[1] loss: 3.794, train acc: 11.314 test acc: 19.980 28.649 s [2] loss: 2.973, train acc: 25.248 test acc: 29.210 28.386 s [3] loss: 2.512, train acc: 34.380 test acc: 37.360 28.325 s [4] loss: 2.216, train acc: 40.850 test acc: 42.340 28.356 s [5] loss: 2.014, train acc: 45.374 test acc: 45.960 28.438 s [6] loss: 1.861, train acc: 49.168 test acc: 47.990 28.279 s [7] loss: 1.739, train acc: 52.020 test acc: 50.610 28.384 s [8] loss: 1.649, train acc: 54.222 test acc: 52.230 28.304 s [9] loss: 1.562, train acc: 56.226 test acc: 53.370 28.357 s [10] loss: 1.498, train acc: 58.022 test acc: 53.630 28.309 s [11] loss: 1.444, train acc: 58.826 test acc: 55.240 29.686 s [12] loss: 1.386, train acc: 60.702 test acc: 55.650 28.376 s [13] loss: 1.343, train acc: 61.484 test acc: 56.510 28.304 s [14] loss: 1.300, train acc: 62.678 test acc: 57.170 28.336 s [15] loss: 1.260, train acc: 63.882 test acc: 57.760 28.336 s [16] loss: 1.222, train acc: 64.736 test acc: 57.530 28.324 s [17] loss: 1.187, train acc: 65.578 test acc: 57.460 28.353 s [18] loss: 1.159, train acc: 66.304 test acc: 58.260 28.386 s [19] loss: 1.134, train acc: 66.972 test acc: 59.360 28.291 s [20] loss: 1.100, train acc: 67.888 test acc: 58.510 28.352 s [21] loss: 1.080, train acc: 68.236 test acc: 59.560 28.336 s [22] loss: 1.053, train acc: 68.996 test acc: 60.050 28.282 s [23] loss: 1.024, train acc: 69.864 test acc: 59.990 28.355 s [24] loss: 1.010, train acc: 70.018 test acc: 59.690 28.445 s [25] loss: 0.990, train acc: 70.714 test acc: 61.140 28.411 s [26] loss: 0.972, train acc: 71.212 test acc: 61.370 28.295 s [27] loss: 0.948, train acc: 71.904 test acc: 60.460 28.393 s [28] loss: 0.929, train acc: 72.322 test acc: 60.280 28.316 s [29] loss: 0.910, train acc: 72.824 test acc: 60.750 28.273 s [30] loss: 0.890, train acc: 73.380 test acc: 61.100 28.303 s [31] loss: 0.878, train acc: 73.954 test acc: 60.840 28.488 s [32] loss: 0.860, train acc: 74.326 test acc: 60.730 28.333 s [33] loss: 0.847, train acc: 74.520 test acc: 62.230 28.375 s [34] loss: 0.831, train acc: 74.982 test acc: 61.950 28.350 s [35] loss: 0.821, train acc: 75.254 test acc: 61.950 28.284 s [36] loss: 0.801, train acc: 75.954 test acc: 61.720 29.320 s [37] loss: 0.792, train acc: 76.140 test acc: 61.990 28.403 s [38] loss: 0.774, train acc: 76.660 test acc: 62.140 28.331 s [39] loss: 0.764, train acc: 76.916 test acc: 61.880 28.367 s [40] loss: 0.749, train acc: 77.284 test acc: 62.350 28.329 s [41] loss: 0.740, train acc: 77.480 test acc: 62.680 28.290 s [42] loss: 0.722, train acc: 78.000 test acc: 63.190 28.259 s [43] loss: 0.716, train acc: 78.110 test acc: 63.250 28.446 s [44] loss: 0.708, train acc: 78.464 test acc: 61.970 28.400 s [45] loss: 0.692, train acc: 78.902 test acc: 62.720 28.325 s [46] loss: 0.684, train acc: 79.270 test acc: 62.810 28.268 s [47] loss: 0.675, train acc: 79.278 test acc: 62.310 29.411 s [48] loss: 0.667, train acc: 79.626 test acc: 62.110 28.411 s [49] loss: 0.647, train acc: 80.156 test acc: 62.520 28.336 s [50] loss: 0.648, train acc: 79.978 test acc: 62.570 29.862 s [51] loss: 0.631, train acc: 80.598 test acc: 62.670 28.317 s [52] loss: 0.626, train acc: 80.732 test acc: 62.530 28.365 s [53] loss: 0.619, train acc: 80.730 test acc: 63.110 28.362 s [54] loss: 0.613, train acc: 81.146 test acc: 62.790 28.430 s [55] loss: 0.605, train acc: 81.116 test acc: 63.030 28.423 s [56] loss: 0.594, train acc: 81.756 test acc: 63.140 28.416 s [57] loss: 0.584, train acc: 82.130 test acc: 62.950 28.383 s [58] loss: 0.578, train acc: 82.098 test acc: 62.990 28.345 s [59] loss: 0.574, train acc: 82.260 test acc: 62.930 28.286 s [60] loss: 0.559, train acc: 82.526 test acc: 63.010 28.465 s [61] loss: 0.549, train acc: 82.688 test acc: 62.730 28.250 s [62] loss: 0.541, train acc: 83.058 test acc: 62.950 28.412 s [63] loss: 0.538, train acc: 83.222 test acc: 63.390 28.378 s [64] loss: 0.532, train acc: 83.452 test acc: 63.100 28.360 s [65] loss: 0.529, train acc: 83.350 test acc: 62.970 28.408 s [66] loss: 0.516, train acc: 83.780 test acc: 63.590 28.377 s [67] loss: 0.510, train acc: 84.062 test acc: 63.590 28.390 s [68] loss: 0.505, train acc: 84.186 test acc: 62.820 28.325 s [69] loss: 0.503, train acc: 84.272 test acc: 63.420 28.433 s [70] loss: 0.496, train acc: 84.420 test acc: 63.630 28.348 s [71] loss: 0.490, train acc: 84.562 test acc: 63.520 29.374 s [72] loss: 0.478, train acc: 84.770 test acc: 63.390 28.367 s [73] loss: 0.474, train acc: 85.018 test acc: 63.410 28.372 s [74] loss: 0.472, train acc: 85.144 test acc: 63.630 28.389 s [75] loss: 0.468, train acc: 85.160 test acc: 63.540 28.444 s [76] loss: 0.464, train acc: 85.244 test acc: 62.660 28.221 s [77] loss: 0.457, train acc: 85.578 test acc: 63.180 28.342 s [78] loss: 0.451, train acc: 85.774 test acc: 63.340 28.383 s [79] loss: 0.449, train acc: 85.718 test acc: 63.030 28.377 s [80] loss: 0.441, train acc: 86.142 test acc: 63.500 28.411 s [81] loss: 0.438, train acc: 86.044 test acc: 63.730 28.400 s [82] loss: 0.428, train acc: 86.570 test acc: 62.710 28.281 s [83] loss: 0.430, train acc: 86.322 test acc: 63.390 28.343 s [84] loss: 0.421, train acc: 86.714 test acc: 63.760 28.409 s [85] loss: 0.415, train acc: 86.826 test acc: 62.490 29.667 s [86] loss: 0.410, train acc: 87.032 test acc: 62.560 28.359 s [87] loss: 0.407, train acc: 87.194 test acc: 63.650 28.362 s [88] loss: 0.407, train acc: 87.148 test acc: 62.980 28.469 s [89] loss: 0.397, train acc: 87.180 test acc: 63.800 28.305 s [90] loss: 0.397, train acc: 87.224 test acc: 63.320 28.356 s [91] loss: 0.381, train acc: 87.956 test acc: 63.420 28.373 s [92] loss: 0.384, train acc: 87.844 test acc: 63.080 28.319 s [93] loss: 0.385, train acc: 87.690 test acc: 62.900 28.307 s [94] loss: 0.379, train acc: 87.868 test acc: 62.320 28.421 s [95] loss: 0.374, train acc: 88.070 test acc: 63.080 28.350 s [96] loss: 0.370, train acc: 88.200 test acc: 63.380 28.353 s [97] loss: 0.361, train acc: 88.494 test acc: 63.780 28.391 s [98] loss: 0.361, train acc: 88.472 test acc: 63.530 28.384 s [99] loss: 0.355, train acc: 88.702 test acc: 62.670 28.379 s [100] loss: 0.357, train acc: 88.516 test acc: 63.270 28.477 s [1] loss: 0.271, train acc: 91.810 test acc: 65.350 28.323 s [2] loss: 0.247, train acc: 92.710 test acc: 64.830 28.374 s [3] loss: 0.241, train acc: 92.850 test acc: 65.590 28.389 s [4] loss: 0.233, train acc: 93.202 test acc: 65.190 28.360 s [5] loss: 0.226, train acc: 93.504 test acc: 65.020 28.330 s [6] loss: 0.221, train acc: 93.620 test acc: 65.150 29.502 s [7] loss: 0.222, train acc: 93.612 test acc: 64.840 28.418 s [8] loss: 0.221, train acc: 93.684 test acc: 65.070 28.350 s [9] loss: 0.216, train acc: 93.858 test acc: 64.960 28.376 s [10] loss: 0.213, train acc: 93.892 test acc: 64.780 28.359 s [1] loss: 0.196, train acc: 94.640 test acc: 65.170 28.452 s [2] loss: 0.190, train acc: 94.756 test acc: 65.180 28.363 s [3] loss: 0.188, train acc: 94.910 test acc: 65.030 28.463 s [4] loss: 0.185, train acc: 95.040 test acc: 65.150 28.360 s [5] loss: 0.185, train acc: 94.954 test acc: 65.210 28.269 s [6] loss: 0.185, train acc: 95.046 test acc: 65.580 28.365 s [7] loss: 0.183, train acc: 95.106 test acc: 65.330 28.365 s [8] loss: 0.182, train acc: 95.074 test acc: 65.210 28.348 s [9] loss: 0.180, train acc: 95.168 test acc: 65.340 28.460 s [10] loss: 0.182, train acc: 94.968 test acc: 65.350 28.263 s [11] loss: 0.179, train acc: 95.218 test acc: 65.320 28.304 s [12] loss: 0.179, train acc: 95.206 test acc: 65.260 29.589 s [13] loss: 0.176, train acc: 95.276 test acc: 65.360 29.665 s [14] loss: 0.175, train acc: 95.280 test acc: 65.290 28.355 s [15] loss: 0.173, train acc: 95.452 test acc: 65.450 28.395 s [16] loss: 0.177, train acc: 95.278 test acc: 65.130 28.421 s [17] loss: 0.175, train acc: 95.400 test acc: 65.310 28.305 s [18] loss: 0.174, train acc: 95.342 test acc: 65.300 28.328 s [19] loss: 0.170, train acc: 95.636 test acc: 65.380 28.278 s [20] loss: 0.174, train acc: 95.384 test acc: 65.510 28.317 s [21] loss: 0.169, train acc: 95.412 test acc: 65.530 28.333 s [22] loss: 0.169, train acc: 95.556 test acc: 65.390 28.421 s [23] loss: 0.173, train acc: 95.312 test acc: 65.310 28.247 s [24] loss: 0.169, train acc: 95.442 test acc: 65.440 28.473 s [25] loss: 0.168, train acc: 95.584 test acc: 65.450 28.369 s [26] loss: 0.167, train acc: 95.576 test acc: 65.450 28.410 s [27] loss: 0.167, train acc: 95.518 test acc: 65.430 28.366 s [28] loss: 0.167, train acc: 95.566 test acc: 65.460 28.424 s [29] loss: 0.167, train acc: 95.584 test acc: 65.300 28.306 s [30] loss: 0.163, train acc: 95.732 test acc: 65.440 28.288 s [1] loss: 0.163, train acc: 95.740 test acc: 65.450 28.295 s [2] loss: 0.160, train acc: 95.808 test acc: 65.650 28.319 s [3] loss: 0.161, train acc: 95.830 test acc: 65.410 28.342 s [4] loss: 0.161, train acc: 95.866 test acc: 65.520 28.328 s [5] loss: 0.160, train acc: 95.922 test acc: 65.410 28.373 s [6] loss: 0.158, train acc: 96.008 test acc: 65.380 28.353 s [7] loss: 0.162, train acc: 95.768 test acc: 65.490 28.400 s [8] loss: 0.159, train acc: 95.872 test acc: 65.500 28.263 s [9] loss: 0.160, train acc: 95.916 test acc: 65.440 28.378 s [10] loss: 0.159, train acc: 95.866 test acc: 65.410 28.266 s [11] loss: 0.161, train acc: 95.764 test acc: 65.400 28.357 s [12] loss: 0.158, train acc: 95.990 test acc: 65.430 28.365 s [13] loss: 0.160, train acc: 95.754 test acc: 65.470 28.313 s [14] loss: 0.160, train acc: 95.864 test acc: 65.360 29.434 s [15] loss: 0.159, train acc: 95.880 test acc: 65.300 28.343 s [16] loss: 0.158, train acc: 95.984 test acc: 65.240 28.287 s [17] loss: 0.159, train acc: 96.034 test acc: 65.290 28.472 s [18] loss: 0.158, train acc: 95.980 test acc: 65.340 28.310 s [19] loss: 0.158, train acc: 95.864 test acc: 65.440 28.351 s [20] loss: 0.158, train acc: 95.916 test acc: 65.390 29.442 s [21] loss: 0.158, train acc: 95.990 test acc: 65.430 28.330 s [22] loss: 0.156, train acc: 95.900 test acc: 65.250 28.372 s [23] loss: 0.156, train acc: 96.012 test acc: 65.450 28.473 s [24] loss: 0.158, train acc: 95.932 test acc: 65.270 28.501 s [25] loss: 0.154, train acc: 96.046 test acc: 65.250 28.394 s [26] loss: 0.158, train acc: 95.918 test acc: 65.220 28.428 s [27] loss: 0.155, train acc: 96.058 test acc: 65.360 28.399 s [28] loss: 0.156, train acc: 96.000 test acc: 65.360 28.395 s [29] loss: 0.155, train acc: 96.002 test acc: 65.240 28.345 s [30] loss: 0.156, train acc: 95.904 test acc: 65.300 28.425 s [31] loss: 0.155, train acc: 96.040 test acc: 65.220 28.307 s [32] loss: 0.154, train acc: 96.118 test acc: 65.350 28.333 s [33] loss: 0.155, train acc: 96.012 test acc: 65.360 28.264 s [34] loss: 0.157, train acc: 95.864 test acc: 65.340 28.439 s [35] loss: 0.158, train acc: 95.930 test acc: 65.290 28.423 s [36] loss: 0.155, train acc: 95.888 test acc: 65.280 28.437 s [37] loss: 0.154, train acc: 96.026 test acc: 65.320 28.356 s [38] loss: 0.154, train acc: 96.058 test acc: 65.330 28.500 s [39] loss: 0.154, train acc: 96.088 test acc: 65.340 28.476 s [40] loss: 0.153, train acc: 96.124 test acc: 65.420 28.447 s [41] loss: 0.154, train acc: 96.076 test acc: 65.340 28.407 s [42] loss: 0.153, train acc: 96.078 test acc: 65.320 28.328 s [43] loss: 0.153, train acc: 96.058 test acc: 65.250 28.435 s [44] loss: 0.153, train acc: 96.060 test acc: 65.200 28.346 s [45] loss: 0.153, train acc: 96.054 test acc: 65.440 28.386 s [46] loss: 0.155, train acc: 95.884 test acc: 65.350 28.312 s [47] loss: 0.153, train acc: 96.076 test acc: 65.290 28.294 s [48] loss: 0.154, train acc: 96.074 test acc: 65.230 28.312 s [49] loss: 0.155, train acc: 95.972 test acc: 65.350 28.437 s [50] loss: 0.152, train acc: 96.080 test acc: 65.400 28.318 s [1] loss: 2.156, train acc: 47.016 test acc: 55.160 48.729 s [2] loss: 1.300, train acc: 64.938 test acc: 57.530 49.537 s [3] loss: 1.169, train acc: 68.278 test acc: 59.230 49.484 s [4] loss: 1.107, train acc: 69.872 test acc: 59.750 49.527 s [5] loss: 1.058, train acc: 70.996 test acc: 60.210 49.858 s [6] loss: 1.025, train acc: 71.816 test acc: 60.640 49.774 s [7] loss: 0.996, train acc: 72.916 test acc: 61.780 49.952 s [8] loss: 0.975, train acc: 73.504 test acc: 62.310 49.639 s [9] loss: 0.970, train acc: 73.346 test acc: 62.330 50.242 s [10] loss: 0.960, train acc: 73.750 test acc: 62.590 50.355 s [11] loss: 0.945, train acc: 74.388 test acc: 61.530 50.090 s [12] loss: 0.939, train acc: 74.392 test acc: 62.160 50.102 s [13] loss: 0.934, train acc: 74.654 test acc: 62.800 50.238 s [14] loss: 0.924, train acc: 74.784 test acc: 62.770 50.120 s [15] loss: 0.922, train acc: 74.908 test acc: 63.100 50.312 s [16] loss: 0.913, train acc: 75.212 test acc: 62.870 49.743 s [17] loss: 0.905, train acc: 75.350 test acc: 63.620 49.298 s [18] loss: 0.904, train acc: 75.548 test acc: 63.280 49.776 s [19] loss: 0.897, train acc: 75.642 test acc: 63.320 49.591 s [20] loss: 0.900, train acc: 75.544 test acc: 63.500 50.385 s [21] loss: 0.901, train acc: 75.690 test acc: 63.090 50.958 s [22] loss: 0.899, train acc: 75.482 test acc: 63.880 50.181 s [23] loss: 0.892, train acc: 75.658 test acc: 62.680 50.265 s [24] loss: 0.888, train acc: 75.846 test acc: 63.490 50.861 s [25] loss: 0.888, train acc: 75.848 test acc: 63.960 50.855 s [26] loss: 0.884, train acc: 75.822 test acc: 63.490 50.650 s [27] loss: 0.884, train acc: 75.984 test acc: 63.470 50.638 s [28] loss: 0.880, train acc: 76.274 test acc: 63.640 50.459 s [29] loss: 0.883, train acc: 75.952 test acc: 63.880 49.827 s [30] loss: 0.874, train acc: 76.454 test acc: 63.200 51.636 s [31] loss: 0.883, train acc: 76.104 test acc: 64.050 51.383 s [32] loss: 0.879, train acc: 76.174 test acc: 63.880 51.581 s [33] loss: 0.877, train acc: 76.446 test acc: 63.700 51.827 s [34] loss: 0.874, train acc: 76.284 test acc: 64.130 51.843 s [35] loss: 0.877, train acc: 76.298 test acc: 64.050 51.626 s [36] loss: 0.879, train acc: 76.172 test acc: 64.030 51.485 s [37] loss: 0.872, train acc: 76.448 test acc: 64.290 51.860 s [38] loss: 0.867, train acc: 76.456 test acc: 63.500 51.305 s [39] loss: 0.868, train acc: 76.622 test acc: 64.320 51.597 s [40] loss: 0.867, train acc: 76.594 test acc: 63.890 51.163 s [41] loss: 0.876, train acc: 76.400 test acc: 63.850 50.455 s [42] loss: 0.875, train acc: 76.442 test acc: 63.850 50.036 s [43] loss: 0.868, train acc: 76.740 test acc: 63.940 49.634 s [44] loss: 0.867, train acc: 76.520 test acc: 64.330 51.403 s [45] loss: 0.869, train acc: 76.596 test acc: 64.180 49.436 s [46] loss: 0.866, train acc: 76.844 test acc: 64.720 50.585 s [47] loss: 0.869, train acc: 76.656 test acc: 64.690 50.614 s [48] loss: 0.870, train acc: 76.794 test acc: 63.460 50.337 s [49] loss: 0.868, train acc: 76.864 test acc: 63.990 50.397 s [50] loss: 0.872, train acc: 76.566 test acc: 63.700 50.587 s [51] loss: 0.872, train acc: 76.562 test acc: 64.590 50.219 s [52] loss: 0.869, train acc: 76.716 test acc: 64.150 51.118 s [53] loss: 0.860, train acc: 76.786 test acc: 63.600 50.558 s [54] loss: 0.871, train acc: 76.464 test acc: 63.880 50.097 s [55] loss: 0.864, train acc: 76.636 test acc: 64.100 50.269 s [56] loss: 0.866, train acc: 76.654 test acc: 64.860 52.352 s [57] loss: 0.858, train acc: 77.070 test acc: 63.770 51.600 s [58] loss: 0.862, train acc: 76.780 test acc: 64.450 51.254 s [59] loss: 0.856, train acc: 76.876 test acc: 64.060 51.579 s [60] loss: 0.861, train acc: 76.832 test acc: 64.810 51.520 s [61] loss: 0.865, train acc: 76.852 test acc: 64.690 51.499 s [62] loss: 0.859, train acc: 76.778 test acc: 64.710 52.960 s [63] loss: 0.860, train acc: 76.826 test acc: 64.970 50.988 s [64] loss: 0.863, train acc: 76.876 test acc: 64.460 51.456 s [65] loss: 0.860, train acc: 76.676 test acc: 63.830 51.835 s [66] loss: 0.857, train acc: 76.870 test acc: 64.740 51.629 s [67] loss: 0.856, train acc: 76.960 test acc: 65.230 50.696 s [68] loss: 0.859, train acc: 77.172 test acc: 64.720 49.550 s [69] loss: 0.858, train acc: 76.850 test acc: 64.520 49.624 s [70] loss: 0.863, train acc: 76.914 test acc: 64.970 49.460 s [71] loss: 0.856, train acc: 77.140 test acc: 64.480 49.526 s [72] loss: 0.864, train acc: 76.972 test acc: 64.300 50.397 s [73] loss: 0.861, train acc: 77.068 test acc: 64.780 50.665 s [74] loss: 0.858, train acc: 77.118 test acc: 64.310 50.069 s [75] loss: 0.860, train acc: 76.822 test acc: 64.080 51.695 s [76] loss: 0.863, train acc: 77.034 test acc: 64.710 50.364 s [77] loss: 0.862, train acc: 76.928 test acc: 64.310 50.655 s [78] loss: 0.860, train acc: 77.036 test acc: 64.620 50.654 s [79] loss: 0.856, train acc: 77.034 test acc: 64.290 50.319 s [80] loss: 0.860, train acc: 77.014 test acc: 64.810 50.691 s [81] loss: 0.856, train acc: 77.182 test acc: 64.100 49.703 s [82] loss: 0.859, train acc: 76.906 test acc: 64.750 53.251 s [83] loss: 0.858, train acc: 76.986 test acc: 64.600 52.225 s [84] loss: 0.855, train acc: 77.028 test acc: 64.580 52.763 s [85] loss: 0.866, train acc: 76.904 test acc: 64.590 52.442 s [86] loss: 0.859, train acc: 76.996 test acc: 64.630 52.711 s [87] loss: 0.858, train acc: 76.970 test acc: 64.620 52.703 s [88] loss: 0.860, train acc: 77.006 test acc: 64.440 52.544 s [89] loss: 0.856, train acc: 77.070 test acc: 65.500 51.146 s [90] loss: 0.859, train acc: 77.254 test acc: 64.630 51.181 s [91] loss: 0.853, train acc: 77.160 test acc: 64.240 51.536 s [92] loss: 0.855, train acc: 76.922 test acc: 64.350 51.987 s [93] loss: 0.852, train acc: 77.246 test acc: 64.660 51.638 s [94] loss: 0.861, train acc: 77.010 test acc: 64.840 50.845 s [95] loss: 0.852, train acc: 77.374 test acc: 64.500 49.821 s [96] loss: 0.850, train acc: 77.336 test acc: 64.210 49.499 s [97] loss: 0.850, train acc: 77.200 test acc: 64.620 51.200 s [98] loss: 0.854, train acc: 77.306 test acc: 64.820 49.699 s [99] loss: 0.850, train acc: 77.324 test acc: 64.760 49.574 s [100] loss: 0.857, train acc: 77.052 test acc: 64.920 50.131 s [1] loss: 0.839, train acc: 77.932 test acc: 65.290 50.584 s [2] loss: 0.851, train acc: 78.018 test acc: 65.070 50.864 s [3] loss: 0.862, train acc: 77.776 test acc: 65.420 50.869 s [4] loss: 0.866, train acc: 77.566 test acc: 64.830 51.036 s [5] loss: 0.867, train acc: 77.872 test acc: 64.980 50.247 s [6] loss: 0.883, train acc: 77.240 test acc: 65.060 50.428 s [7] loss: 0.873, train acc: 77.526 test acc: 64.950 50.568 s [8] loss: 0.874, train acc: 77.516 test acc: 65.320 50.514 s [9] loss: 0.876, train acc: 77.358 test acc: 65.150 51.861 s [10] loss: 0.881, train acc: 77.296 test acc: 64.760 51.642 s [11] loss: 0.877, train acc: 77.394 test acc: 64.790 51.802 s [12] loss: 0.890, train acc: 76.968 test acc: 65.180 51.477 s [13] loss: 0.884, train acc: 77.110 test acc: 65.130 51.371 s [14] loss: 0.888, train acc: 77.212 test acc: 65.150 51.999 s [15] loss: 0.888, train acc: 77.096 test acc: 65.330 51.968 s [16] loss: 0.888, train acc: 77.312 test acc: 64.860 52.414 s [17] loss: 0.893, train acc: 77.130 test acc: 65.140 51.963 s [18] loss: 0.900, train acc: 76.872 test acc: 65.450 52.311 s [19] loss: 0.890, train acc: 77.046 test acc: 64.920 51.923 s [20] loss: 0.897, train acc: 76.914 test acc: 65.300 51.872 s [21] loss: 0.897, train acc: 76.882 test acc: 64.880 52.140 s [22] loss: 0.889, train acc: 77.264 test acc: 65.160 51.759 s [23] loss: 0.900, train acc: 77.090 test acc: 64.820 50.343 s [24] loss: 0.896, train acc: 76.922 test acc: 65.050 50.373 s [25] loss: 0.894, train acc: 76.962 test acc: 64.830 52.496 s [26] loss: 0.901, train acc: 76.952 test acc: 64.720 50.507 s [27] loss: 0.902, train acc: 76.966 test acc: 64.750 50.839 s [28] loss: 0.897, train acc: 76.898 test acc: 65.330 50.609 s [29] loss: 0.903, train acc: 76.632 test acc: 64.770 50.680 s [30] loss: 0.901, train acc: 76.844 test acc: 64.970 50.769 s [1] loss: 0.792, train acc: 78.422 test acc: 64.860 40.148 s [2] loss: 0.802, train acc: 78.424 test acc: 65.580 40.225 s [3] loss: 0.805, train acc: 78.478 test acc: 65.900 40.109 s [4] loss: 0.811, train acc: 78.326 test acc: 65.650 39.920 s [5] loss: 0.816, train acc: 78.242 test acc: 65.100 40.261 s [6] loss: 0.820, train acc: 78.284 test acc: 65.180 40.040 s [7] loss: 0.823, train acc: 78.142 test acc: 65.090 39.313 s [8] loss: 0.829, train acc: 77.914 test acc: 65.090 39.080 s [9] loss: 0.828, train acc: 77.928 test acc: 65.120 39.428 s [10] loss: 0.832, train acc: 77.956 test acc: 65.030 39.636 s [11] loss: 0.835, train acc: 77.738 test acc: 65.300 39.659 s [12] loss: 0.836, train acc: 77.796 test acc: 65.020 41.073 s [13] loss: 0.838, train acc: 77.760 test acc: 65.620 39.657 s [14] loss: 0.841, train acc: 77.830 test acc: 65.220 39.863 s [15] loss: 0.836, train acc: 77.602 test acc: 65.520 39.850 s [16] loss: 0.844, train acc: 77.400 test acc: 65.160 39.851 s [17] loss: 0.841, train acc: 77.656 test acc: 65.000 39.888 s [18] loss: 0.838, train acc: 77.684 test acc: 65.260 39.942 s [19] loss: 0.845, train acc: 77.404 test acc: 64.720 40.208 s [20] loss: 0.846, train acc: 77.436 test acc: 65.190 40.608 s [21] loss: 0.844, train acc: 77.522 test acc: 65.090 40.029 s [22] loss: 0.845, train acc: 77.556 test acc: 65.390 39.981 s [23] loss: 0.845, train acc: 77.510 test acc: 65.440 39.757 s [24] loss: 0.845, train acc: 77.536 test acc: 65.260 40.245 s [25] loss: 0.842, train acc: 77.674 test acc: 65.340 39.845 s [26] loss: 0.854, train acc: 77.462 test acc: 64.790 39.951 s [27] loss: 0.848, train acc: 77.336 test acc: 65.170 40.246 s [28] loss: 0.852, train acc: 77.262 test acc: 64.810 40.277 s [29] loss: 0.850, train acc: 77.408 test acc: 64.830 41.406 s [30] loss: 0.843, train acc: 77.674 test acc: 65.070 40.268 s [1] loss: 0.780, train acc: 78.904 test acc: 66.020 35.165 s [2] loss: 0.787, train acc: 78.836 test acc: 65.480 35.074 s [3] loss: 0.789, train acc: 78.930 test acc: 65.540 35.085 s [4] loss: 0.797, train acc: 78.764 test acc: 65.680 35.160 s [5] loss: 0.799, train acc: 78.746 test acc: 65.350 35.257 s [6] loss: 0.809, train acc: 78.514 test acc: 65.660 35.210 s [7] loss: 0.804, train acc: 78.684 test acc: 65.920 35.490 s [8] loss: 0.804, train acc: 78.722 test acc: 65.660 35.528 s [9] loss: 0.813, train acc: 78.440 test acc: 65.690 35.510 s [10] loss: 0.807, train acc: 78.652 test acc: 65.280 35.453 s [11] loss: 0.818, train acc: 78.318 test acc: 65.470 35.469 s [12] loss: 0.811, train acc: 78.364 test acc: 65.440 35.583 s [13] loss: 0.815, train acc: 78.298 test acc: 65.620 35.300 s [14] loss: 0.816, train acc: 78.394 test acc: 65.220 35.517 s [15] loss: 0.816, train acc: 78.532 test acc: 65.300 35.576 s [16] loss: 0.822, train acc: 78.208 test acc: 65.560 35.739 s [17] loss: 0.818, train acc: 78.360 test acc: 65.540 35.588 s [18] loss: 0.818, train acc: 78.272 test acc: 65.470 35.570 s [19] loss: 0.825, train acc: 78.206 test acc: 65.430 35.458 s [20] loss: 0.822, train acc: 78.314 test acc: 65.050 35.639 s [21] loss: 0.825, train acc: 78.434 test acc: 65.370 35.697 s [22] loss: 0.829, train acc: 77.912 test acc: 65.330 36.683 s [23] loss: 0.828, train acc: 78.200 test acc: 65.440 35.418 s [24] loss: 0.834, train acc: 77.840 test acc: 65.610 35.515 s [25] loss: 0.834, train acc: 77.898 test acc: 65.520 35.677 s [26] loss: 0.828, train acc: 78.186 test acc: 65.460 35.573 s [27] loss: 0.828, train acc: 78.052 test acc: 65.420 35.679 s [28] loss: 0.823, train acc: 78.238 test acc: 65.020 35.825 s [29] loss: 0.831, train acc: 77.982 test acc: 65.420 35.424 s [30] loss: 0.831, train acc: 78.170 test acc: 65.270 35.645 s [1] loss: 0.754, train acc: 79.574 test acc: 66.150 32.233 s [2] loss: 0.743, train acc: 79.626 test acc: 66.320 32.257 s [3] loss: 0.744, train acc: 79.710 test acc: 66.220 32.426 s [4] loss: 0.748, train acc: 79.678 test acc: 66.110 32.308 s [5] loss: 0.750, train acc: 79.698 test acc: 66.090 32.095 s [6] loss: 0.755, train acc: 79.440 test acc: 65.860 32.188 s [7] loss: 0.760, train acc: 79.440 test acc: 66.310 32.288 s [8] loss: 0.760, train acc: 79.436 test acc: 65.860 32.226 s [9] loss: 0.753, train acc: 79.644 test acc: 65.950 32.925 s [10] loss: 0.763, train acc: 79.408 test acc: 65.660 32.154 s [11] loss: 0.759, train acc: 79.520 test acc: 65.700 32.713 s [12] loss: 0.763, train acc: 79.490 test acc: 66.000 32.120 s [13] loss: 0.766, train acc: 79.280 test acc: 66.070 32.380 s [14] loss: 0.765, train acc: 79.332 test acc: 66.010 32.418 s [15] loss: 0.761, train acc: 79.430 test acc: 65.770 32.347 s [16] loss: 0.764, train acc: 79.474 test acc: 65.470 32.297 s [17] loss: 0.772, train acc: 79.088 test acc: 65.680 32.264 s [18] loss: 0.764, train acc: 79.534 test acc: 66.080 32.229 s [19] loss: 0.767, train acc: 79.186 test acc: 66.200 32.276 s [20] loss: 0.765, train acc: 79.376 test acc: 66.080 32.139 s [21] loss: 0.768, train acc: 79.394 test acc: 66.110 32.186 s [22] loss: 0.766, train acc: 79.308 test acc: 65.880 32.264 s [23] loss: 0.767, train acc: 79.478 test acc: 65.840 32.358 s [24] loss: 0.768, train acc: 79.316 test acc: 65.840 32.280 s [25] loss: 0.773, train acc: 79.332 test acc: 65.940 32.300 s [26] loss: 0.766, train acc: 79.310 test acc: 65.870 32.399 s [27] loss: 0.771, train acc: 79.364 test acc: 65.940 32.203 s [28] loss: 0.779, train acc: 79.210 test acc: 66.180 32.518 s [29] loss: 0.778, train acc: 79.106 test acc: 65.540 32.162 s [30] loss: 0.775, train acc: 79.248 test acc: 65.610 32.509 s [1] loss: 0.733, train acc: 80.016 test acc: 66.100 30.917 s [2] loss: 0.732, train acc: 79.684 test acc: 66.090 30.825 s [3] loss: 0.728, train acc: 79.698 test acc: 65.990 30.875 s [4] loss: 0.731, train acc: 79.672 test acc: 66.300 30.811 s [5] loss: 0.729, train acc: 79.858 test acc: 66.060 30.889 s [6] loss: 0.729, train acc: 79.806 test acc: 66.100 30.695 s [7] loss: 0.734, train acc: 79.618 test acc: 66.130 30.950 s [8] loss: 0.733, train acc: 79.768 test acc: 66.260 30.881 s [9] loss: 0.732, train acc: 79.646 test acc: 65.980 30.803 s [10] loss: 0.732, train acc: 79.718 test acc: 66.160 30.695 s [11] loss: 0.733, train acc: 79.686 test acc: 66.060 31.036 s [12] loss: 0.737, train acc: 79.540 test acc: 65.680 30.954 s [13] loss: 0.736, train acc: 79.732 test acc: 66.130 30.736 s [14] loss: 0.740, train acc: 79.572 test acc: 66.380 30.865 s [15] loss: 0.736, train acc: 79.762 test acc: 66.140 30.722 s [16] loss: 0.742, train acc: 79.564 test acc: 66.120 30.700 s [17] loss: 0.740, train acc: 79.848 test acc: 65.840 30.613 s [18] loss: 0.742, train acc: 79.628 test acc: 66.380 30.650 s [19] loss: 0.738, train acc: 79.820 test acc: 66.070 30.728 s [20] loss: 0.742, train acc: 79.568 test acc: 66.100 30.627 s [21] loss: 0.737, train acc: 79.682 test acc: 66.240 30.681 s [22] loss: 0.739, train acc: 79.440 test acc: 66.100 30.602 s [23] loss: 0.742, train acc: 79.516 test acc: 65.980 30.535 s [24] loss: 0.741, train acc: 79.810 test acc: 66.150 30.661 s [25] loss: 0.743, train acc: 79.718 test acc: 65.960 30.513 s [26] loss: 0.747, train acc: 79.568 test acc: 66.170 30.613 s [27] loss: 0.744, train acc: 79.486 test acc: 66.180 31.912 s [28] loss: 0.741, train acc: 79.536 test acc: 66.100 30.530 s [29] loss: 0.747, train acc: 79.442 test acc: 66.090 30.597 s [30] loss: 0.738, train acc: 79.504 test acc: 65.950 30.758 s [1] loss: 0.734, train acc: 79.672 test acc: 66.050 30.350 s [2] loss: 0.727, train acc: 79.668 test acc: 66.320 30.077 s [3] loss: 0.727, train acc: 79.856 test acc: 66.120 29.967 s [4] loss: 0.724, train acc: 79.666 test acc: 65.900 30.127 s [5] loss: 0.724, train acc: 79.758 test acc: 66.020 30.119 s [6] loss: 0.725, train acc: 79.922 test acc: 66.220 30.508 s [7] loss: 0.730, train acc: 79.542 test acc: 65.890 30.209 s [8] loss: 0.730, train acc: 79.550 test acc: 66.230 30.232 s [9] loss: 0.729, train acc: 79.568 test acc: 66.280 30.226 s [10] loss: 0.728, train acc: 79.712 test acc: 66.210 30.135 s [11] loss: 0.728, train acc: 79.866 test acc: 66.080 30.183 s [12] loss: 0.725, train acc: 79.820 test acc: 66.290 30.045 s [13] loss: 0.731, train acc: 79.744 test acc: 65.780 30.215 s [14] loss: 0.724, train acc: 79.716 test acc: 66.180 30.102 s [15] loss: 0.728, train acc: 79.668 test acc: 65.990 30.320 s [16] loss: 0.728, train acc: 79.740 test acc: 66.110 30.173 s [17] loss: 0.727, train acc: 79.818 test acc: 66.100 30.143 s [18] loss: 0.731, train acc: 79.634 test acc: 66.270 30.248 s [19] loss: 0.733, train acc: 79.698 test acc: 66.230 30.293 s [20] loss: 0.731, train acc: 79.614 test acc: 66.110 30.266 s [21] loss: 0.728, train acc: 79.788 test acc: 66.240 30.304 s [22] loss: 0.730, train acc: 79.790 test acc: 66.340 30.283 s [23] loss: 0.732, train acc: 79.710 test acc: 66.220 30.085 s [24] loss: 0.732, train acc: 79.702 test acc: 66.320 30.323 s [25] loss: 0.725, train acc: 79.978 test acc: 66.370 30.132 s [26] loss: 0.728, train acc: 79.832 test acc: 65.880 30.213 s [27] loss: 0.737, train acc: 79.606 test acc: 65.910 30.210 s [28] loss: 0.727, train acc: 79.790 test acc: 66.360 30.420 s [29] loss: 0.733, train acc: 79.830 test acc: 66.100 30.249 s [30] loss: 0.735, train acc: 79.526 test acc: 66.300 30.141 s