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table6_pidinet_running.log
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table6_pidinet_running.log
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conv weights: lr 0.005000, wd 0.000100 bn weights: lr 0.005000, wd 0.000010 relu weights: lr 0.005000, wd 0.000000
=> loading checkpoint from ''
no checkpoint loaded
Epoch: [00/14][001/795] Time 1.971 Data 1.847 Loss 458053.0215 (avg:19085.5426) lr 0.005000
Epoch: [00/14][011/795] Time 1.861 Data 1.802 Loss 524815.2698 (avg:22482.5164) lr 0.005000
Epoch: [00/14][021/795] Time 1.720 Data 1.618 Loss 415383.6955 (avg:21425.2183) lr 0.005000
Epoch: [00/14][031/795] Time 1.885 Data 1.806 Loss 520622.5519 (avg:20905.0419) lr 0.005000
Epoch: [00/14][041/795] Time 1.796 Data 1.676 Loss 433338.8045 (avg:20449.1725) lr 0.005000
Epoch: [00/14][051/795] Time 1.655 Data 1.573 Loss 439851.6836 (avg:19866.4541) lr 0.005000
Epoch: [00/14][061/795] Time 1.849 Data 1.787 Loss 524600.6992 (avg:19797.1322) lr 0.005000
Epoch: [00/14][071/795] Time 1.799 Data 1.680 Loss 481830.9234 (avg:19457.6059) lr 0.005000
Epoch: [00/14][081/795] Time 1.590 Data 1.505 Loss 366961.7126 (avg:19242.6929) lr 0.005000
Epoch: [00/14][091/795] Time 1.821 Data 1.738 Loss 509272.3531 (avg:19131.2348) lr 0.005000
Epoch: [00/14][101/795] Time 1.666 Data 1.581 Loss 371805.3509 (avg:19074.7909) lr 0.005000
Epoch: [00/14][111/795] Time 1.765 Data 1.682 Loss 470001.0322 (avg:19040.6672) lr 0.005000
Epoch: [00/14][121/795] Time 1.519 Data 1.461 Loss 258513.7239 (avg:18917.1205) lr 0.005000
Epoch: [00/14][131/795] Time 1.851 Data 1.766 Loss 410540.5809 (avg:18721.6796) lr 0.005000
Epoch: [00/14][141/795] Time 1.733 Data 1.647 Loss 386475.4184 (avg:18622.4480) lr 0.005000
Epoch: [00/14][151/795] Time 1.645 Data 1.522 Loss 344129.1177 (avg:18631.0319) lr 0.005000
Epoch: [00/14][161/795] Time 1.742 Data 1.660 Loss 392906.2826 (avg:18525.2534) lr 0.005000
Epoch: [00/14][171/795] Time 1.712 Data 1.651 Loss 416956.7317 (avg:18488.0447) lr 0.005000
Epoch: [00/14][181/795] Time 1.653 Data 1.594 Loss 317900.8881 (avg:18407.9506) lr 0.005000
Epoch: [00/14][191/795] Time 1.653 Data 1.531 Loss 354373.5871 (avg:18367.3307) lr 0.005000
Epoch: [00/14][201/795] Time 1.681 Data 1.633 Loss 459533.8126 (avg:18297.3236) lr 0.005000
Epoch: [00/14][211/795] Time 1.673 Data 1.613 Loss 379058.8949 (avg:18286.5804) lr 0.005000
Epoch: [00/14][221/795] Time 1.846 Data 1.765 Loss 583150.6272 (avg:18216.8331) lr 0.005000
Epoch: [00/14][231/795] Time 1.561 Data 1.497 Loss 249329.3096 (avg:18156.6827) lr 0.005000
Epoch: [00/14][241/795] Time 1.529 Data 1.465 Loss 292771.2301 (avg:18091.3915) lr 0.005000
Epoch: [00/14][251/795] Time 1.763 Data 1.704 Loss 411795.2086 (avg:17996.2679) lr 0.005000
Epoch: [00/14][261/795] Time 1.651 Data 1.588 Loss 316501.9786 (avg:18004.1453) lr 0.005000
Epoch: [00/14][271/795] Time 1.893 Data 1.789 Loss 525770.8874 (avg:17983.6860) lr 0.005000
Epoch: [00/14][281/795] Time 1.548 Data 1.475 Loss 392244.0652 (avg:17976.4092) lr 0.005000
Epoch: [00/14][291/795] Time 1.599 Data 1.551 Loss 400555.5472 (avg:17931.6986) lr 0.005000
Epoch: [00/14][301/795] Time 1.737 Data 1.687 Loss 480013.5910 (avg:17930.3734) lr 0.005000
Epoch: [00/14][311/795] Time 1.519 Data 1.471 Loss 372351.2294 (avg:17912.7834) lr 0.005000
Epoch: [00/14][321/795] Time 1.641 Data 1.527 Loss 452165.8752 (avg:17860.3852) lr 0.005000
Epoch: [00/14][331/795] Time 1.670 Data 1.621 Loss 413337.5305 (avg:17879.8576) lr 0.005000
Epoch: [00/14][341/795] Time 1.551 Data 1.503 Loss 387020.5037 (avg:17841.3684) lr 0.005000
Epoch: [00/14][351/795] Time 1.567 Data 1.473 Loss 391120.7923 (avg:17857.6784) lr 0.005000
Epoch: [00/14][361/795] Time 1.684 Data 1.609 Loss 540724.6259 (avg:17888.6503) lr 0.005000
Epoch: [00/14][371/795] Time 1.669 Data 1.618 Loss 471822.8094 (avg:17859.7906) lr 0.005000
Epoch: [00/14][381/795] Time 1.564 Data 1.440 Loss 275682.6931 (avg:17797.4691) lr 0.005000
Epoch: [00/14][391/795] Time 1.703 Data 1.641 Loss 390681.2464 (avg:17793.1661) lr 0.005000
Epoch: [00/14][401/795] Time 1.953 Data 1.833 Loss 539790.1555 (avg:17769.1334) lr 0.005000
Epoch: [00/14][411/795] Time 1.639 Data 1.588 Loss 279535.4775 (avg:17722.4581) lr 0.005000
Epoch: [00/14][421/795] Time 1.722 Data 1.629 Loss 355046.4840 (avg:17675.9484) lr 0.005000
Epoch: [00/14][431/795] Time 1.834 Data 1.786 Loss 493634.3276 (avg:17625.0924) lr 0.005000
Epoch: [00/14][441/795] Time 1.443 Data 1.370 Loss 299657.2892 (avg:17580.7608) lr 0.005000
Epoch: [00/14][451/795] Time 1.585 Data 1.471 Loss 392751.3279 (avg:17576.4882) lr 0.005000
Epoch: [00/14][461/795] Time 1.744 Data 1.696 Loss 502364.0312 (avg:17545.6165) lr 0.005000
Epoch: [00/14][471/795] Time 1.574 Data 1.526 Loss 333644.3508 (avg:17516.1383) lr 0.005000
Epoch: [00/14][481/795] Time 1.696 Data 1.581 Loss 376593.0119 (avg:17492.8189) lr 0.005000
Epoch: [00/14][491/795] Time 1.310 Data 1.262 Loss 205261.1909 (avg:17438.8424) lr 0.005000
Epoch: [00/14][501/795] Time 1.396 Data 1.349 Loss 287016.0115 (avg:17410.1734) lr 0.005000
Epoch: [00/14][511/795] Time 1.792 Data 1.676 Loss 412255.5288 (avg:17411.0039) lr 0.005000
Epoch: [00/14][521/795] Time 1.682 Data 1.588 Loss 479857.8049 (avg:17385.0561) lr 0.005000
Epoch: [00/14][531/795] Time 1.666 Data 1.615 Loss 389461.2162 (avg:17380.4986) lr 0.005000
Epoch: [00/14][541/795] Time 1.633 Data 1.539 Loss 477647.3275 (avg:17404.0661) lr 0.005000
Epoch: [00/14][551/795] Time 1.421 Data 1.348 Loss 287359.5943 (avg:17379.9006) lr 0.005000
Epoch: [00/14][561/795] Time 1.725 Data 1.640 Loss 364301.3812 (avg:17354.6407) lr 0.005000
Epoch: [00/14][571/795] Time 1.583 Data 1.485 Loss 344294.0537 (avg:17355.7278) lr 0.005000
Epoch: [00/14][581/795] Time 1.843 Data 1.782 Loss 461989.2888 (avg:17336.4218) lr 0.005000
Epoch: [00/14][591/795] Time 1.711 Data 1.656 Loss 446169.5768 (avg:17332.5721) lr 0.005000
Epoch: [00/14][601/795] Time 1.831 Data 1.710 Loss 537767.6261 (avg:17333.4231) lr 0.005000
Epoch: [00/14][611/795] Time 1.674 Data 1.592 Loss 380025.1914 (avg:17313.8310) lr 0.005000
Epoch: [00/14][621/795] Time 1.613 Data 1.550 Loss 333382.2832 (avg:17300.7138) lr 0.005000
Epoch: [00/14][631/795] Time 1.759 Data 1.678 Loss 437548.1961 (avg:17295.2235) lr 0.005000
Epoch: [00/14][641/795] Time 1.729 Data 1.627 Loss 397176.8673 (avg:17282.4444) lr 0.005000
Epoch: [00/14][651/795] Time 1.687 Data 1.606 Loss 346487.8129 (avg:17252.0223) lr 0.005000
Epoch: [00/14][661/795] Time 1.629 Data 1.526 Loss 420488.1171 (avg:17226.5708) lr 0.005000
Epoch: [00/14][671/795] Time 1.758 Data 1.657 Loss 412310.1274 (avg:17212.3541) lr 0.005000
Epoch: [00/14][681/795] Time 1.674 Data 1.594 Loss 399303.4168 (avg:17198.9877) lr 0.005000
Epoch: [00/14][691/795] Time 1.757 Data 1.667 Loss 439987.8615 (avg:17195.8211) lr 0.005000
Epoch: [00/14][701/795] Time 1.718 Data 1.633 Loss 387562.1744 (avg:17197.8136) lr 0.005000
Epoch: [00/14][711/795] Time 1.683 Data 1.620 Loss 323313.1721 (avg:17177.4651) lr 0.005000
Epoch: [00/14][721/795] Time 1.789 Data 1.682 Loss 390897.4572 (avg:17180.3878) lr 0.005000
Epoch: [00/14][731/795] Time 1.667 Data 1.587 Loss 294467.5530 (avg:17144.1395) lr 0.005000
Epoch: [00/14][741/795] Time 1.726 Data 1.637 Loss 386793.9280 (avg:17151.6757) lr 0.005000
Epoch: [00/14][751/795] Time 1.728 Data 1.666 Loss 402800.1218 (avg:17156.6711) lr 0.005000
Epoch: [00/14][761/795] Time 1.756 Data 1.633 Loss 352869.6883 (avg:17149.5964) lr 0.005000
Epoch: [00/14][771/795] Time 1.884 Data 1.821 Loss 569469.2540 (avg:17129.4024) lr 0.005000
Epoch: [00/14][781/795] Time 1.824 Data 1.762 Loss 422116.0477 (avg:17109.0195) lr 0.005000
Epoch: [00/14][791/795] Time 1.821 Data 1.738 Loss 418871.1633 (avg:17101.2241) lr 0.005000
Epoch: [01/14][001/795] Time 2.017 Data 1.936 Loss 365032.8435 (avg:15209.7018) lr 0.005000
Epoch: [01/14][011/795] Time 1.647 Data 1.583 Loss 327530.9125 (avg:16423.6359) lr 0.005000
Epoch: [01/14][021/795] Time 1.589 Data 1.532 Loss 364533.1802 (avg:16354.7776) lr 0.005000
Epoch: [01/14][031/795] Time 1.764 Data 1.683 Loss 455279.8682 (avg:16490.3570) lr 0.005000
Epoch: [01/14][041/795] Time 1.612 Data 1.548 Loss 336542.2340 (avg:16693.1260) lr 0.005000
Epoch: [01/14][051/795] Time 1.727 Data 1.606 Loss 379524.3538 (avg:16573.5982) lr 0.005000
Epoch: [01/14][061/795] Time 1.664 Data 1.560 Loss 379529.9020 (avg:16607.9697) lr 0.005000
Epoch: [01/14][071/795] Time 1.810 Data 1.752 Loss 400201.2904 (avg:16514.1543) lr 0.005000
Epoch: [01/14][081/795] Time 1.736 Data 1.675 Loss 399437.0689 (avg:16624.4659) lr 0.005000
Epoch: [01/14][091/795] Time 1.832 Data 1.748 Loss 476499.5765 (avg:16600.3745) lr 0.005000
Epoch: [01/14][101/795] Time 1.682 Data 1.603 Loss 470642.6392 (avg:16552.2194) lr 0.005000
Epoch: [01/14][111/795] Time 1.929 Data 1.841 Loss 421597.8859 (avg:16707.1578) lr 0.005000
Epoch: [01/14][121/795] Time 1.532 Data 1.429 Loss 238163.5336 (avg:16644.9826) lr 0.005000
Epoch: [01/14][131/795] Time 1.608 Data 1.551 Loss 399338.8870 (avg:16603.1731) lr 0.005000
Epoch: [01/14][141/795] Time 1.742 Data 1.615 Loss 418924.5013 (avg:16523.7496) lr 0.005000
Epoch: [01/14][151/795] Time 1.695 Data 1.569 Loss 348360.9305 (avg:16531.3993) lr 0.005000
Epoch: [01/14][161/795] Time 1.585 Data 1.519 Loss 315518.5101 (avg:16616.2166) lr 0.005000
Epoch: [01/14][171/795] Time 1.816 Data 1.735 Loss 449858.0790 (avg:16549.9644) lr 0.005000
Epoch: [01/14][181/795] Time 1.824 Data 1.741 Loss 386895.4299 (avg:16565.8989) lr 0.005000
Epoch: [01/14][191/795] Time 1.791 Data 1.687 Loss 403983.8118 (avg:16591.7825) lr 0.005000
Epoch: [01/14][201/795] Time 1.726 Data 1.639 Loss 435233.9194 (avg:16561.0853) lr 0.005000
Epoch: [01/14][211/795] Time 1.877 Data 1.794 Loss 386863.9276 (avg:16566.0592) lr 0.005000
Epoch: [01/14][221/795] Time 1.819 Data 1.734 Loss 465231.7593 (avg:16628.1155) lr 0.005000
Epoch: [01/14][231/795] Time 1.738 Data 1.657 Loss 352720.4018 (avg:16602.9234) lr 0.005000
Epoch: [01/14][241/795] Time 1.566 Data 1.507 Loss 328064.7792 (avg:16509.2314) lr 0.005000
Epoch: [01/14][251/795] Time 1.729 Data 1.625 Loss 368469.9248 (avg:16461.4111) lr 0.005000
Epoch: [01/14][261/795] Time 1.948 Data 1.824 Loss 491785.1051 (avg:16443.2173) lr 0.005000
Epoch: [01/14][271/795] Time 1.615 Data 1.553 Loss 358937.9990 (avg:16408.0608) lr 0.005000
Epoch: [01/14][281/795] Time 1.842 Data 1.760 Loss 433219.6976 (avg:16407.8621) lr 0.005000
Epoch: [01/14][291/795] Time 1.654 Data 1.593 Loss 344420.8540 (avg:16391.2296) lr 0.005000
Epoch: [01/14][301/795] Time 1.681 Data 1.598 Loss 366812.8066 (avg:16337.7412) lr 0.005000
Epoch: [01/14][311/795] Time 1.991 Data 1.927 Loss 499062.2564 (avg:16336.0012) lr 0.005000
Epoch: [01/14][321/795] Time 1.931 Data 1.811 Loss 484338.5325 (avg:16353.0279) lr 0.005000
Epoch: [01/14][331/795] Time 1.586 Data 1.484 Loss 326006.3827 (avg:16342.7279) lr 0.005000
Epoch: [01/14][341/795] Time 1.587 Data 1.523 Loss 308076.2562 (avg:16311.6877) lr 0.005000
Epoch: [01/14][351/795] Time 1.602 Data 1.545 Loss 322626.4752 (avg:16283.7232) lr 0.005000
Epoch: [01/14][361/795] Time 1.789 Data 1.665 Loss 404092.9776 (avg:16272.5802) lr 0.005000
Epoch: [01/14][371/795] Time 1.740 Data 1.662 Loss 451984.0479 (avg:16279.7658) lr 0.005000
Epoch: [01/14][381/795] Time 1.931 Data 1.809 Loss 514691.9901 (avg:16255.0617) lr 0.005000
Epoch: [01/14][391/795] Time 1.814 Data 1.756 Loss 470705.7324 (avg:16245.1075) lr 0.005000
Epoch: [01/14][401/795] Time 1.567 Data 1.446 Loss 284702.5827 (avg:16288.3954) lr 0.005000
Epoch: [01/14][411/795] Time 1.764 Data 1.684 Loss 497728.9326 (avg:16266.0498) lr 0.005000
Epoch: [01/14][421/795] Time 1.875 Data 1.773 Loss 426600.3338 (avg:16265.3463) lr 0.005000
Epoch: [01/14][431/795] Time 1.705 Data 1.601 Loss 401514.4326 (avg:16248.6052) lr 0.005000
Epoch: [01/14][441/795] Time 1.727 Data 1.603 Loss 415307.9310 (avg:16273.1659) lr 0.005000
Epoch: [01/14][451/795] Time 1.723 Data 1.666 Loss 355119.6041 (avg:16260.0334) lr 0.005000
Epoch: [01/14][461/795] Time 1.759 Data 1.697 Loss 412867.5609 (avg:16264.0649) lr 0.005000
Epoch: [01/14][471/795] Time 1.603 Data 1.479 Loss 273728.5073 (avg:16255.0799) lr 0.005000
Epoch: [01/14][481/795] Time 1.812 Data 1.753 Loss 423941.6454 (avg:16302.5600) lr 0.005000
Epoch: [01/14][491/795] Time 1.513 Data 1.448 Loss 258076.5214 (avg:16288.1464) lr 0.005000
Epoch: [01/14][501/795] Time 1.563 Data 1.482 Loss 324075.6160 (avg:16307.5910) lr 0.005000
Epoch: [01/14][511/795] Time 1.812 Data 1.750 Loss 376193.0459 (avg:16287.7999) lr 0.005000
Epoch: [01/14][521/795] Time 1.715 Data 1.638 Loss 403522.7209 (avg:16292.3485) lr 0.005000
Epoch: [01/14][531/795] Time 1.615 Data 1.564 Loss 392995.4722 (avg:16305.7676) lr 0.005000
Epoch: [01/14][541/795] Time 1.575 Data 1.461 Loss 368809.4487 (avg:16314.3620) lr 0.005000
Epoch: [01/14][551/795] Time 1.767 Data 1.694 Loss 410522.4170 (avg:16328.5457) lr 0.005000
Epoch: [01/14][561/795] Time 1.709 Data 1.594 Loss 398328.7766 (avg:16338.7188) lr 0.005000
Epoch: [01/14][571/795] Time 1.584 Data 1.535 Loss 320471.1612 (avg:16331.2777) lr 0.005000
Epoch: [01/14][581/795] Time 1.595 Data 1.481 Loss 410291.6375 (avg:16320.5887) lr 0.005000
Epoch: [01/14][591/795] Time 1.437 Data 1.389 Loss 305123.6600 (avg:16321.7490) lr 0.005000
Epoch: [01/14][601/795] Time 1.661 Data 1.546 Loss 399403.9236 (avg:16304.1711) lr 0.005000
Epoch: [01/14][611/795] Time 1.804 Data 1.745 Loss 404336.9275 (avg:16304.2087) lr 0.005000
Epoch: [01/14][621/795] Time 1.794 Data 1.712 Loss 348939.6694 (avg:16289.7257) lr 0.005000
Epoch: [01/14][631/795] Time 1.903 Data 1.778 Loss 442637.9967 (avg:16290.9522) lr 0.005000
Epoch: [01/14][641/795] Time 1.720 Data 1.656 Loss 377614.1054 (avg:16286.8238) lr 0.005000
Epoch: [01/14][651/795] Time 1.769 Data 1.696 Loss 486989.7794 (avg:16295.0056) lr 0.005000
Epoch: [01/14][661/795] Time 1.497 Data 1.446 Loss 287038.0428 (avg:16302.1156) lr 0.005000
Epoch: [01/14][671/795] Time 1.648 Data 1.580 Loss 294647.3131 (avg:16327.0975) lr 0.005000
Epoch: [01/14][681/795] Time 1.851 Data 1.759 Loss 421088.1903 (avg:16322.0931) lr 0.005000
Epoch: [01/14][691/795] Time 1.766 Data 1.696 Loss 346600.4869 (avg:16327.4446) lr 0.005000
Epoch: [01/14][701/795] Time 1.815 Data 1.707 Loss 399095.6145 (avg:16334.6938) lr 0.005000
Epoch: [01/14][711/795] Time 1.792 Data 1.660 Loss 284214.9886 (avg:16343.1096) lr 0.005000
Epoch: [01/14][721/795] Time 1.809 Data 1.708 Loss 497249.5903 (avg:16354.0951) lr 0.005000
Epoch: [01/14][731/795] Time 1.731 Data 1.650 Loss 426013.5435 (avg:16349.4647) lr 0.005000
Epoch: [01/14][741/795] Time 1.704 Data 1.582 Loss 349975.8512 (avg:16337.9162) lr 0.005000
Epoch: [01/14][751/795] Time 1.727 Data 1.607 Loss 367039.9238 (avg:16327.9978) lr 0.005000
Epoch: [01/14][761/795] Time 1.864 Data 1.742 Loss 520871.5361 (avg:16327.4811) lr 0.005000
Epoch: [01/14][771/795] Time 1.783 Data 1.700 Loss 391070.3438 (avg:16329.4733) lr 0.005000
Epoch: [01/14][781/795] Time 1.824 Data 1.743 Loss 410745.5090 (avg:16363.8126) lr 0.005000
Epoch: [01/14][791/795] Time 1.686 Data 1.562 Loss 379625.1917 (avg:16354.0885) lr 0.005000
Epoch: [02/14][001/795] Time 1.918 Data 1.816 Loss 365692.6030 (avg:15237.1918) lr 0.005000
Epoch: [02/14][011/795] Time 1.696 Data 1.612 Loss 403379.3822 (avg:16603.6548) lr 0.005000
Epoch: [02/14][021/795] Time 1.727 Data 1.649 Loss 402895.1032 (avg:16274.3100) lr 0.005000
Epoch: [02/14][031/795] Time 1.735 Data 1.672 Loss 363336.6767 (avg:16625.3391) lr 0.005000
Epoch: [02/14][041/795] Time 1.790 Data 1.687 Loss 411852.4432 (avg:16798.2246) lr 0.005000
Epoch: [02/14][051/795] Time 1.760 Data 1.656 Loss 327529.9736 (avg:16780.1103) lr 0.005000
Epoch: [02/14][061/795] Time 1.568 Data 1.470 Loss 300019.7295 (avg:16472.6700) lr 0.005000
Epoch: [02/14][071/795] Time 1.615 Data 1.553 Loss 325387.9845 (avg:16372.4644) lr 0.005000
Epoch: [02/14][081/795] Time 1.757 Data 1.675 Loss 356556.2004 (avg:16394.7185) lr 0.005000
Epoch: [02/14][091/795] Time 1.865 Data 1.763 Loss 434890.0713 (avg:16473.3743) lr 0.005000
Epoch: [02/14][101/795] Time 1.723 Data 1.638 Loss 400068.7653 (avg:16453.6612) lr 0.005000
Epoch: [02/14][111/795] Time 1.867 Data 1.812 Loss 423101.9820 (avg:16381.0088) lr 0.005000
Epoch: [02/14][121/795] Time 1.607 Data 1.505 Loss 369673.6266 (avg:16369.4977) lr 0.005000
Epoch: [02/14][131/795] Time 2.021 Data 1.939 Loss 516427.8092 (avg:16394.1542) lr 0.005000
Epoch: [02/14][141/795] Time 1.754 Data 1.687 Loss 353754.1061 (avg:16440.6707) lr 0.005000
Epoch: [02/14][151/795] Time 1.895 Data 1.836 Loss 440556.0164 (avg:16344.2109) lr 0.005000
Epoch: [02/14][161/795] Time 1.776 Data 1.710 Loss 477654.7276 (avg:16301.5489) lr 0.005000
Epoch: [02/14][171/795] Time 1.669 Data 1.608 Loss 350484.9429 (avg:16256.1881) lr 0.005000
Epoch: [02/14][181/795] Time 1.834 Data 1.771 Loss 415384.9652 (avg:16233.3991) lr 0.005000
Epoch: [02/14][191/795] Time 1.858 Data 1.776 Loss 446118.1491 (avg:16246.2372) lr 0.005000
Epoch: [02/14][201/795] Time 1.821 Data 1.757 Loss 464916.0269 (avg:16274.5598) lr 0.005000
Epoch: [02/14][211/795] Time 1.888 Data 1.818 Loss 485573.6735 (avg:16210.7442) lr 0.005000
Epoch: [02/14][221/795] Time 1.836 Data 1.765 Loss 380750.2798 (avg:16217.1215) lr 0.005000
Epoch: [02/14][231/795] Time 1.702 Data 1.640 Loss 324100.6004 (avg:16235.9958) lr 0.005000
Epoch: [02/14][241/795] Time 1.781 Data 1.720 Loss 376297.5350 (avg:16223.0984) lr 0.005000
Epoch: [02/14][251/795] Time 1.812 Data 1.749 Loss 445575.6875 (avg:16236.9595) lr 0.005000
Epoch: [02/14][261/795] Time 1.939 Data 1.879 Loss 512920.9240 (avg:16268.8705) lr 0.005000
Epoch: [02/14][271/795] Time 1.949 Data 1.850 Loss 455884.0439 (avg:16254.0939) lr 0.005000
Epoch: [02/14][281/795] Time 1.691 Data 1.633 Loss 373960.6093 (avg:16251.9085) lr 0.005000
Epoch: [02/14][291/795] Time 1.752 Data 1.632 Loss 437837.1927 (avg:16289.1662) lr 0.005000
Epoch: [02/14][301/795] Time 1.744 Data 1.657 Loss 364177.5802 (avg:16273.0671) lr 0.005000
Epoch: [02/14][311/795] Time 1.638 Data 1.559 Loss 355558.3971 (avg:16212.4967) lr 0.005000
Epoch: [02/14][321/795] Time 1.821 Data 1.696 Loss 315349.6783 (avg:16195.0233) lr 0.005000
Epoch: [02/14][331/795] Time 1.641 Data 1.562 Loss 321107.0777 (avg:16179.5560) lr 0.005000
Epoch: [02/14][341/795] Time 1.711 Data 1.631 Loss 439094.4023 (avg:16207.1066) lr 0.005000
Epoch: [02/14][351/795] Time 1.807 Data 1.682 Loss 423036.4102 (avg:16209.9484) lr 0.005000
Epoch: [02/14][361/795] Time 1.934 Data 1.813 Loss 491821.4136 (avg:16205.7977) lr 0.005000
Epoch: [02/14][371/795] Time 1.877 Data 1.773 Loss 583061.6528 (avg:16218.0569) lr 0.005000
Epoch: [02/14][381/795] Time 1.716 Data 1.630 Loss 391631.4501 (avg:16237.3691) lr 0.005000
Epoch: [02/14][391/795] Time 1.869 Data 1.744 Loss 467578.6584 (avg:16206.2246) lr 0.005000
Epoch: [02/14][401/795] Time 1.802 Data 1.678 Loss 460200.0121 (avg:16209.8592) lr 0.005000
Epoch: [02/14][411/795] Time 1.718 Data 1.633 Loss 376673.6783 (avg:16216.7325) lr 0.005000
Epoch: [02/14][421/795] Time 1.774 Data 1.670 Loss 376820.9733 (avg:16225.0414) lr 0.005000
Epoch: [02/14][431/795] Time 1.724 Data 1.644 Loss 397403.2675 (avg:16189.7915) lr 0.005000
Epoch: [02/14][441/795] Time 1.688 Data 1.629 Loss 397079.4401 (avg:16225.3046) lr 0.005000
Epoch: [02/14][451/795] Time 1.713 Data 1.654 Loss 372376.9113 (avg:16181.3382) lr 0.005000
Epoch: [02/14][461/795] Time 1.683 Data 1.622 Loss 412229.3215 (avg:16229.4566) lr 0.005000
Epoch: [02/14][471/795] Time 1.768 Data 1.663 Loss 424185.3948 (avg:16238.8177) lr 0.005000
Epoch: [02/14][481/795] Time 1.734 Data 1.652 Loss 411110.4216 (avg:16211.0215) lr 0.005000
Epoch: [02/14][491/795] Time 1.934 Data 1.830 Loss 556412.2771 (avg:16266.9180) lr 0.005000
Epoch: [02/14][501/795] Time 1.841 Data 1.721 Loss 432067.0356 (avg:16255.3967) lr 0.005000
Epoch: [02/14][511/795] Time 1.841 Data 1.780 Loss 418937.1825 (avg:16268.1113) lr 0.005000
Epoch: [02/14][521/795] Time 1.884 Data 1.799 Loss 460620.9648 (avg:16261.8495) lr 0.005000
Epoch: [02/14][531/795] Time 1.713 Data 1.609 Loss 425236.1595 (avg:16225.4878) lr 0.005000
Epoch: [02/14][541/795] Time 1.637 Data 1.554 Loss 361118.7707 (avg:16214.8097) lr 0.005000
Epoch: [02/14][551/795] Time 1.628 Data 1.548 Loss 283261.7214 (avg:16170.5382) lr 0.005000
Epoch: [02/14][561/795] Time 1.748 Data 1.690 Loss 365804.9976 (avg:16168.4770) lr 0.005000
Epoch: [02/14][571/795] Time 1.873 Data 1.791 Loss 499253.7095 (avg:16191.4772) lr 0.005000
Epoch: [02/14][581/795] Time 1.808 Data 1.703 Loss 416204.8001 (avg:16189.9279) lr 0.005000
Epoch: [02/14][591/795] Time 1.745 Data 1.665 Loss 429241.8275 (avg:16211.6944) lr 0.005000
Epoch: [02/14][601/795] Time 1.831 Data 1.766 Loss 373093.4057 (avg:16212.3529) lr 0.005000
Epoch: [02/14][611/795] Time 1.768 Data 1.688 Loss 334196.3936 (avg:16205.7238) lr 0.005000
Epoch: [02/14][621/795] Time 1.690 Data 1.630 Loss 342828.3842 (avg:16215.3505) lr 0.005000
Epoch: [02/14][631/795] Time 1.637 Data 1.512 Loss 316600.1362 (avg:16186.8616) lr 0.005000
Epoch: [02/14][641/795] Time 1.635 Data 1.511 Loss 376116.4921 (avg:16151.1257) lr 0.005000
Epoch: [02/14][651/795] Time 1.674 Data 1.590 Loss 367278.7080 (avg:16152.6929) lr 0.005000
Epoch: [02/14][661/795] Time 1.984 Data 1.895 Loss 414527.9091 (avg:16148.5778) lr 0.005000
Epoch: [02/14][671/795] Time 1.918 Data 1.852 Loss 373676.7370 (avg:16153.8799) lr 0.005000
Epoch: [02/14][681/795] Time 1.783 Data 1.681 Loss 442744.1382 (avg:16163.7407) lr 0.005000
Epoch: [02/14][691/795] Time 1.768 Data 1.684 Loss 394732.0251 (avg:16160.0193) lr 0.005000
Epoch: [02/14][701/795] Time 1.503 Data 1.441 Loss 240959.8350 (avg:16174.8175) lr 0.005000
Epoch: [02/14][711/795] Time 1.575 Data 1.516 Loss 320954.9085 (avg:16143.1050) lr 0.005000
Epoch: [02/14][721/795] Time 1.647 Data 1.583 Loss 378671.5823 (avg:16140.6170) lr 0.005000
Epoch: [02/14][731/795] Time 1.519 Data 1.457 Loss 307048.9851 (avg:16135.6404) lr 0.005000
Epoch: [02/14][741/795] Time 1.688 Data 1.586 Loss 423023.0317 (avg:16157.1035) lr 0.005000
Epoch: [02/14][751/795] Time 1.957 Data 1.833 Loss 441549.2814 (avg:16154.8609) lr 0.005000
Epoch: [02/14][761/795] Time 1.797 Data 1.692 Loss 466410.4721 (avg:16147.4553) lr 0.005000
Epoch: [02/14][771/795] Time 1.808 Data 1.700 Loss 320195.3808 (avg:16128.8507) lr 0.005000
Epoch: [02/14][781/795] Time 1.969 Data 1.841 Loss 402558.0593 (avg:16136.7999) lr 0.005000
Epoch: [02/14][791/795] Time 1.847 Data 1.774 Loss 342152.5959 (avg:16126.1240) lr 0.005000
Epoch: [03/14][001/795] Time 1.933 Data 1.872 Loss 422738.5381 (avg:17614.1058) lr 0.005000
Epoch: [03/14][011/795] Time 1.535 Data 1.473 Loss 286878.4598 (avg:15851.6504) lr 0.005000
Epoch: [03/14][021/795] Time 1.853 Data 1.728 Loss 394724.4862 (avg:16660.6210) lr 0.005000
Epoch: [03/14][031/795] Time 1.912 Data 1.787 Loss 448319.3095 (avg:16142.4232) lr 0.005000
Epoch: [03/14][041/795] Time 1.963 Data 1.900 Loss 454038.9327 (avg:16211.9851) lr 0.005000
Epoch: [03/14][051/795] Time 1.880 Data 1.799 Loss 454253.8106 (avg:15867.5644) lr 0.005000
Epoch: [03/14][061/795] Time 1.769 Data 1.708 Loss 383434.5735 (avg:15834.1676) lr 0.005000
Epoch: [03/14][071/795] Time 1.707 Data 1.627 Loss 362933.8426 (avg:16001.5389) lr 0.005000
Epoch: [03/14][081/795] Time 1.647 Data 1.524 Loss 343418.3227 (avg:15992.6574) lr 0.005000
Epoch: [03/14][091/795] Time 1.621 Data 1.558 Loss 332941.2545 (avg:16019.7556) lr 0.005000
Epoch: [03/14][101/795] Time 1.944 Data 1.823 Loss 602427.8951 (avg:16122.7160) lr 0.005000
Epoch: [03/14][111/795] Time 1.723 Data 1.641 Loss 319227.0777 (avg:16064.8951) lr 0.005000
Epoch: [03/14][121/795] Time 1.885 Data 1.801 Loss 436407.7818 (avg:15894.8812) lr 0.005000
Epoch: [03/14][131/795] Time 1.829 Data 1.750 Loss 434873.8468 (avg:16029.3068) lr 0.005000
Epoch: [03/14][141/795] Time 1.620 Data 1.519 Loss 285798.7740 (avg:15977.5041) lr 0.005000
Epoch: [03/14][151/795] Time 1.753 Data 1.672 Loss 363460.6923 (avg:15996.6697) lr 0.005000
Epoch: [03/14][161/795] Time 1.816 Data 1.737 Loss 437523.8544 (avg:16013.1676) lr 0.005000
Epoch: [03/14][171/795] Time 1.715 Data 1.659 Loss 321910.4206 (avg:15975.8628) lr 0.005000
Epoch: [03/14][181/795] Time 1.785 Data 1.723 Loss 452664.4164 (avg:16026.1217) lr 0.005000
Epoch: [03/14][191/795] Time 1.536 Data 1.433 Loss 285417.0577 (avg:15971.2404) lr 0.005000
Epoch: [03/14][201/795] Time 1.735 Data 1.653 Loss 342776.7200 (avg:15950.3624) lr 0.005000
Epoch: [03/14][211/795] Time 1.614 Data 1.530 Loss 293214.4835 (avg:15909.0909) lr 0.005000
Epoch: [03/14][221/795] Time 1.752 Data 1.669 Loss 357477.1355 (avg:15949.6273) lr 0.005000
Epoch: [03/14][231/795] Time 1.781 Data 1.702 Loss 402603.1171 (avg:15969.5676) lr 0.005000
Epoch: [03/14][241/795] Time 1.718 Data 1.595 Loss 435180.4797 (avg:16044.6960) lr 0.005000
Epoch: [03/14][251/795] Time 1.584 Data 1.482 Loss 306541.6451 (avg:16036.5714) lr 0.005000
Epoch: [03/14][261/795] Time 1.826 Data 1.767 Loss 456401.1584 (avg:16015.9831) lr 0.005000
Epoch: [03/14][271/795] Time 1.926 Data 1.820 Loss 475278.5224 (avg:16062.9082) lr 0.005000
Epoch: [03/14][281/795] Time 1.757 Data 1.698 Loss 471802.3762 (avg:16081.5173) lr 0.005000
Epoch: [03/14][291/795] Time 1.731 Data 1.606 Loss 413816.1252 (avg:16058.3075) lr 0.005000
Epoch: [03/14][301/795] Time 1.918 Data 1.855 Loss 518741.9785 (avg:16139.6147) lr 0.005000
Epoch: [03/14][311/795] Time 1.980 Data 1.875 Loss 488756.2107 (avg:16173.3496) lr 0.005000
Epoch: [03/14][321/795] Time 1.733 Data 1.669 Loss 367471.7420 (avg:16104.8596) lr 0.005000
Epoch: [03/14][331/795] Time 1.900 Data 1.838 Loss 400507.7868 (avg:16066.9881) lr 0.005000
Epoch: [03/14][341/795] Time 1.660 Data 1.536 Loss 339628.9836 (avg:16071.4709) lr 0.005000
Epoch: [03/14][351/795] Time 1.663 Data 1.577 Loss 334878.2415 (avg:16037.3485) lr 0.005000
Epoch: [03/14][361/795] Time 1.809 Data 1.724 Loss 484208.3037 (avg:16022.2193) lr 0.005000
Epoch: [03/14][371/795] Time 1.771 Data 1.669 Loss 417645.8811 (avg:16041.6163) lr 0.005000
Epoch: [03/14][381/795] Time 1.685 Data 1.581 Loss 350313.2026 (avg:16029.2294) lr 0.005000
Epoch: [03/14][391/795] Time 1.570 Data 1.508 Loss 317368.7128 (avg:16052.5926) lr 0.005000
Epoch: [03/14][401/795] Time 1.917 Data 1.837 Loss 467909.8906 (avg:16065.7817) lr 0.005000
Epoch: [03/14][411/795] Time 1.644 Data 1.557 Loss 333176.9396 (avg:16077.4880) lr 0.005000
Epoch: [03/14][421/795] Time 1.630 Data 1.569 Loss 264350.1967 (avg:16035.3887) lr 0.005000
Epoch: [03/14][431/795] Time 1.759 Data 1.703 Loss 292691.9648 (avg:16036.0611) lr 0.005000
Epoch: [03/14][441/795] Time 1.795 Data 1.692 Loss 414199.1814 (avg:15990.8914) lr 0.005000
Epoch: [03/14][451/795] Time 1.691 Data 1.567 Loss 331984.3775 (avg:15949.8315) lr 0.005000
Epoch: [03/14][461/795] Time 1.720 Data 1.639 Loss 421258.6463 (avg:15952.0102) lr 0.005000
Epoch: [03/14][471/795] Time 1.856 Data 1.796 Loss 509952.8888 (avg:15951.0284) lr 0.005000
Epoch: [03/14][481/795] Time 1.598 Data 1.475 Loss 285306.2312 (avg:15957.4210) lr 0.005000
Epoch: [03/14][491/795] Time 1.875 Data 1.812 Loss 403338.4776 (avg:15937.2110) lr 0.005000
Epoch: [03/14][501/795] Time 1.751 Data 1.648 Loss 374456.2090 (avg:15961.2357) lr 0.005000
Epoch: [03/14][511/795] Time 1.856 Data 1.734 Loss 390945.6231 (avg:15972.0857) lr 0.005000
Epoch: [03/14][521/795] Time 1.779 Data 1.699 Loss 431927.2792 (avg:15986.1733) lr 0.005000
Epoch: [03/14][531/795] Time 1.714 Data 1.651 Loss 339634.4683 (avg:16017.7546) lr 0.005000
Epoch: [03/14][541/795] Time 1.673 Data 1.587 Loss 401113.2260 (avg:16025.9261) lr 0.005000
Epoch: [03/14][551/795] Time 1.553 Data 1.451 Loss 292610.7241 (avg:15986.2239) lr 0.005000
Epoch: [03/14][561/795] Time 1.855 Data 1.776 Loss 460544.6036 (avg:15980.5482) lr 0.005000
Epoch: [03/14][571/795] Time 1.749 Data 1.669 Loss 406355.2565 (avg:15947.2698) lr 0.005000
Epoch: [03/14][581/795] Time 1.906 Data 1.802 Loss 517134.2810 (avg:15944.7207) lr 0.005000
Epoch: [03/14][591/795] Time 1.588 Data 1.507 Loss 300157.5517 (avg:15926.0252) lr 0.005000
Epoch: [03/14][601/795] Time 1.762 Data 1.679 Loss 398470.4564 (avg:15927.0741) lr 0.005000
Epoch: [03/14][611/795] Time 1.870 Data 1.788 Loss 423080.9226 (avg:15932.9907) lr 0.005000
Epoch: [03/14][621/795] Time 1.632 Data 1.551 Loss 381441.4922 (avg:15957.6290) lr 0.005000
Epoch: [03/14][631/795] Time 1.833 Data 1.713 Loss 431448.3678 (avg:15926.0598) lr 0.005000
Epoch: [03/14][641/795] Time 1.637 Data 1.558 Loss 377221.7753 (avg:15934.5702) lr 0.005000
Epoch: [03/14][651/795] Time 1.602 Data 1.522 Loss 367299.4340 (avg:15942.0196) lr 0.005000
Epoch: [03/14][661/795] Time 1.789 Data 1.684 Loss 394154.0620 (avg:15955.0011) lr 0.005000
Epoch: [03/14][671/795] Time 1.773 Data 1.670 Loss 478115.7764 (avg:15979.4877) lr 0.005000
Epoch: [03/14][681/795] Time 1.616 Data 1.556 Loss 319557.9312 (avg:15943.1737) lr 0.005000
Epoch: [03/14][691/795] Time 1.700 Data 1.637 Loss 401726.3079 (avg:15951.5093) lr 0.005000
Epoch: [03/14][701/795] Time 1.665 Data 1.566 Loss 340199.1539 (avg:15952.5553) lr 0.005000
Epoch: [03/14][711/795] Time 1.565 Data 1.503 Loss 237995.3931 (avg:15948.5924) lr 0.005000
Epoch: [03/14][721/795] Time 1.731 Data 1.650 Loss 369278.5746 (avg:15951.1275) lr 0.005000
Epoch: [03/14][731/795] Time 1.745 Data 1.682 Loss 347704.2461 (avg:15972.7701) lr 0.005000
Epoch: [03/14][741/795] Time 1.649 Data 1.590 Loss 381769.7119 (avg:15984.0522) lr 0.005000
Epoch: [03/14][751/795] Time 1.645 Data 1.519 Loss 357425.6664 (avg:15979.7833) lr 0.005000
Epoch: [03/14][761/795] Time 1.625 Data 1.518 Loss 298741.7389 (avg:15993.9118) lr 0.005000
Epoch: [03/14][771/795] Time 1.844 Data 1.754 Loss 296124.6523 (avg:15980.0491) lr 0.005000
Epoch: [03/14][781/795] Time 1.758 Data 1.649 Loss 388463.5575 (avg:15986.7974) lr 0.005000
Epoch: [03/14][791/795] Time 1.582 Data 1.521 Loss 347033.3524 (avg:15992.6343) lr 0.005000
Epoch: [04/14][001/795] Time 2.113 Data 1.990 Loss 442552.9180 (avg:18439.7049) lr 0.005000
Epoch: [04/14][011/795] Time 1.811 Data 1.728 Loss 467935.2399 (avg:15237.5513) lr 0.005000
Epoch: [04/14][021/795] Time 1.639 Data 1.561 Loss 352072.7648 (avg:15644.5228) lr 0.005000
Epoch: [04/14][031/795] Time 1.717 Data 1.633 Loss 417939.1836 (avg:15936.3101) lr 0.005000
Epoch: [04/14][041/795] Time 1.858 Data 1.796 Loss 388899.2052 (avg:15712.8715) lr 0.005000
Epoch: [04/14][051/795] Time 1.686 Data 1.602 Loss 324610.4699 (avg:16000.0563) lr 0.005000
Epoch: [04/14][061/795] Time 1.606 Data 1.527 Loss 242986.9843 (avg:15874.9850) lr 0.005000
Epoch: [04/14][071/795] Time 1.917 Data 1.832 Loss 372263.1304 (avg:15900.9725) lr 0.005000
Epoch: [04/14][081/795] Time 1.596 Data 1.537 Loss 309901.2078 (avg:15706.3632) lr 0.005000
Epoch: [04/14][091/795] Time 1.682 Data 1.583 Loss 423014.0336 (avg:15569.6350) lr 0.005000
Epoch: [04/14][101/795] Time 1.802 Data 1.693 Loss 412087.0018 (avg:15756.8944) lr 0.005000
Epoch: [04/14][111/795] Time 1.763 Data 1.699 Loss 350332.1567 (avg:15710.0407) lr 0.005000
Epoch: [04/14][121/795] Time 1.838 Data 1.754 Loss 440526.4800 (avg:15743.0562) lr 0.005000
Epoch: [04/14][131/795] Time 1.855 Data 1.771 Loss 371506.2425 (avg:15605.0403) lr 0.005000
Epoch: [04/14][141/795] Time 1.637 Data 1.514 Loss 282702.1531 (avg:15501.9532) lr 0.005000
Epoch: [04/14][151/795] Time 1.652 Data 1.569 Loss 288276.1193 (avg:15494.8342) lr 0.005000
Epoch: [04/14][161/795] Time 1.699 Data 1.639 Loss 357524.3461 (avg:15454.2289) lr 0.005000
Epoch: [04/14][171/795] Time 1.522 Data 1.462 Loss 325656.1453 (avg:15478.5526) lr 0.005000
Epoch: [04/14][181/795] Time 1.643 Data 1.521 Loss 367448.3346 (avg:15503.3630) lr 0.005000
Epoch: [04/14][191/795] Time 1.711 Data 1.608 Loss 372812.0744 (avg:15418.3194) lr 0.005000
Epoch: [04/14][201/795] Time 1.548 Data 1.467 Loss 304841.9612 (avg:15380.0747) lr 0.005000
Epoch: [04/14][211/795] Time 1.821 Data 1.737 Loss 520172.8488 (avg:15404.7020) lr 0.005000
Epoch: [04/14][221/795] Time 1.712 Data 1.655 Loss 464350.4220 (avg:15430.0437) lr 0.005000
Epoch: [04/14][231/795] Time 1.861 Data 1.801 Loss 528591.9753 (avg:15505.2602) lr 0.005000
Epoch: [04/14][241/795] Time 1.745 Data 1.686 Loss 422992.7986 (avg:15524.7989) lr 0.005000
Epoch: [04/14][251/795] Time 1.717 Data 1.632 Loss 455273.3219 (avg:15518.1796) lr 0.005000
Epoch: [04/14][261/795] Time 1.684 Data 1.623 Loss 422010.9586 (avg:15526.3313) lr 0.005000
Epoch: [04/14][271/795] Time 1.853 Data 1.772 Loss 428419.3896 (avg:15558.6476) lr 0.005000
Epoch: [04/14][281/795] Time 1.784 Data 1.664 Loss 405088.9938 (avg:15572.8234) lr 0.005000
Epoch: [04/14][291/795] Time 1.901 Data 1.822 Loss 553538.8179 (avg:15604.2192) lr 0.005000
Epoch: [04/14][301/795] Time 1.722 Data 1.642 Loss 440570.4352 (avg:15576.5928) lr 0.005000
Epoch: [04/14][311/795] Time 1.812 Data 1.729 Loss 430092.5016 (avg:15594.1908) lr 0.005000
Epoch: [04/14][321/795] Time 1.687 Data 1.628 Loss 370054.5408 (avg:15607.1129) lr 0.005000
Epoch: [04/14][331/795] Time 1.865 Data 1.780 Loss 451546.6939 (avg:15636.1742) lr 0.005000
Epoch: [04/14][341/795] Time 1.845 Data 1.722 Loss 504468.0137 (avg:15685.3815) lr 0.005000
Epoch: [04/14][351/795] Time 1.708 Data 1.647 Loss 332548.8724 (avg:15671.0200) lr 0.005000
Epoch: [04/14][361/795] Time 1.810 Data 1.725 Loss 347256.8899 (avg:15650.0316) lr 0.005000
Epoch: [04/14][371/795] Time 1.757 Data 1.672 Loss 318102.2567 (avg:15675.3298) lr 0.005000
Epoch: [04/14][381/795] Time 1.921 Data 1.841 Loss 486434.5900 (avg:15679.9593) lr 0.005000
Epoch: [04/14][391/795] Time 1.825 Data 1.765 Loss 420879.9441 (avg:15691.8793) lr 0.005000
Epoch: [04/14][401/795] Time 1.836 Data 1.731 Loss 362383.5099 (avg:15707.7143) lr 0.005000
Epoch: [04/14][411/795] Time 1.572 Data 1.448 Loss 274770.0561 (avg:15718.8214) lr 0.005000
Epoch: [04/14][421/795] Time 1.821 Data 1.735 Loss 428815.3133 (avg:15737.6905) lr 0.005000
Epoch: [04/14][431/795] Time 1.804 Data 1.742 Loss 440216.9766 (avg:15752.0106) lr 0.005000
Epoch: [04/14][441/795] Time 1.653 Data 1.568 Loss 355277.3638 (avg:15776.8437) lr 0.005000
Epoch: [04/14][451/795] Time 1.605 Data 1.499 Loss 269938.5083 (avg:15783.0295) lr 0.005000
Epoch: [04/14][461/795] Time 1.659 Data 1.533 Loss 344920.5575 (avg:15777.1833) lr 0.005000
Epoch: [04/14][471/795] Time 1.854 Data 1.790 Loss 426567.3605 (avg:15759.3874) lr 0.005000
Epoch: [04/14][481/795] Time 1.643 Data 1.522 Loss 353633.5112 (avg:15787.1344) lr 0.005000
Epoch: [04/14][491/795] Time 1.506 Data 1.445 Loss 263270.9793 (avg:15781.7857) lr 0.005000
Epoch: [04/14][501/795] Time 1.642 Data 1.538 Loss 352873.0647 (avg:15807.8019) lr 0.005000
Epoch: [04/14][511/795] Time 1.738 Data 1.679 Loss 408237.4653 (avg:15822.2878) lr 0.005000
Epoch: [04/14][521/795] Time 1.694 Data 1.606 Loss 390444.0557 (avg:15816.7305) lr 0.005000
Epoch: [04/14][531/795] Time 1.694 Data 1.611 Loss 335648.6131 (avg:15788.4052) lr 0.005000
Epoch: [04/14][541/795] Time 1.679 Data 1.576 Loss 354039.3278 (avg:15786.2288) lr 0.005000
Epoch: [04/14][551/795] Time 1.621 Data 1.562 Loss 361150.6531 (avg:15784.4213) lr 0.005000
Epoch: [04/14][561/795] Time 1.708 Data 1.600 Loss 425658.5496 (avg:15796.8265) lr 0.005000
Epoch: [04/14][571/795] Time 1.541 Data 1.461 Loss 289652.7655 (avg:15782.3026) lr 0.005000
Epoch: [04/14][581/795] Time 1.806 Data 1.691 Loss 395209.7440 (avg:15800.2832) lr 0.005000
Epoch: [04/14][591/795] Time 1.584 Data 1.524 Loss 351245.7162 (avg:15818.9743) lr 0.005000
Epoch: [04/14][601/795] Time 1.765 Data 1.642 Loss 314816.0691 (avg:15818.3999) lr 0.005000
Epoch: [04/14][611/795] Time 1.863 Data 1.778 Loss 445037.4587 (avg:15783.0992) lr 0.005000
Epoch: [04/14][621/795] Time 1.688 Data 1.582 Loss 313688.9722 (avg:15793.3543) lr 0.005000
Epoch: [04/14][631/795] Time 1.838 Data 1.712 Loss 425359.3800 (avg:15828.3393) lr 0.005000
Epoch: [04/14][641/795] Time 1.687 Data 1.584 Loss 313025.2178 (avg:15838.7438) lr 0.005000
Epoch: [04/14][651/795] Time 1.776 Data 1.653 Loss 406769.8135 (avg:15848.8203) lr 0.005000
Epoch: [04/14][661/795] Time 1.941 Data 1.882 Loss 440286.6253 (avg:15862.4131) lr 0.005000
Epoch: [04/14][671/795] Time 1.716 Data 1.657 Loss 342579.9764 (avg:15852.6116) lr 0.005000
Epoch: [04/14][681/795] Time 1.659 Data 1.597 Loss 333877.9573 (avg:15856.0902) lr 0.005000
Epoch: [04/14][691/795] Time 1.773 Data 1.705 Loss 328596.1460 (avg:15873.1250) lr 0.005000
Epoch: [04/14][701/795] Time 1.857 Data 1.774 Loss 411045.5779 (avg:15874.8705) lr 0.005000
Epoch: [04/14][711/795] Time 1.764 Data 1.657 Loss 271220.2093 (avg:15859.2835) lr 0.005000
Epoch: [04/14][721/795] Time 1.702 Data 1.599 Loss 364699.2527 (avg:15859.1337) lr 0.005000
Epoch: [04/14][731/795] Time 1.816 Data 1.690 Loss 372746.7769 (avg:15881.7985) lr 0.005000
Epoch: [04/14][741/795] Time 1.660 Data 1.602 Loss 349941.8674 (avg:15856.0052) lr 0.005000
Epoch: [04/14][751/795] Time 1.799 Data 1.739 Loss 474247.2209 (avg:15875.3272) lr 0.005000
Epoch: [04/14][761/795] Time 1.802 Data 1.699 Loss 471251.4779 (avg:15853.0833) lr 0.005000
Epoch: [04/14][771/795] Time 1.948 Data 1.845 Loss 501437.5006 (avg:15864.2833) lr 0.005000
Epoch: [04/14][781/795] Time 1.703 Data 1.615 Loss 387919.0780 (avg:15878.4309) lr 0.005000
Epoch: [04/14][791/795] Time 1.836 Data 1.711 Loss 438423.8024 (avg:15880.8900) lr 0.005000
Epoch: [05/14][001/795] Time 1.945 Data 1.857 Loss 283400.8146 (avg:11808.3673) lr 0.005000
Epoch: [05/14][011/795] Time 1.728 Data 1.636 Loss 373194.1964 (avg:15101.0924) lr 0.005000
Epoch: [05/14][021/795] Time 1.835 Data 1.710 Loss 357672.5048 (avg:15405.6985) lr 0.005000
Epoch: [05/14][031/795] Time 1.658 Data 1.594 Loss 326733.0193 (avg:15669.8753) lr 0.005000
Epoch: [05/14][041/795] Time 1.856 Data 1.745 Loss 437775.4801 (avg:16258.5937) lr 0.005000
Epoch: [05/14][051/795] Time 1.874 Data 1.745 Loss 418178.3966 (avg:16091.6191) lr 0.005000
Epoch: [05/14][061/795] Time 1.844 Data 1.722 Loss 382539.4188 (avg:16113.5179) lr 0.005000
Epoch: [05/14][071/795] Time 1.739 Data 1.679 Loss 327072.8882 (avg:16085.3742) lr 0.005000
Epoch: [05/14][081/795] Time 1.755 Data 1.632 Loss 396141.8816 (avg:16126.0460) lr 0.005000
Epoch: [05/14][091/795] Time 1.669 Data 1.595 Loss 405137.3132 (avg:16175.1511) lr 0.005000
Epoch: [05/14][101/795] Time 1.646 Data 1.538 Loss 342167.9100 (avg:16173.6991) lr 0.005000
Epoch: [05/14][111/795] Time 1.698 Data 1.595 Loss 322044.9534 (avg:16214.2617) lr 0.005000
Epoch: [05/14][121/795] Time 1.589 Data 1.474 Loss 372172.9650 (avg:16172.2827) lr 0.005000
Epoch: [05/14][131/795] Time 1.773 Data 1.676 Loss 359041.2844 (avg:16120.8327) lr 0.005000
Epoch: [05/14][141/795] Time 1.673 Data 1.591 Loss 323200.4094 (avg:16142.9355) lr 0.005000
Epoch: [05/14][151/795] Time 1.653 Data 1.559 Loss 368038.8681 (avg:16198.5194) lr 0.005000
Epoch: [05/14][161/795] Time 1.722 Data 1.646 Loss 326811.6615 (avg:16185.5954) lr 0.005000
Epoch: [05/14][171/795] Time 1.669 Data 1.604 Loss 318320.9574 (avg:16071.7799) lr 0.005000
Epoch: [05/14][181/795] Time 1.759 Data 1.683 Loss 420803.7585 (avg:16131.3061) lr 0.005000
Epoch: [05/14][191/795] Time 1.455 Data 1.381 Loss 307650.5189 (avg:16029.6466) lr 0.005000
Epoch: [05/14][201/795] Time 1.603 Data 1.551 Loss 346799.1842 (avg:15991.9419) lr 0.005000
Epoch: [05/14][211/795] Time 1.804 Data 1.725 Loss 441606.8265 (avg:16033.9784) lr 0.005000
Epoch: [05/14][221/795] Time 1.856 Data 1.794 Loss 448963.5555 (avg:15957.5248) lr 0.005000
Epoch: [05/14][231/795] Time 1.864 Data 1.763 Loss 445631.5289 (avg:15984.9846) lr 0.005000
Epoch: [05/14][241/795] Time 1.584 Data 1.492 Loss 242614.0221 (avg:15991.0073) lr 0.005000
Epoch: [05/14][251/795] Time 1.712 Data 1.652 Loss 306398.9574 (avg:16011.8787) lr 0.005000
Epoch: [05/14][261/795] Time 1.898 Data 1.795 Loss 326738.8925 (avg:16024.6649) lr 0.005000
Epoch: [05/14][271/795] Time 1.875 Data 1.753 Loss 451456.0674 (avg:16069.0698) lr 0.005000
Epoch: [05/14][281/795] Time 1.886 Data 1.782 Loss 434594.8405 (avg:16012.5116) lr 0.005000
Epoch: [05/14][291/795] Time 1.786 Data 1.727 Loss 319696.5619 (avg:16003.5883) lr 0.005000
Epoch: [05/14][301/795] Time 1.762 Data 1.702 Loss 369360.7054 (avg:15979.1641) lr 0.005000
Epoch: [05/14][311/795] Time 1.670 Data 1.612 Loss 363656.1508 (avg:15969.7666) lr 0.005000
Epoch: [05/14][321/795] Time 1.598 Data 1.534 Loss 323890.6697 (avg:15956.1915) lr 0.005000
Epoch: [05/14][331/795] Time 1.933 Data 1.832 Loss 485683.2217 (avg:15979.8414) lr 0.005000
Epoch: [05/14][341/795] Time 1.788 Data 1.666 Loss 361095.1970 (avg:15989.1321) lr 0.005000
Epoch: [05/14][351/795] Time 1.964 Data 1.904 Loss 460727.7168 (avg:15962.3331) lr 0.005000
Epoch: [05/14][361/795] Time 1.786 Data 1.680 Loss 340534.6985 (avg:15963.8420) lr 0.005000
Epoch: [05/14][371/795] Time 1.680 Data 1.617 Loss 294472.7092 (avg:15934.5303) lr 0.005000
Epoch: [05/14][381/795] Time 1.803 Data 1.720 Loss 309327.3734 (avg:15918.6893) lr 0.005000
Epoch: [05/14][391/795] Time 1.733 Data 1.622 Loss 420046.0093 (avg:15921.0700) lr 0.005000
Epoch: [05/14][401/795] Time 1.626 Data 1.552 Loss 326786.1285 (avg:15901.3412) lr 0.005000
Epoch: [05/14][411/795] Time 1.654 Data 1.550 Loss 353359.4592 (avg:15868.6961) lr 0.005000
Epoch: [05/14][421/795] Time 1.702 Data 1.622 Loss 368360.5388 (avg:15843.5033) lr 0.005000
Epoch: [05/14][431/795] Time 1.691 Data 1.602 Loss 334634.0065 (avg:15808.8375) lr 0.005000
Epoch: [05/14][441/795] Time 1.755 Data 1.676 Loss 370506.0444 (avg:15768.8486) lr 0.005000
Epoch: [05/14][451/795] Time 1.367 Data 1.293 Loss 221799.3255 (avg:15742.4413) lr 0.005000
Epoch: [05/14][461/795] Time 1.786 Data 1.661 Loss 341801.2885 (avg:15718.7763) lr 0.005000
Epoch: [05/14][471/795] Time 1.893 Data 1.768 Loss 342159.9981 (avg:15746.0710) lr 0.005000
Epoch: [05/14][481/795] Time 1.624 Data 1.500 Loss 301736.1172 (avg:15713.2691) lr 0.005000
Epoch: [05/14][491/795] Time 1.602 Data 1.550 Loss 454401.7912 (avg:15687.8439) lr 0.005000
Epoch: [05/14][501/795] Time 1.421 Data 1.372 Loss 257579.2081 (avg:15678.1511) lr 0.005000
Epoch: [05/14][511/795] Time 1.487 Data 1.412 Loss 332624.4189 (avg:15663.5350) lr 0.005000
Epoch: [05/14][521/795] Time 1.646 Data 1.594 Loss 432234.0125 (avg:15715.8826) lr 0.005000
Epoch: [05/14][531/795] Time 1.678 Data 1.583 Loss 407689.4668 (avg:15722.4995) lr 0.005000
Epoch: [05/14][541/795] Time 1.820 Data 1.706 Loss 450914.9554 (avg:15745.4260) lr 0.005000
Epoch: [05/14][551/795] Time 1.693 Data 1.644 Loss 360439.8793 (avg:15738.9774) lr 0.005000
Epoch: [05/14][561/795] Time 1.821 Data 1.768 Loss 456792.6643 (avg:15755.0271) lr 0.005000
Epoch: [05/14][571/795] Time 1.638 Data 1.543 Loss 406476.1108 (avg:15769.0764) lr 0.005000
Epoch: [05/14][581/795] Time 1.721 Data 1.617 Loss 396234.5976 (avg:15766.6276) lr 0.005000
Epoch: [05/14][591/795] Time 2.054 Data 1.947 Loss 517771.7175 (avg:15773.2180) lr 0.005000
Epoch: [05/14][601/795] Time 1.746 Data 1.620 Loss 311513.6600 (avg:15769.3875) lr 0.005000
Epoch: [05/14][611/795] Time 1.874 Data 1.770 Loss 457345.7028 (avg:15768.4509) lr 0.005000
Epoch: [05/14][621/795] Time 1.620 Data 1.557 Loss 328160.2804 (avg:15798.2882) lr 0.005000
Epoch: [05/14][631/795] Time 1.839 Data 1.715 Loss 417801.4412 (avg:15793.0852) lr 0.005000
Epoch: [05/14][641/795] Time 1.864 Data 1.779 Loss 336166.1049 (avg:15774.8593) lr 0.005000
Epoch: [05/14][651/795] Time 2.026 Data 1.903 Loss 559870.5614 (avg:15814.8263) lr 0.005000
Epoch: [05/14][661/795] Time 1.610 Data 1.531 Loss 283713.3355 (avg:15800.4665) lr 0.005000
Epoch: [05/14][671/795] Time 1.857 Data 1.792 Loss 398615.3945 (avg:15810.7992) lr 0.005000
Epoch: [05/14][681/795] Time 1.873 Data 1.813 Loss 423922.8997 (avg:15824.3481) lr 0.005000
Epoch: [05/14][691/795] Time 1.719 Data 1.656 Loss 328981.5246 (avg:15813.0448) lr 0.005000
Epoch: [05/14][701/795] Time 1.875 Data 1.789 Loss 446958.4178 (avg:15814.9010) lr 0.005000
Epoch: [05/14][711/795] Time 1.618 Data 1.557 Loss 274924.9923 (avg:15797.6010) lr 0.005000
Epoch: [05/14][721/795] Time 1.881 Data 1.778 Loss 467430.2052 (avg:15806.2547) lr 0.005000
Epoch: [05/14][731/795] Time 1.728 Data 1.644 Loss 447675.6809 (avg:15826.6748) lr 0.005000
Epoch: [05/14][741/795] Time 1.638 Data 1.565 Loss 335566.0141 (avg:15811.8731) lr 0.005000
Epoch: [05/14][751/795] Time 1.717 Data 1.603 Loss 427633.6089 (avg:15814.3728) lr 0.005000
Epoch: [05/14][761/795] Time 1.869 Data 1.773 Loss 485123.7540 (avg:15818.4468) lr 0.005000
Epoch: [05/14][771/795] Time 1.741 Data 1.689 Loss 418859.4305 (avg:15818.9765) lr 0.005000
Epoch: [05/14][781/795] Time 1.746 Data 1.697 Loss 412796.4238 (avg:15824.8523) lr 0.005000
Epoch: [05/14][791/795] Time 1.470 Data 1.422 Loss 285261.0586 (avg:15811.5508) lr 0.005000
Epoch: [06/14][001/795] Time 1.749 Data 1.686 Loss 239216.5658 (avg:9967.3569) lr 0.005000
Epoch: [06/14][011/795] Time 1.644 Data 1.582 Loss 272205.0698 (avg:15945.3560) lr 0.005000
Epoch: [06/14][021/795] Time 1.834 Data 1.724 Loss 358405.2584 (avg:15177.1006) lr 0.005000
Epoch: [06/14][031/795] Time 1.884 Data 1.760 Loss 489841.2726 (avg:15729.0272) lr 0.005000
Epoch: [06/14][041/795] Time 1.503 Data 1.426 Loss 287969.5246 (avg:15577.6189) lr 0.005000
Epoch: [06/14][051/795] Time 1.703 Data 1.614 Loss 386913.8054 (avg:15781.9798) lr 0.005000
Epoch: [06/14][061/795] Time 1.833 Data 1.750 Loss 406902.0647 (avg:15948.0876) lr 0.005000
Epoch: [06/14][071/795] Time 1.645 Data 1.564 Loss 355345.1712 (avg:15822.1649) lr 0.005000
Epoch: [06/14][081/795] Time 1.707 Data 1.625 Loss 354171.4653 (avg:15836.7758) lr 0.005000
Epoch: [06/14][091/795] Time 1.935 Data 1.831 Loss 435871.6605 (avg:15654.9086) lr 0.005000
Epoch: [06/14][101/795] Time 1.740 Data 1.682 Loss 326902.8697 (avg:15767.1390) lr 0.005000
Epoch: [06/14][111/795] Time 1.812 Data 1.686 Loss 432901.4130 (avg:15804.5880) lr 0.005000
Epoch: [06/14][121/795] Time 1.857 Data 1.747 Loss 389411.0455 (avg:15892.4599) lr 0.005000
Epoch: [06/14][131/795] Time 1.753 Data 1.626 Loss 416198.3714 (avg:15695.6076) lr 0.005000
Epoch: [06/14][141/795] Time 1.629 Data 1.526 Loss 270747.5550 (avg:15572.3635) lr 0.005000
Epoch: [06/14][151/795] Time 1.912 Data 1.850 Loss 399522.2126 (avg:15525.2960) lr 0.005000
Epoch: [06/14][161/795] Time 1.751 Data 1.690 Loss 295182.1248 (avg:15513.5342) lr 0.005000
Epoch: [06/14][171/795] Time 1.654 Data 1.531 Loss 259759.7199 (avg:15523.2540) lr 0.005000
Epoch: [06/14][181/795] Time 1.632 Data 1.544 Loss 317937.3637 (avg:15575.7795) lr 0.005000
Epoch: [06/14][191/795] Time 1.842 Data 1.734 Loss 350771.0750 (avg:15568.1924) lr 0.005000
Epoch: [06/14][201/795] Time 1.791 Data 1.705 Loss 328998.9939 (avg:15604.5349) lr 0.005000
Epoch: [06/14][211/795] Time 1.711 Data 1.649 Loss 399307.6141 (avg:15589.2261) lr 0.005000
Epoch: [06/14][221/795] Time 1.586 Data 1.462 Loss 291970.7766 (avg:15556.2536) lr 0.005000
Epoch: [06/14][231/795] Time 1.892 Data 1.834 Loss 533227.4993 (avg:15544.6731) lr 0.005000
Epoch: [06/14][241/795] Time 1.836 Data 1.707 Loss 424345.1164 (avg:15639.8532) lr 0.005000
Epoch: [06/14][251/795] Time 1.715 Data 1.656 Loss 355340.1331 (avg:15609.4137) lr 0.005000
Epoch: [06/14][261/795] Time 1.843 Data 1.759 Loss 453910.2362 (avg:15621.1084) lr 0.005000
Epoch: [06/14][271/795] Time 1.483 Data 1.409 Loss 355992.4571 (avg:15629.1838) lr 0.005000
Epoch: [06/14][281/795] Time 1.724 Data 1.607 Loss 379156.0951 (avg:15652.9694) lr 0.005000
Epoch: [06/14][291/795] Time 1.779 Data 1.727 Loss 424909.9991 (avg:15712.9858) lr 0.005000
Epoch: [06/14][301/795] Time 1.771 Data 1.696 Loss 395129.4253 (avg:15745.6485) lr 0.005000
Epoch: [06/14][311/795] Time 1.881 Data 1.767 Loss 488478.4799 (avg:15773.8907) lr 0.005000
Epoch: [06/14][321/795] Time 1.768 Data 1.694 Loss 366392.1100 (avg:15752.0081) lr 0.005000
Epoch: [06/14][331/795] Time 1.745 Data 1.664 Loss 371643.9712 (avg:15781.5835) lr 0.005000
Epoch: [06/14][341/795] Time 1.731 Data 1.626 Loss 416924.4146 (avg:15766.5370) lr 0.005000
Epoch: [06/14][351/795] Time 1.596 Data 1.515 Loss 283942.1441 (avg:15709.2760) lr 0.005000
Epoch: [06/14][361/795] Time 1.707 Data 1.582 Loss 321868.0931 (avg:15753.5635) lr 0.005000
Epoch: [06/14][371/795] Time 1.637 Data 1.588 Loss 361990.4431 (avg:15730.6961) lr 0.005000
Epoch: [06/14][381/795] Time 1.685 Data 1.591 Loss 485979.6597 (avg:15767.9787) lr 0.005000
Epoch: [06/14][391/795] Time 1.339 Data 1.287 Loss 202460.2441 (avg:15741.4029) lr 0.005000
Epoch: [06/14][401/795] Time 1.747 Data 1.639 Loss 305122.5644 (avg:15729.9165) lr 0.005000
Epoch: [06/14][411/795] Time 1.803 Data 1.724 Loss 359408.4245 (avg:15720.9914) lr 0.005000
Epoch: [06/14][421/795] Time 1.594 Data 1.531 Loss 258656.9877 (avg:15715.1107) lr 0.005000
Epoch: [06/14][431/795] Time 1.749 Data 1.654 Loss 483351.5426 (avg:15727.4809) lr 0.005000
Epoch: [06/14][441/795] Time 1.668 Data 1.573 Loss 316229.9879 (avg:15712.2158) lr 0.005000
Epoch: [06/14][451/795] Time 1.876 Data 1.760 Loss 452898.7918 (avg:15743.3642) lr 0.005000
Epoch: [06/14][461/795] Time 1.694 Data 1.620 Loss 396691.1783 (avg:15723.1538) lr 0.005000
Epoch: [06/14][471/795] Time 1.588 Data 1.473 Loss 422828.3931 (avg:15736.8190) lr 0.005000
Epoch: [06/14][481/795] Time 1.650 Data 1.584 Loss 306367.1282 (avg:15736.2578) lr 0.005000
Epoch: [06/14][491/795] Time 1.708 Data 1.621 Loss 375612.5880 (avg:15726.9989) lr 0.005000
Epoch: [06/14][501/795] Time 1.636 Data 1.511 Loss 254112.8402 (avg:15703.7612) lr 0.005000
Epoch: [06/14][511/795] Time 1.783 Data 1.702 Loss 397445.3370 (avg:15708.3777) lr 0.005000
Epoch: [06/14][521/795] Time 1.804 Data 1.675 Loss 383704.2613 (avg:15721.3858) lr 0.005000
Epoch: [06/14][531/795] Time 1.806 Data 1.746 Loss 449552.2179 (avg:15688.8283) lr 0.005000
Epoch: [06/14][541/795] Time 1.863 Data 1.759 Loss 460095.8675 (avg:15712.3186) lr 0.005000
Epoch: [06/14][551/795] Time 1.647 Data 1.584 Loss 273280.2223 (avg:15714.2038) lr 0.005000
Epoch: [06/14][561/795] Time 1.589 Data 1.485 Loss 293461.4566 (avg:15682.2695) lr 0.005000
Epoch: [06/14][571/795] Time 1.813 Data 1.708 Loss 442411.7326 (avg:15687.0991) lr 0.005000
Epoch: [06/14][581/795] Time 1.961 Data 1.837 Loss 553064.2282 (avg:15685.9541) lr 0.005000
Epoch: [06/14][591/795] Time 1.944 Data 1.837 Loss 524313.4550 (avg:15706.1476) lr 0.005000
Epoch: [06/14][601/795] Time 1.773 Data 1.692 Loss 404975.6951 (avg:15698.8074) lr 0.005000
Epoch: [06/14][611/795] Time 1.876 Data 1.793 Loss 347965.6309 (avg:15691.7301) lr 0.005000
Epoch: [06/14][621/795] Time 1.702 Data 1.622 Loss 370399.5972 (avg:15681.6950) lr 0.005000
Epoch: [06/14][631/795] Time 2.034 Data 1.930 Loss 498095.9785 (avg:15683.9068) lr 0.005000
Epoch: [06/14][641/795] Time 1.862 Data 1.748 Loss 389744.2481 (avg:15678.2103) lr 0.005000
Epoch: [06/14][651/795] Time 1.692 Data 1.625 Loss 322969.7504 (avg:15666.4537) lr 0.005000
Epoch: [06/14][661/795] Time 1.807 Data 1.747 Loss 471746.9706 (avg:15678.5627) lr 0.005000
Epoch: [06/14][671/795] Time 1.809 Data 1.756 Loss 464156.5056 (avg:15692.5030) lr 0.005000
Epoch: [06/14][681/795] Time 1.623 Data 1.575 Loss 403385.6911 (avg:15705.4732) lr 0.005000
Epoch: [06/14][691/795] Time 1.843 Data 1.756 Loss 402520.6076 (avg:15683.0000) lr 0.005000
Epoch: [06/14][701/795] Time 1.758 Data 1.658 Loss 371903.7804 (avg:15693.1004) lr 0.005000
Epoch: [06/14][711/795] Time 1.873 Data 1.750 Loss 522005.9275 (avg:15701.4480) lr 0.005000
Epoch: [06/14][721/795] Time 1.745 Data 1.637 Loss 389227.4444 (avg:15700.8833) lr 0.005000
Epoch: [06/14][731/795] Time 1.714 Data 1.645 Loss 342085.3308 (avg:15682.4189) lr 0.005000
Epoch: [06/14][741/795] Time 1.717 Data 1.633 Loss 339712.0836 (avg:15699.4971) lr 0.005000
Epoch: [06/14][751/795] Time 1.842 Data 1.755 Loss 281603.2271 (avg:15707.2220) lr 0.005000
Epoch: [06/14][761/795] Time 1.858 Data 1.751 Loss 398455.6941 (avg:15705.6146) lr 0.005000
Epoch: [06/14][771/795] Time 1.729 Data 1.670 Loss 378277.1773 (avg:15699.5854) lr 0.005000
Epoch: [06/14][781/795] Time 1.661 Data 1.599 Loss 406380.3156 (avg:15711.6931) lr 0.005000
Epoch: [06/14][791/795] Time 1.858 Data 1.760 Loss 392506.6296 (avg:15720.9741) lr 0.005000
Epoch: [07/14][001/795] Time 1.992 Data 1.889 Loss 485311.0708 (avg:20221.2946) lr 0.005000
Epoch: [07/14][011/795] Time 1.568 Data 1.507 Loss 271187.3398 (avg:16404.1805) lr 0.005000
Epoch: [07/14][021/795] Time 1.637 Data 1.552 Loss 296632.8275 (avg:15998.6256) lr 0.005000
Epoch: [07/14][031/795] Time 1.790 Data 1.705 Loss 438668.0726 (avg:15977.0549) lr 0.005000
Epoch: [07/14][041/795] Time 1.762 Data 1.703 Loss 405795.3477 (avg:16051.8687) lr 0.005000
Epoch: [07/14][051/795] Time 1.766 Data 1.706 Loss 325149.5207 (avg:15857.4672) lr 0.005000
Epoch: [07/14][061/795] Time 1.768 Data 1.684 Loss 438266.7019 (avg:16007.0122) lr 0.005000
Epoch: [07/14][071/795] Time 1.799 Data 1.733 Loss 457820.4291 (avg:15900.0851) lr 0.005000
Epoch: [07/14][081/795] Time 1.763 Data 1.682 Loss 387435.5907 (avg:15781.3837) lr 0.005000
Epoch: [07/14][091/795] Time 1.791 Data 1.727 Loss 288501.8981 (avg:15781.7406) lr 0.005000
Epoch: [07/14][101/795] Time 1.733 Data 1.630 Loss 375451.7032 (avg:15883.7032) lr 0.005000
Epoch: [07/14][111/795] Time 1.692 Data 1.564 Loss 320426.2081 (avg:15671.4477) lr 0.005000
Epoch: [07/14][121/795] Time 1.717 Data 1.634 Loss 334623.1348 (avg:15553.3594) lr 0.005000
Epoch: [07/14][131/795] Time 1.823 Data 1.738 Loss 484346.1051 (avg:15567.4828) lr 0.005000
Epoch: [07/14][141/795] Time 1.800 Data 1.672 Loss 384609.7702 (avg:15538.9761) lr 0.005000
Epoch: [07/14][151/795] Time 1.627 Data 1.565 Loss 282755.5832 (avg:15454.8949) lr 0.005000
Epoch: [07/14][161/795] Time 1.645 Data 1.562 Loss 361194.9622 (avg:15347.7398) lr 0.005000
Epoch: [07/14][171/795] Time 1.739 Data 1.679 Loss 354890.6331 (avg:15422.6746) lr 0.005000
Epoch: [07/14][181/795] Time 1.876 Data 1.810 Loss 395770.9280 (avg:15465.3806) lr 0.005000
Epoch: [07/14][191/795] Time 1.879 Data 1.774 Loss 446592.4617 (avg:15515.9314) lr 0.005000
Epoch: [07/14][201/795] Time 1.823 Data 1.692 Loss 360337.9454 (avg:15566.9761) lr 0.005000
Epoch: [07/14][211/795] Time 1.580 Data 1.499 Loss 346438.5222 (avg:15596.4147) lr 0.005000
Epoch: [07/14][221/795] Time 1.653 Data 1.527 Loss 316203.9016 (avg:15525.5300) lr 0.005000
Epoch: [07/14][231/795] Time 1.846 Data 1.780 Loss 508974.3701 (avg:15579.2085) lr 0.005000
Epoch: [07/14][241/795] Time 1.866 Data 1.779 Loss 405832.2699 (avg:15602.1546) lr 0.005000
Epoch: [07/14][251/795] Time 1.764 Data 1.661 Loss 347583.6303 (avg:15613.5559) lr 0.005000
Epoch: [07/14][261/795] Time 1.640 Data 1.552 Loss 332039.3029 (avg:15654.8163) lr 0.005000
Epoch: [07/14][271/795] Time 1.863 Data 1.739 Loss 370380.3026 (avg:15644.6599) lr 0.005000
Epoch: [07/14][281/795] Time 1.806 Data 1.727 Loss 350633.2676 (avg:15678.3927) lr 0.005000
Epoch: [07/14][291/795] Time 1.805 Data 1.737 Loss 462918.1789 (avg:15676.0048) lr 0.005000
Epoch: [07/14][301/795] Time 1.493 Data 1.409 Loss 202629.0489 (avg:15613.4535) lr 0.005000
Epoch: [07/14][311/795] Time 1.645 Data 1.551 Loss 336744.4876 (avg:15640.4227) lr 0.005000
Epoch: [07/14][321/795] Time 1.768 Data 1.664 Loss 441682.3987 (avg:15657.5262) lr 0.005000
Epoch: [07/14][331/795] Time 1.657 Data 1.605 Loss 388118.9731 (avg:15662.5822) lr 0.005000
Epoch: [07/14][341/795] Time 1.870 Data 1.791 Loss 473702.0864 (avg:15685.7057) lr 0.005000
Epoch: [07/14][351/795] Time 1.875 Data 1.789 Loss 418641.1957 (avg:15673.2637) lr 0.005000
Epoch: [07/14][361/795] Time 1.751 Data 1.680 Loss 366509.3167 (avg:15666.0828) lr 0.005000
Epoch: [07/14][371/795] Time 1.674 Data 1.548 Loss 323305.7686 (avg:15641.1722) lr 0.005000
Epoch: [07/14][381/795] Time 1.623 Data 1.563 Loss 330747.2618 (avg:15614.2674) lr 0.005000
Epoch: [07/14][391/795] Time 1.735 Data 1.610 Loss 368852.7731 (avg:15683.1538) lr 0.005000
Epoch: [07/14][401/795] Time 1.623 Data 1.562 Loss 314707.8366 (avg:15680.7755) lr 0.005000
Epoch: [07/14][411/795] Time 1.814 Data 1.729 Loss 406579.3949 (avg:15694.5251) lr 0.005000
Epoch: [07/14][421/795] Time 1.659 Data 1.537 Loss 328603.1954 (avg:15685.5775) lr 0.005000
Epoch: [07/14][431/795] Time 1.866 Data 1.803 Loss 364159.3109 (avg:15662.6500) lr 0.005000
Epoch: [07/14][441/795] Time 1.648 Data 1.563 Loss 335573.7900 (avg:15679.4992) lr 0.005000
Epoch: [07/14][451/795] Time 1.580 Data 1.497 Loss 273371.3049 (avg:15666.0770) lr 0.005000
Epoch: [07/14][461/795] Time 1.769 Data 1.686 Loss 400487.8526 (avg:15665.1279) lr 0.005000
Epoch: [07/14][471/795] Time 1.859 Data 1.756 Loss 496898.8986 (avg:15659.1055) lr 0.005000
Epoch: [07/14][481/795] Time 1.693 Data 1.605 Loss 333438.2130 (avg:15641.2577) lr 0.005000
Epoch: [07/14][491/795] Time 1.731 Data 1.666 Loss 449860.3023 (avg:15642.5884) lr 0.005000
Epoch: [07/14][501/795] Time 1.657 Data 1.577 Loss 325747.6922 (avg:15641.6608) lr 0.005000
Epoch: [07/14][511/795] Time 1.767 Data 1.706 Loss 348733.9911 (avg:15638.6771) lr 0.005000
Epoch: [07/14][521/795] Time 1.872 Data 1.811 Loss 378004.3405 (avg:15637.4645) lr 0.005000
Epoch: [07/14][531/795] Time 1.832 Data 1.728 Loss 425416.4039 (avg:15645.0440) lr 0.005000
Epoch: [07/14][541/795] Time 2.025 Data 1.963 Loss 452845.5228 (avg:15626.4899) lr 0.005000
Epoch: [07/14][551/795] Time 1.897 Data 1.836 Loss 410897.9481 (avg:15633.3454) lr 0.005000
Epoch: [07/14][561/795] Time 1.604 Data 1.556 Loss 317487.0505 (avg:15615.6535) lr 0.005000
Epoch: [07/14][571/795] Time 1.805 Data 1.690 Loss 402035.6376 (avg:15625.8123) lr 0.005000
Epoch: [07/14][581/795] Time 1.646 Data 1.586 Loss 283764.7570 (avg:15643.4630) lr 0.005000
Epoch: [07/14][591/795] Time 1.763 Data 1.701 Loss 296220.5524 (avg:15646.1708) lr 0.005000
Epoch: [07/14][601/795] Time 1.700 Data 1.573 Loss 258674.6298 (avg:15617.4470) lr 0.005000
Epoch: [07/14][611/795] Time 1.786 Data 1.701 Loss 426030.1214 (avg:15615.6921) lr 0.005000
Epoch: [07/14][621/795] Time 1.700 Data 1.588 Loss 300063.9238 (avg:15629.6335) lr 0.005000
Epoch: [07/14][631/795] Time 1.744 Data 1.661 Loss 371175.0265 (avg:15627.9512) lr 0.005000
Epoch: [07/14][641/795] Time 1.604 Data 1.488 Loss 278375.5758 (avg:15648.1003) lr 0.005000
Epoch: [07/14][651/795] Time 1.560 Data 1.465 Loss 347158.5619 (avg:15657.9856) lr 0.005000
Epoch: [07/14][661/795] Time 1.614 Data 1.536 Loss 297114.2808 (avg:15642.6077) lr 0.005000
Epoch: [07/14][671/795] Time 1.990 Data 1.922 Loss 415617.8081 (avg:15658.4365) lr 0.005000
Epoch: [07/14][681/795] Time 1.934 Data 1.872 Loss 440212.5605 (avg:15667.5459) lr 0.005000
Epoch: [07/14][691/795] Time 1.814 Data 1.713 Loss 369656.9711 (avg:15673.6543) lr 0.005000
Epoch: [07/14][701/795] Time 1.658 Data 1.571 Loss 404150.2650 (avg:15679.5621) lr 0.005000
Epoch: [07/14][711/795] Time 1.699 Data 1.618 Loss 302859.1646 (avg:15667.4838) lr 0.005000
Epoch: [07/14][721/795] Time 1.738 Data 1.634 Loss 451120.1159 (avg:15661.3092) lr 0.005000
Epoch: [07/14][731/795] Time 1.903 Data 1.820 Loss 415895.7916 (avg:15669.5992) lr 0.005000
Epoch: [07/14][741/795] Time 1.564 Data 1.515 Loss 284267.0253 (avg:15681.1157) lr 0.005000
Epoch: [07/14][751/795] Time 1.882 Data 1.799 Loss 446135.3921 (avg:15706.4749) lr 0.005000
Epoch: [07/14][761/795] Time 1.638 Data 1.579 Loss 296004.8834 (avg:15689.6138) lr 0.005000
Epoch: [07/14][771/795] Time 1.825 Data 1.719 Loss 352563.4714 (avg:15684.3219) lr 0.005000
Epoch: [07/14][781/795] Time 1.761 Data 1.698 Loss 374592.2961 (avg:15683.0471) lr 0.005000
Epoch: [07/14][791/795] Time 1.861 Data 1.774 Loss 413885.0108 (avg:15681.7996) lr 0.005000
Epoch: [08/14][001/795] Time 2.189 Data 2.087 Loss 549916.9600 (avg:22913.2067) lr 0.000500
Epoch: [08/14][011/795] Time 1.722 Data 1.601 Loss 322567.8038 (avg:14807.5650) lr 0.000500
Epoch: [08/14][021/795] Time 1.829 Data 1.705 Loss 396712.3697 (avg:15856.7454) lr 0.000500
Epoch: [08/14][031/795] Time 1.695 Data 1.636 Loss 303372.5686 (avg:15687.7700) lr 0.000500
Epoch: [08/14][041/795] Time 1.902 Data 1.841 Loss 465096.1440 (avg:15903.7622) lr 0.000500
Epoch: [08/14][051/795] Time 1.831 Data 1.748 Loss 464424.4238 (avg:16101.6542) lr 0.000500
Epoch: [08/14][061/795] Time 1.768 Data 1.663 Loss 393078.5334 (avg:16019.8141) lr 0.000500
Epoch: [08/14][071/795] Time 1.662 Data 1.579 Loss 316484.0122 (avg:15761.9150) lr 0.000500
Epoch: [08/14][081/795] Time 1.745 Data 1.640 Loss 404471.1642 (avg:15642.4542) lr 0.000500
Epoch: [08/14][091/795] Time 1.740 Data 1.651 Loss 317958.3716 (avg:15728.3121) lr 0.000500
Epoch: [08/14][101/795] Time 1.734 Data 1.671 Loss 390064.3979 (avg:15785.2567) lr 0.000500
Epoch: [08/14][111/795] Time 1.710 Data 1.649 Loss 306402.6522 (avg:15800.9303) lr 0.000500
Epoch: [08/14][121/795] Time 1.680 Data 1.601 Loss 339223.5282 (avg:15710.7814) lr 0.000500
Epoch: [08/14][131/795] Time 1.644 Data 1.562 Loss 362480.6865 (avg:15725.1636) lr 0.000500
Epoch: [08/14][141/795] Time 1.729 Data 1.647 Loss 379088.8986 (avg:15697.6360) lr 0.000500
Epoch: [08/14][151/795] Time 1.628 Data 1.521 Loss 328982.3537 (avg:15709.9498) lr 0.000500
Epoch: [08/14][161/795] Time 1.776 Data 1.695 Loss 284457.5961 (avg:15692.2915) lr 0.000500
Epoch: [08/14][171/795] Time 1.798 Data 1.714 Loss 405283.3497 (avg:15664.6285) lr 0.000500
Epoch: [08/14][181/795] Time 2.012 Data 1.909 Loss 446894.5154 (avg:15629.4885) lr 0.000500
Epoch: [08/14][191/795] Time 1.612 Data 1.526 Loss 239446.1718 (avg:15523.3841) lr 0.000500
Epoch: [08/14][201/795] Time 1.759 Data 1.659 Loss 369966.9622 (avg:15508.7207) lr 0.000500
Epoch: [08/14][211/795] Time 1.863 Data 1.779 Loss 469092.0167 (avg:15527.2041) lr 0.000500
Epoch: [08/14][221/795] Time 1.831 Data 1.766 Loss 357491.3798 (avg:15507.1509) lr 0.000500
Epoch: [08/14][231/795] Time 1.861 Data 1.780 Loss 462475.1422 (avg:15491.9159) lr 0.000500
Epoch: [08/14][241/795] Time 1.785 Data 1.659 Loss 355256.5856 (avg:15402.1490) lr 0.000500
Epoch: [08/14][251/795] Time 1.692 Data 1.609 Loss 313459.0215 (avg:15375.3108) lr 0.000500
Epoch: [08/14][261/795] Time 1.793 Data 1.684 Loss 385077.2946 (avg:15378.0194) lr 0.000500
Epoch: [08/14][271/795] Time 1.813 Data 1.734 Loss 427642.4298 (avg:15393.2340) lr 0.000500
Epoch: [08/14][281/795] Time 1.986 Data 1.923 Loss 431427.0462 (avg:15429.8465) lr 0.000500
Epoch: [08/14][291/795] Time 1.666 Data 1.599 Loss 338521.4393 (avg:15447.2580) lr 0.000500
Epoch: [08/14][301/795] Time 1.730 Data 1.643 Loss 269105.6115 (avg:15411.6254) lr 0.000500
Epoch: [08/14][311/795] Time 1.536 Data 1.452 Loss 269121.1668 (avg:15372.1460) lr 0.000500
Epoch: [08/14][321/795] Time 1.765 Data 1.679 Loss 310528.6607 (avg:15324.3486) lr 0.000500
Epoch: [08/14][331/795] Time 1.778 Data 1.718 Loss 377945.9561 (avg:15327.4830) lr 0.000500
Epoch: [08/14][341/795] Time 1.715 Data 1.651 Loss 272410.7571 (avg:15342.2448) lr 0.000500
Epoch: [08/14][351/795] Time 1.656 Data 1.592 Loss 302282.2585 (avg:15367.9420) lr 0.000500
Epoch: [08/14][361/795] Time 1.940 Data 1.855 Loss 420856.3573 (avg:15390.4635) lr 0.000500
Epoch: [08/14][371/795] Time 1.716 Data 1.652 Loss 354875.7429 (avg:15357.9179) lr 0.000500
Epoch: [08/14][381/795] Time 1.825 Data 1.767 Loss 367599.7419 (avg:15384.0761) lr 0.000500
Epoch: [08/14][391/795] Time 1.743 Data 1.692 Loss 471272.0200 (avg:15391.8737) lr 0.000500
Epoch: [08/14][401/795] Time 1.833 Data 1.754 Loss 444444.1959 (avg:15380.9129) lr 0.000500
Epoch: [08/14][411/795] Time 1.625 Data 1.552 Loss 328213.8973 (avg:15357.8691) lr 0.000500
Epoch: [08/14][421/795] Time 1.676 Data 1.624 Loss 334458.8271 (avg:15375.9125) lr 0.000500
Epoch: [08/14][431/795] Time 1.631 Data 1.546 Loss 296771.5033 (avg:15368.4950) lr 0.000500
Epoch: [08/14][441/795] Time 1.756 Data 1.635 Loss 305539.6170 (avg:15367.1322) lr 0.000500
Epoch: [08/14][451/795] Time 1.628 Data 1.534 Loss 377671.4218 (avg:15383.3149) lr 0.000500
Epoch: [08/14][461/795] Time 1.559 Data 1.510 Loss 336515.8693 (avg:15362.8680) lr 0.000500
Epoch: [08/14][471/795] Time 1.715 Data 1.608 Loss 320268.9229 (avg:15357.4066) lr 0.000500
Epoch: [08/14][481/795] Time 1.655 Data 1.592 Loss 248379.1965 (avg:15351.6587) lr 0.000500
Epoch: [08/14][491/795] Time 1.544 Data 1.471 Loss 279930.8296 (avg:15312.3468) lr 0.000500
Epoch: [08/14][501/795] Time 1.567 Data 1.516 Loss 374968.4775 (avg:15293.7335) lr 0.000500
Epoch: [08/14][511/795] Time 1.631 Data 1.583 Loss 341006.1444 (avg:15284.5846) lr 0.000500
Epoch: [08/14][521/795] Time 1.464 Data 1.414 Loss 272188.9144 (avg:15252.0096) lr 0.000500
Epoch: [08/14][531/795] Time 1.497 Data 1.422 Loss 314968.9008 (avg:15230.5115) lr 0.000500
Epoch: [08/14][541/795] Time 1.822 Data 1.773 Loss 471291.0034 (avg:15239.2732) lr 0.000500
Epoch: [08/14][551/795] Time 1.584 Data 1.510 Loss 378379.1922 (avg:15226.5938) lr 0.000500
Epoch: [08/14][561/795] Time 1.619 Data 1.545 Loss 395481.8490 (avg:15209.1159) lr 0.000500
Epoch: [08/14][571/795] Time 1.519 Data 1.468 Loss 261537.4295 (avg:15199.5080) lr 0.000500
Epoch: [08/14][581/795] Time 1.504 Data 1.453 Loss 310334.1921 (avg:15199.6608) lr 0.000500
Epoch: [08/14][591/795] Time 1.655 Data 1.603 Loss 325800.5738 (avg:15200.6055) lr 0.000500
Epoch: [08/14][601/795] Time 1.878 Data 1.752 Loss 384773.8844 (avg:15210.2859) lr 0.000500
Epoch: [08/14][611/795] Time 1.485 Data 1.434 Loss 304572.7856 (avg:15221.4040) lr 0.000500
Epoch: [08/14][621/795] Time 1.675 Data 1.582 Loss 421155.9019 (avg:15188.3110) lr 0.000500
Epoch: [08/14][631/795] Time 1.791 Data 1.740 Loss 465245.0757 (avg:15202.7339) lr 0.000500
Epoch: [08/14][641/795] Time 1.927 Data 1.803 Loss 455133.3896 (avg:15207.3863) lr 0.000500
Epoch: [08/14][651/795] Time 1.822 Data 1.761 Loss 390449.0785 (avg:15214.8561) lr 0.000500
Epoch: [08/14][661/795] Time 1.650 Data 1.590 Loss 325326.0068 (avg:15223.9488) lr 0.000500
Epoch: [08/14][671/795] Time 1.718 Data 1.636 Loss 328317.7392 (avg:15222.3488) lr 0.000500
Epoch: [08/14][681/795] Time 1.751 Data 1.692 Loss 383052.3130 (avg:15226.2084) lr 0.000500
Epoch: [08/14][691/795] Time 1.706 Data 1.581 Loss 338647.6892 (avg:15234.8768) lr 0.000500
Epoch: [08/14][701/795] Time 1.775 Data 1.693 Loss 449375.5195 (avg:15242.2467) lr 0.000500
Epoch: [08/14][711/795] Time 1.910 Data 1.829 Loss 418636.4331 (avg:15230.8193) lr 0.000500
Epoch: [08/14][721/795] Time 1.667 Data 1.604 Loss 391955.2227 (avg:15221.0036) lr 0.000500
Epoch: [08/14][731/795] Time 1.708 Data 1.620 Loss 333336.8980 (avg:15201.2074) lr 0.000500
Epoch: [08/14][741/795] Time 1.871 Data 1.768 Loss 554553.0784 (avg:15222.4145) lr 0.000500
Epoch: [08/14][751/795] Time 1.904 Data 1.802 Loss 392999.8134 (avg:15232.6457) lr 0.000500
Epoch: [08/14][761/795] Time 1.854 Data 1.730 Loss 413318.2485 (avg:15245.9452) lr 0.000500
Epoch: [08/14][771/795] Time 1.693 Data 1.635 Loss 223554.5775 (avg:15233.7460) lr 0.000500
Epoch: [08/14][781/795] Time 1.695 Data 1.610 Loss 399546.2788 (avg:15243.2432) lr 0.000500
Epoch: [08/14][791/795] Time 1.828 Data 1.723 Loss 386086.8936 (avg:15251.5887) lr 0.000500
Epoch: [09/14][001/795] Time 1.910 Data 1.844 Loss 409646.3132 (avg:17068.5964) lr 0.000500
Epoch: [09/14][011/795] Time 1.728 Data 1.644 Loss 371690.6715 (avg:16698.0717) lr 0.000500
Epoch: [09/14][021/795] Time 1.719 Data 1.615 Loss 354331.1986 (avg:15748.5853) lr 0.000500
Epoch: [09/14][031/795] Time 1.550 Data 1.435 Loss 291134.1317 (avg:15544.4668) lr 0.000500
Epoch: [09/14][041/795] Time 1.835 Data 1.719 Loss 458494.6088 (avg:15279.6459) lr 0.000500
Epoch: [09/14][051/795] Time 1.640 Data 1.523 Loss 335478.4503 (avg:15416.5800) lr 0.000500
Epoch: [09/14][061/795] Time 1.841 Data 1.779 Loss 444245.6067 (avg:15368.5506) lr 0.000500
Epoch: [09/14][071/795] Time 1.707 Data 1.627 Loss 327568.3482 (avg:15340.3600) lr 0.000500
Epoch: [09/14][081/795] Time 1.700 Data 1.612 Loss 346967.4060 (avg:15478.3382) lr 0.000500
Epoch: [09/14][091/795] Time 1.641 Data 1.558 Loss 255188.4232 (avg:15343.6169) lr 0.000500
Epoch: [09/14][101/795] Time 1.871 Data 1.801 Loss 438055.3723 (avg:15298.2847) lr 0.000500
Epoch: [09/14][111/795] Time 1.943 Data 1.855 Loss 466517.9261 (avg:15323.2360) lr 0.000500
Epoch: [09/14][121/795] Time 1.717 Data 1.660 Loss 386137.7184 (avg:15264.3397) lr 0.000500
Epoch: [09/14][131/795] Time 1.807 Data 1.681 Loss 396037.1714 (avg:15166.5251) lr 0.000500
Epoch: [09/14][141/795] Time 1.897 Data 1.810 Loss 410260.8938 (avg:15281.9673) lr 0.000500
Epoch: [09/14][151/795] Time 1.889 Data 1.764 Loss 391103.1941 (avg:15361.1848) lr 0.000500
Epoch: [09/14][161/795] Time 1.733 Data 1.648 Loss 348271.7962 (avg:15293.1061) lr 0.000500
Epoch: [09/14][171/795] Time 1.744 Data 1.656 Loss 384922.7487 (avg:15281.5568) lr 0.000500
Epoch: [09/14][181/795] Time 1.736 Data 1.657 Loss 370534.2774 (avg:15251.9321) lr 0.000500
Epoch: [09/14][191/795] Time 1.727 Data 1.665 Loss 364100.4174 (avg:15297.6165) lr 0.000500
Epoch: [09/14][201/795] Time 1.697 Data 1.592 Loss 312022.9445 (avg:15311.0091) lr 0.000500
Epoch: [09/14][211/795] Time 1.547 Data 1.464 Loss 240143.5585 (avg:15326.7245) lr 0.000500
Epoch: [09/14][221/795] Time 1.605 Data 1.542 Loss 325898.7128 (avg:15262.2453) lr 0.000500
Epoch: [09/14][231/795] Time 1.747 Data 1.624 Loss 336683.0797 (avg:15220.0817) lr 0.000500
Epoch: [09/14][241/795] Time 1.683 Data 1.620 Loss 377178.6742 (avg:15239.5909) lr 0.000500
Epoch: [09/14][251/795] Time 1.782 Data 1.675 Loss 407477.1934 (avg:15232.6347) lr 0.000500
Epoch: [09/14][261/795] Time 1.806 Data 1.721 Loss 472781.3412 (avg:15248.1459) lr 0.000500
Epoch: [09/14][271/795] Time 1.714 Data 1.592 Loss 339358.9404 (avg:15270.5649) lr 0.000500
Epoch: [09/14][281/795] Time 1.726 Data 1.641 Loss 332623.5457 (avg:15254.1868) lr 0.000500
Epoch: [09/14][291/795] Time 1.730 Data 1.643 Loss 350308.5051 (avg:15236.5789) lr 0.000500
Epoch: [09/14][301/795] Time 1.759 Data 1.634 Loss 278083.3627 (avg:15236.0050) lr 0.000500
Epoch: [09/14][311/795] Time 1.735 Data 1.671 Loss 320099.9731 (avg:15207.0167) lr 0.000500
Epoch: [09/14][321/795] Time 1.653 Data 1.569 Loss 285735.0895 (avg:15201.4159) lr 0.000500
Epoch: [09/14][331/795] Time 1.933 Data 1.829 Loss 384747.5635 (avg:15177.5977) lr 0.000500
Epoch: [09/14][341/795] Time 1.854 Data 1.784 Loss 398085.3893 (avg:15159.4651) lr 0.000500
Epoch: [09/14][351/795] Time 1.855 Data 1.782 Loss 404476.6865 (avg:15157.2788) lr 0.000500
Epoch: [09/14][361/795] Time 1.740 Data 1.656 Loss 398771.6779 (avg:15123.4570) lr 0.000500
Epoch: [09/14][371/795] Time 1.800 Data 1.714 Loss 425145.0848 (avg:15164.2133) lr 0.000500
Epoch: [09/14][381/795] Time 1.595 Data 1.534 Loss 285472.8085 (avg:15171.6097) lr 0.000500
Epoch: [09/14][391/795] Time 1.589 Data 1.529 Loss 314894.3672 (avg:15151.6314) lr 0.000500
Epoch: [09/14][401/795] Time 1.747 Data 1.663 Loss 347233.1736 (avg:15147.0441) lr 0.000500
Epoch: [09/14][411/795] Time 1.856 Data 1.794 Loss 408337.2648 (avg:15138.8508) lr 0.000500
Epoch: [09/14][421/795] Time 1.607 Data 1.501 Loss 283004.5320 (avg:15113.2854) lr 0.000500
Epoch: [09/14][431/795] Time 1.641 Data 1.575 Loss 270464.3055 (avg:15124.9992) lr 0.000500
Epoch: [09/14][441/795] Time 1.505 Data 1.423 Loss 270190.1862 (avg:15111.5554) lr 0.000500
Epoch: [09/14][451/795] Time 1.762 Data 1.638 Loss 303827.5601 (avg:15131.1344) lr 0.000500
Epoch: [09/14][461/795] Time 1.713 Data 1.640 Loss 449844.6954 (avg:15166.7833) lr 0.000500
Epoch: [09/14][471/795] Time 1.631 Data 1.582 Loss 376969.3890 (avg:15134.5733) lr 0.000500
Epoch: [09/14][481/795] Time 1.521 Data 1.447 Loss 281141.8859 (avg:15119.9166) lr 0.000500
Epoch: [09/14][491/795] Time 1.467 Data 1.392 Loss 235059.6974 (avg:15117.2031) lr 0.000500
Epoch: [09/14][501/795] Time 1.613 Data 1.562 Loss 340397.8143 (avg:15131.2484) lr 0.000500
Epoch: [09/14][511/795] Time 1.758 Data 1.683 Loss 411940.3108 (avg:15160.9043) lr 0.000500
Epoch: [09/14][521/795] Time 1.516 Data 1.464 Loss 298815.8486 (avg:15144.5093) lr 0.000500
Epoch: [09/14][531/795] Time 1.644 Data 1.529 Loss 315087.4657 (avg:15129.7693) lr 0.000500
Epoch: [09/14][541/795] Time 1.771 Data 1.723 Loss 428495.2994 (avg:15138.0018) lr 0.000500
Epoch: [09/14][551/795] Time 1.790 Data 1.686 Loss 385193.2775 (avg:15102.8895) lr 0.000500
Epoch: [09/14][561/795] Time 1.825 Data 1.702 Loss 393617.9482 (avg:15099.9006) lr 0.000500
Epoch: [09/14][571/795] Time 1.501 Data 1.452 Loss 293549.8225 (avg:15078.5417) lr 0.000500
Epoch: [09/14][581/795] Time 1.646 Data 1.586 Loss 315796.4118 (avg:15075.1615) lr 0.000500
Epoch: [09/14][591/795] Time 1.713 Data 1.623 Loss 392625.1119 (avg:15117.9200) lr 0.000500
Epoch: [09/14][601/795] Time 1.707 Data 1.624 Loss 340394.8157 (avg:15130.1417) lr 0.000500
Epoch: [09/14][611/795] Time 1.609 Data 1.482 Loss 303776.3699 (avg:15119.6207) lr 0.000500
Epoch: [09/14][621/795] Time 1.776 Data 1.691 Loss 324415.0595 (avg:15117.6786) lr 0.000500
Epoch: [09/14][631/795] Time 1.843 Data 1.738 Loss 447680.4877 (avg:15126.1200) lr 0.000500
Epoch: [09/14][641/795] Time 1.615 Data 1.520 Loss 326846.9144 (avg:15105.5473) lr 0.000500
Epoch: [09/14][651/795] Time 1.554 Data 1.503 Loss 280414.3542 (avg:15098.5599) lr 0.000500
Epoch: [09/14][661/795] Time 1.578 Data 1.503 Loss 320216.2019 (avg:15091.6931) lr 0.000500
Epoch: [09/14][671/795] Time 1.729 Data 1.677 Loss 361127.0710 (avg:15102.2522) lr 0.000500
Epoch: [09/14][681/795] Time 1.717 Data 1.622 Loss 329805.3001 (avg:15108.7654) lr 0.000500
Epoch: [09/14][691/795] Time 1.916 Data 1.832 Loss 440019.7550 (avg:15133.1481) lr 0.000500
Epoch: [09/14][701/795] Time 1.701 Data 1.641 Loss 313938.2961 (avg:15127.6565) lr 0.000500
Epoch: [09/14][711/795] Time 1.915 Data 1.849 Loss 497452.5567 (avg:15155.5937) lr 0.000500
Epoch: [09/14][721/795] Time 2.075 Data 1.972 Loss 445700.3902 (avg:15163.8040) lr 0.000500
Epoch: [09/14][731/795] Time 1.693 Data 1.583 Loss 282211.1595 (avg:15161.0007) lr 0.000500
Epoch: [09/14][741/795] Time 1.569 Data 1.487 Loss 247741.7204 (avg:15146.8244) lr 0.000500
Epoch: [09/14][751/795] Time 1.923 Data 1.862 Loss 467671.6594 (avg:15134.9977) lr 0.000500
Epoch: [09/14][761/795] Time 1.706 Data 1.644 Loss 335336.0118 (avg:15139.7829) lr 0.000500
Epoch: [09/14][771/795] Time 1.874 Data 1.751 Loss 408541.0592 (avg:15138.3107) lr 0.000500
Epoch: [09/14][781/795] Time 1.788 Data 1.688 Loss 324701.3223 (avg:15137.9053) lr 0.000500
Epoch: [09/14][791/795] Time 1.835 Data 1.712 Loss 381253.3131 (avg:15155.7164) lr 0.000500
Epoch: [10/14][001/795] Time 1.895 Data 1.835 Loss 350387.5955 (avg:14599.4831) lr 0.000500
Epoch: [10/14][011/795] Time 1.697 Data 1.641 Loss 325722.8583 (avg:15080.8240) lr 0.000500
Epoch: [10/14][021/795] Time 1.731 Data 1.627 Loss 376943.4004 (avg:15504.5219) lr 0.000500
Epoch: [10/14][031/795] Time 1.807 Data 1.725 Loss 373304.2589 (avg:15409.0416) lr 0.000500
Epoch: [10/14][041/795] Time 1.803 Data 1.678 Loss 302402.1365 (avg:15541.6669) lr 0.000500
Epoch: [10/14][051/795] Time 1.817 Data 1.756 Loss 321978.2987 (avg:15295.8794) lr 0.000500
Epoch: [10/14][061/795] Time 1.637 Data 1.512 Loss 315044.6205 (avg:15377.6328) lr 0.000500
Epoch: [10/14][071/795] Time 1.754 Data 1.672 Loss 393097.1058 (avg:15392.7291) lr 0.000500
Epoch: [10/14][081/795] Time 1.748 Data 1.645 Loss 325233.9185 (avg:15506.4367) lr 0.000500
Epoch: [10/14][091/795] Time 1.571 Data 1.512 Loss 262824.5897 (avg:15349.4410) lr 0.000500
Epoch: [10/14][101/795] Time 1.823 Data 1.759 Loss 458321.3396 (avg:15303.4837) lr 0.000500
Epoch: [10/14][111/795] Time 1.787 Data 1.701 Loss 362854.8514 (avg:15364.5122) lr 0.000500
Epoch: [10/14][121/795] Time 1.772 Data 1.665 Loss 381647.2785 (avg:15412.3405) lr 0.000500
Epoch: [10/14][131/795] Time 1.854 Data 1.792 Loss 371596.6347 (avg:15360.6100) lr 0.000500
Epoch: [10/14][141/795] Time 1.569 Data 1.447 Loss 316965.5522 (avg:15357.3922) lr 0.000500
Epoch: [10/14][151/795] Time 1.735 Data 1.669 Loss 333669.9267 (avg:15276.9767) lr 0.000500
Epoch: [10/14][161/795] Time 1.773 Data 1.709 Loss 324840.9227 (avg:15216.8256) lr 0.000500
Epoch: [10/14][171/795] Time 1.710 Data 1.646 Loss 322356.5391 (avg:15143.4436) lr 0.000500
Epoch: [10/14][181/795] Time 1.560 Data 1.455 Loss 259892.0230 (avg:15118.3541) lr 0.000500
Epoch: [10/14][191/795] Time 1.797 Data 1.671 Loss 397173.5375 (avg:15109.1915) lr 0.000500
Epoch: [10/14][201/795] Time 1.623 Data 1.539 Loss 284362.9713 (avg:15026.3377) lr 0.000500
Epoch: [10/14][211/795] Time 1.694 Data 1.629 Loss 333999.7853 (avg:15007.8667) lr 0.000500
Epoch: [10/14][221/795] Time 1.671 Data 1.604 Loss 308336.7563 (avg:15084.8525) lr 0.000500
Epoch: [10/14][231/795] Time 1.553 Data 1.470 Loss 301443.7165 (avg:15010.6211) lr 0.000500
Epoch: [10/14][241/795] Time 1.780 Data 1.719 Loss 380465.2935 (avg:15027.4392) lr 0.000500
Epoch: [10/14][251/795] Time 1.650 Data 1.548 Loss 289215.0595 (avg:14950.5685) lr 0.000500
Epoch: [10/14][261/795] Time 2.008 Data 1.906 Loss 476512.7330 (avg:15005.7457) lr 0.000500
Epoch: [10/14][271/795] Time 1.821 Data 1.727 Loss 448942.0059 (avg:15045.0779) lr 0.000500
Epoch: [10/14][281/795] Time 1.650 Data 1.544 Loss 344424.6387 (avg:15055.6499) lr 0.000500
Epoch: [10/14][291/795] Time 1.721 Data 1.664 Loss 362685.6170 (avg:15114.9341) lr 0.000500
Epoch: [10/14][301/795] Time 1.872 Data 1.812 Loss 481586.2166 (avg:15151.0370) lr 0.000500
Epoch: [10/14][311/795] Time 1.790 Data 1.732 Loss 386146.2858 (avg:15173.2841) lr 0.000500
Epoch: [10/14][321/795] Time 1.751 Data 1.687 Loss 383223.4487 (avg:15227.2718) lr 0.000500
Epoch: [10/14][331/795] Time 1.694 Data 1.579 Loss 400779.5011 (avg:15292.2197) lr 0.000500
Epoch: [10/14][341/795] Time 1.703 Data 1.621 Loss 363109.8307 (avg:15280.6605) lr 0.000500
Epoch: [10/14][351/795] Time 1.698 Data 1.632 Loss 331169.2217 (avg:15272.7618) lr 0.000500
Epoch: [10/14][361/795] Time 1.460 Data 1.408 Loss 293760.2296 (avg:15257.2150) lr 0.000500
Epoch: [10/14][371/795] Time 1.611 Data 1.517 Loss 355200.1474 (avg:15253.4955) lr 0.000500
Epoch: [10/14][381/795] Time 1.706 Data 1.619 Loss 290732.4236 (avg:15218.3070) lr 0.000500
Epoch: [10/14][391/795] Time 1.640 Data 1.552 Loss 299675.7702 (avg:15190.7381) lr 0.000500
Epoch: [10/14][401/795] Time 1.569 Data 1.496 Loss 308896.8931 (avg:15192.8840) lr 0.000500
Epoch: [10/14][411/795] Time 1.944 Data 1.870 Loss 500868.4000 (avg:15195.4593) lr 0.000500
Epoch: [10/14][421/795] Time 1.543 Data 1.494 Loss 273327.2384 (avg:15203.9011) lr 0.000500
Epoch: [10/14][431/795] Time 1.628 Data 1.579 Loss 369289.6601 (avg:15223.3235) lr 0.000500
Epoch: [10/14][441/795] Time 1.630 Data 1.581 Loss 374393.6773 (avg:15202.0523) lr 0.000500
Epoch: [10/14][451/795] Time 1.922 Data 1.797 Loss 407505.3008 (avg:15212.0157) lr 0.000500
Epoch: [10/14][461/795] Time 1.853 Data 1.725 Loss 371645.9307 (avg:15204.9066) lr 0.000500
Epoch: [10/14][471/795] Time 1.891 Data 1.768 Loss 367333.1703 (avg:15181.9586) lr 0.000500
Epoch: [10/14][481/795] Time 1.672 Data 1.602 Loss 285871.6568 (avg:15177.9293) lr 0.000500
Epoch: [10/14][491/795] Time 1.721 Data 1.641 Loss 410504.5385 (avg:15171.2390) lr 0.000500
Epoch: [10/14][501/795] Time 1.670 Data 1.582 Loss 311792.4642 (avg:15175.4990) lr 0.000500
Epoch: [10/14][511/795] Time 1.750 Data 1.668 Loss 290547.6503 (avg:15171.0300) lr 0.000500
Epoch: [10/14][521/795] Time 1.566 Data 1.479 Loss 244068.7106 (avg:15158.5472) lr 0.000500
Epoch: [10/14][531/795] Time 1.867 Data 1.763 Loss 381151.0126 (avg:15165.0184) lr 0.000500
Epoch: [10/14][541/795] Time 1.841 Data 1.722 Loss 445151.1869 (avg:15159.7607) lr 0.000500
Epoch: [10/14][551/795] Time 1.743 Data 1.616 Loss 329229.0771 (avg:15158.6732) lr 0.000500
Epoch: [10/14][561/795] Time 1.701 Data 1.636 Loss 287738.7729 (avg:15148.7985) lr 0.000500
Epoch: [10/14][571/795] Time 1.823 Data 1.720 Loss 402423.2842 (avg:15147.2680) lr 0.000500
Epoch: [10/14][581/795] Time 1.801 Data 1.675 Loss 421373.4613 (avg:15125.0825) lr 0.000500
Epoch: [10/14][591/795] Time 1.890 Data 1.763 Loss 458501.1231 (avg:15134.5875) lr 0.000500
Epoch: [10/14][601/795] Time 1.735 Data 1.650 Loss 357069.3286 (avg:15145.7668) lr 0.000500
Epoch: [10/14][611/795] Time 1.870 Data 1.805 Loss 432627.0970 (avg:15118.0089) lr 0.000500
Epoch: [10/14][621/795] Time 1.588 Data 1.473 Loss 297477.3508 (avg:15125.2786) lr 0.000500
Epoch: [10/14][631/795] Time 1.821 Data 1.734 Loss 411341.9428 (avg:15125.4636) lr 0.000500
Epoch: [10/14][641/795] Time 1.611 Data 1.521 Loss 314088.9318 (avg:15120.9505) lr 0.000500
Epoch: [10/14][651/795] Time 1.778 Data 1.718 Loss 302239.1379 (avg:15102.4629) lr 0.000500
Epoch: [10/14][661/795] Time 1.889 Data 1.805 Loss 426860.9125 (avg:15105.0359) lr 0.000500
Epoch: [10/14][671/795] Time 1.819 Data 1.700 Loss 358221.6407 (avg:15096.4044) lr 0.000500
Epoch: [10/14][681/795] Time 1.898 Data 1.817 Loss 402816.5544 (avg:15099.2358) lr 0.000500
Epoch: [10/14][691/795] Time 1.608 Data 1.547 Loss 345878.1946 (avg:15088.0382) lr 0.000500
Epoch: [10/14][701/795] Time 1.716 Data 1.617 Loss 373384.0140 (avg:15096.8727) lr 0.000500
Epoch: [10/14][711/795] Time 1.682 Data 1.619 Loss 287669.4635 (avg:15088.5015) lr 0.000500
Epoch: [10/14][721/795] Time 1.740 Data 1.657 Loss 325614.6152 (avg:15086.4889) lr 0.000500
Epoch: [10/14][731/795] Time 1.936 Data 1.811 Loss 426767.4646 (avg:15086.7904) lr 0.000500
Epoch: [10/14][741/795] Time 1.851 Data 1.791 Loss 338630.2332 (avg:15085.0316) lr 0.000500
Epoch: [10/14][751/795] Time 1.752 Data 1.664 Loss 343328.3568 (avg:15082.5781) lr 0.000500
Epoch: [10/14][761/795] Time 1.693 Data 1.631 Loss 309003.4624 (avg:15079.9000) lr 0.000500
Epoch: [10/14][771/795] Time 1.885 Data 1.762 Loss 334131.2455 (avg:15082.8178) lr 0.000500
Epoch: [10/14][781/795] Time 1.669 Data 1.621 Loss 391564.1880 (avg:15097.7388) lr 0.000500
Epoch: [10/14][791/795] Time 1.635 Data 1.560 Loss 378582.7101 (avg:15100.7375) lr 0.000500
Epoch: [11/14][001/795] Time 2.069 Data 1.953 Loss 399677.7629 (avg:16653.2401) lr 0.000500
Epoch: [11/14][011/795] Time 1.608 Data 1.559 Loss 383970.9146 (avg:14587.2131) lr 0.000500
Epoch: [11/14][021/795] Time 2.031 Data 1.946 Loss 533156.5979 (avg:14782.7178) lr 0.000500
Epoch: [11/14][031/795] Time 1.660 Data 1.580 Loss 285376.2618 (avg:15007.2298) lr 0.000500
Epoch: [11/14][041/795] Time 1.766 Data 1.691 Loss 319976.9296 (avg:15009.6015) lr 0.000500
Epoch: [11/14][051/795] Time 1.763 Data 1.712 Loss 402009.1430 (avg:15179.6269) lr 0.000500
Epoch: [11/14][061/795] Time 1.767 Data 1.651 Loss 400981.6989 (avg:15178.1789) lr 0.000500
Epoch: [11/14][071/795] Time 1.626 Data 1.511 Loss 385791.8481 (avg:15237.8277) lr 0.000500
Epoch: [11/14][081/795] Time 1.603 Data 1.528 Loss 352078.3714 (avg:15248.9466) lr 0.000500
Epoch: [11/14][091/795] Time 1.680 Data 1.629 Loss 380363.6156 (avg:15366.2230) lr 0.000500
Epoch: [11/14][101/795] Time 1.649 Data 1.533 Loss 396551.2654 (avg:15350.1977) lr 0.000500
Epoch: [11/14][111/795] Time 1.470 Data 1.396 Loss 252290.5043 (avg:15348.0204) lr 0.000500
Epoch: [11/14][121/795] Time 1.536 Data 1.443 Loss 303824.5475 (avg:15299.2999) lr 0.000500
Epoch: [11/14][131/795] Time 1.681 Data 1.607 Loss 346961.3463 (avg:15340.9120) lr 0.000500
Epoch: [11/14][141/795] Time 1.635 Data 1.562 Loss 326881.4705 (avg:15395.3453) lr 0.000500
Epoch: [11/14][151/795] Time 1.576 Data 1.482 Loss 302649.2371 (avg:15324.9622) lr 0.000500
Epoch: [11/14][161/795] Time 1.765 Data 1.714 Loss 503631.0220 (avg:15356.8475) lr 0.000500
Epoch: [11/14][171/795] Time 1.653 Data 1.579 Loss 434182.9660 (avg:15377.2087) lr 0.000500
Epoch: [11/14][181/795] Time 1.668 Data 1.617 Loss 348470.5691 (avg:15420.9622) lr 0.000500
Epoch: [11/14][191/795] Time 1.989 Data 1.904 Loss 502860.7113 (avg:15442.2962) lr 0.000500
Epoch: [11/14][201/795] Time 1.918 Data 1.795 Loss 457244.3808 (avg:15432.6640) lr 0.000500
Epoch: [11/14][211/795] Time 1.855 Data 1.749 Loss 377806.8500 (avg:15438.4583) lr 0.000500
Epoch: [11/14][221/795] Time 1.693 Data 1.591 Loss 393244.4999 (avg:15322.0276) lr 0.000500
Epoch: [11/14][231/795] Time 1.767 Data 1.643 Loss 322245.9162 (avg:15267.9365) lr 0.000500
Epoch: [11/14][241/795] Time 1.760 Data 1.632 Loss 278981.9802 (avg:15192.8586) lr 0.000500
Epoch: [11/14][251/795] Time 1.870 Data 1.805 Loss 401119.5035 (avg:15203.0815) lr 0.000500
Epoch: [11/14][261/795] Time 1.670 Data 1.582 Loss 296772.4454 (avg:15164.9516) lr 0.000500
Epoch: [11/14][271/795] Time 1.749 Data 1.666 Loss 296151.9581 (avg:15129.5843) lr 0.000500
Epoch: [11/14][281/795] Time 1.597 Data 1.517 Loss 263382.4409 (avg:15055.3422) lr 0.000500
Epoch: [11/14][291/795] Time 1.882 Data 1.821 Loss 371614.1714 (avg:15101.6099) lr 0.000500
Epoch: [11/14][301/795] Time 1.664 Data 1.582 Loss 389073.4239 (avg:15061.9570) lr 0.000500
Epoch: [11/14][311/795] Time 1.730 Data 1.669 Loss 371829.2030 (avg:15046.8668) lr 0.000500
Epoch: [11/14][321/795] Time 1.587 Data 1.539 Loss 307612.4993 (avg:15051.4215) lr 0.000500
Epoch: [11/14][331/795] Time 1.650 Data 1.598 Loss 370168.8388 (avg:15002.2457) lr 0.000500
Epoch: [11/14][341/795] Time 1.606 Data 1.558 Loss 344195.8170 (avg:14977.0344) lr 0.000500
Epoch: [11/14][351/795] Time 1.564 Data 1.489 Loss 319729.4539 (avg:14969.9109) lr 0.000500
Epoch: [11/14][361/795] Time 1.589 Data 1.474 Loss 326999.1358 (avg:14978.6107) lr 0.000500
Epoch: [11/14][371/795] Time 1.636 Data 1.561 Loss 348159.6005 (avg:15005.5509) lr 0.000500
Epoch: [11/14][381/795] Time 1.604 Data 1.556 Loss 339312.3727 (avg:15003.6286) lr 0.000500
Epoch: [11/14][391/795] Time 1.599 Data 1.551 Loss 308156.7940 (avg:14938.5762) lr 0.000500
Epoch: [11/14][401/795] Time 1.644 Data 1.529 Loss 355101.7802 (avg:14924.4157) lr 0.000500
Epoch: [11/14][411/795] Time 1.676 Data 1.562 Loss 435818.7772 (avg:14953.6344) lr 0.000500
Epoch: [11/14][421/795] Time 1.618 Data 1.532 Loss 218264.8930 (avg:14960.0779) lr 0.000500
Epoch: [11/14][431/795] Time 1.765 Data 1.682 Loss 374606.3911 (avg:14964.9000) lr 0.000500
Epoch: [11/14][441/795] Time 1.644 Data 1.593 Loss 360233.6380 (avg:14967.8182) lr 0.000500
Epoch: [11/14][451/795] Time 1.799 Data 1.717 Loss 406362.7749 (avg:14977.1904) lr 0.000500
Epoch: [11/14][461/795] Time 1.703 Data 1.620 Loss 305651.7956 (avg:14995.4051) lr 0.000500
Epoch: [11/14][471/795] Time 1.750 Data 1.665 Loss 322384.3616 (avg:15012.2902) lr 0.000500
Epoch: [11/14][481/795] Time 1.784 Data 1.735 Loss 433772.3896 (avg:15015.4812) lr 0.000500
Epoch: [11/14][491/795] Time 1.711 Data 1.611 Loss 371860.6391 (avg:15010.6637) lr 0.000500
Epoch: [11/14][501/795] Time 1.778 Data 1.677 Loss 379666.9987 (avg:15011.6904) lr 0.000500
Epoch: [11/14][511/795] Time 1.698 Data 1.623 Loss 347830.9110 (avg:15028.7049) lr 0.000500
Epoch: [11/14][521/795] Time 1.938 Data 1.813 Loss 383311.8348 (avg:15039.3746) lr 0.000500
Epoch: [11/14][531/795] Time 1.954 Data 1.847 Loss 392781.4342 (avg:15020.9700) lr 0.000500
Epoch: [11/14][541/795] Time 1.729 Data 1.665 Loss 321866.4609 (avg:15010.1441) lr 0.000500
Epoch: [11/14][551/795] Time 1.817 Data 1.691 Loss 384443.3318 (avg:15012.7329) lr 0.000500
Epoch: [11/14][561/795] Time 1.876 Data 1.753 Loss 419620.8685 (avg:15021.8645) lr 0.000500
Epoch: [11/14][571/795] Time 1.655 Data 1.556 Loss 291431.3041 (avg:15009.0886) lr 0.000500
Epoch: [11/14][581/795] Time 1.931 Data 1.874 Loss 377976.4947 (avg:15016.9521) lr 0.000500
Epoch: [11/14][591/795] Time 1.727 Data 1.642 Loss 308166.7974 (avg:14994.9902) lr 0.000500
Epoch: [11/14][601/795] Time 1.753 Data 1.695 Loss 344719.7923 (avg:14997.2302) lr 0.000500
Epoch: [11/14][611/795] Time 1.815 Data 1.751 Loss 417722.3910 (avg:14990.7778) lr 0.000500
Epoch: [11/14][621/795] Time 1.837 Data 1.715 Loss 416111.1691 (avg:14994.3165) lr 0.000500
Epoch: [11/14][631/795] Time 1.759 Data 1.680 Loss 356715.6897 (avg:15013.4567) lr 0.000500
Epoch: [11/14][641/795] Time 1.608 Data 1.533 Loss 314468.6446 (avg:15019.6571) lr 0.000500
Epoch: [11/14][651/795] Time 1.885 Data 1.801 Loss 466963.3755 (avg:15016.9757) lr 0.000500
Epoch: [11/14][661/795] Time 1.800 Data 1.719 Loss 381416.6715 (avg:15041.5341) lr 0.000500
Epoch: [11/14][671/795] Time 1.734 Data 1.631 Loss 399870.3913 (avg:15049.1121) lr 0.000500
Epoch: [11/14][681/795] Time 1.923 Data 1.835 Loss 476488.1395 (avg:15041.9568) lr 0.000500
Epoch: [11/14][691/795] Time 1.988 Data 1.883 Loss 545661.5449 (avg:15055.9715) lr 0.000500
Epoch: [11/14][701/795] Time 1.747 Data 1.686 Loss 342850.7295 (avg:15083.5565) lr 0.000500
Epoch: [11/14][711/795] Time 1.708 Data 1.645 Loss 360835.5412 (avg:15064.4539) lr 0.000500
Epoch: [11/14][721/795] Time 1.800 Data 1.716 Loss 454298.2133 (avg:15073.3234) lr 0.000500
Epoch: [11/14][731/795] Time 1.833 Data 1.774 Loss 339784.8932 (avg:15057.5576) lr 0.000500
Epoch: [11/14][741/795] Time 1.839 Data 1.773 Loss 367832.2499 (avg:15051.9981) lr 0.000500
Epoch: [11/14][751/795] Time 1.826 Data 1.736 Loss 343039.3501 (avg:15072.1187) lr 0.000500
Epoch: [11/14][761/795] Time 1.805 Data 1.745 Loss 393134.9755 (avg:15055.2353) lr 0.000500
Epoch: [11/14][771/795] Time 1.630 Data 1.552 Loss 319030.0757 (avg:15052.5653) lr 0.000500
Epoch: [11/14][781/795] Time 1.897 Data 1.811 Loss 362342.4937 (avg:15058.3396) lr 0.000500
Epoch: [11/14][791/795] Time 1.814 Data 1.687 Loss 376102.5612 (avg:15047.6052) lr 0.000500
Epoch: [12/14][001/795] Time 1.912 Data 1.807 Loss 293494.2722 (avg:12228.9280) lr 0.000050
Epoch: [12/14][011/795] Time 1.802 Data 1.697 Loss 408532.4512 (avg:15571.6770) lr 0.000050
Epoch: [12/14][021/795] Time 1.761 Data 1.704 Loss 381178.1898 (avg:15926.8080) lr 0.000050
Epoch: [12/14][031/795] Time 1.770 Data 1.695 Loss 367934.2620 (avg:16171.6862) lr 0.000050
Epoch: [12/14][041/795] Time 1.850 Data 1.728 Loss 363268.7048 (avg:15695.1289) lr 0.000050
Epoch: [12/14][051/795] Time 1.495 Data 1.446 Loss 243017.7176 (avg:15281.6276) lr 0.000050
Epoch: [12/14][061/795] Time 2.036 Data 1.987 Loss 508208.8843 (avg:15330.3761) lr 0.000050
Epoch: [12/14][071/795] Time 1.613 Data 1.519 Loss 400821.5041 (avg:15264.0873) lr 0.000050
Epoch: [12/14][081/795] Time 1.745 Data 1.640 Loss 327673.4483 (avg:15138.5248) lr 0.000050
Epoch: [12/14][091/795] Time 1.702 Data 1.644 Loss 321070.5845 (avg:14979.7504) lr 0.000050
Epoch: [12/14][101/795] Time 1.783 Data 1.719 Loss 376642.6302 (avg:14967.3621) lr 0.000050
Epoch: [12/14][111/795] Time 1.860 Data 1.754 Loss 358609.2874 (avg:14975.2433) lr 0.000050
Epoch: [12/14][121/795] Time 1.897 Data 1.806 Loss 410372.1501 (avg:15083.7249) lr 0.000050
Epoch: [12/14][131/795] Time 1.727 Data 1.662 Loss 331910.0811 (avg:15016.6049) lr 0.000050
Epoch: [12/14][141/795] Time 1.569 Data 1.488 Loss 267786.7746 (avg:14968.9682) lr 0.000050
Epoch: [12/14][151/795] Time 1.773 Data 1.671 Loss 434648.9285 (avg:15006.4538) lr 0.000050
Epoch: [12/14][161/795] Time 1.676 Data 1.551 Loss 299405.9293 (avg:14999.2960) lr 0.000050
Epoch: [12/14][171/795] Time 1.733 Data 1.647 Loss 330451.2747 (avg:15057.7252) lr 0.000050
Epoch: [12/14][181/795] Time 1.802 Data 1.733 Loss 379314.2647 (avg:15016.1287) lr 0.000050
Epoch: [12/14][191/795] Time 1.781 Data 1.707 Loss 416138.0798 (avg:14964.5019) lr 0.000050
Epoch: [12/14][201/795] Time 1.822 Data 1.701 Loss 439096.9160 (avg:14981.0489) lr 0.000050
Epoch: [12/14][211/795] Time 1.848 Data 1.719 Loss 460191.9127 (avg:15021.8886) lr 0.000050
Epoch: [12/14][221/795] Time 1.618 Data 1.555 Loss 248316.1696 (avg:15036.8370) lr 0.000050