[1] loss: 3.777, train acc: 11.234 test acc: 19.550 37.497 s [2] loss: 2.968, train acc: 25.312 test acc: 30.390 28.272 s [3] loss: 2.494, train acc: 34.780 test acc: 37.540 28.255 s [4] loss: 2.200, train acc: 41.278 test acc: 42.710 28.307 s [5] loss: 1.999, train acc: 45.774 test acc: 46.540 28.373 s [6] loss: 1.839, train acc: 49.500 test acc: 47.200 28.350 s [7] loss: 1.734, train acc: 51.982 test acc: 49.930 28.433 s [8] loss: 1.629, train acc: 54.602 test acc: 51.280 28.296 s [9] loss: 1.559, train acc: 56.238 test acc: 53.130 28.346 s [10] loss: 1.490, train acc: 57.902 test acc: 54.150 28.371 s [11] loss: 1.426, train acc: 59.552 test acc: 53.460 28.275 s [12] loss: 1.382, train acc: 60.584 test acc: 55.250 28.278 s [13] loss: 1.330, train acc: 62.006 test acc: 56.610 28.432 s [14] loss: 1.289, train acc: 63.076 test acc: 56.050 28.280 s [15] loss: 1.250, train acc: 63.870 test acc: 57.640 28.324 s [16] loss: 1.216, train acc: 64.494 test acc: 57.580 28.337 s [17] loss: 1.178, train acc: 65.858 test acc: 57.460 28.283 s [18] loss: 1.148, train acc: 66.530 test acc: 58.470 28.335 s [19] loss: 1.115, train acc: 67.348 test acc: 59.130 28.299 s [20] loss: 1.091, train acc: 67.906 test acc: 59.530 28.283 s [21] loss: 1.069, train acc: 68.766 test acc: 59.780 28.296 s [22] loss: 1.045, train acc: 69.270 test acc: 59.790 28.372 s [23] loss: 1.022, train acc: 69.776 test acc: 59.750 28.301 s [24] loss: 0.996, train acc: 70.604 test acc: 60.050 28.314 s [25] loss: 0.980, train acc: 70.830 test acc: 61.030 28.359 s [26] loss: 0.956, train acc: 71.428 test acc: 60.880 28.338 s [27] loss: 0.943, train acc: 71.912 test acc: 60.070 28.364 s [28] loss: 0.923, train acc: 72.374 test acc: 61.000 28.291 s [29] loss: 0.899, train acc: 72.952 test acc: 61.220 28.305 s [30] loss: 0.884, train acc: 73.616 test acc: 61.320 28.400 s [31] loss: 0.867, train acc: 73.976 test acc: 61.310 28.349 s [32] loss: 0.845, train acc: 74.634 test acc: 61.290 28.398 s [33] loss: 0.842, train acc: 74.546 test acc: 62.100 28.456 s [34] loss: 0.820, train acc: 75.276 test acc: 61.600 28.408 s [35] loss: 0.808, train acc: 75.668 test acc: 62.310 28.364 s [36] loss: 0.800, train acc: 76.000 test acc: 61.840 28.392 s [37] loss: 0.779, train acc: 76.380 test acc: 62.500 28.271 s [38] loss: 0.765, train acc: 76.822 test acc: 62.240 28.351 s [39] loss: 0.759, train acc: 76.866 test acc: 62.040 28.452 s [40] loss: 0.749, train acc: 77.172 test acc: 61.560 28.334 s [41] loss: 0.728, train acc: 77.920 test acc: 62.710 28.275 s [42] loss: 0.720, train acc: 78.062 test acc: 62.030 28.270 s [43] loss: 0.707, train acc: 78.506 test acc: 62.810 28.368 s [44] loss: 0.695, train acc: 78.722 test acc: 62.740 28.426 s [45] loss: 0.687, train acc: 78.998 test acc: 62.500 28.403 s [46] loss: 0.678, train acc: 79.176 test acc: 63.100 28.410 s [47] loss: 0.661, train acc: 79.612 test acc: 62.590 28.377 s [48] loss: 0.660, train acc: 79.530 test acc: 62.540 28.332 s [49] loss: 0.648, train acc: 79.898 test acc: 63.290 28.289 s [50] loss: 0.637, train acc: 80.292 test acc: 63.210 28.342 s [51] loss: 0.634, train acc: 80.436 test acc: 62.670 28.495 s [52] loss: 0.616, train acc: 80.872 test acc: 62.190 28.475 s [53] loss: 0.614, train acc: 81.020 test acc: 62.440 28.389 s [54] loss: 0.603, train acc: 81.384 test acc: 62.600 28.311 s [55] loss: 0.596, train acc: 81.492 test acc: 63.080 28.348 s [56] loss: 0.587, train acc: 81.882 test acc: 62.600 28.377 s [57] loss: 0.578, train acc: 82.094 test acc: 63.450 28.372 s [58] loss: 0.571, train acc: 82.314 test acc: 63.110 28.443 s [59] loss: 0.566, train acc: 82.330 test acc: 63.420 28.360 s [60] loss: 0.555, train acc: 82.602 test acc: 62.410 28.370 s [61] loss: 0.549, train acc: 82.994 test acc: 62.600 28.355 s [62] loss: 0.544, train acc: 82.782 test acc: 63.360 28.355 s [63] loss: 0.534, train acc: 83.270 test acc: 63.130 28.338 s [64] loss: 0.527, train acc: 83.584 test acc: 63.340 28.417 s [65] loss: 0.524, train acc: 83.534 test acc: 62.850 28.455 s [66] loss: 0.514, train acc: 83.998 test acc: 63.120 28.328 s [67] loss: 0.506, train acc: 84.336 test acc: 62.820 28.337 s [68] loss: 0.503, train acc: 84.240 test acc: 62.930 28.366 s [69] loss: 0.495, train acc: 84.420 test acc: 63.060 28.287 s [70] loss: 0.497, train acc: 84.240 test acc: 63.160 28.329 s [71] loss: 0.489, train acc: 84.616 test acc: 63.360 28.556 s [72] loss: 0.473, train acc: 85.292 test acc: 62.980 28.413 s [73] loss: 0.470, train acc: 85.118 test acc: 62.730 28.358 s [74] loss: 0.470, train acc: 85.054 test acc: 62.650 28.349 s [75] loss: 0.464, train acc: 85.180 test acc: 63.040 28.322 s [76] loss: 0.455, train acc: 85.570 test acc: 63.460 28.309 s [77] loss: 0.452, train acc: 85.598 test acc: 62.880 28.351 s [78] loss: 0.441, train acc: 86.066 test acc: 63.260 28.294 s [79] loss: 0.441, train acc: 86.012 test acc: 63.350 28.294 s [80] loss: 0.436, train acc: 86.244 test acc: 62.730 28.340 s [81] loss: 0.439, train acc: 86.014 test acc: 63.110 28.247 s [82] loss: 0.428, train acc: 86.386 test acc: 62.940 28.386 s [83] loss: 0.422, train acc: 86.682 test acc: 63.140 28.421 s [84] loss: 0.421, train acc: 86.920 test acc: 63.270 28.274 s [85] loss: 0.411, train acc: 86.916 test acc: 62.950 28.364 s [86] loss: 0.410, train acc: 87.028 test acc: 63.220 28.405 s [87] loss: 0.405, train acc: 87.088 test acc: 62.520 28.432 s [88] loss: 0.399, train acc: 87.214 test acc: 63.100 28.378 s [89] loss: 0.400, train acc: 87.264 test acc: 62.960 28.349 s [90] loss: 0.392, train acc: 87.506 test acc: 62.830 28.450 s [91] loss: 0.385, train acc: 87.726 test acc: 62.290 28.371 s [92] loss: 0.381, train acc: 87.850 test acc: 63.060 28.380 s [93] loss: 0.384, train acc: 87.694 test acc: 62.940 28.339 s [94] loss: 0.377, train acc: 87.814 test acc: 62.660 28.321 s [95] loss: 0.377, train acc: 87.986 test acc: 62.520 28.385 s [96] loss: 0.370, train acc: 88.156 test acc: 63.460 28.450 s [97] loss: 0.368, train acc: 88.260 test acc: 63.180 28.332 s [98] loss: 0.363, train acc: 88.416 test acc: 62.610 28.292 s [99] loss: 0.358, train acc: 88.514 test acc: 63.320 28.331 s [100] loss: 0.347, train acc: 88.900 test acc: 62.710 28.367 s [1] loss: 0.274, train acc: 91.696 test acc: 64.120 28.370 s [2] loss: 0.249, train acc: 92.526 test acc: 64.910 28.331 s [3] loss: 0.243, train acc: 92.834 test acc: 64.760 28.305 s [4] loss: 0.234, train acc: 93.256 test acc: 64.470 28.372 s [5] loss: 0.226, train acc: 93.636 test acc: 64.880 28.447 s [6] loss: 0.228, train acc: 93.342 test acc: 64.900 28.320 s [7] loss: 0.222, train acc: 93.530 test acc: 64.450 28.337 s [8] loss: 0.218, train acc: 93.834 test acc: 64.490 28.353 s [9] loss: 0.215, train acc: 93.892 test acc: 64.310 28.390 s [10] loss: 0.217, train acc: 93.848 test acc: 64.720 28.336 s [1] loss: 0.198, train acc: 94.454 test acc: 64.870 28.330 s [2] loss: 0.189, train acc: 94.754 test acc: 64.820 28.328 s [3] loss: 0.193, train acc: 94.826 test acc: 64.760 28.275 s [4] loss: 0.188, train acc: 94.944 test acc: 64.960 28.444 s [5] loss: 0.185, train acc: 94.978 test acc: 64.610 28.398 s [6] loss: 0.186, train acc: 94.940 test acc: 64.740 28.407 s [7] loss: 0.184, train acc: 95.034 test acc: 64.900 28.339 s [8] loss: 0.183, train acc: 94.926 test acc: 64.950 28.326 s [9] loss: 0.183, train acc: 95.058 test acc: 64.590 28.311 s [10] loss: 0.183, train acc: 95.000 test acc: 64.750 28.309 s [11] loss: 0.180, train acc: 95.060 test acc: 64.890 28.476 s [12] loss: 0.178, train acc: 95.248 test acc: 64.860 28.314 s [13] loss: 0.177, train acc: 95.222 test acc: 64.740 28.290 s [14] loss: 0.179, train acc: 95.276 test acc: 64.880 28.319 s [15] loss: 0.177, train acc: 95.290 test acc: 64.850 28.378 s [16] loss: 0.178, train acc: 95.226 test acc: 64.590 28.354 s [17] loss: 0.174, train acc: 95.390 test acc: 65.000 28.352 s [18] loss: 0.177, train acc: 95.096 test acc: 64.830 28.467 s [19] loss: 0.179, train acc: 95.138 test acc: 64.670 28.349 s [20] loss: 0.170, train acc: 95.496 test acc: 64.360 28.363 s [21] loss: 0.170, train acc: 95.546 test acc: 64.690 28.387 s [22] loss: 0.173, train acc: 95.460 test acc: 64.550 28.358 s [23] loss: 0.172, train acc: 95.410 test acc: 64.750 28.216 s [24] loss: 0.171, train acc: 95.382 test acc: 65.070 28.489 s [25] loss: 0.171, train acc: 95.288 test acc: 64.700 28.361 s [26] loss: 0.169, train acc: 95.568 test acc: 64.750 28.405 s [27] loss: 0.172, train acc: 95.360 test acc: 64.510 28.378 s [28] loss: 0.169, train acc: 95.556 test acc: 64.750 28.394 s [29] loss: 0.169, train acc: 95.446 test acc: 64.790 28.409 s [30] loss: 0.169, train acc: 95.390 test acc: 64.920 28.380 s [1] loss: 0.165, train acc: 95.640 test acc: 65.010 28.381 s [2] loss: 0.163, train acc: 95.672 test acc: 65.000 28.351 s [3] loss: 0.164, train acc: 95.702 test acc: 64.960 28.409 s [4] loss: 0.164, train acc: 95.590 test acc: 64.830 28.258 s [5] loss: 0.161, train acc: 95.778 test acc: 64.970 28.316 s [6] loss: 0.159, train acc: 95.850 test acc: 64.960 28.382 s [7] loss: 0.162, train acc: 95.686 test acc: 64.880 28.435 s [8] loss: 0.159, train acc: 95.984 test acc: 64.940 28.391 s [9] loss: 0.161, train acc: 95.714 test acc: 65.030 28.344 s [10] loss: 0.161, train acc: 95.792 test acc: 64.970 28.321 s [11] loss: 0.158, train acc: 95.940 test acc: 64.930 28.341 s [12] loss: 0.158, train acc: 95.886 test acc: 65.030 28.435 s [13] loss: 0.160, train acc: 95.918 test acc: 64.950 28.452 s [14] loss: 0.163, train acc: 95.712 test acc: 64.900 28.215 s [15] loss: 0.159, train acc: 95.838 test acc: 64.840 28.125 s [16] loss: 0.161, train acc: 95.648 test acc: 64.900 28.116 s [17] loss: 0.159, train acc: 95.780 test acc: 64.830 28.153 s [18] loss: 0.163, train acc: 95.780 test acc: 64.680 28.172 s [19] loss: 0.160, train acc: 95.774 test acc: 65.000 28.196 s [20] loss: 0.159, train acc: 95.892 test acc: 64.900 28.187 s [21] loss: 0.160, train acc: 95.778 test acc: 64.970 28.193 s [22] loss: 0.156, train acc: 96.052 test acc: 64.960 28.030 s [23] loss: 0.159, train acc: 95.762 test acc: 65.050 28.132 s [24] loss: 0.158, train acc: 95.892 test acc: 65.020 28.100 s [25] loss: 0.157, train acc: 95.924 test acc: 64.930 28.104 s [26] loss: 0.157, train acc: 95.884 test acc: 64.850 28.148 s [27] loss: 0.160, train acc: 95.820 test acc: 64.870 28.220 s [28] loss: 0.157, train acc: 95.904 test acc: 64.830 28.158 s [29] loss: 0.156, train acc: 95.968 test acc: 64.760 28.156 s [30] loss: 0.158, train acc: 95.832 test acc: 64.730 28.133 s [31] loss: 0.159, train acc: 95.800 test acc: 64.810 28.175 s [32] loss: 0.156, train acc: 95.850 test acc: 64.850 28.251 s [33] loss: 0.158, train acc: 95.840 test acc: 64.820 28.152 s [34] loss: 0.158, train acc: 95.916 test acc: 64.800 28.069 s [35] loss: 0.157, train acc: 95.900 test acc: 64.780 28.093 s [36] loss: 0.157, train acc: 95.912 test acc: 64.790 28.170 s [37] loss: 0.155, train acc: 95.990 test acc: 64.780 28.147 s [38] loss: 0.157, train acc: 95.964 test acc: 64.860 28.116 s [39] loss: 0.155, train acc: 95.958 test acc: 64.920 28.149 s [40] loss: 0.153, train acc: 96.114 test acc: 64.820 28.165 s [41] loss: 0.155, train acc: 95.980 test acc: 64.780 28.030 s [42] loss: 0.155, train acc: 95.952 test acc: 64.810 28.107 s [43] loss: 0.154, train acc: 95.966 test acc: 64.850 28.118 s [44] loss: 0.154, train acc: 95.976 test acc: 64.830 28.157 s [45] loss: 0.155, train acc: 96.024 test acc: 64.750 28.295 s [46] loss: 0.156, train acc: 95.924 test acc: 64.840 28.173 s [47] loss: 0.152, train acc: 96.100 test acc: 64.830 28.173 s [48] loss: 0.156, train acc: 95.838 test acc: 64.750 28.185 s [49] loss: 0.155, train acc: 95.994 test acc: 64.700 28.128 s [50] loss: 0.155, train acc: 95.978 test acc: 64.800 28.101 s [1] loss: 4.439, train acc: 4.932 test acc: 8.870 51.360 s [2] loss: 3.859, train acc: 10.376 test acc: 12.440 52.588 s [3] loss: 3.644, train acc: 13.520 test acc: 15.310 51.319 s [4] loss: 3.486, train acc: 16.078 test acc: 19.010 50.775 s [5] loss: 3.317, train acc: 19.174 test acc: 21.000 51.248 s [6] loss: 3.152, train acc: 21.796 test acc: 24.410 51.229 s [7] loss: 2.986, train acc: 24.618 test acc: 27.680 50.793 s [8] loss: 2.884, train acc: 26.718 test acc: 29.150 51.605 s [9] loss: 2.783, train acc: 28.992 test acc: 30.710 51.619 s [10] loss: 2.673, train acc: 31.070 test acc: 33.000 51.464 s [11] loss: 2.570, train acc: 33.028 test acc: 34.490 51.683 s [12] loss: 2.486, train acc: 35.006 test acc: 35.740 51.633 s [13] loss: 2.415, train acc: 36.586 test acc: 37.300 51.499 s [14] loss: 2.329, train acc: 38.094 test acc: 38.960 51.113 s [15] loss: 2.260, train acc: 39.896 test acc: 40.580 51.269 s [16] loss: 2.193, train acc: 41.190 test acc: 41.040 50.374 s [17] loss: 2.131, train acc: 42.880 test acc: 42.370 51.319 s [18] loss: 2.074, train acc: 44.034 test acc: 42.560 51.711 s [19] loss: 2.028, train acc: 45.074 test acc: 44.350 51.415 s [20] loss: 1.971, train acc: 46.780 test acc: 45.270 50.992 s [21] loss: 1.921, train acc: 47.760 test acc: 46.080 51.910 s [22] loss: 1.881, train acc: 48.700 test acc: 46.460 51.337 s [23] loss: 1.837, train acc: 49.608 test acc: 47.740 50.579 s [24] loss: 1.795, train acc: 50.674 test acc: 48.550 50.740 s [25] loss: 1.767, train acc: 51.404 test acc: 48.230 50.506 s [26] loss: 1.732, train acc: 52.338 test acc: 49.410 51.329 s [27] loss: 1.704, train acc: 52.904 test acc: 49.640 50.386 s [28] loss: 1.670, train acc: 53.878 test acc: 50.690 50.979 s [29] loss: 1.646, train acc: 54.396 test acc: 50.500 50.621 s [30] loss: 1.624, train acc: 54.770 test acc: 51.160 51.558 s [31] loss: 1.603, train acc: 55.828 test acc: 51.540 50.957 s [32] loss: 1.589, train acc: 55.810 test acc: 51.750 51.436 s [33] loss: 1.563, train acc: 56.600 test acc: 51.840 50.552 s [34] loss: 1.547, train acc: 56.832 test acc: 52.390 51.087 s [35] loss: 1.524, train acc: 57.612 test acc: 52.140 50.145 s [36] loss: 1.512, train acc: 57.860 test acc: 51.940 50.726 s [37] loss: 1.506, train acc: 58.118 test acc: 53.110 51.175 s [38] loss: 1.482, train acc: 58.888 test acc: 53.360 50.837 s [39] loss: 1.475, train acc: 58.814 test acc: 53.360 51.277 s [40] loss: 1.450, train acc: 59.666 test acc: 53.660 51.893 s [41] loss: 1.448, train acc: 59.658 test acc: 53.690 51.493 s [42] loss: 1.430, train acc: 60.090 test acc: 53.770 50.988 s [43] loss: 1.422, train acc: 60.270 test acc: 54.300 50.975 s [44] loss: 1.405, train acc: 60.772 test acc: 54.330 51.894 s [45] loss: 1.388, train acc: 61.292 test acc: 54.960 51.387 s [46] loss: 1.378, train acc: 61.524 test acc: 54.980 51.073 s [47] loss: 1.377, train acc: 61.426 test acc: 55.440 51.099 s [48] loss: 1.362, train acc: 61.798 test acc: 55.410 51.389 s [49] loss: 1.354, train acc: 62.300 test acc: 55.830 51.176 s [50] loss: 1.364, train acc: 62.134 test acc: 55.330 50.898 s [51] loss: 1.348, train acc: 62.430 test acc: 56.350 50.688 s [52] loss: 1.337, train acc: 62.736 test acc: 56.000 51.724 s [53] loss: 1.333, train acc: 62.842 test acc: 56.630 51.242 s [54] loss: 1.326, train acc: 63.176 test acc: 56.410 50.658 s [55] loss: 1.321, train acc: 63.376 test acc: 56.920 51.349 s [56] loss: 1.316, train acc: 63.550 test acc: 56.450 50.391 s [57] loss: 1.305, train acc: 63.726 test acc: 56.650 51.401 s [58] loss: 1.292, train acc: 64.114 test acc: 57.000 50.782 s [59] loss: 1.291, train acc: 64.438 test acc: 57.000 51.365 s [60] loss: 1.283, train acc: 64.414 test acc: 57.350 51.219 s [61] loss: 1.286, train acc: 64.296 test acc: 57.250 51.540 s [62] loss: 1.282, train acc: 64.614 test acc: 57.340 50.983 s [63] loss: 1.275, train acc: 64.812 test acc: 57.670 50.977 s [64] loss: 1.274, train acc: 64.910 test acc: 57.710 50.763 s [65] loss: 1.270, train acc: 64.806 test acc: 58.310 51.906 s [66] loss: 1.270, train acc: 64.906 test acc: 57.740 51.682 s [67] loss: 1.265, train acc: 65.212 test acc: 58.250 51.591 s [68] loss: 1.258, train acc: 65.128 test acc: 56.700 51.559 s [69] loss: 1.252, train acc: 65.618 test acc: 58.050 50.893 s [70] loss: 1.243, train acc: 65.616 test acc: 58.030 51.991 s [71] loss: 1.239, train acc: 66.088 test acc: 57.750 51.546 s [72] loss: 1.237, train acc: 65.940 test acc: 57.790 51.363 s [73] loss: 1.242, train acc: 65.766 test acc: 57.570 51.367 s [74] loss: 1.238, train acc: 65.946 test acc: 58.070 51.037 s [75] loss: 1.236, train acc: 66.316 test acc: 56.820 51.287 s [76] loss: 1.233, train acc: 66.284 test acc: 58.840 51.384 s [77] loss: 1.228, train acc: 66.172 test acc: 59.110 50.670 s [78] loss: 1.224, train acc: 66.596 test acc: 58.680 51.506 s [79] loss: 1.220, train acc: 66.342 test acc: 57.910 51.112 s [80] loss: 1.221, train acc: 66.776 test acc: 59.060 50.876 s [81] loss: 1.220, train acc: 66.752 test acc: 59.170 50.438 s [82] loss: 1.225, train acc: 66.516 test acc: 56.740 50.475 s [83] loss: 1.260, train acc: 65.206 test acc: 57.110 51.206 s [84] loss: 1.249, train acc: 65.462 test acc: 57.100 51.268 s [85] loss: 1.243, train acc: 65.490 test acc: 57.560 51.147 s [86] loss: 1.241, train acc: 65.908 test acc: 58.040 51.596 s [87] loss: 1.242, train acc: 65.536 test acc: 57.490 51.541 s [88] loss: 1.233, train acc: 65.850 test acc: 57.400 51.410 s [89] loss: 1.239, train acc: 65.874 test acc: 56.990 50.967 s [90] loss: 1.243, train acc: 65.742 test acc: 58.550 51.617 s [91] loss: 1.237, train acc: 65.804 test acc: 58.350 51.103 s [92] loss: 1.234, train acc: 66.160 test acc: 57.580 51.864 s [93] loss: 1.229, train acc: 66.258 test acc: 58.080 51.538 s [94] loss: 1.229, train acc: 66.070 test acc: 58.380 50.878 s [95] loss: 1.234, train acc: 66.112 test acc: 57.990 51.003 s [96] loss: 1.235, train acc: 66.072 test acc: 57.950 50.925 s [97] loss: 1.235, train acc: 66.282 test acc: 58.880 50.555 s [98] loss: 1.225, train acc: 66.504 test acc: 58.390 51.036 s [99] loss: 1.221, train acc: 66.584 test acc: 58.680 51.015 s [100] loss: 1.229, train acc: 66.368 test acc: 58.560 51.669 s [1] loss: 1.208, train acc: 67.592 test acc: 57.540 51.122 s [2] loss: 1.238, train acc: 66.336 test acc: 57.560 51.424 s [3] loss: 1.249, train acc: 65.914 test acc: 57.450 51.370 s [4] loss: 1.245, train acc: 65.962 test acc: 58.390 51.257 s [5] loss: 1.251, train acc: 66.114 test acc: 57.510 51.487 s [6] loss: 1.258, train acc: 65.772 test acc: 57.920 51.970 s [7] loss: 1.257, train acc: 66.102 test acc: 58.020 51.248 s [8] loss: 1.260, train acc: 65.786 test acc: 57.900 50.881 s [9] loss: 1.258, train acc: 65.930 test acc: 57.690 51.151 s [10] loss: 1.256, train acc: 66.182 test acc: 58.430 50.854 s [11] loss: 1.260, train acc: 65.616 test acc: 58.320 51.681 s [12] loss: 1.259, train acc: 66.118 test acc: 57.850 51.395 s [13] loss: 1.264, train acc: 65.860 test acc: 58.820 51.747 s [14] loss: 1.255, train acc: 65.888 test acc: 58.000 51.003 s [15] loss: 1.252, train acc: 66.336 test acc: 58.020 50.659 s [16] loss: 1.264, train acc: 65.834 test acc: 58.780 51.430 s [17] loss: 1.259, train acc: 66.054 test acc: 58.220 51.281 s [18] loss: 1.258, train acc: 66.220 test acc: 58.420 51.714 s [19] loss: 1.253, train acc: 66.356 test acc: 58.090 51.017 s [20] loss: 1.260, train acc: 66.046 test acc: 58.390 52.186 s [21] loss: 1.262, train acc: 66.074 test acc: 58.320 52.246 s [22] loss: 1.258, train acc: 66.158 test acc: 58.180 51.861 s [23] loss: 1.257, train acc: 66.014 test acc: 57.910 52.637 s [24] loss: 1.255, train acc: 66.384 test acc: 58.410 52.714 s [25] loss: 1.253, train acc: 66.316 test acc: 57.760 52.553 s [26] loss: 1.269, train acc: 65.826 test acc: 58.430 53.547 s [27] loss: 1.253, train acc: 66.424 test acc: 57.680 53.264 s [28] loss: 1.256, train acc: 66.230 test acc: 58.110 52.703 s [29] loss: 1.269, train acc: 66.054 test acc: 58.680 52.384 s [30] loss: 1.264, train acc: 65.926 test acc: 58.620 52.402 s [1] loss: 1.156, train acc: 67.784 test acc: 59.900 41.089 s [2] loss: 1.152, train acc: 68.306 test acc: 60.480 41.020 s [3] loss: 1.174, train acc: 67.414 test acc: 58.140 40.703 s [4] loss: 1.197, train acc: 66.714 test acc: 57.650 40.630 s [5] loss: 1.187, train acc: 67.014 test acc: 57.650 40.719 s [6] loss: 1.194, train acc: 66.808 test acc: 58.560 40.971 s [7] loss: 1.196, train acc: 66.874 test acc: 58.380 40.844 s [8] loss: 1.198, train acc: 66.710 test acc: 58.540 40.933 s [9] loss: 1.205, train acc: 66.668 test acc: 58.230 40.368 s [10] loss: 1.207, train acc: 66.776 test acc: 58.470 40.966 s [11] loss: 1.204, train acc: 66.680 test acc: 58.410 40.765 s [12] loss: 1.209, train acc: 66.652 test acc: 58.660 40.988 s [13] loss: 1.203, train acc: 66.898 test acc: 58.730 40.789 s [14] loss: 1.198, train acc: 66.904 test acc: 58.420 40.309 s [15] loss: 1.202, train acc: 66.962 test acc: 58.520 40.683 s [16] loss: 1.201, train acc: 66.896 test acc: 58.360 40.977 s [17] loss: 1.204, train acc: 66.948 test acc: 57.900 40.513 s [18] loss: 1.201, train acc: 66.974 test acc: 58.400 40.704 s [19] loss: 1.207, train acc: 66.836 test acc: 57.870 40.520 s [20] loss: 1.207, train acc: 66.860 test acc: 58.060 41.006 s [21] loss: 1.205, train acc: 66.760 test acc: 58.470 40.918 s [22] loss: 1.202, train acc: 66.878 test acc: 58.300 40.975 s [23] loss: 1.207, train acc: 66.738 test acc: 58.670 40.573 s [24] loss: 1.207, train acc: 66.704 test acc: 58.100 40.545 s [25] loss: 1.205, train acc: 66.690 test acc: 58.210 40.290 s [26] loss: 1.201, train acc: 67.166 test acc: 58.660 40.500 s [27] loss: 1.204, train acc: 66.894 test acc: 58.070 40.686 s [28] loss: 1.207, train acc: 66.728 test acc: 58.320 40.761 s [29] loss: 1.202, train acc: 67.046 test acc: 58.780 40.594 s [30] loss: 1.205, train acc: 66.760 test acc: 58.350 40.566 s [1] loss: 1.122, train acc: 68.970 test acc: 57.490 35.891 s [2] loss: 1.179, train acc: 67.144 test acc: 58.400 35.944 s [3] loss: 1.171, train acc: 67.340 test acc: 58.430 36.373 s [4] loss: 1.165, train acc: 67.566 test acc: 58.660 36.169 s [5] loss: 1.171, train acc: 67.356 test acc: 58.790 36.500 s [6] loss: 1.174, train acc: 67.078 test acc: 58.500 36.054 s [7] loss: 1.182, train acc: 67.342 test acc: 58.740 36.117 s [8] loss: 1.173, train acc: 67.352 test acc: 58.570 36.282 s [9] loss: 1.183, train acc: 67.262 test acc: 57.750 36.059 s [10] loss: 1.177, train acc: 67.314 test acc: 58.560 35.997 s [11] loss: 1.182, train acc: 67.440 test acc: 58.370 35.855 s [12] loss: 1.180, train acc: 67.106 test acc: 58.540 35.963 s [13] loss: 1.181, train acc: 67.394 test acc: 58.700 36.063 s [14] loss: 1.185, train acc: 67.098 test acc: 58.750 36.253 s [15] loss: 1.180, train acc: 67.224 test acc: 58.170 36.141 s [16] loss: 1.183, train acc: 67.314 test acc: 58.930 35.763 s [17] loss: 1.196, train acc: 67.000 test acc: 58.340 36.349 s [18] loss: 1.189, train acc: 66.948 test acc: 58.260 36.178 s [19] loss: 1.183, train acc: 67.146 test acc: 58.730 36.396 s [20] loss: 1.191, train acc: 67.110 test acc: 58.490 35.943 s [21] loss: 1.194, train acc: 67.090 test acc: 58.390 36.191 s [22] loss: 1.189, train acc: 67.052 test acc: 58.390 36.115 s [23] loss: 1.197, train acc: 67.292 test acc: 58.820 36.470 s [24] loss: 1.200, train acc: 66.770 test acc: 58.640 36.356 s [25] loss: 1.205, train acc: 66.920 test acc: 58.270 36.120 s [26] loss: 1.191, train acc: 67.160 test acc: 58.600 36.077 s [27] loss: 1.200, train acc: 66.724 test acc: 58.780 36.474 s [28] loss: 1.209, train acc: 66.762 test acc: 58.400 36.381 s [29] loss: 1.207, train acc: 67.078 test acc: 58.100 36.370 s [30] loss: 1.205, train acc: 66.738 test acc: 58.720 36.039 s [1] loss: 1.104, train acc: 69.220 test acc: 60.620 32.229 s [2] loss: 1.078, train acc: 69.546 test acc: 60.820 32.466 s [3] loss: 1.077, train acc: 69.666 test acc: 60.800 32.183 s [4] loss: 1.129, train acc: 67.806 test acc: 59.430 32.106 s [5] loss: 1.130, train acc: 67.550 test acc: 58.410 32.172 s [6] loss: 1.135, train acc: 67.580 test acc: 58.770 31.954 s [7] loss: 1.139, train acc: 67.722 test acc: 58.750 32.083 s [8] loss: 1.138, train acc: 67.766 test acc: 58.710 32.238 s [9] loss: 1.140, train acc: 67.956 test acc: 58.660 32.037 s [10] loss: 1.143, train acc: 67.778 test acc: 58.960 32.106 s [11] loss: 1.147, train acc: 67.938 test acc: 59.000 32.162 s [12] loss: 1.137, train acc: 68.208 test acc: 58.990 32.063 s [13] loss: 1.132, train acc: 67.854 test acc: 59.270 32.309 s [14] loss: 1.137, train acc: 67.948 test acc: 59.200 32.105 s [15] loss: 1.136, train acc: 68.134 test acc: 58.690 32.256 s [16] loss: 1.137, train acc: 68.028 test acc: 59.030 32.368 s [17] loss: 1.141, train acc: 67.948 test acc: 59.070 32.354 s [18] loss: 1.139, train acc: 68.114 test acc: 58.870 32.124 s [19] loss: 1.141, train acc: 68.108 test acc: 59.000 31.984 s [20] loss: 1.138, train acc: 68.114 test acc: 58.710 31.913 s [21] loss: 1.131, train acc: 68.094 test acc: 59.240 32.130 s [22] loss: 1.143, train acc: 67.992 test acc: 59.130 32.315 s [23] loss: 1.143, train acc: 68.122 test acc: 59.380 32.144 s [24] loss: 1.131, train acc: 68.260 test acc: 59.230 32.152 s [25] loss: 1.144, train acc: 68.146 test acc: 58.620 32.158 s [26] loss: 1.144, train acc: 68.150 test acc: 59.110 32.292 s [27] loss: 1.141, train acc: 68.194 test acc: 59.000 32.335 s [28] loss: 1.142, train acc: 68.272 test acc: 59.270 32.143 s [29] loss: 1.141, train acc: 68.022 test acc: 59.180 32.637 s [30] loss: 1.148, train acc: 68.100 test acc: 58.800 32.590 s [1] loss: 1.069, train acc: 69.652 test acc: 61.040 31.091 s [2] loss: 1.066, train acc: 69.760 test acc: 61.190 30.806 s [3] loss: 1.064, train acc: 69.780 test acc: 60.830 30.925 s [4] loss: 1.061, train acc: 69.804 test acc: 56.680 30.819 s [5] loss: 1.060, train acc: 69.902 test acc: 60.750 30.832 s [6] loss: 1.069, train acc: 69.482 test acc: 60.400 30.536 s [7] loss: 1.066, train acc: 69.804 test acc: 60.880 30.533 s [8] loss: 1.068, train acc: 69.694 test acc: 60.860 30.759 s [9] loss: 1.128, train acc: 67.598 test acc: 59.250 30.655 s [10] loss: 1.123, train acc: 67.994 test acc: 58.830 30.695 s [11] loss: 1.128, train acc: 67.724 test acc: 58.520 30.878 s [12] loss: 1.130, train acc: 67.880 test acc: 58.940 30.633 s [13] loss: 1.116, train acc: 68.232 test acc: 58.970 30.913 s [14] loss: 1.126, train acc: 67.876 test acc: 59.010 30.683 s [15] loss: 1.118, train acc: 68.092 test acc: 59.320 30.596 s [16] loss: 1.119, train acc: 68.258 test acc: 58.750 30.634 s [17] loss: 1.121, train acc: 68.078 test acc: 58.990 30.474 s [18] loss: 1.118, train acc: 67.998 test acc: 58.580 30.745 s [19] loss: 1.120, train acc: 68.230 test acc: 59.020 30.549 s [20] loss: 1.125, train acc: 68.150 test acc: 59.180 30.620 s [21] loss: 1.116, train acc: 68.556 test acc: 59.230 30.588 s [22] loss: 1.128, train acc: 68.206 test acc: 59.270 30.690 s [23] loss: 1.114, train acc: 68.400 test acc: 59.080 30.484 s [24] loss: 1.115, train acc: 68.386 test acc: 59.220 30.650 s [25] loss: 1.116, train acc: 68.278 test acc: 59.180 30.705 s [26] loss: 1.113, train acc: 68.340 test acc: 59.310 30.541 s [27] loss: 1.110, train acc: 68.408 test acc: 59.080 30.822 s [28] loss: 1.117, train acc: 68.230 test acc: 58.940 30.695 s [29] loss: 1.123, train acc: 68.348 test acc: 59.330 30.451 s [30] loss: 1.119, train acc: 68.130 test acc: 59.070 30.742 s [1] loss: 1.064, train acc: 69.906 test acc: 60.740 30.383 s [2] loss: 1.059, train acc: 69.596 test acc: 60.930 29.692 s [3] loss: 1.059, train acc: 69.732 test acc: 60.930 30.057 s [4] loss: 1.062, train acc: 69.754 test acc: 56.570 30.070 s [5] loss: 1.055, train acc: 69.988 test acc: 60.750 30.157 s [6] loss: 1.054, train acc: 69.978 test acc: 61.060 29.782 s [7] loss: 1.052, train acc: 70.070 test acc: 60.880 30.096 s [8] loss: 1.052, train acc: 69.860 test acc: 61.180 30.101 s [9] loss: 1.056, train acc: 69.924 test acc: 61.130 30.091 s [10] loss: 1.055, train acc: 69.840 test acc: 57.170 30.197 s [11] loss: 1.054, train acc: 70.000 test acc: 61.030 30.219 s [12] loss: 1.060, train acc: 69.890 test acc: 61.240 30.033 s [13] loss: 1.055, train acc: 69.974 test acc: 61.230 30.039 s [14] loss: 1.059, train acc: 69.712 test acc: 60.670 29.992 s [15] loss: 1.058, train acc: 69.906 test acc: 60.920 30.072 s [16] loss: 1.055, train acc: 69.826 test acc: 60.760 30.274 s [17] loss: 1.058, train acc: 70.082 test acc: 61.190 30.175 s [18] loss: 1.057, train acc: 69.782 test acc: 61.030 29.970 s [19] loss: 1.061, train acc: 70.000 test acc: 56.850 29.918 s [20] loss: 1.061, train acc: 69.826 test acc: 57.040 30.185 s [21] loss: 1.064, train acc: 69.746 test acc: 61.340 30.148 s [22] loss: 1.060, train acc: 69.766 test acc: 61.110 30.024 s [23] loss: 1.060, train acc: 69.886 test acc: 61.250 30.193 s [24] loss: 1.060, train acc: 70.114 test acc: 60.980 30.087 s [25] loss: 1.063, train acc: 69.768 test acc: 60.980 30.134 s [26] loss: 1.062, train acc: 69.958 test acc: 61.130 30.019 s [27] loss: 1.068, train acc: 69.764 test acc: 61.010 29.985 s [28] loss: 1.066, train acc: 69.914 test acc: 57.060 30.092 s [29] loss: 1.116, train acc: 67.912 test acc: 59.550 30.006 s [30] loss: 1.117, train acc: 67.828 test acc: 58.790 30.115 s