Loading Data. totol count: 26782
STEP [20], EPOCH [1/100], ITER [20/1674] 
LOSS: 0.00982599, TIME: 9.6s
STEP [40], EPOCH [1/100], ITER [40/1674] 
LOSS: 0.00385777, TIME: 12.5s
STEP [60], EPOCH [1/100], ITER [60/1674] 
LOSS: 0.00468321, TIME: 15.3s
STEP [80], EPOCH [1/100], ITER [80/1674] 
LOSS: 0.00326112, TIME: 18.2s
STEP [100], EPOCH [1/100], ITER [100/1674] 
LOSS: 0.00271569, TIME: 21.0s
STEP [120], EPOCH [1/100], ITER [120/1674] 
LOSS: 0.00349895, TIME: 23.9s
STEP [140], EPOCH [1/100], ITER [140/1674] 
LOSS: 0.00414124, TIME: 26.8s
STEP [160], EPOCH [1/100], ITER [160/1674] 
LOSS: 0.00334013, TIME: 29.6s
STEP [180], EPOCH [1/100], ITER [180/1674] 
LOSS: 0.00305898, TIME: 32.5s
STEP [200], EPOCH [1/100], ITER [200/1674] 
LOSS: 0.00217821, TIME: 35.3s
STEP [220], EPOCH [1/100], ITER [220/1674] 
LOSS: 0.00302016, TIME: 38.2s
STEP [240], EPOCH [1/100], ITER [240/1674] 
LOSS: 0.00436459, TIME: 41.0s
STEP [260], EPOCH [1/100], ITER [260/1674] 
LOSS: 0.00283802, TIME: 43.9s
STEP [280], EPOCH [1/100], ITER [280/1674] 
LOSS: 0.00203370, TIME: 46.8s
STEP [300], EPOCH [1/100], ITER [300/1674] 
LOSS: 0.00399138, TIME: 49.6s
STEP [320], EPOCH [1/100], ITER [320/1674] 
LOSS: 0.00212258, TIME: 52.5s
STEP [340], EPOCH [1/100], ITER [340/1674] 
LOSS: 0.00270177, TIME: 55.3s
STEP [360], EPOCH [1/100], ITER [360/1674] 
LOSS: 0.00327688, TIME: 58.2s
STEP [380], EPOCH [1/100], ITER [380/1674] 
LOSS: 0.00513133, TIME: 61.1s
STEP [400], EPOCH [1/100], ITER [400/1674] 
LOSS: 0.00462692, TIME: 63.9s
STEP [420], EPOCH [1/100], ITER [420/1674] 
LOSS: 0.00367439, TIME: 66.8s
STEP [440], EPOCH [1/100], ITER [440/1674] 
LOSS: 0.00221183, TIME: 69.7s
STEP [460], EPOCH [1/100], ITER [460/1674] 
LOSS: 0.00523295, TIME: 72.5s
STEP [480], EPOCH [1/100], ITER [480/1674] 
LOSS: 0.00194482, TIME: 75.4s
STEP [500], EPOCH [1/100], ITER [500/1674] 
LOSS: 0.00285704, TIME: 78.2s
STEP [520], EPOCH [1/100], ITER [520/1674] 
LOSS: 0.00367544, TIME: 81.1s
STEP [540], EPOCH [1/100], ITER [540/1674] 
LOSS: 0.00316695, TIME: 84.0s
STEP [560], EPOCH [1/100], ITER [560/1674] 
LOSS: 0.00235795, TIME: 86.8s
STEP [580], EPOCH [1/100], ITER [580/1674] 
LOSS: 0.00190609, TIME: 89.7s
STEP [600], EPOCH [1/100], ITER [600/1674] 
LOSS: 0.00243126, TIME: 92.5s
STEP [620], EPOCH [1/100], ITER [620/1674] 
LOSS: 0.00349004, TIME: 95.4s
STEP [640], EPOCH [1/100], ITER [640/1674] 
LOSS: 0.00227454, TIME: 98.3s
STEP [660], EPOCH [1/100], ITER [660/1674] 
LOSS: 0.00268504, TIME: 101.1s
STEP [680], EPOCH [1/100], ITER [680/1674] 
LOSS: 0.00253805, TIME: 104.0s
STEP [700], EPOCH [1/100], ITER [700/1674] 
LOSS: 0.00325127, TIME: 106.9s
STEP [720], EPOCH [1/100], ITER [720/1674] 
LOSS: 0.00327520, TIME: 109.7s
STEP [740], EPOCH [1/100], ITER [740/1674] 
LOSS: 0.00297459, TIME: 112.6s
STEP [760], EPOCH [1/100], ITER [760/1674] 
LOSS: 0.00276619, TIME: 115.5s
STEP [780], EPOCH [1/100], ITER [780/1674] 
LOSS: 0.00311568, TIME: 118.3s
STEP [800], EPOCH [1/100], ITER [800/1674] 
LOSS: 0.00260770, TIME: 121.2s
STEP [820], EPOCH [1/100], ITER [820/1674] 
LOSS: 0.00227655, TIME: 124.0s
STEP [840], EPOCH [1/100], ITER [840/1674] 
LOSS: 0.00182883, TIME: 126.9s
STEP [860], EPOCH [1/100], ITER [860/1674] 
LOSS: 0.00251300, TIME: 129.8s
STEP [880], EPOCH [1/100], ITER [880/1674] 
LOSS: 0.00331639, TIME: 132.6s
STEP [900], EPOCH [1/100], ITER [900/1674] 
LOSS: 0.00203700, TIME: 135.5s
STEP [920], EPOCH [1/100], ITER [920/1674] 
LOSS: 0.00208725, TIME: 138.4s
STEP [940], EPOCH [1/100], ITER [940/1674] 
LOSS: 0.00180977, TIME: 141.2s
STEP [960], EPOCH [1/100], ITER [960/1674] 
LOSS: 0.00154882, TIME: 144.1s
STEP [980], EPOCH [1/100], ITER [980/1674] 
LOSS: 0.00229228, TIME: 146.9s
STEP [1000], EPOCH [1/100], ITER [1000/1674] 
LOSS: 0.00289535, TIME: 149.8s
STEP [1020], EPOCH [1/100], ITER [1020/1674] 
LOSS: 0.00305895, TIME: 152.7s
STEP [1040], EPOCH [1/100], ITER [1040/1674] 
LOSS: 0.00192758, TIME: 155.6s
STEP [1060], EPOCH [1/100], ITER [1060/1674] 
LOSS: 0.00348424, TIME: 158.4s
STEP [1080], EPOCH [1/100], ITER [1080/1674] 
LOSS: 0.00234805, TIME: 161.3s
STEP [1100], EPOCH [1/100], ITER [1100/1674] 
LOSS: 0.00198111, TIME: 164.2s
STEP [1120], EPOCH [1/100], ITER [1120/1674] 
LOSS: 0.00190125, TIME: 167.0s
STEP [1140], EPOCH [1/100], ITER [1140/1674] 
LOSS: 0.00366747, TIME: 169.9s
STEP [1160], EPOCH [1/100], ITER [1160/1674] 
LOSS: 0.00215770, TIME: 172.7s
STEP [1180], EPOCH [1/100], ITER [1180/1674] 
LOSS: 0.00180628, TIME: 175.6s
STEP [1200], EPOCH [1/100], ITER [1200/1674] 
LOSS: 0.00221237, TIME: 178.5s
STEP [1220], EPOCH [1/100], ITER [1220/1674] 
LOSS: 0.00219047, TIME: 181.3s
STEP [1240], EPOCH [1/100], ITER [1240/1674] 
LOSS: 0.00247378, TIME: 184.2s
STEP [1260], EPOCH [1/100], ITER [1260/1674] 
LOSS: 0.00240320, TIME: 187.0s
STEP [1280], EPOCH [1/100], ITER [1280/1674] 
LOSS: 0.00156715, TIME: 189.9s
STEP [1300], EPOCH [1/100], ITER [1300/1674] 
LOSS: 0.00257169, TIME: 192.8s
STEP [1320], EPOCH [1/100], ITER [1320/1674] 
LOSS: 0.00157841, TIME: 195.6s
STEP [1340], EPOCH [1/100], ITER [1340/1674] 
LOSS: 0.00353534, TIME: 198.5s
STEP [1360], EPOCH [1/100], ITER [1360/1674] 
LOSS: 0.00186768, TIME: 201.3s
STEP [1380], EPOCH [1/100], ITER [1380/1674] 
LOSS: 0.00219556, TIME: 204.2s
STEP [1400], EPOCH [1/100], ITER [1400/1674] 
LOSS: 0.00169895, TIME: 207.1s
STEP [1420], EPOCH [1/100], ITER [1420/1674] 
LOSS: 0.00162021, TIME: 209.9s
STEP [1440], EPOCH [1/100], ITER [1440/1674] 
LOSS: 0.00263909, TIME: 212.8s
STEP [1460], EPOCH [1/100], ITER [1460/1674] 
LOSS: 0.00289904, TIME: 215.6s
STEP [1480], EPOCH [1/100], ITER [1480/1674] 
LOSS: 0.00162247, TIME: 218.5s
STEP [1500], EPOCH [1/100], ITER [1500/1674] 
LOSS: 0.00239122, TIME: 221.4s
STEP [1520], EPOCH [1/100], ITER [1520/1674] 
LOSS: 0.00207348, TIME: 224.2s
STEP [1540], EPOCH [1/100], ITER [1540/1674] 
LOSS: 0.00227970, TIME: 227.1s
STEP [1560], EPOCH [1/100], ITER [1560/1674] 
LOSS: 0.00252871, TIME: 230.0s
STEP [1580], EPOCH [1/100], ITER [1580/1674] 
LOSS: 0.00325100, TIME: 232.8s
STEP [1600], EPOCH [1/100], ITER [1600/1674] 
LOSS: 0.00221571, TIME: 235.7s
STEP [1620], EPOCH [1/100], ITER [1620/1674] 
LOSS: 0.00282843, TIME: 238.6s
STEP [1640], EPOCH [1/100], ITER [1640/1674] 
LOSS: 0.00203171, TIME: 241.4s
STEP [1660], EPOCH [1/100], ITER [1660/1674] 
LOSS: 0.00141556, TIME: 244.3s
STEP [1680], EPOCH [2/100], ITER [6/1674] 
LOSS: 0.00224179, TIME: 252.0s
STEP [1700], EPOCH [2/100], ITER [26/1674] 
LOSS: 0.00159592, TIME: 254.8s
STEP [1720], EPOCH [2/100], ITER [46/1674] 
LOSS: 0.00187123, TIME: 257.7s
STEP [1740], EPOCH [2/100], ITER [66/1674] 
LOSS: 0.00272953, TIME: 260.5s
STEP [1760], EPOCH [2/100], ITER [86/1674] 
LOSS: 0.00208109, TIME: 263.4s
STEP [1780], EPOCH [2/100], ITER [106/1674] 
LOSS: 0.00250485, TIME: 266.3s
STEP [1800], EPOCH [2/100], ITER [126/1674] 
LOSS: 0.00204173, TIME: 269.1s
STEP [1820], EPOCH [2/100], ITER [146/1674] 
LOSS: 0.00239333, TIME: 272.0s
STEP [1840], EPOCH [2/100], ITER [166/1674] 
LOSS: 0.00174182, TIME: 274.8s
STEP [1860], EPOCH [2/100], ITER [186/1674] 
LOSS: 0.00271261, TIME: 277.7s
STEP [1880], EPOCH [2/100], ITER [206/1674] 
LOSS: 0.00139141, TIME: 280.6s
STEP [1900], EPOCH [2/100], ITER [226/1674] 
LOSS: 0.00228787, TIME: 283.4s
STEP [1920], EPOCH [2/100], ITER [246/1674] 
LOSS: 0.00242892, TIME: 286.3s
STEP [1940], EPOCH [2/100], ITER [266/1674] 
LOSS: 0.00238474, TIME: 289.2s
STEP [1960], EPOCH [2/100], ITER [286/1674] 
LOSS: 0.00315356, TIME: 292.0s
STEP [1980], EPOCH [2/100], ITER [306/1674] 
LOSS: 0.00201785, TIME: 294.9s
STEP [2000], EPOCH [2/100], ITER [326/1674] 
LOSS: 0.00222603, TIME: 297.7s
STEP [2020], EPOCH [2/100], ITER [346/1674] 
LOSS: 0.00182151, TIME: 300.7s
STEP [2040], EPOCH [2/100], ITER [366/1674] 
LOSS: 0.00179655, TIME: 303.6s
STEP [2060], EPOCH [2/100], ITER [386/1674] 
LOSS: 0.00230918, TIME: 306.4s
STEP [2080], EPOCH [2/100], ITER [406/1674] 
LOSS: 0.00141227, TIME: 309.3s
STEP [2100], EPOCH [2/100], ITER [426/1674] 
LOSS: 0.00352108, TIME: 312.1s
STEP [2120], EPOCH [2/100], ITER [446/1674] 
LOSS: 0.00288518, TIME: 315.0s
STEP [2140], EPOCH [2/100], ITER [466/1674] 
LOSS: 0.00245674, TIME: 317.9s
STEP [2160], EPOCH [2/100], ITER [486/1674] 
LOSS: 0.00191575, TIME: 320.7s
STEP [2180], EPOCH [2/100], ITER [506/1674] 
LOSS: 0.00190286, TIME: 323.6s
STEP [2200], EPOCH [2/100], ITER [526/1674] 
LOSS: 0.00181763, TIME: 326.5s
STEP [2220], EPOCH [2/100], ITER [546/1674] 
LOSS: 0.00174759, TIME: 329.3s
STEP [2240], EPOCH [2/100], ITER [566/1674] 
LOSS: 0.00149740, TIME: 332.2s
STEP [2260], EPOCH [2/100], ITER [586/1674] 
LOSS: 0.00163850, TIME: 335.1s
STEP [2280], EPOCH [2/100], ITER [606/1674] 
LOSS: 0.00238132, TIME: 337.9s
STEP [2300], EPOCH [2/100], ITER [626/1674] 
LOSS: 0.00192434, TIME: 340.8s
STEP [2320], EPOCH [2/100], ITER [646/1674] 
LOSS: 0.00253572, TIME: 343.7s
STEP [2340], EPOCH [2/100], ITER [666/1674] 
LOSS: 0.00217298, TIME: 346.5s
STEP [2360], EPOCH [2/100], ITER [686/1674] 
LOSS: 0.00286397, TIME: 349.4s
STEP [2380], EPOCH [2/100], ITER [706/1674] 
LOSS: 0.00143878, TIME: 352.3s
STEP [2400], EPOCH [2/100], ITER [726/1674] 
LOSS: 0.00205269, TIME: 355.1s
STEP [2420], EPOCH [2/100], ITER [746/1674] 
LOSS: 0.00213972, TIME: 358.0s
STEP [2440], EPOCH [2/100], ITER [766/1674] 
LOSS: 0.00195375, TIME: 360.9s
STEP [2460], EPOCH [2/100], ITER [786/1674] 
LOSS: 0.00248517, TIME: 363.7s
STEP [2480], EPOCH [2/100], ITER [806/1674] 
LOSS: 0.00228934, TIME: 366.6s
STEP [2500], EPOCH [2/100], ITER [826/1674] 
LOSS: 0.00222985, TIME: 369.5s
STEP [2520], EPOCH [2/100], ITER [846/1674] 
LOSS: 0.00180426, TIME: 372.3s
STEP [2540], EPOCH [2/100], ITER [866/1674] 
LOSS: 0.00221729, TIME: 375.2s
STEP [2560], EPOCH [2/100], ITER [886/1674] 
LOSS: 0.00186627, TIME: 378.1s
STEP [2580], EPOCH [2/100], ITER [906/1674] 
LOSS: 0.00301392, TIME: 380.9s
STEP [2600], EPOCH [2/100], ITER [926/1674] 
LOSS: 0.00219942, TIME: 383.8s
STEP [2620], EPOCH [2/100], ITER [946/1674] 
LOSS: 0.00195491, TIME: 386.7s
STEP [2640], EPOCH [2/100], ITER [966/1674] 
LOSS: 0.00335273, TIME: 389.5s
STEP [2660], EPOCH [2/100], ITER [986/1674] 
LOSS: 0.00251828, TIME: 392.4s
STEP [2680], EPOCH [2/100], ITER [1006/1674] 
LOSS: 0.00247598, TIME: 395.3s
STEP [2700], EPOCH [2/100], ITER [1026/1674] 
LOSS: 0.00340553, TIME: 398.1s
STEP [2720], EPOCH [2/100], ITER [1046/1674] 
LOSS: 0.00195108, TIME: 401.0s
STEP [2740], EPOCH [2/100], ITER [1066/1674] 
LOSS: 0.00275015, TIME: 403.8s
STEP [2760], EPOCH [2/100], ITER [1086/1674] 
LOSS: 0.00188727, TIME: 406.7s
STEP [2780], EPOCH [2/100], ITER [1106/1674] 
LOSS: 0.00139147, TIME: 409.6s
STEP [2800], EPOCH [2/100], ITER [1126/1674] 
LOSS: 0.00188520, TIME: 412.4s
STEP [2820], EPOCH [2/100], ITER [1146/1674] 
LOSS: 0.00371069, TIME: 415.3s
STEP [2840], EPOCH [2/100], ITER [1166/1674] 
LOSS: 0.00236256, TIME: 418.2s
STEP [2860], EPOCH [2/100], ITER [1186/1674] 
LOSS: 0.00140468, TIME: 421.0s
STEP [2880], EPOCH [2/100], ITER [1206/1674] 
LOSS: 0.00202960, TIME: 423.9s
STEP [2900], EPOCH [2/100], ITER [1226/1674] 
LOSS: 0.00259153, TIME: 426.7s
STEP [2920], EPOCH [2/100], ITER [1246/1674] 
LOSS: 0.00279974, TIME: 429.6s
STEP [2940], EPOCH [2/100], ITER [1266/1674] 
LOSS: 0.00180847, TIME: 432.5s
STEP [2960], EPOCH [2/100], ITER [1286/1674] 
LOSS: 0.00211542, TIME: 435.3s
STEP [2980], EPOCH [2/100], ITER [1306/1674] 
LOSS: 0.00199918, TIME: 438.2s
STEP [3000], EPOCH [2/100], ITER [1326/1674] 
LOSS: 0.00190997, TIME: 441.1s
STEP [3020], EPOCH [2/100], ITER [1346/1674] 
LOSS: 0.00243725, TIME: 444.0s
STEP [3040], EPOCH [2/100], ITER [1366/1674] 
LOSS: 0.00277100, TIME: 446.9s
STEP [3060], EPOCH [2/100], ITER [1386/1674] 
LOSS: 0.00276769, TIME: 449.7s
STEP [3080], EPOCH [2/100], ITER [1406/1674] 
LOSS: 0.00188237, TIME: 452.6s
STEP [3100], EPOCH [2/100], ITER [1426/1674] 
LOSS: 0.00144302, TIME: 455.5s
STEP [3120], EPOCH [2/100], ITER [1446/1674] 
LOSS: 0.00167598, TIME: 458.3s
STEP [3140], EPOCH [2/100], ITER [1466/1674] 
LOSS: 0.00220512, TIME: 461.2s
STEP [3160], EPOCH [2/100], ITER [1486/1674] 
LOSS: 0.00322318, TIME: 464.0s
STEP [3180], EPOCH [2/100], ITER [1506/1674] 
LOSS: 0.00263858, TIME: 466.9s
STEP [3200], EPOCH [2/100], ITER [1526/1674] 
LOSS: 0.00219702, TIME: 469.8s
STEP [3220], EPOCH [2/100], ITER [1546/1674] 
LOSS: 0.00180499, TIME: 472.6s
STEP [3240], EPOCH [2/100], ITER [1566/1674] 
LOSS: 0.00217443, TIME: 475.5s
STEP [3260], EPOCH [2/100], ITER [1586/1674] 
LOSS: 0.00158455, TIME: 478.4s
STEP [3280], EPOCH [2/100], ITER [1606/1674] 
LOSS: 0.00208524, TIME: 481.2s
STEP [3300], EPOCH [2/100], ITER [1626/1674] 
LOSS: 0.00247635, TIME: 484.1s
STEP [3320], EPOCH [2/100], ITER [1646/1674] 
LOSS: 0.00208302, TIME: 487.0s
STEP [3340], EPOCH [2/100], ITER [1666/1674] 
LOSS: 0.00221891, TIME: 490.7s
STEP [3360], EPOCH [3/100], ITER [12/1674] 
LOSS: 0.00195932, TIME: 496.3s
STEP [3380], EPOCH [3/100], ITER [32/1674] 
LOSS: 0.00159404, TIME: 499.3s
STEP [3400], EPOCH [3/100], ITER [52/1674] 
LOSS: 0.00310098, TIME: 502.2s
STEP [3420], EPOCH [3/100], ITER [72/1674] 
LOSS: 0.00161086, TIME: 505.2s
STEP [3440], EPOCH [3/100], ITER [92/1674] 
LOSS: 0.00158167, TIME: 508.0s
STEP [3460], EPOCH [3/100], ITER [112/1674] 
LOSS: 0.00231217, TIME: 510.9s
STEP [3480], EPOCH [3/100], ITER [132/1674] 
LOSS: 0.00107536, TIME: 513.8s
STEP [3500], EPOCH [3/100], ITER [152/1674] 
LOSS: 0.00163218, TIME: 516.6s
STEP [3520], EPOCH [3/100], ITER [172/1674] 
LOSS: 0.00193770, TIME: 519.5s
STEP [3540], EPOCH [3/100], ITER [192/1674] 
LOSS: 0.00121807, TIME: 523.3s
STEP [3560], EPOCH [3/100], ITER [212/1674] 
LOSS: 0.00227738, TIME: 526.3s
STEP [3580], EPOCH [3/100], ITER [232/1674] 
LOSS: 0.00203847, TIME: 529.2s
STEP [3600], EPOCH [3/100], ITER [252/1674] 
LOSS: 0.00161046, TIME: 532.2s
STEP [3620], EPOCH [3/100], ITER [272/1674] 
LOSS: 0.00216833, TIME: 535.2s
STEP [3640], EPOCH [3/100], ITER [292/1674] 
LOSS: 0.00193609, TIME: 538.0s
STEP [3660], EPOCH [3/100], ITER [312/1674] 
LOSS: 0.00159823, TIME: 540.9s
STEP [3680], EPOCH [3/100], ITER [332/1674] 
LOSS: 0.00214030, TIME: 543.8s
STEP [3700], EPOCH [3/100], ITER [352/1674] 
LOSS: 0.00235441, TIME: 546.6s
STEP [3720], EPOCH [3/100], ITER [372/1674] 
LOSS: 0.00163897, TIME: 549.5s
STEP [3740], EPOCH [3/100], ITER [392/1674] 
LOSS: 0.00253394, TIME: 552.4s
STEP [3760], EPOCH [3/100], ITER [412/1674] 
LOSS: 0.00160416, TIME: 556.1s
STEP [3780], EPOCH [3/100], ITER [432/1674] 
LOSS: 0.00138725, TIME: 559.1s
STEP [3800], EPOCH [3/100], ITER [452/1674] 
LOSS: 0.00248653, TIME: 562.1s
STEP [3820], EPOCH [3/100], ITER [472/1674] 
LOSS: 0.00155077, TIME: 565.1s
STEP [3840], EPOCH [3/100], ITER [492/1674] 
LOSS: 0.00148978, TIME: 568.1s
STEP [3860], EPOCH [3/100], ITER [512/1674] 
LOSS: 0.00261964, TIME: 570.9s
STEP [3880], EPOCH [3/100], ITER [532/1674] 
LOSS: 0.00190561, TIME: 573.8s
STEP [3900], EPOCH [3/100], ITER [552/1674] 
LOSS: 0.00113350, TIME: 576.7s
STEP [3920], EPOCH [3/100], ITER [572/1674] 
LOSS: 0.00168042, TIME: 579.5s
STEP [3940], EPOCH [3/100], ITER [592/1674] 
LOSS: 0.00193424, TIME: 582.4s
STEP [3960], EPOCH [3/100], ITER [612/1674] 
LOSS: 0.00169338, TIME: 586.1s
STEP [3980], EPOCH [3/100], ITER [632/1674] 
LOSS: 0.00211436, TIME: 589.1s
STEP [4000], EPOCH [3/100], ITER [652/1674] 
LOSS: 0.00226357, TIME: 592.1s
STEP [4020], EPOCH [3/100], ITER [672/1674] 
LOSS: 0.00188369, TIME: 595.1s
STEP [4040], EPOCH [3/100], ITER [692/1674] 
LOSS: 0.00346247, TIME: 598.2s
STEP [4060], EPOCH [3/100], ITER [712/1674] 
LOSS: 0.00157188, TIME: 601.0s
STEP [4080], EPOCH [3/100], ITER [732/1674] 
LOSS: 0.00171839, TIME: 603.9s
STEP [4100], EPOCH [3/100], ITER [752/1674] 
LOSS: 0.00148223, TIME: 606.8s
STEP [4120], EPOCH [3/100], ITER [772/1674] 
LOSS: 0.00244370, TIME: 609.6s
STEP [4140], EPOCH [3/100], ITER [792/1674] 
LOSS: 0.00162624, TIME: 612.5s
STEP [4160], EPOCH [3/100], ITER [812/1674] 
LOSS: 0.00160936, TIME: 616.2s
STEP [4180], EPOCH [3/100], ITER [832/1674] 
LOSS: 0.00181308, TIME: 619.2s
STEP [4200], EPOCH [3/100], ITER [852/1674] 
LOSS: 0.00193660, TIME: 622.2s
STEP [4220], EPOCH [3/100], ITER [872/1674] 
LOSS: 0.00243152, TIME: 625.2s
STEP [4240], EPOCH [3/100], ITER [892/1674] 
LOSS: 0.00205296, TIME: 628.2s
STEP [4260], EPOCH [3/100], ITER [912/1674] 
LOSS: 0.00180175, TIME: 631.1s
STEP [4280], EPOCH [3/100], ITER [932/1674] 
LOSS: 0.00233075, TIME: 634.0s
STEP [4300], EPOCH [3/100], ITER [952/1674] 
LOSS: 0.00243227, TIME: 636.9s
STEP [4320], EPOCH [3/100], ITER [972/1674] 
LOSS: 0.00207016, TIME: 639.7s
STEP [4340], EPOCH [3/100], ITER [992/1674] 
LOSS: 0.00213810, TIME: 642.6s
STEP [4360], EPOCH [3/100], ITER [1012/1674] 
LOSS: 0.00188494, TIME: 645.5s
STEP [4380], EPOCH [3/100], ITER [1032/1674] 
LOSS: 0.00214900, TIME: 648.3s
STEP [4400], EPOCH [3/100], ITER [1052/1674] 
LOSS: 0.00148632, TIME: 651.2s
STEP [4420], EPOCH [3/100], ITER [1072/1674] 
LOSS: 0.00310308, TIME: 654.1s
STEP [4440], EPOCH [3/100], ITER [1092/1674] 
LOSS: 0.00127334, TIME: 656.9s
STEP [4460], EPOCH [3/100], ITER [1112/1674] 
LOSS: 0.00204265, TIME: 659.8s
STEP [4480], EPOCH [3/100], ITER [1132/1674] 
LOSS: 0.00369000, TIME: 662.7s
STEP [4500], EPOCH [3/100], ITER [1152/1674] 
LOSS: 0.00206863, TIME: 665.5s
STEP [4520], EPOCH [3/100], ITER [1172/1674] 
LOSS: 0.00135129, TIME: 668.4s
STEP [4540], EPOCH [3/100], ITER [1192/1674] 
LOSS: 0.00172430, TIME: 671.3s
STEP [4560], EPOCH [3/100], ITER [1212/1674] 
LOSS: 0.00243385, TIME: 674.1s
STEP [4580], EPOCH [3/100], ITER [1232/1674] 
LOSS: 0.00222548, TIME: 677.0s
STEP [4600], EPOCH [3/100], ITER [1252/1674] 
LOSS: 0.00166591, TIME: 679.9s
STEP [4620], EPOCH [3/100], ITER [1272/1674] 
LOSS: 0.00165331, TIME: 682.7s
STEP [4640], EPOCH [3/100], ITER [1292/1674] 
LOSS: 0.00219916, TIME: 685.6s
STEP [4660], EPOCH [3/100], ITER [1312/1674] 
LOSS: 0.00172992, TIME: 688.5s
STEP [4680], EPOCH [3/100], ITER [1332/1674] 
LOSS: 0.00215540, TIME: 691.3s
STEP [4700], EPOCH [3/100], ITER [1352/1674] 
LOSS: 0.00183565, TIME: 694.2s
STEP [4720], EPOCH [3/100], ITER [1372/1674] 
LOSS: 0.00187064, TIME: 697.1s
STEP [4740], EPOCH [3/100], ITER [1392/1674] 
LOSS: 0.00148428, TIME: 699.9s
STEP [4760], EPOCH [3/100], ITER [1412/1674] 
LOSS: 0.00221134, TIME: 702.8s
STEP [4780], EPOCH [3/100], ITER [1432/1674] 
LOSS: 0.00189312, TIME: 705.7s
STEP [4800], EPOCH [3/100], ITER [1452/1674] 
LOSS: 0.00111045, TIME: 708.5s
STEP [4820], EPOCH [3/100], ITER [1472/1674] 
LOSS: 0.00159117, TIME: 711.4s
STEP [4840], EPOCH [3/100], ITER [1492/1674] 
LOSS: 0.00227101, TIME: 714.3s
STEP [4860], EPOCH [3/100], ITER [1512/1674] 
LOSS: 0.00216284, TIME: 717.1s
STEP [4880], EPOCH [3/100], ITER [1532/1674] 
LOSS: 0.00157793, TIME: 720.0s
STEP [4900], EPOCH [3/100], ITER [1552/1674] 
LOSS: 0.00152967, TIME: 722.9s
STEP [4920], EPOCH [3/100], ITER [1572/1674] 
LOSS: 0.00113297, TIME: 725.7s
STEP [4940], EPOCH [3/100], ITER [1592/1674] 
LOSS: 0.00220963, TIME: 728.6s
STEP [4960], EPOCH [3/100], ITER [1612/1674] 
LOSS: 0.00208388, TIME: 731.5s
STEP [4980], EPOCH [3/100], ITER [1632/1674] 
LOSS: 0.00213620, TIME: 734.3s
STEP [5000], EPOCH [3/100], ITER [1652/1674] 
LOSS: 0.00136576, TIME: 737.2s
STEP [5020], EPOCH [3/100], ITER [1672/1674] 
LOSS: 0.00174230, TIME: 740.2s
STEP [5040], EPOCH [4/100], ITER [18/1674] 
LOSS: 0.00207535, TIME: 745.5s
STEP [5060], EPOCH [4/100], ITER [38/1674] 
LOSS: 0.00276342, TIME: 748.4s
STEP [5080], EPOCH [4/100], ITER [58/1674] 
LOSS: 0.00188298, TIME: 751.3s
STEP [5100], EPOCH [4/100], ITER [78/1674] 
LOSS: 0.00139975, TIME: 754.1s
STEP [5120], EPOCH [4/100], ITER [98/1674] 
LOSS: 0.00176387, TIME: 757.0s
STEP [5140], EPOCH [4/100], ITER [118/1674] 
LOSS: 0.00152462, TIME: 759.9s
STEP [5160], EPOCH [4/100], ITER [138/1674] 
LOSS: 0.00169183, TIME: 762.7s
STEP [5180], EPOCH [4/100], ITER [158/1674] 
LOSS: 0.00201933, TIME: 765.6s
STEP [5200], EPOCH [4/100], ITER [178/1674] 
LOSS: 0.00198338, TIME: 768.4s
STEP [5220], EPOCH [4/100], ITER [198/1674] 
LOSS: 0.00212375, TIME: 771.3s
STEP [5240], EPOCH [4/100], ITER [218/1674] 
LOSS: 0.00168073, TIME: 774.2s
STEP [5260], EPOCH [4/100], ITER [238/1674] 
LOSS: 0.00171798, TIME: 777.0s
STEP [5280], EPOCH [4/100], ITER [258/1674] 
LOSS: 0.00274348, TIME: 780.8s
STEP [5300], EPOCH [4/100], ITER [278/1674] 
LOSS: 0.00249558, TIME: 783.7s
STEP [5320], EPOCH [4/100], ITER [298/1674] 
LOSS: 0.00143846, TIME: 786.7s
STEP [5340], EPOCH [4/100], ITER [318/1674] 
LOSS: 0.00188469, TIME: 789.7s
STEP [5360], EPOCH [4/100], ITER [338/1674] 
LOSS: 0.00179180, TIME: 792.7s
STEP [5380], EPOCH [4/100], ITER [358/1674] 
LOSS: 0.00188167, TIME: 795.6s
STEP [5400], EPOCH [4/100], ITER [378/1674] 
LOSS: 0.00151648, TIME: 798.5s
STEP [5420], EPOCH [4/100], ITER [398/1674] 
LOSS: 0.00183722, TIME: 801.4s
STEP [5440], EPOCH [4/100], ITER [418/1674] 
LOSS: 0.00159926, TIME: 804.2s
STEP [5460], EPOCH [4/100], ITER [438/1674] 
LOSS: 0.00139373, TIME: 807.1s
STEP [5480], EPOCH [4/100], ITER [458/1674] 
LOSS: 0.00157906, TIME: 810.0s
STEP [5500], EPOCH [4/100], ITER [478/1674] 
LOSS: 0.00152288, TIME: 812.8s
STEP [5520], EPOCH [4/100], ITER [498/1674] 
LOSS: 0.00218628, TIME: 815.7s
STEP [5540], EPOCH [4/100], ITER [518/1674] 
LOSS: 0.00157061, TIME: 818.6s
STEP [5560], EPOCH [4/100], ITER [538/1674] 
LOSS: 0.00175499, TIME: 821.4s
STEP [5580], EPOCH [4/100], ITER [558/1674] 
LOSS: 0.00211606, TIME: 824.3s
STEP [5600], EPOCH [4/100], ITER [578/1674] 
LOSS: 0.00185851, TIME: 827.2s
STEP [5620], EPOCH [4/100], ITER [598/1674] 
LOSS: 0.00177001, TIME: 830.0s
STEP [5640], EPOCH [4/100], ITER [618/1674] 
LOSS: 0.00173271, TIME: 832.9s
STEP [5660], EPOCH [4/100], ITER [638/1674] 
LOSS: 0.00208864, TIME: 835.8s
STEP [5680], EPOCH [4/100], ITER [658/1674] 
LOSS: 0.00146763, TIME: 838.6s
STEP [5700], EPOCH [4/100], ITER [678/1674] 
LOSS: 0.00299356, TIME: 841.5s
STEP [5720], EPOCH [4/100], ITER [698/1674] 
LOSS: 0.00166329, TIME: 844.4s
STEP [5740], EPOCH [4/100], ITER [718/1674] 
LOSS: 0.00235475, TIME: 847.2s
STEP [5760], EPOCH [4/100], ITER [738/1674] 
LOSS: 0.00286837, TIME: 850.1s
STEP [5780], EPOCH [4/100], ITER [758/1674] 
LOSS: 0.00129279, TIME: 853.0s
STEP [5800], EPOCH [4/100], ITER [778/1674] 
LOSS: 0.00212931, TIME: 855.8s
STEP [5820], EPOCH [4/100], ITER [798/1674] 
LOSS: 0.00157242, TIME: 858.7s
STEP [5840], EPOCH [4/100], ITER [818/1674] 
LOSS: 0.00142829, TIME: 861.5s
STEP [5860], EPOCH [4/100], ITER [838/1674] 
LOSS: 0.00173015, TIME: 864.4s
STEP [5880], EPOCH [4/100], ITER [858/1674] 
LOSS: 0.00152541, TIME: 867.3s
STEP [5900], EPOCH [4/100], ITER [878/1674] 
LOSS: 0.00158178, TIME: 870.1s
STEP [5920], EPOCH [4/100], ITER [898/1674] 
LOSS: 0.00191702, TIME: 873.0s
STEP [5940], EPOCH [4/100], ITER [918/1674] 
LOSS: 0.00205112, TIME: 875.9s
STEP [5960], EPOCH [4/100], ITER [938/1674] 
LOSS: 0.00205285, TIME: 878.7s
STEP [5980], EPOCH [4/100], ITER [958/1674] 
LOSS: 0.00193855, TIME: 881.6s
STEP [6000], EPOCH [4/100], ITER [978/1674] 
LOSS: 0.00165005, TIME: 884.5s
STEP [6020], EPOCH [4/100], ITER [998/1674] 
LOSS: 0.00168513, TIME: 887.4s
STEP [6040], EPOCH [4/100], ITER [1018/1674] 
LOSS: 0.00137334, TIME: 890.3s
STEP [6060], EPOCH [4/100], ITER [1038/1674] 
LOSS: 0.00190452, TIME: 893.1s
STEP [6080], EPOCH [4/100], ITER [1058/1674] 
LOSS: 0.00232101, TIME: 896.0s
STEP [6100], EPOCH [4/100], ITER [1078/1674] 
LOSS: 0.00165186, TIME: 898.9s
STEP [6120], EPOCH [4/100], ITER [1098/1674] 
LOSS: 0.00159163, TIME: 901.7s
STEP [6140], EPOCH [4/100], ITER [1118/1674] 
LOSS: 0.00221371, TIME: 904.6s
STEP [6160], EPOCH [4/100], ITER [1138/1674] 
LOSS: 0.00170615, TIME: 907.5s
STEP [6180], EPOCH [4/100], ITER [1158/1674] 
LOSS: 0.00190882, TIME: 910.3s
STEP [6200], EPOCH [4/100], ITER [1178/1674] 
LOSS: 0.00192422, TIME: 913.2s
STEP [6220], EPOCH [4/100], ITER [1198/1674] 
LOSS: 0.00254465, TIME: 916.1s
STEP [6240], EPOCH [4/100], ITER [1218/1674] 
LOSS: 0.00239367, TIME: 918.9s
STEP [6260], EPOCH [4/100], ITER [1238/1674] 
LOSS: 0.00308691, TIME: 921.8s
STEP [6280], EPOCH [4/100], ITER [1258/1674] 
LOSS: 0.00183794, TIME: 924.7s
STEP [6300], EPOCH [4/100], ITER [1278/1674] 
LOSS: 0.00201514, TIME: 927.5s
STEP [6320], EPOCH [4/100], ITER [1298/1674] 
LOSS: 0.00142324, TIME: 930.4s
STEP [6340], EPOCH [4/100], ITER [1318/1674] 
LOSS: 0.00143166, TIME: 933.3s
STEP [6360], EPOCH [4/100], ITER [1338/1674] 
LOSS: 0.00174163, TIME: 936.1s
STEP [6380], EPOCH [4/100], ITER [1358/1674] 
LOSS: 0.00198303, TIME: 939.0s
STEP [6400], EPOCH [4/100], ITER [1378/1674] 
LOSS: 0.00179932, TIME: 941.9s
STEP [6420], EPOCH [4/100], ITER [1398/1674] 
LOSS: 0.00216295, TIME: 944.7s
STEP [6440], EPOCH [4/100], ITER [1418/1674] 
LOSS: 0.00151042, TIME: 947.6s
STEP [6460], EPOCH [4/100], ITER [1438/1674] 
LOSS: 0.00182765, TIME: 950.4s
STEP [6480], EPOCH [4/100], ITER [1458/1674] 
LOSS: 0.00116144, TIME: 953.3s
STEP [6500], EPOCH [4/100], ITER [1478/1674] 
LOSS: 0.00137278, TIME: 956.2s
STEP [6520], EPOCH [4/100], ITER [1498/1674] 
LOSS: 0.00179722, TIME: 959.0s
STEP [6540], EPOCH [4/100], ITER [1518/1674] 
LOSS: 0.00172982, TIME: 961.9s
STEP [6560], EPOCH [4/100], ITER [1538/1674] 
LOSS: 0.00185125, TIME: 964.8s
STEP [6580], EPOCH [4/100], ITER [1558/1674] 
LOSS: 0.00144642, TIME: 967.6s
STEP [6600], EPOCH [4/100], ITER [1578/1674] 
LOSS: 0.00107547, TIME: 970.5s
STEP [6620], EPOCH [4/100], ITER [1598/1674] 
LOSS: 0.00136389, TIME: 973.4s
STEP [6640], EPOCH [4/100], ITER [1618/1674] 
LOSS: 0.00119606, TIME: 976.2s
STEP [6660], EPOCH [4/100], ITER [1638/1674] 
LOSS: 0.00243316, TIME: 979.1s
STEP [6680], EPOCH [4/100], ITER [1658/1674] 
LOSS: 0.00156207, TIME: 982.0s
STEP [6700], EPOCH [5/100], ITER [4/1674] 
LOSS: 0.00216385, TIME: 987.5s
STEP [6720], EPOCH [5/100], ITER [24/1674] 
LOSS: 0.00172317, TIME: 990.3s
STEP [6740], EPOCH [5/100], ITER [44/1674] 
LOSS: 0.00145889, TIME: 993.2s
STEP [6760], EPOCH [5/100], ITER [64/1674] 
LOSS: 0.00174249, TIME: 996.1s
STEP [6780], EPOCH [5/100], ITER [84/1674] 
LOSS: 0.00198570, TIME: 998.9s
STEP [6800], EPOCH [5/100], ITER [104/1674] 
LOSS: 0.00170366, TIME: 1001.8s
STEP [6820], EPOCH [5/100], ITER [124/1674] 
LOSS: 0.00206283, TIME: 1004.7s
STEP [6840], EPOCH [5/100], ITER [144/1674] 
LOSS: 0.00137006, TIME: 1007.5s
STEP [6860], EPOCH [5/100], ITER [164/1674] 
LOSS: 0.00136436, TIME: 1010.4s
STEP [6880], EPOCH [5/100], ITER [184/1674] 
LOSS: 0.00176134, TIME: 1013.2s
STEP [6900], EPOCH [5/100], ITER [204/1674] 
LOSS: 0.00155505, TIME: 1016.1s
STEP [6920], EPOCH [5/100], ITER [224/1674] 
LOSS: 0.00255358, TIME: 1019.0s
STEP [6940], EPOCH [5/100], ITER [244/1674] 
LOSS: 0.00200034, TIME: 1021.8s
STEP [6960], EPOCH [5/100], ITER [264/1674] 
LOSS: 0.00194233, TIME: 1024.7s
STEP [6980], EPOCH [5/100], ITER [284/1674] 
LOSS: 0.00192840, TIME: 1027.6s
STEP [7000], EPOCH [5/100], ITER [304/1674] 
LOSS: 0.00167344, TIME: 1030.4s
STEP [7020], EPOCH [5/100], ITER [324/1674] 
LOSS: 0.00170109, TIME: 1033.4s
STEP [7040], EPOCH [5/100], ITER [344/1674] 
LOSS: 0.00115518, TIME: 1036.2s
STEP [7060], EPOCH [5/100], ITER [364/1674] 
LOSS: 0.00195642, TIME: 1039.1s
STEP [7080], EPOCH [5/100], ITER [384/1674] 
LOSS: 0.00183075, TIME: 1042.0s
STEP [7100], EPOCH [5/100], ITER [404/1674] 
LOSS: 0.00253323, TIME: 1044.8s
STEP [7120], EPOCH [5/100], ITER [424/1674] 
LOSS: 0.00149125, TIME: 1047.7s
STEP [7140], EPOCH [5/100], ITER [444/1674] 
LOSS: 0.00185775, TIME: 1050.6s
STEP [7160], EPOCH [5/100], ITER [464/1674] 
LOSS: 0.00203140, TIME: 1053.4s
STEP [7180], EPOCH [5/100], ITER [484/1674] 
LOSS: 0.00213289, TIME: 1056.3s
STEP [7200], EPOCH [5/100], ITER [504/1674] 
LOSS: 0.00181725, TIME: 1059.2s
STEP [7220], EPOCH [5/100], ITER [524/1674] 
LOSS: 0.00207108, TIME: 1062.0s
STEP [7240], EPOCH [5/100], ITER [544/1674] 
LOSS: 0.00286796, TIME: 1064.9s
STEP [7260], EPOCH [5/100], ITER [564/1674] 
LOSS: 0.00200824, TIME: 1067.8s
STEP [7280], EPOCH [5/100], ITER [584/1674] 
LOSS: 0.00181095, TIME: 1070.6s
STEP [7300], EPOCH [5/100], ITER [604/1674] 
LOSS: 0.00176420, TIME: 1073.5s
STEP [7320], EPOCH [5/100], ITER [624/1674] 
LOSS: 0.00177509, TIME: 1076.3s
STEP [7340], EPOCH [5/100], ITER [644/1674] 
LOSS: 0.00229011, TIME: 1079.2s
STEP [7360], EPOCH [5/100], ITER [664/1674] 
LOSS: 0.00100901, TIME: 1082.1s
STEP [7380], EPOCH [5/100], ITER [684/1674] 
LOSS: 0.00201125, TIME: 1084.9s
STEP [7400], EPOCH [5/100], ITER [704/1674] 
LOSS: 0.00210033, TIME: 1087.8s
STEP [7420], EPOCH [5/100], ITER [724/1674] 
LOSS: 0.00155731, TIME: 1090.7s
STEP [7440], EPOCH [5/100], ITER [744/1674] 
LOSS: 0.00104028, TIME: 1093.5s
STEP [7460], EPOCH [5/100], ITER [764/1674] 
LOSS: 0.00169789, TIME: 1096.4s
STEP [7480], EPOCH [5/100], ITER [784/1674] 
LOSS: 0.00195512, TIME: 1099.3s
STEP [7500], EPOCH [5/100], ITER [804/1674] 
LOSS: 0.00147471, TIME: 1102.1s
STEP [7520], EPOCH [5/100], ITER [824/1674] 
LOSS: 0.00209821, TIME: 1105.0s
STEP [7540], EPOCH [5/100], ITER [844/1674] 
LOSS: 0.00226633, TIME: 1107.9s
STEP [7560], EPOCH [5/100], ITER [864/1674] 
LOSS: 0.00278686, TIME: 1110.7s
STEP [7580], EPOCH [5/100], ITER [884/1674] 
LOSS: 0.00240789, TIME: 1113.6s
STEP [7600], EPOCH [5/100], ITER [904/1674] 
LOSS: 0.00168898, TIME: 1116.5s
STEP [7620], EPOCH [5/100], ITER [924/1674] 
LOSS: 0.00123480, TIME: 1119.3s
STEP [7640], EPOCH [5/100], ITER [944/1674] 
LOSS: 0.00154719, TIME: 1122.2s
STEP [7660], EPOCH [5/100], ITER [964/1674] 
LOSS: 0.00163538, TIME: 1125.1s
STEP [7680], EPOCH [5/100], ITER [984/1674] 
LOSS: 0.00150585, TIME: 1127.9s
STEP [7700], EPOCH [5/100], ITER [1004/1674] 
LOSS: 0.00181513, TIME: 1130.8s
STEP [7720], EPOCH [5/100], ITER [1024/1674] 
LOSS: 0.00272082, TIME: 1133.7s
STEP [7740], EPOCH [5/100], ITER [1044/1674] 
LOSS: 0.00259892, TIME: 1136.5s
STEP [7760], EPOCH [5/100], ITER [1064/1674] 
LOSS: 0.00151585, TIME: 1139.4s
STEP [7780], EPOCH [5/100], ITER [1084/1674] 
LOSS: 0.00212566, TIME: 1142.3s
STEP [7800], EPOCH [5/100], ITER [1104/1674] 
LOSS: 0.00175939, TIME: 1145.1s
STEP [7820], EPOCH [5/100], ITER [1124/1674] 
LOSS: 0.00256174, TIME: 1148.0s
STEP [7840], EPOCH [5/100], ITER [1144/1674] 
LOSS: 0.00174810, TIME: 1150.9s
STEP [7860], EPOCH [5/100], ITER [1164/1674] 
LOSS: 0.00185903, TIME: 1153.7s
STEP [7880], EPOCH [5/100], ITER [1184/1674] 
LOSS: 0.00167824, TIME: 1156.6s
STEP [7900], EPOCH [5/100], ITER [1204/1674] 
LOSS: 0.00130607, TIME: 1159.5s
STEP [7920], EPOCH [5/100], ITER [1224/1674] 
LOSS: 0.00233405, TIME: 1162.3s
STEP [7940], EPOCH [5/100], ITER [1244/1674] 
LOSS: 0.00176346, TIME: 1165.2s
STEP [7960], EPOCH [5/100], ITER [1264/1674] 
LOSS: 0.00146754, TIME: 1168.1s
STEP [7980], EPOCH [5/100], ITER [1284/1674] 
LOSS: 0.00138380, TIME: 1170.9s
STEP [8000], EPOCH [5/100], ITER [1304/1674] 
LOSS: 0.00224320, TIME: 1173.8s
STEP [8020], EPOCH [5/100], ITER [1324/1674] 
LOSS: 0.00258620, TIME: 1176.7s
STEP [8040], EPOCH [5/100], ITER [1344/1674] 
LOSS: 0.00212086, TIME: 1179.6s
STEP [8060], EPOCH [5/100], ITER [1364/1674] 
LOSS: 0.00313618, TIME: 1182.5s
STEP [8080], EPOCH [5/100], ITER [1384/1674] 
LOSS: 0.00201722, TIME: 1185.3s
STEP [8100], EPOCH [5/100], ITER [1404/1674] 
LOSS: 0.00160648, TIME: 1188.2s
STEP [8120], EPOCH [5/100], ITER [1424/1674] 
LOSS: 0.00289648, TIME: 1191.1s
STEP [8140], EPOCH [5/100], ITER [1444/1674] 
LOSS: 0.00199902, TIME: 1193.9s
STEP [8160], EPOCH [5/100], ITER [1464/1674] 
LOSS: 0.00223259, TIME: 1196.8s
STEP [8180], EPOCH [5/100], ITER [1484/1674] 
LOSS: 0.00181566, TIME: 1199.6s
STEP [8200], EPOCH [5/100], ITER [1504/1674] 
LOSS: 0.00221979, TIME: 1202.5s
STEP [8220], EPOCH [5/100], ITER [1524/1674] 
LOSS: 0.00244747, TIME: 1205.4s
STEP [8240], EPOCH [5/100], ITER [1544/1674] 
LOSS: 0.00135331, TIME: 1208.2s
STEP [8260], EPOCH [5/100], ITER [1564/1674] 
LOSS: 0.00143886, TIME: 1211.1s
STEP [8280], EPOCH [5/100], ITER [1584/1674] 
LOSS: 0.00212836, TIME: 1214.0s
STEP [8300], EPOCH [5/100], ITER [1604/1674] 
LOSS: 0.00145033, TIME: 1216.8s
STEP [8320], EPOCH [5/100], ITER [1624/1674] 
LOSS: 0.00233545, TIME: 1219.7s
STEP [8340], EPOCH [5/100], ITER [1644/1674] 
LOSS: 0.00221190, TIME: 1222.5s
STEP [8360], EPOCH [5/100], ITER [1664/1674] 
LOSS: 0.00219753, TIME: 1225.4s
STEP [8380], EPOCH [6/100], ITER [10/1674] 
LOSS: 0.00133404, TIME: 1230.5s
STEP [8400], EPOCH [6/100], ITER [30/1674] 
LOSS: 0.00164395, TIME: 1233.3s
STEP [8420], EPOCH [6/100], ITER [50/1674] 
LOSS: 0.00208867, TIME: 1236.2s
STEP [8440], EPOCH [6/100], ITER [70/1674] 
LOSS: 0.00267975, TIME: 1239.1s
STEP [8460], EPOCH [6/100], ITER [90/1674] 
LOSS: 0.00241572, TIME: 1241.9s
STEP [8480], EPOCH [6/100], ITER [110/1674] 
LOSS: 0.00197885, TIME: 1244.8s
STEP [8500], EPOCH [6/100], ITER [130/1674] 
LOSS: 0.00123785, TIME: 1247.6s
STEP [8520], EPOCH [6/100], ITER [150/1674] 
LOSS: 0.00230430, TIME: 1250.5s
STEP [8540], EPOCH [6/100], ITER [170/1674] 
LOSS: 0.00153793, TIME: 1253.4s
STEP [8560], EPOCH [6/100], ITER [190/1674] 
LOSS: 0.00144018, TIME: 1256.2s
STEP [8580], EPOCH [6/100], ITER [210/1674] 
LOSS: 0.00179640, TIME: 1259.1s
STEP [8600], EPOCH [6/100], ITER [230/1674] 
LOSS: 0.00176022, TIME: 1262.0s
STEP [8620], EPOCH [6/100], ITER [250/1674] 
LOSS: 0.00244523, TIME: 1264.8s
STEP [8640], EPOCH [6/100], ITER [270/1674] 
LOSS: 0.00170491, TIME: 1267.7s
STEP [8660], EPOCH [6/100], ITER [290/1674] 
LOSS: 0.00135353, TIME: 1270.6s
STEP [8680], EPOCH [6/100], ITER [310/1674] 
LOSS: 0.00163140, TIME: 1273.4s
STEP [8700], EPOCH [6/100], ITER [330/1674] 
LOSS: 0.00258787, TIME: 1276.3s
STEP [8720], EPOCH [6/100], ITER [350/1674] 
LOSS: 0.00304221, TIME: 1279.2s
STEP [8740], EPOCH [6/100], ITER [370/1674] 
LOSS: 0.00214277, TIME: 1282.0s
STEP [8760], EPOCH [6/100], ITER [390/1674] 
LOSS: 0.00138501, TIME: 1284.9s
STEP [8780], EPOCH [6/100], ITER [410/1674] 
LOSS: 0.00179482, TIME: 1287.8s
STEP [8800], EPOCH [6/100], ITER [430/1674] 
LOSS: 0.00193531, TIME: 1290.6s
STEP [8820], EPOCH [6/100], ITER [450/1674] 
LOSS: 0.00171603, TIME: 1293.5s
STEP [8840], EPOCH [6/100], ITER [470/1674] 
LOSS: 0.00133480, TIME: 1296.3s
STEP [8860], EPOCH [6/100], ITER [490/1674] 
LOSS: 0.00278561, TIME: 1299.2s
STEP [8880], EPOCH [6/100], ITER [510/1674] 
LOSS: 0.00152682, TIME: 1302.1s
STEP [8900], EPOCH [6/100], ITER [530/1674] 
LOSS: 0.00164796, TIME: 1304.9s
STEP [8920], EPOCH [6/100], ITER [550/1674] 
LOSS: 0.00228072, TIME: 1307.8s
STEP [8940], EPOCH [6/100], ITER [570/1674] 
LOSS: 0.00160628, TIME: 1310.7s
STEP [8960], EPOCH [6/100], ITER [590/1674] 
LOSS: 0.00192070, TIME: 1313.5s
STEP [8980], EPOCH [6/100], ITER [610/1674] 
LOSS: 0.00212932, TIME: 1316.4s
STEP [9000], EPOCH [6/100], ITER [630/1674] 
LOSS: 0.00195801, TIME: 1319.3s
STEP [9020], EPOCH [6/100], ITER [650/1674] 
LOSS: 0.00170969, TIME: 1322.2s
STEP [9040], EPOCH [6/100], ITER [670/1674] 
LOSS: 0.00185132, TIME: 1325.1s
STEP [9060], EPOCH [6/100], ITER [690/1674] 
LOSS: 0.00184389, TIME: 1327.9s
STEP [9080], EPOCH [6/100], ITER [710/1674] 
LOSS: 0.00152955, TIME: 1330.8s
STEP [9100], EPOCH [6/100], ITER [730/1674] 
LOSS: 0.00203149, TIME: 1333.7s
STEP [9120], EPOCH [6/100], ITER [750/1674] 
LOSS: 0.00187145, TIME: 1336.5s
STEP [9140], EPOCH [6/100], ITER [770/1674] 
LOSS: 0.00184827, TIME: 1339.4s
STEP [9160], EPOCH [6/100], ITER [790/1674] 
LOSS: 0.00157698, TIME: 1342.2s
STEP [9180], EPOCH [6/100], ITER [810/1674] 
LOSS: 0.00146155, TIME: 1345.1s
STEP [9200], EPOCH [6/100], ITER [830/1674] 
LOSS: 0.00331553, TIME: 1348.0s
STEP [9220], EPOCH [6/100], ITER [850/1674] 
LOSS: 0.00124517, TIME: 1350.8s
STEP [9240], EPOCH [6/100], ITER [870/1674] 
LOSS: 0.00128289, TIME: 1353.7s
STEP [9260], EPOCH [6/100], ITER [890/1674] 
LOSS: 0.00201884, TIME: 1356.5s
STEP [9280], EPOCH [6/100], ITER [910/1674] 
LOSS: 0.00180508, TIME: 1359.4s
STEP [9300], EPOCH [6/100], ITER [930/1674] 
LOSS: 0.00214428, TIME: 1362.3s
STEP [9320], EPOCH [6/100], ITER [950/1674] 
LOSS: 0.00195322, TIME: 1365.1s
STEP [9340], EPOCH [6/100], ITER [970/1674] 
LOSS: 0.00209397, TIME: 1368.0s
STEP [9360], EPOCH [6/100], ITER [990/1674] 
LOSS: 0.00192467, TIME: 1370.9s
STEP [9380], EPOCH [6/100], ITER [1010/1674] 
LOSS: 0.00186369, TIME: 1373.7s
STEP [9400], EPOCH [6/100], ITER [1030/1674] 
LOSS: 0.00170024, TIME: 1376.6s
STEP [9420], EPOCH [6/100], ITER [1050/1674] 
LOSS: 0.00246120, TIME: 1379.4s
STEP [9440], EPOCH [6/100], ITER [1070/1674] 
LOSS: 0.00226332, TIME: 1382.3s
STEP [9460], EPOCH [6/100], ITER [1090/1674] 
LOSS: 0.00195740, TIME: 1385.2s
STEP [9480], EPOCH [6/100], ITER [1110/1674] 
LOSS: 0.00219026, TIME: 1388.0s
STEP [9500], EPOCH [6/100], ITER [1130/1674] 
LOSS: 0.00147696, TIME: 1390.9s
STEP [9520], EPOCH [6/100], ITER [1150/1674] 
LOSS: 0.00181015, TIME: 1393.8s
STEP [9540], EPOCH [6/100], ITER [1170/1674] 
LOSS: 0.00230882, TIME: 1396.6s
STEP [9560], EPOCH [6/100], ITER [1190/1674] 
LOSS: 0.00176091, TIME: 1399.5s
STEP [9580], EPOCH [6/100], ITER [1210/1674] 
LOSS: 0.00176076, TIME: 1402.3s
STEP [9600], EPOCH [6/100], ITER [1230/1674] 
LOSS: 0.00145514, TIME: 1405.2s
STEP [9620], EPOCH [6/100], ITER [1250/1674] 
LOSS: 0.00140153, TIME: 1408.1s
STEP [9640], EPOCH [6/100], ITER [1270/1674] 
LOSS: 0.00165411, TIME: 1411.0s
STEP [9660], EPOCH [6/100], ITER [1290/1674] 
LOSS: 0.00113093, TIME: 1413.8s
STEP [9680], EPOCH [6/100], ITER [1310/1674] 
LOSS: 0.00155766, TIME: 1416.7s
STEP [9700], EPOCH [6/100], ITER [1330/1674] 
LOSS: 0.00140439, TIME: 1419.6s
STEP [9720], EPOCH [6/100], ITER [1350/1674] 
LOSS: 0.00207460, TIME: 1422.4s
STEP [9740], EPOCH [6/100], ITER [1370/1674] 
LOSS: 0.00119492, TIME: 1425.3s
STEP [9760], EPOCH [6/100], ITER [1390/1674] 
LOSS: 0.00178642, TIME: 1428.2s
STEP [9780], EPOCH [6/100], ITER [1410/1674] 
LOSS: 0.00223728, TIME: 1431.0s
STEP [9800], EPOCH [6/100], ITER [1430/1674] 
LOSS: 0.00300776, TIME: 1433.9s
STEP [9820], EPOCH [6/100], ITER [1450/1674] 
LOSS: 0.00149496, TIME: 1436.8s
STEP [9840], EPOCH [6/100], ITER [1470/1674] 
LOSS: 0.00172523, TIME: 1439.6s
STEP [9860], EPOCH [6/100], ITER [1490/1674] 
LOSS: 0.00131256, TIME: 1442.5s
STEP [9880], EPOCH [6/100], ITER [1510/1674] 
LOSS: 0.00254084, TIME: 1445.3s
STEP [9900], EPOCH [6/100], ITER [1530/1674] 
LOSS: 0.00219834, TIME: 1448.2s
STEP [9920], EPOCH [6/100], ITER [1550/1674] 
LOSS: 0.00139010, TIME: 1451.1s
STEP [9940], EPOCH [6/100], ITER [1570/1674] 
LOSS: 0.00140025, TIME: 1453.9s
STEP [9960], EPOCH [6/100], ITER [1590/1674] 
LOSS: 0.00197677, TIME: 1456.8s
STEP [9980], EPOCH [6/100], ITER [1610/1674] 
LOSS: 0.00252798, TIME: 1459.7s
STEP [10000], EPOCH [6/100], ITER [1630/1674] 
LOSS: 0.00162217, TIME: 1462.5s
STEP [10020], EPOCH [6/100], ITER [1650/1674] 
LOSS: 0.00201131, TIME: 1465.5s
STEP [10040], EPOCH [6/100], ITER [1670/1674] 
LOSS: 0.00215026, TIME: 1468.3s
STEP [10060], EPOCH [7/100], ITER [16/1674] 
LOSS: 0.00184162, TIME: 1473.7s
STEP [10080], EPOCH [7/100], ITER [36/1674] 
LOSS: 0.00210112, TIME: 1476.5s
STEP [10100], EPOCH [7/100], ITER [56/1674] 
LOSS: 0.00222034, TIME: 1479.4s
STEP [10120], EPOCH [7/100], ITER [76/1674] 
LOSS: 0.00287290, TIME: 1482.3s
STEP [10140], EPOCH [7/100], ITER [96/1674] 
LOSS: 0.00190935, TIME: 1485.1s
STEP [10160], EPOCH [7/100], ITER [116/1674] 
LOSS: 0.00149744, TIME: 1488.0s
STEP [10180], EPOCH [7/100], ITER [136/1674] 
LOSS: 0.00182562, TIME: 1490.9s
STEP [10200], EPOCH [7/100], ITER [156/1674] 
LOSS: 0.00354511, TIME: 1493.7s
STEP [10220], EPOCH [7/100], ITER [176/1674] 
LOSS: 0.00147166, TIME: 1496.6s
STEP [10240], EPOCH [7/100], ITER [196/1674] 
LOSS: 0.00157014, TIME: 1499.5s
STEP [10260], EPOCH [7/100], ITER [216/1674] 
LOSS: 0.00123290, TIME: 1502.3s
STEP [10280], EPOCH [7/100], ITER [236/1674] 
LOSS: 0.00174804, TIME: 1505.2s
STEP [10300], EPOCH [7/100], ITER [256/1674] 
LOSS: 0.00167279, TIME: 1508.1s
STEP [10320], EPOCH [7/100], ITER [276/1674] 
LOSS: 0.00247545, TIME: 1510.9s
STEP [10340], EPOCH [7/100], ITER [296/1674] 
LOSS: 0.00220449, TIME: 1513.8s
STEP [10360], EPOCH [7/100], ITER [316/1674] 
LOSS: 0.00170252, TIME: 1516.6s
STEP [10380], EPOCH [7/100], ITER [336/1674] 
LOSS: 0.00115547, TIME: 1519.5s
STEP [10400], EPOCH [7/100], ITER [356/1674] 
LOSS: 0.00184446, TIME: 1522.4s
STEP [10420], EPOCH [7/100], ITER [376/1674] 
LOSS: 0.00165454, TIME: 1525.2s
STEP [10440], EPOCH [7/100], ITER [396/1674] 
LOSS: 0.00155358, TIME: 1528.1s
STEP [10460], EPOCH [7/100], ITER [416/1674] 
LOSS: 0.00192123, TIME: 1531.0s
STEP [10480], EPOCH [7/100], ITER [436/1674] 
LOSS: 0.00132587, TIME: 1533.8s
STEP [10500], EPOCH [7/100], ITER [456/1674] 
LOSS: 0.00188643, TIME: 1536.7s
STEP [10520], EPOCH [7/100], ITER [476/1674] 
LOSS: 0.00187943, TIME: 1539.6s
STEP [10540], EPOCH [7/100], ITER [496/1674] 
LOSS: 0.00202831, TIME: 1542.4s
STEP [10560], EPOCH [7/100], ITER [516/1674] 
LOSS: 0.00145044, TIME: 1545.3s
STEP [10580], EPOCH [7/100], ITER [536/1674] 
LOSS: 0.00173120, TIME: 1548.2s
STEP [10600], EPOCH [7/100], ITER [556/1674] 
LOSS: 0.00147186, TIME: 1551.0s
STEP [10620], EPOCH [7/100], ITER [576/1674] 
LOSS: 0.00241692, TIME: 1553.9s
STEP [10640], EPOCH [7/100], ITER [596/1674] 
LOSS: 0.00232723, TIME: 1556.8s
STEP [10660], EPOCH [7/100], ITER [616/1674] 
LOSS: 0.00154415, TIME: 1559.6s
STEP [10680], EPOCH [7/100], ITER [636/1674] 
LOSS: 0.00113266, TIME: 1562.5s
STEP [10700], EPOCH [7/100], ITER [656/1674] 
LOSS: 0.00153953, TIME: 1565.4s
STEP [10720], EPOCH [7/100], ITER [676/1674] 
LOSS: 0.00164271, TIME: 1568.2s
STEP [10740], EPOCH [7/100], ITER [696/1674] 
LOSS: 0.00211157, TIME: 1571.1s
STEP [10760], EPOCH [7/100], ITER [716/1674] 
LOSS: 0.00150382, TIME: 1574.0s
STEP [10780], EPOCH [7/100], ITER [736/1674] 
LOSS: 0.00209473, TIME: 1576.8s
STEP [10800], EPOCH [7/100], ITER [756/1674] 
LOSS: 0.00217526, TIME: 1579.7s
STEP [10820], EPOCH [7/100], ITER [776/1674] 
LOSS: 0.00252478, TIME: 1582.6s
STEP [10840], EPOCH [7/100], ITER [796/1674] 
LOSS: 0.00243888, TIME: 1585.4s
STEP [10860], EPOCH [7/100], ITER [816/1674] 
LOSS: 0.00132464, TIME: 1588.3s
STEP [10880], EPOCH [7/100], ITER [836/1674] 
LOSS: 0.00148179, TIME: 1591.2s
STEP [10900], EPOCH [7/100], ITER [856/1674] 
LOSS: 0.00128990, TIME: 1594.0s
STEP [10920], EPOCH [7/100], ITER [876/1674] 
LOSS: 0.00151218, TIME: 1596.9s
STEP [10940], EPOCH [7/100], ITER [896/1674] 
LOSS: 0.00136546, TIME: 1599.8s
STEP [10960], EPOCH [7/100], ITER [916/1674] 
LOSS: 0.00150195, TIME: 1602.6s
STEP [10980], EPOCH [7/100], ITER [936/1674] 
LOSS: 0.00156621, TIME: 1605.5s
STEP [11000], EPOCH [7/100], ITER [956/1674] 
LOSS: 0.00231531, TIME: 1608.4s
STEP [11020], EPOCH [7/100], ITER [976/1674] 
LOSS: 0.00153006, TIME: 1611.3s
STEP [11040], EPOCH [7/100], ITER [996/1674] 
LOSS: 0.00307444, TIME: 1614.2s
STEP [11060], EPOCH [7/100], ITER [1016/1674] 
LOSS: 0.00170453, TIME: 1617.0s
STEP [11080], EPOCH [7/100], ITER [1036/1674] 
LOSS: 0.00153271, TIME: 1619.9s
STEP [11100], EPOCH [7/100], ITER [1056/1674] 
LOSS: 0.00177347, TIME: 1622.8s
STEP [11120], EPOCH [7/100], ITER [1076/1674] 
LOSS: 0.00218887, TIME: 1625.6s
STEP [11140], EPOCH [7/100], ITER [1096/1674] 
LOSS: 0.00152402, TIME: 1628.5s
STEP [11160], EPOCH [7/100], ITER [1116/1674] 
LOSS: 0.00208666, TIME: 1631.3s
STEP [11180], EPOCH [7/100], ITER [1136/1674] 
LOSS: 0.00166350, TIME: 1634.2s
STEP [11200], EPOCH [7/100], ITER [1156/1674] 
LOSS: 0.00150145, TIME: 1637.1s
STEP [11220], EPOCH [7/100], ITER [1176/1674] 
LOSS: 0.00145191, TIME: 1639.9s
STEP [11240], EPOCH [7/100], ITER [1196/1674] 
LOSS: 0.00163449, TIME: 1642.8s
STEP [11260], EPOCH [7/100], ITER [1216/1674] 
LOSS: 0.00162691, TIME: 1645.7s
STEP [11280], EPOCH [7/100], ITER [1236/1674] 
LOSS: 0.00139979, TIME: 1648.5s
STEP [11300], EPOCH [7/100], ITER [1256/1674] 
LOSS: 0.00136068, TIME: 1651.4s
STEP [11320], EPOCH [7/100], ITER [1276/1674] 
LOSS: 0.00120078, TIME: 1654.3s
STEP [11340], EPOCH [7/100], ITER [1296/1674] 
LOSS: 0.00153462, TIME: 1657.1s
STEP [11360], EPOCH [7/100], ITER [1316/1674] 
LOSS: 0.00130905, TIME: 1660.0s
STEP [11380], EPOCH [7/100], ITER [1336/1674] 
LOSS: 0.00146965, TIME: 1662.8s
STEP [11400], EPOCH [7/100], ITER [1356/1674] 
LOSS: 0.00126426, TIME: 1665.7s
STEP [11420], EPOCH [7/100], ITER [1376/1674] 
LOSS: 0.00203120, TIME: 1668.6s
STEP [11440], EPOCH [7/100], ITER [1396/1674] 
LOSS: 0.00132163, TIME: 1671.4s
STEP [11460], EPOCH [7/100], ITER [1416/1674] 
LOSS: 0.00153794, TIME: 1674.3s
STEP [11480], EPOCH [7/100], ITER [1436/1674] 
LOSS: 0.00150508, TIME: 1677.2s
STEP [11500], EPOCH [7/100], ITER [1456/1674] 
LOSS: 0.00164808, TIME: 1680.0s
STEP [11520], EPOCH [7/100], ITER [1476/1674] 
LOSS: 0.00157129, TIME: 1682.9s
STEP [11540], EPOCH [7/100], ITER [1496/1674] 
LOSS: 0.00239465, TIME: 1685.8s
STEP [11560], EPOCH [7/100], ITER [1516/1674] 
LOSS: 0.00138902, TIME: 1688.6s
STEP [11580], EPOCH [7/100], ITER [1536/1674] 
LOSS: 0.00166190, TIME: 1691.5s
STEP [11600], EPOCH [7/100], ITER [1556/1674] 
LOSS: 0.00106750, TIME: 1694.4s
STEP [11620], EPOCH [7/100], ITER [1576/1674] 
LOSS: 0.00108852, TIME: 1697.2s
STEP [11640], EPOCH [7/100], ITER [1596/1674] 
LOSS: 0.00253188, TIME: 1700.1s
STEP [11660], EPOCH [7/100], ITER [1616/1674] 
LOSS: 0.00128574, TIME: 1702.9s
STEP [11680], EPOCH [7/100], ITER [1636/1674] 
LOSS: 0.00178477, TIME: 1705.8s
STEP [11700], EPOCH [7/100], ITER [1656/1674] 
LOSS: 0.00179995, TIME: 1708.7s
STEP [11720], EPOCH [8/100], ITER [2/1674] 
LOSS: 0.00155754, TIME: 1713.8s
STEP [11740], EPOCH [8/100], ITER [22/1674] 
LOSS: 0.00154520, TIME: 1716.6s
STEP [11760], EPOCH [8/100], ITER [42/1674] 
LOSS: 0.00203358, TIME: 1719.5s
STEP [11780], EPOCH [8/100], ITER [62/1674] 
LOSS: 0.00124544, TIME: 1722.4s
STEP [11800], EPOCH [8/100], ITER [82/1674] 
LOSS: 0.00173092, TIME: 1725.2s
STEP [11820], EPOCH [8/100], ITER [102/1674] 
LOSS: 0.00183888, TIME: 1728.1s
STEP [11840], EPOCH [8/100], ITER [122/1674] 
LOSS: 0.00199373, TIME: 1731.0s
STEP [11860], EPOCH [8/100], ITER [142/1674] 
LOSS: 0.00225783, TIME: 1733.8s
STEP [11880], EPOCH [8/100], ITER [162/1674] 
LOSS: 0.00175350, TIME: 1736.7s
STEP [11900], EPOCH [8/100], ITER [182/1674] 
LOSS: 0.00200623, TIME: 1739.5s
STEP [11920], EPOCH [8/100], ITER [202/1674] 
LOSS: 0.00229069, TIME: 1742.4s
STEP [11940], EPOCH [8/100], ITER [222/1674] 
LOSS: 0.00252709, TIME: 1745.3s
STEP [11960], EPOCH [8/100], ITER [242/1674] 
LOSS: 0.00125115, TIME: 1748.1s
STEP [11980], EPOCH [8/100], ITER [262/1674] 
LOSS: 0.00164474, TIME: 1751.0s
STEP [12000], EPOCH [8/100], ITER [282/1674] 
LOSS: 0.00206159, TIME: 1753.9s
STEP [12020], EPOCH [8/100], ITER [302/1674] 
LOSS: 0.00176671, TIME: 1756.8s
STEP [12040], EPOCH [8/100], ITER [322/1674] 
LOSS: 0.00110413, TIME: 1759.7s
STEP [12060], EPOCH [8/100], ITER [342/1674] 
LOSS: 0.00179337, TIME: 1762.6s
STEP [12080], EPOCH [8/100], ITER [362/1674] 
LOSS: 0.00148975, TIME: 1765.4s
STEP [12100], EPOCH [8/100], ITER [382/1674] 
LOSS: 0.00108647, TIME: 1768.3s
STEP [12120], EPOCH [8/100], ITER [402/1674] 
LOSS: 0.00192038, TIME: 1771.2s
STEP [12140], EPOCH [8/100], ITER [422/1674] 
LOSS: 0.00294033, TIME: 1774.0s
STEP [12160], EPOCH [8/100], ITER [442/1674] 
LOSS: 0.00096949, TIME: 1776.9s
STEP [12180], EPOCH [8/100], ITER [462/1674] 
LOSS: 0.00203824, TIME: 1779.8s
STEP [12200], EPOCH [8/100], ITER [482/1674] 
LOSS: 0.00106290, TIME: 1782.6s
STEP [12220], EPOCH [8/100], ITER [502/1674] 
LOSS: 0.00198789, TIME: 1785.5s
STEP [12240], EPOCH [8/100], ITER [522/1674] 
LOSS: 0.00145303, TIME: 1788.4s
STEP [12260], EPOCH [8/100], ITER [542/1674] 
LOSS: 0.00141273, TIME: 1791.2s
STEP [12280], EPOCH [8/100], ITER [562/1674] 
LOSS: 0.00141248, TIME: 1794.1s
STEP [12300], EPOCH [8/100], ITER [582/1674] 
LOSS: 0.00162519, TIME: 1797.0s
STEP [12320], EPOCH [8/100], ITER [602/1674] 
LOSS: 0.00222710, TIME: 1799.8s
STEP [12340], EPOCH [8/100], ITER [622/1674] 
LOSS: 0.00177509, TIME: 1802.7s
STEP [12360], EPOCH [8/100], ITER [642/1674] 
LOSS: 0.00154293, TIME: 1805.5s
STEP [12380], EPOCH [8/100], ITER [662/1674] 
LOSS: 0.00167828, TIME: 1808.4s
STEP [12400], EPOCH [8/100], ITER [682/1674] 
LOSS: 0.00173103, TIME: 1811.3s
STEP [12420], EPOCH [8/100], ITER [702/1674] 
LOSS: 0.00142925, TIME: 1814.1s
STEP [12440], EPOCH [8/100], ITER [722/1674] 
LOSS: 0.00203038, TIME: 1817.0s
STEP [12460], EPOCH [8/100], ITER [742/1674] 
LOSS: 0.00231112, TIME: 1819.9s
STEP [12480], EPOCH [8/100], ITER [762/1674] 
LOSS: 0.00193161, TIME: 1822.7s
STEP [12500], EPOCH [8/100], ITER [782/1674] 
LOSS: 0.00126207, TIME: 1825.6s
STEP [12520], EPOCH [8/100], ITER [802/1674] 
LOSS: 0.00191965, TIME: 1828.5s
STEP [12540], EPOCH [8/100], ITER [822/1674] 
LOSS: 0.00231530, TIME: 1831.3s
STEP [12560], EPOCH [8/100], ITER [842/1674] 
LOSS: 0.00147598, TIME: 1834.2s
STEP [12580], EPOCH [8/100], ITER [862/1674] 
LOSS: 0.00219842, TIME: 1837.1s
STEP [12600], EPOCH [8/100], ITER [882/1674] 
LOSS: 0.00196501, TIME: 1839.9s
STEP [12620], EPOCH [8/100], ITER [902/1674] 
LOSS: 0.00170877, TIME: 1842.8s
STEP [12640], EPOCH [8/100], ITER [922/1674] 
LOSS: 0.00198175, TIME: 1845.7s
STEP [12660], EPOCH [8/100], ITER [942/1674] 
LOSS: 0.00296275, TIME: 1849.4s
STEP [12680], EPOCH [8/100], ITER [962/1674] 
LOSS: 0.00199349, TIME: 1852.4s
STEP [12700], EPOCH [8/100], ITER [982/1674] 
LOSS: 0.00154816, TIME: 1855.4s
STEP [12720], EPOCH [8/100], ITER [1002/1674] 
LOSS: 0.00223067, TIME: 1858.4s
STEP [12740], EPOCH [8/100], ITER [1022/1674] 
LOSS: 0.00125102, TIME: 1861.3s
STEP [12760], EPOCH [8/100], ITER [1042/1674] 
LOSS: 0.00198053, TIME: 1864.2s
STEP [12780], EPOCH [8/100], ITER [1062/1674] 
LOSS: 0.00169846, TIME: 1867.1s
STEP [12800], EPOCH [8/100], ITER [1082/1674] 
LOSS: 0.00149996, TIME: 1869.9s
STEP [12820], EPOCH [8/100], ITER [1102/1674] 
LOSS: 0.00237862, TIME: 1873.7s
STEP [12840], EPOCH [8/100], ITER [1122/1674] 
LOSS: 0.00153093, TIME: 1876.7s
STEP [12860], EPOCH [8/100], ITER [1142/1674] 
LOSS: 0.00148590, TIME: 1879.6s
STEP [12880], EPOCH [8/100], ITER [1162/1674] 
LOSS: 0.00148735, TIME: 1882.6s
STEP [12900], EPOCH [8/100], ITER [1182/1674] 
LOSS: 0.00183850, TIME: 1885.6s
STEP [12920], EPOCH [8/100], ITER [1202/1674] 
LOSS: 0.00209441, TIME: 1888.4s
STEP [12940], EPOCH [8/100], ITER [1222/1674] 
LOSS: 0.00162818, TIME: 1891.3s
STEP [12960], EPOCH [8/100], ITER [1242/1674] 
LOSS: 0.00183193, TIME: 1894.2s
STEP [12980], EPOCH [8/100], ITER [1262/1674] 
LOSS: 0.00179112, TIME: 1897.0s
STEP [13000], EPOCH [8/100], ITER [1282/1674] 
LOSS: 0.00163810, TIME: 1899.9s
STEP [13020], EPOCH [8/100], ITER [1302/1674] 
LOSS: 0.00252324, TIME: 1902.9s
STEP [13040], EPOCH [8/100], ITER [1322/1674] 
LOSS: 0.00160694, TIME: 1905.7s
STEP [13060], EPOCH [8/100], ITER [1342/1674] 
LOSS: 0.00127379, TIME: 1908.6s
STEP [13080], EPOCH [8/100], ITER [1362/1674] 
LOSS: 0.00146771, TIME: 1911.5s
STEP [13100], EPOCH [8/100], ITER [1382/1674] 
LOSS: 0.00102648, TIME: 1914.3s
STEP [13120], EPOCH [8/100], ITER [1402/1674] 
LOSS: 0.00301791, TIME: 1917.2s
STEP [13140], EPOCH [8/100], ITER [1422/1674] 
LOSS: 0.00223477, TIME: 1920.8s
STEP [13160], EPOCH [8/100], ITER [1442/1674] 
LOSS: 0.00118448, TIME: 1923.9s
STEP [13180], EPOCH [8/100], ITER [1462/1674] 
LOSS: 0.00207915, TIME: 1926.8s
STEP [13200], EPOCH [8/100], ITER [1482/1674] 
LOSS: 0.00127338, TIME: 1929.7s
STEP [13220], EPOCH [8/100], ITER [1502/1674] 
LOSS: 0.00119322, TIME: 1932.6s
STEP [13240], EPOCH [8/100], ITER [1522/1674] 
LOSS: 0.00172896, TIME: 1935.4s
STEP [13260], EPOCH [8/100], ITER [1542/1674] 
LOSS: 0.00131916, TIME: 1938.3s
STEP [13280], EPOCH [8/100], ITER [1562/1674] 
LOSS: 0.00136042, TIME: 1941.2s
STEP [13300], EPOCH [8/100], ITER [1582/1674] 
LOSS: 0.00116440, TIME: 1944.0s
STEP [13320], EPOCH [8/100], ITER [1602/1674] 
LOSS: 0.00121081, TIME: 1946.9s
STEP [13340], EPOCH [8/100], ITER [1622/1674] 
LOSS: 0.00116486, TIME: 1949.8s
STEP [13360], EPOCH [8/100], ITER [1642/1674] 
LOSS: 0.00208557, TIME: 1952.6s
STEP [13380], EPOCH [8/100], ITER [1662/1674] 
LOSS: 0.00129146, TIME: 1955.5s
STEP [13400], EPOCH [9/100], ITER [8/1674] 
LOSS: 0.00146288, TIME: 1960.8s
STEP [13420], EPOCH [9/100], ITER [28/1674] 
LOSS: 0.00136919, TIME: 1963.7s
STEP [13440], EPOCH [9/100], ITER [48/1674] 
LOSS: 0.00154602, TIME: 1966.5s
STEP [13460], EPOCH [9/100], ITER [68/1674] 
LOSS: 0.00274027, TIME: 1969.4s
STEP [13480], EPOCH [9/100], ITER [88/1674] 
LOSS: 0.00194859, TIME: 1972.3s
STEP [13500], EPOCH [9/100], ITER [108/1674] 
LOSS: 0.00179259, TIME: 1975.1s
STEP [13520], EPOCH [9/100], ITER [128/1674] 
LOSS: 0.00189407, TIME: 1978.8s
STEP [13540], EPOCH [9/100], ITER [148/1674] 
LOSS: 0.00226038, TIME: 1981.8s
STEP [13560], EPOCH [9/100], ITER [168/1674] 
LOSS: 0.00221456, TIME: 1984.7s
STEP [13580], EPOCH [9/100], ITER [188/1674] 
LOSS: 0.00289116, TIME: 1988.0s
STEP [13600], EPOCH [9/100], ITER [208/1674] 
LOSS: 0.00119787, TIME: 1991.3s
STEP [13620], EPOCH [9/100], ITER [228/1674] 
LOSS: 0.00143378, TIME: 1994.4s
STEP [13640], EPOCH [9/100], ITER [248/1674] 
LOSS: 0.00148065, TIME: 1997.4s
STEP [13660], EPOCH [9/100], ITER [268/1674] 
LOSS: 0.00167319, TIME: 2000.3s
STEP [13680], EPOCH [9/100], ITER [288/1674] 
LOSS: 0.00205948, TIME: 2003.3s
STEP [13700], EPOCH [9/100], ITER [308/1674] 
LOSS: 0.00122856, TIME: 2006.1s
STEP [13720], EPOCH [9/100], ITER [328/1674] 
LOSS: 0.00167231, TIME: 2009.0s
STEP [13740], EPOCH [9/100], ITER [348/1674] 
LOSS: 0.00111770, TIME: 2011.9s
STEP [13760], EPOCH [9/100], ITER [368/1674] 
LOSS: 0.00145945, TIME: 2014.7s
STEP [13780], EPOCH [9/100], ITER [388/1674] 
LOSS: 0.00160653, TIME: 2017.6s
STEP [13800], EPOCH [9/100], ITER [408/1674] 
LOSS: 0.00285081, TIME: 2020.5s
STEP [13820], EPOCH [9/100], ITER [428/1674] 
LOSS: 0.00161894, TIME: 2023.3s
STEP [13840], EPOCH [9/100], ITER [448/1674] 
LOSS: 0.00130715, TIME: 2026.2s
STEP [13860], EPOCH [9/100], ITER [468/1674] 
LOSS: 0.00160273, TIME: 2029.1s
STEP [13880], EPOCH [9/100], ITER [488/1674] 
LOSS: 0.00175467, TIME: 2031.9s
STEP [13900], EPOCH [9/100], ITER [508/1674] 
LOSS: 0.00163480, TIME: 2034.8s
STEP [13920], EPOCH [9/100], ITER [528/1674] 
LOSS: 0.00174754, TIME: 2037.7s
STEP [13940], EPOCH [9/100], ITER [548/1674] 
LOSS: 0.00135073, TIME: 2040.5s
STEP [13960], EPOCH [9/100], ITER [568/1674] 
LOSS: 0.00199587, TIME: 2043.4s
STEP [13980], EPOCH [9/100], ITER [588/1674] 
LOSS: 0.00189414, TIME: 2046.3s
STEP [14000], EPOCH [9/100], ITER [608/1674] 
LOSS: 0.00145444, TIME: 2049.1s
STEP [14020], EPOCH [9/100], ITER [628/1674] 
LOSS: 0.00142574, TIME: 2052.1s
STEP [14040], EPOCH [9/100], ITER [648/1674] 
LOSS: 0.00298420, TIME: 2055.0s
STEP [14060], EPOCH [9/100], ITER [668/1674] 
LOSS: 0.00159541, TIME: 2057.8s
STEP [14080], EPOCH [9/100], ITER [688/1674] 
LOSS: 0.00133926, TIME: 2060.7s
STEP [14100], EPOCH [9/100], ITER [708/1674] 
LOSS: 0.00130012, TIME: 2063.6s
STEP [14120], EPOCH [9/100], ITER [728/1674] 
LOSS: 0.00112873, TIME: 2066.4s
STEP [14140], EPOCH [9/100], ITER [748/1674] 
LOSS: 0.00144992, TIME: 2069.3s
STEP [14160], EPOCH [9/100], ITER [768/1674] 
LOSS: 0.00102440, TIME: 2072.2s
STEP [14180], EPOCH [9/100], ITER [788/1674] 
LOSS: 0.00178682, TIME: 2075.0s
STEP [14200], EPOCH [9/100], ITER [808/1674] 
LOSS: 0.00228801, TIME: 2077.9s
STEP [14220], EPOCH [9/100], ITER [828/1674] 
LOSS: 0.00140125, TIME: 2080.8s
STEP [14240], EPOCH [9/100], ITER [848/1674] 
LOSS: 0.00118387, TIME: 2083.7s
STEP [14260], EPOCH [9/100], ITER [868/1674] 
LOSS: 0.00132466, TIME: 2086.5s
STEP [14280], EPOCH [9/100], ITER [888/1674] 
LOSS: 0.00167404, TIME: 2089.4s
STEP [14300], EPOCH [9/100], ITER [908/1674] 
LOSS: 0.00174678, TIME: 2092.3s
STEP [14320], EPOCH [9/100], ITER [928/1674] 
LOSS: 0.00205207, TIME: 2095.1s
STEP [14340], EPOCH [9/100], ITER [948/1674] 
LOSS: 0.00157059, TIME: 2098.0s
STEP [14360], EPOCH [9/100], ITER [968/1674] 
LOSS: 0.00132251, TIME: 2100.9s
STEP [14380], EPOCH [9/100], ITER [988/1674] 
LOSS: 0.00197310, TIME: 2103.7s
STEP [14400], EPOCH [9/100], ITER [1008/1674] 
LOSS: 0.00164538, TIME: 2106.6s
STEP [14420], EPOCH [9/100], ITER [1028/1674] 
LOSS: 0.00217247, TIME: 2109.5s
STEP [14440], EPOCH [9/100], ITER [1048/1674] 
LOSS: 0.00183959, TIME: 2112.3s
STEP [14460], EPOCH [9/100], ITER [1068/1674] 
LOSS: 0.00287239, TIME: 2115.2s
STEP [14480], EPOCH [9/100], ITER [1088/1674] 
LOSS: 0.00141145, TIME: 2118.1s
STEP [14500], EPOCH [9/100], ITER [1108/1674] 
LOSS: 0.00193719, TIME: 2120.9s
STEP [14520], EPOCH [9/100], ITER [1128/1674] 
LOSS: 0.00150267, TIME: 2123.8s
STEP [14540], EPOCH [9/100], ITER [1148/1674] 
LOSS: 0.00112528, TIME: 2126.7s
STEP [14560], EPOCH [9/100], ITER [1168/1674] 
LOSS: 0.00217348, TIME: 2129.6s
STEP [14580], EPOCH [9/100], ITER [1188/1674] 
LOSS: 0.00198396, TIME: 2132.4s
STEP [14600], EPOCH [9/100], ITER [1208/1674] 
LOSS: 0.00263343, TIME: 2135.3s
STEP [14620], EPOCH [9/100], ITER [1228/1674] 
LOSS: 0.00133994, TIME: 2138.2s
STEP [14640], EPOCH [9/100], ITER [1248/1674] 
LOSS: 0.00206823, TIME: 2141.0s
STEP [14660], EPOCH [9/100], ITER [1268/1674] 
LOSS: 0.00171291, TIME: 2143.9s
STEP [14680], EPOCH [9/100], ITER [1288/1674] 
LOSS: 0.00187396, TIME: 2146.8s
STEP [14700], EPOCH [9/100], ITER [1308/1674] 
LOSS: 0.00230992, TIME: 2149.6s
STEP [14720], EPOCH [9/100], ITER [1328/1674] 
LOSS: 0.00132285, TIME: 2152.5s
STEP [14740], EPOCH [9/100], ITER [1348/1674] 
LOSS: 0.00162020, TIME: 2155.4s
STEP [14760], EPOCH [9/100], ITER [1368/1674] 
LOSS: 0.00207613, TIME: 2158.3s
STEP [14780], EPOCH [9/100], ITER [1388/1674] 
LOSS: 0.00220235, TIME: 2161.1s
STEP [14800], EPOCH [9/100], ITER [1408/1674] 
LOSS: 0.00148320, TIME: 2164.0s
STEP [14820], EPOCH [9/100], ITER [1428/1674] 
LOSS: 0.00180234, TIME: 2166.9s
STEP [14840], EPOCH [9/100], ITER [1448/1674] 
LOSS: 0.00135277, TIME: 2169.7s
STEP [14860], EPOCH [9/100], ITER [1468/1674] 
LOSS: 0.00336315, TIME: 2172.6s
STEP [14880], EPOCH [9/100], ITER [1488/1674] 
LOSS: 0.00172639, TIME: 2175.5s
STEP [14900], EPOCH [9/100], ITER [1508/1674] 
LOSS: 0.00170683, TIME: 2178.3s
STEP [14920], EPOCH [9/100], ITER [1528/1674] 
LOSS: 0.00171507, TIME: 2181.2s
STEP [14940], EPOCH [9/100], ITER [1548/1674] 
LOSS: 0.00173526, TIME: 2184.1s
STEP [14960], EPOCH [9/100], ITER [1568/1674] 
LOSS: 0.00178145, TIME: 2186.9s
STEP [14980], EPOCH [9/100], ITER [1588/1674] 
LOSS: 0.00156332, TIME: 2189.8s
STEP [15000], EPOCH [9/100], ITER [1608/1674] 
LOSS: 0.00163967, TIME: 2192.9s
STEP [15020], EPOCH [9/100], ITER [1628/1674] 
LOSS: 0.00290811, TIME: 2196.4s
STEP [15040], EPOCH [9/100], ITER [1648/1674] 
LOSS: 0.00225111, TIME: 2199.4s
STEP [15060], EPOCH [9/100], ITER [1668/1674] 
LOSS: 0.00199247, TIME: 2202.4s
STEP [15080], EPOCH [10/100], ITER [14/1674] 
LOSS: 0.00095564, TIME: 2208.1s
STEP [15100], EPOCH [10/100], ITER [34/1674] 
LOSS: 0.00158486, TIME: 2210.9s
STEP [15120], EPOCH [10/100], ITER [54/1674] 
LOSS: 0.00182021, TIME: 2213.8s
STEP [15140], EPOCH [10/100], ITER [74/1674] 
LOSS: 0.00232929, TIME: 2216.7s
STEP [15160], EPOCH [10/100], ITER [94/1674] 
LOSS: 0.00164206, TIME: 2219.6s
STEP [15180], EPOCH [10/100], ITER [114/1674] 
LOSS: 0.00180884, TIME: 2222.4s
STEP [15200], EPOCH [10/100], ITER [134/1674] 
LOSS: 0.00198616, TIME: 2225.3s
STEP [15220], EPOCH [10/100], ITER [154/1674] 
LOSS: 0.00304411, TIME: 2228.2s
STEP [15240], EPOCH [10/100], ITER [174/1674] 
LOSS: 0.00143881, TIME: 2231.0s
STEP [15260], EPOCH [10/100], ITER [194/1674] 
LOSS: 0.00131329, TIME: 2233.9s
STEP [15280], EPOCH [10/100], ITER [214/1674] 
LOSS: 0.00195353, TIME: 2236.8s
STEP [15300], EPOCH [10/100], ITER [234/1674] 
LOSS: 0.00212444, TIME: 2239.7s
STEP [15320], EPOCH [10/100], ITER [254/1674] 
LOSS: 0.00165334, TIME: 2242.5s
STEP [15340], EPOCH [10/100], ITER [274/1674] 
LOSS: 0.00229955, TIME: 2245.4s
STEP [15360], EPOCH [10/100], ITER [294/1674] 
LOSS: 0.00156684, TIME: 2248.3s
STEP [15380], EPOCH [10/100], ITER [314/1674] 
LOSS: 0.00171458, TIME: 2251.1s
STEP [15400], EPOCH [10/100], ITER [334/1674] 
LOSS: 0.00146602, TIME: 2258.2s
STEP [15420], EPOCH [10/100], ITER [354/1674] 
LOSS: 0.00133825, TIME: 2261.1s
STEP [15440], EPOCH [10/100], ITER [374/1674] 
LOSS: 0.00228229, TIME: 2264.0s
STEP [15460], EPOCH [10/100], ITER [394/1674] 
LOSS: 0.00208932, TIME: 2266.8s
STEP [15480], EPOCH [10/100], ITER [414/1674] 
LOSS: 0.00153369, TIME: 2269.7s
STEP [15500], EPOCH [10/100], ITER [434/1674] 
LOSS: 0.00139258, TIME: 2272.6s
STEP [15520], EPOCH [10/100], ITER [454/1674] 
LOSS: 0.00200554, TIME: 2275.5s
STEP [15540], EPOCH [10/100], ITER [474/1674] 
LOSS: 0.00194166, TIME: 2278.3s
STEP [15560], EPOCH [10/100], ITER [494/1674] 
LOSS: 0.00162377, TIME: 2281.2s
STEP [15580], EPOCH [10/100], ITER [514/1674] 
LOSS: 0.00143812, TIME: 2284.1s
STEP [15600], EPOCH [10/100], ITER [534/1674] 
LOSS: 0.00210464, TIME: 2286.9s
STEP [15620], EPOCH [10/100], ITER [554/1674] 
LOSS: 0.00154533, TIME: 2289.8s
STEP [15640], EPOCH [10/100], ITER [574/1674] 
LOSS: 0.00148841, TIME: 2292.7s
STEP [15660], EPOCH [10/100], ITER [594/1674] 
LOSS: 0.00298859, TIME: 2295.5s
STEP [15680], EPOCH [10/100], ITER [614/1674] 
LOSS: 0.00296510, TIME: 2298.4s
STEP [15700], EPOCH [10/100], ITER [634/1674] 
LOSS: 0.00173587, TIME: 2301.3s
STEP [15720], EPOCH [10/100], ITER [654/1674] 
LOSS: 0.00125851, TIME: 2304.1s
STEP [15740], EPOCH [10/100], ITER [674/1674] 
LOSS: 0.00170065, TIME: 2307.0s
STEP [15760], EPOCH [10/100], ITER [694/1674] 
LOSS: 0.00164624, TIME: 2309.9s
STEP [15780], EPOCH [10/100], ITER [714/1674] 
LOSS: 0.00160754, TIME: 2312.7s
STEP [15800], EPOCH [10/100], ITER [734/1674] 
LOSS: 0.00152799, TIME: 2315.6s
STEP [15820], EPOCH [10/100], ITER [754/1674] 
LOSS: 0.00081378, TIME: 2318.5s
STEP [15840], EPOCH [10/100], ITER [774/1674] 
LOSS: 0.00162011, TIME: 2321.4s
STEP [15860], EPOCH [10/100], ITER [794/1674] 
LOSS: 0.00170011, TIME: 2324.2s
STEP [15880], EPOCH [10/100], ITER [814/1674] 
LOSS: 0.00217316, TIME: 2327.1s
STEP [15900], EPOCH [10/100], ITER [834/1674] 
LOSS: 0.00094983, TIME: 2330.0s
STEP [15920], EPOCH [10/100], ITER [854/1674] 
LOSS: 0.00248571, TIME: 2332.8s
STEP [15940], EPOCH [10/100], ITER [874/1674] 
LOSS: 0.00204459, TIME: 2335.7s
STEP [15960], EPOCH [10/100], ITER [894/1674] 
LOSS: 0.00191559, TIME: 2338.6s
STEP [15980], EPOCH [10/100], ITER [914/1674] 
LOSS: 0.00136513, TIME: 2341.4s
STEP [16000], EPOCH [10/100], ITER [934/1674] 
LOSS: 0.00197433, TIME: 2344.3s
STEP [16020], EPOCH [10/100], ITER [954/1674] 
LOSS: 0.00161107, TIME: 2347.3s
STEP [16040], EPOCH [10/100], ITER [974/1674] 
LOSS: 0.00157594, TIME: 2350.1s
STEP [16060], EPOCH [10/100], ITER [994/1674] 
LOSS: 0.00142962, TIME: 2353.0s
STEP [16080], EPOCH [10/100], ITER [1014/1674] 
LOSS: 0.00182045, TIME: 2355.9s
STEP [16100], EPOCH [10/100], ITER [1034/1674] 
LOSS: 0.00122581, TIME: 2358.7s
STEP [16120], EPOCH [10/100], ITER [1054/1674] 
LOSS: 0.00367440, TIME: 2361.6s
STEP [16140], EPOCH [10/100], ITER [1074/1674] 
LOSS: 0.00167542, TIME: 2364.5s
STEP [16160], EPOCH [10/100], ITER [1094/1674] 
LOSS: 0.00188050, TIME: 2367.4s
STEP [16180], EPOCH [10/100], ITER [1114/1674] 
LOSS: 0.00161858, TIME: 2370.2s
STEP [16200], EPOCH [10/100], ITER [1134/1674] 
LOSS: 0.00162106, TIME: 2373.1s
STEP [16220], EPOCH [10/100], ITER [1154/1674] 
LOSS: 0.00232807, TIME: 2376.0s
STEP [16240], EPOCH [10/100], ITER [1174/1674] 
LOSS: 0.00127468, TIME: 2378.8s
STEP [16260], EPOCH [10/100], ITER [1194/1674] 
LOSS: 0.00142670, TIME: 2381.7s
STEP [16280], EPOCH [10/100], ITER [1214/1674] 
LOSS: 0.00198446, TIME: 2432.8s
STEP [16300], EPOCH [10/100], ITER [1234/1674] 
LOSS: 0.00142443, TIME: 2435.7s
STEP [16320], EPOCH [10/100], ITER [1254/1674] 
LOSS: 0.00110503, TIME: 2438.6s
STEP [16340], EPOCH [10/100], ITER [1274/1674] 
LOSS: 0.00205653, TIME: 3200.6s
STEP [16360], EPOCH [10/100], ITER [1294/1674] 
LOSS: 0.00168092, TIME: 10927.6s
STEP [16380], EPOCH [10/100], ITER [1314/1674] 
LOSS: 0.00242578, TIME: 10930.5s
STEP [16400], EPOCH [10/100], ITER [1334/1674] 
LOSS: 0.00164479, TIME: 10933.5s
STEP [16420], EPOCH [10/100], ITER [1354/1674] 
LOSS: 0.00109247, TIME: 10936.5s
STEP [16440], EPOCH [10/100], ITER [1374/1674] 
LOSS: 0.00232483, TIME: 10939.5s
STEP [16460], EPOCH [10/100], ITER [1394/1674] 
LOSS: 0.00134452, TIME: 10942.4s
STEP [16480], EPOCH [10/100], ITER [1414/1674] 
LOSS: 0.00103964, TIME: 10945.4s
STEP [16500], EPOCH [10/100], ITER [1434/1674] 
LOSS: 0.00155311, TIME: 10948.4s
STEP [16520], EPOCH [10/100], ITER [1454/1674] 
LOSS: 0.00189808, TIME: 10951.4s
STEP [16540], EPOCH [10/100], ITER [1474/1674] 
LOSS: 0.00129437, TIME: 10954.3s
STEP [16560], EPOCH [10/100], ITER [1494/1674] 
LOSS: 0.00277084, TIME: 10957.3s
STEP [16580], EPOCH [10/100], ITER [1514/1674] 
LOSS: 0.00123721, TIME: 10960.3s
STEP [16600], EPOCH [10/100], ITER [1534/1674] 
LOSS: 0.00181657, TIME: 10963.3s
STEP [16620], EPOCH [10/100], ITER [1554/1674] 
LOSS: 0.00252919, TIME: 10966.3s
STEP [16640], EPOCH [10/100], ITER [1574/1674] 
LOSS: 0.00178650, TIME: 10969.3s
STEP [16660], EPOCH [10/100], ITER [1594/1674] 
LOSS: 0.00134611, TIME: 10972.1s
STEP [16680], EPOCH [10/100], ITER [1614/1674] 
LOSS: 0.00232148, TIME: 10975.0s
STEP [16700], EPOCH [10/100], ITER [1634/1674] 
LOSS: 0.00186270, TIME: 10977.9s
STEP [16720], EPOCH [10/100], ITER [1654/1674] 
LOSS: 0.00140093, TIME: 10980.7s
STEP [16740], EPOCH [10/100], ITER [1674/1674] 
LOSS: 0.00117128, TIME: 10983.6s
STEP [16760], EPOCH [11/100], ITER [20/1674] 
LOSS: 0.00182749, TIME: 10989.7s
STEP [16780], EPOCH [11/100], ITER [40/1674] 
LOSS: 0.00189931, TIME: 10992.6s
STEP [16800], EPOCH [11/100], ITER [60/1674] 
LOSS: 0.00283369, TIME: 10995.4s
STEP [16820], EPOCH [11/100], ITER [80/1674] 
LOSS: 0.00224191, TIME: 10998.3s
STEP [16840], EPOCH [11/100], ITER [100/1674] 
LOSS: 0.00204846, TIME: 11001.2s
STEP [16860], EPOCH [11/100], ITER [120/1674] 
LOSS: 0.00218642, TIME: 11004.1s
STEP [16880], EPOCH [11/100], ITER [140/1674] 
LOSS: 0.00122080, TIME: 11006.9s
STEP [16900], EPOCH [11/100], ITER [160/1674] 
LOSS: 0.00112577, TIME: 11009.8s
STEP [16920], EPOCH [11/100], ITER [180/1674] 
LOSS: 0.00138666, TIME: 11012.7s
STEP [16940], EPOCH [11/100], ITER [200/1674] 
LOSS: 0.00265669, TIME: 11015.5s
STEP [16960], EPOCH [11/100], ITER [220/1674] 
LOSS: 0.00116748, TIME: 11018.4s
STEP [16980], EPOCH [11/100], ITER [240/1674] 
LOSS: 0.00096264, TIME: 11021.3s
STEP [17000], EPOCH [11/100], ITER [260/1674] 
LOSS: 0.00148974, TIME: 11024.1s
STEP [17020], EPOCH [11/100], ITER [280/1674] 
LOSS: 0.00152145, TIME: 11027.1s
STEP [17040], EPOCH [11/100], ITER [300/1674] 
LOSS: 0.00120446, TIME: 11029.9s
STEP [17060], EPOCH [11/100], ITER [320/1674] 
LOSS: 0.00122366, TIME: 11032.8s
STEP [17080], EPOCH [11/100], ITER [340/1674] 
LOSS: 0.00204051, TIME: 11035.7s
STEP [17100], EPOCH [11/100], ITER [360/1674] 
LOSS: 0.00152437, TIME: 11038.5s
STEP [17120], EPOCH [11/100], ITER [380/1674] 
LOSS: 0.00152280, TIME: 11041.4s
STEP [17140], EPOCH [11/100], ITER [400/1674] 
LOSS: 0.00175113, TIME: 11044.3s
STEP [17160], EPOCH [11/100], ITER [420/1674] 
LOSS: 0.00128548, TIME: 11047.1s
STEP [17180], EPOCH [11/100], ITER [440/1674] 
LOSS: 0.00169979, TIME: 11050.0s
STEP [17200], EPOCH [11/100], ITER [460/1674] 
LOSS: 0.00103782, TIME: 11052.9s
STEP [17220], EPOCH [11/100], ITER [480/1674] 
LOSS: 0.00191425, TIME: 11055.7s
STEP [17240], EPOCH [11/100], ITER [500/1674] 
LOSS: 0.00251067, TIME: 11058.6s
STEP [17260], EPOCH [11/100], ITER [520/1674] 
LOSS: 0.00143684, TIME: 11061.5s
STEP [17280], EPOCH [11/100], ITER [540/1674] 
LOSS: 0.00136833, TIME: 11064.3s
STEP [17300], EPOCH [11/100], ITER [560/1674] 
LOSS: 0.00106650, TIME: 11067.2s
STEP [17320], EPOCH [11/100], ITER [580/1674] 
LOSS: 0.00167306, TIME: 11070.1s
STEP [17340], EPOCH [11/100], ITER [600/1674] 
LOSS: 0.00198773, TIME: 11072.9s
STEP [17360], EPOCH [11/100], ITER [620/1674] 
LOSS: 0.00234669, TIME: 11075.8s
STEP [17380], EPOCH [11/100], ITER [640/1674] 
LOSS: 0.00202064, TIME: 11078.7s
STEP [17400], EPOCH [11/100], ITER [660/1674] 
LOSS: 0.00203065, TIME: 11081.6s
STEP [17420], EPOCH [11/100], ITER [680/1674] 
LOSS: 0.00180938, TIME: 11084.4s
STEP [17440], EPOCH [11/100], ITER [700/1674] 
LOSS: 0.00138544, TIME: 11087.3s
STEP [17460], EPOCH [11/100], ITER [720/1674] 
LOSS: 0.00149620, TIME: 11090.2s
STEP [17480], EPOCH [11/100], ITER [740/1674] 
LOSS: 0.00157753, TIME: 11093.0s
STEP [17500], EPOCH [11/100], ITER [760/1674] 
LOSS: 0.00184515, TIME: 11095.9s
STEP [17520], EPOCH [11/100], ITER [780/1674] 
LOSS: 0.00165279, TIME: 11098.8s
STEP [17540], EPOCH [11/100], ITER [800/1674] 
LOSS: 0.00266882, TIME: 11101.6s
STEP [17560], EPOCH [11/100], ITER [820/1674] 
LOSS: 0.00136319, TIME: 11104.5s
STEP [17580], EPOCH [11/100], ITER [840/1674] 
LOSS: 0.00168868, TIME: 11107.4s
STEP [17600], EPOCH [11/100], ITER [860/1674] 
LOSS: 0.00157141, TIME: 11110.2s
STEP [17620], EPOCH [11/100], ITER [880/1674] 
LOSS: 0.00177973, TIME: 11113.1s
STEP [17640], EPOCH [11/100], ITER [900/1674] 
LOSS: 0.00168023, TIME: 11116.0s
STEP [17660], EPOCH [11/100], ITER [920/1674] 
LOSS: 0.00107867, TIME: 11118.8s
STEP [17680], EPOCH [11/100], ITER [940/1674] 
LOSS: 0.00146583, TIME: 11121.7s
STEP [17700], EPOCH [11/100], ITER [960/1674] 
LOSS: 0.00201482, TIME: 11124.6s
STEP [17720], EPOCH [11/100], ITER [980/1674] 
LOSS: 0.00179004, TIME: 11127.4s
STEP [17740], EPOCH [11/100], ITER [1000/1674] 
LOSS: 0.00195359, TIME: 11130.3s
STEP [17760], EPOCH [11/100], ITER [1020/1674] 
LOSS: 0.00197134, TIME: 11133.2s
STEP [17780], EPOCH [11/100], ITER [1040/1674] 
LOSS: 0.00206860, TIME: 11136.0s
STEP [17800], EPOCH [11/100], ITER [1060/1674] 
LOSS: 0.00164813, TIME: 11138.9s
STEP [17820], EPOCH [11/100], ITER [1080/1674] 
LOSS: 0.00168321, TIME: 11141.8s
STEP [17840], EPOCH [11/100], ITER [1100/1674] 
LOSS: 0.00258923, TIME: 11144.6s
STEP [17860], EPOCH [11/100], ITER [1120/1674] 
LOSS: 0.00182775, TIME: 11147.5s
STEP [17880], EPOCH [11/100], ITER [1140/1674] 
LOSS: 0.00122365, TIME: 11150.4s
STEP [17900], EPOCH [11/100], ITER [1160/1674] 
LOSS: 0.00281885, TIME: 11153.2s
STEP [17920], EPOCH [11/100], ITER [1180/1674] 
LOSS: 0.00149047, TIME: 11156.1s
STEP [17940], EPOCH [11/100], ITER [1200/1674] 
LOSS: 0.00114067, TIME: 11159.0s
STEP [17960], EPOCH [11/100], ITER [1220/1674] 
LOSS: 0.00157232, TIME: 11161.8s
STEP [17980], EPOCH [11/100], ITER [1240/1674] 
LOSS: 0.00178417, TIME: 11164.7s
STEP [18000], EPOCH [11/100], ITER [1260/1674] 
LOSS: 0.00094841, TIME: 11167.6s
STEP [18020], EPOCH [11/100], ITER [1280/1674] 
LOSS: 0.00165976, TIME: 11170.5s
STEP [18040], EPOCH [11/100], ITER [1300/1674] 
LOSS: 0.00192963, TIME: 11173.4s
STEP [18060], EPOCH [11/100], ITER [1320/1674] 
LOSS: 0.00169504, TIME: 11176.3s
STEP [18080], EPOCH [11/100], ITER [1340/1674] 
LOSS: 0.00148862, TIME: 11179.1s
STEP [18100], EPOCH [11/100], ITER [1360/1674] 
LOSS: 0.00167447, TIME: 11182.0s
STEP [18120], EPOCH [11/100], ITER [1380/1674] 
LOSS: 0.00117600, TIME: 11184.8s
STEP [18140], EPOCH [11/100], ITER [1400/1674] 
LOSS: 0.00176641, TIME: 11187.7s
STEP [18160], EPOCH [11/100], ITER [1420/1674] 
LOSS: 0.00175654, TIME: 11190.6s
STEP [18180], EPOCH [11/100], ITER [1440/1674] 
LOSS: 0.00218090, TIME: 11193.5s
STEP [18200], EPOCH [11/100], ITER [1460/1674] 
LOSS: 0.00208591, TIME: 11196.3s
STEP [18220], EPOCH [11/100], ITER [1480/1674] 
LOSS: 0.00203202, TIME: 11199.2s
STEP [18240], EPOCH [11/100], ITER [1500/1674] 
LOSS: 0.00154002, TIME: 11202.1s
STEP [18260], EPOCH [11/100], ITER [1520/1674] 
LOSS: 0.00099533, TIME: 11204.9s
STEP [18280], EPOCH [11/100], ITER [1540/1674] 
LOSS: 0.00158216, TIME: 11207.8s
STEP [18300], EPOCH [11/100], ITER [1560/1674] 
LOSS: 0.00178215, TIME: 11210.7s
STEP [18320], EPOCH [11/100], ITER [1580/1674] 
LOSS: 0.00158344, TIME: 11213.5s
STEP [18340], EPOCH [11/100], ITER [1600/1674] 
LOSS: 0.00204172, TIME: 11216.4s
STEP [18360], EPOCH [11/100], ITER [1620/1674] 
LOSS: 0.00153379, TIME: 11219.3s
STEP [18380], EPOCH [11/100], ITER [1640/1674] 
LOSS: 0.00192303, TIME: 11222.1s
STEP [18400], EPOCH [11/100], ITER [1660/1674] 
LOSS: 0.00187463, TIME: 11225.0s
STEP [18420], EPOCH [12/100], ITER [6/1674] 
LOSS: 0.00202723, TIME: 11230.3s
STEP [18440], EPOCH [12/100], ITER [26/1674] 
LOSS: 0.00168279, TIME: 11233.2s
STEP [18460], EPOCH [12/100], ITER [46/1674] 
LOSS: 0.00189861, TIME: 11236.0s
STEP [18480], EPOCH [12/100], ITER [66/1674] 
LOSS: 0.00253998, TIME: 11238.9s
STEP [18500], EPOCH [12/100], ITER [86/1674] 
LOSS: 0.00217477, TIME: 11241.8s
STEP [18520], EPOCH [12/100], ITER [106/1674] 
LOSS: 0.00131882, TIME: 11244.6s
STEP [18540], EPOCH [12/100], ITER [126/1674] 
LOSS: 0.00188830, TIME: 11247.5s
STEP [18560], EPOCH [12/100], ITER [146/1674] 
LOSS: 0.00215917, TIME: 11250.4s
STEP [18580], EPOCH [12/100], ITER [166/1674] 
LOSS: 0.00199327, TIME: 11253.2s
STEP [18600], EPOCH [12/100], ITER [186/1674] 
LOSS: 0.00144524, TIME: 11256.1s
STEP [18620], EPOCH [12/100], ITER [206/1674] 
LOSS: 0.00152784, TIME: 11259.0s
STEP [18640], EPOCH [12/100], ITER [226/1674] 
LOSS: 0.00125637, TIME: 11261.9s
STEP [18660], EPOCH [12/100], ITER [246/1674] 
LOSS: 0.00207310, TIME: 11264.7s
STEP [18680], EPOCH [12/100], ITER [266/1674] 
LOSS: 0.00169344, TIME: 11267.6s
STEP [18700], EPOCH [12/100], ITER [286/1674] 
LOSS: 0.00164797, TIME: 11270.5s
STEP [18720], EPOCH [12/100], ITER [306/1674] 
LOSS: 0.00242794, TIME: 11273.3s
STEP [18740], EPOCH [12/100], ITER [326/1674] 
LOSS: 0.00240207, TIME: 11276.2s
STEP [18760], EPOCH [12/100], ITER [346/1674] 
LOSS: 0.00129909, TIME: 11279.1s
STEP [18780], EPOCH [12/100], ITER [366/1674] 
LOSS: 0.00126851, TIME: 11281.9s
STEP [18800], EPOCH [12/100], ITER [386/1674] 
LOSS: 0.00144048, TIME: 11284.8s
STEP [18820], EPOCH [12/100], ITER [406/1674] 
LOSS: 0.00139923, TIME: 11287.7s
STEP [18840], EPOCH [12/100], ITER [426/1674] 
LOSS: 0.00153135, TIME: 11290.6s
STEP [18860], EPOCH [12/100], ITER [446/1674] 
LOSS: 0.00117555, TIME: 11293.4s
STEP [18880], EPOCH [12/100], ITER [466/1674] 
LOSS: 0.00233877, TIME: 11296.3s
STEP [18900], EPOCH [12/100], ITER [486/1674] 
LOSS: 0.00136118, TIME: 11299.2s
STEP [18920], EPOCH [12/100], ITER [506/1674] 
LOSS: 0.00195512, TIME: 11302.0s
STEP [18940], EPOCH [12/100], ITER [526/1674] 
LOSS: 0.00157786, TIME: 11304.9s
STEP [18960], EPOCH [12/100], ITER [546/1674] 
LOSS: 0.00200581, TIME: 11307.8s
STEP [18980], EPOCH [12/100], ITER [566/1674] 
LOSS: 0.00115112, TIME: 11310.6s
STEP [19000], EPOCH [12/100], ITER [586/1674] 
LOSS: 0.00201325, TIME: 11313.5s
STEP [19020], EPOCH [12/100], ITER [606/1674] 
LOSS: 0.00147046, TIME: 11316.4s
STEP [19040], EPOCH [12/100], ITER [626/1674] 
LOSS: 0.00160901, TIME: 11319.3s
STEP [19060], EPOCH [12/100], ITER [646/1674] 
LOSS: 0.00150324, TIME: 11322.2s
STEP [19080], EPOCH [12/100], ITER [666/1674] 
LOSS: 0.00162724, TIME: 11325.1s
STEP [19100], EPOCH [12/100], ITER [686/1674] 
LOSS: 0.00261647, TIME: 11327.9s
STEP [19120], EPOCH [12/100], ITER [706/1674] 
LOSS: 0.00137595, TIME: 11330.8s
STEP [19140], EPOCH [12/100], ITER [726/1674] 
LOSS: 0.00265359, TIME: 11333.7s
STEP [19160], EPOCH [12/100], ITER [746/1674] 
LOSS: 0.00177826, TIME: 11336.6s
STEP [19180], EPOCH [12/100], ITER [766/1674] 
LOSS: 0.00261585, TIME: 11339.4s
STEP [19200], EPOCH [12/100], ITER [786/1674] 
LOSS: 0.00150198, TIME: 11342.3s
STEP [19220], EPOCH [12/100], ITER [806/1674] 
LOSS: 0.00179068, TIME: 11345.2s
STEP [19240], EPOCH [12/100], ITER [826/1674] 
LOSS: 0.00109508, TIME: 11348.0s
STEP [19260], EPOCH [12/100], ITER [846/1674] 
LOSS: 0.00162956, TIME: 11350.9s
STEP [19280], EPOCH [12/100], ITER [866/1674] 
LOSS: 0.00143021, TIME: 11353.8s
STEP [19300], EPOCH [12/100], ITER [886/1674] 
LOSS: 0.00283715, TIME: 11356.6s
STEP [19320], EPOCH [12/100], ITER [906/1674] 
LOSS: 0.00230840, TIME: 11359.5s
STEP [19340], EPOCH [12/100], ITER [926/1674] 
LOSS: 0.00142304, TIME: 11362.4s
STEP [19360], EPOCH [12/100], ITER [946/1674] 
LOSS: 0.00187358, TIME: 11365.2s
STEP [19380], EPOCH [12/100], ITER [966/1674] 
LOSS: 0.00188757, TIME: 11368.1s
STEP [19400], EPOCH [12/100], ITER [986/1674] 
LOSS: 0.00366018, TIME: 11371.0s
STEP [19420], EPOCH [12/100], ITER [1006/1674] 
LOSS: 0.00141652, TIME: 11373.8s
STEP [19440], EPOCH [12/100], ITER [1026/1674] 
LOSS: 0.00182255, TIME: 11376.7s
STEP [19460], EPOCH [12/100], ITER [1046/1674] 
LOSS: 0.00280088, TIME: 11379.6s
STEP [19480], EPOCH [12/100], ITER [1066/1674] 
LOSS: 0.00124442, TIME: 11382.4s
STEP [19500], EPOCH [12/100], ITER [1086/1674] 
LOSS: 0.00104038, TIME: 11385.3s
STEP [19520], EPOCH [12/100], ITER [1106/1674] 
LOSS: 0.00131230, TIME: 11388.2s
STEP [19540], EPOCH [12/100], ITER [1126/1674] 
LOSS: 0.00276181, TIME: 11391.0s
STEP [19560], EPOCH [12/100], ITER [1146/1674] 
LOSS: 0.00113640, TIME: 11393.9s
STEP [19580], EPOCH [12/100], ITER [1166/1674] 
LOSS: 0.00151592, TIME: 11396.8s
STEP [19600], EPOCH [12/100], ITER [1186/1674] 
LOSS: 0.00225895, TIME: 11399.6s
STEP [19620], EPOCH [12/100], ITER [1206/1674] 
LOSS: 0.00162030, TIME: 11402.5s
STEP [19640], EPOCH [12/100], ITER [1226/1674] 
LOSS: 0.00190173, TIME: 11405.3s
STEP [19660], EPOCH [12/100], ITER [1246/1674] 
LOSS: 0.00148796, TIME: 11408.2s
STEP [19680], EPOCH [12/100], ITER [1266/1674] 
LOSS: 0.00137200, TIME: 11411.1s
STEP [19700], EPOCH [12/100], ITER [1286/1674] 
LOSS: 0.00141689, TIME: 11414.0s
STEP [19720], EPOCH [12/100], ITER [1306/1674] 
LOSS: 0.00204389, TIME: 11416.8s
STEP [19740], EPOCH [12/100], ITER [1326/1674] 
LOSS: 0.00104248, TIME: 11419.7s
STEP [19760], EPOCH [12/100], ITER [1346/1674] 
LOSS: 0.00126598, TIME: 11422.6s
STEP [19780], EPOCH [12/100], ITER [1366/1674] 
LOSS: 0.00176200, TIME: 11425.4s
STEP [19800], EPOCH [12/100], ITER [1386/1674] 
LOSS: 0.00184017, TIME: 11428.3s
STEP [19820], EPOCH [12/100], ITER [1406/1674] 
LOSS: 0.00287993, TIME: 11431.2s
STEP [19840], EPOCH [12/100], ITER [1426/1674] 
LOSS: 0.00229081, TIME: 11434.0s
STEP [19860], EPOCH [12/100], ITER [1446/1674] 
LOSS: 0.00229020, TIME: 11436.9s
STEP [19880], EPOCH [12/100], ITER [1466/1674] 
LOSS: 0.00226041, TIME: 11439.8s
STEP [19900], EPOCH [12/100], ITER [1486/1674] 
LOSS: 0.00187087, TIME: 11442.6s
STEP [19920], EPOCH [12/100], ITER [1506/1674] 
LOSS: 0.00150928, TIME: 11445.5s
STEP [19940], EPOCH [12/100], ITER [1526/1674] 
LOSS: 0.00263315, TIME: 11448.4s
STEP [19960], EPOCH [12/100], ITER [1546/1674] 
LOSS: 0.00224755, TIME: 11451.2s
STEP [19980], EPOCH [12/100], ITER [1566/1674] 
LOSS: 0.00124096, TIME: 11454.1s
STEP [20000], EPOCH [12/100], ITER [1586/1674] 
LOSS: 0.00184054, TIME: 11457.0s
STEP [20020], EPOCH [12/100], ITER [1606/1674] 
LOSS: 0.00202930, TIME: 11459.9s
STEP [20040], EPOCH [12/100], ITER [1626/1674] 
LOSS: 0.00231145, TIME: 11462.8s
STEP [20060], EPOCH [12/100], ITER [1646/1674] 
LOSS: 0.00170286, TIME: 11465.7s
STEP [20080], EPOCH [12/100], ITER [1666/1674] 
LOSS: 0.00238935, TIME: 11468.5s
STEP [20100], EPOCH [13/100], ITER [12/1674] 
LOSS: 0.00085185, TIME: 11474.1s
STEP [20120], EPOCH [13/100], ITER [32/1674] 
LOSS: 0.00112037, TIME: 11477.0s
STEP [20140], EPOCH [13/100], ITER [52/1674] 
LOSS: 0.00148503, TIME: 11479.9s
STEP [20160], EPOCH [13/100], ITER [72/1674] 
LOSS: 0.00134851, TIME: 11482.7s
STEP [20180], EPOCH [13/100], ITER [92/1674] 
LOSS: 0.00146650, TIME: 11485.6s
STEP [20200], EPOCH [13/100], ITER [112/1674] 
LOSS: 0.00141735, TIME: 11488.5s
STEP [20220], EPOCH [13/100], ITER [132/1674] 
LOSS: 0.00193072, TIME: 11491.3s
STEP [20240], EPOCH [13/100], ITER [152/1674] 
LOSS: 0.00131103, TIME: 11494.2s
STEP [20260], EPOCH [13/100], ITER [172/1674] 
LOSS: 0.00218527, TIME: 11497.1s
STEP [20280], EPOCH [13/100], ITER [192/1674] 
LOSS: 0.00117793, TIME: 11499.9s
STEP [20300], EPOCH [13/100], ITER [212/1674] 
LOSS: 0.00333529, TIME: 11502.8s
STEP [20320], EPOCH [13/100], ITER [232/1674] 
LOSS: 0.00144652, TIME: 11505.7s
STEP [20340], EPOCH [13/100], ITER [252/1674] 
LOSS: 0.00219539, TIME: 11508.5s
STEP [20360], EPOCH [13/100], ITER [272/1674] 
LOSS: 0.00226246, TIME: 11511.4s
STEP [20380], EPOCH [13/100], ITER [292/1674] 
LOSS: 0.00138921, TIME: 11514.3s
STEP [20400], EPOCH [13/100], ITER [312/1674] 
LOSS: 0.00227247, TIME: 11517.1s
STEP [20420], EPOCH [13/100], ITER [332/1674] 
LOSS: 0.00117521, TIME: 11520.0s
STEP [20440], EPOCH [13/100], ITER [352/1674] 
LOSS: 0.00118884, TIME: 11522.9s
STEP [20460], EPOCH [13/100], ITER [372/1674] 
LOSS: 0.00108658, TIME: 11525.7s
STEP [20480], EPOCH [13/100], ITER [392/1674] 
LOSS: 0.00174960, TIME: 11528.6s
STEP [20500], EPOCH [13/100], ITER [412/1674] 
LOSS: 0.00148722, TIME: 11531.5s
STEP [20520], EPOCH [13/100], ITER [432/1674] 
LOSS: 0.00157820, TIME: 11534.3s
STEP [20540], EPOCH [13/100], ITER [452/1674] 
LOSS: 0.00126860, TIME: 11537.2s
STEP [20560], EPOCH [13/100], ITER [472/1674] 
LOSS: 0.00184049, TIME: 11540.1s
STEP [20580], EPOCH [13/100], ITER [492/1674] 
LOSS: 0.00196275, TIME: 11543.0s
STEP [20600], EPOCH [13/100], ITER [512/1674] 
LOSS: 0.00174569, TIME: 11545.8s
STEP [20620], EPOCH [13/100], ITER [532/1674] 
LOSS: 0.00348995, TIME: 11548.7s
STEP [20640], EPOCH [13/100], ITER [552/1674] 
LOSS: 0.00156420, TIME: 11551.6s
STEP [20660], EPOCH [13/100], ITER [572/1674] 
LOSS: 0.00147602, TIME: 11554.4s
STEP [20680], EPOCH [13/100], ITER [592/1674] 
LOSS: 0.00176769, TIME: 11557.3s
STEP [20700], EPOCH [13/100], ITER [612/1674] 
LOSS: 0.00172178, TIME: 11560.2s
STEP [20720], EPOCH [13/100], ITER [632/1674] 
LOSS: 0.00175486, TIME: 11563.0s
STEP [20740], EPOCH [13/100], ITER [652/1674] 
LOSS: 0.00285734, TIME: 11565.9s
STEP [20760], EPOCH [13/100], ITER [672/1674] 
LOSS: 0.00176190, TIME: 11568.8s
STEP [20780], EPOCH [13/100], ITER [692/1674] 
LOSS: 0.00135427, TIME: 11571.6s
STEP [20800], EPOCH [13/100], ITER [712/1674] 
LOSS: 0.00158006, TIME: 11574.5s
STEP [20820], EPOCH [13/100], ITER [732/1674] 
LOSS: 0.00146974, TIME: 11577.4s
STEP [20840], EPOCH [13/100], ITER [752/1674] 
LOSS: 0.00177055, TIME: 11580.2s
STEP [20860], EPOCH [13/100], ITER [772/1674] 
LOSS: 0.00174993, TIME: 11583.1s
STEP [20880], EPOCH [13/100], ITER [792/1674] 
LOSS: 0.00188929, TIME: 11586.0s
STEP [20900], EPOCH [13/100], ITER [812/1674] 
LOSS: 0.00183433, TIME: 11588.8s
STEP [20920], EPOCH [13/100], ITER [832/1674] 
LOSS: 0.00151119, TIME: 11591.7s
STEP [20940], EPOCH [13/100], ITER [852/1674] 
LOSS: 0.00231034, TIME: 11594.5s
STEP [20960], EPOCH [13/100], ITER [872/1674] 
LOSS: 0.00180638, TIME: 11597.4s
STEP [20980], EPOCH [13/100], ITER [892/1674] 
LOSS: 0.00155705, TIME: 11600.3s
STEP [21000], EPOCH [13/100], ITER [912/1674] 
LOSS: 0.00196150, TIME: 11603.1s
STEP [21020], EPOCH [13/100], ITER [932/1674] 
LOSS: 0.00202282, TIME: 11606.1s
STEP [21040], EPOCH [13/100], ITER [952/1674] 
LOSS: 0.00210564, TIME: 11609.0s
STEP [21060], EPOCH [13/100], ITER [972/1674] 
LOSS: 0.00185723, TIME: 11611.8s
STEP [21080], EPOCH [13/100], ITER [992/1674] 
LOSS: 0.00187299, TIME: 11614.7s
STEP [21100], EPOCH [13/100], ITER [1012/1674] 
LOSS: 0.00166694, TIME: 11617.6s
STEP [21120], EPOCH [13/100], ITER [1032/1674] 
LOSS: 0.00111947, TIME: 11620.4s
STEP [21140], EPOCH [13/100], ITER [1052/1674] 
LOSS: 0.00245235, TIME: 11623.3s
STEP [21160], EPOCH [13/100], ITER [1072/1674] 
LOSS: 0.00130300, TIME: 11626.2s
STEP [21180], EPOCH [13/100], ITER [1092/1674] 
LOSS: 0.00178333, TIME: 11629.1s
STEP [21200], EPOCH [13/100], ITER [1112/1674] 
LOSS: 0.00170497, TIME: 11631.9s
STEP [21220], EPOCH [13/100], ITER [1132/1674] 
LOSS: 0.00177676, TIME: 11634.8s
STEP [21240], EPOCH [13/100], ITER [1152/1674] 
LOSS: 0.00209518, TIME: 11637.7s
STEP [21260], EPOCH [13/100], ITER [1172/1674] 
LOSS: 0.00128905, TIME: 11640.6s
STEP [21280], EPOCH [13/100], ITER [1192/1674] 
LOSS: 0.00153770, TIME: 11643.4s
STEP [21300], EPOCH [13/100], ITER [1212/1674] 
LOSS: 0.00154258, TIME: 11646.3s
STEP [21320], EPOCH [13/100], ITER [1232/1674] 
LOSS: 0.00161655, TIME: 11649.2s
STEP [21340], EPOCH [13/100], ITER [1252/1674] 
LOSS: 0.00160262, TIME: 11652.0s
STEP [21360], EPOCH [13/100], ITER [1272/1674] 
LOSS: 0.00135006, TIME: 11654.9s
STEP [21380], EPOCH [13/100], ITER [1292/1674] 
LOSS: 0.00176171, TIME: 11657.8s
STEP [21400], EPOCH [13/100], ITER [1312/1674] 
LOSS: 0.00210189, TIME: 11660.7s
STEP [21420], EPOCH [13/100], ITER [1332/1674] 
LOSS: 0.00175573, TIME: 11663.5s
STEP [21440], EPOCH [13/100], ITER [1352/1674] 
LOSS: 0.00195035, TIME: 11666.4s
STEP [21460], EPOCH [13/100], ITER [1372/1674] 
LOSS: 0.00238734, TIME: 11669.3s
STEP [21480], EPOCH [13/100], ITER [1392/1674] 
LOSS: 0.00130806, TIME: 11672.2s
STEP [21500], EPOCH [13/100], ITER [1412/1674] 
LOSS: 0.00155319, TIME: 11675.0s
STEP [21520], EPOCH [13/100], ITER [1432/1674] 
LOSS: 0.00162284, TIME: 11677.9s
STEP [21540], EPOCH [13/100], ITER [1452/1674] 
LOSS: 0.00250859, TIME: 11680.8s
STEP [21560], EPOCH [13/100], ITER [1472/1674] 
LOSS: 0.00172400, TIME: 11683.6s
STEP [21580], EPOCH [13/100], ITER [1492/1674] 
LOSS: 0.00142601, TIME: 11686.5s
STEP [21600], EPOCH [13/100], ITER [1512/1674] 
LOSS: 0.00174044, TIME: 11689.4s
STEP [21620], EPOCH [13/100], ITER [1532/1674] 
LOSS: 0.00252928, TIME: 11692.2s
STEP [21640], EPOCH [13/100], ITER [1552/1674] 
LOSS: 0.00183845, TIME: 11695.1s
STEP [21660], EPOCH [13/100], ITER [1572/1674] 
LOSS: 0.00133285, TIME: 11698.0s
STEP [21680], EPOCH [13/100], ITER [1592/1674] 
LOSS: 0.00134791, TIME: 11700.9s
STEP [21700], EPOCH [13/100], ITER [1612/1674] 
LOSS: 0.00167183, TIME: 11703.7s
STEP [21720], EPOCH [13/100], ITER [1632/1674] 
LOSS: 0.00168324, TIME: 11706.6s
STEP [21740], EPOCH [13/100], ITER [1652/1674] 
LOSS: 0.00190782, TIME: 11709.5s
STEP [21760], EPOCH [13/100], ITER [1672/1674] 
LOSS: 0.00142883, TIME: 11712.3s
STEP [21780], EPOCH [14/100], ITER [18/1674] 
LOSS: 0.00146787, TIME: 11718.4s
STEP [21800], EPOCH [14/100], ITER [38/1674] 
LOSS: 0.00122958, TIME: 11721.3s
STEP [21820], EPOCH [14/100], ITER [58/1674] 
LOSS: 0.00171360, TIME: 11724.1s
STEP [21840], EPOCH [14/100], ITER [78/1674] 
LOSS: 0.00180437, TIME: 11727.0s
STEP [21860], EPOCH [14/100], ITER [98/1674] 
LOSS: 0.00131921, TIME: 11729.9s
STEP [21880], EPOCH [14/100], ITER [118/1674] 
LOSS: 0.00160467, TIME: 11732.8s
STEP [21900], EPOCH [14/100], ITER [138/1674] 
LOSS: 0.00134857, TIME: 11735.6s
STEP [21920], EPOCH [14/100], ITER [158/1674] 
LOSS: 0.00185592, TIME: 11738.5s
STEP [21940], EPOCH [14/100], ITER [178/1674] 
LOSS: 0.00148208, TIME: 11741.3s
STEP [21960], EPOCH [14/100], ITER [198/1674] 
LOSS: 0.00189460, TIME: 11744.2s
STEP [21980], EPOCH [14/100], ITER [218/1674] 
LOSS: 0.00206520, TIME: 11747.1s
STEP [22000], EPOCH [14/100], ITER [238/1674] 
LOSS: 0.00264865, TIME: 11749.9s
STEP [22020], EPOCH [14/100], ITER [258/1674] 
LOSS: 0.00171547, TIME: 11752.9s
STEP [22040], EPOCH [14/100], ITER [278/1674] 
LOSS: 0.00149689, TIME: 11755.7s
STEP [22060], EPOCH [14/100], ITER [298/1674] 
LOSS: 0.00166292, TIME: 11758.6s
STEP [22080], EPOCH [14/100], ITER [318/1674] 
LOSS: 0.00152030, TIME: 11761.5s
STEP [22100], EPOCH [14/100], ITER [338/1674] 
LOSS: 0.00115046, TIME: 11764.4s
STEP [22120], EPOCH [14/100], ITER [358/1674] 
LOSS: 0.00190937, TIME: 11767.2s
STEP [22140], EPOCH [14/100], ITER [378/1674] 
LOSS: 0.00154746, TIME: 11770.1s
STEP [22160], EPOCH [14/100], ITER [398/1674] 
LOSS: 0.00153958, TIME: 11773.0s
STEP [22180], EPOCH [14/100], ITER [418/1674] 
LOSS: 0.00134988, TIME: 11775.8s
STEP [22200], EPOCH [14/100], ITER [438/1674] 
LOSS: 0.00138967, TIME: 11778.7s
STEP [22220], EPOCH [14/100], ITER [458/1674] 
LOSS: 0.00136814, TIME: 11781.6s
STEP [22240], EPOCH [14/100], ITER [478/1674] 
LOSS: 0.00137138, TIME: 11784.4s
STEP [22260], EPOCH [14/100], ITER [498/1674] 
LOSS: 0.00150859, TIME: 11787.3s
STEP [22280], EPOCH [14/100], ITER [518/1674] 
LOSS: 0.00104588, TIME: 11790.2s
STEP [22300], EPOCH [14/100], ITER [538/1674] 
LOSS: 0.00173628, TIME: 11793.1s
STEP [22320], EPOCH [14/100], ITER [558/1674] 
LOSS: 0.00266963, TIME: 11795.9s
STEP [22340], EPOCH [14/100], ITER [578/1674] 
LOSS: 0.00188288, TIME: 11798.8s
STEP [22360], EPOCH [14/100], ITER [598/1674] 
LOSS: 0.00132708, TIME: 11801.7s
STEP [22380], EPOCH [14/100], ITER [618/1674] 
LOSS: 0.00211680, TIME: 11804.5s
STEP [22400], EPOCH [14/100], ITER [638/1674] 
LOSS: 0.00233239, TIME: 11807.4s
STEP [22420], EPOCH [14/100], ITER [658/1674] 
LOSS: 0.00141713, TIME: 11810.3s
STEP [22440], EPOCH [14/100], ITER [678/1674] 
LOSS: 0.00247176, TIME: 11813.1s
STEP [22460], EPOCH [14/100], ITER [698/1674] 
LOSS: 0.00180983, TIME: 11816.0s
STEP [22480], EPOCH [14/100], ITER [718/1674] 
LOSS: 0.00137493, TIME: 11818.9s
STEP [22500], EPOCH [14/100], ITER [738/1674] 
LOSS: 0.00121685, TIME: 11821.7s
STEP [22520], EPOCH [14/100], ITER [758/1674] 
LOSS: 0.00130812, TIME: 11824.6s
STEP [22540], EPOCH [14/100], ITER [778/1674] 
LOSS: 0.00167780, TIME: 11827.5s
STEP [22560], EPOCH [14/100], ITER [798/1674] 
LOSS: 0.00162260, TIME: 11830.3s
STEP [22580], EPOCH [14/100], ITER [818/1674] 
LOSS: 0.00223412, TIME: 11833.2s
STEP [22600], EPOCH [14/100], ITER [838/1674] 
LOSS: 0.00176011, TIME: 11836.1s
STEP [22620], EPOCH [14/100], ITER [858/1674] 
LOSS: 0.00170902, TIME: 11838.9s
STEP [22640], EPOCH [14/100], ITER [878/1674] 
LOSS: 0.00144116, TIME: 11841.8s
STEP [22660], EPOCH [14/100], ITER [898/1674] 
LOSS: 0.00109212, TIME: 11844.7s
STEP [22680], EPOCH [14/100], ITER [918/1674] 
LOSS: 0.00128748, TIME: 11847.5s
STEP [22700], EPOCH [14/100], ITER [938/1674] 
LOSS: 0.00147268, TIME: 11850.4s
STEP [22720], EPOCH [14/100], ITER [958/1674] 
LOSS: 0.00164167, TIME: 11853.3s
STEP [22740], EPOCH [14/100], ITER [978/1674] 
LOSS: 0.00157358, TIME: 11856.1s
STEP [22760], EPOCH [14/100], ITER [998/1674] 
LOSS: 0.00198250, TIME: 11859.0s
STEP [22780], EPOCH [14/100], ITER [1018/1674] 
LOSS: 0.00277366, TIME: 11861.9s
STEP [22800], EPOCH [14/100], ITER [1038/1674] 
LOSS: 0.00209590, TIME: 11864.7s
STEP [22820], EPOCH [14/100], ITER [1058/1674] 
LOSS: 0.00173078, TIME: 11867.6s
STEP [22840], EPOCH [14/100], ITER [1078/1674] 
LOSS: 0.00173749, TIME: 11870.5s
STEP [22860], EPOCH [14/100], ITER [1098/1674] 
LOSS: 0.00140721, TIME: 11873.3s
STEP [22880], EPOCH [14/100], ITER [1118/1674] 
LOSS: 0.00218246, TIME: 11876.2s
STEP [22900], EPOCH [14/100], ITER [1138/1674] 
LOSS: 0.00242150, TIME: 11879.1s
STEP [22920], EPOCH [14/100], ITER [1158/1674] 
LOSS: 0.00218308, TIME: 11881.9s
STEP [22940], EPOCH [14/100], ITER [1178/1674] 
LOSS: 0.00150214, TIME: 11884.8s
STEP [22960], EPOCH [14/100], ITER [1198/1674] 
LOSS: 0.00189921, TIME: 11887.7s
STEP [22980], EPOCH [14/100], ITER [1218/1674] 
LOSS: 0.00147064, TIME: 11890.6s
STEP [23000], EPOCH [14/100], ITER [1238/1674] 
LOSS: 0.00136587, TIME: 11893.4s
STEP [23020], EPOCH [14/100], ITER [1258/1674] 
LOSS: 0.00142790, TIME: 11896.4s
STEP [23040], EPOCH [14/100], ITER [1278/1674] 
LOSS: 0.00122186, TIME: 11899.2s
STEP [23060], EPOCH [14/100], ITER [1298/1674] 
LOSS: 0.00101952, TIME: 11902.1s
STEP [23080], EPOCH [14/100], ITER [1318/1674] 
LOSS: 0.00130242, TIME: 11905.0s
STEP [23100], EPOCH [14/100], ITER [1338/1674] 
LOSS: 0.00200259, TIME: 11907.8s
STEP [23120], EPOCH [14/100], ITER [1358/1674] 
LOSS: 0.00131084, TIME: 11910.7s
STEP [23140], EPOCH [14/100], ITER [1378/1674] 
LOSS: 0.00221778, TIME: 11913.6s
STEP [23160], EPOCH [14/100], ITER [1398/1674] 
LOSS: 0.00157803, TIME: 11916.5s
STEP [23180], EPOCH [14/100], ITER [1418/1674] 
LOSS: 0.00186128, TIME: 11919.3s
STEP [23200], EPOCH [14/100], ITER [1438/1674] 
LOSS: 0.00123197, TIME: 11922.2s
STEP [23220], EPOCH [14/100], ITER [1458/1674] 
LOSS: 0.00157976, TIME: 11925.1s
STEP [23240], EPOCH [14/100], ITER [1478/1674] 
LOSS: 0.00449453, TIME: 11928.0s
STEP [23260], EPOCH [14/100], ITER [1498/1674] 
LOSS: 0.00154205, TIME: 11930.8s
STEP [23280], EPOCH [14/100], ITER [1518/1674] 
LOSS: 0.00171040, TIME: 11933.7s
STEP [23300], EPOCH [14/100], ITER [1538/1674] 
LOSS: 0.00087932, TIME: 11936.6s
STEP [23320], EPOCH [14/100], ITER [1558/1674] 
LOSS: 0.00154006, TIME: 11939.4s
STEP [23340], EPOCH [14/100], ITER [1578/1674] 
LOSS: 0.00169187, TIME: 11942.3s
STEP [23360], EPOCH [14/100], ITER [1598/1674] 
LOSS: 0.00130970, TIME: 11945.2s
STEP [23380], EPOCH [14/100], ITER [1618/1674] 
LOSS: 0.00177312, TIME: 11948.1s
STEP [23400], EPOCH [14/100], ITER [1638/1674] 
LOSS: 0.00173820, TIME: 11950.9s
STEP [23420], EPOCH [14/100], ITER [1658/1674] 
LOSS: 0.00266495, TIME: 11953.8s
STEP [23440], EPOCH [15/100], ITER [4/1674] 
LOSS: 0.00230424, TIME: 11959.1s
STEP [23460], EPOCH [15/100], ITER [24/1674] 
LOSS: 0.00151511, TIME: 11962.0s
STEP [23480], EPOCH [15/100], ITER [44/1674] 
LOSS: 0.00158502, TIME: 11964.9s
STEP [23500], EPOCH [15/100], ITER [64/1674] 
LOSS: 0.00108214, TIME: 11967.7s
STEP [23520], EPOCH [15/100], ITER [84/1674] 
LOSS: 0.00125914, TIME: 11970.6s
STEP [23540], EPOCH [15/100], ITER [104/1674] 
LOSS: 0.00129375, TIME: 11973.5s
STEP [23560], EPOCH [15/100], ITER [124/1674] 
LOSS: 0.00187926, TIME: 11976.3s
STEP [23580], EPOCH [15/100], ITER [144/1674] 
LOSS: 0.00188850, TIME: 11979.2s
STEP [23600], EPOCH [15/100], ITER [164/1674] 
LOSS: 0.00139927, TIME: 11982.1s
STEP [23620], EPOCH [15/100], ITER [184/1674] 
LOSS: 0.00136359, TIME: 11984.9s
STEP [23640], EPOCH [15/100], ITER [204/1674] 
LOSS: 0.00148988, TIME: 11987.8s
STEP [23660], EPOCH [15/100], ITER [224/1674] 
LOSS: 0.00137484, TIME: 11990.7s
STEP [23680], EPOCH [15/100], ITER [244/1674] 
LOSS: 0.00196256, TIME: 11993.5s
STEP [23700], EPOCH [15/100], ITER [264/1674] 
LOSS: 0.00179962, TIME: 11996.4s
STEP [23720], EPOCH [15/100], ITER [284/1674] 
LOSS: 0.00139470, TIME: 11999.3s
STEP [23740], EPOCH [15/100], ITER [304/1674] 
LOSS: 0.00235240, TIME: 12002.1s
STEP [23760], EPOCH [15/100], ITER [324/1674] 
LOSS: 0.00087009, TIME: 12005.0s
STEP [23780], EPOCH [15/100], ITER [344/1674] 
LOSS: 0.00184685, TIME: 12007.9s
STEP [23800], EPOCH [15/100], ITER [364/1674] 
LOSS: 0.00239841, TIME: 12010.7s
STEP [23820], EPOCH [15/100], ITER [384/1674] 
LOSS: 0.00181924, TIME: 12013.6s
STEP [23840], EPOCH [15/100], ITER [404/1674] 
LOSS: 0.00193788, TIME: 12016.5s
STEP [23860], EPOCH [15/100], ITER [424/1674] 
LOSS: 0.00189976, TIME: 12019.4s
STEP [23880], EPOCH [15/100], ITER [444/1674] 
LOSS: 0.00134653, TIME: 12022.2s
STEP [23900], EPOCH [15/100], ITER [464/1674] 
LOSS: 0.00183083, TIME: 12025.1s
STEP [23920], EPOCH [15/100], ITER [484/1674] 
LOSS: 0.00181708, TIME: 12028.0s
STEP [23940], EPOCH [15/100], ITER [504/1674] 
LOSS: 0.00168082, TIME: 12030.8s
STEP [23960], EPOCH [15/100], ITER [524/1674] 
LOSS: 0.00190650, TIME: 12033.7s
STEP [23980], EPOCH [15/100], ITER [544/1674] 
LOSS: 0.00154980, TIME: 12036.6s
STEP [24000], EPOCH [15/100], ITER [564/1674] 
LOSS: 0.00155010, TIME: 12039.5s
STEP [24020], EPOCH [15/100], ITER [584/1674] 
LOSS: 0.00107861, TIME: 12042.4s
STEP [24040], EPOCH [15/100], ITER [604/1674] 
LOSS: 0.00269557, TIME: 12045.3s
STEP [24060], EPOCH [15/100], ITER [624/1674] 
LOSS: 0.00130487, TIME: 12048.1s
STEP [24080], EPOCH [15/100], ITER [644/1674] 
LOSS: 0.00123129, TIME: 12051.0s
STEP [24100], EPOCH [15/100], ITER [664/1674] 
LOSS: 0.00129382, TIME: 12053.9s
STEP [24120], EPOCH [15/100], ITER [684/1674] 
LOSS: 0.00156241, TIME: 12056.7s
STEP [24140], EPOCH [15/100], ITER [704/1674] 
LOSS: 0.00206762, TIME: 12059.6s
STEP [24160], EPOCH [15/100], ITER [724/1674] 
LOSS: 0.00182558, TIME: 12062.5s
STEP [24180], EPOCH [15/100], ITER [744/1674] 
LOSS: 0.00192731, TIME: 12065.3s
STEP [24200], EPOCH [15/100], ITER [764/1674] 
LOSS: 0.00127776, TIME: 12068.2s
STEP [24220], EPOCH [15/100], ITER [784/1674] 
LOSS: 0.00133582, TIME: 12071.1s
STEP [24240], EPOCH [15/100], ITER [804/1674] 
LOSS: 0.00173530, TIME: 12074.0s
STEP [24260], EPOCH [15/100], ITER [824/1674] 
LOSS: 0.00175473, TIME: 12076.8s
STEP [24280], EPOCH [15/100], ITER [844/1674] 
LOSS: 0.00192681, TIME: 12079.7s
STEP [24300], EPOCH [15/100], ITER [864/1674] 
LOSS: 0.00161072, TIME: 12082.6s
STEP [24320], EPOCH [15/100], ITER [884/1674] 
LOSS: 0.00156797, TIME: 12085.4s
STEP [24340], EPOCH [15/100], ITER [904/1674] 
LOSS: 0.00127475, TIME: 12088.3s
STEP [24360], EPOCH [15/100], ITER [924/1674] 
LOSS: 0.00126866, TIME: 12091.2s
STEP [24380], EPOCH [15/100], ITER [944/1674] 
LOSS: 0.00118138, TIME: 12094.0s
STEP [24400], EPOCH [15/100], ITER [964/1674] 
LOSS: 0.00200152, TIME: 12096.9s
STEP [24420], EPOCH [15/100], ITER [984/1674] 
LOSS: 0.00115106, TIME: 12099.8s
STEP [24440], EPOCH [15/100], ITER [1004/1674] 
LOSS: 0.00110959, TIME: 12102.6s
STEP [24460], EPOCH [15/100], ITER [1024/1674] 
LOSS: 0.00145880, TIME: 12105.5s
STEP [24480], EPOCH [15/100], ITER [1044/1674] 
LOSS: 0.00178735, TIME: 12108.4s
STEP [24500], EPOCH [15/100], ITER [1064/1674] 
LOSS: 0.00245968, TIME: 12111.3s
STEP [24520], EPOCH [15/100], ITER [1084/1674] 
LOSS: 0.00197782, TIME: 12114.1s
STEP [24540], EPOCH [15/100], ITER [1104/1674] 
LOSS: 0.00114735, TIME: 12117.0s
STEP [24560], EPOCH [15/100], ITER [1124/1674] 
LOSS: 0.00168350, TIME: 12119.9s
STEP [24580], EPOCH [15/100], ITER [1144/1674] 
LOSS: 0.00184599, TIME: 12122.7s
STEP [24600], EPOCH [15/100], ITER [1164/1674] 
LOSS: 0.00199620, TIME: 12125.6s
STEP [24620], EPOCH [15/100], ITER [1184/1674] 
LOSS: 0.00111055, TIME: 12128.5s
STEP [24640], EPOCH [15/100], ITER [1204/1674] 
LOSS: 0.00200804, TIME: 12131.4s
STEP [24660], EPOCH [15/100], ITER [1224/1674] 
LOSS: 0.00092073, TIME: 12134.2s
STEP [24680], EPOCH [15/100], ITER [1244/1674] 
LOSS: 0.00276227, TIME: 12137.1s
STEP [24700], EPOCH [15/100], ITER [1264/1674] 
LOSS: 0.00216580, TIME: 12140.0s
STEP [24720], EPOCH [15/100], ITER [1284/1674] 
LOSS: 0.00227814, TIME: 12142.8s
STEP [24740], EPOCH [15/100], ITER [1304/1674] 
LOSS: 0.00106307, TIME: 12145.7s
STEP [24760], EPOCH [15/100], ITER [1324/1674] 
LOSS: 0.00232501, TIME: 12148.6s
STEP [24780], EPOCH [15/100], ITER [1344/1674] 
LOSS: 0.00120146, TIME: 12151.5s
STEP [24800], EPOCH [15/100], ITER [1364/1674] 
LOSS: 0.00127923, TIME: 12154.3s
STEP [24820], EPOCH [15/100], ITER [1384/1674] 
LOSS: 0.00198852, TIME: 12157.2s
STEP [24840], EPOCH [15/100], ITER [1404/1674] 
LOSS: 0.00121123, TIME: 12160.1s
STEP [24860], EPOCH [15/100], ITER [1424/1674] 
LOSS: 0.00166245, TIME: 12162.9s
STEP [24880], EPOCH [15/100], ITER [1444/1674] 
LOSS: 0.00155486, TIME: 12165.8s
STEP [24900], EPOCH [15/100], ITER [1464/1674] 
LOSS: 0.00207101, TIME: 12168.7s
STEP [24920], EPOCH [15/100], ITER [1484/1674] 
LOSS: 0.00168824, TIME: 12171.5s
STEP [24940], EPOCH [15/100], ITER [1504/1674] 
LOSS: 0.00211510, TIME: 12174.4s
STEP [24960], EPOCH [15/100], ITER [1524/1674] 
LOSS: 0.00211769, TIME: 12177.3s
STEP [24980], EPOCH [15/100], ITER [1544/1674] 
LOSS: 0.00108020, TIME: 12180.1s
STEP [25000], EPOCH [15/100], ITER [1564/1674] 
LOSS: 0.00238281, TIME: 12183.0s
STEP [25020], EPOCH [15/100], ITER [1584/1674] 
LOSS: 0.00177650, TIME: 12186.0s
STEP [25040], EPOCH [15/100], ITER [1604/1674] 
LOSS: 0.00178996, TIME: 12188.8s
STEP [25060], EPOCH [15/100], ITER [1624/1674] 
LOSS: 0.00120832, TIME: 12191.7s
STEP [25080], EPOCH [15/100], ITER [1644/1674] 
LOSS: 0.00186478, TIME: 12194.6s
STEP [25100], EPOCH [15/100], ITER [1664/1674] 
LOSS: 0.00176093, TIME: 12197.4s
STEP [25120], EPOCH [16/100], ITER [10/1674] 
LOSS: 0.00160362, TIME: 12202.6s
STEP [25140], EPOCH [16/100], ITER [30/1674] 
LOSS: 0.00131587, TIME: 12205.5s
STEP [25160], EPOCH [16/100], ITER [50/1674] 
LOSS: 0.00298409, TIME: 12208.4s
STEP [25180], EPOCH [16/100], ITER [70/1674] 
LOSS: 0.00140385, TIME: 12211.3s
STEP [25200], EPOCH [16/100], ITER [90/1674] 
LOSS: 0.00139457, TIME: 12214.1s
STEP [25220], EPOCH [16/100], ITER [110/1674] 
LOSS: 0.00139683, TIME: 12217.0s
STEP [25240], EPOCH [16/100], ITER [130/1674] 
LOSS: 0.00189492, TIME: 12219.9s
STEP [25260], EPOCH [16/100], ITER [150/1674] 
LOSS: 0.00182417, TIME: 12222.7s
STEP [25280], EPOCH [16/100], ITER [170/1674] 
LOSS: 0.00195310, TIME: 12225.6s
STEP [25300], EPOCH [16/100], ITER [190/1674] 
LOSS: 0.00159269, TIME: 12228.4s
STEP [25320], EPOCH [16/100], ITER [210/1674] 
LOSS: 0.00178824, TIME: 12231.3s
STEP [25340], EPOCH [16/100], ITER [230/1674] 
LOSS: 0.00161656, TIME: 12234.2s
STEP [25360], EPOCH [16/100], ITER [250/1674] 
LOSS: 0.00367167, TIME: 12237.1s
STEP [25380], EPOCH [16/100], ITER [270/1674] 
LOSS: 0.00200340, TIME: 12239.9s
STEP [25400], EPOCH [16/100], ITER [290/1674] 
LOSS: 0.00119929, TIME: 12242.8s
STEP [25420], EPOCH [16/100], ITER [310/1674] 
LOSS: 0.00147134, TIME: 12245.7s
STEP [25440], EPOCH [16/100], ITER [330/1674] 
LOSS: 0.00122864, TIME: 12248.5s
STEP [25460], EPOCH [16/100], ITER [350/1674] 
LOSS: 0.00204619, TIME: 12251.4s
STEP [25480], EPOCH [16/100], ITER [370/1674] 
LOSS: 0.00095493, TIME: 12254.3s
STEP [25500], EPOCH [16/100], ITER [390/1674] 
LOSS: 0.00138807, TIME: 12257.1s
STEP [25520], EPOCH [16/100], ITER [410/1674] 
LOSS: 0.00219101, TIME: 12260.0s
STEP [25540], EPOCH [16/100], ITER [430/1674] 
LOSS: 0.00147941, TIME: 12262.9s
STEP [25560], EPOCH [16/100], ITER [450/1674] 
LOSS: 0.00149773, TIME: 12265.7s
STEP [25580], EPOCH [16/100], ITER [470/1674] 
LOSS: 0.00142070, TIME: 12268.6s
STEP [25600], EPOCH [16/100], ITER [490/1674] 
LOSS: 0.00164410, TIME: 12271.5s
STEP [25620], EPOCH [16/100], ITER [510/1674] 
LOSS: 0.00163314, TIME: 12274.3s
STEP [25640], EPOCH [16/100], ITER [530/1674] 
LOSS: 0.00208472, TIME: 12277.2s
STEP [25660], EPOCH [16/100], ITER [550/1674] 
LOSS: 0.00165232, TIME: 12280.1s
STEP [25680], EPOCH [16/100], ITER [570/1674] 
LOSS: 0.00177865, TIME: 12283.0s
STEP [25700], EPOCH [16/100], ITER [590/1674] 
LOSS: 0.00141714, TIME: 12285.8s
STEP [25720], EPOCH [16/100], ITER [610/1674] 
LOSS: 0.00135827, TIME: 12288.7s
STEP [25740], EPOCH [16/100], ITER [630/1674] 
LOSS: 0.00189960, TIME: 12291.6s
STEP [25760], EPOCH [16/100], ITER [650/1674] 
LOSS: 0.00219553, TIME: 12294.4s
STEP [25780], EPOCH [16/100], ITER [670/1674] 
LOSS: 0.00106100, TIME: 12297.3s
STEP [25800], EPOCH [16/100], ITER [690/1674] 
LOSS: 0.00160974, TIME: 12300.2s
STEP [25820], EPOCH [16/100], ITER [710/1674] 
LOSS: 0.00093572, TIME: 12303.0s
STEP [25840], EPOCH [16/100], ITER [730/1674] 
LOSS: 0.00263540, TIME: 12305.9s
STEP [25860], EPOCH [16/100], ITER [750/1674] 
LOSS: 0.00144283, TIME: 12308.8s
STEP [25880], EPOCH [16/100], ITER [770/1674] 
LOSS: 0.00128640, TIME: 12311.6s
STEP [25900], EPOCH [16/100], ITER [790/1674] 
LOSS: 0.00172834, TIME: 12314.5s
STEP [25920], EPOCH [16/100], ITER [810/1674] 
LOSS: 0.00101284, TIME: 12317.4s
STEP [25940], EPOCH [16/100], ITER [830/1674] 
LOSS: 0.00261199, TIME: 12320.3s
STEP [25960], EPOCH [16/100], ITER [850/1674] 
LOSS: 0.00186434, TIME: 12323.1s
STEP [25980], EPOCH [16/100], ITER [870/1674] 
LOSS: 0.00130963, TIME: 12326.0s
STEP [26000], EPOCH [16/100], ITER [890/1674] 
LOSS: 0.00197609, TIME: 12328.9s
STEP [26020], EPOCH [16/100], ITER [910/1674] 
LOSS: 0.00134955, TIME: 12331.8s
STEP [26040], EPOCH [16/100], ITER [930/1674] 
LOSS: 0.00144730, TIME: 12334.7s
STEP [26060], EPOCH [16/100], ITER [950/1674] 
LOSS: 0.00171135, TIME: 12337.5s
STEP [26080], EPOCH [16/100], ITER [970/1674] 
LOSS: 0.00158253, TIME: 12340.4s
STEP [26100], EPOCH [16/100], ITER [990/1674] 
LOSS: 0.00163815, TIME: 12343.3s
STEP [26120], EPOCH [16/100], ITER [1010/1674] 
LOSS: 0.00103996, TIME: 12346.2s
STEP [26140], EPOCH [16/100], ITER [1030/1674] 
LOSS: 0.00167972, TIME: 12349.0s
STEP [26160], EPOCH [16/100], ITER [1050/1674] 
LOSS: 0.00205563, TIME: 12351.9s
STEP [26180], EPOCH [16/100], ITER [1070/1674] 
LOSS: 0.00145000, TIME: 12354.7s
STEP [26200], EPOCH [16/100], ITER [1090/1674] 
LOSS: 0.00159961, TIME: 12357.6s
STEP [26220], EPOCH [16/100], ITER [1110/1674] 
LOSS: 0.00202914, TIME: 12360.5s
STEP [26240], EPOCH [16/100], ITER [1130/1674] 
LOSS: 0.00172209, TIME: 12363.4s
STEP [26260], EPOCH [16/100], ITER [1150/1674] 
LOSS: 0.00095962, TIME: 12366.2s
STEP [26280], EPOCH [16/100], ITER [1170/1674] 
LOSS: 0.00184720, TIME: 12369.1s
STEP [26300], EPOCH [16/100], ITER [1190/1674] 
LOSS: 0.00179408, TIME: 12372.0s
STEP [26320], EPOCH [16/100], ITER [1210/1674] 
LOSS: 0.00175577, TIME: 12374.8s
STEP [26340], EPOCH [16/100], ITER [1230/1674] 
LOSS: 0.00199735, TIME: 12377.7s
STEP [26360], EPOCH [16/100], ITER [1250/1674] 
LOSS: 0.00172667, TIME: 12380.6s
STEP [26380], EPOCH [16/100], ITER [1270/1674] 
LOSS: 0.00173618, TIME: 12383.4s
STEP [26400], EPOCH [16/100], ITER [1290/1674] 
LOSS: 0.00120868, TIME: 12386.3s
STEP [26420], EPOCH [16/100], ITER [1310/1674] 
LOSS: 0.00107335, TIME: 12389.2s
STEP [26440], EPOCH [16/100], ITER [1330/1674] 
LOSS: 0.00200773, TIME: 12392.0s
STEP [26460], EPOCH [16/100], ITER [1350/1674] 
LOSS: 0.00136863, TIME: 12394.9s
STEP [26480], EPOCH [16/100], ITER [1370/1674] 
LOSS: 0.00106667, TIME: 12397.8s
STEP [26500], EPOCH [16/100], ITER [1390/1674] 
LOSS: 0.00181218, TIME: 12400.6s
STEP [26520], EPOCH [16/100], ITER [1410/1674] 
LOSS: 0.00126534, TIME: 12403.5s
STEP [26540], EPOCH [16/100], ITER [1430/1674] 
LOSS: 0.00209382, TIME: 12406.4s
STEP [26560], EPOCH [16/100], ITER [1450/1674] 
LOSS: 0.00091709, TIME: 12409.3s
STEP [26580], EPOCH [16/100], ITER [1470/1674] 
LOSS: 0.00118645, TIME: 12412.1s
STEP [26600], EPOCH [16/100], ITER [1490/1674] 
LOSS: 0.00128855, TIME: 12415.0s
STEP [26620], EPOCH [16/100], ITER [1510/1674] 
LOSS: 0.00159613, TIME: 12417.9s
STEP [26640], EPOCH [16/100], ITER [1530/1674] 
LOSS: 0.00116386, TIME: 12420.7s
STEP [26660], EPOCH [16/100], ITER [1550/1674] 
LOSS: 0.00122748, TIME: 12423.6s
STEP [26680], EPOCH [16/100], ITER [1570/1674] 
LOSS: 0.00124012, TIME: 12426.5s
STEP [26700], EPOCH [16/100], ITER [1590/1674] 
LOSS: 0.00164463, TIME: 12429.4s
STEP [26720], EPOCH [16/100], ITER [1610/1674] 
LOSS: 0.00146396, TIME: 12432.2s
STEP [26740], EPOCH [16/100], ITER [1630/1674] 
LOSS: 0.00220051, TIME: 12435.1s
STEP [26760], EPOCH [16/100], ITER [1650/1674] 
LOSS: 0.00122734, TIME: 12438.0s
STEP [26780], EPOCH [16/100], ITER [1670/1674] 
LOSS: 0.00231973, TIME: 12440.9s
STEP [26800], EPOCH [17/100], ITER [16/1674] 
LOSS: 0.00190630, TIME: 12446.6s
STEP [26820], EPOCH [17/100], ITER [36/1674] 
LOSS: 0.00222057, TIME: 12449.4s
STEP [26840], EPOCH [17/100], ITER [56/1674] 
LOSS: 0.00117598, TIME: 12452.3s
STEP [26860], EPOCH [17/100], ITER [76/1674] 
LOSS: 0.00152042, TIME: 12455.2s
STEP [26880], EPOCH [17/100], ITER [96/1674] 
LOSS: 0.00317337, TIME: 12458.0s
STEP [26900], EPOCH [17/100], ITER [116/1674] 
LOSS: 0.00148258, TIME: 12460.9s
STEP [26920], EPOCH [17/100], ITER [136/1674] 
LOSS: 0.00184428, TIME: 12463.8s
STEP [26940], EPOCH [17/100], ITER [156/1674] 
LOSS: 0.00141275, TIME: 12466.6s
STEP [26960], EPOCH [17/100], ITER [176/1674] 
LOSS: 0.00140576, TIME: 12469.5s
STEP [26980], EPOCH [17/100], ITER [196/1674] 
LOSS: 0.00197931, TIME: 12472.4s
STEP [27000], EPOCH [17/100], ITER [216/1674] 
LOSS: 0.00149151, TIME: 12475.2s
STEP [27020], EPOCH [17/100], ITER [236/1674] 
LOSS: 0.00125175, TIME: 12478.2s
STEP [27040], EPOCH [17/100], ITER [256/1674] 
LOSS: 0.00155833, TIME: 12481.0s
STEP [27060], EPOCH [17/100], ITER [276/1674] 
LOSS: 0.00133168, TIME: 12483.9s
STEP [27080], EPOCH [17/100], ITER [296/1674] 
LOSS: 0.00176937, TIME: 12486.8s
STEP [27100], EPOCH [17/100], ITER [316/1674] 
LOSS: 0.00199633, TIME: 12489.6s
STEP [27120], EPOCH [17/100], ITER [336/1674] 
LOSS: 0.00159038, TIME: 12492.5s
STEP [27140], EPOCH [17/100], ITER [356/1674] 
LOSS: 0.00147074, TIME: 12495.4s
STEP [27160], EPOCH [17/100], ITER [376/1674] 
LOSS: 0.00140402, TIME: 12498.2s
STEP [27180], EPOCH [17/100], ITER [396/1674] 
LOSS: 0.00159322, TIME: 12501.1s
STEP [27200], EPOCH [17/100], ITER [416/1674] 
LOSS: 0.00179285, TIME: 12504.0s
STEP [27220], EPOCH [17/100], ITER [436/1674] 
LOSS: 0.00172259, TIME: 12506.9s
STEP [27240], EPOCH [17/100], ITER [456/1674] 
LOSS: 0.00217809, TIME: 12509.7s
STEP [27260], EPOCH [17/100], ITER [476/1674] 
LOSS: 0.00139652, TIME: 12512.6s
STEP [27280], EPOCH [17/100], ITER [496/1674] 
LOSS: 0.00157501, TIME: 12515.5s
STEP [27300], EPOCH [17/100], ITER [516/1674] 
LOSS: 0.00139811, TIME: 12518.3s
STEP [27320], EPOCH [17/100], ITER [536/1674] 
LOSS: 0.00217443, TIME: 12521.2s
STEP [27340], EPOCH [17/100], ITER [556/1674] 
LOSS: 0.00154787, TIME: 12524.1s
STEP [27360], EPOCH [17/100], ITER [576/1674] 
LOSS: 0.00135361, TIME: 12527.0s
STEP [27380], EPOCH [17/100], ITER [596/1674] 
LOSS: 0.00228169, TIME: 12529.8s
STEP [27400], EPOCH [17/100], ITER [616/1674] 
LOSS: 0.00115807, TIME: 12532.7s
STEP [27420], EPOCH [17/100], ITER [636/1674] 
LOSS: 0.00173149, TIME: 12535.6s
STEP [27440], EPOCH [17/100], ITER [656/1674] 
LOSS: 0.00127607, TIME: 12538.4s
STEP [27460], EPOCH [17/100], ITER [676/1674] 
LOSS: 0.00145498, TIME: 12541.3s
STEP [27480], EPOCH [17/100], ITER [696/1674] 
LOSS: 0.00147535, TIME: 12544.2s
STEP [27500], EPOCH [17/100], ITER [716/1674] 
LOSS: 0.00165090, TIME: 12547.0s
STEP [27520], EPOCH [17/100], ITER [736/1674] 
LOSS: 0.00152835, TIME: 12549.9s
STEP [27540], EPOCH [17/100], ITER [756/1674] 
LOSS: 0.00090038, TIME: 12552.8s
STEP [27560], EPOCH [17/100], ITER [776/1674] 
LOSS: 0.00124253, TIME: 12555.6s
STEP [27580], EPOCH [17/100], ITER [796/1674] 
LOSS: 0.00135697, TIME: 12558.5s
STEP [27600], EPOCH [17/100], ITER [816/1674] 
LOSS: 0.00091850, TIME: 12561.4s
STEP [27620], EPOCH [17/100], ITER [836/1674] 
LOSS: 0.00227008, TIME: 12564.2s
STEP [27640], EPOCH [17/100], ITER [856/1674] 
LOSS: 0.00164024, TIME: 12567.1s
STEP [27660], EPOCH [17/100], ITER [876/1674] 
LOSS: 0.00125728, TIME: 12570.0s
STEP [27680], EPOCH [17/100], ITER [896/1674] 
LOSS: 0.00185832, TIME: 12572.8s
STEP [27700], EPOCH [17/100], ITER [916/1674] 
LOSS: 0.00211124, TIME: 12575.7s
STEP [27720], EPOCH [17/100], ITER [936/1674] 
LOSS: 0.00118940, TIME: 12578.6s
STEP [27740], EPOCH [17/100], ITER [956/1674] 
LOSS: 0.00145586, TIME: 12581.4s
STEP [27760], EPOCH [17/100], ITER [976/1674] 
LOSS: 0.00123676, TIME: 12584.3s
STEP [27780], EPOCH [17/100], ITER [996/1674] 
LOSS: 0.00106090, TIME: 12587.2s
STEP [27800], EPOCH [17/100], ITER [1016/1674] 
LOSS: 0.00178006, TIME: 12590.1s
STEP [27820], EPOCH [17/100], ITER [1036/1674] 
LOSS: 0.00164089, TIME: 12592.9s
STEP [27840], EPOCH [17/100], ITER [1056/1674] 
LOSS: 0.00112999, TIME: 12595.8s
STEP [27860], EPOCH [17/100], ITER [1076/1674] 
LOSS: 0.00193165, TIME: 12598.7s
STEP [27880], EPOCH [17/100], ITER [1096/1674] 
LOSS: 0.00148461, TIME: 12601.5s
STEP [27900], EPOCH [17/100], ITER [1116/1674] 
LOSS: 0.00188513, TIME: 12604.4s
STEP [27920], EPOCH [17/100], ITER [1136/1674] 
LOSS: 0.00151720, TIME: 12607.3s
STEP [27940], EPOCH [17/100], ITER [1156/1674] 
LOSS: 0.00163874, TIME: 12610.1s
STEP [27960], EPOCH [17/100], ITER [1176/1674] 
LOSS: 0.00235306, TIME: 12613.0s
STEP [27980], EPOCH [17/100], ITER [1196/1674] 
LOSS: 0.00125516, TIME: 12615.9s
STEP [28000], EPOCH [17/100], ITER [1216/1674] 
LOSS: 0.00160142, TIME: 12618.7s
STEP [28020], EPOCH [17/100], ITER [1236/1674] 
LOSS: 0.00300425, TIME: 12621.7s
STEP [28040], EPOCH [17/100], ITER [1256/1674] 
LOSS: 0.00171960, TIME: 12624.6s
STEP [28060], EPOCH [17/100], ITER [1276/1674] 
LOSS: 0.00103035, TIME: 12627.4s
STEP [28080], EPOCH [17/100], ITER [1296/1674] 
LOSS: 0.00177473, TIME: 12630.3s
STEP [28100], EPOCH [17/100], ITER [1316/1674] 
LOSS: 0.00171168, TIME: 12633.2s
STEP [28120], EPOCH [17/100], ITER [1336/1674] 
LOSS: 0.00159773, TIME: 12636.0s
STEP [28140], EPOCH [17/100], ITER [1356/1674] 
LOSS: 0.00140318, TIME: 12638.9s
STEP [28160], EPOCH [17/100], ITER [1376/1674] 
LOSS: 0.00096455, TIME: 12641.8s
STEP [28180], EPOCH [17/100], ITER [1396/1674] 
LOSS: 0.00146165, TIME: 12644.6s
STEP [28200], EPOCH [17/100], ITER [1416/1674] 
LOSS: 0.00156056, TIME: 12647.5s
STEP [28220], EPOCH [17/100], ITER [1436/1674] 
LOSS: 0.00162995, TIME: 12650.4s
STEP [28240], EPOCH [17/100], ITER [1456/1674] 
LOSS: 0.00142191, TIME: 12653.3s
STEP [28260], EPOCH [17/100], ITER [1476/1674] 
LOSS: 0.00103710, TIME: 12656.1s
STEP [28280], EPOCH [17/100], ITER [1496/1674] 
LOSS: 0.00175288, TIME: 12659.0s
STEP [28300], EPOCH [17/100], ITER [1516/1674] 
LOSS: 0.00142199, TIME: 12661.9s
STEP [28320], EPOCH [17/100], ITER [1536/1674] 
LOSS: 0.00127899, TIME: 12664.7s
STEP [28340], EPOCH [17/100], ITER [1556/1674] 
LOSS: 0.00173244, TIME: 12667.6s
STEP [28360], EPOCH [17/100], ITER [1576/1674] 
LOSS: 0.00172970, TIME: 12670.5s
STEP [28380], EPOCH [17/100], ITER [1596/1674] 
LOSS: 0.00213413, TIME: 12673.3s
STEP [28400], EPOCH [17/100], ITER [1616/1674] 
LOSS: 0.00183746, TIME: 12676.2s
STEP [28420], EPOCH [17/100], ITER [1636/1674] 
LOSS: 0.00152578, TIME: 12679.1s
STEP [28440], EPOCH [17/100], ITER [1656/1674] 
LOSS: 0.00169722, TIME: 12681.9s
STEP [28460], EPOCH [18/100], ITER [2/1674] 
LOSS: 0.00147255, TIME: 12688.0s
STEP [28480], EPOCH [18/100], ITER [22/1674] 
LOSS: 0.00118353, TIME: 12690.8s
STEP [28500], EPOCH [18/100], ITER [42/1674] 
LOSS: 0.00145907, TIME: 12693.7s
STEP [28520], EPOCH [18/100], ITER [62/1674] 
LOSS: 0.00153031, TIME: 12696.6s
STEP [28540], EPOCH [18/100], ITER [82/1674] 
LOSS: 0.00156997, TIME: 12699.4s
STEP [28560], EPOCH [18/100], ITER [102/1674] 
LOSS: 0.00166164, TIME: 12702.3s
STEP [28580], EPOCH [18/100], ITER [122/1674] 
LOSS: 0.00158311, TIME: 12705.2s
STEP [28600], EPOCH [18/100], ITER [142/1674] 
LOSS: 0.00151851, TIME: 12708.0s
STEP [28620], EPOCH [18/100], ITER [162/1674] 
LOSS: 0.00169445, TIME: 12710.9s
STEP [28640], EPOCH [18/100], ITER [182/1674] 
LOSS: 0.00255353, TIME: 12713.8s
STEP [28660], EPOCH [18/100], ITER [202/1674] 
LOSS: 0.00181371, TIME: 12716.6s
STEP [28680], EPOCH [18/100], ITER [222/1674] 
LOSS: 0.00180929, TIME: 12719.5s
STEP [28700], EPOCH [18/100], ITER [242/1674] 
LOSS: 0.00163420, TIME: 12722.4s
STEP [28720], EPOCH [18/100], ITER [262/1674] 
LOSS: 0.00100135, TIME: 12725.2s
STEP [28740], EPOCH [18/100], ITER [282/1674] 
LOSS: 0.00155318, TIME: 12728.1s
STEP [28760], EPOCH [18/100], ITER [302/1674] 
LOSS: 0.00107016, TIME: 12731.0s
STEP [28780], EPOCH [18/100], ITER [322/1674] 
LOSS: 0.00169945, TIME: 12733.9s
STEP [28800], EPOCH [18/100], ITER [342/1674] 
LOSS: 0.00150455, TIME: 12736.7s
STEP [28820], EPOCH [18/100], ITER [362/1674] 
LOSS: 0.00125178, TIME: 12739.6s
STEP [28840], EPOCH [18/100], ITER [382/1674] 
LOSS: 0.00166924, TIME: 12742.5s
STEP [28860], EPOCH [18/100], ITER [402/1674] 
LOSS: 0.00150617, TIME: 12745.3s
STEP [28880], EPOCH [18/100], ITER [422/1674] 
LOSS: 0.00150544, TIME: 12748.2s
STEP [28900], EPOCH [18/100], ITER [442/1674] 
LOSS: 0.00255414, TIME: 12751.1s
STEP [28920], EPOCH [18/100], ITER [462/1674] 
LOSS: 0.00249583, TIME: 12753.9s
STEP [28940], EPOCH [18/100], ITER [482/1674] 
LOSS: 0.00140718, TIME: 12756.8s
STEP [28960], EPOCH [18/100], ITER [502/1674] 
LOSS: 0.00132514, TIME: 12759.7s
STEP [28980], EPOCH [18/100], ITER [522/1674] 
LOSS: 0.00130159, TIME: 12762.5s
STEP [29000], EPOCH [18/100], ITER [542/1674] 
LOSS: 0.00238181, TIME: 12765.4s
STEP [29020], EPOCH [18/100], ITER [562/1674] 
LOSS: 0.00094293, TIME: 12768.3s
STEP [29040], EPOCH [18/100], ITER [582/1674] 
LOSS: 0.00132044, TIME: 12771.2s
STEP [29060], EPOCH [18/100], ITER [602/1674] 
LOSS: 0.00174626, TIME: 12774.1s
STEP [29080], EPOCH [18/100], ITER [622/1674] 
LOSS: 0.00146969, TIME: 12776.9s
STEP [29100], EPOCH [18/100], ITER [642/1674] 
LOSS: 0.00119033, TIME: 12779.8s
STEP [29120], EPOCH [18/100], ITER [662/1674] 
LOSS: 0.00213693, TIME: 12782.6s
STEP [29140], EPOCH [18/100], ITER [682/1674] 
LOSS: 0.00240286, TIME: 12785.5s
STEP [29160], EPOCH [18/100], ITER [702/1674] 
LOSS: 0.00196717, TIME: 12788.4s
STEP [29180], EPOCH [18/100], ITER [722/1674] 
LOSS: 0.00142760, TIME: 12791.2s
STEP [29200], EPOCH [18/100], ITER [742/1674] 
LOSS: 0.00116841, TIME: 12794.1s
STEP [29220], EPOCH [18/100], ITER [762/1674] 
LOSS: 0.00123617, TIME: 12797.0s
STEP [29240], EPOCH [18/100], ITER [782/1674] 
LOSS: 0.00134416, TIME: 12799.8s
STEP [29260], EPOCH [18/100], ITER [802/1674] 
LOSS: 0.00133406, TIME: 12802.7s
STEP [29280], EPOCH [18/100], ITER [822/1674] 
LOSS: 0.00170358, TIME: 12805.6s
STEP [29300], EPOCH [18/100], ITER [842/1674] 
LOSS: 0.00141999, TIME: 12808.4s
STEP [29320], EPOCH [18/100], ITER [862/1674] 
LOSS: 0.00188239, TIME: 12811.3s
STEP [29340], EPOCH [18/100], ITER [882/1674] 
LOSS: 0.00231424, TIME: 12814.2s
STEP [29360], EPOCH [18/100], ITER [902/1674] 
LOSS: 0.00175775, TIME: 12817.0s
STEP [29380], EPOCH [18/100], ITER [922/1674] 
LOSS: 0.00193839, TIME: 12819.9s
STEP [29400], EPOCH [18/100], ITER [942/1674] 
LOSS: 0.00137057, TIME: 12822.8s
STEP [29420], EPOCH [18/100], ITER [962/1674] 
LOSS: 0.00258815, TIME: 12825.6s
STEP [29440], EPOCH [18/100], ITER [982/1674] 
LOSS: 0.00146969, TIME: 12828.5s
STEP [29460], EPOCH [18/100], ITER [1002/1674] 
LOSS: 0.00150564, TIME: 12831.4s
STEP [29480], EPOCH [18/100], ITER [1022/1674] 
LOSS: 0.00145768, TIME: 12834.2s
STEP [29500], EPOCH [18/100], ITER [1042/1674] 
LOSS: 0.00227709, TIME: 12837.1s
STEP [29520], EPOCH [18/100], ITER [1062/1674] 
LOSS: 0.00272794, TIME: 12840.0s
STEP [29540], EPOCH [18/100], ITER [1082/1674] 
LOSS: 0.00222894, TIME: 12842.9s
STEP [29560], EPOCH [18/100], ITER [1102/1674] 
LOSS: 0.00146073, TIME: 12845.7s
STEP [29580], EPOCH [18/100], ITER [1122/1674] 
LOSS: 0.00178015, TIME: 12848.6s
STEP [29600], EPOCH [18/100], ITER [1142/1674] 
LOSS: 0.00195810, TIME: 12851.5s
STEP [29620], EPOCH [18/100], ITER [1162/1674] 
LOSS: 0.00124333, TIME: 12854.3s
STEP [29640], EPOCH [18/100], ITER [1182/1674] 
LOSS: 0.00159193, TIME: 12857.2s
STEP [29660], EPOCH [18/100], ITER [1202/1674] 
LOSS: 0.00146179, TIME: 12860.1s
STEP [29680], EPOCH [18/100], ITER [1222/1674] 
LOSS: 0.00136245, TIME: 12862.9s
STEP [29700], EPOCH [18/100], ITER [1242/1674] 
LOSS: 0.00195427, TIME: 12865.8s
STEP [29720], EPOCH [18/100], ITER [1262/1674] 
LOSS: 0.00137384, TIME: 12868.7s
STEP [29740], EPOCH [18/100], ITER [1282/1674] 
LOSS: 0.00176824, TIME: 12871.6s
STEP [29760], EPOCH [18/100], ITER [1302/1674] 
LOSS: 0.00161101, TIME: 12874.4s
STEP [29780], EPOCH [18/100], ITER [1322/1674] 
LOSS: 0.00163318, TIME: 12877.3s
STEP [29800], EPOCH [18/100], ITER [1342/1674] 
LOSS: 0.00100191, TIME: 12880.2s
STEP [29820], EPOCH [18/100], ITER [1362/1674] 
LOSS: 0.00138068, TIME: 12883.1s
STEP [29840], EPOCH [18/100], ITER [1382/1674] 
LOSS: 0.00182457, TIME: 12885.9s
STEP [29860], EPOCH [18/100], ITER [1402/1674] 
LOSS: 0.00143025, TIME: 12888.8s
STEP [29880], EPOCH [18/100], ITER [1422/1674] 
LOSS: 0.00201412, TIME: 12891.7s
STEP [29900], EPOCH [18/100], ITER [1442/1674] 
LOSS: 0.00148193, TIME: 12894.5s
STEP [29920], EPOCH [18/100], ITER [1462/1674] 
LOSS: 0.00129549, TIME: 12897.4s
STEP [29940], EPOCH [18/100], ITER [1482/1674] 
LOSS: 0.00171915, TIME: 12900.3s
STEP [29960], EPOCH [18/100], ITER [1502/1674] 
LOSS: 0.00142265, TIME: 12903.2s
STEP [29980], EPOCH [18/100], ITER [1522/1674] 
LOSS: 0.00222923, TIME: 12906.0s
STEP [30000], EPOCH [18/100], ITER [1542/1674] 
LOSS: 0.00124404, TIME: 12908.9s
STEP [30020], EPOCH [18/100], ITER [1562/1674] 
LOSS: 0.00216634, TIME: 12911.8s
STEP [30040], EPOCH [18/100], ITER [1582/1674] 
LOSS: 0.00124577, TIME: 12914.7s
STEP [30060], EPOCH [18/100], ITER [1602/1674] 
LOSS: 0.00127694, TIME: 12917.6s
STEP [30080], EPOCH [18/100], ITER [1622/1674] 
LOSS: 0.00176204, TIME: 12920.4s
STEP [30100], EPOCH [18/100], ITER [1642/1674] 
LOSS: 0.00144079, TIME: 12923.3s
STEP [30120], EPOCH [18/100], ITER [1662/1674] 
LOSS: 0.00153538, TIME: 12926.2s
STEP [30140], EPOCH [19/100], ITER [8/1674] 
LOSS: 0.00123243, TIME: 12932.1s
STEP [30160], EPOCH [19/100], ITER [28/1674] 
LOSS: 0.00132507, TIME: 12935.0s
STEP [30180], EPOCH [19/100], ITER [48/1674] 
LOSS: 0.00160877, TIME: 12937.9s
STEP [30200], EPOCH [19/100], ITER [68/1674] 
LOSS: 0.00139981, TIME: 12940.7s
STEP [30220], EPOCH [19/100], ITER [88/1674] 
LOSS: 0.00146178, TIME: 12943.6s
STEP [30240], EPOCH [19/100], ITER [108/1674] 
LOSS: 0.00157454, TIME: 12946.4s
STEP [30260], EPOCH [19/100], ITER [128/1674] 
LOSS: 0.00189446, TIME: 12949.3s
STEP [30280], EPOCH [19/100], ITER [148/1674] 
LOSS: 0.00280549, TIME: 12952.2s
STEP [30300], EPOCH [19/100], ITER [168/1674] 
LOSS: 0.00140468, TIME: 12955.0s
STEP [30320], EPOCH [19/100], ITER [188/1674] 
LOSS: 0.00147809, TIME: 12957.9s
STEP [30340], EPOCH [19/100], ITER [208/1674] 
LOSS: 0.00165882, TIME: 12960.8s
STEP [30360], EPOCH [19/100], ITER [228/1674] 
LOSS: 0.00131864, TIME: 12963.6s
STEP [30380], EPOCH [19/100], ITER [248/1674] 
LOSS: 0.00110232, TIME: 12966.5s
STEP [30400], EPOCH [19/100], ITER [268/1674] 
LOSS: 0.00116930, TIME: 12969.4s
STEP [30420], EPOCH [19/100], ITER [288/1674] 
LOSS: 0.00177394, TIME: 12972.2s
STEP [30440], EPOCH [19/100], ITER [308/1674] 
LOSS: 0.00137767, TIME: 12975.1s
STEP [30460], EPOCH [19/100], ITER [328/1674] 
LOSS: 0.00301647, TIME: 12978.0s
STEP [30480], EPOCH [19/100], ITER [348/1674] 
LOSS: 0.00250522, TIME: 12980.8s
STEP [30500], EPOCH [19/100], ITER [368/1674] 
LOSS: 0.00128170, TIME: 12983.7s
STEP [30520], EPOCH [19/100], ITER [388/1674] 
LOSS: 0.00124920, TIME: 12986.6s
STEP [30540], EPOCH [19/100], ITER [408/1674] 
LOSS: 0.00218629, TIME: 12989.4s
STEP [30560], EPOCH [19/100], ITER [428/1674] 
LOSS: 0.00196411, TIME: 12992.3s
STEP [30580], EPOCH [19/100], ITER [448/1674] 
LOSS: 0.00132953, TIME: 12995.2s
STEP [30600], EPOCH [19/100], ITER [468/1674] 
LOSS: 0.00289486, TIME: 12998.0s
STEP [30620], EPOCH [19/100], ITER [488/1674] 
LOSS: 0.00152551, TIME: 13000.9s
STEP [30640], EPOCH [19/100], ITER [508/1674] 
LOSS: 0.00158712, TIME: 13003.8s
STEP [30660], EPOCH [19/100], ITER [528/1674] 
LOSS: 0.00137068, TIME: 13006.6s
STEP [30680], EPOCH [19/100], ITER [548/1674] 
LOSS: 0.00173747, TIME: 13009.5s
STEP [30700], EPOCH [19/100], ITER [568/1674] 
LOSS: 0.00187338, TIME: 13012.4s
STEP [30720], EPOCH [19/100], ITER [588/1674] 
LOSS: 0.00346766, TIME: 13015.2s
STEP [30740], EPOCH [19/100], ITER [608/1674] 
LOSS: 0.00169040, TIME: 13018.1s
STEP [30760], EPOCH [19/100], ITER [628/1674] 
LOSS: 0.00144832, TIME: 13021.0s
STEP [30780], EPOCH [19/100], ITER [648/1674] 
LOSS: 0.00102784, TIME: 13023.8s
STEP [30800], EPOCH [19/100], ITER [668/1674] 
LOSS: 0.00121631, TIME: 13026.7s
STEP [30820], EPOCH [19/100], ITER [688/1674] 
LOSS: 0.00183218, TIME: 13029.6s
STEP [30840], EPOCH [19/100], ITER [708/1674] 
LOSS: 0.00110048, TIME: 13032.5s
STEP [30860], EPOCH [19/100], ITER [728/1674] 
LOSS: 0.00138695, TIME: 13035.3s
STEP [30880], EPOCH [19/100], ITER [748/1674] 
LOSS: 0.00104343, TIME: 13038.2s
STEP [30900], EPOCH [19/100], ITER [768/1674] 
LOSS: 0.00161367, TIME: 13041.1s
STEP [30920], EPOCH [19/100], ITER [788/1674] 
LOSS: 0.00142695, TIME: 13043.9s
STEP [30940], EPOCH [19/100], ITER [808/1674] 
LOSS: 0.00158061, TIME: 13046.8s
STEP [30960], EPOCH [19/100], ITER [828/1674] 
LOSS: 0.00119951, TIME: 13049.7s
STEP [30980], EPOCH [19/100], ITER [848/1674] 
LOSS: 0.00171850, TIME: 13052.5s
STEP [31000], EPOCH [19/100], ITER [868/1674] 
LOSS: 0.00168622, TIME: 13055.4s
STEP [31020], EPOCH [19/100], ITER [888/1674] 
LOSS: 0.00142191, TIME: 13058.3s
STEP [31040], EPOCH [19/100], ITER [908/1674] 
LOSS: 0.00167442, TIME: 13061.2s
STEP [31060], EPOCH [19/100], ITER [928/1674] 
LOSS: 0.00160516, TIME: 13064.1s
STEP [31080], EPOCH [19/100], ITER [948/1674] 
LOSS: 0.00136191, TIME: 13066.9s
STEP [31100], EPOCH [19/100], ITER [968/1674] 
LOSS: 0.00336634, TIME: 13069.8s
STEP [31120], EPOCH [19/100], ITER [988/1674] 
LOSS: 0.00172725, TIME: 13072.7s
STEP [31140], EPOCH [19/100], ITER [1008/1674] 
LOSS: 0.00155434, TIME: 13075.5s
STEP [31160], EPOCH [19/100], ITER [1028/1674] 
LOSS: 0.00166899, TIME: 13078.4s
STEP [31180], EPOCH [19/100], ITER [1048/1674] 
LOSS: 0.00130468, TIME: 13081.3s
STEP [31200], EPOCH [19/100], ITER [1068/1674] 
LOSS: 0.00151600, TIME: 13084.1s
STEP [31220], EPOCH [19/100], ITER [1088/1674] 
LOSS: 0.00158739, TIME: 13087.0s
STEP [31240], EPOCH [19/100], ITER [1108/1674] 
LOSS: 0.00171961, TIME: 13089.9s
STEP [31260], EPOCH [19/100], ITER [1128/1674] 
LOSS: 0.00126517, TIME: 13092.8s
STEP [31280], EPOCH [19/100], ITER [1148/1674] 
LOSS: 0.00127385, TIME: 13095.6s
STEP [31300], EPOCH [19/100], ITER [1168/1674] 
LOSS: 0.00155895, TIME: 13098.5s
STEP [31320], EPOCH [19/100], ITER [1188/1674] 
LOSS: 0.00123861, TIME: 13101.4s
STEP [31340], EPOCH [19/100], ITER [1208/1674] 
LOSS: 0.00148044, TIME: 13104.2s
STEP [31360], EPOCH [19/100], ITER [1228/1674] 
LOSS: 0.00123113, TIME: 13107.1s
STEP [31380], EPOCH [19/100], ITER [1248/1674] 
LOSS: 0.00154662, TIME: 13110.0s
STEP [31400], EPOCH [19/100], ITER [1268/1674] 
LOSS: 0.00117734, TIME: 13112.8s
STEP [31420], EPOCH [19/100], ITER [1288/1674] 
LOSS: 0.00163448, TIME: 13115.7s
STEP [31440], EPOCH [19/100], ITER [1308/1674] 
LOSS: 0.00136126, TIME: 13118.6s
STEP [31460], EPOCH [19/100], ITER [1328/1674] 
LOSS: 0.00136260, TIME: 13121.5s
STEP [31480], EPOCH [19/100], ITER [1348/1674] 
LOSS: 0.00163792, TIME: 13124.3s
STEP [31500], EPOCH [19/100], ITER [1368/1674] 
LOSS: 0.00135094, TIME: 13127.2s
STEP [31520], EPOCH [19/100], ITER [1388/1674] 
LOSS: 0.00480992, TIME: 13130.1s
STEP [31540], EPOCH [19/100], ITER [1408/1674] 
LOSS: 0.00119862, TIME: 13132.9s
STEP [31560], EPOCH [19/100], ITER [1428/1674] 
LOSS: 0.00108200, TIME: 13135.8s
STEP [31580], EPOCH [19/100], ITER [1448/1674] 
LOSS: 0.00122434, TIME: 13138.7s
STEP [31600], EPOCH [19/100], ITER [1468/1674] 
LOSS: 0.00126630, TIME: 13141.5s
STEP [31620], EPOCH [19/100], ITER [1488/1674] 
LOSS: 0.00263418, TIME: 13144.4s
STEP [31640], EPOCH [19/100], ITER [1508/1674] 
LOSS: 0.00176495, TIME: 13147.3s
STEP [31660], EPOCH [19/100], ITER [1528/1674] 
LOSS: 0.00127938, TIME: 13150.1s
STEP [31680], EPOCH [19/100], ITER [1548/1674] 
LOSS: 0.00154727, TIME: 13153.0s
STEP [31700], EPOCH [19/100], ITER [1568/1674] 
LOSS: 0.00112261, TIME: 13155.9s
STEP [31720], EPOCH [19/100], ITER [1588/1674] 
LOSS: 0.00212493, TIME: 13158.7s
STEP [31740], EPOCH [19/100], ITER [1608/1674] 
LOSS: 0.00096915, TIME: 13161.6s
STEP [31760], EPOCH [19/100], ITER [1628/1674] 
LOSS: 0.00119163, TIME: 13164.5s
STEP [31780], EPOCH [19/100], ITER [1648/1674] 
LOSS: 0.00312429, TIME: 13167.3s
STEP [31800], EPOCH [19/100], ITER [1668/1674] 
LOSS: 0.00186514, TIME: 13170.2s
STEP [31820], EPOCH [20/100], ITER [14/1674] 
LOSS: 0.00181666, TIME: 13175.5s
STEP [31840], EPOCH [20/100], ITER [34/1674] 
LOSS: 0.00174131, TIME: 13178.4s
STEP [31860], EPOCH [20/100], ITER [54/1674] 
LOSS: 0.00094554, TIME: 13181.3s
STEP [31880], EPOCH [20/100], ITER [74/1674] 
LOSS: 0.00177002, TIME: 13184.1s
STEP [31900], EPOCH [20/100], ITER [94/1674] 
LOSS: 0.00175967, TIME: 13187.0s
STEP [31920], EPOCH [20/100], ITER [114/1674] 
LOSS: 0.00117728, TIME: 13189.9s
STEP [31940], EPOCH [20/100], ITER [134/1674] 
LOSS: 0.00107876, TIME: 13192.7s
STEP [31960], EPOCH [20/100], ITER [154/1674] 
LOSS: 0.00136751, TIME: 13195.6s
STEP [31980], EPOCH [20/100], ITER [174/1674] 
LOSS: 0.00224182, TIME: 13198.5s
STEP [32000], EPOCH [20/100], ITER [194/1674] 
LOSS: 0.00126522, TIME: 13201.3s
STEP [32020], EPOCH [20/100], ITER [214/1674] 
LOSS: 0.00105461, TIME: 13204.3s
STEP [32040], EPOCH [20/100], ITER [234/1674] 
LOSS: 0.00143354, TIME: 13207.2s
STEP [32060], EPOCH [20/100], ITER [254/1674] 
LOSS: 0.00160807, TIME: 13210.0s
STEP [32080], EPOCH [20/100], ITER [274/1674] 
LOSS: 0.00150878, TIME: 13212.9s
STEP [32100], EPOCH [20/100], ITER [294/1674] 
LOSS: 0.00158945, TIME: 13215.8s
STEP [32120], EPOCH [20/100], ITER [314/1674] 
LOSS: 0.00145656, TIME: 13218.6s
STEP [32140], EPOCH [20/100], ITER [334/1674] 
LOSS: 0.00173830, TIME: 13221.5s
STEP [32160], EPOCH [20/100], ITER [354/1674] 
LOSS: 0.00180189, TIME: 13224.4s
STEP [32180], EPOCH [20/100], ITER [374/1674] 
LOSS: 0.00131839, TIME: 13227.2s
STEP [32200], EPOCH [20/100], ITER [394/1674] 
LOSS: 0.00113507, TIME: 13230.1s
STEP [32220], EPOCH [20/100], ITER [414/1674] 
LOSS: 0.00265003, TIME: 13233.0s
STEP [32240], EPOCH [20/100], ITER [434/1674] 
LOSS: 0.00183195, TIME: 13235.8s
STEP [32260], EPOCH [20/100], ITER [454/1674] 
LOSS: 0.00185800, TIME: 13238.7s
STEP [32280], EPOCH [20/100], ITER [474/1674] 
LOSS: 0.00154528, TIME: 13241.6s
STEP [32300], EPOCH [20/100], ITER [494/1674] 
LOSS: 0.00154639, TIME: 13244.4s
STEP [32320], EPOCH [20/100], ITER [514/1674] 
LOSS: 0.00163929, TIME: 13247.3s
STEP [32340], EPOCH [20/100], ITER [534/1674] 
LOSS: 0.00148845, TIME: 13250.2s
STEP [32360], EPOCH [20/100], ITER [554/1674] 
LOSS: 0.00256290, TIME: 13253.1s
STEP [32380], EPOCH [20/100], ITER [574/1674] 
LOSS: 0.00171011, TIME: 13255.9s
STEP [32400], EPOCH [20/100], ITER [594/1674] 
LOSS: 0.00267403, TIME: 13258.8s
STEP [32420], EPOCH [20/100], ITER [614/1674] 
LOSS: 0.00151854, TIME: 13261.7s
STEP [32440], EPOCH [20/100], ITER [634/1674] 
LOSS: 0.00141335, TIME: 13264.5s
STEP [32460], EPOCH [20/100], ITER [654/1674] 
LOSS: 0.00113916, TIME: 13267.4s
STEP [32480], EPOCH [20/100], ITER [674/1674] 
LOSS: 0.00129260, TIME: 13270.3s
STEP [32500], EPOCH [20/100], ITER [694/1674] 
LOSS: 0.00120491, TIME: 13273.1s
STEP [32520], EPOCH [20/100], ITER [714/1674] 
LOSS: 0.00149081, TIME: 13276.0s
STEP [32540], EPOCH [20/100], ITER [734/1674] 
LOSS: 0.00208236, TIME: 13278.9s
STEP [32560], EPOCH [20/100], ITER [754/1674] 
LOSS: 0.00162321, TIME: 13281.7s
STEP [32580], EPOCH [20/100], ITER [774/1674] 
LOSS: 0.00227525, TIME: 13284.6s
STEP [32600], EPOCH [20/100], ITER [794/1674] 
LOSS: 0.00101138, TIME: 13287.5s
STEP [32620], EPOCH [20/100], ITER [814/1674] 
LOSS: 0.00124886, TIME: 13290.3s
STEP [32640], EPOCH [20/100], ITER [834/1674] 
LOSS: 0.00128965, TIME: 13293.2s
STEP [32660], EPOCH [20/100], ITER [854/1674] 
LOSS: 0.00172624, TIME: 13296.1s
STEP [32680], EPOCH [20/100], ITER [874/1674] 
LOSS: 0.00104876, TIME: 13298.9s
STEP [32700], EPOCH [20/100], ITER [894/1674] 
LOSS: 0.00106763, TIME: 13301.8s
STEP [32720], EPOCH [20/100], ITER [914/1674] 
LOSS: 0.00132564, TIME: 13304.7s
STEP [32740], EPOCH [20/100], ITER [934/1674] 
LOSS: 0.00133123, TIME: 13307.5s
STEP [32760], EPOCH [20/100], ITER [954/1674] 
LOSS: 0.00168739, TIME: 13310.4s
STEP [32780], EPOCH [20/100], ITER [974/1674] 
LOSS: 0.00135766, TIME: 13313.3s
STEP [32800], EPOCH [20/100], ITER [994/1674] 
LOSS: 0.00191905, TIME: 13316.1s
STEP [32820], EPOCH [20/100], ITER [1014/1674] 
LOSS: 0.00133062, TIME: 13319.0s
STEP [32840], EPOCH [20/100], ITER [1034/1674] 
LOSS: 0.00174496, TIME: 13321.9s
STEP [32860], EPOCH [20/100], ITER [1054/1674] 
LOSS: 0.00174856, TIME: 13324.7s
STEP [32880], EPOCH [20/100], ITER [1074/1674] 
LOSS: 0.00173105, TIME: 13327.6s
STEP [32900], EPOCH [20/100], ITER [1094/1674] 
LOSS: 0.00188307, TIME: 13330.5s
STEP [32920], EPOCH [20/100], ITER [1114/1674] 
LOSS: 0.00181807, TIME: 13333.3s
STEP [32940], EPOCH [20/100], ITER [1134/1674] 
LOSS: 0.00197699, TIME: 13336.2s
STEP [32960], EPOCH [20/100], ITER [1154/1674] 
LOSS: 0.00159915, TIME: 13339.1s
STEP [32980], EPOCH [20/100], ITER [1174/1674] 
LOSS: 0.00144533, TIME: 13341.9s
STEP [33000], EPOCH [20/100], ITER [1194/1674] 
LOSS: 0.00244867, TIME: 13344.8s
STEP [33020], EPOCH [20/100], ITER [1214/1674] 
LOSS: 0.00158061, TIME: 13347.7s
STEP [33040], EPOCH [20/100], ITER [1234/1674] 
LOSS: 0.00121446, TIME: 13350.6s
STEP [33060], EPOCH [20/100], ITER [1254/1674] 
LOSS: 0.00124730, TIME: 13353.5s
STEP [33080], EPOCH [20/100], ITER [1274/1674] 
LOSS: 0.00130803, TIME: 13356.3s
STEP [33100], EPOCH [20/100], ITER [1294/1674] 
LOSS: 0.00209150, TIME: 13359.2s
STEP [33120], EPOCH [20/100], ITER [1314/1674] 
LOSS: 0.00128315, TIME: 13362.1s
STEP [33140], EPOCH [20/100], ITER [1334/1674] 
LOSS: 0.00162637, TIME: 13364.9s
STEP [33160], EPOCH [20/100], ITER [1354/1674] 
LOSS: 0.00150150, TIME: 13367.8s
STEP [33180], EPOCH [20/100], ITER [1374/1674] 
LOSS: 0.00169222, TIME: 13370.7s
STEP [33200], EPOCH [20/100], ITER [1394/1674] 
LOSS: 0.00144890, TIME: 13373.6s
STEP [33220], EPOCH [20/100], ITER [1414/1674] 
LOSS: 0.00155179, TIME: 13376.4s
STEP [33240], EPOCH [20/100], ITER [1434/1674] 
LOSS: 0.00147148, TIME: 13379.3s
STEP [33260], EPOCH [20/100], ITER [1454/1674] 
LOSS: 0.00101353, TIME: 13382.2s
STEP [33280], EPOCH [20/100], ITER [1474/1674] 
LOSS: 0.00316943, TIME: 13385.0s
STEP [33300], EPOCH [20/100], ITER [1494/1674] 
LOSS: 0.00135767, TIME: 13387.9s
STEP [33320], EPOCH [20/100], ITER [1514/1674] 
LOSS: 0.00096747, TIME: 13390.8s
STEP [33340], EPOCH [20/100], ITER [1534/1674] 
LOSS: 0.00117737, TIME: 13393.6s
STEP [33360], EPOCH [20/100], ITER [1554/1674] 
LOSS: 0.00234123, TIME: 13396.5s
STEP [33380], EPOCH [20/100], ITER [1574/1674] 
LOSS: 0.00107807, TIME: 13399.4s
STEP [33400], EPOCH [20/100], ITER [1594/1674] 
LOSS: 0.00239425, TIME: 13402.2s
STEP [33420], EPOCH [20/100], ITER [1614/1674] 
LOSS: 0.00115189, TIME: 13405.1s
STEP [33440], EPOCH [20/100], ITER [1634/1674] 
LOSS: 0.00137952, TIME: 13408.0s
STEP [33460], EPOCH [20/100], ITER [1654/1674] 
LOSS: 0.00148198, TIME: 13410.8s
STEP [33480], EPOCH [20/100], ITER [1674/1674] 
LOSS: 0.00154198, TIME: 13413.7s
STEP [33500], EPOCH [21/100], ITER [20/1674] 
LOSS: 0.00212424, TIME: 13419.0s
STEP [33520], EPOCH [21/100], ITER [40/1674] 
LOSS: 0.00159779, TIME: 13421.8s
STEP [33540], EPOCH [21/100], ITER [60/1674] 
LOSS: 0.00144256, TIME: 13424.7s
STEP [33560], EPOCH [21/100], ITER [80/1674] 
LOSS: 0.00146587, TIME: 13427.6s
STEP [33580], EPOCH [21/100], ITER [100/1674] 
LOSS: 0.00130025, TIME: 13430.4s
STEP [33600], EPOCH [21/100], ITER [120/1674] 
LOSS: 0.00127797, TIME: 13433.3s
STEP [33620], EPOCH [21/100], ITER [140/1674] 
LOSS: 0.00090060, TIME: 13436.2s
STEP [33640], EPOCH [21/100], ITER [160/1674] 
LOSS: 0.00156951, TIME: 13439.1s
STEP [33660], EPOCH [21/100], ITER [180/1674] 
LOSS: 0.00118532, TIME: 13441.9s
STEP [33680], EPOCH [21/100], ITER [200/1674] 
LOSS: 0.00152380, TIME: 13444.8s
STEP [33700], EPOCH [21/100], ITER [220/1674] 
LOSS: 0.00184379, TIME: 13447.7s
STEP [33720], EPOCH [21/100], ITER [240/1674] 
LOSS: 0.00151719, TIME: 13450.5s
STEP [33740], EPOCH [21/100], ITER [260/1674] 
LOSS: 0.00254890, TIME: 13453.4s
STEP [33760], EPOCH [21/100], ITER [280/1674] 
LOSS: 0.00173212, TIME: 13456.3s
STEP [33780], EPOCH [21/100], ITER [300/1674] 
LOSS: 0.00160343, TIME: 13459.1s
STEP [33800], EPOCH [21/100], ITER [320/1674] 
LOSS: 0.00103029, TIME: 13462.0s
STEP [33820], EPOCH [21/100], ITER [340/1674] 
LOSS: 0.00177159, TIME: 13464.9s
STEP [33840], EPOCH [21/100], ITER [360/1674] 
LOSS: 0.00113217, TIME: 13467.8s
STEP [33860], EPOCH [21/100], ITER [380/1674] 
LOSS: 0.00203859, TIME: 13470.6s
STEP [33880], EPOCH [21/100], ITER [400/1674] 
LOSS: 0.00140963, TIME: 13473.5s
STEP [33900], EPOCH [21/100], ITER [420/1674] 
LOSS: 0.00296832, TIME: 13476.4s
STEP [33920], EPOCH [21/100], ITER [440/1674] 
LOSS: 0.00145972, TIME: 13479.2s
STEP [33940], EPOCH [21/100], ITER [460/1674] 
LOSS: 0.00222005, TIME: 13482.1s
STEP [33960], EPOCH [21/100], ITER [480/1674] 
LOSS: 0.00134004, TIME: 13485.0s
STEP [33980], EPOCH [21/100], ITER [500/1674] 
LOSS: 0.00139952, TIME: 13487.9s
STEP [34000], EPOCH [21/100], ITER [520/1674] 
LOSS: 0.00194621, TIME: 13490.7s
STEP [34020], EPOCH [21/100], ITER [540/1674] 
LOSS: 0.00197416, TIME: 13493.7s
STEP [34040], EPOCH [21/100], ITER [560/1674] 
LOSS: 0.00149321, TIME: 13496.5s
STEP [34060], EPOCH [21/100], ITER [580/1674] 
LOSS: 0.00086042, TIME: 13499.4s
STEP [34080], EPOCH [21/100], ITER [600/1674] 
LOSS: 0.00154162, TIME: 13502.3s
STEP [34100], EPOCH [21/100], ITER [620/1674] 
LOSS: 0.00161698, TIME: 13505.2s
STEP [34120], EPOCH [21/100], ITER [640/1674] 
LOSS: 0.00117137, TIME: 13508.0s
STEP [34140], EPOCH [21/100], ITER [660/1674] 
LOSS: 0.00108711, TIME: 13510.9s
STEP [34160], EPOCH [21/100], ITER [680/1674] 
LOSS: 0.00166215, TIME: 13513.8s
STEP [34180], EPOCH [21/100], ITER [700/1674] 
LOSS: 0.00147213, TIME: 13516.6s
STEP [34200], EPOCH [21/100], ITER [720/1674] 
LOSS: 0.00138563, TIME: 13519.5s
STEP [34220], EPOCH [21/100], ITER [740/1674] 
LOSS: 0.00162752, TIME: 13522.4s
STEP [34240], EPOCH [21/100], ITER [760/1674] 
LOSS: 0.00162022, TIME: 13525.2s
STEP [34260], EPOCH [21/100], ITER [780/1674] 
LOSS: 0.00163376, TIME: 13528.1s
STEP [34280], EPOCH [21/100], ITER [800/1674] 
LOSS: 0.00149022, TIME: 13531.0s
STEP [34300], EPOCH [21/100], ITER [820/1674] 
LOSS: 0.00215502, TIME: 13533.8s
STEP [34320], EPOCH [21/100], ITER [840/1674] 
LOSS: 0.00154258, TIME: 13536.7s
STEP [34340], EPOCH [21/100], ITER [860/1674] 
LOSS: 0.00118474, TIME: 13539.6s
STEP [34360], EPOCH [21/100], ITER [880/1674] 
LOSS: 0.00254145, TIME: 13542.4s
STEP [34380], EPOCH [21/100], ITER [900/1674] 
LOSS: 0.00176834, TIME: 13545.3s
STEP [34400], EPOCH [21/100], ITER [920/1674] 
LOSS: 0.00234167, TIME: 13548.2s
STEP [34420], EPOCH [21/100], ITER [940/1674] 
LOSS: 0.00120715, TIME: 13551.0s
STEP [34440], EPOCH [21/100], ITER [960/1674] 
LOSS: 0.00158848, TIME: 13553.9s
STEP [34460], EPOCH [21/100], ITER [980/1674] 
LOSS: 0.00103432, TIME: 13556.8s
STEP [34480], EPOCH [21/100], ITER [1000/1674] 
LOSS: 0.00151773, TIME: 13559.7s
STEP [34500], EPOCH [21/100], ITER [1020/1674] 
LOSS: 0.00196932, TIME: 13562.5s
STEP [34520], EPOCH [21/100], ITER [1040/1674] 
LOSS: 0.00142698, TIME: 13565.4s
STEP [34540], EPOCH [21/100], ITER [1060/1674] 
LOSS: 0.00181923, TIME: 13568.3s
STEP [34560], EPOCH [21/100], ITER [1080/1674] 
LOSS: 0.00166934, TIME: 13571.1s
STEP [34580], EPOCH [21/100], ITER [1100/1674] 
LOSS: 0.00123394, TIME: 13574.0s
STEP [34600], EPOCH [21/100], ITER [1120/1674] 
LOSS: 0.00158657, TIME: 13576.9s
STEP [34620], EPOCH [21/100], ITER [1140/1674] 
LOSS: 0.00115058, TIME: 13579.7s
STEP [34640], EPOCH [21/100], ITER [1160/1674] 
LOSS: 0.00142027, TIME: 13582.6s
STEP [34660], EPOCH [21/100], ITER [1180/1674] 
LOSS: 0.00098642, TIME: 13585.5s
STEP [34680], EPOCH [21/100], ITER [1200/1674] 
LOSS: 0.00187339, TIME: 13588.3s
STEP [34700], EPOCH [21/100], ITER [1220/1674] 
LOSS: 0.00123686, TIME: 13591.2s
STEP [34720], EPOCH [21/100], ITER [1240/1674] 
LOSS: 0.00121974, TIME: 13594.1s
STEP [34740], EPOCH [21/100], ITER [1260/1674] 
LOSS: 0.00179715, TIME: 13596.9s
STEP [34760], EPOCH [21/100], ITER [1280/1674] 
LOSS: 0.00215240, TIME: 13599.8s
STEP [34780], EPOCH [21/100], ITER [1300/1674] 
LOSS: 0.00259550, TIME: 13602.7s
STEP [34800], EPOCH [21/100], ITER [1320/1674] 
LOSS: 0.00163448, TIME: 13605.5s
STEP [34820], EPOCH [21/100], ITER [1340/1674] 
LOSS: 0.00135834, TIME: 13608.4s
STEP [34840], EPOCH [21/100], ITER [1360/1674] 
LOSS: 0.00116230, TIME: 13611.3s
STEP [34860], EPOCH [21/100], ITER [1380/1674] 
LOSS: 0.00283700, TIME: 13614.1s
STEP [34880], EPOCH [21/100], ITER [1400/1674] 
LOSS: 0.00131810, TIME: 13617.0s
STEP [34900], EPOCH [21/100], ITER [1420/1674] 
LOSS: 0.00189428, TIME: 13619.9s
STEP [34920], EPOCH [21/100], ITER [1440/1674] 
LOSS: 0.00096258, TIME: 13622.7s
STEP [34940], EPOCH [21/100], ITER [1460/1674] 
LOSS: 0.00176508, TIME: 13625.6s
STEP [34960], EPOCH [21/100], ITER [1480/1674] 
LOSS: 0.00204403, TIME: 13628.5s
STEP [34980], EPOCH [21/100], ITER [1500/1674] 
LOSS: 0.00202324, TIME: 13631.3s
STEP [35000], EPOCH [21/100], ITER [1520/1674] 
LOSS: 0.00157244, TIME: 13634.2s
STEP [35020], EPOCH [21/100], ITER [1540/1674] 
LOSS: 0.00166519, TIME: 13637.2s
STEP [35040], EPOCH [21/100], ITER [1560/1674] 
LOSS: 0.00124875, TIME: 13640.0s
STEP [35060], EPOCH [21/100], ITER [1580/1674] 
LOSS: 0.00112276, TIME: 13642.9s
STEP [35080], EPOCH [21/100], ITER [1600/1674] 
LOSS: 0.00249426, TIME: 13645.8s
STEP [35100], EPOCH [21/100], ITER [1620/1674] 
LOSS: 0.00215866, TIME: 13648.6s
STEP [35120], EPOCH [21/100], ITER [1640/1674] 
LOSS: 0.00150031, TIME: 13651.5s
STEP [35140], EPOCH [21/100], ITER [1660/1674] 
LOSS: 0.00156431, TIME: 13654.4s
STEP [35160], EPOCH [22/100], ITER [6/1674] 
LOSS: 0.00180439, TIME: 13659.9s
STEP [35180], EPOCH [22/100], ITER [26/1674] 
LOSS: 0.00174637, TIME: 13662.8s
STEP [35200], EPOCH [22/100], ITER [46/1674] 
LOSS: 0.00145914, TIME: 13665.6s
STEP [35220], EPOCH [22/100], ITER [66/1674] 
LOSS: 0.00232044, TIME: 13668.5s
STEP [35240], EPOCH [22/100], ITER [86/1674] 
LOSS: 0.00101883, TIME: 13671.4s
STEP [35260], EPOCH [22/100], ITER [106/1674] 
LOSS: 0.00164547, TIME: 13674.3s
STEP [35280], EPOCH [22/100], ITER [126/1674] 
LOSS: 0.00110687, TIME: 13677.1s
STEP [35300], EPOCH [22/100], ITER [146/1674] 
LOSS: 0.00172932, TIME: 13680.0s
STEP [35320], EPOCH [22/100], ITER [166/1674] 
LOSS: 0.00144101, TIME: 13682.9s
STEP [35340], EPOCH [22/100], ITER [186/1674] 
LOSS: 0.00123410, TIME: 13685.7s
STEP [35360], EPOCH [22/100], ITER [206/1674] 
LOSS: 0.00133332, TIME: 13688.6s
STEP [35380], EPOCH [22/100], ITER [226/1674] 
LOSS: 0.00207390, TIME: 13691.5s
STEP [35400], EPOCH [22/100], ITER [246/1674] 
LOSS: 0.00170572, TIME: 13694.3s
STEP [35420], EPOCH [22/100], ITER [266/1674] 
LOSS: 0.00143359, TIME: 13697.2s
STEP [35440], EPOCH [22/100], ITER [286/1674] 
LOSS: 0.00122165, TIME: 13700.1s
STEP [35460], EPOCH [22/100], ITER [306/1674] 
LOSS: 0.00136183, TIME: 13703.0s
STEP [35480], EPOCH [22/100], ITER [326/1674] 
LOSS: 0.00167849, TIME: 13705.8s
STEP [35500], EPOCH [22/100], ITER [346/1674] 
LOSS: 0.00236051, TIME: 13708.7s
STEP [35520], EPOCH [22/100], ITER [366/1674] 
LOSS: 0.00107120, TIME: 13711.6s
STEP [35540], EPOCH [22/100], ITER [386/1674] 
LOSS: 0.00176159, TIME: 13714.4s
STEP [35560], EPOCH [22/100], ITER [406/1674] 
LOSS: 0.00129938, TIME: 13717.3s
STEP [35580], EPOCH [22/100], ITER [426/1674] 
LOSS: 0.00140444, TIME: 13720.2s
STEP [35600], EPOCH [22/100], ITER [446/1674] 
LOSS: 0.00121880, TIME: 13723.0s
STEP [35620], EPOCH [22/100], ITER [466/1674] 
LOSS: 0.00168099, TIME: 13725.9s
STEP [35640], EPOCH [22/100], ITER [486/1674] 
LOSS: 0.00146530, TIME: 13728.8s
STEP [35660], EPOCH [22/100], ITER [506/1674] 
LOSS: 0.00182465, TIME: 13731.6s
STEP [35680], EPOCH [22/100], ITER [526/1674] 
LOSS: 0.00137360, TIME: 13734.5s
STEP [35700], EPOCH [22/100], ITER [546/1674] 
LOSS: 0.00138472, TIME: 13737.4s
STEP [35720], EPOCH [22/100], ITER [566/1674] 
LOSS: 0.00134829, TIME: 13740.2s
STEP [35740], EPOCH [22/100], ITER [586/1674] 
LOSS: 0.00175482, TIME: 13743.1s
STEP [35760], EPOCH [22/100], ITER [606/1674] 
LOSS: 0.00138818, TIME: 13746.0s
STEP [35780], EPOCH [22/100], ITER [626/1674] 
LOSS: 0.00141563, TIME: 13748.8s
STEP [35800], EPOCH [22/100], ITER [646/1674] 
LOSS: 0.00303093, TIME: 13751.7s
STEP [35820], EPOCH [22/100], ITER [666/1674] 
LOSS: 0.00162923, TIME: 13754.6s
STEP [35840], EPOCH [22/100], ITER [686/1674] 
LOSS: 0.00155759, TIME: 13757.4s
STEP [35860], EPOCH [22/100], ITER [706/1674] 
LOSS: 0.00154895, TIME: 13760.3s
STEP [35880], EPOCH [22/100], ITER [726/1674] 
LOSS: 0.00402808, TIME: 13763.2s
STEP [35900], EPOCH [22/100], ITER [746/1674] 
LOSS: 0.00206196, TIME: 13766.0s
STEP [35920], EPOCH [22/100], ITER [766/1674] 
LOSS: 0.00118667, TIME: 13768.9s
STEP [35940], EPOCH [22/100], ITER [786/1674] 
LOSS: 0.00154256, TIME: 13771.8s
STEP [35960], EPOCH [22/100], ITER [806/1674] 
LOSS: 0.00131810, TIME: 13774.6s
STEP [35980], EPOCH [22/100], ITER [826/1674] 
LOSS: 0.00163562, TIME: 13777.5s
STEP [36000], EPOCH [22/100], ITER [846/1674] 
LOSS: 0.00154825, TIME: 13780.4s
STEP [36020], EPOCH [22/100], ITER [866/1674] 
LOSS: 0.00188717, TIME: 13783.3s
STEP [36040], EPOCH [22/100], ITER [886/1674] 
LOSS: 0.00099164, TIME: 13786.2s
STEP [36060], EPOCH [22/100], ITER [906/1674] 
LOSS: 0.00192600, TIME: 13789.1s
STEP [36080], EPOCH [22/100], ITER [926/1674] 
LOSS: 0.00127116, TIME: 13791.9s
STEP [36100], EPOCH [22/100], ITER [946/1674] 
LOSS: 0.00139774, TIME: 13794.8s
STEP [36120], EPOCH [22/100], ITER [966/1674] 
LOSS: 0.00135818, TIME: 13797.7s
STEP [36140], EPOCH [22/100], ITER [986/1674] 
LOSS: 0.00146480, TIME: 13800.5s
STEP [36160], EPOCH [22/100], ITER [1006/1674] 
LOSS: 0.00155842, TIME: 13803.4s
STEP [36180], EPOCH [22/100], ITER [1026/1674] 
LOSS: 0.00200950, TIME: 13806.3s
STEP [36200], EPOCH [22/100], ITER [1046/1674] 
LOSS: 0.00183462, TIME: 13809.1s
STEP [36220], EPOCH [22/100], ITER [1066/1674] 
LOSS: 0.00118465, TIME: 13812.0s
STEP [36240], EPOCH [22/100], ITER [1086/1674] 
LOSS: 0.00198508, TIME: 13814.9s
STEP [36260], EPOCH [22/100], ITER [1106/1674] 
LOSS: 0.00223440, TIME: 13817.8s
STEP [36280], EPOCH [22/100], ITER [1126/1674] 
LOSS: 0.00150413, TIME: 13820.6s
STEP [36300], EPOCH [22/100], ITER [1146/1674] 
LOSS: 0.00238307, TIME: 13823.5s
STEP [36320], EPOCH [22/100], ITER [1166/1674] 
LOSS: 0.00149420, TIME: 13826.4s
STEP [36340], EPOCH [22/100], ITER [1186/1674] 
LOSS: 0.00105342, TIME: 13829.2s
STEP [36360], EPOCH [22/100], ITER [1206/1674] 
LOSS: 0.00097893, TIME: 13832.1s
STEP [36380], EPOCH [22/100], ITER [1226/1674] 
LOSS: 0.00128311, TIME: 13835.0s
STEP [36400], EPOCH [22/100], ITER [1246/1674] 
LOSS: 0.00166962, TIME: 13837.8s
STEP [36420], EPOCH [22/100], ITER [1266/1674] 
LOSS: 0.00123575, TIME: 13840.7s
STEP [36440], EPOCH [22/100], ITER [1286/1674] 
LOSS: 0.00183195, TIME: 13843.6s
STEP [36460], EPOCH [22/100], ITER [1306/1674] 
LOSS: 0.00093674, TIME: 13846.4s
STEP [36480], EPOCH [22/100], ITER [1326/1674] 
LOSS: 0.00152352, TIME: 13849.3s
STEP [36500], EPOCH [22/100], ITER [1346/1674] 
LOSS: 0.00182820, TIME: 13852.2s
STEP [36520], EPOCH [22/100], ITER [1366/1674] 
LOSS: 0.00238622, TIME: 13855.0s
STEP [36540], EPOCH [22/100], ITER [1386/1674] 
LOSS: 0.00131450, TIME: 13857.9s
STEP [36560], EPOCH [22/100], ITER [1406/1674] 
LOSS: 0.00234978, TIME: 13860.8s
STEP [36580], EPOCH [22/100], ITER [1426/1674] 
LOSS: 0.00203529, TIME: 13863.6s
STEP [36600], EPOCH [22/100], ITER [1446/1674] 
LOSS: 0.00175240, TIME: 13866.5s
STEP [36620], EPOCH [22/100], ITER [1466/1674] 
LOSS: 0.00167934, TIME: 13869.4s
STEP [36640], EPOCH [22/100], ITER [1486/1674] 
LOSS: 0.00169400, TIME: 13872.2s
STEP [36660], EPOCH [22/100], ITER [1506/1674] 
LOSS: 0.00131254, TIME: 13875.1s
STEP [36680], EPOCH [22/100], ITER [1526/1674] 
LOSS: 0.00280204, TIME: 13878.0s
STEP [36700], EPOCH [22/100], ITER [1546/1674] 
LOSS: 0.00177628, TIME: 13880.8s
STEP [36720], EPOCH [22/100], ITER [1566/1674] 
LOSS: 0.00104787, TIME: 13883.7s
STEP [36740], EPOCH [22/100], ITER [1586/1674] 
LOSS: 0.00126428, TIME: 13886.6s
STEP [36760], EPOCH [22/100], ITER [1606/1674] 
LOSS: 0.00145343, TIME: 13889.4s
STEP [36780], EPOCH [22/100], ITER [1626/1674] 
LOSS: 0.00139831, TIME: 13892.3s
STEP [36800], EPOCH [22/100], ITER [1646/1674] 
LOSS: 0.00192393, TIME: 13895.2s
STEP [36820], EPOCH [22/100], ITER [1666/1674] 
LOSS: 0.00148555, TIME: 13898.0s
STEP [36840], EPOCH [23/100], ITER [12/1674] 
LOSS: 0.00245073, TIME: 13903.5s
STEP [36860], EPOCH [23/100], ITER [32/1674] 
LOSS: 0.00137099, TIME: 13906.4s
STEP [36880], EPOCH [23/100], ITER [52/1674] 
LOSS: 0.00135932, TIME: 13909.2s
STEP [36900], EPOCH [23/100], ITER [72/1674] 
LOSS: 0.00173054, TIME: 13912.1s
STEP [36920], EPOCH [23/100], ITER [92/1674] 
LOSS: 0.00182385, TIME: 13915.0s
STEP [36940], EPOCH [23/100], ITER [112/1674] 
LOSS: 0.00138507, TIME: 13917.8s
STEP [36960], EPOCH [23/100], ITER [132/1674] 
LOSS: 0.00082432, TIME: 13920.7s
STEP [36980], EPOCH [23/100], ITER [152/1674] 
LOSS: 0.00163114, TIME: 13923.6s
STEP [37000], EPOCH [23/100], ITER [172/1674] 
LOSS: 0.00167335, TIME: 13926.4s
STEP [37020], EPOCH [23/100], ITER [192/1674] 
LOSS: 0.00229235, TIME: 13929.4s
STEP [37040], EPOCH [23/100], ITER [212/1674] 
LOSS: 0.00095775, TIME: 13932.2s
STEP [37060], EPOCH [23/100], ITER [232/1674] 
LOSS: 0.00126688, TIME: 13935.1s
STEP [37080], EPOCH [23/100], ITER [252/1674] 
LOSS: 0.00145626, TIME: 13938.0s
STEP [37100], EPOCH [23/100], ITER [272/1674] 
LOSS: 0.00253663, TIME: 13940.8s
STEP [37120], EPOCH [23/100], ITER [292/1674] 
LOSS: 0.00149011, TIME: 13943.7s
STEP [37140], EPOCH [23/100], ITER [312/1674] 
LOSS: 0.00125294, TIME: 13946.6s
STEP [37160], EPOCH [23/100], ITER [332/1674] 
LOSS: 0.00114714, TIME: 13949.4s
STEP [37180], EPOCH [23/100], ITER [352/1674] 
LOSS: 0.00167035, TIME: 13952.3s
STEP [37200], EPOCH [23/100], ITER [372/1674] 
LOSS: 0.00154828, TIME: 13955.2s
STEP [37220], EPOCH [23/100], ITER [392/1674] 
LOSS: 0.00115686, TIME: 13958.1s
STEP [37240], EPOCH [23/100], ITER [412/1674] 
LOSS: 0.00164318, TIME: 13960.9s
STEP [37260], EPOCH [23/100], ITER [432/1674] 
LOSS: 0.00165785, TIME: 13963.8s
STEP [37280], EPOCH [23/100], ITER [452/1674] 
LOSS: 0.00155245, TIME: 13966.7s
STEP [37300], EPOCH [23/100], ITER [472/1674] 
LOSS: 0.00110926, TIME: 13969.5s
STEP [37320], EPOCH [23/100], ITER [492/1674] 
LOSS: 0.00150798, TIME: 13972.4s
STEP [37340], EPOCH [23/100], ITER [512/1674] 
LOSS: 0.00140873, TIME: 13975.3s
STEP [37360], EPOCH [23/100], ITER [532/1674] 
LOSS: 0.00193649, TIME: 13978.1s
STEP [37380], EPOCH [23/100], ITER [552/1674] 
LOSS: 0.00190520, TIME: 13981.0s
STEP [37400], EPOCH [23/100], ITER [572/1674] 
LOSS: 0.00122962, TIME: 13983.9s
STEP [37420], EPOCH [23/100], ITER [592/1674] 
LOSS: 0.00184611, TIME: 13986.7s
STEP [37440], EPOCH [23/100], ITER [612/1674] 
LOSS: 0.00117271, TIME: 13989.6s
STEP [37460], EPOCH [23/100], ITER [632/1674] 
LOSS: 0.00183894, TIME: 13992.5s
STEP [37480], EPOCH [23/100], ITER [652/1674] 
LOSS: 0.00229471, TIME: 13995.3s
STEP [37500], EPOCH [23/100], ITER [672/1674] 
LOSS: 0.00117512, TIME: 13998.2s
STEP [37520], EPOCH [23/100], ITER [692/1674] 
LOSS: 0.00123655, TIME: 14001.1s
STEP [37540], EPOCH [23/100], ITER [712/1674] 
LOSS: 0.00184359, TIME: 14003.9s
STEP [37560], EPOCH [23/100], ITER [732/1674] 
LOSS: 0.00151332, TIME: 14006.8s
STEP [37580], EPOCH [23/100], ITER [752/1674] 
LOSS: 0.00248208, TIME: 14009.7s
STEP [37600], EPOCH [23/100], ITER [772/1674] 
LOSS: 0.00137188, TIME: 14012.6s
STEP [37620], EPOCH [23/100], ITER [792/1674] 
LOSS: 0.00124568, TIME: 14015.4s
STEP [37640], EPOCH [23/100], ITER [812/1674] 
LOSS: 0.00107811, TIME: 14018.3s
STEP [37660], EPOCH [23/100], ITER [832/1674] 
LOSS: 0.00118229, TIME: 14021.2s
STEP [37680], EPOCH [23/100], ITER [852/1674] 
LOSS: 0.00182224, TIME: 14024.0s
STEP [37700], EPOCH [23/100], ITER [872/1674] 
LOSS: 0.00159586, TIME: 14026.9s
STEP [37720], EPOCH [23/100], ITER [892/1674] 
LOSS: 0.00132560, TIME: 14029.8s
STEP [37740], EPOCH [23/100], ITER [912/1674] 
LOSS: 0.00240671, TIME: 14032.6s
STEP [37760], EPOCH [23/100], ITER [932/1674] 
LOSS: 0.00127605, TIME: 14035.5s
STEP [37780], EPOCH [23/100], ITER [952/1674] 
LOSS: 0.00213687, TIME: 14038.4s
STEP [37800], EPOCH [23/100], ITER [972/1674] 
LOSS: 0.00191273, TIME: 14041.2s
STEP [37820], EPOCH [23/100], ITER [992/1674] 
LOSS: 0.00179401, TIME: 14044.1s
STEP [37840], EPOCH [23/100], ITER [1012/1674] 
LOSS: 0.00193185, TIME: 14047.0s
STEP [37860], EPOCH [23/100], ITER [1032/1674] 
LOSS: 0.00134895, TIME: 14049.8s
STEP [37880], EPOCH [23/100], ITER [1052/1674] 
LOSS: 0.00176482, TIME: 14052.7s
STEP [37900], EPOCH [23/100], ITER [1072/1674] 
LOSS: 0.00165714, TIME: 14055.6s
STEP [37920], EPOCH [23/100], ITER [1092/1674] 
LOSS: 0.00211995, TIME: 14058.4s
STEP [37940], EPOCH [23/100], ITER [1112/1674] 
LOSS: 0.00098951, TIME: 14061.3s
STEP [37960], EPOCH [23/100], ITER [1132/1674] 
LOSS: 0.00102532, TIME: 14064.2s
STEP [37980], EPOCH [23/100], ITER [1152/1674] 
LOSS: 0.00182700, TIME: 14067.1s
STEP [38000], EPOCH [23/100], ITER [1172/1674] 
LOSS: 0.00138414, TIME: 14069.9s
STEP [38020], EPOCH [23/100], ITER [1192/1674] 
LOSS: 0.00112962, TIME: 14072.9s
STEP [38040], EPOCH [23/100], ITER [1212/1674] 
LOSS: 0.00136503, TIME: 14075.7s
STEP [38060], EPOCH [23/100], ITER [1232/1674] 
LOSS: 0.00135196, TIME: 14078.6s
STEP [38080], EPOCH [23/100], ITER [1252/1674] 
LOSS: 0.00097874, TIME: 14081.5s
STEP [38100], EPOCH [23/100], ITER [1272/1674] 
LOSS: 0.00135407, TIME: 14084.3s
STEP [38120], EPOCH [23/100], ITER [1292/1674] 
LOSS: 0.00138254, TIME: 14087.2s
STEP [38140], EPOCH [23/100], ITER [1312/1674] 
LOSS: 0.00114884, TIME: 14090.1s
STEP [38160], EPOCH [23/100], ITER [1332/1674] 
LOSS: 0.00198775, TIME: 14092.9s
STEP [38180], EPOCH [23/100], ITER [1352/1674] 
LOSS: 0.00112114, TIME: 14095.8s
STEP [38200], EPOCH [23/100], ITER [1372/1674] 
LOSS: 0.00178965, TIME: 14098.7s
STEP [38220], EPOCH [23/100], ITER [1392/1674] 
LOSS: 0.00117702, TIME: 14101.5s
STEP [38240], EPOCH [23/100], ITER [1412/1674] 
LOSS: 0.00169909, TIME: 14104.4s
STEP [38260], EPOCH [23/100], ITER [1432/1674] 
LOSS: 0.00167515, TIME: 14107.3s
STEP [38280], EPOCH [23/100], ITER [1452/1674] 
LOSS: 0.00107971, TIME: 14110.1s
STEP [38300], EPOCH [23/100], ITER [1472/1674] 
LOSS: 0.00158719, TIME: 14113.0s
STEP [38320], EPOCH [23/100], ITER [1492/1674] 
LOSS: 0.00145927, TIME: 14115.9s
STEP [38340], EPOCH [23/100], ITER [1512/1674] 
LOSS: 0.00220075, TIME: 14118.7s
STEP [38360], EPOCH [23/100], ITER [1532/1674] 
LOSS: 0.00125987, TIME: 14121.6s
STEP [38380], EPOCH [23/100], ITER [1552/1674] 
LOSS: 0.00149649, TIME: 14124.5s
STEP [38400], EPOCH [23/100], ITER [1572/1674] 
LOSS: 0.00186908, TIME: 14127.3s
STEP [38420], EPOCH [23/100], ITER [1592/1674] 
LOSS: 0.00256335, TIME: 14130.2s
STEP [38440], EPOCH [23/100], ITER [1612/1674] 
LOSS: 0.00143088, TIME: 14133.1s
STEP [38460], EPOCH [23/100], ITER [1632/1674] 
LOSS: 0.00125218, TIME: 14135.9s
STEP [38480], EPOCH [23/100], ITER [1652/1674] 
LOSS: 0.00198602, TIME: 14138.8s
STEP [38500], EPOCH [23/100], ITER [1672/1674] 
LOSS: 0.00163958, TIME: 14141.7s
STEP [38520], EPOCH [24/100], ITER [18/1674] 
LOSS: 0.00161157, TIME: 14146.9s
STEP [38540], EPOCH [24/100], ITER [38/1674] 
LOSS: 0.00159583, TIME: 14149.8s
STEP [38560], EPOCH [24/100], ITER [58/1674] 
LOSS: 0.00200403, TIME: 14152.6s
STEP [38580], EPOCH [24/100], ITER [78/1674] 
LOSS: 0.00130060, TIME: 14155.5s
STEP [38600], EPOCH [24/100], ITER [98/1674] 
LOSS: 0.00148305, TIME: 14158.4s
STEP [38620], EPOCH [24/100], ITER [118/1674] 
LOSS: 0.00117422, TIME: 14161.2s
STEP [38640], EPOCH [24/100], ITER [138/1674] 
LOSS: 0.00181536, TIME: 14164.1s
STEP [38660], EPOCH [24/100], ITER [158/1674] 
LOSS: 0.00123083, TIME: 14166.9s
STEP [38680], EPOCH [24/100], ITER [178/1674] 
LOSS: 0.00156100, TIME: 14169.8s
STEP [38700], EPOCH [24/100], ITER [198/1674] 
LOSS: 0.00280042, TIME: 14172.7s
STEP [38720], EPOCH [24/100], ITER [218/1674] 
LOSS: 0.00180691, TIME: 14175.5s
STEP [38740], EPOCH [24/100], ITER [238/1674] 
LOSS: 0.00144765, TIME: 14178.4s
STEP [38760], EPOCH [24/100], ITER [258/1674] 
LOSS: 0.00107253, TIME: 14181.3s
STEP [38780], EPOCH [24/100], ITER [278/1674] 
LOSS: 0.00133247, TIME: 14184.1s
STEP [38800], EPOCH [24/100], ITER [298/1674] 
LOSS: 0.00134406, TIME: 14187.0s
STEP [38820], EPOCH [24/100], ITER [318/1674] 
LOSS: 0.00133490, TIME: 14189.9s
STEP [38840], EPOCH [24/100], ITER [338/1674] 
LOSS: 0.00122396, TIME: 14192.7s
STEP [38860], EPOCH [24/100], ITER [358/1674] 
LOSS: 0.00166421, TIME: 14195.6s
STEP [38880], EPOCH [24/100], ITER [378/1674] 
LOSS: 0.00099124, TIME: 14198.5s
STEP [38900], EPOCH [24/100], ITER [398/1674] 
LOSS: 0.00100345, TIME: 14201.3s
STEP [38920], EPOCH [24/100], ITER [418/1674] 
LOSS: 0.00245162, TIME: 14204.2s
STEP [38940], EPOCH [24/100], ITER [438/1674] 
LOSS: 0.00102193, TIME: 14207.1s
STEP [38960], EPOCH [24/100], ITER [458/1674] 
LOSS: 0.00113294, TIME: 14209.9s
STEP [38980], EPOCH [24/100], ITER [478/1674] 
LOSS: 0.00108854, TIME: 14212.8s
STEP [39000], EPOCH [24/100], ITER [498/1674] 
LOSS: 0.00101398, TIME: 14215.7s
STEP [39020], EPOCH [24/100], ITER [518/1674] 
LOSS: 0.00179853, TIME: 14218.6s
STEP [39040], EPOCH [24/100], ITER [538/1674] 
LOSS: 0.00122999, TIME: 14221.5s
STEP [39060], EPOCH [24/100], ITER [558/1674] 
LOSS: 0.00193631, TIME: 14224.4s
STEP [39080], EPOCH [24/100], ITER [578/1674] 
LOSS: 0.00147657, TIME: 14227.2s
STEP [39100], EPOCH [24/100], ITER [598/1674] 
LOSS: 0.00152651, TIME: 14230.1s
STEP [39120], EPOCH [24/100], ITER [618/1674] 
LOSS: 0.00078747, TIME: 14233.0s
STEP [39140], EPOCH [24/100], ITER [638/1674] 
LOSS: 0.00098081, TIME: 14235.8s
STEP [39160], EPOCH [24/100], ITER [658/1674] 
LOSS: 0.00118913, TIME: 14238.7s
STEP [39180], EPOCH [24/100], ITER [678/1674] 
LOSS: 0.00238086, TIME: 14241.6s
STEP [39200], EPOCH [24/100], ITER [698/1674] 
LOSS: 0.00172343, TIME: 14244.5s
STEP [39220], EPOCH [24/100], ITER [718/1674] 
LOSS: 0.00070467, TIME: 14247.3s
STEP [39240], EPOCH [24/100], ITER [738/1674] 
LOSS: 0.00116329, TIME: 14250.2s
STEP [39260], EPOCH [24/100], ITER [758/1674] 
LOSS: 0.00223374, TIME: 14253.1s
STEP [39280], EPOCH [24/100], ITER [778/1674] 
LOSS: 0.00133624, TIME: 14255.9s
STEP [39300], EPOCH [24/100], ITER [798/1674] 
LOSS: 0.00111292, TIME: 14258.8s
STEP [39320], EPOCH [24/100], ITER [818/1674] 
LOSS: 0.00142508, TIME: 14261.7s
STEP [39340], EPOCH [24/100], ITER [838/1674] 
LOSS: 0.00144505, TIME: 14264.5s
STEP [39360], EPOCH [24/100], ITER [858/1674] 
LOSS: 0.00099772, TIME: 14267.4s
STEP [39380], EPOCH [24/100], ITER [878/1674] 
LOSS: 0.00122577, TIME: 14270.3s
STEP [39400], EPOCH [24/100], ITER [898/1674] 
LOSS: 0.00155789, TIME: 14273.1s
STEP [39420], EPOCH [24/100], ITER [918/1674] 
LOSS: 0.00196768, TIME: 14276.0s
STEP [39440], EPOCH [24/100], ITER [938/1674] 
LOSS: 0.00162192, TIME: 14278.9s
STEP [39460], EPOCH [24/100], ITER [958/1674] 
LOSS: 0.00136115, TIME: 14281.8s
STEP [39480], EPOCH [24/100], ITER [978/1674] 
LOSS: 0.00129975, TIME: 14284.6s
STEP [39500], EPOCH [24/100], ITER [998/1674] 
LOSS: 0.00116180, TIME: 14287.5s
STEP [39520], EPOCH [24/100], ITER [1018/1674] 
LOSS: 0.00121205, TIME: 14290.4s
STEP [39540], EPOCH [24/100], ITER [1038/1674] 
LOSS: 0.00118994, TIME: 14293.2s
STEP [39560], EPOCH [24/100], ITER [1058/1674] 
LOSS: 0.00217679, TIME: 14296.1s
STEP [39580], EPOCH [24/100], ITER [1078/1674] 
LOSS: 0.00129714, TIME: 14299.0s
STEP [39600], EPOCH [24/100], ITER [1098/1674] 
LOSS: 0.00156378, TIME: 14301.9s
STEP [39620], EPOCH [24/100], ITER [1118/1674] 
LOSS: 0.00127146, TIME: 14304.7s
STEP [39640], EPOCH [24/100], ITER [1138/1674] 
LOSS: 0.00096341, TIME: 14307.6s
STEP [39660], EPOCH [24/100], ITER [1158/1674] 
LOSS: 0.00242026, TIME: 14310.5s
STEP [39680], EPOCH [24/100], ITER [1178/1674] 
LOSS: 0.00117747, TIME: 14313.4s
STEP [39700], EPOCH [24/100], ITER [1198/1674] 
LOSS: 0.00121186, TIME: 14316.2s
STEP [39720], EPOCH [24/100], ITER [1218/1674] 
LOSS: 0.00211363, TIME: 14319.1s
STEP [39740], EPOCH [24/100], ITER [1238/1674] 
LOSS: 0.00225665, TIME: 14322.0s
STEP [39760], EPOCH [24/100], ITER [1258/1674] 
LOSS: 0.00171958, TIME: 14324.8s
STEP [39780], EPOCH [24/100], ITER [1278/1674] 
LOSS: 0.00135963, TIME: 14327.7s
STEP [39800], EPOCH [24/100], ITER [1298/1674] 
LOSS: 0.00158560, TIME: 14330.6s
STEP [39820], EPOCH [24/100], ITER [1318/1674] 
LOSS: 0.00128642, TIME: 14333.4s
STEP [39840], EPOCH [24/100], ITER [1338/1674] 
LOSS: 0.00174883, TIME: 14336.3s
STEP [39860], EPOCH [24/100], ITER [1358/1674] 
LOSS: 0.00139222, TIME: 14339.2s
STEP [39880], EPOCH [24/100], ITER [1378/1674] 
LOSS: 0.00162051, TIME: 14342.0s
STEP [39900], EPOCH [24/100], ITER [1398/1674] 
LOSS: 0.00181496, TIME: 14344.9s
STEP [39920], EPOCH [24/100], ITER [1418/1674] 
LOSS: 0.00117592, TIME: 14347.8s
STEP [39940], EPOCH [24/100], ITER [1438/1674] 
LOSS: 0.00130666, TIME: 14350.7s
STEP [39960], EPOCH [24/100], ITER [1458/1674] 
LOSS: 0.00123416, TIME: 14353.5s
STEP [39980], EPOCH [24/100], ITER [1478/1674] 
LOSS: 0.00125334, TIME: 14356.4s
STEP [40000], EPOCH [24/100], ITER [1498/1674] 
LOSS: 0.00145609, TIME: 14359.3s
STEP [40020], EPOCH [24/100], ITER [1518/1674] 
LOSS: 0.00094954, TIME: 14362.2s
STEP [40040], EPOCH [24/100], ITER [1538/1674] 
LOSS: 0.00150577, TIME: 14365.1s
STEP [40060], EPOCH [24/100], ITER [1558/1674] 
LOSS: 0.00133909, TIME: 14368.0s
STEP [40080], EPOCH [24/100], ITER [1578/1674] 
LOSS: 0.00152529, TIME: 14370.8s
STEP [40100], EPOCH [24/100], ITER [1598/1674] 
LOSS: 0.00166011, TIME: 14373.7s
STEP [40120], EPOCH [24/100], ITER [1618/1674] 
LOSS: 0.00200462, TIME: 14376.6s
STEP [40140], EPOCH [24/100], ITER [1638/1674] 
LOSS: 0.00161275, TIME: 14379.4s
STEP [40160], EPOCH [24/100], ITER [1658/1674] 
LOSS: 0.00134760, TIME: 14382.3s
STEP [40180], EPOCH [25/100], ITER [4/1674] 
LOSS: 0.00138164, TIME: 14387.6s
STEP [40200], EPOCH [25/100], ITER [24/1674] 
LOSS: 0.00117669, TIME: 14390.4s
STEP [40220], EPOCH [25/100], ITER [44/1674] 
LOSS: 0.00146239, TIME: 14393.3s
STEP [40240], EPOCH [25/100], ITER [64/1674] 
LOSS: 0.00144001, TIME: 14396.2s
STEP [40260], EPOCH [25/100], ITER [84/1674] 
LOSS: 0.00135744, TIME: 14399.0s
STEP [40280], EPOCH [25/100], ITER [104/1674] 
LOSS: 0.00136303, TIME: 14401.9s
STEP [40300], EPOCH [25/100], ITER [124/1674] 
LOSS: 0.00198333, TIME: 14404.8s
STEP [40320], EPOCH [25/100], ITER [144/1674] 
LOSS: 0.00195113, TIME: 14407.6s
STEP [40340], EPOCH [25/100], ITER [164/1674] 
LOSS: 0.00113761, TIME: 14410.5s
STEP [40360], EPOCH [25/100], ITER [184/1674] 
LOSS: 0.00289331, TIME: 14413.4s
STEP [40380], EPOCH [25/100], ITER [204/1674] 
LOSS: 0.00147684, TIME: 14416.2s
STEP [40400], EPOCH [25/100], ITER [224/1674] 
LOSS: 0.00135304, TIME: 14419.1s
STEP [40420], EPOCH [25/100], ITER [244/1674] 
LOSS: 0.00138962, TIME: 14422.0s
STEP [40440], EPOCH [25/100], ITER [264/1674] 
LOSS: 0.00164001, TIME: 14424.8s
STEP [40460], EPOCH [25/100], ITER [284/1674] 
LOSS: 0.00260257, TIME: 14427.7s
STEP [40480], EPOCH [25/100], ITER [304/1674] 
LOSS: 0.00197141, TIME: 14430.6s
STEP [40500], EPOCH [25/100], ITER [324/1674] 
LOSS: 0.00138010, TIME: 14433.4s
STEP [40520], EPOCH [25/100], ITER [344/1674] 
LOSS: 0.00142755, TIME: 14436.3s
STEP [40540], EPOCH [25/100], ITER [364/1674] 
LOSS: 0.00125561, TIME: 14439.2s
STEP [40560], EPOCH [25/100], ITER [384/1674] 
LOSS: 0.00129476, TIME: 14442.1s
STEP [40580], EPOCH [25/100], ITER [404/1674] 
LOSS: 0.00153131, TIME: 14444.9s
STEP [40600], EPOCH [25/100], ITER [424/1674] 
LOSS: 0.00240209, TIME: 14447.8s
STEP [40620], EPOCH [25/100], ITER [444/1674] 
LOSS: 0.00150579, TIME: 14450.7s
STEP [40640], EPOCH [25/100], ITER [464/1674] 
LOSS: 0.00102112, TIME: 14453.5s
STEP [40660], EPOCH [25/100], ITER [484/1674] 
LOSS: 0.00089613, TIME: 14456.4s
STEP [40680], EPOCH [25/100], ITER [504/1674] 
LOSS: 0.00112054, TIME: 14459.3s
STEP [40700], EPOCH [25/100], ITER [524/1674] 
LOSS: 0.00297674, TIME: 14462.1s
STEP [40720], EPOCH [25/100], ITER [544/1674] 
LOSS: 0.00168925, TIME: 14465.0s
STEP [40740], EPOCH [25/100], ITER [564/1674] 
LOSS: 0.00163580, TIME: 14467.9s
STEP [40760], EPOCH [25/100], ITER [584/1674] 
LOSS: 0.00191676, TIME: 14470.8s
STEP [40780], EPOCH [25/100], ITER [604/1674] 
LOSS: 0.00139298, TIME: 14473.6s
STEP [40800], EPOCH [25/100], ITER [624/1674] 
LOSS: 0.00168301, TIME: 14476.5s
STEP [40820], EPOCH [25/100], ITER [644/1674] 
LOSS: 0.00138220, TIME: 14479.4s
STEP [40840], EPOCH [25/100], ITER [664/1674] 
LOSS: 0.00213013, TIME: 14482.2s
STEP [40860], EPOCH [25/100], ITER [684/1674] 
LOSS: 0.00165543, TIME: 14485.1s
STEP [40880], EPOCH [25/100], ITER [704/1674] 
LOSS: 0.00244447, TIME: 14488.0s
STEP [40900], EPOCH [25/100], ITER [724/1674] 
LOSS: 0.00296974, TIME: 14490.8s
STEP [40920], EPOCH [25/100], ITER [744/1674] 
LOSS: 0.00103411, TIME: 14493.7s
STEP [40940], EPOCH [25/100], ITER [764/1674] 
LOSS: 0.00179327, TIME: 14496.6s
STEP [40960], EPOCH [25/100], ITER [784/1674] 
LOSS: 0.00148076, TIME: 14499.4s
STEP [40980], EPOCH [25/100], ITER [804/1674] 
LOSS: 0.00157533, TIME: 14502.3s
STEP [41000], EPOCH [25/100], ITER [824/1674] 
LOSS: 0.00186149, TIME: 14505.2s
STEP [41020], EPOCH [25/100], ITER [844/1674] 
LOSS: 0.00174211, TIME: 14508.1s
STEP [41040], EPOCH [25/100], ITER [864/1674] 
LOSS: 0.00118755, TIME: 14511.0s
STEP [41060], EPOCH [25/100], ITER [884/1674] 
LOSS: 0.00182226, TIME: 14513.8s
STEP [41080], EPOCH [25/100], ITER [904/1674] 
LOSS: 0.00190617, TIME: 14516.7s
STEP [41100], EPOCH [25/100], ITER [924/1674] 
LOSS: 0.00143421, TIME: 14519.6s
STEP [41120], EPOCH [25/100], ITER [944/1674] 
LOSS: 0.00301254, TIME: 14522.4s
STEP [41140], EPOCH [25/100], ITER [964/1674] 
LOSS: 0.00155214, TIME: 14525.3s
STEP [41160], EPOCH [25/100], ITER [984/1674] 
LOSS: 0.00260094, TIME: 14528.2s
STEP [41180], EPOCH [25/100], ITER [1004/1674] 
LOSS: 0.00354879, TIME: 14531.1s
STEP [41200], EPOCH [25/100], ITER [1024/1674] 
LOSS: 0.00149487, TIME: 14533.9s
STEP [41220], EPOCH [25/100], ITER [1044/1674] 
LOSS: 0.00172263, TIME: 14536.8s
STEP [41240], EPOCH [25/100], ITER [1064/1674] 
LOSS: 0.00204577, TIME: 14539.7s
STEP [41260], EPOCH [25/100], ITER [1084/1674] 
LOSS: 0.00166204, TIME: 14542.5s
STEP [41280], EPOCH [25/100], ITER [1104/1674] 
LOSS: 0.00197000, TIME: 14545.4s
STEP [41300], EPOCH [25/100], ITER [1124/1674] 
LOSS: 0.00118248, TIME: 14548.3s
STEP [41320], EPOCH [25/100], ITER [1144/1674] 
LOSS: 0.00193859, TIME: 14551.2s
STEP [41340], EPOCH [25/100], ITER [1164/1674] 
LOSS: 0.00094606, TIME: 14554.0s
STEP [41360], EPOCH [25/100], ITER [1184/1674] 
LOSS: 0.00154199, TIME: 14556.9s
STEP [41380], EPOCH [25/100], ITER [1204/1674] 
LOSS: 0.00098503, TIME: 14559.8s
STEP [41400], EPOCH [25/100], ITER [1224/1674] 
LOSS: 0.00135879, TIME: 14562.6s
STEP [41420], EPOCH [25/100], ITER [1244/1674] 
LOSS: 0.00116354, TIME: 14565.5s
STEP [41440], EPOCH [25/100], ITER [1264/1674] 
LOSS: 0.00146625, TIME: 14568.4s
STEP [41460], EPOCH [25/100], ITER [1284/1674] 
LOSS: 0.00118432, TIME: 14571.2s
STEP [41480], EPOCH [25/100], ITER [1304/1674] 
LOSS: 0.00105996, TIME: 14574.1s
STEP [41500], EPOCH [25/100], ITER [1324/1674] 
LOSS: 0.00181552, TIME: 14577.0s
STEP [41520], EPOCH [25/100], ITER [1344/1674] 
LOSS: 0.00154201, TIME: 14579.8s
STEP [41540], EPOCH [25/100], ITER [1364/1674] 
LOSS: 0.00135025, TIME: 14582.7s
STEP [41560], EPOCH [25/100], ITER [1384/1674] 
LOSS: 0.00168373, TIME: 14585.6s
STEP [41580], EPOCH [25/100], ITER [1404/1674] 
LOSS: 0.00195397, TIME: 14588.4s
STEP [41600], EPOCH [25/100], ITER [1424/1674] 
LOSS: 0.00182300, TIME: 14591.3s
STEP [41620], EPOCH [25/100], ITER [1444/1674] 
LOSS: 0.00193158, TIME: 14594.2s
STEP [41640], EPOCH [25/100], ITER [1464/1674] 
LOSS: 0.00356446, TIME: 14597.0s
STEP [41660], EPOCH [25/100], ITER [1484/1674] 
LOSS: 0.00137136, TIME: 14599.9s
STEP [41680], EPOCH [25/100], ITER [1504/1674] 
LOSS: 0.00148981, TIME: 14602.8s
STEP [41700], EPOCH [25/100], ITER [1524/1674] 
LOSS: 0.00241177, TIME: 14605.6s
STEP [41720], EPOCH [25/100], ITER [1544/1674] 
LOSS: 0.00177195, TIME: 14608.5s
STEP [41740], EPOCH [25/100], ITER [1564/1674] 
LOSS: 0.00138913, TIME: 14611.4s
STEP [41760], EPOCH [25/100], ITER [1584/1674] 
LOSS: 0.00194574, TIME: 14614.2s
STEP [41780], EPOCH [25/100], ITER [1604/1674] 
LOSS: 0.00142807, TIME: 14617.1s
STEP [41800], EPOCH [25/100], ITER [1624/1674] 
LOSS: 0.00137659, TIME: 14620.0s
STEP [41820], EPOCH [25/100], ITER [1644/1674] 
LOSS: 0.00136806, TIME: 14622.8s
STEP [41840], EPOCH [25/100], ITER [1664/1674] 
LOSS: 0.00148448, TIME: 14625.7s
STEP [41860], EPOCH [26/100], ITER [10/1674] 
LOSS: 0.00174121, TIME: 14631.1s
STEP [41880], EPOCH [26/100], ITER [30/1674] 
LOSS: 0.00173789, TIME: 14634.0s
STEP [41900], EPOCH [26/100], ITER [50/1674] 
LOSS: 0.00111858, TIME: 14636.8s
STEP [41920], EPOCH [26/100], ITER [70/1674] 
LOSS: 0.00161261, TIME: 14639.7s
STEP [41940], EPOCH [26/100], ITER [90/1674] 
LOSS: 0.00178248, TIME: 14642.6s
STEP [41960], EPOCH [26/100], ITER [110/1674] 
LOSS: 0.00119086, TIME: 14645.4s
STEP [41980], EPOCH [26/100], ITER [130/1674] 
LOSS: 0.00108678, TIME: 14648.3s
STEP [42000], EPOCH [26/100], ITER [150/1674] 
LOSS: 0.00144235, TIME: 14651.2s
STEP [42020], EPOCH [26/100], ITER [170/1674] 
LOSS: 0.00148666, TIME: 14654.1s
STEP [42040], EPOCH [26/100], ITER [190/1674] 
LOSS: 0.00118484, TIME: 14657.0s
STEP [42060], EPOCH [26/100], ITER [210/1674] 
LOSS: 0.00181559, TIME: 14659.8s
STEP [42080], EPOCH [26/100], ITER [230/1674] 
LOSS: 0.00144095, TIME: 14662.7s
STEP [42100], EPOCH [26/100], ITER [250/1674] 
LOSS: 0.00172987, TIME: 14665.6s
STEP [42120], EPOCH [26/100], ITER [270/1674] 
LOSS: 0.00136960, TIME: 14668.4s
STEP [42140], EPOCH [26/100], ITER [290/1674] 
LOSS: 0.00121863, TIME: 14671.3s
STEP [42160], EPOCH [26/100], ITER [310/1674] 
LOSS: 0.00198902, TIME: 14674.2s
STEP [42180], EPOCH [26/100], ITER [330/1674] 
LOSS: 0.00162371, TIME: 14677.0s
STEP [42200], EPOCH [26/100], ITER [350/1674] 
LOSS: 0.00128745, TIME: 14679.9s
STEP [42220], EPOCH [26/100], ITER [370/1674] 
LOSS: 0.00137421, TIME: 14682.8s
STEP [42240], EPOCH [26/100], ITER [390/1674] 
LOSS: 0.00121722, TIME: 14685.6s
STEP [42260], EPOCH [26/100], ITER [410/1674] 
LOSS: 0.00114977, TIME: 14688.5s
STEP [42280], EPOCH [26/100], ITER [430/1674] 
LOSS: 0.00153152, TIME: 14691.4s
STEP [42300], EPOCH [26/100], ITER [450/1674] 
LOSS: 0.00161898, TIME: 14694.2s
STEP [42320], EPOCH [26/100], ITER [470/1674] 
LOSS: 0.00150422, TIME: 14697.1s
STEP [42340], EPOCH [26/100], ITER [490/1674] 
LOSS: 0.00155152, TIME: 14700.0s
STEP [42360], EPOCH [26/100], ITER [510/1674] 
LOSS: 0.00107612, TIME: 14702.8s
STEP [42380], EPOCH [26/100], ITER [530/1674] 
LOSS: 0.00226472, TIME: 14705.7s
STEP [42400], EPOCH [26/100], ITER [550/1674] 
LOSS: 0.00142540, TIME: 14708.6s
STEP [42420], EPOCH [26/100], ITER [570/1674] 
LOSS: 0.00123790, TIME: 14711.5s
STEP [42440], EPOCH [26/100], ITER [590/1674] 
LOSS: 0.00134370, TIME: 14714.3s
STEP [42460], EPOCH [26/100], ITER [610/1674] 
LOSS: 0.00127371, TIME: 14717.2s
STEP [42480], EPOCH [26/100], ITER [630/1674] 
LOSS: 0.00103382, TIME: 14720.1s
STEP [42500], EPOCH [26/100], ITER [650/1674] 
LOSS: 0.00154385, TIME: 14722.9s
STEP [42520], EPOCH [26/100], ITER [670/1674] 
LOSS: 0.00219805, TIME: 14725.8s
STEP [42540], EPOCH [26/100], ITER [690/1674] 
LOSS: 0.00180615, TIME: 14728.7s
STEP [42560], EPOCH [26/100], ITER [710/1674] 
LOSS: 0.00099445, TIME: 14731.5s
STEP [42580], EPOCH [26/100], ITER [730/1674] 
LOSS: 0.00114765, TIME: 14734.4s
STEP [42600], EPOCH [26/100], ITER [750/1674] 
LOSS: 0.00157887, TIME: 14737.3s
STEP [42620], EPOCH [26/100], ITER [770/1674] 
LOSS: 0.00149111, TIME: 14740.2s
STEP [42640], EPOCH [26/100], ITER [790/1674] 
LOSS: 0.00198899, TIME: 14743.0s
STEP [42660], EPOCH [26/100], ITER [810/1674] 
LOSS: 0.00190928, TIME: 14745.9s
STEP [42680], EPOCH [26/100], ITER [830/1674] 
LOSS: 0.00139964, TIME: 14748.7s
STEP [42700], EPOCH [26/100], ITER [850/1674] 
LOSS: 0.00113276, TIME: 14751.6s
STEP [42720], EPOCH [26/100], ITER [870/1674] 
LOSS: 0.00177635, TIME: 14754.5s
STEP [42740], EPOCH [26/100], ITER [890/1674] 
LOSS: 0.00115846, TIME: 14757.4s
STEP [42760], EPOCH [26/100], ITER [910/1674] 
LOSS: 0.00101705, TIME: 14760.2s
STEP [42780], EPOCH [26/100], ITER [930/1674] 
LOSS: 0.00250069, TIME: 14763.1s
STEP [42800], EPOCH [26/100], ITER [950/1674] 
LOSS: 0.00197667, TIME: 14766.0s
STEP [42820], EPOCH [26/100], ITER [970/1674] 
LOSS: 0.00137405, TIME: 14768.8s
STEP [42840], EPOCH [26/100], ITER [990/1674] 
LOSS: 0.00199394, TIME: 14771.7s
STEP [42860], EPOCH [26/100], ITER [1010/1674] 
LOSS: 0.00227124, TIME: 14774.6s
STEP [42880], EPOCH [26/100], ITER [1030/1674] 
LOSS: 0.00129795, TIME: 14777.4s
STEP [42900], EPOCH [26/100], ITER [1050/1674] 
LOSS: 0.00252041, TIME: 14780.3s
STEP [42920], EPOCH [26/100], ITER [1070/1674] 
LOSS: 0.00198226, TIME: 14783.2s
STEP [42940], EPOCH [26/100], ITER [1090/1674] 
LOSS: 0.00112842, TIME: 14786.0s
STEP [42960], EPOCH [26/100], ITER [1110/1674] 
LOSS: 0.00147633, TIME: 14788.9s
STEP [42980], EPOCH [26/100], ITER [1130/1674] 
LOSS: 0.00215595, TIME: 14791.8s
STEP [43000], EPOCH [26/100], ITER [1150/1674] 
LOSS: 0.00133547, TIME: 14794.6s
STEP [43020], EPOCH [26/100], ITER [1170/1674] 
LOSS: 0.00124245, TIME: 14797.6s
STEP [43040], EPOCH [26/100], ITER [1190/1674] 
LOSS: 0.00115306, TIME: 14800.5s
STEP [43060], EPOCH [26/100], ITER [1210/1674] 
LOSS: 0.00202746, TIME: 14803.3s
STEP [43080], EPOCH [26/100], ITER [1230/1674] 
LOSS: 0.00175669, TIME: 14806.2s
STEP [43100], EPOCH [26/100], ITER [1250/1674] 
LOSS: 0.00125445, TIME: 14809.1s
STEP [43120], EPOCH [26/100], ITER [1270/1674] 
LOSS: 0.00130253, TIME: 14811.9s
STEP [43140], EPOCH [26/100], ITER [1290/1674] 
LOSS: 0.00110808, TIME: 14814.8s
STEP [43160], EPOCH [26/100], ITER [1310/1674] 
LOSS: 0.00269950, TIME: 14817.7s
STEP [43180], EPOCH [26/100], ITER [1330/1674] 
LOSS: 0.00226507, TIME: 14820.5s
STEP [43200], EPOCH [26/100], ITER [1350/1674] 
LOSS: 0.00149588, TIME: 14823.4s
STEP [43220], EPOCH [26/100], ITER [1370/1674] 
LOSS: 0.00146388, TIME: 14826.3s
STEP [43240], EPOCH [26/100], ITER [1390/1674] 
LOSS: 0.00338532, TIME: 14829.1s
STEP [43260], EPOCH [26/100], ITER [1410/1674] 
LOSS: 0.00163878, TIME: 14832.0s
STEP [43280], EPOCH [26/100], ITER [1430/1674] 
LOSS: 0.00143389, TIME: 14834.9s
STEP [43300], EPOCH [26/100], ITER [1450/1674] 
LOSS: 0.00114628, TIME: 14837.7s
STEP [43320], EPOCH [26/100], ITER [1470/1674] 
LOSS: 0.00150587, TIME: 14840.6s
STEP [43340], EPOCH [26/100], ITER [1490/1674] 
LOSS: 0.00094912, TIME: 14843.5s
STEP [43360], EPOCH [26/100], ITER [1510/1674] 
LOSS: 0.00098491, TIME: 14846.3s
STEP [43380], EPOCH [26/100], ITER [1530/1674] 
LOSS: 0.00157182, TIME: 14849.2s
STEP [43400], EPOCH [26/100], ITER [1550/1674] 
LOSS: 0.00213775, TIME: 14852.1s
STEP [43420], EPOCH [26/100], ITER [1570/1674] 
LOSS: 0.00128346, TIME: 14854.9s
STEP [43440], EPOCH [26/100], ITER [1590/1674] 
LOSS: 0.00093465, TIME: 14857.8s
STEP [43460], EPOCH [26/100], ITER [1610/1674] 
LOSS: 0.00229935, TIME: 14860.7s
STEP [43480], EPOCH [26/100], ITER [1630/1674] 
LOSS: 0.00172419, TIME: 14863.6s
STEP [43500], EPOCH [26/100], ITER [1650/1674] 
LOSS: 0.00158442, TIME: 14866.4s
STEP [43520], EPOCH [26/100], ITER [1670/1674] 
LOSS: 0.00253565, TIME: 14869.3s
STEP [43540], EPOCH [27/100], ITER [16/1674] 
LOSS: 0.00209237, TIME: 14874.5s
STEP [43560], EPOCH [27/100], ITER [36/1674] 
LOSS: 0.00179573, TIME: 14877.3s
STEP [43580], EPOCH [27/100], ITER [56/1674] 
LOSS: 0.00174144, TIME: 14880.2s
STEP [43600], EPOCH [27/100], ITER [76/1674] 
LOSS: 0.00208043, TIME: 14883.1s
STEP [43620], EPOCH [27/100], ITER [96/1674] 
LOSS: 0.00177602, TIME: 14885.9s
STEP [43640], EPOCH [27/100], ITER [116/1674] 
LOSS: 0.00204521, TIME: 14888.8s
STEP [43660], EPOCH [27/100], ITER [136/1674] 
LOSS: 0.00201853, TIME: 14891.7s
STEP [43680], EPOCH [27/100], ITER [156/1674] 
LOSS: 0.00136028, TIME: 14894.5s
STEP [43700], EPOCH [27/100], ITER [176/1674] 
LOSS: 0.00109360, TIME: 14897.4s
STEP [43720], EPOCH [27/100], ITER [196/1674] 
LOSS: 0.00123689, TIME: 14900.3s
STEP [43740], EPOCH [27/100], ITER [216/1674] 
LOSS: 0.00095280, TIME: 14903.2s
STEP [43760], EPOCH [27/100], ITER [236/1674] 
LOSS: 0.00160230, TIME: 14906.0s
STEP [43780], EPOCH [27/100], ITER [256/1674] 
LOSS: 0.00190865, TIME: 14908.9s
STEP [43800], EPOCH [27/100], ITER [276/1674] 
LOSS: 0.00166444, TIME: 14911.7s
STEP [43820], EPOCH [27/100], ITER [296/1674] 
LOSS: 0.00133748, TIME: 14914.6s
STEP [43840], EPOCH [27/100], ITER [316/1674] 
LOSS: 0.00089753, TIME: 14917.5s
STEP [43860], EPOCH [27/100], ITER [336/1674] 
LOSS: 0.00108162, TIME: 14920.3s
STEP [43880], EPOCH [27/100], ITER [356/1674] 
LOSS: 0.00159902, TIME: 14923.2s
STEP [43900], EPOCH [27/100], ITER [376/1674] 
LOSS: 0.00173459, TIME: 14926.1s
STEP [43920], EPOCH [27/100], ITER [396/1674] 
LOSS: 0.00128998, TIME: 14928.9s
STEP [43940], EPOCH [27/100], ITER [416/1674] 
LOSS: 0.00147458, TIME: 14931.8s
STEP [43960], EPOCH [27/100], ITER [436/1674] 
LOSS: 0.00125937, TIME: 14934.7s
STEP [43980], EPOCH [27/100], ITER [456/1674] 
LOSS: 0.00132173, TIME: 14937.6s
STEP [44000], EPOCH [27/100], ITER [476/1674] 
LOSS: 0.00259598, TIME: 14940.4s
STEP [44020], EPOCH [27/100], ITER [496/1674] 
LOSS: 0.00133088, TIME: 14943.4s
STEP [44040], EPOCH [27/100], ITER [516/1674] 
LOSS: 0.00120780, TIME: 14946.2s
STEP [44060], EPOCH [27/100], ITER [536/1674] 
LOSS: 0.00153088, TIME: 14949.1s
STEP [44080], EPOCH [27/100], ITER [556/1674] 
LOSS: 0.00160334, TIME: 14952.0s
STEP [44100], EPOCH [27/100], ITER [576/1674] 
LOSS: 0.00144519, TIME: 14954.9s
STEP [44120], EPOCH [27/100], ITER [596/1674] 
LOSS: 0.00173027, TIME: 14957.7s
STEP [44140], EPOCH [27/100], ITER [616/1674] 
LOSS: 0.00270720, TIME: 14960.6s
STEP [44160], EPOCH [27/100], ITER [636/1674] 
LOSS: 0.00131175, TIME: 14963.5s
STEP [44180], EPOCH [27/100], ITER [656/1674] 
LOSS: 0.00177146, TIME: 14966.3s
STEP [44200], EPOCH [27/100], ITER [676/1674] 
LOSS: 0.00243925, TIME: 14969.2s
STEP [44220], EPOCH [27/100], ITER [696/1674] 
LOSS: 0.00117814, TIME: 14972.1s
STEP [44240], EPOCH [27/100], ITER [716/1674] 
LOSS: 0.00188070, TIME: 14974.9s
STEP [44260], EPOCH [27/100], ITER [736/1674] 
LOSS: 0.00175218, TIME: 14977.8s
STEP [44280], EPOCH [27/100], ITER [756/1674] 
LOSS: 0.00185396, TIME: 14980.7s
STEP [44300], EPOCH [27/100], ITER [776/1674] 
LOSS: 0.00110955, TIME: 14983.5s
STEP [44320], EPOCH [27/100], ITER [796/1674] 
LOSS: 0.00131319, TIME: 14986.4s
STEP [44340], EPOCH [27/100], ITER [816/1674] 
LOSS: 0.00157354, TIME: 14989.3s
STEP [44360], EPOCH [27/100], ITER [836/1674] 
LOSS: 0.00129632, TIME: 14992.1s
STEP [44380], EPOCH [27/100], ITER [856/1674] 
LOSS: 0.00161431, TIME: 14995.0s
STEP [44400], EPOCH [27/100], ITER [876/1674] 
LOSS: 0.00197224, TIME: 14997.9s
STEP [44420], EPOCH [27/100], ITER [896/1674] 
LOSS: 0.00084955, TIME: 15000.7s
STEP [44440], EPOCH [27/100], ITER [916/1674] 
LOSS: 0.00143636, TIME: 15003.6s
STEP [44460], EPOCH [27/100], ITER [936/1674] 
LOSS: 0.00164399, TIME: 15006.5s
STEP [44480], EPOCH [27/100], ITER [956/1674] 
LOSS: 0.00171352, TIME: 15009.3s
STEP [44500], EPOCH [27/100], ITER [976/1674] 
LOSS: 0.00128481, TIME: 15012.2s
STEP [44520], EPOCH [27/100], ITER [996/1674] 
LOSS: 0.00201005, TIME: 15015.1s
STEP [44540], EPOCH [27/100], ITER [1016/1674] 
LOSS: 0.00098447, TIME: 15018.0s
STEP [44560], EPOCH [27/100], ITER [1036/1674] 
LOSS: 0.00128462, TIME: 15020.8s
STEP [44580], EPOCH [27/100], ITER [1056/1674] 
LOSS: 0.00198196, TIME: 15023.7s
STEP [44600], EPOCH [27/100], ITER [1076/1674] 
LOSS: 0.00145217, TIME: 15026.6s
STEP [44620], EPOCH [27/100], ITER [1096/1674] 
LOSS: 0.00157754, TIME: 15029.4s
STEP [44640], EPOCH [27/100], ITER [1116/1674] 
LOSS: 0.00111039, TIME: 15032.3s
STEP [44660], EPOCH [27/100], ITER [1136/1674] 
LOSS: 0.00081379, TIME: 15035.2s
STEP [44680], EPOCH [27/100], ITER [1156/1674] 
LOSS: 0.00213725, TIME: 15038.0s
STEP [44700], EPOCH [27/100], ITER [1176/1674] 
LOSS: 0.00105189, TIME: 15040.9s
STEP [44720], EPOCH [27/100], ITER [1196/1674] 
LOSS: 0.00117713, TIME: 15043.8s
STEP [44740], EPOCH [27/100], ITER [1216/1674] 
LOSS: 0.00160387, TIME: 15046.6s
STEP [44760], EPOCH [27/100], ITER [1236/1674] 
LOSS: 0.00126267, TIME: 15049.5s
STEP [44780], EPOCH [27/100], ITER [1256/1674] 
LOSS: 0.00122062, TIME: 15052.4s
STEP [44800], EPOCH [27/100], ITER [1276/1674] 
LOSS: 0.00190180, TIME: 15055.3s
STEP [44820], EPOCH [27/100], ITER [1296/1674] 
LOSS: 0.00128001, TIME: 15058.1s
STEP [44840], EPOCH [27/100], ITER [1316/1674] 
LOSS: 0.00166724, TIME: 15061.0s
STEP [44860], EPOCH [27/100], ITER [1336/1674] 
LOSS: 0.00159903, TIME: 15063.9s
STEP [44880], EPOCH [27/100], ITER [1356/1674] 
LOSS: 0.00221807, TIME: 15066.7s
STEP [44900], EPOCH [27/100], ITER [1376/1674] 
LOSS: 0.00205048, TIME: 15069.6s
STEP [44920], EPOCH [27/100], ITER [1396/1674] 
LOSS: 0.00143848, TIME: 15072.5s
STEP [44940], EPOCH [27/100], ITER [1416/1674] 
LOSS: 0.00155729, TIME: 15075.3s
STEP [44960], EPOCH [27/100], ITER [1436/1674] 
LOSS: 0.00157973, TIME: 15078.2s
STEP [44980], EPOCH [27/100], ITER [1456/1674] 
LOSS: 0.00144297, TIME: 15081.1s
STEP [45000], EPOCH [27/100], ITER [1476/1674] 
LOSS: 0.00134706, TIME: 15083.9s
STEP [45020], EPOCH [27/100], ITER [1496/1674] 
LOSS: 0.00133870, TIME: 15086.9s
STEP [45040], EPOCH [27/100], ITER [1516/1674] 
LOSS: 0.00154148, TIME: 15089.8s
STEP [45060], EPOCH [27/100], ITER [1536/1674] 
LOSS: 0.00108848, TIME: 15092.6s
STEP [45080], EPOCH [27/100], ITER [1556/1674] 
LOSS: 0.00154712, TIME: 15095.5s
STEP [45100], EPOCH [27/100], ITER [1576/1674] 
LOSS: 0.00225154, TIME: 15098.4s
STEP [45120], EPOCH [27/100], ITER [1596/1674] 
LOSS: 0.00124086, TIME: 15101.2s
STEP [45140], EPOCH [27/100], ITER [1616/1674] 
LOSS: 0.00136963, TIME: 15104.1s
STEP [45160], EPOCH [27/100], ITER [1636/1674] 
LOSS: 0.00130127, TIME: 15107.0s
STEP [45180], EPOCH [27/100], ITER [1656/1674] 
LOSS: 0.00189437, TIME: 15109.8s
STEP [45200], EPOCH [28/100], ITER [2/1674] 
LOSS: 0.00106188, TIME: 15115.4s
STEP [45220], EPOCH [28/100], ITER [22/1674] 
LOSS: 0.00093084, TIME: 15118.3s
STEP [45240], EPOCH [28/100], ITER [42/1674] 
LOSS: 0.00125614, TIME: 15121.2s
STEP [45260], EPOCH [28/100], ITER [62/1674] 
LOSS: 0.00171620, TIME: 15124.0s
STEP [45280], EPOCH [28/100], ITER [82/1674] 
LOSS: 0.00140156, TIME: 15126.9s
STEP [45300], EPOCH [28/100], ITER [102/1674] 
LOSS: 0.00119032, TIME: 15129.8s
STEP [45320], EPOCH [28/100], ITER [122/1674] 
LOSS: 0.00098799, TIME: 15132.6s
STEP [45340], EPOCH [28/100], ITER [142/1674] 
LOSS: 0.00156811, TIME: 15135.5s
STEP [45360], EPOCH [28/100], ITER [162/1674] 
LOSS: 0.00168679, TIME: 15138.4s
STEP [45380], EPOCH [28/100], ITER [182/1674] 
LOSS: 0.00116372, TIME: 15141.2s
STEP [45400], EPOCH [28/100], ITER [202/1674] 
LOSS: 0.00157465, TIME: 15144.1s
STEP [45420], EPOCH [28/100], ITER [222/1674] 
LOSS: 0.00143568, TIME: 15147.0s
STEP [45440], EPOCH [28/100], ITER [242/1674] 
LOSS: 0.00154297, TIME: 15149.9s
STEP [45460], EPOCH [28/100], ITER [262/1674] 
LOSS: 0.00186542, TIME: 15152.7s
STEP [45480], EPOCH [28/100], ITER [282/1674] 
LOSS: 0.00172818, TIME: 15155.6s
STEP [45500], EPOCH [28/100], ITER [302/1674] 
LOSS: 0.00119939, TIME: 15158.5s
STEP [45520], EPOCH [28/100], ITER [322/1674] 
LOSS: 0.00161915, TIME: 15161.3s
STEP [45540], EPOCH [28/100], ITER [342/1674] 
LOSS: 0.00273618, TIME: 15164.2s
STEP [45560], EPOCH [28/100], ITER [362/1674] 
LOSS: 0.00175542, TIME: 15167.1s
STEP [45580], EPOCH [28/100], ITER [382/1674] 
LOSS: 0.00115779, TIME: 15169.9s
STEP [45600], EPOCH [28/100], ITER [402/1674] 
LOSS: 0.00166265, TIME: 15172.8s
STEP [45620], EPOCH [28/100], ITER [422/1674] 
LOSS: 0.00146458, TIME: 15175.7s
STEP [45640], EPOCH [28/100], ITER [442/1674] 
LOSS: 0.00169338, TIME: 15178.5s
STEP [45660], EPOCH [28/100], ITER [462/1674] 
LOSS: 0.00153591, TIME: 15181.4s
STEP [45680], EPOCH [28/100], ITER [482/1674] 
LOSS: 0.00202003, TIME: 15184.3s
STEP [45700], EPOCH [28/100], ITER [502/1674] 
LOSS: 0.00096699, TIME: 15187.1s
STEP [45720], EPOCH [28/100], ITER [522/1674] 
LOSS: 0.00160275, TIME: 15190.0s
STEP [45740], EPOCH [28/100], ITER [542/1674] 
LOSS: 0.00138216, TIME: 15192.9s
STEP [45760], EPOCH [28/100], ITER [562/1674] 
LOSS: 0.00147346, TIME: 15195.7s
STEP [45780], EPOCH [28/100], ITER [582/1674] 
LOSS: 0.00116518, TIME: 15198.6s
STEP [45800], EPOCH [28/100], ITER [602/1674] 
LOSS: 0.00108522, TIME: 15201.5s
STEP [45820], EPOCH [28/100], ITER [622/1674] 
LOSS: 0.00133165, TIME: 15204.3s
STEP [45840], EPOCH [28/100], ITER [642/1674] 
LOSS: 0.00176664, TIME: 15207.2s
STEP [45860], EPOCH [28/100], ITER [662/1674] 
LOSS: 0.00142607, TIME: 15210.1s
STEP [45880], EPOCH [28/100], ITER [682/1674] 
LOSS: 0.00246387, TIME: 15213.0s
STEP [45900], EPOCH [28/100], ITER [702/1674] 
LOSS: 0.00135307, TIME: 15215.8s
STEP [45920], EPOCH [28/100], ITER [722/1674] 
LOSS: 0.00120813, TIME: 15218.7s
STEP [45940], EPOCH [28/100], ITER [742/1674] 
LOSS: 0.00181172, TIME: 15221.6s
STEP [45960], EPOCH [28/100], ITER [762/1674] 
LOSS: 0.00109698, TIME: 15224.4s
STEP [45980], EPOCH [28/100], ITER [782/1674] 
LOSS: 0.00108790, TIME: 15227.3s
STEP [46000], EPOCH [28/100], ITER [802/1674] 
LOSS: 0.00197647, TIME: 15230.2s
STEP [46020], EPOCH [28/100], ITER [822/1674] 
LOSS: 0.00110493, TIME: 15233.1s
STEP [46040], EPOCH [28/100], ITER [842/1674] 
LOSS: 0.00168485, TIME: 15236.0s
STEP [46060], EPOCH [28/100], ITER [862/1674] 
LOSS: 0.00173136, TIME: 15238.9s
STEP [46080], EPOCH [28/100], ITER [882/1674] 
LOSS: 0.00154556, TIME: 15241.7s
STEP [46100], EPOCH [28/100], ITER [902/1674] 
LOSS: 0.00148952, TIME: 15244.6s
STEP [46120], EPOCH [28/100], ITER [922/1674] 
LOSS: 0.00179991, TIME: 15247.5s
STEP [46140], EPOCH [28/100], ITER [942/1674] 
LOSS: 0.00127216, TIME: 15250.3s
STEP [46160], EPOCH [28/100], ITER [962/1674] 
LOSS: 0.00089706, TIME: 15253.2s
STEP [46180], EPOCH [28/100], ITER [982/1674] 
LOSS: 0.00202656, TIME: 15256.1s
STEP [46200], EPOCH [28/100], ITER [1002/1674] 
LOSS: 0.00157978, TIME: 15258.9s
STEP [46220], EPOCH [28/100], ITER [1022/1674] 
LOSS: 0.00110485, TIME: 15261.8s
STEP [46240], EPOCH [28/100], ITER [1042/1674] 
LOSS: 0.00115987, TIME: 15264.7s
STEP [46260], EPOCH [28/100], ITER [1062/1674] 
LOSS: 0.00150174, TIME: 15267.5s
STEP [46280], EPOCH [28/100], ITER [1082/1674] 
LOSS: 0.00181071, TIME: 15270.4s
STEP [46300], EPOCH [28/100], ITER [1102/1674] 
LOSS: 0.00094574, TIME: 15273.3s
STEP [46320], EPOCH [28/100], ITER [1122/1674] 
LOSS: 0.00137861, TIME: 15276.2s
STEP [46340], EPOCH [28/100], ITER [1142/1674] 
LOSS: 0.00272275, TIME: 15279.0s
STEP [46360], EPOCH [28/100], ITER [1162/1674] 
LOSS: 0.00115555, TIME: 15281.9s
STEP [46380], EPOCH [28/100], ITER [1182/1674] 
LOSS: 0.00123150, TIME: 15284.8s
STEP [46400], EPOCH [28/100], ITER [1202/1674] 
LOSS: 0.00146832, TIME: 15287.6s
STEP [46420], EPOCH [28/100], ITER [1222/1674] 
LOSS: 0.00148743, TIME: 15290.5s
STEP [46440], EPOCH [28/100], ITER [1242/1674] 
LOSS: 0.00162648, TIME: 15293.4s
STEP [46460], EPOCH [28/100], ITER [1262/1674] 
LOSS: 0.00183085, TIME: 15296.2s
STEP [46480], EPOCH [28/100], ITER [1282/1674] 
LOSS: 0.00133941, TIME: 15299.1s
STEP [46500], EPOCH [28/100], ITER [1302/1674] 
LOSS: 0.00122334, TIME: 15302.0s
STEP [46520], EPOCH [28/100], ITER [1322/1674] 
LOSS: 0.00143918, TIME: 15304.8s
STEP [46540], EPOCH [28/100], ITER [1342/1674] 
LOSS: 0.00124347, TIME: 15307.7s
STEP [46560], EPOCH [28/100], ITER [1362/1674] 
LOSS: 0.00127876, TIME: 15310.6s
STEP [46580], EPOCH [28/100], ITER [1382/1674] 
LOSS: 0.00117417, TIME: 15313.4s
STEP [46600], EPOCH [28/100], ITER [1402/1674] 
LOSS: 0.00187581, TIME: 15316.3s
STEP [46620], EPOCH [28/100], ITER [1422/1674] 
LOSS: 0.00104420, TIME: 15319.2s
STEP [46640], EPOCH [28/100], ITER [1442/1674] 
LOSS: 0.00247272, TIME: 15322.0s
STEP [46660], EPOCH [28/100], ITER [1462/1674] 
LOSS: 0.00160167, TIME: 15324.9s
STEP [46680], EPOCH [28/100], ITER [1482/1674] 
LOSS: 0.00265728, TIME: 15327.8s
STEP [46700], EPOCH [28/100], ITER [1502/1674] 
LOSS: 0.00159081, TIME: 15330.6s
STEP [46720], EPOCH [28/100], ITER [1522/1674] 
LOSS: 0.00156907, TIME: 15333.5s
STEP [46740], EPOCH [28/100], ITER [1542/1674] 
LOSS: 0.00117773, TIME: 15336.4s
STEP [46760], EPOCH [28/100], ITER [1562/1674] 
LOSS: 0.00120483, TIME: 15339.2s
STEP [46780], EPOCH [28/100], ITER [1582/1674] 
LOSS: 0.00156398, TIME: 15342.1s
STEP [46800], EPOCH [28/100], ITER [1602/1674] 
LOSS: 0.00202038, TIME: 15345.0s
STEP [46820], EPOCH [28/100], ITER [1622/1674] 
LOSS: 0.00143852, TIME: 15347.9s
STEP [46840], EPOCH [28/100], ITER [1642/1674] 
LOSS: 0.00087481, TIME: 15350.7s
STEP [46860], EPOCH [28/100], ITER [1662/1674] 
LOSS: 0.00131722, TIME: 15353.6s
STEP [46880], EPOCH [29/100], ITER [8/1674] 
LOSS: 0.00134270, TIME: 15359.5s
STEP [46900], EPOCH [29/100], ITER [28/1674] 
LOSS: 0.00079157, TIME: 15362.4s
STEP [46920], EPOCH [29/100], ITER [48/1674] 
LOSS: 0.00104522, TIME: 15365.2s
STEP [46940], EPOCH [29/100], ITER [68/1674] 
LOSS: 0.00147531, TIME: 15368.1s
STEP [46960], EPOCH [29/100], ITER [88/1674] 
LOSS: 0.00151161, TIME: 15371.0s
STEP [46980], EPOCH [29/100], ITER [108/1674] 
LOSS: 0.00133147, TIME: 15373.8s
STEP [47000], EPOCH [29/100], ITER [128/1674] 
LOSS: 0.00151650, TIME: 15376.7s
STEP [47020], EPOCH [29/100], ITER [148/1674] 
LOSS: 0.00103243, TIME: 15379.6s
STEP [47040], EPOCH [29/100], ITER [168/1674] 
LOSS: 0.00118973, TIME: 15382.5s
STEP [47060], EPOCH [29/100], ITER [188/1674] 
LOSS: 0.00154323, TIME: 15385.4s
STEP [47080], EPOCH [29/100], ITER [208/1674] 
LOSS: 0.00139865, TIME: 15388.2s
STEP [47100], EPOCH [29/100], ITER [228/1674] 
LOSS: 0.00133996, TIME: 15391.1s
STEP [47120], EPOCH [29/100], ITER [248/1674] 
LOSS: 0.00143923, TIME: 15394.0s
STEP [47140], EPOCH [29/100], ITER [268/1674] 
LOSS: 0.00244374, TIME: 15396.8s
STEP [47160], EPOCH [29/100], ITER [288/1674] 
LOSS: 0.00155127, TIME: 15399.7s
STEP [47180], EPOCH [29/100], ITER [308/1674] 
LOSS: 0.00151729, TIME: 15402.6s
STEP [47200], EPOCH [29/100], ITER [328/1674] 
LOSS: 0.00153407, TIME: 15405.4s
STEP [47220], EPOCH [29/100], ITER [348/1674] 
LOSS: 0.00111148, TIME: 15408.3s
STEP [47240], EPOCH [29/100], ITER [368/1674] 
LOSS: 0.00131146, TIME: 15411.2s
STEP [47260], EPOCH [29/100], ITER [388/1674] 
LOSS: 0.00089860, TIME: 15414.1s
STEP [47280], EPOCH [29/100], ITER [408/1674] 
LOSS: 0.00260865, TIME: 15416.9s
STEP [47300], EPOCH [29/100], ITER [428/1674] 
LOSS: 0.00140963, TIME: 15419.8s
STEP [47320], EPOCH [29/100], ITER [448/1674] 
LOSS: 0.00201546, TIME: 15422.7s
STEP [47340], EPOCH [29/100], ITER [468/1674] 
LOSS: 0.00139871, TIME: 15425.5s
STEP [47360], EPOCH [29/100], ITER [488/1674] 
LOSS: 0.00171479, TIME: 15428.4s
STEP [47380], EPOCH [29/100], ITER [508/1674] 
LOSS: 0.00246618, TIME: 15431.3s
STEP [47400], EPOCH [29/100], ITER [528/1674] 
LOSS: 0.00078935, TIME: 15434.1s
STEP [47420], EPOCH [29/100], ITER [548/1674] 
LOSS: 0.00170553, TIME: 15437.0s
STEP [47440], EPOCH [29/100], ITER [568/1674] 
LOSS: 0.00171718, TIME: 15439.9s
STEP [47460], EPOCH [29/100], ITER [588/1674] 
LOSS: 0.00178565, TIME: 15442.7s
STEP [47480], EPOCH [29/100], ITER [608/1674] 
LOSS: 0.00140378, TIME: 15445.6s
STEP [47500], EPOCH [29/100], ITER [628/1674] 
LOSS: 0.00183089, TIME: 15448.5s
STEP [47520], EPOCH [29/100], ITER [648/1674] 
LOSS: 0.00396458, TIME: 15451.3s
STEP [47540], EPOCH [29/100], ITER [668/1674] 
LOSS: 0.00165883, TIME: 15454.2s
STEP [47560], EPOCH [29/100], ITER [688/1674] 
LOSS: 0.00132814, TIME: 15457.1s
STEP [47580], EPOCH [29/100], ITER [708/1674] 
LOSS: 0.00093658, TIME: 15459.9s
STEP [47600], EPOCH [29/100], ITER [728/1674] 
LOSS: 0.00126520, TIME: 15462.8s
STEP [47620], EPOCH [29/100], ITER [748/1674] 
LOSS: 0.00108781, TIME: 15465.7s
STEP [47640], EPOCH [29/100], ITER [768/1674] 
LOSS: 0.00104440, TIME: 15468.5s
STEP [47660], EPOCH [29/100], ITER [788/1674] 
LOSS: 0.00108783, TIME: 15471.4s
STEP [47680], EPOCH [29/100], ITER [808/1674] 
LOSS: 0.00103708, TIME: 15474.3s
STEP [47700], EPOCH [29/100], ITER [828/1674] 
LOSS: 0.00122774, TIME: 15477.1s
STEP [47720], EPOCH [29/100], ITER [848/1674] 
LOSS: 0.00123503, TIME: 15480.0s
STEP [47740], EPOCH [29/100], ITER [868/1674] 
LOSS: 0.00098161, TIME: 15482.9s
STEP [47760], EPOCH [29/100], ITER [888/1674] 
LOSS: 0.00210898, TIME: 15485.7s
STEP [47780], EPOCH [29/100], ITER [908/1674] 
LOSS: 0.00161927, TIME: 15488.6s
STEP [47800], EPOCH [29/100], ITER [928/1674] 
LOSS: 0.00270837, TIME: 15491.5s
STEP [47820], EPOCH [29/100], ITER [948/1674] 
LOSS: 0.00162165, TIME: 15494.3s
STEP [47840], EPOCH [29/100], ITER [968/1674] 
LOSS: 0.00139703, TIME: 15497.2s
STEP [47860], EPOCH [29/100], ITER [988/1674] 
LOSS: 0.00151119, TIME: 15500.1s
STEP [47880], EPOCH [29/100], ITER [1008/1674] 
LOSS: 0.00158578, TIME: 15502.9s
STEP [47900], EPOCH [29/100], ITER [1028/1674] 
LOSS: 0.00146114, TIME: 15505.8s
STEP [47920], EPOCH [29/100], ITER [1048/1674] 
LOSS: 0.00147960, TIME: 15508.7s
STEP [47940], EPOCH [29/100], ITER [1068/1674] 
LOSS: 0.00155958, TIME: 15511.5s
STEP [47960], EPOCH [29/100], ITER [1088/1674] 
LOSS: 0.00187848, TIME: 15514.4s
STEP [47980], EPOCH [29/100], ITER [1108/1674] 
LOSS: 0.00181282, TIME: 15517.3s
STEP [48000], EPOCH [29/100], ITER [1128/1674] 
LOSS: 0.00207970, TIME: 15520.2s
STEP [48020], EPOCH [29/100], ITER [1148/1674] 
LOSS: 0.00155363, TIME: 15523.1s
STEP [48040], EPOCH [29/100], ITER [1168/1674] 
LOSS: 0.00147051, TIME: 15526.0s
STEP [48060], EPOCH [29/100], ITER [1188/1674] 
LOSS: 0.00129332, TIME: 15528.8s
STEP [48080], EPOCH [29/100], ITER [1208/1674] 
LOSS: 0.00106481, TIME: 15531.7s
STEP [48100], EPOCH [29/100], ITER [1228/1674] 
LOSS: 0.00114416, TIME: 15534.6s
STEP [48120], EPOCH [29/100], ITER [1248/1674] 
LOSS: 0.00183076, TIME: 15537.4s
STEP [48140], EPOCH [29/100], ITER [1268/1674] 
LOSS: 0.00225017, TIME: 15540.3s
STEP [48160], EPOCH [29/100], ITER [1288/1674] 
LOSS: 0.00246755, TIME: 15543.2s
STEP [48180], EPOCH [29/100], ITER [1308/1674] 
LOSS: 0.00151020, TIME: 15546.0s
STEP [48200], EPOCH [29/100], ITER [1328/1674] 
LOSS: 0.00196309, TIME: 15548.9s
STEP [48220], EPOCH [29/100], ITER [1348/1674] 
LOSS: 0.00148547, TIME: 15551.8s
STEP [48240], EPOCH [29/100], ITER [1368/1674] 
LOSS: 0.00246709, TIME: 15554.6s
STEP [48260], EPOCH [29/100], ITER [1388/1674] 
LOSS: 0.00147985, TIME: 15557.5s
STEP [48280], EPOCH [29/100], ITER [1408/1674] 
LOSS: 0.00132988, TIME: 15560.4s
STEP [48300], EPOCH [29/100], ITER [1428/1674] 
LOSS: 0.00127167, TIME: 15563.2s
STEP [48320], EPOCH [29/100], ITER [1448/1674] 
LOSS: 0.00130236, TIME: 15566.1s
STEP [48340], EPOCH [29/100], ITER [1468/1674] 
LOSS: 0.00183128, TIME: 15569.0s
STEP [48360], EPOCH [29/100], ITER [1488/1674] 
LOSS: 0.00187109, TIME: 15571.9s
STEP [48380], EPOCH [29/100], ITER [1508/1674] 
LOSS: 0.00115746, TIME: 15574.7s
STEP [48400], EPOCH [29/100], ITER [1528/1674] 
LOSS: 0.00147830, TIME: 15577.6s
STEP [48420], EPOCH [29/100], ITER [1548/1674] 
LOSS: 0.00138958, TIME: 15580.5s
STEP [48440], EPOCH [29/100], ITER [1568/1674] 
LOSS: 0.00124666, TIME: 15583.3s
STEP [48460], EPOCH [29/100], ITER [1588/1674] 
LOSS: 0.00130853, TIME: 15586.2s
STEP [48480], EPOCH [29/100], ITER [1608/1674] 
LOSS: 0.00185704, TIME: 15589.1s
STEP [48500], EPOCH [29/100], ITER [1628/1674] 
LOSS: 0.00075497, TIME: 15591.9s
STEP [48520], EPOCH [29/100], ITER [1648/1674] 
LOSS: 0.00160332, TIME: 15594.8s
STEP [48540], EPOCH [29/100], ITER [1668/1674] 
LOSS: 0.00138268, TIME: 15597.7s
STEP [48560], EPOCH [30/100], ITER [14/1674] 
LOSS: 0.00202583, TIME: 15603.9s
STEP [48580], EPOCH [30/100], ITER [34/1674] 
LOSS: 0.00163825, TIME: 15606.8s
STEP [48600], EPOCH [30/100], ITER [54/1674] 
LOSS: 0.00127953, TIME: 15609.6s
STEP [48620], EPOCH [30/100], ITER [74/1674] 
LOSS: 0.00154261, TIME: 15612.5s
STEP [48640], EPOCH [30/100], ITER [94/1674] 
LOSS: 0.00129865, TIME: 15615.4s
STEP [48660], EPOCH [30/100], ITER [114/1674] 
LOSS: 0.00208052, TIME: 15618.2s
STEP [48680], EPOCH [30/100], ITER [134/1674] 
LOSS: 0.00149854, TIME: 15621.1s
STEP [48700], EPOCH [30/100], ITER [154/1674] 
LOSS: 0.00175530, TIME: 15624.0s
STEP [48720], EPOCH [30/100], ITER [174/1674] 
LOSS: 0.00144189, TIME: 15626.9s
STEP [48740], EPOCH [30/100], ITER [194/1674] 
LOSS: 0.00181761, TIME: 15629.7s
STEP [48760], EPOCH [30/100], ITER [214/1674] 
LOSS: 0.00121747, TIME: 15632.6s
STEP [48780], EPOCH [30/100], ITER [234/1674] 
LOSS: 0.00204190, TIME: 15635.5s
STEP [48800], EPOCH [30/100], ITER [254/1674] 
LOSS: 0.00196414, TIME: 15638.3s
STEP [48820], EPOCH [30/100], ITER [274/1674] 
LOSS: 0.00131180, TIME: 15641.2s
STEP [48840], EPOCH [30/100], ITER [294/1674] 
LOSS: 0.00178136, TIME: 15644.1s
STEP [48860], EPOCH [30/100], ITER [314/1674] 
LOSS: 0.00184936, TIME: 15646.9s
STEP [48880], EPOCH [30/100], ITER [334/1674] 
LOSS: 0.00197740, TIME: 15649.8s
STEP [48900], EPOCH [30/100], ITER [354/1674] 
LOSS: 0.00163384, TIME: 15652.7s
STEP [48920], EPOCH [30/100], ITER [374/1674] 
LOSS: 0.00129378, TIME: 15655.6s
STEP [48940], EPOCH [30/100], ITER [394/1674] 
LOSS: 0.00140501, TIME: 15658.4s
STEP [48960], EPOCH [30/100], ITER [414/1674] 
LOSS: 0.00174547, TIME: 15661.3s
STEP [48980], EPOCH [30/100], ITER [434/1674] 
LOSS: 0.00101591, TIME: 15664.2s
STEP [49000], EPOCH [30/100], ITER [454/1674] 
LOSS: 0.00103676, TIME: 15667.0s
STEP [49020], EPOCH [30/100], ITER [474/1674] 
LOSS: 0.00123104, TIME: 15670.0s
STEP [49040], EPOCH [30/100], ITER [494/1674] 
LOSS: 0.00109069, TIME: 15672.9s
STEP [49060], EPOCH [30/100], ITER [514/1674] 
LOSS: 0.00199482, TIME: 15675.7s
STEP [49080], EPOCH [30/100], ITER [534/1674] 
LOSS: 0.00193333, TIME: 15678.6s
STEP [49100], EPOCH [30/100], ITER [554/1674] 
LOSS: 0.00157746, TIME: 15681.5s
STEP [49120], EPOCH [30/100], ITER [574/1674] 
LOSS: 0.00143113, TIME: 15684.3s
STEP [49140], EPOCH [30/100], ITER [594/1674] 
LOSS: 0.00170186, TIME: 15687.2s
STEP [49160], EPOCH [30/100], ITER [614/1674] 
LOSS: 0.00126848, TIME: 15690.1s
STEP [49180], EPOCH [30/100], ITER [634/1674] 
LOSS: 0.00140411, TIME: 15693.0s
STEP [49200], EPOCH [30/100], ITER [654/1674] 
LOSS: 0.00141380, TIME: 15695.8s
STEP [49220], EPOCH [30/100], ITER [674/1674] 
LOSS: 0.00218896, TIME: 15698.7s
STEP [49240], EPOCH [30/100], ITER [694/1674] 
LOSS: 0.00164004, TIME: 15701.6s
STEP [49260], EPOCH [30/100], ITER [714/1674] 
LOSS: 0.00133471, TIME: 15704.4s
STEP [49280], EPOCH [30/100], ITER [734/1674] 
LOSS: 0.00103597, TIME: 15707.3s
STEP [49300], EPOCH [30/100], ITER [754/1674] 
LOSS: 0.00128044, TIME: 15710.1s
STEP [49320], EPOCH [30/100], ITER [774/1674] 
LOSS: 0.00118920, TIME: 15713.0s
STEP [49340], EPOCH [30/100], ITER [794/1674] 
LOSS: 0.00184599, TIME: 15715.9s
STEP [49360], EPOCH [30/100], ITER [814/1674] 
LOSS: 0.00108535, TIME: 15718.8s
STEP [49380], EPOCH [30/100], ITER [834/1674] 
LOSS: 0.00186718, TIME: 15721.6s
STEP [49400], EPOCH [30/100], ITER [854/1674] 
LOSS: 0.00081935, TIME: 15724.5s
STEP [49420], EPOCH [30/100], ITER [874/1674] 
LOSS: 0.00112645, TIME: 15727.4s
STEP [49440], EPOCH [30/100], ITER [894/1674] 
LOSS: 0.00109687, TIME: 15730.2s
STEP [49460], EPOCH [30/100], ITER [914/1674] 
LOSS: 0.00133775, TIME: 15733.1s
STEP [49480], EPOCH [30/100], ITER [934/1674] 
LOSS: 0.00135586, TIME: 15736.0s
STEP [49500], EPOCH [30/100], ITER [954/1674] 
LOSS: 0.00101635, TIME: 15738.8s
STEP [49520], EPOCH [30/100], ITER [974/1674] 
LOSS: 0.00121824, TIME: 15741.7s
STEP [49540], EPOCH [30/100], ITER [994/1674] 
LOSS: 0.00163541, TIME: 15744.6s
STEP [49560], EPOCH [30/100], ITER [1014/1674] 
LOSS: 0.00134007, TIME: 15747.5s
STEP [49580], EPOCH [30/100], ITER [1034/1674] 
LOSS: 0.00169437, TIME: 15750.3s
STEP [49600], EPOCH [30/100], ITER [1054/1674] 
LOSS: 0.00098263, TIME: 15753.2s
STEP [49620], EPOCH [30/100], ITER [1074/1674] 
LOSS: 0.00120416, TIME: 15756.1s
STEP [49640], EPOCH [30/100], ITER [1094/1674] 
LOSS: 0.00191998, TIME: 15758.9s
STEP [49660], EPOCH [30/100], ITER [1114/1674] 
LOSS: 0.00122816, TIME: 15761.8s
STEP [49680], EPOCH [30/100], ITER [1134/1674] 
LOSS: 0.00136324, TIME: 15764.7s
STEP [49700], EPOCH [30/100], ITER [1154/1674] 
LOSS: 0.00113920, TIME: 15767.6s
STEP [49720], EPOCH [30/100], ITER [1174/1674] 
LOSS: 0.00124574, TIME: 15770.4s
STEP [49740], EPOCH [30/100], ITER [1194/1674] 
LOSS: 0.00174071, TIME: 15773.3s
STEP [49760], EPOCH [30/100], ITER [1214/1674] 
LOSS: 0.00124951, TIME: 15776.2s
STEP [49780], EPOCH [30/100], ITER [1234/1674] 
LOSS: 0.00188661, TIME: 15779.0s
STEP [49800], EPOCH [30/100], ITER [1254/1674] 
LOSS: 0.00127683, TIME: 15781.9s
STEP [49820], EPOCH [30/100], ITER [1274/1674] 
LOSS: 0.00095811, TIME: 15784.8s
STEP [49840], EPOCH [30/100], ITER [1294/1674] 
LOSS: 0.00120042, TIME: 15787.6s
STEP [49860], EPOCH [30/100], ITER [1314/1674] 
LOSS: 0.00181953, TIME: 15790.5s
STEP [49880], EPOCH [30/100], ITER [1334/1674] 
LOSS: 0.00080410, TIME: 15793.4s
STEP [49900], EPOCH [30/100], ITER [1354/1674] 
LOSS: 0.00118115, TIME: 15796.2s
STEP [49920], EPOCH [30/100], ITER [1374/1674] 
LOSS: 0.00114583, TIME: 15799.1s
STEP [49940], EPOCH [30/100], ITER [1394/1674] 
LOSS: 0.00142559, TIME: 15802.0s
STEP [49960], EPOCH [30/100], ITER [1414/1674] 
LOSS: 0.00168707, TIME: 15804.9s
STEP [49980], EPOCH [30/100], ITER [1434/1674] 
LOSS: 0.00115825, TIME: 15807.7s
STEP [50000], EPOCH [30/100], ITER [1454/1674] 
LOSS: 0.00135695, TIME: 15810.6s
STEP [50020], EPOCH [30/100], ITER [1474/1674] 
LOSS: 0.00092567, TIME: 15813.5s
STEP [50040], EPOCH [30/100], ITER [1494/1674] 
LOSS: 0.00179245, TIME: 15816.4s
STEP [50060], EPOCH [30/100], ITER [1514/1674] 
LOSS: 0.00131567, TIME: 15819.3s
STEP [50080], EPOCH [30/100], ITER [1534/1674] 
LOSS: 0.00239638, TIME: 15822.1s
STEP [50100], EPOCH [30/100], ITER [1554/1674] 
LOSS: 0.00116349, TIME: 15825.0s
STEP [50120], EPOCH [30/100], ITER [1574/1674] 
LOSS: 0.00137030, TIME: 15827.9s
STEP [50140], EPOCH [30/100], ITER [1594/1674] 
LOSS: 0.00103616, TIME: 15830.7s
STEP [50160], EPOCH [30/100], ITER [1614/1674] 
LOSS: 0.00104254, TIME: 15833.6s
STEP [50180], EPOCH [30/100], ITER [1634/1674] 
LOSS: 0.00158340, TIME: 15836.5s
STEP [50200], EPOCH [30/100], ITER [1654/1674] 
LOSS: 0.00118968, TIME: 15839.3s
STEP [50220], EPOCH [30/100], ITER [1674/1674] 
LOSS: 0.00122695, TIME: 15842.2s
STEP [50240], EPOCH [31/100], ITER [20/1674] 
LOSS: 0.00135944, TIME: 15848.2s
STEP [50260], EPOCH [31/100], ITER [40/1674] 
LOSS: 0.00211997, TIME: 15851.1s
STEP [50280], EPOCH [31/100], ITER [60/1674] 
LOSS: 0.00249164, TIME: 15853.9s
STEP [50300], EPOCH [31/100], ITER [80/1674] 
LOSS: 0.00375485, TIME: 15856.8s
STEP [50320], EPOCH [31/100], ITER [100/1674] 
LOSS: 0.00120227, TIME: 15859.7s
STEP [50340], EPOCH [31/100], ITER [120/1674] 
LOSS: 0.00169875, TIME: 15862.5s
STEP [50360], EPOCH [31/100], ITER [140/1674] 
LOSS: 0.00251746, TIME: 15865.4s
STEP [50380], EPOCH [31/100], ITER [160/1674] 
LOSS: 0.00127550, TIME: 15868.3s
STEP [50400], EPOCH [31/100], ITER [180/1674] 
LOSS: 0.00159833, TIME: 15871.1s
STEP [50420], EPOCH [31/100], ITER [200/1674] 
LOSS: 0.00138557, TIME: 15874.0s
STEP [50440], EPOCH [31/100], ITER [220/1674] 
LOSS: 0.00186489, TIME: 15876.9s
STEP [50460], EPOCH [31/100], ITER [240/1674] 
LOSS: 0.00168855, TIME: 15879.8s
STEP [50480], EPOCH [31/100], ITER [260/1674] 
LOSS: 0.00132540, TIME: 15882.6s
STEP [50500], EPOCH [31/100], ITER [280/1674] 
LOSS: 0.00165439, TIME: 15885.5s
STEP [50520], EPOCH [31/100], ITER [300/1674] 
LOSS: 0.00119511, TIME: 15888.4s
STEP [50540], EPOCH [31/100], ITER [320/1674] 
LOSS: 0.00183335, TIME: 15891.2s
STEP [50560], EPOCH [31/100], ITER [340/1674] 
LOSS: 0.00126075, TIME: 15894.1s
STEP [50580], EPOCH [31/100], ITER [360/1674] 
LOSS: 0.00159454, TIME: 15897.0s
STEP [50600], EPOCH [31/100], ITER [380/1674] 
LOSS: 0.00141505, TIME: 15899.8s
STEP [50620], EPOCH [31/100], ITER [400/1674] 
LOSS: 0.00185877, TIME: 15902.7s
STEP [50640], EPOCH [31/100], ITER [420/1674] 
LOSS: 0.00157442, TIME: 15905.6s
STEP [50660], EPOCH [31/100], ITER [440/1674] 
LOSS: 0.00133444, TIME: 15908.5s
STEP [50680], EPOCH [31/100], ITER [460/1674] 
LOSS: 0.00150144, TIME: 15911.3s
STEP [50700], EPOCH [31/100], ITER [480/1674] 
LOSS: 0.00138442, TIME: 15914.2s
STEP [50720], EPOCH [31/100], ITER [500/1674] 
LOSS: 0.00119848, TIME: 15917.1s
STEP [50740], EPOCH [31/100], ITER [520/1674] 
LOSS: 0.00132997, TIME: 15919.9s
STEP [50760], EPOCH [31/100], ITER [540/1674] 
LOSS: 0.00114959, TIME: 15922.8s
STEP [50780], EPOCH [31/100], ITER [560/1674] 
LOSS: 0.00161170, TIME: 15925.7s
STEP [50800], EPOCH [31/100], ITER [580/1674] 
LOSS: 0.00148632, TIME: 15928.5s
STEP [50820], EPOCH [31/100], ITER [600/1674] 
LOSS: 0.00220195, TIME: 15931.4s
STEP [50840], EPOCH [31/100], ITER [620/1674] 
LOSS: 0.00144977, TIME: 15934.3s
STEP [50860], EPOCH [31/100], ITER [640/1674] 
LOSS: 0.00159347, TIME: 15937.2s
STEP [50880], EPOCH [31/100], ITER [660/1674] 
LOSS: 0.00103309, TIME: 15940.0s
STEP [50900], EPOCH [31/100], ITER [680/1674] 
LOSS: 0.00101731, TIME: 15942.9s
STEP [50920], EPOCH [31/100], ITER [700/1674] 
LOSS: 0.00111277, TIME: 15945.8s
STEP [50940], EPOCH [31/100], ITER [720/1674] 
LOSS: 0.00221874, TIME: 15948.6s
STEP [50960], EPOCH [31/100], ITER [740/1674] 
LOSS: 0.00101421, TIME: 15951.5s
STEP [50980], EPOCH [31/100], ITER [760/1674] 
LOSS: 0.00132320, TIME: 15954.4s
STEP [51000], EPOCH [31/100], ITER [780/1674] 
LOSS: 0.00139800, TIME: 15957.2s
STEP [51020], EPOCH [31/100], ITER [800/1674] 
LOSS: 0.00163957, TIME: 15960.2s
STEP [51040], EPOCH [31/100], ITER [820/1674] 
LOSS: 0.00105773, TIME: 15963.0s
STEP [51060], EPOCH [31/100], ITER [840/1674] 
LOSS: 0.00161508, TIME: 15965.9s
STEP [51080], EPOCH [31/100], ITER [860/1674] 
LOSS: 0.00160283, TIME: 15968.8s
STEP [51100], EPOCH [31/100], ITER [880/1674] 
LOSS: 0.00130343, TIME: 15971.7s
STEP [51120], EPOCH [31/100], ITER [900/1674] 
LOSS: 0.00231266, TIME: 15974.5s
STEP [51140], EPOCH [31/100], ITER [920/1674] 
LOSS: 0.00159486, TIME: 15977.4s
STEP [51160], EPOCH [31/100], ITER [940/1674] 
LOSS: 0.00098025, TIME: 15980.3s
STEP [51180], EPOCH [31/100], ITER [960/1674] 
LOSS: 0.00123702, TIME: 15983.1s
STEP [51200], EPOCH [31/100], ITER [980/1674] 
LOSS: 0.00151771, TIME: 15986.0s
STEP [51220], EPOCH [31/100], ITER [1000/1674] 
LOSS: 0.00116318, TIME: 15988.9s
STEP [51240], EPOCH [31/100], ITER [1020/1674] 
LOSS: 0.00125549, TIME: 15991.8s
STEP [51260], EPOCH [31/100], ITER [1040/1674] 
LOSS: 0.00160132, TIME: 15994.6s
STEP [51280], EPOCH [31/100], ITER [1060/1674] 
LOSS: 0.00157007, TIME: 15997.5s
STEP [51300], EPOCH [31/100], ITER [1080/1674] 
LOSS: 0.00181799, TIME: 16000.4s
STEP [51320], EPOCH [31/100], ITER [1100/1674] 
LOSS: 0.00160008, TIME: 16003.2s
STEP [51340], EPOCH [31/100], ITER [1120/1674] 
LOSS: 0.00126313, TIME: 16006.1s
STEP [51360], EPOCH [31/100], ITER [1140/1674] 
LOSS: 0.00149967, TIME: 16009.0s
STEP [51380], EPOCH [31/100], ITER [1160/1674] 
LOSS: 0.00106355, TIME: 16011.8s
STEP [51400], EPOCH [31/100], ITER [1180/1674] 
LOSS: 0.00152936, TIME: 16014.7s
STEP [51420], EPOCH [31/100], ITER [1200/1674] 
LOSS: 0.00292465, TIME: 16017.6s
STEP [51440], EPOCH [31/100], ITER [1220/1674] 
LOSS: 0.00134118, TIME: 16020.4s
STEP [51460], EPOCH [31/100], ITER [1240/1674] 
LOSS: 0.00138207, TIME: 16023.3s
STEP [51480], EPOCH [31/100], ITER [1260/1674] 
LOSS: 0.00114156, TIME: 16026.2s
STEP [51500], EPOCH [31/100], ITER [1280/1674] 
LOSS: 0.00130420, TIME: 16029.1s
STEP [51520], EPOCH [31/100], ITER [1300/1674] 
LOSS: 0.00153761, TIME: 16031.9s
STEP [51540], EPOCH [31/100], ITER [1320/1674] 
LOSS: 0.00143364, TIME: 16034.8s
STEP [51560], EPOCH [31/100], ITER [1340/1674] 
LOSS: 0.00133284, TIME: 16037.6s
STEP [51580], EPOCH [31/100], ITER [1360/1674] 
LOSS: 0.00130743, TIME: 16040.5s
STEP [51600], EPOCH [31/100], ITER [1380/1674] 
LOSS: 0.00171509, TIME: 16043.4s
STEP [51620], EPOCH [31/100], ITER [1400/1674] 
LOSS: 0.00144474, TIME: 16046.3s
STEP [51640], EPOCH [31/100], ITER [1420/1674] 
LOSS: 0.00159677, TIME: 16049.1s
STEP [51660], EPOCH [31/100], ITER [1440/1674] 
LOSS: 0.00140936, TIME: 16052.0s
STEP [51680], EPOCH [31/100], ITER [1460/1674] 
LOSS: 0.00155906, TIME: 16054.9s
STEP [51700], EPOCH [31/100], ITER [1480/1674] 
LOSS: 0.00154546, TIME: 16057.7s
STEP [51720], EPOCH [31/100], ITER [1500/1674] 
LOSS: 0.00165187, TIME: 16060.6s
STEP [51740], EPOCH [31/100], ITER [1520/1674] 
LOSS: 0.00168501, TIME: 16063.5s
STEP [51760], EPOCH [31/100], ITER [1540/1674] 
LOSS: 0.00136819, TIME: 16066.3s
STEP [51780], EPOCH [31/100], ITER [1560/1674] 
LOSS: 0.00122038, TIME: 16069.2s
STEP [51800], EPOCH [31/100], ITER [1580/1674] 
LOSS: 0.00124387, TIME: 16072.1s
STEP [51820], EPOCH [31/100], ITER [1600/1674] 
LOSS: 0.00246596, TIME: 16074.9s
STEP [51840], EPOCH [31/100], ITER [1620/1674] 
LOSS: 0.00144185, TIME: 16077.8s
STEP [51860], EPOCH [31/100], ITER [1640/1674] 
LOSS: 0.00190481, TIME: 16080.7s
STEP [51880], EPOCH [31/100], ITER [1660/1674] 
LOSS: 0.00138766, TIME: 16083.5s
STEP [51900], EPOCH [32/100], ITER [6/1674] 
LOSS: 0.00178461, TIME: 16089.3s
STEP [51920], EPOCH [32/100], ITER [26/1674] 
LOSS: 0.00211160, TIME: 16092.2s
STEP [51940], EPOCH [32/100], ITER [46/1674] 
LOSS: 0.00188038, TIME: 16095.0s
STEP [51960], EPOCH [32/100], ITER [66/1674] 
LOSS: 0.00168248, TIME: 16097.9s
STEP [51980], EPOCH [32/100], ITER [86/1674] 
LOSS: 0.00151719, TIME: 16100.8s
STEP [52000], EPOCH [32/100], ITER [106/1674] 
LOSS: 0.00151230, TIME: 16103.6s
STEP [52020], EPOCH [32/100], ITER [126/1674] 
LOSS: 0.00107896, TIME: 16106.6s
STEP [52040], EPOCH [32/100], ITER [146/1674] 
LOSS: 0.00146018, TIME: 16109.5s
STEP [52060], EPOCH [32/100], ITER [166/1674] 
LOSS: 0.00101105, TIME: 16112.3s
STEP [52080], EPOCH [32/100], ITER [186/1674] 
LOSS: 0.00163197, TIME: 16115.2s
STEP [52100], EPOCH [32/100], ITER [206/1674] 
LOSS: 0.00218794, TIME: 16118.1s
STEP [52120], EPOCH [32/100], ITER [226/1674] 
LOSS: 0.00147564, TIME: 16120.9s
STEP [52140], EPOCH [32/100], ITER [246/1674] 
LOSS: 0.00084835, TIME: 16123.8s
STEP [52160], EPOCH [32/100], ITER [266/1674] 
LOSS: 0.00157502, TIME: 16126.7s
STEP [52180], EPOCH [32/100], ITER [286/1674] 
LOSS: 0.00104496, TIME: 16129.5s
STEP [52200], EPOCH [32/100], ITER [306/1674] 
LOSS: 0.00149059, TIME: 16132.4s
STEP [52220], EPOCH [32/100], ITER [326/1674] 
LOSS: 0.00127950, TIME: 16135.3s
STEP [52240], EPOCH [32/100], ITER [346/1674] 
LOSS: 0.00115194, TIME: 16138.1s
STEP [52260], EPOCH [32/100], ITER [366/1674] 
LOSS: 0.00122026, TIME: 16141.0s
STEP [52280], EPOCH [32/100], ITER [386/1674] 
LOSS: 0.00167041, TIME: 16143.9s
STEP [52300], EPOCH [32/100], ITER [406/1674] 
LOSS: 0.00114026, TIME: 16146.7s
STEP [52320], EPOCH [32/100], ITER [426/1674] 
LOSS: 0.00128507, TIME: 16149.6s
STEP [52340], EPOCH [32/100], ITER [446/1674] 
LOSS: 0.00185080, TIME: 16152.5s
STEP [52360], EPOCH [32/100], ITER [466/1674] 
LOSS: 0.00149451, TIME: 16155.3s
STEP [52380], EPOCH [32/100], ITER [486/1674] 
LOSS: 0.00160501, TIME: 16158.2s
STEP [52400], EPOCH [32/100], ITER [506/1674] 
LOSS: 0.00144587, TIME: 16161.1s
STEP [52420], EPOCH [32/100], ITER [526/1674] 
LOSS: 0.00130534, TIME: 16163.9s
STEP [52440], EPOCH [32/100], ITER [546/1674] 
LOSS: 0.00131674, TIME: 16166.8s
STEP [52460], EPOCH [32/100], ITER [566/1674] 
LOSS: 0.00141670, TIME: 16169.7s
STEP [52480], EPOCH [32/100], ITER [586/1674] 
LOSS: 0.00134309, TIME: 16172.6s
STEP [52500], EPOCH [32/100], ITER [606/1674] 
LOSS: 0.00184892, TIME: 16175.4s
STEP [52520], EPOCH [32/100], ITER [626/1674] 
LOSS: 0.00116483, TIME: 16178.3s
STEP [52540], EPOCH [32/100], ITER [646/1674] 
LOSS: 0.00286958, TIME: 16181.2s
STEP [52560], EPOCH [32/100], ITER [666/1674] 
LOSS: 0.00121783, TIME: 16184.0s
STEP [52580], EPOCH [32/100], ITER [686/1674] 
LOSS: 0.00135365, TIME: 16186.9s
STEP [52600], EPOCH [32/100], ITER [706/1674] 
LOSS: 0.00120918, TIME: 16189.8s
STEP [52620], EPOCH [32/100], ITER [726/1674] 
LOSS: 0.00149193, TIME: 16192.6s
STEP [52640], EPOCH [32/100], ITER [746/1674] 
LOSS: 0.00145477, TIME: 16195.5s
STEP [52660], EPOCH [32/100], ITER [766/1674] 
LOSS: 0.00139557, TIME: 16198.4s
STEP [52680], EPOCH [32/100], ITER [786/1674] 
LOSS: 0.00176292, TIME: 16201.3s
STEP [52700], EPOCH [32/100], ITER [806/1674] 
LOSS: 0.00141319, TIME: 16204.1s
STEP [52720], EPOCH [32/100], ITER [826/1674] 
LOSS: 0.00191672, TIME: 16207.0s
STEP [52740], EPOCH [32/100], ITER [846/1674] 
LOSS: 0.00134410, TIME: 16209.9s
STEP [52760], EPOCH [32/100], ITER [866/1674] 
LOSS: 0.00115200, TIME: 16212.7s
STEP [52780], EPOCH [32/100], ITER [886/1674] 
LOSS: 0.00157090, TIME: 16215.6s
STEP [52800], EPOCH [32/100], ITER [906/1674] 
LOSS: 0.00110673, TIME: 16218.5s
STEP [52820], EPOCH [32/100], ITER [926/1674] 
LOSS: 0.00149086, TIME: 16221.3s
STEP [52840], EPOCH [32/100], ITER [946/1674] 
LOSS: 0.00123440, TIME: 16224.2s
STEP [52860], EPOCH [32/100], ITER [966/1674] 
LOSS: 0.00086232, TIME: 16227.1s
STEP [52880], EPOCH [32/100], ITER [986/1674] 
LOSS: 0.00136663, TIME: 16230.0s
STEP [52900], EPOCH [32/100], ITER [1006/1674] 
LOSS: 0.00139153, TIME: 16232.8s
STEP [52920], EPOCH [32/100], ITER [1026/1674] 
LOSS: 0.00134262, TIME: 16235.7s
STEP [52940], EPOCH [32/100], ITER [1046/1674] 
LOSS: 0.00158800, TIME: 16238.6s
STEP [52960], EPOCH [32/100], ITER [1066/1674] 
LOSS: 0.00124467, TIME: 16241.4s
STEP [52980], EPOCH [32/100], ITER [1086/1674] 
LOSS: 0.00128641, TIME: 16244.3s
STEP [53000], EPOCH [32/100], ITER [1106/1674] 
LOSS: 0.00128571, TIME: 16247.2s
STEP [53020], EPOCH [32/100], ITER [1126/1674] 
LOSS: 0.00167640, TIME: 16250.1s
STEP [53040], EPOCH [32/100], ITER [1146/1674] 
LOSS: 0.00123169, TIME: 16253.0s
STEP [53060], EPOCH [32/100], ITER [1166/1674] 
LOSS: 0.00121480, TIME: 16255.8s
STEP [53080], EPOCH [32/100], ITER [1186/1674] 
LOSS: 0.00333809, TIME: 16258.7s
STEP [53100], EPOCH [32/100], ITER [1206/1674] 
LOSS: 0.00133813, TIME: 16261.6s
STEP [53120], EPOCH [32/100], ITER [1226/1674] 
LOSS: 0.00209545, TIME: 16264.4s
STEP [53140], EPOCH [32/100], ITER [1246/1674] 
LOSS: 0.00142464, TIME: 16267.3s
STEP [53160], EPOCH [32/100], ITER [1266/1674] 
LOSS: 0.00108586, TIME: 16270.2s
STEP [53180], EPOCH [32/100], ITER [1286/1674] 
LOSS: 0.00172076, TIME: 16273.0s
STEP [53200], EPOCH [32/100], ITER [1306/1674] 
LOSS: 0.00188496, TIME: 16275.9s
STEP [53220], EPOCH [32/100], ITER [1326/1674] 
LOSS: 0.00155483, TIME: 16278.8s
STEP [53240], EPOCH [32/100], ITER [1346/1674] 
LOSS: 0.00146942, TIME: 16281.6s
STEP [53260], EPOCH [32/100], ITER [1366/1674] 
LOSS: 0.00166416, TIME: 16284.5s
STEP [53280], EPOCH [32/100], ITER [1386/1674] 
LOSS: 0.00122115, TIME: 16287.4s
STEP [53300], EPOCH [32/100], ITER [1406/1674] 
LOSS: 0.00168261, TIME: 16290.2s
STEP [53320], EPOCH [32/100], ITER [1426/1674] 
LOSS: 0.00179259, TIME: 16293.1s
STEP [53340], EPOCH [32/100], ITER [1446/1674] 
LOSS: 0.00113561, TIME: 16296.0s
STEP [53360], EPOCH [32/100], ITER [1466/1674] 
LOSS: 0.00160919, TIME: 16298.9s
STEP [53380], EPOCH [32/100], ITER [1486/1674] 
LOSS: 0.00141962, TIME: 16301.7s
STEP [53400], EPOCH [32/100], ITER [1506/1674] 
LOSS: 0.00204458, TIME: 16304.6s
STEP [53420], EPOCH [32/100], ITER [1526/1674] 
LOSS: 0.00159992, TIME: 16307.5s
STEP [53440], EPOCH [32/100], ITER [1546/1674] 
LOSS: 0.00173787, TIME: 16310.3s
STEP [53460], EPOCH [32/100], ITER [1566/1674] 
LOSS: 0.00179680, TIME: 16313.2s
STEP [53480], EPOCH [32/100], ITER [1586/1674] 
LOSS: 0.00132258, TIME: 16316.1s
STEP [53500], EPOCH [32/100], ITER [1606/1674] 
LOSS: 0.00176315, TIME: 16318.9s
STEP [53520], EPOCH [32/100], ITER [1626/1674] 
LOSS: 0.00112779, TIME: 16321.8s
STEP [53540], EPOCH [32/100], ITER [1646/1674] 
LOSS: 0.00116984, TIME: 16324.7s
STEP [53560], EPOCH [32/100], ITER [1666/1674] 
LOSS: 0.00141843, TIME: 16327.5s
STEP [53580], EPOCH [33/100], ITER [12/1674] 
LOSS: 0.00211679, TIME: 16333.1s
STEP [53600], EPOCH [33/100], ITER [32/1674] 
LOSS: 0.00189983, TIME: 16336.0s
STEP [53620], EPOCH [33/100], ITER [52/1674] 
LOSS: 0.00249617, TIME: 16338.9s
STEP [53640], EPOCH [33/100], ITER [72/1674] 
LOSS: 0.00157272, TIME: 16341.7s
STEP [53660], EPOCH [33/100], ITER [92/1674] 
LOSS: 0.00131954, TIME: 16344.6s
STEP [53680], EPOCH [33/100], ITER [112/1674] 
LOSS: 0.00181867, TIME: 16347.5s
STEP [53700], EPOCH [33/100], ITER [132/1674] 
LOSS: 0.00166757, TIME: 16350.3s
STEP [53720], EPOCH [33/100], ITER [152/1674] 
LOSS: 0.00148514, TIME: 16353.2s
STEP [53740], EPOCH [33/100], ITER [172/1674] 
LOSS: 0.00159787, TIME: 16356.1s
STEP [53760], EPOCH [33/100], ITER [192/1674] 
LOSS: 0.00362930, TIME: 16358.9s
STEP [53780], EPOCH [33/100], ITER [212/1674] 
LOSS: 0.00116951, TIME: 16361.8s
STEP [53800], EPOCH [33/100], ITER [232/1674] 
LOSS: 0.00135895, TIME: 16364.7s
STEP [53820], EPOCH [33/100], ITER [252/1674] 
LOSS: 0.00262023, TIME: 16367.6s
STEP [53840], EPOCH [33/100], ITER [272/1674] 
LOSS: 0.00102297, TIME: 16370.4s
STEP [53860], EPOCH [33/100], ITER [292/1674] 
LOSS: 0.00142817, TIME: 16373.3s
STEP [53880], EPOCH [33/100], ITER [312/1674] 
LOSS: 0.00133881, TIME: 16376.2s
STEP [53900], EPOCH [33/100], ITER [332/1674] 
LOSS: 0.00162980, TIME: 16379.0s
STEP [53920], EPOCH [33/100], ITER [352/1674] 
LOSS: 0.00177939, TIME: 16381.9s
STEP [53940], EPOCH [33/100], ITER [372/1674] 
LOSS: 0.00170860, TIME: 16384.8s
STEP [53960], EPOCH [33/100], ITER [392/1674] 
LOSS: 0.00149525, TIME: 16387.6s
STEP [53980], EPOCH [33/100], ITER [412/1674] 
LOSS: 0.00185975, TIME: 16390.5s
STEP [54000], EPOCH [33/100], ITER [432/1674] 
LOSS: 0.00156094, TIME: 16393.4s
STEP [54020], EPOCH [33/100], ITER [452/1674] 
LOSS: 0.00198307, TIME: 16396.3s
STEP [54040], EPOCH [33/100], ITER [472/1674] 
LOSS: 0.00116632, TIME: 16399.2s
STEP [54060], EPOCH [33/100], ITER [492/1674] 
LOSS: 0.00274970, TIME: 16402.1s
STEP [54080], EPOCH [33/100], ITER [512/1674] 
LOSS: 0.00134278, TIME: 16404.9s
STEP [54100], EPOCH [33/100], ITER [532/1674] 
LOSS: 0.00136378, TIME: 16407.8s
STEP [54120], EPOCH [33/100], ITER [552/1674] 
LOSS: 0.00143582, TIME: 16410.7s
STEP [54140], EPOCH [33/100], ITER [572/1674] 
LOSS: 0.00130021, TIME: 16413.6s
STEP [54160], EPOCH [33/100], ITER [592/1674] 
LOSS: 0.00192150, TIME: 16416.4s
STEP [54180], EPOCH [33/100], ITER [612/1674] 
LOSS: 0.00146677, TIME: 16419.3s
STEP [54200], EPOCH [33/100], ITER [632/1674] 
LOSS: 0.00184503, TIME: 16422.2s
STEP [54220], EPOCH [33/100], ITER [652/1674] 
LOSS: 0.00137173, TIME: 16425.1s
STEP [54240], EPOCH [33/100], ITER [672/1674] 
LOSS: 0.00237040, TIME: 16427.9s
STEP [54260], EPOCH [33/100], ITER [692/1674] 
LOSS: 0.00126620, TIME: 16430.8s
STEP [54280], EPOCH [33/100], ITER [712/1674] 
LOSS: 0.00199514, TIME: 16433.7s
STEP [54300], EPOCH [33/100], ITER [732/1674] 
LOSS: 0.00133734, TIME: 16436.6s
STEP [54320], EPOCH [33/100], ITER [752/1674] 
LOSS: 0.00144192, TIME: 16439.4s
STEP [54340], EPOCH [33/100], ITER [772/1674] 
LOSS: 0.00173304, TIME: 16442.3s
STEP [54360], EPOCH [33/100], ITER [792/1674] 
LOSS: 0.00150922, TIME: 16445.2s
STEP [54380], EPOCH [33/100], ITER [812/1674] 
LOSS: 0.00121815, TIME: 16448.0s
STEP [54400], EPOCH [33/100], ITER [832/1674] 
LOSS: 0.00154792, TIME: 16450.9s
STEP [54420], EPOCH [33/100], ITER [852/1674] 
LOSS: 0.00099282, TIME: 16453.8s
STEP [54440], EPOCH [33/100], ITER [872/1674] 
LOSS: 0.00112023, TIME: 16456.6s
STEP [54460], EPOCH [33/100], ITER [892/1674] 
LOSS: 0.00404300, TIME: 16459.5s
STEP [54480], EPOCH [33/100], ITER [912/1674] 
LOSS: 0.00132377, TIME: 16462.4s
STEP [54500], EPOCH [33/100], ITER [932/1674] 
LOSS: 0.00133718, TIME: 16465.2s
STEP [54520], EPOCH [33/100], ITER [952/1674] 
LOSS: 0.00158718, TIME: 16468.1s
STEP [54540], EPOCH [33/100], ITER [972/1674] 
LOSS: 0.00130947, TIME: 16471.0s
STEP [54560], EPOCH [33/100], ITER [992/1674] 
LOSS: 0.00141402, TIME: 16473.8s
STEP [54580], EPOCH [33/100], ITER [1012/1674] 
LOSS: 0.00164894, TIME: 16476.7s
STEP [54600], EPOCH [33/100], ITER [1032/1674] 
LOSS: 0.00166443, TIME: 16479.6s
STEP [54620], EPOCH [33/100], ITER [1052/1674] 
LOSS: 0.00155192, TIME: 16482.5s
STEP [54640], EPOCH [33/100], ITER [1072/1674] 
LOSS: 0.00114329, TIME: 16485.3s
STEP [54660], EPOCH [33/100], ITER [1092/1674] 
LOSS: 0.00122448, TIME: 16488.2s
STEP [54680], EPOCH [33/100], ITER [1112/1674] 
LOSS: 0.00118956, TIME: 16491.1s
STEP [54700], EPOCH [33/100], ITER [1132/1674] 
LOSS: 0.00163202, TIME: 16493.9s
STEP [54720], EPOCH [33/100], ITER [1152/1674] 
LOSS: 0.00105378, TIME: 16496.8s
STEP [54740], EPOCH [33/100], ITER [1172/1674] 
LOSS: 0.00161976, TIME: 16499.7s
STEP [54760], EPOCH [33/100], ITER [1192/1674] 
LOSS: 0.00144833, TIME: 16502.5s
STEP [54780], EPOCH [33/100], ITER [1212/1674] 
LOSS: 0.00135910, TIME: 16505.4s
STEP [54800], EPOCH [33/100], ITER [1232/1674] 
LOSS: 0.00121279, TIME: 16508.3s
STEP [54820], EPOCH [33/100], ITER [1252/1674] 
LOSS: 0.00103926, TIME: 16511.2s
STEP [54840], EPOCH [33/100], ITER [1272/1674] 
LOSS: 0.00180544, TIME: 16514.0s
STEP [54860], EPOCH [33/100], ITER [1292/1674] 
LOSS: 0.00110302, TIME: 16516.9s
STEP [54880], EPOCH [33/100], ITER [1312/1674] 
LOSS: 0.00135458, TIME: 16519.8s
STEP [54900], EPOCH [33/100], ITER [1332/1674] 
LOSS: 0.00108254, TIME: 16522.6s
STEP [54920], EPOCH [33/100], ITER [1352/1674] 
LOSS: 0.00105038, TIME: 16525.5s
STEP [54940], EPOCH [33/100], ITER [1372/1674] 
LOSS: 0.00200277, TIME: 16528.4s
STEP [54960], EPOCH [33/100], ITER [1392/1674] 
LOSS: 0.00097684, TIME: 16531.2s
STEP [54980], EPOCH [33/100], ITER [1412/1674] 
LOSS: 0.00145397, TIME: 16534.1s
STEP [55000], EPOCH [33/100], ITER [1432/1674] 
LOSS: 0.00159580, TIME: 16537.0s
STEP [55020], EPOCH [33/100], ITER [1452/1674] 
LOSS: 0.00108669, TIME: 16539.9s
STEP [55040], EPOCH [33/100], ITER [1472/1674] 
LOSS: 0.00116845, TIME: 16542.8s
STEP [55060], EPOCH [33/100], ITER [1492/1674] 
LOSS: 0.00150224, TIME: 16545.7s
STEP [55080], EPOCH [33/100], ITER [1512/1674] 
LOSS: 0.00100569, TIME: 16548.5s
STEP [55100], EPOCH [33/100], ITER [1532/1674] 
LOSS: 0.00143274, TIME: 16551.4s
STEP [55120], EPOCH [33/100], ITER [1552/1674] 
LOSS: 0.00254827, TIME: 16554.3s
STEP [55140], EPOCH [33/100], ITER [1572/1674] 
LOSS: 0.00125110, TIME: 16557.1s
STEP [55160], EPOCH [33/100], ITER [1592/1674] 
LOSS: 0.00166609, TIME: 16560.0s
STEP [55180], EPOCH [33/100], ITER [1612/1674] 
LOSS: 0.00149069, TIME: 16562.9s
STEP [55200], EPOCH [33/100], ITER [1632/1674] 
LOSS: 0.00224851, TIME: 16565.8s
STEP [55220], EPOCH [33/100], ITER [1652/1674] 
LOSS: 0.00114908, TIME: 16568.6s
STEP [55240], EPOCH [33/100], ITER [1672/1674] 
LOSS: 0.00122460, TIME: 16571.5s
STEP [55260], EPOCH [34/100], ITER [18/1674] 
LOSS: 0.00204401, TIME: 16576.7s
STEP [55280], EPOCH [34/100], ITER [38/1674] 
LOSS: 0.00141107, TIME: 16579.5s
STEP [55300], EPOCH [34/100], ITER [58/1674] 
LOSS: 0.00182079, TIME: 16582.4s
STEP [55320], EPOCH [34/100], ITER [78/1674] 
LOSS: 0.00116767, TIME: 16585.3s
STEP [55340], EPOCH [34/100], ITER [98/1674] 
LOSS: 0.00160579, TIME: 16588.1s
STEP [55360], EPOCH [34/100], ITER [118/1674] 
LOSS: 0.00129645, TIME: 16591.0s
STEP [55380], EPOCH [34/100], ITER [138/1674] 
LOSS: 0.00174805, TIME: 16593.9s
STEP [55400], EPOCH [34/100], ITER [158/1674] 
LOSS: 0.00125141, TIME: 16596.7s
STEP [55420], EPOCH [34/100], ITER [178/1674] 
LOSS: 0.00105554, TIME: 16599.6s
STEP [55440], EPOCH [34/100], ITER [198/1674] 
LOSS: 0.00183119, TIME: 16602.5s
STEP [55460], EPOCH [34/100], ITER [218/1674] 
LOSS: 0.00162920, TIME: 16605.4s
STEP [55480], EPOCH [34/100], ITER [238/1674] 
LOSS: 0.00164592, TIME: 16608.2s
STEP [55500], EPOCH [34/100], ITER [258/1674] 
LOSS: 0.00136028, TIME: 16611.1s
STEP [55520], EPOCH [34/100], ITER [278/1674] 
LOSS: 0.00128785, TIME: 16614.0s
STEP [55540], EPOCH [34/100], ITER [298/1674] 
LOSS: 0.00169518, TIME: 16616.8s
STEP [55560], EPOCH [34/100], ITER [318/1674] 
LOSS: 0.00140236, TIME: 16619.7s
STEP [55580], EPOCH [34/100], ITER [338/1674] 
LOSS: 0.00131566, TIME: 16622.6s
STEP [55600], EPOCH [34/100], ITER [358/1674] 
LOSS: 0.00116333, TIME: 16625.4s
STEP [55620], EPOCH [34/100], ITER [378/1674] 
LOSS: 0.00144029, TIME: 16628.3s
STEP [55640], EPOCH [34/100], ITER [398/1674] 
LOSS: 0.00135976, TIME: 16631.2s
STEP [55660], EPOCH [34/100], ITER [418/1674] 
LOSS: 0.00127542, TIME: 16634.0s
STEP [55680], EPOCH [34/100], ITER [438/1674] 
LOSS: 0.00161465, TIME: 16636.9s
STEP [55700], EPOCH [34/100], ITER [458/1674] 
LOSS: 0.00127363, TIME: 16639.8s
STEP [55720], EPOCH [34/100], ITER [478/1674] 
LOSS: 0.00145250, TIME: 16642.6s
STEP [55740], EPOCH [34/100], ITER [498/1674] 
LOSS: 0.00128165, TIME: 16645.5s
STEP [55760], EPOCH [34/100], ITER [518/1674] 
LOSS: 0.00097387, TIME: 16648.4s
STEP [55780], EPOCH [34/100], ITER [538/1674] 
LOSS: 0.00144655, TIME: 16651.3s
STEP [55800], EPOCH [34/100], ITER [558/1674] 
LOSS: 0.00159195, TIME: 16654.1s
STEP [55820], EPOCH [34/100], ITER [578/1674] 
LOSS: 0.00096686, TIME: 16657.0s
STEP [55840], EPOCH [34/100], ITER [598/1674] 
LOSS: 0.00193663, TIME: 16659.9s
STEP [55860], EPOCH [34/100], ITER [618/1674] 
LOSS: 0.00120676, TIME: 16662.8s
STEP [55880], EPOCH [34/100], ITER [638/1674] 
LOSS: 0.00156466, TIME: 16665.6s
STEP [55900], EPOCH [34/100], ITER [658/1674] 
LOSS: 0.00167408, TIME: 16668.5s
STEP [55920], EPOCH [34/100], ITER [678/1674] 
LOSS: 0.00123805, TIME: 16671.4s
STEP [55940], EPOCH [34/100], ITER [698/1674] 
LOSS: 0.00175821, TIME: 16674.2s
STEP [55960], EPOCH [34/100], ITER [718/1674] 
LOSS: 0.00143820, TIME: 16677.1s
STEP [55980], EPOCH [34/100], ITER [738/1674] 
LOSS: 0.00101778, TIME: 16680.0s
STEP [56000], EPOCH [34/100], ITER [758/1674] 
LOSS: 0.00141847, TIME: 16682.8s
STEP [56020], EPOCH [34/100], ITER [778/1674] 
LOSS: 0.00165714, TIME: 16685.8s
STEP [56040], EPOCH [34/100], ITER [798/1674] 
LOSS: 0.00157220, TIME: 16688.6s
STEP [56060], EPOCH [34/100], ITER [818/1674] 
LOSS: 0.00177074, TIME: 16691.5s
STEP [56080], EPOCH [34/100], ITER [838/1674] 
LOSS: 0.00161406, TIME: 16694.4s
STEP [56100], EPOCH [34/100], ITER [858/1674] 
LOSS: 0.00083981, TIME: 16697.3s
STEP [56120], EPOCH [34/100], ITER [878/1674] 
LOSS: 0.00146710, TIME: 16700.1s
STEP [56140], EPOCH [34/100], ITER [898/1674] 
LOSS: 0.00327950, TIME: 16703.0s
STEP [56160], EPOCH [34/100], ITER [918/1674] 
LOSS: 0.00119922, TIME: 16705.9s
STEP [56180], EPOCH [34/100], ITER [938/1674] 
LOSS: 0.00215771, TIME: 16708.7s
STEP [56200], EPOCH [34/100], ITER [958/1674] 
LOSS: 0.00367741, TIME: 16711.6s
STEP [56220], EPOCH [34/100], ITER [978/1674] 
LOSS: 0.00147065, TIME: 16714.5s
STEP [56240], EPOCH [34/100], ITER [998/1674] 
LOSS: 0.00112527, TIME: 16717.4s
STEP [56260], EPOCH [34/100], ITER [1018/1674] 
LOSS: 0.00105913, TIME: 16720.2s
STEP [56280], EPOCH [34/100], ITER [1038/1674] 
LOSS: 0.00127853, TIME: 16723.1s
STEP [56300], EPOCH [34/100], ITER [1058/1674] 
LOSS: 0.00127156, TIME: 16726.0s
STEP [56320], EPOCH [34/100], ITER [1078/1674] 
LOSS: 0.00139415, TIME: 16728.8s
STEP [56340], EPOCH [34/100], ITER [1098/1674] 
LOSS: 0.00167859, TIME: 16731.7s
STEP [56360], EPOCH [34/100], ITER [1118/1674] 
LOSS: 0.00119955, TIME: 16734.6s
STEP [56380], EPOCH [34/100], ITER [1138/1674] 
LOSS: 0.00154391, TIME: 16737.5s
STEP [56400], EPOCH [34/100], ITER [1158/1674] 
LOSS: 0.00125606, TIME: 16740.3s
STEP [56420], EPOCH [34/100], ITER [1178/1674] 
LOSS: 0.00108144, TIME: 16743.2s
STEP [56440], EPOCH [34/100], ITER [1198/1674] 
LOSS: 0.00101658, TIME: 16746.1s
STEP [56460], EPOCH [34/100], ITER [1218/1674] 
LOSS: 0.00112390, TIME: 16748.9s
STEP [56480], EPOCH [34/100], ITER [1238/1674] 
LOSS: 0.00137754, TIME: 16751.8s
STEP [56500], EPOCH [34/100], ITER [1258/1674] 
LOSS: 0.00144170, TIME: 16754.7s
STEP [56520], EPOCH [34/100], ITER [1278/1674] 
LOSS: 0.00120793, TIME: 16757.5s
STEP [56540], EPOCH [34/100], ITER [1298/1674] 
LOSS: 0.00125084, TIME: 16760.4s
STEP [56560], EPOCH [34/100], ITER [1318/1674] 
LOSS: 0.00152571, TIME: 16763.3s
STEP [56580], EPOCH [34/100], ITER [1338/1674] 
LOSS: 0.00136853, TIME: 16766.1s
STEP [56600], EPOCH [34/100], ITER [1358/1674] 
LOSS: 0.00140533, TIME: 16769.0s
STEP [56620], EPOCH [34/100], ITER [1378/1674] 
LOSS: 0.00215201, TIME: 16771.9s
STEP [56640], EPOCH [34/100], ITER [1398/1674] 
LOSS: 0.00074054, TIME: 16774.7s
STEP [56660], EPOCH [34/100], ITER [1418/1674] 
LOSS: 0.00182062, TIME: 16777.6s
STEP [56680], EPOCH [34/100], ITER [1438/1674] 
LOSS: 0.00130776, TIME: 16780.5s
STEP [56700], EPOCH [34/100], ITER [1458/1674] 
LOSS: 0.00118138, TIME: 16783.3s
STEP [56720], EPOCH [34/100], ITER [1478/1674] 
LOSS: 0.00233786, TIME: 16786.2s
STEP [56740], EPOCH [34/100], ITER [1498/1674] 
LOSS: 0.00182690, TIME: 16789.1s
STEP [56760], EPOCH [34/100], ITER [1518/1674] 
LOSS: 0.00137706, TIME: 16792.0s
STEP [56780], EPOCH [34/100], ITER [1538/1674] 
LOSS: 0.00142527, TIME: 16794.8s
STEP [56800], EPOCH [34/100], ITER [1558/1674] 
LOSS: 0.00188891, TIME: 16797.7s
STEP [56820], EPOCH [34/100], ITER [1578/1674] 
LOSS: 0.00145779, TIME: 16800.6s
STEP [56840], EPOCH [34/100], ITER [1598/1674] 
LOSS: 0.00173596, TIME: 16803.4s
STEP [56860], EPOCH [34/100], ITER [1618/1674] 
LOSS: 0.00144609, TIME: 16806.3s
STEP [56880], EPOCH [34/100], ITER [1638/1674] 
LOSS: 0.00165277, TIME: 16809.2s
STEP [56900], EPOCH [34/100], ITER [1658/1674] 
LOSS: 0.00195320, TIME: 16812.0s
STEP [56920], EPOCH [35/100], ITER [4/1674] 
LOSS: 0.00218742, TIME: 16817.3s
STEP [56940], EPOCH [35/100], ITER [24/1674] 
LOSS: 0.00172565, TIME: 16820.1s
STEP [56960], EPOCH [35/100], ITER [44/1674] 
LOSS: 0.00150044, TIME: 16823.0s
STEP [56980], EPOCH [35/100], ITER [64/1674] 
LOSS: 0.00147504, TIME: 16825.9s
STEP [57000], EPOCH [35/100], ITER [84/1674] 
LOSS: 0.00150559, TIME: 16828.7s
STEP [57020], EPOCH [35/100], ITER [104/1674] 
LOSS: 0.00178853, TIME: 16831.7s
STEP [57040], EPOCH [35/100], ITER [124/1674] 
LOSS: 0.00091783, TIME: 16834.6s
STEP [57060], EPOCH [35/100], ITER [144/1674] 
LOSS: 0.00162960, TIME: 16837.4s
STEP [57080], EPOCH [35/100], ITER [164/1674] 
LOSS: 0.00142111, TIME: 16840.3s
STEP [57100], EPOCH [35/100], ITER [184/1674] 
LOSS: 0.00163645, TIME: 16843.1s
STEP [57120], EPOCH [35/100], ITER [204/1674] 
LOSS: 0.00218468, TIME: 16846.0s
STEP [57140], EPOCH [35/100], ITER [224/1674] 
LOSS: 0.00106495, TIME: 16848.9s
STEP [57160], EPOCH [35/100], ITER [244/1674] 
LOSS: 0.00148109, TIME: 16851.7s
STEP [57180], EPOCH [35/100], ITER [264/1674] 
LOSS: 0.00166934, TIME: 16854.6s
STEP [57200], EPOCH [35/100], ITER [284/1674] 
LOSS: 0.00158084, TIME: 16857.5s
STEP [57220], EPOCH [35/100], ITER [304/1674] 
LOSS: 0.00183907, TIME: 16860.3s
STEP [57240], EPOCH [35/100], ITER [324/1674] 
LOSS: 0.00101929, TIME: 16863.2s
STEP [57260], EPOCH [35/100], ITER [344/1674] 
LOSS: 0.00172647, TIME: 16866.1s
STEP [57280], EPOCH [35/100], ITER [364/1674] 
LOSS: 0.00113935, TIME: 16869.0s
STEP [57300], EPOCH [35/100], ITER [384/1674] 
LOSS: 0.00146017, TIME: 16871.8s
STEP [57320], EPOCH [35/100], ITER [404/1674] 
LOSS: 0.00120677, TIME: 16874.7s
STEP [57340], EPOCH [35/100], ITER [424/1674] 
LOSS: 0.00170205, TIME: 16877.5s
STEP [57360], EPOCH [35/100], ITER [444/1674] 
LOSS: 0.00166265, TIME: 16880.4s
STEP [57380], EPOCH [35/100], ITER [464/1674] 
LOSS: 0.00134924, TIME: 16883.3s
STEP [57400], EPOCH [35/100], ITER [484/1674] 
LOSS: 0.00094750, TIME: 16886.2s
STEP [57420], EPOCH [35/100], ITER [504/1674] 
LOSS: 0.00130471, TIME: 16889.0s
STEP [57440], EPOCH [35/100], ITER [524/1674] 
LOSS: 0.00089715, TIME: 16891.9s
STEP [57460], EPOCH [35/100], ITER [544/1674] 
LOSS: 0.00175519, TIME: 16894.8s
STEP [57480], EPOCH [35/100], ITER [564/1674] 
LOSS: 0.00161073, TIME: 16897.6s
STEP [57500], EPOCH [35/100], ITER [584/1674] 
LOSS: 0.00117400, TIME: 16900.5s
STEP [57520], EPOCH [35/100], ITER [604/1674] 
LOSS: 0.00111532, TIME: 16903.4s
STEP [57540], EPOCH [35/100], ITER [624/1674] 
LOSS: 0.00183038, TIME: 16906.2s
STEP [57560], EPOCH [35/100], ITER [644/1674] 
LOSS: 0.00122279, TIME: 16909.1s
STEP [57580], EPOCH [35/100], ITER [664/1674] 
LOSS: 0.00182838, TIME: 16912.0s
STEP [57600], EPOCH [35/100], ITER [684/1674] 
LOSS: 0.00162403, TIME: 16914.8s
STEP [57620], EPOCH [35/100], ITER [704/1674] 
LOSS: 0.00120541, TIME: 16917.7s
STEP [57640], EPOCH [35/100], ITER [724/1674] 
LOSS: 0.00157474, TIME: 16920.6s
STEP [57660], EPOCH [35/100], ITER [744/1674] 
LOSS: 0.00145949, TIME: 16923.4s
STEP [57680], EPOCH [35/100], ITER [764/1674] 
LOSS: 0.00141446, TIME: 16926.3s
STEP [57700], EPOCH [35/100], ITER [784/1674] 
LOSS: 0.00138892, TIME: 16929.2s
STEP [57720], EPOCH [35/100], ITER [804/1674] 
LOSS: 0.00243236, TIME: 16932.1s
STEP [57740], EPOCH [35/100], ITER [824/1674] 
LOSS: 0.00152469, TIME: 16934.9s
STEP [57760], EPOCH [35/100], ITER [844/1674] 
LOSS: 0.00158947, TIME: 16937.8s
STEP [57780], EPOCH [35/100], ITER [864/1674] 
LOSS: 0.00184974, TIME: 16940.7s
STEP [57800], EPOCH [35/100], ITER [884/1674] 
LOSS: 0.00230082, TIME: 16943.5s
STEP [57820], EPOCH [35/100], ITER [904/1674] 
LOSS: 0.00164479, TIME: 16946.4s
STEP [57840], EPOCH [35/100], ITER [924/1674] 
LOSS: 0.00150381, TIME: 16949.3s
STEP [57860], EPOCH [35/100], ITER [944/1674] 
LOSS: 0.00186322, TIME: 16952.1s
STEP [57880], EPOCH [35/100], ITER [964/1674] 
LOSS: 0.00109610, TIME: 16955.0s
STEP [57900], EPOCH [35/100], ITER [984/1674] 
LOSS: 0.00156959, TIME: 16957.9s
STEP [57920], EPOCH [35/100], ITER [1004/1674] 
LOSS: 0.00145145, TIME: 16960.7s
STEP [57940], EPOCH [35/100], ITER [1024/1674] 
LOSS: 0.00116718, TIME: 16963.6s
STEP [57960], EPOCH [35/100], ITER [1044/1674] 
LOSS: 0.00144542, TIME: 16966.5s
STEP [57980], EPOCH [35/100], ITER [1064/1674] 
LOSS: 0.00125361, TIME: 16969.3s
STEP [58000], EPOCH [35/100], ITER [1084/1674] 
LOSS: 0.00110193, TIME: 16972.2s
STEP [58020], EPOCH [35/100], ITER [1104/1674] 
LOSS: 0.00172663, TIME: 16975.1s
STEP [58040], EPOCH [35/100], ITER [1124/1674] 
LOSS: 0.00137589, TIME: 16978.0s
STEP [58060], EPOCH [35/100], ITER [1144/1674] 
LOSS: 0.00126668, TIME: 16980.9s
STEP [58080], EPOCH [35/100], ITER [1164/1674] 
LOSS: 0.00213540, TIME: 16983.8s
STEP [58100], EPOCH [35/100], ITER [1184/1674] 
LOSS: 0.00085827, TIME: 16986.6s
STEP [58120], EPOCH [35/100], ITER [1204/1674] 
LOSS: 0.00156447, TIME: 16989.5s
STEP [58140], EPOCH [35/100], ITER [1224/1674] 
LOSS: 0.00177811, TIME: 16992.4s
STEP [58160], EPOCH [35/100], ITER [1244/1674] 
LOSS: 0.00305690, TIME: 16995.2s
STEP [58180], EPOCH [35/100], ITER [1264/1674] 
LOSS: 0.00130995, TIME: 16998.1s
STEP [58200], EPOCH [35/100], ITER [1284/1674] 
LOSS: 0.00176230, TIME: 17001.0s
STEP [58220], EPOCH [35/100], ITER [1304/1674] 
LOSS: 0.00236822, TIME: 17003.9s
STEP [58240], EPOCH [35/100], ITER [1324/1674] 
LOSS: 0.00149910, TIME: 17006.7s
STEP [58260], EPOCH [35/100], ITER [1344/1674] 
LOSS: 0.00098829, TIME: 17009.6s
STEP [58280], EPOCH [35/100], ITER [1364/1674] 
LOSS: 0.00177898, TIME: 17012.5s
STEP [58300], EPOCH [35/100], ITER [1384/1674] 
LOSS: 0.00175244, TIME: 17015.3s
STEP [58320], EPOCH [35/100], ITER [1404/1674] 
LOSS: 0.00140499, TIME: 17018.2s
STEP [58340], EPOCH [35/100], ITER [1424/1674] 
LOSS: 0.00172932, TIME: 17021.1s
STEP [58360], EPOCH [35/100], ITER [1444/1674] 
LOSS: 0.00137840, TIME: 17023.9s
STEP [58380], EPOCH [35/100], ITER [1464/1674] 
LOSS: 0.00114207, TIME: 17026.8s
STEP [58400], EPOCH [35/100], ITER [1484/1674] 
LOSS: 0.00185330, TIME: 17029.7s
STEP [58420], EPOCH [35/100], ITER [1504/1674] 
LOSS: 0.00145057, TIME: 17032.5s
STEP [58440], EPOCH [35/100], ITER [1524/1674] 
LOSS: 0.00142726, TIME: 17035.4s
STEP [58460], EPOCH [35/100], ITER [1544/1674] 
LOSS: 0.00108782, TIME: 17038.3s
STEP [58480], EPOCH [35/100], ITER [1564/1674] 
LOSS: 0.00145999, TIME: 17041.2s
STEP [58500], EPOCH [35/100], ITER [1584/1674] 
LOSS: 0.00169084, TIME: 17044.0s
STEP [58520], EPOCH [35/100], ITER [1604/1674] 
LOSS: 0.00139221, TIME: 17046.9s
STEP [58540], EPOCH [35/100], ITER [1624/1674] 
LOSS: 0.00100998, TIME: 17049.8s
STEP [58560], EPOCH [35/100], ITER [1644/1674] 
LOSS: 0.00127022, TIME: 17052.6s
STEP [58580], EPOCH [35/100], ITER [1664/1674] 
LOSS: 0.00138562, TIME: 17055.5s
STEP [58600], EPOCH [36/100], ITER [10/1674] 
LOSS: 0.00188115, TIME: 17061.3s
STEP [58620], EPOCH [36/100], ITER [30/1674] 
LOSS: 0.00153391, TIME: 17064.2s
STEP [58640], EPOCH [36/100], ITER [50/1674] 
LOSS: 0.00175306, TIME: 17067.0s
STEP [58660], EPOCH [36/100], ITER [70/1674] 
LOSS: 0.00153651, TIME: 17069.9s
STEP [58680], EPOCH [36/100], ITER [90/1674] 
LOSS: 0.00121806, TIME: 17072.8s
STEP [58700], EPOCH [36/100], ITER [110/1674] 
LOSS: 0.00144186, TIME: 17075.6s
STEP [58720], EPOCH [36/100], ITER [130/1674] 
LOSS: 0.00176220, TIME: 17078.5s
STEP [58740], EPOCH [36/100], ITER [150/1674] 
LOSS: 0.00311149, TIME: 17081.4s
STEP [58760], EPOCH [36/100], ITER [170/1674] 
LOSS: 0.00095046, TIME: 17084.2s
STEP [58780], EPOCH [36/100], ITER [190/1674] 
LOSS: 0.00113084, TIME: 17087.1s
STEP [58800], EPOCH [36/100], ITER [210/1674] 
LOSS: 0.00202951, TIME: 17090.0s
STEP [58820], EPOCH [36/100], ITER [230/1674] 
LOSS: 0.00203851, TIME: 17092.8s
STEP [58840], EPOCH [36/100], ITER [250/1674] 
LOSS: 0.00134666, TIME: 17095.7s
STEP [58860], EPOCH [36/100], ITER [270/1674] 
LOSS: 0.00126627, TIME: 17098.6s
STEP [58880], EPOCH [36/100], ITER [290/1674] 
LOSS: 0.00127044, TIME: 17101.4s
STEP [58900], EPOCH [36/100], ITER [310/1674] 
LOSS: 0.00148084, TIME: 17104.3s
STEP [58920], EPOCH [36/100], ITER [330/1674] 
LOSS: 0.00164594, TIME: 17107.2s
STEP [58940], EPOCH [36/100], ITER [350/1674] 
LOSS: 0.00157495, TIME: 17110.0s
STEP [58960], EPOCH [36/100], ITER [370/1674] 
LOSS: 0.00268617, TIME: 17112.9s
STEP [58980], EPOCH [36/100], ITER [390/1674] 
LOSS: 0.00084206, TIME: 17115.8s
STEP [59000], EPOCH [36/100], ITER [410/1674] 
LOSS: 0.00119058, TIME: 17118.7s
STEP [59020], EPOCH [36/100], ITER [430/1674] 
LOSS: 0.00126414, TIME: 17121.6s
STEP [59040], EPOCH [36/100], ITER [450/1674] 
LOSS: 0.00144795, TIME: 17124.5s
STEP [59060], EPOCH [36/100], ITER [470/1674] 
LOSS: 0.00176963, TIME: 17127.4s
STEP [59080], EPOCH [36/100], ITER [490/1674] 
LOSS: 0.00117950, TIME: 17130.2s
STEP [59100], EPOCH [36/100], ITER [510/1674] 
LOSS: 0.00171320, TIME: 17133.1s
STEP [59120], EPOCH [36/100], ITER [530/1674] 
LOSS: 0.00162880, TIME: 17136.0s
STEP [59140], EPOCH [36/100], ITER [550/1674] 
LOSS: 0.00149519, TIME: 17138.8s
STEP [59160], EPOCH [36/100], ITER [570/1674] 
LOSS: 0.00090017, TIME: 17141.7s
STEP [59180], EPOCH [36/100], ITER [590/1674] 
LOSS: 0.00211028, TIME: 17144.6s
STEP [59200], EPOCH [36/100], ITER [610/1674] 
LOSS: 0.00120094, TIME: 17147.4s
STEP [59220], EPOCH [36/100], ITER [630/1674] 
LOSS: 0.00150263, TIME: 17150.3s
STEP [59240], EPOCH [36/100], ITER [650/1674] 
LOSS: 0.00127392, TIME: 17153.2s
STEP [59260], EPOCH [36/100], ITER [670/1674] 
LOSS: 0.00136235, TIME: 17156.0s
STEP [59280], EPOCH [36/100], ITER [690/1674] 
LOSS: 0.00104824, TIME: 17158.9s
STEP [59300], EPOCH [36/100], ITER [710/1674] 
LOSS: 0.00085391, TIME: 17161.8s
STEP [59320], EPOCH [36/100], ITER [730/1674] 
LOSS: 0.00215611, TIME: 17164.7s
STEP [59340], EPOCH [36/100], ITER [750/1674] 
LOSS: 0.00149959, TIME: 17167.5s
STEP [59360], EPOCH [36/100], ITER [770/1674] 
LOSS: 0.00141272, TIME: 17170.4s
STEP [59380], EPOCH [36/100], ITER [790/1674] 
LOSS: 0.00151953, TIME: 17173.3s
STEP [59400], EPOCH [36/100], ITER [810/1674] 
LOSS: 0.00250733, TIME: 17176.1s
STEP [59420], EPOCH [36/100], ITER [830/1674] 
LOSS: 0.00114690, TIME: 17179.0s
STEP [59440], EPOCH [36/100], ITER [850/1674] 
LOSS: 0.00098332, TIME: 17181.9s
STEP [59460], EPOCH [36/100], ITER [870/1674] 
LOSS: 0.00126688, TIME: 17184.7s
STEP [59480], EPOCH [36/100], ITER [890/1674] 
LOSS: 0.00126760, TIME: 17187.6s
STEP [59500], EPOCH [36/100], ITER [910/1674] 
LOSS: 0.00143773, TIME: 17190.5s
STEP [59520], EPOCH [36/100], ITER [930/1674] 
LOSS: 0.00155389, TIME: 17193.3s
STEP [59540], EPOCH [36/100], ITER [950/1674] 
LOSS: 0.00154078, TIME: 17196.2s
STEP [59560], EPOCH [36/100], ITER [970/1674] 
LOSS: 0.00111707, TIME: 17199.1s
STEP [59580], EPOCH [36/100], ITER [990/1674] 
LOSS: 0.00137727, TIME: 17201.9s
STEP [59600], EPOCH [36/100], ITER [1010/1674] 
LOSS: 0.00120964, TIME: 17204.8s
STEP [59620], EPOCH [36/100], ITER [1030/1674] 
LOSS: 0.00159803, TIME: 17207.7s
STEP [59640], EPOCH [36/100], ITER [1050/1674] 
LOSS: 0.00110551, TIME: 17210.6s
STEP [59660], EPOCH [36/100], ITER [1070/1674] 
LOSS: 0.00121000, TIME: 17213.4s
STEP [59680], EPOCH [36/100], ITER [1090/1674] 
LOSS: 0.00172715, TIME: 17216.3s
STEP [59700], EPOCH [36/100], ITER [1110/1674] 
LOSS: 0.00103205, TIME: 17219.2s
STEP [59720], EPOCH [36/100], ITER [1130/1674] 
LOSS: 0.00093726, TIME: 17222.0s
STEP [59740], EPOCH [36/100], ITER [1150/1674] 
LOSS: 0.00125734, TIME: 17224.9s
STEP [59760], EPOCH [36/100], ITER [1170/1674] 
LOSS: 0.00175437, TIME: 17227.8s
STEP [59780], EPOCH [36/100], ITER [1190/1674] 
LOSS: 0.00213823, TIME: 17230.6s
STEP [59800], EPOCH [36/100], ITER [1210/1674] 
LOSS: 0.00146278, TIME: 17233.5s
STEP [59820], EPOCH [36/100], ITER [1230/1674] 
LOSS: 0.00100192, TIME: 17236.4s
STEP [59840], EPOCH [36/100], ITER [1250/1674] 
LOSS: 0.00077490, TIME: 17239.2s
STEP [59860], EPOCH [36/100], ITER [1270/1674] 
LOSS: 0.00127349, TIME: 17242.1s
STEP [59880], EPOCH [36/100], ITER [1290/1674] 
LOSS: 0.00111346, TIME: 17245.0s
STEP [59900], EPOCH [36/100], ITER [1310/1674] 
LOSS: 0.00247783, TIME: 17247.8s
STEP [59920], EPOCH [36/100], ITER [1330/1674] 
LOSS: 0.00152228, TIME: 17250.7s
STEP [59940], EPOCH [36/100], ITER [1350/1674] 
LOSS: 0.00108169, TIME: 17253.6s
STEP [59960], EPOCH [36/100], ITER [1370/1674] 
LOSS: 0.00168190, TIME: 17256.4s
STEP [59980], EPOCH [36/100], ITER [1390/1674] 
LOSS: 0.00284359, TIME: 17259.3s
STEP [60000], EPOCH [36/100], ITER [1410/1674] 
LOSS: 0.00151194, TIME: 17262.2s
STEP [60020], EPOCH [36/100], ITER [1430/1674] 
LOSS: 0.00112684, TIME: 17265.1s
STEP [60040], EPOCH [36/100], ITER [1450/1674] 
LOSS: 0.00162137, TIME: 17268.0s
STEP [60060], EPOCH [36/100], ITER [1470/1674] 
LOSS: 0.00129442, TIME: 17270.9s
STEP [60080], EPOCH [36/100], ITER [1490/1674] 
LOSS: 0.00104671, TIME: 17273.8s
STEP [60100], EPOCH [36/100], ITER [1510/1674] 
LOSS: 0.00120748, TIME: 17276.6s
STEP [60120], EPOCH [36/100], ITER [1530/1674] 
LOSS: 0.00160277, TIME: 17279.5s
STEP [60140], EPOCH [36/100], ITER [1550/1674] 
LOSS: 0.00136463, TIME: 17282.3s
STEP [60160], EPOCH [36/100], ITER [1570/1674] 
LOSS: 0.00116225, TIME: 17285.2s
STEP [60180], EPOCH [36/100], ITER [1590/1674] 
LOSS: 0.00100263, TIME: 17288.1s
STEP [60200], EPOCH [36/100], ITER [1610/1674] 
LOSS: 0.00134016, TIME: 17290.9s
STEP [60220], EPOCH [36/100], ITER [1630/1674] 
LOSS: 0.00119169, TIME: 17293.8s
STEP [60240], EPOCH [36/100], ITER [1650/1674] 
LOSS: 0.00182516, TIME: 17296.7s
STEP [60260], EPOCH [36/100], ITER [1670/1674] 
LOSS: 0.00112042, TIME: 17299.5s
STEP [60280], EPOCH [37/100], ITER [16/1674] 
LOSS: 0.00202385, TIME: 17305.6s
STEP [60300], EPOCH [37/100], ITER [36/1674] 
LOSS: 0.00165034, TIME: 17308.5s
STEP [60320], EPOCH [37/100], ITER [56/1674] 
LOSS: 0.00109036, TIME: 17311.4s
STEP [60340], EPOCH [37/100], ITER [76/1674] 
LOSS: 0.00142678, TIME: 17314.2s
STEP [60360], EPOCH [37/100], ITER [96/1674] 
LOSS: 0.00140195, TIME: 17317.1s
STEP [60380], EPOCH [37/100], ITER [116/1674] 
LOSS: 0.00131976, TIME: 17320.0s
STEP [60400], EPOCH [37/100], ITER [136/1674] 
LOSS: 0.00102827, TIME: 17322.8s
STEP [60420], EPOCH [37/100], ITER [156/1674] 
LOSS: 0.00157828, TIME: 17325.7s
STEP [60440], EPOCH [37/100], ITER [176/1674] 
LOSS: 0.00216703, TIME: 17328.6s
STEP [60460], EPOCH [37/100], ITER [196/1674] 
LOSS: 0.00149210, TIME: 17331.4s
STEP [60480], EPOCH [37/100], ITER [216/1674] 
LOSS: 0.00133528, TIME: 17334.3s
STEP [60500], EPOCH [37/100], ITER [236/1674] 
LOSS: 0.00113984, TIME: 17337.2s
STEP [60520], EPOCH [37/100], ITER [256/1674] 
LOSS: 0.00170608, TIME: 17340.0s
STEP [60540], EPOCH [37/100], ITER [276/1674] 
LOSS: 0.00274931, TIME: 17342.9s
STEP [60560], EPOCH [37/100], ITER [296/1674] 
LOSS: 0.00149774, TIME: 17345.8s
STEP [60580], EPOCH [37/100], ITER [316/1674] 
LOSS: 0.00100678, TIME: 17348.6s
STEP [60600], EPOCH [37/100], ITER [336/1674] 
LOSS: 0.00136719, TIME: 17351.5s
STEP [60620], EPOCH [37/100], ITER [356/1674] 
LOSS: 0.00145812, TIME: 17354.4s
STEP [60640], EPOCH [37/100], ITER [376/1674] 
LOSS: 0.00149267, TIME: 17357.2s
STEP [60660], EPOCH [37/100], ITER [396/1674] 
LOSS: 0.00121263, TIME: 17360.1s
STEP [60680], EPOCH [37/100], ITER [416/1674] 
LOSS: 0.00147291, TIME: 17363.0s
STEP [60700], EPOCH [37/100], ITER [436/1674] 
LOSS: 0.00128807, TIME: 17365.8s
STEP [60720], EPOCH [37/100], ITER [456/1674] 
LOSS: 0.00120505, TIME: 17368.7s
STEP [60740], EPOCH [37/100], ITER [476/1674] 
LOSS: 0.00192071, TIME: 17371.6s
STEP [60760], EPOCH [37/100], ITER [496/1674] 
LOSS: 0.00106390, TIME: 17374.4s
STEP [60780], EPOCH [37/100], ITER [516/1674] 
LOSS: 0.00182505, TIME: 17377.3s
STEP [60800], EPOCH [37/100], ITER [536/1674] 
LOSS: 0.00131155, TIME: 17380.2s
STEP [60820], EPOCH [37/100], ITER [556/1674] 
LOSS: 0.00104178, TIME: 17383.0s
STEP [60840], EPOCH [37/100], ITER [576/1674] 
LOSS: 0.00128517, TIME: 17385.9s
STEP [60860], EPOCH [37/100], ITER [596/1674] 
LOSS: 0.00170355, TIME: 17388.8s
STEP [60880], EPOCH [37/100], ITER [616/1674] 
LOSS: 0.00108433, TIME: 17391.7s
STEP [60900], EPOCH [37/100], ITER [636/1674] 
LOSS: 0.00145540, TIME: 17394.5s
STEP [60920], EPOCH [37/100], ITER [656/1674] 
LOSS: 0.00155890, TIME: 17397.4s
STEP [60940], EPOCH [37/100], ITER [676/1674] 
LOSS: 0.00104391, TIME: 17400.3s
STEP [60960], EPOCH [37/100], ITER [696/1674] 
LOSS: 0.00137685, TIME: 17403.1s
STEP [60980], EPOCH [37/100], ITER [716/1674] 
LOSS: 0.00107798, TIME: 17406.0s
STEP [61000], EPOCH [37/100], ITER [736/1674] 
LOSS: 0.00209419, TIME: 17408.9s
STEP [61020], EPOCH [37/100], ITER [756/1674] 
LOSS: 0.00151994, TIME: 17411.8s
STEP [61040], EPOCH [37/100], ITER [776/1674] 
LOSS: 0.00120304, TIME: 17414.7s
STEP [61060], EPOCH [37/100], ITER [796/1674] 
LOSS: 0.00161577, TIME: 17417.5s
STEP [61080], EPOCH [37/100], ITER [816/1674] 
LOSS: 0.00118430, TIME: 17420.4s
STEP [61100], EPOCH [37/100], ITER [836/1674] 
LOSS: 0.00141832, TIME: 17423.3s
STEP [61120], EPOCH [37/100], ITER [856/1674] 
LOSS: 0.00167761, TIME: 17426.2s
STEP [61140], EPOCH [37/100], ITER [876/1674] 
LOSS: 0.00205413, TIME: 17429.0s
STEP [61160], EPOCH [37/100], ITER [896/1674] 
LOSS: 0.00135199, TIME: 17431.9s
STEP [61180], EPOCH [37/100], ITER [916/1674] 
LOSS: 0.00156254, TIME: 17434.8s
STEP [61200], EPOCH [37/100], ITER [936/1674] 
LOSS: 0.00146806, TIME: 17437.6s
STEP [61220], EPOCH [37/100], ITER [956/1674] 
LOSS: 0.00106951, TIME: 17440.5s
STEP [61240], EPOCH [37/100], ITER [976/1674] 
LOSS: 0.00158183, TIME: 17443.4s
STEP [61260], EPOCH [37/100], ITER [996/1674] 
LOSS: 0.00143836, TIME: 17446.3s
STEP [61280], EPOCH [37/100], ITER [1016/1674] 
LOSS: 0.00191303, TIME: 17449.1s
STEP [61300], EPOCH [37/100], ITER [1036/1674] 
LOSS: 0.00195762, TIME: 17452.0s
STEP [61320], EPOCH [37/100], ITER [1056/1674] 
LOSS: 0.00206284, TIME: 17454.9s
STEP [61340], EPOCH [37/100], ITER [1076/1674] 
LOSS: 0.00127685, TIME: 17457.7s
STEP [61360], EPOCH [37/100], ITER [1096/1674] 
LOSS: 0.00102813, TIME: 17460.6s
STEP [61380], EPOCH [37/100], ITER [1116/1674] 
LOSS: 0.00124673, TIME: 17463.5s
STEP [61400], EPOCH [37/100], ITER [1136/1674] 
LOSS: 0.00174348, TIME: 17466.3s
STEP [61420], EPOCH [37/100], ITER [1156/1674] 
LOSS: 0.00130004, TIME: 17469.2s
STEP [61440], EPOCH [37/100], ITER [1176/1674] 
LOSS: 0.00172331, TIME: 17472.1s
STEP [61460], EPOCH [37/100], ITER [1196/1674] 
LOSS: 0.00111099, TIME: 17475.0s
STEP [61480], EPOCH [37/100], ITER [1216/1674] 
LOSS: 0.00095830, TIME: 17477.8s
STEP [61500], EPOCH [37/100], ITER [1236/1674] 
LOSS: 0.00208340, TIME: 17480.7s
STEP [61520], EPOCH [37/100], ITER [1256/1674] 
LOSS: 0.00167201, TIME: 17483.6s
STEP [61540], EPOCH [37/100], ITER [1276/1674] 
LOSS: 0.00093007, TIME: 17486.4s
STEP [61560], EPOCH [37/100], ITER [1296/1674] 
LOSS: 0.00182179, TIME: 17489.3s
STEP [61580], EPOCH [37/100], ITER [1316/1674] 
LOSS: 0.00122101, TIME: 17492.2s
STEP [61600], EPOCH [37/100], ITER [1336/1674] 
LOSS: 0.00116818, TIME: 17495.0s
STEP [61620], EPOCH [37/100], ITER [1356/1674] 
LOSS: 0.00176416, TIME: 17497.9s
STEP [61640], EPOCH [37/100], ITER [1376/1674] 
LOSS: 0.00133828, TIME: 17500.8s
STEP [61660], EPOCH [37/100], ITER [1396/1674] 
LOSS: 0.00135656, TIME: 17503.6s
STEP [61680], EPOCH [37/100], ITER [1416/1674] 
LOSS: 0.00149800, TIME: 17506.5s
STEP [61700], EPOCH [37/100], ITER [1436/1674] 
LOSS: 0.00208961, TIME: 17509.4s
STEP [61720], EPOCH [37/100], ITER [1456/1674] 
LOSS: 0.00108226, TIME: 17512.3s
STEP [61740], EPOCH [37/100], ITER [1476/1674] 
LOSS: 0.00137356, TIME: 17515.1s
STEP [61760], EPOCH [37/100], ITER [1496/1674] 
LOSS: 0.00134068, TIME: 17518.0s
STEP [61780], EPOCH [37/100], ITER [1516/1674] 
LOSS: 0.00155290, TIME: 17520.9s
STEP [61800], EPOCH [37/100], ITER [1536/1674] 
LOSS: 0.00146146, TIME: 17523.7s
STEP [61820], EPOCH [37/100], ITER [1556/1674] 
LOSS: 0.00091221, TIME: 17526.6s
STEP [61840], EPOCH [37/100], ITER [1576/1674] 
LOSS: 0.00132344, TIME: 17529.5s
STEP [61860], EPOCH [37/100], ITER [1596/1674] 
LOSS: 0.00170775, TIME: 17532.3s
STEP [61880], EPOCH [37/100], ITER [1616/1674] 
LOSS: 0.00151380, TIME: 17535.2s
STEP [61900], EPOCH [37/100], ITER [1636/1674] 
LOSS: 0.00207366, TIME: 17538.1s
STEP [61920], EPOCH [37/100], ITER [1656/1674] 
LOSS: 0.00128203, TIME: 17540.9s
STEP [61940], EPOCH [38/100], ITER [2/1674] 
LOSS: 0.00264808, TIME: 17546.3s
STEP [61960], EPOCH [38/100], ITER [22/1674] 
LOSS: 0.00121509, TIME: 17549.1s
STEP [61980], EPOCH [38/100], ITER [42/1674] 
LOSS: 0.00140518, TIME: 17552.0s
STEP [62000], EPOCH [38/100], ITER [62/1674] 
LOSS: 0.00125341, TIME: 17554.9s
STEP [62020], EPOCH [38/100], ITER [82/1674] 
LOSS: 0.00153638, TIME: 17557.8s
STEP [62040], EPOCH [38/100], ITER [102/1674] 
LOSS: 0.00120741, TIME: 17560.7s
STEP [62060], EPOCH [38/100], ITER [122/1674] 
LOSS: 0.00115402, TIME: 17563.6s
STEP [62080], EPOCH [38/100], ITER [142/1674] 
LOSS: 0.00107431, TIME: 17566.4s
STEP [62100], EPOCH [38/100], ITER [162/1674] 
LOSS: 0.00110728, TIME: 17569.3s
STEP [62120], EPOCH [38/100], ITER [182/1674] 
LOSS: 0.00141382, TIME: 17572.2s
STEP [62140], EPOCH [38/100], ITER [202/1674] 
LOSS: 0.00113815, TIME: 17575.0s
STEP [62160], EPOCH [38/100], ITER [222/1674] 
LOSS: 0.00249551, TIME: 17577.9s
STEP [62180], EPOCH [38/100], ITER [242/1674] 
LOSS: 0.00214808, TIME: 17580.8s
STEP [62200], EPOCH [38/100], ITER [262/1674] 
LOSS: 0.00112851, TIME: 17583.7s
STEP [62220], EPOCH [38/100], ITER [282/1674] 
LOSS: 0.00127250, TIME: 17586.5s
STEP [62240], EPOCH [38/100], ITER [302/1674] 
LOSS: 0.00109825, TIME: 17589.4s
STEP [62260], EPOCH [38/100], ITER [322/1674] 
LOSS: 0.00157766, TIME: 17592.3s
STEP [62280], EPOCH [38/100], ITER [342/1674] 
LOSS: 0.00158949, TIME: 17595.1s
STEP [62300], EPOCH [38/100], ITER [362/1674] 
LOSS: 0.00149434, TIME: 17598.0s
STEP [62320], EPOCH [38/100], ITER [382/1674] 
LOSS: 0.00150719, TIME: 17600.9s
STEP [62340], EPOCH [38/100], ITER [402/1674] 
LOSS: 0.00196496, TIME: 17603.7s
STEP [62360], EPOCH [38/100], ITER [422/1674] 
LOSS: 0.00191410, TIME: 17606.6s
STEP [62380], EPOCH [38/100], ITER [442/1674] 
LOSS: 0.00146456, TIME: 17609.5s
STEP [62400], EPOCH [38/100], ITER [462/1674] 
LOSS: 0.00148107, TIME: 17612.3s
STEP [62420], EPOCH [38/100], ITER [482/1674] 
LOSS: 0.00127323, TIME: 17615.2s
STEP [62440], EPOCH [38/100], ITER [502/1674] 
LOSS: 0.00168254, TIME: 17618.1s
STEP [62460], EPOCH [38/100], ITER [522/1674] 
LOSS: 0.00174563, TIME: 17620.9s
STEP [62480], EPOCH [38/100], ITER [542/1674] 
LOSS: 0.00144497, TIME: 17623.8s
STEP [62500], EPOCH [38/100], ITER [562/1674] 
LOSS: 0.00084744, TIME: 17626.7s
STEP [62520], EPOCH [38/100], ITER [582/1674] 
LOSS: 0.00145994, TIME: 17629.5s
STEP [62540], EPOCH [38/100], ITER [602/1674] 
LOSS: 0.00142607, TIME: 17632.4s
STEP [62560], EPOCH [38/100], ITER [622/1674] 
LOSS: 0.00183847, TIME: 17635.3s
STEP [62580], EPOCH [38/100], ITER [642/1674] 
LOSS: 0.00116898, TIME: 17638.1s
STEP [62600], EPOCH [38/100], ITER [662/1674] 
LOSS: 0.00111173, TIME: 17641.0s
STEP [62620], EPOCH [38/100], ITER [682/1674] 
LOSS: 0.00137884, TIME: 17643.9s
STEP [62640], EPOCH [38/100], ITER [702/1674] 
LOSS: 0.00137066, TIME: 17646.8s
STEP [62660], EPOCH [38/100], ITER [722/1674] 
LOSS: 0.00110111, TIME: 17649.6s
STEP [62680], EPOCH [38/100], ITER [742/1674] 
LOSS: 0.00124075, TIME: 17652.5s
STEP [62700], EPOCH [38/100], ITER [762/1674] 
LOSS: 0.00134422, TIME: 17655.4s
STEP [62720], EPOCH [38/100], ITER [782/1674] 
LOSS: 0.00204880, TIME: 17658.3s
STEP [62740], EPOCH [38/100], ITER [802/1674] 
LOSS: 0.00117110, TIME: 17661.1s
STEP [62760], EPOCH [38/100], ITER [822/1674] 
LOSS: 0.00158327, TIME: 17664.0s
STEP [62780], EPOCH [38/100], ITER [842/1674] 
LOSS: 0.00156702, TIME: 17666.9s
STEP [62800], EPOCH [38/100], ITER [862/1674] 
LOSS: 0.00166189, TIME: 17669.7s
STEP [62820], EPOCH [38/100], ITER [882/1674] 
LOSS: 0.00179427, TIME: 17672.6s
STEP [62840], EPOCH [38/100], ITER [902/1674] 
LOSS: 0.00131695, TIME: 17675.5s
STEP [62860], EPOCH [38/100], ITER [922/1674] 
LOSS: 0.00115211, TIME: 17678.3s
STEP [62880], EPOCH [38/100], ITER [942/1674] 
LOSS: 0.00079259, TIME: 17681.2s
STEP [62900], EPOCH [38/100], ITER [962/1674] 
LOSS: 0.00127855, TIME: 17684.1s
STEP [62920], EPOCH [38/100], ITER [982/1674] 
LOSS: 0.00136055, TIME: 17686.9s
STEP [62940], EPOCH [38/100], ITER [1002/1674] 
LOSS: 0.00129760, TIME: 17689.8s
STEP [62960], EPOCH [38/100], ITER [1022/1674] 
LOSS: 0.00138447, TIME: 17692.7s
STEP [62980], EPOCH [38/100], ITER [1042/1674] 
LOSS: 0.00103894, TIME: 17695.5s
STEP [63000], EPOCH [38/100], ITER [1062/1674] 
LOSS: 0.00278651, TIME: 17698.4s
STEP [63020], EPOCH [38/100], ITER [1082/1674] 
LOSS: 0.00142465, TIME: 17701.4s
STEP [63040], EPOCH [38/100], ITER [1102/1674] 
LOSS: 0.00136447, TIME: 17704.2s
STEP [63060], EPOCH [38/100], ITER [1122/1674] 
LOSS: 0.00128606, TIME: 17707.1s
STEP [63080], EPOCH [38/100], ITER [1142/1674] 
LOSS: 0.00137775, TIME: 17710.0s
STEP [63100], EPOCH [38/100], ITER [1162/1674] 
LOSS: 0.00128066, TIME: 17712.8s
STEP [63120], EPOCH [38/100], ITER [1182/1674] 
LOSS: 0.00241020, TIME: 17715.7s
STEP [63140], EPOCH [38/100], ITER [1202/1674] 
LOSS: 0.00118110, TIME: 17718.6s
STEP [63160], EPOCH [38/100], ITER [1222/1674] 
LOSS: 0.00120709, TIME: 17721.4s
STEP [63180], EPOCH [38/100], ITER [1242/1674] 
LOSS: 0.00102990, TIME: 17724.3s
STEP [63200], EPOCH [38/100], ITER [1262/1674] 
LOSS: 0.00145261, TIME: 17727.2s
STEP [63220], EPOCH [38/100], ITER [1282/1674] 
LOSS: 0.00162417, TIME: 17730.1s
STEP [63240], EPOCH [38/100], ITER [1302/1674] 
LOSS: 0.00110815, TIME: 17732.9s
STEP [63260], EPOCH [38/100], ITER [1322/1674] 
LOSS: 0.00093197, TIME: 17735.8s
STEP [63280], EPOCH [38/100], ITER [1342/1674] 
LOSS: 0.00089253, TIME: 17738.6s
STEP [63300], EPOCH [38/100], ITER [1362/1674] 
LOSS: 0.00157158, TIME: 17741.5s
STEP [63320], EPOCH [38/100], ITER [1382/1674] 
LOSS: 0.00134818, TIME: 17744.4s
STEP [63340], EPOCH [38/100], ITER [1402/1674] 
LOSS: 0.00154611, TIME: 17747.2s
STEP [63360], EPOCH [38/100], ITER [1422/1674] 
LOSS: 0.00176712, TIME: 17750.1s
STEP [63380], EPOCH [38/100], ITER [1442/1674] 
LOSS: 0.00133966, TIME: 17753.0s
STEP [63400], EPOCH [38/100], ITER [1462/1674] 
LOSS: 0.00157271, TIME: 17755.8s
STEP [63420], EPOCH [38/100], ITER [1482/1674] 
LOSS: 0.00119904, TIME: 17758.7s
STEP [63440], EPOCH [38/100], ITER [1502/1674] 
LOSS: 0.00151726, TIME: 17761.6s
STEP [63460], EPOCH [38/100], ITER [1522/1674] 
LOSS: 0.00170776, TIME: 17764.5s
STEP [63480], EPOCH [38/100], ITER [1542/1674] 
LOSS: 0.00121666, TIME: 17767.3s
STEP [63500], EPOCH [38/100], ITER [1562/1674] 
LOSS: 0.00131302, TIME: 17770.2s
STEP [63520], EPOCH [38/100], ITER [1582/1674] 
LOSS: 0.00120059, TIME: 17773.1s
STEP [63540], EPOCH [38/100], ITER [1602/1674] 
LOSS: 0.00093299, TIME: 17775.9s
STEP [63560], EPOCH [38/100], ITER [1622/1674] 
LOSS: 0.00130791, TIME: 17778.8s
STEP [63580], EPOCH [38/100], ITER [1642/1674] 
LOSS: 0.00118662, TIME: 17781.7s
STEP [63600], EPOCH [38/100], ITER [1662/1674] 
LOSS: 0.00118801, TIME: 17784.5s
STEP [63620], EPOCH [39/100], ITER [8/1674] 
LOSS: 0.00228573, TIME: 17790.0s
STEP [63640], EPOCH [39/100], ITER [28/1674] 
LOSS: 0.00112210, TIME: 17792.9s
STEP [63660], EPOCH [39/100], ITER [48/1674] 
LOSS: 0.00144540, TIME: 17795.8s
STEP [63680], EPOCH [39/100], ITER [68/1674] 
LOSS: 0.00174867, TIME: 17798.6s
STEP [63700], EPOCH [39/100], ITER [88/1674] 
LOSS: 0.00120426, TIME: 17801.5s
STEP [63720], EPOCH [39/100], ITER [108/1674] 
LOSS: 0.00224159, TIME: 17804.4s
STEP [63740], EPOCH [39/100], ITER [128/1674] 
LOSS: 0.00148917, TIME: 17807.3s
STEP [63760], EPOCH [39/100], ITER [148/1674] 
LOSS: 0.00119780, TIME: 17810.1s
STEP [63780], EPOCH [39/100], ITER [168/1674] 
LOSS: 0.00119671, TIME: 17813.0s
STEP [63800], EPOCH [39/100], ITER [188/1674] 
LOSS: 0.00120694, TIME: 17815.9s
STEP [63820], EPOCH [39/100], ITER [208/1674] 
LOSS: 0.00106247, TIME: 17818.7s
STEP [63840], EPOCH [39/100], ITER [228/1674] 
LOSS: 0.00131381, TIME: 17821.6s
STEP [63860], EPOCH [39/100], ITER [248/1674] 
LOSS: 0.00217269, TIME: 17824.5s
STEP [63880], EPOCH [39/100], ITER [268/1674] 
LOSS: 0.00153610, TIME: 17827.3s
STEP [63900], EPOCH [39/100], ITER [288/1674] 
LOSS: 0.00193093, TIME: 17830.2s
STEP [63920], EPOCH [39/100], ITER [308/1674] 
LOSS: 0.00101468, TIME: 17833.1s
STEP [63940], EPOCH [39/100], ITER [328/1674] 
LOSS: 0.00132799, TIME: 17835.9s
STEP [63960], EPOCH [39/100], ITER [348/1674] 
LOSS: 0.00104382, TIME: 17838.8s
STEP [63980], EPOCH [39/100], ITER [368/1674] 
LOSS: 0.00180742, TIME: 17841.7s
STEP [64000], EPOCH [39/100], ITER [388/1674] 
LOSS: 0.00133337, TIME: 17844.5s
STEP [64020], EPOCH [39/100], ITER [408/1674] 
LOSS: 0.00182263, TIME: 17847.5s
STEP [64040], EPOCH [39/100], ITER [428/1674] 
LOSS: 0.00124988, TIME: 17850.4s
STEP [64060], EPOCH [39/100], ITER [448/1674] 
LOSS: 0.00102151, TIME: 17853.2s
STEP [64080], EPOCH [39/100], ITER [468/1674] 
LOSS: 0.00107836, TIME: 17856.1s
STEP [64100], EPOCH [39/100], ITER [488/1674] 
LOSS: 0.00133195, TIME: 17859.0s
STEP [64120], EPOCH [39/100], ITER [508/1674] 
LOSS: 0.00155431, TIME: 17861.9s
STEP [64140], EPOCH [39/100], ITER [528/1674] 
LOSS: 0.00118417, TIME: 17864.7s
STEP [64160], EPOCH [39/100], ITER [548/1674] 
LOSS: 0.00238145, TIME: 17867.6s
STEP [64180], EPOCH [39/100], ITER [568/1674] 
LOSS: 0.00166704, TIME: 17870.5s
STEP [64200], EPOCH [39/100], ITER [588/1674] 
LOSS: 0.00161964, TIME: 17873.3s
STEP [64220], EPOCH [39/100], ITER [608/1674] 
LOSS: 0.00121791, TIME: 17876.2s
STEP [64240], EPOCH [39/100], ITER [628/1674] 
LOSS: 0.00117945, TIME: 17879.1s
STEP [64260], EPOCH [39/100], ITER [648/1674] 
LOSS: 0.00127843, TIME: 17881.9s
STEP [64280], EPOCH [39/100], ITER [668/1674] 
LOSS: 0.00169800, TIME: 17884.8s
STEP [64300], EPOCH [39/100], ITER [688/1674] 
LOSS: 0.00135345, TIME: 17887.7s
STEP [64320], EPOCH [39/100], ITER [708/1674] 
LOSS: 0.00210865, TIME: 17890.5s
STEP [64340], EPOCH [39/100], ITER [728/1674] 
LOSS: 0.00134264, TIME: 17893.4s
STEP [64360], EPOCH [39/100], ITER [748/1674] 
LOSS: 0.00153529, TIME: 17896.3s
STEP [64380], EPOCH [39/100], ITER [768/1674] 
LOSS: 0.00120317, TIME: 17899.2s
STEP [64400], EPOCH [39/100], ITER [788/1674] 
LOSS: 0.00137301, TIME: 17902.0s
STEP [64420], EPOCH [39/100], ITER [808/1674] 
LOSS: 0.00106467, TIME: 17904.9s
STEP [64440], EPOCH [39/100], ITER [828/1674] 
LOSS: 0.00159300, TIME: 17907.8s
STEP [64460], EPOCH [39/100], ITER [848/1674] 
LOSS: 0.00160988, TIME: 17910.6s
STEP [64480], EPOCH [39/100], ITER [868/1674] 
LOSS: 0.00124919, TIME: 17913.5s
STEP [64500], EPOCH [39/100], ITER [888/1674] 
LOSS: 0.00174918, TIME: 17916.4s
STEP [64520], EPOCH [39/100], ITER [908/1674] 
LOSS: 0.00121891, TIME: 17919.2s
STEP [64540], EPOCH [39/100], ITER [928/1674] 
LOSS: 0.00123168, TIME: 17922.1s
STEP [64560], EPOCH [39/100], ITER [948/1674] 
LOSS: 0.00123329, TIME: 17925.0s
STEP [64580], EPOCH [39/100], ITER [968/1674] 
LOSS: 0.00128417, TIME: 17927.8s
STEP [64600], EPOCH [39/100], ITER [988/1674] 
LOSS: 0.00116000, TIME: 17930.7s
STEP [64620], EPOCH [39/100], ITER [1008/1674] 
LOSS: 0.00121832, TIME: 17933.6s
STEP [64640], EPOCH [39/100], ITER [1028/1674] 
LOSS: 0.00193413, TIME: 17936.4s
STEP [64660], EPOCH [39/100], ITER [1048/1674] 
LOSS: 0.00146638, TIME: 17939.3s
STEP [64680], EPOCH [39/100], ITER [1068/1674] 
LOSS: 0.00167988, TIME: 17942.2s
STEP [64700], EPOCH [39/100], ITER [1088/1674] 
LOSS: 0.00189681, TIME: 17945.0s
STEP [64720], EPOCH [39/100], ITER [1108/1674] 
LOSS: 0.00139581, TIME: 17947.9s
STEP [64740], EPOCH [39/100], ITER [1128/1674] 
LOSS: 0.00159073, TIME: 17950.8s
STEP [64760], EPOCH [39/100], ITER [1148/1674] 
LOSS: 0.00124919, TIME: 17953.7s
STEP [64780], EPOCH [39/100], ITER [1168/1674] 
LOSS: 0.00217609, TIME: 17956.5s
STEP [64800], EPOCH [39/100], ITER [1188/1674] 
LOSS: 0.00145468, TIME: 17959.4s
STEP [64820], EPOCH [39/100], ITER [1208/1674] 
LOSS: 0.00188645, TIME: 17962.3s
STEP [64840], EPOCH [39/100], ITER [1228/1674] 
LOSS: 0.00090403, TIME: 17965.1s
STEP [64860], EPOCH [39/100], ITER [1248/1674] 
LOSS: 0.00178232, TIME: 17968.0s
STEP [64880], EPOCH [39/100], ITER [1268/1674] 
LOSS: 0.00084675, TIME: 17970.9s
STEP [64900], EPOCH [39/100], ITER [1288/1674] 
LOSS: 0.00388503, TIME: 17973.7s
STEP [64920], EPOCH [39/100], ITER [1308/1674] 
LOSS: 0.00165305, TIME: 17976.6s
STEP [64940], EPOCH [39/100], ITER [1328/1674] 
LOSS: 0.00101242, TIME: 17979.5s
STEP [64960], EPOCH [39/100], ITER [1348/1674] 
LOSS: 0.00149496, TIME: 17982.3s
STEP [64980], EPOCH [39/100], ITER [1368/1674] 
LOSS: 0.00128906, TIME: 17985.2s
STEP [65000], EPOCH [39/100], ITER [1388/1674] 
LOSS: 0.00106084, TIME: 17988.1s
STEP [65020], EPOCH [39/100], ITER [1408/1674] 
LOSS: 0.00201455, TIME: 17991.0s
STEP [65040], EPOCH [39/100], ITER [1428/1674] 
LOSS: 0.00131753, TIME: 17993.9s
STEP [65060], EPOCH [39/100], ITER [1448/1674] 
LOSS: 0.00096351, TIME: 17996.8s
STEP [65080], EPOCH [39/100], ITER [1468/1674] 
LOSS: 0.00103568, TIME: 17999.6s
STEP [65100], EPOCH [39/100], ITER [1488/1674] 
LOSS: 0.00299678, TIME: 18002.5s
STEP [65120], EPOCH [39/100], ITER [1508/1674] 
LOSS: 0.00124376, TIME: 18005.4s
STEP [65140], EPOCH [39/100], ITER [1528/1674] 
LOSS: 0.00168503, TIME: 18008.3s
STEP [65160], EPOCH [39/100], ITER [1548/1674] 
LOSS: 0.00180354, TIME: 18011.1s
STEP [65180], EPOCH [39/100], ITER [1568/1674] 
LOSS: 0.00192565, TIME: 18014.0s
STEP [65200], EPOCH [39/100], ITER [1588/1674] 
LOSS: 0.00106159, TIME: 18016.9s
STEP [65220], EPOCH [39/100], ITER [1608/1674] 
LOSS: 0.00130500, TIME: 18019.7s
STEP [65240], EPOCH [39/100], ITER [1628/1674] 
LOSS: 0.00189552, TIME: 18022.6s
STEP [65260], EPOCH [39/100], ITER [1648/1674] 
LOSS: 0.00144018, TIME: 18025.5s
STEP [65280], EPOCH [39/100], ITER [1668/1674] 
LOSS: 0.00122508, TIME: 18028.3s
STEP [65300], EPOCH [40/100], ITER [14/1674] 
LOSS: 0.00091593, TIME: 18033.5s
STEP [65320], EPOCH [40/100], ITER [34/1674] 
LOSS: 0.00120928, TIME: 18036.4s
STEP [65340], EPOCH [40/100], ITER [54/1674] 
LOSS: 0.00111030, TIME: 18039.2s
STEP [65360], EPOCH [40/100], ITER [74/1674] 
LOSS: 0.00173798, TIME: 18042.1s
STEP [65380], EPOCH [40/100], ITER [94/1674] 
LOSS: 0.00123413, TIME: 18045.0s
STEP [65400], EPOCH [40/100], ITER [114/1674] 
LOSS: 0.00174891, TIME: 18047.8s
STEP [65420], EPOCH [40/100], ITER [134/1674] 
LOSS: 0.00127872, TIME: 18050.7s
STEP [65440], EPOCH [40/100], ITER [154/1674] 
LOSS: 0.00119191, TIME: 18053.6s
STEP [65460], EPOCH [40/100], ITER [174/1674] 
LOSS: 0.00157910, TIME: 18056.4s
STEP [65480], EPOCH [40/100], ITER [194/1674] 
LOSS: 0.00087568, TIME: 18059.3s
STEP [65500], EPOCH [40/100], ITER [214/1674] 
LOSS: 0.00096727, TIME: 18062.2s
STEP [65520], EPOCH [40/100], ITER [234/1674] 
LOSS: 0.00170637, TIME: 18065.0s
STEP [65540], EPOCH [40/100], ITER [254/1674] 
LOSS: 0.00113359, TIME: 18067.9s
STEP [65560], EPOCH [40/100], ITER [274/1674] 
LOSS: 0.00088126, TIME: 18070.8s
STEP [65580], EPOCH [40/100], ITER [294/1674] 
LOSS: 0.00167127, TIME: 18073.6s
STEP [65600], EPOCH [40/100], ITER [314/1674] 
LOSS: 0.00106402, TIME: 18076.5s
STEP [65620], EPOCH [40/100], ITER [334/1674] 
LOSS: 0.00154713, TIME: 18079.4s
STEP [65640], EPOCH [40/100], ITER [354/1674] 
LOSS: 0.00149891, TIME: 18082.2s
STEP [65660], EPOCH [40/100], ITER [374/1674] 
LOSS: 0.00216950, TIME: 18085.1s
STEP [65680], EPOCH [40/100], ITER [394/1674] 
LOSS: 0.00157796, TIME: 18088.0s
STEP [65700], EPOCH [40/100], ITER [414/1674] 
LOSS: 0.00153557, TIME: 18090.8s
STEP [65720], EPOCH [40/100], ITER [434/1674] 
LOSS: 0.00132270, TIME: 18093.7s
STEP [65740], EPOCH [40/100], ITER [454/1674] 
LOSS: 0.00098670, TIME: 18096.6s
STEP [65760], EPOCH [40/100], ITER [474/1674] 
LOSS: 0.00127261, TIME: 18099.4s
STEP [65780], EPOCH [40/100], ITER [494/1674] 
LOSS: 0.00163686, TIME: 18102.3s
STEP [65800], EPOCH [40/100], ITER [514/1674] 
LOSS: 0.00112303, TIME: 18105.2s
STEP [65820], EPOCH [40/100], ITER [534/1674] 
LOSS: 0.00084590, TIME: 18108.0s
STEP [65840], EPOCH [40/100], ITER [554/1674] 
LOSS: 0.00126684, TIME: 18110.9s
STEP [65860], EPOCH [40/100], ITER [574/1674] 
LOSS: 0.00203198, TIME: 18113.8s
STEP [65880], EPOCH [40/100], ITER [594/1674] 
LOSS: 0.00103789, TIME: 18116.7s
STEP [65900], EPOCH [40/100], ITER [614/1674] 
LOSS: 0.00117729, TIME: 18119.5s
STEP [65920], EPOCH [40/100], ITER [634/1674] 
LOSS: 0.00098111, TIME: 18122.4s
STEP [65940], EPOCH [40/100], ITER [654/1674] 
LOSS: 0.00122250, TIME: 18125.3s
STEP [65960], EPOCH [40/100], ITER [674/1674] 
LOSS: 0.00148133, TIME: 18128.1s
STEP [65980], EPOCH [40/100], ITER [694/1674] 
LOSS: 0.00114886, TIME: 18131.0s
STEP [66000], EPOCH [40/100], ITER [714/1674] 
LOSS: 0.00144285, TIME: 18133.9s
STEP [66020], EPOCH [40/100], ITER [734/1674] 
LOSS: 0.00179658, TIME: 18136.8s
STEP [66040], EPOCH [40/100], ITER [754/1674] 
LOSS: 0.00121729, TIME: 18139.7s
STEP [66060], EPOCH [40/100], ITER [774/1674] 
LOSS: 0.00179654, TIME: 18142.6s
STEP [66080], EPOCH [40/100], ITER [794/1674] 
LOSS: 0.00126746, TIME: 18145.4s
STEP [66100], EPOCH [40/100], ITER [814/1674] 
LOSS: 0.00182417, TIME: 18148.3s
STEP [66120], EPOCH [40/100], ITER [834/1674] 
LOSS: 0.00160641, TIME: 18151.2s
STEP [66140], EPOCH [40/100], ITER [854/1674] 
LOSS: 0.00247720, TIME: 18154.0s
STEP [66160], EPOCH [40/100], ITER [874/1674] 
LOSS: 0.00115443, TIME: 18156.9s
STEP [66180], EPOCH [40/100], ITER [894/1674] 
LOSS: 0.00093356, TIME: 18159.8s
STEP [66200], EPOCH [40/100], ITER [914/1674] 
LOSS: 0.00085441, TIME: 18162.6s
STEP [66220], EPOCH [40/100], ITER [934/1674] 
LOSS: 0.00185423, TIME: 18165.5s
STEP [66240], EPOCH [40/100], ITER [954/1674] 
LOSS: 0.00115462, TIME: 18168.4s
STEP [66260], EPOCH [40/100], ITER [974/1674] 
LOSS: 0.00107335, TIME: 18171.3s
STEP [66280], EPOCH [40/100], ITER [994/1674] 
LOSS: 0.00156416, TIME: 18174.1s
STEP [66300], EPOCH [40/100], ITER [1014/1674] 
LOSS: 0.00135844, TIME: 18177.0s
STEP [66320], EPOCH [40/100], ITER [1034/1674] 
LOSS: 0.00124908, TIME: 18179.9s
STEP [66340], EPOCH [40/100], ITER [1054/1674] 
LOSS: 0.00123411, TIME: 18182.7s
STEP [66360], EPOCH [40/100], ITER [1074/1674] 
LOSS: 0.00106253, TIME: 18185.6s
STEP [66380], EPOCH [40/100], ITER [1094/1674] 
LOSS: 0.00108367, TIME: 18188.5s
STEP [66400], EPOCH [40/100], ITER [1114/1674] 
LOSS: 0.00224260, TIME: 18191.3s
STEP [66420], EPOCH [40/100], ITER [1134/1674] 
LOSS: 0.00121513, TIME: 18194.2s
STEP [66440], EPOCH [40/100], ITER [1154/1674] 
LOSS: 0.00129743, TIME: 18197.1s
STEP [66460], EPOCH [40/100], ITER [1174/1674] 
LOSS: 0.00221705, TIME: 18199.9s
STEP [66480], EPOCH [40/100], ITER [1194/1674] 
LOSS: 0.00127863, TIME: 18202.8s
STEP [66500], EPOCH [40/100], ITER [1214/1674] 
LOSS: 0.00112913, TIME: 18205.7s
STEP [66520], EPOCH [40/100], ITER [1234/1674] 
LOSS: 0.00160602, TIME: 18208.5s
STEP [66540], EPOCH [40/100], ITER [1254/1674] 
LOSS: 0.00117139, TIME: 18211.4s
STEP [66560], EPOCH [40/100], ITER [1274/1674] 
LOSS: 0.00131937, TIME: 18214.3s
STEP [66580], EPOCH [40/100], ITER [1294/1674] 
LOSS: 0.00139444, TIME: 18217.1s
STEP [66600], EPOCH [40/100], ITER [1314/1674] 
LOSS: 0.00097380, TIME: 18220.0s
STEP [66620], EPOCH [40/100], ITER [1334/1674] 
LOSS: 0.00141379, TIME: 18222.9s
STEP [66640], EPOCH [40/100], ITER [1354/1674] 
LOSS: 0.00274003, TIME: 18225.7s
STEP [66660], EPOCH [40/100], ITER [1374/1674] 
LOSS: 0.00107978, TIME: 18228.6s
STEP [66680], EPOCH [40/100], ITER [1394/1674] 
LOSS: 0.00125028, TIME: 18231.5s
STEP [66700], EPOCH [40/100], ITER [1414/1674] 
LOSS: 0.00159096, TIME: 18234.3s
STEP [66720], EPOCH [40/100], ITER [1434/1674] 
LOSS: 0.00093351, TIME: 18237.2s
STEP [66740], EPOCH [40/100], ITER [1454/1674] 
LOSS: 0.00094351, TIME: 18240.1s
STEP [66760], EPOCH [40/100], ITER [1474/1674] 
LOSS: 0.00202456, TIME: 18242.9s
STEP [66780], EPOCH [40/100], ITER [1494/1674] 
LOSS: 0.00140653, TIME: 18245.8s
STEP [66800], EPOCH [40/100], ITER [1514/1674] 
LOSS: 0.00115622, TIME: 18248.7s
STEP [66820], EPOCH [40/100], ITER [1534/1674] 
LOSS: 0.00147356, TIME: 18251.5s
STEP [66840], EPOCH [40/100], ITER [1554/1674] 
LOSS: 0.00131490, TIME: 18254.4s
STEP [66860], EPOCH [40/100], ITER [1574/1674] 
LOSS: 0.00161931, TIME: 18257.3s
STEP [66880], EPOCH [40/100], ITER [1594/1674] 
LOSS: 0.00141479, TIME: 18260.2s
STEP [66900], EPOCH [40/100], ITER [1614/1674] 
LOSS: 0.00126678, TIME: 18263.0s
STEP [66920], EPOCH [40/100], ITER [1634/1674] 
LOSS: 0.00134420, TIME: 18265.9s
STEP [66940], EPOCH [40/100], ITER [1654/1674] 
LOSS: 0.00117502, TIME: 18268.8s
STEP [66960], EPOCH [40/100], ITER [1674/1674] 
LOSS: 0.00104035, TIME: 18271.6s
STEP [66980], EPOCH [41/100], ITER [20/1674] 
LOSS: 0.00134500, TIME: 18277.2s
STEP [67000], EPOCH [41/100], ITER [40/1674] 
LOSS: 0.00165112, TIME: 18280.0s
STEP [67020], EPOCH [41/100], ITER [60/1674] 
LOSS: 0.00176932, TIME: 18283.0s
STEP [67040], EPOCH [41/100], ITER [80/1674] 
LOSS: 0.00158292, TIME: 18285.9s
STEP [67060], EPOCH [41/100], ITER [100/1674] 
LOSS: 0.00182463, TIME: 18288.7s
STEP [67080], EPOCH [41/100], ITER [120/1674] 
LOSS: 0.00102485, TIME: 18291.6s
STEP [67100], EPOCH [41/100], ITER [140/1674] 
LOSS: 0.00185677, TIME: 18294.5s
STEP [67120], EPOCH [41/100], ITER [160/1674] 
LOSS: 0.00155954, TIME: 18297.3s
STEP [67140], EPOCH [41/100], ITER [180/1674] 
LOSS: 0.00139807, TIME: 18300.2s
STEP [67160], EPOCH [41/100], ITER [200/1674] 
LOSS: 0.00162221, TIME: 18303.1s
STEP [67180], EPOCH [41/100], ITER [220/1674] 
LOSS: 0.00186693, TIME: 18305.9s
STEP [67200], EPOCH [41/100], ITER [240/1674] 
LOSS: 0.00106431, TIME: 18308.8s
STEP [67220], EPOCH [41/100], ITER [260/1674] 
LOSS: 0.00111931, TIME: 18311.7s
STEP [67240], EPOCH [41/100], ITER [280/1674] 
LOSS: 0.00149643, TIME: 18314.5s
STEP [67260], EPOCH [41/100], ITER [300/1674] 
LOSS: 0.00123321, TIME: 18317.4s
STEP [67280], EPOCH [41/100], ITER [320/1674] 
LOSS: 0.00148310, TIME: 18320.3s
STEP [67300], EPOCH [41/100], ITER [340/1674] 
LOSS: 0.00127397, TIME: 18323.1s
STEP [67320], EPOCH [41/100], ITER [360/1674] 
LOSS: 0.00170084, TIME: 18326.0s
STEP [67340], EPOCH [41/100], ITER [380/1674] 
LOSS: 0.00129134, TIME: 18328.9s
STEP [67360], EPOCH [41/100], ITER [400/1674] 
LOSS: 0.00208685, TIME: 18331.8s
STEP [67380], EPOCH [41/100], ITER [420/1674] 
LOSS: 0.00149357, TIME: 18334.6s
STEP [67400], EPOCH [41/100], ITER [440/1674] 
LOSS: 0.00188713, TIME: 18337.5s
STEP [67420], EPOCH [41/100], ITER [460/1674] 
LOSS: 0.00124979, TIME: 18340.4s
STEP [67440], EPOCH [41/100], ITER [480/1674] 
LOSS: 0.00186401, TIME: 18343.2s
STEP [67460], EPOCH [41/100], ITER [500/1674] 
LOSS: 0.00161412, TIME: 18346.1s
STEP [67480], EPOCH [41/100], ITER [520/1674] 
LOSS: 0.00101323, TIME: 18349.0s
STEP [67500], EPOCH [41/100], ITER [540/1674] 
LOSS: 0.00113091, TIME: 18351.9s
STEP [67520], EPOCH [41/100], ITER [560/1674] 
LOSS: 0.00169173, TIME: 18354.7s
STEP [67540], EPOCH [41/100], ITER [580/1674] 
LOSS: 0.00132253, TIME: 18357.6s
STEP [67560], EPOCH [41/100], ITER [600/1674] 
LOSS: 0.00140841, TIME: 18360.5s
STEP [67580], EPOCH [41/100], ITER [620/1674] 
LOSS: 0.00093437, TIME: 18363.3s
STEP [67600], EPOCH [41/100], ITER [640/1674] 
LOSS: 0.00106918, TIME: 18366.2s
STEP [67620], EPOCH [41/100], ITER [660/1674] 
LOSS: 0.00099353, TIME: 18369.1s
STEP [67640], EPOCH [41/100], ITER [680/1674] 
LOSS: 0.00168903, TIME: 18372.0s
STEP [67660], EPOCH [41/100], ITER [700/1674] 
LOSS: 0.00113485, TIME: 18374.8s
STEP [67680], EPOCH [41/100], ITER [720/1674] 
LOSS: 0.00135962, TIME: 18377.7s
STEP [67700], EPOCH [41/100], ITER [740/1674] 
LOSS: 0.00182468, TIME: 18380.6s
STEP [67720], EPOCH [41/100], ITER [760/1674] 
LOSS: 0.00168163, TIME: 18383.4s
STEP [67740], EPOCH [41/100], ITER [780/1674] 
LOSS: 0.00134461, TIME: 18386.3s
STEP [67760], EPOCH [41/100], ITER [800/1674] 
LOSS: 0.00115330, TIME: 18389.2s
STEP [67780], EPOCH [41/100], ITER [820/1674] 
LOSS: 0.00104078, TIME: 18392.0s
STEP [67800], EPOCH [41/100], ITER [840/1674] 
LOSS: 0.00175357, TIME: 18394.9s
STEP [67820], EPOCH [41/100], ITER [860/1674] 
LOSS: 0.00137900, TIME: 18397.8s
STEP [67840], EPOCH [41/100], ITER [880/1674] 
LOSS: 0.00117289, TIME: 18400.6s
STEP [67860], EPOCH [41/100], ITER [900/1674] 
LOSS: 0.00265269, TIME: 18403.5s
STEP [67880], EPOCH [41/100], ITER [920/1674] 
LOSS: 0.00160879, TIME: 18406.4s
STEP [67900], EPOCH [41/100], ITER [940/1674] 
LOSS: 0.00133359, TIME: 18409.3s
STEP [67920], EPOCH [41/100], ITER [960/1674] 
LOSS: 0.00151692, TIME: 18412.1s
STEP [67940], EPOCH [41/100], ITER [980/1674] 
LOSS: 0.00181867, TIME: 18415.0s
STEP [67960], EPOCH [41/100], ITER [1000/1674] 
LOSS: 0.00127408, TIME: 18417.9s
STEP [67980], EPOCH [41/100], ITER [1020/1674] 
LOSS: 0.00197258, TIME: 18420.8s
STEP [68000], EPOCH [41/100], ITER [1040/1674] 
LOSS: 0.00135198, TIME: 18423.6s
STEP [68020], EPOCH [41/100], ITER [1060/1674] 
LOSS: 0.00193526, TIME: 18426.6s
STEP [68040], EPOCH [41/100], ITER [1080/1674] 
LOSS: 0.00139830, TIME: 18429.5s
STEP [68060], EPOCH [41/100], ITER [1100/1674] 
LOSS: 0.00113472, TIME: 18432.3s
STEP [68080], EPOCH [41/100], ITER [1120/1674] 
LOSS: 0.00196383, TIME: 18435.2s
STEP [68100], EPOCH [41/100], ITER [1140/1674] 
LOSS: 0.00126023, TIME: 18438.1s
STEP [68120], EPOCH [41/100], ITER [1160/1674] 
LOSS: 0.00121707, TIME: 18440.9s
STEP [68140], EPOCH [41/100], ITER [1180/1674] 
LOSS: 0.00251148, TIME: 18443.8s
STEP [68160], EPOCH [41/100], ITER [1200/1674] 
LOSS: 0.00088268, TIME: 18446.7s
STEP [68180], EPOCH [41/100], ITER [1220/1674] 
LOSS: 0.00104704, TIME: 18449.5s
STEP [68200], EPOCH [41/100], ITER [1240/1674] 
LOSS: 0.00173738, TIME: 18452.4s
STEP [68220], EPOCH [41/100], ITER [1260/1674] 
LOSS: 0.00144705, TIME: 18455.3s
STEP [68240], EPOCH [41/100], ITER [1280/1674] 
LOSS: 0.00188280, TIME: 18458.1s
STEP [68260], EPOCH [41/100], ITER [1300/1674] 
LOSS: 0.00119014, TIME: 18461.0s
STEP [68280], EPOCH [41/100], ITER [1320/1674] 
LOSS: 0.00113012, TIME: 18463.9s
STEP [68300], EPOCH [41/100], ITER [1340/1674] 
LOSS: 0.00099240, TIME: 18466.7s
STEP [68320], EPOCH [41/100], ITER [1360/1674] 
LOSS: 0.00139323, TIME: 18469.6s
STEP [68340], EPOCH [41/100], ITER [1380/1674] 
LOSS: 0.00168569, TIME: 18472.5s
STEP [68360], EPOCH [41/100], ITER [1400/1674] 
LOSS: 0.00154318, TIME: 18475.3s
STEP [68380], EPOCH [41/100], ITER [1420/1674] 
LOSS: 0.00132619, TIME: 18478.2s
STEP [68400], EPOCH [41/100], ITER [1440/1674] 
LOSS: 0.00123250, TIME: 18481.1s
STEP [68420], EPOCH [41/100], ITER [1460/1674] 
LOSS: 0.00146016, TIME: 18483.9s
STEP [68440], EPOCH [41/100], ITER [1480/1674] 
LOSS: 0.00160597, TIME: 18486.8s
STEP [68460], EPOCH [41/100], ITER [1500/1674] 
LOSS: 0.00123404, TIME: 18489.7s
STEP [68480], EPOCH [41/100], ITER [1520/1674] 
LOSS: 0.00096582, TIME: 18492.6s
STEP [68500], EPOCH [41/100], ITER [1540/1674] 
LOSS: 0.00078130, TIME: 18495.4s
STEP [68520], EPOCH [41/100], ITER [1560/1674] 
LOSS: 0.00095223, TIME: 18498.3s
STEP [68540], EPOCH [41/100], ITER [1580/1674] 
LOSS: 0.00128882, TIME: 18501.2s
STEP [68560], EPOCH [41/100], ITER [1600/1674] 
LOSS: 0.00137779, TIME: 18504.0s
STEP [68580], EPOCH [41/100], ITER [1620/1674] 
LOSS: 0.00141608, TIME: 18506.9s
STEP [68600], EPOCH [41/100], ITER [1640/1674] 
LOSS: 0.00193695, TIME: 18509.8s
STEP [68620], EPOCH [41/100], ITER [1660/1674] 
LOSS: 0.00118674, TIME: 18512.6s
STEP [68640], EPOCH [42/100], ITER [6/1674] 
LOSS: 0.00133620, TIME: 18517.9s
STEP [68660], EPOCH [42/100], ITER [26/1674] 
LOSS: 0.00118037, TIME: 18520.8s
STEP [68680], EPOCH [42/100], ITER [46/1674] 
LOSS: 0.00166552, TIME: 18523.7s
STEP [68700], EPOCH [42/100], ITER [66/1674] 
LOSS: 0.00096530, TIME: 18526.5s
STEP [68720], EPOCH [42/100], ITER [86/1674] 
LOSS: 0.00115166, TIME: 18529.4s
STEP [68740], EPOCH [42/100], ITER [106/1674] 
LOSS: 0.00134283, TIME: 18532.3s
STEP [68760], EPOCH [42/100], ITER [126/1674] 
LOSS: 0.00116075, TIME: 18535.1s
STEP [68780], EPOCH [42/100], ITER [146/1674] 
LOSS: 0.00117194, TIME: 18538.0s
STEP [68800], EPOCH [42/100], ITER [166/1674] 
LOSS: 0.00268988, TIME: 18540.9s
STEP [68820], EPOCH [42/100], ITER [186/1674] 
LOSS: 0.00086399, TIME: 18543.7s
STEP [68840], EPOCH [42/100], ITER [206/1674] 
LOSS: 0.00153928, TIME: 18546.6s
STEP [68860], EPOCH [42/100], ITER [226/1674] 
LOSS: 0.00157427, TIME: 18549.5s
STEP [68880], EPOCH [42/100], ITER [246/1674] 
LOSS: 0.00119162, TIME: 18552.3s
STEP [68900], EPOCH [42/100], ITER [266/1674] 
LOSS: 0.00124300, TIME: 18555.2s
STEP [68920], EPOCH [42/100], ITER [286/1674] 
LOSS: 0.00128290, TIME: 18558.1s
STEP [68940], EPOCH [42/100], ITER [306/1674] 
LOSS: 0.00117843, TIME: 18560.9s
STEP [68960], EPOCH [42/100], ITER [326/1674] 
LOSS: 0.00121230, TIME: 18563.8s
STEP [68980], EPOCH [42/100], ITER [346/1674] 
LOSS: 0.00195390, TIME: 18566.7s
STEP [69000], EPOCH [42/100], ITER [366/1674] 
LOSS: 0.00138311, TIME: 18569.5s
STEP [69020], EPOCH [42/100], ITER [386/1674] 
LOSS: 0.00102779, TIME: 18572.5s
STEP [69040], EPOCH [42/100], ITER [406/1674] 
LOSS: 0.00162650, TIME: 18575.4s
STEP [69060], EPOCH [42/100], ITER [426/1674] 
LOSS: 0.00146554, TIME: 18578.2s
STEP [69080], EPOCH [42/100], ITER [446/1674] 
LOSS: 0.00081642, TIME: 18581.1s
STEP [69100], EPOCH [42/100], ITER [466/1674] 
LOSS: 0.00124258, TIME: 18584.0s
STEP [69120], EPOCH [42/100], ITER [486/1674] 
LOSS: 0.00303197, TIME: 18586.8s
STEP [69140], EPOCH [42/100], ITER [506/1674] 
LOSS: 0.00167373, TIME: 18589.7s
STEP [69160], EPOCH [42/100], ITER [526/1674] 
LOSS: 0.00138854, TIME: 18592.6s
STEP [69180], EPOCH [42/100], ITER [546/1674] 
LOSS: 0.00111913, TIME: 18595.5s
STEP [69200], EPOCH [42/100], ITER [566/1674] 
LOSS: 0.00133347, TIME: 18598.3s
STEP [69220], EPOCH [42/100], ITER [586/1674] 
LOSS: 0.00137010, TIME: 18601.2s
STEP [69240], EPOCH [42/100], ITER [606/1674] 
LOSS: 0.00084821, TIME: 18604.1s
STEP [69260], EPOCH [42/100], ITER [626/1674] 
LOSS: 0.00247848, TIME: 18606.9s
STEP [69280], EPOCH [42/100], ITER [646/1674] 
LOSS: 0.00191939, TIME: 18609.8s
STEP [69300], EPOCH [42/100], ITER [666/1674] 
LOSS: 0.00224762, TIME: 18612.7s
STEP [69320], EPOCH [42/100], ITER [686/1674] 
LOSS: 0.00128932, TIME: 18615.5s
STEP [69340], EPOCH [42/100], ITER [706/1674] 
LOSS: 0.00117707, TIME: 18618.4s
STEP [69360], EPOCH [42/100], ITER [726/1674] 
LOSS: 0.00131894, TIME: 18621.3s
STEP [69380], EPOCH [42/100], ITER [746/1674] 
LOSS: 0.00128047, TIME: 18624.2s
STEP [69400], EPOCH [42/100], ITER [766/1674] 
LOSS: 0.00120270, TIME: 18627.0s
STEP [69420], EPOCH [42/100], ITER [786/1674] 
LOSS: 0.00112783, TIME: 18629.9s
STEP [69440], EPOCH [42/100], ITER [806/1674] 
LOSS: 0.00127740, TIME: 18632.8s
STEP [69460], EPOCH [42/100], ITER [826/1674] 
LOSS: 0.00164152, TIME: 18635.7s
STEP [69480], EPOCH [42/100], ITER [846/1674] 
LOSS: 0.00173105, TIME: 18638.5s
STEP [69500], EPOCH [42/100], ITER [866/1674] 
LOSS: 0.00164411, TIME: 18641.4s
STEP [69520], EPOCH [42/100], ITER [886/1674] 
LOSS: 0.00123906, TIME: 18644.3s
STEP [69540], EPOCH [42/100], ITER [906/1674] 
LOSS: 0.00109304, TIME: 18647.1s
STEP [69560], EPOCH [42/100], ITER [926/1674] 
LOSS: 0.00148407, TIME: 18650.0s
STEP [69580], EPOCH [42/100], ITER [946/1674] 
LOSS: 0.00191582, TIME: 18652.9s
STEP [69600], EPOCH [42/100], ITER [966/1674] 
LOSS: 0.00148401, TIME: 18655.7s
STEP [69620], EPOCH [42/100], ITER [986/1674] 
LOSS: 0.00135819, TIME: 18658.6s
STEP [69640], EPOCH [42/100], ITER [1006/1674] 
LOSS: 0.00160069, TIME: 18661.5s
STEP [69660], EPOCH [42/100], ITER [1026/1674] 
LOSS: 0.00156590, TIME: 18664.3s
