[1] loss: 3.777, train acc: 11.398 test acc: 20.680 17.758 s [2] loss: 2.954, train acc: 25.604 test acc: 31.010 16.542 s [3] loss: 2.477, train acc: 35.176 test acc: 37.840 16.391 s [4] loss: 2.181, train acc: 41.648 test acc: 43.290 16.444 s [5] loss: 1.972, train acc: 46.462 test acc: 45.600 16.365 s [6] loss: 1.834, train acc: 49.504 test acc: 49.050 16.455 s [7] loss: 1.719, train acc: 52.454 test acc: 50.410 16.416 s [8] loss: 1.620, train acc: 54.918 test acc: 51.630 16.412 s [9] loss: 1.543, train acc: 56.478 test acc: 52.830 16.442 s [10] loss: 1.480, train acc: 58.206 test acc: 53.820 16.614 s [11] loss: 1.421, train acc: 59.730 test acc: 54.910 16.855 s [12] loss: 1.370, train acc: 60.996 test acc: 55.600 16.466 s [13] loss: 1.322, train acc: 61.992 test acc: 55.620 16.443 s [14] loss: 1.285, train acc: 62.960 test acc: 54.910 16.504 s [15] loss: 1.240, train acc: 64.008 test acc: 56.920 16.419 s [16] loss: 1.206, train acc: 65.016 test acc: 57.380 16.457 s [17] loss: 1.175, train acc: 65.972 test acc: 57.640 16.535 s [18] loss: 1.146, train acc: 66.542 test acc: 58.430 16.475 s [19] loss: 1.109, train acc: 67.550 test acc: 58.940 16.288 s [20] loss: 1.092, train acc: 67.916 test acc: 59.660 16.489 s [21] loss: 1.064, train acc: 68.416 test acc: 58.630 16.363 s [22] loss: 1.033, train acc: 69.498 test acc: 59.210 16.696 s [23] loss: 1.012, train acc: 69.918 test acc: 58.860 16.422 s [24] loss: 0.989, train acc: 70.560 test acc: 58.710 16.415 s [25] loss: 0.969, train acc: 71.234 test acc: 59.640 16.425 s [26] loss: 0.945, train acc: 71.794 test acc: 60.030 16.443 s [27] loss: 0.929, train acc: 72.110 test acc: 60.380 16.436 s [28] loss: 0.906, train acc: 72.650 test acc: 60.630 16.325 s [29] loss: 0.894, train acc: 73.002 test acc: 60.570 16.563 s [30] loss: 0.879, train acc: 73.500 test acc: 60.410 16.472 s [31] loss: 0.863, train acc: 74.024 test acc: 60.470 16.315 s [32] loss: 0.847, train acc: 74.450 test acc: 60.680 16.553 s [33] loss: 0.821, train acc: 75.146 test acc: 60.930 16.657 s [34] loss: 0.814, train acc: 75.276 test acc: 61.230 16.377 s [35] loss: 0.803, train acc: 75.550 test acc: 61.610 16.425 s [36] loss: 0.785, train acc: 76.024 test acc: 60.790 16.352 s [37] loss: 0.772, train acc: 76.356 test acc: 60.670 16.433 s [38] loss: 0.755, train acc: 76.716 test acc: 61.970 16.531 s [39] loss: 0.742, train acc: 77.184 test acc: 62.290 16.424 s [40] loss: 0.735, train acc: 77.612 test acc: 62.010 16.579 s [41] loss: 0.719, train acc: 77.836 test acc: 61.600 16.456 s [42] loss: 0.709, train acc: 78.098 test acc: 61.720 16.391 s [43] loss: 0.707, train acc: 78.270 test acc: 62.360 16.612 s [44] loss: 0.687, train acc: 79.048 test acc: 61.460 16.703 s [45] loss: 0.677, train acc: 79.060 test acc: 61.650 16.368 s [46] loss: 0.668, train acc: 79.402 test acc: 62.530 16.443 s [47] loss: 0.658, train acc: 79.558 test acc: 62.150 16.328 s [48] loss: 0.646, train acc: 80.076 test acc: 62.190 16.384 s [49] loss: 0.641, train acc: 80.078 test acc: 62.260 16.412 s [50] loss: 0.625, train acc: 80.346 test acc: 62.120 16.483 s [51] loss: 0.623, train acc: 80.724 test acc: 61.960 16.462 s [52] loss: 0.608, train acc: 81.152 test acc: 62.660 16.394 s [53] loss: 0.601, train acc: 81.154 test acc: 61.770 16.478 s [54] loss: 0.589, train acc: 81.712 test acc: 62.180 16.490 s [55] loss: 0.588, train acc: 81.744 test acc: 62.350 16.624 s [56] loss: 0.577, train acc: 81.934 test acc: 62.320 16.346 s [57] loss: 0.565, train acc: 82.324 test acc: 62.010 16.422 s [58] loss: 0.562, train acc: 82.456 test acc: 62.020 16.561 s [59] loss: 0.554, train acc: 82.410 test acc: 62.640 16.441 s [60] loss: 0.548, train acc: 82.592 test acc: 61.840 16.474 s [61] loss: 0.541, train acc: 82.962 test acc: 61.740 16.322 s [62] loss: 0.535, train acc: 83.114 test acc: 63.390 16.416 s [63] loss: 0.526, train acc: 83.476 test acc: 62.160 16.488 s [64] loss: 0.516, train acc: 83.748 test acc: 61.490 16.438 s [65] loss: 0.510, train acc: 83.786 test acc: 62.370 16.601 s [66] loss: 0.503, train acc: 84.132 test acc: 63.100 16.539 s [67] loss: 0.498, train acc: 84.122 test acc: 62.470 16.443 s [68] loss: 0.496, train acc: 84.158 test acc: 62.770 16.398 s [69] loss: 0.488, train acc: 84.490 test acc: 62.810 16.487 s [70] loss: 0.478, train acc: 84.816 test acc: 62.610 16.417 s [71] loss: 0.475, train acc: 84.812 test acc: 61.880 16.518 s [72] loss: 0.471, train acc: 84.952 test acc: 63.050 16.523 s [73] loss: 0.455, train acc: 85.474 test acc: 62.320 16.270 s [74] loss: 0.458, train acc: 85.284 test acc: 63.170 16.365 s [75] loss: 0.449, train acc: 85.738 test acc: 62.860 16.493 s [76] loss: 0.445, train acc: 85.752 test acc: 62.120 16.625 s [77] loss: 0.441, train acc: 85.958 test acc: 62.020 16.361 s [78] loss: 0.441, train acc: 85.928 test acc: 62.910 16.462 s [79] loss: 0.431, train acc: 86.132 test acc: 62.750 16.346 s [80] loss: 0.427, train acc: 86.318 test acc: 62.680 16.358 s [81] loss: 0.425, train acc: 86.352 test acc: 62.390 16.462 s [82] loss: 0.415, train acc: 86.506 test acc: 62.860 16.297 s [83] loss: 0.417, train acc: 86.596 test acc: 62.400 16.468 s [84] loss: 0.407, train acc: 86.868 test acc: 63.590 16.437 s [85] loss: 0.403, train acc: 87.098 test acc: 62.600 16.539 s [86] loss: 0.392, train acc: 87.488 test acc: 61.950 16.545 s [87] loss: 0.396, train acc: 87.230 test acc: 62.730 16.640 s [88] loss: 0.397, train acc: 87.140 test acc: 62.280 16.229 s [89] loss: 0.384, train acc: 87.562 test acc: 62.660 16.318 s [90] loss: 0.381, train acc: 87.710 test acc: 61.770 16.562 s [91] loss: 0.387, train acc: 87.378 test acc: 61.980 16.433 s [92] loss: 0.373, train acc: 87.856 test acc: 62.910 16.359 s [93] loss: 0.369, train acc: 88.110 test acc: 61.990 16.472 s [94] loss: 0.370, train acc: 87.820 test acc: 62.150 16.611 s [95] loss: 0.362, train acc: 88.212 test acc: 62.470 16.526 s [96] loss: 0.357, train acc: 88.456 test acc: 62.600 16.550 s [97] loss: 0.362, train acc: 88.242 test acc: 62.250 16.414 s [98] loss: 0.355, train acc: 88.432 test acc: 62.920 16.612 s [99] loss: 0.348, train acc: 88.536 test acc: 62.230 16.480 s [100] loss: 0.351, train acc: 88.484 test acc: 62.590 16.494 s [1] loss: 0.259, train acc: 91.922 test acc: 64.180 16.361 s [2] loss: 0.229, train acc: 93.026 test acc: 64.030 16.546 s [3] loss: 0.221, train acc: 93.394 test acc: 64.410 16.502 s [4] loss: 0.216, train acc: 93.578 test acc: 64.400 16.468 s [5] loss: 0.210, train acc: 93.768 test acc: 63.860 16.547 s [6] loss: 0.205, train acc: 93.960 test acc: 64.350 16.472 s [7] loss: 0.200, train acc: 94.090 test acc: 64.070 16.358 s [8] loss: 0.200, train acc: 94.178 test acc: 64.010 16.496 s [9] loss: 0.195, train acc: 94.240 test acc: 64.160 16.658 s [10] loss: 0.193, train acc: 94.234 test acc: 64.280 16.436 s [1] loss: 0.176, train acc: 94.984 test acc: 64.750 16.522 s [2] loss: 0.170, train acc: 95.252 test acc: 65.180 16.497 s [3] loss: 0.169, train acc: 95.238 test acc: 64.830 16.442 s [4] loss: 0.164, train acc: 95.498 test acc: 64.870 16.480 s [5] loss: 0.166, train acc: 95.382 test acc: 64.780 16.398 s [6] loss: 0.164, train acc: 95.488 test acc: 65.040 16.405 s [7] loss: 0.165, train acc: 95.480 test acc: 64.510 16.459 s [8] loss: 0.161, train acc: 95.548 test acc: 64.790 16.400 s [9] loss: 0.160, train acc: 95.534 test acc: 64.820 16.256 s [10] loss: 0.163, train acc: 95.518 test acc: 64.480 16.707 s [11] loss: 0.162, train acc: 95.486 test acc: 64.560 16.446 s [12] loss: 0.159, train acc: 95.604 test acc: 64.590 16.389 s [13] loss: 0.159, train acc: 95.644 test acc: 64.840 16.473 s [14] loss: 0.155, train acc: 95.794 test acc: 64.430 16.374 s [15] loss: 0.157, train acc: 95.676 test acc: 64.810 16.518 s [16] loss: 0.155, train acc: 95.676 test acc: 64.480 16.321 s [17] loss: 0.155, train acc: 95.744 test acc: 64.540 16.364 s [18] loss: 0.154, train acc: 95.814 test acc: 64.600 16.478 s [19] loss: 0.152, train acc: 95.864 test acc: 64.540 16.510 s [20] loss: 0.154, train acc: 95.730 test acc: 64.530 16.439 s [21] loss: 0.153, train acc: 95.884 test acc: 64.470 16.699 s [22] loss: 0.152, train acc: 95.864 test acc: 64.430 16.430 s [23] loss: 0.153, train acc: 95.784 test acc: 64.650 16.393 s [24] loss: 0.151, train acc: 95.870 test acc: 64.620 16.399 s [25] loss: 0.150, train acc: 95.958 test acc: 64.730 16.477 s [26] loss: 0.146, train acc: 96.120 test acc: 64.600 16.305 s [27] loss: 0.148, train acc: 96.006 test acc: 64.510 16.594 s [28] loss: 0.147, train acc: 96.102 test acc: 64.610 16.273 s [29] loss: 0.148, train acc: 96.006 test acc: 64.510 16.608 s [30] loss: 0.146, train acc: 96.058 test acc: 64.720 16.562 s [1] loss: 0.144, train acc: 96.182 test acc: 64.760 16.527 s [2] loss: 0.144, train acc: 96.122 test acc: 64.730 16.575 s [3] loss: 0.140, train acc: 96.404 test acc: 64.510 16.491 s [4] loss: 0.140, train acc: 96.298 test acc: 64.550 16.380 s [5] loss: 0.141, train acc: 96.260 test acc: 64.600 16.514 s [6] loss: 0.141, train acc: 96.320 test acc: 64.580 16.483 s [7] loss: 0.141, train acc: 96.236 test acc: 64.580 17.928 s [8] loss: 0.140, train acc: 96.372 test acc: 64.530 16.482 s [9] loss: 0.140, train acc: 96.334 test acc: 64.540 16.469 s [10] loss: 0.139, train acc: 96.356 test acc: 64.610 16.482 s [11] loss: 0.141, train acc: 96.358 test acc: 64.670 16.423 s [12] loss: 0.139, train acc: 96.288 test acc: 64.670 16.500 s [13] loss: 0.138, train acc: 96.398 test acc: 64.580 16.804 s [14] loss: 0.136, train acc: 96.452 test acc: 64.650 16.426 s [15] loss: 0.137, train acc: 96.508 test acc: 64.790 16.450 s [16] loss: 0.140, train acc: 96.278 test acc: 64.720 16.395 s [17] loss: 0.138, train acc: 96.342 test acc: 64.550 16.347 s [18] loss: 0.136, train acc: 96.442 test acc: 64.490 16.373 s [19] loss: 0.139, train acc: 96.356 test acc: 64.580 16.531 s [20] loss: 0.137, train acc: 96.404 test acc: 64.620 16.289 s [21] loss: 0.136, train acc: 96.430 test acc: 64.560 16.467 s [22] loss: 0.139, train acc: 96.328 test acc: 64.540 16.368 s [23] loss: 0.137, train acc: 96.402 test acc: 64.550 16.363 s [24] loss: 0.138, train acc: 96.446 test acc: 64.690 16.558 s [25] loss: 0.137, train acc: 96.448 test acc: 64.730 16.395 s [26] loss: 0.138, train acc: 96.426 test acc: 64.490 16.455 s [27] loss: 0.136, train acc: 96.452 test acc: 64.670 16.548 s [28] loss: 0.137, train acc: 96.390 test acc: 64.600 16.525 s [29] loss: 0.135, train acc: 96.430 test acc: 64.500 16.354 s [30] loss: 0.137, train acc: 96.470 test acc: 64.560 16.336 s [31] loss: 0.134, train acc: 96.508 test acc: 64.650 16.520 s [32] loss: 0.136, train acc: 96.518 test acc: 64.690 16.537 s [33] loss: 0.136, train acc: 96.448 test acc: 64.660 16.343 s [34] loss: 0.136, train acc: 96.494 test acc: 64.670 16.482 s [35] loss: 0.134, train acc: 96.556 test acc: 64.690 16.798 s [36] loss: 0.135, train acc: 96.528 test acc: 64.730 16.478 s [37] loss: 0.135, train acc: 96.522 test acc: 64.710 16.493 s [38] loss: 0.135, train acc: 96.500 test acc: 64.750 16.451 s [39] loss: 0.134, train acc: 96.426 test acc: 64.830 16.452 s [40] loss: 0.135, train acc: 96.644 test acc: 64.770 16.549 s [41] loss: 0.133, train acc: 96.594 test acc: 64.790 16.258 s [42] loss: 0.136, train acc: 96.368 test acc: 64.770 16.384 s [43] loss: 0.136, train acc: 96.442 test acc: 64.660 16.475 s [44] loss: 0.134, train acc: 96.408 test acc: 64.730 17.419 s [45] loss: 0.134, train acc: 96.496 test acc: 64.730 16.713 s [46] loss: 0.132, train acc: 96.518 test acc: 64.660 16.565 s [47] loss: 0.133, train acc: 96.570 test acc: 64.580 16.371 s [48] loss: 0.131, train acc: 96.630 test acc: 64.730 16.225 s [49] loss: 0.132, train acc: 96.560 test acc: 64.680 16.505 s [50] loss: 0.131, train acc: 96.584 test acc: 64.780 16.533 s [1] loss: 2.162, train acc: 43.954 test acc: 52.540 28.062 s [2] loss: 1.341, train acc: 61.100 test acc: 55.090 28.011 s [3] loss: 1.190, train acc: 64.710 test acc: 56.140 27.892 s [4] loss: 1.110, train acc: 67.132 test acc: 58.250 28.429 s [5] loss: 1.048, train acc: 68.606 test acc: 59.050 28.169 s [6] loss: 1.002, train acc: 69.638 test acc: 59.200 28.397 s [7] loss: 0.970, train acc: 70.350 test acc: 59.750 28.224 s [8] loss: 0.940, train acc: 71.202 test acc: 59.340 28.095 s [9] loss: 0.920, train acc: 71.740 test acc: 60.990 27.836 s [10] loss: 0.900, train acc: 72.484 test acc: 60.450 28.287 s [11] loss: 0.892, train acc: 72.450 test acc: 61.280 28.160 s [12] loss: 0.864, train acc: 73.408 test acc: 61.740 28.278 s [13] loss: 0.865, train acc: 73.144 test acc: 60.870 28.217 s [14] loss: 0.846, train acc: 73.820 test acc: 61.370 28.250 s [15] loss: 0.838, train acc: 73.864 test acc: 61.290 28.060 s [16] loss: 0.823, train acc: 74.468 test acc: 60.970 28.330 s [17] loss: 0.826, train acc: 74.200 test acc: 59.880 29.227 s [18] loss: 0.817, train acc: 74.542 test acc: 61.530 28.327 s [19] loss: 0.809, train acc: 74.656 test acc: 61.110 28.418 s [20] loss: 0.797, train acc: 75.294 test acc: 61.300 28.109 s [21] loss: 0.791, train acc: 75.202 test acc: 61.150 28.186 s [22] loss: 0.784, train acc: 75.550 test acc: 62.420 27.962 s [23] loss: 0.788, train acc: 75.328 test acc: 62.260 28.127 s [24] loss: 0.780, train acc: 75.592 test acc: 62.950 28.543 s [25] loss: 0.772, train acc: 75.756 test acc: 62.600 28.167 s [26] loss: 0.758, train acc: 76.314 test acc: 62.290 28.155 s [27] loss: 0.754, train acc: 76.394 test acc: 62.520 28.391 s [28] loss: 0.751, train acc: 76.484 test acc: 61.340 28.242 s [29] loss: 0.758, train acc: 76.298 test acc: 62.600 28.318 s [30] loss: 0.750, train acc: 76.442 test acc: 62.800 28.371 s [31] loss: 0.747, train acc: 76.440 test acc: 61.230 28.145 s [32] loss: 0.737, train acc: 76.990 test acc: 61.560 28.127 s [33] loss: 0.739, train acc: 76.792 test acc: 61.350 28.113 s [34] loss: 0.740, train acc: 76.892 test acc: 62.440 28.125 s [35] loss: 0.736, train acc: 76.868 test acc: 61.530 27.900 s [36] loss: 0.734, train acc: 77.064 test acc: 62.100 28.493 s [37] loss: 0.732, train acc: 76.940 test acc: 62.350 28.083 s [38] loss: 0.726, train acc: 77.040 test acc: 61.920 28.176 s [39] loss: 0.722, train acc: 77.158 test acc: 63.440 28.240 s [40] loss: 0.731, train acc: 76.982 test acc: 62.370 27.915 s [41] loss: 0.717, train acc: 77.332 test acc: 62.030 28.030 s [42] loss: 0.721, train acc: 77.040 test acc: 60.620 28.123 s [43] loss: 0.722, train acc: 77.142 test acc: 62.060 28.315 s [44] loss: 0.707, train acc: 77.776 test acc: 62.590 28.504 s [45] loss: 0.716, train acc: 77.472 test acc: 62.490 27.781 s [46] loss: 0.711, train acc: 77.516 test acc: 62.180 27.968 s [47] loss: 0.719, train acc: 77.360 test acc: 62.610 28.189 s [48] loss: 0.712, train acc: 77.484 test acc: 63.100 28.026 s [49] loss: 0.712, train acc: 77.472 test acc: 62.680 28.477 s [50] loss: 0.706, train acc: 77.558 test acc: 62.170 28.168 s [51] loss: 0.707, train acc: 77.698 test acc: 62.490 28.154 s [52] loss: 0.707, train acc: 77.544 test acc: 61.740 27.385 s [53] loss: 0.697, train acc: 77.846 test acc: 61.800 28.032 s [54] loss: 0.702, train acc: 77.936 test acc: 61.970 28.033 s [55] loss: 0.706, train acc: 77.666 test acc: 61.290 28.567 s [56] loss: 0.699, train acc: 77.866 test acc: 62.110 28.337 s [57] loss: 0.692, train acc: 78.030 test acc: 62.780 28.022 s [58] loss: 0.701, train acc: 77.600 test acc: 62.360 28.405 s [59] loss: 0.701, train acc: 77.790 test acc: 61.190 27.909 s [60] loss: 0.693, train acc: 78.082 test acc: 62.780 28.161 s [61] loss: 0.696, train acc: 77.914 test acc: 62.610 28.464 s [62] loss: 0.690, train acc: 78.202 test acc: 62.710 27.688 s [63] loss: 0.686, train acc: 78.198 test acc: 62.230 28.098 s [64] loss: 0.689, train acc: 78.044 test acc: 62.340 28.120 s [65] loss: 0.684, train acc: 78.280 test acc: 62.890 28.404 s [66] loss: 0.686, train acc: 78.274 test acc: 61.800 28.013 s [67] loss: 0.688, train acc: 78.540 test acc: 62.300 27.969 s [68] loss: 0.692, train acc: 78.136 test acc: 63.160 28.461 s [69] loss: 0.683, train acc: 78.510 test acc: 62.550 28.206 s [70] loss: 0.684, train acc: 78.252 test acc: 63.320 28.249 s [71] loss: 0.684, train acc: 78.428 test acc: 62.110 28.179 s [72] loss: 0.683, train acc: 78.356 test acc: 62.950 28.260 s [73] loss: 0.678, train acc: 78.310 test acc: 61.540 28.288 s [74] loss: 0.683, train acc: 78.358 test acc: 62.740 28.467 s [75] loss: 0.683, train acc: 78.346 test acc: 62.190 28.283 s [76] loss: 0.678, train acc: 78.324 test acc: 62.080 27.977 s [77] loss: 0.675, train acc: 78.594 test acc: 62.680 28.262 s [78] loss: 0.669, train acc: 78.744 test acc: 63.100 27.869 s [79] loss: 0.667, train acc: 78.884 test acc: 62.610 28.152 s [80] loss: 0.675, train acc: 78.516 test acc: 62.350 28.102 s [81] loss: 0.667, train acc: 78.812 test acc: 62.100 28.342 s [82] loss: 0.671, train acc: 78.596 test acc: 62.400 28.126 s [83] loss: 0.666, train acc: 78.886 test acc: 63.000 28.116 s [84] loss: 0.673, train acc: 78.482 test acc: 62.250 28.289 s [85] loss: 0.667, train acc: 78.760 test acc: 62.370 28.177 s [86] loss: 0.668, train acc: 78.724 test acc: 62.940 27.992 s [87] loss: 0.674, train acc: 78.578 test acc: 62.950 28.354 s [88] loss: 0.665, train acc: 78.846 test acc: 63.100 28.091 s [89] loss: 0.663, train acc: 78.856 test acc: 62.460 28.168 s [90] loss: 0.661, train acc: 79.006 test acc: 63.310 28.166 s [91] loss: 0.671, train acc: 78.608 test acc: 63.470 28.294 s [92] loss: 0.659, train acc: 78.918 test acc: 62.620 28.139 s [93] loss: 0.668, train acc: 78.854 test acc: 63.260 28.554 s [94] loss: 0.661, train acc: 78.764 test acc: 62.650 27.869 s [95] loss: 0.659, train acc: 78.880 test acc: 61.030 28.446 s [96] loss: 0.655, train acc: 79.302 test acc: 62.820 28.322 s [97] loss: 0.651, train acc: 79.228 test acc: 62.660 28.055 s [98] loss: 0.650, train acc: 79.412 test acc: 62.810 27.941 s [99] loss: 0.656, train acc: 78.946 test acc: 64.240 28.335 s [100] loss: 0.649, train acc: 79.378 test acc: 62.110 28.488 s [1] loss: 0.578, train acc: 81.660 test acc: 63.760 27.965 s [2] loss: 0.593, train acc: 81.132 test acc: 63.810 28.200 s [3] loss: 0.602, train acc: 80.612 test acc: 63.730 28.138 s [4] loss: 0.595, train acc: 80.992 test acc: 63.000 28.046 s [5] loss: 0.598, train acc: 80.890 test acc: 63.730 28.215 s [6] loss: 0.597, train acc: 80.918 test acc: 62.200 28.442 s [7] loss: 0.595, train acc: 80.898 test acc: 62.720 28.484 s [8] loss: 0.600, train acc: 80.818 test acc: 63.430 28.004 s [9] loss: 0.594, train acc: 80.768 test acc: 63.370 28.150 s [10] loss: 0.605, train acc: 80.542 test acc: 63.730 28.261 s [11] loss: 0.599, train acc: 80.732 test acc: 64.190 28.055 s [12] loss: 0.596, train acc: 80.728 test acc: 63.300 28.364 s [13] loss: 0.597, train acc: 80.740 test acc: 63.520 28.337 s [14] loss: 0.606, train acc: 80.384 test acc: 64.020 28.004 s [15] loss: 0.600, train acc: 80.854 test acc: 63.220 28.329 s [16] loss: 0.593, train acc: 80.990 test acc: 62.800 28.061 s [17] loss: 0.602, train acc: 80.914 test acc: 63.460 28.292 s [18] loss: 0.599, train acc: 80.732 test acc: 63.980 28.403 s [19] loss: 0.603, train acc: 80.706 test acc: 62.840 28.448 s [20] loss: 0.592, train acc: 81.120 test acc: 61.780 27.993 s [21] loss: 0.602, train acc: 80.672 test acc: 62.950 28.319 s [22] loss: 0.601, train acc: 80.574 test acc: 63.260 27.895 s [23] loss: 0.599, train acc: 80.806 test acc: 63.700 28.165 s [24] loss: 0.597, train acc: 80.760 test acc: 63.090 28.227 s [25] loss: 0.603, train acc: 80.790 test acc: 62.890 28.320 s [26] loss: 0.597, train acc: 80.840 test acc: 63.030 28.196 s [27] loss: 0.603, train acc: 80.674 test acc: 63.050 28.401 s [28] loss: 0.601, train acc: 80.504 test acc: 63.020 27.846 s [29] loss: 0.597, train acc: 80.864 test acc: 63.340 28.026 s [30] loss: 0.596, train acc: 80.922 test acc: 63.010 28.214 s [1] loss: 0.539, train acc: 82.738 test acc: 64.420 21.937 s [2] loss: 0.546, train acc: 82.488 test acc: 64.070 22.119 s [3] loss: 0.551, train acc: 82.356 test acc: 64.160 22.172 s [4] loss: 0.563, train acc: 82.004 test acc: 62.850 22.135 s [5] loss: 0.566, train acc: 81.902 test acc: 63.360 21.985 s [6] loss: 0.563, train acc: 82.000 test acc: 63.830 22.117 s [7] loss: 0.571, train acc: 81.632 test acc: 64.280 22.237 s [8] loss: 0.572, train acc: 81.752 test acc: 63.710 22.164 s [9] loss: 0.566, train acc: 81.772 test acc: 64.330 22.111 s [10] loss: 0.573, train acc: 81.708 test acc: 63.330 22.268 s [11] loss: 0.588, train acc: 81.186 test acc: 63.170 22.112 s [12] loss: 0.584, train acc: 81.318 test acc: 64.780 22.102 s [13] loss: 0.576, train acc: 81.620 test acc: 62.920 22.103 s [14] loss: 0.581, train acc: 81.354 test acc: 64.060 22.154 s [15] loss: 0.567, train acc: 81.998 test acc: 64.150 22.199 s [16] loss: 0.569, train acc: 81.834 test acc: 64.040 22.011 s [17] loss: 0.569, train acc: 81.612 test acc: 63.680 22.049 s [18] loss: 0.585, train acc: 81.232 test acc: 63.000 22.225 s [19] loss: 0.580, train acc: 81.350 test acc: 63.820 21.999 s [20] loss: 0.583, train acc: 81.246 test acc: 63.680 22.147 s [21] loss: 0.576, train acc: 81.570 test acc: 63.000 22.086 s [22] loss: 0.570, train acc: 81.828 test acc: 63.410 22.052 s [23] loss: 0.574, train acc: 81.644 test acc: 63.970 22.038 s [24] loss: 0.579, train acc: 81.472 test acc: 63.130 22.043 s [25] loss: 0.578, train acc: 81.514 test acc: 63.720 22.128 s [26] loss: 0.584, train acc: 81.246 test acc: 63.550 22.211 s [27] loss: 0.583, train acc: 81.274 test acc: 63.590 22.138 s [28] loss: 0.580, train acc: 81.408 test acc: 63.450 22.090 s [29] loss: 0.574, train acc: 81.562 test acc: 65.160 21.892 s [30] loss: 0.582, train acc: 81.402 test acc: 63.710 22.073 s [1] loss: 0.510, train acc: 83.844 test acc: 65.220 19.601 s [2] loss: 0.521, train acc: 83.280 test acc: 63.930 19.507 s [3] loss: 0.524, train acc: 83.330 test acc: 64.560 19.620 s [4] loss: 0.527, train acc: 83.000 test acc: 63.900 19.541 s [5] loss: 0.526, train acc: 83.168 test acc: 64.060 19.702 s [6] loss: 0.539, train acc: 82.844 test acc: 63.700 19.688 s [7] loss: 0.537, train acc: 82.950 test acc: 63.890 19.613 s [8] loss: 0.541, train acc: 82.648 test acc: 64.000 19.662 s [9] loss: 0.536, train acc: 82.764 test acc: 63.570 19.696 s [10] loss: 0.534, train acc: 82.884 test acc: 64.270 19.569 s [11] loss: 0.542, train acc: 82.592 test acc: 63.810 19.472 s [12] loss: 0.538, train acc: 82.802 test acc: 64.110 19.622 s [13] loss: 0.550, train acc: 82.496 test acc: 62.760 19.532 s [14] loss: 0.546, train acc: 82.502 test acc: 62.770 19.678 s [15] loss: 0.548, train acc: 82.506 test acc: 63.750 19.593 s [16] loss: 0.546, train acc: 82.688 test acc: 63.430 19.606 s [17] loss: 0.545, train acc: 82.332 test acc: 63.640 19.652 s [18] loss: 0.536, train acc: 82.714 test acc: 64.170 19.412 s [19] loss: 0.546, train acc: 82.650 test acc: 63.420 19.696 s [20] loss: 0.539, train acc: 82.824 test acc: 63.900 19.606 s [21] loss: 0.542, train acc: 82.854 test acc: 62.560 19.631 s [22] loss: 0.553, train acc: 82.328 test acc: 63.680 19.625 s [23] loss: 0.542, train acc: 82.760 test acc: 63.060 19.711 s [24] loss: 0.547, train acc: 82.466 test acc: 62.380 19.660 s [25] loss: 0.544, train acc: 82.610 test acc: 63.710 19.759 s [26] loss: 0.541, train acc: 82.536 test acc: 63.390 19.702 s [27] loss: 0.539, train acc: 82.740 test acc: 63.440 19.670 s [28] loss: 0.546, train acc: 82.364 test acc: 64.040 19.645 s [29] loss: 0.550, train acc: 82.328 test acc: 64.030 19.595 s [30] loss: 0.543, train acc: 82.680 test acc: 63.650 19.640 s [1] loss: 0.461, train acc: 85.342 test acc: 65.360 17.687 s [2] loss: 0.464, train acc: 85.268 test acc: 64.990 17.844 s [3] loss: 0.473, train acc: 84.846 test acc: 65.350 17.829 s [4] loss: 0.477, train acc: 84.786 test acc: 64.590 17.737 s [5] loss: 0.482, train acc: 84.786 test acc: 64.490 17.726 s [6] loss: 0.488, train acc: 84.502 test acc: 64.150 17.797 s [7] loss: 0.486, train acc: 84.546 test acc: 64.810 17.787 s [8] loss: 0.492, train acc: 84.308 test acc: 64.160 17.814 s [9] loss: 0.491, train acc: 84.224 test acc: 64.300 17.817 s [10] loss: 0.483, train acc: 84.904 test acc: 64.580 17.735 s [11] loss: 0.498, train acc: 84.052 test acc: 64.150 17.730 s [12] loss: 0.494, train acc: 84.222 test acc: 64.130 17.818 s [13] loss: 0.495, train acc: 84.280 test acc: 64.850 17.852 s [14] loss: 0.499, train acc: 84.250 test acc: 63.860 17.674 s [15] loss: 0.497, train acc: 84.138 test acc: 64.560 17.868 s [16] loss: 0.497, train acc: 84.068 test acc: 64.450 17.724 s [17] loss: 0.498, train acc: 84.078 test acc: 63.890 17.831 s [18] loss: 0.496, train acc: 84.104 test acc: 64.720 17.746 s [19] loss: 0.500, train acc: 83.972 test acc: 64.890 17.674 s [20] loss: 0.508, train acc: 83.800 test acc: 64.340 17.815 s [21] loss: 0.504, train acc: 83.884 test acc: 64.410 17.753 s [22] loss: 0.505, train acc: 83.910 test acc: 65.150 17.893 s [23] loss: 0.504, train acc: 83.962 test acc: 64.630 17.781 s [24] loss: 0.502, train acc: 83.986 test acc: 64.140 17.769 s [25] loss: 0.508, train acc: 83.958 test acc: 64.330 17.836 s [26] loss: 0.503, train acc: 83.882 test acc: 63.990 17.753 s [27] loss: 0.504, train acc: 83.954 test acc: 64.570 17.787 s [28] loss: 0.503, train acc: 83.938 test acc: 64.930 17.700 s [29] loss: 0.503, train acc: 83.980 test acc: 64.550 17.788 s [30] loss: 0.510, train acc: 83.978 test acc: 64.500 17.668 s [1] loss: 0.452, train acc: 85.744 test acc: 65.880 17.064 s [2] loss: 0.454, train acc: 85.490 test acc: 65.400 17.088 s [3] loss: 0.457, train acc: 85.468 test acc: 65.280 16.998 s [4] loss: 0.467, train acc: 85.116 test acc: 64.620 17.000 s [5] loss: 0.477, train acc: 84.992 test acc: 64.710 17.052 s [6] loss: 0.476, train acc: 84.764 test acc: 65.010 16.950 s [7] loss: 0.475, train acc: 84.886 test acc: 64.790 17.007 s [8] loss: 0.472, train acc: 85.094 test acc: 65.050 16.942 s [9] loss: 0.477, train acc: 84.832 test acc: 65.270 17.042 s [10] loss: 0.478, train acc: 84.698 test acc: 64.910 17.112 s [11] loss: 0.480, train acc: 84.664 test acc: 64.890 16.992 s [12] loss: 0.482, train acc: 84.590 test acc: 64.350 17.054 s [13] loss: 0.485, train acc: 84.576 test acc: 64.460 17.011 s [14] loss: 0.490, train acc: 84.420 test acc: 64.390 16.888 s [15] loss: 0.481, train acc: 84.948 test acc: 65.020 17.051 s [16] loss: 0.485, train acc: 84.720 test acc: 64.370 17.119 s [17] loss: 0.481, train acc: 84.764 test acc: 63.670 16.915 s [18] loss: 0.486, train acc: 84.588 test acc: 64.490 16.931 s [19] loss: 0.485, train acc: 84.740 test acc: 64.230 16.922 s [20] loss: 0.488, train acc: 84.498 test acc: 64.680 17.060 s [21] loss: 0.492, train acc: 84.490 test acc: 64.340 16.964 s [22] loss: 0.482, train acc: 84.826 test acc: 64.250 17.099 s [23] loss: 0.491, train acc: 84.214 test acc: 63.960 16.996 s [24] loss: 0.488, train acc: 84.584 test acc: 64.050 17.082 s [25] loss: 0.497, train acc: 84.280 test acc: 65.440 17.112 s [26] loss: 0.493, train acc: 84.280 test acc: 64.550 17.102 s [27] loss: 0.502, train acc: 83.928 test acc: 64.950 17.080 s [28] loss: 0.498, train acc: 84.222 test acc: 64.750 16.914 s [29] loss: 0.500, train acc: 84.400 test acc: 64.530 17.038 s [30] loss: 0.497, train acc: 84.178 test acc: 63.800 17.131 s [1] loss: 0.446, train acc: 85.908 test acc: 65.350 17.121 s [2] loss: 0.453, train acc: 85.846 test acc: 65.730 16.681 s [3] loss: 0.459, train acc: 85.730 test acc: 65.370 16.804 s [4] loss: 0.461, train acc: 85.384 test acc: 64.970 16.862 s [5] loss: 0.463, train acc: 85.482 test acc: 64.920 16.640 s [6] loss: 0.465, train acc: 85.138 test acc: 64.460 16.697 s [7] loss: 0.465, train acc: 85.284 test acc: 64.500 16.787 s [8] loss: 0.471, train acc: 85.244 test acc: 65.590 16.584 s [9] loss: 0.463, train acc: 85.446 test acc: 64.840 16.716 s [10] loss: 0.468, train acc: 85.326 test acc: 64.830 16.819 s [11] loss: 0.472, train acc: 85.100 test acc: 64.360 16.738 s [12] loss: 0.470, train acc: 85.170 test acc: 64.980 16.732 s [13] loss: 0.478, train acc: 84.802 test acc: 64.720 16.647 s [14] loss: 0.479, train acc: 84.944 test acc: 65.220 16.562 s [15] loss: 0.471, train acc: 85.102 test acc: 64.730 16.662 s [16] loss: 0.476, train acc: 84.884 test acc: 64.400 16.852 s [17] loss: 0.473, train acc: 85.046 test acc: 65.100 16.824 s [18] loss: 0.468, train acc: 85.140 test acc: 64.870 16.588 s [19] loss: 0.475, train acc: 85.050 test acc: 65.180 16.528 s [20] loss: 0.481, train acc: 84.832 test acc: 64.740 16.717 s [21] loss: 0.472, train acc: 85.160 test acc: 64.550 16.553 s [22] loss: 0.485, train acc: 84.574 test acc: 64.560 16.873 s [23] loss: 0.480, train acc: 84.844 test acc: 65.200 16.660 s [24] loss: 0.480, train acc: 85.014 test acc: 64.950 16.747 s [25] loss: 0.488, train acc: 84.758 test acc: 64.750 16.973 s [26] loss: 0.478, train acc: 85.060 test acc: 64.500 16.947 s [27] loss: 0.486, train acc: 84.774 test acc: 64.720 16.626 s [28] loss: 0.481, train acc: 84.740 test acc: 65.080 16.722 s [29] loss: 0.480, train acc: 84.814 test acc: 64.580 16.895 s [30] loss: 0.487, train acc: 84.736 test acc: 64.320 16.622 s