Create path : ./save_120/fig
/sharedata/datasets/CTMRI/CT1mm/train_120 /sharedata/datasets/CTMRI/CT1mm/train
Loading Data. totol count: 26648
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LOSS: 0.00086460, TIME: 740.6s
STEP [3960], EPOCH [3/100], ITER [628/1666] 
LOSS: 0.00077856, TIME: 744.2s
STEP [3980], EPOCH [3/100], ITER [648/1666] 
LOSS: 0.00136406, TIME: 747.8s
STEP [4000], EPOCH [3/100], ITER [668/1666] 
LOSS: 0.00113999, TIME: 751.4s
STEP [4020], EPOCH [3/100], ITER [688/1666] 
LOSS: 0.00101464, TIME: 755.0s
STEP [4040], EPOCH [3/100], ITER [708/1666] 
LOSS: 0.00124881, TIME: 758.5s
STEP [4060], EPOCH [3/100], ITER [728/1666] 
LOSS: 0.00138797, TIME: 762.1s
STEP [4080], EPOCH [3/100], ITER [748/1666] 
LOSS: 0.00166393, TIME: 765.7s
STEP [4100], EPOCH [3/100], ITER [768/1666] 
LOSS: 0.00135120, TIME: 769.3s
STEP [4120], EPOCH [3/100], ITER [788/1666] 
LOSS: 0.00061273, TIME: 772.8s
STEP [4140], EPOCH [3/100], ITER [808/1666] 
LOSS: 0.00084855, TIME: 776.4s
STEP [4160], EPOCH [3/100], ITER [828/1666] 
LOSS: 0.00130957, TIME: 780.0s
STEP [4180], EPOCH [3/100], ITER [848/1666] 
LOSS: 0.00137942, TIME: 783.6s
STEP [4200], EPOCH [3/100], ITER [868/1666] 
LOSS: 0.00102236, TIME: 787.1s
STEP [4220], EPOCH [3/100], ITER [888/1666] 
LOSS: 0.00080522, TIME: 790.7s
STEP [4240], EPOCH [3/100], ITER [908/1666] 
LOSS: 0.00114668, TIME: 794.3s
STEP [4260], EPOCH [3/100], ITER [928/1666] 
LOSS: 0.00135123, TIME: 797.9s
STEP [4280], EPOCH [3/100], ITER [948/1666] 
LOSS: 0.00082505, TIME: 801.4s
STEP [4300], EPOCH [3/100], ITER [968/1666] 
LOSS: 0.00086336, TIME: 805.0s
STEP [4320], EPOCH [3/100], ITER [988/1666] 
LOSS: 0.00071175, TIME: 808.6s
STEP [4340], EPOCH [3/100], ITER [1008/1666] 
LOSS: 0.00057910, TIME: 812.2s
STEP [4360], EPOCH [3/100], ITER [1028/1666] 
LOSS: 0.00070437, TIME: 815.7s
STEP [4380], EPOCH [3/100], ITER [1048/1666] 
LOSS: 0.00078807, TIME: 819.3s
STEP [4400], EPOCH [3/100], ITER [1068/1666] 
LOSS: 0.00117013, TIME: 822.9s
STEP [4420], EPOCH [3/100], ITER [1088/1666] 
LOSS: 0.00108741, TIME: 826.5s
STEP [4440], EPOCH [3/100], ITER [1108/1666] 
LOSS: 0.00139429, TIME: 830.0s
STEP [4460], EPOCH [3/100], ITER [1128/1666] 
LOSS: 0.00056063, TIME: 833.6s
STEP [4480], EPOCH [3/100], ITER [1148/1666] 
LOSS: 0.00113052, TIME: 837.2s
STEP [4500], EPOCH [3/100], ITER [1168/1666] 
LOSS: 0.00082743, TIME: 840.8s
STEP [4520], EPOCH [3/100], ITER [1188/1666] 
LOSS: 0.00125963, TIME: 844.3s
STEP [4540], EPOCH [3/100], ITER [1208/1666] 
LOSS: 0.00139574, TIME: 847.9s
STEP [4560], EPOCH [3/100], ITER [1228/1666] 
LOSS: 0.00155677, TIME: 851.5s
STEP [4580], EPOCH [3/100], ITER [1248/1666] 
LOSS: 0.00096131, TIME: 855.1s
STEP [4600], EPOCH [3/100], ITER [1268/1666] 
LOSS: 0.00093139, TIME: 858.6s
STEP [4620], EPOCH [3/100], ITER [1288/1666] 
LOSS: 0.00134422, TIME: 862.2s
STEP [4640], EPOCH [3/100], ITER [1308/1666] 
LOSS: 0.00119860, TIME: 865.8s
STEP [4660], EPOCH [3/100], ITER [1328/1666] 
LOSS: 0.00103138, TIME: 869.4s
STEP [4680], EPOCH [3/100], ITER [1348/1666] 
LOSS: 0.00096177, TIME: 873.0s
STEP [4700], EPOCH [3/100], ITER [1368/1666] 
LOSS: 0.00122592, TIME: 876.6s
STEP [4720], EPOCH [3/100], ITER [1388/1666] 
LOSS: 0.00093862, TIME: 880.1s
STEP [4740], EPOCH [3/100], ITER [1408/1666] 
LOSS: 0.00150018, TIME: 883.7s
STEP [4760], EPOCH [3/100], ITER [1428/1666] 
LOSS: 0.00094569, TIME: 887.3s
STEP [4780], EPOCH [3/100], ITER [1448/1666] 
LOSS: 0.00132062, TIME: 890.9s
STEP [4800], EPOCH [3/100], ITER [1468/1666] 
LOSS: 0.00121805, TIME: 894.4s
STEP [4820], EPOCH [3/100], ITER [1488/1666] 
LOSS: 0.00111950, TIME: 898.0s
STEP [4840], EPOCH [3/100], ITER [1508/1666] 
LOSS: 0.00082111, TIME: 901.6s
STEP [4860], EPOCH [3/100], ITER [1528/1666] 
LOSS: 0.00123873, TIME: 905.2s
STEP [4880], EPOCH [3/100], ITER [1548/1666] 
LOSS: 0.00120444, TIME: 908.7s
STEP [4900], EPOCH [3/100], ITER [1568/1666] 
LOSS: 0.00084947, TIME: 912.3s
STEP [4920], EPOCH [3/100], ITER [1588/1666] 
LOSS: 0.00103496, TIME: 915.9s
STEP [4940], EPOCH [3/100], ITER [1608/1666] 
LOSS: 0.00106655, TIME: 919.5s
STEP [4960], EPOCH [3/100], ITER [1628/1666] 
LOSS: 0.00172682, TIME: 923.1s
STEP [4980], EPOCH [3/100], ITER [1648/1666] 
LOSS: 0.00093192, TIME: 926.6s
STEP [5000], EPOCH [4/100], ITER [2/1666] 
LOSS: 0.00137533, TIME: 938.7s
STEP [5020], EPOCH [4/100], ITER [22/1666] 
LOSS: 0.00095529, TIME: 942.2s
STEP [5040], EPOCH [4/100], ITER [42/1666] 
LOSS: 0.00144784, TIME: 945.8s
STEP [5060], EPOCH [4/100], ITER [62/1666] 
LOSS: 0.00116456, TIME: 949.3s
STEP [5080], EPOCH [4/100], ITER [82/1666] 
LOSS: 0.00068722, TIME: 952.9s
STEP [5100], EPOCH [4/100], ITER [102/1666] 
LOSS: 0.00098986, TIME: 956.4s
STEP [5120], EPOCH [4/100], ITER [122/1666] 
LOSS: 0.00086639, TIME: 960.0s
STEP [5140], EPOCH [4/100], ITER [142/1666] 
LOSS: 0.00130441, TIME: 963.6s
STEP [5160], EPOCH [4/100], ITER [162/1666] 
LOSS: 0.00068816, TIME: 967.1s
STEP [5180], EPOCH [4/100], ITER [182/1666] 
LOSS: 0.00149084, TIME: 970.7s
STEP [5200], EPOCH [4/100], ITER [202/1666] 
LOSS: 0.00065447, TIME: 974.3s
STEP [5220], EPOCH [4/100], ITER [222/1666] 
LOSS: 0.00150657, TIME: 977.8s
STEP [5240], EPOCH [4/100], ITER [242/1666] 
LOSS: 0.00114580, TIME: 981.4s
STEP [5260], EPOCH [4/100], ITER [262/1666] 
LOSS: 0.00118080, TIME: 985.0s
STEP [5280], EPOCH [4/100], ITER [282/1666] 
LOSS: 0.00154096, TIME: 988.6s
STEP [5300], EPOCH [4/100], ITER [302/1666] 
LOSS: 0.00109376, TIME: 992.1s
STEP [5320], EPOCH [4/100], ITER [322/1666] 
LOSS: 0.00126563, TIME: 995.7s
STEP [5340], EPOCH [4/100], ITER [342/1666] 
LOSS: 0.00081065, TIME: 999.3s
STEP [5360], EPOCH [4/100], ITER [362/1666] 
LOSS: 0.00109755, TIME: 1002.9s
STEP [5380], EPOCH [4/100], ITER [382/1666] 
LOSS: 0.00122741, TIME: 1006.4s
STEP [5400], EPOCH [4/100], ITER [402/1666] 
LOSS: 0.00135123, TIME: 1010.0s
STEP [5420], EPOCH [4/100], ITER [422/1666] 
LOSS: 0.00123887, TIME: 1013.6s
STEP [5440], EPOCH [4/100], ITER [442/1666] 
LOSS: 0.00150639, TIME: 1017.2s
STEP [5460], EPOCH [4/100], ITER [462/1666] 
LOSS: 0.00106951, TIME: 1020.7s
STEP [5480], EPOCH [4/100], ITER [482/1666] 
LOSS: 0.00137427, TIME: 1024.3s
STEP [5500], EPOCH [4/100], ITER [502/1666] 
LOSS: 0.00111329, TIME: 1027.9s
STEP [5520], EPOCH [4/100], ITER [522/1666] 
LOSS: 0.00112832, TIME: 1031.5s
STEP [5540], EPOCH [4/100], ITER [542/1666] 
LOSS: 0.00107783, TIME: 1035.0s
STEP [5560], EPOCH [4/100], ITER [562/1666] 
LOSS: 0.00144143, TIME: 1038.6s
STEP [5580], EPOCH [4/100], ITER [582/1666] 
LOSS: 0.00085884, TIME: 1042.2s
STEP [5600], EPOCH [4/100], ITER [602/1666] 
LOSS: 0.00114840, TIME: 1045.7s
STEP [5620], EPOCH [4/100], ITER [622/1666] 
LOSS: 0.00092140, TIME: 1049.3s
STEP [5640], EPOCH [4/100], ITER [642/1666] 
LOSS: 0.00097283, TIME: 1052.9s
STEP [5660], EPOCH [4/100], ITER [662/1666] 
LOSS: 0.00170905, TIME: 1056.5s
STEP [5680], EPOCH [4/100], ITER [682/1666] 
LOSS: 0.00124845, TIME: 1060.1s
STEP [5700], EPOCH [4/100], ITER [702/1666] 
LOSS: 0.00147396, TIME: 1063.6s
STEP [5720], EPOCH [4/100], ITER [722/1666] 
LOSS: 0.00110057, TIME: 1067.2s
STEP [5740], EPOCH [4/100], ITER [742/1666] 
LOSS: 0.00108636, TIME: 1070.8s
STEP [5760], EPOCH [4/100], ITER [762/1666] 
LOSS: 0.00093246, TIME: 1074.4s
STEP [5780], EPOCH [4/100], ITER [782/1666] 
LOSS: 0.00054628, TIME: 1077.9s
STEP [5800], EPOCH [4/100], ITER [802/1666] 
LOSS: 0.00148791, TIME: 1081.5s
STEP [5820], EPOCH [4/100], ITER [822/1666] 
LOSS: 0.00127393, TIME: 1085.1s
STEP [5840], EPOCH [4/100], ITER [842/1666] 
LOSS: 0.00099500, TIME: 1088.7s
STEP [5860], EPOCH [4/100], ITER [862/1666] 
LOSS: 0.00125325, TIME: 1092.3s
STEP [5880], EPOCH [4/100], ITER [882/1666] 
LOSS: 0.00123878, TIME: 1095.8s
STEP [5900], EPOCH [4/100], ITER [902/1666] 
LOSS: 0.00083093, TIME: 1099.4s
STEP [5920], EPOCH [4/100], ITER [922/1666] 
LOSS: 0.00078562, TIME: 1103.0s
STEP [5940], EPOCH [4/100], ITER [942/1666] 
LOSS: 0.00151852, TIME: 1106.6s
STEP [5960], EPOCH [4/100], ITER [962/1666] 
LOSS: 0.00098259, TIME: 1110.2s
STEP [5980], EPOCH [4/100], ITER [982/1666] 
LOSS: 0.00097283, TIME: 1113.7s
STEP [6000], EPOCH [4/100], ITER [1002/1666] 
LOSS: 0.00114450, TIME: 1117.3s
STEP [6020], EPOCH [4/100], ITER [1022/1666] 
LOSS: 0.00092657, TIME: 1120.9s
STEP [6040], EPOCH [4/100], ITER [1042/1666] 
LOSS: 0.00102801, TIME: 1124.5s
STEP [6060], EPOCH [4/100], ITER [1062/1666] 
LOSS: 0.00086166, TIME: 1128.1s
STEP [6080], EPOCH [4/100], ITER [1082/1666] 
LOSS: 0.00096703, TIME: 1131.7s
STEP [6100], EPOCH [4/100], ITER [1102/1666] 
LOSS: 0.00123748, TIME: 1135.2s
STEP [6120], EPOCH [4/100], ITER [1122/1666] 
LOSS: 0.00090093, TIME: 1138.8s
STEP [6140], EPOCH [4/100], ITER [1142/1666] 
LOSS: 0.00081376, TIME: 1142.4s
STEP [6160], EPOCH [4/100], ITER [1162/1666] 
LOSS: 0.00113978, TIME: 1146.0s
STEP [6180], EPOCH [4/100], ITER [1182/1666] 
LOSS: 0.00117318, TIME: 1149.6s
STEP [6200], EPOCH [4/100], ITER [1202/1666] 
LOSS: 0.00153105, TIME: 1153.1s
STEP [6220], EPOCH [4/100], ITER [1222/1666] 
LOSS: 0.00102827, TIME: 1156.7s
STEP [6240], EPOCH [4/100], ITER [1242/1666] 
LOSS: 0.00114951, TIME: 1160.3s
STEP [6260], EPOCH [4/100], ITER [1262/1666] 
LOSS: 0.00094988, TIME: 1163.9s
STEP [6280], EPOCH [4/100], ITER [1282/1666] 
LOSS: 0.00122125, TIME: 1167.4s
STEP [6300], EPOCH [4/100], ITER [1302/1666] 
LOSS: 0.00084862, TIME: 1171.0s
STEP [6320], EPOCH [4/100], ITER [1322/1666] 
LOSS: 0.00103535, TIME: 1174.6s
STEP [6340], EPOCH [4/100], ITER [1342/1666] 
LOSS: 0.00090109, TIME: 1178.2s
STEP [6360], EPOCH [4/100], ITER [1362/1666] 
LOSS: 0.00081844, TIME: 1181.8s
STEP [6380], EPOCH [4/100], ITER [1382/1666] 
LOSS: 0.00115142, TIME: 1185.3s
STEP [6400], EPOCH [4/100], ITER [1402/1666] 
LOSS: 0.00083510, TIME: 1188.9s
STEP [6420], EPOCH [4/100], ITER [1422/1666] 
LOSS: 0.00116797, TIME: 1192.5s
STEP [6440], EPOCH [4/100], ITER [1442/1666] 
LOSS: 0.00079402, TIME: 1196.1s
STEP [6460], EPOCH [4/100], ITER [1462/1666] 
LOSS: 0.00086152, TIME: 1199.7s
STEP [6480], EPOCH [4/100], ITER [1482/1666] 
LOSS: 0.00093367, TIME: 1203.2s
STEP [6500], EPOCH [4/100], ITER [1502/1666] 
LOSS: 0.00065866, TIME: 1206.8s
STEP [6520], EPOCH [4/100], ITER [1522/1666] 
LOSS: 0.00082323, TIME: 1210.4s
STEP [6540], EPOCH [4/100], ITER [1542/1666] 
LOSS: 0.00111484, TIME: 1214.0s
STEP [6560], EPOCH [4/100], ITER [1562/1666] 
LOSS: 0.00093698, TIME: 1217.6s
STEP [6580], EPOCH [4/100], ITER [1582/1666] 
LOSS: 0.00089596, TIME: 1221.1s
STEP [6600], EPOCH [4/100], ITER [1602/1666] 
LOSS: 0.00116653, TIME: 1224.7s
STEP [6620], EPOCH [4/100], ITER [1622/1666] 
LOSS: 0.00134943, TIME: 1228.3s
STEP [6640], EPOCH [4/100], ITER [1642/1666] 
LOSS: 0.00087243, TIME: 1231.9s
STEP [6660], EPOCH [4/100], ITER [1662/1666] 
LOSS: 0.00093078, TIME: 1235.5s
STEP [6680], EPOCH [5/100], ITER [16/1666] 
LOSS: 0.00085839, TIME: 1247.9s
STEP [6700], EPOCH [5/100], ITER [36/1666] 
LOSS: 0.00088750, TIME: 1251.6s
STEP [6720], EPOCH [5/100], ITER [56/1666] 
LOSS: 0.00103222, TIME: 1258.5s
STEP [6740], EPOCH [5/100], ITER [76/1666] 
LOSS: 0.00091587, TIME: 1265.7s
STEP [6760], EPOCH [5/100], ITER [96/1666] 
LOSS: 0.00087286, TIME: 1273.0s
STEP [6780], EPOCH [5/100], ITER [116/1666] 
LOSS: 0.00106474, TIME: 1280.3s
STEP [6800], EPOCH [5/100], ITER [136/1666] 
LOSS: 0.00109583, TIME: 1287.6s
STEP [6820], EPOCH [5/100], ITER [156/1666] 
LOSS: 0.00101695, TIME: 1294.9s
STEP [6840], EPOCH [5/100], ITER [176/1666] 
LOSS: 0.00161351, TIME: 1302.3s
STEP [6860], EPOCH [5/100], ITER [196/1666] 
LOSS: 0.00109409, TIME: 1309.6s
STEP [6880], EPOCH [5/100], ITER [216/1666] 
LOSS: 0.00128913, TIME: 1316.9s
STEP [6900], EPOCH [5/100], ITER [236/1666] 
LOSS: 0.00093527, TIME: 1324.2s
STEP [6920], EPOCH [5/100], ITER [256/1666] 
LOSS: 0.00088231, TIME: 1331.5s
STEP [6940], EPOCH [5/100], ITER [276/1666] 
LOSS: 0.00096167, TIME: 1338.8s
STEP [6960], EPOCH [5/100], ITER [296/1666] 
LOSS: 0.00079546, TIME: 1346.1s
STEP [6980], EPOCH [5/100], ITER [316/1666] 
LOSS: 0.00074653, TIME: 1353.5s
STEP [7000], EPOCH [5/100], ITER [336/1666] 
LOSS: 0.00093878, TIME: 1360.8s
STEP [7020], EPOCH [5/100], ITER [356/1666] 
LOSS: 0.00105391, TIME: 1368.1s
STEP [7040], EPOCH [5/100], ITER [376/1666] 
LOSS: 0.00085909, TIME: 1375.5s
STEP [7060], EPOCH [5/100], ITER [396/1666] 
LOSS: 0.00089737, TIME: 1382.8s
STEP [7080], EPOCH [5/100], ITER [416/1666] 
LOSS: 0.00097248, TIME: 1390.1s
STEP [7100], EPOCH [5/100], ITER [436/1666] 
LOSS: 0.00093012, TIME: 1397.4s
STEP [7120], EPOCH [5/100], ITER [456/1666] 
LOSS: 0.00110293, TIME: 1404.8s
STEP [7140], EPOCH [5/100], ITER [476/1666] 
LOSS: 0.00109114, TIME: 1412.1s
STEP [7160], EPOCH [5/100], ITER [496/1666] 
LOSS: 0.00134460, TIME: 1419.4s
STEP [7180], EPOCH [5/100], ITER [516/1666] 
LOSS: 0.00090197, TIME: 1426.7s
STEP [7200], EPOCH [5/100], ITER [536/1666] 
LOSS: 0.00112647, TIME: 1434.1s
STEP [7220], EPOCH [5/100], ITER [556/1666] 
LOSS: 0.00090838, TIME: 1441.4s
STEP [7240], EPOCH [5/100], ITER [576/1666] 
LOSS: 0.00100252, TIME: 1448.7s
STEP [7260], EPOCH [5/100], ITER [596/1666] 
LOSS: 0.00083589, TIME: 1456.1s
STEP [7280], EPOCH [5/100], ITER [616/1666] 
LOSS: 0.00083630, TIME: 1463.4s
STEP [7300], EPOCH [5/100], ITER [636/1666] 
LOSS: 0.00134864, TIME: 1470.7s
STEP [7320], EPOCH [5/100], ITER [656/1666] 
LOSS: 0.00086834, TIME: 1478.0s
STEP [7340], EPOCH [5/100], ITER [676/1666] 
LOSS: 0.00091319, TIME: 1485.4s
STEP [7360], EPOCH [5/100], ITER [696/1666] 
LOSS: 0.00136378, TIME: 1492.4s
STEP [7380], EPOCH [5/100], ITER [716/1666] 
LOSS: 0.00079715, TIME: 1499.7s
STEP [7400], EPOCH [5/100], ITER [736/1666] 
LOSS: 0.00065413, TIME: 1507.0s
STEP [7420], EPOCH [5/100], ITER [756/1666] 
LOSS: 0.00063767, TIME: 1514.4s
STEP [7440], EPOCH [5/100], ITER [776/1666] 
LOSS: 0.00089540, TIME: 1521.7s
STEP [7460], EPOCH [5/100], ITER [796/1666] 
LOSS: 0.00113768, TIME: 1529.1s
STEP [7480], EPOCH [5/100], ITER [816/1666] 
LOSS: 0.00082474, TIME: 1536.4s
STEP [7500], EPOCH [5/100], ITER [836/1666] 
LOSS: 0.00101986, TIME: 1543.7s
STEP [7520], EPOCH [5/100], ITER [856/1666] 
LOSS: 0.00096565, TIME: 1551.0s
STEP [7540], EPOCH [5/100], ITER [876/1666] 
LOSS: 0.00151519, TIME: 1558.3s
STEP [7560], EPOCH [5/100], ITER [896/1666] 
LOSS: 0.00068898, TIME: 1565.7s
STEP [7580], EPOCH [5/100], ITER [916/1666] 
LOSS: 0.00110272, TIME: 1572.9s
STEP [7600], EPOCH [5/100], ITER [936/1666] 
LOSS: 0.00077115, TIME: 1580.3s
STEP [7620], EPOCH [5/100], ITER [956/1666] 
LOSS: 0.00136554, TIME: 1587.6s
STEP [7640], EPOCH [5/100], ITER [976/1666] 
LOSS: 0.00123199, TIME: 1594.9s
STEP [7660], EPOCH [5/100], ITER [996/1666] 
LOSS: 0.00105382, TIME: 1602.2s
STEP [7680], EPOCH [5/100], ITER [1016/1666] 
LOSS: 0.00103984, TIME: 1609.5s
STEP [7700], EPOCH [5/100], ITER [1036/1666] 
LOSS: 0.00106606, TIME: 1616.9s
STEP [7720], EPOCH [5/100], ITER [1056/1666] 
LOSS: 0.00114557, TIME: 1624.2s
STEP [7740], EPOCH [5/100], ITER [1076/1666] 
LOSS: 0.00149519, TIME: 1631.5s
STEP [7760], EPOCH [5/100], ITER [1096/1666] 
LOSS: 0.00090885, TIME: 1638.8s
STEP [7780], EPOCH [5/100], ITER [1116/1666] 
LOSS: 0.00056511, TIME: 1646.2s
STEP [7800], EPOCH [5/100], ITER [1136/1666] 
LOSS: 0.00094694, TIME: 1653.4s
STEP [7820], EPOCH [5/100], ITER [1156/1666] 
LOSS: 0.00096054, TIME: 1660.8s
STEP [7840], EPOCH [5/100], ITER [1176/1666] 
LOSS: 0.00084908, TIME: 1668.1s
STEP [7860], EPOCH [5/100], ITER [1196/1666] 
LOSS: 0.00064575, TIME: 1675.4s
STEP [7880], EPOCH [5/100], ITER [1216/1666] 
LOSS: 0.00093535, TIME: 1682.8s
STEP [7900], EPOCH [5/100], ITER [1236/1666] 
LOSS: 0.00092580, TIME: 1690.1s
STEP [7920], EPOCH [5/100], ITER [1256/1666] 
LOSS: 0.00098559, TIME: 1697.4s
STEP [7940], EPOCH [5/100], ITER [1276/1666] 
LOSS: 0.00109163, TIME: 1704.7s
STEP [7960], EPOCH [5/100], ITER [1296/1666] 
LOSS: 0.00105939, TIME: 1712.0s
STEP [7980], EPOCH [5/100], ITER [1316/1666] 
LOSS: 0.00097357, TIME: 1719.3s
STEP [8000], EPOCH [5/100], ITER [1336/1666] 
LOSS: 0.00079052, TIME: 1726.6s
STEP [8020], EPOCH [5/100], ITER [1356/1666] 
LOSS: 0.00149037, TIME: 1734.0s
STEP [8040], EPOCH [5/100], ITER [1376/1666] 
LOSS: 0.00206190, TIME: 1741.3s
STEP [8060], EPOCH [5/100], ITER [1396/1666] 
LOSS: 0.00128775, TIME: 1748.6s
STEP [8080], EPOCH [5/100], ITER [1416/1666] 
LOSS: 0.00090527, TIME: 1756.0s
STEP [8100], EPOCH [5/100], ITER [1436/1666] 
LOSS: 0.00086703, TIME: 1763.3s
STEP [8120], EPOCH [5/100], ITER [1456/1666] 
LOSS: 0.00090735, TIME: 1770.6s
STEP [8140], EPOCH [5/100], ITER [1476/1666] 
LOSS: 0.00120998, TIME: 1777.9s
STEP [8160], EPOCH [5/100], ITER [1496/1666] 
LOSS: 0.00061108, TIME: 1785.2s
STEP [8180], EPOCH [5/100], ITER [1516/1666] 
LOSS: 0.00095590, TIME: 1792.6s
STEP [8200], EPOCH [5/100], ITER [1536/1666] 
LOSS: 0.00082321, TIME: 1799.9s
STEP [8220], EPOCH [5/100], ITER [1556/1666] 
LOSS: 0.00095868, TIME: 1807.1s
STEP [8240], EPOCH [5/100], ITER [1576/1666] 
LOSS: 0.00093629, TIME: 1814.5s
STEP [8260], EPOCH [5/100], ITER [1596/1666] 
LOSS: 0.00087160, TIME: 1821.8s
STEP [8280], EPOCH [5/100], ITER [1616/1666] 
LOSS: 0.00096437, TIME: 1829.1s
STEP [8300], EPOCH [5/100], ITER [1636/1666] 
LOSS: 0.00124574, TIME: 1836.4s
STEP [8320], EPOCH [5/100], ITER [1656/1666] 
LOSS: 0.00170888, TIME: 1843.7s
STEP [8340], EPOCH [6/100], ITER [10/1666] 
LOSS: 0.00079834, TIME: 1859.3s
STEP [8360], EPOCH [6/100], ITER [30/1666] 
LOSS: 0.00101814, TIME: 1866.7s
STEP [8380], EPOCH [6/100], ITER [50/1666] 
LOSS: 0.00089373, TIME: 1873.9s
STEP [8400], EPOCH [6/100], ITER [70/1666] 
LOSS: 0.00100707, TIME: 1881.3s
STEP [8420], EPOCH [6/100], ITER [90/1666] 
LOSS: 0.00081449, TIME: 1888.6s
STEP [8440], EPOCH [6/100], ITER [110/1666] 
LOSS: 0.00108008, TIME: 1895.9s
STEP [8460], EPOCH [6/100], ITER [130/1666] 
LOSS: 0.00089205, TIME: 1903.2s
STEP [8480], EPOCH [6/100], ITER [150/1666] 
LOSS: 0.00116744, TIME: 1910.5s
STEP [8500], EPOCH [6/100], ITER [170/1666] 
LOSS: 0.00124969, TIME: 1917.9s
STEP [8520], EPOCH [6/100], ITER [190/1666] 
LOSS: 0.00098871, TIME: 1925.2s
STEP [8540], EPOCH [6/100], ITER [210/1666] 
LOSS: 0.00136411, TIME: 1932.5s
STEP [8560], EPOCH [6/100], ITER [230/1666] 
LOSS: 0.00100499, TIME: 1939.8s
STEP [8580], EPOCH [6/100], ITER [250/1666] 
LOSS: 0.00056793, TIME: 1947.1s
STEP [8600], EPOCH [6/100], ITER [270/1666] 
LOSS: 0.00098966, TIME: 1954.4s
STEP [8620], EPOCH [6/100], ITER [290/1666] 
LOSS: 0.00119150, TIME: 1961.7s
STEP [8640], EPOCH [6/100], ITER [310/1666] 
LOSS: 0.00094948, TIME: 1969.1s
STEP [8660], EPOCH [6/100], ITER [330/1666] 
LOSS: 0.00094154, TIME: 1976.4s
STEP [8680], EPOCH [6/100], ITER [350/1666] 
LOSS: 0.00122170, TIME: 1983.7s
STEP [8700], EPOCH [6/100], ITER [370/1666] 
LOSS: 0.00133391, TIME: 1991.1s
STEP [8720], EPOCH [6/100], ITER [390/1666] 
LOSS: 0.00101581, TIME: 1998.4s
STEP [8740], EPOCH [6/100], ITER [410/1666] 
LOSS: 0.00105199, TIME: 2005.7s
STEP [8760], EPOCH [6/100], ITER [430/1666] 
LOSS: 0.00090306, TIME: 2013.0s
STEP [8780], EPOCH [6/100], ITER [450/1666] 
LOSS: 0.00067720, TIME: 2020.4s
STEP [8800], EPOCH [6/100], ITER [470/1666] 
LOSS: 0.00115999, TIME: 2027.7s
STEP [8820], EPOCH [6/100], ITER [490/1666] 
LOSS: 0.00083535, TIME: 2035.0s
STEP [8840], EPOCH [6/100], ITER [510/1666] 
LOSS: 0.00087695, TIME: 2042.3s
STEP [8860], EPOCH [6/100], ITER [530/1666] 
LOSS: 0.00062934, TIME: 2049.6s
STEP [8880], EPOCH [6/100], ITER [550/1666] 
LOSS: 0.00110780, TIME: 2056.9s
STEP [8900], EPOCH [6/100], ITER [570/1666] 
LOSS: 0.00102212, TIME: 2064.2s
STEP [8920], EPOCH [6/100], ITER [590/1666] 
LOSS: 0.00092920, TIME: 2071.6s
STEP [8940], EPOCH [6/100], ITER [610/1666] 
LOSS: 0.00065526, TIME: 2078.9s
STEP [8960], EPOCH [6/100], ITER [630/1666] 
LOSS: 0.00089070, TIME: 2086.2s
STEP [8980], EPOCH [6/100], ITER [650/1666] 
LOSS: 0.00099571, TIME: 2093.5s
STEP [9000], EPOCH [6/100], ITER [670/1666] 
LOSS: 0.00112659, TIME: 2100.8s
STEP [9020], EPOCH [6/100], ITER [690/1666] 
LOSS: 0.00171747, TIME: 2108.2s
STEP [9040], EPOCH [6/100], ITER [710/1666] 
LOSS: 0.00106088, TIME: 2115.5s
STEP [9060], EPOCH [6/100], ITER [730/1666] 
LOSS: 0.00086090, TIME: 2122.8s
STEP [9080], EPOCH [6/100], ITER [750/1666] 
LOSS: 0.00095358, TIME: 2130.1s
STEP [9100], EPOCH [6/100], ITER [770/1666] 
LOSS: 0.00094220, TIME: 2137.5s
STEP [9120], EPOCH [6/100], ITER [790/1666] 
LOSS: 0.00066076, TIME: 2144.8s
STEP [9140], EPOCH [6/100], ITER [810/1666] 
LOSS: 0.00102164, TIME: 2152.1s
STEP [9160], EPOCH [6/100], ITER [830/1666] 
LOSS: 0.00100404, TIME: 2159.4s
STEP [9180], EPOCH [6/100], ITER [850/1666] 
LOSS: 0.00109802, TIME: 2166.7s
STEP [9200], EPOCH [6/100], ITER [870/1666] 
LOSS: 0.00081334, TIME: 2174.1s
STEP [9220], EPOCH [6/100], ITER [890/1666] 
LOSS: 0.00102075, TIME: 2181.4s
STEP [9240], EPOCH [6/100], ITER [910/1666] 
LOSS: 0.00145142, TIME: 2188.7s
STEP [9260], EPOCH [6/100], ITER [930/1666] 
LOSS: 0.00137937, TIME: 2196.0s
STEP [9280], EPOCH [6/100], ITER [950/1666] 
LOSS: 0.00101306, TIME: 2203.3s
STEP [9300], EPOCH [6/100], ITER [970/1666] 
LOSS: 0.00127706, TIME: 2210.6s
STEP [9320], EPOCH [6/100], ITER [990/1666] 
LOSS: 0.00101075, TIME: 2217.9s
STEP [9340], EPOCH [6/100], ITER [1010/1666] 
LOSS: 0.00098862, TIME: 2225.3s
STEP [9360], EPOCH [6/100], ITER [1030/1666] 
LOSS: 0.00076768, TIME: 2232.6s
STEP [9380], EPOCH [6/100], ITER [1050/1666] 
LOSS: 0.00067221, TIME: 2239.9s
STEP [9400], EPOCH [6/100], ITER [1070/1666] 
LOSS: 0.00112122, TIME: 2247.2s
STEP [9420], EPOCH [6/100], ITER [1090/1666] 
LOSS: 0.00059248, TIME: 2254.5s
STEP [9440], EPOCH [6/100], ITER [1110/1666] 
LOSS: 0.00124062, TIME: 2261.9s
STEP [9460], EPOCH [6/100], ITER [1130/1666] 
LOSS: 0.00081578, TIME: 2269.1s
STEP [9480], EPOCH [6/100], ITER [1150/1666] 
LOSS: 0.00087999, TIME: 2276.4s
STEP [9500], EPOCH [6/100], ITER [1170/1666] 
LOSS: 0.00125510, TIME: 2283.8s
STEP [9520], EPOCH [6/100], ITER [1190/1666] 
LOSS: 0.00095782, TIME: 2291.1s
STEP [9540], EPOCH [6/100], ITER [1210/1666] 
LOSS: 0.00093137, TIME: 2298.4s
STEP [9560], EPOCH [6/100], ITER [1230/1666] 
LOSS: 0.00068852, TIME: 2305.7s
STEP [9580], EPOCH [6/100], ITER [1250/1666] 
LOSS: 0.00107923, TIME: 2313.0s
STEP [9600], EPOCH [6/100], ITER [1270/1666] 
LOSS: 0.00093938, TIME: 2320.4s
STEP [9620], EPOCH [6/100], ITER [1290/1666] 
LOSS: 0.00156010, TIME: 2327.7s
STEP [9640], EPOCH [6/100], ITER [1310/1666] 
LOSS: 0.00065352, TIME: 2335.0s
STEP [9660], EPOCH [6/100], ITER [1330/1666] 
LOSS: 0.00081933, TIME: 2342.3s
STEP [9680], EPOCH [6/100], ITER [1350/1666] 
LOSS: 0.00096648, TIME: 2349.6s
STEP [9700], EPOCH [6/100], ITER [1370/1666] 
LOSS: 0.00109399, TIME: 2356.9s
STEP [9720], EPOCH [6/100], ITER [1390/1666] 
LOSS: 0.00069755, TIME: 2364.2s
STEP [9740], EPOCH [6/100], ITER [1410/1666] 
LOSS: 0.00232736, TIME: 2371.5s
STEP [9760], EPOCH [6/100], ITER [1430/1666] 
LOSS: 0.00068524, TIME: 2378.8s
STEP [9780], EPOCH [6/100], ITER [1450/1666] 
LOSS: 0.00083549, TIME: 2386.2s
STEP [9800], EPOCH [6/100], ITER [1470/1666] 
LOSS: 0.00157793, TIME: 2393.5s
STEP [9820], EPOCH [6/100], ITER [1490/1666] 
LOSS: 0.00066787, TIME: 2400.8s
STEP [9840], EPOCH [6/100], ITER [1510/1666] 
LOSS: 0.00160519, TIME: 2408.1s
STEP [9860], EPOCH [6/100], ITER [1530/1666] 
LOSS: 0.00077466, TIME: 2415.4s
STEP [9880], EPOCH [6/100], ITER [1550/1666] 
LOSS: 0.00076232, TIME: 2422.8s
STEP [9900], EPOCH [6/100], ITER [1570/1666] 
LOSS: 0.00090175, TIME: 2430.0s
STEP [9920], EPOCH [6/100], ITER [1590/1666] 
LOSS: 0.00190174, TIME: 2437.4s
STEP [9940], EPOCH [6/100], ITER [1610/1666] 
LOSS: 0.00077451, TIME: 2444.7s
STEP [9960], EPOCH [6/100], ITER [1630/1666] 
LOSS: 0.00075462, TIME: 2452.0s
STEP [9980], EPOCH [6/100], ITER [1650/1666] 
LOSS: 0.00110008, TIME: 2459.3s
STEP [10000], EPOCH [7/100], ITER [4/1666] 
LOSS: 0.00098617, TIME: 2474.8s
STEP [10020], EPOCH [7/100], ITER [24/1666] 
LOSS: 0.00106755, TIME: 2482.2s
STEP [10040], EPOCH [7/100], ITER [44/1666] 
LOSS: 0.00112413, TIME: 2489.5s
STEP [10060], EPOCH [7/100], ITER [64/1666] 
LOSS: 0.00070264, TIME: 2496.8s
STEP [10080], EPOCH [7/100], ITER [84/1666] 
LOSS: 0.00099717, TIME: 2504.1s
STEP [10100], EPOCH [7/100], ITER [104/1666] 
LOSS: 0.00105169, TIME: 2511.4s
STEP [10120], EPOCH [7/100], ITER [124/1666] 
LOSS: 0.00082402, TIME: 2518.7s
STEP [10140], EPOCH [7/100], ITER [144/1666] 
LOSS: 0.00120618, TIME: 2526.1s
STEP [10160], EPOCH [7/100], ITER [164/1666] 
LOSS: 0.00144873, TIME: 2533.4s
STEP [10180], EPOCH [7/100], ITER [184/1666] 
LOSS: 0.00093511, TIME: 2540.7s
STEP [10200], EPOCH [7/100], ITER [204/1666] 
LOSS: 0.00102807, TIME: 2548.0s
STEP [10220], EPOCH [7/100], ITER [224/1666] 
LOSS: 0.00121892, TIME: 2555.3s
STEP [10240], EPOCH [7/100], ITER [244/1666] 
LOSS: 0.00125127, TIME: 2562.7s
STEP [10260], EPOCH [7/100], ITER [264/1666] 
LOSS: 0.00068772, TIME: 2570.0s
STEP [10280], EPOCH [7/100], ITER [284/1666] 
LOSS: 0.00169059, TIME: 2577.3s
STEP [10300], EPOCH [7/100], ITER [304/1666] 
LOSS: 0.00091816, TIME: 2584.6s
STEP [10320], EPOCH [7/100], ITER [324/1666] 
LOSS: 0.00093764, TIME: 2591.9s
STEP [10340], EPOCH [7/100], ITER [344/1666] 
LOSS: 0.00101963, TIME: 2599.2s
STEP [10360], EPOCH [7/100], ITER [364/1666] 
LOSS: 0.00088823, TIME: 2606.5s
STEP [10380], EPOCH [7/100], ITER [384/1666] 
LOSS: 0.00104185, TIME: 2613.9s
STEP [10400], EPOCH [7/100], ITER [404/1666] 
LOSS: 0.00090280, TIME: 2621.2s
STEP [10420], EPOCH [7/100], ITER [424/1666] 
LOSS: 0.00112890, TIME: 2628.5s
STEP [10440], EPOCH [7/100], ITER [444/1666] 
LOSS: 0.00077424, TIME: 2635.9s
STEP [10460], EPOCH [7/100], ITER [464/1666] 
LOSS: 0.00124182, TIME: 2643.2s
STEP [10480], EPOCH [7/100], ITER [484/1666] 
LOSS: 0.00076442, TIME: 2650.5s
STEP [10500], EPOCH [7/100], ITER [504/1666] 
LOSS: 0.00126776, TIME: 2657.8s
STEP [10520], EPOCH [7/100], ITER [524/1666] 
LOSS: 0.00108693, TIME: 2665.1s
STEP [10540], EPOCH [7/100], ITER [544/1666] 
LOSS: 0.00081558, TIME: 2672.4s
STEP [10560], EPOCH [7/100], ITER [564/1666] 
LOSS: 0.00091587, TIME: 2679.8s
STEP [10580], EPOCH [7/100], ITER [584/1666] 
LOSS: 0.00100521, TIME: 2687.1s
STEP [10600], EPOCH [7/100], ITER [604/1666] 
LOSS: 0.00076048, TIME: 2694.4s
STEP [10620], EPOCH [7/100], ITER [624/1666] 
LOSS: 0.00078216, TIME: 2701.7s
STEP [10640], EPOCH [7/100], ITER [644/1666] 
LOSS: 0.00097954, TIME: 2709.0s
STEP [10660], EPOCH [7/100], ITER [664/1666] 
LOSS: 0.00111748, TIME: 2716.4s
STEP [10680], EPOCH [7/100], ITER [684/1666] 
LOSS: 0.00080648, TIME: 2723.7s
STEP [10700], EPOCH [7/100], ITER [704/1666] 
LOSS: 0.00099675, TIME: 2731.0s
STEP [10720], EPOCH [7/100], ITER [724/1666] 
LOSS: 0.00124456, TIME: 2738.3s
STEP [10740], EPOCH [7/100], ITER [744/1666] 
LOSS: 0.00096758, TIME: 2745.6s
STEP [10760], EPOCH [7/100], ITER [764/1666] 
LOSS: 0.00102973, TIME: 2752.9s
STEP [10780], EPOCH [7/100], ITER [784/1666] 
LOSS: 0.00092937, TIME: 2760.2s
STEP [10800], EPOCH [7/100], ITER [804/1666] 
LOSS: 0.00087865, TIME: 2767.6s
STEP [10820], EPOCH [7/100], ITER [824/1666] 
LOSS: 0.00133659, TIME: 2774.9s
STEP [10840], EPOCH [7/100], ITER [844/1666] 
LOSS: 0.00100636, TIME: 2782.2s
STEP [10860], EPOCH [7/100], ITER [864/1666] 
LOSS: 0.00134086, TIME: 2789.5s
STEP [10880], EPOCH [7/100], ITER [884/1666] 
LOSS: 0.00089265, TIME: 2796.8s
STEP [10900], EPOCH [7/100], ITER [904/1666] 
LOSS: 0.00120958, TIME: 2804.2s
STEP [10920], EPOCH [7/100], ITER [924/1666] 
LOSS: 0.00130058, TIME: 2810.2s
STEP [10940], EPOCH [7/100], ITER [944/1666] 
LOSS: 0.00129415, TIME: 2814.1s
STEP [10960], EPOCH [7/100], ITER [964/1666] 
LOSS: 0.00117863, TIME: 2821.3s
STEP [10980], EPOCH [7/100], ITER [984/1666] 
LOSS: 0.00180700, TIME: 2828.6s
STEP [11000], EPOCH [7/100], ITER [1004/1666] 
LOSS: 0.00142854, TIME: 2835.9s
STEP [11020], EPOCH [7/100], ITER [1024/1666] 
LOSS: 0.00086312, TIME: 2843.3s
STEP [11040], EPOCH [7/100], ITER [1044/1666] 
LOSS: 0.00223208, TIME: 2850.6s
STEP [11060], EPOCH [7/100], ITER [1064/1666] 
LOSS: 0.00167585, TIME: 2857.9s
STEP [11080], EPOCH [7/100], ITER [1084/1666] 
LOSS: 0.00101048, TIME: 2865.2s
STEP [11100], EPOCH [7/100], ITER [1104/1666] 
LOSS: 0.00083644, TIME: 2872.6s
STEP [11120], EPOCH [7/100], ITER [1124/1666] 
LOSS: 0.00060258, TIME: 2879.9s
STEP [11140], EPOCH [7/100], ITER [1144/1666] 
LOSS: 0.00102125, TIME: 2887.2s
STEP [11160], EPOCH [7/100], ITER [1164/1666] 
LOSS: 0.00112115, TIME: 2894.5s
STEP [11180], EPOCH [7/100], ITER [1184/1666] 
LOSS: 0.00108285, TIME: 2901.9s
STEP [11200], EPOCH [7/100], ITER [1204/1666] 
LOSS: 0.00131722, TIME: 2909.2s
STEP [11220], EPOCH [7/100], ITER [1224/1666] 
LOSS: 0.00114318, TIME: 2916.5s
STEP [11240], EPOCH [7/100], ITER [1244/1666] 
LOSS: 0.00109459, TIME: 2923.9s
STEP [11260], EPOCH [7/100], ITER [1264/1666] 
LOSS: 0.00069274, TIME: 2931.2s
STEP [11280], EPOCH [7/100], ITER [1284/1666] 
LOSS: 0.00091449, TIME: 2938.5s
STEP [11300], EPOCH [7/100], ITER [1304/1666] 
LOSS: 0.00071817, TIME: 2945.8s
STEP [11320], EPOCH [7/100], ITER [1324/1666] 
LOSS: 0.00111678, TIME: 2953.1s
STEP [11340], EPOCH [7/100], ITER [1344/1666] 
LOSS: 0.00151986, TIME: 2960.4s
STEP [11360], EPOCH [7/100], ITER [1364/1666] 
LOSS: 0.00087862, TIME: 2967.8s
STEP [11380], EPOCH [7/100], ITER [1384/1666] 
LOSS: 0.00088661, TIME: 2975.1s
STEP [11400], EPOCH [7/100], ITER [1404/1666] 
LOSS: 0.00103565, TIME: 2982.4s
STEP [11420], EPOCH [7/100], ITER [1424/1666] 
LOSS: 0.00105318, TIME: 2989.7s
STEP [11440], EPOCH [7/100], ITER [1444/1666] 
LOSS: 0.00150884, TIME: 2997.1s
STEP [11460], EPOCH [7/100], ITER [1464/1666] 
LOSS: 0.00078776, TIME: 3004.4s
STEP [11480], EPOCH [7/100], ITER [1484/1666] 
LOSS: 0.00153123, TIME: 3011.7s
STEP [11500], EPOCH [7/100], ITER [1504/1666] 
LOSS: 0.00100734, TIME: 3019.0s
STEP [11520], EPOCH [7/100], ITER [1524/1666] 
LOSS: 0.00078779, TIME: 3026.4s
STEP [11540], EPOCH [7/100], ITER [1544/1666] 
LOSS: 0.00105637, TIME: 3033.7s
STEP [11560], EPOCH [7/100], ITER [1564/1666] 
LOSS: 0.00123273, TIME: 3041.0s
STEP [11580], EPOCH [7/100], ITER [1584/1666] 
LOSS: 0.00189098, TIME: 3048.3s
STEP [11600], EPOCH [7/100], ITER [1604/1666] 
LOSS: 0.00069609, TIME: 3055.6s
STEP [11620], EPOCH [7/100], ITER [1624/1666] 
LOSS: 0.00081322, TIME: 3062.9s
STEP [11640], EPOCH [7/100], ITER [1644/1666] 
LOSS: 0.00075452, TIME: 3070.2s
STEP [11660], EPOCH [7/100], ITER [1664/1666] 
LOSS: 0.00185455, TIME: 3077.6s
STEP [11680], EPOCH [8/100], ITER [18/1666] 
LOSS: 0.00082138, TIME: 3093.3s
STEP [11700], EPOCH [8/100], ITER [38/1666] 
LOSS: 0.00125039, TIME: 3100.7s
STEP [11720], EPOCH [8/100], ITER [58/1666] 
LOSS: 0.00050959, TIME: 3108.0s
STEP [11740], EPOCH [8/100], ITER [78/1666] 
LOSS: 0.00118233, TIME: 3115.3s
STEP [11760], EPOCH [8/100], ITER [98/1666] 
LOSS: 0.00144729, TIME: 3122.6s
STEP [11780], EPOCH [8/100], ITER [118/1666] 
LOSS: 0.00124158, TIME: 3129.9s
STEP [11800], EPOCH [8/100], ITER [138/1666] 
LOSS: 0.00097965, TIME: 3137.2s
STEP [11820], EPOCH [8/100], ITER [158/1666] 
LOSS: 0.00101709, TIME: 3144.5s
STEP [11840], EPOCH [8/100], ITER [178/1666] 
LOSS: 0.00166484, TIME: 3151.9s
STEP [11860], EPOCH [8/100], ITER [198/1666] 
LOSS: 0.00092288, TIME: 3159.2s
STEP [11880], EPOCH [8/100], ITER [218/1666] 
LOSS: 0.00099375, TIME: 3166.5s
STEP [11900], EPOCH [8/100], ITER [238/1666] 
LOSS: 0.00045724, TIME: 3173.8s
STEP [11920], EPOCH [8/100], ITER [258/1666] 
LOSS: 0.00087171, TIME: 3181.1s
STEP [11940], EPOCH [8/100], ITER [278/1666] 
LOSS: 0.00097884, TIME: 3188.4s
STEP [11960], EPOCH [8/100], ITER [298/1666] 
LOSS: 0.00201278, TIME: 3195.8s
STEP [11980], EPOCH [8/100], ITER [318/1666] 
LOSS: 0.00081646, TIME: 3203.0s
STEP [12000], EPOCH [8/100], ITER [338/1666] 
LOSS: 0.00137252, TIME: 3210.4s
STEP [12020], EPOCH [8/100], ITER [358/1666] 
LOSS: 0.00094444, TIME: 3217.7s
STEP [12040], EPOCH [8/100], ITER [378/1666] 
LOSS: 0.00077107, TIME: 3225.0s
STEP [12060], EPOCH [8/100], ITER [398/1666] 
LOSS: 0.00123984, TIME: 3232.4s
STEP [12080], EPOCH [8/100], ITER [418/1666] 
LOSS: 0.00176015, TIME: 3239.7s
STEP [12100], EPOCH [8/100], ITER [438/1666] 
LOSS: 0.00096240, TIME: 3247.0s
STEP [12120], EPOCH [8/100], ITER [458/1666] 
LOSS: 0.00134042, TIME: 3254.3s
STEP [12140], EPOCH [8/100], ITER [478/1666] 
LOSS: 0.00090291, TIME: 3261.6s
STEP [12160], EPOCH [8/100], ITER [498/1666] 
LOSS: 0.00116461, TIME: 3269.0s
STEP [12180], EPOCH [8/100], ITER [518/1666] 
LOSS: 0.00105066, TIME: 3276.3s
STEP [12200], EPOCH [8/100], ITER [538/1666] 
LOSS: 0.00060946, TIME: 3283.6s
STEP [12220], EPOCH [8/100], ITER [558/1666] 
LOSS: 0.00134501, TIME: 3290.9s
STEP [12240], EPOCH [8/100], ITER [578/1666] 
LOSS: 0.00249748, TIME: 3298.2s
STEP [12260], EPOCH [8/100], ITER [598/1666] 
LOSS: 0.00097109, TIME: 3305.5s
STEP [12280], EPOCH [8/100], ITER [618/1666] 
LOSS: 0.00110052, TIME: 3312.8s
STEP [12300], EPOCH [8/100], ITER [638/1666] 
LOSS: 0.00062935, TIME: 3320.2s
STEP [12320], EPOCH [8/100], ITER [658/1666] 
LOSS: 0.00141592, TIME: 3327.5s
STEP [12340], EPOCH [8/100], ITER [678/1666] 
LOSS: 0.00101893, TIME: 3334.8s
STEP [12360], EPOCH [8/100], ITER [698/1666] 
LOSS: 0.00237711, TIME: 3342.1s
STEP [12380], EPOCH [8/100], ITER [718/1666] 
LOSS: 0.00119475, TIME: 3349.5s
STEP [12400], EPOCH [8/100], ITER [738/1666] 
LOSS: 0.00098673, TIME: 3356.8s
STEP [12420], EPOCH [8/100], ITER [758/1666] 
LOSS: 0.00161878, TIME: 3364.1s
STEP [12440], EPOCH [8/100], ITER [778/1666] 
LOSS: 0.00108596, TIME: 3371.4s
STEP [12460], EPOCH [8/100], ITER [798/1666] 
LOSS: 0.00080921, TIME: 3378.7s
STEP [12480], EPOCH [8/100], ITER [818/1666] 
LOSS: 0.00078957, TIME: 3386.0s
STEP [12500], EPOCH [8/100], ITER [838/1666] 
LOSS: 0.00141216, TIME: 3393.4s
STEP [12520], EPOCH [8/100], ITER [858/1666] 
LOSS: 0.00181296, TIME: 3400.7s
STEP [12540], EPOCH [8/100], ITER [878/1666] 
LOSS: 0.00148281, TIME: 3408.0s
STEP [12560], EPOCH [8/100], ITER [898/1666] 
LOSS: 0.00071516, TIME: 3415.3s
STEP [12580], EPOCH [8/100], ITER [918/1666] 
LOSS: 0.00094004, TIME: 3422.6s
STEP [12600], EPOCH [8/100], ITER [938/1666] 
LOSS: 0.00114349, TIME: 3430.0s
STEP [12620], EPOCH [8/100], ITER [958/1666] 
LOSS: 0.00095872, TIME: 3437.2s
STEP [12640], EPOCH [8/100], ITER [978/1666] 
LOSS: 0.00104833, TIME: 3444.5s
STEP [12660], EPOCH [8/100], ITER [998/1666] 
LOSS: 0.00107330, TIME: 3451.9s
STEP [12680], EPOCH [8/100], ITER [1018/1666] 
LOSS: 0.00081252, TIME: 3459.2s
STEP [12700], EPOCH [8/100], ITER [1038/1666] 
LOSS: 0.00096072, TIME: 3466.5s
STEP [12720], EPOCH [8/100], ITER [1058/1666] 
LOSS: 0.00122674, TIME: 3473.8s
STEP [12740], EPOCH [8/100], ITER [1078/1666] 
LOSS: 0.00057396, TIME: 3481.1s
STEP [12760], EPOCH [8/100], ITER [1098/1666] 
LOSS: 0.00139929, TIME: 3488.5s
STEP [12780], EPOCH [8/100], ITER [1118/1666] 
LOSS: 0.00075232, TIME: 3495.8s
STEP [12800], EPOCH [8/100], ITER [1138/1666] 
LOSS: 0.00176410, TIME: 3503.1s
STEP [12820], EPOCH [8/100], ITER [1158/1666] 
LOSS: 0.00087699, TIME: 3510.4s
STEP [12840], EPOCH [8/100], ITER [1178/1666] 
LOSS: 0.00114304, TIME: 3517.7s
STEP [12860], EPOCH [8/100], ITER [1198/1666] 
LOSS: 0.00098015, TIME: 3525.0s
STEP [12880], EPOCH [8/100], ITER [1218/1666] 
LOSS: 0.00084476, TIME: 3532.3s
STEP [12900], EPOCH [8/100], ITER [1238/1666] 
LOSS: 0.00084260, TIME: 3539.6s
STEP [12920], EPOCH [8/100], ITER [1258/1666] 
LOSS: 0.00095681, TIME: 3546.9s
STEP [12940], EPOCH [8/100], ITER [1278/1666] 
LOSS: 0.00053013, TIME: 3554.3s
STEP [12960], EPOCH [8/100], ITER [1298/1666] 
LOSS: 0.00096018, TIME: 3561.6s
STEP [12980], EPOCH [8/100], ITER [1318/1666] 
LOSS: 0.00069028, TIME: 3568.9s
STEP [13000], EPOCH [8/100], ITER [1338/1666] 
LOSS: 0.00138747, TIME: 3576.2s
STEP [13020], EPOCH [8/100], ITER [1358/1666] 
LOSS: 0.00078696, TIME: 3583.6s
STEP [13040], EPOCH [8/100], ITER [1378/1666] 
LOSS: 0.00119149, TIME: 3590.9s
STEP [13060], EPOCH [8/100], ITER [1398/1666] 
LOSS: 0.00162557, TIME: 3598.1s
STEP [13080], EPOCH [8/100], ITER [1418/1666] 
LOSS: 0.00106177, TIME: 3605.5s
STEP [13100], EPOCH [8/100], ITER [1438/1666] 
LOSS: 0.00090552, TIME: 3612.8s
STEP [13120], EPOCH [8/100], ITER [1458/1666] 
LOSS: 0.00099565, TIME: 3620.1s
STEP [13140], EPOCH [8/100], ITER [1478/1666] 
LOSS: 0.00105615, TIME: 3627.4s
STEP [13160], EPOCH [8/100], ITER [1498/1666] 
LOSS: 0.00071382, TIME: 3634.7s
STEP [13180], EPOCH [8/100], ITER [1518/1666] 
LOSS: 0.00121847, TIME: 3642.1s
STEP [13200], EPOCH [8/100], ITER [1538/1666] 
LOSS: 0.00130558, TIME: 3649.4s
STEP [13220], EPOCH [8/100], ITER [1558/1666] 
LOSS: 0.00050689, TIME: 3656.7s
STEP [13240], EPOCH [8/100], ITER [1578/1666] 
LOSS: 0.00114892, TIME: 3664.1s
STEP [13260], EPOCH [8/100], ITER [1598/1666] 
LOSS: 0.00091436, TIME: 3671.4s
STEP [13280], EPOCH [8/100], ITER [1618/1666] 
LOSS: 0.00059915, TIME: 3678.6s
STEP [13300], EPOCH [8/100], ITER [1638/1666] 
LOSS: 0.00113004, TIME: 3685.9s
STEP [13320], EPOCH [8/100], ITER [1658/1666] 
LOSS: 0.00135143, TIME: 3693.3s
STEP [13340], EPOCH [9/100], ITER [12/1666] 
LOSS: 0.00087910, TIME: 3708.8s
STEP [13360], EPOCH [9/100], ITER [32/1666] 
LOSS: 0.00105119, TIME: 3716.1s
STEP [13380], EPOCH [9/100], ITER [52/1666] 
LOSS: 0.00147221, TIME: 3723.4s
STEP [13400], EPOCH [9/100], ITER [72/1666] 
LOSS: 0.00107475, TIME: 3730.7s
STEP [13420], EPOCH [9/100], ITER [92/1666] 
LOSS: 0.00109950, TIME: 3738.0s
STEP [13440], EPOCH [9/100], ITER [112/1666] 
LOSS: 0.00070062, TIME: 3745.3s
STEP [13460], EPOCH [9/100], ITER [132/1666] 
LOSS: 0.00067951, TIME: 3752.6s
STEP [13480], EPOCH [9/100], ITER [152/1666] 
LOSS: 0.00091889, TIME: 3759.9s
STEP [13500], EPOCH [9/100], ITER [172/1666] 
LOSS: 0.00106866, TIME: 3767.3s
STEP [13520], EPOCH [9/100], ITER [192/1666] 
LOSS: 0.00109770, TIME: 3774.6s
STEP [13540], EPOCH [9/100], ITER [212/1666] 
LOSS: 0.00067244, TIME: 3781.9s
STEP [13560], EPOCH [9/100], ITER [232/1666] 
LOSS: 0.00172306, TIME: 3789.3s
STEP [13580], EPOCH [9/100], ITER [252/1666] 
LOSS: 0.00095097, TIME: 3796.6s
STEP [13600], EPOCH [9/100], ITER [272/1666] 
LOSS: 0.00170008, TIME: 3803.9s
STEP [13620], EPOCH [9/100], ITER [292/1666] 
LOSS: 0.00083334, TIME: 3811.2s
STEP [13640], EPOCH [9/100], ITER [312/1666] 
LOSS: 0.00064187, TIME: 3818.5s
STEP [13660], EPOCH [9/100], ITER [332/1666] 
LOSS: 0.00086926, TIME: 3825.8s
STEP [13680], EPOCH [9/100], ITER [352/1666] 
LOSS: 0.00099888, TIME: 3833.1s
STEP [13700], EPOCH [9/100], ITER [372/1666] 
LOSS: 0.00076469, TIME: 3840.5s
STEP [13720], EPOCH [9/100], ITER [392/1666] 
LOSS: 0.00089740, TIME: 3847.8s
STEP [13740], EPOCH [9/100], ITER [412/1666] 
LOSS: 0.00111293, TIME: 3855.1s
STEP [13760], EPOCH [9/100], ITER [432/1666] 
LOSS: 0.00117201, TIME: 3862.4s
STEP [13780], EPOCH [9/100], ITER [452/1666] 
LOSS: 0.00118681, TIME: 3869.7s
STEP [13800], EPOCH [9/100], ITER [472/1666] 
LOSS: 0.00147456, TIME: 3877.1s
STEP [13820], EPOCH [9/100], ITER [492/1666] 
LOSS: 0.00077804, TIME: 3884.4s
STEP [13840], EPOCH [9/100], ITER [512/1666] 
LOSS: 0.00093408, TIME: 3891.7s
STEP [13860], EPOCH [9/100], ITER [532/1666] 
LOSS: 0.00128265, TIME: 3899.0s
STEP [13880], EPOCH [9/100], ITER [552/1666] 
LOSS: 0.00098077, TIME: 3906.3s
STEP [13900], EPOCH [9/100], ITER [572/1666] 
LOSS: 0.00095704, TIME: 3913.6s
STEP [13920], EPOCH [9/100], ITER [592/1666] 
LOSS: 0.00098308, TIME: 3920.9s
STEP [13940], EPOCH [9/100], ITER [612/1666] 
LOSS: 0.00084256, TIME: 3928.2s
STEP [13960], EPOCH [9/100], ITER [632/1666] 
LOSS: 0.00061276, TIME: 3935.6s
STEP [13980], EPOCH [9/100], ITER [652/1666] 
LOSS: 0.00100789, TIME: 3942.9s
STEP [14000], EPOCH [9/100], ITER [672/1666] 
LOSS: 0.00132571, TIME: 3950.2s
STEP [14020], EPOCH [9/100], ITER [692/1666] 
LOSS: 0.00100269, TIME: 3957.6s
STEP [14040], EPOCH [9/100], ITER [712/1666] 
LOSS: 0.00098118, TIME: 3964.9s
STEP [14060], EPOCH [9/100], ITER [732/1666] 
LOSS: 0.00131940, TIME: 3972.2s
STEP [14080], EPOCH [9/100], ITER [752/1666] 
LOSS: 0.00100184, TIME: 3979.5s
STEP [14100], EPOCH [9/100], ITER [772/1666] 
LOSS: 0.00086393, TIME: 3986.8s
STEP [14120], EPOCH [9/100], ITER [792/1666] 
LOSS: 0.00102032, TIME: 3994.1s
STEP [14140], EPOCH [9/100], ITER [812/1666] 
LOSS: 0.00120205, TIME: 4001.4s
STEP [14160], EPOCH [9/100], ITER [832/1666] 
LOSS: 0.00170542, TIME: 4008.7s
STEP [14180], EPOCH [9/100], ITER [852/1666] 
LOSS: 0.00097679, TIME: 4016.1s
STEP [14200], EPOCH [9/100], ITER [872/1666] 
LOSS: 0.00105287, TIME: 4023.4s
STEP [14220], EPOCH [9/100], ITER [892/1666] 
LOSS: 0.00095812, TIME: 4030.7s
STEP [14240], EPOCH [9/100], ITER [912/1666] 
LOSS: 0.00109781, TIME: 4038.0s
STEP [14260], EPOCH [9/100], ITER [932/1666] 
LOSS: 0.00130883, TIME: 4045.3s
STEP [14280], EPOCH [9/100], ITER [952/1666] 
LOSS: 0.00122848, TIME: 4052.7s
STEP [14300], EPOCH [9/100], ITER [972/1666] 
LOSS: 0.00081531, TIME: 4059.9s
STEP [14320], EPOCH [9/100], ITER [992/1666] 
LOSS: 0.00071590, TIME: 4067.2s
STEP [14340], EPOCH [9/100], ITER [1012/1666] 
LOSS: 0.00061805, TIME: 4074.6s
STEP [14360], EPOCH [9/100], ITER [1032/1666] 
LOSS: 0.00127534, TIME: 4081.9s
STEP [14380], EPOCH [9/100], ITER [1052/1666] 
LOSS: 0.00169291, TIME: 4089.2s
STEP [14400], EPOCH [9/100], ITER [1072/1666] 
LOSS: 0.00082626, TIME: 4096.5s
STEP [14420], EPOCH [9/100], ITER [1092/1666] 
LOSS: 0.00091201, TIME: 4103.8s
STEP [14440], EPOCH [9/100], ITER [1112/1666] 
LOSS: 0.00100225, TIME: 4111.2s
STEP [14460], EPOCH [9/100], ITER [1132/1666] 
LOSS: 0.00099845, TIME: 4118.5s
STEP [14480], EPOCH [9/100], ITER [1152/1666] 
LOSS: 0.00079409, TIME: 4125.8s
STEP [14500], EPOCH [9/100], ITER [1172/1666] 
LOSS: 0.00087403, TIME: 4133.1s
STEP [14520], EPOCH [9/100], ITER [1192/1666] 
LOSS: 0.00149350, TIME: 4140.4s
STEP [14540], EPOCH [9/100], ITER [1212/1666] 
LOSS: 0.00062783, TIME: 4147.8s
STEP [14560], EPOCH [9/100], ITER [1232/1666] 
LOSS: 0.00093415, TIME: 4155.1s
STEP [14580], EPOCH [9/100], ITER [1252/1666] 
LOSS: 0.00083006, TIME: 4162.4s
STEP [14600], EPOCH [9/100], ITER [1272/1666] 
LOSS: 0.00156357, TIME: 4169.7s
STEP [14620], EPOCH [9/100], ITER [1292/1666] 
LOSS: 0.00108060, TIME: 4177.0s
STEP [14640], EPOCH [9/100], ITER [1312/1666] 
LOSS: 0.00116508, TIME: 4184.4s
STEP [14660], EPOCH [9/100], ITER [1332/1666] 
LOSS: 0.00089811, TIME: 4191.7s
STEP [14680], EPOCH [9/100], ITER [1352/1666] 
LOSS: 0.00065928, TIME: 4199.0s
STEP [14700], EPOCH [9/100], ITER [1372/1666] 
LOSS: 0.00117849, TIME: 4206.3s
STEP [14720], EPOCH [9/100], ITER [1392/1666] 
LOSS: 0.00079462, TIME: 4213.7s
STEP [14740], EPOCH [9/100], ITER [1412/1666] 
LOSS: 0.00107252, TIME: 4220.9s
STEP [14760], EPOCH [9/100], ITER [1432/1666] 
LOSS: 0.00119404, TIME: 4228.3s
STEP [14780], EPOCH [9/100], ITER [1452/1666] 
LOSS: 0.00098409, TIME: 4235.6s
STEP [14800], EPOCH [9/100], ITER [1472/1666] 
LOSS: 0.00079947, TIME: 4242.9s
STEP [14820], EPOCH [9/100], ITER [1492/1666] 
LOSS: 0.00117230, TIME: 4250.3s
STEP [14840], EPOCH [9/100], ITER [1512/1666] 
LOSS: 0.00093139, TIME: 4257.6s
STEP [14860], EPOCH [9/100], ITER [1532/1666] 
LOSS: 0.00098478, TIME: 4264.9s
STEP [14880], EPOCH [9/100], ITER [1552/1666] 
LOSS: 0.00088314, TIME: 4272.2s
STEP [14900], EPOCH [9/100], ITER [1572/1666] 
LOSS: 0.00061874, TIME: 4279.5s
STEP [14920], EPOCH [9/100], ITER [1592/1666] 
LOSS: 0.00119519, TIME: 4286.9s
STEP [14940], EPOCH [9/100], ITER [1612/1666] 
LOSS: 0.00062904, TIME: 4294.1s
STEP [14960], EPOCH [9/100], ITER [1632/1666] 
LOSS: 0.00089992, TIME: 4301.5s
STEP [14980], EPOCH [9/100], ITER [1652/1666] 
LOSS: 0.00074452, TIME: 4308.8s
STEP [15000], EPOCH [10/100], ITER [6/1666] 
LOSS: 0.00141655, TIME: 4324.3s
STEP [15020], EPOCH [10/100], ITER [26/1666] 
LOSS: 0.00057171, TIME: 4331.7s
STEP [15040], EPOCH [10/100], ITER [46/1666] 
LOSS: 0.00155482, TIME: 4339.0s
STEP [15060], EPOCH [10/100], ITER [66/1666] 
LOSS: 0.00078040, TIME: 4346.3s
STEP [15080], EPOCH [10/100], ITER [86/1666] 
LOSS: 0.00065739, TIME: 4353.6s
STEP [15100], EPOCH [10/100], ITER [106/1666] 
LOSS: 0.00080989, TIME: 4360.9s
STEP [15120], EPOCH [10/100], ITER [126/1666] 
LOSS: 0.00082082, TIME: 4364.8s
STEP [15140], EPOCH [10/100], ITER [146/1666] 
LOSS: 0.00104262, TIME: 4371.2s
STEP [15160], EPOCH [10/100], ITER [166/1666] 
LOSS: 0.00187220, TIME: 4378.5s
STEP [15180], EPOCH [10/100], ITER [186/1666] 
LOSS: 0.00080758, TIME: 4385.8s
STEP [15200], EPOCH [10/100], ITER [206/1666] 
LOSS: 0.00073142, TIME: 4393.1s
STEP [15220], EPOCH [10/100], ITER [226/1666] 
LOSS: 0.00097954, TIME: 4400.5s
STEP [15240], EPOCH [10/100], ITER [246/1666] 
LOSS: 0.00068305, TIME: 4407.8s
STEP [15260], EPOCH [10/100], ITER [266/1666] 
LOSS: 0.00114820, TIME: 4415.1s
STEP [15280], EPOCH [10/100], ITER [286/1666] 
LOSS: 0.00078109, TIME: 4422.4s
STEP [15300], EPOCH [10/100], ITER [306/1666] 
LOSS: 0.00149162, TIME: 4429.8s
STEP [15320], EPOCH [10/100], ITER [326/1666] 
LOSS: 0.00082514, TIME: 4437.1s
STEP [15340], EPOCH [10/100], ITER [346/1666] 
LOSS: 0.00129728, TIME: 4444.4s
STEP [15360], EPOCH [10/100], ITER [366/1666] 
LOSS: 0.00123844, TIME: 4451.8s
STEP [15380], EPOCH [10/100], ITER [386/1666] 
LOSS: 0.00106368, TIME: 4459.1s
STEP [15400], EPOCH [10/100], ITER [406/1666] 
LOSS: 0.00088043, TIME: 4466.4s
STEP [15420], EPOCH [10/100], ITER [426/1666] 
LOSS: 0.00107247, TIME: 4473.7s
STEP [15440], EPOCH [10/100], ITER [446/1666] 
LOSS: 0.00114530, TIME: 4481.0s
STEP [15460], EPOCH [10/100], ITER [466/1666] 
LOSS: 0.00081512, TIME: 4488.4s
STEP [15480], EPOCH [10/100], ITER [486/1666] 
LOSS: 0.00130500, TIME: 4495.7s
STEP [15500], EPOCH [10/100], ITER [506/1666] 
LOSS: 0.00083206, TIME: 4503.0s
STEP [15520], EPOCH [10/100], ITER [526/1666] 
LOSS: 0.00174622, TIME: 4510.3s
STEP [15540], EPOCH [10/100], ITER [546/1666] 
LOSS: 0.00073092, TIME: 4517.6s
STEP [15560], EPOCH [10/100], ITER [566/1666] 
LOSS: 0.00133594, TIME: 4525.0s
STEP [15580], EPOCH [10/100], ITER [586/1666] 
LOSS: 0.00065742, TIME: 4532.3s
STEP [15600], EPOCH [10/100], ITER [606/1666] 
LOSS: 0.00122403, TIME: 4539.6s
STEP [15620], EPOCH [10/100], ITER [626/1666] 
LOSS: 0.00077371, TIME: 4546.9s
STEP [15640], EPOCH [10/100], ITER [646/1666] 
LOSS: 0.00109800, TIME: 4554.3s
STEP [15660], EPOCH [10/100], ITER [666/1666] 
LOSS: 0.00145625, TIME: 4561.6s
STEP [15680], EPOCH [10/100], ITER [686/1666] 
LOSS: 0.00109235, TIME: 4568.9s
STEP [15700], EPOCH [10/100], ITER [706/1666] 
LOSS: 0.00094415, TIME: 4576.2s
STEP [15720], EPOCH [10/100], ITER [726/1666] 
LOSS: 0.00142262, TIME: 4583.5s
STEP [15740], EPOCH [10/100], ITER [746/1666] 
LOSS: 0.00063656, TIME: 4590.9s
STEP [15760], EPOCH [10/100], ITER [766/1666] 
LOSS: 0.00101703, TIME: 4598.2s
STEP [15780], EPOCH [10/100], ITER [786/1666] 
LOSS: 0.00095189, TIME: 4605.4s
STEP [15800], EPOCH [10/100], ITER [806/1666] 
LOSS: 0.00108774, TIME: 4612.8s
STEP [15820], EPOCH [10/100], ITER [826/1666] 
LOSS: 0.00086859, TIME: 4620.1s
STEP [15840], EPOCH [10/100], ITER [846/1666] 
LOSS: 0.00099321, TIME: 4627.4s
STEP [15860], EPOCH [10/100], ITER [866/1666] 
LOSS: 0.00092170, TIME: 4634.7s
STEP [15880], EPOCH [10/100], ITER [886/1666] 
LOSS: 0.00090745, TIME: 4642.1s
STEP [15900], EPOCH [10/100], ITER [906/1666] 
LOSS: 0.00077948, TIME: 4649.4s
STEP [15920], EPOCH [10/100], ITER [926/1666] 
LOSS: 0.00118741, TIME: 4656.7s
STEP [15940], EPOCH [10/100], ITER [946/1666] 
LOSS: 0.00197232, TIME: 4664.0s
STEP [15960], EPOCH [10/100], ITER [966/1666] 
LOSS: 0.00093655, TIME: 4671.3s
STEP [15980], EPOCH [10/100], ITER [986/1666] 
LOSS: 0.00092257, TIME: 4678.7s
STEP [16000], EPOCH [10/100], ITER [1006/1666] 
LOSS: 0.00087686, TIME: 4685.9s
STEP [16020], EPOCH [10/100], ITER [1026/1666] 
LOSS: 0.00114010, TIME: 4693.3s
STEP [16040], EPOCH [10/100], ITER [1046/1666] 
LOSS: 0.00071336, TIME: 4700.6s
STEP [16060], EPOCH [10/100], ITER [1066/1666] 
LOSS: 0.00078270, TIME: 4707.9s
STEP [16080], EPOCH [10/100], ITER [1086/1666] 
LOSS: 0.00146533, TIME: 4715.2s
STEP [16100], EPOCH [10/100], ITER [1106/1666] 
LOSS: 0.00076143, TIME: 4722.6s
STEP [16120], EPOCH [10/100], ITER [1126/1666] 
LOSS: 0.00090776, TIME: 4729.9s
STEP [16140], EPOCH [10/100], ITER [1146/1666] 
LOSS: 0.00123883, TIME: 4737.2s
STEP [16160], EPOCH [10/100], ITER [1166/1666] 
LOSS: 0.00149704, TIME: 4744.5s
STEP [16180], EPOCH [10/100], ITER [1186/1666] 
LOSS: 0.00115574, TIME: 4751.8s
STEP [16200], EPOCH [10/100], ITER [1206/1666] 
LOSS: 0.00115541, TIME: 4759.1s
STEP [16220], EPOCH [10/100], ITER [1226/1666] 
LOSS: 0.00117259, TIME: 4766.4s
STEP [16240], EPOCH [10/100], ITER [1246/1666] 
LOSS: 0.00079706, TIME: 4773.7s
STEP [16260], EPOCH [10/100], ITER [1266/1666] 
LOSS: 0.00089821, TIME: 4781.0s
STEP [16280], EPOCH [10/100], ITER [1286/1666] 
LOSS: 0.00157960, TIME: 4788.4s
STEP [16300], EPOCH [10/100], ITER [1306/1666] 
LOSS: 0.00105484, TIME: 4795.7s
STEP [16320], EPOCH [10/100], ITER [1326/1666] 
LOSS: 0.00059290, TIME: 4803.0s
STEP [16340], EPOCH [10/100], ITER [1346/1666] 
LOSS: 0.00108542, TIME: 4810.4s
STEP [16360], EPOCH [10/100], ITER [1366/1666] 
LOSS: 0.00062269, TIME: 4817.7s
STEP [16380], EPOCH [10/100], ITER [1386/1666] 
LOSS: 0.00094002, TIME: 4825.0s
STEP [16400], EPOCH [10/100], ITER [1406/1666] 
LOSS: 0.00053093, TIME: 4832.3s
STEP [16420], EPOCH [10/100], ITER [1426/1666] 
LOSS: 0.00200571, TIME: 4839.6s
STEP [16440], EPOCH [10/100], ITER [1446/1666] 
LOSS: 0.00084915, TIME: 4846.9s
STEP [16460], EPOCH [10/100], ITER [1466/1666] 
LOSS: 0.00090551, TIME: 4854.2s
STEP [16480], EPOCH [10/100], ITER [1486/1666] 
LOSS: 0.00154126, TIME: 4861.5s
STEP [16500], EPOCH [10/100], ITER [1506/1666] 
LOSS: 0.00090080, TIME: 4868.9s
STEP [16520], EPOCH [10/100], ITER [1526/1666] 
LOSS: 0.00081080, TIME: 4876.2s
STEP [16540], EPOCH [10/100], ITER [1546/1666] 
LOSS: 0.00101446, TIME: 4883.5s
STEP [16560], EPOCH [10/100], ITER [1566/1666] 
LOSS: 0.00064784, TIME: 4890.8s
STEP [16580], EPOCH [10/100], ITER [1586/1666] 
LOSS: 0.00079985, TIME: 4898.1s
STEP [16600], EPOCH [10/100], ITER [1606/1666] 
LOSS: 0.00084720, TIME: 4905.4s
STEP [16620], EPOCH [10/100], ITER [1626/1666] 
LOSS: 0.00104693, TIME: 4912.8s
STEP [16640], EPOCH [10/100], ITER [1646/1666] 
LOSS: 0.00093357, TIME: 4920.0s
STEP [16660], EPOCH [10/100], ITER [1666/1666] 
LOSS: 0.00070238, TIME: 4927.2s
STEP [16680], EPOCH [11/100], ITER [20/1666] 
LOSS: 0.00104153, TIME: 4942.9s
STEP [16700], EPOCH [11/100], ITER [40/1666] 
LOSS: 0.00069507, TIME: 4950.2s
STEP [16720], EPOCH [11/100], ITER [60/1666] 
LOSS: 0.00080309, TIME: 4957.5s
STEP [16740], EPOCH [11/100], ITER [80/1666] 
LOSS: 0.00074879, TIME: 4964.8s
STEP [16760], EPOCH [11/100], ITER [100/1666] 
LOSS: 0.00144552, TIME: 4972.2s
STEP [16780], EPOCH [11/100], ITER [120/1666] 
LOSS: 0.00079815, TIME: 4979.5s
STEP [16800], EPOCH [11/100], ITER [140/1666] 
LOSS: 0.00102090, TIME: 4986.8s
STEP [16820], EPOCH [11/100], ITER [160/1666] 
LOSS: 0.00124093, TIME: 4994.1s
STEP [16840], EPOCH [11/100], ITER [180/1666] 
LOSS: 0.00115984, TIME: 5001.4s
STEP [16860], EPOCH [11/100], ITER [200/1666] 
LOSS: 0.00079394, TIME: 5008.7s
STEP [16880], EPOCH [11/100], ITER [220/1666] 
LOSS: 0.00063440, TIME: 5016.0s
STEP [16900], EPOCH [11/100], ITER [240/1666] 
LOSS: 0.00110655, TIME: 5023.3s
STEP [16920], EPOCH [11/100], ITER [260/1666] 
LOSS: 0.00085292, TIME: 5030.7s
STEP [16940], EPOCH [11/100], ITER [280/1666] 
LOSS: 0.00101217, TIME: 5038.0s
STEP [16960], EPOCH [11/100], ITER [300/1666] 
LOSS: 0.00080080, TIME: 5045.3s
STEP [16980], EPOCH [11/100], ITER [320/1666] 
LOSS: 0.00094587, TIME: 5052.6s
STEP [17000], EPOCH [11/100], ITER [340/1666] 
LOSS: 0.00112460, TIME: 5059.9s
STEP [17020], EPOCH [11/100], ITER [360/1666] 
LOSS: 0.00106396, TIME: 5067.2s
STEP [17040], EPOCH [11/100], ITER [380/1666] 
LOSS: 0.00104019, TIME: 5074.6s
STEP [17060], EPOCH [11/100], ITER [400/1666] 
LOSS: 0.00146773, TIME: 5081.9s
STEP [17080], EPOCH [11/100], ITER [420/1666] 
LOSS: 0.00104916, TIME: 5089.2s
STEP [17100], EPOCH [11/100], ITER [440/1666] 
LOSS: 0.00090510, TIME: 5096.5s
STEP [17120], EPOCH [11/100], ITER [460/1666] 
LOSS: 0.00066541, TIME: 5103.8s
STEP [17140], EPOCH [11/100], ITER [480/1666] 
LOSS: 0.00052718, TIME: 5111.2s
STEP [17160], EPOCH [11/100], ITER [500/1666] 
LOSS: 0.00079728, TIME: 5118.5s
STEP [17180], EPOCH [11/100], ITER [520/1666] 
LOSS: 0.00058192, TIME: 5125.8s
STEP [17200], EPOCH [11/100], ITER [540/1666] 
LOSS: 0.00158727, TIME: 5133.1s
STEP [17220], EPOCH [11/100], ITER [560/1666] 
LOSS: 0.00121891, TIME: 5140.4s
STEP [17240], EPOCH [11/100], ITER [580/1666] 
LOSS: 0.00068674, TIME: 5147.7s
STEP [17260], EPOCH [11/100], ITER [600/1666] 
LOSS: 0.00099310, TIME: 5155.0s
STEP [17280], EPOCH [11/100], ITER [620/1666] 
LOSS: 0.00101420, TIME: 5162.4s
STEP [17300], EPOCH [11/100], ITER [640/1666] 
LOSS: 0.00107560, TIME: 5169.7s
STEP [17320], EPOCH [11/100], ITER [660/1666] 
LOSS: 0.00088304, TIME: 5177.0s
STEP [17340], EPOCH [11/100], ITER [680/1666] 
LOSS: 0.00102342, TIME: 5184.3s
STEP [17360], EPOCH [11/100], ITER [700/1666] 
LOSS: 0.00066017, TIME: 5191.7s
STEP [17380], EPOCH [11/100], ITER [720/1666] 
LOSS: 0.00067127, TIME: 5199.0s
STEP [17400], EPOCH [11/100], ITER [740/1666] 
LOSS: 0.00123151, TIME: 5206.3s
STEP [17420], EPOCH [11/100], ITER [760/1666] 
LOSS: 0.00144659, TIME: 5213.6s
STEP [17440], EPOCH [11/100], ITER [780/1666] 
LOSS: 0.00064246, TIME: 5220.9s
STEP [17460], EPOCH [11/100], ITER [800/1666] 
LOSS: 0.00059294, TIME: 5228.2s
STEP [17480], EPOCH [11/100], ITER [820/1666] 
LOSS: 0.00098119, TIME: 5235.5s
STEP [17500], EPOCH [11/100], ITER [840/1666] 
LOSS: 0.00094594, TIME: 5242.9s
STEP [17520], EPOCH [11/100], ITER [860/1666] 
LOSS: 0.00132738, TIME: 5250.2s
STEP [17540], EPOCH [11/100], ITER [880/1666] 
LOSS: 0.00129683, TIME: 5257.5s
STEP [17560], EPOCH [11/100], ITER [900/1666] 
LOSS: 0.00151920, TIME: 5264.8s
STEP [17580], EPOCH [11/100], ITER [920/1666] 
LOSS: 0.00143190, TIME: 5272.1s
STEP [17600], EPOCH [11/100], ITER [940/1666] 
LOSS: 0.00090373, TIME: 5279.5s
STEP [17620], EPOCH [11/100], ITER [960/1666] 
LOSS: 0.00110622, TIME: 5286.8s
STEP [17640], EPOCH [11/100], ITER [980/1666] 
LOSS: 0.00141615, TIME: 5294.1s
STEP [17660], EPOCH [11/100], ITER [1000/1666] 
LOSS: 0.00082209, TIME: 5301.5s
STEP [17680], EPOCH [11/100], ITER [1020/1666] 
LOSS: 0.00128504, TIME: 5308.7s
STEP [17700], EPOCH [11/100], ITER [1040/1666] 
LOSS: 0.00101417, TIME: 5316.1s
STEP [17720], EPOCH [11/100], ITER [1060/1666] 
LOSS: 0.00118034, TIME: 5323.4s
STEP [17740], EPOCH [11/100], ITER [1080/1666] 
LOSS: 0.00085328, TIME: 5330.7s
STEP [17760], EPOCH [11/100], ITER [1100/1666] 
LOSS: 0.00076103, TIME: 5338.0s
STEP [17780], EPOCH [11/100], ITER [1120/1666] 
LOSS: 0.00063424, TIME: 5345.3s
STEP [17800], EPOCH [11/100], ITER [1140/1666] 
LOSS: 0.00092621, TIME: 5352.6s
STEP [17820], EPOCH [11/100], ITER [1160/1666] 
LOSS: 0.00114811, TIME: 5360.0s
STEP [17840], EPOCH [11/100], ITER [1180/1666] 
LOSS: 0.00119823, TIME: 5367.3s
STEP [17860], EPOCH [11/100], ITER [1200/1666] 
LOSS: 0.00080925, TIME: 5374.6s
STEP [17880], EPOCH [11/100], ITER [1220/1666] 
LOSS: 0.00059135, TIME: 5381.8s
STEP [17900], EPOCH [11/100], ITER [1240/1666] 
LOSS: 0.00098612, TIME: 5389.2s
STEP [17920], EPOCH [11/100], ITER [1260/1666] 
LOSS: 0.00119206, TIME: 5396.5s
STEP [17940], EPOCH [11/100], ITER [1280/1666] 
LOSS: 0.00156355, TIME: 5403.8s
STEP [17960], EPOCH [11/100], ITER [1300/1666] 
LOSS: 0.00096038, TIME: 5411.1s
STEP [17980], EPOCH [11/100], ITER [1320/1666] 
LOSS: 0.00112226, TIME: 5418.5s
STEP [18000], EPOCH [11/100], ITER [1340/1666] 
LOSS: 0.00087290, TIME: 5425.8s
STEP [18020], EPOCH [11/100], ITER [1360/1666] 
LOSS: 0.00105167, TIME: 5433.1s
STEP [18040], EPOCH [11/100], ITER [1380/1666] 
LOSS: 0.00114683, TIME: 5440.5s
STEP [18060], EPOCH [11/100], ITER [1400/1666] 
LOSS: 0.00122265, TIME: 5447.8s
STEP [18080], EPOCH [11/100], ITER [1420/1666] 
LOSS: 0.00098993, TIME: 5455.1s
STEP [18100], EPOCH [11/100], ITER [1440/1666] 
LOSS: 0.00110703, TIME: 5462.4s
STEP [18120], EPOCH [11/100], ITER [1460/1666] 
LOSS: 0.00077665, TIME: 5469.7s
STEP [18140], EPOCH [11/100], ITER [1480/1666] 
LOSS: 0.00127520, TIME: 5477.0s
STEP [18160], EPOCH [11/100], ITER [1500/1666] 
LOSS: 0.00109982, TIME: 5484.4s
STEP [18180], EPOCH [11/100], ITER [1520/1666] 
LOSS: 0.00166119, TIME: 5491.7s
STEP [18200], EPOCH [11/100], ITER [1540/1666] 
LOSS: 0.00095743, TIME: 5499.0s
STEP [18220], EPOCH [11/100], ITER [1560/1666] 
LOSS: 0.00061035, TIME: 5506.3s
STEP [18240], EPOCH [11/100], ITER [1580/1666] 
LOSS: 0.00146844, TIME: 5513.6s
STEP [18260], EPOCH [11/100], ITER [1600/1666] 
LOSS: 0.00029423, TIME: 5521.0s
STEP [18280], EPOCH [11/100], ITER [1620/1666] 
LOSS: 0.00090997, TIME: 5528.3s
STEP [18300], EPOCH [11/100], ITER [1640/1666] 
LOSS: 0.00064936, TIME: 5535.6s
STEP [18320], EPOCH [11/100], ITER [1660/1666] 
LOSS: 0.00068089, TIME: 5542.9s
STEP [18340], EPOCH [12/100], ITER [14/1666] 
LOSS: 0.00070020, TIME: 5558.8s
STEP [18360], EPOCH [12/100], ITER [34/1666] 
LOSS: 0.00064401, TIME: 5566.1s
STEP [18380], EPOCH [12/100], ITER [54/1666] 
LOSS: 0.00102412, TIME: 5573.5s
STEP [18400], EPOCH [12/100], ITER [74/1666] 
LOSS: 0.00088432, TIME: 5580.8s
STEP [18420], EPOCH [12/100], ITER [94/1666] 
LOSS: 0.00154702, TIME: 5588.1s
STEP [18440], EPOCH [12/100], ITER [114/1666] 
LOSS: 0.00085464, TIME: 5595.4s
STEP [18460], EPOCH [12/100], ITER [134/1666] 
LOSS: 0.00101292, TIME: 5602.7s
STEP [18480], EPOCH [12/100], ITER [154/1666] 
LOSS: 0.00082623, TIME: 5610.0s
STEP [18500], EPOCH [12/100], ITER [174/1666] 
LOSS: 0.00148754, TIME: 5617.3s
STEP [18520], EPOCH [12/100], ITER [194/1666] 
LOSS: 0.00123479, TIME: 5624.7s
STEP [18540], EPOCH [12/100], ITER [214/1666] 
LOSS: 0.00087035, TIME: 5632.0s
STEP [18560], EPOCH [12/100], ITER [234/1666] 
LOSS: 0.00105133, TIME: 5639.3s
STEP [18580], EPOCH [12/100], ITER [254/1666] 
LOSS: 0.00116460, TIME: 5646.6s
STEP [18600], EPOCH [12/100], ITER [274/1666] 
LOSS: 0.00091896, TIME: 5653.9s
STEP [18620], EPOCH [12/100], ITER [294/1666] 
LOSS: 0.00122808, TIME: 5661.3s
STEP [18640], EPOCH [12/100], ITER [314/1666] 
LOSS: 0.00106600, TIME: 5668.6s
STEP [18660], EPOCH [12/100], ITER [334/1666] 
LOSS: 0.00104546, TIME: 5675.9s
STEP [18680], EPOCH [12/100], ITER [354/1666] 
LOSS: 0.00090698, TIME: 5683.2s
STEP [18700], EPOCH [12/100], ITER [374/1666] 
LOSS: 0.00076888, TIME: 5690.5s
STEP [18720], EPOCH [12/100], ITER [394/1666] 
LOSS: 0.00089761, TIME: 5697.8s
STEP [18740], EPOCH [12/100], ITER [414/1666] 
LOSS: 0.00117816, TIME: 5705.1s
STEP [18760], EPOCH [12/100], ITER [434/1666] 
LOSS: 0.00063854, TIME: 5712.5s
STEP [18780], EPOCH [12/100], ITER [454/1666] 
LOSS: 0.00156157, TIME: 5719.8s
STEP [18800], EPOCH [12/100], ITER [474/1666] 
LOSS: 0.00078337, TIME: 5727.1s
STEP [18820], EPOCH [12/100], ITER [494/1666] 
LOSS: 0.00080781, TIME: 5734.4s
STEP [18840], EPOCH [12/100], ITER [514/1666] 
LOSS: 0.00159753, TIME: 5741.7s
STEP [18860], EPOCH [12/100], ITER [534/1666] 
LOSS: 0.00071483, TIME: 5749.1s
STEP [18880], EPOCH [12/100], ITER [554/1666] 
LOSS: 0.00127466, TIME: 5756.4s
STEP [18900], EPOCH [12/100], ITER [574/1666] 
LOSS: 0.00078872, TIME: 5763.7s
STEP [18920], EPOCH [12/100], ITER [594/1666] 
LOSS: 0.00102373, TIME: 5771.0s
STEP [18940], EPOCH [12/100], ITER [614/1666] 
LOSS: 0.00040437, TIME: 5778.3s
STEP [18960], EPOCH [12/100], ITER [634/1666] 
LOSS: 0.00067370, TIME: 5785.6s
STEP [18980], EPOCH [12/100], ITER [654/1666] 
LOSS: 0.00112347, TIME: 5792.9s
STEP [19000], EPOCH [12/100], ITER [674/1666] 
LOSS: 0.00097637, TIME: 5800.2s
STEP [19020], EPOCH [12/100], ITER [694/1666] 
LOSS: 0.00074943, TIME: 5807.6s
STEP [19040], EPOCH [12/100], ITER [714/1666] 
LOSS: 0.00155951, TIME: 5814.9s
STEP [19060], EPOCH [12/100], ITER [734/1666] 
LOSS: 0.00091627, TIME: 5822.2s
STEP [19080], EPOCH [12/100], ITER [754/1666] 
LOSS: 0.00063920, TIME: 5829.6s
STEP [19100], EPOCH [12/100], ITER [774/1666] 
LOSS: 0.00094538, TIME: 5836.9s
STEP [19120], EPOCH [12/100], ITER [794/1666] 
LOSS: 0.00116591, TIME: 5844.2s
STEP [19140], EPOCH [12/100], ITER [814/1666] 
LOSS: 0.00088645, TIME: 5851.5s
STEP [19160], EPOCH [12/100], ITER [834/1666] 
LOSS: 0.00237862, TIME: 5858.8s
STEP [19180], EPOCH [12/100], ITER [854/1666] 
LOSS: 0.00095118, TIME: 5866.2s
STEP [19200], EPOCH [12/100], ITER [874/1666] 
LOSS: 0.00140798, TIME: 5873.5s
STEP [19220], EPOCH [12/100], ITER [894/1666] 
LOSS: 0.00083922, TIME: 5880.8s
STEP [19240], EPOCH [12/100], ITER [914/1666] 
LOSS: 0.00074747, TIME: 5888.1s
STEP [19260], EPOCH [12/100], ITER [934/1666] 
LOSS: 0.00104205, TIME: 5895.4s
STEP [19280], EPOCH [12/100], ITER [954/1666] 
LOSS: 0.00101133, TIME: 5902.7s
STEP [19300], EPOCH [12/100], ITER [974/1666] 
LOSS: 0.00094378, TIME: 5910.1s
STEP [19320], EPOCH [12/100], ITER [994/1666] 
LOSS: 0.00072167, TIME: 5917.4s
STEP [19340], EPOCH [12/100], ITER [1014/1666] 
LOSS: 0.00146763, TIME: 5923.3s
STEP [19360], EPOCH [12/100], ITER [1034/1666] 
LOSS: 0.00120500, TIME: 5927.7s
STEP [19380], EPOCH [12/100], ITER [1054/1666] 
LOSS: 0.00074808, TIME: 5935.1s
STEP [19400], EPOCH [12/100], ITER [1074/1666] 
LOSS: 0.00127466, TIME: 5942.4s
STEP [19420], EPOCH [12/100], ITER [1094/1666] 
LOSS: 0.00083814, TIME: 5949.7s
STEP [19440], EPOCH [12/100], ITER [1114/1666] 
LOSS: 0.00096451, TIME: 5957.0s
STEP [19460], EPOCH [12/100], ITER [1134/1666] 
LOSS: 0.00128069, TIME: 5964.4s
STEP [19480], EPOCH [12/100], ITER [1154/1666] 
LOSS: 0.00136886, TIME: 5971.7s
STEP [19500], EPOCH [12/100], ITER [1174/1666] 
LOSS: 0.00066480, TIME: 5979.0s
STEP [19520], EPOCH [12/100], ITER [1194/1666] 
LOSS: 0.00080701, TIME: 5986.4s
STEP [19540], EPOCH [12/100], ITER [1214/1666] 
LOSS: 0.00080136, TIME: 5993.7s
STEP [19560], EPOCH [12/100], ITER [1234/1666] 
LOSS: 0.00109868, TIME: 6001.0s
STEP [19580], EPOCH [12/100], ITER [1254/1666] 
LOSS: 0.00083954, TIME: 6008.4s
STEP [19600], EPOCH [12/100], ITER [1274/1666] 
LOSS: 0.00112393, TIME: 6015.7s
STEP [19620], EPOCH [12/100], ITER [1294/1666] 
LOSS: 0.00081382, TIME: 6023.0s
STEP [19640], EPOCH [12/100], ITER [1314/1666] 
LOSS: 0.00117829, TIME: 6030.3s
STEP [19660], EPOCH [12/100], ITER [1334/1666] 
LOSS: 0.00101309, TIME: 6037.7s
STEP [19680], EPOCH [12/100], ITER [1354/1666] 
LOSS: 0.00098536, TIME: 6045.0s
STEP [19700], EPOCH [12/100], ITER [1374/1666] 
LOSS: 0.00083688, TIME: 6052.3s
STEP [19720], EPOCH [12/100], ITER [1394/1666] 
LOSS: 0.00145244, TIME: 6059.6s
STEP [19740], EPOCH [12/100], ITER [1414/1666] 
LOSS: 0.00158183, TIME: 6067.0s
STEP [19760], EPOCH [12/100], ITER [1434/1666] 
LOSS: 0.00066723, TIME: 6074.3s
STEP [19780], EPOCH [12/100], ITER [1454/1666] 
LOSS: 0.00071380, TIME: 6081.6s
STEP [19800], EPOCH [12/100], ITER [1474/1666] 
LOSS: 0.00096711, TIME: 6088.9s
STEP [19820], EPOCH [12/100], ITER [1494/1666] 
LOSS: 0.00139262, TIME: 6096.3s
STEP [19840], EPOCH [12/100], ITER [1514/1666] 
LOSS: 0.00085595, TIME: 6103.6s
STEP [19860], EPOCH [12/100], ITER [1534/1666] 
LOSS: 0.00101672, TIME: 6110.9s
STEP [19880], EPOCH [12/100], ITER [1554/1666] 
LOSS: 0.00061404, TIME: 6118.2s
STEP [19900], EPOCH [12/100], ITER [1574/1666] 
LOSS: 0.00097010, TIME: 6125.6s
STEP [19920], EPOCH [12/100], ITER [1594/1666] 
LOSS: 0.00076587, TIME: 6132.9s
STEP [19940], EPOCH [12/100], ITER [1614/1666] 
LOSS: 0.00084809, TIME: 6140.2s
STEP [19960], EPOCH [12/100], ITER [1634/1666] 
LOSS: 0.00123442, TIME: 6147.6s
STEP [19980], EPOCH [12/100], ITER [1654/1666] 
LOSS: 0.00062915, TIME: 6154.9s
STEP [20000], EPOCH [13/100], ITER [8/1666] 
LOSS: 0.00129770, TIME: 6170.5s
STEP [20020], EPOCH [13/100], ITER [28/1666] 
LOSS: 0.00133500, TIME: 6177.9s
STEP [20040], EPOCH [13/100], ITER [48/1666] 
LOSS: 0.00084072, TIME: 6185.2s
STEP [20060], EPOCH [13/100], ITER [68/1666] 
LOSS: 0.00109947, TIME: 6192.6s
STEP [20080], EPOCH [13/100], ITER [88/1666] 
LOSS: 0.00079969, TIME: 6199.9s
STEP [20100], EPOCH [13/100], ITER [108/1666] 
LOSS: 0.00095792, TIME: 6207.2s
STEP [20120], EPOCH [13/100], ITER [128/1666] 
LOSS: 0.00122105, TIME: 6214.5s
STEP [20140], EPOCH [13/100], ITER [148/1666] 
LOSS: 0.00143174, TIME: 6221.8s
STEP [20160], EPOCH [13/100], ITER [168/1666] 
LOSS: 0.00095322, TIME: 6229.2s
STEP [20180], EPOCH [13/100], ITER [188/1666] 
LOSS: 0.00093079, TIME: 6236.4s
STEP [20200], EPOCH [13/100], ITER [208/1666] 
LOSS: 0.00089918, TIME: 6243.8s
STEP [20220], EPOCH [13/100], ITER [228/1666] 
LOSS: 0.00057382, TIME: 6251.1s
STEP [20240], EPOCH [13/100], ITER [248/1666] 
LOSS: 0.00100085, TIME: 6258.4s
STEP [20260], EPOCH [13/100], ITER [268/1666] 
LOSS: 0.00087349, TIME: 6265.8s
STEP [20280], EPOCH [13/100], ITER [288/1666] 
LOSS: 0.00047148, TIME: 6273.1s
STEP [20300], EPOCH [13/100], ITER [308/1666] 
LOSS: 0.00095680, TIME: 6280.4s
STEP [20320], EPOCH [13/100], ITER [328/1666] 
LOSS: 0.00078980, TIME: 6287.8s
STEP [20340], EPOCH [13/100], ITER [348/1666] 
LOSS: 0.00116953, TIME: 6295.1s
STEP [20360], EPOCH [13/100], ITER [368/1666] 
LOSS: 0.00083520, TIME: 6302.4s
STEP [20380], EPOCH [13/100], ITER [388/1666] 
LOSS: 0.00172559, TIME: 6309.7s
STEP [20400], EPOCH [13/100], ITER [408/1666] 
LOSS: 0.00048629, TIME: 6317.0s
STEP [20420], EPOCH [13/100], ITER [428/1666] 
LOSS: 0.00073863, TIME: 6324.3s
STEP [20440], EPOCH [13/100], ITER [448/1666] 
LOSS: 0.00134071, TIME: 6331.6s
STEP [20460], EPOCH [13/100], ITER [468/1666] 
LOSS: 0.00091024, TIME: 6339.0s
STEP [20480], EPOCH [13/100], ITER [488/1666] 
LOSS: 0.00116520, TIME: 6346.3s
STEP [20500], EPOCH [13/100], ITER [508/1666] 
LOSS: 0.00063831, TIME: 6353.6s
STEP [20520], EPOCH [13/100], ITER [528/1666] 
LOSS: 0.00131660, TIME: 6361.0s
STEP [20540], EPOCH [13/100], ITER [548/1666] 
LOSS: 0.00062625, TIME: 6368.3s
STEP [20560], EPOCH [13/100], ITER [568/1666] 
LOSS: 0.00131572, TIME: 6375.6s
STEP [20580], EPOCH [13/100], ITER [588/1666] 
LOSS: 0.00064324, TIME: 6383.0s
STEP [20600], EPOCH [13/100], ITER [608/1666] 
LOSS: 0.00073299, TIME: 6390.2s
STEP [20620], EPOCH [13/100], ITER [628/1666] 
LOSS: 0.00107117, TIME: 6397.6s
STEP [20640], EPOCH [13/100], ITER [648/1666] 
LOSS: 0.00076831, TIME: 6404.9s
STEP [20660], EPOCH [13/100], ITER [668/1666] 
LOSS: 0.00082131, TIME: 6412.2s
STEP [20680], EPOCH [13/100], ITER [688/1666] 
LOSS: 0.00145888, TIME: 6419.5s
STEP [20700], EPOCH [13/100], ITER [708/1666] 
LOSS: 0.00140251, TIME: 6426.9s
STEP [20720], EPOCH [13/100], ITER [728/1666] 
LOSS: 0.00094291, TIME: 6434.2s
STEP [20740], EPOCH [13/100], ITER [748/1666] 
LOSS: 0.00061175, TIME: 6441.5s
STEP [20760], EPOCH [13/100], ITER [768/1666] 
LOSS: 0.00119130, TIME: 6448.8s
STEP [20780], EPOCH [13/100], ITER [788/1666] 
LOSS: 0.00101631, TIME: 6456.2s
STEP [20800], EPOCH [13/100], ITER [808/1666] 
LOSS: 0.00109434, TIME: 6463.5s
STEP [20820], EPOCH [13/100], ITER [828/1666] 
LOSS: 0.00087740, TIME: 6470.8s
STEP [20840], EPOCH [13/100], ITER [848/1666] 
LOSS: 0.00083405, TIME: 6478.1s
STEP [20860], EPOCH [13/100], ITER [868/1666] 
LOSS: 0.00122967, TIME: 6485.4s
STEP [20880], EPOCH [13/100], ITER [888/1666] 
LOSS: 0.00096713, TIME: 6492.7s
STEP [20900], EPOCH [13/100], ITER [908/1666] 
LOSS: 0.00106652, TIME: 6500.1s
STEP [20920], EPOCH [13/100], ITER [928/1666] 
LOSS: 0.00069072, TIME: 6507.4s
STEP [20940], EPOCH [13/100], ITER [948/1666] 
LOSS: 0.00094479, TIME: 6514.7s
STEP [20960], EPOCH [13/100], ITER [968/1666] 
LOSS: 0.00095487, TIME: 6522.0s
STEP [20980], EPOCH [13/100], ITER [988/1666] 
LOSS: 0.00128880, TIME: 6529.4s
STEP [21000], EPOCH [13/100], ITER [1008/1666] 
LOSS: 0.00132736, TIME: 6536.7s
STEP [21020], EPOCH [13/100], ITER [1028/1666] 
LOSS: 0.00077285, TIME: 6544.0s
STEP [21040], EPOCH [13/100], ITER [1048/1666] 
LOSS: 0.00104825, TIME: 6551.3s
STEP [21060], EPOCH [13/100], ITER [1068/1666] 
LOSS: 0.00135257, TIME: 6558.6s
STEP [21080], EPOCH [13/100], ITER [1088/1666] 
LOSS: 0.00089388, TIME: 6565.9s
STEP [21100], EPOCH [13/100], ITER [1108/1666] 
LOSS: 0.00088126, TIME: 6573.3s
STEP [21120], EPOCH [13/100], ITER [1128/1666] 
LOSS: 0.00097782, TIME: 6580.6s
STEP [21140], EPOCH [13/100], ITER [1148/1666] 
LOSS: 0.00139350, TIME: 6587.9s
STEP [21160], EPOCH [13/100], ITER [1168/1666] 
LOSS: 0.00120125, TIME: 6595.3s
STEP [21180], EPOCH [13/100], ITER [1188/1666] 
LOSS: 0.00106052, TIME: 6602.6s
STEP [21200], EPOCH [13/100], ITER [1208/1666] 
LOSS: 0.00093234, TIME: 6609.9s
STEP [21220], EPOCH [13/100], ITER [1228/1666] 
LOSS: 0.00078274, TIME: 6617.3s
STEP [21240], EPOCH [13/100], ITER [1248/1666] 
LOSS: 0.00079371, TIME: 6624.6s
STEP [21260], EPOCH [13/100], ITER [1268/1666] 
LOSS: 0.00095148, TIME: 6631.8s
STEP [21280], EPOCH [13/100], ITER [1288/1666] 
LOSS: 0.00083566, TIME: 6639.1s
STEP [21300], EPOCH [13/100], ITER [1308/1666] 
LOSS: 0.00095319, TIME: 6646.5s
STEP [21320], EPOCH [13/100], ITER [1328/1666] 
LOSS: 0.00104846, TIME: 6653.8s
STEP [21340], EPOCH [13/100], ITER [1348/1666] 
LOSS: 0.00176106, TIME: 6661.1s
STEP [21360], EPOCH [13/100], ITER [1368/1666] 
LOSS: 0.00069049, TIME: 6668.5s
STEP [21380], EPOCH [13/100], ITER [1388/1666] 
LOSS: 0.00102270, TIME: 6675.8s
STEP [21400], EPOCH [13/100], ITER [1408/1666] 
LOSS: 0.00099121, TIME: 6683.1s
STEP [21420], EPOCH [13/100], ITER [1428/1666] 
LOSS: 0.00063173, TIME: 6690.5s
STEP [21440], EPOCH [13/100], ITER [1448/1666] 
LOSS: 0.00102539, TIME: 6697.8s
STEP [21460], EPOCH [13/100], ITER [1468/1666] 
LOSS: 0.00098178, TIME: 6705.1s
STEP [21480], EPOCH [13/100], ITER [1488/1666] 
LOSS: 0.00083582, TIME: 6712.4s
STEP [21500], EPOCH [13/100], ITER [1508/1666] 
LOSS: 0.00091757, TIME: 6719.7s
STEP [21520], EPOCH [13/100], ITER [1528/1666] 
LOSS: 0.00095691, TIME: 6727.0s
STEP [21540], EPOCH [13/100], ITER [1548/1666] 
LOSS: 0.00090250, TIME: 6734.3s
STEP [21560], EPOCH [13/100], ITER [1568/1666] 
LOSS: 0.00096266, TIME: 6741.6s
STEP [21580], EPOCH [13/100], ITER [1588/1666] 
LOSS: 0.00088551, TIME: 6749.0s
STEP [21600], EPOCH [13/100], ITER [1608/1666] 
LOSS: 0.00118989, TIME: 6756.3s
STEP [21620], EPOCH [13/100], ITER [1628/1666] 
LOSS: 0.00068170, TIME: 6763.6s
STEP [21640], EPOCH [13/100], ITER [1648/1666] 
LOSS: 0.00070449, TIME: 6770.9s
STEP [21660], EPOCH [14/100], ITER [2/1666] 
LOSS: 0.00099876, TIME: 6786.9s
STEP [21680], EPOCH [14/100], ITER [22/1666] 
LOSS: 0.00108208, TIME: 6794.2s
STEP [21700], EPOCH [14/100], ITER [42/1666] 
LOSS: 0.00081251, TIME: 6801.6s
STEP [21720], EPOCH [14/100], ITER [62/1666] 
LOSS: 0.00097562, TIME: 6808.9s
STEP [21740], EPOCH [14/100], ITER [82/1666] 
LOSS: 0.00150640, TIME: 6816.2s
STEP [21760], EPOCH [14/100], ITER [102/1666] 
LOSS: 0.00083215, TIME: 6823.5s
STEP [21780], EPOCH [14/100], ITER [122/1666] 
LOSS: 0.00115682, TIME: 6830.9s
STEP [21800], EPOCH [14/100], ITER [142/1666] 
LOSS: 0.00109708, TIME: 6838.2s
STEP [21820], EPOCH [14/100], ITER [162/1666] 
LOSS: 0.00101401, TIME: 6845.5s
STEP [21840], EPOCH [14/100], ITER [182/1666] 
LOSS: 0.00061038, TIME: 6852.8s
STEP [21860], EPOCH [14/100], ITER [202/1666] 
LOSS: 0.00085526, TIME: 6860.1s
STEP [21880], EPOCH [14/100], ITER [222/1666] 
LOSS: 0.00060412, TIME: 6867.4s
STEP [21900], EPOCH [14/100], ITER [242/1666] 
LOSS: 0.00124191, TIME: 6874.8s
STEP [21920], EPOCH [14/100], ITER [262/1666] 
LOSS: 0.00102833, TIME: 6882.1s
STEP [21940], EPOCH [14/100], ITER [282/1666] 
LOSS: 0.00107617, TIME: 6889.4s
STEP [21960], EPOCH [14/100], ITER [302/1666] 
LOSS: 0.00074140, TIME: 6896.7s
STEP [21980], EPOCH [14/100], ITER [322/1666] 
LOSS: 0.00091938, TIME: 6904.1s
STEP [22000], EPOCH [14/100], ITER [342/1666] 
LOSS: 0.00095828, TIME: 6911.4s
STEP [22020], EPOCH [14/100], ITER [362/1666] 
LOSS: 0.00101543, TIME: 6918.8s
STEP [22040], EPOCH [14/100], ITER [382/1666] 
LOSS: 0.00085638, TIME: 6926.1s
STEP [22060], EPOCH [14/100], ITER [402/1666] 
LOSS: 0.00081054, TIME: 6933.4s
STEP [22080], EPOCH [14/100], ITER [422/1666] 
LOSS: 0.00078728, TIME: 6940.7s
STEP [22100], EPOCH [14/100], ITER [442/1666] 
LOSS: 0.00102784, TIME: 6948.0s
STEP [22120], EPOCH [14/100], ITER [462/1666] 
LOSS: 0.00080520, TIME: 6955.3s
STEP [22140], EPOCH [14/100], ITER [482/1666] 
LOSS: 0.00071962, TIME: 6962.7s
STEP [22160], EPOCH [14/100], ITER [502/1666] 
LOSS: 0.00088439, TIME: 6970.0s
STEP [22180], EPOCH [14/100], ITER [522/1666] 
LOSS: 0.00062536, TIME: 6977.3s
STEP [22200], EPOCH [14/100], ITER [542/1666] 
LOSS: 0.00074504, TIME: 6984.6s
STEP [22220], EPOCH [14/100], ITER [562/1666] 
LOSS: 0.00097315, TIME: 6991.9s
STEP [22240], EPOCH [14/100], ITER [582/1666] 
LOSS: 0.00128566, TIME: 6999.2s
STEP [22260], EPOCH [14/100], ITER [602/1666] 
LOSS: 0.00122422, TIME: 7006.6s
STEP [22280], EPOCH [14/100], ITER [622/1666] 
LOSS: 0.00077030, TIME: 7013.8s
STEP [22300], EPOCH [14/100], ITER [642/1666] 
LOSS: 0.00101913, TIME: 7021.1s
STEP [22320], EPOCH [14/100], ITER [662/1666] 
LOSS: 0.00099130, TIME: 7028.5s
STEP [22340], EPOCH [14/100], ITER [682/1666] 
LOSS: 0.00075881, TIME: 7035.8s
STEP [22360], EPOCH [14/100], ITER [702/1666] 
LOSS: 0.00067544, TIME: 7043.1s
STEP [22380], EPOCH [14/100], ITER [722/1666] 
LOSS: 0.00079512, TIME: 7050.4s
STEP [22400], EPOCH [14/100], ITER [742/1666] 
LOSS: 0.00104947, TIME: 7057.8s
STEP [22420], EPOCH [14/100], ITER [762/1666] 
LOSS: 0.00052601, TIME: 7065.1s
STEP [22440], EPOCH [14/100], ITER [782/1666] 
LOSS: 0.00123569, TIME: 7072.4s
STEP [22460], EPOCH [14/100], ITER [802/1666] 
LOSS: 0.00088885, TIME: 7079.8s
STEP [22480], EPOCH [14/100], ITER [822/1666] 
LOSS: 0.00132307, TIME: 7087.1s
STEP [22500], EPOCH [14/100], ITER [842/1666] 
LOSS: 0.00058173, TIME: 7094.4s
STEP [22520], EPOCH [14/100], ITER [862/1666] 
LOSS: 0.00090933, TIME: 7101.7s
STEP [22540], EPOCH [14/100], ITER [882/1666] 
LOSS: 0.00066266, TIME: 7109.0s
STEP [22560], EPOCH [14/100], ITER [902/1666] 
LOSS: 0.00137506, TIME: 7116.3s
STEP [22580], EPOCH [14/100], ITER [922/1666] 
LOSS: 0.00134168, TIME: 7123.6s
STEP [22600], EPOCH [14/100], ITER [942/1666] 
LOSS: 0.00071188, TIME: 7131.0s
STEP [22620], EPOCH [14/100], ITER [962/1666] 
LOSS: 0.00111280, TIME: 7138.3s
STEP [22640], EPOCH [14/100], ITER [982/1666] 
LOSS: 0.00117461, TIME: 7145.6s
STEP [22660], EPOCH [14/100], ITER [1002/1666] 
LOSS: 0.00062723, TIME: 7153.0s
STEP [22680], EPOCH [14/100], ITER [1022/1666] 
LOSS: 0.00106853, TIME: 7160.3s
STEP [22700], EPOCH [14/100], ITER [1042/1666] 
LOSS: 0.00117484, TIME: 7167.6s
STEP [22720], EPOCH [14/100], ITER [1062/1666] 
LOSS: 0.00114305, TIME: 7174.9s
STEP [22740], EPOCH [14/100], ITER [1082/1666] 
LOSS: 0.00134837, TIME: 7182.2s
STEP [22760], EPOCH [14/100], ITER [1102/1666] 
LOSS: 0.00082741, TIME: 7189.5s
STEP [22780], EPOCH [14/100], ITER [1122/1666] 
LOSS: 0.00088043, TIME: 7196.8s
STEP [22800], EPOCH [14/100], ITER [1142/1666] 
LOSS: 0.00058563, TIME: 7204.2s
STEP [22820], EPOCH [14/100], ITER [1162/1666] 
LOSS: 0.00054819, TIME: 7211.5s
STEP [22840], EPOCH [14/100], ITER [1182/1666] 
LOSS: 0.00066447, TIME: 7218.8s
STEP [22860], EPOCH [14/100], ITER [1202/1666] 
LOSS: 0.00104535, TIME: 7226.1s
STEP [22880], EPOCH [14/100], ITER [1222/1666] 
LOSS: 0.00156330, TIME: 7233.4s
STEP [22900], EPOCH [14/100], ITER [1242/1666] 
LOSS: 0.00105930, TIME: 7240.8s
STEP [22920], EPOCH [14/100], ITER [1262/1666] 
LOSS: 0.00130963, TIME: 7248.0s
STEP [22940], EPOCH [14/100], ITER [1282/1666] 
LOSS: 0.00083915, TIME: 7255.4s
STEP [22960], EPOCH [14/100], ITER [1302/1666] 
LOSS: 0.00099256, TIME: 7262.7s
STEP [22980], EPOCH [14/100], ITER [1322/1666] 
LOSS: 0.00095764, TIME: 7270.0s
STEP [23000], EPOCH [14/100], ITER [1342/1666] 
LOSS: 0.00087466, TIME: 7277.3s
STEP [23020], EPOCH [14/100], ITER [1362/1666] 
LOSS: 0.00084544, TIME: 7284.7s
STEP [23040], EPOCH [14/100], ITER [1382/1666] 
LOSS: 0.00060641, TIME: 7292.0s
STEP [23060], EPOCH [14/100], ITER [1402/1666] 
LOSS: 0.00102436, TIME: 7299.3s
STEP [23080], EPOCH [14/100], ITER [1422/1666] 
LOSS: 0.00076988, TIME: 7306.7s
STEP [23100], EPOCH [14/100], ITER [1442/1666] 
LOSS: 0.00061765, TIME: 7314.0s
STEP [23120], EPOCH [14/100], ITER [1462/1666] 
LOSS: 0.00061877, TIME: 7321.3s
STEP [23140], EPOCH [14/100], ITER [1482/1666] 
LOSS: 0.00101945, TIME: 7328.6s
STEP [23160], EPOCH [14/100], ITER [1502/1666] 
LOSS: 0.00111697, TIME: 7335.9s
STEP [23180], EPOCH [14/100], ITER [1522/1666] 
LOSS: 0.00140686, TIME: 7343.2s
STEP [23200], EPOCH [14/100], ITER [1542/1666] 
LOSS: 0.00127465, TIME: 7350.5s
STEP [23220], EPOCH [14/100], ITER [1562/1666] 
LOSS: 0.00109587, TIME: 7357.9s
STEP [23240], EPOCH [14/100], ITER [1582/1666] 
LOSS: 0.00122960, TIME: 7365.2s
STEP [23260], EPOCH [14/100], ITER [1602/1666] 
LOSS: 0.00090612, TIME: 7372.5s
STEP [23280], EPOCH [14/100], ITER [1622/1666] 
LOSS: 0.00111312, TIME: 7379.8s
STEP [23300], EPOCH [14/100], ITER [1642/1666] 
LOSS: 0.00098512, TIME: 7387.2s
STEP [23320], EPOCH [14/100], ITER [1662/1666] 
LOSS: 0.00089622, TIME: 7394.5s
STEP [23340], EPOCH [15/100], ITER [16/1666] 
LOSS: 0.00123810, TIME: 7410.1s
STEP [23360], EPOCH [15/100], ITER [36/1666] 
LOSS: 0.00101422, TIME: 7417.4s
STEP [23380], EPOCH [15/100], ITER [56/1666] 
LOSS: 0.00090357, TIME: 7424.7s
STEP [23400], EPOCH [15/100], ITER [76/1666] 
LOSS: 0.00074082, TIME: 7432.1s
STEP [23420], EPOCH [15/100], ITER [96/1666] 
LOSS: 0.00082099, TIME: 7439.4s
STEP [23440], EPOCH [15/100], ITER [116/1666] 
LOSS: 0.00095855, TIME: 7446.7s
STEP [23460], EPOCH [15/100], ITER [136/1666] 
LOSS: 0.00079176, TIME: 7454.0s
STEP [23480], EPOCH [15/100], ITER [156/1666] 
LOSS: 0.00068578, TIME: 7461.3s
STEP [23500], EPOCH [15/100], ITER [176/1666] 
LOSS: 0.00092412, TIME: 7468.7s
STEP [23520], EPOCH [15/100], ITER [196/1666] 
LOSS: 0.00156071, TIME: 7474.2s
STEP [23540], EPOCH [15/100], ITER [216/1666] 
LOSS: 0.00084587, TIME: 7478.9s
STEP [23560], EPOCH [15/100], ITER [236/1666] 
LOSS: 0.00093404, TIME: 7486.2s
STEP [23580], EPOCH [15/100], ITER [256/1666] 
LOSS: 0.00056268, TIME: 7493.5s
STEP [23600], EPOCH [15/100], ITER [276/1666] 
LOSS: 0.00110785, TIME: 7500.9s
STEP [23620], EPOCH [15/100], ITER [296/1666] 
LOSS: 0.00124958, TIME: 7508.2s
STEP [23640], EPOCH [15/100], ITER [316/1666] 
LOSS: 0.00082963, TIME: 7515.5s
STEP [23660], EPOCH [15/100], ITER [336/1666] 
LOSS: 0.00107813, TIME: 7522.8s
STEP [23680], EPOCH [15/100], ITER [356/1666] 
LOSS: 0.00156698, TIME: 7530.2s
STEP [23700], EPOCH [15/100], ITER [376/1666] 
LOSS: 0.00055044, TIME: 7537.5s
STEP [23720], EPOCH [15/100], ITER [396/1666] 
LOSS: 0.00115515, TIME: 7544.8s
STEP [23740], EPOCH [15/100], ITER [416/1666] 
LOSS: 0.00109815, TIME: 7552.2s
STEP [23760], EPOCH [15/100], ITER [436/1666] 
LOSS: 0.00115627, TIME: 7559.5s
STEP [23780], EPOCH [15/100], ITER [456/1666] 
LOSS: 0.00077724, TIME: 7566.8s
STEP [23800], EPOCH [15/100], ITER [476/1666] 
LOSS: 0.00112168, TIME: 7574.1s
STEP [23820], EPOCH [15/100], ITER [496/1666] 
LOSS: 0.00079585, TIME: 7581.5s
STEP [23840], EPOCH [15/100], ITER [516/1666] 
LOSS: 0.00084628, TIME: 7588.8s
STEP [23860], EPOCH [15/100], ITER [536/1666] 
LOSS: 0.00128792, TIME: 7596.1s
STEP [23880], EPOCH [15/100], ITER [556/1666] 
LOSS: 0.00078832, TIME: 7603.4s
STEP [23900], EPOCH [15/100], ITER [576/1666] 
LOSS: 0.00060361, TIME: 7610.8s
STEP [23920], EPOCH [15/100], ITER [596/1666] 
LOSS: 0.00084473, TIME: 7618.1s
STEP [23940], EPOCH [15/100], ITER [616/1666] 
LOSS: 0.00079528, TIME: 7625.4s
STEP [23960], EPOCH [15/100], ITER [636/1666] 
LOSS: 0.00136094, TIME: 7632.7s
STEP [23980], EPOCH [15/100], ITER [656/1666] 
LOSS: 0.00100029, TIME: 7640.0s
STEP [24000], EPOCH [15/100], ITER [676/1666] 
LOSS: 0.00119127, TIME: 7647.4s
STEP [24020], EPOCH [15/100], ITER [696/1666] 
LOSS: 0.00097116, TIME: 7654.7s
STEP [24040], EPOCH [15/100], ITER [716/1666] 
LOSS: 0.00128748, TIME: 7662.1s
STEP [24060], EPOCH [15/100], ITER [736/1666] 
LOSS: 0.00097870, TIME: 7669.4s
STEP [24080], EPOCH [15/100], ITER [756/1666] 
LOSS: 0.00086127, TIME: 7676.7s
STEP [24100], EPOCH [15/100], ITER [776/1666] 
LOSS: 0.00044421, TIME: 7684.0s
STEP [24120], EPOCH [15/100], ITER [796/1666] 
LOSS: 0.00099810, TIME: 7691.3s
STEP [24140], EPOCH [15/100], ITER [816/1666] 
LOSS: 0.00071042, TIME: 7698.7s
STEP [24160], EPOCH [15/100], ITER [836/1666] 
LOSS: 0.00162850, TIME: 7706.0s
STEP [24180], EPOCH [15/100], ITER [856/1666] 
LOSS: 0.00101818, TIME: 7713.3s
STEP [24200], EPOCH [15/100], ITER [876/1666] 
LOSS: 0.00093874, TIME: 7720.6s
STEP [24220], EPOCH [15/100], ITER [896/1666] 
LOSS: 0.00251514, TIME: 7727.9s
STEP [24240], EPOCH [15/100], ITER [916/1666] 
LOSS: 0.00134492, TIME: 7735.2s
STEP [24260], EPOCH [15/100], ITER [936/1666] 
LOSS: 0.00122770, TIME: 7742.5s
STEP [24280], EPOCH [15/100], ITER [956/1666] 
LOSS: 0.00083762, TIME: 7749.9s
STEP [24300], EPOCH [15/100], ITER [976/1666] 
LOSS: 0.00097122, TIME: 7757.2s
STEP [24320], EPOCH [15/100], ITER [996/1666] 
LOSS: 0.00097612, TIME: 7764.5s
STEP [24340], EPOCH [15/100], ITER [1016/1666] 
LOSS: 0.00083714, TIME: 7771.8s
STEP [24360], EPOCH [15/100], ITER [1036/1666] 
LOSS: 0.00093488, TIME: 7779.1s
STEP [24380], EPOCH [15/100], ITER [1056/1666] 
LOSS: 0.00114294, TIME: 7786.5s
STEP [24400], EPOCH [15/100], ITER [1076/1666] 
LOSS: 0.00078536, TIME: 7793.7s
STEP [24420], EPOCH [15/100], ITER [1096/1666] 
LOSS: 0.00152882, TIME: 7801.1s
STEP [24440], EPOCH [15/100], ITER [1116/1666] 
LOSS: 0.00104838, TIME: 7808.4s
STEP [24460], EPOCH [15/100], ITER [1136/1666] 
LOSS: 0.00066505, TIME: 7815.8s
STEP [24480], EPOCH [15/100], ITER [1156/1666] 
LOSS: 0.00086439, TIME: 7823.1s
STEP [24500], EPOCH [15/100], ITER [1176/1666] 
LOSS: 0.00088415, TIME: 7830.4s
STEP [24520], EPOCH [15/100], ITER [1196/1666] 
LOSS: 0.00079163, TIME: 7837.7s
STEP [24540], EPOCH [15/100], ITER [1216/1666] 
LOSS: 0.00054605, TIME: 7845.1s
STEP [24560], EPOCH [15/100], ITER [1236/1666] 
LOSS: 0.00074610, TIME: 7852.4s
STEP [24580], EPOCH [15/100], ITER [1256/1666] 
LOSS: 0.00145677, TIME: 7859.7s
STEP [24600], EPOCH [15/100], ITER [1276/1666] 
LOSS: 0.00103167, TIME: 7867.0s
STEP [24620], EPOCH [15/100], ITER [1296/1666] 
LOSS: 0.00106560, TIME: 7874.3s
STEP [24640], EPOCH [15/100], ITER [1316/1666] 
LOSS: 0.00145898, TIME: 7881.7s
STEP [24660], EPOCH [15/100], ITER [1336/1666] 
LOSS: 0.00089694, TIME: 7889.0s
STEP [24680], EPOCH [15/100], ITER [1356/1666] 
LOSS: 0.00045075, TIME: 7896.3s
STEP [24700], EPOCH [15/100], ITER [1376/1666] 
LOSS: 0.00068791, TIME: 7903.6s
STEP [24720], EPOCH [15/100], ITER [1396/1666] 
LOSS: 0.00094399, TIME: 7911.0s
STEP [24740], EPOCH [15/100], ITER [1416/1666] 
LOSS: 0.00068040, TIME: 7918.3s
STEP [24760], EPOCH [15/100], ITER [1436/1666] 
LOSS: 0.00101586, TIME: 7925.6s
STEP [24780], EPOCH [15/100], ITER [1456/1666] 
LOSS: 0.00081642, TIME: 7932.9s
STEP [24800], EPOCH [15/100], ITER [1476/1666] 
LOSS: 0.00109896, TIME: 7940.3s
STEP [24820], EPOCH [15/100], ITER [1496/1666] 
LOSS: 0.00082723, TIME: 7947.6s
STEP [24840], EPOCH [15/100], ITER [1516/1666] 
LOSS: 0.00087357, TIME: 7954.9s
STEP [24860], EPOCH [15/100], ITER [1536/1666] 
LOSS: 0.00085208, TIME: 7962.2s
STEP [24880], EPOCH [15/100], ITER [1556/1666] 
LOSS: 0.00128871, TIME: 7969.5s
STEP [24900], EPOCH [15/100], ITER [1576/1666] 
LOSS: 0.00086070, TIME: 7976.8s
STEP [24920], EPOCH [15/100], ITER [1596/1666] 
LOSS: 0.00109168, TIME: 7984.2s
STEP [24940], EPOCH [15/100], ITER [1616/1666] 
LOSS: 0.00086296, TIME: 7991.5s
STEP [24960], EPOCH [15/100], ITER [1636/1666] 
LOSS: 0.00148854, TIME: 7998.8s
STEP [24980], EPOCH [15/100], ITER [1656/1666] 
LOSS: 0.00084476, TIME: 8006.1s
STEP [25000], EPOCH [16/100], ITER [10/1666] 
LOSS: 0.00078927, TIME: 8022.1s
STEP [25020], EPOCH [16/100], ITER [30/1666] 
LOSS: 0.00089272, TIME: 8029.4s
STEP [25040], EPOCH [16/100], ITER [50/1666] 
LOSS: 0.00068933, TIME: 8036.7s
STEP [25060], EPOCH [16/100], ITER [70/1666] 
LOSS: 0.00107301, TIME: 8044.1s
STEP [25080], EPOCH [16/100], ITER [90/1666] 
LOSS: 0.00086849, TIME: 8051.4s
STEP [25100], EPOCH [16/100], ITER [110/1666] 
LOSS: 0.00100734, TIME: 8058.7s
STEP [25120], EPOCH [16/100], ITER [130/1666] 
LOSS: 0.00174438, TIME: 8066.0s
STEP [25140], EPOCH [16/100], ITER [150/1666] 
LOSS: 0.00098784, TIME: 8073.4s
STEP [25160], EPOCH [16/100], ITER [170/1666] 
LOSS: 0.00084417, TIME: 8080.7s
STEP [25180], EPOCH [16/100], ITER [190/1666] 
LOSS: 0.00075171, TIME: 8088.0s
STEP [25200], EPOCH [16/100], ITER [210/1666] 
LOSS: 0.00112345, TIME: 8095.3s
STEP [25220], EPOCH [16/100], ITER [230/1666] 
LOSS: 0.00068867, TIME: 8102.6s
STEP [25240], EPOCH [16/100], ITER [250/1666] 
LOSS: 0.00100206, TIME: 8109.9s
STEP [25260], EPOCH [16/100], ITER [270/1666] 
LOSS: 0.00107317, TIME: 8117.2s
STEP [25280], EPOCH [16/100], ITER [290/1666] 
LOSS: 0.00091687, TIME: 8124.6s
STEP [25300], EPOCH [16/100], ITER [310/1666] 
LOSS: 0.00100380, TIME: 8131.9s
STEP [25320], EPOCH [16/100], ITER [330/1666] 
LOSS: 0.00153734, TIME: 8139.2s
STEP [25340], EPOCH [16/100], ITER [350/1666] 
LOSS: 0.00084186, TIME: 8146.5s
STEP [25360], EPOCH [16/100], ITER [370/1666] 
LOSS: 0.00085707, TIME: 8153.9s
STEP [25380], EPOCH [16/100], ITER [390/1666] 
LOSS: 0.00096698, TIME: 8161.2s
STEP [25400], EPOCH [16/100], ITER [410/1666] 
LOSS: 0.00107118, TIME: 8168.5s
STEP [25420], EPOCH [16/100], ITER [430/1666] 
LOSS: 0.00121355, TIME: 8175.8s
STEP [25440], EPOCH [16/100], ITER [450/1666] 
LOSS: 0.00077953, TIME: 8183.1s
STEP [25460], EPOCH [16/100], ITER [470/1666] 
LOSS: 0.00075100, TIME: 8190.4s
STEP [25480], EPOCH [16/100], ITER [490/1666] 
LOSS: 0.00109820, TIME: 8197.7s
STEP [25500], EPOCH [16/100], ITER [510/1666] 
LOSS: 0.00103418, TIME: 8205.1s
STEP [25520], EPOCH [16/100], ITER [530/1666] 
LOSS: 0.00081412, TIME: 8212.4s
STEP [25540], EPOCH [16/100], ITER [550/1666] 
LOSS: 0.00080892, TIME: 8219.7s
STEP [25560], EPOCH [16/100], ITER [570/1666] 
LOSS: 0.00074365, TIME: 8227.0s
STEP [25580], EPOCH [16/100], ITER [590/1666] 
LOSS: 0.00164269, TIME: 8234.3s
STEP [25600], EPOCH [16/100], ITER [610/1666] 
LOSS: 0.00158193, TIME: 8241.7s
STEP [25620], EPOCH [16/100], ITER [630/1666] 
LOSS: 0.00106593, TIME: 8249.0s
STEP [25640], EPOCH [16/100], ITER [650/1666] 
LOSS: 0.00064099, TIME: 8256.3s
STEP [25660], EPOCH [16/100], ITER [670/1666] 
LOSS: 0.00100324, TIME: 8263.6s
STEP [25680], EPOCH [16/100], ITER [690/1666] 
LOSS: 0.00061902, TIME: 8270.9s
STEP [25700], EPOCH [16/100], ITER [710/1666] 
LOSS: 0.00080307, TIME: 8278.3s
STEP [25720], EPOCH [16/100], ITER [730/1666] 
LOSS: 0.00083709, TIME: 8285.6s
STEP [25740], EPOCH [16/100], ITER [750/1666] 
LOSS: 0.00089508, TIME: 8292.9s
STEP [25760], EPOCH [16/100], ITER [770/1666] 
LOSS: 0.00068867, TIME: 8300.2s
STEP [25780], EPOCH [16/100], ITER [790/1666] 
LOSS: 0.00083433, TIME: 8307.5s
STEP [25800], EPOCH [16/100], ITER [810/1666] 
LOSS: 0.00108409, TIME: 8314.9s
STEP [25820], EPOCH [16/100], ITER [830/1666] 
LOSS: 0.00095829, TIME: 8322.2s
STEP [25840], EPOCH [16/100], ITER [850/1666] 
LOSS: 0.00095688, TIME: 8329.5s
STEP [25860], EPOCH [16/100], ITER [870/1666] 
LOSS: 0.00091192, TIME: 8336.8s
STEP [25880], EPOCH [16/100], ITER [890/1666] 
LOSS: 0.00062227, TIME: 8344.1s
STEP [25900], EPOCH [16/100], ITER [910/1666] 
LOSS: 0.00088129, TIME: 8351.4s
STEP [25920], EPOCH [16/100], ITER [930/1666] 
LOSS: 0.00085140, TIME: 8358.8s
STEP [25940], EPOCH [16/100], ITER [950/1666] 
LOSS: 0.00114740, TIME: 8366.1s
STEP [25960], EPOCH [16/100], ITER [970/1666] 
LOSS: 0.00071726, TIME: 8373.4s
STEP [25980], EPOCH [16/100], ITER [990/1666] 
LOSS: 0.00072669, TIME: 8380.8s
STEP [26000], EPOCH [16/100], ITER [1010/1666] 
LOSS: 0.00098323, TIME: 8388.1s
STEP [26020], EPOCH [16/100], ITER [1030/1666] 
LOSS: 0.00081776, TIME: 8395.4s
STEP [26040], EPOCH [16/100], ITER [1050/1666] 
LOSS: 0.00093964, TIME: 8402.7s
STEP [26060], EPOCH [16/100], ITER [1070/1666] 
LOSS: 0.00075944, TIME: 8410.0s
STEP [26080], EPOCH [16/100], ITER [1090/1666] 
LOSS: 0.00088757, TIME: 8417.3s
STEP [26100], EPOCH [16/100], ITER [1110/1666] 
LOSS: 0.00072261, TIME: 8424.6s
STEP [26120], EPOCH [16/100], ITER [1130/1666] 
LOSS: 0.00073927, TIME: 8432.0s
STEP [26140], EPOCH [16/100], ITER [1150/1666] 
LOSS: 0.00077611, TIME: 8439.3s
STEP [26160], EPOCH [16/100], ITER [1170/1666] 
LOSS: 0.00098426, TIME: 8446.6s
STEP [26180], EPOCH [16/100], ITER [1190/1666] 
LOSS: 0.00074199, TIME: 8453.9s
STEP [26200], EPOCH [16/100], ITER [1210/1666] 
LOSS: 0.00107199, TIME: 8461.3s
STEP [26220], EPOCH [16/100], ITER [1230/1666] 
LOSS: 0.00089326, TIME: 8468.6s
STEP [26240], EPOCH [16/100], ITER [1250/1666] 
LOSS: 0.00105374, TIME: 8475.9s
STEP [26260], EPOCH [16/100], ITER [1270/1666] 
LOSS: 0.00109755, TIME: 8483.2s
STEP [26280], EPOCH [16/100], ITER [1290/1666] 
LOSS: 0.00079758, TIME: 8490.6s
STEP [26300], EPOCH [16/100], ITER [1310/1666] 
LOSS: 0.00065253, TIME: 8497.8s
STEP [26320], EPOCH [16/100], ITER [1330/1666] 
LOSS: 0.00070607, TIME: 8505.2s
STEP [26340], EPOCH [16/100], ITER [1350/1666] 
LOSS: 0.00095845, TIME: 8512.5s
STEP [26360], EPOCH [16/100], ITER [1370/1666] 
LOSS: 0.00054003, TIME: 8519.8s
STEP [26380], EPOCH [16/100], ITER [1390/1666] 
LOSS: 0.00078641, TIME: 8527.1s
STEP [26400], EPOCH [16/100], ITER [1410/1666] 
LOSS: 0.00090195, TIME: 8534.5s
STEP [26420], EPOCH [16/100], ITER [1430/1666] 
LOSS: 0.00146031, TIME: 8541.8s
STEP [26440], EPOCH [16/100], ITER [1450/1666] 
LOSS: 0.00108977, TIME: 8549.1s
STEP [26460], EPOCH [16/100], ITER [1470/1666] 
LOSS: 0.00094318, TIME: 8556.4s
STEP [26480], EPOCH [16/100], ITER [1490/1666] 
LOSS: 0.00132741, TIME: 8563.7s
STEP [26500], EPOCH [16/100], ITER [1510/1666] 
LOSS: 0.00119515, TIME: 8571.0s
STEP [26520], EPOCH [16/100], ITER [1530/1666] 
LOSS: 0.00127298, TIME: 8578.3s
STEP [26540], EPOCH [16/100], ITER [1550/1666] 
LOSS: 0.00174542, TIME: 8585.7s
STEP [26560], EPOCH [16/100], ITER [1570/1666] 
LOSS: 0.00100162, TIME: 8593.0s
STEP [26580], EPOCH [16/100], ITER [1590/1666] 
LOSS: 0.00098060, TIME: 8600.3s
STEP [26600], EPOCH [16/100], ITER [1610/1666] 
LOSS: 0.00106311, TIME: 8607.6s
STEP [26620], EPOCH [16/100], ITER [1630/1666] 
LOSS: 0.00112580, TIME: 8615.0s
STEP [26640], EPOCH [16/100], ITER [1650/1666] 
LOSS: 0.00056269, TIME: 8622.3s
STEP [26660], EPOCH [17/100], ITER [4/1666] 
LOSS: 0.00129954, TIME: 8638.1s
STEP [26680], EPOCH [17/100], ITER [24/1666] 
LOSS: 0.00127303, TIME: 8645.3s
STEP [26700], EPOCH [17/100], ITER [44/1666] 
LOSS: 0.00082033, TIME: 8652.7s
STEP [26720], EPOCH [17/100], ITER [64/1666] 
LOSS: 0.00075702, TIME: 8660.0s
STEP [26740], EPOCH [17/100], ITER [84/1666] 
LOSS: 0.00096604, TIME: 8667.3s
STEP [26760], EPOCH [17/100], ITER [104/1666] 
LOSS: 0.00076102, TIME: 8674.6s
STEP [26780], EPOCH [17/100], ITER [124/1666] 
LOSS: 0.00072834, TIME: 8681.9s
STEP [26800], EPOCH [17/100], ITER [144/1666] 
LOSS: 0.00118118, TIME: 8689.2s
STEP [26820], EPOCH [17/100], ITER [164/1666] 
LOSS: 0.00069948, TIME: 8696.6s
STEP [26840], EPOCH [17/100], ITER [184/1666] 
LOSS: 0.00095637, TIME: 8703.9s
STEP [26860], EPOCH [17/100], ITER [204/1666] 
LOSS: 0.00070495, TIME: 8711.2s
STEP [26880], EPOCH [17/100], ITER [224/1666] 
LOSS: 0.00101378, TIME: 8718.5s
STEP [26900], EPOCH [17/100], ITER [244/1666] 
LOSS: 0.00125116, TIME: 8725.8s
STEP [26920], EPOCH [17/100], ITER [264/1666] 
LOSS: 0.00068414, TIME: 8733.1s
STEP [26940], EPOCH [17/100], ITER [284/1666] 
LOSS: 0.00075329, TIME: 8740.4s
STEP [26960], EPOCH [17/100], ITER [304/1666] 
LOSS: 0.00119710, TIME: 8747.8s
STEP [26980], EPOCH [17/100], ITER [324/1666] 
LOSS: 0.00098823, TIME: 8755.1s
STEP [27000], EPOCH [17/100], ITER [344/1666] 
LOSS: 0.00100682, TIME: 8762.4s
STEP [27020], EPOCH [17/100], ITER [364/1666] 
LOSS: 0.00114389, TIME: 8769.7s
STEP [27040], EPOCH [17/100], ITER [384/1666] 
LOSS: 0.00069345, TIME: 8777.1s
STEP [27060], EPOCH [17/100], ITER [404/1666] 
LOSS: 0.00125062, TIME: 8784.4s
STEP [27080], EPOCH [17/100], ITER [424/1666] 
LOSS: 0.00052669, TIME: 8791.7s
STEP [27100], EPOCH [17/100], ITER [444/1666] 
LOSS: 0.00093207, TIME: 8799.0s
STEP [27120], EPOCH [17/100], ITER [464/1666] 
LOSS: 0.00093223, TIME: 8806.3s
STEP [27140], EPOCH [17/100], ITER [484/1666] 
LOSS: 0.00126393, TIME: 8813.6s
STEP [27160], EPOCH [17/100], ITER [504/1666] 
LOSS: 0.00054449, TIME: 8821.0s
STEP [27180], EPOCH [17/100], ITER [524/1666] 
LOSS: 0.00102967, TIME: 8828.3s
STEP [27200], EPOCH [17/100], ITER [544/1666] 
LOSS: 0.00109862, TIME: 8835.6s
STEP [27220], EPOCH [17/100], ITER [564/1666] 
LOSS: 0.00080416, TIME: 8842.9s
STEP [27240], EPOCH [17/100], ITER [584/1666] 
LOSS: 0.00099439, TIME: 8850.2s
STEP [27260], EPOCH [17/100], ITER [604/1666] 
LOSS: 0.00081217, TIME: 8857.5s
STEP [27280], EPOCH [17/100], ITER [624/1666] 
LOSS: 0.00103428, TIME: 8864.9s
STEP [27300], EPOCH [17/100], ITER [644/1666] 
LOSS: 0.00096395, TIME: 8872.2s
STEP [27320], EPOCH [17/100], ITER [664/1666] 
LOSS: 0.00102033, TIME: 8879.5s
STEP [27340], EPOCH [17/100], ITER [684/1666] 
LOSS: 0.00078435, TIME: 8886.8s
STEP [27360], EPOCH [17/100], ITER [704/1666] 
LOSS: 0.00167872, TIME: 8894.1s
STEP [27380], EPOCH [17/100], ITER [724/1666] 
LOSS: 0.00079111, TIME: 8901.4s
STEP [27400], EPOCH [17/100], ITER [744/1666] 
LOSS: 0.00078885, TIME: 8908.7s
STEP [27420], EPOCH [17/100], ITER [764/1666] 
LOSS: 0.00070217, TIME: 8916.1s
STEP [27440], EPOCH [17/100], ITER [784/1666] 
LOSS: 0.00141530, TIME: 8923.4s
STEP [27460], EPOCH [17/100], ITER [804/1666] 
LOSS: 0.00095671, TIME: 8930.7s
STEP [27480], EPOCH [17/100], ITER [824/1666] 
LOSS: 0.00052055, TIME: 8938.0s
STEP [27500], EPOCH [17/100], ITER [844/1666] 
LOSS: 0.00056776, TIME: 8945.4s
STEP [27520], EPOCH [17/100], ITER [864/1666] 
LOSS: 0.00121146, TIME: 8952.7s
STEP [27540], EPOCH [17/100], ITER [884/1666] 
LOSS: 0.00137296, TIME: 8960.0s
STEP [27560], EPOCH [17/100], ITER [904/1666] 
LOSS: 0.00063375, TIME: 8967.3s
STEP [27580], EPOCH [17/100], ITER [924/1666] 
LOSS: 0.00121142, TIME: 8974.6s
STEP [27600], EPOCH [17/100], ITER [944/1666] 
LOSS: 0.00083083, TIME: 8982.0s
STEP [27620], EPOCH [17/100], ITER [964/1666] 
LOSS: 0.00091011, TIME: 8989.3s
STEP [27640], EPOCH [17/100], ITER [984/1666] 
LOSS: 0.00085574, TIME: 8996.6s
STEP [27660], EPOCH [17/100], ITER [1004/1666] 
LOSS: 0.00164951, TIME: 9003.9s
STEP [27680], EPOCH [17/100], ITER [1024/1666] 
LOSS: 0.00126385, TIME: 9011.2s
STEP [27700], EPOCH [17/100], ITER [1044/1666] 
LOSS: 0.00128199, TIME: 9018.5s
STEP [27720], EPOCH [17/100], ITER [1064/1666] 
LOSS: 0.00082300, TIME: 9025.9s
STEP [27740], EPOCH [17/100], ITER [1084/1666] 
LOSS: 0.00091766, TIME: 9033.0s
STEP [27760], EPOCH [17/100], ITER [1104/1666] 
LOSS: 0.00082601, TIME: 9036.9s
STEP [27780], EPOCH [17/100], ITER [1124/1666] 
LOSS: 0.00107816, TIME: 9043.5s
STEP [27800], EPOCH [17/100], ITER [1144/1666] 
LOSS: 0.00095713, TIME: 9050.8s
STEP [27820], EPOCH [17/100], ITER [1164/1666] 
LOSS: 0.00131264, TIME: 9058.1s
STEP [27840], EPOCH [17/100], ITER [1184/1666] 
LOSS: 0.00087696, TIME: 9065.5s
STEP [27860], EPOCH [17/100], ITER [1204/1666] 
LOSS: 0.00069114, TIME: 9072.8s
STEP [27880], EPOCH [17/100], ITER [1224/1666] 
LOSS: 0.00056837, TIME: 9080.1s
STEP [27900], EPOCH [17/100], ITER [1244/1666] 
LOSS: 0.00078314, TIME: 9087.4s
STEP [27920], EPOCH [17/100], ITER [1264/1666] 
LOSS: 0.00101839, TIME: 9094.8s
STEP [27940], EPOCH [17/100], ITER [1284/1666] 
LOSS: 0.00073530, TIME: 9102.1s
STEP [27960], EPOCH [17/100], ITER [1304/1666] 
LOSS: 0.00084927, TIME: 9109.4s
STEP [27980], EPOCH [17/100], ITER [1324/1666] 
LOSS: 0.00081342, TIME: 9116.8s
STEP [28000], EPOCH [17/100], ITER [1344/1666] 
LOSS: 0.00050993, TIME: 9124.1s
STEP [28020], EPOCH [17/100], ITER [1364/1666] 
LOSS: 0.00078749, TIME: 9131.5s
STEP [28040], EPOCH [17/100], ITER [1384/1666] 
LOSS: 0.00106868, TIME: 9138.8s
STEP [28060], EPOCH [17/100], ITER [1404/1666] 
LOSS: 0.00098321, TIME: 9146.1s
STEP [28080], EPOCH [17/100], ITER [1424/1666] 
LOSS: 0.00093409, TIME: 9153.4s
STEP [28100], EPOCH [17/100], ITER [1444/1666] 
LOSS: 0.00076052, TIME: 9160.8s
STEP [28120], EPOCH [17/100], ITER [1464/1666] 
LOSS: 0.00070913, TIME: 9168.1s
STEP [28140], EPOCH [17/100], ITER [1484/1666] 
LOSS: 0.00070006, TIME: 9175.4s
STEP [28160], EPOCH [17/100], ITER [1504/1666] 
LOSS: 0.00125919, TIME: 9182.8s
STEP [28180], EPOCH [17/100], ITER [1524/1666] 
LOSS: 0.00139992, TIME: 9190.1s
STEP [28200], EPOCH [17/100], ITER [1544/1666] 
LOSS: 0.00076656, TIME: 9197.4s
STEP [28220], EPOCH [17/100], ITER [1564/1666] 
LOSS: 0.00094050, TIME: 9204.8s
STEP [28240], EPOCH [17/100], ITER [1584/1666] 
LOSS: 0.00088299, TIME: 9212.1s
STEP [28260], EPOCH [17/100], ITER [1604/1666] 
LOSS: 0.00096587, TIME: 9219.4s
STEP [28280], EPOCH [17/100], ITER [1624/1666] 
LOSS: 0.00081570, TIME: 9226.7s
STEP [28300], EPOCH [17/100], ITER [1644/1666] 
LOSS: 0.00111548, TIME: 9234.0s
STEP [28320], EPOCH [17/100], ITER [1664/1666] 
LOSS: 0.00146274, TIME: 9241.4s
STEP [28340], EPOCH [18/100], ITER [18/1666] 
LOSS: 0.00090323, TIME: 9257.5s
STEP [28360], EPOCH [18/100], ITER [38/1666] 
LOSS: 0.00064490, TIME: 9264.8s
STEP [28380], EPOCH [18/100], ITER [58/1666] 
LOSS: 0.00143016, TIME: 9272.1s
STEP [28400], EPOCH [18/100], ITER [78/1666] 
LOSS: 0.00098629, TIME: 9279.4s
STEP [28420], EPOCH [18/100], ITER [98/1666] 
LOSS: 0.00116887, TIME: 9286.8s
STEP [28440], EPOCH [18/100], ITER [118/1666] 
LOSS: 0.00103168, TIME: 9294.1s
STEP [28460], EPOCH [18/100], ITER [138/1666] 
LOSS: 0.00106295, TIME: 9301.4s
STEP [28480], EPOCH [18/100], ITER [158/1666] 
LOSS: 0.00063350, TIME: 9308.7s
STEP [28500], EPOCH [18/100], ITER [178/1666] 
LOSS: 0.00073298, TIME: 9316.0s
STEP [28520], EPOCH [18/100], ITER [198/1666] 
LOSS: 0.00081845, TIME: 9323.4s
STEP [28540], EPOCH [18/100], ITER [218/1666] 
LOSS: 0.00112235, TIME: 9330.7s
STEP [28560], EPOCH [18/100], ITER [238/1666] 
LOSS: 0.00082881, TIME: 9338.1s
STEP [28580], EPOCH [18/100], ITER [258/1666] 
LOSS: 0.00092720, TIME: 9345.3s
STEP [28600], EPOCH [18/100], ITER [278/1666] 
LOSS: 0.00051087, TIME: 9352.7s
STEP [28620], EPOCH [18/100], ITER [298/1666] 
LOSS: 0.00121277, TIME: 9360.0s
STEP [28640], EPOCH [18/100], ITER [318/1666] 
LOSS: 0.00077255, TIME: 9367.3s
STEP [28660], EPOCH [18/100], ITER [338/1666] 
LOSS: 0.00115944, TIME: 9374.6s
STEP [28680], EPOCH [18/100], ITER [358/1666] 
LOSS: 0.00116960, TIME: 9382.0s
STEP [28700], EPOCH [18/100], ITER [378/1666] 
LOSS: 0.00098177, TIME: 9389.3s
STEP [28720], EPOCH [18/100], ITER [398/1666] 
LOSS: 0.00080276, TIME: 9396.6s
STEP [28740], EPOCH [18/100], ITER [418/1666] 
LOSS: 0.00060973, TIME: 9404.0s
STEP [28760], EPOCH [18/100], ITER [438/1666] 
LOSS: 0.00079663, TIME: 9411.3s
STEP [28780], EPOCH [18/100], ITER [458/1666] 
LOSS: 0.00117735, TIME: 9418.6s
STEP [28800], EPOCH [18/100], ITER [478/1666] 
LOSS: 0.00100256, TIME: 9425.9s
STEP [28820], EPOCH [18/100], ITER [498/1666] 
LOSS: 0.00098583, TIME: 9433.2s
STEP [28840], EPOCH [18/100], ITER [518/1666] 
LOSS: 0.00196586, TIME: 9440.5s
STEP [28860], EPOCH [18/100], ITER [538/1666] 
LOSS: 0.00102145, TIME: 9447.9s
STEP [28880], EPOCH [18/100], ITER [558/1666] 
LOSS: 0.00071393, TIME: 9455.2s
STEP [28900], EPOCH [18/100], ITER [578/1666] 
LOSS: 0.00084348, TIME: 9462.5s
STEP [28920], EPOCH [18/100], ITER [598/1666] 
LOSS: 0.00099717, TIME: 9469.8s
STEP [28940], EPOCH [18/100], ITER [618/1666] 
LOSS: 0.00086051, TIME: 9477.1s
STEP [28960], EPOCH [18/100], ITER [638/1666] 
LOSS: 0.00053345, TIME: 9484.5s
STEP [28980], EPOCH [18/100], ITER [658/1666] 
LOSS: 0.00115768, TIME: 9491.8s
STEP [29000], EPOCH [18/100], ITER [678/1666] 
LOSS: 0.00090854, TIME: 9499.1s
STEP [29020], EPOCH [18/100], ITER [698/1666] 
LOSS: 0.00071299, TIME: 9506.4s
STEP [29040], EPOCH [18/100], ITER [718/1666] 
LOSS: 0.00062569, TIME: 9513.7s
STEP [29060], EPOCH [18/100], ITER [738/1666] 
LOSS: 0.00114912, TIME: 9521.1s
STEP [29080], EPOCH [18/100], ITER [758/1666] 
LOSS: 0.00109293, TIME: 9528.5s
STEP [29100], EPOCH [18/100], ITER [778/1666] 
LOSS: 0.00126709, TIME: 9535.8s
STEP [29120], EPOCH [18/100], ITER [798/1666] 
LOSS: 0.00104295, TIME: 9543.1s
STEP [29140], EPOCH [18/100], ITER [818/1666] 
LOSS: 0.00102830, TIME: 9550.5s
STEP [29160], EPOCH [18/100], ITER [838/1666] 
LOSS: 0.00088143, TIME: 9557.8s
STEP [29180], EPOCH [18/100], ITER [858/1666] 
LOSS: 0.00091571, TIME: 9565.1s
STEP [29200], EPOCH [18/100], ITER [878/1666] 
LOSS: 0.00116725, TIME: 9572.5s
STEP [29220], EPOCH [18/100], ITER [898/1666] 
LOSS: 0.00092431, TIME: 9579.7s
STEP [29240], EPOCH [18/100], ITER [918/1666] 
LOSS: 0.00075990, TIME: 9587.1s
STEP [29260], EPOCH [18/100], ITER [938/1666] 
LOSS: 0.00070317, TIME: 9594.4s
STEP [29280], EPOCH [18/100], ITER [958/1666] 
LOSS: 0.00051525, TIME: 9601.7s
STEP [29300], EPOCH [18/100], ITER [978/1666] 
LOSS: 0.00115655, TIME: 9609.1s
STEP [29320], EPOCH [18/100], ITER [998/1666] 
LOSS: 0.00081521, TIME: 9616.4s
STEP [29340], EPOCH [18/100], ITER [1018/1666] 
LOSS: 0.00081665, TIME: 9623.7s
STEP [29360], EPOCH [18/100], ITER [1038/1666] 
LOSS: 0.00144582, TIME: 9631.0s
STEP [29380], EPOCH [18/100], ITER [1058/1666] 
LOSS: 0.00085082, TIME: 9638.4s
STEP [29400], EPOCH [18/100], ITER [1078/1666] 
LOSS: 0.00070990, TIME: 9645.7s
STEP [29420], EPOCH [18/100], ITER [1098/1666] 
LOSS: 0.00067414, TIME: 9653.0s
STEP [29440], EPOCH [18/100], ITER [1118/1666] 
LOSS: 0.00058938, TIME: 9660.3s
STEP [29460], EPOCH [18/100], ITER [1138/1666] 
LOSS: 0.00073458, TIME: 9667.6s
STEP [29480], EPOCH [18/100], ITER [1158/1666] 
LOSS: 0.00123729, TIME: 9675.0s
STEP [29500], EPOCH [18/100], ITER [1178/1666] 
LOSS: 0.00072798, TIME: 9682.3s
STEP [29520], EPOCH [18/100], ITER [1198/1666] 
LOSS: 0.00054546, TIME: 9689.6s
STEP [29540], EPOCH [18/100], ITER [1218/1666] 
LOSS: 0.00080685, TIME: 9696.9s
STEP [29560], EPOCH [18/100], ITER [1238/1666] 
LOSS: 0.00124066, TIME: 9704.2s
STEP [29580], EPOCH [18/100], ITER [1258/1666] 
LOSS: 0.00080455, TIME: 9711.6s
STEP [29600], EPOCH [18/100], ITER [1278/1666] 
LOSS: 0.00077152, TIME: 9719.0s
STEP [29620], EPOCH [18/100], ITER [1298/1666] 
LOSS: 0.00082301, TIME: 9726.3s
STEP [29640], EPOCH [18/100], ITER [1318/1666] 
LOSS: 0.00063046, TIME: 9733.6s
STEP [29660], EPOCH [18/100], ITER [1338/1666] 
LOSS: 0.00067624, TIME: 9740.9s
STEP [29680], EPOCH [18/100], ITER [1358/1666] 
LOSS: 0.00092560, TIME: 9748.2s
STEP [29700], EPOCH [18/100], ITER [1378/1666] 
LOSS: 0.00068832, TIME: 9755.5s
STEP [29720], EPOCH [18/100], ITER [1398/1666] 
LOSS: 0.00302127, TIME: 9762.9s
STEP [29740], EPOCH [18/100], ITER [1418/1666] 
LOSS: 0.00065677, TIME: 9770.2s
STEP [29760], EPOCH [18/100], ITER [1438/1666] 
LOSS: 0.00051170, TIME: 9777.5s
STEP [29780], EPOCH [18/100], ITER [1458/1666] 
LOSS: 0.00140907, TIME: 9784.8s
STEP [29800], EPOCH [18/100], ITER [1478/1666] 
LOSS: 0.00143409, TIME: 9792.2s
STEP [29820], EPOCH [18/100], ITER [1498/1666] 
LOSS: 0.00098674, TIME: 9799.5s
STEP [29840], EPOCH [18/100], ITER [1518/1666] 
LOSS: 0.00095852, TIME: 9806.8s
STEP [29860], EPOCH [18/100], ITER [1538/1666] 
LOSS: 0.00062703, TIME: 9814.1s
STEP [29880], EPOCH [18/100], ITER [1558/1666] 
LOSS: 0.00099951, TIME: 9821.4s
STEP [29900], EPOCH [18/100], ITER [1578/1666] 
LOSS: 0.00167995, TIME: 9828.7s
STEP [29920], EPOCH [18/100], ITER [1598/1666] 
LOSS: 0.00095924, TIME: 9836.0s
STEP [29940], EPOCH [18/100], ITER [1618/1666] 
LOSS: 0.00075422, TIME: 9843.4s
STEP [29960], EPOCH [18/100], ITER [1638/1666] 
LOSS: 0.00098708, TIME: 9850.7s
STEP [29980], EPOCH [18/100], ITER [1658/1666] 
LOSS: 0.00160041, TIME: 9858.0s
STEP [30000], EPOCH [19/100], ITER [12/1666] 
LOSS: 0.00074168, TIME: 9874.0s
STEP [30020], EPOCH [19/100], ITER [32/1666] 
LOSS: 0.00073691, TIME: 9881.4s
STEP [30040], EPOCH [19/100], ITER [52/1666] 
LOSS: 0.00076111, TIME: 9888.6s
STEP [30060], EPOCH [19/100], ITER [72/1666] 
LOSS: 0.00062886, TIME: 9896.0s
STEP [30080], EPOCH [19/100], ITER [92/1666] 
LOSS: 0.00109104, TIME: 9903.3s
STEP [30100], EPOCH [19/100], ITER [112/1666] 
LOSS: 0.00111385, TIME: 9910.6s
STEP [30120], EPOCH [19/100], ITER [132/1666] 
LOSS: 0.00102766, TIME: 9917.9s
STEP [30140], EPOCH [19/100], ITER [152/1666] 
LOSS: 0.00129841, TIME: 9925.2s
STEP [30160], EPOCH [19/100], ITER [172/1666] 
LOSS: 0.00074228, TIME: 9932.6s
STEP [30180], EPOCH [19/100], ITER [192/1666] 
LOSS: 0.00073834, TIME: 9939.9s
STEP [30200], EPOCH [19/100], ITER [212/1666] 
LOSS: 0.00080891, TIME: 9947.2s
STEP [30220], EPOCH [19/100], ITER [232/1666] 
LOSS: 0.00084615, TIME: 9954.5s
STEP [30240], EPOCH [19/100], ITER [252/1666] 
LOSS: 0.00079100, TIME: 9961.8s
STEP [30260], EPOCH [19/100], ITER [272/1666] 
LOSS: 0.00082532, TIME: 9969.1s
STEP [30280], EPOCH [19/100], ITER [292/1666] 
LOSS: 0.00082432, TIME: 9976.4s
STEP [30300], EPOCH [19/100], ITER [312/1666] 
LOSS: 0.00123254, TIME: 9983.7s
STEP [30320], EPOCH [19/100], ITER [332/1666] 
LOSS: 0.00082586, TIME: 9991.1s
STEP [30340], EPOCH [19/100], ITER [352/1666] 
LOSS: 0.00088407, TIME: 9998.4s
STEP [30360], EPOCH [19/100], ITER [372/1666] 
LOSS: 0.00071459, TIME: 10005.7s
STEP [30380], EPOCH [19/100], ITER [392/1666] 
LOSS: 0.00062231, TIME: 10013.0s
STEP [30400], EPOCH [19/100], ITER [412/1666] 
LOSS: 0.00081247, TIME: 10020.4s
STEP [30420], EPOCH [19/100], ITER [432/1666] 
LOSS: 0.00073105, TIME: 10027.7s
STEP [30440], EPOCH [19/100], ITER [452/1666] 
LOSS: 0.00060222, TIME: 10035.0s
STEP [30460], EPOCH [19/100], ITER [472/1666] 
LOSS: 0.00071047, TIME: 10042.3s
STEP [30480], EPOCH [19/100], ITER [492/1666] 
LOSS: 0.00086663, TIME: 10049.6s
STEP [30500], EPOCH [19/100], ITER [512/1666] 
LOSS: 0.00101619, TIME: 10056.9s
STEP [30520], EPOCH [19/100], ITER [532/1666] 
LOSS: 0.00119085, TIME: 10064.2s
STEP [30540], EPOCH [19/100], ITER [552/1666] 
LOSS: 0.00081263, TIME: 10071.6s
STEP [30560], EPOCH [19/100], ITER [572/1666] 
LOSS: 0.00106158, TIME: 10078.9s
STEP [30580], EPOCH [19/100], ITER [592/1666] 
LOSS: 0.00071987, TIME: 10086.2s
STEP [30600], EPOCH [19/100], ITER [612/1666] 
LOSS: 0.00100639, TIME: 10093.5s
STEP [30620], EPOCH [19/100], ITER [632/1666] 
LOSS: 0.00133119, TIME: 10100.9s
STEP [30640], EPOCH [19/100], ITER [652/1666] 
LOSS: 0.00149808, TIME: 10108.2s
STEP [30660], EPOCH [19/100], ITER [672/1666] 
LOSS: 0.00112666, TIME: 10115.5s
STEP [30680], EPOCH [19/100], ITER [692/1666] 
LOSS: 0.00110482, TIME: 10122.8s
STEP [30700], EPOCH [19/100], ITER [712/1666] 
LOSS: 0.00108606, TIME: 10130.1s
STEP [30720], EPOCH [19/100], ITER [732/1666] 
LOSS: 0.00061832, TIME: 10137.4s
STEP [30740], EPOCH [19/100], ITER [752/1666] 
LOSS: 0.00055149, TIME: 10144.8s
STEP [30760], EPOCH [19/100], ITER [772/1666] 
LOSS: 0.00066854, TIME: 10152.1s
STEP [30780], EPOCH [19/100], ITER [792/1666] 
LOSS: 0.00063208, TIME: 10159.4s
STEP [30800], EPOCH [19/100], ITER [812/1666] 
LOSS: 0.00087389, TIME: 10166.8s
STEP [30820], EPOCH [19/100], ITER [832/1666] 
LOSS: 0.00067025, TIME: 10174.1s
STEP [30840], EPOCH [19/100], ITER [852/1666] 
LOSS: 0.00086028, TIME: 10181.4s
STEP [30860], EPOCH [19/100], ITER [872/1666] 
LOSS: 0.00146230, TIME: 10188.7s
STEP [30880], EPOCH [19/100], ITER [892/1666] 
LOSS: 0.00114480, TIME: 10196.0s
STEP [30900], EPOCH [19/100], ITER [912/1666] 
LOSS: 0.00076358, TIME: 10203.3s
STEP [30920], EPOCH [19/100], ITER [932/1666] 
LOSS: 0.00112837, TIME: 10210.6s
STEP [30940], EPOCH [19/100], ITER [952/1666] 
LOSS: 0.00089947, TIME: 10218.0s
STEP [30960], EPOCH [19/100], ITER [972/1666] 
LOSS: 0.00105958, TIME: 10225.3s
STEP [30980], EPOCH [19/100], ITER [992/1666] 
LOSS: 0.00099919, TIME: 10232.6s
STEP [31000], EPOCH [19/100], ITER [1012/1666] 
LOSS: 0.00066531, TIME: 10239.9s
STEP [31020], EPOCH [19/100], ITER [1032/1666] 
LOSS: 0.00068361, TIME: 10247.3s
STEP [31040], EPOCH [19/100], ITER [1052/1666] 
LOSS: 0.00077183, TIME: 10254.6s
STEP [31060], EPOCH [19/100], ITER [1072/1666] 
LOSS: 0.00157267, TIME: 10261.9s
STEP [31080], EPOCH [19/100], ITER [1092/1666] 
LOSS: 0.00085053, TIME: 10269.3s
STEP [31100], EPOCH [19/100], ITER [1112/1666] 
LOSS: 0.00053096, TIME: 10276.6s
STEP [31120], EPOCH [19/100], ITER [1132/1666] 
LOSS: 0.00091276, TIME: 10283.9s
STEP [31140], EPOCH [19/100], ITER [1152/1666] 
LOSS: 0.00075922, TIME: 10291.2s
STEP [31160], EPOCH [19/100], ITER [1172/1666] 
LOSS: 0.00091087, TIME: 10298.5s
STEP [31180], EPOCH [19/100], ITER [1192/1666] 
LOSS: 0.00134450, TIME: 10305.8s
STEP [31200], EPOCH [19/100], ITER [1212/1666] 
LOSS: 0.00070488, TIME: 10313.2s
STEP [31220], EPOCH [19/100], ITER [1232/1666] 
LOSS: 0.00089873, TIME: 10320.5s
STEP [31240], EPOCH [19/100], ITER [1252/1666] 
LOSS: 0.00230690, TIME: 10327.8s
STEP [31260], EPOCH [19/100], ITER [1272/1666] 
LOSS: 0.00108723, TIME: 10335.1s
STEP [31280], EPOCH [19/100], ITER [1292/1666] 
LOSS: 0.00080093, TIME: 10342.5s
STEP [31300], EPOCH [19/100], ITER [1312/1666] 
LOSS: 0.00091565, TIME: 10349.8s
STEP [31320], EPOCH [19/100], ITER [1332/1666] 
LOSS: 0.00055015, TIME: 10357.1s
STEP [31340], EPOCH [19/100], ITER [1352/1666] 
LOSS: 0.00090525, TIME: 10364.4s
STEP [31360], EPOCH [19/100], ITER [1372/1666] 
LOSS: 0.00103489, TIME: 10371.7s
STEP [31380], EPOCH [19/100], ITER [1392/1666] 
LOSS: 0.00069526, TIME: 10379.0s
STEP [31400], EPOCH [19/100], ITER [1412/1666] 
LOSS: 0.00068891, TIME: 10386.4s
STEP [31420], EPOCH [19/100], ITER [1432/1666] 
LOSS: 0.00145156, TIME: 10393.7s
STEP [31440], EPOCH [19/100], ITER [1452/1666] 
LOSS: 0.00132701, TIME: 10401.0s
STEP [31460], EPOCH [19/100], ITER [1472/1666] 
LOSS: 0.00110213, TIME: 10408.3s
STEP [31480], EPOCH [19/100], ITER [1492/1666] 
LOSS: 0.00069240, TIME: 10415.6s
STEP [31500], EPOCH [19/100], ITER [1512/1666] 
LOSS: 0.00087243, TIME: 10423.0s
STEP [31520], EPOCH [19/100], ITER [1532/1666] 
LOSS: 0.00091132, TIME: 10430.3s
STEP [31540], EPOCH [19/100], ITER [1552/1666] 
LOSS: 0.00089778, TIME: 10437.5s
STEP [31560], EPOCH [19/100], ITER [1572/1666] 
LOSS: 0.00079548, TIME: 10444.8s
STEP [31580], EPOCH [19/100], ITER [1592/1666] 
LOSS: 0.00097079, TIME: 10452.2s
STEP [31600], EPOCH [19/100], ITER [1612/1666] 
LOSS: 0.00130413, TIME: 10459.5s
STEP [31620], EPOCH [19/100], ITER [1632/1666] 
LOSS: 0.00094150, TIME: 10466.8s
STEP [31640], EPOCH [19/100], ITER [1652/1666] 
LOSS: 0.00092178, TIME: 10474.1s
STEP [31660], EPOCH [20/100], ITER [6/1666] 
LOSS: 0.00078938, TIME: 10490.2s
STEP [31680], EPOCH [20/100], ITER [26/1666] 
LOSS: 0.00065093, TIME: 10497.5s
STEP [31700], EPOCH [20/100], ITER [46/1666] 
LOSS: 0.00066943, TIME: 10504.9s
STEP [31720], EPOCH [20/100], ITER [66/1666] 
LOSS: 0.00059228, TIME: 10512.2s
STEP [31740], EPOCH [20/100], ITER [86/1666] 
LOSS: 0.00092814, TIME: 10519.5s
STEP [31760], EPOCH [20/100], ITER [106/1666] 
LOSS: 0.00053390, TIME: 10526.8s
STEP [31780], EPOCH [20/100], ITER [126/1666] 
LOSS: 0.00078558, TIME: 10534.1s
STEP [31800], EPOCH [20/100], ITER [146/1666] 
LOSS: 0.00104585, TIME: 10541.5s
STEP [31820], EPOCH [20/100], ITER [166/1666] 
LOSS: 0.00098723, TIME: 10548.8s
STEP [31840], EPOCH [20/100], ITER [186/1666] 
LOSS: 0.00065602, TIME: 10556.1s
STEP [31860], EPOCH [20/100], ITER [206/1666] 
LOSS: 0.00087805, TIME: 10563.4s
STEP [31880], EPOCH [20/100], ITER [226/1666] 
LOSS: 0.00104884, TIME: 10570.7s
STEP [31900], EPOCH [20/100], ITER [246/1666] 
LOSS: 0.00104903, TIME: 10578.1s
STEP [31920], EPOCH [20/100], ITER [266/1666] 
LOSS: 0.00073413, TIME: 10583.4s
STEP [31940], EPOCH [20/100], ITER [286/1666] 
LOSS: 0.00088504, TIME: 10588.2s
STEP [31960], EPOCH [20/100], ITER [306/1666] 
LOSS: 0.00068469, TIME: 10595.5s
STEP [31980], EPOCH [20/100], ITER [326/1666] 
LOSS: 0.00079259, TIME: 10602.9s
STEP [32000], EPOCH [20/100], ITER [346/1666] 
LOSS: 0.00092934, TIME: 10610.2s
STEP [32020], EPOCH [20/100], ITER [366/1666] 
LOSS: 0.00117310, TIME: 10617.6s
STEP [32040], EPOCH [20/100], ITER [386/1666] 
LOSS: 0.00055421, TIME: 10624.9s
STEP [32060], EPOCH [20/100], ITER [406/1666] 
LOSS: 0.00060722, TIME: 10632.3s
STEP [32080], EPOCH [20/100], ITER [426/1666] 
LOSS: 0.00086519, TIME: 10639.6s
STEP [32100], EPOCH [20/100], ITER [446/1666] 
LOSS: 0.00116899, TIME: 10646.9s
STEP [32120], EPOCH [20/100], ITER [466/1666] 
LOSS: 0.00082800, TIME: 10654.3s
STEP [32140], EPOCH [20/100], ITER [486/1666] 
LOSS: 0.00086787, TIME: 10661.6s
STEP [32160], EPOCH [20/100], ITER [506/1666] 
LOSS: 0.00117821, TIME: 10668.9s
STEP [32180], EPOCH [20/100], ITER [526/1666] 
LOSS: 0.00118149, TIME: 10676.2s
STEP [32200], EPOCH [20/100], ITER [546/1666] 
LOSS: 0.00116696, TIME: 10683.6s
STEP [32220], EPOCH [20/100], ITER [566/1666] 
LOSS: 0.00074853, TIME: 10690.9s
STEP [32240], EPOCH [20/100], ITER [586/1666] 
LOSS: 0.00085530, TIME: 10698.2s
STEP [32260], EPOCH [20/100], ITER [606/1666] 
LOSS: 0.00083554, TIME: 10705.6s
STEP [32280], EPOCH [20/100], ITER [626/1666] 
LOSS: 0.00087052, TIME: 10712.9s
STEP [32300], EPOCH [20/100], ITER [646/1666] 
LOSS: 0.00075623, TIME: 10720.2s
STEP [32320], EPOCH [20/100], ITER [666/1666] 
LOSS: 0.00084878, TIME: 10727.5s
STEP [32340], EPOCH [20/100], ITER [686/1666] 
LOSS: 0.00092802, TIME: 10734.8s
STEP [32360], EPOCH [20/100], ITER [706/1666] 
LOSS: 0.00076856, TIME: 10742.1s
STEP [32380], EPOCH [20/100], ITER [726/1666] 
LOSS: 0.00078170, TIME: 10749.5s
STEP [32400], EPOCH [20/100], ITER [746/1666] 
LOSS: 0.00048154, TIME: 10756.8s
STEP [32420], EPOCH [20/100], ITER [766/1666] 
LOSS: 0.00087357, TIME: 10764.1s
STEP [32440], EPOCH [20/100], ITER [786/1666] 
LOSS: 0.00069271, TIME: 10771.5s
STEP [32460], EPOCH [20/100], ITER [806/1666] 
LOSS: 0.00085924, TIME: 10778.8s
STEP [32480], EPOCH [20/100], ITER [826/1666] 
LOSS: 0.00087984, TIME: 10786.1s
STEP [32500], EPOCH [20/100], ITER [846/1666] 
LOSS: 0.00070081, TIME: 10793.4s
STEP [32520], EPOCH [20/100], ITER [866/1666] 
LOSS: 0.00079974, TIME: 10800.7s
STEP [32540], EPOCH [20/100], ITER [886/1666] 
LOSS: 0.00127816, TIME: 10808.1s
STEP [32560], EPOCH [20/100], ITER [906/1666] 
LOSS: 0.00103600, TIME: 10815.4s
STEP [32580], EPOCH [20/100], ITER [926/1666] 
LOSS: 0.00096628, TIME: 10822.7s
STEP [32600], EPOCH [20/100], ITER [946/1666] 
LOSS: 0.00048708, TIME: 10830.0s
STEP [32620], EPOCH [20/100], ITER [966/1666] 
LOSS: 0.00069139, TIME: 10837.3s
STEP [32640], EPOCH [20/100], ITER [986/1666] 
LOSS: 0.00063589, TIME: 10844.6s
STEP [32660], EPOCH [20/100], ITER [1006/1666] 
LOSS: 0.00049907, TIME: 10851.9s
STEP [32680], EPOCH [20/100], ITER [1026/1666] 
LOSS: 0.00107613, TIME: 10859.3s
STEP [32700], EPOCH [20/100], ITER [1046/1666] 
LOSS: 0.00095400, TIME: 10866.6s
STEP [32720], EPOCH [20/100], ITER [1066/1666] 
LOSS: 0.00082392, TIME: 10873.9s
STEP [32740], EPOCH [20/100], ITER [1086/1666] 
LOSS: 0.00087830, TIME: 10881.2s
STEP [32760], EPOCH [20/100], ITER [1106/1666] 
LOSS: 0.00047126, TIME: 10888.5s
STEP [32780], EPOCH [20/100], ITER [1126/1666] 
LOSS: 0.00067372, TIME: 10895.9s
STEP [32800], EPOCH [20/100], ITER [1146/1666] 
LOSS: 0.00102798, TIME: 10903.1s
STEP [32820], EPOCH [20/100], ITER [1166/1666] 
LOSS: 0.00084327, TIME: 10910.5s
STEP [32840], EPOCH [20/100], ITER [1186/1666] 
LOSS: 0.00054025, TIME: 10917.8s
STEP [32860], EPOCH [20/100], ITER [1206/1666] 
LOSS: 0.00085459, TIME: 10925.1s
STEP [32880], EPOCH [20/100], ITER [1226/1666] 
LOSS: 0.00098523, TIME: 10932.5s
STEP [32900], EPOCH [20/100], ITER [1246/1666] 
LOSS: 0.00116555, TIME: 10939.8s
STEP [32920], EPOCH [20/100], ITER [1266/1666] 
LOSS: 0.00077652, TIME: 10947.1s
STEP [32940], EPOCH [20/100], ITER [1286/1666] 
LOSS: 0.00138220, TIME: 10954.5s
STEP [32960], EPOCH [20/100], ITER [1306/1666] 
LOSS: 0.00088074, TIME: 10961.8s
STEP [32980], EPOCH [20/100], ITER [1326/1666] 
LOSS: 0.00048973, TIME: 10969.1s
STEP [33000], EPOCH [20/100], ITER [1346/1666] 
LOSS: 0.00187825, TIME: 10976.5s
STEP [33020], EPOCH [20/100], ITER [1366/1666] 
LOSS: 0.00130542, TIME: 10983.8s
STEP [33040], EPOCH [20/100], ITER [1386/1666] 
LOSS: 0.00087936, TIME: 10991.1s
STEP [33060], EPOCH [20/100], ITER [1406/1666] 
LOSS: 0.00082535, TIME: 10998.4s
STEP [33080], EPOCH [20/100], ITER [1426/1666] 
LOSS: 0.00070534, TIME: 11005.7s
STEP [33100], EPOCH [20/100], ITER [1446/1666] 
LOSS: 0.00075992, TIME: 11013.1s
STEP [33120], EPOCH [20/100], ITER [1466/1666] 
LOSS: 0.00113445, TIME: 11020.4s
STEP [33140], EPOCH [20/100], ITER [1486/1666] 
LOSS: 0.00099262, TIME: 11027.7s
STEP [33160], EPOCH [20/100], ITER [1506/1666] 
LOSS: 0.00076899, TIME: 11035.0s
STEP [33180], EPOCH [20/100], ITER [1526/1666] 
LOSS: 0.00043356, TIME: 11042.3s
STEP [33200], EPOCH [20/100], ITER [1546/1666] 
LOSS: 0.00090216, TIME: 11049.7s
STEP [33220], EPOCH [20/100], ITER [1566/1666] 
LOSS: 0.00135346, TIME: 11057.0s
STEP [33240], EPOCH [20/100], ITER [1586/1666] 
LOSS: 0.00105533, TIME: 11064.2s
STEP [33260], EPOCH [20/100], ITER [1606/1666] 
LOSS: 0.00079429, TIME: 11071.6s
STEP [33280], EPOCH [20/100], ITER [1626/1666] 
LOSS: 0.00062146, TIME: 11078.9s
STEP [33300], EPOCH [20/100], ITER [1646/1666] 
LOSS: 0.00123271, TIME: 11086.2s
STEP [33320], EPOCH [20/100], ITER [1666/1666] 
LOSS: 0.00093728, TIME: 11093.3s
STEP [33340], EPOCH [21/100], ITER [20/1666] 
LOSS: 0.00066212, TIME: 11109.2s
STEP [33360], EPOCH [21/100], ITER [40/1666] 
LOSS: 0.00089643, TIME: 11116.5s
STEP [33380], EPOCH [21/100], ITER [60/1666] 
LOSS: 0.00180653, TIME: 11123.9s
STEP [33400], EPOCH [21/100], ITER [80/1666] 
LOSS: 0.00161089, TIME: 11131.1s
STEP [33420], EPOCH [21/100], ITER [100/1666] 
LOSS: 0.00124881, TIME: 11138.4s
STEP [33440], EPOCH [21/100], ITER [120/1666] 
LOSS: 0.00118078, TIME: 11145.7s
STEP [33460], EPOCH [21/100], ITER [140/1666] 
LOSS: 0.00093974, TIME: 11153.1s
STEP [33480], EPOCH [21/100], ITER [160/1666] 
LOSS: 0.00084485, TIME: 11160.4s
STEP [33500], EPOCH [21/100], ITER [180/1666] 
LOSS: 0.00103033, TIME: 11167.7s
STEP [33520], EPOCH [21/100], ITER [200/1666] 
LOSS: 0.00113120, TIME: 11175.0s
STEP [33540], EPOCH [21/100], ITER [220/1666] 
LOSS: 0.00102033, TIME: 11182.3s
STEP [33560], EPOCH [21/100], ITER [240/1666] 
LOSS: 0.00066957, TIME: 11189.6s
STEP [33580], EPOCH [21/100], ITER [260/1666] 
LOSS: 0.00060021, TIME: 11197.0s
STEP [33600], EPOCH [21/100], ITER [280/1666] 
LOSS: 0.00074479, TIME: 11204.3s
STEP [33620], EPOCH [21/100], ITER [300/1666] 
LOSS: 0.00057954, TIME: 11211.5s
STEP [33640], EPOCH [21/100], ITER [320/1666] 
LOSS: 0.00080114, TIME: 11218.9s
STEP [33660], EPOCH [21/100], ITER [340/1666] 
LOSS: 0.00057633, TIME: 11226.2s
STEP [33680], EPOCH [21/100], ITER [360/1666] 
LOSS: 0.00121097, TIME: 11233.5s
STEP [33700], EPOCH [21/100], ITER [380/1666] 
LOSS: 0.00070361, TIME: 11240.8s
STEP [33720], EPOCH [21/100], ITER [400/1666] 
LOSS: 0.00076186, TIME: 11248.2s
STEP [33740], EPOCH [21/100], ITER [420/1666] 
LOSS: 0.00116239, TIME: 11255.5s
STEP [33760], EPOCH [21/100], ITER [440/1666] 
LOSS: 0.00064780, TIME: 11262.8s
STEP [33780], EPOCH [21/100], ITER [460/1666] 
LOSS: 0.00087577, TIME: 11270.1s
STEP [33800], EPOCH [21/100], ITER [480/1666] 
LOSS: 0.00091897, TIME: 11277.4s
STEP [33820], EPOCH [21/100], ITER [500/1666] 
LOSS: 0.00110564, TIME: 11284.8s
STEP [33840], EPOCH [21/100], ITER [520/1666] 
LOSS: 0.00156644, TIME: 11292.1s
STEP [33860], EPOCH [21/100], ITER [540/1666] 
LOSS: 0.00101925, TIME: 11299.4s
STEP [33880], EPOCH [21/100], ITER [560/1666] 
LOSS: 0.00073883, TIME: 11306.7s
STEP [33900], EPOCH [21/100], ITER [580/1666] 
LOSS: 0.00097495, TIME: 11314.0s
STEP [33920], EPOCH [21/100], ITER [600/1666] 
LOSS: 0.00093525, TIME: 11321.3s
STEP [33940], EPOCH [21/100], ITER [620/1666] 
LOSS: 0.00112134, TIME: 11328.6s
STEP [33960], EPOCH [21/100], ITER [640/1666] 
LOSS: 0.00099887, TIME: 11335.9s
STEP [33980], EPOCH [21/100], ITER [660/1666] 
LOSS: 0.00125699, TIME: 11343.3s
STEP [34000], EPOCH [21/100], ITER [680/1666] 
LOSS: 0.00103472, TIME: 11350.6s
STEP [34020], EPOCH [21/100], ITER [700/1666] 
LOSS: 0.00110364, TIME: 11357.9s
STEP [34040], EPOCH [21/100], ITER [720/1666] 
LOSS: 0.00060601, TIME: 11365.2s
STEP [34060], EPOCH [21/100], ITER [740/1666] 
LOSS: 0.00093124, TIME: 11372.5s
STEP [34080], EPOCH [21/100], ITER [760/1666] 
LOSS: 0.00069017, TIME: 11379.8s
STEP [34100], EPOCH [21/100], ITER [780/1666] 
LOSS: 0.00100745, TIME: 11387.1s
STEP [34120], EPOCH [21/100], ITER [800/1666] 
LOSS: 0.00080389, TIME: 11394.4s
STEP [34140], EPOCH [21/100], ITER [820/1666] 
LOSS: 0.00065167, TIME: 11401.8s
STEP [34160], EPOCH [21/100], ITER [840/1666] 
LOSS: 0.00072016, TIME: 11409.1s
STEP [34180], EPOCH [21/100], ITER [860/1666] 
LOSS: 0.00086718, TIME: 11416.4s
STEP [34200], EPOCH [21/100], ITER [880/1666] 
LOSS: 0.00083512, TIME: 11423.7s
STEP [34220], EPOCH [21/100], ITER [900/1666] 
LOSS: 0.00097166, TIME: 11431.0s
STEP [34240], EPOCH [21/100], ITER [920/1666] 
LOSS: 0.00050583, TIME: 11438.3s
STEP [34260], EPOCH [21/100], ITER [940/1666] 
LOSS: 0.00088604, TIME: 11445.6s
STEP [34280], EPOCH [21/100], ITER [960/1666] 
LOSS: 0.00104332, TIME: 11452.9s
STEP [34300], EPOCH [21/100], ITER [980/1666] 
LOSS: 0.00081757, TIME: 11460.2s
STEP [34320], EPOCH [21/100], ITER [1000/1666] 
LOSS: 0.00087895, TIME: 11467.6s
STEP [34340], EPOCH [21/100], ITER [1020/1666] 
LOSS: 0.00077051, TIME: 11474.9s
STEP [34360], EPOCH [21/100], ITER [1040/1666] 
LOSS: 0.00082878, TIME: 11482.2s
STEP [34380], EPOCH [21/100], ITER [1060/1666] 
LOSS: 0.00098935, TIME: 11489.5s
STEP [34400], EPOCH [21/100], ITER [1080/1666] 
LOSS: 0.00051746, TIME: 11496.8s
STEP [34420], EPOCH [21/100], ITER [1100/1666] 
LOSS: 0.00072838, TIME: 11504.1s
STEP [34440], EPOCH [21/100], ITER [1120/1666] 
LOSS: 0.00052340, TIME: 11511.5s
STEP [34460], EPOCH [21/100], ITER [1140/1666] 
LOSS: 0.00094795, TIME: 11518.8s
STEP [34480], EPOCH [21/100], ITER [1160/1666] 
LOSS: 0.00093926, TIME: 11526.0s
STEP [34500], EPOCH [21/100], ITER [1180/1666] 
LOSS: 0.00081365, TIME: 11533.3s
STEP [34520], EPOCH [21/100], ITER [1200/1666] 
LOSS: 0.00083317, TIME: 11540.7s
STEP [34540], EPOCH [21/100], ITER [1220/1666] 
LOSS: 0.00061021, TIME: 11548.0s
STEP [34560], EPOCH [21/100], ITER [1240/1666] 
LOSS: 0.00089534, TIME: 11555.3s
STEP [34580], EPOCH [21/100], ITER [1260/1666] 
LOSS: 0.00063551, TIME: 11562.6s
STEP [34600], EPOCH [21/100], ITER [1280/1666] 
LOSS: 0.00083004, TIME: 11569.9s
STEP [34620], EPOCH [21/100], ITER [1300/1666] 
LOSS: 0.00064164, TIME: 11577.2s
STEP [34640], EPOCH [21/100], ITER [1320/1666] 
LOSS: 0.00101617, TIME: 11584.6s
STEP [34660], EPOCH [21/100], ITER [1340/1666] 
LOSS: 0.00075484, TIME: 11591.9s
STEP [34680], EPOCH [21/100], ITER [1360/1666] 
LOSS: 0.00132753, TIME: 11599.2s
STEP [34700], EPOCH [21/100], ITER [1380/1666] 
LOSS: 0.00146667, TIME: 11606.4s
STEP [34720], EPOCH [21/100], ITER [1400/1666] 
LOSS: 0.00107047, TIME: 11613.8s
STEP [34740], EPOCH [21/100], ITER [1420/1666] 
LOSS: 0.00062910, TIME: 11621.1s
STEP [34760], EPOCH [21/100], ITER [1440/1666] 
LOSS: 0.00084850, TIME: 11628.4s
STEP [34780], EPOCH [21/100], ITER [1460/1666] 
LOSS: 0.00106667, TIME: 11635.7s
STEP [34800], EPOCH [21/100], ITER [1480/1666] 
LOSS: 0.00084085, TIME: 11643.0s
STEP [34820], EPOCH [21/100], ITER [1500/1666] 
LOSS: 0.00077583, TIME: 11650.4s
STEP [34840], EPOCH [21/100], ITER [1520/1666] 
LOSS: 0.00086200, TIME: 11657.7s
STEP [34860], EPOCH [21/100], ITER [1540/1666] 
LOSS: 0.00070265, TIME: 11665.0s
STEP [34880], EPOCH [21/100], ITER [1560/1666] 
LOSS: 0.00090680, TIME: 11672.3s
STEP [34900], EPOCH [21/100], ITER [1580/1666] 
LOSS: 0.00095438, TIME: 11679.6s
STEP [34920], EPOCH [21/100], ITER [1600/1666] 
LOSS: 0.00072112, TIME: 11686.9s
STEP [34940], EPOCH [21/100], ITER [1620/1666] 
LOSS: 0.00089344, TIME: 11694.2s
STEP [34960], EPOCH [21/100], ITER [1640/1666] 
LOSS: 0.00109202, TIME: 11701.5s
STEP [34980], EPOCH [21/100], ITER [1660/1666] 
LOSS: 0.00092194, TIME: 11708.9s
STEP [35000], EPOCH [22/100], ITER [14/1666] 
LOSS: 0.00086508, TIME: 11724.6s
STEP [35020], EPOCH [22/100], ITER [34/1666] 
LOSS: 0.00094337, TIME: 11732.0s
STEP [35040], EPOCH [22/100], ITER [54/1666] 
LOSS: 0.00078212, TIME: 11739.3s
STEP [35060], EPOCH [22/100], ITER [74/1666] 
LOSS: 0.00098884, TIME: 11746.6s
STEP [35080], EPOCH [22/100], ITER [94/1666] 
LOSS: 0.00113620, TIME: 11753.9s
STEP [35100], EPOCH [22/100], ITER [114/1666] 
LOSS: 0.00079033, TIME: 11761.2s
STEP [35120], EPOCH [22/100], ITER [134/1666] 
LOSS: 0.00056534, TIME: 11768.5s
STEP [35140], EPOCH [22/100], ITER [154/1666] 
LOSS: 0.00123049, TIME: 11775.8s
STEP [35160], EPOCH [22/100], ITER [174/1666] 
LOSS: 0.00136848, TIME: 11783.1s
STEP [35180], EPOCH [22/100], ITER [194/1666] 
LOSS: 0.00090695, TIME: 11790.5s
STEP [35200], EPOCH [22/100], ITER [214/1666] 
LOSS: 0.00102776, TIME: 11797.8s
STEP [35220], EPOCH [22/100], ITER [234/1666] 
LOSS: 0.00059359, TIME: 11805.1s
STEP [35240], EPOCH [22/100], ITER [254/1666] 
LOSS: 0.00070109, TIME: 11812.4s
STEP [35260], EPOCH [22/100], ITER [274/1666] 
LOSS: 0.00117876, TIME: 11819.7s
STEP [35280], EPOCH [22/100], ITER [294/1666] 
LOSS: 0.00066536, TIME: 11827.1s
STEP [35300], EPOCH [22/100], ITER [314/1666] 
LOSS: 0.00075563, TIME: 11834.3s
STEP [35320], EPOCH [22/100], ITER [334/1666] 
LOSS: 0.00066583, TIME: 11841.7s
STEP [35340], EPOCH [22/100], ITER [354/1666] 
LOSS: 0.00066129, TIME: 11849.0s
STEP [35360], EPOCH [22/100], ITER [374/1666] 
LOSS: 0.00076433, TIME: 11856.3s
STEP [35380], EPOCH [22/100], ITER [394/1666] 
LOSS: 0.00099970, TIME: 11863.6s
STEP [35400], EPOCH [22/100], ITER [414/1666] 
LOSS: 0.00088459, TIME: 11870.9s
STEP [35420], EPOCH [22/100], ITER [434/1666] 
LOSS: 0.00080549, TIME: 11878.3s
STEP [35440], EPOCH [22/100], ITER [454/1666] 
LOSS: 0.00067965, TIME: 11885.6s
STEP [35460], EPOCH [22/100], ITER [474/1666] 
LOSS: 0.00088303, TIME: 11892.9s
STEP [35480], EPOCH [22/100], ITER [494/1666] 
LOSS: 0.00063879, TIME: 11900.2s
STEP [35500], EPOCH [22/100], ITER [514/1666] 
LOSS: 0.00092520, TIME: 11907.5s
STEP [35520], EPOCH [22/100], ITER [534/1666] 
LOSS: 0.00165291, TIME: 11914.8s
STEP [35540], EPOCH [22/100], ITER [554/1666] 
LOSS: 0.00075385, TIME: 11922.1s
STEP [35560], EPOCH [22/100], ITER [574/1666] 
LOSS: 0.00055147, TIME: 11929.5s
STEP [35580], EPOCH [22/100], ITER [594/1666] 
LOSS: 0.00067408, TIME: 11936.8s
STEP [35600], EPOCH [22/100], ITER [614/1666] 
LOSS: 0.00045649, TIME: 11944.1s
STEP [35620], EPOCH [22/100], ITER [634/1666] 
LOSS: 0.00111013, TIME: 11951.4s
STEP [35640], EPOCH [22/100], ITER [654/1666] 
LOSS: 0.00150131, TIME: 11958.7s
STEP [35660], EPOCH [22/100], ITER [674/1666] 
LOSS: 0.00054653, TIME: 11966.1s
STEP [35680], EPOCH [22/100], ITER [694/1666] 
LOSS: 0.00072558, TIME: 11973.4s
STEP [35700], EPOCH [22/100], ITER [714/1666] 
LOSS: 0.00095354, TIME: 11980.7s
STEP [35720], EPOCH [22/100], ITER [734/1666] 
LOSS: 0.00065962, TIME: 11988.0s
STEP [35740], EPOCH [22/100], ITER [754/1666] 
LOSS: 0.00102107, TIME: 11995.3s
STEP [35760], EPOCH [22/100], ITER [774/1666] 
LOSS: 0.00081400, TIME: 12002.6s
STEP [35780], EPOCH [22/100], ITER [794/1666] 
LOSS: 0.00073371, TIME: 12010.0s
STEP [35800], EPOCH [22/100], ITER [814/1666] 
LOSS: 0.00087280, TIME: 12017.3s
STEP [35820], EPOCH [22/100], ITER [834/1666] 
LOSS: 0.00099599, TIME: 12024.6s
STEP [35840], EPOCH [22/100], ITER [854/1666] 
LOSS: 0.00080374, TIME: 12031.9s
STEP [35860], EPOCH [22/100], ITER [874/1666] 
LOSS: 0.00074614, TIME: 12039.3s
STEP [35880], EPOCH [22/100], ITER [894/1666] 
LOSS: 0.00071646, TIME: 12046.6s
STEP [35900], EPOCH [22/100], ITER [914/1666] 
LOSS: 0.00098941, TIME: 12053.9s
STEP [35920], EPOCH [22/100], ITER [934/1666] 
LOSS: 0.00082951, TIME: 12061.2s
STEP [35940], EPOCH [22/100], ITER [954/1666] 
LOSS: 0.00090863, TIME: 12068.5s
STEP [35960], EPOCH [22/100], ITER [974/1666] 
LOSS: 0.00093593, TIME: 12075.8s
STEP [35980], EPOCH [22/100], ITER [994/1666] 
LOSS: 0.00145849, TIME: 12083.2s
STEP [36000], EPOCH [22/100], ITER [1014/1666] 
LOSS: 0.00076146, TIME: 12090.5s
STEP [36020], EPOCH [22/100], ITER [1034/1666] 
LOSS: 0.00109026, TIME: 12097.8s
STEP [36040], EPOCH [22/100], ITER [1054/1666] 
LOSS: 0.00094467, TIME: 12105.2s
STEP [36060], EPOCH [22/100], ITER [1074/1666] 
LOSS: 0.00133696, TIME: 12112.5s
STEP [36080], EPOCH [22/100], ITER [1094/1666] 
LOSS: 0.00061920, TIME: 12119.8s
STEP [36100], EPOCH [22/100], ITER [1114/1666] 
LOSS: 0.00150347, TIME: 12127.1s
STEP [36120], EPOCH [22/100], ITER [1134/1666] 
LOSS: 0.00118233, TIME: 12134.4s
STEP [36140], EPOCH [22/100], ITER [1154/1666] 
LOSS: 0.00084679, TIME: 12141.5s
STEP [36160], EPOCH [22/100], ITER [1174/1666] 
LOSS: 0.00145080, TIME: 12145.4s
STEP [36180], EPOCH [22/100], ITER [1194/1666] 
LOSS: 0.00094580, TIME: 12152.1s
STEP [36200], EPOCH [22/100], ITER [1214/1666] 
LOSS: 0.00096684, TIME: 12159.4s
STEP [36220], EPOCH [22/100], ITER [1234/1666] 
LOSS: 0.00079647, TIME: 12166.7s
STEP [36240], EPOCH [22/100], ITER [1254/1666] 
LOSS: 0.00147597, TIME: 12174.0s
STEP [36260], EPOCH [22/100], ITER [1274/1666] 
LOSS: 0.00087071, TIME: 12181.4s
STEP [36280], EPOCH [22/100], ITER [1294/1666] 
LOSS: 0.00101661, TIME: 12188.7s
STEP [36300], EPOCH [22/100], ITER [1314/1666] 
LOSS: 0.00099788, TIME: 12196.0s
STEP [36320], EPOCH [22/100], ITER [1334/1666] 
LOSS: 0.00066741, TIME: 12203.3s
STEP [36340], EPOCH [22/100], ITER [1354/1666] 
LOSS: 0.00082005, TIME: 12210.7s
STEP [36360], EPOCH [22/100], ITER [1374/1666] 
LOSS: 0.00088737, TIME: 12218.0s
STEP [36380], EPOCH [22/100], ITER [1394/1666] 
LOSS: 0.00085891, TIME: 12225.3s
STEP [36400], EPOCH [22/100], ITER [1414/1666] 
LOSS: 0.00098198, TIME: 12232.6s
STEP [36420], EPOCH [22/100], ITER [1434/1666] 
LOSS: 0.00098913, TIME: 12240.0s
STEP [36440], EPOCH [22/100], ITER [1454/1666] 
LOSS: 0.00066041, TIME: 12247.3s
STEP [36460], EPOCH [22/100], ITER [1474/1666] 
LOSS: 0.00119104, TIME: 12254.6s
STEP [36480], EPOCH [22/100], ITER [1494/1666] 
LOSS: 0.00134636, TIME: 12261.9s
STEP [36500], EPOCH [22/100], ITER [1514/1666] 
LOSS: 0.00065881, TIME: 12269.3s
STEP [36520], EPOCH [22/100], ITER [1534/1666] 
LOSS: 0.00077727, TIME: 12276.6s
STEP [36540], EPOCH [22/100], ITER [1554/1666] 
LOSS: 0.00079172, TIME: 12283.9s
STEP [36560], EPOCH [22/100], ITER [1574/1666] 
LOSS: 0.00103677, TIME: 12291.2s
STEP [36580], EPOCH [22/100], ITER [1594/1666] 
LOSS: 0.00077289, TIME: 12298.6s
STEP [36600], EPOCH [22/100], ITER [1614/1666] 
LOSS: 0.00074117, TIME: 12305.9s
STEP [36620], EPOCH [22/100], ITER [1634/1666] 
LOSS: 0.00066879, TIME: 12313.2s
STEP [36640], EPOCH [22/100], ITER [1654/1666] 
LOSS: 0.00114165, TIME: 12320.5s
STEP [36660], EPOCH [23/100], ITER [8/1666] 
LOSS: 0.00076940, TIME: 12336.6s
STEP [36680], EPOCH [23/100], ITER [28/1666] 
LOSS: 0.00084496, TIME: 12344.0s
STEP [36700], EPOCH [23/100], ITER [48/1666] 
LOSS: 0.00069647, TIME: 12351.3s
STEP [36720], EPOCH [23/100], ITER [68/1666] 
LOSS: 0.00109168, TIME: 12358.6s
STEP [36740], EPOCH [23/100], ITER [88/1666] 
LOSS: 0.00117606, TIME: 12365.9s
STEP [36760], EPOCH [23/100], ITER [108/1666] 
LOSS: 0.00081150, TIME: 12373.2s
STEP [36780], EPOCH [23/100], ITER [128/1666] 
LOSS: 0.00051577, TIME: 12380.5s
STEP [36800], EPOCH [23/100], ITER [148/1666] 
LOSS: 0.00104744, TIME: 12387.9s
STEP [36820], EPOCH [23/100], ITER [168/1666] 
LOSS: 0.00100656, TIME: 12395.2s
STEP [36840], EPOCH [23/100], ITER [188/1666] 
LOSS: 0.00078173, TIME: 12402.5s
STEP [36860], EPOCH [23/100], ITER [208/1666] 
LOSS: 0.00088221, TIME: 12409.9s
STEP [36880], EPOCH [23/100], ITER [228/1666] 
LOSS: 0.00103268, TIME: 12417.2s
STEP [36900], EPOCH [23/100], ITER [248/1666] 
LOSS: 0.00118926, TIME: 12424.5s
STEP [36920], EPOCH [23/100], ITER [268/1666] 
LOSS: 0.00090601, TIME: 12431.8s
STEP [36940], EPOCH [23/100], ITER [288/1666] 
LOSS: 0.00077253, TIME: 12439.2s
STEP [36960], EPOCH [23/100], ITER [308/1666] 
LOSS: 0.00076137, TIME: 12446.5s
STEP [36980], EPOCH [23/100], ITER [328/1666] 
LOSS: 0.00104026, TIME: 12453.7s
STEP [37000], EPOCH [23/100], ITER [348/1666] 
LOSS: 0.00067228, TIME: 12461.1s
STEP [37020], EPOCH [23/100], ITER [368/1666] 
LOSS: 0.00079407, TIME: 12468.4s
STEP [37040], EPOCH [23/100], ITER [388/1666] 
LOSS: 0.00094994, TIME: 12475.7s
STEP [37060], EPOCH [23/100], ITER [408/1666] 
LOSS: 0.00074588, TIME: 12483.1s
STEP [37080], EPOCH [23/100], ITER [428/1666] 
LOSS: 0.00098558, TIME: 12490.4s
STEP [37100], EPOCH [23/100], ITER [448/1666] 
LOSS: 0.00084941, TIME: 12497.7s
STEP [37120], EPOCH [23/100], ITER [468/1666] 
LOSS: 0.00114882, TIME: 12505.1s
STEP [37140], EPOCH [23/100], ITER [488/1666] 
LOSS: 0.00078279, TIME: 12512.4s
STEP [37160], EPOCH [23/100], ITER [508/1666] 
LOSS: 0.00087936, TIME: 12519.7s
STEP [37180], EPOCH [23/100], ITER [528/1666] 
LOSS: 0.00084258, TIME: 12527.0s
STEP [37200], EPOCH [23/100], ITER [548/1666] 
LOSS: 0.00054935, TIME: 12534.4s
STEP [37220], EPOCH [23/100], ITER [568/1666] 
LOSS: 0.00083107, TIME: 12541.7s
STEP [37240], EPOCH [23/100], ITER [588/1666] 
LOSS: 0.00088334, TIME: 12549.0s
STEP [37260], EPOCH [23/100], ITER [608/1666] 
LOSS: 0.00160430, TIME: 12556.3s
STEP [37280], EPOCH [23/100], ITER [628/1666] 
LOSS: 0.00103621, TIME: 12563.6s
STEP [37300], EPOCH [23/100], ITER [648/1666] 
LOSS: 0.00082223, TIME: 12571.0s
STEP [37320], EPOCH [23/100], ITER [668/1666] 
LOSS: 0.00099002, TIME: 12578.3s
STEP [37340], EPOCH [23/100], ITER [688/1666] 
LOSS: 0.00134527, TIME: 12585.6s
STEP [37360], EPOCH [23/100], ITER [708/1666] 
LOSS: 0.00038245, TIME: 12593.0s
STEP [37380], EPOCH [23/100], ITER [728/1666] 
LOSS: 0.00077592, TIME: 12600.3s
STEP [37400], EPOCH [23/100], ITER [748/1666] 
LOSS: 0.00095270, TIME: 12607.6s
STEP [37420], EPOCH [23/100], ITER [768/1666] 
LOSS: 0.00147844, TIME: 12614.9s
STEP [37440], EPOCH [23/100], ITER [788/1666] 
LOSS: 0.00111933, TIME: 12622.2s
STEP [37460], EPOCH [23/100], ITER [808/1666] 
LOSS: 0.00064952, TIME: 12629.5s
STEP [37480], EPOCH [23/100], ITER [828/1666] 
LOSS: 0.00095512, TIME: 12636.9s
STEP [37500], EPOCH [23/100], ITER [848/1666] 
LOSS: 0.00082656, TIME: 12644.2s
STEP [37520], EPOCH [23/100], ITER [868/1666] 
LOSS: 0.00115248, TIME: 12651.5s
STEP [37540], EPOCH [23/100], ITER [888/1666] 
LOSS: 0.00064098, TIME: 12658.8s
STEP [37560], EPOCH [23/100], ITER [908/1666] 
LOSS: 0.00118057, TIME: 12666.1s
STEP [37580], EPOCH [23/100], ITER [928/1666] 
LOSS: 0.00065524, TIME: 12673.5s
STEP [37600], EPOCH [23/100], ITER [948/1666] 
LOSS: 0.00089863, TIME: 12680.8s
STEP [37620], EPOCH [23/100], ITER [968/1666] 
LOSS: 0.00075127, TIME: 12688.1s
STEP [37640], EPOCH [23/100], ITER [988/1666] 
LOSS: 0.00095380, TIME: 12695.4s
STEP [37660], EPOCH [23/100], ITER [1008/1666] 
LOSS: 0.00129439, TIME: 12702.7s
STEP [37680], EPOCH [23/100], ITER [1028/1666] 
LOSS: 0.00071472, TIME: 12710.0s
STEP [37700], EPOCH [23/100], ITER [1048/1666] 
LOSS: 0.00082806, TIME: 12717.3s
STEP [37720], EPOCH [23/100], ITER [1068/1666] 
LOSS: 0.00084979, TIME: 12724.7s
STEP [37740], EPOCH [23/100], ITER [1088/1666] 
LOSS: 0.00085886, TIME: 12732.0s
STEP [37760], EPOCH [23/100], ITER [1108/1666] 
LOSS: 0.00063079, TIME: 12739.3s
STEP [37780], EPOCH [23/100], ITER [1128/1666] 
LOSS: 0.00097089, TIME: 12746.6s
STEP [37800], EPOCH [23/100], ITER [1148/1666] 
LOSS: 0.00097394, TIME: 12753.9s
STEP [37820], EPOCH [23/100], ITER [1168/1666] 
LOSS: 0.00080515, TIME: 12761.3s
STEP [37840], EPOCH [23/100], ITER [1188/1666] 
LOSS: 0.00095630, TIME: 12768.5s
STEP [37860], EPOCH [23/100], ITER [1208/1666] 
LOSS: 0.00045657, TIME: 12775.9s
STEP [37880], EPOCH [23/100], ITER [1228/1666] 
LOSS: 0.00056291, TIME: 12783.2s
STEP [37900], EPOCH [23/100], ITER [1248/1666] 
LOSS: 0.00100302, TIME: 12790.5s
STEP [37920], EPOCH [23/100], ITER [1268/1666] 
LOSS: 0.00077799, TIME: 12797.8s
STEP [37940], EPOCH [23/100], ITER [1288/1666] 
LOSS: 0.00073497, TIME: 12805.1s
STEP [37960], EPOCH [23/100], ITER [1308/1666] 
LOSS: 0.00079621, TIME: 12812.5s
STEP [37980], EPOCH [23/100], ITER [1328/1666] 
LOSS: 0.00088048, TIME: 12819.8s
STEP [38000], EPOCH [23/100], ITER [1348/1666] 
LOSS: 0.00083514, TIME: 12827.1s
STEP [38020], EPOCH [23/100], ITER [1368/1666] 
LOSS: 0.00087762, TIME: 12834.5s
STEP [38040], EPOCH [23/100], ITER [1388/1666] 
LOSS: 0.00092848, TIME: 12841.8s
STEP [38060], EPOCH [23/100], ITER [1408/1666] 
LOSS: 0.00120815, TIME: 12849.1s
STEP [38080], EPOCH [23/100], ITER [1428/1666] 
LOSS: 0.00097157, TIME: 12856.4s
STEP [38100], EPOCH [23/100], ITER [1448/1666] 
LOSS: 0.00087649, TIME: 12863.8s
STEP [38120], EPOCH [23/100], ITER [1468/1666] 
LOSS: 0.00123070, TIME: 12871.1s
STEP [38140], EPOCH [23/100], ITER [1488/1666] 
LOSS: 0.00102393, TIME: 12878.4s
STEP [38160], EPOCH [23/100], ITER [1508/1666] 
LOSS: 0.00078468, TIME: 12885.7s
STEP [38180], EPOCH [23/100], ITER [1528/1666] 
LOSS: 0.00078489, TIME: 12893.0s
STEP [38200], EPOCH [23/100], ITER [1548/1666] 
LOSS: 0.00096283, TIME: 12900.4s
STEP [38220], EPOCH [23/100], ITER [1568/1666] 
LOSS: 0.00080129, TIME: 12907.7s
STEP [38240], EPOCH [23/100], ITER [1588/1666] 
LOSS: 0.00072264, TIME: 12915.0s
STEP [38260], EPOCH [23/100], ITER [1608/1666] 
LOSS: 0.00088654, TIME: 12922.4s
STEP [38280], EPOCH [23/100], ITER [1628/1666] 
LOSS: 0.00084546, TIME: 12929.6s
STEP [38300], EPOCH [23/100], ITER [1648/1666] 
LOSS: 0.00060767, TIME: 12937.0s
STEP [38320], EPOCH [24/100], ITER [2/1666] 
LOSS: 0.00067195, TIME: 12952.7s
STEP [38340], EPOCH [24/100], ITER [22/1666] 
LOSS: 0.00070092, TIME: 12960.0s
STEP [38360], EPOCH [24/100], ITER [42/1666] 
LOSS: 0.00104043, TIME: 12967.4s
STEP [38380], EPOCH [24/100], ITER [62/1666] 
LOSS: 0.00074193, TIME: 12974.7s
STEP [38400], EPOCH [24/100], ITER [82/1666] 
LOSS: 0.00070357, TIME: 12982.0s
STEP [38420], EPOCH [24/100], ITER [102/1666] 
LOSS: 0.00080470, TIME: 12989.3s
STEP [38440], EPOCH [24/100], ITER [122/1666] 
LOSS: 0.00088778, TIME: 12996.6s
STEP [38460], EPOCH [24/100], ITER [142/1666] 
LOSS: 0.00077847, TIME: 13003.9s
STEP [38480], EPOCH [24/100], ITER [162/1666] 
LOSS: 0.00076014, TIME: 13011.2s
STEP [38500], EPOCH [24/100], ITER [182/1666] 
LOSS: 0.00081398, TIME: 13018.6s
STEP [38520], EPOCH [24/100], ITER [202/1666] 
LOSS: 0.00069992, TIME: 13025.9s
STEP [38540], EPOCH [24/100], ITER [222/1666] 
LOSS: 0.00073313, TIME: 13033.2s
STEP [38560], EPOCH [24/100], ITER [242/1666] 
LOSS: 0.00037274, TIME: 13040.5s
STEP [38580], EPOCH [24/100], ITER [262/1666] 
LOSS: 0.00093739, TIME: 13047.8s
STEP [38600], EPOCH [24/100], ITER [282/1666] 
LOSS: 0.00082588, TIME: 13055.2s
STEP [38620], EPOCH [24/100], ITER [302/1666] 
LOSS: 0.00064985, TIME: 13062.5s
STEP [38640], EPOCH [24/100], ITER [322/1666] 
LOSS: 0.00087394, TIME: 13069.8s
STEP [38660], EPOCH [24/100], ITER [342/1666] 
LOSS: 0.00126186, TIME: 13077.1s
STEP [38680], EPOCH [24/100], ITER [362/1666] 
LOSS: 0.00079517, TIME: 13084.4s
STEP [38700], EPOCH [24/100], ITER [382/1666] 
LOSS: 0.00095007, TIME: 13091.7s
STEP [38720], EPOCH [24/100], ITER [402/1666] 
LOSS: 0.00053239, TIME: 13099.0s
STEP [38740], EPOCH [24/100], ITER [422/1666] 
LOSS: 0.00079818, TIME: 13106.3s
STEP [38760], EPOCH [24/100], ITER [442/1666] 
LOSS: 0.00077592, TIME: 13113.7s
STEP [38780], EPOCH [24/100], ITER [462/1666] 
LOSS: 0.00127428, TIME: 13121.0s
STEP [38800], EPOCH [24/100], ITER [482/1666] 
LOSS: 0.00122939, TIME: 13128.3s
STEP [38820], EPOCH [24/100], ITER [502/1666] 
LOSS: 0.00104451, TIME: 13135.6s
STEP [38840], EPOCH [24/100], ITER [522/1666] 
LOSS: 0.00064299, TIME: 13143.0s
STEP [38860], EPOCH [24/100], ITER [542/1666] 
LOSS: 0.00132778, TIME: 13150.3s
STEP [38880], EPOCH [24/100], ITER [562/1666] 
LOSS: 0.00104544, TIME: 13157.5s
STEP [38900], EPOCH [24/100], ITER [582/1666] 
LOSS: 0.00055802, TIME: 13164.9s
STEP [38920], EPOCH [24/100], ITER [602/1666] 
LOSS: 0.00069752, TIME: 13172.2s
STEP [38940], EPOCH [24/100], ITER [622/1666] 
LOSS: 0.00115013, TIME: 13179.5s
STEP [38960], EPOCH [24/100], ITER [642/1666] 
LOSS: 0.00105453, TIME: 13186.8s
STEP [38980], EPOCH [24/100], ITER [662/1666] 
LOSS: 0.00122091, TIME: 13194.2s
STEP [39000], EPOCH [24/100], ITER [682/1666] 
LOSS: 0.00117847, TIME: 13201.5s
STEP [39020], EPOCH [24/100], ITER [702/1666] 
LOSS: 0.00190004, TIME: 13208.8s
STEP [39040], EPOCH [24/100], ITER [722/1666] 
LOSS: 0.00056557, TIME: 13216.1s
STEP [39060], EPOCH [24/100], ITER [742/1666] 
LOSS: 0.00135198, TIME: 13223.5s
STEP [39080], EPOCH [24/100], ITER [762/1666] 
LOSS: 0.00088599, TIME: 13230.7s
STEP [39100], EPOCH [24/100], ITER [782/1666] 
LOSS: 0.00066122, TIME: 13238.1s
STEP [39120], EPOCH [24/100], ITER [802/1666] 
LOSS: 0.00073991, TIME: 13245.4s
STEP [39140], EPOCH [24/100], ITER [822/1666] 
LOSS: 0.00098553, TIME: 13252.7s
STEP [39160], EPOCH [24/100], ITER [842/1666] 
LOSS: 0.00097163, TIME: 13260.0s
STEP [39180], EPOCH [24/100], ITER [862/1666] 
LOSS: 0.00051399, TIME: 13267.4s
STEP [39200], EPOCH [24/100], ITER [882/1666] 
LOSS: 0.00096028, TIME: 13274.7s
STEP [39220], EPOCH [24/100], ITER [902/1666] 
LOSS: 0.00083147, TIME: 13282.0s
STEP [39240], EPOCH [24/100], ITER [922/1666] 
LOSS: 0.00079556, TIME: 13289.3s
STEP [39260], EPOCH [24/100], ITER [942/1666] 
LOSS: 0.00191642, TIME: 13296.6s
STEP [39280], EPOCH [24/100], ITER [962/1666] 
LOSS: 0.00065015, TIME: 13303.9s
STEP [39300], EPOCH [24/100], ITER [982/1666] 
LOSS: 0.00091821, TIME: 13311.2s
STEP [39320], EPOCH [24/100], ITER [1002/1666] 
LOSS: 0.00080306, TIME: 13318.5s
STEP [39340], EPOCH [24/100], ITER [1022/1666] 
LOSS: 0.00076023, TIME: 13325.9s
STEP [39360], EPOCH [24/100], ITER [1042/1666] 
LOSS: 0.00075849, TIME: 13333.2s
STEP [39380], EPOCH [24/100], ITER [1062/1666] 
LOSS: 0.00095067, TIME: 13340.5s
STEP [39400], EPOCH [24/100], ITER [1082/1666] 
LOSS: 0.00089714, TIME: 13347.8s
STEP [39420], EPOCH [24/100], ITER [1102/1666] 
LOSS: 0.00112644, TIME: 13355.1s
STEP [39440], EPOCH [24/100], ITER [1122/1666] 
LOSS: 0.00102006, TIME: 13362.5s
STEP [39460], EPOCH [24/100], ITER [1142/1666] 
LOSS: 0.00070679, TIME: 13369.8s
STEP [39480], EPOCH [24/100], ITER [1162/1666] 
LOSS: 0.00073610, TIME: 13377.1s
STEP [39500], EPOCH [24/100], ITER [1182/1666] 
LOSS: 0.00208020, TIME: 13384.5s
STEP [39520], EPOCH [24/100], ITER [1202/1666] 
LOSS: 0.00050077, TIME: 13391.7s
STEP [39540], EPOCH [24/100], ITER [1222/1666] 
LOSS: 0.00079715, TIME: 13399.0s
STEP [39560], EPOCH [24/100], ITER [1242/1666] 
LOSS: 0.00088090, TIME: 13406.4s
STEP [39580], EPOCH [24/100], ITER [1262/1666] 
LOSS: 0.00078608, TIME: 13413.7s
STEP [39600], EPOCH [24/100], ITER [1282/1666] 
LOSS: 0.00106138, TIME: 13421.0s
STEP [39620], EPOCH [24/100], ITER [1302/1666] 
LOSS: 0.00126295, TIME: 13428.3s
STEP [39640], EPOCH [24/100], ITER [1322/1666] 
LOSS: 0.00108314, TIME: 13435.7s
STEP [39660], EPOCH [24/100], ITER [1342/1666] 
LOSS: 0.00079877, TIME: 13443.0s
STEP [39680], EPOCH [24/100], ITER [1362/1666] 
LOSS: 0.00085250, TIME: 13450.3s
STEP [39700], EPOCH [24/100], ITER [1382/1666] 
LOSS: 0.00076137, TIME: 13457.6s
STEP [39720], EPOCH [24/100], ITER [1402/1666] 
LOSS: 0.00047682, TIME: 13465.0s
STEP [39740], EPOCH [24/100], ITER [1422/1666] 
LOSS: 0.00073411, TIME: 13472.2s
STEP [39760], EPOCH [24/100], ITER [1442/1666] 
LOSS: 0.00073902, TIME: 13479.6s
STEP [39780], EPOCH [24/100], ITER [1462/1666] 
LOSS: 0.00076766, TIME: 13486.9s
STEP [39800], EPOCH [24/100], ITER [1482/1666] 
LOSS: 0.00087437, TIME: 13494.2s
STEP [39820], EPOCH [24/100], ITER [1502/1666] 
LOSS: 0.00078973, TIME: 13501.6s
STEP [39840], EPOCH [24/100], ITER [1522/1666] 
LOSS: 0.00054805, TIME: 13508.9s
STEP [39860], EPOCH [24/100], ITER [1542/1666] 
LOSS: 0.00162496, TIME: 13516.2s
STEP [39880], EPOCH [24/100], ITER [1562/1666] 
LOSS: 0.00136956, TIME: 13523.5s
STEP [39900], EPOCH [24/100], ITER [1582/1666] 
LOSS: 0.00054769, TIME: 13530.9s
STEP [39920], EPOCH [24/100], ITER [1602/1666] 
LOSS: 0.00072678, TIME: 13538.2s
STEP [39940], EPOCH [24/100], ITER [1622/1666] 
LOSS: 0.00087324, TIME: 13545.5s
STEP [39960], EPOCH [24/100], ITER [1642/1666] 
LOSS: 0.00084745, TIME: 13552.8s
STEP [39980], EPOCH [24/100], ITER [1662/1666] 
LOSS: 0.00060035, TIME: 13560.1s
STEP [40000], EPOCH [25/100], ITER [16/1666] 
LOSS: 0.00095141, TIME: 13575.8s
STEP [40020], EPOCH [25/100], ITER [36/1666] 
LOSS: 0.00062085, TIME: 13583.1s
STEP [40040], EPOCH [25/100], ITER [56/1666] 
LOSS: 0.00074574, TIME: 13590.5s
STEP [40060], EPOCH [25/100], ITER [76/1666] 
LOSS: 0.00088879, TIME: 13597.8s
STEP [40080], EPOCH [25/100], ITER [96/1666] 
LOSS: 0.00060881, TIME: 13605.1s
STEP [40100], EPOCH [25/100], ITER [116/1666] 
LOSS: 0.00101723, TIME: 13612.4s
STEP [40120], EPOCH [25/100], ITER [136/1666] 
LOSS: 0.00073106, TIME: 13619.7s
STEP [40140], EPOCH [25/100], ITER [156/1666] 
LOSS: 0.00074078, TIME: 13627.0s
STEP [40160], EPOCH [25/100], ITER [176/1666] 
LOSS: 0.00067250, TIME: 13634.3s
STEP [40180], EPOCH [25/100], ITER [196/1666] 
LOSS: 0.00087813, TIME: 13641.6s
STEP [40200], EPOCH [25/100], ITER [216/1666] 
LOSS: 0.00049944, TIME: 13649.0s
STEP [40220], EPOCH [25/100], ITER [236/1666] 
LOSS: 0.00098307, TIME: 13656.3s
STEP [40240], EPOCH [25/100], ITER [256/1666] 
LOSS: 0.00063674, TIME: 13663.6s
STEP [40260], EPOCH [25/100], ITER [276/1666] 
LOSS: 0.00078530, TIME: 13670.9s
STEP [40280], EPOCH [25/100], ITER [296/1666] 
LOSS: 0.00072535, TIME: 13678.2s
STEP [40300], EPOCH [25/100], ITER [316/1666] 
LOSS: 0.00094636, TIME: 13685.6s
STEP [40320], EPOCH [25/100], ITER [336/1666] 
LOSS: 0.00115798, TIME: 13692.0s
STEP [40340], EPOCH [25/100], ITER [356/1666] 
LOSS: 0.00072110, TIME: 13695.9s
STEP [40360], EPOCH [25/100], ITER [376/1666] 
LOSS: 0.00095465, TIME: 13703.0s
STEP [40380], EPOCH [25/100], ITER [396/1666] 
LOSS: 0.00093126, TIME: 13710.4s
STEP [40400], EPOCH [25/100], ITER [416/1666] 
LOSS: 0.00088713, TIME: 13717.7s
STEP [40420], EPOCH [25/100], ITER [436/1666] 
LOSS: 0.00102996, TIME: 13725.0s
STEP [40440], EPOCH [25/100], ITER [456/1666] 
LOSS: 0.00085906, TIME: 13732.3s
STEP [40460], EPOCH [25/100], ITER [476/1666] 
LOSS: 0.00159516, TIME: 13739.6s
STEP [40480], EPOCH [25/100], ITER [496/1666] 
LOSS: 0.00115761, TIME: 13747.0s
STEP [40500], EPOCH [25/100], ITER [516/1666] 
LOSS: 0.00071049, TIME: 13754.3s
STEP [40520], EPOCH [25/100], ITER [536/1666] 
LOSS: 0.00098457, TIME: 13761.6s
STEP [40540], EPOCH [25/100], ITER [556/1666] 
LOSS: 0.00090306, TIME: 13769.0s
STEP [40560], EPOCH [25/100], ITER [576/1666] 
LOSS: 0.00035547, TIME: 13776.3s
STEP [40580], EPOCH [25/100], ITER [596/1666] 
LOSS: 0.00067993, TIME: 13783.7s
STEP [40600], EPOCH [25/100], ITER [616/1666] 
LOSS: 0.00062119, TIME: 13791.0s
STEP [40620], EPOCH [25/100], ITER [636/1666] 
LOSS: 0.00071465, TIME: 13798.3s
STEP [40640], EPOCH [25/100], ITER [656/1666] 
LOSS: 0.00097432, TIME: 13805.6s
STEP [40660], EPOCH [25/100], ITER [676/1666] 
LOSS: 0.00091616, TIME: 13813.0s
STEP [40680], EPOCH [25/100], ITER [696/1666] 
LOSS: 0.00134273, TIME: 13820.3s
STEP [40700], EPOCH [25/100], ITER [716/1666] 
LOSS: 0.00078375, TIME: 13827.6s
STEP [40720], EPOCH [25/100], ITER [736/1666] 
LOSS: 0.00134463, TIME: 13835.0s
STEP [40740], EPOCH [25/100], ITER [756/1666] 
LOSS: 0.00100662, TIME: 13842.3s
STEP [40760], EPOCH [25/100], ITER [776/1666] 
LOSS: 0.00070081, TIME: 13849.6s
STEP [40780], EPOCH [25/100], ITER [796/1666] 
LOSS: 0.00035382, TIME: 13857.0s
STEP [40800], EPOCH [25/100], ITER [816/1666] 
LOSS: 0.00125853, TIME: 13864.3s
STEP [40820], EPOCH [25/100], ITER [836/1666] 
LOSS: 0.00089353, TIME: 13871.6s
STEP [40840], EPOCH [25/100], ITER [856/1666] 
LOSS: 0.00103290, TIME: 13878.9s
STEP [40860], EPOCH [25/100], ITER [876/1666] 
LOSS: 0.00067390, TIME: 13886.2s
STEP [40880], EPOCH [25/100], ITER [896/1666] 
LOSS: 0.00074974, TIME: 13893.6s
STEP [40900], EPOCH [25/100], ITER [916/1666] 
LOSS: 0.00083213, TIME: 13900.9s
STEP [40920], EPOCH [25/100], ITER [936/1666] 
LOSS: 0.00088328, TIME: 13908.3s
STEP [40940], EPOCH [25/100], ITER [956/1666] 
LOSS: 0.00055967, TIME: 13915.6s
STEP [40960], EPOCH [25/100], ITER [976/1666] 
LOSS: 0.00087578, TIME: 13922.9s
STEP [40980], EPOCH [25/100], ITER [996/1666] 
LOSS: 0.00099926, TIME: 13930.2s
STEP [41000], EPOCH [25/100], ITER [1016/1666] 
LOSS: 0.00071140, TIME: 13937.5s
STEP [41020], EPOCH [25/100], ITER [1036/1666] 
LOSS: 0.00107080, TIME: 13944.9s
STEP [41040], EPOCH [25/100], ITER [1056/1666] 
LOSS: 0.00072907, TIME: 13952.2s
STEP [41060], EPOCH [25/100], ITER [1076/1666] 
LOSS: 0.00075228, TIME: 13959.6s
STEP [41080], EPOCH [25/100], ITER [1096/1666] 
LOSS: 0.00086010, TIME: 13966.9s
STEP [41100], EPOCH [25/100], ITER [1116/1666] 
LOSS: 0.00092149, TIME: 13974.2s
STEP [41120], EPOCH [25/100], ITER [1136/1666] 
LOSS: 0.00073336, TIME: 13981.5s
STEP [41140], EPOCH [25/100], ITER [1156/1666] 
LOSS: 0.00096302, TIME: 13988.8s
STEP [41160], EPOCH [25/100], ITER [1176/1666] 
LOSS: 0.00065385, TIME: 13996.2s
STEP [41180], EPOCH [25/100], ITER [1196/1666] 
LOSS: 0.00072160, TIME: 14003.5s
STEP [41200], EPOCH [25/100], ITER [1216/1666] 
LOSS: 0.00076445, TIME: 14010.8s
STEP [41220], EPOCH [25/100], ITER [1236/1666] 
LOSS: 0.00084468, TIME: 14018.1s
STEP [41240], EPOCH [25/100], ITER [1256/1666] 
LOSS: 0.00075141, TIME: 14025.4s
STEP [41260], EPOCH [25/100], ITER [1276/1666] 
LOSS: 0.00080753, TIME: 14032.8s
STEP [41280], EPOCH [25/100], ITER [1296/1666] 
LOSS: 0.00099127, TIME: 14040.1s
STEP [41300], EPOCH [25/100], ITER [1316/1666] 
LOSS: 0.00093913, TIME: 14047.4s
STEP [41320], EPOCH [25/100], ITER [1336/1666] 
LOSS: 0.00110134, TIME: 14054.8s
STEP [41340], EPOCH [25/100], ITER [1356/1666] 
LOSS: 0.00084616, TIME: 14062.1s
STEP [41360], EPOCH [25/100], ITER [1376/1666] 
LOSS: 0.00075632, TIME: 14069.4s
STEP [41380], EPOCH [25/100], ITER [1396/1666] 
LOSS: 0.00067511, TIME: 14076.8s
STEP [41400], EPOCH [25/100], ITER [1416/1666] 
LOSS: 0.00108683, TIME: 14084.1s
STEP [41420], EPOCH [25/100], ITER [1436/1666] 
LOSS: 0.00074093, TIME: 14091.3s
STEP [41440], EPOCH [25/100], ITER [1456/1666] 
LOSS: 0.00101522, TIME: 14098.7s
STEP [41460], EPOCH [25/100], ITER [1476/1666] 
LOSS: 0.00137087, TIME: 14106.0s
STEP [41480], EPOCH [25/100], ITER [1496/1666] 
LOSS: 0.00128354, TIME: 14113.4s
STEP [41500], EPOCH [25/100], ITER [1516/1666] 
LOSS: 0.00094503, TIME: 14120.7s
STEP [41520], EPOCH [25/100], ITER [1536/1666] 
LOSS: 0.00103325, TIME: 14128.0s
STEP [41540], EPOCH [25/100], ITER [1556/1666] 
LOSS: 0.00092343, TIME: 14135.4s
STEP [41560], EPOCH [25/100], ITER [1576/1666] 
LOSS: 0.00065474, TIME: 14142.7s
STEP [41580], EPOCH [25/100], ITER [1596/1666] 
LOSS: 0.00076544, TIME: 14150.0s
STEP [41600], EPOCH [25/100], ITER [1616/1666] 
LOSS: 0.00116372, TIME: 14157.3s
STEP [41620], EPOCH [25/100], ITER [1636/1666] 
LOSS: 0.00069734, TIME: 14164.7s
STEP [41640], EPOCH [25/100], ITER [1656/1666] 
LOSS: 0.00107376, TIME: 14172.0s
STEP [41660], EPOCH [26/100], ITER [10/1666] 
LOSS: 0.00127935, TIME: 14188.0s
STEP [41680], EPOCH [26/100], ITER [30/1666] 
LOSS: 0.00147920, TIME: 14195.3s
STEP [41700], EPOCH [26/100], ITER [50/1666] 
LOSS: 0.00077998, TIME: 14202.7s
STEP [41720], EPOCH [26/100], ITER [70/1666] 
LOSS: 0.00059462, TIME: 14210.0s
STEP [41740], EPOCH [26/100], ITER [90/1666] 
LOSS: 0.00106727, TIME: 14217.3s
STEP [41760], EPOCH [26/100], ITER [110/1666] 
LOSS: 0.00090325, TIME: 14224.6s
STEP [41780], EPOCH [26/100], ITER [130/1666] 
LOSS: 0.00075773, TIME: 14232.0s
STEP [41800], EPOCH [26/100], ITER [150/1666] 
LOSS: 0.00101442, TIME: 14239.2s
STEP [41820], EPOCH [26/100], ITER [170/1666] 
LOSS: 0.00070280, TIME: 14246.6s
STEP [41840], EPOCH [26/100], ITER [190/1666] 
LOSS: 0.00083796, TIME: 14253.9s
STEP [41860], EPOCH [26/100], ITER [210/1666] 
LOSS: 0.00094891, TIME: 14261.2s
STEP [41880], EPOCH [26/100], ITER [230/1666] 
LOSS: 0.00084335, TIME: 14268.5s
STEP [41900], EPOCH [26/100], ITER [250/1666] 
LOSS: 0.00069351, TIME: 14275.8s
STEP [41920], EPOCH [26/100], ITER [270/1666] 
LOSS: 0.00088990, TIME: 14283.2s
STEP [41940], EPOCH [26/100], ITER [290/1666] 
LOSS: 0.00055358, TIME: 14290.5s
STEP [41960], EPOCH [26/100], ITER [310/1666] 
LOSS: 0.00093004, TIME: 14297.8s
STEP [41980], EPOCH [26/100], ITER [330/1666] 
LOSS: 0.00069244, TIME: 14305.1s
STEP [42000], EPOCH [26/100], ITER [350/1666] 
LOSS: 0.00113097, TIME: 14312.5s
STEP [42020], EPOCH [26/100], ITER [370/1666] 
LOSS: 0.00112195, TIME: 14319.8s
STEP [42040], EPOCH [26/100], ITER [390/1666] 
LOSS: 0.00103059, TIME: 14327.1s
STEP [42060], EPOCH [26/100], ITER [410/1666] 
LOSS: 0.00104477, TIME: 14334.4s
STEP [42080], EPOCH [26/100], ITER [430/1666] 
LOSS: 0.00089957, TIME: 14341.7s
STEP [42100], EPOCH [26/100], ITER [450/1666] 
LOSS: 0.00098094, TIME: 14349.0s
STEP [42120], EPOCH [26/100], ITER [470/1666] 
LOSS: 0.00077833, TIME: 14356.3s
STEP [42140], EPOCH [26/100], ITER [490/1666] 
LOSS: 0.00072608, TIME: 14363.7s
STEP [42160], EPOCH [26/100], ITER [510/1666] 
LOSS: 0.00081941, TIME: 14371.0s
STEP [42180], EPOCH [26/100], ITER [530/1666] 
LOSS: 0.00131031, TIME: 14378.3s
STEP [42200], EPOCH [26/100], ITER [550/1666] 
LOSS: 0.00078473, TIME: 14385.6s
STEP [42220], EPOCH [26/100], ITER [570/1666] 
LOSS: 0.00109170, TIME: 14393.0s
STEP [42240], EPOCH [26/100], ITER [590/1666] 
LOSS: 0.00110767, TIME: 14400.2s
STEP [42260], EPOCH [26/100], ITER [610/1666] 
LOSS: 0.00139222, TIME: 14407.6s
STEP [42280], EPOCH [26/100], ITER [630/1666] 
LOSS: 0.00095189, TIME: 14414.9s
STEP [42300], EPOCH [26/100], ITER [650/1666] 
LOSS: 0.00107012, TIME: 14422.2s
STEP [42320], EPOCH [26/100], ITER [670/1666] 
LOSS: 0.00085238, TIME: 14429.5s
STEP [42340], EPOCH [26/100], ITER [690/1666] 
LOSS: 0.00075926, TIME: 14436.9s
STEP [42360], EPOCH [26/100], ITER [710/1666] 
LOSS: 0.00106247, TIME: 14444.2s
STEP [42380], EPOCH [26/100], ITER [730/1666] 
LOSS: 0.00086321, TIME: 14451.5s
STEP [42400], EPOCH [26/100], ITER [750/1666] 
LOSS: 0.00087281, TIME: 14458.9s
STEP [42420], EPOCH [26/100], ITER [770/1666] 
LOSS: 0.00164402, TIME: 14466.2s
STEP [42440], EPOCH [26/100], ITER [790/1666] 
LOSS: 0.00072254, TIME: 14473.5s
STEP [42460], EPOCH [26/100], ITER [810/1666] 
LOSS: 0.00059431, TIME: 14480.8s
STEP [42480], EPOCH [26/100], ITER [830/1666] 
LOSS: 0.00091034, TIME: 14488.1s
STEP [42500], EPOCH [26/100], ITER [850/1666] 
LOSS: 0.00072648, TIME: 14495.4s
STEP [42520], EPOCH [26/100], ITER [870/1666] 
LOSS: 0.00110264, TIME: 14502.8s
STEP [42540], EPOCH [26/100], ITER [890/1666] 
LOSS: 0.00100405, TIME: 14510.1s
STEP [42560], EPOCH [26/100], ITER [910/1666] 
LOSS: 0.00082797, TIME: 14517.4s
STEP [42580], EPOCH [26/100], ITER [930/1666] 
LOSS: 0.00080443, TIME: 14524.7s
STEP [42600], EPOCH [26/100], ITER [950/1666] 
LOSS: 0.00110184, TIME: 14532.1s
STEP [42620], EPOCH [26/100], ITER [970/1666] 
LOSS: 0.00085709, TIME: 14539.4s
STEP [42640], EPOCH [26/100], ITER [990/1666] 
LOSS: 0.00074874, TIME: 14546.7s
STEP [42660], EPOCH [26/100], ITER [1010/1666] 
LOSS: 0.00090803, TIME: 14554.0s
STEP [42680], EPOCH [26/100], ITER [1030/1666] 
LOSS: 0.00108865, TIME: 14561.3s
STEP [42700], EPOCH [26/100], ITER [1050/1666] 
LOSS: 0.00073335, TIME: 14568.6s
STEP [42720], EPOCH [26/100], ITER [1070/1666] 
LOSS: 0.00112822, TIME: 14575.9s
STEP [42740], EPOCH [26/100], ITER [1090/1666] 
LOSS: 0.00101589, TIME: 14583.3s
STEP [42760], EPOCH [26/100], ITER [1110/1666] 
LOSS: 0.00056904, TIME: 14590.6s
STEP [42780], EPOCH [26/100], ITER [1130/1666] 
LOSS: 0.00087792, TIME: 14597.9s
STEP [42800], EPOCH [26/100], ITER [1150/1666] 
LOSS: 0.00046873, TIME: 14605.3s
STEP [42820], EPOCH [26/100], ITER [1170/1666] 
LOSS: 0.00083869, TIME: 14612.6s
STEP [42840], EPOCH [26/100], ITER [1190/1666] 
LOSS: 0.00123015, TIME: 14619.9s
STEP [42860], EPOCH [26/100], ITER [1210/1666] 
LOSS: 0.00069343, TIME: 14627.2s
STEP [42880], EPOCH [26/100], ITER [1230/1666] 
LOSS: 0.00089791, TIME: 14634.5s
STEP [42900], EPOCH [26/100], ITER [1250/1666] 
LOSS: 0.00093183, TIME: 14641.8s
STEP [42920], EPOCH [26/100], ITER [1270/1666] 
LOSS: 0.00093202, TIME: 14649.2s
STEP [42940], EPOCH [26/100], ITER [1290/1666] 
LOSS: 0.00089847, TIME: 14656.5s
STEP [42960], EPOCH [26/100], ITER [1310/1666] 
LOSS: 0.00161620, TIME: 14663.8s
STEP [42980], EPOCH [26/100], ITER [1330/1666] 
LOSS: 0.00096056, TIME: 14671.1s
STEP [43000], EPOCH [26/100], ITER [1350/1666] 
LOSS: 0.00105157, TIME: 14678.5s
STEP [43020], EPOCH [26/100], ITER [1370/1666] 
LOSS: 0.00115426, TIME: 14685.8s
STEP [43040], EPOCH [26/100], ITER [1390/1666] 
LOSS: 0.00095772, TIME: 14693.1s
STEP [43060], EPOCH [26/100], ITER [1410/1666] 
LOSS: 0.00065275, TIME: 14700.5s
STEP [43080], EPOCH [26/100], ITER [1430/1666] 
LOSS: 0.00100490, TIME: 14707.8s
STEP [43100], EPOCH [26/100], ITER [1450/1666] 
LOSS: 0.00088767, TIME: 14715.1s
STEP [43120], EPOCH [26/100], ITER [1470/1666] 
LOSS: 0.00075568, TIME: 14722.4s
STEP [43140], EPOCH [26/100], ITER [1490/1666] 
LOSS: 0.00146403, TIME: 14729.7s
STEP [43160], EPOCH [26/100], ITER [1510/1666] 
LOSS: 0.00086750, TIME: 14737.0s
STEP [43180], EPOCH [26/100], ITER [1530/1666] 
LOSS: 0.00112229, TIME: 14744.3s
STEP [43200], EPOCH [26/100], ITER [1550/1666] 
LOSS: 0.00099680, TIME: 14751.7s
STEP [43220], EPOCH [26/100], ITER [1570/1666] 
LOSS: 0.00173567, TIME: 14759.0s
STEP [43240], EPOCH [26/100], ITER [1590/1666] 
LOSS: 0.00069525, TIME: 14766.3s
STEP [43260], EPOCH [26/100], ITER [1610/1666] 
LOSS: 0.00068159, TIME: 14773.6s
STEP [43280], EPOCH [26/100], ITER [1630/1666] 
LOSS: 0.00061599, TIME: 14780.9s
STEP [43300], EPOCH [26/100], ITER [1650/1666] 
LOSS: 0.00083498, TIME: 14788.2s
STEP [43320], EPOCH [27/100], ITER [4/1666] 
LOSS: 0.00053457, TIME: 14804.0s
STEP [43340], EPOCH [27/100], ITER [24/1666] 
LOSS: 0.00122987, TIME: 14811.3s
STEP [43360], EPOCH [27/100], ITER [44/1666] 
LOSS: 0.00090714, TIME: 14818.7s
STEP [43380], EPOCH [27/100], ITER [64/1666] 
LOSS: 0.00101714, TIME: 14826.0s
STEP [43400], EPOCH [27/100], ITER [84/1666] 
LOSS: 0.00108352, TIME: 14833.3s
STEP [43420], EPOCH [27/100], ITER [104/1666] 
LOSS: 0.00086668, TIME: 14840.6s
STEP [43440], EPOCH [27/100], ITER [124/1666] 
LOSS: 0.00093119, TIME: 14848.0s
STEP [43460], EPOCH [27/100], ITER [144/1666] 
LOSS: 0.00109373, TIME: 14855.3s
STEP [43480], EPOCH [27/100], ITER [164/1666] 
LOSS: 0.00095384, TIME: 14862.6s
STEP [43500], EPOCH [27/100], ITER [184/1666] 
LOSS: 0.00079497, TIME: 14869.9s
STEP [43520], EPOCH [27/100], ITER [204/1666] 
LOSS: 0.00130964, TIME: 14877.2s
STEP [43540], EPOCH [27/100], ITER [224/1666] 
LOSS: 0.00084930, TIME: 14884.5s
STEP [43560], EPOCH [27/100], ITER [244/1666] 
LOSS: 0.00115385, TIME: 14891.8s
STEP [43580], EPOCH [27/100], ITER [264/1666] 
LOSS: 0.00124647, TIME: 14899.2s
STEP [43600], EPOCH [27/100], ITER [284/1666] 
LOSS: 0.00056315, TIME: 14906.5s
STEP [43620], EPOCH [27/100], ITER [304/1666] 
LOSS: 0.00073867, TIME: 14913.8s
STEP [43640], EPOCH [27/100], ITER [324/1666] 
LOSS: 0.00120185, TIME: 14921.1s
STEP [43660], EPOCH [27/100], ITER [344/1666] 
LOSS: 0.00229964, TIME: 14928.4s
STEP [43680], EPOCH [27/100], ITER [364/1666] 
LOSS: 0.00075057, TIME: 14935.8s
STEP [43700], EPOCH [27/100], ITER [384/1666] 
LOSS: 0.00105581, TIME: 14943.1s
STEP [43720], EPOCH [27/100], ITER [404/1666] 
LOSS: 0.00072324, TIME: 14950.4s
STEP [43740], EPOCH [27/100], ITER [424/1666] 
LOSS: 0.00097447, TIME: 14957.7s
STEP [43760], EPOCH [27/100], ITER [444/1666] 
LOSS: 0.00099111, TIME: 14965.1s
STEP [43780], EPOCH [27/100], ITER [464/1666] 
LOSS: 0.00061441, TIME: 14972.4s
STEP [43800], EPOCH [27/100], ITER [484/1666] 
LOSS: 0.00136703, TIME: 14979.7s
STEP [43820], EPOCH [27/100], ITER [504/1666] 
LOSS: 0.00055367, TIME: 14987.0s
STEP [43840], EPOCH [27/100], ITER [524/1666] 
LOSS: 0.00111106, TIME: 14994.3s
STEP [43860], EPOCH [27/100], ITER [544/1666] 
LOSS: 0.00069154, TIME: 15001.6s
STEP [43880], EPOCH [27/100], ITER [564/1666] 
LOSS: 0.00126181, TIME: 15009.0s
STEP [43900], EPOCH [27/100], ITER [584/1666] 
LOSS: 0.00126651, TIME: 15016.2s
STEP [43920], EPOCH [27/100], ITER [604/1666] 
LOSS: 0.00068677, TIME: 15023.6s
STEP [43940], EPOCH [27/100], ITER [624/1666] 
LOSS: 0.00076563, TIME: 15030.9s
STEP [43960], EPOCH [27/100], ITER [644/1666] 
LOSS: 0.00074969, TIME: 15038.2s
STEP [43980], EPOCH [27/100], ITER [664/1666] 
LOSS: 0.00096736, TIME: 15045.6s
STEP [44000], EPOCH [27/100], ITER [684/1666] 
LOSS: 0.00082127, TIME: 15052.9s
STEP [44020], EPOCH [27/100], ITER [704/1666] 
LOSS: 0.00126499, TIME: 15060.3s
STEP [44040], EPOCH [27/100], ITER [724/1666] 
LOSS: 0.00075111, TIME: 15067.6s
STEP [44060], EPOCH [27/100], ITER [744/1666] 
LOSS: 0.00072960, TIME: 15074.9s
STEP [44080], EPOCH [27/100], ITER [764/1666] 
LOSS: 0.00113904, TIME: 15082.2s
STEP [44100], EPOCH [27/100], ITER [784/1666] 
LOSS: 0.00081416, TIME: 15089.6s
STEP [44120], EPOCH [27/100], ITER [804/1666] 
LOSS: 0.00071546, TIME: 15096.8s
STEP [44140], EPOCH [27/100], ITER [824/1666] 
LOSS: 0.00104969, TIME: 15104.2s
STEP [44160], EPOCH [27/100], ITER [844/1666] 
LOSS: 0.00173399, TIME: 15111.5s
STEP [44180], EPOCH [27/100], ITER [864/1666] 
LOSS: 0.00073185, TIME: 15118.8s
STEP [44200], EPOCH [27/100], ITER [884/1666] 
LOSS: 0.00088373, TIME: 15126.1s
STEP [44220], EPOCH [27/100], ITER [904/1666] 
LOSS: 0.00171779, TIME: 15133.4s
STEP [44240], EPOCH [27/100], ITER [924/1666] 
LOSS: 0.00079980, TIME: 15140.7s
STEP [44260], EPOCH [27/100], ITER [944/1666] 
LOSS: 0.00107941, TIME: 15148.1s
STEP [44280], EPOCH [27/100], ITER [964/1666] 
LOSS: 0.00128524, TIME: 15155.4s
STEP [44300], EPOCH [27/100], ITER [984/1666] 
LOSS: 0.00083358, TIME: 15162.7s
STEP [44320], EPOCH [27/100], ITER [1004/1666] 
LOSS: 0.00179767, TIME: 15170.0s
STEP [44340], EPOCH [27/100], ITER [1024/1666] 
LOSS: 0.00101941, TIME: 15177.3s
STEP [44360], EPOCH [27/100], ITER [1044/1666] 
LOSS: 0.00065821, TIME: 15184.6s
STEP [44380], EPOCH [27/100], ITER [1064/1666] 
LOSS: 0.00066595, TIME: 15192.0s
STEP [44400], EPOCH [27/100], ITER [1084/1666] 
LOSS: 0.00187359, TIME: 15199.3s
STEP [44420], EPOCH [27/100], ITER [1104/1666] 
LOSS: 0.00059785, TIME: 15206.6s
STEP [44440], EPOCH [27/100], ITER [1124/1666] 
LOSS: 0.00083993, TIME: 15213.9s
STEP [44460], EPOCH [27/100], ITER [1144/1666] 
LOSS: 0.00138690, TIME: 15221.2s
STEP [44480], EPOCH [27/100], ITER [1164/1666] 
LOSS: 0.00088764, TIME: 15228.6s
STEP [44500], EPOCH [27/100], ITER [1184/1666] 
LOSS: 0.00112635, TIME: 15235.9s
STEP [44520], EPOCH [27/100], ITER [1204/1666] 
LOSS: 0.00087517, TIME: 15243.2s
STEP [44540], EPOCH [27/100], ITER [1224/1666] 
LOSS: 0.00154654, TIME: 15250.6s
STEP [44560], EPOCH [27/100], ITER [1244/1666] 
LOSS: 0.00070982, TIME: 15254.6s
STEP [44580], EPOCH [27/100], ITER [1264/1666] 
LOSS: 0.00076405, TIME: 15260.8s
STEP [44600], EPOCH [27/100], ITER [1284/1666] 
LOSS: 0.00090667, TIME: 15268.1s
STEP [44620], EPOCH [27/100], ITER [1304/1666] 
LOSS: 0.00134049, TIME: 15275.4s
STEP [44640], EPOCH [27/100], ITER [1324/1666] 
LOSS: 0.00068378, TIME: 15282.7s
STEP [44660], EPOCH [27/100], ITER [1344/1666] 
LOSS: 0.00126688, TIME: 15290.1s
STEP [44680], EPOCH [27/100], ITER [1364/1666] 
LOSS: 0.00098006, TIME: 15297.4s
STEP [44700], EPOCH [27/100], ITER [1384/1666] 
LOSS: 0.00104839, TIME: 15304.7s
STEP [44720], EPOCH [27/100], ITER [1404/1666] 
LOSS: 0.00107459, TIME: 15312.1s
STEP [44740], EPOCH [27/100], ITER [1424/1666] 
LOSS: 0.00093671, TIME: 15319.4s
STEP [44760], EPOCH [27/100], ITER [1444/1666] 
LOSS: 0.00073249, TIME: 15326.8s
STEP [44780], EPOCH [27/100], ITER [1464/1666] 
LOSS: 0.00064383, TIME: 15334.1s
STEP [44800], EPOCH [27/100], ITER [1484/1666] 
LOSS: 0.00080879, TIME: 15341.4s
STEP [44820], EPOCH [27/100], ITER [1504/1666] 
LOSS: 0.00087685, TIME: 15348.7s
STEP [44840], EPOCH [27/100], ITER [1524/1666] 
LOSS: 0.00106927, TIME: 15356.1s
STEP [44860], EPOCH [27/100], ITER [1544/1666] 
LOSS: 0.00142760, TIME: 15363.4s
STEP [44880], EPOCH [27/100], ITER [1564/1666] 
LOSS: 0.00108395, TIME: 15370.7s
STEP [44900], EPOCH [27/100], ITER [1584/1666] 
LOSS: 0.00065938, TIME: 15378.0s
STEP [44920], EPOCH [27/100], ITER [1604/1666] 
LOSS: 0.00072187, TIME: 15385.3s
STEP [44940], EPOCH [27/100], ITER [1624/1666] 
LOSS: 0.00078507, TIME: 15392.7s
STEP [44960], EPOCH [27/100], ITER [1644/1666] 
LOSS: 0.00095006, TIME: 15400.0s
STEP [44980], EPOCH [27/100], ITER [1664/1666] 
LOSS: 0.00070780, TIME: 15407.3s
STEP [45000], EPOCH [28/100], ITER [18/1666] 
LOSS: 0.00092028, TIME: 15423.1s
STEP [45020], EPOCH [28/100], ITER [38/1666] 
LOSS: 0.00122983, TIME: 15430.5s
STEP [45040], EPOCH [28/100], ITER [58/1666] 
LOSS: 0.00116363, TIME: 15437.8s
STEP [45060], EPOCH [28/100], ITER [78/1666] 
LOSS: 0.00094069, TIME: 15445.1s
STEP [45080], EPOCH [28/100], ITER [98/1666] 
LOSS: 0.00101028, TIME: 15452.5s
STEP [45100], EPOCH [28/100], ITER [118/1666] 
LOSS: 0.00062998, TIME: 15459.8s
STEP [45120], EPOCH [28/100], ITER [138/1666] 
LOSS: 0.00052507, TIME: 15467.1s
STEP [45140], EPOCH [28/100], ITER [158/1666] 
LOSS: 0.00093249, TIME: 15474.4s
STEP [45160], EPOCH [28/100], ITER [178/1666] 
LOSS: 0.00068244, TIME: 15481.7s
STEP [45180], EPOCH [28/100], ITER [198/1666] 
LOSS: 0.00093342, TIME: 15489.0s
STEP [45200], EPOCH [28/100], ITER [218/1666] 
LOSS: 0.00088853, TIME: 15496.3s
STEP [45220], EPOCH [28/100], ITER [238/1666] 
LOSS: 0.00074540, TIME: 15503.6s
STEP [45240], EPOCH [28/100], ITER [258/1666] 
LOSS: 0.00073834, TIME: 15511.0s
STEP [45260], EPOCH [28/100], ITER [278/1666] 
LOSS: 0.00088367, TIME: 15518.3s
STEP [45280], EPOCH [28/100], ITER [298/1666] 
LOSS: 0.00069239, TIME: 15525.6s
STEP [45300], EPOCH [28/100], ITER [318/1666] 
LOSS: 0.00065281, TIME: 15532.9s
STEP [45320], EPOCH [28/100], ITER [338/1666] 
LOSS: 0.00057049, TIME: 15540.2s
STEP [45340], EPOCH [28/100], ITER [358/1666] 
LOSS: 0.00089016, TIME: 15547.6s
STEP [45360], EPOCH [28/100], ITER [378/1666] 
LOSS: 0.00136937, TIME: 15554.9s
STEP [45380], EPOCH [28/100], ITER [398/1666] 
LOSS: 0.00073455, TIME: 15562.2s
STEP [45400], EPOCH [28/100], ITER [418/1666] 
LOSS: 0.00082761, TIME: 15569.5s
STEP [45420], EPOCH [28/100], ITER [438/1666] 
LOSS: 0.00097089, TIME: 15576.8s
STEP [45440], EPOCH [28/100], ITER [458/1666] 
LOSS: 0.00079953, TIME: 15584.2s
STEP [45460], EPOCH [28/100], ITER [478/1666] 
LOSS: 0.00059861, TIME: 15591.5s
STEP [45480], EPOCH [28/100], ITER [498/1666] 
LOSS: 0.00076863, TIME: 15598.8s
STEP [45500], EPOCH [28/100], ITER [518/1666] 
LOSS: 0.00074782, TIME: 15606.2s
STEP [45520], EPOCH [28/100], ITER [538/1666] 
LOSS: 0.00067392, TIME: 15613.5s
STEP [45540], EPOCH [28/100], ITER [558/1666] 
LOSS: 0.00129230, TIME: 15620.8s
STEP [45560], EPOCH [28/100], ITER [578/1666] 
LOSS: 0.00139813, TIME: 15628.1s
STEP [45580], EPOCH [28/100], ITER [598/1666] 
LOSS: 0.00108929, TIME: 15635.5s
STEP [45600], EPOCH [28/100], ITER [618/1666] 
LOSS: 0.00081964, TIME: 15642.7s
STEP [45620], EPOCH [28/100], ITER [638/1666] 
LOSS: 0.00080084, TIME: 15650.1s
STEP [45640], EPOCH [28/100], ITER [658/1666] 
LOSS: 0.00088020, TIME: 15657.4s
STEP [45660], EPOCH [28/100], ITER [678/1666] 
LOSS: 0.00078826, TIME: 15664.7s
STEP [45680], EPOCH [28/100], ITER [698/1666] 
LOSS: 0.00106022, TIME: 15672.0s
STEP [45700], EPOCH [28/100], ITER [718/1666] 
LOSS: 0.00121248, TIME: 15679.3s
STEP [45720], EPOCH [28/100], ITER [738/1666] 
LOSS: 0.00071280, TIME: 15686.7s
STEP [45740], EPOCH [28/100], ITER [758/1666] 
LOSS: 0.00072390, TIME: 15694.0s
STEP [45760], EPOCH [28/100], ITER [778/1666] 
LOSS: 0.00064981, TIME: 15701.3s
STEP [45780], EPOCH [28/100], ITER [798/1666] 
LOSS: 0.00087594, TIME: 15708.6s
STEP [45800], EPOCH [28/100], ITER [818/1666] 
LOSS: 0.00063889, TIME: 15715.9s
STEP [45820], EPOCH [28/100], ITER [838/1666] 
LOSS: 0.00079156, TIME: 15723.2s
STEP [45840], EPOCH [28/100], ITER [858/1666] 
LOSS: 0.00168824, TIME: 15730.5s
STEP [45860], EPOCH [28/100], ITER [878/1666] 
LOSS: 0.00093805, TIME: 15737.9s
STEP [45880], EPOCH [28/100], ITER [898/1666] 
LOSS: 0.00093397, TIME: 15745.2s
STEP [45900], EPOCH [28/100], ITER [918/1666] 
LOSS: 0.00057829, TIME: 15752.5s
STEP [45920], EPOCH [28/100], ITER [938/1666] 
LOSS: 0.00120360, TIME: 15759.8s
STEP [45940], EPOCH [28/100], ITER [958/1666] 
LOSS: 0.00066798, TIME: 15767.2s
STEP [45960], EPOCH [28/100], ITER [978/1666] 
LOSS: 0.00040426, TIME: 15774.5s
STEP [45980], EPOCH [28/100], ITER [998/1666] 
LOSS: 0.00098209, TIME: 15781.8s
STEP [46000], EPOCH [28/100], ITER [1018/1666] 
LOSS: 0.00085262, TIME: 15789.1s
STEP [46020], EPOCH [28/100], ITER [1038/1666] 
LOSS: 0.00067619, TIME: 15796.5s
STEP [46040], EPOCH [28/100], ITER [1058/1666] 
LOSS: 0.00060472, TIME: 15803.8s
STEP [46060], EPOCH [28/100], ITER [1078/1666] 
LOSS: 0.00060445, TIME: 15811.1s
STEP [46080], EPOCH [28/100], ITER [1098/1666] 
LOSS: 0.00086158, TIME: 15818.4s
STEP [46100], EPOCH [28/100], ITER [1118/1666] 
LOSS: 0.00089045, TIME: 15825.7s
STEP [46120], EPOCH [28/100], ITER [1138/1666] 
LOSS: 0.00066274, TIME: 15833.1s
STEP [46140], EPOCH [28/100], ITER [1158/1666] 
LOSS: 0.00121484, TIME: 15840.4s
STEP [46160], EPOCH [28/100], ITER [1178/1666] 
LOSS: 0.00095421, TIME: 15847.7s
STEP [46180], EPOCH [28/100], ITER [1198/1666] 
LOSS: 0.00079978, TIME: 15855.0s
STEP [46200], EPOCH [28/100], ITER [1218/1666] 
LOSS: 0.00087511, TIME: 15862.3s
STEP [46220], EPOCH [28/100], ITER [1238/1666] 
LOSS: 0.00100206, TIME: 15869.6s
STEP [46240], EPOCH [28/100], ITER [1258/1666] 
LOSS: 0.00150117, TIME: 15876.9s
STEP [46260], EPOCH [28/100], ITER [1278/1666] 
LOSS: 0.00068463, TIME: 15884.2s
STEP [46280], EPOCH [28/100], ITER [1298/1666] 
LOSS: 0.00075728, TIME: 15891.5s
STEP [46300], EPOCH [28/100], ITER [1318/1666] 
LOSS: 0.00099572, TIME: 15898.8s
STEP [46320], EPOCH [28/100], ITER [1338/1666] 
LOSS: 0.00044268, TIME: 15906.2s
STEP [46340], EPOCH [28/100], ITER [1358/1666] 
LOSS: 0.00148580, TIME: 15913.5s
STEP [46360], EPOCH [28/100], ITER [1378/1666] 
LOSS: 0.00090820, TIME: 15920.8s
STEP [46380], EPOCH [28/100], ITER [1398/1666] 
LOSS: 0.00086826, TIME: 15928.1s
STEP [46400], EPOCH [28/100], ITER [1418/1666] 
LOSS: 0.00070607, TIME: 15935.4s
STEP [46420], EPOCH [28/100], ITER [1438/1666] 
LOSS: 0.00052681, TIME: 15942.8s
STEP [46440], EPOCH [28/100], ITER [1458/1666] 
LOSS: 0.00105834, TIME: 15950.1s
STEP [46460], EPOCH [28/100], ITER [1478/1666] 
LOSS: 0.00066960, TIME: 15957.4s
STEP [46480], EPOCH [28/100], ITER [1498/1666] 
LOSS: 0.00099277, TIME: 15964.7s
STEP [46500], EPOCH [28/100], ITER [1518/1666] 
LOSS: 0.00053591, TIME: 15972.0s
STEP [46520], EPOCH [28/100], ITER [1538/1666] 
LOSS: 0.00089730, TIME: 15979.3s
STEP [46540], EPOCH [28/100], ITER [1558/1666] 
LOSS: 0.00062678, TIME: 15986.7s
STEP [46560], EPOCH [28/100], ITER [1578/1666] 
LOSS: 0.00092054, TIME: 15994.0s
STEP [46580], EPOCH [28/100], ITER [1598/1666] 
LOSS: 0.00064785, TIME: 16001.3s
STEP [46600], EPOCH [28/100], ITER [1618/1666] 
LOSS: 0.00105104, TIME: 16008.6s
STEP [46620], EPOCH [28/100], ITER [1638/1666] 
LOSS: 0.00111872, TIME: 16015.9s
STEP [46640], EPOCH [28/100], ITER [1658/1666] 
LOSS: 0.00050431, TIME: 16023.2s
STEP [46660], EPOCH [29/100], ITER [12/1666] 
LOSS: 0.00077401, TIME: 16039.0s
STEP [46680], EPOCH [29/100], ITER [32/1666] 
LOSS: 0.00085137, TIME: 16046.3s
STEP [46700], EPOCH [29/100], ITER [52/1666] 
LOSS: 0.00100194, TIME: 16053.6s
STEP [46720], EPOCH [29/100], ITER [72/1666] 
LOSS: 0.00076902, TIME: 16060.9s
STEP [46740], EPOCH [29/100], ITER [92/1666] 
LOSS: 0.00087907, TIME: 16068.2s
STEP [46760], EPOCH [29/100], ITER [112/1666] 
LOSS: 0.00076633, TIME: 16075.6s
STEP [46780], EPOCH [29/100], ITER [132/1666] 
LOSS: 0.00062786, TIME: 16082.9s
STEP [46800], EPOCH [29/100], ITER [152/1666] 
LOSS: 0.00066894, TIME: 16090.2s
STEP [46820], EPOCH [29/100], ITER [172/1666] 
LOSS: 0.00088708, TIME: 16097.5s
STEP [46840], EPOCH [29/100], ITER [192/1666] 
LOSS: 0.00088600, TIME: 16104.8s
STEP [46860], EPOCH [29/100], ITER [212/1666] 
LOSS: 0.00087982, TIME: 16112.1s
STEP [46880], EPOCH [29/100], ITER [232/1666] 
LOSS: 0.00090467, TIME: 16119.4s
STEP [46900], EPOCH [29/100], ITER [252/1666] 
LOSS: 0.00097595, TIME: 16126.7s
STEP [46920], EPOCH [29/100], ITER [272/1666] 
LOSS: 0.00051016, TIME: 16134.0s
STEP [46940], EPOCH [29/100], ITER [292/1666] 
LOSS: 0.00076634, TIME: 16141.4s
STEP [46960], EPOCH [29/100], ITER [312/1666] 
LOSS: 0.00091518, TIME: 16148.7s
STEP [46980], EPOCH [29/100], ITER [332/1666] 
LOSS: 0.00087977, TIME: 16156.0s
STEP [47000], EPOCH [29/100], ITER [352/1666] 
LOSS: 0.00057815, TIME: 16163.3s
STEP [47020], EPOCH [29/100], ITER [372/1666] 
LOSS: 0.00076586, TIME: 16170.7s
STEP [47040], EPOCH [29/100], ITER [392/1666] 
LOSS: 0.00112482, TIME: 16178.0s
STEP [47060], EPOCH [29/100], ITER [412/1666] 
LOSS: 0.00137495, TIME: 16185.3s
STEP [47080], EPOCH [29/100], ITER [432/1666] 
LOSS: 0.00084905, TIME: 16192.6s
STEP [47100], EPOCH [29/100], ITER [452/1666] 
LOSS: 0.00093570, TIME: 16199.9s
STEP [47120], EPOCH [29/100], ITER [472/1666] 
LOSS: 0.00060638, TIME: 16207.2s
STEP [47140], EPOCH [29/100], ITER [492/1666] 
LOSS: 0.00083019, TIME: 16214.6s
STEP [47160], EPOCH [29/100], ITER [512/1666] 
LOSS: 0.00110303, TIME: 16221.9s
STEP [47180], EPOCH [29/100], ITER [532/1666] 
LOSS: 0.00086450, TIME: 16229.2s
STEP [47200], EPOCH [29/100], ITER [552/1666] 
LOSS: 0.00059246, TIME: 16236.6s
STEP [47220], EPOCH [29/100], ITER [572/1666] 
LOSS: 0.00103674, TIME: 16243.9s
STEP [47240], EPOCH [29/100], ITER [592/1666] 
LOSS: 0.00078145, TIME: 16251.2s
STEP [47260], EPOCH [29/100], ITER [612/1666] 
LOSS: 0.00092212, TIME: 16258.5s
STEP [47280], EPOCH [29/100], ITER [632/1666] 
LOSS: 0.00070171, TIME: 16265.8s
STEP [47300], EPOCH [29/100], ITER [652/1666] 
LOSS: 0.00078244, TIME: 16273.2s
STEP [47320], EPOCH [29/100], ITER [672/1666] 
LOSS: 0.00086675, TIME: 16280.5s
STEP [47340], EPOCH [29/100], ITER [692/1666] 
LOSS: 0.00087602, TIME: 16287.8s
STEP [47360], EPOCH [29/100], ITER [712/1666] 
LOSS: 0.00066352, TIME: 16295.1s
STEP [47380], EPOCH [29/100], ITER [732/1666] 
LOSS: 0.00217219, TIME: 16302.5s
STEP [47400], EPOCH [29/100], ITER [752/1666] 
LOSS: 0.00083920, TIME: 16309.8s
STEP [47420], EPOCH [29/100], ITER [772/1666] 
LOSS: 0.00127945, TIME: 16317.1s
STEP [47440], EPOCH [29/100], ITER [792/1666] 
LOSS: 0.00098905, TIME: 16324.4s
STEP [47460], EPOCH [29/100], ITER [812/1666] 
LOSS: 0.00087427, TIME: 16331.8s
STEP [47480], EPOCH [29/100], ITER [832/1666] 
LOSS: 0.00068436, TIME: 16339.1s
STEP [47500], EPOCH [29/100], ITER [852/1666] 
LOSS: 0.00060538, TIME: 16346.4s
STEP [47520], EPOCH [29/100], ITER [872/1666] 
LOSS: 0.00068746, TIME: 16353.7s
STEP [47540], EPOCH [29/100], ITER [892/1666] 
LOSS: 0.00063959, TIME: 16361.0s
STEP [47560], EPOCH [29/100], ITER [912/1666] 
LOSS: 0.00134379, TIME: 16368.3s
STEP [47580], EPOCH [29/100], ITER [932/1666] 
LOSS: 0.00063099, TIME: 16375.6s
STEP [47600], EPOCH [29/100], ITER [952/1666] 
LOSS: 0.00082818, TIME: 16383.0s
STEP [47620], EPOCH [29/100], ITER [972/1666] 
LOSS: 0.00079283, TIME: 16390.3s
STEP [47640], EPOCH [29/100], ITER [992/1666] 
LOSS: 0.00059504, TIME: 16397.6s
STEP [47660], EPOCH [29/100], ITER [1012/1666] 
LOSS: 0.00091081, TIME: 16405.0s
STEP [47680], EPOCH [29/100], ITER [1032/1666] 
LOSS: 0.00065117, TIME: 16412.3s
STEP [47700], EPOCH [29/100], ITER [1052/1666] 
LOSS: 0.00064181, TIME: 16419.6s
STEP [47720], EPOCH [29/100], ITER [1072/1666] 
LOSS: 0.00062288, TIME: 16426.9s
STEP [47740], EPOCH [29/100], ITER [1092/1666] 
LOSS: 0.00052922, TIME: 16434.2s
STEP [47760], EPOCH [29/100], ITER [1112/1666] 
LOSS: 0.00077587, TIME: 16441.6s
STEP [47780], EPOCH [29/100], ITER [1132/1666] 
LOSS: 0.00107834, TIME: 16448.9s
STEP [47800], EPOCH [29/100], ITER [1152/1666] 
LOSS: 0.00126022, TIME: 16456.2s
STEP [47820], EPOCH [29/100], ITER [1172/1666] 
LOSS: 0.00075967, TIME: 16463.5s
STEP [47840], EPOCH [29/100], ITER [1192/1666] 
LOSS: 0.00062821, TIME: 16470.8s
STEP [47860], EPOCH [29/100], ITER [1212/1666] 
LOSS: 0.00105442, TIME: 16478.1s
STEP [47880], EPOCH [29/100], ITER [1232/1666] 
LOSS: 0.00095034, TIME: 16485.5s
STEP [47900], EPOCH [29/100], ITER [1252/1666] 
LOSS: 0.00076052, TIME: 16492.8s
STEP [47920], EPOCH [29/100], ITER [1272/1666] 
LOSS: 0.00056025, TIME: 16500.1s
STEP [47940], EPOCH [29/100], ITER [1292/1666] 
LOSS: 0.00087439, TIME: 16507.4s
STEP [47960], EPOCH [29/100], ITER [1312/1666] 
LOSS: 0.00091081, TIME: 16514.7s
STEP [47980], EPOCH [29/100], ITER [1332/1666] 
LOSS: 0.00078850, TIME: 16522.1s
STEP [48000], EPOCH [29/100], ITER [1352/1666] 
LOSS: 0.00081387, TIME: 16529.4s
STEP [48020], EPOCH [29/100], ITER [1372/1666] 
LOSS: 0.00071851, TIME: 16536.7s
STEP [48040], EPOCH [29/100], ITER [1392/1666] 
LOSS: 0.00071176, TIME: 16544.1s
STEP [48060], EPOCH [29/100], ITER [1412/1666] 
LOSS: 0.00098174, TIME: 16551.4s
STEP [48080], EPOCH [29/100], ITER [1432/1666] 
LOSS: 0.00120970, TIME: 16558.7s
STEP [48100], EPOCH [29/100], ITER [1452/1666] 
LOSS: 0.00063928, TIME: 16566.1s
STEP [48120], EPOCH [29/100], ITER [1472/1666] 
LOSS: 0.00083810, TIME: 16573.4s
STEP [48140], EPOCH [29/100], ITER [1492/1666] 
LOSS: 0.00095843, TIME: 16580.7s
STEP [48160], EPOCH [29/100], ITER [1512/1666] 
LOSS: 0.00069343, TIME: 16588.0s
STEP [48180], EPOCH [29/100], ITER [1532/1666] 
LOSS: 0.00095615, TIME: 16595.3s
STEP [48200], EPOCH [29/100], ITER [1552/1666] 
LOSS: 0.00067234, TIME: 16602.6s
STEP [48220], EPOCH [29/100], ITER [1572/1666] 
LOSS: 0.00068017, TIME: 16610.0s
STEP [48240], EPOCH [29/100], ITER [1592/1666] 
LOSS: 0.00048536, TIME: 16617.3s
STEP [48260], EPOCH [29/100], ITER [1612/1666] 
LOSS: 0.00093747, TIME: 16624.6s
STEP [48280], EPOCH [29/100], ITER [1632/1666] 
LOSS: 0.00076927, TIME: 16631.9s
STEP [48300], EPOCH [29/100], ITER [1652/1666] 
LOSS: 0.00083476, TIME: 16639.2s
STEP [48320], EPOCH [30/100], ITER [6/1666] 
LOSS: 0.00055866, TIME: 16655.2s
STEP [48340], EPOCH [30/100], ITER [26/1666] 
LOSS: 0.00081303, TIME: 16662.5s
STEP [48360], EPOCH [30/100], ITER [46/1666] 
LOSS: 0.00072462, TIME: 16669.8s
STEP [48380], EPOCH [30/100], ITER [66/1666] 
LOSS: 0.00105359, TIME: 16677.1s
STEP [48400], EPOCH [30/100], ITER [86/1666] 
LOSS: 0.00092113, TIME: 16684.4s
STEP [48420], EPOCH [30/100], ITER [106/1666] 
LOSS: 0.00076419, TIME: 16691.8s
STEP [48440], EPOCH [30/100], ITER [126/1666] 
LOSS: 0.00102331, TIME: 16699.1s
STEP [48460], EPOCH [30/100], ITER [146/1666] 
LOSS: 0.00105403, TIME: 16706.4s
STEP [48480], EPOCH [30/100], ITER [166/1666] 
LOSS: 0.00098624, TIME: 16713.7s
STEP [48500], EPOCH [30/100], ITER [186/1666] 
LOSS: 0.00108813, TIME: 16721.1s
STEP [48520], EPOCH [30/100], ITER [206/1666] 
LOSS: 0.00129486, TIME: 16728.3s
STEP [48540], EPOCH [30/100], ITER [226/1666] 
LOSS: 0.00067638, TIME: 16735.6s
STEP [48560], EPOCH [30/100], ITER [246/1666] 
LOSS: 0.00161438, TIME: 16743.0s
STEP [48580], EPOCH [30/100], ITER [266/1666] 
LOSS: 0.00095243, TIME: 16750.3s
STEP [48600], EPOCH [30/100], ITER [286/1666] 
LOSS: 0.00095508, TIME: 16757.6s
STEP [48620], EPOCH [30/100], ITER [306/1666] 
LOSS: 0.00085224, TIME: 16765.0s
STEP [48640], EPOCH [30/100], ITER [326/1666] 
LOSS: 0.00135573, TIME: 16772.3s
STEP [48660], EPOCH [30/100], ITER [346/1666] 
LOSS: 0.00055670, TIME: 16779.6s
STEP [48680], EPOCH [30/100], ITER [366/1666] 
LOSS: 0.00070174, TIME: 16787.0s
STEP [48700], EPOCH [30/100], ITER [386/1666] 
LOSS: 0.00101689, TIME: 16794.3s
STEP [48720], EPOCH [30/100], ITER [406/1666] 
LOSS: 0.00072066, TIME: 16801.2s
STEP [48740], EPOCH [30/100], ITER [426/1666] 
LOSS: 0.00057644, TIME: 16805.1s
STEP [48760], EPOCH [30/100], ITER [446/1666] 
LOSS: 0.00068046, TIME: 16811.8s
STEP [48780], EPOCH [30/100], ITER [466/1666] 
LOSS: 0.00124892, TIME: 16819.1s
STEP [48800], EPOCH [30/100], ITER [486/1666] 
LOSS: 0.00074347, TIME: 16826.5s
STEP [48820], EPOCH [30/100], ITER [506/1666] 
LOSS: 0.00138219, TIME: 16833.8s
STEP [48840], EPOCH [30/100], ITER [526/1666] 
LOSS: 0.00073767, TIME: 16841.1s
STEP [48860], EPOCH [30/100], ITER [546/1666] 
LOSS: 0.00091629, TIME: 16848.5s
STEP [48880], EPOCH [30/100], ITER [566/1666] 
LOSS: 0.00063622, TIME: 16855.8s
STEP [48900], EPOCH [30/100], ITER [586/1666] 
LOSS: 0.00128220, TIME: 16863.1s
STEP [48920], EPOCH [30/100], ITER [606/1666] 
LOSS: 0.00065949, TIME: 16870.4s
STEP [48940], EPOCH [30/100], ITER [626/1666] 
LOSS: 0.00146529, TIME: 16877.8s
STEP [48960], EPOCH [30/100], ITER [646/1666] 
LOSS: 0.00084211, TIME: 16885.1s
STEP [48980], EPOCH [30/100], ITER [666/1666] 
LOSS: 0.00072556, TIME: 16892.4s
STEP [49000], EPOCH [30/100], ITER [686/1666] 
LOSS: 0.00085578, TIME: 16899.7s
STEP [49020], EPOCH [30/100], ITER [706/1666] 
LOSS: 0.00089718, TIME: 16907.1s
STEP [49040], EPOCH [30/100], ITER [726/1666] 
LOSS: 0.00074518, TIME: 16914.4s
STEP [49060], EPOCH [30/100], ITER [746/1666] 
LOSS: 0.00093656, TIME: 16921.7s
STEP [49080], EPOCH [30/100], ITER [766/1666] 
LOSS: 0.00107847, TIME: 16929.0s
STEP [49100], EPOCH [30/100], ITER [786/1666] 
LOSS: 0.00072713, TIME: 16936.4s
STEP [49120], EPOCH [30/100], ITER [806/1666] 
LOSS: 0.00068602, TIME: 16943.7s
STEP [49140], EPOCH [30/100], ITER [826/1666] 
LOSS: 0.00088525, TIME: 16951.0s
STEP [49160], EPOCH [30/100], ITER [846/1666] 
LOSS: 0.00076381, TIME: 16958.3s
STEP [49180], EPOCH [30/100], ITER [866/1666] 
LOSS: 0.00066697, TIME: 16965.6s
STEP [49200], EPOCH [30/100], ITER [886/1666] 
LOSS: 0.00118878, TIME: 16972.9s
STEP [49220], EPOCH [30/100], ITER [906/1666] 
LOSS: 0.00101778, TIME: 16980.3s
STEP [49240], EPOCH [30/100], ITER [926/1666] 
LOSS: 0.00078578, TIME: 16987.6s
STEP [49260], EPOCH [30/100], ITER [946/1666] 
LOSS: 0.00083668, TIME: 16994.9s
STEP [49280], EPOCH [30/100], ITER [966/1666] 
LOSS: 0.00054680, TIME: 17002.2s
STEP [49300], EPOCH [30/100], ITER [986/1666] 
LOSS: 0.00049623, TIME: 17009.6s
STEP [49320], EPOCH [30/100], ITER [1006/1666] 
LOSS: 0.00075834, TIME: 17016.9s
STEP [49340], EPOCH [30/100], ITER [1026/1666] 
LOSS: 0.00060905, TIME: 17024.2s
STEP [49360], EPOCH [30/100], ITER [1046/1666] 
LOSS: 0.00089644, TIME: 17031.5s
STEP [49380], EPOCH [30/100], ITER [1066/1666] 
LOSS: 0.00084503, TIME: 17038.8s
STEP [49400], EPOCH [30/100], ITER [1086/1666] 
LOSS: 0.00117274, TIME: 17046.1s
STEP [49420], EPOCH [30/100], ITER [1106/1666] 
LOSS: 0.00054663, TIME: 17053.4s
STEP [49440], EPOCH [30/100], ITER [1126/1666] 
LOSS: 0.00177762, TIME: 17060.8s
STEP [49460], EPOCH [30/100], ITER [1146/1666] 
LOSS: 0.00103240, TIME: 17068.1s
STEP [49480], EPOCH [30/100], ITER [1166/1666] 
LOSS: 0.00068602, TIME: 17075.4s
STEP [49500], EPOCH [30/100], ITER [1186/1666] 
LOSS: 0.00057636, TIME: 17082.8s
STEP [49520], EPOCH [30/100], ITER [1206/1666] 
LOSS: 0.00107972, TIME: 17090.1s
STEP [49540], EPOCH [30/100], ITER [1226/1666] 
LOSS: 0.00106165, TIME: 17097.4s
STEP [49560], EPOCH [30/100], ITER [1246/1666] 
LOSS: 0.00142656, TIME: 17104.7s
STEP [49580], EPOCH [30/100], ITER [1266/1666] 
LOSS: 0.00069464, TIME: 17112.1s
STEP [49600], EPOCH [30/100], ITER [1286/1666] 
LOSS: 0.00099906, TIME: 17119.4s
STEP [49620], EPOCH [30/100], ITER [1306/1666] 
LOSS: 0.00120630, TIME: 17126.7s
STEP [49640], EPOCH [30/100], ITER [1326/1666] 
LOSS: 0.00063418, TIME: 17134.0s
STEP [49660], EPOCH [30/100], ITER [1346/1666] 
LOSS: 0.00084734, TIME: 17141.3s
STEP [49680], EPOCH [30/100], ITER [1366/1666] 
LOSS: 0.00069142, TIME: 17148.6s
STEP [49700], EPOCH [30/100], ITER [1386/1666] 
LOSS: 0.00091337, TIME: 17155.9s
STEP [49720], EPOCH [30/100], ITER [1406/1666] 
LOSS: 0.00068045, TIME: 17163.3s
STEP [49740], EPOCH [30/100], ITER [1426/1666] 
LOSS: 0.00110258, TIME: 17170.6s
STEP [49760], EPOCH [30/100], ITER [1446/1666] 
LOSS: 0.00067594, TIME: 17178.0s
STEP [49780], EPOCH [30/100], ITER [1466/1666] 
LOSS: 0.00091467, TIME: 17185.3s
STEP [49800], EPOCH [30/100], ITER [1486/1666] 
LOSS: 0.00073371, TIME: 17192.6s
STEP [49820], EPOCH [30/100], ITER [1506/1666] 
LOSS: 0.00081885, TIME: 17199.9s
STEP [49840], EPOCH [30/100], ITER [1526/1666] 
LOSS: 0.00100740, TIME: 17207.2s
STEP [49860], EPOCH [30/100], ITER [1546/1666] 
LOSS: 0.00086815, TIME: 17214.5s
STEP [49880], EPOCH [30/100], ITER [1566/1666] 
LOSS: 0.00085396, TIME: 17221.9s
STEP [49900], EPOCH [30/100], ITER [1586/1666] 
LOSS: 0.00063546, TIME: 17229.2s
STEP [49920], EPOCH [30/100], ITER [1606/1666] 
LOSS: 0.00068842, TIME: 17236.5s
STEP [49940], EPOCH [30/100], ITER [1626/1666] 
LOSS: 0.00098819, TIME: 17243.9s
STEP [49960], EPOCH [30/100], ITER [1646/1666] 
LOSS: 0.00070183, TIME: 17251.2s
STEP [49980], EPOCH [30/100], ITER [1666/1666] 
LOSS: 0.00056356, TIME: 17258.3s
STEP [50000], EPOCH [31/100], ITER [20/1666] 
LOSS: 0.00124997, TIME: 17274.6s
STEP [50020], EPOCH [31/100], ITER [40/1666] 
LOSS: 0.00083549, TIME: 17281.9s
STEP [50040], EPOCH [31/100], ITER [60/1666] 
LOSS: 0.00141023, TIME: 17289.2s
STEP [50060], EPOCH [31/100], ITER [80/1666] 
LOSS: 0.00110233, TIME: 17296.5s
STEP [50080], EPOCH [31/100], ITER [100/1666] 
LOSS: 0.00068770, TIME: 17303.8s
STEP [50100], EPOCH [31/100], ITER [120/1666] 
LOSS: 0.00073059, TIME: 17311.2s
STEP [50120], EPOCH [31/100], ITER [140/1666] 
LOSS: 0.00110642, TIME: 17318.5s
STEP [50140], EPOCH [31/100], ITER [160/1666] 
LOSS: 0.00086610, TIME: 17325.8s
STEP [50160], EPOCH [31/100], ITER [180/1666] 
LOSS: 0.00093521, TIME: 17333.1s
STEP [50180], EPOCH [31/100], ITER [200/1666] 
LOSS: 0.00055498, TIME: 17340.5s
STEP [50200], EPOCH [31/100], ITER [220/1666] 
LOSS: 0.00080059, TIME: 17347.7s
STEP [50220], EPOCH [31/100], ITER [240/1666] 
LOSS: 0.00100772, TIME: 17355.0s
STEP [50240], EPOCH [31/100], ITER [260/1666] 
LOSS: 0.00069340, TIME: 17362.4s
STEP [50260], EPOCH [31/100], ITER [280/1666] 
LOSS: 0.00053381, TIME: 17369.7s
STEP [50280], EPOCH [31/100], ITER [300/1666] 
LOSS: 0.00070763, TIME: 17377.0s
STEP [50300], EPOCH [31/100], ITER [320/1666] 
LOSS: 0.00126258, TIME: 17384.4s
STEP [50320], EPOCH [31/100], ITER [340/1666] 
LOSS: 0.00069952, TIME: 17391.7s
STEP [50340], EPOCH [31/100], ITER [360/1666] 
LOSS: 0.00088191, TIME: 17399.0s
STEP [50360], EPOCH [31/100], ITER [380/1666] 
LOSS: 0.00080233, TIME: 17406.3s
STEP [50380], EPOCH [31/100], ITER [400/1666] 
LOSS: 0.00054872, TIME: 17413.6s
STEP [50400], EPOCH [31/100], ITER [420/1666] 
LOSS: 0.00075391, TIME: 17421.0s
STEP [50420], EPOCH [31/100], ITER [440/1666] 
LOSS: 0.00084545, TIME: 17428.2s
STEP [50440], EPOCH [31/100], ITER [460/1666] 
LOSS: 0.00055700, TIME: 17435.6s
STEP [50460], EPOCH [31/100], ITER [480/1666] 
LOSS: 0.00040423, TIME: 17442.9s
STEP [50480], EPOCH [31/100], ITER [500/1666] 
LOSS: 0.00070666, TIME: 17450.2s
STEP [50500], EPOCH [31/100], ITER [520/1666] 
LOSS: 0.00092544, TIME: 17457.6s
STEP [50520], EPOCH [31/100], ITER [540/1666] 
LOSS: 0.00080030, TIME: 17464.9s
STEP [50540], EPOCH [31/100], ITER [560/1666] 
LOSS: 0.00049075, TIME: 17472.2s
STEP [50560], EPOCH [31/100], ITER [580/1666] 
LOSS: 0.00154885, TIME: 17479.5s
STEP [50580], EPOCH [31/100], ITER [600/1666] 
LOSS: 0.00057727, TIME: 17486.9s
STEP [50600], EPOCH [31/100], ITER [620/1666] 
LOSS: 0.00113085, TIME: 17494.2s
STEP [50620], EPOCH [31/100], ITER [640/1666] 
LOSS: 0.00097703, TIME: 17501.5s
STEP [50640], EPOCH [31/100], ITER [660/1666] 
LOSS: 0.00106123, TIME: 17508.8s
STEP [50660], EPOCH [31/100], ITER [680/1666] 
LOSS: 0.00097358, TIME: 17516.1s
STEP [50680], EPOCH [31/100], ITER [700/1666] 
LOSS: 0.00084677, TIME: 17523.4s
STEP [50700], EPOCH [31/100], ITER [720/1666] 
LOSS: 0.00078016, TIME: 17530.7s
STEP [50720], EPOCH [31/100], ITER [740/1666] 
LOSS: 0.00070165, TIME: 17538.0s
STEP [50740], EPOCH [31/100], ITER [760/1666] 
LOSS: 0.00062531, TIME: 17545.4s
STEP [50760], EPOCH [31/100], ITER [780/1666] 
LOSS: 0.00090276, TIME: 17552.7s
STEP [50780], EPOCH [31/100], ITER [800/1666] 
LOSS: 0.00079844, TIME: 17560.0s
STEP [50800], EPOCH [31/100], ITER [820/1666] 
LOSS: 0.00135781, TIME: 17567.3s
STEP [50820], EPOCH [31/100], ITER [840/1666] 
LOSS: 0.00084886, TIME: 17574.6s
STEP [50840], EPOCH [31/100], ITER [860/1666] 
LOSS: 0.00083930, TIME: 17581.9s
STEP [50860], EPOCH [31/100], ITER [880/1666] 
LOSS: 0.00066688, TIME: 17589.2s
STEP [50880], EPOCH [31/100], ITER [900/1666] 
LOSS: 0.00075644, TIME: 17596.5s
STEP [50900], EPOCH [31/100], ITER [920/1666] 
LOSS: 0.00074519, TIME: 17603.9s
STEP [50920], EPOCH [31/100], ITER [940/1666] 
LOSS: 0.00064079, TIME: 17611.2s
STEP [50940], EPOCH [31/100], ITER [960/1666] 
LOSS: 0.00092346, TIME: 17618.5s
STEP [50960], EPOCH [31/100], ITER [980/1666] 
LOSS: 0.00097715, TIME: 17625.8s
STEP [50980], EPOCH [31/100], ITER [1000/1666] 
LOSS: 0.00054105, TIME: 17633.1s
STEP [51000], EPOCH [31/100], ITER [1020/1666] 
LOSS: 0.00136024, TIME: 17640.5s
STEP [51020], EPOCH [31/100], ITER [1040/1666] 
LOSS: 0.00064014, TIME: 17647.8s
STEP [51040], EPOCH [31/100], ITER [1060/1666] 
LOSS: 0.00113348, TIME: 17655.2s
STEP [51060], EPOCH [31/100], ITER [1080/1666] 
LOSS: 0.00094118, TIME: 17662.4s
STEP [51080], EPOCH [31/100], ITER [1100/1666] 
LOSS: 0.00139151, TIME: 17669.8s
STEP [51100], EPOCH [31/100], ITER [1120/1666] 
LOSS: 0.00086232, TIME: 17677.1s
STEP [51120], EPOCH [31/100], ITER [1140/1666] 
LOSS: 0.00082617, TIME: 17684.4s
STEP [51140], EPOCH [31/100], ITER [1160/1666] 
LOSS: 0.00081359, TIME: 17691.8s
STEP [51160], EPOCH [31/100], ITER [1180/1666] 
LOSS: 0.00069670, TIME: 17699.1s
STEP [51180], EPOCH [31/100], ITER [1200/1666] 
LOSS: 0.00129151, TIME: 17706.4s
STEP [51200], EPOCH [31/100], ITER [1220/1666] 
LOSS: 0.00103022, TIME: 17713.7s
STEP [51220], EPOCH [31/100], ITER [1240/1666] 
LOSS: 0.00105001, TIME: 17721.0s
STEP [51240], EPOCH [31/100], ITER [1260/1666] 
LOSS: 0.00083962, TIME: 17728.4s
STEP [51260], EPOCH [31/100], ITER [1280/1666] 
LOSS: 0.00082981, TIME: 17735.7s
STEP [51280], EPOCH [31/100], ITER [1300/1666] 
LOSS: 0.00092348, TIME: 17743.0s
STEP [51300], EPOCH [31/100], ITER [1320/1666] 
LOSS: 0.00050686, TIME: 17750.3s
STEP [51320], EPOCH [31/100], ITER [1340/1666] 
LOSS: 0.00063778, TIME: 17757.7s
STEP [51340], EPOCH [31/100], ITER [1360/1666] 
LOSS: 0.00055564, TIME: 17765.0s
STEP [51360], EPOCH [31/100], ITER [1380/1666] 
LOSS: 0.00085820, TIME: 17772.3s
STEP [51380], EPOCH [31/100], ITER [1400/1666] 
LOSS: 0.00077617, TIME: 17779.6s
STEP [51400], EPOCH [31/100], ITER [1420/1666] 
LOSS: 0.00131412, TIME: 17787.0s
STEP [51420], EPOCH [31/100], ITER [1440/1666] 
LOSS: 0.00082694, TIME: 17794.3s
STEP [51440], EPOCH [31/100], ITER [1460/1666] 
LOSS: 0.00137578, TIME: 17801.6s
STEP [51460], EPOCH [31/100], ITER [1480/1666] 
LOSS: 0.00089664, TIME: 17809.0s
STEP [51480], EPOCH [31/100], ITER [1500/1666] 
LOSS: 0.00065137, TIME: 17816.3s
STEP [51500], EPOCH [31/100], ITER [1520/1666] 
LOSS: 0.00055184, TIME: 17823.5s
STEP [51520], EPOCH [31/100], ITER [1540/1666] 
LOSS: 0.00084795, TIME: 17830.9s
STEP [51540], EPOCH [31/100], ITER [1560/1666] 
LOSS: 0.00147011, TIME: 17838.2s
STEP [51560], EPOCH [31/100], ITER [1580/1666] 
LOSS: 0.00095879, TIME: 17845.5s
STEP [51580], EPOCH [31/100], ITER [1600/1666] 
LOSS: 0.00061456, TIME: 17852.8s
STEP [51600], EPOCH [31/100], ITER [1620/1666] 
LOSS: 0.00112623, TIME: 17860.1s
STEP [51620], EPOCH [31/100], ITER [1640/1666] 
LOSS: 0.00154067, TIME: 17867.5s
STEP [51640], EPOCH [31/100], ITER [1660/1666] 
LOSS: 0.00097463, TIME: 17874.8s
STEP [51660], EPOCH [32/100], ITER [14/1666] 
LOSS: 0.00080777, TIME: 17890.4s
STEP [51680], EPOCH [32/100], ITER [34/1666] 
LOSS: 0.00063234, TIME: 17897.8s
STEP [51700], EPOCH [32/100], ITER [54/1666] 
LOSS: 0.00077885, TIME: 17905.1s
STEP [51720], EPOCH [32/100], ITER [74/1666] 
LOSS: 0.00069846, TIME: 17912.4s
STEP [51740], EPOCH [32/100], ITER [94/1666] 
LOSS: 0.00119766, TIME: 17919.8s
STEP [51760], EPOCH [32/100], ITER [114/1666] 
LOSS: 0.00129079, TIME: 17927.1s
STEP [51780], EPOCH [32/100], ITER [134/1666] 
LOSS: 0.00131465, TIME: 17934.4s
STEP [51800], EPOCH [32/100], ITER [154/1666] 
LOSS: 0.00067127, TIME: 17941.7s
STEP [51820], EPOCH [32/100], ITER [174/1666] 
LOSS: 0.00077501, TIME: 17949.0s
STEP [51840], EPOCH [32/100], ITER [194/1666] 
LOSS: 0.00089623, TIME: 17956.4s
STEP [51860], EPOCH [32/100], ITER [214/1666] 
LOSS: 0.00073349, TIME: 17963.7s
STEP [51880], EPOCH [32/100], ITER [234/1666] 
LOSS: 0.00081138, TIME: 17970.9s
STEP [51900], EPOCH [32/100], ITER [254/1666] 
LOSS: 0.00100623, TIME: 17978.3s
STEP [51920], EPOCH [32/100], ITER [274/1666] 
LOSS: 0.00101306, TIME: 17985.6s
STEP [51940], EPOCH [32/100], ITER [294/1666] 
LOSS: 0.00065778, TIME: 17992.9s
STEP [51960], EPOCH [32/100], ITER [314/1666] 
LOSS: 0.00103758, TIME: 18000.2s
STEP [51980], EPOCH [32/100], ITER [334/1666] 
LOSS: 0.00116254, TIME: 18007.6s
STEP [52000], EPOCH [32/100], ITER [354/1666] 
LOSS: 0.00106539, TIME: 18014.9s
STEP [52020], EPOCH [32/100], ITER [374/1666] 
LOSS: 0.00054942, TIME: 18022.2s
STEP [52040], EPOCH [32/100], ITER [394/1666] 
LOSS: 0.00087870, TIME: 18029.6s
STEP [52060], EPOCH [32/100], ITER [414/1666] 
LOSS: 0.00129791, TIME: 18036.9s
STEP [52080], EPOCH [32/100], ITER [434/1666] 
LOSS: 0.00087039, TIME: 18044.2s
STEP [52100], EPOCH [32/100], ITER [454/1666] 
LOSS: 0.00109767, TIME: 18051.5s
STEP [52120], EPOCH [32/100], ITER [474/1666] 
LOSS: 0.00075188, TIME: 18058.8s
STEP [52140], EPOCH [32/100], ITER [494/1666] 
LOSS: 0.00087073, TIME: 18066.1s
STEP [52160], EPOCH [32/100], ITER [514/1666] 
LOSS: 0.00079160, TIME: 18073.4s
STEP [52180], EPOCH [32/100], ITER [534/1666] 
LOSS: 0.00095910, TIME: 18080.8s
STEP [52200], EPOCH [32/100], ITER [554/1666] 
LOSS: 0.00090808, TIME: 18088.1s
STEP [52220], EPOCH [32/100], ITER [574/1666] 
LOSS: 0.00091786, TIME: 18095.4s
STEP [52240], EPOCH [32/100], ITER [594/1666] 
LOSS: 0.00101440, TIME: 18102.7s
STEP [52260], EPOCH [32/100], ITER [614/1666] 
LOSS: 0.00073191, TIME: 18110.1s
STEP [52280], EPOCH [32/100], ITER [634/1666] 
LOSS: 0.00097986, TIME: 18117.4s
STEP [52300], EPOCH [32/100], ITER [654/1666] 
LOSS: 0.00105535, TIME: 18124.7s
STEP [52320], EPOCH [32/100], ITER [674/1666] 
LOSS: 0.00085880, TIME: 18132.0s
STEP [52340], EPOCH [32/100], ITER [694/1666] 
LOSS: 0.00077420, TIME: 18139.3s
STEP [52360], EPOCH [32/100], ITER [714/1666] 
LOSS: 0.00089181, TIME: 18146.6s
STEP [52380], EPOCH [32/100], ITER [734/1666] 
LOSS: 0.00068646, TIME: 18154.0s
STEP [52400], EPOCH [32/100], ITER [754/1666] 
LOSS: 0.00072030, TIME: 18161.3s
STEP [52420], EPOCH [32/100], ITER [774/1666] 
LOSS: 0.00125154, TIME: 18168.6s
STEP [52440], EPOCH [32/100], ITER [794/1666] 
LOSS: 0.00066835, TIME: 18175.9s
STEP [52460], EPOCH [32/100], ITER [814/1666] 
LOSS: 0.00092135, TIME: 18183.3s
STEP [52480], EPOCH [32/100], ITER [834/1666] 
LOSS: 0.00077882, TIME: 18190.6s
STEP [52500], EPOCH [32/100], ITER [854/1666] 
LOSS: 0.00056656, TIME: 18197.9s
STEP [52520], EPOCH [32/100], ITER [874/1666] 
LOSS: 0.00082522, TIME: 18205.2s
STEP [52540], EPOCH [32/100], ITER [894/1666] 
LOSS: 0.00110678, TIME: 18212.6s
STEP [52560], EPOCH [32/100], ITER [914/1666] 
LOSS: 0.00094973, TIME: 18219.9s
STEP [52580], EPOCH [32/100], ITER [934/1666] 
LOSS: 0.00057311, TIME: 18227.2s
STEP [52600], EPOCH [32/100], ITER [954/1666] 
LOSS: 0.00117009, TIME: 18234.5s
STEP [52620], EPOCH [32/100], ITER [974/1666] 
LOSS: 0.00109493, TIME: 18241.9s
STEP [52640], EPOCH [32/100], ITER [994/1666] 
LOSS: 0.00117661, TIME: 18249.2s
STEP [52660], EPOCH [32/100], ITER [1014/1666] 
LOSS: 0.00104622, TIME: 18256.5s
STEP [52680], EPOCH [32/100], ITER [1034/1666] 
LOSS: 0.00095772, TIME: 18263.8s
STEP [52700], EPOCH [32/100], ITER [1054/1666] 
LOSS: 0.00061931, TIME: 18271.2s
STEP [52720], EPOCH [32/100], ITER [1074/1666] 
LOSS: 0.00050681, TIME: 18278.5s
STEP [52740], EPOCH [32/100], ITER [1094/1666] 
LOSS: 0.00066121, TIME: 18285.8s
STEP [52760], EPOCH [32/100], ITER [1114/1666] 
LOSS: 0.00093350, TIME: 18293.1s
STEP [52780], EPOCH [32/100], ITER [1134/1666] 
LOSS: 0.00069312, TIME: 18300.4s
STEP [52800], EPOCH [32/100], ITER [1154/1666] 
LOSS: 0.00070375, TIME: 18307.7s
STEP [52820], EPOCH [32/100], ITER [1174/1666] 
LOSS: 0.00062481, TIME: 18315.1s
STEP [52840], EPOCH [32/100], ITER [1194/1666] 
LOSS: 0.00083406, TIME: 18322.4s
STEP [52860], EPOCH [32/100], ITER [1214/1666] 
LOSS: 0.00074942, TIME: 18329.7s
STEP [52880], EPOCH [32/100], ITER [1234/1666] 
LOSS: 0.00106384, TIME: 18337.1s
STEP [52900], EPOCH [32/100], ITER [1254/1666] 
LOSS: 0.00077522, TIME: 18344.4s
STEP [52920], EPOCH [32/100], ITER [1274/1666] 
LOSS: 0.00120067, TIME: 18351.7s
STEP [52940], EPOCH [32/100], ITER [1294/1666] 
LOSS: 0.00080233, TIME: 18359.0s
STEP [52960], EPOCH [32/100], ITER [1314/1666] 
LOSS: 0.00110611, TIME: 18363.2s
STEP [52980], EPOCH [32/100], ITER [1334/1666] 
LOSS: 0.00101667, TIME: 18369.2s
STEP [53000], EPOCH [32/100], ITER [1354/1666] 
LOSS: 0.00090490, TIME: 18376.6s
STEP [53020], EPOCH [32/100], ITER [1374/1666] 
LOSS: 0.00058411, TIME: 18383.9s
STEP [53040], EPOCH [32/100], ITER [1394/1666] 
LOSS: 0.00092653, TIME: 18391.2s
STEP [53060], EPOCH [32/100], ITER [1414/1666] 
LOSS: 0.00088007, TIME: 18398.6s
STEP [53080], EPOCH [32/100], ITER [1434/1666] 
LOSS: 0.00091470, TIME: 18405.9s
STEP [53100], EPOCH [32/100], ITER [1454/1666] 
LOSS: 0.00077149, TIME: 18413.2s
STEP [53120], EPOCH [32/100], ITER [1474/1666] 
LOSS: 0.00091519, TIME: 18420.5s
STEP [53140], EPOCH [32/100], ITER [1494/1666] 
LOSS: 0.00115070, TIME: 18427.9s
STEP [53160], EPOCH [32/100], ITER [1514/1666] 
LOSS: 0.00108056, TIME: 18435.2s
STEP [53180], EPOCH [32/100], ITER [1534/1666] 
LOSS: 0.00071134, TIME: 18442.5s
STEP [53200], EPOCH [32/100], ITER [1554/1666] 
LOSS: 0.00129755, TIME: 18449.8s
STEP [53220], EPOCH [32/100], ITER [1574/1666] 
LOSS: 0.00065751, TIME: 18457.1s
STEP [53240], EPOCH [32/100], ITER [1594/1666] 
LOSS: 0.00106989, TIME: 18464.5s
STEP [53260], EPOCH [32/100], ITER [1614/1666] 
LOSS: 0.00078861, TIME: 18471.8s
STEP [53280], EPOCH [32/100], ITER [1634/1666] 
LOSS: 0.00048907, TIME: 18479.1s
STEP [53300], EPOCH [32/100], ITER [1654/1666] 
LOSS: 0.00052307, TIME: 18486.5s
STEP [53320], EPOCH [33/100], ITER [8/1666] 
LOSS: 0.00094568, TIME: 18502.5s
STEP [53340], EPOCH [33/100], ITER [28/1666] 
LOSS: 0.00131691, TIME: 18509.8s
STEP [53360], EPOCH [33/100], ITER [48/1666] 
LOSS: 0.00090838, TIME: 18517.1s
STEP [53380], EPOCH [33/100], ITER [68/1666] 
LOSS: 0.00086917, TIME: 18524.4s
STEP [53400], EPOCH [33/100], ITER [88/1666] 
LOSS: 0.00072711, TIME: 18531.7s
STEP [53420], EPOCH [33/100], ITER [108/1666] 
LOSS: 0.00077605, TIME: 18539.1s
STEP [53440], EPOCH [33/100], ITER [128/1666] 
LOSS: 0.00089276, TIME: 18546.4s
STEP [53460], EPOCH [33/100], ITER [148/1666] 
LOSS: 0.00117466, TIME: 18553.7s
STEP [53480], EPOCH [33/100], ITER [168/1666] 
LOSS: 0.00083867, TIME: 18561.0s
STEP [53500], EPOCH [33/100], ITER [188/1666] 
LOSS: 0.00071949, TIME: 18568.3s
STEP [53520], EPOCH [33/100], ITER [208/1666] 
LOSS: 0.00067760, TIME: 18575.7s
STEP [53540], EPOCH [33/100], ITER [228/1666] 
LOSS: 0.00104899, TIME: 18583.0s
STEP [53560], EPOCH [33/100], ITER [248/1666] 
LOSS: 0.00074525, TIME: 18590.3s
STEP [53580], EPOCH [33/100], ITER [268/1666] 
LOSS: 0.00069273, TIME: 18597.6s
STEP [53600], EPOCH [33/100], ITER [288/1666] 
LOSS: 0.00086351, TIME: 18604.9s
STEP [53620], EPOCH [33/100], ITER [308/1666] 
LOSS: 0.00101627, TIME: 18612.2s
STEP [53640], EPOCH [33/100], ITER [328/1666] 
LOSS: 0.00066124, TIME: 18619.6s
STEP [53660], EPOCH [33/100], ITER [348/1666] 
LOSS: 0.00084189, TIME: 18626.9s
STEP [53680], EPOCH [33/100], ITER [368/1666] 
LOSS: 0.00164735, TIME: 18634.2s
STEP [53700], EPOCH [33/100], ITER [388/1666] 
LOSS: 0.00064949, TIME: 18641.5s
STEP [53720], EPOCH [33/100], ITER [408/1666] 
LOSS: 0.00094829, TIME: 18648.8s
STEP [53740], EPOCH [33/100], ITER [428/1666] 
LOSS: 0.00069600, TIME: 18656.2s
STEP [53760], EPOCH [33/100], ITER [448/1666] 
LOSS: 0.00110287, TIME: 18663.5s
STEP [53780], EPOCH [33/100], ITER [468/1666] 
LOSS: 0.00093359, TIME: 18670.8s
STEP [53800], EPOCH [33/100], ITER [488/1666] 
LOSS: 0.00112773, TIME: 18678.1s
STEP [53820], EPOCH [33/100], ITER [508/1666] 
LOSS: 0.00061497, TIME: 18685.4s
STEP [53840], EPOCH [33/100], ITER [528/1666] 
LOSS: 0.00055246, TIME: 18692.7s
STEP [53860], EPOCH [33/100], ITER [548/1666] 
LOSS: 0.00140399, TIME: 18700.0s
STEP [53880], EPOCH [33/100], ITER [568/1666] 
LOSS: 0.00097252, TIME: 18707.3s
STEP [53900], EPOCH [33/100], ITER [588/1666] 
LOSS: 0.00094947, TIME: 18714.7s
STEP [53920], EPOCH [33/100], ITER [608/1666] 
LOSS: 0.00059623, TIME: 18722.0s
STEP [53940], EPOCH [33/100], ITER [628/1666] 
LOSS: 0.00071080, TIME: 18729.3s
STEP [53960], EPOCH [33/100], ITER [648/1666] 
LOSS: 0.00060506, TIME: 18736.6s
STEP [53980], EPOCH [33/100], ITER [668/1666] 
LOSS: 0.00109858, TIME: 18743.9s
STEP [54000], EPOCH [33/100], ITER [688/1666] 
LOSS: 0.00043726, TIME: 18751.2s
STEP [54020], EPOCH [33/100], ITER [708/1666] 
LOSS: 0.00065142, TIME: 18758.6s
STEP [54040], EPOCH [33/100], ITER [728/1666] 
LOSS: 0.00052712, TIME: 18765.9s
STEP [54060], EPOCH [33/100], ITER [748/1666] 
LOSS: 0.00056387, TIME: 18773.2s
STEP [54080], EPOCH [33/100], ITER [768/1666] 
LOSS: 0.00092483, TIME: 18780.5s
STEP [54100], EPOCH [33/100], ITER [788/1666] 
LOSS: 0.00108368, TIME: 18787.8s
STEP [54120], EPOCH [33/100], ITER [808/1666] 
LOSS: 0.00039534, TIME: 18795.1s
STEP [54140], EPOCH [33/100], ITER [828/1666] 
LOSS: 0.00101501, TIME: 18802.5s
STEP [54160], EPOCH [33/100], ITER [848/1666] 
LOSS: 0.00065793, TIME: 18809.8s
STEP [54180], EPOCH [33/100], ITER [868/1666] 
LOSS: 0.00087804, TIME: 18817.1s
STEP [54200], EPOCH [33/100], ITER [888/1666] 
LOSS: 0.00115251, TIME: 18824.4s
STEP [54220], EPOCH [33/100], ITER [908/1666] 
LOSS: 0.00073241, TIME: 18831.7s
STEP [54240], EPOCH [33/100], ITER [928/1666] 
LOSS: 0.00092909, TIME: 18839.0s
STEP [54260], EPOCH [33/100], ITER [948/1666] 
LOSS: 0.00100566, TIME: 18846.3s
STEP [54280], EPOCH [33/100], ITER [968/1666] 
LOSS: 0.00050268, TIME: 18853.6s
STEP [54300], EPOCH [33/100], ITER [988/1666] 
LOSS: 0.00147068, TIME: 18861.0s
STEP [54320], EPOCH [33/100], ITER [1008/1666] 
LOSS: 0.00129039, TIME: 18868.3s
STEP [54340], EPOCH [33/100], ITER [1028/1666] 
LOSS: 0.00108537, TIME: 18875.6s
STEP [54360], EPOCH [33/100], ITER [1048/1666] 
LOSS: 0.00068303, TIME: 18882.9s
STEP [54380], EPOCH [33/100], ITER [1068/1666] 
LOSS: 0.00085333, TIME: 18890.3s
STEP [54400], EPOCH [33/100], ITER [1088/1666] 
LOSS: 0.00092515, TIME: 18897.6s
STEP [54420], EPOCH [33/100], ITER [1108/1666] 
LOSS: 0.00054607, TIME: 18904.9s
STEP [54440], EPOCH [33/100], ITER [1128/1666] 
LOSS: 0.00053342, TIME: 18912.1s
STEP [54460], EPOCH [33/100], ITER [1148/1666] 
LOSS: 0.00045730, TIME: 18919.4s
STEP [54480], EPOCH [33/100], ITER [1168/1666] 
LOSS: 0.00166755, TIME: 18926.8s
STEP [54500], EPOCH [33/100], ITER [1188/1666] 
LOSS: 0.00089396, TIME: 18934.1s
STEP [54520], EPOCH [33/100], ITER [1208/1666] 
LOSS: 0.00069090, TIME: 18941.4s
STEP [54540], EPOCH [33/100], ITER [1228/1666] 
LOSS: 0.00095519, TIME: 18948.7s
STEP [54560], EPOCH [33/100], ITER [1248/1666] 
LOSS: 0.00090718, TIME: 18956.1s
STEP [54580], EPOCH [33/100], ITER [1268/1666] 
LOSS: 0.00085365, TIME: 18963.4s
STEP [54600], EPOCH [33/100], ITER [1288/1666] 
LOSS: 0.00065658, TIME: 18970.7s
STEP [54620], EPOCH [33/100], ITER [1308/1666] 
LOSS: 0.00080222, TIME: 18978.0s
STEP [54640], EPOCH [33/100], ITER [1328/1666] 
LOSS: 0.00098709, TIME: 18985.3s
STEP [54660], EPOCH [33/100], ITER [1348/1666] 
LOSS: 0.00096022, TIME: 18992.6s
STEP [54680], EPOCH [33/100], ITER [1368/1666] 
LOSS: 0.00186691, TIME: 18999.9s
STEP [54700], EPOCH [33/100], ITER [1388/1666] 
LOSS: 0.00114632, TIME: 19007.2s
STEP [54720], EPOCH [33/100], ITER [1408/1666] 
LOSS: 0.00076191, TIME: 19014.6s
STEP [54740], EPOCH [33/100], ITER [1428/1666] 
LOSS: 0.00077390, TIME: 19021.9s
STEP [54760], EPOCH [33/100], ITER [1448/1666] 
LOSS: 0.00075508, TIME: 19029.2s
STEP [54780], EPOCH [33/100], ITER [1468/1666] 
LOSS: 0.00112334, TIME: 19036.5s
STEP [54800], EPOCH [33/100], ITER [1488/1666] 
LOSS: 0.00074966, TIME: 19043.8s
STEP [54820], EPOCH [33/100], ITER [1508/1666] 
LOSS: 0.00060853, TIME: 19051.1s
STEP [54840], EPOCH [33/100], ITER [1528/1666] 
LOSS: 0.00068668, TIME: 19058.5s
STEP [54860], EPOCH [33/100], ITER [1548/1666] 
LOSS: 0.00082478, TIME: 19065.7s
STEP [54880], EPOCH [33/100], ITER [1568/1666] 
LOSS: 0.00087320, TIME: 19073.0s
STEP [54900], EPOCH [33/100], ITER [1588/1666] 
LOSS: 0.00091672, TIME: 19080.4s
STEP [54920], EPOCH [33/100], ITER [1608/1666] 
LOSS: 0.00099216, TIME: 19087.7s
STEP [54940], EPOCH [33/100], ITER [1628/1666] 
LOSS: 0.00061846, TIME: 19095.0s
STEP [54960], EPOCH [33/100], ITER [1648/1666] 
LOSS: 0.00066984, TIME: 19102.3s
STEP [54980], EPOCH [34/100], ITER [2/1666] 
LOSS: 0.00075800, TIME: 19118.4s
STEP [55000], EPOCH [34/100], ITER [22/1666] 
LOSS: 0.00088410, TIME: 19125.7s
STEP [55020], EPOCH [34/100], ITER [42/1666] 
LOSS: 0.00102288, TIME: 19133.0s
STEP [55040], EPOCH [34/100], ITER [62/1666] 
LOSS: 0.00088791, TIME: 19140.3s
STEP [55060], EPOCH [34/100], ITER [82/1666] 
LOSS: 0.00103139, TIME: 19147.7s
STEP [55080], EPOCH [34/100], ITER [102/1666] 
LOSS: 0.00112081, TIME: 19155.0s
STEP [55100], EPOCH [34/100], ITER [122/1666] 
LOSS: 0.00149769, TIME: 19162.3s
STEP [55120], EPOCH [34/100], ITER [142/1666] 
LOSS: 0.00057277, TIME: 19169.6s
STEP [55140], EPOCH [34/100], ITER [162/1666] 
LOSS: 0.00064066, TIME: 19176.9s
STEP [55160], EPOCH [34/100], ITER [182/1666] 
LOSS: 0.00073413, TIME: 19184.3s
STEP [55180], EPOCH [34/100], ITER [202/1666] 
LOSS: 0.00071439, TIME: 19191.6s
STEP [55200], EPOCH [34/100], ITER [222/1666] 
LOSS: 0.00085538, TIME: 19198.9s
STEP [55220], EPOCH [34/100], ITER [242/1666] 
LOSS: 0.00068457, TIME: 19206.2s
STEP [55240], EPOCH [34/100], ITER [262/1666] 
LOSS: 0.00091455, TIME: 19213.5s
STEP [55260], EPOCH [34/100], ITER [282/1666] 
LOSS: 0.00079470, TIME: 19220.8s
STEP [55280], EPOCH [34/100], ITER [302/1666] 
LOSS: 0.00095292, TIME: 19228.1s
STEP [55300], EPOCH [34/100], ITER [322/1666] 
LOSS: 0.00069353, TIME: 19235.4s
STEP [55320], EPOCH [34/100], ITER [342/1666] 
LOSS: 0.00066009, TIME: 19242.7s
STEP [55340], EPOCH [34/100], ITER [362/1666] 
LOSS: 0.00107871, TIME: 19250.1s
STEP [55360], EPOCH [34/100], ITER [382/1666] 
LOSS: 0.00077051, TIME: 19257.3s
STEP [55380], EPOCH [34/100], ITER [402/1666] 
LOSS: 0.00082701, TIME: 19264.6s
STEP [55400], EPOCH [34/100], ITER [422/1666] 
LOSS: 0.00093821, TIME: 19272.0s
STEP [55420], EPOCH [34/100], ITER [442/1666] 
LOSS: 0.00081153, TIME: 19279.2s
STEP [55440], EPOCH [34/100], ITER [462/1666] 
LOSS: 0.00084273, TIME: 19286.6s
STEP [55460], EPOCH [34/100], ITER [482/1666] 
LOSS: 0.00064645, TIME: 19293.8s
STEP [55480], EPOCH [34/100], ITER [502/1666] 
LOSS: 0.00068437, TIME: 19301.2s
STEP [55500], EPOCH [34/100], ITER [522/1666] 
LOSS: 0.00081198, TIME: 19308.5s
STEP [55520], EPOCH [34/100], ITER [542/1666] 
LOSS: 0.00084276, TIME: 19315.8s
STEP [55540], EPOCH [34/100], ITER [562/1666] 
LOSS: 0.00119583, TIME: 19323.1s
STEP [55560], EPOCH [34/100], ITER [582/1666] 
LOSS: 0.00069381, TIME: 19330.4s
STEP [55580], EPOCH [34/100], ITER [602/1666] 
LOSS: 0.00064692, TIME: 19337.7s
STEP [55600], EPOCH [34/100], ITER [622/1666] 
LOSS: 0.00082205, TIME: 19345.0s
STEP [55620], EPOCH [34/100], ITER [642/1666] 
LOSS: 0.00086818, TIME: 19352.3s
STEP [55640], EPOCH [34/100], ITER [662/1666] 
LOSS: 0.00057982, TIME: 19359.6s
STEP [55660], EPOCH [34/100], ITER [682/1666] 
LOSS: 0.00084906, TIME: 19366.9s
STEP [55680], EPOCH [34/100], ITER [702/1666] 
LOSS: 0.00078816, TIME: 19374.1s
STEP [55700], EPOCH [34/100], ITER [722/1666] 
LOSS: 0.00062573, TIME: 19381.4s
STEP [55720], EPOCH [34/100], ITER [742/1666] 
LOSS: 0.00175437, TIME: 19388.7s
STEP [55740], EPOCH [34/100], ITER [762/1666] 
LOSS: 0.00081150, TIME: 19396.1s
STEP [55760], EPOCH [34/100], ITER [782/1666] 
LOSS: 0.00094267, TIME: 19403.4s
STEP [55780], EPOCH [34/100], ITER [802/1666] 
LOSS: 0.00104193, TIME: 19410.7s
STEP [55800], EPOCH [34/100], ITER [822/1666] 
LOSS: 0.00052345, TIME: 19418.0s
STEP [55820], EPOCH [34/100], ITER [842/1666] 
LOSS: 0.00110343, TIME: 19425.4s
STEP [55840], EPOCH [34/100], ITER [862/1666] 
LOSS: 0.00086835, TIME: 19432.7s
STEP [55860], EPOCH [34/100], ITER [882/1666] 
LOSS: 0.00098836, TIME: 19440.0s
STEP [55880], EPOCH [34/100], ITER [902/1666] 
LOSS: 0.00067089, TIME: 19447.3s
STEP [55900], EPOCH [34/100], ITER [922/1666] 
LOSS: 0.00074730, TIME: 19454.6s
STEP [55920], EPOCH [34/100], ITER [942/1666] 
LOSS: 0.00039034, TIME: 19461.9s
STEP [55940], EPOCH [34/100], ITER [962/1666] 
LOSS: 0.00062824, TIME: 19469.3s
STEP [55960], EPOCH [34/100], ITER [982/1666] 
LOSS: 0.00084065, TIME: 19476.6s
STEP [55980], EPOCH [34/100], ITER [1002/1666] 
LOSS: 0.00054878, TIME: 19483.9s
STEP [56000], EPOCH [34/100], ITER [1022/1666] 
LOSS: 0.00121120, TIME: 19491.3s
STEP [56020], EPOCH [34/100], ITER [1042/1666] 
LOSS: 0.00052588, TIME: 19498.6s
STEP [56040], EPOCH [34/100], ITER [1062/1666] 
LOSS: 0.00115714, TIME: 19506.0s
STEP [56060], EPOCH [34/100], ITER [1082/1666] 
LOSS: 0.00092094, TIME: 19513.3s
STEP [56080], EPOCH [34/100], ITER [1102/1666] 
LOSS: 0.00082203, TIME: 19520.6s
STEP [56100], EPOCH [34/100], ITER [1122/1666] 
LOSS: 0.00068569, TIME: 19527.9s
STEP [56120], EPOCH [34/100], ITER [1142/1666] 
LOSS: 0.00056970, TIME: 19535.2s
STEP [56140], EPOCH [34/100], ITER [1162/1666] 
LOSS: 0.00049494, TIME: 19542.6s
STEP [56160], EPOCH [34/100], ITER [1182/1666] 
LOSS: 0.00071625, TIME: 19549.9s
STEP [56180], EPOCH [34/100], ITER [1202/1666] 
LOSS: 0.00059283, TIME: 19557.2s
STEP [56200], EPOCH [34/100], ITER [1222/1666] 
LOSS: 0.00126895, TIME: 19564.5s
STEP [56220], EPOCH [34/100], ITER [1242/1666] 
LOSS: 0.00073849, TIME: 19571.8s
STEP [56240], EPOCH [34/100], ITER [1262/1666] 
LOSS: 0.00127248, TIME: 19579.2s
STEP [56260], EPOCH [34/100], ITER [1282/1666] 
LOSS: 0.00089068, TIME: 19586.5s
STEP [56280], EPOCH [34/100], ITER [1302/1666] 
LOSS: 0.00087713, TIME: 19593.8s
STEP [56300], EPOCH [34/100], ITER [1322/1666] 
LOSS: 0.00071477, TIME: 19601.2s
STEP [56320], EPOCH [34/100], ITER [1342/1666] 
LOSS: 0.00063332, TIME: 19608.4s
STEP [56340], EPOCH [34/100], ITER [1362/1666] 
LOSS: 0.00076725, TIME: 19615.8s
STEP [56360], EPOCH [34/100], ITER [1382/1666] 
LOSS: 0.00077543, TIME: 19623.1s
STEP [56380], EPOCH [34/100], ITER [1402/1666] 
LOSS: 0.00065212, TIME: 19630.5s
STEP [56400], EPOCH [34/100], ITER [1422/1666] 
LOSS: 0.00077201, TIME: 19637.8s
STEP [56420], EPOCH [34/100], ITER [1442/1666] 
LOSS: 0.00124281, TIME: 19645.1s
STEP [56440], EPOCH [34/100], ITER [1462/1666] 
LOSS: 0.00031564, TIME: 19652.5s
STEP [56460], EPOCH [34/100], ITER [1482/1666] 
LOSS: 0.00066960, TIME: 19659.8s
STEP [56480], EPOCH [34/100], ITER [1502/1666] 
LOSS: 0.00075710, TIME: 19667.1s
STEP [56500], EPOCH [34/100], ITER [1522/1666] 
LOSS: 0.00046168, TIME: 19674.5s
STEP [56520], EPOCH [34/100], ITER [1542/1666] 
LOSS: 0.00076356, TIME: 19681.8s
STEP [56540], EPOCH [34/100], ITER [1562/1666] 
LOSS: 0.00066914, TIME: 19689.1s
STEP [56560], EPOCH [34/100], ITER [1582/1666] 
LOSS: 0.00090286, TIME: 19696.4s
STEP [56580], EPOCH [34/100], ITER [1602/1666] 
LOSS: 0.00110404, TIME: 19703.7s
STEP [56600], EPOCH [34/100], ITER [1622/1666] 
LOSS: 0.00051305, TIME: 19711.0s
STEP [56620], EPOCH [34/100], ITER [1642/1666] 
LOSS: 0.00087761, TIME: 19718.3s
STEP [56640], EPOCH [34/100], ITER [1662/1666] 
LOSS: 0.00066041, TIME: 19725.7s
STEP [56660], EPOCH [35/100], ITER [16/1666] 
LOSS: 0.00068787, TIME: 19741.4s
STEP [56680], EPOCH [35/100], ITER [36/1666] 
LOSS: 0.00066524, TIME: 19748.7s
STEP [56700], EPOCH [35/100], ITER [56/1666] 
LOSS: 0.00059410, TIME: 19756.0s
STEP [56720], EPOCH [35/100], ITER [76/1666] 
LOSS: 0.00086976, TIME: 19763.4s
STEP [56740], EPOCH [35/100], ITER [96/1666] 
LOSS: 0.00135542, TIME: 19770.7s
STEP [56760], EPOCH [35/100], ITER [116/1666] 
LOSS: 0.00080523, TIME: 19778.0s
STEP [56780], EPOCH [35/100], ITER [136/1666] 
LOSS: 0.00081567, TIME: 19785.3s
STEP [56800], EPOCH [35/100], ITER [156/1666] 
LOSS: 0.00071409, TIME: 19792.7s
STEP [56820], EPOCH [35/100], ITER [176/1666] 
LOSS: 0.00098587, TIME: 19800.0s
STEP [56840], EPOCH [35/100], ITER [196/1666] 
LOSS: 0.00059987, TIME: 19807.3s
STEP [56860], EPOCH [35/100], ITER [216/1666] 
LOSS: 0.00145555, TIME: 19814.6s
STEP [56880], EPOCH [35/100], ITER [236/1666] 
LOSS: 0.00117471, TIME: 19821.9s
STEP [56900], EPOCH [35/100], ITER [256/1666] 
LOSS: 0.00092362, TIME: 19829.3s
STEP [56920], EPOCH [35/100], ITER [276/1666] 
LOSS: 0.00088125, TIME: 19836.5s
STEP [56940], EPOCH [35/100], ITER [296/1666] 
LOSS: 0.00061679, TIME: 19843.9s
STEP [56960], EPOCH [35/100], ITER [316/1666] 
LOSS: 0.00120481, TIME: 19851.2s
STEP [56980], EPOCH [35/100], ITER [336/1666] 
LOSS: 0.00086382, TIME: 19858.5s
STEP [57000], EPOCH [35/100], ITER [356/1666] 
LOSS: 0.00079698, TIME: 19865.8s
STEP [57020], EPOCH [35/100], ITER [376/1666] 
LOSS: 0.00074589, TIME: 19873.2s
STEP [57040], EPOCH [35/100], ITER [396/1666] 
LOSS: 0.00097580, TIME: 19880.5s
STEP [57060], EPOCH [35/100], ITER [416/1666] 
LOSS: 0.00095670, TIME: 19887.8s
STEP [57080], EPOCH [35/100], ITER [436/1666] 
LOSS: 0.00100423, TIME: 19895.1s
STEP [57100], EPOCH [35/100], ITER [456/1666] 
LOSS: 0.00081879, TIME: 19902.4s
STEP [57120], EPOCH [35/100], ITER [476/1666] 
LOSS: 0.00091249, TIME: 19909.7s
STEP [57140], EPOCH [35/100], ITER [496/1666] 
LOSS: 0.00074878, TIME: 19913.6s
STEP [57160], EPOCH [35/100], ITER [516/1666] 
LOSS: 0.00115966, TIME: 19919.9s
STEP [57180], EPOCH [35/100], ITER [536/1666] 
LOSS: 0.00075941, TIME: 19927.2s
STEP [57200], EPOCH [35/100], ITER [556/1666] 
LOSS: 0.00148155, TIME: 19934.5s
STEP [57220], EPOCH [35/100], ITER [576/1666] 
LOSS: 0.00086309, TIME: 19941.8s
STEP [57240], EPOCH [35/100], ITER [596/1666] 
LOSS: 0.00179537, TIME: 19949.1s
STEP [57260], EPOCH [35/100], ITER [616/1666] 
LOSS: 0.00089168, TIME: 19956.5s
STEP [57280], EPOCH [35/100], ITER [636/1666] 
LOSS: 0.00071981, TIME: 19963.8s
STEP [57300], EPOCH [35/100], ITER [656/1666] 
LOSS: 0.00092139, TIME: 19971.1s
STEP [57320], EPOCH [35/100], ITER [676/1666] 
LOSS: 0.00054089, TIME: 19978.4s
STEP [57340], EPOCH [35/100], ITER [696/1666] 
LOSS: 0.00070315, TIME: 19985.7s
STEP [57360], EPOCH [35/100], ITER [716/1666] 
LOSS: 0.00091341, TIME: 19993.1s
STEP [57380], EPOCH [35/100], ITER [736/1666] 
LOSS: 0.00090874, TIME: 20000.4s
STEP [57400], EPOCH [35/100], ITER [756/1666] 
LOSS: 0.00145622, TIME: 20007.7s
STEP [57420], EPOCH [35/100], ITER [776/1666] 
LOSS: 0.00093858, TIME: 20015.1s
STEP [57440], EPOCH [35/100], ITER [796/1666] 
LOSS: 0.00120819, TIME: 20022.4s
STEP [57460], EPOCH [35/100], ITER [816/1666] 
LOSS: 0.00112447, TIME: 20029.7s
STEP [57480], EPOCH [35/100], ITER [836/1666] 
LOSS: 0.00065488, TIME: 20037.1s
STEP [57500], EPOCH [35/100], ITER [856/1666] 
LOSS: 0.00077356, TIME: 20044.4s
STEP [57520], EPOCH [35/100], ITER [876/1666] 
LOSS: 0.00072474, TIME: 20051.7s
STEP [57540], EPOCH [35/100], ITER [896/1666] 
LOSS: 0.00046959, TIME: 20059.1s
STEP [57560], EPOCH [35/100], ITER [916/1666] 
LOSS: 0.00074892, TIME: 20066.4s
STEP [57580], EPOCH [35/100], ITER [936/1666] 
LOSS: 0.00169645, TIME: 20073.7s
STEP [57600], EPOCH [35/100], ITER [956/1666] 
LOSS: 0.00101516, TIME: 20081.0s
STEP [57620], EPOCH [35/100], ITER [976/1666] 
LOSS: 0.00066343, TIME: 20088.4s
STEP [57640], EPOCH [35/100], ITER [996/1666] 
LOSS: 0.00088947, TIME: 20095.7s
STEP [57660], EPOCH [35/100], ITER [1016/1666] 
LOSS: 0.00100809, TIME: 20103.0s
STEP [57680], EPOCH [35/100], ITER [1036/1666] 
LOSS: 0.00063648, TIME: 20110.4s
STEP [57700], EPOCH [35/100], ITER [1056/1666] 
LOSS: 0.00095977, TIME: 20117.7s
STEP [57720], EPOCH [35/100], ITER [1076/1666] 
LOSS: 0.00061736, TIME: 20125.0s
STEP [57740], EPOCH [35/100], ITER [1096/1666] 
LOSS: 0.00083113, TIME: 20132.3s
STEP [57760], EPOCH [35/100], ITER [1116/1666] 
LOSS: 0.00102973, TIME: 20139.7s
STEP [57780], EPOCH [35/100], ITER [1136/1666] 
LOSS: 0.00069467, TIME: 20147.0s
STEP [57800], EPOCH [35/100], ITER [1156/1666] 
LOSS: 0.00047950, TIME: 20154.2s
STEP [57820], EPOCH [35/100], ITER [1176/1666] 
LOSS: 0.00070890, TIME: 20161.5s
STEP [57840], EPOCH [35/100], ITER [1196/1666] 
LOSS: 0.00084119, TIME: 20168.9s
STEP [57860], EPOCH [35/100], ITER [1216/1666] 
LOSS: 0.00086816, TIME: 20176.2s
STEP [57880], EPOCH [35/100], ITER [1236/1666] 
LOSS: 0.00073182, TIME: 20183.5s
STEP [57900], EPOCH [35/100], ITER [1256/1666] 
LOSS: 0.00065585, TIME: 20190.8s
STEP [57920], EPOCH [35/100], ITER [1276/1666] 
LOSS: 0.00093766, TIME: 20198.2s
STEP [57940], EPOCH [35/100], ITER [1296/1666] 
LOSS: 0.00067797, TIME: 20205.5s
STEP [57960], EPOCH [35/100], ITER [1316/1666] 
LOSS: 0.00094159, TIME: 20212.8s
STEP [57980], EPOCH [35/100], ITER [1336/1666] 
LOSS: 0.00087820, TIME: 20220.2s
STEP [58000], EPOCH [35/100], ITER [1356/1666] 
LOSS: 0.00093442, TIME: 20227.5s
STEP [58020], EPOCH [35/100], ITER [1376/1666] 
LOSS: 0.00087457, TIME: 20234.8s
STEP [58040], EPOCH [35/100], ITER [1396/1666] 
LOSS: 0.00079437, TIME: 20242.1s
STEP [58060], EPOCH [35/100], ITER [1416/1666] 
LOSS: 0.00087679, TIME: 20249.4s
STEP [58080], EPOCH [35/100], ITER [1436/1666] 
LOSS: 0.00133919, TIME: 20256.8s
STEP [58100], EPOCH [35/100], ITER [1456/1666] 
LOSS: 0.00081008, TIME: 20264.1s
STEP [58120], EPOCH [35/100], ITER [1476/1666] 
LOSS: 0.00102303, TIME: 20271.4s
STEP [58140], EPOCH [35/100], ITER [1496/1666] 
LOSS: 0.00060325, TIME: 20278.7s
STEP [58160], EPOCH [35/100], ITER [1516/1666] 
LOSS: 0.00101289, TIME: 20286.1s
STEP [58180], EPOCH [35/100], ITER [1536/1666] 
LOSS: 0.00072325, TIME: 20293.4s
STEP [58200], EPOCH [35/100], ITER [1556/1666] 
LOSS: 0.00095425, TIME: 20300.7s
STEP [58220], EPOCH [35/100], ITER [1576/1666] 
LOSS: 0.00084000, TIME: 20308.1s
STEP [58240], EPOCH [35/100], ITER [1596/1666] 
LOSS: 0.00069967, TIME: 20315.3s
STEP [58260], EPOCH [35/100], ITER [1616/1666] 
LOSS: 0.00080100, TIME: 20322.6s
STEP [58280], EPOCH [35/100], ITER [1636/1666] 
LOSS: 0.00090946, TIME: 20330.0s
STEP [58300], EPOCH [35/100], ITER [1656/1666] 
LOSS: 0.00113018, TIME: 20337.3s
STEP [58320], EPOCH [36/100], ITER [10/1666] 
LOSS: 0.00082338, TIME: 20353.1s
STEP [58340], EPOCH [36/100], ITER [30/1666] 
LOSS: 0.00075317, TIME: 20360.5s
STEP [58360], EPOCH [36/100], ITER [50/1666] 
LOSS: 0.00073457, TIME: 20367.8s
STEP [58380], EPOCH [36/100], ITER [70/1666] 
LOSS: 0.00115852, TIME: 20375.2s
STEP [58400], EPOCH [36/100], ITER [90/1666] 
LOSS: 0.00063778, TIME: 20382.4s
STEP [58420], EPOCH [36/100], ITER [110/1666] 
LOSS: 0.00080712, TIME: 20389.8s
STEP [58440], EPOCH [36/100], ITER [130/1666] 
LOSS: 0.00086562, TIME: 20397.1s
STEP [58460], EPOCH [36/100], ITER [150/1666] 
LOSS: 0.00065595, TIME: 20404.4s
STEP [58480], EPOCH [36/100], ITER [170/1666] 
LOSS: 0.00066502, TIME: 20411.7s
STEP [58500], EPOCH [36/100], ITER [190/1666] 
LOSS: 0.00058799, TIME: 20419.1s
STEP [58520], EPOCH [36/100], ITER [210/1666] 
LOSS: 0.00090808, TIME: 20426.4s
STEP [58540], EPOCH [36/100], ITER [230/1666] 
LOSS: 0.00077105, TIME: 20433.7s
STEP [58560], EPOCH [36/100], ITER [250/1666] 
LOSS: 0.00122243, TIME: 20441.1s
STEP [58580], EPOCH [36/100], ITER [270/1666] 
LOSS: 0.00064749, TIME: 20448.4s
STEP [58600], EPOCH [36/100], ITER [290/1666] 
LOSS: 0.00140032, TIME: 20455.7s
STEP [58620], EPOCH [36/100], ITER [310/1666] 
LOSS: 0.00091333, TIME: 20463.0s
STEP [58640], EPOCH [36/100], ITER [330/1666] 
LOSS: 0.00058566, TIME: 20470.3s
STEP [58660], EPOCH [36/100], ITER [350/1666] 
LOSS: 0.00075722, TIME: 20477.6s
STEP [58680], EPOCH [36/100], ITER [370/1666] 
LOSS: 0.00099425, TIME: 20485.0s
STEP [58700], EPOCH [36/100], ITER [390/1666] 
LOSS: 0.00105700, TIME: 20492.3s
STEP [58720], EPOCH [36/100], ITER [410/1666] 
LOSS: 0.00077969, TIME: 20499.6s
STEP [58740], EPOCH [36/100], ITER [430/1666] 
LOSS: 0.00096154, TIME: 20506.9s
STEP [58760], EPOCH [36/100], ITER [450/1666] 
LOSS: 0.00075238, TIME: 20514.2s
STEP [58780], EPOCH [36/100], ITER [470/1666] 
LOSS: 0.00105571, TIME: 20521.5s
STEP [58800], EPOCH [36/100], ITER [490/1666] 
LOSS: 0.00097789, TIME: 20528.9s
STEP [58820], EPOCH [36/100], ITER [510/1666] 
LOSS: 0.00098498, TIME: 20536.1s
STEP [58840], EPOCH [36/100], ITER [530/1666] 
LOSS: 0.00126524, TIME: 20543.5s
STEP [58860], EPOCH [36/100], ITER [550/1666] 
LOSS: 0.00081598, TIME: 20550.8s
STEP [58880], EPOCH [36/100], ITER [570/1666] 
LOSS: 0.00063117, TIME: 20558.1s
STEP [58900], EPOCH [36/100], ITER [590/1666] 
LOSS: 0.00078776, TIME: 20565.4s
STEP [58920], EPOCH [36/100], ITER [610/1666] 
LOSS: 0.00091083, TIME: 20572.8s
STEP [58940], EPOCH [36/100], ITER [630/1666] 
LOSS: 0.00092666, TIME: 20580.1s
STEP [58960], EPOCH [36/100], ITER [650/1666] 
LOSS: 0.00073506, TIME: 20587.4s
STEP [58980], EPOCH [36/100], ITER [670/1666] 
LOSS: 0.00078371, TIME: 20594.7s
STEP [59000], EPOCH [36/100], ITER [690/1666] 
LOSS: 0.00057519, TIME: 20602.0s
STEP [59020], EPOCH [36/100], ITER [710/1666] 
LOSS: 0.00067176, TIME: 20609.4s
STEP [59040], EPOCH [36/100], ITER [730/1666] 
LOSS: 0.00058636, TIME: 20616.6s
STEP [59060], EPOCH [36/100], ITER [750/1666] 
LOSS: 0.00072614, TIME: 20624.0s
STEP [59080], EPOCH [36/100], ITER [770/1666] 
LOSS: 0.00060711, TIME: 20631.3s
STEP [59100], EPOCH [36/100], ITER [790/1666] 
LOSS: 0.00076468, TIME: 20638.6s
STEP [59120], EPOCH [36/100], ITER [810/1666] 
LOSS: 0.00102436, TIME: 20645.9s
STEP [59140], EPOCH [36/100], ITER [830/1666] 
LOSS: 0.00092649, TIME: 20653.3s
STEP [59160], EPOCH [36/100], ITER [850/1666] 
LOSS: 0.00150926, TIME: 20660.6s
STEP [59180], EPOCH [36/100], ITER [870/1666] 
LOSS: 0.00109843, TIME: 20667.9s
STEP [59200], EPOCH [36/100], ITER [890/1666] 
LOSS: 0.00106149, TIME: 20675.2s
STEP [59220], EPOCH [36/100], ITER [910/1666] 
LOSS: 0.00081227, TIME: 20682.5s
STEP [59240], EPOCH [36/100], ITER [930/1666] 
LOSS: 0.00080314, TIME: 20689.8s
STEP [59260], EPOCH [36/100], ITER [950/1666] 
LOSS: 0.00047556, TIME: 20697.0s
STEP [59280], EPOCH [36/100], ITER [970/1666] 
LOSS: 0.00229109, TIME: 20704.3s
STEP [59300], EPOCH [36/100], ITER [990/1666] 
LOSS: 0.00088060, TIME: 20711.7s
STEP [59320], EPOCH [36/100], ITER [1010/1666] 
LOSS: 0.00096333, TIME: 20719.0s
STEP [59340], EPOCH [36/100], ITER [1030/1666] 
LOSS: 0.00088755, TIME: 20726.3s
STEP [59360], EPOCH [36/100], ITER [1050/1666] 
LOSS: 0.00098262, TIME: 20733.6s
STEP [59380], EPOCH [36/100], ITER [1070/1666] 
LOSS: 0.00090831, TIME: 20740.9s
STEP [59400], EPOCH [36/100], ITER [1090/1666] 
LOSS: 0.00065614, TIME: 20748.1s
STEP [59420], EPOCH [36/100], ITER [1110/1666] 
LOSS: 0.00096567, TIME: 20755.5s
STEP [59440], EPOCH [36/100], ITER [1130/1666] 
LOSS: 0.00104556, TIME: 20762.8s
STEP [59460], EPOCH [36/100], ITER [1150/1666] 
LOSS: 0.00098769, TIME: 20770.1s
STEP [59480], EPOCH [36/100], ITER [1170/1666] 
LOSS: 0.00059340, TIME: 20777.3s
STEP [59500], EPOCH [36/100], ITER [1190/1666] 
LOSS: 0.00092374, TIME: 20784.7s
STEP [59520], EPOCH [36/100], ITER [1210/1666] 
LOSS: 0.00048527, TIME: 20791.9s
STEP [59540], EPOCH [36/100], ITER [1230/1666] 
LOSS: 0.00060263, TIME: 20799.3s
STEP [59560], EPOCH [36/100], ITER [1250/1666] 
LOSS: 0.00078322, TIME: 20806.6s
STEP [59580], EPOCH [36/100], ITER [1270/1666] 
LOSS: 0.00094820, TIME: 20813.9s
STEP [59600], EPOCH [36/100], ITER [1290/1666] 
LOSS: 0.00073016, TIME: 20821.3s
STEP [59620], EPOCH [36/100], ITER [1310/1666] 
LOSS: 0.00078288, TIME: 20828.5s
STEP [59640], EPOCH [36/100], ITER [1330/1666] 
LOSS: 0.00093981, TIME: 20835.9s
STEP [59660], EPOCH [36/100], ITER [1350/1666] 
LOSS: 0.00075072, TIME: 20843.2s
STEP [59680], EPOCH [36/100], ITER [1370/1666] 
LOSS: 0.00103260, TIME: 20850.5s
STEP [59700], EPOCH [36/100], ITER [1390/1666] 
LOSS: 0.00080217, TIME: 20857.8s
STEP [59720], EPOCH [36/100], ITER [1410/1666] 
LOSS: 0.00063655, TIME: 20865.1s
STEP [59740], EPOCH [36/100], ITER [1430/1666] 
LOSS: 0.00120221, TIME: 20872.4s
STEP [59760], EPOCH [36/100], ITER [1450/1666] 
LOSS: 0.00090866, TIME: 20879.7s
STEP [59780], EPOCH [36/100], ITER [1470/1666] 
LOSS: 0.00071623, TIME: 20887.1s
STEP [59800], EPOCH [36/100], ITER [1490/1666] 
LOSS: 0.00079399, TIME: 20894.4s
STEP [59820], EPOCH [36/100], ITER [1510/1666] 
LOSS: 0.00073728, TIME: 20901.7s
STEP [59840], EPOCH [36/100], ITER [1530/1666] 
LOSS: 0.00050900, TIME: 20909.0s
STEP [59860], EPOCH [36/100], ITER [1550/1666] 
LOSS: 0.00078106, TIME: 20916.3s
STEP [59880], EPOCH [36/100], ITER [1570/1666] 
LOSS: 0.00113354, TIME: 20923.7s
STEP [59900], EPOCH [36/100], ITER [1590/1666] 
LOSS: 0.00064778, TIME: 20930.9s
STEP [59920], EPOCH [36/100], ITER [1610/1666] 
LOSS: 0.00055866, TIME: 20938.3s
STEP [59940], EPOCH [36/100], ITER [1630/1666] 
LOSS: 0.00081399, TIME: 20945.7s
STEP [59960], EPOCH [36/100], ITER [1650/1666] 
LOSS: 0.00056295, TIME: 20953.0s
STEP [59980], EPOCH [37/100], ITER [4/1666] 
LOSS: 0.00064366, TIME: 20968.9s
STEP [60000], EPOCH [37/100], ITER [24/1666] 
LOSS: 0.00087908, TIME: 20976.2s
STEP [60020], EPOCH [37/100], ITER [44/1666] 
LOSS: 0.00072235, TIME: 20983.5s
STEP [60040], EPOCH [37/100], ITER [64/1666] 
LOSS: 0.00100514, TIME: 20990.8s
STEP [60060], EPOCH [37/100], ITER [84/1666] 
LOSS: 0.00072623, TIME: 20998.1s
STEP [60080], EPOCH [37/100], ITER [104/1666] 
LOSS: 0.00073350, TIME: 21005.4s
STEP [60100], EPOCH [37/100], ITER [124/1666] 
LOSS: 0.00068011, TIME: 21012.7s
STEP [60120], EPOCH [37/100], ITER [144/1666] 
LOSS: 0.00079853, TIME: 21020.1s
STEP [60140], EPOCH [37/100], ITER [164/1666] 
LOSS: 0.00068624, TIME: 21027.4s
STEP [60160], EPOCH [37/100], ITER [184/1666] 
LOSS: 0.00061871, TIME: 21034.7s
STEP [60180], EPOCH [37/100], ITER [204/1666] 
LOSS: 0.00071023, TIME: 21042.0s
STEP [60200], EPOCH [37/100], ITER [224/1666] 
LOSS: 0.00087440, TIME: 21049.3s
STEP [60220], EPOCH [37/100], ITER [244/1666] 
LOSS: 0.00137906, TIME: 21056.7s
STEP [60240], EPOCH [37/100], ITER [264/1666] 
LOSS: 0.00089733, TIME: 21064.0s
STEP [60260], EPOCH [37/100], ITER [284/1666] 
LOSS: 0.00065476, TIME: 21071.3s
STEP [60280], EPOCH [37/100], ITER [304/1666] 
LOSS: 0.00185873, TIME: 21078.6s
STEP [60300], EPOCH [37/100], ITER [324/1666] 
LOSS: 0.00076622, TIME: 21085.9s
STEP [60320], EPOCH [37/100], ITER [344/1666] 
LOSS: 0.00097002, TIME: 21093.2s
STEP [60340], EPOCH [37/100], ITER [364/1666] 
LOSS: 0.00096956, TIME: 21100.5s
STEP [60360], EPOCH [37/100], ITER [384/1666] 
LOSS: 0.00078102, TIME: 21107.8s
STEP [60380], EPOCH [37/100], ITER [404/1666] 
LOSS: 0.00103065, TIME: 21115.1s
STEP [60400], EPOCH [37/100], ITER [424/1666] 
LOSS: 0.00087632, TIME: 21122.4s
STEP [60420], EPOCH [37/100], ITER [444/1666] 
LOSS: 0.00091011, TIME: 21129.7s
STEP [60440], EPOCH [37/100], ITER [464/1666] 
LOSS: 0.00078633, TIME: 21137.0s
STEP [60460], EPOCH [37/100], ITER [484/1666] 
LOSS: 0.00162928, TIME: 21144.3s
STEP [60480], EPOCH [37/100], ITER [504/1666] 
LOSS: 0.00069446, TIME: 21151.6s
STEP [60500], EPOCH [37/100], ITER [524/1666] 
LOSS: 0.00077450, TIME: 21158.9s
STEP [60520], EPOCH [37/100], ITER [544/1666] 
LOSS: 0.00093680, TIME: 21166.2s
STEP [60540], EPOCH [37/100], ITER [564/1666] 
LOSS: 0.00058536, TIME: 21173.5s
STEP [60560], EPOCH [37/100], ITER [584/1666] 
LOSS: 0.00069570, TIME: 21180.8s
STEP [60580], EPOCH [37/100], ITER [604/1666] 
LOSS: 0.00077411, TIME: 21188.1s
STEP [60600], EPOCH [37/100], ITER [624/1666] 
LOSS: 0.00139962, TIME: 21195.5s
STEP [60620], EPOCH [37/100], ITER [644/1666] 
LOSS: 0.00132831, TIME: 21202.8s
STEP [60640], EPOCH [37/100], ITER [664/1666] 
LOSS: 0.00097857, TIME: 21210.1s
STEP [60660], EPOCH [37/100], ITER [684/1666] 
LOSS: 0.00055548, TIME: 21217.4s
STEP [60680], EPOCH [37/100], ITER [704/1666] 
LOSS: 0.00080539, TIME: 21224.7s
STEP [60700], EPOCH [37/100], ITER [724/1666] 
LOSS: 0.00096017, TIME: 21232.0s
STEP [60720], EPOCH [37/100], ITER [744/1666] 
LOSS: 0.00066935, TIME: 21239.2s
STEP [60740], EPOCH [37/100], ITER [764/1666] 
LOSS: 0.00097481, TIME: 21246.6s
STEP [60760], EPOCH [37/100], ITER [784/1666] 
LOSS: 0.00089775, TIME: 21253.9s
STEP [60780], EPOCH [37/100], ITER [804/1666] 
LOSS: 0.00083906, TIME: 21261.2s
STEP [60800], EPOCH [37/100], ITER [824/1666] 
LOSS: 0.00116409, TIME: 21268.5s
STEP [60820], EPOCH [37/100], ITER [844/1666] 
LOSS: 0.00072657, TIME: 21275.9s
STEP [60840], EPOCH [37/100], ITER [864/1666] 
LOSS: 0.00092245, TIME: 21283.2s
STEP [60860], EPOCH [37/100], ITER [884/1666] 
LOSS: 0.00077271, TIME: 21290.5s
STEP [60880], EPOCH [37/100], ITER [904/1666] 
LOSS: 0.00086053, TIME: 21297.8s
STEP [60900], EPOCH [37/100], ITER [924/1666] 
LOSS: 0.00081382, TIME: 21305.2s
STEP [60920], EPOCH [37/100], ITER [944/1666] 
LOSS: 0.00068079, TIME: 21312.4s
STEP [60940], EPOCH [37/100], ITER [964/1666] 
LOSS: 0.00130531, TIME: 21319.7s
STEP [60960], EPOCH [37/100], ITER [984/1666] 
LOSS: 0.00076172, TIME: 21327.1s
STEP [60980], EPOCH [37/100], ITER [1004/1666] 
LOSS: 0.00066663, TIME: 21334.4s
STEP [61000], EPOCH [37/100], ITER [1024/1666] 
LOSS: 0.00059886, TIME: 21341.7s
STEP [61020], EPOCH [37/100], ITER [1044/1666] 
LOSS: 0.00085492, TIME: 21349.1s
STEP [61040], EPOCH [37/100], ITER [1064/1666] 
LOSS: 0.00110047, TIME: 21356.4s
STEP [61060], EPOCH [37/100], ITER [1084/1666] 
LOSS: 0.00074330, TIME: 21363.7s
STEP [61080], EPOCH [37/100], ITER [1104/1666] 
LOSS: 0.00110596, TIME: 21371.0s
STEP [61100], EPOCH [37/100], ITER [1124/1666] 
LOSS: 0.00046326, TIME: 21378.3s
STEP [61120], EPOCH [37/100], ITER [1144/1666] 
LOSS: 0.00079040, TIME: 21385.7s
STEP [61140], EPOCH [37/100], ITER [1164/1666] 
LOSS: 0.00091708, TIME: 21393.0s
STEP [61160], EPOCH [37/100], ITER [1184/1666] 
LOSS: 0.00075695, TIME: 21400.3s
STEP [61180], EPOCH [37/100], ITER [1204/1666] 
LOSS: 0.00101519, TIME: 21407.6s
STEP [61200], EPOCH [37/100], ITER [1224/1666] 
LOSS: 0.00093434, TIME: 21414.9s
STEP [61220], EPOCH [37/100], ITER [1244/1666] 
LOSS: 0.00119953, TIME: 21422.2s
STEP [61240], EPOCH [37/100], ITER [1264/1666] 
LOSS: 0.00078145, TIME: 21429.5s
STEP [61260], EPOCH [37/100], ITER [1284/1666] 
LOSS: 0.00081686, TIME: 21436.9s
STEP [61280], EPOCH [37/100], ITER [1304/1666] 
LOSS: 0.00111427, TIME: 21444.2s
STEP [61300], EPOCH [37/100], ITER [1324/1666] 
LOSS: 0.00050016, TIME: 21451.5s
STEP [61320], EPOCH [37/100], ITER [1344/1666] 
LOSS: 0.00084753, TIME: 21458.9s
STEP [61340], EPOCH [37/100], ITER [1364/1666] 
LOSS: 0.00081166, TIME: 21466.2s
STEP [61360], EPOCH [37/100], ITER [1384/1666] 
LOSS: 0.00079958, TIME: 21472.3s
STEP [61380], EPOCH [37/100], ITER [1404/1666] 
LOSS: 0.00080896, TIME: 21476.5s
STEP [61400], EPOCH [37/100], ITER [1424/1666] 
LOSS: 0.00070234, TIME: 21483.8s
STEP [61420], EPOCH [37/100], ITER [1444/1666] 
LOSS: 0.00082955, TIME: 21491.1s
STEP [61440], EPOCH [37/100], ITER [1464/1666] 
LOSS: 0.00061338, TIME: 21498.4s
STEP [61460], EPOCH [37/100], ITER [1484/1666] 
LOSS: 0.00080026, TIME: 21505.7s
STEP [61480], EPOCH [37/100], ITER [1504/1666] 
LOSS: 0.00114120, TIME: 21513.1s
STEP [61500], EPOCH [37/100], ITER [1524/1666] 
LOSS: 0.00106703, TIME: 21520.4s
STEP [61520], EPOCH [37/100], ITER [1544/1666] 
LOSS: 0.00056752, TIME: 21527.8s
STEP [61540], EPOCH [37/100], ITER [1564/1666] 
LOSS: 0.00127738, TIME: 21535.1s
STEP [61560], EPOCH [37/100], ITER [1584/1666] 
LOSS: 0.00109515, TIME: 21542.4s
STEP [61580], EPOCH [37/100], ITER [1604/1666] 
LOSS: 0.00088211, TIME: 21549.7s
STEP [61600], EPOCH [37/100], ITER [1624/1666] 
LOSS: 0.00103636, TIME: 21557.1s
STEP [61620], EPOCH [37/100], ITER [1644/1666] 
LOSS: 0.00158940, TIME: 21564.4s
STEP [61640], EPOCH [37/100], ITER [1664/1666] 
LOSS: 0.00114762, TIME: 21571.7s
STEP [61660], EPOCH [38/100], ITER [18/1666] 
LOSS: 0.00080484, TIME: 21587.7s
STEP [61680], EPOCH [38/100], ITER [38/1666] 
LOSS: 0.00046920, TIME: 21595.0s
STEP [61700], EPOCH [38/100], ITER [58/1666] 
LOSS: 0.00054524, TIME: 21602.4s
STEP [61720], EPOCH [38/100], ITER [78/1666] 
LOSS: 0.00063945, TIME: 21609.7s
STEP [61740], EPOCH [38/100], ITER [98/1666] 
LOSS: 0.00111696, TIME: 21617.0s
STEP [61760], EPOCH [38/100], ITER [118/1666] 
LOSS: 0.00090994, TIME: 21624.3s
STEP [61780], EPOCH [38/100], ITER [138/1666] 
LOSS: 0.00082643, TIME: 21631.6s
STEP [61800], EPOCH [38/100], ITER [158/1666] 
LOSS: 0.00076687, TIME: 21639.0s
STEP [61820], EPOCH [38/100], ITER [178/1666] 
LOSS: 0.00096008, TIME: 21646.3s
STEP [61840], EPOCH [38/100], ITER [198/1666] 
LOSS: 0.00085276, TIME: 21653.6s
STEP [61860], EPOCH [38/100], ITER [218/1666] 
LOSS: 0.00060570, TIME: 21661.0s
STEP [61880], EPOCH [38/100], ITER [238/1666] 
LOSS: 0.00106289, TIME: 21668.3s
STEP [61900], EPOCH [38/100], ITER [258/1666] 
LOSS: 0.00088459, TIME: 21675.6s
STEP [61920], EPOCH [38/100], ITER [278/1666] 
LOSS: 0.00045238, TIME: 21682.9s
STEP [61940], EPOCH [38/100], ITER [298/1666] 
LOSS: 0.00075898, TIME: 21690.3s
STEP [61960], EPOCH [38/100], ITER [318/1666] 
LOSS: 0.00087043, TIME: 21697.6s
STEP [61980], EPOCH [38/100], ITER [338/1666] 
LOSS: 0.00063540, TIME: 21704.9s
STEP [62000], EPOCH [38/100], ITER [358/1666] 
LOSS: 0.00114218, TIME: 21712.2s
STEP [62020], EPOCH [38/100], ITER [378/1666] 
LOSS: 0.00049815, TIME: 21719.5s
STEP [62040], EPOCH [38/100], ITER [398/1666] 
LOSS: 0.00096850, TIME: 21726.9s
STEP [62060], EPOCH [38/100], ITER [418/1666] 
LOSS: 0.00127784, TIME: 21734.2s
STEP [62080], EPOCH [38/100], ITER [438/1666] 
LOSS: 0.00061458, TIME: 21741.5s
STEP [62100], EPOCH [38/100], ITER [458/1666] 
LOSS: 0.00134107, TIME: 21748.9s
STEP [62120], EPOCH [38/100], ITER [478/1666] 
LOSS: 0.00049808, TIME: 21756.2s
STEP [62140], EPOCH [38/100], ITER [498/1666] 
LOSS: 0.00101836, TIME: 21763.5s
STEP [62160], EPOCH [38/100], ITER [518/1666] 
LOSS: 0.00096819, TIME: 21770.8s
STEP [62180], EPOCH [38/100], ITER [538/1666] 
LOSS: 0.00081451, TIME: 21778.2s
STEP [62200], EPOCH [38/100], ITER [558/1666] 
LOSS: 0.00106779, TIME: 21785.4s
STEP [62220], EPOCH [38/100], ITER [578/1666] 
LOSS: 0.00084056, TIME: 21792.8s
STEP [62240], EPOCH [38/100], ITER [598/1666] 
LOSS: 0.00097647, TIME: 21800.1s
STEP [62260], EPOCH [38/100], ITER [618/1666] 
LOSS: 0.00049497, TIME: 21807.4s
STEP [62280], EPOCH [38/100], ITER [638/1666] 
LOSS: 0.00046985, TIME: 21814.7s
STEP [62300], EPOCH [38/100], ITER [658/1666] 
LOSS: 0.00122641, TIME: 21822.1s
STEP [62320], EPOCH [38/100], ITER [678/1666] 
LOSS: 0.00097829, TIME: 21829.4s
STEP [62340], EPOCH [38/100], ITER [698/1666] 
LOSS: 0.00092142, TIME: 21836.7s
STEP [62360], EPOCH [38/100], ITER [718/1666] 
LOSS: 0.00067457, TIME: 21844.0s
STEP [62380], EPOCH [38/100], ITER [738/1666] 
LOSS: 0.00086500, TIME: 21851.3s
STEP [62400], EPOCH [38/100], ITER [758/1666] 
LOSS: 0.00091291, TIME: 21858.6s
STEP [62420], EPOCH [38/100], ITER [778/1666] 
LOSS: 0.00076658, TIME: 21866.0s
STEP [62440], EPOCH [38/100], ITER [798/1666] 
LOSS: 0.00056773, TIME: 21873.3s
STEP [62460], EPOCH [38/100], ITER [818/1666] 
LOSS: 0.00060641, TIME: 21880.6s
STEP [62480], EPOCH [38/100], ITER [838/1666] 
LOSS: 0.00142017, TIME: 21887.9s
STEP [62500], EPOCH [38/100], ITER [858/1666] 
LOSS: 0.00103891, TIME: 21895.2s
STEP [62520], EPOCH [38/100], ITER [878/1666] 
LOSS: 0.00056805, TIME: 21902.6s
STEP [62540], EPOCH [38/100], ITER [898/1666] 
LOSS: 0.00064265, TIME: 21909.9s
STEP [62560], EPOCH [38/100], ITER [918/1666] 
LOSS: 0.00083215, TIME: 21917.2s
STEP [62580], EPOCH [38/100], ITER [938/1666] 
LOSS: 0.00153831, TIME: 21924.5s
STEP [62600], EPOCH [38/100], ITER [958/1666] 
LOSS: 0.00065013, TIME: 21931.8s
STEP [62620], EPOCH [38/100], ITER [978/1666] 
LOSS: 0.00150414, TIME: 21939.2s
STEP [62640], EPOCH [38/100], ITER [998/1666] 
LOSS: 0.00125067, TIME: 21946.4s
STEP [62660], EPOCH [38/100], ITER [1018/1666] 
LOSS: 0.00111758, TIME: 21953.8s
STEP [62680], EPOCH [38/100], ITER [1038/1666] 
LOSS: 0.00095576, TIME: 21961.1s
STEP [62700], EPOCH [38/100], ITER [1058/1666] 
LOSS: 0.00086390, TIME: 21968.5s
STEP [62720], EPOCH [38/100], ITER [1078/1666] 
LOSS: 0.00079290, TIME: 21975.8s
STEP [62740], EPOCH [38/100], ITER [1098/1666] 
LOSS: 0.00129358, TIME: 21983.1s
STEP [62760], EPOCH [38/100], ITER [1118/1666] 
LOSS: 0.00076463, TIME: 21990.4s
STEP [62780], EPOCH [38/100], ITER [1138/1666] 
LOSS: 0.00099761, TIME: 21997.8s
STEP [62800], EPOCH [38/100], ITER [1158/1666] 
LOSS: 0.00110426, TIME: 22005.1s
STEP [62820], EPOCH [38/100], ITER [1178/1666] 
LOSS: 0.00101859, TIME: 22012.4s
STEP [62840], EPOCH [38/100], ITER [1198/1666] 
LOSS: 0.00085824, TIME: 22019.7s
STEP [62860], EPOCH [38/100], ITER [1218/1666] 
LOSS: 0.00098578, TIME: 22027.0s
STEP [62880], EPOCH [38/100], ITER [1238/1666] 
LOSS: 0.00069282, TIME: 22034.3s
STEP [62900], EPOCH [38/100], ITER [1258/1666] 
LOSS: 0.00076462, TIME: 22041.7s
STEP [62920], EPOCH [38/100], ITER [1278/1666] 
LOSS: 0.00080255, TIME: 22049.0s
STEP [62940], EPOCH [38/100], ITER [1298/1666] 
LOSS: 0.00076628, TIME: 22056.3s
STEP [62960], EPOCH [38/100], ITER [1318/1666] 
LOSS: 0.00081890, TIME: 22063.7s
STEP [62980], EPOCH [38/100], ITER [1338/1666] 
LOSS: 0.00058806, TIME: 22071.0s
STEP [63000], EPOCH [38/100], ITER [1358/1666] 
LOSS: 0.00065540, TIME: 22078.3s
STEP [63020], EPOCH [38/100], ITER [1378/1666] 
LOSS: 0.00074624, TIME: 22085.7s
STEP [63040], EPOCH [38/100], ITER [1398/1666] 
LOSS: 0.00102942, TIME: 22093.0s
STEP [63060], EPOCH [38/100], ITER [1418/1666] 
LOSS: 0.00131764, TIME: 22100.3s
STEP [63080], EPOCH [38/100], ITER [1438/1666] 
LOSS: 0.00068672, TIME: 22107.6s
STEP [63100], EPOCH [38/100], ITER [1458/1666] 
LOSS: 0.00064460, TIME: 22114.9s
STEP [63120], EPOCH [38/100], ITER [1478/1666] 
LOSS: 0.00066690, TIME: 22122.2s
STEP [63140], EPOCH [38/100], ITER [1498/1666] 
LOSS: 0.00096818, TIME: 22129.5s
STEP [63160], EPOCH [38/100], ITER [1518/1666] 
LOSS: 0.00082311, TIME: 22136.8s
STEP [63180], EPOCH [38/100], ITER [1538/1666] 
LOSS: 0.00080023, TIME: 22144.1s
STEP [63200], EPOCH [38/100], ITER [1558/1666] 
LOSS: 0.00079939, TIME: 22151.4s
STEP [63220], EPOCH [38/100], ITER [1578/1666] 
LOSS: 0.00056465, TIME: 22158.7s
STEP [63240], EPOCH [38/100], ITER [1598/1666] 
LOSS: 0.00071832, TIME: 22166.0s
STEP [63260], EPOCH [38/100], ITER [1618/1666] 
LOSS: 0.00070815, TIME: 22173.4s
STEP [63280], EPOCH [38/100], ITER [1638/1666] 
LOSS: 0.00078599, TIME: 22180.6s
STEP [63300], EPOCH [38/100], ITER [1658/1666] 
LOSS: 0.00078846, TIME: 22188.0s
STEP [63320], EPOCH [39/100], ITER [12/1666] 
LOSS: 0.00054525, TIME: 22204.2s
STEP [63340], EPOCH [39/100], ITER [32/1666] 
LOSS: 0.00119051, TIME: 22211.6s
STEP [63360], EPOCH [39/100], ITER [52/1666] 
LOSS: 0.00091024, TIME: 22218.9s
STEP [63380], EPOCH [39/100], ITER [72/1666] 
LOSS: 0.00062258, TIME: 22226.2s
STEP [63400], EPOCH [39/100], ITER [92/1666] 
LOSS: 0.00082508, TIME: 22233.6s
STEP [63420], EPOCH [39/100], ITER [112/1666] 
LOSS: 0.00049913, TIME: 22240.8s
STEP [63440], EPOCH [39/100], ITER [132/1666] 
LOSS: 0.00085630, TIME: 22248.1s
STEP [63460], EPOCH [39/100], ITER [152/1666] 
LOSS: 0.00054003, TIME: 22255.4s
STEP [63480], EPOCH [39/100], ITER [172/1666] 
LOSS: 0.00129943, TIME: 22262.7s
STEP [63500], EPOCH [39/100], ITER [192/1666] 
LOSS: 0.00079019, TIME: 22270.0s
STEP [63520], EPOCH [39/100], ITER [212/1666] 
LOSS: 0.00075194, TIME: 22277.3s
STEP [63540], EPOCH [39/100], ITER [232/1666] 
LOSS: 0.00084589, TIME: 22284.6s
STEP [63560], EPOCH [39/100], ITER [252/1666] 
LOSS: 0.00093843, TIME: 22291.9s
STEP [63580], EPOCH [39/100], ITER [272/1666] 
LOSS: 0.00112401, TIME: 22299.2s
STEP [63600], EPOCH [39/100], ITER [292/1666] 
LOSS: 0.00098323, TIME: 22306.6s
STEP [63620], EPOCH [39/100], ITER [312/1666] 
LOSS: 0.00093171, TIME: 22313.9s
STEP [63640], EPOCH [39/100], ITER [332/1666] 
LOSS: 0.00090010, TIME: 22321.2s
STEP [63660], EPOCH [39/100], ITER [352/1666] 
LOSS: 0.00072015, TIME: 22328.5s
STEP [63680], EPOCH [39/100], ITER [372/1666] 
LOSS: 0.00064433, TIME: 22335.8s
STEP [63700], EPOCH [39/100], ITER [392/1666] 
LOSS: 0.00078183, TIME: 22343.1s
STEP [63720], EPOCH [39/100], ITER [412/1666] 
LOSS: 0.00053208, TIME: 22350.4s
STEP [63740], EPOCH [39/100], ITER [432/1666] 
LOSS: 0.00072306, TIME: 22357.7s
STEP [63760], EPOCH [39/100], ITER [452/1666] 
LOSS: 0.00071839, TIME: 22365.0s
STEP [63780], EPOCH [39/100], ITER [472/1666] 
LOSS: 0.00094365, TIME: 22372.4s
STEP [63800], EPOCH [39/100], ITER [492/1666] 
LOSS: 0.00087764, TIME: 22379.7s
STEP [63820], EPOCH [39/100], ITER [512/1666] 
LOSS: 0.00072887, TIME: 22387.0s
STEP [63840], EPOCH [39/100], ITER [532/1666] 
LOSS: 0.00090726, TIME: 22394.3s
STEP [63860], EPOCH [39/100], ITER [552/1666] 
LOSS: 0.00063968, TIME: 22401.6s
STEP [63880], EPOCH [39/100], ITER [572/1666] 
LOSS: 0.00073760, TIME: 22408.9s
STEP [63900], EPOCH [39/100], ITER [592/1666] 
LOSS: 0.00083478, TIME: 22416.2s
STEP [63920], EPOCH [39/100], ITER [612/1666] 
LOSS: 0.00070509, TIME: 22423.5s
STEP [63940], EPOCH [39/100], ITER [632/1666] 
LOSS: 0.00114232, TIME: 22430.8s
STEP [63960], EPOCH [39/100], ITER [652/1666] 
LOSS: 0.00077906, TIME: 22438.1s
STEP [63980], EPOCH [39/100], ITER [672/1666] 
LOSS: 0.00083963, TIME: 22445.4s
STEP [64000], EPOCH [39/100], ITER [692/1666] 
LOSS: 0.00124438, TIME: 22452.7s
STEP [64020], EPOCH [39/100], ITER [712/1666] 
LOSS: 0.00092604, TIME: 22460.1s
STEP [64040], EPOCH [39/100], ITER [732/1666] 
LOSS: 0.00054269, TIME: 22467.4s
STEP [64060], EPOCH [39/100], ITER [752/1666] 
LOSS: 0.00061239, TIME: 22474.7s
STEP [64080], EPOCH [39/100], ITER [772/1666] 
LOSS: 0.00169629, TIME: 22481.9s
STEP [64100], EPOCH [39/100], ITER [792/1666] 
LOSS: 0.00085189, TIME: 22489.2s
STEP [64120], EPOCH [39/100], ITER [812/1666] 
LOSS: 0.00074355, TIME: 22496.5s
STEP [64140], EPOCH [39/100], ITER [832/1666] 
LOSS: 0.00080050, TIME: 22503.9s
STEP [64160], EPOCH [39/100], ITER [852/1666] 
LOSS: 0.00094033, TIME: 22511.2s
STEP [64180], EPOCH [39/100], ITER [872/1666] 
LOSS: 0.00090274, TIME: 22518.5s
STEP [64200], EPOCH [39/100], ITER [892/1666] 
LOSS: 0.00101268, TIME: 22525.8s
STEP [64220], EPOCH [39/100], ITER [912/1666] 
LOSS: 0.00117354, TIME: 22533.1s
STEP [64240], EPOCH [39/100], ITER [932/1666] 
LOSS: 0.00062789, TIME: 22540.4s
STEP [64260], EPOCH [39/100], ITER [952/1666] 
LOSS: 0.00081614, TIME: 22547.7s
STEP [64280], EPOCH [39/100], ITER [972/1666] 
LOSS: 0.00078383, TIME: 22555.0s
STEP [64300], EPOCH [39/100], ITER [992/1666] 
LOSS: 0.00102868, TIME: 22562.3s
STEP [64320], EPOCH [39/100], ITER [1012/1666] 
LOSS: 0.00065800, TIME: 22569.6s
STEP [64340], EPOCH [39/100], ITER [1032/1666] 
LOSS: 0.00079628, TIME: 22576.9s
STEP [64360], EPOCH [39/100], ITER [1052/1666] 
LOSS: 0.00152854, TIME: 22584.2s
STEP [64380], EPOCH [39/100], ITER [1072/1666] 
LOSS: 0.00078562, TIME: 22591.5s
STEP [64400], EPOCH [39/100], ITER [1092/1666] 
LOSS: 0.00090793, TIME: 22598.8s
STEP [64420], EPOCH [39/100], ITER [1112/1666] 
LOSS: 0.00075907, TIME: 22606.1s
STEP [64440], EPOCH [39/100], ITER [1132/1666] 
LOSS: 0.00096847, TIME: 22613.4s
STEP [64460], EPOCH [39/100], ITER [1152/1666] 
LOSS: 0.00096170, TIME: 22620.8s
STEP [64480], EPOCH [39/100], ITER [1172/1666] 
LOSS: 0.00080418, TIME: 22628.1s
STEP [64500], EPOCH [39/100], ITER [1192/1666] 
LOSS: 0.00055029, TIME: 22635.4s
STEP [64520], EPOCH [39/100], ITER [1212/1666] 
LOSS: 0.00084230, TIME: 22642.6s
STEP [64540], EPOCH [39/100], ITER [1232/1666] 
LOSS: 0.00069779, TIME: 22650.0s
STEP [64560], EPOCH [39/100], ITER [1252/1666] 
LOSS: 0.00055354, TIME: 22657.3s
STEP [64580], EPOCH [39/100], ITER [1272/1666] 
LOSS: 0.00087617, TIME: 22664.6s
STEP [64600], EPOCH [39/100], ITER [1292/1666] 
LOSS: 0.00056038, TIME: 22671.9s
STEP [64620], EPOCH [39/100], ITER [1312/1666] 
LOSS: 0.00088174, TIME: 22679.2s
STEP [64640], EPOCH [39/100], ITER [1332/1666] 
LOSS: 0.00095593, TIME: 22686.6s
STEP [64660], EPOCH [39/100], ITER [1352/1666] 
LOSS: 0.00074439, TIME: 22693.9s
STEP [64680], EPOCH [39/100], ITER [1372/1666] 
LOSS: 0.00088609, TIME: 22701.3s
STEP [64700], EPOCH [39/100], ITER [1392/1666] 
LOSS: 0.00058266, TIME: 22708.6s
STEP [64720], EPOCH [39/100], ITER [1412/1666] 
LOSS: 0.00142996, TIME: 22715.9s
STEP [64740], EPOCH [39/100], ITER [1432/1666] 
LOSS: 0.00116625, TIME: 22723.1s
STEP [64760], EPOCH [39/100], ITER [1452/1666] 
LOSS: 0.00078493, TIME: 22730.5s
STEP [64780], EPOCH [39/100], ITER [1472/1666] 
LOSS: 0.00074477, TIME: 22737.8s
STEP [64800], EPOCH [39/100], ITER [1492/1666] 
LOSS: 0.00103256, TIME: 22745.1s
STEP [64820], EPOCH [39/100], ITER [1512/1666] 
LOSS: 0.00100700, TIME: 22752.4s
STEP [64840], EPOCH [39/100], ITER [1532/1666] 
LOSS: 0.00058356, TIME: 22759.7s
STEP [64860], EPOCH [39/100], ITER [1552/1666] 
LOSS: 0.00086584, TIME: 22767.0s
STEP [64880], EPOCH [39/100], ITER [1572/1666] 
LOSS: 0.00075272, TIME: 22774.3s
STEP [64900], EPOCH [39/100], ITER [1592/1666] 
LOSS: 0.00157128, TIME: 22781.7s
STEP [64920], EPOCH [39/100], ITER [1612/1666] 
LOSS: 0.00059677, TIME: 22789.0s
STEP [64940], EPOCH [39/100], ITER [1632/1666] 
LOSS: 0.00109517, TIME: 22796.3s
STEP [64960], EPOCH [39/100], ITER [1652/1666] 
LOSS: 0.00071809, TIME: 22803.6s
STEP [64980], EPOCH [40/100], ITER [6/1666] 
LOSS: 0.00094908, TIME: 22819.9s
STEP [65000], EPOCH [40/100], ITER [26/1666] 
LOSS: 0.00057923, TIME: 22827.3s
STEP [65020], EPOCH [40/100], ITER [46/1666] 
LOSS: 0.00089017, TIME: 22834.7s
STEP [65040], EPOCH [40/100], ITER [66/1666] 
LOSS: 0.00075720, TIME: 22842.0s
STEP [65060], EPOCH [40/100], ITER [86/1666] 
LOSS: 0.00071433, TIME: 22849.3s
STEP [65080], EPOCH [40/100], ITER [106/1666] 
LOSS: 0.00058822, TIME: 22856.6s
STEP [65100], EPOCH [40/100], ITER [126/1666] 
LOSS: 0.00064497, TIME: 22863.9s
STEP [65120], EPOCH [40/100], ITER [146/1666] 
LOSS: 0.00077745, TIME: 22871.2s
STEP [65140], EPOCH [40/100], ITER [166/1666] 
LOSS: 0.00064718, TIME: 22878.6s
STEP [65160], EPOCH [40/100], ITER [186/1666] 
LOSS: 0.00097247, TIME: 22885.9s
STEP [65180], EPOCH [40/100], ITER [206/1666] 
LOSS: 0.00085287, TIME: 22893.2s
STEP [65200], EPOCH [40/100], ITER [226/1666] 
LOSS: 0.00112967, TIME: 22900.5s
STEP [65220], EPOCH [40/100], ITER [246/1666] 
LOSS: 0.00087262, TIME: 22907.8s
STEP [65240], EPOCH [40/100], ITER [266/1666] 
LOSS: 0.00060769, TIME: 22915.2s
STEP [65260], EPOCH [40/100], ITER [286/1666] 
LOSS: 0.00073315, TIME: 22922.5s
STEP [65280], EPOCH [40/100], ITER [306/1666] 
LOSS: 0.00082812, TIME: 22929.8s
STEP [65300], EPOCH [40/100], ITER [326/1666] 
LOSS: 0.00116045, TIME: 22937.1s
STEP [65320], EPOCH [40/100], ITER [346/1666] 
LOSS: 0.00081274, TIME: 22944.4s
STEP [65340], EPOCH [40/100], ITER [366/1666] 
LOSS: 0.00095003, TIME: 22951.7s
STEP [65360], EPOCH [40/100], ITER [386/1666] 
LOSS: 0.00068767, TIME: 22959.1s
STEP [65380], EPOCH [40/100], ITER [406/1666] 
LOSS: 0.00082015, TIME: 22966.4s
STEP [65400], EPOCH [40/100], ITER [426/1666] 
LOSS: 0.00080892, TIME: 22973.7s
STEP [65420], EPOCH [40/100], ITER [446/1666] 
LOSS: 0.00168416, TIME: 22981.0s
STEP [65440], EPOCH [40/100], ITER [466/1666] 
LOSS: 0.00050013, TIME: 22988.3s
STEP [65460], EPOCH [40/100], ITER [486/1666] 
LOSS: 0.00073127, TIME: 22995.7s
STEP [65480], EPOCH [40/100], ITER [506/1666] 
LOSS: 0.00061836, TIME: 23003.0s
STEP [65500], EPOCH [40/100], ITER [526/1666] 
LOSS: 0.00063799, TIME: 23010.3s
STEP [65520], EPOCH [40/100], ITER [546/1666] 
LOSS: 0.00105089, TIME: 23017.6s
STEP [65540], EPOCH [40/100], ITER [566/1666] 
LOSS: 0.00091216, TIME: 23022.6s
STEP [65560], EPOCH [40/100], ITER [586/1666] 
LOSS: 0.00047396, TIME: 23027.7s
STEP [65580], EPOCH [40/100], ITER [606/1666] 
LOSS: 0.00076564, TIME: 23035.0s
STEP [65600], EPOCH [40/100], ITER [626/1666] 
LOSS: 0.00090073, TIME: 23042.3s
STEP [65620], EPOCH [40/100], ITER [646/1666] 
LOSS: 0.00083250, TIME: 23049.7s
STEP [65640], EPOCH [40/100], ITER [666/1666] 
LOSS: 0.00077569, TIME: 23057.0s
STEP [65660], EPOCH [40/100], ITER [686/1666] 
LOSS: 0.00071933, TIME: 23064.3s
STEP [65680], EPOCH [40/100], ITER [706/1666] 
LOSS: 0.00115454, TIME: 23071.6s
STEP [65700], EPOCH [40/100], ITER [726/1666] 
LOSS: 0.00114407, TIME: 23079.0s
STEP [65720], EPOCH [40/100], ITER [746/1666] 
LOSS: 0.00108882, TIME: 23086.3s
STEP [65740], EPOCH [40/100], ITER [766/1666] 
LOSS: 0.00111938, TIME: 23093.6s
STEP [65760], EPOCH [40/100], ITER [786/1666] 
LOSS: 0.00083674, TIME: 23100.9s
STEP [65780], EPOCH [40/100], ITER [806/1666] 
LOSS: 0.00096761, TIME: 23108.3s
STEP [65800], EPOCH [40/100], ITER [826/1666] 
LOSS: 0.00053342, TIME: 23115.6s
STEP [65820], EPOCH [40/100], ITER [846/1666] 
LOSS: 0.00080311, TIME: 23122.9s
STEP [65840], EPOCH [40/100], ITER [866/1666] 
LOSS: 0.00074214, TIME: 23130.2s
STEP [65860], EPOCH [40/100], ITER [886/1666] 
LOSS: 0.00093869, TIME: 23137.6s
STEP [65880], EPOCH [40/100], ITER [906/1666] 
LOSS: 0.00075191, TIME: 23144.9s
STEP [65900], EPOCH [40/100], ITER [926/1666] 
LOSS: 0.00100341, TIME: 23152.2s
STEP [65920], EPOCH [40/100], ITER [946/1666] 
LOSS: 0.00073451, TIME: 23159.5s
STEP [65940], EPOCH [40/100], ITER [966/1666] 
LOSS: 0.00087307, TIME: 23166.9s
STEP [65960], EPOCH [40/100], ITER [986/1666] 
LOSS: 0.00044768, TIME: 23174.2s
STEP [65980], EPOCH [40/100], ITER [1006/1666] 
LOSS: 0.00103045, TIME: 23181.5s
STEP [66000], EPOCH [40/100], ITER [1026/1666] 
LOSS: 0.00082843, TIME: 23188.8s
STEP [66020], EPOCH [40/100], ITER [1046/1666] 
LOSS: 0.00046324, TIME: 23196.1s
STEP [66040], EPOCH [40/100], ITER [1066/1666] 
LOSS: 0.00100569, TIME: 23203.5s
STEP [66060], EPOCH [40/100], ITER [1086/1666] 
LOSS: 0.00075102, TIME: 23210.7s
STEP [66080], EPOCH [40/100], ITER [1106/1666] 
LOSS: 0.00061386, TIME: 23218.1s
STEP [66100], EPOCH [40/100], ITER [1126/1666] 
LOSS: 0.00107508, TIME: 23225.4s
STEP [66120], EPOCH [40/100], ITER [1146/1666] 
LOSS: 0.00072888, TIME: 23232.7s
STEP [66140], EPOCH [40/100], ITER [1166/1666] 
LOSS: 0.00057843, TIME: 23240.0s
STEP [66160], EPOCH [40/100], ITER [1186/1666] 
LOSS: 0.00089951, TIME: 23247.3s
STEP [66180], EPOCH [40/100], ITER [1206/1666] 
LOSS: 0.00080407, TIME: 23254.6s
STEP [66200], EPOCH [40/100], ITER [1226/1666] 
LOSS: 0.00107785, TIME: 23262.0s
STEP [66220], EPOCH [40/100], ITER [1246/1666] 
LOSS: 0.00071742, TIME: 23269.2s
STEP [66240], EPOCH [40/100], ITER [1266/1666] 
LOSS: 0.00063339, TIME: 23276.6s
STEP [66260], EPOCH [40/100], ITER [1286/1666] 
LOSS: 0.00071695, TIME: 23283.9s
STEP [66280], EPOCH [40/100], ITER [1306/1666] 
LOSS: 0.00061998, TIME: 23291.2s
STEP [66300], EPOCH [40/100], ITER [1326/1666] 
LOSS: 0.00238400, TIME: 23298.5s
STEP [66320], EPOCH [40/100], ITER [1346/1666] 
LOSS: 0.00085988, TIME: 23305.8s
STEP [66340], EPOCH [40/100], ITER [1366/1666] 
LOSS: 0.00068736, TIME: 23313.1s
STEP [66360], EPOCH [40/100], ITER [1386/1666] 
LOSS: 0.00064626, TIME: 23320.4s
STEP [66380], EPOCH [40/100], ITER [1406/1666] 
LOSS: 0.00090151, TIME: 23327.7s
STEP [66400], EPOCH [40/100], ITER [1426/1666] 
LOSS: 0.00080278, TIME: 23335.0s
STEP [66420], EPOCH [40/100], ITER [1446/1666] 
LOSS: 0.00114894, TIME: 23342.3s
STEP [66440], EPOCH [40/100], ITER [1466/1666] 
LOSS: 0.00048432, TIME: 23349.6s
STEP [66460], EPOCH [40/100], ITER [1486/1666] 
LOSS: 0.00058707, TIME: 23356.9s
STEP [66480], EPOCH [40/100], ITER [1506/1666] 
LOSS: 0.00062822, TIME: 23364.2s
STEP [66500], EPOCH [40/100], ITER [1526/1666] 
LOSS: 0.00080854, TIME: 23371.5s
STEP [66520], EPOCH [40/100], ITER [1546/1666] 
LOSS: 0.00136113, TIME: 23378.8s
STEP [66540], EPOCH [40/100], ITER [1566/1666] 
LOSS: 0.00070295, TIME: 23386.2s
STEP [66560], EPOCH [40/100], ITER [1586/1666] 
LOSS: 0.00068615, TIME: 23393.5s
STEP [66580], EPOCH [40/100], ITER [1606/1666] 
LOSS: 0.00059613, TIME: 23400.8s
STEP [66600], EPOCH [40/100], ITER [1626/1666] 
LOSS: 0.00063698, TIME: 23408.1s
STEP [66620], EPOCH [40/100], ITER [1646/1666] 
LOSS: 0.00050363, TIME: 23415.4s
STEP [66640], EPOCH [40/100], ITER [1666/1666] 
LOSS: 0.00083222, TIME: 23422.5s
STEP [66660], EPOCH [41/100], ITER [20/1666] 
LOSS: 0.00088014, TIME: 23438.9s
STEP [66680], EPOCH [41/100], ITER [40/1666] 
LOSS: 0.00064723, TIME: 23446.2s
STEP [66700], EPOCH [41/100], ITER [60/1666] 
LOSS: 0.00079535, TIME: 23453.5s
STEP [66720], EPOCH [41/100], ITER [80/1666] 
LOSS: 0.00085655, TIME: 23460.8s
STEP [66740], EPOCH [41/100], ITER [100/1666] 
LOSS: 0.00089816, TIME: 23468.1s
STEP [66760], EPOCH [41/100], ITER [120/1666] 
LOSS: 0.00056178, TIME: 23475.4s
STEP [66780], EPOCH [41/100], ITER [140/1666] 
LOSS: 0.00097955, TIME: 23482.7s
STEP [66800], EPOCH [41/100], ITER [160/1666] 
LOSS: 0.00042951, TIME: 23490.0s
STEP [66820], EPOCH [41/100], ITER [180/1666] 
LOSS: 0.00095310, TIME: 23497.2s
STEP [66840], EPOCH [41/100], ITER [200/1666] 
LOSS: 0.00097398, TIME: 23504.5s
STEP [66860], EPOCH [41/100], ITER [220/1666] 
LOSS: 0.00066469, TIME: 23511.8s
STEP [66880], EPOCH [41/100], ITER [240/1666] 
LOSS: 0.00067855, TIME: 23519.2s
STEP [66900], EPOCH [41/100], ITER [260/1666] 
LOSS: 0.00065752, TIME: 23526.5s
STEP [66920], EPOCH [41/100], ITER [280/1666] 
LOSS: 0.00099827, TIME: 23533.8s
STEP [66940], EPOCH [41/100], ITER [300/1666] 
LOSS: 0.00065024, TIME: 23541.1s
STEP [66960], EPOCH [41/100], ITER [320/1666] 
LOSS: 0.00075542, TIME: 23548.4s
STEP [66980], EPOCH [41/100], ITER [340/1666] 
LOSS: 0.00096018, TIME: 23555.8s
STEP [67000], EPOCH [41/100], ITER [360/1666] 
LOSS: 0.00071722, TIME: 23563.1s
STEP [67020], EPOCH [41/100], ITER [380/1666] 
LOSS: 0.00087765, TIME: 23570.3s
STEP [67040], EPOCH [41/100], ITER [400/1666] 
LOSS: 0.00056118, TIME: 23577.6s
STEP [67060], EPOCH [41/100], ITER [420/1666] 
LOSS: 0.00082156, TIME: 23585.0s
STEP [67080], EPOCH [41/100], ITER [440/1666] 
LOSS: 0.00043111, TIME: 23592.3s
STEP [67100], EPOCH [41/100], ITER [460/1666] 
LOSS: 0.00079159, TIME: 23599.6s
STEP [67120], EPOCH [41/100], ITER [480/1666] 
LOSS: 0.00105703, TIME: 23606.9s
STEP [67140], EPOCH [41/100], ITER [500/1666] 
LOSS: 0.00104099, TIME: 23614.2s
STEP [67160], EPOCH [41/100], ITER [520/1666] 
LOSS: 0.00083550, TIME: 23621.5s
STEP [67180], EPOCH [41/100], ITER [540/1666] 
LOSS: 0.00094013, TIME: 23628.8s
STEP [67200], EPOCH [41/100], ITER [560/1666] 
LOSS: 0.00057857, TIME: 23636.2s
STEP [67220], EPOCH [41/100], ITER [580/1666] 
LOSS: 0.00104087, TIME: 23643.5s
STEP [67240], EPOCH [41/100], ITER [600/1666] 
LOSS: 0.00048733, TIME: 23650.7s
STEP [67260], EPOCH [41/100], ITER [620/1666] 
LOSS: 0.00128019, TIME: 23658.0s
STEP [67280], EPOCH [41/100], ITER [640/1666] 
LOSS: 0.00071729, TIME: 23665.3s
STEP [67300], EPOCH [41/100], ITER [660/1666] 
LOSS: 0.00062190, TIME: 23672.6s
STEP [67320], EPOCH [41/100], ITER [680/1666] 
LOSS: 0.00069704, TIME: 23680.0s
STEP [67340], EPOCH [41/100], ITER [700/1666] 
LOSS: 0.00076165, TIME: 23687.3s
STEP [67360], EPOCH [41/100], ITER [720/1666] 
LOSS: 0.00074788, TIME: 23694.6s
STEP [67380], EPOCH [41/100], ITER [740/1666] 
LOSS: 0.00060741, TIME: 23701.9s
STEP [67400], EPOCH [41/100], ITER [760/1666] 
LOSS: 0.00141938, TIME: 23709.2s
STEP [67420], EPOCH [41/100], ITER [780/1666] 
LOSS: 0.00089704, TIME: 23716.5s
STEP [67440], EPOCH [41/100], ITER [800/1666] 
LOSS: 0.00164723, TIME: 23723.9s
STEP [67460], EPOCH [41/100], ITER [820/1666] 
LOSS: 0.00062461, TIME: 23731.1s
STEP [67480], EPOCH [41/100], ITER [840/1666] 
LOSS: 0.00100557, TIME: 23738.4s
STEP [67500], EPOCH [41/100], ITER [860/1666] 
LOSS: 0.00076260, TIME: 23745.8s
STEP [67520], EPOCH [41/100], ITER [880/1666] 
LOSS: 0.00101843, TIME: 23753.1s
STEP [67540], EPOCH [41/100], ITER [900/1666] 
LOSS: 0.00066455, TIME: 23760.4s
STEP [67560], EPOCH [41/100], ITER [920/1666] 
LOSS: 0.00088681, TIME: 23767.7s
STEP [67580], EPOCH [41/100], ITER [940/1666] 
LOSS: 0.00079125, TIME: 23775.0s
STEP [67600], EPOCH [41/100], ITER [960/1666] 
LOSS: 0.00046501, TIME: 23782.3s
STEP [67620], EPOCH [41/100], ITER [980/1666] 
LOSS: 0.00083750, TIME: 23789.7s
STEP [67640], EPOCH [41/100], ITER [1000/1666] 
LOSS: 0.00061848, TIME: 23797.0s
STEP [67660], EPOCH [41/100], ITER [1020/1666] 
LOSS: 0.00074171, TIME: 23804.3s
STEP [67680], EPOCH [41/100], ITER [1040/1666] 
LOSS: 0.00077381, TIME: 23811.6s
STEP [67700], EPOCH [41/100], ITER [1060/1666] 
LOSS: 0.00081195, TIME: 23818.9s
STEP [67720], EPOCH [41/100], ITER [1080/1666] 
LOSS: 0.00077226, TIME: 23826.2s
STEP [67740], EPOCH [41/100], ITER [1100/1666] 
LOSS: 0.00070775, TIME: 23833.5s
STEP [67760], EPOCH [41/100], ITER [1120/1666] 
LOSS: 0.00109918, TIME: 23840.8s
STEP [67780], EPOCH [41/100], ITER [1140/1666] 
LOSS: 0.00104501, TIME: 23848.2s
STEP [67800], EPOCH [41/100], ITER [1160/1666] 
LOSS: 0.00078957, TIME: 23855.5s
STEP [67820], EPOCH [41/100], ITER [1180/1666] 
LOSS: 0.00078330, TIME: 23862.8s
STEP [67840], EPOCH [41/100], ITER [1200/1666] 
LOSS: 0.00069280, TIME: 23870.1s
STEP [67860], EPOCH [41/100], ITER [1220/1666] 
LOSS: 0.00064202, TIME: 23877.4s
STEP [67880], EPOCH [41/100], ITER [1240/1666] 
LOSS: 0.00121176, TIME: 23884.7s
STEP [67900], EPOCH [41/100], ITER [1260/1666] 
LOSS: 0.00080646, TIME: 23892.0s
STEP [67920], EPOCH [41/100], ITER [1280/1666] 
LOSS: 0.00076892, TIME: 23899.4s
STEP [67940], EPOCH [41/100], ITER [1300/1666] 
LOSS: 0.00058506, TIME: 23906.7s
STEP [67960], EPOCH [41/100], ITER [1320/1666] 
LOSS: 0.00080594, TIME: 23914.0s
STEP [67980], EPOCH [41/100], ITER [1340/1666] 
LOSS: 0.00108127, TIME: 23921.3s
STEP [68000], EPOCH [41/100], ITER [1360/1666] 
LOSS: 0.00116771, TIME: 23928.6s
STEP [68020], EPOCH [41/100], ITER [1380/1666] 
LOSS: 0.00074578, TIME: 23936.0s
STEP [68040], EPOCH [41/100], ITER [1400/1666] 
LOSS: 0.00077540, TIME: 23943.3s
STEP [68060], EPOCH [41/100], ITER [1420/1666] 
LOSS: 0.00079065, TIME: 23950.6s
STEP [68080], EPOCH [41/100], ITER [1440/1666] 
LOSS: 0.00058757, TIME: 23957.9s
STEP [68100], EPOCH [41/100], ITER [1460/1666] 
LOSS: 0.00059564, TIME: 23965.2s
STEP [68120], EPOCH [41/100], ITER [1480/1666] 
LOSS: 0.00068629, TIME: 23972.5s
STEP [68140], EPOCH [41/100], ITER [1500/1666] 
LOSS: 0.00106478, TIME: 23979.8s
STEP [68160], EPOCH [41/100], ITER [1520/1666] 
LOSS: 0.00101871, TIME: 23987.2s
STEP [68180], EPOCH [41/100], ITER [1540/1666] 
LOSS: 0.00067604, TIME: 23994.5s
STEP [68200], EPOCH [41/100], ITER [1560/1666] 
LOSS: 0.00092499, TIME: 24001.8s
STEP [68220], EPOCH [41/100], ITER [1580/1666] 
LOSS: 0.00087425, TIME: 24009.1s
STEP [68240], EPOCH [41/100], ITER [1600/1666] 
LOSS: 0.00096178, TIME: 24016.5s
STEP [68260], EPOCH [41/100], ITER [1620/1666] 
LOSS: 0.00058460, TIME: 24023.8s
STEP [68280], EPOCH [41/100], ITER [1640/1666] 
LOSS: 0.00134954, TIME: 24031.1s
STEP [68300], EPOCH [41/100], ITER [1660/1666] 
LOSS: 0.00080404, TIME: 24038.4s
STEP [68320], EPOCH [42/100], ITER [14/1666] 
LOSS: 0.00058436, TIME: 24054.5s
STEP [68340], EPOCH [42/100], ITER [34/1666] 
LOSS: 0.00120916, TIME: 24061.8s
STEP [68360], EPOCH [42/100], ITER [54/1666] 
LOSS: 0.00083043, TIME: 24069.1s
STEP [68380], EPOCH [42/100], ITER [74/1666] 
LOSS: 0.00079204, TIME: 24076.4s
STEP [68400], EPOCH [42/100], ITER [94/1666] 
LOSS: 0.00141928, TIME: 24083.7s
STEP [68420], EPOCH [42/100], ITER [114/1666] 
LOSS: 0.00150720, TIME: 24091.0s
STEP [68440], EPOCH [42/100], ITER [134/1666] 
LOSS: 0.00075591, TIME: 24098.3s
STEP [68460], EPOCH [42/100], ITER [154/1666] 
LOSS: 0.00087810, TIME: 24105.7s
STEP [68480], EPOCH [42/100], ITER [174/1666] 
LOSS: 0.00085132, TIME: 24112.9s
STEP [68500], EPOCH [42/100], ITER [194/1666] 
LOSS: 0.00036446, TIME: 24120.2s
STEP [68520], EPOCH [42/100], ITER [214/1666] 
LOSS: 0.00096400, TIME: 24127.5s
STEP [68540], EPOCH [42/100], ITER [234/1666] 
LOSS: 0.00062343, TIME: 24134.8s
STEP [68560], EPOCH [42/100], ITER [254/1666] 
LOSS: 0.00083071, TIME: 24142.1s
STEP [68580], EPOCH [42/100], ITER [274/1666] 
LOSS: 0.00076054, TIME: 24149.4s
STEP [68600], EPOCH [42/100], ITER [294/1666] 
LOSS: 0.00070858, TIME: 24156.7s
STEP [68620], EPOCH [42/100], ITER [314/1666] 
LOSS: 0.00051011, TIME: 24164.0s
STEP [68640], EPOCH [42/100], ITER [334/1666] 
LOSS: 0.00098091, TIME: 24171.4s
STEP [68660], EPOCH [42/100], ITER [354/1666] 
LOSS: 0.00073995, TIME: 24178.7s
STEP [68680], EPOCH [42/100], ITER [374/1666] 
LOSS: 0.00048178, TIME: 24186.0s
STEP [68700], EPOCH [42/100], ITER [394/1666] 
LOSS: 0.00105952, TIME: 24193.2s
STEP [68720], EPOCH [42/100], ITER [414/1666] 
LOSS: 0.00099911, TIME: 24200.6s
STEP [68740], EPOCH [42/100], ITER [434/1666] 
LOSS: 0.00084688, TIME: 24207.8s
STEP [68760], EPOCH [42/100], ITER [454/1666] 
LOSS: 0.00057869, TIME: 24214.5s
STEP [68780], EPOCH [42/100], ITER [474/1666] 
LOSS: 0.00055969, TIME: 24218.0s
STEP [68800], EPOCH [42/100], ITER [494/1666] 
LOSS: 0.00088528, TIME: 24221.6s
STEP [68820], EPOCH [42/100], ITER [514/1666] 
LOSS: 0.00064498, TIME: 24225.6s
STEP [68840], EPOCH [42/100], ITER [534/1666] 
LOSS: 0.00120171, TIME: 24231.4s
STEP [68860], EPOCH [42/100], ITER [554/1666] 
LOSS: 0.00113085, TIME: 24238.7s
STEP [68880], EPOCH [42/100], ITER [574/1666] 
LOSS: 0.00072534, TIME: 24246.0s
STEP [68900], EPOCH [42/100], ITER [594/1666] 
LOSS: 0.00042699, TIME: 24253.3s
STEP [68920], EPOCH [42/100], ITER [614/1666] 
LOSS: 0.00099164, TIME: 24260.6s
STEP [68940], EPOCH [42/100], ITER [634/1666] 
LOSS: 0.00076107, TIME: 24267.9s
STEP [68960], EPOCH [42/100], ITER [654/1666] 
LOSS: 0.00039068, TIME: 24275.2s
STEP [68980], EPOCH [42/100], ITER [674/1666] 
LOSS: 0.00106428, TIME: 24282.6s
STEP [69000], EPOCH [42/100], ITER [694/1666] 
LOSS: 0.00077020, TIME: 24289.9s
STEP [69020], EPOCH [42/100], ITER [714/1666] 
LOSS: 0.00093221, TIME: 24297.2s
STEP [69040], EPOCH [42/100], ITER [734/1666] 
LOSS: 0.00097525, TIME: 24304.5s
STEP [69060], EPOCH [42/100], ITER [754/1666] 
LOSS: 0.00088932, TIME: 24311.9s
STEP [69080], EPOCH [42/100], ITER [774/1666] 
LOSS: 0.00058963, TIME: 24319.2s
STEP [69100], EPOCH [42/100], ITER [794/1666] 
LOSS: 0.00109729, TIME: 24326.5s
STEP [69120], EPOCH [42/100], ITER [814/1666] 
LOSS: 0.00071343, TIME: 24333.8s
STEP [69140], EPOCH [42/100], ITER [834/1666] 
LOSS: 0.00089043, TIME: 24341.1s
STEP [69160], EPOCH [42/100], ITER [854/1666] 
LOSS: 0.00054954, TIME: 24348.4s
STEP [69180], EPOCH [42/100], ITER [874/1666] 
LOSS: 0.00050470, TIME: 24355.7s
STEP [69200], EPOCH [42/100], ITER [894/1666] 
LOSS: 0.00068412, TIME: 24363.0s
STEP [69220], EPOCH [42/100], ITER [914/1666] 
LOSS: 0.00076990, TIME: 24370.3s
STEP [69240], EPOCH [42/100], ITER [934/1666] 
LOSS: 0.00081568, TIME: 24377.6s
STEP [69260], EPOCH [42/100], ITER [954/1666] 
LOSS: 0.00082272, TIME: 24384.9s
STEP [69280], EPOCH [42/100], ITER [974/1666] 
LOSS: 0.00164958, TIME: 24392.2s
STEP [69300], EPOCH [42/100], ITER [994/1666] 
LOSS: 0.00093465, TIME: 24399.5s
STEP [69320], EPOCH [42/100], ITER [1014/1666] 
LOSS: 0.00160766, TIME: 24406.8s
STEP [69340], EPOCH [42/100], ITER [1034/1666] 
LOSS: 0.00069462, TIME: 24414.1s
STEP [69360], EPOCH [42/100], ITER [1054/1666] 
LOSS: 0.00088624, TIME: 24421.5s
STEP [69380], EPOCH [42/100], ITER [1074/1666] 
LOSS: 0.00212855, TIME: 24428.8s
STEP [69400], EPOCH [42/100], ITER [1094/1666] 
LOSS: 0.00062071, TIME: 24436.1s
STEP [69420], EPOCH [42/100], ITER [1114/1666] 
LOSS: 0.00065302, TIME: 24443.4s
STEP [69440], EPOCH [42/100], ITER [1134/1666] 
LOSS: 0.00079826, TIME: 24450.7s
STEP [69460], EPOCH [42/100], ITER [1154/1666] 
LOSS: 0.00094117, TIME: 24458.0s
STEP [69480], EPOCH [42/100], ITER [1174/1666] 
LOSS: 0.00080003, TIME: 24465.3s
STEP [69500], EPOCH [42/100], ITER [1194/1666] 
LOSS: 0.00066631, TIME: 24472.6s
STEP [69520], EPOCH [42/100], ITER [1214/1666] 
LOSS: 0.00094308, TIME: 24479.9s
STEP [69540], EPOCH [42/100], ITER [1234/1666] 
LOSS: 0.00064341, TIME: 24487.2s
STEP [69560], EPOCH [42/100], ITER [1254/1666] 
LOSS: 0.00076327, TIME: 24494.5s
STEP [69580], EPOCH [42/100], ITER [1274/1666] 
LOSS: 0.00080296, TIME: 24501.8s
STEP [69600], EPOCH [42/100], ITER [1294/1666] 
LOSS: 0.00064739, TIME: 24509.1s
STEP [69620], EPOCH [42/100], ITER [1314/1666] 
LOSS: 0.00079984, TIME: 24516.5s
STEP [69640], EPOCH [42/100], ITER [1334/1666] 
LOSS: 0.00080347, TIME: 24523.8s
STEP [69660], EPOCH [42/100], ITER [1354/1666] 
LOSS: 0.00091729, TIME: 24531.1s
STEP [69680], EPOCH [42/100], ITER [1374/1666] 
LOSS: 0.00086662, TIME: 24538.4s
STEP [69700], EPOCH [42/100], ITER [1394/1666] 
LOSS: 0.00120242, TIME: 24545.6s
STEP [69720], EPOCH [42/100], ITER [1414/1666] 
LOSS: 0.00081001, TIME: 24553.0s
STEP [69740], EPOCH [42/100], ITER [1434/1666] 
LOSS: 0.00100410, TIME: 24560.3s
STEP [69760], EPOCH [42/100], ITER [1454/1666] 
LOSS: 0.00115852, TIME: 24567.6s
STEP [69780], EPOCH [42/100], ITER [1474/1666] 
LOSS: 0.00095091, TIME: 24574.9s
STEP [69800], EPOCH [42/100], ITER [1494/1666] 
LOSS: 0.00072727, TIME: 24582.2s
STEP [69820], EPOCH [42/100], ITER [1514/1666] 
LOSS: 0.00089680, TIME: 24589.5s
STEP [69840], EPOCH [42/100], ITER [1534/1666] 
LOSS: 0.00077494, TIME: 24596.8s
STEP [69860], EPOCH [42/100], ITER [1554/1666] 
LOSS: 0.00126594, TIME: 24604.1s
STEP [69880], EPOCH [42/100], ITER [1574/1666] 
LOSS: 0.00079179, TIME: 24611.5s
STEP [69900], EPOCH [42/100], ITER [1594/1666] 
LOSS: 0.00096393, TIME: 24618.8s
STEP [69920], EPOCH [42/100], ITER [1614/1666] 
LOSS: 0.00075596, TIME: 24626.0s
STEP [69940], EPOCH [42/100], ITER [1634/1666] 
LOSS: 0.00082503, TIME: 24633.3s
STEP [69960], EPOCH [42/100], ITER [1654/1666] 
LOSS: 0.00095609, TIME: 24640.6s
STEP [69980], EPOCH [43/100], ITER [8/1666] 
LOSS: 0.00095874, TIME: 24656.8s
STEP [70000], EPOCH [43/100], ITER [28/1666] 
LOSS: 0.00103435, TIME: 24664.1s
STEP [70020], EPOCH [43/100], ITER [48/1666] 
LOSS: 0.00062312, TIME: 24671.5s
STEP [70040], EPOCH [43/100], ITER [68/1666] 
LOSS: 0.00089471, TIME: 24678.8s
STEP [70060], EPOCH [43/100], ITER [88/1666] 
LOSS: 0.00140461, TIME: 24686.1s
STEP [70080], EPOCH [43/100], ITER [108/1666] 
LOSS: 0.00077942, TIME: 24693.3s
STEP [70100], EPOCH [43/100], ITER [128/1666] 
LOSS: 0.00081862, TIME: 24700.6s
STEP [70120], EPOCH [43/100], ITER [148/1666] 
LOSS: 0.00062038, TIME: 24707.9s
STEP [70140], EPOCH [43/100], ITER [168/1666] 
LOSS: 0.00046961, TIME: 24715.2s
STEP [70160], EPOCH [43/100], ITER [188/1666] 
LOSS: 0.00069900, TIME: 24722.5s
STEP [70180], EPOCH [43/100], ITER [208/1666] 
LOSS: 0.00080581, TIME: 24729.8s
STEP [70200], EPOCH [43/100], ITER [228/1666] 
LOSS: 0.00063010, TIME: 24737.2s
STEP [70220], EPOCH [43/100], ITER [248/1666] 
LOSS: 0.00066082, TIME: 24744.5s
STEP [70240], EPOCH [43/100], ITER [268/1666] 
LOSS: 0.00087438, TIME: 24751.8s
STEP [70260], EPOCH [43/100], ITER [288/1666] 
LOSS: 0.00068970, TIME: 24759.1s
STEP [70280], EPOCH [43/100], ITER [308/1666] 
LOSS: 0.00086250, TIME: 24766.5s
STEP [70300], EPOCH [43/100], ITER [328/1666] 
LOSS: 0.00072970, TIME: 24773.8s
STEP [70320], EPOCH [43/100], ITER [348/1666] 
LOSS: 0.00047445, TIME: 24781.1s
STEP [70340], EPOCH [43/100], ITER [368/1666] 
LOSS: 0.00096073, TIME: 24788.4s
STEP [70360], EPOCH [43/100], ITER [388/1666] 
LOSS: 0.00049652, TIME: 24795.7s
STEP [70380], EPOCH [43/100], ITER [408/1666] 
LOSS: 0.00087996, TIME: 24803.1s
STEP [70400], EPOCH [43/100], ITER [428/1666] 
LOSS: 0.00139510, TIME: 24810.4s
STEP [70420], EPOCH [43/100], ITER [448/1666] 
LOSS: 0.00076397, TIME: 24817.7s
STEP [70440], EPOCH [43/100], ITER [468/1666] 
LOSS: 0.00082564, TIME: 24825.1s
STEP [70460], EPOCH [43/100], ITER [488/1666] 
LOSS: 0.00075910, TIME: 24832.4s
STEP [70480], EPOCH [43/100], ITER [508/1666] 
LOSS: 0.00104129, TIME: 24839.7s
STEP [70500], EPOCH [43/100], ITER [528/1666] 
LOSS: 0.00094253, TIME: 24847.0s
STEP [70520], EPOCH [43/100], ITER [548/1666] 
LOSS: 0.00118200, TIME: 24854.3s
STEP [70540], EPOCH [43/100], ITER [568/1666] 
LOSS: 0.00050715, TIME: 24861.6s
STEP [70560], EPOCH [43/100], ITER [588/1666] 
LOSS: 0.00063382, TIME: 24868.9s
STEP [70580], EPOCH [43/100], ITER [608/1666] 
LOSS: 0.00047829, TIME: 24876.2s
STEP [70600], EPOCH [43/100], ITER [628/1666] 
LOSS: 0.00114441, TIME: 24883.5s
STEP [70620], EPOCH [43/100], ITER [648/1666] 
LOSS: 0.00090751, TIME: 24890.9s
STEP [70640], EPOCH [43/100], ITER [668/1666] 
LOSS: 0.00106212, TIME: 24898.2s
STEP [70660], EPOCH [43/100], ITER [688/1666] 
LOSS: 0.00097895, TIME: 24905.6s
STEP [70680], EPOCH [43/100], ITER [708/1666] 
LOSS: 0.00066706, TIME: 24912.9s
STEP [70700], EPOCH [43/100], ITER [728/1666] 
LOSS: 0.00088491, TIME: 24920.3s
STEP [70720], EPOCH [43/100], ITER [748/1666] 
LOSS: 0.00045021, TIME: 24927.6s
STEP [70740], EPOCH [43/100], ITER [768/1666] 
LOSS: 0.00097511, TIME: 24934.8s
STEP [70760], EPOCH [43/100], ITER [788/1666] 
LOSS: 0.00113073, TIME: 24942.2s
STEP [70780], EPOCH [43/100], ITER [808/1666] 
LOSS: 0.00063697, TIME: 24949.5s
STEP [70800], EPOCH [43/100], ITER [828/1666] 
LOSS: 0.00171142, TIME: 24956.8s
STEP [70820], EPOCH [43/100], ITER [848/1666] 
LOSS: 0.00059516, TIME: 24964.2s
STEP [70840], EPOCH [43/100], ITER [868/1666] 
LOSS: 0.00055822, TIME: 24971.5s
STEP [70860], EPOCH [43/100], ITER [888/1666] 
LOSS: 0.00080236, TIME: 24978.8s
STEP [70880], EPOCH [43/100], ITER [908/1666] 
LOSS: 0.00109844, TIME: 24986.1s
STEP [70900], EPOCH [43/100], ITER [928/1666] 
LOSS: 0.00092695, TIME: 24993.5s
STEP [70920], EPOCH [43/100], ITER [948/1666] 
LOSS: 0.00075052, TIME: 25000.8s
STEP [70940], EPOCH [43/100], ITER [968/1666] 
LOSS: 0.00090027, TIME: 25008.1s
STEP [70960], EPOCH [43/100], ITER [988/1666] 
LOSS: 0.00148389, TIME: 25015.4s
STEP [70980], EPOCH [43/100], ITER [1008/1666] 
LOSS: 0.00084819, TIME: 25022.7s
STEP [71000], EPOCH [43/100], ITER [1028/1666] 
LOSS: 0.00055925, TIME: 25030.0s
STEP [71020], EPOCH [43/100], ITER [1048/1666] 
LOSS: 0.00105026, TIME: 25037.4s
STEP [71040], EPOCH [43/100], ITER [1068/1666] 
LOSS: 0.00092443, TIME: 25044.7s
STEP [71060], EPOCH [43/100], ITER [1088/1666] 
LOSS: 0.00117062, TIME: 25052.0s
STEP [71080], EPOCH [43/100], ITER [1108/1666] 
LOSS: 0.00101737, TIME: 25059.3s
STEP [71100], EPOCH [43/100], ITER [1128/1666] 
LOSS: 0.00064809, TIME: 25066.7s
STEP [71120], EPOCH [43/100], ITER [1148/1666] 
LOSS: 0.00093422, TIME: 25074.0s
STEP [71140], EPOCH [43/100], ITER [1168/1666] 
LOSS: 0.00078839, TIME: 25081.4s
STEP [71160], EPOCH [43/100], ITER [1188/1666] 
LOSS: 0.00098241, TIME: 25088.6s
STEP [71180], EPOCH [43/100], ITER [1208/1666] 
LOSS: 0.00097012, TIME: 25096.0s
STEP [71200], EPOCH [43/100], ITER [1228/1666] 
LOSS: 0.00098014, TIME: 25103.3s
STEP [71220], EPOCH [43/100], ITER [1248/1666] 
LOSS: 0.00109877, TIME: 25110.6s
STEP [71240], EPOCH [43/100], ITER [1268/1666] 
LOSS: 0.00083185, TIME: 25118.0s
STEP [71260], EPOCH [43/100], ITER [1288/1666] 
LOSS: 0.00060617, TIME: 25125.3s
STEP [71280], EPOCH [43/100], ITER [1308/1666] 
LOSS: 0.00082254, TIME: 25132.6s
STEP [71300], EPOCH [43/100], ITER [1328/1666] 
LOSS: 0.00085079, TIME: 25139.9s
STEP [71320], EPOCH [43/100], ITER [1348/1666] 
LOSS: 0.00119516, TIME: 25147.2s
STEP [71340], EPOCH [43/100], ITER [1368/1666] 
LOSS: 0.00081289, TIME: 25154.5s
STEP [71360], EPOCH [43/100], ITER [1388/1666] 
LOSS: 0.00094258, TIME: 25161.9s
STEP [71380], EPOCH [43/100], ITER [1408/1666] 
LOSS: 0.00036299, TIME: 25169.1s
STEP [71400], EPOCH [43/100], ITER [1428/1666] 
LOSS: 0.00062202, TIME: 25176.4s
STEP [71420], EPOCH [43/100], ITER [1448/1666] 
LOSS: 0.00097760, TIME: 25183.7s
STEP [71440], EPOCH [43/100], ITER [1468/1666] 
LOSS: 0.00090925, TIME: 25191.0s
STEP [71460], EPOCH [43/100], ITER [1488/1666] 
LOSS: 0.00042481, TIME: 25198.3s
STEP [71480], EPOCH [43/100], ITER [1508/1666] 
LOSS: 0.00068567, TIME: 25205.7s
STEP [71500], EPOCH [43/100], ITER [1528/1666] 
LOSS: 0.00054820, TIME: 25213.0s
STEP [71520], EPOCH [43/100], ITER [1548/1666] 
LOSS: 0.00056702, TIME: 25220.3s
STEP [71540], EPOCH [43/100], ITER [1568/1666] 
LOSS: 0.00113013, TIME: 25227.7s
STEP [71560], EPOCH [43/100], ITER [1588/1666] 
LOSS: 0.00050838, TIME: 25235.0s
STEP [71580], EPOCH [43/100], ITER [1608/1666] 
LOSS: 0.00100659, TIME: 25242.3s
STEP [71600], EPOCH [43/100], ITER [1628/1666] 
LOSS: 0.00056329, TIME: 25249.6s
STEP [71620], EPOCH [43/100], ITER [1648/1666] 
LOSS: 0.00090482, TIME: 25256.9s
STEP [71640], EPOCH [44/100], ITER [2/1666] 
LOSS: 0.00053575, TIME: 25273.2s
STEP [71660], EPOCH [44/100], ITER [22/1666] 
LOSS: 0.00100559, TIME: 25280.5s
STEP [71680], EPOCH [44/100], ITER [42/1666] 
LOSS: 0.00102688, TIME: 25287.8s
STEP [71700], EPOCH [44/100], ITER [62/1666] 
LOSS: 0.00099904, TIME: 25295.1s
STEP [71720], EPOCH [44/100], ITER [82/1666] 
LOSS: 0.00065727, TIME: 25302.4s
STEP [71740], EPOCH [44/100], ITER [102/1666] 
LOSS: 0.00066755, TIME: 25309.7s
STEP [71760], EPOCH [44/100], ITER [122/1666] 
LOSS: 0.00095739, TIME: 25317.0s
STEP [71780], EPOCH [44/100], ITER [142/1666] 
LOSS: 0.00067918, TIME: 25324.3s
STEP [71800], EPOCH [44/100], ITER [162/1666] 
LOSS: 0.00069718, TIME: 25331.7s
STEP [71820], EPOCH [44/100], ITER [182/1666] 
LOSS: 0.00099248, TIME: 25339.0s
STEP [71840], EPOCH [44/100], ITER [202/1666] 
LOSS: 0.00058064, TIME: 25346.3s
STEP [71860], EPOCH [44/100], ITER [222/1666] 
LOSS: 0.00119157, TIME: 25353.6s
STEP [71880], EPOCH [44/100], ITER [242/1666] 
LOSS: 0.00090747, TIME: 25361.0s
STEP [71900], EPOCH [44/100], ITER [262/1666] 
LOSS: 0.00114092, TIME: 25368.3s
STEP [71920], EPOCH [44/100], ITER [282/1666] 
LOSS: 0.00078797, TIME: 25375.6s
STEP [71940], EPOCH [44/100], ITER [302/1666] 
LOSS: 0.00109848, TIME: 25383.0s
STEP [71960], EPOCH [44/100], ITER [322/1666] 
LOSS: 0.00054507, TIME: 25390.3s
STEP [71980], EPOCH [44/100], ITER [342/1666] 
LOSS: 0.00114873, TIME: 25397.6s
STEP [72000], EPOCH [44/100], ITER [362/1666] 
LOSS: 0.00059467, TIME: 25404.9s
STEP [72020], EPOCH [44/100], ITER [382/1666] 
LOSS: 0.00080088, TIME: 25412.3s
STEP [72040], EPOCH [44/100], ITER [402/1666] 
LOSS: 0.00051496, TIME: 25419.7s
STEP [72060], EPOCH [44/100], ITER [422/1666] 
LOSS: 0.00094678, TIME: 25427.0s
STEP [72080], EPOCH [44/100], ITER [442/1666] 
LOSS: 0.00099853, TIME: 25434.3s
STEP [72100], EPOCH [44/100], ITER [462/1666] 
LOSS: 0.00092956, TIME: 25441.7s
STEP [72120], EPOCH [44/100], ITER [482/1666] 
LOSS: 0.00065904, TIME: 25449.0s
STEP [72140], EPOCH [44/100], ITER [502/1666] 
LOSS: 0.00098559, TIME: 25456.3s
STEP [72160], EPOCH [44/100], ITER [522/1666] 
LOSS: 0.00085427, TIME: 25463.7s
STEP [72180], EPOCH [44/100], ITER [542/1666] 
LOSS: 0.00095223, TIME: 25471.0s
STEP [72200], EPOCH [44/100], ITER [562/1666] 
LOSS: 0.00077318, TIME: 25478.3s
STEP [72220], EPOCH [44/100], ITER [582/1666] 
LOSS: 0.00069170, TIME: 25485.6s
STEP [72240], EPOCH [44/100], ITER [602/1666] 
LOSS: 0.00096537, TIME: 25493.0s
STEP [72260], EPOCH [44/100], ITER [622/1666] 
LOSS: 0.00052428, TIME: 25500.3s
STEP [72280], EPOCH [44/100], ITER [642/1666] 
LOSS: 0.00067708, TIME: 25507.6s
STEP [72300], EPOCH [44/100], ITER [662/1666] 
LOSS: 0.00070976, TIME: 25514.9s
STEP [72320], EPOCH [44/100], ITER [682/1666] 
LOSS: 0.00099863, TIME: 25522.2s
STEP [72340], EPOCH [44/100], ITER [702/1666] 
LOSS: 0.00043535, TIME: 25529.6s
STEP [72360], EPOCH [44/100], ITER [722/1666] 
LOSS: 0.00098981, TIME: 25536.9s
STEP [72380], EPOCH [44/100], ITER [742/1666] 
LOSS: 0.00093578, TIME: 25544.2s
STEP [72400], EPOCH [44/100], ITER [762/1666] 
LOSS: 0.00130138, TIME: 25551.5s
STEP [72420], EPOCH [44/100], ITER [782/1666] 
LOSS: 0.00072416, TIME: 25558.8s
STEP [72440], EPOCH [44/100], ITER [802/1666] 
LOSS: 0.00096938, TIME: 25566.2s
STEP [72460], EPOCH [44/100], ITER [822/1666] 
LOSS: 0.00094706, TIME: 25573.5s
STEP [72480], EPOCH [44/100], ITER [842/1666] 
LOSS: 0.00106691, TIME: 25580.8s
STEP [72500], EPOCH [44/100], ITER [862/1666] 
LOSS: 0.00060648, TIME: 25588.1s
STEP [72520], EPOCH [44/100], ITER [882/1666] 
LOSS: 0.00109184, TIME: 25595.5s
STEP [72540], EPOCH [44/100], ITER [902/1666] 
LOSS: 0.00084432, TIME: 25602.8s
STEP [72560], EPOCH [44/100], ITER [922/1666] 
LOSS: 0.00052826, TIME: 25610.1s
STEP [72580], EPOCH [44/100], ITER [942/1666] 
LOSS: 0.00069660, TIME: 25617.4s
STEP [72600], EPOCH [44/100], ITER [962/1666] 
LOSS: 0.00089488, TIME: 25624.7s
STEP [72620], EPOCH [44/100], ITER [982/1666] 
LOSS: 0.00104945, TIME: 25632.0s
STEP [72640], EPOCH [44/100], ITER [1002/1666] 
LOSS: 0.00086565, TIME: 25639.3s
STEP [72660], EPOCH [44/100], ITER [1022/1666] 
LOSS: 0.00065538, TIME: 25646.7s
STEP [72680], EPOCH [44/100], ITER [1042/1666] 
LOSS: 0.00080522, TIME: 25654.0s
STEP [72700], EPOCH [44/100], ITER [1062/1666] 
LOSS: 0.00052033, TIME: 25661.3s
STEP [72720], EPOCH [44/100], ITER [1082/1666] 
LOSS: 0.00139696, TIME: 25668.6s
STEP [72740], EPOCH [44/100], ITER [1102/1666] 
LOSS: 0.00071868, TIME: 25675.9s
STEP [72760], EPOCH [44/100], ITER [1122/1666] 
LOSS: 0.00101494, TIME: 25683.3s
STEP [72780], EPOCH [44/100], ITER [1142/1666] 
LOSS: 0.00126880, TIME: 25690.6s
STEP [72800], EPOCH [44/100], ITER [1162/1666] 
LOSS: 0.00074249, TIME: 25697.9s
STEP [72820], EPOCH [44/100], ITER [1182/1666] 
LOSS: 0.00076434, TIME: 25705.1s
STEP [72840], EPOCH [44/100], ITER [1202/1666] 
LOSS: 0.00065661, TIME: 25712.5s
STEP [72860], EPOCH [44/100], ITER [1222/1666] 
LOSS: 0.00074800, TIME: 25719.8s
STEP [72880], EPOCH [44/100], ITER [1242/1666] 
LOSS: 0.00074753, TIME: 25727.1s
STEP [72900], EPOCH [44/100], ITER [1262/1666] 
LOSS: 0.00156775, TIME: 25734.5s
STEP [72920], EPOCH [44/100], ITER [1282/1666] 
LOSS: 0.00087664, TIME: 25741.8s
STEP [72940], EPOCH [44/100], ITER [1302/1666] 
LOSS: 0.00057408, TIME: 25749.1s
STEP [72960], EPOCH [44/100], ITER [1322/1666] 
LOSS: 0.00065237, TIME: 25756.5s
STEP [72980], EPOCH [44/100], ITER [1342/1666] 
LOSS: 0.00082383, TIME: 25763.9s
STEP [73000], EPOCH [44/100], ITER [1362/1666] 
LOSS: 0.00113972, TIME: 25771.2s
STEP [73020], EPOCH [44/100], ITER [1382/1666] 
LOSS: 0.00084107, TIME: 25778.5s
STEP [73040], EPOCH [44/100], ITER [1402/1666] 
LOSS: 0.00078589, TIME: 25784.3s
STEP [73060], EPOCH [44/100], ITER [1422/1666] 
LOSS: 0.00088882, TIME: 25788.2s
STEP [73080], EPOCH [44/100], ITER [1442/1666] 
LOSS: 0.00069646, TIME: 25795.5s
STEP [73100], EPOCH [44/100], ITER [1462/1666] 
LOSS: 0.00071707, TIME: 25802.8s
STEP [73120], EPOCH [44/100], ITER [1482/1666] 
LOSS: 0.00053988, TIME: 25810.1s
STEP [73140], EPOCH [44/100], ITER [1502/1666] 
LOSS: 0.00047877, TIME: 25817.5s
STEP [73160], EPOCH [44/100], ITER [1522/1666] 
LOSS: 0.00186793, TIME: 25824.8s
STEP [73180], EPOCH [44/100], ITER [1542/1666] 
LOSS: 0.00069498, TIME: 25832.1s
STEP [73200], EPOCH [44/100], ITER [1562/1666] 
LOSS: 0.00085740, TIME: 25839.5s
STEP [73220], EPOCH [44/100], ITER [1582/1666] 
LOSS: 0.00069505, TIME: 25846.9s
STEP [73240], EPOCH [44/100], ITER [1602/1666] 
LOSS: 0.00095970, TIME: 25854.2s
STEP [73260], EPOCH [44/100], ITER [1622/1666] 
LOSS: 0.00067431, TIME: 25861.5s
STEP [73280], EPOCH [44/100], ITER [1642/1666] 
LOSS: 0.00134681, TIME: 25868.8s
STEP [73300], EPOCH [44/100], ITER [1662/1666] 
LOSS: 0.00047840, TIME: 25876.1s
STEP [73320], EPOCH [45/100], ITER [16/1666] 
LOSS: 0.00118648, TIME: 25892.5s
STEP [73340], EPOCH [45/100], ITER [36/1666] 
LOSS: 0.00091477, TIME: 25899.8s
STEP [73360], EPOCH [45/100], ITER [56/1666] 
LOSS: 0.00094981, TIME: 25907.1s
STEP [73380], EPOCH [45/100], ITER [76/1666] 
LOSS: 0.00088052, TIME: 25914.5s
STEP [73400], EPOCH [45/100], ITER [96/1666] 
LOSS: 0.00089660, TIME: 25921.7s
STEP [73420], EPOCH [45/100], ITER [116/1666] 
LOSS: 0.00089057, TIME: 25929.1s
STEP [73440], EPOCH [45/100], ITER [136/1666] 
LOSS: 0.00079422, TIME: 25936.3s
STEP [73460], EPOCH [45/100], ITER [156/1666] 
LOSS: 0.00079441, TIME: 25943.7s
STEP [73480], EPOCH [45/100], ITER [176/1666] 
LOSS: 0.00103025, TIME: 25951.0s
STEP [73500], EPOCH [45/100], ITER [196/1666] 
LOSS: 0.00099045, TIME: 25958.3s
STEP [73520], EPOCH [45/100], ITER [216/1666] 
LOSS: 0.00073014, TIME: 25965.5s
STEP [73540], EPOCH [45/100], ITER [236/1666] 
LOSS: 0.00089076, TIME: 25972.9s
STEP [73560], EPOCH [45/100], ITER [256/1666] 
LOSS: 0.00092120, TIME: 25980.2s
STEP [73580], EPOCH [45/100], ITER [276/1666] 
LOSS: 0.00073952, TIME: 25987.5s
STEP [73600], EPOCH [45/100], ITER [296/1666] 
LOSS: 0.00090493, TIME: 25994.8s
STEP [73620], EPOCH [45/100], ITER [316/1666] 
LOSS: 0.00128312, TIME: 26002.1s
STEP [73640], EPOCH [45/100], ITER [336/1666] 
LOSS: 0.00102575, TIME: 26009.4s
STEP [73660], EPOCH [45/100], ITER [356/1666] 
LOSS: 0.00103576, TIME: 26016.7s
STEP [73680], EPOCH [45/100], ITER [376/1666] 
LOSS: 0.00073949, TIME: 26024.0s
STEP [73700], EPOCH [45/100], ITER [396/1666] 
LOSS: 0.00082442, TIME: 26031.3s
STEP [73720], EPOCH [45/100], ITER [416/1666] 
LOSS: 0.00080710, TIME: 26038.6s
STEP [73740], EPOCH [45/100], ITER [436/1666] 
LOSS: 0.00078396, TIME: 26045.9s
STEP [73760], EPOCH [45/100], ITER [456/1666] 
LOSS: 0.00060600, TIME: 26053.2s
STEP [73780], EPOCH [45/100], ITER [476/1666] 
LOSS: 0.00075485, TIME: 26060.5s
STEP [73800], EPOCH [45/100], ITER [496/1666] 
LOSS: 0.00132519, TIME: 26067.8s
STEP [73820], EPOCH [45/100], ITER [516/1666] 
LOSS: 0.00090963, TIME: 26075.1s
STEP [73840], EPOCH [45/100], ITER [536/1666] 
LOSS: 0.00086818, TIME: 26082.5s
STEP [73860], EPOCH [45/100], ITER [556/1666] 
LOSS: 0.00095527, TIME: 26089.8s
STEP [73880], EPOCH [45/100], ITER [576/1666] 
LOSS: 0.00110505, TIME: 26097.1s
STEP [73900], EPOCH [45/100], ITER [596/1666] 
LOSS: 0.00062200, TIME: 26104.3s
STEP [73920], EPOCH [45/100], ITER [616/1666] 
LOSS: 0.00102377, TIME: 26111.7s
STEP [73940], EPOCH [45/100], ITER [636/1666] 
LOSS: 0.00089601, TIME: 26119.0s
STEP [73960], EPOCH [45/100], ITER [656/1666] 
LOSS: 0.00136159, TIME: 26126.3s
STEP [73980], EPOCH [45/100], ITER [676/1666] 
LOSS: 0.00093135, TIME: 26133.6s
STEP [74000], EPOCH [45/100], ITER [696/1666] 
LOSS: 0.00080680, TIME: 26140.9s
STEP [74020], EPOCH [45/100], ITER [716/1666] 
LOSS: 0.00070579, TIME: 26148.2s
STEP [74040], EPOCH [45/100], ITER [736/1666] 
LOSS: 0.00055054, TIME: 26155.5s
STEP [74060], EPOCH [45/100], ITER [756/1666] 
LOSS: 0.00087206, TIME: 26162.8s
STEP [74080], EPOCH [45/100], ITER [776/1666] 
LOSS: 0.00114596, TIME: 26170.2s
STEP [74100], EPOCH [45/100], ITER [796/1666] 
LOSS: 0.00061476, TIME: 26177.4s
STEP [74120], EPOCH [45/100], ITER [816/1666] 
LOSS: 0.00062452, TIME: 26184.7s
STEP [74140], EPOCH [45/100], ITER [836/1666] 
LOSS: 0.00075492, TIME: 26192.0s
STEP [74160], EPOCH [45/100], ITER [856/1666] 
LOSS: 0.00102374, TIME: 26199.4s
STEP [74180], EPOCH [45/100], ITER [876/1666] 
LOSS: 0.00053824, TIME: 26206.7s
STEP [74200], EPOCH [45/100], ITER [896/1666] 
LOSS: 0.00086385, TIME: 26214.0s
STEP [74220], EPOCH [45/100], ITER [916/1666] 
LOSS: 0.00119012, TIME: 26221.3s
STEP [74240], EPOCH [45/100], ITER [936/1666] 
LOSS: 0.00070684, TIME: 26228.7s
STEP [74260], EPOCH [45/100], ITER [956/1666] 
LOSS: 0.00087093, TIME: 26236.0s
STEP [74280], EPOCH [45/100], ITER [976/1666] 
LOSS: 0.00116141, TIME: 26243.4s
STEP [74300], EPOCH [45/100], ITER [996/1666] 
LOSS: 0.00068791, TIME: 26250.7s
STEP [74320], EPOCH [45/100], ITER [1016/1666] 
LOSS: 0.00086304, TIME: 26257.9s
STEP [74340], EPOCH [45/100], ITER [1036/1666] 
LOSS: 0.00092306, TIME: 26265.2s
STEP [74360], EPOCH [45/100], ITER [1056/1666] 
LOSS: 0.00067487, TIME: 26272.6s
STEP [74380], EPOCH [45/100], ITER [1076/1666] 
LOSS: 0.00076855, TIME: 26279.9s
STEP [74400], EPOCH [45/100], ITER [1096/1666] 
LOSS: 0.00102652, TIME: 26287.2s
STEP [74420], EPOCH [45/100], ITER [1116/1666] 
LOSS: 0.00070734, TIME: 26294.5s
STEP [74440], EPOCH [45/100], ITER [1136/1666] 
LOSS: 0.00076626, TIME: 26301.9s
STEP [74460], EPOCH [45/100], ITER [1156/1666] 
LOSS: 0.00055421, TIME: 26309.2s
STEP [74480], EPOCH [45/100], ITER [1176/1666] 
LOSS: 0.00097889, TIME: 26316.5s
STEP [74500], EPOCH [45/100], ITER [1196/1666] 
LOSS: 0.00062695, TIME: 26323.8s
STEP [74520], EPOCH [45/100], ITER [1216/1666] 
LOSS: 0.00104294, TIME: 26331.1s
STEP [74540], EPOCH [45/100], ITER [1236/1666] 
LOSS: 0.00184017, TIME: 26338.4s
STEP [74560], EPOCH [45/100], ITER [1256/1666] 
LOSS: 0.00090742, TIME: 26345.8s
STEP [74580], EPOCH [45/100], ITER [1276/1666] 
LOSS: 0.00079362, TIME: 26353.1s
STEP [74600], EPOCH [45/100], ITER [1296/1666] 
LOSS: 0.00080695, TIME: 26360.4s
STEP [74620], EPOCH [45/100], ITER [1316/1666] 
LOSS: 0.00066275, TIME: 26367.7s
STEP [74640], EPOCH [45/100], ITER [1336/1666] 
LOSS: 0.00174772, TIME: 26375.0s
STEP [74660], EPOCH [45/100], ITER [1356/1666] 
LOSS: 0.00044187, TIME: 26382.3s
STEP [74680], EPOCH [45/100], ITER [1376/1666] 
LOSS: 0.00097712, TIME: 26389.7s
STEP [74700], EPOCH [45/100], ITER [1396/1666] 
LOSS: 0.00074767, TIME: 26397.0s
STEP [74720], EPOCH [45/100], ITER [1416/1666] 
LOSS: 0.00084399, TIME: 26404.3s
STEP [74740], EPOCH [45/100], ITER [1436/1666] 
LOSS: 0.00077415, TIME: 26411.5s
STEP [74760], EPOCH [45/100], ITER [1456/1666] 
LOSS: 0.00063135, TIME: 26418.9s
STEP [74780], EPOCH [45/100], ITER [1476/1666] 
LOSS: 0.00067398, TIME: 26426.2s
STEP [74800], EPOCH [45/100], ITER [1496/1666] 
LOSS: 0.00059923, TIME: 26433.5s
STEP [74820], EPOCH [45/100], ITER [1516/1666] 
LOSS: 0.00101001, TIME: 26440.8s
STEP [74840], EPOCH [45/100], ITER [1536/1666] 
LOSS: 0.00058418, TIME: 26448.1s
STEP [74860], EPOCH [45/100], ITER [1556/1666] 
LOSS: 0.00058539, TIME: 26455.4s
STEP [74880], EPOCH [45/100], ITER [1576/1666] 
LOSS: 0.00095512, TIME: 26462.8s
STEP [74900], EPOCH [45/100], ITER [1596/1666] 
LOSS: 0.00071978, TIME: 26470.1s
STEP [74920], EPOCH [45/100], ITER [1616/1666] 
LOSS: 0.00083112, TIME: 26477.4s
STEP [74940], EPOCH [45/100], ITER [1636/1666] 
LOSS: 0.00072881, TIME: 26484.8s
STEP [74960], EPOCH [45/100], ITER [1656/1666] 
LOSS: 0.00046751, TIME: 26492.0s
STEP [74980], EPOCH [46/100], ITER [10/1666] 
LOSS: 0.00070169, TIME: 26508.5s
STEP [75000], EPOCH [46/100], ITER [30/1666] 
LOSS: 0.00092425, TIME: 26515.8s
STEP [75020], EPOCH [46/100], ITER [50/1666] 
LOSS: 0.00107638, TIME: 26523.1s
STEP [75040], EPOCH [46/100], ITER [70/1666] 
LOSS: 0.00073835, TIME: 26530.4s
STEP [75060], EPOCH [46/100], ITER [90/1666] 
LOSS: 0.00067919, TIME: 26537.7s
STEP [75080], EPOCH [46/100], ITER [110/1666] 
LOSS: 0.00056434, TIME: 26545.1s
STEP [75100], EPOCH [46/100], ITER [130/1666] 
LOSS: 0.00105290, TIME: 26552.4s
STEP [75120], EPOCH [46/100], ITER [150/1666] 
LOSS: 0.00083268, TIME: 26559.7s
STEP [75140], EPOCH [46/100], ITER [170/1666] 
LOSS: 0.00062671, TIME: 26567.0s
STEP [75160], EPOCH [46/100], ITER [190/1666] 
LOSS: 0.00072717, TIME: 26574.3s
STEP [75180], EPOCH [46/100], ITER [210/1666] 
LOSS: 0.00076576, TIME: 26581.6s
STEP [75200], EPOCH [46/100], ITER [230/1666] 
LOSS: 0.00061784, TIME: 26589.0s
STEP [75220], EPOCH [46/100], ITER [250/1666] 
LOSS: 0.00116816, TIME: 26596.3s
STEP [75240], EPOCH [46/100], ITER [270/1666] 
LOSS: 0.00060074, TIME: 26603.6s
STEP [75260], EPOCH [46/100], ITER [290/1666] 
LOSS: 0.00104304, TIME: 26611.0s
STEP [75280], EPOCH [46/100], ITER [310/1666] 
LOSS: 0.00115830, TIME: 26618.3s
STEP [75300], EPOCH [46/100], ITER [330/1666] 
LOSS: 0.00106306, TIME: 26625.6s
STEP [75320], EPOCH [46/100], ITER [350/1666] 
LOSS: 0.00072544, TIME: 26632.9s
STEP [75340], EPOCH [46/100], ITER [370/1666] 
LOSS: 0.00059115, TIME: 26640.2s
STEP [75360], EPOCH [46/100], ITER [390/1666] 
LOSS: 0.00072799, TIME: 26647.5s
STEP [75380], EPOCH [46/100], ITER [410/1666] 
LOSS: 0.00086217, TIME: 26654.8s
STEP [75400], EPOCH [46/100], ITER [430/1666] 
LOSS: 0.00087574, TIME: 26662.1s
STEP [75420], EPOCH [46/100], ITER [450/1666] 
LOSS: 0.00109099, TIME: 26669.4s
STEP [75440], EPOCH [46/100], ITER [470/1666] 
LOSS: 0.00083663, TIME: 26676.8s
STEP [75460], EPOCH [46/100], ITER [490/1666] 
LOSS: 0.00064126, TIME: 26684.1s
STEP [75480], EPOCH [46/100], ITER [510/1666] 
LOSS: 0.00075307, TIME: 26691.4s
STEP [75500], EPOCH [46/100], ITER [530/1666] 
LOSS: 0.00091064, TIME: 26698.7s
STEP [75520], EPOCH [46/100], ITER [550/1666] 
LOSS: 0.00094156, TIME: 26706.1s
STEP [75540], EPOCH [46/100], ITER [570/1666] 
LOSS: 0.00066897, TIME: 26713.4s
STEP [75560], EPOCH [46/100], ITER [590/1666] 
LOSS: 0.00072274, TIME: 26720.7s
STEP [75580], EPOCH [46/100], ITER [610/1666] 
LOSS: 0.00084070, TIME: 26728.0s
STEP [75600], EPOCH [46/100], ITER [630/1666] 
LOSS: 0.00083686, TIME: 26735.3s
STEP [75620], EPOCH [46/100], ITER [650/1666] 
LOSS: 0.00170267, TIME: 26742.6s
STEP [75640], EPOCH [46/100], ITER [670/1666] 
LOSS: 0.00107079, TIME: 26749.9s
STEP [75660], EPOCH [46/100], ITER [690/1666] 
LOSS: 0.00122035, TIME: 26757.2s
STEP [75680], EPOCH [46/100], ITER [710/1666] 
LOSS: 0.00080823, TIME: 26764.5s
STEP [75700], EPOCH [46/100], ITER [730/1666] 
LOSS: 0.00075554, TIME: 26771.9s
STEP [75720], EPOCH [46/100], ITER [750/1666] 
LOSS: 0.00125798, TIME: 26779.2s
STEP [75740], EPOCH [46/100], ITER [770/1666] 
LOSS: 0.00063844, TIME: 26786.5s
STEP [75760], EPOCH [46/100], ITER [790/1666] 
LOSS: 0.00059176, TIME: 26793.7s
STEP [75780], EPOCH [46/100], ITER [810/1666] 
LOSS: 0.00118588, TIME: 26801.0s
STEP [75800], EPOCH [46/100], ITER [830/1666] 
LOSS: 0.00104534, TIME: 26808.3s
STEP [75820], EPOCH [46/100], ITER [850/1666] 
LOSS: 0.00087277, TIME: 26815.6s
STEP [75840], EPOCH [46/100], ITER [870/1666] 
LOSS: 0.00079084, TIME: 26822.9s
STEP [75860], EPOCH [46/100], ITER [890/1666] 
LOSS: 0.00071532, TIME: 26830.3s
STEP [75880], EPOCH [46/100], ITER [910/1666] 
LOSS: 0.00083945, TIME: 26837.6s
STEP [75900], EPOCH [46/100], ITER [930/1666] 
LOSS: 0.00100535, TIME: 26844.9s
STEP [75920], EPOCH [46/100], ITER [950/1666] 
LOSS: 0.00107573, TIME: 26852.1s
STEP [75940], EPOCH [46/100], ITER [970/1666] 
LOSS: 0.00064128, TIME: 26859.5s
STEP [75960], EPOCH [46/100], ITER [990/1666] 
LOSS: 0.00091450, TIME: 26866.8s
STEP [75980], EPOCH [46/100], ITER [1010/1666] 
LOSS: 0.00056258, TIME: 26874.1s
STEP [76000], EPOCH [46/100], ITER [1030/1666] 
LOSS: 0.00089635, TIME: 26881.4s
STEP [76020], EPOCH [46/100], ITER [1050/1666] 
LOSS: 0.00052244, TIME: 26888.7s
STEP [76040], EPOCH [46/100], ITER [1070/1666] 
LOSS: 0.00141492, TIME: 26896.0s
STEP [76060], EPOCH [46/100], ITER [1090/1666] 
LOSS: 0.00132367, TIME: 26903.3s
STEP [76080], EPOCH [46/100], ITER [1110/1666] 
LOSS: 0.00102737, TIME: 26910.6s
STEP [76100], EPOCH [46/100], ITER [1130/1666] 
LOSS: 0.00081140, TIME: 26917.9s
STEP [76120], EPOCH [46/100], ITER [1150/1666] 
LOSS: 0.00075498, TIME: 26925.3s
STEP [76140], EPOCH [46/100], ITER [1170/1666] 
LOSS: 0.00121756, TIME: 26932.6s
STEP [76160], EPOCH [46/100], ITER [1190/1666] 
LOSS: 0.00087550, TIME: 26939.9s
STEP [76180], EPOCH [46/100], ITER [1210/1666] 
LOSS: 0.00093540, TIME: 26947.2s
STEP [76200], EPOCH [46/100], ITER [1230/1666] 
LOSS: 0.00062169, TIME: 26954.4s
STEP [76220], EPOCH [46/100], ITER [1250/1666] 
LOSS: 0.00082532, TIME: 26961.7s
STEP [76240], EPOCH [46/100], ITER [1270/1666] 
LOSS: 0.00177052, TIME: 26969.1s
STEP [76260], EPOCH [46/100], ITER [1290/1666] 
LOSS: 0.00090783, TIME: 26976.4s
STEP [76280], EPOCH [46/100], ITER [1310/1666] 
LOSS: 0.00102519, TIME: 26983.7s
STEP [76300], EPOCH [46/100], ITER [1330/1666] 
LOSS: 0.00064411, TIME: 26991.0s
STEP [76320], EPOCH [46/100], ITER [1350/1666] 
LOSS: 0.00084028, TIME: 26998.3s
STEP [76340], EPOCH [46/100], ITER [1370/1666] 
LOSS: 0.00094448, TIME: 27005.7s
STEP [76360], EPOCH [46/100], ITER [1390/1666] 
LOSS: 0.00077435, TIME: 27013.0s
STEP [76380], EPOCH [46/100], ITER [1410/1666] 
LOSS: 0.00080489, TIME: 27020.3s
STEP [76400], EPOCH [46/100], ITER [1430/1666] 
LOSS: 0.00052616, TIME: 27027.6s
STEP [76420], EPOCH [46/100], ITER [1450/1666] 
LOSS: 0.00047872, TIME: 27034.9s
STEP [76440], EPOCH [46/100], ITER [1470/1666] 
LOSS: 0.00074060, TIME: 27042.3s
STEP [76460], EPOCH [46/100], ITER [1490/1666] 
LOSS: 0.00094453, TIME: 27049.6s
STEP [76480], EPOCH [46/100], ITER [1510/1666] 
LOSS: 0.00092741, TIME: 27056.9s
STEP [76500], EPOCH [46/100], ITER [1530/1666] 
LOSS: 0.00078979, TIME: 27064.3s
STEP [76520], EPOCH [46/100], ITER [1550/1666] 
LOSS: 0.00089634, TIME: 27071.6s
STEP [76540], EPOCH [46/100], ITER [1570/1666] 
LOSS: 0.00072984, TIME: 27078.9s
STEP [76560], EPOCH [46/100], ITER [1590/1666] 
LOSS: 0.00079047, TIME: 27086.2s
STEP [76580], EPOCH [46/100], ITER [1610/1666] 
LOSS: 0.00068726, TIME: 27093.5s
STEP [76600], EPOCH [46/100], ITER [1630/1666] 
LOSS: 0.00101699, TIME: 27100.8s
STEP [76620], EPOCH [46/100], ITER [1650/1666] 
LOSS: 0.00093021, TIME: 27108.1s
STEP [76640], EPOCH [47/100], ITER [4/1666] 
LOSS: 0.00068034, TIME: 27124.4s
STEP [76660], EPOCH [47/100], ITER [24/1666] 
LOSS: 0.00080430, TIME: 27131.7s
STEP [76680], EPOCH [47/100], ITER [44/1666] 
LOSS: 0.00109929, TIME: 27139.0s
STEP [76700], EPOCH [47/100], ITER [64/1666] 
LOSS: 0.00086367, TIME: 27146.4s
STEP [76720], EPOCH [47/100], ITER [84/1666] 
LOSS: 0.00076568, TIME: 27153.7s
STEP [76740], EPOCH [47/100], ITER [104/1666] 
LOSS: 0.00091911, TIME: 27161.0s
STEP [76760], EPOCH [47/100], ITER [124/1666] 
LOSS: 0.00091612, TIME: 27168.3s
STEP [76780], EPOCH [47/100], ITER [144/1666] 
LOSS: 0.00117214, TIME: 27175.5s
STEP [76800], EPOCH [47/100], ITER [164/1666] 
LOSS: 0.00091489, TIME: 27182.8s
STEP [76820], EPOCH [47/100], ITER [184/1666] 
LOSS: 0.00072512, TIME: 27190.1s
STEP [76840], EPOCH [47/100], ITER [204/1666] 
LOSS: 0.00070922, TIME: 27197.4s
STEP [76860], EPOCH [47/100], ITER [224/1666] 
LOSS: 0.00075433, TIME: 27204.8s
STEP [76880], EPOCH [47/100], ITER [244/1666] 
LOSS: 0.00061305, TIME: 27212.1s
STEP [76900], EPOCH [47/100], ITER [264/1666] 
LOSS: 0.00083806, TIME: 27219.4s
STEP [76920], EPOCH [47/100], ITER [284/1666] 
LOSS: 0.00084041, TIME: 27226.7s
STEP [76940], EPOCH [47/100], ITER [304/1666] 
LOSS: 0.00059883, TIME: 27234.0s
STEP [76960], EPOCH [47/100], ITER [324/1666] 
LOSS: 0.00083072, TIME: 27241.3s
STEP [76980], EPOCH [47/100], ITER [344/1666] 
LOSS: 0.00109614, TIME: 27248.6s
STEP [77000], EPOCH [47/100], ITER [364/1666] 
LOSS: 0.00095171, TIME: 27255.9s
STEP [77020], EPOCH [47/100], ITER [384/1666] 
LOSS: 0.00078822, TIME: 27263.2s
STEP [77040], EPOCH [47/100], ITER [404/1666] 
LOSS: 0.00100214, TIME: 27270.5s
STEP [77060], EPOCH [47/100], ITER [424/1666] 
LOSS: 0.00056514, TIME: 27277.9s
STEP [77080], EPOCH [47/100], ITER [444/1666] 
LOSS: 0.00064969, TIME: 27285.2s
STEP [77100], EPOCH [47/100], ITER [464/1666] 
LOSS: 0.00103557, TIME: 27292.5s
STEP [77120], EPOCH [47/100], ITER [484/1666] 
LOSS: 0.00068509, TIME: 27299.8s
STEP [77140], EPOCH [47/100], ITER [504/1666] 
LOSS: 0.00061045, TIME: 27307.1s
STEP [77160], EPOCH [47/100], ITER [524/1666] 
LOSS: 0.00073543, TIME: 27314.4s
STEP [77180], EPOCH [47/100], ITER [544/1666] 
LOSS: 0.00129226, TIME: 27321.7s
STEP [77200], EPOCH [47/100], ITER [564/1666] 
LOSS: 0.00066204, TIME: 27329.0s
STEP [77220], EPOCH [47/100], ITER [584/1666] 
LOSS: 0.00088820, TIME: 27334.4s
STEP [77240], EPOCH [47/100], ITER [604/1666] 
LOSS: 0.00066418, TIME: 27339.0s
STEP [77260], EPOCH [47/100], ITER [624/1666] 
LOSS: 0.00086457, TIME: 27346.4s
STEP [77280], EPOCH [47/100], ITER [644/1666] 
LOSS: 0.00091348, TIME: 27353.7s
STEP [77300], EPOCH [47/100], ITER [664/1666] 
LOSS: 0.00045485, TIME: 27361.0s
STEP [77320], EPOCH [47/100], ITER [684/1666] 
LOSS: 0.00081087, TIME: 27368.3s
STEP [77340], EPOCH [47/100], ITER [704/1666] 
LOSS: 0.00082935, TIME: 27375.6s
STEP [77360], EPOCH [47/100], ITER [724/1666] 
LOSS: 0.00060344, TIME: 27382.9s
STEP [77380], EPOCH [47/100], ITER [744/1666] 
LOSS: 0.00062184, TIME: 27390.2s
STEP [77400], EPOCH [47/100], ITER [764/1666] 
LOSS: 0.00091824, TIME: 27397.5s
STEP [77420], EPOCH [47/100], ITER [784/1666] 
LOSS: 0.00083152, TIME: 27404.8s
STEP [77440], EPOCH [47/100], ITER [804/1666] 
LOSS: 0.00095084, TIME: 27412.1s
STEP [77460], EPOCH [47/100], ITER [824/1666] 
LOSS: 0.00104214, TIME: 27419.4s
STEP [77480], EPOCH [47/100], ITER [844/1666] 
LOSS: 0.00072610, TIME: 27426.8s
STEP [77500], EPOCH [47/100], ITER [864/1666] 
LOSS: 0.00092537, TIME: 27434.1s
STEP [77520], EPOCH [47/100], ITER [884/1666] 
LOSS: 0.00070305, TIME: 27441.4s
STEP [77540], EPOCH [47/100], ITER [904/1666] 
LOSS: 0.00087262, TIME: 27448.6s
STEP [77560], EPOCH [47/100], ITER [924/1666] 
LOSS: 0.00084781, TIME: 27456.0s
STEP [77580], EPOCH [47/100], ITER [944/1666] 
LOSS: 0.00085676, TIME: 27463.3s
STEP [77600], EPOCH [47/100], ITER [964/1666] 
LOSS: 0.00063948, TIME: 27470.6s
STEP [77620], EPOCH [47/100], ITER [984/1666] 
LOSS: 0.00121448, TIME: 27477.9s
STEP [77640], EPOCH [47/100], ITER [1004/1666] 
LOSS: 0.00068080, TIME: 27485.2s
STEP [77660], EPOCH [47/100], ITER [1024/1666] 
LOSS: 0.00065574, TIME: 27492.5s
STEP [77680], EPOCH [47/100], ITER [1044/1666] 
LOSS: 0.00104082, TIME: 27499.9s
STEP [77700], EPOCH [47/100], ITER [1064/1666] 
LOSS: 0.00084380, TIME: 27507.2s
STEP [77720], EPOCH [47/100], ITER [1084/1666] 
LOSS: 0.00078762, TIME: 27514.5s
STEP [77740], EPOCH [47/100], ITER [1104/1666] 
LOSS: 0.00077347, TIME: 27521.8s
STEP [77760], EPOCH [47/100], ITER [1124/1666] 
LOSS: 0.00055174, TIME: 27529.1s
STEP [77780], EPOCH [47/100], ITER [1144/1666] 
LOSS: 0.00103549, TIME: 27536.4s
STEP [77800], EPOCH [47/100], ITER [1164/1666] 
LOSS: 0.00082990, TIME: 27543.7s
STEP [77820], EPOCH [47/100], ITER [1184/1666] 
LOSS: 0.00077421, TIME: 27551.0s
STEP [77840], EPOCH [47/100], ITER [1204/1666] 
LOSS: 0.00077602, TIME: 27558.3s
STEP [77860], EPOCH [47/100], ITER [1224/1666] 
LOSS: 0.00068733, TIME: 27565.7s
STEP [77880], EPOCH [47/100], ITER [1244/1666] 
LOSS: 0.00074923, TIME: 27573.0s
STEP [77900], EPOCH [47/100], ITER [1264/1666] 
LOSS: 0.00093512, TIME: 27580.2s
STEP [77920], EPOCH [47/100], ITER [1284/1666] 
LOSS: 0.00091551, TIME: 27587.5s
STEP [77940], EPOCH [47/100], ITER [1304/1666] 
LOSS: 0.00059158, TIME: 27594.8s
STEP [77960], EPOCH [47/100], ITER [1324/1666] 
LOSS: 0.00088441, TIME: 27602.1s
STEP [77980], EPOCH [47/100], ITER [1344/1666] 
LOSS: 0.00059885, TIME: 27609.4s
STEP [78000], EPOCH [47/100], ITER [1364/1666] 
LOSS: 0.00071914, TIME: 27616.7s
STEP [78020], EPOCH [47/100], ITER [1384/1666] 
LOSS: 0.00052232, TIME: 27624.1s
STEP [78040], EPOCH [47/100], ITER [1404/1666] 
LOSS: 0.00085523, TIME: 27631.3s
STEP [78060], EPOCH [47/100], ITER [1424/1666] 
LOSS: 0.00124006, TIME: 27638.6s
STEP [78080], EPOCH [47/100], ITER [1444/1666] 
LOSS: 0.00148334, TIME: 27645.9s
STEP [78100], EPOCH [47/100], ITER [1464/1666] 
LOSS: 0.00092284, TIME: 27653.2s
STEP [78120], EPOCH [47/100], ITER [1484/1666] 
LOSS: 0.00074231, TIME: 27660.5s
STEP [78140], EPOCH [47/100], ITER [1504/1666] 
LOSS: 0.00072860, TIME: 27667.8s
STEP [78160], EPOCH [47/100], ITER [1524/1666] 
LOSS: 0.00129523, TIME: 27675.1s
STEP [78180], EPOCH [47/100], ITER [1544/1666] 
LOSS: 0.00057262, TIME: 27682.4s
STEP [78200], EPOCH [47/100], ITER [1564/1666] 
LOSS: 0.00115830, TIME: 27689.7s
STEP [78220], EPOCH [47/100], ITER [1584/1666] 
LOSS: 0.00035580, TIME: 27697.0s
STEP [78240], EPOCH [47/100], ITER [1604/1666] 
LOSS: 0.00106487, TIME: 27704.3s
STEP [78260], EPOCH [47/100], ITER [1624/1666] 
LOSS: 0.00062856, TIME: 27711.6s
STEP [78280], EPOCH [47/100], ITER [1644/1666] 
LOSS: 0.00056934, TIME: 27718.9s
STEP [78300], EPOCH [47/100], ITER [1664/1666] 
LOSS: 0.00065228, TIME: 27726.2s
STEP [78320], EPOCH [48/100], ITER [18/1666] 
LOSS: 0.00054556, TIME: 27742.6s
STEP [78340], EPOCH [48/100], ITER [38/1666] 
LOSS: 0.00074027, TIME: 27749.9s
STEP [78360], EPOCH [48/100], ITER [58/1666] 
LOSS: 0.00073050, TIME: 27757.2s
STEP [78380], EPOCH [48/100], ITER [78/1666] 
LOSS: 0.00079603, TIME: 27764.5s
STEP [78400], EPOCH [48/100], ITER [98/1666] 
LOSS: 0.00078704, TIME: 27771.8s
STEP [78420], EPOCH [48/100], ITER [118/1666] 
LOSS: 0.00099963, TIME: 27779.1s
STEP [78440], EPOCH [48/100], ITER [138/1666] 
LOSS: 0.00151923, TIME: 27786.4s
STEP [78460], EPOCH [48/100], ITER [158/1666] 
LOSS: 0.00127559, TIME: 27793.7s
STEP [78480], EPOCH [48/100], ITER [178/1666] 
LOSS: 0.00072587, TIME: 27801.0s
STEP [78500], EPOCH [48/100], ITER [198/1666] 
LOSS: 0.00069720, TIME: 27808.3s
STEP [78520], EPOCH [48/100], ITER [218/1666] 
LOSS: 0.00057419, TIME: 27815.6s
STEP [78540], EPOCH [48/100], ITER [238/1666] 
LOSS: 0.00073683, TIME: 27822.9s
STEP [78560], EPOCH [48/100], ITER [258/1666] 
LOSS: 0.00085006, TIME: 27830.2s
STEP [78580], EPOCH [48/100], ITER [278/1666] 
LOSS: 0.00052442, TIME: 27837.5s
STEP [78600], EPOCH [48/100], ITER [298/1666] 
LOSS: 0.00091233, TIME: 27844.8s
STEP [78620], EPOCH [48/100], ITER [318/1666] 
LOSS: 0.00062718, TIME: 27852.1s
STEP [78640], EPOCH [48/100], ITER [338/1666] 
LOSS: 0.00066039, TIME: 27859.4s
STEP [78660], EPOCH [48/100], ITER [358/1666] 
LOSS: 0.00081917, TIME: 27866.7s
STEP [78680], EPOCH [48/100], ITER [378/1666] 
LOSS: 0.00053952, TIME: 27874.0s
STEP [78700], EPOCH [48/100], ITER [398/1666] 
LOSS: 0.00105137, TIME: 27881.2s
STEP [78720], EPOCH [48/100], ITER [418/1666] 
LOSS: 0.00076790, TIME: 27888.5s
STEP [78740], EPOCH [48/100], ITER [438/1666] 
LOSS: 0.00067040, TIME: 27895.8s
STEP [78760], EPOCH [48/100], ITER [458/1666] 
LOSS: 0.00086731, TIME: 27903.1s
STEP [78780], EPOCH [48/100], ITER [478/1666] 
LOSS: 0.00081247, TIME: 27910.4s
STEP [78800], EPOCH [48/100], ITER [498/1666] 
LOSS: 0.00072659, TIME: 27917.7s
STEP [78820], EPOCH [48/100], ITER [518/1666] 
LOSS: 0.00069476, TIME: 27925.1s
STEP [78840], EPOCH [48/100], ITER [538/1666] 
LOSS: 0.00048982, TIME: 27932.4s
STEP [78860], EPOCH [48/100], ITER [558/1666] 
LOSS: 0.00062854, TIME: 27939.7s
STEP [78880], EPOCH [48/100], ITER [578/1666] 
LOSS: 0.00101501, TIME: 27946.9s
STEP [78900], EPOCH [48/100], ITER [598/1666] 
LOSS: 0.00066005, TIME: 27954.2s
STEP [78920], EPOCH [48/100], ITER [618/1666] 
LOSS: 0.00083791, TIME: 27961.5s
STEP [78940], EPOCH [48/100], ITER [638/1666] 
LOSS: 0.00104489, TIME: 27968.8s
STEP [78960], EPOCH [48/100], ITER [658/1666] 
LOSS: 0.00071073, TIME: 27976.1s
STEP [78980], EPOCH [48/100], ITER [678/1666] 
LOSS: 0.00067000, TIME: 27983.4s
STEP [79000], EPOCH [48/100], ITER [698/1666] 
LOSS: 0.00063364, TIME: 27990.7s
STEP [79020], EPOCH [48/100], ITER [718/1666] 
LOSS: 0.00071365, TIME: 27998.0s
STEP [79040], EPOCH [48/100], ITER [738/1666] 
LOSS: 0.00078521, TIME: 28005.3s
STEP [79060], EPOCH [48/100], ITER [758/1666] 
LOSS: 0.00112488, TIME: 28012.6s
STEP [79080], EPOCH [48/100], ITER [778/1666] 
LOSS: 0.00098029, TIME: 28019.9s
STEP [79100], EPOCH [48/100], ITER [798/1666] 
LOSS: 0.00061750, TIME: 28027.3s
STEP [79120], EPOCH [48/100], ITER [818/1666] 
LOSS: 0.00069044, TIME: 28034.6s
STEP [79140], EPOCH [48/100], ITER [838/1666] 
LOSS: 0.00092289, TIME: 28041.8s
STEP [79160], EPOCH [48/100], ITER [858/1666] 
LOSS: 0.00134870, TIME: 28049.2s
STEP [79180], EPOCH [48/100], ITER [878/1666] 
LOSS: 0.00109651, TIME: 28056.5s
STEP [79200], EPOCH [48/100], ITER [898/1666] 
LOSS: 0.00068263, TIME: 28063.8s
STEP [79220], EPOCH [48/100], ITER [918/1666] 
LOSS: 0.00102696, TIME: 28071.1s
STEP [79240], EPOCH [48/100], ITER [938/1666] 
LOSS: 0.00098571, TIME: 28078.4s
STEP [79260], EPOCH [48/100], ITER [958/1666] 
LOSS: 0.00062594, TIME: 28085.7s
STEP [79280], EPOCH [48/100], ITER [978/1666] 
LOSS: 0.00076325, TIME: 28093.0s
STEP [79300], EPOCH [48/100], ITER [998/1666] 
LOSS: 0.00054340, TIME: 28100.3s
STEP [79320], EPOCH [48/100], ITER [1018/1666] 
LOSS: 0.00069275, TIME: 28107.6s
STEP [79340], EPOCH [48/100], ITER [1038/1666] 
LOSS: 0.00059669, TIME: 28114.9s
STEP [79360], EPOCH [48/100], ITER [1058/1666] 
LOSS: 0.00104938, TIME: 28122.2s
STEP [79380], EPOCH [48/100], ITER [1078/1666] 
LOSS: 0.00052950, TIME: 28129.5s
STEP [79400], EPOCH [48/100], ITER [1098/1666] 
LOSS: 0.00061634, TIME: 28136.8s
STEP [79420], EPOCH [48/100], ITER [1118/1666] 
LOSS: 0.00073985, TIME: 28144.1s
STEP [79440], EPOCH [48/100], ITER [1138/1666] 
LOSS: 0.00063101, TIME: 28151.4s
STEP [79460], EPOCH [48/100], ITER [1158/1666] 
LOSS: 0.00107284, TIME: 28158.7s
STEP [79480], EPOCH [48/100], ITER [1178/1666] 
LOSS: 0.00132531, TIME: 28166.0s
STEP [79500], EPOCH [48/100], ITER [1198/1666] 
LOSS: 0.00090809, TIME: 28173.3s
STEP [79520], EPOCH [48/100], ITER [1218/1666] 
LOSS: 0.00084184, TIME: 28180.6s
STEP [79540], EPOCH [48/100], ITER [1238/1666] 
LOSS: 0.00075126, TIME: 28187.9s
STEP [79560], EPOCH [48/100], ITER [1258/1666] 
LOSS: 0.00056089, TIME: 28195.2s
STEP [79580], EPOCH [48/100], ITER [1278/1666] 
LOSS: 0.00102858, TIME: 28202.5s
STEP [79600], EPOCH [48/100], ITER [1298/1666] 
LOSS: 0.00106291, TIME: 28209.8s
STEP [79620], EPOCH [48/100], ITER [1318/1666] 
LOSS: 0.00079743, TIME: 28217.1s
STEP [79640], EPOCH [48/100], ITER [1338/1666] 
LOSS: 0.00063432, TIME: 28224.4s
STEP [79660], EPOCH [48/100], ITER [1358/1666] 
LOSS: 0.00050275, TIME: 28231.7s
STEP [79680], EPOCH [48/100], ITER [1378/1666] 
LOSS: 0.00092890, TIME: 28239.0s
STEP [79700], EPOCH [48/100], ITER [1398/1666] 
LOSS: 0.00079829, TIME: 28246.3s
STEP [79720], EPOCH [48/100], ITER [1418/1666] 
LOSS: 0.00083414, TIME: 28253.6s
STEP [79740], EPOCH [48/100], ITER [1438/1666] 
LOSS: 0.00091937, TIME: 28260.9s
STEP [79760], EPOCH [48/100], ITER [1458/1666] 
LOSS: 0.00087321, TIME: 28268.2s
STEP [79780], EPOCH [48/100], ITER [1478/1666] 
LOSS: 0.00118078, TIME: 28275.4s
STEP [79800], EPOCH [48/100], ITER [1498/1666] 
LOSS: 0.00088302, TIME: 28282.7s
STEP [79820], EPOCH [48/100], ITER [1518/1666] 
LOSS: 0.00104107, TIME: 28290.0s
STEP [79840], EPOCH [48/100], ITER [1538/1666] 
LOSS: 0.00097980, TIME: 28297.3s
STEP [79860], EPOCH [48/100], ITER [1558/1666] 
LOSS: 0.00103115, TIME: 28304.6s
STEP [79880], EPOCH [48/100], ITER [1578/1666] 
LOSS: 0.00096811, TIME: 28312.0s
STEP [79900], EPOCH [48/100], ITER [1598/1666] 
LOSS: 0.00042299, TIME: 28319.3s
STEP [79920], EPOCH [48/100], ITER [1618/1666] 
LOSS: 0.00078795, TIME: 28326.6s
STEP [79940], EPOCH [48/100], ITER [1638/1666] 
LOSS: 0.00076691, TIME: 28333.9s
STEP [79960], EPOCH [48/100], ITER [1658/1666] 
LOSS: 0.00075620, TIME: 28341.2s
STEP [79980], EPOCH [49/100], ITER [12/1666] 
LOSS: 0.00064091, TIME: 28357.6s
STEP [80000], EPOCH [49/100], ITER [32/1666] 
LOSS: 0.00140772, TIME: 28365.0s
STEP [80020], EPOCH [49/100], ITER [52/1666] 
LOSS: 0.00076228, TIME: 28372.3s
STEP [80040], EPOCH [49/100], ITER [72/1666] 
LOSS: 0.00050684, TIME: 28379.6s
STEP [80060], EPOCH [49/100], ITER [92/1666] 
LOSS: 0.00082391, TIME: 28386.9s
STEP [80080], EPOCH [49/100], ITER [112/1666] 
LOSS: 0.00099779, TIME: 28394.2s
STEP [80100], EPOCH [49/100], ITER [132/1666] 
LOSS: 0.00101072, TIME: 28401.5s
STEP [80120], EPOCH [49/100], ITER [152/1666] 
LOSS: 0.00051623, TIME: 28408.9s
STEP [80140], EPOCH [49/100], ITER [172/1666] 
LOSS: 0.00069078, TIME: 28416.2s
STEP [80160], EPOCH [49/100], ITER [192/1666] 
LOSS: 0.00080819, TIME: 28423.5s
STEP [80180], EPOCH [49/100], ITER [212/1666] 
LOSS: 0.00059532, TIME: 28430.8s
STEP [80200], EPOCH [49/100], ITER [232/1666] 
LOSS: 0.00094273, TIME: 28438.0s
STEP [80220], EPOCH [49/100], ITER [252/1666] 
LOSS: 0.00071515, TIME: 28445.3s
STEP [80240], EPOCH [49/100], ITER [272/1666] 
LOSS: 0.00065713, TIME: 28452.6s
STEP [80260], EPOCH [49/100], ITER [292/1666] 
LOSS: 0.00124815, TIME: 28459.9s
STEP [80280], EPOCH [49/100], ITER [312/1666] 
LOSS: 0.00092001, TIME: 28467.2s
STEP [80300], EPOCH [49/100], ITER [332/1666] 
LOSS: 0.00087029, TIME: 28474.5s
STEP [80320], EPOCH [49/100], ITER [352/1666] 
LOSS: 0.00082377, TIME: 28481.9s
STEP [80340], EPOCH [49/100], ITER [372/1666] 
LOSS: 0.00105778, TIME: 28489.2s
STEP [80360], EPOCH [49/100], ITER [392/1666] 
LOSS: 0.00084569, TIME: 28496.5s
STEP [80380], EPOCH [49/100], ITER [412/1666] 
LOSS: 0.00084384, TIME: 28503.8s
STEP [80400], EPOCH [49/100], ITER [432/1666] 
LOSS: 0.00112985, TIME: 28511.0s
STEP [80420], EPOCH [49/100], ITER [452/1666] 
LOSS: 0.00079178, TIME: 28518.4s
STEP [80440], EPOCH [49/100], ITER [472/1666] 
LOSS: 0.00044545, TIME: 28525.6s
STEP [80460], EPOCH [49/100], ITER [492/1666] 
LOSS: 0.00116201, TIME: 28533.0s
STEP [80480], EPOCH [49/100], ITER [512/1666] 
LOSS: 0.00092083, TIME: 28540.2s
STEP [80500], EPOCH [49/100], ITER [532/1666] 
LOSS: 0.00078891, TIME: 28547.5s
STEP [80520], EPOCH [49/100], ITER [552/1666] 
LOSS: 0.00063630, TIME: 28554.8s
STEP [80540], EPOCH [49/100], ITER [572/1666] 
LOSS: 0.00169145, TIME: 28562.2s
STEP [80560], EPOCH [49/100], ITER [592/1666] 
LOSS: 0.00070120, TIME: 28569.5s
STEP [80580], EPOCH [49/100], ITER [612/1666] 
LOSS: 0.00070389, TIME: 28576.8s
STEP [80600], EPOCH [49/100], ITER [632/1666] 
LOSS: 0.00066191, TIME: 28584.0s
STEP [80620], EPOCH [49/100], ITER [652/1666] 
LOSS: 0.00103762, TIME: 28591.3s
STEP [80640], EPOCH [49/100], ITER [672/1666] 
LOSS: 0.00107862, TIME: 28598.7s
STEP [80660], EPOCH [49/100], ITER [692/1666] 
LOSS: 0.00076491, TIME: 28606.0s
STEP [80680], EPOCH [49/100], ITER [712/1666] 
LOSS: 0.00073415, TIME: 28613.3s
STEP [80700], EPOCH [49/100], ITER [732/1666] 
LOSS: 0.00087734, TIME: 28620.6s
STEP [80720], EPOCH [49/100], ITER [752/1666] 
LOSS: 0.00075457, TIME: 28627.9s
STEP [80740], EPOCH [49/100], ITER [772/1666] 
LOSS: 0.00103959, TIME: 28635.2s
STEP [80760], EPOCH [49/100], ITER [792/1666] 
LOSS: 0.00117662, TIME: 28642.5s
STEP [80780], EPOCH [49/100], ITER [812/1666] 
LOSS: 0.00079655, TIME: 28649.8s
STEP [80800], EPOCH [49/100], ITER [832/1666] 
LOSS: 0.00128333, TIME: 28657.1s
STEP [80820], EPOCH [49/100], ITER [852/1666] 
LOSS: 0.00077073, TIME: 28664.4s
STEP [80840], EPOCH [49/100], ITER [872/1666] 
LOSS: 0.00093570, TIME: 28671.6s
STEP [80860], EPOCH [49/100], ITER [892/1666] 
LOSS: 0.00056347, TIME: 28679.0s
STEP [80880], EPOCH [49/100], ITER [912/1666] 
LOSS: 0.00074518, TIME: 28686.3s
STEP [80900], EPOCH [49/100], ITER [932/1666] 
LOSS: 0.00084648, TIME: 28693.6s
STEP [80920], EPOCH [49/100], ITER [952/1666] 
LOSS: 0.00117272, TIME: 28700.9s
STEP [80940], EPOCH [49/100], ITER [972/1666] 
LOSS: 0.00071247, TIME: 28708.2s
STEP [80960], EPOCH [49/100], ITER [992/1666] 
LOSS: 0.00067970, TIME: 28715.5s
STEP [80980], EPOCH [49/100], ITER [1012/1666] 
LOSS: 0.00104628, TIME: 28722.9s
STEP [81000], EPOCH [49/100], ITER [1032/1666] 
LOSS: 0.00073636, TIME: 28730.1s
STEP [81020], EPOCH [49/100], ITER [1052/1666] 
LOSS: 0.00069555, TIME: 28737.4s
STEP [81040], EPOCH [49/100], ITER [1072/1666] 
LOSS: 0.00101762, TIME: 28744.7s
STEP [81060], EPOCH [49/100], ITER [1092/1666] 
LOSS: 0.00091896, TIME: 28752.1s
STEP [81080], EPOCH [49/100], ITER [1112/1666] 
LOSS: 0.00088376, TIME: 28759.4s
STEP [81100], EPOCH [49/100], ITER [1132/1666] 
LOSS: 0.00092742, TIME: 28766.7s
STEP [81120], EPOCH [49/100], ITER [1152/1666] 
LOSS: 0.00059985, TIME: 28773.9s
STEP [81140], EPOCH [49/100], ITER [1172/1666] 
LOSS: 0.00059032, TIME: 28781.3s
STEP [81160], EPOCH [49/100], ITER [1192/1666] 
LOSS: 0.00064763, TIME: 28788.6s
STEP [81180], EPOCH [49/100], ITER [1212/1666] 
LOSS: 0.00069820, TIME: 28795.9s
STEP [81200], EPOCH [49/100], ITER [1232/1666] 
LOSS: 0.00083900, TIME: 28803.2s
STEP [81220], EPOCH [49/100], ITER [1252/1666] 
LOSS: 0.00065013, TIME: 28810.5s
STEP [81240], EPOCH [49/100], ITER [1272/1666] 
LOSS: 0.00055278, TIME: 28817.8s
STEP [81260], EPOCH [49/100], ITER [1292/1666] 
LOSS: 0.00106302, TIME: 28825.1s
STEP [81280], EPOCH [49/100], ITER [1312/1666] 
LOSS: 0.00086662, TIME: 28832.4s
STEP [81300], EPOCH [49/100], ITER [1332/1666] 
LOSS: 0.00080336, TIME: 28839.7s
STEP [81320], EPOCH [49/100], ITER [1352/1666] 
LOSS: 0.00064038, TIME: 28847.1s
STEP [81340], EPOCH [49/100], ITER [1372/1666] 
LOSS: 0.00064483, TIME: 28854.3s
STEP [81360], EPOCH [49/100], ITER [1392/1666] 
LOSS: 0.00108880, TIME: 28861.6s
STEP [81380], EPOCH [49/100], ITER [1412/1666] 
LOSS: 0.00100263, TIME: 28868.9s
STEP [81400], EPOCH [49/100], ITER [1432/1666] 
LOSS: 0.00054609, TIME: 28876.3s
STEP [81420], EPOCH [49/100], ITER [1452/1666] 
LOSS: 0.00080435, TIME: 28883.6s
STEP [81440], EPOCH [49/100], ITER [1472/1666] 
LOSS: 0.00056465, TIME: 28890.9s
STEP [81460], EPOCH [49/100], ITER [1492/1666] 
LOSS: 0.00062090, TIME: 28895.8s
STEP [81480], EPOCH [49/100], ITER [1512/1666] 
LOSS: 0.00042379, TIME: 28900.9s
STEP [81500], EPOCH [49/100], ITER [1532/1666] 
LOSS: 0.00079233, TIME: 28908.2s
STEP [81520], EPOCH [49/100], ITER [1552/1666] 
LOSS: 0.00055535, TIME: 28915.5s
STEP [81540], EPOCH [49/100], ITER [1572/1666] 
LOSS: 0.00069272, TIME: 28922.9s
STEP [81560], EPOCH [49/100], ITER [1592/1666] 
LOSS: 0.00061403, TIME: 28930.2s
STEP [81580], EPOCH [49/100], ITER [1612/1666] 
LOSS: 0.00057630, TIME: 28937.5s
STEP [81600], EPOCH [49/100], ITER [1632/1666] 
LOSS: 0.00076961, TIME: 28944.8s
STEP [81620], EPOCH [49/100], ITER [1652/1666] 
LOSS: 0.00097864, TIME: 28952.1s
STEP [81640], EPOCH [50/100], ITER [6/1666] 
LOSS: 0.00060781, TIME: 28968.4s
STEP [81660], EPOCH [50/100], ITER [26/1666] 
LOSS: 0.00075683, TIME: 28975.7s
STEP [81680], EPOCH [50/100], ITER [46/1666] 
LOSS: 0.00081415, TIME: 28983.0s
STEP [81700], EPOCH [50/100], ITER [66/1666] 
LOSS: 0.00107764, TIME: 28990.3s
STEP [81720], EPOCH [50/100], ITER [86/1666] 
LOSS: 0.00089141, TIME: 28997.6s
STEP [81740], EPOCH [50/100], ITER [106/1666] 
LOSS: 0.00090154, TIME: 29004.9s
STEP [81760], EPOCH [50/100], ITER [126/1666] 
LOSS: 0.00106963, TIME: 29012.2s
STEP [81780], EPOCH [50/100], ITER [146/1666] 
LOSS: 0.00083941, TIME: 29019.5s
STEP [81800], EPOCH [50/100], ITER [166/1666] 
LOSS: 0.00049195, TIME: 29026.9s
STEP [81820], EPOCH [50/100], ITER [186/1666] 
LOSS: 0.00078298, TIME: 29034.2s
STEP [81840], EPOCH [50/100], ITER [206/1666] 
LOSS: 0.00069513, TIME: 29041.5s
STEP [81860], EPOCH [50/100], ITER [226/1666] 
LOSS: 0.00114629, TIME: 29048.8s
STEP [81880], EPOCH [50/100], ITER [246/1666] 
LOSS: 0.00057056, TIME: 29056.1s
STEP [81900], EPOCH [50/100], ITER [266/1666] 
LOSS: 0.00089058, TIME: 29063.4s
STEP [81920], EPOCH [50/100], ITER [286/1666] 
LOSS: 0.00081674, TIME: 29070.7s
STEP [81940], EPOCH [50/100], ITER [306/1666] 
LOSS: 0.00111819, TIME: 29078.0s
STEP [81960], EPOCH [50/100], ITER [326/1666] 
LOSS: 0.00088488, TIME: 29085.3s
STEP [81980], EPOCH [50/100], ITER [346/1666] 
LOSS: 0.00058530, TIME: 29092.6s
STEP [82000], EPOCH [50/100], ITER [366/1666] 
LOSS: 0.00151275, TIME: 29100.0s
STEP [82020], EPOCH [50/100], ITER [386/1666] 
LOSS: 0.00084028, TIME: 29107.4s
STEP [82040], EPOCH [50/100], ITER [406/1666] 
LOSS: 0.00053415, TIME: 29114.7s
STEP [82060], EPOCH [50/100], ITER [426/1666] 
LOSS: 0.00064908, TIME: 29122.0s
STEP [82080], EPOCH [50/100], ITER [446/1666] 
LOSS: 0.00080835, TIME: 29129.3s
STEP [82100], EPOCH [50/100], ITER [466/1666] 
LOSS: 0.00136106, TIME: 29136.6s
STEP [82120], EPOCH [50/100], ITER [486/1666] 
LOSS: 0.00093151, TIME: 29143.9s
STEP [82140], EPOCH [50/100], ITER [506/1666] 
LOSS: 0.00071031, TIME: 29151.2s
STEP [82160], EPOCH [50/100], ITER [526/1666] 
LOSS: 0.00041716, TIME: 29158.6s
STEP [82180], EPOCH [50/100], ITER [546/1666] 
LOSS: 0.00079023, TIME: 29165.9s
STEP [82200], EPOCH [50/100], ITER [566/1666] 
LOSS: 0.00083548, TIME: 29173.2s
STEP [82220], EPOCH [50/100], ITER [586/1666] 
LOSS: 0.00061991, TIME: 29180.5s
STEP [82240], EPOCH [50/100], ITER [606/1666] 
LOSS: 0.00103726, TIME: 29187.9s
STEP [82260], EPOCH [50/100], ITER [626/1666] 
LOSS: 0.00091392, TIME: 29195.2s
STEP [82280], EPOCH [50/100], ITER [646/1666] 
LOSS: 0.00085543, TIME: 29202.5s
STEP [82300], EPOCH [50/100], ITER [666/1666] 
LOSS: 0.00076231, TIME: 29209.7s
STEP [82320], EPOCH [50/100], ITER [686/1666] 
LOSS: 0.00075485, TIME: 29217.0s
STEP [82340], EPOCH [50/100], ITER [706/1666] 
LOSS: 0.00119400, TIME: 29224.4s
STEP [82360], EPOCH [50/100], ITER [726/1666] 
LOSS: 0.00067539, TIME: 29231.7s
STEP [82380], EPOCH [50/100], ITER [746/1666] 
LOSS: 0.00067025, TIME: 29239.0s
STEP [82400], EPOCH [50/100], ITER [766/1666] 
LOSS: 0.00076350, TIME: 29246.3s
STEP [82420], EPOCH [50/100], ITER [786/1666] 
LOSS: 0.00085547, TIME: 29253.6s
STEP [82440], EPOCH [50/100], ITER [806/1666] 
LOSS: 0.00057545, TIME: 29260.9s
STEP [82460], EPOCH [50/100], ITER [826/1666] 
LOSS: 0.00048836, TIME: 29268.2s
STEP [82480], EPOCH [50/100], ITER [846/1666] 
LOSS: 0.00060796, TIME: 29275.5s
STEP [82500], EPOCH [50/100], ITER [866/1666] 
LOSS: 0.00056566, TIME: 29282.8s
STEP [82520], EPOCH [50/100], ITER [886/1666] 
LOSS: 0.00092378, TIME: 29290.0s
STEP [82540], EPOCH [50/100], ITER [906/1666] 
LOSS: 0.00060043, TIME: 29297.3s
STEP [82560], EPOCH [50/100], ITER [926/1666] 
LOSS: 0.00104123, TIME: 29304.6s
STEP [82580], EPOCH [50/100], ITER [946/1666] 
LOSS: 0.00121146, TIME: 29312.0s
STEP [82600], EPOCH [50/100], ITER [966/1666] 
LOSS: 0.00109813, TIME: 29319.3s
STEP [82620], EPOCH [50/100], ITER [986/1666] 
LOSS: 0.00077570, TIME: 29326.6s
STEP [82640], EPOCH [50/100], ITER [1006/1666] 
LOSS: 0.00050502, TIME: 29334.0s
STEP [82660], EPOCH [50/100], ITER [1026/1666] 
LOSS: 0.00052878, TIME: 29341.3s
STEP [82680], EPOCH [50/100], ITER [1046/1666] 
LOSS: 0.00086725, TIME: 29348.6s
STEP [82700], EPOCH [50/100], ITER [1066/1666] 
LOSS: 0.00058203, TIME: 29356.0s
STEP [82720], EPOCH [50/100], ITER [1086/1666] 
LOSS: 0.00108818, TIME: 29363.2s
STEP [82740], EPOCH [50/100], ITER [1106/1666] 
LOSS: 0.00104077, TIME: 29370.6s
STEP [82760], EPOCH [50/100], ITER [1126/1666] 
LOSS: 0.00097076, TIME: 29377.9s
STEP [82780], EPOCH [50/100], ITER [1146/1666] 
LOSS: 0.00079881, TIME: 29385.2s
STEP [82800], EPOCH [50/100], ITER [1166/1666] 
LOSS: 0.00100085, TIME: 29392.5s
STEP [82820], EPOCH [50/100], ITER [1186/1666] 
LOSS: 0.00107889, TIME: 29399.8s
STEP [82840], EPOCH [50/100], ITER [1206/1666] 
LOSS: 0.00204633, TIME: 29407.1s
STEP [82860], EPOCH [50/100], ITER [1226/1666] 
LOSS: 0.00081721, TIME: 29414.4s
STEP [82880], EPOCH [50/100], ITER [1246/1666] 
LOSS: 0.00097117, TIME: 29421.7s
STEP [82900], EPOCH [50/100], ITER [1266/1666] 
LOSS: 0.00080573, TIME: 29429.0s
STEP [82920], EPOCH [50/100], ITER [1286/1666] 
LOSS: 0.00090359, TIME: 29436.4s
STEP [82940], EPOCH [50/100], ITER [1306/1666] 
LOSS: 0.00089821, TIME: 29443.7s
STEP [82960], EPOCH [50/100], ITER [1326/1666] 
LOSS: 0.00109359, TIME: 29451.0s
STEP [82980], EPOCH [50/100], ITER [1346/1666] 
LOSS: 0.00074542, TIME: 29458.3s
STEP [83000], EPOCH [50/100], ITER [1366/1666] 
LOSS: 0.00075377, TIME: 29465.6s
STEP [83020], EPOCH [50/100], ITER [1386/1666] 
LOSS: 0.00114018, TIME: 29472.9s
STEP [83040], EPOCH [50/100], ITER [1406/1666] 
LOSS: 0.00073110, TIME: 29480.2s
STEP [83060], EPOCH [50/100], ITER [1426/1666] 
LOSS: 0.00081443, TIME: 29487.6s
STEP [83080], EPOCH [50/100], ITER [1446/1666] 
LOSS: 0.00081204, TIME: 29494.9s
STEP [83100], EPOCH [50/100], ITER [1466/1666] 
LOSS: 0.00045837, TIME: 29502.2s
STEP [83120], EPOCH [50/100], ITER [1486/1666] 
LOSS: 0.00077106, TIME: 29509.5s
STEP [83140], EPOCH [50/100], ITER [1506/1666] 
LOSS: 0.00057485, TIME: 29516.8s
STEP [83160], EPOCH [50/100], ITER [1526/1666] 
LOSS: 0.00069400, TIME: 29524.1s
STEP [83180], EPOCH [50/100], ITER [1546/1666] 
LOSS: 0.00094651, TIME: 29531.4s
STEP [83200], EPOCH [50/100], ITER [1566/1666] 
LOSS: 0.00049449, TIME: 29538.7s
STEP [83220], EPOCH [50/100], ITER [1586/1666] 
LOSS: 0.00107386, TIME: 29546.0s
STEP [83240], EPOCH [50/100], ITER [1606/1666] 
LOSS: 0.00087363, TIME: 29553.4s
STEP [83260], EPOCH [50/100], ITER [1626/1666] 
LOSS: 0.00076828, TIME: 29560.7s
STEP [83280], EPOCH [50/100], ITER [1646/1666] 
LOSS: 0.00135669, TIME: 29567.9s
STEP [83300], EPOCH [50/100], ITER [1666/1666] 
LOSS: 0.00041618, TIME: 29575.1s
STEP [83320], EPOCH [51/100], ITER [20/1666] 
LOSS: 0.00083092, TIME: 29591.6s
STEP [83340], EPOCH [51/100], ITER [40/1666] 
LOSS: 0.00099837, TIME: 29598.9s
STEP [83360], EPOCH [51/100], ITER [60/1666] 
LOSS: 0.00084823, TIME: 29606.2s
STEP [83380], EPOCH [51/100], ITER [80/1666] 
LOSS: 0.00116961, TIME: 29613.5s
STEP [83400], EPOCH [51/100], ITER [100/1666] 
LOSS: 0.00100515, TIME: 29620.8s
STEP [83420], EPOCH [51/100], ITER [120/1666] 
LOSS: 0.00074396, TIME: 29628.1s
STEP [83440], EPOCH [51/100], ITER [140/1666] 
LOSS: 0.00121974, TIME: 29635.5s
STEP [83460], EPOCH [51/100], ITER [160/1666] 
LOSS: 0.00122317, TIME: 29642.8s
STEP [83480], EPOCH [51/100], ITER [180/1666] 
LOSS: 0.00084096, TIME: 29650.1s
STEP [83500], EPOCH [51/100], ITER [200/1666] 
LOSS: 0.00062867, TIME: 29657.4s
STEP [83520], EPOCH [51/100], ITER [220/1666] 
LOSS: 0.00086378, TIME: 29664.7s
STEP [83540], EPOCH [51/100], ITER [240/1666] 
LOSS: 0.00057465, TIME: 29671.9s
STEP [83560], EPOCH [51/100], ITER [260/1666] 
LOSS: 0.00060864, TIME: 29679.2s
STEP [83580], EPOCH [51/100], ITER [280/1666] 
LOSS: 0.00064324, TIME: 29686.5s
STEP [83600], EPOCH [51/100], ITER [300/1666] 
LOSS: 0.00074783, TIME: 29693.9s
STEP [83620], EPOCH [51/100], ITER [320/1666] 
LOSS: 0.00064507, TIME: 29701.2s
STEP [83640], EPOCH [51/100], ITER [340/1666] 
LOSS: 0.00084643, TIME: 29708.5s
STEP [83660], EPOCH [51/100], ITER [360/1666] 
LOSS: 0.00079209, TIME: 29715.8s
STEP [83680], EPOCH [51/100], ITER [380/1666] 
LOSS: 0.00067674, TIME: 29723.1s
STEP [83700], EPOCH [51/100], ITER [400/1666] 
LOSS: 0.00090124, TIME: 29730.5s
STEP [83720], EPOCH [51/100], ITER [420/1666] 
LOSS: 0.00057273, TIME: 29737.8s
STEP [83740], EPOCH [51/100], ITER [440/1666] 
LOSS: 0.00088902, TIME: 29745.1s
STEP [83760], EPOCH [51/100], ITER [460/1666] 
LOSS: 0.00102407, TIME: 29752.3s
STEP [83780], EPOCH [51/100], ITER [480/1666] 
LOSS: 0.00081585, TIME: 29759.7s
STEP [83800], EPOCH [51/100], ITER [500/1666] 
LOSS: 0.00056729, TIME: 29767.0s
STEP [83820], EPOCH [51/100], ITER [520/1666] 
LOSS: 0.00094554, TIME: 29774.3s
STEP [83840], EPOCH [51/100], ITER [540/1666] 
LOSS: 0.00077797, TIME: 29781.6s
STEP [83860], EPOCH [51/100], ITER [560/1666] 
LOSS: 0.00110571, TIME: 29788.9s
STEP [83880], EPOCH [51/100], ITER [580/1666] 
LOSS: 0.00084594, TIME: 29796.2s
STEP [83900], EPOCH [51/100], ITER [600/1666] 
LOSS: 0.00058976, TIME: 29803.5s
STEP [83920], EPOCH [51/100], ITER [620/1666] 
LOSS: 0.00093886, TIME: 29810.8s
STEP [83940], EPOCH [51/100], ITER [640/1666] 
LOSS: 0.00077973, TIME: 29818.1s
STEP [83960], EPOCH [51/100], ITER [660/1666] 
LOSS: 0.00071769, TIME: 29825.4s
STEP [83980], EPOCH [51/100], ITER [680/1666] 
LOSS: 0.00100236, TIME: 29832.7s
STEP [84000], EPOCH [51/100], ITER [700/1666] 
LOSS: 0.00082652, TIME: 29840.0s
STEP [84020], EPOCH [51/100], ITER [720/1666] 
LOSS: 0.00071392, TIME: 29847.4s
STEP [84040], EPOCH [51/100], ITER [740/1666] 
LOSS: 0.00075117, TIME: 29854.7s
STEP [84060], EPOCH [51/100], ITER [760/1666] 
LOSS: 0.00120135, TIME: 29862.0s
STEP [84080], EPOCH [51/100], ITER [780/1666] 
LOSS: 0.00117881, TIME: 29869.3s
STEP [84100], EPOCH [51/100], ITER [800/1666] 
LOSS: 0.00062060, TIME: 29876.6s
STEP [84120], EPOCH [51/100], ITER [820/1666] 
LOSS: 0.00074180, TIME: 29884.0s
STEP [84140], EPOCH [51/100], ITER [840/1666] 
LOSS: 0.00068048, TIME: 29891.3s
STEP [84160], EPOCH [51/100], ITER [860/1666] 
LOSS: 0.00051247, TIME: 29898.6s
STEP [84180], EPOCH [51/100], ITER [880/1666] 
LOSS: 0.00091385, TIME: 29905.9s
STEP [84200], EPOCH [51/100], ITER [900/1666] 
LOSS: 0.00081654, TIME: 29913.2s
STEP [84220], EPOCH [51/100], ITER [920/1666] 
LOSS: 0.00108206, TIME: 29920.5s
STEP [84240], EPOCH [51/100], ITER [940/1666] 
LOSS: 0.00060439, TIME: 29927.8s
STEP [84260], EPOCH [51/100], ITER [960/1666] 
LOSS: 0.00092487, TIME: 29935.1s
STEP [84280], EPOCH [51/100], ITER [980/1666] 
LOSS: 0.00067399, TIME: 29942.4s
STEP [84300], EPOCH [51/100], ITER [1000/1666] 
LOSS: 0.00093072, TIME: 29949.7s
STEP [84320], EPOCH [51/100], ITER [1020/1666] 
LOSS: 0.00096612, TIME: 29957.0s
STEP [84340], EPOCH [51/100], ITER [1040/1666] 
LOSS: 0.00136261, TIME: 29964.3s
STEP [84360], EPOCH [51/100], ITER [1060/1666] 
LOSS: 0.00071730, TIME: 29971.7s
STEP [84380], EPOCH [51/100], ITER [1080/1666] 
LOSS: 0.00073241, TIME: 29979.0s
STEP [84400], EPOCH [51/100], ITER [1100/1666] 
LOSS: 0.00069779, TIME: 29986.2s
STEP [84420], EPOCH [51/100], ITER [1120/1666] 
LOSS: 0.00070552, TIME: 29993.5s
STEP [84440], EPOCH [51/100], ITER [1140/1666] 
LOSS: 0.00083998, TIME: 30000.8s
STEP [84460], EPOCH [51/100], ITER [1160/1666] 
LOSS: 0.00080301, TIME: 30008.1s
STEP [84480], EPOCH [51/100], ITER [1180/1666] 
LOSS: 0.00066218, TIME: 30015.5s
STEP [84500], EPOCH [51/100], ITER [1200/1666] 
LOSS: 0.00117563, TIME: 30022.8s
STEP [84520], EPOCH [51/100], ITER [1220/1666] 
LOSS: 0.00096209, TIME: 30030.1s
STEP [84540], EPOCH [51/100], ITER [1240/1666] 
LOSS: 0.00104063, TIME: 30037.5s
STEP [84560], EPOCH [51/100], ITER [1260/1666] 
LOSS: 0.00089283, TIME: 30044.8s
STEP [84580], EPOCH [51/100], ITER [1280/1666] 
LOSS: 0.00058939, TIME: 30052.1s
STEP [84600], EPOCH [51/100], ITER [1300/1666] 
LOSS: 0.00070866, TIME: 30059.4s
STEP [84620], EPOCH [51/100], ITER [1320/1666] 
LOSS: 0.00058984, TIME: 30066.7s
STEP [84640], EPOCH [51/100], ITER [1340/1666] 
LOSS: 0.00100879, TIME: 30074.1s
STEP [84660], EPOCH [51/100], ITER [1360/1666] 
LOSS: 0.00065215, TIME: 30081.4s
STEP [84680], EPOCH [51/100], ITER [1380/1666] 
LOSS: 0.00110361, TIME: 30088.7s
STEP [84700], EPOCH [51/100], ITER [1400/1666] 
LOSS: 0.00084380, TIME: 30096.0s
STEP [84720], EPOCH [51/100], ITER [1420/1666] 
LOSS: 0.00084086, TIME: 30103.3s
STEP [84740], EPOCH [51/100], ITER [1440/1666] 
LOSS: 0.00061910, TIME: 30110.6s
STEP [84760], EPOCH [51/100], ITER [1460/1666] 
LOSS: 0.00099723, TIME: 30117.9s
STEP [84780], EPOCH [51/100], ITER [1480/1666] 
LOSS: 0.00073939, TIME: 30125.2s
STEP [84800], EPOCH [51/100], ITER [1500/1666] 
LOSS: 0.00085579, TIME: 30132.6s
STEP [84820], EPOCH [51/100], ITER [1520/1666] 
LOSS: 0.00067197, TIME: 30139.8s
STEP [84840], EPOCH [51/100], ITER [1540/1666] 
LOSS: 0.00052947, TIME: 30147.2s
STEP [84860], EPOCH [51/100], ITER [1560/1666] 
LOSS: 0.00081650, TIME: 30154.5s
STEP [84880], EPOCH [51/100], ITER [1580/1666] 
LOSS: 0.00151554, TIME: 30161.8s
STEP [84900], EPOCH [51/100], ITER [1600/1666] 
LOSS: 0.00091157, TIME: 30169.1s
STEP [84920], EPOCH [51/100], ITER [1620/1666] 
LOSS: 0.00081669, TIME: 30176.4s
STEP [84940], EPOCH [51/100], ITER [1640/1666] 
LOSS: 0.00130909, TIME: 30183.7s
STEP [84960], EPOCH [51/100], ITER [1660/1666] 
LOSS: 0.00095949, TIME: 30191.1s
STEP [84980], EPOCH [52/100], ITER [14/1666] 
LOSS: 0.00093895, TIME: 30207.3s
STEP [85000], EPOCH [52/100], ITER [34/1666] 
LOSS: 0.00067768, TIME: 30214.7s
STEP [85020], EPOCH [52/100], ITER [54/1666] 
LOSS: 0.00097977, TIME: 30222.0s
STEP [85040], EPOCH [52/100], ITER [74/1666] 
LOSS: 0.00061147, TIME: 30229.3s
STEP [85060], EPOCH [52/100], ITER [94/1666] 
LOSS: 0.00110706, TIME: 30236.7s
STEP [85080], EPOCH [52/100], ITER [114/1666] 
LOSS: 0.00094645, TIME: 30244.0s
STEP [85100], EPOCH [52/100], ITER [134/1666] 
LOSS: 0.00120874, TIME: 30251.3s
STEP [85120], EPOCH [52/100], ITER [154/1666] 
LOSS: 0.00061157, TIME: 30258.6s
STEP [85140], EPOCH [52/100], ITER [174/1666] 
LOSS: 0.00085262, TIME: 30265.9s
STEP [85160], EPOCH [52/100], ITER [194/1666] 
LOSS: 0.00082267, TIME: 30273.3s
STEP [85180], EPOCH [52/100], ITER [214/1666] 
LOSS: 0.00080586, TIME: 30280.6s
STEP [85200], EPOCH [52/100], ITER [234/1666] 
LOSS: 0.00080168, TIME: 30287.8s
STEP [85220], EPOCH [52/100], ITER [254/1666] 
LOSS: 0.00104575, TIME: 30295.1s
STEP [85240], EPOCH [52/100], ITER [274/1666] 
LOSS: 0.00110577, TIME: 30302.5s
STEP [85260], EPOCH [52/100], ITER [294/1666] 
LOSS: 0.00088468, TIME: 30309.8s
STEP [85280], EPOCH [52/100], ITER [314/1666] 
LOSS: 0.00044367, TIME: 30317.1s
STEP [85300], EPOCH [52/100], ITER [334/1666] 
LOSS: 0.00052173, TIME: 30324.4s
STEP [85320], EPOCH [52/100], ITER [354/1666] 
LOSS: 0.00117390, TIME: 30331.7s
STEP [85340], EPOCH [52/100], ITER [374/1666] 
LOSS: 0.00110862, TIME: 30339.0s
STEP [85360], EPOCH [52/100], ITER [394/1666] 
LOSS: 0.00050775, TIME: 30346.2s
STEP [85380], EPOCH [52/100], ITER [414/1666] 
LOSS: 0.00062848, TIME: 30353.6s
STEP [85400], EPOCH [52/100], ITER [434/1666] 
LOSS: 0.00060561, TIME: 30360.8s
STEP [85420], EPOCH [52/100], ITER [454/1666] 
LOSS: 0.00064049, TIME: 30368.1s
STEP [85440], EPOCH [52/100], ITER [474/1666] 
LOSS: 0.00046835, TIME: 30375.4s
STEP [85460], EPOCH [52/100], ITER [494/1666] 
LOSS: 0.00113017, TIME: 30382.7s
STEP [85480], EPOCH [52/100], ITER [514/1666] 
LOSS: 0.00065095, TIME: 30390.0s
STEP [85500], EPOCH [52/100], ITER [534/1666] 
LOSS: 0.00040469, TIME: 30397.3s
STEP [85520], EPOCH [52/100], ITER [554/1666] 
LOSS: 0.00128264, TIME: 30404.6s
STEP [85540], EPOCH [52/100], ITER [574/1666] 
LOSS: 0.00059605, TIME: 30411.9s
STEP [85560], EPOCH [52/100], ITER [594/1666] 
LOSS: 0.00112286, TIME: 30419.2s
STEP [85580], EPOCH [52/100], ITER [614/1666] 
LOSS: 0.00093582, TIME: 30426.5s
STEP [85600], EPOCH [52/100], ITER [634/1666] 
LOSS: 0.00113634, TIME: 30433.8s
STEP [85620], EPOCH [52/100], ITER [654/1666] 
LOSS: 0.00095019, TIME: 30441.2s
STEP [85640], EPOCH [52/100], ITER [674/1666] 
LOSS: 0.00098153, TIME: 30445.8s
STEP [85660], EPOCH [52/100], ITER [694/1666] 
LOSS: 0.00065628, TIME: 30450.6s
STEP [85680], EPOCH [52/100], ITER [714/1666] 
LOSS: 0.00084651, TIME: 30458.0s
STEP [85700], EPOCH [52/100], ITER [734/1666] 
LOSS: 0.00079904, TIME: 30465.3s
STEP [85720], EPOCH [52/100], ITER [754/1666] 
LOSS: 0.00100607, TIME: 30472.6s
STEP [85740], EPOCH [52/100], ITER [774/1666] 
LOSS: 0.00063678, TIME: 30479.9s
STEP [85760], EPOCH [52/100], ITER [794/1666] 
LOSS: 0.00067749, TIME: 30487.2s
STEP [85780], EPOCH [52/100], ITER [814/1666] 
LOSS: 0.00056125, TIME: 30494.5s
STEP [85800], EPOCH [52/100], ITER [834/1666] 
LOSS: 0.00086077, TIME: 30501.8s
STEP [85820], EPOCH [52/100], ITER [854/1666] 
LOSS: 0.00065336, TIME: 30509.1s
STEP [85840], EPOCH [52/100], ITER [874/1666] 
LOSS: 0.00061518, TIME: 30516.4s
STEP [85860], EPOCH [52/100], ITER [894/1666] 
LOSS: 0.00084522, TIME: 30523.7s
STEP [85880], EPOCH [52/100], ITER [914/1666] 
LOSS: 0.00059987, TIME: 30531.0s
STEP [85900], EPOCH [52/100], ITER [934/1666] 
LOSS: 0.00088714, TIME: 30538.4s
STEP [85920], EPOCH [52/100], ITER [954/1666] 
LOSS: 0.00111267, TIME: 30545.7s
STEP [85940], EPOCH [52/100], ITER [974/1666] 
LOSS: 0.00133266, TIME: 30553.0s
STEP [85960], EPOCH [52/100], ITER [994/1666] 
LOSS: 0.00080688, TIME: 30560.3s
STEP [85980], EPOCH [52/100], ITER [1014/1666] 
LOSS: 0.00075525, TIME: 30567.6s
STEP [86000], EPOCH [52/100], ITER [1034/1666] 
LOSS: 0.00041906, TIME: 30574.9s
STEP [86020], EPOCH [52/100], ITER [1054/1666] 
LOSS: 0.00089601, TIME: 30582.3s
STEP [86040], EPOCH [52/100], ITER [1074/1666] 
LOSS: 0.00112279, TIME: 30589.6s
STEP [86060], EPOCH [52/100], ITER [1094/1666] 
LOSS: 0.00096790, TIME: 30596.9s
STEP [86080], EPOCH [52/100], ITER [1114/1666] 
LOSS: 0.00092215, TIME: 30604.2s
STEP [86100], EPOCH [52/100], ITER [1134/1666] 
LOSS: 0.00050838, TIME: 30611.5s
STEP [86120], EPOCH [52/100], ITER [1154/1666] 
LOSS: 0.00086899, TIME: 30618.9s
STEP [86140], EPOCH [52/100], ITER [1174/1666] 
LOSS: 0.00101633, TIME: 30626.2s
STEP [86160], EPOCH [52/100], ITER [1194/1666] 
LOSS: 0.00060094, TIME: 30633.5s
STEP [86180], EPOCH [52/100], ITER [1214/1666] 
LOSS: 0.00080304, TIME: 30640.8s
STEP [86200], EPOCH [52/100], ITER [1234/1666] 
LOSS: 0.00059609, TIME: 30648.1s
STEP [86220], EPOCH [52/100], ITER [1254/1666] 
LOSS: 0.00064527, TIME: 30655.5s
STEP [86240], EPOCH [52/100], ITER [1274/1666] 
LOSS: 0.00098938, TIME: 30662.8s
STEP [86260], EPOCH [52/100], ITER [1294/1666] 
LOSS: 0.00063342, TIME: 30670.1s
STEP [86280], EPOCH [52/100], ITER [1314/1666] 
LOSS: 0.00120118, TIME: 30677.5s
STEP [86300], EPOCH [52/100], ITER [1334/1666] 
LOSS: 0.00106720, TIME: 30684.8s
STEP [86320], EPOCH [52/100], ITER [1354/1666] 
LOSS: 0.00094066, TIME: 30692.0s
STEP [86340], EPOCH [52/100], ITER [1374/1666] 
LOSS: 0.00073467, TIME: 30699.3s
STEP [86360], EPOCH [52/100], ITER [1394/1666] 
LOSS: 0.00082675, TIME: 30706.6s
STEP [86380], EPOCH [52/100], ITER [1414/1666] 
LOSS: 0.00074550, TIME: 30713.9s
STEP [86400], EPOCH [52/100], ITER [1434/1666] 
LOSS: 0.00050818, TIME: 30721.3s
STEP [86420], EPOCH [52/100], ITER [1454/1666] 
LOSS: 0.00230863, TIME: 30728.6s
STEP [86440], EPOCH [52/100], ITER [1474/1666] 
LOSS: 0.00079146, TIME: 30735.9s
STEP [86460], EPOCH [52/100], ITER [1494/1666] 
LOSS: 0.00095727, TIME: 30743.2s
STEP [86480], EPOCH [52/100], ITER [1514/1666] 
LOSS: 0.00071932, TIME: 30750.5s
STEP [86500], EPOCH [52/100], ITER [1534/1666] 
LOSS: 0.00061785, TIME: 30757.8s
STEP [86520], EPOCH [52/100], ITER [1554/1666] 
LOSS: 0.00087428, TIME: 30765.1s
STEP [86540], EPOCH [52/100], ITER [1574/1666] 
LOSS: 0.00080831, TIME: 30772.4s
STEP [86560], EPOCH [52/100], ITER [1594/1666] 
LOSS: 0.00081888, TIME: 30779.7s
STEP [86580], EPOCH [52/100], ITER [1614/1666] 
LOSS: 0.00109328, TIME: 30787.0s
STEP [86600], EPOCH [52/100], ITER [1634/1666] 
LOSS: 0.00131714, TIME: 30794.3s
STEP [86620], EPOCH [52/100], ITER [1654/1666] 
LOSS: 0.00063086, TIME: 30801.6s
STEP [86640], EPOCH [53/100], ITER [8/1666] 
LOSS: 0.00082940, TIME: 30818.2s
STEP [86660], EPOCH [53/100], ITER [28/1666] 
LOSS: 0.00083589, TIME: 30825.5s
STEP [86680], EPOCH [53/100], ITER [48/1666] 
LOSS: 0.00073367, TIME: 30832.7s
STEP [86700], EPOCH [53/100], ITER [68/1666] 
LOSS: 0.00074597, TIME: 30840.0s
STEP [86720], EPOCH [53/100], ITER [88/1666] 
LOSS: 0.00082773, TIME: 30847.3s
STEP [86740], EPOCH [53/100], ITER [108/1666] 
LOSS: 0.00084185, TIME: 30854.6s
STEP [86760], EPOCH [53/100], ITER [128/1666] 
LOSS: 0.00063707, TIME: 30862.0s
STEP [86780], EPOCH [53/100], ITER [148/1666] 
LOSS: 0.00062927, TIME: 30869.3s
STEP [86800], EPOCH [53/100], ITER [168/1666] 
LOSS: 0.00083787, TIME: 30876.6s
STEP [86820], EPOCH [53/100], ITER [188/1666] 
LOSS: 0.00075183, TIME: 30883.9s
STEP [86840], EPOCH [53/100], ITER [208/1666] 
LOSS: 0.00106706, TIME: 30891.2s
STEP [86860], EPOCH [53/100], ITER [228/1666] 
LOSS: 0.00083950, TIME: 30898.5s
STEP [86880], EPOCH [53/100], ITER [248/1666] 
LOSS: 0.00071760, TIME: 30905.8s
STEP [86900], EPOCH [53/100], ITER [268/1666] 
LOSS: 0.00054099, TIME: 30913.1s
STEP [86920], EPOCH [53/100], ITER [288/1666] 
LOSS: 0.00067436, TIME: 30920.4s
STEP [86940], EPOCH [53/100], ITER [308/1666] 
LOSS: 0.00074630, TIME: 30927.7s
STEP [86960], EPOCH [53/100], ITER [328/1666] 
LOSS: 0.00080399, TIME: 30935.0s
STEP [86980], EPOCH [53/100], ITER [348/1666] 
LOSS: 0.00075572, TIME: 30942.3s
STEP [87000], EPOCH [53/100], ITER [368/1666] 
LOSS: 0.00095273, TIME: 30949.6s
STEP [87020], EPOCH [53/100], ITER [388/1666] 
LOSS: 0.00070158, TIME: 30957.0s
STEP [87040], EPOCH [53/100], ITER [408/1666] 
LOSS: 0.00141377, TIME: 30964.3s
STEP [87060], EPOCH [53/100], ITER [428/1666] 
LOSS: 0.00045416, TIME: 30971.8s
STEP [87080], EPOCH [53/100], ITER [448/1666] 
LOSS: 0.00095391, TIME: 30979.1s
STEP [87100], EPOCH [53/100], ITER [468/1666] 
LOSS: 0.00103727, TIME: 30986.4s
STEP [87120], EPOCH [53/100], ITER [488/1666] 
LOSS: 0.00131383, TIME: 30993.6s
STEP [87140], EPOCH [53/100], ITER [508/1666] 
LOSS: 0.00089245, TIME: 31001.0s
STEP [87160], EPOCH [53/100], ITER [528/1666] 
LOSS: 0.00073791, TIME: 31008.2s
STEP [87180], EPOCH [53/100], ITER [548/1666] 
LOSS: 0.00089747, TIME: 31015.6s
STEP [87200], EPOCH [53/100], ITER [568/1666] 
LOSS: 0.00072273, TIME: 31022.9s
STEP [87220], EPOCH [53/100], ITER [588/1666] 
LOSS: 0.00075164, TIME: 31030.2s
STEP [87240], EPOCH [53/100], ITER [608/1666] 
LOSS: 0.00073493, TIME: 31037.5s
STEP [87260], EPOCH [53/100], ITER [628/1666] 
LOSS: 0.00072867, TIME: 31044.9s
STEP [87280], EPOCH [53/100], ITER [648/1666] 
LOSS: 0.00142529, TIME: 31052.2s
STEP [87300], EPOCH [53/100], ITER [668/1666] 
LOSS: 0.00122244, TIME: 31059.5s
STEP [87320], EPOCH [53/100], ITER [688/1666] 
LOSS: 0.00068242, TIME: 31066.8s
STEP [87340], EPOCH [53/100], ITER [708/1666] 
LOSS: 0.00111342, TIME: 31074.0s
STEP [87360], EPOCH [53/100], ITER [728/1666] 
LOSS: 0.00125749, TIME: 31081.3s
STEP [87380], EPOCH [53/100], ITER [748/1666] 
LOSS: 0.00059730, TIME: 31088.6s
STEP [87400], EPOCH [53/100], ITER [768/1666] 
LOSS: 0.00089001, TIME: 31096.0s
STEP [87420], EPOCH [53/100], ITER [788/1666] 
LOSS: 0.00077137, TIME: 31103.2s
STEP [87440], EPOCH [53/100], ITER [808/1666] 
LOSS: 0.00075435, TIME: 31110.6s
STEP [87460], EPOCH [53/100], ITER [828/1666] 
LOSS: 0.00076628, TIME: 31117.9s
STEP [87480], EPOCH [53/100], ITER [848/1666] 
LOSS: 0.00076849, TIME: 31125.2s
STEP [87500], EPOCH [53/100], ITER [868/1666] 
LOSS: 0.00085615, TIME: 31132.5s
STEP [87520], EPOCH [53/100], ITER [888/1666] 
LOSS: 0.00067730, TIME: 31139.8s
STEP [87540], EPOCH [53/100], ITER [908/1666] 
LOSS: 0.00088223, TIME: 31147.1s
STEP [87560], EPOCH [53/100], ITER [928/1666] 
LOSS: 0.00054069, TIME: 31154.3s
STEP [87580], EPOCH [53/100], ITER [948/1666] 
LOSS: 0.00097712, TIME: 31161.6s
STEP [87600], EPOCH [53/100], ITER [968/1666] 
LOSS: 0.00071969, TIME: 31168.9s
STEP [87620], EPOCH [53/100], ITER [988/1666] 
LOSS: 0.00072676, TIME: 31176.3s
STEP [87640], EPOCH [53/100], ITER [1008/1666] 
LOSS: 0.00067249, TIME: 31183.6s
STEP [87660], EPOCH [53/100], ITER [1028/1666] 
LOSS: 0.00137253, TIME: 31190.9s
STEP [87680], EPOCH [53/100], ITER [1048/1666] 
LOSS: 0.00157129, TIME: 31198.2s
STEP [87700], EPOCH [53/100], ITER [1068/1666] 
LOSS: 0.00115072, TIME: 31205.5s
STEP [87720], EPOCH [53/100], ITER [1088/1666] 
LOSS: 0.00101814, TIME: 31212.8s
STEP [87740], EPOCH [53/100], ITER [1108/1666] 
LOSS: 0.00054230, TIME: 31220.1s
STEP [87760], EPOCH [53/100], ITER [1128/1666] 
LOSS: 0.00114393, TIME: 31227.3s
STEP [87780], EPOCH [53/100], ITER [1148/1666] 
LOSS: 0.00052627, TIME: 31234.7s
STEP [87800], EPOCH [53/100], ITER [1168/1666] 
LOSS: 0.00211567, TIME: 31242.0s
STEP [87820], EPOCH [53/100], ITER [1188/1666] 
LOSS: 0.00069836, TIME: 31249.3s
STEP [87840], EPOCH [53/100], ITER [1208/1666] 
LOSS: 0.00145243, TIME: 31256.6s
STEP [87860], EPOCH [53/100], ITER [1228/1666] 
LOSS: 0.00068515, TIME: 31263.9s
STEP [87880], EPOCH [53/100], ITER [1248/1666] 
LOSS: 0.00108398, TIME: 31271.2s
STEP [87900], EPOCH [53/100], ITER [1268/1666] 
LOSS: 0.00095366, TIME: 31278.5s
STEP [87920], EPOCH [53/100], ITER [1288/1666] 
LOSS: 0.00070839, TIME: 31285.8s
STEP [87940], EPOCH [53/100], ITER [1308/1666] 
LOSS: 0.00062860, TIME: 31293.1s
STEP [87960], EPOCH [53/100], ITER [1328/1666] 
LOSS: 0.00122293, TIME: 31300.4s
STEP [87980], EPOCH [53/100], ITER [1348/1666] 
LOSS: 0.00093331, TIME: 31307.7s
STEP [88000], EPOCH [53/100], ITER [1368/1666] 
LOSS: 0.00077898, TIME: 31315.0s
STEP [88020], EPOCH [53/100], ITER [1388/1666] 
LOSS: 0.00064901, TIME: 31322.4s
STEP [88040], EPOCH [53/100], ITER [1408/1666] 
LOSS: 0.00092716, TIME: 31329.7s
STEP [88060], EPOCH [53/100], ITER [1428/1666] 
LOSS: 0.00062254, TIME: 31337.0s
STEP [88080], EPOCH [53/100], ITER [1448/1666] 
LOSS: 0.00072203, TIME: 31344.3s
STEP [88100], EPOCH [53/100], ITER [1468/1666] 
LOSS: 0.00148573, TIME: 31351.6s
STEP [88120], EPOCH [53/100], ITER [1488/1666] 
LOSS: 0.00056801, TIME: 31358.9s
STEP [88140], EPOCH [53/100], ITER [1508/1666] 
LOSS: 0.00072328, TIME: 31366.2s
STEP [88160], EPOCH [53/100], ITER [1528/1666] 
LOSS: 0.00088575, TIME: 31373.6s
STEP [88180], EPOCH [53/100], ITER [1548/1666] 
LOSS: 0.00095673, TIME: 31380.9s
STEP [88200], EPOCH [53/100], ITER [1568/1666] 
LOSS: 0.00103790, TIME: 31388.1s
STEP [88220], EPOCH [53/100], ITER [1588/1666] 
LOSS: 0.00061346, TIME: 31395.4s
STEP [88240], EPOCH [53/100], ITER [1608/1666] 
LOSS: 0.00090622, TIME: 31402.7s
STEP [88260], EPOCH [53/100], ITER [1628/1666] 
LOSS: 0.00103007, TIME: 31410.0s
STEP [88280], EPOCH [53/100], ITER [1648/1666] 
LOSS: 0.00124104, TIME: 31417.4s
STEP [88300], EPOCH [54/100], ITER [2/1666] 
LOSS: 0.00077987, TIME: 31433.9s
STEP [88320], EPOCH [54/100], ITER [22/1666] 
LOSS: 0.00133169, TIME: 31441.2s
STEP [88340], EPOCH [54/100], ITER [42/1666] 
LOSS: 0.00099232, TIME: 31448.5s
STEP [88360], EPOCH [54/100], ITER [62/1666] 
LOSS: 0.00049486, TIME: 31455.8s
STEP [88380], EPOCH [54/100], ITER [82/1666] 
LOSS: 0.00101440, TIME: 31463.1s
STEP [88400], EPOCH [54/100], ITER [102/1666] 
LOSS: 0.00104407, TIME: 31470.4s
STEP [88420], EPOCH [54/100], ITER [122/1666] 
LOSS: 0.00085735, TIME: 31477.7s
STEP [88440], EPOCH [54/100], ITER [142/1666] 
LOSS: 0.00067268, TIME: 31485.1s
STEP [88460], EPOCH [54/100], ITER [162/1666] 
LOSS: 0.00059152, TIME: 31492.4s
STEP [88480], EPOCH [54/100], ITER [182/1666] 
LOSS: 0.00087780, TIME: 31499.7s
STEP [88500], EPOCH [54/100], ITER [202/1666] 
LOSS: 0.00062409, TIME: 31507.0s
STEP [88520], EPOCH [54/100], ITER [222/1666] 
LOSS: 0.00089983, TIME: 31514.3s
STEP [88540], EPOCH [54/100], ITER [242/1666] 
LOSS: 0.00073461, TIME: 31521.6s
STEP [88560], EPOCH [54/100], ITER [262/1666] 
LOSS: 0.00105507, TIME: 31528.9s
STEP [88580], EPOCH [54/100], ITER [282/1666] 
LOSS: 0.00070431, TIME: 31536.2s
STEP [88600], EPOCH [54/100], ITER [302/1666] 
LOSS: 0.00098875, TIME: 31543.5s
STEP [88620], EPOCH [54/100], ITER [322/1666] 
LOSS: 0.00068262, TIME: 31550.8s
STEP [88640], EPOCH [54/100], ITER [342/1666] 
LOSS: 0.00127664, TIME: 31558.1s
STEP [88660], EPOCH [54/100], ITER [362/1666] 
LOSS: 0.00073631, TIME: 31565.4s
STEP [88680], EPOCH [54/100], ITER [382/1666] 
LOSS: 0.00067945, TIME: 31572.7s
STEP [88700], EPOCH [54/100], ITER [402/1666] 
LOSS: 0.00075261, TIME: 31580.0s
STEP [88720], EPOCH [54/100], ITER [422/1666] 
LOSS: 0.00121581, TIME: 31587.3s
STEP [88740], EPOCH [54/100], ITER [442/1666] 
LOSS: 0.00055268, TIME: 31594.6s
STEP [88760], EPOCH [54/100], ITER [462/1666] 
LOSS: 0.00070958, TIME: 31602.0s
STEP [88780], EPOCH [54/100], ITER [482/1666] 
LOSS: 0.00084156, TIME: 31609.3s
STEP [88800], EPOCH [54/100], ITER [502/1666] 
LOSS: 0.00053204, TIME: 31616.5s
STEP [88820], EPOCH [54/100], ITER [522/1666] 
LOSS: 0.00147844, TIME: 31623.9s
STEP [88840], EPOCH [54/100], ITER [542/1666] 
LOSS: 0.00070059, TIME: 31631.2s
STEP [88860], EPOCH [54/100], ITER [562/1666] 
LOSS: 0.00058924, TIME: 31638.5s
STEP [88880], EPOCH [54/100], ITER [582/1666] 
LOSS: 0.00074538, TIME: 31645.8s
STEP [88900], EPOCH [54/100], ITER [602/1666] 
LOSS: 0.00059545, TIME: 31653.1s
STEP [88920], EPOCH [54/100], ITER [622/1666] 
LOSS: 0.00100781, TIME: 31660.4s
STEP [88940], EPOCH [54/100], ITER [642/1666] 
LOSS: 0.00057042, TIME: 31667.8s
STEP [88960], EPOCH [54/100], ITER [662/1666] 
LOSS: 0.00069909, TIME: 31675.1s
STEP [88980], EPOCH [54/100], ITER [682/1666] 
LOSS: 0.00087481, TIME: 31682.4s
STEP [89000], EPOCH [54/100], ITER [702/1666] 
LOSS: 0.00083818, TIME: 31689.6s
STEP [89020], EPOCH [54/100], ITER [722/1666] 
LOSS: 0.00094421, TIME: 31697.0s
STEP [89040], EPOCH [54/100], ITER [742/1666] 
LOSS: 0.00092363, TIME: 31704.3s
STEP [89060], EPOCH [54/100], ITER [762/1666] 
LOSS: 0.00110430, TIME: 31711.6s
STEP [89080], EPOCH [54/100], ITER [782/1666] 
LOSS: 0.00069730, TIME: 31718.9s
STEP [89100], EPOCH [54/100], ITER [802/1666] 
LOSS: 0.00071257, TIME: 31726.2s
STEP [89120], EPOCH [54/100], ITER [822/1666] 
LOSS: 0.00093496, TIME: 31733.5s
STEP [89140], EPOCH [54/100], ITER [842/1666] 
LOSS: 0.00043493, TIME: 31740.9s
STEP [89160], EPOCH [54/100], ITER [862/1666] 
LOSS: 0.00111394, TIME: 31748.2s
STEP [89180], EPOCH [54/100], ITER [882/1666] 
LOSS: 0.00068877, TIME: 31755.5s
STEP [89200], EPOCH [54/100], ITER [902/1666] 
LOSS: 0.00067818, TIME: 31762.8s
STEP [89220], EPOCH [54/100], ITER [922/1666] 
LOSS: 0.00056026, TIME: 31770.0s
STEP [89240], EPOCH [54/100], ITER [942/1666] 
LOSS: 0.00066679, TIME: 31777.3s
STEP [89260], EPOCH [54/100], ITER [962/1666] 
LOSS: 0.00067242, TIME: 31784.7s
STEP [89280], EPOCH [54/100], ITER [982/1666] 
LOSS: 0.00079369, TIME: 31792.0s
STEP [89300], EPOCH [54/100], ITER [1002/1666] 
LOSS: 0.00079363, TIME: 31799.3s
STEP [89320], EPOCH [54/100], ITER [1022/1666] 
LOSS: 0.00059100, TIME: 31806.7s
STEP [89340], EPOCH [54/100], ITER [1042/1666] 
LOSS: 0.00126965, TIME: 31814.0s
STEP [89360], EPOCH [54/100], ITER [1062/1666] 
LOSS: 0.00071522, TIME: 31821.3s
STEP [89380], EPOCH [54/100], ITER [1082/1666] 
LOSS: 0.00055940, TIME: 31828.6s
STEP [89400], EPOCH [54/100], ITER [1102/1666] 
LOSS: 0.00085042, TIME: 31835.9s
STEP [89420], EPOCH [54/100], ITER [1122/1666] 
LOSS: 0.00077825, TIME: 31843.2s
STEP [89440], EPOCH [54/100], ITER [1142/1666] 
LOSS: 0.00098856, TIME: 31850.5s
STEP [89460], EPOCH [54/100], ITER [1162/1666] 
LOSS: 0.00050029, TIME: 31857.8s
STEP [89480], EPOCH [54/100], ITER [1182/1666] 
LOSS: 0.00069743, TIME: 31865.2s
STEP [89500], EPOCH [54/100], ITER [1202/1666] 
LOSS: 0.00095886, TIME: 31872.5s
STEP [89520], EPOCH [54/100], ITER [1222/1666] 
LOSS: 0.00072638, TIME: 31879.8s
STEP [89540], EPOCH [54/100], ITER [1242/1666] 
LOSS: 0.00099596, TIME: 31887.1s
STEP [89560], EPOCH [54/100], ITER [1262/1666] 
LOSS: 0.00136544, TIME: 31894.5s
STEP [89580], EPOCH [54/100], ITER [1282/1666] 
LOSS: 0.00119774, TIME: 31901.8s
STEP [89600], EPOCH [54/100], ITER [1302/1666] 
LOSS: 0.00070062, TIME: 31909.1s
STEP [89620], EPOCH [54/100], ITER [1322/1666] 
LOSS: 0.00073416, TIME: 31916.5s
STEP [89640], EPOCH [54/100], ITER [1342/1666] 
LOSS: 0.00094472, TIME: 31923.8s
STEP [89660], EPOCH [54/100], ITER [1362/1666] 
LOSS: 0.00098543, TIME: 31931.1s
STEP [89680], EPOCH [54/100], ITER [1382/1666] 
LOSS: 0.00072530, TIME: 31938.5s
STEP [89700], EPOCH [54/100], ITER [1402/1666] 
LOSS: 0.00132252, TIME: 31945.8s
STEP [89720], EPOCH [54/100], ITER [1422/1666] 
LOSS: 0.00066700, TIME: 31953.1s
STEP [89740], EPOCH [54/100], ITER [1442/1666] 
LOSS: 0.00090715, TIME: 31960.4s
STEP [89760], EPOCH [54/100], ITER [1462/1666] 
LOSS: 0.00096410, TIME: 31967.7s
STEP [89780], EPOCH [54/100], ITER [1482/1666] 
LOSS: 0.00085513, TIME: 31975.0s
STEP [89800], EPOCH [54/100], ITER [1502/1666] 
LOSS: 0.00101517, TIME: 31982.3s
STEP [89820], EPOCH [54/100], ITER [1522/1666] 
LOSS: 0.00060098, TIME: 31989.7s
STEP [89840], EPOCH [54/100], ITER [1542/1666] 
LOSS: 0.00093165, TIME: 31997.0s
STEP [89860], EPOCH [54/100], ITER [1562/1666] 
LOSS: 0.00060240, TIME: 32003.9s
STEP [89880], EPOCH [54/100], ITER [1582/1666] 
LOSS: 0.00091539, TIME: 32007.7s
STEP [89900], EPOCH [54/100], ITER [1602/1666] 
LOSS: 0.00064775, TIME: 32012.9s
STEP [89920], EPOCH [54/100], ITER [1622/1666] 
LOSS: 0.00094533, TIME: 32020.2s
STEP [89940], EPOCH [54/100], ITER [1642/1666] 
LOSS: 0.00088430, TIME: 32027.5s
STEP [89960], EPOCH [54/100], ITER [1662/1666] 
LOSS: 0.00108430, TIME: 32034.9s
STEP [89980], EPOCH [55/100], ITER [16/1666] 
LOSS: 0.00093375, TIME: 32051.4s
STEP [90000], EPOCH [55/100], ITER [36/1666] 
LOSS: 0.00048237, TIME: 32058.7s
STEP [90020], EPOCH [55/100], ITER [56/1666] 
LOSS: 0.00065901, TIME: 32066.0s
STEP [90040], EPOCH [55/100], ITER [76/1666] 
LOSS: 0.00056968, TIME: 32073.4s
STEP [90060], EPOCH [55/100], ITER [96/1666] 
LOSS: 0.00125142, TIME: 32080.7s
STEP [90080], EPOCH [55/100], ITER [116/1666] 
LOSS: 0.00079156, TIME: 32088.0s
STEP [90100], EPOCH [55/100], ITER [136/1666] 
LOSS: 0.00086880, TIME: 32095.3s
STEP [90120], EPOCH [55/100], ITER [156/1666] 
LOSS: 0.00043880, TIME: 32102.7s
STEP [90140], EPOCH [55/100], ITER [176/1666] 
LOSS: 0.00066489, TIME: 32110.1s
STEP [90160], EPOCH [55/100], ITER [196/1666] 
LOSS: 0.00095198, TIME: 32117.4s
STEP [90180], EPOCH [55/100], ITER [216/1666] 
LOSS: 0.00085654, TIME: 32124.7s
STEP [90200], EPOCH [55/100], ITER [236/1666] 
LOSS: 0.00106587, TIME: 32132.1s
STEP [90220], EPOCH [55/100], ITER [256/1666] 
LOSS: 0.00101824, TIME: 32139.4s
STEP [90240], EPOCH [55/100], ITER [276/1666] 
LOSS: 0.00056150, TIME: 32146.7s
STEP [90260], EPOCH [55/100], ITER [296/1666] 
LOSS: 0.00067063, TIME: 32154.0s
STEP [90280], EPOCH [55/100], ITER [316/1666] 
LOSS: 0.00059715, TIME: 32161.4s
STEP [90300], EPOCH [55/100], ITER [336/1666] 
LOSS: 0.00109868, TIME: 32168.7s
STEP [90320], EPOCH [55/100], ITER [356/1666] 
LOSS: 0.00083096, TIME: 32176.0s
STEP [90340], EPOCH [55/100], ITER [376/1666] 
LOSS: 0.00066907, TIME: 32183.3s
STEP [90360], EPOCH [55/100], ITER [396/1666] 
LOSS: 0.00087429, TIME: 32190.6s
STEP [90380], EPOCH [55/100], ITER [416/1666] 
LOSS: 0.00078786, TIME: 32198.0s
STEP [90400], EPOCH [55/100], ITER [436/1666] 
LOSS: 0.00079420, TIME: 32205.3s
STEP [90420], EPOCH [55/100], ITER [456/1666] 
LOSS: 0.00070644, TIME: 32212.6s
STEP [90440], EPOCH [55/100], ITER [476/1666] 
LOSS: 0.00104431, TIME: 32219.9s
STEP [90460], EPOCH [55/100], ITER [496/1666] 
LOSS: 0.00061001, TIME: 32227.3s
STEP [90480], EPOCH [55/100], ITER [516/1666] 
LOSS: 0.00075240, TIME: 32234.6s
STEP [90500], EPOCH [55/100], ITER [536/1666] 
LOSS: 0.00079226, TIME: 32241.9s
STEP [90520], EPOCH [55/100], ITER [556/1666] 
LOSS: 0.00111233, TIME: 32249.2s
STEP [90540], EPOCH [55/100], ITER [576/1666] 
LOSS: 0.00104902, TIME: 32256.5s
STEP [90560], EPOCH [55/100], ITER [596/1666] 
LOSS: 0.00080368, TIME: 32263.9s
STEP [90580], EPOCH [55/100], ITER [616/1666] 
LOSS: 0.00050531, TIME: 32271.2s
STEP [90600], EPOCH [55/100], ITER [636/1666] 
LOSS: 0.00044635, TIME: 32278.5s
STEP [90620], EPOCH [55/100], ITER [656/1666] 
LOSS: 0.00094307, TIME: 32285.9s
STEP [90640], EPOCH [55/100], ITER [676/1666] 
LOSS: 0.00095685, TIME: 32293.2s
STEP [90660], EPOCH [55/100], ITER [696/1666] 
LOSS: 0.00087502, TIME: 32300.5s
STEP [90680], EPOCH [55/100], ITER [716/1666] 
LOSS: 0.00095691, TIME: 32307.9s
STEP [90700], EPOCH [55/100], ITER [736/1666] 
LOSS: 0.00101339, TIME: 32315.2s
STEP [90720], EPOCH [55/100], ITER [756/1666] 
LOSS: 0.00071745, TIME: 32322.4s
STEP [90740], EPOCH [55/100], ITER [776/1666] 
LOSS: 0.00066415, TIME: 32329.8s
STEP [90760], EPOCH [55/100], ITER [796/1666] 
LOSS: 0.00063083, TIME: 32337.1s
STEP [90780], EPOCH [55/100], ITER [816/1666] 
LOSS: 0.00058248, TIME: 32344.4s
STEP [90800], EPOCH [55/100], ITER [836/1666] 
LOSS: 0.00058409, TIME: 32351.7s
STEP [90820], EPOCH [55/100], ITER [856/1666] 
LOSS: 0.00054395, TIME: 32359.1s
STEP [90840], EPOCH [55/100], ITER [876/1666] 
LOSS: 0.00097277, TIME: 32366.4s
STEP [90860], EPOCH [55/100], ITER [896/1666] 
LOSS: 0.00074096, TIME: 32373.7s
STEP [90880], EPOCH [55/100], ITER [916/1666] 
LOSS: 0.00051722, TIME: 32381.0s
STEP [90900], EPOCH [55/100], ITER [936/1666] 
LOSS: 0.00047846, TIME: 32388.4s
STEP [90920], EPOCH [55/100], ITER [956/1666] 
LOSS: 0.00087505, TIME: 32395.6s
STEP [90940], EPOCH [55/100], ITER [976/1666] 
LOSS: 0.00098467, TIME: 32403.0s
STEP [90960], EPOCH [55/100], ITER [996/1666] 
LOSS: 0.00103535, TIME: 32410.3s
STEP [90980], EPOCH [55/100], ITER [1016/1666] 
LOSS: 0.00060155, TIME: 32417.7s
STEP [91000], EPOCH [55/100], ITER [1036/1666] 
LOSS: 0.00170400, TIME: 32425.0s
STEP [91020], EPOCH [55/100], ITER [1056/1666] 
LOSS: 0.00061098, TIME: 32432.3s
STEP [91040], EPOCH [55/100], ITER [1076/1666] 
LOSS: 0.00123811, TIME: 32439.6s
STEP [91060], EPOCH [55/100], ITER [1096/1666] 
LOSS: 0.00072270, TIME: 32447.0s
STEP [91080], EPOCH [55/100], ITER [1116/1666] 
LOSS: 0.00151721, TIME: 32454.3s
STEP [91100], EPOCH [55/100], ITER [1136/1666] 
LOSS: 0.00088913, TIME: 32461.6s
STEP [91120], EPOCH [55/100], ITER [1156/1666] 
LOSS: 0.00100541, TIME: 32468.9s
STEP [91140], EPOCH [55/100], ITER [1176/1666] 
LOSS: 0.00078800, TIME: 32476.2s
STEP [91160], EPOCH [55/100], ITER [1196/1666] 
LOSS: 0.00054147, TIME: 32483.5s
STEP [91180], EPOCH [55/100], ITER [1216/1666] 
LOSS: 0.00091651, TIME: 32490.8s
STEP [91200], EPOCH [55/100], ITER [1236/1666] 
LOSS: 0.00058241, TIME: 32498.2s
STEP [91220], EPOCH [55/100], ITER [1256/1666] 
LOSS: 0.00083295, TIME: 32505.5s
STEP [91240], EPOCH [55/100], ITER [1276/1666] 
LOSS: 0.00060167, TIME: 32512.9s
STEP [91260], EPOCH [55/100], ITER [1296/1666] 
LOSS: 0.00062109, TIME: 32520.3s
STEP [91280], EPOCH [55/100], ITER [1316/1666] 
LOSS: 0.00077231, TIME: 32527.6s
STEP [91300], EPOCH [55/100], ITER [1336/1666] 
LOSS: 0.00074411, TIME: 32534.9s
STEP [91320], EPOCH [55/100], ITER [1356/1666] 
LOSS: 0.00080876, TIME: 32542.3s
STEP [91340], EPOCH [55/100], ITER [1376/1666] 
LOSS: 0.00095064, TIME: 32549.6s
STEP [91360], EPOCH [55/100], ITER [1396/1666] 
LOSS: 0.00116622, TIME: 32556.9s
STEP [91380], EPOCH [55/100], ITER [1416/1666] 
LOSS: 0.00148009, TIME: 32564.2s
STEP [91400], EPOCH [55/100], ITER [1436/1666] 
LOSS: 0.00055866, TIME: 32571.5s
STEP [91420], EPOCH [55/100], ITER [1456/1666] 
LOSS: 0.00065418, TIME: 32578.8s
STEP [91440], EPOCH [55/100], ITER [1476/1666] 
LOSS: 0.00069332, TIME: 32586.1s
STEP [91460], EPOCH [55/100], ITER [1496/1666] 
LOSS: 0.00081376, TIME: 32593.5s
STEP [91480], EPOCH [55/100], ITER [1516/1666] 
LOSS: 0.00055430, TIME: 32600.8s
STEP [91500], EPOCH [55/100], ITER [1536/1666] 
LOSS: 0.00071522, TIME: 32608.1s
STEP [91520], EPOCH [55/100], ITER [1556/1666] 
LOSS: 0.00101224, TIME: 32615.4s
STEP [91540], EPOCH [55/100], ITER [1576/1666] 
LOSS: 0.00096507, TIME: 32622.7s
STEP [91560], EPOCH [55/100], ITER [1596/1666] 
LOSS: 0.00067092, TIME: 32630.0s
STEP [91580], EPOCH [55/100], ITER [1616/1666] 
LOSS: 0.00081106, TIME: 32637.3s
STEP [91600], EPOCH [55/100], ITER [1636/1666] 
LOSS: 0.00086835, TIME: 32644.6s
STEP [91620], EPOCH [55/100], ITER [1656/1666] 
LOSS: 0.00094389, TIME: 32651.9s
STEP [91640], EPOCH [56/100], ITER [10/1666] 
LOSS: 0.00112730, TIME: 32668.4s
STEP [91660], EPOCH [56/100], ITER [30/1666] 
LOSS: 0.00088595, TIME: 32675.7s
STEP [91680], EPOCH [56/100], ITER [50/1666] 
LOSS: 0.00075907, TIME: 32683.1s
STEP [91700], EPOCH [56/100], ITER [70/1666] 
LOSS: 0.00069035, TIME: 32690.4s
STEP [91720], EPOCH [56/100], ITER [90/1666] 
LOSS: 0.00097069, TIME: 32697.7s
STEP [91740], EPOCH [56/100], ITER [110/1666] 
LOSS: 0.00052358, TIME: 32704.9s
STEP [91760], EPOCH [56/100], ITER [130/1666] 
LOSS: 0.00087326, TIME: 32712.3s
STEP [91780], EPOCH [56/100], ITER [150/1666] 
LOSS: 0.00051251, TIME: 32719.6s
STEP [91800], EPOCH [56/100], ITER [170/1666] 
LOSS: 0.00116917, TIME: 32726.9s
STEP [91820], EPOCH [56/100], ITER [190/1666] 
LOSS: 0.00064459, TIME: 32734.2s
STEP [91840], EPOCH [56/100], ITER [210/1666] 
LOSS: 0.00073040, TIME: 32741.5s
STEP [91860], EPOCH [56/100], ITER [230/1666] 
LOSS: 0.00091688, TIME: 32748.9s
STEP [91880], EPOCH [56/100], ITER [250/1666] 
LOSS: 0.00105631, TIME: 32756.3s
STEP [91900], EPOCH [56/100], ITER [270/1666] 
LOSS: 0.00073838, TIME: 32763.6s
STEP [91920], EPOCH [56/100], ITER [290/1666] 
LOSS: 0.00081387, TIME: 32770.9s
STEP [91940], EPOCH [56/100], ITER [310/1666] 
LOSS: 0.00047024, TIME: 32778.2s
STEP [91960], EPOCH [56/100], ITER [330/1666] 
LOSS: 0.00093351, TIME: 32785.5s
STEP [91980], EPOCH [56/100], ITER [350/1666] 
LOSS: 0.00053810, TIME: 32792.8s
STEP [92000], EPOCH [56/100], ITER [370/1666] 
LOSS: 0.00093290, TIME: 32800.2s
STEP [92020], EPOCH [56/100], ITER [390/1666] 
LOSS: 0.00074304, TIME: 32807.5s
STEP [92040], EPOCH [56/100], ITER [410/1666] 
LOSS: 0.00073782, TIME: 32814.8s
STEP [92060], EPOCH [56/100], ITER [430/1666] 
LOSS: 0.00057404, TIME: 32822.2s
STEP [92080], EPOCH [56/100], ITER [450/1666] 
LOSS: 0.00068015, TIME: 32829.5s
STEP [92100], EPOCH [56/100], ITER [470/1666] 
LOSS: 0.00105730, TIME: 32836.8s
STEP [92120], EPOCH [56/100], ITER [490/1666] 
LOSS: 0.00180998, TIME: 32844.1s
STEP [92140], EPOCH [56/100], ITER [510/1666] 
LOSS: 0.00082749, TIME: 32851.4s
STEP [92160], EPOCH [56/100], ITER [530/1666] 
LOSS: 0.00080890, TIME: 32858.7s
STEP [92180], EPOCH [56/100], ITER [550/1666] 
LOSS: 0.00141880, TIME: 32866.0s
STEP [92200], EPOCH [56/100], ITER [570/1666] 
LOSS: 0.00064042, TIME: 32873.3s
STEP [92220], EPOCH [56/100], ITER [590/1666] 
LOSS: 0.00087784, TIME: 32880.6s
STEP [92240], EPOCH [56/100], ITER [610/1666] 
LOSS: 0.00115940, TIME: 32887.9s
STEP [92260], EPOCH [56/100], ITER [630/1666] 
LOSS: 0.00213682, TIME: 32895.2s
STEP [92280], EPOCH [56/100], ITER [650/1666] 
LOSS: 0.00071619, TIME: 32902.6s
STEP [92300], EPOCH [56/100], ITER [670/1666] 
LOSS: 0.00078845, TIME: 32909.9s
STEP [92320], EPOCH [56/100], ITER [690/1666] 
LOSS: 0.00095441, TIME: 32917.2s
STEP [92340], EPOCH [56/100], ITER [710/1666] 
LOSS: 0.00132777, TIME: 32924.5s
STEP [92360], EPOCH [56/100], ITER [730/1666] 
LOSS: 0.00081608, TIME: 32931.8s
STEP [92380], EPOCH [56/100], ITER [750/1666] 
LOSS: 0.00087548, TIME: 32939.0s
STEP [92400], EPOCH [56/100], ITER [770/1666] 
LOSS: 0.00080907, TIME: 32946.3s
STEP [92420], EPOCH [56/100], ITER [790/1666] 
LOSS: 0.00075007, TIME: 32953.6s
STEP [92440], EPOCH [56/100], ITER [810/1666] 
LOSS: 0.00094441, TIME: 32960.9s
STEP [92460], EPOCH [56/100], ITER [830/1666] 
LOSS: 0.00094664, TIME: 32968.2s
STEP [92480], EPOCH [56/100], ITER [850/1666] 
LOSS: 0.00091872, TIME: 32975.5s
STEP [92500], EPOCH [56/100], ITER [870/1666] 
LOSS: 0.00084030, TIME: 32982.8s
STEP [92520], EPOCH [56/100], ITER [890/1666] 
LOSS: 0.00083153, TIME: 32990.2s
STEP [92540], EPOCH [56/100], ITER [910/1666] 
LOSS: 0.00102362, TIME: 32997.5s
STEP [92560], EPOCH [56/100], ITER [930/1666] 
LOSS: 0.00093606, TIME: 33004.8s
STEP [92580], EPOCH [56/100], ITER [950/1666] 
LOSS: 0.00092331, TIME: 33012.1s
STEP [92600], EPOCH [56/100], ITER [970/1666] 
LOSS: 0.00086269, TIME: 33019.3s
STEP [92620], EPOCH [56/100], ITER [990/1666] 
LOSS: 0.00070061, TIME: 33026.6s
STEP [92640], EPOCH [56/100], ITER [1010/1666] 
LOSS: 0.00101036, TIME: 33034.0s
STEP [92660], EPOCH [56/100], ITER [1030/1666] 
LOSS: 0.00085747, TIME: 33041.3s
STEP [92680], EPOCH [56/100], ITER [1050/1666] 
LOSS: 0.00094526, TIME: 33048.6s
STEP [92700], EPOCH [56/100], ITER [1070/1666] 
LOSS: 0.00043085, TIME: 33055.9s
STEP [92720], EPOCH [56/100], ITER [1090/1666] 
LOSS: 0.00081065, TIME: 33063.3s
STEP [92740], EPOCH [56/100], ITER [1110/1666] 
LOSS: 0.00109309, TIME: 33070.6s
STEP [92760], EPOCH [56/100], ITER [1130/1666] 
LOSS: 0.00077137, TIME: 33077.9s
STEP [92780], EPOCH [56/100], ITER [1150/1666] 
LOSS: 0.00042611, TIME: 33085.2s
STEP [92800], EPOCH [56/100], ITER [1170/1666] 
LOSS: 0.00095975, TIME: 33092.5s
STEP [92820], EPOCH [56/100], ITER [1190/1666] 
LOSS: 0.00082104, TIME: 33099.7s
STEP [92840], EPOCH [56/100], ITER [1210/1666] 
LOSS: 0.00076732, TIME: 33107.0s
STEP [92860], EPOCH [56/100], ITER [1230/1666] 
LOSS: 0.00074188, TIME: 33114.4s
STEP [92880], EPOCH [56/100], ITER [1250/1666] 
LOSS: 0.00072031, TIME: 33121.7s
STEP [92900], EPOCH [56/100], ITER [1270/1666] 
LOSS: 0.00101876, TIME: 33129.0s
STEP [92920], EPOCH [56/100], ITER [1290/1666] 
LOSS: 0.00068552, TIME: 33136.3s
STEP [92940], EPOCH [56/100], ITER [1310/1666] 
LOSS: 0.00101834, TIME: 33143.6s
STEP [92960], EPOCH [56/100], ITER [1330/1666] 
LOSS: 0.00070695, TIME: 33150.9s
STEP [92980], EPOCH [56/100], ITER [1350/1666] 
LOSS: 0.00060998, TIME: 33158.2s
STEP [93000], EPOCH [56/100], ITER [1370/1666] 
LOSS: 0.00097397, TIME: 33165.5s
STEP [93020], EPOCH [56/100], ITER [1390/1666] 
LOSS: 0.00064520, TIME: 33172.8s
STEP [93040], EPOCH [56/100], ITER [1410/1666] 
LOSS: 0.00144200, TIME: 33180.1s
STEP [93060], EPOCH [56/100], ITER [1430/1666] 
LOSS: 0.00047836, TIME: 33187.4s
STEP [93080], EPOCH [56/100], ITER [1450/1666] 
LOSS: 0.00083767, TIME: 33194.7s
STEP [93100], EPOCH [56/100], ITER [1470/1666] 
LOSS: 0.00052298, TIME: 33202.0s
STEP [93120], EPOCH [56/100], ITER [1490/1666] 
LOSS: 0.00065260, TIME: 33209.3s
STEP [93140], EPOCH [56/100], ITER [1510/1666] 
LOSS: 0.00068569, TIME: 33216.6s
STEP [93160], EPOCH [56/100], ITER [1530/1666] 
LOSS: 0.00065137, TIME: 33224.0s
STEP [93180], EPOCH [56/100], ITER [1550/1666] 
LOSS: 0.00068359, TIME: 33231.3s
STEP [93200], EPOCH [56/100], ITER [1570/1666] 
LOSS: 0.00065630, TIME: 33238.6s
STEP [93220], EPOCH [56/100], ITER [1590/1666] 
LOSS: 0.00077485, TIME: 33245.9s
STEP [93240], EPOCH [56/100], ITER [1610/1666] 
LOSS: 0.00060316, TIME: 33253.1s
STEP [93260], EPOCH [56/100], ITER [1630/1666] 
LOSS: 0.00120874, TIME: 33260.4s
STEP [93280], EPOCH [56/100], ITER [1650/1666] 
LOSS: 0.00077322, TIME: 33267.7s
STEP [93300], EPOCH [57/100], ITER [4/1666] 
LOSS: 0.00084287, TIME: 33284.3s
STEP [93320], EPOCH [57/100], ITER [24/1666] 
LOSS: 0.00066814, TIME: 33291.6s
STEP [93340], EPOCH [57/100], ITER [44/1666] 
LOSS: 0.00074637, TIME: 33298.9s
STEP [93360], EPOCH [57/100], ITER [64/1666] 
LOSS: 0.00048460, TIME: 33306.3s
STEP [93380], EPOCH [57/100], ITER [84/1666] 
LOSS: 0.00085545, TIME: 33313.6s
STEP [93400], EPOCH [57/100], ITER [104/1666] 
LOSS: 0.00094754, TIME: 33320.8s
STEP [93420], EPOCH [57/100], ITER [124/1666] 
LOSS: 0.00092215, TIME: 33328.1s
STEP [93440], EPOCH [57/100], ITER [144/1666] 
LOSS: 0.00096019, TIME: 33335.4s
STEP [93460], EPOCH [57/100], ITER [164/1666] 
LOSS: 0.00086976, TIME: 33342.7s
STEP [93480], EPOCH [57/100], ITER [184/1666] 
LOSS: 0.00080976, TIME: 33350.1s
STEP [93500], EPOCH [57/100], ITER [204/1666] 
LOSS: 0.00083772, TIME: 33357.4s
STEP [93520], EPOCH [57/100], ITER [224/1666] 
LOSS: 0.00056666, TIME: 33364.7s
STEP [93540], EPOCH [57/100], ITER [244/1666] 
LOSS: 0.00110484, TIME: 33372.0s
STEP [93560], EPOCH [57/100], ITER [264/1666] 
LOSS: 0.00077736, TIME: 33379.3s
STEP [93580], EPOCH [57/100], ITER [284/1666] 
LOSS: 0.00101599, TIME: 33386.6s
STEP [93600], EPOCH [57/100], ITER [304/1666] 
LOSS: 0.00079403, TIME: 33393.9s
STEP [93620], EPOCH [57/100], ITER [324/1666] 
LOSS: 0.00137722, TIME: 33401.2s
STEP [93640], EPOCH [57/100], ITER [344/1666] 
LOSS: 0.00110135, TIME: 33408.5s
STEP [93660], EPOCH [57/100], ITER [364/1666] 
LOSS: 0.00073645, TIME: 33415.8s
STEP [93680], EPOCH [57/100], ITER [384/1666] 
LOSS: 0.00081156, TIME: 33423.2s
STEP [93700], EPOCH [57/100], ITER [404/1666] 
LOSS: 0.00079793, TIME: 33430.5s
STEP [93720], EPOCH [57/100], ITER [424/1666] 
LOSS: 0.00090525, TIME: 33437.8s
STEP [93740], EPOCH [57/100], ITER [444/1666] 
LOSS: 0.00072132, TIME: 33445.1s
STEP [93760], EPOCH [57/100], ITER [464/1666] 
LOSS: 0.00055906, TIME: 33452.4s
STEP [93780], EPOCH [57/100], ITER [484/1666] 
LOSS: 0.00075616, TIME: 33459.7s
STEP [93800], EPOCH [57/100], ITER [504/1666] 
LOSS: 0.00083463, TIME: 33467.0s
STEP [93820], EPOCH [57/100], ITER [524/1666] 
LOSS: 0.00071277, TIME: 33474.3s
STEP [93840], EPOCH [57/100], ITER [544/1666] 
LOSS: 0.00086616, TIME: 33481.6s
STEP [93860], EPOCH [57/100], ITER [564/1666] 
LOSS: 0.00059390, TIME: 33488.9s
STEP [93880], EPOCH [57/100], ITER [584/1666] 
LOSS: 0.00108035, TIME: 33496.2s
STEP [93900], EPOCH [57/100], ITER [604/1666] 
LOSS: 0.00043059, TIME: 33503.5s
STEP [93920], EPOCH [57/100], ITER [624/1666] 
LOSS: 0.00119184, TIME: 33510.8s
STEP [93940], EPOCH [57/100], ITER [644/1666] 
LOSS: 0.00094348, TIME: 33518.1s
STEP [93960], EPOCH [57/100], ITER [664/1666] 
LOSS: 0.00051391, TIME: 33525.4s
STEP [93980], EPOCH [57/100], ITER [684/1666] 
LOSS: 0.00085998, TIME: 33532.7s
STEP [94000], EPOCH [57/100], ITER [704/1666] 
LOSS: 0.00116706, TIME: 33540.0s
STEP [94020], EPOCH [57/100], ITER [724/1666] 
LOSS: 0.00084743, TIME: 33547.4s
STEP [94040], EPOCH [57/100], ITER [744/1666] 
LOSS: 0.00111334, TIME: 33554.7s
STEP [94060], EPOCH [57/100], ITER [764/1666] 
LOSS: 0.00053832, TIME: 33558.5s
STEP [94080], EPOCH [57/100], ITER [784/1666] 
LOSS: 0.00038236, TIME: 33563.8s
STEP [94100], EPOCH [57/100], ITER [804/1666] 
LOSS: 0.00096578, TIME: 33571.1s
STEP [94120], EPOCH [57/100], ITER [824/1666] 
LOSS: 0.00122124, TIME: 33578.4s
STEP [94140], EPOCH [57/100], ITER [844/1666] 
LOSS: 0.00063034, TIME: 33585.8s
STEP [94160], EPOCH [57/100], ITER [864/1666] 
LOSS: 0.00067316, TIME: 33593.1s
STEP [94180], EPOCH [57/100], ITER [884/1666] 
LOSS: 0.00096647, TIME: 33600.4s
STEP [94200], EPOCH [57/100], ITER [904/1666] 
LOSS: 0.00086146, TIME: 33607.7s
STEP [94220], EPOCH [57/100], ITER [924/1666] 
LOSS: 0.00097995, TIME: 33615.0s
STEP [94240], EPOCH [57/100], ITER [944/1666] 
LOSS: 0.00094251, TIME: 33622.4s
STEP [94260], EPOCH [57/100], ITER [964/1666] 
LOSS: 0.00067235, TIME: 33629.7s
STEP [94280], EPOCH [57/100], ITER [984/1666] 
LOSS: 0.00059558, TIME: 33637.0s
STEP [94300], EPOCH [57/100], ITER [1004/1666] 
LOSS: 0.00265032, TIME: 33644.3s
STEP [94320], EPOCH [57/100], ITER [1024/1666] 
LOSS: 0.00133705, TIME: 33651.6s
STEP [94340], EPOCH [57/100], ITER [1044/1666] 
LOSS: 0.00065905, TIME: 33658.9s
STEP [94360], EPOCH [57/100], ITER [1064/1666] 
LOSS: 0.00092904, TIME: 33666.2s
STEP [94380], EPOCH [57/100], ITER [1084/1666] 
LOSS: 0.00156957, TIME: 33673.5s
STEP [94400], EPOCH [57/100], ITER [1104/1666] 
LOSS: 0.00059453, TIME: 33680.8s
STEP [94420], EPOCH [57/100], ITER [1124/1666] 
LOSS: 0.00096623, TIME: 33688.1s
STEP [94440], EPOCH [57/100], ITER [1144/1666] 
LOSS: 0.00060927, TIME: 33695.5s
STEP [94460], EPOCH [57/100], ITER [1164/1666] 
LOSS: 0.00075026, TIME: 33702.8s
STEP [94480], EPOCH [57/100], ITER [1184/1666] 
LOSS: 0.00070062, TIME: 33710.1s
STEP [94500], EPOCH [57/100], ITER [1204/1666] 
LOSS: 0.00078170, TIME: 33717.4s
STEP [94520], EPOCH [57/100], ITER [1224/1666] 
LOSS: 0.00071385, TIME: 33724.8s
STEP [94540], EPOCH [57/100], ITER [1244/1666] 
LOSS: 0.00065826, TIME: 33732.1s
STEP [94560], EPOCH [57/100], ITER [1264/1666] 
LOSS: 0.00130394, TIME: 33739.4s
STEP [94580], EPOCH [57/100], ITER [1284/1666] 
LOSS: 0.00053254, TIME: 33746.7s
STEP [94600], EPOCH [57/100], ITER [1304/1666] 
LOSS: 0.00059570, TIME: 33754.1s
STEP [94620], EPOCH [57/100], ITER [1324/1666] 
LOSS: 0.00085951, TIME: 33761.4s
STEP [94640], EPOCH [57/100], ITER [1344/1666] 
LOSS: 0.00062911, TIME: 33768.8s
STEP [94660], EPOCH [57/100], ITER [1364/1666] 
LOSS: 0.00142968, TIME: 33776.1s
STEP [94680], EPOCH [57/100], ITER [1384/1666] 
LOSS: 0.00062884, TIME: 33783.4s
STEP [94700], EPOCH [57/100], ITER [1404/1666] 
LOSS: 0.00086359, TIME: 33790.7s
STEP [94720], EPOCH [57/100], ITER [1424/1666] 
LOSS: 0.00085263, TIME: 33798.0s
STEP [94740], EPOCH [57/100], ITER [1444/1666] 
LOSS: 0.00100043, TIME: 33805.2s
STEP [94760], EPOCH [57/100], ITER [1464/1666] 
LOSS: 0.00079484, TIME: 33812.6s
STEP [94780], EPOCH [57/100], ITER [1484/1666] 
LOSS: 0.00057970, TIME: 33819.8s
STEP [94800], EPOCH [57/100], ITER [1504/1666] 
LOSS: 0.00137249, TIME: 33827.2s
STEP [94820], EPOCH [57/100], ITER [1524/1666] 
LOSS: 0.00107775, TIME: 33834.5s
STEP [94840], EPOCH [57/100], ITER [1544/1666] 
LOSS: 0.00071364, TIME: 33841.8s
STEP [94860], EPOCH [57/100], ITER [1564/1666] 
LOSS: 0.00073121, TIME: 33849.1s
STEP [94880], EPOCH [57/100], ITER [1584/1666] 
LOSS: 0.00065152, TIME: 33856.4s
STEP [94900], EPOCH [57/100], ITER [1604/1666] 
LOSS: 0.00082987, TIME: 33863.7s
STEP [94920], EPOCH [57/100], ITER [1624/1666] 
LOSS: 0.00072568, TIME: 33871.0s
STEP [94940], EPOCH [57/100], ITER [1644/1666] 
LOSS: 0.00085749, TIME: 33878.2s
STEP [94960], EPOCH [57/100], ITER [1664/1666] 
LOSS: 0.00081343, TIME: 33885.6s
STEP [94980], EPOCH [58/100], ITER [18/1666] 
LOSS: 0.00072401, TIME: 33902.0s
STEP [95000], EPOCH [58/100], ITER [38/1666] 
LOSS: 0.00109703, TIME: 33909.3s
STEP [95020], EPOCH [58/100], ITER [58/1666] 
LOSS: 0.00121838, TIME: 33916.7s
STEP [95040], EPOCH [58/100], ITER [78/1666] 
LOSS: 0.00073300, TIME: 33924.0s
STEP [95060], EPOCH [58/100], ITER [98/1666] 
LOSS: 0.00106132, TIME: 33931.3s
STEP [95080], EPOCH [58/100], ITER [118/1666] 
LOSS: 0.00069121, TIME: 33938.7s
STEP [95100], EPOCH [58/100], ITER [138/1666] 
LOSS: 0.00151122, TIME: 33945.9s
STEP [95120], EPOCH [58/100], ITER [158/1666] 
LOSS: 0.00108560, TIME: 33953.3s
STEP [95140], EPOCH [58/100], ITER [178/1666] 
LOSS: 0.00071371, TIME: 33960.6s
STEP [95160], EPOCH [58/100], ITER [198/1666] 
LOSS: 0.00086526, TIME: 33967.9s
STEP [95180], EPOCH [58/100], ITER [218/1666] 
LOSS: 0.00082289, TIME: 33975.2s
STEP [95200], EPOCH [58/100], ITER [238/1666] 
LOSS: 0.00069298, TIME: 33982.5s
STEP [95220], EPOCH [58/100], ITER [258/1666] 
LOSS: 0.00107448, TIME: 33989.9s
STEP [95240], EPOCH [58/100], ITER [278/1666] 
LOSS: 0.00079866, TIME: 33997.2s
STEP [95260], EPOCH [58/100], ITER [298/1666] 
LOSS: 0.00093271, TIME: 34004.5s
STEP [95280], EPOCH [58/100], ITER [318/1666] 
LOSS: 0.00093977, TIME: 34011.8s
STEP [95300], EPOCH [58/100], ITER [338/1666] 
LOSS: 0.00081700, TIME: 34019.1s
STEP [95320], EPOCH [58/100], ITER [358/1666] 
LOSS: 0.00082948, TIME: 34026.4s
STEP [95340], EPOCH [58/100], ITER [378/1666] 
LOSS: 0.00101847, TIME: 34033.7s
STEP [95360], EPOCH [58/100], ITER [398/1666] 
LOSS: 0.00084282, TIME: 34041.0s
STEP [95380], EPOCH [58/100], ITER [418/1666] 
LOSS: 0.00094890, TIME: 34048.3s
STEP [95400], EPOCH [58/100], ITER [438/1666] 
LOSS: 0.00088140, TIME: 34055.6s
STEP [95420], EPOCH [58/100], ITER [458/1666] 
LOSS: 0.00058651, TIME: 34063.0s
STEP [95440], EPOCH [58/100], ITER [478/1666] 
LOSS: 0.00134407, TIME: 34070.3s
STEP [95460], EPOCH [58/100], ITER [498/1666] 
LOSS: 0.00083657, TIME: 34077.6s
STEP [95480], EPOCH [58/100], ITER [518/1666] 
LOSS: 0.00094046, TIME: 34084.9s
STEP [95500], EPOCH [58/100], ITER [538/1666] 
LOSS: 0.00113111, TIME: 34092.2s
STEP [95520], EPOCH [58/100], ITER [558/1666] 
LOSS: 0.00065779, TIME: 34099.6s
STEP [95540], EPOCH [58/100], ITER [578/1666] 
LOSS: 0.00081563, TIME: 34106.8s
STEP [95560], EPOCH [58/100], ITER [598/1666] 
LOSS: 0.00048889, TIME: 34114.2s
STEP [95580], EPOCH [58/100], ITER [618/1666] 
LOSS: 0.00077151, TIME: 34121.5s
STEP [95600], EPOCH [58/100], ITER [638/1666] 
LOSS: 0.00063403, TIME: 34128.8s
STEP [95620], EPOCH [58/100], ITER [658/1666] 
LOSS: 0.00088534, TIME: 34136.1s
STEP [95640], EPOCH [58/100], ITER [678/1666] 
LOSS: 0.00094328, TIME: 34143.4s
STEP [95660], EPOCH [58/100], ITER [698/1666] 
LOSS: 0.00061529, TIME: 34150.7s
STEP [95680], EPOCH [58/100], ITER [718/1666] 
LOSS: 0.00044114, TIME: 34158.1s
STEP [95700], EPOCH [58/100], ITER [738/1666] 
LOSS: 0.00094053, TIME: 34165.4s
STEP [95720], EPOCH [58/100], ITER [758/1666] 
LOSS: 0.00099702, TIME: 34172.7s
STEP [95740], EPOCH [58/100], ITER [778/1666] 
LOSS: 0.00082334, TIME: 34180.0s
STEP [95760], EPOCH [58/100], ITER [798/1666] 
LOSS: 0.00061015, TIME: 34187.3s
STEP [95780], EPOCH [58/100], ITER [818/1666] 
LOSS: 0.00032003, TIME: 34194.6s
STEP [95800], EPOCH [58/100], ITER [838/1666] 
LOSS: 0.00066923, TIME: 34201.9s
STEP [95820], EPOCH [58/100], ITER [858/1666] 
LOSS: 0.00099259, TIME: 34209.2s
STEP [95840], EPOCH [58/100], ITER [878/1666] 
LOSS: 0.00068945, TIME: 34216.6s
STEP [95860], EPOCH [58/100], ITER [898/1666] 
LOSS: 0.00048583, TIME: 34223.9s
STEP [95880], EPOCH [58/100], ITER [918/1666] 
LOSS: 0.00085246, TIME: 34231.2s
STEP [95900], EPOCH [58/100], ITER [938/1666] 
LOSS: 0.00140855, TIME: 34238.5s
STEP [95920], EPOCH [58/100], ITER [958/1666] 
LOSS: 0.00059372, TIME: 34245.8s
STEP [95940], EPOCH [58/100], ITER [978/1666] 
LOSS: 0.00107172, TIME: 34253.1s
STEP [95960], EPOCH [58/100], ITER [998/1666] 
LOSS: 0.00048679, TIME: 34260.4s
STEP [95980], EPOCH [58/100], ITER [1018/1666] 
LOSS: 0.00106786, TIME: 34267.7s
STEP [96000], EPOCH [58/100], ITER [1038/1666] 
LOSS: 0.00047595, TIME: 34275.0s
STEP [96020], EPOCH [58/100], ITER [1058/1666] 
LOSS: 0.00071469, TIME: 34282.4s
STEP [96040], EPOCH [58/100], ITER [1078/1666] 
LOSS: 0.00041304, TIME: 34289.7s
STEP [96060], EPOCH [58/100], ITER [1098/1666] 
LOSS: 0.00091065, TIME: 34297.0s
STEP [96080], EPOCH [58/100], ITER [1118/1666] 
LOSS: 0.00078457, TIME: 34304.3s
STEP [96100], EPOCH [58/100], ITER [1138/1666] 
LOSS: 0.00068558, TIME: 34311.6s
STEP [96120], EPOCH [58/100], ITER [1158/1666] 
LOSS: 0.00082040, TIME: 34318.9s
STEP [96140], EPOCH [58/100], ITER [1178/1666] 
LOSS: 0.00091063, TIME: 34326.2s
STEP [96160], EPOCH [58/100], ITER [1198/1666] 
LOSS: 0.00071855, TIME: 34333.6s
STEP [96180], EPOCH [58/100], ITER [1218/1666] 
LOSS: 0.00080924, TIME: 34340.8s
STEP [96200], EPOCH [58/100], ITER [1238/1666] 
LOSS: 0.00074643, TIME: 34348.1s
STEP [96220], EPOCH [58/100], ITER [1258/1666] 
LOSS: 0.00052240, TIME: 34355.5s
STEP [96240], EPOCH [58/100], ITER [1278/1666] 
LOSS: 0.00089665, TIME: 34362.9s
STEP [96260], EPOCH [58/100], ITER [1298/1666] 
LOSS: 0.00095281, TIME: 34370.2s
STEP [96280], EPOCH [58/100], ITER [1318/1666] 
LOSS: 0.00074005, TIME: 34377.5s
STEP [96300], EPOCH [58/100], ITER [1338/1666] 
LOSS: 0.00060545, TIME: 34384.8s
STEP [96320], EPOCH [58/100], ITER [1358/1666] 
LOSS: 0.00108348, TIME: 34392.2s
STEP [96340], EPOCH [58/100], ITER [1378/1666] 
LOSS: 0.00098413, TIME: 34399.5s
STEP [96360], EPOCH [58/100], ITER [1398/1666] 
LOSS: 0.00058837, TIME: 34406.8s
STEP [96380], EPOCH [58/100], ITER [1418/1666] 
LOSS: 0.00043774, TIME: 34414.1s
STEP [96400], EPOCH [58/100], ITER [1438/1666] 
LOSS: 0.00077750, TIME: 34421.4s
STEP [96420], EPOCH [58/100], ITER [1458/1666] 
LOSS: 0.00044646, TIME: 34428.7s
STEP [96440], EPOCH [58/100], ITER [1478/1666] 
LOSS: 0.00056860, TIME: 34436.0s
STEP [96460], EPOCH [58/100], ITER [1498/1666] 
LOSS: 0.00078754, TIME: 34443.3s
STEP [96480], EPOCH [58/100], ITER [1518/1666] 
LOSS: 0.00062715, TIME: 34450.7s
STEP [96500], EPOCH [58/100], ITER [1538/1666] 
LOSS: 0.00095613, TIME: 34458.0s
STEP [96520], EPOCH [58/100], ITER [1558/1666] 
LOSS: 0.00059096, TIME: 34465.3s
STEP [96540], EPOCH [58/100], ITER [1578/1666] 
LOSS: 0.00096251, TIME: 34472.6s
STEP [96560], EPOCH [58/100], ITER [1598/1666] 
LOSS: 0.00059029, TIME: 34479.9s
STEP [96580], EPOCH [58/100], ITER [1618/1666] 
LOSS: 0.00087219, TIME: 34487.2s
STEP [96600], EPOCH [58/100], ITER [1638/1666] 
LOSS: 0.00077682, TIME: 34494.5s
STEP [96620], EPOCH [58/100], ITER [1658/1666] 
LOSS: 0.00082851, TIME: 34501.8s
STEP [96640], EPOCH [59/100], ITER [12/1666] 
LOSS: 0.00071968, TIME: 34517.9s
STEP [96660], EPOCH [59/100], ITER [32/1666] 
LOSS: 0.00072135, TIME: 34525.2s
STEP [96680], EPOCH [59/100], ITER [52/1666] 
LOSS: 0.00072564, TIME: 34532.5s
STEP [96700], EPOCH [59/100], ITER [72/1666] 
LOSS: 0.00072172, TIME: 34539.9s
STEP [96720], EPOCH [59/100], ITER [92/1666] 
LOSS: 0.00051115, TIME: 34547.2s
STEP [96740], EPOCH [59/100], ITER [112/1666] 
LOSS: 0.00093189, TIME: 34554.5s
STEP [96760], EPOCH [59/100], ITER [132/1666] 
LOSS: 0.00062463, TIME: 34561.8s
STEP [96780], EPOCH [59/100], ITER [152/1666] 
LOSS: 0.00054770, TIME: 34569.1s
STEP [96800], EPOCH [59/100], ITER [172/1666] 
LOSS: 0.00084052, TIME: 34576.4s
STEP [96820], EPOCH [59/100], ITER [192/1666] 
LOSS: 0.00119293, TIME: 34583.7s
STEP [96840], EPOCH [59/100], ITER [212/1666] 
LOSS: 0.00071806, TIME: 34591.0s
STEP [96860], EPOCH [59/100], ITER [232/1666] 
LOSS: 0.00083973, TIME: 34598.3s
STEP [96880], EPOCH [59/100], ITER [252/1666] 
LOSS: 0.00097984, TIME: 34605.6s
STEP [96900], EPOCH [59/100], ITER [272/1666] 
LOSS: 0.00196458, TIME: 34612.9s
STEP [96920], EPOCH [59/100], ITER [292/1666] 
LOSS: 0.00126230, TIME: 34620.2s
STEP [96940], EPOCH [59/100], ITER [312/1666] 
LOSS: 0.00125552, TIME: 34627.6s
STEP [96960], EPOCH [59/100], ITER [332/1666] 
LOSS: 0.00124613, TIME: 34634.9s
STEP [96980], EPOCH [59/100], ITER [352/1666] 
LOSS: 0.00119471, TIME: 34642.2s
STEP [97000], EPOCH [59/100], ITER [372/1666] 
LOSS: 0.00120988, TIME: 34649.5s
STEP [97020], EPOCH [59/100], ITER [392/1666] 
LOSS: 0.00090348, TIME: 34656.8s
STEP [97040], EPOCH [59/100], ITER [412/1666] 
LOSS: 0.00079361, TIME: 34664.1s
STEP [97060], EPOCH [59/100], ITER [432/1666] 
LOSS: 0.00069542, TIME: 34671.5s
STEP [97080], EPOCH [59/100], ITER [452/1666] 
LOSS: 0.00129283, TIME: 34678.8s
STEP [97100], EPOCH [59/100], ITER [472/1666] 
LOSS: 0.00097777, TIME: 34686.1s
STEP [97120], EPOCH [59/100], ITER [492/1666] 
LOSS: 0.00047968, TIME: 34693.4s
STEP [97140], EPOCH [59/100], ITER [512/1666] 
LOSS: 0.00128812, TIME: 34700.7s
STEP [97160], EPOCH [59/100], ITER [532/1666] 
LOSS: 0.00046108, TIME: 34708.0s
STEP [97180], EPOCH [59/100], ITER [552/1666] 
LOSS: 0.00102829, TIME: 34715.3s
STEP [97200], EPOCH [59/100], ITER [572/1666] 
LOSS: 0.00079129, TIME: 34722.6s
STEP [97220], EPOCH [59/100], ITER [592/1666] 
LOSS: 0.00071379, TIME: 34729.9s
STEP [97240], EPOCH [59/100], ITER [612/1666] 
LOSS: 0.00062424, TIME: 34737.2s
STEP [97260], EPOCH [59/100], ITER [632/1666] 
LOSS: 0.00072849, TIME: 34744.5s
STEP [97280], EPOCH [59/100], ITER [652/1666] 
LOSS: 0.00068550, TIME: 34751.8s
STEP [97300], EPOCH [59/100], ITER [672/1666] 
LOSS: 0.00097108, TIME: 34759.1s
STEP [97320], EPOCH [59/100], ITER [692/1666] 
LOSS: 0.00100592, TIME: 34766.4s
STEP [97340], EPOCH [59/100], ITER [712/1666] 
LOSS: 0.00156653, TIME: 34773.7s
STEP [97360], EPOCH [59/100], ITER [732/1666] 
LOSS: 0.00090793, TIME: 34781.1s
STEP [97380], EPOCH [59/100], ITER [752/1666] 
LOSS: 0.00063064, TIME: 34788.4s
STEP [97400], EPOCH [59/100], ITER [772/1666] 
LOSS: 0.00071754, TIME: 34795.7s
STEP [97420], EPOCH [59/100], ITER [792/1666] 
LOSS: 0.00074244, TIME: 34802.9s
STEP [97440], EPOCH [59/100], ITER [812/1666] 
LOSS: 0.00060663, TIME: 34810.2s
STEP [97460], EPOCH [59/100], ITER [832/1666] 
LOSS: 0.00063496, TIME: 34817.5s
STEP [97480], EPOCH [59/100], ITER [852/1666] 
LOSS: 0.00080030, TIME: 34824.8s
STEP [97500], EPOCH [59/100], ITER [872/1666] 
LOSS: 0.00067283, TIME: 34832.1s
STEP [97520], EPOCH [59/100], ITER [892/1666] 
LOSS: 0.00086530, TIME: 34839.4s
STEP [97540], EPOCH [59/100], ITER [912/1666] 
LOSS: 0.00060877, TIME: 34846.7s
STEP [97560], EPOCH [59/100], ITER [932/1666] 
LOSS: 0.00074805, TIME: 34854.1s
STEP [97580], EPOCH [59/100], ITER [952/1666] 
LOSS: 0.00079335, TIME: 34861.4s
STEP [97600], EPOCH [59/100], ITER [972/1666] 
LOSS: 0.00088151, TIME: 34868.7s
STEP [97620], EPOCH [59/100], ITER [992/1666] 
LOSS: 0.00070649, TIME: 34876.0s
STEP [97640], EPOCH [59/100], ITER [1012/1666] 
LOSS: 0.00062680, TIME: 34883.3s
STEP [97660], EPOCH [59/100], ITER [1032/1666] 
LOSS: 0.00049901, TIME: 34890.6s
STEP [97680], EPOCH [59/100], ITER [1052/1666] 
LOSS: 0.00047449, TIME: 34897.9s
STEP [97700], EPOCH [59/100], ITER [1072/1666] 
LOSS: 0.00087226, TIME: 34905.2s
STEP [97720], EPOCH [59/100], ITER [1092/1666] 
LOSS: 0.00067023, TIME: 34912.5s
STEP [97740], EPOCH [59/100], ITER [1112/1666] 
LOSS: 0.00053793, TIME: 34919.7s
STEP [97760], EPOCH [59/100], ITER [1132/1666] 
LOSS: 0.00061171, TIME: 34927.0s
STEP [97780], EPOCH [59/100], ITER [1152/1666] 
LOSS: 0.00082661, TIME: 34934.3s
STEP [97800], EPOCH [59/100], ITER [1172/1666] 
LOSS: 0.00058703, TIME: 34941.7s
STEP [97820], EPOCH [59/100], ITER [1192/1666] 
LOSS: 0.00071387, TIME: 34949.0s
STEP [97840], EPOCH [59/100], ITER [1212/1666] 
LOSS: 0.00089618, TIME: 34956.3s
STEP [97860], EPOCH [59/100], ITER [1232/1666] 
LOSS: 0.00087100, TIME: 34963.5s
STEP [97880], EPOCH [59/100], ITER [1252/1666] 
LOSS: 0.00039331, TIME: 34970.9s
STEP [97900], EPOCH [59/100], ITER [1272/1666] 
LOSS: 0.00050455, TIME: 34978.2s
STEP [97920], EPOCH [59/100], ITER [1292/1666] 
LOSS: 0.00077213, TIME: 34985.5s
STEP [97940], EPOCH [59/100], ITER [1312/1666] 
LOSS: 0.00090753, TIME: 34992.9s
STEP [97960], EPOCH [59/100], ITER [1332/1666] 
LOSS: 0.00078490, TIME: 35000.2s
STEP [97980], EPOCH [59/100], ITER [1352/1666] 
LOSS: 0.00102806, TIME: 35007.5s
STEP [98000], EPOCH [59/100], ITER [1372/1666] 
LOSS: 0.00085055, TIME: 35014.8s
STEP [98020], EPOCH [59/100], ITER [1392/1666] 
LOSS: 0.00088135, TIME: 35022.2s
STEP [98040], EPOCH [59/100], ITER [1412/1666] 
LOSS: 0.00054511, TIME: 35029.5s
STEP [98060], EPOCH [59/100], ITER [1432/1666] 
LOSS: 0.00062235, TIME: 35036.8s
STEP [98080], EPOCH [59/100], ITER [1452/1666] 
LOSS: 0.00060806, TIME: 35044.1s
STEP [98100], EPOCH [59/100], ITER [1472/1666] 
LOSS: 0.00046233, TIME: 35051.4s
STEP [98120], EPOCH [59/100], ITER [1492/1666] 
LOSS: 0.00047362, TIME: 35058.7s
STEP [98140], EPOCH [59/100], ITER [1512/1666] 
LOSS: 0.00080914, TIME: 35066.0s
STEP [98160], EPOCH [59/100], ITER [1532/1666] 
LOSS: 0.00081937, TIME: 35073.4s
STEP [98180], EPOCH [59/100], ITER [1552/1666] 
LOSS: 0.00042538, TIME: 35080.7s
STEP [98200], EPOCH [59/100], ITER [1572/1666] 
LOSS: 0.00094750, TIME: 35088.0s
STEP [98220], EPOCH [59/100], ITER [1592/1666] 
LOSS: 0.00077403, TIME: 35095.3s
STEP [98240], EPOCH [59/100], ITER [1612/1666] 
LOSS: 0.00065346, TIME: 35102.6s
STEP [98260], EPOCH [59/100], ITER [1632/1666] 
LOSS: 0.00078162, TIME: 35109.9s
STEP [98280], EPOCH [59/100], ITER [1652/1666] 
LOSS: 0.00070643, TIME: 35116.7s
STEP [98300], EPOCH [60/100], ITER [6/1666] 
LOSS: 0.00050444, TIME: 35131.1s
STEP [98320], EPOCH [60/100], ITER [26/1666] 
LOSS: 0.00056789, TIME: 35138.4s
STEP [98340], EPOCH [60/100], ITER [46/1666] 
LOSS: 0.00107190, TIME: 35145.8s
STEP [98360], EPOCH [60/100], ITER [66/1666] 
LOSS: 0.00093836, TIME: 35153.1s
STEP [98380], EPOCH [60/100], ITER [86/1666] 
LOSS: 0.00078283, TIME: 35160.4s
STEP [98400], EPOCH [60/100], ITER [106/1666] 
LOSS: 0.00068412, TIME: 35167.7s
STEP [98420], EPOCH [60/100], ITER [126/1666] 
LOSS: 0.00063160, TIME: 35175.1s
STEP [98440], EPOCH [60/100], ITER [146/1666] 
LOSS: 0.00144780, TIME: 35182.4s
STEP [98460], EPOCH [60/100], ITER [166/1666] 
LOSS: 0.00063851, TIME: 35189.7s
STEP [98480], EPOCH [60/100], ITER [186/1666] 
LOSS: 0.00096886, TIME: 35197.0s
STEP [98500], EPOCH [60/100], ITER [206/1666] 
LOSS: 0.00097825, TIME: 35204.4s
STEP [98520], EPOCH [60/100], ITER [226/1666] 
LOSS: 0.00084309, TIME: 35211.7s
STEP [98540], EPOCH [60/100], ITER [246/1666] 
LOSS: 0.00090469, TIME: 35219.0s
STEP [98560], EPOCH [60/100], ITER [266/1666] 
LOSS: 0.00095578, TIME: 35226.3s
STEP [98580], EPOCH [60/100], ITER [286/1666] 
LOSS: 0.00088263, TIME: 35233.7s
STEP [98600], EPOCH [60/100], ITER [306/1666] 
LOSS: 0.00102374, TIME: 35241.0s
STEP [98620], EPOCH [60/100], ITER [326/1666] 
LOSS: 0.00157913, TIME: 35248.3s
STEP [98640], EPOCH [60/100], ITER [346/1666] 
LOSS: 0.00091621, TIME: 35255.6s
STEP [98660], EPOCH [60/100], ITER [366/1666] 
LOSS: 0.00078187, TIME: 35263.0s
STEP [98680], EPOCH [60/100], ITER [386/1666] 
LOSS: 0.00104825, TIME: 35270.3s
STEP [98700], EPOCH [60/100], ITER [406/1666] 
LOSS: 0.00065276, TIME: 35277.6s
STEP [98720], EPOCH [60/100], ITER [426/1666] 
LOSS: 0.00048907, TIME: 35285.0s
STEP [98740], EPOCH [60/100], ITER [446/1666] 
LOSS: 0.00073185, TIME: 35292.3s
STEP [98760], EPOCH [60/100], ITER [466/1666] 
LOSS: 0.00072661, TIME: 35299.6s
STEP [98780], EPOCH [60/100], ITER [486/1666] 
LOSS: 0.00099537, TIME: 35306.9s
STEP [98800], EPOCH [60/100], ITER [506/1666] 
LOSS: 0.00081501, TIME: 35314.2s
STEP [98820], EPOCH [60/100], ITER [526/1666] 
LOSS: 0.00073583, TIME: 35321.5s
STEP [98840], EPOCH [60/100], ITER [546/1666] 
LOSS: 0.00099624, TIME: 35328.9s
STEP [98860], EPOCH [60/100], ITER [566/1666] 
LOSS: 0.00091086, TIME: 35336.2s
STEP [98880], EPOCH [60/100], ITER [586/1666] 
LOSS: 0.00089288, TIME: 35343.5s
STEP [98900], EPOCH [60/100], ITER [606/1666] 
LOSS: 0.00073093, TIME: 35350.8s
STEP [98920], EPOCH [60/100], ITER [626/1666] 
LOSS: 0.00119733, TIME: 35358.1s
STEP [98940], EPOCH [60/100], ITER [646/1666] 
LOSS: 0.00089539, TIME: 35365.4s
STEP [98960], EPOCH [60/100], ITER [666/1666] 
LOSS: 0.00081985, TIME: 35372.8s
STEP [98980], EPOCH [60/100], ITER [686/1666] 
LOSS: 0.00073779, TIME: 35380.1s
STEP [99000], EPOCH [60/100], ITER [706/1666] 
LOSS: 0.00078970, TIME: 35387.4s
STEP [99020], EPOCH [60/100], ITER [726/1666] 
LOSS: 0.00091905, TIME: 35394.7s
STEP [99040], EPOCH [60/100], ITER [746/1666] 
LOSS: 0.00119718, TIME: 35402.1s
STEP [99060], EPOCH [60/100], ITER [766/1666] 
LOSS: 0.00095747, TIME: 35409.4s
STEP [99080], EPOCH [60/100], ITER [786/1666] 
LOSS: 0.00051453, TIME: 35416.7s
STEP [99100], EPOCH [60/100], ITER [806/1666] 
LOSS: 0.00067814, TIME: 35424.0s
STEP [99120], EPOCH [60/100], ITER [826/1666] 
LOSS: 0.00203837, TIME: 35431.3s
STEP [99140], EPOCH [60/100], ITER [846/1666] 
LOSS: 0.00153423, TIME: 35438.6s
STEP [99160], EPOCH [60/100], ITER [866/1666] 
LOSS: 0.00050268, TIME: 35445.9s
STEP [99180], EPOCH [60/100], ITER [886/1666] 
LOSS: 0.00052050, TIME: 35453.3s
STEP [99200], EPOCH [60/100], ITER [906/1666] 
LOSS: 0.00076022, TIME: 35460.6s
STEP [99220], EPOCH [60/100], ITER [926/1666] 
LOSS: 0.00107747, TIME: 35467.9s
STEP [99240], EPOCH [60/100], ITER [946/1666] 
LOSS: 0.00080459, TIME: 35475.2s
STEP [99260], EPOCH [60/100], ITER [966/1666] 
LOSS: 0.00071370, TIME: 35482.5s
STEP [99280], EPOCH [60/100], ITER [986/1666] 
LOSS: 0.00061199, TIME: 35489.9s
STEP [99300], EPOCH [60/100], ITER [1006/1666] 
LOSS: 0.00086232, TIME: 35497.2s
STEP [99320], EPOCH [60/100], ITER [1026/1666] 
LOSS: 0.00062745, TIME: 35504.5s
STEP [99340], EPOCH [60/100], ITER [1046/1666] 
LOSS: 0.00083177, TIME: 35511.8s
STEP [99360], EPOCH [60/100], ITER [1066/1666] 
LOSS: 0.00063910, TIME: 35519.1s
STEP [99380], EPOCH [60/100], ITER [1086/1666] 
LOSS: 0.00065013, TIME: 35526.4s
STEP [99400], EPOCH [60/100], ITER [1106/1666] 
LOSS: 0.00147022, TIME: 35533.7s
STEP [99420], EPOCH [60/100], ITER [1126/1666] 
LOSS: 0.00056436, TIME: 35541.1s
STEP [99440], EPOCH [60/100], ITER [1146/1666] 
LOSS: 0.00080561, TIME: 35548.4s
STEP [99460], EPOCH [60/100], ITER [1166/1666] 
LOSS: 0.00127077, TIME: 35555.7s
STEP [99480], EPOCH [60/100], ITER [1186/1666] 
LOSS: 0.00074209, TIME: 35563.0s
STEP [99500], EPOCH [60/100], ITER [1206/1666] 
LOSS: 0.00121228, TIME: 35570.3s
STEP [99520], EPOCH [60/100], ITER [1226/1666] 
LOSS: 0.00137209, TIME: 35577.7s
STEP [99540], EPOCH [60/100], ITER [1246/1666] 
LOSS: 0.00057362, TIME: 35585.0s
STEP [99560], EPOCH [60/100], ITER [1266/1666] 
LOSS: 0.00111172, TIME: 35592.3s
STEP [99580], EPOCH [60/100], ITER [1286/1666] 
LOSS: 0.00067053, TIME: 35599.7s
STEP [99600], EPOCH [60/100], ITER [1306/1666] 
LOSS: 0.00096070, TIME: 35607.0s
STEP [99620], EPOCH [60/100], ITER [1326/1666] 
LOSS: 0.00066738, TIME: 35614.3s
STEP [99640], EPOCH [60/100], ITER [1346/1666] 
LOSS: 0.00079003, TIME: 35621.6s
STEP [99660], EPOCH [60/100], ITER [1366/1666] 
LOSS: 0.00050353, TIME: 35629.0s
STEP [99680], EPOCH [60/100], ITER [1386/1666] 
LOSS: 0.00081951, TIME: 35636.3s
STEP [99700], EPOCH [60/100], ITER [1406/1666] 
LOSS: 0.00092895, TIME: 35643.6s
STEP [99720], EPOCH [60/100], ITER [1426/1666] 
LOSS: 0.00055486, TIME: 35650.9s
STEP [99740], EPOCH [60/100], ITER [1446/1666] 
LOSS: 0.00065332, TIME: 35658.2s
STEP [99760], EPOCH [60/100], ITER [1466/1666] 
LOSS: 0.00079252, TIME: 35665.5s
STEP [99780], EPOCH [60/100], ITER [1486/1666] 
LOSS: 0.00059435, TIME: 35672.8s
STEP [99800], EPOCH [60/100], ITER [1506/1666] 
LOSS: 0.00048140, TIME: 35680.1s
STEP [99820], EPOCH [60/100], ITER [1526/1666] 
LOSS: 0.00085334, TIME: 35687.4s
STEP [99840], EPOCH [60/100], ITER [1546/1666] 
LOSS: 0.00056412, TIME: 35694.8s
STEP [99860], EPOCH [60/100], ITER [1566/1666] 
LOSS: 0.00057039, TIME: 35702.1s
STEP [99880], EPOCH [60/100], ITER [1586/1666] 
LOSS: 0.00120760, TIME: 35709.4s
STEP [99900], EPOCH [60/100], ITER [1606/1666] 
LOSS: 0.00065520, TIME: 35716.7s
STEP [99920], EPOCH [60/100], ITER [1626/1666] 
LOSS: 0.00055469, TIME: 35724.0s
STEP [99940], EPOCH [60/100], ITER [1646/1666] 
LOSS: 0.00053593, TIME: 35731.3s
STEP [99960], EPOCH [60/100], ITER [1666/1666] 
LOSS: 0.00085959, TIME: 35738.5s
STEP [99980], EPOCH [61/100], ITER [20/1666] 
LOSS: 0.00105597, TIME: 35755.4s
STEP [100000], EPOCH [61/100], ITER [40/1666] 
LOSS: 0.00138467, TIME: 35762.7s
STEP [100020], EPOCH [61/100], ITER [60/1666] 
LOSS: 0.00074575, TIME: 35770.1s
STEP [100040], EPOCH [61/100], ITER [80/1666] 
LOSS: 0.00068913, TIME: 35777.4s
STEP [100060], EPOCH [61/100], ITER [100/1666] 
LOSS: 0.00092283, TIME: 35784.7s
STEP [100080], EPOCH [61/100], ITER [120/1666] 
LOSS: 0.00075634, TIME: 35792.0s
STEP [100100], EPOCH [61/100], ITER [140/1666] 
LOSS: 0.00079958, TIME: 35799.3s
STEP [100120], EPOCH [61/100], ITER [160/1666] 
LOSS: 0.00059613, TIME: 35806.6s
STEP [100140], EPOCH [61/100], ITER [180/1666] 
LOSS: 0.00105213, TIME: 35813.9s
STEP [100160], EPOCH [61/100], ITER [200/1666] 
LOSS: 0.00113363, TIME: 35821.2s
STEP [100180], EPOCH [61/100], ITER [220/1666] 
LOSS: 0.00070551, TIME: 35828.6s
STEP [100200], EPOCH [61/100], ITER [240/1666] 
LOSS: 0.00141168, TIME: 35835.9s
STEP [100220], EPOCH [61/100], ITER [260/1666] 
LOSS: 0.00065985, TIME: 35843.2s
STEP [100240], EPOCH [61/100], ITER [280/1666] 
LOSS: 0.00187387, TIME: 35850.6s
STEP [100260], EPOCH [61/100], ITER [300/1666] 
LOSS: 0.00124806, TIME: 35857.9s
STEP [100280], EPOCH [61/100], ITER [320/1666] 
LOSS: 0.00077164, TIME: 35865.2s
STEP [100300], EPOCH [61/100], ITER [340/1666] 
LOSS: 0.00057303, TIME: 35872.6s
STEP [100320], EPOCH [61/100], ITER [360/1666] 
LOSS: 0.00093051, TIME: 35879.9s
STEP [100340], EPOCH [61/100], ITER [380/1666] 
LOSS: 0.00062889, TIME: 35887.2s
STEP [100360], EPOCH [61/100], ITER [400/1666] 
LOSS: 0.00081978, TIME: 35894.5s
STEP [100380], EPOCH [61/100], ITER [420/1666] 
LOSS: 0.00083484, TIME: 35901.8s
STEP [100400], EPOCH [61/100], ITER [440/1666] 
LOSS: 0.00072168, TIME: 35909.1s
STEP [100420], EPOCH [61/100], ITER [460/1666] 
LOSS: 0.00078451, TIME: 35916.4s
STEP [100440], EPOCH [61/100], ITER [480/1666] 
LOSS: 0.00106062, TIME: 35923.8s
STEP [100460], EPOCH [61/100], ITER [500/1666] 
LOSS: 0.00126407, TIME: 35931.1s
STEP [100480], EPOCH [61/100], ITER [520/1666] 
LOSS: 0.00105609, TIME: 35938.4s
STEP [100500], EPOCH [61/100], ITER [540/1666] 
LOSS: 0.00064035, TIME: 35945.7s
STEP [100520], EPOCH [61/100], ITER [560/1666] 
LOSS: 0.00069858, TIME: 35953.0s
STEP [100540], EPOCH [61/100], ITER [580/1666] 
LOSS: 0.00069072, TIME: 35960.4s
STEP [100560], EPOCH [61/100], ITER [600/1666] 
LOSS: 0.00064404, TIME: 35967.7s
STEP [100580], EPOCH [61/100], ITER [620/1666] 
LOSS: 0.00083983, TIME: 35975.0s
STEP [100600], EPOCH [61/100], ITER [640/1666] 
LOSS: 0.00077640, TIME: 35982.3s
STEP [100620], EPOCH [61/100], ITER [660/1666] 
LOSS: 0.00052392, TIME: 35989.6s
STEP [100640], EPOCH [61/100], ITER [680/1666] 
LOSS: 0.00104338, TIME: 35996.9s
STEP [100660], EPOCH [61/100], ITER [700/1666] 
LOSS: 0.00059480, TIME: 36004.3s
STEP [100680], EPOCH [61/100], ITER [720/1666] 
LOSS: 0.00046756, TIME: 36011.6s
STEP [100700], EPOCH [61/100], ITER [740/1666] 
LOSS: 0.00059043, TIME: 36018.9s
STEP [100720], EPOCH [61/100], ITER [760/1666] 
LOSS: 0.00067992, TIME: 36026.2s
STEP [100740], EPOCH [61/100], ITER [780/1666] 
LOSS: 0.00062304, TIME: 36033.5s
STEP [100760], EPOCH [61/100], ITER [800/1666] 
LOSS: 0.00091152, TIME: 36040.8s
STEP [100780], EPOCH [61/100], ITER [820/1666] 
LOSS: 0.00101025, TIME: 36048.1s
STEP [100800], EPOCH [61/100], ITER [840/1666] 
LOSS: 0.00076110, TIME: 36055.4s
STEP [100820], EPOCH [61/100], ITER [860/1666] 
LOSS: 0.00063954, TIME: 36062.7s
STEP [100840], EPOCH [61/100], ITER [880/1666] 
LOSS: 0.00088086, TIME: 36070.1s
STEP [100860], EPOCH [61/100], ITER [900/1666] 
LOSS: 0.00074396, TIME: 36077.4s
STEP [100880], EPOCH [61/100], ITER [920/1666] 
LOSS: 0.00138684, TIME: 36084.7s
STEP [100900], EPOCH [61/100], ITER [940/1666] 
LOSS: 0.00070481, TIME: 36092.0s
STEP [100920], EPOCH [61/100], ITER [960/1666] 
LOSS: 0.00102372, TIME: 36099.4s
STEP [100940], EPOCH [61/100], ITER [980/1666] 
LOSS: 0.00060269, TIME: 36106.7s
STEP [100960], EPOCH [61/100], ITER [1000/1666] 
LOSS: 0.00079571, TIME: 36114.0s
STEP [100980], EPOCH [61/100], ITER [1020/1666] 
LOSS: 0.00078498, TIME: 36121.3s
STEP [101000], EPOCH [61/100], ITER [1040/1666] 
LOSS: 0.00041199, TIME: 36128.6s
STEP [101020], EPOCH [61/100], ITER [1060/1666] 
LOSS: 0.00117655, TIME: 36136.0s
STEP [101040], EPOCH [61/100], ITER [1080/1666] 
LOSS: 0.00059298, TIME: 36143.3s
STEP [101060], EPOCH [61/100], ITER [1100/1666] 
LOSS: 0.00180565, TIME: 36150.6s
STEP [101080], EPOCH [61/100], ITER [1120/1666] 
LOSS: 0.00090995, TIME: 36157.9s
STEP [101100], EPOCH [61/100], ITER [1140/1666] 
LOSS: 0.00071504, TIME: 36165.2s
STEP [101120], EPOCH [61/100], ITER [1160/1666] 
LOSS: 0.00082926, TIME: 36172.5s
STEP [101140], EPOCH [61/100], ITER [1180/1666] 
LOSS: 0.00105544, TIME: 36179.9s
STEP [101160], EPOCH [61/100], ITER [1200/1666] 
LOSS: 0.00223270, TIME: 36187.2s
STEP [101180], EPOCH [61/100], ITER [1220/1666] 
LOSS: 0.00078677, TIME: 36194.5s
STEP [101200], EPOCH [61/100], ITER [1240/1666] 
LOSS: 0.00068316, TIME: 36201.8s
STEP [101220], EPOCH [61/100], ITER [1260/1666] 
LOSS: 0.00121198, TIME: 36209.2s
STEP [101240], EPOCH [61/100], ITER [1280/1666] 
LOSS: 0.00081794, TIME: 36216.5s
STEP [101260], EPOCH [61/100], ITER [1300/1666] 
LOSS: 0.00060771, TIME: 36223.8s
STEP [101280], EPOCH [61/100], ITER [1320/1666] 
LOSS: 0.00069631, TIME: 36231.2s
STEP [101300], EPOCH [61/100], ITER [1340/1666] 
LOSS: 0.00085536, TIME: 36238.5s
STEP [101320], EPOCH [61/100], ITER [1360/1666] 
LOSS: 0.00128003, TIME: 36245.9s
STEP [101340], EPOCH [61/100], ITER [1380/1666] 
LOSS: 0.00064297, TIME: 36253.2s
STEP [101360], EPOCH [61/100], ITER [1400/1666] 
LOSS: 0.00091417, TIME: 36260.5s
STEP [101380], EPOCH [61/100], ITER [1420/1666] 
LOSS: 0.00066444, TIME: 36267.9s
STEP [101400], EPOCH [61/100], ITER [1440/1666] 
LOSS: 0.00075874, TIME: 36275.2s
STEP [101420], EPOCH [61/100], ITER [1460/1666] 
LOSS: 0.00071942, TIME: 36282.5s
STEP [101440], EPOCH [61/100], ITER [1480/1666] 
LOSS: 0.00067786, TIME: 36289.8s
STEP [101460], EPOCH [61/100], ITER [1500/1666] 
LOSS: 0.00075295, TIME: 36297.1s
STEP [101480], EPOCH [61/100], ITER [1520/1666] 
LOSS: 0.00066213, TIME: 36304.5s
STEP [101500], EPOCH [61/100], ITER [1540/1666] 
LOSS: 0.00074942, TIME: 36311.8s
STEP [101520], EPOCH [61/100], ITER [1560/1666] 
LOSS: 0.00128191, TIME: 36319.1s
STEP [101540], EPOCH [61/100], ITER [1580/1666] 
LOSS: 0.00075856, TIME: 36326.4s
STEP [101560], EPOCH [61/100], ITER [1600/1666] 
LOSS: 0.00095398, TIME: 36333.7s
STEP [101580], EPOCH [61/100], ITER [1620/1666] 
LOSS: 0.00100896, TIME: 36341.1s
STEP [101600], EPOCH [61/100], ITER [1640/1666] 
LOSS: 0.00129448, TIME: 36348.4s
STEP [101620], EPOCH [61/100], ITER [1660/1666] 
LOSS: 0.00050312, TIME: 36355.7s
STEP [101640], EPOCH [62/100], ITER [14/1666] 
LOSS: 0.00076547, TIME: 36372.3s
STEP [101660], EPOCH [62/100], ITER [34/1666] 
LOSS: 0.00061363, TIME: 36379.6s
STEP [101680], EPOCH [62/100], ITER [54/1666] 
LOSS: 0.00099594, TIME: 36387.0s
STEP [101700], EPOCH [62/100], ITER [74/1666] 
LOSS: 0.00092018, TIME: 36394.3s
STEP [101720], EPOCH [62/100], ITER [94/1666] 
LOSS: 0.00081493, TIME: 36401.6s
STEP [101740], EPOCH [62/100], ITER [114/1666] 
LOSS: 0.00088533, TIME: 36408.9s
STEP [101760], EPOCH [62/100], ITER [134/1666] 
LOSS: 0.00049923, TIME: 36416.3s
STEP [101780], EPOCH [62/100], ITER [154/1666] 
LOSS: 0.00070981, TIME: 36423.6s
STEP [101800], EPOCH [62/100], ITER [174/1666] 
LOSS: 0.00096542, TIME: 36430.8s
STEP [101820], EPOCH [62/100], ITER [194/1666] 
LOSS: 0.00053623, TIME: 36438.1s
STEP [101840], EPOCH [62/100], ITER [214/1666] 
LOSS: 0.00092221, TIME: 36445.5s
STEP [101860], EPOCH [62/100], ITER [234/1666] 
LOSS: 0.00076791, TIME: 36452.8s
STEP [101880], EPOCH [62/100], ITER [254/1666] 
LOSS: 0.00073101, TIME: 36460.1s
STEP [101900], EPOCH [62/100], ITER [274/1666] 
LOSS: 0.00082789, TIME: 36467.5s
STEP [101920], EPOCH [62/100], ITER [294/1666] 
LOSS: 0.00092852, TIME: 36474.8s
STEP [101940], EPOCH [62/100], ITER [314/1666] 
LOSS: 0.00079135, TIME: 36482.1s
STEP [101960], EPOCH [62/100], ITER [334/1666] 
LOSS: 0.00063202, TIME: 36489.5s
STEP [101980], EPOCH [62/100], ITER [354/1666] 
LOSS: 0.00079318, TIME: 36496.8s
STEP [102000], EPOCH [62/100], ITER [374/1666] 
LOSS: 0.00091678, TIME: 36504.1s
STEP [102020], EPOCH [62/100], ITER [394/1666] 
LOSS: 0.00051731, TIME: 36511.4s
STEP [102040], EPOCH [62/100], ITER [414/1666] 
LOSS: 0.00124604, TIME: 36518.7s
STEP [102060], EPOCH [62/100], ITER [434/1666] 
LOSS: 0.00048807, TIME: 36526.0s
STEP [102080], EPOCH [62/100], ITER [454/1666] 
LOSS: 0.00082569, TIME: 36533.4s
STEP [102100], EPOCH [62/100], ITER [474/1666] 
LOSS: 0.00046609, TIME: 36540.7s
STEP [102120], EPOCH [62/100], ITER [494/1666] 
LOSS: 0.00074543, TIME: 36548.1s
STEP [102140], EPOCH [62/100], ITER [514/1666] 
LOSS: 0.00059426, TIME: 36555.4s
STEP [102160], EPOCH [62/100], ITER [534/1666] 
LOSS: 0.00074449, TIME: 36562.7s
STEP [102180], EPOCH [62/100], ITER [554/1666] 
LOSS: 0.00085108, TIME: 36570.0s
STEP [102200], EPOCH [62/100], ITER [574/1666] 
LOSS: 0.00112405, TIME: 36577.3s
STEP [102220], EPOCH [62/100], ITER [594/1666] 
LOSS: 0.00063241, TIME: 36584.7s
STEP [102240], EPOCH [62/100], ITER [614/1666] 
LOSS: 0.00120471, TIME: 36591.9s
STEP [102260], EPOCH [62/100], ITER [634/1666] 
LOSS: 0.00086473, TIME: 36599.3s
STEP [102280], EPOCH [62/100], ITER [654/1666] 
LOSS: 0.00048434, TIME: 36606.6s
STEP [102300], EPOCH [62/100], ITER [674/1666] 
LOSS: 0.00066286, TIME: 36613.9s
STEP [102320], EPOCH [62/100], ITER [694/1666] 
LOSS: 0.00055826, TIME: 36621.3s
STEP [102340], EPOCH [62/100], ITER [714/1666] 
LOSS: 0.00055875, TIME: 36628.6s
STEP [102360], EPOCH [62/100], ITER [734/1666] 
LOSS: 0.00071876, TIME: 36635.9s
STEP [102380], EPOCH [62/100], ITER [754/1666] 
LOSS: 0.00090468, TIME: 36643.2s
STEP [102400], EPOCH [62/100], ITER [774/1666] 
LOSS: 0.00069595, TIME: 36650.5s
STEP [102420], EPOCH [62/100], ITER [794/1666] 
LOSS: 0.00091378, TIME: 36657.8s
STEP [102440], EPOCH [62/100], ITER [814/1666] 
LOSS: 0.00101158, TIME: 36664.7s
STEP [102460], EPOCH [62/100], ITER [834/1666] 
LOSS: 0.00087304, TIME: 36668.6s
STEP [102480], EPOCH [62/100], ITER [854/1666] 
LOSS: 0.00078566, TIME: 36675.1s
STEP [102500], EPOCH [62/100], ITER [874/1666] 
LOSS: 0.00057249, TIME: 36682.4s
STEP [102520], EPOCH [62/100], ITER [894/1666] 
LOSS: 0.00057586, TIME: 36689.7s
STEP [102540], EPOCH [62/100], ITER [914/1666] 
LOSS: 0.00088712, TIME: 36697.0s
STEP [102560], EPOCH [62/100], ITER [934/1666] 
LOSS: 0.00086444, TIME: 36704.4s
STEP [102580], EPOCH [62/100], ITER [954/1666] 
LOSS: 0.00050951, TIME: 36711.7s
STEP [102600], EPOCH [62/100], ITER [974/1666] 
LOSS: 0.00112628, TIME: 36719.0s
STEP [102620], EPOCH [62/100], ITER [994/1666] 
LOSS: 0.00070960, TIME: 36726.3s
STEP [102640], EPOCH [62/100], ITER [1014/1666] 
LOSS: 0.00094233, TIME: 36733.6s
STEP [102660], EPOCH [62/100], ITER [1034/1666] 
LOSS: 0.00089770, TIME: 36740.9s
STEP [102680], EPOCH [62/100], ITER [1054/1666] 
LOSS: 0.00133438, TIME: 36748.2s
STEP [102700], EPOCH [62/100], ITER [1074/1666] 
LOSS: 0.00100284, TIME: 36755.6s
STEP [102720], EPOCH [62/100], ITER [1094/1666] 
LOSS: 0.00052869, TIME: 36762.9s
STEP [102740], EPOCH [62/100], ITER [1114/1666] 
LOSS: 0.00109596, TIME: 36770.2s
STEP [102760], EPOCH [62/100], ITER [1134/1666] 
LOSS: 0.00089561, TIME: 36777.5s
STEP [102780], EPOCH [62/100], ITER [1154/1666] 
LOSS: 0.00070653, TIME: 36784.9s
STEP [102800], EPOCH [62/100], ITER [1174/1666] 
LOSS: 0.00064348, TIME: 36792.2s
STEP [102820], EPOCH [62/100], ITER [1194/1666] 
LOSS: 0.00059361, TIME: 36799.5s
STEP [102840], EPOCH [62/100], ITER [1214/1666] 
LOSS: 0.00065752, TIME: 36806.8s
STEP [102860], EPOCH [62/100], ITER [1234/1666] 
LOSS: 0.00068278, TIME: 36814.1s
STEP [102880], EPOCH [62/100], ITER [1254/1666] 
LOSS: 0.00082683, TIME: 36821.4s
STEP [102900], EPOCH [62/100], ITER [1274/1666] 
LOSS: 0.00060957, TIME: 36828.8s
STEP [102920], EPOCH [62/100], ITER [1294/1666] 
LOSS: 0.00092207, TIME: 36836.2s
STEP [102940], EPOCH [62/100], ITER [1314/1666] 
LOSS: 0.00065192, TIME: 36843.6s
STEP [102960], EPOCH [62/100], ITER [1334/1666] 
LOSS: 0.00049661, TIME: 36850.9s
STEP [102980], EPOCH [62/100], ITER [1354/1666] 
LOSS: 0.00063015, TIME: 36858.3s
STEP [103000], EPOCH [62/100], ITER [1374/1666] 
LOSS: 0.00090858, TIME: 36865.6s
STEP [103020], EPOCH [62/100], ITER [1394/1666] 
LOSS: 0.00078838, TIME: 36873.0s
STEP [103040], EPOCH [62/100], ITER [1414/1666] 
LOSS: 0.00050360, TIME: 36880.3s
STEP [103060], EPOCH [62/100], ITER [1434/1666] 
LOSS: 0.00084839, TIME: 36887.6s
STEP [103080], EPOCH [62/100], ITER [1454/1666] 
LOSS: 0.00068549, TIME: 36894.9s
STEP [103100], EPOCH [62/100], ITER [1474/1666] 
LOSS: 0.00085275, TIME: 36902.3s
STEP [103120], EPOCH [62/100], ITER [1494/1666] 
LOSS: 0.00081699, TIME: 36909.5s
STEP [103140], EPOCH [62/100], ITER [1514/1666] 
LOSS: 0.00088374, TIME: 36916.9s
STEP [103160], EPOCH [62/100], ITER [1534/1666] 
LOSS: 0.00063370, TIME: 36924.2s
STEP [103180], EPOCH [62/100], ITER [1554/1666] 
LOSS: 0.00067060, TIME: 36931.5s
STEP [103200], EPOCH [62/100], ITER [1574/1666] 
LOSS: 0.00079653, TIME: 36938.8s
STEP [103220], EPOCH [62/100], ITER [1594/1666] 
LOSS: 0.00082359, TIME: 36946.1s
STEP [103240], EPOCH [62/100], ITER [1614/1666] 
LOSS: 0.00086535, TIME: 36953.4s
STEP [103260], EPOCH [62/100], ITER [1634/1666] 
LOSS: 0.00082141, TIME: 36960.8s
STEP [103280], EPOCH [62/100], ITER [1654/1666] 
LOSS: 0.00110915, TIME: 36968.1s
STEP [103300], EPOCH [63/100], ITER [8/1666] 
LOSS: 0.00046091, TIME: 36984.7s
STEP [103320], EPOCH [63/100], ITER [28/1666] 
LOSS: 0.00044305, TIME: 36992.1s
STEP [103340], EPOCH [63/100], ITER [48/1666] 
LOSS: 0.00086422, TIME: 36999.4s
STEP [103360], EPOCH [63/100], ITER [68/1666] 
LOSS: 0.00078758, TIME: 37006.7s
STEP [103380], EPOCH [63/100], ITER [88/1666] 
LOSS: 0.00102781, TIME: 37014.0s
STEP [103400], EPOCH [63/100], ITER [108/1666] 
LOSS: 0.00082759, TIME: 37021.3s
STEP [103420], EPOCH [63/100], ITER [128/1666] 
LOSS: 0.00090814, TIME: 37028.6s
STEP [103440], EPOCH [63/100], ITER [148/1666] 
LOSS: 0.00058639, TIME: 37035.9s
STEP [103460], EPOCH [63/100], ITER [168/1666] 
LOSS: 0.00064858, TIME: 37043.3s
STEP [103480], EPOCH [63/100], ITER [188/1666] 
LOSS: 0.00098790, TIME: 37050.6s
STEP [103500], EPOCH [63/100], ITER [208/1666] 
LOSS: 0.00076330, TIME: 37057.9s
STEP [103520], EPOCH [63/100], ITER [228/1666] 
LOSS: 0.00088138, TIME: 37065.2s
STEP [103540], EPOCH [63/100], ITER [248/1666] 
LOSS: 0.00111402, TIME: 37072.5s
STEP [103560], EPOCH [63/100], ITER [268/1666] 
LOSS: 0.00061262, TIME: 37079.8s
STEP [103580], EPOCH [63/100], ITER [288/1666] 
LOSS: 0.00097842, TIME: 37087.1s
STEP [103600], EPOCH [63/100], ITER [308/1666] 
LOSS: 0.00066986, TIME: 37094.4s
STEP [103620], EPOCH [63/100], ITER [328/1666] 
LOSS: 0.00085545, TIME: 37101.7s
STEP [103640], EPOCH [63/100], ITER [348/1666] 
LOSS: 0.00127448, TIME: 37109.1s
STEP [103660], EPOCH [63/100], ITER [368/1666] 
LOSS: 0.00056818, TIME: 37116.4s
STEP [103680], EPOCH [63/100], ITER [388/1666] 
LOSS: 0.00087388, TIME: 37123.7s
STEP [103700], EPOCH [63/100], ITER [408/1666] 
LOSS: 0.00048108, TIME: 37131.0s
STEP [103720], EPOCH [63/100], ITER [428/1666] 
LOSS: 0.00052670, TIME: 37138.3s
STEP [103740], EPOCH [63/100], ITER [448/1666] 
LOSS: 0.00105273, TIME: 37145.6s
STEP [103760], EPOCH [63/100], ITER [468/1666] 
LOSS: 0.00077147, TIME: 37152.9s
STEP [103780], EPOCH [63/100], ITER [488/1666] 
LOSS: 0.00068129, TIME: 37160.2s
STEP [103800], EPOCH [63/100], ITER [508/1666] 
LOSS: 0.00117977, TIME: 37167.5s
STEP [103820], EPOCH [63/100], ITER [528/1666] 
LOSS: 0.00087355, TIME: 37174.8s
STEP [103840], EPOCH [63/100], ITER [548/1666] 
LOSS: 0.00064528, TIME: 37182.1s
STEP [103860], EPOCH [63/100], ITER [568/1666] 
LOSS: 0.00129493, TIME: 37189.5s
STEP [103880], EPOCH [63/100], ITER [588/1666] 
LOSS: 0.00077049, TIME: 37196.8s
STEP [103900], EPOCH [63/100], ITER [608/1666] 
LOSS: 0.00172084, TIME: 37204.1s
STEP [103920], EPOCH [63/100], ITER [628/1666] 
LOSS: 0.00097325, TIME: 37211.4s
STEP [103940], EPOCH [63/100], ITER [648/1666] 
LOSS: 0.00066347, TIME: 37218.7s
STEP [103960], EPOCH [63/100], ITER [668/1666] 
LOSS: 0.00103962, TIME: 37226.0s
STEP [103980], EPOCH [63/100], ITER [688/1666] 
LOSS: 0.00095128, TIME: 37233.3s
STEP [104000], EPOCH [63/100], ITER [708/1666] 
LOSS: 0.00059367, TIME: 37240.7s
STEP [104020], EPOCH [63/100], ITER [728/1666] 
LOSS: 0.00063718, TIME: 37248.0s
STEP [104040], EPOCH [63/100], ITER [748/1666] 
LOSS: 0.00092084, TIME: 37255.3s
STEP [104060], EPOCH [63/100], ITER [768/1666] 
LOSS: 0.00096428, TIME: 37262.6s
STEP [104080], EPOCH [63/100], ITER [788/1666] 
LOSS: 0.00071592, TIME: 37269.9s
STEP [104100], EPOCH [63/100], ITER [808/1666] 
LOSS: 0.00088120, TIME: 37277.3s
STEP [104120], EPOCH [63/100], ITER [828/1666] 
LOSS: 0.00115776, TIME: 37284.6s
STEP [104140], EPOCH [63/100], ITER [848/1666] 
LOSS: 0.00104313, TIME: 37291.8s
STEP [104160], EPOCH [63/100], ITER [868/1666] 
LOSS: 0.00043059, TIME: 37299.1s
STEP [104180], EPOCH [63/100], ITER [888/1666] 
LOSS: 0.00091745, TIME: 37306.4s
STEP [104200], EPOCH [63/100], ITER [908/1666] 
LOSS: 0.00098254, TIME: 37313.7s
STEP [104220], EPOCH [63/100], ITER [928/1666] 
LOSS: 0.00084253, TIME: 37321.0s
STEP [104240], EPOCH [63/100], ITER [948/1666] 
LOSS: 0.00077872, TIME: 37328.3s
STEP [104260], EPOCH [63/100], ITER [968/1666] 
LOSS: 0.00066562, TIME: 37335.6s
STEP [104280], EPOCH [63/100], ITER [988/1666] 
LOSS: 0.00024346, TIME: 37342.9s
STEP [104300], EPOCH [63/100], ITER [1008/1666] 
LOSS: 0.00093886, TIME: 37350.3s
STEP [104320], EPOCH [63/100], ITER [1028/1666] 
LOSS: 0.00079176, TIME: 37357.6s
STEP [104340], EPOCH [63/100], ITER [1048/1666] 
LOSS: 0.00118568, TIME: 37364.9s
STEP [104360], EPOCH [63/100], ITER [1068/1666] 
LOSS: 0.00083977, TIME: 37372.2s
STEP [104380], EPOCH [63/100], ITER [1088/1666] 
LOSS: 0.00067392, TIME: 37379.5s
STEP [104400], EPOCH [63/100], ITER [1108/1666] 
LOSS: 0.00080901, TIME: 37386.8s
STEP [104420], EPOCH [63/100], ITER [1128/1666] 
LOSS: 0.00071310, TIME: 37394.1s
STEP [104440], EPOCH [63/100], ITER [1148/1666] 
LOSS: 0.00074625, TIME: 37401.4s
STEP [104460], EPOCH [63/100], ITER [1168/1666] 
LOSS: 0.00202595, TIME: 37408.8s
STEP [104480], EPOCH [63/100], ITER [1188/1666] 
LOSS: 0.00077368, TIME: 37416.1s
STEP [104500], EPOCH [63/100], ITER [1208/1666] 
LOSS: 0.00112243, TIME: 37423.4s
STEP [104520], EPOCH [63/100], ITER [1228/1666] 
LOSS: 0.00085168, TIME: 37430.7s
STEP [104540], EPOCH [63/100], ITER [1248/1666] 
LOSS: 0.00087016, TIME: 37438.1s
STEP [104560], EPOCH [63/100], ITER [1268/1666] 
LOSS: 0.00113610, TIME: 37445.4s
STEP [104580], EPOCH [63/100], ITER [1288/1666] 
LOSS: 0.00059173, TIME: 37452.7s
STEP [104600], EPOCH [63/100], ITER [1308/1666] 
LOSS: 0.00052726, TIME: 37460.0s
STEP [104620], EPOCH [63/100], ITER [1328/1666] 
LOSS: 0.00118520, TIME: 37467.4s
STEP [104640], EPOCH [63/100], ITER [1348/1666] 
LOSS: 0.00068199, TIME: 37474.7s
STEP [104660], EPOCH [63/100], ITER [1368/1666] 
LOSS: 0.00107808, TIME: 37482.1s
STEP [104680], EPOCH [63/100], ITER [1388/1666] 
LOSS: 0.00084825, TIME: 37489.4s
STEP [104700], EPOCH [63/100], ITER [1408/1666] 
LOSS: 0.00093511, TIME: 37496.7s
STEP [104720], EPOCH [63/100], ITER [1428/1666] 
LOSS: 0.00051141, TIME: 37504.1s
STEP [104740], EPOCH [63/100], ITER [1448/1666] 
LOSS: 0.00132009, TIME: 37511.4s
STEP [104760], EPOCH [63/100], ITER [1468/1666] 
LOSS: 0.00076910, TIME: 37518.7s
STEP [104780], EPOCH [63/100], ITER [1488/1666] 
LOSS: 0.00082822, TIME: 37525.9s
STEP [104800], EPOCH [63/100], ITER [1508/1666] 
LOSS: 0.00066625, TIME: 37533.3s
STEP [104820], EPOCH [63/100], ITER [1528/1666] 
LOSS: 0.00079698, TIME: 37540.6s
STEP [104840], EPOCH [63/100], ITER [1548/1666] 
LOSS: 0.00114748, TIME: 37547.9s
STEP [104860], EPOCH [63/100], ITER [1568/1666] 
LOSS: 0.00111925, TIME: 37555.2s
STEP [104880], EPOCH [63/100], ITER [1588/1666] 
LOSS: 0.00067963, TIME: 37562.5s
STEP [104900], EPOCH [63/100], ITER [1608/1666] 
LOSS: 0.00102625, TIME: 37569.8s
STEP [104920], EPOCH [63/100], ITER [1628/1666] 
LOSS: 0.00084887, TIME: 37577.1s
STEP [104940], EPOCH [63/100], ITER [1648/1666] 
LOSS: 0.00058130, TIME: 37584.5s
STEP [104960], EPOCH [64/100], ITER [2/1666] 
LOSS: 0.00072543, TIME: 37601.2s
STEP [104980], EPOCH [64/100], ITER [22/1666] 
LOSS: 0.00088420, TIME: 37608.5s
STEP [105000], EPOCH [64/100], ITER [42/1666] 
LOSS: 0.00098932, TIME: 37615.8s
STEP [105020], EPOCH [64/100], ITER [62/1666] 
LOSS: 0.00116381, TIME: 37623.2s
STEP [105040], EPOCH [64/100], ITER [82/1666] 
LOSS: 0.00051431, TIME: 37630.5s
STEP [105060], EPOCH [64/100], ITER [102/1666] 
LOSS: 0.00084792, TIME: 37637.8s
STEP [105080], EPOCH [64/100], ITER [122/1666] 
LOSS: 0.00069976, TIME: 37645.1s
STEP [105100], EPOCH [64/100], ITER [142/1666] 
LOSS: 0.00064136, TIME: 37652.4s
STEP [105120], EPOCH [64/100], ITER [162/1666] 
LOSS: 0.00050414, TIME: 37659.7s
STEP [105140], EPOCH [64/100], ITER [182/1666] 
LOSS: 0.00091342, TIME: 37667.0s
STEP [105160], EPOCH [64/100], ITER [202/1666] 
LOSS: 0.00064310, TIME: 37674.3s
STEP [105180], EPOCH [64/100], ITER [222/1666] 
LOSS: 0.00104135, TIME: 37681.6s
STEP [105200], EPOCH [64/100], ITER [242/1666] 
LOSS: 0.00069782, TIME: 37688.9s
STEP [105220], EPOCH [64/100], ITER [262/1666] 
LOSS: 0.00068191, TIME: 37696.3s
STEP [105240], EPOCH [64/100], ITER [282/1666] 
LOSS: 0.00091534, TIME: 37703.6s
STEP [105260], EPOCH [64/100], ITER [302/1666] 
LOSS: 0.00111454, TIME: 37710.9s
STEP [105280], EPOCH [64/100], ITER [322/1666] 
LOSS: 0.00078701, TIME: 37718.2s
STEP [105300], EPOCH [64/100], ITER [342/1666] 
LOSS: 0.00100115, TIME: 37725.5s
STEP [105320], EPOCH [64/100], ITER [362/1666] 
LOSS: 0.00071062, TIME: 37732.8s
STEP [105340], EPOCH [64/100], ITER [382/1666] 
LOSS: 0.00077197, TIME: 37740.1s
STEP [105360], EPOCH [64/100], ITER [402/1666] 
LOSS: 0.00065647, TIME: 37747.4s
STEP [105380], EPOCH [64/100], ITER [422/1666] 
LOSS: 0.00077737, TIME: 37754.7s
STEP [105400], EPOCH [64/100], ITER [442/1666] 
LOSS: 0.00062720, TIME: 37762.0s
STEP [105420], EPOCH [64/100], ITER [462/1666] 
LOSS: 0.00053588, TIME: 37769.3s
STEP [105440], EPOCH [64/100], ITER [482/1666] 
LOSS: 0.00094368, TIME: 37776.6s
STEP [105460], EPOCH [64/100], ITER [502/1666] 
LOSS: 0.00082520, TIME: 37783.9s
STEP [105480], EPOCH [64/100], ITER [522/1666] 
LOSS: 0.00134047, TIME: 37791.2s
STEP [105500], EPOCH [64/100], ITER [542/1666] 
LOSS: 0.00076715, TIME: 37798.5s
STEP [105520], EPOCH [64/100], ITER [562/1666] 
LOSS: 0.00066235, TIME: 37805.9s
STEP [105540], EPOCH [64/100], ITER [582/1666] 
LOSS: 0.00114182, TIME: 37813.2s
STEP [105560], EPOCH [64/100], ITER [602/1666] 
LOSS: 0.00102456, TIME: 37820.5s
STEP [105580], EPOCH [64/100], ITER [622/1666] 
LOSS: 0.00081307, TIME: 37827.8s
STEP [105600], EPOCH [64/100], ITER [642/1666] 
LOSS: 0.00055404, TIME: 37835.1s
STEP [105620], EPOCH [64/100], ITER [662/1666] 
LOSS: 0.00061465, TIME: 37842.4s
STEP [105640], EPOCH [64/100], ITER [682/1666] 
LOSS: 0.00039463, TIME: 37849.7s
STEP [105660], EPOCH [64/100], ITER [702/1666] 
LOSS: 0.00048187, TIME: 37857.0s
STEP [105680], EPOCH [64/100], ITER [722/1666] 
LOSS: 0.00070865, TIME: 37864.3s
STEP [105700], EPOCH [64/100], ITER [742/1666] 
LOSS: 0.00064767, TIME: 37871.7s
STEP [105720], EPOCH [64/100], ITER [762/1666] 
LOSS: 0.00072083, TIME: 37879.0s
STEP [105740], EPOCH [64/100], ITER [782/1666] 
LOSS: 0.00087784, TIME: 37886.3s
STEP [105760], EPOCH [64/100], ITER [802/1666] 
LOSS: 0.00085992, TIME: 37893.6s
STEP [105780], EPOCH [64/100], ITER [822/1666] 
LOSS: 0.00081115, TIME: 37900.9s
STEP [105800], EPOCH [64/100], ITER [842/1666] 
LOSS: 0.00048110, TIME: 37908.2s
STEP [105820], EPOCH [64/100], ITER [862/1666] 
LOSS: 0.00104236, TIME: 37915.5s
STEP [105840], EPOCH [64/100], ITER [882/1666] 
LOSS: 0.00137598, TIME: 37922.8s
STEP [105860], EPOCH [64/100], ITER [902/1666] 
LOSS: 0.00092252, TIME: 37930.1s
STEP [105880], EPOCH [64/100], ITER [922/1666] 
LOSS: 0.00075868, TIME: 37937.4s
STEP [105900], EPOCH [64/100], ITER [942/1666] 
LOSS: 0.00097000, TIME: 37944.7s
STEP [105920], EPOCH [64/100], ITER [962/1666] 
LOSS: 0.00073082, TIME: 37952.0s
STEP [105940], EPOCH [64/100], ITER [982/1666] 
LOSS: 0.00100192, TIME: 37959.4s
STEP [105960], EPOCH [64/100], ITER [1002/1666] 
LOSS: 0.00071424, TIME: 37966.7s
STEP [105980], EPOCH [64/100], ITER [1022/1666] 
LOSS: 0.00058192, TIME: 37974.0s
STEP [106000], EPOCH [64/100], ITER [1042/1666] 
LOSS: 0.00081606, TIME: 37981.3s
STEP [106020], EPOCH [64/100], ITER [1062/1666] 
LOSS: 0.00141640, TIME: 37988.6s
STEP [106040], EPOCH [64/100], ITER [1082/1666] 
LOSS: 0.00058152, TIME: 37996.0s
STEP [106060], EPOCH [64/100], ITER [1102/1666] 
LOSS: 0.00112725, TIME: 38003.3s
STEP [106080], EPOCH [64/100], ITER [1122/1666] 
LOSS: 0.00056448, TIME: 38010.6s
STEP [106100], EPOCH [64/100], ITER [1142/1666] 
LOSS: 0.00079548, TIME: 38017.9s
STEP [106120], EPOCH [64/100], ITER [1162/1666] 
LOSS: 0.00081007, TIME: 38025.2s
STEP [106140], EPOCH [64/100], ITER [1182/1666] 
LOSS: 0.00098689, TIME: 38032.5s
STEP [106160], EPOCH [64/100], ITER [1202/1666] 
LOSS: 0.00079718, TIME: 38039.9s
STEP [106180], EPOCH [64/100], ITER [1222/1666] 
LOSS: 0.00069928, TIME: 38047.2s
STEP [106200], EPOCH [64/100], ITER [1242/1666] 
LOSS: 0.00068963, TIME: 38054.5s
STEP [106220], EPOCH [64/100], ITER [1262/1666] 
LOSS: 0.00049408, TIME: 38061.8s
STEP [106240], EPOCH [64/100], ITER [1282/1666] 
LOSS: 0.00110026, TIME: 38069.1s
STEP [106260], EPOCH [64/100], ITER [1302/1666] 
LOSS: 0.00054484, TIME: 38076.4s
STEP [106280], EPOCH [64/100], ITER [1322/1666] 
LOSS: 0.00066759, TIME: 38083.8s
STEP [106300], EPOCH [64/100], ITER [1342/1666] 
LOSS: 0.00053770, TIME: 38091.1s
STEP [106320], EPOCH [64/100], ITER [1362/1666] 
LOSS: 0.00053342, TIME: 38098.4s
STEP [106340], EPOCH [64/100], ITER [1382/1666] 
LOSS: 0.00105920, TIME: 38105.7s
STEP [106360], EPOCH [64/100], ITER [1402/1666] 
LOSS: 0.00042656, TIME: 38113.0s
STEP [106380], EPOCH [64/100], ITER [1422/1666] 
LOSS: 0.00057779, TIME: 38120.3s
STEP [106400], EPOCH [64/100], ITER [1442/1666] 
LOSS: 0.00068193, TIME: 38127.6s
STEP [106420], EPOCH [64/100], ITER [1462/1666] 
LOSS: 0.00073670, TIME: 38134.9s
STEP [106440], EPOCH [64/100], ITER [1482/1666] 
LOSS: 0.00078418, TIME: 38142.2s
STEP [106460], EPOCH [64/100], ITER [1502/1666] 
LOSS: 0.00050338, TIME: 38149.5s
STEP [106480], EPOCH [64/100], ITER [1522/1666] 
LOSS: 0.00068758, TIME: 38156.8s
STEP [106500], EPOCH [64/100], ITER [1542/1666] 
LOSS: 0.00091984, TIME: 38164.1s
STEP [106520], EPOCH [64/100], ITER [1562/1666] 
LOSS: 0.00066991, TIME: 38171.4s
STEP [106540], EPOCH [64/100], ITER [1582/1666] 
LOSS: 0.00073572, TIME: 38178.7s
STEP [106560], EPOCH [64/100], ITER [1602/1666] 
LOSS: 0.00046092, TIME: 38186.1s
STEP [106580], EPOCH [64/100], ITER [1622/1666] 
LOSS: 0.00067275, TIME: 38193.4s
STEP [106600], EPOCH [64/100], ITER [1642/1666] 
LOSS: 0.00100185, TIME: 38200.7s
STEP [106620], EPOCH [64/100], ITER [1662/1666] 
LOSS: 0.00131389, TIME: 38208.0s
STEP [106640], EPOCH [65/100], ITER [16/1666] 
LOSS: 0.00069732, TIME: 38224.7s
STEP [106660], EPOCH [65/100], ITER [36/1666] 
LOSS: 0.00086394, TIME: 38232.0s
STEP [106680], EPOCH [65/100], ITER [56/1666] 
LOSS: 0.00063809, TIME: 38239.4s
STEP [106700], EPOCH [65/100], ITER [76/1666] 
LOSS: 0.00072080, TIME: 38246.7s
STEP [106720], EPOCH [65/100], ITER [96/1666] 
LOSS: 0.00066996, TIME: 38254.0s
STEP [106740], EPOCH [65/100], ITER [116/1666] 
LOSS: 0.00077858, TIME: 38261.3s
STEP [106760], EPOCH [65/100], ITER [136/1666] 
LOSS: 0.00086158, TIME: 38268.7s
STEP [106780], EPOCH [65/100], ITER [156/1666] 
LOSS: 0.00086353, TIME: 38276.0s
STEP [106800], EPOCH [65/100], ITER [176/1666] 
LOSS: 0.00074424, TIME: 38283.3s
STEP [106820], EPOCH [65/100], ITER [196/1666] 
LOSS: 0.00058359, TIME: 38290.7s
STEP [106840], EPOCH [65/100], ITER [216/1666] 
LOSS: 0.00048597, TIME: 38298.0s
STEP [106860], EPOCH [65/100], ITER [236/1666] 
LOSS: 0.00137107, TIME: 38305.3s
STEP [106880], EPOCH [65/100], ITER [256/1666] 
LOSS: 0.00055437, TIME: 38312.6s
STEP [106900], EPOCH [65/100], ITER [276/1666] 
LOSS: 0.00078878, TIME: 38319.9s
STEP [106920], EPOCH [65/100], ITER [296/1666] 
LOSS: 0.00078756, TIME: 38327.2s
STEP [106940], EPOCH [65/100], ITER [316/1666] 
LOSS: 0.00120141, TIME: 38334.5s
STEP [106960], EPOCH [65/100], ITER [336/1666] 
LOSS: 0.00065305, TIME: 38341.9s
STEP [106980], EPOCH [65/100], ITER [356/1666] 
LOSS: 0.00115561, TIME: 38349.2s
STEP [107000], EPOCH [65/100], ITER [376/1666] 
LOSS: 0.00067906, TIME: 38356.5s
STEP [107020], EPOCH [65/100], ITER [396/1666] 
LOSS: 0.00085076, TIME: 38363.8s
STEP [107040], EPOCH [65/100], ITER [416/1666] 
LOSS: 0.00111581, TIME: 38371.1s
STEP [107060], EPOCH [65/100], ITER [436/1666] 
LOSS: 0.00059396, TIME: 38378.4s
STEP [107080], EPOCH [65/100], ITER [456/1666] 
LOSS: 0.00072872, TIME: 38385.7s
STEP [107100], EPOCH [65/100], ITER [476/1666] 
LOSS: 0.00069565, TIME: 38393.1s
STEP [107120], EPOCH [65/100], ITER [496/1666] 
LOSS: 0.00073334, TIME: 38400.4s
STEP [107140], EPOCH [65/100], ITER [516/1666] 
LOSS: 0.00093193, TIME: 38407.7s
STEP [107160], EPOCH [65/100], ITER [536/1666] 
LOSS: 0.00072145, TIME: 38415.1s
STEP [107180], EPOCH [65/100], ITER [556/1666] 
LOSS: 0.00063459, TIME: 38422.4s
STEP [107200], EPOCH [65/100], ITER [576/1666] 
LOSS: 0.00078172, TIME: 38429.7s
STEP [107220], EPOCH [65/100], ITER [596/1666] 
LOSS: 0.00060618, TIME: 38437.0s
STEP [107240], EPOCH [65/100], ITER [616/1666] 
LOSS: 0.00103594, TIME: 38444.3s
STEP [107260], EPOCH [65/100], ITER [636/1666] 
LOSS: 0.00059558, TIME: 38451.6s
STEP [107280], EPOCH [65/100], ITER [656/1666] 
LOSS: 0.00100347, TIME: 38458.9s
STEP [107300], EPOCH [65/100], ITER [676/1666] 
LOSS: 0.00066023, TIME: 38466.2s
STEP [107320], EPOCH [65/100], ITER [696/1666] 
LOSS: 0.00095242, TIME: 38473.5s
STEP [107340], EPOCH [65/100], ITER [716/1666] 
LOSS: 0.00077312, TIME: 38480.8s
STEP [107360], EPOCH [65/100], ITER [736/1666] 
LOSS: 0.00073780, TIME: 38488.2s
STEP [107380], EPOCH [65/100], ITER [756/1666] 
LOSS: 0.00146395, TIME: 38495.5s
STEP [107400], EPOCH [65/100], ITER [776/1666] 
LOSS: 0.00065443, TIME: 38502.8s
STEP [107420], EPOCH [65/100], ITER [796/1666] 
LOSS: 0.00046294, TIME: 38510.1s
STEP [107440], EPOCH [65/100], ITER [816/1666] 
LOSS: 0.00043964, TIME: 38517.4s
STEP [107460], EPOCH [65/100], ITER [836/1666] 
LOSS: 0.00070791, TIME: 38524.8s
STEP [107480], EPOCH [65/100], ITER [856/1666] 
LOSS: 0.00071958, TIME: 38532.1s
STEP [107500], EPOCH [65/100], ITER [876/1666] 
LOSS: 0.00132405, TIME: 38539.3s
STEP [107520], EPOCH [65/100], ITER [896/1666] 
LOSS: 0.00075846, TIME: 38546.6s
STEP [107540], EPOCH [65/100], ITER [916/1666] 
LOSS: 0.00089513, TIME: 38554.0s
STEP [107560], EPOCH [65/100], ITER [936/1666] 
LOSS: 0.00121658, TIME: 38561.3s
STEP [107580], EPOCH [65/100], ITER [956/1666] 
LOSS: 0.00060873, TIME: 38568.5s
STEP [107600], EPOCH [65/100], ITER [976/1666] 
LOSS: 0.00126476, TIME: 38575.9s
STEP [107620], EPOCH [65/100], ITER [996/1666] 
LOSS: 0.00078855, TIME: 38583.2s
STEP [107640], EPOCH [65/100], ITER [1016/1666] 
LOSS: 0.00081212, TIME: 38590.5s
STEP [107660], EPOCH [65/100], ITER [1036/1666] 
LOSS: 0.00060880, TIME: 38597.9s
STEP [107680], EPOCH [65/100], ITER [1056/1666] 
LOSS: 0.00162456, TIME: 38605.2s
STEP [107700], EPOCH [65/100], ITER [1076/1666] 
LOSS: 0.00057248, TIME: 38612.5s
STEP [107720], EPOCH [65/100], ITER [1096/1666] 
LOSS: 0.00080798, TIME: 38619.8s
STEP [107740], EPOCH [65/100], ITER [1116/1666] 
LOSS: 0.00080084, TIME: 38627.1s
STEP [107760], EPOCH [65/100], ITER [1136/1666] 
LOSS: 0.00153870, TIME: 38634.4s
STEP [107780], EPOCH [65/100], ITER [1156/1666] 
LOSS: 0.00104446, TIME: 38641.7s
STEP [107800], EPOCH [65/100], ITER [1176/1666] 
LOSS: 0.00085936, TIME: 38649.0s
STEP [107820], EPOCH [65/100], ITER [1196/1666] 
LOSS: 0.00079148, TIME: 38656.3s
STEP [107840], EPOCH [65/100], ITER [1216/1666] 
LOSS: 0.00074825, TIME: 38663.6s
STEP [107860], EPOCH [65/100], ITER [1236/1666] 
LOSS: 0.00085220, TIME: 38671.0s
STEP [107880], EPOCH [65/100], ITER [1256/1666] 
LOSS: 0.00091445, TIME: 38678.3s
STEP [107900], EPOCH [65/100], ITER [1276/1666] 
LOSS: 0.00074273, TIME: 38685.7s
STEP [107920], EPOCH [65/100], ITER [1296/1666] 
LOSS: 0.00094349, TIME: 38692.9s
STEP [107940], EPOCH [65/100], ITER [1316/1666] 
LOSS: 0.00047689, TIME: 38700.3s
STEP [107960], EPOCH [65/100], ITER [1336/1666] 
LOSS: 0.00147883, TIME: 38707.6s
STEP [107980], EPOCH [65/100], ITER [1356/1666] 
LOSS: 0.00100899, TIME: 38714.9s
STEP [108000], EPOCH [65/100], ITER [1376/1666] 
LOSS: 0.00043574, TIME: 38722.2s
STEP [108020], EPOCH [65/100], ITER [1396/1666] 
LOSS: 0.00129226, TIME: 38729.6s
STEP [108040], EPOCH [65/100], ITER [1416/1666] 
LOSS: 0.00055495, TIME: 38736.9s
STEP [108060], EPOCH [65/100], ITER [1436/1666] 
LOSS: 0.00154338, TIME: 38744.2s
STEP [108080], EPOCH [65/100], ITER [1456/1666] 
LOSS: 0.00134412, TIME: 38751.6s
STEP [108100], EPOCH [65/100], ITER [1476/1666] 
LOSS: 0.00082345, TIME: 38758.9s
STEP [108120], EPOCH [65/100], ITER [1496/1666] 
LOSS: 0.00080664, TIME: 38766.2s
STEP [108140], EPOCH [65/100], ITER [1516/1666] 
LOSS: 0.00134167, TIME: 38773.4s
STEP [108160], EPOCH [65/100], ITER [1536/1666] 
LOSS: 0.00093873, TIME: 38780.8s
STEP [108180], EPOCH [65/100], ITER [1556/1666] 
LOSS: 0.00057692, TIME: 38788.1s
STEP [108200], EPOCH [65/100], ITER [1576/1666] 
LOSS: 0.00061070, TIME: 38795.4s
STEP [108220], EPOCH [65/100], ITER [1596/1666] 
LOSS: 0.00094901, TIME: 38802.7s
STEP [108240], EPOCH [65/100], ITER [1616/1666] 
LOSS: 0.00118269, TIME: 38810.0s
STEP [108260], EPOCH [65/100], ITER [1636/1666] 
LOSS: 0.00047194, TIME: 38817.4s
STEP [108280], EPOCH [65/100], ITER [1656/1666] 
LOSS: 0.00082143, TIME: 38824.7s
STEP [108300], EPOCH [66/100], ITER [10/1666] 
LOSS: 0.00097731, TIME: 38841.4s
STEP [108320], EPOCH [66/100], ITER [30/1666] 
LOSS: 0.00089588, TIME: 38848.7s
STEP [108340], EPOCH [66/100], ITER [50/1666] 
LOSS: 0.00070105, TIME: 38856.0s
STEP [108360], EPOCH [66/100], ITER [70/1666] 
LOSS: 0.00132236, TIME: 38863.3s
STEP [108380], EPOCH [66/100], ITER [90/1666] 
LOSS: 0.00055832, TIME: 38870.6s
STEP [108400], EPOCH [66/100], ITER [110/1666] 
LOSS: 0.00087636, TIME: 38878.0s
STEP [108420], EPOCH [66/100], ITER [130/1666] 
LOSS: 0.00098775, TIME: 38885.3s
STEP [108440], EPOCH [66/100], ITER [150/1666] 
LOSS: 0.00077007, TIME: 38892.6s
STEP [108460], EPOCH [66/100], ITER [170/1666] 
LOSS: 0.00071769, TIME: 38899.9s
STEP [108480], EPOCH [66/100], ITER [190/1666] 
LOSS: 0.00068414, TIME: 38907.2s
STEP [108500], EPOCH [66/100], ITER [210/1666] 
LOSS: 0.00064916, TIME: 38914.5s
STEP [108520], EPOCH [66/100], ITER [230/1666] 
LOSS: 0.00057831, TIME: 38921.8s
STEP [108540], EPOCH [66/100], ITER [250/1666] 
LOSS: 0.00036657, TIME: 38929.1s
STEP [108560], EPOCH [66/100], ITER [270/1666] 
LOSS: 0.00083977, TIME: 38936.4s
STEP [108580], EPOCH [66/100], ITER [290/1666] 
LOSS: 0.00050076, TIME: 38943.7s
STEP [108600], EPOCH [66/100], ITER [310/1666] 
LOSS: 0.00081358, TIME: 38951.1s
STEP [108620], EPOCH [66/100], ITER [330/1666] 
LOSS: 0.00099196, TIME: 38958.4s
STEP [108640], EPOCH [66/100], ITER [350/1666] 
LOSS: 0.00072581, TIME: 38965.7s
STEP [108660], EPOCH [66/100], ITER [370/1666] 
LOSS: 0.00062496, TIME: 38973.0s
STEP [108680], EPOCH [66/100], ITER [390/1666] 
LOSS: 0.00048784, TIME: 38980.3s
STEP [108700], EPOCH [66/100], ITER [410/1666] 
LOSS: 0.00050846, TIME: 38987.6s
STEP [108720], EPOCH [66/100], ITER [430/1666] 
LOSS: 0.00125578, TIME: 38994.9s
STEP [108740], EPOCH [66/100], ITER [450/1666] 
LOSS: 0.00079648, TIME: 39002.2s
STEP [108760], EPOCH [66/100], ITER [470/1666] 
LOSS: 0.00108056, TIME: 39009.5s
STEP [108780], EPOCH [66/100], ITER [490/1666] 
LOSS: 0.00061310, TIME: 39016.8s
STEP [108800], EPOCH [66/100], ITER [510/1666] 
LOSS: 0.00057826, TIME: 39024.1s
STEP [108820], EPOCH [66/100], ITER [530/1666] 
LOSS: 0.00114301, TIME: 39031.4s
STEP [108840], EPOCH [66/100], ITER [550/1666] 
LOSS: 0.00061627, TIME: 39038.8s
STEP [108860], EPOCH [66/100], ITER [570/1666] 
LOSS: 0.00055786, TIME: 39046.1s
STEP [108880], EPOCH [66/100], ITER [590/1666] 
LOSS: 0.00088304, TIME: 39053.4s
STEP [108900], EPOCH [66/100], ITER [610/1666] 
LOSS: 0.00074633, TIME: 39060.7s
STEP [108920], EPOCH [66/100], ITER [630/1666] 
LOSS: 0.00081308, TIME: 39068.0s
STEP [108940], EPOCH [66/100], ITER [650/1666] 
LOSS: 0.00102243, TIME: 39075.3s
STEP [108960], EPOCH [66/100], ITER [670/1666] 
LOSS: 0.00094473, TIME: 39082.6s
STEP [108980], EPOCH [66/100], ITER [690/1666] 
LOSS: 0.00121960, TIME: 39089.9s
STEP [109000], EPOCH [66/100], ITER [710/1666] 
LOSS: 0.00182379, TIME: 39097.2s
STEP [109020], EPOCH [66/100], ITER [730/1666] 
LOSS: 0.00093550, TIME: 39104.6s
STEP [109040], EPOCH [66/100], ITER [750/1666] 
LOSS: 0.00078928, TIME: 39111.9s
STEP [109060], EPOCH [66/100], ITER [770/1666] 
LOSS: 0.00124932, TIME: 39119.2s
STEP [109080], EPOCH [66/100], ITER [790/1666] 
LOSS: 0.00075773, TIME: 39126.5s
STEP [109100], EPOCH [66/100], ITER [810/1666] 
LOSS: 0.00058752, TIME: 39133.8s
STEP [109120], EPOCH [66/100], ITER [830/1666] 
LOSS: 0.00090548, TIME: 39141.2s
STEP [109140], EPOCH [66/100], ITER [850/1666] 
LOSS: 0.00078423, TIME: 39148.5s
STEP [109160], EPOCH [66/100], ITER [870/1666] 
LOSS: 0.00077855, TIME: 39155.8s
STEP [109180], EPOCH [66/100], ITER [890/1666] 
LOSS: 0.00043666, TIME: 39163.1s
STEP [109200], EPOCH [66/100], ITER [910/1666] 
LOSS: 0.00059443, TIME: 39170.4s
STEP [109220], EPOCH [66/100], ITER [930/1666] 
LOSS: 0.00086285, TIME: 39177.7s
STEP [109240], EPOCH [66/100], ITER [950/1666] 
LOSS: 0.00072573, TIME: 39185.0s
STEP [109260], EPOCH [66/100], ITER [970/1666] 
LOSS: 0.00098631, TIME: 39192.4s
STEP [109280], EPOCH [66/100], ITER [990/1666] 
LOSS: 0.00114534, TIME: 39199.7s
STEP [109300], EPOCH [66/100], ITER [1010/1666] 
LOSS: 0.00064432, TIME: 39207.0s
STEP [109320], EPOCH [66/100], ITER [1030/1666] 
LOSS: 0.00109130, TIME: 39214.3s
STEP [109340], EPOCH [66/100], ITER [1050/1666] 
LOSS: 0.00056072, TIME: 39221.6s
STEP [109360], EPOCH [66/100], ITER [1070/1666] 
LOSS: 0.00074019, TIME: 39229.0s
STEP [109380], EPOCH [66/100], ITER [1090/1666] 
LOSS: 0.00116075, TIME: 39236.2s
STEP [109400], EPOCH [66/100], ITER [1110/1666] 
LOSS: 0.00084648, TIME: 39243.5s
STEP [109420], EPOCH [66/100], ITER [1130/1666] 
LOSS: 0.00105058, TIME: 39250.9s
STEP [109440], EPOCH [66/100], ITER [1150/1666] 
LOSS: 0.00046561, TIME: 39258.2s
STEP [109460], EPOCH [66/100], ITER [1170/1666] 
LOSS: 0.00075291, TIME: 39265.5s
STEP [109480], EPOCH [66/100], ITER [1190/1666] 
LOSS: 0.00040180, TIME: 39272.8s
STEP [109500], EPOCH [66/100], ITER [1210/1666] 
LOSS: 0.00095210, TIME: 39280.2s
STEP [109520], EPOCH [66/100], ITER [1230/1666] 
LOSS: 0.00088089, TIME: 39287.5s
STEP [109540], EPOCH [66/100], ITER [1250/1666] 
LOSS: 0.00052310, TIME: 39294.8s
STEP [109560], EPOCH [66/100], ITER [1270/1666] 
LOSS: 0.00086265, TIME: 39302.3s
STEP [109580], EPOCH [66/100], ITER [1290/1666] 
LOSS: 0.00106947, TIME: 39309.6s
STEP [109600], EPOCH [66/100], ITER [1310/1666] 
LOSS: 0.00070963, TIME: 39316.8s
STEP [109620], EPOCH [66/100], ITER [1330/1666] 
LOSS: 0.00074787, TIME: 39324.2s
STEP [109640], EPOCH [66/100], ITER [1350/1666] 
LOSS: 0.00067293, TIME: 39331.5s
STEP [109660], EPOCH [66/100], ITER [1370/1666] 
LOSS: 0.00066141, TIME: 39338.8s
STEP [109680], EPOCH [66/100], ITER [1390/1666] 
LOSS: 0.00070413, TIME: 39346.2s
STEP [109700], EPOCH [66/100], ITER [1410/1666] 
LOSS: 0.00070649, TIME: 39353.5s
STEP [109720], EPOCH [66/100], ITER [1430/1666] 
LOSS: 0.00093385, TIME: 39360.8s
STEP [109740], EPOCH [66/100], ITER [1450/1666] 
LOSS: 0.00139015, TIME: 39368.1s
STEP [109760], EPOCH [66/100], ITER [1470/1666] 
LOSS: 0.00073656, TIME: 39375.4s
STEP [109780], EPOCH [66/100], ITER [1490/1666] 
LOSS: 0.00037567, TIME: 39382.7s
STEP [109800], EPOCH [66/100], ITER [1510/1666] 
LOSS: 0.00071981, TIME: 39390.0s
STEP [109820], EPOCH [66/100], ITER [1530/1666] 
LOSS: 0.00059940, TIME: 39397.3s
STEP [109840], EPOCH [66/100], ITER [1550/1666] 
LOSS: 0.00074799, TIME: 39404.6s
STEP [109860], EPOCH [66/100], ITER [1570/1666] 
LOSS: 0.00083970, TIME: 39411.9s
STEP [109880], EPOCH [66/100], ITER [1590/1666] 
LOSS: 0.00058806, TIME: 39419.2s
STEP [109900], EPOCH [66/100], ITER [1610/1666] 
LOSS: 0.00109970, TIME: 39426.5s
STEP [109920], EPOCH [66/100], ITER [1630/1666] 
LOSS: 0.00058622, TIME: 39433.8s
STEP [109940], EPOCH [66/100], ITER [1650/1666] 
LOSS: 0.00071590, TIME: 39441.1s
STEP [109960], EPOCH [67/100], ITER [4/1666] 
LOSS: 0.00050236, TIME: 39457.6s
STEP [109980], EPOCH [67/100], ITER [24/1666] 
LOSS: 0.00049422, TIME: 39464.9s
STEP [110000], EPOCH [67/100], ITER [44/1666] 
LOSS: 0.00049723, TIME: 39472.3s
STEP [110020], EPOCH [67/100], ITER [64/1666] 
LOSS: 0.00046859, TIME: 39479.6s
STEP [110040], EPOCH [67/100], ITER [84/1666] 
LOSS: 0.00087603, TIME: 39487.0s
STEP [110060], EPOCH [67/100], ITER [104/1666] 
LOSS: 0.00046794, TIME: 39494.3s
STEP [110080], EPOCH [67/100], ITER [124/1666] 
LOSS: 0.00078527, TIME: 39501.6s
STEP [110100], EPOCH [67/100], ITER [144/1666] 
LOSS: 0.00086906, TIME: 39508.9s
STEP [110120], EPOCH [67/100], ITER [164/1666] 
LOSS: 0.00072341, TIME: 39516.2s
STEP [110140], EPOCH [67/100], ITER [184/1666] 
LOSS: 0.00112505, TIME: 39523.5s
STEP [110160], EPOCH [67/100], ITER [204/1666] 
LOSS: 0.00089915, TIME: 39530.8s
STEP [110180], EPOCH [67/100], ITER [224/1666] 
LOSS: 0.00072444, TIME: 39538.1s
STEP [110200], EPOCH [67/100], ITER [244/1666] 
LOSS: 0.00070078, TIME: 39545.4s
STEP [110220], EPOCH [67/100], ITER [264/1666] 
LOSS: 0.00080188, TIME: 39552.8s
STEP [110240], EPOCH [67/100], ITER [284/1666] 
LOSS: 0.00078749, TIME: 39560.1s
STEP [110260], EPOCH [67/100], ITER [304/1666] 
LOSS: 0.00104438, TIME: 39567.4s
STEP [110280], EPOCH [67/100], ITER [324/1666] 
LOSS: 0.00052526, TIME: 39574.7s
STEP [110300], EPOCH [67/100], ITER [344/1666] 
LOSS: 0.00062855, TIME: 39582.0s
STEP [110320], EPOCH [67/100], ITER [364/1666] 
LOSS: 0.00072621, TIME: 39589.4s
STEP [110340], EPOCH [67/100], ITER [384/1666] 
LOSS: 0.00095214, TIME: 39596.7s
STEP [110360], EPOCH [67/100], ITER [404/1666] 
LOSS: 0.00086769, TIME: 39604.0s
STEP [110380], EPOCH [67/100], ITER [424/1666] 
LOSS: 0.00067458, TIME: 39611.3s
STEP [110400], EPOCH [67/100], ITER [444/1666] 
LOSS: 0.00094042, TIME: 39618.6s
STEP [110420], EPOCH [67/100], ITER [464/1666] 
LOSS: 0.00079326, TIME: 39625.9s
STEP [110440], EPOCH [67/100], ITER [484/1666] 
LOSS: 0.00074447, TIME: 39633.3s
STEP [110460], EPOCH [67/100], ITER [504/1666] 
LOSS: 0.00154754, TIME: 39640.6s
STEP [110480], EPOCH [67/100], ITER [524/1666] 
LOSS: 0.00101669, TIME: 39648.0s
STEP [110500], EPOCH [67/100], ITER [544/1666] 
LOSS: 0.00056555, TIME: 39655.3s
STEP [110520], EPOCH [67/100], ITER [564/1666] 
LOSS: 0.00074793, TIME: 39662.6s
STEP [110540], EPOCH [67/100], ITER [584/1666] 
LOSS: 0.00069341, TIME: 39669.9s
STEP [110560], EPOCH [67/100], ITER [604/1666] 
LOSS: 0.00138723, TIME: 39677.3s
STEP [110580], EPOCH [67/100], ITER [624/1666] 
LOSS: 0.00120134, TIME: 39684.6s
STEP [110600], EPOCH [67/100], ITER [644/1666] 
LOSS: 0.00058429, TIME: 39692.0s
STEP [110620], EPOCH [67/100], ITER [664/1666] 
LOSS: 0.00061829, TIME: 39699.3s
STEP [110640], EPOCH [67/100], ITER [684/1666] 
LOSS: 0.00066503, TIME: 39706.6s
STEP [110660], EPOCH [67/100], ITER [704/1666] 
LOSS: 0.00066481, TIME: 39713.9s
STEP [110680], EPOCH [67/100], ITER [724/1666] 
LOSS: 0.00071394, TIME: 39721.2s
STEP [110700], EPOCH [67/100], ITER [744/1666] 
LOSS: 0.00113387, TIME: 39728.5s
STEP [110720], EPOCH [67/100], ITER [764/1666] 
LOSS: 0.00062410, TIME: 39735.9s
STEP [110740], EPOCH [67/100], ITER [784/1666] 
LOSS: 0.00054002, TIME: 39743.2s
STEP [110760], EPOCH [67/100], ITER [804/1666] 
LOSS: 0.00131004, TIME: 39750.5s
STEP [110780], EPOCH [67/100], ITER [824/1666] 
LOSS: 0.00087373, TIME: 39757.8s
STEP [110800], EPOCH [67/100], ITER [844/1666] 
LOSS: 0.00068080, TIME: 39765.1s
STEP [110820], EPOCH [67/100], ITER [864/1666] 
LOSS: 0.00103908, TIME: 39772.1s
STEP [110840], EPOCH [67/100], ITER [884/1666] 
LOSS: 0.00104921, TIME: 39775.9s
STEP [110860], EPOCH [67/100], ITER [904/1666] 
LOSS: 0.00062891, TIME: 39782.5s
STEP [110880], EPOCH [67/100], ITER [924/1666] 
LOSS: 0.00081285, TIME: 39789.8s
STEP [110900], EPOCH [67/100], ITER [944/1666] 
LOSS: 0.00082759, TIME: 39797.1s
STEP [110920], EPOCH [67/100], ITER [964/1666] 
LOSS: 0.00055949, TIME: 39804.5s
STEP [110940], EPOCH [67/100], ITER [984/1666] 
LOSS: 0.00098091, TIME: 39811.8s
STEP [110960], EPOCH [67/100], ITER [1004/1666] 
LOSS: 0.00073074, TIME: 39819.1s
STEP [110980], EPOCH [67/100], ITER [1024/1666] 
LOSS: 0.00040580, TIME: 39826.5s
STEP [111000], EPOCH [67/100], ITER [1044/1666] 
LOSS: 0.00067191, TIME: 39833.8s
STEP [111020], EPOCH [67/100], ITER [1064/1666] 
LOSS: 0.00065347, TIME: 39841.2s
STEP [111040], EPOCH [67/100], ITER [1084/1666] 
LOSS: 0.00059086, TIME: 39848.5s
STEP [111060], EPOCH [67/100], ITER [1104/1666] 
LOSS: 0.00075409, TIME: 39855.8s
STEP [111080], EPOCH [67/100], ITER [1124/1666] 
LOSS: 0.00073427, TIME: 39863.2s
STEP [111100], EPOCH [67/100], ITER [1144/1666] 
LOSS: 0.00084337, TIME: 39870.5s
STEP [111120], EPOCH [67/100], ITER [1164/1666] 
LOSS: 0.00074750, TIME: 39877.9s
STEP [111140], EPOCH [67/100], ITER [1184/1666] 
LOSS: 0.00060490, TIME: 39885.2s
STEP [111160], EPOCH [67/100], ITER [1204/1666] 
LOSS: 0.00114306, TIME: 39892.5s
STEP [111180], EPOCH [67/100], ITER [1224/1666] 
LOSS: 0.00084971, TIME: 39899.8s
STEP [111200], EPOCH [67/100], ITER [1244/1666] 
LOSS: 0.00086591, TIME: 39907.1s
STEP [111220], EPOCH [67/100], ITER [1264/1666] 
LOSS: 0.00085123, TIME: 39914.5s
STEP [111240], EPOCH [67/100], ITER [1284/1666] 
LOSS: 0.00069478, TIME: 39921.8s
STEP [111260], EPOCH [67/100], ITER [1304/1666] 
LOSS: 0.00077636, TIME: 39929.2s
STEP [111280], EPOCH [67/100], ITER [1324/1666] 
LOSS: 0.00102392, TIME: 39936.5s
STEP [111300], EPOCH [67/100], ITER [1344/1666] 
LOSS: 0.00067591, TIME: 39943.9s
STEP [111320], EPOCH [67/100], ITER [1364/1666] 
LOSS: 0.00110950, TIME: 39951.3s
STEP [111340], EPOCH [67/100], ITER [1384/1666] 
LOSS: 0.00066064, TIME: 39958.6s
STEP [111360], EPOCH [67/100], ITER [1404/1666] 
LOSS: 0.00060788, TIME: 39965.9s
STEP [111380], EPOCH [67/100], ITER [1424/1666] 
LOSS: 0.00060568, TIME: 39973.3s
STEP [111400], EPOCH [67/100], ITER [1444/1666] 
LOSS: 0.00083055, TIME: 39980.7s
STEP [111420], EPOCH [67/100], ITER [1464/1666] 
LOSS: 0.00060417, TIME: 39988.0s
STEP [111440], EPOCH [67/100], ITER [1484/1666] 
LOSS: 0.00089570, TIME: 39995.3s
STEP [111460], EPOCH [67/100], ITER [1504/1666] 
LOSS: 0.00067862, TIME: 40002.7s
STEP [111480], EPOCH [67/100], ITER [1524/1666] 
LOSS: 0.00090369, TIME: 40010.0s
STEP [111500], EPOCH [67/100], ITER [1544/1666] 
LOSS: 0.00083360, TIME: 40017.3s
STEP [111520], EPOCH [67/100], ITER [1564/1666] 
LOSS: 0.00121154, TIME: 40024.7s
STEP [111540], EPOCH [67/100], ITER [1584/1666] 
LOSS: 0.00082822, TIME: 40032.0s
STEP [111560], EPOCH [67/100], ITER [1604/1666] 
LOSS: 0.00096579, TIME: 40039.3s
STEP [111580], EPOCH [67/100], ITER [1624/1666] 
LOSS: 0.00111981, TIME: 40046.6s
STEP [111600], EPOCH [67/100], ITER [1644/1666] 
LOSS: 0.00057578, TIME: 40053.9s
STEP [111620], EPOCH [67/100], ITER [1664/1666] 
LOSS: 0.00106715, TIME: 40061.3s
STEP [111640], EPOCH [68/100], ITER [18/1666] 
LOSS: 0.00086340, TIME: 40078.0s
STEP [111660], EPOCH [68/100], ITER [38/1666] 
LOSS: 0.00065140, TIME: 40085.2s
STEP [111680], EPOCH [68/100], ITER [58/1666] 
LOSS: 0.00073892, TIME: 40092.5s
STEP [111700], EPOCH [68/100], ITER [78/1666] 
LOSS: 0.00065448, TIME: 40099.8s
STEP [111720], EPOCH [68/100], ITER [98/1666] 
LOSS: 0.00081006, TIME: 40107.1s
STEP [111740], EPOCH [68/100], ITER [118/1666] 
LOSS: 0.00083180, TIME: 40114.4s
STEP [111760], EPOCH [68/100], ITER [138/1666] 
LOSS: 0.00080762, TIME: 40121.7s
STEP [111780], EPOCH [68/100], ITER [158/1666] 
LOSS: 0.00053275, TIME: 40129.0s
STEP [111800], EPOCH [68/100], ITER [178/1666] 
LOSS: 0.00090204, TIME: 40136.3s
STEP [111820], EPOCH [68/100], ITER [198/1666] 
LOSS: 0.00113383, TIME: 40143.6s
STEP [111840], EPOCH [68/100], ITER [218/1666] 
LOSS: 0.00060284, TIME: 40150.9s
STEP [111860], EPOCH [68/100], ITER [238/1666] 
LOSS: 0.00101323, TIME: 40158.2s
STEP [111880], EPOCH [68/100], ITER [258/1666] 
LOSS: 0.00080567, TIME: 40165.5s
STEP [111900], EPOCH [68/100], ITER [278/1666] 
LOSS: 0.00168770, TIME: 40172.8s
STEP [111920], EPOCH [68/100], ITER [298/1666] 
LOSS: 0.00073208, TIME: 40180.1s
STEP [111940], EPOCH [68/100], ITER [318/1666] 
LOSS: 0.00040848, TIME: 40187.5s
STEP [111960], EPOCH [68/100], ITER [338/1666] 
LOSS: 0.00081436, TIME: 40194.8s
STEP [111980], EPOCH [68/100], ITER [358/1666] 
LOSS: 0.00091195, TIME: 40202.1s
STEP [112000], EPOCH [68/100], ITER [378/1666] 
LOSS: 0.00066898, TIME: 40209.5s
STEP [112020], EPOCH [68/100], ITER [398/1666] 
LOSS: 0.00087567, TIME: 40216.8s
STEP [112040], EPOCH [68/100], ITER [418/1666] 
LOSS: 0.00027974, TIME: 40224.1s
STEP [112060], EPOCH [68/100], ITER [438/1666] 
LOSS: 0.00087637, TIME: 40231.4s
STEP [112080], EPOCH [68/100], ITER [458/1666] 
LOSS: 0.00070118, TIME: 40238.7s
STEP [112100], EPOCH [68/100], ITER [478/1666] 
LOSS: 0.00129046, TIME: 40246.0s
STEP [112120], EPOCH [68/100], ITER [498/1666] 
LOSS: 0.00071991, TIME: 40253.3s
STEP [112140], EPOCH [68/100], ITER [518/1666] 
LOSS: 0.00101938, TIME: 40260.6s
STEP [112160], EPOCH [68/100], ITER [538/1666] 
LOSS: 0.00126276, TIME: 40267.9s
STEP [112180], EPOCH [68/100], ITER [558/1666] 
LOSS: 0.00087715, TIME: 40275.2s
STEP [112200], EPOCH [68/100], ITER [578/1666] 
LOSS: 0.00058938, TIME: 40282.6s
STEP [112220], EPOCH [68/100], ITER [598/1666] 
LOSS: 0.00080240, TIME: 40289.9s
STEP [112240], EPOCH [68/100], ITER [618/1666] 
LOSS: 0.00117392, TIME: 40297.2s
STEP [112260], EPOCH [68/100], ITER [638/1666] 
LOSS: 0.00124968, TIME: 40304.5s
STEP [112280], EPOCH [68/100], ITER [658/1666] 
LOSS: 0.00077398, TIME: 40311.8s
STEP [112300], EPOCH [68/100], ITER [678/1666] 
LOSS: 0.00099973, TIME: 40319.1s
STEP [112320], EPOCH [68/100], ITER [698/1666] 
LOSS: 0.00061229, TIME: 40326.4s
STEP [112340], EPOCH [68/100], ITER [718/1666] 
LOSS: 0.00115270, TIME: 40333.7s
STEP [112360], EPOCH [68/100], ITER [738/1666] 
LOSS: 0.00048487, TIME: 40341.1s
STEP [112380], EPOCH [68/100], ITER [758/1666] 
LOSS: 0.00075350, TIME: 40348.4s
STEP [112400], EPOCH [68/100], ITER [778/1666] 
LOSS: 0.00072676, TIME: 40355.7s
STEP [112420], EPOCH [68/100], ITER [798/1666] 
LOSS: 0.00065436, TIME: 40363.1s
STEP [112440], EPOCH [68/100], ITER [818/1666] 
LOSS: 0.00077697, TIME: 40370.4s
STEP [112460], EPOCH [68/100], ITER [838/1666] 
LOSS: 0.00064937, TIME: 40377.7s
STEP [112480], EPOCH [68/100], ITER [858/1666] 
LOSS: 0.00066602, TIME: 40385.0s
STEP [112500], EPOCH [68/100], ITER [878/1666] 
LOSS: 0.00088699, TIME: 40392.3s
STEP [112520], EPOCH [68/100], ITER [898/1666] 
LOSS: 0.00075857, TIME: 40399.6s
STEP [112540], EPOCH [68/100], ITER [918/1666] 
LOSS: 0.00075907, TIME: 40406.9s
STEP [112560], EPOCH [68/100], ITER [938/1666] 
LOSS: 0.00071684, TIME: 40414.3s
STEP [112580], EPOCH [68/100], ITER [958/1666] 
LOSS: 0.00063396, TIME: 40421.6s
STEP [112600], EPOCH [68/100], ITER [978/1666] 
LOSS: 0.00111702, TIME: 40428.9s
STEP [112620], EPOCH [68/100], ITER [998/1666] 
LOSS: 0.00070951, TIME: 40436.2s
STEP [112640], EPOCH [68/100], ITER [1018/1666] 
LOSS: 0.00100674, TIME: 40443.5s
STEP [112660], EPOCH [68/100], ITER [1038/1666] 
LOSS: 0.00079027, TIME: 40450.8s
STEP [112680], EPOCH [68/100], ITER [1058/1666] 
LOSS: 0.00082115, TIME: 40458.2s
STEP [112700], EPOCH [68/100], ITER [1078/1666] 
LOSS: 0.00118143, TIME: 40465.5s
STEP [112720], EPOCH [68/100], ITER [1098/1666] 
LOSS: 0.00116364, TIME: 40472.8s
STEP [112740], EPOCH [68/100], ITER [1118/1666] 
LOSS: 0.00077445, TIME: 40480.1s
STEP [112760], EPOCH [68/100], ITER [1138/1666] 
LOSS: 0.00070036, TIME: 40487.4s
STEP [112780], EPOCH [68/100], ITER [1158/1666] 
LOSS: 0.00101085, TIME: 40494.7s
STEP [112800], EPOCH [68/100], ITER [1178/1666] 
LOSS: 0.00047137, TIME: 40502.0s
STEP [112820], EPOCH [68/100], ITER [1198/1666] 
LOSS: 0.00100454, TIME: 40509.4s
STEP [112840], EPOCH [68/100], ITER [1218/1666] 
LOSS: 0.00131747, TIME: 40516.7s
STEP [112860], EPOCH [68/100], ITER [1238/1666] 
LOSS: 0.00114110, TIME: 40524.0s
STEP [112880], EPOCH [68/100], ITER [1258/1666] 
LOSS: 0.00076401, TIME: 40531.3s
STEP [112900], EPOCH [68/100], ITER [1278/1666] 
LOSS: 0.00059653, TIME: 40538.7s
STEP [112920], EPOCH [68/100], ITER [1298/1666] 
LOSS: 0.00077152, TIME: 40546.0s
STEP [112940], EPOCH [68/100], ITER [1318/1666] 
LOSS: 0.00067510, TIME: 40553.3s
STEP [112960], EPOCH [68/100], ITER [1338/1666] 
LOSS: 0.00151464, TIME: 40560.6s
STEP [112980], EPOCH [68/100], ITER [1358/1666] 
LOSS: 0.00050023, TIME: 40567.9s
STEP [113000], EPOCH [68/100], ITER [1378/1666] 
LOSS: 0.00061856, TIME: 40575.3s
STEP [113020], EPOCH [68/100], ITER [1398/1666] 
LOSS: 0.00076305, TIME: 40582.7s
STEP [113040], EPOCH [68/100], ITER [1418/1666] 
LOSS: 0.00073906, TIME: 40590.0s
STEP [113060], EPOCH [68/100], ITER [1438/1666] 
LOSS: 0.00074099, TIME: 40597.3s
STEP [113080], EPOCH [68/100], ITER [1458/1666] 
LOSS: 0.00082796, TIME: 40604.6s
STEP [113100], EPOCH [68/100], ITER [1478/1666] 
LOSS: 0.00075463, TIME: 40611.9s
STEP [113120], EPOCH [68/100], ITER [1498/1666] 
LOSS: 0.00065931, TIME: 40619.3s
STEP [113140], EPOCH [68/100], ITER [1518/1666] 
LOSS: 0.00070184, TIME: 40626.6s
STEP [113160], EPOCH [68/100], ITER [1538/1666] 
LOSS: 0.00084712, TIME: 40633.8s
STEP [113180], EPOCH [68/100], ITER [1558/1666] 
LOSS: 0.00063168, TIME: 40641.2s
STEP [113200], EPOCH [68/100], ITER [1578/1666] 
LOSS: 0.00089183, TIME: 40648.5s
STEP [113220], EPOCH [68/100], ITER [1598/1666] 
LOSS: 0.00113777, TIME: 40655.9s
STEP [113240], EPOCH [68/100], ITER [1618/1666] 
LOSS: 0.00091453, TIME: 40663.2s
STEP [113260], EPOCH [68/100], ITER [1638/1666] 
LOSS: 0.00087625, TIME: 40670.5s
STEP [113280], EPOCH [68/100], ITER [1658/1666] 
LOSS: 0.00100126, TIME: 40677.8s
STEP [113300], EPOCH [69/100], ITER [12/1666] 
LOSS: 0.00054062, TIME: 40694.2s
STEP [113320], EPOCH [69/100], ITER [32/1666] 
LOSS: 0.00041365, TIME: 40701.4s
STEP [113340], EPOCH [69/100], ITER [52/1666] 
LOSS: 0.00078747, TIME: 40708.8s
STEP [113360], EPOCH [69/100], ITER [72/1666] 
LOSS: 0.00075668, TIME: 40716.1s
STEP [113380], EPOCH [69/100], ITER [92/1666] 
LOSS: 0.00072169, TIME: 40723.4s
STEP [113400], EPOCH [69/100], ITER [112/1666] 
LOSS: 0.00053859, TIME: 40730.7s
STEP [113420], EPOCH [69/100], ITER [132/1666] 
LOSS: 0.00056261, TIME: 40738.0s
STEP [113440], EPOCH [69/100], ITER [152/1666] 
LOSS: 0.00094759, TIME: 40745.3s
STEP [113460], EPOCH [69/100], ITER [172/1666] 
LOSS: 0.00065145, TIME: 40752.6s
STEP [113480], EPOCH [69/100], ITER [192/1666] 
LOSS: 0.00068846, TIME: 40760.0s
STEP [113500], EPOCH [69/100], ITER [212/1666] 
LOSS: 0.00062671, TIME: 40767.3s
STEP [113520], EPOCH [69/100], ITER [232/1666] 
LOSS: 0.00084466, TIME: 40774.6s
STEP [113540], EPOCH [69/100], ITER [252/1666] 
LOSS: 0.00056345, TIME: 40781.9s
STEP [113560], EPOCH [69/100], ITER [272/1666] 
LOSS: 0.00076478, TIME: 40789.1s
STEP [113580], EPOCH [69/100], ITER [292/1666] 
LOSS: 0.00086276, TIME: 40796.5s
STEP [113600], EPOCH [69/100], ITER [312/1666] 
LOSS: 0.00053760, TIME: 40803.8s
STEP [113620], EPOCH [69/100], ITER [332/1666] 
LOSS: 0.00078036, TIME: 40811.1s
STEP [113640], EPOCH [69/100], ITER [352/1666] 
LOSS: 0.00092430, TIME: 40818.4s
STEP [113660], EPOCH [69/100], ITER [372/1666] 
LOSS: 0.00062448, TIME: 40825.7s
STEP [113680], EPOCH [69/100], ITER [392/1666] 
LOSS: 0.00078608, TIME: 40833.1s
STEP [113700], EPOCH [69/100], ITER [412/1666] 
LOSS: 0.00073090, TIME: 40840.4s
STEP [113720], EPOCH [69/100], ITER [432/1666] 
LOSS: 0.00084346, TIME: 40847.7s
STEP [113740], EPOCH [69/100], ITER [452/1666] 
LOSS: 0.00078861, TIME: 40855.0s
STEP [113760], EPOCH [69/100], ITER [472/1666] 
LOSS: 0.00037874, TIME: 40862.3s
STEP [113780], EPOCH [69/100], ITER [492/1666] 
LOSS: 0.00092465, TIME: 40869.6s
STEP [113800], EPOCH [69/100], ITER [512/1666] 
LOSS: 0.00087405, TIME: 40876.9s
STEP [113820], EPOCH [69/100], ITER [532/1666] 
LOSS: 0.00058109, TIME: 40884.2s
STEP [113840], EPOCH [69/100], ITER [552/1666] 
LOSS: 0.00048689, TIME: 40891.6s
STEP [113860], EPOCH [69/100], ITER [572/1666] 
LOSS: 0.00067495, TIME: 40898.9s
STEP [113880], EPOCH [69/100], ITER [592/1666] 
LOSS: 0.00095110, TIME: 40906.2s
STEP [113900], EPOCH [69/100], ITER [612/1666] 
LOSS: 0.00064584, TIME: 40913.5s
STEP [113920], EPOCH [69/100], ITER [632/1666] 
LOSS: 0.00067656, TIME: 40920.8s
STEP [113940], EPOCH [69/100], ITER [652/1666] 
LOSS: 0.00082479, TIME: 40928.1s
STEP [113960], EPOCH [69/100], ITER [672/1666] 
LOSS: 0.00097061, TIME: 40935.5s
STEP [113980], EPOCH [69/100], ITER [692/1666] 
LOSS: 0.00091394, TIME: 40942.7s
STEP [114000], EPOCH [69/100], ITER [712/1666] 
LOSS: 0.00098312, TIME: 40950.0s
STEP [114020], EPOCH [69/100], ITER [732/1666] 
LOSS: 0.00066631, TIME: 40957.4s
STEP [114040], EPOCH [69/100], ITER [752/1666] 
LOSS: 0.00085878, TIME: 40964.7s
STEP [114060], EPOCH [69/100], ITER [772/1666] 
LOSS: 0.00044482, TIME: 40972.1s
STEP [114080], EPOCH [69/100], ITER [792/1666] 
LOSS: 0.00072527, TIME: 40979.4s
STEP [114100], EPOCH [69/100], ITER [812/1666] 
LOSS: 0.00064984, TIME: 40986.7s
STEP [114120], EPOCH [69/100], ITER [832/1666] 
LOSS: 0.00074330, TIME: 40994.0s
STEP [114140], EPOCH [69/100], ITER [852/1666] 
LOSS: 0.00062593, TIME: 41001.3s
STEP [114160], EPOCH [69/100], ITER [872/1666] 
LOSS: 0.00071631, TIME: 41008.6s
STEP [114180], EPOCH [69/100], ITER [892/1666] 
LOSS: 0.00084409, TIME: 41015.9s
STEP [114200], EPOCH [69/100], ITER [912/1666] 
LOSS: 0.00084565, TIME: 41023.2s
STEP [114220], EPOCH [69/100], ITER [932/1666] 
LOSS: 0.00054793, TIME: 41030.5s
STEP [114240], EPOCH [69/100], ITER [952/1666] 
LOSS: 0.00163324, TIME: 41037.8s
STEP [114260], EPOCH [69/100], ITER [972/1666] 
LOSS: 0.00068909, TIME: 41045.2s
STEP [114280], EPOCH [69/100], ITER [992/1666] 
LOSS: 0.00103710, TIME: 41052.5s
STEP [114300], EPOCH [69/100], ITER [1012/1666] 
LOSS: 0.00096609, TIME: 41059.8s
STEP [114320], EPOCH [69/100], ITER [1032/1666] 
LOSS: 0.00058283, TIME: 41067.1s
STEP [114340], EPOCH [69/100], ITER [1052/1666] 
LOSS: 0.00247960, TIME: 41074.4s
STEP [114360], EPOCH [69/100], ITER [1072/1666] 
LOSS: 0.00077646, TIME: 41081.7s
STEP [114380], EPOCH [69/100], ITER [1092/1666] 
LOSS: 0.00080407, TIME: 41089.1s
STEP [114400], EPOCH [69/100], ITER [1112/1666] 
LOSS: 0.00103209, TIME: 41096.4s
STEP [114420], EPOCH [69/100], ITER [1132/1666] 
LOSS: 0.00063230, TIME: 41103.7s
STEP [114440], EPOCH [69/100], ITER [1152/1666] 
LOSS: 0.00104910, TIME: 41111.0s
STEP [114460], EPOCH [69/100], ITER [1172/1666] 
LOSS: 0.00121352, TIME: 41118.4s
STEP [114480], EPOCH [69/100], ITER [1192/1666] 
LOSS: 0.00084329, TIME: 41125.7s
STEP [114500], EPOCH [69/100], ITER [1212/1666] 
LOSS: 0.00225729, TIME: 41133.0s
STEP [114520], EPOCH [69/100], ITER [1232/1666] 
LOSS: 0.00081851, TIME: 41140.3s
STEP [114540], EPOCH [69/100], ITER [1252/1666] 
LOSS: 0.00102374, TIME: 41147.6s
STEP [114560], EPOCH [69/100], ITER [1272/1666] 
LOSS: 0.00079186, TIME: 41155.0s
STEP [114580], EPOCH [69/100], ITER [1292/1666] 
LOSS: 0.00104261, TIME: 41162.3s
STEP [114600], EPOCH [69/100], ITER [1312/1666] 
LOSS: 0.00087798, TIME: 41169.6s
STEP [114620], EPOCH [69/100], ITER [1332/1666] 
LOSS: 0.00088140, TIME: 41176.8s
STEP [114640], EPOCH [69/100], ITER [1352/1666] 
LOSS: 0.00090551, TIME: 41184.2s
STEP [114660], EPOCH [69/100], ITER [1372/1666] 
LOSS: 0.00072877, TIME: 41191.5s
STEP [114680], EPOCH [69/100], ITER [1392/1666] 
LOSS: 0.00087559, TIME: 41198.8s
STEP [114700], EPOCH [69/100], ITER [1412/1666] 
LOSS: 0.00053992, TIME: 41206.1s
STEP [114720], EPOCH [69/100], ITER [1432/1666] 
LOSS: 0.00105723, TIME: 41213.4s
STEP [114740], EPOCH [69/100], ITER [1452/1666] 
LOSS: 0.00075736, TIME: 41220.7s
STEP [114760], EPOCH [69/100], ITER [1472/1666] 
LOSS: 0.00070422, TIME: 41228.0s
STEP [114780], EPOCH [69/100], ITER [1492/1666] 
LOSS: 0.00103026, TIME: 41235.3s
STEP [114800], EPOCH [69/100], ITER [1512/1666] 
LOSS: 0.00069691, TIME: 41242.6s
STEP [114820], EPOCH [69/100], ITER [1532/1666] 
LOSS: 0.00047542, TIME: 41250.0s
STEP [114840], EPOCH [69/100], ITER [1552/1666] 
LOSS: 0.00055883, TIME: 41257.2s
STEP [114860], EPOCH [69/100], ITER [1572/1666] 
LOSS: 0.00082618, TIME: 41264.5s
STEP [114880], EPOCH [69/100], ITER [1592/1666] 
LOSS: 0.00070525, TIME: 41271.9s
STEP [114900], EPOCH [69/100], ITER [1612/1666] 
LOSS: 0.00098971, TIME: 41279.2s
STEP [114920], EPOCH [69/100], ITER [1632/1666] 
LOSS: 0.00051905, TIME: 41286.5s
STEP [114940], EPOCH [69/100], ITER [1652/1666] 
LOSS: 0.00081034, TIME: 41293.9s
STEP [114960], EPOCH [70/100], ITER [6/1666] 
LOSS: 0.00149564, TIME: 41309.8s
STEP [114980], EPOCH [70/100], ITER [26/1666] 
LOSS: 0.00072226, TIME: 41317.1s
STEP [115000], EPOCH [70/100], ITER [46/1666] 
LOSS: 0.00105564, TIME: 41322.2s
STEP [115020], EPOCH [70/100], ITER [66/1666] 
LOSS: 0.00066833, TIME: 41327.2s
STEP [115040], EPOCH [70/100], ITER [86/1666] 
LOSS: 0.00097143, TIME: 41334.6s
STEP [115060], EPOCH [70/100], ITER [106/1666] 
LOSS: 0.00155542, TIME: 41341.9s
STEP [115080], EPOCH [70/100], ITER [126/1666] 
LOSS: 0.00072855, TIME: 41349.2s
STEP [115100], EPOCH [70/100], ITER [146/1666] 
LOSS: 0.00096160, TIME: 41356.5s
STEP [115120], EPOCH [70/100], ITER [166/1666] 
LOSS: 0.00069236, TIME: 41363.9s
STEP [115140], EPOCH [70/100], ITER [186/1666] 
LOSS: 0.00072867, TIME: 41371.2s
STEP [115160], EPOCH [70/100], ITER [206/1666] 
LOSS: 0.00062787, TIME: 41378.5s
STEP [115180], EPOCH [70/100], ITER [226/1666] 
LOSS: 0.00086197, TIME: 41385.8s
STEP [115200], EPOCH [70/100], ITER [246/1666] 
LOSS: 0.00086226, TIME: 41393.1s
STEP [115220], EPOCH [70/100], ITER [266/1666] 
LOSS: 0.00051415, TIME: 41400.5s
STEP [115240], EPOCH [70/100], ITER [286/1666] 
LOSS: 0.00091777, TIME: 41407.8s
STEP [115260], EPOCH [70/100], ITER [306/1666] 
LOSS: 0.00096757, TIME: 41415.1s
STEP [115280], EPOCH [70/100], ITER [326/1666] 
LOSS: 0.00091838, TIME: 41422.4s
STEP [115300], EPOCH [70/100], ITER [346/1666] 
LOSS: 0.00092866, TIME: 41429.7s
STEP [115320], EPOCH [70/100], ITER [366/1666] 
LOSS: 0.00124023, TIME: 41437.1s
STEP [115340], EPOCH [70/100], ITER [386/1666] 
LOSS: 0.00078804, TIME: 41444.4s
STEP [115360], EPOCH [70/100], ITER [406/1666] 
LOSS: 0.00064090, TIME: 41451.7s
STEP [115380], EPOCH [70/100], ITER [426/1666] 
LOSS: 0.00057076, TIME: 41459.1s
STEP [115400], EPOCH [70/100], ITER [446/1666] 
LOSS: 0.00057643, TIME: 41466.4s
STEP [115420], EPOCH [70/100], ITER [466/1666] 
LOSS: 0.00058032, TIME: 41473.7s
STEP [115440], EPOCH [70/100], ITER [486/1666] 
LOSS: 0.00113419, TIME: 41481.0s
STEP [115460], EPOCH [70/100], ITER [506/1666] 
LOSS: 0.00074967, TIME: 41488.3s
STEP [115480], EPOCH [70/100], ITER [526/1666] 
LOSS: 0.00072410, TIME: 41495.6s
STEP [115500], EPOCH [70/100], ITER [546/1666] 
LOSS: 0.00109118, TIME: 41502.9s
STEP [115520], EPOCH [70/100], ITER [566/1666] 
LOSS: 0.00062999, TIME: 41510.3s
STEP [115540], EPOCH [70/100], ITER [586/1666] 
LOSS: 0.00072259, TIME: 41517.6s
STEP [115560], EPOCH [70/100], ITER [606/1666] 
LOSS: 0.00089836, TIME: 41524.9s
STEP [115580], EPOCH [70/100], ITER [626/1666] 
LOSS: 0.00069855, TIME: 41532.3s
STEP [115600], EPOCH [70/100], ITER [646/1666] 
LOSS: 0.00069159, TIME: 41539.6s
STEP [115620], EPOCH [70/100], ITER [666/1666] 
LOSS: 0.00091910, TIME: 41546.9s
STEP [115640], EPOCH [70/100], ITER [686/1666] 
LOSS: 0.00070106, TIME: 41554.2s
STEP [115660], EPOCH [70/100], ITER [706/1666] 
LOSS: 0.00085721, TIME: 41561.5s
STEP [115680], EPOCH [70/100], ITER [726/1666] 
LOSS: 0.00099270, TIME: 41568.8s
STEP [115700], EPOCH [70/100], ITER [746/1666] 
LOSS: 0.00075549, TIME: 41576.1s
STEP [115720], EPOCH [70/100], ITER [766/1666] 
LOSS: 0.00059667, TIME: 41583.5s
STEP [115740], EPOCH [70/100], ITER [786/1666] 
LOSS: 0.00077192, TIME: 41590.8s
STEP [115760], EPOCH [70/100], ITER [806/1666] 
LOSS: 0.00102621, TIME: 41598.1s
STEP [115780], EPOCH [70/100], ITER [826/1666] 
LOSS: 0.00113149, TIME: 41605.4s
STEP [115800], EPOCH [70/100], ITER [846/1666] 
LOSS: 0.00077356, TIME: 41612.7s
STEP [115820], EPOCH [70/100], ITER [866/1666] 
LOSS: 0.00071506, TIME: 41620.0s
STEP [115840], EPOCH [70/100], ITER [886/1666] 
LOSS: 0.00081852, TIME: 41627.4s
STEP [115860], EPOCH [70/100], ITER [906/1666] 
LOSS: 0.00051951, TIME: 41634.7s
STEP [115880], EPOCH [70/100], ITER [926/1666] 
LOSS: 0.00082730, TIME: 41642.0s
STEP [115900], EPOCH [70/100], ITER [946/1666] 
LOSS: 0.00058151, TIME: 41649.3s
STEP [115920], EPOCH [70/100], ITER [966/1666] 
LOSS: 0.00089520, TIME: 41656.6s
STEP [115940], EPOCH [70/100], ITER [986/1666] 
LOSS: 0.00089934, TIME: 41664.0s
STEP [115960], EPOCH [70/100], ITER [1006/1666] 
LOSS: 0.00129189, TIME: 41671.3s
STEP [115980], EPOCH [70/100], ITER [1026/1666] 
LOSS: 0.00078088, TIME: 41678.6s
STEP [116000], EPOCH [70/100], ITER [1046/1666] 
LOSS: 0.00087514, TIME: 41686.0s
STEP [116020], EPOCH [70/100], ITER [1066/1666] 
LOSS: 0.00068232, TIME: 41693.3s
STEP [116040], EPOCH [70/100], ITER [1086/1666] 
LOSS: 0.00069673, TIME: 41700.6s
STEP [116060], EPOCH [70/100], ITER [1106/1666] 
LOSS: 0.00063950, TIME: 41708.0s
STEP [116080], EPOCH [70/100], ITER [1126/1666] 
LOSS: 0.00050262, TIME: 41715.3s
STEP [116100], EPOCH [70/100], ITER [1146/1666] 
LOSS: 0.00102438, TIME: 41722.6s
STEP [116120], EPOCH [70/100], ITER [1166/1666] 
LOSS: 0.00078482, TIME: 41729.9s
STEP [116140], EPOCH [70/100], ITER [1186/1666] 
LOSS: 0.00051324, TIME: 41737.2s
STEP [116160], EPOCH [70/100], ITER [1206/1666] 
LOSS: 0.00073577, TIME: 41744.6s
STEP [116180], EPOCH [70/100], ITER [1226/1666] 
LOSS: 0.00090229, TIME: 41751.9s
STEP [116200], EPOCH [70/100], ITER [1246/1666] 
LOSS: 0.00078967, TIME: 41759.2s
STEP [116220], EPOCH [70/100], ITER [1266/1666] 
LOSS: 0.00086485, TIME: 41766.6s
STEP [116240], EPOCH [70/100], ITER [1286/1666] 
LOSS: 0.00070072, TIME: 41773.9s
STEP [116260], EPOCH [70/100], ITER [1306/1666] 
LOSS: 0.00107841, TIME: 41781.2s
STEP [116280], EPOCH [70/100], ITER [1326/1666] 
LOSS: 0.00071446, TIME: 41788.6s
STEP [116300], EPOCH [70/100], ITER [1346/1666] 
LOSS: 0.00188902, TIME: 41795.9s
STEP [116320], EPOCH [70/100], ITER [1366/1666] 
LOSS: 0.00091331, TIME: 41803.2s
STEP [116340], EPOCH [70/100], ITER [1386/1666] 
LOSS: 0.00073702, TIME: 41810.5s
STEP [116360], EPOCH [70/100], ITER [1406/1666] 
LOSS: 0.00078253, TIME: 41817.8s
STEP [116380], EPOCH [70/100], ITER [1426/1666] 
LOSS: 0.00088718, TIME: 41825.1s
STEP [116400], EPOCH [70/100], ITER [1446/1666] 
LOSS: 0.00073624, TIME: 41832.4s
STEP [116420], EPOCH [70/100], ITER [1466/1666] 
LOSS: 0.00047777, TIME: 41839.7s
STEP [116440], EPOCH [70/100], ITER [1486/1666] 
LOSS: 0.00044113, TIME: 41847.0s
STEP [116460], EPOCH [70/100], ITER [1506/1666] 
LOSS: 0.00059189, TIME: 41854.4s
STEP [116480], EPOCH [70/100], ITER [1526/1666] 
LOSS: 0.00064432, TIME: 41861.7s
STEP [116500], EPOCH [70/100], ITER [1546/1666] 
LOSS: 0.00066332, TIME: 41869.0s
STEP [116520], EPOCH [70/100], ITER [1566/1666] 
LOSS: 0.00072777, TIME: 41876.3s
STEP [116540], EPOCH [70/100], ITER [1586/1666] 
LOSS: 0.00075596, TIME: 41883.6s
STEP [116560], EPOCH [70/100], ITER [1606/1666] 
LOSS: 0.00086194, TIME: 41890.9s
STEP [116580], EPOCH [70/100], ITER [1626/1666] 
LOSS: 0.00073069, TIME: 41898.2s
STEP [116600], EPOCH [70/100], ITER [1646/1666] 
LOSS: 0.00088295, TIME: 41905.5s
STEP [116620], EPOCH [70/100], ITER [1666/1666] 
LOSS: 0.00088377, TIME: 41912.7s
STEP [116640], EPOCH [71/100], ITER [20/1666] 
LOSS: 0.00073913, TIME: 41929.2s
STEP [116660], EPOCH [71/100], ITER [40/1666] 
LOSS: 0.00082989, TIME: 41936.5s
STEP [116680], EPOCH [71/100], ITER [60/1666] 
LOSS: 0.00084138, TIME: 41943.8s
STEP [116700], EPOCH [71/100], ITER [80/1666] 
LOSS: 0.00059684, TIME: 41951.1s
STEP [116720], EPOCH [71/100], ITER [100/1666] 
LOSS: 0.00133394, TIME: 41958.4s
STEP [116740], EPOCH [71/100], ITER [120/1666] 
LOSS: 0.00099668, TIME: 41965.7s
STEP [116760], EPOCH [71/100], ITER [140/1666] 
LOSS: 0.00065597, TIME: 41973.1s
STEP [116780], EPOCH [71/100], ITER [160/1666] 
LOSS: 0.00089428, TIME: 41980.4s
STEP [116800], EPOCH [71/100], ITER [180/1666] 
LOSS: 0.00101010, TIME: 41987.7s
STEP [116820], EPOCH [71/100], ITER [200/1666] 
LOSS: 0.00105646, TIME: 41995.1s
STEP [116840], EPOCH [71/100], ITER [220/1666] 
LOSS: 0.00079498, TIME: 42002.3s
STEP [116860], EPOCH [71/100], ITER [240/1666] 
LOSS: 0.00062033, TIME: 42009.7s
STEP [116880], EPOCH [71/100], ITER [260/1666] 
LOSS: 0.00070741, TIME: 42017.0s
STEP [116900], EPOCH [71/100], ITER [280/1666] 
LOSS: 0.00116409, TIME: 42024.2s
STEP [116920], EPOCH [71/100], ITER [300/1666] 
LOSS: 0.00067025, TIME: 42031.6s
STEP [116940], EPOCH [71/100], ITER [320/1666] 
LOSS: 0.00079880, TIME: 42038.9s
STEP [116960], EPOCH [71/100], ITER [340/1666] 
LOSS: 0.00076976, TIME: 42046.2s
STEP [116980], EPOCH [71/100], ITER [360/1666] 
LOSS: 0.00099716, TIME: 42053.6s
STEP [117000], EPOCH [71/100], ITER [380/1666] 
LOSS: 0.00085023, TIME: 42060.9s
STEP [117020], EPOCH [71/100], ITER [400/1666] 
LOSS: 0.00077958, TIME: 42068.2s
STEP [117040], EPOCH [71/100], ITER [420/1666] 
LOSS: 0.00097257, TIME: 42075.6s
STEP [117060], EPOCH [71/100], ITER [440/1666] 
LOSS: 0.00090850, TIME: 42082.9s
STEP [117080], EPOCH [71/100], ITER [460/1666] 
LOSS: 0.00102947, TIME: 42090.2s
STEP [117100], EPOCH [71/100], ITER [480/1666] 
LOSS: 0.00054845, TIME: 42097.5s
STEP [117120], EPOCH [71/100], ITER [500/1666] 
LOSS: 0.00078530, TIME: 42104.8s
STEP [117140], EPOCH [71/100], ITER [520/1666] 
LOSS: 0.00089432, TIME: 42112.1s
STEP [117160], EPOCH [71/100], ITER [540/1666] 
LOSS: 0.00057632, TIME: 42119.4s
STEP [117180], EPOCH [71/100], ITER [560/1666] 
LOSS: 0.00064461, TIME: 42126.7s
STEP [117200], EPOCH [71/100], ITER [580/1666] 
LOSS: 0.00089351, TIME: 42134.0s
STEP [117220], EPOCH [71/100], ITER [600/1666] 
LOSS: 0.00089522, TIME: 42141.3s
STEP [117240], EPOCH [71/100], ITER [620/1666] 
LOSS: 0.00142746, TIME: 42148.7s
STEP [117260], EPOCH [71/100], ITER [640/1666] 
LOSS: 0.00081634, TIME: 42156.0s
STEP [117280], EPOCH [71/100], ITER [660/1666] 
LOSS: 0.00097843, TIME: 42163.3s
STEP [117300], EPOCH [71/100], ITER [680/1666] 
LOSS: 0.00084175, TIME: 42170.6s
STEP [117320], EPOCH [71/100], ITER [700/1666] 
LOSS: 0.00066878, TIME: 42177.9s
STEP [117340], EPOCH [71/100], ITER [720/1666] 
LOSS: 0.00080125, TIME: 42185.2s
STEP [117360], EPOCH [71/100], ITER [740/1666] 
LOSS: 0.00048215, TIME: 42192.5s
STEP [117380], EPOCH [71/100], ITER [760/1666] 
LOSS: 0.00050344, TIME: 42199.8s
STEP [117400], EPOCH [71/100], ITER [780/1666] 
LOSS: 0.00069433, TIME: 42207.1s
STEP [117420], EPOCH [71/100], ITER [800/1666] 
LOSS: 0.00084836, TIME: 42214.4s
STEP [117440], EPOCH [71/100], ITER [820/1666] 
LOSS: 0.00074517, TIME: 42221.7s
STEP [117460], EPOCH [71/100], ITER [840/1666] 
LOSS: 0.00117372, TIME: 42229.1s
STEP [117480], EPOCH [71/100], ITER [860/1666] 
LOSS: 0.00052815, TIME: 42236.4s
STEP [117500], EPOCH [71/100], ITER [880/1666] 
LOSS: 0.00121129, TIME: 42243.7s
STEP [117520], EPOCH [71/100], ITER [900/1666] 
LOSS: 0.00069240, TIME: 42251.0s
STEP [117540], EPOCH [71/100], ITER [920/1666] 
LOSS: 0.00079327, TIME: 42258.3s
STEP [117560], EPOCH [71/100], ITER [940/1666] 
LOSS: 0.00104045, TIME: 42265.6s
STEP [117580], EPOCH [71/100], ITER [960/1666] 
LOSS: 0.00114632, TIME: 42272.9s
STEP [117600], EPOCH [71/100], ITER [980/1666] 
LOSS: 0.00085682, TIME: 42280.2s
STEP [117620], EPOCH [71/100], ITER [1000/1666] 
LOSS: 0.00057728, TIME: 42287.5s
STEP [117640], EPOCH [71/100], ITER [1020/1666] 
LOSS: 0.00075763, TIME: 42294.9s
STEP [117660], EPOCH [71/100], ITER [1040/1666] 
LOSS: 0.00059745, TIME: 42302.2s
STEP [117680], EPOCH [71/100], ITER [1060/1666] 
LOSS: 0.00055375, TIME: 42309.5s
STEP [117700], EPOCH [71/100], ITER [1080/1666] 
LOSS: 0.00076955, TIME: 42316.9s
STEP [117720], EPOCH [71/100], ITER [1100/1666] 
LOSS: 0.00100633, TIME: 42324.2s
STEP [117740], EPOCH [71/100], ITER [1120/1666] 
LOSS: 0.00071141, TIME: 42331.5s
STEP [117760], EPOCH [71/100], ITER [1140/1666] 
LOSS: 0.00078652, TIME: 42338.7s
STEP [117780], EPOCH [71/100], ITER [1160/1666] 
LOSS: 0.00084513, TIME: 42346.0s
STEP [117800], EPOCH [71/100], ITER [1180/1666] 
LOSS: 0.00103091, TIME: 42353.4s
STEP [117820], EPOCH [71/100], ITER [1200/1666] 
LOSS: 0.00119582, TIME: 42360.7s
STEP [117840], EPOCH [71/100], ITER [1220/1666] 
LOSS: 0.00103025, TIME: 42368.0s
STEP [117860], EPOCH [71/100], ITER [1240/1666] 
LOSS: 0.00082162, TIME: 42375.3s
STEP [117880], EPOCH [71/100], ITER [1260/1666] 
LOSS: 0.00073154, TIME: 42382.7s
STEP [117900], EPOCH [71/100], ITER [1280/1666] 
LOSS: 0.00080344, TIME: 42390.0s
STEP [117920], EPOCH [71/100], ITER [1300/1666] 
LOSS: 0.00078829, TIME: 42397.3s
STEP [117940], EPOCH [71/100], ITER [1320/1666] 
LOSS: 0.00048750, TIME: 42404.7s
STEP [117960], EPOCH [71/100], ITER [1340/1666] 
LOSS: 0.00110185, TIME: 42412.0s
STEP [117980], EPOCH [71/100], ITER [1360/1666] 
LOSS: 0.00076121, TIME: 42419.3s
STEP [118000], EPOCH [71/100], ITER [1380/1666] 
LOSS: 0.00085333, TIME: 42426.6s
STEP [118020], EPOCH [71/100], ITER [1400/1666] 
LOSS: 0.00083268, TIME: 42433.9s
STEP [118040], EPOCH [71/100], ITER [1420/1666] 
LOSS: 0.00102403, TIME: 42441.2s
STEP [118060], EPOCH [71/100], ITER [1440/1666] 
LOSS: 0.00055204, TIME: 42448.6s
STEP [118080], EPOCH [71/100], ITER [1460/1666] 
LOSS: 0.00110639, TIME: 42455.9s
STEP [118100], EPOCH [71/100], ITER [1480/1666] 
LOSS: 0.00111426, TIME: 42463.2s
STEP [118120], EPOCH [71/100], ITER [1500/1666] 
LOSS: 0.00060300, TIME: 42470.6s
STEP [118140], EPOCH [71/100], ITER [1520/1666] 
LOSS: 0.00140622, TIME: 42477.9s
STEP [118160], EPOCH [71/100], ITER [1540/1666] 
LOSS: 0.00045871, TIME: 42485.2s
STEP [118180], EPOCH [71/100], ITER [1560/1666] 
LOSS: 0.00134601, TIME: 42492.5s
STEP [118200], EPOCH [71/100], ITER [1580/1666] 
LOSS: 0.00076088, TIME: 42499.8s
STEP [118220], EPOCH [71/100], ITER [1600/1666] 
LOSS: 0.00101562, TIME: 42507.1s
STEP [118240], EPOCH [71/100], ITER [1620/1666] 
LOSS: 0.00112845, TIME: 42514.4s
STEP [118260], EPOCH [71/100], ITER [1640/1666] 
LOSS: 0.00099543, TIME: 42521.8s
STEP [118280], EPOCH [71/100], ITER [1660/1666] 
LOSS: 0.00072252, TIME: 42529.1s
STEP [118300], EPOCH [72/100], ITER [14/1666] 
LOSS: 0.00080626, TIME: 42545.4s
STEP [118320], EPOCH [72/100], ITER [34/1666] 
LOSS: 0.00054072, TIME: 42552.7s
STEP [118340], EPOCH [72/100], ITER [54/1666] 
LOSS: 0.00059423, TIME: 42560.1s
STEP [118360], EPOCH [72/100], ITER [74/1666] 
LOSS: 0.00049915, TIME: 42567.3s
STEP [118380], EPOCH [72/100], ITER [94/1666] 
LOSS: 0.00079087, TIME: 42574.6s
STEP [118400], EPOCH [72/100], ITER [114/1666] 
LOSS: 0.00099913, TIME: 42582.0s
STEP [118420], EPOCH [72/100], ITER [134/1666] 
LOSS: 0.00078607, TIME: 42589.3s
STEP [118440], EPOCH [72/100], ITER [154/1666] 
LOSS: 0.00077732, TIME: 42596.6s
STEP [118460], EPOCH [72/100], ITER [174/1666] 
LOSS: 0.00080247, TIME: 42603.9s
STEP [118480], EPOCH [72/100], ITER [194/1666] 
LOSS: 0.00103272, TIME: 42611.3s
STEP [118500], EPOCH [72/100], ITER [214/1666] 
LOSS: 0.00133132, TIME: 42618.6s
STEP [118520], EPOCH [72/100], ITER [234/1666] 
LOSS: 0.00064710, TIME: 42625.9s
STEP [118540], EPOCH [72/100], ITER [254/1666] 
LOSS: 0.00095265, TIME: 42633.2s
STEP [118560], EPOCH [72/100], ITER [274/1666] 
LOSS: 0.00109443, TIME: 42640.6s
STEP [118580], EPOCH [72/100], ITER [294/1666] 
LOSS: 0.00099919, TIME: 42647.8s
STEP [118600], EPOCH [72/100], ITER [314/1666] 
LOSS: 0.00088354, TIME: 42655.1s
STEP [118620], EPOCH [72/100], ITER [334/1666] 
LOSS: 0.00095174, TIME: 42662.5s
STEP [118640], EPOCH [72/100], ITER [354/1666] 
LOSS: 0.00090020, TIME: 42669.8s
STEP [118660], EPOCH [72/100], ITER [374/1666] 
LOSS: 0.00082887, TIME: 42677.1s
STEP [118680], EPOCH [72/100], ITER [394/1666] 
LOSS: 0.00084404, TIME: 42684.4s
STEP [118700], EPOCH [72/100], ITER [414/1666] 
LOSS: 0.00074923, TIME: 42691.8s
STEP [118720], EPOCH [72/100], ITER [434/1666] 
LOSS: 0.00095584, TIME: 42699.1s
STEP [118740], EPOCH [72/100], ITER [454/1666] 
LOSS: 0.00072224, TIME: 42706.4s
STEP [118760], EPOCH [72/100], ITER [474/1666] 
LOSS: 0.00083866, TIME: 42713.8s
STEP [118780], EPOCH [72/100], ITER [494/1666] 
LOSS: 0.00059627, TIME: 42721.1s
STEP [118800], EPOCH [72/100], ITER [514/1666] 
LOSS: 0.00065968, TIME: 42728.4s
STEP [118820], EPOCH [72/100], ITER [534/1666] 
LOSS: 0.00090553, TIME: 42735.7s
STEP [118840], EPOCH [72/100], ITER [554/1666] 
LOSS: 0.00067091, TIME: 42743.1s
STEP [118860], EPOCH [72/100], ITER [574/1666] 
LOSS: 0.00078852, TIME: 42750.4s
STEP [118880], EPOCH [72/100], ITER [594/1666] 
LOSS: 0.00128054, TIME: 42757.7s
STEP [118900], EPOCH [72/100], ITER [614/1666] 
LOSS: 0.00042644, TIME: 42765.1s
STEP [118920], EPOCH [72/100], ITER [634/1666] 
LOSS: 0.00089266, TIME: 42772.4s
STEP [118940], EPOCH [72/100], ITER [654/1666] 
LOSS: 0.00060449, TIME: 42779.7s
STEP [118960], EPOCH [72/100], ITER [674/1666] 
LOSS: 0.00070118, TIME: 42787.0s
STEP [118980], EPOCH [72/100], ITER [694/1666] 
LOSS: 0.00074216, TIME: 42794.4s
STEP [119000], EPOCH [72/100], ITER [714/1666] 
LOSS: 0.00060197, TIME: 42801.6s
STEP [119020], EPOCH [72/100], ITER [734/1666] 
LOSS: 0.00072104, TIME: 42809.0s
STEP [119040], EPOCH [72/100], ITER [754/1666] 
LOSS: 0.00072692, TIME: 42816.3s
STEP [119060], EPOCH [72/100], ITER [774/1666] 
LOSS: 0.00067872, TIME: 42823.6s
STEP [119080], EPOCH [72/100], ITER [794/1666] 
LOSS: 0.00076929, TIME: 42830.9s
STEP [119100], EPOCH [72/100], ITER [814/1666] 
LOSS: 0.00117301, TIME: 42838.3s
STEP [119120], EPOCH [72/100], ITER [834/1666] 
LOSS: 0.00091422, TIME: 42845.6s
STEP [119140], EPOCH [72/100], ITER [854/1666] 
LOSS: 0.00113536, TIME: 42852.9s
STEP [119160], EPOCH [72/100], ITER [874/1666] 
LOSS: 0.00104632, TIME: 42860.2s
STEP [119180], EPOCH [72/100], ITER [894/1666] 
LOSS: 0.00084149, TIME: 42867.6s
STEP [119200], EPOCH [72/100], ITER [914/1666] 
LOSS: 0.00070649, TIME: 42874.9s
STEP [119220], EPOCH [72/100], ITER [934/1666] 
LOSS: 0.00065099, TIME: 42880.3s
STEP [119240], EPOCH [72/100], ITER [954/1666] 
LOSS: 0.00053569, TIME: 42885.1s
STEP [119260], EPOCH [72/100], ITER [974/1666] 
LOSS: 0.00077339, TIME: 42892.4s
STEP [119280], EPOCH [72/100], ITER [994/1666] 
LOSS: 0.00148369, TIME: 42899.7s
STEP [119300], EPOCH [72/100], ITER [1014/1666] 
LOSS: 0.00087978, TIME: 42907.0s
STEP [119320], EPOCH [72/100], ITER [1034/1666] 
LOSS: 0.00075058, TIME: 42914.3s
STEP [119340], EPOCH [72/100], ITER [1054/1666] 
LOSS: 0.00084253, TIME: 42921.7s
STEP [119360], EPOCH [72/100], ITER [1074/1666] 
LOSS: 0.00069719, TIME: 42929.0s
STEP [119380], EPOCH [72/100], ITER [1094/1666] 
LOSS: 0.00118171, TIME: 42936.3s
STEP [119400], EPOCH [72/100], ITER [1114/1666] 
LOSS: 0.00075956, TIME: 42943.7s
STEP [119420], EPOCH [72/100], ITER [1134/1666] 
LOSS: 0.00154754, TIME: 42951.0s
STEP [119440], EPOCH [72/100], ITER [1154/1666] 
LOSS: 0.00036502, TIME: 42958.3s
STEP [119460], EPOCH [72/100], ITER [1174/1666] 
LOSS: 0.00067452, TIME: 42965.6s
STEP [119480], EPOCH [72/100], ITER [1194/1666] 
LOSS: 0.00042973, TIME: 42973.0s
STEP [119500], EPOCH [72/100], ITER [1214/1666] 
LOSS: 0.00097235, TIME: 42980.3s
STEP [119520], EPOCH [72/100], ITER [1234/1666] 
LOSS: 0.00088917, TIME: 42987.6s
STEP [119540], EPOCH [72/100], ITER [1254/1666] 
LOSS: 0.00056081, TIME: 42994.9s
STEP [119560], EPOCH [72/100], ITER [1274/1666] 
LOSS: 0.00094488, TIME: 43002.2s
STEP [119580], EPOCH [72/100], ITER [1294/1666] 
LOSS: 0.00062346, TIME: 43009.6s
STEP [119600], EPOCH [72/100], ITER [1314/1666] 
LOSS: 0.00073824, TIME: 43016.9s
STEP [119620], EPOCH [72/100], ITER [1334/1666] 
LOSS: 0.00078980, TIME: 43024.2s
STEP [119640], EPOCH [72/100], ITER [1354/1666] 
LOSS: 0.00096283, TIME: 43031.5s
STEP [119660], EPOCH [72/100], ITER [1374/1666] 
LOSS: 0.00079148, TIME: 43038.9s
STEP [119680], EPOCH [72/100], ITER [1394/1666] 
LOSS: 0.00126127, TIME: 43046.2s
STEP [119700], EPOCH [72/100], ITER [1414/1666] 
LOSS: 0.00089468, TIME: 43053.5s
STEP [119720], EPOCH [72/100], ITER [1434/1666] 
LOSS: 0.00043103, TIME: 43060.8s
STEP [119740], EPOCH [72/100], ITER [1454/1666] 
LOSS: 0.00089865, TIME: 43068.2s
STEP [119760], EPOCH [72/100], ITER [1474/1666] 
LOSS: 0.00055146, TIME: 43075.5s
STEP [119780], EPOCH [72/100], ITER [1494/1666] 
LOSS: 0.00079973, TIME: 43082.8s
STEP [119800], EPOCH [72/100], ITER [1514/1666] 
LOSS: 0.00095195, TIME: 43090.1s
STEP [119820], EPOCH [72/100], ITER [1534/1666] 
LOSS: 0.00070744, TIME: 43097.5s
STEP [119840], EPOCH [72/100], ITER [1554/1666] 
LOSS: 0.00050261, TIME: 43104.8s
STEP [119860], EPOCH [72/100], ITER [1574/1666] 
LOSS: 0.00068953, TIME: 43112.1s
STEP [119880], EPOCH [72/100], ITER [1594/1666] 
LOSS: 0.00080060, TIME: 43119.4s
STEP [119900], EPOCH [72/100], ITER [1614/1666] 
LOSS: 0.00092809, TIME: 43126.7s
STEP [119920], EPOCH [72/100], ITER [1634/1666] 
LOSS: 0.00064368, TIME: 43134.0s
STEP [119940], EPOCH [72/100], ITER [1654/1666] 
LOSS: 0.00077569, TIME: 43141.4s
STEP [119960], EPOCH [73/100], ITER [8/1666] 
LOSS: 0.00076617, TIME: 43157.2s
STEP [119980], EPOCH [73/100], ITER [28/1666] 
LOSS: 0.00059403, TIME: 43164.6s
STEP [120000], EPOCH [73/100], ITER [48/1666] 
LOSS: 0.00140340, TIME: 43171.9s
STEP [120020], EPOCH [73/100], ITER [68/1666] 
LOSS: 0.00084818, TIME: 43179.2s
STEP [120040], EPOCH [73/100], ITER [88/1666] 
LOSS: 0.00068343, TIME: 43186.6s
STEP [120060], EPOCH [73/100], ITER [108/1666] 
LOSS: 0.00066981, TIME: 43193.8s
STEP [120080], EPOCH [73/100], ITER [128/1666] 
LOSS: 0.00064054, TIME: 43201.1s
STEP [120100], EPOCH [73/100], ITER [148/1666] 
LOSS: 0.00062209, TIME: 43208.5s
STEP [120120], EPOCH [73/100], ITER [168/1666] 
LOSS: 0.00057165, TIME: 43215.8s
STEP [120140], EPOCH [73/100], ITER [188/1666] 
LOSS: 0.00077710, TIME: 43223.1s
STEP [120160], EPOCH [73/100], ITER [208/1666] 
LOSS: 0.00086354, TIME: 43230.4s
STEP [120180], EPOCH [73/100], ITER [228/1666] 
LOSS: 0.00188490, TIME: 43237.7s
STEP [120200], EPOCH [73/100], ITER [248/1666] 
LOSS: 0.00108777, TIME: 43245.0s
STEP [120220], EPOCH [73/100], ITER [268/1666] 
LOSS: 0.00048711, TIME: 43252.4s
STEP [120240], EPOCH [73/100], ITER [288/1666] 
LOSS: 0.00090996, TIME: 43259.6s
STEP [120260], EPOCH [73/100], ITER [308/1666] 
LOSS: 0.00063035, TIME: 43267.0s
STEP [120280], EPOCH [73/100], ITER [328/1666] 
LOSS: 0.00112445, TIME: 43274.2s
STEP [120300], EPOCH [73/100], ITER [348/1666] 
LOSS: 0.00075335, TIME: 43281.5s
STEP [120320], EPOCH [73/100], ITER [368/1666] 
LOSS: 0.00086685, TIME: 43288.8s
STEP [120340], EPOCH [73/100], ITER [388/1666] 
LOSS: 0.00040442, TIME: 43296.1s
STEP [120360], EPOCH [73/100], ITER [408/1666] 
LOSS: 0.00099051, TIME: 43303.5s
STEP [120380], EPOCH [73/100], ITER [428/1666] 
LOSS: 0.00062931, TIME: 43310.8s
STEP [120400], EPOCH [73/100], ITER [448/1666] 
LOSS: 0.00062404, TIME: 43318.1s
STEP [120420], EPOCH [73/100], ITER [468/1666] 
LOSS: 0.00064047, TIME: 43325.4s
STEP [120440], EPOCH [73/100], ITER [488/1666] 
LOSS: 0.00076993, TIME: 43332.7s
STEP [120460], EPOCH [73/100], ITER [508/1666] 
LOSS: 0.00099161, TIME: 43340.0s
STEP [120480], EPOCH [73/100], ITER [528/1666] 
LOSS: 0.00073986, TIME: 43347.3s
STEP [120500], EPOCH [73/100], ITER [548/1666] 
LOSS: 0.00088431, TIME: 43354.6s
STEP [120520], EPOCH [73/100], ITER [568/1666] 
LOSS: 0.00081642, TIME: 43361.9s
STEP [120540], EPOCH [73/100], ITER [588/1666] 
LOSS: 0.00102642, TIME: 43369.2s
STEP [120560], EPOCH [73/100], ITER [608/1666] 
LOSS: 0.00098675, TIME: 43376.5s
STEP [120580], EPOCH [73/100], ITER [628/1666] 
LOSS: 0.00100839, TIME: 43383.8s
STEP [120600], EPOCH [73/100], ITER [648/1666] 
LOSS: 0.00085866, TIME: 43391.2s
STEP [120620], EPOCH [73/100], ITER [668/1666] 
LOSS: 0.00082088, TIME: 43398.5s
STEP [120640], EPOCH [73/100], ITER [688/1666] 
LOSS: 0.00053110, TIME: 43405.8s
STEP [120660], EPOCH [73/100], ITER [708/1666] 
LOSS: 0.00075102, TIME: 43413.1s
STEP [120680], EPOCH [73/100], ITER [728/1666] 
LOSS: 0.00113380, TIME: 43420.4s
STEP [120700], EPOCH [73/100], ITER [748/1666] 
LOSS: 0.00192820, TIME: 43427.6s
STEP [120720], EPOCH [73/100], ITER [768/1666] 
LOSS: 0.00070532, TIME: 43435.0s
STEP [120740], EPOCH [73/100], ITER [788/1666] 
LOSS: 0.00107370, TIME: 43442.3s
STEP [120760], EPOCH [73/100], ITER [808/1666] 
LOSS: 0.00074989, TIME: 43449.6s
STEP [120780], EPOCH [73/100], ITER [828/1666] 
LOSS: 0.00076317, TIME: 43456.9s
STEP [120800], EPOCH [73/100], ITER [848/1666] 
LOSS: 0.00159561, TIME: 43464.2s
STEP [120820], EPOCH [73/100], ITER [868/1666] 
LOSS: 0.00075222, TIME: 43471.5s
STEP [120840], EPOCH [73/100], ITER [888/1666] 
LOSS: 0.00064588, TIME: 43478.9s
STEP [120860], EPOCH [73/100], ITER [908/1666] 
LOSS: 0.00061947, TIME: 43486.2s
STEP [120880], EPOCH [73/100], ITER [928/1666] 
LOSS: 0.00046595, TIME: 43493.5s
STEP [120900], EPOCH [73/100], ITER [948/1666] 
LOSS: 0.00069219, TIME: 43500.8s
STEP [120920], EPOCH [73/100], ITER [968/1666] 
LOSS: 0.00079378, TIME: 43508.0s
STEP [120940], EPOCH [73/100], ITER [988/1666] 
LOSS: 0.00062444, TIME: 43515.4s
STEP [120960], EPOCH [73/100], ITER [1008/1666] 
LOSS: 0.00110155, TIME: 43522.7s
STEP [120980], EPOCH [73/100], ITER [1028/1666] 
LOSS: 0.00079199, TIME: 43530.0s
STEP [121000], EPOCH [73/100], ITER [1048/1666] 
LOSS: 0.00040804, TIME: 43537.3s
STEP [121020], EPOCH [73/100], ITER [1068/1666] 
LOSS: 0.00080884, TIME: 43544.7s
STEP [121040], EPOCH [73/100], ITER [1088/1666] 
LOSS: 0.00076403, TIME: 43552.0s
STEP [121060], EPOCH [73/100], ITER [1108/1666] 
LOSS: 0.00057836, TIME: 43559.3s
STEP [121080], EPOCH [73/100], ITER [1128/1666] 
LOSS: 0.00080427, TIME: 43566.6s
STEP [121100], EPOCH [73/100], ITER [1148/1666] 
LOSS: 0.00074313, TIME: 43573.9s
STEP [121120], EPOCH [73/100], ITER [1168/1666] 
LOSS: 0.00081069, TIME: 43581.3s
STEP [121140], EPOCH [73/100], ITER [1188/1666] 
LOSS: 0.00057626, TIME: 43588.5s
STEP [121160], EPOCH [73/100], ITER [1208/1666] 
LOSS: 0.00067890, TIME: 43595.8s
STEP [121180], EPOCH [73/100], ITER [1228/1666] 
LOSS: 0.00045364, TIME: 43603.2s
STEP [121200], EPOCH [73/100], ITER [1248/1666] 
LOSS: 0.00081442, TIME: 43610.5s
STEP [121220], EPOCH [73/100], ITER [1268/1666] 
LOSS: 0.00062192, TIME: 43617.8s
STEP [121240], EPOCH [73/100], ITER [1288/1666] 
LOSS: 0.00068979, TIME: 43625.1s
STEP [121260], EPOCH [73/100], ITER [1308/1666] 
LOSS: 0.00090902, TIME: 43632.4s
STEP [121280], EPOCH [73/100], ITER [1328/1666] 
LOSS: 0.00118479, TIME: 43639.7s
STEP [121300], EPOCH [73/100], ITER [1348/1666] 
LOSS: 0.00089530, TIME: 43647.0s
STEP [121320], EPOCH [73/100], ITER [1368/1666] 
LOSS: 0.00059343, TIME: 43654.4s
STEP [121340], EPOCH [73/100], ITER [1388/1666] 
LOSS: 0.00081329, TIME: 43661.7s
STEP [121360], EPOCH [73/100], ITER [1408/1666] 
LOSS: 0.00131130, TIME: 43669.0s
STEP [121380], EPOCH [73/100], ITER [1428/1666] 
LOSS: 0.00072670, TIME: 43676.3s
STEP [121400], EPOCH [73/100], ITER [1448/1666] 
LOSS: 0.00075750, TIME: 43683.6s
STEP [121420], EPOCH [73/100], ITER [1468/1666] 
LOSS: 0.00111364, TIME: 43690.9s
STEP [121440], EPOCH [73/100], ITER [1488/1666] 
LOSS: 0.00087411, TIME: 43698.3s
STEP [121460], EPOCH [73/100], ITER [1508/1666] 
LOSS: 0.00079044, TIME: 43705.6s
STEP [121480], EPOCH [73/100], ITER [1528/1666] 
LOSS: 0.00083381, TIME: 43712.9s
STEP [121500], EPOCH [73/100], ITER [1548/1666] 
LOSS: 0.00126518, TIME: 43720.2s
STEP [121520], EPOCH [73/100], ITER [1568/1666] 
LOSS: 0.00082838, TIME: 43727.5s
STEP [121540], EPOCH [73/100], ITER [1588/1666] 
LOSS: 0.00060647, TIME: 43734.9s
STEP [121560], EPOCH [73/100], ITER [1608/1666] 
LOSS: 0.00074073, TIME: 43742.2s
STEP [121580], EPOCH [73/100], ITER [1628/1666] 
LOSS: 0.00043374, TIME: 43749.5s
STEP [121600], EPOCH [73/100], ITER [1648/1666] 
LOSS: 0.00106674, TIME: 43756.8s
STEP [121620], EPOCH [74/100], ITER [2/1666] 
LOSS: 0.00084895, TIME: 43772.9s
STEP [121640], EPOCH [74/100], ITER [22/1666] 
LOSS: 0.00070171, TIME: 43780.2s
STEP [121660], EPOCH [74/100], ITER [42/1666] 
LOSS: 0.00049070, TIME: 43787.6s
STEP [121680], EPOCH [74/100], ITER [62/1666] 
LOSS: 0.00082875, TIME: 43794.9s
STEP [121700], EPOCH [74/100], ITER [82/1666] 
LOSS: 0.00095338, TIME: 43802.2s
STEP [121720], EPOCH [74/100], ITER [102/1666] 
LOSS: 0.00080297, TIME: 43809.5s
STEP [121740], EPOCH [74/100], ITER [122/1666] 
LOSS: 0.00119077, TIME: 43816.8s
STEP [121760], EPOCH [74/100], ITER [142/1666] 
LOSS: 0.00173453, TIME: 43824.1s
STEP [121780], EPOCH [74/100], ITER [162/1666] 
LOSS: 0.00090292, TIME: 43831.4s
STEP [121800], EPOCH [74/100], ITER [182/1666] 
LOSS: 0.00055151, TIME: 43838.8s
STEP [121820], EPOCH [74/100], ITER [202/1666] 
LOSS: 0.00065501, TIME: 43846.1s
STEP [121840], EPOCH [74/100], ITER [222/1666] 
LOSS: 0.00114830, TIME: 43853.4s
STEP [121860], EPOCH [74/100], ITER [242/1666] 
LOSS: 0.00070074, TIME: 43860.7s
STEP [121880], EPOCH [74/100], ITER [262/1666] 
LOSS: 0.00084409, TIME: 43868.0s
STEP [121900], EPOCH [74/100], ITER [282/1666] 
LOSS: 0.00063964, TIME: 43875.4s
STEP [121920], EPOCH [74/100], ITER [302/1666] 
LOSS: 0.00089978, TIME: 43882.7s
STEP [121940], EPOCH [74/100], ITER [322/1666] 
LOSS: 0.00076321, TIME: 43890.0s
STEP [121960], EPOCH [74/100], ITER [342/1666] 
LOSS: 0.00060596, TIME: 43897.3s
STEP [121980], EPOCH [74/100], ITER [362/1666] 
LOSS: 0.00107272, TIME: 43904.6s
STEP [122000], EPOCH [74/100], ITER [382/1666] 
LOSS: 0.00047676, TIME: 43911.9s
STEP [122020], EPOCH [74/100], ITER [402/1666] 
LOSS: 0.00069874, TIME: 43919.3s
STEP [122040], EPOCH [74/100], ITER [422/1666] 
LOSS: 0.00092023, TIME: 43926.6s
STEP [122060], EPOCH [74/100], ITER [442/1666] 
LOSS: 0.00078058, TIME: 43933.9s
STEP [122080], EPOCH [74/100], ITER [462/1666] 
LOSS: 0.00080563, TIME: 43941.2s
STEP [122100], EPOCH [74/100], ITER [482/1666] 
LOSS: 0.00149240, TIME: 43948.6s
STEP [122120], EPOCH [74/100], ITER [502/1666] 
LOSS: 0.00072494, TIME: 43955.9s
STEP [122140], EPOCH [74/100], ITER [522/1666] 
LOSS: 0.00114195, TIME: 43963.2s
STEP [122160], EPOCH [74/100], ITER [542/1666] 
LOSS: 0.00110748, TIME: 43970.5s
STEP [122180], EPOCH [74/100], ITER [562/1666] 
LOSS: 0.00067031, TIME: 43977.8s
STEP [122200], EPOCH [74/100], ITER [582/1666] 
LOSS: 0.00102603, TIME: 43985.1s
STEP [122220], EPOCH [74/100], ITER [602/1666] 
LOSS: 0.00086838, TIME: 43992.5s
STEP [122240], EPOCH [74/100], ITER [622/1666] 
LOSS: 0.00054690, TIME: 43999.8s
STEP [122260], EPOCH [74/100], ITER [642/1666] 
LOSS: 0.00061992, TIME: 44007.1s
STEP [122280], EPOCH [74/100], ITER [662/1666] 
LOSS: 0.00068753, TIME: 44014.4s
STEP [122300], EPOCH [74/100], ITER [682/1666] 
LOSS: 0.00107475, TIME: 44021.7s
STEP [122320], EPOCH [74/100], ITER [702/1666] 
LOSS: 0.00048297, TIME: 44029.1s
STEP [122340], EPOCH [74/100], ITER [722/1666] 
LOSS: 0.00108276, TIME: 44036.4s
STEP [122360], EPOCH [74/100], ITER [742/1666] 
LOSS: 0.00047467, TIME: 44043.7s
STEP [122380], EPOCH [74/100], ITER [762/1666] 
LOSS: 0.00119718, TIME: 44050.9s
STEP [122400], EPOCH [74/100], ITER [782/1666] 
LOSS: 0.00122001, TIME: 44058.3s
STEP [122420], EPOCH [74/100], ITER [802/1666] 
LOSS: 0.00062041, TIME: 44065.6s
STEP [122440], EPOCH [74/100], ITER [822/1666] 
LOSS: 0.00098217, TIME: 44072.9s
STEP [122460], EPOCH [74/100], ITER [842/1666] 
LOSS: 0.00099565, TIME: 44080.2s
STEP [122480], EPOCH [74/100], ITER [862/1666] 
LOSS: 0.00096246, TIME: 44087.5s
STEP [122500], EPOCH [74/100], ITER [882/1666] 
LOSS: 0.00047583, TIME: 44094.8s
STEP [122520], EPOCH [74/100], ITER [902/1666] 
LOSS: 0.00078362, TIME: 44102.2s
STEP [122540], EPOCH [74/100], ITER [922/1666] 
LOSS: 0.00086138, TIME: 44109.5s
STEP [122560], EPOCH [74/100], ITER [942/1666] 
LOSS: 0.00068353, TIME: 44116.8s
STEP [122580], EPOCH [74/100], ITER [962/1666] 
LOSS: 0.00143204, TIME: 44124.1s
STEP [122600], EPOCH [74/100], ITER [982/1666] 
LOSS: 0.00095748, TIME: 44131.4s
STEP [122620], EPOCH [74/100], ITER [1002/1666] 
LOSS: 0.00057114, TIME: 44138.7s
STEP [122640], EPOCH [74/100], ITER [1022/1666] 
LOSS: 0.00066111, TIME: 44146.0s
STEP [122660], EPOCH [74/100], ITER [1042/1666] 
LOSS: 0.00063349, TIME: 44153.4s
STEP [122680], EPOCH [74/100], ITER [1062/1666] 
LOSS: 0.00070315, TIME: 44160.7s
STEP [122700], EPOCH [74/100], ITER [1082/1666] 
LOSS: 0.00093691, TIME: 44168.0s
STEP [122720], EPOCH [74/100], ITER [1102/1666] 
LOSS: 0.00082524, TIME: 44175.3s
STEP [122740], EPOCH [74/100], ITER [1122/1666] 
LOSS: 0.00141031, TIME: 44182.6s
STEP [122760], EPOCH [74/100], ITER [1142/1666] 
LOSS: 0.00082621, TIME: 44189.9s
STEP [122780], EPOCH [74/100], ITER [1162/1666] 
LOSS: 0.00081990, TIME: 44197.3s
STEP [122800], EPOCH [74/100], ITER [1182/1666] 
LOSS: 0.00058975, TIME: 44204.6s
STEP [122820], EPOCH [74/100], ITER [1202/1666] 
LOSS: 0.00090682, TIME: 44211.9s
STEP [122840], EPOCH [74/100], ITER [1222/1666] 
LOSS: 0.00077418, TIME: 44219.3s
STEP [122860], EPOCH [74/100], ITER [1242/1666] 
LOSS: 0.00084595, TIME: 44226.6s
STEP [122880], EPOCH [74/100], ITER [1262/1666] 
LOSS: 0.00074352, TIME: 44233.9s
STEP [122900], EPOCH [74/100], ITER [1282/1666] 
LOSS: 0.00131660, TIME: 44241.2s
STEP [122920], EPOCH [74/100], ITER [1302/1666] 
LOSS: 0.00074152, TIME: 44248.5s
STEP [122940], EPOCH [74/100], ITER [1322/1666] 
LOSS: 0.00063715, TIME: 44255.9s
STEP [122960], EPOCH [74/100], ITER [1342/1666] 
LOSS: 0.00069648, TIME: 44263.2s
STEP [122980], EPOCH [74/100], ITER [1362/1666] 
LOSS: 0.00083146, TIME: 44270.5s
STEP [123000], EPOCH [74/100], ITER [1382/1666] 
LOSS: 0.00088068, TIME: 44277.8s
STEP [123020], EPOCH [74/100], ITER [1402/1666] 
LOSS: 0.00090115, TIME: 44285.1s
STEP [123040], EPOCH [74/100], ITER [1422/1666] 
LOSS: 0.00078012, TIME: 44292.5s
STEP [123060], EPOCH [74/100], ITER [1442/1666] 
LOSS: 0.00073986, TIME: 44299.8s
STEP [123080], EPOCH [74/100], ITER [1462/1666] 
LOSS: 0.00077871, TIME: 44307.1s
STEP [123100], EPOCH [74/100], ITER [1482/1666] 
LOSS: 0.00108874, TIME: 44314.4s
STEP [123120], EPOCH [74/100], ITER [1502/1666] 
LOSS: 0.00059632, TIME: 44321.7s
STEP [123140], EPOCH [74/100], ITER [1522/1666] 
LOSS: 0.00085500, TIME: 44329.1s
STEP [123160], EPOCH [74/100], ITER [1542/1666] 
LOSS: 0.00090235, TIME: 44336.4s
STEP [123180], EPOCH [74/100], ITER [1562/1666] 
LOSS: 0.00058579, TIME: 44343.7s
STEP [123200], EPOCH [74/100], ITER [1582/1666] 
LOSS: 0.00098689, TIME: 44351.0s
STEP [123220], EPOCH [74/100], ITER [1602/1666] 
LOSS: 0.00043312, TIME: 44358.3s
STEP [123240], EPOCH [74/100], ITER [1622/1666] 
LOSS: 0.00092140, TIME: 44365.6s
STEP [123260], EPOCH [74/100], ITER [1642/1666] 
LOSS: 0.00069642, TIME: 44372.9s
STEP [123280], EPOCH [74/100], ITER [1662/1666] 
LOSS: 0.00065849, TIME: 44380.2s
STEP [123300], EPOCH [75/100], ITER [16/1666] 
LOSS: 0.00099180, TIME: 44396.1s
STEP [123320], EPOCH [75/100], ITER [36/1666] 
LOSS: 0.00160124, TIME: 44403.4s
STEP [123340], EPOCH [75/100], ITER [56/1666] 
LOSS: 0.00062129, TIME: 44410.7s
STEP [123360], EPOCH [75/100], ITER [76/1666] 
LOSS: 0.00056570, TIME: 44418.0s
STEP [123380], EPOCH [75/100], ITER [96/1666] 
LOSS: 0.00061099, TIME: 44425.4s
STEP [123400], EPOCH [75/100], ITER [116/1666] 
LOSS: 0.00118717, TIME: 44431.0s
STEP [123420], EPOCH [75/100], ITER [136/1666] 
LOSS: 0.00065614, TIME: 44435.7s
STEP [123440], EPOCH [75/100], ITER [156/1666] 
LOSS: 0.00051167, TIME: 44443.0s
STEP [123460], EPOCH [75/100], ITER [176/1666] 
LOSS: 0.00120319, TIME: 44450.3s
STEP [123480], EPOCH [75/100], ITER [196/1666] 
LOSS: 0.00064940, TIME: 44457.6s
STEP [123500], EPOCH [75/100], ITER [216/1666] 
LOSS: 0.00074119, TIME: 44465.0s
STEP [123520], EPOCH [75/100], ITER [236/1666] 
LOSS: 0.00086937, TIME: 44472.3s
STEP [123540], EPOCH [75/100], ITER [256/1666] 
LOSS: 0.00117869, TIME: 44479.6s
STEP [123560], EPOCH [75/100], ITER [276/1666] 
LOSS: 0.00093078, TIME: 44486.9s
STEP [123580], EPOCH [75/100], ITER [296/1666] 
LOSS: 0.00068098, TIME: 44494.2s
STEP [123600], EPOCH [75/100], ITER [316/1666] 
LOSS: 0.00062176, TIME: 44501.5s
STEP [123620], EPOCH [75/100], ITER [336/1666] 
LOSS: 0.00058662, TIME: 44508.8s
STEP [123640], EPOCH [75/100], ITER [356/1666] 
LOSS: 0.00101720, TIME: 44516.1s
STEP [123660], EPOCH [75/100], ITER [376/1666] 
LOSS: 0.00062562, TIME: 44523.4s
STEP [123680], EPOCH [75/100], ITER [396/1666] 
LOSS: 0.00042407, TIME: 44530.7s
STEP [123700], EPOCH [75/100], ITER [416/1666] 
LOSS: 0.00083129, TIME: 44538.0s
STEP [123720], EPOCH [75/100], ITER [436/1666] 
LOSS: 0.00115082, TIME: 44545.3s
STEP [123740], EPOCH [75/100], ITER [456/1666] 
LOSS: 0.00056205, TIME: 44552.7s
STEP [123760], EPOCH [75/100], ITER [476/1666] 
LOSS: 0.00071739, TIME: 44560.0s
STEP [123780], EPOCH [75/100], ITER [496/1666] 
LOSS: 0.00089881, TIME: 44567.3s
STEP [123800], EPOCH [75/100], ITER [516/1666] 
LOSS: 0.00084776, TIME: 44574.6s
STEP [123820], EPOCH [75/100], ITER [536/1666] 
LOSS: 0.00103887, TIME: 44581.9s
STEP [123840], EPOCH [75/100], ITER [556/1666] 
LOSS: 0.00063752, TIME: 44589.2s
STEP [123860], EPOCH [75/100], ITER [576/1666] 
LOSS: 0.00071633, TIME: 44596.6s
STEP [123880], EPOCH [75/100], ITER [596/1666] 
LOSS: 0.00068176, TIME: 44603.9s
STEP [123900], EPOCH [75/100], ITER [616/1666] 
LOSS: 0.00094183, TIME: 44611.2s
STEP [123920], EPOCH [75/100], ITER [636/1666] 
LOSS: 0.00060879, TIME: 44618.5s
STEP [123940], EPOCH [75/100], ITER [656/1666] 
LOSS: 0.00056626, TIME: 44625.8s
STEP [123960], EPOCH [75/100], ITER [676/1666] 
LOSS: 0.00106960, TIME: 44633.2s
STEP [123980], EPOCH [75/100], ITER [696/1666] 
LOSS: 0.00077054, TIME: 44640.5s
STEP [124000], EPOCH [75/100], ITER [716/1666] 
LOSS: 0.00073423, TIME: 44647.8s
STEP [124020], EPOCH [75/100], ITER [736/1666] 
LOSS: 0.00113685, TIME: 44655.2s
STEP [124040], EPOCH [75/100], ITER [756/1666] 
LOSS: 0.00060065, TIME: 44662.5s
STEP [124060], EPOCH [75/100], ITER [776/1666] 
LOSS: 0.00081254, TIME: 44669.8s
STEP [124080], EPOCH [75/100], ITER [796/1666] 
LOSS: 0.00073830, TIME: 44677.0s
STEP [124100], EPOCH [75/100], ITER [816/1666] 
LOSS: 0.00100655, TIME: 44684.4s
STEP [124120], EPOCH [75/100], ITER [836/1666] 
LOSS: 0.00065713, TIME: 44691.7s
STEP [124140], EPOCH [75/100], ITER [856/1666] 
LOSS: 0.00068923, TIME: 44699.0s
STEP [124160], EPOCH [75/100], ITER [876/1666] 
LOSS: 0.00055454, TIME: 44706.3s
STEP [124180], EPOCH [75/100], ITER [896/1666] 
LOSS: 0.00068939, TIME: 44713.6s
STEP [124200], EPOCH [75/100], ITER [916/1666] 
LOSS: 0.00101719, TIME: 44721.0s
STEP [124220], EPOCH [75/100], ITER [936/1666] 
LOSS: 0.00072065, TIME: 44728.3s
STEP [124240], EPOCH [75/100], ITER [956/1666] 
LOSS: 0.00081157, TIME: 44735.6s
STEP [124260], EPOCH [75/100], ITER [976/1666] 
LOSS: 0.00056997, TIME: 44742.9s
STEP [124280], EPOCH [75/100], ITER [996/1666] 
LOSS: 0.00092705, TIME: 44750.2s
STEP [124300], EPOCH [75/100], ITER [1016/1666] 
LOSS: 0.00119952, TIME: 44757.5s
STEP [124320], EPOCH [75/100], ITER [1036/1666] 
LOSS: 0.00122905, TIME: 44764.8s
STEP [124340], EPOCH [75/100], ITER [1056/1666] 
LOSS: 0.00056360, TIME: 44772.1s
STEP [124360], EPOCH [75/100], ITER [1076/1666] 
LOSS: 0.00144485, TIME: 44779.4s
STEP [124380], EPOCH [75/100], ITER [1096/1666] 
LOSS: 0.00092454, TIME: 44786.8s
STEP [124400], EPOCH [75/100], ITER [1116/1666] 
LOSS: 0.00060852, TIME: 44794.1s
STEP [124420], EPOCH [75/100], ITER [1136/1666] 
LOSS: 0.00103394, TIME: 44801.4s
STEP [124440], EPOCH [75/100], ITER [1156/1666] 
LOSS: 0.00094559, TIME: 44808.7s
STEP [124460], EPOCH [75/100], ITER [1176/1666] 
LOSS: 0.00082211, TIME: 44816.1s
STEP [124480], EPOCH [75/100], ITER [1196/1666] 
LOSS: 0.00125742, TIME: 44823.4s
STEP [124500], EPOCH [75/100], ITER [1216/1666] 
LOSS: 0.00061957, TIME: 44830.6s
STEP [124520], EPOCH [75/100], ITER [1236/1666] 
LOSS: 0.00061815, TIME: 44837.9s
STEP [124540], EPOCH [75/100], ITER [1256/1666] 
LOSS: 0.00082196, TIME: 44845.3s
STEP [124560], EPOCH [75/100], ITER [1276/1666] 
LOSS: 0.00065379, TIME: 44852.6s
STEP [124580], EPOCH [75/100], ITER [1296/1666] 
LOSS: 0.00060089, TIME: 44859.9s
STEP [124600], EPOCH [75/100], ITER [1316/1666] 
LOSS: 0.00066614, TIME: 44867.2s
STEP [124620], EPOCH [75/100], ITER [1336/1666] 
LOSS: 0.00084893, TIME: 44874.5s
STEP [124640], EPOCH [75/100], ITER [1356/1666] 
LOSS: 0.00110449, TIME: 44881.8s
STEP [124660], EPOCH [75/100], ITER [1376/1666] 
LOSS: 0.00089688, TIME: 44889.2s
STEP [124680], EPOCH [75/100], ITER [1396/1666] 
LOSS: 0.00158029, TIME: 44896.5s
STEP [124700], EPOCH [75/100], ITER [1416/1666] 
LOSS: 0.00084552, TIME: 44903.8s
STEP [124720], EPOCH [75/100], ITER [1436/1666] 
LOSS: 0.00098140, TIME: 44911.1s
STEP [124740], EPOCH [75/100], ITER [1456/1666] 
LOSS: 0.00165591, TIME: 44918.4s
STEP [124760], EPOCH [75/100], ITER [1476/1666] 
LOSS: 0.00085203, TIME: 44925.7s
STEP [124780], EPOCH [75/100], ITER [1496/1666] 
LOSS: 0.00071818, TIME: 44933.0s
STEP [124800], EPOCH [75/100], ITER [1516/1666] 
LOSS: 0.00064052, TIME: 44940.3s
STEP [124820], EPOCH [75/100], ITER [1536/1666] 
LOSS: 0.00072730, TIME: 44947.7s
STEP [124840], EPOCH [75/100], ITER [1556/1666] 
LOSS: 0.00092870, TIME: 44955.0s
STEP [124860], EPOCH [75/100], ITER [1576/1666] 
LOSS: 0.00079864, TIME: 44962.3s
STEP [124880], EPOCH [75/100], ITER [1596/1666] 
LOSS: 0.00073386, TIME: 44969.6s
STEP [124900], EPOCH [75/100], ITER [1616/1666] 
LOSS: 0.00066899, TIME: 44976.9s
STEP [124920], EPOCH [75/100], ITER [1636/1666] 
LOSS: 0.00062424, TIME: 44984.2s
STEP [124940], EPOCH [75/100], ITER [1656/1666] 
LOSS: 0.00061723, TIME: 44991.5s
STEP [124960], EPOCH [76/100], ITER [10/1666] 
LOSS: 0.00126733, TIME: 45007.4s
STEP [124980], EPOCH [76/100], ITER [30/1666] 
LOSS: 0.00060380, TIME: 45014.7s
STEP [125000], EPOCH [76/100], ITER [50/1666] 
LOSS: 0.00096272, TIME: 45022.0s
STEP [125020], EPOCH [76/100], ITER [70/1666] 
LOSS: 0.00080581, TIME: 45029.3s
STEP [125040], EPOCH [76/100], ITER [90/1666] 
LOSS: 0.00082325, TIME: 45036.7s
STEP [125060], EPOCH [76/100], ITER [110/1666] 
LOSS: 0.00047192, TIME: 45044.0s
STEP [125080], EPOCH [76/100], ITER [130/1666] 
LOSS: 0.00080659, TIME: 45051.3s
STEP [125100], EPOCH [76/100], ITER [150/1666] 
LOSS: 0.00085583, TIME: 45058.6s
STEP [125120], EPOCH [76/100], ITER [170/1666] 
LOSS: 0.00104317, TIME: 45065.9s
STEP [125140], EPOCH [76/100], ITER [190/1666] 
LOSS: 0.00069218, TIME: 45073.2s
STEP [125160], EPOCH [76/100], ITER [210/1666] 
LOSS: 0.00089022, TIME: 45080.5s
STEP [125180], EPOCH [76/100], ITER [230/1666] 
LOSS: 0.00084273, TIME: 45087.9s
STEP [125200], EPOCH [76/100], ITER [250/1666] 
LOSS: 0.00111427, TIME: 45095.2s
STEP [125220], EPOCH [76/100], ITER [270/1666] 
LOSS: 0.00091486, TIME: 45102.5s
STEP [125240], EPOCH [76/100], ITER [290/1666] 
LOSS: 0.00082292, TIME: 45109.8s
STEP [125260], EPOCH [76/100], ITER [310/1666] 
LOSS: 0.00095036, TIME: 45117.1s
STEP [125280], EPOCH [76/100], ITER [330/1666] 
LOSS: 0.00066879, TIME: 45124.4s
STEP [125300], EPOCH [76/100], ITER [350/1666] 
LOSS: 0.00064340, TIME: 45131.7s
STEP [125320], EPOCH [76/100], ITER [370/1666] 
LOSS: 0.00104604, TIME: 45139.0s
STEP [125340], EPOCH [76/100], ITER [390/1666] 
LOSS: 0.00107114, TIME: 45146.3s
STEP [125360], EPOCH [76/100], ITER [410/1666] 
LOSS: 0.00061734, TIME: 45153.6s
STEP [125380], EPOCH [76/100], ITER [430/1666] 
LOSS: 0.00065485, TIME: 45161.0s
STEP [125400], EPOCH [76/100], ITER [450/1666] 
LOSS: 0.00071386, TIME: 45168.3s
STEP [125420], EPOCH [76/100], ITER [470/1666] 
LOSS: 0.00086837, TIME: 45175.6s
STEP [125440], EPOCH [76/100], ITER [490/1666] 
LOSS: 0.00058537, TIME: 45182.9s
STEP [125460], EPOCH [76/100], ITER [510/1666] 
LOSS: 0.00073701, TIME: 45190.2s
STEP [125480], EPOCH [76/100], ITER [530/1666] 
LOSS: 0.00080178, TIME: 45197.5s
STEP [125500], EPOCH [76/100], ITER [550/1666] 
LOSS: 0.00095240, TIME: 45204.9s
STEP [125520], EPOCH [76/100], ITER [570/1666] 
LOSS: 0.00099257, TIME: 45212.2s
STEP [125540], EPOCH [76/100], ITER [590/1666] 
LOSS: 0.00077131, TIME: 45219.4s
STEP [125560], EPOCH [76/100], ITER [610/1666] 
LOSS: 0.00157361, TIME: 45226.8s
STEP [125580], EPOCH [76/100], ITER [630/1666] 
LOSS: 0.00080697, TIME: 45234.1s
STEP [125600], EPOCH [76/100], ITER [650/1666] 
LOSS: 0.00070136, TIME: 45241.4s
STEP [125620], EPOCH [76/100], ITER [670/1666] 
LOSS: 0.00064545, TIME: 45248.7s
STEP [125640], EPOCH [76/100], ITER [690/1666] 
LOSS: 0.00063741, TIME: 45256.0s
STEP [125660], EPOCH [76/100], ITER [710/1666] 
LOSS: 0.00097911, TIME: 45263.3s
STEP [125680], EPOCH [76/100], ITER [730/1666] 
LOSS: 0.00124124, TIME: 45270.6s
STEP [125700], EPOCH [76/100], ITER [750/1666] 
LOSS: 0.00098479, TIME: 45277.9s
STEP [125720], EPOCH [76/100], ITER [770/1666] 
LOSS: 0.00027988, TIME: 45285.3s
STEP [125740], EPOCH [76/100], ITER [790/1666] 
LOSS: 0.00154809, TIME: 45292.5s
STEP [125760], EPOCH [76/100], ITER [810/1666] 
LOSS: 0.00061796, TIME: 45299.8s
STEP [125780], EPOCH [76/100], ITER [830/1666] 
LOSS: 0.00046265, TIME: 45307.2s
STEP [125800], EPOCH [76/100], ITER [850/1666] 
LOSS: 0.00053287, TIME: 45314.5s
STEP [125820], EPOCH [76/100], ITER [870/1666] 
LOSS: 0.00063283, TIME: 45321.8s
STEP [125840], EPOCH [76/100], ITER [890/1666] 
LOSS: 0.00062119, TIME: 45329.1s
STEP [125860], EPOCH [76/100], ITER [910/1666] 
LOSS: 0.00087073, TIME: 45336.4s
STEP [125880], EPOCH [76/100], ITER [930/1666] 
LOSS: 0.00081913, TIME: 45343.7s
STEP [125900], EPOCH [76/100], ITER [950/1666] 
LOSS: 0.00062174, TIME: 45351.1s
STEP [125920], EPOCH [76/100], ITER [970/1666] 
LOSS: 0.00080283, TIME: 45358.4s
STEP [125940], EPOCH [76/100], ITER [990/1666] 
LOSS: 0.00065299, TIME: 45365.7s
STEP [125960], EPOCH [76/100], ITER [1010/1666] 
LOSS: 0.00068614, TIME: 45373.0s
STEP [125980], EPOCH [76/100], ITER [1030/1666] 
LOSS: 0.00049496, TIME: 45380.3s
STEP [126000], EPOCH [76/100], ITER [1050/1666] 
LOSS: 0.00086715, TIME: 45387.6s
STEP [126020], EPOCH [76/100], ITER [1070/1666] 
LOSS: 0.00035086, TIME: 45394.9s
STEP [126040], EPOCH [76/100], ITER [1090/1666] 
LOSS: 0.00099575, TIME: 45402.2s
STEP [126060], EPOCH [76/100], ITER [1110/1666] 
LOSS: 0.00056828, TIME: 45409.5s
STEP [126080], EPOCH [76/100], ITER [1130/1666] 
LOSS: 0.00111758, TIME: 45416.9s
STEP [126100], EPOCH [76/100], ITER [1150/1666] 
LOSS: 0.00075187, TIME: 45424.2s
STEP [126120], EPOCH [76/100], ITER [1170/1666] 
LOSS: 0.00057004, TIME: 45431.5s
STEP [126140], EPOCH [76/100], ITER [1190/1666] 
LOSS: 0.00095503, TIME: 45438.8s
STEP [126160], EPOCH [76/100], ITER [1210/1666] 
LOSS: 0.00076829, TIME: 45446.1s
STEP [126180], EPOCH [76/100], ITER [1230/1666] 
LOSS: 0.00049865, TIME: 45453.4s
STEP [126200], EPOCH [76/100], ITER [1250/1666] 
LOSS: 0.00121949, TIME: 45460.7s
STEP [126220], EPOCH [76/100], ITER [1270/1666] 
LOSS: 0.00086788, TIME: 45468.1s
STEP [126240], EPOCH [76/100], ITER [1290/1666] 
LOSS: 0.00099579, TIME: 45475.4s
STEP [126260], EPOCH [76/100], ITER [1310/1666] 
LOSS: 0.00052247, TIME: 45482.7s
STEP [126280], EPOCH [76/100], ITER [1330/1666] 
LOSS: 0.00077461, TIME: 45490.0s
STEP [126300], EPOCH [76/100], ITER [1350/1666] 
LOSS: 0.00066157, TIME: 45497.4s
STEP [126320], EPOCH [76/100], ITER [1370/1666] 
LOSS: 0.00074448, TIME: 45504.7s
STEP [126340], EPOCH [76/100], ITER [1390/1666] 
LOSS: 0.00070310, TIME: 45512.0s
STEP [126360], EPOCH [76/100], ITER [1410/1666] 
LOSS: 0.00081609, TIME: 45519.3s
STEP [126380], EPOCH [76/100], ITER [1430/1666] 
LOSS: 0.00060465, TIME: 45526.7s
STEP [126400], EPOCH [76/100], ITER [1450/1666] 
LOSS: 0.00087062, TIME: 45533.9s
STEP [126420], EPOCH [76/100], ITER [1470/1666] 
LOSS: 0.00068378, TIME: 45541.2s
STEP [126440], EPOCH [76/100], ITER [1490/1666] 
LOSS: 0.00075755, TIME: 45548.5s
STEP [126460], EPOCH [76/100], ITER [1510/1666] 
LOSS: 0.00099820, TIME: 45555.9s
STEP [126480], EPOCH [76/100], ITER [1530/1666] 
LOSS: 0.00044889, TIME: 45563.2s
STEP [126500], EPOCH [76/100], ITER [1550/1666] 
LOSS: 0.00088924, TIME: 45570.5s
STEP [126520], EPOCH [76/100], ITER [1570/1666] 
LOSS: 0.00077459, TIME: 45577.8s
STEP [126540], EPOCH [76/100], ITER [1590/1666] 
LOSS: 0.00062670, TIME: 45585.1s
STEP [126560], EPOCH [76/100], ITER [1610/1666] 
LOSS: 0.00051497, TIME: 45592.4s
STEP [126580], EPOCH [76/100], ITER [1630/1666] 
LOSS: 0.00079188, TIME: 45599.8s
STEP [126600], EPOCH [76/100], ITER [1650/1666] 
LOSS: 0.00087190, TIME: 45607.1s
STEP [126620], EPOCH [77/100], ITER [4/1666] 
LOSS: 0.00094021, TIME: 45623.0s
STEP [126640], EPOCH [77/100], ITER [24/1666] 
LOSS: 0.00059037, TIME: 45630.3s
STEP [126660], EPOCH [77/100], ITER [44/1666] 
LOSS: 0.00107752, TIME: 45637.6s
STEP [126680], EPOCH [77/100], ITER [64/1666] 
LOSS: 0.00074536, TIME: 45645.0s
STEP [126700], EPOCH [77/100], ITER [84/1666] 
LOSS: 0.00104050, TIME: 45652.3s
STEP [126720], EPOCH [77/100], ITER [104/1666] 
LOSS: 0.00076488, TIME: 45659.6s
STEP [126740], EPOCH [77/100], ITER [124/1666] 
LOSS: 0.00094191, TIME: 45666.9s
STEP [126760], EPOCH [77/100], ITER [144/1666] 
LOSS: 0.00135093, TIME: 45674.3s
STEP [126780], EPOCH [77/100], ITER [164/1666] 
LOSS: 0.00069443, TIME: 45681.5s
STEP [126800], EPOCH [77/100], ITER [184/1666] 
LOSS: 0.00066625, TIME: 45688.8s
STEP [126820], EPOCH [77/100], ITER [204/1666] 
LOSS: 0.00081034, TIME: 45696.2s
STEP [126840], EPOCH [77/100], ITER [224/1666] 
LOSS: 0.00106388, TIME: 45703.5s
STEP [126860], EPOCH [77/100], ITER [244/1666] 
LOSS: 0.00164054, TIME: 45710.8s
STEP [126880], EPOCH [77/100], ITER [264/1666] 
LOSS: 0.00160666, TIME: 45718.1s
STEP [126900], EPOCH [77/100], ITER [284/1666] 
LOSS: 0.00097301, TIME: 45725.4s
STEP [126920], EPOCH [77/100], ITER [304/1666] 
LOSS: 0.00085712, TIME: 45732.7s
STEP [126940], EPOCH [77/100], ITER [324/1666] 
LOSS: 0.00086184, TIME: 45740.1s
STEP [126960], EPOCH [77/100], ITER [344/1666] 
LOSS: 0.00073393, TIME: 45747.4s
STEP [126980], EPOCH [77/100], ITER [364/1666] 
LOSS: 0.00049170, TIME: 45754.7s
STEP [127000], EPOCH [77/100], ITER [384/1666] 
LOSS: 0.00055589, TIME: 45762.0s
STEP [127020], EPOCH [77/100], ITER [404/1666] 
LOSS: 0.00081890, TIME: 45769.4s
STEP [127040], EPOCH [77/100], ITER [424/1666] 
LOSS: 0.00103026, TIME: 45776.7s
STEP [127060], EPOCH [77/100], ITER [444/1666] 
LOSS: 0.00045438, TIME: 45784.0s
STEP [127080], EPOCH [77/100], ITER [464/1666] 
LOSS: 0.00051810, TIME: 45791.3s
STEP [127100], EPOCH [77/100], ITER [484/1666] 
LOSS: 0.00074563, TIME: 45798.6s
STEP [127120], EPOCH [77/100], ITER [504/1666] 
LOSS: 0.00058899, TIME: 45806.0s
STEP [127140], EPOCH [77/100], ITER [524/1666] 
LOSS: 0.00123544, TIME: 45813.3s
STEP [127160], EPOCH [77/100], ITER [544/1666] 
LOSS: 0.00085352, TIME: 45820.6s
STEP [127180], EPOCH [77/100], ITER [564/1666] 
LOSS: 0.00107737, TIME: 45827.9s
STEP [127200], EPOCH [77/100], ITER [584/1666] 
LOSS: 0.00048450, TIME: 45835.2s
STEP [127220], EPOCH [77/100], ITER [604/1666] 
LOSS: 0.00069150, TIME: 45842.5s
STEP [127240], EPOCH [77/100], ITER [624/1666] 
LOSS: 0.00056510, TIME: 45849.8s
STEP [127260], EPOCH [77/100], ITER [644/1666] 
LOSS: 0.00071190, TIME: 45857.1s
STEP [127280], EPOCH [77/100], ITER [664/1666] 
LOSS: 0.00075885, TIME: 45864.4s
STEP [127300], EPOCH [77/100], ITER [684/1666] 
LOSS: 0.00088464, TIME: 45871.8s
STEP [127320], EPOCH [77/100], ITER [704/1666] 
LOSS: 0.00110888, TIME: 45879.1s
STEP [127340], EPOCH [77/100], ITER [724/1666] 
LOSS: 0.00083994, TIME: 45886.4s
STEP [127360], EPOCH [77/100], ITER [744/1666] 
LOSS: 0.00077152, TIME: 45893.7s
STEP [127380], EPOCH [77/100], ITER [764/1666] 
LOSS: 0.00078665, TIME: 45901.0s
STEP [127400], EPOCH [77/100], ITER [784/1666] 
LOSS: 0.00056469, TIME: 45908.3s
STEP [127420], EPOCH [77/100], ITER [804/1666] 
LOSS: 0.00048911, TIME: 45915.6s
STEP [127440], EPOCH [77/100], ITER [824/1666] 
LOSS: 0.00101649, TIME: 45922.9s
STEP [127460], EPOCH [77/100], ITER [844/1666] 
LOSS: 0.00058877, TIME: 45930.2s
STEP [127480], EPOCH [77/100], ITER [864/1666] 
LOSS: 0.00061767, TIME: 45937.5s
STEP [127500], EPOCH [77/100], ITER [884/1666] 
LOSS: 0.00068948, TIME: 45944.8s
STEP [127520], EPOCH [77/100], ITER [904/1666] 
LOSS: 0.00062779, TIME: 45952.1s
STEP [127540], EPOCH [77/100], ITER [924/1666] 
LOSS: 0.00088325, TIME: 45959.5s
STEP [127560], EPOCH [77/100], ITER [944/1666] 
LOSS: 0.00065057, TIME: 45966.8s
STEP [127580], EPOCH [77/100], ITER [964/1666] 
LOSS: 0.00085711, TIME: 45974.1s
STEP [127600], EPOCH [77/100], ITER [984/1666] 
LOSS: 0.00067564, TIME: 45981.4s
STEP [127620], EPOCH [77/100], ITER [1004/1666] 
LOSS: 0.00066648, TIME: 45988.8s
STEP [127640], EPOCH [77/100], ITER [1024/1666] 
LOSS: 0.00045739, TIME: 45993.4s
STEP [127660], EPOCH [77/100], ITER [1044/1666] 
LOSS: 0.00069835, TIME: 45997.0s
STEP [127680], EPOCH [77/100], ITER [1064/1666] 
LOSS: 0.00099449, TIME: 46000.6s
STEP [127700], EPOCH [77/100], ITER [1084/1666] 
LOSS: 0.00095252, TIME: 46004.1s
STEP [127720], EPOCH [77/100], ITER [1104/1666] 
LOSS: 0.00087691, TIME: 46007.7s
STEP [127740], EPOCH [77/100], ITER [1124/1666] 
LOSS: 0.00118806, TIME: 46011.3s
STEP [127760], EPOCH [77/100], ITER [1144/1666] 
LOSS: 0.00067961, TIME: 46014.9s
STEP [127780], EPOCH [77/100], ITER [1164/1666] 
LOSS: 0.00067623, TIME: 46018.4s
STEP [127800], EPOCH [77/100], ITER [1184/1666] 
LOSS: 0.00083484, TIME: 46022.0s
STEP [127820], EPOCH [77/100], ITER [1204/1666] 
LOSS: 0.00062420, TIME: 46025.6s
STEP [127840], EPOCH [77/100], ITER [1224/1666] 
LOSS: 0.00087504, TIME: 46029.2s
STEP [127860], EPOCH [77/100], ITER [1244/1666] 
LOSS: 0.00086952, TIME: 46032.8s
STEP [127880], EPOCH [77/100], ITER [1264/1666] 
LOSS: 0.00069837, TIME: 46036.4s
STEP [127900], EPOCH [77/100], ITER [1284/1666] 
LOSS: 0.00122268, TIME: 46039.9s
STEP [127920], EPOCH [77/100], ITER [1304/1666] 
LOSS: 0.00084382, TIME: 46043.5s
STEP [127940], EPOCH [77/100], ITER [1324/1666] 
LOSS: 0.00072684, TIME: 46047.1s
STEP [127960], EPOCH [77/100], ITER [1344/1666] 
LOSS: 0.00078637, TIME: 46050.7s
STEP [127980], EPOCH [77/100], ITER [1364/1666] 
LOSS: 0.00059969, TIME: 46054.2s
STEP [128000], EPOCH [77/100], ITER [1384/1666] 
LOSS: 0.00068863, TIME: 46057.8s
STEP [128020], EPOCH [77/100], ITER [1404/1666] 
LOSS: 0.00056162, TIME: 46061.4s
STEP [128040], EPOCH [77/100], ITER [1424/1666] 
LOSS: 0.00126694, TIME: 46065.0s
STEP [128060], EPOCH [77/100], ITER [1444/1666] 
LOSS: 0.00130466, TIME: 46068.6s
STEP [128080], EPOCH [77/100], ITER [1464/1666] 
LOSS: 0.00069698, TIME: 46072.2s
STEP [128100], EPOCH [77/100], ITER [1484/1666] 
LOSS: 0.00055058, TIME: 46075.8s
STEP [128120], EPOCH [77/100], ITER [1504/1666] 
LOSS: 0.00064562, TIME: 46079.4s
STEP [128140], EPOCH [77/100], ITER [1524/1666] 
LOSS: 0.00095188, TIME: 46082.9s
STEP [128160], EPOCH [77/100], ITER [1544/1666] 
LOSS: 0.00112236, TIME: 46086.5s
STEP [128180], EPOCH [77/100], ITER [1564/1666] 
LOSS: 0.00074850, TIME: 46090.1s
STEP [128200], EPOCH [77/100], ITER [1584/1666] 
LOSS: 0.00062781, TIME: 46093.7s
STEP [128220], EPOCH [77/100], ITER [1604/1666] 
LOSS: 0.00069366, TIME: 46097.2s
STEP [128240], EPOCH [77/100], ITER [1624/1666] 
LOSS: 0.00083694, TIME: 46100.8s
STEP [128260], EPOCH [77/100], ITER [1644/1666] 
LOSS: 0.00075070, TIME: 46104.4s
STEP [128280], EPOCH [77/100], ITER [1664/1666] 
LOSS: 0.00055173, TIME: 46108.0s
STEP [128300], EPOCH [78/100], ITER [18/1666] 
LOSS: 0.00059948, TIME: 46120.5s
STEP [128320], EPOCH [78/100], ITER [38/1666] 
LOSS: 0.00084684, TIME: 46124.1s
STEP [128340], EPOCH [78/100], ITER [58/1666] 
LOSS: 0.00049626, TIME: 46127.7s
STEP [128360], EPOCH [78/100], ITER [78/1666] 
LOSS: 0.00059841, TIME: 46131.2s
STEP [128380], EPOCH [78/100], ITER [98/1666] 
LOSS: 0.00106961, TIME: 46134.8s
STEP [128400], EPOCH [78/100], ITER [118/1666] 
LOSS: 0.00065543, TIME: 46138.4s
STEP [128420], EPOCH [78/100], ITER [138/1666] 
LOSS: 0.00046775, TIME: 46141.9s
STEP [128440], EPOCH [78/100], ITER [158/1666] 
LOSS: 0.00087320, TIME: 46145.5s
STEP [128460], EPOCH [78/100], ITER [178/1666] 
LOSS: 0.00074769, TIME: 46149.0s
STEP [128480], EPOCH [78/100], ITER [198/1666] 
LOSS: 0.00084091, TIME: 46152.6s
STEP [128500], EPOCH [78/100], ITER [218/1666] 
LOSS: 0.00058185, TIME: 46156.2s
STEP [128520], EPOCH [78/100], ITER [238/1666] 
LOSS: 0.00089031, TIME: 46159.7s
STEP [128540], EPOCH [78/100], ITER [258/1666] 
LOSS: 0.00069843, TIME: 46163.3s
STEP [128560], EPOCH [78/100], ITER [278/1666] 
LOSS: 0.00091705, TIME: 46166.9s
STEP [128580], EPOCH [78/100], ITER [298/1666] 
LOSS: 0.00121265, TIME: 46170.5s
STEP [128600], EPOCH [78/100], ITER [318/1666] 
LOSS: 0.00079353, TIME: 46174.1s
STEP [128620], EPOCH [78/100], ITER [338/1666] 
LOSS: 0.00088856, TIME: 46177.7s
STEP [128640], EPOCH [78/100], ITER [358/1666] 
LOSS: 0.00108177, TIME: 46181.2s
STEP [128660], EPOCH [78/100], ITER [378/1666] 
LOSS: 0.00077291, TIME: 46184.8s
STEP [128680], EPOCH [78/100], ITER [398/1666] 
LOSS: 0.00081562, TIME: 46188.4s
STEP [128700], EPOCH [78/100], ITER [418/1666] 
LOSS: 0.00058362, TIME: 46191.9s
STEP [128720], EPOCH [78/100], ITER [438/1666] 
LOSS: 0.00084013, TIME: 46195.5s
STEP [128740], EPOCH [78/100], ITER [458/1666] 
LOSS: 0.00099604, TIME: 46199.1s
STEP [128760], EPOCH [78/100], ITER [478/1666] 
LOSS: 0.00130664, TIME: 46202.7s
STEP [128780], EPOCH [78/100], ITER [498/1666] 
LOSS: 0.00060094, TIME: 46206.2s
STEP [128800], EPOCH [78/100], ITER [518/1666] 
LOSS: 0.00089828, TIME: 46209.8s
STEP [128820], EPOCH [78/100], ITER [538/1666] 
LOSS: 0.00107640, TIME: 46213.4s
STEP [128840], EPOCH [78/100], ITER [558/1666] 
LOSS: 0.00055208, TIME: 46217.0s
STEP [128860], EPOCH [78/100], ITER [578/1666] 
LOSS: 0.00120394, TIME: 46220.6s
STEP [128880], EPOCH [78/100], ITER [598/1666] 
LOSS: 0.00065225, TIME: 46224.1s
STEP [128900], EPOCH [78/100], ITER [618/1666] 
LOSS: 0.00073994, TIME: 46227.7s
STEP [128920], EPOCH [78/100], ITER [638/1666] 
LOSS: 0.00089490, TIME: 46231.3s
STEP [128940], EPOCH [78/100], ITER [658/1666] 
LOSS: 0.00139508, TIME: 46234.9s
STEP [128960], EPOCH [78/100], ITER [678/1666] 
LOSS: 0.00081834, TIME: 46238.4s
STEP [128980], EPOCH [78/100], ITER [698/1666] 
LOSS: 0.00079194, TIME: 46242.0s
STEP [129000], EPOCH [78/100], ITER [718/1666] 
LOSS: 0.00068613, TIME: 46245.6s
STEP [129020], EPOCH [78/100], ITER [738/1666] 
LOSS: 0.00095805, TIME: 46249.2s
STEP [129040], EPOCH [78/100], ITER [758/1666] 
LOSS: 0.00051518, TIME: 46252.8s
STEP [129060], EPOCH [78/100], ITER [778/1666] 
LOSS: 0.00047273, TIME: 46256.4s
STEP [129080], EPOCH [78/100], ITER [798/1666] 
LOSS: 0.00112881, TIME: 46259.9s
STEP [129100], EPOCH [78/100], ITER [818/1666] 
LOSS: 0.00126100, TIME: 46263.5s
STEP [129120], EPOCH [78/100], ITER [838/1666] 
LOSS: 0.00093223, TIME: 46267.1s
STEP [129140], EPOCH [78/100], ITER [858/1666] 
LOSS: 0.00059883, TIME: 46270.7s
STEP [129160], EPOCH [78/100], ITER [878/1666] 
LOSS: 0.00106974, TIME: 46274.3s
STEP [129180], EPOCH [78/100], ITER [898/1666] 
LOSS: 0.00058021, TIME: 46277.9s
STEP [129200], EPOCH [78/100], ITER [918/1666] 
LOSS: 0.00075463, TIME: 46281.5s
STEP [129220], EPOCH [78/100], ITER [938/1666] 
LOSS: 0.00096566, TIME: 46285.1s
STEP [129240], EPOCH [78/100], ITER [958/1666] 
LOSS: 0.00081726, TIME: 46288.6s
STEP [129260], EPOCH [78/100], ITER [978/1666] 
LOSS: 0.00071700, TIME: 46292.2s
STEP [129280], EPOCH [78/100], ITER [998/1666] 
LOSS: 0.00067982, TIME: 46295.8s
STEP [129300], EPOCH [78/100], ITER [1018/1666] 
LOSS: 0.00077197, TIME: 46299.4s
STEP [129320], EPOCH [78/100], ITER [1038/1666] 
LOSS: 0.00071076, TIME: 46302.9s
STEP [129340], EPOCH [78/100], ITER [1058/1666] 
LOSS: 0.00062633, TIME: 46306.5s
STEP [129360], EPOCH [78/100], ITER [1078/1666] 
LOSS: 0.00089971, TIME: 46310.1s
STEP [129380], EPOCH [78/100], ITER [1098/1666] 
LOSS: 0.00046891, TIME: 46313.7s
STEP [129400], EPOCH [78/100], ITER [1118/1666] 
LOSS: 0.00076445, TIME: 46317.2s
STEP [129420], EPOCH [78/100], ITER [1138/1666] 
LOSS: 0.00115542, TIME: 46320.8s
STEP [129440], EPOCH [78/100], ITER [1158/1666] 
LOSS: 0.00071883, TIME: 46324.4s
STEP [129460], EPOCH [78/100], ITER [1178/1666] 
LOSS: 0.00081439, TIME: 46328.0s
STEP [129480], EPOCH [78/100], ITER [1198/1666] 
LOSS: 0.00093282, TIME: 46331.5s
STEP [129500], EPOCH [78/100], ITER [1218/1666] 
LOSS: 0.00074684, TIME: 46335.1s
STEP [129520], EPOCH [78/100], ITER [1238/1666] 
LOSS: 0.00087552, TIME: 46338.7s
STEP [129540], EPOCH [78/100], ITER [1258/1666] 
LOSS: 0.00090594, TIME: 46342.3s
STEP [129560], EPOCH [78/100], ITER [1278/1666] 
LOSS: 0.00046481, TIME: 46345.9s
STEP [129580], EPOCH [78/100], ITER [1298/1666] 
LOSS: 0.00108142, TIME: 46349.5s
STEP [129600], EPOCH [78/100], ITER [1318/1666] 
LOSS: 0.00068383, TIME: 46353.0s
STEP [129620], EPOCH [78/100], ITER [1338/1666] 
LOSS: 0.00092120, TIME: 46356.6s
STEP [129640], EPOCH [78/100], ITER [1358/1666] 
LOSS: 0.00085672, TIME: 46360.2s
STEP [129660], EPOCH [78/100], ITER [1378/1666] 
LOSS: 0.00075473, TIME: 46363.8s
STEP [129680], EPOCH [78/100], ITER [1398/1666] 
LOSS: 0.00081864, TIME: 46367.3s
STEP [129700], EPOCH [78/100], ITER [1418/1666] 
LOSS: 0.00191824, TIME: 46370.9s
STEP [129720], EPOCH [78/100], ITER [1438/1666] 
LOSS: 0.00046112, TIME: 46374.5s
STEP [129740], EPOCH [78/100], ITER [1458/1666] 
LOSS: 0.00074134, TIME: 46378.1s
STEP [129760], EPOCH [78/100], ITER [1478/1666] 
LOSS: 0.00051394, TIME: 46381.6s
STEP [129780], EPOCH [78/100], ITER [1498/1666] 
LOSS: 0.00058598, TIME: 46385.2s
STEP [129800], EPOCH [78/100], ITER [1518/1666] 
LOSS: 0.00053805, TIME: 46388.8s
STEP [129820], EPOCH [78/100], ITER [1538/1666] 
LOSS: 0.00089508, TIME: 46392.4s
STEP [129840], EPOCH [78/100], ITER [1558/1666] 
LOSS: 0.00112991, TIME: 46396.0s
STEP [129860], EPOCH [78/100], ITER [1578/1666] 
LOSS: 0.00070639, TIME: 46399.5s
STEP [129880], EPOCH [78/100], ITER [1598/1666] 
LOSS: 0.00062026, TIME: 46403.1s
STEP [129900], EPOCH [78/100], ITER [1618/1666] 
LOSS: 0.00066360, TIME: 46406.7s
STEP [129920], EPOCH [78/100], ITER [1638/1666] 
LOSS: 0.00042163, TIME: 46410.3s
STEP [129940], EPOCH [78/100], ITER [1658/1666] 
LOSS: 0.00046830, TIME: 46413.9s
STEP [129960], EPOCH [79/100], ITER [12/1666] 
LOSS: 0.00047420, TIME: 46426.5s
STEP [129980], EPOCH [79/100], ITER [32/1666] 
LOSS: 0.00057204, TIME: 46430.1s
STEP [130000], EPOCH [79/100], ITER [52/1666] 
LOSS: 0.00122139, TIME: 46433.6s
STEP [130020], EPOCH [79/100], ITER [72/1666] 
LOSS: 0.00072854, TIME: 46437.2s
STEP [130040], EPOCH [79/100], ITER [92/1666] 
LOSS: 0.00086109, TIME: 46440.8s
STEP [130060], EPOCH [79/100], ITER [112/1666] 
LOSS: 0.00055231, TIME: 46444.4s
STEP [130080], EPOCH [79/100], ITER [132/1666] 
LOSS: 0.00092470, TIME: 46447.9s
STEP [130100], EPOCH [79/100], ITER [152/1666] 
LOSS: 0.00089549, TIME: 46451.5s
STEP [130120], EPOCH [79/100], ITER [172/1666] 
LOSS: 0.00055195, TIME: 46455.1s
STEP [130140], EPOCH [79/100], ITER [192/1666] 
LOSS: 0.00069018, TIME: 46458.7s
STEP [130160], EPOCH [79/100], ITER [212/1666] 
LOSS: 0.00064742, TIME: 46462.2s
STEP [130180], EPOCH [79/100], ITER [232/1666] 
LOSS: 0.00129136, TIME: 46465.8s
STEP [130200], EPOCH [79/100], ITER [252/1666] 
LOSS: 0.00084111, TIME: 46469.4s
STEP [130220], EPOCH [79/100], ITER [272/1666] 
LOSS: 0.00059252, TIME: 46472.9s
STEP [130240], EPOCH [79/100], ITER [292/1666] 
LOSS: 0.00068617, TIME: 46476.5s
STEP [130260], EPOCH [79/100], ITER [312/1666] 
LOSS: 0.00069995, TIME: 46480.1s
STEP [130280], EPOCH [79/100], ITER [332/1666] 
LOSS: 0.00051317, TIME: 46483.7s
STEP [130300], EPOCH [79/100], ITER [352/1666] 
LOSS: 0.00107501, TIME: 46487.2s
STEP [130320], EPOCH [79/100], ITER [372/1666] 
LOSS: 0.00087755, TIME: 46490.8s
STEP [130340], EPOCH [79/100], ITER [392/1666] 
LOSS: 0.00064713, TIME: 46494.4s
STEP [130360], EPOCH [79/100], ITER [412/1666] 
LOSS: 0.00063894, TIME: 46498.0s
STEP [130380], EPOCH [79/100], ITER [432/1666] 
LOSS: 0.00083074, TIME: 46501.6s
STEP [130400], EPOCH [79/100], ITER [452/1666] 
LOSS: 0.00067429, TIME: 46505.2s
STEP [130420], EPOCH [79/100], ITER [472/1666] 
LOSS: 0.00079245, TIME: 46508.7s
STEP [130440], EPOCH [79/100], ITER [492/1666] 
LOSS: 0.00056249, TIME: 46512.3s
STEP [130460], EPOCH [79/100], ITER [512/1666] 
LOSS: 0.00062752, TIME: 46515.9s
STEP [130480], EPOCH [79/100], ITER [532/1666] 
LOSS: 0.00078355, TIME: 46519.5s
STEP [130500], EPOCH [79/100], ITER [552/1666] 
LOSS: 0.00049491, TIME: 46523.0s
STEP [130520], EPOCH [79/100], ITER [572/1666] 
LOSS: 0.00091960, TIME: 46526.6s
STEP [130540], EPOCH [79/100], ITER [592/1666] 
LOSS: 0.00107793, TIME: 46530.2s
STEP [130560], EPOCH [79/100], ITER [612/1666] 
LOSS: 0.00067020, TIME: 46533.8s
STEP [130580], EPOCH [79/100], ITER [632/1666] 
LOSS: 0.00079067, TIME: 46537.3s
STEP [130600], EPOCH [79/100], ITER [652/1666] 
LOSS: 0.00066671, TIME: 46540.9s
STEP [130620], EPOCH [79/100], ITER [672/1666] 
LOSS: 0.00069996, TIME: 46544.5s
STEP [130640], EPOCH [79/100], ITER [692/1666] 
LOSS: 0.00089799, TIME: 46548.1s
STEP [130660], EPOCH [79/100], ITER [712/1666] 
LOSS: 0.00070149, TIME: 46551.7s
STEP [130680], EPOCH [79/100], ITER [732/1666] 
LOSS: 0.00068993, TIME: 46555.2s
STEP [130700], EPOCH [79/100], ITER [752/1666] 
LOSS: 0.00078061, TIME: 46558.8s
STEP [130720], EPOCH [79/100], ITER [772/1666] 
LOSS: 0.00117940, TIME: 46562.4s
STEP [130740], EPOCH [79/100], ITER [792/1666] 
LOSS: 0.00106873, TIME: 46565.9s
STEP [130760], EPOCH [79/100], ITER [812/1666] 
LOSS: 0.00070997, TIME: 46569.5s
STEP [130780], EPOCH [79/100], ITER [832/1666] 
LOSS: 0.00028656, TIME: 46573.1s
STEP [130800], EPOCH [79/100], ITER [852/1666] 
LOSS: 0.00076451, TIME: 46576.7s
STEP [130820], EPOCH [79/100], ITER [872/1666] 
LOSS: 0.00110845, TIME: 46580.3s
STEP [130840], EPOCH [79/100], ITER [892/1666] 
LOSS: 0.00072580, TIME: 46583.8s
STEP [130860], EPOCH [79/100], ITER [912/1666] 
LOSS: 0.00104319, TIME: 46587.4s
STEP [130880], EPOCH [79/100], ITER [932/1666] 
LOSS: 0.00062017, TIME: 46591.0s
STEP [130900], EPOCH [79/100], ITER [952/1666] 
LOSS: 0.00064174, TIME: 46594.6s
STEP [130920], EPOCH [79/100], ITER [972/1666] 
LOSS: 0.00062584, TIME: 46598.2s
STEP [130940], EPOCH [79/100], ITER [992/1666] 
LOSS: 0.00083887, TIME: 46601.8s
STEP [130960], EPOCH [79/100], ITER [1012/1666] 
LOSS: 0.00140314, TIME: 46605.3s
STEP [130980], EPOCH [79/100], ITER [1032/1666] 
LOSS: 0.00066247, TIME: 46608.9s
STEP [131000], EPOCH [79/100], ITER [1052/1666] 
LOSS: 0.00038127, TIME: 46612.5s
STEP [131020], EPOCH [79/100], ITER [1072/1666] 
LOSS: 0.00107377, TIME: 46616.1s
STEP [131040], EPOCH [79/100], ITER [1092/1666] 
LOSS: 0.00084217, TIME: 46619.7s
STEP [131060], EPOCH [79/100], ITER [1112/1666] 
LOSS: 0.00101962, TIME: 46623.3s
STEP [131080], EPOCH [79/100], ITER [1132/1666] 
LOSS: 0.00101625, TIME: 46626.9s
STEP [131100], EPOCH [79/100], ITER [1152/1666] 
LOSS: 0.00062938, TIME: 46630.4s
STEP [131120], EPOCH [79/100], ITER [1172/1666] 
LOSS: 0.00099723, TIME: 46634.0s
STEP [131140], EPOCH [79/100], ITER [1192/1666] 
LOSS: 0.00105268, TIME: 46637.6s
STEP [131160], EPOCH [79/100], ITER [1212/1666] 
LOSS: 0.00066482, TIME: 46641.2s
STEP [131180], EPOCH [79/100], ITER [1232/1666] 
LOSS: 0.00110912, TIME: 46644.8s
STEP [131200], EPOCH [79/100], ITER [1252/1666] 
LOSS: 0.00101764, TIME: 46648.4s
STEP [131220], EPOCH [79/100], ITER [1272/1666] 
LOSS: 0.00056851, TIME: 46651.9s
STEP [131240], EPOCH [79/100], ITER [1292/1666] 
LOSS: 0.00055086, TIME: 46655.5s
STEP [131260], EPOCH [79/100], ITER [1312/1666] 
LOSS: 0.00090651, TIME: 46659.1s
STEP [131280], EPOCH [79/100], ITER [1332/1666] 
LOSS: 0.00071765, TIME: 46662.7s
STEP [131300], EPOCH [79/100], ITER [1352/1666] 
LOSS: 0.00045461, TIME: 46666.3s
STEP [131320], EPOCH [79/100], ITER [1372/1666] 
LOSS: 0.00085583, TIME: 46669.9s
STEP [131340], EPOCH [79/100], ITER [1392/1666] 
LOSS: 0.00078851, TIME: 46673.5s
STEP [131360], EPOCH [79/100], ITER [1412/1666] 
LOSS: 0.00083670, TIME: 46677.1s
STEP [131380], EPOCH [79/100], ITER [1432/1666] 
LOSS: 0.00073852, TIME: 46680.7s
STEP [131400], EPOCH [79/100], ITER [1452/1666] 
LOSS: 0.00089346, TIME: 46684.2s
STEP [131420], EPOCH [79/100], ITER [1472/1666] 
LOSS: 0.00072197, TIME: 46687.8s
STEP [131440], EPOCH [79/100], ITER [1492/1666] 
LOSS: 0.00072205, TIME: 46691.4s
STEP [131460], EPOCH [79/100], ITER [1512/1666] 
LOSS: 0.00077460, TIME: 46695.0s
STEP [131480], EPOCH [79/100], ITER [1532/1666] 
LOSS: 0.00139919, TIME: 46698.6s
STEP [131500], EPOCH [79/100], ITER [1552/1666] 
LOSS: 0.00052538, TIME: 46702.2s
STEP [131520], EPOCH [79/100], ITER [1572/1666] 
LOSS: 0.00048749, TIME: 46705.7s
STEP [131540], EPOCH [79/100], ITER [1592/1666] 
LOSS: 0.00127926, TIME: 46709.3s
STEP [131560], EPOCH [79/100], ITER [1612/1666] 
LOSS: 0.00085963, TIME: 46712.9s
STEP [131580], EPOCH [79/100], ITER [1632/1666] 
LOSS: 0.00056310, TIME: 46716.5s
STEP [131600], EPOCH [79/100], ITER [1652/1666] 
LOSS: 0.00075572, TIME: 46720.0s
STEP [131620], EPOCH [80/100], ITER [6/1666] 
LOSS: 0.00076496, TIME: 46732.7s
STEP [131640], EPOCH [80/100], ITER [26/1666] 
LOSS: 0.00052482, TIME: 46736.3s
STEP [131660], EPOCH [80/100], ITER [46/1666] 
LOSS: 0.00055289, TIME: 46739.9s
STEP [131680], EPOCH [80/100], ITER [66/1666] 
LOSS: 0.00068070, TIME: 46743.4s
STEP [131700], EPOCH [80/100], ITER [86/1666] 
LOSS: 0.00117922, TIME: 46747.0s
STEP [131720], EPOCH [80/100], ITER [106/1666] 
LOSS: 0.00044895, TIME: 46750.6s
STEP [131740], EPOCH [80/100], ITER [126/1666] 
LOSS: 0.00058664, TIME: 46754.1s
STEP [131760], EPOCH [80/100], ITER [146/1666] 
LOSS: 0.00075244, TIME: 46757.7s
STEP [131780], EPOCH [80/100], ITER [166/1666] 
LOSS: 0.00084403, TIME: 46761.3s
STEP [131800], EPOCH [80/100], ITER [186/1666] 
LOSS: 0.00081703, TIME: 46764.9s
STEP [131820], EPOCH [80/100], ITER [206/1666] 
LOSS: 0.00097992, TIME: 46768.5s
STEP [131840], EPOCH [80/100], ITER [226/1666] 
LOSS: 0.00111420, TIME: 46772.0s
STEP [131860], EPOCH [80/100], ITER [246/1666] 
LOSS: 0.00072681, TIME: 46775.6s
STEP [131880], EPOCH [80/100], ITER [266/1666] 
LOSS: 0.00142950, TIME: 46779.2s
STEP [131900], EPOCH [80/100], ITER [286/1666] 
LOSS: 0.00057814, TIME: 46782.7s
STEP [131920], EPOCH [80/100], ITER [306/1666] 
LOSS: 0.00082499, TIME: 46786.3s
STEP [131940], EPOCH [80/100], ITER [326/1666] 
LOSS: 0.00085204, TIME: 46789.9s
STEP [131960], EPOCH [80/100], ITER [346/1666] 
LOSS: 0.00074426, TIME: 46793.5s
STEP [131980], EPOCH [80/100], ITER [366/1666] 
LOSS: 0.00182452, TIME: 46797.1s
STEP [132000], EPOCH [80/100], ITER [386/1666] 
LOSS: 0.00035311, TIME: 46800.6s
STEP [132020], EPOCH [80/100], ITER [406/1666] 
LOSS: 0.00116166, TIME: 46804.2s
STEP [132040], EPOCH [80/100], ITER [426/1666] 
LOSS: 0.00065984, TIME: 46807.8s
STEP [132060], EPOCH [80/100], ITER [446/1666] 
LOSS: 0.00066251, TIME: 46811.4s
STEP [132080], EPOCH [80/100], ITER [466/1666] 
LOSS: 0.00081485, TIME: 46815.0s
STEP [132100], EPOCH [80/100], ITER [486/1666] 
LOSS: 0.00124175, TIME: 46818.6s
STEP [132120], EPOCH [80/100], ITER [506/1666] 
LOSS: 0.00091971, TIME: 46822.1s
STEP [132140], EPOCH [80/100], ITER [526/1666] 
LOSS: 0.00063972, TIME: 46825.7s
STEP [132160], EPOCH [80/100], ITER [546/1666] 
LOSS: 0.00069551, TIME: 46829.3s
STEP [132180], EPOCH [80/100], ITER [566/1666] 
LOSS: 0.00100538, TIME: 46832.9s
STEP [132200], EPOCH [80/100], ITER [586/1666] 
LOSS: 0.00061512, TIME: 46836.4s
STEP [132220], EPOCH [80/100], ITER [606/1666] 
LOSS: 0.00065425, TIME: 46840.0s
STEP [132240], EPOCH [80/100], ITER [626/1666] 
LOSS: 0.00073907, TIME: 46843.6s
STEP [132260], EPOCH [80/100], ITER [646/1666] 
LOSS: 0.00053259, TIME: 46847.2s
STEP [132280], EPOCH [80/100], ITER [666/1666] 
LOSS: 0.00093654, TIME: 46850.7s
STEP [132300], EPOCH [80/100], ITER [686/1666] 
LOSS: 0.00105302, TIME: 46854.3s
STEP [132320], EPOCH [80/100], ITER [706/1666] 
LOSS: 0.00086391, TIME: 46857.9s
STEP [132340], EPOCH [80/100], ITER [726/1666] 
LOSS: 0.00097716, TIME: 46861.5s
STEP [132360], EPOCH [80/100], ITER [746/1666] 
LOSS: 0.00071080, TIME: 46865.1s
STEP [132380], EPOCH [80/100], ITER [766/1666] 
LOSS: 0.00063551, TIME: 46868.6s
STEP [132400], EPOCH [80/100], ITER [786/1666] 
LOSS: 0.00076049, TIME: 46872.2s
STEP [132420], EPOCH [80/100], ITER [806/1666] 
LOSS: 0.00080771, TIME: 46875.8s
STEP [132440], EPOCH [80/100], ITER [826/1666] 
LOSS: 0.00102319, TIME: 46879.4s
STEP [132460], EPOCH [80/100], ITER [846/1666] 
LOSS: 0.00095017, TIME: 46883.0s
STEP [132480], EPOCH [80/100], ITER [866/1666] 
LOSS: 0.00040866, TIME: 46886.5s
STEP [132500], EPOCH [80/100], ITER [886/1666] 
LOSS: 0.00049120, TIME: 46890.2s
STEP [132520], EPOCH [80/100], ITER [906/1666] 
LOSS: 0.00075404, TIME: 46893.7s
STEP [132540], EPOCH [80/100], ITER [926/1666] 
LOSS: 0.00066566, TIME: 46897.3s
STEP [132560], EPOCH [80/100], ITER [946/1666] 
LOSS: 0.00083063, TIME: 46900.9s
STEP [132580], EPOCH [80/100], ITER [966/1666] 
LOSS: 0.00106811, TIME: 46904.5s
STEP [132600], EPOCH [80/100], ITER [986/1666] 
LOSS: 0.00107609, TIME: 46908.0s
STEP [132620], EPOCH [80/100], ITER [1006/1666] 
LOSS: 0.00103814, TIME: 46911.6s
STEP [132640], EPOCH [80/100], ITER [1026/1666] 
LOSS: 0.00083260, TIME: 46915.3s
STEP [132660], EPOCH [80/100], ITER [1046/1666] 
LOSS: 0.00059633, TIME: 46918.8s
STEP [132680], EPOCH [80/100], ITER [1066/1666] 
LOSS: 0.00045083, TIME: 46922.4s
STEP [132700], EPOCH [80/100], ITER [1086/1666] 
LOSS: 0.00074671, TIME: 46926.0s
STEP [132720], EPOCH [80/100], ITER [1106/1666] 
LOSS: 0.00056438, TIME: 46929.6s
STEP [132740], EPOCH [80/100], ITER [1126/1666] 
LOSS: 0.00073839, TIME: 46933.2s
STEP [132760], EPOCH [80/100], ITER [1146/1666] 
LOSS: 0.00064424, TIME: 46936.7s
STEP [132780], EPOCH [80/100], ITER [1166/1666] 
LOSS: 0.00065534, TIME: 46940.3s
STEP [132800], EPOCH [80/100], ITER [1186/1666] 
LOSS: 0.00077232, TIME: 46943.9s
STEP [132820], EPOCH [80/100], ITER [1206/1666] 
LOSS: 0.00072523, TIME: 46947.5s
STEP [132840], EPOCH [80/100], ITER [1226/1666] 
LOSS: 0.00133736, TIME: 46951.1s
STEP [132860], EPOCH [80/100], ITER [1246/1666] 
LOSS: 0.00084277, TIME: 46954.6s
STEP [132880], EPOCH [80/100], ITER [1266/1666] 
LOSS: 0.00060308, TIME: 46958.2s
STEP [132900], EPOCH [80/100], ITER [1286/1666] 
LOSS: 0.00101800, TIME: 46961.8s
STEP [132920], EPOCH [80/100], ITER [1306/1666] 
LOSS: 0.00148786, TIME: 46965.4s
STEP [132940], EPOCH [80/100], ITER [1326/1666] 
LOSS: 0.00051918, TIME: 46968.9s
STEP [132960], EPOCH [80/100], ITER [1346/1666] 
LOSS: 0.00101702, TIME: 46972.5s
STEP [132980], EPOCH [80/100], ITER [1366/1666] 
LOSS: 0.00056493, TIME: 46976.1s
STEP [133000], EPOCH [80/100], ITER [1386/1666] 
LOSS: 0.00094490, TIME: 46979.7s
STEP [133020], EPOCH [80/100], ITER [1406/1666] 
LOSS: 0.00142141, TIME: 46983.3s
STEP [133040], EPOCH [80/100], ITER [1426/1666] 
LOSS: 0.00063887, TIME: 46986.9s
STEP [133060], EPOCH [80/100], ITER [1446/1666] 
LOSS: 0.00068691, TIME: 46990.5s
STEP [133080], EPOCH [80/100], ITER [1466/1666] 
LOSS: 0.00152080, TIME: 46994.1s
STEP [133100], EPOCH [80/100], ITER [1486/1666] 
LOSS: 0.00048621, TIME: 46997.7s
STEP [133120], EPOCH [80/100], ITER [1506/1666] 
LOSS: 0.00096394, TIME: 47001.2s
STEP [133140], EPOCH [80/100], ITER [1526/1666] 
LOSS: 0.00103164, TIME: 47004.8s
STEP [133160], EPOCH [80/100], ITER [1546/1666] 
LOSS: 0.00092696, TIME: 47008.4s
STEP [133180], EPOCH [80/100], ITER [1566/1666] 
LOSS: 0.00076926, TIME: 47012.0s
STEP [133200], EPOCH [80/100], ITER [1586/1666] 
LOSS: 0.00081045, TIME: 47015.6s
STEP [133220], EPOCH [80/100], ITER [1606/1666] 
LOSS: 0.00059632, TIME: 47019.2s
STEP [133240], EPOCH [80/100], ITER [1626/1666] 
LOSS: 0.00070852, TIME: 47022.7s
STEP [133260], EPOCH [80/100], ITER [1646/1666] 
LOSS: 0.00069443, TIME: 47026.3s
STEP [133280], EPOCH [80/100], ITER [1666/1666] 
LOSS: 0.00108972, TIME: 47029.8s
STEP [133300], EPOCH [81/100], ITER [20/1666] 
LOSS: 0.00093677, TIME: 47042.4s
STEP [133320], EPOCH [81/100], ITER [40/1666] 
LOSS: 0.00071221, TIME: 47045.9s
STEP [133340], EPOCH [81/100], ITER [60/1666] 
LOSS: 0.00080946, TIME: 47049.5s
STEP [133360], EPOCH [81/100], ITER [80/1666] 
LOSS: 0.00078670, TIME: 47053.1s
STEP [133380], EPOCH [81/100], ITER [100/1666] 
LOSS: 0.00097399, TIME: 47056.6s
STEP [133400], EPOCH [81/100], ITER [120/1666] 
LOSS: 0.00069716, TIME: 47060.2s
STEP [133420], EPOCH [81/100], ITER [140/1666] 
LOSS: 0.00074836, TIME: 47063.7s
STEP [133440], EPOCH [81/100], ITER [160/1666] 
LOSS: 0.00070867, TIME: 47067.3s
STEP [133460], EPOCH [81/100], ITER [180/1666] 
LOSS: 0.00070988, TIME: 47070.9s
STEP [133480], EPOCH [81/100], ITER [200/1666] 
LOSS: 0.00087450, TIME: 47074.5s
STEP [133500], EPOCH [81/100], ITER [220/1666] 
LOSS: 0.00061559, TIME: 47078.1s
STEP [133520], EPOCH [81/100], ITER [240/1666] 
LOSS: 0.00063553, TIME: 47081.6s
STEP [133540], EPOCH [81/100], ITER [260/1666] 
LOSS: 0.00071629, TIME: 47085.2s
STEP [133560], EPOCH [81/100], ITER [280/1666] 
LOSS: 0.00061719, TIME: 47088.8s
STEP [133580], EPOCH [81/100], ITER [300/1666] 
LOSS: 0.00068610, TIME: 47092.4s
STEP [133600], EPOCH [81/100], ITER [320/1666] 
LOSS: 0.00085640, TIME: 47096.0s
STEP [133620], EPOCH [81/100], ITER [340/1666] 
LOSS: 0.00053021, TIME: 47099.6s
STEP [133640], EPOCH [81/100], ITER [360/1666] 
LOSS: 0.00079559, TIME: 47103.1s
STEP [133660], EPOCH [81/100], ITER [380/1666] 
LOSS: 0.00156713, TIME: 47106.7s
STEP [133680], EPOCH [81/100], ITER [400/1666] 
LOSS: 0.00101012, TIME: 47110.3s
STEP [133700], EPOCH [81/100], ITER [420/1666] 
LOSS: 0.00123412, TIME: 47113.8s
STEP [133720], EPOCH [81/100], ITER [440/1666] 
LOSS: 0.00072700, TIME: 47117.4s
STEP [133740], EPOCH [81/100], ITER [460/1666] 
LOSS: 0.00069808, TIME: 47121.0s
STEP [133760], EPOCH [81/100], ITER [480/1666] 
LOSS: 0.00063587, TIME: 47124.6s
STEP [133780], EPOCH [81/100], ITER [500/1666] 
LOSS: 0.00081562, TIME: 47128.1s
STEP [133800], EPOCH [81/100], ITER [520/1666] 
LOSS: 0.00077380, TIME: 47131.7s
STEP [133820], EPOCH [81/100], ITER [540/1666] 
LOSS: 0.00055075, TIME: 47135.3s
STEP [133840], EPOCH [81/100], ITER [560/1666] 
LOSS: 0.00056221, TIME: 47138.9s
STEP [133860], EPOCH [81/100], ITER [580/1666] 
LOSS: 0.00106624, TIME: 47142.5s
STEP [133880], EPOCH [81/100], ITER [600/1666] 
LOSS: 0.00072139, TIME: 47146.0s
STEP [133900], EPOCH [81/100], ITER [620/1666] 
LOSS: 0.00049160, TIME: 47149.6s
STEP [133920], EPOCH [81/100], ITER [640/1666] 
LOSS: 0.00103258, TIME: 47153.2s
STEP [133940], EPOCH [81/100], ITER [660/1666] 
LOSS: 0.00041276, TIME: 47156.8s
STEP [133960], EPOCH [81/100], ITER [680/1666] 
LOSS: 0.00079333, TIME: 47160.4s
STEP [133980], EPOCH [81/100], ITER [700/1666] 
LOSS: 0.00060998, TIME: 47163.9s
STEP [134000], EPOCH [81/100], ITER [720/1666] 
LOSS: 0.00081186, TIME: 47167.5s
STEP [134020], EPOCH [81/100], ITER [740/1666] 
LOSS: 0.00080302, TIME: 47171.1s
STEP [134040], EPOCH [81/100], ITER [760/1666] 
LOSS: 0.00123831, TIME: 47174.7s
STEP [134060], EPOCH [81/100], ITER [780/1666] 
LOSS: 0.00076041, TIME: 47178.3s
STEP [134080], EPOCH [81/100], ITER [800/1666] 
LOSS: 0.00045053, TIME: 47181.9s
STEP [134100], EPOCH [81/100], ITER [820/1666] 
LOSS: 0.00063988, TIME: 47185.4s
STEP [134120], EPOCH [81/100], ITER [840/1666] 
LOSS: 0.00096269, TIME: 47189.0s
STEP [134140], EPOCH [81/100], ITER [860/1666] 
LOSS: 0.00071960, TIME: 47192.6s
STEP [134160], EPOCH [81/100], ITER [880/1666] 
LOSS: 0.00164661, TIME: 47196.2s
STEP [134180], EPOCH [81/100], ITER [900/1666] 
LOSS: 0.00076106, TIME: 47199.7s
STEP [134200], EPOCH [81/100], ITER [920/1666] 
LOSS: 0.00096234, TIME: 47203.3s
STEP [134220], EPOCH [81/100], ITER [940/1666] 
LOSS: 0.00077344, TIME: 47206.9s
STEP [134240], EPOCH [81/100], ITER [960/1666] 
LOSS: 0.00132562, TIME: 47210.5s
STEP [134260], EPOCH [81/100], ITER [980/1666] 
LOSS: 0.00081205, TIME: 47214.1s
STEP [134280], EPOCH [81/100], ITER [1000/1666] 
LOSS: 0.00109372, TIME: 47217.6s
STEP [134300], EPOCH [81/100], ITER [1020/1666] 
LOSS: 0.00089856, TIME: 47221.2s
STEP [134320], EPOCH [81/100], ITER [1040/1666] 
LOSS: 0.00071137, TIME: 47224.8s
STEP [134340], EPOCH [81/100], ITER [1060/1666] 
LOSS: 0.00057569, TIME: 47228.4s
STEP [134360], EPOCH [81/100], ITER [1080/1666] 
LOSS: 0.00072472, TIME: 47232.0s
STEP [134380], EPOCH [81/100], ITER [1100/1666] 
LOSS: 0.00081452, TIME: 47235.5s
STEP [134400], EPOCH [81/100], ITER [1120/1666] 
LOSS: 0.00110464, TIME: 47239.1s
STEP [134420], EPOCH [81/100], ITER [1140/1666] 
LOSS: 0.00122586, TIME: 47242.7s
STEP [134440], EPOCH [81/100], ITER [1160/1666] 
LOSS: 0.00082998, TIME: 47246.3s
STEP [134460], EPOCH [81/100], ITER [1180/1666] 
LOSS: 0.00068893, TIME: 47249.8s
STEP [134480], EPOCH [81/100], ITER [1200/1666] 
LOSS: 0.00083822, TIME: 47253.4s
STEP [134500], EPOCH [81/100], ITER [1220/1666] 
LOSS: 0.00062146, TIME: 47257.0s
STEP [134520], EPOCH [81/100], ITER [1240/1666] 
LOSS: 0.00063203, TIME: 47260.6s
STEP [134540], EPOCH [81/100], ITER [1260/1666] 
LOSS: 0.00098159, TIME: 47264.2s
STEP [134560], EPOCH [81/100], ITER [1280/1666] 
LOSS: 0.00124849, TIME: 47267.7s
STEP [134580], EPOCH [81/100], ITER [1300/1666] 
LOSS: 0.00053526, TIME: 47271.3s
STEP [134600], EPOCH [81/100], ITER [1320/1666] 
LOSS: 0.00062694, TIME: 47274.9s
STEP [134620], EPOCH [81/100], ITER [1340/1666] 
LOSS: 0.00073160, TIME: 47278.5s
STEP [134640], EPOCH [81/100], ITER [1360/1666] 
LOSS: 0.00099527, TIME: 47282.0s
STEP [134660], EPOCH [81/100], ITER [1380/1666] 
LOSS: 0.00084295, TIME: 47285.6s
STEP [134680], EPOCH [81/100], ITER [1400/1666] 
LOSS: 0.00078820, TIME: 47289.2s
STEP [134700], EPOCH [81/100], ITER [1420/1666] 
LOSS: 0.00070739, TIME: 47292.8s
STEP [134720], EPOCH [81/100], ITER [1440/1666] 
LOSS: 0.00090734, TIME: 47296.4s
STEP [134740], EPOCH [81/100], ITER [1460/1666] 
LOSS: 0.00085862, TIME: 47300.0s
STEP [134760], EPOCH [81/100], ITER [1480/1666] 
LOSS: 0.00101334, TIME: 47303.6s
STEP [134780], EPOCH [81/100], ITER [1500/1666] 
LOSS: 0.00127401, TIME: 47307.1s
STEP [134800], EPOCH [81/100], ITER [1520/1666] 
LOSS: 0.00085867, TIME: 47310.7s
STEP [134820], EPOCH [81/100], ITER [1540/1666] 
LOSS: 0.00079797, TIME: 47314.3s
STEP [134840], EPOCH [81/100], ITER [1560/1666] 
LOSS: 0.00060684, TIME: 47317.9s
STEP [134860], EPOCH [81/100], ITER [1580/1666] 
LOSS: 0.00074202, TIME: 47321.5s
STEP [134880], EPOCH [81/100], ITER [1600/1666] 
LOSS: 0.00069911, TIME: 47325.1s
STEP [134900], EPOCH [81/100], ITER [1620/1666] 
LOSS: 0.00061117, TIME: 47328.7s
STEP [134920], EPOCH [81/100], ITER [1640/1666] 
LOSS: 0.00068943, TIME: 47332.2s
STEP [134940], EPOCH [81/100], ITER [1660/1666] 
LOSS: 0.00107345, TIME: 47335.8s
STEP [134960], EPOCH [82/100], ITER [14/1666] 
LOSS: 0.00054815, TIME: 47348.4s
STEP [134980], EPOCH [82/100], ITER [34/1666] 
LOSS: 0.00134864, TIME: 47351.9s
STEP [135000], EPOCH [82/100], ITER [54/1666] 
LOSS: 0.00079131, TIME: 47355.5s
STEP [135020], EPOCH [82/100], ITER [74/1666] 
LOSS: 0.00068621, TIME: 47359.1s
STEP [135040], EPOCH [82/100], ITER [94/1666] 
LOSS: 0.00104012, TIME: 47362.6s
STEP [135060], EPOCH [82/100], ITER [114/1666] 
LOSS: 0.00115977, TIME: 47366.2s
STEP [135080], EPOCH [82/100], ITER [134/1666] 
LOSS: 0.00082641, TIME: 47369.8s
STEP [135100], EPOCH [82/100], ITER [154/1666] 
LOSS: 0.00069399, TIME: 47373.4s
STEP [135120], EPOCH [82/100], ITER [174/1666] 
LOSS: 0.00053184, TIME: 47376.9s
STEP [135140], EPOCH [82/100], ITER [194/1666] 
LOSS: 0.00079937, TIME: 47380.5s
STEP [135160], EPOCH [82/100], ITER [214/1666] 
LOSS: 0.00074909, TIME: 47384.1s
STEP [135180], EPOCH [82/100], ITER [234/1666] 
LOSS: 0.00098547, TIME: 47387.7s
STEP [135200], EPOCH [82/100], ITER [254/1666] 
LOSS: 0.00131978, TIME: 47391.3s
STEP [135220], EPOCH [82/100], ITER [274/1666] 
LOSS: 0.00077816, TIME: 47394.9s
STEP [135240], EPOCH [82/100], ITER [294/1666] 
LOSS: 0.00065745, TIME: 47398.4s
STEP [135260], EPOCH [82/100], ITER [314/1666] 
LOSS: 0.00097965, TIME: 47402.0s
STEP [135280], EPOCH [82/100], ITER [334/1666] 
LOSS: 0.00071561, TIME: 47405.6s
STEP [135300], EPOCH [82/100], ITER [354/1666] 
LOSS: 0.00063383, TIME: 47409.1s
STEP [135320], EPOCH [82/100], ITER [374/1666] 
LOSS: 0.00061790, TIME: 47412.7s
STEP [135340], EPOCH [82/100], ITER [394/1666] 
LOSS: 0.00075536, TIME: 47416.3s
STEP [135360], EPOCH [82/100], ITER [414/1666] 
LOSS: 0.00084254, TIME: 47419.9s
STEP [135380], EPOCH [82/100], ITER [434/1666] 
LOSS: 0.00072752, TIME: 47423.4s
STEP [135400], EPOCH [82/100], ITER [454/1666] 
LOSS: 0.00112165, TIME: 47427.0s
STEP [135420], EPOCH [82/100], ITER [474/1666] 
LOSS: 0.00060533, TIME: 47430.6s
STEP [135440], EPOCH [82/100], ITER [494/1666] 
LOSS: 0.00078518, TIME: 47434.2s
STEP [135460], EPOCH [82/100], ITER [514/1666] 
LOSS: 0.00061799, TIME: 47437.8s
STEP [135480], EPOCH [82/100], ITER [534/1666] 
LOSS: 0.00075286, TIME: 47441.3s
STEP [135500], EPOCH [82/100], ITER [554/1666] 
LOSS: 0.00065748, TIME: 47444.9s
STEP [135520], EPOCH [82/100], ITER [574/1666] 
LOSS: 0.00066065, TIME: 47448.5s
STEP [135540], EPOCH [82/100], ITER [594/1666] 
LOSS: 0.00053300, TIME: 47452.1s
STEP [135560], EPOCH [82/100], ITER [614/1666] 
LOSS: 0.00054177, TIME: 47455.7s
STEP [135580], EPOCH [82/100], ITER [634/1666] 
LOSS: 0.00077064, TIME: 47459.2s
STEP [135600], EPOCH [82/100], ITER [654/1666] 
LOSS: 0.00156450, TIME: 47462.8s
STEP [135620], EPOCH [82/100], ITER [674/1666] 
LOSS: 0.00061873, TIME: 47466.4s
STEP [135640], EPOCH [82/100], ITER [694/1666] 
LOSS: 0.00062807, TIME: 47470.0s
STEP [135660], EPOCH [82/100], ITER [714/1666] 
LOSS: 0.00072586, TIME: 47473.6s
STEP [135680], EPOCH [82/100], ITER [734/1666] 
LOSS: 0.00068360, TIME: 47477.1s
STEP [135700], EPOCH [82/100], ITER [754/1666] 
LOSS: 0.00069888, TIME: 47480.7s
STEP [135720], EPOCH [82/100], ITER [774/1666] 
LOSS: 0.00061506, TIME: 47484.3s
STEP [135740], EPOCH [82/100], ITER [794/1666] 
LOSS: 0.00059995, TIME: 47487.9s
STEP [135760], EPOCH [82/100], ITER [814/1666] 
LOSS: 0.00088045, TIME: 47491.5s
STEP [135780], EPOCH [82/100], ITER [834/1666] 
LOSS: 0.00069263, TIME: 47495.1s
STEP [135800], EPOCH [82/100], ITER [854/1666] 
LOSS: 0.00054949, TIME: 47498.6s
STEP [135820], EPOCH [82/100], ITER [874/1666] 
LOSS: 0.00070590, TIME: 47502.2s
STEP [135840], EPOCH [82/100], ITER [894/1666] 
LOSS: 0.00083272, TIME: 47505.8s
STEP [135860], EPOCH [82/100], ITER [914/1666] 
LOSS: 0.00080929, TIME: 47509.4s
STEP [135880], EPOCH [82/100], ITER [934/1666] 
LOSS: 0.00081212, TIME: 47513.0s
STEP [135900], EPOCH [82/100], ITER [954/1666] 
LOSS: 0.00102478, TIME: 47516.6s
STEP [135920], EPOCH [82/100], ITER [974/1666] 
LOSS: 0.00071895, TIME: 47520.1s
STEP [135940], EPOCH [82/100], ITER [994/1666] 
LOSS: 0.00078404, TIME: 47523.7s
STEP [135960], EPOCH [82/100], ITER [1014/1666] 
LOSS: 0.00103152, TIME: 47527.3s
STEP [135980], EPOCH [82/100], ITER [1034/1666] 
LOSS: 0.00079714, TIME: 47530.9s
STEP [136000], EPOCH [82/100], ITER [1054/1666] 
LOSS: 0.00079557, TIME: 47534.5s
STEP [136020], EPOCH [82/100], ITER [1074/1666] 
LOSS: 0.00064422, TIME: 47538.1s
STEP [136040], EPOCH [82/100], ITER [1094/1666] 
LOSS: 0.00145566, TIME: 47541.7s
STEP [136060], EPOCH [82/100], ITER [1114/1666] 
LOSS: 0.00059594, TIME: 47545.2s
STEP [136080], EPOCH [82/100], ITER [1134/1666] 
LOSS: 0.00088240, TIME: 47548.8s
STEP [136100], EPOCH [82/100], ITER [1154/1666] 
LOSS: 0.00079345, TIME: 47552.4s
STEP [136120], EPOCH [82/100], ITER [1174/1666] 
LOSS: 0.00046531, TIME: 47556.0s
STEP [136140], EPOCH [82/100], ITER [1194/1666] 
LOSS: 0.00233751, TIME: 47559.6s
STEP [136160], EPOCH [82/100], ITER [1214/1666] 
LOSS: 0.00100716, TIME: 47563.2s
STEP [136180], EPOCH [82/100], ITER [1234/1666] 
LOSS: 0.00056110, TIME: 47566.8s
STEP [136200], EPOCH [82/100], ITER [1254/1666] 
LOSS: 0.00072519, TIME: 47570.3s
STEP [136220], EPOCH [82/100], ITER [1274/1666] 
LOSS: 0.00062106, TIME: 47573.9s
STEP [136240], EPOCH [82/100], ITER [1294/1666] 
LOSS: 0.00071729, TIME: 47577.5s
STEP [136260], EPOCH [82/100], ITER [1314/1666] 
LOSS: 0.00095198, TIME: 47581.1s
STEP [136280], EPOCH [82/100], ITER [1334/1666] 
LOSS: 0.00081693, TIME: 47584.7s
STEP [136300], EPOCH [82/100], ITER [1354/1666] 
LOSS: 0.00042686, TIME: 47588.2s
STEP [136320], EPOCH [82/100], ITER [1374/1666] 
LOSS: 0.00070315, TIME: 47591.8s
STEP [136340], EPOCH [82/100], ITER [1394/1666] 
LOSS: 0.00094409, TIME: 47595.4s
STEP [136360], EPOCH [82/100], ITER [1414/1666] 
LOSS: 0.00064754, TIME: 47599.0s
STEP [136380], EPOCH [82/100], ITER [1434/1666] 
LOSS: 0.00047004, TIME: 47602.6s
STEP [136400], EPOCH [82/100], ITER [1454/1666] 
LOSS: 0.00084961, TIME: 47606.1s
STEP [136420], EPOCH [82/100], ITER [1474/1666] 
LOSS: 0.00051567, TIME: 47609.7s
STEP [136440], EPOCH [82/100], ITER [1494/1666] 
LOSS: 0.00075135, TIME: 47613.3s
STEP [136460], EPOCH [82/100], ITER [1514/1666] 
LOSS: 0.00105765, TIME: 47616.9s
STEP [136480], EPOCH [82/100], ITER [1534/1666] 
LOSS: 0.00070382, TIME: 47620.4s
STEP [136500], EPOCH [82/100], ITER [1554/1666] 
LOSS: 0.00072633, TIME: 47624.0s
STEP [136520], EPOCH [82/100], ITER [1574/1666] 
LOSS: 0.00074068, TIME: 47627.6s
STEP [136540], EPOCH [82/100], ITER [1594/1666] 
LOSS: 0.00057752, TIME: 47631.2s
STEP [136560], EPOCH [82/100], ITER [1614/1666] 
LOSS: 0.00065381, TIME: 47634.8s
STEP [136580], EPOCH [82/100], ITER [1634/1666] 
LOSS: 0.00066361, TIME: 47638.3s
STEP [136600], EPOCH [82/100], ITER [1654/1666] 
LOSS: 0.00069810, TIME: 47641.9s
STEP [136620], EPOCH [83/100], ITER [8/1666] 
LOSS: 0.00074031, TIME: 47654.7s
STEP [136640], EPOCH [83/100], ITER [28/1666] 
LOSS: 0.00061925, TIME: 47658.3s
STEP [136660], EPOCH [83/100], ITER [48/1666] 
LOSS: 0.00093132, TIME: 47661.8s
STEP [136680], EPOCH [83/100], ITER [68/1666] 
LOSS: 0.00103990, TIME: 47665.4s
STEP [136700], EPOCH [83/100], ITER [88/1666] 
LOSS: 0.00115748, TIME: 47668.9s
STEP [136720], EPOCH [83/100], ITER [108/1666] 
LOSS: 0.00077154, TIME: 47672.5s
STEP [136740], EPOCH [83/100], ITER [128/1666] 
LOSS: 0.00084476, TIME: 47676.1s
STEP [136760], EPOCH [83/100], ITER [148/1666] 
LOSS: 0.00070679, TIME: 47679.6s
STEP [136780], EPOCH [83/100], ITER [168/1666] 
LOSS: 0.00069989, TIME: 47683.2s
STEP [136800], EPOCH [83/100], ITER [188/1666] 
LOSS: 0.00059395, TIME: 47686.8s
STEP [136820], EPOCH [83/100], ITER [208/1666] 
LOSS: 0.00072268, TIME: 47690.4s
STEP [136840], EPOCH [83/100], ITER [228/1666] 
LOSS: 0.00113947, TIME: 47694.0s
STEP [136860], EPOCH [83/100], ITER [248/1666] 
LOSS: 0.00124932, TIME: 47697.6s
STEP [136880], EPOCH [83/100], ITER [268/1666] 
LOSS: 0.00082330, TIME: 47701.1s
STEP [136900], EPOCH [83/100], ITER [288/1666] 
LOSS: 0.00124151, TIME: 47704.7s
STEP [136920], EPOCH [83/100], ITER [308/1666] 
LOSS: 0.00085725, TIME: 47708.3s
STEP [136940], EPOCH [83/100], ITER [328/1666] 
LOSS: 0.00094586, TIME: 47711.9s
STEP [136960], EPOCH [83/100], ITER [348/1666] 
LOSS: 0.00062800, TIME: 47715.4s
STEP [136980], EPOCH [83/100], ITER [368/1666] 
LOSS: 0.00060489, TIME: 47719.0s
STEP [137000], EPOCH [83/100], ITER [388/1666] 
LOSS: 0.00037892, TIME: 47722.6s
STEP [137020], EPOCH [83/100], ITER [408/1666] 
LOSS: 0.00101584, TIME: 47726.2s
STEP [137040], EPOCH [83/100], ITER [428/1666] 
LOSS: 0.00062505, TIME: 47729.8s
STEP [137060], EPOCH [83/100], ITER [448/1666] 
LOSS: 0.00051061, TIME: 47733.4s
STEP [137080], EPOCH [83/100], ITER [468/1666] 
LOSS: 0.00061745, TIME: 47736.9s
STEP [137100], EPOCH [83/100], ITER [488/1666] 
LOSS: 0.00082242, TIME: 47740.5s
STEP [137120], EPOCH [83/100], ITER [508/1666] 
LOSS: 0.00082099, TIME: 47744.1s
STEP [137140], EPOCH [83/100], ITER [528/1666] 
LOSS: 0.00080623, TIME: 47747.7s
STEP [137160], EPOCH [83/100], ITER [548/1666] 
LOSS: 0.00111413, TIME: 47751.2s
STEP [137180], EPOCH [83/100], ITER [568/1666] 
LOSS: 0.00096402, TIME: 47754.8s
STEP [137200], EPOCH [83/100], ITER [588/1666] 
LOSS: 0.00163438, TIME: 47758.4s
STEP [137220], EPOCH [83/100], ITER [608/1666] 
LOSS: 0.00085841, TIME: 47762.0s
STEP [137240], EPOCH [83/100], ITER [628/1666] 
LOSS: 0.00057734, TIME: 47765.6s
STEP [137260], EPOCH [83/100], ITER [648/1666] 
LOSS: 0.00054485, TIME: 47769.1s
STEP [137280], EPOCH [83/100], ITER [668/1666] 
LOSS: 0.00060076, TIME: 47772.7s
STEP [137300], EPOCH [83/100], ITER [688/1666] 
LOSS: 0.00064134, TIME: 47776.3s
STEP [137320], EPOCH [83/100], ITER [708/1666] 
LOSS: 0.00055407, TIME: 47779.9s
STEP [137340], EPOCH [83/100], ITER [728/1666] 
LOSS: 0.00073576, TIME: 47783.4s
STEP [137360], EPOCH [83/100], ITER [748/1666] 
LOSS: 0.00090522, TIME: 47787.0s
STEP [137380], EPOCH [83/100], ITER [768/1666] 
LOSS: 0.00049115, TIME: 47790.6s
STEP [137400], EPOCH [83/100], ITER [788/1666] 
LOSS: 0.00041370, TIME: 47794.2s
STEP [137420], EPOCH [83/100], ITER [808/1666] 
LOSS: 0.00058407, TIME: 47797.8s
STEP [137440], EPOCH [83/100], ITER [828/1666] 
LOSS: 0.00049288, TIME: 47801.3s
STEP [137460], EPOCH [83/100], ITER [848/1666] 
LOSS: 0.00078986, TIME: 47804.9s
STEP [137480], EPOCH [83/100], ITER [868/1666] 
LOSS: 0.00101769, TIME: 47808.5s
STEP [137500], EPOCH [83/100], ITER [888/1666] 
LOSS: 0.00066275, TIME: 47812.1s
STEP [137520], EPOCH [83/100], ITER [908/1666] 
LOSS: 0.00130607, TIME: 47815.7s
STEP [137540], EPOCH [83/100], ITER [928/1666] 
LOSS: 0.00075000, TIME: 47819.2s
STEP [137560], EPOCH [83/100], ITER [948/1666] 
LOSS: 0.00072810, TIME: 47822.8s
STEP [137580], EPOCH [83/100], ITER [968/1666] 
LOSS: 0.00093957, TIME: 47826.4s
STEP [137600], EPOCH [83/100], ITER [988/1666] 
LOSS: 0.00067585, TIME: 47830.0s
STEP [137620], EPOCH [83/100], ITER [1008/1666] 
LOSS: 0.00068603, TIME: 47833.5s
STEP [137640], EPOCH [83/100], ITER [1028/1666] 
LOSS: 0.00058472, TIME: 47837.1s
STEP [137660], EPOCH [83/100], ITER [1048/1666] 
LOSS: 0.00058856, TIME: 47840.7s
STEP [137680], EPOCH [83/100], ITER [1068/1666] 
LOSS: 0.00078549, TIME: 47844.3s
STEP [137700], EPOCH [83/100], ITER [1088/1666] 
LOSS: 0.00042444, TIME: 47847.9s
STEP [137720], EPOCH [83/100], ITER [1108/1666] 
LOSS: 0.00079760, TIME: 47851.5s
STEP [137740], EPOCH [83/100], ITER [1128/1666] 
LOSS: 0.00073881, TIME: 47855.1s
STEP [137760], EPOCH [83/100], ITER [1148/1666] 
LOSS: 0.00103279, TIME: 47858.7s
STEP [137780], EPOCH [83/100], ITER [1168/1666] 
LOSS: 0.00063376, TIME: 47862.3s
STEP [137800], EPOCH [83/100], ITER [1188/1666] 
LOSS: 0.00062238, TIME: 47865.8s
STEP [137820], EPOCH [83/100], ITER [1208/1666] 
LOSS: 0.00075916, TIME: 47869.5s
STEP [137840], EPOCH [83/100], ITER [1228/1666] 
LOSS: 0.00063139, TIME: 47873.1s
STEP [137860], EPOCH [83/100], ITER [1248/1666] 
LOSS: 0.00052665, TIME: 47876.6s
STEP [137880], EPOCH [83/100], ITER [1268/1666] 
LOSS: 0.00099075, TIME: 47880.2s
STEP [137900], EPOCH [83/100], ITER [1288/1666] 
LOSS: 0.00114839, TIME: 47883.8s
STEP [137920], EPOCH [83/100], ITER [1308/1666] 
LOSS: 0.00068433, TIME: 47887.4s
STEP [137940], EPOCH [83/100], ITER [1328/1666] 
LOSS: 0.00092788, TIME: 47891.0s
STEP [137960], EPOCH [83/100], ITER [1348/1666] 
LOSS: 0.00053288, TIME: 47894.6s
STEP [137980], EPOCH [83/100], ITER [1368/1666] 
LOSS: 0.00070847, TIME: 47898.1s
STEP [138000], EPOCH [83/100], ITER [1388/1666] 
LOSS: 0.00068164, TIME: 47901.7s
STEP [138020], EPOCH [83/100], ITER [1408/1666] 
LOSS: 0.00078411, TIME: 47905.3s
STEP [138040], EPOCH [83/100], ITER [1428/1666] 
LOSS: 0.00056940, TIME: 47908.9s
STEP [138060], EPOCH [83/100], ITER [1448/1666] 
LOSS: 0.00084102, TIME: 47912.5s
STEP [138080], EPOCH [83/100], ITER [1468/1666] 
LOSS: 0.00083499, TIME: 47916.1s
STEP [138100], EPOCH [83/100], ITER [1488/1666] 
LOSS: 0.00077471, TIME: 47919.7s
STEP [138120], EPOCH [83/100], ITER [1508/1666] 
LOSS: 0.00096272, TIME: 47923.3s
STEP [138140], EPOCH [83/100], ITER [1528/1666] 
LOSS: 0.00061693, TIME: 47926.8s
STEP [138160], EPOCH [83/100], ITER [1548/1666] 
LOSS: 0.00104582, TIME: 47930.4s
STEP [138180], EPOCH [83/100], ITER [1568/1666] 
LOSS: 0.00068508, TIME: 47934.0s
STEP [138200], EPOCH [83/100], ITER [1588/1666] 
LOSS: 0.00081946, TIME: 47937.6s
STEP [138220], EPOCH [83/100], ITER [1608/1666] 
LOSS: 0.00137533, TIME: 47941.1s
STEP [138240], EPOCH [83/100], ITER [1628/1666] 
LOSS: 0.00141536, TIME: 47944.7s
STEP [138260], EPOCH [83/100], ITER [1648/1666] 
LOSS: 0.00073429, TIME: 47948.3s
STEP [138280], EPOCH [84/100], ITER [2/1666] 
LOSS: 0.00182254, TIME: 47960.9s
STEP [138300], EPOCH [84/100], ITER [22/1666] 
LOSS: 0.00060130, TIME: 47964.4s
STEP [138320], EPOCH [84/100], ITER [42/1666] 
LOSS: 0.00042008, TIME: 47968.0s
STEP [138340], EPOCH [84/100], ITER [62/1666] 
LOSS: 0.00071459, TIME: 47971.5s
STEP [138360], EPOCH [84/100], ITER [82/1666] 
LOSS: 0.00093581, TIME: 47975.1s
STEP [138380], EPOCH [84/100], ITER [102/1666] 
LOSS: 0.00069116, TIME: 47978.6s
STEP [138400], EPOCH [84/100], ITER [122/1666] 
LOSS: 0.00070143, TIME: 47982.2s
STEP [138420], EPOCH [84/100], ITER [142/1666] 
LOSS: 0.00074388, TIME: 47985.8s
STEP [138440], EPOCH [84/100], ITER [162/1666] 
LOSS: 0.00075978, TIME: 47989.3s
STEP [138460], EPOCH [84/100], ITER [182/1666] 
LOSS: 0.00071004, TIME: 47992.9s
STEP [138480], EPOCH [84/100], ITER [202/1666] 
LOSS: 0.00115527, TIME: 47996.5s
STEP [138500], EPOCH [84/100], ITER [222/1666] 
LOSS: 0.00156529, TIME: 48000.1s
STEP [138520], EPOCH [84/100], ITER [242/1666] 
LOSS: 0.00087250, TIME: 48003.6s
STEP [138540], EPOCH [84/100], ITER [262/1666] 
LOSS: 0.00088474, TIME: 48007.2s
STEP [138560], EPOCH [84/100], ITER [282/1666] 
LOSS: 0.00096679, TIME: 48010.8s
STEP [138580], EPOCH [84/100], ITER [302/1666] 
LOSS: 0.00055492, TIME: 48014.3s
STEP [138600], EPOCH [84/100], ITER [322/1666] 
LOSS: 0.00051837, TIME: 48017.9s
STEP [138620], EPOCH [84/100], ITER [342/1666] 
LOSS: 0.00051659, TIME: 48021.5s
STEP [138640], EPOCH [84/100], ITER [362/1666] 
LOSS: 0.00117986, TIME: 48025.1s
STEP [138660], EPOCH [84/100], ITER [382/1666] 
LOSS: 0.00103270, TIME: 48028.7s
STEP [138680], EPOCH [84/100], ITER [402/1666] 
LOSS: 0.00084786, TIME: 48032.2s
STEP [138700], EPOCH [84/100], ITER [422/1666] 
LOSS: 0.00088189, TIME: 48035.8s
STEP [138720], EPOCH [84/100], ITER [442/1666] 
LOSS: 0.00060376, TIME: 48039.4s
STEP [138740], EPOCH [84/100], ITER [462/1666] 
LOSS: 0.00066253, TIME: 48043.0s
STEP [138760], EPOCH [84/100], ITER [482/1666] 
LOSS: 0.00048824, TIME: 48046.6s
STEP [138780], EPOCH [84/100], ITER [502/1666] 
LOSS: 0.00061750, TIME: 48050.2s
STEP [138800], EPOCH [84/100], ITER [522/1666] 
LOSS: 0.00047635, TIME: 48053.7s
STEP [138820], EPOCH [84/100], ITER [542/1666] 
LOSS: 0.00139527, TIME: 48057.3s
STEP [138840], EPOCH [84/100], ITER [562/1666] 
LOSS: 0.00097637, TIME: 48060.9s
STEP [138860], EPOCH [84/100], ITER [582/1666] 
LOSS: 0.00082598, TIME: 48064.5s
STEP [138880], EPOCH [84/100], ITER [602/1666] 
LOSS: 0.00086069, TIME: 48068.0s
STEP [138900], EPOCH [84/100], ITER [622/1666] 
LOSS: 0.00061361, TIME: 48071.6s
STEP [138920], EPOCH [84/100], ITER [642/1666] 
LOSS: 0.00079306, TIME: 48075.2s
STEP [138940], EPOCH [84/100], ITER [662/1666] 
LOSS: 0.00050929, TIME: 48078.8s
STEP [138960], EPOCH [84/100], ITER [682/1666] 
LOSS: 0.00087225, TIME: 48082.4s
STEP [138980], EPOCH [84/100], ITER [702/1666] 
LOSS: 0.00061606, TIME: 48086.0s
STEP [139000], EPOCH [84/100], ITER [722/1666] 
LOSS: 0.00075484, TIME: 48089.5s
STEP [139020], EPOCH [84/100], ITER [742/1666] 
LOSS: 0.00083136, TIME: 48093.2s
STEP [139040], EPOCH [84/100], ITER [762/1666] 
LOSS: 0.00070209, TIME: 48096.7s
STEP [139060], EPOCH [84/100], ITER [782/1666] 
LOSS: 0.00084888, TIME: 48100.3s
STEP [139080], EPOCH [84/100], ITER [802/1666] 
LOSS: 0.00059203, TIME: 48103.9s
STEP [139100], EPOCH [84/100], ITER [822/1666] 
LOSS: 0.00079409, TIME: 48107.5s
STEP [139120], EPOCH [84/100], ITER [842/1666] 
LOSS: 0.00045407, TIME: 48111.1s
STEP [139140], EPOCH [84/100], ITER [862/1666] 
LOSS: 0.00152941, TIME: 48114.6s
STEP [139160], EPOCH [84/100], ITER [882/1666] 
LOSS: 0.00073465, TIME: 48118.2s
STEP [139180], EPOCH [84/100], ITER [902/1666] 
LOSS: 0.00055864, TIME: 48121.8s
STEP [139200], EPOCH [84/100], ITER [922/1666] 
LOSS: 0.00132912, TIME: 48125.4s
STEP [139220], EPOCH [84/100], ITER [942/1666] 
LOSS: 0.00096377, TIME: 48129.0s
STEP [139240], EPOCH [84/100], ITER [962/1666] 
LOSS: 0.00093769, TIME: 48132.5s
STEP [139260], EPOCH [84/100], ITER [982/1666] 
LOSS: 0.00062251, TIME: 48136.1s
STEP [139280], EPOCH [84/100], ITER [1002/1666] 
LOSS: 0.00084098, TIME: 48139.7s
STEP [139300], EPOCH [84/100], ITER [1022/1666] 
LOSS: 0.00072456, TIME: 48143.3s
STEP [139320], EPOCH [84/100], ITER [1042/1666] 
LOSS: 0.00046659, TIME: 48146.8s
STEP [139340], EPOCH [84/100], ITER [1062/1666] 
LOSS: 0.00077525, TIME: 48150.4s
STEP [139360], EPOCH [84/100], ITER [1082/1666] 
LOSS: 0.00053445, TIME: 48154.0s
STEP [139380], EPOCH [84/100], ITER [1102/1666] 
LOSS: 0.00097529, TIME: 48157.6s
STEP [139400], EPOCH [84/100], ITER [1122/1666] 
LOSS: 0.00065257, TIME: 48161.2s
STEP [139420], EPOCH [84/100], ITER [1142/1666] 
LOSS: 0.00098086, TIME: 48164.8s
STEP [139440], EPOCH [84/100], ITER [1162/1666] 
LOSS: 0.00086195, TIME: 48168.3s
STEP [139460], EPOCH [84/100], ITER [1182/1666] 
LOSS: 0.00074770, TIME: 48171.9s
STEP [139480], EPOCH [84/100], ITER [1202/1666] 
LOSS: 0.00056920, TIME: 48175.5s
STEP [139500], EPOCH [84/100], ITER [1222/1666] 
LOSS: 0.00064200, TIME: 48179.1s
STEP [139520], EPOCH [84/100], ITER [1242/1666] 
LOSS: 0.00043936, TIME: 48182.7s
STEP [139540], EPOCH [84/100], ITER [1262/1666] 
LOSS: 0.00065957, TIME: 48186.2s
STEP [139560], EPOCH [84/100], ITER [1282/1666] 
LOSS: 0.00091515, TIME: 48189.8s
STEP [139580], EPOCH [84/100], ITER [1302/1666] 
LOSS: 0.00067945, TIME: 48193.4s
STEP [139600], EPOCH [84/100], ITER [1322/1666] 
LOSS: 0.00095540, TIME: 48197.0s
STEP [139620], EPOCH [84/100], ITER [1342/1666] 
LOSS: 0.00078878, TIME: 48200.6s
STEP [139640], EPOCH [84/100], ITER [1362/1666] 
LOSS: 0.00079826, TIME: 48204.2s
STEP [139660], EPOCH [84/100], ITER [1382/1666] 
LOSS: 0.00057975, TIME: 48207.7s
STEP [139680], EPOCH [84/100], ITER [1402/1666] 
LOSS: 0.00086072, TIME: 48211.3s
STEP [139700], EPOCH [84/100], ITER [1422/1666] 
LOSS: 0.00075269, TIME: 48214.9s
STEP [139720], EPOCH [84/100], ITER [1442/1666] 
LOSS: 0.00047887, TIME: 48218.5s
STEP [139740], EPOCH [84/100], ITER [1462/1666] 
LOSS: 0.00062499, TIME: 48222.0s
STEP [139760], EPOCH [84/100], ITER [1482/1666] 
LOSS: 0.00058868, TIME: 48225.6s
STEP [139780], EPOCH [84/100], ITER [1502/1666] 
LOSS: 0.00096643, TIME: 48229.2s
STEP [139800], EPOCH [84/100], ITER [1522/1666] 
LOSS: 0.00062187, TIME: 48232.8s
STEP [139820], EPOCH [84/100], ITER [1542/1666] 
LOSS: 0.00070724, TIME: 48236.4s
STEP [139840], EPOCH [84/100], ITER [1562/1666] 
LOSS: 0.00117645, TIME: 48240.0s
STEP [139860], EPOCH [84/100], ITER [1582/1666] 
LOSS: 0.00095293, TIME: 48243.5s
STEP [139880], EPOCH [84/100], ITER [1602/1666] 
LOSS: 0.00061630, TIME: 48247.1s
STEP [139900], EPOCH [84/100], ITER [1622/1666] 
LOSS: 0.00083835, TIME: 48250.7s
STEP [139920], EPOCH [84/100], ITER [1642/1666] 
LOSS: 0.00052571, TIME: 48254.3s
STEP [139940], EPOCH [84/100], ITER [1662/1666] 
LOSS: 0.00089945, TIME: 48257.8s
STEP [139960], EPOCH [85/100], ITER [16/1666] 
LOSS: 0.00053474, TIME: 48270.6s
STEP [139980], EPOCH [85/100], ITER [36/1666] 
LOSS: 0.00070844, TIME: 48274.2s
STEP [140000], EPOCH [85/100], ITER [56/1666] 
LOSS: 0.00058874, TIME: 48277.8s
STEP [140020], EPOCH [85/100], ITER [76/1666] 
LOSS: 0.00095130, TIME: 48281.4s
STEP [140040], EPOCH [85/100], ITER [96/1666] 
LOSS: 0.00087983, TIME: 48284.9s
STEP [140060], EPOCH [85/100], ITER [116/1666] 
LOSS: 0.00069863, TIME: 48288.5s
STEP [140080], EPOCH [85/100], ITER [136/1666] 
LOSS: 0.00060505, TIME: 48292.1s
STEP [140100], EPOCH [85/100], ITER [156/1666] 
LOSS: 0.00068010, TIME: 48295.7s
STEP [140120], EPOCH [85/100], ITER [176/1666] 
LOSS: 0.00066365, TIME: 48299.2s
STEP [140140], EPOCH [85/100], ITER [196/1666] 
LOSS: 0.00055636, TIME: 48302.8s
STEP [140160], EPOCH [85/100], ITER [216/1666] 
LOSS: 0.00074088, TIME: 48306.4s
STEP [140180], EPOCH [85/100], ITER [236/1666] 
LOSS: 0.00099711, TIME: 48310.0s
STEP [140200], EPOCH [85/100], ITER [256/1666] 
LOSS: 0.00126470, TIME: 48313.6s
STEP [140220], EPOCH [85/100], ITER [276/1666] 
LOSS: 0.00106241, TIME: 48317.1s
STEP [140240], EPOCH [85/100], ITER [296/1666] 
LOSS: 0.00076030, TIME: 48320.7s
STEP [140260], EPOCH [85/100], ITER [316/1666] 
LOSS: 0.00071262, TIME: 48324.3s
STEP [140280], EPOCH [85/100], ITER [336/1666] 
LOSS: 0.00072658, TIME: 48327.9s
STEP [140300], EPOCH [85/100], ITER [356/1666] 
LOSS: 0.00088732, TIME: 48331.4s
STEP [140320], EPOCH [85/100], ITER [376/1666] 
LOSS: 0.00051644, TIME: 48335.0s
STEP [140340], EPOCH [85/100], ITER [396/1666] 
LOSS: 0.00073355, TIME: 48338.6s
STEP [140360], EPOCH [85/100], ITER [416/1666] 
LOSS: 0.00083541, TIME: 48342.2s
STEP [140380], EPOCH [85/100], ITER [436/1666] 
LOSS: 0.00101935, TIME: 48345.8s
STEP [140400], EPOCH [85/100], ITER [456/1666] 
LOSS: 0.00066227, TIME: 48349.3s
STEP [140420], EPOCH [85/100], ITER [476/1666] 
LOSS: 0.00176498, TIME: 48352.9s
STEP [140440], EPOCH [85/100], ITER [496/1666] 
LOSS: 0.00065102, TIME: 48356.5s
STEP [140460], EPOCH [85/100], ITER [516/1666] 
LOSS: 0.00122992, TIME: 48360.1s
STEP [140480], EPOCH [85/100], ITER [536/1666] 
LOSS: 0.00064558, TIME: 48363.7s
STEP [140500], EPOCH [85/100], ITER [556/1666] 
LOSS: 0.00092870, TIME: 48367.3s
STEP [140520], EPOCH [85/100], ITER [576/1666] 
LOSS: 0.00074292, TIME: 48370.9s
STEP [140540], EPOCH [85/100], ITER [596/1666] 
LOSS: 0.00098020, TIME: 48374.4s
STEP [140560], EPOCH [85/100], ITER [616/1666] 
LOSS: 0.00117642, TIME: 48378.0s
STEP [140580], EPOCH [85/100], ITER [636/1666] 
LOSS: 0.00092213, TIME: 48381.6s
STEP [140600], EPOCH [85/100], ITER [656/1666] 
LOSS: 0.00089018, TIME: 48385.2s
STEP [140620], EPOCH [85/100], ITER [676/1666] 
LOSS: 0.00094927, TIME: 48388.8s
STEP [140640], EPOCH [85/100], ITER [696/1666] 
LOSS: 0.00100421, TIME: 48392.4s
STEP [140660], EPOCH [85/100], ITER [716/1666] 
LOSS: 0.00066373, TIME: 48395.9s
STEP [140680], EPOCH [85/100], ITER [736/1666] 
LOSS: 0.00071828, TIME: 48399.5s
STEP [140700], EPOCH [85/100], ITER [756/1666] 
LOSS: 0.00081353, TIME: 48403.1s
STEP [140720], EPOCH [85/100], ITER [776/1666] 
LOSS: 0.00153019, TIME: 48406.7s
STEP [140740], EPOCH [85/100], ITER [796/1666] 
LOSS: 0.00044201, TIME: 48410.2s
STEP [140760], EPOCH [85/100], ITER [816/1666] 
LOSS: 0.00083254, TIME: 48413.8s
STEP [140780], EPOCH [85/100], ITER [836/1666] 
LOSS: 0.00114867, TIME: 48417.4s
STEP [140800], EPOCH [85/100], ITER [856/1666] 
LOSS: 0.00071485, TIME: 48421.0s
STEP [140820], EPOCH [85/100], ITER [876/1666] 
LOSS: 0.00066429, TIME: 48424.6s
STEP [140840], EPOCH [85/100], ITER [896/1666] 
LOSS: 0.00053755, TIME: 48428.1s
STEP [140860], EPOCH [85/100], ITER [916/1666] 
LOSS: 0.00098651, TIME: 48431.7s
STEP [140880], EPOCH [85/100], ITER [936/1666] 
LOSS: 0.00092158, TIME: 48435.3s
STEP [140900], EPOCH [85/100], ITER [956/1666] 
LOSS: 0.00067246, TIME: 48438.9s
STEP [140920], EPOCH [85/100], ITER [976/1666] 
LOSS: 0.00113651, TIME: 48442.4s
STEP [140940], EPOCH [85/100], ITER [996/1666] 
LOSS: 0.00094731, TIME: 48446.0s
STEP [140960], EPOCH [85/100], ITER [1016/1666] 
LOSS: 0.00106277, TIME: 48449.6s
STEP [140980], EPOCH [85/100], ITER [1036/1666] 
LOSS: 0.00054282, TIME: 48453.2s
STEP [141000], EPOCH [85/100], ITER [1056/1666] 
LOSS: 0.00071969, TIME: 48456.8s
STEP [141020], EPOCH [85/100], ITER [1076/1666] 
LOSS: 0.00068982, TIME: 48460.4s
STEP [141040], EPOCH [85/100], ITER [1096/1666] 
LOSS: 0.00074377, TIME: 48464.0s
STEP [141060], EPOCH [85/100], ITER [1116/1666] 
LOSS: 0.00123996, TIME: 48467.5s
STEP [141080], EPOCH [85/100], ITER [1136/1666] 
LOSS: 0.00117331, TIME: 48471.1s
STEP [141100], EPOCH [85/100], ITER [1156/1666] 
LOSS: 0.00039413, TIME: 48474.7s
STEP [141120], EPOCH [85/100], ITER [1176/1666] 
LOSS: 0.00082959, TIME: 48478.3s
STEP [141140], EPOCH [85/100], ITER [1196/1666] 
LOSS: 0.00080701, TIME: 48481.9s
STEP [141160], EPOCH [85/100], ITER [1216/1666] 
LOSS: 0.00095811, TIME: 48485.4s
STEP [141180], EPOCH [85/100], ITER [1236/1666] 
LOSS: 0.00093279, TIME: 48489.0s
STEP [141200], EPOCH [85/100], ITER [1256/1666] 
LOSS: 0.00126398, TIME: 48492.6s
STEP [141220], EPOCH [85/100], ITER [1276/1666] 
LOSS: 0.00109133, TIME: 48496.2s
STEP [141240], EPOCH [85/100], ITER [1296/1666] 
LOSS: 0.00048041, TIME: 48499.8s
STEP [141260], EPOCH [85/100], ITER [1316/1666] 
LOSS: 0.00113416, TIME: 48503.4s
STEP [141280], EPOCH [85/100], ITER [1336/1666] 
LOSS: 0.00072975, TIME: 48506.9s
STEP [141300], EPOCH [85/100], ITER [1356/1666] 
LOSS: 0.00066671, TIME: 48510.5s
STEP [141320], EPOCH [85/100], ITER [1376/1666] 
LOSS: 0.00072088, TIME: 48514.1s
STEP [141340], EPOCH [85/100], ITER [1396/1666] 
LOSS: 0.00135670, TIME: 48517.7s
STEP [141360], EPOCH [85/100], ITER [1416/1666] 
LOSS: 0.00106462, TIME: 48521.3s
STEP [141380], EPOCH [85/100], ITER [1436/1666] 
LOSS: 0.00085318, TIME: 48524.8s
STEP [141400], EPOCH [85/100], ITER [1456/1666] 
LOSS: 0.00097211, TIME: 48528.4s
STEP [141420], EPOCH [85/100], ITER [1476/1666] 
LOSS: 0.00248380, TIME: 48532.0s
STEP [141440], EPOCH [85/100], ITER [1496/1666] 
LOSS: 0.00120957, TIME: 48535.6s
STEP [141460], EPOCH [85/100], ITER [1516/1666] 
LOSS: 0.00094489, TIME: 48539.1s
STEP [141480], EPOCH [85/100], ITER [1536/1666] 
LOSS: 0.00157217, TIME: 48542.7s
STEP [141500], EPOCH [85/100], ITER [1556/1666] 
LOSS: 0.00151981, TIME: 48546.3s
STEP [141520], EPOCH [85/100], ITER [1576/1666] 
LOSS: 0.00056008, TIME: 48549.9s
STEP [141540], EPOCH [85/100], ITER [1596/1666] 
LOSS: 0.00114793, TIME: 48553.5s
STEP [141560], EPOCH [85/100], ITER [1616/1666] 
LOSS: 0.00081388, TIME: 48557.1s
STEP [141580], EPOCH [85/100], ITER [1636/1666] 
LOSS: 0.00063882, TIME: 48560.6s
STEP [141600], EPOCH [85/100], ITER [1656/1666] 
LOSS: 0.00103638, TIME: 48564.2s
STEP [141620], EPOCH [86/100], ITER [10/1666] 
LOSS: 0.00070421, TIME: 48576.8s
STEP [141640], EPOCH [86/100], ITER [30/1666] 
LOSS: 0.00130564, TIME: 48580.4s
STEP [141660], EPOCH [86/100], ITER [50/1666] 
LOSS: 0.00061973, TIME: 48583.9s
STEP [141680], EPOCH [86/100], ITER [70/1666] 
LOSS: 0.00073485, TIME: 48587.5s
STEP [141700], EPOCH [86/100], ITER [90/1666] 
LOSS: 0.00066057, TIME: 48591.1s
STEP [141720], EPOCH [86/100], ITER [110/1666] 
LOSS: 0.00110614, TIME: 48594.6s
STEP [141740], EPOCH [86/100], ITER [130/1666] 
LOSS: 0.00072121, TIME: 48598.2s
STEP [141760], EPOCH [86/100], ITER [150/1666] 
LOSS: 0.00045625, TIME: 48601.7s
STEP [141780], EPOCH [86/100], ITER [170/1666] 
LOSS: 0.00073757, TIME: 48605.3s
STEP [141800], EPOCH [86/100], ITER [190/1666] 
LOSS: 0.00083091, TIME: 48608.9s
STEP [141820], EPOCH [86/100], ITER [210/1666] 
LOSS: 0.00069857, TIME: 48612.4s
STEP [141840], EPOCH [86/100], ITER [230/1666] 
LOSS: 0.00084901, TIME: 48616.0s
STEP [141860], EPOCH [86/100], ITER [250/1666] 
LOSS: 0.00068828, TIME: 48619.6s
STEP [141880], EPOCH [86/100], ITER [270/1666] 
LOSS: 0.00078225, TIME: 48623.1s
STEP [141900], EPOCH [86/100], ITER [290/1666] 
LOSS: 0.00068603, TIME: 48626.7s
STEP [141920], EPOCH [86/100], ITER [310/1666] 
LOSS: 0.00176083, TIME: 48630.3s
STEP [141940], EPOCH [86/100], ITER [330/1666] 
LOSS: 0.00051622, TIME: 48633.9s
STEP [141960], EPOCH [86/100], ITER [350/1666] 
LOSS: 0.00086220, TIME: 48637.4s
STEP [141980], EPOCH [86/100], ITER [370/1666] 
LOSS: 0.00092438, TIME: 48641.0s
STEP [142000], EPOCH [86/100], ITER [390/1666] 
LOSS: 0.00091725, TIME: 48644.6s
STEP [142020], EPOCH [86/100], ITER [410/1666] 
LOSS: 0.00093098, TIME: 48648.2s
STEP [142040], EPOCH [86/100], ITER [430/1666] 
LOSS: 0.00080637, TIME: 48651.8s
STEP [142060], EPOCH [86/100], ITER [450/1666] 
LOSS: 0.00101536, TIME: 48655.4s
STEP [142080], EPOCH [86/100], ITER [470/1666] 
LOSS: 0.00084896, TIME: 48658.9s
STEP [142100], EPOCH [86/100], ITER [490/1666] 
LOSS: 0.00075409, TIME: 48662.5s
STEP [142120], EPOCH [86/100], ITER [510/1666] 
LOSS: 0.00073913, TIME: 48666.1s
STEP [142140], EPOCH [86/100], ITER [530/1666] 
LOSS: 0.00073947, TIME: 48669.7s
STEP [142160], EPOCH [86/100], ITER [550/1666] 
LOSS: 0.00059601, TIME: 48673.3s
STEP [142180], EPOCH [86/100], ITER [570/1666] 
LOSS: 0.00070298, TIME: 48676.9s
STEP [142200], EPOCH [86/100], ITER [590/1666] 
LOSS: 0.00051906, TIME: 48680.4s
STEP [142220], EPOCH [86/100], ITER [610/1666] 
LOSS: 0.00126353, TIME: 48684.0s
STEP [142240], EPOCH [86/100], ITER [630/1666] 
LOSS: 0.00064835, TIME: 48687.6s
STEP [142260], EPOCH [86/100], ITER [650/1666] 
LOSS: 0.00063634, TIME: 48691.2s
STEP [142280], EPOCH [86/100], ITER [670/1666] 
LOSS: 0.00047493, TIME: 48694.8s
STEP [142300], EPOCH [86/100], ITER [690/1666] 
LOSS: 0.00067896, TIME: 48698.4s
STEP [142320], EPOCH [86/100], ITER [710/1666] 
LOSS: 0.00078855, TIME: 48702.0s
STEP [142340], EPOCH [86/100], ITER [730/1666] 
LOSS: 0.00085665, TIME: 48705.5s
STEP [142360], EPOCH [86/100], ITER [750/1666] 
LOSS: 0.00059659, TIME: 48709.1s
STEP [142380], EPOCH [86/100], ITER [770/1666] 
LOSS: 0.00073475, TIME: 48712.7s
STEP [142400], EPOCH [86/100], ITER [790/1666] 
LOSS: 0.00062238, TIME: 48716.3s
STEP [142420], EPOCH [86/100], ITER [810/1666] 
LOSS: 0.00128219, TIME: 48719.9s
STEP [142440], EPOCH [86/100], ITER [830/1666] 
LOSS: 0.00071824, TIME: 48723.5s
STEP [142460], EPOCH [86/100], ITER [850/1666] 
LOSS: 0.00071549, TIME: 48727.0s
STEP [142480], EPOCH [86/100], ITER [870/1666] 
LOSS: 0.00068147, TIME: 48730.6s
STEP [142500], EPOCH [86/100], ITER [890/1666] 
LOSS: 0.00076771, TIME: 48734.2s
STEP [142520], EPOCH [86/100], ITER [910/1666] 
LOSS: 0.00054355, TIME: 48737.8s
STEP [142540], EPOCH [86/100], ITER [930/1666] 
LOSS: 0.00091896, TIME: 48741.4s
STEP [142560], EPOCH [86/100], ITER [950/1666] 
LOSS: 0.00091662, TIME: 48745.0s
STEP [142580], EPOCH [86/100], ITER [970/1666] 
LOSS: 0.00075532, TIME: 48748.5s
STEP [142600], EPOCH [86/100], ITER [990/1666] 
LOSS: 0.00098013, TIME: 48752.1s
STEP [142620], EPOCH [86/100], ITER [1010/1666] 
LOSS: 0.00052494, TIME: 48755.7s
STEP [142640], EPOCH [86/100], ITER [1030/1666] 
LOSS: 0.00121545, TIME: 48759.3s
STEP [142660], EPOCH [86/100], ITER [1050/1666] 
LOSS: 0.00112538, TIME: 48762.9s
STEP [142680], EPOCH [86/100], ITER [1070/1666] 
LOSS: 0.00065464, TIME: 48766.5s
STEP [142700], EPOCH [86/100], ITER [1090/1666] 
LOSS: 0.00072326, TIME: 48770.1s
STEP [142720], EPOCH [86/100], ITER [1110/1666] 
LOSS: 0.00084483, TIME: 48773.7s
STEP [142740], EPOCH [86/100], ITER [1130/1666] 
LOSS: 0.00050555, TIME: 48777.2s
STEP [142760], EPOCH [86/100], ITER [1150/1666] 
LOSS: 0.00081053, TIME: 48780.8s
STEP [142780], EPOCH [86/100], ITER [1170/1666] 
LOSS: 0.00065854, TIME: 48784.4s
STEP [142800], EPOCH [86/100], ITER [1190/1666] 
LOSS: 0.00041435, TIME: 48788.0s
STEP [142820], EPOCH [86/100], ITER [1210/1666] 
LOSS: 0.00091993, TIME: 48791.5s
STEP [142840], EPOCH [86/100], ITER [1230/1666] 
LOSS: 0.00102811, TIME: 48795.1s
STEP [142860], EPOCH [86/100], ITER [1250/1666] 
LOSS: 0.00049063, TIME: 48798.7s
STEP [142880], EPOCH [86/100], ITER [1270/1666] 
LOSS: 0.00085264, TIME: 48802.3s
STEP [142900], EPOCH [86/100], ITER [1290/1666] 
LOSS: 0.00096401, TIME: 48805.9s
STEP [142920], EPOCH [86/100], ITER [1310/1666] 
LOSS: 0.00092575, TIME: 48809.5s
STEP [142940], EPOCH [86/100], ITER [1330/1666] 
LOSS: 0.00091200, TIME: 48813.0s
STEP [142960], EPOCH [86/100], ITER [1350/1666] 
LOSS: 0.00134357, TIME: 48816.6s
STEP [142980], EPOCH [86/100], ITER [1370/1666] 
LOSS: 0.00079193, TIME: 48820.2s
STEP [143000], EPOCH [86/100], ITER [1390/1666] 
LOSS: 0.00059165, TIME: 48823.8s
STEP [143020], EPOCH [86/100], ITER [1410/1666] 
LOSS: 0.00081635, TIME: 48827.4s
STEP [143040], EPOCH [86/100], ITER [1430/1666] 
LOSS: 0.00067118, TIME: 48831.0s
STEP [143060], EPOCH [86/100], ITER [1450/1666] 
LOSS: 0.00086029, TIME: 48834.6s
STEP [143080], EPOCH [86/100], ITER [1470/1666] 
LOSS: 0.00076996, TIME: 48838.1s
STEP [143100], EPOCH [86/100], ITER [1490/1666] 
LOSS: 0.00083737, TIME: 48841.7s
STEP [143120], EPOCH [86/100], ITER [1510/1666] 
LOSS: 0.00076834, TIME: 48845.3s
STEP [143140], EPOCH [86/100], ITER [1530/1666] 
LOSS: 0.00053343, TIME: 48848.9s
STEP [143160], EPOCH [86/100], ITER [1550/1666] 
LOSS: 0.00083839, TIME: 48852.5s
STEP [143180], EPOCH [86/100], ITER [1570/1666] 
LOSS: 0.00102914, TIME: 48856.0s
STEP [143200], EPOCH [86/100], ITER [1590/1666] 
LOSS: 0.00088358, TIME: 48859.6s
STEP [143220], EPOCH [86/100], ITER [1610/1666] 
LOSS: 0.00063967, TIME: 48863.2s
STEP [143240], EPOCH [86/100], ITER [1630/1666] 
LOSS: 0.00040138, TIME: 48866.8s
STEP [143260], EPOCH [86/100], ITER [1650/1666] 
LOSS: 0.00105589, TIME: 48870.4s
STEP [143280], EPOCH [87/100], ITER [4/1666] 
LOSS: 0.00059946, TIME: 48882.9s
STEP [143300], EPOCH [87/100], ITER [24/1666] 
LOSS: 0.00121662, TIME: 48886.5s
STEP [143320], EPOCH [87/100], ITER [44/1666] 
LOSS: 0.00107668, TIME: 48890.0s
STEP [143340], EPOCH [87/100], ITER [64/1666] 
LOSS: 0.00202347, TIME: 48893.6s
STEP [143360], EPOCH [87/100], ITER [84/1666] 
LOSS: 0.00090606, TIME: 48897.2s
STEP [143380], EPOCH [87/100], ITER [104/1666] 
LOSS: 0.00120550, TIME: 48900.7s
STEP [143400], EPOCH [87/100], ITER [124/1666] 
LOSS: 0.00065583, TIME: 48904.3s
STEP [143420], EPOCH [87/100], ITER [144/1666] 
LOSS: 0.00058897, TIME: 48907.9s
STEP [143440], EPOCH [87/100], ITER [164/1666] 
LOSS: 0.00096196, TIME: 48911.4s
STEP [143460], EPOCH [87/100], ITER [184/1666] 
LOSS: 0.00066342, TIME: 48915.0s
STEP [143480], EPOCH [87/100], ITER [204/1666] 
LOSS: 0.00050301, TIME: 48918.6s
STEP [143500], EPOCH [87/100], ITER [224/1666] 
LOSS: 0.00072305, TIME: 48922.1s
STEP [143520], EPOCH [87/100], ITER [244/1666] 
LOSS: 0.00049239, TIME: 48925.7s
STEP [143540], EPOCH [87/100], ITER [264/1666] 
LOSS: 0.00080773, TIME: 48929.3s
STEP [143560], EPOCH [87/100], ITER [284/1666] 
LOSS: 0.00099502, TIME: 48932.9s
STEP [143580], EPOCH [87/100], ITER [304/1666] 
LOSS: 0.00091502, TIME: 48936.4s
STEP [143600], EPOCH [87/100], ITER [324/1666] 
LOSS: 0.00052649, TIME: 48940.0s
STEP [143620], EPOCH [87/100], ITER [344/1666] 
LOSS: 0.00075123, TIME: 48943.6s
STEP [143640], EPOCH [87/100], ITER [364/1666] 
LOSS: 0.00052576, TIME: 48947.2s
STEP [143660], EPOCH [87/100], ITER [384/1666] 
LOSS: 0.00082507, TIME: 48950.8s
STEP [143680], EPOCH [87/100], ITER [404/1666] 
LOSS: 0.00052287, TIME: 48954.4s
STEP [143700], EPOCH [87/100], ITER [424/1666] 
LOSS: 0.00084732, TIME: 48957.9s
STEP [143720], EPOCH [87/100], ITER [444/1666] 
LOSS: 0.00063938, TIME: 48961.5s
STEP [143740], EPOCH [87/100], ITER [464/1666] 
LOSS: 0.00127954, TIME: 48965.1s
STEP [143760], EPOCH [87/100], ITER [484/1666] 
LOSS: 0.00072409, TIME: 48968.7s
STEP [143780], EPOCH [87/100], ITER [504/1666] 
LOSS: 0.00099753, TIME: 48972.3s
STEP [143800], EPOCH [87/100], ITER [524/1666] 
LOSS: 0.00078360, TIME: 48975.9s
STEP [143820], EPOCH [87/100], ITER [544/1666] 
LOSS: 0.00073052, TIME: 48979.4s
STEP [143840], EPOCH [87/100], ITER [564/1666] 
LOSS: 0.00076733, TIME: 48983.0s
STEP [143860], EPOCH [87/100], ITER [584/1666] 
LOSS: 0.00075541, TIME: 48986.6s
STEP [143880], EPOCH [87/100], ITER [604/1666] 
LOSS: 0.00075670, TIME: 48990.2s
STEP [143900], EPOCH [87/100], ITER [624/1666] 
LOSS: 0.00083433, TIME: 48993.8s
STEP [143920], EPOCH [87/100], ITER [644/1666] 
LOSS: 0.00097224, TIME: 48997.3s
STEP [143940], EPOCH [87/100], ITER [664/1666] 
LOSS: 0.00057636, TIME: 49000.9s
STEP [143960], EPOCH [87/100], ITER [684/1666] 
LOSS: 0.00168131, TIME: 49004.5s
STEP [143980], EPOCH [87/100], ITER [704/1666] 
LOSS: 0.00081106, TIME: 49008.1s
STEP [144000], EPOCH [87/100], ITER [724/1666] 
LOSS: 0.00067464, TIME: 49011.7s
STEP [144020], EPOCH [87/100], ITER [744/1666] 
LOSS: 0.00059397, TIME: 49015.3s
STEP [144040], EPOCH [87/100], ITER [764/1666] 
LOSS: 0.00117688, TIME: 49018.9s
STEP [144060], EPOCH [87/100], ITER [784/1666] 
LOSS: 0.00202395, TIME: 49022.4s
STEP [144080], EPOCH [87/100], ITER [804/1666] 
LOSS: 0.00105148, TIME: 49026.0s
STEP [144100], EPOCH [87/100], ITER [824/1666] 
LOSS: 0.00061636, TIME: 49029.6s
STEP [144120], EPOCH [87/100], ITER [844/1666] 
LOSS: 0.00054242, TIME: 49033.2s
STEP [144140], EPOCH [87/100], ITER [864/1666] 
LOSS: 0.00080639, TIME: 49036.8s
STEP [144160], EPOCH [87/100], ITER [884/1666] 
LOSS: 0.00058104, TIME: 49040.4s
STEP [144180], EPOCH [87/100], ITER [904/1666] 
LOSS: 0.00076085, TIME: 49044.0s
STEP [144200], EPOCH [87/100], ITER [924/1666] 
LOSS: 0.00066506, TIME: 49047.5s
STEP [144220], EPOCH [87/100], ITER [944/1666] 
LOSS: 0.00087143, TIME: 49051.1s
STEP [144240], EPOCH [87/100], ITER [964/1666] 
LOSS: 0.00206892, TIME: 49054.7s
STEP [144260], EPOCH [87/100], ITER [984/1666] 
LOSS: 0.00054740, TIME: 49058.3s
STEP [144280], EPOCH [87/100], ITER [1004/1666] 
LOSS: 0.00088493, TIME: 49061.9s
STEP [144300], EPOCH [87/100], ITER [1024/1666] 
LOSS: 0.00069156, TIME: 49065.5s
STEP [144320], EPOCH [87/100], ITER [1044/1666] 
LOSS: 0.00088561, TIME: 49069.0s
STEP [144340], EPOCH [87/100], ITER [1064/1666] 
LOSS: 0.00074720, TIME: 49072.6s
STEP [144360], EPOCH [87/100], ITER [1084/1666] 
LOSS: 0.00087437, TIME: 49076.2s
STEP [144380], EPOCH [87/100], ITER [1104/1666] 
LOSS: 0.00090185, TIME: 49079.8s
STEP [144400], EPOCH [87/100], ITER [1124/1666] 
LOSS: 0.00071842, TIME: 49083.4s
STEP [144420], EPOCH [87/100], ITER [1144/1666] 
LOSS: 0.00063982, TIME: 49087.0s
STEP [144440], EPOCH [87/100], ITER [1164/1666] 
LOSS: 0.00106441, TIME: 49090.6s
STEP [144460], EPOCH [87/100], ITER [1184/1666] 
LOSS: 0.00082179, TIME: 49094.2s
STEP [144480], EPOCH [87/100], ITER [1204/1666] 
LOSS: 0.00105597, TIME: 49097.8s
STEP [144500], EPOCH [87/100], ITER [1224/1666] 
LOSS: 0.00058384, TIME: 49101.4s
STEP [144520], EPOCH [87/100], ITER [1244/1666] 
LOSS: 0.00074105, TIME: 49104.9s
STEP [144540], EPOCH [87/100], ITER [1264/1666] 
LOSS: 0.00070498, TIME: 49108.5s
STEP [144560], EPOCH [87/100], ITER [1284/1666] 
LOSS: 0.00082146, TIME: 49112.1s
STEP [144580], EPOCH [87/100], ITER [1304/1666] 
LOSS: 0.00057076, TIME: 49115.7s
STEP [144600], EPOCH [87/100], ITER [1324/1666] 
LOSS: 0.00042971, TIME: 49119.2s
STEP [144620], EPOCH [87/100], ITER [1344/1666] 
LOSS: 0.00081580, TIME: 49122.8s
STEP [144640], EPOCH [87/100], ITER [1364/1666] 
LOSS: 0.00061954, TIME: 49126.4s
STEP [144660], EPOCH [87/100], ITER [1384/1666] 
LOSS: 0.00150453, TIME: 49130.0s
STEP [144680], EPOCH [87/100], ITER [1404/1666] 
LOSS: 0.00068155, TIME: 49133.6s
STEP [144700], EPOCH [87/100], ITER [1424/1666] 
LOSS: 0.00057853, TIME: 49137.2s
STEP [144720], EPOCH [87/100], ITER [1444/1666] 
LOSS: 0.00166184, TIME: 49140.7s
STEP [144740], EPOCH [87/100], ITER [1464/1666] 
LOSS: 0.00048134, TIME: 49144.3s
STEP [144760], EPOCH [87/100], ITER [1484/1666] 
LOSS: 0.00069031, TIME: 49147.9s
STEP [144780], EPOCH [87/100], ITER [1504/1666] 
LOSS: 0.00084939, TIME: 49151.5s
STEP [144800], EPOCH [87/100], ITER [1524/1666] 
LOSS: 0.00112025, TIME: 49155.0s
STEP [144820], EPOCH [87/100], ITER [1544/1666] 
LOSS: 0.00080098, TIME: 49158.6s
STEP [144840], EPOCH [87/100], ITER [1564/1666] 
LOSS: 0.00059582, TIME: 49162.2s
STEP [144860], EPOCH [87/100], ITER [1584/1666] 
LOSS: 0.00073634, TIME: 49165.8s
STEP [144880], EPOCH [87/100], ITER [1604/1666] 
LOSS: 0.00036728, TIME: 49169.4s
STEP [144900], EPOCH [87/100], ITER [1624/1666] 
LOSS: 0.00065118, TIME: 49172.9s
STEP [144920], EPOCH [87/100], ITER [1644/1666] 
LOSS: 0.00099333, TIME: 49176.5s
STEP [144940], EPOCH [87/100], ITER [1664/1666] 
LOSS: 0.00144201, TIME: 49180.1s
STEP [144960], EPOCH [88/100], ITER [18/1666] 
LOSS: 0.00118424, TIME: 49192.9s
STEP [144980], EPOCH [88/100], ITER [38/1666] 
LOSS: 0.00061648, TIME: 49196.5s
STEP [145000], EPOCH [88/100], ITER [58/1666] 
LOSS: 0.00066436, TIME: 49200.0s
STEP [145020], EPOCH [88/100], ITER [78/1666] 
LOSS: 0.00069047, TIME: 49203.6s
STEP [145040], EPOCH [88/100], ITER [98/1666] 
LOSS: 0.00076359, TIME: 49207.2s
STEP [145060], EPOCH [88/100], ITER [118/1666] 
LOSS: 0.00056686, TIME: 49210.7s
STEP [145080], EPOCH [88/100], ITER [138/1666] 
LOSS: 0.00108890, TIME: 49214.3s
STEP [145100], EPOCH [88/100], ITER [158/1666] 
LOSS: 0.00081774, TIME: 49217.9s
STEP [145120], EPOCH [88/100], ITER [178/1666] 
LOSS: 0.00097724, TIME: 49221.5s
STEP [145140], EPOCH [88/100], ITER [198/1666] 
LOSS: 0.00080533, TIME: 49225.0s
STEP [145160], EPOCH [88/100], ITER [218/1666] 
LOSS: 0.00105135, TIME: 49228.6s
STEP [145180], EPOCH [88/100], ITER [238/1666] 
LOSS: 0.00061997, TIME: 49232.2s
STEP [145200], EPOCH [88/100], ITER [258/1666] 
LOSS: 0.00070755, TIME: 49235.7s
STEP [145220], EPOCH [88/100], ITER [278/1666] 
LOSS: 0.00103815, TIME: 49239.3s
STEP [145240], EPOCH [88/100], ITER [298/1666] 
LOSS: 0.00081133, TIME: 49242.9s
STEP [145260], EPOCH [88/100], ITER [318/1666] 
LOSS: 0.00092693, TIME: 49246.5s
STEP [145280], EPOCH [88/100], ITER [338/1666] 
LOSS: 0.00071254, TIME: 49250.0s
STEP [145300], EPOCH [88/100], ITER [358/1666] 
LOSS: 0.00070285, TIME: 49253.6s
STEP [145320], EPOCH [88/100], ITER [378/1666] 
LOSS: 0.00070089, TIME: 49257.2s
STEP [145340], EPOCH [88/100], ITER [398/1666] 
LOSS: 0.00059345, TIME: 49260.8s
STEP [145360], EPOCH [88/100], ITER [418/1666] 
LOSS: 0.00074493, TIME: 49264.3s
STEP [145380], EPOCH [88/100], ITER [438/1666] 
LOSS: 0.00040247, TIME: 49267.9s
STEP [145400], EPOCH [88/100], ITER [458/1666] 
LOSS: 0.00109018, TIME: 49271.5s
STEP [145420], EPOCH [88/100], ITER [478/1666] 
LOSS: 0.00069359, TIME: 49275.1s
STEP [145440], EPOCH [88/100], ITER [498/1666] 
LOSS: 0.00082717, TIME: 49278.7s
STEP [145460], EPOCH [88/100], ITER [518/1666] 
LOSS: 0.00084297, TIME: 49282.2s
STEP [145480], EPOCH [88/100], ITER [538/1666] 
LOSS: 0.00082509, TIME: 49285.8s
STEP [145500], EPOCH [88/100], ITER [558/1666] 
LOSS: 0.00085837, TIME: 49289.4s
STEP [145520], EPOCH [88/100], ITER [578/1666] 
LOSS: 0.00062146, TIME: 49293.0s
STEP [145540], EPOCH [88/100], ITER [598/1666] 
LOSS: 0.00092606, TIME: 49296.5s
STEP [145560], EPOCH [88/100], ITER [618/1666] 
LOSS: 0.00104341, TIME: 49300.1s
STEP [145580], EPOCH [88/100], ITER [638/1666] 
LOSS: 0.00103477, TIME: 49303.7s
STEP [145600], EPOCH [88/100], ITER [658/1666] 
LOSS: 0.00069703, TIME: 49307.3s
STEP [145620], EPOCH [88/100], ITER [678/1666] 
LOSS: 0.00072302, TIME: 49310.8s
STEP [145640], EPOCH [88/100], ITER [698/1666] 
LOSS: 0.00076740, TIME: 49314.4s
STEP [145660], EPOCH [88/100], ITER [718/1666] 
LOSS: 0.00052138, TIME: 49318.0s
STEP [145680], EPOCH [88/100], ITER [738/1666] 
LOSS: 0.00098058, TIME: 49321.6s
STEP [145700], EPOCH [88/100], ITER [758/1666] 
LOSS: 0.00056924, TIME: 49325.1s
STEP [145720], EPOCH [88/100], ITER [778/1666] 
LOSS: 0.00094331, TIME: 49328.7s
STEP [145740], EPOCH [88/100], ITER [798/1666] 
LOSS: 0.00064953, TIME: 49332.3s
STEP [145760], EPOCH [88/100], ITER [818/1666] 
LOSS: 0.00056039, TIME: 49335.9s
STEP [145780], EPOCH [88/100], ITER [838/1666] 
LOSS: 0.00099098, TIME: 49339.5s
STEP [145800], EPOCH [88/100], ITER [858/1666] 
LOSS: 0.00086249, TIME: 49343.0s
STEP [145820], EPOCH [88/100], ITER [878/1666] 
LOSS: 0.00090668, TIME: 49346.6s
STEP [145840], EPOCH [88/100], ITER [898/1666] 
LOSS: 0.00078700, TIME: 49350.2s
STEP [145860], EPOCH [88/100], ITER [918/1666] 
LOSS: 0.00079851, TIME: 49353.8s
STEP [145880], EPOCH [88/100], ITER [938/1666] 
LOSS: 0.00072959, TIME: 49357.4s
STEP [145900], EPOCH [88/100], ITER [958/1666] 
LOSS: 0.00086137, TIME: 49360.9s
STEP [145920], EPOCH [88/100], ITER [978/1666] 
LOSS: 0.00081732, TIME: 49364.5s
STEP [145940], EPOCH [88/100], ITER [998/1666] 
LOSS: 0.00084672, TIME: 49368.1s
STEP [145960], EPOCH [88/100], ITER [1018/1666] 
LOSS: 0.00079676, TIME: 49371.7s
STEP [145980], EPOCH [88/100], ITER [1038/1666] 
LOSS: 0.00146605, TIME: 49375.2s
STEP [146000], EPOCH [88/100], ITER [1058/1666] 
LOSS: 0.00070090, TIME: 49378.8s
STEP [146020], EPOCH [88/100], ITER [1078/1666] 
LOSS: 0.00091141, TIME: 49382.4s
STEP [146040], EPOCH [88/100], ITER [1098/1666] 
LOSS: 0.00087393, TIME: 49386.0s
STEP [146060], EPOCH [88/100], ITER [1118/1666] 
LOSS: 0.00113721, TIME: 49389.6s
STEP [146080], EPOCH [88/100], ITER [1138/1666] 
LOSS: 0.00067986, TIME: 49393.2s
STEP [146100], EPOCH [88/100], ITER [1158/1666] 
LOSS: 0.00084092, TIME: 49396.8s
STEP [146120], EPOCH [88/100], ITER [1178/1666] 
LOSS: 0.00086608, TIME: 49400.4s
STEP [146140], EPOCH [88/100], ITER [1198/1666] 
LOSS: 0.00087665, TIME: 49404.0s
STEP [146160], EPOCH [88/100], ITER [1218/1666] 
LOSS: 0.00096477, TIME: 49407.6s
STEP [146180], EPOCH [88/100], ITER [1238/1666] 
LOSS: 0.00057843, TIME: 49411.1s
STEP [146200], EPOCH [88/100], ITER [1258/1666] 
LOSS: 0.00052502, TIME: 49414.7s
STEP [146220], EPOCH [88/100], ITER [1278/1666] 
LOSS: 0.00068244, TIME: 49418.3s
STEP [146240], EPOCH [88/100], ITER [1298/1666] 
LOSS: 0.00106679, TIME: 49421.9s
STEP [146260], EPOCH [88/100], ITER [1318/1666] 
LOSS: 0.00110279, TIME: 49425.4s
STEP [146280], EPOCH [88/100], ITER [1338/1666] 
LOSS: 0.00053040, TIME: 49429.0s
STEP [146300], EPOCH [88/100], ITER [1358/1666] 
LOSS: 0.00108306, TIME: 49432.6s
STEP [146320], EPOCH [88/100], ITER [1378/1666] 
LOSS: 0.00077250, TIME: 49436.2s
STEP [146340], EPOCH [88/100], ITER [1398/1666] 
LOSS: 0.00069308, TIME: 49439.8s
STEP [146360], EPOCH [88/100], ITER [1418/1666] 
LOSS: 0.00072741, TIME: 49443.3s
STEP [146380], EPOCH [88/100], ITER [1438/1666] 
LOSS: 0.00062726, TIME: 49446.9s
STEP [146400], EPOCH [88/100], ITER [1458/1666] 
LOSS: 0.00085357, TIME: 49450.5s
STEP [146420], EPOCH [88/100], ITER [1478/1666] 
LOSS: 0.00059300, TIME: 49454.1s
STEP [146440], EPOCH [88/100], ITER [1498/1666] 
LOSS: 0.00089806, TIME: 49457.6s
STEP [146460], EPOCH [88/100], ITER [1518/1666] 
LOSS: 0.00087521, TIME: 49461.2s
STEP [146480], EPOCH [88/100], ITER [1538/1666] 
LOSS: 0.00078034, TIME: 49464.8s
STEP [146500], EPOCH [88/100], ITER [1558/1666] 
LOSS: 0.00074613, TIME: 49468.4s
STEP [146520], EPOCH [88/100], ITER [1578/1666] 
LOSS: 0.00089789, TIME: 49472.0s
STEP [146540], EPOCH [88/100], ITER [1598/1666] 
LOSS: 0.00056798, TIME: 49475.6s
STEP [146560], EPOCH [88/100], ITER [1618/1666] 
LOSS: 0.00045055, TIME: 49479.1s
STEP [146580], EPOCH [88/100], ITER [1638/1666] 
LOSS: 0.00063721, TIME: 49482.7s
STEP [146600], EPOCH [88/100], ITER [1658/1666] 
LOSS: 0.00041369, TIME: 49486.3s
STEP [146620], EPOCH [89/100], ITER [12/1666] 
LOSS: 0.00098248, TIME: 49499.0s
STEP [146640], EPOCH [89/100], ITER [32/1666] 
LOSS: 0.00061555, TIME: 49502.5s
STEP [146660], EPOCH [89/100], ITER [52/1666] 
LOSS: 0.00069719, TIME: 49506.1s
STEP [146680], EPOCH [89/100], ITER [72/1666] 
LOSS: 0.00099159, TIME: 49509.7s
STEP [146700], EPOCH [89/100], ITER [92/1666] 
LOSS: 0.00079080, TIME: 49513.2s
STEP [146720], EPOCH [89/100], ITER [112/1666] 
LOSS: 0.00057565, TIME: 49516.8s
STEP [146740], EPOCH [89/100], ITER [132/1666] 
LOSS: 0.00135239, TIME: 49520.4s
STEP [146760], EPOCH [89/100], ITER [152/1666] 
LOSS: 0.00052979, TIME: 49523.9s
STEP [146780], EPOCH [89/100], ITER [172/1666] 
LOSS: 0.00108613, TIME: 49527.5s
STEP [146800], EPOCH [89/100], ITER [192/1666] 
LOSS: 0.00066825, TIME: 49531.1s
STEP [146820], EPOCH [89/100], ITER [212/1666] 
LOSS: 0.00064466, TIME: 49534.7s
STEP [146840], EPOCH [89/100], ITER [232/1666] 
LOSS: 0.00175653, TIME: 49538.2s
STEP [146860], EPOCH [89/100], ITER [252/1666] 
LOSS: 0.00094519, TIME: 49541.8s
STEP [146880], EPOCH [89/100], ITER [272/1666] 
LOSS: 0.00064596, TIME: 49545.4s
STEP [146900], EPOCH [89/100], ITER [292/1666] 
LOSS: 0.00109555, TIME: 49549.0s
STEP [146920], EPOCH [89/100], ITER [312/1666] 
LOSS: 0.00091842, TIME: 49552.6s
STEP [146940], EPOCH [89/100], ITER [332/1666] 
LOSS: 0.00097420, TIME: 49556.2s
STEP [146960], EPOCH [89/100], ITER [352/1666] 
LOSS: 0.00076207, TIME: 49559.7s
STEP [146980], EPOCH [89/100], ITER [372/1666] 
LOSS: 0.00073064, TIME: 49563.3s
STEP [147000], EPOCH [89/100], ITER [392/1666] 
LOSS: 0.00045247, TIME: 49566.9s
STEP [147020], EPOCH [89/100], ITER [412/1666] 
LOSS: 0.00064346, TIME: 49570.5s
STEP [147040], EPOCH [89/100], ITER [432/1666] 
LOSS: 0.00074444, TIME: 49574.1s
STEP [147060], EPOCH [89/100], ITER [452/1666] 
LOSS: 0.00046633, TIME: 49577.7s
STEP [147080], EPOCH [89/100], ITER [472/1666] 
LOSS: 0.00095069, TIME: 49581.3s
STEP [147100], EPOCH [89/100], ITER [492/1666] 
LOSS: 0.00042998, TIME: 49584.8s
STEP [147120], EPOCH [89/100], ITER [512/1666] 
LOSS: 0.00091422, TIME: 49588.4s
STEP [147140], EPOCH [89/100], ITER [532/1666] 
LOSS: 0.00071896, TIME: 49592.0s
STEP [147160], EPOCH [89/100], ITER [552/1666] 
LOSS: 0.00142301, TIME: 49595.6s
STEP [147180], EPOCH [89/100], ITER [572/1666] 
LOSS: 0.00057738, TIME: 49599.2s
STEP [147200], EPOCH [89/100], ITER [592/1666] 
LOSS: 0.00189752, TIME: 49602.8s
STEP [147220], EPOCH [89/100], ITER [612/1666] 
LOSS: 0.00056245, TIME: 49606.4s
STEP [147240], EPOCH [89/100], ITER [632/1666] 
LOSS: 0.00063574, TIME: 49609.9s
STEP [147260], EPOCH [89/100], ITER [652/1666] 
LOSS: 0.00097957, TIME: 49613.5s
STEP [147280], EPOCH [89/100], ITER [672/1666] 
LOSS: 0.00109000, TIME: 49617.1s
STEP [147300], EPOCH [89/100], ITER [692/1666] 
LOSS: 0.00113196, TIME: 49620.7s
STEP [147320], EPOCH [89/100], ITER [712/1666] 
LOSS: 0.00067318, TIME: 49624.3s
STEP [147340], EPOCH [89/100], ITER [732/1666] 
LOSS: 0.00073378, TIME: 49627.9s
STEP [147360], EPOCH [89/100], ITER [752/1666] 
LOSS: 0.00054223, TIME: 49631.5s
STEP [147380], EPOCH [89/100], ITER [772/1666] 
LOSS: 0.00072616, TIME: 49635.0s
STEP [147400], EPOCH [89/100], ITER [792/1666] 
LOSS: 0.00065155, TIME: 49638.6s
STEP [147420], EPOCH [89/100], ITER [812/1666] 
LOSS: 0.00103056, TIME: 49642.2s
STEP [147440], EPOCH [89/100], ITER [832/1666] 
LOSS: 0.00076944, TIME: 49645.8s
STEP [147460], EPOCH [89/100], ITER [852/1666] 
LOSS: 0.00084296, TIME: 49649.4s
STEP [147480], EPOCH [89/100], ITER [872/1666] 
LOSS: 0.00082125, TIME: 49653.0s
STEP [147500], EPOCH [89/100], ITER [892/1666] 
LOSS: 0.00094061, TIME: 49656.5s
STEP [147520], EPOCH [89/100], ITER [912/1666] 
LOSS: 0.00066217, TIME: 49660.1s
STEP [147540], EPOCH [89/100], ITER [932/1666] 
LOSS: 0.00095127, TIME: 49663.7s
STEP [147560], EPOCH [89/100], ITER [952/1666] 
LOSS: 0.00125318, TIME: 49667.3s
STEP [147580], EPOCH [89/100], ITER [972/1666] 
LOSS: 0.00082777, TIME: 49670.9s
STEP [147600], EPOCH [89/100], ITER [992/1666] 
LOSS: 0.00060811, TIME: 49674.4s
STEP [147620], EPOCH [89/100], ITER [1012/1666] 
LOSS: 0.00067888, TIME: 49678.0s
STEP [147640], EPOCH [89/100], ITER [1032/1666] 
LOSS: 0.00073769, TIME: 49681.6s
STEP [147660], EPOCH [89/100], ITER [1052/1666] 
LOSS: 0.00068214, TIME: 49685.2s
STEP [147680], EPOCH [89/100], ITER [1072/1666] 
LOSS: 0.00079889, TIME: 49688.7s
STEP [147700], EPOCH [89/100], ITER [1092/1666] 
LOSS: 0.00107892, TIME: 49692.3s
STEP [147720], EPOCH [89/100], ITER [1112/1666] 
LOSS: 0.00058619, TIME: 49695.9s
STEP [147740], EPOCH [89/100], ITER [1132/1666] 
LOSS: 0.00092837, TIME: 49699.5s
STEP [147760], EPOCH [89/100], ITER [1152/1666] 
LOSS: 0.00075128, TIME: 49703.1s
STEP [147780], EPOCH [89/100], ITER [1172/1666] 
LOSS: 0.00080435, TIME: 49706.7s
STEP [147800], EPOCH [89/100], ITER [1192/1666] 
LOSS: 0.00055777, TIME: 49710.2s
STEP [147820], EPOCH [89/100], ITER [1212/1666] 
LOSS: 0.00078298, TIME: 49713.8s
STEP [147840], EPOCH [89/100], ITER [1232/1666] 
LOSS: 0.00073189, TIME: 49717.4s
STEP [147860], EPOCH [89/100], ITER [1252/1666] 
LOSS: 0.00090813, TIME: 49721.0s
STEP [147880], EPOCH [89/100], ITER [1272/1666] 
LOSS: 0.00121336, TIME: 49724.5s
STEP [147900], EPOCH [89/100], ITER [1292/1666] 
LOSS: 0.00078421, TIME: 49728.1s
STEP [147920], EPOCH [89/100], ITER [1312/1666] 
LOSS: 0.00058941, TIME: 49731.7s
STEP [147940], EPOCH [89/100], ITER [1332/1666] 
LOSS: 0.00083880, TIME: 49735.3s
STEP [147960], EPOCH [89/100], ITER [1352/1666] 
LOSS: 0.00128690, TIME: 49738.9s
STEP [147980], EPOCH [89/100], ITER [1372/1666] 
LOSS: 0.00108717, TIME: 49742.5s
STEP [148000], EPOCH [89/100], ITER [1392/1666] 
LOSS: 0.00086541, TIME: 49746.1s
STEP [148020], EPOCH [89/100], ITER [1412/1666] 
LOSS: 0.00070024, TIME: 49749.7s
STEP [148040], EPOCH [89/100], ITER [1432/1666] 
LOSS: 0.00069615, TIME: 49753.3s
STEP [148060], EPOCH [89/100], ITER [1452/1666] 
LOSS: 0.00090661, TIME: 49756.8s
STEP [148080], EPOCH [89/100], ITER [1472/1666] 
LOSS: 0.00085369, TIME: 49760.4s
STEP [148100], EPOCH [89/100], ITER [1492/1666] 
LOSS: 0.00037274, TIME: 49764.0s
STEP [148120], EPOCH [89/100], ITER [1512/1666] 
LOSS: 0.00089257, TIME: 49767.6s
STEP [148140], EPOCH [89/100], ITER [1532/1666] 
LOSS: 0.00056290, TIME: 49771.2s
STEP [148160], EPOCH [89/100], ITER [1552/1666] 
LOSS: 0.00060550, TIME: 49774.8s
STEP [148180], EPOCH [89/100], ITER [1572/1666] 
LOSS: 0.00063754, TIME: 49778.3s
STEP [148200], EPOCH [89/100], ITER [1592/1666] 
LOSS: 0.00054525, TIME: 49781.9s
STEP [148220], EPOCH [89/100], ITER [1612/1666] 
LOSS: 0.00090055, TIME: 49785.5s
STEP [148240], EPOCH [89/100], ITER [1632/1666] 
LOSS: 0.00130399, TIME: 49789.1s
STEP [148260], EPOCH [89/100], ITER [1652/1666] 
LOSS: 0.00091917, TIME: 49792.7s
STEP [148280], EPOCH [90/100], ITER [6/1666] 
LOSS: 0.00072123, TIME: 49805.4s
STEP [148300], EPOCH [90/100], ITER [26/1666] 
LOSS: 0.00042779, TIME: 49809.0s
STEP [148320], EPOCH [90/100], ITER [46/1666] 
LOSS: 0.00086047, TIME: 49812.5s
STEP [148340], EPOCH [90/100], ITER [66/1666] 
LOSS: 0.00056758, TIME: 49816.1s
STEP [148360], EPOCH [90/100], ITER [86/1666] 
LOSS: 0.00093511, TIME: 49819.6s
STEP [148380], EPOCH [90/100], ITER [106/1666] 
LOSS: 0.00062639, TIME: 49823.2s
STEP [148400], EPOCH [90/100], ITER [126/1666] 
LOSS: 0.00068345, TIME: 49826.8s
STEP [148420], EPOCH [90/100], ITER [146/1666] 
LOSS: 0.00071306, TIME: 49830.3s
STEP [148440], EPOCH [90/100], ITER [166/1666] 
LOSS: 0.00094468, TIME: 49833.9s
STEP [148460], EPOCH [90/100], ITER [186/1666] 
LOSS: 0.00064510, TIME: 49837.5s
STEP [148480], EPOCH [90/100], ITER [206/1666] 
LOSS: 0.00071345, TIME: 49841.1s
STEP [148500], EPOCH [90/100], ITER [226/1666] 
LOSS: 0.00061294, TIME: 49844.6s
STEP [148520], EPOCH [90/100], ITER [246/1666] 
LOSS: 0.00084776, TIME: 49848.2s
STEP [148540], EPOCH [90/100], ITER [266/1666] 
LOSS: 0.00109095, TIME: 49851.8s
STEP [148560], EPOCH [90/100], ITER [286/1666] 
LOSS: 0.00214513, TIME: 49855.4s
STEP [148580], EPOCH [90/100], ITER [306/1666] 
LOSS: 0.00108757, TIME: 49858.9s
STEP [148600], EPOCH [90/100], ITER [326/1666] 
LOSS: 0.00114220, TIME: 49862.5s
STEP [148620], EPOCH [90/100], ITER [346/1666] 
LOSS: 0.00081883, TIME: 49866.1s
STEP [148640], EPOCH [90/100], ITER [366/1666] 
LOSS: 0.00079265, TIME: 49869.7s
STEP [148660], EPOCH [90/100], ITER [386/1666] 
LOSS: 0.00083063, TIME: 49873.2s
STEP [148680], EPOCH [90/100], ITER [406/1666] 
LOSS: 0.00063184, TIME: 49876.8s
STEP [148700], EPOCH [90/100], ITER [426/1666] 
LOSS: 0.00136426, TIME: 49880.4s
STEP [148720], EPOCH [90/100], ITER [446/1666] 
LOSS: 0.00063177, TIME: 49884.0s
STEP [148740], EPOCH [90/100], ITER [466/1666] 
LOSS: 0.00065541, TIME: 49887.5s
STEP [148760], EPOCH [90/100], ITER [486/1666] 
LOSS: 0.00075965, TIME: 49891.1s
STEP [148780], EPOCH [90/100], ITER [506/1666] 
LOSS: 0.00082271, TIME: 49894.7s
STEP [148800], EPOCH [90/100], ITER [526/1666] 
LOSS: 0.00085222, TIME: 49898.3s
STEP [148820], EPOCH [90/100], ITER [546/1666] 
LOSS: 0.00050403, TIME: 49901.8s
STEP [148840], EPOCH [90/100], ITER [566/1666] 
LOSS: 0.00143083, TIME: 49905.4s
STEP [148860], EPOCH [90/100], ITER [586/1666] 
LOSS: 0.00066119, TIME: 49909.0s
STEP [148880], EPOCH [90/100], ITER [606/1666] 
LOSS: 0.00142728, TIME: 49912.6s
STEP [148900], EPOCH [90/100], ITER [626/1666] 
LOSS: 0.00059272, TIME: 49916.2s
STEP [148920], EPOCH [90/100], ITER [646/1666] 
LOSS: 0.00065206, TIME: 49919.8s
STEP [148940], EPOCH [90/100], ITER [666/1666] 
LOSS: 0.00111018, TIME: 49923.3s
STEP [148960], EPOCH [90/100], ITER [686/1666] 
LOSS: 0.00086884, TIME: 49926.9s
STEP [148980], EPOCH [90/100], ITER [706/1666] 
LOSS: 0.00067363, TIME: 49930.5s
STEP [149000], EPOCH [90/100], ITER [726/1666] 
LOSS: 0.00051409, TIME: 49934.1s
STEP [149020], EPOCH [90/100], ITER [746/1666] 
LOSS: 0.00052415, TIME: 49937.7s
STEP [149040], EPOCH [90/100], ITER [766/1666] 
LOSS: 0.00086231, TIME: 49941.3s
STEP [149060], EPOCH [90/100], ITER [786/1666] 
LOSS: 0.00072530, TIME: 49944.8s
STEP [149080], EPOCH [90/100], ITER [806/1666] 
LOSS: 0.00061315, TIME: 49948.4s
STEP [149100], EPOCH [90/100], ITER [826/1666] 
LOSS: 0.00077076, TIME: 49952.0s
STEP [149120], EPOCH [90/100], ITER [846/1666] 
LOSS: 0.00079505, TIME: 49955.6s
STEP [149140], EPOCH [90/100], ITER [866/1666] 
LOSS: 0.00069064, TIME: 49959.2s
STEP [149160], EPOCH [90/100], ITER [886/1666] 
LOSS: 0.00073081, TIME: 49962.7s
STEP [149180], EPOCH [90/100], ITER [906/1666] 
LOSS: 0.00067584, TIME: 49966.3s
STEP [149200], EPOCH [90/100], ITER [926/1666] 
LOSS: 0.00078510, TIME: 49969.9s
STEP [149220], EPOCH [90/100], ITER [946/1666] 
LOSS: 0.00088711, TIME: 49973.5s
STEP [149240], EPOCH [90/100], ITER [966/1666] 
LOSS: 0.00078316, TIME: 49977.1s
STEP [149260], EPOCH [90/100], ITER [986/1666] 
LOSS: 0.00080696, TIME: 49980.6s
STEP [149280], EPOCH [90/100], ITER [1006/1666] 
LOSS: 0.00104296, TIME: 49984.2s
STEP [149300], EPOCH [90/100], ITER [1026/1666] 
LOSS: 0.00062682, TIME: 49987.8s
STEP [149320], EPOCH [90/100], ITER [1046/1666] 
LOSS: 0.00055306, TIME: 49991.4s
STEP [149340], EPOCH [90/100], ITER [1066/1666] 
LOSS: 0.00065985, TIME: 49995.0s
STEP [149360], EPOCH [90/100], ITER [1086/1666] 
LOSS: 0.00060981, TIME: 49998.6s
STEP [149380], EPOCH [90/100], ITER [1106/1666] 
LOSS: 0.00056630, TIME: 50002.1s
STEP [149400], EPOCH [90/100], ITER [1126/1666] 
LOSS: 0.00081309, TIME: 50005.7s
STEP [149420], EPOCH [90/100], ITER [1146/1666] 
LOSS: 0.00087368, TIME: 50009.3s
STEP [149440], EPOCH [90/100], ITER [1166/1666] 
LOSS: 0.00071486, TIME: 50012.9s
STEP [149460], EPOCH [90/100], ITER [1186/1666] 
LOSS: 0.00094573, TIME: 50016.5s
STEP [149480], EPOCH [90/100], ITER [1206/1666] 
LOSS: 0.00086918, TIME: 50020.1s
STEP [149500], EPOCH [90/100], ITER [1226/1666] 
LOSS: 0.00120779, TIME: 50023.7s
STEP [149520], EPOCH [90/100], ITER [1246/1666] 
LOSS: 0.00090763, TIME: 50027.2s
STEP [149540], EPOCH [90/100], ITER [1266/1666] 
LOSS: 0.00131756, TIME: 50030.8s
STEP [149560], EPOCH [90/100], ITER [1286/1666] 
LOSS: 0.00071359, TIME: 50034.4s
STEP [149580], EPOCH [90/100], ITER [1306/1666] 
LOSS: 0.00060960, TIME: 50038.0s
STEP [149600], EPOCH [90/100], ITER [1326/1666] 
LOSS: 0.00102302, TIME: 50041.6s
STEP [149620], EPOCH [90/100], ITER [1346/1666] 
LOSS: 0.00065519, TIME: 50045.1s
STEP [149640], EPOCH [90/100], ITER [1366/1666] 
LOSS: 0.00045377, TIME: 50048.7s
STEP [149660], EPOCH [90/100], ITER [1386/1666] 
LOSS: 0.00042321, TIME: 50052.3s
STEP [149680], EPOCH [90/100], ITER [1406/1666] 
LOSS: 0.00060480, TIME: 50055.9s
STEP [149700], EPOCH [90/100], ITER [1426/1666] 
LOSS: 0.00082188, TIME: 50059.5s
STEP [149720], EPOCH [90/100], ITER [1446/1666] 
LOSS: 0.00113928, TIME: 50063.1s
STEP [149740], EPOCH [90/100], ITER [1466/1666] 
LOSS: 0.00047796, TIME: 50066.6s
STEP [149760], EPOCH [90/100], ITER [1486/1666] 
LOSS: 0.00066138, TIME: 50070.2s
STEP [149780], EPOCH [90/100], ITER [1506/1666] 
LOSS: 0.00073875, TIME: 50073.8s
STEP [149800], EPOCH [90/100], ITER [1526/1666] 
LOSS: 0.00106748, TIME: 50077.4s
STEP [149820], EPOCH [90/100], ITER [1546/1666] 
LOSS: 0.00065234, TIME: 50080.9s
STEP [149840], EPOCH [90/100], ITER [1566/1666] 
LOSS: 0.00068987, TIME: 50084.5s
STEP [149860], EPOCH [90/100], ITER [1586/1666] 
LOSS: 0.00104151, TIME: 50088.1s
STEP [149880], EPOCH [90/100], ITER [1606/1666] 
LOSS: 0.00074571, TIME: 50091.7s
STEP [149900], EPOCH [90/100], ITER [1626/1666] 
LOSS: 0.00165368, TIME: 50095.3s
STEP [149920], EPOCH [90/100], ITER [1646/1666] 
LOSS: 0.00072511, TIME: 50098.9s
STEP [149940], EPOCH [90/100], ITER [1666/1666] 
LOSS: 0.00035195, TIME: 50102.4s
STEP [149960], EPOCH [91/100], ITER [20/1666] 
LOSS: 0.00082479, TIME: 50115.3s
STEP [149980], EPOCH [91/100], ITER [40/1666] 
LOSS: 0.00065726, TIME: 50118.8s
STEP [150000], EPOCH [91/100], ITER [60/1666] 
LOSS: 0.00087874, TIME: 50122.4s
STEP [150020], EPOCH [91/100], ITER [80/1666] 
LOSS: 0.00083597, TIME: 50126.0s
STEP [150040], EPOCH [91/100], ITER [100/1666] 
LOSS: 0.00063994, TIME: 50129.5s
STEP [150060], EPOCH [91/100], ITER [120/1666] 
LOSS: 0.00141265, TIME: 50133.1s
STEP [150080], EPOCH [91/100], ITER [140/1666] 
LOSS: 0.00067663, TIME: 50136.7s
STEP [150100], EPOCH [91/100], ITER [160/1666] 
LOSS: 0.00057873, TIME: 50140.3s
STEP [150120], EPOCH [91/100], ITER [180/1666] 
LOSS: 0.00074218, TIME: 50143.8s
STEP [150140], EPOCH [91/100], ITER [200/1666] 
LOSS: 0.00068176, TIME: 50147.5s
STEP [150160], EPOCH [91/100], ITER [220/1666] 
LOSS: 0.00081605, TIME: 50151.1s
STEP [150180], EPOCH [91/100], ITER [240/1666] 
LOSS: 0.00067113, TIME: 50154.6s
STEP [150200], EPOCH [91/100], ITER [260/1666] 
LOSS: 0.00080166, TIME: 50158.2s
STEP [150220], EPOCH [91/100], ITER [280/1666] 
LOSS: 0.00052287, TIME: 50161.8s
STEP [150240], EPOCH [91/100], ITER [300/1666] 
LOSS: 0.00069819, TIME: 50165.4s
STEP [150260], EPOCH [91/100], ITER [320/1666] 
LOSS: 0.00058126, TIME: 50168.9s
STEP [150280], EPOCH [91/100], ITER [340/1666] 
LOSS: 0.00064784, TIME: 50172.6s
STEP [150300], EPOCH [91/100], ITER [360/1666] 
LOSS: 0.00088191, TIME: 50176.1s
STEP [150320], EPOCH [91/100], ITER [380/1666] 
LOSS: 0.00097380, TIME: 50179.7s
STEP [150340], EPOCH [91/100], ITER [400/1666] 
LOSS: 0.00039095, TIME: 50183.3s
STEP [150360], EPOCH [91/100], ITER [420/1666] 
LOSS: 0.00066854, TIME: 50186.9s
STEP [150380], EPOCH [91/100], ITER [440/1666] 
LOSS: 0.00085100, TIME: 50190.4s
STEP [150400], EPOCH [91/100], ITER [460/1666] 
LOSS: 0.00091363, TIME: 50194.0s
STEP [150420], EPOCH [91/100], ITER [480/1666] 
LOSS: 0.00071557, TIME: 50197.6s
STEP [150440], EPOCH [91/100], ITER [500/1666] 
LOSS: 0.00073371, TIME: 50201.2s
STEP [150460], EPOCH [91/100], ITER [520/1666] 
LOSS: 0.00100950, TIME: 50204.8s
STEP [150480], EPOCH [91/100], ITER [540/1666] 
LOSS: 0.00064524, TIME: 50208.4s
STEP [150500], EPOCH [91/100], ITER [560/1666] 
LOSS: 0.00056531, TIME: 50211.9s
STEP [150520], EPOCH [91/100], ITER [580/1666] 
LOSS: 0.00071514, TIME: 50215.5s
STEP [150540], EPOCH [91/100], ITER [600/1666] 
LOSS: 0.00063456, TIME: 50219.1s
STEP [150560], EPOCH [91/100], ITER [620/1666] 
LOSS: 0.00084851, TIME: 50222.7s
STEP [150580], EPOCH [91/100], ITER [640/1666] 
LOSS: 0.00053922, TIME: 50226.3s
STEP [150600], EPOCH [91/100], ITER [660/1666] 
LOSS: 0.00070412, TIME: 50229.9s
STEP [150620], EPOCH [91/100], ITER [680/1666] 
LOSS: 0.00058942, TIME: 50233.5s
STEP [150640], EPOCH [91/100], ITER [700/1666] 
LOSS: 0.00103377, TIME: 50237.0s
STEP [150660], EPOCH [91/100], ITER [720/1666] 
LOSS: 0.00071780, TIME: 50240.6s
STEP [150680], EPOCH [91/100], ITER [740/1666] 
LOSS: 0.00078140, TIME: 50244.2s
STEP [150700], EPOCH [91/100], ITER [760/1666] 
LOSS: 0.00057070, TIME: 50247.8s
STEP [150720], EPOCH [91/100], ITER [780/1666] 
LOSS: 0.00094141, TIME: 50251.3s
STEP [150740], EPOCH [91/100], ITER [800/1666] 
LOSS: 0.00040672, TIME: 50254.9s
STEP [150760], EPOCH [91/100], ITER [820/1666] 
LOSS: 0.00047026, TIME: 50258.5s
STEP [150780], EPOCH [91/100], ITER [840/1666] 
LOSS: 0.00084031, TIME: 50262.1s
STEP [150800], EPOCH [91/100], ITER [860/1666] 
LOSS: 0.00059107, TIME: 50265.7s
STEP [150820], EPOCH [91/100], ITER [880/1666] 
LOSS: 0.00093589, TIME: 50269.2s
STEP [150840], EPOCH [91/100], ITER [900/1666] 
LOSS: 0.00074498, TIME: 50272.8s
STEP [150860], EPOCH [91/100], ITER [920/1666] 
LOSS: 0.00070564, TIME: 50276.4s
STEP [150880], EPOCH [91/100], ITER [940/1666] 
LOSS: 0.00098114, TIME: 50280.0s
STEP [150900], EPOCH [91/100], ITER [960/1666] 
LOSS: 0.00088159, TIME: 50283.6s
STEP [150920], EPOCH [91/100], ITER [980/1666] 
LOSS: 0.00069732, TIME: 50287.2s
STEP [150940], EPOCH [91/100], ITER [1000/1666] 
LOSS: 0.00067231, TIME: 50290.7s
STEP [150960], EPOCH [91/100], ITER [1020/1666] 
LOSS: 0.00067362, TIME: 50294.3s
STEP [150980], EPOCH [91/100], ITER [1040/1666] 
LOSS: 0.00059731, TIME: 50297.9s
STEP [151000], EPOCH [91/100], ITER [1060/1666] 
LOSS: 0.00070289, TIME: 50301.5s
STEP [151020], EPOCH [91/100], ITER [1080/1666] 
LOSS: 0.00070887, TIME: 50305.1s
STEP [151040], EPOCH [91/100], ITER [1100/1666] 
LOSS: 0.00070315, TIME: 50308.6s
STEP [151060], EPOCH [91/100], ITER [1120/1666] 
LOSS: 0.00095647, TIME: 50312.2s
STEP [151080], EPOCH [91/100], ITER [1140/1666] 
LOSS: 0.00114139, TIME: 50315.8s
STEP [151100], EPOCH [91/100], ITER [1160/1666] 
LOSS: 0.00072078, TIME: 50319.4s
STEP [151120], EPOCH [91/100], ITER [1180/1666] 
LOSS: 0.00076984, TIME: 50323.0s
STEP [151140], EPOCH [91/100], ITER [1200/1666] 
LOSS: 0.00121105, TIME: 50326.6s
STEP [151160], EPOCH [91/100], ITER [1220/1666] 
LOSS: 0.00096912, TIME: 50330.1s
STEP [151180], EPOCH [91/100], ITER [1240/1666] 
LOSS: 0.00045022, TIME: 50333.7s
STEP [151200], EPOCH [91/100], ITER [1260/1666] 
LOSS: 0.00078314, TIME: 50337.3s
STEP [151220], EPOCH [91/100], ITER [1280/1666] 
LOSS: 0.00068935, TIME: 50340.9s
STEP [151240], EPOCH [91/100], ITER [1300/1666] 
LOSS: 0.00074205, TIME: 50344.4s
STEP [151260], EPOCH [91/100], ITER [1320/1666] 
LOSS: 0.00041664, TIME: 50348.0s
STEP [151280], EPOCH [91/100], ITER [1340/1666] 
LOSS: 0.00079905, TIME: 50351.6s
STEP [151300], EPOCH [91/100], ITER [1360/1666] 
LOSS: 0.00077976, TIME: 50355.2s
STEP [151320], EPOCH [91/100], ITER [1380/1666] 
LOSS: 0.00088862, TIME: 50358.8s
STEP [151340], EPOCH [91/100], ITER [1400/1666] 
LOSS: 0.00044147, TIME: 50362.3s
STEP [151360], EPOCH [91/100], ITER [1420/1666] 
LOSS: 0.00082790, TIME: 50365.9s
STEP [151380], EPOCH [91/100], ITER [1440/1666] 
LOSS: 0.00090414, TIME: 50369.5s
STEP [151400], EPOCH [91/100], ITER [1460/1666] 
LOSS: 0.00071146, TIME: 50373.1s
STEP [151420], EPOCH [91/100], ITER [1480/1666] 
LOSS: 0.00089676, TIME: 50376.7s
STEP [151440], EPOCH [91/100], ITER [1500/1666] 
LOSS: 0.00080748, TIME: 50380.3s
STEP [151460], EPOCH [91/100], ITER [1520/1666] 
LOSS: 0.00166423, TIME: 50383.8s
STEP [151480], EPOCH [91/100], ITER [1540/1666] 
LOSS: 0.00059782, TIME: 50387.4s
STEP [151500], EPOCH [91/100], ITER [1560/1666] 
LOSS: 0.00090354, TIME: 50391.0s
STEP [151520], EPOCH [91/100], ITER [1580/1666] 
LOSS: 0.00089192, TIME: 50394.6s
STEP [151540], EPOCH [91/100], ITER [1600/1666] 
LOSS: 0.00065070, TIME: 50398.2s
STEP [151560], EPOCH [91/100], ITER [1620/1666] 
LOSS: 0.00075478, TIME: 50401.8s
STEP [151580], EPOCH [91/100], ITER [1640/1666] 
LOSS: 0.00055878, TIME: 50405.4s
STEP [151600], EPOCH [91/100], ITER [1660/1666] 
LOSS: 0.00073158, TIME: 50408.9s
STEP [151620], EPOCH [92/100], ITER [14/1666] 
LOSS: 0.00066008, TIME: 50421.5s
STEP [151640], EPOCH [92/100], ITER [34/1666] 
LOSS: 0.00083678, TIME: 50425.1s
STEP [151660], EPOCH [92/100], ITER [54/1666] 
LOSS: 0.00049949, TIME: 50428.7s
STEP [151680], EPOCH [92/100], ITER [74/1666] 
LOSS: 0.00086131, TIME: 50432.2s
STEP [151700], EPOCH [92/100], ITER [94/1666] 
LOSS: 0.00099230, TIME: 50435.8s
STEP [151720], EPOCH [92/100], ITER [114/1666] 
LOSS: 0.00085242, TIME: 50439.3s
STEP [151740], EPOCH [92/100], ITER [134/1666] 
LOSS: 0.00058814, TIME: 50442.9s
STEP [151760], EPOCH [92/100], ITER [154/1666] 
LOSS: 0.00061055, TIME: 50446.5s
STEP [151780], EPOCH [92/100], ITER [174/1666] 
LOSS: 0.00054597, TIME: 50450.1s
STEP [151800], EPOCH [92/100], ITER [194/1666] 
LOSS: 0.00064632, TIME: 50453.6s
STEP [151820], EPOCH [92/100], ITER [214/1666] 
LOSS: 0.00092063, TIME: 50457.2s
STEP [151840], EPOCH [92/100], ITER [234/1666] 
LOSS: 0.00092770, TIME: 50460.8s
STEP [151860], EPOCH [92/100], ITER [254/1666] 
LOSS: 0.00078976, TIME: 50464.3s
STEP [151880], EPOCH [92/100], ITER [274/1666] 
LOSS: 0.00057984, TIME: 50467.9s
STEP [151900], EPOCH [92/100], ITER [294/1666] 
LOSS: 0.00069744, TIME: 50471.5s
STEP [151920], EPOCH [92/100], ITER [314/1666] 
LOSS: 0.00078468, TIME: 50475.1s
STEP [151940], EPOCH [92/100], ITER [334/1666] 
LOSS: 0.00041211, TIME: 50478.6s
STEP [151960], EPOCH [92/100], ITER [354/1666] 
LOSS: 0.00134509, TIME: 50482.2s
STEP [151980], EPOCH [92/100], ITER [374/1666] 
LOSS: 0.00077934, TIME: 50485.8s
STEP [152000], EPOCH [92/100], ITER [394/1666] 
LOSS: 0.00065213, TIME: 50489.4s
STEP [152020], EPOCH [92/100], ITER [414/1666] 
LOSS: 0.00075376, TIME: 50493.0s
STEP [152040], EPOCH [92/100], ITER [434/1666] 
LOSS: 0.00066095, TIME: 50496.6s
STEP [152060], EPOCH [92/100], ITER [454/1666] 
LOSS: 0.00047378, TIME: 50500.1s
STEP [152080], EPOCH [92/100], ITER [474/1666] 
LOSS: 0.00060293, TIME: 50503.7s
STEP [152100], EPOCH [92/100], ITER [494/1666] 
LOSS: 0.00043395, TIME: 50507.3s
STEP [152120], EPOCH [92/100], ITER [514/1666] 
LOSS: 0.00122838, TIME: 50510.9s
STEP [152140], EPOCH [92/100], ITER [534/1666] 
LOSS: 0.00074752, TIME: 50514.4s
STEP [152160], EPOCH [92/100], ITER [554/1666] 
LOSS: 0.00083784, TIME: 50518.0s
STEP [152180], EPOCH [92/100], ITER [574/1666] 
LOSS: 0.00097979, TIME: 50521.6s
STEP [152200], EPOCH [92/100], ITER [594/1666] 
LOSS: 0.00090442, TIME: 50525.2s
STEP [152220], EPOCH [92/100], ITER [614/1666] 
LOSS: 0.00073093, TIME: 50528.8s
STEP [152240], EPOCH [92/100], ITER [634/1666] 
LOSS: 0.00092194, TIME: 50532.4s
STEP [152260], EPOCH [92/100], ITER [654/1666] 
LOSS: 0.00148068, TIME: 50535.9s
STEP [152280], EPOCH [92/100], ITER [674/1666] 
LOSS: 0.00060736, TIME: 50539.6s
STEP [152300], EPOCH [92/100], ITER [694/1666] 
LOSS: 0.00081591, TIME: 50543.1s
STEP [152320], EPOCH [92/100], ITER [714/1666] 
LOSS: 0.00060440, TIME: 50546.7s
STEP [152340], EPOCH [92/100], ITER [734/1666] 
LOSS: 0.00083601, TIME: 50550.3s
STEP [152360], EPOCH [92/100], ITER [754/1666] 
LOSS: 0.00065335, TIME: 50553.9s
STEP [152380], EPOCH [92/100], ITER [774/1666] 
LOSS: 0.00107569, TIME: 50557.5s
STEP [152400], EPOCH [92/100], ITER [794/1666] 
LOSS: 0.00071623, TIME: 50561.0s
STEP [152420], EPOCH [92/100], ITER [814/1666] 
LOSS: 0.00065146, TIME: 50564.7s
STEP [152440], EPOCH [92/100], ITER [834/1666] 
LOSS: 0.00059618, TIME: 50568.2s
STEP [152460], EPOCH [92/100], ITER [854/1666] 
LOSS: 0.00125358, TIME: 50571.8s
STEP [152480], EPOCH [92/100], ITER [874/1666] 
LOSS: 0.00090072, TIME: 50575.4s
STEP [152500], EPOCH [92/100], ITER [894/1666] 
LOSS: 0.00079277, TIME: 50579.0s
STEP [152520], EPOCH [92/100], ITER [914/1666] 
LOSS: 0.00065563, TIME: 50582.5s
STEP [152540], EPOCH [92/100], ITER [934/1666] 
LOSS: 0.00070294, TIME: 50586.1s
STEP [152560], EPOCH [92/100], ITER [954/1666] 
LOSS: 0.00068919, TIME: 50589.7s
STEP [152580], EPOCH [92/100], ITER [974/1666] 
LOSS: 0.00107531, TIME: 50593.3s
STEP [152600], EPOCH [92/100], ITER [994/1666] 
LOSS: 0.00087624, TIME: 50596.9s
STEP [152620], EPOCH [92/100], ITER [1014/1666] 
LOSS: 0.00080966, TIME: 50600.5s
STEP [152640], EPOCH [92/100], ITER [1034/1666] 
LOSS: 0.00056142, TIME: 50604.0s
STEP [152660], EPOCH [92/100], ITER [1054/1666] 
LOSS: 0.00055900, TIME: 50607.6s
STEP [152680], EPOCH [92/100], ITER [1074/1666] 
LOSS: 0.00100792, TIME: 50611.2s
STEP [152700], EPOCH [92/100], ITER [1094/1666] 
LOSS: 0.00067164, TIME: 50614.8s
STEP [152720], EPOCH [92/100], ITER [1114/1666] 
LOSS: 0.00079474, TIME: 50618.4s
STEP [152740], EPOCH [92/100], ITER [1134/1666] 
LOSS: 0.00058205, TIME: 50621.9s
STEP [152760], EPOCH [92/100], ITER [1154/1666] 
LOSS: 0.00138634, TIME: 50625.5s
STEP [152780], EPOCH [92/100], ITER [1174/1666] 
LOSS: 0.00078319, TIME: 50629.1s
STEP [152800], EPOCH [92/100], ITER [1194/1666] 
LOSS: 0.00069699, TIME: 50632.7s
STEP [152820], EPOCH [92/100], ITER [1214/1666] 
LOSS: 0.00067345, TIME: 50636.3s
STEP [152840], EPOCH [92/100], ITER [1234/1666] 
LOSS: 0.00051276, TIME: 50639.8s
STEP [152860], EPOCH [92/100], ITER [1254/1666] 
LOSS: 0.00075516, TIME: 50643.4s
STEP [152880], EPOCH [92/100], ITER [1274/1666] 
LOSS: 0.00064440, TIME: 50647.0s
STEP [152900], EPOCH [92/100], ITER [1294/1666] 
LOSS: 0.00059217, TIME: 50650.6s
STEP [152920], EPOCH [92/100], ITER [1314/1666] 
LOSS: 0.00041248, TIME: 50654.2s
STEP [152940], EPOCH [92/100], ITER [1334/1666] 
LOSS: 0.00091351, TIME: 50657.8s
STEP [152960], EPOCH [92/100], ITER [1354/1666] 
LOSS: 0.00073986, TIME: 50661.3s
STEP [152980], EPOCH [92/100], ITER [1374/1666] 
LOSS: 0.00084215, TIME: 50664.9s
STEP [153000], EPOCH [92/100], ITER [1394/1666] 
LOSS: 0.00069322, TIME: 50668.5s
STEP [153020], EPOCH [92/100], ITER [1414/1666] 
LOSS: 0.00122882, TIME: 50672.1s
STEP [153040], EPOCH [92/100], ITER [1434/1666] 
LOSS: 0.00061124, TIME: 50675.7s
STEP [153060], EPOCH [92/100], ITER [1454/1666] 
LOSS: 0.00114360, TIME: 50679.3s
STEP [153080], EPOCH [92/100], ITER [1474/1666] 
LOSS: 0.00052334, TIME: 50682.9s
STEP [153100], EPOCH [92/100], ITER [1494/1666] 
LOSS: 0.00083227, TIME: 50686.5s
STEP [153120], EPOCH [92/100], ITER [1514/1666] 
LOSS: 0.00078491, TIME: 50690.0s
STEP [153140], EPOCH [92/100], ITER [1534/1666] 
LOSS: 0.00035592, TIME: 50693.6s
STEP [153160], EPOCH [92/100], ITER [1554/1666] 
LOSS: 0.00087017, TIME: 50697.2s
STEP [153180], EPOCH [92/100], ITER [1574/1666] 
LOSS: 0.00047373, TIME: 50700.8s
STEP [153200], EPOCH [92/100], ITER [1594/1666] 
LOSS: 0.00067446, TIME: 50704.4s
STEP [153220], EPOCH [92/100], ITER [1614/1666] 
LOSS: 0.00051849, TIME: 50708.0s
STEP [153240], EPOCH [92/100], ITER [1634/1666] 
LOSS: 0.00054785, TIME: 50711.6s
STEP [153260], EPOCH [92/100], ITER [1654/1666] 
LOSS: 0.00100563, TIME: 50715.2s
STEP [153280], EPOCH [93/100], ITER [8/1666] 
LOSS: 0.00061435, TIME: 50727.8s
STEP [153300], EPOCH [93/100], ITER [28/1666] 
LOSS: 0.00065414, TIME: 50731.4s
STEP [153320], EPOCH [93/100], ITER [48/1666] 
LOSS: 0.00070237, TIME: 50734.9s
STEP [153340], EPOCH [93/100], ITER [68/1666] 
LOSS: 0.00058509, TIME: 50738.5s
STEP [153360], EPOCH [93/100], ITER [88/1666] 
LOSS: 0.00086036, TIME: 50742.1s
STEP [153380], EPOCH [93/100], ITER [108/1666] 
LOSS: 0.00085185, TIME: 50745.6s
STEP [153400], EPOCH [93/100], ITER [128/1666] 
LOSS: 0.00056878, TIME: 50749.2s
STEP [153420], EPOCH [93/100], ITER [148/1666] 
LOSS: 0.00069368, TIME: 50752.8s
STEP [153440], EPOCH [93/100], ITER [168/1666] 
LOSS: 0.00077298, TIME: 50756.3s
STEP [153460], EPOCH [93/100], ITER [188/1666] 
LOSS: 0.00051679, TIME: 50759.9s
STEP [153480], EPOCH [93/100], ITER [208/1666] 
LOSS: 0.00062737, TIME: 50763.5s
STEP [153500], EPOCH [93/100], ITER [228/1666] 
LOSS: 0.00047839, TIME: 50767.1s
STEP [153520], EPOCH [93/100], ITER [248/1666] 
LOSS: 0.00093273, TIME: 50770.7s
STEP [153540], EPOCH [93/100], ITER [268/1666] 
LOSS: 0.00091007, TIME: 50774.2s
STEP [153560], EPOCH [93/100], ITER [288/1666] 
LOSS: 0.00095535, TIME: 50777.8s
STEP [153580], EPOCH [93/100], ITER [308/1666] 
LOSS: 0.00030438, TIME: 50781.4s
STEP [153600], EPOCH [93/100], ITER [328/1666] 
LOSS: 0.00062449, TIME: 50785.0s
STEP [153620], EPOCH [93/100], ITER [348/1666] 
LOSS: 0.00070803, TIME: 50788.6s
STEP [153640], EPOCH [93/100], ITER [368/1666] 
LOSS: 0.00072625, TIME: 50792.2s
STEP [153660], EPOCH [93/100], ITER [388/1666] 
LOSS: 0.00074280, TIME: 50795.8s
STEP [153680], EPOCH [93/100], ITER [408/1666] 
LOSS: 0.00120570, TIME: 50799.3s
STEP [153700], EPOCH [93/100], ITER [428/1666] 
LOSS: 0.00060061, TIME: 50802.9s
STEP [153720], EPOCH [93/100], ITER [448/1666] 
LOSS: 0.00130622, TIME: 50806.5s
STEP [153740], EPOCH [93/100], ITER [468/1666] 
LOSS: 0.00052394, TIME: 50810.1s
STEP [153760], EPOCH [93/100], ITER [488/1666] 
LOSS: 0.00078303, TIME: 50813.7s
STEP [153780], EPOCH [93/100], ITER [508/1666] 
LOSS: 0.00050073, TIME: 50817.3s
STEP [153800], EPOCH [93/100], ITER [528/1666] 
LOSS: 0.00075357, TIME: 50820.8s
STEP [153820], EPOCH [93/100], ITER [548/1666] 
LOSS: 0.00091451, TIME: 50824.4s
STEP [153840], EPOCH [93/100], ITER [568/1666] 
LOSS: 0.00104132, TIME: 50828.0s
STEP [153860], EPOCH [93/100], ITER [588/1666] 
LOSS: 0.00093448, TIME: 50831.6s
STEP [153880], EPOCH [93/100], ITER [608/1666] 
LOSS: 0.00060814, TIME: 50835.2s
STEP [153900], EPOCH [93/100], ITER [628/1666] 
LOSS: 0.00048741, TIME: 50838.8s
STEP [153920], EPOCH [93/100], ITER [648/1666] 
LOSS: 0.00076302, TIME: 50842.3s
STEP [153940], EPOCH [93/100], ITER [668/1666] 
LOSS: 0.00156682, TIME: 50845.9s
STEP [153960], EPOCH [93/100], ITER [688/1666] 
LOSS: 0.00079624, TIME: 50849.5s
STEP [153980], EPOCH [93/100], ITER [708/1666] 
LOSS: 0.00082410, TIME: 50853.1s
STEP [154000], EPOCH [93/100], ITER [728/1666] 
LOSS: 0.00066344, TIME: 50856.7s
STEP [154020], EPOCH [93/100], ITER [748/1666] 
LOSS: 0.00092767, TIME: 50860.3s
STEP [154040], EPOCH [93/100], ITER [768/1666] 
LOSS: 0.00059889, TIME: 50863.9s
STEP [154060], EPOCH [93/100], ITER [788/1666] 
LOSS: 0.00093918, TIME: 50867.5s
STEP [154080], EPOCH [93/100], ITER [808/1666] 
LOSS: 0.00081657, TIME: 50871.0s
STEP [154100], EPOCH [93/100], ITER [828/1666] 
LOSS: 0.00115279, TIME: 50874.6s
STEP [154120], EPOCH [93/100], ITER [848/1666] 
LOSS: 0.00053909, TIME: 50878.2s
STEP [154140], EPOCH [93/100], ITER [868/1666] 
LOSS: 0.00094602, TIME: 50881.8s
STEP [154160], EPOCH [93/100], ITER [888/1666] 
LOSS: 0.00092158, TIME: 50885.4s
STEP [154180], EPOCH [93/100], ITER [908/1666] 
LOSS: 0.00058387, TIME: 50889.0s
STEP [154200], EPOCH [93/100], ITER [928/1666] 
LOSS: 0.00077728, TIME: 50892.6s
STEP [154220], EPOCH [93/100], ITER [948/1666] 
LOSS: 0.00081906, TIME: 50896.1s
STEP [154240], EPOCH [93/100], ITER [968/1666] 
LOSS: 0.00079292, TIME: 50899.7s
STEP [154260], EPOCH [93/100], ITER [988/1666] 
LOSS: 0.00086149, TIME: 50903.3s
STEP [154280], EPOCH [93/100], ITER [1008/1666] 
LOSS: 0.00045049, TIME: 50906.9s
STEP [154300], EPOCH [93/100], ITER [1028/1666] 
LOSS: 0.00067560, TIME: 50910.5s
STEP [154320], EPOCH [93/100], ITER [1048/1666] 
LOSS: 0.00084364, TIME: 50914.1s
STEP [154340], EPOCH [93/100], ITER [1068/1666] 
LOSS: 0.00077890, TIME: 50917.7s
STEP [154360], EPOCH [93/100], ITER [1088/1666] 
LOSS: 0.00050124, TIME: 50921.2s
STEP [154380], EPOCH [93/100], ITER [1108/1666] 
LOSS: 0.00052747, TIME: 50924.8s
STEP [154400], EPOCH [93/100], ITER [1128/1666] 
LOSS: 0.00086921, TIME: 50928.4s
STEP [154420], EPOCH [93/100], ITER [1148/1666] 
LOSS: 0.00074054, TIME: 50932.0s
STEP [154440], EPOCH [93/100], ITER [1168/1666] 
LOSS: 0.00079717, TIME: 50935.5s
STEP [154460], EPOCH [93/100], ITER [1188/1666] 
LOSS: 0.00043053, TIME: 50939.1s
STEP [154480], EPOCH [93/100], ITER [1208/1666] 
LOSS: 0.00088020, TIME: 50942.7s
STEP [154500], EPOCH [93/100], ITER [1228/1666] 
LOSS: 0.00094881, TIME: 50946.3s
STEP [154520], EPOCH [93/100], ITER [1248/1666] 
LOSS: 0.00084561, TIME: 50949.9s
STEP [154540], EPOCH [93/100], ITER [1268/1666] 
LOSS: 0.00043425, TIME: 50953.5s
STEP [154560], EPOCH [93/100], ITER [1288/1666] 
LOSS: 0.00076369, TIME: 50957.0s
STEP [154580], EPOCH [93/100], ITER [1308/1666] 
LOSS: 0.00085965, TIME: 50960.6s
STEP [154600], EPOCH [93/100], ITER [1328/1666] 
LOSS: 0.00055178, TIME: 50964.2s
STEP [154620], EPOCH [93/100], ITER [1348/1666] 
LOSS: 0.00075445, TIME: 50967.8s
STEP [154640], EPOCH [93/100], ITER [1368/1666] 
LOSS: 0.00082583, TIME: 50971.4s
STEP [154660], EPOCH [93/100], ITER [1388/1666] 
LOSS: 0.00077453, TIME: 50975.0s
STEP [154680], EPOCH [93/100], ITER [1408/1666] 
LOSS: 0.00058458, TIME: 50978.6s
STEP [154700], EPOCH [93/100], ITER [1428/1666] 
LOSS: 0.00077841, TIME: 50982.1s
STEP [154720], EPOCH [93/100], ITER [1448/1666] 
LOSS: 0.00060413, TIME: 50985.7s
STEP [154740], EPOCH [93/100], ITER [1468/1666] 
LOSS: 0.00052120, TIME: 50989.3s
STEP [154760], EPOCH [93/100], ITER [1488/1666] 
LOSS: 0.00101376, TIME: 50992.9s
STEP [154780], EPOCH [93/100], ITER [1508/1666] 
LOSS: 0.00082945, TIME: 50996.4s
STEP [154800], EPOCH [93/100], ITER [1528/1666] 
LOSS: 0.00121172, TIME: 51000.0s
STEP [154820], EPOCH [93/100], ITER [1548/1666] 
LOSS: 0.00045926, TIME: 51003.6s
STEP [154840], EPOCH [93/100], ITER [1568/1666] 
LOSS: 0.00079389, TIME: 51007.2s
STEP [154860], EPOCH [93/100], ITER [1588/1666] 
LOSS: 0.00060584, TIME: 51010.8s
STEP [154880], EPOCH [93/100], ITER [1608/1666] 
LOSS: 0.00107795, TIME: 51014.4s
STEP [154900], EPOCH [93/100], ITER [1628/1666] 
LOSS: 0.00074285, TIME: 51017.9s
STEP [154920], EPOCH [93/100], ITER [1648/1666] 
LOSS: 0.00079798, TIME: 51021.5s
STEP [154940], EPOCH [94/100], ITER [2/1666] 
LOSS: 0.00065315, TIME: 51034.0s
STEP [154960], EPOCH [94/100], ITER [22/1666] 
LOSS: 0.00100621, TIME: 51037.5s
STEP [154980], EPOCH [94/100], ITER [42/1666] 
LOSS: 0.00086785, TIME: 51041.1s
STEP [155000], EPOCH [94/100], ITER [62/1666] 
LOSS: 0.00069479, TIME: 51044.7s
STEP [155020], EPOCH [94/100], ITER [82/1666] 
LOSS: 0.00057252, TIME: 51048.3s
STEP [155040], EPOCH [94/100], ITER [102/1666] 
LOSS: 0.00065315, TIME: 51051.8s
STEP [155060], EPOCH [94/100], ITER [122/1666] 
LOSS: 0.00113275, TIME: 51055.4s
STEP [155080], EPOCH [94/100], ITER [142/1666] 
LOSS: 0.00105193, TIME: 51059.0s
STEP [155100], EPOCH [94/100], ITER [162/1666] 
LOSS: 0.00151193, TIME: 51062.6s
STEP [155120], EPOCH [94/100], ITER [182/1666] 
LOSS: 0.00088255, TIME: 51066.1s
STEP [155140], EPOCH [94/100], ITER [202/1666] 
LOSS: 0.00144948, TIME: 51069.7s
STEP [155160], EPOCH [94/100], ITER [222/1666] 
LOSS: 0.00074093, TIME: 51073.3s
STEP [155180], EPOCH [94/100], ITER [242/1666] 
LOSS: 0.00070072, TIME: 51076.8s
STEP [155200], EPOCH [94/100], ITER [262/1666] 
LOSS: 0.00079328, TIME: 51080.4s
STEP [155220], EPOCH [94/100], ITER [282/1666] 
LOSS: 0.00097695, TIME: 51084.0s
STEP [155240], EPOCH [94/100], ITER [302/1666] 
LOSS: 0.00099467, TIME: 51087.6s
STEP [155260], EPOCH [94/100], ITER [322/1666] 
LOSS: 0.00074135, TIME: 51091.2s
STEP [155280], EPOCH [94/100], ITER [342/1666] 
LOSS: 0.00155670, TIME: 51094.8s
STEP [155300], EPOCH [94/100], ITER [362/1666] 
LOSS: 0.00053037, TIME: 51098.3s
STEP [155320], EPOCH [94/100], ITER [382/1666] 
LOSS: 0.00081600, TIME: 51101.9s
STEP [155340], EPOCH [94/100], ITER [402/1666] 
LOSS: 0.00087904, TIME: 51105.5s
STEP [155360], EPOCH [94/100], ITER [422/1666] 
LOSS: 0.00088181, TIME: 51109.1s
STEP [155380], EPOCH [94/100], ITER [442/1666] 
LOSS: 0.00072277, TIME: 51112.7s
STEP [155400], EPOCH [94/100], ITER [462/1666] 
LOSS: 0.00099245, TIME: 51116.3s
STEP [155420], EPOCH [94/100], ITER [482/1666] 
LOSS: 0.00071723, TIME: 51119.8s
STEP [155440], EPOCH [94/100], ITER [502/1666] 
LOSS: 0.00063562, TIME: 51123.4s
STEP [155460], EPOCH [94/100], ITER [522/1666] 
LOSS: 0.00079207, TIME: 51127.0s
STEP [155480], EPOCH [94/100], ITER [542/1666] 
LOSS: 0.00110749, TIME: 51130.6s
STEP [155500], EPOCH [94/100], ITER [562/1666] 
LOSS: 0.00076981, TIME: 51134.1s
STEP [155520], EPOCH [94/100], ITER [582/1666] 
LOSS: 0.00066943, TIME: 51137.7s
STEP [155540], EPOCH [94/100], ITER [602/1666] 
LOSS: 0.00060433, TIME: 51141.3s
STEP [155560], EPOCH [94/100], ITER [622/1666] 
LOSS: 0.00073563, TIME: 51144.9s
STEP [155580], EPOCH [94/100], ITER [642/1666] 
LOSS: 0.00062926, TIME: 51148.5s
STEP [155600], EPOCH [94/100], ITER [662/1666] 
LOSS: 0.00088068, TIME: 51152.1s
STEP [155620], EPOCH [94/100], ITER [682/1666] 
LOSS: 0.00086526, TIME: 51155.6s
STEP [155640], EPOCH [94/100], ITER [702/1666] 
LOSS: 0.00148460, TIME: 51159.2s
STEP [155660], EPOCH [94/100], ITER [722/1666] 
LOSS: 0.00085976, TIME: 51162.8s
STEP [155680], EPOCH [94/100], ITER [742/1666] 
LOSS: 0.00080556, TIME: 51166.4s
STEP [155700], EPOCH [94/100], ITER [762/1666] 
LOSS: 0.00074955, TIME: 51170.0s
STEP [155720], EPOCH [94/100], ITER [782/1666] 
LOSS: 0.00057006, TIME: 51173.6s
STEP [155740], EPOCH [94/100], ITER [802/1666] 
LOSS: 0.00079685, TIME: 51177.1s
STEP [155760], EPOCH [94/100], ITER [822/1666] 
LOSS: 0.00094928, TIME: 51180.7s
STEP [155780], EPOCH [94/100], ITER [842/1666] 
LOSS: 0.00124986, TIME: 51184.3s
STEP [155800], EPOCH [94/100], ITER [862/1666] 
LOSS: 0.00060537, TIME: 51187.9s
STEP [155820], EPOCH [94/100], ITER [882/1666] 
LOSS: 0.00124525, TIME: 51191.5s
STEP [155840], EPOCH [94/100], ITER [902/1666] 
LOSS: 0.00080004, TIME: 51195.0s
STEP [155860], EPOCH [94/100], ITER [922/1666] 
LOSS: 0.00063273, TIME: 51198.6s
STEP [155880], EPOCH [94/100], ITER [942/1666] 
LOSS: 0.00085034, TIME: 51202.2s
STEP [155900], EPOCH [94/100], ITER [962/1666] 
LOSS: 0.00069298, TIME: 51205.8s
STEP [155920], EPOCH [94/100], ITER [982/1666] 
LOSS: 0.00109443, TIME: 51209.4s
STEP [155940], EPOCH [94/100], ITER [1002/1666] 
LOSS: 0.00050680, TIME: 51212.9s
STEP [155960], EPOCH [94/100], ITER [1022/1666] 
LOSS: 0.00128390, TIME: 51216.5s
STEP [155980], EPOCH [94/100], ITER [1042/1666] 
LOSS: 0.00095487, TIME: 51220.1s
STEP [156000], EPOCH [94/100], ITER [1062/1666] 
LOSS: 0.00061171, TIME: 51223.7s
STEP [156020], EPOCH [94/100], ITER [1082/1666] 
LOSS: 0.00059329, TIME: 51227.3s
STEP [156040], EPOCH [94/100], ITER [1102/1666] 
LOSS: 0.00076525, TIME: 51230.9s
STEP [156060], EPOCH [94/100], ITER [1122/1666] 
LOSS: 0.00083976, TIME: 51234.5s
STEP [156080], EPOCH [94/100], ITER [1142/1666] 
LOSS: 0.00116692, TIME: 51238.1s
STEP [156100], EPOCH [94/100], ITER [1162/1666] 
LOSS: 0.00041889, TIME: 51241.7s
STEP [156120], EPOCH [94/100], ITER [1182/1666] 
LOSS: 0.00070006, TIME: 51245.3s
STEP [156140], EPOCH [94/100], ITER [1202/1666] 
LOSS: 0.00092589, TIME: 51248.8s
STEP [156160], EPOCH [94/100], ITER [1222/1666] 
LOSS: 0.00056984, TIME: 51252.4s
STEP [156180], EPOCH [94/100], ITER [1242/1666] 
LOSS: 0.00073566, TIME: 51256.0s
STEP [156200], EPOCH [94/100], ITER [1262/1666] 
LOSS: 0.00094212, TIME: 51259.6s
STEP [156220], EPOCH [94/100], ITER [1282/1666] 
LOSS: 0.00125483, TIME: 51263.2s
STEP [156240], EPOCH [94/100], ITER [1302/1666] 
LOSS: 0.00083511, TIME: 51266.8s
STEP [156260], EPOCH [94/100], ITER [1322/1666] 
LOSS: 0.00091774, TIME: 51270.4s
STEP [156280], EPOCH [94/100], ITER [1342/1666] 
LOSS: 0.00089287, TIME: 51274.0s
STEP [156300], EPOCH [94/100], ITER [1362/1666] 
LOSS: 0.00083752, TIME: 51277.6s
STEP [156320], EPOCH [94/100], ITER [1382/1666] 
LOSS: 0.00078516, TIME: 51281.1s
STEP [156340], EPOCH [94/100], ITER [1402/1666] 
LOSS: 0.00144815, TIME: 51284.7s
STEP [156360], EPOCH [94/100], ITER [1422/1666] 
LOSS: 0.00058822, TIME: 51288.3s
STEP [156380], EPOCH [94/100], ITER [1442/1666] 
LOSS: 0.00096935, TIME: 51291.9s
STEP [156400], EPOCH [94/100], ITER [1462/1666] 
LOSS: 0.00058342, TIME: 51295.5s
STEP [156420], EPOCH [94/100], ITER [1482/1666] 
LOSS: 0.00085530, TIME: 51299.1s
STEP [156440], EPOCH [94/100], ITER [1502/1666] 
LOSS: 0.00076985, TIME: 51302.7s
STEP [156460], EPOCH [94/100], ITER [1522/1666] 
LOSS: 0.00045247, TIME: 51306.3s
STEP [156480], EPOCH [94/100], ITER [1542/1666] 
LOSS: 0.00084822, TIME: 51309.9s
STEP [156500], EPOCH [94/100], ITER [1562/1666] 
LOSS: 0.00044018, TIME: 51313.5s
STEP [156520], EPOCH [94/100], ITER [1582/1666] 
LOSS: 0.00072925, TIME: 51317.0s
STEP [156540], EPOCH [94/100], ITER [1602/1666] 
LOSS: 0.00076195, TIME: 51320.6s
STEP [156560], EPOCH [94/100], ITER [1622/1666] 
LOSS: 0.00092300, TIME: 51324.2s
STEP [156580], EPOCH [94/100], ITER [1642/1666] 
LOSS: 0.00041413, TIME: 51327.8s
STEP [156600], EPOCH [94/100], ITER [1662/1666] 
LOSS: 0.00077894, TIME: 51331.4s
STEP [156620], EPOCH [95/100], ITER [16/1666] 
LOSS: 0.00054530, TIME: 51344.0s
STEP [156640], EPOCH [95/100], ITER [36/1666] 
LOSS: 0.00066389, TIME: 51347.5s
STEP [156660], EPOCH [95/100], ITER [56/1666] 
LOSS: 0.00070275, TIME: 51351.1s
STEP [156680], EPOCH [95/100], ITER [76/1666] 
LOSS: 0.00069460, TIME: 51354.6s
STEP [156700], EPOCH [95/100], ITER [96/1666] 
LOSS: 0.00073989, TIME: 51358.2s
STEP [156720], EPOCH [95/100], ITER [116/1666] 
LOSS: 0.00072723, TIME: 51361.8s
STEP [156740], EPOCH [95/100], ITER [136/1666] 
LOSS: 0.00071061, TIME: 51365.4s
STEP [156760], EPOCH [95/100], ITER [156/1666] 
LOSS: 0.00052936, TIME: 51369.0s
STEP [156780], EPOCH [95/100], ITER [176/1666] 
LOSS: 0.00051198, TIME: 51372.5s
STEP [156800], EPOCH [95/100], ITER [196/1666] 
LOSS: 0.00064671, TIME: 51376.1s
STEP [156820], EPOCH [95/100], ITER [216/1666] 
LOSS: 0.00052704, TIME: 51379.7s
STEP [156840], EPOCH [95/100], ITER [236/1666] 
LOSS: 0.00078678, TIME: 51383.2s
STEP [156860], EPOCH [95/100], ITER [256/1666] 
LOSS: 0.00071669, TIME: 51386.8s
STEP [156880], EPOCH [95/100], ITER [276/1666] 
LOSS: 0.00052226, TIME: 51390.4s
STEP [156900], EPOCH [95/100], ITER [296/1666] 
LOSS: 0.00064860, TIME: 51393.9s
STEP [156920], EPOCH [95/100], ITER [316/1666] 
LOSS: 0.00038617, TIME: 51397.5s
STEP [156940], EPOCH [95/100], ITER [336/1666] 
LOSS: 0.00069278, TIME: 51401.1s
STEP [156960], EPOCH [95/100], ITER [356/1666] 
LOSS: 0.00074648, TIME: 51404.7s
STEP [156980], EPOCH [95/100], ITER [376/1666] 
LOSS: 0.00115715, TIME: 51408.2s
STEP [157000], EPOCH [95/100], ITER [396/1666] 
LOSS: 0.00084216, TIME: 51411.8s
STEP [157020], EPOCH [95/100], ITER [416/1666] 
LOSS: 0.00066256, TIME: 51415.4s
STEP [157040], EPOCH [95/100], ITER [436/1666] 
LOSS: 0.00087111, TIME: 51419.0s
STEP [157060], EPOCH [95/100], ITER [456/1666] 
LOSS: 0.00077004, TIME: 51422.6s
STEP [157080], EPOCH [95/100], ITER [476/1666] 
LOSS: 0.00045892, TIME: 51426.1s
STEP [157100], EPOCH [95/100], ITER [496/1666] 
LOSS: 0.00057040, TIME: 51429.7s
STEP [157120], EPOCH [95/100], ITER [516/1666] 
LOSS: 0.00084883, TIME: 51433.3s
STEP [157140], EPOCH [95/100], ITER [536/1666] 
LOSS: 0.00040601, TIME: 51436.9s
STEP [157160], EPOCH [95/100], ITER [556/1666] 
LOSS: 0.00093632, TIME: 51440.5s
STEP [157180], EPOCH [95/100], ITER [576/1666] 
LOSS: 0.00065390, TIME: 51444.0s
STEP [157200], EPOCH [95/100], ITER [596/1666] 
LOSS: 0.00102204, TIME: 51447.6s
STEP [157220], EPOCH [95/100], ITER [616/1666] 
LOSS: 0.00063944, TIME: 51451.2s
STEP [157240], EPOCH [95/100], ITER [636/1666] 
LOSS: 0.00075476, TIME: 51454.8s
STEP [157260], EPOCH [95/100], ITER [656/1666] 
LOSS: 0.00123119, TIME: 51458.3s
STEP [157280], EPOCH [95/100], ITER [676/1666] 
LOSS: 0.00079439, TIME: 51461.9s
STEP [157300], EPOCH [95/100], ITER [696/1666] 
LOSS: 0.00080500, TIME: 51465.5s
STEP [157320], EPOCH [95/100], ITER [716/1666] 
LOSS: 0.00079676, TIME: 51469.1s
STEP [157340], EPOCH [95/100], ITER [736/1666] 
LOSS: 0.00052112, TIME: 51472.6s
STEP [157360], EPOCH [95/100], ITER [756/1666] 
LOSS: 0.00082519, TIME: 51476.2s
STEP [157380], EPOCH [95/100], ITER [776/1666] 
LOSS: 0.00078469, TIME: 51479.8s
STEP [157400], EPOCH [95/100], ITER [796/1666] 
LOSS: 0.00066297, TIME: 51483.4s
STEP [157420], EPOCH [95/100], ITER [816/1666] 
LOSS: 0.00078106, TIME: 51486.9s
STEP [157440], EPOCH [95/100], ITER [836/1666] 
LOSS: 0.00068939, TIME: 51490.5s
STEP [157460], EPOCH [95/100], ITER [856/1666] 
LOSS: 0.00073285, TIME: 51494.1s
STEP [157480], EPOCH [95/100], ITER [876/1666] 
LOSS: 0.00043067, TIME: 51497.7s
STEP [157500], EPOCH [95/100], ITER [896/1666] 
LOSS: 0.00058641, TIME: 51501.3s
STEP [157520], EPOCH [95/100], ITER [916/1666] 
LOSS: 0.00063752, TIME: 51504.8s
STEP [157540], EPOCH [95/100], ITER [936/1666] 
LOSS: 0.00078684, TIME: 51508.4s
STEP [157560], EPOCH [95/100], ITER [956/1666] 
LOSS: 0.00071458, TIME: 51512.0s
STEP [157580], EPOCH [95/100], ITER [976/1666] 
LOSS: 0.00079447, TIME: 51515.6s
STEP [157600], EPOCH [95/100], ITER [996/1666] 
LOSS: 0.00065811, TIME: 51519.2s
STEP [157620], EPOCH [95/100], ITER [1016/1666] 
LOSS: 0.00074571, TIME: 51522.8s
STEP [157640], EPOCH [95/100], ITER [1036/1666] 
LOSS: 0.00051097, TIME: 51526.3s
STEP [157660], EPOCH [95/100], ITER [1056/1666] 
LOSS: 0.00101237, TIME: 51529.9s
STEP [157680], EPOCH [95/100], ITER [1076/1666] 
LOSS: 0.00104972, TIME: 51533.5s
STEP [157700], EPOCH [95/100], ITER [1096/1666] 
LOSS: 0.00097876, TIME: 51537.1s
STEP [157720], EPOCH [95/100], ITER [1116/1666] 
LOSS: 0.00076458, TIME: 51540.7s
STEP [157740], EPOCH [95/100], ITER [1136/1666] 
LOSS: 0.00043367, TIME: 51544.3s
STEP [157760], EPOCH [95/100], ITER [1156/1666] 
LOSS: 0.00110404, TIME: 51547.9s
STEP [157780], EPOCH [95/100], ITER [1176/1666] 
LOSS: 0.00089447, TIME: 51551.4s
STEP [157800], EPOCH [95/100], ITER [1196/1666] 
LOSS: 0.00093934, TIME: 51555.0s
STEP [157820], EPOCH [95/100], ITER [1216/1666] 
LOSS: 0.00086501, TIME: 51558.6s
STEP [157840], EPOCH [95/100], ITER [1236/1666] 
LOSS: 0.00071408, TIME: 51562.2s
STEP [157860], EPOCH [95/100], ITER [1256/1666] 
LOSS: 0.00098577, TIME: 51565.8s
STEP [157880], EPOCH [95/100], ITER [1276/1666] 
LOSS: 0.00097186, TIME: 51569.3s
STEP [157900], EPOCH [95/100], ITER [1296/1666] 
LOSS: 0.00063151, TIME: 51572.9s
STEP [157920], EPOCH [95/100], ITER [1316/1666] 
LOSS: 0.00042359, TIME: 51576.5s
STEP [157940], EPOCH [95/100], ITER [1336/1666] 
LOSS: 0.00097820, TIME: 51580.1s
STEP [157960], EPOCH [95/100], ITER [1356/1666] 
LOSS: 0.00059633, TIME: 51583.7s
STEP [157980], EPOCH [95/100], ITER [1376/1666] 
LOSS: 0.00085734, TIME: 51587.2s
STEP [158000], EPOCH [95/100], ITER [1396/1666] 
LOSS: 0.00063464, TIME: 51590.8s
STEP [158020], EPOCH [95/100], ITER [1416/1666] 
LOSS: 0.00065366, TIME: 51594.4s
STEP [158040], EPOCH [95/100], ITER [1436/1666] 
LOSS: 0.00040343, TIME: 51598.0s
STEP [158060], EPOCH [95/100], ITER [1456/1666] 
LOSS: 0.00054810, TIME: 51601.6s
STEP [158080], EPOCH [95/100], ITER [1476/1666] 
LOSS: 0.00056399, TIME: 51605.2s
STEP [158100], EPOCH [95/100], ITER [1496/1666] 
LOSS: 0.00077852, TIME: 51608.8s
STEP [158120], EPOCH [95/100], ITER [1516/1666] 
LOSS: 0.00082597, TIME: 51612.4s
STEP [158140], EPOCH [95/100], ITER [1536/1666] 
LOSS: 0.00045247, TIME: 51615.9s
STEP [158160], EPOCH [95/100], ITER [1556/1666] 
LOSS: 0.00086835, TIME: 51619.5s
STEP [158180], EPOCH [95/100], ITER [1576/1666] 
LOSS: 0.00075646, TIME: 51623.1s
STEP [158200], EPOCH [95/100], ITER [1596/1666] 
LOSS: 0.00051073, TIME: 51626.7s
STEP [158220], EPOCH [95/100], ITER [1616/1666] 
LOSS: 0.00066423, TIME: 51630.2s
STEP [158240], EPOCH [95/100], ITER [1636/1666] 
LOSS: 0.00095731, TIME: 51633.8s
STEP [158260], EPOCH [95/100], ITER [1656/1666] 
LOSS: 0.00063490, TIME: 51637.4s
STEP [158280], EPOCH [96/100], ITER [10/1666] 
LOSS: 0.00074525, TIME: 51650.1s
STEP [158300], EPOCH [96/100], ITER [30/1666] 
LOSS: 0.00064569, TIME: 51653.6s
STEP [158320], EPOCH [96/100], ITER [50/1666] 
LOSS: 0.00073125, TIME: 51657.2s
STEP [158340], EPOCH [96/100], ITER [70/1666] 
LOSS: 0.00073567, TIME: 51660.8s
STEP [158360], EPOCH [96/100], ITER [90/1666] 
LOSS: 0.00050526, TIME: 51664.3s
STEP [158380], EPOCH [96/100], ITER [110/1666] 
LOSS: 0.00055021, TIME: 51667.9s
STEP [158400], EPOCH [96/100], ITER [130/1666] 
LOSS: 0.00050168, TIME: 51671.4s
STEP [158420], EPOCH [96/100], ITER [150/1666] 
LOSS: 0.00051796, TIME: 51675.0s
STEP [158440], EPOCH [96/100], ITER [170/1666] 
LOSS: 0.00095945, TIME: 51678.6s
STEP [158460], EPOCH [96/100], ITER [190/1666] 
LOSS: 0.00072000, TIME: 51682.2s
STEP [158480], EPOCH [96/100], ITER [210/1666] 
LOSS: 0.00237577, TIME: 51685.7s
STEP [158500], EPOCH [96/100], ITER [230/1666] 
LOSS: 0.00091163, TIME: 51689.3s
STEP [158520], EPOCH [96/100], ITER [250/1666] 
LOSS: 0.00077705, TIME: 51692.9s
STEP [158540], EPOCH [96/100], ITER [270/1666] 
LOSS: 0.00062534, TIME: 51696.5s
STEP [158560], EPOCH [96/100], ITER [290/1666] 
LOSS: 0.00037747, TIME: 51700.0s
STEP [158580], EPOCH [96/100], ITER [310/1666] 
LOSS: 0.00085565, TIME: 51703.6s
STEP [158600], EPOCH [96/100], ITER [330/1666] 
LOSS: 0.00033031, TIME: 51707.2s
STEP [158620], EPOCH [96/100], ITER [350/1666] 
LOSS: 0.00097495, TIME: 51710.8s
STEP [158640], EPOCH [96/100], ITER [370/1666] 
LOSS: 0.00116304, TIME: 51714.3s
STEP [158660], EPOCH [96/100], ITER [390/1666] 
LOSS: 0.00061284, TIME: 51717.9s
STEP [158680], EPOCH [96/100], ITER [410/1666] 
LOSS: 0.00084436, TIME: 51721.5s
STEP [158700], EPOCH [96/100], ITER [430/1666] 
LOSS: 0.00086084, TIME: 51725.0s
STEP [158720], EPOCH [96/100], ITER [450/1666] 
LOSS: 0.00064546, TIME: 51728.6s
STEP [158740], EPOCH [96/100], ITER [470/1666] 
LOSS: 0.00067682, TIME: 51732.2s
STEP [158760], EPOCH [96/100], ITER [490/1666] 
LOSS: 0.00082451, TIME: 51735.8s
STEP [158780], EPOCH [96/100], ITER [510/1666] 
LOSS: 0.00084508, TIME: 51739.3s
STEP [158800], EPOCH [96/100], ITER [530/1666] 
LOSS: 0.00099041, TIME: 51742.9s
STEP [158820], EPOCH [96/100], ITER [550/1666] 
LOSS: 0.00108627, TIME: 51746.5s
STEP [158840], EPOCH [96/100], ITER [570/1666] 
LOSS: 0.00060786, TIME: 51750.1s
STEP [158860], EPOCH [96/100], ITER [590/1666] 
LOSS: 0.00086939, TIME: 51753.7s
STEP [158880], EPOCH [96/100], ITER [610/1666] 
LOSS: 0.00072380, TIME: 51757.3s
STEP [158900], EPOCH [96/100], ITER [630/1666] 
LOSS: 0.00178007, TIME: 51760.8s
STEP [158920], EPOCH [96/100], ITER [650/1666] 
LOSS: 0.00050143, TIME: 51764.4s
STEP [158940], EPOCH [96/100], ITER [670/1666] 
LOSS: 0.00040543, TIME: 51768.0s
STEP [158960], EPOCH [96/100], ITER [690/1666] 
LOSS: 0.00042010, TIME: 51771.6s
STEP [158980], EPOCH [96/100], ITER [710/1666] 
LOSS: 0.00084655, TIME: 51775.2s
STEP [159000], EPOCH [96/100], ITER [730/1666] 
LOSS: 0.00089189, TIME: 51778.7s
STEP [159020], EPOCH [96/100], ITER [750/1666] 
LOSS: 0.00104563, TIME: 51782.3s
STEP [159040], EPOCH [96/100], ITER [770/1666] 
LOSS: 0.00090676, TIME: 51785.9s
STEP [159060], EPOCH [96/100], ITER [790/1666] 
LOSS: 0.00101509, TIME: 51789.5s
STEP [159080], EPOCH [96/100], ITER [810/1666] 
LOSS: 0.00051493, TIME: 51793.1s
STEP [159100], EPOCH [96/100], ITER [830/1666] 
LOSS: 0.00050359, TIME: 51796.7s
STEP [159120], EPOCH [96/100], ITER [850/1666] 
LOSS: 0.00075434, TIME: 51800.3s
STEP [159140], EPOCH [96/100], ITER [870/1666] 
LOSS: 0.00089901, TIME: 51803.8s
STEP [159160], EPOCH [96/100], ITER [890/1666] 
LOSS: 0.00083284, TIME: 51807.4s
STEP [159180], EPOCH [96/100], ITER [910/1666] 
LOSS: 0.00075649, TIME: 51811.0s
STEP [159200], EPOCH [96/100], ITER [930/1666] 
LOSS: 0.00053292, TIME: 51814.6s
STEP [159220], EPOCH [96/100], ITER [950/1666] 
LOSS: 0.00114650, TIME: 51818.1s
STEP [159240], EPOCH [96/100], ITER [970/1666] 
LOSS: 0.00106114, TIME: 51821.7s
STEP [159260], EPOCH [96/100], ITER [990/1666] 
LOSS: 0.00071049, TIME: 51825.3s
STEP [159280], EPOCH [96/100], ITER [1010/1666] 
LOSS: 0.00095446, TIME: 51828.9s
STEP [159300], EPOCH [96/100], ITER [1030/1666] 
LOSS: 0.00073414, TIME: 51832.5s
STEP [159320], EPOCH [96/100], ITER [1050/1666] 
LOSS: 0.00058057, TIME: 51836.1s
STEP [159340], EPOCH [96/100], ITER [1070/1666] 
LOSS: 0.00063516, TIME: 51839.6s
STEP [159360], EPOCH [96/100], ITER [1090/1666] 
LOSS: 0.00079927, TIME: 51843.2s
STEP [159380], EPOCH [96/100], ITER [1110/1666] 
LOSS: 0.00135150, TIME: 51846.8s
STEP [159400], EPOCH [96/100], ITER [1130/1666] 
LOSS: 0.00097640, TIME: 51850.4s
STEP [159420], EPOCH [96/100], ITER [1150/1666] 
LOSS: 0.00082818, TIME: 51853.9s
STEP [159440], EPOCH [96/100], ITER [1170/1666] 
LOSS: 0.00066326, TIME: 51857.5s
STEP [159460], EPOCH [96/100], ITER [1190/1666] 
LOSS: 0.00076349, TIME: 51861.1s
STEP [159480], EPOCH [96/100], ITER [1210/1666] 
LOSS: 0.00132026, TIME: 51864.7s
STEP [159500], EPOCH [96/100], ITER [1230/1666] 
LOSS: 0.00086724, TIME: 51868.3s
STEP [159520], EPOCH [96/100], ITER [1250/1666] 
LOSS: 0.00078709, TIME: 51871.8s
STEP [159540], EPOCH [96/100], ITER [1270/1666] 
LOSS: 0.00066055, TIME: 51875.4s
STEP [159560], EPOCH [96/100], ITER [1290/1666] 
LOSS: 0.00084587, TIME: 51879.0s
STEP [159580], EPOCH [96/100], ITER [1310/1666] 
LOSS: 0.00062777, TIME: 51882.6s
STEP [159600], EPOCH [96/100], ITER [1330/1666] 
LOSS: 0.00082953, TIME: 51886.2s
STEP [159620], EPOCH [96/100], ITER [1350/1666] 
LOSS: 0.00063058, TIME: 51889.8s
STEP [159640], EPOCH [96/100], ITER [1370/1666] 
LOSS: 0.00105996, TIME: 51893.4s
STEP [159660], EPOCH [96/100], ITER [1390/1666] 
LOSS: 0.00093157, TIME: 51896.9s
STEP [159680], EPOCH [96/100], ITER [1410/1666] 
LOSS: 0.00087619, TIME: 51900.5s
STEP [159700], EPOCH [96/100], ITER [1430/1666] 
LOSS: 0.00054101, TIME: 51904.1s
STEP [159720], EPOCH [96/100], ITER [1450/1666] 
LOSS: 0.00071675, TIME: 51907.7s
STEP [159740], EPOCH [96/100], ITER [1470/1666] 
LOSS: 0.00096855, TIME: 51911.3s
STEP [159760], EPOCH [96/100], ITER [1490/1666] 
LOSS: 0.00149313, TIME: 51914.9s
STEP [159780], EPOCH [96/100], ITER [1510/1666] 
LOSS: 0.00049517, TIME: 51918.4s
STEP [159800], EPOCH [96/100], ITER [1530/1666] 
LOSS: 0.00081512, TIME: 51922.0s
STEP [159820], EPOCH [96/100], ITER [1550/1666] 
LOSS: 0.00082033, TIME: 51925.6s
STEP [159840], EPOCH [96/100], ITER [1570/1666] 
LOSS: 0.00053990, TIME: 51929.2s
STEP [159860], EPOCH [96/100], ITER [1590/1666] 
LOSS: 0.00050816, TIME: 51932.8s
STEP [159880], EPOCH [96/100], ITER [1610/1666] 
LOSS: 0.00068458, TIME: 51936.3s
STEP [159900], EPOCH [96/100], ITER [1630/1666] 
LOSS: 0.00054216, TIME: 51939.9s
STEP [159920], EPOCH [96/100], ITER [1650/1666] 
LOSS: 0.00094193, TIME: 51943.5s
STEP [159940], EPOCH [97/100], ITER [4/1666] 
LOSS: 0.00066183, TIME: 51956.2s
STEP [159960], EPOCH [97/100], ITER [24/1666] 
LOSS: 0.00064404, TIME: 51959.8s
STEP [159980], EPOCH [97/100], ITER [44/1666] 
LOSS: 0.00062251, TIME: 51963.3s
STEP [160000], EPOCH [97/100], ITER [64/1666] 
LOSS: 0.00101310, TIME: 51966.9s
STEP [160020], EPOCH [97/100], ITER [84/1666] 
LOSS: 0.00063567, TIME: 51970.5s
STEP [160040], EPOCH [97/100], ITER [104/1666] 
LOSS: 0.00075995, TIME: 51974.1s
STEP [160060], EPOCH [97/100], ITER [124/1666] 
LOSS: 0.00138483, TIME: 51977.6s
STEP [160080], EPOCH [97/100], ITER [144/1666] 
LOSS: 0.00050104, TIME: 51981.2s
STEP [160100], EPOCH [97/100], ITER [164/1666] 
LOSS: 0.00066920, TIME: 51984.8s
STEP [160120], EPOCH [97/100], ITER [184/1666] 
LOSS: 0.00072511, TIME: 51988.3s
STEP [160140], EPOCH [97/100], ITER [204/1666] 
LOSS: 0.00084058, TIME: 51991.9s
STEP [160160], EPOCH [97/100], ITER [224/1666] 
LOSS: 0.00078460, TIME: 51995.5s
STEP [160180], EPOCH [97/100], ITER [244/1666] 
LOSS: 0.00119563, TIME: 51999.0s
STEP [160200], EPOCH [97/100], ITER [264/1666] 
LOSS: 0.00141417, TIME: 52002.6s
STEP [160220], EPOCH [97/100], ITER [284/1666] 
LOSS: 0.00095876, TIME: 52006.2s
STEP [160240], EPOCH [97/100], ITER [304/1666] 
LOSS: 0.00064436, TIME: 52009.8s
STEP [160260], EPOCH [97/100], ITER [324/1666] 
LOSS: 0.00071154, TIME: 52013.3s
STEP [160280], EPOCH [97/100], ITER [344/1666] 
LOSS: 0.00073796, TIME: 52016.9s
STEP [160300], EPOCH [97/100], ITER [364/1666] 
LOSS: 0.00074513, TIME: 52020.5s
STEP [160320], EPOCH [97/100], ITER [384/1666] 
LOSS: 0.00055958, TIME: 52024.0s
STEP [160340], EPOCH [97/100], ITER [404/1666] 
LOSS: 0.00151875, TIME: 52027.6s
STEP [160360], EPOCH [97/100], ITER [424/1666] 
LOSS: 0.00062626, TIME: 52031.2s
STEP [160380], EPOCH [97/100], ITER [444/1666] 
LOSS: 0.00077266, TIME: 52034.8s
STEP [160400], EPOCH [97/100], ITER [464/1666] 
LOSS: 0.00113948, TIME: 52038.4s
STEP [160420], EPOCH [97/100], ITER [484/1666] 
LOSS: 0.00107132, TIME: 52042.0s
STEP [160440], EPOCH [97/100], ITER [504/1666] 
LOSS: 0.00046063, TIME: 52045.5s
STEP [160460], EPOCH [97/100], ITER [524/1666] 
LOSS: 0.00104338, TIME: 52049.1s
STEP [160480], EPOCH [97/100], ITER [544/1666] 
LOSS: 0.00073475, TIME: 52052.7s
STEP [160500], EPOCH [97/100], ITER [564/1666] 
LOSS: 0.00046543, TIME: 52056.3s
STEP [160520], EPOCH [97/100], ITER [584/1666] 
LOSS: 0.00075966, TIME: 52059.9s
STEP [160540], EPOCH [97/100], ITER [604/1666] 
LOSS: 0.00062169, TIME: 52063.5s
STEP [160560], EPOCH [97/100], ITER [624/1666] 
LOSS: 0.00088697, TIME: 52067.1s
STEP [160580], EPOCH [97/100], ITER [644/1666] 
LOSS: 0.00075935, TIME: 52070.7s
STEP [160600], EPOCH [97/100], ITER [664/1666] 
LOSS: 0.00078400, TIME: 52074.2s
STEP [160620], EPOCH [97/100], ITER [684/1666] 
LOSS: 0.00103320, TIME: 52077.8s
STEP [160640], EPOCH [97/100], ITER [704/1666] 
LOSS: 0.00058048, TIME: 52081.4s
STEP [160660], EPOCH [97/100], ITER [724/1666] 
LOSS: 0.00090523, TIME: 52085.0s
STEP [160680], EPOCH [97/100], ITER [744/1666] 
LOSS: 0.00045322, TIME: 52088.6s
STEP [160700], EPOCH [97/100], ITER [764/1666] 
LOSS: 0.00074309, TIME: 52092.2s
STEP [160720], EPOCH [97/100], ITER [784/1666] 
LOSS: 0.00119546, TIME: 52095.8s
STEP [160740], EPOCH [97/100], ITER [804/1666] 
LOSS: 0.00067075, TIME: 52099.3s
STEP [160760], EPOCH [97/100], ITER [824/1666] 
LOSS: 0.00075063, TIME: 52102.9s
STEP [160780], EPOCH [97/100], ITER [844/1666] 
LOSS: 0.00115596, TIME: 52106.5s
STEP [160800], EPOCH [97/100], ITER [864/1666] 
LOSS: 0.00076837, TIME: 52110.1s
STEP [160820], EPOCH [97/100], ITER [884/1666] 
LOSS: 0.00037313, TIME: 52113.6s
STEP [160840], EPOCH [97/100], ITER [904/1666] 
LOSS: 0.00079222, TIME: 52117.2s
STEP [160860], EPOCH [97/100], ITER [924/1666] 
LOSS: 0.00058721, TIME: 52120.8s
STEP [160880], EPOCH [97/100], ITER [944/1666] 
LOSS: 0.00049372, TIME: 52124.4s
STEP [160900], EPOCH [97/100], ITER [964/1666] 
LOSS: 0.00067447, TIME: 52128.0s
STEP [160920], EPOCH [97/100], ITER [984/1666] 
LOSS: 0.00137159, TIME: 52131.6s
STEP [160940], EPOCH [97/100], ITER [1004/1666] 
LOSS: 0.00109048, TIME: 52135.1s
STEP [160960], EPOCH [97/100], ITER [1024/1666] 
LOSS: 0.00058138, TIME: 52138.7s
STEP [160980], EPOCH [97/100], ITER [1044/1666] 
LOSS: 0.00063366, TIME: 52142.3s
STEP [161000], EPOCH [97/100], ITER [1064/1666] 
LOSS: 0.00058539, TIME: 52145.9s
STEP [161020], EPOCH [97/100], ITER [1084/1666] 
LOSS: 0.00123527, TIME: 52149.5s
STEP [161040], EPOCH [97/100], ITER [1104/1666] 
LOSS: 0.00087791, TIME: 52153.0s
STEP [161060], EPOCH [97/100], ITER [1124/1666] 
LOSS: 0.00096942, TIME: 52156.6s
STEP [161080], EPOCH [97/100], ITER [1144/1666] 
LOSS: 0.00081900, TIME: 52160.2s
STEP [161100], EPOCH [97/100], ITER [1164/1666] 
LOSS: 0.00096758, TIME: 52163.8s
STEP [161120], EPOCH [97/100], ITER [1184/1666] 
LOSS: 0.00074431, TIME: 52167.4s
STEP [161140], EPOCH [97/100], ITER [1204/1666] 
LOSS: 0.00056757, TIME: 52170.9s
STEP [161160], EPOCH [97/100], ITER [1224/1666] 
LOSS: 0.00072139, TIME: 52174.5s
STEP [161180], EPOCH [97/100], ITER [1244/1666] 
LOSS: 0.00100726, TIME: 52178.1s
STEP [161200], EPOCH [97/100], ITER [1264/1666] 
LOSS: 0.00046549, TIME: 52181.7s
STEP [161220], EPOCH [97/100], ITER [1284/1666] 
LOSS: 0.00071398, TIME: 52185.3s
STEP [161240], EPOCH [97/100], ITER [1304/1666] 
LOSS: 0.00057393, TIME: 52188.9s
STEP [161260], EPOCH [97/100], ITER [1324/1666] 
LOSS: 0.00052307, TIME: 52192.4s
STEP [161280], EPOCH [97/100], ITER [1344/1666] 
LOSS: 0.00112183, TIME: 52196.0s
STEP [161300], EPOCH [97/100], ITER [1364/1666] 
LOSS: 0.00089108, TIME: 52199.6s
STEP [161320], EPOCH [97/100], ITER [1384/1666] 
LOSS: 0.00061831, TIME: 52203.2s
STEP [161340], EPOCH [97/100], ITER [1404/1666] 
LOSS: 0.00068315, TIME: 52206.8s
STEP [161360], EPOCH [97/100], ITER [1424/1666] 
LOSS: 0.00078530, TIME: 52210.4s
STEP [161380], EPOCH [97/100], ITER [1444/1666] 
LOSS: 0.00105681, TIME: 52214.0s
STEP [161400], EPOCH [97/100], ITER [1464/1666] 
LOSS: 0.00107336, TIME: 52217.5s
STEP [161420], EPOCH [97/100], ITER [1484/1666] 
LOSS: 0.00077245, TIME: 52221.1s
STEP [161440], EPOCH [97/100], ITER [1504/1666] 
LOSS: 0.00057000, TIME: 52224.7s
STEP [161460], EPOCH [97/100], ITER [1524/1666] 
LOSS: 0.00075371, TIME: 52228.3s
STEP [161480], EPOCH [97/100], ITER [1544/1666] 
LOSS: 0.00057714, TIME: 52231.9s
STEP [161500], EPOCH [97/100], ITER [1564/1666] 
LOSS: 0.00111123, TIME: 52235.4s
STEP [161520], EPOCH [97/100], ITER [1584/1666] 
LOSS: 0.00065992, TIME: 52239.0s
STEP [161540], EPOCH [97/100], ITER [1604/1666] 
LOSS: 0.00067069, TIME: 52242.6s
STEP [161560], EPOCH [97/100], ITER [1624/1666] 
LOSS: 0.00077040, TIME: 52246.2s
STEP [161580], EPOCH [97/100], ITER [1644/1666] 
LOSS: 0.00066793, TIME: 52249.8s
STEP [161600], EPOCH [97/100], ITER [1664/1666] 
LOSS: 0.00048795, TIME: 52253.3s
STEP [161620], EPOCH [98/100], ITER [18/1666] 
LOSS: 0.00064747, TIME: 52266.0s
STEP [161640], EPOCH [98/100], ITER [38/1666] 
LOSS: 0.00140672, TIME: 52269.6s
STEP [161660], EPOCH [98/100], ITER [58/1666] 
LOSS: 0.00081397, TIME: 52273.1s
STEP [161680], EPOCH [98/100], ITER [78/1666] 
LOSS: 0.00096105, TIME: 52276.7s
STEP [161700], EPOCH [98/100], ITER [98/1666] 
LOSS: 0.00083762, TIME: 52280.2s
STEP [161720], EPOCH [98/100], ITER [118/1666] 
LOSS: 0.00084504, TIME: 52283.8s
STEP [161740], EPOCH [98/100], ITER [138/1666] 
LOSS: 0.00066743, TIME: 52287.4s
STEP [161760], EPOCH [98/100], ITER [158/1666] 
LOSS: 0.00090984, TIME: 52291.0s
STEP [161780], EPOCH [98/100], ITER [178/1666] 
LOSS: 0.00063020, TIME: 52294.5s
STEP [161800], EPOCH [98/100], ITER [198/1666] 
LOSS: 0.00092638, TIME: 52298.1s
STEP [161820], EPOCH [98/100], ITER [218/1666] 
LOSS: 0.00071741, TIME: 52301.7s
STEP [161840], EPOCH [98/100], ITER [238/1666] 
LOSS: 0.00049851, TIME: 52305.2s
STEP [161860], EPOCH [98/100], ITER [258/1666] 
LOSS: 0.00070876, TIME: 52308.8s
STEP [161880], EPOCH [98/100], ITER [278/1666] 
LOSS: 0.00071049, TIME: 52312.4s
STEP [161900], EPOCH [98/100], ITER [298/1666] 
LOSS: 0.00059678, TIME: 52316.0s
STEP [161920], EPOCH [98/100], ITER [318/1666] 
LOSS: 0.00062202, TIME: 52319.6s
STEP [161940], EPOCH [98/100], ITER [338/1666] 
LOSS: 0.00049302, TIME: 52323.2s
STEP [161960], EPOCH [98/100], ITER [358/1666] 
LOSS: 0.00056334, TIME: 52326.7s
STEP [161980], EPOCH [98/100], ITER [378/1666] 
LOSS: 0.00077489, TIME: 52330.3s
STEP [162000], EPOCH [98/100], ITER [398/1666] 
LOSS: 0.00061186, TIME: 52333.9s
STEP [162020], EPOCH [98/100], ITER [418/1666] 
LOSS: 0.00088570, TIME: 52337.5s
STEP [162040], EPOCH [98/100], ITER [438/1666] 
LOSS: 0.00078879, TIME: 52341.1s
STEP [162060], EPOCH [98/100], ITER [458/1666] 
LOSS: 0.00057632, TIME: 52344.7s
STEP [162080], EPOCH [98/100], ITER [478/1666] 
LOSS: 0.00120143, TIME: 52348.2s
STEP [162100], EPOCH [98/100], ITER [498/1666] 
LOSS: 0.00081624, TIME: 52351.8s
STEP [162120], EPOCH [98/100], ITER [518/1666] 
LOSS: 0.00079230, TIME: 52355.4s
STEP [162140], EPOCH [98/100], ITER [538/1666] 
LOSS: 0.00046883, TIME: 52359.0s
STEP [162160], EPOCH [98/100], ITER [558/1666] 
LOSS: 0.00091986, TIME: 52362.5s
STEP [162180], EPOCH [98/100], ITER [578/1666] 
LOSS: 0.00074050, TIME: 52366.1s
STEP [162200], EPOCH [98/100], ITER [598/1666] 
LOSS: 0.00062180, TIME: 52369.7s
STEP [162220], EPOCH [98/100], ITER [618/1666] 
LOSS: 0.00110970, TIME: 52373.3s
STEP [162240], EPOCH [98/100], ITER [638/1666] 
LOSS: 0.00083473, TIME: 52376.9s
STEP [162260], EPOCH [98/100], ITER [658/1666] 
LOSS: 0.00088437, TIME: 52380.4s
STEP [162280], EPOCH [98/100], ITER [678/1666] 
LOSS: 0.00157772, TIME: 52384.0s
STEP [162300], EPOCH [98/100], ITER [698/1666] 
LOSS: 0.00075686, TIME: 52387.6s
STEP [162320], EPOCH [98/100], ITER [718/1666] 
LOSS: 0.00081622, TIME: 52391.2s
STEP [162340], EPOCH [98/100], ITER [738/1666] 
LOSS: 0.00076071, TIME: 52394.8s
STEP [162360], EPOCH [98/100], ITER [758/1666] 
LOSS: 0.00042268, TIME: 52398.3s
STEP [162380], EPOCH [98/100], ITER [778/1666] 
LOSS: 0.00074030, TIME: 52401.9s
STEP [162400], EPOCH [98/100], ITER [798/1666] 
LOSS: 0.00102020, TIME: 52405.5s
STEP [162420], EPOCH [98/100], ITER [818/1666] 
LOSS: 0.00129192, TIME: 52409.1s
STEP [162440], EPOCH [98/100], ITER [838/1666] 
LOSS: 0.00062065, TIME: 52412.7s
STEP [162460], EPOCH [98/100], ITER [858/1666] 
LOSS: 0.00052588, TIME: 52416.2s
STEP [162480], EPOCH [98/100], ITER [878/1666] 
LOSS: 0.00124905, TIME: 52419.8s
STEP [162500], EPOCH [98/100], ITER [898/1666] 
LOSS: 0.00084864, TIME: 52423.4s
STEP [162520], EPOCH [98/100], ITER [918/1666] 
LOSS: 0.00164351, TIME: 52427.0s
STEP [162540], EPOCH [98/100], ITER [938/1666] 
LOSS: 0.00111179, TIME: 52430.6s
STEP [162560], EPOCH [98/100], ITER [958/1666] 
LOSS: 0.00066436, TIME: 52434.1s
STEP [162580], EPOCH [98/100], ITER [978/1666] 
LOSS: 0.00056046, TIME: 52437.7s
STEP [162600], EPOCH [98/100], ITER [998/1666] 
LOSS: 0.00059352, TIME: 52441.3s
STEP [162620], EPOCH [98/100], ITER [1018/1666] 
LOSS: 0.00062144, TIME: 52444.9s
STEP [162640], EPOCH [98/100], ITER [1038/1666] 
LOSS: 0.00072765, TIME: 52448.5s
STEP [162660], EPOCH [98/100], ITER [1058/1666] 
LOSS: 0.00063831, TIME: 52452.0s
STEP [162680], EPOCH [98/100], ITER [1078/1666] 
LOSS: 0.00177228, TIME: 52455.6s
STEP [162700], EPOCH [98/100], ITER [1098/1666] 
LOSS: 0.00100675, TIME: 52459.2s
STEP [162720], EPOCH [98/100], ITER [1118/1666] 
LOSS: 0.00098238, TIME: 52462.8s
STEP [162740], EPOCH [98/100], ITER [1138/1666] 
LOSS: 0.00066699, TIME: 52466.4s
STEP [162760], EPOCH [98/100], ITER [1158/1666] 
LOSS: 0.00049326, TIME: 52469.9s
STEP [162780], EPOCH [98/100], ITER [1178/1666] 
LOSS: 0.00071021, TIME: 52473.5s
STEP [162800], EPOCH [98/100], ITER [1198/1666] 
LOSS: 0.00057532, TIME: 52477.1s
STEP [162820], EPOCH [98/100], ITER [1218/1666] 
LOSS: 0.00059139, TIME: 52480.7s
STEP [162840], EPOCH [98/100], ITER [1238/1666] 
LOSS: 0.00092553, TIME: 52484.3s
STEP [162860], EPOCH [98/100], ITER [1258/1666] 
LOSS: 0.00077591, TIME: 52487.9s
STEP [162880], EPOCH [98/100], ITER [1278/1666] 
LOSS: 0.00062299, TIME: 52491.4s
STEP [162900], EPOCH [98/100], ITER [1298/1666] 
LOSS: 0.00053106, TIME: 52495.0s
STEP [162920], EPOCH [98/100], ITER [1318/1666] 
LOSS: 0.00041226, TIME: 52498.6s
STEP [162940], EPOCH [98/100], ITER [1338/1666] 
LOSS: 0.00061883, TIME: 52502.2s
STEP [162960], EPOCH [98/100], ITER [1358/1666] 
LOSS: 0.00094121, TIME: 52505.7s
STEP [162980], EPOCH [98/100], ITER [1378/1666] 
LOSS: 0.00055960, TIME: 52509.3s
STEP [163000], EPOCH [98/100], ITER [1398/1666] 
LOSS: 0.00056695, TIME: 52512.9s
STEP [163020], EPOCH [98/100], ITER [1418/1666] 
LOSS: 0.00079393, TIME: 52516.5s
STEP [163040], EPOCH [98/100], ITER [1438/1666] 
LOSS: 0.00114006, TIME: 52520.1s
STEP [163060], EPOCH [98/100], ITER [1458/1666] 
LOSS: 0.00062973, TIME: 52523.7s
STEP [163080], EPOCH [98/100], ITER [1478/1666] 
LOSS: 0.00053921, TIME: 52527.3s
STEP [163100], EPOCH [98/100], ITER [1498/1666] 
LOSS: 0.00073627, TIME: 52530.8s
STEP [163120], EPOCH [98/100], ITER [1518/1666] 
LOSS: 0.00045934, TIME: 52534.4s
STEP [163140], EPOCH [98/100], ITER [1538/1666] 
LOSS: 0.00061340, TIME: 52538.0s
STEP [163160], EPOCH [98/100], ITER [1558/1666] 
LOSS: 0.00058657, TIME: 52541.6s
STEP [163180], EPOCH [98/100], ITER [1578/1666] 
LOSS: 0.00085079, TIME: 52545.2s
STEP [163200], EPOCH [98/100], ITER [1598/1666] 
LOSS: 0.00103579, TIME: 52548.7s
STEP [163220], EPOCH [98/100], ITER [1618/1666] 
LOSS: 0.00074631, TIME: 52552.3s
STEP [163240], EPOCH [98/100], ITER [1638/1666] 
LOSS: 0.00122519, TIME: 52555.9s
STEP [163260], EPOCH [98/100], ITER [1658/1666] 
LOSS: 0.00062652, TIME: 52559.5s
STEP [163280], EPOCH [99/100], ITER [12/1666] 
LOSS: 0.00096054, TIME: 52572.1s
STEP [163300], EPOCH [99/100], ITER [32/1666] 
LOSS: 0.00080288, TIME: 52575.6s
STEP [163320], EPOCH [99/100], ITER [52/1666] 
LOSS: 0.00071771, TIME: 52579.2s
STEP [163340], EPOCH [99/100], ITER [72/1666] 
LOSS: 0.00045528, TIME: 52582.8s
STEP [163360], EPOCH [99/100], ITER [92/1666] 
LOSS: 0.00047123, TIME: 52586.3s
STEP [163380], EPOCH [99/100], ITER [112/1666] 
LOSS: 0.00133582, TIME: 52589.9s
STEP [163400], EPOCH [99/100], ITER [132/1666] 
LOSS: 0.00075102, TIME: 52593.5s
STEP [163420], EPOCH [99/100], ITER [152/1666] 
LOSS: 0.00086023, TIME: 52597.0s
STEP [163440], EPOCH [99/100], ITER [172/1666] 
LOSS: 0.00066011, TIME: 52600.6s
STEP [163460], EPOCH [99/100], ITER [192/1666] 
LOSS: 0.00087588, TIME: 52604.2s
STEP [163480], EPOCH [99/100], ITER [212/1666] 
LOSS: 0.00086633, TIME: 52607.8s
STEP [163500], EPOCH [99/100], ITER [232/1666] 
LOSS: 0.00061498, TIME: 52611.3s
STEP [163520], EPOCH [99/100], ITER [252/1666] 
LOSS: 0.00073955, TIME: 52614.9s
STEP [163540], EPOCH [99/100], ITER [272/1666] 
LOSS: 0.00149458, TIME: 52618.5s
STEP [163560], EPOCH [99/100], ITER [292/1666] 
LOSS: 0.00067551, TIME: 52622.1s
STEP [163580], EPOCH [99/100], ITER [312/1666] 
LOSS: 0.00057612, TIME: 52625.6s
STEP [163600], EPOCH [99/100], ITER [332/1666] 
LOSS: 0.00076840, TIME: 52629.2s
STEP [163620], EPOCH [99/100], ITER [352/1666] 
LOSS: 0.00075912, TIME: 52632.8s
STEP [163640], EPOCH [99/100], ITER [372/1666] 
LOSS: 0.00057457, TIME: 52636.4s
STEP [163660], EPOCH [99/100], ITER [392/1666] 
LOSS: 0.00077937, TIME: 52640.0s
STEP [163680], EPOCH [99/100], ITER [412/1666] 
LOSS: 0.00076614, TIME: 52643.6s
STEP [163700], EPOCH [99/100], ITER [432/1666] 
LOSS: 0.00074037, TIME: 52647.1s
STEP [163720], EPOCH [99/100], ITER [452/1666] 
LOSS: 0.00070907, TIME: 52650.7s
STEP [163740], EPOCH [99/100], ITER [472/1666] 
LOSS: 0.00082792, TIME: 52654.3s
STEP [163760], EPOCH [99/100], ITER [492/1666] 
LOSS: 0.00118155, TIME: 52657.9s
STEP [163780], EPOCH [99/100], ITER [512/1666] 
LOSS: 0.00081256, TIME: 52661.4s
STEP [163800], EPOCH [99/100], ITER [532/1666] 
LOSS: 0.00039610, TIME: 52665.0s
STEP [163820], EPOCH [99/100], ITER [552/1666] 
LOSS: 0.00057000, TIME: 52668.6s
STEP [163840], EPOCH [99/100], ITER [572/1666] 
LOSS: 0.00042374, TIME: 52672.2s
STEP [163860], EPOCH [99/100], ITER [592/1666] 
LOSS: 0.00116823, TIME: 52675.8s
STEP [163880], EPOCH [99/100], ITER [612/1666] 
LOSS: 0.00076811, TIME: 52679.3s
STEP [163900], EPOCH [99/100], ITER [632/1666] 
LOSS: 0.00060571, TIME: 52682.9s
STEP [163920], EPOCH [99/100], ITER [652/1666] 
LOSS: 0.00125067, TIME: 52686.5s
STEP [163940], EPOCH [99/100], ITER [672/1666] 
LOSS: 0.00069584, TIME: 52690.1s
STEP [163960], EPOCH [99/100], ITER [692/1666] 
LOSS: 0.00074143, TIME: 52693.7s
STEP [163980], EPOCH [99/100], ITER [712/1666] 
LOSS: 0.00064577, TIME: 52697.2s
STEP [164000], EPOCH [99/100], ITER [732/1666] 
LOSS: 0.00039285, TIME: 52700.8s
STEP [164020], EPOCH [99/100], ITER [752/1666] 
LOSS: 0.00069956, TIME: 52704.4s
STEP [164040], EPOCH [99/100], ITER [772/1666] 
LOSS: 0.00052701, TIME: 52708.0s
STEP [164060], EPOCH [99/100], ITER [792/1666] 
LOSS: 0.00120841, TIME: 52711.6s
STEP [164080], EPOCH [99/100], ITER [812/1666] 
LOSS: 0.00089000, TIME: 52715.2s
STEP [164100], EPOCH [99/100], ITER [832/1666] 
LOSS: 0.00063626, TIME: 52718.7s
STEP [164120], EPOCH [99/100], ITER [852/1666] 
LOSS: 0.00061187, TIME: 52722.3s
STEP [164140], EPOCH [99/100], ITER [872/1666] 
LOSS: 0.00077585, TIME: 52725.9s
STEP [164160], EPOCH [99/100], ITER [892/1666] 
LOSS: 0.00080356, TIME: 52729.5s
STEP [164180], EPOCH [99/100], ITER [912/1666] 
LOSS: 0.00057450, TIME: 52733.0s
STEP [164200], EPOCH [99/100], ITER [932/1666] 
LOSS: 0.00126664, TIME: 52736.6s
STEP [164220], EPOCH [99/100], ITER [952/1666] 
LOSS: 0.00113193, TIME: 52740.2s
STEP [164240], EPOCH [99/100], ITER [972/1666] 
LOSS: 0.00068951, TIME: 52743.8s
STEP [164260], EPOCH [99/100], ITER [992/1666] 
LOSS: 0.00070306, TIME: 52747.4s
STEP [164280], EPOCH [99/100], ITER [1012/1666] 
LOSS: 0.00105168, TIME: 52751.0s
STEP [164300], EPOCH [99/100], ITER [1032/1666] 
LOSS: 0.00064349, TIME: 52754.6s
STEP [164320], EPOCH [99/100], ITER [1052/1666] 
LOSS: 0.00067260, TIME: 52758.1s
STEP [164340], EPOCH [99/100], ITER [1072/1666] 
LOSS: 0.00055598, TIME: 52761.7s
STEP [164360], EPOCH [99/100], ITER [1092/1666] 
LOSS: 0.00063441, TIME: 52765.3s
STEP [164380], EPOCH [99/100], ITER [1112/1666] 
LOSS: 0.00061601, TIME: 52768.9s
STEP [164400], EPOCH [99/100], ITER [1132/1666] 
LOSS: 0.00064167, TIME: 52772.5s
STEP [164420], EPOCH [99/100], ITER [1152/1666] 
LOSS: 0.00103640, TIME: 52776.1s
STEP [164440], EPOCH [99/100], ITER [1172/1666] 
LOSS: 0.00083354, TIME: 52779.6s
STEP [164460], EPOCH [99/100], ITER [1192/1666] 
LOSS: 0.00087486, TIME: 52783.2s
STEP [164480], EPOCH [99/100], ITER [1212/1666] 
LOSS: 0.00073248, TIME: 52786.8s
STEP [164500], EPOCH [99/100], ITER [1232/1666] 
LOSS: 0.00081043, TIME: 52790.4s
STEP [164520], EPOCH [99/100], ITER [1252/1666] 
LOSS: 0.00077707, TIME: 52794.0s
STEP [164540], EPOCH [99/100], ITER [1272/1666] 
LOSS: 0.00104269, TIME: 52797.5s
STEP [164560], EPOCH [99/100], ITER [1292/1666] 
LOSS: 0.00050068, TIME: 52801.1s
STEP [164580], EPOCH [99/100], ITER [1312/1666] 
LOSS: 0.00081572, TIME: 52804.7s
STEP [164600], EPOCH [99/100], ITER [1332/1666] 
LOSS: 0.00059583, TIME: 52808.3s
STEP [164620], EPOCH [99/100], ITER [1352/1666] 
LOSS: 0.00060928, TIME: 52811.9s
STEP [164640], EPOCH [99/100], ITER [1372/1666] 
LOSS: 0.00073669, TIME: 52815.5s
STEP [164660], EPOCH [99/100], ITER [1392/1666] 
LOSS: 0.00059062, TIME: 52819.0s
STEP [164680], EPOCH [99/100], ITER [1412/1666] 
LOSS: 0.00079414, TIME: 52822.6s
STEP [164700], EPOCH [99/100], ITER [1432/1666] 
LOSS: 0.00070362, TIME: 52826.2s
STEP [164720], EPOCH [99/100], ITER [1452/1666] 
LOSS: 0.00072431, TIME: 52829.8s
STEP [164740], EPOCH [99/100], ITER [1472/1666] 
LOSS: 0.00069006, TIME: 52833.4s
STEP [164760], EPOCH [99/100], ITER [1492/1666] 
LOSS: 0.00058432, TIME: 52836.9s
STEP [164780], EPOCH [99/100], ITER [1512/1666] 
LOSS: 0.00045988, TIME: 52840.5s
STEP [164800], EPOCH [99/100], ITER [1532/1666] 
LOSS: 0.00089055, TIME: 52844.1s
STEP [164820], EPOCH [99/100], ITER [1552/1666] 
LOSS: 0.00122738, TIME: 52847.7s
STEP [164840], EPOCH [99/100], ITER [1572/1666] 
LOSS: 0.00062676, TIME: 52851.2s
STEP [164860], EPOCH [99/100], ITER [1592/1666] 
LOSS: 0.00058998, TIME: 52854.8s
STEP [164880], EPOCH [99/100], ITER [1612/1666] 
LOSS: 0.00122484, TIME: 52858.4s
STEP [164900], EPOCH [99/100], ITER [1632/1666] 
LOSS: 0.00109885, TIME: 52862.0s
STEP [164920], EPOCH [99/100], ITER [1652/1666] 
LOSS: 0.00048318, TIME: 52865.6s
