checkpoints/shallow012_naslarge_AP2b8b_wSAM/train_log.txt

[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