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nohup_backup.out
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nohup_backup.out
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=> using pre-trained model 'resnet18'
Epoch: [0][0/47] Time 47.810 (47.810) Data 3.960 (3.960) Loss 11.2745 (11.2745) Prec@1 0.000 (0.000) Prec@5 0.000 (0.000)
Epoch: [0][10/47] Time 40.118 (41.093) Data 0.003 (0.368) Loss 3.0411 (4.2003) Prec@1 23.438 (25.142) Prec@5 67.969 (59.482)
Epoch: [0][20/47] Time 45.707 (40.964) Data 0.020 (0.199) Loss 3.1949 (3.9143) Prec@1 8.984 (20.368) Prec@5 51.953 (57.515)
Epoch: [0][30/47] Time 39.921 (40.698) Data 0.003 (0.140) Loss 2.7544 (3.5636) Prec@1 17.969 (18.561) Prec@5 58.203 (57.006)
Epoch: [0][40/47] Time 38.776 (40.457) Data 0.002 (0.108) Loss 2.5558 (3.3027) Prec@1 21.094 (18.798) Prec@5 62.109 (58.089)
Test: [0/24] Time 23.212 (23.212) Loss 4.0828 (4.0828) Prec@1 5.469 (5.469) Prec@5 28.906 (28.906)
Test: [10/24] Time 14.519 (15.247) Loss 2.5773 (3.1872) Prec@1 58.594 (22.763) Prec@5 65.625 (50.994)
Test: [20/24] Time 13.504 (14.534) Loss 3.7299 (3.2679) Prec@1 11.719 (16.016) Prec@5 55.078 (58.259)
* Prec@1 14.621 Prec@5 58.079
Epoch: [1][0/47] Time 53.414 (53.414) Data 4.044 (4.044) Loss 2.3061 (2.3061) Prec@1 25.391 (25.391) Prec@5 69.141 (69.141)
Epoch: [1][10/47] Time 40.047 (41.508) Data 0.020 (0.376) Loss 1.9165 (2.1083) Prec@1 35.938 (30.611) Prec@5 77.734 (73.366)
Epoch: [1][20/47] Time 40.000 (40.800) Data 0.021 (0.204) Loss 2.0441 (2.0357) Prec@1 37.109 (33.222) Prec@5 79.297 (75.595)
Epoch: [1][30/47] Time 39.892 (40.559) Data 0.014 (0.143) Loss 1.9943 (1.9979) Prec@1 38.672 (34.728) Prec@5 77.734 (76.941)
Epoch: [1][40/47] Time 42.515 (40.688) Data 0.001 (0.110) Loss 1.7704 (1.9436) Prec@1 39.844 (37.128) Prec@5 85.156 (78.506)
Test: [0/24] Time 23.098 (23.098) Loss 1.3245 (1.3245) Prec@1 61.328 (61.328) Prec@5 85.156 (85.156)
Test: [10/24] Time 14.440 (15.283) Loss 1.3687 (1.3935) Prec@1 42.578 (56.001) Prec@5 96.094 (86.115)
Test: [20/24] Time 13.237 (14.550) Loss 2.1148 (1.6569) Prec@1 23.438 (45.275) Prec@5 83.203 (84.598)
* Prec@1 44.640 Prec@5 85.058
Epoch: [2][0/47] Time 47.626 (47.626) Data 3.930 (3.930) Loss 1.7030 (1.7030) Prec@1 41.797 (41.797) Prec@5 84.375 (84.375)
Epoch: [2][10/47] Time 40.176 (40.835) Data 0.004 (0.369) Loss 1.5398 (1.6551) Prec@1 50.000 (46.839) Prec@5 85.938 (84.588)
Epoch: [2][20/47] Time 40.074 (40.510) Data 0.004 (0.199) Loss 1.5877 (1.6339) Prec@1 49.609 (46.633) Prec@5 86.719 (84.896)
Epoch: [2][30/47] Time 40.205 (40.385) Data 0.014 (0.140) Loss 1.5092 (1.6267) Prec@1 46.094 (46.976) Prec@5 89.062 (85.194)
Epoch: [2][40/47] Time 44.813 (40.640) Data 0.003 (0.109) Loss 1.4588 (1.6147) Prec@1 55.078 (47.790) Prec@5 89.062 (85.461)
Test: [0/24] Time 23.274 (23.274) Loss 0.7335 (0.7335) Prec@1 77.734 (77.734) Prec@5 93.750 (93.750)
Test: [10/24] Time 14.526 (15.339) Loss 1.2874 (1.6131) Prec@1 60.938 (51.705) Prec@5 85.156 (80.575)
Test: [20/24] Time 13.223 (14.561) Loss 1.8759 (1.5487) Prec@1 25.391 (50.056) Prec@5 93.750 (86.607)
* Prec@1 50.599 Prec@5 87.337
Epoch: [3][0/47] Time 47.491 (47.491) Data 3.659 (3.659) Loss 1.4329 (1.4329) Prec@1 51.172 (51.172) Prec@5 86.328 (86.328)
Epoch: [3][10/47] Time 40.424 (40.883) Data 0.003 (0.347) Loss 1.5211 (1.4564) Prec@1 51.953 (53.161) Prec@5 85.938 (88.210)
Epoch: [3][20/47] Time 40.137 (40.554) Data 0.022 (0.189) Loss 1.4457 (1.4242) Prec@1 55.469 (55.134) Prec@5 87.891 (88.430)
Epoch: [3][30/47] Time 40.065 (40.432) Data 0.019 (0.133) Loss 1.3197 (1.4121) Prec@1 59.766 (55.456) Prec@5 91.406 (88.395)
Epoch: [3][40/47] Time 44.890 (40.747) Data 0.001 (0.102) Loss 1.3513 (1.3946) Prec@1 57.031 (55.802) Prec@5 88.672 (88.624)
Test: [0/24] Time 23.308 (23.308) Loss 0.8836 (0.8836) Prec@1 75.000 (75.000) Prec@5 89.844 (89.844)
Test: [10/24] Time 14.591 (15.351) Loss 0.7483 (1.2413) Prec@1 76.953 (62.109) Prec@5 96.875 (88.778)
Test: [20/24] Time 13.350 (14.627) Loss 1.6093 (1.3928) Prec@1 44.531 (54.929) Prec@5 93.750 (89.862)
* Prec@1 56.964 Prec@5 90.512
Epoch: [4][0/47] Time 47.766 (47.766) Data 3.646 (3.646) Loss 1.4150 (1.4150) Prec@1 56.250 (56.250) Prec@5 89.453 (89.453)
Epoch: [4][10/47] Time 40.260 (40.906) Data 0.004 (0.343) Loss 1.2718 (1.2940) Prec@1 60.938 (58.203) Prec@5 89.844 (90.945)
Epoch: [4][20/47] Time 40.277 (40.560) Data 0.018 (0.186) Loss 1.3449 (1.2720) Prec@1 62.500 (59.487) Prec@5 90.625 (90.997)
Epoch: [4][30/47] Time 40.175 (40.462) Data 0.019 (0.132) Loss 1.2242 (1.2706) Prec@1 58.203 (59.451) Prec@5 90.625 (90.852)
Epoch: [4][40/47] Time 39.113 (40.346) Data 0.002 (0.101) Loss 1.4089 (1.2749) Prec@1 58.984 (59.184) Prec@5 87.891 (90.892)
Test: [0/24] Time 23.169 (23.169) Loss 1.2482 (1.2482) Prec@1 57.031 (57.031) Prec@5 85.938 (85.938)
Test: [10/24] Time 14.442 (15.336) Loss 0.4418 (1.2124) Prec@1 87.891 (61.115) Prec@5 98.438 (88.459)
Test: [20/24] Time 13.369 (14.651) Loss 1.1164 (1.4062) Prec@1 66.797 (54.260) Prec@5 96.484 (88.058)
* Prec@1 55.073 Prec@5 88.992
Epoch: [5][0/47] Time 47.526 (47.526) Data 3.753 (3.753) Loss 1.1485 (1.1485) Prec@1 62.109 (62.109) Prec@5 91.797 (91.797)
Epoch: [5][10/47] Time 40.329 (41.988) Data 0.005 (0.351) Loss 1.1565 (1.2043) Prec@1 63.672 (61.186) Prec@5 91.016 (91.655)
Epoch: [5][20/47] Time 40.189 (42.212) Data 0.018 (0.191) Loss 1.0808 (1.2099) Prec@1 66.406 (61.421) Prec@5 92.188 (91.722)
Epoch: [5][30/47] Time 46.886 (41.787) Data 0.019 (0.134) Loss 1.1685 (1.1976) Prec@1 61.328 (61.593) Prec@5 94.531 (92.036)
Epoch: [5][40/47] Time 39.219 (41.492) Data 0.002 (0.104) Loss 1.1590 (1.1796) Prec@1 63.672 (61.976) Prec@5 90.234 (92.216)
Test: [0/24] Time 22.890 (22.890) Loss 0.8613 (0.8613) Prec@1 71.875 (71.875) Prec@5 93.359 (93.359)
Test: [10/24] Time 14.539 (15.403) Loss 0.8732 (1.1342) Prec@1 69.922 (66.619) Prec@5 92.969 (89.986)
Test: [20/24] Time 13.332 (14.627) Loss 1.0560 (1.2045) Prec@1 62.109 (61.607) Prec@5 94.141 (91.871)
* Prec@1 62.300 Prec@5 92.386
Epoch: [6][0/47] Time 47.706 (47.706) Data 3.724 (3.724) Loss 1.1309 (1.1309) Prec@1 62.109 (62.109) Prec@5 92.188 (92.188)
Epoch: [6][10/47] Time 40.051 (40.930) Data 0.021 (0.351) Loss 1.0319 (1.0577) Prec@1 67.969 (65.483) Prec@5 92.578 (93.679)
Epoch: [6][20/47] Time 40.253 (40.585) Data 0.003 (0.188) Loss 1.1449 (1.0840) Prec@1 62.500 (64.323) Prec@5 90.234 (93.434)
Epoch: [6][30/47] Time 40.155 (40.483) Data 0.004 (0.131) Loss 1.1290 (1.0906) Prec@1 64.844 (64.491) Prec@5 91.016 (93.322)
Epoch: [6][40/47] Time 39.154 (40.377) Data 0.003 (0.102) Loss 0.9783 (1.0897) Prec@1 69.531 (64.634) Prec@5 94.141 (93.407)
Test: [0/24] Time 23.200 (23.200) Loss 2.0434 (2.0434) Prec@1 44.531 (44.531) Prec@5 77.734 (77.734)
Test: [10/24] Time 14.638 (15.387) Loss 0.9036 (1.2278) Prec@1 71.875 (63.530) Prec@5 94.141 (91.229)
Test: [20/24] Time 13.359 (14.659) Loss 1.1632 (1.3117) Prec@1 66.797 (60.733) Prec@5 91.406 (92.150)
* Prec@1 59.210 Prec@5 91.541
Epoch: [7][0/47] Time 53.265 (53.265) Data 3.984 (3.984) Loss 0.9772 (0.9772) Prec@1 68.750 (68.750) Prec@5 94.531 (94.531)
Epoch: [7][10/47] Time 40.195 (44.351) Data 0.020 (0.377) Loss 1.4272 (1.2857) Prec@1 50.781 (58.736) Prec@5 91.016 (90.589)
Epoch: [7][20/47] Time 40.235 (42.379) Data 0.004 (0.203) Loss 1.1953 (1.2469) Prec@1 60.938 (59.896) Prec@5 92.969 (90.774)
Epoch: [7][30/47] Time 40.207 (41.708) Data 0.020 (0.144) Loss 1.1049 (1.2314) Prec@1 64.453 (60.118) Prec@5 91.797 (90.965)
Epoch: [7][40/47] Time 39.123 (41.317) Data 0.002 (0.111) Loss 1.1378 (1.2095) Prec@1 61.328 (61.033) Prec@5 94.531 (91.092)
Test: [0/24] Time 23.251 (23.251) Loss 0.9138 (0.9138) Prec@1 73.438 (73.438) Prec@5 94.141 (94.141)
Test: [10/24] Time 14.405 (15.317) Loss 0.7087 (0.9758) Prec@1 76.562 (70.384) Prec@5 94.141 (93.146)
Test: [20/24] Time 13.279 (14.572) Loss 1.5933 (1.1205) Prec@1 44.922 (64.304) Prec@5 89.844 (93.657)
* Prec@1 64.089 Prec@5 93.669
Epoch: [8][0/47] Time 47.512 (47.512) Data 3.809 (3.809) Loss 1.0429 (1.0429) Prec@1 65.625 (65.625) Prec@5 94.141 (94.141)
Epoch: [8][10/47] Time 40.136 (40.957) Data 0.004 (0.355) Loss 1.0875 (1.0619) Prec@1 66.406 (65.234) Prec@5 93.750 (92.862)
Epoch: [8][20/47] Time 43.738 (40.784) Data 0.022 (0.192) Loss 0.9269 (1.0377) Prec@1 70.703 (66.425) Prec@5 94.531 (93.397)
Epoch: [8][30/47] Time 40.351 (40.843) Data 0.004 (0.135) Loss 1.0481 (1.0271) Prec@1 69.531 (67.011) Prec@5 94.922 (93.473)
Epoch: [8][40/47] Time 39.197 (40.649) Data 0.002 (0.104) Loss 1.1756 (1.0305) Prec@1 63.672 (66.816) Prec@5 93.359 (93.531)
Test: [0/24] Time 23.154 (23.154) Loss 0.6849 (0.6849) Prec@1 77.734 (77.734) Prec@5 96.094 (96.094)
Test: [10/24] Time 14.494 (15.359) Loss 0.4375 (0.8431) Prec@1 85.156 (73.757) Prec@5 99.219 (93.714)
Test: [20/24] Time 13.394 (14.649) Loss 0.9002 (1.0390) Prec@1 69.922 (67.467) Prec@5 96.875 (93.899)
* Prec@1 67.854 Prec@5 94.277
Epoch: [9][0/47] Time 53.329 (53.329) Data 3.860 (3.860) Loss 0.8086 (0.8086) Prec@1 72.266 (72.266) Prec@5 97.656 (97.656)
Epoch: [9][10/47] Time 40.237 (42.341) Data 0.018 (0.361) Loss 1.0491 (0.9130) Prec@1 67.578 (70.241) Prec@5 96.094 (95.490)
Epoch: [9][20/47] Time 40.379 (41.352) Data 0.020 (0.196) Loss 0.8786 (0.9270) Prec@1 67.969 (69.475) Prec@5 96.094 (94.996)
Epoch: [9][30/47] Time 40.306 (40.998) Data 0.004 (0.137) Loss 0.9518 (0.9539) Prec@1 68.359 (68.826) Prec@5 92.578 (94.682)
Epoch: [9][40/47] Time 39.216 (40.773) Data 0.002 (0.107) Loss 1.0321 (0.9588) Prec@1 68.359 (68.769) Prec@5 94.922 (94.722)
Test: [0/24] Time 23.172 (23.172) Loss 0.6371 (0.6371) Prec@1 81.250 (81.250) Prec@5 95.312 (95.312)
Test: [10/24] Time 14.641 (15.370) Loss 0.4508 (0.9596) Prec@1 86.328 (71.804) Prec@5 97.266 (93.643)
Test: [20/24] Time 13.363 (14.635) Loss 1.6986 (1.0294) Prec@1 47.656 (67.690) Prec@5 90.234 (94.717)
* Prec@1 65.727 Prec@5 94.108
Epoch: [10][0/47] Time 47.539 (47.539) Data 3.625 (3.625) Loss 0.8371 (0.8371) Prec@1 72.266 (72.266) Prec@5 96.875 (96.875)
Epoch: [10][10/47] Time 40.099 (40.917) Data 0.004 (0.341) Loss 0.9844 (0.9079) Prec@1 66.016 (71.129) Prec@5 95.312 (94.176)
Epoch: [10][20/47] Time 40.288 (40.595) Data 0.019 (0.184) Loss 0.8218 (0.9069) Prec@1 73.438 (71.057) Prec@5 95.312 (94.531)
Epoch: [10][30/47] Time 40.182 (40.457) Data 0.020 (0.129) Loss 0.8642 (0.8977) Prec@1 72.266 (71.333) Prec@5 96.094 (94.531)
Epoch: [10][40/47] Time 39.044 (40.344) Data 0.002 (0.100) Loss 0.8877 (0.9047) Prec@1 74.219 (71.151) Prec@5 93.750 (94.512)
Test: [0/24] Time 23.192 (23.192) Loss 1.4835 (1.4835) Prec@1 56.641 (56.641) Prec@5 87.500 (87.500)
Test: [10/24] Time 14.586 (15.357) Loss 0.3409 (0.9022) Prec@1 88.672 (72.940) Prec@5 98.438 (94.105)
Test: [20/24] Time 13.326 (14.629) Loss 1.4345 (1.1096) Prec@1 50.781 (65.867) Prec@5 94.922 (93.638)
* Prec@1 65.862 Prec@5 93.905
Epoch: [11][0/47] Time 49.335 (49.335) Data 3.993 (3.993) Loss 0.7467 (0.7467) Prec@1 76.562 (76.562) Prec@5 96.094 (96.094)
Epoch: [11][10/47] Time 40.367 (41.092) Data 0.004 (0.371) Loss 0.9781 (0.8447) Prec@1 71.094 (73.438) Prec@5 95.703 (95.597)
Epoch: [11][20/47] Time 40.293 (40.662) Data 0.004 (0.201) Loss 0.9959 (0.8853) Prec@1 67.188 (71.782) Prec@5 91.797 (94.680)
Epoch: [11][30/47] Time 40.212 (40.536) Data 0.003 (0.141) Loss 0.9481 (0.8831) Prec@1 65.234 (71.522) Prec@5 94.531 (94.859)
Epoch: [11][40/47] Time 39.240 (40.452) Data 0.002 (0.110) Loss 0.7692 (0.8729) Prec@1 73.828 (71.656) Prec@5 96.484 (94.960)
Test: [0/24] Time 23.346 (23.346) Loss 0.7629 (0.7629) Prec@1 80.469 (80.469) Prec@5 94.141 (94.141)
Test: [10/24] Time 14.621 (15.415) Loss 0.3171 (0.9406) Prec@1 92.188 (71.342) Prec@5 97.266 (95.739)
Test: [20/24] Time 13.405 (14.664) Loss 1.9374 (1.2023) Prec@1 39.453 (63.021) Prec@5 87.109 (93.769)
* Prec@1 61.506 Prec@5 93.145
Epoch: [12][0/47] Time 53.299 (53.299) Data 3.641 (3.641) Loss 0.8827 (0.8827) Prec@1 71.875 (71.875) Prec@5 94.922 (94.922)
Epoch: [12][10/47] Time 40.362 (45.711) Data 0.004 (0.339) Loss 0.7875 (0.8115) Prec@1 76.172 (74.467) Prec@5 95.312 (95.845)
Epoch: [12][20/47] Time 40.288 (43.122) Data 0.020 (0.182) Loss 0.6834 (0.8301) Prec@1 78.125 (73.419) Prec@5 96.875 (95.815)
Epoch: [12][30/47] Time 40.367 (42.209) Data 0.020 (0.127) Loss 0.7034 (0.8203) Prec@1 76.172 (73.753) Prec@5 96.484 (95.754)
Epoch: [12][40/47] Time 39.225 (41.940) Data 0.002 (0.100) Loss 0.7902 (0.8143) Prec@1 75.391 (73.952) Prec@5 95.312 (95.808)
Test: [0/24] Time 23.307 (23.307) Loss 1.4293 (1.4293) Prec@1 59.766 (59.766) Prec@5 88.672 (88.672)
Test: [10/24] Time 14.566 (15.373) Loss 0.6392 (1.0799) Prec@1 77.734 (70.845) Prec@5 98.828 (92.756)
Test: [20/24] Time 13.294 (14.644) Loss 1.3743 (1.2452) Prec@1 57.812 (65.941) Prec@5 93.359 (92.634)
* Prec@1 65.980 Prec@5 93.162
Epoch: [13][0/47] Time 47.712 (47.712) Data 4.003 (4.003) Loss 0.7857 (0.7857) Prec@1 74.609 (74.609) Prec@5 94.531 (94.531)
Epoch: [13][10/47] Time 40.240 (41.636) Data 0.003 (0.373) Loss 0.7007 (0.7437) Prec@1 76.953 (75.888) Prec@5 95.703 (96.200)
Epoch: [13][20/47] Time 40.156 (40.955) Data 0.004 (0.202) Loss 0.8784 (0.7578) Prec@1 71.875 (75.391) Prec@5 94.531 (96.038)
Epoch: [13][30/47] Time 40.066 (40.725) Data 0.019 (0.141) Loss 0.8231 (0.7700) Prec@1 73.828 (75.063) Prec@5 95.312 (96.018)
Epoch: [13][40/47] Time 39.205 (40.540) Data 0.002 (0.108) Loss 0.7795 (0.7779) Prec@1 71.484 (74.790) Prec@5 95.312 (95.941)
Test: [0/24] Time 23.403 (23.403) Loss 0.6662 (0.6662) Prec@1 80.469 (80.469) Prec@5 94.922 (94.922)
Test: [10/24] Time 14.355 (15.376) Loss 0.6700 (0.8417) Prec@1 78.516 (75.142) Prec@5 94.531 (94.141)
Test: [20/24] Time 13.833 (14.840) Loss 1.1340 (0.9092) Prec@1 62.500 (72.080) Prec@5 95.703 (95.517)
* Prec@1 72.058 Prec@5 95.357
Epoch: [14][0/47] Time 47.505 (47.505) Data 3.900 (3.900) Loss 0.8435 (0.8435) Prec@1 73.828 (73.828) Prec@5 94.922 (94.922)
Epoch: [14][10/47] Time 40.401 (41.322) Data 0.020 (0.364) Loss 0.7450 (0.7564) Prec@1 78.516 (76.634) Prec@5 95.312 (95.668)
Epoch: [14][20/47] Time 40.437 (40.923) Data 0.019 (0.198) Loss 0.7613 (0.7447) Prec@1 75.781 (76.246) Prec@5 96.094 (95.908)
Epoch: [14][30/47] Time 40.264 (40.708) Data 0.019 (0.139) Loss 0.8404 (0.7573) Prec@1 73.828 (75.693) Prec@5 94.141 (95.691)
Epoch: [14][40/47] Time 39.037 (40.901) Data 0.001 (0.107) Loss 0.8190 (0.7607) Prec@1 75.391 (75.562) Prec@5 97.266 (95.846)
Test: [0/24] Time 23.344 (23.344) Loss 0.7499 (0.7499) Prec@1 78.516 (78.516) Prec@5 97.266 (97.266)
Test: [10/24] Time 14.767 (15.420) Loss 0.5962 (0.8175) Prec@1 79.688 (76.562) Prec@5 97.266 (95.526)
Test: [20/24] Time 13.348 (14.658) Loss 1.1395 (0.9439) Prec@1 63.672 (72.005) Prec@5 96.094 (96.075)
* Prec@1 70.370 Prec@5 95.965
Epoch: [15][0/47] Time 47.570 (47.570) Data 3.636 (3.636) Loss 0.7328 (0.7328) Prec@1 76.953 (76.953) Prec@5 94.922 (94.922)
Epoch: [15][10/47] Time 40.171 (40.990) Data 0.021 (0.342) Loss 0.6928 (0.7567) Prec@1 78.125 (76.385) Prec@5 94.531 (95.312)
Epoch: [15][20/47] Time 40.237 (40.628) Data 0.004 (0.186) Loss 0.6906 (0.7328) Prec@1 78.906 (76.804) Prec@5 96.875 (95.982)
Epoch: [15][30/47] Time 40.274 (40.724) Data 0.020 (0.131) Loss 0.7186 (0.7294) Prec@1 76.953 (76.348) Prec@5 96.875 (96.119)
Epoch: [15][40/47] Time 39.274 (40.602) Data 0.002 (0.102) Loss 0.6460 (0.7372) Prec@1 75.781 (76.086) Prec@5 97.266 (96.132)
Test: [0/24] Time 23.360 (23.360) Loss 0.8519 (0.8519) Prec@1 74.219 (74.219) Prec@5 95.703 (95.703)
Test: [10/24] Time 14.452 (15.449) Loss 0.3663 (0.7678) Prec@1 89.453 (76.953) Prec@5 97.266 (95.703)
Test: [20/24] Time 13.269 (14.687) Loss 0.9267 (0.9262) Prec@1 71.875 (71.949) Prec@5 96.094 (95.554)
* Prec@1 72.294 Prec@5 95.712
Epoch: [16][0/47] Time 47.590 (47.590) Data 3.739 (3.739) Loss 0.7570 (0.7570) Prec@1 75.781 (75.781) Prec@5 95.703 (95.703)
Epoch: [16][10/47] Time 40.265 (41.000) Data 0.018 (0.352) Loss 0.8463 (0.7224) Prec@1 71.875 (76.634) Prec@5 95.703 (96.484)
Epoch: [16][20/47] Time 40.262 (40.678) Data 0.023 (0.190) Loss 0.6755 (0.7149) Prec@1 76.953 (76.804) Prec@5 96.484 (96.391)
Epoch: [16][30/47] Time 44.121 (40.857) Data 0.022 (0.134) Loss 0.6304 (0.7045) Prec@1 77.344 (77.016) Prec@5 96.875 (96.560)
Epoch: [16][40/47] Time 39.210 (41.058) Data 0.002 (0.104) Loss 0.7560 (0.6996) Prec@1 74.219 (77.096) Prec@5 97.266 (96.608)
Test: [0/24] Time 23.243 (23.243) Loss 1.1278 (1.1278) Prec@1 69.141 (69.141) Prec@5 91.797 (91.797)
Test: [10/24] Time 14.568 (15.371) Loss 0.4749 (0.9162) Prec@1 83.984 (74.467) Prec@5 97.656 (93.786)
Test: [20/24] Time 13.315 (14.652) Loss 1.3570 (1.0557) Prec@1 54.297 (69.475) Prec@5 94.922 (94.085)
* Prec@1 70.927 Prec@5 94.462
Epoch: [17][0/47] Time 47.706 (47.706) Data 3.654 (3.654) Loss 0.6651 (0.6651) Prec@1 76.953 (76.953) Prec@5 98.047 (98.047)
Epoch: [17][10/47] Time 40.292 (41.022) Data 0.004 (0.347) Loss 0.7682 (0.7371) Prec@1 74.609 (75.959) Prec@5 96.875 (96.378)
Epoch: [17][20/47] Time 40.083 (40.653) Data 0.020 (0.187) Loss 0.6241 (0.7211) Prec@1 80.078 (76.488) Prec@5 98.047 (96.466)
Epoch: [17][30/47] Time 40.503 (40.542) Data 0.019 (0.131) Loss 0.6681 (0.7155) Prec@1 76.562 (76.903) Prec@5 97.266 (96.396)
Epoch: [17][40/47] Time 39.084 (40.404) Data 0.002 (0.102) Loss 0.7105 (0.7078) Prec@1 80.078 (77.201) Prec@5 94.531 (96.351)
Test: [0/24] Time 23.476 (23.476) Loss 1.3201 (1.3201) Prec@1 66.406 (66.406) Prec@5 91.797 (91.797)
Test: [10/24] Time 14.567 (15.403) Loss 0.2610 (0.8282) Prec@1 90.234 (76.634) Prec@5 99.219 (95.312)
Test: [20/24] Time 13.364 (14.688) Loss 0.8666 (0.9207) Prec@1 73.828 (73.921) Prec@5 96.484 (95.833)
* Prec@1 73.375 Prec@5 95.914
Epoch: [18][0/47] Time 47.796 (47.796) Data 3.739 (3.739) Loss 0.6165 (0.6165) Prec@1 80.859 (80.859) Prec@5 98.828 (98.828)
Epoch: [18][10/47] Time 45.845 (42.503) Data 0.004 (0.348) Loss 0.6802 (0.6351) Prec@1 76.562 (79.723) Prec@5 95.703 (97.159)
Epoch: [18][20/47] Time 40.165 (41.409) Data 0.018 (0.189) Loss 0.7572 (0.6418) Prec@1 76.953 (79.464) Prec@5 96.094 (96.912)
Epoch: [18][30/47] Time 40.196 (41.021) Data 0.002 (0.133) Loss 0.5925 (0.6512) Prec@1 80.469 (79.057) Prec@5 99.219 (97.026)
Epoch: [18][40/47] Time 39.065 (40.783) Data 0.001 (0.103) Loss 0.6787 (0.6661) Prec@1 78.906 (78.401) Prec@5 97.656 (96.913)
Test: [0/24] Time 23.326 (23.326) Loss 0.5063 (0.5063) Prec@1 87.109 (87.109) Prec@5 97.266 (97.266)
Test: [10/24] Time 14.563 (15.422) Loss 0.5326 (0.9444) Prec@1 83.594 (72.514) Prec@5 96.094 (93.466)
Test: [20/24] Time 13.399 (14.689) Loss 1.0163 (0.9143) Prec@1 68.750 (71.782) Prec@5 97.656 (95.610)
* Prec@1 71.265 Prec@5 95.678
Epoch: [19][0/47] Time 47.769 (47.769) Data 3.633 (3.633) Loss 0.6461 (0.6461) Prec@1 79.297 (79.297) Prec@5 96.484 (96.484)
Epoch: [19][10/47] Time 40.264 (41.054) Data 0.020 (0.343) Loss 0.7491 (0.6462) Prec@1 75.781 (79.084) Prec@5 96.484 (96.982)
Epoch: [19][20/47] Time 40.293 (40.677) Data 0.004 (0.184) Loss 0.6815 (0.6456) Prec@1 76.562 (79.036) Prec@5 96.484 (96.782)
Epoch: [19][30/47] Time 40.320 (40.897) Data 0.004 (0.129) Loss 0.6731 (0.6524) Prec@1 79.688 (79.246) Prec@5 96.484 (96.837)
Epoch: [19][40/47] Time 42.872 (40.926) Data 0.001 (0.099) Loss 0.6648 (0.6581) Prec@1 77.344 (79.078) Prec@5 97.656 (96.856)
Test: [0/24] Time 23.249 (23.249) Loss 1.0024 (1.0024) Prec@1 72.266 (72.266) Prec@5 94.531 (94.531)
Test: [10/24] Time 14.545 (15.416) Loss 0.2839 (0.5798) Prec@1 90.625 (83.523) Prec@5 98.438 (96.875)
Test: [20/24] Time 13.409 (14.687) Loss 1.1452 (0.8364) Prec@1 63.281 (76.302) Prec@5 93.359 (96.075)
* Prec@1 75.469 Prec@5 95.779
Epoch: [20][0/47] Time 47.600 (47.600) Data 3.974 (3.974) Loss 0.6060 (0.6060) Prec@1 80.078 (80.078) Prec@5 96.094 (96.094)
Epoch: [20][10/47] Time 40.417 (40.993) Data 0.018 (0.376) Loss 0.6308 (0.6240) Prec@1 82.031 (79.226) Prec@5 96.484 (97.408)
Epoch: [20][20/47] Time 40.290 (40.676) Data 0.003 (0.203) Loss 0.6485 (0.6302) Prec@1 78.516 (79.315) Prec@5 96.484 (97.098)
Epoch: [20][30/47] Time 40.190 (40.548) Data 0.003 (0.141) Loss 0.6183 (0.6223) Prec@1 78.516 (79.259) Prec@5 96.875 (97.165)
Epoch: [20][40/47] Time 39.119 (40.447) Data 0.001 (0.110) Loss 0.7181 (0.6233) Prec@1 72.656 (79.163) Prec@5 96.875 (97.132)
Test: [0/24] Time 23.270 (23.270) Loss 0.8511 (0.8511) Prec@1 77.734 (77.734) Prec@5 95.703 (95.703)
Test: [10/24] Time 14.618 (15.457) Loss 0.4195 (0.8665) Prec@1 88.281 (76.740) Prec@5 97.656 (94.886)
Test: [20/24] Time 13.415 (14.725) Loss 0.9135 (0.8747) Prec@1 72.266 (75.037) Prec@5 96.875 (96.224)
* Prec@1 73.594 Prec@5 95.712
Epoch: [21][0/47] Time 47.757 (47.757) Data 3.695 (3.695) Loss 0.5673 (0.5673) Prec@1 80.859 (80.859) Prec@5 99.609 (99.609)
Epoch: [21][10/47] Time 40.338 (40.956) Data 0.020 (0.349) Loss 0.5803 (0.5532) Prec@1 79.297 (81.996) Prec@5 98.047 (97.869)
Epoch: [21][20/47] Time 40.300 (40.653) Data 0.018 (0.189) Loss 0.6554 (0.5891) Prec@1 78.906 (80.841) Prec@5 97.266 (97.545)
Epoch: [21][30/47] Time 40.274 (40.542) Data 0.003 (0.132) Loss 0.5906 (0.6051) Prec@1 80.078 (80.368) Prec@5 95.703 (97.278)
Epoch: [21][40/47] Time 40.736 (40.618) Data 0.002 (0.102) Loss 0.6940 (0.6296) Prec@1 76.562 (79.373) Prec@5 96.484 (96.980)
Test: [0/24] Time 23.122 (23.122) Loss 0.5760 (0.5760) Prec@1 86.719 (86.719) Prec@5 96.875 (96.875)
Test: [10/24] Time 14.527 (15.389) Loss 0.1715 (0.6384) Prec@1 95.312 (82.635) Prec@5 99.219 (97.053)
Test: [20/24] Time 13.257 (14.645) Loss 1.9289 (0.8598) Prec@1 41.016 (74.609) Prec@5 91.406 (96.726)
* Prec@1 72.531 Prec@5 96.404
Epoch: [22][0/47] Time 47.668 (47.668) Data 3.749 (3.749) Loss 0.5844 (0.5844) Prec@1 80.469 (80.469) Prec@5 97.266 (97.266)
Epoch: [22][10/47] Time 40.450 (41.018) Data 0.018 (0.353) Loss 0.5568 (0.6045) Prec@1 80.469 (80.682) Prec@5 97.656 (96.946)
Epoch: [22][20/47] Time 40.436 (40.722) Data 0.019 (0.192) Loss 0.5701 (0.5784) Prec@1 82.031 (81.492) Prec@5 97.266 (97.582)
Epoch: [22][30/47] Time 40.045 (40.691) Data 0.003 (0.135) Loss 0.6195 (0.5776) Prec@1 80.469 (81.452) Prec@5 94.922 (97.480)
Epoch: [22][40/47] Time 39.203 (40.580) Data 0.002 (0.105) Loss 0.7575 (0.5925) Prec@1 75.391 (80.850) Prec@5 93.359 (97.380)
Test: [0/24] Time 23.358 (23.358) Loss 0.9983 (0.9983) Prec@1 70.703 (70.703) Prec@5 96.484 (96.484)
Test: [10/24] Time 14.682 (15.474) Loss 0.3565 (0.6855) Prec@1 87.891 (80.433) Prec@5 97.656 (96.449)
Test: [20/24] Time 13.310 (14.709) Loss 0.5546 (0.8088) Prec@1 84.375 (76.786) Prec@5 97.266 (96.391)
* Prec@1 76.498 Prec@5 96.488
Epoch: [23][0/47] Time 47.681 (47.681) Data 3.671 (3.671) Loss 0.5722 (0.5722) Prec@1 78.906 (78.906) Prec@5 97.656 (97.656)
Epoch: [23][10/47] Time 40.197 (40.966) Data 0.004 (0.343) Loss 0.5961 (0.5894) Prec@1 79.688 (80.717) Prec@5 97.656 (97.337)
Epoch: [23][20/47] Time 40.151 (40.625) Data 0.018 (0.189) Loss 0.6590 (0.5764) Prec@1 78.906 (81.101) Prec@5 97.266 (97.489)
Epoch: [23][30/47] Time 40.293 (40.518) Data 0.004 (0.132) Loss 0.5835 (0.5866) Prec@1 82.031 (80.885) Prec@5 98.438 (97.492)
Epoch: [23][40/47] Time 39.128 (40.472) Data 0.002 (0.102) Loss 0.6282 (0.5912) Prec@1 81.250 (80.688) Prec@5 96.875 (97.447)
Test: [0/24] Time 23.460 (23.460) Loss 0.8247 (0.8247) Prec@1 78.516 (78.516) Prec@5 97.656 (97.656)
Test: [10/24] Time 14.548 (15.428) Loss 0.8965 (0.8471) Prec@1 74.609 (79.794) Prec@5 94.141 (95.739)
Test: [20/24] Time 13.420 (14.708) Loss 0.8455 (1.1594) Prec@1 74.219 (70.908) Prec@5 96.875 (95.852)
* Prec@1 69.458 Prec@5 95.729
Epoch: [24][0/47] Time 53.550 (53.550) Data 4.018 (4.018) Loss 0.5639 (0.5639) Prec@1 81.641 (81.641) Prec@5 96.875 (96.875)
Epoch: [24][10/47] Time 40.210 (42.330) Data 0.019 (0.376) Loss 0.5188 (0.5551) Prec@1 82.422 (81.321) Prec@5 98.047 (97.727)
Epoch: [24][20/47] Time 40.156 (41.353) Data 0.004 (0.204) Loss 0.6351 (0.5489) Prec@1 80.078 (82.161) Prec@5 97.656 (97.731)
Epoch: [24][30/47] Time 45.827 (41.621) Data 0.020 (0.143) Loss 0.6174 (0.5641) Prec@1 78.906 (81.792) Prec@5 97.266 (97.593)
Epoch: [24][40/47] Time 39.247 (41.477) Data 0.002 (0.110) Loss 0.6392 (0.5714) Prec@1 79.297 (81.679) Prec@5 96.484 (97.494)
Test: [0/24] Time 23.207 (23.207) Loss 2.2177 (2.2177) Prec@1 67.969 (67.969) Prec@5 93.359 (93.359)
Test: [10/24] Time 14.540 (15.419) Loss 1.2762 (1.4365) Prec@1 77.734 (74.006) Prec@5 92.578 (93.430)
Test: [20/24] Time 13.387 (14.730) Loss 2.9718 (2.0228) Prec@1 58.203 (65.346) Prec@5 99.219 (93.601)
* Prec@1 65.609 Prec@5 93.703
Epoch: [25][0/47] Time 47.712 (47.712) Data 3.773 (3.773) Loss 0.5426 (0.5426) Prec@1 80.469 (80.469) Prec@5 98.438 (98.438)
Epoch: [25][10/47] Time 45.791 (42.981) Data 0.019 (0.354) Loss 0.6588 (0.5967) Prec@1 80.078 (81.463) Prec@5 98.047 (97.337)
Epoch: [25][20/47] Time 40.334 (42.744) Data 0.014 (0.189) Loss 0.6035 (0.5960) Prec@1 81.641 (80.897) Prec@5 95.703 (97.545)
Epoch: [25][30/47] Time 40.160 (41.918) Data 0.019 (0.133) Loss 0.6137 (0.5940) Prec@1 79.297 (80.960) Prec@5 97.656 (97.404)
Epoch: [25][40/47] Time 39.890 (41.460) Data 0.002 (0.103) Loss 0.5202 (0.5895) Prec@1 82.422 (81.117) Prec@5 98.047 (97.351)
Test: [0/24] Time 23.447 (23.447) Loss 0.7113 (0.7113) Prec@1 80.078 (80.078) Prec@5 97.266 (97.266)
Test: [10/24] Time 14.490 (15.396) Loss 0.3451 (0.6704) Prec@1 90.625 (81.214) Prec@5 98.438 (96.591)
Test: [20/24] Time 13.309 (14.655) Loss 1.1418 (0.8100) Prec@1 63.281 (76.432) Prec@5 95.312 (96.373)
* Prec@1 76.144 Prec@5 96.218
Epoch: [26][0/47] Time 47.506 (47.506) Data 4.017 (4.017) Loss 0.4730 (0.4730) Prec@1 84.375 (84.375) Prec@5 95.703 (95.703)
Epoch: [26][10/47] Time 40.327 (41.187) Data 0.019 (0.375) Loss 0.5233 (0.5357) Prec@1 82.031 (81.712) Prec@5 98.047 (97.834)
Epoch: [26][20/47] Time 40.083 (40.743) Data 0.019 (0.201) Loss 0.5922 (0.5456) Prec@1 82.031 (82.124) Prec@5 95.312 (97.470)
Epoch: [26][30/47] Time 40.397 (40.584) Data 0.002 (0.140) Loss 0.4715 (0.5473) Prec@1 85.156 (82.208) Prec@5 96.484 (97.354)
Epoch: [26][40/47] Time 39.190 (40.459) Data 0.002 (0.108) Loss 0.5493 (0.5487) Prec@1 80.078 (82.165) Prec@5 98.047 (97.428)
Test: [0/24] Time 23.117 (23.117) Loss 1.7283 (1.7283) Prec@1 65.234 (65.234) Prec@5 91.406 (91.406)
Test: [10/24] Time 14.635 (15.432) Loss 0.3072 (0.8971) Prec@1 91.406 (77.699) Prec@5 97.656 (95.135)
Test: [20/24] Time 13.275 (14.676) Loss 1.0118 (0.9504) Prec@1 70.703 (73.735) Prec@5 92.578 (95.703)
* Prec@1 73.527 Prec@5 95.610
Epoch: [27][0/47] Time 47.757 (47.757) Data 3.767 (3.767) Loss 0.5467 (0.5467) Prec@1 81.250 (81.250) Prec@5 97.656 (97.656)
Epoch: [27][10/47] Time 40.294 (40.999) Data 0.018 (0.358) Loss 0.5024 (0.5336) Prec@1 83.984 (82.457) Prec@5 97.266 (97.621)
Epoch: [27][20/47] Time 40.401 (40.652) Data 0.019 (0.196) Loss 0.5210 (0.5323) Prec@1 81.641 (82.273) Prec@5 98.828 (97.675)
Epoch: [27][30/47] Time 45.887 (41.074) Data 0.014 (0.137) Loss 0.4200 (0.5225) Prec@1 89.453 (82.661) Prec@5 97.266 (97.820)
Epoch: [27][40/47] Time 39.276 (41.294) Data 0.002 (0.106) Loss 0.5334 (0.5222) Prec@1 83.984 (82.774) Prec@5 97.656 (97.761)
Test: [0/24] Time 23.299 (23.299) Loss 0.6399 (0.6399) Prec@1 83.984 (83.984) Prec@5 96.094 (96.094)
Test: [10/24] Time 14.519 (15.351) Loss 1.1608 (0.7273) Prec@1 69.141 (79.616) Prec@5 92.578 (95.916)
Test: [20/24] Time 13.349 (14.626) Loss 1.4030 (0.9599) Prec@1 60.156 (72.768) Prec@5 96.484 (95.294)
* Prec@1 73.848 Prec@5 95.627
Epoch: [28][0/47] Time 47.718 (47.718) Data 3.874 (3.874) Loss 0.4932 (0.4932) Prec@1 83.594 (83.594) Prec@5 98.047 (98.047)
Epoch: [28][10/47] Time 40.325 (40.964) Data 0.003 (0.361) Loss 0.3868 (0.5213) Prec@1 89.062 (82.884) Prec@5 98.047 (97.479)
Epoch: [28][20/47] Time 40.185 (40.644) Data 0.020 (0.195) Loss 0.6288 (0.5222) Prec@1 80.859 (83.129) Prec@5 97.266 (97.582)
Epoch: [28][30/47] Time 40.217 (40.526) Data 0.020 (0.136) Loss 0.4865 (0.5259) Prec@1 83.594 (82.876) Prec@5 98.047 (97.631)
Epoch: [28][40/47] Time 39.222 (40.407) Data 0.002 (0.105) Loss 0.5561 (0.5258) Prec@1 81.641 (82.812) Prec@5 96.875 (97.590)
Test: [0/24] Time 23.293 (23.293) Loss 1.6187 (1.6187) Prec@1 62.109 (62.109) Prec@5 97.266 (97.266)
Test: [10/24] Time 14.651 (15.422) Loss 0.7540 (0.7895) Prec@1 77.734 (79.581) Prec@5 96.484 (96.839)
Test: [20/24] Time 13.281 (14.657) Loss 0.5270 (0.9290) Prec@1 82.812 (75.019) Prec@5 98.438 (96.205)
* Prec@1 74.439 Prec@5 95.982
Epoch: [29][0/47] Time 47.618 (47.618) Data 3.878 (3.878) Loss 0.4325 (0.4325) Prec@1 85.156 (85.156) Prec@5 99.219 (99.219)
Epoch: [29][10/47] Time 40.158 (41.434) Data 0.020 (0.367) Loss 0.4447 (0.4998) Prec@1 84.766 (83.629) Prec@5 98.828 (98.402)
Epoch: [29][20/47] Time 40.460 (40.901) Data 0.003 (0.198) Loss 0.5445 (0.5042) Prec@1 85.156 (83.724) Prec@5 96.484 (98.065)
Epoch: [29][30/47] Time 40.188 (40.702) Data 0.003 (0.138) Loss 0.6377 (0.5169) Prec@1 80.859 (83.191) Prec@5 97.656 (97.933)
Epoch: [29][40/47] Time 39.335 (40.529) Data 0.001 (0.107) Loss 0.4448 (0.5280) Prec@1 84.766 (82.812) Prec@5 99.219 (97.847)
Test: [0/24] Time 23.290 (23.290) Loss 0.6812 (0.6812) Prec@1 79.688 (79.688) Prec@5 98.047 (98.047)
Test: [10/24] Time 14.805 (15.439) Loss 0.3312 (0.6183) Prec@1 88.672 (82.741) Prec@5 98.828 (96.768)
Test: [20/24] Time 13.381 (14.682) Loss 0.6766 (0.7566) Prec@1 79.297 (78.702) Prec@5 98.438 (96.856)
* Prec@1 77.039 Prec@5 96.691
Epoch: [30][0/47] Time 47.593 (47.593) Data 3.983 (3.983) Loss 0.4477 (0.4477) Prec@1 83.594 (83.594) Prec@5 97.656 (97.656)
Epoch: [30][10/47] Time 40.166 (40.953) Data 0.003 (0.371) Loss 0.4504 (0.4801) Prec@1 85.156 (84.233) Prec@5 96.875 (98.082)
Epoch: [30][20/47] Time 46.084 (42.269) Data 0.023 (0.199) Loss 0.3902 (0.4636) Prec@1 87.500 (85.007) Prec@5 98.828 (98.028)
Epoch: [30][30/47] Time 40.416 (41.627) Data 0.003 (0.138) Loss 0.4284 (0.4471) Prec@1 85.938 (85.660) Prec@5 97.266 (98.059)
Epoch: [30][40/47] Time 39.147 (41.240) Data 0.002 (0.107) Loss 0.3943 (0.4403) Prec@1 89.062 (85.852) Prec@5 99.609 (98.142)
Test: [0/24] Time 23.242 (23.242) Loss 0.9624 (0.9624) Prec@1 75.000 (75.000) Prec@5 96.094 (96.094)
Test: [10/24] Time 14.583 (15.392) Loss 0.2420 (0.5574) Prec@1 92.188 (84.588) Prec@5 98.828 (97.266)
Test: [20/24] Time 13.305 (14.646) Loss 0.8397 (0.6609) Prec@1 71.094 (81.641) Prec@5 97.656 (97.359)
* Prec@1 81.445 Prec@5 97.366
Epoch: [31][0/47] Time 47.579 (47.579) Data 3.749 (3.749) Loss 0.3087 (0.3087) Prec@1 89.844 (89.844) Prec@5 98.828 (98.828)
Epoch: [31][10/47] Time 40.357 (40.978) Data 0.003 (0.350) Loss 0.4235 (0.3703) Prec@1 85.938 (88.281) Prec@5 98.828 (98.757)
Epoch: [31][20/47] Time 40.207 (40.652) Data 0.019 (0.190) Loss 0.4066 (0.3724) Prec@1 85.938 (88.132) Prec@5 97.656 (98.493)
Epoch: [31][30/47] Time 40.256 (40.520) Data 0.018 (0.134) Loss 0.4558 (0.3684) Prec@1 84.375 (88.155) Prec@5 98.047 (98.488)
Epoch: [31][40/47] Time 39.236 (40.416) Data 0.002 (0.102) Loss 0.2770 (0.3651) Prec@1 92.578 (88.405) Prec@5 99.219 (98.542)
Test: [0/24] Time 23.290 (23.290) Loss 0.9986 (0.9986) Prec@1 75.781 (75.781) Prec@5 96.875 (96.875)
Test: [10/24] Time 14.611 (15.430) Loss 0.3108 (0.5642) Prec@1 89.844 (84.837) Prec@5 98.828 (97.585)
Test: [20/24] Time 13.307 (14.678) Loss 0.7070 (0.6657) Prec@1 79.688 (82.087) Prec@5 97.656 (97.489)
* Prec@1 82.002 Prec@5 97.535
Epoch: [32][0/47] Time 47.793 (47.793) Data 3.755 (3.755) Loss 0.3757 (0.3757) Prec@1 86.719 (86.719) Prec@5 98.828 (98.828)
Epoch: [32][10/47] Time 40.237 (41.034) Data 0.022 (0.353) Loss 0.3298 (0.3365) Prec@1 89.844 (89.311) Prec@5 99.219 (98.615)
Epoch: [32][20/47] Time 40.224 (40.662) Data 0.020 (0.191) Loss 0.4131 (0.3490) Prec@1 85.156 (88.932) Prec@5 98.438 (98.475)
Epoch: [32][30/47] Time 40.388 (40.542) Data 0.004 (0.132) Loss 0.3520 (0.3528) Prec@1 88.672 (88.722) Prec@5 99.219 (98.475)
Epoch: [32][40/47] Time 39.250 (40.413) Data 0.001 (0.102) Loss 0.3334 (0.3521) Prec@1 89.844 (88.948) Prec@5 99.219 (98.428)
Test: [0/24] Time 23.231 (23.231) Loss 0.9667 (0.9667) Prec@1 76.172 (76.172) Prec@5 97.266 (97.266)
Test: [10/24] Time 14.707 (15.460) Loss 0.2628 (0.5519) Prec@1 90.625 (85.618) Prec@5 99.219 (97.550)
Test: [20/24] Time 13.484 (14.726) Loss 0.6787 (0.6663) Prec@1 81.250 (82.626) Prec@5 98.047 (97.340)
* Prec@1 82.441 Prec@5 97.434
Epoch: [33][0/47] Time 49.172 (49.172) Data 3.776 (3.776) Loss 0.3629 (0.3629) Prec@1 88.672 (88.672) Prec@5 98.047 (98.047)
Epoch: [33][10/47] Time 40.380 (41.140) Data 0.005 (0.352) Loss 0.3533 (0.3564) Prec@1 87.891 (88.352) Prec@5 98.828 (98.580)
Epoch: [33][20/47] Time 40.384 (40.753) Data 0.018 (0.192) Loss 0.3363 (0.3401) Prec@1 88.672 (89.007) Prec@5 98.828 (98.624)
Epoch: [33][30/47] Time 40.159 (40.583) Data 0.015 (0.134) Loss 0.4410 (0.3398) Prec@1 85.547 (89.214) Prec@5 96.875 (98.513)
Epoch: [33][40/47] Time 39.454 (40.461) Data 0.001 (0.105) Loss 0.3619 (0.3453) Prec@1 89.844 (89.082) Prec@5 98.828 (98.523)
Test: [0/24] Time 23.323 (23.323) Loss 0.8526 (0.8526) Prec@1 77.344 (77.344) Prec@5 96.484 (96.484)
Test: [10/24] Time 14.515 (15.398) Loss 0.3161 (0.5474) Prec@1 89.453 (85.831) Prec@5 98.828 (97.514)
Test: [20/24] Time 13.314 (14.671) Loss 0.8281 (0.6799) Prec@1 77.734 (82.440) Prec@5 97.656 (97.228)
* Prec@1 82.121 Prec@5 97.265
Epoch: [34][0/47] Time 47.731 (47.731) Data 3.912 (3.912) Loss 0.3236 (0.3236) Prec@1 92.188 (92.188) Prec@5 97.656 (97.656)
Epoch: [34][10/47] Time 40.366 (41.060) Data 0.020 (0.368) Loss 0.2341 (0.3380) Prec@1 93.750 (90.021) Prec@5 99.609 (98.438)
Epoch: [34][20/47] Time 40.409 (40.744) Data 0.003 (0.198) Loss 0.3027 (0.3443) Prec@1 89.062 (89.304) Prec@5 99.609 (98.549)
Epoch: [34][30/47] Time 40.218 (40.587) Data 0.019 (0.138) Loss 0.3513 (0.3399) Prec@1 87.891 (89.277) Prec@5 98.438 (98.526)
Epoch: [34][40/47] Time 44.824 (40.812) Data 0.002 (0.108) Loss 0.3337 (0.3381) Prec@1 90.234 (89.282) Prec@5 98.047 (98.561)
Test: [0/24] Time 23.334 (23.334) Loss 0.9903 (0.9903) Prec@1 76.172 (76.172) Prec@5 96.484 (96.484)
Test: [10/24] Time 14.572 (15.412) Loss 0.2344 (0.5721) Prec@1 92.969 (85.547) Prec@5 98.828 (97.479)
Test: [20/24] Time 13.394 (14.687) Loss 0.7417 (0.6780) Prec@1 80.469 (82.961) Prec@5 98.047 (97.545)
* Prec@1 82.661 Prec@5 97.535
Epoch: [35][0/47] Time 47.728 (47.728) Data 3.854 (3.854) Loss 0.3462 (0.3462) Prec@1 89.453 (89.453) Prec@5 99.219 (99.219)
Epoch: [35][10/47] Time 40.352 (41.025) Data 0.004 (0.360) Loss 0.3113 (0.3384) Prec@1 90.625 (89.205) Prec@5 98.828 (98.686)
Epoch: [35][20/47] Time 40.373 (40.725) Data 0.019 (0.195) Loss 0.2812 (0.3184) Prec@1 91.406 (89.453) Prec@5 99.219 (98.772)
Epoch: [35][30/47] Time 40.330 (40.580) Data 0.021 (0.136) Loss 0.3513 (0.3215) Prec@1 87.500 (89.378) Prec@5 98.047 (98.816)
Epoch: [35][40/47] Time 39.197 (40.453) Data 0.002 (0.106) Loss 0.2490 (0.3209) Prec@1 92.188 (89.510) Prec@5 99.609 (98.742)
Test: [0/24] Time 23.409 (23.409) Loss 1.0160 (1.0160) Prec@1 75.781 (75.781) Prec@5 98.047 (98.047)
Test: [10/24] Time 14.906 (15.416) Loss 0.2965 (0.5646) Prec@1 90.234 (86.080) Prec@5 98.828 (97.727)
Test: [20/24] Time 13.489 (14.710) Loss 0.7370 (0.6981) Prec@1 79.297 (82.440) Prec@5 98.047 (97.377)
* Prec@1 82.070 Prec@5 97.366
Epoch: [36][0/47] Time 47.723 (47.723) Data 4.016 (4.016) Loss 0.2685 (0.2685) Prec@1 90.625 (90.625) Prec@5 99.609 (99.609)
Epoch: [36][10/47] Time 40.233 (41.063) Data 0.019 (0.376) Loss 0.2824 (0.2813) Prec@1 90.625 (90.625) Prec@5 98.047 (98.757)
Epoch: [36][20/47] Time 40.427 (40.714) Data 0.015 (0.205) Loss 0.2950 (0.2899) Prec@1 90.234 (90.439) Prec@5 99.609 (98.810)
Epoch: [36][30/47] Time 40.258 (40.548) Data 0.004 (0.144) Loss 0.2214 (0.2893) Prec@1 93.359 (90.461) Prec@5 99.609 (98.828)
Epoch: [36][40/47] Time 39.152 (40.419) Data 0.002 (0.112) Loss 0.2786 (0.2941) Prec@1 92.188 (90.520) Prec@5 98.438 (98.780)
Test: [0/24] Time 23.414 (23.414) Loss 1.0548 (1.0548) Prec@1 77.344 (77.344) Prec@5 97.656 (97.656)
Test: [10/24] Time 14.416 (15.427) Loss 0.3168 (0.5908) Prec@1 89.453 (85.582) Prec@5 98.828 (97.656)
Test: [20/24] Time 13.370 (14.684) Loss 0.7159 (0.6883) Prec@1 81.250 (83.092) Prec@5 98.047 (97.600)
* Prec@1 82.745 Prec@5 97.535