checkpoints/shallow008_naslarge_2b8b_noSAM/train_log.txt

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