[1] loss: 3.829, train acc: 10.992 test acc: 17.680 38.980 s [2] loss: 3.060, train acc: 23.824 test acc: 28.570 29.255 s [3] loss: 2.555, train acc: 33.606 test acc: 37.130 28.342 s [4] loss: 2.255, train acc: 40.044 test acc: 41.070 28.336 s [5] loss: 2.049, train acc: 44.694 test acc: 44.730 28.376 s [6] loss: 1.898, train acc: 48.180 test acc: 46.640 28.470 s [7] loss: 1.778, train acc: 50.780 test acc: 49.620 28.497 s [8] loss: 1.679, train acc: 53.558 test acc: 50.690 28.364 s [9] loss: 1.597, train acc: 55.438 test acc: 51.980 28.392 s [10] loss: 1.525, train acc: 57.136 test acc: 53.680 28.422 s [11] loss: 1.473, train acc: 58.510 test acc: 52.740 28.437 s [12] loss: 1.414, train acc: 59.762 test acc: 54.530 28.385 s [13] loss: 1.365, train acc: 61.252 test acc: 56.560 28.511 s [14] loss: 1.322, train acc: 62.164 test acc: 55.910 28.310 s [15] loss: 1.280, train acc: 63.330 test acc: 56.780 28.317 s [16] loss: 1.249, train acc: 64.060 test acc: 57.250 28.286 s [17] loss: 1.205, train acc: 64.894 test acc: 57.560 29.616 s [18] loss: 1.178, train acc: 66.070 test acc: 57.480 28.279 s [19] loss: 1.143, train acc: 66.560 test acc: 58.020 28.366 s [20] loss: 1.117, train acc: 67.478 test acc: 58.530 28.270 s [21] loss: 1.092, train acc: 68.038 test acc: 59.260 28.199 s [22] loss: 1.065, train acc: 68.826 test acc: 59.600 28.270 s [23] loss: 1.050, train acc: 69.266 test acc: 58.740 28.253 s [24] loss: 1.019, train acc: 70.094 test acc: 59.460 28.349 s [25] loss: 0.999, train acc: 70.558 test acc: 59.120 28.298 s [26] loss: 0.985, train acc: 70.914 test acc: 60.140 28.360 s [27] loss: 0.961, train acc: 71.394 test acc: 59.650 28.338 s [28] loss: 0.942, train acc: 71.928 test acc: 60.330 28.351 s [29] loss: 0.917, train acc: 72.618 test acc: 60.720 28.338 s [30] loss: 0.905, train acc: 73.082 test acc: 60.880 28.315 s [31] loss: 0.886, train acc: 73.650 test acc: 61.100 28.331 s [32] loss: 0.867, train acc: 74.140 test acc: 60.900 28.268 s [33] loss: 0.859, train acc: 74.280 test acc: 60.990 28.350 s [34] loss: 0.840, train acc: 74.850 test acc: 61.300 28.266 s [35] loss: 0.828, train acc: 75.074 test acc: 61.070 28.279 s [36] loss: 0.809, train acc: 75.796 test acc: 61.170 28.320 s [37] loss: 0.797, train acc: 75.996 test acc: 61.420 29.229 s [38] loss: 0.787, train acc: 76.190 test acc: 61.780 28.444 s [39] loss: 0.776, train acc: 76.586 test acc: 62.340 28.379 s [40] loss: 0.763, train acc: 76.838 test acc: 62.790 28.335 s [41] loss: 0.749, train acc: 77.412 test acc: 62.680 28.285 s [42] loss: 0.741, train acc: 77.610 test acc: 61.780 28.308 s [43] loss: 0.717, train acc: 78.528 test acc: 62.190 28.434 s [44] loss: 0.721, train acc: 78.056 test acc: 61.630 28.303 s [45] loss: 0.702, train acc: 78.672 test acc: 62.120 28.356 s [46] loss: 0.690, train acc: 78.908 test acc: 62.680 28.312 s [47] loss: 0.680, train acc: 79.186 test acc: 62.870 28.348 s [48] loss: 0.669, train acc: 79.378 test acc: 62.370 28.320 s [49] loss: 0.663, train acc: 79.708 test acc: 61.960 28.336 s [50] loss: 0.657, train acc: 79.992 test acc: 62.610 28.315 s [51] loss: 0.639, train acc: 80.482 test acc: 63.580 28.340 s [52] loss: 0.636, train acc: 80.484 test acc: 62.660 28.421 s [53] loss: 0.625, train acc: 80.928 test acc: 62.630 28.342 s [54] loss: 0.617, train acc: 80.992 test acc: 62.570 28.342 s [55] loss: 0.615, train acc: 81.118 test acc: 62.600 28.301 s [56] loss: 0.602, train acc: 81.500 test acc: 62.850 28.368 s [57] loss: 0.591, train acc: 81.818 test acc: 62.710 28.399 s [58] loss: 0.585, train acc: 81.894 test acc: 62.630 28.286 s [59] loss: 0.581, train acc: 82.010 test acc: 62.770 28.481 s [60] loss: 0.567, train acc: 82.578 test acc: 62.210 28.335 s [61] loss: 0.565, train acc: 82.490 test acc: 62.870 28.359 s [62] loss: 0.553, train acc: 82.764 test acc: 62.510 28.379 s [63] loss: 0.551, train acc: 82.838 test acc: 63.120 28.441 s [64] loss: 0.540, train acc: 83.080 test acc: 62.490 28.478 s [65] loss: 0.534, train acc: 83.200 test acc: 62.450 28.496 s [66] loss: 0.524, train acc: 83.846 test acc: 62.680 28.433 s [67] loss: 0.520, train acc: 83.754 test acc: 61.940 28.464 s [68] loss: 0.516, train acc: 83.790 test acc: 61.840 28.429 s [69] loss: 0.507, train acc: 84.248 test acc: 62.650 28.549 s [70] loss: 0.501, train acc: 84.406 test acc: 62.910 28.430 s [71] loss: 0.494, train acc: 84.520 test acc: 63.570 28.478 s [72] loss: 0.488, train acc: 84.510 test acc: 62.920 28.494 s [73] loss: 0.484, train acc: 84.814 test acc: 62.190 28.354 s [74] loss: 0.477, train acc: 84.922 test acc: 63.560 28.344 s [75] loss: 0.471, train acc: 85.292 test acc: 62.250 28.386 s [76] loss: 0.470, train acc: 85.148 test acc: 62.860 28.315 s [77] loss: 0.459, train acc: 85.698 test acc: 62.500 28.341 s [78] loss: 0.456, train acc: 85.718 test acc: 62.910 28.326 s [79] loss: 0.446, train acc: 86.158 test acc: 62.650 28.345 s [80] loss: 0.447, train acc: 85.938 test acc: 62.760 28.313 s [81] loss: 0.435, train acc: 86.414 test acc: 62.830 28.319 s [82] loss: 0.431, train acc: 86.154 test acc: 62.250 28.392 s [83] loss: 0.430, train acc: 86.396 test acc: 61.840 28.431 s [84] loss: 0.429, train acc: 86.610 test acc: 63.240 28.280 s [85] loss: 0.422, train acc: 86.516 test acc: 62.400 28.308 s [86] loss: 0.421, train acc: 86.576 test acc: 62.350 28.445 s [87] loss: 0.411, train acc: 87.002 test acc: 62.810 28.410 s [88] loss: 0.405, train acc: 87.198 test acc: 62.500 28.328 s [89] loss: 0.403, train acc: 87.226 test acc: 63.150 28.431 s [90] loss: 0.398, train acc: 87.186 test acc: 62.850 28.361 s [91] loss: 0.396, train acc: 87.314 test acc: 62.660 28.274 s [92] loss: 0.399, train acc: 87.308 test acc: 63.180 28.377 s [93] loss: 0.387, train acc: 87.738 test acc: 62.860 28.363 s [94] loss: 0.378, train acc: 88.142 test acc: 63.000 28.186 s [95] loss: 0.376, train acc: 88.096 test acc: 63.280 28.379 s [96] loss: 0.371, train acc: 88.040 test acc: 62.610 28.305 s [97] loss: 0.373, train acc: 87.920 test acc: 62.540 28.369 s [98] loss: 0.366, train acc: 88.356 test acc: 63.360 28.319 s [99] loss: 0.367, train acc: 88.352 test acc: 62.610 28.377 s [100] loss: 0.359, train acc: 88.610 test acc: 62.840 28.294 s [1] loss: 0.278, train acc: 91.676 test acc: 64.390 28.304 s [2] loss: 0.249, train acc: 92.714 test acc: 63.860 28.361 s [3] loss: 0.244, train acc: 92.936 test acc: 64.190 28.321 s [4] loss: 0.235, train acc: 93.176 test acc: 64.170 28.276 s [5] loss: 0.234, train acc: 93.214 test acc: 64.230 28.346 s [6] loss: 0.229, train acc: 93.390 test acc: 64.380 28.267 s [7] loss: 0.223, train acc: 93.582 test acc: 64.330 28.327 s [8] loss: 0.221, train acc: 93.634 test acc: 64.420 28.352 s [9] loss: 0.219, train acc: 93.682 test acc: 64.740 28.339 s [10] loss: 0.213, train acc: 94.012 test acc: 64.690 28.330 s [1] loss: 0.198, train acc: 94.480 test acc: 64.520 28.283 s [2] loss: 0.195, train acc: 94.634 test acc: 64.630 28.350 s [3] loss: 0.192, train acc: 94.842 test acc: 64.520 28.396 s [4] loss: 0.191, train acc: 94.768 test acc: 64.600 28.546 s [5] loss: 0.189, train acc: 94.886 test acc: 64.620 28.355 s [6] loss: 0.188, train acc: 94.872 test acc: 64.540 28.331 s [7] loss: 0.186, train acc: 94.914 test acc: 64.630 28.334 s [8] loss: 0.185, train acc: 94.998 test acc: 64.800 28.292 s [9] loss: 0.185, train acc: 94.916 test acc: 64.810 28.384 s [10] loss: 0.186, train acc: 94.898 test acc: 64.810 28.387 s [11] loss: 0.183, train acc: 95.118 test acc: 64.730 28.417 s [12] loss: 0.180, train acc: 95.152 test acc: 64.650 28.347 s [13] loss: 0.179, train acc: 95.186 test acc: 64.510 28.308 s [14] loss: 0.180, train acc: 95.256 test acc: 64.560 28.296 s [15] loss: 0.180, train acc: 95.176 test acc: 64.380 28.312 s [16] loss: 0.177, train acc: 95.170 test acc: 64.460 28.328 s [17] loss: 0.177, train acc: 95.190 test acc: 64.420 28.348 s [18] loss: 0.181, train acc: 95.160 test acc: 64.630 28.318 s [19] loss: 0.177, train acc: 95.258 test acc: 64.740 28.315 s [20] loss: 0.176, train acc: 95.258 test acc: 64.430 28.315 s [21] loss: 0.174, train acc: 95.456 test acc: 64.570 28.335 s [22] loss: 0.174, train acc: 95.304 test acc: 64.630 28.304 s [23] loss: 0.176, train acc: 95.360 test acc: 64.510 28.390 s [24] loss: 0.176, train acc: 95.290 test acc: 64.600 28.408 s [25] loss: 0.172, train acc: 95.438 test acc: 64.740 28.345 s [26] loss: 0.170, train acc: 95.522 test acc: 64.810 28.224 s [27] loss: 0.173, train acc: 95.394 test acc: 64.710 28.342 s [28] loss: 0.173, train acc: 95.316 test acc: 64.830 28.358 s [29] loss: 0.169, train acc: 95.620 test acc: 64.430 28.420 s [30] loss: 0.167, train acc: 95.574 test acc: 64.750 28.439 s [1] loss: 0.164, train acc: 95.700 test acc: 64.650 28.305 s [2] loss: 0.166, train acc: 95.628 test acc: 64.720 28.293 s [3] loss: 0.169, train acc: 95.526 test acc: 64.620 28.442 s [4] loss: 0.162, train acc: 95.762 test acc: 64.620 28.315 s [5] loss: 0.165, train acc: 95.704 test acc: 64.580 28.356 s [6] loss: 0.163, train acc: 95.730 test acc: 64.740 28.450 s [7] loss: 0.162, train acc: 95.848 test acc: 64.750 28.299 s [8] loss: 0.164, train acc: 95.670 test acc: 64.730 28.360 s [9] loss: 0.162, train acc: 95.752 test acc: 64.720 28.483 s [10] loss: 0.162, train acc: 95.744 test acc: 64.540 28.408 s [11] loss: 0.164, train acc: 95.710 test acc: 64.640 28.401 s [12] loss: 0.163, train acc: 95.686 test acc: 64.790 28.433 s [13] loss: 0.164, train acc: 95.714 test acc: 64.700 28.529 s [14] loss: 0.164, train acc: 95.692 test acc: 64.720 28.359 s [15] loss: 0.160, train acc: 95.828 test acc: 64.690 28.320 s [16] loss: 0.160, train acc: 95.908 test acc: 64.610 28.255 s [17] loss: 0.160, train acc: 95.874 test acc: 64.740 28.434 s [18] loss: 0.159, train acc: 95.902 test acc: 64.630 28.221 s [19] loss: 0.160, train acc: 95.830 test acc: 64.620 28.368 s [20] loss: 0.161, train acc: 95.838 test acc: 64.700 28.287 s [21] loss: 0.161, train acc: 95.740 test acc: 64.570 28.376 s [22] loss: 0.160, train acc: 95.828 test acc: 64.530 28.392 s [23] loss: 0.160, train acc: 95.874 test acc: 64.520 28.370 s [24] loss: 0.160, train acc: 95.864 test acc: 64.540 28.365 s [25] loss: 0.160, train acc: 95.784 test acc: 64.630 28.302 s [26] loss: 0.161, train acc: 95.806 test acc: 64.630 28.317 s [27] loss: 0.157, train acc: 95.994 test acc: 64.600 28.318 s [28] loss: 0.160, train acc: 95.876 test acc: 64.570 28.333 s [29] loss: 0.160, train acc: 95.954 test acc: 64.600 28.319 s [30] loss: 0.160, train acc: 95.826 test acc: 64.420 28.355 s [31] loss: 0.158, train acc: 95.908 test acc: 64.420 28.315 s [32] loss: 0.158, train acc: 96.006 test acc: 64.640 28.463 s [33] loss: 0.161, train acc: 95.826 test acc: 64.470 28.381 s [34] loss: 0.158, train acc: 96.018 test acc: 64.540 28.315 s [35] loss: 0.158, train acc: 95.940 test acc: 64.490 28.409 s [36] loss: 0.159, train acc: 95.954 test acc: 64.600 28.360 s [37] loss: 0.158, train acc: 95.974 test acc: 64.620 28.357 s [38] loss: 0.156, train acc: 95.982 test acc: 64.550 28.426 s [39] loss: 0.157, train acc: 95.856 test acc: 64.600 28.360 s [40] loss: 0.159, train acc: 95.868 test acc: 64.670 28.323 s [41] loss: 0.159, train acc: 95.772 test acc: 64.550 28.322 s [42] loss: 0.158, train acc: 95.954 test acc: 64.570 28.358 s [43] loss: 0.157, train acc: 96.002 test acc: 64.480 28.404 s [44] loss: 0.161, train acc: 95.868 test acc: 64.390 28.430 s [45] loss: 0.157, train acc: 95.910 test acc: 64.560 28.397 s [46] loss: 0.155, train acc: 96.080 test acc: 64.510 28.428 s [47] loss: 0.156, train acc: 95.980 test acc: 64.710 28.364 s [48] loss: 0.155, train acc: 96.058 test acc: 64.660 28.394 s [49] loss: 0.156, train acc: 96.028 test acc: 64.600 28.469 s [50] loss: 0.156, train acc: 96.154 test acc: 64.570 28.394 s [1] loss: 5.010, train acc: 1.672 test acc: 2.160 54.292 s [2] loss: 4.503, train acc: 3.040 test acc: 3.910 55.728 s [3] loss: 4.368, train acc: 4.048 test acc: 5.080 53.613 s [4] loss: 4.285, train acc: 4.772 test acc: 5.510 53.745 s [5] loss: 4.220, train acc: 5.310 test acc: 5.720 53.470 s [6] loss: 4.168, train acc: 5.622 test acc: 6.140 53.558 s [7] loss: 4.121, train acc: 6.110 test acc: 6.990 53.576 s [8] loss: 4.074, train acc: 6.822 test acc: 7.350 53.742 s [9] loss: 4.031, train acc: 7.360 test acc: 8.210 53.385 s [10] loss: 3.990, train acc: 7.890 test acc: 8.410 53.714 s [11] loss: 3.960, train acc: 8.354 test acc: 8.820 53.587 s [12] loss: 3.924, train acc: 8.990 test acc: 8.990 53.461 s [13] loss: 3.888, train acc: 9.666 test acc: 9.890 53.642 s [14] loss: 3.849, train acc: 10.250 test acc: 10.770 53.580 s [15] loss: 3.818, train acc: 10.596 test acc: 11.010 53.238 s [16] loss: 3.793, train acc: 10.946 test acc: 11.190 53.182 s [17] loss: 3.759, train acc: 11.716 test acc: 12.490 53.811 s [18] loss: 3.713, train acc: 12.260 test acc: 12.070 53.766 s [19] loss: 3.684, train acc: 12.436 test acc: 12.570 53.642 s [20] loss: 3.659, train acc: 13.028 test acc: 13.210 53.214 s [21] loss: 3.630, train acc: 13.340 test acc: 14.360 54.006 s [22] loss: 3.608, train acc: 14.030 test acc: 14.010 53.434 s [23] loss: 3.582, train acc: 14.438 test acc: 14.920 53.540 s [24] loss: 3.553, train acc: 14.958 test acc: 15.300 53.637 s [25] loss: 3.528, train acc: 15.312 test acc: 15.610 53.872 s [26] loss: 3.505, train acc: 15.728 test acc: 15.930 53.974 s [27] loss: 3.478, train acc: 16.126 test acc: 16.410 53.892 s [28] loss: 3.447, train acc: 16.610 test acc: 17.420 53.782 s [29] loss: 3.431, train acc: 16.740 test acc: 17.990 53.467 s [30] loss: 3.411, train acc: 17.194 test acc: 17.170 53.539 s [31] loss: 3.388, train acc: 17.624 test acc: 17.880 53.714 s [32] loss: 3.371, train acc: 17.740 test acc: 18.560 53.706 s [33] loss: 3.349, train acc: 18.270 test acc: 19.340 53.691 s [34] loss: 3.332, train acc: 18.402 test acc: 19.370 53.668 s [35] loss: 3.306, train acc: 19.026 test acc: 20.090 53.679 s [36] loss: 3.289, train acc: 19.088 test acc: 20.650 54.028 s [37] loss: 3.276, train acc: 19.402 test acc: 20.160 53.590 s [38] loss: 3.264, train acc: 19.670 test acc: 20.210 53.295 s [39] loss: 3.251, train acc: 20.096 test acc: 20.460 53.592 s [40] loss: 3.231, train acc: 20.200 test acc: 21.240 53.659 s [41] loss: 3.213, train acc: 20.644 test acc: 21.180 53.495 s [42] loss: 3.203, train acc: 20.584 test acc: 21.280 53.475 s [43] loss: 3.188, train acc: 20.812 test acc: 21.480 53.620 s [44] loss: 3.169, train acc: 21.454 test acc: 22.450 54.043 s [45] loss: 3.147, train acc: 21.652 test acc: 22.620 53.962 s [46] loss: 3.140, train acc: 21.732 test acc: 22.440 53.727 s [47] loss: 3.123, train acc: 21.986 test acc: 23.080 54.167 s [48] loss: 3.116, train acc: 22.074 test acc: 22.730 53.505 s [49] loss: 3.098, train acc: 22.682 test acc: 23.320 54.049 s [50] loss: 3.080, train acc: 22.728 test acc: 23.900 53.901 s [51] loss: 3.067, train acc: 23.392 test acc: 23.620 53.870 s [52] loss: 3.054, train acc: 23.504 test acc: 23.620 53.709 s [53] loss: 3.047, train acc: 23.472 test acc: 24.600 53.643 s [54] loss: 3.037, train acc: 23.698 test acc: 24.140 53.926 s [55] loss: 3.021, train acc: 23.990 test acc: 23.950 53.967 s [56] loss: 3.006, train acc: 24.434 test acc: 24.840 53.810 s [57] loss: 2.989, train acc: 24.778 test acc: 24.730 54.646 s [58] loss: 2.980, train acc: 24.724 test acc: 25.460 56.491 s [59] loss: 2.974, train acc: 24.816 test acc: 24.990 54.065 s [60] loss: 2.960, train acc: 25.410 test acc: 25.930 54.191 s [61] loss: 2.951, train acc: 25.440 test acc: 25.470 53.872 s [62] loss: 2.945, train acc: 25.388 test acc: 25.770 54.044 s [63] loss: 2.922, train acc: 25.990 test acc: 25.630 53.929 s [64] loss: 2.916, train acc: 26.050 test acc: 26.210 54.306 s [65] loss: 2.901, train acc: 26.078 test acc: 26.730 53.615 s [66] loss: 2.887, train acc: 26.548 test acc: 26.510 53.596 s [67] loss: 2.873, train acc: 26.882 test acc: 26.690 53.925 s [68] loss: 2.865, train acc: 27.226 test acc: 27.530 54.422 s [69] loss: 2.844, train acc: 27.356 test acc: 27.770 55.486 s [70] loss: 2.842, train acc: 27.600 test acc: 27.310 55.492 s [71] loss: 2.835, train acc: 27.830 test acc: 27.260 54.427 s [72] loss: 2.820, train acc: 27.988 test acc: 28.660 55.236 s [73] loss: 2.810, train acc: 28.138 test acc: 27.690 54.240 s [74] loss: 2.801, train acc: 28.604 test acc: 28.760 54.236 s [75] loss: 2.789, train acc: 28.620 test acc: 28.710 54.160 s [76] loss: 2.783, train acc: 28.844 test acc: 29.120 54.123 s [77] loss: 2.769, train acc: 29.048 test acc: 29.140 54.197 s [78] loss: 2.763, train acc: 29.240 test acc: 29.970 53.975 s [79] loss: 2.753, train acc: 29.374 test acc: 29.960 54.273 s [80] loss: 2.745, train acc: 29.374 test acc: 29.820 54.293 s [81] loss: 2.738, train acc: 29.674 test acc: 30.400 54.071 s [82] loss: 2.723, train acc: 30.016 test acc: 29.960 55.252 s [83] loss: 2.715, train acc: 30.286 test acc: 30.180 53.916 s [84] loss: 2.710, train acc: 30.148 test acc: 31.010 54.781 s [85] loss: 2.706, train acc: 30.102 test acc: 31.060 54.028 s [86] loss: 2.697, train acc: 30.360 test acc: 30.740 53.910 s [87] loss: 2.679, train acc: 30.736 test acc: 30.560 54.054 s [88] loss: 2.683, train acc: 30.784 test acc: 30.690 54.112 s [89] loss: 2.669, train acc: 31.036 test acc: 32.080 54.032 s [90] loss: 2.658, train acc: 31.414 test acc: 31.710 53.880 s [91] loss: 2.651, train acc: 31.624 test acc: 31.560 54.658 s [92] loss: 2.651, train acc: 31.264 test acc: 31.520 55.376 s [93] loss: 2.643, train acc: 31.672 test acc: 32.400 54.047 s [94] loss: 2.629, train acc: 31.752 test acc: 31.670 54.259 s [95] loss: 2.621, train acc: 32.028 test acc: 32.080 53.842 s [96] loss: 2.624, train acc: 31.970 test acc: 31.160 53.729 s [97] loss: 2.616, train acc: 32.458 test acc: 31.780 54.611 s [98] loss: 2.614, train acc: 32.282 test acc: 31.760 54.540 s [99] loss: 2.599, train acc: 32.370 test acc: 32.300 54.028 s [100] loss: 2.595, train acc: 32.500 test acc: 31.980 54.429 s [1] loss: 2.606, train acc: 32.364 test acc: 32.720 53.990 s [2] loss: 2.614, train acc: 32.310 test acc: 32.230 56.967 s [3] loss: 2.612, train acc: 32.240 test acc: 32.410 54.126 s [4] loss: 2.612, train acc: 32.398 test acc: 32.430 54.456 s [5] loss: 2.605, train acc: 32.702 test acc: 32.540 54.432 s [6] loss: 2.603, train acc: 32.564 test acc: 32.530 54.123 s [7] loss: 2.604, train acc: 32.620 test acc: 31.990 54.534 s [8] loss: 2.600, train acc: 32.832 test acc: 32.820 54.062 s [9] loss: 2.601, train acc: 32.638 test acc: 31.670 53.970 s [10] loss: 2.590, train acc: 33.214 test acc: 32.670 54.172 s [11] loss: 2.592, train acc: 32.738 test acc: 32.680 54.453 s [12] loss: 2.586, train acc: 33.028 test acc: 33.010 54.144 s [13] loss: 2.582, train acc: 32.946 test acc: 32.070 53.945 s [14] loss: 2.585, train acc: 33.022 test acc: 32.750 54.582 s [15] loss: 2.582, train acc: 33.110 test acc: 32.540 55.760 s [16] loss: 2.576, train acc: 33.104 test acc: 32.980 54.531 s [17] loss: 2.583, train acc: 32.884 test acc: 32.230 54.243 s [18] loss: 2.581, train acc: 32.936 test acc: 33.450 55.579 s [19] loss: 2.568, train acc: 33.316 test acc: 33.050 53.676 s [20] loss: 2.562, train acc: 33.510 test acc: 32.790 54.150 s [21] loss: 2.562, train acc: 33.370 test acc: 32.760 53.943 s [22] loss: 2.566, train acc: 32.940 test acc: 32.880 54.542 s [23] loss: 2.558, train acc: 33.344 test acc: 33.450 53.933 s [24] loss: 2.563, train acc: 33.496 test acc: 33.040 54.259 s [25] loss: 2.559, train acc: 33.498 test acc: 33.040 54.072 s [26] loss: 2.557, train acc: 33.456 test acc: 32.530 54.001 s [27] loss: 2.558, train acc: 33.482 test acc: 33.150 54.378 s [28] loss: 2.550, train acc: 33.480 test acc: 34.020 55.331 s [29] loss: 2.543, train acc: 34.054 test acc: 33.360 53.815 s [30] loss: 2.552, train acc: 33.380 test acc: 33.000 54.545 s [1] loss: 2.525, train acc: 34.150 test acc: 34.000 41.797 s [2] loss: 2.529, train acc: 33.854 test acc: 33.740 41.085 s [3] loss: 2.515, train acc: 34.202 test acc: 33.680 41.166 s [4] loss: 2.520, train acc: 34.328 test acc: 33.790 41.357 s [5] loss: 2.517, train acc: 34.228 test acc: 34.250 44.140 s [6] loss: 2.510, train acc: 34.276 test acc: 33.430 41.460 s [7] loss: 2.511, train acc: 34.274 test acc: 33.610 41.192 s [8] loss: 2.511, train acc: 34.610 test acc: 33.520 42.619 s [9] loss: 2.507, train acc: 34.378 test acc: 34.290 41.492 s [10] loss: 2.507, train acc: 34.606 test acc: 34.560 41.443 s [11] loss: 2.500, train acc: 34.582 test acc: 34.210 41.442 s [12] loss: 2.510, train acc: 34.462 test acc: 34.470 41.176 s [13] loss: 2.501, train acc: 34.628 test acc: 34.830 41.459 s [14] loss: 2.496, train acc: 34.628 test acc: 34.040 41.684 s [15] loss: 2.481, train acc: 35.080 test acc: 34.580 41.584 s [16] loss: 2.484, train acc: 35.050 test acc: 34.100 41.615 s [17] loss: 2.480, train acc: 35.106 test acc: 34.390 41.464 s [18] loss: 2.479, train acc: 34.860 test acc: 34.770 41.454 s [19] loss: 2.473, train acc: 34.836 test acc: 34.580 41.494 s [20] loss: 2.478, train acc: 34.966 test acc: 34.290 43.429 s [21] loss: 2.468, train acc: 35.540 test acc: 35.060 41.663 s [22] loss: 2.477, train acc: 35.188 test acc: 34.750 42.660 s [23] loss: 2.466, train acc: 35.290 test acc: 35.080 42.169 s [24] loss: 2.462, train acc: 35.386 test acc: 34.380 41.357 s [25] loss: 2.469, train acc: 35.526 test acc: 34.750 41.395 s [26] loss: 2.465, train acc: 35.478 test acc: 34.520 41.940 s [27] loss: 2.471, train acc: 35.154 test acc: 34.900 41.814 s [28] loss: 2.458, train acc: 35.716 test acc: 35.410 42.068 s [29] loss: 2.460, train acc: 35.334 test acc: 35.280 41.620 s [30] loss: 2.458, train acc: 35.512 test acc: 35.950 41.554 s [1] loss: 2.432, train acc: 36.406 test acc: 36.090 36.880 s [2] loss: 2.439, train acc: 36.044 test acc: 35.760 36.727 s [3] loss: 2.442, train acc: 36.346 test acc: 35.810 36.796 s [4] loss: 2.432, train acc: 36.308 test acc: 35.330 36.726 s