER [1062/1666] 
LOSS: 0.00050584, TIME: 15229.4s
STEP [106040], EPOCH [64/100], ITER [1082/1666] 
LOSS: 0.00086715, TIME: 15232.3s
STEP [106060], EPOCH [64/100], ITER [1102/1666] 
LOSS: 0.00050241, TIME: 15235.1s
STEP [106080], EPOCH [64/100], ITER [1122/1666] 
LOSS: 0.00068312, TIME: 15238.0s
STEP [106100], EPOCH [64/100], ITER [1142/1666] 
LOSS: 0.00059505, TIME: 15240.8s
STEP [106120], EPOCH [64/100], ITER [1162/1666] 
LOSS: 0.00065032, TIME: 15243.7s
STEP [106140], EPOCH [64/100], ITER [1182/1666] 
LOSS: 0.00058665, TIME: 15246.5s
STEP [106160], EPOCH [64/100], ITER [1202/1666] 
LOSS: 0.00040931, TIME: 15249.4s
STEP [106180], EPOCH [64/100], ITER [1222/1666] 
LOSS: 0.00071652, TIME: 15252.2s
STEP [106200], EPOCH [64/100], ITER [1242/1666] 
LOSS: 0.00064629, TIME: 15255.1s
STEP [106220], EPOCH [64/100], ITER [1262/1666] 
LOSS: 0.00035722, TIME: 15257.9s
STEP [106240], EPOCH [64/100], ITER [1282/1666] 
LOSS: 0.00068086, TIME: 15260.8s
STEP [106260], EPOCH [64/100], ITER [1302/1666] 
LOSS: 0.00099819, TIME: 15263.7s
STEP [106280], EPOCH [64/100], ITER [1322/1666] 
LOSS: 0.00068793, TIME: 15266.5s
STEP [106300], EPOCH [64/100], ITER [1342/1666] 
LOSS: 0.00033702, TIME: 15269.4s
STEP [106320], EPOCH [64/100], ITER [1362/1666] 
LOSS: 0.00059719, TIME: 15272.2s
STEP [106340], EPOCH [64/100], ITER [1382/1666] 
LOSS: 0.00063857, TIME: 15275.1s
STEP [106360], EPOCH [64/100], ITER [1402/1666] 
LOSS: 0.00038572, TIME: 15277.9s
STEP [106380], EPOCH [64/100], ITER [1422/1666] 
LOSS: 0.00028704, TIME: 15280.8s
STEP [106400], EPOCH [64/100], ITER [1442/1666] 
LOSS: 0.00059867, TIME: 15283.6s
STEP [106420], EPOCH [64/100], ITER [1462/1666] 
LOSS: 0.00078582, TIME: 15286.5s
STEP [106440], EPOCH [64/100], ITER [1482/1666] 
LOSS: 0.00075986, TIME: 15289.3s
STEP [106460], EPOCH [64/100], ITER [1502/1666] 
LOSS: 0.00046427, TIME: 15292.2s
STEP [106480], EPOCH [64/100], ITER [1522/1666] 
LOSS: 0.00045250, TIME: 15295.0s
STEP [106500], EPOCH [64/100], ITER [1542/1666] 
LOSS: 0.00061099, TIME: 15297.9s
STEP [106520], EPOCH [64/100], ITER [1562/1666] 
LOSS: 0.00095455, TIME: 15300.8s
STEP [106540], EPOCH [64/100], ITER [1582/1666] 
LOSS: 0.00064489, TIME: 15303.6s
STEP [106560], EPOCH [64/100], ITER [1602/1666] 
LOSS: 0.00072055, TIME: 15306.5s
STEP [106580], EPOCH [64/100], ITER [1622/1666] 
LOSS: 0.00059822, TIME: 15309.3s
STEP [106600], EPOCH [64/100], ITER [1642/1666] 
LOSS: 0.00065493, TIME: 15312.2s
STEP [106620], EPOCH [64/100], ITER [1662/1666] 
LOSS: 0.00052479, TIME: 15315.0s
STEP [106640], EPOCH [65/100], ITER [16/1666] 
LOSS: 0.00064804, TIME: 15319.2s
STEP [106660], EPOCH [65/100], ITER [36/1666] 
LOSS: 0.00053874, TIME: 15322.1s
STEP [106680], EPOCH [65/100], ITER [56/1666] 
LOSS: 0.00052738, TIME: 15324.9s
STEP [106700], EPOCH [65/100], ITER [76/1666] 
LOSS: 0.00054593, TIME: 15327.8s
STEP [106720], EPOCH [65/100], ITER [96/1666] 
LOSS: 0.00085627, TIME: 15330.7s
STEP [106740], EPOCH [65/100], ITER [116/1666] 
LOSS: 0.00076375, TIME: 15333.5s
STEP [106760], EPOCH [65/100], ITER [136/1666] 
LOSS: 0.00075224, TIME: 15336.4s
STEP [106780], EPOCH [65/100], ITER [156/1666] 
LOSS: 0.00097342, TIME: 15339.2s
STEP [106800], EPOCH [65/100], ITER [176/1666] 
LOSS: 0.00056102, TIME: 15342.1s
STEP [106820], EPOCH [65/100], ITER [196/1666] 
LOSS: 0.00056293, TIME: 15344.9s
STEP [106840], EPOCH [65/100], ITER [216/1666] 
LOSS: 0.00047672, TIME: 15347.8s
STEP [106860], EPOCH [65/100], ITER [236/1666] 
LOSS: 0.00072358, TIME: 15350.6s
STEP [106880], EPOCH [65/100], ITER [256/1666] 
LOSS: 0.00043580, TIME: 15353.5s
STEP [106900], EPOCH [65/100], ITER [276/1666] 
LOSS: 0.00095458, TIME: 15356.3s
STEP [106920], EPOCH [65/100], ITER [296/1666] 
LOSS: 0.00028519, TIME: 15359.2s
STEP [106940], EPOCH [65/100], ITER [316/1666] 
LOSS: 0.00045617, TIME: 15362.0s
STEP [106960], EPOCH [65/100], ITER [336/1666] 
LOSS: 0.00046794, TIME: 15364.9s
STEP [106980], EPOCH [65/100], ITER [356/1666] 
LOSS: 0.00060942, TIME: 15367.7s
STEP [107000], EPOCH [65/100], ITER [376/1666] 
LOSS: 0.00062800, TIME: 15370.6s
STEP [107020], EPOCH [65/100], ITER [396/1666] 
LOSS: 0.00056152, TIME: 15373.5s
STEP [107040], EPOCH [65/100], ITER [416/1666] 
LOSS: 0.00070239, TIME: 15376.4s
STEP [107060], EPOCH [65/100], ITER [436/1666] 
LOSS: 0.00073171, TIME: 15379.2s
STEP [107080], EPOCH [65/100], ITER [456/1666] 
LOSS: 0.00071972, TIME: 15382.1s
STEP [107100], EPOCH [65/100], ITER [476/1666] 
LOSS: 0.00068643, TIME: 15384.9s
STEP [107120], EPOCH [65/100], ITER [496/1666] 
LOSS: 0.00066794, TIME: 15387.8s
STEP [107140], EPOCH [65/100], ITER [516/1666] 
LOSS: 0.00066431, TIME: 15390.6s
STEP [107160], EPOCH [65/100], ITER [536/1666] 
LOSS: 0.00057644, TIME: 15393.5s
STEP [107180], EPOCH [65/100], ITER [556/1666] 
LOSS: 0.00052944, TIME: 15396.3s
STEP [107200], EPOCH [65/100], ITER [576/1666] 
LOSS: 0.00062770, TIME: 15399.2s
STEP [107220], EPOCH [65/100], ITER [596/1666] 
LOSS: 0.00063909, TIME: 15402.0s
STEP [107240], EPOCH [65/100], ITER [616/1666] 
LOSS: 0.00074920, TIME: 15404.9s
STEP [107260], EPOCH [65/100], ITER [636/1666] 
LOSS: 0.00070085, TIME: 15407.7s
STEP [107280], EPOCH [65/100], ITER [656/1666] 
LOSS: 0.00051387, TIME: 15410.6s
STEP [107300], EPOCH [65/100], ITER [676/1666] 
LOSS: 0.00067679, TIME: 15413.4s
STEP [107320], EPOCH [65/100], ITER [696/1666] 
LOSS: 0.00057416, TIME: 15416.3s
STEP [107340], EPOCH [65/100], ITER [716/1666] 
LOSS: 0.00070920, TIME: 15419.1s
STEP [107360], EPOCH [65/100], ITER [736/1666] 
LOSS: 0.00045091, TIME: 15422.0s
STEP [107380], EPOCH [65/100], ITER [756/1666] 
LOSS: 0.00087583, TIME: 15424.8s
STEP [107400], EPOCH [65/100], ITER [776/1666] 
LOSS: 0.00043419, TIME: 15427.7s
STEP [107420], EPOCH [65/100], ITER [796/1666] 
LOSS: 0.00055408, TIME: 15430.5s
STEP [107440], EPOCH [65/100], ITER [816/1666] 
LOSS: 0.00047975, TIME: 15433.4s
STEP [107460], EPOCH [65/100], ITER [836/1666] 
LOSS: 0.00025882, TIME: 15436.2s
STEP [107480], EPOCH [65/100], ITER [856/1666] 
LOSS: 0.00073286, TIME: 15439.1s
STEP [107500], EPOCH [65/100], ITER [876/1666] 
LOSS: 0.00038351, TIME: 15441.9s
STEP [107520], EPOCH [65/100], ITER [896/1666] 
LOSS: 0.00050961, TIME: 15444.8s
STEP [107540], EPOCH [65/100], ITER [916/1666] 
LOSS: 0.00046590, TIME: 15447.6s
STEP [107560], EPOCH [65/100], ITER [936/1666] 
LOSS: 0.00125463, TIME: 15450.5s
STEP [107580], EPOCH [65/100], ITER [956/1666] 
LOSS: 0.00108209, TIME: 15453.3s
STEP [107600], EPOCH [65/100], ITER [976/1666] 
LOSS: 0.00068889, TIME: 15456.2s
STEP [107620], EPOCH [65/100], ITER [996/1666] 
LOSS: 0.00061168, TIME: 15459.0s
STEP [107640], EPOCH [65/100], ITER [1016/1666] 
LOSS: 0.00040652, TIME: 15461.9s
STEP [107660], EPOCH [65/100], ITER [1036/1666] 
LOSS: 0.00050967, TIME: 15464.7s
STEP [107680], EPOCH [65/100], ITER [1056/1666] 
LOSS: 0.00060326, TIME: 15467.6s
STEP [107700], EPOCH [65/100], ITER [1076/1666] 
LOSS: 0.00053476, TIME: 15470.4s
STEP [107720], EPOCH [65/100], ITER [1096/1666] 
LOSS: 0.00067652, TIME: 15473.3s
STEP [107740], EPOCH [65/100], ITER [1116/1666] 
LOSS: 0.00057041, TIME: 15476.1s
STEP [107760], EPOCH [65/100], ITER [1136/1666] 
LOSS: 0.00069469, TIME: 15479.0s
STEP [107780], EPOCH [65/100], ITER [1156/1666] 
LOSS: 0.00076681, TIME: 15481.8s
STEP [107800], EPOCH [65/100], ITER [1176/1666] 
LOSS: 0.00053495, TIME: 15484.7s
STEP [107820], EPOCH [65/100], ITER [1196/1666] 
LOSS: 0.00106931, TIME: 15487.5s
STEP [107840], EPOCH [65/100], ITER [1216/1666] 
LOSS: 0.00083667, TIME: 15490.4s
STEP [107860], EPOCH [65/100], ITER [1236/1666] 
LOSS: 0.00089571, TIME: 15493.3s
STEP [107880], EPOCH [65/100], ITER [1256/1666] 
LOSS: 0.00046776, TIME: 15496.1s
STEP [107900], EPOCH [65/100], ITER [1276/1666] 
LOSS: 0.00055668, TIME: 15499.0s
STEP [107920], EPOCH [65/100], ITER [1296/1666] 
LOSS: 0.00044405, TIME: 15501.8s
STEP [107940], EPOCH [65/100], ITER [1316/1666] 
LOSS: 0.00064128, TIME: 15504.7s
STEP [107960], EPOCH [65/100], ITER [1336/1666] 
LOSS: 0.00052415, TIME: 15507.5s
STEP [107980], EPOCH [65/100], ITER [1356/1666] 
LOSS: 0.00064505, TIME: 15510.4s
STEP [108000], EPOCH [65/100], ITER [1376/1666] 
LOSS: 0.00045454, TIME: 15513.2s
STEP [108020], EPOCH [65/100], ITER [1396/1666] 
LOSS: 0.00047494, TIME: 15516.1s
STEP [108040], EPOCH [65/100], ITER [1416/1666] 
LOSS: 0.00083070, TIME: 15519.0s
STEP [108060], EPOCH [65/100], ITER [1436/1666] 
LOSS: 0.00040531, TIME: 15521.8s
STEP [108080], EPOCH [65/100], ITER [1456/1666] 
LOSS: 0.00130269, TIME: 15524.7s
STEP [108100], EPOCH [65/100], ITER [1476/1666] 
LOSS: 0.00056092, TIME: 15527.5s
STEP [108120], EPOCH [65/100], ITER [1496/1666] 
LOSS: 0.00059439, TIME: 15530.4s
STEP [108140], EPOCH [65/100], ITER [1516/1666] 
LOSS: 0.00078335, TIME: 15533.2s
STEP [108160], EPOCH [65/100], ITER [1536/1666] 
LOSS: 0.00065603, TIME: 15536.1s
STEP [108180], EPOCH [65/100], ITER [1556/1666] 
LOSS: 0.00059542, TIME: 15538.9s
STEP [108200], EPOCH [65/100], ITER [1576/1666] 
LOSS: 0.00051041, TIME: 15541.8s
STEP [108220], EPOCH [65/100], ITER [1596/1666] 
LOSS: 0.00073622, TIME: 15544.6s
STEP [108240], EPOCH [65/100], ITER [1616/1666] 
LOSS: 0.00053871, TIME: 15547.5s
STEP [108260], EPOCH [65/100], ITER [1636/1666] 
LOSS: 0.00072478, TIME: 15550.4s
STEP [108280], EPOCH [65/100], ITER [1656/1666] 
LOSS: 0.00065752, TIME: 15553.2s
STEP [108300], EPOCH [66/100], ITER [10/1666] 
LOSS: 0.00043447, TIME: 15557.4s
STEP [108320], EPOCH [66/100], ITER [30/1666] 
LOSS: 0.00062862, TIME: 15560.3s
STEP [108340], EPOCH [66/100], ITER [50/1666] 
LOSS: 0.00083802, TIME: 15563.1s
STEP [108360], EPOCH [66/100], ITER [70/1666] 
LOSS: 0.00082587, TIME: 15566.0s
STEP [108380], EPOCH [66/100], ITER [90/1666] 
LOSS: 0.00061387, TIME: 15568.8s
STEP [108400], EPOCH [66/100], ITER [110/1666] 
LOSS: 0.00048564, TIME: 15571.7s
STEP [108420], EPOCH [66/100], ITER [130/1666] 
LOSS: 0.00073889, TIME: 15574.5s
STEP [108440], EPOCH [66/100], ITER [150/1666] 
LOSS: 0.00054392, TIME: 15577.4s
STEP [108460], EPOCH [66/100], ITER [170/1666] 
LOSS: 0.00064259, TIME: 15580.2s
STEP [108480], EPOCH [66/100], ITER [190/1666] 
LOSS: 0.00045952, TIME: 15583.1s
STEP [108500], EPOCH [66/100], ITER [210/1666] 
LOSS: 0.00069096, TIME: 15585.9s
STEP [108520], EPOCH [66/100], ITER [230/1666] 
LOSS: 0.00068415, TIME: 15588.8s
STEP [108540], EPOCH [66/100], ITER [250/1666] 
LOSS: 0.00087680, TIME: 15591.6s
STEP [108560], EPOCH [66/100], ITER [270/1666] 
LOSS: 0.00067114, TIME: 15594.5s
STEP [108580], EPOCH [66/100], ITER [290/1666] 
LOSS: 0.00076665, TIME: 15597.4s
STEP [108600], EPOCH [66/100], ITER [310/1666] 
LOSS: 0.00083971, TIME: 15600.2s
STEP [108620], EPOCH [66/100], ITER [330/1666] 
LOSS: 0.00066841, TIME: 15603.1s
STEP [108640], EPOCH [66/100], ITER [350/1666] 
LOSS: 0.00076924, TIME: 15605.9s
STEP [108660], EPOCH [66/100], ITER [370/1666] 
LOSS: 0.00071883, TIME: 15608.8s
STEP [108680], EPOCH [66/100], ITER [390/1666] 
LOSS: 0.00073575, TIME: 15611.6s
STEP [108700], EPOCH [66/100], ITER [410/1666] 
LOSS: 0.00036774, TIME: 15614.5s
STEP [108720], EPOCH [66/100], ITER [430/1666] 
LOSS: 0.00046834, TIME: 15617.3s
STEP [108740], EPOCH [66/100], ITER [450/1666] 
LOSS: 0.00067994, TIME: 15620.2s
STEP [108760], EPOCH [66/100], ITER [470/1666] 
LOSS: 0.00049482, TIME: 15623.0s
STEP [108780], EPOCH [66/100], ITER [490/1666] 
LOSS: 0.00061973, TIME: 15625.9s
STEP [108800], EPOCH [66/100], ITER [510/1666] 
LOSS: 0.00054943, TIME: 15628.7s
STEP [108820], EPOCH [66/100], ITER [530/1666] 
LOSS: 0.00055107, TIME: 15631.6s
STEP [108840], EPOCH [66/100], ITER [550/1666] 
LOSS: 0.00080559, TIME: 15634.4s
STEP [108860], EPOCH [66/100], ITER [570/1666] 
LOSS: 0.00048258, TIME: 15637.3s
STEP [108880], EPOCH [66/100], ITER [590/1666] 
LOSS: 0.00041383, TIME: 15640.1s
STEP [108900], EPOCH [66/100], ITER [610/1666] 
LOSS: 0.00078315, TIME: 15643.0s
STEP [108920], EPOCH [66/100], ITER [630/1666] 
LOSS: 0.00067156, TIME: 15645.8s
STEP [108940], EPOCH [66/100], ITER [650/1666] 
LOSS: 0.00043730, TIME: 15648.7s
STEP [108960], EPOCH [66/100], ITER [670/1666] 
LOSS: 0.00055656, TIME: 15651.5s
STEP [108980], EPOCH [66/100], ITER [690/1666] 
LOSS: 0.00085479, TIME: 15654.4s
STEP [109000], EPOCH [66/100], ITER [710/1666] 
LOSS: 0.00054986, TIME: 15657.2s
STEP [109020], EPOCH [66/100], ITER [730/1666] 
LOSS: 0.00080311, TIME: 15660.2s
STEP [109040], EPOCH [66/100], ITER [750/1666] 
LOSS: 0.00086121, TIME: 15663.0s
STEP [109060], EPOCH [66/100], ITER [770/1666] 
LOSS: 0.00058857, TIME: 15665.9s
STEP [109080], EPOCH [66/100], ITER [790/1666] 
LOSS: 0.00072698, TIME: 15668.7s
STEP [109100], EPOCH [66/100], ITER [810/1666] 
LOSS: 0.00037658, TIME: 15671.6s
STEP [109120], EPOCH [66/100], ITER [830/1666] 
LOSS: 0.00163526, TIME: 15674.4s
STEP [109140], EPOCH [66/100], ITER [850/1666] 
LOSS: 0.00079199, TIME: 15677.3s
STEP [109160], EPOCH [66/100], ITER [870/1666] 
LOSS: 0.00099728, TIME: 15680.1s
STEP [109180], EPOCH [66/100], ITER [890/1666] 
LOSS: 0.00053033, TIME: 15683.0s
STEP [109200], EPOCH [66/100], ITER [910/1666] 
LOSS: 0.00057983, TIME: 15685.8s
STEP [109220], EPOCH [66/100], ITER [930/1666] 
LOSS: 0.00054976, TIME: 15688.7s
STEP [109240], EPOCH [66/100], ITER [950/1666] 
LOSS: 0.00028551, TIME: 15691.5s
STEP [109260], EPOCH [66/100], ITER [970/1666] 
LOSS: 0.00047499, TIME: 15694.4s
STEP [109280], EPOCH [66/100], ITER [990/1666] 
LOSS: 0.00074727, TIME: 15697.2s
STEP [109300], EPOCH [66/100], ITER [1010/1666] 
LOSS: 0.00097735, TIME: 15700.1s
STEP [109320], EPOCH [66/100], ITER [1030/1666] 
LOSS: 0.00068160, TIME: 15702.9s
STEP [109340], EPOCH [66/100], ITER [1050/1666] 
LOSS: 0.00062268, TIME: 15705.8s
STEP [109360], EPOCH [66/100], ITER [1070/1666] 
LOSS: 0.00049885, TIME: 15708.7s
STEP [109380], EPOCH [66/100], ITER [1090/1666] 
LOSS: 0.00059669, TIME: 15711.5s
STEP [109400], EPOCH [66/100], ITER [1110/1666] 
LOSS: 0.00083416, TIME: 15714.4s
STEP [109420], EPOCH [66/100], ITER [1130/1666] 
LOSS: 0.00064982, TIME: 15717.2s
STEP [109440], EPOCH [66/100], ITER [1150/1666] 
LOSS: 0.00065581, TIME: 15720.1s
STEP [109460], EPOCH [66/100], ITER [1170/1666] 
LOSS: 0.00058603, TIME: 15722.9s
STEP [109480], EPOCH [66/100], ITER [1190/1666] 
LOSS: 0.00045949, TIME: 15725.8s
STEP [109500], EPOCH [66/100], ITER [1210/1666] 
LOSS: 0.00044352, TIME: 15728.6s
STEP [109520], EPOCH [66/100], ITER [1230/1666] 
LOSS: 0.00061856, TIME: 15731.5s
STEP [109540], EPOCH [66/100], ITER [1250/1666] 
LOSS: 0.00076118, TIME: 15734.3s
STEP [109560], EPOCH [66/100], ITER [1270/1666] 
LOSS: 0.00045909, TIME: 15737.2s
STEP [109580], EPOCH [66/100], ITER [1290/1666] 
LOSS: 0.00065870, TIME: 15740.0s
STEP [109600], EPOCH [66/100], ITER [1310/1666] 
LOSS: 0.00056541, TIME: 15742.9s
STEP [109620], EPOCH [66/100], ITER [1330/1666] 
LOSS: 0.00064064, TIME: 15745.7s
STEP [109640], EPOCH [66/100], ITER [1350/1666] 
LOSS: 0.00055150, TIME: 15748.6s
STEP [109660], EPOCH [66/100], ITER [1370/1666] 
LOSS: 0.00124196, TIME: 15751.4s
STEP [109680], EPOCH [66/100], ITER [1390/1666] 
LOSS: 0.00044465, TIME: 15754.3s
STEP [109700], EPOCH [66/100], ITER [1410/1666] 
LOSS: 0.00032174, TIME: 15757.1s
STEP [109720], EPOCH [66/100], ITER [1430/1666] 
LOSS: 0.00094351, TIME: 15760.0s
STEP [109740], EPOCH [66/100], ITER [1450/1666] 
LOSS: 0.00046647, TIME: 15762.8s
STEP [109760], EPOCH [66/100], ITER [1470/1666] 
LOSS: 0.00048891, TIME: 15765.7s
STEP [109780], EPOCH [66/100], ITER [1490/1666] 
LOSS: 0.00051452, TIME: 15768.6s
STEP [109800], EPOCH [66/100], ITER [1510/1666] 
LOSS: 0.00076670, TIME: 15771.4s
STEP [109820], EPOCH [66/100], ITER [1530/1666] 
LOSS: 0.00049337, TIME: 15774.3s
STEP [109840], EPOCH [66/100], ITER [1550/1666] 
LOSS: 0.00041202, TIME: 15777.1s
STEP [109860], EPOCH [66/100], ITER [1570/1666] 
LOSS: 0.00065084, TIME: 15780.0s
STEP [109880], EPOCH [66/100], ITER [1590/1666] 
LOSS: 0.00047257, TIME: 15782.8s
STEP [109900], EPOCH [66/100], ITER [1610/1666] 
LOSS: 0.00028663, TIME: 15785.7s
STEP [109920], EPOCH [66/100], ITER [1630/1666] 
LOSS: 0.00059090, TIME: 15788.5s
STEP [109940], EPOCH [66/100], ITER [1650/1666] 
LOSS: 0.00067494, TIME: 15791.4s
STEP [109960], EPOCH [67/100], ITER [4/1666] 
LOSS: 0.00038145, TIME: 15795.7s
STEP [109980], EPOCH [67/100], ITER [24/1666] 
LOSS: 0.00050609, TIME: 15798.5s
STEP [110000], EPOCH [67/100], ITER [44/1666] 
LOSS: 0.00089036, TIME: 15801.4s
STEP [110020], EPOCH [67/100], ITER [64/1666] 
LOSS: 0.00030503, TIME: 15804.3s
STEP [110040], EPOCH [67/100], ITER [84/1666] 
LOSS: 0.00079289, TIME: 15807.2s
STEP [110060], EPOCH [67/100], ITER [104/1666] 
LOSS: 0.00108335, TIME: 15810.0s
STEP [110080], EPOCH [67/100], ITER [124/1666] 
LOSS: 0.00064860, TIME: 15812.9s
STEP [110100], EPOCH [67/100], ITER [144/1666] 
LOSS: 0.00069391, TIME: 15815.7s
STEP [110120], EPOCH [67/100], ITER [164/1666] 
LOSS: 0.00049069, TIME: 15818.6s
STEP [110140], EPOCH [67/100], ITER [184/1666] 
LOSS: 0.00046980, TIME: 15821.4s
STEP [110160], EPOCH [67/100], ITER [204/1666] 
LOSS: 0.00049827, TIME: 15824.3s
STEP [110180], EPOCH [67/100], ITER [224/1666] 
LOSS: 0.00051082, TIME: 15827.1s
STEP [110200], EPOCH [67/100], ITER [244/1666] 
LOSS: 0.00059705, TIME: 15830.0s
STEP [110220], EPOCH [67/100], ITER [264/1666] 
LOSS: 0.00090558, TIME: 15832.8s
STEP [110240], EPOCH [67/100], ITER [284/1666] 
LOSS: 0.00056807, TIME: 15835.7s
STEP [110260], EPOCH [67/100], ITER [304/1666] 
LOSS: 0.00054642, TIME: 15838.5s
STEP [110280], EPOCH [67/100], ITER [324/1666] 
LOSS: 0.00044503, TIME: 15841.4s
STEP [110300], EPOCH [67/100], ITER [344/1666] 
LOSS: 0.00071516, TIME: 15844.2s
STEP [110320], EPOCH [67/100], ITER [364/1666] 
LOSS: 0.00059330, TIME: 15847.1s
STEP [110340], EPOCH [67/100], ITER [384/1666] 
LOSS: 0.00036553, TIME: 15849.9s
STEP [110360], EPOCH [67/100], ITER [404/1666] 
LOSS: 0.00049030, TIME: 15852.8s
STEP [110380], EPOCH [67/100], ITER [424/1666] 
LOSS: 0.00070439, TIME: 15855.6s
STEP [110400], EPOCH [67/100], ITER [444/1666] 
LOSS: 0.00043270, TIME: 15858.5s
STEP [110420], EPOCH [67/100], ITER [464/1666] 
LOSS: 0.00057442, TIME: 15861.3s
STEP [110440], EPOCH [67/100], ITER [484/1666] 
LOSS: 0.00056005, TIME: 15864.2s
STEP [110460], EPOCH [67/100], ITER [504/1666] 
LOSS: 0.00037261, TIME: 15867.0s
STEP [110480], EPOCH [67/100], ITER [524/1666] 
LOSS: 0.00072922, TIME: 15869.9s
STEP [110500], EPOCH [67/100], ITER [544/1666] 
LOSS: 0.00046935, TIME: 15872.7s
STEP [110520], EPOCH [67/100], ITER [564/1666] 
LOSS: 0.00065171, TIME: 15875.6s
STEP [110540], EPOCH [67/100], ITER [584/1666] 
LOSS: 0.00055598, TIME: 15878.5s
STEP [110560], EPOCH [67/100], ITER [604/1666] 
LOSS: 0.00065348, TIME: 15881.3s
STEP [110580], EPOCH [67/100], ITER [624/1666] 
LOSS: 0.00039070, TIME: 15884.2s
STEP [110600], EPOCH [67/100], ITER [644/1666] 
LOSS: 0.00093305, TIME: 15887.0s
STEP [110620], EPOCH [67/100], ITER [664/1666] 
LOSS: 0.00031018, TIME: 15889.9s
STEP [110640], EPOCH [67/100], ITER [684/1666] 
LOSS: 0.00048043, TIME: 15892.7s
STEP [110660], EPOCH [67/100], ITER [704/1666] 
LOSS: 0.00060594, TIME: 15895.6s
STEP [110680], EPOCH [67/100], ITER [724/1666] 
LOSS: 0.00064739, TIME: 15898.4s
STEP [110700], EPOCH [67/100], ITER [744/1666] 
LOSS: 0.00085692, TIME: 15901.3s
STEP [110720], EPOCH [67/100], ITER [764/1666] 
LOSS: 0.00049052, TIME: 15904.1s
STEP [110740], EPOCH [67/100], ITER [784/1666] 
LOSS: 0.00071389, TIME: 15907.0s
STEP [110760], EPOCH [67/100], ITER [804/1666] 
LOSS: 0.00045294, TIME: 15909.8s
STEP [110780], EPOCH [67/100], ITER [824/1666] 
LOSS: 0.00057937, TIME: 15912.7s
STEP [110800], EPOCH [67/100], ITER [844/1666] 
LOSS: 0.00063439, TIME: 15915.5s
STEP [110820], EPOCH [67/100], ITER [864/1666] 
LOSS: 0.00041319, TIME: 15918.4s
STEP [110840], EPOCH [67/100], ITER [884/1666] 
LOSS: 0.00041499, TIME: 15921.2s
STEP [110860], EPOCH [67/100], ITER [904/1666] 
LOSS: 0.00103878, TIME: 15924.1s
STEP [110880], EPOCH [67/100], ITER [924/1666] 
LOSS: 0.00026179, TIME: 15926.9s
STEP [110900], EPOCH [67/100], ITER [944/1666] 
LOSS: 0.00060233, TIME: 15929.8s
STEP [110920], EPOCH [67/100], ITER [964/1666] 
LOSS: 0.00045952, TIME: 15932.6s
STEP [110940], EPOCH [67/100], ITER [984/1666] 
LOSS: 0.00042521, TIME: 15935.5s
STEP [110960], EPOCH [67/100], ITER [1004/1666] 
LOSS: 0.00049051, TIME: 15938.3s
STEP [110980], EPOCH [67/100], ITER [1024/1666] 
LOSS: 0.00085947, TIME: 15941.2s
STEP [111000], EPOCH [67/100], ITER [1044/1666] 
LOSS: 0.00040255, TIME: 15944.0s
STEP [111020], EPOCH [67/100], ITER [1064/1666] 
LOSS: 0.00035305, TIME: 15947.0s
STEP [111040], EPOCH [67/100], ITER [1084/1666] 
LOSS: 0.00038647, TIME: 15949.8s
STEP [111060], EPOCH [67/100], ITER [1104/1666] 
LOSS: 0.00074663, TIME: 15952.7s
STEP [111080], EPOCH [67/100], ITER [1124/1666] 
LOSS: 0.00039152, TIME: 15955.5s
STEP [111100], EPOCH [67/100], ITER [1144/1666] 
LOSS: 0.00059067, TIME: 15958.4s
STEP [111120], EPOCH [67/100], ITER [1164/1666] 
LOSS: 0.00079623, TIME: 15961.2s
STEP [111140], EPOCH [67/100], ITER [1184/1666] 
LOSS: 0.00035952, TIME: 15964.1s
STEP [111160], EPOCH [67/100], ITER [1204/1666] 
LOSS: 0.00092822, TIME: 15966.9s
STEP [111180], EPOCH [67/100], ITER [1224/1666] 
LOSS: 0.00052640, TIME: 15969.8s
STEP [111200], EPOCH [67/100], ITER [1244/1666] 
LOSS: 0.00075606, TIME: 15972.6s
STEP [111220], EPOCH [67/100], ITER [1264/1666] 
LOSS: 0.00087528, TIME: 15975.5s
STEP [111240], EPOCH [67/100], ITER [1284/1666] 
LOSS: 0.00053558, TIME: 15978.3s
STEP [111260], EPOCH [67/100], ITER [1304/1666] 
LOSS: 0.00057132, TIME: 15981.2s
STEP [111280], EPOCH [67/100], ITER [1324/1666] 
LOSS: 0.00052704, TIME: 15984.0s
STEP [111300], EPOCH [67/100], ITER [1344/1666] 
LOSS: 0.00042434, TIME: 15986.9s
STEP [111320], EPOCH [67/100], ITER [1364/1666] 
LOSS: 0.00051450, TIME: 15989.7s
STEP [111340], EPOCH [67/100], ITER [1384/1666] 
LOSS: 0.00067601, TIME: 15992.6s
STEP [111360], EPOCH [67/100], ITER [1404/1666] 
LOSS: 0.00093458, TIME: 15995.4s
STEP [111380], EPOCH [67/100], ITER [1424/1666] 
LOSS: 0.00077897, TIME: 15998.3s
STEP [111400], EPOCH [67/100], ITER [1444/1666] 
LOSS: 0.00046596, TIME: 16001.1s
STEP [111420], EPOCH [67/100], ITER [1464/1666] 
LOSS: 0.00058698, TIME: 16004.0s
STEP [111440], EPOCH [67/100], ITER [1484/1666] 
LOSS: 0.00103841, TIME: 16006.9s
STEP [111460], EPOCH [67/100], ITER [1504/1666] 
LOSS: 0.00055002, TIME: 16009.7s
STEP [111480], EPOCH [67/100], ITER [1524/1666] 
LOSS: 0.00044964, TIME: 16012.6s
STEP [111500], EPOCH [67/100], ITER [1544/1666] 
LOSS: 0.00056803, TIME: 16015.4s
STEP [111520], EPOCH [67/100], ITER [1564/1666] 
LOSS: 0.00079646, TIME: 16018.3s
STEP [111540], EPOCH [67/100], ITER [1584/1666] 
LOSS: 0.00043709, TIME: 16021.1s
STEP [111560], EPOCH [67/100], ITER [1604/1666] 
LOSS: 0.00060486, TIME: 16024.0s
STEP [111580], EPOCH [67/100], ITER [1624/1666] 
LOSS: 0.00040782, TIME: 16026.8s
STEP [111600], EPOCH [67/100], ITER [1644/1666] 
LOSS: 0.00051698, TIME: 16029.7s
STEP [111620], EPOCH [67/100], ITER [1664/1666] 
LOSS: 0.00053013, TIME: 16032.5s
STEP [111640], EPOCH [68/100], ITER [18/1666] 
LOSS: 0.00056156, TIME: 16036.8s
STEP [111660], EPOCH [68/100], ITER [38/1666] 
LOSS: 0.00038176, TIME: 16039.7s
STEP [111680], EPOCH [68/100], ITER [58/1666] 
LOSS: 0.00051514, TIME: 16042.5s
STEP [111700], EPOCH [68/100], ITER [78/1666] 
LOSS: 0.00027681, TIME: 16045.4s
STEP [111720], EPOCH [68/100], ITER [98/1666] 
LOSS: 0.00032344, TIME: 16048.2s
STEP [111740], EPOCH [68/100], ITER [118/1666] 
LOSS: 0.00070971, TIME: 16051.1s
STEP [111760], EPOCH [68/100], ITER [138/1666] 
LOSS: 0.00048882, TIME: 16053.9s
STEP [111780], EPOCH [68/100], ITER [158/1666] 
LOSS: 0.00055113, TIME: 16056.8s
STEP [111800], EPOCH [68/100], ITER [178/1666] 
LOSS: 0.00084237, TIME: 16059.6s
STEP [111820], EPOCH [68/100], ITER [198/1666] 
LOSS: 0.00083367, TIME: 16062.5s
STEP [111840], EPOCH [68/100], ITER [218/1666] 
LOSS: 0.00054823, TIME: 16065.3s
STEP [111860], EPOCH [68/100], ITER [238/1666] 
LOSS: 0.00059649, TIME: 16068.2s
STEP [111880], EPOCH [68/100], ITER [258/1666] 
LOSS: 0.00060653, TIME: 16071.0s
STEP [111900], EPOCH [68/100], ITER [278/1666] 
LOSS: 0.00043126, TIME: 16073.9s
STEP [111920], EPOCH [68/100], ITER [298/1666] 
LOSS: 0.00052565, TIME: 16076.7s
STEP [111940], EPOCH [68/100], ITER [318/1666] 
LOSS: 0.00072072, TIME: 16079.6s
STEP [111960], EPOCH [68/100], ITER [338/1666] 
LOSS: 0.00085465, TIME: 16082.5s
STEP [111980], EPOCH [68/100], ITER [358/1666] 
LOSS: 0.00037896, TIME: 16085.3s
STEP [112000], EPOCH [68/100], ITER [378/1666] 
LOSS: 0.00057564, TIME: 16088.2s
STEP [112020], EPOCH [68/100], ITER [398/1666] 
LOSS: 0.00072217, TIME: 16091.1s
STEP [112040], EPOCH [68/100], ITER [418/1666] 
LOSS: 0.00046885, TIME: 16094.0s
STEP [112060], EPOCH [68/100], ITER [438/1666] 
LOSS: 0.00047027, TIME: 16096.8s
STEP [112080], EPOCH [68/100], ITER [458/1666] 
LOSS: 0.00064500, TIME: 16099.7s
STEP [112100], EPOCH [68/100], ITER [478/1666] 
LOSS: 0.00089029, TIME: 16102.5s
STEP [112120], EPOCH [68/100], ITER [498/1666] 
LOSS: 0.00044432, TIME: 16105.4s
STEP [112140], EPOCH [68/100], ITER [518/1666] 
LOSS: 0.00044294, TIME: 16108.2s
STEP [112160], EPOCH [68/100], ITER [538/1666] 
LOSS: 0.00046367, TIME: 16111.1s
STEP [112180], EPOCH [68/100], ITER [558/1666] 
LOSS: 0.00065983, TIME: 16113.9s
STEP [112200], EPOCH [68/100], ITER [578/1666] 
LOSS: 0.00060434, TIME: 16116.8s
STEP [112220], EPOCH [68/100], ITER [598/1666] 
LOSS: 0.00057964, TIME: 16119.6s
STEP [112240], EPOCH [68/100], ITER [618/1666] 
LOSS: 0.00058499, TIME: 16122.5s
STEP [112260], EPOCH [68/100], ITER [638/1666] 
LOSS: 0.00053879, TIME: 16125.3s
STEP [112280], EPOCH [68/100], ITER [658/1666] 
LOSS: 0.00054152, TIME: 16128.2s
STEP [112300], EPOCH [68/100], ITER [678/1666] 
LOSS: 0.00066123, TIME: 16131.1s
STEP [112320], EPOCH [68/100], ITER [698/1666] 
LOSS: 0.00051397, TIME: 16133.9s
STEP [112340], EPOCH [68/100], ITER [718/1666] 
LOSS: 0.00036968, TIME: 16136.8s
STEP [112360], EPOCH [68/100], ITER [738/1666] 
LOSS: 0.00064696, TIME: 16139.6s
STEP [112380], EPOCH [68/100], ITER [758/1666] 
LOSS: 0.00083293, TIME: 16142.5s
STEP [112400], EPOCH [68/100], ITER [778/1666] 
LOSS: 0.00080855, TIME: 16145.3s
STEP [112420], EPOCH [68/100], ITER [798/1666] 
LOSS: 0.00077681, TIME: 16148.2s
STEP [112440], EPOCH [68/100], ITER [818/1666] 
LOSS: 0.00066613, TIME: 16151.0s
STEP [112460], EPOCH [68/100], ITER [838/1666] 
LOSS: 0.00070539, TIME: 16153.9s
STEP [112480], EPOCH [68/100], ITER [858/1666] 
LOSS: 0.00058868, TIME: 16156.8s
STEP [112500], EPOCH [68/100], ITER [878/1666] 
LOSS: 0.00036394, TIME: 16159.6s
STEP [112520], EPOCH [68/100], ITER [898/1666] 
LOSS: 0.00041673, TIME: 16162.5s
STEP [112540], EPOCH [68/100], ITER [918/1666] 
LOSS: 0.00082333, TIME: 16165.3s
STEP [112560], EPOCH [68/100], ITER [938/1666] 
LOSS: 0.00099486, TIME: 16168.2s
STEP [112580], EPOCH [68/100], ITER [958/1666] 
LOSS: 0.00047274, TIME: 16171.0s
STEP [112600], EPOCH [68/100], ITER [978/1666] 
LOSS: 0.00032608, TIME: 16173.9s
STEP [112620], EPOCH [68/100], ITER [998/1666] 
LOSS: 0.00066689, TIME: 16176.7s
STEP [112640], EPOCH [68/100], ITER [1018/1666] 
LOSS: 0.00050431, TIME: 16179.6s
STEP [112660], EPOCH [68/100], ITER [1038/1666] 
LOSS: 0.00075779, TIME: 16182.4s
STEP [112680], EPOCH [68/100], ITER [1058/1666] 
LOSS: 0.00061886, TIME: 16185.3s
STEP [112700], EPOCH [68/100], ITER [1078/1666] 
LOSS: 0.00058921, TIME: 16188.1s
STEP [112720], EPOCH [68/100], ITER [1098/1666] 
LOSS: 0.00082023, TIME: 16191.0s
STEP [112740], EPOCH [68/100], ITER [1118/1666] 
LOSS: 0.00058531, TIME: 16193.8s
STEP [112760], EPOCH [68/100], ITER [1138/1666] 
LOSS: 0.00043067, TIME: 16196.7s
STEP [112780], EPOCH [68/100], ITER [1158/1666] 
LOSS: 0.00086731, TIME: 16199.5s
STEP [112800], EPOCH [68/100], ITER [1178/1666] 
LOSS: 0.00048345, TIME: 16202.4s
STEP [112820], EPOCH [68/100], ITER [1198/1666] 
LOSS: 0.00092239, TIME: 16205.3s
STEP [112840], EPOCH [68/100], ITER [1218/1666] 
LOSS: 0.00071861, TIME: 16208.1s
STEP [112860], EPOCH [68/100], ITER [1238/1666] 
LOSS: 0.00076825, TIME: 16211.0s
STEP [112880], EPOCH [68/100], ITER [1258/1666] 
LOSS: 0.00030656, TIME: 16213.8s
STEP [112900], EPOCH [68/100], ITER [1278/1666] 
LOSS: 0.00076316, TIME: 16216.7s
STEP [112920], EPOCH [68/100], ITER [1298/1666] 
LOSS: 0.00052607, TIME: 16219.5s
STEP [112940], EPOCH [68/100], ITER [1318/1666] 
LOSS: 0.00052454, TIME: 16222.4s
STEP [112960], EPOCH [68/100], ITER [1338/1666] 
LOSS: 0.00046839, TIME: 16225.2s
STEP [112980], EPOCH [68/100], ITER [1358/1666] 
LOSS: 0.00096014, TIME: 16228.1s
STEP [113000], EPOCH [68/100], ITER [1378/1666] 
LOSS: 0.00088163, TIME: 16230.9s
STEP [113020], EPOCH [68/100], ITER [1398/1666] 
LOSS: 0.00124619, TIME: 16233.9s
STEP [113040], EPOCH [68/100], ITER [1418/1666] 
LOSS: 0.00072694, TIME: 16236.7s
STEP [113060], EPOCH [68/100], ITER [1438/1666] 
LOSS: 0.00060108, TIME: 16239.6s
STEP [113080], EPOCH [68/100], ITER [1458/1666] 
LOSS: 0.00069222, TIME: 16242.4s
STEP [113100], EPOCH [68/100], ITER [1478/1666] 
LOSS: 0.00066021, TIME: 16245.3s
STEP [113120], EPOCH [68/100], ITER [1498/1666] 
LOSS: 0.00059441, TIME: 16248.1s
STEP [113140], EPOCH [68/100], ITER [1518/1666] 
LOSS: 0.00041044, TIME: 16251.0s
STEP [113160], EPOCH [68/100], ITER [1538/1666] 
LOSS: 0.00068873, TIME: 16253.8s
STEP [113180], EPOCH [68/100], ITER [1558/1666] 
LOSS: 0.00042048, TIME: 16256.7s
STEP [113200], EPOCH [68/100], ITER [1578/1666] 
LOSS: 0.00031237, TIME: 16259.6s
STEP [113220], EPOCH [68/100], ITER [1598/1666] 
LOSS: 0.00063206, TIME: 16262.4s
STEP [113240], EPOCH [68/100], ITER [1618/1666] 
LOSS: 0.00039761, TIME: 16265.3s
STEP [113260], EPOCH [68/100], ITER [1638/1666] 
LOSS: 0.00048259, TIME: 16268.1s
STEP [113280], EPOCH [68/100], ITER [1658/1666] 
LOSS: 0.00044158, TIME: 16271.0s
STEP [113300], EPOCH [69/100], ITER [12/1666] 
LOSS: 0.00039736, TIME: 16275.2s
STEP [113320], EPOCH [69/100], ITER [32/1666] 
LOSS: 0.00047849, TIME: 16278.0s
STEP [113340], EPOCH [69/100], ITER [52/1666] 
LOSS: 0.00068709, TIME: 16280.9s
STEP [113360], EPOCH [69/100], ITER [72/1666] 
LOSS: 0.00060089, TIME: 16283.8s
STEP [113380], EPOCH [69/100], ITER [92/1666] 
LOSS: 0.00058195, TIME: 16286.6s
STEP [113400], EPOCH [69/100], ITER [112/1666] 
LOSS: 0.00062766, TIME: 16289.5s
STEP [113420], EPOCH [69/100], ITER [132/1666] 
LOSS: 0.00064900, TIME: 16292.3s
STEP [113440], EPOCH [69/100], ITER [152/1666] 
LOSS: 0.00046561, TIME: 16295.2s
STEP [113460], EPOCH [69/100], ITER [172/1666] 
LOSS: 0.00060278, TIME: 16298.0s
STEP [113480], EPOCH [69/100], ITER [192/1666] 
LOSS: 0.00063812, TIME: 16300.9s
STEP [113500], EPOCH [69/100], ITER [212/1666] 
LOSS: 0.00080307, TIME: 16303.7s
STEP [113520], EPOCH [69/100], ITER [232/1666] 
LOSS: 0.00064939, TIME: 16306.6s
STEP [113540], EPOCH [69/100], ITER [252/1666] 
LOSS: 0.00090064, TIME: 16309.4s
STEP [113560], EPOCH [69/100], ITER [272/1666] 
LOSS: 0.00069068, TIME: 16312.3s
STEP [113580], EPOCH [69/100], ITER [292/1666] 
LOSS: 0.00065627, TIME: 16315.1s
STEP [113600], EPOCH [69/100], ITER [312/1666] 
LOSS: 0.00040611, TIME: 16318.0s
STEP [113620], EPOCH [69/100], ITER [332/1666] 
LOSS: 0.00051621, TIME: 16320.8s
STEP [113640], EPOCH [69/100], ITER [352/1666] 
LOSS: 0.00088476, TIME: 16323.7s
STEP [113660], EPOCH [69/100], ITER [372/1666] 
LOSS: 0.00043395, TIME: 16326.5s
STEP [113680], EPOCH [69/100], ITER [392/1666] 
LOSS: 0.00039665, TIME: 16329.4s
STEP [113700], EPOCH [69/100], ITER [412/1666] 
LOSS: 0.00055043, TIME: 16332.2s
STEP [113720], EPOCH [69/100], ITER [432/1666] 
LOSS: 0.00045288, TIME: 16335.1s
STEP [113740], EPOCH [69/100], ITER [452/1666] 
LOSS: 0.00053991, TIME: 16337.9s
STEP [113760], EPOCH [69/100], ITER [472/1666] 
LOSS: 0.00036454, TIME: 16340.8s
STEP [113780], EPOCH [69/100], ITER [492/1666] 
LOSS: 0.00047719, TIME: 16343.6s
STEP [113800], EPOCH [69/100], ITER [512/1666] 
LOSS: 0.00086075, TIME: 16346.5s
STEP [113820], EPOCH [69/100], ITER [532/1666] 
LOSS: 0.00057593, TIME: 16349.3s
STEP [113840], EPOCH [69/100], ITER [552/1666] 
LOSS: 0.00038802, TIME: 16352.2s
STEP [113860], EPOCH [69/100], ITER [572/1666] 
LOSS: 0.00038226, TIME: 16355.0s
STEP [113880], EPOCH [69/100], ITER [592/1666] 
LOSS: 0.00054333, TIME: 16357.9s
STEP [113900], EPOCH [69/100], ITER [612/1666] 
LOSS: 0.00062929, TIME: 16360.8s
STEP [113920], EPOCH [69/100], ITER [632/1666] 
LOSS: 0.00038792, TIME: 16363.6s
STEP [113940], EPOCH [69/100], ITER [652/1666] 
LOSS: 0.00059080, TIME: 16366.5s
STEP [113960], EPOCH [69/100], ITER [672/1666] 
LOSS: 0.00051518, TIME: 16369.3s
STEP [113980], EPOCH [69/100], ITER [692/1666] 
LOSS: 0.00042284, TIME: 16372.2s
STEP [114000], EPOCH [69/100], ITER [712/1666] 
LOSS: 0.00067730, TIME: 16375.0s
STEP [114020], EPOCH [69/100], ITER [732/1666] 
LOSS: 0.00080926, TIME: 16378.0s
STEP [114040], EPOCH [69/100], ITER [752/1666] 
LOSS: 0.00074183, TIME: 16380.8s
STEP [114060], EPOCH [69/100], ITER [772/1666] 
LOSS: 0.00086487, TIME: 16383.7s
STEP [114080], EPOCH [69/100], ITER [792/1666] 
LOSS: 0.00046751, TIME: 16386.5s
STEP [114100], EPOCH [69/100], ITER [812/1666] 
LOSS: 0.00050037, TIME: 16389.4s
STEP [114120], EPOCH [69/100], ITER [832/1666] 
LOSS: 0.00038284, TIME: 16392.2s
STEP [114140], EPOCH [69/100], ITER [852/1666] 
LOSS: 0.00104481, TIME: 16395.1s
STEP [114160], EPOCH [69/100], ITER [872/1666] 
LOSS: 0.00063075, TIME: 16397.9s
STEP [114180], EPOCH [69/100], ITER [892/1666] 
LOSS: 0.00073411, TIME: 16400.8s
STEP [114200], EPOCH [69/100], ITER [912/1666] 
LOSS: 0.00037581, TIME: 16403.6s
STEP [114220], EPOCH [69/100], ITER [932/1666] 
LOSS: 0.00033044, TIME: 16406.5s
STEP [114240], EPOCH [69/100], ITER [952/1666] 
LOSS: 0.00039695, TIME: 16409.3s
STEP [114260], EPOCH [69/100], ITER [972/1666] 
LOSS: 0.00074829, TIME: 16412.2s
STEP [114280], EPOCH [69/100], ITER [992/1666] 
LOSS: 0.00049357, TIME: 16415.0s
STEP [114300], EPOCH [69/100], ITER [1012/1666] 
LOSS: 0.00057156, TIME: 16417.9s
STEP [114320], EPOCH [69/100], ITER [1032/1666] 
LOSS: 0.00054689, TIME: 16420.7s
STEP [114340], EPOCH [69/100], ITER [1052/1666] 
LOSS: 0.00092253, TIME: 16423.6s
STEP [114360], EPOCH [69/100], ITER [1072/1666] 
LOSS: 0.00053031, TIME: 16426.4s
STEP [114380], EPOCH [69/100], ITER [1092/1666] 
LOSS: 0.00053932, TIME: 16429.3s
STEP [114400], EPOCH [69/100], ITER [1112/1666] 
LOSS: 0.00042487, TIME: 16432.2s
STEP [114420], EPOCH [69/100], ITER [1132/1666] 
LOSS: 0.00052565, TIME: 16435.0s
STEP [114440], EPOCH [69/100], ITER [1152/1666] 
LOSS: 0.00044607, TIME: 16437.9s
STEP [114460], EPOCH [69/100], ITER [1172/1666] 
LOSS: 0.00045909, TIME: 16440.7s
STEP [114480], EPOCH [69/100], ITER [1192/1666] 
LOSS: 0.00086241, TIME: 16443.6s
STEP [114500], EPOCH [69/100], ITER [1212/1666] 
LOSS: 0.00046752, TIME: 16446.4s
STEP [114520], EPOCH [69/100], ITER [1232/1666] 
LOSS: 0.00064952, TIME: 16449.3s
STEP [114540], EPOCH [69/100], ITER [1252/1666] 
LOSS: 0.00081010, TIME: 16452.1s
STEP [114560], EPOCH [69/100], ITER [1272/1666] 
LOSS: 0.00036357, TIME: 16455.0s
STEP [114580], EPOCH [69/100], ITER [1292/1666] 
LOSS: 0.00073119, TIME: 16457.8s
STEP [114600], EPOCH [69/100], ITER [1312/1666] 
LOSS: 0.00066848, TIME: 16460.7s
STEP [114620], EPOCH [69/100], ITER [1332/1666] 
LOSS: 0.00046316, TIME: 16463.5s
STEP [114640], EPOCH [69/100], ITER [1352/1666] 
LOSS: 0.00028231, TIME: 16466.4s
STEP [114660], EPOCH [69/100], ITER [1372/1666] 
LOSS: 0.00055080, TIME: 16469.2s
STEP [114680], EPOCH [69/100], ITER [1392/1666] 
LOSS: 0.00058817, TIME: 16472.1s
STEP [114700], EPOCH [69/100], ITER [1412/1666] 
LOSS: 0.00041452, TIME: 16474.9s
STEP [114720], EPOCH [69/100], ITER [1432/1666] 
LOSS: 0.00055052, TIME: 16477.8s
STEP [114740], EPOCH [69/100], ITER [1452/1666] 
LOSS: 0.00072264, TIME: 16480.6s
STEP [114760], EPOCH [69/100], ITER [1472/1666] 
LOSS: 0.00034031, TIME: 16483.5s
STEP [114780], EPOCH [69/100], ITER [1492/1666] 
LOSS: 0.00052793, TIME: 16486.4s
STEP [114800], EPOCH [69/100], ITER [1512/1666] 
LOSS: 0.00039167, TIME: 16489.2s
STEP [114820], EPOCH [69/100], ITER [1532/1666] 
LOSS: 0.00057466, TIME: 16492.1s
STEP [114840], EPOCH [69/100], ITER [1552/1666] 
LOSS: 0.00033056, TIME: 16494.9s
STEP [114860], EPOCH [69/100], ITER [1572/1666] 
LOSS: 0.00084924, TIME: 16497.8s
STEP [114880], EPOCH [69/100], ITER [1592/1666] 
LOSS: 0.00040794, TIME: 16500.6s
STEP [114900], EPOCH [69/100], ITER [1612/1666] 
LOSS: 0.00076266, TIME: 16503.5s
STEP [114920], EPOCH [69/100], ITER [1632/1666] 
LOSS: 0.00059876, TIME: 16506.3s
STEP [114940], EPOCH [69/100], ITER [1652/1666] 
LOSS: 0.00056515, TIME: 16509.2s
STEP [114960], EPOCH [70/100], ITER [6/1666] 
LOSS: 0.00071057, TIME: 16513.5s
STEP [114980], EPOCH [70/100], ITER [26/1666] 
LOSS: 0.00061347, TIME: 16516.3s
STEP [115000], EPOCH [70/100], ITER [46/1666] 
LOSS: 0.00049693, TIME: 16519.2s
STEP [115020], EPOCH [70/100], ITER [66/1666] 
LOSS: 0.00047580, TIME: 16522.1s
STEP [115040], EPOCH [70/100], ITER [86/1666] 
LOSS: 0.00046624, TIME: 16525.0s
STEP [115060], EPOCH [70/100], ITER [106/1666] 
LOSS: 0.00083096, TIME: 16527.8s
STEP [115080], EPOCH [70/100], ITER [126/1666] 
LOSS: 0.00100978, TIME: 16530.7s
STEP [115100], EPOCH [70/100], ITER [146/1666] 
LOSS: 0.00068031, TIME: 16533.5s
STEP [115120], EPOCH [70/100], ITER [166/1666] 
LOSS: 0.00054350, TIME: 16536.4s
STEP [115140], EPOCH [70/100], ITER [186/1666] 
LOSS: 0.00035276, TIME: 16539.2s
STEP [115160], EPOCH [70/100], ITER [206/1666] 
LOSS: 0.00049025, TIME: 16542.1s
STEP [115180], EPOCH [70/100], ITER [226/1666] 
LOSS: 0.00069144, TIME: 16544.9s
STEP [115200], EPOCH [70/100], ITER [246/1666] 
LOSS: 0.00125759, TIME: 16547.8s
STEP [115220], EPOCH [70/100], ITER [266/1666] 
LOSS: 0.00029777, TIME: 16550.6s
STEP [115240], EPOCH [70/100], ITER [286/1666] 
LOSS: 0.00052099, TIME: 16553.5s
STEP [115260], EPOCH [70/100], ITER [306/1666] 
LOSS: 0.00078021, TIME: 16556.4s
STEP [115280], EPOCH [70/100], ITER [326/1666] 
LOSS: 0.00066686, TIME: 16559.2s
STEP [115300], EPOCH [70/100], ITER [346/1666] 
LOSS: 0.00031853, TIME: 16562.1s
STEP [115320], EPOCH [70/100], ITER [366/1666] 
LOSS: 0.00053376, TIME: 16564.9s
STEP [115340], EPOCH [70/100], ITER [386/1666] 
LOSS: 0.00070898, TIME: 16567.8s
STEP [115360], EPOCH [70/100], ITER [406/1666] 
LOSS: 0.00069848, TIME: 16570.6s
STEP [115380], EPOCH [70/100], ITER [426/1666] 
LOSS: 0.00069277, TIME: 16573.5s
STEP [115400], EPOCH [70/100], ITER [446/1666] 
LOSS: 0.00045891, TIME: 16576.3s
STEP [115420], EPOCH [70/100], ITER [466/1666] 
LOSS: 0.00062754, TIME: 16579.2s
STEP [115440], EPOCH [70/100], ITER [486/1666] 
LOSS: 0.00114562, TIME: 16582.0s
STEP [115460], EPOCH [70/100], ITER [506/1666] 
LOSS: 0.00042679, TIME: 16584.9s
STEP [115480], EPOCH [70/100], ITER [526/1666] 
LOSS: 0.00079278, TIME: 16587.7s
STEP [115500], EPOCH [70/100], ITER [546/1666] 
LOSS: 0.00051764, TIME: 16590.6s
STEP [115520], EPOCH [70/100], ITER [566/1666] 
LOSS: 0.00060428, TIME: 16593.5s
STEP [115540], EPOCH [70/100], ITER [586/1666] 
LOSS: 0.00084415, TIME: 16596.3s
STEP [115560], EPOCH [70/100], ITER [606/1666] 
LOSS: 0.00073396, TIME: 16599.2s
STEP [115580], EPOCH [70/100], ITER [626/1666] 
LOSS: 0.00030547, TIME: 16602.0s
STEP [115600], EPOCH [70/100], ITER [646/1666] 
LOSS: 0.00059193, TIME: 16604.9s
STEP [115620], EPOCH [70/100], ITER [666/1666] 
LOSS: 0.00075836, TIME: 16607.7s
STEP [115640], EPOCH [70/100], ITER [686/1666] 
LOSS: 0.00052749, TIME: 16610.6s
STEP [115660], EPOCH [70/100], ITER [706/1666] 
LOSS: 0.00082707, TIME: 16613.4s
STEP [115680], EPOCH [70/100], ITER [726/1666] 
LOSS: 0.00055700, TIME: 16616.3s
STEP [115700], EPOCH [70/100], ITER [746/1666] 
LOSS: 0.00037183, TIME: 16619.1s
STEP [115720], EPOCH [70/100], ITER [766/1666] 
LOSS: 0.00133467, TIME: 16622.0s
STEP [115740], EPOCH [70/100], ITER [786/1666] 
LOSS: 0.00067551, TIME: 16624.8s
STEP [115760], EPOCH [70/100], ITER [806/1666] 
LOSS: 0.00061854, TIME: 16627.7s
STEP [115780], EPOCH [70/100], ITER [826/1666] 
LOSS: 0.00081283, TIME: 16630.6s
STEP [115800], EPOCH [70/100], ITER [846/1666] 
LOSS: 0.00042815, TIME: 16633.4s
STEP [115820], EPOCH [70/100], ITER [866/1666] 
LOSS: 0.00117710, TIME: 16636.3s
STEP [115840], EPOCH [70/100], ITER [886/1666] 
LOSS: 0.00070687, TIME: 16639.1s
STEP [115860], EPOCH [70/100], ITER [906/1666] 
LOSS: 0.00079442, TIME: 16642.0s
STEP [115880], EPOCH [70/100], ITER [926/1666] 
LOSS: 0.00065007, TIME: 16644.8s
STEP [115900], EPOCH [70/100], ITER [946/1666] 
LOSS: 0.00082720, TIME: 16647.7s
STEP [115920], EPOCH [70/100], ITER [966/1666] 
LOSS: 0.00068091, TIME: 16650.5s
STEP [115940], EPOCH [70/100], ITER [986/1666] 
LOSS: 0.00037820, TIME: 16653.4s
STEP [115960], EPOCH [70/100], ITER [1006/1666] 
LOSS: 0.00067264, TIME: 16656.2s
STEP [115980], EPOCH [70/100], ITER [1026/1666] 
LOSS: 0.00036602, TIME: 16659.1s
STEP [116000], EPOCH [70/100], ITER [1046/1666] 
LOSS: 0.00053111, TIME: 16662.0s
STEP [116020], EPOCH [70/100], ITER [1066/1666] 
LOSS: 0.00069842, TIME: 16664.9s
STEP [116040], EPOCH [70/100], ITER [1086/1666] 
LOSS: 0.00044323, TIME: 16667.7s
STEP [116060], EPOCH [70/100], ITER [1106/1666] 
LOSS: 0.00070219, TIME: 16670.6s
STEP [116080], EPOCH [70/100], ITER [1126/1666] 
LOSS: 0.00082395, TIME: 16673.5s
STEP [116100], EPOCH [70/100], ITER [1146/1666] 
LOSS: 0.00032574, TIME: 16676.3s
STEP [116120], EPOCH [70/100], ITER [1166/1666] 
LOSS: 0.00054170, TIME: 16679.2s
STEP [116140], EPOCH [70/100], ITER [1186/1666] 
LOSS: 0.00045885, TIME: 16682.0s
STEP [116160], EPOCH [70/100], ITER [1206/1666] 
LOSS: 0.00060358, TIME: 16684.9s
STEP [116180], EPOCH [70/100], ITER [1226/1666] 
LOSS: 0.00056116, TIME: 16687.7s
STEP [116200], EPOCH [70/100], ITER [1246/1666] 
LOSS: 0.00048196, TIME: 16690.6s
STEP [116220], EPOCH [70/100], ITER [1266/1666] 
LOSS: 0.00050357, TIME: 16693.4s
STEP [116240], EPOCH [70/100], ITER [1286/1666] 
LOSS: 0.00067694, TIME: 16696.3s
STEP [116260], EPOCH [70/100], ITER [1306/1666] 
LOSS: 0.00056435, TIME: 16699.1s
STEP [116280], EPOCH [70/100], ITER [1326/1666] 
LOSS: 0.00053250, TIME: 16702.0s
STEP [116300], EPOCH [70/100], ITER [1346/1666] 
LOSS: 0.00035611, TIME: 16704.9s
STEP [116320], EPOCH [70/100], ITER [1366/1666] 
LOSS: 0.00067451, TIME: 16707.7s
STEP [116340], EPOCH [70/100], ITER [1386/1666] 
LOSS: 0.00043713, TIME: 16710.6s
STEP [116360], EPOCH [70/100], ITER [1406/1666] 
LOSS: 0.00043880, TIME: 16713.4s
STEP [116380], EPOCH [70/100], ITER [1426/1666] 
LOSS: 0.00062918, TIME: 16716.3s
STEP [116400], EPOCH [70/100], ITER [1446/1666] 
LOSS: 0.00051764, TIME: 16719.1s
STEP [116420], EPOCH [70/100], ITER [1466/1666] 
LOSS: 0.00031762, TIME: 16722.0s
STEP [116440], EPOCH [70/100], ITER [1486/1666] 
LOSS: 0.00050220, TIME: 16724.8s
STEP [116460], EPOCH [70/100], ITER [1506/1666] 
LOSS: 0.00049412, TIME: 16727.7s
STEP [116480], EPOCH [70/100], ITER [1526/1666] 
LOSS: 0.00052008, TIME: 16730.5s
STEP [116500], EPOCH [70/100], ITER [1546/1666] 
LOSS: 0.00072405, TIME: 16733.4s
STEP [116520], EPOCH [70/100], ITER [1566/1666] 
LOSS: 0.00075030, TIME: 16736.3s
STEP [116540], EPOCH [70/100], ITER [1586/1666] 
LOSS: 0.00062178, TIME: 16739.1s
STEP [116560], EPOCH [70/100], ITER [1606/1666] 
LOSS: 0.00086986, TIME: 16742.0s
STEP [116580], EPOCH [70/100], ITER [1626/1666] 
LOSS: 0.00059748, TIME: 16744.8s
STEP [116600], EPOCH [70/100], ITER [1646/1666] 
LOSS: 0.00064720, TIME: 16747.7s
STEP [116620], EPOCH [70/100], ITER [1666/1666] 
LOSS: 0.00033333, TIME: 16750.5s
STEP [116640], EPOCH [71/100], ITER [20/1666] 
LOSS: 0.00079842, TIME: 16754.8s
STEP [116660], EPOCH [71/100], ITER [40/1666] 
LOSS: 0.00087363, TIME: 16757.6s
STEP [116680], EPOCH [71/100], ITER [60/1666] 
LOSS: 0.00054791, TIME: 16760.5s
STEP [116700], EPOCH [71/100], ITER [80/1666] 
LOSS: 0.00065885, TIME: 16763.4s
STEP [116720], EPOCH [71/100], ITER [100/1666] 
LOSS: 0.00047868, TIME: 16766.2s
STEP [116740], EPOCH [71/100], ITER [120/1666] 
LOSS: 0.00059524, TIME: 16769.1s
STEP [116760], EPOCH [71/100], ITER [140/1666] 
LOSS: 0.00042144, TIME: 16771.9s
STEP [116780], EPOCH [71/100], ITER [160/1666] 
LOSS: 0.00049205, TIME: 16774.8s
STEP [116800], EPOCH [71/100], ITER [180/1666] 
LOSS: 0.00084205, TIME: 16777.6s
STEP [116820], EPOCH [71/100], ITER [200/1666] 
LOSS: 0.00065087, TIME: 16780.5s
STEP [116840], EPOCH [71/100], ITER [220/1666] 
LOSS: 0.00083689, TIME: 16783.3s
STEP [116860], EPOCH [71/100], ITER [240/1666] 
LOSS: 0.00067171, TIME: 16786.2s
STEP [116880], EPOCH [71/100], ITER [260/1666] 
LOSS: 0.00057598, TIME: 16789.0s
STEP [116900], EPOCH [71/100], ITER [280/1666] 
LOSS: 0.00095963, TIME: 16791.9s
STEP [116920], EPOCH [71/100], ITER [300/1666] 
LOSS: 0.00062733, TIME: 16794.8s
STEP [116940], EPOCH [71/100], ITER [320/1666] 
LOSS: 0.00081534, TIME: 16797.6s
STEP [116960], EPOCH [71/100], ITER [340/1666] 
LOSS: 0.00059735, TIME: 16800.5s
STEP [116980], EPOCH [71/100], ITER [360/1666] 
LOSS: 0.00042099, TIME: 16803.3s
STEP [117000], EPOCH [71/100], ITER [380/1666] 
LOSS: 0.00073480, TIME: 16806.2s
STEP [117020], EPOCH [71/100], ITER [400/1666] 
LOSS: 0.00075122, TIME: 16809.1s
STEP [117040], EPOCH [71/100], ITER [420/1666] 
LOSS: 0.00082572, TIME: 16812.0s
STEP [117060], EPOCH [71/100], ITER [440/1666] 
LOSS: 0.00080833, TIME: 16814.8s
STEP [117080], EPOCH [71/100], ITER [460/1666] 
LOSS: 0.00056286, TIME: 16817.7s
STEP [117100], EPOCH [71/100], ITER [480/1666] 
LOSS: 0.00025369, TIME: 16820.5s
STEP [117120], EPOCH [71/100], ITER [500/1666] 
LOSS: 0.00055423, TIME: 16823.4s
STEP [117140], EPOCH [71/100], ITER [520/1666] 
LOSS: 0.00049866, TIME: 16826.2s
STEP [117160], EPOCH [71/100], ITER [540/1666] 
LOSS: 0.00090204, TIME: 16829.1s
STEP [117180], EPOCH [71/100], ITER [560/1666] 
LOSS: 0.00063342, TIME: 16831.9s
STEP [117200], EPOCH [71/100], ITER [580/1666] 
LOSS: 0.00049626, TIME: 16834.8s
STEP [117220], EPOCH [71/100], ITER [600/1666] 
LOSS: 0.00037884, TIME: 16837.6s
STEP [117240], EPOCH [71/100], ITER [620/1666] 
LOSS: 0.00036343, TIME: 16840.5s
STEP [117260], EPOCH [71/100], ITER [640/1666] 
LOSS: 0.00065757, TIME: 16843.3s
STEP [117280], EPOCH [71/100], ITER [660/1666] 
LOSS: 0.00034756, TIME: 16846.2s
STEP [117300], EPOCH [71/100], ITER [680/1666] 
LOSS: 0.00112651, TIME: 16849.1s
STEP [117320], EPOCH [71/100], ITER [700/1666] 
LOSS: 0.00050003, TIME: 16851.9s
STEP [117340], EPOCH [71/100], ITER [720/1666] 
LOSS: 0.00083814, TIME: 16854.8s
STEP [117360], EPOCH [71/100], ITER [740/1666] 
LOSS: 0.00085236, TIME: 16857.6s
STEP [117380], EPOCH [71/100], ITER [760/1666] 
LOSS: 0.00063530, TIME: 16860.5s
STEP [117400], EPOCH [71/100], ITER [780/1666] 
LOSS: 0.00058303, TIME: 16863.3s
STEP [117420], EPOCH [71/100], ITER [800/1666] 
LOSS: 0.00076786, TIME: 16866.2s
STEP [117440], EPOCH [71/100], ITER [820/1666] 
LOSS: 0.00062384, TIME: 16869.0s
STEP [117460], EPOCH [71/100], ITER [840/1666] 
LOSS: 0.00055683, TIME: 16871.9s
STEP [117480], EPOCH [71/100], ITER [860/1666] 
LOSS: 0.00053286, TIME: 16874.7s
STEP [117500], EPOCH [71/100], ITER [880/1666] 
LOSS: 0.00055804, TIME: 16877.6s
STEP [117520], EPOCH [71/100], ITER [900/1666] 
LOSS: 0.00034115, TIME: 16880.5s
STEP [117540], EPOCH [71/100], ITER [920/1666] 
LOSS: 0.00042285, TIME: 16883.3s
STEP [117560], EPOCH [71/100], ITER [940/1666] 
LOSS: 0.00038835, TIME: 16886.2s
STEP [117580], EPOCH [71/100], ITER [960/1666] 
LOSS: 0.00067609, TIME: 16889.0s
STEP [117600], EPOCH [71/100], ITER [980/1666] 
LOSS: 0.00079727, TIME: 16891.9s
STEP [117620], EPOCH [71/100], ITER [1000/1666] 
LOSS: 0.00049890, TIME: 16894.7s
STEP [117640], EPOCH [71/100], ITER [1020/1666] 
LOSS: 0.00064596, TIME: 16897.6s
STEP [117660], EPOCH [71/100], ITER [1040/1666] 
LOSS: 0.00067578, TIME: 16900.4s
STEP [117680], EPOCH [71/100], ITER [1060/1666] 
LOSS: 0.00054862, TIME: 16903.3s
STEP [117700], EPOCH [71/100], ITER [1080/1666] 
LOSS: 0.00037887, TIME: 16906.1s
STEP [117720], EPOCH [71/100], ITER [1100/1666] 
LOSS: 0.00043326, TIME: 16909.0s
STEP [117740], EPOCH [71/100], ITER [1120/1666] 
LOSS: 0.00073402, TIME: 16911.8s
STEP [117760], EPOCH [71/100], ITER [1140/1666] 
LOSS: 0.00085687, TIME: 16914.7s
STEP [117780], EPOCH [71/100], ITER [1160/1666] 
LOSS: 0.00045971, TIME: 16917.6s
STEP [117800], EPOCH [71/100], ITER [1180/1666] 
LOSS: 0.00071008, TIME: 16920.4s
STEP [117820], EPOCH [71/100], ITER [1200/1666] 
LOSS: 0.00055257, TIME: 16923.3s
STEP [117840], EPOCH [71/100], ITER [1220/1666] 
LOSS: 0.00045638, TIME: 16926.1s
STEP [117860], EPOCH [71/100], ITER [1240/1666] 
LOSS: 0.00085773, TIME: 16929.0s
STEP [117880], EPOCH [71/100], ITER [1260/1666] 
LOSS: 0.00075734, TIME: 16931.8s
STEP [117900], EPOCH [71/100], ITER [1280/1666] 
LOSS: 0.00070731, TIME: 16934.7s
STEP [117920], EPOCH [71/100], ITER [1300/1666] 
LOSS: 0.00062774, TIME: 16937.5s
STEP [117940], EPOCH [71/100], ITER [1320/1666] 
LOSS: 0.00078947, TIME: 16940.4s
STEP [117960], EPOCH [71/100], ITER [1340/1666] 
LOSS: 0.00093833, TIME: 16943.2s
STEP [117980], EPOCH [71/100], ITER [1360/1666] 
LOSS: 0.00088024, TIME: 16946.1s
STEP [118000], EPOCH [71/100], ITER [1380/1666] 
LOSS: 0.00081323, TIME: 16948.9s
STEP [118020], EPOCH [71/100], ITER [1400/1666] 
LOSS: 0.00066718, TIME: 16951.9s
STEP [118040], EPOCH [71/100], ITER [1420/1666] 
LOSS: 0.00062745, TIME: 16954.7s
STEP [118060], EPOCH [71/100], ITER [1440/1666] 
LOSS: 0.00043483, TIME: 16957.6s
STEP [118080], EPOCH [71/100], ITER [1460/1666] 
LOSS: 0.00093072, TIME: 16960.4s
STEP [118100], EPOCH [71/100], ITER [1480/1666] 
LOSS: 0.00065489, TIME: 16963.3s
STEP [118120], EPOCH [71/100], ITER [1500/1666] 
LOSS: 0.00076578, TIME: 16966.1s
STEP [118140], EPOCH [71/100], ITER [1520/1666] 
LOSS: 0.00062348, TIME: 16969.0s
STEP [118160], EPOCH [71/100], ITER [1540/1666] 
LOSS: 0.00066819, TIME: 16971.8s
STEP [118180], EPOCH [71/100], ITER [1560/1666] 
LOSS: 0.00027083, TIME: 16974.7s
STEP [118200], EPOCH [71/100], ITER [1580/1666] 
LOSS: 0.00052603, TIME: 16977.5s
STEP [118220], EPOCH [71/100], ITER [1600/1666] 
LOSS: 0.00048754, TIME: 16980.4s
STEP [118240], EPOCH [71/100], ITER [1620/1666] 
LOSS: 0.00052333, TIME: 16983.3s
STEP [118260], EPOCH [71/100], ITER [1640/1666] 
LOSS: 0.00037322, TIME: 16986.1s
STEP [118280], EPOCH [71/100], ITER [1660/1666] 
LOSS: 0.00041684, TIME: 16989.0s
STEP [118300], EPOCH [72/100], ITER [14/1666] 
LOSS: 0.00063579, TIME: 16993.2s
STEP [118320], EPOCH [72/100], ITER [34/1666] 
LOSS: 0.00069780, TIME: 16996.1s
STEP [118340], EPOCH [72/100], ITER [54/1666] 
LOSS: 0.00079996, TIME: 16998.9s
STEP [118360], EPOCH [72/100], ITER [74/1666] 
LOSS: 0.00052550, TIME: 17001.8s
STEP [118380], EPOCH [72/100], ITER [94/1666] 
LOSS: 0.00075499, TIME: 17004.6s
STEP [118400], EPOCH [72/100], ITER [114/1666] 
LOSS: 0.00032837, TIME: 17007.5s
STEP [118420], EPOCH [72/100], ITER [134/1666] 
LOSS: 0.00054866, TIME: 17010.3s
STEP [118440], EPOCH [72/100], ITER [154/1666] 
LOSS: 0.00076953, TIME: 17013.2s
STEP [118460], EPOCH [72/100], ITER [174/1666] 
LOSS: 0.00057958, TIME: 17016.1s
STEP [118480], EPOCH [72/100], ITER [194/1666] 
LOSS: 0.00042417, TIME: 17018.9s
STEP [118500], EPOCH [72/100], ITER [214/1666] 
LOSS: 0.00051917, TIME: 17021.8s
STEP [118520], EPOCH [72/100], ITER [234/1666] 
LOSS: 0.00052136, TIME: 17024.6s
STEP [118540], EPOCH [72/100], ITER [254/1666] 
LOSS: 0.00047936, TIME: 17027.5s
STEP [118560], EPOCH [72/100], ITER [274/1666] 
LOSS: 0.00050968, TIME: 17030.3s
STEP [118580], EPOCH [72/100], ITER [294/1666] 
LOSS: 0.00070538, TIME: 17033.2s
STEP [118600], EPOCH [72/100], ITER [314/1666] 
LOSS: 0.00040734, TIME: 17036.0s
STEP [118620], EPOCH [72/100], ITER [334/1666] 
LOSS: 0.00075311, TIME: 17038.9s
STEP [118640], EPOCH [72/100], ITER [354/1666] 
LOSS: 0.00063279, TIME: 17041.7s
STEP [118660], EPOCH [72/100], ITER [374/1666] 
LOSS: 0.00043323, TIME: 17044.6s
STEP [118680], EPOCH [72/100], ITER [394/1666] 
LOSS: 0.00040786, TIME: 17047.4s
STEP [118700], EPOCH [72/100], ITER [414/1666] 
LOSS: 0.00055354, TIME: 17050.3s
STEP [118720], EPOCH [72/100], ITER [434/1666] 
LOSS: 0.00061912, TIME: 17053.1s
STEP [118740], EPOCH [72/100], ITER [454/1666] 
LOSS: 0.00062706, TIME: 17056.0s
STEP [118760], EPOCH [72/100], ITER [474/1666] 
LOSS: 0.00050199, TIME: 17058.8s
STEP [118780], EPOCH [72/100], ITER [494/1666] 
LOSS: 0.00037580, TIME: 17061.7s
STEP [118800], EPOCH [72/100], ITER [514/1666] 
LOSS: 0.00066147, TIME: 17064.6s
STEP [118820], EPOCH [72/100], ITER [534/1666] 
LOSS: 0.00037129, TIME: 17067.4s
STEP [118840], EPOCH [72/100], ITER [554/1666] 
LOSS: 0.00060089, TIME: 17070.3s
STEP [118860], EPOCH [72/100], ITER [574/1666] 
LOSS: 0.00050556, TIME: 17073.1s
STEP [118880], EPOCH [72/100], ITER [594/1666] 
LOSS: 0.00063010, TIME: 17076.0s
STEP [118900], EPOCH [72/100], ITER [614/1666] 
LOSS: 0.00057693, TIME: 17078.8s
STEP [118920], EPOCH [72/100], ITER [634/1666] 
LOSS: 0.00043816, TIME: 17081.7s
STEP [118940], EPOCH [72/100], ITER [654/1666] 
LOSS: 0.00036602, TIME: 17084.5s
STEP [118960], EPOCH [72/100], ITER [674/1666] 
LOSS: 0.00066556, TIME: 17087.4s
STEP [118980], EPOCH [72/100], ITER [694/1666] 
LOSS: 0.00048284, TIME: 17090.2s
STEP [119000], EPOCH [72/100], ITER [714/1666] 
LOSS: 0.00035243, TIME: 17093.1s
STEP [119020], EPOCH [72/100], ITER [734/1666] 
LOSS: 0.00045948, TIME: 17096.0s
STEP [119040], EPOCH [72/100], ITER [754/1666] 
LOSS: 0.00061623, TIME: 17098.9s
STEP [119060], EPOCH [72/100], ITER [774/1666] 
LOSS: 0.00067061, TIME: 17101.7s
STEP [119080], EPOCH [72/100], ITER [794/1666] 
LOSS: 0.00060620, TIME: 17104.6s
STEP [119100], EPOCH [72/100], ITER [814/1666] 
LOSS: 0.00071059, TIME: 17107.4s
STEP [119120], EPOCH [72/100], ITER [834/1666] 
LOSS: 0.00081979, TIME: 17110.3s
STEP [119140], EPOCH [72/100], ITER [854/1666] 
LOSS: 0.00028141, TIME: 17113.2s
STEP [119160], EPOCH [72/100], ITER [874/1666] 
LOSS: 0.00068763, TIME: 17116.0s
STEP [119180], EPOCH [72/100], ITER [894/1666] 
LOSS: 0.00053485, TIME: 17118.9s
STEP [119200], EPOCH [72/100], ITER [914/1666] 
LOSS: 0.00065025, TIME: 17121.7s
STEP [119220], EPOCH [72/100], ITER [934/1666] 
LOSS: 0.00032129, TIME: 17124.6s
STEP [119240], EPOCH [72/100], ITER [954/1666] 
LOSS: 0.00031909, TIME: 17127.4s
STEP [119260], EPOCH [72/100], ITER [974/1666] 
LOSS: 0.00039712, TIME: 17130.3s
STEP [119280], EPOCH [72/100], ITER [994/1666] 
LOSS: 0.00080836, TIME: 17133.1s
STEP [119300], EPOCH [72/100], ITER [1014/1666] 
LOSS: 0.00062072, TIME: 17136.0s
STEP [119320], EPOCH [72/100], ITER [1034/1666] 
LOSS: 0.00065748, TIME: 17138.8s
STEP [119340], EPOCH [72/100], ITER [1054/1666] 
LOSS: 0.00048512, TIME: 17141.7s
STEP [119360], EPOCH [72/100], ITER [1074/1666] 
LOSS: 0.00070359, TIME: 17144.5s
STEP [119380], EPOCH [72/100], ITER [1094/1666] 
LOSS: 0.00066526, TIME: 17147.4s
STEP [119400], EPOCH [72/100], ITER [1114/1666] 
LOSS: 0.00050521, TIME: 17150.2s
STEP [119420], EPOCH [72/100], ITER [1134/1666] 
LOSS: 0.00093102, TIME: 17153.1s
STEP [119440], EPOCH [72/100], ITER [1154/1666] 
LOSS: 0.00049684, TIME: 17156.0s
STEP [119460], EPOCH [72/100], ITER [1174/1666] 
LOSS: 0.00049870, TIME: 17158.8s
STEP [119480], EPOCH [72/100], ITER [1194/1666] 
LOSS: 0.00051729, TIME: 17161.7s
STEP [119500], EPOCH [72/100], ITER [1214/1666] 
LOSS: 0.00042578, TIME: 17164.5s
STEP [119520], EPOCH [72/100], ITER [1234/1666] 
LOSS: 0.00041452, TIME: 17167.4s
STEP [119540], EPOCH [72/100], ITER [1254/1666] 
LOSS: 0.00074110, TIME: 17170.2s
STEP [119560], EPOCH [72/100], ITER [1274/1666] 
LOSS: 0.00040915, TIME: 17173.1s
STEP [119580], EPOCH [72/100], ITER [1294/1666] 
LOSS: 0.00036491, TIME: 17175.9s
STEP [119600], EPOCH [72/100], ITER [1314/1666] 
LOSS: 0.00070139, TIME: 17178.8s
STEP [119620], EPOCH [72/100], ITER [1334/1666] 
LOSS: 0.00045766, TIME: 17181.6s
STEP [119640], EPOCH [72/100], ITER [1354/1666] 
LOSS: 0.00059535, TIME: 17184.5s
STEP [119660], EPOCH [72/100], ITER [1374/1666] 
LOSS: 0.00039133, TIME: 17187.4s
STEP [119680], EPOCH [72/100], ITER [1394/1666] 
LOSS: 0.00043709, TIME: 17190.2s
STEP [119700], EPOCH [72/100], ITER [1414/1666] 
LOSS: 0.00107566, TIME: 17193.1s
STEP [119720], EPOCH [72/100], ITER [1434/1666] 
LOSS: 0.00043453, TIME: 17195.9s
STEP [119740], EPOCH [72/100], ITER [1454/1666] 
LOSS: 0.00070681, TIME: 17198.8s
STEP [119760], EPOCH [72/100], ITER [1474/1666] 
LOSS: 0.00062129, TIME: 17201.6s
STEP [119780], EPOCH [72/100], ITER [1494/1666] 
LOSS: 0.00044901, TIME: 17204.5s
STEP [119800], EPOCH [72/100], ITER [1514/1666] 
LOSS: 0.00058325, TIME: 17207.3s
STEP [119820], EPOCH [72/100], ITER [1534/1666] 
LOSS: 0.00066045, TIME: 17210.2s
STEP [119840], EPOCH [72/100], ITER [1554/1666] 
LOSS: 0.00085158, TIME: 17213.0s
STEP [119860], EPOCH [72/100], ITER [1574/1666] 
LOSS: 0.00036402, TIME: 17215.9s
STEP [119880], EPOCH [72/100], ITER [1594/1666] 
LOSS: 0.00072797, TIME: 17218.7s
STEP [119900], EPOCH [72/100], ITER [1614/1666] 
LOSS: 0.00035761, TIME: 17221.6s
STEP [119920], EPOCH [72/100], ITER [1634/1666] 
LOSS: 0.00068175, TIME: 17224.4s
STEP [119940], EPOCH [72/100], ITER [1654/1666] 
LOSS: 0.00071006, TIME: 17227.3s
STEP [119960], EPOCH [73/100], ITER [8/1666] 
LOSS: 0.00082261, TIME: 17231.5s
STEP [119980], EPOCH [73/100], ITER [28/1666] 
LOSS: 0.00086697, TIME: 17234.4s
STEP [120000], EPOCH [73/100], ITER [48/1666] 
LOSS: 0.00064060, TIME: 17237.2s
STEP [120020], EPOCH [73/100], ITER [68/1666] 
LOSS: 0.00041402, TIME: 17240.2s
STEP [120040], EPOCH [73/100], ITER [88/1666] 
LOSS: 0.00062547, TIME: 17243.0s
STEP [120060], EPOCH [73/100], ITER [108/1666] 
LOSS: 0.00038224, TIME: 17245.9s
STEP [120080], EPOCH [73/100], ITER [128/1666] 
LOSS: 0.00046368, TIME: 17248.7s
STEP [120100], EPOCH [73/100], ITER [148/1666] 
LOSS: 0.00056312, TIME: 17251.6s
STEP [120120], EPOCH [73/100], ITER [168/1666] 
LOSS: 0.00057239, TIME: 17254.4s
STEP [120140], EPOCH [73/100], ITER [188/1666] 
LOSS: 0.00035545, TIME: 17257.3s
STEP [120160], EPOCH [73/100], ITER [208/1666] 
LOSS: 0.00052677, TIME: 17260.1s
STEP [120180], EPOCH [73/100], ITER [228/1666] 
LOSS: 0.00074318, TIME: 17263.0s
STEP [120200], EPOCH [73/100], ITER [248/1666] 
LOSS: 0.00080886, TIME: 17265.8s
STEP [120220], EPOCH [73/100], ITER [268/1666] 
LOSS: 0.00047105, TIME: 17268.7s
STEP [120240], EPOCH [73/100], ITER [288/1666] 
LOSS: 0.00079100, TIME: 17271.5s
STEP [120260], EPOCH [73/100], ITER [308/1666] 
LOSS: 0.00045300, TIME: 17274.4s
STEP [120280], EPOCH [73/100], ITER [328/1666] 
LOSS: 0.00062208, TIME: 17277.2s
STEP [120300], EPOCH [73/100], ITER [348/1666] 
LOSS: 0.00060962, TIME: 17280.1s
STEP [120320], EPOCH [73/100], ITER [368/1666] 
LOSS: 0.00051795, TIME: 17282.9s
STEP [120340], EPOCH [73/100], ITER [388/1666] 
LOSS: 0.00067713, TIME: 17285.8s
STEP [120360], EPOCH [73/100], ITER [408/1666] 
LOSS: 0.00065858, TIME: 17288.6s
STEP [120380], EPOCH [73/100], ITER [428/1666] 
LOSS: 0.00052752, TIME: 17291.5s
STEP [120400], EPOCH [73/100], ITER [448/1666] 
LOSS: 0.00044790, TIME: 17294.3s
STEP [120420], EPOCH [73/100], ITER [468/1666] 
LOSS: 0.00043847, TIME: 17297.2s
STEP [120440], EPOCH [73/100], ITER [488/1666] 
LOSS: 0.00062473, TIME: 17300.0s
STEP [120460], EPOCH [73/100], ITER [508/1666] 
LOSS: 0.00061959, TIME: 17302.9s
STEP [120480], EPOCH [73/100], ITER [528/1666] 
LOSS: 0.00052418, TIME: 17305.7s
STEP [120500], EPOCH [73/100], ITER [548/1666] 
LOSS: 0.00046991, TIME: 17308.6s
STEP [120520], EPOCH [73/100], ITER [568/1666] 
LOSS: 0.00067175, TIME: 17311.4s
STEP [120540], EPOCH [73/100], ITER [588/1666] 
LOSS: 0.00055889, TIME: 17314.3s
STEP [120560], EPOCH [73/100], ITER [608/1666] 
LOSS: 0.00071951, TIME: 17317.1s
STEP [120580], EPOCH [73/100], ITER [628/1666] 
LOSS: 0.00061915, TIME: 17320.0s
STEP [120600], EPOCH [73/100], ITER [648/1666] 
LOSS: 0.00059805, TIME: 17322.8s
STEP [120620], EPOCH [73/100], ITER [668/1666] 
LOSS: 0.00057508, TIME: 17325.7s
STEP [120640], EPOCH [73/100], ITER [688/1666] 
LOSS: 0.00073704, TIME: 17328.5s
STEP [120660], EPOCH [73/100], ITER [708/1666] 
LOSS: 0.00064092, TIME: 17331.4s
STEP [120680], EPOCH [73/100], ITER [728/1666] 
LOSS: 0.00067443, TIME: 17334.2s
STEP [120700], EPOCH [73/100], ITER [748/1666] 
LOSS: 0.00045135, TIME: 17337.1s
STEP [120720], EPOCH [73/100], ITER [768/1666] 
LOSS: 0.00048295, TIME: 17339.9s
STEP [120740], EPOCH [73/100], ITER [788/1666] 
LOSS: 0.00084587, TIME: 17342.8s
STEP [120760], EPOCH [73/100], ITER [808/1666] 
LOSS: 0.00058820, TIME: 17345.7s
STEP [120780], EPOCH [73/100], ITER [828/1666] 
LOSS: 0.00079512, TIME: 17348.5s
STEP [120800], EPOCH [73/100], ITER [848/1666] 
LOSS: 0.00049640, TIME: 17351.3s
STEP [120820], EPOCH [73/100], ITER [868/1666] 
LOSS: 0.00061232, TIME: 17354.2s
STEP [120840], EPOCH [73/100], ITER [888/1666] 
LOSS: 0.00057953, TIME: 17357.1s
STEP [120860], EPOCH [73/100], ITER [908/1666] 
LOSS: 0.00028961, TIME: 17359.9s
STEP [120880], EPOCH [73/100], ITER [928/1666] 
LOSS: 0.00058432, TIME: 17362.8s
STEP [120900], EPOCH [73/100], ITER [948/1666] 
LOSS: 0.00052264, TIME: 17365.6s
STEP [120920], EPOCH [73/100], ITER [968/1666] 
LOSS: 0.00088480, TIME: 17368.5s
STEP [120940], EPOCH [73/100], ITER [988/1666] 
LOSS: 0.00050289, TIME: 17371.3s
STEP [120960], EPOCH [73/100], ITER [1008/1666] 
LOSS: 0.00067431, TIME: 17374.2s
STEP [120980], EPOCH [73/100], ITER [1028/1666] 
LOSS: 0.00048562, TIME: 17377.0s
STEP [121000], EPOCH [73/100], ITER [1048/1666] 
LOSS: 0.00103410, TIME: 17379.9s
STEP [121020], EPOCH [73/100], ITER [1068/1666] 
LOSS: 0.00056069, TIME: 17382.8s
STEP [121040], EPOCH [73/100], ITER [1088/1666] 
LOSS: 0.00049787, TIME: 17385.7s
STEP [121060], EPOCH [73/100], ITER [1108/1666] 
LOSS: 0.00090661, TIME: 17388.5s
STEP [121080], EPOCH [73/100], ITER [1128/1666] 
LOSS: 0.00054046, TIME: 17391.4s
STEP [121100], EPOCH [73/100], ITER [1148/1666] 
LOSS: 0.00045977, TIME: 17394.2s
STEP [121120], EPOCH [73/100], ITER [1168/1666] 
LOSS: 0.00064029, TIME: 17397.1s
STEP [121140], EPOCH [73/100], ITER [1188/1666] 
LOSS: 0.00040645, TIME: 17399.9s
STEP [121160], EPOCH [73/100], ITER [1208/1666] 
LOSS: 0.00058282, TIME: 17402.8s
STEP [121180], EPOCH [73/100], ITER [1228/1666] 
LOSS: 0.00057863, TIME: 17405.6s
STEP [121200], EPOCH [73/100], ITER [1248/1666] 
LOSS: 0.00040869, TIME: 17408.5s
STEP [121220], EPOCH [73/100], ITER [1268/1666] 
LOSS: 0.00053980, TIME: 17411.3s
STEP [121240], EPOCH [73/100], ITER [1288/1666] 
LOSS: 0.00053042, TIME: 17414.2s
STEP [121260], EPOCH [73/100], ITER [1308/1666] 
LOSS: 0.00046900, TIME: 17417.0s
STEP [121280], EPOCH [73/100], ITER [1328/1666] 
LOSS: 0.00066419, TIME: 17419.9s
STEP [121300], EPOCH [73/100], ITER [1348/1666] 
LOSS: 0.00067684, TIME: 17422.7s
STEP [121320], EPOCH [73/100], ITER [1368/1666] 
LOSS: 0.00068368, TIME: 17425.6s
STEP [121340], EPOCH [73/100], ITER [1388/1666] 
LOSS: 0.00080478, TIME: 17428.4s
STEP [121360], EPOCH [73/100], ITER [1408/1666] 
LOSS: 0.00076534, TIME: 17431.3s
STEP [121380], EPOCH [73/100], ITER [1428/1666] 
LOSS: 0.00058058, TIME: 17434.1s
STEP [121400], EPOCH [73/100], ITER [1448/1666] 
LOSS: 0.00068411, TIME: 17437.0s
STEP [121420], EPOCH [73/100], ITER [1468/1666] 
LOSS: 0.00036646, TIME: 17439.8s
STEP [121440], EPOCH [73/100], ITER [1488/1666] 
LOSS: 0.00060809, TIME: 17442.7s
STEP [121460], EPOCH [73/100], ITER [1508/1666] 
LOSS: 0.00033397, TIME: 17445.5s
STEP [121480], EPOCH [73/100], ITER [1528/1666] 
LOSS: 0.00043347, TIME: 17448.4s
STEP [121500], EPOCH [73/100], ITER [1548/1666] 
LOSS: 0.00078171, TIME: 17451.2s
STEP [121520], EPOCH [73/100], ITER [1568/1666] 
LOSS: 0.00052741, TIME: 17454.1s
STEP [121540], EPOCH [73/100], ITER [1588/1666] 
LOSS: 0.00073371, TIME: 17456.9s
STEP [121560], EPOCH [73/100], ITER [1608/1666] 
LOSS: 0.00062603, TIME: 17459.8s
STEP [121580], EPOCH [73/100], ITER [1628/1666] 
LOSS: 0.00062871, TIME: 17462.6s
STEP [121600], EPOCH [73/100], ITER [1648/1666] 
LOSS: 0.00066653, TIME: 17465.5s
STEP [121620], EPOCH [74/100], ITER [2/1666] 
LOSS: 0.00043632, TIME: 17469.9s
STEP [121640], EPOCH [74/100], ITER [22/1666] 
LOSS: 0.00075978, TIME: 17472.7s
STEP [121660], EPOCH [74/100], ITER [42/1666] 
LOSS: 0.00065292, TIME: 17475.6s
STEP [121680], EPOCH [74/100], ITER [62/1666] 
LOSS: 0.00059901, TIME: 17478.4s
STEP [121700], EPOCH [74/100], ITER [82/1666] 
LOSS: 0.00048857, TIME: 17481.3s
STEP [121720], EPOCH [74/100], ITER [102/1666] 
LOSS: 0.00108281, TIME: 17484.2s
STEP [121740], EPOCH [74/100], ITER [122/1666] 
LOSS: 0.00047907, TIME: 17487.0s
STEP [121760], EPOCH [74/100], ITER [142/1666] 
LOSS: 0.00101292, TIME: 17489.9s
STEP [121780], EPOCH [74/100], ITER [162/1666] 
LOSS: 0.00086290, TIME: 17492.7s
STEP [121800], EPOCH [74/100], ITER [182/1666] 
LOSS: 0.00045375, TIME: 17495.6s
STEP [121820], EPOCH [74/100], ITER [202/1666] 
LOSS: 0.00051747, TIME: 17498.4s
STEP [121840], EPOCH [74/100], ITER [222/1666] 
LOSS: 0.00068232, TIME: 17501.3s
STEP [121860], EPOCH [74/100], ITER [242/1666] 
LOSS: 0.00088493, TIME: 17504.1s
STEP [121880], EPOCH [74/100], ITER [262/1666] 
LOSS: 0.00060490, TIME: 17507.0s
STEP [121900], EPOCH [74/100], ITER [282/1666] 
LOSS: 0.00062853, TIME: 17509.8s
STEP [121920], EPOCH [74/100], ITER [302/1666] 
LOSS: 0.00054267, TIME: 17512.7s
STEP [121940], EPOCH [74/100], ITER [322/1666] 
LOSS: 0.00040255, TIME: 17515.5s
STEP [121960], EPOCH [74/100], ITER [342/1666] 
LOSS: 0.00042795, TIME: 17518.4s
STEP [121980], EPOCH [74/100], ITER [362/1666] 
LOSS: 0.00059654, TIME: 17521.2s
STEP [122000], EPOCH [74/100], ITER [382/1666] 
LOSS: 0.00048674, TIME: 17524.1s
STEP [122020], EPOCH [74/100], ITER [402/1666] 
LOSS: 0.00054523, TIME: 17527.0s
STEP [122040], EPOCH [74/100], ITER [422/1666] 
LOSS: 0.00068014, TIME: 17529.9s
STEP [122060], EPOCH [74/100], ITER [442/1666] 
LOSS: 0.00035780, TIME: 17532.7s
STEP [122080], EPOCH [74/100], ITER [462/1666] 
LOSS: 0.00054405, TIME: 17535.6s
STEP [122100], EPOCH [74/100], ITER [482/1666] 
LOSS: 0.00040857, TIME: 17538.4s
STEP [122120], EPOCH [74/100], ITER [502/1666] 
LOSS: 0.00055421, TIME: 17541.3s
STEP [122140], EPOCH [74/100], ITER [522/1666] 
LOSS: 0.00066613, TIME: 17544.1s
STEP [122160], EPOCH [74/100], ITER [542/1666] 
LOSS: 0.00083244, TIME: 17547.0s
STEP [122180], EPOCH [74/100], ITER [562/1666] 
LOSS: 0.00051868, TIME: 17549.9s
STEP [122200], EPOCH [74/100], ITER [582/1666] 
LOSS: 0.00047556, TIME: 17552.7s
STEP [122220], EPOCH [74/100], ITER [602/1666] 
LOSS: 0.00032655, TIME: 17555.6s
STEP [122240], EPOCH [74/100], ITER [622/1666] 
LOSS: 0.00123351, TIME: 17558.4s
STEP [122260], EPOCH [74/100], ITER [642/1666] 
LOSS: 0.00056305, TIME: 17561.3s
STEP [122280], EPOCH [74/100], ITER [662/1666] 
LOSS: 0.00048373, TIME: 17564.1s
STEP [122300], EPOCH [74/100], ITER [682/1666] 
LOSS: 0.00030311, TIME: 17567.0s
STEP [122320], EPOCH [74/100], ITER [702/1666] 
LOSS: 0.00085141, TIME: 17569.8s
STEP [122340], EPOCH [74/100], ITER [722/1666] 
LOSS: 0.00052097, TIME: 17572.7s
STEP [122360], EPOCH [74/100], ITER [742/1666] 
LOSS: 0.00084698, TIME: 17575.5s
STEP [122380], EPOCH [74/100], ITER [762/1666] 
LOSS: 0.00067669, TIME: 17578.4s
STEP [122400], EPOCH [74/100], ITER [782/1666] 
LOSS: 0.00057386, TIME: 17581.3s
STEP [122420], EPOCH [74/100], ITER [802/1666] 
LOSS: 0.00076975, TIME: 17584.1s
STEP [122440], EPOCH [74/100], ITER [822/1666] 
LOSS: 0.00034718, TIME: 17587.0s
STEP [122460], EPOCH [74/100], ITER [842/1666] 
LOSS: 0.00050492, TIME: 17589.8s
STEP [122480], EPOCH [74/100], ITER [862/1666] 
LOSS: 0.00060055, TIME: 17592.7s
STEP [122500], EPOCH [74/100], ITER [882/1666] 
LOSS: 0.00058472, TIME: 17595.5s
STEP [122520], EPOCH [74/100], ITER [902/1666] 
LOSS: 0.00058476, TIME: 17598.4s
STEP [122540], EPOCH [74/100], ITER [922/1666] 
LOSS: 0.00049006, TIME: 17601.2s
STEP [122560], EPOCH [74/100], ITER [942/1666] 
LOSS: 0.00053126, TIME: 17604.1s
STEP [122580], EPOCH [74/100], ITER [962/1666] 
LOSS: 0.00089796, TIME: 17606.9s
STEP [122600], EPOCH [74/100], ITER [982/1666] 
LOSS: 0.00086005, TIME: 17609.8s
STEP [122620], EPOCH [74/100], ITER [1002/1666] 
LOSS: 0.00046470, TIME: 17612.7s
STEP [122640], EPOCH [74/100], ITER [1022/1666] 
LOSS: 0.00062138, TIME: 17615.5s
STEP [122660], EPOCH [74/100], ITER [1042/1666] 
LOSS: 0.00034525, TIME: 17618.4s
STEP [122680], EPOCH [74/100], ITER [1062/1666] 
LOSS: 0.00042281, TIME: 17621.2s
STEP [122700], EPOCH [74/100], ITER [1082/1666] 
LOSS: 0.00065468, TIME: 17624.1s
STEP [122720], EPOCH [74/100], ITER [1102/1666] 
LOSS: 0.00031948, TIME: 17626.9s
STEP [122740], EPOCH [74/100], ITER [1122/1666] 
LOSS: 0.00049277, TIME: 17629.8s
STEP [122760], EPOCH [74/100], ITER [1142/1666] 
LOSS: 0.00060752, TIME: 17632.6s
STEP [122780], EPOCH [74/100], ITER [1162/1666] 
LOSS: 0.00056365, TIME: 17635.5s
STEP [122800], EPOCH [74/100], ITER [1182/1666] 
LOSS: 0.00046365, TIME: 17638.3s
STEP [122820], EPOCH [74/100], ITER [1202/1666] 
LOSS: 0.00049660, TIME: 17641.2s
STEP [122840], EPOCH [74/100], ITER [1222/1666] 
LOSS: 0.00041765, TIME: 17644.0s
STEP [122860], EPOCH [74/100], ITER [1242/1666] 
LOSS: 0.00047650, TIME: 17646.9s
STEP [122880], EPOCH [74/100], ITER [1262/1666] 
LOSS: 0.00043638, TIME: 17649.7s
STEP [122900], EPOCH [74/100], ITER [1282/1666] 
LOSS: 0.00042808, TIME: 17652.6s
STEP [122920], EPOCH [74/100], ITER [1302/1666] 
LOSS: 0.00072538, TIME: 17655.5s
STEP [122940], EPOCH [74/100], ITER [1322/1666] 
LOSS: 0.00041651, TIME: 17658.3s
STEP [122960], EPOCH [74/100], ITER [1342/1666] 
LOSS: 0.00047766, TIME: 17661.2s
STEP [122980], EPOCH [74/100], ITER [1362/1666] 
LOSS: 0.00056919, TIME: 17664.0s
STEP [123000], EPOCH [74/100], ITER [1382/1666] 
LOSS: 0.00075771, TIME: 17666.9s
STEP [123020], EPOCH [74/100], ITER [1402/1666] 
LOSS: 0.00044453, TIME: 17669.8s
STEP [123040], EPOCH [74/100], ITER [1422/1666] 
LOSS: 0.00057125, TIME: 17672.7s
STEP [123060], EPOCH [74/100], ITER [1442/1666] 
LOSS: 0.00058860, TIME: 17675.5s
STEP [123080], EPOCH [74/100], ITER [1462/1666] 
LOSS: 0.00077069, TIME: 17678.4s
STEP [123100], EPOCH [74/100], ITER [1482/1666] 
LOSS: 0.00085619, TIME: 17681.2s
STEP [123120], EPOCH [74/100], ITER [1502/1666] 
LOSS: 0.00073140, TIME: 17684.1s
STEP [123140], EPOCH [74/100], ITER [1522/1666] 
LOSS: 0.00080282, TIME: 17686.9s
STEP [123160], EPOCH [74/100], ITER [1542/1666] 
LOSS: 0.00063042, TIME: 17689.8s
STEP [123180], EPOCH [74/100], ITER [1562/1666] 
LOSS: 0.00058934, TIME: 17692.6s
STEP [123200], EPOCH [74/100], ITER [1582/1666] 
LOSS: 0.00061560, TIME: 17695.5s
STEP [123220], EPOCH [74/100], ITER [1602/1666] 
LOSS: 0.00050828, TIME: 17698.3s
STEP [123240], EPOCH [74/100], ITER [1622/1666] 
LOSS: 0.00063490, TIME: 17701.2s
STEP [123260], EPOCH [74/100], ITER [1642/1666] 
LOSS: 0.00056684, TIME: 17704.0s
STEP [123280], EPOCH [74/100], ITER [1662/1666] 
LOSS: 0.00087379, TIME: 17706.9s
STEP [123300], EPOCH [75/100], ITER [16/1666] 
LOSS: 0.00079103, TIME: 17711.2s
STEP [123320], EPOCH [75/100], ITER [36/1666] 
LOSS: 0.00071579, TIME: 17714.1s
STEP [123340], EPOCH [75/100], ITER [56/1666] 
LOSS: 0.00049326, TIME: 17716.9s
STEP [123360], EPOCH [75/100], ITER [76/1666] 
LOSS: 0.00049929, TIME: 17719.8s
STEP [123380], EPOCH [75/100], ITER [96/1666] 
LOSS: 0.00055254, TIME: 17722.6s
STEP [123400], EPOCH [75/100], ITER [116/1666] 
LOSS: 0.00086329, TIME: 17725.5s
STEP [123420], EPOCH [75/100], ITER [136/1666] 
LOSS: 0.00049506, TIME: 17728.3s
STEP [123440], EPOCH [75/100], ITER [156/1666] 
LOSS: 0.00058083, TIME: 17731.2s
STEP [123460], EPOCH [75/100], ITER [176/1666] 
LOSS: 0.00064021, TIME: 17734.0s
STEP [123480], EPOCH [75/100], ITER [196/1666] 
LOSS: 0.00038654, TIME: 17736.9s
STEP [123500], EPOCH [75/100], ITER [216/1666] 
LOSS: 0.00075328, TIME: 17739.7s
STEP [123520], EPOCH [75/100], ITER [236/1666] 
LOSS: 0.00067122, TIME: 17742.6s
STEP [123540], EPOCH [75/100], ITER [256/1666] 
LOSS: 0.00040842, TIME: 17745.5s
STEP [123560], EPOCH [75/100], ITER [276/1666] 
LOSS: 0.00083332, TIME: 17748.3s
STEP [123580], EPOCH [75/100], ITER [296/1666] 
LOSS: 0.00124258, TIME: 17751.2s
STEP [123600], EPOCH [75/100], ITER [316/1666] 
LOSS: 0.00056092, TIME: 17754.0s
STEP [123620], EPOCH [75/100], ITER [336/1666] 
LOSS: 0.00056610, TIME: 17756.9s
STEP [123640], EPOCH [75/100], ITER [356/1666] 
LOSS: 0.00041721, TIME: 17759.7s
STEP [123660], EPOCH [75/100], ITER [376/1666] 
LOSS: 0.00056439, TIME: 17762.6s
STEP [123680], EPOCH [75/100], ITER [396/1666] 
LOSS: 0.00044449, TIME: 17765.4s
STEP [123700], EPOCH [75/100], ITER [416/1666] 
LOSS: 0.00056975, TIME: 17768.3s
STEP [123720], EPOCH [75/100], ITER [436/1666] 
LOSS: 0.00118071, TIME: 17771.1s
STEP [123740], EPOCH [75/100], ITER [456/1666] 
LOSS: 0.00062610, TIME: 17774.0s
STEP [123760], EPOCH [75/100], ITER [476/1666] 
LOSS: 0.00063726, TIME: 17776.8s
STEP [123780], EPOCH [75/100], ITER [496/1666] 
LOSS: 0.00061743, TIME: 17779.7s
STEP [123800], EPOCH [75/100], ITER [516/1666] 
LOSS: 0.00058817, TIME: 17782.6s
STEP [123820], EPOCH [75/100], ITER [536/1666] 
LOSS: 0.00058243, TIME: 17785.4s
STEP [123840], EPOCH [75/100], ITER [556/1666] 
LOSS: 0.00051479, TIME: 17788.3s
STEP [123860], EPOCH [75/100], ITER [576/1666] 
LOSS: 0.00088012, TIME: 17791.1s
STEP [123880], EPOCH [75/100], ITER [596/1666] 
LOSS: 0.00051751, TIME: 17794.0s
STEP [123900], EPOCH [75/100], ITER [616/1666] 
LOSS: 0.00045654, TIME: 17796.8s
STEP [123920], EPOCH [75/100], ITER [636/1666] 
LOSS: 0.00040466, TIME: 17799.7s
STEP [123940], EPOCH [75/100], ITER [656/1666] 
LOSS: 0.00045692, TIME: 17802.5s
STEP [123960], EPOCH [75/100], ITER [676/1666] 
LOSS: 0.00068147, TIME: 17805.4s
STEP [123980], EPOCH [75/100], ITER [696/1666] 
LOSS: 0.00063886, TIME: 17808.2s
STEP [124000], EPOCH [75/100], ITER [716/1666] 
LOSS: 0.00059594, TIME: 17811.1s
STEP [124020], EPOCH [75/100], ITER [736/1666] 
LOSS: 0.00030435, TIME: 17814.0s
STEP [124040], EPOCH [75/100], ITER [756/1666] 
LOSS: 0.00046606, TIME: 17816.9s
STEP [124060], EPOCH [75/100], ITER [776/1666] 
LOSS: 0.00064114, TIME: 17819.7s
STEP [124080], EPOCH [75/100], ITER [796/1666] 
LOSS: 0.00071418, TIME: 17822.6s
STEP [124100], EPOCH [75/100], ITER [816/1666] 
LOSS: 0.00068683, TIME: 17825.4s
STEP [124120], EPOCH [75/100], ITER [836/1666] 
LOSS: 0.00074224, TIME: 17828.3s
STEP [124140], EPOCH [75/100], ITER [856/1666] 
LOSS: 0.00075835, TIME: 17831.1s
STEP [124160], EPOCH [75/100], ITER [876/1666] 
LOSS: 0.00063566, TIME: 17834.0s
STEP [124180], EPOCH [75/100], ITER [896/1666] 
LOSS: 0.00070740, TIME: 17836.8s
STEP [124200], EPOCH [75/100], ITER [916/1666] 
LOSS: 0.00065913, TIME: 17839.7s
STEP [124220], EPOCH [75/100], ITER [936/1666] 
LOSS: 0.00039658, TIME: 17842.5s
STEP [124240], EPOCH [75/100], ITER [956/1666] 
LOSS: 0.00041387, TIME: 17845.4s
STEP [124260], EPOCH [75/100], ITER [976/1666] 
LOSS: 0.00076283, TIME: 17848.3s
STEP [124280], EPOCH [75/100], ITER [996/1666] 
LOSS: 0.00061595, TIME: 17851.1s
STEP [124300], EPOCH [75/100], ITER [1016/1666] 
LOSS: 0.00062375, TIME: 17854.0s
STEP [124320], EPOCH [75/100], ITER [1036/1666] 
LOSS: 0.00081111, TIME: 17856.8s
STEP [124340], EPOCH [75/100], ITER [1056/1666] 
LOSS: 0.00059131, TIME: 17859.7s
STEP [124360], EPOCH [75/100], ITER [1076/1666] 
LOSS: 0.00068693, TIME: 17862.5s
STEP [124380], EPOCH [75/100], ITER [1096/1666] 
LOSS: 0.00053642, TIME: 17865.4s
STEP [124400], EPOCH [75/100], ITER [1116/1666] 
LOSS: 0.00070296, TIME: 17868.2s
STEP [124420], EPOCH [75/100], ITER [1136/1666] 
LOSS: 0.00084743, TIME: 17871.1s
STEP [124440], EPOCH [75/100], ITER [1156/1666] 
LOSS: 0.00051047, TIME: 17873.9s
STEP [124460], EPOCH [75/100], ITER [1176/1666] 
LOSS: 0.00046699, TIME: 17876.8s
STEP [124480], EPOCH [75/100], ITER [1196/1666] 
LOSS: 0.00051041, TIME: 17879.6s
STEP [124500], EPOCH [75/100], ITER [1216/1666] 
LOSS: 0.00030892, TIME: 17882.5s
STEP [124520], EPOCH [75/100], ITER [1236/1666] 
LOSS: 0.00058435, TIME: 17885.4s
STEP [124540], EPOCH [75/100], ITER [1256/1666] 
LOSS: 0.00064956, TIME: 17888.2s
STEP [124560], EPOCH [75/100], ITER [1276/1666] 
LOSS: 0.00063313, TIME: 17891.1s
STEP [124580], EPOCH [75/100], ITER [1296/1666] 
LOSS: 0.00056082, TIME: 17893.9s
STEP [124600], EPOCH [75/100], ITER [1316/1666] 
LOSS: 0.00067923, TIME: 17896.8s
STEP [124620], EPOCH [75/100], ITER [1336/1666] 
LOSS: 0.00062922, TIME: 17899.6s
STEP [124640], EPOCH [75/100], ITER [1356/1666] 
LOSS: 0.00037214, TIME: 17902.5s
STEP [124660], EPOCH [75/100], ITER [1376/1666] 
LOSS: 0.00055877, TIME: 17905.3s
STEP [124680], EPOCH [75/100], ITER [1396/1666] 
LOSS: 0.00056539, TIME: 17908.2s
STEP [124700], EPOCH [75/100], ITER [1416/1666] 
LOSS: 0.00043828, TIME: 17911.0s
STEP [124720], EPOCH [75/100], ITER [1436/1666] 
LOSS: 0.00057842, TIME: 17913.9s
STEP [124740], EPOCH [75/100], ITER [1456/1666] 
LOSS: 0.00099037, TIME: 17916.7s
STEP [124760], EPOCH [75/100], ITER [1476/1666] 
LOSS: 0.00037545, TIME: 17919.6s
STEP [124780], EPOCH [75/100], ITER [1496/1666] 
LOSS: 0.00037188, TIME: 17922.4s
STEP [124800], EPOCH [75/100], ITER [1516/1666] 
LOSS: 0.00047237, TIME: 17925.3s
STEP [124820], EPOCH [75/100], ITER [1536/1666] 
LOSS: 0.00040194, TIME: 17928.1s
STEP [124840], EPOCH [75/100], ITER [1556/1666] 
LOSS: 0.00056499, TIME: 17931.0s
STEP [124860], EPOCH [75/100], ITER [1576/1666] 
LOSS: 0.00066595, TIME: 17933.8s
STEP [124880], EPOCH [75/100], ITER [1596/1666] 
LOSS: 0.00085922, TIME: 17936.7s
STEP [124900], EPOCH [75/100], ITER [1616/1666] 
LOSS: 0.00046265, TIME: 17939.5s
STEP [124920], EPOCH [75/100], ITER [1636/1666] 
LOSS: 0.00048790, TIME: 17942.4s
STEP [124940], EPOCH [75/100], ITER [1656/1666] 
LOSS: 0.00087089, TIME: 17945.2s
STEP [124960], EPOCH [76/100], ITER [10/1666] 
LOSS: 0.00042778, TIME: 17949.5s
STEP [124980], EPOCH [76/100], ITER [30/1666] 
LOSS: 0.00050039, TIME: 17952.3s
STEP [125000], EPOCH [76/100], ITER [50/1666] 
LOSS: 0.00048254, TIME: 17955.2s
STEP [125020], EPOCH [76/100], ITER [70/1666] 
LOSS: 0.00048113, TIME: 17958.1s
STEP [125040], EPOCH [76/100], ITER [90/1666] 
LOSS: 0.00038133, TIME: 17961.0s
STEP [125060], EPOCH [76/100], ITER [110/1666] 
LOSS: 0.00067802, TIME: 17963.8s
STEP [125080], EPOCH [76/100], ITER [130/1666] 
LOSS: 0.00059739, TIME: 17966.7s
STEP [125100], EPOCH [76/100], ITER [150/1666] 
LOSS: 0.00060064, TIME: 17969.5s
STEP [125120], EPOCH [76/100], ITER [170/1666] 
LOSS: 0.00053860, TIME: 17972.4s
STEP [125140], EPOCH [76/100], ITER [190/1666] 
LOSS: 0.00026364, TIME: 17975.3s
STEP [125160], EPOCH [76/100], ITER [210/1666] 
LOSS: 0.00057766, TIME: 17978.1s
STEP [125180], EPOCH [76/100], ITER [230/1666] 
LOSS: 0.00028480, TIME: 17981.0s
STEP [125200], EPOCH [76/100], ITER [250/1666] 
LOSS: 0.00052296, TIME: 17983.8s
STEP [125220], EPOCH [76/100], ITER [270/1666] 
LOSS: 0.00047049, TIME: 17986.7s
STEP [125240], EPOCH [76/100], ITER [290/1666] 
LOSS: 0.00079612, TIME: 17989.5s
STEP [125260], EPOCH [76/100], ITER [310/1666] 
LOSS: 0.00056701, TIME: 17992.4s
STEP [125280], EPOCH [76/100], ITER [330/1666] 
LOSS: 0.00072771, TIME: 17995.2s
STEP [125300], EPOCH [76/100], ITER [350/1666] 
LOSS: 0.00060924, TIME: 17998.1s
STEP [125320], EPOCH [76/100], ITER [370/1666] 
LOSS: 0.00058252, TIME: 18000.9s
STEP [125340], EPOCH [76/100], ITER [390/1666] 
LOSS: 0.00062908, TIME: 18003.8s
STEP [125360], EPOCH [76/100], ITER [410/1666] 
LOSS: 0.00053789, TIME: 18006.7s
STEP [125380], EPOCH [76/100], ITER [430/1666] 
LOSS: 0.00071570, TIME: 18009.5s
STEP [125400], EPOCH [76/100], ITER [450/1666] 
LOSS: 0.00047798, TIME: 18012.4s
STEP [125420], EPOCH [76/100], ITER [470/1666] 
LOSS: 0.00051534, TIME: 18015.2s
STEP [125440], EPOCH [76/100], ITER [490/1666] 
LOSS: 0.00097882, TIME: 18018.1s
STEP [125460], EPOCH [76/100], ITER [510/1666] 
LOSS: 0.00045629, TIME: 18020.9s
STEP [125480], EPOCH [76/100], ITER [530/1666] 
LOSS: 0.00061774, TIME: 18023.8s
STEP [125500], EPOCH [76/100], ITER [550/1666] 
LOSS: 0.00064625, TIME: 18026.6s
STEP [125520], EPOCH [76/100], ITER [570/1666] 
LOSS: 0.00065442, TIME: 18029.5s
STEP [125540], EPOCH [76/100], ITER [590/1666] 
LOSS: 0.00061777, TIME: 18032.3s
STEP [125560], EPOCH [76/100], ITER [610/1666] 
LOSS: 0.00057917, TIME: 18035.2s
STEP [125580], EPOCH [76/100], ITER [630/1666] 
LOSS: 0.00040079, TIME: 18038.0s
STEP [125600], EPOCH [76/100], ITER [650/1666] 
LOSS: 0.00038944, TIME: 18040.9s
STEP [125620], EPOCH [76/100], ITER [670/1666] 
LOSS: 0.00050277, TIME: 18043.8s
STEP [125640], EPOCH [76/100], ITER [690/1666] 
LOSS: 0.00040822, TIME: 18046.6s
STEP [125660], EPOCH [76/100], ITER [710/1666] 
LOSS: 0.00053036, TIME: 18049.5s
STEP [125680], EPOCH [76/100], ITER [730/1666] 
LOSS: 0.00039015, TIME: 18052.3s
STEP [125700], EPOCH [76/100], ITER [750/1666] 
LOSS: 0.00042783, TIME: 18055.2s
STEP [125720], EPOCH [76/100], ITER [770/1666] 
LOSS: 0.00063382, TIME: 18058.0s
STEP [125740], EPOCH [76/100], ITER [790/1666] 
LOSS: 0.00076280, TIME: 18060.9s
STEP [125760], EPOCH [76/100], ITER [810/1666] 
LOSS: 0.00051059, TIME: 18063.7s
STEP [125780], EPOCH [76/100], ITER [830/1666] 
LOSS: 0.00065410, TIME: 18066.6s
STEP [125800], EPOCH [76/100], ITER [850/1666] 
LOSS: 0.00063759, TIME: 18069.4s
STEP [125820], EPOCH [76/100], ITER [870/1666] 
LOSS: 0.00061144, TIME: 18072.3s
STEP [125840], EPOCH [76/100], ITER [890/1666] 
LOSS: 0.00048778, TIME: 18075.2s
STEP [125860], EPOCH [76/100], ITER [910/1666] 
LOSS: 0.00049153, TIME: 18078.0s
STEP [125880], EPOCH [76/100], ITER [930/1666] 
LOSS: 0.00044223, TIME: 18080.9s
STEP [125900], EPOCH [76/100], ITER [950/1666] 
LOSS: 0.00046097, TIME: 18083.7s
STEP [125920], EPOCH [76/100], ITER [970/1666] 
LOSS: 0.00080626, TIME: 18086.6s
STEP [125940], EPOCH [76/100], ITER [990/1666] 
LOSS: 0.00042446, TIME: 18089.4s
STEP [125960], EPOCH [76/100], ITER [1010/1666] 
LOSS: 0.00042101, TIME: 18092.3s
STEP [125980], EPOCH [76/100], ITER [1030/1666] 
LOSS: 0.00065177, TIME: 18095.1s
STEP [126000], EPOCH [76/100], ITER [1050/1666] 
LOSS: 0.00033598, TIME: 18098.0s
STEP [126020], EPOCH [76/100], ITER [1070/1666] 
LOSS: 0.00048367, TIME: 18100.9s
STEP [126040], EPOCH [76/100], ITER [1090/1666] 
LOSS: 0.00049283, TIME: 18103.8s
STEP [126060], EPOCH [76/100], ITER [1110/1666] 
LOSS: 0.00061140, TIME: 18106.6s
STEP [126080], EPOCH [76/100], ITER [1130/1666] 
LOSS: 0.00052078, TIME: 18109.5s
STEP [126100], EPOCH [76/100], ITER [1150/1666] 
LOSS: 0.00039856, TIME: 18112.3s
STEP [126120], EPOCH [76/100], ITER [1170/1666] 
LOSS: 0.00054063, TIME: 18115.2s
STEP [126140], EPOCH [76/100], ITER [1190/1666] 
LOSS: 0.00048432, TIME: 18118.1s
STEP [126160], EPOCH [76/100], ITER [1210/1666] 
LOSS: 0.00057077, TIME: 18120.9s
STEP [126180], EPOCH [76/100], ITER [1230/1666] 
LOSS: 0.00041680, TIME: 18123.8s
STEP [126200], EPOCH [76/100], ITER [1250/1666] 
LOSS: 0.00053550, TIME: 18126.6s
STEP [126220], EPOCH [76/100], ITER [1270/1666] 
LOSS: 0.00044162, TIME: 18129.5s
STEP [126240], EPOCH [76/100], ITER [1290/1666] 
LOSS: 0.00057053, TIME: 18132.3s
STEP [126260], EPOCH [76/100], ITER [1310/1666] 
LOSS: 0.00055574, TIME: 18135.2s
STEP [126280], EPOCH [76/100], ITER [1330/1666] 
LOSS: 0.00060012, TIME: 18138.0s
STEP [126300], EPOCH [76/100], ITER [1350/1666] 
LOSS: 0.00052547, TIME: 18140.9s
STEP [126320], EPOCH [76/100], ITER [1370/1666] 
LOSS: 0.00055731, TIME: 18143.7s
STEP [126340], EPOCH [76/100], ITER [1390/1666] 
LOSS: 0.00067266, TIME: 18146.6s
STEP [126360], EPOCH [76/100], ITER [1410/1666] 
LOSS: 0.00086608, TIME: 18149.4s
STEP [126380], EPOCH [76/100], ITER [1430/1666] 
LOSS: 0.00070151, TIME: 18152.3s
STEP [126400], EPOCH [76/100], ITER [1450/1666] 
LOSS: 0.00056458, TIME: 18155.1s
STEP [126420], EPOCH [76/100], ITER [1470/1666] 
LOSS: 0.00056850, TIME: 18158.0s
STEP [126440], EPOCH [76/100], ITER [1490/1666] 
LOSS: 0.00041902, TIME: 18160.9s
STEP [126460], EPOCH [76/100], ITER [1510/1666] 
LOSS: 0.00050924, TIME: 18163.7s
STEP [126480], EPOCH [76/100], ITER [1530/1666] 
LOSS: 0.00046456, TIME: 18166.6s
STEP [126500], EPOCH [76/100], ITER [1550/1666] 
LOSS: 0.00071313, TIME: 18169.4s
STEP [126520], EPOCH [76/100], ITER [1570/1666] 
LOSS: 0.00034574, TIME: 18172.3s
STEP [126540], EPOCH [76/100], ITER [1590/1666] 
LOSS: 0.00046832, TIME: 18175.1s
STEP [126560], EPOCH [76/100], ITER [1610/1666] 
LOSS: 0.00083668, TIME: 18178.0s
STEP [126580], EPOCH [76/100], ITER [1630/1666] 
LOSS: 0.00035111, TIME: 18180.8s
STEP [126600], EPOCH [76/100], ITER [1650/1666] 
LOSS: 0.00053784, TIME: 18183.7s
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LOSS: 0.00056773, TIME: 18188.0s
STEP [126640], EPOCH [77/100], ITER [24/1666] 
LOSS: 0.00033598, TIME: 18190.9s
STEP [126660], EPOCH [77/100], ITER [44/1666] 
LOSS: 0.00038879, TIME: 18193.7s
STEP [126680], EPOCH [77/100], ITER [64/1666] 
LOSS: 0.00050109, TIME: 18196.6s
STEP [126700], EPOCH [77/100], ITER [84/1666] 
LOSS: 0.00042167, TIME: 18199.4s
STEP [126720], EPOCH [77/100], ITER [104/1666] 
LOSS: 0.00038836, TIME: 18202.3s
STEP [126740], EPOCH [77/100], ITER [124/1666] 
LOSS: 0.00039475, TIME: 18205.1s
STEP [126760], EPOCH [77/100], ITER [144/1666] 
LOSS: 0.00065028, TIME: 18208.0s
STEP [126780], EPOCH [77/100], ITER [164/1666] 
LOSS: 0.00079612, TIME: 18210.8s
STEP [126800], EPOCH [77/100], ITER [184/1666] 
LOSS: 0.00042447, TIME: 18213.7s
STEP [126820], EPOCH [77/100], ITER [204/1666] 
LOSS: 0.00060385, TIME: 18216.6s
STEP [126840], EPOCH [77/100], ITER [224/1666] 
LOSS: 0.00084380, TIME: 18219.4s
STEP [126860], EPOCH [77/100], ITER [244/1666] 
LOSS: 0.00053416, TIME: 18222.3s
STEP [126880], EPOCH [77/100], ITER [264/1666] 
LOSS: 0.00048437, TIME: 18225.1s
STEP [126900], EPOCH [77/100], ITER [284/1666] 
LOSS: 0.00043164, TIME: 18228.0s
STEP [126920], EPOCH [77/100], ITER [304/1666] 
LOSS: 0.00057764, TIME: 18230.8s
STEP [126940], EPOCH [77/100], ITER [324/1666] 
LOSS: 0.00111870, TIME: 18233.7s
STEP [126960], EPOCH [77/100], ITER [344/1666] 
LOSS: 0.00067819, TIME: 18236.5s
STEP [126980], EPOCH [77/100], ITER [364/1666] 
LOSS: 0.00056665, TIME: 18239.4s
STEP [127000], EPOCH [77/100], ITER [384/1666] 
LOSS: 0.00031676, TIME: 18242.2s
STEP [127020], EPOCH [77/100], ITER [404/1666] 
LOSS: 0.00054693, TIME: 18245.2s
STEP [127040], EPOCH [77/100], ITER [424/1666] 
LOSS: 0.00048267, TIME: 18248.0s
STEP [127060], EPOCH [77/100], ITER [444/1666] 
LOSS: 0.00047652, TIME: 18250.9s
STEP [127080], EPOCH [77/100], ITER [464/1666] 
LOSS: 0.00047389, TIME: 18253.7s
STEP [127100], EPOCH [77/100], ITER [484/1666] 
LOSS: 0.00076242, TIME: 18256.6s
STEP [127120], EPOCH [77/100], ITER [504/1666] 
LOSS: 0.00041148, TIME: 18259.4s
STEP [127140], EPOCH [77/100], ITER [524/1666] 
LOSS: 0.00053472, TIME: 18262.3s
STEP [127160], EPOCH [77/100], ITER [544/1666] 
LOSS: 0.00055632, TIME: 18265.1s
STEP [127180], EPOCH [77/100], ITER [564/1666] 
LOSS: 0.00048148, TIME: 18268.0s
STEP [127200], EPOCH [77/100], ITER [584/1666] 
LOSS: 0.00048994, TIME: 18270.8s
STEP [127220], EPOCH [77/100], ITER [604/1666] 
LOSS: 0.00084377, TIME: 18273.7s
STEP [127240], EPOCH [77/100], ITER [624/1666] 
LOSS: 0.00062286, TIME: 18276.5s
STEP [127260], EPOCH [77/100], ITER [644/1666] 
LOSS: 0.00080668, TIME: 18279.4s
STEP [127280], EPOCH [77/100], ITER [664/1666] 
LOSS: 0.00069580, TIME: 18282.2s
STEP [127300], EPOCH [77/100], ITER [684/1666] 
LOSS: 0.00076386, TIME: 18285.1s
STEP [127320], EPOCH [77/100], ITER [704/1666] 
LOSS: 0.00043991, TIME: 18287.9s
STEP [127340], EPOCH [77/100], ITER [724/1666] 
LOSS: 0.00092502, TIME: 18290.8s
STEP [127360], EPOCH [77/100], ITER [744/1666] 
LOSS: 0.00059276, TIME: 18293.6s
STEP [127380], EPOCH [77/100], ITER [764/1666] 
LOSS: 0.00060639, TIME: 18296.5s
STEP [127400], EPOCH [77/100], ITER [784/1666] 
LOSS: 0.00075796, TIME: 18299.3s
STEP [127420], EPOCH [77/100], ITER [804/1666] 
LOSS: 0.00051268, TIME: 18302.2s
STEP [127440], EPOCH [77/100], ITER [824/1666] 
LOSS: 0.00045418, TIME: 18305.0s
STEP [127460], EPOCH [77/100], ITER [844/1666] 
LOSS: 0.00063388, TIME: 18307.9s
STEP [127480], EPOCH [77/100], ITER [864/1666] 
LOSS: 0.00058101, TIME: 18310.7s
STEP [127500], EPOCH [77/100], ITER [884/1666] 
LOSS: 0.00060319, TIME: 18313.6s
STEP [127520], EPOCH [77/100], ITER [904/1666] 
LOSS: 0.00042382, TIME: 18316.4s
STEP [127540], EPOCH [77/100], ITER [924/1666] 
LOSS: 0.00062505, TIME: 18319.3s
STEP [127560], EPOCH [77/100], ITER [944/1666] 
LOSS: 0.00048292, TIME: 18322.1s
STEP [127580], EPOCH [77/100], ITER [964/1666] 
LOSS: 0.00060942, TIME: 18325.0s
STEP [127600], EPOCH [77/100], ITER [984/1666] 
LOSS: 0.00076254, TIME: 18327.9s
STEP [127620], EPOCH [77/100], ITER [1004/1666] 
LOSS: 0.00054670, TIME: 18330.7s
STEP [127640], EPOCH [77/100], ITER [1024/1666] 
LOSS: 0.00043828, TIME: 18333.6s
STEP [127660], EPOCH [77/100], ITER [1044/1666] 
LOSS: 0.00049140, TIME: 18336.4s
STEP [127680], EPOCH [77/100], ITER [1064/1666] 
LOSS: 0.00059441, TIME: 18339.3s
STEP [127700], EPOCH [77/100], ITER [1084/1666] 
LOSS: 0.00045295, TIME: 18342.1s
STEP [127720], EPOCH [77/100], ITER [1104/1666] 
LOSS: 0.00075591, TIME: 18345.0s
STEP [127740], EPOCH [77/100], ITER [1124/1666] 
LOSS: 0.00076253, TIME: 18347.8s
STEP [127760], EPOCH [77/100], ITER [1144/1666] 
LOSS: 0.00037152, TIME: 18350.7s
STEP [127780], EPOCH [77/100], ITER [1164/1666] 
LOSS: 0.00050381, TIME: 18353.5s
STEP [127800], EPOCH [77/100], ITER [1184/1666] 
LOSS: 0.00049933, TIME: 18356.4s
STEP [127820], EPOCH [77/100], ITER [1204/1666] 
LOSS: 0.00057391, TIME: 18359.2s
STEP [127840], EPOCH [77/100], ITER [1224/1666] 
LOSS: 0.00053552, TIME: 18362.1s
STEP [127860], EPOCH [77/100], ITER [1244/1666] 
LOSS: 0.00041585, TIME: 18364.9s
STEP [127880], EPOCH [77/100], ITER [1264/1666] 
LOSS: 0.00032222, TIME: 18367.8s
STEP [127900], EPOCH [77/100], ITER [1284/1666] 
LOSS: 0.00055789, TIME: 18370.6s
STEP [127920], EPOCH [77/100], ITER [1304/1666] 
LOSS: 0.00057840, TIME: 18373.5s
STEP [127940], EPOCH [77/100], ITER [1324/1666] 
LOSS: 0.00055953, TIME: 18376.4s
STEP [127960], EPOCH [77/100], ITER [1344/1666] 
LOSS: 0.00053721, TIME: 18379.2s
STEP [127980], EPOCH [77/100], ITER [1364/1666] 
LOSS: 0.00046676, TIME: 18382.1s
STEP [128000], EPOCH [77/100], ITER [1384/1666] 
LOSS: 0.00046869, TIME: 18384.9s
STEP [128020], EPOCH [77/100], ITER [1404/1666] 
LOSS: 0.00050124, TIME: 18387.8s
STEP [128040], EPOCH [77/100], ITER [1424/1666] 
LOSS: 0.00073356, TIME: 18390.7s
STEP [128060], EPOCH [77/100], ITER [1444/1666] 
LOSS: 0.00053043, TIME: 18393.5s
STEP [128080], EPOCH [77/100], ITER [1464/1666] 
LOSS: 0.00072553, TIME: 18396.4s
STEP [128100], EPOCH [77/100], ITER [1484/1666] 
LOSS: 0.00059794, TIME: 18399.2s
STEP [128120], EPOCH [77/100], ITER [1504/1666] 
LOSS: 0.00085403, TIME: 18402.1s
STEP [128140], EPOCH [77/100], ITER [1524/1666] 
LOSS: 0.00055213, TIME: 18405.0s
STEP [128160], EPOCH [77/100], ITER [1544/1666] 
LOSS: 0.00068273, TIME: 18407.8s
STEP [128180], EPOCH [77/100], ITER [1564/1666] 
LOSS: 0.00037255, TIME: 18410.7s
STEP [128200], EPOCH [77/100], ITER [1584/1666] 
LOSS: 0.00058670, TIME: 18413.5s
STEP [128220], EPOCH [77/100], ITER [1604/1666] 
LOSS: 0.00051932, TIME: 18416.4s
STEP [128240], EPOCH [77/100], ITER [1624/1666] 
LOSS: 0.00065619, TIME: 18419.2s
STEP [128260], EPOCH [77/100], ITER [1644/1666] 
LOSS: 0.00046363, TIME: 18422.1s
STEP [128280], EPOCH [77/100], ITER [1664/1666] 
LOSS: 0.00038055, TIME: 18424.9s
STEP [128300], EPOCH [78/100], ITER [18/1666] 
LOSS: 0.00072449, TIME: 18429.3s
STEP [128320], EPOCH [78/100], ITER [38/1666] 
LOSS: 0.00059835, TIME: 18432.1s
STEP [128340], EPOCH [78/100], ITER [58/1666] 
LOSS: 0.00067975, TIME: 18435.0s
STEP [128360], EPOCH [78/100], ITER [78/1666] 
LOSS: 0.00037873, TIME: 18437.8s
STEP [128380], EPOCH [78/100], ITER [98/1666] 
LOSS: 0.00053342, TIME: 18440.7s
STEP [128400], EPOCH [78/100], ITER [118/1666] 
LOSS: 0.00052858, TIME: 18443.5s
STEP [128420], EPOCH [78/100], ITER [138/1666] 
LOSS: 0.00053896, TIME: 18446.4s
STEP [128440], EPOCH [78/100], ITER [158/1666] 
LOSS: 0.00077202, TIME: 18449.2s
STEP [128460], EPOCH [78/100], ITER [178/1666] 
LOSS: 0.00030221, TIME: 18452.1s
STEP [128480], EPOCH [78/100], ITER [198/1666] 
LOSS: 0.00047819, TIME: 18455.0s
STEP [128500], EPOCH [78/100], ITER [218/1666] 
LOSS: 0.00067986, TIME: 18457.8s
STEP [128520], EPOCH [78/100], ITER [238/1666] 
LOSS: 0.00064343, TIME: 18460.7s
STEP [128540], EPOCH [78/100], ITER [258/1666] 
LOSS: 0.00057859, TIME: 18463.5s
STEP [128560], EPOCH [78/100], ITER [278/1666] 
LOSS: 0.00047621, TIME: 18466.4s
STEP [128580], EPOCH [78/100], ITER [298/1666] 
LOSS: 0.00048377, TIME: 18469.2s
STEP [128600], EPOCH [78/100], ITER [318/1666] 
LOSS: 0.00061163, TIME: 18472.1s
STEP [128620], EPOCH [78/100], ITER [338/1666] 
LOSS: 0.00068912, TIME: 18474.9s
STEP [128640], EPOCH [78/100], ITER [358/1666] 
LOSS: 0.00052524, TIME: 18477.8s
STEP [128660], EPOCH [78/100], ITER [378/1666] 
LOSS: 0.00042802, TIME: 18480.6s
STEP [128680], EPOCH [78/100], ITER [398/1666] 
LOSS: 0.00076295, TIME: 18483.5s
STEP [128700], EPOCH [78/100], ITER [418/1666] 
LOSS: 0.00076806, TIME: 18486.3s
STEP [128720], EPOCH [78/100], ITER [438/1666] 
LOSS: 0.00048220, TIME: 18489.2s
STEP [128740], EPOCH [78/100], ITER [458/1666] 
LOSS: 0.00059630, TIME: 18492.0s
STEP [128760], EPOCH [78/100], ITER [478/1666] 
LOSS: 0.00070737, TIME: 18494.9s
STEP [128780], EPOCH [78/100], ITER [498/1666] 
LOSS: 0.00078382, TIME: 18497.8s
STEP [128800], EPOCH [78/100], ITER [518/1666] 
LOSS: 0.00047242, TIME: 18500.6s
STEP [128820], EPOCH [78/100], ITER [538/1666] 
LOSS: 0.00045705, TIME: 18503.5s
STEP [128840], EPOCH [78/100], ITER [558/1666] 
LOSS: 0.00077201, TIME: 18506.3s
STEP [128860], EPOCH [78/100], ITER [578/1666] 
LOSS: 0.00062154, TIME: 18509.2s
STEP [128880], EPOCH [78/100], ITER [598/1666] 
LOSS: 0.00062835, TIME: 18512.0s
STEP [128900], EPOCH [78/100], ITER [618/1666] 
LOSS: 0.00106672, TIME: 18514.9s
STEP [128920], EPOCH [78/100], ITER [638/1666] 
LOSS: 0.00054373, TIME: 18517.7s
STEP [128940], EPOCH [78/100], ITER [658/1666] 
LOSS: 0.00079675, TIME: 18520.6s
STEP [128960], EPOCH [78/100], ITER [678/1666] 
LOSS: 0.00052273, TIME: 18523.4s
STEP [128980], EPOCH [78/100], ITER [698/1666] 
LOSS: 0.00040661, TIME: 18526.3s
STEP [129000], EPOCH [78/100], ITER [718/1666] 
LOSS: 0.00056924, TIME: 18529.1s
STEP [129020], EPOCH [78/100], ITER [738/1666] 
LOSS: 0.00066073, TIME: 18532.1s
STEP [129040], EPOCH [78/100], ITER [758/1666] 
LOSS: 0.00067896, TIME: 18534.9s
STEP [129060], EPOCH [78/100], ITER [778/1666] 
LOSS: 0.00055100, TIME: 18537.8s
STEP [129080], EPOCH [78/100], ITER [798/1666] 
LOSS: 0.00057603, TIME: 18540.6s
STEP [129100], EPOCH [78/100], ITER [818/1666] 
LOSS: 0.00056051, TIME: 18543.5s
STEP [129120], EPOCH [78/100], ITER [838/1666] 
LOSS: 0.00064557, TIME: 18546.3s
STEP [129140], EPOCH [78/100], ITER [858/1666] 
LOSS: 0.00037415, TIME: 18549.2s
STEP [129160], EPOCH [78/100], ITER [878/1666] 
LOSS: 0.00055236, TIME: 18552.1s
STEP [129180], EPOCH [78/100], ITER [898/1666] 
LOSS: 0.00054041, TIME: 18554.9s
STEP [129200], EPOCH [78/100], ITER [918/1666] 
LOSS: 0.00050190, TIME: 18557.8s
STEP [129220], EPOCH [78/100], ITER [938/1666] 
LOSS: 0.00057712, TIME: 18560.6s
STEP [129240], EPOCH [78/100], ITER [958/1666] 
LOSS: 0.00060579, TIME: 18563.5s
STEP [129260], EPOCH [78/100], ITER [978/1666] 
LOSS: 0.00081079, TIME: 18566.3s
STEP [129280], EPOCH [78/100], ITER [998/1666] 
LOSS: 0.00065767, TIME: 18569.2s
STEP [129300], EPOCH [78/100], ITER [1018/1666] 
LOSS: 0.00064959, TIME: 18572.0s
STEP [129320], EPOCH [78/100], ITER [1038/1666] 
LOSS: 0.00048465, TIME: 18574.9s
STEP [129340], EPOCH [78/100], ITER [1058/1666] 
LOSS: 0.00055432, TIME: 18577.7s
STEP [129360], EPOCH [78/100], ITER [1078/1666] 
LOSS: 0.00051343, TIME: 18580.6s
STEP [129380], EPOCH [78/100], ITER [1098/1666] 
LOSS: 0.00074331, TIME: 18583.4s
STEP [129400], EPOCH [78/100], ITER [1118/1666] 
LOSS: 0.00056614, TIME: 18586.3s
STEP [129420], EPOCH [78/100], ITER [1138/1666] 
LOSS: 0.00037147, TIME: 18589.2s
STEP [129440], EPOCH [78/100], ITER [1158/1666] 
LOSS: 0.00052203, TIME: 18592.0s
STEP [129460], EPOCH [78/100], ITER [1178/1666] 
LOSS: 0.00033081, TIME: 18594.9s
STEP [129480], EPOCH [78/100], ITER [1198/1666] 
LOSS: 0.00045844, TIME: 18597.7s
STEP [129500], EPOCH [78/100], ITER [1218/1666] 
LOSS: 0.00040106, TIME: 18600.6s
STEP [129520], EPOCH [78/100], ITER [1238/1666] 
LOSS: 0.00058000, TIME: 18603.4s
STEP [129540], EPOCH [78/100], ITER [1258/1666] 
LOSS: 0.00163184, TIME: 18606.3s
STEP [129560], EPOCH [78/100], ITER [1278/1666] 
LOSS: 0.00058237, TIME: 18609.1s
STEP [129580], EPOCH [78/100], ITER [1298/1666] 
LOSS: 0.00083769, TIME: 18612.0s
STEP [129600], EPOCH [78/100], ITER [1318/1666] 
LOSS: 0.00035144, TIME: 18614.8s
STEP [129620], EPOCH [78/100], ITER [1338/1666] 
LOSS: 0.00049339, TIME: 18617.7s
STEP [129640], EPOCH [78/100], ITER [1358/1666] 
LOSS: 0.00052482, TIME: 18620.5s
STEP [129660], EPOCH [78/100], ITER [1378/1666] 
LOSS: 0.00056494, TIME: 18623.4s
STEP [129680], EPOCH [78/100], ITER [1398/1666] 
LOSS: 0.00055954, TIME: 18626.3s
STEP [129700], EPOCH [78/100], ITER [1418/1666] 
LOSS: 0.00067632, TIME: 18629.1s
STEP [129720], EPOCH [78/100], ITER [1438/1666] 
LOSS: 0.00073381, TIME: 18632.0s
STEP [129740], EPOCH [78/100], ITER [1458/1666] 
LOSS: 0.00041419, TIME: 18634.8s
STEP [129760], EPOCH [78/100], ITER [1478/1666] 
LOSS: 0.00057640, TIME: 18637.7s
STEP [129780], EPOCH [78/100], ITER [1498/1666] 
LOSS: 0.00083578, TIME: 18640.5s
STEP [129800], EPOCH [78/100], ITER [1518/1666] 
LOSS: 0.00071502, TIME: 18643.4s
STEP [129820], EPOCH [78/100], ITER [1538/1666] 
LOSS: 0.00075340, TIME: 18646.2s
STEP [129840], EPOCH [78/100], ITER [1558/1666] 
LOSS: 0.00044712, TIME: 18649.1s
STEP [129860], EPOCH [78/100], ITER [1578/1666] 
LOSS: 0.00044723, TIME: 18651.9s
STEP [129880], EPOCH [78/100], ITER [1598/1666] 
LOSS: 0.00081239, TIME: 18654.8s
STEP [129900], EPOCH [78/100], ITER [1618/1666] 
LOSS: 0.00045437, TIME: 18657.7s
STEP [129920], EPOCH [78/100], ITER [1638/1666] 
LOSS: 0.00043585, TIME: 18660.5s
STEP [129940], EPOCH [78/100], ITER [1658/1666] 
LOSS: 0.00050239, TIME: 18663.4s
STEP [129960], EPOCH [79/100], ITER [12/1666] 
LOSS: 0.00035446, TIME: 18667.6s
STEP [129980], EPOCH [79/100], ITER [32/1666] 
LOSS: 0.00049952, TIME: 18670.4s
STEP [130000], EPOCH [79/100], ITER [52/1666] 
LOSS: 0.00052779, TIME: 18673.3s
STEP [130020], EPOCH [79/100], ITER [72/1666] 
LOSS: 0.00038106, TIME: 18676.2s
STEP [130040], EPOCH [79/100], ITER [92/1666] 
LOSS: 0.00033089, TIME: 18679.1s
STEP [130060], EPOCH [79/100], ITER [112/1666] 
LOSS: 0.00077244, TIME: 18681.9s
STEP [130080], EPOCH [79/100], ITER [132/1666] 
LOSS: 0.00045592, TIME: 18684.8s
STEP [130100], EPOCH [79/100], ITER [152/1666] 
LOSS: 0.00042740, TIME: 18687.6s
STEP [130120], EPOCH [79/100], ITER [172/1666] 
LOSS: 0.00054762, TIME: 18690.5s
STEP [130140], EPOCH [79/100], ITER [192/1666] 
LOSS: 0.00043998, TIME: 18693.4s
STEP [130160], EPOCH [79/100], ITER [212/1666] 
LOSS: 0.00040927, TIME: 18696.2s
STEP [130180], EPOCH [79/100], ITER [232/1666] 
LOSS: 0.00048183, TIME: 18699.1s
STEP [130200], EPOCH [79/100], ITER [252/1666] 
LOSS: 0.00110682, TIME: 18701.9s
STEP [130220], EPOCH [79/100], ITER [272/1666] 
LOSS: 0.00036370, TIME: 18704.8s
STEP [130240], EPOCH [79/100], ITER [292/1666] 
LOSS: 0.00050012, TIME: 18707.6s
STEP [130260], EPOCH [79/100], ITER [312/1666] 
LOSS: 0.00076919, TIME: 18710.5s
STEP [130280], EPOCH [79/100], ITER [332/1666] 
LOSS: 0.00040811, TIME: 18713.3s
STEP [130300], EPOCH [79/100], ITER [352/1666] 
LOSS: 0.00047130, TIME: 18716.2s
STEP [130320], EPOCH [79/100], ITER [372/1666] 
LOSS: 0.00046459, TIME: 18719.0s
STEP [130340], EPOCH [79/100], ITER [392/1666] 
LOSS: 0.00040696, TIME: 18721.9s
STEP [130360], EPOCH [79/100], ITER [412/1666] 
LOSS: 0.00045600, TIME: 18724.7s
STEP [130380], EPOCH [79/100], ITER [432/1666] 
LOSS: 0.00053859, TIME: 18727.6s
STEP [130400], EPOCH [79/100], ITER [452/1666] 
LOSS: 0.00060511, TIME: 18730.4s
STEP [130420], EPOCH [79/100], ITER [472/1666] 
LOSS: 0.00046891, TIME: 18733.3s
STEP [130440], EPOCH [79/100], ITER [492/1666] 
LOSS: 0.00041909, TIME: 18736.1s
STEP [130460], EPOCH [79/100], ITER [512/1666] 
LOSS: 0.00098276, TIME: 18739.0s
STEP [130480], EPOCH [79/100], ITER [532/1666] 
LOSS: 0.00066927, TIME: 18741.9s
STEP [130500], EPOCH [79/100], ITER [552/1666] 
LOSS: 0.00057998, TIME: 18744.7s
STEP [130520], EPOCH [79/100], ITER [572/1666] 
LOSS: 0.00038569, TIME: 18747.6s
STEP [130540], EPOCH [79/100], ITER [592/1666] 
LOSS: 0.00037955, TIME: 18750.4s
STEP [130560], EPOCH [79/100], ITER [612/1666] 
LOSS: 0.00056542, TIME: 18753.3s
STEP [130580], EPOCH [79/100], ITER [632/1666] 
LOSS: 0.00055344, TIME: 18756.1s
STEP [130600], EPOCH [79/100], ITER [652/1666] 
LOSS: 0.00058476, TIME: 18759.0s
STEP [130620], EPOCH [79/100], ITER [672/1666] 
LOSS: 0.00054163, TIME: 18761.8s
STEP [130640], EPOCH [79/100], ITER [692/1666] 
LOSS: 0.00054965, TIME: 18764.7s
STEP [130660], EPOCH [79/100], ITER [712/1666] 
LOSS: 0.00062726, TIME: 18767.5s
STEP [130680], EPOCH [79/100], ITER [732/1666] 
LOSS: 0.00043842, TIME: 18770.4s
STEP [130700], EPOCH [79/100], ITER [752/1666] 
LOSS: 0.00062058, TIME: 18773.2s
STEP [130720], EPOCH [79/100], ITER [772/1666] 
LOSS: 0.00089873, TIME: 18776.1s
STEP [130740], EPOCH [79/100], ITER [792/1666] 
LOSS: 0.00142595, TIME: 18779.0s
STEP [130760], EPOCH [79/100], ITER [812/1666] 
LOSS: 0.00040952, TIME: 18781.8s
STEP [130780], EPOCH [79/100], ITER [832/1666] 
LOSS: 0.00078120, TIME: 18784.7s
STEP [130800], EPOCH [79/100], ITER [852/1666] 
LOSS: 0.00050583, TIME: 18787.5s
STEP [130820], EPOCH [79/100], ITER [872/1666] 
LOSS: 0.00046649, TIME: 18790.4s
STEP [130840], EPOCH [79/100], ITER [892/1666] 
LOSS: 0.00047037, TIME: 18793.2s
STEP [130860], EPOCH [79/100], ITER [912/1666] 
LOSS: 0.00055596, TIME: 18796.1s
STEP [130880], EPOCH [79/100], ITER [932/1666] 
LOSS: 0.00076675, TIME: 18798.9s
STEP [130900], EPOCH [79/100], ITER [952/1666] 
LOSS: 0.00044561, TIME: 18801.8s
STEP [130920], EPOCH [79/100], ITER [972/1666] 
LOSS: 0.00047765, TIME: 18804.6s
STEP [130940], EPOCH [79/100], ITER [992/1666] 
LOSS: 0.00036058, TIME: 18807.5s
STEP [130960], EPOCH [79/100], ITER [1012/1666] 
LOSS: 0.00078789, TIME: 18810.3s
STEP [130980], EPOCH [79/100], ITER [1032/1666] 
LOSS: 0.00033154, TIME: 18813.2s
STEP [131000], EPOCH [79/100], ITER [1052/1666] 
LOSS: 0.00047950, TIME: 18816.0s
STEP [131020], EPOCH [79/100], ITER [1072/1666] 
LOSS: 0.00037164, TIME: 18819.0s
STEP [131040], EPOCH [79/100], ITER [1092/1666] 
LOSS: 0.00088515, TIME: 18821.8s
STEP [131060], EPOCH [79/100], ITER [1112/1666] 
LOSS: 0.00064695, TIME: 18824.7s
STEP [131080], EPOCH [79/100], ITER [1132/1666] 
LOSS: 0.00062719, TIME: 18827.5s
STEP [131100], EPOCH [79/100], ITER [1152/1666] 
LOSS: 0.00052300, TIME: 18830.4s
STEP [131120], EPOCH [79/100], ITER [1172/1666] 
LOSS: 0.00062957, TIME: 18833.2s
STEP [131140], EPOCH [79/100], ITER [1192/1666] 
LOSS: 0.00031974, TIME: 18836.1s
STEP [131160], EPOCH [79/100], ITER [1212/1666] 
LOSS: 0.00071234, TIME: 18838.9s
STEP [131180], EPOCH [79/100], ITER [1232/1666] 
LOSS: 0.00044177, TIME: 18841.8s
STEP [131200], EPOCH [79/100], ITER [1252/1666] 
LOSS: 0.00040255, TIME: 18844.7s
STEP [131220], EPOCH [79/100], ITER [1272/1666] 
LOSS: 0.00036177, TIME: 18847.5s
STEP [131240], EPOCH [79/100], ITER [1292/1666] 
LOSS: 0.00033725, TIME: 18850.4s
STEP [131260], EPOCH [79/100], ITER [1312/1666] 
LOSS: 0.00075797, TIME: 18853.2s
STEP [131280], EPOCH [79/100], ITER [1332/1666] 
LOSS: 0.00049967, TIME: 18856.1s
STEP [131300], EPOCH [79/100], ITER [1352/1666] 
LOSS: 0.00053300, TIME: 18858.9s
STEP [131320], EPOCH [79/100], ITER [1372/1666] 
LOSS: 0.00053826, TIME: 18861.8s
STEP [131340], EPOCH [79/100], ITER [1392/1666] 
LOSS: 0.00072419, TIME: 18864.6s
STEP [131360], EPOCH [79/100], ITER [1412/1666] 
LOSS: 0.00063160, TIME: 18867.5s
STEP [131380], EPOCH [79/100], ITER [1432/1666] 
LOSS: 0.00042031, TIME: 18870.3s
STEP [131400], EPOCH [79/100], ITER [1452/1666] 
LOSS: 0.00057882, TIME: 18873.2s
STEP [131420], EPOCH [79/100], ITER [1472/1666] 
LOSS: 0.00032814, TIME: 18876.0s
STEP [131440], EPOCH [79/100], ITER [1492/1666] 
LOSS: 0.00053683, TIME: 18878.9s
STEP [131460], EPOCH [79/100], ITER [1512/1666] 
LOSS: 0.00040938, TIME: 18881.7s
STEP [131480], EPOCH [79/100], ITER [1532/1666] 
LOSS: 0.00064391, TIME: 18884.6s
STEP [131500], EPOCH [79/100], ITER [1552/1666] 
LOSS: 0.00061209, TIME: 18887.5s
STEP [131520], EPOCH [79/100], ITER [1572/1666] 
LOSS: 0.00080193, TIME: 18890.3s
STEP [131540], EPOCH [79/100], ITER [1592/1666] 
LOSS: 0.00037328, TIME: 18893.2s
STEP [131560], EPOCH [79/100], ITER [1612/1666] 
LOSS: 0.00040682, TIME: 18896.0s
STEP [131580], EPOCH [79/100], ITER [1632/1666] 
LOSS: 0.00052415, TIME: 18898.9s
STEP [131600], EPOCH [79/100], ITER [1652/1666] 
LOSS: 0.00116083, TIME: 18901.7s
STEP [131620], EPOCH [80/100], ITER [6/1666] 
LOSS: 0.00035903, TIME: 18906.0s
STEP [131640], EPOCH [80/100], ITER [26/1666] 
LOSS: 0.00069003, TIME: 18908.8s
STEP [131660], EPOCH [80/100], ITER [46/1666] 
LOSS: 0.00043694, TIME: 18911.7s
STEP [131680], EPOCH [80/100], ITER [66/1666] 
LOSS: 0.00058031, TIME: 18914.5s
STEP [131700], EPOCH [80/100], ITER [86/1666] 
LOSS: 0.00047103, TIME: 18917.4s
STEP [131720], EPOCH [80/100], ITER [106/1666] 
LOSS: 0.00063202, TIME: 18920.2s
STEP [131740], EPOCH [80/100], ITER [126/1666] 
LOSS: 0.00045492, TIME: 18923.1s
STEP [131760], EPOCH [80/100], ITER [146/1666] 
LOSS: 0.00056516, TIME: 18925.9s
STEP [131780], EPOCH [80/100], ITER [166/1666] 
LOSS: 0.00053810, TIME: 18928.8s
STEP [131800], EPOCH [80/100], ITER [186/1666] 
LOSS: 0.00048607, TIME: 18931.6s
STEP [131820], EPOCH [80/100], ITER [206/1666] 
LOSS: 0.00051040, TIME: 18934.5s
STEP [131840], EPOCH [80/100], ITER [226/1666] 
LOSS: 0.00061894, TIME: 18937.3s
STEP [131860], EPOCH [80/100], ITER [246/1666] 
LOSS: 0.00109674, TIME: 18940.2s
STEP [131880], EPOCH [80/100], ITER [266/1666] 
LOSS: 0.00054087, TIME: 18943.1s
STEP [131900], EPOCH [80/100], ITER [286/1666] 
LOSS: 0.00052184, TIME: 18945.9s
STEP [131920], EPOCH [80/100], ITER [306/1666] 
LOSS: 0.00073245, TIME: 18948.8s
STEP [131940], EPOCH [80/100], ITER [326/1666] 
LOSS: 0.00049182, TIME: 18951.6s
STEP [131960], EPOCH [80/100], ITER [346/1666] 
LOSS: 0.00066449, TIME: 18954.5s
STEP [131980], EPOCH [80/100], ITER [366/1666] 
LOSS: 0.00029438, TIME: 18957.3s
STEP [132000], EPOCH [80/100], ITER [386/1666] 
LOSS: 0.00052379, TIME: 18960.2s
STEP [132020], EPOCH [80/100], ITER [406/1666] 
LOSS: 0.00048786, TIME: 18963.1s
STEP [132040], EPOCH [80/100], ITER [426/1666] 
LOSS: 0.00036185, TIME: 18966.0s
STEP [132060], EPOCH [80/100], ITER [446/1666] 
LOSS: 0.00048312, TIME: 18968.8s
STEP [132080], EPOCH [80/100], ITER [466/1666] 
LOSS: 0.00046164, TIME: 18971.7s
STEP [132100], EPOCH [80/100], ITER [486/1666] 
LOSS: 0.00051590, TIME: 18974.5s
STEP [132120], EPOCH [80/100], ITER [506/1666] 
LOSS: 0.00064725, TIME: 18977.4s
STEP [132140], EPOCH [80/100], ITER [526/1666] 
LOSS: 0.00049749, TIME: 18980.2s
STEP [132160], EPOCH [80/100], ITER [546/1666] 
LOSS: 0.00054787, TIME: 18983.1s
STEP [132180], EPOCH [80/100], ITER [566/1666] 
LOSS: 0.00083766, TIME: 18985.9s
STEP [132200], EPOCH [80/100], ITER [586/1666] 
LOSS: 0.00049102, TIME: 18988.8s
STEP [132220], EPOCH [80/100], ITER [606/1666] 
LOSS: 0.00035683, TIME: 18991.6s
STEP [132240], EPOCH [80/100], ITER [626/1666] 
LOSS: 0.00056687, TIME: 18994.5s
STEP [132260], EPOCH [80/100], ITER [646/1666] 
LOSS: 0.00067802, TIME: 18997.3s
STEP [132280], EPOCH [80/100], ITER [666/1666] 
LOSS: 0.00058569, TIME: 19000.2s
STEP [132300], EPOCH [80/100], ITER [686/1666] 
LOSS: 0.00035327, TIME: 19003.0s
STEP [132320], EPOCH [80/100], ITER [706/1666] 
LOSS: 0.00044794, TIME: 19005.9s
STEP [132340], EPOCH [80/100], ITER [726/1666] 
LOSS: 0.00065297, TIME: 19008.7s
STEP [132360], EPOCH [80/100], ITER [746/1666] 
LOSS: 0.00049452, TIME: 19011.6s
STEP [132380], EPOCH [80/100], ITER [766/1666] 
LOSS: 0.00024240, TIME: 19014.4s
STEP [132400], EPOCH [80/100], ITER [786/1666] 
LOSS: 0.00104536, TIME: 19017.3s
STEP [132420], EPOCH [80/100], ITER [806/1666] 
LOSS: 0.00056786, TIME: 19020.1s
STEP [132440], EPOCH [80/100], ITER [826/1666] 
LOSS: 0.00030852, TIME: 19023.0s
STEP [132460], EPOCH [80/100], ITER [846/1666] 
LOSS: 0.00044753, TIME: 19025.8s
STEP [132480], EPOCH [80/100], ITER [866/1666] 
LOSS: 0.00083984, TIME: 19028.7s
STEP [132500], EPOCH [80/100], ITER [886/1666] 
LOSS: 0.00095538, TIME: 19031.5s
STEP [132520], EPOCH [80/100], ITER [906/1666] 
LOSS: 0.00044209, TIME: 19034.4s
STEP [132540], EPOCH [80/100], ITER [926/1666] 
LOSS: 0.00077938, TIME: 19037.2s
STEP [132560], EPOCH [80/100], ITER [946/1666] 
LOSS: 0.00052276, TIME: 19040.1s
STEP [132580], EPOCH [80/100], ITER [966/1666] 
LOSS: 0.00058311, TIME: 19042.9s
STEP [132600], EPOCH [80/100], ITER [986/1666] 
LOSS: 0.00048794, TIME: 19045.8s
STEP [132620], EPOCH [80/100], ITER [1006/1666] 
LOSS: 0.00043419, TIME: 19048.6s
STEP [132640], EPOCH [80/100], ITER [1026/1666] 
LOSS: 0.00035848, TIME: 19051.5s
STEP [132660], EPOCH [80/100], ITER [1046/1666] 
LOSS: 0.00030373, TIME: 19054.3s
STEP [132680], EPOCH [80/100], ITER [1066/1666] 
LOSS: 0.00068029, TIME: 19057.2s
STEP [132700], EPOCH [80/100], ITER [1086/1666] 
LOSS: 0.00053082, TIME: 19060.0s
STEP [132720], EPOCH [80/100], ITER [1106/1666] 
LOSS: 0.00070774, TIME: 19062.9s
STEP [132740], EPOCH [80/100], ITER [1126/1666] 
LOSS: 0.00064097, TIME: 19065.7s
STEP [132760], EPOCH [80/100], ITER [1146/1666] 
LOSS: 0.00069841, TIME: 19068.6s
STEP [132780], EPOCH [80/100], ITER [1166/1666] 
LOSS: 0.00085189, TIME: 19071.4s
STEP [132800], EPOCH [80/100], ITER [1186/1666] 
LOSS: 0.00055705, TIME: 19074.3s
STEP [132820], EPOCH [80/100], ITER [1206/1666] 
LOSS: 0.00034214, TIME: 19077.1s
STEP [132840], EPOCH [80/100], ITER [1226/1666] 
LOSS: 0.00040413, TIME: 19080.0s
STEP [132860], EPOCH [80/100], ITER [1246/1666] 
LOSS: 0.00044699, TIME: 19082.8s
STEP [132880], EPOCH [80/100], ITER [1266/1666] 
LOSS: 0.00053814, TIME: 19085.7s
STEP [132900], EPOCH [80/100], ITER [1286/1666] 
LOSS: 0.00047939, TIME: 19088.5s
STEP [132920], EPOCH [80/100], ITER [1306/1666] 
LOSS: 0.00065963, TIME: 19091.4s
STEP [132940], EPOCH [80/100], ITER [1326/1666] 
LOSS: 0.00078816, TIME: 19094.2s
STEP [132960], EPOCH [80/100], ITER [1346/1666] 
LOSS: 0.00063176, TIME: 19097.1s
STEP [132980], EPOCH [80/100], ITER [1366/1666] 
LOSS: 0.00088130, TIME: 19099.9s
STEP [133000], EPOCH [80/100], ITER [1386/1666] 
LOSS: 0.00059736, TIME: 19102.8s
STEP [133020], EPOCH [80/100], ITER [1406/1666] 
LOSS: 0.00063102, TIME: 19105.7s
STEP [133040], EPOCH [80/100], ITER [1426/1666] 
LOSS: 0.00069567, TIME: 19108.6s
STEP [133060], EPOCH [80/100], ITER [1446/1666] 
LOSS: 0.00064903, TIME: 19111.4s
STEP [133080], EPOCH [80/100], ITER [1466/1666] 
LOSS: 0.00047935, TIME: 19114.3s
STEP [133100], EPOCH [80/100], ITER [1486/1666] 
LOSS: 0.00102311, TIME: 19117.1s
STEP [133120], EPOCH [80/100], ITER [1506/1666] 
LOSS: 0.00052448, TIME: 19120.0s
STEP [133140], EPOCH [80/100], ITER [1526/1666] 
LOSS: 0.00112571, TIME: 19122.8s
STEP [133160], EPOCH [80/100], ITER [1546/1666] 
LOSS: 0.00030175, TIME: 19125.7s
STEP [133180], EPOCH [80/100], ITER [1566/1666] 
LOSS: 0.00053583, TIME: 19128.5s
STEP [133200], EPOCH [80/100], ITER [1586/1666] 
LOSS: 0.00072429, TIME: 19131.4s
STEP [133220], EPOCH [80/100], ITER [1606/1666] 
LOSS: 0.00047689, TIME: 19134.2s
STEP [133240], EPOCH [80/100], ITER [1626/1666] 
LOSS: 0.00044438, TIME: 19137.1s
STEP [133260], EPOCH [80/100], ITER [1646/1666] 
LOSS: 0.00034458, TIME: 19140.0s
STEP [133280], EPOCH [80/100], ITER [1666/1666] 
LOSS: 0.00028816, TIME: 19142.7s
STEP [133300], EPOCH [81/100], ITER [20/1666] 
LOSS: 0.00041502, TIME: 19147.1s
STEP [133320], EPOCH [81/100], ITER [40/1666] 
LOSS: 0.00047173, TIME: 19150.0s
STEP [133340], EPOCH [81/100], ITER [60/1666] 
LOSS: 0.00031428, TIME: 19152.8s
STEP [133360], EPOCH [81/100], ITER [80/1666] 
LOSS: 0.00075773, TIME: 19155.7s
STEP [133380], EPOCH [81/100], ITER [100/1666] 
LOSS: 0.00051202, TIME: 19158.5s
STEP [133400], EPOCH [81/100], ITER [120/1666] 
LOSS: 0.00046605, TIME: 19161.4s
STEP [133420], EPOCH [81/100], ITER [140/1666] 
LOSS: 0.00030611, TIME: 19164.2s
STEP [133440], EPOCH [81/100], ITER [160/1666] 
LOSS: 0.00050343, TIME: 19167.1s
STEP [133460], EPOCH [81/100], ITER [180/1666] 
LOSS: 0.00057105, TIME: 19169.9s
STEP [133480], EPOCH [81/100], ITER [200/1666] 
LOSS: 0.00065473, TIME: 19172.8s
STEP [133500], EPOCH [81/100], ITER [220/1666] 
LOSS: 0.00047258, TIME: 19175.6s
STEP [133520], EPOCH [81/100], ITER [240/1666] 
LOSS: 0.00056637, TIME: 19178.5s
STEP [133540], EPOCH [81/100], ITER [260/1666] 
LOSS: 0.00061278, TIME: 19181.3s
STEP [133560], EPOCH [81/100], ITER [280/1666] 
LOSS: 0.00064900, TIME: 19184.2s
STEP [133580], EPOCH [81/100], ITER [300/1666] 
LOSS: 0.00044784, TIME: 19187.0s
STEP [133600], EPOCH [81/100], ITER [320/1666] 
LOSS: 0.00077888, TIME: 19189.9s
STEP [133620], EPOCH [81/100], ITER [340/1666] 
LOSS: 0.00056549, TIME: 19192.7s
STEP [133640], EPOCH [81/100], ITER [360/1666] 
LOSS: 0.00056756, TIME: 19195.6s
STEP [133660], EPOCH [81/100], ITER [380/1666] 
LOSS: 0.00074761, TIME: 19198.4s
STEP [133680], EPOCH [81/100], ITER [400/1666] 
LOSS: 0.00046679, TIME: 19201.3s
STEP [133700], EPOCH [81/100], ITER [420/1666] 
LOSS: 0.00047455, TIME: 19204.1s
STEP [133720], EPOCH [81/100], ITER [440/1666] 
LOSS: 0.00040297, TIME: 19207.0s
STEP [133740], EPOCH [81/100], ITER [460/1666] 
LOSS: 0.00062872, TIME: 19209.8s
STEP [133760], EPOCH [81/100], ITER [480/1666] 
LOSS: 0.00031820, TIME: 19212.7s
STEP [133780], EPOCH [81/100], ITER [500/1666] 
LOSS: 0.00036305, TIME: 19215.5s
STEP [133800], EPOCH [81/100], ITER [520/1666] 
LOSS: 0.00105342, TIME: 19218.4s
STEP [133820], EPOCH [81/100], ITER [540/1666] 
LOSS: 0.00119944, TIME: 19221.2s
STEP [133840], EPOCH [81/100], ITER [560/1666] 
LOSS: 0.00073729, TIME: 19224.1s
STEP [133860], EPOCH [81/100], ITER [580/1666] 
LOSS: 0.00056285, TIME: 19226.9s
STEP [133880], EPOCH [81/100], ITER [600/1666] 
LOSS: 0.00063623, TIME: 19229.8s
STEP [133900], EPOCH [81/100], ITER [620/1666] 
LOSS: 0.00049374, TIME: 19232.6s
STEP [133920], EPOCH [81/100], ITER [640/1666] 
LOSS: 0.00068011, TIME: 19235.5s
STEP [133940], EPOCH [81/100], ITER [660/1666] 
LOSS: 0.00075829, TIME: 19238.3s
STEP [133960], EPOCH [81/100], ITER [680/1666] 
LOSS: 0.00045001, TIME: 19241.2s
STEP [133980], EPOCH [81/100], ITER [700/1666] 
LOSS: 0.00063816, TIME: 19244.0s
STEP [134000], EPOCH [81/100], ITER [720/1666] 
LOSS: 0.00061394, TIME: 19246.9s
STEP [134020], EPOCH [81/100], ITER [740/1666] 
LOSS: 0.00123807, TIME: 19249.8s
STEP [134040], EPOCH [81/100], ITER [760/1666] 
LOSS: 0.00057772, TIME: 19252.7s
STEP [134060], EPOCH [81/100], ITER [780/1666] 
LOSS: 0.00052255, TIME: 19255.5s
STEP [134080], EPOCH [81/100], ITER [800/1666] 
LOSS: 0.00049428, TIME: 19258.4s
STEP [134100], EPOCH [81/100], ITER [820/1666] 
LOSS: 0.00053277, TIME: 19261.2s
STEP [134120], EPOCH [81/100], ITER [840/1666] 
LOSS: 0.00034978, TIME: 19264.1s
STEP [134140], EPOCH [81/100], ITER [860/1666] 
LOSS: 0.00067390, TIME: 19266.9s
STEP [134160], EPOCH [81/100], ITER [880/1666] 
LOSS: 0.00041565, TIME: 19269.8s
STEP [134180], EPOCH [81/100], ITER [900/1666] 
LOSS: 0.00048503, TIME: 19272.6s
STEP [134200], EPOCH [81/100], ITER [920/1666] 
LOSS: 0.00039687, TIME: 19275.5s
STEP [134220], EPOCH [81/100], ITER [940/1666] 
LOSS: 0.00063920, TIME: 19278.3s
STEP [134240], EPOCH [81/100], ITER [960/1666] 
LOSS: 0.00080153, TIME: 19281.2s
STEP [134260], EPOCH [81/100], ITER [980/1666] 
LOSS: 0.00068965, TIME: 19284.0s
STEP [134280], EPOCH [81/100], ITER [1000/1666] 
LOSS: 0.00067110, TIME: 19286.9s
STEP [134300], EPOCH [81/100], ITER [1020/1666] 
LOSS: 0.00066272, TIME: 19289.8s
STEP [134320], EPOCH [81/100], ITER [1040/1666] 
LOSS: 0.00048536, TIME: 19292.6s
STEP [134340], EPOCH [81/100], ITER [1060/1666] 
LOSS: 0.00069358, TIME: 19295.5s
STEP [134360], EPOCH [81/100], ITER [1080/1666] 
LOSS: 0.00074668, TIME: 19298.3s
STEP [134380], EPOCH [81/100], ITER [1100/1666] 
LOSS: 0.00061878, TIME: 19301.2s
STEP [134400], EPOCH [81/100], ITER [1120/1666] 
LOSS: 0.00040172, TIME: 19304.0s
STEP [134420], EPOCH [81/100], ITER [1140/1666] 
LOSS: 0.00029066, TIME: 19306.9s
STEP [134440], EPOCH [81/100], ITER [1160/1666] 
LOSS: 0.00039879, TIME: 19309.7s
STEP [134460], EPOCH [81/100], ITER [1180/1666] 
LOSS: 0.00042121, TIME: 19312.6s
STEP [134480], EPOCH [81/100], ITER [1200/1666] 
LOSS: 0.00054209, TIME: 19315.4s
STEP [134500], EPOCH [81/100], ITER [1220/1666] 
LOSS: 0.00074255, TIME: 19318.3s
STEP [134520], EPOCH [81/100], ITER [1240/1666] 
LOSS: 0.00067703, TIME: 19321.1s
STEP [134540], EPOCH [81/100], ITER [1260/1666] 
LOSS: 0.00082690, TIME: 19324.0s
STEP [134560], EPOCH [81/100], ITER [1280/1666] 
LOSS: 0.00088997, TIME: 19326.8s
STEP [134580], EPOCH [81/100], ITER [1300/1666] 
LOSS: 0.00068553, TIME: 19329.7s
STEP [134600], EPOCH [81/100], ITER [1320/1666] 
LOSS: 0.00083133, TIME: 19332.5s
STEP [134620], EPOCH [81/100], ITER [1340/1666] 
LOSS: 0.00054221, TIME: 19335.4s
STEP [134640], EPOCH [81/100], ITER [1360/1666] 
LOSS: 0.00081889, TIME: 19338.2s
STEP [134660], EPOCH [81/100], ITER [1380/1666] 
LOSS: 0.00055924, TIME: 19341.1s
STEP [134680], EPOCH [81/100], ITER [1400/1666] 
LOSS: 0.00043825, TIME: 19343.9s
STEP [134700], EPOCH [81/100], ITER [1420/1666] 
LOSS: 0.00067974, TIME: 19346.8s
STEP [134720], EPOCH [81/100], ITER [1440/1666] 
LOSS: 0.00048106, TIME: 19349.6s
STEP [134740], EPOCH [81/100], ITER [1460/1666] 
LOSS: 0.00097378, TIME: 19352.5s
STEP [134760], EPOCH [81/100], ITER [1480/1666] 
LOSS: 0.00059604, TIME: 19355.3s
STEP [134780], EPOCH [81/100], ITER [1500/1666] 
LOSS: 0.00045275, TIME: 19358.2s
STEP [134800], EPOCH [81/100], ITER [1520/1666] 
LOSS: 0.00044589, TIME: 19361.1s
STEP [134820], EPOCH [81/100], ITER [1540/1666] 
LOSS: 0.00037589, TIME: 19363.9s
STEP [134840], EPOCH [81/100], ITER [1560/1666] 
LOSS: 0.00094229, TIME: 19366.8s
STEP [134860], EPOCH [81/100], ITER [1580/1666] 
LOSS: 0.00033996, TIME: 19369.6s
STEP [134880], EPOCH [81/100], ITER [1600/1666] 
LOSS: 0.00032805, TIME: 19372.5s
STEP [134900], EPOCH [81/100], ITER [1620/1666] 
LOSS: 0.00066547, TIME: 19375.3s
STEP [134920], EPOCH [81/100], ITER [1640/1666] 
LOSS: 0.00067284, TIME: 19378.2s
STEP [134940], EPOCH [81/100], ITER [1660/1666] 
LOSS: 0.00038614, TIME: 19381.0s
STEP [134960], EPOCH [82/100], ITER [14/1666] 
LOSS: 0.00030286, TIME: 19385.3s
STEP [134980], EPOCH [82/100], ITER [34/1666] 
LOSS: 0.00057391, TIME: 19388.1s
STEP [135000], EPOCH [82/100], ITER [54/1666] 
LOSS: 0.00053046, TIME: 19391.0s
STEP [135020], EPOCH [82/100], ITER [74/1666] 
LOSS: 0.00051387, TIME: 19393.9s
STEP [135040], EPOCH [82/100], ITER [94/1666] 
LOSS: 0.00085636, TIME: 19396.8s
STEP [135060], EPOCH [82/100], ITER [114/1666] 
LOSS: 0.00043548, TIME: 19399.6s
STEP [135080], EPOCH [82/100], ITER [134/1666] 
LOSS: 0.00065315, TIME: 19402.5s
STEP [135100], EPOCH [82/100], ITER [154/1666] 
LOSS: 0.00042894, TIME: 19405.4s
STEP [135120], EPOCH [82/100], ITER [174/1666] 
LOSS: 0.00059765, TIME: 19408.2s
STEP [135140], EPOCH [82/100], ITER [194/1666] 
LOSS: 0.00049993, TIME: 19411.1s
STEP [135160], EPOCH [82/100], ITER [214/1666] 
LOSS: 0.00033568, TIME: 19413.9s
STEP [135180], EPOCH [82/100], ITER [234/1666] 
LOSS: 0.00053963, TIME: 19416.8s
STEP [135200], EPOCH [82/100], ITER [254/1666] 
LOSS: 0.00053593, TIME: 19419.6s
STEP [135220], EPOCH [82/100], ITER [274/1666] 
LOSS: 0.00041807, TIME: 19422.5s
STEP [135240], EPOCH [82/100], ITER [294/1666] 
LOSS: 0.00066038, TIME: 19425.3s
STEP [135260], EPOCH [82/100], ITER [314/1666] 
LOSS: 0.00058478, TIME: 19428.2s
STEP [135280], EPOCH [82/100], ITER [334/1666] 
LOSS: 0.00070489, TIME: 19431.0s
STEP [135300], EPOCH [82/100], ITER [354/1666] 
LOSS: 0.00061964, TIME: 19433.9s
STEP [135320], EPOCH [82/100], ITER [374/1666] 
LOSS: 0.00053516, TIME: 19436.7s
STEP [135340], EPOCH [82/100], ITER [394/1666] 
LOSS: 0.00056782, TIME: 19439.6s
STEP [135360], EPOCH [82/100], ITER [414/1666] 
LOSS: 0.00066143, TIME: 19442.4s
STEP [135380], EPOCH [82/100], ITER [434/1666] 
LOSS: 0.00056711, TIME: 19445.3s
STEP [135400], EPOCH [82/100], ITER [454/1666] 
LOSS: 0.00063161, TIME: 19448.1s
STEP [135420], EPOCH [82/100], ITER [474/1666] 
LOSS: 0.00052665, TIME: 19451.0s
STEP [135440], EPOCH [82/100], ITER [494/1666] 
LOSS: 0.00066792, TIME: 19453.9s
STEP [135460], EPOCH [82/100], ITER [514/1666] 
LOSS: 0.00055629, TIME: 19456.7s
STEP [135480], EPOCH [82/100], ITER [534/1666] 
LOSS: 0.00110215, TIME: 19459.6s
STEP [135500], EPOCH [82/100], ITER [554/1666] 
LOSS: 0.00083276, TIME: 19462.4s
STEP [135520], EPOCH [82/100], ITER [574/1666] 
LOSS: 0.00067949, TIME: 19465.3s
STEP [135540], EPOCH [82/100], ITER [594/1666] 
LOSS: 0.00064673, TIME: 19468.1s
STEP [135560], EPOCH [82/100], ITER [614/1666] 
LOSS: 0.00042071, TIME: 19471.0s
STEP [135580], EPOCH [82/100], ITER [634/1666] 
LOSS: 0.00042409, TIME: 19473.8s
STEP [135600], EPOCH [82/100], ITER [654/1666] 
LOSS: 0.00041194, TIME: 19476.7s
STEP [135620], EPOCH [82/100], ITER [674/1666] 
LOSS: 0.00059337, TIME: 19479.5s
STEP [135640], EPOCH [82/100], ITER [694/1666] 
LOSS: 0.00054148, TIME: 19482.4s
STEP [135660], EPOCH [82/100], ITER [714/1666] 
LOSS: 0.00070345, TIME: 19485.2s
STEP [135680], EPOCH [82/100], ITER [734/1666] 
LOSS: 0.00066906, TIME: 19488.1s
STEP [135700], EPOCH [82/100], ITER [754/1666] 
LOSS: 0.00041994, TIME: 19491.0s
STEP [135720], EPOCH [82/100], ITER [774/1666] 
LOSS: 0.00052149, TIME: 19493.8s
STEP [135740], EPOCH [82/100], ITER [794/1666] 
LOSS: 0.00071910, TIME: 19496.7s
STEP [135760], EPOCH [82/100], ITER [814/1666] 
LOSS: 0.00071160, TIME: 19499.5s
STEP [135780], EPOCH [82/100], ITER [834/1666] 
LOSS: 0.00055046, TIME: 19502.4s
STEP [135800], EPOCH [82/100], ITER [854/1666] 
LOSS: 0.00038252, TIME: 19505.2s
STEP [135820], EPOCH [82/100], ITER [874/1666] 
LOSS: 0.00065412, TIME: 19508.1s
STEP [135840], EPOCH [82/100], ITER [894/1666] 
LOSS: 0.00043827, TIME: 19510.9s
STEP [135860], EPOCH [82/100], ITER [914/1666] 
LOSS: 0.00084532, TIME: 19513.8s
STEP [135880], EPOCH [82/100], ITER [934/1666] 
LOSS: 0.00070934, TIME: 19516.6s
STEP [135900], EPOCH [82/100], ITER [954/1666] 
LOSS: 0.00059478, TIME: 19519.5s
STEP [135920], EPOCH [82/100], ITER [974/1666] 
LOSS: 0.00035885, TIME: 19522.3s
STEP [135940], EPOCH [82/100], ITER [994/1666] 
LOSS: 0.00058262, TIME: 19525.2s
STEP [135960], EPOCH [82/100], ITER [1014/1666] 
LOSS: 0.00073264, TIME: 19528.1s
STEP [135980], EPOCH [82/100], ITER [1034/1666] 
LOSS: 0.00050633, TIME: 19530.9s
STEP [136000], EPOCH [82/100], ITER [1054/1666] 
LOSS: 0.00054079, TIME: 19533.8s
STEP [136020], EPOCH [82/100], ITER [1074/1666] 
LOSS: 0.00079776, TIME: 19536.7s
STEP [136040], EPOCH [82/100], ITER [1094/1666] 
LOSS: 0.00082469, TIME: 19539.6s
STEP [136060], EPOCH [82/100], ITER [1114/1666] 
LOSS: 0.00045935, TIME: 19542.4s
STEP [136080], EPOCH [82/100], ITER [1134/1666] 
LOSS: 0.00086219, TIME: 19545.3s
STEP [136100], EPOCH [82/100], ITER [1154/1666] 
LOSS: 0.00030722, TIME: 19548.1s
STEP [136120], EPOCH [82/100], ITER [1174/1666] 
LOSS: 0.00085010, TIME: 19551.0s
STEP [136140], EPOCH [82/100], ITER [1194/1666] 
LOSS: 0.00110967, TIME: 19553.8s
STEP [136160], EPOCH [82/100], ITER [1214/1666] 
LOSS: 0.00050532, TIME: 19556.7s
STEP [136180], EPOCH [82/100], ITER [1234/1666] 
LOSS: 0.00072831, TIME: 19559.5s
STEP [136200], EPOCH [82/100], ITER [1254/1666] 
LOSS: 0.00041543, TIME: 19562.4s
STEP [136220], EPOCH [82/100], ITER [1274/1666] 
LOSS: 0.00062713, TIME: 19565.2s
STEP [136240], EPOCH [82/100], ITER [1294/1666] 
LOSS: 0.00060203, TIME: 19568.1s
STEP [136260], EPOCH [82/100], ITER [1314/1666] 
LOSS: 0.00090604, TIME: 19570.9s
STEP [136280], EPOCH [82/100], ITER [1334/1666] 
LOSS: 0.00027715, TIME: 19573.8s
STEP [136300], EPOCH [82/100], ITER [1354/1666] 
LOSS: 0.00038487, TIME: 19576.7s
STEP [136320], EPOCH [82/100], ITER [1374/1666] 
LOSS: 0.00042351, TIME: 19579.5s
STEP [136340], EPOCH [82/100], ITER [1394/1666] 
LOSS: 0.00057968, TIME: 19582.4s
STEP [136360], EPOCH [82/100], ITER [1414/1666] 
LOSS: 0.00049646, TIME: 19585.2s
STEP [136380], EPOCH [82/100], ITER [1434/1666] 
LOSS: 0.00125900, TIME: 19588.1s
STEP [136400], EPOCH [82/100], ITER [1454/1666] 
LOSS: 0.00076652, TIME: 19590.9s
STEP [136420], EPOCH [82/100], ITER [1474/1666] 
LOSS: 0.00052987, TIME: 19593.8s
STEP [136440], EPOCH [82/100], ITER [1494/1666] 
LOSS: 0.00041946, TIME: 19596.6s
STEP [136460], EPOCH [82/100], ITER [1514/1666] 
LOSS: 0.00050052, TIME: 19599.5s
STEP [136480], EPOCH [82/100], ITER [1534/1666] 
LOSS: 0.00058280, TIME: 19602.3s
STEP [136500], EPOCH [82/100], ITER [1554/1666] 
LOSS: 0.00039740, TIME: 19605.2s
STEP [136520], EPOCH [82/100], ITER [1574/1666] 
LOSS: 0.00062570, TIME: 19608.0s
STEP [136540], EPOCH [82/100], ITER [1594/1666] 
LOSS: 0.00048000, TIME: 19610.9s
STEP [136560], EPOCH [82/100], ITER [1614/1666] 
LOSS: 0.00031021, TIME: 19613.8s
STEP [136580], EPOCH [82/100], ITER [1634/1666] 
LOSS: 0.00083074, TIME: 19616.6s
STEP [136600], EPOCH [82/100], ITER [1654/1666] 
LOSS: 0.00045061, TIME: 19619.5s
STEP [136620], EPOCH [83/100], ITER [8/1666] 
LOSS: 0.00056415, TIME: 19623.7s
STEP [136640], EPOCH [83/100], ITER [28/1666] 
LOSS: 0.00054802, TIME: 19626.6s
STEP [136660], EPOCH [83/100], ITER [48/1666] 
LOSS: 0.00055963, TIME: 19629.4s
STEP [136680], EPOCH [83/100], ITER [68/1666] 
LOSS: 0.00045261, TIME: 19632.3s
STEP [136700], EPOCH [83/100], ITER [88/1666] 
LOSS: 0.00053768, TIME: 19635.1s
STEP [136720], EPOCH [83/100], ITER [108/1666] 
LOSS: 0.00037755, TIME: 19638.0s
STEP [136740], EPOCH [83/100], ITER [128/1666] 
LOSS: 0.00115000, TIME: 19640.8s
STEP [136760], EPOCH [83/100], ITER [148/1666] 
LOSS: 0.00071973, TIME: 19643.7s
STEP [136780], EPOCH [83/100], ITER [168/1666] 
LOSS: 0.00066160, TIME: 19646.5s
STEP [136800], EPOCH [83/100], ITER [188/1666] 
LOSS: 0.00052945, TIME: 19649.4s
STEP [136820], EPOCH [83/100], ITER [208/1666] 
LOSS: 0.00018281, TIME: 19652.2s
STEP [136840], EPOCH [83/100], ITER [228/1666] 
LOSS: 0.00054065, TIME: 19655.1s
STEP [136860], EPOCH [83/100], ITER [248/1666] 
LOSS: 0.00030796, TIME: 19658.0s
STEP [136880], EPOCH [83/100], ITER [268/1666] 
LOSS: 0.00071018, TIME: 19660.8s
STEP [136900], EPOCH [83/100], ITER [288/1666] 
LOSS: 0.00051473, TIME: 19663.7s
STEP [136920], EPOCH [83/100], ITER [308/1666] 
LOSS: 0.00040106, TIME: 19666.5s
STEP [136940], EPOCH [83/100], ITER [328/1666] 
LOSS: 0.00071936, TIME: 19669.4s
STEP [136960], EPOCH [83/100], ITER [348/1666] 
LOSS: 0.00056583, TIME: 19672.2s
STEP [136980], EPOCH [83/100], ITER [368/1666] 
LOSS: 0.00027983, TIME: 19675.1s
STEP [137000], EPOCH [83/100], ITER [388/1666] 
LOSS: 0.00071720, TIME: 19677.9s
STEP [137020], EPOCH [83/100], ITER [408/1666] 
LOSS: 0.00081491, TIME: 19680.9s
STEP [137040], EPOCH [83/100], ITER [428/1666] 
LOSS: 0.00054986, TIME: 19683.7s
STEP [137060], EPOCH [83/100], ITER [448/1666] 
LOSS: 0.00039148, TIME: 19686.6s
STEP [137080], EPOCH [83/100], ITER [468/1666] 
LOSS: 0.00049536, TIME: 19689.4s
STEP [137100], EPOCH [83/100], ITER [488/1666] 
LOSS: 0.00064289, TIME: 19692.3s
STEP [137120], EPOCH [83/100], ITER [508/1666] 
LOSS: 0.00089749, TIME: 19695.1s
STEP [137140], EPOCH [83/100], ITER [528/1666] 
LOSS: 0.00056582, TIME: 19698.0s
STEP [137160], EPOCH [83/100], ITER [548/1666] 
LOSS: 0.00049851, TIME: 19700.9s
STEP [137180], EPOCH [83/100], ITER [568/1666] 
LOSS: 0.00053882, TIME: 19703.7s
STEP [137200], EPOCH [83/100], ITER [588/1666] 
LOSS: 0.00074205, TIME: 19706.6s
STEP [137220], EPOCH [83/100], ITER [608/1666] 
LOSS: 0.00068740, TIME: 19709.4s
STEP [137240], EPOCH [83/100], ITER [628/1666] 
LOSS: 0.00053631, TIME: 19712.3s
STEP [137260], EPOCH [83/100], ITER [648/1666] 
LOSS: 0.00044946, TIME: 19715.1s
STEP [137280], EPOCH [83/100], ITER [668/1666] 
LOSS: 0.00058678, TIME: 19718.0s
STEP [137300], EPOCH [83/100], ITER [688/1666] 
LOSS: 0.00053150, TIME: 19720.8s
STEP [137320], EPOCH [83/100], ITER [708/1666] 
LOSS: 0.00091603, TIME: 19723.7s
STEP [137340], EPOCH [83/100], ITER [728/1666] 
LOSS: 0.00056400, TIME: 19726.5s
STEP [137360], EPOCH [83/100], ITER [748/1666] 
LOSS: 0.00056124, TIME: 19729.4s
STEP [137380], EPOCH [83/100], ITER [768/1666] 
LOSS: 0.00072729, TIME: 19732.2s
STEP [137400], EPOCH [83/100], ITER [788/1666] 
LOSS: 0.00060089, TIME: 19735.1s
STEP [137420], EPOCH [83/100], ITER [808/1666] 
LOSS: 0.00059529, TIME: 19737.9s
STEP [137440], EPOCH [83/100], ITER [828/1666] 
LOSS: 0.00059537, TIME: 19740.8s
STEP [137460], EPOCH [83/100], ITER [848/1666] 
LOSS: 0.00057569, TIME: 19743.6s
STEP [137480], EPOCH [83/100], ITER [868/1666] 
LOSS: 0.00061077, TIME: 19746.5s
STEP [137500], EPOCH [83/100], ITER [888/1666] 
LOSS: 0.00065807, TIME: 19749.4s
STEP [137520], EPOCH [83/100], ITER [908/1666] 
LOSS: 0.00038747, TIME: 19752.2s
STEP [137540], EPOCH [83/100], ITER [928/1666] 
LOSS: 0.00067084, TIME: 19755.1s
STEP [137560], EPOCH [83/100], ITER [948/1666] 
LOSS: 0.00062472, TIME: 19757.9s
STEP [137580], EPOCH [83/100], ITER [968/1666] 
LOSS: 0.00052107, TIME: 19760.8s
STEP [137600], EPOCH [83/100], ITER [988/1666] 
LOSS: 0.00047499, TIME: 19763.6s
STEP [137620], EPOCH [83/100], ITER [1008/1666] 
LOSS: 0.00046585, TIME: 19766.5s
STEP [137640], EPOCH [83/100], ITER [1028/1666] 
LOSS: 0.00062847, TIME: 19769.3s
STEP [137660], EPOCH [83/100], ITER [1048/1666] 
LOSS: 0.00112212, TIME: 19772.2s
STEP [137680], EPOCH [83/100], ITER [1068/1666] 
LOSS: 0.00066611, TIME: 19775.0s
STEP [137700], EPOCH [83/100], ITER [1088/1666] 
LOSS: 0.00060178, TIME: 19777.9s
STEP [137720], EPOCH [83/100], ITER [1108/1666] 
LOSS: 0.00064243, TIME: 19780.7s
STEP [137740], EPOCH [83/100], ITER [1128/1666] 
LOSS: 0.00043589, TIME: 19783.6s
STEP [137760], EPOCH [83/100], ITER [1148/1666] 
LOSS: 0.00049189, TIME: 19786.4s
STEP [137780], EPOCH [83/100], ITER [1168/1666] 
LOSS: 0.00049820, TIME: 19789.3s
STEP [137800], EPOCH [83/100], ITER [1188/1666] 
LOSS: 0.00024378, TIME: 19792.1s
STEP [137820], EPOCH [83/100], ITER [1208/1666] 
LOSS: 0.00057425, TIME: 19795.0s
STEP [137840], EPOCH [83/100], ITER [1228/1666] 
LOSS: 0.00047403, TIME: 19797.8s
STEP [137860], EPOCH [83/100], ITER [1248/1666] 
LOSS: 0.00062806, TIME: 19800.7s
STEP [137880], EPOCH [83/100], ITER [1268/1666] 
LOSS: 0.00042249, TIME: 19803.6s
STEP [137900], EPOCH [83/100], ITER [1288/1666] 
LOSS: 0.00050412, TIME: 19806.4s
STEP [137920], EPOCH [83/100], ITER [1308/1666] 
LOSS: 0.00050570, TIME: 19809.3s
STEP [137940], EPOCH [83/100], ITER [1328/1666] 
LOSS: 0.00144223, TIME: 19812.1s
STEP [137960], EPOCH [83/100], ITER [1348/1666] 
LOSS: 0.00143665, TIME: 19815.0s
STEP [137980], EPOCH [83/100], ITER [1368/1666] 
LOSS: 0.00047846, TIME: 19817.8s
STEP [138000], EPOCH [83/100], ITER [1388/1666] 
LOSS: 0.00063597, TIME: 19820.7s
STEP [138020], EPOCH [83/100], ITER [1408/1666] 
LOSS: 0.00068196, TIME: 19823.6s
STEP [138040], EPOCH [83/100], ITER [1428/1666] 
LOSS: 0.00052489, TIME: 19826.5s
STEP [138060], EPOCH [83/100], ITER [1448/1666] 
LOSS: 0.00057771, TIME: 19829.3s
STEP [138080], EPOCH [83/100], ITER [1468/1666] 
LOSS: 0.00059151, TIME: 19832.2s
STEP [138100], EPOCH [83/100], ITER [1488/1666] 
LOSS: 0.00053593, TIME: 19835.0s
STEP [138120], EPOCH [83/100], ITER [1508/1666] 
LOSS: 0.00055773, TIME: 19837.9s
STEP [138140], EPOCH [83/100], ITER [1528/1666] 
LOSS: 0.00053053, TIME: 19840.7s
STEP [138160], EPOCH [83/100], ITER [1548/1666] 
LOSS: 0.00039924, TIME: 19843.6s
STEP [138180], EPOCH [83/100], ITER [1568/1666] 
LOSS: 0.00037514, TIME: 19846.4s
STEP [138200], EPOCH [83/100], ITER [1588/1666] 
LOSS: 0.00041085, TIME: 19849.3s
STEP [138220], EPOCH [83/100], ITER [1608/1666] 
LOSS: 0.00044929, TIME: 19852.1s
STEP [138240], EPOCH [83/100], ITER [1628/1666] 
LOSS: 0.00051327, TIME: 19855.0s
STEP [138260], EPOCH [83/100], ITER [1648/1666] 
LOSS: 0.00062176, TIME: 19857.8s
STEP [138280], EPOCH [84/100], ITER [2/1666] 
LOSS: 0.00028856, TIME: 19862.1s
STEP [138300], EPOCH [84/100], ITER [22/1666] 
LOSS: 0.00056075, TIME: 19864.9s
STEP [138320], EPOCH [84/100], ITER [42/1666] 
LOSS: 0.00093902, TIME: 19867.8s
STEP [138340], EPOCH [84/100], ITER [62/1666] 
LOSS: 0.00090467, TIME: 19870.6s
STEP [138360], EPOCH [84/100], ITER [82/1666] 
LOSS: 0.00097322, TIME: 19873.5s
STEP [138380], EPOCH [84/100], ITER [102/1666] 
LOSS: 0.00057545, TIME: 19876.3s
STEP [138400], EPOCH [84/100], ITER [122/1666] 
LOSS: 0.00057194, TIME: 19879.2s
STEP [138420], EPOCH [84/100], ITER [142/1666] 
LOSS: 0.00060720, TIME: 19882.1s
STEP [138440], EPOCH [84/100], ITER [162/1666] 
LOSS: 0.00036809, TIME: 19884.9s
STEP [138460], EPOCH [84/100], ITER [182/1666] 
LOSS: 0.00058054, TIME: 19887.8s
STEP [138480], EPOCH [84/100], ITER [202/1666] 
LOSS: 0.00053215, TIME: 19890.6s
STEP [138500], EPOCH [84/100], ITER [222/1666] 
LOSS: 0.00051186, TIME: 19893.5s
STEP [138520], EPOCH [84/100], ITER [242/1666] 
LOSS: 0.00041138, TIME: 19896.3s
STEP [138540], EPOCH [84/100], ITER [262/1666] 
LOSS: 0.00073949, TIME: 19899.2s
STEP [138560], EPOCH [84/100], ITER [282/1666] 
LOSS: 0.00060576, TIME: 19902.0s
STEP [138580], EPOCH [84/100], ITER [302/1666] 
LOSS: 0.00053663, TIME: 19904.9s
STEP [138600], EPOCH [84/100], ITER [322/1666] 
LOSS: 0.00067094, TIME: 19907.7s
STEP [138620], EPOCH [84/100], ITER [342/1666] 
LOSS: 0.00070092, TIME: 19910.6s
STEP [138640], EPOCH [84/100], ITER [362/1666] 
LOSS: 0.00055703, TIME: 19913.4s
STEP [138660], EPOCH [84/100], ITER [382/1666] 
LOSS: 0.00059015, TIME: 19916.3s
STEP [138680], EPOCH [84/100], ITER [402/1666] 
LOSS: 0.00032610, TIME: 19919.2s
STEP [138700], EPOCH [84/100], ITER [422/1666] 
LOSS: 0.00091458, TIME: 19922.0s
STEP [138720], EPOCH [84/100], ITER [442/1666] 
LOSS: 0.00041858, TIME: 19924.9s
STEP [138740], EPOCH [84/100], ITER [462/1666] 
LOSS: 0.00039631, TIME: 19927.7s
STEP [138760], EPOCH [84/100], ITER [482/1666] 
LOSS: 0.00046266, TIME: 19930.6s
STEP [138780], EPOCH [84/100], ITER [502/1666] 
LOSS: 0.00038528, TIME: 19933.4s
STEP [138800], EPOCH [84/100], ITER [522/1666] 
LOSS: 0.00039780, TIME: 19936.3s
STEP [138820], EPOCH [84/100], ITER [542/1666] 
LOSS: 0.00065097, TIME: 19939.1s
STEP [138840], EPOCH [84/100], ITER [562/1666] 
LOSS: 0.00065283, TIME: 19942.0s
STEP [138860], EPOCH [84/100], ITER [582/1666] 
LOSS: 0.00107058, TIME: 19944.8s
STEP [138880], EPOCH [84/100], ITER [602/1666] 
LOSS: 0.00045064, TIME: 19947.7s
STEP [138900], EPOCH [84/100], ITER [622/1666] 
LOSS: 0.00053042, TIME: 19950.6s
STEP [138920], EPOCH [84/100], ITER [642/1666] 
LOSS: 0.00028811, TIME: 19953.4s
STEP [138940], EPOCH [84/100], ITER [662/1666] 
LOSS: 0.00051008, TIME: 19956.3s
STEP [138960], EPOCH [84/100], ITER [682/1666] 
LOSS: 0.00069406, TIME: 19959.1s
STEP [138980], EPOCH [84/100], ITER [702/1666] 
LOSS: 0.00053878, TIME: 19962.0s
STEP [139000], EPOCH [84/100], ITER [722/1666] 
LOSS: 0.00041874, TIME: 19964.8s
STEP [139020], EPOCH [84/100], ITER [742/1666] 
LOSS: 0.00043850, TIME: 19967.8s
STEP [139040], EPOCH [84/100], ITER [762/1666] 
LOSS: 0.00060970, TIME: 19970.6s
STEP [139060], EPOCH [84/100], ITER [782/1666] 
LOSS: 0.00063465, TIME: 19973.5s
STEP [139080], EPOCH [84/100], ITER [802/1666] 
LOSS: 0.00041744, TIME: 19976.3s
STEP [139100], EPOCH [84/100], ITER [822/1666] 
LOSS: 0.00041732, TIME: 19979.2s
STEP [139120], EPOCH [84/100], ITER [842/1666] 
LOSS: 0.00042406, TIME: 19982.0s
STEP [139140], EPOCH [84/100], ITER [862/1666] 
LOSS: 0.00087693, TIME: 19984.9s
STEP [139160], EPOCH [84/100], ITER [882/1666] 
LOSS: 0.00053792, TIME: 19987.8s
STEP [139180], EPOCH [84/100], ITER [902/1666] 
LOSS: 0.00055780, TIME: 19990.6s
STEP [139200], EPOCH [84/100], ITER [922/1666] 
LOSS: 0.00051095, TIME: 19993.5s
STEP [139220], EPOCH [84/100], ITER [942/1666] 
LOSS: 0.00054417, TIME: 19996.3s
STEP [139240], EPOCH [84/100], ITER [962/1666] 
LOSS: 0.00051533, TIME: 19999.2s
STEP [139260], EPOCH [84/100], ITER [982/1666] 
LOSS: 0.00048938, TIME: 20002.0s
STEP [139280], EPOCH [84/100], ITER [1002/1666] 
LOSS: 0.00052658, TIME: 20004.9s
STEP [139300], EPOCH [84/100], ITER [1022/1666] 
LOSS: 0.00044836, TIME: 20007.7s
STEP [139320], EPOCH [84/100], ITER [1042/1666] 
LOSS: 0.00064835, TIME: 20010.6s
STEP [139340], EPOCH [84/100], ITER [1062/1666] 
LOSS: 0.00077092, TIME: 20013.4s
STEP [139360], EPOCH [84/100], ITER [1082/1666] 
LOSS: 0.00035208, TIME: 20016.3s
STEP [139380], EPOCH [84/100], ITER [1102/1666] 
LOSS: 0.00078621, TIME: 20019.1s
STEP [139400], EPOCH [84/100], ITER [1122/1666] 
LOSS: 0.00044250, TIME: 20022.0s
STEP [139420], EPOCH [84/100], ITER [1142/1666] 
LOSS: 0.00046361, TIME: 20024.9s
STEP [139440], EPOCH [84/100], ITER [1162/1666] 
LOSS: 0.00085281, TIME: 20027.7s
STEP [139460], EPOCH [84/100], ITER [1182/1666] 
LOSS: 0.00056226, TIME: 20030.6s
STEP [139480], EPOCH [84/100], ITER [1202/1666] 
LOSS: 0.00050693, TIME: 20033.4s
STEP [139500], EPOCH [84/100], ITER [1222/1666] 
LOSS: 0.00054338, TIME: 20036.3s
STEP [139520], EPOCH [84/100], ITER [1242/1666] 
LOSS: 0.00060295, TIME: 20039.1s
STEP [139540], EPOCH [84/100], ITER [1262/1666] 
LOSS: 0.00060671, TIME: 20042.0s
STEP [139560], EPOCH [84/100], ITER [1282/1666] 
LOSS: 0.00069625, TIME: 20044.8s
STEP [139580], EPOCH [84/100], ITER [1302/1666] 
LOSS: 0.00076731, TIME: 20047.7s
STEP [139600], EPOCH [84/100], ITER [1322/1666] 
LOSS: 0.00062441, TIME: 20050.5s
STEP [139620], EPOCH [84/100], ITER [1342/1666] 
LOSS: 0.00085006, TIME: 20053.4s
STEP [139640], EPOCH [84/100], ITER [1362/1666] 
LOSS: 0.00052766, TIME: 20056.2s
STEP [139660], EPOCH [84/100], ITER [1382/1666] 
LOSS: 0.00083547, TIME: 20059.1s
STEP [139680], EPOCH [84/100], ITER [1402/1666] 
LOSS: 0.00060962, TIME: 20062.0s
STEP [139700], EPOCH [84/100], ITER [1422/1666] 
LOSS: 0.00054168, TIME: 20064.8s
STEP [139720], EPOCH [84/100], ITER [1442/1666] 
LOSS: 0.00032966, TIME: 20067.7s
STEP [139740], EPOCH [84/100], ITER [1462/1666] 
LOSS: 0.00057506, TIME: 20070.5s
STEP [139760], EPOCH [84/100], ITER [1482/1666] 
LOSS: 0.00066612, TIME: 20073.4s
STEP [139780], EPOCH [84/100], ITER [1502/1666] 
LOSS: 0.00056316, TIME: 20076.2s
STEP [139800], EPOCH [84/100], ITER [1522/1666] 
LOSS: 0.00060154, TIME: 20079.1s
STEP [139820], EPOCH [84/100], ITER [1542/1666] 
LOSS: 0.00044905, TIME: 20081.9s
STEP [139840], EPOCH [84/100], ITER [1562/1666] 
LOSS: 0.00039532, TIME: 20084.8s
STEP [139860], EPOCH [84/100], ITER [1582/1666] 
LOSS: 0.00071745, TIME: 20087.7s
STEP [139880], EPOCH [84/100], ITER [1602/1666] 
LOSS: 0.00057454, TIME: 20090.5s
STEP [139900], EPOCH [84/100], ITER [1622/1666] 
LOSS: 0.00076184, TIME: 20093.4s
STEP [139920], EPOCH [84/100], ITER [1642/1666] 
LOSS: 0.00074244, TIME: 20096.2s
STEP [139940], EPOCH [84/100], ITER [1662/1666] 
LOSS: 0.00057970, TIME: 20099.1s
STEP [139960], EPOCH [85/100], ITER [16/1666] 
LOSS: 0.00059291, TIME: 20103.4s
STEP [139980], EPOCH [85/100], ITER [36/1666] 
LOSS: 0.00058113, TIME: 20106.3s
STEP [140000], EPOCH [85/100], ITER [56/1666] 
LOSS: 0.00038770, TIME: 20109.1s
STEP [140020], EPOCH [85/100], ITER [76/1666] 
LOSS: 0.00069890, TIME: 20112.0s
STEP [140040], EPOCH [85/100], ITER [96/1666] 
LOSS: 0.00053820, TIME: 20114.9s
STEP [140060], EPOCH [85/100], ITER [116/1666] 
LOSS: 0.00055240, TIME: 20117.7s
STEP [140080], EPOCH [85/100], ITER [136/1666] 
LOSS: 0.00062207, TIME: 20120.6s
STEP [140100], EPOCH [85/100], ITER [156/1666] 
LOSS: 0.00045932, TIME: 20123.4s
STEP [140120], EPOCH [85/100], ITER [176/1666] 
LOSS: 0.00038660, TIME: 20126.3s
STEP [140140], EPOCH [85/100], ITER [196/1666] 
LOSS: 0.00092557, TIME: 20129.1s
STEP [140160], EPOCH [85/100], ITER [216/1666] 
LOSS: 0.00078200, TIME: 20132.0s
STEP [140180], EPOCH [85/100], ITER [236/1666] 
LOSS: 0.00053569, TIME: 20134.8s
STEP [140200], EPOCH [85/100], ITER [256/1666] 
LOSS: 0.00062839, TIME: 20137.7s
STEP [140220], EPOCH [85/100], ITER [276/1666] 
LOSS: 0.00035647, TIME: 20140.6s
STEP [140240], EPOCH [85/100], ITER [296/1666] 
LOSS: 0.00060300, TIME: 20143.4s
STEP [140260], EPOCH [85/100], ITER [316/1666] 
LOSS: 0.00063850, TIME: 20146.3s
STEP [140280], EPOCH [85/100], ITER [336/1666] 
LOSS: 0.00062452, TIME: 20149.1s
STEP [140300], EPOCH [85/100], ITER [356/1666] 
LOSS: 0.00080026, TIME: 20152.0s
STEP [140320], EPOCH [85/100], ITER [376/1666] 
LOSS: 0.00047519, TIME: 20154.8s
STEP [140340], EPOCH [85/100], ITER [396/1666] 
LOSS: 0.00074525, TIME: 20157.7s
STEP [140360], EPOCH [85/100], ITER [416/1666] 
LOSS: 0.00049044, TIME: 20160.5s
STEP [140380], EPOCH [85/100], ITER [436/1666] 
LOSS: 0.00057488, TIME: 20163.4s
STEP [140400], EPOCH [85/100], ITER [456/1666] 
LOSS: 0.00049860, TIME: 20166.2s
STEP [140420], EPOCH [85/100], ITER [476/1666] 
LOSS: 0.00056117, TIME: 20169.1s
STEP [140440], EPOCH [85/100], ITER [496/1666] 
LOSS: 0.00054458, TIME: 20171.9s
STEP [140460], EPOCH [85/100], ITER [516/1666] 
LOSS: 0.00051813, TIME: 20174.8s
STEP [140480], EPOCH [85/100], ITER [536/1666] 
LOSS: 0.00047999, TIME: 20177.6s
STEP [140500], EPOCH [85/100], ITER [556/1666] 
LOSS: 0.00059329, TIME: 20180.5s
STEP [140520], EPOCH [85/100], ITER [576/1666] 
LOSS: 0.00061396, TIME: 20183.3s
STEP [140540], EPOCH [85/100], ITER [596/1666] 
LOSS: 0.00057544, TIME: 20186.2s
STEP [140560], EPOCH [85/100], ITER [616/1666] 
LOSS: 0.00038284, TIME: 20189.0s
STEP [140580], EPOCH [85/100], ITER [636/1666] 
LOSS: 0.00058951, TIME: 20191.9s
STEP [140600], EPOCH [85/100], ITER [656/1666] 
LOSS: 0.00047954, TIME: 20194.7s
STEP [140620], EPOCH [85/100], ITER [676/1666] 
LOSS: 0.00055540, TIME: 20197.6s
STEP [140640], EPOCH [85/100], ITER [696/1666] 
LOSS: 0.00047906, TIME: 20200.4s
STEP [140660], EPOCH [85/100], ITER [716/1666] 
LOSS: 0.00035962, TIME: 20203.3s
STEP [140680], EPOCH [85/100], ITER [736/1666] 
LOSS: 0.00121737, TIME: 20206.1s
STEP [140700], EPOCH [85/100], ITER [756/1666] 
LOSS: 0.00060286, TIME: 20209.0s
STEP [140720], EPOCH [85/100], ITER [776/1666] 
LOSS: 0.00045361, TIME: 20211.8s
STEP [140740], EPOCH [85/100], ITER [796/1666] 
LOSS: 0.00048902, TIME: 20214.7s
STEP [140760], EPOCH [85/100], ITER [816/1666] 
LOSS: 0.00038236, TIME: 20217.5s
STEP [140780], EPOCH [85/100], ITER [836/1666] 
LOSS: 0.00058323, TIME: 20220.4s
STEP [140800], EPOCH [85/100], ITER [856/1666] 
LOSS: 0.00068169, TIME: 20223.2s
STEP [140820], EPOCH [85/100], ITER [876/1666] 
LOSS: 0.00067106, TIME: 20226.1s
STEP [140840], EPOCH [85/100], ITER [896/1666] 
LOSS: 0.00087334, TIME: 20228.9s
STEP [140860], EPOCH [85/100], ITER [916/1666] 
LOSS: 0.00064702, TIME: 20231.8s
STEP [140880], EPOCH [85/100], ITER [936/1666] 
LOSS: 0.00096125, TIME: 20234.6s
STEP [140900], EPOCH [85/100], ITER [956/1666] 
LOSS: 0.00061409, TIME: 20237.5s
STEP [140920], EPOCH [85/100], ITER [976/1666] 
LOSS: 0.00085741, TIME: 20240.3s
STEP [140940], EPOCH [85/100], ITER [996/1666] 
LOSS: 0.00044516, TIME: 20243.2s
STEP [140960], EPOCH [85/100], ITER [1016/1666] 
LOSS: 0.00089674, TIME: 20246.1s
STEP [140980], EPOCH [85/100], ITER [1036/1666] 
LOSS: 0.00039739, TIME: 20248.9s
STEP [141000], EPOCH [85/100], ITER [1056/1666] 
LOSS: 0.00053568, TIME: 20251.8s
STEP [141020], EPOCH [85/100], ITER [1076/1666] 
LOSS: 0.00076181, TIME: 20254.7s
STEP [141040], EPOCH [85/100], ITER [1096/1666] 
LOSS: 0.00058942, TIME: 20257.5s
STEP [141060], EPOCH [85/100], ITER [1116/1666] 
LOSS: 0.00046296, TIME: 20260.4s
STEP [141080], EPOCH [85/100], ITER [1136/1666] 
LOSS: 0.00034073, TIME: 20263.2s
STEP [141100], EPOCH [85/100], ITER [1156/1666] 
LOSS: 0.00065979, TIME: 20266.1s
STEP [141120], EPOCH [85/100], ITER [1176/1666] 
LOSS: 0.00065863, TIME: 20269.0s
STEP [141140], EPOCH [85/100], ITER [1196/1666] 
LOSS: 0.00135050, TIME: 20271.8s
STEP [141160], EPOCH [85/100], ITER [1216/1666] 
LOSS: 0.00075887, TIME: 20274.7s
STEP [141180], EPOCH [85/100], ITER [1236/1666] 
LOSS: 0.00035760, TIME: 20277.5s
STEP [141200], EPOCH [85/100], ITER [1256/1666] 
LOSS: 0.00034201, TIME: 20280.4s
STEP [141220], EPOCH [85/100], ITER [1276/1666] 
LOSS: 0.00062977, TIME: 20283.2s
STEP [141240], EPOCH [85/100], ITER [1296/1666] 
LOSS: 0.00056678, TIME: 20286.1s
STEP [141260], EPOCH [85/100], ITER [1316/1666] 
LOSS: 0.00049258, TIME: 20288.9s
STEP [141280], EPOCH [85/100], ITER [1336/1666] 
LOSS: 0.00053303, TIME: 20291.8s
STEP [141300], EPOCH [85/100], ITER [1356/1666] 
LOSS: 0.00051500, TIME: 20294.6s
STEP [141320], EPOCH [85/100], ITER [1376/1666] 
LOSS: 0.00056564, TIME: 20297.5s
STEP [141340], EPOCH [85/100], ITER [1396/1666] 
LOSS: 0.00048689, TIME: 20300.3s
STEP [141360], EPOCH [85/100], ITER [1416/1666] 
LOSS: 0.00045161, TIME: 20303.2s
STEP [141380], EPOCH [85/100], ITER [1436/1666] 
LOSS: 0.00059890, TIME: 20306.0s
STEP [141400], EPOCH [85/100], ITER [1456/1666] 
LOSS: 0.00065057, TIME: 20308.9s
STEP [141420], EPOCH [85/100], ITER [1476/1666] 
LOSS: 0.00034437, TIME: 20311.7s
STEP [141440], EPOCH [85/100], ITER [1496/1666] 
LOSS: 0.00049857, TIME: 20314.6s
STEP [141460], EPOCH [85/100], ITER [1516/1666] 
LOSS: 0.00055554, TIME: 20317.4s
STEP [141480], EPOCH [85/100], ITER [1536/1666] 
LOSS: 0.00053739, TIME: 20320.3s
STEP [141500], EPOCH [85/100], ITER [1556/1666] 
LOSS: 0.00060551, TIME: 20323.1s
STEP [141520], EPOCH [85/100], ITER [1576/1666] 
LOSS: 0.00044903, TIME: 20326.0s
STEP [141540], EPOCH [85/100], ITER [1596/1666] 
LOSS: 0.00054154, TIME: 20328.8s
STEP [141560], EPOCH [85/100], ITER [1616/1666] 
LOSS: 0.00058724, TIME: 20331.7s
STEP [141580], EPOCH [85/100], ITER [1636/1666] 
LOSS: 0.00089843, TIME: 20334.5s
STEP [141600], EPOCH [85/100], ITER [1656/1666] 
LOSS: 0.00053282, TIME: 20337.4s
STEP [141620], EPOCH [86/100], ITER [10/1666] 
LOSS: 0.00078093, TIME: 20341.7s
STEP [141640], EPOCH [86/100], ITER [30/1666] 
LOSS: 0.00060920, TIME: 20344.6s
STEP [141660], EPOCH [86/100], ITER [50/1666] 
LOSS: 0.00073538, TIME: 20347.4s
STEP [141680], EPOCH [86/100], ITER [70/1666] 
LOSS: 0.00047385, TIME: 20350.3s
STEP [141700], EPOCH [86/100], ITER [90/1666] 
LOSS: 0.00041115, TIME: 20353.1s
STEP [141720], EPOCH [86/100], ITER [110/1666] 
LOSS: 0.00033309, TIME: 20356.0s
STEP [141740], EPOCH [86/100], ITER [130/1666] 
LOSS: 0.00041359, TIME: 20358.8s
STEP [141760], EPOCH [86/100], ITER [150/1666] 
LOSS: 0.00020543, TIME: 20361.7s
STEP [141780], EPOCH [86/100], ITER [170/1666] 
LOSS: 0.00048988, TIME: 20364.5s
STEP [141800], EPOCH [86/100], ITER [190/1666] 
LOSS: 0.00050101, TIME: 20367.4s
STEP [141820], EPOCH [86/100], ITER [210/1666] 
LOSS: 0.00023443, TIME: 20370.2s
STEP [141840], EPOCH [86/100], ITER [230/1666] 
LOSS: 0.00053045, TIME: 20373.1s
STEP [141860], EPOCH [86/100], ITER [250/1666] 
LOSS: 0.00041764, TIME: 20375.9s
STEP [141880], EPOCH [86/100], ITER [270/1666] 
LOSS: 0.00066845, TIME: 20378.8s
STEP [141900], EPOCH [86/100], ITER [290/1666] 
LOSS: 0.00053536, TIME: 20381.6s
STEP [141920], EPOCH [86/100], ITER [310/1666] 
LOSS: 0.00048816, TIME: 20384.5s
STEP [141940], EPOCH [86/100], ITER [330/1666] 
LOSS: 0.00055076, TIME: 20387.3s
STEP [141960], EPOCH [86/100], ITER [350/1666] 
LOSS: 0.00051331, TIME: 20390.2s
STEP [141980], EPOCH [86/100], ITER [370/1666] 
LOSS: 0.00065232, TIME: 20393.0s
STEP [142000], EPOCH [86/100], ITER [390/1666] 
LOSS: 0.00061172, TIME: 20395.9s
STEP [142020], EPOCH [86/100], ITER [410/1666] 
LOSS: 0.00038452, TIME: 20398.8s
STEP [142040], EPOCH [86/100], ITER [430/1666] 
LOSS: 0.00085306, TIME: 20401.7s
STEP [142060], EPOCH [86/100], ITER [450/1666] 
LOSS: 0.00046384, TIME: 20404.5s
STEP [142080], EPOCH [86/100], ITER [470/1666] 
LOSS: 0.00045954, TIME: 20407.4s
STEP [142100], EPOCH [86/100], ITER [490/1666] 
LOSS: 0.00072584, TIME: 20410.2s
STEP [142120], EPOCH [86/100], ITER [510/1666] 
LOSS: 0.00046343, TIME: 20413.1s
STEP [142140], EPOCH [86/100], ITER [530/1666] 
LOSS: 0.00039148, TIME: 20415.9s
STEP [142160], EPOCH [86/100], ITER [550/1666] 
LOSS: 0.00069942, TIME: 20418.8s
STEP [142180], EPOCH [86/100], ITER [570/1666] 
LOSS: 0.00070817, TIME: 20421.6s
STEP [142200], EPOCH [86/100], ITER [590/1666] 
LOSS: 0.00060822, TIME: 20424.5s
STEP [142220], EPOCH [86/100], ITER [610/1666] 
LOSS: 0.00064484, TIME: 20427.3s
STEP [142240], EPOCH [86/100], ITER [630/1666] 
LOSS: 0.00046000, TIME: 20430.2s
STEP [142260], EPOCH [86/100], ITER [650/1666] 
LOSS: 0.00043773, TIME: 20433.0s
STEP [142280], EPOCH [86/100], ITER [670/1666] 
LOSS: 0.00096447, TIME: 20435.9s
STEP [142300], EPOCH [86/100], ITER [690/1666] 
LOSS: 0.00060934, TIME: 20438.8s
STEP [142320], EPOCH [86/100], ITER [710/1666] 
LOSS: 0.00060087, TIME: 20441.6s
STEP [142340], EPOCH [86/100], ITER [730/1666] 
LOSS: 0.00049292, TIME: 20444.5s
STEP [142360], EPOCH [86/100], ITER [750/1666] 
LOSS: 0.00067449, TIME: 20447.3s
STEP [142380], EPOCH [86/100], ITER [770/1666] 
LOSS: 0.00045593, TIME: 20450.2s
STEP [142400], EPOCH [86/100], ITER [790/1666] 
LOSS: 0.00052326, TIME: 20453.0s
STEP [142420], EPOCH [86/100], ITER [810/1666] 
LOSS: 0.00057434, TIME: 20455.9s
STEP [142440], EPOCH [86/100], ITER [830/1666] 
LOSS: 0.00075732, TIME: 20458.7s
STEP [142460], EPOCH [86/100], ITER [850/1666] 
LOSS: 0.00066846, TIME: 20461.6s
STEP [142480], EPOCH [86/100], ITER [870/1666] 
LOSS: 0.00067167, TIME: 20464.4s
STEP [142500], EPOCH [86/100], ITER [890/1666] 
LOSS: 0.00039125, TIME: 20467.3s
STEP [142520], EPOCH [86/100], ITER [910/1666] 
LOSS: 0.00037375, TIME: 20470.1s
STEP [142540], EPOCH [86/100], ITER [930/1666] 
LOSS: 0.00069168, TIME: 20473.0s
STEP [142560], EPOCH [86/100], ITER [950/1666] 
LOSS: 0.00064965, TIME: 20475.8s
STEP [142580], EPOCH [86/100], ITER [970/1666] 
LOSS: 0.00052719, TIME: 20478.7s
STEP [142600], EPOCH [86/100], ITER [990/1666] 
LOSS: 0.00048741, TIME: 20481.5s
STEP [142620], EPOCH [86/100], ITER [1010/1666] 
LOSS: 0.00061771, TIME: 20484.4s
STEP [142640], EPOCH [86/100], ITER [1030/1666] 
LOSS: 0.00042711, TIME: 20487.2s
STEP [142660], EPOCH [86/100], ITER [1050/1666] 
LOSS: 0.00055128, TIME: 20490.1s
STEP [142680], EPOCH [86/100], ITER [1070/1666] 
LOSS: 0.00077100, TIME: 20493.0s
STEP [142700], EPOCH [86/100], ITER [1090/1666] 
LOSS: 0.00050393, TIME: 20495.8s
STEP [142720], EPOCH [86/100], ITER [1110/1666] 
LOSS: 0.00070615, TIME: 20498.7s
STEP [142740], EPOCH [86/100], ITER [1130/1666] 
LOSS: 0.00058166, TIME: 20501.5s
STEP [142760], EPOCH [86/100], ITER [1150/1666] 
LOSS: 0.00039404, TIME: 20504.4s
STEP [142780], EPOCH [86/100], ITER [1170/1666] 
LOSS: 0.00052380, TIME: 20507.2s
STEP [142800], EPOCH [86/100], ITER [1190/1666] 
LOSS: 0.00054537, TIME: 20510.1s
STEP [142820], EPOCH [86/100], ITER [1210/1666] 
LOSS: 0.00057692, TIME: 20512.9s
STEP [142840], EPOCH [86/100], ITER [1230/1666] 
LOSS: 0.00060987, TIME: 20515.8s
STEP [142860], EPOCH [86/100], ITER [1250/1666] 
LOSS: 0.00073865, TIME: 20518.6s
STEP [142880], EPOCH [86/100], ITER [1270/1666] 
LOSS: 0.00045171, TIME: 20521.5s
STEP [142900], EPOCH [86/100], ITER [1290/1666] 
LOSS: 0.00043039, TIME: 20524.4s
STEP [142920], EPOCH [86/100], ITER [1310/1666] 
LOSS: 0.00072170, TIME: 20527.2s
STEP [142940], EPOCH [86/100], ITER [1330/1666] 
LOSS: 0.00032359, TIME: 20530.1s
STEP [142960], EPOCH [86/100], ITER [1350/1666] 
LOSS: 0.00069094, TIME: 20532.9s
STEP [142980], EPOCH [86/100], ITER [1370/1666] 
LOSS: 0.00049495, TIME: 20535.8s
STEP [143000], EPOCH [86/100], ITER [1390/1666] 
LOSS: 0.00036997, TIME: 20538.6s
STEP [143020], EPOCH [86/100], ITER [1410/1666] 
LOSS: 0.00027935, TIME: 20541.6s
STEP [143040], EPOCH [86/100], ITER [1430/1666] 
LOSS: 0.00039821, TIME: 20544.4s
STEP [143060], EPOCH [86/100], ITER [1450/1666] 
LOSS: 0.00051148, TIME: 20547.3s
STEP [143080], EPOCH [86/100], ITER [1470/1666] 
LOSS: 0.00031180, TIME: 20550.1s
STEP [143100], EPOCH [86/100], ITER [1490/1666] 
LOSS: 0.00039254, TIME: 20553.0s
STEP [143120], EPOCH [86/100], ITER [1510/1666] 
LOSS: 0.00045274, TIME: 20555.8s
STEP [143140], EPOCH [86/100], ITER [1530/1666] 
LOSS: 0.00052109, TIME: 20558.7s
STEP [143160], EPOCH [86/100], ITER [1550/1666] 
LOSS: 0.00034530, TIME: 20561.5s
STEP [143180], EPOCH [86/100], ITER [1570/1666] 
LOSS: 0.00063137, TIME: 20564.4s
STEP [143200], EPOCH [86/100], ITER [1590/1666] 
LOSS: 0.00056363, TIME: 20567.2s
STEP [143220], EPOCH [86/100], ITER [1610/1666] 
LOSS: 0.00146636, TIME: 20570.1s
STEP [143240], EPOCH [86/100], ITER [1630/1666] 
LOSS: 0.00039821, TIME: 20572.9s
STEP [143260], EPOCH [86/100], ITER [1650/1666] 
LOSS: 0.00046347, TIME: 20575.8s
STEP [143280], EPOCH [87/100], ITER [4/1666] 
LOSS: 0.00035566, TIME: 20580.0s
STEP [143300], EPOCH [87/100], ITER [24/1666] 
LOSS: 0.00041894, TIME: 20582.9s
STEP [143320], EPOCH [87/100], ITER [44/1666] 
LOSS: 0.00078750, TIME: 20585.7s
STEP [143340], EPOCH [87/100], ITER [64/1666] 
LOSS: 0.00060898, TIME: 20588.6s
STEP [143360], EPOCH [87/100], ITER [84/1666] 
LOSS: 0.00070822, TIME: 20591.4s
STEP [143380], EPOCH [87/100], ITER [104/1666] 
LOSS: 0.00049187, TIME: 20594.3s
STEP [143400], EPOCH [87/100], ITER [124/1666] 
LOSS: 0.00056702, TIME: 20597.1s
STEP [143420], EPOCH [87/100], ITER [144/1666] 
LOSS: 0.00064793, TIME: 20600.0s
STEP [143440], EPOCH [87/100], ITER [164/1666] 
LOSS: 0.00037581, TIME: 20602.8s
STEP [143460], EPOCH [87/100], ITER [184/1666] 
LOSS: 0.00064811, TIME: 20605.7s
STEP [143480], EPOCH [87/100], ITER [204/1666] 
LOSS: 0.00063726, TIME: 20608.6s
STEP [143500], EPOCH [87/100], ITER [224/1666] 
LOSS: 0.00061727, TIME: 20611.4s
STEP [143520], EPOCH [87/100], ITER [244/1666] 
LOSS: 0.00066598, TIME: 20614.3s
STEP [143540], EPOCH [87/100], ITER [264/1666] 
LOSS: 0.00044083, TIME: 20617.1s
STEP [143560], EPOCH [87/100], ITER [284/1666] 
LOSS: 0.00056755, TIME: 20620.0s
STEP [143580], EPOCH [87/100], ITER [304/1666] 
LOSS: 0.00053687, TIME: 20622.8s
STEP [143600], EPOCH [87/100], ITER [324/1666] 
LOSS: 0.00053318, TIME: 20625.7s
STEP [143620], EPOCH [87/100], ITER [344/1666] 
LOSS: 0.00035663, TIME: 20628.5s
STEP [143640], EPOCH [87/100], ITER [364/1666] 
LOSS: 0.00047120, TIME: 20631.4s
STEP [143660], EPOCH [87/100], ITER [384/1666] 
LOSS: 0.00044530, TIME: 20634.2s
STEP [143680], EPOCH [87/100], ITER [404/1666] 
LOSS: 0.00059276, TIME: 20637.1s
STEP [143700], EPOCH [87/100], ITER [424/1666] 
LOSS: 0.00046398, TIME: 20639.9s
STEP [143720], EPOCH [87/100], ITER [444/1666] 
LOSS: 0.00052035, TIME: 20642.8s
STEP [143740], EPOCH [87/100], ITER [464/1666] 
LOSS: 0.00061066, TIME: 20645.6s
STEP [143760], EPOCH [87/100], ITER [484/1666] 
LOSS: 0.00055873, TIME: 20648.5s
STEP [143780], EPOCH [87/100], ITER [504/1666] 
LOSS: 0.00060711, TIME: 20651.3s
STEP [143800], EPOCH [87/100], ITER [524/1666] 
LOSS: 0.00056231, TIME: 20654.2s
STEP [143820], EPOCH [87/100], ITER [544/1666] 
LOSS: 0.00053154, TIME: 20657.0s
STEP [143840], EPOCH [87/100], ITER [564/1666] 
LOSS: 0.00034524, TIME: 20659.9s
STEP [143860], EPOCH [87/100], ITER [584/1666] 
LOSS: 0.00060809, TIME: 20662.8s
STEP [143880], EPOCH [87/100], ITER [604/1666] 
LOSS: 0.00065745, TIME: 20665.6s
STEP [143900], EPOCH [87/100], ITER [624/1666] 
LOSS: 0.00077757, TIME: 20668.5s
STEP [143920], EPOCH [87/100], ITER [644/1666] 
LOSS: 0.00108053, TIME: 20671.3s
STEP [143940], EPOCH [87/100], ITER [664/1666] 
LOSS: 0.00068947, TIME: 20674.2s
STEP [143960], EPOCH [87/100], ITER [684/1666] 
LOSS: 0.00053708, TIME: 20677.0s
STEP [143980], EPOCH [87/100], ITER [704/1666] 
LOSS: 0.00045186, TIME: 20679.9s
STEP [144000], EPOCH [87/100], ITER [724/1666] 
LOSS: 0.00046857, TIME: 20682.7s
