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MXNet Imagenet training configurations
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| python train_imagenet.py --data-train ~/data/train.rec --data-val ~/data/val.rec --gpus 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15 --data-nthreads 32 --network resnet101_v2 --batch-size 256 --top-k 5 --model-prefix model/resnet101_v2 --min-random-scale 0.533 --max-random-shear-ratio 0 --max-random-rotate-angle 0 --max-random-h 0 --max-random-l 0 --max-random-s 0 --lr-step-epochs 30,60,90 --num-epochs 120 --rgb-std '58.395,57.12,57.375' |
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| python train_imagenet.py --data-train ~/data/train.rec --data-val ~/data/val.rec --gpus 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15 --data-nthreads 32 --num-layers 18 --batch-size 256 --top-k 5 --model-prefix model/resnet18 --disp-batches 100 --min-random-scale 0.533 | |
| pending on p282 | |
| start with arguments Namespace(batch_size=256, benchmark=0, data_nthreads=32, data_train='/home/ubuntu/data/train.rec', data_val='/home/ubuntu/data/val.rec', disp_batches=100, dtype='float32', gpus='0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15', image_shape='3,224,224', kv_store='device', load_epoch=None, lr=0.1, lr_factor=0.1, lr_step_epochs='30,60', max_random_aspect_ratio=0.25, max_random_h=36, max_random_l=50, max_random_rotate_angle=10, max_random_s=50, max_random_scale=1, max_random_shear_ratio=0.1, min_random_scale=0.533, model_prefix='model/resnet18', mom=0.9, monitor=0, network='resnet', num_classes=1000, num_epochs=80, num_examples=1281167, num_layers=18, optimizer='sgd', pad_size=0, random_crop=1, random_mirror=1, rgb_mean='123.68,116.779,103.939', test_io=0, top_k=5, wd=0.0001) | |
| Epoch[0] Batch [100] Speed: 1306.85 samples/sec accuracy=0.002630 top_k_accuracy_5=0.010713 | |
| Epoch[0] Batch [200] Speed: 1331.08 samples/sec accuracy=0.005000 top_k_accuracy_5=0.018203 | |
| Epoch[0] Batch [300] Speed: 1358.90 samples/sec accuracy=0.005430 top_k_accuracy_5=0.023594 | |
| Epoch[0] Batch [400] Speed: 1357.59 samples/sec accuracy=0.006758 top_k_accuracy_5=0.029687 | |
| Epoch[0] Batch [500] Speed: 1369.17 samples/sec accuracy=0.008789 top_k_accuracy_5=0.034922 | |
| Epoch[0] Batch [600] Speed: 1320.65 samples/sec accuracy=0.012383 top_k_accuracy_5=0.046250 | |
| Epoch[0] Batch [700] Speed: 1232.61 samples/sec accuracy=0.014297 top_k_accuracy_5=0.052695 | |
| Epoch[0] Batch [800] Speed: 1230.73 samples/sec accuracy=0.015977 top_k_accuracy_5=0.059062 | |
| Epoch[0] Batch [900] Speed: 1263.02 samples/sec accuracy=0.018281 top_k_accuracy_5=0.065039 | |
| Epoch[0] Batch [1000] Speed: 1268.99 samples/sec accuracy=0.021406 top_k_accuracy_5=0.076172 | |
| Epoch[0] Batch [1100] Speed: 1305.14 samples/sec accuracy=0.023477 top_k_accuracy_5=0.081016 | |
| Epoch[0] Batch [1200] Speed: 1259.84 samples/sec accuracy=0.024961 top_k_accuracy_5=0.086641 | |
| Epoch[0] Batch [1300] Speed: 1263.25 samples/sec accuracy=0.027305 top_k_accuracy_5=0.092539 | |
| Epoch[0] Batch [1400] Speed: 1267.70 samples/sec accuracy=0.029766 top_k_accuracy_5=0.098125 | |
| Epoch[0] Batch [1500] Speed: 1285.57 samples/sec accuracy=0.032031 top_k_accuracy_5=0.104922 | |
| Epoch[0] Batch [1600] Speed: 1329.38 samples/sec accuracy=0.034648 top_k_accuracy_5=0.112148 | |
| Epoch[0] Batch [1700] Speed: 1331.25 samples/sec accuracy=0.040586 top_k_accuracy_5=0.122969 | |
| Epoch[0] Batch [1800] Speed: 1324.84 samples/sec accuracy=0.040508 top_k_accuracy_5=0.129492 | |
| Epoch[0] Batch [1900] Speed: 1326.59 samples/sec accuracy=0.042266 top_k_accuracy_5=0.138320 | |
| Epoch[0] Batch [2000] Speed: 1321.51 samples/sec accuracy=0.045781 top_k_accuracy_5=0.142422 | |
| Epoch[0] Batch [2100] Speed: 1309.76 samples/sec accuracy=0.051641 top_k_accuracy_5=0.151562 | |
| Epoch[0] Batch [2200] Speed: 1304.05 samples/sec accuracy=0.053984 top_k_accuracy_5=0.157305 | |
| Epoch[0] Batch [2300] Speed: 1301.63 samples/sec accuracy=0.058125 top_k_accuracy_5=0.164844 | |
| Epoch[0] Batch [2400] Speed: 1300.50 samples/sec accuracy=0.058789 top_k_accuracy_5=0.170742 | |
| Epoch[0] Batch [2500] Speed: 1297.63 samples/sec accuracy=0.062227 top_k_accuracy_5=0.179844 | |
| Epoch[0] Batch [2600] Speed: 1300.30 samples/sec accuracy=0.064414 top_k_accuracy_5=0.182656 | |
| Epoch[0] Batch [2700] Speed: 1296.74 samples/sec accuracy=0.070312 top_k_accuracy_5=0.194297 | |
| Epoch[0] Batch [2800] Speed: 1302.88 samples/sec accuracy=0.073281 top_k_accuracy_5=0.199687 | |
| Epoch[0] Batch [2900] Speed: 1295.73 samples/sec accuracy=0.077617 top_k_accuracy_5=0.204648 | |
| Epoch[0] Batch [3000] Speed: 1299.75 samples/sec accuracy=0.077266 top_k_accuracy_5=0.206953 | |
| Epoch[0] Batch [3100] Speed: 1291.93 samples/sec accuracy=0.079375 top_k_accuracy_5=0.214961 | |
| Epoch[0] Batch [3200] Speed: 1302.73 samples/sec accuracy=0.088633 top_k_accuracy_5=0.227617 | |
| Epoch[0] Batch [3300] Speed: 1297.49 samples/sec accuracy=0.090391 top_k_accuracy_5=0.231055 | |
| Epoch[0] Batch [3400] Speed: 1296.50 samples/sec accuracy=0.090820 top_k_accuracy_5=0.237109 | |
| Epoch[0] Batch [3500] Speed: 1296.75 samples/sec accuracy=0.096484 top_k_accuracy_5=0.242500 | |
| Epoch[0] Batch [3600] Speed: 1306.22 samples/sec accuracy=0.090469 top_k_accuracy_5=0.244375 | |
| Epoch[0] Batch [3700] Speed: 1287.31 samples/sec accuracy=0.099414 top_k_accuracy_5=0.249258 | |
| Epoch[0] Batch [3800] Speed: 1293.47 samples/sec accuracy=0.102266 top_k_accuracy_5=0.254102 | |
| Epoch[0] Batch [3900] Speed: 1277.66 samples/sec accuracy=0.104297 top_k_accuracy_5=0.258789 | |
| Epoch[0] Batch [4000] Speed: 1298.52 samples/sec accuracy=0.104727 top_k_accuracy_5=0.264062 | |
| Epoch[0] Batch [4100] Speed: 1296.92 samples/sec accuracy=0.111133 top_k_accuracy_5=0.273086 | |
| Epoch[0] Batch [4200] Speed: 1292.43 samples/sec accuracy=0.114062 top_k_accuracy_5=0.273047 | |
| Epoch[0] Batch [4300] Speed: 1297.57 samples/sec accuracy=0.115937 top_k_accuracy_5=0.281445 | |
| Epoch[0] Batch [4400] Speed: 1299.69 samples/sec accuracy=0.116367 top_k_accuracy_5=0.283594 | |
| Epoch[0] Batch [4500] Speed: 1296.09 samples/sec accuracy=0.120977 top_k_accuracy_5=0.291406 | |
| Epoch[0] Batch [4600] Speed: 1298.54 samples/sec accuracy=0.123242 top_k_accuracy_5=0.292656 | |
| Epoch[0] Batch [4700] Speed: 1296.24 samples/sec accuracy=0.124414 top_k_accuracy_5=0.297969 | |
| Epoch[0] Batch [4800] Speed: 1295.20 samples/sec accuracy=0.123945 top_k_accuracy_5=0.301758 | |
| Epoch[0] Batch [4900] Speed: 1305.05 samples/sec accuracy=0.130664 top_k_accuracy_5=0.310273 | |
| Epoch[0] Batch [5000] Speed: 1294.72 samples/sec accuracy=0.130273 top_k_accuracy_5=0.313281 | |
| Epoch[0] Train-accuracy=0.126953 | |
| Epoch[0] Train-top_k_accuracy_5=0.308594 | |
| Epoch[0] Time cost=995.346 | |
| Saved checkpoint to "model/resnet18-0001.params" | |
| Epoch[0] Validation-accuracy=0.130062 | |
| Epoch[0] Validation-top_k_accuracy_5=0.312620 | |
| Epoch[1] Batch [100] Speed: 1290.37 samples/sec accuracy=0.137183 top_k_accuracy_5=0.320429 | |
| Epoch[1] Batch [200] Speed: 1294.50 samples/sec accuracy=0.141836 top_k_accuracy_5=0.324180 | |
| Epoch[1] Batch [300] Speed: 1293.91 samples/sec accuracy=0.139648 top_k_accuracy_5=0.328398 | |
| Epoch[1] Batch [400] Speed: 1296.95 samples/sec accuracy=0.145508 top_k_accuracy_5=0.334453 | |
| Epoch[1] Batch [500] Speed: 1294.87 samples/sec accuracy=0.148555 top_k_accuracy_5=0.337930 | |
| Epoch[1] Batch [600] Speed: 1296.31 samples/sec accuracy=0.148711 top_k_accuracy_5=0.334609 | |
| Epoch[1] Batch [700] Speed: 1291.45 samples/sec accuracy=0.148242 top_k_accuracy_5=0.342734 | |
| Epoch[1] Batch [800] Speed: 1274.81 samples/sec accuracy=0.149102 top_k_accuracy_5=0.338320 | |
| Epoch[1] Batch [900] Speed: 1287.47 samples/sec accuracy=0.154023 top_k_accuracy_5=0.348164 | |
| Epoch[1] Batch [1000] Speed: 1286.88 samples/sec accuracy=0.153125 top_k_accuracy_5=0.347187 | |
| Epoch[1] Batch [1100] Speed: 1276.70 samples/sec accuracy=0.160586 top_k_accuracy_5=0.353398 | |
| Epoch[1] Batch [1200] Speed: 1281.84 samples/sec accuracy=0.161250 top_k_accuracy_5=0.358164 | |
| Epoch[1] Batch [1300] Speed: 1284.03 samples/sec accuracy=0.163398 top_k_accuracy_5=0.359922 | |
| Epoch[1] Batch [1400] Speed: 1289.68 samples/sec accuracy=0.165977 top_k_accuracy_5=0.366484 | |
| Epoch[1] Batch [1500] Speed: 1283.43 samples/sec accuracy=0.170391 top_k_accuracy_5=0.370859 | |
| Epoch[1] Batch [1600] Speed: 1294.43 samples/sec accuracy=0.165859 top_k_accuracy_5=0.364570 | |
| Epoch[1] Batch [1700] Speed: 1286.05 samples/sec accuracy=0.170820 top_k_accuracy_5=0.372383 | |
| Epoch[1] Batch [1800] Speed: 1302.24 samples/sec accuracy=0.173477 top_k_accuracy_5=0.377656 | |
| Epoch[1] Batch [1900] Speed: 1288.62 samples/sec accuracy=0.175586 top_k_accuracy_5=0.378437 | |
| Epoch[1] Batch [2000] Speed: 1304.95 samples/sec accuracy=0.178164 top_k_accuracy_5=0.385352 | |
| Epoch[1] Batch [2100] Speed: 1328.17 samples/sec accuracy=0.174961 top_k_accuracy_5=0.382148 | |
| Epoch[1] Batch [2200] Speed: 1307.58 samples/sec accuracy=0.177500 top_k_accuracy_5=0.382461 | |
| Epoch[1] Batch [2300] Speed: 1324.87 samples/sec accuracy=0.184766 top_k_accuracy_5=0.389141 | |
| Epoch[1] Batch [2400] Speed: 1318.20 samples/sec accuracy=0.183320 top_k_accuracy_5=0.398008 | |
| Epoch[1] Batch [2500] Speed: 1319.54 samples/sec accuracy=0.192070 top_k_accuracy_5=0.397109 | |
| Epoch[1] Batch [2600] Speed: 1299.15 samples/sec accuracy=0.191523 top_k_accuracy_5=0.404648 | |
| Epoch[1] Batch [2700] Speed: 1299.79 samples/sec accuracy=0.187578 top_k_accuracy_5=0.396641 | |
| Epoch[1] Batch [2800] Speed: 1314.02 samples/sec accuracy=0.194297 top_k_accuracy_5=0.404297 | |
| Epoch[1] Batch [2900] Speed: 1304.83 samples/sec accuracy=0.195195 top_k_accuracy_5=0.404258 | |
| Epoch[1] Batch [3000] Speed: 1307.77 samples/sec accuracy=0.187812 top_k_accuracy_5=0.403320 | |
| Epoch[1] Batch [3100] Speed: 1304.45 samples/sec accuracy=0.193711 top_k_accuracy_5=0.409375 | |
| Epoch[1] Batch [3200] Speed: 1302.50 samples/sec accuracy=0.202266 top_k_accuracy_5=0.415195 | |
| Epoch[1] Batch [3300] Speed: 1327.79 samples/sec accuracy=0.197695 top_k_accuracy_5=0.411875 | |
| Epoch[1] Batch [3400] Speed: 1328.81 samples/sec accuracy=0.202070 top_k_accuracy_5=0.419336 | |
| Epoch[1] Batch [3500] Speed: 1329.91 samples/sec accuracy=0.207148 top_k_accuracy_5=0.420234 | |
| Epoch[1] Batch [3600] Speed: 1315.06 samples/sec accuracy=0.199844 top_k_accuracy_5=0.417266 | |
| Epoch[1] Batch [3700] Speed: 1309.63 samples/sec accuracy=0.204453 top_k_accuracy_5=0.426836 | |
| Epoch[1] Batch [3800] Speed: 1305.21 samples/sec accuracy=0.207695 top_k_accuracy_5=0.427344 | |
| Epoch[1] Batch [3900] Speed: 1306.53 samples/sec accuracy=0.206484 top_k_accuracy_5=0.423945 | |
| Epoch[1] Batch [4000] Speed: 1295.19 samples/sec accuracy=0.209336 top_k_accuracy_5=0.429414 | |
| Epoch[1] Batch [4100] Speed: 1293.55 samples/sec accuracy=0.210469 top_k_accuracy_5=0.429063 | |
| Epoch[1] Batch [4200] Speed: 1292.93 samples/sec accuracy=0.212148 top_k_accuracy_5=0.433047 | |
| Epoch[1] Batch [4300] Speed: 1297.51 samples/sec accuracy=0.215625 top_k_accuracy_5=0.433594 | |
| Epoch[1] Batch [4400] Speed: 1298.77 samples/sec accuracy=0.218867 top_k_accuracy_5=0.438164 | |
| Epoch[1] Batch [4500] Speed: 1302.43 samples/sec accuracy=0.217109 top_k_accuracy_5=0.438555 | |
| Epoch[1] Batch [4600] Speed: 1289.93 samples/sec accuracy=0.216211 top_k_accuracy_5=0.440469 | |
| Epoch[1] Batch [4700] Speed: 1303.84 samples/sec accuracy=0.219062 top_k_accuracy_5=0.439766 | |
| Epoch[1] Batch [4800] Speed: 1297.78 samples/sec accuracy=0.222734 top_k_accuracy_5=0.442227 | |
| Epoch[1] Batch [4900] Speed: 1295.93 samples/sec accuracy=0.223438 top_k_accuracy_5=0.446172 | |
| Epoch[1] Batch [5000] Speed: 1293.41 samples/sec accuracy=0.223047 top_k_accuracy_5=0.442891 | |
| Epoch[1] Train-accuracy=0.228516 | |
| Epoch[1] Train-top_k_accuracy_5=0.443359 | |
| Epoch[1] Time cost=985.967 | |
| Saved checkpoint to "model/resnet18-0002.params" | |
| Epoch[1] Validation-accuracy=0.238101 | |
| Epoch[1] Validation-top_k_accuracy_5=0.469111 | |
| Epoch[2] Batch [100] Speed: 1280.33 samples/sec accuracy=0.227027 top_k_accuracy_5=0.453241 | |
| Epoch[2] Batch [200] Speed: 1294.88 samples/sec accuracy=0.225000 top_k_accuracy_5=0.448281 | |
| Epoch[2] Batch [300] Speed: 1282.29 samples/sec accuracy=0.224570 top_k_accuracy_5=0.455117 | |
| Epoch[2] Batch [400] Speed: 1290.24 samples/sec accuracy=0.226250 top_k_accuracy_5=0.450977 | |
| Epoch[2] Batch [500] Speed: 1294.98 samples/sec accuracy=0.230352 top_k_accuracy_5=0.454766 | |
| Epoch[2] Batch [600] Speed: 1283.51 samples/sec accuracy=0.231328 top_k_accuracy_5=0.456602 | |
| Epoch[2] Batch [700] Speed: 1283.15 samples/sec accuracy=0.230430 top_k_accuracy_5=0.455703 | |
| Epoch[2] Batch [800] Speed: 1299.35 samples/sec accuracy=0.230430 top_k_accuracy_5=0.456719 | |
| Epoch[2] Batch [900] Speed: 1278.30 samples/sec accuracy=0.232617 top_k_accuracy_5=0.459648 | |
| Epoch[2] Batch [1000] Speed: 1263.61 samples/sec accuracy=0.230469 top_k_accuracy_5=0.460117 | |
| Epoch[2] Batch [1100] Speed: 1266.58 samples/sec accuracy=0.239648 top_k_accuracy_5=0.467930 | |
| Epoch[2] Batch [1200] Speed: 1267.65 samples/sec accuracy=0.235078 top_k_accuracy_5=0.461445 | |
| Epoch[2] Batch [1300] Speed: 1273.68 samples/sec accuracy=0.236445 top_k_accuracy_5=0.460898 | |
| Epoch[2] Batch [1400] Speed: 1262.62 samples/sec accuracy=0.236719 top_k_accuracy_5=0.465156 | |
| Epoch[2] Batch [1500] Speed: 1280.53 samples/sec accuracy=0.236992 top_k_accuracy_5=0.466016 | |
| Epoch[2] Batch [1600] Speed: 1268.00 samples/sec accuracy=0.236094 top_k_accuracy_5=0.467891 | |
| Epoch[2] Batch [1700] Speed: 1270.87 samples/sec accuracy=0.239492 top_k_accuracy_5=0.470547 | |
| Epoch[2] Batch [1800] Speed: 1275.00 samples/sec accuracy=0.241523 top_k_accuracy_5=0.475664 | |
| Epoch[2] Batch [1900] Speed: 1282.83 samples/sec accuracy=0.246367 top_k_accuracy_5=0.476133 | |
| Epoch[2] Batch [2000] Speed: 1293.92 samples/sec accuracy=0.244180 top_k_accuracy_5=0.469805 | |
| Epoch[2] Batch [2100] Speed: 1291.34 samples/sec accuracy=0.246953 top_k_accuracy_5=0.477773 | |
| Epoch[2] Batch [2200] Speed: 1292.29 samples/sec accuracy=0.247305 top_k_accuracy_5=0.479375 | |
| Epoch[2] Batch [2300] Speed: 1298.82 samples/sec accuracy=0.250391 top_k_accuracy_5=0.479023 | |
| Epoch[2] Batch [2400] Speed: 1296.32 samples/sec accuracy=0.250039 top_k_accuracy_5=0.481211 | |
| Epoch[2] Batch [2500] Speed: 1278.83 samples/sec accuracy=0.252344 top_k_accuracy_5=0.482852 | |
| Epoch[2] Batch [2600] Speed: 1291.87 samples/sec accuracy=0.248906 top_k_accuracy_5=0.482266 | |
| Epoch[2] Batch [2700] Speed: 1305.48 samples/sec accuracy=0.248789 top_k_accuracy_5=0.479805 | |
| Epoch[2] Batch [2800] Speed: 1306.36 samples/sec accuracy=0.252969 top_k_accuracy_5=0.483320 | |
| Epoch[2] Batch [2900] Speed: 1296.81 samples/sec accuracy=0.254141 top_k_accuracy_5=0.484258 | |
| Epoch[2] Batch [3000] Speed: 1287.51 samples/sec accuracy=0.249062 top_k_accuracy_5=0.480977 | |
| Epoch[2] Batch [3100] Speed: 1289.18 samples/sec accuracy=0.251875 top_k_accuracy_5=0.487344 | |
| Epoch[2] Batch [3200] Speed: 1288.59 samples/sec accuracy=0.254844 top_k_accuracy_5=0.488086 | |
| Epoch[2] Batch [3300] Speed: 1300.89 samples/sec accuracy=0.255547 top_k_accuracy_5=0.487266 | |
| Epoch[2] Batch [3400] Speed: 1297.04 samples/sec accuracy=0.256992 top_k_accuracy_5=0.489141 | |
| Epoch[2] Batch [3500] Speed: 1295.91 samples/sec accuracy=0.259648 top_k_accuracy_5=0.495859 | |
| Epoch[2] Batch [3600] Speed: 1296.29 samples/sec accuracy=0.254922 top_k_accuracy_5=0.492695 | |
| Epoch[2] Batch [3700] Speed: 1300.71 samples/sec accuracy=0.260781 top_k_accuracy_5=0.490195 | |
| Epoch[2] Batch [3800] Speed: 1307.51 samples/sec accuracy=0.262656 top_k_accuracy_5=0.493945 | |
| Epoch[2] Batch [3900] Speed: 1305.63 samples/sec accuracy=0.257891 top_k_accuracy_5=0.489844 | |
| Epoch[2] Batch [4000] Speed: 1307.94 samples/sec accuracy=0.264336 top_k_accuracy_5=0.502031 | |
| Epoch[2] Batch [4100] Speed: 1302.34 samples/sec accuracy=0.258984 top_k_accuracy_5=0.491367 | |
| Epoch[2] Batch [4200] Speed: 1305.44 samples/sec accuracy=0.263437 top_k_accuracy_5=0.497578 | |
| Epoch[2] Batch [4300] Speed: 1300.23 samples/sec accuracy=0.265937 top_k_accuracy_5=0.498906 | |
| Epoch[2] Batch [4400] Speed: 1291.54 samples/sec accuracy=0.262227 top_k_accuracy_5=0.502148 | |
| Epoch[2] Batch [4500] Speed: 1287.56 samples/sec accuracy=0.265391 top_k_accuracy_5=0.500820 | |
| Epoch[2] Batch [4600] Speed: 1297.76 samples/sec accuracy=0.263555 top_k_accuracy_5=0.495430 | |
| Epoch[2] Batch [4700] Speed: 1293.07 samples/sec accuracy=0.265820 top_k_accuracy_5=0.501484 | |
| Epoch[2] Batch [4800] Speed: 1283.59 samples/sec accuracy=0.267500 top_k_accuracy_5=0.501133 | |
| Epoch[2] Batch [4900] Speed: 1306.48 samples/sec accuracy=0.273281 top_k_accuracy_5=0.509570 | |
| Epoch[2] Batch [5000] Speed: 1304.30 samples/sec accuracy=0.263906 top_k_accuracy_5=0.500508 | |
| Epoch[2] Train-accuracy=0.264323 | |
| Epoch[2] Train-top_k_accuracy_5=0.473958 | |
| Epoch[2] Time cost=993.645 | |
| Saved checkpoint to "model/resnet18-0003.params" | |
| Epoch[2] Validation-accuracy=0.274399 | |
| Epoch[2] Validation-top_k_accuracy_5=0.517087 | |
| Epoch[3] Batch [100] Speed: 1299.39 samples/sec accuracy=0.272161 top_k_accuracy_5=0.507348 | |
| Epoch[3] Batch [200] Speed: 1300.60 samples/sec accuracy=0.269375 top_k_accuracy_5=0.504531 | |
| Epoch[3] Batch [300] Speed: 1314.18 samples/sec accuracy=0.265469 top_k_accuracy_5=0.505938 | |
| Epoch[3] Batch [400] Speed: 1298.31 samples/sec accuracy=0.272500 top_k_accuracy_5=0.508945 | |
| Epoch[3] Batch [500] Speed: 1312.28 samples/sec accuracy=0.272031 top_k_accuracy_5=0.509023 | |
| Epoch[3] Batch [600] Speed: 1308.36 samples/sec accuracy=0.272305 top_k_accuracy_5=0.505625 | |
| Epoch[3] Batch [700] Speed: 1312.36 samples/sec accuracy=0.273164 top_k_accuracy_5=0.508086 | |
| Epoch[3] Batch [800] Speed: 1310.55 samples/sec accuracy=0.270117 top_k_accuracy_5=0.509336 | |
| Epoch[3] Batch [900] Speed: 1319.69 samples/sec accuracy=0.273711 top_k_accuracy_5=0.512969 | |
| Epoch[3] Batch [1000] Speed: 1301.03 samples/sec accuracy=0.272500 top_k_accuracy_5=0.510586 | |
| Epoch[3] Batch [1100] Speed: 1303.40 samples/sec accuracy=0.277695 top_k_accuracy_5=0.516016 | |
| Epoch[3] Batch [1200] Speed: 1296.90 samples/sec accuracy=0.277187 top_k_accuracy_5=0.515000 | |
| Epoch[3] Batch [1300] Speed: 1314.33 samples/sec accuracy=0.277227 top_k_accuracy_5=0.511484 | |
| Epoch[3] Batch [1400] Speed: 1299.68 samples/sec accuracy=0.278398 top_k_accuracy_5=0.516445 | |
| Epoch[3] Batch [1500] Speed: 1304.68 samples/sec accuracy=0.274570 top_k_accuracy_5=0.512930 | |
| Epoch[3] Batch [1600] Speed: 1312.28 samples/sec accuracy=0.275977 top_k_accuracy_5=0.513633 | |
| Epoch[3] Batch [1700] Speed: 1315.53 samples/sec accuracy=0.280000 top_k_accuracy_5=0.517070 | |
| Epoch[3] Batch [1800] Speed: 1316.05 samples/sec accuracy=0.278164 top_k_accuracy_5=0.517461 | |
| Epoch[3] Batch [1900] Speed: 1297.78 samples/sec accuracy=0.278945 top_k_accuracy_5=0.516836 | |
| Epoch[3] Batch [2000] Speed: 1304.35 samples/sec accuracy=0.278828 top_k_accuracy_5=0.516367 | |
| Epoch[3] Batch [2100] Speed: 1301.91 samples/sec accuracy=0.282070 top_k_accuracy_5=0.519531 | |
| Epoch[3] Batch [2200] Speed: 1300.26 samples/sec accuracy=0.280430 top_k_accuracy_5=0.518984 | |
| Epoch[3] Batch [2300] Speed: 1311.83 samples/sec accuracy=0.283398 top_k_accuracy_5=0.520000 | |
| Epoch[3] Batch [2400] Speed: 1307.35 samples/sec accuracy=0.280039 top_k_accuracy_5=0.519023 | |
| Epoch[3] Batch [2500] Speed: 1313.80 samples/sec accuracy=0.284336 top_k_accuracy_5=0.518125 | |
| Epoch[3] Batch [2600] Speed: 1331.57 samples/sec accuracy=0.283008 top_k_accuracy_5=0.520430 | |
| Epoch[3] Batch [2700] Speed: 1319.16 samples/sec accuracy=0.282187 top_k_accuracy_5=0.516172 | |
| Epoch[3] Batch [2800] Speed: 1317.58 samples/sec accuracy=0.288867 top_k_accuracy_5=0.525781 | |
| Epoch[3] Batch [2900] Speed: 1319.22 samples/sec accuracy=0.285117 top_k_accuracy_5=0.518984 | |
| Epoch[3] Batch [3000] Speed: 1307.98 samples/sec accuracy=0.283984 top_k_accuracy_5=0.518281 | |
| Epoch[3] Batch [3100] Speed: 1310.20 samples/sec accuracy=0.285273 top_k_accuracy_5=0.524023 | |
| Epoch[3] Batch [3200] Speed: 1301.13 samples/sec accuracy=0.287656 top_k_accuracy_5=0.522500 | |
| Epoch[3] Batch [3300] Speed: 1289.02 samples/sec accuracy=0.288281 top_k_accuracy_5=0.528711 | |
| Epoch[3] Batch [3400] Speed: 1291.38 samples/sec accuracy=0.289531 top_k_accuracy_5=0.524766 | |
| Epoch[3] Batch [3500] Speed: 1280.81 samples/sec accuracy=0.293359 top_k_accuracy_5=0.533828 | |
| Epoch[3] Batch [3600] Speed: 1287.29 samples/sec accuracy=0.288320 top_k_accuracy_5=0.527930 | |
| Epoch[3] Batch [3700] Speed: 1288.06 samples/sec accuracy=0.287578 top_k_accuracy_5=0.529414 | |
| Epoch[3] Batch [3800] Speed: 1290.34 samples/sec accuracy=0.289570 top_k_accuracy_5=0.526563 | |
| Epoch[3] Batch [3900] Speed: 1286.21 samples/sec accuracy=0.286250 top_k_accuracy_5=0.523594 | |
| Epoch[3] Batch [4000] Speed: 1310.33 samples/sec accuracy=0.292266 top_k_accuracy_5=0.535977 | |
| Epoch[3] Batch [4100] Speed: 1295.59 samples/sec accuracy=0.289062 top_k_accuracy_5=0.531016 | |
| Epoch[3] Batch [4200] Speed: 1306.58 samples/sec accuracy=0.289922 top_k_accuracy_5=0.531914 | |
| Epoch[3] Batch [4300] Speed: 1306.96 samples/sec accuracy=0.293594 top_k_accuracy_5=0.533516 | |
| Epoch[3] Batch [4400] Speed: 1299.63 samples/sec accuracy=0.290664 top_k_accuracy_5=0.533516 | |
| Epoch[3] Batch [4500] Speed: 1304.17 samples/sec accuracy=0.292109 top_k_accuracy_5=0.533203 | |
| Epoch[3] Batch [4600] Speed: 1303.45 samples/sec accuracy=0.290898 top_k_accuracy_5=0.531289 | |
| Epoch[3] Batch [4700] Speed: 1300.71 samples/sec accuracy=0.292930 top_k_accuracy_5=0.531133 | |
| Epoch[3] Batch [4800] Speed: 1287.72 samples/sec accuracy=0.290781 top_k_accuracy_5=0.529922 | |
| Epoch[3] Batch [4900] Speed: 1294.23 samples/sec accuracy=0.295703 top_k_accuracy_5=0.533828 | |
| Epoch[3] Batch [5000] Speed: 1289.57 samples/sec accuracy=0.297734 top_k_accuracy_5=0.534687 | |
| Epoch[3] Train-accuracy=0.273438 | |
| Epoch[3] Train-top_k_accuracy_5=0.540039 | |
| Epoch[3] Time cost=983.145 | |
| Saved checkpoint to "model/resnet18-0004.params" | |
| Epoch[3] Validation-accuracy=0.310069 | |
| Epoch[3] Validation-top_k_accuracy_5=0.561224 | |
| Epoch[4] Batch [100] Speed: 1285.89 samples/sec accuracy=0.295367 top_k_accuracy_5=0.532526 | |
| Epoch[4] Batch [200] Speed: 1301.66 samples/sec accuracy=0.293672 top_k_accuracy_5=0.537305 | |
| Epoch[4] Batch [300] Speed: 1304.81 samples/sec accuracy=0.296758 top_k_accuracy_5=0.536758 | |
| Epoch[4] Batch [400] Speed: 1297.05 samples/sec accuracy=0.295078 top_k_accuracy_5=0.532539 | |
| Epoch[4] Batch [500] Speed: 1298.80 samples/sec accuracy=0.298828 top_k_accuracy_5=0.536836 | |
| Epoch[4] Batch [600] Speed: 1311.06 samples/sec accuracy=0.295625 top_k_accuracy_5=0.539414 | |
| Epoch[4] Batch [700] Speed: 1308.93 samples/sec accuracy=0.299063 top_k_accuracy_5=0.540703 | |
| Epoch[4] Batch [800] Speed: 1303.15 samples/sec accuracy=0.298047 top_k_accuracy_5=0.533008 | |
| Epoch[4] Batch [900] Speed: 1304.17 samples/sec accuracy=0.296523 top_k_accuracy_5=0.536133 | |
| Epoch[4] Batch [1000] Speed: 1304.36 samples/sec accuracy=0.295508 top_k_accuracy_5=0.538203 | |
| Epoch[4] Batch [1100] Speed: 1302.34 samples/sec accuracy=0.304688 top_k_accuracy_5=0.547734 | |
| Epoch[4] Batch [1200] Speed: 1329.94 samples/sec accuracy=0.300938 top_k_accuracy_5=0.541367 | |
| Epoch[4] Batch [1300] Speed: 1326.36 samples/sec accuracy=0.301602 top_k_accuracy_5=0.535547 | |
| Epoch[4] Batch [1400] Speed: 1337.60 samples/sec accuracy=0.300586 top_k_accuracy_5=0.542422 | |
| Epoch[4] Batch [1500] Speed: 1313.78 samples/sec accuracy=0.301992 top_k_accuracy_5=0.542500 | |
| Epoch[4] Batch [1600] Speed: 1316.73 samples/sec accuracy=0.295234 top_k_accuracy_5=0.539453 | |
| Epoch[4] Batch [1700] Speed: 1322.20 samples/sec accuracy=0.300977 top_k_accuracy_5=0.545352 | |
| Epoch[4] Batch [1800] Speed: 1305.98 samples/sec accuracy=0.299805 top_k_accuracy_5=0.541602 | |
| Epoch[4] Batch [1900] Speed: 1300.43 samples/sec accuracy=0.301758 top_k_accuracy_5=0.545703 | |
| Epoch[4] Batch [2000] Speed: 1301.77 samples/sec accuracy=0.303906 top_k_accuracy_5=0.544453 | |
| Epoch[4] Batch [2100] Speed: 1291.08 samples/sec accuracy=0.303242 top_k_accuracy_5=0.543477 | |
| Epoch[4] Batch [2200] Speed: 1303.78 samples/sec accuracy=0.299805 top_k_accuracy_5=0.540078 | |
| Epoch[4] Batch [2300] Speed: 1290.01 samples/sec accuracy=0.296094 top_k_accuracy_5=0.538477 | |
| Epoch[4] Batch [2400] Speed: 1288.12 samples/sec accuracy=0.304414 top_k_accuracy_5=0.546523 | |
| Epoch[4] Batch [2500] Speed: 1303.52 samples/sec accuracy=0.305508 top_k_accuracy_5=0.541055 | |
| Epoch[4] Batch [2600] Speed: 1292.29 samples/sec accuracy=0.303789 top_k_accuracy_5=0.546211 | |
| Epoch[4] Batch [2700] Speed: 1293.36 samples/sec accuracy=0.305469 top_k_accuracy_5=0.548203 | |
| Epoch[4] Batch [2800] Speed: 1293.99 samples/sec accuracy=0.309492 top_k_accuracy_5=0.548086 | |
| Epoch[4] Batch [2900] Speed: 1291.56 samples/sec accuracy=0.309883 top_k_accuracy_5=0.544609 | |
| Epoch[4] Batch [3000] Speed: 1297.31 samples/sec accuracy=0.298789 top_k_accuracy_5=0.546914 | |
| Epoch[4] Batch [3100] Speed: 1300.67 samples/sec accuracy=0.300742 top_k_accuracy_5=0.541094 | |
| Epoch[4] Batch [3200] Speed: 1302.78 samples/sec accuracy=0.311406 top_k_accuracy_5=0.549687 | |
| Epoch[4] Batch [3300] Speed: 1300.18 samples/sec accuracy=0.308828 top_k_accuracy_5=0.543711 | |
| Epoch[4] Batch [3400] Speed: 1312.11 samples/sec accuracy=0.305117 top_k_accuracy_5=0.547070 | |
| Epoch[4] Batch [3500] Speed: 1293.74 samples/sec accuracy=0.313555 top_k_accuracy_5=0.551289 | |
| Epoch[4] Batch [3600] Speed: 1301.45 samples/sec accuracy=0.310703 top_k_accuracy_5=0.549531 | |
| Epoch[4] Batch [3700] Speed: 1301.25 samples/sec accuracy=0.305820 top_k_accuracy_5=0.546406 | |
| Epoch[4] Batch [3800] Speed: 1295.66 samples/sec accuracy=0.306641 top_k_accuracy_5=0.550469 | |
| Epoch[4] Batch [3900] Speed: 1286.46 samples/sec accuracy=0.304961 top_k_accuracy_5=0.546758 | |
| Epoch[4] Batch [4000] Speed: 1296.05 samples/sec accuracy=0.310547 top_k_accuracy_5=0.548984 | |
| Epoch[4] Batch [4100] Speed: 1287.24 samples/sec accuracy=0.301914 top_k_accuracy_5=0.544141 | |
| Epoch[4] Batch [4200] Speed: 1292.31 samples/sec accuracy=0.309570 top_k_accuracy_5=0.547148 | |
| Epoch[4] Batch [4300] Speed: 1304.22 samples/sec accuracy=0.306875 top_k_accuracy_5=0.549219 | |
| Epoch[4] Batch [4400] Speed: 1308.88 samples/sec accuracy=0.304219 top_k_accuracy_5=0.549570 | |
| Epoch[4] Batch [4500] Speed: 1309.59 samples/sec accuracy=0.308242 top_k_accuracy_5=0.552656 | |
| Epoch[4] Batch [4600] Speed: 1324.24 samples/sec accuracy=0.314063 top_k_accuracy_5=0.555937 | |
| Epoch[4] Batch [4700] Speed: 1315.80 samples/sec accuracy=0.307188 top_k_accuracy_5=0.548828 | |
| Epoch[4] Batch [4800] Speed: 1309.52 samples/sec accuracy=0.309805 top_k_accuracy_5=0.551211 | |
| Epoch[4] Batch [4900] Speed: 1303.03 samples/sec accuracy=0.313047 top_k_accuracy_5=0.555312 | |
| Epoch[4] Batch [5000] Speed: 1296.85 samples/sec accuracy=0.309102 top_k_accuracy_5=0.551016 | |
| Epoch[4] Train-accuracy=0.316406 | |
| Epoch[4] Train-top_k_accuracy_5=0.549479 | |
| Epoch[4] Time cost=983.316 | |
| Saved checkpoint to "model/resnet18-0005.params" | |
| Epoch[4] Validation-accuracy=0.319752 | |
| Epoch[4] Validation-top_k_accuracy_5=0.571234 | |
| Epoch[5] Batch [100] Speed: 1298.36 samples/sec accuracy=0.313931 top_k_accuracy_5=0.558671 | |
| Epoch[5] Batch [200] Speed: 1308.10 samples/sec accuracy=0.309063 top_k_accuracy_5=0.550625 | |
| Epoch[5] Batch [300] Speed: 1296.46 samples/sec accuracy=0.310195 top_k_accuracy_5=0.555937 | |
| Epoch[5] Batch [400] Speed: 1305.19 samples/sec accuracy=0.309609 top_k_accuracy_5=0.551562 | |
| Epoch[5] Batch [500] Speed: 1315.47 samples/sec accuracy=0.314766 top_k_accuracy_5=0.555273 | |
| Epoch[5] Batch [600] Speed: 1313.45 samples/sec accuracy=0.315000 top_k_accuracy_5=0.558047 | |
| Epoch[5] Batch [700] Speed: 1298.78 samples/sec accuracy=0.313555 top_k_accuracy_5=0.551367 | |
| Epoch[5] Batch [800] Speed: 1306.21 samples/sec accuracy=0.308828 top_k_accuracy_5=0.553477 | |
| Epoch[5] Batch [900] Speed: 1308.29 samples/sec accuracy=0.314063 top_k_accuracy_5=0.558359 | |
| Epoch[5] Batch [1000] Speed: 1310.86 samples/sec accuracy=0.313750 top_k_accuracy_5=0.554609 | |
| Epoch[5] Batch [1100] Speed: 1310.56 samples/sec accuracy=0.313906 top_k_accuracy_5=0.555937 | |
| Epoch[5] Batch [1200] Speed: 1310.53 samples/sec accuracy=0.311875 top_k_accuracy_5=0.554414 | |
| Epoch[5] Batch [1300] Speed: 1305.17 samples/sec accuracy=0.312109 top_k_accuracy_5=0.554609 | |
| Epoch[5] Batch [1400] Speed: 1303.34 samples/sec accuracy=0.318320 top_k_accuracy_5=0.557500 | |
| Epoch[5] Batch [1500] Speed: 1297.75 samples/sec accuracy=0.314531 top_k_accuracy_5=0.556055 | |
| Epoch[5] Batch [1600] Speed: 1314.73 samples/sec accuracy=0.312266 top_k_accuracy_5=0.555117 | |
| Epoch[5] Batch [1700] Speed: 1311.01 samples/sec accuracy=0.311523 top_k_accuracy_5=0.556797 | |
| Epoch[5] Batch [1800] Speed: 1299.79 samples/sec accuracy=0.316602 top_k_accuracy_5=0.557852 | |
| Epoch[5] Batch [1900] Speed: 1316.94 samples/sec accuracy=0.311250 top_k_accuracy_5=0.553320 | |
| Epoch[5] Batch [2000] Speed: 1311.23 samples/sec accuracy=0.317031 top_k_accuracy_5=0.557734 | |
| Epoch[5] Batch [2100] Speed: 1297.23 samples/sec accuracy=0.312891 top_k_accuracy_5=0.557734 | |
| Epoch[5] Batch [2200] Speed: 1302.50 samples/sec accuracy=0.316406 top_k_accuracy_5=0.555586 | |
| Epoch[5] Batch [2300] Speed: 1301.77 samples/sec accuracy=0.314102 top_k_accuracy_5=0.554883 | |
| Epoch[5] Batch [2400] Speed: 1318.77 samples/sec accuracy=0.316875 top_k_accuracy_5=0.563359 | |
| Epoch[5] Batch [2500] Speed: 1311.43 samples/sec accuracy=0.318047 top_k_accuracy_5=0.560742 | |
| Epoch[5] Batch [2600] Speed: 1310.28 samples/sec accuracy=0.315977 top_k_accuracy_5=0.559219 | |
| Epoch[5] Batch [2700] Speed: 1312.57 samples/sec accuracy=0.315781 top_k_accuracy_5=0.555977 | |
| Epoch[5] Batch [2800] Speed: 1309.97 samples/sec accuracy=0.320352 top_k_accuracy_5=0.566914 | |
| Epoch[5] Batch [2900] Speed: 1300.18 samples/sec accuracy=0.322266 top_k_accuracy_5=0.562852 | |
| Epoch[5] Batch [3000] Speed: 1295.03 samples/sec accuracy=0.311836 top_k_accuracy_5=0.557383 | |
| Epoch[5] Batch [3100] Speed: 1295.91 samples/sec accuracy=0.313711 top_k_accuracy_5=0.557578 | |
| Epoch[5] Batch [3200] Speed: 1295.56 samples/sec accuracy=0.319844 top_k_accuracy_5=0.566250 | |
| Epoch[5] Batch [3300] Speed: 1294.79 samples/sec accuracy=0.320078 top_k_accuracy_5=0.559883 | |
| Epoch[5] Batch [3400] Speed: 1311.43 samples/sec accuracy=0.323945 top_k_accuracy_5=0.565547 | |
| Epoch[5] Batch [3500] Speed: 1298.60 samples/sec accuracy=0.319180 top_k_accuracy_5=0.560703 | |
| Epoch[5] Batch [3600] Speed: 1297.94 samples/sec accuracy=0.317031 top_k_accuracy_5=0.560273 | |
| Epoch[5] Batch [3700] Speed: 1306.69 samples/sec accuracy=0.317930 top_k_accuracy_5=0.560664 | |
| Epoch[5] Batch [3800] Speed: 1307.40 samples/sec accuracy=0.328242 top_k_accuracy_5=0.566172 | |
| Epoch[5] Batch [3900] Speed: 1309.81 samples/sec accuracy=0.316133 top_k_accuracy_5=0.557852 | |
| Epoch[5] Batch [4000] Speed: 1320.74 samples/sec accuracy=0.318320 top_k_accuracy_5=0.563164 | |
| Epoch[5] Batch [4100] Speed: 1311.49 samples/sec accuracy=0.314531 top_k_accuracy_5=0.558164 | |
| Epoch[5] Batch [4200] Speed: 1313.47 samples/sec accuracy=0.321641 top_k_accuracy_5=0.563047 | |
| Epoch[5] Batch [4300] Speed: 1355.09 samples/sec accuracy=0.321719 top_k_accuracy_5=0.561758 | |
| Epoch[5] Batch [4400] Speed: 1325.19 samples/sec accuracy=0.321250 top_k_accuracy_5=0.560977 | |
| Epoch[5] Batch [4500] Speed: 1319.34 samples/sec accuracy=0.324766 top_k_accuracy_5=0.568477 | |
| Epoch[5] Batch [4600] Speed: 1297.33 samples/sec accuracy=0.319961 top_k_accuracy_5=0.559609 | |
| Epoch[5] Batch [4700] Speed: 1286.71 samples/sec accuracy=0.323008 top_k_accuracy_5=0.565078 | |
| Epoch[5] Batch [4800] Speed: 1283.79 samples/sec accuracy=0.320625 top_k_accuracy_5=0.559219 | |
| Epoch[5] Batch [4900] Speed: 1285.83 samples/sec accuracy=0.327148 top_k_accuracy_5=0.568359 | |
| Epoch[5] Batch [5000] Speed: 1268.54 samples/sec accuracy=0.319258 top_k_accuracy_5=0.561562 | |
| Epoch[5] Train-accuracy=0.328125 | |
| Epoch[5] Train-top_k_accuracy_5=0.574219 | |
| Epoch[5] Time cost=981.758 | |
| Saved checkpoint to "model/resnet18-0006.params" | |
| Epoch[5] Validation-accuracy=0.330469 | |
| Epoch[5] Validation-top_k_accuracy_5=0.583994 | |
| Epoch[6] Batch [100] Speed: 1281.91 samples/sec accuracy=0.319964 top_k_accuracy_5=0.562964 | |
| Epoch[6] Batch [200] Speed: 1289.66 samples/sec accuracy=0.323594 top_k_accuracy_5=0.565703 | |
| Epoch[6] Batch [300] Speed: 1303.07 samples/sec accuracy=0.316094 top_k_accuracy_5=0.565039 | |
| Epoch[6] Batch [400] Speed: 1303.51 samples/sec accuracy=0.324688 top_k_accuracy_5=0.564102 | |
| Epoch[6] Batch [500] Speed: 1294.98 samples/sec accuracy=0.324570 top_k_accuracy_5=0.568477 | |
| Epoch[6] Batch [600] Speed: 1289.02 samples/sec accuracy=0.320547 top_k_accuracy_5=0.561992 | |
| Epoch[6] Batch [700] Speed: 1283.00 samples/sec accuracy=0.321836 top_k_accuracy_5=0.564531 | |
| Epoch[6] Batch [800] Speed: 1279.92 samples/sec accuracy=0.320234 top_k_accuracy_5=0.559141 | |
| Epoch[6] Batch [900] Speed: 1282.26 samples/sec accuracy=0.324180 top_k_accuracy_5=0.565586 | |
| Epoch[6] Batch [1000] Speed: 1266.84 samples/sec accuracy=0.326523 top_k_accuracy_5=0.570039 | |
| Epoch[6] Batch [1100] Speed: 1277.41 samples/sec accuracy=0.325273 top_k_accuracy_5=0.569648 | |
| Epoch[6] Batch [1200] Speed: 1279.92 samples/sec accuracy=0.325508 top_k_accuracy_5=0.565039 | |
| Epoch[6] Batch [1300] Speed: 1286.88 samples/sec accuracy=0.323672 top_k_accuracy_5=0.563984 | |
| Epoch[6] Batch [1400] Speed: 1272.33 samples/sec accuracy=0.326836 top_k_accuracy_5=0.569648 | |
| Epoch[6] Batch [1500] Speed: 1277.76 samples/sec accuracy=0.321953 top_k_accuracy_5=0.566367 | |
| Epoch[6] Batch [1600] Speed: 1284.38 samples/sec accuracy=0.323047 top_k_accuracy_5=0.564336 | |
| Epoch[6] Batch [1700] Speed: 1277.48 samples/sec accuracy=0.328047 top_k_accuracy_5=0.569531 | |
| Epoch[6] Batch [1800] Speed: 1278.42 samples/sec accuracy=0.322266 top_k_accuracy_5=0.566133 | |
| Epoch[6] Batch [1900] Speed: 1274.40 samples/sec accuracy=0.328203 top_k_accuracy_5=0.571055 | |
| Epoch[6] Batch [2000] Speed: 1286.57 samples/sec accuracy=0.325937 top_k_accuracy_5=0.567422 | |
| Epoch[6] Batch [2100] Speed: 1286.57 samples/sec accuracy=0.325469 top_k_accuracy_5=0.567813 | |
| Epoch[6] Batch [2200] Speed: 1273.97 samples/sec accuracy=0.325156 top_k_accuracy_5=0.567109 | |
| Epoch[6] Batch [2300] Speed: 1281.25 samples/sec accuracy=0.322266 top_k_accuracy_5=0.564297 | |
| Epoch[6] Batch [2400] Speed: 1275.78 samples/sec accuracy=0.330703 top_k_accuracy_5=0.571367 | |
| Epoch[6] Batch [2500] Speed: 1285.11 samples/sec accuracy=0.326289 top_k_accuracy_5=0.568438 | |
| Epoch[6] Batch [2600] Speed: 1285.12 samples/sec accuracy=0.326836 top_k_accuracy_5=0.572227 | |
| Epoch[6] Batch [2700] Speed: 1282.02 samples/sec accuracy=0.322422 top_k_accuracy_5=0.569961 | |
| Epoch[6] Batch [2800] Speed: 1287.22 samples/sec accuracy=0.328906 top_k_accuracy_5=0.574531 | |
| Epoch[6] Batch [2900] Speed: 1279.54 samples/sec accuracy=0.331562 top_k_accuracy_5=0.569961 | |
| Epoch[6] Batch [3000] Speed: 1279.61 samples/sec accuracy=0.319922 top_k_accuracy_5=0.563320 | |
| Epoch[6] Batch [3100] Speed: 1286.10 samples/sec accuracy=0.325078 top_k_accuracy_5=0.566719 | |
| Epoch[6] Batch [3200] Speed: 1281.80 samples/sec accuracy=0.329883 top_k_accuracy_5=0.573047 | |
| Epoch[6] Batch [3300] Speed: 1293.59 samples/sec accuracy=0.331016 top_k_accuracy_5=0.569531 | |
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| Epoch[6] Batch [3600] Speed: 1296.06 samples/sec accuracy=0.322891 top_k_accuracy_5=0.566680 | |
| Epoch[6] Batch [3700] Speed: 1289.38 samples/sec accuracy=0.327969 top_k_accuracy_5=0.571641 | |
| Epoch[6] Batch [3800] Speed: 1287.99 samples/sec accuracy=0.327734 top_k_accuracy_5=0.573672 | |
| Epoch[6] Batch [3900] Speed: 1283.48 samples/sec accuracy=0.323437 top_k_accuracy_5=0.568750 | |
| Epoch[6] Batch [4000] Speed: 1306.36 samples/sec accuracy=0.331133 top_k_accuracy_5=0.576250 | |
| Epoch[6] Batch [4100] Speed: 1317.20 samples/sec accuracy=0.333281 top_k_accuracy_5=0.574609 | |
| Epoch[6] Batch [4200] Speed: 1312.39 samples/sec accuracy=0.329102 top_k_accuracy_5=0.573789 | |
| Epoch[6] Batch [4300] Speed: 1300.61 samples/sec accuracy=0.331406 top_k_accuracy_5=0.572109 | |
| Epoch[6] Batch [4400] Speed: 1296.50 samples/sec accuracy=0.328633 top_k_accuracy_5=0.572148 | |
| Epoch[6] Batch [4500] Speed: 1295.27 samples/sec accuracy=0.328945 top_k_accuracy_5=0.567734 | |
| Epoch[6] Batch [4600] Speed: 1292.65 samples/sec accuracy=0.326875 top_k_accuracy_5=0.573984 | |
| Epoch[6] Batch [4700] Speed: 1287.44 samples/sec accuracy=0.326562 top_k_accuracy_5=0.568398 | |
| Epoch[6] Batch [4800] Speed: 1284.14 samples/sec accuracy=0.326289 top_k_accuracy_5=0.570156 | |
| Epoch[6] Batch [4900] Speed: 1283.20 samples/sec accuracy=0.333984 top_k_accuracy_5=0.580703 | |
| Epoch[6] Batch [5000] Speed: 1273.89 samples/sec accuracy=0.324570 top_k_accuracy_5=0.567656 | |
| Epoch[6] Train-accuracy=0.338542 | |
| Epoch[6] Train-top_k_accuracy_5=0.569010 | |
| Epoch[6] Time cost=996.254 | |
| Saved checkpoint to "model/resnet18-0007.params" | |
| Epoch[6] Validation-accuracy=0.343232 | |
| Epoch[6] Validation-top_k_accuracy_5=0.595484 | |
| Epoch[7] Batch [100] Speed: 1280.06 samples/sec accuracy=0.330330 top_k_accuracy_5=0.579247 | |
| Epoch[7] Batch [200] Speed: 1281.14 samples/sec accuracy=0.330703 top_k_accuracy_5=0.573711 | |
| Epoch[7] Batch [300] Speed: 1282.42 samples/sec accuracy=0.331797 top_k_accuracy_5=0.577656 | |
| Epoch[7] Batch [400] Speed: 1298.46 samples/sec accuracy=0.328008 top_k_accuracy_5=0.571836 | |
| Epoch[7] Batch [500] Speed: 1295.87 samples/sec accuracy=0.335391 top_k_accuracy_5=0.573750 | |
| Epoch[7] Batch [600] Speed: 1297.95 samples/sec accuracy=0.326211 top_k_accuracy_5=0.571133 | |
| Epoch[7] Batch [700] Speed: 1294.56 samples/sec accuracy=0.331445 top_k_accuracy_5=0.570312 | |
| Epoch[7] Batch [800] Speed: 1292.60 samples/sec accuracy=0.327344 top_k_accuracy_5=0.568750 | |
| Epoch[7] Batch [900] Speed: 1297.96 samples/sec accuracy=0.333633 top_k_accuracy_5=0.575195 | |
| Epoch[7] Batch [1000] Speed: 1293.51 samples/sec accuracy=0.332188 top_k_accuracy_5=0.577227 | |
| Epoch[7] Batch [1100] Speed: 1296.58 samples/sec accuracy=0.335586 top_k_accuracy_5=0.579727 | |
| Epoch[7] Batch [1200] Speed: 1300.86 samples/sec accuracy=0.333086 top_k_accuracy_5=0.574609 | |
| Epoch[7] Batch [1300] Speed: 1308.78 samples/sec accuracy=0.329023 top_k_accuracy_5=0.572187 | |
| Epoch[7] Batch [1400] Speed: 1304.36 samples/sec accuracy=0.330000 top_k_accuracy_5=0.571289 | |
| Epoch[7] Batch [1500] Speed: 1307.60 samples/sec accuracy=0.334336 top_k_accuracy_5=0.573359 | |
| Epoch[7] Batch [1600] Speed: 1298.07 samples/sec accuracy=0.326484 top_k_accuracy_5=0.570352 | |
| Epoch[7] Batch [1700] Speed: 1308.25 samples/sec accuracy=0.330664 top_k_accuracy_5=0.578125 | |
| Epoch[7] Batch [1800] Speed: 1309.62 samples/sec accuracy=0.327930 top_k_accuracy_5=0.574297 | |
| Epoch[7] Batch [1900] Speed: 1297.12 samples/sec accuracy=0.332422 top_k_accuracy_5=0.576055 | |
| Epoch[7] Batch [2000] Speed: 1302.34 samples/sec accuracy=0.330859 top_k_accuracy_5=0.577383 | |
| Epoch[7] Batch [2100] Speed: 1294.92 samples/sec accuracy=0.332578 top_k_accuracy_5=0.570195 | |
| Epoch[7] Batch [2200] Speed: 1293.81 samples/sec accuracy=0.329375 top_k_accuracy_5=0.570820 | |
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| Epoch[7] Batch [2400] Speed: 1297.64 samples/sec accuracy=0.329961 top_k_accuracy_5=0.573594 | |
| Epoch[7] Batch [2500] Speed: 1294.32 samples/sec accuracy=0.331055 top_k_accuracy_5=0.577305 | |
| Epoch[7] Batch [2600] Speed: 1306.74 samples/sec accuracy=0.330937 top_k_accuracy_5=0.573594 | |
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| Epoch[7] Batch [2800] Speed: 1304.24 samples/sec accuracy=0.336211 top_k_accuracy_5=0.580703 | |
| Epoch[7] Batch [2900] Speed: 1300.20 samples/sec accuracy=0.335703 top_k_accuracy_5=0.580742 | |
| Epoch[7] Batch [3000] Speed: 1310.34 samples/sec accuracy=0.328164 top_k_accuracy_5=0.571875 | |
| Epoch[7] Batch [3100] Speed: 1298.44 samples/sec accuracy=0.328828 top_k_accuracy_5=0.574453 | |
| Epoch[7] Batch [3200] Speed: 1302.04 samples/sec accuracy=0.333789 top_k_accuracy_5=0.581641 | |
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| Epoch[7] Batch [3500] Speed: 1303.31 samples/sec accuracy=0.336484 top_k_accuracy_5=0.580469 | |
| Epoch[7] Batch [3600] Speed: 1307.05 samples/sec accuracy=0.330469 top_k_accuracy_5=0.575430 | |
| Epoch[7] Batch [3700] Speed: 1312.81 samples/sec accuracy=0.337383 top_k_accuracy_5=0.578359 | |
| Epoch[7] Batch [3800] Speed: 1319.95 samples/sec accuracy=0.342187 top_k_accuracy_5=0.578984 | |
| Epoch[7] Batch [3900] Speed: 1289.30 samples/sec accuracy=0.327344 top_k_accuracy_5=0.570547 | |
| Epoch[7] Batch [4000] Speed: 1296.25 samples/sec accuracy=0.339141 top_k_accuracy_5=0.583203 | |
| Epoch[7] Batch [4100] Speed: 1294.80 samples/sec accuracy=0.326094 top_k_accuracy_5=0.574883 | |
| Epoch[7] Batch [4200] Speed: 1289.20 samples/sec accuracy=0.337461 top_k_accuracy_5=0.578633 | |
| Epoch[7] Batch [4300] Speed: 1291.28 samples/sec accuracy=0.332852 top_k_accuracy_5=0.575664 | |
| Epoch[7] Batch [4400] Speed: 1286.21 samples/sec accuracy=0.334336 top_k_accuracy_5=0.584688 | |
| Epoch[7] Batch [4500] Speed: 1286.22 samples/sec accuracy=0.332734 top_k_accuracy_5=0.576250 | |
| Epoch[7] Batch [4600] Speed: 1292.88 samples/sec accuracy=0.335156 top_k_accuracy_5=0.576953 | |
| Epoch[7] Batch [4700] Speed: 1276.19 samples/sec accuracy=0.334297 top_k_accuracy_5=0.578438 | |
| Epoch[7] Batch [4800] Speed: 1295.59 samples/sec accuracy=0.335625 top_k_accuracy_5=0.577891 | |
| Epoch[7] Batch [4900] Speed: 1289.82 samples/sec accuracy=0.337578 top_k_accuracy_5=0.586758 | |
| Epoch[7] Batch [5000] Speed: 1288.31 samples/sec accuracy=0.334141 top_k_accuracy_5=0.581875 | |
| Epoch[7] Train-accuracy=0.333008 | |
| Epoch[7] Train-top_k_accuracy_5=0.572266 | |
| Epoch[7] Time cost=988.092 | |
| Saved checkpoint to "model/resnet18-0008.params" | |
| Epoch[7] Validation-accuracy=0.343129 | |
| Epoch[7] Validation-top_k_accuracy_5=0.595793 | |
| Epoch[8] Batch [100] Speed: 1283.38 samples/sec accuracy=0.341971 top_k_accuracy_5=0.582650 | |
| Epoch[8] Batch [200] Speed: 1302.21 samples/sec accuracy=0.336523 top_k_accuracy_5=0.578516 | |
| Epoch[8] Batch [300] Speed: 1300.23 samples/sec accuracy=0.332695 top_k_accuracy_5=0.580625 | |
| Epoch[8] Batch [400] Speed: 1289.01 samples/sec accuracy=0.333477 top_k_accuracy_5=0.577930 | |
| Epoch[8] Batch [500] Speed: 1313.40 samples/sec accuracy=0.336523 top_k_accuracy_5=0.582539 | |
| Epoch[8] Batch [600] Speed: 1306.09 samples/sec accuracy=0.338242 top_k_accuracy_5=0.583242 | |
| Epoch[8] Batch [700] Speed: 1296.24 samples/sec accuracy=0.335391 top_k_accuracy_5=0.582109 | |
| Epoch[8] Batch [800] Speed: 1292.70 samples/sec accuracy=0.336133 top_k_accuracy_5=0.582734 | |
| Epoch[8] Batch [900] Speed: 1309.67 samples/sec accuracy=0.339297 top_k_accuracy_5=0.582031 | |
| Epoch[8] Batch [1000] Speed: 1305.52 samples/sec accuracy=0.332930 top_k_accuracy_5=0.576641 | |
| Epoch[8] Batch [1100] Speed: 1303.05 samples/sec accuracy=0.339492 top_k_accuracy_5=0.583164 | |
| Epoch[8] Batch [1200] Speed: 1306.35 samples/sec accuracy=0.338125 top_k_accuracy_5=0.581797 | |
| Epoch[8] Batch [1300] Speed: 1305.18 samples/sec accuracy=0.335508 top_k_accuracy_5=0.579805 | |
| Epoch[8] Batch [1400] Speed: 1294.20 samples/sec accuracy=0.336445 top_k_accuracy_5=0.583555 | |
| Epoch[8] Batch [1500] Speed: 1305.45 samples/sec accuracy=0.339375 top_k_accuracy_5=0.580781 | |
| Epoch[8] Batch [1600] Speed: 1307.91 samples/sec accuracy=0.335742 top_k_accuracy_5=0.581016 | |
| Epoch[8] Batch [1700] Speed: 1303.09 samples/sec accuracy=0.335781 top_k_accuracy_5=0.581914 | |
| Epoch[8] Batch [1800] Speed: 1306.55 samples/sec accuracy=0.336836 top_k_accuracy_5=0.585313 | |
| Epoch[8] Batch [1900] Speed: 1309.58 samples/sec accuracy=0.335742 top_k_accuracy_5=0.581484 | |
| Epoch[8] Batch [2000] Speed: 1307.73 samples/sec accuracy=0.340664 top_k_accuracy_5=0.585625 | |
| Epoch[8] Batch [2100] Speed: 1314.15 samples/sec accuracy=0.336641 top_k_accuracy_5=0.580781 | |
| Epoch[8] Batch [2200] Speed: 1310.49 samples/sec accuracy=0.333555 top_k_accuracy_5=0.578164 | |
| Epoch[8] Batch [2300] Speed: 1311.95 samples/sec accuracy=0.332539 top_k_accuracy_5=0.576758 | |
| Epoch[8] Batch [2400] Speed: 1303.73 samples/sec accuracy=0.336328 top_k_accuracy_5=0.581016 | |
| Epoch[8] Batch [2500] Speed: 1309.33 samples/sec accuracy=0.338359 top_k_accuracy_5=0.585547 | |
| Epoch[8] Batch [2600] Speed: 1306.76 samples/sec accuracy=0.333320 top_k_accuracy_5=0.578555 | |
| Epoch[8] Batch [2700] Speed: 1307.84 samples/sec accuracy=0.340391 top_k_accuracy_5=0.585078 | |
| Epoch[8] Batch [2800] Speed: 1303.73 samples/sec accuracy=0.342148 top_k_accuracy_5=0.584180 | |
| Epoch[8] Batch [2900] Speed: 1306.20 samples/sec accuracy=0.340781 top_k_accuracy_5=0.582969 | |
| Epoch[8] Batch [3000] Speed: 1317.74 samples/sec accuracy=0.332969 top_k_accuracy_5=0.578242 | |
| Epoch[8] Batch [3100] Speed: 1309.97 samples/sec accuracy=0.339062 top_k_accuracy_5=0.583438 | |
| Epoch[8] Batch [3200] Speed: 1318.31 samples/sec accuracy=0.341367 top_k_accuracy_5=0.582734 | |
| Epoch[8] Batch [3300] Speed: 1323.36 samples/sec accuracy=0.343828 top_k_accuracy_5=0.583633 | |
| Epoch[8] Batch [3400] Speed: 1313.16 samples/sec accuracy=0.337266 top_k_accuracy_5=0.580313 | |
| Epoch[8] Batch [3500] Speed: 1318.22 samples/sec accuracy=0.342969 top_k_accuracy_5=0.587891 | |
| Epoch[8] Batch [3600] Speed: 1304.69 samples/sec accuracy=0.335703 top_k_accuracy_5=0.583125 | |
| Epoch[8] Batch [3700] Speed: 1287.49 samples/sec accuracy=0.340234 top_k_accuracy_5=0.584609 | |
| Epoch[8] Batch [3800] Speed: 1287.81 samples/sec accuracy=0.337617 top_k_accuracy_5=0.588164 | |
| Epoch[8] Batch [3900] Speed: 1287.85 samples/sec accuracy=0.333828 top_k_accuracy_5=0.576328 | |
| Epoch[8] Batch [4000] Speed: 1298.40 samples/sec accuracy=0.337109 top_k_accuracy_5=0.582617 | |
| Epoch[8] Batch [4100] Speed: 1291.30 samples/sec accuracy=0.337930 top_k_accuracy_5=0.584961 | |
| Epoch[8] Batch [4200] Speed: 1290.30 samples/sec accuracy=0.337734 top_k_accuracy_5=0.580859 | |
| Epoch[8] Batch [4300] Speed: 1290.52 samples/sec accuracy=0.339297 top_k_accuracy_5=0.586641 | |
| Epoch[8] Batch [4400] Speed: 1292.09 samples/sec accuracy=0.338789 top_k_accuracy_5=0.586445 | |
| Epoch[8] Batch [4500] Speed: 1298.78 samples/sec accuracy=0.342344 top_k_accuracy_5=0.585000 | |
| Epoch[8] Batch [4600] Speed: 1291.87 samples/sec accuracy=0.336953 top_k_accuracy_5=0.583008 | |
| Epoch[8] Batch [4700] Speed: 1294.29 samples/sec accuracy=0.342109 top_k_accuracy_5=0.583516 | |
| Epoch[8] Batch [4800] Speed: 1286.23 samples/sec accuracy=0.342070 top_k_accuracy_5=0.584063 | |
| Epoch[8] Batch [4900] Speed: 1283.90 samples/sec accuracy=0.341445 top_k_accuracy_5=0.591953 | |
| Epoch[8] Batch [5000] Speed: 1284.19 samples/sec accuracy=0.345156 top_k_accuracy_5=0.589805 | |
| Epoch[8] Train-accuracy=0.332031 | |
| Epoch[8] Train-top_k_accuracy_5=0.563477 | |
| Epoch[8] Time cost=984.797 | |
| Saved checkpoint to "model/resnet18-0009.params" | |
| Epoch[8] Validation-accuracy=0.343610 | |
| Epoch[8] Validation-top_k_accuracy_5=0.596214 | |
| Epoch[9] Batch [100] Speed: 1285.29 samples/sec accuracy=0.338181 top_k_accuracy_5=0.581722 | |
| Epoch[9] Batch [200] Speed: 1304.38 samples/sec accuracy=0.338359 top_k_accuracy_5=0.582773 | |
| Epoch[9] Batch [300] Speed: 1295.23 samples/sec accuracy=0.338594 top_k_accuracy_5=0.584219 | |
| Epoch[9] Batch [400] Speed: 1302.12 samples/sec accuracy=0.342305 top_k_accuracy_5=0.584766 | |
| Epoch[9] Batch [500] Speed: 1315.45 samples/sec accuracy=0.343984 top_k_accuracy_5=0.586641 | |
| Epoch[9] Batch [600] Speed: 1295.08 samples/sec accuracy=0.339062 top_k_accuracy_5=0.580742 | |
| Epoch[9] Batch [700] Speed: 1310.75 samples/sec accuracy=0.341289 top_k_accuracy_5=0.585938 | |
| Epoch[9] Batch [800] Speed: 1334.29 samples/sec accuracy=0.337305 top_k_accuracy_5=0.583633 | |
| Epoch[9] Batch [900] Speed: 1323.04 samples/sec accuracy=0.344883 top_k_accuracy_5=0.588672 | |
| Epoch[9] Batch [1000] Speed: 1308.83 samples/sec accuracy=0.339609 top_k_accuracy_5=0.582773 | |
| Epoch[9] Batch [1100] Speed: 1310.20 samples/sec accuracy=0.344180 top_k_accuracy_5=0.590469 | |
| Epoch[9] Batch [1200] Speed: 1310.29 samples/sec accuracy=0.340977 top_k_accuracy_5=0.586367 | |
| Epoch[9] Batch [1300] Speed: 1311.84 samples/sec accuracy=0.342148 top_k_accuracy_5=0.583047 | |
| Epoch[9] Batch [1400] Speed: 1315.67 samples/sec accuracy=0.342773 top_k_accuracy_5=0.586914 | |
| Epoch[9] Batch [1500] Speed: 1315.55 samples/sec accuracy=0.340898 top_k_accuracy_5=0.588047 | |
| Epoch[9] Batch [1600] Speed: 1311.71 samples/sec accuracy=0.341875 top_k_accuracy_5=0.582695 | |
| Epoch[9] Batch [1700] Speed: 1315.28 samples/sec accuracy=0.337773 top_k_accuracy_5=0.586484 | |
| Epoch[9] Batch [1800] Speed: 1311.94 samples/sec accuracy=0.337930 top_k_accuracy_5=0.584688 | |
| Epoch[9] Batch [1900] Speed: 1314.05 samples/sec accuracy=0.340898 top_k_accuracy_5=0.580977 | |
| Epoch[9] Batch [2000] Speed: 1318.94 samples/sec accuracy=0.341367 top_k_accuracy_5=0.585391 | |
| Epoch[9] Batch [2100] Speed: 1316.28 samples/sec accuracy=0.342383 top_k_accuracy_5=0.583008 | |
| Epoch[9] Batch [2200] Speed: 1309.03 samples/sec accuracy=0.343359 top_k_accuracy_5=0.586133 | |
| Epoch[9] Batch [2300] Speed: 1320.02 samples/sec accuracy=0.345820 top_k_accuracy_5=0.589375 | |
| Epoch[9] Batch [2400] Speed: 1315.33 samples/sec accuracy=0.339844 top_k_accuracy_5=0.588672 | |
| Epoch[9] Batch [2500] Speed: 1321.64 samples/sec accuracy=0.344375 top_k_accuracy_5=0.585938 | |
| Epoch[9] Batch [2600] Speed: 1315.62 samples/sec accuracy=0.342734 top_k_accuracy_5=0.588203 | |
| Epoch[9] Batch [2700] Speed: 1303.90 samples/sec accuracy=0.340117 top_k_accuracy_5=0.583672 | |
| Epoch[9] Batch [2800] Speed: 1310.44 samples/sec accuracy=0.340820 top_k_accuracy_5=0.586641 | |
| Epoch[9] Batch [2900] Speed: 1310.05 samples/sec accuracy=0.346406 top_k_accuracy_5=0.587773 | |
| Epoch[9] Batch [3000] Speed: 1310.69 samples/sec accuracy=0.337031 top_k_accuracy_5=0.582773 | |
| Epoch[9] Batch [3100] Speed: 1306.23 samples/sec accuracy=0.339805 top_k_accuracy_5=0.582773 | |
| Epoch[9] Batch [3200] Speed: 1306.41 samples/sec accuracy=0.347500 top_k_accuracy_5=0.590703 | |
| Epoch[9] Batch [3300] Speed: 1324.45 samples/sec accuracy=0.344258 top_k_accuracy_5=0.586914 | |
| Epoch[9] Batch [3400] Speed: 1327.48 samples/sec accuracy=0.342773 top_k_accuracy_5=0.588672 | |
| Epoch[9] Batch [3500] Speed: 1323.57 samples/sec accuracy=0.346758 top_k_accuracy_5=0.587305 | |
| Epoch[9] Batch [3600] Speed: 1316.83 samples/sec accuracy=0.341953 top_k_accuracy_5=0.587109 | |
| Epoch[9] Batch [3700] Speed: 1324.93 samples/sec accuracy=0.344492 top_k_accuracy_5=0.588164 | |
| Epoch[9] Batch [3800] Speed: 1322.29 samples/sec accuracy=0.346875 top_k_accuracy_5=0.588828 | |
| Epoch[9] Batch [3900] Speed: 1309.72 samples/sec accuracy=0.340000 top_k_accuracy_5=0.581328 | |
| Epoch[9] Batch [4000] Speed: 1304.85 samples/sec accuracy=0.347187 top_k_accuracy_5=0.592539 | |
| Epoch[9] Batch [4100] Speed: 1308.89 samples/sec accuracy=0.341016 top_k_accuracy_5=0.584414 | |
| Epoch[9] Batch [4200] Speed: 1311.33 samples/sec accuracy=0.340430 top_k_accuracy_5=0.582187 | |
| Epoch[9] Batch [4300] Speed: 1312.01 samples/sec accuracy=0.344453 top_k_accuracy_5=0.589023 | |
| Epoch[9] Batch [4400] Speed: 1302.95 samples/sec accuracy=0.345547 top_k_accuracy_5=0.592266 | |
| Epoch[9] Batch [4500] Speed: 1308.61 samples/sec accuracy=0.345195 top_k_accuracy_5=0.592734 | |
| Epoch[9] Batch [4600] Speed: 1307.70 samples/sec accuracy=0.339648 top_k_accuracy_5=0.588008 | |
| Epoch[9] Batch [4700] Speed: 1307.62 samples/sec accuracy=0.343594 top_k_accuracy_5=0.589141 | |
| Epoch[9] Batch [4800] Speed: 1303.32 samples/sec accuracy=0.343359 top_k_accuracy_5=0.587656 | |
| Epoch[9] Batch [4900] Speed: 1304.94 samples/sec accuracy=0.347891 top_k_accuracy_5=0.594023 | |
| Epoch[9] Batch [5000] Speed: 1308.12 samples/sec accuracy=0.342070 top_k_accuracy_5=0.588164 | |
| Epoch[9] Train-accuracy=0.333333 | |
| Epoch[9] Train-top_k_accuracy_5=0.583333 | |
| Epoch[9] Time cost=977.067 | |
| Saved checkpoint to "model/resnet18-0010.params" | |
| Epoch[9] Validation-accuracy=0.349151 | |
| Epoch[9] Validation-top_k_accuracy_5=0.604552 | |
| Epoch[10] Batch [100] Speed: 1313.66 samples/sec accuracy=0.348662 top_k_accuracy_5=0.595529 | |
| Epoch[10] Batch [200] Speed: 1308.58 samples/sec accuracy=0.340781 top_k_accuracy_5=0.590000 | |
| Epoch[10] Batch [300] Speed: 1312.63 samples/sec accuracy=0.344727 top_k_accuracy_5=0.589219 | |
| Epoch[10] Batch [400] Speed: 1309.08 samples/sec accuracy=0.344648 top_k_accuracy_5=0.590469 | |
| Epoch[10] Batch [500] Speed: 1310.75 samples/sec accuracy=0.347656 top_k_accuracy_5=0.590195 | |
| Epoch[10] Batch [600] Speed: 1313.74 samples/sec accuracy=0.344102 top_k_accuracy_5=0.589180 | |
| Epoch[10] Batch [700] Speed: 1314.10 samples/sec accuracy=0.341445 top_k_accuracy_5=0.586016 | |
| Epoch[10] Batch [800] Speed: 1313.41 samples/sec accuracy=0.342187 top_k_accuracy_5=0.586055 | |
| Epoch[10] Batch [900] Speed: 1309.55 samples/sec accuracy=0.348555 top_k_accuracy_5=0.586758 | |
| Epoch[10] Batch [1000] Speed: 1305.62 samples/sec accuracy=0.345977 top_k_accuracy_5=0.588242 | |
| Epoch[10] Batch [1100] Speed: 1305.84 samples/sec accuracy=0.345156 top_k_accuracy_5=0.587500 | |
| Epoch[10] Batch [1200] Speed: 1305.64 samples/sec accuracy=0.341562 top_k_accuracy_5=0.586367 | |
| Epoch[10] Batch [1300] Speed: 1299.85 samples/sec accuracy=0.343125 top_k_accuracy_5=0.585586 | |
| Epoch[10] Batch [1400] Speed: 1309.03 samples/sec accuracy=0.344844 top_k_accuracy_5=0.590820 | |
| Epoch[10] Batch [1500] Speed: 1305.98 samples/sec accuracy=0.342813 top_k_accuracy_5=0.585195 | |
| Epoch[10] Batch [1600] Speed: 1312.30 samples/sec accuracy=0.344727 top_k_accuracy_5=0.590352 | |
| Epoch[10] Batch [1700] Speed: 1305.41 samples/sec accuracy=0.349258 top_k_accuracy_5=0.592148 | |
| Epoch[10] Batch [1800] Speed: 1319.35 samples/sec accuracy=0.342578 top_k_accuracy_5=0.590547 | |
| Epoch[10] Batch [1900] Speed: 1309.88 samples/sec accuracy=0.347773 top_k_accuracy_5=0.590742 | |
| Epoch[10] Batch [2000] Speed: 1308.52 samples/sec accuracy=0.351719 top_k_accuracy_5=0.592422 | |
| Epoch[10] Batch [2100] Speed: 1319.01 samples/sec accuracy=0.347773 top_k_accuracy_5=0.592109 | |
| Epoch[10] Batch [2200] Speed: 1301.85 samples/sec accuracy=0.341836 top_k_accuracy_5=0.588984 | |
| Epoch[10] Batch [2300] Speed: 1304.84 samples/sec accuracy=0.344805 top_k_accuracy_5=0.589648 | |
| Epoch[10] Batch [2400] Speed: 1306.08 samples/sec accuracy=0.342148 top_k_accuracy_5=0.588984 | |
| Epoch[10] Batch [2500] Speed: 1312.64 samples/sec accuracy=0.348047 top_k_accuracy_5=0.591914 | |
| Epoch[10] Batch [2600] Speed: 1292.91 samples/sec accuracy=0.343633 top_k_accuracy_5=0.589609 | |
| Epoch[10] Batch [2700] Speed: 1303.78 samples/sec accuracy=0.347305 top_k_accuracy_5=0.588633 | |
| Epoch[10] Batch [2800] Speed: 1306.26 samples/sec accuracy=0.350313 top_k_accuracy_5=0.596094 | |
| Epoch[10] Batch [2900] Speed: 1304.31 samples/sec accuracy=0.342461 top_k_accuracy_5=0.585234 | |
| Epoch[10] Batch [3000] Speed: 1298.91 samples/sec accuracy=0.341133 top_k_accuracy_5=0.591133 | |
| Epoch[10] Batch [3100] Speed: 1303.59 samples/sec accuracy=0.341797 top_k_accuracy_5=0.587969 | |
| Epoch[10] Batch [3200] Speed: 1308.60 samples/sec accuracy=0.348164 top_k_accuracy_5=0.588945 | |
| Epoch[10] Batch [3300] Speed: 1311.46 samples/sec accuracy=0.344453 top_k_accuracy_5=0.587344 | |
| Epoch[10] Batch [3400] Speed: 1304.03 samples/sec accuracy=0.351641 top_k_accuracy_5=0.593867 | |
| Epoch[10] Batch [3500] Speed: 1316.65 samples/sec accuracy=0.352695 top_k_accuracy_5=0.598164 | |
| Epoch[10] Batch [3600] Speed: 1296.79 samples/sec accuracy=0.346680 top_k_accuracy_5=0.592539 | |
| Epoch[10] Batch [3700] Speed: 1312.17 samples/sec accuracy=0.345742 top_k_accuracy_5=0.590469 | |
| Epoch[10] Batch [3800] Speed: 1308.95 samples/sec accuracy=0.349570 top_k_accuracy_5=0.591797 | |
| Epoch[10] Batch [3900] Speed: 1303.99 samples/sec accuracy=0.344492 top_k_accuracy_5=0.588906 | |
| Epoch[10] Batch [4000] Speed: 1311.26 samples/sec accuracy=0.349023 top_k_accuracy_5=0.596523 | |
| Epoch[10] Batch [4100] Speed: 1311.53 samples/sec accuracy=0.338945 top_k_accuracy_5=0.588281 | |
| Epoch[10] Batch [4200] Speed: 1312.64 samples/sec accuracy=0.343398 top_k_accuracy_5=0.586055 | |
| Epoch[10] Batch [4300] Speed: 1315.03 samples/sec accuracy=0.347227 top_k_accuracy_5=0.589375 | |
| Epoch[10] Batch [4400] Speed: 1311.59 samples/sec accuracy=0.347578 top_k_accuracy_5=0.592461 | |
| Epoch[10] Batch [4500] Speed: 1317.80 samples/sec accuracy=0.347617 top_k_accuracy_5=0.596289 | |
| Epoch[10] Batch [4600] Speed: 1306.62 samples/sec accuracy=0.350586 top_k_accuracy_5=0.592773 | |
| Epoch[10] Batch [4700] Speed: 1310.01 samples/sec accuracy=0.347187 top_k_accuracy_5=0.593437 | |
| Epoch[10] Batch [4800] Speed: 1312.73 samples/sec accuracy=0.345391 top_k_accuracy_5=0.590938 | |
| Epoch[10] Batch [4900] Speed: 1307.52 samples/sec accuracy=0.349727 top_k_accuracy_5=0.594219 | |
| Epoch[10] Batch [5000] Speed: 1300.38 samples/sec accuracy=0.344609 top_k_accuracy_5=0.588867 | |
| Epoch[10] Train-accuracy=0.359375 | |
| Epoch[10] Train-top_k_accuracy_5=0.585938 | |
| Epoch[10] Time cost=979.558 | |
| Saved checkpoint to "model/resnet18-0011.params" | |
| Epoch[10] Validation-accuracy=0.361278 | |
| Epoch[10] Validation-top_k_accuracy_5=0.620212 | |
| Epoch[11] Batch [100] Speed: 1301.36 samples/sec accuracy=0.350982 top_k_accuracy_5=0.596767 | |
| Epoch[11] Batch [200] Speed: 1305.35 samples/sec accuracy=0.349453 top_k_accuracy_5=0.596133 | |
| Epoch[11] Batch [300] Speed: 1311.18 samples/sec accuracy=0.352773 top_k_accuracy_5=0.596875 | |
| Epoch[11] Batch [400] Speed: 1315.98 samples/sec accuracy=0.341953 top_k_accuracy_5=0.587422 | |
| Epoch[11] Batch [500] Speed: 1304.73 samples/sec accuracy=0.353398 top_k_accuracy_5=0.595469 | |
| Epoch[11] Batch [600] Speed: 1299.74 samples/sec accuracy=0.349492 top_k_accuracy_5=0.590703 | |
| Epoch[11] Batch [700] Speed: 1292.63 samples/sec accuracy=0.346172 top_k_accuracy_5=0.593477 | |
| Epoch[11] Batch [800] Speed: 1296.58 samples/sec accuracy=0.348125 top_k_accuracy_5=0.595352 | |
| Epoch[11] Batch [900] Speed: 1301.40 samples/sec accuracy=0.346172 top_k_accuracy_5=0.589219 | |
| Epoch[11] Batch [1000] Speed: 1300.20 samples/sec accuracy=0.350000 top_k_accuracy_5=0.596172 | |
| Epoch[11] Batch [1100] Speed: 1305.64 samples/sec accuracy=0.351602 top_k_accuracy_5=0.595430 | |
| Epoch[11] Batch [1200] Speed: 1301.95 samples/sec accuracy=0.346914 top_k_accuracy_5=0.588477 | |
| Epoch[11] Batch [1300] Speed: 1304.91 samples/sec accuracy=0.350547 top_k_accuracy_5=0.589805 | |
| Epoch[11] Batch [1400] Speed: 1295.31 samples/sec accuracy=0.352070 top_k_accuracy_5=0.600273 | |
| Epoch[11] Batch [1500] Speed: 1313.59 samples/sec accuracy=0.345977 top_k_accuracy_5=0.592852 | |
| Epoch[11] Batch [1600] Speed: 1306.90 samples/sec accuracy=0.343867 top_k_accuracy_5=0.586367 | |
| Epoch[11] Batch [1700] Speed: 1303.26 samples/sec accuracy=0.349844 top_k_accuracy_5=0.595547 | |
| Epoch[11] Batch [1800] Speed: 1308.89 samples/sec accuracy=0.345000 top_k_accuracy_5=0.592187 | |
| Epoch[11] Batch [1900] Speed: 1306.10 samples/sec accuracy=0.346133 top_k_accuracy_5=0.594336 | |
| Epoch[11] Batch [2000] Speed: 1304.88 samples/sec accuracy=0.351953 top_k_accuracy_5=0.596523 | |
| Epoch[11] Batch [2100] Speed: 1306.11 samples/sec accuracy=0.347969 top_k_accuracy_5=0.589336 | |
| Epoch[11] Batch [2200] Speed: 1308.45 samples/sec accuracy=0.347539 top_k_accuracy_5=0.590664 | |
| Epoch[11] Batch [2300] Speed: 1311.23 samples/sec accuracy=0.350664 top_k_accuracy_5=0.591641 | |
| Epoch[11] Batch [2400] Speed: 1316.27 samples/sec accuracy=0.349297 top_k_accuracy_5=0.591992 | |
| Epoch[11] Batch [2500] Speed: 1307.23 samples/sec accuracy=0.350352 top_k_accuracy_5=0.592734 | |
| Epoch[11] Batch [2600] Speed: 1313.39 samples/sec accuracy=0.345742 top_k_accuracy_5=0.590664 | |
| Epoch[11] Batch [2700] Speed: 1318.18 samples/sec accuracy=0.343242 top_k_accuracy_5=0.594180 | |
| Epoch[11] Batch [2800] Speed: 1307.61 samples/sec accuracy=0.353086 top_k_accuracy_5=0.596406 | |
| Epoch[11] Batch [2900] Speed: 1309.16 samples/sec accuracy=0.352734 top_k_accuracy_5=0.592383 | |
| Epoch[11] Batch [3000] Speed: 1309.79 samples/sec accuracy=0.345352 top_k_accuracy_5=0.591680 | |
| Epoch[11] Batch [3100] Speed: 1309.79 samples/sec accuracy=0.347891 top_k_accuracy_5=0.593125 | |
| Epoch[11] Batch [3200] Speed: 1299.21 samples/sec accuracy=0.352305 top_k_accuracy_5=0.595664 | |
| Epoch[11] Batch [3300] Speed: 1299.27 samples/sec accuracy=0.350234 top_k_accuracy_5=0.597461 | |
| Epoch[11] Batch [3400] Speed: 1305.19 samples/sec accuracy=0.351328 top_k_accuracy_5=0.593516 | |
| Epoch[11] Batch [3500] Speed: 1306.44 samples/sec accuracy=0.354922 top_k_accuracy_5=0.598711 | |
| Epoch[11] Batch [3600] Speed: 1302.44 samples/sec accuracy=0.343086 top_k_accuracy_5=0.591914 | |
| Epoch[11] Batch [3700] Speed: 1311.05 samples/sec accuracy=0.348086 top_k_accuracy_5=0.596328 | |
| Epoch[11] Batch [3800] Speed: 1315.84 samples/sec accuracy=0.351094 top_k_accuracy_5=0.595234 | |
| Epoch[11] Batch [3900] Speed: 1319.46 samples/sec accuracy=0.346797 top_k_accuracy_5=0.590352 | |
| Epoch[11] Batch [4000] Speed: 1315.23 samples/sec accuracy=0.348750 top_k_accuracy_5=0.594531 | |
| Epoch[11] Batch [4100] Speed: 1319.97 samples/sec accuracy=0.345156 top_k_accuracy_5=0.589414 | |
| Epoch[11] Batch [4200] Speed: 1316.02 samples/sec accuracy=0.350664 top_k_accuracy_5=0.594766 | |
| Epoch[11] Batch [4300] Speed: 1317.81 samples/sec accuracy=0.352930 top_k_accuracy_5=0.591914 | |
| Epoch[11] Batch [4400] Speed: 1312.59 samples/sec accuracy=0.351953 top_k_accuracy_5=0.596367 | |
| Epoch[11] Batch [4500] Speed: 1309.33 samples/sec accuracy=0.350234 top_k_accuracy_5=0.595039 | |
| Epoch[11] Batch [4600] Speed: 1316.12 samples/sec accuracy=0.348047 top_k_accuracy_5=0.593828 | |
| Epoch[11] Batch [4700] Speed: 1305.73 samples/sec accuracy=0.347813 top_k_accuracy_5=0.594688 | |
| Epoch[11] Batch [4800] Speed: 1318.21 samples/sec accuracy=0.350313 top_k_accuracy_5=0.593555 | |
| Epoch[11] Batch [4900] Speed: 1334.39 samples/sec accuracy=0.355703 top_k_accuracy_5=0.600781 | |
| Epoch[11] Batch [5000] Speed: 1310.08 samples/sec accuracy=0.349570 top_k_accuracy_5=0.590156 | |
| Epoch[11] Train-accuracy=0.329427 | |
| Epoch[11] Train-top_k_accuracy_5=0.582031 | |
| Epoch[11] Time cost=979.230 | |
| Saved checkpoint to "model/resnet18-0012.params" | |
| Epoch[11] Validation-accuracy=0.362881 | |
| Epoch[11] Validation-top_k_accuracy_5=0.619511 | |
| Epoch[12] Batch [100] Speed: 1317.14 samples/sec accuracy=0.353071 top_k_accuracy_5=0.597772 | |
| Epoch[12] Batch [200] Speed: 1327.49 samples/sec accuracy=0.350664 top_k_accuracy_5=0.595781 | |
| Epoch[12] Batch [300] Speed: 1322.10 samples/sec accuracy=0.349453 top_k_accuracy_5=0.597695 | |
| Epoch[12] Batch [400] Speed: 1326.01 samples/sec accuracy=0.344453 top_k_accuracy_5=0.588867 | |
| Epoch[12] Batch [500] Speed: 1319.98 samples/sec accuracy=0.354922 top_k_accuracy_5=0.599531 | |
| Epoch[12] Batch [600] Speed: 1318.63 samples/sec accuracy=0.350469 top_k_accuracy_5=0.597109 | |
| Epoch[12] Batch [700] Speed: 1328.88 samples/sec accuracy=0.346250 top_k_accuracy_5=0.591602 | |
| Epoch[12] Batch [800] Speed: 1326.38 samples/sec accuracy=0.346250 top_k_accuracy_5=0.592109 | |
| Epoch[12] Batch [900] Speed: 1320.15 samples/sec accuracy=0.352109 top_k_accuracy_5=0.593594 | |
| Epoch[12] Batch [1000] Speed: 1311.64 samples/sec accuracy=0.352305 top_k_accuracy_5=0.598984 | |
| Epoch[12] Batch [1100] Speed: 1316.78 samples/sec accuracy=0.353008 top_k_accuracy_5=0.599258 | |
| Epoch[12] Batch [1200] Speed: 1310.65 samples/sec accuracy=0.347617 top_k_accuracy_5=0.595781 | |
| Epoch[12] Batch [1300] Speed: 1319.12 samples/sec accuracy=0.348672 top_k_accuracy_5=0.594141 | |
| Epoch[12] Batch [1400] Speed: 1325.97 samples/sec accuracy=0.350352 top_k_accuracy_5=0.593945 | |
| Epoch[12] Batch [1500] Speed: 1325.73 samples/sec accuracy=0.350664 top_k_accuracy_5=0.595977 | |
| Epoch[12] Batch [1600] Speed: 1329.95 samples/sec accuracy=0.349258 top_k_accuracy_5=0.591680 | |
| Epoch[12] Batch [1700] Speed: 1325.48 samples/sec accuracy=0.349141 top_k_accuracy_5=0.592930 | |
| Epoch[12] Batch [1800] Speed: 1321.42 samples/sec accuracy=0.348945 top_k_accuracy_5=0.593945 | |
| Epoch[12] Batch [1900] Speed: 1323.14 samples/sec accuracy=0.348906 top_k_accuracy_5=0.596172 | |
| Epoch[12] Batch [2000] Speed: 1323.22 samples/sec accuracy=0.350156 top_k_accuracy_5=0.598125 | |
| Epoch[12] Batch [2100] Speed: 1326.11 samples/sec accuracy=0.350156 top_k_accuracy_5=0.591445 | |
| Epoch[12] Batch [2200] Speed: 1323.45 samples/sec accuracy=0.350352 top_k_accuracy_5=0.595313 | |
| Epoch[12] Batch [2300] Speed: 1310.85 samples/sec accuracy=0.348828 top_k_accuracy_5=0.593164 | |
| Epoch[12] Batch [2400] Speed: 1315.15 samples/sec accuracy=0.352734 top_k_accuracy_5=0.590039 | |
| Epoch[12] Batch [2500] Speed: 1321.42 samples/sec accuracy=0.353242 top_k_accuracy_5=0.595938 | |
| Epoch[12] Batch [2600] Speed: 1317.86 samples/sec accuracy=0.352109 top_k_accuracy_5=0.592500 | |
| Epoch[12] Batch [2700] Speed: 1319.81 samples/sec accuracy=0.350664 top_k_accuracy_5=0.598828 | |
| Epoch[12] Batch [2800] Speed: 1310.88 samples/sec accuracy=0.351523 top_k_accuracy_5=0.596250 | |
| Epoch[12] Batch [2900] Speed: 1313.95 samples/sec accuracy=0.349883 top_k_accuracy_5=0.595469 | |
| Epoch[12] Batch [3000] Speed: 1317.59 samples/sec accuracy=0.349375 top_k_accuracy_5=0.593711 | |
| Epoch[12] Batch [3100] Speed: 1302.58 samples/sec accuracy=0.350078 top_k_accuracy_5=0.595898 | |
| Epoch[12] Batch [3200] Speed: 1311.36 samples/sec accuracy=0.351992 top_k_accuracy_5=0.600039 | |
| Epoch[12] Batch [3300] Speed: 1305.50 samples/sec accuracy=0.349727 top_k_accuracy_5=0.594766 | |
| Epoch[12] Batch [3400] Speed: 1309.36 samples/sec accuracy=0.354844 top_k_accuracy_5=0.596523 | |
| Epoch[12] Batch [3500] Speed: 1300.13 samples/sec accuracy=0.357578 top_k_accuracy_5=0.598242 | |
| Epoch[12] Batch [3600] Speed: 1314.35 samples/sec accuracy=0.346875 top_k_accuracy_5=0.594648 | |
| Epoch[12] Batch [3700] Speed: 1310.06 samples/sec accuracy=0.347500 top_k_accuracy_5=0.597930 | |
| Epoch[12] Batch [3800] Speed: 1320.95 samples/sec accuracy=0.352656 top_k_accuracy_5=0.599141 | |
| Epoch[12] Batch [3900] Speed: 1308.71 samples/sec accuracy=0.348086 top_k_accuracy_5=0.595898 | |
| Epoch[12] Batch [4000] Speed: 1309.57 samples/sec accuracy=0.352695 top_k_accuracy_5=0.599453 | |
| Epoch[12] Batch [4100] Speed: 1310.32 samples/sec accuracy=0.347695 top_k_accuracy_5=0.591055 | |
| Epoch[12] Batch [4200] Speed: 1310.86 samples/sec accuracy=0.351992 top_k_accuracy_5=0.595273 | |
| Epoch[12] Batch [4300] Speed: 1316.81 samples/sec accuracy=0.353242 top_k_accuracy_5=0.601719 | |
| Epoch[12] Batch [4400] Speed: 1313.84 samples/sec accuracy=0.345625 top_k_accuracy_5=0.593320 | |
| Epoch[12] Batch [4500] Speed: 1316.84 samples/sec accuracy=0.354023 top_k_accuracy_5=0.598281 | |
| Epoch[12] Batch [4600] Speed: 1310.24 samples/sec accuracy=0.346875 top_k_accuracy_5=0.593047 | |
| Epoch[12] Batch [4700] Speed: 1316.23 samples/sec accuracy=0.352930 top_k_accuracy_5=0.597969 | |
| Epoch[12] Batch [4800] Speed: 1314.15 samples/sec accuracy=0.349453 top_k_accuracy_5=0.596016 | |
| Epoch[12] Batch [4900] Speed: 1306.04 samples/sec accuracy=0.353125 top_k_accuracy_5=0.604805 | |
| Epoch[12] Batch [5000] Speed: 1316.57 samples/sec accuracy=0.351523 top_k_accuracy_5=0.597148 | |
| Epoch[12] Train-accuracy=0.352539 | |
| Epoch[12] Train-top_k_accuracy_5=0.577148 | |
| Epoch[12] Time cost=973.428 | |
| Saved checkpoint to "model/resnet18-0013.params" | |
| Epoch[12] Validation-accuracy=0.357522 | |
| Epoch[12] Validation-top_k_accuracy_5=0.610830 | |
| Epoch[13] Batch [100] Speed: 1313.21 samples/sec accuracy=0.353999 top_k_accuracy_5=0.597850 | |
| Epoch[13] Batch [200] Speed: 1314.21 samples/sec accuracy=0.355977 top_k_accuracy_5=0.598750 | |
| Epoch[13] Batch [300] Speed: 1320.67 samples/sec accuracy=0.351016 top_k_accuracy_5=0.595313 | |
| Epoch[13] Batch [400] Speed: 1318.92 samples/sec accuracy=0.345195 top_k_accuracy_5=0.592500 | |
| Epoch[13] Batch [500] Speed: 1322.89 samples/sec accuracy=0.355312 top_k_accuracy_5=0.601484 | |
| Epoch[13] Batch [600] Speed: 1315.79 samples/sec accuracy=0.352656 top_k_accuracy_5=0.597070 | |
| Epoch[13] Batch [700] Speed: 1333.60 samples/sec accuracy=0.352617 top_k_accuracy_5=0.596016 | |
| Epoch[13] Batch [800] Speed: 1307.48 samples/sec accuracy=0.346758 top_k_accuracy_5=0.593008 | |
| Epoch[13] Batch [900] Speed: 1332.40 samples/sec accuracy=0.349609 top_k_accuracy_5=0.598203 | |
| Epoch[13] Batch [1000] Speed: 1315.52 samples/sec accuracy=0.349141 top_k_accuracy_5=0.596133 | |
| Epoch[13] Batch [1100] Speed: 1321.88 samples/sec accuracy=0.353828 top_k_accuracy_5=0.597891 | |
| Epoch[13] Batch [1200] Speed: 1329.23 samples/sec accuracy=0.357031 top_k_accuracy_5=0.599648 | |
| Epoch[13] Batch [1300] Speed: 1332.38 samples/sec accuracy=0.349141 top_k_accuracy_5=0.600000 | |
| Epoch[13] Batch [1400] Speed: 1322.45 samples/sec accuracy=0.351562 top_k_accuracy_5=0.597695 | |
| Epoch[13] Batch [1500] Speed: 1326.51 samples/sec accuracy=0.353086 top_k_accuracy_5=0.597266 | |
| Epoch[13] Batch [1600] Speed: 1318.05 samples/sec accuracy=0.352305 top_k_accuracy_5=0.596758 | |
| Epoch[13] Batch [1700] Speed: 1313.26 samples/sec accuracy=0.349531 top_k_accuracy_5=0.596719 | |
| Epoch[13] Batch [1800] Speed: 1321.52 samples/sec accuracy=0.351484 top_k_accuracy_5=0.597891 | |
| Epoch[13] Batch [1900] Speed: 1308.86 samples/sec accuracy=0.352187 top_k_accuracy_5=0.600117 | |
| Epoch[13] Batch [2000] Speed: 1311.63 samples/sec accuracy=0.351055 top_k_accuracy_5=0.595586 | |
| Epoch[13] Batch [2100] Speed: 1317.69 samples/sec accuracy=0.352305 top_k_accuracy_5=0.597812 | |
| Epoch[13] Batch [2200] Speed: 1306.09 samples/sec accuracy=0.350977 top_k_accuracy_5=0.595547 | |
| Epoch[13] Batch [2300] Speed: 1315.37 samples/sec accuracy=0.352031 top_k_accuracy_5=0.594922 | |
| Epoch[13] Batch [2400] Speed: 1317.00 samples/sec accuracy=0.349687 top_k_accuracy_5=0.599961 | |
| Epoch[13] Batch [2500] Speed: 1305.88 samples/sec accuracy=0.352891 top_k_accuracy_5=0.598047 | |
| Epoch[13] Batch [2600] Speed: 1303.49 samples/sec accuracy=0.353164 top_k_accuracy_5=0.599336 | |
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| Epoch[13] Batch [2900] Speed: 1312.76 samples/sec accuracy=0.351211 top_k_accuracy_5=0.599883 | |
| Epoch[13] Batch [3000] Speed: 1306.60 samples/sec accuracy=0.349844 top_k_accuracy_5=0.598906 | |
| Epoch[13] Batch [3100] Speed: 1311.13 samples/sec accuracy=0.351484 top_k_accuracy_5=0.594570 | |
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| Epoch[13] Batch [3300] Speed: 1313.34 samples/sec accuracy=0.353203 top_k_accuracy_5=0.596367 | |
| Epoch[13] Batch [3400] Speed: 1307.71 samples/sec accuracy=0.354023 top_k_accuracy_5=0.600469 | |
| Epoch[13] Batch [3500] Speed: 1317.80 samples/sec accuracy=0.359727 top_k_accuracy_5=0.603984 | |
| Epoch[13] Batch [3600] Speed: 1313.78 samples/sec accuracy=0.349219 top_k_accuracy_5=0.593789 | |
| Epoch[13] Batch [3700] Speed: 1295.73 samples/sec accuracy=0.352578 top_k_accuracy_5=0.601641 | |
| Epoch[13] Batch [3800] Speed: 1314.38 samples/sec accuracy=0.355312 top_k_accuracy_5=0.601602 | |
| Epoch[13] Batch [3900] Speed: 1304.72 samples/sec accuracy=0.354844 top_k_accuracy_5=0.596055 | |
| Epoch[13] Batch [4000] Speed: 1306.18 samples/sec accuracy=0.355820 top_k_accuracy_5=0.602734 | |
| Epoch[13] Batch [4100] Speed: 1307.61 samples/sec accuracy=0.346445 top_k_accuracy_5=0.597422 | |
| Epoch[13] Batch [4200] Speed: 1305.09 samples/sec accuracy=0.353086 top_k_accuracy_5=0.600156 | |
| Epoch[13] Batch [4300] Speed: 1309.85 samples/sec accuracy=0.350000 top_k_accuracy_5=0.596445 | |
| Epoch[13] Batch [4400] Speed: 1312.95 samples/sec accuracy=0.352266 top_k_accuracy_5=0.602930 | |
| Epoch[13] Batch [4500] Speed: 1315.96 samples/sec accuracy=0.355273 top_k_accuracy_5=0.602500 | |
| Epoch[13] Batch [4600] Speed: 1316.80 samples/sec accuracy=0.355820 top_k_accuracy_5=0.598594 | |
| Epoch[13] Batch [4700] Speed: 1312.23 samples/sec accuracy=0.351992 top_k_accuracy_5=0.602500 | |
| Epoch[13] Batch [4800] Speed: 1311.74 samples/sec accuracy=0.349570 top_k_accuracy_5=0.592773 | |
| Epoch[13] Batch [4900] Speed: 1314.61 samples/sec accuracy=0.355664 top_k_accuracy_5=0.600000 | |
| Epoch[13] Batch [5000] Speed: 1311.11 samples/sec accuracy=0.348984 top_k_accuracy_5=0.595117 | |
| Epoch[13] Train-accuracy=0.377604 | |
| Epoch[13] Train-top_k_accuracy_5=0.605469 | |
| Epoch[13] Time cost=975.000 | |
| Saved checkpoint to "model/resnet18-0014.params" | |
| Epoch[13] Validation-accuracy=0.367208 | |
| Epoch[13] Validation-top_k_accuracy_5=0.623157 | |
| Epoch[14] Batch [100] Speed: 1314.67 samples/sec accuracy=0.358060 top_k_accuracy_5=0.601446 | |
| Epoch[14] Batch [200] Speed: 1321.26 samples/sec accuracy=0.354023 top_k_accuracy_5=0.600508 | |
| Epoch[14] Batch [300] Speed: 1324.34 samples/sec accuracy=0.358789 top_k_accuracy_5=0.605703 | |
| Epoch[14] Batch [400] Speed: 1317.85 samples/sec accuracy=0.346680 top_k_accuracy_5=0.598906 | |
| Epoch[14] Batch [500] Speed: 1317.12 samples/sec accuracy=0.356289 top_k_accuracy_5=0.599375 | |
| Epoch[14] Batch [600] Speed: 1288.06 samples/sec accuracy=0.351875 top_k_accuracy_5=0.595273 | |
| Epoch[14] Batch [700] Speed: 1293.67 samples/sec accuracy=0.353555 top_k_accuracy_5=0.597070 | |
| Epoch[14] Batch [800] Speed: 1290.73 samples/sec accuracy=0.352734 top_k_accuracy_5=0.598516 | |
| Epoch[14] Batch [900] Speed: 1282.93 samples/sec accuracy=0.354961 top_k_accuracy_5=0.598516 | |
| Epoch[14] Batch [1000] Speed: 1293.62 samples/sec accuracy=0.353711 top_k_accuracy_5=0.600664 | |
| Epoch[14] Batch [1100] Speed: 1288.15 samples/sec accuracy=0.360352 top_k_accuracy_5=0.605000 | |
| Epoch[14] Batch [1200] Speed: 1297.64 samples/sec accuracy=0.356875 top_k_accuracy_5=0.600078 | |
| Epoch[14] Batch [1300] Speed: 1292.26 samples/sec accuracy=0.352109 top_k_accuracy_5=0.597539 | |
| Epoch[14] Batch [1400] Speed: 1295.33 samples/sec accuracy=0.353438 top_k_accuracy_5=0.602227 | |
| Epoch[14] Batch [1500] Speed: 1290.75 samples/sec accuracy=0.357227 top_k_accuracy_5=0.600898 | |
| Epoch[14] Batch [1600] Speed: 1290.79 samples/sec accuracy=0.352344 top_k_accuracy_5=0.599453 | |
| Epoch[14] Batch [1700] Speed: 1290.06 samples/sec accuracy=0.350898 top_k_accuracy_5=0.597187 | |
| Epoch[14] Batch [1800] Speed: 1290.24 samples/sec accuracy=0.349844 top_k_accuracy_5=0.596719 | |
| Epoch[14] Batch [1900] Speed: 1290.67 samples/sec accuracy=0.353945 top_k_accuracy_5=0.600547 | |
| Epoch[14] Batch [2000] Speed: 1298.45 samples/sec accuracy=0.354531 top_k_accuracy_5=0.596680 | |
| Epoch[14] Batch [2100] Speed: 1297.04 samples/sec accuracy=0.348633 top_k_accuracy_5=0.596523 | |
| Epoch[14] Batch [2200] Speed: 1289.80 samples/sec accuracy=0.351758 top_k_accuracy_5=0.597656 | |
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| Epoch[14] Batch [2400] Speed: 1290.93 samples/sec accuracy=0.348906 top_k_accuracy_5=0.593359 | |
| Epoch[14] Batch [2500] Speed: 1296.88 samples/sec accuracy=0.358633 top_k_accuracy_5=0.601875 | |
| Epoch[14] Batch [2600] Speed: 1290.06 samples/sec accuracy=0.353438 top_k_accuracy_5=0.599258 | |
| Epoch[14] Batch [2700] Speed: 1289.12 samples/sec accuracy=0.355469 top_k_accuracy_5=0.599492 | |
| Epoch[14] Batch [2800] Speed: 1301.06 samples/sec accuracy=0.357930 top_k_accuracy_5=0.597930 | |
| Epoch[14] Batch [2900] Speed: 1294.74 samples/sec accuracy=0.358242 top_k_accuracy_5=0.601055 | |
| Epoch[14] Batch [3000] Speed: 1286.78 samples/sec accuracy=0.348984 top_k_accuracy_5=0.590742 | |
| Epoch[14] Batch [3100] Speed: 1295.89 samples/sec accuracy=0.353398 top_k_accuracy_5=0.596367 | |
| Epoch[14] Batch [3200] Speed: 1301.87 samples/sec accuracy=0.358086 top_k_accuracy_5=0.603828 | |
| Epoch[14] Batch [3300] Speed: 1295.62 samples/sec accuracy=0.355547 top_k_accuracy_5=0.597891 | |
| Epoch[14] Batch [3400] Speed: 1292.56 samples/sec accuracy=0.360000 top_k_accuracy_5=0.603281 | |
| Epoch[14] Batch [3500] Speed: 1297.97 samples/sec accuracy=0.358047 top_k_accuracy_5=0.602031 | |
| Epoch[14] Batch [3600] Speed: 1291.66 samples/sec accuracy=0.353789 top_k_accuracy_5=0.599922 | |
| Epoch[14] Batch [3700] Speed: 1289.45 samples/sec accuracy=0.353047 top_k_accuracy_5=0.607070 | |
| Epoch[14] Batch [3800] Speed: 1290.31 samples/sec accuracy=0.357305 top_k_accuracy_5=0.603008 | |
| Epoch[14] Batch [3900] Speed: 1280.86 samples/sec accuracy=0.354609 top_k_accuracy_5=0.595313 | |
| Epoch[14] Batch [4000] Speed: 1289.45 samples/sec accuracy=0.358086 top_k_accuracy_5=0.604219 | |
| Epoch[14] Batch [4100] Speed: 1286.32 samples/sec accuracy=0.349805 top_k_accuracy_5=0.595156 | |
| Epoch[14] Batch [4200] Speed: 1285.80 samples/sec accuracy=0.357109 top_k_accuracy_5=0.600625 | |
| Epoch[14] Batch [4300] Speed: 1301.03 samples/sec accuracy=0.354258 top_k_accuracy_5=0.597734 | |
| Epoch[14] Batch [4400] Speed: 1286.54 samples/sec accuracy=0.359336 top_k_accuracy_5=0.604258 | |
| Epoch[14] Batch [4500] Speed: 1286.13 samples/sec accuracy=0.354063 top_k_accuracy_5=0.603320 | |
| Epoch[14] Batch [4600] Speed: 1288.09 samples/sec accuracy=0.352344 top_k_accuracy_5=0.597617 | |
| Epoch[14] Batch [4700] Speed: 1278.09 samples/sec accuracy=0.355078 top_k_accuracy_5=0.601641 | |
| Epoch[14] Batch [4800] Speed: 1280.46 samples/sec accuracy=0.358438 top_k_accuracy_5=0.601406 | |
| Epoch[14] Batch [4900] Speed: 1279.60 samples/sec accuracy=0.358203 top_k_accuracy_5=0.608711 | |
| Epoch[14] Batch [5000] Speed: 1281.61 samples/sec accuracy=0.354570 top_k_accuracy_5=0.605977 | |
| Epoch[14] Train-accuracy=0.353516 | |
| Epoch[14] Train-top_k_accuracy_5=0.588867 | |
| Epoch[14] Time cost=990.995 | |
| Saved checkpoint to "model/resnet18-0015.params" | |
| Epoch[14] Validation-accuracy=0.366727 | |
| Epoch[14] Validation-top_k_accuracy_5=0.623057 | |
| Epoch[15] Batch [100] Speed: 1266.35 samples/sec accuracy=0.358756 top_k_accuracy_5=0.607905 | |
| Epoch[15] Batch [200] Speed: 1282.43 samples/sec accuracy=0.356758 top_k_accuracy_5=0.599492 | |
| Epoch[15] Batch [300] Speed: 1276.83 samples/sec accuracy=0.352773 top_k_accuracy_5=0.600938 | |
| Epoch[15] Batch [400] Speed: 1286.72 samples/sec accuracy=0.352656 top_k_accuracy_5=0.600430 | |
| Epoch[15] Batch [500] Speed: 1289.37 samples/sec accuracy=0.363320 top_k_accuracy_5=0.604609 | |
| Epoch[15] Batch [600] Speed: 1287.11 samples/sec accuracy=0.356914 top_k_accuracy_5=0.601992 | |
| Epoch[15] Batch [700] Speed: 1289.19 samples/sec accuracy=0.353398 top_k_accuracy_5=0.600508 | |
| Epoch[15] Batch [800] Speed: 1289.69 samples/sec accuracy=0.360039 top_k_accuracy_5=0.599102 | |
| Epoch[15] Batch [900] Speed: 1288.54 samples/sec accuracy=0.358477 top_k_accuracy_5=0.604023 | |
| Epoch[15] Batch [1000] Speed: 1290.12 samples/sec accuracy=0.352930 top_k_accuracy_5=0.601016 | |
| Epoch[15] Batch [1100] Speed: 1294.84 samples/sec accuracy=0.356875 top_k_accuracy_5=0.603047 | |
| Epoch[15] Batch [1200] Speed: 1291.85 samples/sec accuracy=0.357969 top_k_accuracy_5=0.603242 | |
| Epoch[15] Batch [1300] Speed: 1292.24 samples/sec accuracy=0.355938 top_k_accuracy_5=0.598750 | |
| Epoch[15] Batch [1400] Speed: 1297.00 samples/sec accuracy=0.356680 top_k_accuracy_5=0.598984 | |
| Epoch[15] Batch [1500] Speed: 1282.48 samples/sec accuracy=0.356445 top_k_accuracy_5=0.603594 | |
| Epoch[15] Batch [1600] Speed: 1282.92 samples/sec accuracy=0.354219 top_k_accuracy_5=0.598594 | |
| Epoch[15] Batch [1700] Speed: 1289.14 samples/sec accuracy=0.359258 top_k_accuracy_5=0.604297 | |
| Epoch[15] Batch [1800] Speed: 1294.26 samples/sec accuracy=0.355234 top_k_accuracy_5=0.604805 | |
| Epoch[15] Batch [1900] Speed: 1289.40 samples/sec accuracy=0.356641 top_k_accuracy_5=0.603437 | |
| Epoch[15] Batch [2000] Speed: 1297.15 samples/sec accuracy=0.359766 top_k_accuracy_5=0.604727 | |
| Epoch[15] Batch [2100] Speed: 1308.97 samples/sec accuracy=0.353438 top_k_accuracy_5=0.599141 | |
| Epoch[15] Batch [2200] Speed: 1315.50 samples/sec accuracy=0.349922 top_k_accuracy_5=0.598398 | |
| Epoch[15] Batch [2300] Speed: 1300.69 samples/sec accuracy=0.355352 top_k_accuracy_5=0.603047 | |
| Epoch[15] Batch [2400] Speed: 1311.63 samples/sec accuracy=0.355469 top_k_accuracy_5=0.600156 | |
| Epoch[15] Batch [2500] Speed: 1309.22 samples/sec accuracy=0.360430 top_k_accuracy_5=0.602969 | |
| Epoch[15] Batch [2600] Speed: 1301.79 samples/sec accuracy=0.357461 top_k_accuracy_5=0.606641 | |
| Epoch[15] Batch [2700] Speed: 1313.54 samples/sec accuracy=0.356523 top_k_accuracy_5=0.602227 | |
| Epoch[15] Batch [2800] Speed: 1313.12 samples/sec accuracy=0.357734 top_k_accuracy_5=0.602266 | |
| Epoch[15] Batch [2900] Speed: 1303.33 samples/sec accuracy=0.358477 top_k_accuracy_5=0.599922 | |
| Epoch[15] Batch [3000] Speed: 1304.32 samples/sec accuracy=0.355703 top_k_accuracy_5=0.601133 | |
| Epoch[15] Batch [3100] Speed: 1307.63 samples/sec accuracy=0.355508 top_k_accuracy_5=0.602969 | |
| Epoch[15] Batch [3200] Speed: 1311.46 samples/sec accuracy=0.358477 top_k_accuracy_5=0.603086 | |
| Epoch[15] Batch [3300] Speed: 1295.45 samples/sec accuracy=0.354141 top_k_accuracy_5=0.598555 | |
| Epoch[15] Batch [3400] Speed: 1294.06 samples/sec accuracy=0.355664 top_k_accuracy_5=0.603867 | |
| Epoch[15] Batch [3500] Speed: 1297.67 samples/sec accuracy=0.365508 top_k_accuracy_5=0.606406 | |
| Epoch[15] Batch [3600] Speed: 1285.51 samples/sec accuracy=0.352969 top_k_accuracy_5=0.599766 | |
| Epoch[15] Batch [3700] Speed: 1289.56 samples/sec accuracy=0.355039 top_k_accuracy_5=0.603164 | |
| Epoch[15] Batch [3800] Speed: 1288.82 samples/sec accuracy=0.362070 top_k_accuracy_5=0.605820 | |
| Epoch[15] Batch [3900] Speed: 1292.52 samples/sec accuracy=0.354766 top_k_accuracy_5=0.597383 | |
| Epoch[15] Batch [4000] Speed: 1297.68 samples/sec accuracy=0.361133 top_k_accuracy_5=0.609766 | |
| Epoch[15] Batch [4100] Speed: 1301.03 samples/sec accuracy=0.352852 top_k_accuracy_5=0.602656 | |
| Epoch[15] Batch [4200] Speed: 1292.90 samples/sec accuracy=0.353125 top_k_accuracy_5=0.601289 | |
| Epoch[15] Batch [4300] Speed: 1300.09 samples/sec accuracy=0.355156 top_k_accuracy_5=0.601016 | |
| Epoch[15] Batch [4400] Speed: 1297.70 samples/sec accuracy=0.358008 top_k_accuracy_5=0.606094 | |
| Epoch[15] Batch [4500] Speed: 1295.03 samples/sec accuracy=0.353594 top_k_accuracy_5=0.602422 | |
| Epoch[15] Batch [4600] Speed: 1291.22 samples/sec accuracy=0.355977 top_k_accuracy_5=0.607930 | |
| Epoch[15] Batch [4700] Speed: 1289.07 samples/sec accuracy=0.360781 top_k_accuracy_5=0.603477 | |
| Epoch[15] Batch [4800] Speed: 1289.81 samples/sec accuracy=0.359727 top_k_accuracy_5=0.602031 | |
| Epoch[15] Batch [4900] Speed: 1294.01 samples/sec accuracy=0.365117 top_k_accuracy_5=0.610664 | |
| Epoch[15] Batch [5000] Speed: 1288.62 samples/sec accuracy=0.352383 top_k_accuracy_5=0.601562 | |
| Epoch[15] Train-accuracy=0.369792 | |
| Epoch[15] Train-top_k_accuracy_5=0.583333 | |
| Epoch[15] Time cost=989.706 | |
| Saved checkpoint to "model/resnet18-0016.params" | |
| Epoch[15] Validation-accuracy=0.369431 | |
| Epoch[15] Validation-top_k_accuracy_5=0.626142 | |
| Epoch[16] Batch [100] Speed: 1291.43 samples/sec accuracy=0.363552 top_k_accuracy_5=0.610497 | |
| Epoch[16] Batch [200] Speed: 1292.84 samples/sec accuracy=0.353555 top_k_accuracy_5=0.599414 | |
| Epoch[16] Batch [300] Speed: 1299.19 samples/sec accuracy=0.356094 top_k_accuracy_5=0.608203 | |
| Epoch[16] Batch [400] Speed: 1291.87 samples/sec accuracy=0.354023 top_k_accuracy_5=0.601445 | |
| Epoch[16] Batch [500] Speed: 1299.80 samples/sec accuracy=0.361797 top_k_accuracy_5=0.602773 | |
| Epoch[16] Batch [600] Speed: 1297.98 samples/sec accuracy=0.361602 top_k_accuracy_5=0.603633 | |
| Epoch[16] Batch [700] Speed: 1294.39 samples/sec accuracy=0.357539 top_k_accuracy_5=0.603789 | |
| Epoch[16] Batch [800] Speed: 1292.88 samples/sec accuracy=0.355586 top_k_accuracy_5=0.599961 | |
| Epoch[16] Batch [900] Speed: 1288.57 samples/sec accuracy=0.359375 top_k_accuracy_5=0.604727 | |
| Epoch[16] Batch [1000] Speed: 1297.30 samples/sec accuracy=0.353359 top_k_accuracy_5=0.601758 | |
| Epoch[16] Batch [1100] Speed: 1289.97 samples/sec accuracy=0.364102 top_k_accuracy_5=0.608008 | |
| Epoch[16] Batch [1200] Speed: 1289.23 samples/sec accuracy=0.358789 top_k_accuracy_5=0.603281 | |
| Epoch[16] Batch [1300] Speed: 1295.74 samples/sec accuracy=0.357656 top_k_accuracy_5=0.599492 | |
| Epoch[16] Batch [1400] Speed: 1294.70 samples/sec accuracy=0.362148 top_k_accuracy_5=0.606289 | |
| Epoch[16] Batch [1500] Speed: 1300.34 samples/sec accuracy=0.358672 top_k_accuracy_5=0.601328 | |
| Epoch[16] Batch [1600] Speed: 1288.88 samples/sec accuracy=0.352578 top_k_accuracy_5=0.604883 | |
| Epoch[16] Batch [1700] Speed: 1292.68 samples/sec accuracy=0.357148 top_k_accuracy_5=0.603398 | |
| Epoch[16] Batch [1800] Speed: 1287.56 samples/sec accuracy=0.357383 top_k_accuracy_5=0.604648 | |
| Epoch[16] Batch [1900] Speed: 1298.40 samples/sec accuracy=0.356523 top_k_accuracy_5=0.603086 | |
| Epoch[16] Batch [2000] Speed: 1286.12 samples/sec accuracy=0.361523 top_k_accuracy_5=0.607070 | |
| Epoch[16] Batch [2100] Speed: 1283.56 samples/sec accuracy=0.354648 top_k_accuracy_5=0.598008 | |
| Epoch[16] Batch [2200] Speed: 1283.58 samples/sec accuracy=0.354766 top_k_accuracy_5=0.599297 | |
| Epoch[16] Batch [2300] Speed: 1290.27 samples/sec accuracy=0.352422 top_k_accuracy_5=0.597734 | |
| Epoch[16] Batch [2400] Speed: 1284.49 samples/sec accuracy=0.355625 top_k_accuracy_5=0.600469 | |
| Epoch[16] Batch [2500] Speed: 1283.02 samples/sec accuracy=0.357227 top_k_accuracy_5=0.603086 | |
| Epoch[16] Batch [2600] Speed: 1283.96 samples/sec accuracy=0.360820 top_k_accuracy_5=0.602812 | |
| Epoch[16] Batch [2700] Speed: 1289.89 samples/sec accuracy=0.354883 top_k_accuracy_5=0.599258 | |
| Epoch[16] Batch [2800] Speed: 1282.00 samples/sec accuracy=0.362070 top_k_accuracy_5=0.604492 | |
| Epoch[16] Batch [2900] Speed: 1282.09 samples/sec accuracy=0.360625 top_k_accuracy_5=0.603477 | |
| Epoch[16] Batch [3000] Speed: 1278.36 samples/sec accuracy=0.352305 top_k_accuracy_5=0.600273 | |
| Epoch[16] Batch [3100] Speed: 1291.08 samples/sec accuracy=0.356367 top_k_accuracy_5=0.602148 | |
| Epoch[16] Batch [3200] Speed: 1288.52 samples/sec accuracy=0.359492 top_k_accuracy_5=0.605352 | |
| Epoch[16] Batch [3300] Speed: 1294.94 samples/sec accuracy=0.353516 top_k_accuracy_5=0.599102 | |
| Epoch[16] Batch [3400] Speed: 1284.53 samples/sec accuracy=0.364375 top_k_accuracy_5=0.607422 | |
| Epoch[16] Batch [3500] Speed: 1285.57 samples/sec accuracy=0.360938 top_k_accuracy_5=0.603906 | |
| Epoch[16] Batch [3600] Speed: 1289.51 samples/sec accuracy=0.358047 top_k_accuracy_5=0.609844 | |
| Epoch[16] Batch [3700] Speed: 1280.38 samples/sec accuracy=0.353047 top_k_accuracy_5=0.604570 | |
| Epoch[16] Batch [3800] Speed: 1291.73 samples/sec accuracy=0.362266 top_k_accuracy_5=0.604805 | |
| Epoch[16] Batch [3900] Speed: 1292.12 samples/sec accuracy=0.356367 top_k_accuracy_5=0.600313 | |
| Epoch[16] Batch [4000] Speed: 1286.91 samples/sec accuracy=0.361016 top_k_accuracy_5=0.606172 | |
| Epoch[16] Batch [4100] Speed: 1291.40 samples/sec accuracy=0.354336 top_k_accuracy_5=0.602148 | |
| Epoch[16] Batch [4200] Speed: 1289.35 samples/sec accuracy=0.361563 top_k_accuracy_5=0.601953 | |
| Epoch[16] Batch [4300] Speed: 1295.08 samples/sec accuracy=0.359805 top_k_accuracy_5=0.602656 | |
| Epoch[16] Batch [4400] Speed: 1288.13 samples/sec accuracy=0.361250 top_k_accuracy_5=0.605078 | |
| Epoch[16] Batch [4500] Speed: 1287.17 samples/sec accuracy=0.360391 top_k_accuracy_5=0.605430 | |
| Epoch[16] Batch [4600] Speed: 1293.81 samples/sec accuracy=0.360000 top_k_accuracy_5=0.601992 | |
| Epoch[16] Batch [4700] Speed: 1297.45 samples/sec accuracy=0.355430 top_k_accuracy_5=0.603242 | |
| Epoch[16] Batch [4800] Speed: 1295.69 samples/sec accuracy=0.357539 top_k_accuracy_5=0.600117 | |
| Epoch[16] Batch [4900] Speed: 1300.66 samples/sec accuracy=0.362422 top_k_accuracy_5=0.610820 | |
| Epoch[16] Batch [5000] Speed: 1286.71 samples/sec accuracy=0.358672 top_k_accuracy_5=0.605938 | |
| Epoch[16] Train-accuracy=0.357422 | |
| Epoch[16] Train-top_k_accuracy_5=0.583984 | |
| Epoch[16] Time cost=993.255 | |
| Saved checkpoint to "model/resnet18-0017.params" | |
| Epoch[16] Validation-accuracy=0.361647 | |
| Epoch[16] Validation-top_k_accuracy_5=0.619300 | |
| Epoch[17] Batch [100] Speed: 1282.96 samples/sec accuracy=0.361502 top_k_accuracy_5=0.608756 | |
| Epoch[17] Batch [200] Speed: 1288.17 samples/sec accuracy=0.358438 top_k_accuracy_5=0.605703 | |
| Epoch[17] Batch [300] Speed: 1300.23 samples/sec accuracy=0.359258 top_k_accuracy_5=0.608203 | |
| Epoch[17] Batch [400] Speed: 1285.55 samples/sec accuracy=0.355430 top_k_accuracy_5=0.601562 | |
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| Epoch[17] Batch [600] Speed: 1279.01 samples/sec accuracy=0.360781 top_k_accuracy_5=0.604883 | |
| Epoch[17] Batch [700] Speed: 1290.02 samples/sec accuracy=0.358359 top_k_accuracy_5=0.601680 | |
| Epoch[17] Batch [800] Speed: 1298.03 samples/sec accuracy=0.355039 top_k_accuracy_5=0.599102 | |
| Epoch[17] Batch [900] Speed: 1281.03 samples/sec accuracy=0.361914 top_k_accuracy_5=0.606094 | |
| Epoch[17] Batch [1000] Speed: 1286.81 samples/sec accuracy=0.361016 top_k_accuracy_5=0.605703 | |
| Epoch[17] Batch [1100] Speed: 1296.26 samples/sec accuracy=0.359063 top_k_accuracy_5=0.604727 | |
| Epoch[17] Batch [1200] Speed: 1280.43 samples/sec accuracy=0.360391 top_k_accuracy_5=0.601914 | |
| Epoch[17] Batch [1300] Speed: 1296.56 samples/sec accuracy=0.356914 top_k_accuracy_5=0.605313 | |
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| Epoch[17] Batch [1500] Speed: 1284.29 samples/sec accuracy=0.361875 top_k_accuracy_5=0.609766 | |
| Epoch[17] Batch [1600] Speed: 1287.10 samples/sec accuracy=0.356836 top_k_accuracy_5=0.601680 | |
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| Epoch[17] Batch [1800] Speed: 1287.49 samples/sec accuracy=0.359844 top_k_accuracy_5=0.605156 | |
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| Epoch[17] Batch [2000] Speed: 1297.18 samples/sec accuracy=0.357500 top_k_accuracy_5=0.603320 | |
| Epoch[17] Batch [2100] Speed: 1301.29 samples/sec accuracy=0.356992 top_k_accuracy_5=0.606172 | |
| Epoch[17] Batch [2200] Speed: 1304.05 samples/sec accuracy=0.357852 top_k_accuracy_5=0.608320 | |
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| Epoch[17] Batch [2500] Speed: 1309.82 samples/sec accuracy=0.356289 top_k_accuracy_5=0.600859 | |
| Epoch[17] Batch [2600] Speed: 1304.27 samples/sec accuracy=0.360039 top_k_accuracy_5=0.603828 | |
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| Epoch[17] Batch [2800] Speed: 1295.53 samples/sec accuracy=0.358984 top_k_accuracy_5=0.606016 | |
| Epoch[17] Batch [2900] Speed: 1297.81 samples/sec accuracy=0.360703 top_k_accuracy_5=0.603945 | |
| Epoch[17] Batch [3000] Speed: 1302.81 samples/sec accuracy=0.356016 top_k_accuracy_5=0.603437 | |
| Epoch[17] Batch [3100] Speed: 1302.19 samples/sec accuracy=0.362734 top_k_accuracy_5=0.606992 | |
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| Epoch[17] Batch [3600] Speed: 1295.87 samples/sec accuracy=0.357344 top_k_accuracy_5=0.602773 | |
| Epoch[17] Batch [3700] Speed: 1299.22 samples/sec accuracy=0.358047 top_k_accuracy_5=0.600234 | |
| Epoch[17] Batch [3800] Speed: 1299.73 samples/sec accuracy=0.360938 top_k_accuracy_5=0.606875 | |
| Epoch[17] Batch [3900] Speed: 1303.95 samples/sec accuracy=0.358438 top_k_accuracy_5=0.599961 | |
| Epoch[17] Batch [4000] Speed: 1295.39 samples/sec accuracy=0.359922 top_k_accuracy_5=0.607227 | |
| Epoch[17] Batch [4100] Speed: 1297.19 samples/sec accuracy=0.352734 top_k_accuracy_5=0.599258 | |
| Epoch[17] Batch [4200] Speed: 1296.58 samples/sec accuracy=0.357617 top_k_accuracy_5=0.600195 | |
| Epoch[17] Batch [4300] Speed: 1303.98 samples/sec accuracy=0.357187 top_k_accuracy_5=0.606016 | |
| Epoch[17] Batch [4400] Speed: 1294.39 samples/sec accuracy=0.362305 top_k_accuracy_5=0.606953 | |
| Epoch[17] Batch [4500] Speed: 1299.36 samples/sec accuracy=0.355859 top_k_accuracy_5=0.604180 | |
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| Epoch[17] Batch [4700] Speed: 1304.27 samples/sec accuracy=0.361133 top_k_accuracy_5=0.607266 | |
| Epoch[17] Batch [4800] Speed: 1302.46 samples/sec accuracy=0.362656 top_k_accuracy_5=0.605664 | |
| Epoch[17] Batch [4900] Speed: 1306.86 samples/sec accuracy=0.371367 top_k_accuracy_5=0.612461 | |
| Epoch[17] Batch [5000] Speed: 1288.31 samples/sec accuracy=0.362383 top_k_accuracy_5=0.603555 | |
| Epoch[17] Train-accuracy=0.333008 | |
| Epoch[17] Train-top_k_accuracy_5=0.578125 | |
| Epoch[17] Time cost=989.427 | |
| Saved checkpoint to "model/resnet18-0018.params" | |
| Epoch[17] Validation-accuracy=0.356711 | |
| Epoch[17] Validation-top_k_accuracy_5=0.610317 | |
| Epoch[18] Batch [100] Speed: 1284.54 samples/sec accuracy=0.361347 top_k_accuracy_5=0.610187 | |
| Epoch[18] Batch [200] Speed: 1298.27 samples/sec accuracy=0.358047 top_k_accuracy_5=0.599648 | |
| Epoch[18] Batch [300] Speed: 1297.51 samples/sec accuracy=0.358086 top_k_accuracy_5=0.608242 | |
| Epoch[18] Batch [400] Speed: 1299.43 samples/sec accuracy=0.362930 top_k_accuracy_5=0.606563 | |
| Epoch[18] Batch [500] Speed: 1301.06 samples/sec accuracy=0.365312 top_k_accuracy_5=0.614023 | |
| Epoch[18] Batch [600] Speed: 1299.21 samples/sec accuracy=0.354531 top_k_accuracy_5=0.606055 | |
| Epoch[18] Batch [700] Speed: 1298.64 samples/sec accuracy=0.359727 top_k_accuracy_5=0.607187 | |
| Epoch[18] Batch [800] Speed: 1291.08 samples/sec accuracy=0.361094 top_k_accuracy_5=0.607031 | |
| Epoch[18] Batch [900] Speed: 1299.63 samples/sec accuracy=0.363125 top_k_accuracy_5=0.604570 | |
| Epoch[18] Batch [1000] Speed: 1300.08 samples/sec accuracy=0.352617 top_k_accuracy_5=0.602109 | |
| Epoch[18] Batch [1100] Speed: 1301.55 samples/sec accuracy=0.368008 top_k_accuracy_5=0.613320 | |
| Epoch[18] Batch [1200] Speed: 1324.98 samples/sec accuracy=0.355664 top_k_accuracy_5=0.603945 | |
| Epoch[18] Batch [1300] Speed: 1306.11 samples/sec accuracy=0.356406 top_k_accuracy_5=0.605352 | |
| Epoch[18] Batch [1400] Speed: 1304.59 samples/sec accuracy=0.363750 top_k_accuracy_5=0.608008 | |
| Epoch[18] Batch [1500] Speed: 1314.43 samples/sec accuracy=0.357461 top_k_accuracy_5=0.605625 | |
| Epoch[18] Batch [1600] Speed: 1311.95 samples/sec accuracy=0.355391 top_k_accuracy_5=0.604180 | |
| Epoch[18] Batch [1700] Speed: 1306.21 samples/sec accuracy=0.357305 top_k_accuracy_5=0.606094 | |
| Epoch[18] Batch [1800] Speed: 1313.29 samples/sec accuracy=0.358203 top_k_accuracy_5=0.605898 | |
| Epoch[18] Batch [1900] Speed: 1302.44 samples/sec accuracy=0.362031 top_k_accuracy_5=0.602891 | |
| Epoch[18] Batch [2000] Speed: 1305.99 samples/sec accuracy=0.360234 top_k_accuracy_5=0.606523 | |
| Epoch[18] Batch [2100] Speed: 1307.51 samples/sec accuracy=0.359180 top_k_accuracy_5=0.609961 | |
| Epoch[18] Batch [2200] Speed: 1308.52 samples/sec accuracy=0.354023 top_k_accuracy_5=0.600820 | |
| Epoch[18] Batch [2300] Speed: 1306.46 samples/sec accuracy=0.358438 top_k_accuracy_5=0.604141 | |
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| Epoch[18] Batch [2500] Speed: 1304.57 samples/sec accuracy=0.363242 top_k_accuracy_5=0.608867 | |
| Epoch[18] Batch [2600] Speed: 1305.71 samples/sec accuracy=0.361875 top_k_accuracy_5=0.605117 | |
| Epoch[18] Batch [2700] Speed: 1299.79 samples/sec accuracy=0.356719 top_k_accuracy_5=0.604688 | |
| Epoch[18] Batch [2800] Speed: 1303.25 samples/sec accuracy=0.358984 top_k_accuracy_5=0.607344 | |
| Epoch[18] Batch [2900] Speed: 1296.21 samples/sec accuracy=0.367109 top_k_accuracy_5=0.607773 | |
| Epoch[18] Batch [3000] Speed: 1303.22 samples/sec accuracy=0.355977 top_k_accuracy_5=0.600352 | |
| Epoch[18] Batch [3100] Speed: 1305.16 samples/sec accuracy=0.361367 top_k_accuracy_5=0.602148 | |
| Epoch[18] Batch [3200] Speed: 1308.68 samples/sec accuracy=0.361484 top_k_accuracy_5=0.607461 | |
| Epoch[18] Batch [3300] Speed: 1305.53 samples/sec accuracy=0.362695 top_k_accuracy_5=0.603594 | |
| Epoch[18] Batch [3400] Speed: 1312.30 samples/sec accuracy=0.361797 top_k_accuracy_5=0.608477 | |
| Epoch[18] Batch [3500] Speed: 1305.94 samples/sec accuracy=0.367734 top_k_accuracy_5=0.610391 | |
| Epoch[18] Batch [3600] Speed: 1305.73 samples/sec accuracy=0.359023 top_k_accuracy_5=0.607969 | |
| Epoch[18] Batch [3700] Speed: 1304.16 samples/sec accuracy=0.358438 top_k_accuracy_5=0.604805 | |
| Epoch[18] Batch [3800] Speed: 1298.30 samples/sec accuracy=0.365820 top_k_accuracy_5=0.609805 | |
| Epoch[18] Batch [3900] Speed: 1308.94 samples/sec accuracy=0.363281 top_k_accuracy_5=0.607969 | |
| Epoch[18] Batch [4000] Speed: 1310.97 samples/sec accuracy=0.365039 top_k_accuracy_5=0.609492 | |
| Epoch[18] Batch [4100] Speed: 1301.50 samples/sec accuracy=0.357070 top_k_accuracy_5=0.603711 | |
| Epoch[18] Batch [4200] Speed: 1298.04 samples/sec accuracy=0.363203 top_k_accuracy_5=0.607695 | |
| Epoch[18] Batch [4300] Speed: 1302.87 samples/sec accuracy=0.360625 top_k_accuracy_5=0.603906 | |
| Epoch[18] Batch [4400] Speed: 1298.22 samples/sec accuracy=0.360117 top_k_accuracy_5=0.605117 | |
| Epoch[18] Batch [4500] Speed: 1304.36 samples/sec accuracy=0.365703 top_k_accuracy_5=0.607852 | |
| Epoch[18] Batch [4600] Speed: 1294.47 samples/sec accuracy=0.361367 top_k_accuracy_5=0.602891 | |
| Epoch[18] Batch [4700] Speed: 1298.20 samples/sec accuracy=0.356172 top_k_accuracy_5=0.605703 | |
| Epoch[18] Batch [4800] Speed: 1301.27 samples/sec accuracy=0.356992 top_k_accuracy_5=0.604570 | |
| Epoch[18] Batch [4900] Speed: 1304.49 samples/sec accuracy=0.366055 top_k_accuracy_5=0.605781 | |
| Epoch[18] Batch [5000] Speed: 1296.94 samples/sec accuracy=0.360312 top_k_accuracy_5=0.605664 | |
| Epoch[18] Train-accuracy=0.354167 | |
| Epoch[18] Train-top_k_accuracy_5=0.593750 | |
| Epoch[18] Time cost=983.257 | |
| Saved checkpoint to "model/resnet18-0019.params" | |
| Epoch[18] Validation-accuracy=0.369611 | |
| Epoch[18] Validation-top_k_accuracy_5=0.622977 | |
| Epoch[19] Batch [100] Speed: 1289.23 samples/sec accuracy=0.365331 top_k_accuracy_5=0.613977 | |
| Epoch[19] Batch [200] Speed: 1292.70 samples/sec accuracy=0.359180 top_k_accuracy_5=0.601641 | |
| Epoch[19] Batch [300] Speed: 1290.75 samples/sec accuracy=0.362109 top_k_accuracy_5=0.608555 | |
| Epoch[19] Batch [400] Speed: 1293.49 samples/sec accuracy=0.360391 top_k_accuracy_5=0.606797 | |
| Epoch[19] Batch [500] Speed: 1297.61 samples/sec accuracy=0.365195 top_k_accuracy_5=0.613320 | |
| Epoch[19] Batch [600] Speed: 1306.85 samples/sec accuracy=0.362930 top_k_accuracy_5=0.611758 | |
| Epoch[19] Batch [700] Speed: 1302.21 samples/sec accuracy=0.362422 top_k_accuracy_5=0.605117 | |
| Epoch[19] Batch [800] Speed: 1302.19 samples/sec accuracy=0.358359 top_k_accuracy_5=0.602031 | |
| Epoch[19] Batch [900] Speed: 1305.67 samples/sec accuracy=0.366953 top_k_accuracy_5=0.608047 | |
| Epoch[19] Batch [1000] Speed: 1310.02 samples/sec accuracy=0.363711 top_k_accuracy_5=0.607812 | |
| Epoch[19] Batch [1100] Speed: 1306.05 samples/sec accuracy=0.365781 top_k_accuracy_5=0.612734 | |
| Epoch[19] Batch [1200] Speed: 1302.64 samples/sec accuracy=0.363125 top_k_accuracy_5=0.609648 | |
| Epoch[19] Batch [1300] Speed: 1306.19 samples/sec accuracy=0.358594 top_k_accuracy_5=0.604023 | |
| Epoch[19] Batch [1400] Speed: 1300.63 samples/sec accuracy=0.363281 top_k_accuracy_5=0.611406 | |
| Epoch[19] Batch [1500] Speed: 1302.89 samples/sec accuracy=0.358984 top_k_accuracy_5=0.608437 | |
| Epoch[19] Batch [1600] Speed: 1295.12 samples/sec accuracy=0.357969 top_k_accuracy_5=0.608008 | |
| Epoch[19] Batch [1700] Speed: 1302.45 samples/sec accuracy=0.361055 top_k_accuracy_5=0.611484 | |
| Epoch[19] Batch [1800] Speed: 1307.82 samples/sec accuracy=0.360586 top_k_accuracy_5=0.608320 | |
| Epoch[19] Batch [1900] Speed: 1302.06 samples/sec accuracy=0.360234 top_k_accuracy_5=0.608711 | |
| Epoch[19] Batch [2000] Speed: 1302.34 samples/sec accuracy=0.359648 top_k_accuracy_5=0.607617 | |
| Epoch[19] Batch [2100] Speed: 1303.18 samples/sec accuracy=0.356602 top_k_accuracy_5=0.606641 | |
| Epoch[19] Batch [2200] Speed: 1303.11 samples/sec accuracy=0.360312 top_k_accuracy_5=0.608398 | |
| Epoch[19] Batch [2300] Speed: 1296.69 samples/sec accuracy=0.357852 top_k_accuracy_5=0.602773 | |
| Epoch[19] Batch [2400] Speed: 1306.91 samples/sec accuracy=0.357891 top_k_accuracy_5=0.605938 | |
| Epoch[19] Batch [2500] Speed: 1293.17 samples/sec accuracy=0.361055 top_k_accuracy_5=0.607305 | |
| Epoch[19] Batch [2600] Speed: 1303.19 samples/sec accuracy=0.358242 top_k_accuracy_5=0.605898 | |
| Epoch[19] Batch [2700] Speed: 1301.10 samples/sec accuracy=0.360312 top_k_accuracy_5=0.609961 | |
| Epoch[19] Batch [2800] Speed: 1307.11 samples/sec accuracy=0.365117 top_k_accuracy_5=0.611719 | |
| Epoch[19] Batch [2900] Speed: 1309.56 samples/sec accuracy=0.367031 top_k_accuracy_5=0.606602 | |
| Epoch[19] Batch [3000] Speed: 1288.73 samples/sec accuracy=0.359570 top_k_accuracy_5=0.602930 | |
| Epoch[19] Batch [3100] Speed: 1298.02 samples/sec accuracy=0.355352 top_k_accuracy_5=0.602930 | |
| Epoch[19] Batch [3200] Speed: 1296.10 samples/sec accuracy=0.361484 top_k_accuracy_5=0.608984 | |
| Epoch[19] Batch [3300] Speed: 1304.12 samples/sec accuracy=0.360273 top_k_accuracy_5=0.600977 | |
| Epoch[19] Batch [3400] Speed: 1300.52 samples/sec accuracy=0.363477 top_k_accuracy_5=0.609727 | |
| Epoch[19] Batch [3500] Speed: 1305.95 samples/sec accuracy=0.369648 top_k_accuracy_5=0.608984 | |
| Epoch[19] Batch [3600] Speed: 1302.20 samples/sec accuracy=0.355898 top_k_accuracy_5=0.602266 | |
| Epoch[19] Batch [3700] Speed: 1308.80 samples/sec accuracy=0.357812 top_k_accuracy_5=0.605156 | |
| Epoch[19] Batch [3800] Speed: 1305.62 samples/sec accuracy=0.363984 top_k_accuracy_5=0.607930 | |
| Epoch[19] Batch [3900] Speed: 1299.53 samples/sec accuracy=0.360664 top_k_accuracy_5=0.607852 | |
| Epoch[19] Batch [4000] Speed: 1304.97 samples/sec accuracy=0.366914 top_k_accuracy_5=0.608516 | |
| Epoch[19] Batch [4100] Speed: 1300.65 samples/sec accuracy=0.361758 top_k_accuracy_5=0.611523 | |
| Epoch[19] Batch [4200] Speed: 1306.88 samples/sec accuracy=0.364141 top_k_accuracy_5=0.609727 | |
| Epoch[19] Batch [4300] Speed: 1296.17 samples/sec accuracy=0.362383 top_k_accuracy_5=0.609141 | |
| Epoch[19] Batch [4400] Speed: 1300.30 samples/sec accuracy=0.367148 top_k_accuracy_5=0.614648 | |
| Epoch[19] Batch [4500] Speed: 1297.98 samples/sec accuracy=0.361602 top_k_accuracy_5=0.605898 | |
| Epoch[19] Batch [4600] Speed: 1301.12 samples/sec accuracy=0.360273 top_k_accuracy_5=0.608164 | |
| Epoch[19] Batch [4700] Speed: 1297.91 samples/sec accuracy=0.365625 top_k_accuracy_5=0.612500 | |
| Epoch[19] Batch [4800] Speed: 1312.19 samples/sec accuracy=0.356875 top_k_accuracy_5=0.605742 | |
| Epoch[19] Batch [4900] Speed: 1312.78 samples/sec accuracy=0.368750 top_k_accuracy_5=0.613437 | |
| Epoch[19] Batch [5000] Speed: 1298.70 samples/sec accuracy=0.360547 top_k_accuracy_5=0.602148 | |
| Epoch[19] Train-accuracy=0.334961 | |
| Epoch[19] Train-top_k_accuracy_5=0.579102 | |
| Epoch[19] Time cost=984.763 | |
| Saved checkpoint to "model/resnet18-0020.params" | |
| Epoch[19] Validation-accuracy=0.370556 | |
| Epoch[19] Validation-top_k_accuracy_5=0.622549 | |
| Epoch[20] Batch [100] Speed: 1298.28 samples/sec accuracy=0.368232 top_k_accuracy_5=0.610922 | |
| Epoch[20] Batch [200] Speed: 1300.49 samples/sec accuracy=0.364297 top_k_accuracy_5=0.608984 | |
| Epoch[20] Batch [300] Speed: 1292.53 samples/sec accuracy=0.362305 top_k_accuracy_5=0.609570 | |
| Epoch[20] Batch [400] Speed: 1304.49 samples/sec accuracy=0.358008 top_k_accuracy_5=0.603672 | |
| Epoch[20] Batch [500] Speed: 1299.16 samples/sec accuracy=0.365000 top_k_accuracy_5=0.610391 | |
| Epoch[20] Batch [600] Speed: 1303.45 samples/sec accuracy=0.364727 top_k_accuracy_5=0.606602 | |
| Epoch[20] Batch [700] Speed: 1296.94 samples/sec accuracy=0.357266 top_k_accuracy_5=0.602500 | |
| Epoch[20] Batch [800] Speed: 1301.00 samples/sec accuracy=0.360312 top_k_accuracy_5=0.608086 | |
| Epoch[20] Batch [900] Speed: 1295.39 samples/sec accuracy=0.363711 top_k_accuracy_5=0.611016 | |
| Epoch[20] Batch [1000] Speed: 1300.86 samples/sec accuracy=0.363867 top_k_accuracy_5=0.611055 | |
| Epoch[20] Batch [1100] Speed: 1303.61 samples/sec accuracy=0.365938 top_k_accuracy_5=0.614570 | |
| Epoch[20] Batch [1200] Speed: 1298.17 samples/sec accuracy=0.363789 top_k_accuracy_5=0.609766 | |
| Epoch[20] Batch [1300] Speed: 1307.29 samples/sec accuracy=0.361328 top_k_accuracy_5=0.609805 | |
| Epoch[20] Batch [1400] Speed: 1298.70 samples/sec accuracy=0.359922 top_k_accuracy_5=0.609648 | |
| Epoch[20] Batch [1500] Speed: 1305.70 samples/sec accuracy=0.361758 top_k_accuracy_5=0.608672 | |
| Epoch[20] Batch [1600] Speed: 1306.17 samples/sec accuracy=0.356875 top_k_accuracy_5=0.606055 | |
| Epoch[20] Batch [1700] Speed: 1304.89 samples/sec accuracy=0.361641 top_k_accuracy_5=0.614141 | |
| Epoch[20] Batch [1800] Speed: 1302.59 samples/sec accuracy=0.357109 top_k_accuracy_5=0.609141 | |
| Epoch[20] Batch [1900] Speed: 1294.87 samples/sec accuracy=0.359453 top_k_accuracy_5=0.610195 | |
| Epoch[20] Batch [2000] Speed: 1301.75 samples/sec accuracy=0.362969 top_k_accuracy_5=0.608047 | |
| Epoch[20] Batch [2100] Speed: 1298.26 samples/sec accuracy=0.361563 top_k_accuracy_5=0.606602 | |
| Epoch[20] Batch [2200] Speed: 1303.88 samples/sec accuracy=0.362266 top_k_accuracy_5=0.605117 | |
| Epoch[20] Batch [2300] Speed: 1301.76 samples/sec accuracy=0.361484 top_k_accuracy_5=0.602852 | |
| Epoch[20] Batch [2400] Speed: 1305.73 samples/sec accuracy=0.361641 top_k_accuracy_5=0.605508 | |
| Epoch[20] Batch [2500] Speed: 1300.11 samples/sec accuracy=0.363047 top_k_accuracy_5=0.608789 | |
| Epoch[20] Batch [2600] Speed: 1308.87 samples/sec accuracy=0.357656 top_k_accuracy_5=0.606211 | |
| Epoch[20] Batch [2700] Speed: 1288.13 samples/sec accuracy=0.361250 top_k_accuracy_5=0.609688 | |
| Epoch[20] Batch [2800] Speed: 1295.81 samples/sec accuracy=0.367148 top_k_accuracy_5=0.610625 | |
| Epoch[20] Batch [2900] Speed: 1302.07 samples/sec accuracy=0.363750 top_k_accuracy_5=0.607422 | |
| Epoch[20] Batch [3000] Speed: 1297.82 samples/sec accuracy=0.361133 top_k_accuracy_5=0.608203 | |
| Epoch[20] Batch [3100] Speed: 1296.11 samples/sec accuracy=0.364570 top_k_accuracy_5=0.608477 | |
| Epoch[20] Batch [3200] Speed: 1300.22 samples/sec accuracy=0.367266 top_k_accuracy_5=0.611133 | |
| Epoch[20] Batch [3300] Speed: 1305.95 samples/sec accuracy=0.360977 top_k_accuracy_5=0.609961 | |
| Epoch[20] Batch [3400] Speed: 1293.21 samples/sec accuracy=0.365859 top_k_accuracy_5=0.612344 | |
| Epoch[20] Batch [3500] Speed: 1300.23 samples/sec accuracy=0.369375 top_k_accuracy_5=0.613555 | |
| Epoch[20] Batch [3600] Speed: 1302.58 samples/sec accuracy=0.361914 top_k_accuracy_5=0.606836 | |
| Epoch[20] Batch [3700] Speed: 1308.24 samples/sec accuracy=0.360430 top_k_accuracy_5=0.605742 | |
| Epoch[20] Batch [3800] Speed: 1303.75 samples/sec accuracy=0.364922 top_k_accuracy_5=0.608320 | |
| Epoch[20] Batch [3900] Speed: 1304.10 samples/sec accuracy=0.363711 top_k_accuracy_5=0.604648 | |
| Epoch[20] Batch [4000] Speed: 1309.34 samples/sec accuracy=0.363359 top_k_accuracy_5=0.609102 | |
| Epoch[20] Batch [4100] Speed: 1315.53 samples/sec accuracy=0.359219 top_k_accuracy_5=0.605000 | |
| Epoch[20] Batch [4200] Speed: 1314.79 samples/sec accuracy=0.363945 top_k_accuracy_5=0.614492 | |
| Epoch[20] Batch [4300] Speed: 1299.12 samples/sec accuracy=0.360117 top_k_accuracy_5=0.606836 | |
| Epoch[20] Batch [4400] Speed: 1303.68 samples/sec accuracy=0.365742 top_k_accuracy_5=0.609492 | |
| Epoch[20] Batch [4500] Speed: 1307.44 samples/sec accuracy=0.363555 top_k_accuracy_5=0.609414 | |
| Epoch[20] Batch [4600] Speed: 1301.14 samples/sec accuracy=0.363516 top_k_accuracy_5=0.609922 | |
| Epoch[20] Batch [4700] Speed: 1302.08 samples/sec accuracy=0.365039 top_k_accuracy_5=0.609375 | |
| Epoch[20] Batch [4800] Speed: 1297.99 samples/sec accuracy=0.360234 top_k_accuracy_5=0.613867 | |
| Epoch[20] Batch [4900] Speed: 1302.03 samples/sec accuracy=0.368867 top_k_accuracy_5=0.616719 | |
| Epoch[20] Batch [5000] Speed: 1307.76 samples/sec accuracy=0.366484 top_k_accuracy_5=0.612109 | |
| Epoch[20] Train-accuracy=0.343750 | |
| Epoch[20] Train-top_k_accuracy_5=0.585938 | |
| Epoch[20] Time cost=984.380 | |
| Saved checkpoint to "model/resnet18-0021.params" | |
| Epoch[20] Validation-accuracy=0.379367 | |
| Epoch[20] Validation-top_k_accuracy_5=0.633013 | |
| Epoch[21] Batch [100] Speed: 1297.84 samples/sec accuracy=0.367613 top_k_accuracy_5=0.612817 | |
| Epoch[21] Batch [200] Speed: 1299.93 samples/sec accuracy=0.368555 top_k_accuracy_5=0.613281 | |
| Epoch[21] Batch [300] Speed: 1288.05 samples/sec accuracy=0.364180 top_k_accuracy_5=0.609570 | |
| Epoch[21] Batch [400] Speed: 1290.70 samples/sec accuracy=0.361016 top_k_accuracy_5=0.603711 | |
| Epoch[21] Batch [500] Speed: 1294.89 samples/sec accuracy=0.365547 top_k_accuracy_5=0.609102 | |
| Epoch[21] Batch [600] Speed: 1291.49 samples/sec accuracy=0.359648 top_k_accuracy_5=0.604297 | |
| Epoch[21] Batch [700] Speed: 1295.20 samples/sec accuracy=0.363008 top_k_accuracy_5=0.610430 | |
| Epoch[21] Batch [800] Speed: 1298.69 samples/sec accuracy=0.364102 top_k_accuracy_5=0.609062 | |
| Epoch[21] Batch [900] Speed: 1296.19 samples/sec accuracy=0.359687 top_k_accuracy_5=0.606719 | |
| Epoch[21] Batch [1000] Speed: 1295.27 samples/sec accuracy=0.363008 top_k_accuracy_5=0.607227 | |
| Epoch[21] Batch [1100] Speed: 1300.97 samples/sec accuracy=0.368828 top_k_accuracy_5=0.612461 | |
| Epoch[21] Batch [1200] Speed: 1300.06 samples/sec accuracy=0.365195 top_k_accuracy_5=0.607617 | |
| Epoch[21] Batch [1300] Speed: 1303.49 samples/sec accuracy=0.359297 top_k_accuracy_5=0.606914 | |
| Epoch[21] Batch [1400] Speed: 1312.62 samples/sec accuracy=0.367148 top_k_accuracy_5=0.612578 | |
| Epoch[21] Batch [1500] Speed: 1303.67 samples/sec accuracy=0.365156 top_k_accuracy_5=0.611445 | |
| Epoch[21] Batch [1600] Speed: 1305.06 samples/sec accuracy=0.361836 top_k_accuracy_5=0.609062 | |
| Epoch[21] Batch [1700] Speed: 1305.21 samples/sec accuracy=0.367422 top_k_accuracy_5=0.609648 | |
| Epoch[21] Batch [1800] Speed: 1289.52 samples/sec accuracy=0.366289 top_k_accuracy_5=0.612227 | |
| Epoch[21] Batch [1900] Speed: 1295.70 samples/sec accuracy=0.365430 top_k_accuracy_5=0.607344 | |
| Epoch[21] Batch [2000] Speed: 1294.67 samples/sec accuracy=0.366836 top_k_accuracy_5=0.615273 | |
| Epoch[21] Batch [2100] Speed: 1294.22 samples/sec accuracy=0.359180 top_k_accuracy_5=0.611250 | |
| Epoch[21] Batch [2200] Speed: 1303.41 samples/sec accuracy=0.366133 top_k_accuracy_5=0.613828 | |
| Epoch[21] Batch [2300] Speed: 1303.59 samples/sec accuracy=0.363203 top_k_accuracy_5=0.607305 | |
| Epoch[21] Batch [2400] Speed: 1309.49 samples/sec accuracy=0.360312 top_k_accuracy_5=0.610195 | |
| Epoch[21] Batch [2500] Speed: 1315.09 samples/sec accuracy=0.362539 top_k_accuracy_5=0.609805 | |
| Epoch[21] Batch [2600] Speed: 1305.08 samples/sec accuracy=0.364531 top_k_accuracy_5=0.607539 | |
| Epoch[21] Batch [2700] Speed: 1304.91 samples/sec accuracy=0.362227 top_k_accuracy_5=0.609492 | |
| Epoch[21] Batch [2800] Speed: 1316.61 samples/sec accuracy=0.367070 top_k_accuracy_5=0.612148 | |
| Epoch[21] Batch [2900] Speed: 1307.34 samples/sec accuracy=0.371133 top_k_accuracy_5=0.611289 | |
| Epoch[21] Batch [3000] Speed: 1309.26 samples/sec accuracy=0.358633 top_k_accuracy_5=0.605234 | |
| Epoch[21] Batch [3100] Speed: 1307.19 samples/sec accuracy=0.362852 top_k_accuracy_5=0.608398 | |
| Epoch[21] Batch [3200] Speed: 1300.67 samples/sec accuracy=0.369453 top_k_accuracy_5=0.612461 | |
| Epoch[21] Batch [3300] Speed: 1311.70 samples/sec accuracy=0.362891 top_k_accuracy_5=0.605820 | |
| Epoch[21] Batch [3400] Speed: 1301.84 samples/sec accuracy=0.362969 top_k_accuracy_5=0.606094 | |
| Epoch[21] Batch [3500] Speed: 1303.05 samples/sec accuracy=0.364336 top_k_accuracy_5=0.613047 | |
| Epoch[21] Batch [3600] Speed: 1297.44 samples/sec accuracy=0.362148 top_k_accuracy_5=0.613008 | |
| Epoch[21] Batch [3700] Speed: 1312.52 samples/sec accuracy=0.360547 top_k_accuracy_5=0.609883 | |
| Epoch[21] Batch [3800] Speed: 1302.32 samples/sec accuracy=0.366289 top_k_accuracy_5=0.608359 | |
| Epoch[21] Batch [3900] Speed: 1293.23 samples/sec accuracy=0.361445 top_k_accuracy_5=0.602305 | |
| Epoch[21] Batch [4000] Speed: 1311.58 samples/sec accuracy=0.372461 top_k_accuracy_5=0.615352 | |
| Epoch[21] Batch [4100] Speed: 1300.43 samples/sec accuracy=0.364922 top_k_accuracy_5=0.612812 | |
| Epoch[21] Batch [4200] Speed: 1306.83 samples/sec accuracy=0.362070 top_k_accuracy_5=0.607461 | |
| Epoch[21] Batch [4300] Speed: 1305.03 samples/sec accuracy=0.363555 top_k_accuracy_5=0.606797 | |
| Epoch[21] Batch [4400] Speed: 1313.90 samples/sec accuracy=0.364609 top_k_accuracy_5=0.608008 | |
| Epoch[21] Batch [4500] Speed: 1304.97 samples/sec accuracy=0.361328 top_k_accuracy_5=0.610586 | |
| Epoch[21] Batch [4600] Speed: 1310.30 samples/sec accuracy=0.363477 top_k_accuracy_5=0.606680 | |
| Epoch[21] Batch [4700] Speed: 1313.14 samples/sec accuracy=0.364258 top_k_accuracy_5=0.609258 | |
| Epoch[21] Batch [4800] Speed: 1306.69 samples/sec accuracy=0.358750 top_k_accuracy_5=0.608086 | |
| Epoch[21] Batch [4900] Speed: 1302.73 samples/sec accuracy=0.365312 top_k_accuracy_5=0.613047 | |
| Epoch[21] Batch [5000] Speed: 1299.69 samples/sec accuracy=0.364258 top_k_accuracy_5=0.610898 | |
| Epoch[21] Train-accuracy=0.376953 | |
| Epoch[21] Train-top_k_accuracy_5=0.593750 | |
| Epoch[21] Time cost=983.968 | |
| Saved checkpoint to "model/resnet18-0022.params" | |
| Epoch[21] Validation-accuracy=0.357352 | |
| Epoch[21] Validation-top_k_accuracy_5=0.614864 | |
| Epoch[22] Batch [100] Speed: 1297.02 samples/sec accuracy=0.364248 top_k_accuracy_5=0.615370 | |
| Epoch[22] Batch [200] Speed: 1301.57 samples/sec accuracy=0.364336 top_k_accuracy_5=0.608320 | |
| Epoch[22] Batch [300] Speed: 1302.73 samples/sec accuracy=0.363164 top_k_accuracy_5=0.611133 | |
| Epoch[22] Batch [400] Speed: 1308.40 samples/sec accuracy=0.362812 top_k_accuracy_5=0.607656 | |
| Epoch[22] Batch [500] Speed: 1306.62 samples/sec accuracy=0.369453 top_k_accuracy_5=0.611719 | |
| Epoch[22] Batch [600] Speed: 1303.62 samples/sec accuracy=0.362500 top_k_accuracy_5=0.609922 | |
| Epoch[22] Batch [700] Speed: 1303.55 samples/sec accuracy=0.363594 top_k_accuracy_5=0.609062 | |
| Epoch[22] Batch [800] Speed: 1300.96 samples/sec accuracy=0.362617 top_k_accuracy_5=0.608203 | |
| Epoch[22] Batch [900] Speed: 1304.09 samples/sec accuracy=0.365859 top_k_accuracy_5=0.611016 | |
| Epoch[22] Batch [1000] Speed: 1304.06 samples/sec accuracy=0.360820 top_k_accuracy_5=0.605117 | |
| Epoch[22] Batch [1100] Speed: 1302.00 samples/sec accuracy=0.368867 top_k_accuracy_5=0.615508 | |
| Epoch[22] Batch [1200] Speed: 1297.56 samples/sec accuracy=0.362930 top_k_accuracy_5=0.608203 | |
| Epoch[22] Batch [1300] Speed: 1297.43 samples/sec accuracy=0.364531 top_k_accuracy_5=0.609297 | |
| Epoch[22] Batch [1400] Speed: 1303.91 samples/sec accuracy=0.365352 top_k_accuracy_5=0.613906 | |
| Epoch[22] Batch [1500] Speed: 1302.22 samples/sec accuracy=0.360312 top_k_accuracy_5=0.609219 | |
| Epoch[22] Batch [1600] Speed: 1306.68 samples/sec accuracy=0.360938 top_k_accuracy_5=0.605000 | |
| Epoch[22] Batch [1700] Speed: 1298.41 samples/sec accuracy=0.358789 top_k_accuracy_5=0.610352 | |
| Epoch[22] Batch [1800] Speed: 1307.89 samples/sec accuracy=0.363867 top_k_accuracy_5=0.611836 | |
| Epoch[22] Batch [1900] Speed: 1302.55 samples/sec accuracy=0.370391 top_k_accuracy_5=0.613008 | |
| Epoch[22] Batch [2000] Speed: 1304.91 samples/sec accuracy=0.367031 top_k_accuracy_5=0.609844 | |
| Epoch[22] Batch [2100] Speed: 1296.48 samples/sec accuracy=0.360898 top_k_accuracy_5=0.607578 | |
| Epoch[22] Batch [2200] Speed: 1301.60 samples/sec accuracy=0.363398 top_k_accuracy_5=0.610352 | |
| Epoch[22] Batch [2300] Speed: 1306.40 samples/sec accuracy=0.358945 top_k_accuracy_5=0.608789 | |
| Epoch[22] Batch [2400] Speed: 1308.47 samples/sec accuracy=0.363984 top_k_accuracy_5=0.610195 | |
| Epoch[22] Batch [2500] Speed: 1308.59 samples/sec accuracy=0.362773 top_k_accuracy_5=0.609219 | |
| Epoch[22] Batch [2600] Speed: 1311.96 samples/sec accuracy=0.366523 top_k_accuracy_5=0.612773 | |
| Epoch[22] Batch [2700] Speed: 1312.46 samples/sec accuracy=0.363828 top_k_accuracy_5=0.608750 | |
| Epoch[22] Batch [2800] Speed: 1307.88 samples/sec accuracy=0.363438 top_k_accuracy_5=0.611133 | |
| Epoch[22] Batch [2900] Speed: 1308.85 samples/sec accuracy=0.366641 top_k_accuracy_5=0.608984 | |
| Epoch[22] Batch [3000] Speed: 1313.66 samples/sec accuracy=0.360664 top_k_accuracy_5=0.609062 | |
| Epoch[22] Batch [3100] Speed: 1314.13 samples/sec accuracy=0.360312 top_k_accuracy_5=0.610234 | |
| Epoch[22] Batch [3200] Speed: 1306.70 samples/sec accuracy=0.367656 top_k_accuracy_5=0.615352 | |
| Epoch[22] Batch [3300] Speed: 1313.39 samples/sec accuracy=0.369219 top_k_accuracy_5=0.611328 | |
| Epoch[22] Batch [3400] Speed: 1300.34 samples/sec accuracy=0.365781 top_k_accuracy_5=0.612422 | |
| Epoch[22] Batch [3500] Speed: 1296.82 samples/sec accuracy=0.373828 top_k_accuracy_5=0.616055 | |
| Epoch[22] Batch [3600] Speed: 1302.95 samples/sec accuracy=0.361172 top_k_accuracy_5=0.607930 | |
| Epoch[22] Batch [3700] Speed: 1305.64 samples/sec accuracy=0.362812 top_k_accuracy_5=0.608320 | |
| Epoch[22] Batch [3800] Speed: 1302.10 samples/sec accuracy=0.365117 top_k_accuracy_5=0.613125 | |
| Epoch[22] Batch [3900] Speed: 1305.93 samples/sec accuracy=0.364219 top_k_accuracy_5=0.610000 | |
| Epoch[22] Batch [4000] Speed: 1309.62 samples/sec accuracy=0.367969 top_k_accuracy_5=0.614141 | |
| Epoch[22] Batch [4100] Speed: 1311.93 samples/sec accuracy=0.361211 top_k_accuracy_5=0.609102 | |
| Epoch[22] Batch [4200] Speed: 1296.06 samples/sec accuracy=0.360391 top_k_accuracy_5=0.607734 | |
| Epoch[22] Batch [4300] Speed: 1308.38 samples/sec accuracy=0.361719 top_k_accuracy_5=0.609531 | |
| Epoch[22] Batch [4400] Speed: 1311.18 samples/sec accuracy=0.367109 top_k_accuracy_5=0.612734 | |
| Epoch[22] Batch [4500] Speed: 1304.44 samples/sec accuracy=0.369258 top_k_accuracy_5=0.615313 | |
| Epoch[22] Batch [4600] Speed: 1314.54 samples/sec accuracy=0.363750 top_k_accuracy_5=0.606328 | |
| Epoch[22] Batch [4700] Speed: 1313.91 samples/sec accuracy=0.363477 top_k_accuracy_5=0.610781 | |
| Epoch[22] Batch [4800] Speed: 1313.08 samples/sec accuracy=0.364883 top_k_accuracy_5=0.610039 | |
| Epoch[22] Batch [4900] Speed: 1303.09 samples/sec accuracy=0.368398 top_k_accuracy_5=0.616875 | |
| Epoch[22] Batch [5000] Speed: 1299.84 samples/sec accuracy=0.367969 top_k_accuracy_5=0.612422 | |
| Epoch[22] Train-accuracy=0.356771 | |
| Epoch[22] Train-top_k_accuracy_5=0.593750 | |
| Epoch[22] Time cost=981.725 | |
| Saved checkpoint to "model/resnet18-0023.params" | |
| Epoch[22] Validation-accuracy=0.351084 | |
| Epoch[22] Validation-top_k_accuracy_5=0.606904 | |
| Epoch[23] Batch [100] Speed: 1302.47 samples/sec accuracy=0.363088 top_k_accuracy_5=0.608292 | |
| Epoch[23] Batch [200] Speed: 1306.71 samples/sec accuracy=0.366914 top_k_accuracy_5=0.611250 | |
| Epoch[23] Batch [300] Speed: 1307.99 samples/sec accuracy=0.362930 top_k_accuracy_5=0.611055 | |
| Epoch[23] Batch [400] Speed: 1310.84 samples/sec accuracy=0.359844 top_k_accuracy_5=0.609648 | |
| Epoch[23] Batch [500] Speed: 1306.06 samples/sec accuracy=0.367578 top_k_accuracy_5=0.609492 | |
| Epoch[23] Batch [600] Speed: 1303.07 samples/sec accuracy=0.364883 top_k_accuracy_5=0.612266 | |
| Epoch[23] Batch [700] Speed: 1303.92 samples/sec accuracy=0.360508 top_k_accuracy_5=0.608437 | |
| Epoch[23] Batch [800] Speed: 1296.69 samples/sec accuracy=0.360703 top_k_accuracy_5=0.607930 | |
| Epoch[23] Batch [900] Speed: 1303.40 samples/sec accuracy=0.362031 top_k_accuracy_5=0.608672 | |
| Epoch[23] Batch [1000] Speed: 1305.95 samples/sec accuracy=0.365078 top_k_accuracy_5=0.608906 | |
| Epoch[23] Batch [1100] Speed: 1303.04 samples/sec accuracy=0.368242 top_k_accuracy_5=0.617500 | |
| Epoch[23] Batch [1200] Speed: 1305.28 samples/sec accuracy=0.361758 top_k_accuracy_5=0.609180 | |
| Epoch[23] Batch [1300] Speed: 1306.14 samples/sec accuracy=0.360391 top_k_accuracy_5=0.607891 | |
| Epoch[23] Batch [1400] Speed: 1302.84 samples/sec accuracy=0.367344 top_k_accuracy_5=0.608633 | |
| Epoch[23] Batch [1500] Speed: 1298.54 samples/sec accuracy=0.362461 top_k_accuracy_5=0.607109 | |
| Epoch[23] Batch [1600] Speed: 1304.31 samples/sec accuracy=0.362930 top_k_accuracy_5=0.609492 | |
| Epoch[23] Batch [1700] Speed: 1299.69 samples/sec accuracy=0.364805 top_k_accuracy_5=0.611563 | |
| Epoch[23] Batch [1800] Speed: 1298.23 samples/sec accuracy=0.363984 top_k_accuracy_5=0.613750 | |
| Epoch[23] Batch [1900] Speed: 1298.64 samples/sec accuracy=0.362617 top_k_accuracy_5=0.609961 | |
| Epoch[23] Batch [2000] Speed: 1297.90 samples/sec accuracy=0.366172 top_k_accuracy_5=0.612734 | |
| Epoch[23] Batch [2100] Speed: 1303.10 samples/sec accuracy=0.365586 top_k_accuracy_5=0.613594 | |
| Epoch[23] Batch [2200] Speed: 1306.19 samples/sec accuracy=0.362930 top_k_accuracy_5=0.609141 | |
| Epoch[23] Batch [2300] Speed: 1304.10 samples/sec accuracy=0.364687 top_k_accuracy_5=0.615039 | |
| Epoch[23] Batch [2400] Speed: 1312.68 samples/sec accuracy=0.364922 top_k_accuracy_5=0.608867 | |
| Epoch[23] Batch [2500] Speed: 1303.12 samples/sec accuracy=0.363672 top_k_accuracy_5=0.609727 | |
| Epoch[23] Batch [2600] Speed: 1304.76 samples/sec accuracy=0.361797 top_k_accuracy_5=0.611250 | |
| Epoch[23] Batch [2700] Speed: 1305.61 samples/sec accuracy=0.362617 top_k_accuracy_5=0.610742 | |
| Epoch[23] Batch [2800] Speed: 1299.52 samples/sec accuracy=0.366406 top_k_accuracy_5=0.604883 | |
| Epoch[23] Batch [2900] Speed: 1307.38 samples/sec accuracy=0.369688 top_k_accuracy_5=0.617500 | |
| Epoch[23] Batch [3000] Speed: 1304.53 samples/sec accuracy=0.361328 top_k_accuracy_5=0.606758 | |
| Epoch[23] Batch [3100] Speed: 1314.35 samples/sec accuracy=0.361289 top_k_accuracy_5=0.604727 | |
| Epoch[23] Batch [3200] Speed: 1306.37 samples/sec accuracy=0.369492 top_k_accuracy_5=0.618086 | |
| Epoch[23] Batch [3300] Speed: 1303.97 samples/sec accuracy=0.362812 top_k_accuracy_5=0.606836 | |
| Epoch[23] Batch [3400] Speed: 1305.59 samples/sec accuracy=0.368555 top_k_accuracy_5=0.613594 | |
| Epoch[23] Batch [3500] Speed: 1301.55 samples/sec accuracy=0.371992 top_k_accuracy_5=0.614141 | |
| Epoch[23] Batch [3600] Speed: 1302.57 samples/sec accuracy=0.360508 top_k_accuracy_5=0.604883 | |
| Epoch[23] Batch [3700] Speed: 1295.36 samples/sec accuracy=0.362109 top_k_accuracy_5=0.610156 | |
| Epoch[23] Batch [3800] Speed: 1307.46 samples/sec accuracy=0.366914 top_k_accuracy_5=0.607695 | |
| Epoch[23] Batch [3900] Speed: 1302.54 samples/sec accuracy=0.363828 top_k_accuracy_5=0.610195 | |
| Epoch[23] Batch [4000] Speed: 1300.43 samples/sec accuracy=0.367617 top_k_accuracy_5=0.613867 | |
| Epoch[23] Batch [4100] Speed: 1294.13 samples/sec accuracy=0.363750 top_k_accuracy_5=0.606719 | |
| Epoch[23] Batch [4200] Speed: 1300.00 samples/sec accuracy=0.363633 top_k_accuracy_5=0.613320 | |
| Epoch[23] Batch [4300] Speed: 1305.00 samples/sec accuracy=0.363633 top_k_accuracy_5=0.609961 | |
| Epoch[23] Batch [4400] Speed: 1303.53 samples/sec accuracy=0.365352 top_k_accuracy_5=0.611406 | |
| Epoch[23] Batch [4500] Speed: 1305.01 samples/sec accuracy=0.362070 top_k_accuracy_5=0.615156 | |
| Epoch[23] Batch [4600] Speed: 1310.15 samples/sec accuracy=0.367578 top_k_accuracy_5=0.614062 | |
| Epoch[23] Batch [4700] Speed: 1296.78 samples/sec accuracy=0.369258 top_k_accuracy_5=0.615078 | |
| Epoch[23] Batch [4800] Speed: 1307.53 samples/sec accuracy=0.363398 top_k_accuracy_5=0.610039 | |
| Epoch[23] Batch [4900] Speed: 1310.87 samples/sec accuracy=0.363164 top_k_accuracy_5=0.611992 | |
| Epoch[23] Batch [5000] Speed: 1308.46 samples/sec accuracy=0.363594 top_k_accuracy_5=0.610195 | |
| Epoch[23] Train-accuracy=0.364258 | |
| Epoch[23] Train-top_k_accuracy_5=0.595703 | |
| Epoch[23] Time cost=982.975 | |
| Saved checkpoint to "model/resnet18-0024.params" | |
| Epoch[23] Validation-accuracy=0.364463 | |
| Epoch[23] Validation-top_k_accuracy_5=0.625260 | |
| Epoch[24] Batch [100] Speed: 1307.52 samples/sec accuracy=0.372061 top_k_accuracy_5=0.618348 | |
| Epoch[24] Batch [200] Speed: 1312.64 samples/sec accuracy=0.364961 top_k_accuracy_5=0.610430 | |
| Epoch[24] Batch [300] Speed: 1309.52 samples/sec accuracy=0.363711 top_k_accuracy_5=0.616797 | |
| Epoch[24] Batch [400] Speed: 1306.02 samples/sec accuracy=0.365859 top_k_accuracy_5=0.610703 | |
| Epoch[24] Batch [500] Speed: 1312.63 samples/sec accuracy=0.364063 top_k_accuracy_5=0.612070 | |
| Epoch[24] Batch [600] Speed: 1310.34 samples/sec accuracy=0.362695 top_k_accuracy_5=0.611133 | |
| Epoch[24] Batch [700] Speed: 1301.45 samples/sec accuracy=0.364648 top_k_accuracy_5=0.606914 | |
| Epoch[24] Batch [800] Speed: 1306.47 samples/sec accuracy=0.362383 top_k_accuracy_5=0.610234 | |
| Epoch[24] Batch [900] Speed: 1310.71 samples/sec accuracy=0.368086 top_k_accuracy_5=0.612031 | |
| Epoch[24] Batch [1000] Speed: 1309.98 samples/sec accuracy=0.362500 top_k_accuracy_5=0.607461 | |
| Epoch[24] Batch [1100] Speed: 1315.82 samples/sec accuracy=0.367695 top_k_accuracy_5=0.614023 | |
| Epoch[24] Batch [1200] Speed: 1308.69 samples/sec accuracy=0.366211 top_k_accuracy_5=0.609062 | |
| Epoch[24] Batch [1300] Speed: 1310.56 samples/sec accuracy=0.366094 top_k_accuracy_5=0.614180 | |
| Epoch[24] Batch [1400] Speed: 1303.93 samples/sec accuracy=0.367188 top_k_accuracy_5=0.612070 | |
| Epoch[24] Batch [1500] Speed: 1320.94 samples/sec accuracy=0.365000 top_k_accuracy_5=0.612187 | |
| Epoch[24] Batch [1600] Speed: 1314.19 samples/sec accuracy=0.361563 top_k_accuracy_5=0.605156 | |
| Epoch[24] Batch [1700] Speed: 1322.87 samples/sec accuracy=0.363828 top_k_accuracy_5=0.608789 | |
| Epoch[24] Batch [1800] Speed: 1311.31 samples/sec accuracy=0.363594 top_k_accuracy_5=0.608203 | |
| Epoch[24] Batch [1900] Speed: 1312.57 samples/sec accuracy=0.366875 top_k_accuracy_5=0.609688 | |
| Epoch[24] Batch [2000] Speed: 1315.18 samples/sec accuracy=0.364609 top_k_accuracy_5=0.610078 | |
| Epoch[24] Batch [2100] Speed: 1313.80 samples/sec accuracy=0.367617 top_k_accuracy_5=0.615117 | |
| Epoch[24] Batch [2200] Speed: 1317.28 samples/sec accuracy=0.365312 top_k_accuracy_5=0.611367 | |
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| Epoch[24] Batch [2400] Speed: 1317.64 samples/sec accuracy=0.366523 top_k_accuracy_5=0.612266 | |
| Epoch[24] Batch [2500] Speed: 1316.46 samples/sec accuracy=0.364023 top_k_accuracy_5=0.609961 | |
| Epoch[24] Batch [2600] Speed: 1312.42 samples/sec accuracy=0.364023 top_k_accuracy_5=0.613203 | |
| Epoch[24] Batch [2700] Speed: 1301.51 samples/sec accuracy=0.366367 top_k_accuracy_5=0.611445 | |
| Epoch[24] Batch [2800] Speed: 1309.25 samples/sec accuracy=0.363398 top_k_accuracy_5=0.615938 | |
| Epoch[24] Batch [2900] Speed: 1307.96 samples/sec accuracy=0.368711 top_k_accuracy_5=0.612695 | |
| Epoch[24] Batch [3000] Speed: 1315.11 samples/sec accuracy=0.363320 top_k_accuracy_5=0.608359 | |
| Epoch[24] Batch [3100] Speed: 1304.90 samples/sec accuracy=0.360820 top_k_accuracy_5=0.609258 | |
| Epoch[24] Batch [3200] Speed: 1310.93 samples/sec accuracy=0.371992 top_k_accuracy_5=0.612969 | |
| Epoch[24] Batch [3300] Speed: 1313.12 samples/sec accuracy=0.365664 top_k_accuracy_5=0.608984 | |
| Epoch[24] Batch [3400] Speed: 1321.41 samples/sec accuracy=0.363203 top_k_accuracy_5=0.613086 | |
| Epoch[24] Batch [3500] Speed: 1312.56 samples/sec accuracy=0.373008 top_k_accuracy_5=0.613477 | |
| Epoch[24] Batch [3600] Speed: 1314.54 samples/sec accuracy=0.362852 top_k_accuracy_5=0.608945 | |
| Epoch[24] Batch [3700] Speed: 1315.62 samples/sec accuracy=0.362617 top_k_accuracy_5=0.612305 | |
| Epoch[24] Batch [3800] Speed: 1310.24 samples/sec accuracy=0.362734 top_k_accuracy_5=0.607891 | |
| Epoch[24] Batch [3900] Speed: 1314.59 samples/sec accuracy=0.363984 top_k_accuracy_5=0.607539 | |
| Epoch[24] Batch [4000] Speed: 1315.50 samples/sec accuracy=0.373984 top_k_accuracy_5=0.613906 | |
| Epoch[24] Batch [4100] Speed: 1315.39 samples/sec accuracy=0.365781 top_k_accuracy_5=0.612930 | |
| Epoch[24] Batch [4200] Speed: 1321.57 samples/sec accuracy=0.365352 top_k_accuracy_5=0.613398 | |
| Epoch[24] Batch [4300] Speed: 1310.20 samples/sec accuracy=0.367930 top_k_accuracy_5=0.611484 | |
| Epoch[24] Batch [4400] Speed: 1312.72 samples/sec accuracy=0.368555 top_k_accuracy_5=0.613047 | |
| Epoch[24] Batch [4500] Speed: 1314.73 samples/sec accuracy=0.365938 top_k_accuracy_5=0.612930 | |
| Epoch[24] Batch [4600] Speed: 1315.13 samples/sec accuracy=0.361602 top_k_accuracy_5=0.604727 | |
| Epoch[24] Batch [4700] Speed: 1315.16 samples/sec accuracy=0.363242 top_k_accuracy_5=0.611875 | |
| Epoch[24] Batch [4800] Speed: 1316.13 samples/sec accuracy=0.363750 top_k_accuracy_5=0.607969 | |
| Epoch[24] Batch [4900] Speed: 1319.16 samples/sec accuracy=0.367773 top_k_accuracy_5=0.613906 | |
| Epoch[24] Batch [5000] Speed: 1310.75 samples/sec accuracy=0.359414 top_k_accuracy_5=0.610430 | |
| Epoch[24] Train-accuracy=0.358073 | |
| Epoch[24] Train-top_k_accuracy_5=0.588542 | |
| Epoch[24] Time cost=976.162 | |
| Saved checkpoint to "model/resnet18-0025.params" | |
| Epoch[24] Validation-accuracy=0.380268 | |
| Epoch[24] Validation-top_k_accuracy_5=0.634395 | |
| Epoch[25] Batch [100] Speed: 1315.09 samples/sec accuracy=0.371287 top_k_accuracy_5=0.619624 | |
| Epoch[25] Batch [200] Speed: 1320.16 samples/sec accuracy=0.363516 top_k_accuracy_5=0.611602 | |
| Epoch[25] Batch [300] Speed: 1311.37 samples/sec accuracy=0.363438 top_k_accuracy_5=0.613008 | |
| Epoch[25] Batch [400] Speed: 1316.05 samples/sec accuracy=0.363008 top_k_accuracy_5=0.609648 | |
| Epoch[25] Batch [500] Speed: 1307.31 samples/sec accuracy=0.368906 top_k_accuracy_5=0.612109 | |
| Epoch[25] Batch [600] Speed: 1308.44 samples/sec accuracy=0.368008 top_k_accuracy_5=0.611758 | |
| Epoch[25] Batch [700] Speed: 1312.81 samples/sec accuracy=0.363672 top_k_accuracy_5=0.609062 | |
| Epoch[25] Batch [800] Speed: 1312.87 samples/sec accuracy=0.366289 top_k_accuracy_5=0.610977 | |
| Epoch[25] Batch [900] Speed: 1318.38 samples/sec accuracy=0.364922 top_k_accuracy_5=0.611406 | |
| Epoch[25] Batch [1000] Speed: 1308.76 samples/sec accuracy=0.370156 top_k_accuracy_5=0.616211 | |
| Epoch[25] Batch [1100] Speed: 1315.84 samples/sec accuracy=0.374453 top_k_accuracy_5=0.615625 | |
| Epoch[25] Batch [1200] Speed: 1308.02 samples/sec accuracy=0.367812 top_k_accuracy_5=0.612930 | |
| Epoch[25] Batch [1300] Speed: 1310.41 samples/sec accuracy=0.359648 top_k_accuracy_5=0.607266 | |
| Epoch[25] Batch [1400] Speed: 1311.47 samples/sec accuracy=0.363477 top_k_accuracy_5=0.610391 | |
| Epoch[25] Batch [1500] Speed: 1315.88 samples/sec accuracy=0.367383 top_k_accuracy_5=0.613320 | |
| Epoch[25] Batch [1600] Speed: 1316.59 samples/sec accuracy=0.361328 top_k_accuracy_5=0.607734 | |
| Epoch[25] Batch [1700] Speed: 1306.74 samples/sec accuracy=0.369102 top_k_accuracy_5=0.616641 | |
| Epoch[25] Batch [1800] Speed: 1310.94 samples/sec accuracy=0.365391 top_k_accuracy_5=0.614727 | |
| Epoch[25] Batch [1900] Speed: 1311.05 samples/sec accuracy=0.368320 top_k_accuracy_5=0.611992 | |
| Epoch[25] Batch [2000] Speed: 1311.97 samples/sec accuracy=0.364492 top_k_accuracy_5=0.617461 | |
| Epoch[25] Batch [2100] Speed: 1313.33 samples/sec accuracy=0.364687 top_k_accuracy_5=0.609570 | |
| Epoch[25] Batch [2200] Speed: 1312.15 samples/sec accuracy=0.366875 top_k_accuracy_5=0.606797 | |
| Epoch[25] Batch [2300] Speed: 1309.82 samples/sec accuracy=0.360703 top_k_accuracy_5=0.609297 | |
| Epoch[25] Batch [2400] Speed: 1316.64 samples/sec accuracy=0.365156 top_k_accuracy_5=0.610742 | |
| Epoch[25] Batch [2500] Speed: 1309.48 samples/sec accuracy=0.363047 top_k_accuracy_5=0.614102 | |
| Epoch[25] Batch [2600] Speed: 1319.06 samples/sec accuracy=0.368008 top_k_accuracy_5=0.610898 | |
| Epoch[25] Batch [2700] Speed: 1308.88 samples/sec accuracy=0.364883 top_k_accuracy_5=0.608477 | |
| Epoch[25] Batch [2800] Speed: 1305.33 samples/sec accuracy=0.369023 top_k_accuracy_5=0.617812 | |
| Epoch[25] Batch [2900] Speed: 1305.12 samples/sec accuracy=0.367344 top_k_accuracy_5=0.612695 | |
| Epoch[25] Batch [3000] Speed: 1315.06 samples/sec accuracy=0.359297 top_k_accuracy_5=0.609688 | |
| Epoch[25] Batch [3100] Speed: 1306.89 samples/sec accuracy=0.362617 top_k_accuracy_5=0.608437 | |
| Epoch[25] Batch [3200] Speed: 1312.74 samples/sec accuracy=0.370078 top_k_accuracy_5=0.617383 | |
| Epoch[25] Batch [3300] Speed: 1308.49 samples/sec accuracy=0.367891 top_k_accuracy_5=0.615703 | |
| Epoch[25] Batch [3400] Speed: 1312.33 samples/sec accuracy=0.368281 top_k_accuracy_5=0.618320 | |
| Epoch[25] Batch [3500] Speed: 1319.82 samples/sec accuracy=0.368086 top_k_accuracy_5=0.612930 | |
| Epoch[25] Batch [3600] Speed: 1304.13 samples/sec accuracy=0.363477 top_k_accuracy_5=0.606875 | |
| Epoch[25] Batch [3700] Speed: 1314.85 samples/sec accuracy=0.364375 top_k_accuracy_5=0.615156 | |
| Epoch[25] Batch [3800] Speed: 1310.24 samples/sec accuracy=0.368164 top_k_accuracy_5=0.612734 | |
| Epoch[25] Batch [3900] Speed: 1312.35 samples/sec accuracy=0.366289 top_k_accuracy_5=0.610234 | |
| Epoch[25] Batch [4000] Speed: 1317.67 samples/sec accuracy=0.369023 top_k_accuracy_5=0.617070 | |
| Epoch[25] Batch [4100] Speed: 1312.92 samples/sec accuracy=0.361094 top_k_accuracy_5=0.609492 | |
| Epoch[25] Batch [4200] Speed: 1315.95 samples/sec accuracy=0.360430 top_k_accuracy_5=0.609453 | |
| Epoch[25] Batch [4300] Speed: 1308.24 samples/sec accuracy=0.370625 top_k_accuracy_5=0.613125 | |
| Epoch[25] Batch [4400] Speed: 1319.68 samples/sec accuracy=0.363281 top_k_accuracy_5=0.613867 | |
| Epoch[25] Batch [4500] Speed: 1308.38 samples/sec accuracy=0.361875 top_k_accuracy_5=0.613086 | |
| Epoch[25] Batch [4600] Speed: 1315.42 samples/sec accuracy=0.368594 top_k_accuracy_5=0.614180 | |
| Epoch[25] Batch [4700] Speed: 1304.10 samples/sec accuracy=0.368320 top_k_accuracy_5=0.611016 | |
| Epoch[25] Batch [4800] Speed: 1311.74 samples/sec accuracy=0.371172 top_k_accuracy_5=0.612383 | |
| Epoch[25] Batch [4900] Speed: 1301.14 samples/sec accuracy=0.372578 top_k_accuracy_5=0.624570 | |
| Epoch[25] Batch [5000] Speed: 1303.12 samples/sec accuracy=0.366367 top_k_accuracy_5=0.614844 | |
| Epoch[25] Train-accuracy=0.385742 | |
| Epoch[25] Train-top_k_accuracy_5=0.609375 | |
| Epoch[25] Time cost=977.121 | |
| Saved checkpoint to "model/resnet18-0026.params" | |
| Epoch[25] Validation-accuracy=0.378548 | |
| Epoch[25] Validation-top_k_accuracy_5=0.637496 | |
| Epoch[26] Batch [100] Speed: 1308.47 samples/sec accuracy=0.371597 top_k_accuracy_5=0.617652 | |
| Epoch[26] Batch [200] Speed: 1315.13 samples/sec accuracy=0.363555 top_k_accuracy_5=0.610781 | |
| Epoch[26] Batch [300] Speed: 1315.45 samples/sec accuracy=0.364844 top_k_accuracy_5=0.610039 | |
| Epoch[26] Batch [400] Speed: 1319.87 samples/sec accuracy=0.365391 top_k_accuracy_5=0.610313 | |
| Epoch[26] Batch [500] Speed: 1313.31 samples/sec accuracy=0.365859 top_k_accuracy_5=0.613398 | |
| Epoch[26] Batch [600] Speed: 1317.11 samples/sec accuracy=0.362578 top_k_accuracy_5=0.612852 | |
| Epoch[26] Batch [700] Speed: 1310.37 samples/sec accuracy=0.365781 top_k_accuracy_5=0.609297 | |
| Epoch[26] Batch [800] Speed: 1309.92 samples/sec accuracy=0.360820 top_k_accuracy_5=0.607539 | |
| Epoch[26] Batch [900] Speed: 1299.03 samples/sec accuracy=0.367461 top_k_accuracy_5=0.612930 | |
| Epoch[26] Batch [1000] Speed: 1298.98 samples/sec accuracy=0.362539 top_k_accuracy_5=0.613008 | |
| Epoch[26] Batch [1100] Speed: 1301.73 samples/sec accuracy=0.367852 top_k_accuracy_5=0.617188 | |
| Epoch[26] Batch [1200] Speed: 1299.53 samples/sec accuracy=0.368320 top_k_accuracy_5=0.614766 | |
| Epoch[26] Batch [1300] Speed: 1302.60 samples/sec accuracy=0.367188 top_k_accuracy_5=0.611055 | |
| Epoch[26] Batch [1400] Speed: 1308.61 samples/sec accuracy=0.367695 top_k_accuracy_5=0.615977 | |
| Epoch[26] Batch [1500] Speed: 1297.67 samples/sec accuracy=0.366172 top_k_accuracy_5=0.614531 | |
| Epoch[26] Batch [1600] Speed: 1300.33 samples/sec accuracy=0.362266 top_k_accuracy_5=0.606211 | |
| Epoch[26] Batch [1700] Speed: 1302.77 samples/sec accuracy=0.368242 top_k_accuracy_5=0.616367 | |
| Epoch[26] Batch [1800] Speed: 1304.68 samples/sec accuracy=0.363594 top_k_accuracy_5=0.613359 | |
| Epoch[26] Batch [1900] Speed: 1313.17 samples/sec accuracy=0.364375 top_k_accuracy_5=0.617305 | |
| Epoch[26] Batch [2000] Speed: 1302.02 samples/sec accuracy=0.368867 top_k_accuracy_5=0.614258 | |
| Epoch[26] Batch [2100] Speed: 1313.82 samples/sec accuracy=0.366523 top_k_accuracy_5=0.613398 | |
| Epoch[26] Batch [2200] Speed: 1308.12 samples/sec accuracy=0.361953 top_k_accuracy_5=0.608281 | |
| Epoch[26] Batch [2300] Speed: 1305.25 samples/sec accuracy=0.365781 top_k_accuracy_5=0.611992 | |
| Epoch[26] Batch [2400] Speed: 1301.09 samples/sec accuracy=0.365391 top_k_accuracy_5=0.608320 | |
| Epoch[26] Batch [2500] Speed: 1302.55 samples/sec accuracy=0.368047 top_k_accuracy_5=0.612852 | |
| Epoch[26] Batch [2600] Speed: 1299.06 samples/sec accuracy=0.367344 top_k_accuracy_5=0.613203 | |
| Epoch[26] Batch [2700] Speed: 1306.52 samples/sec accuracy=0.368945 top_k_accuracy_5=0.612148 | |
| Epoch[26] Batch [2800] Speed: 1317.85 samples/sec accuracy=0.367812 top_k_accuracy_5=0.614961 | |
| Epoch[26] Batch [2900] Speed: 1317.13 samples/sec accuracy=0.371602 top_k_accuracy_5=0.612227 | |
| Epoch[26] Batch [3000] Speed: 1303.98 samples/sec accuracy=0.361641 top_k_accuracy_5=0.611016 | |
| Epoch[26] Batch [3100] Speed: 1301.96 samples/sec accuracy=0.364805 top_k_accuracy_5=0.615430 | |
| Epoch[26] Batch [3200] Speed: 1312.62 samples/sec accuracy=0.370898 top_k_accuracy_5=0.616836 | |
| Epoch[26] Batch [3300] Speed: 1307.93 samples/sec accuracy=0.366523 top_k_accuracy_5=0.610391 | |
| Epoch[26] Batch [3400] Speed: 1312.62 samples/sec accuracy=0.368477 top_k_accuracy_5=0.611445 | |
| Epoch[26] Batch [3500] Speed: 1316.12 samples/sec accuracy=0.374141 top_k_accuracy_5=0.613398 | |
| Epoch[26] Batch [3600] Speed: 1304.78 samples/sec accuracy=0.360586 top_k_accuracy_5=0.610977 | |
| Epoch[26] Batch [3700] Speed: 1310.21 samples/sec accuracy=0.362617 top_k_accuracy_5=0.612539 | |
| Epoch[26] Batch [3800] Speed: 1310.03 samples/sec accuracy=0.372109 top_k_accuracy_5=0.612344 | |
| Epoch[26] Batch [3900] Speed: 1314.91 samples/sec accuracy=0.365586 top_k_accuracy_5=0.605469 | |
| Epoch[26] Batch [4000] Speed: 1311.61 samples/sec accuracy=0.371211 top_k_accuracy_5=0.618594 | |
| Epoch[26] Batch [4100] Speed: 1309.45 samples/sec accuracy=0.361445 top_k_accuracy_5=0.603711 | |
| Epoch[26] Batch [4200] Speed: 1325.63 samples/sec accuracy=0.361602 top_k_accuracy_5=0.612695 | |
| Epoch[26] Batch [4300] Speed: 1308.90 samples/sec accuracy=0.361602 top_k_accuracy_5=0.609219 | |
| Epoch[26] Batch [4400] Speed: 1307.61 samples/sec accuracy=0.368906 top_k_accuracy_5=0.613594 | |
| Epoch[26] Batch [4500] Speed: 1314.61 samples/sec accuracy=0.367109 top_k_accuracy_5=0.614102 | |
| Epoch[26] Batch [4600] Speed: 1310.74 samples/sec accuracy=0.365000 top_k_accuracy_5=0.612187 | |
| Epoch[26] Batch [4700] Speed: 1311.34 samples/sec accuracy=0.365469 top_k_accuracy_5=0.615039 | |
| Epoch[26] Batch [4800] Speed: 1317.69 samples/sec accuracy=0.365234 top_k_accuracy_5=0.609336 | |
| Epoch[26] Batch [4900] Speed: 1313.98 samples/sec accuracy=0.371914 top_k_accuracy_5=0.617852 | |
| Epoch[26] Batch [5000] Speed: 1306.17 samples/sec accuracy=0.369023 top_k_accuracy_5=0.614023 | |
| Epoch[26] Train-accuracy=0.377930 | |
| Epoch[26] Train-top_k_accuracy_5=0.625977 | |
| Epoch[26] Time cost=979.314 | |
| Saved checkpoint to "model/resnet18-0027.params" | |
| Epoch[26] Validation-accuracy=0.382272 | |
| Epoch[26] Validation-top_k_accuracy_5=0.641526 | |
| Epoch[27] Batch [100] Speed: 1302.04 samples/sec accuracy=0.373105 top_k_accuracy_5=0.617304 | |
| Epoch[27] Batch [200] Speed: 1307.18 samples/sec accuracy=0.368672 top_k_accuracy_5=0.615781 | |
| Epoch[27] Batch [300] Speed: 1303.72 samples/sec accuracy=0.367695 top_k_accuracy_5=0.618672 | |
| Epoch[27] Batch [400] Speed: 1307.05 samples/sec accuracy=0.363867 top_k_accuracy_5=0.612109 | |
| Epoch[27] Batch [500] Speed: 1307.50 samples/sec accuracy=0.371133 top_k_accuracy_5=0.617070 | |
| Epoch[27] Batch [600] Speed: 1302.65 samples/sec accuracy=0.367227 top_k_accuracy_5=0.612656 | |
| Epoch[27] Batch [700] Speed: 1310.54 samples/sec accuracy=0.366875 top_k_accuracy_5=0.615195 | |
| Epoch[27] Batch [800] Speed: 1317.62 samples/sec accuracy=0.363555 top_k_accuracy_5=0.609141 | |
| Epoch[27] Batch [900] Speed: 1317.27 samples/sec accuracy=0.365820 top_k_accuracy_5=0.610781 | |
| Epoch[27] Batch [1000] Speed: 1313.75 samples/sec accuracy=0.366445 top_k_accuracy_5=0.616172 | |
| Epoch[27] Batch [1100] Speed: 1308.45 samples/sec accuracy=0.371914 top_k_accuracy_5=0.619219 | |
| Epoch[27] Batch [1200] Speed: 1309.16 samples/sec accuracy=0.363398 top_k_accuracy_5=0.612930 | |
| Epoch[27] Batch [1300] Speed: 1314.80 samples/sec accuracy=0.365273 top_k_accuracy_5=0.611836 | |
| Epoch[27] Batch [1400] Speed: 1323.32 samples/sec accuracy=0.368711 top_k_accuracy_5=0.612812 | |
| Epoch[27] Batch [1500] Speed: 1315.19 samples/sec accuracy=0.365977 top_k_accuracy_5=0.611250 | |
| Epoch[27] Batch [1600] Speed: 1314.11 samples/sec accuracy=0.364102 top_k_accuracy_5=0.613281 | |
| Epoch[27] Batch [1700] Speed: 1312.34 samples/sec accuracy=0.366055 top_k_accuracy_5=0.611367 | |
| Epoch[27] Batch [1800] Speed: 1314.23 samples/sec accuracy=0.369688 top_k_accuracy_5=0.617305 | |
| Epoch[27] Batch [1900] Speed: 1316.89 samples/sec accuracy=0.368516 top_k_accuracy_5=0.610430 | |
| Epoch[27] Batch [2000] Speed: 1319.65 samples/sec accuracy=0.365977 top_k_accuracy_5=0.610703 | |
| Epoch[27] Batch [2100] Speed: 1310.49 samples/sec accuracy=0.368867 top_k_accuracy_5=0.613477 | |
| Epoch[27] Batch [2200] Speed: 1316.19 samples/sec accuracy=0.365664 top_k_accuracy_5=0.612344 | |
| Epoch[27] Batch [2300] Speed: 1310.02 samples/sec accuracy=0.362656 top_k_accuracy_5=0.612500 | |
| Epoch[27] Batch [2400] Speed: 1306.91 samples/sec accuracy=0.365078 top_k_accuracy_5=0.613867 | |
| Epoch[27] Batch [2500] Speed: 1312.01 samples/sec accuracy=0.367773 top_k_accuracy_5=0.612148 | |
| Epoch[27] Batch [2600] Speed: 1309.44 samples/sec accuracy=0.364766 top_k_accuracy_5=0.612930 | |
| Epoch[27] Batch [2700] Speed: 1309.83 samples/sec accuracy=0.367422 top_k_accuracy_5=0.612852 | |
| Epoch[27] Batch [2800] Speed: 1312.82 samples/sec accuracy=0.375234 top_k_accuracy_5=0.620547 | |
| Epoch[27] Batch [2900] Speed: 1307.18 samples/sec accuracy=0.370625 top_k_accuracy_5=0.615586 | |
| Epoch[27] Batch [3000] Speed: 1308.88 samples/sec accuracy=0.357461 top_k_accuracy_5=0.609805 | |
| Epoch[27] Batch [3100] Speed: 1316.77 samples/sec accuracy=0.367695 top_k_accuracy_5=0.613281 | |
| Epoch[27] Batch [3200] Speed: 1305.74 samples/sec accuracy=0.369023 top_k_accuracy_5=0.618203 | |
| Epoch[27] Batch [3300] Speed: 1309.31 samples/sec accuracy=0.371758 top_k_accuracy_5=0.615117 | |
| Epoch[27] Batch [3400] Speed: 1313.18 samples/sec accuracy=0.367695 top_k_accuracy_5=0.610000 | |
| Epoch[27] Batch [3500] Speed: 1309.01 samples/sec accuracy=0.373633 top_k_accuracy_5=0.617422 | |
| Epoch[27] Batch [3600] Speed: 1319.34 samples/sec accuracy=0.362539 top_k_accuracy_5=0.614609 | |
| Epoch[27] Batch [3700] Speed: 1309.19 samples/sec accuracy=0.365000 top_k_accuracy_5=0.614219 | |
| Epoch[27] Batch [3800] Speed: 1318.86 samples/sec accuracy=0.368789 top_k_accuracy_5=0.615625 | |
| Epoch[27] Batch [3900] Speed: 1314.81 samples/sec accuracy=0.368516 top_k_accuracy_5=0.611016 | |
| Epoch[27] Batch [4000] Speed: 1318.26 samples/sec accuracy=0.373242 top_k_accuracy_5=0.612227 | |
| Epoch[27] Batch [4100] Speed: 1315.40 samples/sec accuracy=0.366250 top_k_accuracy_5=0.612734 | |
| Epoch[27] Batch [4200] Speed: 1308.91 samples/sec accuracy=0.367852 top_k_accuracy_5=0.614102 | |
| Epoch[27] Batch [4300] Speed: 1308.24 samples/sec accuracy=0.366406 top_k_accuracy_5=0.615664 | |
| Epoch[27] Batch [4400] Speed: 1311.79 samples/sec accuracy=0.368242 top_k_accuracy_5=0.610977 | |
| Epoch[27] Batch [4500] Speed: 1318.84 samples/sec accuracy=0.368437 top_k_accuracy_5=0.613242 | |
| Epoch[27] Batch [4600] Speed: 1317.06 samples/sec accuracy=0.366094 top_k_accuracy_5=0.614258 | |
| Epoch[27] Batch [4700] Speed: 1316.45 samples/sec accuracy=0.361641 top_k_accuracy_5=0.612070 | |
| Epoch[27] Batch [4800] Speed: 1308.97 samples/sec accuracy=0.364453 top_k_accuracy_5=0.607734 | |
| Epoch[27] Batch [4900] Speed: 1316.48 samples/sec accuracy=0.368984 top_k_accuracy_5=0.619258 | |
| Epoch[27] Batch [5000] Speed: 1312.98 samples/sec accuracy=0.369453 top_k_accuracy_5=0.615039 | |
| Epoch[27] Train-accuracy=0.346354 | |
| Epoch[27] Train-top_k_accuracy_5=0.609375 | |
| Epoch[27] Time cost=976.677 | |
| Saved checkpoint to "model/resnet18-0028.params" | |
| Epoch[27] Validation-accuracy=0.379347 | |
| Epoch[27] Validation-top_k_accuracy_5=0.633594 | |
| Epoch[28] Batch [100] Speed: 1315.48 samples/sec accuracy=0.368735 top_k_accuracy_5=0.614712 | |
| Epoch[28] Batch [200] Speed: 1319.92 samples/sec accuracy=0.370859 top_k_accuracy_5=0.618125 | |
| Epoch[28] Batch [300] Speed: 1308.43 samples/sec accuracy=0.369180 top_k_accuracy_5=0.618359 | |
| Epoch[28] Batch [400] Speed: 1300.82 samples/sec accuracy=0.368359 top_k_accuracy_5=0.616172 | |
| Epoch[28] Batch [500] Speed: 1300.96 samples/sec accuracy=0.371328 top_k_accuracy_5=0.614180 | |
| Epoch[28] Batch [600] Speed: 1305.09 samples/sec accuracy=0.365664 top_k_accuracy_5=0.612617 | |
| Epoch[28] Batch [700] Speed: 1299.39 samples/sec accuracy=0.366484 top_k_accuracy_5=0.612539 | |
| Epoch[28] Batch [800] Speed: 1303.05 samples/sec accuracy=0.366680 top_k_accuracy_5=0.610195 | |
| Epoch[28] Batch [900] Speed: 1285.19 samples/sec accuracy=0.366602 top_k_accuracy_5=0.610820 | |
| Epoch[28] Batch [1000] Speed: 1275.91 samples/sec accuracy=0.363281 top_k_accuracy_5=0.610898 | |
| Epoch[28] Batch [1100] Speed: 1288.71 samples/sec accuracy=0.371016 top_k_accuracy_5=0.613516 | |
| Epoch[28] Batch [1200] Speed: 1288.01 samples/sec accuracy=0.367695 top_k_accuracy_5=0.615039 | |
| Epoch[28] Batch [1300] Speed: 1300.10 samples/sec accuracy=0.368555 top_k_accuracy_5=0.612695 | |
| Epoch[28] Batch [1400] Speed: 1296.29 samples/sec accuracy=0.371016 top_k_accuracy_5=0.616680 | |
| Epoch[28] Batch [1500] Speed: 1295.46 samples/sec accuracy=0.366641 top_k_accuracy_5=0.612773 | |
| Epoch[28] Batch [1600] Speed: 1289.10 samples/sec accuracy=0.368164 top_k_accuracy_5=0.614336 | |
| Epoch[28] Batch [1700] Speed: 1292.13 samples/sec accuracy=0.369805 top_k_accuracy_5=0.614883 | |
| Epoch[28] Batch [1800] Speed: 1289.21 samples/sec accuracy=0.365078 top_k_accuracy_5=0.615625 | |
| Epoch[28] Batch [1900] Speed: 1302.45 samples/sec accuracy=0.367695 top_k_accuracy_5=0.610508 | |
| Epoch[28] Batch [2000] Speed: 1288.39 samples/sec accuracy=0.367266 top_k_accuracy_5=0.617148 | |
| Epoch[28] Batch [2100] Speed: 1290.86 samples/sec accuracy=0.361602 top_k_accuracy_5=0.604258 | |
| Epoch[28] Batch [2200] Speed: 1291.03 samples/sec accuracy=0.363555 top_k_accuracy_5=0.609336 | |
| Epoch[28] Batch [2300] Speed: 1284.12 samples/sec accuracy=0.364102 top_k_accuracy_5=0.612461 | |
| Epoch[28] Batch [2400] Speed: 1287.14 samples/sec accuracy=0.364648 top_k_accuracy_5=0.616445 | |
| Epoch[28] Batch [2500] Speed: 1283.49 samples/sec accuracy=0.365664 top_k_accuracy_5=0.612617 | |
| Epoch[28] Batch [2600] Speed: 1279.69 samples/sec accuracy=0.371602 top_k_accuracy_5=0.619180 | |
| Epoch[28] Batch [2700] Speed: 1285.71 samples/sec accuracy=0.369727 top_k_accuracy_5=0.612578 | |
| Epoch[28] Batch [2800] Speed: 1282.49 samples/sec accuracy=0.370508 top_k_accuracy_5=0.617383 | |
| Epoch[28] Batch [2900] Speed: 1288.74 samples/sec accuracy=0.371406 top_k_accuracy_5=0.615039 | |
| Epoch[28] Batch [3000] Speed: 1280.49 samples/sec accuracy=0.364883 top_k_accuracy_5=0.613320 | |
| Epoch[28] Batch [3100] Speed: 1293.01 samples/sec accuracy=0.364180 top_k_accuracy_5=0.613984 | |
| Epoch[28] Batch [3200] Speed: 1285.46 samples/sec accuracy=0.372930 top_k_accuracy_5=0.614492 | |
| Epoch[28] Batch [3300] Speed: 1284.23 samples/sec accuracy=0.369297 top_k_accuracy_5=0.611758 | |
| Epoch[28] Batch [3400] Speed: 1281.04 samples/sec accuracy=0.377109 top_k_accuracy_5=0.618516 | |
| Epoch[28] Batch [3500] Speed: 1290.20 samples/sec accuracy=0.371523 top_k_accuracy_5=0.614922 | |
| Epoch[28] Batch [3600] Speed: 1284.76 samples/sec accuracy=0.363516 top_k_accuracy_5=0.616289 | |
| Epoch[28] Batch [3700] Speed: 1282.37 samples/sec accuracy=0.364258 top_k_accuracy_5=0.612266 | |
| Epoch[28] Batch [3800] Speed: 1283.57 samples/sec accuracy=0.366875 top_k_accuracy_5=0.618125 | |
| Epoch[28] Batch [3900] Speed: 1287.28 samples/sec accuracy=0.364063 top_k_accuracy_5=0.612734 | |
| Epoch[28] Batch [4000] Speed: 1287.47 samples/sec accuracy=0.374883 top_k_accuracy_5=0.619687 | |
| Epoch[28] Batch [4100] Speed: 1289.30 samples/sec accuracy=0.366172 top_k_accuracy_5=0.612344 | |
| Epoch[28] Batch [4200] Speed: 1278.62 samples/sec accuracy=0.369844 top_k_accuracy_5=0.618008 | |
| Epoch[28] Batch [4300] Speed: 1291.99 samples/sec accuracy=0.363672 top_k_accuracy_5=0.610352 | |
| Epoch[28] Batch [4400] Speed: 1276.84 samples/sec accuracy=0.366797 top_k_accuracy_5=0.614844 | |
| Epoch[28] Batch [4500] Speed: 1289.96 samples/sec accuracy=0.370508 top_k_accuracy_5=0.614922 | |
| Epoch[28] Batch [4600] Speed: 1289.52 samples/sec accuracy=0.364414 top_k_accuracy_5=0.614023 | |
| Epoch[28] Batch [4700] Speed: 1293.18 samples/sec accuracy=0.366406 top_k_accuracy_5=0.614492 | |
| Epoch[28] Batch [4800] Speed: 1296.02 samples/sec accuracy=0.364180 top_k_accuracy_5=0.612383 | |
| Epoch[28] Batch [4900] Speed: 1282.77 samples/sec accuracy=0.368281 top_k_accuracy_5=0.618594 | |
| Epoch[28] Batch [5000] Speed: 1285.70 samples/sec accuracy=0.370352 top_k_accuracy_5=0.617188 | |
| Epoch[28] Train-accuracy=0.382812 | |
| Epoch[28] Train-top_k_accuracy_5=0.617188 | |
| Epoch[28] Time cost=993.292 | |
| Saved checkpoint to "model/resnet18-0029.params" | |
| Epoch[28] Validation-accuracy=0.379524 | |
| Epoch[28] Validation-top_k_accuracy_5=0.637675 | |
| Epoch[29] Batch [100] Speed: 1288.82 samples/sec accuracy=0.367226 top_k_accuracy_5=0.613475 | |
| Epoch[29] Batch [200] Speed: 1294.47 samples/sec accuracy=0.368125 top_k_accuracy_5=0.613633 | |
| Epoch[29] Batch [300] Speed: 1299.59 samples/sec accuracy=0.369570 top_k_accuracy_5=0.621563 | |
| Epoch[29] Batch [400] Speed: 1297.82 samples/sec accuracy=0.367148 top_k_accuracy_5=0.613008 | |
| Epoch[29] Batch [500] Speed: 1305.15 samples/sec accuracy=0.369141 top_k_accuracy_5=0.614648 | |
| Epoch[29] Batch [600] Speed: 1300.60 samples/sec accuracy=0.368516 top_k_accuracy_5=0.613867 | |
| Epoch[29] Batch [700] Speed: 1300.31 samples/sec accuracy=0.366563 top_k_accuracy_5=0.613477 | |
| Epoch[29] Batch [800] Speed: 1299.53 samples/sec accuracy=0.365859 top_k_accuracy_5=0.612852 | |
| Epoch[29] Batch [900] Speed: 1301.74 samples/sec accuracy=0.368789 top_k_accuracy_5=0.613555 | |
| Epoch[29] Batch [1000] Speed: 1302.57 samples/sec accuracy=0.368242 top_k_accuracy_5=0.615430 | |
| Epoch[29] Batch [1100] Speed: 1294.65 samples/sec accuracy=0.369648 top_k_accuracy_5=0.619062 | |
| Epoch[29] Batch [1200] Speed: 1305.32 samples/sec accuracy=0.369258 top_k_accuracy_5=0.615000 | |
| Epoch[29] Batch [1300] Speed: 1295.47 samples/sec accuracy=0.367031 top_k_accuracy_5=0.612930 | |
| Epoch[29] Batch [1400] Speed: 1302.71 samples/sec accuracy=0.367188 top_k_accuracy_5=0.615781 | |
| Epoch[29] Batch [1500] Speed: 1311.06 samples/sec accuracy=0.369063 top_k_accuracy_5=0.614375 | |
| Epoch[29] Batch [1600] Speed: 1302.76 samples/sec accuracy=0.364531 top_k_accuracy_5=0.613672 | |
| Epoch[29] Batch [1700] Speed: 1300.72 samples/sec accuracy=0.372500 top_k_accuracy_5=0.618906 | |
| Epoch[29] Batch [1800] Speed: 1297.60 samples/sec accuracy=0.364453 top_k_accuracy_5=0.612227 | |
| Epoch[29] Batch [1900] Speed: 1297.25 samples/sec accuracy=0.368242 top_k_accuracy_5=0.612852 | |
| Epoch[29] Batch [2000] Speed: 1299.68 samples/sec accuracy=0.370508 top_k_accuracy_5=0.612344 | |
| Epoch[29] Batch [2100] Speed: 1298.66 samples/sec accuracy=0.362031 top_k_accuracy_5=0.608633 | |
| Epoch[29] Batch [2200] Speed: 1297.40 samples/sec accuracy=0.364687 top_k_accuracy_5=0.612422 | |
| Epoch[29] Batch [2300] Speed: 1301.16 samples/sec accuracy=0.363672 top_k_accuracy_5=0.607070 | |
| Epoch[29] Batch [2400] Speed: 1298.98 samples/sec accuracy=0.368086 top_k_accuracy_5=0.610313 | |
| Epoch[29] Batch [2500] Speed: 1301.60 samples/sec accuracy=0.367344 top_k_accuracy_5=0.611641 | |
| Epoch[29] Batch [2600] Speed: 1289.31 samples/sec accuracy=0.363750 top_k_accuracy_5=0.610547 | |
| Epoch[29] Batch [2700] Speed: 1294.72 samples/sec accuracy=0.365859 top_k_accuracy_5=0.610742 | |
| Epoch[29] Batch [2800] Speed: 1292.71 samples/sec accuracy=0.372617 top_k_accuracy_5=0.620156 | |
| Epoch[29] Batch [2900] Speed: 1292.99 samples/sec accuracy=0.373008 top_k_accuracy_5=0.616484 | |
| Epoch[29] Batch [3000] Speed: 1289.12 samples/sec accuracy=0.358203 top_k_accuracy_5=0.611719 | |
| Epoch[29] Batch [3100] Speed: 1287.33 samples/sec accuracy=0.365117 top_k_accuracy_5=0.612383 | |
| Epoch[29] Batch [3200] Speed: 1277.82 samples/sec accuracy=0.374063 top_k_accuracy_5=0.622070 | |
| Epoch[29] Batch [3300] Speed: 1285.79 samples/sec accuracy=0.369570 top_k_accuracy_5=0.612305 | |
| Epoch[29] Batch [3400] Speed: 1273.33 samples/sec accuracy=0.369023 top_k_accuracy_5=0.618359 | |
| Epoch[29] Batch [3500] Speed: 1282.44 samples/sec accuracy=0.375234 top_k_accuracy_5=0.617852 | |
| Epoch[29] Batch [3600] Speed: 1281.26 samples/sec accuracy=0.366250 top_k_accuracy_5=0.613242 | |
| Epoch[29] Batch [3700] Speed: 1283.13 samples/sec accuracy=0.367539 top_k_accuracy_5=0.614922 | |
| Epoch[29] Batch [3800] Speed: 1289.68 samples/sec accuracy=0.370898 top_k_accuracy_5=0.616797 | |
| Epoch[29] Batch [3900] Speed: 1283.15 samples/sec accuracy=0.370273 top_k_accuracy_5=0.613672 | |
| Epoch[29] Batch [4000] Speed: 1281.18 samples/sec accuracy=0.371719 top_k_accuracy_5=0.615742 | |
| Epoch[29] Batch [4100] Speed: 1281.89 samples/sec accuracy=0.364766 top_k_accuracy_5=0.613867 | |
| Epoch[29] Batch [4200] Speed: 1282.82 samples/sec accuracy=0.365859 top_k_accuracy_5=0.616172 | |
| Epoch[29] Batch [4300] Speed: 1283.08 samples/sec accuracy=0.367656 top_k_accuracy_5=0.613281 | |
| Epoch[29] Batch [4400] Speed: 1280.44 samples/sec accuracy=0.368477 top_k_accuracy_5=0.614961 | |
| Epoch[29] Batch [4500] Speed: 1281.77 samples/sec accuracy=0.370195 top_k_accuracy_5=0.613555 | |
| Epoch[29] Batch [4600] Speed: 1278.65 samples/sec accuracy=0.368672 top_k_accuracy_5=0.617656 | |
| Epoch[29] Batch [4700] Speed: 1282.85 samples/sec accuracy=0.371445 top_k_accuracy_5=0.616875 | |
| Epoch[29] Batch [4800] Speed: 1290.06 samples/sec accuracy=0.369141 top_k_accuracy_5=0.615898 | |
| Epoch[29] Batch [4900] Speed: 1285.64 samples/sec accuracy=0.372617 top_k_accuracy_5=0.621133 | |
| Update[150121]: Change learning rate to 1.00000e-02 | |
| Epoch[29] Batch [5000] Speed: 1282.62 samples/sec accuracy=0.363555 top_k_accuracy_5=0.609609 | |
| Epoch[29] Train-accuracy=0.367188 | |
| Epoch[29] Train-top_k_accuracy_5=0.597656 | |
| Epoch[29] Time cost=991.747 | |
| Saved checkpoint to "model/resnet18-0030.params" | |
| Epoch[29] Validation-accuracy=0.372817 | |
| Epoch[29] Validation-top_k_accuracy_5=0.630429 | |
| Epoch[30] Batch [100] Speed: 1281.11 samples/sec accuracy=0.389619 top_k_accuracy_5=0.634437 | |
| Epoch[30] Batch [200] Speed: 1291.90 samples/sec accuracy=0.414258 top_k_accuracy_5=0.655742 | |
| Epoch[30] Batch [300] Speed: 1291.60 samples/sec accuracy=0.429492 top_k_accuracy_5=0.672344 | |
| Epoch[30] Batch [400] Speed: 1290.05 samples/sec accuracy=0.431992 top_k_accuracy_5=0.673945 | |
| Epoch[30] Batch [500] Speed: 1292.76 samples/sec accuracy=0.438750 top_k_accuracy_5=0.677383 | |
| Epoch[30] Batch [600] Speed: 1279.05 samples/sec accuracy=0.441992 top_k_accuracy_5=0.678984 | |
| Epoch[30] Batch [700] Speed: 1276.70 samples/sec accuracy=0.439766 top_k_accuracy_5=0.679297 | |
| Epoch[30] Batch [800] Speed: 1279.87 samples/sec accuracy=0.440078 top_k_accuracy_5=0.681016 | |
| Epoch[30] Batch [900] Speed: 1285.51 samples/sec accuracy=0.445977 top_k_accuracy_5=0.686875 | |
| Epoch[30] Batch [1000] Speed: 1281.94 samples/sec accuracy=0.449648 top_k_accuracy_5=0.688945 | |
| Epoch[30] Batch [1100] Speed: 1273.14 samples/sec accuracy=0.453711 top_k_accuracy_5=0.691836 | |
| Epoch[30] Batch [1200] Speed: 1280.86 samples/sec accuracy=0.453906 top_k_accuracy_5=0.694688 | |
| Epoch[30] Batch [1300] Speed: 1272.78 samples/sec accuracy=0.448945 top_k_accuracy_5=0.689102 | |
| Epoch[30] Batch [1400] Speed: 1283.89 samples/sec accuracy=0.451367 top_k_accuracy_5=0.693281 | |
| Epoch[30] Batch [1500] Speed: 1279.71 samples/sec accuracy=0.456719 top_k_accuracy_5=0.689375 | |
| Epoch[30] Batch [1600] Speed: 1283.08 samples/sec accuracy=0.448633 top_k_accuracy_5=0.694102 | |
| Epoch[30] Batch [1700] Speed: 1280.32 samples/sec accuracy=0.462969 top_k_accuracy_5=0.697773 | |
| Epoch[30] Batch [1800] Speed: 1269.12 samples/sec accuracy=0.450664 top_k_accuracy_5=0.696133 | |
| Epoch[30] Batch [1900] Speed: 1272.25 samples/sec accuracy=0.457109 top_k_accuracy_5=0.694961 | |
| Epoch[30] Batch [2000] Speed: 1287.79 samples/sec accuracy=0.464023 top_k_accuracy_5=0.701562 | |
| Epoch[30] Batch [2100] Speed: 1286.29 samples/sec accuracy=0.457852 top_k_accuracy_5=0.695078 | |
| Epoch[30] Batch [2200] Speed: 1275.03 samples/sec accuracy=0.461016 top_k_accuracy_5=0.700000 | |
| Epoch[30] Batch [2300] Speed: 1274.49 samples/sec accuracy=0.459766 top_k_accuracy_5=0.697461 | |
| Epoch[30] Batch [2400] Speed: 1285.84 samples/sec accuracy=0.461719 top_k_accuracy_5=0.701016 | |
| Epoch[30] Batch [2500] Speed: 1279.93 samples/sec accuracy=0.467305 top_k_accuracy_5=0.701406 | |
| Epoch[30] Batch [2600] Speed: 1273.88 samples/sec accuracy=0.461328 top_k_accuracy_5=0.705820 | |
| Epoch[30] Batch [2700] Speed: 1283.59 samples/sec accuracy=0.467266 top_k_accuracy_5=0.703242 | |
| Epoch[30] Batch [2800] Speed: 1285.29 samples/sec accuracy=0.463242 top_k_accuracy_5=0.702148 | |
| Epoch[30] Batch [2900] Speed: 1274.18 samples/sec accuracy=0.467227 top_k_accuracy_5=0.705391 | |
| Epoch[30] Batch [3000] Speed: 1266.29 samples/sec accuracy=0.457070 top_k_accuracy_5=0.698125 | |
| Epoch[30] Batch [3100] Speed: 1277.68 samples/sec accuracy=0.470039 top_k_accuracy_5=0.705703 | |
| Epoch[30] Batch [3200] Speed: 1270.50 samples/sec accuracy=0.471758 top_k_accuracy_5=0.710469 | |
| Epoch[30] Batch [3300] Speed: 1278.19 samples/sec accuracy=0.474727 top_k_accuracy_5=0.710547 | |
| Epoch[30] Batch [3400] Speed: 1270.74 samples/sec accuracy=0.471133 top_k_accuracy_5=0.706680 | |
| Epoch[30] Batch [3500] Speed: 1275.40 samples/sec accuracy=0.470859 top_k_accuracy_5=0.709648 | |
| Epoch[30] Batch [3600] Speed: 1267.50 samples/sec accuracy=0.469766 top_k_accuracy_5=0.709297 | |
| Epoch[30] Batch [3700] Speed: 1278.47 samples/sec accuracy=0.470820 top_k_accuracy_5=0.707266 | |
| Epoch[30] Batch [3800] Speed: 1275.48 samples/sec accuracy=0.479023 top_k_accuracy_5=0.715117 | |
| Epoch[30] Batch [3900] Speed: 1282.34 samples/sec accuracy=0.471914 top_k_accuracy_5=0.709766 | |
| Epoch[30] Batch [4000] Speed: 1279.30 samples/sec accuracy=0.477422 top_k_accuracy_5=0.718281 | |
| Epoch[30] Batch [4100] Speed: 1281.09 samples/sec accuracy=0.474102 top_k_accuracy_5=0.716055 | |
| Epoch[30] Batch [4200] Speed: 1291.13 samples/sec accuracy=0.478867 top_k_accuracy_5=0.717344 | |
| Epoch[30] Batch [4300] Speed: 1297.82 samples/sec accuracy=0.474766 top_k_accuracy_5=0.709766 | |
| Epoch[30] Batch [4400] Speed: 1291.80 samples/sec accuracy=0.479258 top_k_accuracy_5=0.718359 | |
| Epoch[30] Batch [4500] Speed: 1287.88 samples/sec accuracy=0.479687 top_k_accuracy_5=0.717930 | |
| Epoch[30] Batch [4600] Speed: 1273.70 samples/sec accuracy=0.479609 top_k_accuracy_5=0.717227 | |
| Epoch[30] Batch [4700] Speed: 1270.30 samples/sec accuracy=0.483555 top_k_accuracy_5=0.721172 | |
| Epoch[30] Batch [4800] Speed: 1278.50 samples/sec accuracy=0.482109 top_k_accuracy_5=0.719805 | |
| Epoch[30] Batch [4900] Speed: 1292.06 samples/sec accuracy=0.485781 top_k_accuracy_5=0.724141 | |
| Epoch[30] Batch [5000] Speed: 1273.35 samples/sec accuracy=0.483047 top_k_accuracy_5=0.721172 | |
| Epoch[30] Train-accuracy=0.466797 | |
| Epoch[30] Train-top_k_accuracy_5=0.671875 | |
| Epoch[30] Time cost=1001.113 | |
| Saved checkpoint to "model/resnet18-0031.params" | |
| Epoch[30] Validation-accuracy=0.495052 | |
| Epoch[30] Validation-top_k_accuracy_5=0.738321 | |
| Epoch[31] Batch [100] Speed: 1288.76 samples/sec accuracy=0.477220 top_k_accuracy_5=0.715463 | |
| Epoch[31] Batch [200] Speed: 1302.61 samples/sec accuracy=0.466445 top_k_accuracy_5=0.708594 | |
| Epoch[31] Batch [300] Speed: 1299.32 samples/sec accuracy=0.472578 top_k_accuracy_5=0.712187 | |
| Epoch[31] Batch [400] Speed: 1295.08 samples/sec accuracy=0.469375 top_k_accuracy_5=0.708477 | |
| Epoch[31] Batch [500] Speed: 1298.14 samples/sec accuracy=0.478594 top_k_accuracy_5=0.715664 | |
| Epoch[31] Batch [600] Speed: 1297.75 samples/sec accuracy=0.476094 top_k_accuracy_5=0.715000 | |
| Epoch[31] Batch [700] Speed: 1300.19 samples/sec accuracy=0.474258 top_k_accuracy_5=0.712266 | |
| Epoch[31] Batch [800] Speed: 1294.82 samples/sec accuracy=0.468984 top_k_accuracy_5=0.706953 | |
| Epoch[31] Batch [900] Speed: 1289.93 samples/sec accuracy=0.478906 top_k_accuracy_5=0.714727 | |
| Epoch[31] Batch [1000] Speed: 1290.42 samples/sec accuracy=0.478633 top_k_accuracy_5=0.716758 | |
| Epoch[31] Batch [1100] Speed: 1290.32 samples/sec accuracy=0.473945 top_k_accuracy_5=0.716016 | |
| Epoch[31] Batch [1200] Speed: 1285.50 samples/sec accuracy=0.478672 top_k_accuracy_5=0.719414 | |
| Epoch[31] Batch [1300] Speed: 1288.72 samples/sec accuracy=0.477266 top_k_accuracy_5=0.713828 | |
| Epoch[31] Batch [1400] Speed: 1295.28 samples/sec accuracy=0.481680 top_k_accuracy_5=0.719922 | |
| Epoch[31] Batch [1500] Speed: 1294.45 samples/sec accuracy=0.478906 top_k_accuracy_5=0.714688 | |
| Epoch[31] Batch [1600] Speed: 1290.17 samples/sec accuracy=0.475195 top_k_accuracy_5=0.714141 | |
| Epoch[31] Batch [1700] Speed: 1291.09 samples/sec accuracy=0.479805 top_k_accuracy_5=0.716445 | |
| Epoch[31] Batch [1800] Speed: 1298.15 samples/sec accuracy=0.479102 top_k_accuracy_5=0.717461 | |
| Epoch[31] Batch [1900] Speed: 1294.50 samples/sec accuracy=0.477461 top_k_accuracy_5=0.718828 | |
| Epoch[31] Batch [2000] Speed: 1294.26 samples/sec accuracy=0.486133 top_k_accuracy_5=0.720430 | |
| Epoch[31] Batch [2100] Speed: 1293.30 samples/sec accuracy=0.475859 top_k_accuracy_5=0.713047 | |
| Epoch[31] Batch [2200] Speed: 1300.32 samples/sec accuracy=0.477969 top_k_accuracy_5=0.714961 | |
| Epoch[31] Batch [2300] Speed: 1286.24 samples/sec accuracy=0.479375 top_k_accuracy_5=0.715859 | |
| Epoch[31] Batch [2400] Speed: 1300.90 samples/sec accuracy=0.479492 top_k_accuracy_5=0.715000 | |
| Epoch[31] Batch [2500] Speed: 1299.09 samples/sec accuracy=0.484844 top_k_accuracy_5=0.720820 | |
| Epoch[31] Batch [2600] Speed: 1301.27 samples/sec accuracy=0.482344 top_k_accuracy_5=0.719023 | |
| Epoch[31] Batch [2700] Speed: 1298.28 samples/sec accuracy=0.480000 top_k_accuracy_5=0.717656 | |
| Epoch[31] Batch [2800] Speed: 1300.89 samples/sec accuracy=0.484453 top_k_accuracy_5=0.720703 | |
| Epoch[31] Batch [2900] Speed: 1298.42 samples/sec accuracy=0.490039 top_k_accuracy_5=0.721172 | |
| Epoch[31] Batch [3000] Speed: 1314.77 samples/sec accuracy=0.479492 top_k_accuracy_5=0.718203 | |
| Epoch[31] Batch [3100] Speed: 1298.21 samples/sec accuracy=0.482969 top_k_accuracy_5=0.718594 | |
| Epoch[31] Batch [3200] Speed: 1301.80 samples/sec accuracy=0.487227 top_k_accuracy_5=0.726641 | |
| Epoch[31] Batch [3300] Speed: 1296.34 samples/sec accuracy=0.483438 top_k_accuracy_5=0.718242 | |
| Epoch[31] Batch [3400] Speed: 1302.24 samples/sec accuracy=0.488516 top_k_accuracy_5=0.724141 | |
| Epoch[31] Batch [3500] Speed: 1293.08 samples/sec accuracy=0.490547 top_k_accuracy_5=0.724727 | |
| Epoch[31] Batch [3600] Speed: 1293.89 samples/sec accuracy=0.491484 top_k_accuracy_5=0.728320 | |
| Epoch[31] Batch [3700] Speed: 1305.53 samples/sec accuracy=0.483906 top_k_accuracy_5=0.723320 | |
| Epoch[31] Batch [3800] Speed: 1299.51 samples/sec accuracy=0.490000 top_k_accuracy_5=0.725391 | |
| Epoch[31] Batch [3900] Speed: 1285.88 samples/sec accuracy=0.485352 top_k_accuracy_5=0.726953 | |
| Epoch[31] Batch [4000] Speed: 1313.82 samples/sec accuracy=0.496250 top_k_accuracy_5=0.728828 | |
| Epoch[31] Batch [4100] Speed: 1301.04 samples/sec accuracy=0.489883 top_k_accuracy_5=0.725273 | |
| Epoch[31] Batch [4200] Speed: 1282.32 samples/sec accuracy=0.490078 top_k_accuracy_5=0.725820 | |
| Epoch[31] Batch [4300] Speed: 1292.86 samples/sec accuracy=0.487070 top_k_accuracy_5=0.719102 | |
| Epoch[31] Batch [4400] Speed: 1299.15 samples/sec accuracy=0.490703 top_k_accuracy_5=0.729570 | |
| Epoch[31] Batch [4500] Speed: 1298.06 samples/sec accuracy=0.494648 top_k_accuracy_5=0.729297 | |
| Epoch[31] Batch [4600] Speed: 1299.01 samples/sec accuracy=0.491602 top_k_accuracy_5=0.727578 | |
| Epoch[31] Batch [4700] Speed: 1307.07 samples/sec accuracy=0.494219 top_k_accuracy_5=0.728086 | |
| Epoch[31] Batch [4800] Speed: 1291.20 samples/sec accuracy=0.498906 top_k_accuracy_5=0.734062 | |
| Epoch[31] Batch [4900] Speed: 1300.49 samples/sec accuracy=0.499922 top_k_accuracy_5=0.734297 | |
| Epoch[31] Batch [5000] Speed: 1296.81 samples/sec accuracy=0.492422 top_k_accuracy_5=0.732500 | |
| Epoch[31] Train-accuracy=0.428385 | |
| Epoch[31] Train-top_k_accuracy_5=0.690104 | |
| Epoch[31] Time cost=988.369 | |
| Saved checkpoint to "model/resnet18-0032.params" | |
| Epoch[31] Validation-accuracy=0.506931 | |
| Epoch[31] Validation-top_k_accuracy_5=0.747055 | |
| Epoch[32] Batch [100] Speed: 1276.88 samples/sec accuracy=0.490331 top_k_accuracy_5=0.725905 | |
| Epoch[32] Batch [200] Speed: 1300.11 samples/sec accuracy=0.483047 top_k_accuracy_5=0.717969 | |
| Epoch[32] Batch [300] Speed: 1299.89 samples/sec accuracy=0.493633 top_k_accuracy_5=0.727266 | |
| Epoch[32] Batch [400] Speed: 1295.05 samples/sec accuracy=0.481719 top_k_accuracy_5=0.721367 | |
| Epoch[32] Batch [500] Speed: 1312.66 samples/sec accuracy=0.488867 top_k_accuracy_5=0.726953 | |
| Epoch[32] Batch [600] Speed: 1300.83 samples/sec accuracy=0.486680 top_k_accuracy_5=0.724922 | |
| Epoch[32] Batch [700] Speed: 1300.11 samples/sec accuracy=0.485625 top_k_accuracy_5=0.719648 | |
| Epoch[32] Batch [800] Speed: 1290.18 samples/sec accuracy=0.481445 top_k_accuracy_5=0.716953 | |
| Epoch[32] Batch [900] Speed: 1310.76 samples/sec accuracy=0.488945 top_k_accuracy_5=0.723906 | |
| Epoch[32] Batch [1000] Speed: 1301.00 samples/sec accuracy=0.485391 top_k_accuracy_5=0.725977 | |
| Epoch[32] Batch [1100] Speed: 1303.26 samples/sec accuracy=0.490938 top_k_accuracy_5=0.724844 | |
| Epoch[32] Batch [1200] Speed: 1298.79 samples/sec accuracy=0.491211 top_k_accuracy_5=0.726484 | |
| Epoch[32] Batch [1300] Speed: 1303.02 samples/sec accuracy=0.492422 top_k_accuracy_5=0.725469 | |
| Epoch[32] Batch [1400] Speed: 1299.29 samples/sec accuracy=0.491289 top_k_accuracy_5=0.725352 | |
| Epoch[32] Batch [1500] Speed: 1307.48 samples/sec accuracy=0.490000 top_k_accuracy_5=0.722773 | |
| Epoch[32] Batch [1600] Speed: 1306.44 samples/sec accuracy=0.485156 top_k_accuracy_5=0.723672 | |
| Epoch[32] Batch [1700] Speed: 1310.11 samples/sec accuracy=0.487148 top_k_accuracy_5=0.724336 | |
| Epoch[32] Batch [1800] Speed: 1302.63 samples/sec accuracy=0.487461 top_k_accuracy_5=0.725586 | |
| Epoch[32] Batch [1900] Speed: 1309.73 samples/sec accuracy=0.490352 top_k_accuracy_5=0.724180 | |
| Epoch[32] Batch [2000] Speed: 1297.46 samples/sec accuracy=0.493359 top_k_accuracy_5=0.731211 | |
| Epoch[32] Batch [2100] Speed: 1299.87 samples/sec accuracy=0.488438 top_k_accuracy_5=0.724492 | |
| Epoch[32] Batch [2200] Speed: 1309.78 samples/sec accuracy=0.492070 top_k_accuracy_5=0.727305 | |
| Epoch[32] Batch [2300] Speed: 1298.46 samples/sec accuracy=0.482070 top_k_accuracy_5=0.721836 | |
| Epoch[32] Batch [2400] Speed: 1295.98 samples/sec accuracy=0.489531 top_k_accuracy_5=0.727461 | |
| Epoch[32] Batch [2500] Speed: 1297.16 samples/sec accuracy=0.489883 top_k_accuracy_5=0.725625 | |
| Epoch[32] Batch [2600] Speed: 1297.24 samples/sec accuracy=0.486680 top_k_accuracy_5=0.729180 | |
| Epoch[32] Batch [2700] Speed: 1302.59 samples/sec accuracy=0.489883 top_k_accuracy_5=0.723750 | |
| Epoch[32] Batch [2800] Speed: 1295.66 samples/sec accuracy=0.493750 top_k_accuracy_5=0.726602 | |
| Epoch[32] Batch [2900] Speed: 1290.46 samples/sec accuracy=0.494102 top_k_accuracy_5=0.728555 | |
| Epoch[32] Batch [3000] Speed: 1302.16 samples/sec accuracy=0.491602 top_k_accuracy_5=0.726328 | |
| Epoch[32] Batch [3100] Speed: 1287.80 samples/sec accuracy=0.492734 top_k_accuracy_5=0.728750 | |
| Epoch[32] Batch [3200] Speed: 1302.28 samples/sec accuracy=0.492656 top_k_accuracy_5=0.730625 | |
| Epoch[32] Batch [3300] Speed: 1305.05 samples/sec accuracy=0.490469 top_k_accuracy_5=0.727031 | |
| Epoch[32] Batch [3400] Speed: 1295.64 samples/sec accuracy=0.499258 top_k_accuracy_5=0.731523 | |
| Epoch[32] Batch [3500] Speed: 1295.02 samples/sec accuracy=0.499063 top_k_accuracy_5=0.732539 | |
| Epoch[32] Batch [3600] Speed: 1298.46 samples/sec accuracy=0.492500 top_k_accuracy_5=0.733203 | |
| Epoch[32] Batch [3700] Speed: 1304.98 samples/sec accuracy=0.496289 top_k_accuracy_5=0.734922 | |
| Epoch[32] Batch [3800] Speed: 1307.91 samples/sec accuracy=0.497383 top_k_accuracy_5=0.730820 | |
| Epoch[32] Batch [3900] Speed: 1295.75 samples/sec accuracy=0.497383 top_k_accuracy_5=0.726562 | |
| Epoch[32] Batch [4000] Speed: 1316.88 samples/sec accuracy=0.503320 top_k_accuracy_5=0.733906 | |
| Epoch[32] Batch [4100] Speed: 1324.29 samples/sec accuracy=0.491172 top_k_accuracy_5=0.730391 | |
| Epoch[32] Batch [4200] Speed: 1342.85 samples/sec accuracy=0.501133 top_k_accuracy_5=0.734180 | |
| Epoch[32] Batch [4300] Speed: 1316.66 samples/sec accuracy=0.500938 top_k_accuracy_5=0.731328 | |
| Epoch[32] Batch [4400] Speed: 1309.55 samples/sec accuracy=0.502422 top_k_accuracy_5=0.732891 | |
| Epoch[32] Batch [4500] Speed: 1310.64 samples/sec accuracy=0.503125 top_k_accuracy_5=0.735586 | |
| Epoch[32] Batch [4600] Speed: 1310.98 samples/sec accuracy=0.499531 top_k_accuracy_5=0.733242 | |
| Epoch[32] Batch [4700] Speed: 1312.84 samples/sec accuracy=0.499023 top_k_accuracy_5=0.734805 | |
| Epoch[32] Batch [4800] Speed: 1314.18 samples/sec accuracy=0.494258 top_k_accuracy_5=0.732734 | |
| Epoch[32] Batch [4900] Speed: 1311.85 samples/sec accuracy=0.506055 top_k_accuracy_5=0.736289 | |
| Epoch[32] Batch [5000] Speed: 1299.33 samples/sec accuracy=0.496445 top_k_accuracy_5=0.733281 | |
| Epoch[32] Train-accuracy=0.488281 | |
| Epoch[32] Train-top_k_accuracy_5=0.717773 | |
| Epoch[32] Time cost=983.314 | |
| Saved checkpoint to "model/resnet18-0033.params" | |
| Epoch[32] Validation-accuracy=0.512257 | |
| Epoch[32] Validation-top_k_accuracy_5=0.751116 | |
| Epoch[33] Batch [100] Speed: 1298.97 samples/sec accuracy=0.494547 top_k_accuracy_5=0.732557 | |
| Epoch[33] Batch [200] Speed: 1306.51 samples/sec accuracy=0.489766 top_k_accuracy_5=0.725078 | |
| Epoch[33] Batch [300] Speed: 1309.02 samples/sec accuracy=0.496211 top_k_accuracy_5=0.730938 | |
| Epoch[33] Batch [400] Speed: 1297.76 samples/sec accuracy=0.490195 top_k_accuracy_5=0.727695 | |
| Epoch[33] Batch [500] Speed: 1305.49 samples/sec accuracy=0.494766 top_k_accuracy_5=0.732187 | |
| Epoch[33] Batch [600] Speed: 1311.64 samples/sec accuracy=0.496602 top_k_accuracy_5=0.734727 | |
| Epoch[33] Batch [700] Speed: 1303.12 samples/sec accuracy=0.493477 top_k_accuracy_5=0.727344 | |
| Epoch[33] Batch [800] Speed: 1307.33 samples/sec accuracy=0.495469 top_k_accuracy_5=0.725625 | |
| Epoch[33] Batch [900] Speed: 1311.58 samples/sec accuracy=0.493164 top_k_accuracy_5=0.729844 | |
| Epoch[33] Batch [1000] Speed: 1317.36 samples/sec accuracy=0.494141 top_k_accuracy_5=0.730313 | |
| Epoch[33] Batch [1100] Speed: 1306.42 samples/sec accuracy=0.501445 top_k_accuracy_5=0.730742 | |
| Epoch[33] Batch [1200] Speed: 1297.35 samples/sec accuracy=0.493984 top_k_accuracy_5=0.732891 | |
| Epoch[33] Batch [1300] Speed: 1308.43 samples/sec accuracy=0.493477 top_k_accuracy_5=0.727812 | |
| Epoch[33] Batch [1400] Speed: 1298.05 samples/sec accuracy=0.494063 top_k_accuracy_5=0.731406 | |
| Epoch[33] Batch [1500] Speed: 1306.35 samples/sec accuracy=0.491563 top_k_accuracy_5=0.725508 | |
| Epoch[33] Batch [1600] Speed: 1313.03 samples/sec accuracy=0.492422 top_k_accuracy_5=0.726016 | |
| Epoch[33] Batch [1700] Speed: 1306.07 samples/sec accuracy=0.497812 top_k_accuracy_5=0.734883 | |
| Epoch[33] Batch [1800] Speed: 1320.08 samples/sec accuracy=0.497891 top_k_accuracy_5=0.726719 | |
| Epoch[33] Batch [1900] Speed: 1308.37 samples/sec accuracy=0.498203 top_k_accuracy_5=0.734023 | |
| Epoch[33] Batch [2000] Speed: 1310.06 samples/sec accuracy=0.502031 top_k_accuracy_5=0.735117 | |
| Epoch[33] Batch [2100] Speed: 1309.31 samples/sec accuracy=0.493984 top_k_accuracy_5=0.730117 | |
| Epoch[33] Batch [2200] Speed: 1308.95 samples/sec accuracy=0.501992 top_k_accuracy_5=0.733203 | |
| Epoch[33] Batch [2300] Speed: 1316.30 samples/sec accuracy=0.489766 top_k_accuracy_5=0.727617 | |
| Epoch[33] Batch [2400] Speed: 1312.95 samples/sec accuracy=0.497266 top_k_accuracy_5=0.733594 | |
| Epoch[33] Batch [2500] Speed: 1310.58 samples/sec accuracy=0.499453 top_k_accuracy_5=0.735859 | |
| Epoch[33] Batch [2600] Speed: 1307.59 samples/sec accuracy=0.493867 top_k_accuracy_5=0.729453 | |
| Epoch[33] Batch [2700] Speed: 1303.49 samples/sec accuracy=0.497969 top_k_accuracy_5=0.729336 | |
| Epoch[33] Batch [2800] Speed: 1308.42 samples/sec accuracy=0.497695 top_k_accuracy_5=0.731406 | |
| Epoch[33] Batch [2900] Speed: 1315.74 samples/sec accuracy=0.502617 top_k_accuracy_5=0.737461 | |
| Epoch[33] Batch [3000] Speed: 1313.83 samples/sec accuracy=0.494570 top_k_accuracy_5=0.733633 | |
| Epoch[33] Batch [3100] Speed: 1310.22 samples/sec accuracy=0.494102 top_k_accuracy_5=0.730508 | |
| Epoch[33] Batch [3200] Speed: 1310.67 samples/sec accuracy=0.500977 top_k_accuracy_5=0.736484 | |
| Epoch[33] Batch [3300] Speed: 1312.42 samples/sec accuracy=0.497344 top_k_accuracy_5=0.730820 | |
| Epoch[33] Batch [3400] Speed: 1307.81 samples/sec accuracy=0.499609 top_k_accuracy_5=0.733945 | |
| Epoch[33] Batch [3500] Speed: 1304.49 samples/sec accuracy=0.506289 top_k_accuracy_5=0.736172 | |
| Epoch[33] Batch [3600] Speed: 1306.16 samples/sec accuracy=0.496875 top_k_accuracy_5=0.733203 | |
| Epoch[33] Batch [3700] Speed: 1311.32 samples/sec accuracy=0.498047 top_k_accuracy_5=0.733516 | |
| Epoch[33] Batch [3800] Speed: 1308.88 samples/sec accuracy=0.500391 top_k_accuracy_5=0.735117 | |
| Epoch[33] Batch [3900] Speed: 1304.54 samples/sec accuracy=0.497109 top_k_accuracy_5=0.735195 | |
| Epoch[33] Batch [4000] Speed: 1310.83 samples/sec accuracy=0.508906 top_k_accuracy_5=0.745469 | |
| Epoch[33] Batch [4100] Speed: 1310.55 samples/sec accuracy=0.499492 top_k_accuracy_5=0.734609 | |
| Epoch[33] Batch [4200] Speed: 1305.45 samples/sec accuracy=0.498242 top_k_accuracy_5=0.735000 | |
| Epoch[33] Batch [4300] Speed: 1317.31 samples/sec accuracy=0.500000 top_k_accuracy_5=0.731250 | |
| Epoch[33] Batch [4400] Speed: 1322.03 samples/sec accuracy=0.501328 top_k_accuracy_5=0.739727 | |
| Epoch[33] Batch [4500] Speed: 1323.19 samples/sec accuracy=0.502461 top_k_accuracy_5=0.738359 | |
| Epoch[33] Batch [4600] Speed: 1312.81 samples/sec accuracy=0.504844 top_k_accuracy_5=0.739883 | |
| Epoch[33] Batch [4700] Speed: 1321.91 samples/sec accuracy=0.504336 top_k_accuracy_5=0.738086 | |
| Epoch[33] Batch [4800] Speed: 1321.30 samples/sec accuracy=0.500977 top_k_accuracy_5=0.737812 | |
| Epoch[33] Batch [4900] Speed: 1321.86 samples/sec accuracy=0.508398 top_k_accuracy_5=0.741055 | |
| Epoch[33] Batch [5000] Speed: 1314.45 samples/sec accuracy=0.501875 top_k_accuracy_5=0.739062 | |
| Epoch[33] Train-accuracy=0.459635 | |
| Epoch[33] Train-top_k_accuracy_5=0.701823 | |
| Epoch[33] Time cost=978.213 | |
| Saved checkpoint to "model/resnet18-0034.params" | |
| Epoch[33] Validation-accuracy=0.517067 | |
| Epoch[33] Validation-top_k_accuracy_5=0.753986 | |
| Epoch[34] Batch [100] Speed: 1317.14 samples/sec accuracy=0.502282 top_k_accuracy_5=0.734491 | |
| Epoch[34] Batch [200] Speed: 1308.91 samples/sec accuracy=0.499688 top_k_accuracy_5=0.732227 | |
| Epoch[34] Batch [300] Speed: 1290.63 samples/sec accuracy=0.499570 top_k_accuracy_5=0.736016 | |
| Epoch[34] Batch [400] Speed: 1305.28 samples/sec accuracy=0.494648 top_k_accuracy_5=0.729609 | |
| Epoch[34] Batch [500] Speed: 1304.95 samples/sec accuracy=0.499961 top_k_accuracy_5=0.734805 | |
| Epoch[34] Batch [600] Speed: 1301.93 samples/sec accuracy=0.502500 top_k_accuracy_5=0.739141 | |
| Epoch[34] Batch [700] Speed: 1301.26 samples/sec accuracy=0.498789 top_k_accuracy_5=0.730938 | |
| Epoch[34] Batch [800] Speed: 1303.53 samples/sec accuracy=0.496953 top_k_accuracy_5=0.731406 | |
| Epoch[34] Batch [900] Speed: 1311.97 samples/sec accuracy=0.496563 top_k_accuracy_5=0.730273 | |
| Epoch[34] Batch [1000] Speed: 1307.48 samples/sec accuracy=0.500430 top_k_accuracy_5=0.733945 | |
| Epoch[34] Batch [1100] Speed: 1300.66 samples/sec accuracy=0.502656 top_k_accuracy_5=0.736641 | |
| Epoch[34] Batch [1200] Speed: 1302.91 samples/sec accuracy=0.504453 top_k_accuracy_5=0.733750 | |
| Epoch[34] Batch [1300] Speed: 1315.99 samples/sec accuracy=0.500625 top_k_accuracy_5=0.729023 | |
| Epoch[34] Batch [1400] Speed: 1313.50 samples/sec accuracy=0.502617 top_k_accuracy_5=0.734609 | |
| Epoch[34] Batch [1500] Speed: 1307.11 samples/sec accuracy=0.495898 top_k_accuracy_5=0.730859 | |
| Epoch[34] Batch [1600] Speed: 1301.74 samples/sec accuracy=0.494727 top_k_accuracy_5=0.729688 | |
| Epoch[34] Batch [1700] Speed: 1298.65 samples/sec accuracy=0.501953 top_k_accuracy_5=0.740078 | |
| Epoch[34] Batch [1800] Speed: 1299.98 samples/sec accuracy=0.499023 top_k_accuracy_5=0.734727 | |
| Epoch[34] Batch [1900] Speed: 1297.91 samples/sec accuracy=0.503867 top_k_accuracy_5=0.737891 | |
| Epoch[34] Batch [2000] Speed: 1293.44 samples/sec accuracy=0.504844 top_k_accuracy_5=0.736680 | |
| Epoch[34] Batch [2100] Speed: 1301.27 samples/sec accuracy=0.503789 top_k_accuracy_5=0.734219 | |
| Epoch[34] Batch [2200] Speed: 1288.84 samples/sec accuracy=0.501406 top_k_accuracy_5=0.733281 | |
| Epoch[34] Batch [2300] Speed: 1301.03 samples/sec accuracy=0.500781 top_k_accuracy_5=0.733203 | |
| Epoch[34] Batch [2400] Speed: 1301.60 samples/sec accuracy=0.497266 top_k_accuracy_5=0.733555 | |
| Epoch[34] Batch [2500] Speed: 1299.49 samples/sec accuracy=0.501445 top_k_accuracy_5=0.736953 | |
| Epoch[34] Batch [2600] Speed: 1302.42 samples/sec accuracy=0.497109 top_k_accuracy_5=0.737695 | |
| Epoch[34] Batch [2700] Speed: 1299.49 samples/sec accuracy=0.504766 top_k_accuracy_5=0.732891 | |
| Epoch[34] Batch [2800] Speed: 1296.09 samples/sec accuracy=0.503555 top_k_accuracy_5=0.739062 | |
| Epoch[34] Batch [2900] Speed: 1301.43 samples/sec accuracy=0.506016 top_k_accuracy_5=0.737578 | |
| Epoch[34] Batch [3000] Speed: 1298.32 samples/sec accuracy=0.496445 top_k_accuracy_5=0.734609 | |
| Epoch[34] Batch [3100] Speed: 1300.24 samples/sec accuracy=0.499297 top_k_accuracy_5=0.735039 | |
| Epoch[34] Batch [3200] Speed: 1304.22 samples/sec accuracy=0.507383 top_k_accuracy_5=0.741367 | |
| Epoch[34] Batch [3300] Speed: 1299.28 samples/sec accuracy=0.499688 top_k_accuracy_5=0.733086 | |
| Epoch[34] Batch [3400] Speed: 1305.74 samples/sec accuracy=0.510391 top_k_accuracy_5=0.742461 | |
| Epoch[34] Batch [3500] Speed: 1310.02 samples/sec accuracy=0.508516 top_k_accuracy_5=0.740547 | |
| Epoch[34] Batch [3600] Speed: 1299.55 samples/sec accuracy=0.502383 top_k_accuracy_5=0.738242 | |
| Epoch[34] Batch [3700] Speed: 1292.40 samples/sec accuracy=0.503281 top_k_accuracy_5=0.738398 | |
| Epoch[34] Batch [3800] Speed: 1302.49 samples/sec accuracy=0.510547 top_k_accuracy_5=0.741016 | |
| Epoch[34] Batch [3900] Speed: 1293.57 samples/sec accuracy=0.502148 top_k_accuracy_5=0.735352 | |
| Epoch[34] Batch [4000] Speed: 1307.75 samples/sec accuracy=0.509687 top_k_accuracy_5=0.741719 | |
| Epoch[34] Batch [4100] Speed: 1301.48 samples/sec accuracy=0.503437 top_k_accuracy_5=0.735742 | |
| Epoch[34] Batch [4200] Speed: 1291.18 samples/sec accuracy=0.505508 top_k_accuracy_5=0.738398 | |
| Epoch[34] Batch [4300] Speed: 1304.91 samples/sec accuracy=0.505703 top_k_accuracy_5=0.736758 | |
| Epoch[34] Batch [4400] Speed: 1296.33 samples/sec accuracy=0.504648 top_k_accuracy_5=0.739531 | |
| Epoch[34] Batch [4500] Speed: 1298.22 samples/sec accuracy=0.509258 top_k_accuracy_5=0.742031 | |
| Epoch[34] Batch [4600] Speed: 1291.15 samples/sec accuracy=0.503750 top_k_accuracy_5=0.740156 | |
| Epoch[34] Batch [4700] Speed: 1300.65 samples/sec accuracy=0.508047 top_k_accuracy_5=0.739336 | |
| Epoch[34] Batch [4800] Speed: 1296.51 samples/sec accuracy=0.508047 top_k_accuracy_5=0.743750 | |
| Epoch[34] Batch [4900] Speed: 1305.15 samples/sec accuracy=0.511914 top_k_accuracy_5=0.741406 | |
| Epoch[34] Batch [5000] Speed: 1290.52 samples/sec accuracy=0.508359 top_k_accuracy_5=0.741563 | |
| Epoch[34] Train-accuracy=0.502930 | |
| Epoch[34] Train-top_k_accuracy_5=0.727539 | |
| Epoch[34] Time cost=984.980 | |
| Saved checkpoint to "model/resnet18-0035.params" | |
| Epoch[34] Validation-accuracy=0.520433 | |
| Epoch[34] Validation-top_k_accuracy_5=0.757392 | |
| Epoch[35] Batch [100] Speed: 1293.24 samples/sec accuracy=0.507619 top_k_accuracy_5=0.741027 | |
| Epoch[35] Batch [200] Speed: 1288.45 samples/sec accuracy=0.499844 top_k_accuracy_5=0.734922 | |
| Epoch[35] Batch [300] Speed: 1290.90 samples/sec accuracy=0.511641 top_k_accuracy_5=0.737852 | |
| Epoch[35] Batch [400] Speed: 1299.61 samples/sec accuracy=0.500508 top_k_accuracy_5=0.731797 | |
| Epoch[35] Batch [500] Speed: 1302.80 samples/sec accuracy=0.505352 top_k_accuracy_5=0.738594 | |
| Epoch[35] Batch [600] Speed: 1305.08 samples/sec accuracy=0.500664 top_k_accuracy_5=0.736758 | |
| Epoch[35] Batch [700] Speed: 1307.61 samples/sec accuracy=0.504648 top_k_accuracy_5=0.736445 | |
| Epoch[35] Batch [800] Speed: 1305.10 samples/sec accuracy=0.499375 top_k_accuracy_5=0.732930 | |
| Epoch[35] Batch [900] Speed: 1303.15 samples/sec accuracy=0.500156 top_k_accuracy_5=0.734922 | |
| Epoch[35] Batch [1000] Speed: 1313.43 samples/sec accuracy=0.498789 top_k_accuracy_5=0.739297 | |
| Epoch[35] Batch [1100] Speed: 1304.46 samples/sec accuracy=0.506445 top_k_accuracy_5=0.740273 | |
| Epoch[35] Batch [1200] Speed: 1295.83 samples/sec accuracy=0.502852 top_k_accuracy_5=0.735039 | |
| Epoch[35] Batch [1300] Speed: 1305.11 samples/sec accuracy=0.501953 top_k_accuracy_5=0.734180 | |
| Epoch[35] Batch [1400] Speed: 1307.90 samples/sec accuracy=0.503203 top_k_accuracy_5=0.737187 | |
| Epoch[35] Batch [1500] Speed: 1296.15 samples/sec accuracy=0.496094 top_k_accuracy_5=0.731797 | |
| Epoch[35] Batch [1600] Speed: 1309.65 samples/sec accuracy=0.500781 top_k_accuracy_5=0.738867 | |
| Epoch[35] Batch [1700] Speed: 1301.17 samples/sec accuracy=0.503711 top_k_accuracy_5=0.738437 | |
| Epoch[35] Batch [1800] Speed: 1297.19 samples/sec accuracy=0.508750 top_k_accuracy_5=0.737305 | |
| Epoch[35] Batch [1900] Speed: 1301.79 samples/sec accuracy=0.504727 top_k_accuracy_5=0.739023 | |
| Epoch[35] Batch [2000] Speed: 1292.91 samples/sec accuracy=0.507812 top_k_accuracy_5=0.738477 | |
| Epoch[35] Batch [2100] Speed: 1303.67 samples/sec accuracy=0.503125 top_k_accuracy_5=0.742578 | |
| Epoch[35] Batch [2200] Speed: 1299.45 samples/sec accuracy=0.505195 top_k_accuracy_5=0.736133 | |
| Epoch[35] Batch [2300] Speed: 1302.42 samples/sec accuracy=0.500117 top_k_accuracy_5=0.740508 | |
| Epoch[35] Batch [2400] Speed: 1290.55 samples/sec accuracy=0.506992 top_k_accuracy_5=0.740547 | |
| Epoch[35] Batch [2500] Speed: 1304.17 samples/sec accuracy=0.505898 top_k_accuracy_5=0.743320 | |
| Epoch[35] Batch [2600] Speed: 1297.55 samples/sec accuracy=0.502578 top_k_accuracy_5=0.739102 | |
| Epoch[35] Batch [2700] Speed: 1302.58 samples/sec accuracy=0.507266 top_k_accuracy_5=0.739727 | |
| Epoch[35] Batch [2800] Speed: 1293.63 samples/sec accuracy=0.509961 top_k_accuracy_5=0.738320 | |
| Epoch[35] Batch [2900] Speed: 1294.44 samples/sec accuracy=0.513125 top_k_accuracy_5=0.742109 | |
| Epoch[35] Batch [3000] Speed: 1284.73 samples/sec accuracy=0.497852 top_k_accuracy_5=0.732422 | |
| Epoch[35] Batch [3100] Speed: 1299.43 samples/sec accuracy=0.502617 top_k_accuracy_5=0.735625 | |
| Epoch[35] Batch [3200] Speed: 1294.23 samples/sec accuracy=0.510781 top_k_accuracy_5=0.743555 | |
| Epoch[35] Batch [3300] Speed: 1294.09 samples/sec accuracy=0.504844 top_k_accuracy_5=0.738711 | |
| Epoch[35] Batch [3400] Speed: 1300.09 samples/sec accuracy=0.507109 top_k_accuracy_5=0.742461 | |
| Epoch[35] Batch [3500] Speed: 1291.48 samples/sec accuracy=0.514023 top_k_accuracy_5=0.739375 | |
| Epoch[35] Batch [3600] Speed: 1290.08 samples/sec accuracy=0.509062 top_k_accuracy_5=0.742188 | |
| Epoch[35] Batch [3700] Speed: 1295.81 samples/sec accuracy=0.508008 top_k_accuracy_5=0.740234 | |
| Epoch[35] Batch [3800] Speed: 1298.84 samples/sec accuracy=0.508867 top_k_accuracy_5=0.741719 | |
| Epoch[35] Batch [3900] Speed: 1301.76 samples/sec accuracy=0.506406 top_k_accuracy_5=0.737578 | |
| Epoch[35] Batch [4000] Speed: 1299.49 samples/sec accuracy=0.510938 top_k_accuracy_5=0.745000 | |
| Epoch[35] Batch [4100] Speed: 1314.19 samples/sec accuracy=0.504570 top_k_accuracy_5=0.738555 | |
| Epoch[35] Batch [4200] Speed: 1289.77 samples/sec accuracy=0.507188 top_k_accuracy_5=0.740898 | |
| Epoch[35] Batch [4300] Speed: 1294.50 samples/sec accuracy=0.501953 top_k_accuracy_5=0.734297 | |
| Epoch[35] Batch [4400] Speed: 1295.21 samples/sec accuracy=0.510742 top_k_accuracy_5=0.739023 | |
| Epoch[35] Batch [4500] Speed: 1296.88 samples/sec accuracy=0.512500 top_k_accuracy_5=0.744180 | |
| Epoch[35] Batch [4600] Speed: 1300.29 samples/sec accuracy=0.504844 top_k_accuracy_5=0.740977 | |
| Epoch[35] Batch [4700] Speed: 1296.63 samples/sec accuracy=0.510508 top_k_accuracy_5=0.744570 | |
| Epoch[35] Batch [4800] Speed: 1290.54 samples/sec accuracy=0.511328 top_k_accuracy_5=0.741914 | |
| Epoch[35] Batch [4900] Speed: 1300.61 samples/sec accuracy=0.517852 top_k_accuracy_5=0.744727 | |
| Epoch[35] Batch [5000] Speed: 1291.74 samples/sec accuracy=0.507266 top_k_accuracy_5=0.741797 | |
| Epoch[35] Train-accuracy=0.519531 | |
| Epoch[35] Train-top_k_accuracy_5=0.740234 | |
| Epoch[35] Time cost=987.040 | |
| Saved checkpoint to "model/resnet18-0036.params" | |
| Epoch[35] Validation-accuracy=0.518953 | |
| Epoch[35] Validation-top_k_accuracy_5=0.756358 | |
| Epoch[36] Batch [100] Speed: 1287.45 samples/sec accuracy=0.509282 top_k_accuracy_5=0.742420 | |
| Epoch[36] Batch [200] Speed: 1298.90 samples/sec accuracy=0.503437 top_k_accuracy_5=0.740703 | |
| Epoch[36] Batch [300] Speed: 1299.70 samples/sec accuracy=0.506680 top_k_accuracy_5=0.738203 | |
| Epoch[36] Batch [400] Speed: 1297.58 samples/sec accuracy=0.503086 top_k_accuracy_5=0.736016 | |
| Epoch[36] Batch [500] Speed: 1300.37 samples/sec accuracy=0.504102 top_k_accuracy_5=0.744297 | |
| Epoch[36] Batch [600] Speed: 1310.65 samples/sec accuracy=0.507930 top_k_accuracy_5=0.742148 | |
| Epoch[36] Batch [700] Speed: 1309.31 samples/sec accuracy=0.503437 top_k_accuracy_5=0.739453 | |
| Epoch[36] Batch [800] Speed: 1306.88 samples/sec accuracy=0.500703 top_k_accuracy_5=0.734766 | |
| Epoch[36] Batch [900] Speed: 1313.67 samples/sec accuracy=0.504375 top_k_accuracy_5=0.739023 | |
| Epoch[36] Batch [1000] Speed: 1312.82 samples/sec accuracy=0.501445 top_k_accuracy_5=0.737187 | |
| Epoch[36] Batch [1100] Speed: 1313.17 samples/sec accuracy=0.510156 top_k_accuracy_5=0.742422 | |
| Epoch[36] Batch [1200] Speed: 1316.17 samples/sec accuracy=0.504766 top_k_accuracy_5=0.741250 | |
| Epoch[36] Batch [1300] Speed: 1316.15 samples/sec accuracy=0.502266 top_k_accuracy_5=0.738672 | |
| Epoch[36] Batch [1400] Speed: 1316.81 samples/sec accuracy=0.505664 top_k_accuracy_5=0.741445 | |
| Epoch[36] Batch [1500] Speed: 1312.18 samples/sec accuracy=0.501641 top_k_accuracy_5=0.733711 | |
| Epoch[36] Batch [1600] Speed: 1309.85 samples/sec accuracy=0.503320 top_k_accuracy_5=0.738242 | |
| Epoch[36] Batch [1700] Speed: 1308.88 samples/sec accuracy=0.507500 top_k_accuracy_5=0.741328 | |
| Epoch[36] Batch [1800] Speed: 1308.25 samples/sec accuracy=0.504453 top_k_accuracy_5=0.739336 | |
| Epoch[36] Batch [1900] Speed: 1311.50 samples/sec accuracy=0.507109 top_k_accuracy_5=0.738398 | |
| Epoch[36] Batch [2000] Speed: 1312.14 samples/sec accuracy=0.504609 top_k_accuracy_5=0.739375 | |
| Epoch[36] Batch [2100] Speed: 1311.15 samples/sec accuracy=0.507539 top_k_accuracy_5=0.740234 | |
| Epoch[36] Batch [2200] Speed: 1314.10 samples/sec accuracy=0.508242 top_k_accuracy_5=0.738633 | |
| Epoch[36] Batch [2300] Speed: 1305.76 samples/sec accuracy=0.504141 top_k_accuracy_5=0.737969 | |
| Epoch[36] Batch [2400] Speed: 1308.65 samples/sec accuracy=0.503164 top_k_accuracy_5=0.739531 | |
| Epoch[36] Batch [2500] Speed: 1315.52 samples/sec accuracy=0.506406 top_k_accuracy_5=0.741172 | |
| Epoch[36] Batch [2600] Speed: 1313.39 samples/sec accuracy=0.503203 top_k_accuracy_5=0.739219 | |
| Epoch[36] Batch [2700] Speed: 1306.67 samples/sec accuracy=0.507305 top_k_accuracy_5=0.736953 | |
| Epoch[36] Batch [2800] Speed: 1312.95 samples/sec accuracy=0.508281 top_k_accuracy_5=0.739883 | |
| Epoch[36] Batch [2900] Speed: 1306.81 samples/sec accuracy=0.510312 top_k_accuracy_5=0.742266 | |
| Epoch[36] Batch [3000] Speed: 1305.99 samples/sec accuracy=0.506523 top_k_accuracy_5=0.739414 | |
| Epoch[36] Batch [3100] Speed: 1305.97 samples/sec accuracy=0.510312 top_k_accuracy_5=0.739922 | |
| Epoch[36] Batch [3200] Speed: 1310.58 samples/sec accuracy=0.508867 top_k_accuracy_5=0.743281 | |
| Epoch[36] Batch [3300] Speed: 1306.02 samples/sec accuracy=0.508125 top_k_accuracy_5=0.740352 | |
| Epoch[36] Batch [3400] Speed: 1311.30 samples/sec accuracy=0.512109 top_k_accuracy_5=0.740039 | |
| Epoch[36] Batch [3500] Speed: 1307.69 samples/sec accuracy=0.509062 top_k_accuracy_5=0.742891 | |
| Epoch[36] Batch [3600] Speed: 1311.49 samples/sec accuracy=0.510938 top_k_accuracy_5=0.744258 | |
| Epoch[36] Batch [3700] Speed: 1309.85 samples/sec accuracy=0.508477 top_k_accuracy_5=0.743086 | |
| Epoch[36] Batch [3800] Speed: 1304.54 samples/sec accuracy=0.509609 top_k_accuracy_5=0.741055 | |
| Epoch[36] Batch [3900] Speed: 1310.20 samples/sec accuracy=0.507734 top_k_accuracy_5=0.741289 | |
| Epoch[36] Batch [4000] Speed: 1300.83 samples/sec accuracy=0.514492 top_k_accuracy_5=0.745703 | |
| Epoch[36] Batch [4100] Speed: 1305.46 samples/sec accuracy=0.500820 top_k_accuracy_5=0.739648 | |
| Epoch[36] Batch [4200] Speed: 1301.89 samples/sec accuracy=0.506992 top_k_accuracy_5=0.745898 | |
| Epoch[36] Batch [4300] Speed: 1301.45 samples/sec accuracy=0.505039 top_k_accuracy_5=0.741406 | |
| Epoch[36] Batch [4400] Speed: 1310.24 samples/sec accuracy=0.509414 top_k_accuracy_5=0.742969 | |
| Epoch[36] Batch [4500] Speed: 1300.12 samples/sec accuracy=0.513203 top_k_accuracy_5=0.745039 | |
| Epoch[36] Batch [4600] Speed: 1299.71 samples/sec accuracy=0.510664 top_k_accuracy_5=0.741602 | |
| Epoch[36] Batch [4700] Speed: 1300.39 samples/sec accuracy=0.511602 top_k_accuracy_5=0.744102 | |
| Epoch[36] Batch [4800] Speed: 1301.20 samples/sec accuracy=0.508242 top_k_accuracy_5=0.737383 | |
| Epoch[36] Batch [4900] Speed: 1302.36 samples/sec accuracy=0.518828 top_k_accuracy_5=0.745625 | |
| Epoch[36] Batch [5000] Speed: 1294.37 samples/sec accuracy=0.505547 top_k_accuracy_5=0.740664 | |
| Epoch[36] Train-accuracy=0.476562 | |
| Epoch[36] Train-top_k_accuracy_5=0.748698 | |
| Epoch[36] Time cost=980.340 | |
| Saved checkpoint to "model/resnet18-0037.params" | |
| Epoch[36] Validation-accuracy=0.521795 | |
| Epoch[36] Validation-top_k_accuracy_5=0.758093 | |
| Epoch[37] Batch [100] Speed: 1300.28 samples/sec accuracy=0.507232 top_k_accuracy_5=0.742381 | |
| Epoch[37] Batch [200] Speed: 1307.89 samples/sec accuracy=0.510156 top_k_accuracy_5=0.737500 | |
| Epoch[37] Batch [300] Speed: 1302.10 samples/sec accuracy=0.513594 top_k_accuracy_5=0.743711 | |
| Epoch[37] Batch [400] Speed: 1307.71 samples/sec accuracy=0.506719 top_k_accuracy_5=0.737266 | |
| Epoch[37] Batch [500] Speed: 1308.09 samples/sec accuracy=0.509961 top_k_accuracy_5=0.743633 | |
| Epoch[37] Batch [600] Speed: 1307.67 samples/sec accuracy=0.509297 top_k_accuracy_5=0.739062 | |
| Epoch[37] Batch [700] Speed: 1309.83 samples/sec accuracy=0.504805 top_k_accuracy_5=0.742383 | |
| Epoch[37] Batch [800] Speed: 1294.58 samples/sec accuracy=0.506211 top_k_accuracy_5=0.737383 | |
| Epoch[37] Batch [900] Speed: 1311.40 samples/sec accuracy=0.506367 top_k_accuracy_5=0.739727 | |
| Epoch[37] Batch [1000] Speed: 1301.84 samples/sec accuracy=0.506836 top_k_accuracy_5=0.735742 | |
| Epoch[37] Batch [1100] Speed: 1304.74 samples/sec accuracy=0.508594 top_k_accuracy_5=0.739609 | |
| Epoch[37] Batch [1200] Speed: 1309.13 samples/sec accuracy=0.510156 top_k_accuracy_5=0.743477 | |
| Epoch[37] Batch [1300] Speed: 1298.41 samples/sec accuracy=0.508828 top_k_accuracy_5=0.737969 | |
| Epoch[37] Batch [1400] Speed: 1300.17 samples/sec accuracy=0.507930 top_k_accuracy_5=0.740430 | |
| Epoch[37] Batch [1500] Speed: 1302.22 samples/sec accuracy=0.504375 top_k_accuracy_5=0.739062 | |
| Epoch[37] Batch [1600] Speed: 1299.52 samples/sec accuracy=0.507383 top_k_accuracy_5=0.739922 | |
| Epoch[37] Batch [1700] Speed: 1299.23 samples/sec accuracy=0.503828 top_k_accuracy_5=0.740273 | |
| Epoch[37] Batch [1800] Speed: 1297.03 samples/sec accuracy=0.507383 top_k_accuracy_5=0.743516 | |
| Epoch[37] Batch [1900] Speed: 1304.79 samples/sec accuracy=0.504219 top_k_accuracy_5=0.738633 | |
| Epoch[37] Batch [2000] Speed: 1301.53 samples/sec accuracy=0.510781 top_k_accuracy_5=0.741953 | |
| Epoch[37] Batch [2100] Speed: 1306.43 samples/sec accuracy=0.502344 top_k_accuracy_5=0.738437 | |
| Epoch[37] Batch [2200] Speed: 1304.53 samples/sec accuracy=0.508203 top_k_accuracy_5=0.738125 | |
| Epoch[37] Batch [2300] Speed: 1305.32 samples/sec accuracy=0.505156 top_k_accuracy_5=0.737969 | |
| Epoch[37] Batch [2400] Speed: 1300.49 samples/sec accuracy=0.503516 top_k_accuracy_5=0.736016 | |
| Epoch[37] Batch [2500] Speed: 1298.16 samples/sec accuracy=0.505781 top_k_accuracy_5=0.740586 | |
| Epoch[37] Batch [2600] Speed: 1304.51 samples/sec accuracy=0.508828 top_k_accuracy_5=0.744297 | |
| Epoch[37] Batch [2700] Speed: 1296.78 samples/sec accuracy=0.503633 top_k_accuracy_5=0.741602 | |
| Epoch[37] Batch [2800] Speed: 1310.04 samples/sec accuracy=0.509297 top_k_accuracy_5=0.741914 | |
| Epoch[37] Batch [2900] Speed: 1302.12 samples/sec accuracy=0.509141 top_k_accuracy_5=0.742461 | |
| Epoch[37] Batch [3000] Speed: 1298.86 samples/sec accuracy=0.500586 top_k_accuracy_5=0.737227 | |
| Epoch[37] Batch [3100] Speed: 1308.01 samples/sec accuracy=0.509258 top_k_accuracy_5=0.744727 | |
| Epoch[37] Batch [3200] Speed: 1310.54 samples/sec accuracy=0.515859 top_k_accuracy_5=0.749336 | |
| Epoch[37] Batch [3300] Speed: 1302.26 samples/sec accuracy=0.507578 top_k_accuracy_5=0.740195 | |
| Epoch[37] Batch [3400] Speed: 1318.75 samples/sec accuracy=0.509102 top_k_accuracy_5=0.741484 | |
| Epoch[37] Batch [3500] Speed: 1316.65 samples/sec accuracy=0.507930 top_k_accuracy_5=0.742578 | |
| Epoch[37] Batch [3600] Speed: 1310.08 samples/sec accuracy=0.508555 top_k_accuracy_5=0.742188 | |
| Epoch[37] Batch [3700] Speed: 1294.39 samples/sec accuracy=0.511328 top_k_accuracy_5=0.743398 | |
| Epoch[37] Batch [3800] Speed: 1317.40 samples/sec accuracy=0.510039 top_k_accuracy_5=0.742812 | |
| Epoch[37] Batch [3900] Speed: 1317.35 samples/sec accuracy=0.506797 top_k_accuracy_5=0.740781 | |
| Epoch[37] Batch [4000] Speed: 1318.24 samples/sec accuracy=0.514219 top_k_accuracy_5=0.746602 | |
| Epoch[37] Batch [4100] Speed: 1312.48 samples/sec accuracy=0.507344 top_k_accuracy_5=0.742969 | |
| Epoch[37] Batch [4200] Speed: 1312.88 samples/sec accuracy=0.507422 top_k_accuracy_5=0.741367 | |
| Epoch[37] Batch [4300] Speed: 1304.11 samples/sec accuracy=0.505234 top_k_accuracy_5=0.739062 | |
| Epoch[37] Batch [4400] Speed: 1303.73 samples/sec accuracy=0.509570 top_k_accuracy_5=0.742461 | |
| Epoch[37] Batch [4500] Speed: 1308.65 samples/sec accuracy=0.508789 top_k_accuracy_5=0.742109 | |
| Epoch[37] Batch [4600] Speed: 1308.69 samples/sec accuracy=0.510430 top_k_accuracy_5=0.741641 | |
| Epoch[37] Batch [4700] Speed: 1310.62 samples/sec accuracy=0.512813 top_k_accuracy_5=0.744531 | |
| Epoch[37] Batch [4800] Speed: 1305.46 samples/sec accuracy=0.511172 top_k_accuracy_5=0.743828 | |
| Epoch[37] Batch [4900] Speed: 1302.20 samples/sec accuracy=0.514062 top_k_accuracy_5=0.748828 | |
| Epoch[37] Batch [5000] Speed: 1304.49 samples/sec accuracy=0.506484 top_k_accuracy_5=0.741953 | |
| Epoch[37] Train-accuracy=0.499023 | |
| Epoch[37] Train-top_k_accuracy_5=0.720703 | |
| Epoch[37] Time cost=981.800 | |
| Saved checkpoint to "model/resnet18-0038.params" | |
| Epoch[37] Validation-accuracy=0.521895 | |
| Epoch[37] Validation-top_k_accuracy_5=0.760617 | |
| Epoch[38] Batch [100] Speed: 1304.90 samples/sec accuracy=0.507658 top_k_accuracy_5=0.740640 | |
| Epoch[38] Batch [200] Speed: 1320.22 samples/sec accuracy=0.506445 top_k_accuracy_5=0.739727 | |
| Epoch[38] Batch [300] Speed: 1310.94 samples/sec accuracy=0.503555 top_k_accuracy_5=0.739805 | |
| Epoch[38] Batch [400] Speed: 1301.41 samples/sec accuracy=0.506875 top_k_accuracy_5=0.743633 | |
| Epoch[38] Batch [500] Speed: 1312.30 samples/sec accuracy=0.513945 top_k_accuracy_5=0.745273 | |
| Epoch[38] Batch [600] Speed: 1320.69 samples/sec accuracy=0.511250 top_k_accuracy_5=0.739531 | |
| Epoch[38] Batch [700] Speed: 1306.53 samples/sec accuracy=0.505859 top_k_accuracy_5=0.734258 | |
| Epoch[38] Batch [800] Speed: 1317.89 samples/sec accuracy=0.505352 top_k_accuracy_5=0.739844 | |
| Epoch[38] Batch [900] Speed: 1308.51 samples/sec accuracy=0.507969 top_k_accuracy_5=0.740078 | |
| Epoch[38] Batch [1000] Speed: 1321.91 samples/sec accuracy=0.511680 top_k_accuracy_5=0.745234 | |
| Epoch[38] Batch [1100] Speed: 1306.93 samples/sec accuracy=0.505430 top_k_accuracy_5=0.739336 | |
| Epoch[38] Batch [1200] Speed: 1311.05 samples/sec accuracy=0.506953 top_k_accuracy_5=0.737695 | |
| Epoch[38] Batch [1300] Speed: 1303.73 samples/sec accuracy=0.505234 top_k_accuracy_5=0.742383 | |
| Epoch[38] Batch [1400] Speed: 1304.65 samples/sec accuracy=0.510273 top_k_accuracy_5=0.742695 | |
| Epoch[38] Batch [1500] Speed: 1310.41 samples/sec accuracy=0.508945 top_k_accuracy_5=0.741563 | |
| Epoch[38] Batch [1600] Speed: 1302.49 samples/sec accuracy=0.504062 top_k_accuracy_5=0.736992 | |
| Epoch[38] Batch [1700] Speed: 1308.93 samples/sec accuracy=0.511094 top_k_accuracy_5=0.747734 | |
| Epoch[38] Batch [1800] Speed: 1302.73 samples/sec accuracy=0.510117 top_k_accuracy_5=0.743594 | |
| Epoch[38] Batch [1900] Speed: 1308.60 samples/sec accuracy=0.510508 top_k_accuracy_5=0.741133 | |
| Epoch[38] Batch [2000] Speed: 1316.68 samples/sec accuracy=0.509922 top_k_accuracy_5=0.739414 | |
| Epoch[38] Batch [2100] Speed: 1313.41 samples/sec accuracy=0.508047 top_k_accuracy_5=0.739688 | |
| Epoch[38] Batch [2200] Speed: 1309.55 samples/sec accuracy=0.510664 top_k_accuracy_5=0.738594 | |
| Epoch[38] Batch [2300] Speed: 1310.31 samples/sec accuracy=0.505430 top_k_accuracy_5=0.737422 | |
| Epoch[38] Batch [2400] Speed: 1301.06 samples/sec accuracy=0.511172 top_k_accuracy_5=0.741094 | |
| Epoch[38] Batch [2500] Speed: 1309.01 samples/sec accuracy=0.508867 top_k_accuracy_5=0.739648 | |
| Epoch[38] Batch [2600] Speed: 1300.11 samples/sec accuracy=0.504375 top_k_accuracy_5=0.736523 | |
| Epoch[38] Batch [2700] Speed: 1306.51 samples/sec accuracy=0.511914 top_k_accuracy_5=0.741445 | |
| Epoch[38] Batch [2800] Speed: 1300.47 samples/sec accuracy=0.507500 top_k_accuracy_5=0.745313 | |
| Epoch[38] Batch [2900] Speed: 1308.73 samples/sec accuracy=0.512930 top_k_accuracy_5=0.741758 | |
| Epoch[38] Batch [3000] Speed: 1318.27 samples/sec accuracy=0.504180 top_k_accuracy_5=0.736094 | |
| Epoch[38] Batch [3100] Speed: 1302.52 samples/sec accuracy=0.506406 top_k_accuracy_5=0.740586 | |
| Epoch[38] Batch [3200] Speed: 1311.65 samples/sec accuracy=0.510195 top_k_accuracy_5=0.745391 | |
| Epoch[38] Batch [3300] Speed: 1317.25 samples/sec accuracy=0.506328 top_k_accuracy_5=0.741719 | |
| Epoch[38] Batch [3400] Speed: 1311.54 samples/sec accuracy=0.504961 top_k_accuracy_5=0.742852 | |
| Epoch[38] Batch [3500] Speed: 1301.74 samples/sec accuracy=0.515820 top_k_accuracy_5=0.745078 | |
| Epoch[38] Batch [3600] Speed: 1308.66 samples/sec accuracy=0.509609 top_k_accuracy_5=0.739414 | |
| Epoch[38] Batch [3700] Speed: 1307.12 samples/sec accuracy=0.514648 top_k_accuracy_5=0.743672 | |
| Epoch[38] Batch [3800] Speed: 1311.42 samples/sec accuracy=0.508359 top_k_accuracy_5=0.740547 | |
| Epoch[38] Batch [3900] Speed: 1315.08 samples/sec accuracy=0.510703 top_k_accuracy_5=0.740313 | |
| Epoch[38] Batch [4000] Speed: 1312.92 samples/sec accuracy=0.514336 top_k_accuracy_5=0.747578 | |
| Epoch[38] Batch [4100] Speed: 1316.44 samples/sec accuracy=0.508594 top_k_accuracy_5=0.743164 | |
| Epoch[38] Batch [4200] Speed: 1305.37 samples/sec accuracy=0.512031 top_k_accuracy_5=0.743516 | |
| Epoch[38] Batch [4300] Speed: 1312.70 samples/sec accuracy=0.508477 top_k_accuracy_5=0.740664 | |
| Epoch[38] Batch [4400] Speed: 1305.76 samples/sec accuracy=0.511641 top_k_accuracy_5=0.744180 | |
| Epoch[38] Batch [4500] Speed: 1310.73 samples/sec accuracy=0.515117 top_k_accuracy_5=0.746523 | |
| Epoch[38] Batch [4600] Speed: 1301.15 samples/sec accuracy=0.509180 top_k_accuracy_5=0.742500 | |
| Epoch[38] Batch [4700] Speed: 1311.59 samples/sec accuracy=0.513633 top_k_accuracy_5=0.744414 | |
| Epoch[38] Batch [4800] Speed: 1306.23 samples/sec accuracy=0.508437 top_k_accuracy_5=0.743555 | |
| Epoch[38] Batch [4900] Speed: 1313.55 samples/sec accuracy=0.517930 top_k_accuracy_5=0.748203 | |
| Epoch[38] Batch [5000] Speed: 1300.83 samples/sec accuracy=0.507227 top_k_accuracy_5=0.743086 | |
| Epoch[38] Train-accuracy=0.496094 | |
| Epoch[38] Train-top_k_accuracy_5=0.730469 | |
| Epoch[38] Time cost=978.794 | |
| Saved checkpoint to "model/resnet18-0039.params" | |
| Epoch[38] Validation-accuracy=0.522301 | |
| Epoch[38] Validation-top_k_accuracy_5=0.758470 | |
| Epoch[39] Batch [100] Speed: 1311.98 samples/sec accuracy=0.508122 top_k_accuracy_5=0.739558 | |
| Epoch[39] Batch [200] Speed: 1304.55 samples/sec accuracy=0.509531 top_k_accuracy_5=0.741563 | |
| Epoch[39] Batch [300] Speed: 1303.14 samples/sec accuracy=0.506602 top_k_accuracy_5=0.745313 | |
| Epoch[39] Batch [400] Speed: 1309.08 samples/sec accuracy=0.508320 top_k_accuracy_5=0.742812 | |
| Epoch[39] Batch [500] Speed: 1304.30 samples/sec accuracy=0.512656 top_k_accuracy_5=0.743242 | |
| Epoch[39] Batch [600] Speed: 1303.86 samples/sec accuracy=0.510273 top_k_accuracy_5=0.739766 | |
| Epoch[39] Batch [700] Speed: 1304.72 samples/sec accuracy=0.509648 top_k_accuracy_5=0.741523 | |
| Epoch[39] Batch [800] Speed: 1305.35 samples/sec accuracy=0.503477 top_k_accuracy_5=0.738281 | |
| Epoch[39] Batch [900] Speed: 1305.60 samples/sec accuracy=0.510547 top_k_accuracy_5=0.741758 | |
| Epoch[39] Batch [1000] Speed: 1306.23 samples/sec accuracy=0.510078 top_k_accuracy_5=0.744258 | |
| Epoch[39] Batch [1100] Speed: 1300.80 samples/sec accuracy=0.512305 top_k_accuracy_5=0.742500 | |
| Epoch[39] Batch [1200] Speed: 1299.71 samples/sec accuracy=0.508594 top_k_accuracy_5=0.738828 | |
| Epoch[39] Batch [1300] Speed: 1303.30 samples/sec accuracy=0.507344 top_k_accuracy_5=0.739805 | |
| Epoch[39] Batch [1400] Speed: 1307.16 samples/sec accuracy=0.507812 top_k_accuracy_5=0.742227 | |
| Epoch[39] Batch [1500] Speed: 1297.35 samples/sec accuracy=0.511094 top_k_accuracy_5=0.739883 | |
| Epoch[39] Batch [1600] Speed: 1304.90 samples/sec accuracy=0.506563 top_k_accuracy_5=0.740352 | |
| Epoch[39] Batch [1700] Speed: 1304.96 samples/sec accuracy=0.508984 top_k_accuracy_5=0.746953 | |
| Epoch[39] Batch [1800] Speed: 1296.84 samples/sec accuracy=0.511250 top_k_accuracy_5=0.743164 | |
| Epoch[39] Batch [1900] Speed: 1303.03 samples/sec accuracy=0.506289 top_k_accuracy_5=0.740664 | |
| Epoch[39] Batch [2000] Speed: 1300.15 samples/sec accuracy=0.510156 top_k_accuracy_5=0.740703 | |
| Epoch[39] Batch [2100] Speed: 1302.98 samples/sec accuracy=0.505703 top_k_accuracy_5=0.741367 | |
| Epoch[39] Batch [2200] Speed: 1306.25 samples/sec accuracy=0.511250 top_k_accuracy_5=0.739258 | |
| Epoch[39] Batch [2300] Speed: 1299.21 samples/sec accuracy=0.506914 top_k_accuracy_5=0.742344 | |
| Epoch[39] Batch [2400] Speed: 1307.18 samples/sec accuracy=0.509102 top_k_accuracy_5=0.737773 | |
| Epoch[39] Batch [2500] Speed: 1297.48 samples/sec accuracy=0.508008 top_k_accuracy_5=0.743164 | |
| Epoch[39] Batch [2600] Speed: 1307.41 samples/sec accuracy=0.507383 top_k_accuracy_5=0.745391 | |
| Epoch[39] Batch [2700] Speed: 1303.72 samples/sec accuracy=0.507852 top_k_accuracy_5=0.738516 | |
| Epoch[39] Batch [2800] Speed: 1296.94 samples/sec accuracy=0.506172 top_k_accuracy_5=0.742383 | |
| Epoch[39] Batch [2900] Speed: 1296.43 samples/sec accuracy=0.511836 top_k_accuracy_5=0.745391 | |
| Epoch[39] Batch [3000] Speed: 1296.40 samples/sec accuracy=0.503477 top_k_accuracy_5=0.740234 | |
| Epoch[39] Batch [3100] Speed: 1294.91 samples/sec accuracy=0.508086 top_k_accuracy_5=0.738398 | |
| Epoch[39] Batch [3200] Speed: 1300.47 samples/sec accuracy=0.514023 top_k_accuracy_5=0.746953 | |
| Epoch[39] Batch [3300] Speed: 1302.35 samples/sec accuracy=0.509492 top_k_accuracy_5=0.742773 | |
| Epoch[39] Batch [3400] Speed: 1296.46 samples/sec accuracy=0.507461 top_k_accuracy_5=0.741953 | |
| Epoch[39] Batch [3500] Speed: 1299.52 samples/sec accuracy=0.514727 top_k_accuracy_5=0.742383 | |
| Epoch[39] Batch [3600] Speed: 1296.00 samples/sec accuracy=0.505391 top_k_accuracy_5=0.742969 | |
| Epoch[39] Batch [3700] Speed: 1305.68 samples/sec accuracy=0.506719 top_k_accuracy_5=0.742305 | |
| Epoch[39] Batch [3800] Speed: 1303.14 samples/sec accuracy=0.511328 top_k_accuracy_5=0.742773 | |
| Epoch[39] Batch [3900] Speed: 1300.59 samples/sec accuracy=0.509023 top_k_accuracy_5=0.740352 | |
| Epoch[39] Batch [4000] Speed: 1305.98 samples/sec accuracy=0.514922 top_k_accuracy_5=0.746211 | |
| Epoch[39] Batch [4100] Speed: 1301.11 samples/sec accuracy=0.509570 top_k_accuracy_5=0.741484 | |
| Epoch[39] Batch [4200] Speed: 1302.40 samples/sec accuracy=0.508750 top_k_accuracy_5=0.741211 | |
| Epoch[39] Batch [4300] Speed: 1293.50 samples/sec accuracy=0.510586 top_k_accuracy_5=0.740781 | |
| Epoch[39] Batch [4400] Speed: 1304.70 samples/sec accuracy=0.512617 top_k_accuracy_5=0.746289 | |
| Epoch[39] Batch [4500] Speed: 1295.62 samples/sec accuracy=0.513125 top_k_accuracy_5=0.743711 | |
| Epoch[39] Batch [4600] Speed: 1298.20 samples/sec accuracy=0.508242 top_k_accuracy_5=0.742539 | |
| Epoch[39] Batch [4700] Speed: 1300.04 samples/sec accuracy=0.508281 top_k_accuracy_5=0.742188 | |
| Epoch[39] Batch [4800] Speed: 1298.27 samples/sec accuracy=0.512578 top_k_accuracy_5=0.744141 | |
| Epoch[39] Batch [4900] Speed: 1300.94 samples/sec accuracy=0.518125 top_k_accuracy_5=0.753359 | |
| Epoch[39] Batch [5000] Speed: 1297.23 samples/sec accuracy=0.512656 top_k_accuracy_5=0.745664 | |
| Epoch[39] Train-accuracy=0.499023 | |
| Epoch[39] Train-top_k_accuracy_5=0.738281 | |
| Epoch[39] Time cost=984.618 | |
| Saved checkpoint to "model/resnet18-0040.params" | |
| Epoch[39] Validation-accuracy=0.523878 | |
| Epoch[39] Validation-top_k_accuracy_5=0.759575 | |
| Epoch[40] Batch [100] Speed: 1289.86 samples/sec accuracy=0.511951 top_k_accuracy_5=0.743464 | |
| Epoch[40] Batch [200] Speed: 1313.23 samples/sec accuracy=0.509648 top_k_accuracy_5=0.743867 | |
| Epoch[40] Batch [300] Speed: 1304.74 samples/sec accuracy=0.509727 top_k_accuracy_5=0.742227 | |
| Epoch[40] Batch [400] Speed: 1305.03 samples/sec accuracy=0.506758 top_k_accuracy_5=0.739492 | |
| Epoch[40] Batch [500] Speed: 1284.65 samples/sec accuracy=0.508789 top_k_accuracy_5=0.743008 | |
| Epoch[40] Batch [600] Speed: 1300.49 samples/sec accuracy=0.510703 top_k_accuracy_5=0.743125 | |
| Epoch[40] Batch [700] Speed: 1298.46 samples/sec accuracy=0.508359 top_k_accuracy_5=0.741211 | |
| Epoch[40] Batch [800] Speed: 1307.69 samples/sec accuracy=0.505039 top_k_accuracy_5=0.738359 | |
| Epoch[40] Batch [900] Speed: 1302.83 samples/sec accuracy=0.509570 top_k_accuracy_5=0.742461 | |
| Epoch[40] Batch [1000] Speed: 1299.96 samples/sec accuracy=0.510664 top_k_accuracy_5=0.743437 | |
| Epoch[40] Batch [1100] Speed: 1310.07 samples/sec accuracy=0.507070 top_k_accuracy_5=0.745977 | |
| Epoch[40] Batch [1200] Speed: 1306.31 samples/sec accuracy=0.510039 top_k_accuracy_5=0.738672 | |
| Epoch[40] Batch [1300] Speed: 1304.85 samples/sec accuracy=0.507852 top_k_accuracy_5=0.738359 | |
| Epoch[40] Batch [1400] Speed: 1304.65 samples/sec accuracy=0.511875 top_k_accuracy_5=0.747891 | |
| Epoch[40] Batch [1500] Speed: 1306.18 samples/sec accuracy=0.508242 top_k_accuracy_5=0.737969 | |
| Epoch[40] Batch [1600] Speed: 1297.77 samples/sec accuracy=0.501680 top_k_accuracy_5=0.737969 | |
| Epoch[40] Batch [1700] Speed: 1298.53 samples/sec accuracy=0.508867 top_k_accuracy_5=0.743242 | |
| Epoch[40] Batch [1800] Speed: 1303.18 samples/sec accuracy=0.509336 top_k_accuracy_5=0.742109 | |
| Epoch[40] Batch [1900] Speed: 1301.61 samples/sec accuracy=0.511523 top_k_accuracy_5=0.743047 | |
| Epoch[40] Batch [2000] Speed: 1297.17 samples/sec accuracy=0.516719 top_k_accuracy_5=0.749570 | |
| Epoch[40] Batch [2100] Speed: 1296.03 samples/sec accuracy=0.511055 top_k_accuracy_5=0.745508 | |
| Epoch[40] Batch [2200] Speed: 1303.57 samples/sec accuracy=0.508359 top_k_accuracy_5=0.738984 | |
| Epoch[40] Batch [2300] Speed: 1307.84 samples/sec accuracy=0.503672 top_k_accuracy_5=0.739453 | |
| Epoch[40] Batch [2400] Speed: 1304.61 samples/sec accuracy=0.510000 top_k_accuracy_5=0.741758 | |
| Epoch[40] Batch [2500] Speed: 1310.47 samples/sec accuracy=0.510469 top_k_accuracy_5=0.744844 | |
| Epoch[40] Batch [2600] Speed: 1307.42 samples/sec accuracy=0.505859 top_k_accuracy_5=0.744531 | |
| Epoch[40] Batch [2700] Speed: 1296.14 samples/sec accuracy=0.511875 top_k_accuracy_5=0.743164 | |
| Epoch[40] Batch [2800] Speed: 1298.54 samples/sec accuracy=0.513086 top_k_accuracy_5=0.745664 | |
| Epoch[40] Batch [2900] Speed: 1298.75 samples/sec accuracy=0.511172 top_k_accuracy_5=0.740039 | |
| Epoch[40] Batch [3000] Speed: 1297.61 samples/sec accuracy=0.504414 top_k_accuracy_5=0.740781 | |
| Epoch[40] Batch [3100] Speed: 1308.24 samples/sec accuracy=0.506836 top_k_accuracy_5=0.737422 | |
| Epoch[40] Batch [3200] Speed: 1309.07 samples/sec accuracy=0.518086 top_k_accuracy_5=0.750078 | |
| Epoch[40] Batch [3300] Speed: 1297.54 samples/sec accuracy=0.506719 top_k_accuracy_5=0.742266 | |
| Epoch[40] Batch [3400] Speed: 1305.34 samples/sec accuracy=0.511992 top_k_accuracy_5=0.744219 | |
| Epoch[40] Batch [3500] Speed: 1310.02 samples/sec accuracy=0.516289 top_k_accuracy_5=0.741836 | |
| Epoch[40] Batch [3600] Speed: 1308.20 samples/sec accuracy=0.509414 top_k_accuracy_5=0.746250 | |
| Epoch[40] Batch [3700] Speed: 1309.18 samples/sec accuracy=0.508789 top_k_accuracy_5=0.738984 | |
| Epoch[40] Batch [3800] Speed: 1310.18 samples/sec accuracy=0.514297 top_k_accuracy_5=0.746172 | |
| Epoch[40] Batch [3900] Speed: 1306.08 samples/sec accuracy=0.510273 top_k_accuracy_5=0.739102 | |
| Epoch[40] Batch [4000] Speed: 1303.01 samples/sec accuracy=0.515391 top_k_accuracy_5=0.746602 | |
| Epoch[40] Batch [4100] Speed: 1308.06 samples/sec accuracy=0.507617 top_k_accuracy_5=0.741484 | |
| Epoch[40] Batch [4200] Speed: 1312.86 samples/sec accuracy=0.514570 top_k_accuracy_5=0.748516 | |
| Epoch[40] Batch [4300] Speed: 1304.74 samples/sec accuracy=0.510469 top_k_accuracy_5=0.740977 | |
| Epoch[40] Batch [4400] Speed: 1294.84 samples/sec accuracy=0.514375 top_k_accuracy_5=0.746211 | |
| Epoch[40] Batch [4500] Speed: 1307.39 samples/sec accuracy=0.510039 top_k_accuracy_5=0.744883 | |
| Epoch[40] Batch [4600] Speed: 1306.24 samples/sec accuracy=0.507578 top_k_accuracy_5=0.743828 | |
| Epoch[40] Batch [4700] Speed: 1297.71 samples/sec accuracy=0.512109 top_k_accuracy_5=0.745195 | |
| Epoch[40] Batch [4800] Speed: 1300.19 samples/sec accuracy=0.510195 top_k_accuracy_5=0.743242 | |
| Epoch[40] Batch [4900] Speed: 1308.63 samples/sec accuracy=0.516055 top_k_accuracy_5=0.746758 | |
| Epoch[40] Batch [5000] Speed: 1297.86 samples/sec accuracy=0.509336 top_k_accuracy_5=0.742305 | |
| Epoch[40] Train-accuracy=0.515625 | |
| Epoch[40] Train-top_k_accuracy_5=0.743490 | |
| Epoch[40] Time cost=983.287 | |
| Saved checkpoint to "model/resnet18-0041.params" | |
| Epoch[40] Validation-accuracy=0.514042 | |
| Epoch[40] Validation-top_k_accuracy_5=0.751282 | |
| Epoch[41] Batch [100] Speed: 1309.94 samples/sec accuracy=0.510752 top_k_accuracy_5=0.745862 | |
| Epoch[41] Batch [200] Speed: 1306.22 samples/sec accuracy=0.508516 top_k_accuracy_5=0.741328 | |
| Epoch[41] Batch [300] Speed: 1298.96 samples/sec accuracy=0.508086 top_k_accuracy_5=0.740664 | |
| Epoch[41] Batch [400] Speed: 1309.11 samples/sec accuracy=0.508828 top_k_accuracy_5=0.743125 | |
| Epoch[41] Batch [500] Speed: 1315.77 samples/sec accuracy=0.516094 top_k_accuracy_5=0.748320 | |
| Epoch[41] Batch [600] Speed: 1314.36 samples/sec accuracy=0.511094 top_k_accuracy_5=0.743008 | |
| Epoch[41] Batch [700] Speed: 1317.77 samples/sec accuracy=0.504023 top_k_accuracy_5=0.740039 | |
| Epoch[41] Batch [800] Speed: 1310.59 samples/sec accuracy=0.504570 top_k_accuracy_5=0.738125 | |
| Epoch[41] Batch [900] Speed: 1306.75 samples/sec accuracy=0.506641 top_k_accuracy_5=0.740625 | |
| Epoch[41] Batch [1000] Speed: 1307.22 samples/sec accuracy=0.509570 top_k_accuracy_5=0.744180 | |
| Epoch[41] Batch [1100] Speed: 1310.40 samples/sec accuracy=0.510625 top_k_accuracy_5=0.744453 | |
| Epoch[41] Batch [1200] Speed: 1316.23 samples/sec accuracy=0.515820 top_k_accuracy_5=0.746484 | |
| Epoch[41] Batch [1300] Speed: 1310.12 samples/sec accuracy=0.508750 top_k_accuracy_5=0.740313 | |
| Epoch[41] Batch [1400] Speed: 1309.29 samples/sec accuracy=0.512109 top_k_accuracy_5=0.745664 | |
| Epoch[41] Batch [1500] Speed: 1314.81 samples/sec accuracy=0.507148 top_k_accuracy_5=0.739492 | |
| Epoch[41] Batch [1600] Speed: 1308.22 samples/sec accuracy=0.502695 top_k_accuracy_5=0.742969 | |
| Epoch[41] Batch [1700] Speed: 1309.73 samples/sec accuracy=0.515195 top_k_accuracy_5=0.746406 | |
| Epoch[41] Batch [1800] Speed: 1315.91 samples/sec accuracy=0.509648 top_k_accuracy_5=0.742695 | |
| Epoch[41] Batch [1900] Speed: 1310.58 samples/sec accuracy=0.511953 top_k_accuracy_5=0.744336 | |
| Epoch[41] Batch [2000] Speed: 1307.53 samples/sec accuracy=0.510391 top_k_accuracy_5=0.744570 | |
| Epoch[41] Batch [2100] Speed: 1305.96 samples/sec accuracy=0.507266 top_k_accuracy_5=0.744297 | |
| Epoch[41] Batch [2200] Speed: 1311.89 samples/sec accuracy=0.509336 top_k_accuracy_5=0.744492 | |
| Epoch[41] Batch [2300] Speed: 1308.55 samples/sec accuracy=0.507383 top_k_accuracy_5=0.742656 | |
| Epoch[41] Batch [2400] Speed: 1307.53 samples/sec accuracy=0.509687 top_k_accuracy_5=0.739883 | |
| Epoch[41] Batch [2500] Speed: 1311.59 samples/sec accuracy=0.507266 top_k_accuracy_5=0.741719 | |
| Epoch[41] Batch [2600] Speed: 1308.02 samples/sec accuracy=0.507617 top_k_accuracy_5=0.740352 | |
| Epoch[41] Batch [2700] Speed: 1315.63 samples/sec accuracy=0.511172 top_k_accuracy_5=0.745469 | |
| Epoch[41] Batch [2800] Speed: 1305.99 samples/sec accuracy=0.515117 top_k_accuracy_5=0.747852 | |
| Epoch[41] Batch [2900] Speed: 1313.09 samples/sec accuracy=0.515586 top_k_accuracy_5=0.745000 | |
| Epoch[41] Batch [3000] Speed: 1312.70 samples/sec accuracy=0.505508 top_k_accuracy_5=0.741797 | |
| Epoch[41] Batch [3100] Speed: 1308.44 samples/sec accuracy=0.507188 top_k_accuracy_5=0.739062 | |
| Epoch[41] Batch [3200] Speed: 1304.53 samples/sec accuracy=0.514414 top_k_accuracy_5=0.748437 | |
| Epoch[41] Batch [3300] Speed: 1306.00 samples/sec accuracy=0.513203 top_k_accuracy_5=0.744219 | |
| Epoch[41] Batch [3400] Speed: 1308.81 samples/sec accuracy=0.508516 top_k_accuracy_5=0.743711 | |
| Epoch[41] Batch [3500] Speed: 1318.64 samples/sec accuracy=0.514883 top_k_accuracy_5=0.742578 | |
| Epoch[41] Batch [3600] Speed: 1306.41 samples/sec accuracy=0.510703 top_k_accuracy_5=0.741758 | |
| Epoch[41] Batch [3700] Speed: 1313.10 samples/sec accuracy=0.512227 top_k_accuracy_5=0.744531 | |
| Epoch[41] Batch [3800] Speed: 1306.83 samples/sec accuracy=0.514297 top_k_accuracy_5=0.744609 | |
| Epoch[41] Batch [3900] Speed: 1308.96 samples/sec accuracy=0.506211 top_k_accuracy_5=0.738437 | |
| Epoch[41] Batch [4000] Speed: 1308.93 samples/sec accuracy=0.518711 top_k_accuracy_5=0.747578 | |
| Epoch[41] Batch [4100] Speed: 1307.05 samples/sec accuracy=0.507266 top_k_accuracy_5=0.742070 | |
| Epoch[41] Batch [4200] Speed: 1316.64 samples/sec accuracy=0.509297 top_k_accuracy_5=0.742500 | |
| Epoch[41] Batch [4300] Speed: 1307.15 samples/sec accuracy=0.506836 top_k_accuracy_5=0.740273 | |
| Epoch[41] Batch [4400] Speed: 1305.50 samples/sec accuracy=0.507891 top_k_accuracy_5=0.744141 | |
| Epoch[41] Batch [4500] Speed: 1313.03 samples/sec accuracy=0.512773 top_k_accuracy_5=0.748281 | |
| Epoch[41] Batch [4600] Speed: 1307.21 samples/sec accuracy=0.510547 top_k_accuracy_5=0.745625 | |
| Epoch[41] Batch [4700] Speed: 1312.82 samples/sec accuracy=0.514961 top_k_accuracy_5=0.747617 | |
| Epoch[41] Batch [4800] Speed: 1317.23 samples/sec accuracy=0.512344 top_k_accuracy_5=0.744727 | |
| Epoch[41] Batch [4900] Speed: 1321.02 samples/sec accuracy=0.513633 top_k_accuracy_5=0.745938 | |
| Epoch[41] Batch [5000] Speed: 1308.81 samples/sec accuracy=0.510039 top_k_accuracy_5=0.743281 | |
| Epoch[41] Train-accuracy=0.500000 | |
| Epoch[41] Train-top_k_accuracy_5=0.727539 | |
| Epoch[41] Time cost=978.144 | |
| Saved checkpoint to "model/resnet18-0042.params" | |
| Epoch[41] Validation-accuracy=0.519691 | |
| Epoch[41] Validation-top_k_accuracy_5=0.756956 | |
| Epoch[42] Batch [100] Speed: 1310.24 samples/sec accuracy=0.510442 top_k_accuracy_5=0.747254 | |
| Epoch[42] Batch [200] Speed: 1312.97 samples/sec accuracy=0.508125 top_k_accuracy_5=0.739922 | |
| Epoch[42] Batch [300] Speed: 1309.37 samples/sec accuracy=0.511172 top_k_accuracy_5=0.745859 | |
| Epoch[42] Batch [400] Speed: 1314.22 samples/sec accuracy=0.506445 top_k_accuracy_5=0.738828 | |
| Epoch[42] Batch [500] Speed: 1313.82 samples/sec accuracy=0.510664 top_k_accuracy_5=0.743594 | |
| Epoch[42] Batch [600] Speed: 1309.26 samples/sec accuracy=0.511758 top_k_accuracy_5=0.741602 | |
| Epoch[42] Batch [700] Speed: 1315.41 samples/sec accuracy=0.510586 top_k_accuracy_5=0.738437 | |
| Epoch[42] Batch [800] Speed: 1312.06 samples/sec accuracy=0.507930 top_k_accuracy_5=0.739336 | |
| Epoch[42] Batch [900] Speed: 1318.62 samples/sec accuracy=0.510000 top_k_accuracy_5=0.743320 | |
| Epoch[42] Batch [1000] Speed: 1311.12 samples/sec accuracy=0.509844 top_k_accuracy_5=0.743398 | |
| Epoch[42] Batch [1100] Speed: 1314.46 samples/sec accuracy=0.515078 top_k_accuracy_5=0.743164 | |
| Epoch[42] Batch [1200] Speed: 1313.57 samples/sec accuracy=0.510391 top_k_accuracy_5=0.744570 | |
| Epoch[42] Batch [1300] Speed: 1307.99 samples/sec accuracy=0.510859 top_k_accuracy_5=0.742734 | |
| Epoch[42] Batch [1400] Speed: 1307.17 samples/sec accuracy=0.511602 top_k_accuracy_5=0.744336 | |
| Epoch[42] Batch [1500] Speed: 1304.38 samples/sec accuracy=0.504141 top_k_accuracy_5=0.736641 | |
| Epoch[42] Batch [1600] Speed: 1306.65 samples/sec accuracy=0.506055 top_k_accuracy_5=0.740391 | |
| Epoch[42] Batch [1700] Speed: 1312.19 samples/sec accuracy=0.508398 top_k_accuracy_5=0.742344 | |
| Epoch[42] Batch [1800] Speed: 1313.07 samples/sec accuracy=0.508477 top_k_accuracy_5=0.742773 | |
| Epoch[42] Batch [1900] Speed: 1312.50 samples/sec accuracy=0.512578 top_k_accuracy_5=0.743672 | |
| Epoch[42] Batch [2000] Speed: 1309.49 samples/sec accuracy=0.511875 top_k_accuracy_5=0.748477 | |
| Epoch[42] Batch [2100] Speed: 1315.99 samples/sec accuracy=0.512617 top_k_accuracy_5=0.740703 | |
| Epoch[42] Batch [2200] Speed: 1306.13 samples/sec accuracy=0.510273 top_k_accuracy_5=0.741172 | |
| Epoch[42] Batch [2300] Speed: 1307.98 samples/sec accuracy=0.506133 top_k_accuracy_5=0.739453 | |
| Epoch[42] Batch [2400] Speed: 1305.63 samples/sec accuracy=0.508398 top_k_accuracy_5=0.741406 | |
| Epoch[42] Batch [2500] Speed: 1316.76 samples/sec accuracy=0.506133 top_k_accuracy_5=0.741680 | |
| Epoch[42] Batch [2600] Speed: 1315.61 samples/sec accuracy=0.508594 top_k_accuracy_5=0.746367 | |
| Epoch[42] Batch [2700] Speed: 1314.22 samples/sec accuracy=0.507656 top_k_accuracy_5=0.740977 | |
| Epoch[42] Batch [2800] Speed: 1309.45 samples/sec accuracy=0.514336 top_k_accuracy_5=0.742266 | |
| Epoch[42] Batch [2900] Speed: 1318.81 samples/sec accuracy=0.516016 top_k_accuracy_5=0.744336 | |
| Epoch[42] Batch [3000] Speed: 1314.64 samples/sec accuracy=0.503164 top_k_accuracy_5=0.740078 | |
| Epoch[42] Batch [3100] Speed: 1307.20 samples/sec accuracy=0.508477 top_k_accuracy_5=0.744062 | |
| Epoch[42] Batch [3200] Speed: 1299.36 samples/sec accuracy=0.513828 top_k_accuracy_5=0.746445 | |
| Epoch[42] Batch [3300] Speed: 1305.19 samples/sec accuracy=0.510586 top_k_accuracy_5=0.740039 | |
| Epoch[42] Batch [3400] Speed: 1315.92 samples/sec accuracy=0.510391 top_k_accuracy_5=0.744531 | |
| Epoch[42] Batch [3500] Speed: 1303.43 samples/sec accuracy=0.515273 top_k_accuracy_5=0.742930 | |
| Epoch[42] Batch [3600] Speed: 1306.07 samples/sec accuracy=0.507539 top_k_accuracy_5=0.744062 | |
| Epoch[42] Batch [3700] Speed: 1307.50 samples/sec accuracy=0.508477 top_k_accuracy_5=0.740859 | |
| Epoch[42] Batch [3800] Speed: 1310.05 samples/sec accuracy=0.516953 top_k_accuracy_5=0.746641 | |
| Epoch[42] Batch [3900] Speed: 1304.56 samples/sec accuracy=0.508086 top_k_accuracy_5=0.740977 | |
| Epoch[42] Batch [4000] Speed: 1313.04 samples/sec accuracy=0.519375 top_k_accuracy_5=0.749062 | |
| Epoch[42] Batch [4100] Speed: 1310.52 samples/sec accuracy=0.507617 top_k_accuracy_5=0.742812 | |
| Epoch[42] Batch [4200] Speed: 1319.90 samples/sec accuracy=0.506758 top_k_accuracy_5=0.744453 | |
| Epoch[42] Batch [4300] Speed: 1315.87 samples/sec accuracy=0.510469 top_k_accuracy_5=0.743008 | |
| Epoch[42] Batch [4400] Speed: 1313.37 samples/sec accuracy=0.515273 top_k_accuracy_5=0.744414 | |
| Epoch[42] Batch [4500] Speed: 1300.95 samples/sec accuracy=0.512031 top_k_accuracy_5=0.744609 | |
| Epoch[42] Batch [4600] Speed: 1302.92 samples/sec accuracy=0.506406 top_k_accuracy_5=0.742578 | |
| Epoch[42] Batch [4700] Speed: 1300.59 samples/sec accuracy=0.514922 top_k_accuracy_5=0.744531 | |
| Epoch[42] Batch [4800] Speed: 1304.85 samples/sec accuracy=0.513164 top_k_accuracy_5=0.745977 | |
| Epoch[42] Batch [4900] Speed: 1304.72 samples/sec accuracy=0.516641 top_k_accuracy_5=0.748984 | |
| Epoch[42] Batch [5000] Speed: 1310.90 samples/sec accuracy=0.512227 top_k_accuracy_5=0.745859 | |
| Epoch[42] Train-accuracy=0.505859 | |
| Epoch[42] Train-top_k_accuracy_5=0.744141 | |
| Epoch[42] Time cost=978.291 | |
| Saved checkpoint to "model/resnet18-0043.params" | |
| Epoch[42] Validation-accuracy=0.520353 | |
| Epoch[42] Validation-top_k_accuracy_5=0.754888 | |
| Epoch[43] Batch [100] Speed: 1294.91 samples/sec accuracy=0.513420 top_k_accuracy_5=0.745166 | |
| Epoch[43] Batch [200] Speed: 1303.55 samples/sec accuracy=0.508477 top_k_accuracy_5=0.742188 | |
| Epoch[43] Batch [300] Speed: 1307.86 samples/sec accuracy=0.513516 top_k_accuracy_5=0.748008 | |
| Epoch[43] Batch [400] Speed: 1299.07 samples/sec accuracy=0.508906 top_k_accuracy_5=0.738672 | |
| Epoch[43] Batch [500] Speed: 1297.27 samples/sec accuracy=0.511445 top_k_accuracy_5=0.744727 | |
| Epoch[43] Batch [600] Speed: 1295.87 samples/sec accuracy=0.509961 top_k_accuracy_5=0.745078 | |
| Epoch[43] Batch [700] Speed: 1306.29 samples/sec accuracy=0.506406 top_k_accuracy_5=0.739648 | |
| Epoch[43] Batch [800] Speed: 1307.05 samples/sec accuracy=0.503398 top_k_accuracy_5=0.736563 | |
| Epoch[43] Batch [900] Speed: 1299.70 samples/sec accuracy=0.509805 top_k_accuracy_5=0.742852 | |
| Epoch[43] Batch [1000] Speed: 1309.23 samples/sec accuracy=0.510000 top_k_accuracy_5=0.743164 | |
| Epoch[43] Batch [1100] Speed: 1301.79 samples/sec accuracy=0.514141 top_k_accuracy_5=0.743867 | |
| Epoch[43] Batch [1200] Speed: 1308.75 samples/sec accuracy=0.507734 top_k_accuracy_5=0.739727 | |
| Epoch[43] Batch [1300] Speed: 1295.45 samples/sec accuracy=0.506602 top_k_accuracy_5=0.741016 | |
| Epoch[43] Batch [1400] Speed: 1298.71 samples/sec accuracy=0.505391 top_k_accuracy_5=0.742695 | |
| Epoch[43] Batch [1500] Speed: 1308.56 samples/sec accuracy=0.503633 top_k_accuracy_5=0.742148 | |
| Epoch[43] Batch [1600] Speed: 1296.90 samples/sec accuracy=0.506289 top_k_accuracy_5=0.740508 | |
| Epoch[43] Batch [1700] Speed: 1305.75 samples/sec accuracy=0.507148 top_k_accuracy_5=0.741484 | |
| Epoch[43] Batch [1800] Speed: 1305.94 samples/sec accuracy=0.508203 top_k_accuracy_5=0.740547 | |
| Epoch[43] Batch [1900] Speed: 1314.33 samples/sec accuracy=0.508906 top_k_accuracy_5=0.743203 | |
| Epoch[43] Batch [2000] Speed: 1312.03 samples/sec accuracy=0.511406 top_k_accuracy_5=0.743281 | |
| Epoch[43] Batch [2100] Speed: 1309.47 samples/sec accuracy=0.503945 top_k_accuracy_5=0.738750 | |
| Epoch[43] Batch [2200] Speed: 1307.16 samples/sec accuracy=0.508516 top_k_accuracy_5=0.742070 | |
| Epoch[43] Batch [2300] Speed: 1304.97 samples/sec accuracy=0.506914 top_k_accuracy_5=0.741094 | |
| Epoch[43] Batch [2400] Speed: 1306.62 samples/sec accuracy=0.505156 top_k_accuracy_5=0.739102 | |
| Epoch[43] Batch [2500] Speed: 1302.61 samples/sec accuracy=0.508555 top_k_accuracy_5=0.741992 | |
| Epoch[43] Batch [2600] Speed: 1307.50 samples/sec accuracy=0.508437 top_k_accuracy_5=0.743047 | |
| Epoch[43] Batch [2700] Speed: 1302.59 samples/sec accuracy=0.512930 top_k_accuracy_5=0.744219 | |
| Epoch[43] Batch [2800] Speed: 1300.94 samples/sec accuracy=0.506367 top_k_accuracy_5=0.740313 | |
| Epoch[43] Batch [2900] Speed: 1302.43 samples/sec accuracy=0.513711 top_k_accuracy_5=0.743711 | |
| Epoch[43] Batch [3000] Speed: 1319.05 samples/sec accuracy=0.506875 top_k_accuracy_5=0.741680 | |
| Epoch[43] Batch [3100] Speed: 1299.41 samples/sec accuracy=0.510312 top_k_accuracy_5=0.740547 | |
| Epoch[43] Batch [3200] Speed: 1308.62 samples/sec accuracy=0.516719 top_k_accuracy_5=0.749062 | |
| Epoch[43] Batch [3300] Speed: 1302.22 samples/sec accuracy=0.511875 top_k_accuracy_5=0.739883 | |
| Epoch[43] Batch [3400] Speed: 1303.80 samples/sec accuracy=0.505273 top_k_accuracy_5=0.743477 | |
| Epoch[43] Batch [3500] Speed: 1294.25 samples/sec accuracy=0.509570 top_k_accuracy_5=0.741133 | |
| Epoch[43] Batch [3600] Speed: 1308.45 samples/sec accuracy=0.505977 top_k_accuracy_5=0.738633 | |
| Epoch[43] Batch [3700] Speed: 1305.50 samples/sec accuracy=0.508633 top_k_accuracy_5=0.744648 | |
| Epoch[43] Batch [3800] Speed: 1304.92 samples/sec accuracy=0.512305 top_k_accuracy_5=0.745820 | |
| Epoch[43] Batch [3900] Speed: 1302.76 samples/sec accuracy=0.508906 top_k_accuracy_5=0.741875 | |
| Epoch[43] Batch [4000] Speed: 1307.57 samples/sec accuracy=0.513437 top_k_accuracy_5=0.745625 | |
| Epoch[43] Batch [4100] Speed: 1298.46 samples/sec accuracy=0.503672 top_k_accuracy_5=0.739688 | |
| Epoch[43] Batch [4200] Speed: 1301.87 samples/sec accuracy=0.509648 top_k_accuracy_5=0.741875 | |
| Epoch[43] Batch [4300] Speed: 1298.83 samples/sec accuracy=0.514766 top_k_accuracy_5=0.739961 | |
| Epoch[43] Batch [4400] Speed: 1308.45 samples/sec accuracy=0.515078 top_k_accuracy_5=0.745352 | |
| Epoch[43] Batch [4500] Speed: 1307.55 samples/sec accuracy=0.511719 top_k_accuracy_5=0.747617 | |
| Epoch[43] Batch [4600] Speed: 1311.38 samples/sec accuracy=0.513711 top_k_accuracy_5=0.745508 | |
| Epoch[43] Batch [4700] Speed: 1303.93 samples/sec accuracy=0.506484 top_k_accuracy_5=0.743203 | |
| Epoch[43] Batch [4800] Speed: 1308.54 samples/sec accuracy=0.508398 top_k_accuracy_5=0.744727 | |
| Epoch[43] Batch [4900] Speed: 1306.57 samples/sec accuracy=0.512969 top_k_accuracy_5=0.744141 | |
| Epoch[43] Batch [5000] Speed: 1309.04 samples/sec accuracy=0.504102 top_k_accuracy_5=0.741367 | |
| Epoch[43] Train-accuracy=0.500000 | |
| Epoch[43] Train-top_k_accuracy_5=0.713542 | |
| Epoch[43] Time cost=982.512 | |
| Saved checkpoint to "model/resnet18-0044.params" | |
| Epoch[43] Validation-accuracy=0.522376 | |
| Epoch[43] Validation-top_k_accuracy_5=0.758974 | |
| Epoch[44] Batch [100] Speed: 1311.16 samples/sec accuracy=0.511216 top_k_accuracy_5=0.744972 | |
| Epoch[44] Batch [200] Speed: 1324.05 samples/sec accuracy=0.511055 top_k_accuracy_5=0.745078 | |
| Epoch[44] Batch [300] Speed: 1314.53 samples/sec accuracy=0.511563 top_k_accuracy_5=0.745742 | |
| Epoch[44] Batch [400] Speed: 1315.05 samples/sec accuracy=0.507188 top_k_accuracy_5=0.743242 | |
| Epoch[44] Batch [500] Speed: 1314.90 samples/sec accuracy=0.513750 top_k_accuracy_5=0.746992 | |
| Epoch[44] Batch [600] Speed: 1312.26 samples/sec accuracy=0.510430 top_k_accuracy_5=0.740977 | |
| Epoch[44] Batch [700] Speed: 1320.39 samples/sec accuracy=0.506406 top_k_accuracy_5=0.739648 | |
| Epoch[44] Batch [800] Speed: 1316.42 samples/sec accuracy=0.507617 top_k_accuracy_5=0.741680 | |
| Epoch[44] Batch [900] Speed: 1307.29 samples/sec accuracy=0.509609 top_k_accuracy_5=0.746445 | |
| Epoch[44] Batch [1000] Speed: 1306.65 samples/sec accuracy=0.509297 top_k_accuracy_5=0.743789 | |
| Epoch[44] Batch [1100] Speed: 1293.64 samples/sec accuracy=0.509375 top_k_accuracy_5=0.743945 | |
| Epoch[44] Batch [1200] Speed: 1291.33 samples/sec accuracy=0.515078 top_k_accuracy_5=0.743437 | |
| Epoch[44] Batch [1300] Speed: 1294.52 samples/sec accuracy=0.507773 top_k_accuracy_5=0.737930 | |
| Epoch[44] Batch [1400] Speed: 1291.47 samples/sec accuracy=0.510938 top_k_accuracy_5=0.743516 | |
| Epoch[44] Batch [1500] Speed: 1300.45 samples/sec accuracy=0.508516 top_k_accuracy_5=0.744023 | |
| Epoch[44] Batch [1600] Speed: 1289.16 samples/sec accuracy=0.504141 top_k_accuracy_5=0.741758 | |
| Epoch[44] Batch [1700] Speed: 1306.51 samples/sec accuracy=0.514805 top_k_accuracy_5=0.746094 | |
| Epoch[44] Batch [1800] Speed: 1296.00 samples/sec accuracy=0.508594 top_k_accuracy_5=0.739453 | |
| Epoch[44] Batch [1900] Speed: 1295.25 samples/sec accuracy=0.510391 top_k_accuracy_5=0.742305 | |
| Epoch[44] Batch [2000] Speed: 1295.13 samples/sec accuracy=0.510156 top_k_accuracy_5=0.745938 | |
| Epoch[44] Batch [2100] Speed: 1301.33 samples/sec accuracy=0.505820 top_k_accuracy_5=0.742188 | |
| Epoch[44] Batch [2200] Speed: 1309.91 samples/sec accuracy=0.512500 top_k_accuracy_5=0.744375 | |
| Epoch[44] Batch [2300] Speed: 1306.27 samples/sec accuracy=0.506367 top_k_accuracy_5=0.741406 | |
| Epoch[44] Batch [2400] Speed: 1299.93 samples/sec accuracy=0.507383 top_k_accuracy_5=0.740391 | |
| Epoch[44] Batch [2500] Speed: 1290.76 samples/sec accuracy=0.509531 top_k_accuracy_5=0.743555 | |
| Epoch[44] Batch [2600] Speed: 1300.84 samples/sec accuracy=0.504570 top_k_accuracy_5=0.744492 | |
| Epoch[44] Batch [2700] Speed: 1295.66 samples/sec accuracy=0.510938 top_k_accuracy_5=0.743242 | |
| Epoch[44] Batch [2800] Speed: 1294.58 samples/sec accuracy=0.512148 top_k_accuracy_5=0.743086 | |
| Epoch[44] Batch [2900] Speed: 1304.36 samples/sec accuracy=0.512383 top_k_accuracy_5=0.741445 | |
| Epoch[44] Batch [3000] Speed: 1296.95 samples/sec accuracy=0.506133 top_k_accuracy_5=0.743398 | |
| Epoch[44] Batch [3100] Speed: 1300.44 samples/sec accuracy=0.507852 top_k_accuracy_5=0.740742 | |
| Epoch[44] Batch [3200] Speed: 1304.14 samples/sec accuracy=0.514492 top_k_accuracy_5=0.748906 | |
| Epoch[44] Batch [3300] Speed: 1297.76 samples/sec accuracy=0.506094 top_k_accuracy_5=0.739766 | |
| Epoch[44] Batch [3400] Speed: 1300.06 samples/sec accuracy=0.514687 top_k_accuracy_5=0.744648 | |
| Epoch[44] Batch [3500] Speed: 1291.54 samples/sec accuracy=0.514023 top_k_accuracy_5=0.746641 | |
| Epoch[44] Batch [3600] Speed: 1296.59 samples/sec accuracy=0.510664 top_k_accuracy_5=0.744883 | |
| Epoch[44] Batch [3700] Speed: 1292.58 samples/sec accuracy=0.510469 top_k_accuracy_5=0.743984 | |
| Epoch[44] Batch [3800] Speed: 1294.04 samples/sec accuracy=0.512695 top_k_accuracy_5=0.746289 | |
| Epoch[44] Batch [3900] Speed: 1291.80 samples/sec accuracy=0.507852 top_k_accuracy_5=0.737617 | |
| Epoch[44] Batch [4000] Speed: 1286.08 samples/sec accuracy=0.513828 top_k_accuracy_5=0.749062 | |
| Epoch[44] Batch [4100] Speed: 1286.96 samples/sec accuracy=0.506602 top_k_accuracy_5=0.743242 | |
| Epoch[44] Batch [4200] Speed: 1291.10 samples/sec accuracy=0.513164 top_k_accuracy_5=0.745938 | |
| Epoch[44] Batch [4300] Speed: 1291.09 samples/sec accuracy=0.509922 top_k_accuracy_5=0.738437 | |
| Epoch[44] Batch [4400] Speed: 1283.16 samples/sec accuracy=0.512969 top_k_accuracy_5=0.743086 | |
| Epoch[44] Batch [4500] Speed: 1292.21 samples/sec accuracy=0.516797 top_k_accuracy_5=0.747773 | |
| Epoch[44] Batch [4600] Speed: 1298.68 samples/sec accuracy=0.510469 top_k_accuracy_5=0.745859 | |
| Epoch[44] Batch [4700] Speed: 1289.35 samples/sec accuracy=0.515742 top_k_accuracy_5=0.744102 | |
| Epoch[44] Batch [4800] Speed: 1293.98 samples/sec accuracy=0.509805 top_k_accuracy_5=0.744102 | |
| Epoch[44] Batch [4900] Speed: 1298.18 samples/sec accuracy=0.516289 top_k_accuracy_5=0.747930 | |
| Epoch[44] Batch [5000] Speed: 1286.05 samples/sec accuracy=0.509531 top_k_accuracy_5=0.744219 | |
| Epoch[44] Train-accuracy=0.514648 | |
| Epoch[44] Train-top_k_accuracy_5=0.740234 | |
| Epoch[44] Time cost=986.599 | |
| Saved checkpoint to "model/resnet18-0045.params" | |
| Epoch[44] Validation-accuracy=0.521445 | |
| Epoch[44] Validation-top_k_accuracy_5=0.758450 | |
| Epoch[45] Batch [100] Speed: 1287.40 samples/sec accuracy=0.511603 top_k_accuracy_5=0.744469 | |
| Epoch[45] Batch [200] Speed: 1298.89 samples/sec accuracy=0.508008 top_k_accuracy_5=0.739727 | |
| Epoch[45] Batch [300] Speed: 1307.39 samples/sec accuracy=0.511641 top_k_accuracy_5=0.746484 | |
| Epoch[45] Batch [400] Speed: 1292.20 samples/sec accuracy=0.502461 top_k_accuracy_5=0.741133 | |
| Epoch[45] Batch [500] Speed: 1294.49 samples/sec accuracy=0.509648 top_k_accuracy_5=0.742422 | |
| Epoch[45] Batch [600] Speed: 1307.11 samples/sec accuracy=0.513281 top_k_accuracy_5=0.743828 | |
| Epoch[45] Batch [700] Speed: 1306.28 samples/sec accuracy=0.508828 top_k_accuracy_5=0.738867 | |
| Epoch[45] Batch [800] Speed: 1307.66 samples/sec accuracy=0.507539 top_k_accuracy_5=0.739258 | |
| Epoch[45] Batch [900] Speed: 1305.03 samples/sec accuracy=0.508281 top_k_accuracy_5=0.740586 | |
| Epoch[45] Batch [1000] Speed: 1309.35 samples/sec accuracy=0.505000 top_k_accuracy_5=0.741875 | |
| Epoch[45] Batch [1100] Speed: 1312.34 samples/sec accuracy=0.513789 top_k_accuracy_5=0.743086 | |
| Epoch[45] Batch [1200] Speed: 1311.95 samples/sec accuracy=0.508047 top_k_accuracy_5=0.740859 | |
| Epoch[45] Batch [1300] Speed: 1309.01 samples/sec accuracy=0.510195 top_k_accuracy_5=0.741641 | |
| Epoch[45] Batch [1400] Speed: 1313.59 samples/sec accuracy=0.509727 top_k_accuracy_5=0.742500 | |
| Epoch[45] Batch [1500] Speed: 1311.04 samples/sec accuracy=0.507578 top_k_accuracy_5=0.742188 | |
| Epoch[45] Batch [1600] Speed: 1305.82 samples/sec accuracy=0.509766 top_k_accuracy_5=0.740352 | |
| Epoch[45] Batch [1700] Speed: 1305.34 samples/sec accuracy=0.506094 top_k_accuracy_5=0.740781 | |
| Epoch[45] Batch [1800] Speed: 1315.57 samples/sec accuracy=0.509102 top_k_accuracy_5=0.742578 | |
| Epoch[45] Batch [1900] Speed: 1306.55 samples/sec accuracy=0.514844 top_k_accuracy_5=0.747266 | |
| Epoch[45] Batch [2000] Speed: 1304.08 samples/sec accuracy=0.513437 top_k_accuracy_5=0.744727 | |
| Epoch[45] Batch [2100] Speed: 1304.10 samples/sec accuracy=0.510156 top_k_accuracy_5=0.745898 | |
| Epoch[45] Batch [2200] Speed: 1312.43 samples/sec accuracy=0.506523 top_k_accuracy_5=0.741250 | |
| Epoch[45] Batch [2300] Speed: 1314.38 samples/sec accuracy=0.505352 top_k_accuracy_5=0.742617 | |
| Epoch[45] Batch [2400] Speed: 1306.85 samples/sec accuracy=0.510000 top_k_accuracy_5=0.741563 | |
| Epoch[45] Batch [2500] Speed: 1315.42 samples/sec accuracy=0.512305 top_k_accuracy_5=0.743047 | |
| Epoch[45] Batch [2600] Speed: 1307.13 samples/sec accuracy=0.507617 top_k_accuracy_5=0.739570 | |
| Epoch[45] Batch [2700] Speed: 1308.46 samples/sec accuracy=0.511328 top_k_accuracy_5=0.744844 | |
| Epoch[45] Batch [2800] Speed: 1308.33 samples/sec accuracy=0.510664 top_k_accuracy_5=0.746133 | |
| Epoch[45] Batch [2900] Speed: 1308.66 samples/sec accuracy=0.514609 top_k_accuracy_5=0.741641 | |
| Epoch[45] Batch [3000] Speed: 1304.71 samples/sec accuracy=0.505508 top_k_accuracy_5=0.742188 | |
| Epoch[45] Batch [3100] Speed: 1323.18 samples/sec accuracy=0.508984 top_k_accuracy_5=0.742148 | |
| Epoch[45] Batch [3200] Speed: 1310.03 samples/sec accuracy=0.517109 top_k_accuracy_5=0.753867 | |
| Epoch[45] Batch [3300] Speed: 1312.38 samples/sec accuracy=0.510859 top_k_accuracy_5=0.741133 | |
| Epoch[45] Batch [3400] Speed: 1305.61 samples/sec accuracy=0.515312 top_k_accuracy_5=0.746680 | |
| Epoch[45] Batch [3500] Speed: 1315.56 samples/sec accuracy=0.513672 top_k_accuracy_5=0.745273 | |
| Epoch[45] Batch [3600] Speed: 1310.66 samples/sec accuracy=0.508828 top_k_accuracy_5=0.746602 | |
| Epoch[45] Batch [3700] Speed: 1303.21 samples/sec accuracy=0.511914 top_k_accuracy_5=0.746367 | |
| Epoch[45] Batch [3800] Speed: 1311.18 samples/sec accuracy=0.513437 top_k_accuracy_5=0.746875 | |
| Epoch[45] Batch [3900] Speed: 1309.08 samples/sec accuracy=0.506328 top_k_accuracy_5=0.742695 | |
| Epoch[45] Batch [4000] Speed: 1306.70 samples/sec accuracy=0.518398 top_k_accuracy_5=0.745313 | |
| Epoch[45] Batch [4100] Speed: 1299.20 samples/sec accuracy=0.506953 top_k_accuracy_5=0.739141 | |
| Epoch[45] Batch [4200] Speed: 1311.15 samples/sec accuracy=0.506484 top_k_accuracy_5=0.743750 | |
| Epoch[45] Batch [4300] Speed: 1310.02 samples/sec accuracy=0.508984 top_k_accuracy_5=0.743828 | |
| Epoch[45] Batch [4400] Speed: 1307.84 samples/sec accuracy=0.512656 top_k_accuracy_5=0.745703 | |
| Epoch[45] Batch [4500] Speed: 1311.31 samples/sec accuracy=0.519648 top_k_accuracy_5=0.746211 | |
| Epoch[45] Batch [4600] Speed: 1308.00 samples/sec accuracy=0.508125 top_k_accuracy_5=0.743945 | |
| Epoch[45] Batch [4700] Speed: 1308.72 samples/sec accuracy=0.510938 top_k_accuracy_5=0.743711 | |
| Epoch[45] Batch [4800] Speed: 1309.24 samples/sec accuracy=0.510391 top_k_accuracy_5=0.744766 | |
| Epoch[45] Batch [4900] Speed: 1304.46 samples/sec accuracy=0.515469 top_k_accuracy_5=0.744414 | |
| Epoch[45] Batch [5000] Speed: 1314.55 samples/sec accuracy=0.512773 top_k_accuracy_5=0.743203 | |
| Epoch[45] Train-accuracy=0.500000 | |
| Epoch[45] Train-top_k_accuracy_5=0.734375 | |
| Epoch[45] Time cost=979.796 | |
| Saved checkpoint to "model/resnet18-0046.params" | |
| Epoch[45] Validation-accuracy=0.515485 | |
| Epoch[45] Validation-top_k_accuracy_5=0.752464 | |
| Epoch[46] Batch [100] Speed: 1300.72 samples/sec accuracy=0.514542 top_k_accuracy_5=0.750232 | |
| Epoch[46] Batch [200] Speed: 1302.85 samples/sec accuracy=0.507070 top_k_accuracy_5=0.744336 | |
| Epoch[46] Batch [300] Speed: 1302.37 samples/sec accuracy=0.510117 top_k_accuracy_5=0.744141 | |
| Epoch[46] Batch [400] Speed: 1303.25 samples/sec accuracy=0.507852 top_k_accuracy_5=0.738008 | |
| Epoch[46] Batch [500] Speed: 1303.82 samples/sec accuracy=0.514648 top_k_accuracy_5=0.747305 | |
| Epoch[46] Batch [600] Speed: 1317.38 samples/sec accuracy=0.512188 top_k_accuracy_5=0.745117 | |
| Epoch[46] Batch [700] Speed: 1308.75 samples/sec accuracy=0.510664 top_k_accuracy_5=0.742461 | |
| Epoch[46] Batch [800] Speed: 1309.95 samples/sec accuracy=0.508906 top_k_accuracy_5=0.740391 | |
| Epoch[46] Batch [900] Speed: 1310.11 samples/sec accuracy=0.512930 top_k_accuracy_5=0.741719 | |
| Epoch[46] Batch [1000] Speed: 1310.72 samples/sec accuracy=0.508516 top_k_accuracy_5=0.738789 | |
| Epoch[46] Batch [1100] Speed: 1319.43 samples/sec accuracy=0.515234 top_k_accuracy_5=0.742734 | |
| Epoch[46] Batch [1200] Speed: 1313.27 samples/sec accuracy=0.512891 top_k_accuracy_5=0.744687 | |
| Epoch[46] Batch [1300] Speed: 1314.94 samples/sec accuracy=0.510195 top_k_accuracy_5=0.740547 | |
| Epoch[46] Batch [1400] Speed: 1313.63 samples/sec accuracy=0.510664 top_k_accuracy_5=0.744375 | |
| Epoch[46] Batch [1500] Speed: 1307.07 samples/sec accuracy=0.510938 top_k_accuracy_5=0.742227 | |
| Epoch[46] Batch [1600] Speed: 1313.97 samples/sec accuracy=0.508516 top_k_accuracy_5=0.743281 | |
| Epoch[46] Batch [1700] Speed: 1318.27 samples/sec accuracy=0.513359 top_k_accuracy_5=0.742773 | |
| Epoch[46] Batch [1800] Speed: 1302.81 samples/sec accuracy=0.508242 top_k_accuracy_5=0.743008 | |
| Epoch[46] Batch [1900] Speed: 1312.55 samples/sec accuracy=0.512969 top_k_accuracy_5=0.740938 | |
| Epoch[46] Batch [2000] Speed: 1308.46 samples/sec accuracy=0.512031 top_k_accuracy_5=0.742656 | |
| Epoch[46] Batch [2100] Speed: 1316.06 samples/sec accuracy=0.508828 top_k_accuracy_5=0.741406 | |
| Epoch[46] Batch [2200] Speed: 1308.85 samples/sec accuracy=0.510586 top_k_accuracy_5=0.743477 | |
| Epoch[46] Batch [2300] Speed: 1306.05 samples/sec accuracy=0.504727 top_k_accuracy_5=0.742695 | |
| Epoch[46] Batch [2400] Speed: 1318.21 samples/sec accuracy=0.509180 top_k_accuracy_5=0.743672 | |
| Epoch[46] Batch [2500] Speed: 1317.12 samples/sec accuracy=0.506797 top_k_accuracy_5=0.738750 | |
| Epoch[46] Batch [2600] Speed: 1313.66 samples/sec accuracy=0.508398 top_k_accuracy_5=0.744648 | |
| Epoch[46] Batch [2700] Speed: 1313.89 samples/sec accuracy=0.510898 top_k_accuracy_5=0.740000 | |
| Epoch[46] Batch [2800] Speed: 1303.08 samples/sec accuracy=0.516172 top_k_accuracy_5=0.745078 | |
| Epoch[46] Batch [2900] Speed: 1311.38 samples/sec accuracy=0.515312 top_k_accuracy_5=0.744570 | |
| Epoch[46] Batch [3000] Speed: 1315.43 samples/sec accuracy=0.506953 top_k_accuracy_5=0.744141 | |
| Epoch[46] Batch [3100] Speed: 1310.28 samples/sec accuracy=0.508047 top_k_accuracy_5=0.742461 | |
| Epoch[46] Batch [3200] Speed: 1305.69 samples/sec accuracy=0.516523 top_k_accuracy_5=0.749570 | |
| Epoch[46] Batch [3300] Speed: 1304.48 samples/sec accuracy=0.507422 top_k_accuracy_5=0.741797 | |
| Epoch[46] Batch [3400] Speed: 1310.06 samples/sec accuracy=0.510000 top_k_accuracy_5=0.742695 | |
| Epoch[46] Batch [3500] Speed: 1314.61 samples/sec accuracy=0.510391 top_k_accuracy_5=0.743437 | |
| Epoch[46] Batch [3600] Speed: 1316.64 samples/sec accuracy=0.508437 top_k_accuracy_5=0.743125 | |
| Epoch[46] Batch [3700] Speed: 1318.79 samples/sec accuracy=0.509102 top_k_accuracy_5=0.743867 | |
| Epoch[46] Batch [3800] Speed: 1314.56 samples/sec accuracy=0.514844 top_k_accuracy_5=0.747578 | |
| Epoch[46] Batch [3900] Speed: 1314.87 samples/sec accuracy=0.509336 top_k_accuracy_5=0.742852 | |
| Epoch[46] Batch [4000] Speed: 1322.69 samples/sec accuracy=0.517930 top_k_accuracy_5=0.748320 | |
| Epoch[46] Batch [4100] Speed: 1306.27 samples/sec accuracy=0.506367 top_k_accuracy_5=0.741641 | |
| Epoch[46] Batch [4200] Speed: 1313.61 samples/sec accuracy=0.509062 top_k_accuracy_5=0.744961 | |
| Epoch[46] Batch [4300] Speed: 1307.75 samples/sec accuracy=0.508828 top_k_accuracy_5=0.741484 | |
| Epoch[46] Batch [4400] Speed: 1313.73 samples/sec accuracy=0.509687 top_k_accuracy_5=0.745352 | |
| Epoch[46] Batch [4500] Speed: 1313.94 samples/sec accuracy=0.513789 top_k_accuracy_5=0.748203 | |
| Epoch[46] Batch [4600] Speed: 1311.51 samples/sec accuracy=0.509141 top_k_accuracy_5=0.741914 | |
| Epoch[46] Batch [4700] Speed: 1322.27 samples/sec accuracy=0.506719 top_k_accuracy_5=0.743555 | |
| Epoch[46] Batch [4800] Speed: 1321.22 samples/sec accuracy=0.513789 top_k_accuracy_5=0.742969 | |
| Epoch[46] Batch [4900] Speed: 1328.14 samples/sec accuracy=0.514062 top_k_accuracy_5=0.745391 | |
| Epoch[46] Batch [5000] Speed: 1312.03 samples/sec accuracy=0.512852 top_k_accuracy_5=0.746055 | |
| Epoch[46] Train-accuracy=0.491211 | |
| Epoch[46] Train-top_k_accuracy_5=0.708008 | |
| Epoch[46] Time cost=976.958 | |
| Saved checkpoint to "model/resnet18-0047.params" | |
| Epoch[46] Validation-accuracy=0.520152 | |
| Epoch[46] Validation-top_k_accuracy_5=0.756971 | |
| Epoch[47] Batch [100] Speed: 1317.79 samples/sec accuracy=0.513459 top_k_accuracy_5=0.746326 | |
| Epoch[47] Batch [200] Speed: 1309.12 samples/sec accuracy=0.509258 top_k_accuracy_5=0.740234 | |
| Epoch[47] Batch [300] Speed: 1316.60 samples/sec accuracy=0.513984 top_k_accuracy_5=0.745625 | |
| Epoch[47] Batch [400] Speed: 1313.92 samples/sec accuracy=0.503281 top_k_accuracy_5=0.739766 | |
| Epoch[47] Batch [500] Speed: 1314.21 samples/sec accuracy=0.510117 top_k_accuracy_5=0.743281 | |
| Epoch[47] Batch [600] Speed: 1318.07 samples/sec accuracy=0.513984 top_k_accuracy_5=0.746797 | |
| Epoch[47] Batch [700] Speed: 1318.20 samples/sec accuracy=0.511836 top_k_accuracy_5=0.742422 | |
| Epoch[47] Batch [800] Speed: 1305.31 samples/sec accuracy=0.511328 top_k_accuracy_5=0.741406 | |
| Epoch[47] Batch [900] Speed: 1312.29 samples/sec accuracy=0.507383 top_k_accuracy_5=0.741328 | |
| Epoch[47] Batch [1000] Speed: 1311.81 samples/sec accuracy=0.509023 top_k_accuracy_5=0.744844 | |
| Epoch[47] Batch [1100] Speed: 1320.53 samples/sec accuracy=0.512422 top_k_accuracy_5=0.742852 | |
| Epoch[47] Batch [1200] Speed: 1321.39 samples/sec accuracy=0.510742 top_k_accuracy_5=0.745000 | |
| Epoch[47] Batch [1300] Speed: 1321.44 samples/sec accuracy=0.506602 top_k_accuracy_5=0.739062 | |
| Epoch[47] Batch [1400] Speed: 1317.19 samples/sec accuracy=0.507422 top_k_accuracy_5=0.742852 | |
| Epoch[47] Batch [1500] Speed: 1308.44 samples/sec accuracy=0.506484 top_k_accuracy_5=0.741445 | |
| Epoch[47] Batch [1600] Speed: 1313.86 samples/sec accuracy=0.507891 top_k_accuracy_5=0.741094 | |
| Epoch[47] Batch [1700] Speed: 1313.24 samples/sec accuracy=0.509648 top_k_accuracy_5=0.742734 | |
| Epoch[47] Batch [1800] Speed: 1306.72 samples/sec accuracy=0.507578 top_k_accuracy_5=0.742773 | |
| Epoch[47] Batch [1900] Speed: 1314.00 samples/sec accuracy=0.509297 top_k_accuracy_5=0.742070 | |
| Epoch[47] Batch [2000] Speed: 1308.75 samples/sec accuracy=0.511445 top_k_accuracy_5=0.742422 | |
| Epoch[47] Batch [2100] Speed: 1306.66 samples/sec accuracy=0.512539 top_k_accuracy_5=0.743320 | |
| Epoch[47] Batch [2200] Speed: 1321.12 samples/sec accuracy=0.508008 top_k_accuracy_5=0.737578 | |
| Epoch[47] Batch [2300] Speed: 1309.07 samples/sec accuracy=0.506523 top_k_accuracy_5=0.740938 | |
| Epoch[47] Batch [2400] Speed: 1301.76 samples/sec accuracy=0.505547 top_k_accuracy_5=0.741016 | |
| Epoch[47] Batch [2500] Speed: 1289.18 samples/sec accuracy=0.512188 top_k_accuracy_5=0.745000 | |
| Epoch[47] Batch [2600] Speed: 1307.16 samples/sec accuracy=0.505781 top_k_accuracy_5=0.743711 | |
| Epoch[47] Batch [2700] Speed: 1309.48 samples/sec accuracy=0.510703 top_k_accuracy_5=0.743672 | |
| Epoch[47] Batch [2800] Speed: 1320.80 samples/sec accuracy=0.514766 top_k_accuracy_5=0.748867 | |
| Epoch[47] Batch [2900] Speed: 1313.26 samples/sec accuracy=0.514531 top_k_accuracy_5=0.746797 | |
| Epoch[47] Batch [3000] Speed: 1308.15 samples/sec accuracy=0.504297 top_k_accuracy_5=0.743984 | |
| Epoch[47] Batch [3100] Speed: 1310.76 samples/sec accuracy=0.508008 top_k_accuracy_5=0.740195 | |
| Epoch[47] Batch [3200] Speed: 1316.37 samples/sec accuracy=0.518242 top_k_accuracy_5=0.749297 | |
| Epoch[47] Batch [3300] Speed: 1313.82 samples/sec accuracy=0.514023 top_k_accuracy_5=0.743359 | |
| Epoch[47] Batch [3400] Speed: 1308.17 samples/sec accuracy=0.514531 top_k_accuracy_5=0.743672 | |
| Epoch[47] Batch [3500] Speed: 1318.18 samples/sec accuracy=0.510273 top_k_accuracy_5=0.742188 | |
| Epoch[47] Batch [3600] Speed: 1307.02 samples/sec accuracy=0.510273 top_k_accuracy_5=0.748984 | |
| Epoch[47] Batch [3700] Speed: 1307.06 samples/sec accuracy=0.506641 top_k_accuracy_5=0.740195 | |
| Epoch[47] Batch [3800] Speed: 1309.56 samples/sec accuracy=0.512188 top_k_accuracy_5=0.746133 | |
| Epoch[47] Batch [3900] Speed: 1304.97 samples/sec accuracy=0.507695 top_k_accuracy_5=0.744492 | |
| Epoch[47] Batch [4000] Speed: 1299.69 samples/sec accuracy=0.515039 top_k_accuracy_5=0.746719 | |
| Epoch[47] Batch [4100] Speed: 1308.57 samples/sec accuracy=0.502891 top_k_accuracy_5=0.743516 | |
| Epoch[47] Batch [4200] Speed: 1302.29 samples/sec accuracy=0.511328 top_k_accuracy_5=0.743203 | |
| Epoch[47] Batch [4300] Speed: 1306.91 samples/sec accuracy=0.510898 top_k_accuracy_5=0.745859 | |
| Epoch[47] Batch [4400] Speed: 1305.22 samples/sec accuracy=0.511953 top_k_accuracy_5=0.748867 | |
| Epoch[47] Batch [4500] Speed: 1307.64 samples/sec accuracy=0.513672 top_k_accuracy_5=0.743906 | |
| Epoch[47] Batch [4600] Speed: 1295.15 samples/sec accuracy=0.508555 top_k_accuracy_5=0.738828 | |
| Epoch[47] Batch [4700] Speed: 1313.77 samples/sec accuracy=0.510039 top_k_accuracy_5=0.743633 | |
| Epoch[47] Batch [4800] Speed: 1310.47 samples/sec accuracy=0.514922 top_k_accuracy_5=0.745469 | |
| Epoch[47] Batch [4900] Speed: 1305.96 samples/sec accuracy=0.513867 top_k_accuracy_5=0.745898 | |
| Epoch[47] Batch [5000] Speed: 1304.35 samples/sec accuracy=0.510703 top_k_accuracy_5=0.744141 | |
| Epoch[47] Train-accuracy=0.526042 | |
| Epoch[47] Train-top_k_accuracy_5=0.734375 | |
| Epoch[47] Time cost=977.828 | |
| Saved checkpoint to "model/resnet18-0048.params" | |
| Epoch[47] Validation-accuracy=0.519431 | |
| Epoch[47] Validation-top_k_accuracy_5=0.757913 | |
| Epoch[48] Batch [100] Speed: 1291.99 samples/sec accuracy=0.510249 top_k_accuracy_5=0.746481 | |
| Epoch[48] Batch [200] Speed: 1314.26 samples/sec accuracy=0.516016 top_k_accuracy_5=0.745859 | |
| Epoch[48] Batch [300] Speed: 1306.71 samples/sec accuracy=0.511523 top_k_accuracy_5=0.747734 | |
| Epoch[48] Batch [400] Speed: 1307.82 samples/sec accuracy=0.508398 top_k_accuracy_5=0.743203 | |
| Epoch[48] Batch [500] Speed: 1305.94 samples/sec accuracy=0.515430 top_k_accuracy_5=0.746250 | |
| Epoch[48] Batch [600] Speed: 1308.23 samples/sec accuracy=0.508242 top_k_accuracy_5=0.740000 | |
| Epoch[48] Batch [700] Speed: 1303.02 samples/sec accuracy=0.506289 top_k_accuracy_5=0.741289 | |
| Epoch[48] Batch [800] Speed: 1310.60 samples/sec accuracy=0.506211 top_k_accuracy_5=0.741641 | |
| Epoch[48] Batch [900] Speed: 1304.35 samples/sec accuracy=0.505195 top_k_accuracy_5=0.739219 | |
| Epoch[48] Batch [1000] Speed: 1309.19 samples/sec accuracy=0.511484 top_k_accuracy_5=0.747227 | |
| Epoch[48] Batch [1100] Speed: 1295.85 samples/sec accuracy=0.512109 top_k_accuracy_5=0.745508 | |
| Epoch[48] Batch [1200] Speed: 1301.19 samples/sec accuracy=0.510195 top_k_accuracy_5=0.743711 | |
| Epoch[48] Batch [1300] Speed: 1304.49 samples/sec accuracy=0.509922 top_k_accuracy_5=0.744414 | |
| Epoch[48] Batch [1400] Speed: 1310.36 samples/sec accuracy=0.512344 top_k_accuracy_5=0.745820 | |
| Epoch[48] Batch [1500] Speed: 1300.26 samples/sec accuracy=0.507305 top_k_accuracy_5=0.743672 | |
| Epoch[48] Batch [1600] Speed: 1302.05 samples/sec accuracy=0.499297 top_k_accuracy_5=0.739844 | |
| Epoch[48] Batch [1700] Speed: 1306.13 samples/sec accuracy=0.507266 top_k_accuracy_5=0.741289 | |
| Epoch[48] Batch [1800] Speed: 1306.08 samples/sec accuracy=0.506133 top_k_accuracy_5=0.741289 | |
| Epoch[48] Batch [1900] Speed: 1308.51 samples/sec accuracy=0.508984 top_k_accuracy_5=0.743164 | |
| Epoch[48] Batch [2000] Speed: 1304.23 samples/sec accuracy=0.510430 top_k_accuracy_5=0.742031 | |
| Epoch[48] Batch [2100] Speed: 1307.03 samples/sec accuracy=0.512930 top_k_accuracy_5=0.739805 | |
| Epoch[48] Batch [2200] Speed: 1309.74 samples/sec accuracy=0.515117 top_k_accuracy_5=0.745820 | |
| Epoch[48] Batch [2300] Speed: 1310.26 samples/sec accuracy=0.507734 top_k_accuracy_5=0.738906 | |
| Epoch[48] Batch [2400] Speed: 1319.31 samples/sec accuracy=0.511953 top_k_accuracy_5=0.744492 | |
| Epoch[48] Batch [2500] Speed: 1302.35 samples/sec accuracy=0.506445 top_k_accuracy_5=0.741641 | |
| Epoch[48] Batch [2600] Speed: 1306.99 samples/sec accuracy=0.508945 top_k_accuracy_5=0.743359 | |
| Epoch[48] Batch [2700] Speed: 1306.51 samples/sec accuracy=0.507227 top_k_accuracy_5=0.740234 | |
| Epoch[48] Batch [2800] Speed: 1302.97 samples/sec accuracy=0.513984 top_k_accuracy_5=0.742578 | |
| Epoch[48] Batch [2900] Speed: 1308.51 samples/sec accuracy=0.514375 top_k_accuracy_5=0.747344 | |
| Epoch[48] Batch [3000] Speed: 1308.53 samples/sec accuracy=0.510664 top_k_accuracy_5=0.740977 | |
| Epoch[48] Batch [3100] Speed: 1304.86 samples/sec accuracy=0.508711 top_k_accuracy_5=0.741523 | |
| Epoch[48] Batch [3200] Speed: 1309.00 samples/sec accuracy=0.512695 top_k_accuracy_5=0.746484 | |
| Epoch[48] Batch [3300] Speed: 1308.61 samples/sec accuracy=0.508086 top_k_accuracy_5=0.741172 | |
| Epoch[48] Batch [3400] Speed: 1309.49 samples/sec accuracy=0.507734 top_k_accuracy_5=0.746211 | |
| Epoch[48] Batch [3500] Speed: 1302.02 samples/sec accuracy=0.509258 top_k_accuracy_5=0.744141 | |
| Epoch[48] Batch [3600] Speed: 1307.90 samples/sec accuracy=0.509141 top_k_accuracy_5=0.743867 | |
| Epoch[48] Batch [3700] Speed: 1306.92 samples/sec accuracy=0.509844 top_k_accuracy_5=0.744258 | |
| Epoch[48] Batch [3800] Speed: 1297.66 samples/sec accuracy=0.511211 top_k_accuracy_5=0.746250 | |
| Epoch[48] Batch [3900] Speed: 1311.26 samples/sec accuracy=0.508008 top_k_accuracy_5=0.741914 | |
| Epoch[48] Batch [4000] Speed: 1306.78 samples/sec accuracy=0.520508 top_k_accuracy_5=0.749141 | |
| Epoch[48] Batch [4100] Speed: 1297.08 samples/sec accuracy=0.508867 top_k_accuracy_5=0.739336 | |
| Epoch[48] Batch [4200] Speed: 1298.73 samples/sec accuracy=0.511367 top_k_accuracy_5=0.744570 | |
| Epoch[48] Batch [4300] Speed: 1295.54 samples/sec accuracy=0.510547 top_k_accuracy_5=0.743086 | |
| Epoch[48] Batch [4400] Speed: 1303.38 samples/sec accuracy=0.511406 top_k_accuracy_5=0.745703 | |
| Epoch[48] Batch [4500] Speed: 1299.37 samples/sec accuracy=0.513789 top_k_accuracy_5=0.746875 | |
| Epoch[48] Batch [4600] Speed: 1300.36 samples/sec accuracy=0.508984 top_k_accuracy_5=0.740547 | |
| Epoch[48] Batch [4700] Speed: 1303.05 samples/sec accuracy=0.513516 top_k_accuracy_5=0.747578 | |
| Epoch[48] Batch [4800] Speed: 1301.76 samples/sec accuracy=0.510273 top_k_accuracy_5=0.743164 | |
| Epoch[48] Batch [4900] Speed: 1304.97 samples/sec accuracy=0.518945 top_k_accuracy_5=0.751445 | |
| Epoch[48] Batch [5000] Speed: 1297.42 samples/sec accuracy=0.511953 top_k_accuracy_5=0.744336 | |
| Epoch[48] Train-accuracy=0.485352 | |
| Epoch[48] Train-top_k_accuracy_5=0.716797 | |
| Epoch[48] Time cost=982.156 | |
| Saved checkpoint to "model/resnet18-0049.params" | |
| Epoch[48] Validation-accuracy=0.516721 | |
| Epoch[48] Validation-top_k_accuracy_5=0.753548 | |
| Epoch[49] Batch [100] Speed: 1291.51 samples/sec accuracy=0.511448 top_k_accuracy_5=0.747757 | |
| Epoch[49] Batch [200] Speed: 1304.85 samples/sec accuracy=0.510039 top_k_accuracy_5=0.741602 | |
| Epoch[49] Batch [300] Speed: 1310.14 samples/sec accuracy=0.509961 top_k_accuracy_5=0.747461 | |
| Epoch[49] Batch [400] Speed: 1300.34 samples/sec accuracy=0.504844 top_k_accuracy_5=0.739688 | |
| Epoch[49] Batch [500] Speed: 1282.32 samples/sec accuracy=0.514453 top_k_accuracy_5=0.744297 | |
| Epoch[49] Batch [600] Speed: 1293.47 samples/sec accuracy=0.513984 top_k_accuracy_5=0.748359 | |
| Epoch[49] Batch [700] Speed: 1297.35 samples/sec accuracy=0.508008 top_k_accuracy_5=0.739336 | |
| Epoch[49] Batch [800] Speed: 1295.52 samples/sec accuracy=0.508164 top_k_accuracy_5=0.741367 | |
| Epoch[49] Batch [900] Speed: 1305.86 samples/sec accuracy=0.509648 top_k_accuracy_5=0.742930 | |
| Epoch[49] Batch [1000] Speed: 1298.45 samples/sec accuracy=0.512813 top_k_accuracy_5=0.746445 | |
| Epoch[49] Batch [1100] Speed: 1291.25 samples/sec accuracy=0.513945 top_k_accuracy_5=0.748086 | |
| Epoch[49] Batch [1200] Speed: 1289.27 samples/sec accuracy=0.512383 top_k_accuracy_5=0.747266 | |
| Epoch[49] Batch [1300] Speed: 1291.90 samples/sec accuracy=0.508594 top_k_accuracy_5=0.744727 | |
| Epoch[49] Batch [1400] Speed: 1294.33 samples/sec accuracy=0.509375 top_k_accuracy_5=0.738867 | |
| Epoch[49] Batch [1500] Speed: 1295.56 samples/sec accuracy=0.512461 top_k_accuracy_5=0.745781 | |
| Epoch[49] Batch [1600] Speed: 1296.17 samples/sec accuracy=0.506328 top_k_accuracy_5=0.738945 | |
| Epoch[49] Batch [1700] Speed: 1301.10 samples/sec accuracy=0.511523 top_k_accuracy_5=0.742969 | |
| Epoch[49] Batch [1800] Speed: 1301.30 samples/sec accuracy=0.510391 top_k_accuracy_5=0.747266 | |
| Epoch[49] Batch [1900] Speed: 1294.78 samples/sec accuracy=0.513672 top_k_accuracy_5=0.742773 | |
| Epoch[49] Batch [2000] Speed: 1297.62 samples/sec accuracy=0.512734 top_k_accuracy_5=0.744336 | |
| Epoch[49] Batch [2100] Speed: 1287.97 samples/sec accuracy=0.511836 top_k_accuracy_5=0.741680 | |
| Epoch[49] Batch [2200] Speed: 1289.57 samples/sec accuracy=0.511055 top_k_accuracy_5=0.743867 | |
| Epoch[49] Batch [2300] Speed: 1292.99 samples/sec accuracy=0.509766 top_k_accuracy_5=0.742617 | |
| Epoch[49] Batch [2400] Speed: 1279.38 samples/sec accuracy=0.508555 top_k_accuracy_5=0.741875 | |
| Epoch[49] Batch [2500] Speed: 1288.27 samples/sec accuracy=0.514687 top_k_accuracy_5=0.746211 | |
| Epoch[49] Batch [2600] Speed: 1288.04 samples/sec accuracy=0.511328 top_k_accuracy_5=0.743203 | |
| Epoch[49] Batch [2700] Speed: 1285.60 samples/sec accuracy=0.508984 top_k_accuracy_5=0.739492 | |
| Epoch[49] Batch [2800] Speed: 1292.46 samples/sec accuracy=0.517266 top_k_accuracy_5=0.747656 | |
| Epoch[49] Batch [2900] Speed: 1294.41 samples/sec accuracy=0.513164 top_k_accuracy_5=0.743945 | |
| Epoch[49] Batch [3000] Speed: 1294.03 samples/sec accuracy=0.509609 top_k_accuracy_5=0.743008 | |
| Epoch[49] Batch [3100] Speed: 1292.17 samples/sec accuracy=0.508320 top_k_accuracy_5=0.742305 | |
| Epoch[49] Batch [3200] Speed: 1297.85 samples/sec accuracy=0.514336 top_k_accuracy_5=0.749492 | |
| Epoch[49] Batch [3300] Speed: 1286.92 samples/sec accuracy=0.511289 top_k_accuracy_5=0.742461 | |
| Epoch[49] Batch [3400] Speed: 1293.62 samples/sec accuracy=0.519883 top_k_accuracy_5=0.747031 | |
| Epoch[49] Batch [3500] Speed: 1292.08 samples/sec accuracy=0.510508 top_k_accuracy_5=0.741797 | |
| Epoch[49] Batch [3600] Speed: 1295.72 samples/sec accuracy=0.511484 top_k_accuracy_5=0.742773 | |
| Epoch[49] Batch [3700] Speed: 1290.27 samples/sec accuracy=0.509531 top_k_accuracy_5=0.741758 | |
| Epoch[49] Batch [3800] Speed: 1297.06 samples/sec accuracy=0.510508 top_k_accuracy_5=0.742266 | |
| Epoch[49] Batch [3900] Speed: 1296.15 samples/sec accuracy=0.508945 top_k_accuracy_5=0.740625 | |
| Epoch[49] Batch [4000] Speed: 1291.35 samples/sec accuracy=0.517539 top_k_accuracy_5=0.743398 | |
| Epoch[49] Batch [4100] Speed: 1284.83 samples/sec accuracy=0.504883 top_k_accuracy_5=0.740430 | |
| Epoch[49] Batch [4200] Speed: 1286.26 samples/sec accuracy=0.511016 top_k_accuracy_5=0.743398 | |
| Epoch[49] Batch [4300] Speed: 1294.62 samples/sec accuracy=0.513086 top_k_accuracy_5=0.742891 | |
| Epoch[49] Batch [4400] Speed: 1289.92 samples/sec accuracy=0.511875 top_k_accuracy_5=0.744922 | |
| Epoch[49] Batch [4500] Speed: 1288.62 samples/sec accuracy=0.511875 top_k_accuracy_5=0.745977 | |
| Epoch[49] Batch [4600] Speed: 1293.50 samples/sec accuracy=0.510430 top_k_accuracy_5=0.740859 | |
| Epoch[49] Batch [4700] Speed: 1286.42 samples/sec accuracy=0.511172 top_k_accuracy_5=0.743281 | |
| Epoch[49] Batch [4800] Speed: 1283.65 samples/sec accuracy=0.508477 top_k_accuracy_5=0.743555 | |
| Epoch[49] Batch [4900] Speed: 1294.50 samples/sec accuracy=0.517266 top_k_accuracy_5=0.750156 | |
| Epoch[49] Batch [5000] Speed: 1283.16 samples/sec accuracy=0.508906 top_k_accuracy_5=0.742109 | |
| Epoch[49] Train-accuracy=0.502604 | |
| Epoch[49] Train-top_k_accuracy_5=0.730469 | |
| Epoch[49] Time cost=991.185 | |
| Saved checkpoint to "model/resnet18-0050.params" | |
| Epoch[49] Validation-accuracy=0.525280 | |
| Epoch[49] Validation-top_k_accuracy_5=0.761478 | |
| Epoch[50] Batch [100] Speed: 1284.79 samples/sec accuracy=0.513537 top_k_accuracy_5=0.745088 | |
| Epoch[50] Batch [200] Speed: 1293.65 samples/sec accuracy=0.512813 top_k_accuracy_5=0.745625 | |
| Epoch[50] Batch [300] Speed: 1293.97 samples/sec accuracy=0.516250 top_k_accuracy_5=0.750117 | |
| Epoch[50] Batch [400] Speed: 1275.31 samples/sec accuracy=0.509883 top_k_accuracy_5=0.741836 | |
| Epoch[50] Batch [500] Speed: 1295.34 samples/sec accuracy=0.514492 top_k_accuracy_5=0.746172 | |
| Epoch[50] Batch [600] Speed: 1285.20 samples/sec accuracy=0.512773 top_k_accuracy_5=0.744336 | |
| Epoch[50] Batch [700] Speed: 1289.04 samples/sec accuracy=0.507266 top_k_accuracy_5=0.741719 | |
| Epoch[50] Batch [800] Speed: 1287.84 samples/sec accuracy=0.508672 top_k_accuracy_5=0.743359 | |
| Epoch[50] Batch [900] Speed: 1288.29 samples/sec accuracy=0.508906 top_k_accuracy_5=0.740625 | |
| Epoch[50] Batch [1000] Speed: 1278.28 samples/sec accuracy=0.513437 top_k_accuracy_5=0.744375 | |
| Epoch[50] Batch [1100] Speed: 1288.50 samples/sec accuracy=0.508867 top_k_accuracy_5=0.744727 | |
| Epoch[50] Batch [1200] Speed: 1287.44 samples/sec accuracy=0.513750 top_k_accuracy_5=0.744766 | |
| Epoch[50] Batch [1300] Speed: 1290.97 samples/sec accuracy=0.511250 top_k_accuracy_5=0.744062 | |
| Epoch[50] Batch [1400] Speed: 1290.49 samples/sec accuracy=0.511758 top_k_accuracy_5=0.744727 | |
| Epoch[50] Batch [1500] Speed: 1292.34 samples/sec accuracy=0.507070 top_k_accuracy_5=0.740352 | |
| Epoch[50] Batch [1600] Speed: 1276.56 samples/sec accuracy=0.505547 top_k_accuracy_5=0.736641 | |
| Epoch[50] Batch [1700] Speed: 1291.64 samples/sec accuracy=0.508594 top_k_accuracy_5=0.747148 | |
| Epoch[50] Batch [1800] Speed: 1298.11 samples/sec accuracy=0.510391 top_k_accuracy_5=0.744727 | |
| Epoch[50] Batch [1900] Speed: 1285.31 samples/sec accuracy=0.513789 top_k_accuracy_5=0.743906 | |
| Epoch[50] Batch [2000] Speed: 1290.01 samples/sec accuracy=0.512773 top_k_accuracy_5=0.744844 | |
| Epoch[50] Batch [2100] Speed: 1293.69 samples/sec accuracy=0.508359 top_k_accuracy_5=0.740898 | |
| Epoch[50] Batch [2200] Speed: 1294.51 samples/sec accuracy=0.513047 top_k_accuracy_5=0.743906 | |
| Epoch[50] Batch [2300] Speed: 1291.40 samples/sec accuracy=0.507500 top_k_accuracy_5=0.742266 | |
| Epoch[50] Batch [2400] Speed: 1285.88 samples/sec accuracy=0.511641 top_k_accuracy_5=0.741367 | |
| Epoch[50] Batch [2500] Speed: 1290.18 samples/sec accuracy=0.512773 top_k_accuracy_5=0.744766 | |
| Epoch[50] Batch [2600] Speed: 1286.73 samples/sec accuracy=0.507695 top_k_accuracy_5=0.743633 | |
| Epoch[50] Batch [2700] Speed: 1290.02 samples/sec accuracy=0.514375 top_k_accuracy_5=0.745313 | |
| Epoch[50] Batch [2800] Speed: 1285.95 samples/sec accuracy=0.510273 top_k_accuracy_5=0.743320 | |
| Epoch[50] Batch [2900] Speed: 1292.59 samples/sec accuracy=0.511484 top_k_accuracy_5=0.742930 | |
| Epoch[50] Batch [3000] Speed: 1297.58 samples/sec accuracy=0.506992 top_k_accuracy_5=0.743008 | |
| Epoch[50] Batch [3100] Speed: 1294.44 samples/sec accuracy=0.508008 top_k_accuracy_5=0.743594 | |
| Epoch[50] Batch [3200] Speed: 1297.43 samples/sec accuracy=0.514141 top_k_accuracy_5=0.747188 | |
| Epoch[50] Batch [3300] Speed: 1287.11 samples/sec accuracy=0.507500 top_k_accuracy_5=0.744219 | |
| Epoch[50] Batch [3400] Speed: 1281.40 samples/sec accuracy=0.509102 top_k_accuracy_5=0.744141 | |
| Epoch[50] Batch [3500] Speed: 1290.20 samples/sec accuracy=0.514453 top_k_accuracy_5=0.744453 | |
| Epoch[50] Batch [3600] Speed: 1284.33 samples/sec accuracy=0.513008 top_k_accuracy_5=0.745703 | |
| Epoch[50] Batch [3700] Speed: 1285.20 samples/sec accuracy=0.515664 top_k_accuracy_5=0.747305 | |
| Epoch[50] Batch [3800] Speed: 1295.72 samples/sec accuracy=0.513906 top_k_accuracy_5=0.744687 | |
| Epoch[50] Batch [3900] Speed: 1298.60 samples/sec accuracy=0.509023 top_k_accuracy_5=0.742383 | |
| Epoch[50] Batch [4000] Speed: 1295.40 samples/sec accuracy=0.514492 top_k_accuracy_5=0.748125 | |
| Epoch[50] Batch [4100] Speed: 1283.60 samples/sec accuracy=0.507383 top_k_accuracy_5=0.741484 | |
| Epoch[50] Batch [4200] Speed: 1287.77 samples/sec accuracy=0.511836 top_k_accuracy_5=0.745313 | |
| Epoch[50] Batch [4300] Speed: 1284.73 samples/sec accuracy=0.511836 top_k_accuracy_5=0.742734 | |
| Epoch[50] Batch [4400] Speed: 1295.58 samples/sec accuracy=0.515547 top_k_accuracy_5=0.748320 | |
| Epoch[50] Batch [4500] Speed: 1285.02 samples/sec accuracy=0.513555 top_k_accuracy_5=0.744531 | |
| Epoch[50] Batch [4600] Speed: 1293.63 samples/sec accuracy=0.509258 top_k_accuracy_5=0.745078 | |
| Epoch[50] Batch [4700] Speed: 1282.36 samples/sec accuracy=0.513555 top_k_accuracy_5=0.746641 | |
| Epoch[50] Batch [4800] Speed: 1289.27 samples/sec accuracy=0.514766 top_k_accuracy_5=0.745117 | |
| Epoch[50] Batch [4900] Speed: 1289.08 samples/sec accuracy=0.514531 top_k_accuracy_5=0.751172 | |
| Epoch[50] Batch [5000] Speed: 1288.59 samples/sec accuracy=0.505820 top_k_accuracy_5=0.740234 | |
| Epoch[50] Train-accuracy=0.486328 | |
| Epoch[50] Train-top_k_accuracy_5=0.729492 | |
| Epoch[50] Time cost=994.242 | |
| Saved checkpoint to "model/resnet18-0051.params" | |
| Epoch[50] Validation-accuracy=0.525721 | |
| Epoch[50] Validation-top_k_accuracy_5=0.760397 | |
| Epoch[51] Batch [100] Speed: 1273.20 samples/sec accuracy=0.511061 top_k_accuracy_5=0.743541 | |
| Epoch[51] Batch [200] Speed: 1269.05 samples/sec accuracy=0.513437 top_k_accuracy_5=0.748711 | |
| Epoch[51] Batch [300] Speed: 1273.10 samples/sec accuracy=0.513359 top_k_accuracy_5=0.749258 | |
| Epoch[51] Batch [400] Speed: 1297.55 samples/sec accuracy=0.504961 top_k_accuracy_5=0.742969 | |
| Epoch[51] Batch [500] Speed: 1294.54 samples/sec accuracy=0.518164 top_k_accuracy_5=0.746836 | |
| Epoch[51] Batch [600] Speed: 1282.81 samples/sec accuracy=0.513320 top_k_accuracy_5=0.747109 | |
| Epoch[51] Batch [700] Speed: 1278.23 samples/sec accuracy=0.505859 top_k_accuracy_5=0.738906 | |
| Epoch[51] Batch [800] Speed: 1287.52 samples/sec accuracy=0.510625 top_k_accuracy_5=0.742969 | |
| Epoch[51] Batch [900] Speed: 1289.40 samples/sec accuracy=0.509687 top_k_accuracy_5=0.742734 | |
| Epoch[51] Batch [1000] Speed: 1279.97 samples/sec accuracy=0.514727 top_k_accuracy_5=0.746172 | |
| Epoch[51] Batch [1100] Speed: 1279.87 samples/sec accuracy=0.512930 top_k_accuracy_5=0.745469 | |
| Epoch[51] Batch [1200] Speed: 1280.20 samples/sec accuracy=0.509336 top_k_accuracy_5=0.744922 | |
| Epoch[51] Batch [1300] Speed: 1282.47 samples/sec accuracy=0.510820 top_k_accuracy_5=0.741875 | |
| Epoch[51] Batch [1400] Speed: 1288.04 samples/sec accuracy=0.510664 top_k_accuracy_5=0.745664 | |
| Epoch[51] Batch [1500] Speed: 1277.48 samples/sec accuracy=0.512461 top_k_accuracy_5=0.743867 | |
| Epoch[51] Batch [1600] Speed: 1279.06 samples/sec accuracy=0.510312 top_k_accuracy_5=0.745703 | |
| Epoch[51] Batch [1700] Speed: 1288.23 samples/sec accuracy=0.509219 top_k_accuracy_5=0.744336 | |
| Epoch[51] Batch [1800] Speed: 1290.89 samples/sec accuracy=0.511719 top_k_accuracy_5=0.744414 | |
| Epoch[51] Batch [1900] Speed: 1277.14 samples/sec accuracy=0.512109 top_k_accuracy_5=0.742734 | |
| Epoch[51] Batch [2000] Speed: 1282.19 samples/sec accuracy=0.510781 top_k_accuracy_5=0.747188 | |
| Epoch[51] Batch [2100] Speed: 1288.93 samples/sec accuracy=0.507617 top_k_accuracy_5=0.740625 | |
| Epoch[51] Batch [2200] Speed: 1285.39 samples/sec accuracy=0.512617 top_k_accuracy_5=0.747031 | |
| Epoch[51] Batch [2300] Speed: 1281.87 samples/sec accuracy=0.511680 top_k_accuracy_5=0.741992 | |
| Epoch[51] Batch [2400] Speed: 1283.11 samples/sec accuracy=0.513398 top_k_accuracy_5=0.743555 | |
| Epoch[51] Batch [2500] Speed: 1284.78 samples/sec accuracy=0.508711 top_k_accuracy_5=0.739688 | |
| Epoch[51] Batch [2600] Speed: 1285.18 samples/sec accuracy=0.505313 top_k_accuracy_5=0.745039 | |
| Epoch[51] Batch [2700] Speed: 1282.42 samples/sec accuracy=0.507734 top_k_accuracy_5=0.744492 | |
| Epoch[51] Batch [2800] Speed: 1296.52 samples/sec accuracy=0.512656 top_k_accuracy_5=0.744883 | |
| Epoch[51] Batch [2900] Speed: 1280.40 samples/sec accuracy=0.513281 top_k_accuracy_5=0.744844 | |
| Epoch[51] Batch [3000] Speed: 1286.34 samples/sec accuracy=0.503437 top_k_accuracy_5=0.741953 | |
| Epoch[51] Batch [3100] Speed: 1285.64 samples/sec accuracy=0.514766 top_k_accuracy_5=0.744492 | |
| Epoch[51] Batch [3200] Speed: 1287.12 samples/sec accuracy=0.516719 top_k_accuracy_5=0.750352 | |
| Epoch[51] Batch [3300] Speed: 1289.34 samples/sec accuracy=0.510664 top_k_accuracy_5=0.744492 | |
| Epoch[51] Batch [3400] Speed: 1285.40 samples/sec accuracy=0.516289 top_k_accuracy_5=0.743711 | |
| Epoch[51] Batch [3500] Speed: 1289.86 samples/sec accuracy=0.513945 top_k_accuracy_5=0.746055 | |
| Epoch[51] Batch [3600] Speed: 1280.22 samples/sec accuracy=0.508047 top_k_accuracy_5=0.746563 | |
| Epoch[51] Batch [3700] Speed: 1291.85 samples/sec accuracy=0.514570 top_k_accuracy_5=0.743711 | |
| Epoch[51] Batch [3800] Speed: 1283.09 samples/sec accuracy=0.511875 top_k_accuracy_5=0.743828 | |
| Epoch[51] Batch [3900] Speed: 1289.80 samples/sec accuracy=0.510547 top_k_accuracy_5=0.743633 | |
| Epoch[51] Batch [4000] Speed: 1284.45 samples/sec accuracy=0.522266 top_k_accuracy_5=0.750000 | |
| Epoch[51] Batch [4100] Speed: 1287.41 samples/sec accuracy=0.511133 top_k_accuracy_5=0.744023 | |
| Epoch[51] Batch [4200] Speed: 1277.21 samples/sec accuracy=0.511367 top_k_accuracy_5=0.744844 | |
| Epoch[51] Batch [4300] Speed: 1296.92 samples/sec accuracy=0.511484 top_k_accuracy_5=0.744375 | |
| Epoch[51] Batch [4400] Speed: 1285.37 samples/sec accuracy=0.511211 top_k_accuracy_5=0.746016 | |
| Epoch[51] Batch [4500] Speed: 1284.73 samples/sec accuracy=0.515078 top_k_accuracy_5=0.744883 | |
| Epoch[51] Batch [4600] Speed: 1290.61 samples/sec accuracy=0.511406 top_k_accuracy_5=0.747188 | |
| Epoch[51] Batch [4700] Speed: 1289.95 samples/sec accuracy=0.513164 top_k_accuracy_5=0.744766 | |
| Epoch[51] Batch [4800] Speed: 1289.68 samples/sec accuracy=0.509961 top_k_accuracy_5=0.747188 | |
| Epoch[51] Batch [4900] Speed: 1281.91 samples/sec accuracy=0.520430 top_k_accuracy_5=0.749375 | |
| Epoch[51] Batch [5000] Speed: 1290.98 samples/sec accuracy=0.510156 top_k_accuracy_5=0.742969 | |
| Epoch[51] Train-accuracy=0.508789 | |
| Epoch[51] Train-top_k_accuracy_5=0.731445 | |
| Epoch[51] Time cost=997.528 | |
| Saved checkpoint to "model/resnet18-0052.params" | |
| Epoch[51] Validation-accuracy=0.520408 | |
| Epoch[51] Validation-top_k_accuracy_5=0.756278 | |
| Epoch[52] Batch [100] Speed: 1276.22 samples/sec accuracy=0.516940 top_k_accuracy_5=0.747138 | |
| Epoch[52] Batch [200] Speed: 1285.34 samples/sec accuracy=0.516250 top_k_accuracy_5=0.747227 | |
| Epoch[52] Batch [300] Speed: 1286.57 samples/sec accuracy=0.510898 top_k_accuracy_5=0.746211 | |
| Epoch[52] Batch [400] Speed: 1293.93 samples/sec accuracy=0.504961 top_k_accuracy_5=0.741172 | |
| Epoch[52] Batch [500] Speed: 1293.82 samples/sec accuracy=0.510039 top_k_accuracy_5=0.746367 | |
| Epoch[52] Batch [600] Speed: 1282.80 samples/sec accuracy=0.512813 top_k_accuracy_5=0.747539 | |
| Epoch[52] Batch [700] Speed: 1286.43 samples/sec accuracy=0.509336 top_k_accuracy_5=0.740820 | |
| Epoch[52] Batch [800] Speed: 1283.50 samples/sec accuracy=0.506641 top_k_accuracy_5=0.739688 | |
| Epoch[52] Batch [900] Speed: 1287.77 samples/sec accuracy=0.510977 top_k_accuracy_5=0.747578 | |
| Epoch[52] Batch [1000] Speed: 1279.77 samples/sec accuracy=0.512969 top_k_accuracy_5=0.742500 | |
| Epoch[52] Batch [1100] Speed: 1286.16 samples/sec accuracy=0.515742 top_k_accuracy_5=0.743711 | |
| Epoch[52] Batch [1200] Speed: 1283.96 samples/sec accuracy=0.514258 top_k_accuracy_5=0.748398 | |
| Epoch[52] Batch [1300] Speed: 1292.25 samples/sec accuracy=0.507227 top_k_accuracy_5=0.740156 | |
| Epoch[52] Batch [1400] Speed: 1289.64 samples/sec accuracy=0.516367 top_k_accuracy_5=0.744258 | |
| Epoch[52] Batch [1500] Speed: 1292.59 samples/sec accuracy=0.509102 top_k_accuracy_5=0.740313 | |
| Epoch[52] Batch [1600] Speed: 1284.78 samples/sec accuracy=0.509102 top_k_accuracy_5=0.741992 | |
| Epoch[52] Batch [1700] Speed: 1281.78 samples/sec accuracy=0.509258 top_k_accuracy_5=0.744531 | |
| Epoch[52] Batch [1800] Speed: 1289.16 samples/sec accuracy=0.507500 top_k_accuracy_5=0.738750 | |
| Epoch[52] Batch [1900] Speed: 1284.49 samples/sec accuracy=0.511211 top_k_accuracy_5=0.743281 | |
| Epoch[52] Batch [2000] Speed: 1285.42 samples/sec accuracy=0.515273 top_k_accuracy_5=0.745742 | |
| Epoch[52] Batch [2100] Speed: 1281.53 samples/sec accuracy=0.509727 top_k_accuracy_5=0.739688 | |
| Epoch[52] Batch [2200] Speed: 1285.40 samples/sec accuracy=0.511133 top_k_accuracy_5=0.743750 | |
| Epoch[52] Batch [2300] Speed: 1294.62 samples/sec accuracy=0.506719 top_k_accuracy_5=0.741836 | |
| Epoch[52] Batch [2400] Speed: 1298.90 samples/sec accuracy=0.507344 top_k_accuracy_5=0.742227 | |
| Epoch[52] Batch [2500] Speed: 1295.41 samples/sec accuracy=0.513555 top_k_accuracy_5=0.743867 | |
| Epoch[52] Batch [2600] Speed: 1299.37 samples/sec accuracy=0.513281 top_k_accuracy_5=0.750508 | |
| Epoch[52] Batch [2700] Speed: 1291.39 samples/sec accuracy=0.514141 top_k_accuracy_5=0.747852 | |
| Epoch[52] Batch [2800] Speed: 1300.04 samples/sec accuracy=0.514844 top_k_accuracy_5=0.747383 | |
| Epoch[52] Batch [2900] Speed: 1298.85 samples/sec accuracy=0.515586 top_k_accuracy_5=0.747109 | |
| Epoch[52] Batch [3000] Speed: 1297.04 samples/sec accuracy=0.509570 top_k_accuracy_5=0.744883 | |
| Epoch[52] Batch [3100] Speed: 1307.36 samples/sec accuracy=0.507852 top_k_accuracy_5=0.741094 | |
| Epoch[52] Batch [3200] Speed: 1297.75 samples/sec accuracy=0.517891 top_k_accuracy_5=0.750039 | |
| Epoch[52] Batch [3300] Speed: 1289.90 samples/sec accuracy=0.509336 top_k_accuracy_5=0.743125 | |
| Epoch[52] Batch [3400] Speed: 1300.24 samples/sec accuracy=0.509648 top_k_accuracy_5=0.747617 | |
| Epoch[52] Batch [3500] Speed: 1290.25 samples/sec accuracy=0.511563 top_k_accuracy_5=0.746445 | |
| Epoch[52] Batch [3600] Speed: 1294.93 samples/sec accuracy=0.508984 top_k_accuracy_5=0.742852 | |
| Epoch[52] Batch [3700] Speed: 1290.81 samples/sec accuracy=0.508633 top_k_accuracy_5=0.744961 | |
| Epoch[52] Batch [3800] Speed: 1291.29 samples/sec accuracy=0.513359 top_k_accuracy_5=0.743945 | |
| Epoch[52] Batch [3900] Speed: 1302.67 samples/sec accuracy=0.510234 top_k_accuracy_5=0.741953 | |
| Epoch[52] Batch [4000] Speed: 1296.01 samples/sec accuracy=0.520078 top_k_accuracy_5=0.748906 | |
| Epoch[52] Batch [4100] Speed: 1293.52 samples/sec accuracy=0.505898 top_k_accuracy_5=0.741406 | |
| Epoch[52] Batch [4200] Speed: 1299.26 samples/sec accuracy=0.510664 top_k_accuracy_5=0.744531 | |
| Epoch[52] Batch [4300] Speed: 1292.52 samples/sec accuracy=0.513398 top_k_accuracy_5=0.739258 | |
| Epoch[52] Batch [4400] Speed: 1293.48 samples/sec accuracy=0.517305 top_k_accuracy_5=0.748164 | |
| Epoch[52] Batch [4500] Speed: 1291.74 samples/sec accuracy=0.510938 top_k_accuracy_5=0.746992 | |
| Epoch[52] Batch [4600] Speed: 1293.40 samples/sec accuracy=0.508164 top_k_accuracy_5=0.746250 | |
| Epoch[52] Batch [4700] Speed: 1286.26 samples/sec accuracy=0.514687 top_k_accuracy_5=0.745586 | |
| Epoch[52] Batch [4800] Speed: 1297.37 samples/sec accuracy=0.514805 top_k_accuracy_5=0.746016 | |
| Epoch[52] Batch [4900] Speed: 1290.36 samples/sec accuracy=0.516328 top_k_accuracy_5=0.750547 | |
| Epoch[52] Batch [5000] Speed: 1290.32 samples/sec accuracy=0.515312 top_k_accuracy_5=0.746289 | |
| Epoch[52] Train-accuracy=0.510417 | |
| Epoch[52] Train-top_k_accuracy_5=0.740885 | |
| Epoch[52] Time cost=992.526 | |
| Saved checkpoint to "model/resnet18-0053.params" | |
| Epoch[52] Validation-accuracy=0.521154 | |
| Epoch[52] Validation-top_k_accuracy_5=0.758474 | |
| Epoch[53] Batch [100] Speed: 1287.60 samples/sec accuracy=0.509514 top_k_accuracy_5=0.745978 | |
| Epoch[53] Batch [200] Speed: 1285.55 samples/sec accuracy=0.510039 top_k_accuracy_5=0.748828 | |
| Epoch[53] Batch [300] Speed: 1299.73 samples/sec accuracy=0.517695 top_k_accuracy_5=0.748906 | |
| Epoch[53] Batch [400] Speed: 1300.01 samples/sec accuracy=0.507695 top_k_accuracy_5=0.741289 | |
| Epoch[53] Batch [500] Speed: 1292.55 samples/sec accuracy=0.519414 top_k_accuracy_5=0.749375 | |
| Epoch[53] Batch [600] Speed: 1286.57 samples/sec accuracy=0.513867 top_k_accuracy_5=0.744961 | |
| Epoch[53] Batch [700] Speed: 1296.64 samples/sec accuracy=0.510781 top_k_accuracy_5=0.743125 | |
| Epoch[53] Batch [800] Speed: 1282.24 samples/sec accuracy=0.506563 top_k_accuracy_5=0.742031 | |
| Epoch[53] Batch [900] Speed: 1298.12 samples/sec accuracy=0.512070 top_k_accuracy_5=0.745586 | |
| Epoch[53] Batch [1000] Speed: 1298.74 samples/sec accuracy=0.512695 top_k_accuracy_5=0.746836 | |
| Epoch[53] Batch [1100] Speed: 1294.62 samples/sec accuracy=0.513594 top_k_accuracy_5=0.744023 | |
| Epoch[53] Batch [1200] Speed: 1297.36 samples/sec accuracy=0.515156 top_k_accuracy_5=0.742852 | |
| Epoch[53] Batch [1300] Speed: 1301.23 samples/sec accuracy=0.511055 top_k_accuracy_5=0.744570 | |
| Epoch[53] Batch [1400] Speed: 1298.61 samples/sec accuracy=0.513555 top_k_accuracy_5=0.743086 | |
| Epoch[53] Batch [1500] Speed: 1300.02 samples/sec accuracy=0.508594 top_k_accuracy_5=0.741016 | |
| Epoch[53] Batch [1600] Speed: 1302.00 samples/sec accuracy=0.508867 top_k_accuracy_5=0.740703 | |
| Epoch[53] Batch [1700] Speed: 1289.78 samples/sec accuracy=0.510508 top_k_accuracy_5=0.744023 | |
| Epoch[53] Batch [1800] Speed: 1294.13 samples/sec accuracy=0.511211 top_k_accuracy_5=0.742422 | |
| Epoch[53] Batch [1900] Speed: 1294.20 samples/sec accuracy=0.514648 top_k_accuracy_5=0.744727 | |
| Epoch[53] Batch [2000] Speed: 1302.23 samples/sec accuracy=0.511016 top_k_accuracy_5=0.748477 | |
| Epoch[53] Batch [2100] Speed: 1303.40 samples/sec accuracy=0.508594 top_k_accuracy_5=0.742812 | |
| Epoch[53] Batch [2200] Speed: 1295.12 samples/sec accuracy=0.511484 top_k_accuracy_5=0.745977 | |
| Epoch[53] Batch [2300] Speed: 1298.09 samples/sec accuracy=0.509023 top_k_accuracy_5=0.742070 | |
| Epoch[53] Batch [2400] Speed: 1303.84 samples/sec accuracy=0.511563 top_k_accuracy_5=0.743711 | |
| Epoch[53] Batch [2500] Speed: 1293.24 samples/sec accuracy=0.509648 top_k_accuracy_5=0.743828 | |
| Epoch[53] Batch [2600] Speed: 1294.02 samples/sec accuracy=0.514766 top_k_accuracy_5=0.746563 | |
| Epoch[53] Batch [2700] Speed: 1288.82 samples/sec accuracy=0.511797 top_k_accuracy_5=0.741641 | |
| Epoch[53] Batch [2800] Speed: 1290.69 samples/sec accuracy=0.509102 top_k_accuracy_5=0.739766 | |
| Epoch[53] Batch [2900] Speed: 1288.05 samples/sec accuracy=0.512656 top_k_accuracy_5=0.743125 | |
| Epoch[53] Batch [3000] Speed: 1294.41 samples/sec accuracy=0.507422 top_k_accuracy_5=0.743672 | |
| Epoch[53] Batch [3100] Speed: 1287.45 samples/sec accuracy=0.508594 top_k_accuracy_5=0.742812 | |
| Epoch[53] Batch [3200] Speed: 1291.12 samples/sec accuracy=0.515234 top_k_accuracy_5=0.748555 | |
| Epoch[53] Batch [3300] Speed: 1298.11 samples/sec accuracy=0.511523 top_k_accuracy_5=0.743437 | |
| Epoch[53] Batch [3400] Speed: 1299.63 samples/sec accuracy=0.513867 top_k_accuracy_5=0.749258 | |
| Epoch[53] Batch [3500] Speed: 1304.32 samples/sec accuracy=0.516445 top_k_accuracy_5=0.745938 | |
| Epoch[53] Batch [3600] Speed: 1297.97 samples/sec accuracy=0.511914 top_k_accuracy_5=0.743789 | |
| Epoch[53] Batch [3700] Speed: 1297.10 samples/sec accuracy=0.510977 top_k_accuracy_5=0.745664 | |
| Epoch[53] Batch [3800] Speed: 1292.58 samples/sec accuracy=0.513320 top_k_accuracy_5=0.745273 | |
| Epoch[53] Batch [3900] Speed: 1308.15 samples/sec accuracy=0.508086 top_k_accuracy_5=0.742305 | |
| Epoch[53] Batch [4000] Speed: 1296.46 samples/sec accuracy=0.522500 top_k_accuracy_5=0.751328 | |
| Epoch[53] Batch [4100] Speed: 1293.43 samples/sec accuracy=0.512109 top_k_accuracy_5=0.742383 | |
| Epoch[53] Batch [4200] Speed: 1296.06 samples/sec accuracy=0.507148 top_k_accuracy_5=0.747734 | |
| Epoch[53] Batch [4300] Speed: 1293.66 samples/sec accuracy=0.509258 top_k_accuracy_5=0.740820 | |
| Epoch[53] Batch [4400] Speed: 1293.50 samples/sec accuracy=0.509766 top_k_accuracy_5=0.744336 | |
| Epoch[53] Batch [4500] Speed: 1293.33 samples/sec accuracy=0.516289 top_k_accuracy_5=0.746992 | |
| Epoch[53] Batch [4600] Speed: 1298.54 samples/sec accuracy=0.513906 top_k_accuracy_5=0.746211 | |
| Epoch[53] Batch [4700] Speed: 1304.22 samples/sec accuracy=0.515352 top_k_accuracy_5=0.745547 | |
| Epoch[53] Batch [4800] Speed: 1304.12 samples/sec accuracy=0.513398 top_k_accuracy_5=0.745156 | |
| Epoch[53] Batch [4900] Speed: 1292.27 samples/sec accuracy=0.515156 top_k_accuracy_5=0.749453 | |
| Epoch[53] Batch [5000] Speed: 1290.88 samples/sec accuracy=0.512891 top_k_accuracy_5=0.746367 | |
| Epoch[53] Train-accuracy=0.498047 | |
| Epoch[53] Train-top_k_accuracy_5=0.714844 | |
| Epoch[53] Time cost=989.461 | |
| Saved checkpoint to "model/resnet18-0054.params" | |
| Epoch[53] Validation-accuracy=0.519732 | |
| Epoch[53] Validation-top_k_accuracy_5=0.754748 | |
| Epoch[54] Batch [100] Speed: 1284.78 samples/sec accuracy=0.511332 top_k_accuracy_5=0.746751 | |
| Epoch[54] Batch [200] Speed: 1297.38 samples/sec accuracy=0.510430 top_k_accuracy_5=0.747266 | |
| Epoch[54] Batch [300] Speed: 1299.76 samples/sec accuracy=0.516563 top_k_accuracy_5=0.749648 | |
| Epoch[54] Batch [400] Speed: 1299.60 samples/sec accuracy=0.508477 top_k_accuracy_5=0.743906 | |
| Epoch[54] Batch [500] Speed: 1296.56 samples/sec accuracy=0.516875 top_k_accuracy_5=0.749102 | |
| Epoch[54] Batch [600] Speed: 1292.03 samples/sec accuracy=0.510898 top_k_accuracy_5=0.743320 | |
| Epoch[54] Batch [700] Speed: 1298.97 samples/sec accuracy=0.510156 top_k_accuracy_5=0.740742 | |
| Epoch[54] Batch [800] Speed: 1292.22 samples/sec accuracy=0.511445 top_k_accuracy_5=0.745117 | |
| Epoch[54] Batch [900] Speed: 1299.93 samples/sec accuracy=0.513477 top_k_accuracy_5=0.748516 | |
| Epoch[54] Batch [1000] Speed: 1295.04 samples/sec accuracy=0.509961 top_k_accuracy_5=0.745781 | |
| Epoch[54] Batch [1100] Speed: 1299.88 samples/sec accuracy=0.523164 top_k_accuracy_5=0.751172 | |
| Epoch[54] Batch [1200] Speed: 1297.92 samples/sec accuracy=0.514805 top_k_accuracy_5=0.741484 | |
| Epoch[54] Batch [1300] Speed: 1292.15 samples/sec accuracy=0.508203 top_k_accuracy_5=0.739609 | |
| Epoch[54] Batch [1400] Speed: 1292.71 samples/sec accuracy=0.512266 top_k_accuracy_5=0.746992 | |
| Epoch[54] Batch [1500] Speed: 1302.29 samples/sec accuracy=0.506836 top_k_accuracy_5=0.739688 | |
| Epoch[54] Batch [1600] Speed: 1305.56 samples/sec accuracy=0.507305 top_k_accuracy_5=0.740078 | |
| Epoch[54] Batch [1700] Speed: 1292.48 samples/sec accuracy=0.510625 top_k_accuracy_5=0.741797 | |
| Epoch[54] Batch [1800] Speed: 1288.66 samples/sec accuracy=0.514180 top_k_accuracy_5=0.748828 | |
| Epoch[54] Batch [1900] Speed: 1291.34 samples/sec accuracy=0.514297 top_k_accuracy_5=0.744648 | |
| Epoch[54] Batch [2000] Speed: 1294.70 samples/sec accuracy=0.507500 top_k_accuracy_5=0.742461 | |
| Epoch[54] Batch [2100] Speed: 1299.21 samples/sec accuracy=0.508047 top_k_accuracy_5=0.741836 | |
| Epoch[54] Batch [2200] Speed: 1303.84 samples/sec accuracy=0.511133 top_k_accuracy_5=0.742344 | |
| Epoch[54] Batch [2300] Speed: 1295.51 samples/sec accuracy=0.505273 top_k_accuracy_5=0.739453 | |
| Epoch[54] Batch [2400] Speed: 1290.71 samples/sec accuracy=0.511055 top_k_accuracy_5=0.749180 | |
| Epoch[54] Batch [2500] Speed: 1299.03 samples/sec accuracy=0.511680 top_k_accuracy_5=0.744141 | |
| Epoch[54] Batch [2600] Speed: 1301.87 samples/sec accuracy=0.508984 top_k_accuracy_5=0.740977 | |
| Epoch[54] Batch [2700] Speed: 1292.10 samples/sec accuracy=0.512500 top_k_accuracy_5=0.743398 | |
| Epoch[54] Batch [2800] Speed: 1299.74 samples/sec accuracy=0.512734 top_k_accuracy_5=0.745469 | |
| Epoch[54] Batch [2900] Speed: 1291.90 samples/sec accuracy=0.518477 top_k_accuracy_5=0.744180 | |
| Epoch[54] Batch [3000] Speed: 1298.15 samples/sec accuracy=0.510742 top_k_accuracy_5=0.743242 | |
| Epoch[54] Batch [3100] Speed: 1304.87 samples/sec accuracy=0.511602 top_k_accuracy_5=0.743867 | |
| Epoch[54] Batch [3200] Speed: 1292.81 samples/sec accuracy=0.516563 top_k_accuracy_5=0.750664 | |
| Epoch[54] Batch [3300] Speed: 1295.12 samples/sec accuracy=0.511055 top_k_accuracy_5=0.743164 | |
| Epoch[54] Batch [3400] Speed: 1294.42 samples/sec accuracy=0.513437 top_k_accuracy_5=0.746914 | |
| Epoch[54] Batch [3500] Speed: 1292.70 samples/sec accuracy=0.518633 top_k_accuracy_5=0.746563 | |
| Epoch[54] Batch [3600] Speed: 1294.30 samples/sec accuracy=0.509766 top_k_accuracy_5=0.746914 | |
| Epoch[54] Batch [3700] Speed: 1284.49 samples/sec accuracy=0.511797 top_k_accuracy_5=0.745391 | |
| Epoch[54] Batch [3800] Speed: 1290.59 samples/sec accuracy=0.514883 top_k_accuracy_5=0.748125 | |
| Epoch[54] Batch [3900] Speed: 1295.67 samples/sec accuracy=0.511953 top_k_accuracy_5=0.742852 | |
| Epoch[54] Batch [4000] Speed: 1303.77 samples/sec accuracy=0.517383 top_k_accuracy_5=0.747305 | |
| Epoch[54] Batch [4100] Speed: 1299.52 samples/sec accuracy=0.507383 top_k_accuracy_5=0.741641 | |
| Epoch[54] Batch [4200] Speed: 1290.46 samples/sec accuracy=0.507188 top_k_accuracy_5=0.744492 | |
| Epoch[54] Batch [4300] Speed: 1299.59 samples/sec accuracy=0.508906 top_k_accuracy_5=0.749609 | |
| Epoch[54] Batch [4400] Speed: 1307.41 samples/sec accuracy=0.511602 top_k_accuracy_5=0.744961 | |
| Epoch[54] Batch [4500] Speed: 1295.59 samples/sec accuracy=0.513516 top_k_accuracy_5=0.747852 | |
| Epoch[54] Batch [4600] Speed: 1293.42 samples/sec accuracy=0.510469 top_k_accuracy_5=0.745313 | |
| Epoch[54] Batch [4700] Speed: 1296.29 samples/sec accuracy=0.510664 top_k_accuracy_5=0.744023 | |
| Epoch[54] Batch [4800] Speed: 1299.95 samples/sec accuracy=0.512188 top_k_accuracy_5=0.745039 | |
| Epoch[54] Batch [4900] Speed: 1284.39 samples/sec accuracy=0.514102 top_k_accuracy_5=0.743203 | |
| Epoch[54] Batch [5000] Speed: 1288.79 samples/sec accuracy=0.515156 top_k_accuracy_5=0.748711 | |
| Epoch[54] Train-accuracy=0.473958 | |
| Epoch[54] Train-top_k_accuracy_5=0.729167 | |
| Epoch[54] Time cost=989.032 | |
| Saved checkpoint to "model/resnet18-0055.params" | |
| Epoch[54] Validation-accuracy=0.523079 | |
| Epoch[54] Validation-top_k_accuracy_5=0.758291 | |
| Epoch[55] Batch [100] Speed: 1295.12 samples/sec accuracy=0.516128 top_k_accuracy_5=0.749110 | |
| Epoch[55] Batch [200] Speed: 1292.22 samples/sec accuracy=0.512344 top_k_accuracy_5=0.743828 | |
| Epoch[55] Batch [300] Speed: 1298.89 samples/sec accuracy=0.512695 top_k_accuracy_5=0.745234 | |
| Epoch[55] Batch [400] Speed: 1296.31 samples/sec accuracy=0.508555 top_k_accuracy_5=0.743555 | |
| Epoch[55] Batch [500] Speed: 1298.75 samples/sec accuracy=0.513750 top_k_accuracy_5=0.746523 | |
| Epoch[55] Batch [600] Speed: 1305.66 samples/sec accuracy=0.515039 top_k_accuracy_5=0.745664 | |
| Epoch[55] Batch [700] Speed: 1300.13 samples/sec accuracy=0.509258 top_k_accuracy_5=0.741406 | |
| Epoch[55] Batch [800] Speed: 1288.45 samples/sec accuracy=0.510820 top_k_accuracy_5=0.741211 | |
| Epoch[55] Batch [900] Speed: 1292.08 samples/sec accuracy=0.513281 top_k_accuracy_5=0.746367 | |
| Epoch[55] Batch [1000] Speed: 1291.72 samples/sec accuracy=0.514297 top_k_accuracy_5=0.748633 | |
| Epoch[55] Batch [1100] Speed: 1303.06 samples/sec accuracy=0.513555 top_k_accuracy_5=0.748242 | |
| Epoch[55] Batch [1200] Speed: 1295.04 samples/sec accuracy=0.515664 top_k_accuracy_5=0.745000 | |
| Epoch[55] Batch [1300] Speed: 1294.62 samples/sec accuracy=0.509297 top_k_accuracy_5=0.744141 | |
| Epoch[55] Batch [1400] Speed: 1300.92 samples/sec accuracy=0.519687 top_k_accuracy_5=0.751914 | |
| Epoch[55] Batch [1500] Speed: 1293.60 samples/sec accuracy=0.506953 top_k_accuracy_5=0.741602 | |
| Epoch[55] Batch [1600] Speed: 1294.65 samples/sec accuracy=0.508906 top_k_accuracy_5=0.741484 | |
| Epoch[55] Batch [1700] Speed: 1293.08 samples/sec accuracy=0.510469 top_k_accuracy_5=0.748828 | |
| Epoch[55] Batch [1800] Speed: 1293.01 samples/sec accuracy=0.512148 top_k_accuracy_5=0.748125 | |
| Epoch[55] Batch [1900] Speed: 1289.36 samples/sec accuracy=0.510508 top_k_accuracy_5=0.744492 | |
| Epoch[55] Batch [2000] Speed: 1286.21 samples/sec accuracy=0.511758 top_k_accuracy_5=0.743867 | |
| Epoch[55] Batch [2100] Speed: 1299.15 samples/sec accuracy=0.506875 top_k_accuracy_5=0.744648 | |
| Epoch[55] Batch [2200] Speed: 1292.72 samples/sec accuracy=0.515547 top_k_accuracy_5=0.744492 | |
| Epoch[55] Batch [2300] Speed: 1291.33 samples/sec accuracy=0.507461 top_k_accuracy_5=0.739531 | |
| Epoch[55] Batch [2400] Speed: 1298.10 samples/sec accuracy=0.509219 top_k_accuracy_5=0.746602 | |
| Epoch[55] Batch [2500] Speed: 1299.50 samples/sec accuracy=0.514492 top_k_accuracy_5=0.743437 | |
| Epoch[55] Batch [2600] Speed: 1302.63 samples/sec accuracy=0.511953 top_k_accuracy_5=0.746563 | |
| Epoch[55] Batch [2700] Speed: 1289.55 samples/sec accuracy=0.511758 top_k_accuracy_5=0.745898 | |
| Epoch[55] Batch [2800] Speed: 1298.94 samples/sec accuracy=0.514648 top_k_accuracy_5=0.745781 | |
| Epoch[55] Batch [2900] Speed: 1292.97 samples/sec accuracy=0.511563 top_k_accuracy_5=0.743320 | |
| Epoch[55] Batch [3000] Speed: 1296.55 samples/sec accuracy=0.507930 top_k_accuracy_5=0.744062 | |
| Epoch[55] Batch [3100] Speed: 1298.83 samples/sec accuracy=0.504492 top_k_accuracy_5=0.741055 | |
| Epoch[55] Batch [3200] Speed: 1289.59 samples/sec accuracy=0.516172 top_k_accuracy_5=0.747969 | |
| Epoch[55] Batch [3300] Speed: 1291.58 samples/sec accuracy=0.514180 top_k_accuracy_5=0.747500 | |
| Epoch[55] Batch [3400] Speed: 1298.79 samples/sec accuracy=0.518047 top_k_accuracy_5=0.749727 | |
| Epoch[55] Batch [3500] Speed: 1291.95 samples/sec accuracy=0.520508 top_k_accuracy_5=0.746602 | |
| Epoch[55] Batch [3600] Speed: 1283.77 samples/sec accuracy=0.515859 top_k_accuracy_5=0.750273 | |
| Epoch[55] Batch [3700] Speed: 1287.84 samples/sec accuracy=0.511172 top_k_accuracy_5=0.748047 | |
| Epoch[55] Batch [3800] Speed: 1293.88 samples/sec accuracy=0.512656 top_k_accuracy_5=0.742227 | |
| Epoch[55] Batch [3900] Speed: 1301.26 samples/sec accuracy=0.511094 top_k_accuracy_5=0.740742 | |
| Epoch[55] Batch [4000] Speed: 1298.79 samples/sec accuracy=0.517617 top_k_accuracy_5=0.750742 | |
| Epoch[55] Batch [4100] Speed: 1299.63 samples/sec accuracy=0.508672 top_k_accuracy_5=0.741992 | |
| Epoch[55] Batch [4200] Speed: 1298.95 samples/sec accuracy=0.512344 top_k_accuracy_5=0.745273 | |
| Epoch[55] Batch [4300] Speed: 1304.62 samples/sec accuracy=0.509219 top_k_accuracy_5=0.747812 | |
| Epoch[55] Batch [4400] Speed: 1297.14 samples/sec accuracy=0.513750 top_k_accuracy_5=0.747812 | |
| Epoch[55] Batch [4500] Speed: 1324.26 samples/sec accuracy=0.512305 top_k_accuracy_5=0.747812 | |
| Epoch[55] Batch [4600] Speed: 1305.45 samples/sec accuracy=0.515664 top_k_accuracy_5=0.744922 | |
| Epoch[55] Batch [4700] Speed: 1302.87 samples/sec accuracy=0.514844 top_k_accuracy_5=0.746602 | |
| Epoch[55] Batch [4800] Speed: 1309.05 samples/sec accuracy=0.510469 top_k_accuracy_5=0.745859 | |
| Epoch[55] Batch [4900] Speed: 1312.78 samples/sec accuracy=0.518828 top_k_accuracy_5=0.751602 | |
| Epoch[55] Batch [5000] Speed: 1310.57 samples/sec accuracy=0.513477 top_k_accuracy_5=0.749727 | |
| Epoch[55] Train-accuracy=0.500000 | |
| Epoch[55] Train-top_k_accuracy_5=0.722656 | |
| Epoch[55] Time cost=988.031 | |
| Saved checkpoint to "model/resnet18-0056.params" | |
| Epoch[55] Validation-accuracy=0.519351 | |
| Epoch[55] Validation-top_k_accuracy_5=0.755469 | |
| Epoch[56] Batch [100] Speed: 1310.07 samples/sec accuracy=0.513498 top_k_accuracy_5=0.747022 | |
| Epoch[56] Batch [200] Speed: 1305.09 samples/sec accuracy=0.512422 top_k_accuracy_5=0.746406 | |
| Epoch[56] Batch [300] Speed: 1305.96 samples/sec accuracy=0.514531 top_k_accuracy_5=0.749453 | |
| Epoch[56] Batch [400] Speed: 1304.46 samples/sec accuracy=0.507227 top_k_accuracy_5=0.744844 | |
| Epoch[56] Batch [500] Speed: 1311.15 samples/sec accuracy=0.515469 top_k_accuracy_5=0.749375 | |
| Epoch[56] Batch [600] Speed: 1304.40 samples/sec accuracy=0.510859 top_k_accuracy_5=0.747891 | |
| Epoch[56] Batch [700] Speed: 1307.01 samples/sec accuracy=0.511602 top_k_accuracy_5=0.742969 | |
| Epoch[56] Batch [800] Speed: 1309.79 samples/sec accuracy=0.510820 top_k_accuracy_5=0.743164 | |
| Epoch[56] Batch [900] Speed: 1304.45 samples/sec accuracy=0.509375 top_k_accuracy_5=0.743125 | |
| Epoch[56] Batch [1000] Speed: 1307.88 samples/sec accuracy=0.509883 top_k_accuracy_5=0.745625 | |
| Epoch[56] Batch [1100] Speed: 1310.08 samples/sec accuracy=0.517031 top_k_accuracy_5=0.748008 | |
| Epoch[56] Batch [1200] Speed: 1297.46 samples/sec accuracy=0.511523 top_k_accuracy_5=0.742539 | |
| Epoch[56] Batch [1300] Speed: 1304.39 samples/sec accuracy=0.508203 top_k_accuracy_5=0.739219 | |
| Epoch[56] Batch [1400] Speed: 1308.02 samples/sec accuracy=0.514492 top_k_accuracy_5=0.746055 | |
| Epoch[56] Batch [1500] Speed: 1305.20 samples/sec accuracy=0.510469 top_k_accuracy_5=0.744531 | |
| Epoch[56] Batch [1600] Speed: 1305.00 samples/sec accuracy=0.509336 top_k_accuracy_5=0.745273 | |
| Epoch[56] Batch [1700] Speed: 1301.30 samples/sec accuracy=0.509922 top_k_accuracy_5=0.745508 | |
| Epoch[56] Batch [1800] Speed: 1305.27 samples/sec accuracy=0.508242 top_k_accuracy_5=0.746953 | |
| Epoch[56] Batch [1900] Speed: 1297.72 samples/sec accuracy=0.514805 top_k_accuracy_5=0.745547 | |
| Epoch[56] Batch [2000] Speed: 1302.72 samples/sec accuracy=0.513164 top_k_accuracy_5=0.746484 | |
| Epoch[56] Batch [2100] Speed: 1298.00 samples/sec accuracy=0.514883 top_k_accuracy_5=0.743516 | |
| Epoch[56] Batch [2200] Speed: 1300.96 samples/sec accuracy=0.515586 top_k_accuracy_5=0.749219 | |
| Epoch[56] Batch [2300] Speed: 1302.41 samples/sec accuracy=0.510039 top_k_accuracy_5=0.744258 | |
| Epoch[56] Batch [2400] Speed: 1302.86 samples/sec accuracy=0.509844 top_k_accuracy_5=0.741797 | |
| Epoch[56] Batch [2500] Speed: 1306.89 samples/sec accuracy=0.511133 top_k_accuracy_5=0.747461 | |
| Epoch[56] Batch [2600] Speed: 1300.24 samples/sec accuracy=0.516250 top_k_accuracy_5=0.747383 | |
| Epoch[56] Batch [2700] Speed: 1302.88 samples/sec accuracy=0.510469 top_k_accuracy_5=0.742578 | |
| Epoch[56] Batch [2800] Speed: 1300.22 samples/sec accuracy=0.517109 top_k_accuracy_5=0.746836 | |
| Epoch[56] Batch [2900] Speed: 1302.59 samples/sec accuracy=0.518359 top_k_accuracy_5=0.751406 | |
| Epoch[56] Batch [3000] Speed: 1295.36 samples/sec accuracy=0.509687 top_k_accuracy_5=0.749492 | |
| Epoch[56] Batch [3100] Speed: 1298.97 samples/sec accuracy=0.510430 top_k_accuracy_5=0.742148 | |
| Epoch[56] Batch [3200] Speed: 1298.00 samples/sec accuracy=0.518477 top_k_accuracy_5=0.753086 | |
| Epoch[56] Batch [3300] Speed: 1302.45 samples/sec accuracy=0.511016 top_k_accuracy_5=0.740820 | |
| Epoch[56] Batch [3400] Speed: 1301.75 samples/sec accuracy=0.514258 top_k_accuracy_5=0.747305 | |
| Epoch[56] Batch [3500] Speed: 1298.79 samples/sec accuracy=0.516094 top_k_accuracy_5=0.746797 | |
| Epoch[56] Batch [3600] Speed: 1298.65 samples/sec accuracy=0.509258 top_k_accuracy_5=0.748789 | |
| Epoch[56] Batch [3700] Speed: 1297.17 samples/sec accuracy=0.512930 top_k_accuracy_5=0.745273 | |
| Epoch[56] Batch [3800] Speed: 1297.62 samples/sec accuracy=0.512031 top_k_accuracy_5=0.740938 | |
| Epoch[56] Batch [3900] Speed: 1298.49 samples/sec accuracy=0.506797 top_k_accuracy_5=0.740234 | |
| Epoch[56] Batch [4000] Speed: 1293.99 samples/sec accuracy=0.522227 top_k_accuracy_5=0.748750 | |
| Epoch[56] Batch [4100] Speed: 1299.51 samples/sec accuracy=0.507500 top_k_accuracy_5=0.743086 | |
| Epoch[56] Batch [4200] Speed: 1307.35 samples/sec accuracy=0.511484 top_k_accuracy_5=0.743125 | |
| Epoch[56] Batch [4300] Speed: 1297.19 samples/sec accuracy=0.508867 top_k_accuracy_5=0.744375 | |
| Epoch[56] Batch [4400] Speed: 1308.54 samples/sec accuracy=0.515820 top_k_accuracy_5=0.746680 | |
| Epoch[56] Batch [4500] Speed: 1312.22 samples/sec accuracy=0.515234 top_k_accuracy_5=0.748359 | |
| Epoch[56] Batch [4600] Speed: 1307.87 samples/sec accuracy=0.510078 top_k_accuracy_5=0.743945 | |
| Epoch[56] Batch [4700] Speed: 1316.76 samples/sec accuracy=0.515859 top_k_accuracy_5=0.747109 | |
| Epoch[56] Batch [4800] Speed: 1302.29 samples/sec accuracy=0.513437 top_k_accuracy_5=0.748945 | |
| Epoch[56] Batch [4900] Speed: 1304.21 samples/sec accuracy=0.516680 top_k_accuracy_5=0.748437 | |
| Epoch[56] Batch [5000] Speed: 1300.48 samples/sec accuracy=0.511445 top_k_accuracy_5=0.741875 | |
| Epoch[56] Train-accuracy=0.527344 | |
| Epoch[56] Train-top_k_accuracy_5=0.738281 | |
| Epoch[56] Time cost=983.216 | |
| Saved checkpoint to "model/resnet18-0057.params" | |
| Epoch[56] Validation-accuracy=0.519872 | |
| Epoch[56] Validation-top_k_accuracy_5=0.756671 | |
| Epoch[57] Batch [100] Speed: 1321.67 samples/sec accuracy=0.515354 top_k_accuracy_5=0.751740 | |
| Epoch[57] Batch [200] Speed: 1318.95 samples/sec accuracy=0.515039 top_k_accuracy_5=0.744609 | |
| Epoch[57] Batch [300] Speed: 1311.18 samples/sec accuracy=0.516250 top_k_accuracy_5=0.749180 | |
| Epoch[57] Batch [400] Speed: 1311.98 samples/sec accuracy=0.510234 top_k_accuracy_5=0.745117 | |
| Epoch[57] Batch [500] Speed: 1313.46 samples/sec accuracy=0.515664 top_k_accuracy_5=0.744219 | |
| Epoch[57] Batch [600] Speed: 1309.10 samples/sec accuracy=0.513672 top_k_accuracy_5=0.745703 | |
| Epoch[57] Batch [700] Speed: 1312.87 samples/sec accuracy=0.510859 top_k_accuracy_5=0.747227 | |
| Epoch[57] Batch [800] Speed: 1314.08 samples/sec accuracy=0.512734 top_k_accuracy_5=0.743047 | |
| Epoch[57] Batch [900] Speed: 1308.91 samples/sec accuracy=0.505547 top_k_accuracy_5=0.742891 | |
| Epoch[57] Batch [1000] Speed: 1319.23 samples/sec accuracy=0.517383 top_k_accuracy_5=0.747891 | |
| Epoch[57] Batch [1100] Speed: 1320.86 samples/sec accuracy=0.516953 top_k_accuracy_5=0.747266 | |
| Epoch[57] Batch [1200] Speed: 1323.35 samples/sec accuracy=0.514492 top_k_accuracy_5=0.744766 | |
| Epoch[57] Batch [1300] Speed: 1319.57 samples/sec accuracy=0.512266 top_k_accuracy_5=0.741680 | |
| Epoch[57] Batch [1400] Speed: 1315.84 samples/sec accuracy=0.516914 top_k_accuracy_5=0.749180 | |
| Epoch[57] Batch [1500] Speed: 1316.79 samples/sec accuracy=0.509805 top_k_accuracy_5=0.745508 | |
| Epoch[57] Batch [1600] Speed: 1320.15 samples/sec accuracy=0.510352 top_k_accuracy_5=0.744883 | |
| Epoch[57] Batch [1700] Speed: 1321.65 samples/sec accuracy=0.517734 top_k_accuracy_5=0.750977 | |
| Epoch[57] Batch [1800] Speed: 1315.13 samples/sec accuracy=0.510039 top_k_accuracy_5=0.744961 | |
| Epoch[57] Batch [1900] Speed: 1318.68 samples/sec accuracy=0.514023 top_k_accuracy_5=0.745664 | |
| Epoch[57] Batch [2000] Speed: 1316.58 samples/sec accuracy=0.515938 top_k_accuracy_5=0.749023 | |
| Epoch[57] Batch [2100] Speed: 1311.31 samples/sec accuracy=0.510703 top_k_accuracy_5=0.742773 | |
| Epoch[57] Batch [2200] Speed: 1316.79 samples/sec accuracy=0.516055 top_k_accuracy_5=0.742734 | |
| Epoch[57] Batch [2300] Speed: 1321.09 samples/sec accuracy=0.511250 top_k_accuracy_5=0.741797 | |
| Epoch[57] Batch [2400] Speed: 1320.23 samples/sec accuracy=0.510508 top_k_accuracy_5=0.743594 | |
| Epoch[57] Batch [2500] Speed: 1322.79 samples/sec accuracy=0.514258 top_k_accuracy_5=0.747930 | |
| Epoch[57] Batch [2600] Speed: 1314.06 samples/sec accuracy=0.513164 top_k_accuracy_5=0.747109 | |
| Epoch[57] Batch [2700] Speed: 1307.70 samples/sec accuracy=0.511758 top_k_accuracy_5=0.742812 | |
| Epoch[57] Batch [2800] Speed: 1305.26 samples/sec accuracy=0.513945 top_k_accuracy_5=0.747539 | |
| Epoch[57] Batch [2900] Speed: 1315.59 samples/sec accuracy=0.516992 top_k_accuracy_5=0.744258 | |
| Epoch[57] Batch [3000] Speed: 1313.61 samples/sec accuracy=0.510664 top_k_accuracy_5=0.745078 | |
| Epoch[57] Batch [3100] Speed: 1308.34 samples/sec accuracy=0.515430 top_k_accuracy_5=0.748906 | |
| Epoch[57] Batch [3200] Speed: 1305.94 samples/sec accuracy=0.519180 top_k_accuracy_5=0.751445 | |
| Epoch[57] Batch [3300] Speed: 1308.64 samples/sec accuracy=0.518516 top_k_accuracy_5=0.745469 | |
| Epoch[57] Batch [3400] Speed: 1318.83 samples/sec accuracy=0.512422 top_k_accuracy_5=0.748594 | |
| Epoch[57] Batch [3500] Speed: 1300.97 samples/sec accuracy=0.516602 top_k_accuracy_5=0.747031 | |
| Epoch[57] Batch [3600] Speed: 1319.03 samples/sec accuracy=0.510195 top_k_accuracy_5=0.744414 | |
| Epoch[57] Batch [3700] Speed: 1315.02 samples/sec accuracy=0.514023 top_k_accuracy_5=0.750938 | |
| Epoch[57] Batch [3800] Speed: 1305.34 samples/sec accuracy=0.515312 top_k_accuracy_5=0.746602 | |
| Epoch[57] Batch [3900] Speed: 1312.79 samples/sec accuracy=0.513047 top_k_accuracy_5=0.743398 | |
| Epoch[57] Batch [4000] Speed: 1303.15 samples/sec accuracy=0.521758 top_k_accuracy_5=0.753594 | |
| Epoch[57] Batch [4100] Speed: 1312.09 samples/sec accuracy=0.508477 top_k_accuracy_5=0.744297 | |
| Epoch[57] Batch [4200] Speed: 1310.65 samples/sec accuracy=0.512969 top_k_accuracy_5=0.748555 | |
| Epoch[57] Batch [4300] Speed: 1313.77 samples/sec accuracy=0.512969 top_k_accuracy_5=0.742695 | |
| Epoch[57] Batch [4400] Speed: 1305.27 samples/sec accuracy=0.516367 top_k_accuracy_5=0.749336 | |
| Epoch[57] Batch [4500] Speed: 1307.25 samples/sec accuracy=0.517031 top_k_accuracy_5=0.746680 | |
| Epoch[57] Batch [4600] Speed: 1309.85 samples/sec accuracy=0.514141 top_k_accuracy_5=0.749844 | |
| Epoch[57] Batch [4700] Speed: 1307.75 samples/sec accuracy=0.517148 top_k_accuracy_5=0.747734 | |
| Epoch[57] Batch [4800] Speed: 1311.84 samples/sec accuracy=0.510078 top_k_accuracy_5=0.746133 | |
| Epoch[57] Batch [4900] Speed: 1310.79 samples/sec accuracy=0.519961 top_k_accuracy_5=0.750156 | |
| Epoch[57] Batch [5000] Speed: 1305.77 samples/sec accuracy=0.514023 top_k_accuracy_5=0.745898 | |
| Epoch[57] Train-accuracy=0.511719 | |
| Epoch[57] Train-top_k_accuracy_5=0.728516 | |
| Epoch[57] Time cost=975.836 | |
| Saved checkpoint to "model/resnet18-0058.params" | |
| Epoch[57] Validation-accuracy=0.517837 | |
| Epoch[57] Validation-top_k_accuracy_5=0.754285 | |
| Epoch[58] Batch [100] Speed: 1296.23 samples/sec accuracy=0.519570 top_k_accuracy_5=0.752862 | |
| Epoch[58] Batch [200] Speed: 1311.56 samples/sec accuracy=0.514805 top_k_accuracy_5=0.746992 | |
| Epoch[58] Batch [300] Speed: 1310.28 samples/sec accuracy=0.516563 top_k_accuracy_5=0.751094 | |
| Epoch[58] Batch [400] Speed: 1312.60 samples/sec accuracy=0.506758 top_k_accuracy_5=0.742773 | |
| Epoch[58] Batch [500] Speed: 1298.78 samples/sec accuracy=0.517617 top_k_accuracy_5=0.747031 | |
| Epoch[58] Batch [600] Speed: 1311.49 samples/sec accuracy=0.511406 top_k_accuracy_5=0.744883 | |
| Epoch[58] Batch [700] Speed: 1302.88 samples/sec accuracy=0.512539 top_k_accuracy_5=0.745898 | |
| Epoch[58] Batch [800] Speed: 1304.53 samples/sec accuracy=0.510898 top_k_accuracy_5=0.746055 | |
| Epoch[58] Batch [900] Speed: 1302.37 samples/sec accuracy=0.515547 top_k_accuracy_5=0.746445 | |
| Epoch[58] Batch [1000] Speed: 1307.54 samples/sec accuracy=0.513359 top_k_accuracy_5=0.746133 | |
| Epoch[58] Batch [1100] Speed: 1317.95 samples/sec accuracy=0.515781 top_k_accuracy_5=0.745234 | |
| Epoch[58] Batch [1200] Speed: 1309.24 samples/sec accuracy=0.517383 top_k_accuracy_5=0.751094 | |
| Epoch[58] Batch [1300] Speed: 1314.73 samples/sec accuracy=0.513789 top_k_accuracy_5=0.741719 | |
| Epoch[58] Batch [1400] Speed: 1313.54 samples/sec accuracy=0.514805 top_k_accuracy_5=0.745000 | |
| Epoch[58] Batch [1500] Speed: 1309.35 samples/sec accuracy=0.511250 top_k_accuracy_5=0.746328 | |
| Epoch[58] Batch [1600] Speed: 1313.63 samples/sec accuracy=0.509531 top_k_accuracy_5=0.743906 | |
| Epoch[58] Batch [1700] Speed: 1310.12 samples/sec accuracy=0.517344 top_k_accuracy_5=0.748125 | |
| Epoch[58] Batch [1800] Speed: 1317.95 samples/sec accuracy=0.514492 top_k_accuracy_5=0.744492 | |
| Epoch[58] Batch [1900] Speed: 1313.01 samples/sec accuracy=0.519023 top_k_accuracy_5=0.749258 | |
| Epoch[58] Batch [2000] Speed: 1310.42 samples/sec accuracy=0.512539 top_k_accuracy_5=0.743281 | |
| Epoch[58] Batch [2100] Speed: 1306.27 samples/sec accuracy=0.515898 top_k_accuracy_5=0.746719 | |
| Epoch[58] Batch [2200] Speed: 1311.08 samples/sec accuracy=0.515547 top_k_accuracy_5=0.747305 | |
| Epoch[58] Batch [2300] Speed: 1304.64 samples/sec accuracy=0.513477 top_k_accuracy_5=0.743164 | |
| Epoch[58] Batch [2400] Speed: 1312.84 samples/sec accuracy=0.512695 top_k_accuracy_5=0.744687 | |
| Epoch[58] Batch [2500] Speed: 1310.68 samples/sec accuracy=0.510938 top_k_accuracy_5=0.745352 | |
| Epoch[58] Batch [2600] Speed: 1306.53 samples/sec accuracy=0.513711 top_k_accuracy_5=0.749336 | |
| Epoch[58] Batch [2700] Speed: 1317.04 samples/sec accuracy=0.517305 top_k_accuracy_5=0.746328 | |
| Epoch[58] Batch [2800] Speed: 1311.93 samples/sec accuracy=0.519375 top_k_accuracy_5=0.747070 | |
| Epoch[58] Batch [2900] Speed: 1302.98 samples/sec accuracy=0.519805 top_k_accuracy_5=0.749609 | |
| Epoch[58] Batch [3000] Speed: 1311.71 samples/sec accuracy=0.507617 top_k_accuracy_5=0.744961 | |
| Epoch[58] Batch [3100] Speed: 1318.48 samples/sec accuracy=0.511016 top_k_accuracy_5=0.745273 | |
| Epoch[58] Batch [3200] Speed: 1317.48 samples/sec accuracy=0.518437 top_k_accuracy_5=0.749062 | |
| Epoch[58] Batch [3300] Speed: 1302.35 samples/sec accuracy=0.516992 top_k_accuracy_5=0.744570 | |
| Epoch[58] Batch [3400] Speed: 1315.68 samples/sec accuracy=0.515625 top_k_accuracy_5=0.749531 | |
| Epoch[58] Batch [3500] Speed: 1298.83 samples/sec accuracy=0.514727 top_k_accuracy_5=0.744375 | |
| Epoch[58] Batch [3600] Speed: 1310.59 samples/sec accuracy=0.519922 top_k_accuracy_5=0.751680 | |
| Epoch[58] Batch [3700] Speed: 1312.10 samples/sec accuracy=0.513789 top_k_accuracy_5=0.746836 | |
| Epoch[58] Batch [3800] Speed: 1310.79 samples/sec accuracy=0.515469 top_k_accuracy_5=0.749414 | |
| Epoch[58] Batch [3900] Speed: 1311.98 samples/sec accuracy=0.513242 top_k_accuracy_5=0.745469 | |
| Epoch[58] Batch [4000] Speed: 1316.20 samples/sec accuracy=0.516680 top_k_accuracy_5=0.748398 | |
| Epoch[58] Batch [4100] Speed: 1301.87 samples/sec accuracy=0.512852 top_k_accuracy_5=0.746641 | |
| Epoch[58] Batch [4200] Speed: 1308.40 samples/sec accuracy=0.509453 top_k_accuracy_5=0.745664 | |
| Epoch[58] Batch [4300] Speed: 1307.56 samples/sec accuracy=0.511055 top_k_accuracy_5=0.747383 | |
| Epoch[58] Batch [4400] Speed: 1310.38 samples/sec accuracy=0.517344 top_k_accuracy_5=0.747930 | |
| Epoch[58] Batch [4500] Speed: 1315.58 samples/sec accuracy=0.513828 top_k_accuracy_5=0.745820 | |
| Epoch[58] Batch [4600] Speed: 1317.38 samples/sec accuracy=0.513281 top_k_accuracy_5=0.746445 | |
| Epoch[58] Batch [4700] Speed: 1314.62 samples/sec accuracy=0.514336 top_k_accuracy_5=0.744492 | |
| Epoch[58] Batch [4800] Speed: 1319.86 samples/sec accuracy=0.513789 top_k_accuracy_5=0.745938 | |
| Epoch[58] Batch [4900] Speed: 1319.44 samples/sec accuracy=0.513125 top_k_accuracy_5=0.746719 | |
| Epoch[58] Batch [5000] Speed: 1313.03 samples/sec accuracy=0.516641 top_k_accuracy_5=0.745703 | |
| Epoch[58] Train-accuracy=0.490885 | |
| Epoch[58] Train-top_k_accuracy_5=0.750000 | |
| Epoch[58] Time cost=977.771 | |
| Saved checkpoint to "model/resnet18-0059.params" | |
| Epoch[58] Validation-accuracy=0.525280 | |
| Epoch[58] Validation-top_k_accuracy_5=0.761118 | |
| Epoch[59] Batch [100] Speed: 1307.47 samples/sec accuracy=0.518835 top_k_accuracy_5=0.750541 | |
| Epoch[59] Batch [200] Speed: 1310.03 samples/sec accuracy=0.517734 top_k_accuracy_5=0.744453 | |
| Epoch[59] Batch [300] Speed: 1316.48 samples/sec accuracy=0.517813 top_k_accuracy_5=0.750156 | |
| Epoch[59] Batch [400] Speed: 1319.45 samples/sec accuracy=0.511875 top_k_accuracy_5=0.742812 | |
| Epoch[59] Batch [500] Speed: 1310.50 samples/sec accuracy=0.511953 top_k_accuracy_5=0.746914 | |
| Epoch[59] Batch [600] Speed: 1312.77 samples/sec accuracy=0.516992 top_k_accuracy_5=0.750156 | |
| Epoch[59] Batch [700] Speed: 1305.94 samples/sec accuracy=0.511875 top_k_accuracy_5=0.743516 | |
| Epoch[59] Batch [800] Speed: 1308.40 samples/sec accuracy=0.512422 top_k_accuracy_5=0.742812 | |
| Epoch[59] Batch [900] Speed: 1313.20 samples/sec accuracy=0.506289 top_k_accuracy_5=0.738359 | |
| Epoch[59] Batch [1000] Speed: 1309.98 samples/sec accuracy=0.514648 top_k_accuracy_5=0.745781 | |
| Epoch[59] Batch [1100] Speed: 1315.60 samples/sec accuracy=0.518398 top_k_accuracy_5=0.749180 | |
| Epoch[59] Batch [1200] Speed: 1306.19 samples/sec accuracy=0.512227 top_k_accuracy_5=0.745469 | |
| Epoch[59] Batch [1300] Speed: 1308.83 samples/sec accuracy=0.512539 top_k_accuracy_5=0.747656 | |
| Epoch[59] Batch [1400] Speed: 1304.16 samples/sec accuracy=0.515508 top_k_accuracy_5=0.748164 | |
| Epoch[59] Batch [1500] Speed: 1310.21 samples/sec accuracy=0.512617 top_k_accuracy_5=0.743906 | |
| Epoch[59] Batch [1600] Speed: 1310.91 samples/sec accuracy=0.511719 top_k_accuracy_5=0.745859 | |
| Epoch[59] Batch [1700] Speed: 1305.57 samples/sec accuracy=0.515586 top_k_accuracy_5=0.749258 | |
| Epoch[59] Batch [1800] Speed: 1312.08 samples/sec accuracy=0.516914 top_k_accuracy_5=0.747617 | |
| Epoch[59] Batch [1900] Speed: 1314.97 samples/sec accuracy=0.515039 top_k_accuracy_5=0.748594 | |
| Epoch[59] Batch [2000] Speed: 1313.17 samples/sec accuracy=0.512070 top_k_accuracy_5=0.746484 | |
| Epoch[59] Batch [2100] Speed: 1306.74 samples/sec accuracy=0.507773 top_k_accuracy_5=0.743437 | |
| Epoch[59] Batch [2200] Speed: 1316.27 samples/sec accuracy=0.515508 top_k_accuracy_5=0.746445 | |
| Epoch[59] Batch [2300] Speed: 1316.59 samples/sec accuracy=0.508906 top_k_accuracy_5=0.741875 | |
| Epoch[59] Batch [2400] Speed: 1308.21 samples/sec accuracy=0.509570 top_k_accuracy_5=0.745898 | |
| Epoch[59] Batch [2500] Speed: 1311.87 samples/sec accuracy=0.509805 top_k_accuracy_5=0.748047 | |
| Epoch[59] Batch [2600] Speed: 1314.96 samples/sec accuracy=0.515273 top_k_accuracy_5=0.750273 | |
| Epoch[59] Batch [2700] Speed: 1306.58 samples/sec accuracy=0.514492 top_k_accuracy_5=0.747070 | |
| Epoch[59] Batch [2800] Speed: 1305.17 samples/sec accuracy=0.518633 top_k_accuracy_5=0.750117 | |
| Epoch[59] Batch [2900] Speed: 1307.23 samples/sec accuracy=0.519531 top_k_accuracy_5=0.749922 | |
| Epoch[59] Batch [3000] Speed: 1314.30 samples/sec accuracy=0.508945 top_k_accuracy_5=0.743984 | |
| Epoch[59] Batch [3100] Speed: 1311.77 samples/sec accuracy=0.513672 top_k_accuracy_5=0.747070 | |
| Epoch[59] Batch [3200] Speed: 1308.00 samples/sec accuracy=0.512891 top_k_accuracy_5=0.748828 | |
| Epoch[59] Batch [3300] Speed: 1298.20 samples/sec accuracy=0.514375 top_k_accuracy_5=0.744570 | |
| Epoch[59] Batch [3400] Speed: 1305.67 samples/sec accuracy=0.511680 top_k_accuracy_5=0.746016 | |
| Epoch[59] Batch [3500] Speed: 1300.32 samples/sec accuracy=0.516289 top_k_accuracy_5=0.743516 | |
| Epoch[59] Batch [3600] Speed: 1299.30 samples/sec accuracy=0.513359 top_k_accuracy_5=0.747773 | |
| Epoch[59] Batch [3700] Speed: 1313.70 samples/sec accuracy=0.515352 top_k_accuracy_5=0.746211 | |
| Epoch[59] Batch [3800] Speed: 1311.72 samples/sec accuracy=0.514961 top_k_accuracy_5=0.747773 | |
| Epoch[59] Batch [3900] Speed: 1309.47 samples/sec accuracy=0.511992 top_k_accuracy_5=0.741719 | |
| Epoch[59] Batch [4000] Speed: 1311.56 samples/sec accuracy=0.520234 top_k_accuracy_5=0.752734 | |
| Epoch[59] Batch [4100] Speed: 1308.90 samples/sec accuracy=0.510352 top_k_accuracy_5=0.742812 | |
| Epoch[59] Batch [4200] Speed: 1307.12 samples/sec accuracy=0.518867 top_k_accuracy_5=0.750195 | |
| Epoch[59] Batch [4300] Speed: 1310.15 samples/sec accuracy=0.512070 top_k_accuracy_5=0.744766 | |
| Epoch[59] Batch [4400] Speed: 1300.65 samples/sec accuracy=0.517266 top_k_accuracy_5=0.747617 | |
| Epoch[59] Batch [4500] Speed: 1301.51 samples/sec accuracy=0.522734 top_k_accuracy_5=0.752969 | |
| Epoch[59] Batch [4600] Speed: 1305.41 samples/sec accuracy=0.515000 top_k_accuracy_5=0.747891 | |
| Epoch[59] Batch [4700] Speed: 1305.13 samples/sec accuracy=0.514687 top_k_accuracy_5=0.748047 | |
| Epoch[59] Batch [4800] Speed: 1301.79 samples/sec accuracy=0.512930 top_k_accuracy_5=0.746094 | |
| Epoch[59] Batch [4900] Speed: 1305.34 samples/sec accuracy=0.515508 top_k_accuracy_5=0.750078 | |
| Update[300241]: Change learning rate to 1.00000e-03 | |
| Epoch[59] Batch [5000] Speed: 1307.39 samples/sec accuracy=0.512344 top_k_accuracy_5=0.746211 | |
| Epoch[59] Train-accuracy=0.493164 | |
| Epoch[59] Train-top_k_accuracy_5=0.710938 | |
| Epoch[59] Time cost=979.152 | |
| Saved checkpoint to "model/resnet18-0060.params" | |
| Epoch[59] Validation-accuracy=0.528866 | |
| Epoch[59] Validation-top_k_accuracy_5=0.761979 | |
| Epoch[60] Batch [100] Speed: 1293.09 samples/sec accuracy=0.518758 top_k_accuracy_5=0.751856 | |
| Epoch[60] Batch [200] Speed: 1309.04 samples/sec accuracy=0.527969 top_k_accuracy_5=0.758945 | |
| Epoch[60] Batch [300] Speed: 1305.36 samples/sec accuracy=0.534883 top_k_accuracy_5=0.763711 | |
| Epoch[60] Batch [400] Speed: 1305.83 samples/sec accuracy=0.536719 top_k_accuracy_5=0.763320 | |
| Epoch[60] Batch [500] Speed: 1304.40 samples/sec accuracy=0.550547 top_k_accuracy_5=0.769883 | |
| Epoch[60] Batch [600] Speed: 1308.05 samples/sec accuracy=0.545273 top_k_accuracy_5=0.765898 | |
| Epoch[60] Batch [700] Speed: 1303.83 samples/sec accuracy=0.538008 top_k_accuracy_5=0.766758 | |
| Epoch[60] Batch [800] Speed: 1304.11 samples/sec accuracy=0.535547 top_k_accuracy_5=0.763789 | |
| Epoch[60] Batch [900] Speed: 1316.61 samples/sec accuracy=0.544687 top_k_accuracy_5=0.767813 | |
| Epoch[60] Batch [1000] Speed: 1313.35 samples/sec accuracy=0.544492 top_k_accuracy_5=0.770898 | |
| Epoch[60] Batch [1100] Speed: 1298.12 samples/sec accuracy=0.549570 top_k_accuracy_5=0.773633 | |
| Epoch[60] Batch [1200] Speed: 1305.65 samples/sec accuracy=0.548750 top_k_accuracy_5=0.772422 | |
| Epoch[60] Batch [1300] Speed: 1310.87 samples/sec accuracy=0.544375 top_k_accuracy_5=0.772852 | |
| Epoch[60] Batch [1400] Speed: 1305.28 samples/sec accuracy=0.549648 top_k_accuracy_5=0.774570 | |
| Epoch[60] Batch [1500] Speed: 1317.31 samples/sec accuracy=0.548086 top_k_accuracy_5=0.771016 | |
| Epoch[60] Batch [1600] Speed: 1306.92 samples/sec accuracy=0.551250 top_k_accuracy_5=0.774961 | |
| Epoch[60] Batch [1700] Speed: 1310.16 samples/sec accuracy=0.550352 top_k_accuracy_5=0.775391 | |
| Epoch[60] Batch [1800] Speed: 1312.12 samples/sec accuracy=0.551680 top_k_accuracy_5=0.772461 | |
| Epoch[60] Batch [1900] Speed: 1309.43 samples/sec accuracy=0.550352 top_k_accuracy_5=0.774336 | |
| Epoch[60] Batch [2000] Speed: 1307.63 samples/sec accuracy=0.555625 top_k_accuracy_5=0.776055 | |
| Epoch[60] Batch [2100] Speed: 1305.59 samples/sec accuracy=0.548750 top_k_accuracy_5=0.775000 | |
| Epoch[60] Batch [2200] Speed: 1302.71 samples/sec accuracy=0.554375 top_k_accuracy_5=0.773320 | |
| Epoch[60] Batch [2300] Speed: 1293.83 samples/sec accuracy=0.552188 top_k_accuracy_5=0.776484 | |
| Epoch[60] Batch [2400] Speed: 1299.75 samples/sec accuracy=0.550859 top_k_accuracy_5=0.775156 | |
| Epoch[60] Batch [2500] Speed: 1307.21 samples/sec accuracy=0.553047 top_k_accuracy_5=0.778672 | |
| Epoch[60] Batch [2600] Speed: 1314.59 samples/sec accuracy=0.555820 top_k_accuracy_5=0.777617 | |
| Epoch[60] Batch [2700] Speed: 1305.85 samples/sec accuracy=0.552930 top_k_accuracy_5=0.777500 | |
| Epoch[60] Batch [2800] Speed: 1305.01 samples/sec accuracy=0.552344 top_k_accuracy_5=0.781719 | |
| Epoch[60] Batch [2900] Speed: 1307.73 samples/sec accuracy=0.560664 top_k_accuracy_5=0.780508 | |
| Epoch[60] Batch [3000] Speed: 1308.13 samples/sec accuracy=0.551797 top_k_accuracy_5=0.778711 | |
| Epoch[60] Batch [3100] Speed: 1294.10 samples/sec accuracy=0.553359 top_k_accuracy_5=0.777891 | |
| Epoch[60] Batch [3200] Speed: 1300.72 samples/sec accuracy=0.558672 top_k_accuracy_5=0.781875 | |
| Epoch[60] Batch [3300] Speed: 1299.88 samples/sec accuracy=0.558555 top_k_accuracy_5=0.778945 | |
| Epoch[60] Batch [3400] Speed: 1304.20 samples/sec accuracy=0.557187 top_k_accuracy_5=0.780312 | |
| Epoch[60] Batch [3500] Speed: 1301.99 samples/sec accuracy=0.564648 top_k_accuracy_5=0.781523 | |
| Epoch[60] Batch [3600] Speed: 1298.48 samples/sec accuracy=0.558633 top_k_accuracy_5=0.780469 | |
| Epoch[60] Batch [3700] Speed: 1295.50 samples/sec accuracy=0.559648 top_k_accuracy_5=0.781719 | |
| Epoch[60] Batch [3800] Speed: 1303.39 samples/sec accuracy=0.561992 top_k_accuracy_5=0.783047 | |
| Epoch[60] Batch [3900] Speed: 1309.42 samples/sec accuracy=0.557227 top_k_accuracy_5=0.778633 | |
| Epoch[60] Batch [4000] Speed: 1300.10 samples/sec accuracy=0.563086 top_k_accuracy_5=0.782852 | |
| Epoch[60] Batch [4100] Speed: 1311.27 samples/sec accuracy=0.558633 top_k_accuracy_5=0.780469 | |
| Epoch[60] Batch [4200] Speed: 1312.09 samples/sec accuracy=0.556914 top_k_accuracy_5=0.783438 | |
| Epoch[60] Batch [4300] Speed: 1304.00 samples/sec accuracy=0.559414 top_k_accuracy_5=0.780703 | |
| Epoch[60] Batch [4400] Speed: 1298.09 samples/sec accuracy=0.567500 top_k_accuracy_5=0.786758 | |
| Epoch[60] Batch [4500] Speed: 1306.76 samples/sec accuracy=0.566836 top_k_accuracy_5=0.787148 | |
| Epoch[60] Batch [4600] Speed: 1301.58 samples/sec accuracy=0.563906 top_k_accuracy_5=0.787617 | |
| Epoch[60] Batch [4700] Speed: 1299.13 samples/sec accuracy=0.561992 top_k_accuracy_5=0.783633 | |
| Epoch[60] Batch [4800] Speed: 1303.37 samples/sec accuracy=0.562773 top_k_accuracy_5=0.787813 | |
| Epoch[60] Batch [4900] Speed: 1306.50 samples/sec accuracy=0.570898 top_k_accuracy_5=0.788984 | |
| Epoch[60] Batch [5000] Speed: 1297.38 samples/sec accuracy=0.561680 top_k_accuracy_5=0.783789 | |
| Epoch[60] Train-accuracy=0.541992 | |
| Epoch[60] Train-top_k_accuracy_5=0.751953 | |
| Epoch[60] Time cost=982.336 | |
| Saved checkpoint to "model/resnet18-0061.params" | |
| Epoch[60] Validation-accuracy=0.562779 | |
| Epoch[60] Validation-top_k_accuracy_5=0.790776 | |
| Epoch[61] Batch [100] Speed: 1300.84 samples/sec accuracy=0.564356 top_k_accuracy_5=0.783687 | |
| Epoch[61] Batch [200] Speed: 1303.46 samples/sec accuracy=0.555508 top_k_accuracy_5=0.779258 | |
| Epoch[61] Batch [300] Speed: 1300.90 samples/sec accuracy=0.560586 top_k_accuracy_5=0.786445 | |
| Epoch[61] Batch [400] Speed: 1299.04 samples/sec accuracy=0.549375 top_k_accuracy_5=0.777891 | |
| Epoch[61] Batch [500] Speed: 1304.71 samples/sec accuracy=0.563906 top_k_accuracy_5=0.781523 | |
| Epoch[61] Batch [600] Speed: 1305.71 samples/sec accuracy=0.556406 top_k_accuracy_5=0.775586 | |
| Epoch[61] Batch [700] Speed: 1309.66 samples/sec accuracy=0.552813 top_k_accuracy_5=0.778984 | |
| Epoch[61] Batch [800] Speed: 1309.11 samples/sec accuracy=0.554883 top_k_accuracy_5=0.776328 | |
| Epoch[61] Batch [900] Speed: 1310.14 samples/sec accuracy=0.558008 top_k_accuracy_5=0.781094 | |
| Epoch[61] Batch [1000] Speed: 1298.40 samples/sec accuracy=0.559102 top_k_accuracy_5=0.780547 | |
| Epoch[61] Batch [1100] Speed: 1310.04 samples/sec accuracy=0.563086 top_k_accuracy_5=0.781055 | |
| Epoch[61] Batch [1200] Speed: 1308.25 samples/sec accuracy=0.558789 top_k_accuracy_5=0.778750 | |
| Epoch[61] Batch [1300] Speed: 1307.57 samples/sec accuracy=0.552617 top_k_accuracy_5=0.775820 | |
| Epoch[61] Batch [1400] Speed: 1302.34 samples/sec accuracy=0.558906 top_k_accuracy_5=0.782148 | |
| Epoch[61] Batch [1500] Speed: 1306.57 samples/sec accuracy=0.557539 top_k_accuracy_5=0.780977 | |
| Epoch[61] Batch [1600] Speed: 1304.15 samples/sec accuracy=0.556953 top_k_accuracy_5=0.779961 | |
| Epoch[61] Batch [1700] Speed: 1305.79 samples/sec accuracy=0.558828 top_k_accuracy_5=0.779883 | |
| Epoch[61] Batch [1800] Speed: 1305.51 samples/sec accuracy=0.555195 top_k_accuracy_5=0.783984 | |
| Epoch[61] Batch [1900] Speed: 1302.18 samples/sec accuracy=0.560312 top_k_accuracy_5=0.783281 | |
| Epoch[61] Batch [2000] Speed: 1321.18 samples/sec accuracy=0.560273 top_k_accuracy_5=0.779922 | |
| Epoch[61] Batch [2100] Speed: 1314.20 samples/sec accuracy=0.559141 top_k_accuracy_5=0.782344 | |
| Epoch[61] Batch [2200] Speed: 1310.58 samples/sec accuracy=0.560000 top_k_accuracy_5=0.782188 | |
| Epoch[61] Batch [2300] Speed: 1302.39 samples/sec accuracy=0.555586 top_k_accuracy_5=0.782695 | |
| Epoch[61] Batch [2400] Speed: 1319.15 samples/sec accuracy=0.560586 top_k_accuracy_5=0.785352 | |
| Epoch[61] Batch [2500] Speed: 1306.42 samples/sec accuracy=0.557773 top_k_accuracy_5=0.779687 | |
| Epoch[61] Batch [2600] Speed: 1313.69 samples/sec accuracy=0.560937 top_k_accuracy_5=0.784922 | |
| Epoch[61] Batch [2700] Speed: 1308.73 samples/sec accuracy=0.556055 top_k_accuracy_5=0.781094 | |
| Epoch[61] Batch [2800] Speed: 1307.53 samples/sec accuracy=0.558477 top_k_accuracy_5=0.782500 | |
| Epoch[61] Batch [2900] Speed: 1301.03 samples/sec accuracy=0.563516 top_k_accuracy_5=0.783516 | |
| Epoch[61] Batch [3000] Speed: 1309.29 samples/sec accuracy=0.559297 top_k_accuracy_5=0.783711 | |
| Epoch[61] Batch [3100] Speed: 1310.25 samples/sec accuracy=0.562383 top_k_accuracy_5=0.781211 | |
| Epoch[61] Batch [3200] Speed: 1303.76 samples/sec accuracy=0.567578 top_k_accuracy_5=0.788828 | |
| Epoch[61] Batch [3300] Speed: 1304.49 samples/sec accuracy=0.564883 top_k_accuracy_5=0.785117 | |
| Epoch[61] Batch [3400] Speed: 1309.40 samples/sec accuracy=0.566016 top_k_accuracy_5=0.786250 | |
| Epoch[61] Batch [3500] Speed: 1309.98 samples/sec accuracy=0.567227 top_k_accuracy_5=0.785469 | |
| Epoch[61] Batch [3600] Speed: 1313.23 samples/sec accuracy=0.561797 top_k_accuracy_5=0.783086 | |
| Epoch[61] Batch [3700] Speed: 1304.94 samples/sec accuracy=0.564961 top_k_accuracy_5=0.788203 | |
| Epoch[61] Batch [3800] Speed: 1310.38 samples/sec accuracy=0.566602 top_k_accuracy_5=0.788672 | |
| Epoch[61] Batch [3900] Speed: 1300.63 samples/sec accuracy=0.566016 top_k_accuracy_5=0.784961 | |
| Epoch[61] Batch [4000] Speed: 1308.28 samples/sec accuracy=0.573438 top_k_accuracy_5=0.791328 | |
| Epoch[61] Batch [4100] Speed: 1311.95 samples/sec accuracy=0.564336 top_k_accuracy_5=0.786602 | |
| Epoch[61] Batch [4200] Speed: 1307.65 samples/sec accuracy=0.565312 top_k_accuracy_5=0.784062 | |
| Epoch[61] Batch [4300] Speed: 1303.28 samples/sec accuracy=0.565898 top_k_accuracy_5=0.786289 | |
| Epoch[61] Batch [4400] Speed: 1310.44 samples/sec accuracy=0.566914 top_k_accuracy_5=0.790312 | |
| Epoch[61] Batch [4500] Speed: 1301.78 samples/sec accuracy=0.569375 top_k_accuracy_5=0.791875 | |
| Epoch[61] Batch [4600] Speed: 1297.15 samples/sec accuracy=0.568711 top_k_accuracy_5=0.787383 | |
| Epoch[61] Batch [4700] Speed: 1312.99 samples/sec accuracy=0.568633 top_k_accuracy_5=0.786133 | |
| Epoch[61] Batch [4800] Speed: 1314.45 samples/sec accuracy=0.567773 top_k_accuracy_5=0.790430 | |
| Epoch[61] Batch [4900] Speed: 1305.26 samples/sec accuracy=0.573477 top_k_accuracy_5=0.793555 | |
| Epoch[61] Batch [5000] Speed: 1304.68 samples/sec accuracy=0.568047 top_k_accuracy_5=0.787656 | |
| Epoch[61] Train-accuracy=0.562500 | |
| Epoch[61] Train-top_k_accuracy_5=0.782552 | |
| Epoch[61] Time cost=980.595 | |
| Saved checkpoint to "model/resnet18-0062.params" | |
| Epoch[61] Validation-accuracy=0.566707 | |
| Epoch[61] Validation-top_k_accuracy_5=0.792408 | |
| Epoch[62] Batch [100] Speed: 1292.14 samples/sec accuracy=0.561030 top_k_accuracy_5=0.783764 | |
| Epoch[62] Batch [200] Speed: 1295.84 samples/sec accuracy=0.560273 top_k_accuracy_5=0.783555 | |
| Epoch[62] Batch [300] Speed: 1308.52 samples/sec accuracy=0.563281 top_k_accuracy_5=0.783711 | |
| Epoch[62] Batch [400] Speed: 1294.31 samples/sec accuracy=0.559766 top_k_accuracy_5=0.781680 | |
| Epoch[62] Batch [500] Speed: 1300.04 samples/sec accuracy=0.563477 top_k_accuracy_5=0.783242 | |
| Epoch[62] Batch [600] Speed: 1314.41 samples/sec accuracy=0.564336 top_k_accuracy_5=0.783672 | |
| Epoch[62] Batch [700] Speed: 1302.23 samples/sec accuracy=0.561133 top_k_accuracy_5=0.784141 | |
| Epoch[62] Batch [800] Speed: 1296.68 samples/sec accuracy=0.557695 top_k_accuracy_5=0.779375 | |
| Epoch[62] Batch [900] Speed: 1301.09 samples/sec accuracy=0.564922 top_k_accuracy_5=0.784648 | |
| Epoch[62] Batch [1000] Speed: 1298.53 samples/sec accuracy=0.560352 top_k_accuracy_5=0.780547 | |
| Epoch[62] Batch [1100] Speed: 1305.51 samples/sec accuracy=0.566641 top_k_accuracy_5=0.786016 | |
| Epoch[62] Batch [1200] Speed: 1307.00 samples/sec accuracy=0.564727 top_k_accuracy_5=0.788945 | |
| Epoch[62] Batch [1300] Speed: 1302.55 samples/sec accuracy=0.562266 top_k_accuracy_5=0.784102 | |
| Epoch[62] Batch [1400] Speed: 1306.31 samples/sec accuracy=0.565898 top_k_accuracy_5=0.788320 | |
| Epoch[62] Batch [1500] Speed: 1301.17 samples/sec accuracy=0.566094 top_k_accuracy_5=0.782617 | |
| Epoch[62] Batch [1600] Speed: 1305.83 samples/sec accuracy=0.561992 top_k_accuracy_5=0.783281 | |
| Epoch[62] Batch [1700] Speed: 1310.22 samples/sec accuracy=0.565586 top_k_accuracy_5=0.784258 | |
| Epoch[62] Batch [1800] Speed: 1305.06 samples/sec accuracy=0.565039 top_k_accuracy_5=0.785391 | |
| Epoch[62] Batch [1900] Speed: 1303.67 samples/sec accuracy=0.564922 top_k_accuracy_5=0.781914 | |
| Epoch[62] Batch [2000] Speed: 1311.27 samples/sec accuracy=0.568047 top_k_accuracy_5=0.788320 | |
| Epoch[62] Batch [2100] Speed: 1304.51 samples/sec accuracy=0.560430 top_k_accuracy_5=0.783477 | |
| Epoch[62] Batch [2200] Speed: 1303.57 samples/sec accuracy=0.571562 top_k_accuracy_5=0.787617 | |
| Epoch[62] Batch [2300] Speed: 1301.49 samples/sec accuracy=0.564414 top_k_accuracy_5=0.786680 | |
| Epoch[62] Batch [2400] Speed: 1303.34 samples/sec accuracy=0.566055 top_k_accuracy_5=0.786406 | |
| Epoch[62] Batch [2500] Speed: 1307.35 samples/sec accuracy=0.564883 top_k_accuracy_5=0.787031 | |
| Epoch[62] Batch [2600] Speed: 1319.03 samples/sec accuracy=0.564883 top_k_accuracy_5=0.784492 | |
| Epoch[62] Batch [2700] Speed: 1309.84 samples/sec accuracy=0.561992 top_k_accuracy_5=0.779766 | |
| Epoch[62] Batch [2800] Speed: 1311.43 samples/sec accuracy=0.564219 top_k_accuracy_5=0.785508 | |
| Epoch[62] Batch [2900] Speed: 1302.06 samples/sec accuracy=0.570117 top_k_accuracy_5=0.789219 | |
| Epoch[62] Batch [3000] Speed: 1295.73 samples/sec accuracy=0.560234 top_k_accuracy_5=0.783047 | |
| Epoch[62] Batch [3100] Speed: 1316.99 samples/sec accuracy=0.564531 top_k_accuracy_5=0.782109 | |
| Epoch[62] Batch [3200] Speed: 1302.11 samples/sec accuracy=0.571367 top_k_accuracy_5=0.790664 | |
| Epoch[62] Batch [3300] Speed: 1294.94 samples/sec accuracy=0.564336 top_k_accuracy_5=0.783672 | |
| Epoch[62] Batch [3400] Speed: 1312.95 samples/sec accuracy=0.568789 top_k_accuracy_5=0.788789 | |
| Epoch[62] Batch [3500] Speed: 1309.84 samples/sec accuracy=0.568516 top_k_accuracy_5=0.783906 | |
| Epoch[62] Batch [3600] Speed: 1301.54 samples/sec accuracy=0.568008 top_k_accuracy_5=0.788711 | |
| Epoch[62] Batch [3700] Speed: 1304.19 samples/sec accuracy=0.569414 top_k_accuracy_5=0.786172 | |
| Epoch[62] Batch [3800] Speed: 1307.91 samples/sec accuracy=0.567500 top_k_accuracy_5=0.789609 | |
| Epoch[62] Batch [3900] Speed: 1305.59 samples/sec accuracy=0.569961 top_k_accuracy_5=0.784883 | |
| Epoch[62] Batch [4000] Speed: 1299.19 samples/sec accuracy=0.574727 top_k_accuracy_5=0.792773 | |
| Epoch[62] Batch [4100] Speed: 1312.31 samples/sec accuracy=0.563047 top_k_accuracy_5=0.783242 | |
| Epoch[62] Batch [4200] Speed: 1308.00 samples/sec accuracy=0.565391 top_k_accuracy_5=0.791367 | |
| Epoch[62] Batch [4300] Speed: 1305.94 samples/sec accuracy=0.565820 top_k_accuracy_5=0.785977 | |
| Epoch[62] Batch [4400] Speed: 1303.45 samples/sec accuracy=0.565664 top_k_accuracy_5=0.785117 | |
| Epoch[62] Batch [4500] Speed: 1311.19 samples/sec accuracy=0.569531 top_k_accuracy_5=0.789180 | |
| Epoch[62] Batch [4600] Speed: 1311.94 samples/sec accuracy=0.570000 top_k_accuracy_5=0.789570 | |
| Epoch[62] Batch [4700] Speed: 1306.26 samples/sec accuracy=0.570781 top_k_accuracy_5=0.788633 | |
| Epoch[62] Batch [4800] Speed: 1299.97 samples/sec accuracy=0.568398 top_k_accuracy_5=0.789023 | |
| Epoch[62] Batch [4900] Speed: 1308.44 samples/sec accuracy=0.579336 top_k_accuracy_5=0.795352 | |
| Epoch[62] Batch [5000] Speed: 1295.83 samples/sec accuracy=0.571445 top_k_accuracy_5=0.790000 | |
| Epoch[62] Train-accuracy=0.545898 | |
| Epoch[62] Train-top_k_accuracy_5=0.753906 | |
| Epoch[62] Time cost=982.409 | |
| Saved checkpoint to "model/resnet18-0063.params" | |
| Epoch[62] Validation-accuracy=0.568289 | |
| Epoch[62] Validation-top_k_accuracy_5=0.794391 | |
| Epoch[63] Batch [100] Speed: 1291.51 samples/sec accuracy=0.567025 top_k_accuracy_5=0.785195 | |
| Epoch[63] Batch [200] Speed: 1304.17 samples/sec accuracy=0.568203 top_k_accuracy_5=0.789961 | |
| Epoch[63] Batch [300] Speed: 1296.06 samples/sec accuracy=0.564375 top_k_accuracy_5=0.787773 | |
| Epoch[63] Batch [400] Speed: 1294.17 samples/sec accuracy=0.564219 top_k_accuracy_5=0.783398 | |
| Epoch[63] Batch [500] Speed: 1283.13 samples/sec accuracy=0.567852 top_k_accuracy_5=0.788711 | |
| Epoch[63] Batch [600] Speed: 1293.60 samples/sec accuracy=0.567422 top_k_accuracy_5=0.786484 | |
| Epoch[63] Batch [700] Speed: 1283.44 samples/sec accuracy=0.561914 top_k_accuracy_5=0.785664 | |
| Epoch[63] Batch [800] Speed: 1289.47 samples/sec accuracy=0.558945 top_k_accuracy_5=0.785781 | |
| Epoch[63] Batch [900] Speed: 1291.69 samples/sec accuracy=0.566914 top_k_accuracy_5=0.784414 | |
| Epoch[63] Batch [1000] Speed: 1302.65 samples/sec accuracy=0.563281 top_k_accuracy_5=0.786563 | |
| Epoch[63] Batch [1100] Speed: 1296.33 samples/sec accuracy=0.569219 top_k_accuracy_5=0.793125 | |
| Epoch[63] Batch [1200] Speed: 1298.48 samples/sec accuracy=0.567227 top_k_accuracy_5=0.787891 | |
| Epoch[63] Batch [1300] Speed: 1286.96 samples/sec accuracy=0.564883 top_k_accuracy_5=0.784648 | |
| Epoch[63] Batch [1400] Speed: 1295.21 samples/sec accuracy=0.570977 top_k_accuracy_5=0.787422 | |
| Epoch[63] Batch [1500] Speed: 1286.53 samples/sec accuracy=0.563594 top_k_accuracy_5=0.787227 | |
| Epoch[63] Batch [1600] Speed: 1295.69 samples/sec accuracy=0.561758 top_k_accuracy_5=0.786484 | |
| Epoch[63] Batch [1700] Speed: 1286.80 samples/sec accuracy=0.566445 top_k_accuracy_5=0.787266 | |
| Epoch[63] Batch [1800] Speed: 1298.70 samples/sec accuracy=0.565937 top_k_accuracy_5=0.788516 | |
| Epoch[63] Batch [1900] Speed: 1302.87 samples/sec accuracy=0.568672 top_k_accuracy_5=0.789883 | |
| Epoch[63] Batch [2000] Speed: 1307.18 samples/sec accuracy=0.570742 top_k_accuracy_5=0.792539 | |
| Epoch[63] Batch [2100] Speed: 1306.67 samples/sec accuracy=0.565039 top_k_accuracy_5=0.786875 | |
| Epoch[63] Batch [2200] Speed: 1300.29 samples/sec accuracy=0.571016 top_k_accuracy_5=0.789961 | |
| Epoch[63] Batch [2300] Speed: 1308.89 samples/sec accuracy=0.562305 top_k_accuracy_5=0.785430 | |
| Epoch[63] Batch [2400] Speed: 1293.33 samples/sec accuracy=0.566562 top_k_accuracy_5=0.790742 | |
| Epoch[63] Batch [2500] Speed: 1299.96 samples/sec accuracy=0.570312 top_k_accuracy_5=0.791836 | |
| Epoch[63] Batch [2600] Speed: 1301.30 samples/sec accuracy=0.568047 top_k_accuracy_5=0.787773 | |
| Epoch[63] Batch [2700] Speed: 1298.87 samples/sec accuracy=0.567070 top_k_accuracy_5=0.788086 | |
| Epoch[63] Batch [2800] Speed: 1309.50 samples/sec accuracy=0.572227 top_k_accuracy_5=0.790273 | |
| Epoch[63] Batch [2900] Speed: 1312.49 samples/sec accuracy=0.571602 top_k_accuracy_5=0.790937 | |
| Epoch[63] Batch [3000] Speed: 1301.60 samples/sec accuracy=0.562617 top_k_accuracy_5=0.787227 | |
| Epoch[63] Batch [3100] Speed: 1303.17 samples/sec accuracy=0.564453 top_k_accuracy_5=0.784375 | |
| Epoch[63] Batch [3200] Speed: 1302.72 samples/sec accuracy=0.572070 top_k_accuracy_5=0.793047 | |
| Epoch[63] Batch [3300] Speed: 1299.74 samples/sec accuracy=0.567344 top_k_accuracy_5=0.785000 | |
| Epoch[63] Batch [3400] Speed: 1302.12 samples/sec accuracy=0.570078 top_k_accuracy_5=0.789375 | |
| Epoch[63] Batch [3500] Speed: 1304.05 samples/sec accuracy=0.574492 top_k_accuracy_5=0.792383 | |
| Epoch[63] Batch [3600] Speed: 1297.15 samples/sec accuracy=0.573555 top_k_accuracy_5=0.794492 | |
| Epoch[63] Batch [3700] Speed: 1297.70 samples/sec accuracy=0.567617 top_k_accuracy_5=0.790000 | |
| Epoch[63] Batch [3800] Speed: 1299.93 samples/sec accuracy=0.569727 top_k_accuracy_5=0.790937 | |
| Epoch[63] Batch [3900] Speed: 1297.00 samples/sec accuracy=0.569492 top_k_accuracy_5=0.788750 | |
| Epoch[63] Batch [4000] Speed: 1297.04 samples/sec accuracy=0.579141 top_k_accuracy_5=0.794258 | |
| Epoch[63] Batch [4100] Speed: 1298.10 samples/sec accuracy=0.571797 top_k_accuracy_5=0.790078 | |
| Epoch[63] Batch [4200] Speed: 1294.10 samples/sec accuracy=0.567578 top_k_accuracy_5=0.790508 | |
| Epoch[63] Batch [4300] Speed: 1300.36 samples/sec accuracy=0.566602 top_k_accuracy_5=0.788594 | |
| Epoch[63] Batch [4400] Speed: 1295.98 samples/sec accuracy=0.576680 top_k_accuracy_5=0.795898 | |
| Epoch[63] Batch [4500] Speed: 1296.61 samples/sec accuracy=0.573555 top_k_accuracy_5=0.794687 | |
| Epoch[63] Batch [4600] Speed: 1299.59 samples/sec accuracy=0.573789 top_k_accuracy_5=0.792266 | |
| Epoch[63] Batch [4700] Speed: 1295.75 samples/sec accuracy=0.572422 top_k_accuracy_5=0.792773 | |
| Epoch[63] Batch [4800] Speed: 1302.94 samples/sec accuracy=0.572617 top_k_accuracy_5=0.796250 | |
| Epoch[63] Batch [4900] Speed: 1305.62 samples/sec accuracy=0.579922 top_k_accuracy_5=0.798281 | |
| Epoch[63] Batch [5000] Speed: 1287.59 samples/sec accuracy=0.570742 top_k_accuracy_5=0.791094 | |
| Epoch[63] Train-accuracy=0.545573 | |
| Epoch[63] Train-top_k_accuracy_5=0.759115 | |
| Epoch[63] Time cost=987.371 | |
| Saved checkpoint to "model/resnet18-0064.params" | |
| Epoch[63] Validation-accuracy=0.570733 | |
| Epoch[63] Validation-top_k_accuracy_5=0.794912 | |
| Epoch[64] Batch [100] Speed: 1298.16 samples/sec accuracy=0.565749 top_k_accuracy_5=0.789488 | |
| Epoch[64] Batch [200] Speed: 1297.21 samples/sec accuracy=0.566445 top_k_accuracy_5=0.787695 | |
| Epoch[64] Batch [300] Speed: 1308.99 samples/sec accuracy=0.565742 top_k_accuracy_5=0.789141 | |
| Epoch[64] Batch [400] Speed: 1306.34 samples/sec accuracy=0.567695 top_k_accuracy_5=0.786914 | |
| Epoch[64] Batch [500] Speed: 1311.02 samples/sec accuracy=0.574219 top_k_accuracy_5=0.791016 | |
| Epoch[64] Batch [600] Speed: 1316.45 samples/sec accuracy=0.570273 top_k_accuracy_5=0.785547 | |
| Epoch[64] Batch [700] Speed: 1312.46 samples/sec accuracy=0.564336 top_k_accuracy_5=0.786055 | |
| Epoch[64] Batch [800] Speed: 1304.41 samples/sec accuracy=0.564297 top_k_accuracy_5=0.785859 | |
| Epoch[64] Batch [900] Speed: 1296.85 samples/sec accuracy=0.567461 top_k_accuracy_5=0.784570 | |
| Epoch[64] Batch [1000] Speed: 1302.26 samples/sec accuracy=0.572109 top_k_accuracy_5=0.791367 | |
| Epoch[64] Batch [1100] Speed: 1297.16 samples/sec accuracy=0.577070 top_k_accuracy_5=0.794805 | |
| Epoch[64] Batch [1200] Speed: 1294.75 samples/sec accuracy=0.569219 top_k_accuracy_5=0.790039 | |
| Epoch[64] Batch [1300] Speed: 1304.93 samples/sec accuracy=0.566953 top_k_accuracy_5=0.782031 | |
| Epoch[64] Batch [1400] Speed: 1295.57 samples/sec accuracy=0.573242 top_k_accuracy_5=0.791328 | |
| Epoch[64] Batch [1500] Speed: 1298.75 samples/sec accuracy=0.569414 top_k_accuracy_5=0.785391 | |
| Epoch[64] Batch [1600] Speed: 1299.16 samples/sec accuracy=0.566406 top_k_accuracy_5=0.788711 | |
| Epoch[64] Batch [1700] Speed: 1303.33 samples/sec accuracy=0.568945 top_k_accuracy_5=0.790078 | |
| Epoch[64] Batch [1800] Speed: 1303.40 samples/sec accuracy=0.569766 top_k_accuracy_5=0.789844 | |
| Epoch[64] Batch [1900] Speed: 1298.81 samples/sec accuracy=0.567734 top_k_accuracy_5=0.787617 | |
| Epoch[64] Batch [2000] Speed: 1297.90 samples/sec accuracy=0.569492 top_k_accuracy_5=0.788711 | |
| Epoch[64] Batch [2100] Speed: 1305.70 samples/sec accuracy=0.567344 top_k_accuracy_5=0.786914 | |
| Epoch[64] Batch [2200] Speed: 1294.73 samples/sec accuracy=0.573828 top_k_accuracy_5=0.791406 | |
| Epoch[64] Batch [2300] Speed: 1293.27 samples/sec accuracy=0.567422 top_k_accuracy_5=0.787930 | |
| Epoch[64] Batch [2400] Speed: 1299.72 samples/sec accuracy=0.565547 top_k_accuracy_5=0.788945 | |
| Epoch[64] Batch [2500] Speed: 1294.12 samples/sec accuracy=0.569297 top_k_accuracy_5=0.791445 | |
| Epoch[64] Batch [2600] Speed: 1301.12 samples/sec accuracy=0.573750 top_k_accuracy_5=0.794727 | |
| Epoch[64] Batch [2700] Speed: 1302.60 samples/sec accuracy=0.569023 top_k_accuracy_5=0.787773 | |
| Epoch[64] Batch [2800] Speed: 1300.37 samples/sec accuracy=0.574180 top_k_accuracy_5=0.788242 | |
| Epoch[64] Batch [2900] Speed: 1291.30 samples/sec accuracy=0.572812 top_k_accuracy_5=0.792578 | |
| Epoch[64] Batch [3000] Speed: 1303.67 samples/sec accuracy=0.565000 top_k_accuracy_5=0.789531 | |
| Epoch[64] Batch [3100] Speed: 1295.58 samples/sec accuracy=0.573633 top_k_accuracy_5=0.790195 | |
| Epoch[64] Batch [3200] Speed: 1302.56 samples/sec accuracy=0.574297 top_k_accuracy_5=0.795703 | |
| Epoch[64] Batch [3300] Speed: 1307.34 samples/sec accuracy=0.568047 top_k_accuracy_5=0.785625 | |
| Epoch[64] Batch [3400] Speed: 1301.73 samples/sec accuracy=0.569883 top_k_accuracy_5=0.793789 | |
| Epoch[64] Batch [3500] Speed: 1291.25 samples/sec accuracy=0.573906 top_k_accuracy_5=0.793047 | |
| Epoch[64] Batch [3600] Speed: 1296.20 samples/sec accuracy=0.570859 top_k_accuracy_5=0.790586 | |
| Epoch[64] Batch [3700] Speed: 1300.24 samples/sec accuracy=0.569336 top_k_accuracy_5=0.788359 | |
| Epoch[64] Batch [3800] Speed: 1291.42 samples/sec accuracy=0.573477 top_k_accuracy_5=0.789883 | |
| Epoch[64] Batch [3900] Speed: 1297.65 samples/sec accuracy=0.572852 top_k_accuracy_5=0.790781 | |
| Epoch[64] Batch [4000] Speed: 1295.93 samples/sec accuracy=0.579414 top_k_accuracy_5=0.797148 | |
| Epoch[64] Batch [4100] Speed: 1303.26 samples/sec accuracy=0.569258 top_k_accuracy_5=0.790352 | |
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| Epoch[64] Batch [4300] Speed: 1296.72 samples/sec accuracy=0.566211 top_k_accuracy_5=0.787031 | |
| Epoch[64] Batch [4400] Speed: 1301.58 samples/sec accuracy=0.581172 top_k_accuracy_5=0.795898 | |
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| Epoch[64] Batch [4800] Speed: 1297.29 samples/sec accuracy=0.574492 top_k_accuracy_5=0.793281 | |
| Epoch[64] Batch [4900] Speed: 1297.51 samples/sec accuracy=0.578203 top_k_accuracy_5=0.794023 | |
| Epoch[64] Batch [5000] Speed: 1293.57 samples/sec accuracy=0.570195 top_k_accuracy_5=0.793008 | |
| Epoch[64] Train-accuracy=0.537109 | |
| Epoch[64] Train-top_k_accuracy_5=0.778320 | |
| Epoch[64] Time cost=985.921 | |
| Saved checkpoint to "model/resnet18-0065.params" | |
| Epoch[64] Validation-accuracy=0.572704 | |
| Epoch[64] Validation-top_k_accuracy_5=0.795859 | |
| Epoch[65] Batch [100] Speed: 1285.52 samples/sec accuracy=0.569268 top_k_accuracy_5=0.790339 | |
| Epoch[65] Batch [200] Speed: 1299.97 samples/sec accuracy=0.569531 top_k_accuracy_5=0.790195 | |
| Epoch[65] Batch [300] Speed: 1299.72 samples/sec accuracy=0.571367 top_k_accuracy_5=0.791094 | |
| Epoch[65] Batch [400] Speed: 1302.97 samples/sec accuracy=0.566562 top_k_accuracy_5=0.785039 | |
| Epoch[65] Batch [500] Speed: 1301.41 samples/sec accuracy=0.571797 top_k_accuracy_5=0.791445 | |
| Epoch[65] Batch [600] Speed: 1303.24 samples/sec accuracy=0.569336 top_k_accuracy_5=0.788906 | |
| Epoch[65] Batch [700] Speed: 1294.32 samples/sec accuracy=0.567539 top_k_accuracy_5=0.786445 | |
| Epoch[65] Batch [800] Speed: 1305.70 samples/sec accuracy=0.566055 top_k_accuracy_5=0.789180 | |
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| Epoch[65] Batch [1000] Speed: 1297.21 samples/sec accuracy=0.567617 top_k_accuracy_5=0.787148 | |
| Epoch[65] Batch [1100] Speed: 1296.29 samples/sec accuracy=0.573320 top_k_accuracy_5=0.791445 | |
| Epoch[65] Batch [1200] Speed: 1291.28 samples/sec accuracy=0.569883 top_k_accuracy_5=0.789336 | |
| Epoch[65] Batch [1300] Speed: 1299.93 samples/sec accuracy=0.568984 top_k_accuracy_5=0.788398 | |
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| Epoch[65] Batch [1500] Speed: 1299.45 samples/sec accuracy=0.565234 top_k_accuracy_5=0.787148 | |
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| Epoch[65] Batch [1700] Speed: 1303.57 samples/sec accuracy=0.575313 top_k_accuracy_5=0.790977 | |
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| Epoch[65] Batch [2000] Speed: 1305.42 samples/sec accuracy=0.572656 top_k_accuracy_5=0.793750 | |
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| Epoch[65] Batch [2900] Speed: 1302.90 samples/sec accuracy=0.576992 top_k_accuracy_5=0.793203 | |
| Epoch[65] Batch [3000] Speed: 1298.79 samples/sec accuracy=0.571484 top_k_accuracy_5=0.790703 | |
| Epoch[65] Batch [3100] Speed: 1308.34 samples/sec accuracy=0.568164 top_k_accuracy_5=0.788008 | |
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| Epoch[65] Batch [3800] Speed: 1298.03 samples/sec accuracy=0.571133 top_k_accuracy_5=0.795195 | |
| Epoch[65] Batch [3900] Speed: 1298.31 samples/sec accuracy=0.572773 top_k_accuracy_5=0.793398 | |
| Epoch[65] Batch [4000] Speed: 1305.04 samples/sec accuracy=0.580039 top_k_accuracy_5=0.792930 | |
| Epoch[65] Batch [4100] Speed: 1300.39 samples/sec accuracy=0.571406 top_k_accuracy_5=0.790273 | |
| Epoch[65] Batch [4200] Speed: 1304.92 samples/sec accuracy=0.568906 top_k_accuracy_5=0.794258 | |
| Epoch[65] Batch [4300] Speed: 1304.25 samples/sec accuracy=0.569023 top_k_accuracy_5=0.786836 | |
| Epoch[65] Batch [4400] Speed: 1290.69 samples/sec accuracy=0.578203 top_k_accuracy_5=0.793047 | |
| Epoch[65] Batch [4500] Speed: 1308.24 samples/sec accuracy=0.578398 top_k_accuracy_5=0.795859 | |
| Epoch[65] Batch [4600] Speed: 1301.80 samples/sec accuracy=0.576133 top_k_accuracy_5=0.791992 | |
| Epoch[65] Batch [4700] Speed: 1302.31 samples/sec accuracy=0.577266 top_k_accuracy_5=0.795117 | |
| Epoch[65] Batch [4800] Speed: 1290.37 samples/sec accuracy=0.573633 top_k_accuracy_5=0.796172 | |
| Epoch[65] Batch [4900] Speed: 1296.58 samples/sec accuracy=0.582187 top_k_accuracy_5=0.797539 | |
| Epoch[65] Batch [5000] Speed: 1308.94 samples/sec accuracy=0.572930 top_k_accuracy_5=0.790898 | |
| Epoch[65] Train-accuracy=0.587240 | |
| Epoch[65] Train-top_k_accuracy_5=0.795573 | |
| Epoch[65] Time cost=984.740 | |
| Saved checkpoint to "model/resnet18-0066.params" | |
| Epoch[65] Validation-accuracy=0.575060 | |
| Epoch[65] Validation-top_k_accuracy_5=0.798097 | |
| Epoch[66] Batch [100] Speed: 1285.35 samples/sec accuracy=0.569926 top_k_accuracy_5=0.792737 | |
| Epoch[66] Batch [200] Speed: 1303.81 samples/sec accuracy=0.570898 top_k_accuracy_5=0.792344 | |
| Epoch[66] Batch [300] Speed: 1295.29 samples/sec accuracy=0.570625 top_k_accuracy_5=0.792227 | |
| Epoch[66] Batch [400] Speed: 1290.61 samples/sec accuracy=0.569102 top_k_accuracy_5=0.787344 | |
| Epoch[66] Batch [500] Speed: 1292.48 samples/sec accuracy=0.575664 top_k_accuracy_5=0.792070 | |
| Epoch[66] Batch [600] Speed: 1296.43 samples/sec accuracy=0.575820 top_k_accuracy_5=0.792930 | |
| Epoch[66] Batch [700] Speed: 1291.47 samples/sec accuracy=0.570977 top_k_accuracy_5=0.789141 | |
| Epoch[66] Batch [800] Speed: 1286.19 samples/sec accuracy=0.571719 top_k_accuracy_5=0.786719 | |
| Epoch[66] Batch [900] Speed: 1294.90 samples/sec accuracy=0.571250 top_k_accuracy_5=0.788438 | |
| Epoch[66] Batch [1000] Speed: 1295.68 samples/sec accuracy=0.571953 top_k_accuracy_5=0.792891 | |
| Epoch[66] Batch [1100] Speed: 1296.28 samples/sec accuracy=0.572227 top_k_accuracy_5=0.791055 | |
| Epoch[66] Batch [1200] Speed: 1287.14 samples/sec accuracy=0.570508 top_k_accuracy_5=0.789609 | |
| Epoch[66] Batch [1300] Speed: 1291.38 samples/sec accuracy=0.573320 top_k_accuracy_5=0.793359 | |
| Epoch[66] Batch [1400] Speed: 1289.35 samples/sec accuracy=0.573867 top_k_accuracy_5=0.794297 | |
| Epoch[66] Batch [1500] Speed: 1291.61 samples/sec accuracy=0.567578 top_k_accuracy_5=0.787383 | |
| Epoch[66] Batch [1600] Speed: 1298.06 samples/sec accuracy=0.565234 top_k_accuracy_5=0.790195 | |
| Epoch[66] Batch [1700] Speed: 1290.33 samples/sec accuracy=0.573008 top_k_accuracy_5=0.791523 | |
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| Epoch[66] Batch [1900] Speed: 1284.46 samples/sec accuracy=0.571211 top_k_accuracy_5=0.791797 | |
| Epoch[66] Batch [2000] Speed: 1288.93 samples/sec accuracy=0.574570 top_k_accuracy_5=0.787266 | |
| Epoch[66] Batch [2100] Speed: 1290.50 samples/sec accuracy=0.570195 top_k_accuracy_5=0.789102 | |
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| Epoch[66] Batch [2600] Speed: 1277.20 samples/sec accuracy=0.571445 top_k_accuracy_5=0.795508 | |
| Epoch[66] Batch [2700] Speed: 1279.62 samples/sec accuracy=0.569258 top_k_accuracy_5=0.791094 | |
| Epoch[66] Batch [2800] Speed: 1280.63 samples/sec accuracy=0.577891 top_k_accuracy_5=0.793320 | |
| Epoch[66] Batch [2900] Speed: 1277.53 samples/sec accuracy=0.577617 top_k_accuracy_5=0.793555 | |
| Epoch[66] Batch [3000] Speed: 1275.23 samples/sec accuracy=0.574258 top_k_accuracy_5=0.793594 | |
| Epoch[66] Batch [3100] Speed: 1277.90 samples/sec accuracy=0.573633 top_k_accuracy_5=0.792227 | |
| Epoch[66] Batch [3200] Speed: 1282.68 samples/sec accuracy=0.581953 top_k_accuracy_5=0.799883 | |
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| Epoch[66] Batch [3800] Speed: 1276.57 samples/sec accuracy=0.571875 top_k_accuracy_5=0.791836 | |
| Epoch[66] Batch [3900] Speed: 1284.71 samples/sec accuracy=0.575547 top_k_accuracy_5=0.793633 | |
| Epoch[66] Batch [4000] Speed: 1282.55 samples/sec accuracy=0.579023 top_k_accuracy_5=0.795859 | |
| Epoch[66] Batch [4100] Speed: 1277.30 samples/sec accuracy=0.579844 top_k_accuracy_5=0.799023 | |
| Epoch[66] Batch [4200] Speed: 1281.91 samples/sec accuracy=0.575039 top_k_accuracy_5=0.794258 | |
| Epoch[66] Batch [4300] Speed: 1289.67 samples/sec accuracy=0.575547 top_k_accuracy_5=0.791016 | |
| Epoch[66] Batch [4400] Speed: 1299.11 samples/sec accuracy=0.577148 top_k_accuracy_5=0.795234 | |
| Epoch[66] Batch [4500] Speed: 1299.82 samples/sec accuracy=0.580586 top_k_accuracy_5=0.794414 | |
| Epoch[66] Batch [4600] Speed: 1304.95 samples/sec accuracy=0.576406 top_k_accuracy_5=0.795039 | |
| Epoch[66] Batch [4700] Speed: 1302.24 samples/sec accuracy=0.576172 top_k_accuracy_5=0.795547 | |
| Epoch[66] Batch [4800] Speed: 1297.96 samples/sec accuracy=0.573750 top_k_accuracy_5=0.797070 | |
| Epoch[66] Batch [4900] Speed: 1306.47 samples/sec accuracy=0.581875 top_k_accuracy_5=0.801758 | |
| Epoch[66] Batch [5000] Speed: 1295.21 samples/sec accuracy=0.576992 top_k_accuracy_5=0.793711 | |
| Epoch[66] Train-accuracy=0.560547 | |
| Epoch[66] Train-top_k_accuracy_5=0.792969 | |
| Epoch[66] Time cost=995.588 | |
| Saved checkpoint to "model/resnet18-0067.params" | |
| Epoch[66] Validation-accuracy=0.575641 | |
| Epoch[66] Validation-top_k_accuracy_5=0.797937 | |
| Epoch[67] Batch [100] Speed: 1297.67 samples/sec accuracy=0.575031 top_k_accuracy_5=0.794013 | |
| Epoch[67] Batch [200] Speed: 1316.81 samples/sec accuracy=0.571719 top_k_accuracy_5=0.794531 | |
| Epoch[67] Batch [300] Speed: 1299.95 samples/sec accuracy=0.574727 top_k_accuracy_5=0.795156 | |
| Epoch[67] Batch [400] Speed: 1310.59 samples/sec accuracy=0.567539 top_k_accuracy_5=0.786445 | |
| Epoch[67] Batch [500] Speed: 1307.14 samples/sec accuracy=0.576836 top_k_accuracy_5=0.793945 | |
| Epoch[67] Batch [600] Speed: 1302.80 samples/sec accuracy=0.574063 top_k_accuracy_5=0.792500 | |
| Epoch[67] Batch [700] Speed: 1303.53 samples/sec accuracy=0.570234 top_k_accuracy_5=0.790898 | |
| Epoch[67] Batch [800] Speed: 1301.05 samples/sec accuracy=0.572773 top_k_accuracy_5=0.787031 | |
| Epoch[67] Batch [900] Speed: 1302.89 samples/sec accuracy=0.572930 top_k_accuracy_5=0.790937 | |
| Epoch[67] Batch [1000] Speed: 1304.78 samples/sec accuracy=0.571797 top_k_accuracy_5=0.790781 | |
| Epoch[67] Batch [1100] Speed: 1297.44 samples/sec accuracy=0.581797 top_k_accuracy_5=0.796914 | |
| Epoch[67] Batch [1200] Speed: 1299.41 samples/sec accuracy=0.575391 top_k_accuracy_5=0.798086 | |
| Epoch[67] Batch [1300] Speed: 1294.23 samples/sec accuracy=0.574023 top_k_accuracy_5=0.789609 | |
| Epoch[67] Batch [1400] Speed: 1304.98 samples/sec accuracy=0.575859 top_k_accuracy_5=0.792188 | |
| Epoch[67] Batch [1500] Speed: 1305.65 samples/sec accuracy=0.573750 top_k_accuracy_5=0.792305 | |
| Epoch[67] Batch [1600] Speed: 1297.31 samples/sec accuracy=0.575898 top_k_accuracy_5=0.789766 | |
| Epoch[67] Batch [1700] Speed: 1304.48 samples/sec accuracy=0.574609 top_k_accuracy_5=0.790430 | |
| Epoch[67] Batch [1800] Speed: 1305.08 samples/sec accuracy=0.574219 top_k_accuracy_5=0.794180 | |
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| Epoch[67] Batch [2000] Speed: 1304.21 samples/sec accuracy=0.579023 top_k_accuracy_5=0.794648 | |
| Epoch[67] Batch [2100] Speed: 1308.79 samples/sec accuracy=0.572187 top_k_accuracy_5=0.790352 | |
| Epoch[67] Batch [2200] Speed: 1296.43 samples/sec accuracy=0.578438 top_k_accuracy_5=0.795195 | |
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| Epoch[67] Batch [2400] Speed: 1302.28 samples/sec accuracy=0.575898 top_k_accuracy_5=0.795586 | |
| Epoch[67] Batch [2500] Speed: 1304.84 samples/sec accuracy=0.572773 top_k_accuracy_5=0.793125 | |
| Epoch[67] Batch [2600] Speed: 1298.53 samples/sec accuracy=0.574414 top_k_accuracy_5=0.792969 | |
| Epoch[67] Batch [2700] Speed: 1297.14 samples/sec accuracy=0.577305 top_k_accuracy_5=0.795352 | |
| Epoch[67] Batch [2800] Speed: 1296.88 samples/sec accuracy=0.574219 top_k_accuracy_5=0.794844 | |
| Epoch[67] Batch [2900] Speed: 1297.71 samples/sec accuracy=0.579688 top_k_accuracy_5=0.794961 | |
| Epoch[67] Batch [3000] Speed: 1301.66 samples/sec accuracy=0.571680 top_k_accuracy_5=0.793789 | |
| Epoch[67] Batch [3100] Speed: 1296.04 samples/sec accuracy=0.578242 top_k_accuracy_5=0.791445 | |
| Epoch[67] Batch [3200] Speed: 1296.38 samples/sec accuracy=0.579063 top_k_accuracy_5=0.799102 | |
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| Epoch[67] Batch [3400] Speed: 1297.24 samples/sec accuracy=0.573633 top_k_accuracy_5=0.795430 | |
| Epoch[67] Batch [3500] Speed: 1305.55 samples/sec accuracy=0.577187 top_k_accuracy_5=0.794570 | |
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| Epoch[67] Batch [3700] Speed: 1290.18 samples/sec accuracy=0.574219 top_k_accuracy_5=0.791250 | |
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| Epoch[67] Batch [3900] Speed: 1297.37 samples/sec accuracy=0.572852 top_k_accuracy_5=0.793789 | |
| Epoch[67] Batch [4000] Speed: 1302.60 samples/sec accuracy=0.582578 top_k_accuracy_5=0.796680 | |
| Epoch[67] Batch [4100] Speed: 1296.51 samples/sec accuracy=0.575078 top_k_accuracy_5=0.794453 | |
| Epoch[67] Batch [4200] Speed: 1301.11 samples/sec accuracy=0.579570 top_k_accuracy_5=0.793984 | |
| Epoch[67] Batch [4300] Speed: 1297.57 samples/sec accuracy=0.577031 top_k_accuracy_5=0.795195 | |
| Epoch[67] Batch [4400] Speed: 1303.55 samples/sec accuracy=0.577383 top_k_accuracy_5=0.795156 | |
| Epoch[67] Batch [4500] Speed: 1304.86 samples/sec accuracy=0.582070 top_k_accuracy_5=0.798594 | |
| Epoch[67] Batch [4600] Speed: 1300.17 samples/sec accuracy=0.576914 top_k_accuracy_5=0.795898 | |
| Epoch[67] Batch [4700] Speed: 1300.45 samples/sec accuracy=0.577773 top_k_accuracy_5=0.798320 | |
| Epoch[67] Batch [4800] Speed: 1299.97 samples/sec accuracy=0.574688 top_k_accuracy_5=0.796562 | |
| Epoch[67] Batch [4900] Speed: 1300.10 samples/sec accuracy=0.583203 top_k_accuracy_5=0.800547 | |
| Epoch[67] Batch [5000] Speed: 1303.05 samples/sec accuracy=0.578906 top_k_accuracy_5=0.798203 | |
| Epoch[67] Train-accuracy=0.539062 | |
| Epoch[67] Train-top_k_accuracy_5=0.764323 | |
| Epoch[67] Time cost=985.331 | |
| Saved checkpoint to "model/resnet18-0068.params" | |
| Epoch[67] Validation-accuracy=0.574637 | |
| Epoch[67] Validation-top_k_accuracy_5=0.796636 | |
| Epoch[68] Batch [100] Speed: 1303.35 samples/sec accuracy=0.577893 top_k_accuracy_5=0.792621 | |
| Epoch[68] Batch [200] Speed: 1297.28 samples/sec accuracy=0.572656 top_k_accuracy_5=0.794336 | |
| Epoch[68] Batch [300] Speed: 1298.23 samples/sec accuracy=0.578438 top_k_accuracy_5=0.795273 | |
| Epoch[68] Batch [400] Speed: 1296.18 samples/sec accuracy=0.571328 top_k_accuracy_5=0.790703 | |
| Epoch[68] Batch [500] Speed: 1304.40 samples/sec accuracy=0.579805 top_k_accuracy_5=0.793164 | |
| Epoch[68] Batch [600] Speed: 1295.83 samples/sec accuracy=0.576953 top_k_accuracy_5=0.793711 | |
| Epoch[68] Batch [700] Speed: 1304.89 samples/sec accuracy=0.571602 top_k_accuracy_5=0.788945 | |
| Epoch[68] Batch [800] Speed: 1303.71 samples/sec accuracy=0.575508 top_k_accuracy_5=0.791719 | |
| Epoch[68] Batch [900] Speed: 1305.49 samples/sec accuracy=0.571758 top_k_accuracy_5=0.792734 | |
| Epoch[68] Batch [1000] Speed: 1292.59 samples/sec accuracy=0.574063 top_k_accuracy_5=0.797344 | |
| Epoch[68] Batch [1100] Speed: 1308.08 samples/sec accuracy=0.576406 top_k_accuracy_5=0.790078 | |
| Epoch[68] Batch [1200] Speed: 1304.18 samples/sec accuracy=0.578516 top_k_accuracy_5=0.793047 | |
| Epoch[68] Batch [1300] Speed: 1304.37 samples/sec accuracy=0.575234 top_k_accuracy_5=0.789727 | |
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| Epoch[68] Batch [1500] Speed: 1301.70 samples/sec accuracy=0.573711 top_k_accuracy_5=0.795273 | |
| Epoch[68] Batch [1600] Speed: 1298.46 samples/sec accuracy=0.573945 top_k_accuracy_5=0.795742 | |
| Epoch[68] Batch [1700] Speed: 1305.35 samples/sec accuracy=0.575469 top_k_accuracy_5=0.792500 | |
| Epoch[68] Batch [1800] Speed: 1307.40 samples/sec accuracy=0.575664 top_k_accuracy_5=0.794961 | |
| Epoch[68] Batch [1900] Speed: 1301.24 samples/sec accuracy=0.576641 top_k_accuracy_5=0.797109 | |
| Epoch[68] Batch [2000] Speed: 1297.86 samples/sec accuracy=0.575703 top_k_accuracy_5=0.796250 | |
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| Epoch[68] Batch [2200] Speed: 1294.97 samples/sec accuracy=0.580586 top_k_accuracy_5=0.794648 | |
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| Epoch[68] Batch [2500] Speed: 1305.21 samples/sec accuracy=0.574336 top_k_accuracy_5=0.791133 | |
| Epoch[68] Batch [2600] Speed: 1303.40 samples/sec accuracy=0.577344 top_k_accuracy_5=0.796641 | |
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| Epoch[68] Batch [2900] Speed: 1307.47 samples/sec accuracy=0.579883 top_k_accuracy_5=0.797695 | |
| Epoch[68] Batch [3000] Speed: 1293.83 samples/sec accuracy=0.568984 top_k_accuracy_5=0.792461 | |
| Epoch[68] Batch [3100] Speed: 1295.85 samples/sec accuracy=0.575937 top_k_accuracy_5=0.792305 | |
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| Epoch[68] Batch [3600] Speed: 1292.47 samples/sec accuracy=0.577031 top_k_accuracy_5=0.797344 | |
| Epoch[68] Batch [3700] Speed: 1296.83 samples/sec accuracy=0.574492 top_k_accuracy_5=0.797617 | |
| Epoch[68] Batch [3800] Speed: 1303.50 samples/sec accuracy=0.578242 top_k_accuracy_5=0.795078 | |
| Epoch[68] Batch [3900] Speed: 1301.97 samples/sec accuracy=0.576133 top_k_accuracy_5=0.793125 | |
| Epoch[68] Batch [4000] Speed: 1303.95 samples/sec accuracy=0.583945 top_k_accuracy_5=0.796445 | |
| Epoch[68] Batch [4100] Speed: 1297.29 samples/sec accuracy=0.573516 top_k_accuracy_5=0.790820 | |
| Epoch[68] Batch [4200] Speed: 1299.08 samples/sec accuracy=0.577539 top_k_accuracy_5=0.795312 | |
| Epoch[68] Batch [4300] Speed: 1298.83 samples/sec accuracy=0.573203 top_k_accuracy_5=0.790117 | |
| Epoch[68] Batch [4400] Speed: 1300.51 samples/sec accuracy=0.576914 top_k_accuracy_5=0.792266 | |
| Epoch[68] Batch [4500] Speed: 1303.84 samples/sec accuracy=0.577930 top_k_accuracy_5=0.798477 | |
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| Epoch[68] Batch [4700] Speed: 1309.25 samples/sec accuracy=0.577969 top_k_accuracy_5=0.797656 | |
| Epoch[68] Batch [4800] Speed: 1307.31 samples/sec accuracy=0.574766 top_k_accuracy_5=0.798867 | |
| Epoch[68] Batch [4900] Speed: 1301.89 samples/sec accuracy=0.578594 top_k_accuracy_5=0.798711 | |
| Epoch[68] Batch [5000] Speed: 1302.65 samples/sec accuracy=0.580078 top_k_accuracy_5=0.801016 | |
| Epoch[68] Train-accuracy=0.557617 | |
| Epoch[68] Train-top_k_accuracy_5=0.779297 | |
| Epoch[68] Time cost=985.866 | |
| Saved checkpoint to "model/resnet18-0069.params" | |
| Epoch[68] Validation-accuracy=0.576442 | |
| Epoch[68] Validation-top_k_accuracy_5=0.799219 | |
| Epoch[69] Batch [100] Speed: 1286.97 samples/sec accuracy=0.579363 top_k_accuracy_5=0.796179 | |
| Epoch[69] Batch [200] Speed: 1310.15 samples/sec accuracy=0.577500 top_k_accuracy_5=0.795547 | |
| Epoch[69] Batch [300] Speed: 1300.87 samples/sec accuracy=0.577461 top_k_accuracy_5=0.799805 | |
| Epoch[69] Batch [400] Speed: 1310.68 samples/sec accuracy=0.574844 top_k_accuracy_5=0.792266 | |
| Epoch[69] Batch [500] Speed: 1307.34 samples/sec accuracy=0.577578 top_k_accuracy_5=0.794219 | |
| Epoch[69] Batch [600] Speed: 1307.97 samples/sec accuracy=0.579844 top_k_accuracy_5=0.794883 | |
| Epoch[69] Batch [700] Speed: 1303.20 samples/sec accuracy=0.572383 top_k_accuracy_5=0.791055 | |
| Epoch[69] Batch [800] Speed: 1307.41 samples/sec accuracy=0.569688 top_k_accuracy_5=0.791133 | |
| Epoch[69] Batch [900] Speed: 1303.31 samples/sec accuracy=0.574141 top_k_accuracy_5=0.792695 | |
| Epoch[69] Batch [1000] Speed: 1309.96 samples/sec accuracy=0.576406 top_k_accuracy_5=0.796914 | |
| Epoch[69] Batch [1100] Speed: 1309.66 samples/sec accuracy=0.580664 top_k_accuracy_5=0.795391 | |
| Epoch[69] Batch [1200] Speed: 1294.07 samples/sec accuracy=0.572187 top_k_accuracy_5=0.796758 | |
| Epoch[69] Batch [1300] Speed: 1308.23 samples/sec accuracy=0.573008 top_k_accuracy_5=0.793164 | |
| Epoch[69] Batch [1400] Speed: 1305.25 samples/sec accuracy=0.574414 top_k_accuracy_5=0.793555 | |
| Epoch[69] Batch [1500] Speed: 1306.89 samples/sec accuracy=0.573867 top_k_accuracy_5=0.794297 | |
| Epoch[69] Batch [1600] Speed: 1303.28 samples/sec accuracy=0.570937 top_k_accuracy_5=0.791602 | |
| Epoch[69] Batch [1700] Speed: 1305.37 samples/sec accuracy=0.573438 top_k_accuracy_5=0.792461 | |
| Epoch[69] Batch [1800] Speed: 1306.04 samples/sec accuracy=0.577227 top_k_accuracy_5=0.794063 | |
| Epoch[69] Batch [1900] Speed: 1310.57 samples/sec accuracy=0.579922 top_k_accuracy_5=0.792813 | |
| Epoch[69] Batch [2000] Speed: 1305.89 samples/sec accuracy=0.579766 top_k_accuracy_5=0.798320 | |
| Epoch[69] Batch [2100] Speed: 1309.24 samples/sec accuracy=0.572617 top_k_accuracy_5=0.795000 | |
| Epoch[69] Batch [2200] Speed: 1306.05 samples/sec accuracy=0.581641 top_k_accuracy_5=0.799414 | |
| Epoch[69] Batch [2300] Speed: 1310.10 samples/sec accuracy=0.570156 top_k_accuracy_5=0.794453 | |
| Epoch[69] Batch [2400] Speed: 1309.10 samples/sec accuracy=0.576055 top_k_accuracy_5=0.796445 | |
| Epoch[69] Batch [2500] Speed: 1308.05 samples/sec accuracy=0.577109 top_k_accuracy_5=0.794727 | |
| Epoch[69] Batch [2600] Speed: 1304.15 samples/sec accuracy=0.578438 top_k_accuracy_5=0.796523 | |
| Epoch[69] Batch [2700] Speed: 1306.86 samples/sec accuracy=0.571250 top_k_accuracy_5=0.789102 | |
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| Epoch[69] Batch [2900] Speed: 1311.98 samples/sec accuracy=0.586914 top_k_accuracy_5=0.797813 | |
| Epoch[69] Batch [3000] Speed: 1310.58 samples/sec accuracy=0.572539 top_k_accuracy_5=0.793906 | |
| Epoch[69] Batch [3100] Speed: 1304.93 samples/sec accuracy=0.575937 top_k_accuracy_5=0.794375 | |
| Epoch[69] Batch [3200] Speed: 1305.65 samples/sec accuracy=0.580039 top_k_accuracy_5=0.800781 | |
| Epoch[69] Batch [3300] Speed: 1312.83 samples/sec accuracy=0.572305 top_k_accuracy_5=0.792109 | |
| Epoch[69] Batch [3400] Speed: 1304.43 samples/sec accuracy=0.575273 top_k_accuracy_5=0.799453 | |
| Epoch[69] Batch [3500] Speed: 1310.65 samples/sec accuracy=0.577461 top_k_accuracy_5=0.796016 | |
| Epoch[69] Batch [3600] Speed: 1316.05 samples/sec accuracy=0.578906 top_k_accuracy_5=0.797070 | |
| Epoch[69] Batch [3700] Speed: 1310.38 samples/sec accuracy=0.580586 top_k_accuracy_5=0.797656 | |
| Epoch[69] Batch [3800] Speed: 1303.45 samples/sec accuracy=0.577930 top_k_accuracy_5=0.795703 | |
| Epoch[69] Batch [3900] Speed: 1305.16 samples/sec accuracy=0.579492 top_k_accuracy_5=0.795039 | |
| Epoch[69] Batch [4000] Speed: 1302.93 samples/sec accuracy=0.580273 top_k_accuracy_5=0.798203 | |
| Epoch[69] Batch [4100] Speed: 1301.61 samples/sec accuracy=0.571914 top_k_accuracy_5=0.796016 | |
| Epoch[69] Batch [4200] Speed: 1311.83 samples/sec accuracy=0.580000 top_k_accuracy_5=0.797500 | |
| Epoch[69] Batch [4300] Speed: 1319.61 samples/sec accuracy=0.576523 top_k_accuracy_5=0.797539 | |
| Epoch[69] Batch [4400] Speed: 1307.51 samples/sec accuracy=0.582852 top_k_accuracy_5=0.800586 | |
| Epoch[69] Batch [4500] Speed: 1308.19 samples/sec accuracy=0.581484 top_k_accuracy_5=0.798203 | |
| Epoch[69] Batch [4600] Speed: 1307.82 samples/sec accuracy=0.579453 top_k_accuracy_5=0.797969 | |
| Epoch[69] Batch [4700] Speed: 1296.21 samples/sec accuracy=0.582695 top_k_accuracy_5=0.795352 | |
| Epoch[69] Batch [4800] Speed: 1297.24 samples/sec accuracy=0.579531 top_k_accuracy_5=0.792852 | |
| Epoch[69] Batch [4900] Speed: 1308.59 samples/sec accuracy=0.581719 top_k_accuracy_5=0.797734 | |
| Epoch[69] Batch [5000] Speed: 1310.36 samples/sec accuracy=0.581680 top_k_accuracy_5=0.795625 | |
| Epoch[69] Train-accuracy=0.564453 | |
| Epoch[69] Train-top_k_accuracy_5=0.780273 | |
| Epoch[69] Time cost=981.019 | |
| Saved checkpoint to "model/resnet18-0070.params" | |
| Epoch[69] Validation-accuracy=0.576522 | |
| Epoch[69] Validation-top_k_accuracy_5=0.799179 | |
| Epoch[70] Batch [100] Speed: 1297.89 samples/sec accuracy=0.578512 top_k_accuracy_5=0.797107 | |
| Epoch[70] Batch [200] Speed: 1298.76 samples/sec accuracy=0.574570 top_k_accuracy_5=0.794570 | |
| Epoch[70] Batch [300] Speed: 1308.60 samples/sec accuracy=0.580391 top_k_accuracy_5=0.796328 | |
| Epoch[70] Batch [400] Speed: 1308.69 samples/sec accuracy=0.577031 top_k_accuracy_5=0.793203 | |
| Epoch[70] Batch [500] Speed: 1305.65 samples/sec accuracy=0.580273 top_k_accuracy_5=0.796016 | |
| Epoch[70] Batch [600] Speed: 1306.33 samples/sec accuracy=0.576797 top_k_accuracy_5=0.794961 | |
| Epoch[70] Batch [700] Speed: 1307.57 samples/sec accuracy=0.574609 top_k_accuracy_5=0.789414 | |
| Epoch[70] Batch [800] Speed: 1312.51 samples/sec accuracy=0.575898 top_k_accuracy_5=0.796094 | |
| Epoch[70] Batch [900] Speed: 1304.95 samples/sec accuracy=0.577852 top_k_accuracy_5=0.793438 | |
| Epoch[70] Batch [1000] Speed: 1308.75 samples/sec accuracy=0.576914 top_k_accuracy_5=0.794648 | |
| Epoch[70] Batch [1100] Speed: 1310.50 samples/sec accuracy=0.578164 top_k_accuracy_5=0.796367 | |
| Epoch[70] Batch [1200] Speed: 1303.88 samples/sec accuracy=0.577227 top_k_accuracy_5=0.795469 | |
| Epoch[70] Batch [1300] Speed: 1302.67 samples/sec accuracy=0.578828 top_k_accuracy_5=0.791133 | |
| Epoch[70] Batch [1400] Speed: 1306.16 samples/sec accuracy=0.579766 top_k_accuracy_5=0.795352 | |
| Epoch[70] Batch [1500] Speed: 1307.58 samples/sec accuracy=0.572227 top_k_accuracy_5=0.792031 | |
| Epoch[70] Batch [1600] Speed: 1303.73 samples/sec accuracy=0.576719 top_k_accuracy_5=0.793789 | |
| Epoch[70] Batch [1700] Speed: 1304.35 samples/sec accuracy=0.582422 top_k_accuracy_5=0.801289 | |
| Epoch[70] Batch [1800] Speed: 1312.65 samples/sec accuracy=0.576523 top_k_accuracy_5=0.795469 | |
| Epoch[70] Batch [1900] Speed: 1303.64 samples/sec accuracy=0.581562 top_k_accuracy_5=0.795703 | |
| Epoch[70] Batch [2000] Speed: 1307.91 samples/sec accuracy=0.577695 top_k_accuracy_5=0.796055 | |
| Epoch[70] Batch [2100] Speed: 1303.93 samples/sec accuracy=0.579570 top_k_accuracy_5=0.796289 | |
| Epoch[70] Batch [2200] Speed: 1302.73 samples/sec accuracy=0.579609 top_k_accuracy_5=0.793203 | |
| Epoch[70] Batch [2300] Speed: 1295.65 samples/sec accuracy=0.574961 top_k_accuracy_5=0.794805 | |
| Epoch[70] Batch [2400] Speed: 1305.80 samples/sec accuracy=0.574922 top_k_accuracy_5=0.795000 | |
| Epoch[70] Batch [2500] Speed: 1310.36 samples/sec accuracy=0.577930 top_k_accuracy_5=0.794102 | |
| Epoch[70] Batch [2600] Speed: 1305.54 samples/sec accuracy=0.575430 top_k_accuracy_5=0.797500 | |
| Epoch[70] Batch [2700] Speed: 1304.95 samples/sec accuracy=0.578086 top_k_accuracy_5=0.795078 | |
| Epoch[70] Batch [2800] Speed: 1313.52 samples/sec accuracy=0.583008 top_k_accuracy_5=0.799102 | |
| Epoch[70] Batch [2900] Speed: 1310.98 samples/sec accuracy=0.583555 top_k_accuracy_5=0.797617 | |
| Epoch[70] Batch [3000] Speed: 1308.68 samples/sec accuracy=0.574492 top_k_accuracy_5=0.793750 | |
| Epoch[70] Batch [3100] Speed: 1308.28 samples/sec accuracy=0.574922 top_k_accuracy_5=0.793672 | |
| Epoch[70] Batch [3200] Speed: 1311.31 samples/sec accuracy=0.581797 top_k_accuracy_5=0.798711 | |
| Epoch[70] Batch [3300] Speed: 1301.04 samples/sec accuracy=0.579258 top_k_accuracy_5=0.797617 | |
| Epoch[70] Batch [3400] Speed: 1301.14 samples/sec accuracy=0.578008 top_k_accuracy_5=0.801016 | |
| Epoch[70] Batch [3500] Speed: 1308.32 samples/sec accuracy=0.577617 top_k_accuracy_5=0.795117 | |
| Epoch[70] Batch [3600] Speed: 1311.69 samples/sec accuracy=0.581094 top_k_accuracy_5=0.798867 | |
| Epoch[70] Batch [3700] Speed: 1314.35 samples/sec accuracy=0.579570 top_k_accuracy_5=0.799883 | |
| Epoch[70] Batch [3800] Speed: 1309.78 samples/sec accuracy=0.579492 top_k_accuracy_5=0.798359 | |
| Epoch[70] Batch [3900] Speed: 1320.01 samples/sec accuracy=0.573984 top_k_accuracy_5=0.796094 | |
| Epoch[70] Batch [4000] Speed: 1306.99 samples/sec accuracy=0.584063 top_k_accuracy_5=0.800508 | |
| Epoch[70] Batch [4100] Speed: 1312.12 samples/sec accuracy=0.573789 top_k_accuracy_5=0.795820 | |
| Epoch[70] Batch [4200] Speed: 1302.78 samples/sec accuracy=0.579648 top_k_accuracy_5=0.798945 | |
| Epoch[70] Batch [4300] Speed: 1317.17 samples/sec accuracy=0.577891 top_k_accuracy_5=0.795703 | |
| Epoch[70] Batch [4400] Speed: 1312.05 samples/sec accuracy=0.584922 top_k_accuracy_5=0.799219 | |
| Epoch[70] Batch [4500] Speed: 1315.07 samples/sec accuracy=0.583242 top_k_accuracy_5=0.799883 | |
| Epoch[70] Batch [4600] Speed: 1308.98 samples/sec accuracy=0.578828 top_k_accuracy_5=0.795859 | |
| Epoch[70] Batch [4700] Speed: 1311.01 samples/sec accuracy=0.582812 top_k_accuracy_5=0.801367 | |
| Epoch[70] Batch [4800] Speed: 1306.55 samples/sec accuracy=0.575469 top_k_accuracy_5=0.795781 | |
| Epoch[70] Batch [4900] Speed: 1306.95 samples/sec accuracy=0.585938 top_k_accuracy_5=0.801641 | |
| Epoch[70] Batch [5000] Speed: 1308.37 samples/sec accuracy=0.577656 top_k_accuracy_5=0.799609 | |
| Epoch[70] Train-accuracy=0.587240 | |
| Epoch[70] Train-top_k_accuracy_5=0.809896 | |
| Epoch[70] Time cost=980.019 | |
| Saved checkpoint to "model/resnet18-0071.params" | |
| Epoch[70] Validation-accuracy=0.576710 | |
| Epoch[70] Validation-top_k_accuracy_5=0.798988 | |
| Epoch[71] Batch [100] Speed: 1310.23 samples/sec accuracy=0.578589 top_k_accuracy_5=0.796643 | |
| Epoch[71] Batch [200] Speed: 1312.59 samples/sec accuracy=0.578398 top_k_accuracy_5=0.795117 | |
| Epoch[71] Batch [300] Speed: 1308.61 samples/sec accuracy=0.577734 top_k_accuracy_5=0.795156 | |
| Epoch[71] Batch [400] Speed: 1307.41 samples/sec accuracy=0.574688 top_k_accuracy_5=0.793320 | |
| Epoch[71] Batch [500] Speed: 1311.59 samples/sec accuracy=0.581914 top_k_accuracy_5=0.801836 | |
| Epoch[71] Batch [600] Speed: 1315.47 samples/sec accuracy=0.578984 top_k_accuracy_5=0.794492 | |
| Epoch[71] Batch [700] Speed: 1315.40 samples/sec accuracy=0.577500 top_k_accuracy_5=0.790039 | |
| Epoch[71] Batch [800] Speed: 1312.88 samples/sec accuracy=0.575195 top_k_accuracy_5=0.796523 | |
| Epoch[71] Batch [900] Speed: 1302.38 samples/sec accuracy=0.573828 top_k_accuracy_5=0.793203 | |
| Epoch[71] Batch [1000] Speed: 1323.63 samples/sec accuracy=0.575859 top_k_accuracy_5=0.793711 | |
| Epoch[71] Batch [1100] Speed: 1306.23 samples/sec accuracy=0.579805 top_k_accuracy_5=0.801172 | |
| Epoch[71] Batch [1200] Speed: 1322.40 samples/sec accuracy=0.576562 top_k_accuracy_5=0.796914 | |
| Epoch[71] Batch [1300] Speed: 1303.55 samples/sec accuracy=0.572695 top_k_accuracy_5=0.788906 | |
| Epoch[71] Batch [1400] Speed: 1306.21 samples/sec accuracy=0.583945 top_k_accuracy_5=0.797813 | |
| Epoch[71] Batch [1500] Speed: 1291.31 samples/sec accuracy=0.579063 top_k_accuracy_5=0.790937 | |
| Epoch[71] Batch [1600] Speed: 1313.51 samples/sec accuracy=0.577695 top_k_accuracy_5=0.795469 | |
| Epoch[71] Batch [1700] Speed: 1310.75 samples/sec accuracy=0.578945 top_k_accuracy_5=0.798203 | |
| Epoch[71] Batch [1800] Speed: 1308.58 samples/sec accuracy=0.578281 top_k_accuracy_5=0.797500 | |
| Epoch[71] Batch [1900] Speed: 1303.43 samples/sec accuracy=0.579844 top_k_accuracy_5=0.798047 | |
| Epoch[71] Batch [2000] Speed: 1316.01 samples/sec accuracy=0.575078 top_k_accuracy_5=0.793477 | |
| Epoch[71] Batch [2100] Speed: 1309.20 samples/sec accuracy=0.578828 top_k_accuracy_5=0.795117 | |
| Epoch[71] Batch [2200] Speed: 1312.78 samples/sec accuracy=0.580078 top_k_accuracy_5=0.797383 | |
| Epoch[71] Batch [2300] Speed: 1307.11 samples/sec accuracy=0.574219 top_k_accuracy_5=0.798438 | |
| Epoch[71] Batch [2400] Speed: 1298.90 samples/sec accuracy=0.578633 top_k_accuracy_5=0.794219 | |
| Epoch[71] Batch [2500] Speed: 1303.91 samples/sec accuracy=0.579414 top_k_accuracy_5=0.794727 | |
| Epoch[71] Batch [2600] Speed: 1302.02 samples/sec accuracy=0.579023 top_k_accuracy_5=0.792695 | |
| Epoch[71] Batch [2700] Speed: 1297.13 samples/sec accuracy=0.576250 top_k_accuracy_5=0.793281 | |
| Epoch[71] Batch [2800] Speed: 1312.07 samples/sec accuracy=0.578945 top_k_accuracy_5=0.792734 | |
| Epoch[71] Batch [2900] Speed: 1307.62 samples/sec accuracy=0.583945 top_k_accuracy_5=0.799297 | |
| Epoch[71] Batch [3000] Speed: 1290.65 samples/sec accuracy=0.576875 top_k_accuracy_5=0.796875 | |
| Epoch[71] Batch [3100] Speed: 1314.03 samples/sec accuracy=0.576289 top_k_accuracy_5=0.795391 | |
| Epoch[71] Batch [3200] Speed: 1307.35 samples/sec accuracy=0.585508 top_k_accuracy_5=0.801562 | |
| Epoch[71] Batch [3300] Speed: 1300.13 samples/sec accuracy=0.580586 top_k_accuracy_5=0.794609 | |
| Epoch[71] Batch [3400] Speed: 1309.52 samples/sec accuracy=0.585039 top_k_accuracy_5=0.798633 | |
| Epoch[71] Batch [3500] Speed: 1313.79 samples/sec accuracy=0.584648 top_k_accuracy_5=0.796680 | |
| Epoch[71] Batch [3600] Speed: 1301.86 samples/sec accuracy=0.580625 top_k_accuracy_5=0.797969 | |
| Epoch[71] Batch [3700] Speed: 1298.84 samples/sec accuracy=0.579570 top_k_accuracy_5=0.797461 | |
| Epoch[71] Batch [3800] Speed: 1309.47 samples/sec accuracy=0.584922 top_k_accuracy_5=0.802461 | |
| Epoch[71] Batch [3900] Speed: 1307.86 samples/sec accuracy=0.581172 top_k_accuracy_5=0.799023 | |
| Epoch[71] Batch [4000] Speed: 1302.56 samples/sec accuracy=0.584922 top_k_accuracy_5=0.805469 | |
| Epoch[71] Batch [4100] Speed: 1312.49 samples/sec accuracy=0.574453 top_k_accuracy_5=0.796211 | |
| Epoch[71] Batch [4200] Speed: 1305.03 samples/sec accuracy=0.581016 top_k_accuracy_5=0.798398 | |
| Epoch[71] Batch [4300] Speed: 1314.34 samples/sec accuracy=0.579648 top_k_accuracy_5=0.795898 | |
| Epoch[71] Batch [4400] Speed: 1307.18 samples/sec accuracy=0.582109 top_k_accuracy_5=0.798750 | |
| Epoch[71] Batch [4500] Speed: 1303.10 samples/sec accuracy=0.584883 top_k_accuracy_5=0.798438 | |
| Epoch[71] Batch [4600] Speed: 1298.08 samples/sec accuracy=0.577266 top_k_accuracy_5=0.796641 | |
| Epoch[71] Batch [4700] Speed: 1305.96 samples/sec accuracy=0.585977 top_k_accuracy_5=0.802461 | |
| Epoch[71] Batch [4800] Speed: 1313.12 samples/sec accuracy=0.583594 top_k_accuracy_5=0.800977 | |
| Epoch[71] Batch [4900] Speed: 1312.33 samples/sec accuracy=0.590156 top_k_accuracy_5=0.800586 | |
| Epoch[71] Batch [5000] Speed: 1300.20 samples/sec accuracy=0.579688 top_k_accuracy_5=0.797969 | |
| Epoch[71] Train-accuracy=0.581055 | |
| Epoch[71] Train-top_k_accuracy_5=0.787109 | |
| Epoch[71] Time cost=980.281 | |
| Saved checkpoint to "model/resnet18-0072.params" | |
| Epoch[71] Validation-accuracy=0.578526 | |
| Epoch[71] Validation-top_k_accuracy_5=0.798818 | |
| Epoch[72] Batch [100] Speed: 1305.06 samples/sec accuracy=0.583540 top_k_accuracy_5=0.798654 | |
| Epoch[72] Batch [200] Speed: 1313.96 samples/sec accuracy=0.579258 top_k_accuracy_5=0.795898 | |
| Epoch[72] Batch [300] Speed: 1318.66 samples/sec accuracy=0.582344 top_k_accuracy_5=0.800469 | |
| Epoch[72] Batch [400] Speed: 1298.38 samples/sec accuracy=0.580508 top_k_accuracy_5=0.796172 | |
| Epoch[72] Batch [500] Speed: 1304.32 samples/sec accuracy=0.581328 top_k_accuracy_5=0.798750 | |
| Epoch[72] Batch [600] Speed: 1313.74 samples/sec accuracy=0.578750 top_k_accuracy_5=0.795898 | |
| Epoch[72] Batch [700] Speed: 1305.22 samples/sec accuracy=0.580430 top_k_accuracy_5=0.793555 | |
| Epoch[72] Batch [800] Speed: 1309.21 samples/sec accuracy=0.579805 top_k_accuracy_5=0.794180 | |
| Epoch[72] Batch [900] Speed: 1306.91 samples/sec accuracy=0.579922 top_k_accuracy_5=0.796797 | |
| Epoch[72] Batch [1000] Speed: 1306.03 samples/sec accuracy=0.581328 top_k_accuracy_5=0.797695 | |
| Epoch[72] Batch [1100] Speed: 1307.77 samples/sec accuracy=0.578359 top_k_accuracy_5=0.798281 | |
| Epoch[72] Batch [1200] Speed: 1308.56 samples/sec accuracy=0.578867 top_k_accuracy_5=0.796602 | |
| Epoch[72] Batch [1300] Speed: 1303.50 samples/sec accuracy=0.582070 top_k_accuracy_5=0.793203 | |
| Epoch[72] Batch [1400] Speed: 1310.20 samples/sec accuracy=0.576836 top_k_accuracy_5=0.796367 | |
| Epoch[72] Batch [1500] Speed: 1302.27 samples/sec accuracy=0.576055 top_k_accuracy_5=0.793125 | |
| Epoch[72] Batch [1600] Speed: 1305.46 samples/sec accuracy=0.577969 top_k_accuracy_5=0.795391 | |
| Epoch[72] Batch [1700] Speed: 1308.38 samples/sec accuracy=0.580391 top_k_accuracy_5=0.797578 | |
| Epoch[72] Batch [1800] Speed: 1307.66 samples/sec accuracy=0.578047 top_k_accuracy_5=0.797031 | |
| Epoch[72] Batch [1900] Speed: 1305.51 samples/sec accuracy=0.580078 top_k_accuracy_5=0.799180 | |
| Epoch[72] Batch [2000] Speed: 1304.05 samples/sec accuracy=0.577656 top_k_accuracy_5=0.796641 | |
| Epoch[72] Batch [2100] Speed: 1301.13 samples/sec accuracy=0.573711 top_k_accuracy_5=0.794375 | |
| Epoch[72] Batch [2200] Speed: 1300.29 samples/sec accuracy=0.583711 top_k_accuracy_5=0.800742 | |
| Epoch[72] Batch [2300] Speed: 1311.64 samples/sec accuracy=0.575586 top_k_accuracy_5=0.797227 | |
| Epoch[72] Batch [2400] Speed: 1306.96 samples/sec accuracy=0.579492 top_k_accuracy_5=0.798281 | |
| Epoch[72] Batch [2500] Speed: 1301.82 samples/sec accuracy=0.584414 top_k_accuracy_5=0.799375 | |
| Epoch[72] Batch [2600] Speed: 1307.71 samples/sec accuracy=0.577461 top_k_accuracy_5=0.796172 | |
| Epoch[72] Batch [2700] Speed: 1312.70 samples/sec accuracy=0.576875 top_k_accuracy_5=0.795039 | |
| Epoch[72] Batch [2800] Speed: 1309.17 samples/sec accuracy=0.583281 top_k_accuracy_5=0.800000 | |
| Epoch[72] Batch [2900] Speed: 1314.78 samples/sec accuracy=0.585781 top_k_accuracy_5=0.800469 | |
| Epoch[72] Batch [3000] Speed: 1310.88 samples/sec accuracy=0.573555 top_k_accuracy_5=0.791562 | |
| Epoch[72] Batch [3100] Speed: 1311.31 samples/sec accuracy=0.581953 top_k_accuracy_5=0.796992 | |
| Epoch[72] Batch [3200] Speed: 1295.44 samples/sec accuracy=0.580352 top_k_accuracy_5=0.801250 | |
| Epoch[72] Batch [3300] Speed: 1307.73 samples/sec accuracy=0.579453 top_k_accuracy_5=0.794883 | |
| Epoch[72] Batch [3400] Speed: 1313.17 samples/sec accuracy=0.580195 top_k_accuracy_5=0.801953 | |
| Epoch[72] Batch [3500] Speed: 1304.82 samples/sec accuracy=0.581367 top_k_accuracy_5=0.798359 | |
| Epoch[72] Batch [3600] Speed: 1306.99 samples/sec accuracy=0.576055 top_k_accuracy_5=0.793867 | |
| Epoch[72] Batch [3700] Speed: 1313.67 samples/sec accuracy=0.580195 top_k_accuracy_5=0.797656 | |
| Epoch[72] Batch [3800] Speed: 1315.14 samples/sec accuracy=0.584375 top_k_accuracy_5=0.797266 | |
| Epoch[72] Batch [3900] Speed: 1319.25 samples/sec accuracy=0.574766 top_k_accuracy_5=0.794531 | |
| Epoch[72] Batch [4000] Speed: 1311.72 samples/sec accuracy=0.583750 top_k_accuracy_5=0.801836 | |
| Epoch[72] Batch [4100] Speed: 1314.06 samples/sec accuracy=0.579219 top_k_accuracy_5=0.797617 | |
| Epoch[72] Batch [4200] Speed: 1316.34 samples/sec accuracy=0.585508 top_k_accuracy_5=0.800312 | |
| Epoch[72] Batch [4300] Speed: 1303.46 samples/sec accuracy=0.584727 top_k_accuracy_5=0.799453 | |
| Epoch[72] Batch [4400] Speed: 1301.40 samples/sec accuracy=0.584219 top_k_accuracy_5=0.801445 | |
| Epoch[72] Batch [4500] Speed: 1303.38 samples/sec accuracy=0.582070 top_k_accuracy_5=0.797852 | |
| Epoch[72] Batch [4600] Speed: 1309.47 samples/sec accuracy=0.583125 top_k_accuracy_5=0.800508 | |
| Epoch[72] Batch [4700] Speed: 1323.84 samples/sec accuracy=0.585742 top_k_accuracy_5=0.801992 | |
| Epoch[72] Batch [4800] Speed: 1313.69 samples/sec accuracy=0.584297 top_k_accuracy_5=0.799844 | |
| Epoch[72] Batch [4900] Speed: 1303.23 samples/sec accuracy=0.588906 top_k_accuracy_5=0.802188 | |
| Epoch[72] Batch [5000] Speed: 1298.09 samples/sec accuracy=0.581055 top_k_accuracy_5=0.797109 | |
| Epoch[72] Train-accuracy=0.563802 | |
| Epoch[72] Train-top_k_accuracy_5=0.774740 | |
| Epoch[72] Time cost=979.691 | |
| Saved checkpoint to "model/resnet18-0073.params" | |
| Epoch[72] Validation-accuracy=0.577444 | |
| Epoch[72] Validation-top_k_accuracy_5=0.799018 | |
| Epoch[73] Batch [100] Speed: 1295.29 samples/sec accuracy=0.579363 top_k_accuracy_5=0.796759 | |
| Epoch[73] Batch [200] Speed: 1306.00 samples/sec accuracy=0.575313 top_k_accuracy_5=0.796836 | |
| Epoch[73] Batch [300] Speed: 1301.30 samples/sec accuracy=0.582930 top_k_accuracy_5=0.800312 | |
| Epoch[73] Batch [400] Speed: 1307.59 samples/sec accuracy=0.579414 top_k_accuracy_5=0.800039 | |
| Epoch[73] Batch [500] Speed: 1310.05 samples/sec accuracy=0.581680 top_k_accuracy_5=0.796992 | |
| Epoch[73] Batch [600] Speed: 1310.37 samples/sec accuracy=0.578672 top_k_accuracy_5=0.798633 | |
| Epoch[73] Batch [700] Speed: 1307.61 samples/sec accuracy=0.576445 top_k_accuracy_5=0.795586 | |
| Epoch[73] Batch [800] Speed: 1306.15 samples/sec accuracy=0.577812 top_k_accuracy_5=0.793008 | |
| Epoch[73] Batch [900] Speed: 1307.98 samples/sec accuracy=0.578984 top_k_accuracy_5=0.801133 | |
| Epoch[73] Batch [1000] Speed: 1307.52 samples/sec accuracy=0.577539 top_k_accuracy_5=0.795898 | |
| Epoch[73] Batch [1100] Speed: 1310.29 samples/sec accuracy=0.582852 top_k_accuracy_5=0.801250 | |
| Epoch[73] Batch [1200] Speed: 1307.70 samples/sec accuracy=0.581055 top_k_accuracy_5=0.797148 | |
| Epoch[73] Batch [1300] Speed: 1307.13 samples/sec accuracy=0.579375 top_k_accuracy_5=0.792656 | |
| Epoch[73] Batch [1400] Speed: 1306.82 samples/sec accuracy=0.584805 top_k_accuracy_5=0.797852 | |
| Epoch[73] Batch [1500] Speed: 1307.26 samples/sec accuracy=0.579375 top_k_accuracy_5=0.792305 | |
| Epoch[73] Batch [1600] Speed: 1303.72 samples/sec accuracy=0.578750 top_k_accuracy_5=0.798164 | |
| Epoch[73] Batch [1700] Speed: 1299.24 samples/sec accuracy=0.578008 top_k_accuracy_5=0.799297 | |
| Epoch[73] Batch [1800] Speed: 1314.51 samples/sec accuracy=0.576836 top_k_accuracy_5=0.795898 | |
| Epoch[73] Batch [1900] Speed: 1304.04 samples/sec accuracy=0.578047 top_k_accuracy_5=0.794102 | |
| Epoch[73] Batch [2000] Speed: 1306.27 samples/sec accuracy=0.582383 top_k_accuracy_5=0.800039 | |
| Epoch[73] Batch [2100] Speed: 1308.28 samples/sec accuracy=0.581328 top_k_accuracy_5=0.798438 | |
| Epoch[73] Batch [2200] Speed: 1325.47 samples/sec accuracy=0.581289 top_k_accuracy_5=0.796641 | |
| Epoch[73] Batch [2300] Speed: 1300.82 samples/sec accuracy=0.577812 top_k_accuracy_5=0.797383 | |
| Epoch[73] Batch [2400] Speed: 1306.22 samples/sec accuracy=0.580156 top_k_accuracy_5=0.797383 | |
| Epoch[73] Batch [2500] Speed: 1312.83 samples/sec accuracy=0.579141 top_k_accuracy_5=0.799258 | |
| Epoch[73] Batch [2600] Speed: 1303.32 samples/sec accuracy=0.578516 top_k_accuracy_5=0.797148 | |
| Epoch[73] Batch [2700] Speed: 1308.21 samples/sec accuracy=0.583398 top_k_accuracy_5=0.797344 | |
| Epoch[73] Batch [2800] Speed: 1324.58 samples/sec accuracy=0.582852 top_k_accuracy_5=0.796719 | |
| Epoch[73] Batch [2900] Speed: 1305.91 samples/sec accuracy=0.584063 top_k_accuracy_5=0.797891 | |
| Epoch[73] Batch [3000] Speed: 1310.90 samples/sec accuracy=0.575117 top_k_accuracy_5=0.794805 | |
| Epoch[73] Batch [3100] Speed: 1319.63 samples/sec accuracy=0.579375 top_k_accuracy_5=0.799023 | |
| Epoch[73] Batch [3200] Speed: 1312.04 samples/sec accuracy=0.587500 top_k_accuracy_5=0.801016 | |
| Epoch[73] Batch [3300] Speed: 1303.98 samples/sec accuracy=0.579336 top_k_accuracy_5=0.796016 | |
| Epoch[73] Batch [3400] Speed: 1307.46 samples/sec accuracy=0.585742 top_k_accuracy_5=0.804570 | |
| Epoch[73] Batch [3500] Speed: 1313.91 samples/sec accuracy=0.582812 top_k_accuracy_5=0.798281 | |
| Epoch[73] Batch [3600] Speed: 1307.06 samples/sec accuracy=0.583320 top_k_accuracy_5=0.802578 | |
| Epoch[73] Batch [3700] Speed: 1311.29 samples/sec accuracy=0.581914 top_k_accuracy_5=0.799844 | |
| Epoch[73] Batch [3800] Speed: 1311.84 samples/sec accuracy=0.584063 top_k_accuracy_5=0.798984 | |
| Epoch[73] Batch [3900] Speed: 1309.75 samples/sec accuracy=0.582773 top_k_accuracy_5=0.799414 | |
| Epoch[73] Batch [4000] Speed: 1311.87 samples/sec accuracy=0.583359 top_k_accuracy_5=0.800898 | |
| Epoch[73] Batch [4100] Speed: 1317.95 samples/sec accuracy=0.577031 top_k_accuracy_5=0.796328 | |
| Epoch[73] Batch [4200] Speed: 1306.33 samples/sec accuracy=0.581797 top_k_accuracy_5=0.801211 | |
| Epoch[73] Batch [4300] Speed: 1301.57 samples/sec accuracy=0.578750 top_k_accuracy_5=0.796289 | |
| Epoch[73] Batch [4400] Speed: 1313.56 samples/sec accuracy=0.583594 top_k_accuracy_5=0.802891 | |
| Epoch[73] Batch [4500] Speed: 1305.12 samples/sec accuracy=0.583750 top_k_accuracy_5=0.802891 | |
| Epoch[73] Batch [4600] Speed: 1313.53 samples/sec accuracy=0.585195 top_k_accuracy_5=0.798750 | |
| Epoch[73] Batch [4700] Speed: 1306.09 samples/sec accuracy=0.584102 top_k_accuracy_5=0.801875 | |
| Epoch[73] Batch [4800] Speed: 1322.74 samples/sec accuracy=0.581602 top_k_accuracy_5=0.794336 | |
| Epoch[73] Batch [4900] Speed: 1316.22 samples/sec accuracy=0.585508 top_k_accuracy_5=0.802500 | |
| Epoch[73] Batch [5000] Speed: 1298.49 samples/sec accuracy=0.580195 top_k_accuracy_5=0.798984 | |
| Epoch[73] Train-accuracy=0.557617 | |
| Epoch[73] Train-top_k_accuracy_5=0.783203 | |
| Epoch[73] Time cost=979.297 | |
| Saved checkpoint to "model/resnet18-0074.params" | |
| Epoch[73] Validation-accuracy=0.578663 | |
| Epoch[73] Validation-top_k_accuracy_5=0.801080 | |
| Epoch[74] Batch [100] Speed: 1305.95 samples/sec accuracy=0.583153 top_k_accuracy_5=0.801361 | |
| Epoch[74] Batch [200] Speed: 1310.18 samples/sec accuracy=0.578320 top_k_accuracy_5=0.798281 | |
| Epoch[74] Batch [300] Speed: 1331.03 samples/sec accuracy=0.578320 top_k_accuracy_5=0.796875 | |
| Epoch[74] Batch [400] Speed: 1302.16 samples/sec accuracy=0.578945 top_k_accuracy_5=0.796094 | |
| Epoch[74] Batch [500] Speed: 1325.33 samples/sec accuracy=0.585391 top_k_accuracy_5=0.800039 | |
| Epoch[74] Batch [600] Speed: 1307.77 samples/sec accuracy=0.580391 top_k_accuracy_5=0.795586 | |
| Epoch[74] Batch [700] Speed: 1314.38 samples/sec accuracy=0.576953 top_k_accuracy_5=0.795898 | |
| Epoch[74] Batch [800] Speed: 1308.74 samples/sec accuracy=0.574805 top_k_accuracy_5=0.794570 | |
| Epoch[74] Batch [900] Speed: 1307.08 samples/sec accuracy=0.580586 top_k_accuracy_5=0.797656 | |
| Epoch[74] Batch [1000] Speed: 1334.83 samples/sec accuracy=0.580078 top_k_accuracy_5=0.797461 | |
| Epoch[74] Batch [1100] Speed: 1319.53 samples/sec accuracy=0.587344 top_k_accuracy_5=0.801602 | |
| Epoch[74] Batch [1200] Speed: 1319.96 samples/sec accuracy=0.581836 top_k_accuracy_5=0.801562 | |
| Epoch[74] Batch [1300] Speed: 1318.56 samples/sec accuracy=0.580195 top_k_accuracy_5=0.794570 | |
| Epoch[74] Batch [1400] Speed: 1325.09 samples/sec accuracy=0.585898 top_k_accuracy_5=0.800586 | |
| Epoch[74] Batch [1500] Speed: 1330.33 samples/sec accuracy=0.577930 top_k_accuracy_5=0.793750 | |
| Epoch[74] Batch [1600] Speed: 1320.37 samples/sec accuracy=0.577891 top_k_accuracy_5=0.797383 | |
| Epoch[74] Batch [1700] Speed: 1321.85 samples/sec accuracy=0.583320 top_k_accuracy_5=0.798164 | |
| Epoch[74] Batch [1800] Speed: 1326.48 samples/sec accuracy=0.576797 top_k_accuracy_5=0.798398 | |
| Epoch[74] Batch [1900] Speed: 1313.42 samples/sec accuracy=0.580898 top_k_accuracy_5=0.799297 | |
| Epoch[74] Batch [2000] Speed: 1313.24 samples/sec accuracy=0.582695 top_k_accuracy_5=0.800000 | |
| Epoch[74] Batch [2100] Speed: 1306.52 samples/sec accuracy=0.580195 top_k_accuracy_5=0.797891 | |
| Epoch[74] Batch [2200] Speed: 1294.94 samples/sec accuracy=0.584727 top_k_accuracy_5=0.799336 | |
| Epoch[74] Batch [2300] Speed: 1300.79 samples/sec accuracy=0.576641 top_k_accuracy_5=0.794297 | |
| Epoch[74] Batch [2400] Speed: 1304.69 samples/sec accuracy=0.582031 top_k_accuracy_5=0.800039 | |
| Epoch[74] Batch [2500] Speed: 1300.02 samples/sec accuracy=0.580078 top_k_accuracy_5=0.798516 | |
| Epoch[74] Batch [2600] Speed: 1309.39 samples/sec accuracy=0.579961 top_k_accuracy_5=0.798750 | |
| Epoch[74] Batch [2700] Speed: 1305.50 samples/sec accuracy=0.575313 top_k_accuracy_5=0.795391 | |
| Epoch[74] Batch [2800] Speed: 1308.40 samples/sec accuracy=0.579648 top_k_accuracy_5=0.794180 | |
| Epoch[74] Batch [2900] Speed: 1298.34 samples/sec accuracy=0.589414 top_k_accuracy_5=0.799922 | |
| Epoch[74] Batch [3000] Speed: 1303.72 samples/sec accuracy=0.577187 top_k_accuracy_5=0.797578 | |
| Epoch[74] Batch [3100] Speed: 1297.41 samples/sec accuracy=0.581992 top_k_accuracy_5=0.798594 | |
| Epoch[74] Batch [3200] Speed: 1306.01 samples/sec accuracy=0.587422 top_k_accuracy_5=0.803750 | |
| Epoch[74] Batch [3300] Speed: 1298.37 samples/sec accuracy=0.580586 top_k_accuracy_5=0.794727 | |
| Epoch[74] Batch [3400] Speed: 1301.73 samples/sec accuracy=0.584922 top_k_accuracy_5=0.803438 | |
| Epoch[74] Batch [3500] Speed: 1297.25 samples/sec accuracy=0.580352 top_k_accuracy_5=0.799414 | |
| Epoch[74] Batch [3600] Speed: 1301.11 samples/sec accuracy=0.583477 top_k_accuracy_5=0.801055 | |
| Epoch[74] Batch [3700] Speed: 1307.23 samples/sec accuracy=0.581211 top_k_accuracy_5=0.799531 | |
| Epoch[74] Batch [3800] Speed: 1302.55 samples/sec accuracy=0.583711 top_k_accuracy_5=0.800586 | |
| Epoch[74] Batch [3900] Speed: 1295.23 samples/sec accuracy=0.583281 top_k_accuracy_5=0.796953 | |
| Epoch[74] Batch [4000] Speed: 1306.42 samples/sec accuracy=0.589336 top_k_accuracy_5=0.805508 | |
| Epoch[74] Batch [4100] Speed: 1299.51 samples/sec accuracy=0.576133 top_k_accuracy_5=0.800000 | |
| Epoch[74] Batch [4200] Speed: 1312.70 samples/sec accuracy=0.581133 top_k_accuracy_5=0.800234 | |
| Epoch[74] Batch [4300] Speed: 1294.17 samples/sec accuracy=0.582070 top_k_accuracy_5=0.795039 | |
| Epoch[74] Batch [4400] Speed: 1304.56 samples/sec accuracy=0.582773 top_k_accuracy_5=0.800273 | |
| Epoch[74] Batch [4500] Speed: 1294.12 samples/sec accuracy=0.584570 top_k_accuracy_5=0.799961 | |
| Epoch[74] Batch [4600] Speed: 1295.64 samples/sec accuracy=0.583086 top_k_accuracy_5=0.802344 | |
| Epoch[74] Batch [4700] Speed: 1296.59 samples/sec accuracy=0.586328 top_k_accuracy_5=0.802656 | |
| Epoch[74] Batch [4800] Speed: 1300.12 samples/sec accuracy=0.581133 top_k_accuracy_5=0.800469 | |
| Epoch[74] Batch [4900] Speed: 1295.61 samples/sec accuracy=0.590273 top_k_accuracy_5=0.804414 | |
| Epoch[74] Batch [5000] Speed: 1291.55 samples/sec accuracy=0.579063 top_k_accuracy_5=0.797344 | |
| Epoch[74] Train-accuracy=0.571615 | |
| Epoch[74] Train-top_k_accuracy_5=0.763021 | |
| Epoch[74] Time cost=979.929 | |
| Saved checkpoint to "model/resnet18-0075.params" | |
| Epoch[74] Validation-accuracy=0.578986 | |
| Epoch[74] Validation-top_k_accuracy_5=0.800501 | |
| Epoch[75] Batch [100] Speed: 1293.98 samples/sec accuracy=0.581877 top_k_accuracy_5=0.800240 | |
| Epoch[75] Batch [200] Speed: 1299.44 samples/sec accuracy=0.580195 top_k_accuracy_5=0.802617 | |
| Epoch[75] Batch [300] Speed: 1291.86 samples/sec accuracy=0.589102 top_k_accuracy_5=0.800000 | |
| Epoch[75] Batch [400] Speed: 1302.24 samples/sec accuracy=0.580039 top_k_accuracy_5=0.796406 | |
| Epoch[75] Batch [500] Speed: 1306.22 samples/sec accuracy=0.584453 top_k_accuracy_5=0.799453 | |
| Epoch[75] Batch [600] Speed: 1289.45 samples/sec accuracy=0.584023 top_k_accuracy_5=0.799102 | |
| Epoch[75] Batch [700] Speed: 1299.97 samples/sec accuracy=0.582500 top_k_accuracy_5=0.795781 | |
| Epoch[75] Batch [800] Speed: 1304.87 samples/sec accuracy=0.578438 top_k_accuracy_5=0.797695 | |
| Epoch[75] Batch [900] Speed: 1305.87 samples/sec accuracy=0.579219 top_k_accuracy_5=0.794609 | |
| Epoch[75] Batch [1000] Speed: 1308.66 samples/sec accuracy=0.584375 top_k_accuracy_5=0.800156 | |
| Epoch[75] Batch [1100] Speed: 1308.91 samples/sec accuracy=0.582070 top_k_accuracy_5=0.798203 | |
| Epoch[75] Batch [1200] Speed: 1309.56 samples/sec accuracy=0.582383 top_k_accuracy_5=0.800781 | |
| Epoch[75] Batch [1300] Speed: 1294.81 samples/sec accuracy=0.576914 top_k_accuracy_5=0.793633 | |
| Epoch[75] Batch [1400] Speed: 1306.95 samples/sec accuracy=0.582852 top_k_accuracy_5=0.800859 | |
| Epoch[75] Batch [1500] Speed: 1292.41 samples/sec accuracy=0.581836 top_k_accuracy_5=0.797852 | |
| Epoch[75] Batch [1600] Speed: 1298.25 samples/sec accuracy=0.577852 top_k_accuracy_5=0.795547 | |
| Epoch[75] Batch [1700] Speed: 1289.13 samples/sec accuracy=0.580820 top_k_accuracy_5=0.798398 | |
| Epoch[75] Batch [1800] Speed: 1299.76 samples/sec accuracy=0.585898 top_k_accuracy_5=0.801992 | |
| Epoch[75] Batch [1900] Speed: 1306.31 samples/sec accuracy=0.579688 top_k_accuracy_5=0.797070 | |
| Epoch[75] Batch [2000] Speed: 1296.57 samples/sec accuracy=0.580547 top_k_accuracy_5=0.798359 | |
| Epoch[75] Batch [2100] Speed: 1312.12 samples/sec accuracy=0.581953 top_k_accuracy_5=0.797461 | |
| Epoch[75] Batch [2200] Speed: 1302.23 samples/sec accuracy=0.582656 top_k_accuracy_5=0.798125 | |
| Epoch[75] Batch [2300] Speed: 1292.60 samples/sec accuracy=0.576953 top_k_accuracy_5=0.797500 | |
| Epoch[75] Batch [2400] Speed: 1307.69 samples/sec accuracy=0.581211 top_k_accuracy_5=0.798164 | |
| Epoch[75] Batch [2500] Speed: 1337.58 samples/sec accuracy=0.583984 top_k_accuracy_5=0.801602 | |
| Epoch[75] Batch [2600] Speed: 1309.77 samples/sec accuracy=0.580078 top_k_accuracy_5=0.800352 | |
| Epoch[75] Batch [2700] Speed: 1320.29 samples/sec accuracy=0.580430 top_k_accuracy_5=0.793633 | |
| Epoch[75] Batch [2800] Speed: 1316.12 samples/sec accuracy=0.586172 top_k_accuracy_5=0.800742 | |
| Epoch[75] Batch [2900] Speed: 1313.89 samples/sec accuracy=0.587695 top_k_accuracy_5=0.802500 | |
| Epoch[75] Batch [3000] Speed: 1321.18 samples/sec accuracy=0.574609 top_k_accuracy_5=0.797539 | |
| Epoch[75] Batch [3100] Speed: 1312.87 samples/sec accuracy=0.580000 top_k_accuracy_5=0.802109 | |
| Epoch[75] Batch [3200] Speed: 1309.98 samples/sec accuracy=0.588086 top_k_accuracy_5=0.801836 | |
| Epoch[75] Batch [3300] Speed: 1318.02 samples/sec accuracy=0.584766 top_k_accuracy_5=0.795742 | |
| Epoch[75] Batch [3400] Speed: 1311.14 samples/sec accuracy=0.583633 top_k_accuracy_5=0.799883 | |
| Epoch[75] Batch [3500] Speed: 1294.18 samples/sec accuracy=0.586562 top_k_accuracy_5=0.798594 | |
| Epoch[75] Batch [3600] Speed: 1296.51 samples/sec accuracy=0.584414 top_k_accuracy_5=0.800117 | |
| Epoch[75] Batch [3700] Speed: 1304.69 samples/sec accuracy=0.580781 top_k_accuracy_5=0.797695 | |
| Epoch[75] Batch [3800] Speed: 1300.83 samples/sec accuracy=0.580781 top_k_accuracy_5=0.797891 | |
| Epoch[75] Batch [3900] Speed: 1304.63 samples/sec accuracy=0.581680 top_k_accuracy_5=0.797422 | |
| Epoch[75] Batch [4000] Speed: 1300.98 samples/sec accuracy=0.587500 top_k_accuracy_5=0.802031 | |
| Epoch[75] Batch [4100] Speed: 1297.83 samples/sec accuracy=0.577187 top_k_accuracy_5=0.799609 | |
| Epoch[75] Batch [4200] Speed: 1297.87 samples/sec accuracy=0.581875 top_k_accuracy_5=0.799492 | |
| Epoch[75] Batch [4300] Speed: 1301.00 samples/sec accuracy=0.579570 top_k_accuracy_5=0.799063 | |
| Epoch[75] Batch [4400] Speed: 1294.32 samples/sec accuracy=0.582930 top_k_accuracy_5=0.802813 | |
| Epoch[75] Batch [4500] Speed: 1299.17 samples/sec accuracy=0.588164 top_k_accuracy_5=0.803047 | |
| Epoch[75] Batch [4600] Speed: 1299.37 samples/sec accuracy=0.584844 top_k_accuracy_5=0.797891 | |
| Epoch[75] Batch [4700] Speed: 1300.80 samples/sec accuracy=0.584258 top_k_accuracy_5=0.798945 | |
| Epoch[75] Batch [4800] Speed: 1299.28 samples/sec accuracy=0.580547 top_k_accuracy_5=0.798555 | |
| Epoch[75] Batch [4900] Speed: 1310.59 samples/sec accuracy=0.591758 top_k_accuracy_5=0.804609 | |
| Epoch[75] Batch [5000] Speed: 1293.06 samples/sec accuracy=0.584727 top_k_accuracy_5=0.804258 | |
| Epoch[75] Train-accuracy=0.595703 | |
| Epoch[75] Train-top_k_accuracy_5=0.791992 | |
| Epoch[75] Time cost=983.153 | |
| Saved checkpoint to "model/resnet18-0076.params" | |
| Epoch[75] Validation-accuracy=0.580308 | |
| Epoch[75] Validation-top_k_accuracy_5=0.802664 | |
| Epoch[76] Batch [100] Speed: 1287.53 samples/sec accuracy=0.582302 top_k_accuracy_5=0.799582 | |
| Epoch[76] Batch [200] Speed: 1311.17 samples/sec accuracy=0.578867 top_k_accuracy_5=0.796289 | |
| Epoch[76] Batch [300] Speed: 1302.56 samples/sec accuracy=0.586055 top_k_accuracy_5=0.801016 | |
| Epoch[76] Batch [400] Speed: 1298.80 samples/sec accuracy=0.584844 top_k_accuracy_5=0.800625 | |
| Epoch[76] Batch [500] Speed: 1303.04 samples/sec accuracy=0.586953 top_k_accuracy_5=0.800898 | |
| Epoch[76] Batch [600] Speed: 1308.33 samples/sec accuracy=0.582969 top_k_accuracy_5=0.797773 | |
| Epoch[76] Batch [700] Speed: 1315.31 samples/sec accuracy=0.579297 top_k_accuracy_5=0.796016 | |
| Epoch[76] Batch [800] Speed: 1309.72 samples/sec accuracy=0.575195 top_k_accuracy_5=0.797539 | |
| Epoch[76] Batch [900] Speed: 1296.94 samples/sec accuracy=0.583086 top_k_accuracy_5=0.801719 | |
| Epoch[76] Batch [1000] Speed: 1311.05 samples/sec accuracy=0.584258 top_k_accuracy_5=0.799492 | |
| Epoch[76] Batch [1100] Speed: 1308.78 samples/sec accuracy=0.582617 top_k_accuracy_5=0.797813 | |
| Epoch[76] Batch [1200] Speed: 1302.42 samples/sec accuracy=0.585156 top_k_accuracy_5=0.802578 | |
| Epoch[76] Batch [1300] Speed: 1303.10 samples/sec accuracy=0.580313 top_k_accuracy_5=0.796602 | |
| Epoch[76] Batch [1400] Speed: 1298.40 samples/sec accuracy=0.586094 top_k_accuracy_5=0.803672 | |
| Epoch[76] Batch [1500] Speed: 1298.06 samples/sec accuracy=0.574727 top_k_accuracy_5=0.796523 | |
| Epoch[76] Batch [1600] Speed: 1303.02 samples/sec accuracy=0.581250 top_k_accuracy_5=0.797422 | |
| Epoch[76] Batch [1700] Speed: 1296.08 samples/sec accuracy=0.585000 top_k_accuracy_5=0.802031 | |
| Epoch[76] Batch [1800] Speed: 1307.66 samples/sec accuracy=0.581953 top_k_accuracy_5=0.799805 | |
| Epoch[76] Batch [1900] Speed: 1301.46 samples/sec accuracy=0.582148 top_k_accuracy_5=0.801094 | |
| Epoch[76] Batch [2000] Speed: 1307.18 samples/sec accuracy=0.583438 top_k_accuracy_5=0.799961 | |
| Epoch[76] Batch [2100] Speed: 1320.72 samples/sec accuracy=0.583242 top_k_accuracy_5=0.796680 | |
| Epoch[76] Batch [2200] Speed: 1319.05 samples/sec accuracy=0.583516 top_k_accuracy_5=0.796914 | |
| Epoch[76] Batch [2300] Speed: 1321.54 samples/sec accuracy=0.580742 top_k_accuracy_5=0.794922 | |
| Epoch[76] Batch [2400] Speed: 1317.29 samples/sec accuracy=0.580313 top_k_accuracy_5=0.799766 | |
| Epoch[76] Batch [2500] Speed: 1323.35 samples/sec accuracy=0.581328 top_k_accuracy_5=0.797109 | |
| Epoch[76] Batch [2600] Speed: 1307.34 samples/sec accuracy=0.578086 top_k_accuracy_5=0.800156 | |
| Epoch[76] Batch [2700] Speed: 1311.21 samples/sec accuracy=0.581562 top_k_accuracy_5=0.797344 | |
| Epoch[76] Batch [2800] Speed: 1301.41 samples/sec accuracy=0.582422 top_k_accuracy_5=0.798203 | |
| Epoch[76] Batch [2900] Speed: 1301.46 samples/sec accuracy=0.588867 top_k_accuracy_5=0.800430 | |
| Epoch[76] Batch [3000] Speed: 1308.08 samples/sec accuracy=0.578828 top_k_accuracy_5=0.801055 | |
| Epoch[76] Batch [3100] Speed: 1310.00 samples/sec accuracy=0.580156 top_k_accuracy_5=0.798242 | |
| Epoch[76] Batch [3200] Speed: 1318.91 samples/sec accuracy=0.584805 top_k_accuracy_5=0.802305 | |
| Epoch[76] Batch [3300] Speed: 1304.38 samples/sec accuracy=0.586094 top_k_accuracy_5=0.797734 | |
| Epoch[76] Batch [3400] Speed: 1304.69 samples/sec accuracy=0.581328 top_k_accuracy_5=0.799805 | |
| Epoch[76] Batch [3500] Speed: 1306.20 samples/sec accuracy=0.580469 top_k_accuracy_5=0.797852 | |
| Epoch[76] Batch [3600] Speed: 1308.25 samples/sec accuracy=0.582539 top_k_accuracy_5=0.798867 | |
| Epoch[76] Batch [3700] Speed: 1317.44 samples/sec accuracy=0.585156 top_k_accuracy_5=0.799922 | |
| Epoch[76] Batch [3800] Speed: 1304.81 samples/sec accuracy=0.587773 top_k_accuracy_5=0.801641 | |
| Epoch[76] Batch [3900] Speed: 1300.22 samples/sec accuracy=0.584609 top_k_accuracy_5=0.802852 | |
| Epoch[76] Batch [4000] Speed: 1301.73 samples/sec accuracy=0.586953 top_k_accuracy_5=0.799180 | |
| Epoch[76] Batch [4100] Speed: 1303.38 samples/sec accuracy=0.582734 top_k_accuracy_5=0.799922 | |
| Epoch[76] Batch [4200] Speed: 1302.47 samples/sec accuracy=0.585781 top_k_accuracy_5=0.804063 | |
| Epoch[76] Batch [4300] Speed: 1305.71 samples/sec accuracy=0.579453 top_k_accuracy_5=0.798164 | |
| Epoch[76] Batch [4400] Speed: 1309.41 samples/sec accuracy=0.581523 top_k_accuracy_5=0.798984 | |
| Epoch[76] Batch [4500] Speed: 1309.18 samples/sec accuracy=0.586875 top_k_accuracy_5=0.802813 | |
| Epoch[76] Batch [4600] Speed: 1297.00 samples/sec accuracy=0.584297 top_k_accuracy_5=0.800820 | |
| Epoch[76] Batch [4700] Speed: 1305.96 samples/sec accuracy=0.585469 top_k_accuracy_5=0.802891 | |
| Epoch[76] Batch [4800] Speed: 1304.50 samples/sec accuracy=0.587187 top_k_accuracy_5=0.802500 | |
| Epoch[76] Batch [4900] Speed: 1303.33 samples/sec accuracy=0.586953 top_k_accuracy_5=0.802227 | |
| Epoch[76] Batch [5000] Speed: 1302.77 samples/sec accuracy=0.579023 top_k_accuracy_5=0.798398 | |
| Epoch[76] Train-accuracy=0.572266 | |
| Epoch[76] Train-top_k_accuracy_5=0.802734 | |
| Epoch[76] Time cost=981.144 | |
| Saved checkpoint to "model/resnet18-0077.params" | |
| Epoch[76] Validation-accuracy=0.580058 | |
| Epoch[76] Validation-top_k_accuracy_5=0.802136 | |
| Epoch[77] Batch [100] Speed: 1297.75 samples/sec accuracy=0.584313 top_k_accuracy_5=0.797184 | |
| Epoch[77] Batch [200] Speed: 1305.56 samples/sec accuracy=0.584844 top_k_accuracy_5=0.801719 | |
| Epoch[77] Batch [300] Speed: 1305.95 samples/sec accuracy=0.582695 top_k_accuracy_5=0.802773 | |
| Epoch[77] Batch [400] Speed: 1306.71 samples/sec accuracy=0.579609 top_k_accuracy_5=0.797891 | |
| Epoch[77] Batch [500] Speed: 1301.49 samples/sec accuracy=0.585313 top_k_accuracy_5=0.800820 | |
| Epoch[77] Batch [600] Speed: 1311.01 samples/sec accuracy=0.588945 top_k_accuracy_5=0.800586 | |
| Epoch[77] Batch [700] Speed: 1303.20 samples/sec accuracy=0.579961 top_k_accuracy_5=0.797578 | |
| Epoch[77] Batch [800] Speed: 1307.69 samples/sec accuracy=0.579414 top_k_accuracy_5=0.798594 | |
| Epoch[77] Batch [900] Speed: 1297.09 samples/sec accuracy=0.579766 top_k_accuracy_5=0.797617 | |
| Epoch[77] Batch [1000] Speed: 1300.26 samples/sec accuracy=0.583633 top_k_accuracy_5=0.799961 | |
| Epoch[77] Batch [1100] Speed: 1291.99 samples/sec accuracy=0.586992 top_k_accuracy_5=0.802305 | |
| Epoch[77] Batch [1200] Speed: 1300.94 samples/sec accuracy=0.585391 top_k_accuracy_5=0.800430 | |
| Epoch[77] Batch [1300] Speed: 1295.88 samples/sec accuracy=0.582578 top_k_accuracy_5=0.797070 | |
| Epoch[77] Batch [1400] Speed: 1299.53 samples/sec accuracy=0.582539 top_k_accuracy_5=0.800547 | |
| Epoch[77] Batch [1500] Speed: 1300.22 samples/sec accuracy=0.584922 top_k_accuracy_5=0.802031 | |
| Epoch[77] Batch [1600] Speed: 1299.40 samples/sec accuracy=0.580195 top_k_accuracy_5=0.795898 | |
| Epoch[77] Batch [1700] Speed: 1291.00 samples/sec accuracy=0.583125 top_k_accuracy_5=0.797734 | |
| Epoch[77] Batch [1800] Speed: 1296.74 samples/sec accuracy=0.579844 top_k_accuracy_5=0.800117 | |
| Epoch[77] Batch [1900] Speed: 1300.87 samples/sec accuracy=0.582305 top_k_accuracy_5=0.798789 | |
| Epoch[77] Batch [2000] Speed: 1292.35 samples/sec accuracy=0.583438 top_k_accuracy_5=0.799297 | |
| Epoch[77] Batch [2100] Speed: 1296.53 samples/sec accuracy=0.585742 top_k_accuracy_5=0.801328 | |
| Epoch[77] Batch [2200] Speed: 1288.14 samples/sec accuracy=0.585781 top_k_accuracy_5=0.802930 | |
| Epoch[77] Batch [2300] Speed: 1298.74 samples/sec accuracy=0.579805 top_k_accuracy_5=0.798711 | |
| Epoch[77] Batch [2400] Speed: 1284.74 samples/sec accuracy=0.583203 top_k_accuracy_5=0.797969 | |
| Epoch[77] Batch [2500] Speed: 1290.12 samples/sec accuracy=0.581602 top_k_accuracy_5=0.798711 | |
| Epoch[77] Batch [2600] Speed: 1290.70 samples/sec accuracy=0.585039 top_k_accuracy_5=0.803906 | |
| Epoch[77] Batch [2700] Speed: 1293.28 samples/sec accuracy=0.581523 top_k_accuracy_5=0.795820 | |
| Epoch[77] Batch [2800] Speed: 1282.06 samples/sec accuracy=0.584336 top_k_accuracy_5=0.801367 | |
| Epoch[77] Batch [2900] Speed: 1297.73 samples/sec accuracy=0.586562 top_k_accuracy_5=0.799023 | |
| Epoch[77] Batch [3000] Speed: 1284.39 samples/sec accuracy=0.578008 top_k_accuracy_5=0.798047 | |
| Epoch[77] Batch [3100] Speed: 1291.76 samples/sec accuracy=0.583672 top_k_accuracy_5=0.800820 | |
| Epoch[77] Batch [3200] Speed: 1289.70 samples/sec accuracy=0.586094 top_k_accuracy_5=0.800703 | |
| Epoch[77] Batch [3300] Speed: 1289.99 samples/sec accuracy=0.588086 top_k_accuracy_5=0.801133 | |
| Epoch[77] Batch [3400] Speed: 1292.13 samples/sec accuracy=0.580352 top_k_accuracy_5=0.803477 | |
| Epoch[77] Batch [3500] Speed: 1292.78 samples/sec accuracy=0.585273 top_k_accuracy_5=0.798125 | |
| Epoch[77] Batch [3600] Speed: 1292.86 samples/sec accuracy=0.580000 top_k_accuracy_5=0.801445 | |
| Epoch[77] Batch [3700] Speed: 1291.32 samples/sec accuracy=0.583906 top_k_accuracy_5=0.801055 | |
| Epoch[77] Batch [3800] Speed: 1293.18 samples/sec accuracy=0.581953 top_k_accuracy_5=0.802852 | |
| Epoch[77] Batch [3900] Speed: 1282.44 samples/sec accuracy=0.584375 top_k_accuracy_5=0.800977 | |
| Epoch[77] Batch [4000] Speed: 1291.93 samples/sec accuracy=0.588750 top_k_accuracy_5=0.804609 | |
| Epoch[77] Batch [4100] Speed: 1290.10 samples/sec accuracy=0.580430 top_k_accuracy_5=0.795898 | |
| Epoch[77] Batch [4200] Speed: 1295.26 samples/sec accuracy=0.583398 top_k_accuracy_5=0.802969 | |
| Epoch[77] Batch [4300] Speed: 1290.44 samples/sec accuracy=0.585938 top_k_accuracy_5=0.800078 | |
| Epoch[77] Batch [4400] Speed: 1291.53 samples/sec accuracy=0.584609 top_k_accuracy_5=0.802617 | |
| Epoch[77] Batch [4500] Speed: 1284.24 samples/sec accuracy=0.587617 top_k_accuracy_5=0.805117 | |
| Epoch[77] Batch [4600] Speed: 1294.45 samples/sec accuracy=0.581914 top_k_accuracy_5=0.801797 | |
| Epoch[77] Batch [4700] Speed: 1294.94 samples/sec accuracy=0.587305 top_k_accuracy_5=0.801016 | |
| Epoch[77] Batch [4800] Speed: 1286.47 samples/sec accuracy=0.583477 top_k_accuracy_5=0.800273 | |
| Epoch[77] Batch [4900] Speed: 1295.74 samples/sec accuracy=0.586484 top_k_accuracy_5=0.804258 | |
| Epoch[77] Batch [5000] Speed: 1287.53 samples/sec accuracy=0.582773 top_k_accuracy_5=0.800937 | |
| Epoch[77] Train-accuracy=0.566406 | |
| Epoch[77] Train-top_k_accuracy_5=0.778646 | |
| Epoch[77] Time cost=989.920 | |
| Saved checkpoint to "model/resnet18-0078.params" | |
| Epoch[77] Validation-accuracy=0.580389 | |
| Epoch[77] Validation-top_k_accuracy_5=0.802264 | |
| Epoch[78] Batch [100] Speed: 1270.40 samples/sec accuracy=0.582805 top_k_accuracy_5=0.799776 | |
| Epoch[78] Batch [200] Speed: 1299.35 samples/sec accuracy=0.585625 top_k_accuracy_5=0.803828 | |
| Epoch[78] Batch [300] Speed: 1284.65 samples/sec accuracy=0.585625 top_k_accuracy_5=0.805312 | |
| Epoch[78] Batch [400] Speed: 1287.22 samples/sec accuracy=0.580586 top_k_accuracy_5=0.799492 | |
| Epoch[78] Batch [500] Speed: 1294.14 samples/sec accuracy=0.586992 top_k_accuracy_5=0.803906 | |
| Epoch[78] Batch [600] Speed: 1287.67 samples/sec accuracy=0.584883 top_k_accuracy_5=0.796680 | |
| Epoch[78] Batch [700] Speed: 1294.79 samples/sec accuracy=0.576562 top_k_accuracy_5=0.796914 | |
| Epoch[78] Batch [800] Speed: 1284.62 samples/sec accuracy=0.580586 top_k_accuracy_5=0.798672 | |
| Epoch[78] Batch [900] Speed: 1293.12 samples/sec accuracy=0.579844 top_k_accuracy_5=0.796562 | |
| Epoch[78] Batch [1000] Speed: 1289.75 samples/sec accuracy=0.583203 top_k_accuracy_5=0.801055 | |
| Epoch[78] Batch [1100] Speed: 1294.07 samples/sec accuracy=0.582031 top_k_accuracy_5=0.798438 | |
| Epoch[78] Batch [1200] Speed: 1280.82 samples/sec accuracy=0.582852 top_k_accuracy_5=0.800625 | |
| Epoch[78] Batch [1300] Speed: 1292.69 samples/sec accuracy=0.584883 top_k_accuracy_5=0.799219 | |
| Epoch[78] Batch [1400] Speed: 1290.52 samples/sec accuracy=0.582617 top_k_accuracy_5=0.800117 | |
| Epoch[78] Batch [1500] Speed: 1297.38 samples/sec accuracy=0.579688 top_k_accuracy_5=0.796133 | |
| Epoch[78] Batch [1600] Speed: 1286.11 samples/sec accuracy=0.584805 top_k_accuracy_5=0.799727 | |
| Epoch[78] Batch [1700] Speed: 1293.47 samples/sec accuracy=0.583633 top_k_accuracy_5=0.800898 | |
| Epoch[78] Batch [1800] Speed: 1285.49 samples/sec accuracy=0.583945 top_k_accuracy_5=0.799687 | |
| Epoch[78] Batch [1900] Speed: 1297.67 samples/sec accuracy=0.580625 top_k_accuracy_5=0.797266 | |
| Epoch[78] Batch [2000] Speed: 1290.80 samples/sec accuracy=0.582617 top_k_accuracy_5=0.800508 | |
| Epoch[78] Batch [2100] Speed: 1284.75 samples/sec accuracy=0.582227 top_k_accuracy_5=0.795742 | |
| Epoch[78] Batch [2200] Speed: 1293.39 samples/sec accuracy=0.580586 top_k_accuracy_5=0.800742 | |
| Epoch[78] Batch [2300] Speed: 1293.43 samples/sec accuracy=0.583555 top_k_accuracy_5=0.799609 | |
| Epoch[78] Batch [2400] Speed: 1288.28 samples/sec accuracy=0.581523 top_k_accuracy_5=0.801914 | |
| Epoch[78] Batch [2500] Speed: 1286.88 samples/sec accuracy=0.582773 top_k_accuracy_5=0.798281 | |
| Epoch[78] Batch [2600] Speed: 1290.50 samples/sec accuracy=0.579727 top_k_accuracy_5=0.799258 | |
| Epoch[78] Batch [2700] Speed: 1301.12 samples/sec accuracy=0.585469 top_k_accuracy_5=0.799844 | |
| Epoch[78] Batch [2800] Speed: 1290.70 samples/sec accuracy=0.583281 top_k_accuracy_5=0.801680 | |
| Epoch[78] Batch [2900] Speed: 1289.01 samples/sec accuracy=0.587773 top_k_accuracy_5=0.803203 | |
| Epoch[78] Batch [3000] Speed: 1288.06 samples/sec accuracy=0.583945 top_k_accuracy_5=0.798789 | |
| Epoch[78] Batch [3100] Speed: 1286.83 samples/sec accuracy=0.583164 top_k_accuracy_5=0.796992 | |
| Epoch[78] Batch [3200] Speed: 1288.95 samples/sec accuracy=0.585938 top_k_accuracy_5=0.803242 | |
| Epoch[78] Batch [3300] Speed: 1289.03 samples/sec accuracy=0.586797 top_k_accuracy_5=0.800430 | |
| Epoch[78] Batch [3400] Speed: 1294.35 samples/sec accuracy=0.582617 top_k_accuracy_5=0.803047 | |
| Epoch[78] Batch [3500] Speed: 1297.84 samples/sec accuracy=0.587305 top_k_accuracy_5=0.804219 | |
| Epoch[78] Batch [3600] Speed: 1296.56 samples/sec accuracy=0.586992 top_k_accuracy_5=0.803398 | |
| Epoch[78] Batch [3700] Speed: 1299.32 samples/sec accuracy=0.585977 top_k_accuracy_5=0.802266 | |
| Epoch[78] Batch [3800] Speed: 1309.85 samples/sec accuracy=0.583828 top_k_accuracy_5=0.802109 | |
| Epoch[78] Batch [3900] Speed: 1298.36 samples/sec accuracy=0.586172 top_k_accuracy_5=0.800312 | |
| Epoch[78] Batch [4000] Speed: 1298.17 samples/sec accuracy=0.590000 top_k_accuracy_5=0.804727 | |
| Epoch[78] Batch [4100] Speed: 1292.79 samples/sec accuracy=0.585195 top_k_accuracy_5=0.800586 | |
| Epoch[78] Batch [4200] Speed: 1294.92 samples/sec accuracy=0.588516 top_k_accuracy_5=0.803828 | |
| Epoch[78] Batch [4300] Speed: 1297.45 samples/sec accuracy=0.579766 top_k_accuracy_5=0.799961 | |
| Epoch[78] Batch [4400] Speed: 1298.72 samples/sec accuracy=0.584961 top_k_accuracy_5=0.803750 | |
| Epoch[78] Batch [4500] Speed: 1303.94 samples/sec accuracy=0.587695 top_k_accuracy_5=0.802227 | |
| Epoch[78] Batch [4600] Speed: 1293.26 samples/sec accuracy=0.583047 top_k_accuracy_5=0.798398 | |
| Epoch[78] Batch [4700] Speed: 1306.02 samples/sec accuracy=0.587148 top_k_accuracy_5=0.799258 | |
| Epoch[78] Batch [4800] Speed: 1298.54 samples/sec accuracy=0.581953 top_k_accuracy_5=0.799961 | |
| Epoch[78] Batch [4900] Speed: 1309.59 samples/sec accuracy=0.590195 top_k_accuracy_5=0.803164 | |
| Epoch[78] Batch [5000] Speed: 1294.99 samples/sec accuracy=0.581992 top_k_accuracy_5=0.801914 | |
| Epoch[78] Train-accuracy=0.572266 | |
| Epoch[78] Train-top_k_accuracy_5=0.769531 | |
| Epoch[78] Time cost=991.344 | |
| Saved checkpoint to "model/resnet18-0079.params" | |
| Epoch[78] Validation-accuracy=0.581611 | |
| Epoch[78] Validation-top_k_accuracy_5=0.801903 | |
| Epoch[79] Batch [100] Speed: 1285.23 samples/sec accuracy=0.588722 top_k_accuracy_5=0.803218 | |
| Epoch[79] Batch [200] Speed: 1302.49 samples/sec accuracy=0.581289 top_k_accuracy_5=0.799609 | |
| Epoch[79] Batch [300] Speed: 1305.65 samples/sec accuracy=0.583945 top_k_accuracy_5=0.798906 | |
| Epoch[79] Batch [400] Speed: 1300.48 samples/sec accuracy=0.583086 top_k_accuracy_5=0.797695 | |
| Epoch[79] Batch [500] Speed: 1307.78 samples/sec accuracy=0.581445 top_k_accuracy_5=0.803008 | |
| Epoch[79] Batch [600] Speed: 1303.22 samples/sec accuracy=0.583555 top_k_accuracy_5=0.799453 | |
| Epoch[79] Batch [700] Speed: 1302.59 samples/sec accuracy=0.583750 top_k_accuracy_5=0.798672 | |
| Epoch[79] Batch [800] Speed: 1304.28 samples/sec accuracy=0.578750 top_k_accuracy_5=0.797266 | |
| Epoch[79] Batch [900] Speed: 1298.18 samples/sec accuracy=0.586172 top_k_accuracy_5=0.800703 | |
| Epoch[79] Batch [1000] Speed: 1298.74 samples/sec accuracy=0.583359 top_k_accuracy_5=0.800430 | |
| Epoch[79] Batch [1100] Speed: 1305.10 samples/sec accuracy=0.586680 top_k_accuracy_5=0.803984 | |
| Epoch[79] Batch [1200] Speed: 1304.16 samples/sec accuracy=0.584453 top_k_accuracy_5=0.802188 | |
| Epoch[79] Batch [1300] Speed: 1297.72 samples/sec accuracy=0.579883 top_k_accuracy_5=0.795195 | |
| Epoch[79] Batch [1400] Speed: 1300.97 samples/sec accuracy=0.584258 top_k_accuracy_5=0.800898 | |
| Epoch[79] Batch [1500] Speed: 1302.26 samples/sec accuracy=0.581836 top_k_accuracy_5=0.795781 | |
| Epoch[79] Batch [1600] Speed: 1307.50 samples/sec accuracy=0.582305 top_k_accuracy_5=0.800391 | |
| Epoch[79] Batch [1700] Speed: 1307.33 samples/sec accuracy=0.583633 top_k_accuracy_5=0.799922 | |
| Epoch[79] Batch [1800] Speed: 1307.22 samples/sec accuracy=0.587812 top_k_accuracy_5=0.801680 | |
| Epoch[79] Batch [1900] Speed: 1307.56 samples/sec accuracy=0.583828 top_k_accuracy_5=0.803047 | |
| Epoch[79] Batch [2000] Speed: 1301.10 samples/sec accuracy=0.586172 top_k_accuracy_5=0.799375 | |
| Epoch[79] Batch [2100] Speed: 1307.78 samples/sec accuracy=0.582695 top_k_accuracy_5=0.799492 | |
| Epoch[79] Batch [2200] Speed: 1305.54 samples/sec accuracy=0.584453 top_k_accuracy_5=0.796250 | |
| Epoch[79] Batch [2300] Speed: 1300.82 samples/sec accuracy=0.585938 top_k_accuracy_5=0.800273 | |
| Epoch[79] Batch [2400] Speed: 1298.34 samples/sec accuracy=0.584883 top_k_accuracy_5=0.801328 | |
| Epoch[79] Batch [2500] Speed: 1295.49 samples/sec accuracy=0.584727 top_k_accuracy_5=0.800859 | |
| Epoch[79] Batch [2600] Speed: 1292.86 samples/sec accuracy=0.581367 top_k_accuracy_5=0.800156 | |
| Epoch[79] Batch [2700] Speed: 1291.96 samples/sec accuracy=0.585391 top_k_accuracy_5=0.796484 | |
| Epoch[79] Batch [2800] Speed: 1313.09 samples/sec accuracy=0.586289 top_k_accuracy_5=0.801367 | |
| Epoch[79] Batch [2900] Speed: 1301.61 samples/sec accuracy=0.587148 top_k_accuracy_5=0.799297 | |
| Epoch[79] Batch [3000] Speed: 1295.83 samples/sec accuracy=0.582187 top_k_accuracy_5=0.800469 | |
| Epoch[79] Batch [3100] Speed: 1290.48 samples/sec accuracy=0.580625 top_k_accuracy_5=0.801914 | |
| Epoch[79] Batch [3200] Speed: 1287.07 samples/sec accuracy=0.588789 top_k_accuracy_5=0.804922 | |
| Epoch[79] Batch [3300] Speed: 1297.16 samples/sec accuracy=0.587695 top_k_accuracy_5=0.803477 | |
| Epoch[79] Batch [3400] Speed: 1296.95 samples/sec accuracy=0.582812 top_k_accuracy_5=0.802695 | |
| Epoch[79] Batch [3500] Speed: 1295.20 samples/sec accuracy=0.587031 top_k_accuracy_5=0.801445 | |
| Epoch[79] Batch [3600] Speed: 1298.95 samples/sec accuracy=0.584063 top_k_accuracy_5=0.800391 | |
| Epoch[79] Batch [3700] Speed: 1299.25 samples/sec accuracy=0.586016 top_k_accuracy_5=0.804922 | |
| Epoch[79] Batch [3800] Speed: 1294.94 samples/sec accuracy=0.589844 top_k_accuracy_5=0.801055 | |
| Epoch[79] Batch [3900] Speed: 1299.08 samples/sec accuracy=0.586250 top_k_accuracy_5=0.801797 | |
| Epoch[79] Batch [4000] Speed: 1301.74 samples/sec accuracy=0.589297 top_k_accuracy_5=0.802461 | |
| Epoch[79] Batch [4100] Speed: 1297.88 samples/sec accuracy=0.586406 top_k_accuracy_5=0.802344 | |
| Epoch[79] Batch [4200] Speed: 1296.83 samples/sec accuracy=0.589688 top_k_accuracy_5=0.806641 | |
| Epoch[79] Batch [4300] Speed: 1293.54 samples/sec accuracy=0.583477 top_k_accuracy_5=0.796680 | |
| Epoch[79] Batch [4400] Speed: 1293.30 samples/sec accuracy=0.588086 top_k_accuracy_5=0.804531 | |
| Epoch[79] Batch [4500] Speed: 1299.99 samples/sec accuracy=0.585703 top_k_accuracy_5=0.805273 | |
| Epoch[79] Batch [4600] Speed: 1301.01 samples/sec accuracy=0.585078 top_k_accuracy_5=0.801641 | |
| Epoch[79] Batch [4700] Speed: 1294.38 samples/sec accuracy=0.590117 top_k_accuracy_5=0.802109 | |
| Epoch[79] Batch [4800] Speed: 1307.83 samples/sec accuracy=0.582187 top_k_accuracy_5=0.802695 | |
| Epoch[79] Batch [4900] Speed: 1303.56 samples/sec accuracy=0.589023 top_k_accuracy_5=0.804375 | |
| Epoch[79] Batch [5000] Speed: 1295.37 samples/sec accuracy=0.583203 top_k_accuracy_5=0.799883 | |
| Epoch[79] Train-accuracy=0.576823 | |
| Epoch[79] Train-top_k_accuracy_5=0.781250 | |
| Epoch[79] Time cost=985.801 | |
| Saved checkpoint to "model/resnet18-0080.params" | |
| Epoch[79] Validation-accuracy=0.581470 | |
| Epoch[79] Validation-top_k_accuracy_5=0.802344 |
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| python train_imagenet.py --data-train ~/data/train.rec --data-val ~/data/val.rec --gpus 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15 --data-nthreads 32 --num-layers 18 --batch-size 256 --top-k 5 --model-prefix model/resnet18 --disp-batches 100 --min-random-scale 0.533 | |
| start with arguments Namespace(batch_size=256, benchmark=0, data_nthreads=32, data_train='/home/ubuntu/data/train.rec', data_val='/home/ubuntu/data/val.rec', disp_batches=100, dtype='float32', gpus='0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15', image_shape='3,224,224', kv_store='device', load_epoch=None, lr=0.1, lr_factor=0.1, lr_step_epochs='30,60', max_random_aspect_ratio=0.25, max_random_h=36, max_random_l=50, max_random_rotate_angle=10, max_random_s=50, max_random_scale=1, max_random_shear_ratio=0.1, min_random_scale=0.533, model_prefix='model/resnet18', mom=0.9, monitor=0, network='resnet', num_classes=1000, num_epochs=80, num_examples=1281167, num_layers=18, optimizer='sgd', pad_size=0, random_crop=1, random_mirror=1, rgb_mean='123.68,116.779,103.939', test_io=0, top_k=5, wd=0.0001) | |
| Epoch[0] Batch [100] Speed: 1290.98 samples/sec accuracy=0.002553 top_k_accuracy_5=0.010326 | |
| Epoch[0] Batch [200] Speed: 1278.27 samples/sec accuracy=0.004609 top_k_accuracy_5=0.018242 | |
| Epoch[0] Batch [300] Speed: 1286.29 samples/sec accuracy=0.005000 top_k_accuracy_5=0.024336 | |
| Epoch[0] Batch [400] Speed: 1259.13 samples/sec accuracy=0.007070 top_k_accuracy_5=0.030273 | |
| Epoch[0] Batch [500] Speed: 1267.50 samples/sec accuracy=0.009453 top_k_accuracy_5=0.038008 | |
| Epoch[0] Batch [600] Speed: 1286.04 samples/sec accuracy=0.013320 top_k_accuracy_5=0.046914 | |
| Epoch[0] Batch [700] Speed: 1276.02 samples/sec accuracy=0.015195 top_k_accuracy_5=0.055664 | |
| Epoch[0] Batch [800] Speed: 1303.16 samples/sec accuracy=0.016875 top_k_accuracy_5=0.061289 | |
| Epoch[0] Batch [900] Speed: 1220.41 samples/sec accuracy=0.019570 top_k_accuracy_5=0.068945 | |
| Epoch[0] Batch [1000] Speed: 1181.01 samples/sec accuracy=0.022070 top_k_accuracy_5=0.078320 | |
| Epoch[0] Batch [1100] Speed: 1216.23 samples/sec accuracy=0.024922 top_k_accuracy_5=0.084922 | |
| Epoch[0] Batch [1200] Speed: 1217.46 samples/sec accuracy=0.026602 top_k_accuracy_5=0.088672 | |
| Epoch[0] Batch [1300] Speed: 1214.61 samples/sec accuracy=0.029297 top_k_accuracy_5=0.097305 | |
| Epoch[0] Batch [1400] Speed: 1289.55 samples/sec accuracy=0.031211 top_k_accuracy_5=0.103320 | |
| Epoch[0] Batch [1500] Speed: 1217.23 samples/sec accuracy=0.035039 top_k_accuracy_5=0.112305 | |
| Epoch[0] Batch [1600] Speed: 1280.45 samples/sec accuracy=0.034570 top_k_accuracy_5=0.115039 | |
| Epoch[0] Batch [1700] Speed: 1258.80 samples/sec accuracy=0.041641 top_k_accuracy_5=0.127500 | |
| Epoch[0] Batch [1800] Speed: 1289.20 samples/sec accuracy=0.043359 top_k_accuracy_5=0.133867 | |
| Epoch[0] Batch [1900] Speed: 1277.66 samples/sec accuracy=0.044883 top_k_accuracy_5=0.139414 | |
| Epoch[0] Batch [2000] Speed: 1280.44 samples/sec accuracy=0.045078 top_k_accuracy_5=0.144023 | |
| Epoch[0] Batch [2100] Speed: 1259.60 samples/sec accuracy=0.055703 top_k_accuracy_5=0.157031 | |
| Epoch[0] Batch [2200] Speed: 1262.35 samples/sec accuracy=0.055547 top_k_accuracy_5=0.162852 | |
| Epoch[0] Batch [2300] Speed: 1241.62 samples/sec accuracy=0.060469 top_k_accuracy_5=0.169570 | |
| Epoch[0] Batch [2400] Speed: 1242.93 samples/sec accuracy=0.062930 top_k_accuracy_5=0.177148 | |
| Epoch[0] Batch [2500] Speed: 1245.15 samples/sec accuracy=0.067344 top_k_accuracy_5=0.182422 | |
| Epoch[0] Batch [2600] Speed: 1243.81 samples/sec accuracy=0.066055 top_k_accuracy_5=0.189570 | |
| Epoch[0] Batch [2700] Speed: 1247.70 samples/sec accuracy=0.072383 top_k_accuracy_5=0.197852 | |
| Epoch[0] Batch [2800] Speed: 1249.20 samples/sec accuracy=0.076055 top_k_accuracy_5=0.207266 | |
| Epoch[0] Batch [2900] Speed: 1254.28 samples/sec accuracy=0.080273 top_k_accuracy_5=0.211602 | |
| Epoch[0] Batch [3000] Speed: 1246.58 samples/sec accuracy=0.079414 top_k_accuracy_5=0.212734 | |
| Epoch[0] Batch [3100] Speed: 1255.43 samples/sec accuracy=0.083672 top_k_accuracy_5=0.221562 | |
| Epoch[0] Batch [3200] Speed: 1248.73 samples/sec accuracy=0.088828 top_k_accuracy_5=0.233086 | |
| Epoch[0] Batch [3300] Speed: 1246.69 samples/sec accuracy=0.092305 top_k_accuracy_5=0.235781 | |
| Epoch[0] Batch [3400] Speed: 1243.03 samples/sec accuracy=0.094258 top_k_accuracy_5=0.236094 | |
| Epoch[0] Batch [3500] Speed: 1240.53 samples/sec accuracy=0.096875 top_k_accuracy_5=0.247383 | |
| Epoch[0] Batch [3600] Speed: 1244.20 samples/sec accuracy=0.095586 top_k_accuracy_5=0.246914 | |
| Epoch[0] Batch [3700] Speed: 1245.98 samples/sec accuracy=0.099102 top_k_accuracy_5=0.247422 | |
| Epoch[0] Batch [3800] Speed: 1242.85 samples/sec accuracy=0.103750 top_k_accuracy_5=0.259023 | |
| Epoch[0] Batch [3900] Speed: 1243.90 samples/sec accuracy=0.103359 top_k_accuracy_5=0.262617 | |
| Epoch[0] Batch [4000] Speed: 1234.39 samples/sec accuracy=0.105859 top_k_accuracy_5=0.270039 | |
| Epoch[0] Batch [4100] Speed: 1243.13 samples/sec accuracy=0.111992 top_k_accuracy_5=0.276406 | |
| Epoch[0] Batch [4200] Speed: 1236.31 samples/sec accuracy=0.117344 top_k_accuracy_5=0.279609 | |
| Epoch[0] Batch [4300] Speed: 1240.17 samples/sec accuracy=0.119648 top_k_accuracy_5=0.285742 | |
| Epoch[0] Batch [4400] Speed: 1258.66 samples/sec accuracy=0.120391 top_k_accuracy_5=0.287031 | |
| Epoch[0] Batch [4500] Speed: 1266.88 samples/sec accuracy=0.121953 top_k_accuracy_5=0.299648 | |
| Epoch[0] Batch [4600] Speed: 1241.45 samples/sec accuracy=0.125078 top_k_accuracy_5=0.299570 | |
| Epoch[0] Batch [4700] Speed: 1249.24 samples/sec accuracy=0.128242 top_k_accuracy_5=0.299023 | |
| Epoch[0] Batch [4800] Speed: 1251.44 samples/sec accuracy=0.132422 top_k_accuracy_5=0.306406 | |
| Epoch[0] Batch [4900] Speed: 1249.39 samples/sec accuracy=0.134063 top_k_accuracy_5=0.315195 | |
| Epoch[0] Batch [5000] Speed: 1231.17 samples/sec accuracy=0.130508 top_k_accuracy_5=0.313867 | |
| Epoch[0] Train-accuracy=0.138672 | |
| Epoch[0] Train-top_k_accuracy_5=0.318359 | |
| Epoch[0] Time cost=1033.021 | |
| Saved checkpoint to "model/resnet18-0001.params" | |
| Epoch[0] Validation-accuracy=0.147162 | |
| Epoch[0] Validation-top_k_accuracy_5=0.339027 | |
| Epoch[1] Batch [100] Speed: 1273.98 samples/sec accuracy=0.138382 top_k_accuracy_5=0.327081 | |
| Epoch[1] Batch [200] Speed: 1243.04 samples/sec accuracy=0.141133 top_k_accuracy_5=0.325859 | |
| Epoch[1] Batch [300] Speed: 1233.88 samples/sec accuracy=0.142461 top_k_accuracy_5=0.329883 | |
| Epoch[1] Batch [400] Speed: 1255.79 samples/sec accuracy=0.145273 top_k_accuracy_5=0.331836 | |
| Epoch[1] Batch [500] Speed: 1256.38 samples/sec accuracy=0.149492 top_k_accuracy_5=0.338242 | |
| Epoch[1] Batch [600] Speed: 1247.56 samples/sec accuracy=0.148594 top_k_accuracy_5=0.337930 | |
| Epoch[1] Batch [700] Speed: 1236.32 samples/sec accuracy=0.150430 top_k_accuracy_5=0.340625 | |
| Epoch[1] Batch [800] Speed: 1223.61 samples/sec accuracy=0.150938 top_k_accuracy_5=0.339687 | |
| Epoch[1] Batch [900] Speed: 1228.88 samples/sec accuracy=0.157227 top_k_accuracy_5=0.351094 | |
| Epoch[1] Batch [1000] Speed: 1228.72 samples/sec accuracy=0.155000 top_k_accuracy_5=0.350117 | |
| Epoch[1] Batch [1100] Speed: 1245.13 samples/sec accuracy=0.162109 top_k_accuracy_5=0.355977 | |
| Epoch[1] Batch [1200] Speed: 1228.53 samples/sec accuracy=0.162109 top_k_accuracy_5=0.361758 | |
| Epoch[1] Batch [1300] Speed: 1267.87 samples/sec accuracy=0.161992 top_k_accuracy_5=0.358398 | |
| Epoch[1] Batch [1400] Speed: 1242.93 samples/sec accuracy=0.168516 top_k_accuracy_5=0.371094 | |
| Epoch[1] Batch [1500] Speed: 1242.90 samples/sec accuracy=0.171367 top_k_accuracy_5=0.369688 | |
| Epoch[1] Batch [1600] Speed: 1227.99 samples/sec accuracy=0.166992 top_k_accuracy_5=0.364531 | |
| Epoch[1] Batch [1700] Speed: 1237.91 samples/sec accuracy=0.170664 top_k_accuracy_5=0.375937 | |
| Epoch[1] Batch [1800] Speed: 1239.44 samples/sec accuracy=0.174727 top_k_accuracy_5=0.378711 | |
| Epoch[1] Batch [1900] Speed: 1240.92 samples/sec accuracy=0.177383 top_k_accuracy_5=0.379844 | |
| Epoch[1] Batch [2000] Speed: 1240.07 samples/sec accuracy=0.180234 top_k_accuracy_5=0.390195 | |
| Epoch[1] Batch [2100] Speed: 1230.67 samples/sec accuracy=0.180625 top_k_accuracy_5=0.385508 | |
| Epoch[1] Batch [2200] Speed: 1229.71 samples/sec accuracy=0.178672 top_k_accuracy_5=0.389141 | |
| Epoch[1] Batch [2300] Speed: 1247.15 samples/sec accuracy=0.178906 top_k_accuracy_5=0.388203 | |
| Epoch[1] Batch [2400] Speed: 1246.47 samples/sec accuracy=0.185469 top_k_accuracy_5=0.398789 | |
| Epoch[1] Batch [2500] Speed: 1237.42 samples/sec accuracy=0.188672 top_k_accuracy_5=0.396680 | |
| Epoch[1] Batch [2600] Speed: 1246.29 samples/sec accuracy=0.190156 top_k_accuracy_5=0.401094 | |
| Epoch[1] Batch [2700] Speed: 1233.12 samples/sec accuracy=0.191172 top_k_accuracy_5=0.401602 | |
| Epoch[1] Batch [2800] Speed: 1236.93 samples/sec accuracy=0.194297 top_k_accuracy_5=0.403789 | |
| Epoch[1] Batch [2900] Speed: 1233.31 samples/sec accuracy=0.194844 top_k_accuracy_5=0.405469 | |
| Epoch[1] Batch [3000] Speed: 1232.96 samples/sec accuracy=0.191172 top_k_accuracy_5=0.404609 | |
| Epoch[1] Batch [3100] Speed: 1223.71 samples/sec accuracy=0.198828 top_k_accuracy_5=0.409648 | |
| Epoch[1] Batch [3200] Speed: 1221.07 samples/sec accuracy=0.203437 top_k_accuracy_5=0.418672 | |
| Epoch[1] Batch [3300] Speed: 1211.25 samples/sec accuracy=0.202266 top_k_accuracy_5=0.413320 | |
| Epoch[1] Batch [3400] Speed: 1228.28 samples/sec accuracy=0.202422 top_k_accuracy_5=0.417891 | |
| Epoch[1] Batch [3500] Speed: 1221.27 samples/sec accuracy=0.209531 top_k_accuracy_5=0.424570 | |
| Epoch[1] Batch [3600] Speed: 1216.10 samples/sec accuracy=0.203086 top_k_accuracy_5=0.417617 | |
| Epoch[1] Batch [3700] Speed: 1222.52 samples/sec accuracy=0.207891 top_k_accuracy_5=0.425938 | |
| Epoch[1] Batch [3800] Speed: 1231.30 samples/sec accuracy=0.210313 top_k_accuracy_5=0.427930 | |
| Epoch[1] Batch [3900] Speed: 1210.56 samples/sec accuracy=0.207266 top_k_accuracy_5=0.425039 | |
| Epoch[1] Batch [4000] Speed: 1212.88 samples/sec accuracy=0.211523 top_k_accuracy_5=0.431602 | |
| Epoch[1] Batch [4100] Speed: 1224.74 samples/sec accuracy=0.212773 top_k_accuracy_5=0.430117 | |
| Epoch[1] Batch [4200] Speed: 1221.92 samples/sec accuracy=0.213594 top_k_accuracy_5=0.433242 | |
| Epoch[1] Batch [4300] Speed: 1208.92 samples/sec accuracy=0.217695 top_k_accuracy_5=0.434102 | |
| Epoch[1] Batch [4400] Speed: 1217.68 samples/sec accuracy=0.218945 top_k_accuracy_5=0.434492 | |
| Epoch[1] Batch [4500] Speed: 1225.35 samples/sec accuracy=0.219531 top_k_accuracy_5=0.441641 | |
| Epoch[1] Batch [4600] Speed: 1224.70 samples/sec accuracy=0.219609 top_k_accuracy_5=0.441797 | |
| Epoch[1] Batch [4700] Speed: 1211.66 samples/sec accuracy=0.221289 top_k_accuracy_5=0.441406 | |
| Epoch[1] Batch [4800] Speed: 1210.93 samples/sec accuracy=0.223164 top_k_accuracy_5=0.441719 | |
| Epoch[1] Batch [4900] Speed: 1211.69 samples/sec accuracy=0.222734 top_k_accuracy_5=0.446758 | |
| Epoch[1] Batch [5000] Speed: 1217.69 samples/sec accuracy=0.223086 top_k_accuracy_5=0.446484 | |
| Epoch[1] Train-accuracy=0.193359 | |
| Epoch[1] Train-top_k_accuracy_5=0.434570 | |
| Epoch[1] Time cost=1040.819 | |
| Saved checkpoint to "model/resnet18-0002.params" | |
| Epoch[1] Validation-accuracy=0.230268 | |
| Epoch[1] Validation-top_k_accuracy_5=0.461959 | |
| Epoch[2] Batch [100] Speed: 1217.96 samples/sec accuracy=0.227259 top_k_accuracy_5=0.453241 | |
| Epoch[2] Batch [200] Speed: 1201.30 samples/sec accuracy=0.226016 top_k_accuracy_5=0.449023 | |
| Epoch[2] Batch [300] Speed: 1233.20 samples/sec accuracy=0.224531 top_k_accuracy_5=0.454492 | |
| Epoch[2] Batch [400] Speed: 1243.26 samples/sec accuracy=0.229180 top_k_accuracy_5=0.456406 | |
| Epoch[2] Batch [500] Speed: 1252.55 samples/sec accuracy=0.233789 top_k_accuracy_5=0.458203 | |
| Epoch[2] Batch [600] Speed: 1238.87 samples/sec accuracy=0.227734 top_k_accuracy_5=0.453633 | |
| Epoch[2] Batch [700] Speed: 1241.02 samples/sec accuracy=0.232500 top_k_accuracy_5=0.457891 | |
| Epoch[2] Batch [800] Speed: 1243.48 samples/sec accuracy=0.229219 top_k_accuracy_5=0.458164 | |
| Epoch[2] Batch [900] Speed: 1247.93 samples/sec accuracy=0.231875 top_k_accuracy_5=0.465977 | |
| Epoch[2] Batch [1000] Speed: 1223.38 samples/sec accuracy=0.236875 top_k_accuracy_5=0.463438 | |
| Epoch[2] Batch [1100] Speed: 1239.34 samples/sec accuracy=0.237930 top_k_accuracy_5=0.470313 | |
| Epoch[2] Batch [1200] Speed: 1231.48 samples/sec accuracy=0.235195 top_k_accuracy_5=0.467109 | |
| Epoch[2] Batch [1300] Speed: 1223.96 samples/sec accuracy=0.234258 top_k_accuracy_5=0.461133 | |
| Epoch[2] Batch [1400] Speed: 1228.66 samples/sec accuracy=0.240352 top_k_accuracy_5=0.469062 | |
| Epoch[2] Batch [1500] Speed: 1234.45 samples/sec accuracy=0.241250 top_k_accuracy_5=0.469570 | |
| Epoch[2] Batch [1600] Speed: 1234.73 samples/sec accuracy=0.237266 top_k_accuracy_5=0.467773 | |
| Epoch[2] Batch [1700] Speed: 1217.88 samples/sec accuracy=0.241719 top_k_accuracy_5=0.471094 | |
| Epoch[2] Batch [1800] Speed: 1228.03 samples/sec accuracy=0.241680 top_k_accuracy_5=0.473047 | |
| Epoch[2] Batch [1900] Speed: 1229.69 samples/sec accuracy=0.245469 top_k_accuracy_5=0.479063 | |
| Epoch[2] Batch [2000] Speed: 1237.56 samples/sec accuracy=0.246211 top_k_accuracy_5=0.475977 | |
| Epoch[2] Batch [2100] Speed: 1232.48 samples/sec accuracy=0.248125 top_k_accuracy_5=0.475586 | |
| Epoch[2] Batch [2200] Speed: 1227.32 samples/sec accuracy=0.247070 top_k_accuracy_5=0.475938 | |
| Epoch[2] Batch [2300] Speed: 1230.49 samples/sec accuracy=0.247188 top_k_accuracy_5=0.477148 | |
| Epoch[2] Batch [2400] Speed: 1245.36 samples/sec accuracy=0.249531 top_k_accuracy_5=0.480156 | |
| Epoch[2] Batch [2500] Speed: 1234.68 samples/sec accuracy=0.252695 top_k_accuracy_5=0.486406 | |
| Epoch[2] Batch [2600] Speed: 1234.05 samples/sec accuracy=0.248477 top_k_accuracy_5=0.483945 | |
| Epoch[2] Batch [2700] Speed: 1238.34 samples/sec accuracy=0.249180 top_k_accuracy_5=0.480391 | |
| Epoch[2] Batch [2800] Speed: 1235.95 samples/sec accuracy=0.254844 top_k_accuracy_5=0.484805 | |
| Epoch[2] Batch [2900] Speed: 1245.34 samples/sec accuracy=0.257773 top_k_accuracy_5=0.485508 | |
| Epoch[2] Batch [3000] Speed: 1236.37 samples/sec accuracy=0.250039 top_k_accuracy_5=0.482930 | |
| Epoch[2] Batch [3100] Speed: 1235.66 samples/sec accuracy=0.253203 top_k_accuracy_5=0.482852 | |
| Epoch[2] Batch [3200] Speed: 1240.71 samples/sec accuracy=0.259648 top_k_accuracy_5=0.493164 | |
| Epoch[2] Batch [3300] Speed: 1246.63 samples/sec accuracy=0.258242 top_k_accuracy_5=0.485938 | |
| Epoch[2] Batch [3400] Speed: 1237.52 samples/sec accuracy=0.259375 top_k_accuracy_5=0.493086 | |
| Epoch[2] Batch [3500] Speed: 1219.95 samples/sec accuracy=0.260664 top_k_accuracy_5=0.498086 | |
| Epoch[2] Batch [3600] Speed: 1237.97 samples/sec accuracy=0.257500 top_k_accuracy_5=0.490703 | |
| Epoch[2] Batch [3700] Speed: 1225.07 samples/sec accuracy=0.258750 top_k_accuracy_5=0.490391 | |
| Epoch[2] Batch [3800] Speed: 1227.97 samples/sec accuracy=0.263828 top_k_accuracy_5=0.496484 | |
| Epoch[2] Batch [3900] Speed: 1227.77 samples/sec accuracy=0.258828 top_k_accuracy_5=0.486797 | |
| Epoch[2] Batch [4000] Speed: 1245.29 samples/sec accuracy=0.266172 top_k_accuracy_5=0.501055 | |
| Epoch[2] Batch [4100] Speed: 1236.33 samples/sec accuracy=0.256602 top_k_accuracy_5=0.491055 | |
| Epoch[2] Batch [4200] Speed: 1234.17 samples/sec accuracy=0.265898 top_k_accuracy_5=0.497500 | |
| Epoch[2] Batch [4300] Speed: 1235.32 samples/sec accuracy=0.268086 top_k_accuracy_5=0.499414 | |
| Epoch[2] Batch [4400] Speed: 1249.10 samples/sec accuracy=0.264258 top_k_accuracy_5=0.501602 | |
| Epoch[2] Batch [4500] Speed: 1232.59 samples/sec accuracy=0.264922 top_k_accuracy_5=0.503477 | |
| Epoch[2] Batch [4600] Speed: 1245.63 samples/sec accuracy=0.263203 top_k_accuracy_5=0.498320 | |
| Epoch[2] Batch [4700] Speed: 1238.69 samples/sec accuracy=0.266758 top_k_accuracy_5=0.501133 | |
| Epoch[2] Batch [4800] Speed: 1239.92 samples/sec accuracy=0.270156 top_k_accuracy_5=0.502422 | |
| Epoch[2] Batch [4900] Speed: 1226.88 samples/sec accuracy=0.273516 top_k_accuracy_5=0.509766 | |
| Epoch[2] Batch [5000] Speed: 1223.71 samples/sec accuracy=0.269141 top_k_accuracy_5=0.503047 | |
| Epoch[2] Train-accuracy=0.274740 | |
| Epoch[2] Train-top_k_accuracy_5=0.490885 | |
| Epoch[2] Time cost=1038.296 | |
| Saved checkpoint to "model/resnet18-0003.params" | |
| Epoch[2] Validation-accuracy=0.280268 | |
| Epoch[2] Validation-top_k_accuracy_5=0.522135 | |
| Epoch[3] Batch [100] Speed: 1239.39 samples/sec accuracy=0.274134 top_k_accuracy_5=0.512686 | |
| Epoch[3] Batch [200] Speed: 1230.44 samples/sec accuracy=0.272344 top_k_accuracy_5=0.503945 | |
| Epoch[3] Batch [300] Speed: 1235.11 samples/sec accuracy=0.268789 top_k_accuracy_5=0.507344 | |
| Epoch[3] Batch [400] Speed: 1254.40 samples/sec accuracy=0.270273 top_k_accuracy_5=0.506836 | |
| Epoch[3] Batch [500] Speed: 1255.54 samples/sec accuracy=0.272344 top_k_accuracy_5=0.511133 | |
| Epoch[3] Batch [600] Speed: 1247.77 samples/sec accuracy=0.272656 top_k_accuracy_5=0.510273 | |
| Epoch[3] Batch [700] Speed: 1233.87 samples/sec accuracy=0.272070 top_k_accuracy_5=0.507539 | |
| Epoch[3] Batch [800] Speed: 1227.62 samples/sec accuracy=0.272344 top_k_accuracy_5=0.511016 | |
| Epoch[3] Batch [900] Speed: 1247.70 samples/sec accuracy=0.271797 top_k_accuracy_5=0.509180 | |
| Epoch[3] Batch [1000] Speed: 1249.63 samples/sec accuracy=0.274883 top_k_accuracy_5=0.510508 | |
| Epoch[3] Batch [1100] Speed: 1240.46 samples/sec accuracy=0.280156 top_k_accuracy_5=0.516211 | |
| Epoch[3] Batch [1200] Speed: 1209.14 samples/sec accuracy=0.278242 top_k_accuracy_5=0.518711 | |
| Epoch[3] Batch [1300] Speed: 1204.77 samples/sec accuracy=0.276875 top_k_accuracy_5=0.514180 | |
| Epoch[3] Batch [1400] Speed: 1213.16 samples/sec accuracy=0.278633 top_k_accuracy_5=0.517344 | |
| Epoch[3] Batch [1500] Speed: 1221.19 samples/sec accuracy=0.277109 top_k_accuracy_5=0.512148 | |
| Epoch[3] Batch [1600] Speed: 1235.94 samples/sec accuracy=0.278242 top_k_accuracy_5=0.517813 | |
| Epoch[3] Batch [1700] Speed: 1246.01 samples/sec accuracy=0.282656 top_k_accuracy_5=0.517578 | |
| Epoch[3] Batch [1800] Speed: 1240.66 samples/sec accuracy=0.275977 top_k_accuracy_5=0.517148 | |
| Epoch[3] Batch [1900] Speed: 1244.47 samples/sec accuracy=0.281523 top_k_accuracy_5=0.515391 | |
| Epoch[3] Batch [2000] Speed: 1254.53 samples/sec accuracy=0.278047 top_k_accuracy_5=0.515664 | |
| Epoch[3] Batch [2100] Speed: 1250.88 samples/sec accuracy=0.280352 top_k_accuracy_5=0.516836 | |
| Epoch[3] Batch [2200] Speed: 1240.25 samples/sec accuracy=0.279609 top_k_accuracy_5=0.517227 | |
| Epoch[3] Batch [2300] Speed: 1231.28 samples/sec accuracy=0.280234 top_k_accuracy_5=0.520625 | |
| Epoch[3] Batch [2400] Speed: 1248.96 samples/sec accuracy=0.284141 top_k_accuracy_5=0.521328 | |
| Epoch[3] Batch [2500] Speed: 1232.54 samples/sec accuracy=0.283477 top_k_accuracy_5=0.521367 | |
| Epoch[3] Batch [2600] Speed: 1240.70 samples/sec accuracy=0.284062 top_k_accuracy_5=0.523359 | |
| Epoch[3] Batch [2700] Speed: 1232.26 samples/sec accuracy=0.285781 top_k_accuracy_5=0.521367 | |
| Epoch[3] Batch [2800] Speed: 1219.20 samples/sec accuracy=0.285391 top_k_accuracy_5=0.524297 | |
| Epoch[3] Batch [2900] Speed: 1238.94 samples/sec accuracy=0.286602 top_k_accuracy_5=0.520547 | |
| Epoch[3] Batch [3000] Speed: 1241.86 samples/sec accuracy=0.280313 top_k_accuracy_5=0.521641 | |
| Epoch[3] Batch [3100] Speed: 1246.19 samples/sec accuracy=0.282969 top_k_accuracy_5=0.523750 | |
| Epoch[3] Batch [3200] Speed: 1230.04 samples/sec accuracy=0.291250 top_k_accuracy_5=0.527383 | |
| Epoch[3] Batch [3300] Speed: 1231.41 samples/sec accuracy=0.291523 top_k_accuracy_5=0.528398 | |
| Epoch[3] Batch [3400] Speed: 1232.20 samples/sec accuracy=0.291445 top_k_accuracy_5=0.530859 | |
| Epoch[3] Batch [3500] Speed: 1237.17 samples/sec accuracy=0.292969 top_k_accuracy_5=0.530273 | |
| Epoch[3] Batch [3600] Speed: 1238.91 samples/sec accuracy=0.285859 top_k_accuracy_5=0.527070 | |
| Epoch[3] Batch [3700] Speed: 1233.63 samples/sec accuracy=0.287148 top_k_accuracy_5=0.530781 | |
| Epoch[3] Batch [3800] Speed: 1216.61 samples/sec accuracy=0.290391 top_k_accuracy_5=0.527500 | |
| Epoch[3] Batch [3900] Speed: 1220.32 samples/sec accuracy=0.287852 top_k_accuracy_5=0.524766 | |
| Epoch[3] Batch [4000] Speed: 1238.86 samples/sec accuracy=0.291289 top_k_accuracy_5=0.536016 | |
| Epoch[3] Batch [4100] Speed: 1240.07 samples/sec accuracy=0.288633 top_k_accuracy_5=0.528359 | |
| Epoch[3] Batch [4200] Speed: 1224.11 samples/sec accuracy=0.291836 top_k_accuracy_5=0.534531 | |
| Epoch[3] Batch [4300] Speed: 1217.31 samples/sec accuracy=0.294648 top_k_accuracy_5=0.531875 | |
| Epoch[3] Batch [4400] Speed: 1237.11 samples/sec accuracy=0.291211 top_k_accuracy_5=0.533398 | |
| Epoch[3] Batch [4500] Speed: 1237.42 samples/sec accuracy=0.296953 top_k_accuracy_5=0.534727 | |
| Epoch[3] Batch [4600] Speed: 1231.22 samples/sec accuracy=0.295859 top_k_accuracy_5=0.532578 | |
| Epoch[3] Batch [4700] Speed: 1220.73 samples/sec accuracy=0.294453 top_k_accuracy_5=0.532930 | |
| Epoch[3] Batch [4800] Speed: 1221.03 samples/sec accuracy=0.290820 top_k_accuracy_5=0.529258 | |
| Epoch[3] Batch [4900] Speed: 1229.61 samples/sec accuracy=0.295156 top_k_accuracy_5=0.536367 | |
| Epoch[3] Batch [5000] Speed: 1231.35 samples/sec accuracy=0.295273 top_k_accuracy_5=0.534102 | |
| Epoch[3] Train-accuracy=0.279297 | |
| Epoch[3] Train-top_k_accuracy_5=0.527344 | |
| Epoch[3] Time cost=1038.466 | |
| Saved checkpoint to "model/resnet18-0004.params" | |
| Epoch[3] Validation-accuracy=0.305445 | |
| Epoch[3] Validation-top_k_accuracy_5=0.556401 | |
| Epoch[4] Batch [100] Speed: 1242.68 samples/sec accuracy=0.302096 top_k_accuracy_5=0.538405 | |
| Epoch[4] Batch [200] Speed: 1226.15 samples/sec accuracy=0.297031 top_k_accuracy_5=0.540000 | |
| Epoch[4] Batch [300] Speed: 1218.65 samples/sec accuracy=0.294297 top_k_accuracy_5=0.539883 | |
| Epoch[4] Batch [400] Speed: 1230.96 samples/sec accuracy=0.293984 top_k_accuracy_5=0.532109 | |
| Epoch[4] Batch [500] Speed: 1238.40 samples/sec accuracy=0.299336 top_k_accuracy_5=0.540273 | |
| Epoch[4] Batch [600] Speed: 1249.77 samples/sec accuracy=0.295586 top_k_accuracy_5=0.534609 | |
| Epoch[4] Batch [700] Speed: 1229.48 samples/sec accuracy=0.297187 top_k_accuracy_5=0.541172 | |
| Epoch[4] Batch [800] Speed: 1217.27 samples/sec accuracy=0.297812 top_k_accuracy_5=0.535234 | |
| Epoch[4] Batch [900] Speed: 1235.72 samples/sec accuracy=0.297422 top_k_accuracy_5=0.537188 | |
| Epoch[4] Batch [1000] Speed: 1258.71 samples/sec accuracy=0.299922 top_k_accuracy_5=0.537930 | |
| Epoch[4] Batch [1100] Speed: 1244.76 samples/sec accuracy=0.301992 top_k_accuracy_5=0.546055 | |
| Epoch[4] Batch [1200] Speed: 1235.43 samples/sec accuracy=0.297187 top_k_accuracy_5=0.537305 | |
| Epoch[4] Batch [1300] Speed: 1227.71 samples/sec accuracy=0.297812 top_k_accuracy_5=0.536250 | |
| Epoch[4] Batch [1400] Speed: 1237.67 samples/sec accuracy=0.299609 top_k_accuracy_5=0.542461 | |
| Epoch[4] Batch [1500] Speed: 1226.21 samples/sec accuracy=0.302656 top_k_accuracy_5=0.542266 | |
| Epoch[4] Batch [1600] Speed: 1253.06 samples/sec accuracy=0.297344 top_k_accuracy_5=0.538242 | |
| Epoch[4] Batch [1700] Speed: 1236.55 samples/sec accuracy=0.302656 top_k_accuracy_5=0.541953 | |
| Epoch[4] Batch [1800] Speed: 1211.20 samples/sec accuracy=0.297852 top_k_accuracy_5=0.541367 | |
| Epoch[4] Batch [1900] Speed: 1216.99 samples/sec accuracy=0.301680 top_k_accuracy_5=0.543477 | |
| Epoch[4] Batch [2000] Speed: 1236.80 samples/sec accuracy=0.303516 top_k_accuracy_5=0.542500 | |
| Epoch[4] Batch [2100] Speed: 1249.11 samples/sec accuracy=0.300117 top_k_accuracy_5=0.540664 | |
| Epoch[4] Batch [2200] Speed: 1237.91 samples/sec accuracy=0.299648 top_k_accuracy_5=0.540977 | |
| Epoch[4] Batch [2300] Speed: 1234.65 samples/sec accuracy=0.302187 top_k_accuracy_5=0.540859 | |
| Epoch[4] Batch [2400] Speed: 1229.62 samples/sec accuracy=0.304883 top_k_accuracy_5=0.549766 | |
| Epoch[4] Batch [2500] Speed: 1227.65 samples/sec accuracy=0.305430 top_k_accuracy_5=0.544180 | |
| Epoch[4] Batch [2600] Speed: 1236.59 samples/sec accuracy=0.303086 top_k_accuracy_5=0.544531 | |
| Epoch[4] Batch [2700] Speed: 1229.49 samples/sec accuracy=0.299805 top_k_accuracy_5=0.547734 | |
| Epoch[4] Batch [2800] Speed: 1225.50 samples/sec accuracy=0.309688 top_k_accuracy_5=0.548828 | |
| Epoch[4] Batch [2900] Speed: 1219.52 samples/sec accuracy=0.309375 top_k_accuracy_5=0.546172 | |
| Epoch[4] Batch [3000] Speed: 1240.34 samples/sec accuracy=0.300859 top_k_accuracy_5=0.542383 | |
| Epoch[4] Batch [3100] Speed: 1244.18 samples/sec accuracy=0.305195 top_k_accuracy_5=0.545234 | |
| Epoch[4] Batch [3200] Speed: 1255.85 samples/sec accuracy=0.308359 top_k_accuracy_5=0.555195 | |
| Epoch[4] Batch [3300] Speed: 1235.74 samples/sec accuracy=0.306289 top_k_accuracy_5=0.545898 | |
| Epoch[4] Batch [3400] Speed: 1232.81 samples/sec accuracy=0.305039 top_k_accuracy_5=0.548359 | |
| Epoch[4] Batch [3500] Speed: 1233.68 samples/sec accuracy=0.310273 top_k_accuracy_5=0.549414 | |
| Epoch[4] Batch [3600] Speed: 1242.26 samples/sec accuracy=0.304648 top_k_accuracy_5=0.549063 | |
| Epoch[4] Batch [3700] Speed: 1248.40 samples/sec accuracy=0.305977 top_k_accuracy_5=0.549023 | |
| Epoch[4] Batch [3800] Speed: 1243.68 samples/sec accuracy=0.306211 top_k_accuracy_5=0.550234 | |
| Epoch[4] Batch [3900] Speed: 1221.96 samples/sec accuracy=0.308672 top_k_accuracy_5=0.550547 | |
| Epoch[4] Batch [4000] Speed: 1223.76 samples/sec accuracy=0.308281 top_k_accuracy_5=0.548828 | |
| Epoch[4] Batch [4100] Speed: 1243.40 samples/sec accuracy=0.306445 top_k_accuracy_5=0.544336 | |
| Epoch[4] Batch [4200] Speed: 1240.75 samples/sec accuracy=0.308750 top_k_accuracy_5=0.546367 | |
| Epoch[4] Batch [4300] Speed: 1246.72 samples/sec accuracy=0.310508 top_k_accuracy_5=0.552734 | |
| Epoch[4] Batch [4400] Speed: 1229.39 samples/sec accuracy=0.306758 top_k_accuracy_5=0.550898 | |
| Epoch[4] Batch [4500] Speed: 1225.03 samples/sec accuracy=0.311797 top_k_accuracy_5=0.554922 | |
| Epoch[4] Batch [4600] Speed: 1244.96 samples/sec accuracy=0.313086 top_k_accuracy_5=0.554922 | |
| Epoch[4] Batch [4700] Speed: 1242.82 samples/sec accuracy=0.307969 top_k_accuracy_5=0.551250 | |
| Epoch[4] Batch [4800] Speed: 1227.02 samples/sec accuracy=0.310703 top_k_accuracy_5=0.548867 | |
| Epoch[4] Batch [4900] Speed: 1226.55 samples/sec accuracy=0.314844 top_k_accuracy_5=0.558477 | |
| Epoch[4] Batch [5000] Speed: 1224.24 samples/sec accuracy=0.309297 top_k_accuracy_5=0.551289 | |
| Epoch[4] Train-accuracy=0.312500 | |
| Epoch[4] Train-top_k_accuracy_5=0.540365 | |
| Epoch[4] Time cost=1037.882 | |
| Saved checkpoint to "model/resnet18-0005.params" | |
| Epoch[4] Validation-accuracy=0.321274 | |
| Epoch[4] Validation-top_k_accuracy_5=0.574920 | |
| Epoch[5] Batch [100] Speed: 1246.19 samples/sec accuracy=0.316290 top_k_accuracy_5=0.558981 | |
| Epoch[5] Batch [200] Speed: 1235.05 samples/sec accuracy=0.309023 top_k_accuracy_5=0.552969 | |
| Epoch[5] Batch [300] Speed: 1223.77 samples/sec accuracy=0.309727 top_k_accuracy_5=0.555508 | |
| Epoch[5] Batch [400] Speed: 1230.66 samples/sec accuracy=0.312773 top_k_accuracy_5=0.554766 | |
| Epoch[5] Batch [500] Speed: 1235.16 samples/sec accuracy=0.313477 top_k_accuracy_5=0.554805 | |
| Epoch[5] Batch [600] Speed: 1241.77 samples/sec accuracy=0.316758 top_k_accuracy_5=0.559883 | |
| Epoch[5] Batch [700] Speed: 1227.15 samples/sec accuracy=0.317109 top_k_accuracy_5=0.556523 | |
| Epoch[5] Batch [800] Speed: 1223.28 samples/sec accuracy=0.311836 top_k_accuracy_5=0.553438 | |
| Epoch[5] Batch [900] Speed: 1229.64 samples/sec accuracy=0.312891 top_k_accuracy_5=0.556133 | |
| Epoch[5] Batch [1000] Speed: 1227.74 samples/sec accuracy=0.311602 top_k_accuracy_5=0.556602 | |
| Epoch[5] Batch [1100] Speed: 1246.97 samples/sec accuracy=0.315586 top_k_accuracy_5=0.554453 | |
| Epoch[5] Batch [1200] Speed: 1245.44 samples/sec accuracy=0.314688 top_k_accuracy_5=0.556055 | |
| Epoch[5] Batch [1300] Speed: 1231.01 samples/sec accuracy=0.314297 top_k_accuracy_5=0.554883 | |
| Epoch[5] Batch [1400] Speed: 1232.20 samples/sec accuracy=0.318633 top_k_accuracy_5=0.560117 | |
| Epoch[5] Batch [1500] Speed: 1240.00 samples/sec accuracy=0.315625 top_k_accuracy_5=0.555820 | |
| Epoch[5] Batch [1600] Speed: 1252.40 samples/sec accuracy=0.313398 top_k_accuracy_5=0.556445 | |
| Epoch[5] Batch [1700] Speed: 1251.07 samples/sec accuracy=0.312305 top_k_accuracy_5=0.552578 | |
| Epoch[5] Batch [1800] Speed: 1246.32 samples/sec accuracy=0.313984 top_k_accuracy_5=0.555391 | |
| Epoch[5] Batch [1900] Speed: 1233.98 samples/sec accuracy=0.315117 top_k_accuracy_5=0.556484 | |
| Epoch[5] Batch [2000] Speed: 1235.67 samples/sec accuracy=0.314531 top_k_accuracy_5=0.557305 | |
| Epoch[5] Batch [2100] Speed: 1245.86 samples/sec accuracy=0.315391 top_k_accuracy_5=0.556875 | |
| Epoch[5] Batch [2200] Speed: 1261.06 samples/sec accuracy=0.311758 top_k_accuracy_5=0.555547 | |
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| Epoch[5] Batch [2400] Speed: 1220.33 samples/sec accuracy=0.318555 top_k_accuracy_5=0.560469 | |
| Epoch[5] Batch [2500] Speed: 1238.19 samples/sec accuracy=0.318984 top_k_accuracy_5=0.562305 | |
| Epoch[5] Batch [2600] Speed: 1242.55 samples/sec accuracy=0.314609 top_k_accuracy_5=0.561406 | |
| Epoch[5] Batch [2700] Speed: 1243.64 samples/sec accuracy=0.312578 top_k_accuracy_5=0.552500 | |
| Epoch[5] Batch [2800] Speed: 1247.75 samples/sec accuracy=0.321016 top_k_accuracy_5=0.566523 | |
| Epoch[5] Batch [2900] Speed: 1227.63 samples/sec accuracy=0.320312 top_k_accuracy_5=0.564297 | |
| Epoch[5] Batch [3000] Speed: 1230.66 samples/sec accuracy=0.316797 top_k_accuracy_5=0.556836 | |
| Epoch[5] Batch [3100] Speed: 1236.23 samples/sec accuracy=0.316758 top_k_accuracy_5=0.556367 | |
| Epoch[5] Batch [3200] Speed: 1236.07 samples/sec accuracy=0.321875 top_k_accuracy_5=0.566562 | |
| Epoch[5] Batch [3300] Speed: 1237.50 samples/sec accuracy=0.322383 top_k_accuracy_5=0.560586 | |
| Epoch[5] Batch [3400] Speed: 1238.28 samples/sec accuracy=0.324648 top_k_accuracy_5=0.564922 | |
| Epoch[5] Batch [3500] Speed: 1223.73 samples/sec accuracy=0.320312 top_k_accuracy_5=0.560547 | |
| Epoch[5] Batch [3600] Speed: 1244.82 samples/sec accuracy=0.316328 top_k_accuracy_5=0.560898 | |
| Epoch[5] Batch [3700] Speed: 1241.15 samples/sec accuracy=0.314805 top_k_accuracy_5=0.558867 | |
| Epoch[5] Batch [3800] Speed: 1236.46 samples/sec accuracy=0.325430 top_k_accuracy_5=0.566445 | |
| Epoch[5] Batch [3900] Speed: 1240.37 samples/sec accuracy=0.316484 top_k_accuracy_5=0.561602 | |
| Epoch[5] Batch [4000] Speed: 1210.88 samples/sec accuracy=0.320352 top_k_accuracy_5=0.563906 | |
| Epoch[5] Batch [4100] Speed: 1235.75 samples/sec accuracy=0.314648 top_k_accuracy_5=0.560273 | |
| Epoch[5] Batch [4200] Speed: 1244.59 samples/sec accuracy=0.323164 top_k_accuracy_5=0.563945 | |
| Epoch[5] Batch [4300] Speed: 1250.18 samples/sec accuracy=0.321289 top_k_accuracy_5=0.560937 | |
| Epoch[5] Batch [4400] Speed: 1232.13 samples/sec accuracy=0.321797 top_k_accuracy_5=0.563203 | |
| Epoch[5] Batch [4500] Speed: 1233.95 samples/sec accuracy=0.325039 top_k_accuracy_5=0.569063 | |
| Epoch[5] Batch [4600] Speed: 1236.77 samples/sec accuracy=0.318984 top_k_accuracy_5=0.562344 | |
| Epoch[5] Batch [4700] Speed: 1239.26 samples/sec accuracy=0.322266 top_k_accuracy_5=0.565820 | |
| Epoch[5] Batch [4800] Speed: 1243.34 samples/sec accuracy=0.321914 top_k_accuracy_5=0.560391 | |
| Epoch[5] Batch [4900] Speed: 1237.85 samples/sec accuracy=0.326758 top_k_accuracy_5=0.572930 | |
| Epoch[5] Batch [5000] Speed: 1215.50 samples/sec accuracy=0.322227 top_k_accuracy_5=0.566562 | |
| Epoch[5] Train-accuracy=0.319336 | |
| Epoch[5] Train-top_k_accuracy_5=0.564453 | |
| Epoch[5] Time cost=1036.376 | |
| Saved checkpoint to "model/resnet18-0006.params" | |
| Epoch[5] Validation-accuracy=0.332412 | |
| Epoch[5] Validation-top_k_accuracy_5=0.583574 | |
| Epoch[6] Batch [100] Speed: 1233.16 samples/sec accuracy=0.322130 top_k_accuracy_5=0.566368 | |
| Epoch[6] Batch [200] Speed: 1243.13 samples/sec accuracy=0.319531 top_k_accuracy_5=0.566172 | |
| Epoch[6] Batch [300] Speed: 1241.00 samples/sec accuracy=0.320234 top_k_accuracy_5=0.560234 | |
| Epoch[6] Batch [400] Speed: 1228.74 samples/sec accuracy=0.323398 top_k_accuracy_5=0.560430 | |
| Epoch[6] Batch [500] Speed: 1238.80 samples/sec accuracy=0.324062 top_k_accuracy_5=0.568750 | |
| Epoch[6] Batch [600] Speed: 1248.80 samples/sec accuracy=0.324570 top_k_accuracy_5=0.562578 | |
| Epoch[6] Batch [700] Speed: 1258.04 samples/sec accuracy=0.322891 top_k_accuracy_5=0.564414 | |
| Epoch[6] Batch [800] Speed: 1251.38 samples/sec accuracy=0.321719 top_k_accuracy_5=0.561562 | |
| Epoch[6] Batch [900] Speed: 1240.81 samples/sec accuracy=0.322305 top_k_accuracy_5=0.566016 | |
| Epoch[6] Batch [1000] Speed: 1224.75 samples/sec accuracy=0.322891 top_k_accuracy_5=0.570430 | |
| Epoch[6] Batch [1100] Speed: 1241.06 samples/sec accuracy=0.326328 top_k_accuracy_5=0.569492 | |
| Epoch[6] Batch [1200] Speed: 1250.98 samples/sec accuracy=0.327891 top_k_accuracy_5=0.569375 | |
| Epoch[6] Batch [1300] Speed: 1243.76 samples/sec accuracy=0.322773 top_k_accuracy_5=0.567422 | |
| Epoch[6] Batch [1400] Speed: 1228.30 samples/sec accuracy=0.325508 top_k_accuracy_5=0.568242 | |
| Epoch[6] Batch [1500] Speed: 1217.60 samples/sec accuracy=0.327070 top_k_accuracy_5=0.568516 | |
| Epoch[6] Batch [1600] Speed: 1229.79 samples/sec accuracy=0.319336 top_k_accuracy_5=0.565039 | |
| Epoch[6] Batch [1700] Speed: 1252.58 samples/sec accuracy=0.325820 top_k_accuracy_5=0.570352 | |
| Epoch[6] Batch [1800] Speed: 1243.21 samples/sec accuracy=0.318164 top_k_accuracy_5=0.566680 | |
| Epoch[6] Batch [1900] Speed: 1234.64 samples/sec accuracy=0.326914 top_k_accuracy_5=0.571992 | |
| Epoch[6] Batch [2000] Speed: 1220.48 samples/sec accuracy=0.325586 top_k_accuracy_5=0.567695 | |
| Epoch[6] Batch [2100] Speed: 1239.17 samples/sec accuracy=0.325664 top_k_accuracy_5=0.571133 | |
| Epoch[6] Batch [2200] Speed: 1250.32 samples/sec accuracy=0.330078 top_k_accuracy_5=0.570820 | |
| Epoch[6] Batch [2300] Speed: 1235.59 samples/sec accuracy=0.322500 top_k_accuracy_5=0.565508 | |
| Epoch[6] Batch [2400] Speed: 1249.93 samples/sec accuracy=0.329531 top_k_accuracy_5=0.571328 | |
| Epoch[6] Batch [2500] Speed: 1216.40 samples/sec accuracy=0.327148 top_k_accuracy_5=0.567227 | |
| Epoch[6] Batch [2600] Speed: 1238.64 samples/sec accuracy=0.326641 top_k_accuracy_5=0.569961 | |
| Epoch[6] Batch [2700] Speed: 1246.55 samples/sec accuracy=0.327266 top_k_accuracy_5=0.572461 | |
| Epoch[6] Batch [2800] Speed: 1250.82 samples/sec accuracy=0.329297 top_k_accuracy_5=0.572070 | |
| Epoch[6] Batch [2900] Speed: 1241.04 samples/sec accuracy=0.327422 top_k_accuracy_5=0.575234 | |
| Epoch[6] Batch [3000] Speed: 1235.68 samples/sec accuracy=0.322461 top_k_accuracy_5=0.570937 | |
| Epoch[6] Batch [3100] Speed: 1233.14 samples/sec accuracy=0.329453 top_k_accuracy_5=0.573359 | |
| Epoch[6] Batch [3200] Speed: 1239.33 samples/sec accuracy=0.328125 top_k_accuracy_5=0.572461 | |
| Epoch[6] Batch [3300] Speed: 1245.78 samples/sec accuracy=0.327852 top_k_accuracy_5=0.569609 | |
| Epoch[6] Batch [3400] Speed: 1243.58 samples/sec accuracy=0.329766 top_k_accuracy_5=0.570742 | |
| Epoch[6] Batch [3500] Speed: 1232.02 samples/sec accuracy=0.336523 top_k_accuracy_5=0.578281 | |
| Epoch[6] Batch [3600] Speed: 1231.14 samples/sec accuracy=0.322344 top_k_accuracy_5=0.570078 | |
| Epoch[6] Batch [3700] Speed: 1236.58 samples/sec accuracy=0.325352 top_k_accuracy_5=0.575742 | |
| Epoch[6] Batch [3800] Speed: 1250.57 samples/sec accuracy=0.328828 top_k_accuracy_5=0.572930 | |
| Epoch[6] Batch [3900] Speed: 1246.71 samples/sec accuracy=0.329961 top_k_accuracy_5=0.570195 | |
| Epoch[6] Batch [4000] Speed: 1227.33 samples/sec accuracy=0.335430 top_k_accuracy_5=0.575195 | |
| Epoch[6] Batch [4100] Speed: 1228.11 samples/sec accuracy=0.325234 top_k_accuracy_5=0.570820 | |
| Epoch[6] Batch [4200] Speed: 1250.96 samples/sec accuracy=0.327891 top_k_accuracy_5=0.573828 | |
| Epoch[6] Batch [4300] Speed: 1247.53 samples/sec accuracy=0.329922 top_k_accuracy_5=0.576992 | |
| Epoch[6] Batch [4400] Speed: 1244.94 samples/sec accuracy=0.326914 top_k_accuracy_5=0.575117 | |
| Epoch[6] Batch [4500] Speed: 1226.90 samples/sec accuracy=0.331289 top_k_accuracy_5=0.572070 | |
| Epoch[6] Batch [4600] Speed: 1232.77 samples/sec accuracy=0.331172 top_k_accuracy_5=0.574453 | |
| Epoch[6] Batch [4700] Speed: 1233.29 samples/sec accuracy=0.325195 top_k_accuracy_5=0.572695 | |
| Epoch[6] Batch [4800] Speed: 1256.89 samples/sec accuracy=0.330195 top_k_accuracy_5=0.571484 | |
| Epoch[6] Batch [4900] Speed: 1255.00 samples/sec accuracy=0.332188 top_k_accuracy_5=0.579023 | |
| Epoch[6] Batch [5000] Speed: 1245.28 samples/sec accuracy=0.324922 top_k_accuracy_5=0.570391 | |
| Epoch[6] Train-accuracy=0.333333 | |
| Epoch[6] Train-top_k_accuracy_5=0.561198 | |
| Epoch[6] Time cost=1033.766 | |
| Saved checkpoint to "model/resnet18-0007.params" | |
| Epoch[6] Validation-accuracy=0.333247 | |
| Epoch[6] Validation-top_k_accuracy_5=0.583386 | |
| Epoch[7] Batch [100] Speed: 1223.82 samples/sec accuracy=0.331412 top_k_accuracy_5=0.579363 | |
| Epoch[7] Batch [200] Speed: 1219.44 samples/sec accuracy=0.327383 top_k_accuracy_5=0.571875 | |
| Epoch[7] Batch [300] Speed: 1237.50 samples/sec accuracy=0.331914 top_k_accuracy_5=0.576758 | |
| Epoch[7] Batch [400] Speed: 1238.61 samples/sec accuracy=0.326250 top_k_accuracy_5=0.567070 | |
| Epoch[7] Batch [500] Speed: 1253.77 samples/sec accuracy=0.334453 top_k_accuracy_5=0.575703 | |
| Epoch[7] Batch [600] Speed: 1245.95 samples/sec accuracy=0.329453 top_k_accuracy_5=0.577305 | |
| Epoch[7] Batch [700] Speed: 1216.07 samples/sec accuracy=0.329883 top_k_accuracy_5=0.571836 | |
| Epoch[7] Batch [800] Speed: 1253.19 samples/sec accuracy=0.327695 top_k_accuracy_5=0.574063 | |
| Epoch[7] Batch [900] Speed: 1260.65 samples/sec accuracy=0.334648 top_k_accuracy_5=0.575742 | |
| Epoch[7] Batch [1000] Speed: 1254.45 samples/sec accuracy=0.335508 top_k_accuracy_5=0.577500 | |
| Epoch[7] Batch [1100] Speed: 1244.88 samples/sec accuracy=0.336641 top_k_accuracy_5=0.576250 | |
| Epoch[7] Batch [1200] Speed: 1225.15 samples/sec accuracy=0.333008 top_k_accuracy_5=0.574258 | |
| Epoch[7] Batch [1300] Speed: 1227.36 samples/sec accuracy=0.329766 top_k_accuracy_5=0.575430 | |
| Epoch[7] Batch [1400] Speed: 1244.60 samples/sec accuracy=0.331641 top_k_accuracy_5=0.576289 | |
| Epoch[7] Batch [1500] Speed: 1250.75 samples/sec accuracy=0.336133 top_k_accuracy_5=0.575859 | |
| Epoch[7] Batch [1600] Speed: 1231.77 samples/sec accuracy=0.327461 top_k_accuracy_5=0.571055 | |
| Epoch[7] Batch [1700] Speed: 1222.07 samples/sec accuracy=0.327852 top_k_accuracy_5=0.573672 | |
| Epoch[7] Batch [1800] Speed: 1233.24 samples/sec accuracy=0.329492 top_k_accuracy_5=0.576250 | |
| Epoch[7] Batch [1900] Speed: 1234.71 samples/sec accuracy=0.331953 top_k_accuracy_5=0.580156 | |
| Epoch[7] Batch [2000] Speed: 1247.87 samples/sec accuracy=0.329922 top_k_accuracy_5=0.577227 | |
| Epoch[7] Batch [2100] Speed: 1249.42 samples/sec accuracy=0.330977 top_k_accuracy_5=0.571641 | |
| Epoch[7] Batch [2200] Speed: 1228.18 samples/sec accuracy=0.333398 top_k_accuracy_5=0.575977 | |
| Epoch[7] Batch [2300] Speed: 1239.65 samples/sec accuracy=0.326719 top_k_accuracy_5=0.569570 | |
| Epoch[7] Batch [2400] Speed: 1248.68 samples/sec accuracy=0.328789 top_k_accuracy_5=0.574609 | |
| Epoch[7] Batch [2500] Speed: 1242.72 samples/sec accuracy=0.330781 top_k_accuracy_5=0.575781 | |
| Epoch[7] Batch [2600] Speed: 1247.01 samples/sec accuracy=0.332109 top_k_accuracy_5=0.578164 | |
| Epoch[7] Batch [2700] Speed: 1234.33 samples/sec accuracy=0.333281 top_k_accuracy_5=0.576680 | |
| Epoch[7] Batch [2800] Speed: 1226.28 samples/sec accuracy=0.342305 top_k_accuracy_5=0.580664 | |
| Epoch[7] Batch [2900] Speed: 1243.84 samples/sec accuracy=0.332930 top_k_accuracy_5=0.579805 | |
| Epoch[7] Batch [3000] Speed: 1250.20 samples/sec accuracy=0.328164 top_k_accuracy_5=0.577422 | |
| Epoch[7] Batch [3100] Speed: 1247.22 samples/sec accuracy=0.331016 top_k_accuracy_5=0.576797 | |
| Epoch[7] Batch [3200] Speed: 1233.05 samples/sec accuracy=0.334023 top_k_accuracy_5=0.580898 | |
| Epoch[7] Batch [3300] Speed: 1238.41 samples/sec accuracy=0.331406 top_k_accuracy_5=0.574258 | |
| Epoch[7] Batch [3400] Speed: 1246.68 samples/sec accuracy=0.336406 top_k_accuracy_5=0.580391 | |
| Epoch[7] Batch [3500] Speed: 1267.82 samples/sec accuracy=0.338359 top_k_accuracy_5=0.579922 | |
| Epoch[7] Batch [3600] Speed: 1251.28 samples/sec accuracy=0.329258 top_k_accuracy_5=0.574453 | |
| Epoch[7] Batch [3700] Speed: 1226.94 samples/sec accuracy=0.334219 top_k_accuracy_5=0.580391 | |
| Epoch[7] Batch [3800] Speed: 1232.57 samples/sec accuracy=0.340938 top_k_accuracy_5=0.580820 | |
| Epoch[7] Batch [3900] Speed: 1231.04 samples/sec accuracy=0.331250 top_k_accuracy_5=0.573281 | |
| Epoch[7] Batch [4000] Speed: 1233.58 samples/sec accuracy=0.337617 top_k_accuracy_5=0.582852 | |
| Epoch[7] Batch [4100] Speed: 1233.26 samples/sec accuracy=0.331797 top_k_accuracy_5=0.574766 | |
| Epoch[7] Batch [4200] Speed: 1215.83 samples/sec accuracy=0.337891 top_k_accuracy_5=0.580078 | |
| Epoch[7] Batch [4300] Speed: 1216.24 samples/sec accuracy=0.333477 top_k_accuracy_5=0.580977 | |
| Epoch[7] Batch [4400] Speed: 1246.26 samples/sec accuracy=0.331211 top_k_accuracy_5=0.579648 | |
| Epoch[7] Batch [4500] Speed: 1253.93 samples/sec accuracy=0.333086 top_k_accuracy_5=0.578672 | |
| Epoch[7] Batch [4600] Speed: 1246.06 samples/sec accuracy=0.335156 top_k_accuracy_5=0.576914 | |
| Epoch[7] Batch [4700] Speed: 1235.38 samples/sec accuracy=0.336289 top_k_accuracy_5=0.578945 | |
| Epoch[7] Batch [4800] Speed: 1236.11 samples/sec accuracy=0.331172 top_k_accuracy_5=0.576953 | |
| Epoch[7] Batch [4900] Speed: 1258.11 samples/sec accuracy=0.338555 top_k_accuracy_5=0.585039 | |
| Epoch[7] Batch [5000] Speed: 1258.77 samples/sec accuracy=0.339102 top_k_accuracy_5=0.582812 | |
| Epoch[7] Train-accuracy=0.329102 | |
| Epoch[7] Train-top_k_accuracy_5=0.558594 | |
| Epoch[7] Time cost=1033.932 | |
| Saved checkpoint to "model/resnet18-0008.params" | |
| Epoch[7] Validation-accuracy=0.342047 | |
| Epoch[7] Validation-top_k_accuracy_5=0.596434 | |
| Epoch[8] Batch [100] Speed: 1241.23 samples/sec accuracy=0.344485 top_k_accuracy_5=0.585473 | |
| Epoch[8] Batch [200] Speed: 1235.12 samples/sec accuracy=0.335977 top_k_accuracy_5=0.581016 | |
| Epoch[8] Batch [300] Speed: 1239.92 samples/sec accuracy=0.331797 top_k_accuracy_5=0.584258 | |
| Epoch[8] Batch [400] Speed: 1247.39 samples/sec accuracy=0.333125 top_k_accuracy_5=0.577578 | |
| Epoch[8] Batch [500] Speed: 1258.97 samples/sec accuracy=0.341562 top_k_accuracy_5=0.584727 | |
| Epoch[8] Batch [600] Speed: 1250.31 samples/sec accuracy=0.341172 top_k_accuracy_5=0.581641 | |
| Epoch[8] Batch [700] Speed: 1229.51 samples/sec accuracy=0.336914 top_k_accuracy_5=0.579531 | |
| Epoch[8] Batch [800] Speed: 1244.54 samples/sec accuracy=0.334609 top_k_accuracy_5=0.579180 | |
| Epoch[8] Batch [900] Speed: 1255.38 samples/sec accuracy=0.338242 top_k_accuracy_5=0.586016 | |
| Epoch[8] Batch [1000] Speed: 1258.00 samples/sec accuracy=0.334375 top_k_accuracy_5=0.579961 | |
| Epoch[8] Batch [1100] Speed: 1248.66 samples/sec accuracy=0.342031 top_k_accuracy_5=0.584375 | |
| Epoch[8] Batch [1200] Speed: 1241.00 samples/sec accuracy=0.340078 top_k_accuracy_5=0.584180 | |
| Epoch[8] Batch [1300] Speed: 1235.44 samples/sec accuracy=0.336719 top_k_accuracy_5=0.581367 | |
| Epoch[8] Batch [1400] Speed: 1265.62 samples/sec accuracy=0.335703 top_k_accuracy_5=0.582344 | |
| Epoch[8] Batch [1500] Speed: 1252.88 samples/sec accuracy=0.336602 top_k_accuracy_5=0.579727 | |
| Epoch[8] Batch [1600] Speed: 1262.27 samples/sec accuracy=0.338047 top_k_accuracy_5=0.579570 | |
| Epoch[8] Batch [1700] Speed: 1230.44 samples/sec accuracy=0.339297 top_k_accuracy_5=0.584492 | |
| Epoch[8] Batch [1800] Speed: 1235.42 samples/sec accuracy=0.336406 top_k_accuracy_5=0.583125 | |
| Epoch[8] Batch [1900] Speed: 1247.17 samples/sec accuracy=0.334883 top_k_accuracy_5=0.580859 | |
| Epoch[8] Batch [2000] Speed: 1250.76 samples/sec accuracy=0.336484 top_k_accuracy_5=0.585625 | |
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| Epoch[8] Batch [2200] Speed: 1239.83 samples/sec accuracy=0.335352 top_k_accuracy_5=0.580781 | |
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| Epoch[8] Batch [3000] Speed: 1253.45 samples/sec accuracy=0.335625 top_k_accuracy_5=0.580977 | |
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| Epoch[8] Batch [3700] Speed: 1248.31 samples/sec accuracy=0.338867 top_k_accuracy_5=0.583633 | |
| Epoch[8] Batch [3800] Speed: 1241.43 samples/sec accuracy=0.340234 top_k_accuracy_5=0.585820 | |
| Epoch[8] Batch [3900] Speed: 1232.77 samples/sec accuracy=0.334453 top_k_accuracy_5=0.580742 | |
| Epoch[8] Batch [4000] Speed: 1254.84 samples/sec accuracy=0.342227 top_k_accuracy_5=0.585938 | |
| Epoch[8] Batch [4100] Speed: 1260.04 samples/sec accuracy=0.342344 top_k_accuracy_5=0.582148 | |
| Epoch[8] Batch [4200] Speed: 1255.87 samples/sec accuracy=0.337344 top_k_accuracy_5=0.584063 | |
| Epoch[8] Batch [4300] Speed: 1237.93 samples/sec accuracy=0.345039 top_k_accuracy_5=0.582461 | |
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| Epoch[8] Batch [4700] Speed: 1255.65 samples/sec accuracy=0.342500 top_k_accuracy_5=0.584883 | |
| Epoch[8] Batch [4800] Speed: 1253.41 samples/sec accuracy=0.343125 top_k_accuracy_5=0.583516 | |
| Epoch[8] Batch [4900] Speed: 1232.29 samples/sec accuracy=0.341758 top_k_accuracy_5=0.592656 | |
| Epoch[8] Batch [5000] Speed: 1252.34 samples/sec accuracy=0.342695 top_k_accuracy_5=0.587070 | |
| Epoch[8] Train-accuracy=0.339844 | |
| Epoch[8] Train-top_k_accuracy_5=0.557617 | |
| Epoch[8] Time cost=1027.732 | |
| Saved checkpoint to "model/resnet18-0009.params" | |
| Epoch[8] Validation-accuracy=0.354387 | |
| Epoch[8] Validation-top_k_accuracy_5=0.610877 | |
| Epoch[9] Batch [100] Speed: 1242.97 samples/sec accuracy=0.344369 top_k_accuracy_5=0.591391 | |
| Epoch[9] Batch [200] Speed: 1262.27 samples/sec accuracy=0.339375 top_k_accuracy_5=0.585117 | |
| Epoch[9] Batch [300] Speed: 1240.34 samples/sec accuracy=0.341133 top_k_accuracy_5=0.586719 | |
| Epoch[9] Batch [400] Speed: 1247.41 samples/sec accuracy=0.342891 top_k_accuracy_5=0.584258 | |
| Epoch[9] Batch [500] Speed: 1245.80 samples/sec accuracy=0.344766 top_k_accuracy_5=0.587773 | |
| Epoch[9] Batch [600] Speed: 1251.28 samples/sec accuracy=0.338672 top_k_accuracy_5=0.581953 | |
| Epoch[9] Batch [700] Speed: 1247.42 samples/sec accuracy=0.343867 top_k_accuracy_5=0.584023 | |
| Epoch[9] Batch [800] Speed: 1237.45 samples/sec accuracy=0.335742 top_k_accuracy_5=0.584531 | |
| Epoch[9] Batch [900] Speed: 1249.57 samples/sec accuracy=0.343008 top_k_accuracy_5=0.582852 | |
| Epoch[9] Batch [1000] Speed: 1246.51 samples/sec accuracy=0.340234 top_k_accuracy_5=0.581602 | |
| Epoch[9] Batch [1100] Speed: 1254.69 samples/sec accuracy=0.348438 top_k_accuracy_5=0.590430 | |
| Epoch[9] Batch [1200] Speed: 1243.97 samples/sec accuracy=0.342773 top_k_accuracy_5=0.586797 | |
| Epoch[9] Batch [1300] Speed: 1227.34 samples/sec accuracy=0.342383 top_k_accuracy_5=0.586367 | |
| Epoch[9] Batch [1400] Speed: 1240.29 samples/sec accuracy=0.340469 top_k_accuracy_5=0.588555 | |
| Epoch[9] Batch [1500] Speed: 1240.80 samples/sec accuracy=0.341250 top_k_accuracy_5=0.586719 | |
| Epoch[9] Batch [1600] Speed: 1251.39 samples/sec accuracy=0.339453 top_k_accuracy_5=0.584766 | |
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| Epoch[9] Batch [2000] Speed: 1252.18 samples/sec accuracy=0.342500 top_k_accuracy_5=0.586055 | |
| Epoch[9] Batch [2100] Speed: 1251.84 samples/sec accuracy=0.342305 top_k_accuracy_5=0.585820 | |
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| Epoch[9] Batch [2500] Speed: 1241.91 samples/sec accuracy=0.343906 top_k_accuracy_5=0.587969 | |
| Epoch[9] Batch [2600] Speed: 1235.76 samples/sec accuracy=0.342656 top_k_accuracy_5=0.589492 | |
| Epoch[9] Batch [2700] Speed: 1250.41 samples/sec accuracy=0.336758 top_k_accuracy_5=0.586172 | |
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| Epoch[9] Batch [2900] Speed: 1217.30 samples/sec accuracy=0.345391 top_k_accuracy_5=0.589375 | |
| Epoch[9] Batch [3000] Speed: 1248.47 samples/sec accuracy=0.336914 top_k_accuracy_5=0.585625 | |
| Epoch[9] Batch [3100] Speed: 1253.24 samples/sec accuracy=0.340781 top_k_accuracy_5=0.585664 | |
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| Epoch[9] Batch [3700] Speed: 1247.60 samples/sec accuracy=0.343711 top_k_accuracy_5=0.586328 | |
| Epoch[9] Batch [3800] Speed: 1260.85 samples/sec accuracy=0.348398 top_k_accuracy_5=0.588594 | |
| Epoch[9] Batch [3900] Speed: 1232.84 samples/sec accuracy=0.340938 top_k_accuracy_5=0.586875 | |
| Epoch[9] Batch [4000] Speed: 1234.39 samples/sec accuracy=0.348672 top_k_accuracy_5=0.593828 | |
| Epoch[9] Batch [4100] Speed: 1255.07 samples/sec accuracy=0.339062 top_k_accuracy_5=0.583555 | |
| Epoch[9] Batch [4200] Speed: 1273.37 samples/sec accuracy=0.336406 top_k_accuracy_5=0.585156 | |
| Epoch[9] Batch [4300] Speed: 1246.72 samples/sec accuracy=0.344648 top_k_accuracy_5=0.589063 | |
| Epoch[9] Batch [4400] Speed: 1237.64 samples/sec accuracy=0.347344 top_k_accuracy_5=0.593945 | |
| Epoch[9] Batch [4500] Speed: 1241.31 samples/sec accuracy=0.345781 top_k_accuracy_5=0.592773 | |
| Epoch[9] Batch [4600] Speed: 1243.80 samples/sec accuracy=0.341094 top_k_accuracy_5=0.590391 | |
| Epoch[9] Batch [4700] Speed: 1253.02 samples/sec accuracy=0.346953 top_k_accuracy_5=0.592344 | |
| Epoch[9] Batch [4800] Speed: 1263.83 samples/sec accuracy=0.342109 top_k_accuracy_5=0.585039 | |
| Epoch[9] Batch [4900] Speed: 1243.24 samples/sec accuracy=0.345078 top_k_accuracy_5=0.593164 | |
| Epoch[9] Batch [5000] Speed: 1251.01 samples/sec accuracy=0.344570 top_k_accuracy_5=0.592305 | |
| Epoch[9] Train-accuracy=0.338542 | |
| Epoch[9] Train-top_k_accuracy_5=0.565104 | |
| Epoch[9] Time cost=1028.586 | |
| Saved checkpoint to "model/resnet18-0010.params" | |
| Epoch[9] Validation-accuracy=0.355768 | |
| Epoch[9] Validation-top_k_accuracy_5=0.611767 | |
| Epoch[10] Batch [100] Speed: 1252.49 samples/sec accuracy=0.349319 top_k_accuracy_5=0.593827 | |
| Epoch[10] Batch [200] Speed: 1257.80 samples/sec accuracy=0.344219 top_k_accuracy_5=0.590625 | |
| Epoch[10] Batch [300] Speed: 1247.93 samples/sec accuracy=0.343711 top_k_accuracy_5=0.589492 | |
| Epoch[10] Batch [400] Speed: 1229.12 samples/sec accuracy=0.345078 top_k_accuracy_5=0.591211 | |
| Epoch[10] Batch [500] Speed: 1256.11 samples/sec accuracy=0.345859 top_k_accuracy_5=0.591523 | |
| Epoch[10] Batch [600] Speed: 1254.06 samples/sec accuracy=0.345430 top_k_accuracy_5=0.592930 | |
| Epoch[10] Batch [700] Speed: 1260.66 samples/sec accuracy=0.344336 top_k_accuracy_5=0.585820 | |
| Epoch[10] Batch [800] Speed: 1255.70 samples/sec accuracy=0.344180 top_k_accuracy_5=0.585703 | |
| Epoch[10] Batch [900] Speed: 1230.32 samples/sec accuracy=0.344375 top_k_accuracy_5=0.591953 | |
| Epoch[10] Batch [1000] Speed: 1238.91 samples/sec accuracy=0.345938 top_k_accuracy_5=0.589141 | |
| Epoch[10] Batch [1100] Speed: 1247.43 samples/sec accuracy=0.349141 top_k_accuracy_5=0.587187 | |
| Epoch[10] Batch [1200] Speed: 1256.21 samples/sec accuracy=0.345508 top_k_accuracy_5=0.587969 | |
| Epoch[10] Batch [1300] Speed: 1243.11 samples/sec accuracy=0.345430 top_k_accuracy_5=0.590742 | |
| Epoch[10] Batch [1400] Speed: 1241.85 samples/sec accuracy=0.342656 top_k_accuracy_5=0.592031 | |
| Epoch[10] Batch [1500] Speed: 1241.20 samples/sec accuracy=0.341602 top_k_accuracy_5=0.586367 | |
| Epoch[10] Batch [1600] Speed: 1251.43 samples/sec accuracy=0.343711 top_k_accuracy_5=0.589258 | |
| Epoch[10] Batch [1700] Speed: 1260.84 samples/sec accuracy=0.348320 top_k_accuracy_5=0.589727 | |
| Epoch[10] Batch [1800] Speed: 1246.47 samples/sec accuracy=0.342148 top_k_accuracy_5=0.590352 | |
| Epoch[10] Batch [1900] Speed: 1242.76 samples/sec accuracy=0.347031 top_k_accuracy_5=0.588594 | |
| Epoch[10] Batch [2000] Speed: 1238.07 samples/sec accuracy=0.349414 top_k_accuracy_5=0.593008 | |
| Epoch[10] Batch [2100] Speed: 1260.30 samples/sec accuracy=0.346953 top_k_accuracy_5=0.590742 | |
| Epoch[10] Batch [2200] Speed: 1264.47 samples/sec accuracy=0.343320 top_k_accuracy_5=0.590039 | |
| Epoch[10] Batch [2300] Speed: 1254.13 samples/sec accuracy=0.343359 top_k_accuracy_5=0.586172 | |
| Epoch[10] Batch [2400] Speed: 1246.48 samples/sec accuracy=0.344492 top_k_accuracy_5=0.588281 | |
| Epoch[10] Batch [2500] Speed: 1232.10 samples/sec accuracy=0.348281 top_k_accuracy_5=0.593984 | |
| Epoch[10] Batch [2600] Speed: 1250.61 samples/sec accuracy=0.346836 top_k_accuracy_5=0.593516 | |
| Epoch[10] Batch [2700] Speed: 1263.20 samples/sec accuracy=0.345430 top_k_accuracy_5=0.590977 | |
| Epoch[10] Batch [2800] Speed: 1255.24 samples/sec accuracy=0.348398 top_k_accuracy_5=0.597969 | |
| Epoch[10] Batch [2900] Speed: 1226.88 samples/sec accuracy=0.348086 top_k_accuracy_5=0.590781 | |
| Epoch[10] Batch [3000] Speed: 1227.26 samples/sec accuracy=0.342813 top_k_accuracy_5=0.593242 | |
| Epoch[10] Batch [3100] Speed: 1232.69 samples/sec accuracy=0.343984 top_k_accuracy_5=0.588984 | |
| Epoch[10] Batch [3200] Speed: 1252.93 samples/sec accuracy=0.348398 top_k_accuracy_5=0.592031 | |
| Epoch[10] Batch [3300] Speed: 1249.10 samples/sec accuracy=0.348594 top_k_accuracy_5=0.588867 | |
| Epoch[10] Batch [3400] Speed: 1245.22 samples/sec accuracy=0.347617 top_k_accuracy_5=0.594609 | |
| Epoch[10] Batch [3500] Speed: 1237.03 samples/sec accuracy=0.352969 top_k_accuracy_5=0.596953 | |
| Epoch[10] Batch [3600] Speed: 1249.51 samples/sec accuracy=0.344258 top_k_accuracy_5=0.588633 | |
| Epoch[10] Batch [3700] Speed: 1243.36 samples/sec accuracy=0.343125 top_k_accuracy_5=0.589336 | |
| Epoch[10] Batch [3800] Speed: 1246.78 samples/sec accuracy=0.348672 top_k_accuracy_5=0.590469 | |
| Epoch[10] Batch [3900] Speed: 1236.51 samples/sec accuracy=0.347969 top_k_accuracy_5=0.589766 | |
| Epoch[10] Batch [4000] Speed: 1229.70 samples/sec accuracy=0.349492 top_k_accuracy_5=0.597148 | |
| Epoch[10] Batch [4100] Speed: 1244.62 samples/sec accuracy=0.339687 top_k_accuracy_5=0.591250 | |
| Epoch[10] Batch [4200] Speed: 1251.91 samples/sec accuracy=0.345742 top_k_accuracy_5=0.588750 | |
| Epoch[10] Batch [4300] Speed: 1261.73 samples/sec accuracy=0.349727 top_k_accuracy_5=0.594219 | |
| Epoch[10] Batch [4400] Speed: 1239.86 samples/sec accuracy=0.349570 top_k_accuracy_5=0.594141 | |
| Epoch[10] Batch [4500] Speed: 1223.48 samples/sec accuracy=0.348398 top_k_accuracy_5=0.592695 | |
| Epoch[10] Batch [4600] Speed: 1250.48 samples/sec accuracy=0.346289 top_k_accuracy_5=0.591211 | |
| Epoch[10] Batch [4700] Speed: 1244.79 samples/sec accuracy=0.349883 top_k_accuracy_5=0.594727 | |
| Epoch[10] Batch [4800] Speed: 1253.67 samples/sec accuracy=0.345352 top_k_accuracy_5=0.588359 | |
| Epoch[10] Batch [4900] Speed: 1249.16 samples/sec accuracy=0.346992 top_k_accuracy_5=0.596055 | |
| Epoch[10] Batch [5000] Speed: 1238.08 samples/sec accuracy=0.347305 top_k_accuracy_5=0.591211 | |
| Epoch[10] Train-accuracy=0.351562 | |
| Epoch[10] Train-top_k_accuracy_5=0.569336 | |
| Epoch[10] Time cost=1028.566 | |
| Saved checkpoint to "model/resnet18-0011.params" | |
| Epoch[10] Validation-accuracy=0.355148 | |
| Epoch[10] Validation-top_k_accuracy_5=0.611378 | |
| Epoch[11] Batch [100] Speed: 1252.40 samples/sec accuracy=0.347502 top_k_accuracy_5=0.595374 | |
| Epoch[11] Batch [200] Speed: 1258.97 samples/sec accuracy=0.350313 top_k_accuracy_5=0.595352 | |
| Epoch[11] Batch [300] Speed: 1254.42 samples/sec accuracy=0.348242 top_k_accuracy_5=0.596289 | |
| Epoch[11] Batch [400] Speed: 1234.90 samples/sec accuracy=0.348672 top_k_accuracy_5=0.591562 | |
| Epoch[11] Batch [500] Speed: 1243.04 samples/sec accuracy=0.353320 top_k_accuracy_5=0.591758 | |
| Epoch[11] Batch [600] Speed: 1252.01 samples/sec accuracy=0.348438 top_k_accuracy_5=0.592383 | |
| Epoch[11] Batch [700] Speed: 1249.74 samples/sec accuracy=0.347031 top_k_accuracy_5=0.591680 | |
| Epoch[11] Batch [800] Speed: 1253.35 samples/sec accuracy=0.347695 top_k_accuracy_5=0.595117 | |
| Epoch[11] Batch [900] Speed: 1229.74 samples/sec accuracy=0.346758 top_k_accuracy_5=0.591992 | |
| Epoch[11] Batch [1000] Speed: 1247.43 samples/sec accuracy=0.348594 top_k_accuracy_5=0.593789 | |
| Epoch[11] Batch [1100] Speed: 1260.36 samples/sec accuracy=0.351836 top_k_accuracy_5=0.594922 | |
| Epoch[11] Batch [1200] Speed: 1254.17 samples/sec accuracy=0.350195 top_k_accuracy_5=0.593711 | |
| Epoch[11] Batch [1300] Speed: 1237.14 samples/sec accuracy=0.343281 top_k_accuracy_5=0.589219 | |
| Epoch[11] Batch [1400] Speed: 1234.83 samples/sec accuracy=0.354258 top_k_accuracy_5=0.601406 | |
| Epoch[11] Batch [1500] Speed: 1246.21 samples/sec accuracy=0.348281 top_k_accuracy_5=0.591055 | |
| Epoch[11] Batch [1600] Speed: 1255.01 samples/sec accuracy=0.346992 top_k_accuracy_5=0.592305 | |
| Epoch[11] Batch [1700] Speed: 1251.11 samples/sec accuracy=0.351680 top_k_accuracy_5=0.600078 | |
| Epoch[11] Batch [1800] Speed: 1246.73 samples/sec accuracy=0.348281 top_k_accuracy_5=0.589766 | |
| Epoch[11] Batch [1900] Speed: 1230.62 samples/sec accuracy=0.349766 top_k_accuracy_5=0.594414 | |
| Epoch[11] Batch [2000] Speed: 1241.78 samples/sec accuracy=0.348203 top_k_accuracy_5=0.592031 | |
| Epoch[11] Batch [2100] Speed: 1249.42 samples/sec accuracy=0.350781 top_k_accuracy_5=0.595391 | |
| Epoch[11] Batch [2200] Speed: 1260.74 samples/sec accuracy=0.347891 top_k_accuracy_5=0.592383 | |
| Epoch[11] Batch [2300] Speed: 1269.85 samples/sec accuracy=0.350742 top_k_accuracy_5=0.593789 | |
| Epoch[11] Batch [2400] Speed: 1247.68 samples/sec accuracy=0.346562 top_k_accuracy_5=0.593242 | |
| Epoch[11] Batch [2500] Speed: 1235.09 samples/sec accuracy=0.351133 top_k_accuracy_5=0.596094 | |
| Epoch[11] Batch [2600] Speed: 1244.26 samples/sec accuracy=0.346172 top_k_accuracy_5=0.592461 | |
| Epoch[11] Batch [2700] Speed: 1241.02 samples/sec accuracy=0.349805 top_k_accuracy_5=0.593945 | |
| Epoch[11] Batch [2800] Speed: 1251.96 samples/sec accuracy=0.353789 top_k_accuracy_5=0.594297 | |
| Epoch[11] Batch [2900] Speed: 1235.35 samples/sec accuracy=0.354258 top_k_accuracy_5=0.594570 | |
| Epoch[11] Batch [3000] Speed: 1230.24 samples/sec accuracy=0.344766 top_k_accuracy_5=0.593398 | |
| Epoch[11] Batch [3100] Speed: 1253.34 samples/sec accuracy=0.347148 top_k_accuracy_5=0.591875 | |
| Epoch[11] Batch [3200] Speed: 1256.72 samples/sec accuracy=0.351641 top_k_accuracy_5=0.597773 | |
| Epoch[11] Batch [3300] Speed: 1254.48 samples/sec accuracy=0.352734 top_k_accuracy_5=0.596719 | |
| Epoch[11] Batch [3400] Speed: 1251.09 samples/sec accuracy=0.347187 top_k_accuracy_5=0.594883 | |
| Epoch[11] Batch [3500] Speed: 1220.01 samples/sec accuracy=0.358711 top_k_accuracy_5=0.600273 | |
| Epoch[11] Batch [3600] Speed: 1242.04 samples/sec accuracy=0.340938 top_k_accuracy_5=0.593281 | |
| Epoch[11] Batch [3700] Speed: 1257.78 samples/sec accuracy=0.348086 top_k_accuracy_5=0.595313 | |
| Epoch[11] Batch [3800] Speed: 1245.32 samples/sec accuracy=0.352031 top_k_accuracy_5=0.595781 | |
| Epoch[11] Batch [3900] Speed: 1234.27 samples/sec accuracy=0.347344 top_k_accuracy_5=0.592109 | |
| Epoch[11] Batch [4000] Speed: 1239.29 samples/sec accuracy=0.353750 top_k_accuracy_5=0.593594 | |
| Epoch[11] Batch [4100] Speed: 1235.82 samples/sec accuracy=0.347813 top_k_accuracy_5=0.592891 | |
| Epoch[11] Batch [4200] Speed: 1253.06 samples/sec accuracy=0.349453 top_k_accuracy_5=0.595508 | |
| Epoch[11] Batch [4300] Speed: 1254.42 samples/sec accuracy=0.350117 top_k_accuracy_5=0.596367 | |
| Epoch[11] Batch [4400] Speed: 1243.24 samples/sec accuracy=0.350273 top_k_accuracy_5=0.595156 | |
| Epoch[11] Batch [4500] Speed: 1228.24 samples/sec accuracy=0.352109 top_k_accuracy_5=0.593906 | |
| Epoch[11] Batch [4600] Speed: 1251.40 samples/sec accuracy=0.346523 top_k_accuracy_5=0.593750 | |
| Epoch[11] Batch [4700] Speed: 1243.42 samples/sec accuracy=0.349297 top_k_accuracy_5=0.592812 | |
| Epoch[11] Batch [4800] Speed: 1261.46 samples/sec accuracy=0.348047 top_k_accuracy_5=0.591445 | |
| Epoch[11] Batch [4900] Speed: 1230.33 samples/sec accuracy=0.354063 top_k_accuracy_5=0.602969 | |
| Epoch[11] Batch [5000] Speed: 1240.23 samples/sec accuracy=0.348672 top_k_accuracy_5=0.596602 | |
| Epoch[11] Train-accuracy=0.338542 | |
| Epoch[11] Train-top_k_accuracy_5=0.557292 | |
| Epoch[11] Time cost=1028.681 | |
| Saved checkpoint to "model/resnet18-0012.params" | |
| Epoch[11] Validation-accuracy=0.357973 | |
| Epoch[11] Validation-top_k_accuracy_5=0.614183 | |
| Epoch[12] Batch [100] Speed: 1251.62 samples/sec accuracy=0.356165 top_k_accuracy_5=0.596844 | |
| Epoch[12] Batch [200] Speed: 1248.70 samples/sec accuracy=0.347891 top_k_accuracy_5=0.591797 | |
| Epoch[12] Batch [300] Speed: 1245.87 samples/sec accuracy=0.348203 top_k_accuracy_5=0.598203 | |
| Epoch[12] Batch [400] Speed: 1232.41 samples/sec accuracy=0.345820 top_k_accuracy_5=0.591523 | |
| Epoch[12] Batch [500] Speed: 1234.06 samples/sec accuracy=0.355078 top_k_accuracy_5=0.593750 | |
| Epoch[12] Batch [600] Speed: 1255.52 samples/sec accuracy=0.348398 top_k_accuracy_5=0.595898 | |
| Epoch[12] Batch [700] Speed: 1251.20 samples/sec accuracy=0.347734 top_k_accuracy_5=0.595859 | |
| Epoch[12] Batch [800] Speed: 1237.53 samples/sec accuracy=0.347305 top_k_accuracy_5=0.592305 | |
| Epoch[12] Batch [900] Speed: 1240.89 samples/sec accuracy=0.350039 top_k_accuracy_5=0.597031 | |
| Epoch[12] Batch [1000] Speed: 1248.96 samples/sec accuracy=0.352656 top_k_accuracy_5=0.599688 | |
| Epoch[12] Batch [1100] Speed: 1261.58 samples/sec accuracy=0.355820 top_k_accuracy_5=0.600664 | |
| Epoch[12] Batch [1200] Speed: 1253.04 samples/sec accuracy=0.349062 top_k_accuracy_5=0.595195 | |
| Epoch[12] Batch [1300] Speed: 1246.25 samples/sec accuracy=0.346289 top_k_accuracy_5=0.595352 | |
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| Epoch[12] Batch [1500] Speed: 1233.47 samples/sec accuracy=0.351875 top_k_accuracy_5=0.593555 | |
| Epoch[12] Batch [1600] Speed: 1252.30 samples/sec accuracy=0.346680 top_k_accuracy_5=0.594766 | |
| Epoch[12] Batch [1700] Speed: 1260.81 samples/sec accuracy=0.352461 top_k_accuracy_5=0.595039 | |
| Epoch[12] Batch [1800] Speed: 1247.97 samples/sec accuracy=0.349258 top_k_accuracy_5=0.596094 | |
| Epoch[12] Batch [1900] Speed: 1228.70 samples/sec accuracy=0.349687 top_k_accuracy_5=0.594883 | |
| Epoch[12] Batch [2000] Speed: 1227.57 samples/sec accuracy=0.352695 top_k_accuracy_5=0.599219 | |
| Epoch[12] Batch [2100] Speed: 1251.98 samples/sec accuracy=0.346914 top_k_accuracy_5=0.594336 | |
| Epoch[12] Batch [2200] Speed: 1252.50 samples/sec accuracy=0.352656 top_k_accuracy_5=0.596914 | |
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| Epoch[12] Batch [2500] Speed: 1225.45 samples/sec accuracy=0.350508 top_k_accuracy_5=0.597812 | |
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| Epoch[12] Batch [2900] Speed: 1233.73 samples/sec accuracy=0.352773 top_k_accuracy_5=0.593086 | |
| Epoch[12] Batch [3000] Speed: 1248.62 samples/sec accuracy=0.346484 top_k_accuracy_5=0.591523 | |
| Epoch[12] Batch [3100] Speed: 1238.24 samples/sec accuracy=0.349531 top_k_accuracy_5=0.594219 | |
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| Epoch[12] Batch [3700] Speed: 1239.17 samples/sec accuracy=0.355312 top_k_accuracy_5=0.597930 | |
| Epoch[12] Batch [3800] Speed: 1235.76 samples/sec accuracy=0.349453 top_k_accuracy_5=0.599258 | |
| Epoch[12] Batch [3900] Speed: 1224.37 samples/sec accuracy=0.345391 top_k_accuracy_5=0.595234 | |
| Epoch[12] Batch [4000] Speed: 1227.95 samples/sec accuracy=0.351289 top_k_accuracy_5=0.602422 | |
| Epoch[12] Batch [4100] Speed: 1244.84 samples/sec accuracy=0.349258 top_k_accuracy_5=0.593047 | |
| Epoch[12] Batch [4200] Speed: 1245.98 samples/sec accuracy=0.353086 top_k_accuracy_5=0.595625 | |
| Epoch[12] Batch [4300] Speed: 1250.76 samples/sec accuracy=0.355000 top_k_accuracy_5=0.597930 | |
| Epoch[12] Batch [4400] Speed: 1250.03 samples/sec accuracy=0.345938 top_k_accuracy_5=0.594414 | |
| Epoch[12] Batch [4500] Speed: 1228.21 samples/sec accuracy=0.353750 top_k_accuracy_5=0.598789 | |
| Epoch[12] Batch [4600] Speed: 1242.61 samples/sec accuracy=0.354063 top_k_accuracy_5=0.593828 | |
| Epoch[12] Batch [4700] Speed: 1245.77 samples/sec accuracy=0.354063 top_k_accuracy_5=0.596992 | |
| Epoch[12] Batch [4800] Speed: 1246.68 samples/sec accuracy=0.353398 top_k_accuracy_5=0.594336 | |
| Epoch[12] Batch [4900] Speed: 1242.79 samples/sec accuracy=0.351680 top_k_accuracy_5=0.602656 | |
| Epoch[12] Batch [5000] Speed: 1223.21 samples/sec accuracy=0.348633 top_k_accuracy_5=0.597500 | |
| Epoch[12] Train-accuracy=0.337891 | |
| Epoch[12] Train-top_k_accuracy_5=0.583008 | |
| Epoch[12] Time cost=1032.876 | |
| Saved checkpoint to "model/resnet18-0013.params" | |
| Epoch[12] Validation-accuracy=0.360352 | |
| Epoch[12] Validation-top_k_accuracy_5=0.618403 | |
| Epoch[13] Batch [100] Speed: 1248.89 samples/sec accuracy=0.354773 top_k_accuracy_5=0.602220 | |
| Epoch[13] Batch [200] Speed: 1257.93 samples/sec accuracy=0.353789 top_k_accuracy_5=0.600078 | |
| Epoch[13] Batch [300] Speed: 1237.20 samples/sec accuracy=0.354063 top_k_accuracy_5=0.600039 | |
| Epoch[13] Batch [400] Speed: 1218.78 samples/sec accuracy=0.345859 top_k_accuracy_5=0.594102 | |
| Epoch[13] Batch [500] Speed: 1227.29 samples/sec accuracy=0.357461 top_k_accuracy_5=0.601602 | |
| Epoch[13] Batch [600] Speed: 1247.63 samples/sec accuracy=0.348047 top_k_accuracy_5=0.597461 | |
| Epoch[13] Batch [700] Speed: 1249.25 samples/sec accuracy=0.350273 top_k_accuracy_5=0.596367 | |
| Epoch[13] Batch [800] Speed: 1242.16 samples/sec accuracy=0.349492 top_k_accuracy_5=0.593008 | |
| Epoch[13] Batch [900] Speed: 1239.39 samples/sec accuracy=0.352852 top_k_accuracy_5=0.598828 | |
| Epoch[13] Batch [1000] Speed: 1232.99 samples/sec accuracy=0.352344 top_k_accuracy_5=0.598242 | |
| Epoch[13] Batch [1100] Speed: 1245.88 samples/sec accuracy=0.357227 top_k_accuracy_5=0.599141 | |
| Epoch[13] Batch [1200] Speed: 1258.84 samples/sec accuracy=0.357383 top_k_accuracy_5=0.601797 | |
| Epoch[13] Batch [1300] Speed: 1242.89 samples/sec accuracy=0.354492 top_k_accuracy_5=0.603164 | |
| Epoch[13] Batch [1400] Speed: 1241.64 samples/sec accuracy=0.353281 top_k_accuracy_5=0.597031 | |
| Epoch[13] Batch [1500] Speed: 1226.94 samples/sec accuracy=0.352500 top_k_accuracy_5=0.597578 | |
| Epoch[13] Batch [1600] Speed: 1250.68 samples/sec accuracy=0.352578 top_k_accuracy_5=0.593477 | |
| Epoch[13] Batch [1700] Speed: 1240.71 samples/sec accuracy=0.350898 top_k_accuracy_5=0.599961 | |
| Epoch[13] Batch [1800] Speed: 1253.60 samples/sec accuracy=0.352070 top_k_accuracy_5=0.597539 | |
| Epoch[13] Batch [1900] Speed: 1233.31 samples/sec accuracy=0.352773 top_k_accuracy_5=0.598555 | |
| Epoch[13] Batch [2000] Speed: 1236.34 samples/sec accuracy=0.355391 top_k_accuracy_5=0.602227 | |
| Epoch[13] Batch [2100] Speed: 1250.94 samples/sec accuracy=0.353828 top_k_accuracy_5=0.597500 | |
| Epoch[13] Batch [2200] Speed: 1250.73 samples/sec accuracy=0.350352 top_k_accuracy_5=0.600742 | |
| Epoch[13] Batch [2300] Speed: 1254.91 samples/sec accuracy=0.351797 top_k_accuracy_5=0.597031 | |
| Epoch[13] Batch [2400] Speed: 1249.55 samples/sec accuracy=0.346328 top_k_accuracy_5=0.597070 | |
| Epoch[13] Batch [2500] Speed: 1227.59 samples/sec accuracy=0.358398 top_k_accuracy_5=0.599727 | |
| Epoch[13] Batch [2600] Speed: 1237.52 samples/sec accuracy=0.354727 top_k_accuracy_5=0.599844 | |
| Epoch[13] Batch [2700] Speed: 1249.38 samples/sec accuracy=0.350859 top_k_accuracy_5=0.595898 | |
| Epoch[13] Batch [2800] Speed: 1241.23 samples/sec accuracy=0.359336 top_k_accuracy_5=0.600898 | |
| Epoch[13] Batch [2900] Speed: 1228.45 samples/sec accuracy=0.354531 top_k_accuracy_5=0.597891 | |
| Epoch[13] Batch [3000] Speed: 1232.08 samples/sec accuracy=0.354609 top_k_accuracy_5=0.598945 | |
| Epoch[13] Batch [3100] Speed: 1223.81 samples/sec accuracy=0.351875 top_k_accuracy_5=0.590781 | |
| Epoch[13] Batch [3200] Speed: 1251.08 samples/sec accuracy=0.358516 top_k_accuracy_5=0.603945 | |
| Epoch[13] Batch [3300] Speed: 1257.91 samples/sec accuracy=0.349453 top_k_accuracy_5=0.594648 | |
| Epoch[13] Batch [3400] Speed: 1242.44 samples/sec accuracy=0.355312 top_k_accuracy_5=0.599727 | |
| Epoch[13] Batch [3500] Speed: 1238.55 samples/sec accuracy=0.361680 top_k_accuracy_5=0.602031 | |
| Epoch[13] Batch [3600] Speed: 1235.43 samples/sec accuracy=0.347461 top_k_accuracy_5=0.595352 | |
| Epoch[13] Batch [3700] Speed: 1256.31 samples/sec accuracy=0.353672 top_k_accuracy_5=0.602305 | |
| Epoch[13] Batch [3800] Speed: 1255.02 samples/sec accuracy=0.356875 top_k_accuracy_5=0.601914 | |
| Epoch[13] Batch [3900] Speed: 1246.90 samples/sec accuracy=0.351992 top_k_accuracy_5=0.594883 | |
| Epoch[13] Batch [4000] Speed: 1225.94 samples/sec accuracy=0.358906 top_k_accuracy_5=0.607891 | |
| Epoch[13] Batch [4100] Speed: 1227.34 samples/sec accuracy=0.350664 top_k_accuracy_5=0.594023 | |
| Epoch[13] Batch [4200] Speed: 1252.74 samples/sec accuracy=0.352383 top_k_accuracy_5=0.600977 | |
| Epoch[13] Batch [4300] Speed: 1241.31 samples/sec accuracy=0.353320 top_k_accuracy_5=0.599844 | |
| Epoch[13] Batch [4400] Speed: 1243.47 samples/sec accuracy=0.353672 top_k_accuracy_5=0.602461 | |
| Epoch[13] Batch [4500] Speed: 1231.96 samples/sec accuracy=0.355234 top_k_accuracy_5=0.601484 | |
| Epoch[13] Batch [4600] Speed: 1238.01 samples/sec accuracy=0.353906 top_k_accuracy_5=0.597891 | |
| Epoch[13] Batch [4700] Speed: 1251.51 samples/sec accuracy=0.354531 top_k_accuracy_5=0.601250 | |
| Epoch[13] Batch [4800] Speed: 1247.27 samples/sec accuracy=0.351133 top_k_accuracy_5=0.594492 | |
| Epoch[13] Batch [4900] Speed: 1244.51 samples/sec accuracy=0.357227 top_k_accuracy_5=0.600469 | |
| Epoch[13] Batch [5000] Speed: 1233.38 samples/sec accuracy=0.351758 top_k_accuracy_5=0.595547 | |
| Epoch[13] Train-accuracy=0.388021 | |
| Epoch[13] Train-top_k_accuracy_5=0.631510 | |
| Epoch[13] Time cost=1031.833 | |
| Saved checkpoint to "model/resnet18-0014.params" | |
| Epoch[13] Validation-accuracy=0.365845 | |
| Epoch[13] Validation-top_k_accuracy_5=0.620292 | |
| Epoch[14] Batch [100] Speed: 1224.57 samples/sec accuracy=0.356629 top_k_accuracy_5=0.601176 | |
| Epoch[14] Batch [200] Speed: 1235.33 samples/sec accuracy=0.354687 top_k_accuracy_5=0.600781 | |
| Epoch[14] Batch [300] Speed: 1227.66 samples/sec accuracy=0.360859 top_k_accuracy_5=0.610234 | |
| Epoch[14] Batch [400] Speed: 1259.92 samples/sec accuracy=0.350430 top_k_accuracy_5=0.598437 | |
| Epoch[14] Batch [500] Speed: 1257.68 samples/sec accuracy=0.358828 top_k_accuracy_5=0.604766 | |
| Epoch[14] Batch [600] Speed: 1238.47 samples/sec accuracy=0.354180 top_k_accuracy_5=0.600742 | |
| Epoch[14] Batch [700] Speed: 1234.68 samples/sec accuracy=0.357070 top_k_accuracy_5=0.600742 | |
| Epoch[14] Batch [800] Speed: 1220.75 samples/sec accuracy=0.353711 top_k_accuracy_5=0.596680 | |
| Epoch[14] Batch [900] Speed: 1256.73 samples/sec accuracy=0.356289 top_k_accuracy_5=0.600469 | |
| Epoch[14] Batch [1000] Speed: 1252.27 samples/sec accuracy=0.352812 top_k_accuracy_5=0.597852 | |
| Epoch[14] Batch [1100] Speed: 1255.34 samples/sec accuracy=0.359023 top_k_accuracy_5=0.604180 | |
| Epoch[14] Batch [1200] Speed: 1244.77 samples/sec accuracy=0.354023 top_k_accuracy_5=0.602031 | |
| Epoch[14] Batch [1300] Speed: 1235.56 samples/sec accuracy=0.350938 top_k_accuracy_5=0.598711 | |
| Epoch[14] Batch [1400] Speed: 1234.38 samples/sec accuracy=0.356211 top_k_accuracy_5=0.605195 | |
| Epoch[14] Batch [1500] Speed: 1239.96 samples/sec accuracy=0.357930 top_k_accuracy_5=0.602578 | |
| Epoch[14] Batch [1600] Speed: 1246.71 samples/sec accuracy=0.352891 top_k_accuracy_5=0.595469 | |
| Epoch[14] Batch [1700] Speed: 1224.74 samples/sec accuracy=0.350078 top_k_accuracy_5=0.597539 | |
| Epoch[14] Batch [1800] Speed: 1214.01 samples/sec accuracy=0.350742 top_k_accuracy_5=0.597969 | |
| Epoch[14] Batch [1900] Speed: 1233.63 samples/sec accuracy=0.355820 top_k_accuracy_5=0.598867 | |
| Epoch[14] Batch [2000] Speed: 1262.72 samples/sec accuracy=0.354219 top_k_accuracy_5=0.597969 | |
| Epoch[14] Batch [2100] Speed: 1244.99 samples/sec accuracy=0.349531 top_k_accuracy_5=0.595469 | |
| Epoch[14] Batch [2200] Speed: 1234.48 samples/sec accuracy=0.351172 top_k_accuracy_5=0.597305 | |
| Epoch[14] Batch [2300] Speed: 1230.18 samples/sec accuracy=0.353789 top_k_accuracy_5=0.600586 | |
| Epoch[14] Batch [2400] Speed: 1235.52 samples/sec accuracy=0.350117 top_k_accuracy_5=0.598281 | |
| Epoch[14] Batch [2500] Speed: 1246.57 samples/sec accuracy=0.357109 top_k_accuracy_5=0.599531 | |
| Epoch[14] Batch [2600] Speed: 1264.11 samples/sec accuracy=0.355117 top_k_accuracy_5=0.597500 | |
| Epoch[14] Batch [2700] Speed: 1239.11 samples/sec accuracy=0.352656 top_k_accuracy_5=0.598906 | |
| Epoch[14] Batch [2800] Speed: 1224.06 samples/sec accuracy=0.356914 top_k_accuracy_5=0.599727 | |
| Epoch[14] Batch [2900] Speed: 1231.78 samples/sec accuracy=0.361523 top_k_accuracy_5=0.606914 | |
| Epoch[14] Batch [3000] Speed: 1247.68 samples/sec accuracy=0.343945 top_k_accuracy_5=0.592031 | |
| Epoch[14] Batch [3100] Speed: 1251.23 samples/sec accuracy=0.352891 top_k_accuracy_5=0.597383 | |
| Epoch[14] Batch [3200] Speed: 1233.65 samples/sec accuracy=0.357891 top_k_accuracy_5=0.606367 | |
| Epoch[14] Batch [3300] Speed: 1219.08 samples/sec accuracy=0.350898 top_k_accuracy_5=0.598086 | |
| Epoch[14] Batch [3400] Speed: 1218.02 samples/sec accuracy=0.358398 top_k_accuracy_5=0.603477 | |
| Epoch[14] Batch [3500] Speed: 1232.84 samples/sec accuracy=0.359727 top_k_accuracy_5=0.602266 | |
| Epoch[14] Batch [3600] Speed: 1237.38 samples/sec accuracy=0.349766 top_k_accuracy_5=0.599805 | |
| Epoch[14] Batch [3700] Speed: 1238.67 samples/sec accuracy=0.351992 top_k_accuracy_5=0.603281 | |
| Epoch[14] Batch [3800] Speed: 1220.29 samples/sec accuracy=0.359766 top_k_accuracy_5=0.602031 | |
| Epoch[14] Batch [3900] Speed: 1233.53 samples/sec accuracy=0.357617 top_k_accuracy_5=0.599883 | |
| Epoch[14] Batch [4000] Speed: 1235.81 samples/sec accuracy=0.358398 top_k_accuracy_5=0.603477 | |
| Epoch[14] Batch [4100] Speed: 1253.19 samples/sec accuracy=0.351914 top_k_accuracy_5=0.598711 | |
| Epoch[14] Batch [4200] Speed: 1246.04 samples/sec accuracy=0.354375 top_k_accuracy_5=0.599414 | |
| Epoch[14] Batch [4300] Speed: 1240.71 samples/sec accuracy=0.355703 top_k_accuracy_5=0.600938 | |
| Epoch[14] Batch [4400] Speed: 1231.76 samples/sec accuracy=0.358359 top_k_accuracy_5=0.604570 | |
| Epoch[14] Batch [4500] Speed: 1246.14 samples/sec accuracy=0.360820 top_k_accuracy_5=0.606211 | |
| Epoch[14] Batch [4600] Speed: 1249.56 samples/sec accuracy=0.353281 top_k_accuracy_5=0.598711 | |
| Epoch[14] Batch [4700] Speed: 1238.48 samples/sec accuracy=0.353203 top_k_accuracy_5=0.600313 | |
| Epoch[14] Batch [4800] Speed: 1230.64 samples/sec accuracy=0.356523 top_k_accuracy_5=0.600352 | |
| Epoch[14] Batch [4900] Speed: 1229.80 samples/sec accuracy=0.361719 top_k_accuracy_5=0.606367 | |
| Epoch[14] Batch [5000] Speed: 1251.67 samples/sec accuracy=0.353789 top_k_accuracy_5=0.605664 | |
| Epoch[14] Train-accuracy=0.351562 | |
| Epoch[14] Train-top_k_accuracy_5=0.590820 | |
| Epoch[14] Time cost=1034.838 | |
| Saved checkpoint to "model/resnet18-0015.params" | |
| Epoch[14] Validation-accuracy=0.358594 | |
| Epoch[14] Validation-top_k_accuracy_5=0.615004 | |
| Epoch[15] Batch [100] Speed: 1251.56 samples/sec accuracy=0.358524 top_k_accuracy_5=0.606088 | |
| Epoch[15] Batch [200] Speed: 1249.73 samples/sec accuracy=0.357695 top_k_accuracy_5=0.602930 | |
| Epoch[15] Batch [300] Speed: 1223.41 samples/sec accuracy=0.356367 top_k_accuracy_5=0.604336 | |
| Epoch[15] Batch [400] Speed: 1239.45 samples/sec accuracy=0.351953 top_k_accuracy_5=0.600430 | |
| Epoch[15] Batch [500] Speed: 1232.70 samples/sec accuracy=0.360352 top_k_accuracy_5=0.607617 | |
| Epoch[15] Batch [600] Speed: 1237.62 samples/sec accuracy=0.354453 top_k_accuracy_5=0.603203 | |
| Epoch[15] Batch [700] Speed: 1235.42 samples/sec accuracy=0.354102 top_k_accuracy_5=0.602031 | |
| Epoch[15] Batch [800] Speed: 1230.10 samples/sec accuracy=0.355664 top_k_accuracy_5=0.597305 | |
| Epoch[15] Batch [900] Speed: 1235.68 samples/sec accuracy=0.355352 top_k_accuracy_5=0.602734 | |
| Epoch[15] Batch [1000] Speed: 1240.11 samples/sec accuracy=0.354531 top_k_accuracy_5=0.598594 | |
| Epoch[15] Batch [1100] Speed: 1246.11 samples/sec accuracy=0.361875 top_k_accuracy_5=0.602773 | |
| Epoch[15] Batch [1200] Speed: 1245.91 samples/sec accuracy=0.357930 top_k_accuracy_5=0.605781 | |
| Epoch[15] Batch [1300] Speed: 1222.07 samples/sec accuracy=0.353086 top_k_accuracy_5=0.598711 | |
| Epoch[15] Batch [1400] Speed: 1228.55 samples/sec accuracy=0.356367 top_k_accuracy_5=0.601016 | |
| Epoch[15] Batch [1500] Speed: 1244.18 samples/sec accuracy=0.355039 top_k_accuracy_5=0.603320 | |
| Epoch[15] Batch [1600] Speed: 1249.91 samples/sec accuracy=0.350938 top_k_accuracy_5=0.601250 | |
| Epoch[15] Batch [1700] Speed: 1243.24 samples/sec accuracy=0.353359 top_k_accuracy_5=0.599492 | |
| Epoch[15] Batch [1800] Speed: 1238.69 samples/sec accuracy=0.360039 top_k_accuracy_5=0.602852 | |
| Epoch[15] Batch [1900] Speed: 1224.17 samples/sec accuracy=0.356836 top_k_accuracy_5=0.603281 | |
| Epoch[15] Batch [2000] Speed: 1249.42 samples/sec accuracy=0.358086 top_k_accuracy_5=0.604297 | |
| Epoch[15] Batch [2100] Speed: 1249.66 samples/sec accuracy=0.352695 top_k_accuracy_5=0.603281 | |
| Epoch[15] Batch [2200] Speed: 1243.13 samples/sec accuracy=0.352305 top_k_accuracy_5=0.598867 | |
| Epoch[15] Batch [2300] Speed: 1234.76 samples/sec accuracy=0.359258 top_k_accuracy_5=0.602539 | |
| Epoch[15] Batch [2400] Speed: 1215.40 samples/sec accuracy=0.355508 top_k_accuracy_5=0.602852 | |
| Epoch[15] Batch [2500] Speed: 1241.64 samples/sec accuracy=0.361367 top_k_accuracy_5=0.604961 | |
| Epoch[15] Batch [2600] Speed: 1256.94 samples/sec accuracy=0.357539 top_k_accuracy_5=0.606484 | |
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| Epoch[15] Batch [2900] Speed: 1221.00 samples/sec accuracy=0.356172 top_k_accuracy_5=0.602617 | |
| Epoch[15] Batch [3000] Speed: 1236.91 samples/sec accuracy=0.352461 top_k_accuracy_5=0.601445 | |
| Epoch[15] Batch [3100] Speed: 1237.52 samples/sec accuracy=0.353203 top_k_accuracy_5=0.598750 | |
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| Epoch[15] Batch [3400] Speed: 1217.67 samples/sec accuracy=0.356719 top_k_accuracy_5=0.604336 | |
| Epoch[15] Batch [3500] Speed: 1245.39 samples/sec accuracy=0.360742 top_k_accuracy_5=0.607461 | |
| Epoch[15] Batch [3600] Speed: 1250.34 samples/sec accuracy=0.354023 top_k_accuracy_5=0.601523 | |
| Epoch[15] Batch [3700] Speed: 1235.63 samples/sec accuracy=0.353750 top_k_accuracy_5=0.602109 | |
| Epoch[15] Batch [3800] Speed: 1224.29 samples/sec accuracy=0.359766 top_k_accuracy_5=0.602422 | |
| Epoch[15] Batch [3900] Speed: 1234.37 samples/sec accuracy=0.355742 top_k_accuracy_5=0.601055 | |
| Epoch[15] Batch [4000] Speed: 1230.83 samples/sec accuracy=0.360156 top_k_accuracy_5=0.605781 | |
| Epoch[15] Batch [4100] Speed: 1249.03 samples/sec accuracy=0.356367 top_k_accuracy_5=0.600781 | |
| Epoch[15] Batch [4200] Speed: 1242.51 samples/sec accuracy=0.355742 top_k_accuracy_5=0.603359 | |
| Epoch[15] Batch [4300] Speed: 1232.54 samples/sec accuracy=0.358281 top_k_accuracy_5=0.603711 | |
| Epoch[15] Batch [4400] Speed: 1237.35 samples/sec accuracy=0.360273 top_k_accuracy_5=0.605391 | |
| Epoch[15] Batch [4500] Speed: 1222.34 samples/sec accuracy=0.357148 top_k_accuracy_5=0.605078 | |
| Epoch[15] Batch [4600] Speed: 1241.76 samples/sec accuracy=0.358555 top_k_accuracy_5=0.601914 | |
| Epoch[15] Batch [4700] Speed: 1249.24 samples/sec accuracy=0.357852 top_k_accuracy_5=0.607773 | |
| Epoch[15] Batch [4800] Speed: 1228.88 samples/sec accuracy=0.357734 top_k_accuracy_5=0.607070 | |
| Epoch[15] Batch [4900] Speed: 1226.23 samples/sec accuracy=0.363750 top_k_accuracy_5=0.611211 | |
| Epoch[15] Batch [5000] Speed: 1231.40 samples/sec accuracy=0.352812 top_k_accuracy_5=0.605078 | |
| Epoch[15] Train-accuracy=0.388021 | |
| Epoch[15] Train-top_k_accuracy_5=0.574219 | |
| Epoch[15] Time cost=1035.942 | |
| Saved checkpoint to "model/resnet18-0016.params" | |
| Epoch[15] Validation-accuracy=0.365365 | |
| Epoch[15] Validation-top_k_accuracy_5=0.621815 | |
| Epoch[16] Batch [100] Speed: 1229.17 samples/sec accuracy=0.360381 top_k_accuracy_5=0.610999 | |
| Epoch[16] Batch [200] Speed: 1239.58 samples/sec accuracy=0.358008 top_k_accuracy_5=0.597695 | |
| Epoch[16] Batch [300] Speed: 1226.76 samples/sec accuracy=0.359805 top_k_accuracy_5=0.610195 | |
| Epoch[16] Batch [400] Speed: 1218.05 samples/sec accuracy=0.354336 top_k_accuracy_5=0.600195 | |
| Epoch[16] Batch [500] Speed: 1224.90 samples/sec accuracy=0.360938 top_k_accuracy_5=0.600117 | |
| Epoch[16] Batch [600] Speed: 1239.75 samples/sec accuracy=0.355195 top_k_accuracy_5=0.602891 | |
| Epoch[16] Batch [700] Speed: 1242.51 samples/sec accuracy=0.356719 top_k_accuracy_5=0.604141 | |
| Epoch[16] Batch [800] Speed: 1232.53 samples/sec accuracy=0.353672 top_k_accuracy_5=0.600547 | |
| Epoch[16] Batch [900] Speed: 1229.44 samples/sec accuracy=0.360664 top_k_accuracy_5=0.607109 | |
| Epoch[16] Batch [1000] Speed: 1237.04 samples/sec accuracy=0.351914 top_k_accuracy_5=0.596133 | |
| Epoch[16] Batch [1100] Speed: 1238.57 samples/sec accuracy=0.361953 top_k_accuracy_5=0.607187 | |
| Epoch[16] Batch [1200] Speed: 1247.07 samples/sec accuracy=0.359414 top_k_accuracy_5=0.605313 | |
| Epoch[16] Batch [1300] Speed: 1230.67 samples/sec accuracy=0.355820 top_k_accuracy_5=0.601562 | |
| Epoch[16] Batch [1400] Speed: 1225.05 samples/sec accuracy=0.357500 top_k_accuracy_5=0.605742 | |
| Epoch[16] Batch [1500] Speed: 1233.70 samples/sec accuracy=0.359063 top_k_accuracy_5=0.602734 | |
| Epoch[16] Batch [1600] Speed: 1243.04 samples/sec accuracy=0.351953 top_k_accuracy_5=0.604805 | |
| Epoch[16] Batch [1700] Speed: 1241.89 samples/sec accuracy=0.354883 top_k_accuracy_5=0.604258 | |
| Epoch[16] Batch [1800] Speed: 1228.52 samples/sec accuracy=0.357578 top_k_accuracy_5=0.605820 | |
| Epoch[16] Batch [1900] Speed: 1214.20 samples/sec accuracy=0.355000 top_k_accuracy_5=0.599688 | |
| Epoch[16] Batch [2000] Speed: 1227.81 samples/sec accuracy=0.358711 top_k_accuracy_5=0.603711 | |
| Epoch[16] Batch [2100] Speed: 1238.80 samples/sec accuracy=0.357422 top_k_accuracy_5=0.596953 | |
| Epoch[16] Batch [2200] Speed: 1246.52 samples/sec accuracy=0.353984 top_k_accuracy_5=0.599531 | |
| Epoch[16] Batch [2300] Speed: 1227.55 samples/sec accuracy=0.355977 top_k_accuracy_5=0.595430 | |
| Epoch[16] Batch [2400] Speed: 1216.60 samples/sec accuracy=0.355625 top_k_accuracy_5=0.600820 | |
| Epoch[16] Batch [2500] Speed: 1222.21 samples/sec accuracy=0.359063 top_k_accuracy_5=0.602656 | |
| Epoch[16] Batch [2600] Speed: 1242.50 samples/sec accuracy=0.358477 top_k_accuracy_5=0.602891 | |
| Epoch[16] Batch [2700] Speed: 1228.54 samples/sec accuracy=0.360703 top_k_accuracy_5=0.605313 | |
| Epoch[16] Batch [2800] Speed: 1229.30 samples/sec accuracy=0.361953 top_k_accuracy_5=0.607617 | |
| Epoch[16] Batch [2900] Speed: 1217.11 samples/sec accuracy=0.361875 top_k_accuracy_5=0.600938 | |
| Epoch[16] Batch [3000] Speed: 1233.01 samples/sec accuracy=0.352773 top_k_accuracy_5=0.604453 | |
| Epoch[16] Batch [3100] Speed: 1241.64 samples/sec accuracy=0.354883 top_k_accuracy_5=0.602852 | |
| Epoch[16] Batch [3200] Speed: 1240.98 samples/sec accuracy=0.357695 top_k_accuracy_5=0.600430 | |
| Epoch[16] Batch [3300] Speed: 1237.54 samples/sec accuracy=0.354609 top_k_accuracy_5=0.601523 | |
| Epoch[16] Batch [3400] Speed: 1237.90 samples/sec accuracy=0.362266 top_k_accuracy_5=0.609727 | |
| Epoch[16] Batch [3500] Speed: 1246.16 samples/sec accuracy=0.361875 top_k_accuracy_5=0.603359 | |
| Epoch[16] Batch [3600] Speed: 1258.17 samples/sec accuracy=0.356563 top_k_accuracy_5=0.606602 | |
| Epoch[16] Batch [3700] Speed: 1252.56 samples/sec accuracy=0.353555 top_k_accuracy_5=0.602500 | |
| Epoch[16] Batch [3800] Speed: 1239.83 samples/sec accuracy=0.357461 top_k_accuracy_5=0.600820 | |
| Epoch[16] Batch [3900] Speed: 1230.16 samples/sec accuracy=0.359297 top_k_accuracy_5=0.602109 | |
| Epoch[16] Batch [4000] Speed: 1239.84 samples/sec accuracy=0.360234 top_k_accuracy_5=0.604648 | |
| Epoch[16] Batch [4100] Speed: 1258.56 samples/sec accuracy=0.353633 top_k_accuracy_5=0.603555 | |
| Epoch[16] Batch [4200] Speed: 1257.22 samples/sec accuracy=0.359375 top_k_accuracy_5=0.601133 | |
| Epoch[16] Batch [4300] Speed: 1257.72 samples/sec accuracy=0.357617 top_k_accuracy_5=0.604336 | |
| Epoch[16] Batch [4400] Speed: 1227.13 samples/sec accuracy=0.365352 top_k_accuracy_5=0.609297 | |
| Epoch[16] Batch [4500] Speed: 1237.89 samples/sec accuracy=0.360781 top_k_accuracy_5=0.605352 | |
| Epoch[16] Batch [4600] Speed: 1246.30 samples/sec accuracy=0.357109 top_k_accuracy_5=0.604453 | |
| Epoch[16] Batch [4700] Speed: 1266.46 samples/sec accuracy=0.358164 top_k_accuracy_5=0.604219 | |
| Epoch[16] Batch [4800] Speed: 1249.63 samples/sec accuracy=0.356758 top_k_accuracy_5=0.599922 | |
| Epoch[16] Batch [4900] Speed: 1241.19 samples/sec accuracy=0.361406 top_k_accuracy_5=0.612500 | |
| Epoch[16] Batch [5000] Speed: 1233.69 samples/sec accuracy=0.360508 top_k_accuracy_5=0.605547 | |
| Epoch[16] Train-accuracy=0.331055 | |
| Epoch[16] Train-top_k_accuracy_5=0.583984 | |
| Epoch[16] Time cost=1036.173 | |
| Saved checkpoint to "model/resnet18-0017.params" | |
| Epoch[16] Validation-accuracy=0.364238 | |
| Epoch[16] Validation-top_k_accuracy_5=0.618044 | |
| Epoch[17] Batch [100] Speed: 1256.53 samples/sec accuracy=0.360303 top_k_accuracy_5=0.605856 | |
| Epoch[17] Batch [200] Speed: 1248.72 samples/sec accuracy=0.357656 top_k_accuracy_5=0.604102 | |
| Epoch[17] Batch [300] Speed: 1242.03 samples/sec accuracy=0.363477 top_k_accuracy_5=0.605859 | |
| Epoch[17] Batch [400] Speed: 1240.29 samples/sec accuracy=0.360820 top_k_accuracy_5=0.603594 | |
| Epoch[17] Batch [500] Speed: 1237.36 samples/sec accuracy=0.362656 top_k_accuracy_5=0.608242 | |
| Epoch[17] Batch [600] Speed: 1253.73 samples/sec accuracy=0.363477 top_k_accuracy_5=0.606836 | |
| Epoch[17] Batch [700] Speed: 1251.44 samples/sec accuracy=0.356875 top_k_accuracy_5=0.603320 | |
| Epoch[17] Batch [800] Speed: 1238.06 samples/sec accuracy=0.355234 top_k_accuracy_5=0.601016 | |
| Epoch[17] Batch [900] Speed: 1231.95 samples/sec accuracy=0.361563 top_k_accuracy_5=0.606094 | |
| Epoch[17] Batch [1000] Speed: 1236.03 samples/sec accuracy=0.354727 top_k_accuracy_5=0.604844 | |
| Epoch[17] Batch [1100] Speed: 1260.21 samples/sec accuracy=0.361992 top_k_accuracy_5=0.604258 | |
| Epoch[17] Batch [1200] Speed: 1246.86 samples/sec accuracy=0.363281 top_k_accuracy_5=0.608516 | |
| Epoch[17] Batch [1300] Speed: 1253.58 samples/sec accuracy=0.353516 top_k_accuracy_5=0.604102 | |
| Epoch[17] Batch [1400] Speed: 1226.88 samples/sec accuracy=0.361484 top_k_accuracy_5=0.610664 | |
| Epoch[17] Batch [1500] Speed: 1242.83 samples/sec accuracy=0.359922 top_k_accuracy_5=0.608750 | |
| Epoch[17] Batch [1600] Speed: 1245.61 samples/sec accuracy=0.357461 top_k_accuracy_5=0.601250 | |
| Epoch[17] Batch [1700] Speed: 1257.66 samples/sec accuracy=0.360508 top_k_accuracy_5=0.605859 | |
| Epoch[17] Batch [1800] Speed: 1242.35 samples/sec accuracy=0.358359 top_k_accuracy_5=0.608633 | |
| Epoch[17] Batch [1900] Speed: 1239.09 samples/sec accuracy=0.361094 top_k_accuracy_5=0.604492 | |
| Epoch[17] Batch [2000] Speed: 1237.66 samples/sec accuracy=0.358047 top_k_accuracy_5=0.604375 | |
| Epoch[17] Batch [2100] Speed: 1244.04 samples/sec accuracy=0.360703 top_k_accuracy_5=0.602500 | |
| Epoch[17] Batch [2200] Speed: 1251.61 samples/sec accuracy=0.359297 top_k_accuracy_5=0.605234 | |
| Epoch[17] Batch [2300] Speed: 1247.70 samples/sec accuracy=0.359102 top_k_accuracy_5=0.605430 | |
| Epoch[17] Batch [2400] Speed: 1234.05 samples/sec accuracy=0.362031 top_k_accuracy_5=0.603828 | |
| Epoch[17] Batch [2500] Speed: 1236.31 samples/sec accuracy=0.361016 top_k_accuracy_5=0.603242 | |
| Epoch[17] Batch [2600] Speed: 1248.44 samples/sec accuracy=0.358984 top_k_accuracy_5=0.607852 | |
| Epoch[17] Batch [2700] Speed: 1268.34 samples/sec accuracy=0.361523 top_k_accuracy_5=0.602852 | |
| Epoch[17] Batch [2800] Speed: 1252.33 samples/sec accuracy=0.361641 top_k_accuracy_5=0.607305 | |
| Epoch[17] Batch [2900] Speed: 1247.28 samples/sec accuracy=0.359922 top_k_accuracy_5=0.601797 | |
| Epoch[17] Batch [3000] Speed: 1237.11 samples/sec accuracy=0.354063 top_k_accuracy_5=0.599805 | |
| Epoch[17] Batch [3100] Speed: 1263.73 samples/sec accuracy=0.359609 top_k_accuracy_5=0.604727 | |
| Epoch[17] Batch [3200] Speed: 1252.03 samples/sec accuracy=0.365938 top_k_accuracy_5=0.611953 | |
| Epoch[17] Batch [3300] Speed: 1255.97 samples/sec accuracy=0.363867 top_k_accuracy_5=0.604336 | |
| Epoch[17] Batch [3400] Speed: 1239.77 samples/sec accuracy=0.364297 top_k_accuracy_5=0.608437 | |
| Epoch[17] Batch [3500] Speed: 1241.46 samples/sec accuracy=0.365391 top_k_accuracy_5=0.609414 | |
| Epoch[17] Batch [3600] Speed: 1243.88 samples/sec accuracy=0.354609 top_k_accuracy_5=0.603398 | |
| Epoch[17] Batch [3700] Speed: 1261.34 samples/sec accuracy=0.357969 top_k_accuracy_5=0.605547 | |
| Epoch[17] Batch [3800] Speed: 1259.19 samples/sec accuracy=0.363477 top_k_accuracy_5=0.611445 | |
| Epoch[17] Batch [3900] Speed: 1249.24 samples/sec accuracy=0.362812 top_k_accuracy_5=0.604688 | |
| Epoch[17] Batch [4000] Speed: 1223.22 samples/sec accuracy=0.362500 top_k_accuracy_5=0.609727 | |
| Epoch[17] Batch [4100] Speed: 1231.72 samples/sec accuracy=0.356133 top_k_accuracy_5=0.600547 | |
| Epoch[17] Batch [4200] Speed: 1250.20 samples/sec accuracy=0.357187 top_k_accuracy_5=0.606523 | |
| Epoch[17] Batch [4300] Speed: 1254.29 samples/sec accuracy=0.357461 top_k_accuracy_5=0.603477 | |
| Epoch[17] Batch [4400] Speed: 1258.78 samples/sec accuracy=0.363711 top_k_accuracy_5=0.605195 | |
| Epoch[17] Batch [4500] Speed: 1233.87 samples/sec accuracy=0.360273 top_k_accuracy_5=0.605313 | |
| Epoch[17] Batch [4600] Speed: 1238.56 samples/sec accuracy=0.358750 top_k_accuracy_5=0.605039 | |
| Epoch[17] Batch [4700] Speed: 1257.75 samples/sec accuracy=0.363438 top_k_accuracy_5=0.608047 | |
| Epoch[17] Batch [4800] Speed: 1272.75 samples/sec accuracy=0.358945 top_k_accuracy_5=0.605352 | |
| Epoch[17] Batch [4900] Speed: 1250.79 samples/sec accuracy=0.365820 top_k_accuracy_5=0.609102 | |
| Epoch[17] Batch [5000] Speed: 1229.34 samples/sec accuracy=0.363516 top_k_accuracy_5=0.602773 | |
| Epoch[17] Train-accuracy=0.320312 | |
| Epoch[17] Train-top_k_accuracy_5=0.574219 | |
| Epoch[17] Time cost=1028.382 | |
| Saved checkpoint to "model/resnet18-0018.params" | |
| Epoch[17] Validation-accuracy=0.370312 | |
| Epoch[17] Validation-top_k_accuracy_5=0.626282 | |
| Epoch[18] Batch [100] Speed: 1257.86 samples/sec accuracy=0.364171 top_k_accuracy_5=0.609762 | |
| Epoch[18] Batch [200] Speed: 1251.62 samples/sec accuracy=0.357070 top_k_accuracy_5=0.602461 | |
| Epoch[18] Batch [300] Speed: 1252.45 samples/sec accuracy=0.360586 top_k_accuracy_5=0.608555 | |
| Epoch[18] Batch [400] Speed: 1223.50 samples/sec accuracy=0.363125 top_k_accuracy_5=0.605586 | |
| Epoch[18] Batch [500] Speed: 1248.66 samples/sec accuracy=0.364883 top_k_accuracy_5=0.613047 | |
| Epoch[18] Batch [600] Speed: 1268.25 samples/sec accuracy=0.358672 top_k_accuracy_5=0.604883 | |
| Epoch[18] Batch [700] Speed: 1249.32 samples/sec accuracy=0.361680 top_k_accuracy_5=0.603594 | |
| Epoch[18] Batch [800] Speed: 1238.22 samples/sec accuracy=0.357461 top_k_accuracy_5=0.607187 | |
| Epoch[18] Batch [900] Speed: 1234.68 samples/sec accuracy=0.360586 top_k_accuracy_5=0.604727 | |
| Epoch[18] Batch [1000] Speed: 1243.63 samples/sec accuracy=0.356211 top_k_accuracy_5=0.603594 | |
| Epoch[18] Batch [1100] Speed: 1255.18 samples/sec accuracy=0.366875 top_k_accuracy_5=0.610078 | |
| Epoch[18] Batch [1200] Speed: 1265.56 samples/sec accuracy=0.356563 top_k_accuracy_5=0.605391 | |
| Epoch[18] Batch [1300] Speed: 1247.74 samples/sec accuracy=0.359258 top_k_accuracy_5=0.603281 | |
| Epoch[18] Batch [1400] Speed: 1239.71 samples/sec accuracy=0.361641 top_k_accuracy_5=0.608320 | |
| Epoch[18] Batch [1500] Speed: 1241.18 samples/sec accuracy=0.357969 top_k_accuracy_5=0.605234 | |
| Epoch[18] Batch [1600] Speed: 1257.71 samples/sec accuracy=0.353555 top_k_accuracy_5=0.607187 | |
| Epoch[18] Batch [1700] Speed: 1260.63 samples/sec accuracy=0.356875 top_k_accuracy_5=0.605039 | |
| Epoch[18] Batch [1800] Speed: 1258.83 samples/sec accuracy=0.361211 top_k_accuracy_5=0.606445 | |
| Epoch[18] Batch [1900] Speed: 1236.58 samples/sec accuracy=0.361367 top_k_accuracy_5=0.603359 | |
| Epoch[18] Batch [2000] Speed: 1241.30 samples/sec accuracy=0.358242 top_k_accuracy_5=0.606250 | |
| Epoch[18] Batch [2100] Speed: 1239.14 samples/sec accuracy=0.366797 top_k_accuracy_5=0.608398 | |
| Epoch[18] Batch [2200] Speed: 1261.10 samples/sec accuracy=0.356289 top_k_accuracy_5=0.600820 | |
| Epoch[18] Batch [2300] Speed: 1251.17 samples/sec accuracy=0.356953 top_k_accuracy_5=0.605508 | |
| Epoch[18] Batch [2400] Speed: 1242.27 samples/sec accuracy=0.360039 top_k_accuracy_5=0.601328 | |
| Epoch[18] Batch [2500] Speed: 1240.52 samples/sec accuracy=0.363750 top_k_accuracy_5=0.610391 | |
| Epoch[18] Batch [2600] Speed: 1245.60 samples/sec accuracy=0.361445 top_k_accuracy_5=0.606680 | |
| Epoch[18] Batch [2700] Speed: 1253.00 samples/sec accuracy=0.361250 top_k_accuracy_5=0.603867 | |
| Epoch[18] Batch [2800] Speed: 1259.99 samples/sec accuracy=0.362266 top_k_accuracy_5=0.610859 | |
| Epoch[18] Batch [2900] Speed: 1237.62 samples/sec accuracy=0.366719 top_k_accuracy_5=0.607969 | |
| Epoch[18] Batch [3000] Speed: 1235.42 samples/sec accuracy=0.353008 top_k_accuracy_5=0.598555 | |
| Epoch[18] Batch [3100] Speed: 1253.82 samples/sec accuracy=0.359102 top_k_accuracy_5=0.601641 | |
| Epoch[18] Batch [3200] Speed: 1247.45 samples/sec accuracy=0.363125 top_k_accuracy_5=0.610938 | |
| Epoch[18] Batch [3300] Speed: 1268.51 samples/sec accuracy=0.363750 top_k_accuracy_5=0.606250 | |
| Epoch[18] Batch [3400] Speed: 1233.88 samples/sec accuracy=0.359336 top_k_accuracy_5=0.608242 | |
| Epoch[18] Batch [3500] Speed: 1228.54 samples/sec accuracy=0.362812 top_k_accuracy_5=0.610313 | |
| Epoch[18] Batch [3600] Speed: 1239.90 samples/sec accuracy=0.356367 top_k_accuracy_5=0.603633 | |
| Epoch[18] Batch [3700] Speed: 1257.33 samples/sec accuracy=0.358633 top_k_accuracy_5=0.605898 | |
| Epoch[18] Batch [3800] Speed: 1260.75 samples/sec accuracy=0.362461 top_k_accuracy_5=0.605742 | |
| Epoch[18] Batch [3900] Speed: 1253.52 samples/sec accuracy=0.363281 top_k_accuracy_5=0.608320 | |
| Epoch[18] Batch [4000] Speed: 1231.09 samples/sec accuracy=0.362656 top_k_accuracy_5=0.611250 | |
| Epoch[18] Batch [4100] Speed: 1243.17 samples/sec accuracy=0.358320 top_k_accuracy_5=0.606016 | |
| Epoch[18] Batch [4200] Speed: 1238.77 samples/sec accuracy=0.361211 top_k_accuracy_5=0.610508 | |
| Epoch[18] Batch [4300] Speed: 1262.19 samples/sec accuracy=0.360234 top_k_accuracy_5=0.602969 | |
| Epoch[18] Batch [4400] Speed: 1249.27 samples/sec accuracy=0.362578 top_k_accuracy_5=0.609102 | |
| Epoch[18] Batch [4500] Speed: 1241.75 samples/sec accuracy=0.365195 top_k_accuracy_5=0.608359 | |
| Epoch[18] Batch [4600] Speed: 1230.91 samples/sec accuracy=0.358516 top_k_accuracy_5=0.606719 | |
| Epoch[18] Batch [4700] Speed: 1260.86 samples/sec accuracy=0.358789 top_k_accuracy_5=0.602187 | |
| Epoch[18] Batch [4800] Speed: 1261.57 samples/sec accuracy=0.356328 top_k_accuracy_5=0.606836 | |
| Epoch[18] Batch [4900] Speed: 1243.40 samples/sec accuracy=0.367578 top_k_accuracy_5=0.611250 | |
| Epoch[18] Batch [5000] Speed: 1232.42 samples/sec accuracy=0.362500 top_k_accuracy_5=0.605859 | |
| Epoch[18] Train-accuracy=0.348958 | |
| Epoch[18] Train-top_k_accuracy_5=0.570312 | |
| Epoch[18] Time cost=1027.376 | |
| Saved checkpoint to "model/resnet18-0019.params" | |
| Epoch[18] Validation-accuracy=0.359615 | |
| Epoch[18] Validation-top_k_accuracy_5=0.615084 | |
| Epoch[19] Batch [100] Speed: 1263.69 samples/sec accuracy=0.362392 top_k_accuracy_5=0.610613 | |
| Epoch[19] Batch [200] Speed: 1266.36 samples/sec accuracy=0.363008 top_k_accuracy_5=0.602266 | |
| Epoch[19] Batch [300] Speed: 1244.37 samples/sec accuracy=0.360039 top_k_accuracy_5=0.608711 | |
| Epoch[19] Batch [400] Speed: 1246.81 samples/sec accuracy=0.360039 top_k_accuracy_5=0.603125 | |
| Epoch[19] Batch [500] Speed: 1252.33 samples/sec accuracy=0.363867 top_k_accuracy_5=0.611836 | |
| Epoch[19] Batch [600] Speed: 1271.20 samples/sec accuracy=0.360625 top_k_accuracy_5=0.608125 | |
| Epoch[19] Batch [700] Speed: 1266.35 samples/sec accuracy=0.361328 top_k_accuracy_5=0.605273 | |
| Epoch[19] Batch [800] Speed: 1250.94 samples/sec accuracy=0.357734 top_k_accuracy_5=0.604648 | |
| Epoch[19] Batch [900] Speed: 1223.96 samples/sec accuracy=0.363594 top_k_accuracy_5=0.610664 | |
| Epoch[19] Batch [1000] Speed: 1233.52 samples/sec accuracy=0.360781 top_k_accuracy_5=0.607539 | |
| Epoch[19] Batch [1100] Speed: 1265.03 samples/sec accuracy=0.368672 top_k_accuracy_5=0.614258 | |
| Epoch[19] Batch [1200] Speed: 1266.60 samples/sec accuracy=0.360273 top_k_accuracy_5=0.612695 | |
| Epoch[19] Batch [1300] Speed: 1244.47 samples/sec accuracy=0.357383 top_k_accuracy_5=0.604570 | |
| Epoch[19] Batch [1400] Speed: 1234.09 samples/sec accuracy=0.366445 top_k_accuracy_5=0.616641 | |
| Epoch[19] Batch [1500] Speed: 1234.32 samples/sec accuracy=0.361016 top_k_accuracy_5=0.607773 | |
| Epoch[19] Batch [1600] Speed: 1253.17 samples/sec accuracy=0.362422 top_k_accuracy_5=0.603750 | |
| Epoch[19] Batch [1700] Speed: 1257.60 samples/sec accuracy=0.359258 top_k_accuracy_5=0.610156 | |
| Epoch[19] Batch [1800] Speed: 1270.43 samples/sec accuracy=0.362578 top_k_accuracy_5=0.610469 | |
| Epoch[19] Batch [1900] Speed: 1254.12 samples/sec accuracy=0.363047 top_k_accuracy_5=0.607500 | |
| Epoch[19] Batch [2000] Speed: 1233.08 samples/sec accuracy=0.363789 top_k_accuracy_5=0.605664 | |
| Epoch[19] Batch [2100] Speed: 1246.91 samples/sec accuracy=0.356523 top_k_accuracy_5=0.604219 | |
| Epoch[19] Batch [2200] Speed: 1259.17 samples/sec accuracy=0.362617 top_k_accuracy_5=0.608125 | |
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| Epoch[19] Batch [2400] Speed: 1244.03 samples/sec accuracy=0.357539 top_k_accuracy_5=0.607109 | |
| Epoch[19] Batch [2500] Speed: 1243.51 samples/sec accuracy=0.358320 top_k_accuracy_5=0.603594 | |
| Epoch[19] Batch [2600] Speed: 1249.44 samples/sec accuracy=0.357930 top_k_accuracy_5=0.602305 | |
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| Epoch[19] Batch [2800] Speed: 1267.02 samples/sec accuracy=0.366016 top_k_accuracy_5=0.610703 | |
| Epoch[19] Batch [2900] Speed: 1247.35 samples/sec accuracy=0.362891 top_k_accuracy_5=0.608086 | |
| Epoch[19] Batch [3000] Speed: 1229.15 samples/sec accuracy=0.356836 top_k_accuracy_5=0.603281 | |
| Epoch[19] Batch [3100] Speed: 1250.21 samples/sec accuracy=0.359648 top_k_accuracy_5=0.602539 | |
| Epoch[19] Batch [3200] Speed: 1240.85 samples/sec accuracy=0.364023 top_k_accuracy_5=0.614727 | |
| Epoch[19] Batch [3300] Speed: 1237.71 samples/sec accuracy=0.361016 top_k_accuracy_5=0.605938 | |
| Epoch[19] Batch [3400] Speed: 1234.12 samples/sec accuracy=0.365508 top_k_accuracy_5=0.611641 | |
| Epoch[19] Batch [3500] Speed: 1216.06 samples/sec accuracy=0.369961 top_k_accuracy_5=0.610977 | |
| Epoch[19] Batch [3600] Speed: 1231.83 samples/sec accuracy=0.356641 top_k_accuracy_5=0.602969 | |
| Epoch[19] Batch [3700] Speed: 1237.22 samples/sec accuracy=0.356367 top_k_accuracy_5=0.600898 | |
| Epoch[19] Batch [3800] Speed: 1250.10 samples/sec accuracy=0.365664 top_k_accuracy_5=0.606797 | |
| Epoch[19] Batch [3900] Speed: 1230.31 samples/sec accuracy=0.363398 top_k_accuracy_5=0.608125 | |
| Epoch[19] Batch [4000] Speed: 1213.53 samples/sec accuracy=0.366289 top_k_accuracy_5=0.612344 | |
| Epoch[19] Batch [4100] Speed: 1237.51 samples/sec accuracy=0.366094 top_k_accuracy_5=0.611445 | |
| Epoch[19] Batch [4200] Speed: 1259.32 samples/sec accuracy=0.364805 top_k_accuracy_5=0.609883 | |
| Epoch[19] Batch [4300] Speed: 1249.97 samples/sec accuracy=0.362891 top_k_accuracy_5=0.609688 | |
| Epoch[19] Batch [4400] Speed: 1239.14 samples/sec accuracy=0.364258 top_k_accuracy_5=0.612500 | |
| Epoch[19] Batch [4500] Speed: 1241.36 samples/sec accuracy=0.358711 top_k_accuracy_5=0.605352 | |
| Epoch[19] Batch [4600] Speed: 1245.74 samples/sec accuracy=0.362422 top_k_accuracy_5=0.607187 | |
| Epoch[19] Batch [4700] Speed: 1245.55 samples/sec accuracy=0.363477 top_k_accuracy_5=0.608906 | |
| Epoch[19] Batch [4800] Speed: 1249.83 samples/sec accuracy=0.356758 top_k_accuracy_5=0.604219 | |
| Epoch[19] Batch [4900] Speed: 1247.86 samples/sec accuracy=0.370039 top_k_accuracy_5=0.615938 | |
| Epoch[19] Batch [5000] Speed: 1232.71 samples/sec accuracy=0.363828 top_k_accuracy_5=0.608203 | |
| Epoch[19] Train-accuracy=0.349609 | |
| Epoch[19] Train-top_k_accuracy_5=0.589844 | |
| Epoch[19] Time cost=1028.663 | |
| Saved checkpoint to "model/resnet18-0020.params" | |
| Epoch[19] Validation-accuracy=0.369898 | |
| Epoch[19] Validation-top_k_accuracy_5=0.625199 | |
| Epoch[20] Batch [100] Speed: 1242.67 samples/sec accuracy=0.366569 top_k_accuracy_5=0.611386 | |
| Epoch[20] Batch [200] Speed: 1262.31 samples/sec accuracy=0.365938 top_k_accuracy_5=0.609180 | |
| Epoch[20] Batch [300] Speed: 1245.30 samples/sec accuracy=0.361016 top_k_accuracy_5=0.607656 | |
| Epoch[20] Batch [400] Speed: 1223.53 samples/sec accuracy=0.358906 top_k_accuracy_5=0.608008 | |
| Epoch[20] Batch [500] Speed: 1242.36 samples/sec accuracy=0.362617 top_k_accuracy_5=0.610195 | |
| Epoch[20] Batch [600] Speed: 1276.74 samples/sec accuracy=0.363516 top_k_accuracy_5=0.608672 | |
| Epoch[20] Batch [700] Speed: 1262.28 samples/sec accuracy=0.359609 top_k_accuracy_5=0.606055 | |
| Epoch[20] Batch [800] Speed: 1246.25 samples/sec accuracy=0.361172 top_k_accuracy_5=0.606641 | |
| Epoch[20] Batch [900] Speed: 1236.32 samples/sec accuracy=0.361914 top_k_accuracy_5=0.607930 | |
| Epoch[20] Batch [1000] Speed: 1253.92 samples/sec accuracy=0.362187 top_k_accuracy_5=0.609492 | |
| Epoch[20] Batch [1100] Speed: 1258.73 samples/sec accuracy=0.365977 top_k_accuracy_5=0.610820 | |
| Epoch[20] Batch [1200] Speed: 1274.49 samples/sec accuracy=0.361406 top_k_accuracy_5=0.606484 | |
| Epoch[20] Batch [1300] Speed: 1263.02 samples/sec accuracy=0.359961 top_k_accuracy_5=0.609023 | |
| Epoch[20] Batch [1400] Speed: 1249.39 samples/sec accuracy=0.360898 top_k_accuracy_5=0.605938 | |
| Epoch[20] Batch [1500] Speed: 1242.97 samples/sec accuracy=0.361992 top_k_accuracy_5=0.608828 | |
| Epoch[20] Batch [1600] Speed: 1264.29 samples/sec accuracy=0.357070 top_k_accuracy_5=0.605977 | |
| Epoch[20] Batch [1700] Speed: 1267.04 samples/sec accuracy=0.367188 top_k_accuracy_5=0.613633 | |
| Epoch[20] Batch [1800] Speed: 1249.08 samples/sec accuracy=0.363008 top_k_accuracy_5=0.610000 | |
| Epoch[20] Batch [1900] Speed: 1241.34 samples/sec accuracy=0.362852 top_k_accuracy_5=0.606758 | |
| Epoch[20] Batch [2000] Speed: 1236.21 samples/sec accuracy=0.362695 top_k_accuracy_5=0.610156 | |
| Epoch[20] Batch [2100] Speed: 1258.30 samples/sec accuracy=0.365312 top_k_accuracy_5=0.610273 | |
| Epoch[20] Batch [2200] Speed: 1254.45 samples/sec accuracy=0.362969 top_k_accuracy_5=0.607695 | |
| Epoch[20] Batch [2300] Speed: 1266.50 samples/sec accuracy=0.362461 top_k_accuracy_5=0.604688 | |
| Epoch[20] Batch [2400] Speed: 1246.10 samples/sec accuracy=0.364180 top_k_accuracy_5=0.608711 | |
| Epoch[20] Batch [2500] Speed: 1242.21 samples/sec accuracy=0.366992 top_k_accuracy_5=0.610664 | |
| Epoch[20] Batch [2600] Speed: 1250.12 samples/sec accuracy=0.361211 top_k_accuracy_5=0.607852 | |
| Epoch[20] Batch [2700] Speed: 1261.03 samples/sec accuracy=0.362031 top_k_accuracy_5=0.610703 | |
| Epoch[20] Batch [2800] Speed: 1259.25 samples/sec accuracy=0.362891 top_k_accuracy_5=0.608633 | |
| Epoch[20] Batch [2900] Speed: 1251.01 samples/sec accuracy=0.362109 top_k_accuracy_5=0.608555 | |
| Epoch[20] Batch [3000] Speed: 1233.51 samples/sec accuracy=0.356563 top_k_accuracy_5=0.606914 | |
| Epoch[20] Batch [3100] Speed: 1250.84 samples/sec accuracy=0.360234 top_k_accuracy_5=0.602187 | |
| Epoch[20] Batch [3200] Speed: 1249.76 samples/sec accuracy=0.366641 top_k_accuracy_5=0.609180 | |
| Epoch[20] Batch [3300] Speed: 1247.47 samples/sec accuracy=0.364922 top_k_accuracy_5=0.609727 | |
| Epoch[20] Batch [3400] Speed: 1241.76 samples/sec accuracy=0.367227 top_k_accuracy_5=0.609141 | |
| Epoch[20] Batch [3500] Speed: 1222.90 samples/sec accuracy=0.370664 top_k_accuracy_5=0.614961 | |
| Epoch[20] Batch [3600] Speed: 1248.75 samples/sec accuracy=0.361563 top_k_accuracy_5=0.607930 | |
| Epoch[20] Batch [3700] Speed: 1257.68 samples/sec accuracy=0.361055 top_k_accuracy_5=0.608203 | |
| Epoch[20] Batch [3800] Speed: 1251.59 samples/sec accuracy=0.363516 top_k_accuracy_5=0.610391 | |
| Epoch[20] Batch [3900] Speed: 1250.63 samples/sec accuracy=0.359453 top_k_accuracy_5=0.605703 | |
| Epoch[20] Batch [4000] Speed: 1234.58 samples/sec accuracy=0.366797 top_k_accuracy_5=0.610742 | |
| Epoch[20] Batch [4100] Speed: 1245.07 samples/sec accuracy=0.355273 top_k_accuracy_5=0.604844 | |
| Epoch[20] Batch [4200] Speed: 1247.35 samples/sec accuracy=0.365156 top_k_accuracy_5=0.612891 | |
| Epoch[20] Batch [4300] Speed: 1257.39 samples/sec accuracy=0.359453 top_k_accuracy_5=0.602422 | |
| Epoch[20] Batch [4400] Speed: 1250.48 samples/sec accuracy=0.362148 top_k_accuracy_5=0.610547 | |
| Epoch[20] Batch [4500] Speed: 1230.95 samples/sec accuracy=0.363164 top_k_accuracy_5=0.608867 | |
| Epoch[20] Batch [4600] Speed: 1242.54 samples/sec accuracy=0.363008 top_k_accuracy_5=0.610781 | |
| Epoch[20] Batch [4700] Speed: 1242.70 samples/sec accuracy=0.364453 top_k_accuracy_5=0.607812 | |
| Epoch[20] Batch [4800] Speed: 1259.24 samples/sec accuracy=0.363320 top_k_accuracy_5=0.609102 | |
| Epoch[20] Batch [4900] Speed: 1244.34 samples/sec accuracy=0.368633 top_k_accuracy_5=0.610703 | |
| Epoch[20] Batch [5000] Speed: 1237.26 samples/sec accuracy=0.368711 top_k_accuracy_5=0.611445 | |
| Epoch[20] Train-accuracy=0.334635 | |
| Epoch[20] Train-top_k_accuracy_5=0.582031 | |
| Epoch[20] Time cost=1025.638 | |
| Saved checkpoint to "model/resnet18-0021.params" | |
| Epoch[20] Validation-accuracy=0.372015 | |
| Epoch[20] Validation-top_k_accuracy_5=0.624319 | |
| Epoch[21] Batch [100] Speed: 1238.76 samples/sec accuracy=0.368889 top_k_accuracy_5=0.615640 | |
| Epoch[21] Batch [200] Speed: 1234.34 samples/sec accuracy=0.368633 top_k_accuracy_5=0.614258 | |
| Epoch[21] Batch [300] Speed: 1239.04 samples/sec accuracy=0.362617 top_k_accuracy_5=0.613242 | |
| Epoch[21] Batch [400] Speed: 1236.09 samples/sec accuracy=0.360312 top_k_accuracy_5=0.607305 | |
| Epoch[21] Batch [500] Speed: 1241.12 samples/sec accuracy=0.364805 top_k_accuracy_5=0.607656 | |
| Epoch[21] Batch [600] Speed: 1239.54 samples/sec accuracy=0.361289 top_k_accuracy_5=0.605039 | |
| Epoch[21] Batch [700] Speed: 1233.47 samples/sec accuracy=0.358359 top_k_accuracy_5=0.608516 | |
| Epoch[21] Batch [800] Speed: 1230.32 samples/sec accuracy=0.360352 top_k_accuracy_5=0.610352 | |
| Epoch[21] Batch [900] Speed: 1227.59 samples/sec accuracy=0.359258 top_k_accuracy_5=0.610664 | |
| Epoch[21] Batch [1000] Speed: 1236.47 samples/sec accuracy=0.362148 top_k_accuracy_5=0.610820 | |
| Epoch[21] Batch [1100] Speed: 1261.97 samples/sec accuracy=0.365312 top_k_accuracy_5=0.614844 | |
| Epoch[21] Batch [1200] Speed: 1249.27 samples/sec accuracy=0.364063 top_k_accuracy_5=0.610781 | |
| Epoch[21] Batch [1300] Speed: 1249.64 samples/sec accuracy=0.363086 top_k_accuracy_5=0.610703 | |
| Epoch[21] Batch [1400] Speed: 1251.63 samples/sec accuracy=0.367422 top_k_accuracy_5=0.617266 | |
| Epoch[21] Batch [1500] Speed: 1245.46 samples/sec accuracy=0.360781 top_k_accuracy_5=0.612891 | |
| Epoch[21] Batch [1600] Speed: 1247.63 samples/sec accuracy=0.362227 top_k_accuracy_5=0.612422 | |
| Epoch[21] Batch [1700] Speed: 1258.62 samples/sec accuracy=0.366016 top_k_accuracy_5=0.612812 | |
| Epoch[21] Batch [1800] Speed: 1247.39 samples/sec accuracy=0.365664 top_k_accuracy_5=0.609883 | |
| Epoch[21] Batch [1900] Speed: 1239.04 samples/sec accuracy=0.357695 top_k_accuracy_5=0.606719 | |
| Epoch[21] Batch [2000] Speed: 1241.22 samples/sec accuracy=0.366563 top_k_accuracy_5=0.612852 | |
| Epoch[21] Batch [2100] Speed: 1249.89 samples/sec accuracy=0.364844 top_k_accuracy_5=0.610977 | |
| Epoch[21] Batch [2200] Speed: 1250.31 samples/sec accuracy=0.366250 top_k_accuracy_5=0.611094 | |
| Epoch[21] Batch [2300] Speed: 1241.66 samples/sec accuracy=0.360312 top_k_accuracy_5=0.606406 | |
| Epoch[21] Batch [2400] Speed: 1240.12 samples/sec accuracy=0.364844 top_k_accuracy_5=0.609727 | |
| Epoch[21] Batch [2500] Speed: 1235.36 samples/sec accuracy=0.367539 top_k_accuracy_5=0.612812 | |
| Epoch[21] Batch [2600] Speed: 1246.92 samples/sec accuracy=0.363672 top_k_accuracy_5=0.604961 | |
| Epoch[21] Batch [2700] Speed: 1255.00 samples/sec accuracy=0.363555 top_k_accuracy_5=0.607969 | |
| Epoch[21] Batch [2800] Speed: 1255.31 samples/sec accuracy=0.368906 top_k_accuracy_5=0.612031 | |
| Epoch[21] Batch [2900] Speed: 1245.06 samples/sec accuracy=0.365312 top_k_accuracy_5=0.614297 | |
| Epoch[21] Batch [3000] Speed: 1239.27 samples/sec accuracy=0.355820 top_k_accuracy_5=0.602578 | |
| Epoch[21] Batch [3100] Speed: 1251.31 samples/sec accuracy=0.363594 top_k_accuracy_5=0.605781 | |
| Epoch[21] Batch [3200] Speed: 1253.32 samples/sec accuracy=0.372266 top_k_accuracy_5=0.614336 | |
| Epoch[21] Batch [3300] Speed: 1263.69 samples/sec accuracy=0.361250 top_k_accuracy_5=0.605039 | |
| Epoch[21] Batch [3400] Speed: 1247.35 samples/sec accuracy=0.361992 top_k_accuracy_5=0.608594 | |
| Epoch[21] Batch [3500] Speed: 1235.25 samples/sec accuracy=0.368555 top_k_accuracy_5=0.613672 | |
| Epoch[21] Batch [3600] Speed: 1233.67 samples/sec accuracy=0.362148 top_k_accuracy_5=0.611641 | |
| Epoch[21] Batch [3700] Speed: 1252.16 samples/sec accuracy=0.359922 top_k_accuracy_5=0.613047 | |
| Epoch[21] Batch [3800] Speed: 1264.62 samples/sec accuracy=0.365312 top_k_accuracy_5=0.609805 | |
| Epoch[21] Batch [3900] Speed: 1250.58 samples/sec accuracy=0.362227 top_k_accuracy_5=0.606484 | |
| Epoch[21] Batch [4000] Speed: 1235.83 samples/sec accuracy=0.371914 top_k_accuracy_5=0.619570 | |
| Epoch[21] Batch [4100] Speed: 1241.57 samples/sec accuracy=0.363828 top_k_accuracy_5=0.609180 | |
| Epoch[21] Batch [4200] Speed: 1246.52 samples/sec accuracy=0.362383 top_k_accuracy_5=0.603359 | |
| Epoch[21] Batch [4300] Speed: 1253.72 samples/sec accuracy=0.362891 top_k_accuracy_5=0.609023 | |
| Epoch[21] Batch [4400] Speed: 1255.78 samples/sec accuracy=0.360625 top_k_accuracy_5=0.611914 | |
| Epoch[21] Batch [4500] Speed: 1236.10 samples/sec accuracy=0.365898 top_k_accuracy_5=0.612109 | |
| Epoch[21] Batch [4600] Speed: 1234.40 samples/sec accuracy=0.364609 top_k_accuracy_5=0.607109 | |
| Epoch[21] Batch [4700] Speed: 1259.38 samples/sec accuracy=0.365156 top_k_accuracy_5=0.610508 | |
| Epoch[21] Batch [4800] Speed: 1252.22 samples/sec accuracy=0.360703 top_k_accuracy_5=0.608828 | |
| Epoch[21] Batch [4900] Speed: 1255.44 samples/sec accuracy=0.367734 top_k_accuracy_5=0.616680 | |
| Epoch[21] Batch [5000] Speed: 1238.00 samples/sec accuracy=0.362383 top_k_accuracy_5=0.611367 | |
| Epoch[21] Train-accuracy=0.379883 | |
| Epoch[21] Train-top_k_accuracy_5=0.601562 | |
| Epoch[21] Time cost=1029.268 | |
| Saved checkpoint to "model/resnet18-0022.params" | |
| Epoch[21] Validation-accuracy=0.365665 | |
| Epoch[21] Validation-top_k_accuracy_5=0.625701 | |
| Epoch[22] Batch [100] Speed: 1254.90 samples/sec accuracy=0.362392 top_k_accuracy_5=0.613011 | |
| Epoch[22] Batch [200] Speed: 1239.83 samples/sec accuracy=0.363672 top_k_accuracy_5=0.606172 | |
| Epoch[22] Batch [300] Speed: 1241.47 samples/sec accuracy=0.361367 top_k_accuracy_5=0.606602 | |
| Epoch[22] Batch [400] Speed: 1248.64 samples/sec accuracy=0.363555 top_k_accuracy_5=0.608437 | |
| Epoch[22] Batch [500] Speed: 1263.00 samples/sec accuracy=0.365039 top_k_accuracy_5=0.613984 | |
| Epoch[22] Batch [600] Speed: 1262.88 samples/sec accuracy=0.361094 top_k_accuracy_5=0.607617 | |
| Epoch[22] Batch [700] Speed: 1233.18 samples/sec accuracy=0.359023 top_k_accuracy_5=0.607812 | |
| Epoch[22] Batch [800] Speed: 1245.73 samples/sec accuracy=0.358711 top_k_accuracy_5=0.605156 | |
| Epoch[22] Batch [900] Speed: 1257.04 samples/sec accuracy=0.364453 top_k_accuracy_5=0.612227 | |
| Epoch[22] Batch [1000] Speed: 1260.21 samples/sec accuracy=0.360781 top_k_accuracy_5=0.606172 | |
| Epoch[22] Batch [1100] Speed: 1269.33 samples/sec accuracy=0.370547 top_k_accuracy_5=0.613984 | |
| Epoch[22] Batch [1200] Speed: 1247.48 samples/sec accuracy=0.361172 top_k_accuracy_5=0.611367 | |
| Epoch[22] Batch [1300] Speed: 1236.32 samples/sec accuracy=0.361953 top_k_accuracy_5=0.608203 | |
| Epoch[22] Batch [1400] Speed: 1242.89 samples/sec accuracy=0.366953 top_k_accuracy_5=0.612305 | |
| Epoch[22] Batch [1500] Speed: 1255.11 samples/sec accuracy=0.362266 top_k_accuracy_5=0.608789 | |
| Epoch[22] Batch [1600] Speed: 1263.27 samples/sec accuracy=0.362578 top_k_accuracy_5=0.606289 | |
| Epoch[22] Batch [1700] Speed: 1245.37 samples/sec accuracy=0.363789 top_k_accuracy_5=0.607969 | |
| Epoch[22] Batch [1800] Speed: 1245.74 samples/sec accuracy=0.361797 top_k_accuracy_5=0.610508 | |
| Epoch[22] Batch [1900] Speed: 1252.55 samples/sec accuracy=0.368008 top_k_accuracy_5=0.611992 | |
| Epoch[22] Batch [2000] Speed: 1258.17 samples/sec accuracy=0.361016 top_k_accuracy_5=0.610352 | |
| Epoch[22] Batch [2100] Speed: 1257.37 samples/sec accuracy=0.362070 top_k_accuracy_5=0.606680 | |
| Epoch[22] Batch [2200] Speed: 1257.64 samples/sec accuracy=0.362422 top_k_accuracy_5=0.610430 | |
| Epoch[22] Batch [2300] Speed: 1240.34 samples/sec accuracy=0.359414 top_k_accuracy_5=0.606289 | |
| Epoch[22] Batch [2400] Speed: 1251.84 samples/sec accuracy=0.369805 top_k_accuracy_5=0.614492 | |
| Epoch[22] Batch [2500] Speed: 1251.20 samples/sec accuracy=0.362695 top_k_accuracy_5=0.610742 | |
| Epoch[22] Batch [2600] Speed: 1253.85 samples/sec accuracy=0.364648 top_k_accuracy_5=0.610781 | |
| Epoch[22] Batch [2700] Speed: 1258.66 samples/sec accuracy=0.368477 top_k_accuracy_5=0.610039 | |
| Epoch[22] Batch [2800] Speed: 1225.66 samples/sec accuracy=0.364297 top_k_accuracy_5=0.611211 | |
| Epoch[22] Batch [2900] Speed: 1231.56 samples/sec accuracy=0.364805 top_k_accuracy_5=0.612227 | |
| Epoch[22] Batch [3000] Speed: 1254.89 samples/sec accuracy=0.357109 top_k_accuracy_5=0.608359 | |
| Epoch[22] Batch [3100] Speed: 1252.18 samples/sec accuracy=0.363086 top_k_accuracy_5=0.608750 | |
| Epoch[22] Batch [3200] Speed: 1246.22 samples/sec accuracy=0.363086 top_k_accuracy_5=0.613164 | |
| Epoch[22] Batch [3300] Speed: 1236.96 samples/sec accuracy=0.367500 top_k_accuracy_5=0.613789 | |
| Epoch[22] Batch [3400] Speed: 1231.25 samples/sec accuracy=0.366680 top_k_accuracy_5=0.609258 | |
| Epoch[22] Batch [3500] Speed: 1247.36 samples/sec accuracy=0.375039 top_k_accuracy_5=0.616172 | |
| Epoch[22] Batch [3600] Speed: 1253.45 samples/sec accuracy=0.360039 top_k_accuracy_5=0.610039 | |
| Epoch[22] Batch [3700] Speed: 1249.80 samples/sec accuracy=0.363984 top_k_accuracy_5=0.614961 | |
| Epoch[22] Batch [3800] Speed: 1239.37 samples/sec accuracy=0.365195 top_k_accuracy_5=0.614453 | |
| Epoch[22] Batch [3900] Speed: 1248.94 samples/sec accuracy=0.366133 top_k_accuracy_5=0.611445 | |
| Epoch[22] Batch [4000] Speed: 1246.56 samples/sec accuracy=0.369844 top_k_accuracy_5=0.616250 | |
| Epoch[22] Batch [4100] Speed: 1262.43 samples/sec accuracy=0.357695 top_k_accuracy_5=0.606211 | |
| Epoch[22] Batch [4200] Speed: 1257.29 samples/sec accuracy=0.363008 top_k_accuracy_5=0.607227 | |
| Epoch[22] Batch [4300] Speed: 1239.92 samples/sec accuracy=0.366055 top_k_accuracy_5=0.608398 | |
| Epoch[22] Batch [4400] Speed: 1242.33 samples/sec accuracy=0.367070 top_k_accuracy_5=0.611328 | |
| Epoch[22] Batch [4500] Speed: 1243.48 samples/sec accuracy=0.368398 top_k_accuracy_5=0.613984 | |
| Epoch[22] Batch [4600] Speed: 1265.52 samples/sec accuracy=0.364922 top_k_accuracy_5=0.609453 | |
| Epoch[22] Batch [4700] Speed: 1260.57 samples/sec accuracy=0.364687 top_k_accuracy_5=0.610469 | |
| Epoch[22] Batch [4800] Speed: 1246.32 samples/sec accuracy=0.366094 top_k_accuracy_5=0.611367 | |
| Epoch[22] Batch [4900] Speed: 1236.35 samples/sec accuracy=0.369805 top_k_accuracy_5=0.616133 | |
| Epoch[22] Batch [5000] Speed: 1235.02 samples/sec accuracy=0.366055 top_k_accuracy_5=0.609570 | |
| Epoch[22] Train-accuracy=0.350260 | |
| Epoch[22] Train-top_k_accuracy_5=0.578125 | |
| Epoch[22] Time cost=1026.001 | |
| Saved checkpoint to "model/resnet18-0023.params" | |
| Epoch[22] Validation-accuracy=0.377252 | |
| Epoch[22] Validation-top_k_accuracy_5=0.634805 | |
| Epoch[23] Batch [100] Speed: 1260.01 samples/sec accuracy=0.363088 top_k_accuracy_5=0.612353 | |
| Epoch[23] Batch [200] Speed: 1254.91 samples/sec accuracy=0.361211 top_k_accuracy_5=0.609844 | |
| Epoch[23] Batch [300] Speed: 1241.14 samples/sec accuracy=0.363633 top_k_accuracy_5=0.615195 | |
| Epoch[23] Batch [400] Speed: 1245.88 samples/sec accuracy=0.360312 top_k_accuracy_5=0.610469 | |
| Epoch[23] Batch [500] Speed: 1244.63 samples/sec accuracy=0.367305 top_k_accuracy_5=0.614062 | |
| Epoch[23] Batch [600] Speed: 1263.63 samples/sec accuracy=0.364297 top_k_accuracy_5=0.611016 | |
| Epoch[23] Batch [700] Speed: 1250.65 samples/sec accuracy=0.360547 top_k_accuracy_5=0.608633 | |
| Epoch[23] Batch [800] Speed: 1234.33 samples/sec accuracy=0.361211 top_k_accuracy_5=0.608164 | |
| Epoch[23] Batch [900] Speed: 1224.38 samples/sec accuracy=0.360195 top_k_accuracy_5=0.608672 | |
| Epoch[23] Batch [1000] Speed: 1252.86 samples/sec accuracy=0.370430 top_k_accuracy_5=0.611445 | |
| Epoch[23] Batch [1100] Speed: 1245.43 samples/sec accuracy=0.371016 top_k_accuracy_5=0.614453 | |
| Epoch[23] Batch [1200] Speed: 1243.16 samples/sec accuracy=0.362656 top_k_accuracy_5=0.612227 | |
| Epoch[23] Batch [1300] Speed: 1244.14 samples/sec accuracy=0.363477 top_k_accuracy_5=0.610078 | |
| Epoch[23] Batch [1400] Speed: 1237.44 samples/sec accuracy=0.363750 top_k_accuracy_5=0.608203 | |
| Epoch[23] Batch [1500] Speed: 1245.97 samples/sec accuracy=0.366953 top_k_accuracy_5=0.609180 | |
| Epoch[23] Batch [1600] Speed: 1273.07 samples/sec accuracy=0.359570 top_k_accuracy_5=0.609883 | |
| Epoch[23] Batch [1700] Speed: 1251.55 samples/sec accuracy=0.366016 top_k_accuracy_5=0.613711 | |
| Epoch[23] Batch [1800] Speed: 1229.98 samples/sec accuracy=0.367617 top_k_accuracy_5=0.608594 | |
| Epoch[23] Batch [1900] Speed: 1227.12 samples/sec accuracy=0.362305 top_k_accuracy_5=0.608437 | |
| Epoch[23] Batch [2000] Speed: 1240.61 samples/sec accuracy=0.365312 top_k_accuracy_5=0.609219 | |
| Epoch[23] Batch [2100] Speed: 1248.74 samples/sec accuracy=0.361211 top_k_accuracy_5=0.612266 | |
| Epoch[23] Batch [2200] Speed: 1248.07 samples/sec accuracy=0.360781 top_k_accuracy_5=0.608437 | |
| Epoch[23] Batch [2300] Speed: 1237.38 samples/sec accuracy=0.365117 top_k_accuracy_5=0.608242 | |
| Epoch[23] Batch [2400] Speed: 1234.30 samples/sec accuracy=0.369570 top_k_accuracy_5=0.612891 | |
| Epoch[23] Batch [2500] Speed: 1257.33 samples/sec accuracy=0.364453 top_k_accuracy_5=0.609688 | |
| Epoch[23] Batch [2600] Speed: 1245.68 samples/sec accuracy=0.361328 top_k_accuracy_5=0.609453 | |
| Epoch[23] Batch [2700] Speed: 1255.40 samples/sec accuracy=0.365234 top_k_accuracy_5=0.612109 | |
| Epoch[23] Batch [2800] Speed: 1247.62 samples/sec accuracy=0.364883 top_k_accuracy_5=0.609336 | |
| Epoch[23] Batch [2900] Speed: 1235.61 samples/sec accuracy=0.370352 top_k_accuracy_5=0.615391 | |
| Epoch[23] Batch [3000] Speed: 1234.05 samples/sec accuracy=0.361563 top_k_accuracy_5=0.607227 | |
| Epoch[23] Batch [3100] Speed: 1249.49 samples/sec accuracy=0.361836 top_k_accuracy_5=0.605742 | |
| Epoch[23] Batch [3200] Speed: 1241.41 samples/sec accuracy=0.368437 top_k_accuracy_5=0.618594 | |
| Epoch[23] Batch [3300] Speed: 1247.73 samples/sec accuracy=0.362812 top_k_accuracy_5=0.608203 | |
| Epoch[23] Batch [3400] Speed: 1222.88 samples/sec accuracy=0.364297 top_k_accuracy_5=0.609844 | |
| Epoch[23] Batch [3500] Speed: 1233.03 samples/sec accuracy=0.370234 top_k_accuracy_5=0.615195 | |
| Epoch[23] Batch [3600] Speed: 1243.12 samples/sec accuracy=0.360938 top_k_accuracy_5=0.609688 | |
| Epoch[23] Batch [3700] Speed: 1249.04 samples/sec accuracy=0.361797 top_k_accuracy_5=0.609258 | |
| Epoch[23] Batch [3800] Speed: 1243.54 samples/sec accuracy=0.366680 top_k_accuracy_5=0.610820 | |
| Epoch[23] Batch [3900] Speed: 1222.60 samples/sec accuracy=0.363945 top_k_accuracy_5=0.611289 | |
| Epoch[23] Batch [4000] Speed: 1230.90 samples/sec accuracy=0.368711 top_k_accuracy_5=0.614375 | |
| Epoch[23] Batch [4100] Speed: 1245.41 samples/sec accuracy=0.361953 top_k_accuracy_5=0.609102 | |
| Epoch[23] Batch [4200] Speed: 1254.90 samples/sec accuracy=0.362031 top_k_accuracy_5=0.615820 | |
| Epoch[23] Batch [4300] Speed: 1241.10 samples/sec accuracy=0.367578 top_k_accuracy_5=0.612656 | |
| Epoch[23] Batch [4400] Speed: 1237.12 samples/sec accuracy=0.364687 top_k_accuracy_5=0.613711 | |
| Epoch[23] Batch [4500] Speed: 1240.98 samples/sec accuracy=0.362734 top_k_accuracy_5=0.612578 | |
| Epoch[23] Batch [4600] Speed: 1243.67 samples/sec accuracy=0.365625 top_k_accuracy_5=0.614570 | |
| Epoch[23] Batch [4700] Speed: 1252.28 samples/sec accuracy=0.367148 top_k_accuracy_5=0.614688 | |
| Epoch[23] Batch [4800] Speed: 1251.02 samples/sec accuracy=0.362734 top_k_accuracy_5=0.612461 | |
| Epoch[23] Batch [4900] Speed: 1240.05 samples/sec accuracy=0.365742 top_k_accuracy_5=0.612891 | |
| Epoch[23] Batch [5000] Speed: 1229.21 samples/sec accuracy=0.362031 top_k_accuracy_5=0.611797 | |
| Epoch[23] Train-accuracy=0.349609 | |
| Epoch[23] Train-top_k_accuracy_5=0.577148 | |
| Epoch[23] Time cost=1030.862 | |
| Saved checkpoint to "model/resnet18-0024.params" | |
| Epoch[23] Validation-accuracy=0.373618 | |
| Epoch[23] Validation-top_k_accuracy_5=0.631751 | |
| Epoch[24] Batch [100] Speed: 1253.67 samples/sec accuracy=0.369779 top_k_accuracy_5=0.619353 | |
| Epoch[24] Batch [200] Speed: 1249.31 samples/sec accuracy=0.361289 top_k_accuracy_5=0.610273 | |
| Epoch[24] Batch [300] Speed: 1246.91 samples/sec accuracy=0.365703 top_k_accuracy_5=0.617773 | |
| Epoch[24] Batch [400] Speed: 1232.62 samples/sec accuracy=0.362461 top_k_accuracy_5=0.608828 | |
| Epoch[24] Batch [500] Speed: 1229.39 samples/sec accuracy=0.364687 top_k_accuracy_5=0.613711 | |
| Epoch[24] Batch [600] Speed: 1243.99 samples/sec accuracy=0.363555 top_k_accuracy_5=0.612109 | |
| Epoch[24] Batch [700] Speed: 1247.43 samples/sec accuracy=0.365273 top_k_accuracy_5=0.610039 | |
| Epoch[24] Batch [800] Speed: 1239.27 samples/sec accuracy=0.362852 top_k_accuracy_5=0.611992 | |
| Epoch[24] Batch [900] Speed: 1227.90 samples/sec accuracy=0.367383 top_k_accuracy_5=0.615430 | |
| Epoch[24] Batch [1000] Speed: 1225.87 samples/sec accuracy=0.362969 top_k_accuracy_5=0.609336 | |
| Epoch[24] Batch [1100] Speed: 1241.14 samples/sec accuracy=0.373516 top_k_accuracy_5=0.613125 | |
| Epoch[24] Batch [1200] Speed: 1244.41 samples/sec accuracy=0.366836 top_k_accuracy_5=0.610313 | |
| Epoch[24] Batch [1300] Speed: 1247.25 samples/sec accuracy=0.366484 top_k_accuracy_5=0.611602 | |
| Epoch[24] Batch [1400] Speed: 1220.39 samples/sec accuracy=0.367812 top_k_accuracy_5=0.615234 | |
| Epoch[24] Batch [1500] Speed: 1225.02 samples/sec accuracy=0.364258 top_k_accuracy_5=0.612656 | |
| Epoch[24] Batch [1600] Speed: 1239.08 samples/sec accuracy=0.359023 top_k_accuracy_5=0.606914 | |
| Epoch[24] Batch [1700] Speed: 1245.69 samples/sec accuracy=0.365469 top_k_accuracy_5=0.609609 | |
| Epoch[24] Batch [1800] Speed: 1246.87 samples/sec accuracy=0.363320 top_k_accuracy_5=0.611523 | |
| Epoch[24] Batch [1900] Speed: 1237.10 samples/sec accuracy=0.365742 top_k_accuracy_5=0.610000 | |
| Epoch[24] Batch [2000] Speed: 1233.19 samples/sec accuracy=0.367383 top_k_accuracy_5=0.613828 | |
| Epoch[24] Batch [2100] Speed: 1235.62 samples/sec accuracy=0.364336 top_k_accuracy_5=0.610820 | |
| Epoch[24] Batch [2200] Speed: 1249.73 samples/sec accuracy=0.367578 top_k_accuracy_5=0.614023 | |
| Epoch[24] Batch [2300] Speed: 1233.83 samples/sec accuracy=0.365703 top_k_accuracy_5=0.611836 | |
| Epoch[24] Batch [2400] Speed: 1224.37 samples/sec accuracy=0.363867 top_k_accuracy_5=0.610781 | |
| Epoch[24] Batch [2500] Speed: 1222.40 samples/sec accuracy=0.366680 top_k_accuracy_5=0.607695 | |
| Epoch[24] Batch [2600] Speed: 1235.79 samples/sec accuracy=0.362305 top_k_accuracy_5=0.611133 | |
| Epoch[24] Batch [2700] Speed: 1252.06 samples/sec accuracy=0.367305 top_k_accuracy_5=0.609219 | |
| Epoch[24] Batch [2800] Speed: 1236.97 samples/sec accuracy=0.367188 top_k_accuracy_5=0.612148 | |
| Epoch[24] Batch [2900] Speed: 1241.58 samples/sec accuracy=0.369883 top_k_accuracy_5=0.616875 | |
| Epoch[24] Batch [3000] Speed: 1227.57 samples/sec accuracy=0.357500 top_k_accuracy_5=0.606758 | |
| Epoch[24] Batch [3100] Speed: 1246.76 samples/sec accuracy=0.359023 top_k_accuracy_5=0.607773 | |
| Epoch[24] Batch [3200] Speed: 1241.55 samples/sec accuracy=0.374258 top_k_accuracy_5=0.616289 | |
| Epoch[24] Batch [3300] Speed: 1253.20 samples/sec accuracy=0.365469 top_k_accuracy_5=0.611641 | |
| Epoch[24] Batch [3400] Speed: 1242.73 samples/sec accuracy=0.365078 top_k_accuracy_5=0.611992 | |
| Epoch[24] Batch [3500] Speed: 1236.53 samples/sec accuracy=0.371211 top_k_accuracy_5=0.613320 | |
| Epoch[24] Batch [3600] Speed: 1236.57 samples/sec accuracy=0.362422 top_k_accuracy_5=0.609023 | |
| Epoch[24] Batch [3700] Speed: 1236.45 samples/sec accuracy=0.362656 top_k_accuracy_5=0.610195 | |
| Epoch[24] Batch [3800] Speed: 1257.02 samples/sec accuracy=0.365273 top_k_accuracy_5=0.608594 | |
| Epoch[24] Batch [3900] Speed: 1244.73 samples/sec accuracy=0.364102 top_k_accuracy_5=0.607656 | |
| Epoch[24] Batch [4000] Speed: 1228.79 samples/sec accuracy=0.373437 top_k_accuracy_5=0.613789 | |
| Epoch[24] Batch [4100] Speed: 1239.03 samples/sec accuracy=0.364766 top_k_accuracy_5=0.609531 | |
| Epoch[24] Batch [4200] Speed: 1246.70 samples/sec accuracy=0.366172 top_k_accuracy_5=0.611836 | |
| Epoch[24] Batch [4300] Speed: 1244.81 samples/sec accuracy=0.363633 top_k_accuracy_5=0.611602 | |
| Epoch[24] Batch [4400] Speed: 1237.29 samples/sec accuracy=0.367773 top_k_accuracy_5=0.613047 | |
| Epoch[24] Batch [4500] Speed: 1229.73 samples/sec accuracy=0.364492 top_k_accuracy_5=0.611367 | |
| Epoch[24] Batch [4600] Speed: 1235.72 samples/sec accuracy=0.365977 top_k_accuracy_5=0.611719 | |
| Epoch[24] Batch [4700] Speed: 1263.17 samples/sec accuracy=0.363594 top_k_accuracy_5=0.611172 | |
| Epoch[24] Batch [4800] Speed: 1249.19 samples/sec accuracy=0.364570 top_k_accuracy_5=0.611523 | |
| Epoch[24] Batch [4900] Speed: 1237.01 samples/sec accuracy=0.369844 top_k_accuracy_5=0.613398 | |
| Epoch[24] Batch [5000] Speed: 1226.36 samples/sec accuracy=0.361719 top_k_accuracy_5=0.608984 | |
| Epoch[24] Train-accuracy=0.363281 | |
| Epoch[24] Train-top_k_accuracy_5=0.596354 | |
| Epoch[24] Time cost=1033.965 | |
| Saved checkpoint to "model/resnet18-0025.params" | |
| Epoch[24] Validation-accuracy=0.375140 | |
| Epoch[24] Validation-top_k_accuracy_5=0.633574 | |
| Epoch[25] Batch [100] Speed: 1251.14 samples/sec accuracy=0.370166 top_k_accuracy_5=0.619972 | |
| Epoch[25] Batch [200] Speed: 1240.64 samples/sec accuracy=0.363281 top_k_accuracy_5=0.611172 | |
| Epoch[25] Batch [300] Speed: 1255.95 samples/sec accuracy=0.367422 top_k_accuracy_5=0.617031 | |
| Epoch[25] Batch [400] Speed: 1236.21 samples/sec accuracy=0.368633 top_k_accuracy_5=0.612852 | |
| Epoch[25] Batch [500] Speed: 1246.64 samples/sec accuracy=0.364453 top_k_accuracy_5=0.609102 | |
| Epoch[25] Batch [600] Speed: 1265.79 samples/sec accuracy=0.367812 top_k_accuracy_5=0.611406 | |
| Epoch[25] Batch [700] Speed: 1250.46 samples/sec accuracy=0.367969 top_k_accuracy_5=0.612461 | |
| Epoch[25] Batch [800] Speed: 1241.21 samples/sec accuracy=0.365352 top_k_accuracy_5=0.613398 | |
| Epoch[25] Batch [900] Speed: 1232.03 samples/sec accuracy=0.367734 top_k_accuracy_5=0.614375 | |
| Epoch[25] Batch [1000] Speed: 1228.20 samples/sec accuracy=0.364531 top_k_accuracy_5=0.612812 | |
| Epoch[25] Batch [1100] Speed: 1242.00 samples/sec accuracy=0.370664 top_k_accuracy_5=0.617188 | |
| Epoch[25] Batch [1200] Speed: 1256.46 samples/sec accuracy=0.371211 top_k_accuracy_5=0.612422 | |
| Epoch[25] Batch [1300] Speed: 1243.26 samples/sec accuracy=0.365156 top_k_accuracy_5=0.609062 | |
| Epoch[25] Batch [1400] Speed: 1223.24 samples/sec accuracy=0.365039 top_k_accuracy_5=0.614961 | |
| Epoch[25] Batch [1500] Speed: 1235.26 samples/sec accuracy=0.367383 top_k_accuracy_5=0.614297 | |
| Epoch[25] Batch [1600] Speed: 1242.99 samples/sec accuracy=0.359297 top_k_accuracy_5=0.609414 | |
| Epoch[25] Batch [1700] Speed: 1240.14 samples/sec accuracy=0.366367 top_k_accuracy_5=0.614414 | |
| Epoch[25] Batch [1800] Speed: 1235.83 samples/sec accuracy=0.366211 top_k_accuracy_5=0.613672 | |
| Epoch[25] Batch [1900] Speed: 1226.05 samples/sec accuracy=0.366250 top_k_accuracy_5=0.613281 | |
| Epoch[25] Batch [2000] Speed: 1227.53 samples/sec accuracy=0.368164 top_k_accuracy_5=0.612891 | |
| Epoch[25] Batch [2100] Speed: 1245.08 samples/sec accuracy=0.365625 top_k_accuracy_5=0.610859 | |
| Epoch[25] Batch [2200] Speed: 1249.65 samples/sec accuracy=0.365273 top_k_accuracy_5=0.609961 | |
| Epoch[25] Batch [2300] Speed: 1242.68 samples/sec accuracy=0.365273 top_k_accuracy_5=0.610039 | |
| Epoch[25] Batch [2400] Speed: 1235.37 samples/sec accuracy=0.363164 top_k_accuracy_5=0.608789 | |
| Epoch[25] Batch [2500] Speed: 1236.18 samples/sec accuracy=0.366992 top_k_accuracy_5=0.614492 | |
| Epoch[25] Batch [2600] Speed: 1247.75 samples/sec accuracy=0.364375 top_k_accuracy_5=0.610195 | |
| Epoch[25] Batch [2700] Speed: 1240.60 samples/sec accuracy=0.366602 top_k_accuracy_5=0.609102 | |
| Epoch[25] Batch [2800] Speed: 1237.79 samples/sec accuracy=0.372148 top_k_accuracy_5=0.613242 | |
| Epoch[25] Batch [2900] Speed: 1234.01 samples/sec accuracy=0.368750 top_k_accuracy_5=0.615820 | |
| Epoch[25] Batch [3000] Speed: 1232.03 samples/sec accuracy=0.363203 top_k_accuracy_5=0.607187 | |
| Epoch[25] Batch [3100] Speed: 1245.98 samples/sec accuracy=0.367812 top_k_accuracy_5=0.608437 | |
| Epoch[25] Batch [3200] Speed: 1245.05 samples/sec accuracy=0.370937 top_k_accuracy_5=0.617539 | |
| Epoch[25] Batch [3300] Speed: 1256.37 samples/sec accuracy=0.363555 top_k_accuracy_5=0.611172 | |
| Epoch[25] Batch [3400] Speed: 1223.89 samples/sec accuracy=0.369453 top_k_accuracy_5=0.615156 | |
| Epoch[25] Batch [3500] Speed: 1227.13 samples/sec accuracy=0.370352 top_k_accuracy_5=0.617070 | |
| Epoch[25] Batch [3600] Speed: 1244.56 samples/sec accuracy=0.359570 top_k_accuracy_5=0.607695 | |
| Epoch[25] Batch [3700] Speed: 1242.86 samples/sec accuracy=0.362109 top_k_accuracy_5=0.610273 | |
| Epoch[25] Batch [3800] Speed: 1247.65 samples/sec accuracy=0.371016 top_k_accuracy_5=0.615469 | |
| Epoch[25] Batch [3900] Speed: 1230.75 samples/sec accuracy=0.366250 top_k_accuracy_5=0.608437 | |
| Epoch[25] Batch [4000] Speed: 1229.73 samples/sec accuracy=0.373828 top_k_accuracy_5=0.617617 | |
| Epoch[25] Batch [4100] Speed: 1254.27 samples/sec accuracy=0.363398 top_k_accuracy_5=0.612187 | |
| Epoch[25] Batch [4200] Speed: 1243.33 samples/sec accuracy=0.367539 top_k_accuracy_5=0.611914 | |
| Epoch[25] Batch [4300] Speed: 1249.67 samples/sec accuracy=0.367188 top_k_accuracy_5=0.610703 | |
| Epoch[25] Batch [4400] Speed: 1228.89 samples/sec accuracy=0.370273 top_k_accuracy_5=0.615430 | |
| Epoch[25] Batch [4500] Speed: 1212.07 samples/sec accuracy=0.363750 top_k_accuracy_5=0.611992 | |
| Epoch[25] Batch [4600] Speed: 1220.17 samples/sec accuracy=0.365312 top_k_accuracy_5=0.614102 | |
| Epoch[25] Batch [4700] Speed: 1244.85 samples/sec accuracy=0.367812 top_k_accuracy_5=0.612344 | |
| Epoch[25] Batch [4800] Speed: 1257.34 samples/sec accuracy=0.372109 top_k_accuracy_5=0.615313 | |
| Epoch[25] Batch [4900] Speed: 1246.12 samples/sec accuracy=0.375820 top_k_accuracy_5=0.620859 | |
| Epoch[25] Batch [5000] Speed: 1233.39 samples/sec accuracy=0.368594 top_k_accuracy_5=0.613945 | |
| Epoch[25] Train-accuracy=0.388672 | |
| Epoch[25] Train-top_k_accuracy_5=0.612305 | |
| Epoch[25] Time cost=1033.560 | |
| Saved checkpoint to "model/resnet18-0026.params" | |
| Epoch[25] Validation-accuracy=0.378687 | |
| Epoch[25] Validation-top_k_accuracy_5=0.635244 | |
| Epoch[26] Batch [100] Speed: 1243.11 samples/sec accuracy=0.372486 top_k_accuracy_5=0.618889 | |
| Epoch[26] Batch [200] Speed: 1239.90 samples/sec accuracy=0.366563 top_k_accuracy_5=0.614375 | |
| Epoch[26] Batch [300] Speed: 1226.03 samples/sec accuracy=0.365195 top_k_accuracy_5=0.613633 | |
| Epoch[26] Batch [400] Speed: 1212.99 samples/sec accuracy=0.362930 top_k_accuracy_5=0.611250 | |
| Epoch[26] Batch [500] Speed: 1233.77 samples/sec accuracy=0.370977 top_k_accuracy_5=0.612656 | |
| Epoch[26] Batch [600] Speed: 1230.74 samples/sec accuracy=0.369336 top_k_accuracy_5=0.614375 | |
| Epoch[26] Batch [700] Speed: 1242.08 samples/sec accuracy=0.364219 top_k_accuracy_5=0.608828 | |
| Epoch[26] Batch [800] Speed: 1239.75 samples/sec accuracy=0.359844 top_k_accuracy_5=0.606641 | |
| Epoch[26] Batch [900] Speed: 1237.70 samples/sec accuracy=0.369375 top_k_accuracy_5=0.615586 | |
| Epoch[26] Batch [1000] Speed: 1229.70 samples/sec accuracy=0.365859 top_k_accuracy_5=0.613828 | |
| Epoch[26] Batch [1100] Speed: 1233.00 samples/sec accuracy=0.370000 top_k_accuracy_5=0.616016 | |
| Epoch[26] Batch [1200] Speed: 1254.59 samples/sec accuracy=0.369883 top_k_accuracy_5=0.614805 | |
| Epoch[26] Batch [1300] Speed: 1240.99 samples/sec accuracy=0.364883 top_k_accuracy_5=0.611953 | |
| Epoch[26] Batch [1400] Speed: 1228.52 samples/sec accuracy=0.364922 top_k_accuracy_5=0.613633 | |
| Epoch[26] Batch [1500] Speed: 1209.24 samples/sec accuracy=0.366992 top_k_accuracy_5=0.613984 | |
| Epoch[26] Batch [1600] Speed: 1233.27 samples/sec accuracy=0.363398 top_k_accuracy_5=0.609258 | |
| Epoch[26] Batch [1700] Speed: 1242.77 samples/sec accuracy=0.371445 top_k_accuracy_5=0.614062 | |
| Epoch[26] Batch [1800] Speed: 1238.20 samples/sec accuracy=0.363945 top_k_accuracy_5=0.614375 | |
| Epoch[26] Batch [1900] Speed: 1235.34 samples/sec accuracy=0.365625 top_k_accuracy_5=0.616406 | |
| Epoch[26] Batch [2000] Speed: 1235.28 samples/sec accuracy=0.366523 top_k_accuracy_5=0.612539 | |
| Epoch[26] Batch [2100] Speed: 1243.96 samples/sec accuracy=0.368750 top_k_accuracy_5=0.614102 | |
| Epoch[26] Batch [2200] Speed: 1234.77 samples/sec accuracy=0.366406 top_k_accuracy_5=0.610625 | |
| Epoch[26] Batch [2300] Speed: 1248.61 samples/sec accuracy=0.366172 top_k_accuracy_5=0.613594 | |
| Epoch[26] Batch [2400] Speed: 1226.10 samples/sec accuracy=0.363750 top_k_accuracy_5=0.607812 | |
| Epoch[26] Batch [2500] Speed: 1216.27 samples/sec accuracy=0.367539 top_k_accuracy_5=0.614375 | |
| Epoch[26] Batch [2600] Speed: 1233.51 samples/sec accuracy=0.364609 top_k_accuracy_5=0.614922 | |
| Epoch[26] Batch [2700] Speed: 1232.10 samples/sec accuracy=0.366719 top_k_accuracy_5=0.611406 | |
| Epoch[26] Batch [2800] Speed: 1238.08 samples/sec accuracy=0.367734 top_k_accuracy_5=0.615664 | |
| Epoch[26] Batch [2900] Speed: 1246.83 samples/sec accuracy=0.370234 top_k_accuracy_5=0.611719 | |
| Epoch[26] Batch [3000] Speed: 1226.30 samples/sec accuracy=0.365859 top_k_accuracy_5=0.612969 | |
| Epoch[26] Batch [3100] Speed: 1243.06 samples/sec accuracy=0.366211 top_k_accuracy_5=0.610430 | |
| Epoch[26] Batch [3200] Speed: 1233.42 samples/sec accuracy=0.368047 top_k_accuracy_5=0.617305 | |
| Epoch[26] Batch [3300] Speed: 1252.58 samples/sec accuracy=0.366797 top_k_accuracy_5=0.609219 | |
| Epoch[26] Batch [3400] Speed: 1241.31 samples/sec accuracy=0.365586 top_k_accuracy_5=0.612109 | |
| Epoch[26] Batch [3500] Speed: 1232.76 samples/sec accuracy=0.374805 top_k_accuracy_5=0.613125 | |
| Epoch[26] Batch [3600] Speed: 1254.18 samples/sec accuracy=0.361211 top_k_accuracy_5=0.616328 | |
| Epoch[26] Batch [3700] Speed: 1271.40 samples/sec accuracy=0.368008 top_k_accuracy_5=0.612031 | |
| Epoch[26] Batch [3800] Speed: 1251.52 samples/sec accuracy=0.368281 top_k_accuracy_5=0.612344 | |
| Epoch[26] Batch [3900] Speed: 1238.04 samples/sec accuracy=0.362031 top_k_accuracy_5=0.607969 | |
| Epoch[26] Batch [4000] Speed: 1240.37 samples/sec accuracy=0.372344 top_k_accuracy_5=0.619805 | |
| Epoch[26] Batch [4100] Speed: 1237.71 samples/sec accuracy=0.360938 top_k_accuracy_5=0.605352 | |
| Epoch[26] Batch [4200] Speed: 1246.12 samples/sec accuracy=0.365195 top_k_accuracy_5=0.610977 | |
| Epoch[26] Batch [4300] Speed: 1246.48 samples/sec accuracy=0.365000 top_k_accuracy_5=0.609297 | |
| Epoch[26] Batch [4400] Speed: 1257.61 samples/sec accuracy=0.371016 top_k_accuracy_5=0.616836 | |
| Epoch[26] Batch [4500] Speed: 1229.19 samples/sec accuracy=0.369922 top_k_accuracy_5=0.614570 | |
| Epoch[26] Batch [4600] Speed: 1232.43 samples/sec accuracy=0.365312 top_k_accuracy_5=0.611445 | |
| Epoch[26] Batch [4700] Speed: 1245.65 samples/sec accuracy=0.368359 top_k_accuracy_5=0.614492 | |
| Epoch[26] Batch [4800] Speed: 1258.62 samples/sec accuracy=0.364844 top_k_accuracy_5=0.608984 | |
| Epoch[26] Batch [4900] Speed: 1243.90 samples/sec accuracy=0.375273 top_k_accuracy_5=0.623242 | |
| Epoch[26] Batch [5000] Speed: 1236.69 samples/sec accuracy=0.367188 top_k_accuracy_5=0.613203 | |
| Epoch[26] Train-accuracy=0.366211 | |
| Epoch[26] Train-top_k_accuracy_5=0.607422 | |
| Epoch[26] Time cost=1034.983 | |
| Saved checkpoint to "model/resnet18-0027.params" | |
| Epoch[26] Validation-accuracy=0.362700 | |
| Epoch[26] Validation-top_k_accuracy_5=0.619852 | |
| Epoch[27] Batch [100] Speed: 1243.53 samples/sec accuracy=0.371094 top_k_accuracy_5=0.618116 | |
| Epoch[27] Batch [200] Speed: 1245.78 samples/sec accuracy=0.368945 top_k_accuracy_5=0.616719 | |
| Epoch[27] Batch [300] Speed: 1248.08 samples/sec accuracy=0.367539 top_k_accuracy_5=0.619180 | |
| Epoch[27] Batch [400] Speed: 1245.35 samples/sec accuracy=0.367812 top_k_accuracy_5=0.612969 | |
| Epoch[27] Batch [500] Speed: 1260.16 samples/sec accuracy=0.372266 top_k_accuracy_5=0.615117 | |
| Epoch[27] Batch [600] Speed: 1255.77 samples/sec accuracy=0.369531 top_k_accuracy_5=0.614258 | |
| Epoch[27] Batch [700] Speed: 1240.15 samples/sec accuracy=0.364414 top_k_accuracy_5=0.612578 | |
| Epoch[27] Batch [800] Speed: 1245.28 samples/sec accuracy=0.363906 top_k_accuracy_5=0.609961 | |
| Epoch[27] Batch [900] Speed: 1232.75 samples/sec accuracy=0.367500 top_k_accuracy_5=0.611055 | |
| Epoch[27] Batch [1000] Speed: 1247.37 samples/sec accuracy=0.363516 top_k_accuracy_5=0.613750 | |
| Epoch[27] Batch [1100] Speed: 1263.84 samples/sec accuracy=0.371758 top_k_accuracy_5=0.618047 | |
| Epoch[27] Batch [1200] Speed: 1277.56 samples/sec accuracy=0.370469 top_k_accuracy_5=0.614648 | |
| Epoch[27] Batch [1300] Speed: 1253.47 samples/sec accuracy=0.367578 top_k_accuracy_5=0.614453 | |
| Epoch[27] Batch [1400] Speed: 1245.77 samples/sec accuracy=0.365820 top_k_accuracy_5=0.609961 | |
| Epoch[27] Batch [1500] Speed: 1255.08 samples/sec accuracy=0.366875 top_k_accuracy_5=0.607812 | |
| Epoch[27] Batch [1600] Speed: 1257.96 samples/sec accuracy=0.365000 top_k_accuracy_5=0.613789 | |
| Epoch[27] Batch [1700] Speed: 1270.88 samples/sec accuracy=0.362500 top_k_accuracy_5=0.614180 | |
| Epoch[27] Batch [1800] Speed: 1253.98 samples/sec accuracy=0.369727 top_k_accuracy_5=0.617578 | |
| Epoch[27] Batch [1900] Speed: 1254.31 samples/sec accuracy=0.368594 top_k_accuracy_5=0.616133 | |
| Epoch[27] Batch [2000] Speed: 1261.19 samples/sec accuracy=0.364844 top_k_accuracy_5=0.612187 | |
| Epoch[27] Batch [2100] Speed: 1262.86 samples/sec accuracy=0.369180 top_k_accuracy_5=0.614844 | |
| Epoch[27] Batch [2200] Speed: 1261.60 samples/sec accuracy=0.364805 top_k_accuracy_5=0.609766 | |
| Epoch[27] Batch [2300] Speed: 1251.84 samples/sec accuracy=0.363594 top_k_accuracy_5=0.609258 | |
| Epoch[27] Batch [2400] Speed: 1242.27 samples/sec accuracy=0.368242 top_k_accuracy_5=0.613633 | |
| Epoch[27] Batch [2500] Speed: 1247.92 samples/sec accuracy=0.370586 top_k_accuracy_5=0.615039 | |
| Epoch[27] Batch [2600] Speed: 1261.80 samples/sec accuracy=0.361836 top_k_accuracy_5=0.612344 | |
| Epoch[27] Batch [2700] Speed: 1259.95 samples/sec accuracy=0.369141 top_k_accuracy_5=0.615586 | |
| Epoch[27] Batch [2800] Speed: 1255.48 samples/sec accuracy=0.370391 top_k_accuracy_5=0.617148 | |
| Epoch[27] Batch [2900] Speed: 1239.03 samples/sec accuracy=0.373359 top_k_accuracy_5=0.617969 | |
| Epoch[27] Batch [3000] Speed: 1255.24 samples/sec accuracy=0.360273 top_k_accuracy_5=0.607227 | |
| Epoch[27] Batch [3100] Speed: 1270.04 samples/sec accuracy=0.364766 top_k_accuracy_5=0.613633 | |
| Epoch[27] Batch [3200] Speed: 1256.17 samples/sec accuracy=0.370625 top_k_accuracy_5=0.618125 | |
| Epoch[27] Batch [3300] Speed: 1245.13 samples/sec accuracy=0.373437 top_k_accuracy_5=0.615508 | |
| Epoch[27] Batch [3400] Speed: 1245.51 samples/sec accuracy=0.369688 top_k_accuracy_5=0.612695 | |
| Epoch[27] Batch [3500] Speed: 1247.22 samples/sec accuracy=0.376133 top_k_accuracy_5=0.616289 | |
| Epoch[27] Batch [3600] Speed: 1250.07 samples/sec accuracy=0.362539 top_k_accuracy_5=0.612656 | |
| Epoch[27] Batch [3700] Speed: 1255.35 samples/sec accuracy=0.366250 top_k_accuracy_5=0.612812 | |
| Epoch[27] Batch [3800] Speed: 1249.08 samples/sec accuracy=0.369922 top_k_accuracy_5=0.613242 | |
| Epoch[27] Batch [3900] Speed: 1245.48 samples/sec accuracy=0.370859 top_k_accuracy_5=0.613437 | |
| Epoch[27] Batch [4000] Speed: 1228.74 samples/sec accuracy=0.372539 top_k_accuracy_5=0.613711 | |
| Epoch[27] Batch [4100] Speed: 1263.89 samples/sec accuracy=0.363359 top_k_accuracy_5=0.613047 | |
| Epoch[27] Batch [4200] Speed: 1264.54 samples/sec accuracy=0.369766 top_k_accuracy_5=0.611836 | |
| Epoch[27] Batch [4300] Speed: 1256.54 samples/sec accuracy=0.370156 top_k_accuracy_5=0.617305 | |
| Epoch[27] Batch [4400] Speed: 1246.69 samples/sec accuracy=0.368672 top_k_accuracy_5=0.616094 | |
| Epoch[27] Batch [4500] Speed: 1238.99 samples/sec accuracy=0.372344 top_k_accuracy_5=0.615859 | |
| Epoch[27] Batch [4600] Speed: 1243.04 samples/sec accuracy=0.366367 top_k_accuracy_5=0.615977 | |
| Epoch[27] Batch [4700] Speed: 1257.73 samples/sec accuracy=0.361602 top_k_accuracy_5=0.611953 | |
| Epoch[27] Batch [4800] Speed: 1246.49 samples/sec accuracy=0.364414 top_k_accuracy_5=0.610586 | |
| Epoch[27] Batch [4900] Speed: 1243.22 samples/sec accuracy=0.371172 top_k_accuracy_5=0.616445 | |
| Epoch[27] Batch [5000] Speed: 1227.90 samples/sec accuracy=0.365977 top_k_accuracy_5=0.616055 | |
| Epoch[27] Train-accuracy=0.367188 | |
| Epoch[27] Train-top_k_accuracy_5=0.597656 | |
| Epoch[27] Time cost=1023.980 | |
| Saved checkpoint to "model/resnet18-0028.params" | |
| Epoch[27] Validation-accuracy=0.366426 | |
| Epoch[27] Validation-top_k_accuracy_5=0.622636 | |
| Epoch[28] Batch [100] Speed: 1256.01 samples/sec accuracy=0.369199 top_k_accuracy_5=0.614635 | |
| Epoch[28] Batch [200] Speed: 1261.73 samples/sec accuracy=0.370703 top_k_accuracy_5=0.619727 | |
| Epoch[28] Batch [300] Speed: 1251.81 samples/sec accuracy=0.367656 top_k_accuracy_5=0.617422 | |
| Epoch[28] Batch [400] Speed: 1243.17 samples/sec accuracy=0.370000 top_k_accuracy_5=0.616406 | |
| Epoch[28] Batch [500] Speed: 1239.03 samples/sec accuracy=0.372266 top_k_accuracy_5=0.615352 | |
| Epoch[28] Batch [600] Speed: 1249.23 samples/sec accuracy=0.370156 top_k_accuracy_5=0.616250 | |
| Epoch[28] Batch [700] Speed: 1265.26 samples/sec accuracy=0.363672 top_k_accuracy_5=0.610156 | |
| Epoch[28] Batch [800] Speed: 1251.01 samples/sec accuracy=0.363633 top_k_accuracy_5=0.609883 | |
| Epoch[28] Batch [900] Speed: 1240.84 samples/sec accuracy=0.363359 top_k_accuracy_5=0.611094 | |
| Epoch[28] Batch [1000] Speed: 1235.75 samples/sec accuracy=0.364414 top_k_accuracy_5=0.610391 | |
| Epoch[28] Batch [1100] Speed: 1260.23 samples/sec accuracy=0.373789 top_k_accuracy_5=0.616172 | |
| Epoch[28] Batch [1200] Speed: 1273.98 samples/sec accuracy=0.368633 top_k_accuracy_5=0.616758 | |
| Epoch[28] Batch [1300] Speed: 1259.33 samples/sec accuracy=0.370625 top_k_accuracy_5=0.618594 | |
| Epoch[28] Batch [1400] Speed: 1236.74 samples/sec accuracy=0.368125 top_k_accuracy_5=0.614453 | |
| Epoch[28] Batch [1500] Speed: 1235.03 samples/sec accuracy=0.368711 top_k_accuracy_5=0.616836 | |
| Epoch[28] Batch [1600] Speed: 1243.93 samples/sec accuracy=0.366211 top_k_accuracy_5=0.610430 | |
| Epoch[28] Batch [1700] Speed: 1258.91 samples/sec accuracy=0.368633 top_k_accuracy_5=0.615859 | |
| Epoch[28] Batch [1800] Speed: 1255.58 samples/sec accuracy=0.367852 top_k_accuracy_5=0.612695 | |
| Epoch[28] Batch [1900] Speed: 1240.66 samples/sec accuracy=0.369648 top_k_accuracy_5=0.612930 | |
| Epoch[28] Batch [2000] Speed: 1227.04 samples/sec accuracy=0.371719 top_k_accuracy_5=0.612891 | |
| Epoch[28] Batch [2100] Speed: 1234.45 samples/sec accuracy=0.362891 top_k_accuracy_5=0.606797 | |
| Epoch[28] Batch [2200] Speed: 1255.58 samples/sec accuracy=0.368320 top_k_accuracy_5=0.611211 | |
| Epoch[28] Batch [2300] Speed: 1265.58 samples/sec accuracy=0.363438 top_k_accuracy_5=0.610938 | |
| Epoch[28] Batch [2400] Speed: 1252.11 samples/sec accuracy=0.366289 top_k_accuracy_5=0.609688 | |
| Epoch[28] Batch [2500] Speed: 1237.98 samples/sec accuracy=0.369492 top_k_accuracy_5=0.614336 | |
| Epoch[28] Batch [2600] Speed: 1242.84 samples/sec accuracy=0.369609 top_k_accuracy_5=0.614844 | |
| Epoch[28] Batch [2700] Speed: 1253.37 samples/sec accuracy=0.368281 top_k_accuracy_5=0.615469 | |
| Epoch[28] Batch [2800] Speed: 1266.13 samples/sec accuracy=0.368320 top_k_accuracy_5=0.616523 | |
| Epoch[28] Batch [2900] Speed: 1248.28 samples/sec accuracy=0.371484 top_k_accuracy_5=0.615469 | |
| Epoch[28] Batch [3000] Speed: 1243.99 samples/sec accuracy=0.363828 top_k_accuracy_5=0.611680 | |
| Epoch[28] Batch [3100] Speed: 1232.04 samples/sec accuracy=0.366875 top_k_accuracy_5=0.611641 | |
| Epoch[28] Batch [3200] Speed: 1247.64 samples/sec accuracy=0.372656 top_k_accuracy_5=0.617344 | |
| Epoch[28] Batch [3300] Speed: 1252.84 samples/sec accuracy=0.369375 top_k_accuracy_5=0.615977 | |
| Epoch[28] Batch [3400] Speed: 1242.08 samples/sec accuracy=0.370430 top_k_accuracy_5=0.618672 | |
| Epoch[28] Batch [3500] Speed: 1233.83 samples/sec accuracy=0.374727 top_k_accuracy_5=0.618125 | |
| Epoch[28] Batch [3600] Speed: 1234.78 samples/sec accuracy=0.365156 top_k_accuracy_5=0.615391 | |
| Epoch[28] Batch [3700] Speed: 1255.43 samples/sec accuracy=0.363555 top_k_accuracy_5=0.613359 | |
| Epoch[28] Batch [3800] Speed: 1239.39 samples/sec accuracy=0.369492 top_k_accuracy_5=0.618906 | |
| Epoch[28] Batch [3900] Speed: 1239.67 samples/sec accuracy=0.364961 top_k_accuracy_5=0.611445 | |
| Epoch[28] Batch [4000] Speed: 1241.49 samples/sec accuracy=0.374492 top_k_accuracy_5=0.618867 | |
| Epoch[28] Batch [4100] Speed: 1247.91 samples/sec accuracy=0.367422 top_k_accuracy_5=0.617344 | |
| Epoch[28] Batch [4200] Speed: 1253.94 samples/sec accuracy=0.371445 top_k_accuracy_5=0.616563 | |
| Epoch[28] Batch [4300] Speed: 1237.49 samples/sec accuracy=0.364141 top_k_accuracy_5=0.613945 | |
| Epoch[28] Batch [4400] Speed: 1259.33 samples/sec accuracy=0.373711 top_k_accuracy_5=0.616445 | |
| Epoch[28] Batch [4500] Speed: 1230.50 samples/sec accuracy=0.371680 top_k_accuracy_5=0.617852 | |
| Epoch[28] Batch [4600] Speed: 1227.63 samples/sec accuracy=0.365664 top_k_accuracy_5=0.617891 | |
| Epoch[28] Batch [4700] Speed: 1246.22 samples/sec accuracy=0.367695 top_k_accuracy_5=0.612539 | |
| Epoch[28] Batch [4800] Speed: 1234.13 samples/sec accuracy=0.362148 top_k_accuracy_5=0.611016 | |
| Epoch[28] Batch [4900] Speed: 1253.77 samples/sec accuracy=0.368789 top_k_accuracy_5=0.619062 | |
| Epoch[28] Batch [5000] Speed: 1240.21 samples/sec accuracy=0.368477 top_k_accuracy_5=0.616367 | |
| Epoch[28] Train-accuracy=0.367188 | |
| Epoch[28] Train-top_k_accuracy_5=0.599609 | |
| Epoch[28] Time cost=1028.291 | |
| Saved checkpoint to "model/resnet18-0029.params" | |
| Epoch[28] Validation-accuracy=0.363560 | |
| Epoch[28] Validation-top_k_accuracy_5=0.618603 | |
| Epoch[29] Batch [100] Speed: 1239.34 samples/sec accuracy=0.366530 top_k_accuracy_5=0.615486 | |
| Epoch[29] Batch [200] Speed: 1249.22 samples/sec accuracy=0.366914 top_k_accuracy_5=0.613281 | |
| Epoch[29] Batch [300] Speed: 1235.94 samples/sec accuracy=0.368008 top_k_accuracy_5=0.618984 | |
| Epoch[29] Batch [400] Speed: 1250.59 samples/sec accuracy=0.368242 top_k_accuracy_5=0.617500 | |
| Epoch[29] Batch [500] Speed: 1246.65 samples/sec accuracy=0.369141 top_k_accuracy_5=0.616094 | |
| Epoch[29] Batch [600] Speed: 1262.07 samples/sec accuracy=0.365234 top_k_accuracy_5=0.611992 | |
| Epoch[29] Batch [700] Speed: 1249.29 samples/sec accuracy=0.367656 top_k_accuracy_5=0.615273 | |
| Epoch[29] Batch [800] Speed: 1245.69 samples/sec accuracy=0.364063 top_k_accuracy_5=0.609258 | |
| Epoch[29] Batch [900] Speed: 1235.67 samples/sec accuracy=0.371914 top_k_accuracy_5=0.620273 | |
| Epoch[29] Batch [1000] Speed: 1240.22 samples/sec accuracy=0.366367 top_k_accuracy_5=0.616055 | |
| Epoch[29] Batch [1100] Speed: 1249.67 samples/sec accuracy=0.370352 top_k_accuracy_5=0.616289 | |
| Epoch[29] Batch [1200] Speed: 1245.57 samples/sec accuracy=0.366758 top_k_accuracy_5=0.613281 | |
| Epoch[29] Batch [1300] Speed: 1240.06 samples/sec accuracy=0.365117 top_k_accuracy_5=0.615391 | |
| Epoch[29] Batch [1400] Speed: 1236.17 samples/sec accuracy=0.365977 top_k_accuracy_5=0.616172 | |
| Epoch[29] Batch [1500] Speed: 1235.43 samples/sec accuracy=0.369844 top_k_accuracy_5=0.614180 | |
| Epoch[29] Batch [1600] Speed: 1253.84 samples/sec accuracy=0.366211 top_k_accuracy_5=0.615352 | |
| Epoch[29] Batch [1700] Speed: 1243.66 samples/sec accuracy=0.371289 top_k_accuracy_5=0.619258 | |
| Epoch[29] Batch [1800] Speed: 1245.20 samples/sec accuracy=0.366172 top_k_accuracy_5=0.613906 | |
| Epoch[29] Batch [1900] Speed: 1242.98 samples/sec accuracy=0.367148 top_k_accuracy_5=0.614688 | |
| Epoch[29] Batch [2000] Speed: 1258.18 samples/sec accuracy=0.368086 top_k_accuracy_5=0.614414 | |
| Epoch[29] Batch [2100] Speed: 1251.77 samples/sec accuracy=0.367266 top_k_accuracy_5=0.611875 | |
| Epoch[29] Batch [2200] Speed: 1254.30 samples/sec accuracy=0.365938 top_k_accuracy_5=0.613594 | |
| Epoch[29] Batch [2300] Speed: 1265.48 samples/sec accuracy=0.360742 top_k_accuracy_5=0.612617 | |
| Epoch[29] Batch [2400] Speed: 1261.40 samples/sec accuracy=0.364844 top_k_accuracy_5=0.613437 | |
| Epoch[29] Batch [2500] Speed: 1259.63 samples/sec accuracy=0.364922 top_k_accuracy_5=0.613633 | |
| Epoch[29] Batch [2600] Speed: 1253.76 samples/sec accuracy=0.368867 top_k_accuracy_5=0.612266 | |
| Epoch[29] Batch [2700] Speed: 1263.76 samples/sec accuracy=0.370703 top_k_accuracy_5=0.620234 | |
| Epoch[29] Batch [2800] Speed: 1251.96 samples/sec accuracy=0.372344 top_k_accuracy_5=0.615664 | |
| Epoch[29] Batch [2900] Speed: 1260.19 samples/sec accuracy=0.368828 top_k_accuracy_5=0.615195 | |
| Epoch[29] Batch [3000] Speed: 1245.80 samples/sec accuracy=0.359805 top_k_accuracy_5=0.610156 | |
| Epoch[29] Batch [3100] Speed: 1247.02 samples/sec accuracy=0.364102 top_k_accuracy_5=0.613711 | |
| Epoch[29] Batch [3200] Speed: 1239.34 samples/sec accuracy=0.372500 top_k_accuracy_5=0.619961 | |
| Epoch[29] Batch [3300] Speed: 1227.53 samples/sec accuracy=0.367656 top_k_accuracy_5=0.613672 | |
| Epoch[29] Batch [3400] Speed: 1237.90 samples/sec accuracy=0.367305 top_k_accuracy_5=0.612930 | |
| Epoch[29] Batch [3500] Speed: 1234.31 samples/sec accuracy=0.374219 top_k_accuracy_5=0.617500 | |
| Epoch[29] Batch [3600] Speed: 1231.24 samples/sec accuracy=0.363047 top_k_accuracy_5=0.615508 | |
| Epoch[29] Batch [3700] Speed: 1236.10 samples/sec accuracy=0.367422 top_k_accuracy_5=0.613008 | |
| Epoch[29] Batch [3800] Speed: 1229.78 samples/sec accuracy=0.372461 top_k_accuracy_5=0.620391 | |
| Epoch[29] Batch [3900] Speed: 1224.08 samples/sec accuracy=0.365977 top_k_accuracy_5=0.611289 | |
| Epoch[29] Batch [4000] Speed: 1230.81 samples/sec accuracy=0.369844 top_k_accuracy_5=0.621289 | |
| Epoch[29] Batch [4100] Speed: 1228.19 samples/sec accuracy=0.369648 top_k_accuracy_5=0.614531 | |
| Epoch[29] Batch [4200] Speed: 1227.27 samples/sec accuracy=0.371016 top_k_accuracy_5=0.620117 | |
| Epoch[29] Batch [4300] Speed: 1229.32 samples/sec accuracy=0.364375 top_k_accuracy_5=0.612852 | |
| Epoch[29] Batch [4400] Speed: 1229.28 samples/sec accuracy=0.369727 top_k_accuracy_5=0.616875 | |
| Epoch[29] Batch [4500] Speed: 1230.64 samples/sec accuracy=0.371602 top_k_accuracy_5=0.615469 | |
| Epoch[29] Batch [4600] Speed: 1238.24 samples/sec accuracy=0.365039 top_k_accuracy_5=0.613906 | |
| Epoch[29] Batch [4700] Speed: 1236.01 samples/sec accuracy=0.371016 top_k_accuracy_5=0.617539 | |
| Epoch[29] Batch [4800] Speed: 1237.35 samples/sec accuracy=0.367656 top_k_accuracy_5=0.612852 | |
| Epoch[29] Batch [4900] Speed: 1231.96 samples/sec accuracy=0.375820 top_k_accuracy_5=0.622266 | |
| Update[150121]: Change learning rate to 1.00000e-02 | |
| Epoch[29] Batch [5000] Speed: 1239.65 samples/sec accuracy=0.365273 top_k_accuracy_5=0.613711 | |
| Epoch[29] Train-accuracy=0.335938 | |
| Epoch[29] Train-top_k_accuracy_5=0.580729 | |
| Epoch[29] Time cost=1031.211 | |
| Saved checkpoint to "model/resnet18-0030.params" | |
| Epoch[29] Validation-accuracy=0.373818 | |
| Epoch[29] Validation-top_k_accuracy_5=0.632792 | |
| Epoch[30] Batch [100] Speed: 1263.26 samples/sec accuracy=0.390045 top_k_accuracy_5=0.631381 | |
| Epoch[30] Batch [200] Speed: 1248.57 samples/sec accuracy=0.415469 top_k_accuracy_5=0.659883 | |
| Epoch[30] Batch [300] Speed: 1246.57 samples/sec accuracy=0.432773 top_k_accuracy_5=0.673242 | |
| Epoch[30] Batch [400] Speed: 1251.05 samples/sec accuracy=0.433047 top_k_accuracy_5=0.674805 | |
| Epoch[30] Batch [500] Speed: 1247.76 samples/sec accuracy=0.438945 top_k_accuracy_5=0.682461 | |
| Epoch[30] Batch [600] Speed: 1235.27 samples/sec accuracy=0.440508 top_k_accuracy_5=0.679375 | |
| Epoch[30] Batch [700] Speed: 1230.91 samples/sec accuracy=0.440586 top_k_accuracy_5=0.679023 | |
| Epoch[30] Batch [800] Speed: 1244.55 samples/sec accuracy=0.437305 top_k_accuracy_5=0.680742 | |
| Epoch[30] Batch [900] Speed: 1224.07 samples/sec accuracy=0.448516 top_k_accuracy_5=0.684180 | |
| Epoch[30] Batch [1000] Speed: 1235.41 samples/sec accuracy=0.447813 top_k_accuracy_5=0.689180 | |
| Epoch[30] Batch [1100] Speed: 1217.13 samples/sec accuracy=0.452656 top_k_accuracy_5=0.692578 | |
| Epoch[30] Batch [1200] Speed: 1227.98 samples/sec accuracy=0.451562 top_k_accuracy_5=0.696016 | |
| Epoch[30] Batch [1300] Speed: 1225.29 samples/sec accuracy=0.448047 top_k_accuracy_5=0.689063 | |
| Epoch[30] Batch [1400] Speed: 1236.99 samples/sec accuracy=0.456602 top_k_accuracy_5=0.693086 | |
| Epoch[30] Batch [1500] Speed: 1235.80 samples/sec accuracy=0.448203 top_k_accuracy_5=0.693047 | |
| Epoch[30] Batch [1600] Speed: 1230.97 samples/sec accuracy=0.450547 top_k_accuracy_5=0.691406 | |
| Epoch[30] Batch [1700] Speed: 1232.22 samples/sec accuracy=0.461523 top_k_accuracy_5=0.700234 | |
| Epoch[30] Batch [1800] Speed: 1231.76 samples/sec accuracy=0.450820 top_k_accuracy_5=0.693789 | |
| Epoch[30] Batch [1900] Speed: 1231.93 samples/sec accuracy=0.459688 top_k_accuracy_5=0.696523 | |
| Epoch[30] Batch [2000] Speed: 1237.65 samples/sec accuracy=0.462969 top_k_accuracy_5=0.702578 | |
| Epoch[30] Batch [2100] Speed: 1231.67 samples/sec accuracy=0.457930 top_k_accuracy_5=0.695039 | |
| Epoch[30] Batch [2200] Speed: 1228.17 samples/sec accuracy=0.461953 top_k_accuracy_5=0.700117 | |
| Epoch[30] Batch [2300] Speed: 1234.38 samples/sec accuracy=0.456211 top_k_accuracy_5=0.699297 | |
| Epoch[30] Batch [2400] Speed: 1237.95 samples/sec accuracy=0.465117 top_k_accuracy_5=0.702617 | |
| Epoch[30] Batch [2500] Speed: 1224.46 samples/sec accuracy=0.466758 top_k_accuracy_5=0.703672 | |
| Epoch[30] Batch [2600] Speed: 1225.77 samples/sec accuracy=0.467617 top_k_accuracy_5=0.705313 | |
| Epoch[30] Batch [2700] Speed: 1216.06 samples/sec accuracy=0.466680 top_k_accuracy_5=0.702656 | |
| Epoch[30] Batch [2800] Speed: 1229.36 samples/sec accuracy=0.466758 top_k_accuracy_5=0.702500 | |
| Epoch[30] Batch [2900] Speed: 1235.10 samples/sec accuracy=0.470898 top_k_accuracy_5=0.704258 | |
| Epoch[30] Batch [3000] Speed: 1226.48 samples/sec accuracy=0.457461 top_k_accuracy_5=0.699023 | |
| Epoch[30] Batch [3100] Speed: 1240.32 samples/sec accuracy=0.469609 top_k_accuracy_5=0.706367 | |
| Epoch[30] Batch [3200] Speed: 1223.98 samples/sec accuracy=0.473398 top_k_accuracy_5=0.712187 | |
| Epoch[30] Batch [3300] Speed: 1228.41 samples/sec accuracy=0.473945 top_k_accuracy_5=0.711094 | |
| Epoch[30] Batch [3400] Speed: 1235.80 samples/sec accuracy=0.471758 top_k_accuracy_5=0.707578 | |
| Epoch[30] Batch [3500] Speed: 1232.21 samples/sec accuracy=0.473438 top_k_accuracy_5=0.709531 | |
| Epoch[30] Batch [3600] Speed: 1228.57 samples/sec accuracy=0.473242 top_k_accuracy_5=0.709141 | |
| Epoch[30] Batch [3700] Speed: 1227.70 samples/sec accuracy=0.468398 top_k_accuracy_5=0.708750 | |
| Epoch[30] Batch [3800] Speed: 1225.12 samples/sec accuracy=0.479297 top_k_accuracy_5=0.715625 | |
| Epoch[30] Batch [3900] Speed: 1215.29 samples/sec accuracy=0.473867 top_k_accuracy_5=0.708633 | |
| Epoch[30] Batch [4000] Speed: 1228.97 samples/sec accuracy=0.478516 top_k_accuracy_5=0.721055 | |
| Epoch[30] Batch [4100] Speed: 1230.50 samples/sec accuracy=0.477461 top_k_accuracy_5=0.715156 | |
| Epoch[30] Batch [4200] Speed: 1216.18 samples/sec accuracy=0.478477 top_k_accuracy_5=0.714375 | |
| Epoch[30] Batch [4300] Speed: 1220.82 samples/sec accuracy=0.478555 top_k_accuracy_5=0.714258 | |
| Epoch[30] Batch [4400] Speed: 1218.02 samples/sec accuracy=0.482617 top_k_accuracy_5=0.721172 | |
| Epoch[30] Batch [4500] Speed: 1221.35 samples/sec accuracy=0.482539 top_k_accuracy_5=0.722070 | |
| Epoch[30] Batch [4600] Speed: 1224.07 samples/sec accuracy=0.482773 top_k_accuracy_5=0.715547 | |
| Epoch[30] Batch [4700] Speed: 1221.35 samples/sec accuracy=0.483203 top_k_accuracy_5=0.722695 | |
| Epoch[30] Batch [4800] Speed: 1241.38 samples/sec accuracy=0.481602 top_k_accuracy_5=0.721523 | |
| Epoch[30] Batch [4900] Speed: 1224.25 samples/sec accuracy=0.490625 top_k_accuracy_5=0.727383 | |
| Epoch[30] Batch [5000] Speed: 1223.88 samples/sec accuracy=0.484922 top_k_accuracy_5=0.721250 | |
| Epoch[30] Train-accuracy=0.461914 | |
| Epoch[30] Train-top_k_accuracy_5=0.678711 | |
| Epoch[30] Time cost=1041.188 | |
| Saved checkpoint to "model/resnet18-0031.params" | |
| Epoch[30] Validation-accuracy=0.495292 | |
| Epoch[30] Validation-top_k_accuracy_5=0.737921 | |
| Epoch[31] Batch [100] Speed: 1232.13 samples/sec accuracy=0.481358 top_k_accuracy_5=0.718247 | |
| Epoch[31] Batch [200] Speed: 1224.21 samples/sec accuracy=0.468242 top_k_accuracy_5=0.710391 | |
| Epoch[31] Batch [300] Speed: 1227.89 samples/sec accuracy=0.473203 top_k_accuracy_5=0.715313 | |
| Epoch[31] Batch [400] Speed: 1236.79 samples/sec accuracy=0.466445 top_k_accuracy_5=0.705508 | |
| Epoch[31] Batch [500] Speed: 1227.08 samples/sec accuracy=0.476875 top_k_accuracy_5=0.715508 | |
| Epoch[31] Batch [600] Speed: 1228.52 samples/sec accuracy=0.478750 top_k_accuracy_5=0.713750 | |
| Epoch[31] Batch [700] Speed: 1233.31 samples/sec accuracy=0.477187 top_k_accuracy_5=0.713711 | |
| Epoch[31] Batch [800] Speed: 1220.12 samples/sec accuracy=0.470820 top_k_accuracy_5=0.707187 | |
| Epoch[31] Batch [900] Speed: 1220.88 samples/sec accuracy=0.477305 top_k_accuracy_5=0.714180 | |
| Epoch[31] Batch [1000] Speed: 1221.74 samples/sec accuracy=0.478906 top_k_accuracy_5=0.719375 | |
| Epoch[31] Batch [1100] Speed: 1222.93 samples/sec accuracy=0.481328 top_k_accuracy_5=0.716836 | |
| Epoch[31] Batch [1200] Speed: 1225.46 samples/sec accuracy=0.480312 top_k_accuracy_5=0.717305 | |
| Epoch[31] Batch [1300] Speed: 1218.99 samples/sec accuracy=0.478320 top_k_accuracy_5=0.716953 | |
| Epoch[31] Batch [1400] Speed: 1220.16 samples/sec accuracy=0.484180 top_k_accuracy_5=0.718125 | |
| Epoch[31] Batch [1500] Speed: 1223.32 samples/sec accuracy=0.482578 top_k_accuracy_5=0.715234 | |
| Epoch[31] Batch [1600] Speed: 1231.74 samples/sec accuracy=0.476289 top_k_accuracy_5=0.715273 | |
| Epoch[31] Batch [1700] Speed: 1226.57 samples/sec accuracy=0.475703 top_k_accuracy_5=0.714844 | |
| Epoch[31] Batch [1800] Speed: 1219.67 samples/sec accuracy=0.485312 top_k_accuracy_5=0.720508 | |
| Epoch[31] Batch [1900] Speed: 1229.17 samples/sec accuracy=0.478242 top_k_accuracy_5=0.718242 | |
| Epoch[31] Batch [2000] Speed: 1221.86 samples/sec accuracy=0.484805 top_k_accuracy_5=0.719844 | |
| Epoch[31] Batch [2100] Speed: 1224.44 samples/sec accuracy=0.478320 top_k_accuracy_5=0.717344 | |
| Epoch[31] Batch [2200] Speed: 1221.29 samples/sec accuracy=0.482734 top_k_accuracy_5=0.717617 | |
| Epoch[31] Batch [2300] Speed: 1205.40 samples/sec accuracy=0.477344 top_k_accuracy_5=0.717187 | |
| Epoch[31] Batch [2400] Speed: 1229.36 samples/sec accuracy=0.478945 top_k_accuracy_5=0.714727 | |
| Epoch[31] Batch [2500] Speed: 1233.66 samples/sec accuracy=0.483828 top_k_accuracy_5=0.720195 | |
| Epoch[31] Batch [2600] Speed: 1217.13 samples/sec accuracy=0.481328 top_k_accuracy_5=0.718828 | |
| Epoch[31] Batch [2700] Speed: 1221.86 samples/sec accuracy=0.483125 top_k_accuracy_5=0.718750 | |
| Epoch[31] Batch [2800] Speed: 1224.37 samples/sec accuracy=0.486016 top_k_accuracy_5=0.725273 | |
| Epoch[31] Batch [2900] Speed: 1224.67 samples/sec accuracy=0.488047 top_k_accuracy_5=0.722109 | |
| Epoch[31] Batch [3000] Speed: 1214.77 samples/sec accuracy=0.483320 top_k_accuracy_5=0.720508 | |
| Epoch[31] Batch [3100] Speed: 1221.02 samples/sec accuracy=0.484414 top_k_accuracy_5=0.718672 | |
| Epoch[31] Batch [3200] Speed: 1216.55 samples/sec accuracy=0.488711 top_k_accuracy_5=0.727578 | |
| Epoch[31] Batch [3300] Speed: 1217.31 samples/sec accuracy=0.486875 top_k_accuracy_5=0.721719 | |
| Epoch[31] Batch [3400] Speed: 1218.58 samples/sec accuracy=0.487422 top_k_accuracy_5=0.724531 | |
| Epoch[31] Batch [3500] Speed: 1208.32 samples/sec accuracy=0.491641 top_k_accuracy_5=0.724336 | |
| Epoch[31] Batch [3600] Speed: 1220.45 samples/sec accuracy=0.489375 top_k_accuracy_5=0.728320 | |
| Epoch[31] Batch [3700] Speed: 1215.03 samples/sec accuracy=0.490039 top_k_accuracy_5=0.725391 | |
| Epoch[31] Batch [3800] Speed: 1214.60 samples/sec accuracy=0.490391 top_k_accuracy_5=0.726289 | |
| Epoch[31] Batch [3900] Speed: 1222.20 samples/sec accuracy=0.488789 top_k_accuracy_5=0.722734 | |
| Epoch[31] Batch [4000] Speed: 1238.61 samples/sec accuracy=0.494141 top_k_accuracy_5=0.730625 | |
| Epoch[31] Batch [4100] Speed: 1225.99 samples/sec accuracy=0.488945 top_k_accuracy_5=0.726914 | |
| Epoch[31] Batch [4200] Speed: 1222.20 samples/sec accuracy=0.490117 top_k_accuracy_5=0.727070 | |
| Epoch[31] Batch [4300] Speed: 1217.07 samples/sec accuracy=0.486914 top_k_accuracy_5=0.721836 | |
| Epoch[31] Batch [4400] Speed: 1215.50 samples/sec accuracy=0.492188 top_k_accuracy_5=0.731367 | |
| Epoch[31] Batch [4500] Speed: 1221.48 samples/sec accuracy=0.495000 top_k_accuracy_5=0.728750 | |
| Epoch[31] Batch [4600] Speed: 1220.32 samples/sec accuracy=0.491289 top_k_accuracy_5=0.727148 | |
| Epoch[31] Batch [4700] Speed: 1231.59 samples/sec accuracy=0.493437 top_k_accuracy_5=0.729727 | |
| Epoch[31] Batch [4800] Speed: 1216.12 samples/sec accuracy=0.496250 top_k_accuracy_5=0.731719 | |
| Epoch[31] Batch [4900] Speed: 1231.47 samples/sec accuracy=0.502188 top_k_accuracy_5=0.733984 | |
| Epoch[31] Batch [5000] Speed: 1228.69 samples/sec accuracy=0.494336 top_k_accuracy_5=0.729297 | |
| Epoch[31] Train-accuracy=0.442708 | |
| Epoch[31] Train-top_k_accuracy_5=0.699219 | |
| Epoch[31] Time cost=1047.712 | |
| Saved checkpoint to "model/resnet18-0032.params" | |
| Epoch[31] Validation-accuracy=0.505769 | |
| Epoch[31] Validation-top_k_accuracy_5=0.746474 | |
| Epoch[32] Batch [100] Speed: 1208.86 samples/sec accuracy=0.492497 top_k_accuracy_5=0.727413 | |
| Epoch[32] Batch [200] Speed: 1210.51 samples/sec accuracy=0.486367 top_k_accuracy_5=0.719492 | |
| Epoch[32] Batch [300] Speed: 1217.49 samples/sec accuracy=0.489180 top_k_accuracy_5=0.726016 | |
| Epoch[32] Batch [400] Speed: 1204.90 samples/sec accuracy=0.483828 top_k_accuracy_5=0.726445 | |
| Epoch[32] Batch [500] Speed: 1220.68 samples/sec accuracy=0.489414 top_k_accuracy_5=0.727578 | |
| Epoch[32] Batch [600] Speed: 1219.40 samples/sec accuracy=0.493984 top_k_accuracy_5=0.727109 | |
| Epoch[32] Batch [700] Speed: 1222.53 samples/sec accuracy=0.488008 top_k_accuracy_5=0.721172 | |
| Epoch[32] Batch [800] Speed: 1226.83 samples/sec accuracy=0.488906 top_k_accuracy_5=0.719102 | |
| Epoch[32] Batch [900] Speed: 1222.17 samples/sec accuracy=0.488086 top_k_accuracy_5=0.723867 | |
| Epoch[32] Batch [1000] Speed: 1230.13 samples/sec accuracy=0.486563 top_k_accuracy_5=0.725938 | |
| Epoch[32] Batch [1100] Speed: 1236.96 samples/sec accuracy=0.493320 top_k_accuracy_5=0.725977 | |
| Epoch[32] Batch [1200] Speed: 1229.76 samples/sec accuracy=0.494414 top_k_accuracy_5=0.727344 | |
| Epoch[32] Batch [1300] Speed: 1211.49 samples/sec accuracy=0.490391 top_k_accuracy_5=0.725313 | |
| Epoch[32] Batch [1400] Speed: 1228.27 samples/sec accuracy=0.491094 top_k_accuracy_5=0.729805 | |
| Epoch[32] Batch [1500] Speed: 1220.91 samples/sec accuracy=0.492031 top_k_accuracy_5=0.722656 | |
| Epoch[32] Batch [1600] Speed: 1226.18 samples/sec accuracy=0.485469 top_k_accuracy_5=0.724219 | |
| Epoch[32] Batch [1700] Speed: 1236.50 samples/sec accuracy=0.493594 top_k_accuracy_5=0.727266 | |
| Epoch[32] Batch [1800] Speed: 1225.17 samples/sec accuracy=0.485781 top_k_accuracy_5=0.724414 | |
| Epoch[32] Batch [1900] Speed: 1219.38 samples/sec accuracy=0.487852 top_k_accuracy_5=0.723281 | |
| Epoch[32] Batch [2000] Speed: 1232.37 samples/sec accuracy=0.490352 top_k_accuracy_5=0.730039 | |
| Epoch[32] Batch [2100] Speed: 1227.26 samples/sec accuracy=0.489609 top_k_accuracy_5=0.726797 | |
| Epoch[32] Batch [2200] Speed: 1219.93 samples/sec accuracy=0.493672 top_k_accuracy_5=0.728242 | |
| Epoch[32] Batch [2300] Speed: 1216.39 samples/sec accuracy=0.483477 top_k_accuracy_5=0.723281 | |
| Epoch[32] Batch [2400] Speed: 1220.07 samples/sec accuracy=0.490195 top_k_accuracy_5=0.727656 | |
| Epoch[32] Batch [2500] Speed: 1220.90 samples/sec accuracy=0.489297 top_k_accuracy_5=0.724805 | |
| Epoch[32] Batch [2600] Speed: 1225.52 samples/sec accuracy=0.493477 top_k_accuracy_5=0.729258 | |
| Epoch[32] Batch [2700] Speed: 1228.24 samples/sec accuracy=0.491914 top_k_accuracy_5=0.727344 | |
| Epoch[32] Batch [2800] Speed: 1228.93 samples/sec accuracy=0.496406 top_k_accuracy_5=0.729766 | |
| Epoch[32] Batch [2900] Speed: 1228.87 samples/sec accuracy=0.496289 top_k_accuracy_5=0.728594 | |
| Epoch[32] Batch [3000] Speed: 1220.30 samples/sec accuracy=0.488672 top_k_accuracy_5=0.724961 | |
| Epoch[32] Batch [3100] Speed: 1220.27 samples/sec accuracy=0.495273 top_k_accuracy_5=0.730820 | |
| Epoch[32] Batch [3200] Speed: 1215.00 samples/sec accuracy=0.498047 top_k_accuracy_5=0.733750 | |
| Epoch[32] Batch [3300] Speed: 1222.91 samples/sec accuracy=0.492031 top_k_accuracy_5=0.728867 | |
| Epoch[32] Batch [3400] Speed: 1222.76 samples/sec accuracy=0.496641 top_k_accuracy_5=0.730508 | |
| Epoch[32] Batch [3500] Speed: 1228.18 samples/sec accuracy=0.500508 top_k_accuracy_5=0.732734 | |
| Epoch[32] Batch [3600] Speed: 1239.21 samples/sec accuracy=0.494414 top_k_accuracy_5=0.731211 | |
| Epoch[32] Batch [3700] Speed: 1218.36 samples/sec accuracy=0.497773 top_k_accuracy_5=0.730430 | |
| Epoch[32] Batch [3800] Speed: 1220.46 samples/sec accuracy=0.499961 top_k_accuracy_5=0.729336 | |
| Epoch[32] Batch [3900] Speed: 1207.53 samples/sec accuracy=0.499102 top_k_accuracy_5=0.729297 | |
| Epoch[32] Batch [4000] Speed: 1219.77 samples/sec accuracy=0.501875 top_k_accuracy_5=0.734023 | |
| Epoch[32] Batch [4100] Speed: 1220.33 samples/sec accuracy=0.494844 top_k_accuracy_5=0.733477 | |
| Epoch[32] Batch [4200] Speed: 1224.15 samples/sec accuracy=0.500547 top_k_accuracy_5=0.732461 | |
| Epoch[32] Batch [4300] Speed: 1226.95 samples/sec accuracy=0.501641 top_k_accuracy_5=0.732266 | |
| Epoch[32] Batch [4400] Speed: 1223.40 samples/sec accuracy=0.502188 top_k_accuracy_5=0.738398 | |
| Epoch[32] Batch [4500] Speed: 1212.99 samples/sec accuracy=0.504844 top_k_accuracy_5=0.736445 | |
| Epoch[32] Batch [4600] Speed: 1212.59 samples/sec accuracy=0.498789 top_k_accuracy_5=0.736953 | |
| Epoch[32] Batch [4700] Speed: 1226.49 samples/sec accuracy=0.503945 top_k_accuracy_5=0.737969 | |
| Epoch[32] Batch [4800] Speed: 1220.70 samples/sec accuracy=0.499023 top_k_accuracy_5=0.733906 | |
| Epoch[32] Batch [4900] Speed: 1233.77 samples/sec accuracy=0.507109 top_k_accuracy_5=0.739258 | |
| Epoch[32] Batch [5000] Speed: 1216.75 samples/sec accuracy=0.497969 top_k_accuracy_5=0.735586 | |
| Epoch[32] Train-accuracy=0.497070 | |
| Epoch[32] Train-top_k_accuracy_5=0.707031 | |
| Epoch[32] Time cost=1048.523 | |
| Saved checkpoint to "model/resnet18-0033.params" | |
| Epoch[32] Validation-accuracy=0.510981 | |
| Epoch[32] Validation-top_k_accuracy_5=0.751216 | |
| Epoch[33] Batch [100] Speed: 1225.44 samples/sec accuracy=0.494121 top_k_accuracy_5=0.732944 | |
| Epoch[33] Batch [200] Speed: 1220.60 samples/sec accuracy=0.493164 top_k_accuracy_5=0.729062 | |
| Epoch[33] Batch [300] Speed: 1213.39 samples/sec accuracy=0.497734 top_k_accuracy_5=0.732539 | |
| Epoch[33] Batch [400] Speed: 1218.83 samples/sec accuracy=0.495039 top_k_accuracy_5=0.731953 | |
| Epoch[33] Batch [500] Speed: 1226.52 samples/sec accuracy=0.498086 top_k_accuracy_5=0.733125 | |
| Epoch[33] Batch [600] Speed: 1251.75 samples/sec accuracy=0.496563 top_k_accuracy_5=0.734375 | |
| Epoch[33] Batch [700] Speed: 1233.14 samples/sec accuracy=0.492305 top_k_accuracy_5=0.730703 | |
| Epoch[33] Batch [800] Speed: 1224.67 samples/sec accuracy=0.491602 top_k_accuracy_5=0.726914 | |
| Epoch[33] Batch [900] Speed: 1240.80 samples/sec accuracy=0.493164 top_k_accuracy_5=0.734492 | |
| Epoch[33] Batch [1000] Speed: 1226.88 samples/sec accuracy=0.495937 top_k_accuracy_5=0.734062 | |
| Epoch[33] Batch [1100] Speed: 1236.32 samples/sec accuracy=0.499766 top_k_accuracy_5=0.733008 | |
| Epoch[33] Batch [1200] Speed: 1240.20 samples/sec accuracy=0.496328 top_k_accuracy_5=0.731836 | |
| Epoch[33] Batch [1300] Speed: 1235.79 samples/sec accuracy=0.494961 top_k_accuracy_5=0.730000 | |
| Epoch[33] Batch [1400] Speed: 1234.45 samples/sec accuracy=0.492695 top_k_accuracy_5=0.733164 | |
| Epoch[33] Batch [1500] Speed: 1238.73 samples/sec accuracy=0.494805 top_k_accuracy_5=0.728594 | |
| Epoch[33] Batch [1600] Speed: 1234.14 samples/sec accuracy=0.490781 top_k_accuracy_5=0.725352 | |
| Epoch[33] Batch [1700] Speed: 1240.49 samples/sec accuracy=0.499648 top_k_accuracy_5=0.735391 | |
| Epoch[33] Batch [1800] Speed: 1241.85 samples/sec accuracy=0.496445 top_k_accuracy_5=0.727656 | |
| Epoch[33] Batch [1900] Speed: 1239.08 samples/sec accuracy=0.498672 top_k_accuracy_5=0.735898 | |
| Epoch[33] Batch [2000] Speed: 1243.74 samples/sec accuracy=0.500664 top_k_accuracy_5=0.733789 | |
| Epoch[33] Batch [2100] Speed: 1245.46 samples/sec accuracy=0.496758 top_k_accuracy_5=0.730859 | |
| Epoch[33] Batch [2200] Speed: 1249.93 samples/sec accuracy=0.500117 top_k_accuracy_5=0.733281 | |
| Epoch[33] Batch [2300] Speed: 1244.20 samples/sec accuracy=0.491680 top_k_accuracy_5=0.732148 | |
| Epoch[33] Batch [2400] Speed: 1242.00 samples/sec accuracy=0.500078 top_k_accuracy_5=0.733672 | |
| Epoch[33] Batch [2500] Speed: 1247.29 samples/sec accuracy=0.497773 top_k_accuracy_5=0.732383 | |
| Epoch[33] Batch [2600] Speed: 1238.27 samples/sec accuracy=0.496367 top_k_accuracy_5=0.729922 | |
| Epoch[33] Batch [2700] Speed: 1229.71 samples/sec accuracy=0.497070 top_k_accuracy_5=0.731211 | |
| Epoch[33] Batch [2800] Speed: 1246.45 samples/sec accuracy=0.497539 top_k_accuracy_5=0.733594 | |
| Epoch[33] Batch [2900] Speed: 1238.16 samples/sec accuracy=0.499922 top_k_accuracy_5=0.737891 | |
| Epoch[33] Batch [3000] Speed: 1225.06 samples/sec accuracy=0.492969 top_k_accuracy_5=0.734492 | |
| Epoch[33] Batch [3100] Speed: 1222.70 samples/sec accuracy=0.500703 top_k_accuracy_5=0.729883 | |
| Epoch[33] Batch [3200] Speed: 1233.95 samples/sec accuracy=0.505352 top_k_accuracy_5=0.738359 | |
| Epoch[33] Batch [3300] Speed: 1228.18 samples/sec accuracy=0.498477 top_k_accuracy_5=0.732344 | |
| Epoch[33] Batch [3400] Speed: 1247.15 samples/sec accuracy=0.500000 top_k_accuracy_5=0.733242 | |
| Epoch[33] Batch [3500] Speed: 1243.79 samples/sec accuracy=0.506367 top_k_accuracy_5=0.738672 | |
| Epoch[33] Batch [3600] Speed: 1225.80 samples/sec accuracy=0.501016 top_k_accuracy_5=0.734297 | |
| Epoch[33] Batch [3700] Speed: 1229.58 samples/sec accuracy=0.502031 top_k_accuracy_5=0.737148 | |
| Epoch[33] Batch [3800] Speed: 1251.57 samples/sec accuracy=0.504375 top_k_accuracy_5=0.736602 | |
| Epoch[33] Batch [3900] Speed: 1244.71 samples/sec accuracy=0.499922 top_k_accuracy_5=0.734375 | |
| Epoch[33] Batch [4000] Speed: 1241.39 samples/sec accuracy=0.511250 top_k_accuracy_5=0.743008 | |
| Epoch[33] Batch [4100] Speed: 1225.60 samples/sec accuracy=0.498008 top_k_accuracy_5=0.733086 | |
| Epoch[33] Batch [4200] Speed: 1231.99 samples/sec accuracy=0.499336 top_k_accuracy_5=0.735898 | |
| Epoch[33] Batch [4300] Speed: 1235.70 samples/sec accuracy=0.498555 top_k_accuracy_5=0.730547 | |
| Epoch[33] Batch [4400] Speed: 1251.78 samples/sec accuracy=0.504570 top_k_accuracy_5=0.743437 | |
| Epoch[33] Batch [4500] Speed: 1229.40 samples/sec accuracy=0.502734 top_k_accuracy_5=0.736992 | |
| Epoch[33] Batch [4600] Speed: 1242.22 samples/sec accuracy=0.503320 top_k_accuracy_5=0.739219 | |
| Epoch[33] Batch [4700] Speed: 1230.64 samples/sec accuracy=0.505391 top_k_accuracy_5=0.737383 | |
| Epoch[33] Batch [4800] Speed: 1234.44 samples/sec accuracy=0.501680 top_k_accuracy_5=0.735586 | |
| Epoch[33] Batch [4900] Speed: 1240.42 samples/sec accuracy=0.511406 top_k_accuracy_5=0.741523 | |
| Epoch[33] Batch [5000] Speed: 1229.53 samples/sec accuracy=0.501367 top_k_accuracy_5=0.737539 | |
| Epoch[33] Train-accuracy=0.450521 | |
| Epoch[33] Train-top_k_accuracy_5=0.707031 | |
| Epoch[33] Time cost=1036.946 | |
| Saved checkpoint to "model/resnet18-0034.params" | |
| Epoch[33] Validation-accuracy=0.515425 | |
| Epoch[33] Validation-top_k_accuracy_5=0.752023 | |
| Epoch[34] Batch [100] Speed: 1248.42 samples/sec accuracy=0.503481 top_k_accuracy_5=0.735613 | |
| Epoch[34] Batch [200] Speed: 1249.47 samples/sec accuracy=0.499609 top_k_accuracy_5=0.732656 | |
| Epoch[34] Batch [300] Speed: 1247.89 samples/sec accuracy=0.498789 top_k_accuracy_5=0.736953 | |
| Epoch[34] Batch [400] Speed: 1246.91 samples/sec accuracy=0.494297 top_k_accuracy_5=0.730547 | |
| Epoch[34] Batch [500] Speed: 1247.83 samples/sec accuracy=0.496367 top_k_accuracy_5=0.737187 | |
| Epoch[34] Batch [600] Speed: 1252.95 samples/sec accuracy=0.500977 top_k_accuracy_5=0.737266 | |
| Epoch[34] Batch [700] Speed: 1248.06 samples/sec accuracy=0.500508 top_k_accuracy_5=0.727695 | |
| Epoch[34] Batch [800] Speed: 1240.48 samples/sec accuracy=0.498477 top_k_accuracy_5=0.733008 | |
| Epoch[34] Batch [900] Speed: 1257.00 samples/sec accuracy=0.499492 top_k_accuracy_5=0.732734 | |
| Epoch[34] Batch [1000] Speed: 1242.71 samples/sec accuracy=0.499453 top_k_accuracy_5=0.734570 | |
| Epoch[34] Batch [1100] Speed: 1257.59 samples/sec accuracy=0.504219 top_k_accuracy_5=0.738984 | |
| Epoch[34] Batch [1200] Speed: 1238.20 samples/sec accuracy=0.500781 top_k_accuracy_5=0.732656 | |
| Epoch[34] Batch [1300] Speed: 1249.14 samples/sec accuracy=0.501797 top_k_accuracy_5=0.731758 | |
| Epoch[34] Batch [1400] Speed: 1244.95 samples/sec accuracy=0.503555 top_k_accuracy_5=0.738398 | |
| Epoch[34] Batch [1500] Speed: 1241.76 samples/sec accuracy=0.500156 top_k_accuracy_5=0.731992 | |
| Epoch[34] Batch [1600] Speed: 1249.72 samples/sec accuracy=0.497188 top_k_accuracy_5=0.733398 | |
| Epoch[34] Batch [1700] Speed: 1251.20 samples/sec accuracy=0.502070 top_k_accuracy_5=0.739297 | |
| Epoch[34] Batch [1800] Speed: 1246.44 samples/sec accuracy=0.502148 top_k_accuracy_5=0.733047 | |
| Epoch[34] Batch [1900] Speed: 1249.08 samples/sec accuracy=0.500547 top_k_accuracy_5=0.735977 | |
| Epoch[34] Batch [2000] Speed: 1248.89 samples/sec accuracy=0.502930 top_k_accuracy_5=0.734062 | |
| Epoch[34] Batch [2100] Speed: 1246.97 samples/sec accuracy=0.499180 top_k_accuracy_5=0.734688 | |
| Epoch[34] Batch [2200] Speed: 1230.67 samples/sec accuracy=0.499258 top_k_accuracy_5=0.732891 | |
| Epoch[34] Batch [2300] Speed: 1239.69 samples/sec accuracy=0.500156 top_k_accuracy_5=0.737734 | |
| Epoch[34] Batch [2400] Speed: 1242.17 samples/sec accuracy=0.501641 top_k_accuracy_5=0.736250 | |
| Epoch[34] Batch [2500] Speed: 1246.34 samples/sec accuracy=0.500742 top_k_accuracy_5=0.734023 | |
| Epoch[34] Batch [2600] Speed: 1240.90 samples/sec accuracy=0.496289 top_k_accuracy_5=0.736055 | |
| Epoch[34] Batch [2700] Speed: 1240.22 samples/sec accuracy=0.502227 top_k_accuracy_5=0.734023 | |
| Epoch[34] Batch [2800] Speed: 1249.87 samples/sec accuracy=0.501875 top_k_accuracy_5=0.735430 | |
| Epoch[34] Batch [2900] Speed: 1249.39 samples/sec accuracy=0.507734 top_k_accuracy_5=0.740664 | |
| Epoch[34] Batch [3000] Speed: 1243.57 samples/sec accuracy=0.499297 top_k_accuracy_5=0.735586 | |
| Epoch[34] Batch [3100] Speed: 1249.74 samples/sec accuracy=0.501484 top_k_accuracy_5=0.735781 | |
| Epoch[34] Batch [3200] Speed: 1244.71 samples/sec accuracy=0.507344 top_k_accuracy_5=0.744844 | |
| Epoch[34] Batch [3300] Speed: 1245.35 samples/sec accuracy=0.499688 top_k_accuracy_5=0.737422 | |
| Epoch[34] Batch [3400] Speed: 1247.30 samples/sec accuracy=0.509687 top_k_accuracy_5=0.746211 | |
| Epoch[34] Batch [3500] Speed: 1251.98 samples/sec accuracy=0.511875 top_k_accuracy_5=0.741758 | |
| Epoch[34] Batch [3600] Speed: 1248.11 samples/sec accuracy=0.506680 top_k_accuracy_5=0.738867 | |
| Epoch[34] Batch [3700] Speed: 1239.75 samples/sec accuracy=0.505508 top_k_accuracy_5=0.738359 | |
| Epoch[34] Batch [3800] Speed: 1243.40 samples/sec accuracy=0.509336 top_k_accuracy_5=0.741758 | |
| Epoch[34] Batch [3900] Speed: 1245.33 samples/sec accuracy=0.505078 top_k_accuracy_5=0.735742 | |
| Epoch[34] Batch [4000] Speed: 1251.47 samples/sec accuracy=0.508125 top_k_accuracy_5=0.739609 | |
| Epoch[34] Batch [4100] Speed: 1239.19 samples/sec accuracy=0.503281 top_k_accuracy_5=0.737656 | |
| Epoch[34] Batch [4200] Speed: 1247.35 samples/sec accuracy=0.508555 top_k_accuracy_5=0.739922 | |
| Epoch[34] Batch [4300] Speed: 1248.50 samples/sec accuracy=0.507383 top_k_accuracy_5=0.736328 | |
| Epoch[34] Batch [4400] Speed: 1237.10 samples/sec accuracy=0.508047 top_k_accuracy_5=0.740508 | |
| Epoch[34] Batch [4500] Speed: 1243.63 samples/sec accuracy=0.511406 top_k_accuracy_5=0.742148 | |
| Epoch[34] Batch [4600] Speed: 1241.89 samples/sec accuracy=0.505234 top_k_accuracy_5=0.738203 | |
| Epoch[34] Batch [4700] Speed: 1255.52 samples/sec accuracy=0.504570 top_k_accuracy_5=0.742812 | |
| Epoch[34] Batch [4800] Speed: 1240.55 samples/sec accuracy=0.506953 top_k_accuracy_5=0.742227 | |
| Epoch[34] Batch [4900] Speed: 1245.52 samples/sec accuracy=0.508281 top_k_accuracy_5=0.742617 | |
| Epoch[34] Batch [5000] Speed: 1244.82 samples/sec accuracy=0.508594 top_k_accuracy_5=0.743594 | |
| Epoch[34] Train-accuracy=0.496094 | |
| Epoch[34] Train-top_k_accuracy_5=0.720703 | |
| Epoch[34] Time cost=1028.594 | |
| Saved checkpoint to "model/resnet18-0035.params" | |
| Epoch[34] Validation-accuracy=0.520292 | |
| Epoch[34] Validation-top_k_accuracy_5=0.756791 | |
| Epoch[35] Batch [100] Speed: 1244.11 samples/sec accuracy=0.508663 top_k_accuracy_5=0.741337 | |
| Epoch[35] Batch [200] Speed: 1239.30 samples/sec accuracy=0.503008 top_k_accuracy_5=0.740234 | |
| Epoch[35] Batch [300] Speed: 1237.25 samples/sec accuracy=0.507500 top_k_accuracy_5=0.741211 | |
| Epoch[35] Batch [400] Speed: 1242.81 samples/sec accuracy=0.500859 top_k_accuracy_5=0.735391 | |
| Epoch[35] Batch [500] Speed: 1248.85 samples/sec accuracy=0.505039 top_k_accuracy_5=0.739219 | |
| Epoch[35] Batch [600] Speed: 1240.54 samples/sec accuracy=0.503906 top_k_accuracy_5=0.734844 | |
| Epoch[35] Batch [700] Speed: 1244.37 samples/sec accuracy=0.503828 top_k_accuracy_5=0.736172 | |
| Epoch[35] Batch [800] Speed: 1238.71 samples/sec accuracy=0.500117 top_k_accuracy_5=0.734219 | |
| Epoch[35] Batch [900] Speed: 1245.45 samples/sec accuracy=0.499453 top_k_accuracy_5=0.734805 | |
| Epoch[35] Batch [1000] Speed: 1241.03 samples/sec accuracy=0.498320 top_k_accuracy_5=0.738555 | |
| Epoch[35] Batch [1100] Speed: 1240.94 samples/sec accuracy=0.507969 top_k_accuracy_5=0.742617 | |
| Epoch[35] Batch [1200] Speed: 1247.34 samples/sec accuracy=0.504961 top_k_accuracy_5=0.735703 | |
| Epoch[35] Batch [1300] Speed: 1244.85 samples/sec accuracy=0.500742 top_k_accuracy_5=0.733086 | |
| Epoch[35] Batch [1400] Speed: 1245.12 samples/sec accuracy=0.507383 top_k_accuracy_5=0.738828 | |
| Epoch[35] Batch [1500] Speed: 1250.44 samples/sec accuracy=0.502227 top_k_accuracy_5=0.736836 | |
| Epoch[35] Batch [1600] Speed: 1253.59 samples/sec accuracy=0.503672 top_k_accuracy_5=0.737539 | |
| Epoch[35] Batch [1700] Speed: 1240.97 samples/sec accuracy=0.502109 top_k_accuracy_5=0.739336 | |
| Epoch[35] Batch [1800] Speed: 1244.05 samples/sec accuracy=0.503633 top_k_accuracy_5=0.736055 | |
| Epoch[35] Batch [1900] Speed: 1242.49 samples/sec accuracy=0.506289 top_k_accuracy_5=0.736914 | |
| Epoch[35] Batch [2000] Speed: 1245.14 samples/sec accuracy=0.508008 top_k_accuracy_5=0.738047 | |
| Epoch[35] Batch [2100] Speed: 1237.55 samples/sec accuracy=0.501875 top_k_accuracy_5=0.741055 | |
| Epoch[35] Batch [2200] Speed: 1230.22 samples/sec accuracy=0.503164 top_k_accuracy_5=0.735938 | |
| Epoch[35] Batch [2300] Speed: 1234.00 samples/sec accuracy=0.505352 top_k_accuracy_5=0.736602 | |
| Epoch[35] Batch [2400] Speed: 1234.93 samples/sec accuracy=0.504805 top_k_accuracy_5=0.740625 | |
| Epoch[35] Batch [2500] Speed: 1235.85 samples/sec accuracy=0.505898 top_k_accuracy_5=0.739648 | |
| Epoch[35] Batch [2600] Speed: 1226.81 samples/sec accuracy=0.502500 top_k_accuracy_5=0.737578 | |
| Epoch[35] Batch [2700] Speed: 1233.52 samples/sec accuracy=0.503867 top_k_accuracy_5=0.739922 | |
| Epoch[35] Batch [2800] Speed: 1230.85 samples/sec accuracy=0.507148 top_k_accuracy_5=0.740742 | |
| Epoch[35] Batch [2900] Speed: 1228.48 samples/sec accuracy=0.511914 top_k_accuracy_5=0.741406 | |
| Epoch[35] Batch [3000] Speed: 1241.50 samples/sec accuracy=0.501484 top_k_accuracy_5=0.732969 | |
| Epoch[35] Batch [3100] Speed: 1228.86 samples/sec accuracy=0.504258 top_k_accuracy_5=0.739922 | |
| Epoch[35] Batch [3200] Speed: 1226.25 samples/sec accuracy=0.511172 top_k_accuracy_5=0.744102 | |
| Epoch[35] Batch [3300] Speed: 1226.59 samples/sec accuracy=0.506797 top_k_accuracy_5=0.740742 | |
| Epoch[35] Batch [3400] Speed: 1235.42 samples/sec accuracy=0.511133 top_k_accuracy_5=0.745078 | |
| Epoch[35] Batch [3500] Speed: 1230.96 samples/sec accuracy=0.514766 top_k_accuracy_5=0.741484 | |
| Epoch[35] Batch [3600] Speed: 1215.20 samples/sec accuracy=0.510703 top_k_accuracy_5=0.740781 | |
| Epoch[35] Batch [3700] Speed: 1226.50 samples/sec accuracy=0.510586 top_k_accuracy_5=0.742500 | |
| Epoch[35] Batch [3800] Speed: 1239.56 samples/sec accuracy=0.509805 top_k_accuracy_5=0.745742 | |
| Epoch[35] Batch [3900] Speed: 1225.99 samples/sec accuracy=0.504180 top_k_accuracy_5=0.740977 | |
| Epoch[35] Batch [4000] Speed: 1227.75 samples/sec accuracy=0.510352 top_k_accuracy_5=0.746445 | |
| Epoch[35] Batch [4100] Speed: 1245.52 samples/sec accuracy=0.507656 top_k_accuracy_5=0.739961 | |
| Epoch[35] Batch [4200] Speed: 1233.50 samples/sec accuracy=0.511445 top_k_accuracy_5=0.741445 | |
| Epoch[35] Batch [4300] Speed: 1236.69 samples/sec accuracy=0.505664 top_k_accuracy_5=0.739609 | |
| Epoch[35] Batch [4400] Speed: 1234.33 samples/sec accuracy=0.517773 top_k_accuracy_5=0.747031 | |
| Epoch[35] Batch [4500] Speed: 1234.76 samples/sec accuracy=0.511758 top_k_accuracy_5=0.743750 | |
| Epoch[35] Batch [4600] Speed: 1230.03 samples/sec accuracy=0.507383 top_k_accuracy_5=0.740391 | |
| Epoch[35] Batch [4700] Speed: 1243.77 samples/sec accuracy=0.514453 top_k_accuracy_5=0.746250 | |
| Epoch[35] Batch [4800] Speed: 1239.62 samples/sec accuracy=0.508750 top_k_accuracy_5=0.743633 | |
| Epoch[35] Batch [4900] Speed: 1232.64 samples/sec accuracy=0.513750 top_k_accuracy_5=0.747148 | |
| Epoch[35] Batch [5000] Speed: 1228.25 samples/sec accuracy=0.509609 top_k_accuracy_5=0.740117 | |
| Epoch[35] Train-accuracy=0.533203 | |
| Epoch[35] Train-top_k_accuracy_5=0.743164 | |
| Epoch[35] Time cost=1036.144 | |
| Saved checkpoint to "model/resnet18-0036.params" | |
| Epoch[35] Validation-accuracy=0.521604 | |
| Epoch[35] Validation-top_k_accuracy_5=0.757912 | |
| Epoch[36] Batch [100] Speed: 1234.23 samples/sec accuracy=0.513420 top_k_accuracy_5=0.743967 | |
| Epoch[36] Batch [200] Speed: 1238.59 samples/sec accuracy=0.505117 top_k_accuracy_5=0.740273 | |
| Epoch[36] Batch [300] Speed: 1237.39 samples/sec accuracy=0.508242 top_k_accuracy_5=0.742383 | |
| Epoch[36] Batch [400] Speed: 1241.05 samples/sec accuracy=0.503125 top_k_accuracy_5=0.735117 | |
| Epoch[36] Batch [500] Speed: 1249.47 samples/sec accuracy=0.508164 top_k_accuracy_5=0.743984 | |
| Epoch[36] Batch [600] Speed: 1244.60 samples/sec accuracy=0.510195 top_k_accuracy_5=0.741016 | |
| Epoch[36] Batch [700] Speed: 1233.71 samples/sec accuracy=0.508320 top_k_accuracy_5=0.739922 | |
| Epoch[36] Batch [800] Speed: 1244.03 samples/sec accuracy=0.503477 top_k_accuracy_5=0.737031 | |
| Epoch[36] Batch [900] Speed: 1243.28 samples/sec accuracy=0.508906 top_k_accuracy_5=0.739023 | |
| Epoch[36] Batch [1000] Speed: 1250.13 samples/sec accuracy=0.505195 top_k_accuracy_5=0.738359 | |
| Epoch[36] Batch [1100] Speed: 1246.88 samples/sec accuracy=0.510273 top_k_accuracy_5=0.741953 | |
| Epoch[36] Batch [1200] Speed: 1237.55 samples/sec accuracy=0.507109 top_k_accuracy_5=0.742500 | |
| Epoch[36] Batch [1300] Speed: 1237.04 samples/sec accuracy=0.501133 top_k_accuracy_5=0.734883 | |
| Epoch[36] Batch [1400] Speed: 1235.45 samples/sec accuracy=0.506172 top_k_accuracy_5=0.741563 | |
| Epoch[36] Batch [1500] Speed: 1231.39 samples/sec accuracy=0.501953 top_k_accuracy_5=0.734766 | |
| Epoch[36] Batch [1600] Speed: 1232.25 samples/sec accuracy=0.501094 top_k_accuracy_5=0.738281 | |
| Epoch[36] Batch [1700] Speed: 1231.43 samples/sec accuracy=0.504297 top_k_accuracy_5=0.742500 | |
| Epoch[36] Batch [1800] Speed: 1228.20 samples/sec accuracy=0.505195 top_k_accuracy_5=0.742812 | |
| Epoch[36] Batch [1900] Speed: 1234.37 samples/sec accuracy=0.508242 top_k_accuracy_5=0.737695 | |
| Epoch[36] Batch [2000] Speed: 1233.24 samples/sec accuracy=0.509062 top_k_accuracy_5=0.743008 | |
| Epoch[36] Batch [2100] Speed: 1239.33 samples/sec accuracy=0.508047 top_k_accuracy_5=0.741523 | |
| Epoch[36] Batch [2200] Speed: 1222.95 samples/sec accuracy=0.509648 top_k_accuracy_5=0.742188 | |
| Epoch[36] Batch [2300] Speed: 1229.29 samples/sec accuracy=0.503398 top_k_accuracy_5=0.739805 | |
| Epoch[36] Batch [2400] Speed: 1230.99 samples/sec accuracy=0.508398 top_k_accuracy_5=0.740820 | |
| Epoch[36] Batch [2500] Speed: 1227.61 samples/sec accuracy=0.506953 top_k_accuracy_5=0.739180 | |
| Epoch[36] Batch [2600] Speed: 1241.03 samples/sec accuracy=0.506563 top_k_accuracy_5=0.740508 | |
| Epoch[36] Batch [2700] Speed: 1232.27 samples/sec accuracy=0.506680 top_k_accuracy_5=0.739023 | |
| Epoch[36] Batch [2800] Speed: 1236.93 samples/sec accuracy=0.507461 top_k_accuracy_5=0.739023 | |
| Epoch[36] Batch [2900] Speed: 1229.37 samples/sec accuracy=0.514258 top_k_accuracy_5=0.739922 | |
| Epoch[36] Batch [3000] Speed: 1223.79 samples/sec accuracy=0.504258 top_k_accuracy_5=0.741016 | |
| Epoch[36] Batch [3100] Speed: 1236.64 samples/sec accuracy=0.509922 top_k_accuracy_5=0.740352 | |
| Epoch[36] Batch [3200] Speed: 1236.43 samples/sec accuracy=0.514609 top_k_accuracy_5=0.746133 | |
| Epoch[36] Batch [3300] Speed: 1233.96 samples/sec accuracy=0.506016 top_k_accuracy_5=0.741758 | |
| Epoch[36] Batch [3400] Speed: 1234.60 samples/sec accuracy=0.509453 top_k_accuracy_5=0.740547 | |
| Epoch[36] Batch [3500] Speed: 1234.77 samples/sec accuracy=0.513789 top_k_accuracy_5=0.742656 | |
| Epoch[36] Batch [3600] Speed: 1242.42 samples/sec accuracy=0.506523 top_k_accuracy_5=0.743242 | |
| Epoch[36] Batch [3700] Speed: 1228.39 samples/sec accuracy=0.510312 top_k_accuracy_5=0.742070 | |
| Epoch[36] Batch [3800] Speed: 1223.93 samples/sec accuracy=0.509961 top_k_accuracy_5=0.739492 | |
| Epoch[36] Batch [3900] Speed: 1225.36 samples/sec accuracy=0.505234 top_k_accuracy_5=0.740977 | |
| Epoch[36] Batch [4000] Speed: 1219.29 samples/sec accuracy=0.516289 top_k_accuracy_5=0.749687 | |
| Epoch[36] Batch [4100] Speed: 1226.17 samples/sec accuracy=0.503828 top_k_accuracy_5=0.742109 | |
| Epoch[36] Batch [4200] Speed: 1238.16 samples/sec accuracy=0.510117 top_k_accuracy_5=0.745352 | |
| Epoch[36] Batch [4300] Speed: 1228.63 samples/sec accuracy=0.511523 top_k_accuracy_5=0.739180 | |
| Epoch[36] Batch [4400] Speed: 1236.74 samples/sec accuracy=0.510742 top_k_accuracy_5=0.742031 | |
| Epoch[36] Batch [4500] Speed: 1225.16 samples/sec accuracy=0.511484 top_k_accuracy_5=0.744258 | |
| Epoch[36] Batch [4600] Speed: 1225.29 samples/sec accuracy=0.509883 top_k_accuracy_5=0.742812 | |
| Epoch[36] Batch [4700] Speed: 1229.20 samples/sec accuracy=0.512734 top_k_accuracy_5=0.747070 | |
| Epoch[36] Batch [4800] Speed: 1224.06 samples/sec accuracy=0.509531 top_k_accuracy_5=0.743203 | |
| Epoch[36] Batch [4900] Speed: 1231.76 samples/sec accuracy=0.515508 top_k_accuracy_5=0.748320 | |
| Epoch[36] Batch [5000] Speed: 1233.09 samples/sec accuracy=0.509766 top_k_accuracy_5=0.743047 | |
| Epoch[36] Train-accuracy=0.479167 | |
| Epoch[36] Train-top_k_accuracy_5=0.730469 | |
| Epoch[36] Time cost=1038.573 | |
| Saved checkpoint to "model/resnet18-0037.params" | |
| Epoch[36] Validation-accuracy=0.521114 | |
| Epoch[36] Validation-top_k_accuracy_5=0.757913 | |
| Epoch[37] Batch [100] Speed: 1227.80 samples/sec accuracy=0.509514 top_k_accuracy_5=0.743077 | |
| Epoch[37] Batch [200] Speed: 1230.13 samples/sec accuracy=0.506797 top_k_accuracy_5=0.743711 | |
| Epoch[37] Batch [300] Speed: 1219.49 samples/sec accuracy=0.511484 top_k_accuracy_5=0.741719 | |
| Epoch[37] Batch [400] Speed: 1218.88 samples/sec accuracy=0.503437 top_k_accuracy_5=0.737500 | |
| Epoch[37] Batch [500] Speed: 1225.49 samples/sec accuracy=0.510312 top_k_accuracy_5=0.744922 | |
| Epoch[37] Batch [600] Speed: 1236.50 samples/sec accuracy=0.510078 top_k_accuracy_5=0.739102 | |
| Epoch[37] Batch [700] Speed: 1231.83 samples/sec accuracy=0.506328 top_k_accuracy_5=0.738281 | |
| Epoch[37] Batch [800] Speed: 1232.77 samples/sec accuracy=0.507148 top_k_accuracy_5=0.739961 | |
| Epoch[37] Batch [900] Speed: 1225.89 samples/sec accuracy=0.505586 top_k_accuracy_5=0.740078 | |
| Epoch[37] Batch [1000] Speed: 1231.45 samples/sec accuracy=0.506719 top_k_accuracy_5=0.742227 | |
| Epoch[37] Batch [1100] Speed: 1226.33 samples/sec accuracy=0.510781 top_k_accuracy_5=0.742969 | |
| Epoch[37] Batch [1200] Speed: 1237.35 samples/sec accuracy=0.513242 top_k_accuracy_5=0.742070 | |
| Epoch[37] Batch [1300] Speed: 1224.67 samples/sec accuracy=0.505273 top_k_accuracy_5=0.739141 | |
| Epoch[37] Batch [1400] Speed: 1227.03 samples/sec accuracy=0.507500 top_k_accuracy_5=0.740664 | |
| Epoch[37] Batch [1500] Speed: 1231.30 samples/sec accuracy=0.507148 top_k_accuracy_5=0.738008 | |
| Epoch[37] Batch [1600] Speed: 1233.36 samples/sec accuracy=0.507852 top_k_accuracy_5=0.739883 | |
| Epoch[37] Batch [1700] Speed: 1242.94 samples/sec accuracy=0.502852 top_k_accuracy_5=0.739180 | |
| Epoch[37] Batch [1800] Speed: 1233.33 samples/sec accuracy=0.513320 top_k_accuracy_5=0.745391 | |
| Epoch[37] Batch [1900] Speed: 1247.22 samples/sec accuracy=0.510000 top_k_accuracy_5=0.741328 | |
| Epoch[37] Batch [2000] Speed: 1232.71 samples/sec accuracy=0.513633 top_k_accuracy_5=0.745039 | |
| Epoch[37] Batch [2100] Speed: 1233.49 samples/sec accuracy=0.503711 top_k_accuracy_5=0.738281 | |
| Epoch[37] Batch [2200] Speed: 1228.97 samples/sec accuracy=0.506758 top_k_accuracy_5=0.740039 | |
| Epoch[37] Batch [2300] Speed: 1226.06 samples/sec accuracy=0.504766 top_k_accuracy_5=0.737148 | |
| Epoch[37] Batch [2400] Speed: 1229.11 samples/sec accuracy=0.506875 top_k_accuracy_5=0.739062 | |
| Epoch[37] Batch [2500] Speed: 1231.85 samples/sec accuracy=0.508555 top_k_accuracy_5=0.740625 | |
| Epoch[37] Batch [2600] Speed: 1227.90 samples/sec accuracy=0.508594 top_k_accuracy_5=0.743828 | |
| Epoch[37] Batch [2700] Speed: 1229.89 samples/sec accuracy=0.503125 top_k_accuracy_5=0.741289 | |
| Epoch[37] Batch [2800] Speed: 1234.46 samples/sec accuracy=0.506914 top_k_accuracy_5=0.743867 | |
| Epoch[37] Batch [2900] Speed: 1242.63 samples/sec accuracy=0.511914 top_k_accuracy_5=0.746367 | |
| Epoch[37] Batch [3000] Speed: 1236.44 samples/sec accuracy=0.504922 top_k_accuracy_5=0.741719 | |
| Epoch[37] Batch [3100] Speed: 1239.01 samples/sec accuracy=0.511875 top_k_accuracy_5=0.744492 | |
| Epoch[37] Batch [3200] Speed: 1236.08 samples/sec accuracy=0.513633 top_k_accuracy_5=0.748711 | |
| Epoch[37] Batch [3300] Speed: 1236.48 samples/sec accuracy=0.508984 top_k_accuracy_5=0.740352 | |
| Epoch[37] Batch [3400] Speed: 1232.57 samples/sec accuracy=0.510312 top_k_accuracy_5=0.742773 | |
| Epoch[37] Batch [3500] Speed: 1251.16 samples/sec accuracy=0.511758 top_k_accuracy_5=0.744492 | |
| Epoch[37] Batch [3600] Speed: 1245.17 samples/sec accuracy=0.505430 top_k_accuracy_5=0.743672 | |
| Epoch[37] Batch [3700] Speed: 1256.46 samples/sec accuracy=0.508555 top_k_accuracy_5=0.740977 | |
| Epoch[37] Batch [3800] Speed: 1257.87 samples/sec accuracy=0.512148 top_k_accuracy_5=0.744687 | |
| Epoch[37] Batch [3900] Speed: 1260.07 samples/sec accuracy=0.507578 top_k_accuracy_5=0.740781 | |
| Epoch[37] Batch [4000] Speed: 1265.37 samples/sec accuracy=0.510391 top_k_accuracy_5=0.745000 | |
| Epoch[37] Batch [4100] Speed: 1240.62 samples/sec accuracy=0.509648 top_k_accuracy_5=0.744531 | |
| Epoch[37] Batch [4200] Speed: 1240.56 samples/sec accuracy=0.508711 top_k_accuracy_5=0.741016 | |
| Epoch[37] Batch [4300] Speed: 1247.86 samples/sec accuracy=0.508320 top_k_accuracy_5=0.741875 | |
| Epoch[37] Batch [4400] Speed: 1222.99 samples/sec accuracy=0.512930 top_k_accuracy_5=0.740313 | |
| Epoch[37] Batch [4500] Speed: 1217.46 samples/sec accuracy=0.511641 top_k_accuracy_5=0.741875 | |
| Epoch[37] Batch [4600] Speed: 1222.42 samples/sec accuracy=0.510391 top_k_accuracy_5=0.742617 | |
| Epoch[37] Batch [4700] Speed: 1226.09 samples/sec accuracy=0.514727 top_k_accuracy_5=0.743672 | |
| Epoch[37] Batch [4800] Speed: 1245.22 samples/sec accuracy=0.511133 top_k_accuracy_5=0.743359 | |
| Epoch[37] Batch [4900] Speed: 1230.43 samples/sec accuracy=0.514336 top_k_accuracy_5=0.747812 | |
| Epoch[37] Batch [5000] Speed: 1227.10 samples/sec accuracy=0.510000 top_k_accuracy_5=0.744141 | |
| Epoch[37] Train-accuracy=0.500000 | |
| Epoch[37] Train-top_k_accuracy_5=0.712891 | |
| Epoch[37] Time cost=1038.192 | |
| Saved checkpoint to "model/resnet18-0038.params" | |
| Epoch[37] Validation-accuracy=0.520052 | |
| Epoch[37] Validation-top_k_accuracy_5=0.758253 | |
| Epoch[38] Batch [100] Speed: 1220.98 samples/sec accuracy=0.511371 top_k_accuracy_5=0.742071 | |
| Epoch[38] Batch [200] Speed: 1218.71 samples/sec accuracy=0.505820 top_k_accuracy_5=0.741055 | |
| Epoch[38] Batch [300] Speed: 1215.46 samples/sec accuracy=0.502227 top_k_accuracy_5=0.740156 | |
| Epoch[38] Batch [400] Speed: 1227.21 samples/sec accuracy=0.507422 top_k_accuracy_5=0.741250 | |
| Epoch[38] Batch [500] Speed: 1240.11 samples/sec accuracy=0.509453 top_k_accuracy_5=0.746836 | |
| Epoch[38] Batch [600] Speed: 1235.81 samples/sec accuracy=0.511133 top_k_accuracy_5=0.741758 | |
| Epoch[38] Batch [700] Speed: 1218.81 samples/sec accuracy=0.506055 top_k_accuracy_5=0.736875 | |
| Epoch[38] Batch [800] Speed: 1214.39 samples/sec accuracy=0.507227 top_k_accuracy_5=0.741758 | |
| Epoch[38] Batch [900] Speed: 1207.24 samples/sec accuracy=0.511484 top_k_accuracy_5=0.744648 | |
| Epoch[38] Batch [1000] Speed: 1214.14 samples/sec accuracy=0.508711 top_k_accuracy_5=0.747383 | |
| Epoch[38] Batch [1100] Speed: 1226.27 samples/sec accuracy=0.507383 top_k_accuracy_5=0.744297 | |
| Epoch[38] Batch [1200] Speed: 1225.26 samples/sec accuracy=0.509180 top_k_accuracy_5=0.742539 | |
| Epoch[38] Batch [1300] Speed: 1225.98 samples/sec accuracy=0.506172 top_k_accuracy_5=0.743125 | |
| Epoch[38] Batch [1400] Speed: 1220.35 samples/sec accuracy=0.512734 top_k_accuracy_5=0.744570 | |
| Epoch[38] Batch [1500] Speed: 1223.50 samples/sec accuracy=0.507891 top_k_accuracy_5=0.742383 | |
| Epoch[38] Batch [1600] Speed: 1235.74 samples/sec accuracy=0.507383 top_k_accuracy_5=0.738437 | |
| Epoch[38] Batch [1700] Speed: 1222.67 samples/sec accuracy=0.511133 top_k_accuracy_5=0.746914 | |
| Epoch[38] Batch [1800] Speed: 1222.02 samples/sec accuracy=0.504609 top_k_accuracy_5=0.743203 | |
| Epoch[38] Batch [1900] Speed: 1241.27 samples/sec accuracy=0.513828 top_k_accuracy_5=0.742539 | |
| Epoch[38] Batch [2000] Speed: 1228.49 samples/sec accuracy=0.508633 top_k_accuracy_5=0.740977 | |
| Epoch[38] Batch [2100] Speed: 1243.70 samples/sec accuracy=0.508945 top_k_accuracy_5=0.744258 | |
| Epoch[38] Batch [2200] Speed: 1233.83 samples/sec accuracy=0.509531 top_k_accuracy_5=0.740703 | |
| Epoch[38] Batch [2300] Speed: 1240.85 samples/sec accuracy=0.508359 top_k_accuracy_5=0.740898 | |
| Epoch[38] Batch [2400] Speed: 1245.99 samples/sec accuracy=0.511094 top_k_accuracy_5=0.742305 | |
| Epoch[38] Batch [2500] Speed: 1222.69 samples/sec accuracy=0.508555 top_k_accuracy_5=0.740391 | |
| Epoch[38] Batch [2600] Speed: 1228.29 samples/sec accuracy=0.504336 top_k_accuracy_5=0.738281 | |
| Epoch[38] Batch [2700] Speed: 1228.24 samples/sec accuracy=0.509219 top_k_accuracy_5=0.739766 | |
| Epoch[38] Batch [2800] Speed: 1236.16 samples/sec accuracy=0.509453 top_k_accuracy_5=0.743711 | |
| Epoch[38] Batch [2900] Speed: 1235.79 samples/sec accuracy=0.510156 top_k_accuracy_5=0.742695 | |
| Epoch[38] Batch [3000] Speed: 1226.79 samples/sec accuracy=0.503594 top_k_accuracy_5=0.737344 | |
| Epoch[38] Batch [3100] Speed: 1224.79 samples/sec accuracy=0.509492 top_k_accuracy_5=0.741992 | |
| Epoch[38] Batch [3200] Speed: 1240.91 samples/sec accuracy=0.512227 top_k_accuracy_5=0.749336 | |
| Epoch[38] Batch [3300] Speed: 1252.22 samples/sec accuracy=0.508203 top_k_accuracy_5=0.744219 | |
| Epoch[38] Batch [3400] Speed: 1250.93 samples/sec accuracy=0.504805 top_k_accuracy_5=0.739258 | |
| Epoch[38] Batch [3500] Speed: 1247.66 samples/sec accuracy=0.515977 top_k_accuracy_5=0.746289 | |
| Epoch[38] Batch [3600] Speed: 1243.76 samples/sec accuracy=0.511211 top_k_accuracy_5=0.741953 | |
| Epoch[38] Batch [3700] Speed: 1243.91 samples/sec accuracy=0.511094 top_k_accuracy_5=0.740977 | |
| Epoch[38] Batch [3800] Speed: 1240.79 samples/sec accuracy=0.515742 top_k_accuracy_5=0.742461 | |
| Epoch[38] Batch [3900] Speed: 1229.25 samples/sec accuracy=0.509883 top_k_accuracy_5=0.741641 | |
| Epoch[38] Batch [4000] Speed: 1239.80 samples/sec accuracy=0.514375 top_k_accuracy_5=0.744805 | |
| Epoch[38] Batch [4100] Speed: 1232.26 samples/sec accuracy=0.511914 top_k_accuracy_5=0.745352 | |
| Epoch[38] Batch [4200] Speed: 1225.91 samples/sec accuracy=0.512500 top_k_accuracy_5=0.739805 | |
| Epoch[38] Batch [4300] Speed: 1241.57 samples/sec accuracy=0.511289 top_k_accuracy_5=0.743125 | |
| Epoch[38] Batch [4400] Speed: 1239.00 samples/sec accuracy=0.510273 top_k_accuracy_5=0.746406 | |
| Epoch[38] Batch [4500] Speed: 1239.92 samples/sec accuracy=0.510742 top_k_accuracy_5=0.743203 | |
| Epoch[38] Batch [4600] Speed: 1218.24 samples/sec accuracy=0.512031 top_k_accuracy_5=0.745352 | |
| Epoch[38] Batch [4700] Speed: 1234.34 samples/sec accuracy=0.511602 top_k_accuracy_5=0.747695 | |
| Epoch[38] Batch [4800] Speed: 1237.85 samples/sec accuracy=0.511836 top_k_accuracy_5=0.743437 | |
| Epoch[38] Batch [4900] Speed: 1226.29 samples/sec accuracy=0.516523 top_k_accuracy_5=0.748086 | |
| Epoch[38] Batch [5000] Speed: 1238.85 samples/sec accuracy=0.509609 top_k_accuracy_5=0.745547 | |
| Epoch[38] Train-accuracy=0.503906 | |
| Epoch[38] Train-top_k_accuracy_5=0.721354 | |
| Epoch[38] Time cost=1040.627 | |
| Saved checkpoint to "model/resnet18-0039.params" | |
| Epoch[38] Validation-accuracy=0.526467 | |
| Epoch[38] Validation-top_k_accuracy_5=0.759666 | |
| Epoch[39] Batch [100] Speed: 1234.16 samples/sec accuracy=0.512454 top_k_accuracy_5=0.739983 | |
| Epoch[39] Batch [200] Speed: 1222.83 samples/sec accuracy=0.506484 top_k_accuracy_5=0.742969 | |
| Epoch[39] Batch [300] Speed: 1223.46 samples/sec accuracy=0.509727 top_k_accuracy_5=0.744766 | |
| Epoch[39] Batch [400] Speed: 1224.28 samples/sec accuracy=0.507539 top_k_accuracy_5=0.742109 | |
| Epoch[39] Batch [500] Speed: 1232.45 samples/sec accuracy=0.513086 top_k_accuracy_5=0.744336 | |
| Epoch[39] Batch [600] Speed: 1237.81 samples/sec accuracy=0.510586 top_k_accuracy_5=0.743203 | |
| Epoch[39] Batch [700] Speed: 1226.77 samples/sec accuracy=0.509531 top_k_accuracy_5=0.739297 | |
| Epoch[39] Batch [800] Speed: 1233.08 samples/sec accuracy=0.507930 top_k_accuracy_5=0.739492 | |
| Epoch[39] Batch [900] Speed: 1233.80 samples/sec accuracy=0.507227 top_k_accuracy_5=0.742188 | |
| Epoch[39] Batch [1000] Speed: 1239.07 samples/sec accuracy=0.509766 top_k_accuracy_5=0.744922 | |
| Epoch[39] Batch [1100] Speed: 1230.90 samples/sec accuracy=0.515195 top_k_accuracy_5=0.745977 | |
| Epoch[39] Batch [1200] Speed: 1232.84 samples/sec accuracy=0.507344 top_k_accuracy_5=0.739414 | |
| Epoch[39] Batch [1300] Speed: 1235.39 samples/sec accuracy=0.506250 top_k_accuracy_5=0.742656 | |
| Epoch[39] Batch [1400] Speed: 1229.15 samples/sec accuracy=0.507695 top_k_accuracy_5=0.742773 | |
| Epoch[39] Batch [1500] Speed: 1233.34 samples/sec accuracy=0.507734 top_k_accuracy_5=0.743906 | |
| Epoch[39] Batch [1600] Speed: 1238.94 samples/sec accuracy=0.507773 top_k_accuracy_5=0.739570 | |
| Epoch[39] Batch [1700] Speed: 1234.30 samples/sec accuracy=0.509961 top_k_accuracy_5=0.746289 | |
| Epoch[39] Batch [1800] Speed: 1231.29 samples/sec accuracy=0.511719 top_k_accuracy_5=0.743398 | |
| Epoch[39] Batch [1900] Speed: 1234.66 samples/sec accuracy=0.513516 top_k_accuracy_5=0.744336 | |
| Epoch[39] Batch [2000] Speed: 1220.57 samples/sec accuracy=0.511133 top_k_accuracy_5=0.741875 | |
| Epoch[39] Batch [2100] Speed: 1234.28 samples/sec accuracy=0.508008 top_k_accuracy_5=0.741758 | |
| Epoch[39] Batch [2200] Speed: 1226.19 samples/sec accuracy=0.509844 top_k_accuracy_5=0.741289 | |
| Epoch[39] Batch [2300] Speed: 1231.02 samples/sec accuracy=0.509687 top_k_accuracy_5=0.742969 | |
| Epoch[39] Batch [2400] Speed: 1227.85 samples/sec accuracy=0.508203 top_k_accuracy_5=0.741797 | |
| Epoch[39] Batch [2500] Speed: 1230.04 samples/sec accuracy=0.511484 top_k_accuracy_5=0.742617 | |
| Epoch[39] Batch [2600] Speed: 1232.85 samples/sec accuracy=0.507773 top_k_accuracy_5=0.745352 | |
| Epoch[39] Batch [2700] Speed: 1228.75 samples/sec accuracy=0.504414 top_k_accuracy_5=0.739219 | |
| Epoch[39] Batch [2800] Speed: 1224.70 samples/sec accuracy=0.510312 top_k_accuracy_5=0.741641 | |
| Epoch[39] Batch [2900] Speed: 1230.16 samples/sec accuracy=0.510859 top_k_accuracy_5=0.743398 | |
| Epoch[39] Batch [3000] Speed: 1237.83 samples/sec accuracy=0.499648 top_k_accuracy_5=0.739531 | |
| Epoch[39] Batch [3100] Speed: 1236.37 samples/sec accuracy=0.507969 top_k_accuracy_5=0.736719 | |
| Epoch[39] Batch [3200] Speed: 1220.04 samples/sec accuracy=0.514727 top_k_accuracy_5=0.745898 | |
| Epoch[39] Batch [3300] Speed: 1227.84 samples/sec accuracy=0.514453 top_k_accuracy_5=0.746484 | |
| Epoch[39] Batch [3400] Speed: 1242.60 samples/sec accuracy=0.512773 top_k_accuracy_5=0.743945 | |
| Epoch[39] Batch [3500] Speed: 1234.96 samples/sec accuracy=0.513398 top_k_accuracy_5=0.746250 | |
| Epoch[39] Batch [3600] Speed: 1232.35 samples/sec accuracy=0.508789 top_k_accuracy_5=0.745820 | |
| Epoch[39] Batch [3700] Speed: 1226.99 samples/sec accuracy=0.509609 top_k_accuracy_5=0.741250 | |
| Epoch[39] Batch [3800] Speed: 1237.53 samples/sec accuracy=0.510000 top_k_accuracy_5=0.746289 | |
| Epoch[39] Batch [3900] Speed: 1227.18 samples/sec accuracy=0.507539 top_k_accuracy_5=0.739648 | |
| Epoch[39] Batch [4000] Speed: 1226.34 samples/sec accuracy=0.513789 top_k_accuracy_5=0.746211 | |
| Epoch[39] Batch [4100] Speed: 1236.58 samples/sec accuracy=0.509531 top_k_accuracy_5=0.742812 | |
| Epoch[39] Batch [4200] Speed: 1233.84 samples/sec accuracy=0.512266 top_k_accuracy_5=0.744648 | |
| Epoch[39] Batch [4300] Speed: 1241.65 samples/sec accuracy=0.512422 top_k_accuracy_5=0.743555 | |
| Epoch[39] Batch [4400] Speed: 1236.55 samples/sec accuracy=0.513555 top_k_accuracy_5=0.748359 | |
| Epoch[39] Batch [4500] Speed: 1219.07 samples/sec accuracy=0.514492 top_k_accuracy_5=0.745781 | |
| Epoch[39] Batch [4600] Speed: 1220.74 samples/sec accuracy=0.511602 top_k_accuracy_5=0.742109 | |
| Epoch[39] Batch [4700] Speed: 1235.45 samples/sec accuracy=0.510508 top_k_accuracy_5=0.741484 | |
| Epoch[39] Batch [4800] Speed: 1229.71 samples/sec accuracy=0.511055 top_k_accuracy_5=0.744297 | |
| Epoch[39] Batch [4900] Speed: 1235.40 samples/sec accuracy=0.514844 top_k_accuracy_5=0.747969 | |
| Epoch[39] Batch [5000] Speed: 1223.39 samples/sec accuracy=0.512422 top_k_accuracy_5=0.743789 | |
| Epoch[39] Train-accuracy=0.483398 | |
| Epoch[39] Train-top_k_accuracy_5=0.717773 | |
| Epoch[39] Time cost=1041.066 | |
| Saved checkpoint to "model/resnet18-0040.params" | |
| Epoch[39] Validation-accuracy=0.523518 | |
| Epoch[39] Validation-top_k_accuracy_5=0.758233 | |
| Epoch[40] Batch [100] Speed: 1231.82 samples/sec accuracy=0.513227 top_k_accuracy_5=0.746364 | |
| Epoch[40] Batch [200] Speed: 1233.26 samples/sec accuracy=0.512031 top_k_accuracy_5=0.743789 | |
| Epoch[40] Batch [300] Speed: 1235.75 samples/sec accuracy=0.512422 top_k_accuracy_5=0.745625 | |
| Epoch[40] Batch [400] Speed: 1260.63 samples/sec accuracy=0.504961 top_k_accuracy_5=0.737344 | |
| Epoch[40] Batch [500] Speed: 1258.18 samples/sec accuracy=0.508516 top_k_accuracy_5=0.747148 | |
| Epoch[40] Batch [600] Speed: 1259.40 samples/sec accuracy=0.513047 top_k_accuracy_5=0.744258 | |
| Epoch[40] Batch [700] Speed: 1232.72 samples/sec accuracy=0.511914 top_k_accuracy_5=0.741484 | |
| Epoch[40] Batch [800] Speed: 1258.79 samples/sec accuracy=0.507734 top_k_accuracy_5=0.740352 | |
| Epoch[40] Batch [900] Speed: 1234.65 samples/sec accuracy=0.506172 top_k_accuracy_5=0.743750 | |
| Epoch[40] Batch [1000] Speed: 1245.82 samples/sec accuracy=0.507148 top_k_accuracy_5=0.742969 | |
| Epoch[40] Batch [1100] Speed: 1250.19 samples/sec accuracy=0.510586 top_k_accuracy_5=0.745547 | |
| Epoch[40] Batch [1200] Speed: 1244.23 samples/sec accuracy=0.512344 top_k_accuracy_5=0.742852 | |
| Epoch[40] Batch [1300] Speed: 1239.40 samples/sec accuracy=0.510039 top_k_accuracy_5=0.744414 | |
| Epoch[40] Batch [1400] Speed: 1245.60 samples/sec accuracy=0.511484 top_k_accuracy_5=0.745117 | |
| Epoch[40] Batch [1500] Speed: 1248.01 samples/sec accuracy=0.508086 top_k_accuracy_5=0.740234 | |
| Epoch[40] Batch [1600] Speed: 1251.76 samples/sec accuracy=0.506680 top_k_accuracy_5=0.742539 | |
| Epoch[40] Batch [1700] Speed: 1242.07 samples/sec accuracy=0.511406 top_k_accuracy_5=0.741875 | |
| Epoch[40] Batch [1800] Speed: 1253.20 samples/sec accuracy=0.507578 top_k_accuracy_5=0.742383 | |
| Epoch[40] Batch [1900] Speed: 1248.03 samples/sec accuracy=0.513906 top_k_accuracy_5=0.743984 | |
| Epoch[40] Batch [2000] Speed: 1240.97 samples/sec accuracy=0.514570 top_k_accuracy_5=0.743477 | |
| Epoch[40] Batch [2100] Speed: 1243.53 samples/sec accuracy=0.509258 top_k_accuracy_5=0.745039 | |
| Epoch[40] Batch [2200] Speed: 1252.86 samples/sec accuracy=0.507734 top_k_accuracy_5=0.739102 | |
| Epoch[40] Batch [2300] Speed: 1242.05 samples/sec accuracy=0.506445 top_k_accuracy_5=0.741055 | |
| Epoch[40] Batch [2400] Speed: 1237.26 samples/sec accuracy=0.507617 top_k_accuracy_5=0.743359 | |
| Epoch[40] Batch [2500] Speed: 1251.32 samples/sec accuracy=0.513555 top_k_accuracy_5=0.746992 | |
| Epoch[40] Batch [2600] Speed: 1232.37 samples/sec accuracy=0.508984 top_k_accuracy_5=0.745742 | |
| Epoch[40] Batch [2700] Speed: 1237.00 samples/sec accuracy=0.512539 top_k_accuracy_5=0.743516 | |
| Epoch[40] Batch [2800] Speed: 1244.47 samples/sec accuracy=0.514922 top_k_accuracy_5=0.745000 | |
| Epoch[40] Batch [2900] Speed: 1248.66 samples/sec accuracy=0.510938 top_k_accuracy_5=0.741953 | |
| Epoch[40] Batch [3000] Speed: 1242.73 samples/sec accuracy=0.504023 top_k_accuracy_5=0.739375 | |
| Epoch[40] Batch [3100] Speed: 1238.87 samples/sec accuracy=0.507852 top_k_accuracy_5=0.738789 | |
| Epoch[40] Batch [3200] Speed: 1241.63 samples/sec accuracy=0.514922 top_k_accuracy_5=0.748906 | |
| Epoch[40] Batch [3300] Speed: 1244.20 samples/sec accuracy=0.508359 top_k_accuracy_5=0.740547 | |
| Epoch[40] Batch [3400] Speed: 1242.09 samples/sec accuracy=0.513867 top_k_accuracy_5=0.744766 | |
| Epoch[40] Batch [3500] Speed: 1239.28 samples/sec accuracy=0.512500 top_k_accuracy_5=0.743594 | |
| Epoch[40] Batch [3600] Speed: 1242.45 samples/sec accuracy=0.511602 top_k_accuracy_5=0.743906 | |
| Epoch[40] Batch [3700] Speed: 1248.64 samples/sec accuracy=0.509297 top_k_accuracy_5=0.743945 | |
| Epoch[40] Batch [3800] Speed: 1248.05 samples/sec accuracy=0.515391 top_k_accuracy_5=0.743203 | |
| Epoch[40] Batch [3900] Speed: 1258.18 samples/sec accuracy=0.507969 top_k_accuracy_5=0.744648 | |
| Epoch[40] Batch [4000] Speed: 1237.57 samples/sec accuracy=0.517188 top_k_accuracy_5=0.747422 | |
| Epoch[40] Batch [4100] Speed: 1245.00 samples/sec accuracy=0.508633 top_k_accuracy_5=0.743984 | |
| Epoch[40] Batch [4200] Speed: 1244.90 samples/sec accuracy=0.514492 top_k_accuracy_5=0.747656 | |
| Epoch[40] Batch [4300] Speed: 1252.10 samples/sec accuracy=0.508398 top_k_accuracy_5=0.742188 | |
| Epoch[40] Batch [4400] Speed: 1240.95 samples/sec accuracy=0.518945 top_k_accuracy_5=0.747812 | |
| Epoch[40] Batch [4500] Speed: 1242.68 samples/sec accuracy=0.508125 top_k_accuracy_5=0.742578 | |
| Epoch[40] Batch [4600] Speed: 1249.11 samples/sec accuracy=0.508633 top_k_accuracy_5=0.744297 | |
| Epoch[40] Batch [4700] Speed: 1238.79 samples/sec accuracy=0.511953 top_k_accuracy_5=0.745859 | |
| Epoch[40] Batch [4800] Speed: 1236.14 samples/sec accuracy=0.509453 top_k_accuracy_5=0.744062 | |
| Epoch[40] Batch [4900] Speed: 1246.47 samples/sec accuracy=0.519766 top_k_accuracy_5=0.748789 | |
| Epoch[40] Batch [5000] Speed: 1238.65 samples/sec accuracy=0.513203 top_k_accuracy_5=0.743398 | |
| Epoch[40] Train-accuracy=0.507812 | |
| Epoch[40] Train-top_k_accuracy_5=0.730469 | |
| Epoch[40] Time cost=1029.739 | |
| Saved checkpoint to "model/resnet18-0041.params" | |
| Epoch[40] Validation-accuracy=0.522716 | |
| Epoch[40] Validation-top_k_accuracy_5=0.758514 | |
| Epoch[41] Batch [100] Speed: 1245.61 samples/sec accuracy=0.515045 top_k_accuracy_5=0.747873 | |
| Epoch[41] Batch [200] Speed: 1230.20 samples/sec accuracy=0.509180 top_k_accuracy_5=0.743008 | |
| Epoch[41] Batch [300] Speed: 1225.09 samples/sec accuracy=0.511914 top_k_accuracy_5=0.740625 | |
| Epoch[41] Batch [400] Speed: 1248.51 samples/sec accuracy=0.510391 top_k_accuracy_5=0.743437 | |
| Epoch[41] Batch [500] Speed: 1259.31 samples/sec accuracy=0.516992 top_k_accuracy_5=0.744180 | |
| Epoch[41] Batch [600] Speed: 1254.01 samples/sec accuracy=0.509609 top_k_accuracy_5=0.744414 | |
| Epoch[41] Batch [700] Speed: 1245.88 samples/sec accuracy=0.506445 top_k_accuracy_5=0.740039 | |
| Epoch[41] Batch [800] Speed: 1237.78 samples/sec accuracy=0.509062 top_k_accuracy_5=0.739297 | |
| Epoch[41] Batch [900] Speed: 1249.28 samples/sec accuracy=0.507812 top_k_accuracy_5=0.742812 | |
| Epoch[41] Batch [1000] Speed: 1247.24 samples/sec accuracy=0.510195 top_k_accuracy_5=0.746406 | |
| Epoch[41] Batch [1100] Speed: 1255.55 samples/sec accuracy=0.514258 top_k_accuracy_5=0.747383 | |
| Epoch[41] Batch [1200] Speed: 1244.70 samples/sec accuracy=0.513516 top_k_accuracy_5=0.746055 | |
| Epoch[41] Batch [1300] Speed: 1217.85 samples/sec accuracy=0.512539 top_k_accuracy_5=0.742734 | |
| Epoch[41] Batch [1400] Speed: 1235.79 samples/sec accuracy=0.513945 top_k_accuracy_5=0.745469 | |
| Epoch[41] Batch [1500] Speed: 1238.47 samples/sec accuracy=0.509258 top_k_accuracy_5=0.741016 | |
| Epoch[41] Batch [1600] Speed: 1220.79 samples/sec accuracy=0.505664 top_k_accuracy_5=0.742617 | |
| Epoch[41] Batch [1700] Speed: 1226.74 samples/sec accuracy=0.514766 top_k_accuracy_5=0.747578 | |
| Epoch[41] Batch [1800] Speed: 1230.54 samples/sec accuracy=0.509492 top_k_accuracy_5=0.744297 | |
| Epoch[41] Batch [1900] Speed: 1235.86 samples/sec accuracy=0.509687 top_k_accuracy_5=0.746484 | |
| Epoch[41] Batch [2000] Speed: 1226.86 samples/sec accuracy=0.509453 top_k_accuracy_5=0.742031 | |
| Epoch[41] Batch [2100] Speed: 1233.01 samples/sec accuracy=0.509766 top_k_accuracy_5=0.743203 | |
| Epoch[41] Batch [2200] Speed: 1221.46 samples/sec accuracy=0.512383 top_k_accuracy_5=0.745117 | |
| Epoch[41] Batch [2300] Speed: 1228.19 samples/sec accuracy=0.510469 top_k_accuracy_5=0.744062 | |
| Epoch[41] Batch [2400] Speed: 1221.28 samples/sec accuracy=0.510586 top_k_accuracy_5=0.740586 | |
| Epoch[41] Batch [2500] Speed: 1231.38 samples/sec accuracy=0.508789 top_k_accuracy_5=0.743750 | |
| Epoch[41] Batch [2600] Speed: 1230.38 samples/sec accuracy=0.509102 top_k_accuracy_5=0.741133 | |
| Epoch[41] Batch [2700] Speed: 1223.63 samples/sec accuracy=0.509492 top_k_accuracy_5=0.744023 | |
| Epoch[41] Batch [2800] Speed: 1222.51 samples/sec accuracy=0.513789 top_k_accuracy_5=0.745938 | |
| Epoch[41] Batch [2900] Speed: 1223.04 samples/sec accuracy=0.514961 top_k_accuracy_5=0.746836 | |
| Epoch[41] Batch [3000] Speed: 1231.45 samples/sec accuracy=0.503945 top_k_accuracy_5=0.737656 | |
| Epoch[41] Batch [3100] Speed: 1220.11 samples/sec accuracy=0.508984 top_k_accuracy_5=0.741758 | |
| Epoch[41] Batch [3200] Speed: 1228.37 samples/sec accuracy=0.516094 top_k_accuracy_5=0.748008 | |
| Epoch[41] Batch [3300] Speed: 1233.41 samples/sec accuracy=0.510078 top_k_accuracy_5=0.744102 | |
| Epoch[41] Batch [3400] Speed: 1226.07 samples/sec accuracy=0.513242 top_k_accuracy_5=0.745625 | |
| Epoch[41] Batch [3500] Speed: 1214.71 samples/sec accuracy=0.514375 top_k_accuracy_5=0.741953 | |
| Epoch[41] Batch [3600] Speed: 1236.20 samples/sec accuracy=0.507500 top_k_accuracy_5=0.741992 | |
| Epoch[41] Batch [3700] Speed: 1230.59 samples/sec accuracy=0.514219 top_k_accuracy_5=0.746641 | |
| Epoch[41] Batch [3800] Speed: 1226.66 samples/sec accuracy=0.512773 top_k_accuracy_5=0.744219 | |
| Epoch[41] Batch [3900] Speed: 1220.27 samples/sec accuracy=0.511211 top_k_accuracy_5=0.741641 | |
| Epoch[41] Batch [4000] Speed: 1224.91 samples/sec accuracy=0.517617 top_k_accuracy_5=0.748984 | |
| Epoch[41] Batch [4100] Speed: 1218.13 samples/sec accuracy=0.506992 top_k_accuracy_5=0.742305 | |
| Epoch[41] Batch [4200] Speed: 1224.27 samples/sec accuracy=0.513594 top_k_accuracy_5=0.742773 | |
| Epoch[41] Batch [4300] Speed: 1227.88 samples/sec accuracy=0.515938 top_k_accuracy_5=0.743867 | |
| Epoch[41] Batch [4400] Speed: 1229.24 samples/sec accuracy=0.508437 top_k_accuracy_5=0.747969 | |
| Epoch[41] Batch [4500] Speed: 1225.95 samples/sec accuracy=0.512969 top_k_accuracy_5=0.746914 | |
| Epoch[41] Batch [4600] Speed: 1230.44 samples/sec accuracy=0.511602 top_k_accuracy_5=0.747617 | |
| Epoch[41] Batch [4700] Speed: 1224.47 samples/sec accuracy=0.515352 top_k_accuracy_5=0.746367 | |
| Epoch[41] Batch [4800] Speed: 1218.42 samples/sec accuracy=0.507930 top_k_accuracy_5=0.744727 | |
| Epoch[41] Batch [4900] Speed: 1224.25 samples/sec accuracy=0.513828 top_k_accuracy_5=0.748555 | |
| Epoch[41] Batch [5000] Speed: 1229.87 samples/sec accuracy=0.511641 top_k_accuracy_5=0.742461 | |
| Epoch[41] Train-accuracy=0.497070 | |
| Epoch[41] Train-top_k_accuracy_5=0.750000 | |
| Epoch[41] Time cost=1041.176 | |
| Saved checkpoint to "model/resnet18-0042.params" | |
| Epoch[41] Validation-accuracy=0.524195 | |
| Epoch[41] Validation-top_k_accuracy_5=0.758988 | |
| Epoch[42] Batch [100] Speed: 1229.80 samples/sec accuracy=0.515122 top_k_accuracy_5=0.749381 | |
| Epoch[42] Batch [200] Speed: 1217.58 samples/sec accuracy=0.511094 top_k_accuracy_5=0.739531 | |
| Epoch[42] Batch [300] Speed: 1225.62 samples/sec accuracy=0.510938 top_k_accuracy_5=0.747305 | |
| Epoch[42] Batch [400] Speed: 1233.96 samples/sec accuracy=0.507031 top_k_accuracy_5=0.738789 | |
| Epoch[42] Batch [500] Speed: 1218.24 samples/sec accuracy=0.513594 top_k_accuracy_5=0.744805 | |
| Epoch[42] Batch [600] Speed: 1227.46 samples/sec accuracy=0.511445 top_k_accuracy_5=0.744844 | |
| Epoch[42] Batch [700] Speed: 1233.71 samples/sec accuracy=0.507891 top_k_accuracy_5=0.742344 | |
| Epoch[42] Batch [800] Speed: 1220.29 samples/sec accuracy=0.511445 top_k_accuracy_5=0.743320 | |
| Epoch[42] Batch [900] Speed: 1227.42 samples/sec accuracy=0.509375 top_k_accuracy_5=0.744766 | |
| Epoch[42] Batch [1000] Speed: 1229.23 samples/sec accuracy=0.511055 top_k_accuracy_5=0.741133 | |
| Epoch[42] Batch [1100] Speed: 1224.47 samples/sec accuracy=0.516406 top_k_accuracy_5=0.744219 | |
| Epoch[42] Batch [1200] Speed: 1219.97 samples/sec accuracy=0.512461 top_k_accuracy_5=0.743437 | |
| Epoch[42] Batch [1300] Speed: 1229.38 samples/sec accuracy=0.507188 top_k_accuracy_5=0.739531 | |
| Epoch[42] Batch [1400] Speed: 1222.58 samples/sec accuracy=0.510664 top_k_accuracy_5=0.744531 | |
| Epoch[42] Batch [1500] Speed: 1232.53 samples/sec accuracy=0.506641 top_k_accuracy_5=0.735938 | |
| Epoch[42] Batch [1600] Speed: 1224.74 samples/sec accuracy=0.506953 top_k_accuracy_5=0.739570 | |
| Epoch[42] Batch [1700] Speed: 1239.74 samples/sec accuracy=0.514297 top_k_accuracy_5=0.742930 | |
| Epoch[42] Batch [1800] Speed: 1228.04 samples/sec accuracy=0.508594 top_k_accuracy_5=0.743164 | |
| Epoch[42] Batch [1900] Speed: 1233.73 samples/sec accuracy=0.510977 top_k_accuracy_5=0.743789 | |
| Epoch[42] Batch [2000] Speed: 1232.47 samples/sec accuracy=0.513086 top_k_accuracy_5=0.747969 | |
| Epoch[42] Batch [2100] Speed: 1224.89 samples/sec accuracy=0.512773 top_k_accuracy_5=0.741914 | |
| Epoch[42] Batch [2200] Speed: 1221.83 samples/sec accuracy=0.508477 top_k_accuracy_5=0.744180 | |
| Epoch[42] Batch [2300] Speed: 1229.62 samples/sec accuracy=0.506875 top_k_accuracy_5=0.741328 | |
| Epoch[42] Batch [2400] Speed: 1233.44 samples/sec accuracy=0.510547 top_k_accuracy_5=0.744531 | |
| Epoch[42] Batch [2500] Speed: 1231.01 samples/sec accuracy=0.507773 top_k_accuracy_5=0.741328 | |
| Epoch[42] Batch [2600] Speed: 1224.24 samples/sec accuracy=0.510078 top_k_accuracy_5=0.745078 | |
| Epoch[42] Batch [2700] Speed: 1230.46 samples/sec accuracy=0.510938 top_k_accuracy_5=0.740039 | |
| Epoch[42] Batch [2800] Speed: 1230.24 samples/sec accuracy=0.510508 top_k_accuracy_5=0.745078 | |
| Epoch[42] Batch [2900] Speed: 1231.23 samples/sec accuracy=0.514219 top_k_accuracy_5=0.745664 | |
| Epoch[42] Batch [3000] Speed: 1231.93 samples/sec accuracy=0.506797 top_k_accuracy_5=0.745469 | |
| Epoch[42] Batch [3100] Speed: 1232.94 samples/sec accuracy=0.506680 top_k_accuracy_5=0.743359 | |
| Epoch[42] Batch [3200] Speed: 1225.67 samples/sec accuracy=0.515898 top_k_accuracy_5=0.746875 | |
| Epoch[42] Batch [3300] Speed: 1229.68 samples/sec accuracy=0.508867 top_k_accuracy_5=0.745039 | |
| Epoch[42] Batch [3400] Speed: 1238.32 samples/sec accuracy=0.511133 top_k_accuracy_5=0.744180 | |
| Epoch[42] Batch [3500] Speed: 1231.01 samples/sec accuracy=0.513477 top_k_accuracy_5=0.742500 | |
| Epoch[42] Batch [3600] Speed: 1222.65 samples/sec accuracy=0.513320 top_k_accuracy_5=0.743828 | |
| Epoch[42] Batch [3700] Speed: 1253.02 samples/sec accuracy=0.510078 top_k_accuracy_5=0.740820 | |
| Epoch[42] Batch [3800] Speed: 1233.34 samples/sec accuracy=0.514805 top_k_accuracy_5=0.744531 | |
| Epoch[42] Batch [3900] Speed: 1229.12 samples/sec accuracy=0.510742 top_k_accuracy_5=0.741328 | |
| Epoch[42] Batch [4000] Speed: 1228.47 samples/sec accuracy=0.517734 top_k_accuracy_5=0.747383 | |
| Epoch[42] Batch [4100] Speed: 1230.16 samples/sec accuracy=0.508047 top_k_accuracy_5=0.741836 | |
| Epoch[42] Batch [4200] Speed: 1222.02 samples/sec accuracy=0.510117 top_k_accuracy_5=0.746367 | |
| Epoch[42] Batch [4300] Speed: 1231.05 samples/sec accuracy=0.513398 top_k_accuracy_5=0.746563 | |
| Epoch[42] Batch [4400] Speed: 1235.85 samples/sec accuracy=0.512305 top_k_accuracy_5=0.743594 | |
| Epoch[42] Batch [4500] Speed: 1235.66 samples/sec accuracy=0.509961 top_k_accuracy_5=0.744805 | |
| Epoch[42] Batch [4600] Speed: 1232.48 samples/sec accuracy=0.507070 top_k_accuracy_5=0.742227 | |
| Epoch[42] Batch [4700] Speed: 1227.63 samples/sec accuracy=0.512188 top_k_accuracy_5=0.746914 | |
| Epoch[42] Batch [4800] Speed: 1230.27 samples/sec accuracy=0.513203 top_k_accuracy_5=0.745898 | |
| Epoch[42] Batch [4900] Speed: 1230.57 samples/sec accuracy=0.517891 top_k_accuracy_5=0.751328 | |
| Epoch[42] Batch [5000] Speed: 1225.60 samples/sec accuracy=0.511445 top_k_accuracy_5=0.741445 | |
| Epoch[42] Train-accuracy=0.495117 | |
| Epoch[42] Train-top_k_accuracy_5=0.745117 | |
| Epoch[42] Time cost=1042.789 | |
| Saved checkpoint to "model/resnet18-0043.params" | |
| Epoch[42] Validation-accuracy=0.522616 | |
| Epoch[42] Validation-top_k_accuracy_5=0.759075 | |
| Epoch[43] Batch [100] Speed: 1234.67 samples/sec accuracy=0.516631 top_k_accuracy_5=0.747641 | |
| Epoch[43] Batch [200] Speed: 1225.55 samples/sec accuracy=0.511250 top_k_accuracy_5=0.744375 | |
| Epoch[43] Batch [300] Speed: 1234.82 samples/sec accuracy=0.510820 top_k_accuracy_5=0.746680 | |
| Epoch[43] Batch [400] Speed: 1238.78 samples/sec accuracy=0.507773 top_k_accuracy_5=0.739727 | |
| Epoch[43] Batch [500] Speed: 1245.96 samples/sec accuracy=0.509766 top_k_accuracy_5=0.747969 | |
| Epoch[43] Batch [600] Speed: 1239.87 samples/sec accuracy=0.509961 top_k_accuracy_5=0.743516 | |
| Epoch[43] Batch [700] Speed: 1233.77 samples/sec accuracy=0.510625 top_k_accuracy_5=0.742852 | |
| Epoch[43] Batch [800] Speed: 1234.54 samples/sec accuracy=0.509883 top_k_accuracy_5=0.740000 | |
| Epoch[43] Batch [900] Speed: 1231.69 samples/sec accuracy=0.511641 top_k_accuracy_5=0.745078 | |
| Epoch[43] Batch [1000] Speed: 1230.22 samples/sec accuracy=0.509297 top_k_accuracy_5=0.741641 | |
| Epoch[43] Batch [1100] Speed: 1231.96 samples/sec accuracy=0.512188 top_k_accuracy_5=0.746055 | |
| Epoch[43] Batch [1200] Speed: 1238.61 samples/sec accuracy=0.511641 top_k_accuracy_5=0.741133 | |
| Epoch[43] Batch [1300] Speed: 1234.88 samples/sec accuracy=0.506719 top_k_accuracy_5=0.741445 | |
| Epoch[43] Batch [1400] Speed: 1229.91 samples/sec accuracy=0.511406 top_k_accuracy_5=0.743281 | |
| Epoch[43] Batch [1500] Speed: 1220.70 samples/sec accuracy=0.511992 top_k_accuracy_5=0.742031 | |
| Epoch[43] Batch [1600] Speed: 1230.99 samples/sec accuracy=0.507188 top_k_accuracy_5=0.741719 | |
| Epoch[43] Batch [1700] Speed: 1224.80 samples/sec accuracy=0.506328 top_k_accuracy_5=0.740000 | |
| Epoch[43] Batch [1800] Speed: 1220.50 samples/sec accuracy=0.509766 top_k_accuracy_5=0.743516 | |
| Epoch[43] Batch [1900] Speed: 1224.61 samples/sec accuracy=0.512734 top_k_accuracy_5=0.741914 | |
| Epoch[43] Batch [2000] Speed: 1216.67 samples/sec accuracy=0.509609 top_k_accuracy_5=0.746641 | |
| Epoch[43] Batch [2100] Speed: 1235.02 samples/sec accuracy=0.506055 top_k_accuracy_5=0.740977 | |
| Epoch[43] Batch [2200] Speed: 1219.07 samples/sec accuracy=0.507539 top_k_accuracy_5=0.743750 | |
| Epoch[43] Batch [2300] Speed: 1225.65 samples/sec accuracy=0.507266 top_k_accuracy_5=0.739805 | |
| Epoch[43] Batch [2400] Speed: 1227.32 samples/sec accuracy=0.510273 top_k_accuracy_5=0.739766 | |
| Epoch[43] Batch [2500] Speed: 1219.58 samples/sec accuracy=0.508906 top_k_accuracy_5=0.744297 | |
| Epoch[43] Batch [2600] Speed: 1226.62 samples/sec accuracy=0.506445 top_k_accuracy_5=0.744297 | |
| Epoch[43] Batch [2700] Speed: 1212.12 samples/sec accuracy=0.514336 top_k_accuracy_5=0.745625 | |
| Epoch[43] Batch [2800] Speed: 1211.81 samples/sec accuracy=0.506875 top_k_accuracy_5=0.741875 | |
| Epoch[43] Batch [2900] Speed: 1217.44 samples/sec accuracy=0.513125 top_k_accuracy_5=0.743203 | |
| Epoch[43] Batch [3000] Speed: 1213.60 samples/sec accuracy=0.504961 top_k_accuracy_5=0.740898 | |
| Epoch[43] Batch [3100] Speed: 1223.47 samples/sec accuracy=0.508984 top_k_accuracy_5=0.741016 | |
| Epoch[43] Batch [3200] Speed: 1221.35 samples/sec accuracy=0.517266 top_k_accuracy_5=0.750469 | |
| Epoch[43] Batch [3300] Speed: 1210.54 samples/sec accuracy=0.517656 top_k_accuracy_5=0.741367 | |
| Epoch[43] Batch [3400] Speed: 1224.65 samples/sec accuracy=0.509023 top_k_accuracy_5=0.744844 | |
| Epoch[43] Batch [3500] Speed: 1222.47 samples/sec accuracy=0.507891 top_k_accuracy_5=0.741641 | |
| Epoch[43] Batch [3600] Speed: 1216.55 samples/sec accuracy=0.503633 top_k_accuracy_5=0.739023 | |
| Epoch[43] Batch [3700] Speed: 1224.03 samples/sec accuracy=0.514336 top_k_accuracy_5=0.746758 | |
| Epoch[43] Batch [3800] Speed: 1222.79 samples/sec accuracy=0.512344 top_k_accuracy_5=0.745703 | |
| Epoch[43] Batch [3900] Speed: 1216.62 samples/sec accuracy=0.511602 top_k_accuracy_5=0.742656 | |
| Epoch[43] Batch [4000] Speed: 1213.12 samples/sec accuracy=0.517969 top_k_accuracy_5=0.744922 | |
| Epoch[43] Batch [4100] Speed: 1217.62 samples/sec accuracy=0.505234 top_k_accuracy_5=0.740547 | |
| Epoch[43] Batch [4200] Speed: 1218.61 samples/sec accuracy=0.508555 top_k_accuracy_5=0.742266 | |
| Epoch[43] Batch [4300] Speed: 1219.05 samples/sec accuracy=0.509219 top_k_accuracy_5=0.739766 | |
| Epoch[43] Batch [4400] Speed: 1216.33 samples/sec accuracy=0.517344 top_k_accuracy_5=0.748086 | |
| Epoch[43] Batch [4500] Speed: 1213.00 samples/sec accuracy=0.511953 top_k_accuracy_5=0.749687 | |
| Epoch[43] Batch [4600] Speed: 1221.65 samples/sec accuracy=0.515000 top_k_accuracy_5=0.744414 | |
| Epoch[43] Batch [4700] Speed: 1229.67 samples/sec accuracy=0.509102 top_k_accuracy_5=0.741992 | |
| Epoch[43] Batch [4800] Speed: 1229.19 samples/sec accuracy=0.511016 top_k_accuracy_5=0.743477 | |
| Epoch[43] Batch [4900] Speed: 1219.66 samples/sec accuracy=0.511875 top_k_accuracy_5=0.745977 | |
| Epoch[43] Batch [5000] Speed: 1233.24 samples/sec accuracy=0.508008 top_k_accuracy_5=0.744375 | |
| Epoch[43] Train-accuracy=0.501302 | |
| Epoch[43] Train-top_k_accuracy_5=0.722656 | |
| Epoch[43] Time cost=1046.307 | |
| Saved checkpoint to "model/resnet18-0044.params" | |
| Epoch[43] Validation-accuracy=0.519892 | |
| Epoch[43] Validation-top_k_accuracy_5=0.757452 | |
| Epoch[44] Batch [100] Speed: 1222.12 samples/sec accuracy=0.514078 top_k_accuracy_5=0.747718 | |
| Epoch[44] Batch [200] Speed: 1223.57 samples/sec accuracy=0.513711 top_k_accuracy_5=0.747812 | |
| Epoch[44] Batch [300] Speed: 1219.09 samples/sec accuracy=0.513789 top_k_accuracy_5=0.745039 | |
| Epoch[44] Batch [400] Speed: 1215.95 samples/sec accuracy=0.507812 top_k_accuracy_5=0.742852 | |
| Epoch[44] Batch [500] Speed: 1209.28 samples/sec accuracy=0.511875 top_k_accuracy_5=0.749062 | |
| Epoch[44] Batch [600] Speed: 1220.61 samples/sec accuracy=0.511914 top_k_accuracy_5=0.743633 | |
| Epoch[44] Batch [700] Speed: 1226.14 samples/sec accuracy=0.508125 top_k_accuracy_5=0.738633 | |
| Epoch[44] Batch [800] Speed: 1218.56 samples/sec accuracy=0.505664 top_k_accuracy_5=0.739727 | |
| Epoch[44] Batch [900] Speed: 1218.42 samples/sec accuracy=0.511055 top_k_accuracy_5=0.746836 | |
| Epoch[44] Batch [1000] Speed: 1231.51 samples/sec accuracy=0.508164 top_k_accuracy_5=0.743242 | |
| Epoch[44] Batch [1100] Speed: 1212.01 samples/sec accuracy=0.513086 top_k_accuracy_5=0.745859 | |
| Epoch[44] Batch [1200] Speed: 1206.74 samples/sec accuracy=0.514531 top_k_accuracy_5=0.745898 | |
| Epoch[44] Batch [1300] Speed: 1220.89 samples/sec accuracy=0.509648 top_k_accuracy_5=0.742578 | |
| Epoch[44] Batch [1400] Speed: 1217.36 samples/sec accuracy=0.511250 top_k_accuracy_5=0.746289 | |
| Epoch[44] Batch [1500] Speed: 1217.48 samples/sec accuracy=0.510430 top_k_accuracy_5=0.746484 | |
| Epoch[44] Batch [1600] Speed: 1220.49 samples/sec accuracy=0.510938 top_k_accuracy_5=0.743555 | |
| Epoch[44] Batch [1700] Speed: 1223.41 samples/sec accuracy=0.509922 top_k_accuracy_5=0.746328 | |
| Epoch[44] Batch [1800] Speed: 1219.07 samples/sec accuracy=0.508828 top_k_accuracy_5=0.740547 | |
| Epoch[44] Batch [1900] Speed: 1218.54 samples/sec accuracy=0.512148 top_k_accuracy_5=0.743242 | |
| Epoch[44] Batch [2000] Speed: 1211.15 samples/sec accuracy=0.508672 top_k_accuracy_5=0.744766 | |
| Epoch[44] Batch [2100] Speed: 1224.68 samples/sec accuracy=0.503633 top_k_accuracy_5=0.742930 | |
| Epoch[44] Batch [2200] Speed: 1226.64 samples/sec accuracy=0.515273 top_k_accuracy_5=0.743516 | |
| Epoch[44] Batch [2300] Speed: 1220.03 samples/sec accuracy=0.507930 top_k_accuracy_5=0.746172 | |
| Epoch[44] Batch [2400] Speed: 1225.83 samples/sec accuracy=0.508672 top_k_accuracy_5=0.740742 | |
| Epoch[44] Batch [2500] Speed: 1223.42 samples/sec accuracy=0.510664 top_k_accuracy_5=0.743555 | |
| Epoch[44] Batch [2600] Speed: 1213.23 samples/sec accuracy=0.511797 top_k_accuracy_5=0.746680 | |
| Epoch[44] Batch [2700] Speed: 1217.15 samples/sec accuracy=0.512617 top_k_accuracy_5=0.742500 | |
| Epoch[44] Batch [2800] Speed: 1219.29 samples/sec accuracy=0.511758 top_k_accuracy_5=0.743594 | |
| Epoch[44] Batch [2900] Speed: 1204.08 samples/sec accuracy=0.512734 top_k_accuracy_5=0.739570 | |
| Epoch[44] Batch [3000] Speed: 1225.46 samples/sec accuracy=0.506133 top_k_accuracy_5=0.741133 | |
| Epoch[44] Batch [3100] Speed: 1236.27 samples/sec accuracy=0.510352 top_k_accuracy_5=0.741953 | |
| Epoch[44] Batch [3200] Speed: 1219.49 samples/sec accuracy=0.518906 top_k_accuracy_5=0.748711 | |
| Epoch[44] Batch [3300] Speed: 1224.29 samples/sec accuracy=0.506406 top_k_accuracy_5=0.739688 | |
| Epoch[44] Batch [3400] Speed: 1229.06 samples/sec accuracy=0.518633 top_k_accuracy_5=0.747188 | |
| Epoch[44] Batch [3500] Speed: 1223.86 samples/sec accuracy=0.514414 top_k_accuracy_5=0.744766 | |
| Epoch[44] Batch [3600] Speed: 1225.56 samples/sec accuracy=0.511133 top_k_accuracy_5=0.745352 | |
| Epoch[44] Batch [3700] Speed: 1217.00 samples/sec accuracy=0.509961 top_k_accuracy_5=0.742734 | |
| Epoch[44] Batch [3800] Speed: 1222.13 samples/sec accuracy=0.515117 top_k_accuracy_5=0.746836 | |
| Epoch[44] Batch [3900] Speed: 1216.18 samples/sec accuracy=0.508906 top_k_accuracy_5=0.742188 | |
| Epoch[44] Batch [4000] Speed: 1237.27 samples/sec accuracy=0.517031 top_k_accuracy_5=0.748437 | |
| Epoch[44] Batch [4100] Speed: 1220.38 samples/sec accuracy=0.509375 top_k_accuracy_5=0.745195 | |
| Epoch[44] Batch [4200] Speed: 1217.86 samples/sec accuracy=0.514844 top_k_accuracy_5=0.744219 | |
| Epoch[44] Batch [4300] Speed: 1213.06 samples/sec accuracy=0.511992 top_k_accuracy_5=0.739023 | |
| Epoch[44] Batch [4400] Speed: 1211.65 samples/sec accuracy=0.512422 top_k_accuracy_5=0.747305 | |
| Epoch[44] Batch [4500] Speed: 1223.51 samples/sec accuracy=0.515820 top_k_accuracy_5=0.747188 | |
| Epoch[44] Batch [4600] Speed: 1211.67 samples/sec accuracy=0.510977 top_k_accuracy_5=0.745547 | |
| Epoch[44] Batch [4700] Speed: 1210.79 samples/sec accuracy=0.512305 top_k_accuracy_5=0.746484 | |
| Epoch[44] Batch [4800] Speed: 1212.36 samples/sec accuracy=0.516172 top_k_accuracy_5=0.743359 | |
| Epoch[44] Batch [4900] Speed: 1223.67 samples/sec accuracy=0.514961 top_k_accuracy_5=0.750898 | |
| Epoch[44] Batch [5000] Speed: 1221.83 samples/sec accuracy=0.513008 top_k_accuracy_5=0.747617 | |
| Epoch[44] Train-accuracy=0.511719 | |
| Epoch[44] Train-top_k_accuracy_5=0.734375 | |
| Epoch[44] Time cost=1050.881 | |
| Saved checkpoint to "model/resnet18-0045.params" | |
| Epoch[44] Validation-accuracy=0.517817 | |
| Epoch[44] Validation-top_k_accuracy_5=0.755142 | |
| Epoch[45] Batch [100] Speed: 1222.31 samples/sec accuracy=0.514465 top_k_accuracy_5=0.744547 | |
| Epoch[45] Batch [200] Speed: 1223.07 samples/sec accuracy=0.509844 top_k_accuracy_5=0.741602 | |
| Epoch[45] Batch [300] Speed: 1228.61 samples/sec accuracy=0.514258 top_k_accuracy_5=0.749023 | |
| Epoch[45] Batch [400] Speed: 1226.46 samples/sec accuracy=0.504375 top_k_accuracy_5=0.741523 | |
| Epoch[45] Batch [500] Speed: 1253.00 samples/sec accuracy=0.509883 top_k_accuracy_5=0.745664 | |
| Epoch[45] Batch [600] Speed: 1237.12 samples/sec accuracy=0.515039 top_k_accuracy_5=0.744180 | |
| Epoch[45] Batch [700] Speed: 1237.98 samples/sec accuracy=0.505117 top_k_accuracy_5=0.740078 | |
| Epoch[45] Batch [800] Speed: 1228.66 samples/sec accuracy=0.508594 top_k_accuracy_5=0.741563 | |
| Epoch[45] Batch [900] Speed: 1238.02 samples/sec accuracy=0.507812 top_k_accuracy_5=0.741914 | |
| Epoch[45] Batch [1000] Speed: 1239.24 samples/sec accuracy=0.506172 top_k_accuracy_5=0.743281 | |
| Epoch[45] Batch [1100] Speed: 1232.14 samples/sec accuracy=0.513320 top_k_accuracy_5=0.743203 | |
| Epoch[45] Batch [1200] Speed: 1240.85 samples/sec accuracy=0.511484 top_k_accuracy_5=0.747031 | |
| Epoch[45] Batch [1300] Speed: 1233.49 samples/sec accuracy=0.507930 top_k_accuracy_5=0.742031 | |
| Epoch[45] Batch [1400] Speed: 1235.46 samples/sec accuracy=0.509531 top_k_accuracy_5=0.743906 | |
| Epoch[45] Batch [1500] Speed: 1225.74 samples/sec accuracy=0.508242 top_k_accuracy_5=0.742812 | |
| Epoch[45] Batch [1600] Speed: 1242.17 samples/sec accuracy=0.513398 top_k_accuracy_5=0.740547 | |
| Epoch[45] Batch [1700] Speed: 1231.08 samples/sec accuracy=0.508477 top_k_accuracy_5=0.741602 | |
| Epoch[45] Batch [1800] Speed: 1232.04 samples/sec accuracy=0.513828 top_k_accuracy_5=0.746172 | |
| Epoch[45] Batch [1900] Speed: 1224.74 samples/sec accuracy=0.515156 top_k_accuracy_5=0.746016 | |
| Epoch[45] Batch [2000] Speed: 1240.09 samples/sec accuracy=0.513789 top_k_accuracy_5=0.746250 | |
| Epoch[45] Batch [2100] Speed: 1225.19 samples/sec accuracy=0.508242 top_k_accuracy_5=0.747344 | |
| Epoch[45] Batch [2200] Speed: 1237.02 samples/sec accuracy=0.508047 top_k_accuracy_5=0.742266 | |
| Epoch[45] Batch [2300] Speed: 1226.05 samples/sec accuracy=0.508359 top_k_accuracy_5=0.741523 | |
| Epoch[45] Batch [2400] Speed: 1222.02 samples/sec accuracy=0.510508 top_k_accuracy_5=0.744570 | |
| Epoch[45] Batch [2500] Speed: 1224.24 samples/sec accuracy=0.511406 top_k_accuracy_5=0.742578 | |
| Epoch[45] Batch [2600] Speed: 1223.56 samples/sec accuracy=0.507344 top_k_accuracy_5=0.741250 | |
| Epoch[45] Batch [2700] Speed: 1224.44 samples/sec accuracy=0.512539 top_k_accuracy_5=0.743359 | |
| Epoch[45] Batch [2800] Speed: 1224.93 samples/sec accuracy=0.514727 top_k_accuracy_5=0.745586 | |
| Epoch[45] Batch [2900] Speed: 1217.66 samples/sec accuracy=0.515977 top_k_accuracy_5=0.747148 | |
| Epoch[45] Batch [3000] Speed: 1220.97 samples/sec accuracy=0.507539 top_k_accuracy_5=0.743437 | |
| Epoch[45] Batch [3100] Speed: 1221.81 samples/sec accuracy=0.508320 top_k_accuracy_5=0.740820 | |
| Epoch[45] Batch [3200] Speed: 1222.03 samples/sec accuracy=0.516523 top_k_accuracy_5=0.751563 | |
| Epoch[45] Batch [3300] Speed: 1232.53 samples/sec accuracy=0.508750 top_k_accuracy_5=0.741211 | |
| Epoch[45] Batch [3400] Speed: 1244.90 samples/sec accuracy=0.515898 top_k_accuracy_5=0.748242 | |
| Epoch[45] Batch [3500] Speed: 1240.36 samples/sec accuracy=0.512930 top_k_accuracy_5=0.744102 | |
| Epoch[45] Batch [3600] Speed: 1219.48 samples/sec accuracy=0.507227 top_k_accuracy_5=0.745039 | |
| Epoch[45] Batch [3700] Speed: 1251.46 samples/sec accuracy=0.513906 top_k_accuracy_5=0.745273 | |
| Epoch[45] Batch [3800] Speed: 1250.77 samples/sec accuracy=0.510898 top_k_accuracy_5=0.746719 | |
| Epoch[45] Batch [3900] Speed: 1239.03 samples/sec accuracy=0.508437 top_k_accuracy_5=0.739336 | |
| Epoch[45] Batch [4000] Speed: 1242.75 samples/sec accuracy=0.513945 top_k_accuracy_5=0.746875 | |
| Epoch[45] Batch [4100] Speed: 1241.38 samples/sec accuracy=0.509766 top_k_accuracy_5=0.742266 | |
| Epoch[45] Batch [4200] Speed: 1233.87 samples/sec accuracy=0.508945 top_k_accuracy_5=0.744141 | |
| Epoch[45] Batch [4300] Speed: 1235.46 samples/sec accuracy=0.509805 top_k_accuracy_5=0.743711 | |
| Epoch[45] Batch [4400] Speed: 1241.09 samples/sec accuracy=0.515000 top_k_accuracy_5=0.745078 | |
| Epoch[45] Batch [4500] Speed: 1243.78 samples/sec accuracy=0.516484 top_k_accuracy_5=0.746563 | |
| Epoch[45] Batch [4600] Speed: 1237.53 samples/sec accuracy=0.511289 top_k_accuracy_5=0.743789 | |
| Epoch[45] Batch [4700] Speed: 1236.94 samples/sec accuracy=0.515312 top_k_accuracy_5=0.743828 | |
| Epoch[45] Batch [4800] Speed: 1240.55 samples/sec accuracy=0.512969 top_k_accuracy_5=0.742461 | |
| Epoch[45] Batch [4900] Speed: 1252.82 samples/sec accuracy=0.516836 top_k_accuracy_5=0.749570 | |
| Epoch[45] Batch [5000] Speed: 1255.10 samples/sec accuracy=0.509648 top_k_accuracy_5=0.744375 | |
| Epoch[45] Train-accuracy=0.496094 | |
| Epoch[45] Train-top_k_accuracy_5=0.734375 | |
| Epoch[45] Time cost=1038.521 | |
| Saved checkpoint to "model/resnet18-0046.params" | |
| Epoch[45] Validation-accuracy=0.520032 | |
| Epoch[45] Validation-top_k_accuracy_5=0.756310 | |
| Epoch[46] Batch [100] Speed: 1256.50 samples/sec accuracy=0.518564 top_k_accuracy_5=0.746945 | |
| Epoch[46] Batch [200] Speed: 1246.52 samples/sec accuracy=0.512930 top_k_accuracy_5=0.743789 | |
| Epoch[46] Batch [300] Speed: 1240.35 samples/sec accuracy=0.511641 top_k_accuracy_5=0.746797 | |
| Epoch[46] Batch [400] Speed: 1241.72 samples/sec accuracy=0.510625 top_k_accuracy_5=0.741406 | |
| Epoch[46] Batch [500] Speed: 1236.24 samples/sec accuracy=0.517227 top_k_accuracy_5=0.748047 | |
| Epoch[46] Batch [600] Speed: 1244.33 samples/sec accuracy=0.511172 top_k_accuracy_5=0.742148 | |
| Epoch[46] Batch [700] Speed: 1256.43 samples/sec accuracy=0.507109 top_k_accuracy_5=0.743555 | |
| Epoch[46] Batch [800] Speed: 1254.70 samples/sec accuracy=0.512227 top_k_accuracy_5=0.743281 | |
| Epoch[46] Batch [900] Speed: 1253.78 samples/sec accuracy=0.516875 top_k_accuracy_5=0.743359 | |
| Epoch[46] Batch [1000] Speed: 1242.90 samples/sec accuracy=0.513437 top_k_accuracy_5=0.743867 | |
| Epoch[46] Batch [1100] Speed: 1243.72 samples/sec accuracy=0.511641 top_k_accuracy_5=0.746719 | |
| Epoch[46] Batch [1200] Speed: 1242.59 samples/sec accuracy=0.512383 top_k_accuracy_5=0.745703 | |
| Epoch[46] Batch [1300] Speed: 1246.87 samples/sec accuracy=0.508555 top_k_accuracy_5=0.741250 | |
| Epoch[46] Batch [1400] Speed: 1235.09 samples/sec accuracy=0.512422 top_k_accuracy_5=0.744687 | |
| Epoch[46] Batch [1500] Speed: 1238.40 samples/sec accuracy=0.512773 top_k_accuracy_5=0.742617 | |
| Epoch[46] Batch [1600] Speed: 1235.24 samples/sec accuracy=0.505195 top_k_accuracy_5=0.740781 | |
| Epoch[46] Batch [1700] Speed: 1237.20 samples/sec accuracy=0.507969 top_k_accuracy_5=0.739922 | |
| Epoch[46] Batch [1800] Speed: 1234.68 samples/sec accuracy=0.505977 top_k_accuracy_5=0.740625 | |
| Epoch[46] Batch [1900] Speed: 1246.31 samples/sec accuracy=0.512227 top_k_accuracy_5=0.743047 | |
| Epoch[46] Batch [2000] Speed: 1249.22 samples/sec accuracy=0.512813 top_k_accuracy_5=0.745977 | |
| Epoch[46] Batch [2100] Speed: 1237.29 samples/sec accuracy=0.503281 top_k_accuracy_5=0.740586 | |
| Epoch[46] Batch [2200] Speed: 1240.00 samples/sec accuracy=0.517539 top_k_accuracy_5=0.746836 | |
| Epoch[46] Batch [2300] Speed: 1245.46 samples/sec accuracy=0.506289 top_k_accuracy_5=0.741797 | |
| Epoch[46] Batch [2400] Speed: 1237.97 samples/sec accuracy=0.509023 top_k_accuracy_5=0.743477 | |
| Epoch[46] Batch [2500] Speed: 1234.78 samples/sec accuracy=0.505781 top_k_accuracy_5=0.742148 | |
| Epoch[46] Batch [2600] Speed: 1244.78 samples/sec accuracy=0.507969 top_k_accuracy_5=0.746680 | |
| Epoch[46] Batch [2700] Speed: 1242.69 samples/sec accuracy=0.510352 top_k_accuracy_5=0.743750 | |
| Epoch[46] Batch [2800] Speed: 1230.00 samples/sec accuracy=0.515664 top_k_accuracy_5=0.747266 | |
| Epoch[46] Batch [2900] Speed: 1246.18 samples/sec accuracy=0.517500 top_k_accuracy_5=0.745742 | |
| Epoch[46] Batch [3000] Speed: 1220.23 samples/sec accuracy=0.507852 top_k_accuracy_5=0.743281 | |
| Epoch[46] Batch [3100] Speed: 1245.03 samples/sec accuracy=0.512930 top_k_accuracy_5=0.745391 | |
| Epoch[46] Batch [3200] Speed: 1236.88 samples/sec accuracy=0.514648 top_k_accuracy_5=0.749141 | |
| Epoch[46] Batch [3300] Speed: 1227.45 samples/sec accuracy=0.507930 top_k_accuracy_5=0.742617 | |
| Epoch[46] Batch [3400] Speed: 1234.26 samples/sec accuracy=0.511836 top_k_accuracy_5=0.745547 | |
| Epoch[46] Batch [3500] Speed: 1242.22 samples/sec accuracy=0.511875 top_k_accuracy_5=0.744727 | |
| Epoch[46] Batch [3600] Speed: 1219.69 samples/sec accuracy=0.506563 top_k_accuracy_5=0.742812 | |
| Epoch[46] Batch [3700] Speed: 1246.15 samples/sec accuracy=0.509531 top_k_accuracy_5=0.742891 | |
| Epoch[46] Batch [3800] Speed: 1237.48 samples/sec accuracy=0.515938 top_k_accuracy_5=0.748086 | |
| Epoch[46] Batch [3900] Speed: 1228.02 samples/sec accuracy=0.510547 top_k_accuracy_5=0.743281 | |
| Epoch[46] Batch [4000] Speed: 1239.69 samples/sec accuracy=0.520781 top_k_accuracy_5=0.749727 | |
| Epoch[46] Batch [4100] Speed: 1234.65 samples/sec accuracy=0.504727 top_k_accuracy_5=0.744844 | |
| Epoch[46] Batch [4200] Speed: 1240.88 samples/sec accuracy=0.513086 top_k_accuracy_5=0.745977 | |
| Epoch[46] Batch [4300] Speed: 1245.45 samples/sec accuracy=0.508281 top_k_accuracy_5=0.740586 | |
| Epoch[46] Batch [4400] Speed: 1244.18 samples/sec accuracy=0.513320 top_k_accuracy_5=0.746563 | |
| Epoch[46] Batch [4500] Speed: 1230.11 samples/sec accuracy=0.512344 top_k_accuracy_5=0.748047 | |
| Epoch[46] Batch [4600] Speed: 1240.58 samples/sec accuracy=0.508711 top_k_accuracy_5=0.741992 | |
| Epoch[46] Batch [4700] Speed: 1229.62 samples/sec accuracy=0.513633 top_k_accuracy_5=0.744219 | |
| Epoch[46] Batch [4800] Speed: 1227.23 samples/sec accuracy=0.510195 top_k_accuracy_5=0.744453 | |
| Epoch[46] Batch [4900] Speed: 1235.70 samples/sec accuracy=0.514687 top_k_accuracy_5=0.749609 | |
| Epoch[46] Batch [5000] Speed: 1235.79 samples/sec accuracy=0.511328 top_k_accuracy_5=0.745352 | |
| Epoch[46] Train-accuracy=0.485352 | |
| Epoch[46] Train-top_k_accuracy_5=0.710938 | |
| Epoch[46] Time cost=1033.961 | |
| Saved checkpoint to "model/resnet18-0047.params" | |
| Epoch[46] Validation-accuracy=0.519792 | |
| Epoch[46] Validation-top_k_accuracy_5=0.756450 | |
| Epoch[47] Batch [100] Speed: 1232.78 samples/sec accuracy=0.514349 top_k_accuracy_5=0.748414 | |
| Epoch[47] Batch [200] Speed: 1221.71 samples/sec accuracy=0.510859 top_k_accuracy_5=0.743789 | |
| Epoch[47] Batch [300] Speed: 1226.58 samples/sec accuracy=0.513203 top_k_accuracy_5=0.747539 | |
| Epoch[47] Batch [400] Speed: 1229.20 samples/sec accuracy=0.502852 top_k_accuracy_5=0.738437 | |
| Epoch[47] Batch [500] Speed: 1246.96 samples/sec accuracy=0.508789 top_k_accuracy_5=0.744219 | |
| Epoch[47] Batch [600] Speed: 1232.84 samples/sec accuracy=0.514648 top_k_accuracy_5=0.746563 | |
| Epoch[47] Batch [700] Speed: 1238.20 samples/sec accuracy=0.513047 top_k_accuracy_5=0.743281 | |
| Epoch[47] Batch [800] Speed: 1235.79 samples/sec accuracy=0.509141 top_k_accuracy_5=0.743242 | |
| Epoch[47] Batch [900] Speed: 1230.89 samples/sec accuracy=0.509180 top_k_accuracy_5=0.745391 | |
| Epoch[47] Batch [1000] Speed: 1237.61 samples/sec accuracy=0.509961 top_k_accuracy_5=0.743398 | |
| Epoch[47] Batch [1100] Speed: 1242.07 samples/sec accuracy=0.513008 top_k_accuracy_5=0.744766 | |
| Epoch[47] Batch [1200] Speed: 1233.45 samples/sec accuracy=0.509961 top_k_accuracy_5=0.744102 | |
| Epoch[47] Batch [1300] Speed: 1231.85 samples/sec accuracy=0.506055 top_k_accuracy_5=0.737734 | |
| Epoch[47] Batch [1400] Speed: 1230.15 samples/sec accuracy=0.511172 top_k_accuracy_5=0.744102 | |
| Epoch[47] Batch [1500] Speed: 1233.40 samples/sec accuracy=0.507656 top_k_accuracy_5=0.742578 | |
| Epoch[47] Batch [1600] Speed: 1251.68 samples/sec accuracy=0.506875 top_k_accuracy_5=0.739805 | |
| Epoch[47] Batch [1700] Speed: 1241.56 samples/sec accuracy=0.515195 top_k_accuracy_5=0.745156 | |
| Epoch[47] Batch [1800] Speed: 1233.73 samples/sec accuracy=0.508789 top_k_accuracy_5=0.742422 | |
| Epoch[47] Batch [1900] Speed: 1240.10 samples/sec accuracy=0.506211 top_k_accuracy_5=0.742812 | |
| Epoch[47] Batch [2000] Speed: 1234.15 samples/sec accuracy=0.515430 top_k_accuracy_5=0.746680 | |
| Epoch[47] Batch [2100] Speed: 1235.09 samples/sec accuracy=0.508242 top_k_accuracy_5=0.740625 | |
| Epoch[47] Batch [2200] Speed: 1246.10 samples/sec accuracy=0.509687 top_k_accuracy_5=0.738398 | |
| Epoch[47] Batch [2300] Speed: 1233.60 samples/sec accuracy=0.507773 top_k_accuracy_5=0.741992 | |
| Epoch[47] Batch [2400] Speed: 1241.65 samples/sec accuracy=0.508281 top_k_accuracy_5=0.739297 | |
| Epoch[47] Batch [2500] Speed: 1239.26 samples/sec accuracy=0.510547 top_k_accuracy_5=0.742344 | |
| Epoch[47] Batch [2600] Speed: 1240.77 samples/sec accuracy=0.511914 top_k_accuracy_5=0.743008 | |
| Epoch[47] Batch [2700] Speed: 1234.56 samples/sec accuracy=0.512930 top_k_accuracy_5=0.743906 | |
| Epoch[47] Batch [2800] Speed: 1248.39 samples/sec accuracy=0.517734 top_k_accuracy_5=0.748867 | |
| Epoch[47] Batch [2900] Speed: 1240.46 samples/sec accuracy=0.513789 top_k_accuracy_5=0.745742 | |
| Epoch[47] Batch [3000] Speed: 1247.16 samples/sec accuracy=0.506133 top_k_accuracy_5=0.741406 | |
| Epoch[47] Batch [3100] Speed: 1234.58 samples/sec accuracy=0.510625 top_k_accuracy_5=0.743789 | |
| Epoch[47] Batch [3200] Speed: 1245.40 samples/sec accuracy=0.517578 top_k_accuracy_5=0.750234 | |
| Epoch[47] Batch [3300] Speed: 1246.08 samples/sec accuracy=0.510820 top_k_accuracy_5=0.748281 | |
| Epoch[47] Batch [3400] Speed: 1237.78 samples/sec accuracy=0.513789 top_k_accuracy_5=0.744687 | |
| Epoch[47] Batch [3500] Speed: 1227.90 samples/sec accuracy=0.508398 top_k_accuracy_5=0.742305 | |
| Epoch[47] Batch [3600] Speed: 1232.61 samples/sec accuracy=0.514766 top_k_accuracy_5=0.746016 | |
| Epoch[47] Batch [3700] Speed: 1229.91 samples/sec accuracy=0.507422 top_k_accuracy_5=0.741328 | |
| Epoch[47] Batch [3800] Speed: 1236.19 samples/sec accuracy=0.514258 top_k_accuracy_5=0.746641 | |
| Epoch[47] Batch [3900] Speed: 1242.57 samples/sec accuracy=0.506289 top_k_accuracy_5=0.741797 | |
| Epoch[47] Batch [4000] Speed: 1241.73 samples/sec accuracy=0.512891 top_k_accuracy_5=0.745820 | |
| Epoch[47] Batch [4100] Speed: 1225.19 samples/sec accuracy=0.504492 top_k_accuracy_5=0.742734 | |
| Epoch[47] Batch [4200] Speed: 1222.02 samples/sec accuracy=0.512695 top_k_accuracy_5=0.746797 | |
| Epoch[47] Batch [4300] Speed: 1236.26 samples/sec accuracy=0.512578 top_k_accuracy_5=0.744766 | |
| Epoch[47] Batch [4400] Speed: 1239.12 samples/sec accuracy=0.513320 top_k_accuracy_5=0.748164 | |
| Epoch[47] Batch [4500] Speed: 1233.15 samples/sec accuracy=0.514961 top_k_accuracy_5=0.745117 | |
| Epoch[47] Batch [4600] Speed: 1229.74 samples/sec accuracy=0.511523 top_k_accuracy_5=0.742070 | |
| Epoch[47] Batch [4700] Speed: 1239.19 samples/sec accuracy=0.513633 top_k_accuracy_5=0.745859 | |
| Epoch[47] Batch [4800] Speed: 1231.28 samples/sec accuracy=0.512461 top_k_accuracy_5=0.745703 | |
| Epoch[47] Batch [4900] Speed: 1234.51 samples/sec accuracy=0.512422 top_k_accuracy_5=0.749102 | |
| Epoch[47] Batch [5000] Speed: 1232.33 samples/sec accuracy=0.507422 top_k_accuracy_5=0.745781 | |
| Epoch[47] Train-accuracy=0.529948 | |
| Epoch[47] Train-top_k_accuracy_5=0.755208 | |
| Epoch[47] Time cost=1036.643 | |
| Saved checkpoint to "model/resnet18-0048.params" | |
| Epoch[47] Validation-accuracy=0.516386 | |
| Epoch[47] Validation-top_k_accuracy_5=0.756290 | |
| Epoch[48] Batch [100] Speed: 1243.20 samples/sec accuracy=0.514968 top_k_accuracy_5=0.745591 | |
| Epoch[48] Batch [200] Speed: 1238.89 samples/sec accuracy=0.515391 top_k_accuracy_5=0.747227 | |
| Epoch[48] Batch [300] Speed: 1234.52 samples/sec accuracy=0.516133 top_k_accuracy_5=0.746875 | |
| Epoch[48] Batch [400] Speed: 1237.20 samples/sec accuracy=0.509805 top_k_accuracy_5=0.746797 | |
| Epoch[48] Batch [500] Speed: 1214.68 samples/sec accuracy=0.514180 top_k_accuracy_5=0.745820 | |
| Epoch[48] Batch [600] Speed: 1226.20 samples/sec accuracy=0.510586 top_k_accuracy_5=0.742812 | |
| Epoch[48] Batch [700] Speed: 1226.43 samples/sec accuracy=0.512578 top_k_accuracy_5=0.744531 | |
| Epoch[48] Batch [800] Speed: 1228.03 samples/sec accuracy=0.510703 top_k_accuracy_5=0.742773 | |
| Epoch[48] Batch [900] Speed: 1236.95 samples/sec accuracy=0.508125 top_k_accuracy_5=0.740313 | |
| Epoch[48] Batch [1000] Speed: 1234.25 samples/sec accuracy=0.512266 top_k_accuracy_5=0.748633 | |
| Epoch[48] Batch [1100] Speed: 1233.03 samples/sec accuracy=0.512461 top_k_accuracy_5=0.746523 | |
| Epoch[48] Batch [1200] Speed: 1236.23 samples/sec accuracy=0.508359 top_k_accuracy_5=0.745625 | |
| Epoch[48] Batch [1300] Speed: 1231.68 samples/sec accuracy=0.510586 top_k_accuracy_5=0.745898 | |
| Epoch[48] Batch [1400] Speed: 1231.94 samples/sec accuracy=0.511992 top_k_accuracy_5=0.743906 | |
| Epoch[48] Batch [1500] Speed: 1244.96 samples/sec accuracy=0.511250 top_k_accuracy_5=0.742852 | |
| Epoch[48] Batch [1600] Speed: 1240.16 samples/sec accuracy=0.503984 top_k_accuracy_5=0.741094 | |
| Epoch[48] Batch [1700] Speed: 1240.70 samples/sec accuracy=0.508047 top_k_accuracy_5=0.745000 | |
| Epoch[48] Batch [1800] Speed: 1229.81 samples/sec accuracy=0.509297 top_k_accuracy_5=0.742930 | |
| Epoch[48] Batch [1900] Speed: 1224.59 samples/sec accuracy=0.509180 top_k_accuracy_5=0.744687 | |
| Epoch[48] Batch [2000] Speed: 1235.40 samples/sec accuracy=0.511172 top_k_accuracy_5=0.746484 | |
| Epoch[48] Batch [2100] Speed: 1235.97 samples/sec accuracy=0.512930 top_k_accuracy_5=0.742305 | |
| Epoch[48] Batch [2200] Speed: 1235.06 samples/sec accuracy=0.516484 top_k_accuracy_5=0.748047 | |
| Epoch[48] Batch [2300] Speed: 1233.87 samples/sec accuracy=0.510078 top_k_accuracy_5=0.744687 | |
| Epoch[48] Batch [2400] Speed: 1244.21 samples/sec accuracy=0.514766 top_k_accuracy_5=0.747539 | |
| Epoch[48] Batch [2500] Speed: 1227.91 samples/sec accuracy=0.507109 top_k_accuracy_5=0.741758 | |
| Epoch[48] Batch [2600] Speed: 1230.88 samples/sec accuracy=0.512344 top_k_accuracy_5=0.742305 | |
| Epoch[48] Batch [2700] Speed: 1230.70 samples/sec accuracy=0.509414 top_k_accuracy_5=0.745039 | |
| Epoch[48] Batch [2800] Speed: 1235.24 samples/sec accuracy=0.515977 top_k_accuracy_5=0.746250 | |
| Epoch[48] Batch [2900] Speed: 1232.27 samples/sec accuracy=0.515117 top_k_accuracy_5=0.746250 | |
| Epoch[48] Batch [3000] Speed: 1231.82 samples/sec accuracy=0.509844 top_k_accuracy_5=0.739570 | |
| Epoch[48] Batch [3100] Speed: 1239.23 samples/sec accuracy=0.509570 top_k_accuracy_5=0.741953 | |
| Epoch[48] Batch [3200] Speed: 1222.44 samples/sec accuracy=0.516250 top_k_accuracy_5=0.749766 | |
| Epoch[48] Batch [3300] Speed: 1228.13 samples/sec accuracy=0.508477 top_k_accuracy_5=0.743359 | |
| Epoch[48] Batch [3400] Speed: 1236.71 samples/sec accuracy=0.510664 top_k_accuracy_5=0.744531 | |
| Epoch[48] Batch [3500] Speed: 1213.68 samples/sec accuracy=0.508437 top_k_accuracy_5=0.745977 | |
| Epoch[48] Batch [3600] Speed: 1235.67 samples/sec accuracy=0.509961 top_k_accuracy_5=0.742461 | |
| Epoch[48] Batch [3700] Speed: 1222.78 samples/sec accuracy=0.510469 top_k_accuracy_5=0.743125 | |
| Epoch[48] Batch [3800] Speed: 1234.11 samples/sec accuracy=0.510586 top_k_accuracy_5=0.745781 | |
| Epoch[48] Batch [3900] Speed: 1237.61 samples/sec accuracy=0.512891 top_k_accuracy_5=0.742695 | |
| Epoch[48] Batch [4000] Speed: 1241.03 samples/sec accuracy=0.518477 top_k_accuracy_5=0.749687 | |
| Epoch[48] Batch [4100] Speed: 1220.82 samples/sec accuracy=0.506367 top_k_accuracy_5=0.741758 | |
| Epoch[48] Batch [4200] Speed: 1211.19 samples/sec accuracy=0.514219 top_k_accuracy_5=0.746055 | |
| Epoch[48] Batch [4300] Speed: 1239.65 samples/sec accuracy=0.510781 top_k_accuracy_5=0.744258 | |
| Epoch[48] Batch [4400] Speed: 1246.60 samples/sec accuracy=0.511719 top_k_accuracy_5=0.748437 | |
| Epoch[48] Batch [4500] Speed: 1230.66 samples/sec accuracy=0.512031 top_k_accuracy_5=0.745313 | |
| Epoch[48] Batch [4600] Speed: 1233.88 samples/sec accuracy=0.512773 top_k_accuracy_5=0.743867 | |
| Epoch[48] Batch [4700] Speed: 1222.41 samples/sec accuracy=0.516992 top_k_accuracy_5=0.748437 | |
| Epoch[48] Batch [4800] Speed: 1229.50 samples/sec accuracy=0.509687 top_k_accuracy_5=0.745352 | |
| Epoch[48] Batch [4900] Speed: 1233.64 samples/sec accuracy=0.517930 top_k_accuracy_5=0.750039 | |
| Epoch[48] Batch [5000] Speed: 1219.85 samples/sec accuracy=0.507773 top_k_accuracy_5=0.745391 | |
| Epoch[48] Train-accuracy=0.475586 | |
| Epoch[48] Train-top_k_accuracy_5=0.725586 | |
| Epoch[48] Time cost=1040.274 | |
| Saved checkpoint to "model/resnet18-0049.params" | |
| Epoch[48] Validation-accuracy=0.518256 | |
| Epoch[48] Validation-top_k_accuracy_5=0.756039 | |
| Epoch[49] Batch [100] Speed: 1230.07 samples/sec accuracy=0.512686 top_k_accuracy_5=0.747989 | |
| Epoch[49] Batch [200] Speed: 1227.85 samples/sec accuracy=0.509883 top_k_accuracy_5=0.743867 | |
| Epoch[49] Batch [300] Speed: 1231.13 samples/sec accuracy=0.511211 top_k_accuracy_5=0.744453 | |
| Epoch[49] Batch [400] Speed: 1242.24 samples/sec accuracy=0.505898 top_k_accuracy_5=0.739727 | |
| Epoch[49] Batch [500] Speed: 1229.74 samples/sec accuracy=0.514961 top_k_accuracy_5=0.746211 | |
| Epoch[49] Batch [600] Speed: 1242.47 samples/sec accuracy=0.514102 top_k_accuracy_5=0.749570 | |
| Epoch[49] Batch [700] Speed: 1243.01 samples/sec accuracy=0.510469 top_k_accuracy_5=0.743867 | |
| Epoch[49] Batch [800] Speed: 1238.62 samples/sec accuracy=0.508242 top_k_accuracy_5=0.742500 | |
| Epoch[49] Batch [900] Speed: 1238.73 samples/sec accuracy=0.507656 top_k_accuracy_5=0.741289 | |
| Epoch[49] Batch [1000] Speed: 1229.93 samples/sec accuracy=0.510273 top_k_accuracy_5=0.748164 | |
| Epoch[49] Batch [1100] Speed: 1234.80 samples/sec accuracy=0.516914 top_k_accuracy_5=0.751016 | |
| Epoch[49] Batch [1200] Speed: 1225.99 samples/sec accuracy=0.514609 top_k_accuracy_5=0.746641 | |
| Epoch[49] Batch [1300] Speed: 1245.31 samples/sec accuracy=0.510781 top_k_accuracy_5=0.741719 | |
| Epoch[49] Batch [1400] Speed: 1225.15 samples/sec accuracy=0.509727 top_k_accuracy_5=0.742891 | |
| Epoch[49] Batch [1500] Speed: 1239.27 samples/sec accuracy=0.511094 top_k_accuracy_5=0.746602 | |
| Epoch[49] Batch [1600] Speed: 1240.62 samples/sec accuracy=0.509805 top_k_accuracy_5=0.744492 | |
| Epoch[49] Batch [1700] Speed: 1236.99 samples/sec accuracy=0.513242 top_k_accuracy_5=0.749570 | |
| Epoch[49] Batch [1800] Speed: 1248.73 samples/sec accuracy=0.511602 top_k_accuracy_5=0.742305 | |
| Epoch[49] Batch [1900] Speed: 1239.68 samples/sec accuracy=0.509180 top_k_accuracy_5=0.742695 | |
| Epoch[49] Batch [2000] Speed: 1227.81 samples/sec accuracy=0.514844 top_k_accuracy_5=0.747188 | |
| Epoch[49] Batch [2100] Speed: 1228.09 samples/sec accuracy=0.512031 top_k_accuracy_5=0.741484 | |
| Epoch[49] Batch [2200] Speed: 1234.06 samples/sec accuracy=0.512891 top_k_accuracy_5=0.747578 | |
| Epoch[49] Batch [2300] Speed: 1231.20 samples/sec accuracy=0.507734 top_k_accuracy_5=0.745156 | |
| Epoch[49] Batch [2400] Speed: 1237.57 samples/sec accuracy=0.510977 top_k_accuracy_5=0.743516 | |
| Epoch[49] Batch [2500] Speed: 1232.94 samples/sec accuracy=0.514297 top_k_accuracy_5=0.745898 | |
| Epoch[49] Batch [2600] Speed: 1223.73 samples/sec accuracy=0.507969 top_k_accuracy_5=0.743320 | |
| Epoch[49] Batch [2700] Speed: 1241.34 samples/sec accuracy=0.510234 top_k_accuracy_5=0.742500 | |
| Epoch[49] Batch [2800] Speed: 1238.35 samples/sec accuracy=0.515273 top_k_accuracy_5=0.744531 | |
| Epoch[49] Batch [2900] Speed: 1243.06 samples/sec accuracy=0.514375 top_k_accuracy_5=0.745078 | |
| Epoch[49] Batch [3000] Speed: 1234.63 samples/sec accuracy=0.508242 top_k_accuracy_5=0.744687 | |
| Epoch[49] Batch [3100] Speed: 1224.15 samples/sec accuracy=0.509727 top_k_accuracy_5=0.743086 | |
| Epoch[49] Batch [3200] Speed: 1232.89 samples/sec accuracy=0.513828 top_k_accuracy_5=0.750742 | |
| Epoch[49] Batch [3300] Speed: 1232.56 samples/sec accuracy=0.510977 top_k_accuracy_5=0.743789 | |
| Epoch[49] Batch [3400] Speed: 1226.83 samples/sec accuracy=0.516055 top_k_accuracy_5=0.750039 | |
| Epoch[49] Batch [3500] Speed: 1231.15 samples/sec accuracy=0.514648 top_k_accuracy_5=0.745000 | |
| Epoch[49] Batch [3600] Speed: 1229.73 samples/sec accuracy=0.510312 top_k_accuracy_5=0.742422 | |
| Epoch[49] Batch [3700] Speed: 1237.24 samples/sec accuracy=0.512305 top_k_accuracy_5=0.743242 | |
| Epoch[49] Batch [3800] Speed: 1237.82 samples/sec accuracy=0.512188 top_k_accuracy_5=0.744883 | |
| Epoch[49] Batch [3900] Speed: 1232.86 samples/sec accuracy=0.503555 top_k_accuracy_5=0.742617 | |
| Epoch[49] Batch [4000] Speed: 1235.43 samples/sec accuracy=0.515820 top_k_accuracy_5=0.744453 | |
| Epoch[49] Batch [4100] Speed: 1237.99 samples/sec accuracy=0.509102 top_k_accuracy_5=0.741875 | |
| Epoch[49] Batch [4200] Speed: 1237.94 samples/sec accuracy=0.513906 top_k_accuracy_5=0.740742 | |
| Epoch[49] Batch [4300] Speed: 1246.45 samples/sec accuracy=0.511797 top_k_accuracy_5=0.737656 | |
| Epoch[49] Batch [4400] Speed: 1241.24 samples/sec accuracy=0.512773 top_k_accuracy_5=0.746680 | |
| Epoch[49] Batch [4500] Speed: 1241.70 samples/sec accuracy=0.513789 top_k_accuracy_5=0.746836 | |
| Epoch[49] Batch [4600] Speed: 1239.56 samples/sec accuracy=0.511367 top_k_accuracy_5=0.743516 | |
| Epoch[49] Batch [4700] Speed: 1234.09 samples/sec accuracy=0.513047 top_k_accuracy_5=0.743633 | |
| Epoch[49] Batch [4800] Speed: 1226.75 samples/sec accuracy=0.516289 top_k_accuracy_5=0.744805 | |
| Epoch[49] Batch [4900] Speed: 1229.13 samples/sec accuracy=0.518203 top_k_accuracy_5=0.746094 | |
| Epoch[49] Batch [5000] Speed: 1233.97 samples/sec accuracy=0.510469 top_k_accuracy_5=0.742500 | |
| Epoch[49] Train-accuracy=0.511719 | |
| Epoch[49] Train-top_k_accuracy_5=0.723958 | |
| Epoch[49] Time cost=1037.556 | |
| Saved checkpoint to "model/resnet18-0050.params" | |
| Epoch[49] Validation-accuracy=0.518209 | |
| Epoch[49] Validation-top_k_accuracy_5=0.754948 | |
| Epoch[50] Batch [100] Speed: 1231.01 samples/sec accuracy=0.512531 top_k_accuracy_5=0.744895 | |
| Epoch[50] Batch [200] Speed: 1222.40 samples/sec accuracy=0.513828 top_k_accuracy_5=0.746445 | |
| Epoch[50] Batch [300] Speed: 1219.08 samples/sec accuracy=0.518125 top_k_accuracy_5=0.748711 | |
| Epoch[50] Batch [400] Speed: 1229.60 samples/sec accuracy=0.508555 top_k_accuracy_5=0.742031 | |
| Epoch[50] Batch [500] Speed: 1232.75 samples/sec accuracy=0.514414 top_k_accuracy_5=0.747500 | |
| Epoch[50] Batch [600] Speed: 1240.68 samples/sec accuracy=0.512773 top_k_accuracy_5=0.746133 | |
| Epoch[50] Batch [700] Speed: 1241.02 samples/sec accuracy=0.507656 top_k_accuracy_5=0.741133 | |
| Epoch[50] Batch [800] Speed: 1240.69 samples/sec accuracy=0.505664 top_k_accuracy_5=0.742344 | |
| Epoch[50] Batch [900] Speed: 1237.99 samples/sec accuracy=0.511133 top_k_accuracy_5=0.745039 | |
| Epoch[50] Batch [1000] Speed: 1232.89 samples/sec accuracy=0.509609 top_k_accuracy_5=0.746680 | |
| Epoch[50] Batch [1100] Speed: 1240.49 samples/sec accuracy=0.515352 top_k_accuracy_5=0.745859 | |
| Epoch[50] Batch [1200] Speed: 1230.28 samples/sec accuracy=0.513594 top_k_accuracy_5=0.749297 | |
| Epoch[50] Batch [1300] Speed: 1232.04 samples/sec accuracy=0.516094 top_k_accuracy_5=0.746289 | |
| Epoch[50] Batch [1400] Speed: 1223.67 samples/sec accuracy=0.515039 top_k_accuracy_5=0.744687 | |
| Epoch[50] Batch [1500] Speed: 1244.16 samples/sec accuracy=0.508906 top_k_accuracy_5=0.739805 | |
| Epoch[50] Batch [1600] Speed: 1235.26 samples/sec accuracy=0.508594 top_k_accuracy_5=0.739297 | |
| Epoch[50] Batch [1700] Speed: 1237.03 samples/sec accuracy=0.510664 top_k_accuracy_5=0.746563 | |
| Epoch[50] Batch [1800] Speed: 1223.31 samples/sec accuracy=0.512852 top_k_accuracy_5=0.748867 | |
| Epoch[50] Batch [1900] Speed: 1232.66 samples/sec accuracy=0.512969 top_k_accuracy_5=0.743867 | |
| Epoch[50] Batch [2000] Speed: 1243.31 samples/sec accuracy=0.514727 top_k_accuracy_5=0.742578 | |
| Epoch[50] Batch [2100] Speed: 1235.85 samples/sec accuracy=0.513750 top_k_accuracy_5=0.741016 | |
| Epoch[50] Batch [2200] Speed: 1231.05 samples/sec accuracy=0.514922 top_k_accuracy_5=0.746211 | |
| Epoch[50] Batch [2300] Speed: 1242.94 samples/sec accuracy=0.507695 top_k_accuracy_5=0.740898 | |
| Epoch[50] Batch [2400] Speed: 1237.17 samples/sec accuracy=0.510898 top_k_accuracy_5=0.741523 | |
| Epoch[50] Batch [2500] Speed: 1230.52 samples/sec accuracy=0.512852 top_k_accuracy_5=0.744961 | |
| Epoch[50] Batch [2600] Speed: 1245.79 samples/sec accuracy=0.507422 top_k_accuracy_5=0.743789 | |
| Epoch[50] Batch [2700] Speed: 1227.21 samples/sec accuracy=0.514727 top_k_accuracy_5=0.746133 | |
| Epoch[50] Batch [2800] Speed: 1237.32 samples/sec accuracy=0.514805 top_k_accuracy_5=0.744687 | |
| Epoch[50] Batch [2900] Speed: 1241.20 samples/sec accuracy=0.512422 top_k_accuracy_5=0.744023 | |
| Epoch[50] Batch [3000] Speed: 1245.40 samples/sec accuracy=0.508008 top_k_accuracy_5=0.745078 | |
| Epoch[50] Batch [3100] Speed: 1241.98 samples/sec accuracy=0.509961 top_k_accuracy_5=0.742852 | |
| Epoch[50] Batch [3200] Speed: 1237.19 samples/sec accuracy=0.514062 top_k_accuracy_5=0.748594 | |
| Epoch[50] Batch [3300] Speed: 1230.24 samples/sec accuracy=0.513164 top_k_accuracy_5=0.743359 | |
| Epoch[50] Batch [3400] Speed: 1231.76 samples/sec accuracy=0.514531 top_k_accuracy_5=0.747383 | |
| Epoch[50] Batch [3500] Speed: 1227.73 samples/sec accuracy=0.515117 top_k_accuracy_5=0.745898 | |
| Epoch[50] Batch [3600] Speed: 1231.71 samples/sec accuracy=0.509805 top_k_accuracy_5=0.744023 | |
| Epoch[50] Batch [3700] Speed: 1239.34 samples/sec accuracy=0.517539 top_k_accuracy_5=0.747070 | |
| Epoch[50] Batch [3800] Speed: 1236.22 samples/sec accuracy=0.515195 top_k_accuracy_5=0.745469 | |
| Epoch[50] Batch [3900] Speed: 1234.46 samples/sec accuracy=0.507656 top_k_accuracy_5=0.746250 | |
| Epoch[50] Batch [4000] Speed: 1232.09 samples/sec accuracy=0.516328 top_k_accuracy_5=0.748359 | |
| Epoch[50] Batch [4100] Speed: 1235.65 samples/sec accuracy=0.508594 top_k_accuracy_5=0.745938 | |
| Epoch[50] Batch [4200] Speed: 1235.97 samples/sec accuracy=0.510000 top_k_accuracy_5=0.741875 | |
| Epoch[50] Batch [4300] Speed: 1231.57 samples/sec accuracy=0.510391 top_k_accuracy_5=0.744883 | |
| Epoch[50] Batch [4400] Speed: 1243.92 samples/sec accuracy=0.513555 top_k_accuracy_5=0.748086 | |
| Epoch[50] Batch [4500] Speed: 1233.10 samples/sec accuracy=0.511133 top_k_accuracy_5=0.745039 | |
| Epoch[50] Batch [4600] Speed: 1245.85 samples/sec accuracy=0.512773 top_k_accuracy_5=0.746328 | |
| Epoch[50] Batch [4700] Speed: 1235.80 samples/sec accuracy=0.514180 top_k_accuracy_5=0.748906 | |
| Epoch[50] Batch [4800] Speed: 1237.77 samples/sec accuracy=0.515352 top_k_accuracy_5=0.746797 | |
| Epoch[50] Batch [4900] Speed: 1236.48 samples/sec accuracy=0.517109 top_k_accuracy_5=0.748008 | |
| Epoch[50] Batch [5000] Speed: 1218.97 samples/sec accuracy=0.507227 top_k_accuracy_5=0.743594 | |
| Epoch[50] Train-accuracy=0.489258 | |
| Epoch[50] Train-top_k_accuracy_5=0.729492 | |
| Epoch[50] Time cost=1037.954 | |
| Saved checkpoint to "model/resnet18-0051.params" | |
| Epoch[50] Validation-accuracy=0.520813 | |
| Epoch[50] Validation-top_k_accuracy_5=0.755769 | |
| Epoch[51] Batch [100] Speed: 1227.11 samples/sec accuracy=0.514503 top_k_accuracy_5=0.747679 | |
| Epoch[51] Batch [200] Speed: 1236.30 samples/sec accuracy=0.512188 top_k_accuracy_5=0.749727 | |
| Epoch[51] Batch [300] Speed: 1237.88 samples/sec accuracy=0.513789 top_k_accuracy_5=0.750313 | |
| Epoch[51] Batch [400] Speed: 1257.72 samples/sec accuracy=0.510977 top_k_accuracy_5=0.744062 | |
| Epoch[51] Batch [500] Speed: 1246.66 samples/sec accuracy=0.516563 top_k_accuracy_5=0.747773 | |
| Epoch[51] Batch [600] Speed: 1252.31 samples/sec accuracy=0.513047 top_k_accuracy_5=0.750742 | |
| Epoch[51] Batch [700] Speed: 1245.07 samples/sec accuracy=0.505625 top_k_accuracy_5=0.739688 | |
| Epoch[51] Batch [800] Speed: 1246.20 samples/sec accuracy=0.514375 top_k_accuracy_5=0.742383 | |
| Epoch[51] Batch [900] Speed: 1234.79 samples/sec accuracy=0.511094 top_k_accuracy_5=0.742695 | |
| Epoch[51] Batch [1000] Speed: 1243.56 samples/sec accuracy=0.514375 top_k_accuracy_5=0.746758 | |
| Epoch[51] Batch [1100] Speed: 1244.60 samples/sec accuracy=0.516523 top_k_accuracy_5=0.748086 | |
| Epoch[51] Batch [1200] Speed: 1241.06 samples/sec accuracy=0.512734 top_k_accuracy_5=0.745586 | |
| Epoch[51] Batch [1300] Speed: 1262.19 samples/sec accuracy=0.512617 top_k_accuracy_5=0.745664 | |
| Epoch[51] Batch [1400] Speed: 1249.67 samples/sec accuracy=0.511406 top_k_accuracy_5=0.746406 | |
| Epoch[51] Batch [1500] Speed: 1241.27 samples/sec accuracy=0.512773 top_k_accuracy_5=0.744062 | |
| Epoch[51] Batch [1600] Speed: 1234.97 samples/sec accuracy=0.514609 top_k_accuracy_5=0.742617 | |
| Epoch[51] Batch [1700] Speed: 1252.04 samples/sec accuracy=0.513398 top_k_accuracy_5=0.744102 | |
| Epoch[51] Batch [1800] Speed: 1253.04 samples/sec accuracy=0.512852 top_k_accuracy_5=0.745625 | |
| Epoch[51] Batch [1900] Speed: 1237.67 samples/sec accuracy=0.513516 top_k_accuracy_5=0.743281 | |
| Epoch[51] Batch [2000] Speed: 1261.42 samples/sec accuracy=0.515859 top_k_accuracy_5=0.750781 | |
| Epoch[51] Batch [2100] Speed: 1252.45 samples/sec accuracy=0.506836 top_k_accuracy_5=0.740313 | |
| Epoch[51] Batch [2200] Speed: 1250.70 samples/sec accuracy=0.511172 top_k_accuracy_5=0.745273 | |
| Epoch[51] Batch [2300] Speed: 1237.68 samples/sec accuracy=0.508750 top_k_accuracy_5=0.743906 | |
| Epoch[51] Batch [2400] Speed: 1236.59 samples/sec accuracy=0.510234 top_k_accuracy_5=0.744062 | |
| Epoch[51] Batch [2500] Speed: 1244.45 samples/sec accuracy=0.508633 top_k_accuracy_5=0.742227 | |
| Epoch[51] Batch [2600] Speed: 1235.70 samples/sec accuracy=0.510312 top_k_accuracy_5=0.747227 | |
| Epoch[51] Batch [2700] Speed: 1230.98 samples/sec accuracy=0.510703 top_k_accuracy_5=0.743789 | |
| Epoch[51] Batch [2800] Speed: 1232.02 samples/sec accuracy=0.511133 top_k_accuracy_5=0.745977 | |
| Epoch[51] Batch [2900] Speed: 1235.16 samples/sec accuracy=0.514492 top_k_accuracy_5=0.747656 | |
| Epoch[51] Batch [3000] Speed: 1234.08 samples/sec accuracy=0.507109 top_k_accuracy_5=0.743867 | |
| Epoch[51] Batch [3100] Speed: 1225.67 samples/sec accuracy=0.512695 top_k_accuracy_5=0.745195 | |
| Epoch[51] Batch [3200] Speed: 1230.20 samples/sec accuracy=0.517891 top_k_accuracy_5=0.750469 | |
| Epoch[51] Batch [3300] Speed: 1226.14 samples/sec accuracy=0.510977 top_k_accuracy_5=0.744102 | |
| Epoch[51] Batch [3400] Speed: 1237.50 samples/sec accuracy=0.515391 top_k_accuracy_5=0.742773 | |
| Epoch[51] Batch [3500] Speed: 1222.91 samples/sec accuracy=0.514219 top_k_accuracy_5=0.744609 | |
| Epoch[51] Batch [3600] Speed: 1234.80 samples/sec accuracy=0.510312 top_k_accuracy_5=0.745313 | |
| Epoch[51] Batch [3700] Speed: 1225.35 samples/sec accuracy=0.516680 top_k_accuracy_5=0.745391 | |
| Epoch[51] Batch [3800] Speed: 1231.54 samples/sec accuracy=0.511953 top_k_accuracy_5=0.741602 | |
| Epoch[51] Batch [3900] Speed: 1233.79 samples/sec accuracy=0.515820 top_k_accuracy_5=0.747148 | |
| Epoch[51] Batch [4000] Speed: 1222.73 samples/sec accuracy=0.521563 top_k_accuracy_5=0.750195 | |
| Epoch[51] Batch [4100] Speed: 1243.99 samples/sec accuracy=0.513516 top_k_accuracy_5=0.745352 | |
| Epoch[51] Batch [4200] Speed: 1235.87 samples/sec accuracy=0.512695 top_k_accuracy_5=0.747969 | |
| Epoch[51] Batch [4300] Speed: 1235.20 samples/sec accuracy=0.514414 top_k_accuracy_5=0.743750 | |
| Epoch[51] Batch [4400] Speed: 1232.69 samples/sec accuracy=0.512344 top_k_accuracy_5=0.746289 | |
| Epoch[51] Batch [4500] Speed: 1246.17 samples/sec accuracy=0.513477 top_k_accuracy_5=0.746875 | |
| Epoch[51] Batch [4600] Speed: 1240.56 samples/sec accuracy=0.511797 top_k_accuracy_5=0.743242 | |
| Epoch[51] Batch [4700] Speed: 1228.73 samples/sec accuracy=0.514375 top_k_accuracy_5=0.748633 | |
| Epoch[51] Batch [4800] Speed: 1242.64 samples/sec accuracy=0.513633 top_k_accuracy_5=0.744609 | |
| Epoch[51] Batch [4900] Speed: 1241.67 samples/sec accuracy=0.519453 top_k_accuracy_5=0.752266 | |
| Epoch[51] Batch [5000] Speed: 1241.17 samples/sec accuracy=0.514531 top_k_accuracy_5=0.743203 | |
| Epoch[51] Train-accuracy=0.513672 | |
| Epoch[51] Train-top_k_accuracy_5=0.733398 | |
| Epoch[51] Time cost=1034.239 | |
| Saved checkpoint to "model/resnet18-0052.params" | |
| Epoch[51] Validation-accuracy=0.515067 | |
| Epoch[51] Validation-top_k_accuracy_5=0.754245 | |
| Epoch[52] Batch [100] Speed: 1237.17 samples/sec accuracy=0.515354 top_k_accuracy_5=0.752127 | |
| Epoch[52] Batch [200] Speed: 1237.71 samples/sec accuracy=0.514414 top_k_accuracy_5=0.749414 | |
| Epoch[52] Batch [300] Speed: 1225.20 samples/sec accuracy=0.510859 top_k_accuracy_5=0.745977 | |
| Epoch[52] Batch [400] Speed: 1253.80 samples/sec accuracy=0.507773 top_k_accuracy_5=0.741211 | |
| Epoch[52] Batch [500] Speed: 1243.39 samples/sec accuracy=0.513555 top_k_accuracy_5=0.744141 | |
| Epoch[52] Batch [600] Speed: 1250.19 samples/sec accuracy=0.513281 top_k_accuracy_5=0.744727 | |
| Epoch[52] Batch [700] Speed: 1259.98 samples/sec accuracy=0.508008 top_k_accuracy_5=0.743711 | |
| Epoch[52] Batch [800] Speed: 1246.14 samples/sec accuracy=0.508750 top_k_accuracy_5=0.742656 | |
| Epoch[52] Batch [900] Speed: 1245.45 samples/sec accuracy=0.514062 top_k_accuracy_5=0.747461 | |
| Epoch[52] Batch [1000] Speed: 1248.63 samples/sec accuracy=0.511367 top_k_accuracy_5=0.743711 | |
| Epoch[52] Batch [1100] Speed: 1261.35 samples/sec accuracy=0.517266 top_k_accuracy_5=0.749258 | |
| Epoch[52] Batch [1200] Speed: 1257.45 samples/sec accuracy=0.518594 top_k_accuracy_5=0.750586 | |
| Epoch[52] Batch [1300] Speed: 1255.36 samples/sec accuracy=0.512891 top_k_accuracy_5=0.742578 | |
| Epoch[52] Batch [1400] Speed: 1254.28 samples/sec accuracy=0.513516 top_k_accuracy_5=0.746836 | |
| Epoch[52] Batch [1500] Speed: 1237.11 samples/sec accuracy=0.511914 top_k_accuracy_5=0.743750 | |
| Epoch[52] Batch [1600] Speed: 1249.99 samples/sec accuracy=0.505703 top_k_accuracy_5=0.745117 | |
| Epoch[52] Batch [1700] Speed: 1258.06 samples/sec accuracy=0.510078 top_k_accuracy_5=0.745977 | |
| Epoch[52] Batch [1800] Speed: 1241.22 samples/sec accuracy=0.510312 top_k_accuracy_5=0.743047 | |
| Epoch[52] Batch [1900] Speed: 1251.04 samples/sec accuracy=0.517031 top_k_accuracy_5=0.747109 | |
| Epoch[52] Batch [2000] Speed: 1246.84 samples/sec accuracy=0.516953 top_k_accuracy_5=0.745547 | |
| Epoch[52] Batch [2100] Speed: 1246.59 samples/sec accuracy=0.511094 top_k_accuracy_5=0.742852 | |
| Epoch[52] Batch [2200] Speed: 1243.91 samples/sec accuracy=0.512031 top_k_accuracy_5=0.746484 | |
| Epoch[52] Batch [2300] Speed: 1251.43 samples/sec accuracy=0.509141 top_k_accuracy_5=0.741836 | |
| Epoch[52] Batch [2400] Speed: 1253.72 samples/sec accuracy=0.508984 top_k_accuracy_5=0.742734 | |
| Epoch[52] Batch [2500] Speed: 1255.48 samples/sec accuracy=0.511133 top_k_accuracy_5=0.744961 | |
| Epoch[52] Batch [2600] Speed: 1244.42 samples/sec accuracy=0.510586 top_k_accuracy_5=0.750664 | |
| Epoch[52] Batch [2700] Speed: 1246.23 samples/sec accuracy=0.514023 top_k_accuracy_5=0.746406 | |
| Epoch[52] Batch [2800] Speed: 1255.70 samples/sec accuracy=0.512617 top_k_accuracy_5=0.746172 | |
| Epoch[52] Batch [2900] Speed: 1249.82 samples/sec accuracy=0.519219 top_k_accuracy_5=0.748750 | |
| Epoch[52] Batch [3000] Speed: 1244.84 samples/sec accuracy=0.510547 top_k_accuracy_5=0.743047 | |
| Epoch[52] Batch [3100] Speed: 1249.30 samples/sec accuracy=0.510547 top_k_accuracy_5=0.745820 | |
| Epoch[52] Batch [3200] Speed: 1253.89 samples/sec accuracy=0.515898 top_k_accuracy_5=0.747617 | |
| Epoch[52] Batch [3300] Speed: 1248.60 samples/sec accuracy=0.513398 top_k_accuracy_5=0.746016 | |
| Epoch[52] Batch [3400] Speed: 1252.33 samples/sec accuracy=0.514180 top_k_accuracy_5=0.748086 | |
| Epoch[52] Batch [3500] Speed: 1241.96 samples/sec accuracy=0.514453 top_k_accuracy_5=0.745586 | |
| Epoch[52] Batch [3600] Speed: 1243.65 samples/sec accuracy=0.509062 top_k_accuracy_5=0.744766 | |
| Epoch[52] Batch [3700] Speed: 1244.67 samples/sec accuracy=0.510703 top_k_accuracy_5=0.745234 | |
| Epoch[52] Batch [3800] Speed: 1235.49 samples/sec accuracy=0.513320 top_k_accuracy_5=0.746406 | |
| Epoch[52] Batch [3900] Speed: 1252.15 samples/sec accuracy=0.508047 top_k_accuracy_5=0.739023 | |
| Epoch[52] Batch [4000] Speed: 1250.35 samples/sec accuracy=0.521094 top_k_accuracy_5=0.751797 | |
| Epoch[52] Batch [4100] Speed: 1252.52 samples/sec accuracy=0.509062 top_k_accuracy_5=0.743008 | |
| Epoch[52] Batch [4200] Speed: 1238.45 samples/sec accuracy=0.513711 top_k_accuracy_5=0.743906 | |
| Epoch[52] Batch [4300] Speed: 1237.88 samples/sec accuracy=0.511836 top_k_accuracy_5=0.741133 | |
| Epoch[52] Batch [4400] Speed: 1251.93 samples/sec accuracy=0.516445 top_k_accuracy_5=0.748320 | |
| Epoch[52] Batch [4500] Speed: 1235.59 samples/sec accuracy=0.510820 top_k_accuracy_5=0.747109 | |
| Epoch[52] Batch [4600] Speed: 1249.88 samples/sec accuracy=0.513594 top_k_accuracy_5=0.746992 | |
| Epoch[52] Batch [4700] Speed: 1237.90 samples/sec accuracy=0.513086 top_k_accuracy_5=0.748477 | |
| Epoch[52] Batch [4800] Speed: 1245.34 samples/sec accuracy=0.514492 top_k_accuracy_5=0.748750 | |
| Epoch[52] Batch [4900] Speed: 1232.98 samples/sec accuracy=0.518320 top_k_accuracy_5=0.753125 | |
| Epoch[52] Batch [5000] Speed: 1248.89 samples/sec accuracy=0.513281 top_k_accuracy_5=0.747266 | |
| Epoch[52] Train-accuracy=0.529948 | |
| Epoch[52] Train-top_k_accuracy_5=0.736979 | |
| Epoch[52] Time cost=1027.657 | |
| Saved checkpoint to "model/resnet18-0053.params" | |
| Epoch[52] Validation-accuracy=0.524539 | |
| Epoch[52] Validation-top_k_accuracy_5=0.760256 | |
| Epoch[53] Batch [100] Speed: 1245.48 samples/sec accuracy=0.512879 top_k_accuracy_5=0.746132 | |
| Epoch[53] Batch [200] Speed: 1245.21 samples/sec accuracy=0.509570 top_k_accuracy_5=0.748164 | |
| Epoch[53] Batch [300] Speed: 1231.04 samples/sec accuracy=0.515273 top_k_accuracy_5=0.747227 | |
| Epoch[53] Batch [400] Speed: 1248.82 samples/sec accuracy=0.506953 top_k_accuracy_5=0.743320 | |
| Epoch[53] Batch [500] Speed: 1239.71 samples/sec accuracy=0.514258 top_k_accuracy_5=0.747305 | |
| Epoch[53] Batch [600] Speed: 1234.77 samples/sec accuracy=0.513750 top_k_accuracy_5=0.748242 | |
| Epoch[53] Batch [700] Speed: 1247.90 samples/sec accuracy=0.512617 top_k_accuracy_5=0.739961 | |
| Epoch[53] Batch [800] Speed: 1238.43 samples/sec accuracy=0.509453 top_k_accuracy_5=0.742734 | |
| Epoch[53] Batch [900] Speed: 1237.46 samples/sec accuracy=0.515898 top_k_accuracy_5=0.748906 | |
| Epoch[53] Batch [1000] Speed: 1227.48 samples/sec accuracy=0.509961 top_k_accuracy_5=0.741797 | |
| Epoch[53] Batch [1100] Speed: 1249.72 samples/sec accuracy=0.514297 top_k_accuracy_5=0.745469 | |
| Epoch[53] Batch [1200] Speed: 1232.88 samples/sec accuracy=0.514453 top_k_accuracy_5=0.745391 | |
| Epoch[53] Batch [1300] Speed: 1244.54 samples/sec accuracy=0.509727 top_k_accuracy_5=0.744687 | |
| Epoch[53] Batch [1400] Speed: 1240.28 samples/sec accuracy=0.515938 top_k_accuracy_5=0.743555 | |
| Epoch[53] Batch [1500] Speed: 1251.94 samples/sec accuracy=0.510078 top_k_accuracy_5=0.741172 | |
| Epoch[53] Batch [1600] Speed: 1232.75 samples/sec accuracy=0.509102 top_k_accuracy_5=0.740781 | |
| Epoch[53] Batch [1700] Speed: 1250.98 samples/sec accuracy=0.513711 top_k_accuracy_5=0.745508 | |
| Epoch[53] Batch [1800] Speed: 1252.83 samples/sec accuracy=0.508320 top_k_accuracy_5=0.745469 | |
| Epoch[53] Batch [1900] Speed: 1252.02 samples/sec accuracy=0.512539 top_k_accuracy_5=0.743477 | |
| Epoch[53] Batch [2000] Speed: 1247.58 samples/sec accuracy=0.509062 top_k_accuracy_5=0.748203 | |
| Epoch[53] Batch [2100] Speed: 1239.04 samples/sec accuracy=0.505586 top_k_accuracy_5=0.741875 | |
| Epoch[53] Batch [2200] Speed: 1246.01 samples/sec accuracy=0.511797 top_k_accuracy_5=0.745742 | |
| Epoch[53] Batch [2300] Speed: 1253.74 samples/sec accuracy=0.510000 top_k_accuracy_5=0.743086 | |
| Epoch[53] Batch [2400] Speed: 1241.89 samples/sec accuracy=0.511367 top_k_accuracy_5=0.744180 | |
| Epoch[53] Batch [2500] Speed: 1243.40 samples/sec accuracy=0.510586 top_k_accuracy_5=0.743242 | |
| Epoch[53] Batch [2600] Speed: 1235.27 samples/sec accuracy=0.514375 top_k_accuracy_5=0.746602 | |
| Epoch[53] Batch [2700] Speed: 1237.98 samples/sec accuracy=0.510273 top_k_accuracy_5=0.739141 | |
| Epoch[53] Batch [2800] Speed: 1244.58 samples/sec accuracy=0.509570 top_k_accuracy_5=0.745234 | |
| Epoch[53] Batch [2900] Speed: 1235.96 samples/sec accuracy=0.516016 top_k_accuracy_5=0.744062 | |
| Epoch[53] Batch [3000] Speed: 1243.63 samples/sec accuracy=0.506523 top_k_accuracy_5=0.743242 | |
| Epoch[53] Batch [3100] Speed: 1251.06 samples/sec accuracy=0.510352 top_k_accuracy_5=0.741328 | |
| Epoch[53] Batch [3200] Speed: 1233.04 samples/sec accuracy=0.515820 top_k_accuracy_5=0.748242 | |
| Epoch[53] Batch [3300] Speed: 1239.09 samples/sec accuracy=0.512070 top_k_accuracy_5=0.743789 | |
| Epoch[53] Batch [3400] Speed: 1252.10 samples/sec accuracy=0.517500 top_k_accuracy_5=0.750156 | |
| Epoch[53] Batch [3500] Speed: 1253.67 samples/sec accuracy=0.514219 top_k_accuracy_5=0.746016 | |
| Epoch[53] Batch [3600] Speed: 1227.57 samples/sec accuracy=0.512656 top_k_accuracy_5=0.743437 | |
| Epoch[53] Batch [3700] Speed: 1254.49 samples/sec accuracy=0.515352 top_k_accuracy_5=0.744648 | |
| Epoch[53] Batch [3800] Speed: 1236.31 samples/sec accuracy=0.510820 top_k_accuracy_5=0.746172 | |
| Epoch[53] Batch [3900] Speed: 1241.89 samples/sec accuracy=0.508164 top_k_accuracy_5=0.744570 | |
| Epoch[53] Batch [4000] Speed: 1238.75 samples/sec accuracy=0.519141 top_k_accuracy_5=0.749883 | |
| Epoch[53] Batch [4100] Speed: 1246.10 samples/sec accuracy=0.512500 top_k_accuracy_5=0.743867 | |
| Epoch[53] Batch [4200] Speed: 1226.36 samples/sec accuracy=0.512656 top_k_accuracy_5=0.745898 | |
| Epoch[53] Batch [4300] Speed: 1252.77 samples/sec accuracy=0.510352 top_k_accuracy_5=0.742031 | |
| Epoch[53] Batch [4400] Speed: 1231.03 samples/sec accuracy=0.514687 top_k_accuracy_5=0.747852 | |
| Epoch[53] Batch [4500] Speed: 1242.89 samples/sec accuracy=0.517891 top_k_accuracy_5=0.750938 | |
| Epoch[53] Batch [4600] Speed: 1248.55 samples/sec accuracy=0.514609 top_k_accuracy_5=0.746523 | |
| Epoch[53] Batch [4700] Speed: 1244.32 samples/sec accuracy=0.514023 top_k_accuracy_5=0.748555 | |
| Epoch[53] Batch [4800] Speed: 1249.42 samples/sec accuracy=0.512500 top_k_accuracy_5=0.744961 | |
| Epoch[53] Batch [4900] Speed: 1235.49 samples/sec accuracy=0.520508 top_k_accuracy_5=0.751094 | |
| Epoch[53] Batch [5000] Speed: 1234.26 samples/sec accuracy=0.511875 top_k_accuracy_5=0.747188 | |
| Epoch[53] Train-accuracy=0.510742 | |
| Epoch[53] Train-top_k_accuracy_5=0.710938 | |
| Epoch[53] Time cost=1031.792 | |
| Saved checkpoint to "model/resnet18-0054.params" | |
| Epoch[53] Validation-accuracy=0.519611 | |
| Epoch[53] Validation-top_k_accuracy_5=0.757232 | |
| Epoch[54] Batch [100] Speed: 1259.32 samples/sec accuracy=0.513188 top_k_accuracy_5=0.748028 | |
| Epoch[54] Batch [200] Speed: 1242.48 samples/sec accuracy=0.511055 top_k_accuracy_5=0.745938 | |
| Epoch[54] Batch [300] Speed: 1238.36 samples/sec accuracy=0.516406 top_k_accuracy_5=0.748672 | |
| Epoch[54] Batch [400] Speed: 1239.66 samples/sec accuracy=0.507930 top_k_accuracy_5=0.744102 | |
| Epoch[54] Batch [500] Speed: 1247.51 samples/sec accuracy=0.515586 top_k_accuracy_5=0.751094 | |
| Epoch[54] Batch [600] Speed: 1240.07 samples/sec accuracy=0.512227 top_k_accuracy_5=0.743125 | |
| Epoch[54] Batch [700] Speed: 1249.12 samples/sec accuracy=0.511055 top_k_accuracy_5=0.743008 | |
| Epoch[54] Batch [800] Speed: 1243.47 samples/sec accuracy=0.512461 top_k_accuracy_5=0.745117 | |
| Epoch[54] Batch [900] Speed: 1249.23 samples/sec accuracy=0.509258 top_k_accuracy_5=0.746367 | |
| Epoch[54] Batch [1000] Speed: 1235.52 samples/sec accuracy=0.511836 top_k_accuracy_5=0.744219 | |
| Epoch[54] Batch [1100] Speed: 1252.12 samples/sec accuracy=0.517734 top_k_accuracy_5=0.747891 | |
| Epoch[54] Batch [1200] Speed: 1245.19 samples/sec accuracy=0.519766 top_k_accuracy_5=0.747344 | |
| Epoch[54] Batch [1300] Speed: 1246.78 samples/sec accuracy=0.509648 top_k_accuracy_5=0.742891 | |
| Epoch[54] Batch [1400] Speed: 1233.37 samples/sec accuracy=0.515859 top_k_accuracy_5=0.751797 | |
| Epoch[54] Batch [1500] Speed: 1246.12 samples/sec accuracy=0.510508 top_k_accuracy_5=0.742773 | |
| Epoch[54] Batch [1600] Speed: 1236.28 samples/sec accuracy=0.508711 top_k_accuracy_5=0.740508 | |
| Epoch[54] Batch [1700] Speed: 1257.08 samples/sec accuracy=0.512656 top_k_accuracy_5=0.745508 | |
| Epoch[54] Batch [1800] Speed: 1237.50 samples/sec accuracy=0.513125 top_k_accuracy_5=0.746914 | |
| Epoch[54] Batch [1900] Speed: 1247.28 samples/sec accuracy=0.513086 top_k_accuracy_5=0.743359 | |
| Epoch[54] Batch [2000] Speed: 1238.55 samples/sec accuracy=0.509336 top_k_accuracy_5=0.745781 | |
| Epoch[54] Batch [2100] Speed: 1247.91 samples/sec accuracy=0.512422 top_k_accuracy_5=0.744844 | |
| Epoch[54] Batch [2200] Speed: 1239.85 samples/sec accuracy=0.514102 top_k_accuracy_5=0.743320 | |
| Epoch[54] Batch [2300] Speed: 1248.92 samples/sec accuracy=0.505859 top_k_accuracy_5=0.741484 | |
| Epoch[54] Batch [2400] Speed: 1236.51 samples/sec accuracy=0.513398 top_k_accuracy_5=0.747812 | |
| Epoch[54] Batch [2500] Speed: 1258.20 samples/sec accuracy=0.510898 top_k_accuracy_5=0.746133 | |
| Epoch[54] Batch [2600] Speed: 1251.27 samples/sec accuracy=0.505273 top_k_accuracy_5=0.745820 | |
| Epoch[54] Batch [2700] Speed: 1242.90 samples/sec accuracy=0.510781 top_k_accuracy_5=0.742383 | |
| Epoch[54] Batch [2800] Speed: 1242.57 samples/sec accuracy=0.514414 top_k_accuracy_5=0.744844 | |
| Epoch[54] Batch [2900] Speed: 1238.15 samples/sec accuracy=0.512656 top_k_accuracy_5=0.744844 | |
| Epoch[54] Batch [3000] Speed: 1234.60 samples/sec accuracy=0.512109 top_k_accuracy_5=0.745859 | |
| Epoch[54] Batch [3100] Speed: 1249.73 samples/sec accuracy=0.511445 top_k_accuracy_5=0.746211 | |
| Epoch[54] Batch [3200] Speed: 1248.76 samples/sec accuracy=0.515508 top_k_accuracy_5=0.749844 | |
| Epoch[54] Batch [3300] Speed: 1241.24 samples/sec accuracy=0.509609 top_k_accuracy_5=0.742344 | |
| Epoch[54] Batch [3400] Speed: 1238.98 samples/sec accuracy=0.513242 top_k_accuracy_5=0.751016 | |
| Epoch[54] Batch [3500] Speed: 1241.13 samples/sec accuracy=0.518789 top_k_accuracy_5=0.748086 | |
| Epoch[54] Batch [3600] Speed: 1242.53 samples/sec accuracy=0.515977 top_k_accuracy_5=0.744844 | |
| Epoch[54] Batch [3700] Speed: 1243.01 samples/sec accuracy=0.512500 top_k_accuracy_5=0.747617 | |
| Epoch[54] Batch [3800] Speed: 1248.06 samples/sec accuracy=0.519180 top_k_accuracy_5=0.749414 | |
| Epoch[54] Batch [3900] Speed: 1229.98 samples/sec accuracy=0.514648 top_k_accuracy_5=0.747617 | |
| Epoch[54] Batch [4000] Speed: 1244.47 samples/sec accuracy=0.520078 top_k_accuracy_5=0.750430 | |
| Epoch[54] Batch [4100] Speed: 1247.49 samples/sec accuracy=0.510117 top_k_accuracy_5=0.743594 | |
| Epoch[54] Batch [4200] Speed: 1246.80 samples/sec accuracy=0.509023 top_k_accuracy_5=0.744687 | |
| Epoch[54] Batch [4300] Speed: 1250.40 samples/sec accuracy=0.513789 top_k_accuracy_5=0.745820 | |
| Epoch[54] Batch [4400] Speed: 1238.15 samples/sec accuracy=0.515117 top_k_accuracy_5=0.746758 | |
| Epoch[54] Batch [4500] Speed: 1266.94 samples/sec accuracy=0.515430 top_k_accuracy_5=0.747031 | |
| Epoch[54] Batch [4600] Speed: 1257.60 samples/sec accuracy=0.512852 top_k_accuracy_5=0.743711 | |
| Epoch[54] Batch [4700] Speed: 1252.26 samples/sec accuracy=0.514336 top_k_accuracy_5=0.745898 | |
| Epoch[54] Batch [4800] Speed: 1254.50 samples/sec accuracy=0.510078 top_k_accuracy_5=0.743398 | |
| Epoch[54] Batch [4900] Speed: 1256.51 samples/sec accuracy=0.516836 top_k_accuracy_5=0.747227 | |
| Epoch[54] Batch [5000] Speed: 1256.55 samples/sec accuracy=0.510508 top_k_accuracy_5=0.747344 | |
| Epoch[54] Train-accuracy=0.506510 | |
| Epoch[54] Train-top_k_accuracy_5=0.752604 | |
| Epoch[54] Time cost=1028.820 | |
| Saved checkpoint to "model/resnet18-0055.params" | |
| Epoch[54] Validation-accuracy=0.517857 | |
| Epoch[54] Validation-top_k_accuracy_5=0.756318 | |
| Epoch[55] Batch [100] Speed: 1258.73 samples/sec accuracy=0.513382 top_k_accuracy_5=0.753984 | |
| Epoch[55] Batch [200] Speed: 1251.23 samples/sec accuracy=0.514922 top_k_accuracy_5=0.746563 | |
| Epoch[55] Batch [300] Speed: 1237.25 samples/sec accuracy=0.511484 top_k_accuracy_5=0.746992 | |
| Epoch[55] Batch [400] Speed: 1255.65 samples/sec accuracy=0.509141 top_k_accuracy_5=0.744219 | |
| Epoch[55] Batch [500] Speed: 1259.93 samples/sec accuracy=0.515664 top_k_accuracy_5=0.750078 | |
| Epoch[55] Batch [600] Speed: 1269.55 samples/sec accuracy=0.516992 top_k_accuracy_5=0.748516 | |
| Epoch[55] Batch [700] Speed: 1258.46 samples/sec accuracy=0.505117 top_k_accuracy_5=0.740430 | |
| Epoch[55] Batch [800] Speed: 1257.62 samples/sec accuracy=0.510273 top_k_accuracy_5=0.743555 | |
| Epoch[55] Batch [900] Speed: 1249.29 samples/sec accuracy=0.514336 top_k_accuracy_5=0.747305 | |
| Epoch[55] Batch [1000] Speed: 1246.56 samples/sec accuracy=0.514414 top_k_accuracy_5=0.747188 | |
| Epoch[55] Batch [1100] Speed: 1253.78 samples/sec accuracy=0.517656 top_k_accuracy_5=0.747305 | |
| Epoch[55] Batch [1200] Speed: 1261.26 samples/sec accuracy=0.511992 top_k_accuracy_5=0.746055 | |
| Epoch[55] Batch [1300] Speed: 1250.17 samples/sec accuracy=0.513789 top_k_accuracy_5=0.746328 | |
| Epoch[55] Batch [1400] Speed: 1257.94 samples/sec accuracy=0.520039 top_k_accuracy_5=0.751875 | |
| Epoch[55] Batch [1500] Speed: 1251.22 samples/sec accuracy=0.510156 top_k_accuracy_5=0.742930 | |
| Epoch[55] Batch [1600] Speed: 1255.80 samples/sec accuracy=0.509023 top_k_accuracy_5=0.739297 | |
| Epoch[55] Batch [1700] Speed: 1244.71 samples/sec accuracy=0.510117 top_k_accuracy_5=0.746719 | |
| Epoch[55] Batch [1800] Speed: 1252.29 samples/sec accuracy=0.517969 top_k_accuracy_5=0.748711 | |
| Epoch[55] Batch [1900] Speed: 1257.28 samples/sec accuracy=0.512695 top_k_accuracy_5=0.746563 | |
| Epoch[55] Batch [2000] Speed: 1249.25 samples/sec accuracy=0.513984 top_k_accuracy_5=0.743398 | |
| Epoch[55] Batch [2100] Speed: 1253.59 samples/sec accuracy=0.512383 top_k_accuracy_5=0.743711 | |
| Epoch[55] Batch [2200] Speed: 1255.13 samples/sec accuracy=0.513047 top_k_accuracy_5=0.744258 | |
| Epoch[55] Batch [2300] Speed: 1258.18 samples/sec accuracy=0.510625 top_k_accuracy_5=0.740703 | |
| Epoch[55] Batch [2400] Speed: 1233.77 samples/sec accuracy=0.513125 top_k_accuracy_5=0.745195 | |
| Epoch[55] Batch [2500] Speed: 1245.30 samples/sec accuracy=0.514219 top_k_accuracy_5=0.738984 | |
| Epoch[55] Batch [2600] Speed: 1242.92 samples/sec accuracy=0.512188 top_k_accuracy_5=0.744492 | |
| Epoch[55] Batch [2700] Speed: 1241.09 samples/sec accuracy=0.512461 top_k_accuracy_5=0.743203 | |
| Epoch[55] Batch [2800] Speed: 1238.59 samples/sec accuracy=0.513828 top_k_accuracy_5=0.745781 | |
| Epoch[55] Batch [2900] Speed: 1237.06 samples/sec accuracy=0.515586 top_k_accuracy_5=0.744609 | |
| Epoch[55] Batch [3000] Speed: 1225.18 samples/sec accuracy=0.508711 top_k_accuracy_5=0.742812 | |
| Epoch[55] Batch [3100] Speed: 1239.10 samples/sec accuracy=0.509141 top_k_accuracy_5=0.743359 | |
| Epoch[55] Batch [3200] Speed: 1234.54 samples/sec accuracy=0.515000 top_k_accuracy_5=0.744648 | |
| Epoch[55] Batch [3300] Speed: 1241.76 samples/sec accuracy=0.515078 top_k_accuracy_5=0.750313 | |
| Epoch[55] Batch [3400] Speed: 1245.53 samples/sec accuracy=0.516680 top_k_accuracy_5=0.749961 | |
| Epoch[55] Batch [3500] Speed: 1234.63 samples/sec accuracy=0.518672 top_k_accuracy_5=0.743906 | |
| Epoch[55] Batch [3600] Speed: 1236.93 samples/sec accuracy=0.515234 top_k_accuracy_5=0.748008 | |
| Epoch[55] Batch [3700] Speed: 1235.18 samples/sec accuracy=0.514687 top_k_accuracy_5=0.747227 | |
| Epoch[55] Batch [3800] Speed: 1249.54 samples/sec accuracy=0.513594 top_k_accuracy_5=0.743281 | |
| Epoch[55] Batch [3900] Speed: 1247.77 samples/sec accuracy=0.514297 top_k_accuracy_5=0.744141 | |
| Epoch[55] Batch [4000] Speed: 1249.51 samples/sec accuracy=0.516211 top_k_accuracy_5=0.752500 | |
| Epoch[55] Batch [4100] Speed: 1250.27 samples/sec accuracy=0.507578 top_k_accuracy_5=0.743047 | |
| Epoch[55] Batch [4200] Speed: 1244.80 samples/sec accuracy=0.516875 top_k_accuracy_5=0.747305 | |
| Epoch[55] Batch [4300] Speed: 1248.72 samples/sec accuracy=0.512695 top_k_accuracy_5=0.748555 | |
| Epoch[55] Batch [4400] Speed: 1247.53 samples/sec accuracy=0.516523 top_k_accuracy_5=0.748359 | |
| Epoch[55] Batch [4500] Speed: 1245.77 samples/sec accuracy=0.516914 top_k_accuracy_5=0.750508 | |
| Epoch[55] Batch [4600] Speed: 1255.22 samples/sec accuracy=0.515117 top_k_accuracy_5=0.746250 | |
| Epoch[55] Batch [4700] Speed: 1252.39 samples/sec accuracy=0.513633 top_k_accuracy_5=0.747383 | |
| Epoch[55] Batch [4800] Speed: 1253.00 samples/sec accuracy=0.511641 top_k_accuracy_5=0.744258 | |
| Epoch[55] Batch [4900] Speed: 1251.25 samples/sec accuracy=0.520430 top_k_accuracy_5=0.752383 | |
| Epoch[55] Batch [5000] Speed: 1242.42 samples/sec accuracy=0.512578 top_k_accuracy_5=0.748047 | |
| Epoch[55] Train-accuracy=0.500000 | |
| Epoch[55] Train-top_k_accuracy_5=0.729492 | |
| Epoch[55] Time cost=1026.874 | |
| Saved checkpoint to "model/resnet18-0056.params" | |
| Epoch[55] Validation-accuracy=0.523297 | |
| Epoch[55] Validation-top_k_accuracy_5=0.759195 | |
| Epoch[56] Batch [100] Speed: 1250.67 samples/sec accuracy=0.516399 top_k_accuracy_5=0.747254 | |
| Epoch[56] Batch [200] Speed: 1238.01 samples/sec accuracy=0.514844 top_k_accuracy_5=0.749219 | |
| Epoch[56] Batch [300] Speed: 1219.23 samples/sec accuracy=0.518281 top_k_accuracy_5=0.749570 | |
| Epoch[56] Batch [400] Speed: 1242.79 samples/sec accuracy=0.511016 top_k_accuracy_5=0.745703 | |
| Epoch[56] Batch [500] Speed: 1249.40 samples/sec accuracy=0.517383 top_k_accuracy_5=0.749062 | |
| Epoch[56] Batch [600] Speed: 1236.01 samples/sec accuracy=0.511172 top_k_accuracy_5=0.747461 | |
| Epoch[56] Batch [700] Speed: 1222.09 samples/sec accuracy=0.511211 top_k_accuracy_5=0.745703 | |
| Epoch[56] Batch [800] Speed: 1212.69 samples/sec accuracy=0.506992 top_k_accuracy_5=0.743164 | |
| Epoch[56] Batch [900] Speed: 1218.48 samples/sec accuracy=0.515039 top_k_accuracy_5=0.744961 | |
| Epoch[56] Batch [1000] Speed: 1221.50 samples/sec accuracy=0.510078 top_k_accuracy_5=0.745352 | |
| Epoch[56] Batch [1100] Speed: 1223.64 samples/sec accuracy=0.521016 top_k_accuracy_5=0.748555 | |
| Epoch[56] Batch [1200] Speed: 1228.67 samples/sec accuracy=0.513867 top_k_accuracy_5=0.746055 | |
| Epoch[56] Batch [1300] Speed: 1221.73 samples/sec accuracy=0.507695 top_k_accuracy_5=0.736523 | |
| Epoch[56] Batch [1400] Speed: 1224.89 samples/sec accuracy=0.516758 top_k_accuracy_5=0.746563 | |
| Epoch[56] Batch [1500] Speed: 1203.33 samples/sec accuracy=0.511758 top_k_accuracy_5=0.743945 | |
| Epoch[56] Batch [1600] Speed: 1218.49 samples/sec accuracy=0.509492 top_k_accuracy_5=0.742539 | |
| Epoch[56] Batch [1700] Speed: 1229.56 samples/sec accuracy=0.512344 top_k_accuracy_5=0.747930 | |
| Epoch[56] Batch [1800] Speed: 1217.88 samples/sec accuracy=0.514023 top_k_accuracy_5=0.748633 | |
| Epoch[56] Batch [1900] Speed: 1215.70 samples/sec accuracy=0.513555 top_k_accuracy_5=0.747344 | |
| Epoch[56] Batch [2000] Speed: 1227.36 samples/sec accuracy=0.517656 top_k_accuracy_5=0.742422 | |
| Epoch[56] Batch [2100] Speed: 1228.22 samples/sec accuracy=0.513594 top_k_accuracy_5=0.745391 | |
| Epoch[56] Batch [2200] Speed: 1222.95 samples/sec accuracy=0.516250 top_k_accuracy_5=0.749961 | |
| Epoch[56] Batch [2300] Speed: 1217.58 samples/sec accuracy=0.509922 top_k_accuracy_5=0.741992 | |
| Epoch[56] Batch [2400] Speed: 1224.39 samples/sec accuracy=0.510664 top_k_accuracy_5=0.746094 | |
| Epoch[56] Batch [2500] Speed: 1210.11 samples/sec accuracy=0.513789 top_k_accuracy_5=0.748477 | |
| Epoch[56] Batch [2600] Speed: 1214.73 samples/sec accuracy=0.518516 top_k_accuracy_5=0.751445 | |
| Epoch[56] Batch [2700] Speed: 1215.99 samples/sec accuracy=0.512148 top_k_accuracy_5=0.743672 | |
| Epoch[56] Batch [2800] Speed: 1225.52 samples/sec accuracy=0.514609 top_k_accuracy_5=0.747578 | |
| Epoch[56] Batch [2900] Speed: 1226.44 samples/sec accuracy=0.518867 top_k_accuracy_5=0.748984 | |
| Epoch[56] Batch [3000] Speed: 1224.20 samples/sec accuracy=0.510000 top_k_accuracy_5=0.744805 | |
| Epoch[56] Batch [3100] Speed: 1234.67 samples/sec accuracy=0.512930 top_k_accuracy_5=0.742305 | |
| Epoch[56] Batch [3200] Speed: 1225.22 samples/sec accuracy=0.520391 top_k_accuracy_5=0.751641 | |
| Epoch[56] Batch [3300] Speed: 1225.61 samples/sec accuracy=0.512813 top_k_accuracy_5=0.744883 | |
| Epoch[56] Batch [3400] Speed: 1212.87 samples/sec accuracy=0.516250 top_k_accuracy_5=0.747188 | |
| Epoch[56] Batch [3500] Speed: 1215.38 samples/sec accuracy=0.515391 top_k_accuracy_5=0.745547 | |
| Epoch[56] Batch [3600] Speed: 1214.34 samples/sec accuracy=0.511758 top_k_accuracy_5=0.746563 | |
| Epoch[56] Batch [3700] Speed: 1216.72 samples/sec accuracy=0.512617 top_k_accuracy_5=0.743242 | |
| Epoch[56] Batch [3800] Speed: 1225.29 samples/sec accuracy=0.513398 top_k_accuracy_5=0.743047 | |
| Epoch[56] Batch [3900] Speed: 1223.73 samples/sec accuracy=0.509375 top_k_accuracy_5=0.741250 | |
| Epoch[56] Batch [4000] Speed: 1230.87 samples/sec accuracy=0.519414 top_k_accuracy_5=0.750938 | |
| Epoch[56] Batch [4100] Speed: 1219.77 samples/sec accuracy=0.510938 top_k_accuracy_5=0.744922 | |
| Epoch[56] Batch [4200] Speed: 1226.10 samples/sec accuracy=0.513281 top_k_accuracy_5=0.746523 | |
| Epoch[56] Batch [4300] Speed: 1226.96 samples/sec accuracy=0.513906 top_k_accuracy_5=0.744648 | |
| Epoch[56] Batch [4400] Speed: 1229.53 samples/sec accuracy=0.516797 top_k_accuracy_5=0.747422 | |
| Epoch[56] Batch [4500] Speed: 1203.87 samples/sec accuracy=0.516563 top_k_accuracy_5=0.751797 | |
| Epoch[56] Batch [4600] Speed: 1224.82 samples/sec accuracy=0.512969 top_k_accuracy_5=0.744844 | |
| Epoch[56] Batch [4700] Speed: 1222.91 samples/sec accuracy=0.516211 top_k_accuracy_5=0.747695 | |
| Epoch[56] Batch [4800] Speed: 1228.87 samples/sec accuracy=0.509687 top_k_accuracy_5=0.747266 | |
| Epoch[56] Batch [4900] Speed: 1212.34 samples/sec accuracy=0.519453 top_k_accuracy_5=0.750078 | |
| Epoch[56] Batch [5000] Speed: 1227.74 samples/sec accuracy=0.512461 top_k_accuracy_5=0.744375 | |
| Epoch[56] Train-accuracy=0.505208 | |
| Epoch[56] Train-top_k_accuracy_5=0.725260 | |
| Epoch[56] Time cost=1047.339 | |
| Saved checkpoint to "model/resnet18-0057.params" | |
| Epoch[56] Validation-accuracy=0.517929 | |
| Epoch[56] Validation-top_k_accuracy_5=0.754748 | |
| Epoch[57] Batch [100] Speed: 1227.73 samples/sec accuracy=0.516515 top_k_accuracy_5=0.748878 | |
| Epoch[57] Batch [200] Speed: 1209.03 samples/sec accuracy=0.512813 top_k_accuracy_5=0.744570 | |
| Epoch[57] Batch [300] Speed: 1216.39 samples/sec accuracy=0.516484 top_k_accuracy_5=0.749375 | |
| Epoch[57] Batch [400] Speed: 1217.82 samples/sec accuracy=0.515078 top_k_accuracy_5=0.743594 | |
| Epoch[57] Batch [500] Speed: 1213.32 samples/sec accuracy=0.519609 top_k_accuracy_5=0.746641 | |
| Epoch[57] Batch [600] Speed: 1239.34 samples/sec accuracy=0.515117 top_k_accuracy_5=0.745703 | |
| Epoch[57] Batch [700] Speed: 1225.16 samples/sec accuracy=0.513477 top_k_accuracy_5=0.746055 | |
| Epoch[57] Batch [800] Speed: 1224.48 samples/sec accuracy=0.511836 top_k_accuracy_5=0.748789 | |
| Epoch[57] Batch [900] Speed: 1219.33 samples/sec accuracy=0.514648 top_k_accuracy_5=0.745977 | |
| Epoch[57] Batch [1000] Speed: 1215.26 samples/sec accuracy=0.514687 top_k_accuracy_5=0.748164 | |
| Epoch[57] Batch [1100] Speed: 1214.90 samples/sec accuracy=0.517422 top_k_accuracy_5=0.747617 | |
| Epoch[57] Batch [1200] Speed: 1231.67 samples/sec accuracy=0.515273 top_k_accuracy_5=0.744922 | |
| Epoch[57] Batch [1300] Speed: 1218.57 samples/sec accuracy=0.511914 top_k_accuracy_5=0.743125 | |
| Epoch[57] Batch [1400] Speed: 1226.73 samples/sec accuracy=0.521914 top_k_accuracy_5=0.749844 | |
| Epoch[57] Batch [1500] Speed: 1210.39 samples/sec accuracy=0.512461 top_k_accuracy_5=0.745898 | |
| Epoch[57] Batch [1600] Speed: 1215.16 samples/sec accuracy=0.511680 top_k_accuracy_5=0.747578 | |
| Epoch[57] Batch [1700] Speed: 1222.41 samples/sec accuracy=0.516211 top_k_accuracy_5=0.747734 | |
| Epoch[57] Batch [1800] Speed: 1229.82 samples/sec accuracy=0.510000 top_k_accuracy_5=0.744219 | |
| Epoch[57] Batch [1900] Speed: 1226.76 samples/sec accuracy=0.514570 top_k_accuracy_5=0.747852 | |
| Epoch[57] Batch [2000] Speed: 1214.57 samples/sec accuracy=0.516563 top_k_accuracy_5=0.746875 | |
| Epoch[57] Batch [2100] Speed: 1222.18 samples/sec accuracy=0.509766 top_k_accuracy_5=0.738984 | |
| Epoch[57] Batch [2200] Speed: 1226.77 samples/sec accuracy=0.513594 top_k_accuracy_5=0.744414 | |
| Epoch[57] Batch [2300] Speed: 1225.14 samples/sec accuracy=0.514297 top_k_accuracy_5=0.740664 | |
| Epoch[57] Batch [2400] Speed: 1230.35 samples/sec accuracy=0.512305 top_k_accuracy_5=0.741836 | |
| Epoch[57] Batch [2500] Speed: 1215.31 samples/sec accuracy=0.511172 top_k_accuracy_5=0.744180 | |
| Epoch[57] Batch [2600] Speed: 1221.72 samples/sec accuracy=0.513008 top_k_accuracy_5=0.747930 | |
| Epoch[57] Batch [2700] Speed: 1222.47 samples/sec accuracy=0.514062 top_k_accuracy_5=0.744258 | |
| Epoch[57] Batch [2800] Speed: 1222.25 samples/sec accuracy=0.515000 top_k_accuracy_5=0.745781 | |
| Epoch[57] Batch [2900] Speed: 1220.97 samples/sec accuracy=0.519883 top_k_accuracy_5=0.750391 | |
| Epoch[57] Batch [3000] Speed: 1225.68 samples/sec accuracy=0.510078 top_k_accuracy_5=0.745781 | |
| Epoch[57] Batch [3100] Speed: 1212.25 samples/sec accuracy=0.511875 top_k_accuracy_5=0.746563 | |
| Epoch[57] Batch [3200] Speed: 1215.52 samples/sec accuracy=0.516836 top_k_accuracy_5=0.749922 | |
| Epoch[57] Batch [3300] Speed: 1216.06 samples/sec accuracy=0.519570 top_k_accuracy_5=0.748633 | |
| Epoch[57] Batch [3400] Speed: 1214.09 samples/sec accuracy=0.513203 top_k_accuracy_5=0.748594 | |
| Epoch[57] Batch [3500] Speed: 1212.72 samples/sec accuracy=0.518789 top_k_accuracy_5=0.748633 | |
| Epoch[57] Batch [3600] Speed: 1216.15 samples/sec accuracy=0.509961 top_k_accuracy_5=0.743984 | |
| Epoch[57] Batch [3700] Speed: 1214.36 samples/sec accuracy=0.514102 top_k_accuracy_5=0.753242 | |
| Epoch[57] Batch [3800] Speed: 1229.80 samples/sec accuracy=0.518359 top_k_accuracy_5=0.749492 | |
| Epoch[57] Batch [3900] Speed: 1226.62 samples/sec accuracy=0.513242 top_k_accuracy_5=0.741133 | |
| Epoch[57] Batch [4000] Speed: 1228.40 samples/sec accuracy=0.520742 top_k_accuracy_5=0.752891 | |
| Epoch[57] Batch [4100] Speed: 1215.79 samples/sec accuracy=0.510938 top_k_accuracy_5=0.746016 | |
| Epoch[57] Batch [4200] Speed: 1210.83 samples/sec accuracy=0.514453 top_k_accuracy_5=0.745664 | |
| Epoch[57] Batch [4300] Speed: 1222.27 samples/sec accuracy=0.512539 top_k_accuracy_5=0.746406 | |
| Epoch[57] Batch [4400] Speed: 1228.41 samples/sec accuracy=0.516016 top_k_accuracy_5=0.750117 | |
| Epoch[57] Batch [4500] Speed: 1217.44 samples/sec accuracy=0.513750 top_k_accuracy_5=0.745508 | |
| Epoch[57] Batch [4600] Speed: 1212.92 samples/sec accuracy=0.512773 top_k_accuracy_5=0.751641 | |
| Epoch[57] Batch [4700] Speed: 1212.78 samples/sec accuracy=0.513828 top_k_accuracy_5=0.747656 | |
| Epoch[57] Batch [4800] Speed: 1217.87 samples/sec accuracy=0.510625 top_k_accuracy_5=0.745508 | |
| Epoch[57] Batch [4900] Speed: 1215.78 samples/sec accuracy=0.522305 top_k_accuracy_5=0.751992 | |
| Epoch[57] Batch [5000] Speed: 1229.66 samples/sec accuracy=0.512813 top_k_accuracy_5=0.750547 | |
| Epoch[57] Train-accuracy=0.509766 | |
| Epoch[57] Train-top_k_accuracy_5=0.738281 | |
| Epoch[57] Time cost=1050.251 | |
| Saved checkpoint to "model/resnet18-0058.params" | |
| Epoch[57] Validation-accuracy=0.516063 | |
| Epoch[57] Validation-top_k_accuracy_5=0.754125 | |
| Epoch[58] Batch [100] Speed: 1219.57 samples/sec accuracy=0.520653 top_k_accuracy_5=0.751508 | |
| Epoch[58] Batch [200] Speed: 1219.59 samples/sec accuracy=0.518281 top_k_accuracy_5=0.747695 | |
| Epoch[58] Batch [300] Speed: 1215.60 samples/sec accuracy=0.517109 top_k_accuracy_5=0.750703 | |
| Epoch[58] Batch [400] Speed: 1218.01 samples/sec accuracy=0.510859 top_k_accuracy_5=0.745469 | |
| Epoch[58] Batch [500] Speed: 1221.40 samples/sec accuracy=0.519609 top_k_accuracy_5=0.746836 | |
| Epoch[58] Batch [600] Speed: 1220.15 samples/sec accuracy=0.514336 top_k_accuracy_5=0.745352 | |
| Epoch[58] Batch [700] Speed: 1233.79 samples/sec accuracy=0.515234 top_k_accuracy_5=0.746250 | |
| Epoch[58] Batch [800] Speed: 1216.18 samples/sec accuracy=0.510234 top_k_accuracy_5=0.742734 | |
| Epoch[58] Batch [900] Speed: 1226.83 samples/sec accuracy=0.517500 top_k_accuracy_5=0.746836 | |
| Epoch[58] Batch [1000] Speed: 1217.26 samples/sec accuracy=0.513828 top_k_accuracy_5=0.747188 | |
| Epoch[58] Batch [1100] Speed: 1222.33 samples/sec accuracy=0.516719 top_k_accuracy_5=0.748672 | |
| Epoch[58] Batch [1200] Speed: 1223.97 samples/sec accuracy=0.513867 top_k_accuracy_5=0.751641 | |
| Epoch[58] Batch [1300] Speed: 1219.83 samples/sec accuracy=0.517266 top_k_accuracy_5=0.743242 | |
| Epoch[58] Batch [1400] Speed: 1221.16 samples/sec accuracy=0.513594 top_k_accuracy_5=0.746563 | |
| Epoch[58] Batch [1500] Speed: 1231.73 samples/sec accuracy=0.514102 top_k_accuracy_5=0.746211 | |
| Epoch[58] Batch [1600] Speed: 1228.31 samples/sec accuracy=0.512539 top_k_accuracy_5=0.745977 | |
| Epoch[58] Batch [1700] Speed: 1228.05 samples/sec accuracy=0.511484 top_k_accuracy_5=0.745703 | |
| Epoch[58] Batch [1800] Speed: 1218.70 samples/sec accuracy=0.513789 top_k_accuracy_5=0.749687 | |
| Epoch[58] Batch [1900] Speed: 1224.06 samples/sec accuracy=0.518750 top_k_accuracy_5=0.753711 | |
| Epoch[58] Batch [2000] Speed: 1243.65 samples/sec accuracy=0.514844 top_k_accuracy_5=0.745586 | |
| Epoch[58] Batch [2100] Speed: 1228.30 samples/sec accuracy=0.511953 top_k_accuracy_5=0.745156 | |
| Epoch[58] Batch [2200] Speed: 1224.07 samples/sec accuracy=0.515469 top_k_accuracy_5=0.745391 | |
| Epoch[58] Batch [2300] Speed: 1213.43 samples/sec accuracy=0.510898 top_k_accuracy_5=0.748437 | |
| Epoch[58] Batch [2400] Speed: 1221.53 samples/sec accuracy=0.510781 top_k_accuracy_5=0.746836 | |
| Epoch[58] Batch [2500] Speed: 1224.47 samples/sec accuracy=0.511719 top_k_accuracy_5=0.744297 | |
| Epoch[58] Batch [2600] Speed: 1219.78 samples/sec accuracy=0.513398 top_k_accuracy_5=0.752422 | |
| Epoch[58] Batch [2700] Speed: 1232.95 samples/sec accuracy=0.519570 top_k_accuracy_5=0.746758 | |
| Epoch[58] Batch [2800] Speed: 1228.21 samples/sec accuracy=0.515586 top_k_accuracy_5=0.749570 | |
| Epoch[58] Batch [2900] Speed: 1225.46 samples/sec accuracy=0.518203 top_k_accuracy_5=0.753125 | |
| Epoch[58] Batch [3000] Speed: 1222.96 samples/sec accuracy=0.507188 top_k_accuracy_5=0.745859 | |
| Epoch[58] Batch [3100] Speed: 1234.81 samples/sec accuracy=0.511836 top_k_accuracy_5=0.748008 | |
| Epoch[58] Batch [3200] Speed: 1213.86 samples/sec accuracy=0.523555 top_k_accuracy_5=0.751289 | |
| Epoch[58] Batch [3300] Speed: 1219.95 samples/sec accuracy=0.515625 top_k_accuracy_5=0.749492 | |
| Epoch[58] Batch [3400] Speed: 1216.97 samples/sec accuracy=0.519766 top_k_accuracy_5=0.751680 | |
| Epoch[58] Batch [3500] Speed: 1220.03 samples/sec accuracy=0.517266 top_k_accuracy_5=0.744961 | |
| Epoch[58] Batch [3600] Speed: 1229.58 samples/sec accuracy=0.516328 top_k_accuracy_5=0.752891 | |
| Epoch[58] Batch [3700] Speed: 1228.68 samples/sec accuracy=0.515469 top_k_accuracy_5=0.743672 | |
| Epoch[58] Batch [3800] Speed: 1218.40 samples/sec accuracy=0.511563 top_k_accuracy_5=0.747578 | |
| Epoch[58] Batch [3900] Speed: 1232.21 samples/sec accuracy=0.516758 top_k_accuracy_5=0.746133 | |
| Epoch[58] Batch [4000] Speed: 1213.37 samples/sec accuracy=0.515586 top_k_accuracy_5=0.747305 | |
| Epoch[58] Batch [4100] Speed: 1222.75 samples/sec accuracy=0.513359 top_k_accuracy_5=0.747422 | |
| Epoch[58] Batch [4200] Speed: 1222.47 samples/sec accuracy=0.512656 top_k_accuracy_5=0.743555 | |
| Epoch[58] Batch [4300] Speed: 1229.72 samples/sec accuracy=0.513750 top_k_accuracy_5=0.749062 | |
| Epoch[58] Batch [4400] Speed: 1219.23 samples/sec accuracy=0.519219 top_k_accuracy_5=0.752188 | |
| Epoch[58] Batch [4500] Speed: 1223.65 samples/sec accuracy=0.512813 top_k_accuracy_5=0.750820 | |
| Epoch[58] Batch [4600] Speed: 1223.07 samples/sec accuracy=0.516367 top_k_accuracy_5=0.748828 | |
| Epoch[58] Batch [4700] Speed: 1234.46 samples/sec accuracy=0.512891 top_k_accuracy_5=0.744531 | |
| Epoch[58] Batch [4800] Speed: 1226.99 samples/sec accuracy=0.514258 top_k_accuracy_5=0.746172 | |
| Epoch[58] Batch [4900] Speed: 1224.23 samples/sec accuracy=0.518047 top_k_accuracy_5=0.749062 | |
| Epoch[58] Batch [5000] Speed: 1219.42 samples/sec accuracy=0.513477 top_k_accuracy_5=0.745156 | |
| Epoch[58] Train-accuracy=0.502604 | |
| Epoch[58] Train-top_k_accuracy_5=0.731771 | |
| Epoch[58] Time cost=1047.171 | |
| Saved checkpoint to "model/resnet18-0059.params" | |
| Epoch[58] Validation-accuracy=0.518970 | |
| Epoch[58] Validation-top_k_accuracy_5=0.757893 | |
| Epoch[59] Batch [100] Speed: 1230.46 samples/sec accuracy=0.518835 top_k_accuracy_5=0.748801 | |
| Epoch[59] Batch [200] Speed: 1232.12 samples/sec accuracy=0.516289 top_k_accuracy_5=0.748125 | |
| Epoch[59] Batch [300] Speed: 1213.12 samples/sec accuracy=0.518477 top_k_accuracy_5=0.749922 | |
| Epoch[59] Batch [400] Speed: 1234.74 samples/sec accuracy=0.512305 top_k_accuracy_5=0.744531 | |
| Epoch[59] Batch [500] Speed: 1240.85 samples/sec accuracy=0.516211 top_k_accuracy_5=0.746445 | |
| Epoch[59] Batch [600] Speed: 1231.26 samples/sec accuracy=0.519219 top_k_accuracy_5=0.752422 | |
| Epoch[59] Batch [700] Speed: 1228.86 samples/sec accuracy=0.508477 top_k_accuracy_5=0.745078 | |
| Epoch[59] Batch [800] Speed: 1223.85 samples/sec accuracy=0.512109 top_k_accuracy_5=0.744492 | |
| Epoch[59] Batch [900] Speed: 1217.62 samples/sec accuracy=0.508672 top_k_accuracy_5=0.740078 | |
| Epoch[59] Batch [1000] Speed: 1225.43 samples/sec accuracy=0.513281 top_k_accuracy_5=0.744609 | |
| Epoch[59] Batch [1100] Speed: 1228.98 samples/sec accuracy=0.519570 top_k_accuracy_5=0.747969 | |
| Epoch[59] Batch [1200] Speed: 1232.10 samples/sec accuracy=0.513164 top_k_accuracy_5=0.747305 | |
| Epoch[59] Batch [1300] Speed: 1231.82 samples/sec accuracy=0.513672 top_k_accuracy_5=0.748359 | |
| Epoch[59] Batch [1400] Speed: 1235.32 samples/sec accuracy=0.514453 top_k_accuracy_5=0.746523 | |
| Epoch[59] Batch [1500] Speed: 1246.65 samples/sec accuracy=0.507031 top_k_accuracy_5=0.748008 | |
| Epoch[59] Batch [1600] Speed: 1232.98 samples/sec accuracy=0.512109 top_k_accuracy_5=0.746367 | |
| Epoch[59] Batch [1700] Speed: 1247.51 samples/sec accuracy=0.517344 top_k_accuracy_5=0.751641 | |
| Epoch[59] Batch [1800] Speed: 1240.29 samples/sec accuracy=0.519102 top_k_accuracy_5=0.747539 | |
| Epoch[59] Batch [1900] Speed: 1235.10 samples/sec accuracy=0.519648 top_k_accuracy_5=0.749023 | |
| Epoch[59] Batch [2000] Speed: 1235.51 samples/sec accuracy=0.513945 top_k_accuracy_5=0.744570 | |
| Epoch[59] Batch [2100] Speed: 1252.93 samples/sec accuracy=0.507617 top_k_accuracy_5=0.743906 | |
| Epoch[59] Batch [2200] Speed: 1241.24 samples/sec accuracy=0.516836 top_k_accuracy_5=0.746367 | |
| Epoch[59] Batch [2300] Speed: 1261.37 samples/sec accuracy=0.510234 top_k_accuracy_5=0.746094 | |
| Epoch[59] Batch [2400] Speed: 1249.60 samples/sec accuracy=0.511563 top_k_accuracy_5=0.747500 | |
| Epoch[59] Batch [2500] Speed: 1234.59 samples/sec accuracy=0.511680 top_k_accuracy_5=0.748359 | |
| Epoch[59] Batch [2600] Speed: 1244.69 samples/sec accuracy=0.514219 top_k_accuracy_5=0.751953 | |
| Epoch[59] Batch [2700] Speed: 1241.98 samples/sec accuracy=0.515664 top_k_accuracy_5=0.746719 | |
| Epoch[59] Batch [2800] Speed: 1240.63 samples/sec accuracy=0.516328 top_k_accuracy_5=0.750625 | |
| Epoch[59] Batch [2900] Speed: 1247.32 samples/sec accuracy=0.519219 top_k_accuracy_5=0.748398 | |
| Epoch[59] Batch [3000] Speed: 1238.38 samples/sec accuracy=0.511836 top_k_accuracy_5=0.747695 | |
| Epoch[59] Batch [3100] Speed: 1242.52 samples/sec accuracy=0.515586 top_k_accuracy_5=0.748516 | |
| Epoch[59] Batch [3200] Speed: 1246.61 samples/sec accuracy=0.516289 top_k_accuracy_5=0.751758 | |
| Epoch[59] Batch [3300] Speed: 1238.74 samples/sec accuracy=0.512227 top_k_accuracy_5=0.744609 | |
| Epoch[59] Batch [3400] Speed: 1243.97 samples/sec accuracy=0.513164 top_k_accuracy_5=0.750469 | |
| Epoch[59] Batch [3500] Speed: 1246.27 samples/sec accuracy=0.514648 top_k_accuracy_5=0.746289 | |
| Epoch[59] Batch [3600] Speed: 1241.58 samples/sec accuracy=0.514922 top_k_accuracy_5=0.749922 | |
| Epoch[59] Batch [3700] Speed: 1244.70 samples/sec accuracy=0.511563 top_k_accuracy_5=0.743477 | |
| Epoch[59] Batch [3800] Speed: 1239.60 samples/sec accuracy=0.513320 top_k_accuracy_5=0.749258 | |
| Epoch[59] Batch [3900] Speed: 1250.02 samples/sec accuracy=0.515508 top_k_accuracy_5=0.745273 | |
| Epoch[59] Batch [4000] Speed: 1249.99 samples/sec accuracy=0.520508 top_k_accuracy_5=0.748203 | |
| Epoch[59] Batch [4100] Speed: 1242.63 samples/sec accuracy=0.510352 top_k_accuracy_5=0.742812 | |
| Epoch[59] Batch [4200] Speed: 1246.18 samples/sec accuracy=0.522539 top_k_accuracy_5=0.754414 | |
| Epoch[59] Batch [4300] Speed: 1245.75 samples/sec accuracy=0.516172 top_k_accuracy_5=0.743320 | |
| Epoch[59] Batch [4400] Speed: 1256.01 samples/sec accuracy=0.515586 top_k_accuracy_5=0.746992 | |
| Epoch[59] Batch [4500] Speed: 1237.97 samples/sec accuracy=0.520859 top_k_accuracy_5=0.752734 | |
| Epoch[59] Batch [4600] Speed: 1238.75 samples/sec accuracy=0.516406 top_k_accuracy_5=0.748516 | |
| Epoch[59] Batch [4700] Speed: 1243.05 samples/sec accuracy=0.520000 top_k_accuracy_5=0.750000 | |
| Epoch[59] Batch [4800] Speed: 1246.88 samples/sec accuracy=0.513008 top_k_accuracy_5=0.748711 | |
| Epoch[59] Batch [4900] Speed: 1248.47 samples/sec accuracy=0.520430 top_k_accuracy_5=0.754219 | |
| Update[300241]: Change learning rate to 1.00000e-03 | |
| Epoch[59] Batch [5000] Speed: 1242.70 samples/sec accuracy=0.512617 top_k_accuracy_5=0.741992 | |
| Epoch[59] Train-accuracy=0.494141 | |
| Epoch[59] Train-top_k_accuracy_5=0.721680 | |
| Epoch[59] Time cost=1033.777 | |
| Saved checkpoint to "model/resnet18-0060.params" | |
| Epoch[59] Validation-accuracy=0.527404 | |
| Epoch[59] Validation-top_k_accuracy_5=0.760717 | |
| Epoch[60] Batch [100] Speed: 1246.51 samples/sec accuracy=0.522703 top_k_accuracy_5=0.754022 | |
| Epoch[60] Batch [200] Speed: 1248.13 samples/sec accuracy=0.527734 top_k_accuracy_5=0.758633 | |
| Epoch[60] Batch [300] Speed: 1233.83 samples/sec accuracy=0.536250 top_k_accuracy_5=0.760859 | |
| Epoch[60] Batch [400] Speed: 1234.62 samples/sec accuracy=0.536172 top_k_accuracy_5=0.765664 | |
| Epoch[60] Batch [500] Speed: 1247.88 samples/sec accuracy=0.549297 top_k_accuracy_5=0.772734 | |
| Epoch[60] Batch [600] Speed: 1252.49 samples/sec accuracy=0.545352 top_k_accuracy_5=0.767109 | |
| Epoch[60] Batch [700] Speed: 1243.15 samples/sec accuracy=0.539219 top_k_accuracy_5=0.763047 | |
| Epoch[60] Batch [800] Speed: 1241.30 samples/sec accuracy=0.538672 top_k_accuracy_5=0.767227 | |
| Epoch[60] Batch [900] Speed: 1234.50 samples/sec accuracy=0.546133 top_k_accuracy_5=0.767305 | |
| Epoch[60] Batch [1000] Speed: 1244.54 samples/sec accuracy=0.545742 top_k_accuracy_5=0.769102 | |
| Epoch[60] Batch [1100] Speed: 1236.48 samples/sec accuracy=0.550703 top_k_accuracy_5=0.775469 | |
| Epoch[60] Batch [1200] Speed: 1247.20 samples/sec accuracy=0.547578 top_k_accuracy_5=0.773203 | |
| Epoch[60] Batch [1300] Speed: 1235.13 samples/sec accuracy=0.547773 top_k_accuracy_5=0.771094 | |
| Epoch[60] Batch [1400] Speed: 1233.29 samples/sec accuracy=0.551875 top_k_accuracy_5=0.774766 | |
| Epoch[60] Batch [1500] Speed: 1248.14 samples/sec accuracy=0.547813 top_k_accuracy_5=0.770156 | |
| Epoch[60] Batch [1600] Speed: 1239.24 samples/sec accuracy=0.549258 top_k_accuracy_5=0.772773 | |
| Epoch[60] Batch [1700] Speed: 1236.09 samples/sec accuracy=0.551406 top_k_accuracy_5=0.778047 | |
| Epoch[60] Batch [1800] Speed: 1250.82 samples/sec accuracy=0.550625 top_k_accuracy_5=0.775898 | |
| Epoch[60] Batch [1900] Speed: 1242.11 samples/sec accuracy=0.551484 top_k_accuracy_5=0.775156 | |
| Epoch[60] Batch [2000] Speed: 1240.73 samples/sec accuracy=0.555391 top_k_accuracy_5=0.778242 | |
| Epoch[60] Batch [2100] Speed: 1239.97 samples/sec accuracy=0.550000 top_k_accuracy_5=0.773945 | |
| Epoch[60] Batch [2200] Speed: 1238.37 samples/sec accuracy=0.553086 top_k_accuracy_5=0.774766 | |
| Epoch[60] Batch [2300] Speed: 1236.09 samples/sec accuracy=0.553047 top_k_accuracy_5=0.774453 | |
| Epoch[60] Batch [2400] Speed: 1245.50 samples/sec accuracy=0.551250 top_k_accuracy_5=0.776094 | |
| Epoch[60] Batch [2500] Speed: 1224.99 samples/sec accuracy=0.554141 top_k_accuracy_5=0.779297 | |
| Epoch[60] Batch [2600] Speed: 1247.15 samples/sec accuracy=0.559648 top_k_accuracy_5=0.780625 | |
| Epoch[60] Batch [2700] Speed: 1223.05 samples/sec accuracy=0.554844 top_k_accuracy_5=0.779648 | |
| Epoch[60] Batch [2800] Speed: 1235.17 samples/sec accuracy=0.555469 top_k_accuracy_5=0.779609 | |
| Epoch[60] Batch [2900] Speed: 1245.23 samples/sec accuracy=0.560820 top_k_accuracy_5=0.779062 | |
| Epoch[60] Batch [3000] Speed: 1254.63 samples/sec accuracy=0.547461 top_k_accuracy_5=0.775430 | |
| Epoch[60] Batch [3100] Speed: 1242.80 samples/sec accuracy=0.553516 top_k_accuracy_5=0.777695 | |
| Epoch[60] Batch [3200] Speed: 1244.18 samples/sec accuracy=0.561211 top_k_accuracy_5=0.785156 | |
| Epoch[60] Batch [3300] Speed: 1243.83 samples/sec accuracy=0.560586 top_k_accuracy_5=0.781797 | |
| Epoch[60] Batch [3400] Speed: 1260.60 samples/sec accuracy=0.561562 top_k_accuracy_5=0.783320 | |
| Epoch[60] Batch [3500] Speed: 1231.92 samples/sec accuracy=0.563828 top_k_accuracy_5=0.783398 | |
| Epoch[60] Batch [3600] Speed: 1259.38 samples/sec accuracy=0.559961 top_k_accuracy_5=0.782031 | |
| Epoch[60] Batch [3700] Speed: 1242.32 samples/sec accuracy=0.563047 top_k_accuracy_5=0.781758 | |
| Epoch[60] Batch [3800] Speed: 1258.82 samples/sec accuracy=0.565742 top_k_accuracy_5=0.782227 | |
| Epoch[60] Batch [3900] Speed: 1265.32 samples/sec accuracy=0.558203 top_k_accuracy_5=0.779297 | |
| Epoch[60] Batch [4000] Speed: 1257.58 samples/sec accuracy=0.563984 top_k_accuracy_5=0.785781 | |
| Epoch[60] Batch [4100] Speed: 1254.55 samples/sec accuracy=0.558359 top_k_accuracy_5=0.781992 | |
| Epoch[60] Batch [4200] Speed: 1251.68 samples/sec accuracy=0.561484 top_k_accuracy_5=0.785859 | |
| Epoch[60] Batch [4300] Speed: 1247.46 samples/sec accuracy=0.560078 top_k_accuracy_5=0.783828 | |
| Epoch[60] Batch [4400] Speed: 1265.95 samples/sec accuracy=0.567070 top_k_accuracy_5=0.788438 | |
| Epoch[60] Batch [4500] Speed: 1251.80 samples/sec accuracy=0.564766 top_k_accuracy_5=0.786484 | |
| Epoch[60] Batch [4600] Speed: 1259.72 samples/sec accuracy=0.566367 top_k_accuracy_5=0.786367 | |
| Epoch[60] Batch [4700] Speed: 1267.20 samples/sec accuracy=0.562617 top_k_accuracy_5=0.783398 | |
| Epoch[60] Batch [4800] Speed: 1252.70 samples/sec accuracy=0.568242 top_k_accuracy_5=0.786328 | |
| Epoch[60] Batch [4900] Speed: 1241.87 samples/sec accuracy=0.569883 top_k_accuracy_5=0.790586 | |
| Epoch[60] Batch [5000] Speed: 1239.52 samples/sec accuracy=0.565273 top_k_accuracy_5=0.784062 | |
| Epoch[60] Train-accuracy=0.541992 | |
| Epoch[60] Train-top_k_accuracy_5=0.752930 | |
| Epoch[60] Time cost=1029.387 | |
| Saved checkpoint to "model/resnet18-0061.params" | |
| Epoch[60] Validation-accuracy=0.562400 | |
| Epoch[60] Validation-top_k_accuracy_5=0.788385 | |
| Epoch[61] Batch [100] Speed: 1246.28 samples/sec accuracy=0.563699 top_k_accuracy_5=0.783725 | |
| Epoch[61] Batch [200] Speed: 1233.67 samples/sec accuracy=0.557070 top_k_accuracy_5=0.779961 | |
| Epoch[61] Batch [300] Speed: 1217.15 samples/sec accuracy=0.562852 top_k_accuracy_5=0.786367 | |
| Epoch[61] Batch [400] Speed: 1238.15 samples/sec accuracy=0.554375 top_k_accuracy_5=0.779531 | |
| Epoch[61] Batch [500] Speed: 1231.00 samples/sec accuracy=0.562148 top_k_accuracy_5=0.784766 | |
| Epoch[61] Batch [600] Speed: 1234.10 samples/sec accuracy=0.555391 top_k_accuracy_5=0.781367 | |
| Epoch[61] Batch [700] Speed: 1232.15 samples/sec accuracy=0.553086 top_k_accuracy_5=0.777969 | |
| Epoch[61] Batch [800] Speed: 1231.41 samples/sec accuracy=0.555742 top_k_accuracy_5=0.778320 | |
| Epoch[61] Batch [900] Speed: 1236.10 samples/sec accuracy=0.558320 top_k_accuracy_5=0.782930 | |
| Epoch[61] Batch [1000] Speed: 1234.23 samples/sec accuracy=0.561992 top_k_accuracy_5=0.781758 | |
| Epoch[61] Batch [1100] Speed: 1232.36 samples/sec accuracy=0.565117 top_k_accuracy_5=0.782617 | |
| Epoch[61] Batch [1200] Speed: 1231.83 samples/sec accuracy=0.555195 top_k_accuracy_5=0.779102 | |
| Epoch[61] Batch [1300] Speed: 1228.22 samples/sec accuracy=0.556602 top_k_accuracy_5=0.778594 | |
| Epoch[61] Batch [1400] Speed: 1227.37 samples/sec accuracy=0.560039 top_k_accuracy_5=0.785039 | |
| Epoch[61] Batch [1500] Speed: 1238.30 samples/sec accuracy=0.561367 top_k_accuracy_5=0.782969 | |
| Epoch[61] Batch [1600] Speed: 1225.50 samples/sec accuracy=0.558203 top_k_accuracy_5=0.777383 | |
| Epoch[61] Batch [1700] Speed: 1233.21 samples/sec accuracy=0.557109 top_k_accuracy_5=0.779961 | |
| Epoch[61] Batch [1800] Speed: 1238.31 samples/sec accuracy=0.558398 top_k_accuracy_5=0.784023 | |
| Epoch[61] Batch [1900] Speed: 1227.45 samples/sec accuracy=0.561016 top_k_accuracy_5=0.783711 | |
| Epoch[61] Batch [2000] Speed: 1237.11 samples/sec accuracy=0.560547 top_k_accuracy_5=0.781758 | |
| Epoch[61] Batch [2100] Speed: 1237.06 samples/sec accuracy=0.559688 top_k_accuracy_5=0.783203 | |
| Epoch[61] Batch [2200] Speed: 1241.89 samples/sec accuracy=0.566172 top_k_accuracy_5=0.783555 | |
| Epoch[61] Batch [2300] Speed: 1243.75 samples/sec accuracy=0.556758 top_k_accuracy_5=0.782383 | |
| Epoch[61] Batch [2400] Speed: 1229.25 samples/sec accuracy=0.562539 top_k_accuracy_5=0.783359 | |
| Epoch[61] Batch [2500] Speed: 1238.27 samples/sec accuracy=0.558477 top_k_accuracy_5=0.781367 | |
| Epoch[61] Batch [2600] Speed: 1240.32 samples/sec accuracy=0.558906 top_k_accuracy_5=0.787305 | |
| Epoch[61] Batch [2700] Speed: 1232.20 samples/sec accuracy=0.559805 top_k_accuracy_5=0.782656 | |
| Epoch[61] Batch [2800] Speed: 1238.50 samples/sec accuracy=0.561914 top_k_accuracy_5=0.780000 | |
| Epoch[61] Batch [2900] Speed: 1232.19 samples/sec accuracy=0.568125 top_k_accuracy_5=0.784648 | |
| Epoch[61] Batch [3000] Speed: 1241.69 samples/sec accuracy=0.558555 top_k_accuracy_5=0.783164 | |
| Epoch[61] Batch [3100] Speed: 1230.30 samples/sec accuracy=0.562930 top_k_accuracy_5=0.784570 | |
| Epoch[61] Batch [3200] Speed: 1231.53 samples/sec accuracy=0.568320 top_k_accuracy_5=0.787969 | |
| Epoch[61] Batch [3300] Speed: 1243.94 samples/sec accuracy=0.563984 top_k_accuracy_5=0.785898 | |
| Epoch[61] Batch [3400] Speed: 1231.32 samples/sec accuracy=0.567305 top_k_accuracy_5=0.787539 | |
| Epoch[61] Batch [3500] Speed: 1228.71 samples/sec accuracy=0.564297 top_k_accuracy_5=0.784336 | |
| Epoch[61] Batch [3600] Speed: 1232.53 samples/sec accuracy=0.557695 top_k_accuracy_5=0.781992 | |
| Epoch[61] Batch [3700] Speed: 1225.76 samples/sec accuracy=0.564531 top_k_accuracy_5=0.786055 | |
| Epoch[61] Batch [3800] Speed: 1235.75 samples/sec accuracy=0.567305 top_k_accuracy_5=0.789805 | |
| Epoch[61] Batch [3900] Speed: 1245.95 samples/sec accuracy=0.563984 top_k_accuracy_5=0.784844 | |
| Epoch[61] Batch [4000] Speed: 1229.15 samples/sec accuracy=0.568945 top_k_accuracy_5=0.792383 | |
| Epoch[61] Batch [4100] Speed: 1225.31 samples/sec accuracy=0.569141 top_k_accuracy_5=0.788320 | |
| Epoch[61] Batch [4200] Speed: 1223.76 samples/sec accuracy=0.568672 top_k_accuracy_5=0.787266 | |
| Epoch[61] Batch [4300] Speed: 1226.99 samples/sec accuracy=0.564727 top_k_accuracy_5=0.785234 | |
| Epoch[61] Batch [4400] Speed: 1217.85 samples/sec accuracy=0.570000 top_k_accuracy_5=0.791055 | |
| Epoch[61] Batch [4500] Speed: 1231.16 samples/sec accuracy=0.569531 top_k_accuracy_5=0.790977 | |
| Epoch[61] Batch [4600] Speed: 1223.40 samples/sec accuracy=0.567930 top_k_accuracy_5=0.788438 | |
| Epoch[61] Batch [4700] Speed: 1233.93 samples/sec accuracy=0.568984 top_k_accuracy_5=0.787422 | |
| Epoch[61] Batch [4800] Speed: 1232.15 samples/sec accuracy=0.568359 top_k_accuracy_5=0.788477 | |
| Epoch[61] Batch [4900] Speed: 1214.31 samples/sec accuracy=0.574570 top_k_accuracy_5=0.795312 | |
| Epoch[61] Batch [5000] Speed: 1229.31 samples/sec accuracy=0.570312 top_k_accuracy_5=0.787422 | |
| Epoch[61] Train-accuracy=0.554688 | |
| Epoch[61] Train-top_k_accuracy_5=0.789062 | |
| Epoch[61] Time cost=1039.831 | |
| Saved checkpoint to "model/resnet18-0062.params" | |
| Epoch[61] Validation-accuracy=0.565485 | |
| Epoch[61] Validation-top_k_accuracy_5=0.790144 | |
| Epoch[62] Batch [100] Speed: 1223.40 samples/sec accuracy=0.562075 top_k_accuracy_5=0.782642 | |
| Epoch[62] Batch [200] Speed: 1228.91 samples/sec accuracy=0.562969 top_k_accuracy_5=0.784687 | |
| Epoch[62] Batch [300] Speed: 1223.14 samples/sec accuracy=0.561875 top_k_accuracy_5=0.783672 | |
| Epoch[62] Batch [400] Speed: 1227.45 samples/sec accuracy=0.559180 top_k_accuracy_5=0.786211 | |
| Epoch[62] Batch [500] Speed: 1227.18 samples/sec accuracy=0.563711 top_k_accuracy_5=0.785156 | |
| Epoch[62] Batch [600] Speed: 1224.51 samples/sec accuracy=0.568398 top_k_accuracy_5=0.783555 | |
| Epoch[62] Batch [700] Speed: 1227.11 samples/sec accuracy=0.563750 top_k_accuracy_5=0.782227 | |
| Epoch[62] Batch [800] Speed: 1218.17 samples/sec accuracy=0.557305 top_k_accuracy_5=0.782813 | |
| Epoch[62] Batch [900] Speed: 1221.58 samples/sec accuracy=0.567461 top_k_accuracy_5=0.786836 | |
| Epoch[62] Batch [1000] Speed: 1225.85 samples/sec accuracy=0.560508 top_k_accuracy_5=0.782930 | |
| Epoch[62] Batch [1100] Speed: 1222.67 samples/sec accuracy=0.570469 top_k_accuracy_5=0.786797 | |
| Epoch[62] Batch [1200] Speed: 1224.43 samples/sec accuracy=0.567500 top_k_accuracy_5=0.787344 | |
| Epoch[62] Batch [1300] Speed: 1223.68 samples/sec accuracy=0.563242 top_k_accuracy_5=0.784844 | |
| Epoch[62] Batch [1400] Speed: 1227.37 samples/sec accuracy=0.567617 top_k_accuracy_5=0.784805 | |
| Epoch[62] Batch [1500] Speed: 1236.74 samples/sec accuracy=0.564492 top_k_accuracy_5=0.782930 | |
| Epoch[62] Batch [1600] Speed: 1226.50 samples/sec accuracy=0.565391 top_k_accuracy_5=0.783906 | |
| Epoch[62] Batch [1700] Speed: 1221.31 samples/sec accuracy=0.569258 top_k_accuracy_5=0.786641 | |
| Epoch[62] Batch [1800] Speed: 1234.77 samples/sec accuracy=0.568594 top_k_accuracy_5=0.790859 | |
| Epoch[62] Batch [1900] Speed: 1217.27 samples/sec accuracy=0.566523 top_k_accuracy_5=0.785703 | |
| Epoch[62] Batch [2000] Speed: 1224.01 samples/sec accuracy=0.568867 top_k_accuracy_5=0.786484 | |
| Epoch[62] Batch [2100] Speed: 1231.29 samples/sec accuracy=0.556602 top_k_accuracy_5=0.782070 | |
| Epoch[62] Batch [2200] Speed: 1224.24 samples/sec accuracy=0.572734 top_k_accuracy_5=0.788203 | |
| Epoch[62] Batch [2300] Speed: 1229.72 samples/sec accuracy=0.567227 top_k_accuracy_5=0.786953 | |
| Epoch[62] Batch [2400] Speed: 1229.92 samples/sec accuracy=0.564648 top_k_accuracy_5=0.787461 | |
| Epoch[62] Batch [2500] Speed: 1223.59 samples/sec accuracy=0.566914 top_k_accuracy_5=0.787578 | |
| Epoch[62] Batch [2600] Speed: 1229.29 samples/sec accuracy=0.565391 top_k_accuracy_5=0.786602 | |
| Epoch[62] Batch [2700] Speed: 1224.55 samples/sec accuracy=0.561797 top_k_accuracy_5=0.783477 | |
| Epoch[62] Batch [2800] Speed: 1228.33 samples/sec accuracy=0.568711 top_k_accuracy_5=0.786367 | |
| Epoch[62] Batch [2900] Speed: 1223.16 samples/sec accuracy=0.571719 top_k_accuracy_5=0.790859 | |
| Epoch[62] Batch [3000] Speed: 1224.25 samples/sec accuracy=0.562227 top_k_accuracy_5=0.786875 | |
| Epoch[62] Batch [3100] Speed: 1221.14 samples/sec accuracy=0.567578 top_k_accuracy_5=0.784727 | |
| Epoch[62] Batch [3200] Speed: 1232.34 samples/sec accuracy=0.572187 top_k_accuracy_5=0.789922 | |
| Epoch[62] Batch [3300] Speed: 1230.04 samples/sec accuracy=0.566445 top_k_accuracy_5=0.787266 | |
| Epoch[62] Batch [3400] Speed: 1225.29 samples/sec accuracy=0.570156 top_k_accuracy_5=0.790117 | |
| Epoch[62] Batch [3500] Speed: 1225.79 samples/sec accuracy=0.566602 top_k_accuracy_5=0.783242 | |
| Epoch[62] Batch [3600] Speed: 1215.05 samples/sec accuracy=0.565391 top_k_accuracy_5=0.786992 | |
| Epoch[62] Batch [3700] Speed: 1231.99 samples/sec accuracy=0.569609 top_k_accuracy_5=0.789023 | |
| Epoch[62] Batch [3800] Speed: 1218.03 samples/sec accuracy=0.571445 top_k_accuracy_5=0.792266 | |
| Epoch[62] Batch [3900] Speed: 1227.40 samples/sec accuracy=0.573242 top_k_accuracy_5=0.786719 | |
| Epoch[62] Batch [4000] Speed: 1230.55 samples/sec accuracy=0.573359 top_k_accuracy_5=0.792734 | |
| Epoch[62] Batch [4100] Speed: 1233.01 samples/sec accuracy=0.564297 top_k_accuracy_5=0.783398 | |
| Epoch[62] Batch [4200] Speed: 1213.21 samples/sec accuracy=0.567031 top_k_accuracy_5=0.789414 | |
| Epoch[62] Batch [4300] Speed: 1226.97 samples/sec accuracy=0.566914 top_k_accuracy_5=0.786602 | |
| Epoch[62] Batch [4400] Speed: 1227.19 samples/sec accuracy=0.567617 top_k_accuracy_5=0.786680 | |
| Epoch[62] Batch [4500] Speed: 1226.04 samples/sec accuracy=0.569648 top_k_accuracy_5=0.790781 | |
| Epoch[62] Batch [4600] Speed: 1237.39 samples/sec accuracy=0.569336 top_k_accuracy_5=0.791836 | |
| Epoch[62] Batch [4700] Speed: 1213.41 samples/sec accuracy=0.572539 top_k_accuracy_5=0.791250 | |
| Epoch[62] Batch [4800] Speed: 1221.73 samples/sec accuracy=0.572070 top_k_accuracy_5=0.786016 | |
| Epoch[62] Batch [4900] Speed: 1229.96 samples/sec accuracy=0.576172 top_k_accuracy_5=0.796445 | |
| Epoch[62] Batch [5000] Speed: 1221.08 samples/sec accuracy=0.573008 top_k_accuracy_5=0.790352 | |
| Epoch[62] Train-accuracy=0.541016 | |
| Epoch[62] Train-top_k_accuracy_5=0.753906 | |
| Epoch[62] Time cost=1045.834 | |
| Saved checkpoint to "model/resnet18-0063.params" | |
| Epoch[62] Validation-accuracy=0.569311 | |
| Epoch[62] Validation-top_k_accuracy_5=0.792869 | |
| Epoch[63] Batch [100] Speed: 1228.07 samples/sec accuracy=0.566406 top_k_accuracy_5=0.788985 | |
| Epoch[63] Batch [200] Speed: 1231.01 samples/sec accuracy=0.573125 top_k_accuracy_5=0.789375 | |
| Epoch[63] Batch [300] Speed: 1214.97 samples/sec accuracy=0.565977 top_k_accuracy_5=0.786719 | |
| Epoch[63] Batch [400] Speed: 1221.88 samples/sec accuracy=0.565312 top_k_accuracy_5=0.786094 | |
| Epoch[63] Batch [500] Speed: 1228.16 samples/sec accuracy=0.566953 top_k_accuracy_5=0.786641 | |
| Epoch[63] Batch [600] Speed: 1228.22 samples/sec accuracy=0.571328 top_k_accuracy_5=0.790000 | |
| Epoch[63] Batch [700] Speed: 1220.80 samples/sec accuracy=0.561055 top_k_accuracy_5=0.784883 | |
| Epoch[63] Batch [800] Speed: 1228.97 samples/sec accuracy=0.565195 top_k_accuracy_5=0.784531 | |
| Epoch[63] Batch [900] Speed: 1230.09 samples/sec accuracy=0.564063 top_k_accuracy_5=0.783008 | |
| Epoch[63] Batch [1000] Speed: 1231.45 samples/sec accuracy=0.565195 top_k_accuracy_5=0.787852 | |
| Epoch[63] Batch [1100] Speed: 1237.38 samples/sec accuracy=0.577422 top_k_accuracy_5=0.791406 | |
| Epoch[63] Batch [1200] Speed: 1217.00 samples/sec accuracy=0.568906 top_k_accuracy_5=0.789453 | |
| Epoch[63] Batch [1300] Speed: 1217.92 samples/sec accuracy=0.565781 top_k_accuracy_5=0.784766 | |
| Epoch[63] Batch [1400] Speed: 1227.21 samples/sec accuracy=0.569180 top_k_accuracy_5=0.790156 | |
| Epoch[63] Batch [1500] Speed: 1225.42 samples/sec accuracy=0.567734 top_k_accuracy_5=0.787617 | |
| Epoch[63] Batch [1600] Speed: 1224.22 samples/sec accuracy=0.565078 top_k_accuracy_5=0.787773 | |
| Epoch[63] Batch [1700] Speed: 1235.43 samples/sec accuracy=0.566836 top_k_accuracy_5=0.786289 | |
| Epoch[63] Batch [1800] Speed: 1234.80 samples/sec accuracy=0.567969 top_k_accuracy_5=0.789414 | |
| Epoch[63] Batch [1900] Speed: 1225.98 samples/sec accuracy=0.571758 top_k_accuracy_5=0.793008 | |
| Epoch[63] Batch [2000] Speed: 1234.95 samples/sec accuracy=0.570430 top_k_accuracy_5=0.793203 | |
| Epoch[63] Batch [2100] Speed: 1231.56 samples/sec accuracy=0.565859 top_k_accuracy_5=0.790312 | |
| Epoch[63] Batch [2200] Speed: 1214.05 samples/sec accuracy=0.570820 top_k_accuracy_5=0.788359 | |
| Epoch[63] Batch [2300] Speed: 1225.65 samples/sec accuracy=0.565781 top_k_accuracy_5=0.788828 | |
| Epoch[63] Batch [2400] Speed: 1224.76 samples/sec accuracy=0.567969 top_k_accuracy_5=0.788242 | |
| Epoch[63] Batch [2500] Speed: 1227.80 samples/sec accuracy=0.570977 top_k_accuracy_5=0.792266 | |
| Epoch[63] Batch [2600] Speed: 1237.11 samples/sec accuracy=0.566523 top_k_accuracy_5=0.790195 | |
| Epoch[63] Batch [2700] Speed: 1228.10 samples/sec accuracy=0.568594 top_k_accuracy_5=0.785781 | |
| Epoch[63] Batch [2800] Speed: 1228.55 samples/sec accuracy=0.571562 top_k_accuracy_5=0.788203 | |
| Epoch[63] Batch [2900] Speed: 1234.62 samples/sec accuracy=0.571836 top_k_accuracy_5=0.792188 | |
| Epoch[63] Batch [3000] Speed: 1250.16 samples/sec accuracy=0.568398 top_k_accuracy_5=0.788320 | |
| Epoch[63] Batch [3100] Speed: 1237.79 samples/sec accuracy=0.564023 top_k_accuracy_5=0.789297 | |
| Epoch[63] Batch [3200] Speed: 1252.19 samples/sec accuracy=0.574844 top_k_accuracy_5=0.793359 | |
| Epoch[63] Batch [3300] Speed: 1246.62 samples/sec accuracy=0.566953 top_k_accuracy_5=0.789453 | |
| Epoch[63] Batch [3400] Speed: 1250.31 samples/sec accuracy=0.571953 top_k_accuracy_5=0.793203 | |
| Epoch[63] Batch [3500] Speed: 1254.37 samples/sec accuracy=0.571992 top_k_accuracy_5=0.792227 | |
| Epoch[63] Batch [3600] Speed: 1251.23 samples/sec accuracy=0.572812 top_k_accuracy_5=0.794961 | |
| Epoch[63] Batch [3700] Speed: 1241.06 samples/sec accuracy=0.567852 top_k_accuracy_5=0.789727 | |
| Epoch[63] Batch [3800] Speed: 1236.99 samples/sec accuracy=0.570703 top_k_accuracy_5=0.789102 | |
| Epoch[63] Batch [3900] Speed: 1244.41 samples/sec accuracy=0.570859 top_k_accuracy_5=0.787305 | |
| Epoch[63] Batch [4000] Speed: 1240.54 samples/sec accuracy=0.576562 top_k_accuracy_5=0.796016 | |
| Epoch[63] Batch [4100] Speed: 1250.33 samples/sec accuracy=0.570078 top_k_accuracy_5=0.789023 | |
| Epoch[63] Batch [4200] Speed: 1241.17 samples/sec accuracy=0.571758 top_k_accuracy_5=0.791914 | |
| Epoch[63] Batch [4300] Speed: 1238.81 samples/sec accuracy=0.571133 top_k_accuracy_5=0.787500 | |
| Epoch[63] Batch [4400] Speed: 1246.61 samples/sec accuracy=0.574688 top_k_accuracy_5=0.796133 | |
| Epoch[63] Batch [4500] Speed: 1230.26 samples/sec accuracy=0.571875 top_k_accuracy_5=0.793711 | |
| Epoch[63] Batch [4600] Speed: 1255.03 samples/sec accuracy=0.570352 top_k_accuracy_5=0.790820 | |
| Epoch[63] Batch [4700] Speed: 1262.63 samples/sec accuracy=0.578008 top_k_accuracy_5=0.793984 | |
| Epoch[63] Batch [4800] Speed: 1244.44 samples/sec accuracy=0.575039 top_k_accuracy_5=0.793438 | |
| Epoch[63] Batch [4900] Speed: 1268.11 samples/sec accuracy=0.581445 top_k_accuracy_5=0.796953 | |
| Epoch[63] Batch [5000] Speed: 1227.55 samples/sec accuracy=0.569297 top_k_accuracy_5=0.791914 | |
| Epoch[63] Train-accuracy=0.540365 | |
| Epoch[63] Train-top_k_accuracy_5=0.766927 | |
| Epoch[63] Time cost=1037.439 | |
| Saved checkpoint to "model/resnet18-0064.params" | |
| Epoch[63] Validation-accuracy=0.569111 | |
| Epoch[63] Validation-top_k_accuracy_5=0.793149 | |
| Epoch[64] Batch [100] Speed: 1267.11 samples/sec accuracy=0.568533 top_k_accuracy_5=0.793472 | |
| Epoch[64] Batch [200] Speed: 1240.20 samples/sec accuracy=0.569258 top_k_accuracy_5=0.789922 | |
| Epoch[64] Batch [300] Speed: 1239.11 samples/sec accuracy=0.569805 top_k_accuracy_5=0.790703 | |
| Epoch[64] Batch [400] Speed: 1248.02 samples/sec accuracy=0.569375 top_k_accuracy_5=0.790156 | |
| Epoch[64] Batch [500] Speed: 1261.43 samples/sec accuracy=0.572500 top_k_accuracy_5=0.788438 | |
| Epoch[64] Batch [600] Speed: 1255.96 samples/sec accuracy=0.572187 top_k_accuracy_5=0.786602 | |
| Epoch[64] Batch [700] Speed: 1226.02 samples/sec accuracy=0.564609 top_k_accuracy_5=0.787109 | |
| Epoch[64] Batch [800] Speed: 1231.67 samples/sec accuracy=0.567344 top_k_accuracy_5=0.785703 | |
| Epoch[64] Batch [900] Speed: 1231.98 samples/sec accuracy=0.568828 top_k_accuracy_5=0.788789 | |
| Epoch[64] Batch [1000] Speed: 1231.93 samples/sec accuracy=0.572383 top_k_accuracy_5=0.793047 | |
| Epoch[64] Batch [1100] Speed: 1236.47 samples/sec accuracy=0.576016 top_k_accuracy_5=0.794492 | |
| Epoch[64] Batch [1200] Speed: 1233.63 samples/sec accuracy=0.571875 top_k_accuracy_5=0.790000 | |
| Epoch[64] Batch [1300] Speed: 1229.05 samples/sec accuracy=0.569258 top_k_accuracy_5=0.785937 | |
| Epoch[64] Batch [1400] Speed: 1224.47 samples/sec accuracy=0.573672 top_k_accuracy_5=0.795234 | |
| Epoch[64] Batch [1500] Speed: 1230.21 samples/sec accuracy=0.570703 top_k_accuracy_5=0.787383 | |
| Epoch[64] Batch [1600] Speed: 1227.92 samples/sec accuracy=0.567813 top_k_accuracy_5=0.789102 | |
| Epoch[64] Batch [1700] Speed: 1222.66 samples/sec accuracy=0.570703 top_k_accuracy_5=0.792031 | |
| Epoch[64] Batch [1800] Speed: 1223.60 samples/sec accuracy=0.572930 top_k_accuracy_5=0.792539 | |
| Epoch[64] Batch [1900] Speed: 1227.28 samples/sec accuracy=0.564492 top_k_accuracy_5=0.784609 | |
| Epoch[64] Batch [2000] Speed: 1230.61 samples/sec accuracy=0.571016 top_k_accuracy_5=0.789023 | |
| Epoch[64] Batch [2100] Speed: 1224.39 samples/sec accuracy=0.567930 top_k_accuracy_5=0.786758 | |
| Epoch[64] Batch [2200] Speed: 1233.90 samples/sec accuracy=0.571211 top_k_accuracy_5=0.792578 | |
| Epoch[64] Batch [2300] Speed: 1213.17 samples/sec accuracy=0.572422 top_k_accuracy_5=0.788789 | |
| Epoch[64] Batch [2400] Speed: 1239.56 samples/sec accuracy=0.568711 top_k_accuracy_5=0.785977 | |
| Epoch[64] Batch [2500] Speed: 1220.93 samples/sec accuracy=0.573242 top_k_accuracy_5=0.791445 | |
| Epoch[64] Batch [2600] Speed: 1225.26 samples/sec accuracy=0.572266 top_k_accuracy_5=0.793906 | |
| Epoch[64] Batch [2700] Speed: 1221.52 samples/sec accuracy=0.570859 top_k_accuracy_5=0.788008 | |
| Epoch[64] Batch [2800] Speed: 1231.43 samples/sec accuracy=0.573125 top_k_accuracy_5=0.790625 | |
| Epoch[64] Batch [2900] Speed: 1222.81 samples/sec accuracy=0.569922 top_k_accuracy_5=0.791523 | |
| Epoch[64] Batch [3000] Speed: 1222.83 samples/sec accuracy=0.569258 top_k_accuracy_5=0.790586 | |
| Epoch[64] Batch [3100] Speed: 1219.56 samples/sec accuracy=0.570273 top_k_accuracy_5=0.788086 | |
| Epoch[64] Batch [3200] Speed: 1223.64 samples/sec accuracy=0.574727 top_k_accuracy_5=0.792852 | |
| Epoch[64] Batch [3300] Speed: 1246.47 samples/sec accuracy=0.566250 top_k_accuracy_5=0.791055 | |
| Epoch[64] Batch [3400] Speed: 1217.18 samples/sec accuracy=0.572187 top_k_accuracy_5=0.794375 | |
| Epoch[64] Batch [3500] Speed: 1229.82 samples/sec accuracy=0.572695 top_k_accuracy_5=0.791289 | |
| Epoch[64] Batch [3600] Speed: 1222.23 samples/sec accuracy=0.571953 top_k_accuracy_5=0.791914 | |
| Epoch[64] Batch [3700] Speed: 1232.57 samples/sec accuracy=0.571562 top_k_accuracy_5=0.790000 | |
| Epoch[64] Batch [3800] Speed: 1235.23 samples/sec accuracy=0.574727 top_k_accuracy_5=0.791250 | |
| Epoch[64] Batch [3900] Speed: 1233.36 samples/sec accuracy=0.571523 top_k_accuracy_5=0.790547 | |
| Epoch[64] Batch [4000] Speed: 1234.96 samples/sec accuracy=0.580430 top_k_accuracy_5=0.799063 | |
| Epoch[64] Batch [4100] Speed: 1238.13 samples/sec accuracy=0.568945 top_k_accuracy_5=0.792148 | |
| Epoch[64] Batch [4200] Speed: 1242.81 samples/sec accuracy=0.573359 top_k_accuracy_5=0.795703 | |
| Epoch[64] Batch [4300] Speed: 1232.49 samples/sec accuracy=0.569492 top_k_accuracy_5=0.788359 | |
| Epoch[64] Batch [4400] Speed: 1231.19 samples/sec accuracy=0.577031 top_k_accuracy_5=0.794883 | |
| Epoch[64] Batch [4500] Speed: 1230.06 samples/sec accuracy=0.576055 top_k_accuracy_5=0.794805 | |
| Epoch[64] Batch [4600] Speed: 1239.51 samples/sec accuracy=0.574883 top_k_accuracy_5=0.796055 | |
| Epoch[64] Batch [4700] Speed: 1235.18 samples/sec accuracy=0.574922 top_k_accuracy_5=0.793906 | |
| Epoch[64] Batch [4800] Speed: 1243.73 samples/sec accuracy=0.575391 top_k_accuracy_5=0.796523 | |
| Epoch[64] Batch [4900] Speed: 1247.31 samples/sec accuracy=0.579453 top_k_accuracy_5=0.796172 | |
| Epoch[64] Batch [5000] Speed: 1244.83 samples/sec accuracy=0.570781 top_k_accuracy_5=0.793086 | |
| Epoch[64] Train-accuracy=0.565430 | |
| Epoch[64] Train-top_k_accuracy_5=0.778320 | |
| Epoch[64] Time cost=1039.445 | |
| Saved checkpoint to "model/resnet18-0065.params" | |
| Epoch[64] Validation-accuracy=0.573601 | |
| Epoch[64] Validation-top_k_accuracy_5=0.795041 | |
| Epoch[65] Batch [100] Speed: 1252.46 samples/sec accuracy=0.574644 top_k_accuracy_5=0.793278 | |
| Epoch[65] Batch [200] Speed: 1245.04 samples/sec accuracy=0.570859 top_k_accuracy_5=0.792891 | |
| Epoch[65] Batch [300] Speed: 1238.74 samples/sec accuracy=0.571992 top_k_accuracy_5=0.792969 | |
| Epoch[65] Batch [400] Speed: 1257.13 samples/sec accuracy=0.569531 top_k_accuracy_5=0.789414 | |
| Epoch[65] Batch [500] Speed: 1252.76 samples/sec accuracy=0.572344 top_k_accuracy_5=0.793359 | |
| Epoch[65] Batch [600] Speed: 1257.30 samples/sec accuracy=0.571055 top_k_accuracy_5=0.789219 | |
| Epoch[65] Batch [700] Speed: 1235.67 samples/sec accuracy=0.569922 top_k_accuracy_5=0.787383 | |
| Epoch[65] Batch [800] Speed: 1241.08 samples/sec accuracy=0.568008 top_k_accuracy_5=0.788398 | |
| Epoch[65] Batch [900] Speed: 1237.82 samples/sec accuracy=0.570859 top_k_accuracy_5=0.790664 | |
| Epoch[65] Batch [1000] Speed: 1242.40 samples/sec accuracy=0.571602 top_k_accuracy_5=0.790469 | |
| Epoch[65] Batch [1100] Speed: 1253.88 samples/sec accuracy=0.572500 top_k_accuracy_5=0.793008 | |
| Epoch[65] Batch [1200] Speed: 1232.39 samples/sec accuracy=0.571328 top_k_accuracy_5=0.791172 | |
| Epoch[65] Batch [1300] Speed: 1248.65 samples/sec accuracy=0.571328 top_k_accuracy_5=0.788281 | |
| Epoch[65] Batch [1400] Speed: 1247.16 samples/sec accuracy=0.571641 top_k_accuracy_5=0.788984 | |
| Epoch[65] Batch [1500] Speed: 1242.10 samples/sec accuracy=0.570547 top_k_accuracy_5=0.786211 | |
| Epoch[65] Batch [1600] Speed: 1239.70 samples/sec accuracy=0.570469 top_k_accuracy_5=0.793828 | |
| Epoch[65] Batch [1700] Speed: 1244.12 samples/sec accuracy=0.576250 top_k_accuracy_5=0.789219 | |
| Epoch[65] Batch [1800] Speed: 1246.92 samples/sec accuracy=0.568789 top_k_accuracy_5=0.790312 | |
| Epoch[65] Batch [1900] Speed: 1245.50 samples/sec accuracy=0.574141 top_k_accuracy_5=0.791719 | |
| Epoch[65] Batch [2000] Speed: 1232.96 samples/sec accuracy=0.574102 top_k_accuracy_5=0.793008 | |
| Epoch[65] Batch [2100] Speed: 1236.15 samples/sec accuracy=0.570312 top_k_accuracy_5=0.788867 | |
| Epoch[65] Batch [2200] Speed: 1244.59 samples/sec accuracy=0.571797 top_k_accuracy_5=0.789922 | |
| Epoch[65] Batch [2300] Speed: 1242.38 samples/sec accuracy=0.571758 top_k_accuracy_5=0.791680 | |
| Epoch[65] Batch [2400] Speed: 1248.42 samples/sec accuracy=0.570273 top_k_accuracy_5=0.793398 | |
| Epoch[65] Batch [2500] Speed: 1252.63 samples/sec accuracy=0.573633 top_k_accuracy_5=0.793438 | |
| Epoch[65] Batch [2600] Speed: 1241.76 samples/sec accuracy=0.572695 top_k_accuracy_5=0.790703 | |
| Epoch[65] Batch [2700] Speed: 1238.98 samples/sec accuracy=0.571836 top_k_accuracy_5=0.793359 | |
| Epoch[65] Batch [2800] Speed: 1245.61 samples/sec accuracy=0.573438 top_k_accuracy_5=0.788984 | |
| Epoch[65] Batch [2900] Speed: 1236.13 samples/sec accuracy=0.580977 top_k_accuracy_5=0.795469 | |
| Epoch[65] Batch [3000] Speed: 1237.42 samples/sec accuracy=0.568906 top_k_accuracy_5=0.792031 | |
| Epoch[65] Batch [3100] Speed: 1231.66 samples/sec accuracy=0.567852 top_k_accuracy_5=0.786680 | |
| Epoch[65] Batch [3200] Speed: 1243.99 samples/sec accuracy=0.577187 top_k_accuracy_5=0.798867 | |
| Epoch[65] Batch [3300] Speed: 1241.14 samples/sec accuracy=0.568750 top_k_accuracy_5=0.791289 | |
| Epoch[65] Batch [3400] Speed: 1228.68 samples/sec accuracy=0.575937 top_k_accuracy_5=0.795547 | |
| Epoch[65] Batch [3500] Speed: 1238.93 samples/sec accuracy=0.578398 top_k_accuracy_5=0.790469 | |
| Epoch[65] Batch [3600] Speed: 1232.98 samples/sec accuracy=0.572383 top_k_accuracy_5=0.791562 | |
| Epoch[65] Batch [3700] Speed: 1254.87 samples/sec accuracy=0.574805 top_k_accuracy_5=0.792773 | |
| Epoch[65] Batch [3800] Speed: 1224.44 samples/sec accuracy=0.574492 top_k_accuracy_5=0.793281 | |
| Epoch[65] Batch [3900] Speed: 1233.73 samples/sec accuracy=0.573633 top_k_accuracy_5=0.790820 | |
| Epoch[65] Batch [4000] Speed: 1244.43 samples/sec accuracy=0.579219 top_k_accuracy_5=0.794063 | |
| Epoch[65] Batch [4100] Speed: 1235.33 samples/sec accuracy=0.570859 top_k_accuracy_5=0.791953 | |
| Epoch[65] Batch [4200] Speed: 1231.96 samples/sec accuracy=0.571250 top_k_accuracy_5=0.792695 | |
| Epoch[65] Batch [4300] Speed: 1234.97 samples/sec accuracy=0.569492 top_k_accuracy_5=0.790898 | |
| Epoch[65] Batch [4400] Speed: 1243.66 samples/sec accuracy=0.577227 top_k_accuracy_5=0.794531 | |
| Epoch[65] Batch [4500] Speed: 1245.43 samples/sec accuracy=0.578594 top_k_accuracy_5=0.796016 | |
| Epoch[65] Batch [4600] Speed: 1236.48 samples/sec accuracy=0.576992 top_k_accuracy_5=0.793672 | |
| Epoch[65] Batch [4700] Speed: 1239.47 samples/sec accuracy=0.577812 top_k_accuracy_5=0.794961 | |
| Epoch[65] Batch [4800] Speed: 1230.27 samples/sec accuracy=0.576016 top_k_accuracy_5=0.797656 | |
| Epoch[65] Batch [4900] Speed: 1232.44 samples/sec accuracy=0.582773 top_k_accuracy_5=0.796680 | |
| Epoch[65] Batch [5000] Speed: 1242.32 samples/sec accuracy=0.576523 top_k_accuracy_5=0.794492 | |
| Epoch[65] Train-accuracy=0.555990 | |
| Epoch[65] Train-top_k_accuracy_5=0.777344 | |
| Epoch[65] Time cost=1032.275 | |
| Saved checkpoint to "model/resnet18-0066.params" | |
| Epoch[65] Validation-accuracy=0.574219 | |
| Epoch[65] Validation-top_k_accuracy_5=0.796314 | |
| Epoch[66] Batch [100] Speed: 1238.60 samples/sec accuracy=0.575611 top_k_accuracy_5=0.793626 | |
| Epoch[66] Batch [200] Speed: 1240.52 samples/sec accuracy=0.572656 top_k_accuracy_5=0.790352 | |
| Epoch[66] Batch [300] Speed: 1225.32 samples/sec accuracy=0.571250 top_k_accuracy_5=0.791562 | |
| Epoch[66] Batch [400] Speed: 1229.58 samples/sec accuracy=0.571211 top_k_accuracy_5=0.788828 | |
| Epoch[66] Batch [500] Speed: 1231.95 samples/sec accuracy=0.576328 top_k_accuracy_5=0.793281 | |
| Epoch[66] Batch [600] Speed: 1231.19 samples/sec accuracy=0.575742 top_k_accuracy_5=0.794648 | |
| Epoch[66] Batch [700] Speed: 1241.53 samples/sec accuracy=0.569609 top_k_accuracy_5=0.790352 | |
| Epoch[66] Batch [800] Speed: 1235.32 samples/sec accuracy=0.567813 top_k_accuracy_5=0.788906 | |
| Epoch[66] Batch [900] Speed: 1227.43 samples/sec accuracy=0.572656 top_k_accuracy_5=0.790664 | |
| Epoch[66] Batch [1000] Speed: 1233.30 samples/sec accuracy=0.576367 top_k_accuracy_5=0.793125 | |
| Epoch[66] Batch [1100] Speed: 1236.00 samples/sec accuracy=0.575313 top_k_accuracy_5=0.795391 | |
| Epoch[66] Batch [1200] Speed: 1229.91 samples/sec accuracy=0.575742 top_k_accuracy_5=0.792500 | |
| Epoch[66] Batch [1300] Speed: 1226.75 samples/sec accuracy=0.576133 top_k_accuracy_5=0.792266 | |
| Epoch[66] Batch [1400] Speed: 1234.79 samples/sec accuracy=0.577305 top_k_accuracy_5=0.794570 | |
| Epoch[66] Batch [1500] Speed: 1241.30 samples/sec accuracy=0.567852 top_k_accuracy_5=0.788516 | |
| Epoch[66] Batch [1600] Speed: 1236.59 samples/sec accuracy=0.567070 top_k_accuracy_5=0.789766 | |
| Epoch[66] Batch [1700] Speed: 1227.31 samples/sec accuracy=0.569258 top_k_accuracy_5=0.791016 | |
| Epoch[66] Batch [1800] Speed: 1225.06 samples/sec accuracy=0.573945 top_k_accuracy_5=0.796914 | |
| Epoch[66] Batch [1900] Speed: 1235.62 samples/sec accuracy=0.574180 top_k_accuracy_5=0.791367 | |
| Epoch[66] Batch [2000] Speed: 1237.16 samples/sec accuracy=0.576680 top_k_accuracy_5=0.792734 | |
| Epoch[66] Batch [2100] Speed: 1239.83 samples/sec accuracy=0.573242 top_k_accuracy_5=0.788633 | |
| Epoch[66] Batch [2200] Speed: 1233.66 samples/sec accuracy=0.572773 top_k_accuracy_5=0.791836 | |
| Epoch[66] Batch [2300] Speed: 1232.68 samples/sec accuracy=0.572617 top_k_accuracy_5=0.794375 | |
| Epoch[66] Batch [2400] Speed: 1233.37 samples/sec accuracy=0.574570 top_k_accuracy_5=0.795234 | |
| Epoch[66] Batch [2500] Speed: 1231.08 samples/sec accuracy=0.573750 top_k_accuracy_5=0.791055 | |
| Epoch[66] Batch [2600] Speed: 1229.10 samples/sec accuracy=0.574219 top_k_accuracy_5=0.797148 | |
| Epoch[66] Batch [2700] Speed: 1227.99 samples/sec accuracy=0.573125 top_k_accuracy_5=0.790039 | |
| Epoch[66] Batch [2800] Speed: 1238.65 samples/sec accuracy=0.577656 top_k_accuracy_5=0.793086 | |
| Epoch[66] Batch [2900] Speed: 1231.32 samples/sec accuracy=0.579102 top_k_accuracy_5=0.798164 | |
| Epoch[66] Batch [3000] Speed: 1236.76 samples/sec accuracy=0.574180 top_k_accuracy_5=0.791875 | |
| Epoch[66] Batch [3100] Speed: 1234.43 samples/sec accuracy=0.573281 top_k_accuracy_5=0.794297 | |
| Epoch[66] Batch [3200] Speed: 1232.39 samples/sec accuracy=0.582148 top_k_accuracy_5=0.799453 | |
| Epoch[66] Batch [3300] Speed: 1228.37 samples/sec accuracy=0.572422 top_k_accuracy_5=0.789883 | |
| Epoch[66] Batch [3400] Speed: 1229.13 samples/sec accuracy=0.575000 top_k_accuracy_5=0.794219 | |
| Epoch[66] Batch [3500] Speed: 1230.92 samples/sec accuracy=0.580586 top_k_accuracy_5=0.797539 | |
| Epoch[66] Batch [3600] Speed: 1235.90 samples/sec accuracy=0.578125 top_k_accuracy_5=0.796719 | |
| Epoch[66] Batch [3700] Speed: 1248.32 samples/sec accuracy=0.577461 top_k_accuracy_5=0.794805 | |
| Epoch[66] Batch [3800] Speed: 1220.60 samples/sec accuracy=0.572969 top_k_accuracy_5=0.793125 | |
| Epoch[66] Batch [3900] Speed: 1227.44 samples/sec accuracy=0.577070 top_k_accuracy_5=0.794922 | |
| Epoch[66] Batch [4000] Speed: 1241.58 samples/sec accuracy=0.583516 top_k_accuracy_5=0.798789 | |
| Epoch[66] Batch [4100] Speed: 1232.61 samples/sec accuracy=0.578008 top_k_accuracy_5=0.799961 | |
| Epoch[66] Batch [4200] Speed: 1232.23 samples/sec accuracy=0.581641 top_k_accuracy_5=0.799766 | |
| Epoch[66] Batch [4300] Speed: 1246.07 samples/sec accuracy=0.576523 top_k_accuracy_5=0.793359 | |
| Epoch[66] Batch [4400] Speed: 1240.71 samples/sec accuracy=0.580664 top_k_accuracy_5=0.798281 | |
| Epoch[66] Batch [4500] Speed: 1235.18 samples/sec accuracy=0.580391 top_k_accuracy_5=0.797734 | |
| Epoch[66] Batch [4600] Speed: 1225.68 samples/sec accuracy=0.577695 top_k_accuracy_5=0.793711 | |
| Epoch[66] Batch [4700] Speed: 1231.88 samples/sec accuracy=0.576953 top_k_accuracy_5=0.794336 | |
| Epoch[66] Batch [4800] Speed: 1230.39 samples/sec accuracy=0.572344 top_k_accuracy_5=0.795117 | |
| Epoch[66] Batch [4900] Speed: 1230.36 samples/sec accuracy=0.588203 top_k_accuracy_5=0.799883 | |
| Epoch[66] Batch [5000] Speed: 1238.26 samples/sec accuracy=0.576367 top_k_accuracy_5=0.794883 | |
| Epoch[66] Train-accuracy=0.568359 | |
| Epoch[66] Train-top_k_accuracy_5=0.791016 | |
| Epoch[66] Time cost=1039.053 | |
| Saved checkpoint to "model/resnet18-0067.params" | |
| Epoch[66] Validation-accuracy=0.574099 | |
| Epoch[66] Validation-top_k_accuracy_5=0.797636 | |
| Epoch[67] Batch [100] Speed: 1234.88 samples/sec accuracy=0.575108 top_k_accuracy_5=0.796140 | |
| Epoch[67] Batch [200] Speed: 1237.27 samples/sec accuracy=0.574727 top_k_accuracy_5=0.794297 | |
| Epoch[67] Batch [300] Speed: 1228.08 samples/sec accuracy=0.577109 top_k_accuracy_5=0.791797 | |
| Epoch[67] Batch [400] Speed: 1235.92 samples/sec accuracy=0.571289 top_k_accuracy_5=0.791328 | |
| Epoch[67] Batch [500] Speed: 1221.32 samples/sec accuracy=0.574883 top_k_accuracy_5=0.794453 | |
| Epoch[67] Batch [600] Speed: 1225.75 samples/sec accuracy=0.579805 top_k_accuracy_5=0.795117 | |
| Epoch[67] Batch [700] Speed: 1237.74 samples/sec accuracy=0.568516 top_k_accuracy_5=0.789648 | |
| Epoch[67] Batch [800] Speed: 1239.03 samples/sec accuracy=0.570195 top_k_accuracy_5=0.789453 | |
| Epoch[67] Batch [900] Speed: 1233.46 samples/sec accuracy=0.574766 top_k_accuracy_5=0.794297 | |
| Epoch[67] Batch [1000] Speed: 1220.69 samples/sec accuracy=0.575664 top_k_accuracy_5=0.791914 | |
| Epoch[67] Batch [1100] Speed: 1229.32 samples/sec accuracy=0.583047 top_k_accuracy_5=0.797852 | |
| Epoch[67] Batch [1200] Speed: 1227.02 samples/sec accuracy=0.577344 top_k_accuracy_5=0.794609 | |
| Epoch[67] Batch [1300] Speed: 1232.60 samples/sec accuracy=0.578438 top_k_accuracy_5=0.793359 | |
| Epoch[67] Batch [1400] Speed: 1234.78 samples/sec accuracy=0.574727 top_k_accuracy_5=0.793906 | |
| Epoch[67] Batch [1500] Speed: 1232.38 samples/sec accuracy=0.575156 top_k_accuracy_5=0.790977 | |
| Epoch[67] Batch [1600] Speed: 1230.07 samples/sec accuracy=0.576758 top_k_accuracy_5=0.790352 | |
| Epoch[67] Batch [1700] Speed: 1223.83 samples/sec accuracy=0.579297 top_k_accuracy_5=0.795547 | |
| Epoch[67] Batch [1800] Speed: 1231.13 samples/sec accuracy=0.572852 top_k_accuracy_5=0.796211 | |
| Epoch[67] Batch [1900] Speed: 1227.13 samples/sec accuracy=0.578359 top_k_accuracy_5=0.795703 | |
| Epoch[67] Batch [2000] Speed: 1236.10 samples/sec accuracy=0.575391 top_k_accuracy_5=0.796133 | |
| Epoch[67] Batch [2100] Speed: 1225.19 samples/sec accuracy=0.571406 top_k_accuracy_5=0.792539 | |
| Epoch[67] Batch [2200] Speed: 1239.59 samples/sec accuracy=0.580859 top_k_accuracy_5=0.797383 | |
| Epoch[67] Batch [2300] Speed: 1217.00 samples/sec accuracy=0.568555 top_k_accuracy_5=0.794375 | |
| Epoch[67] Batch [2400] Speed: 1226.75 samples/sec accuracy=0.575703 top_k_accuracy_5=0.794141 | |
| Epoch[67] Batch [2500] Speed: 1224.68 samples/sec accuracy=0.573008 top_k_accuracy_5=0.793750 | |
| Epoch[67] Batch [2600] Speed: 1237.53 samples/sec accuracy=0.574570 top_k_accuracy_5=0.794453 | |
| Epoch[67] Batch [2700] Speed: 1229.02 samples/sec accuracy=0.582031 top_k_accuracy_5=0.795039 | |
| Epoch[67] Batch [2800] Speed: 1235.53 samples/sec accuracy=0.574336 top_k_accuracy_5=0.794961 | |
| Epoch[67] Batch [2900] Speed: 1225.50 samples/sec accuracy=0.579570 top_k_accuracy_5=0.796719 | |
| Epoch[67] Batch [3000] Speed: 1231.24 samples/sec accuracy=0.574375 top_k_accuracy_5=0.794609 | |
| Epoch[67] Batch [3100] Speed: 1229.59 samples/sec accuracy=0.574648 top_k_accuracy_5=0.790273 | |
| Epoch[67] Batch [3200] Speed: 1234.05 samples/sec accuracy=0.576406 top_k_accuracy_5=0.798945 | |
| Epoch[67] Batch [3300] Speed: 1221.84 samples/sec accuracy=0.576992 top_k_accuracy_5=0.792539 | |
| Epoch[67] Batch [3400] Speed: 1215.43 samples/sec accuracy=0.577578 top_k_accuracy_5=0.798164 | |
| Epoch[67] Batch [3500] Speed: 1236.50 samples/sec accuracy=0.578477 top_k_accuracy_5=0.794531 | |
| Epoch[67] Batch [3600] Speed: 1226.38 samples/sec accuracy=0.576133 top_k_accuracy_5=0.794609 | |
| Epoch[67] Batch [3700] Speed: 1216.02 samples/sec accuracy=0.574648 top_k_accuracy_5=0.790703 | |
| Epoch[67] Batch [3800] Speed: 1231.75 samples/sec accuracy=0.579883 top_k_accuracy_5=0.797305 | |
| Epoch[67] Batch [3900] Speed: 1235.59 samples/sec accuracy=0.573594 top_k_accuracy_5=0.794531 | |
| Epoch[67] Batch [4000] Speed: 1224.71 samples/sec accuracy=0.585195 top_k_accuracy_5=0.800430 | |
| Epoch[67] Batch [4100] Speed: 1231.80 samples/sec accuracy=0.575742 top_k_accuracy_5=0.798438 | |
| Epoch[67] Batch [4200] Speed: 1235.03 samples/sec accuracy=0.578750 top_k_accuracy_5=0.795508 | |
| Epoch[67] Batch [4300] Speed: 1228.39 samples/sec accuracy=0.575234 top_k_accuracy_5=0.796172 | |
| Epoch[67] Batch [4400] Speed: 1235.35 samples/sec accuracy=0.581445 top_k_accuracy_5=0.795547 | |
| Epoch[67] Batch [4500] Speed: 1227.25 samples/sec accuracy=0.581602 top_k_accuracy_5=0.798438 | |
| Epoch[67] Batch [4600] Speed: 1237.93 samples/sec accuracy=0.579180 top_k_accuracy_5=0.797734 | |
| Epoch[67] Batch [4700] Speed: 1236.37 samples/sec accuracy=0.575234 top_k_accuracy_5=0.798164 | |
| Epoch[67] Batch [4800] Speed: 1235.03 samples/sec accuracy=0.577578 top_k_accuracy_5=0.793203 | |
| Epoch[67] Batch [4900] Speed: 1226.51 samples/sec accuracy=0.585703 top_k_accuracy_5=0.799531 | |
| Epoch[67] Batch [5000] Speed: 1239.02 samples/sec accuracy=0.578438 top_k_accuracy_5=0.796758 | |
| Epoch[67] Train-accuracy=0.548177 | |
| Epoch[67] Train-top_k_accuracy_5=0.766927 | |
| Epoch[67] Time cost=1041.725 | |
| Saved checkpoint to "model/resnet18-0068.params" | |
| Epoch[67] Validation-accuracy=0.576371 | |
| Epoch[67] Validation-top_k_accuracy_5=0.797752 | |
| Epoch[68] Batch [100] Speed: 1230.55 samples/sec accuracy=0.578009 top_k_accuracy_5=0.796643 | |
| Epoch[68] Batch [200] Speed: 1228.44 samples/sec accuracy=0.573828 top_k_accuracy_5=0.794727 | |
| Epoch[68] Batch [300] Speed: 1210.87 samples/sec accuracy=0.580117 top_k_accuracy_5=0.799258 | |
| Epoch[68] Batch [400] Speed: 1224.77 samples/sec accuracy=0.572461 top_k_accuracy_5=0.791875 | |
| Epoch[68] Batch [500] Speed: 1232.20 samples/sec accuracy=0.582578 top_k_accuracy_5=0.798086 | |
| Epoch[68] Batch [600] Speed: 1242.72 samples/sec accuracy=0.576797 top_k_accuracy_5=0.793047 | |
| Epoch[68] Batch [700] Speed: 1212.10 samples/sec accuracy=0.570469 top_k_accuracy_5=0.789414 | |
| Epoch[68] Batch [800] Speed: 1238.08 samples/sec accuracy=0.574102 top_k_accuracy_5=0.794102 | |
| Epoch[68] Batch [900] Speed: 1233.39 samples/sec accuracy=0.575586 top_k_accuracy_5=0.793164 | |
| Epoch[68] Batch [1000] Speed: 1229.20 samples/sec accuracy=0.581172 top_k_accuracy_5=0.796602 | |
| Epoch[68] Batch [1100] Speed: 1226.47 samples/sec accuracy=0.576133 top_k_accuracy_5=0.792383 | |
| Epoch[68] Batch [1200] Speed: 1230.07 samples/sec accuracy=0.579727 top_k_accuracy_5=0.794453 | |
| Epoch[68] Batch [1300] Speed: 1230.59 samples/sec accuracy=0.572070 top_k_accuracy_5=0.790508 | |
| Epoch[68] Batch [1400] Speed: 1230.78 samples/sec accuracy=0.580781 top_k_accuracy_5=0.798125 | |
| Epoch[68] Batch [1500] Speed: 1230.43 samples/sec accuracy=0.573711 top_k_accuracy_5=0.796172 | |
| Epoch[68] Batch [1600] Speed: 1231.57 samples/sec accuracy=0.575234 top_k_accuracy_5=0.794648 | |
| Epoch[68] Batch [1700] Speed: 1219.95 samples/sec accuracy=0.575625 top_k_accuracy_5=0.793750 | |
| Epoch[68] Batch [1800] Speed: 1224.06 samples/sec accuracy=0.576797 top_k_accuracy_5=0.793125 | |
| Epoch[68] Batch [1900] Speed: 1236.66 samples/sec accuracy=0.576875 top_k_accuracy_5=0.800508 | |
| Epoch[68] Batch [2000] Speed: 1232.35 samples/sec accuracy=0.575078 top_k_accuracy_5=0.796641 | |
| Epoch[68] Batch [2100] Speed: 1216.11 samples/sec accuracy=0.572695 top_k_accuracy_5=0.794375 | |
| Epoch[68] Batch [2200] Speed: 1226.90 samples/sec accuracy=0.579258 top_k_accuracy_5=0.794531 | |
| Epoch[68] Batch [2300] Speed: 1240.76 samples/sec accuracy=0.572070 top_k_accuracy_5=0.796680 | |
| Epoch[68] Batch [2400] Speed: 1229.01 samples/sec accuracy=0.577187 top_k_accuracy_5=0.795742 | |
| Epoch[68] Batch [2500] Speed: 1228.33 samples/sec accuracy=0.572812 top_k_accuracy_5=0.791914 | |
| Epoch[68] Batch [2600] Speed: 1233.41 samples/sec accuracy=0.581016 top_k_accuracy_5=0.797813 | |
| Epoch[68] Batch [2700] Speed: 1215.05 samples/sec accuracy=0.577109 top_k_accuracy_5=0.791406 | |
| Epoch[68] Batch [2800] Speed: 1227.93 samples/sec accuracy=0.576602 top_k_accuracy_5=0.795273 | |
| Epoch[68] Batch [2900] Speed: 1228.76 samples/sec accuracy=0.582031 top_k_accuracy_5=0.796445 | |
| Epoch[68] Batch [3000] Speed: 1224.14 samples/sec accuracy=0.574531 top_k_accuracy_5=0.792734 | |
| Epoch[68] Batch [3100] Speed: 1228.54 samples/sec accuracy=0.577305 top_k_accuracy_5=0.793164 | |
| Epoch[68] Batch [3200] Speed: 1232.23 samples/sec accuracy=0.584531 top_k_accuracy_5=0.799102 | |
| Epoch[68] Batch [3300] Speed: 1238.04 samples/sec accuracy=0.580430 top_k_accuracy_5=0.797578 | |
| Epoch[68] Batch [3400] Speed: 1245.73 samples/sec accuracy=0.577812 top_k_accuracy_5=0.796953 | |
| Epoch[68] Batch [3500] Speed: 1230.14 samples/sec accuracy=0.578594 top_k_accuracy_5=0.797813 | |
| Epoch[68] Batch [3600] Speed: 1230.26 samples/sec accuracy=0.579492 top_k_accuracy_5=0.798555 | |
| Epoch[68] Batch [3700] Speed: 1233.91 samples/sec accuracy=0.579492 top_k_accuracy_5=0.795977 | |
| Epoch[68] Batch [3800] Speed: 1238.53 samples/sec accuracy=0.577695 top_k_accuracy_5=0.796250 | |
| Epoch[68] Batch [3900] Speed: 1242.42 samples/sec accuracy=0.575313 top_k_accuracy_5=0.790352 | |
| Epoch[68] Batch [4000] Speed: 1237.74 samples/sec accuracy=0.585352 top_k_accuracy_5=0.801250 | |
| Epoch[68] Batch [4100] Speed: 1231.37 samples/sec accuracy=0.572187 top_k_accuracy_5=0.793984 | |
| Epoch[68] Batch [4200] Speed: 1234.82 samples/sec accuracy=0.581016 top_k_accuracy_5=0.796406 | |
| Epoch[68] Batch [4300] Speed: 1237.77 samples/sec accuracy=0.577344 top_k_accuracy_5=0.791680 | |
| Epoch[68] Batch [4400] Speed: 1231.98 samples/sec accuracy=0.577539 top_k_accuracy_5=0.796875 | |
| Epoch[68] Batch [4500] Speed: 1233.45 samples/sec accuracy=0.578516 top_k_accuracy_5=0.797695 | |
| Epoch[68] Batch [4600] Speed: 1235.74 samples/sec accuracy=0.579766 top_k_accuracy_5=0.793594 | |
| Epoch[68] Batch [4700] Speed: 1223.18 samples/sec accuracy=0.582148 top_k_accuracy_5=0.800195 | |
| Epoch[68] Batch [4800] Speed: 1214.96 samples/sec accuracy=0.579258 top_k_accuracy_5=0.799336 | |
| Epoch[68] Batch [4900] Speed: 1233.57 samples/sec accuracy=0.581797 top_k_accuracy_5=0.799883 | |
| Epoch[68] Batch [5000] Speed: 1220.96 samples/sec accuracy=0.582383 top_k_accuracy_5=0.797344 | |
| Epoch[68] Train-accuracy=0.559570 | |
| Epoch[68] Train-top_k_accuracy_5=0.779297 | |
| Epoch[68] Time cost=1041.993 | |
| Saved checkpoint to "model/resnet18-0069.params" | |
| Epoch[68] Validation-accuracy=0.576783 | |
| Epoch[68] Validation-top_k_accuracy_5=0.798578 | |
| Epoch[69] Batch [100] Speed: 1223.82 samples/sec accuracy=0.579208 top_k_accuracy_5=0.796720 | |
| Epoch[69] Batch [200] Speed: 1225.11 samples/sec accuracy=0.577344 top_k_accuracy_5=0.793438 | |
| Epoch[69] Batch [300] Speed: 1225.41 samples/sec accuracy=0.579023 top_k_accuracy_5=0.798984 | |
| Epoch[69] Batch [400] Speed: 1233.46 samples/sec accuracy=0.576641 top_k_accuracy_5=0.795234 | |
| Epoch[69] Batch [500] Speed: 1255.63 samples/sec accuracy=0.575117 top_k_accuracy_5=0.793984 | |
| Epoch[69] Batch [600] Speed: 1240.14 samples/sec accuracy=0.576719 top_k_accuracy_5=0.792344 | |
| Epoch[69] Batch [700] Speed: 1237.09 samples/sec accuracy=0.576367 top_k_accuracy_5=0.792109 | |
| Epoch[69] Batch [800] Speed: 1219.49 samples/sec accuracy=0.572227 top_k_accuracy_5=0.790742 | |
| Epoch[69] Batch [900] Speed: 1217.14 samples/sec accuracy=0.575781 top_k_accuracy_5=0.795312 | |
| Epoch[69] Batch [1000] Speed: 1218.27 samples/sec accuracy=0.577891 top_k_accuracy_5=0.797188 | |
| Epoch[69] Batch [1100] Speed: 1220.80 samples/sec accuracy=0.584570 top_k_accuracy_5=0.795508 | |
| Epoch[69] Batch [1200] Speed: 1201.76 samples/sec accuracy=0.578477 top_k_accuracy_5=0.792461 | |
| Epoch[69] Batch [1300] Speed: 1223.25 samples/sec accuracy=0.577500 top_k_accuracy_5=0.796445 | |
| Epoch[69] Batch [1400] Speed: 1232.52 samples/sec accuracy=0.573633 top_k_accuracy_5=0.794102 | |
| Epoch[69] Batch [1500] Speed: 1204.19 samples/sec accuracy=0.577187 top_k_accuracy_5=0.796406 | |
| Epoch[69] Batch [1600] Speed: 1229.96 samples/sec accuracy=0.576797 top_k_accuracy_5=0.794648 | |
| Epoch[69] Batch [1700] Speed: 1219.34 samples/sec accuracy=0.575547 top_k_accuracy_5=0.795664 | |
| Epoch[69] Batch [1800] Speed: 1211.20 samples/sec accuracy=0.578633 top_k_accuracy_5=0.795820 | |
| Epoch[69] Batch [1900] Speed: 1216.47 samples/sec accuracy=0.580156 top_k_accuracy_5=0.794375 | |
| Epoch[69] Batch [2000] Speed: 1231.64 samples/sec accuracy=0.582852 top_k_accuracy_5=0.797070 | |
| Epoch[69] Batch [2100] Speed: 1231.78 samples/sec accuracy=0.573672 top_k_accuracy_5=0.793984 | |
| Epoch[69] Batch [2200] Speed: 1219.39 samples/sec accuracy=0.582734 top_k_accuracy_5=0.801016 | |
| Epoch[69] Batch [2300] Speed: 1230.72 samples/sec accuracy=0.577305 top_k_accuracy_5=0.793867 | |
| Epoch[69] Batch [2400] Speed: 1220.87 samples/sec accuracy=0.577187 top_k_accuracy_5=0.796641 | |
| Epoch[69] Batch [2500] Speed: 1244.96 samples/sec accuracy=0.575039 top_k_accuracy_5=0.795430 | |
| Epoch[69] Batch [2600] Speed: 1220.88 samples/sec accuracy=0.580898 top_k_accuracy_5=0.797070 | |
| Epoch[69] Batch [2700] Speed: 1224.89 samples/sec accuracy=0.570391 top_k_accuracy_5=0.791875 | |
| Epoch[69] Batch [2800] Speed: 1220.82 samples/sec accuracy=0.578789 top_k_accuracy_5=0.793242 | |
| Epoch[69] Batch [2900] Speed: 1234.65 samples/sec accuracy=0.585313 top_k_accuracy_5=0.798359 | |
| Epoch[69] Batch [3000] Speed: 1226.60 samples/sec accuracy=0.572305 top_k_accuracy_5=0.792266 | |
| Epoch[69] Batch [3100] Speed: 1245.44 samples/sec accuracy=0.577734 top_k_accuracy_5=0.795781 | |
| Epoch[69] Batch [3200] Speed: 1242.68 samples/sec accuracy=0.583984 top_k_accuracy_5=0.802656 | |
| Epoch[69] Batch [3300] Speed: 1256.99 samples/sec accuracy=0.576016 top_k_accuracy_5=0.792891 | |
| Epoch[69] Batch [3400] Speed: 1256.40 samples/sec accuracy=0.581562 top_k_accuracy_5=0.799180 | |
| Epoch[69] Batch [3500] Speed: 1252.09 samples/sec accuracy=0.581523 top_k_accuracy_5=0.799687 | |
| Epoch[69] Batch [3600] Speed: 1249.70 samples/sec accuracy=0.577500 top_k_accuracy_5=0.799609 | |
| Epoch[69] Batch [3700] Speed: 1243.38 samples/sec accuracy=0.585664 top_k_accuracy_5=0.797422 | |
| Epoch[69] Batch [3800] Speed: 1254.86 samples/sec accuracy=0.583242 top_k_accuracy_5=0.798008 | |
| Epoch[69] Batch [3900] Speed: 1249.96 samples/sec accuracy=0.576211 top_k_accuracy_5=0.795820 | |
| Epoch[69] Batch [4000] Speed: 1249.15 samples/sec accuracy=0.582031 top_k_accuracy_5=0.800977 | |
| Epoch[69] Batch [4100] Speed: 1244.02 samples/sec accuracy=0.576016 top_k_accuracy_5=0.792539 | |
| Epoch[69] Batch [4200] Speed: 1248.09 samples/sec accuracy=0.581289 top_k_accuracy_5=0.797227 | |
| Epoch[69] Batch [4300] Speed: 1245.80 samples/sec accuracy=0.574180 top_k_accuracy_5=0.795156 | |
| Epoch[69] Batch [4400] Speed: 1251.28 samples/sec accuracy=0.584414 top_k_accuracy_5=0.802813 | |
| Epoch[69] Batch [4500] Speed: 1239.95 samples/sec accuracy=0.584570 top_k_accuracy_5=0.800742 | |
| Epoch[69] Batch [4600] Speed: 1239.92 samples/sec accuracy=0.578516 top_k_accuracy_5=0.796641 | |
| Epoch[69] Batch [4700] Speed: 1248.19 samples/sec accuracy=0.582070 top_k_accuracy_5=0.796523 | |
| Epoch[69] Batch [4800] Speed: 1242.40 samples/sec accuracy=0.580195 top_k_accuracy_5=0.796094 | |
| Epoch[69] Batch [4900] Speed: 1243.00 samples/sec accuracy=0.582344 top_k_accuracy_5=0.798945 | |
| Epoch[69] Batch [5000] Speed: 1243.45 samples/sec accuracy=0.578516 top_k_accuracy_5=0.792148 | |
| Epoch[69] Train-accuracy=0.561523 | |
| Epoch[69] Train-top_k_accuracy_5=0.781250 | |
| Epoch[69] Time cost=1038.774 | |
| Saved checkpoint to "model/resnet18-0070.params" | |
| Epoch[69] Validation-accuracy=0.576562 | |
| Epoch[69] Validation-top_k_accuracy_5=0.799499 | |
| Epoch[70] Batch [100] Speed: 1234.84 samples/sec accuracy=0.582341 top_k_accuracy_5=0.798267 | |
| Epoch[70] Batch [200] Speed: 1244.15 samples/sec accuracy=0.578789 top_k_accuracy_5=0.793984 | |
| Epoch[70] Batch [300] Speed: 1235.28 samples/sec accuracy=0.580391 top_k_accuracy_5=0.798672 | |
| Epoch[70] Batch [400] Speed: 1243.58 samples/sec accuracy=0.577187 top_k_accuracy_5=0.795664 | |
| Epoch[70] Batch [500] Speed: 1236.51 samples/sec accuracy=0.580820 top_k_accuracy_5=0.802070 | |
| Epoch[70] Batch [600] Speed: 1233.29 samples/sec accuracy=0.580742 top_k_accuracy_5=0.795625 | |
| Epoch[70] Batch [700] Speed: 1231.73 samples/sec accuracy=0.572852 top_k_accuracy_5=0.793477 | |
| Epoch[70] Batch [800] Speed: 1239.56 samples/sec accuracy=0.577930 top_k_accuracy_5=0.797305 | |
| Epoch[70] Batch [900] Speed: 1211.05 samples/sec accuracy=0.576016 top_k_accuracy_5=0.796211 | |
| Epoch[70] Batch [1000] Speed: 1213.51 samples/sec accuracy=0.576680 top_k_accuracy_5=0.795430 | |
| Epoch[70] Batch [1100] Speed: 1215.08 samples/sec accuracy=0.582812 top_k_accuracy_5=0.796484 | |
| Epoch[70] Batch [1200] Speed: 1218.56 samples/sec accuracy=0.578125 top_k_accuracy_5=0.796719 | |
| Epoch[70] Batch [1300] Speed: 1229.24 samples/sec accuracy=0.578906 top_k_accuracy_5=0.794297 | |
| Epoch[70] Batch [1400] Speed: 1219.21 samples/sec accuracy=0.580859 top_k_accuracy_5=0.795859 | |
| Epoch[70] Batch [1500] Speed: 1222.19 samples/sec accuracy=0.579531 top_k_accuracy_5=0.793164 | |
| Epoch[70] Batch [1600] Speed: 1213.78 samples/sec accuracy=0.574766 top_k_accuracy_5=0.794727 | |
| Epoch[70] Batch [1700] Speed: 1231.02 samples/sec accuracy=0.585820 top_k_accuracy_5=0.798164 | |
| Epoch[70] Batch [1800] Speed: 1219.89 samples/sec accuracy=0.578984 top_k_accuracy_5=0.794687 | |
| Epoch[70] Batch [1900] Speed: 1213.08 samples/sec accuracy=0.579727 top_k_accuracy_5=0.795195 | |
| Epoch[70] Batch [2000] Speed: 1220.17 samples/sec accuracy=0.579844 top_k_accuracy_5=0.798008 | |
| Epoch[70] Batch [2100] Speed: 1228.97 samples/sec accuracy=0.574102 top_k_accuracy_5=0.795430 | |
| Epoch[70] Batch [2200] Speed: 1215.06 samples/sec accuracy=0.580039 top_k_accuracy_5=0.795352 | |
| Epoch[70] Batch [2300] Speed: 1215.47 samples/sec accuracy=0.575391 top_k_accuracy_5=0.796055 | |
| Epoch[70] Batch [2400] Speed: 1230.95 samples/sec accuracy=0.579375 top_k_accuracy_5=0.797383 | |
| Epoch[70] Batch [2500] Speed: 1218.50 samples/sec accuracy=0.579102 top_k_accuracy_5=0.797930 | |
| Epoch[70] Batch [2600] Speed: 1220.49 samples/sec accuracy=0.576953 top_k_accuracy_5=0.796953 | |
| Epoch[70] Batch [2700] Speed: 1226.33 samples/sec accuracy=0.579648 top_k_accuracy_5=0.795898 | |
| Epoch[70] Batch [2800] Speed: 1216.86 samples/sec accuracy=0.578633 top_k_accuracy_5=0.798516 | |
| Epoch[70] Batch [2900] Speed: 1223.09 samples/sec accuracy=0.581641 top_k_accuracy_5=0.797773 | |
| Epoch[70] Batch [3000] Speed: 1220.03 samples/sec accuracy=0.573125 top_k_accuracy_5=0.793398 | |
| Epoch[70] Batch [3100] Speed: 1227.29 samples/sec accuracy=0.574180 top_k_accuracy_5=0.794258 | |
| Epoch[70] Batch [3200] Speed: 1218.77 samples/sec accuracy=0.586055 top_k_accuracy_5=0.800273 | |
| Epoch[70] Batch [3300] Speed: 1224.30 samples/sec accuracy=0.582383 top_k_accuracy_5=0.794961 | |
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| Epoch[70] Batch [3500] Speed: 1219.44 samples/sec accuracy=0.583164 top_k_accuracy_5=0.797773 | |
| Epoch[70] Batch [3600] Speed: 1219.89 samples/sec accuracy=0.578281 top_k_accuracy_5=0.799961 | |
| Epoch[70] Batch [3700] Speed: 1215.18 samples/sec accuracy=0.581953 top_k_accuracy_5=0.797422 | |
| Epoch[70] Batch [3800] Speed: 1213.40 samples/sec accuracy=0.580039 top_k_accuracy_5=0.798711 | |
| Epoch[70] Batch [3900] Speed: 1216.22 samples/sec accuracy=0.577148 top_k_accuracy_5=0.797617 | |
| Epoch[70] Batch [4000] Speed: 1225.81 samples/sec accuracy=0.582031 top_k_accuracy_5=0.799648 | |
| Epoch[70] Batch [4100] Speed: 1227.24 samples/sec accuracy=0.579883 top_k_accuracy_5=0.798711 | |
| Epoch[70] Batch [4200] Speed: 1217.33 samples/sec accuracy=0.580742 top_k_accuracy_5=0.799023 | |
| Epoch[70] Batch [4300] Speed: 1241.68 samples/sec accuracy=0.578711 top_k_accuracy_5=0.793008 | |
| Epoch[70] Batch [4400] Speed: 1225.71 samples/sec accuracy=0.579375 top_k_accuracy_5=0.798984 | |
| Epoch[70] Batch [4500] Speed: 1240.30 samples/sec accuracy=0.583125 top_k_accuracy_5=0.798945 | |
| Epoch[70] Batch [4600] Speed: 1242.69 samples/sec accuracy=0.581211 top_k_accuracy_5=0.798086 | |
| Epoch[70] Batch [4700] Speed: 1232.55 samples/sec accuracy=0.586602 top_k_accuracy_5=0.803945 | |
| Epoch[70] Batch [4800] Speed: 1234.21 samples/sec accuracy=0.576133 top_k_accuracy_5=0.796016 | |
| Epoch[70] Batch [4900] Speed: 1241.68 samples/sec accuracy=0.585898 top_k_accuracy_5=0.800859 | |
| Epoch[70] Batch [5000] Speed: 1235.98 samples/sec accuracy=0.579727 top_k_accuracy_5=0.801367 | |
| Epoch[70] Train-accuracy=0.566406 | |
| Epoch[70] Train-top_k_accuracy_5=0.792969 | |
| Epoch[70] Time cost=1045.431 | |
| Saved checkpoint to "model/resnet18-0071.params" | |
| Epoch[70] Validation-accuracy=0.577687 | |
| Epoch[70] Validation-top_k_accuracy_5=0.797852 | |
| Epoch[71] Batch [100] Speed: 1246.04 samples/sec accuracy=0.580562 top_k_accuracy_5=0.796604 | |
| Epoch[71] Batch [200] Speed: 1222.53 samples/sec accuracy=0.581719 top_k_accuracy_5=0.798594 | |
| Epoch[71] Batch [300] Speed: 1244.38 samples/sec accuracy=0.575859 top_k_accuracy_5=0.797070 | |
| Epoch[71] Batch [400] Speed: 1253.67 samples/sec accuracy=0.576250 top_k_accuracy_5=0.798125 | |
| Epoch[71] Batch [500] Speed: 1260.96 samples/sec accuracy=0.585156 top_k_accuracy_5=0.799531 | |
| Epoch[71] Batch [600] Speed: 1258.04 samples/sec accuracy=0.581758 top_k_accuracy_5=0.796875 | |
| Epoch[71] Batch [700] Speed: 1234.61 samples/sec accuracy=0.576523 top_k_accuracy_5=0.792422 | |
| Epoch[71] Batch [800] Speed: 1245.62 samples/sec accuracy=0.578516 top_k_accuracy_5=0.795937 | |
| Epoch[71] Batch [900] Speed: 1220.79 samples/sec accuracy=0.578906 top_k_accuracy_5=0.795117 | |
| Epoch[71] Batch [1000] Speed: 1239.47 samples/sec accuracy=0.575000 top_k_accuracy_5=0.794102 | |
| Epoch[71] Batch [1100] Speed: 1246.48 samples/sec accuracy=0.586719 top_k_accuracy_5=0.799531 | |
| Epoch[71] Batch [1200] Speed: 1238.60 samples/sec accuracy=0.577187 top_k_accuracy_5=0.795234 | |
| Epoch[71] Batch [1300] Speed: 1239.90 samples/sec accuracy=0.575273 top_k_accuracy_5=0.792266 | |
| Epoch[71] Batch [1400] Speed: 1225.40 samples/sec accuracy=0.582852 top_k_accuracy_5=0.797266 | |
| Epoch[71] Batch [1500] Speed: 1206.80 samples/sec accuracy=0.577461 top_k_accuracy_5=0.793555 | |
| Epoch[71] Batch [1600] Speed: 1234.38 samples/sec accuracy=0.576797 top_k_accuracy_5=0.796367 | |
| Epoch[71] Batch [1700] Speed: 1243.27 samples/sec accuracy=0.579805 top_k_accuracy_5=0.798008 | |
| Epoch[71] Batch [1800] Speed: 1246.89 samples/sec accuracy=0.578711 top_k_accuracy_5=0.798906 | |
| Epoch[71] Batch [1900] Speed: 1220.09 samples/sec accuracy=0.582266 top_k_accuracy_5=0.800742 | |
| Epoch[71] Batch [2000] Speed: 1225.70 samples/sec accuracy=0.578047 top_k_accuracy_5=0.794844 | |
| Epoch[71] Batch [2100] Speed: 1226.67 samples/sec accuracy=0.578789 top_k_accuracy_5=0.795977 | |
| Epoch[71] Batch [2200] Speed: 1229.58 samples/sec accuracy=0.582812 top_k_accuracy_5=0.801172 | |
| Epoch[71] Batch [2300] Speed: 1225.59 samples/sec accuracy=0.579023 top_k_accuracy_5=0.796719 | |
| Epoch[71] Batch [2400] Speed: 1222.92 samples/sec accuracy=0.580859 top_k_accuracy_5=0.796641 | |
| Epoch[71] Batch [2500] Speed: 1221.23 samples/sec accuracy=0.581172 top_k_accuracy_5=0.798203 | |
| Epoch[71] Batch [2600] Speed: 1221.07 samples/sec accuracy=0.576641 top_k_accuracy_5=0.796055 | |
| Epoch[71] Batch [2700] Speed: 1237.94 samples/sec accuracy=0.578672 top_k_accuracy_5=0.795977 | |
| Epoch[71] Batch [2800] Speed: 1237.86 samples/sec accuracy=0.580820 top_k_accuracy_5=0.795234 | |
| Epoch[71] Batch [2900] Speed: 1235.62 samples/sec accuracy=0.582656 top_k_accuracy_5=0.799063 | |
| Epoch[71] Batch [3000] Speed: 1233.44 samples/sec accuracy=0.576641 top_k_accuracy_5=0.796562 | |
| Epoch[71] Batch [3100] Speed: 1236.98 samples/sec accuracy=0.577461 top_k_accuracy_5=0.796680 | |
| Epoch[71] Batch [3200] Speed: 1239.58 samples/sec accuracy=0.584570 top_k_accuracy_5=0.801094 | |
| Epoch[71] Batch [3300] Speed: 1251.38 samples/sec accuracy=0.581758 top_k_accuracy_5=0.797148 | |
| Epoch[71] Batch [3400] Speed: 1236.44 samples/sec accuracy=0.584766 top_k_accuracy_5=0.802109 | |
| Epoch[71] Batch [3500] Speed: 1242.43 samples/sec accuracy=0.587500 top_k_accuracy_5=0.797695 | |
| Epoch[71] Batch [3600] Speed: 1241.81 samples/sec accuracy=0.578047 top_k_accuracy_5=0.799336 | |
| Epoch[71] Batch [3700] Speed: 1247.31 samples/sec accuracy=0.580313 top_k_accuracy_5=0.799531 | |
| Epoch[71] Batch [3800] Speed: 1235.37 samples/sec accuracy=0.582422 top_k_accuracy_5=0.801992 | |
| Epoch[71] Batch [3900] Speed: 1235.32 samples/sec accuracy=0.582461 top_k_accuracy_5=0.799844 | |
| Epoch[71] Batch [4000] Speed: 1237.57 samples/sec accuracy=0.587266 top_k_accuracy_5=0.803789 | |
| Epoch[71] Batch [4100] Speed: 1243.47 samples/sec accuracy=0.578789 top_k_accuracy_5=0.796406 | |
| Epoch[71] Batch [4200] Speed: 1247.58 samples/sec accuracy=0.581953 top_k_accuracy_5=0.798242 | |
| Epoch[71] Batch [4300] Speed: 1241.00 samples/sec accuracy=0.579492 top_k_accuracy_5=0.795742 | |
| Epoch[71] Batch [4400] Speed: 1237.73 samples/sec accuracy=0.581562 top_k_accuracy_5=0.798086 | |
| Epoch[71] Batch [4500] Speed: 1240.76 samples/sec accuracy=0.585000 top_k_accuracy_5=0.798750 | |
| Epoch[71] Batch [4600] Speed: 1244.50 samples/sec accuracy=0.578555 top_k_accuracy_5=0.794844 | |
| Epoch[71] Batch [4700] Speed: 1233.04 samples/sec accuracy=0.585625 top_k_accuracy_5=0.803242 | |
| Epoch[71] Batch [4800] Speed: 1247.82 samples/sec accuracy=0.582461 top_k_accuracy_5=0.801641 | |
| Epoch[71] Batch [4900] Speed: 1230.55 samples/sec accuracy=0.589609 top_k_accuracy_5=0.803203 | |
| Epoch[71] Batch [5000] Speed: 1227.50 samples/sec accuracy=0.579727 top_k_accuracy_5=0.794805 | |
| Epoch[71] Train-accuracy=0.581055 | |
| Epoch[71] Train-top_k_accuracy_5=0.784180 | |
| Epoch[71] Time cost=1036.314 | |
| Saved checkpoint to "model/resnet18-0072.params" | |
| Epoch[71] Validation-accuracy=0.577224 | |
| Epoch[71] Validation-top_k_accuracy_5=0.798918 | |
| Epoch[72] Batch [100] Speed: 1242.17 samples/sec accuracy=0.582843 top_k_accuracy_5=0.799389 | |
| Epoch[72] Batch [200] Speed: 1240.86 samples/sec accuracy=0.579727 top_k_accuracy_5=0.799063 | |
| Epoch[72] Batch [300] Speed: 1239.79 samples/sec accuracy=0.580977 top_k_accuracy_5=0.801484 | |
| Epoch[72] Batch [400] Speed: 1229.45 samples/sec accuracy=0.579531 top_k_accuracy_5=0.796562 | |
| Epoch[72] Batch [500] Speed: 1240.11 samples/sec accuracy=0.585938 top_k_accuracy_5=0.798711 | |
| Epoch[72] Batch [600] Speed: 1229.83 samples/sec accuracy=0.580977 top_k_accuracy_5=0.795664 | |
| Epoch[72] Batch [700] Speed: 1236.22 samples/sec accuracy=0.578047 top_k_accuracy_5=0.794883 | |
| Epoch[72] Batch [800] Speed: 1251.75 samples/sec accuracy=0.580820 top_k_accuracy_5=0.796680 | |
| Epoch[72] Batch [900] Speed: 1233.21 samples/sec accuracy=0.580078 top_k_accuracy_5=0.796211 | |
| Epoch[72] Batch [1000] Speed: 1248.70 samples/sec accuracy=0.582070 top_k_accuracy_5=0.798086 | |
| Epoch[72] Batch [1100] Speed: 1246.72 samples/sec accuracy=0.583789 top_k_accuracy_5=0.797734 | |
| Epoch[72] Batch [1200] Speed: 1237.25 samples/sec accuracy=0.579648 top_k_accuracy_5=0.800703 | |
| Epoch[72] Batch [1300] Speed: 1235.48 samples/sec accuracy=0.578438 top_k_accuracy_5=0.796016 | |
| Epoch[72] Batch [1400] Speed: 1241.01 samples/sec accuracy=0.579180 top_k_accuracy_5=0.798203 | |
| Epoch[72] Batch [1500] Speed: 1243.16 samples/sec accuracy=0.579180 top_k_accuracy_5=0.791914 | |
| Epoch[72] Batch [1600] Speed: 1241.98 samples/sec accuracy=0.579414 top_k_accuracy_5=0.797148 | |
| Epoch[72] Batch [1700] Speed: 1242.82 samples/sec accuracy=0.582305 top_k_accuracy_5=0.800312 | |
| Epoch[72] Batch [1800] Speed: 1239.23 samples/sec accuracy=0.577773 top_k_accuracy_5=0.797383 | |
| Epoch[72] Batch [1900] Speed: 1229.60 samples/sec accuracy=0.578516 top_k_accuracy_5=0.795898 | |
| Epoch[72] Batch [2000] Speed: 1226.46 samples/sec accuracy=0.580469 top_k_accuracy_5=0.798281 | |
| Epoch[72] Batch [2100] Speed: 1250.52 samples/sec accuracy=0.577031 top_k_accuracy_5=0.792695 | |
| Epoch[72] Batch [2200] Speed: 1242.64 samples/sec accuracy=0.588828 top_k_accuracy_5=0.800664 | |
| Epoch[72] Batch [2300] Speed: 1239.02 samples/sec accuracy=0.579297 top_k_accuracy_5=0.798125 | |
| Epoch[72] Batch [2400] Speed: 1228.52 samples/sec accuracy=0.582148 top_k_accuracy_5=0.800977 | |
| Epoch[72] Batch [2500] Speed: 1242.90 samples/sec accuracy=0.581211 top_k_accuracy_5=0.800078 | |
| Epoch[72] Batch [2600] Speed: 1240.02 samples/sec accuracy=0.579336 top_k_accuracy_5=0.797344 | |
| Epoch[72] Batch [2700] Speed: 1246.32 samples/sec accuracy=0.573945 top_k_accuracy_5=0.796484 | |
| Epoch[72] Batch [2800] Speed: 1250.11 samples/sec accuracy=0.582656 top_k_accuracy_5=0.799219 | |
| Epoch[72] Batch [2900] Speed: 1243.35 samples/sec accuracy=0.584961 top_k_accuracy_5=0.799766 | |
| Epoch[72] Batch [3000] Speed: 1239.51 samples/sec accuracy=0.576133 top_k_accuracy_5=0.796328 | |
| Epoch[72] Batch [3100] Speed: 1225.30 samples/sec accuracy=0.578516 top_k_accuracy_5=0.796719 | |
| Epoch[72] Batch [3200] Speed: 1248.19 samples/sec accuracy=0.589141 top_k_accuracy_5=0.802109 | |
| Epoch[72] Batch [3300] Speed: 1250.55 samples/sec accuracy=0.582539 top_k_accuracy_5=0.796719 | |
| Epoch[72] Batch [3400] Speed: 1236.59 samples/sec accuracy=0.580469 top_k_accuracy_5=0.803633 | |
| Epoch[72] Batch [3500] Speed: 1243.25 samples/sec accuracy=0.582344 top_k_accuracy_5=0.798125 | |
| Epoch[72] Batch [3600] Speed: 1237.95 samples/sec accuracy=0.578359 top_k_accuracy_5=0.795664 | |
| Epoch[72] Batch [3700] Speed: 1241.44 samples/sec accuracy=0.582227 top_k_accuracy_5=0.798555 | |
| Epoch[72] Batch [3800] Speed: 1237.22 samples/sec accuracy=0.582930 top_k_accuracy_5=0.798047 | |
| Epoch[72] Batch [3900] Speed: 1252.24 samples/sec accuracy=0.578516 top_k_accuracy_5=0.795937 | |
| Epoch[72] Batch [4000] Speed: 1249.34 samples/sec accuracy=0.588398 top_k_accuracy_5=0.803164 | |
| Epoch[72] Batch [4100] Speed: 1234.12 samples/sec accuracy=0.579609 top_k_accuracy_5=0.798633 | |
| Epoch[72] Batch [4200] Speed: 1243.98 samples/sec accuracy=0.581719 top_k_accuracy_5=0.799687 | |
| Epoch[72] Batch [4300] Speed: 1240.64 samples/sec accuracy=0.584883 top_k_accuracy_5=0.797422 | |
| Epoch[72] Batch [4400] Speed: 1231.09 samples/sec accuracy=0.586523 top_k_accuracy_5=0.802891 | |
| Epoch[72] Batch [4500] Speed: 1240.05 samples/sec accuracy=0.584922 top_k_accuracy_5=0.800469 | |
| Epoch[72] Batch [4600] Speed: 1233.50 samples/sec accuracy=0.582148 top_k_accuracy_5=0.799453 | |
| Epoch[72] Batch [4700] Speed: 1242.07 samples/sec accuracy=0.586211 top_k_accuracy_5=0.801406 | |
| Epoch[72] Batch [4800] Speed: 1245.95 samples/sec accuracy=0.583711 top_k_accuracy_5=0.800352 | |
| Epoch[72] Batch [4900] Speed: 1236.15 samples/sec accuracy=0.588242 top_k_accuracy_5=0.805703 | |
| Epoch[72] Batch [5000] Speed: 1248.01 samples/sec accuracy=0.584570 top_k_accuracy_5=0.798594 | |
| Epoch[72] Train-accuracy=0.559896 | |
| Epoch[72] Train-top_k_accuracy_5=0.769531 | |
| Epoch[72] Time cost=1033.182 | |
| Saved checkpoint to "model/resnet18-0073.params" | |
| Epoch[72] Validation-accuracy=0.578766 | |
| Epoch[72] Validation-top_k_accuracy_5=0.799379 | |
| Epoch[73] Batch [100] Speed: 1240.79 samples/sec accuracy=0.584429 top_k_accuracy_5=0.799969 | |
| Epoch[73] Batch [200] Speed: 1242.11 samples/sec accuracy=0.579219 top_k_accuracy_5=0.797773 | |
| Epoch[73] Batch [300] Speed: 1226.26 samples/sec accuracy=0.584180 top_k_accuracy_5=0.801133 | |
| Epoch[73] Batch [400] Speed: 1230.98 samples/sec accuracy=0.578906 top_k_accuracy_5=0.797188 | |
| Epoch[73] Batch [500] Speed: 1232.73 samples/sec accuracy=0.584141 top_k_accuracy_5=0.796992 | |
| Epoch[73] Batch [600] Speed: 1244.49 samples/sec accuracy=0.583203 top_k_accuracy_5=0.799531 | |
| Epoch[73] Batch [700] Speed: 1231.40 samples/sec accuracy=0.581953 top_k_accuracy_5=0.796094 | |
| Epoch[73] Batch [800] Speed: 1241.78 samples/sec accuracy=0.579766 top_k_accuracy_5=0.795273 | |
| Epoch[73] Batch [900] Speed: 1251.06 samples/sec accuracy=0.582422 top_k_accuracy_5=0.799961 | |
| Epoch[73] Batch [1000] Speed: 1243.21 samples/sec accuracy=0.580703 top_k_accuracy_5=0.798398 | |
| Epoch[73] Batch [1100] Speed: 1257.12 samples/sec accuracy=0.584648 top_k_accuracy_5=0.803281 | |
| Epoch[73] Batch [1200] Speed: 1237.76 samples/sec accuracy=0.581055 top_k_accuracy_5=0.798164 | |
| Epoch[73] Batch [1300] Speed: 1239.66 samples/sec accuracy=0.582617 top_k_accuracy_5=0.796445 | |
| Epoch[73] Batch [1400] Speed: 1241.57 samples/sec accuracy=0.578672 top_k_accuracy_5=0.799102 | |
| Epoch[73] Batch [1500] Speed: 1231.16 samples/sec accuracy=0.577695 top_k_accuracy_5=0.794023 | |
| Epoch[73] Batch [1600] Speed: 1224.68 samples/sec accuracy=0.579063 top_k_accuracy_5=0.798555 | |
| Epoch[73] Batch [1700] Speed: 1230.42 samples/sec accuracy=0.577617 top_k_accuracy_5=0.798711 | |
| Epoch[73] Batch [1800] Speed: 1245.35 samples/sec accuracy=0.578828 top_k_accuracy_5=0.800039 | |
| Epoch[73] Batch [1900] Speed: 1245.94 samples/sec accuracy=0.577070 top_k_accuracy_5=0.798477 | |
| Epoch[73] Batch [2000] Speed: 1248.57 samples/sec accuracy=0.582578 top_k_accuracy_5=0.799531 | |
| Epoch[73] Batch [2100] Speed: 1240.41 samples/sec accuracy=0.581875 top_k_accuracy_5=0.799297 | |
| Epoch[73] Batch [2200] Speed: 1246.28 samples/sec accuracy=0.582305 top_k_accuracy_5=0.796914 | |
| Epoch[73] Batch [2300] Speed: 1241.23 samples/sec accuracy=0.582461 top_k_accuracy_5=0.797695 | |
| Epoch[73] Batch [2400] Speed: 1240.55 samples/sec accuracy=0.584102 top_k_accuracy_5=0.797695 | |
| Epoch[73] Batch [2500] Speed: 1237.84 samples/sec accuracy=0.580273 top_k_accuracy_5=0.801211 | |
| Epoch[73] Batch [2600] Speed: 1229.19 samples/sec accuracy=0.581133 top_k_accuracy_5=0.797813 | |
| Epoch[73] Batch [2700] Speed: 1252.74 samples/sec accuracy=0.583828 top_k_accuracy_5=0.794844 | |
| Epoch[73] Batch [2800] Speed: 1240.94 samples/sec accuracy=0.581797 top_k_accuracy_5=0.797852 | |
| Epoch[73] Batch [2900] Speed: 1248.69 samples/sec accuracy=0.584648 top_k_accuracy_5=0.797070 | |
| Epoch[73] Batch [3000] Speed: 1250.10 samples/sec accuracy=0.578633 top_k_accuracy_5=0.796836 | |
| Epoch[73] Batch [3100] Speed: 1241.24 samples/sec accuracy=0.581680 top_k_accuracy_5=0.796719 | |
| Epoch[73] Batch [3200] Speed: 1237.08 samples/sec accuracy=0.586172 top_k_accuracy_5=0.801562 | |
| Epoch[73] Batch [3300] Speed: 1234.11 samples/sec accuracy=0.579297 top_k_accuracy_5=0.795156 | |
| Epoch[73] Batch [3400] Speed: 1225.53 samples/sec accuracy=0.589648 top_k_accuracy_5=0.806289 | |
| Epoch[73] Batch [3500] Speed: 1227.10 samples/sec accuracy=0.584219 top_k_accuracy_5=0.799297 | |
| Epoch[73] Batch [3600] Speed: 1241.98 samples/sec accuracy=0.583711 top_k_accuracy_5=0.798828 | |
| Epoch[73] Batch [3700] Speed: 1248.98 samples/sec accuracy=0.585703 top_k_accuracy_5=0.797773 | |
| Epoch[73] Batch [3800] Speed: 1240.89 samples/sec accuracy=0.581953 top_k_accuracy_5=0.799219 | |
| Epoch[73] Batch [3900] Speed: 1238.62 samples/sec accuracy=0.584922 top_k_accuracy_5=0.800000 | |
| Epoch[73] Batch [4000] Speed: 1240.29 samples/sec accuracy=0.587578 top_k_accuracy_5=0.801836 | |
| Epoch[73] Batch [4100] Speed: 1233.75 samples/sec accuracy=0.575273 top_k_accuracy_5=0.798477 | |
| Epoch[73] Batch [4200] Speed: 1232.00 samples/sec accuracy=0.582969 top_k_accuracy_5=0.800664 | |
| Epoch[73] Batch [4300] Speed: 1238.29 samples/sec accuracy=0.584258 top_k_accuracy_5=0.796523 | |
| Epoch[73] Batch [4400] Speed: 1238.61 samples/sec accuracy=0.586094 top_k_accuracy_5=0.801133 | |
| Epoch[73] Batch [4500] Speed: 1236.90 samples/sec accuracy=0.586875 top_k_accuracy_5=0.805430 | |
| Epoch[73] Batch [4600] Speed: 1250.00 samples/sec accuracy=0.585234 top_k_accuracy_5=0.802773 | |
| Epoch[73] Batch [4700] Speed: 1232.25 samples/sec accuracy=0.587109 top_k_accuracy_5=0.805195 | |
| Epoch[73] Batch [4800] Speed: 1240.07 samples/sec accuracy=0.580859 top_k_accuracy_5=0.798047 | |
| Epoch[73] Batch [4900] Speed: 1246.82 samples/sec accuracy=0.588008 top_k_accuracy_5=0.803477 | |
| Epoch[73] Batch [5000] Speed: 1250.85 samples/sec accuracy=0.580352 top_k_accuracy_5=0.799258 | |
| Epoch[73] Train-accuracy=0.555664 | |
| Epoch[73] Train-top_k_accuracy_5=0.781250 | |
| Epoch[73] Time cost=1033.854 | |
| Saved checkpoint to "model/resnet18-0074.params" | |
| Epoch[73] Validation-accuracy=0.578922 | |
| Epoch[73] Validation-top_k_accuracy_5=0.799665 | |
| Epoch[74] Batch [100] Speed: 1238.12 samples/sec accuracy=0.585280 top_k_accuracy_5=0.800317 | |
| Epoch[74] Batch [200] Speed: 1258.12 samples/sec accuracy=0.580625 top_k_accuracy_5=0.799180 | |
| Epoch[74] Batch [300] Speed: 1253.64 samples/sec accuracy=0.579336 top_k_accuracy_5=0.800586 | |
| Epoch[74] Batch [400] Speed: 1277.54 samples/sec accuracy=0.578008 top_k_accuracy_5=0.799063 | |
| Epoch[74] Batch [500] Speed: 1280.97 samples/sec accuracy=0.586328 top_k_accuracy_5=0.800625 | |
| Epoch[74] Batch [600] Speed: 1280.18 samples/sec accuracy=0.579805 top_k_accuracy_5=0.796172 | |
| Epoch[74] Batch [700] Speed: 1270.85 samples/sec accuracy=0.576914 top_k_accuracy_5=0.794531 | |
| Epoch[74] Batch [800] Speed: 1248.33 samples/sec accuracy=0.581523 top_k_accuracy_5=0.796836 | |
| Epoch[74] Batch [900] Speed: 1237.06 samples/sec accuracy=0.581055 top_k_accuracy_5=0.800234 | |
| Epoch[74] Batch [1000] Speed: 1253.39 samples/sec accuracy=0.581953 top_k_accuracy_5=0.797461 | |
| Epoch[74] Batch [1100] Speed: 1276.74 samples/sec accuracy=0.585938 top_k_accuracy_5=0.802461 | |
| Epoch[74] Batch [1200] Speed: 1268.34 samples/sec accuracy=0.581250 top_k_accuracy_5=0.801875 | |
| Epoch[74] Batch [1300] Speed: 1262.49 samples/sec accuracy=0.581562 top_k_accuracy_5=0.794492 | |
| Epoch[74] Batch [1400] Speed: 1249.97 samples/sec accuracy=0.583320 top_k_accuracy_5=0.800625 | |
| Epoch[74] Batch [1500] Speed: 1229.75 samples/sec accuracy=0.580352 top_k_accuracy_5=0.795430 | |
| Epoch[74] Batch [1600] Speed: 1220.70 samples/sec accuracy=0.581445 top_k_accuracy_5=0.800898 | |
| Epoch[74] Batch [1700] Speed: 1226.39 samples/sec accuracy=0.585039 top_k_accuracy_5=0.801133 | |
| Epoch[74] Batch [1800] Speed: 1229.53 samples/sec accuracy=0.585000 top_k_accuracy_5=0.800859 | |
| Epoch[74] Batch [1900] Speed: 1223.69 samples/sec accuracy=0.583047 top_k_accuracy_5=0.799180 | |
| Epoch[74] Batch [2000] Speed: 1230.17 samples/sec accuracy=0.586250 top_k_accuracy_5=0.798242 | |
| Epoch[74] Batch [2100] Speed: 1235.20 samples/sec accuracy=0.580352 top_k_accuracy_5=0.797773 | |
| Epoch[74] Batch [2200] Speed: 1236.21 samples/sec accuracy=0.580430 top_k_accuracy_5=0.800234 | |
| Epoch[74] Batch [2300] Speed: 1232.88 samples/sec accuracy=0.582266 top_k_accuracy_5=0.796172 | |
| Epoch[74] Batch [2400] Speed: 1228.03 samples/sec accuracy=0.582812 top_k_accuracy_5=0.798867 | |
| Epoch[74] Batch [2500] Speed: 1225.70 samples/sec accuracy=0.580039 top_k_accuracy_5=0.800430 | |
| Epoch[74] Batch [2600] Speed: 1233.67 samples/sec accuracy=0.582305 top_k_accuracy_5=0.798906 | |
| Epoch[74] Batch [2700] Speed: 1233.00 samples/sec accuracy=0.580117 top_k_accuracy_5=0.795742 | |
| Epoch[74] Batch [2800] Speed: 1226.71 samples/sec accuracy=0.579297 top_k_accuracy_5=0.796719 | |
| Epoch[74] Batch [2900] Speed: 1225.90 samples/sec accuracy=0.588164 top_k_accuracy_5=0.799883 | |
| Epoch[74] Batch [3000] Speed: 1233.41 samples/sec accuracy=0.579023 top_k_accuracy_5=0.795508 | |
| Epoch[74] Batch [3100] Speed: 1242.83 samples/sec accuracy=0.582578 top_k_accuracy_5=0.798711 | |
| Epoch[74] Batch [3200] Speed: 1236.44 samples/sec accuracy=0.587070 top_k_accuracy_5=0.803086 | |
| Epoch[74] Batch [3300] Speed: 1225.05 samples/sec accuracy=0.581562 top_k_accuracy_5=0.797773 | |
| Epoch[74] Batch [3400] Speed: 1229.74 samples/sec accuracy=0.585820 top_k_accuracy_5=0.800820 | |
| Epoch[74] Batch [3500] Speed: 1217.60 samples/sec accuracy=0.582383 top_k_accuracy_5=0.798672 | |
| Epoch[74] Batch [3600] Speed: 1245.51 samples/sec accuracy=0.586797 top_k_accuracy_5=0.802969 | |
| Epoch[74] Batch [3700] Speed: 1230.60 samples/sec accuracy=0.584063 top_k_accuracy_5=0.796641 | |
| Epoch[74] Batch [3800] Speed: 1243.83 samples/sec accuracy=0.587734 top_k_accuracy_5=0.803906 | |
| Epoch[74] Batch [3900] Speed: 1233.96 samples/sec accuracy=0.581250 top_k_accuracy_5=0.796758 | |
| Epoch[74] Batch [4000] Speed: 1235.28 samples/sec accuracy=0.591719 top_k_accuracy_5=0.805703 | |
| Epoch[74] Batch [4100] Speed: 1226.29 samples/sec accuracy=0.580117 top_k_accuracy_5=0.803320 | |
| Epoch[74] Batch [4200] Speed: 1244.73 samples/sec accuracy=0.582422 top_k_accuracy_5=0.800039 | |
| Epoch[74] Batch [4300] Speed: 1229.63 samples/sec accuracy=0.581172 top_k_accuracy_5=0.795703 | |
| Epoch[74] Batch [4400] Speed: 1232.39 samples/sec accuracy=0.584414 top_k_accuracy_5=0.800039 | |
| Epoch[74] Batch [4500] Speed: 1227.34 samples/sec accuracy=0.582617 top_k_accuracy_5=0.801680 | |
| Epoch[74] Batch [4600] Speed: 1225.27 samples/sec accuracy=0.583906 top_k_accuracy_5=0.802695 | |
| Epoch[74] Batch [4700] Speed: 1226.75 samples/sec accuracy=0.582734 top_k_accuracy_5=0.798945 | |
| Epoch[74] Batch [4800] Speed: 1233.27 samples/sec accuracy=0.584141 top_k_accuracy_5=0.798867 | |
| Epoch[74] Batch [4900] Speed: 1233.21 samples/sec accuracy=0.588398 top_k_accuracy_5=0.804883 | |
| Epoch[74] Batch [5000] Speed: 1228.59 samples/sec accuracy=0.581797 top_k_accuracy_5=0.797930 | |
| Epoch[74] Train-accuracy=0.553385 | |
| Epoch[74] Train-top_k_accuracy_5=0.785156 | |
| Epoch[74] Time cost=1033.992 | |
| Saved checkpoint to "model/resnet18-0075.params" | |
| Epoch[74] Validation-accuracy=0.579207 | |
| Epoch[74] Validation-top_k_accuracy_5=0.801462 | |
| Epoch[75] Batch [100] Speed: 1227.86 samples/sec accuracy=0.587252 top_k_accuracy_5=0.802831 | |
| Epoch[75] Batch [200] Speed: 1228.61 samples/sec accuracy=0.579180 top_k_accuracy_5=0.800352 | |
| Epoch[75] Batch [300] Speed: 1240.43 samples/sec accuracy=0.589102 top_k_accuracy_5=0.804844 | |
| Epoch[75] Batch [400] Speed: 1242.66 samples/sec accuracy=0.581875 top_k_accuracy_5=0.799648 | |
| Epoch[75] Batch [500] Speed: 1233.19 samples/sec accuracy=0.583047 top_k_accuracy_5=0.799258 | |
| Epoch[75] Batch [600] Speed: 1226.43 samples/sec accuracy=0.582891 top_k_accuracy_5=0.801133 | |
| Epoch[75] Batch [700] Speed: 1238.75 samples/sec accuracy=0.577734 top_k_accuracy_5=0.795469 | |
| Epoch[75] Batch [800] Speed: 1239.67 samples/sec accuracy=0.583828 top_k_accuracy_5=0.798516 | |
| Epoch[75] Batch [900] Speed: 1231.00 samples/sec accuracy=0.583320 top_k_accuracy_5=0.797422 | |
| Epoch[75] Batch [1000] Speed: 1227.34 samples/sec accuracy=0.582656 top_k_accuracy_5=0.801797 | |
| Epoch[75] Batch [1100] Speed: 1228.00 samples/sec accuracy=0.582852 top_k_accuracy_5=0.799883 | |
| Epoch[75] Batch [1200] Speed: 1243.99 samples/sec accuracy=0.582500 top_k_accuracy_5=0.799336 | |
| Epoch[75] Batch [1300] Speed: 1230.15 samples/sec accuracy=0.577109 top_k_accuracy_5=0.796445 | |
| Epoch[75] Batch [1400] Speed: 1234.40 samples/sec accuracy=0.583477 top_k_accuracy_5=0.801484 | |
| Epoch[75] Batch [1500] Speed: 1231.97 samples/sec accuracy=0.580195 top_k_accuracy_5=0.797891 | |
| Epoch[75] Batch [1600] Speed: 1223.74 samples/sec accuracy=0.578906 top_k_accuracy_5=0.797500 | |
| Epoch[75] Batch [1700] Speed: 1240.18 samples/sec accuracy=0.581992 top_k_accuracy_5=0.799648 | |
| Epoch[75] Batch [1800] Speed: 1242.33 samples/sec accuracy=0.581680 top_k_accuracy_5=0.804023 | |
| Epoch[75] Batch [1900] Speed: 1227.44 samples/sec accuracy=0.582773 top_k_accuracy_5=0.796680 | |
| Epoch[75] Batch [2000] Speed: 1227.30 samples/sec accuracy=0.579063 top_k_accuracy_5=0.797188 | |
| Epoch[75] Batch [2100] Speed: 1228.09 samples/sec accuracy=0.583477 top_k_accuracy_5=0.797578 | |
| Epoch[75] Batch [2200] Speed: 1228.16 samples/sec accuracy=0.580000 top_k_accuracy_5=0.800195 | |
| Epoch[75] Batch [2300] Speed: 1233.46 samples/sec accuracy=0.577031 top_k_accuracy_5=0.798711 | |
| Epoch[75] Batch [2400] Speed: 1223.90 samples/sec accuracy=0.581172 top_k_accuracy_5=0.800937 | |
| Epoch[75] Batch [2500] Speed: 1231.46 samples/sec accuracy=0.584570 top_k_accuracy_5=0.800391 | |
| Epoch[75] Batch [2600] Speed: 1224.46 samples/sec accuracy=0.579258 top_k_accuracy_5=0.800820 | |
| Epoch[75] Batch [2700] Speed: 1247.77 samples/sec accuracy=0.582305 top_k_accuracy_5=0.796406 | |
| Epoch[75] Batch [2800] Speed: 1228.79 samples/sec accuracy=0.587344 top_k_accuracy_5=0.800625 | |
| Epoch[75] Batch [2900] Speed: 1229.80 samples/sec accuracy=0.585469 top_k_accuracy_5=0.800234 | |
| Epoch[75] Batch [3000] Speed: 1237.81 samples/sec accuracy=0.579648 top_k_accuracy_5=0.797461 | |
| Epoch[75] Batch [3100] Speed: 1232.98 samples/sec accuracy=0.585664 top_k_accuracy_5=0.800312 | |
| Epoch[75] Batch [3200] Speed: 1233.57 samples/sec accuracy=0.588047 top_k_accuracy_5=0.802383 | |
| Epoch[75] Batch [3300] Speed: 1236.42 samples/sec accuracy=0.586953 top_k_accuracy_5=0.801914 | |
| Epoch[75] Batch [3400] Speed: 1248.03 samples/sec accuracy=0.582773 top_k_accuracy_5=0.801758 | |
| Epoch[75] Batch [3500] Speed: 1255.99 samples/sec accuracy=0.588984 top_k_accuracy_5=0.799961 | |
| Epoch[75] Batch [3600] Speed: 1255.15 samples/sec accuracy=0.588672 top_k_accuracy_5=0.803477 | |
| Epoch[75] Batch [3700] Speed: 1243.14 samples/sec accuracy=0.582383 top_k_accuracy_5=0.799648 | |
| Epoch[75] Batch [3800] Speed: 1253.48 samples/sec accuracy=0.584141 top_k_accuracy_5=0.799023 | |
| Epoch[75] Batch [3900] Speed: 1248.89 samples/sec accuracy=0.581055 top_k_accuracy_5=0.798984 | |
| Epoch[75] Batch [4000] Speed: 1239.88 samples/sec accuracy=0.589063 top_k_accuracy_5=0.801445 | |
| Epoch[75] Batch [4100] Speed: 1243.18 samples/sec accuracy=0.582695 top_k_accuracy_5=0.802539 | |
| Epoch[75] Batch [4200] Speed: 1238.26 samples/sec accuracy=0.581094 top_k_accuracy_5=0.801406 | |
| Epoch[75] Batch [4300] Speed: 1251.66 samples/sec accuracy=0.580781 top_k_accuracy_5=0.796914 | |
| Epoch[75] Batch [4400] Speed: 1241.20 samples/sec accuracy=0.585820 top_k_accuracy_5=0.805469 | |
| Epoch[75] Batch [4500] Speed: 1242.05 samples/sec accuracy=0.583867 top_k_accuracy_5=0.803828 | |
| Epoch[75] Batch [4600] Speed: 1230.61 samples/sec accuracy=0.580117 top_k_accuracy_5=0.797578 | |
| Epoch[75] Batch [4700] Speed: 1232.25 samples/sec accuracy=0.585156 top_k_accuracy_5=0.802656 | |
| Epoch[75] Batch [4800] Speed: 1234.10 samples/sec accuracy=0.580430 top_k_accuracy_5=0.801016 | |
| Epoch[75] Batch [4900] Speed: 1234.24 samples/sec accuracy=0.588594 top_k_accuracy_5=0.802773 | |
| Epoch[75] Batch [5000] Speed: 1233.60 samples/sec accuracy=0.584336 top_k_accuracy_5=0.800703 | |
| Epoch[75] Train-accuracy=0.569336 | |
| Epoch[75] Train-top_k_accuracy_5=0.792969 | |
| Epoch[75] Time cost=1036.897 | |
| Saved checkpoint to "model/resnet18-0076.params" | |
| Epoch[75] Validation-accuracy=0.580449 | |
| Epoch[75] Validation-top_k_accuracy_5=0.800942 | |
| Epoch[76] Batch [100] Speed: 1230.49 samples/sec accuracy=0.588451 top_k_accuracy_5=0.802174 | |
| Epoch[76] Batch [200] Speed: 1231.91 samples/sec accuracy=0.579063 top_k_accuracy_5=0.797109 | |
| Epoch[76] Batch [300] Speed: 1225.20 samples/sec accuracy=0.580117 top_k_accuracy_5=0.800859 | |
| Epoch[76] Batch [400] Speed: 1229.77 samples/sec accuracy=0.585703 top_k_accuracy_5=0.799805 | |
| Epoch[76] Batch [500] Speed: 1221.52 samples/sec accuracy=0.586016 top_k_accuracy_5=0.800508 | |
| Epoch[76] Batch [600] Speed: 1219.33 samples/sec accuracy=0.585195 top_k_accuracy_5=0.798086 | |
| Epoch[76] Batch [700] Speed: 1226.41 samples/sec accuracy=0.579453 top_k_accuracy_5=0.799531 | |
| Epoch[76] Batch [800] Speed: 1227.61 samples/sec accuracy=0.576055 top_k_accuracy_5=0.795625 | |
| Epoch[76] Batch [900] Speed: 1231.57 samples/sec accuracy=0.585508 top_k_accuracy_5=0.804375 | |
| Epoch[76] Batch [1000] Speed: 1231.11 samples/sec accuracy=0.582461 top_k_accuracy_5=0.799375 | |
| Epoch[76] Batch [1100] Speed: 1211.63 samples/sec accuracy=0.586445 top_k_accuracy_5=0.801523 | |
| Epoch[76] Batch [1200] Speed: 1231.42 samples/sec accuracy=0.584297 top_k_accuracy_5=0.804492 | |
| Epoch[76] Batch [1300] Speed: 1226.77 samples/sec accuracy=0.579922 top_k_accuracy_5=0.798672 | |
| Epoch[76] Batch [1400] Speed: 1236.02 samples/sec accuracy=0.583672 top_k_accuracy_5=0.803438 | |
| Epoch[76] Batch [1500] Speed: 1228.43 samples/sec accuracy=0.580742 top_k_accuracy_5=0.798984 | |
| Epoch[76] Batch [1600] Speed: 1232.57 samples/sec accuracy=0.579414 top_k_accuracy_5=0.795586 | |
| Epoch[76] Batch [1700] Speed: 1244.91 samples/sec accuracy=0.581484 top_k_accuracy_5=0.800586 | |
| Epoch[76] Batch [1800] Speed: 1243.00 samples/sec accuracy=0.580820 top_k_accuracy_5=0.801406 | |
| Epoch[76] Batch [1900] Speed: 1217.13 samples/sec accuracy=0.581211 top_k_accuracy_5=0.799102 | |
| Epoch[76] Batch [2000] Speed: 1227.49 samples/sec accuracy=0.586562 top_k_accuracy_5=0.802266 | |
| Epoch[76] Batch [2100] Speed: 1229.56 samples/sec accuracy=0.584180 top_k_accuracy_5=0.800469 | |
| Epoch[76] Batch [2200] Speed: 1232.08 samples/sec accuracy=0.585781 top_k_accuracy_5=0.797969 | |
| Epoch[76] Batch [2300] Speed: 1219.95 samples/sec accuracy=0.578008 top_k_accuracy_5=0.798750 | |
| Epoch[76] Batch [2400] Speed: 1222.19 samples/sec accuracy=0.581992 top_k_accuracy_5=0.799375 | |
| Epoch[76] Batch [2500] Speed: 1221.45 samples/sec accuracy=0.581641 top_k_accuracy_5=0.798633 | |
| Epoch[76] Batch [2600] Speed: 1221.40 samples/sec accuracy=0.581680 top_k_accuracy_5=0.798555 | |
| Epoch[76] Batch [2700] Speed: 1225.94 samples/sec accuracy=0.583398 top_k_accuracy_5=0.797109 | |
| Epoch[76] Batch [2800] Speed: 1228.21 samples/sec accuracy=0.583984 top_k_accuracy_5=0.798828 | |
| Epoch[76] Batch [2900] Speed: 1227.71 samples/sec accuracy=0.584258 top_k_accuracy_5=0.804336 | |
| Epoch[76] Batch [3000] Speed: 1226.02 samples/sec accuracy=0.579023 top_k_accuracy_5=0.801328 | |
| Epoch[76] Batch [3100] Speed: 1208.88 samples/sec accuracy=0.581133 top_k_accuracy_5=0.799063 | |
| Epoch[76] Batch [3200] Speed: 1214.09 samples/sec accuracy=0.585508 top_k_accuracy_5=0.805352 | |
| Epoch[76] Batch [3300] Speed: 1225.52 samples/sec accuracy=0.586367 top_k_accuracy_5=0.802031 | |
| Epoch[76] Batch [3400] Speed: 1213.95 samples/sec accuracy=0.585078 top_k_accuracy_5=0.802188 | |
| Epoch[76] Batch [3500] Speed: 1221.16 samples/sec accuracy=0.582812 top_k_accuracy_5=0.798086 | |
| Epoch[76] Batch [3600] Speed: 1230.73 samples/sec accuracy=0.584609 top_k_accuracy_5=0.801172 | |
| Epoch[76] Batch [3700] Speed: 1224.40 samples/sec accuracy=0.587773 top_k_accuracy_5=0.800937 | |
| Epoch[76] Batch [3800] Speed: 1228.96 samples/sec accuracy=0.589570 top_k_accuracy_5=0.803320 | |
| Epoch[76] Batch [3900] Speed: 1226.59 samples/sec accuracy=0.583828 top_k_accuracy_5=0.799180 | |
| Epoch[76] Batch [4000] Speed: 1239.42 samples/sec accuracy=0.588047 top_k_accuracy_5=0.800273 | |
| Epoch[76] Batch [4100] Speed: 1223.64 samples/sec accuracy=0.585938 top_k_accuracy_5=0.802695 | |
| Epoch[76] Batch [4200] Speed: 1226.30 samples/sec accuracy=0.584297 top_k_accuracy_5=0.801914 | |
| Epoch[76] Batch [4300] Speed: 1237.73 samples/sec accuracy=0.583359 top_k_accuracy_5=0.797930 | |
| Epoch[76] Batch [4400] Speed: 1222.37 samples/sec accuracy=0.585195 top_k_accuracy_5=0.799141 | |
| Epoch[76] Batch [4500] Speed: 1222.29 samples/sec accuracy=0.584453 top_k_accuracy_5=0.804570 | |
| Epoch[76] Batch [4600] Speed: 1226.27 samples/sec accuracy=0.584063 top_k_accuracy_5=0.801562 | |
| Epoch[76] Batch [4700] Speed: 1239.11 samples/sec accuracy=0.588984 top_k_accuracy_5=0.804258 | |
| Epoch[76] Batch [4800] Speed: 1213.61 samples/sec accuracy=0.586992 top_k_accuracy_5=0.799961 | |
| Epoch[76] Batch [4900] Speed: 1227.37 samples/sec accuracy=0.589609 top_k_accuracy_5=0.802773 | |
| Epoch[76] Batch [5000] Speed: 1216.67 samples/sec accuracy=0.580586 top_k_accuracy_5=0.799023 | |
| Epoch[76] Train-accuracy=0.562500 | |
| Epoch[76] Train-top_k_accuracy_5=0.779297 | |
| Epoch[76] Time cost=1045.221 | |
| Saved checkpoint to "model/resnet18-0077.params" | |
| Epoch[76] Validation-accuracy=0.579959 | |
| Epoch[76] Validation-top_k_accuracy_5=0.799685 | |
| Epoch[77] Batch [100] Speed: 1224.86 samples/sec accuracy=0.584932 top_k_accuracy_5=0.798886 | |
| Epoch[77] Batch [200] Speed: 1213.32 samples/sec accuracy=0.584648 top_k_accuracy_5=0.802969 | |
| Epoch[77] Batch [300] Speed: 1223.82 samples/sec accuracy=0.583359 top_k_accuracy_5=0.801328 | |
| Epoch[77] Batch [400] Speed: 1225.26 samples/sec accuracy=0.584805 top_k_accuracy_5=0.798711 | |
| Epoch[77] Batch [500] Speed: 1238.75 samples/sec accuracy=0.586367 top_k_accuracy_5=0.800312 | |
| Epoch[77] Batch [600] Speed: 1237.55 samples/sec accuracy=0.585195 top_k_accuracy_5=0.798711 | |
| Epoch[77] Batch [700] Speed: 1225.32 samples/sec accuracy=0.582891 top_k_accuracy_5=0.798047 | |
| Epoch[77] Batch [800] Speed: 1224.54 samples/sec accuracy=0.578945 top_k_accuracy_5=0.797852 | |
| Epoch[77] Batch [900] Speed: 1221.78 samples/sec accuracy=0.579883 top_k_accuracy_5=0.801562 | |
| Epoch[77] Batch [1000] Speed: 1241.73 samples/sec accuracy=0.587461 top_k_accuracy_5=0.802070 | |
| Epoch[77] Batch [1100] Speed: 1231.38 samples/sec accuracy=0.590234 top_k_accuracy_5=0.803008 | |
| Epoch[77] Batch [1200] Speed: 1216.64 samples/sec accuracy=0.586094 top_k_accuracy_5=0.801719 | |
| Epoch[77] Batch [1300] Speed: 1214.40 samples/sec accuracy=0.588711 top_k_accuracy_5=0.797773 | |
| Epoch[77] Batch [1400] Speed: 1229.00 samples/sec accuracy=0.586875 top_k_accuracy_5=0.802539 | |
| Epoch[77] Batch [1500] Speed: 1233.39 samples/sec accuracy=0.585000 top_k_accuracy_5=0.798867 | |
| Epoch[77] Batch [1600] Speed: 1221.51 samples/sec accuracy=0.582461 top_k_accuracy_5=0.798125 | |
| Epoch[77] Batch [1700] Speed: 1233.40 samples/sec accuracy=0.587266 top_k_accuracy_5=0.803398 | |
| Epoch[77] Batch [1800] Speed: 1222.82 samples/sec accuracy=0.581562 top_k_accuracy_5=0.798555 | |
| Epoch[77] Batch [1900] Speed: 1229.62 samples/sec accuracy=0.580000 top_k_accuracy_5=0.797031 | |
| Epoch[77] Batch [2000] Speed: 1227.97 samples/sec accuracy=0.586602 top_k_accuracy_5=0.800078 | |
| Epoch[77] Batch [2100] Speed: 1231.40 samples/sec accuracy=0.581836 top_k_accuracy_5=0.802773 | |
| Epoch[77] Batch [2200] Speed: 1219.84 samples/sec accuracy=0.585156 top_k_accuracy_5=0.801055 | |
| Epoch[77] Batch [2300] Speed: 1237.45 samples/sec accuracy=0.580664 top_k_accuracy_5=0.801523 | |
| Epoch[77] Batch [2400] Speed: 1223.55 samples/sec accuracy=0.583516 top_k_accuracy_5=0.801250 | |
| Epoch[77] Batch [2500] Speed: 1232.58 samples/sec accuracy=0.583203 top_k_accuracy_5=0.800234 | |
| Epoch[77] Batch [2600] Speed: 1216.71 samples/sec accuracy=0.584648 top_k_accuracy_5=0.805273 | |
| Epoch[77] Batch [2700] Speed: 1222.55 samples/sec accuracy=0.583984 top_k_accuracy_5=0.801914 | |
| Epoch[77] Batch [2800] Speed: 1226.25 samples/sec accuracy=0.588945 top_k_accuracy_5=0.799883 | |
| Epoch[77] Batch [2900] Speed: 1222.95 samples/sec accuracy=0.585352 top_k_accuracy_5=0.798203 | |
| Epoch[77] Batch [3000] Speed: 1229.03 samples/sec accuracy=0.582422 top_k_accuracy_5=0.799297 | |
| Epoch[77] Batch [3100] Speed: 1216.94 samples/sec accuracy=0.583242 top_k_accuracy_5=0.800781 | |
| Epoch[77] Batch [3200] Speed: 1235.59 samples/sec accuracy=0.584297 top_k_accuracy_5=0.803086 | |
| Epoch[77] Batch [3300] Speed: 1232.23 samples/sec accuracy=0.588359 top_k_accuracy_5=0.804805 | |
| Epoch[77] Batch [3400] Speed: 1234.22 samples/sec accuracy=0.583672 top_k_accuracy_5=0.802422 | |
| Epoch[77] Batch [3500] Speed: 1234.26 samples/sec accuracy=0.585664 top_k_accuracy_5=0.802813 | |
| Epoch[77] Batch [3600] Speed: 1228.78 samples/sec accuracy=0.582187 top_k_accuracy_5=0.804531 | |
| Epoch[77] Batch [3700] Speed: 1227.01 samples/sec accuracy=0.583164 top_k_accuracy_5=0.801484 | |
| Epoch[77] Batch [3800] Speed: 1227.48 samples/sec accuracy=0.581719 top_k_accuracy_5=0.801172 | |
| Epoch[77] Batch [3900] Speed: 1227.14 samples/sec accuracy=0.585234 top_k_accuracy_5=0.799375 | |
| Epoch[77] Batch [4000] Speed: 1237.24 samples/sec accuracy=0.590664 top_k_accuracy_5=0.803984 | |
| Epoch[77] Batch [4100] Speed: 1238.66 samples/sec accuracy=0.582266 top_k_accuracy_5=0.800937 | |
| Epoch[77] Batch [4200] Speed: 1229.84 samples/sec accuracy=0.585625 top_k_accuracy_5=0.802266 | |
| Epoch[77] Batch [4300] Speed: 1240.95 samples/sec accuracy=0.584219 top_k_accuracy_5=0.798594 | |
| Epoch[77] Batch [4400] Speed: 1223.27 samples/sec accuracy=0.585156 top_k_accuracy_5=0.800937 | |
| Epoch[77] Batch [4500] Speed: 1235.51 samples/sec accuracy=0.591289 top_k_accuracy_5=0.806641 | |
| Epoch[77] Batch [4600] Speed: 1236.25 samples/sec accuracy=0.587109 top_k_accuracy_5=0.802109 | |
| Epoch[77] Batch [4700] Speed: 1226.06 samples/sec accuracy=0.589102 top_k_accuracy_5=0.801641 | |
| Epoch[77] Batch [4800] Speed: 1213.94 samples/sec accuracy=0.584336 top_k_accuracy_5=0.803242 | |
| Epoch[77] Batch [4900] Speed: 1230.97 samples/sec accuracy=0.592031 top_k_accuracy_5=0.805781 | |
| Epoch[77] Batch [5000] Speed: 1226.63 samples/sec accuracy=0.583633 top_k_accuracy_5=0.798750 | |
| Epoch[77] Train-accuracy=0.567708 | |
| Epoch[77] Train-top_k_accuracy_5=0.778646 | |
| Epoch[77] Time cost=1043.628 | |
| Saved checkpoint to "model/resnet18-0078.params" | |
| Epoch[77] Validation-accuracy=0.581150 | |
| Epoch[77] Validation-top_k_accuracy_5=0.801502 | |
| Epoch[78] Batch [100] Speed: 1228.22 samples/sec accuracy=0.586208 top_k_accuracy_5=0.800704 | |
| Epoch[78] Batch [200] Speed: 1224.43 samples/sec accuracy=0.586211 top_k_accuracy_5=0.801680 | |
| Epoch[78] Batch [300] Speed: 1216.72 samples/sec accuracy=0.586445 top_k_accuracy_5=0.803672 | |
| Epoch[78] Batch [400] Speed: 1226.54 samples/sec accuracy=0.581836 top_k_accuracy_5=0.798711 | |
| Epoch[78] Batch [500] Speed: 1230.73 samples/sec accuracy=0.588086 top_k_accuracy_5=0.804063 | |
| Epoch[78] Batch [600] Speed: 1222.32 samples/sec accuracy=0.583477 top_k_accuracy_5=0.799219 | |
| Epoch[78] Batch [700] Speed: 1241.04 samples/sec accuracy=0.583086 top_k_accuracy_5=0.799102 | |
| Epoch[78] Batch [800] Speed: 1233.95 samples/sec accuracy=0.582461 top_k_accuracy_5=0.798477 | |
| Epoch[78] Batch [900] Speed: 1218.26 samples/sec accuracy=0.580586 top_k_accuracy_5=0.798633 | |
| Epoch[78] Batch [1000] Speed: 1217.62 samples/sec accuracy=0.585117 top_k_accuracy_5=0.803398 | |
| Epoch[78] Batch [1100] Speed: 1229.75 samples/sec accuracy=0.585977 top_k_accuracy_5=0.801055 | |
| Epoch[78] Batch [1200] Speed: 1231.17 samples/sec accuracy=0.584766 top_k_accuracy_5=0.800195 | |
| Epoch[78] Batch [1300] Speed: 1243.25 samples/sec accuracy=0.586211 top_k_accuracy_5=0.799023 | |
| Epoch[78] Batch [1400] Speed: 1218.19 samples/sec accuracy=0.583164 top_k_accuracy_5=0.799336 | |
| Epoch[78] Batch [1500] Speed: 1225.75 samples/sec accuracy=0.584141 top_k_accuracy_5=0.797188 | |
| Epoch[78] Batch [1600] Speed: 1227.25 samples/sec accuracy=0.585352 top_k_accuracy_5=0.802383 | |
| Epoch[78] Batch [1700] Speed: 1219.52 samples/sec accuracy=0.581875 top_k_accuracy_5=0.800234 | |
| Epoch[78] Batch [1800] Speed: 1228.57 samples/sec accuracy=0.588203 top_k_accuracy_5=0.800078 | |
| Epoch[78] Batch [1900] Speed: 1223.64 samples/sec accuracy=0.585625 top_k_accuracy_5=0.800273 | |
| Epoch[78] Batch [2000] Speed: 1224.01 samples/sec accuracy=0.584141 top_k_accuracy_5=0.801367 | |
| Epoch[78] Batch [2100] Speed: 1227.79 samples/sec accuracy=0.581836 top_k_accuracy_5=0.795664 | |
| Epoch[78] Batch [2200] Speed: 1222.68 samples/sec accuracy=0.584336 top_k_accuracy_5=0.801523 | |
| Epoch[78] Batch [2300] Speed: 1237.36 samples/sec accuracy=0.589141 top_k_accuracy_5=0.803945 | |
| Epoch[78] Batch [2400] Speed: 1225.16 samples/sec accuracy=0.585781 top_k_accuracy_5=0.802305 | |
| Epoch[78] Batch [2500] Speed: 1232.46 samples/sec accuracy=0.582578 top_k_accuracy_5=0.802305 | |
| Epoch[78] Batch [2600] Speed: 1224.92 samples/sec accuracy=0.583711 top_k_accuracy_5=0.802148 | |
| Epoch[78] Batch [2700] Speed: 1224.16 samples/sec accuracy=0.588398 top_k_accuracy_5=0.799375 | |
| Epoch[78] Batch [2800] Speed: 1225.82 samples/sec accuracy=0.587266 top_k_accuracy_5=0.801328 | |
| Epoch[78] Batch [2900] Speed: 1225.52 samples/sec accuracy=0.588359 top_k_accuracy_5=0.802383 | |
| Epoch[78] Batch [3000] Speed: 1223.36 samples/sec accuracy=0.582539 top_k_accuracy_5=0.799727 | |
| Epoch[78] Batch [3100] Speed: 1236.01 samples/sec accuracy=0.587773 top_k_accuracy_5=0.803477 | |
| Epoch[78] Batch [3200] Speed: 1238.27 samples/sec accuracy=0.589609 top_k_accuracy_5=0.804688 | |
| Epoch[78] Batch [3300] Speed: 1235.48 samples/sec accuracy=0.584766 top_k_accuracy_5=0.800234 | |
| Epoch[78] Batch [3400] Speed: 1216.47 samples/sec accuracy=0.586914 top_k_accuracy_5=0.804414 | |
| Epoch[78] Batch [3500] Speed: 1224.18 samples/sec accuracy=0.589453 top_k_accuracy_5=0.804063 | |
| Epoch[78] Batch [3600] Speed: 1226.08 samples/sec accuracy=0.584609 top_k_accuracy_5=0.803711 | |
| Epoch[78] Batch [3700] Speed: 1237.02 samples/sec accuracy=0.585078 top_k_accuracy_5=0.800859 | |
| Epoch[78] Batch [3800] Speed: 1237.90 samples/sec accuracy=0.587031 top_k_accuracy_5=0.803125 | |
| Epoch[78] Batch [3900] Speed: 1232.16 samples/sec accuracy=0.584414 top_k_accuracy_5=0.800625 | |
| Epoch[78] Batch [4000] Speed: 1228.52 samples/sec accuracy=0.587773 top_k_accuracy_5=0.803086 | |
| Epoch[78] Batch [4100] Speed: 1220.38 samples/sec accuracy=0.584805 top_k_accuracy_5=0.802578 | |
| Epoch[78] Batch [4200] Speed: 1231.88 samples/sec accuracy=0.588945 top_k_accuracy_5=0.805312 | |
| Epoch[78] Batch [4300] Speed: 1230.61 samples/sec accuracy=0.580078 top_k_accuracy_5=0.799023 | |
| Epoch[78] Batch [4400] Speed: 1237.37 samples/sec accuracy=0.590273 top_k_accuracy_5=0.804883 | |
| Epoch[78] Batch [4500] Speed: 1233.12 samples/sec accuracy=0.585273 top_k_accuracy_5=0.803789 | |
| Epoch[78] Batch [4600] Speed: 1213.99 samples/sec accuracy=0.582031 top_k_accuracy_5=0.803633 | |
| Epoch[78] Batch [4700] Speed: 1229.35 samples/sec accuracy=0.587070 top_k_accuracy_5=0.801289 | |
| Epoch[78] Batch [4800] Speed: 1217.99 samples/sec accuracy=0.585156 top_k_accuracy_5=0.798906 | |
| Epoch[78] Batch [4900] Speed: 1230.62 samples/sec accuracy=0.590195 top_k_accuracy_5=0.803164 | |
| Epoch[78] Batch [5000] Speed: 1232.03 samples/sec accuracy=0.586406 top_k_accuracy_5=0.802852 | |
| Epoch[78] Train-accuracy=0.571289 | |
| Epoch[78] Train-top_k_accuracy_5=0.780273 | |
| Epoch[78] Time cost=1044.013 | |
| Saved checkpoint to "model/resnet18-0079.params" | |
| Epoch[78] Validation-accuracy=0.580469 | |
| Epoch[78] Validation-top_k_accuracy_5=0.801462 | |
| Epoch[79] Batch [100] Speed: 1235.88 samples/sec accuracy=0.592628 top_k_accuracy_5=0.804223 | |
| Epoch[79] Batch [200] Speed: 1224.27 samples/sec accuracy=0.585117 top_k_accuracy_5=0.800078 | |
| Epoch[79] Batch [300] Speed: 1215.15 samples/sec accuracy=0.586484 top_k_accuracy_5=0.800781 | |
| Epoch[79] Batch [400] Speed: 1222.06 samples/sec accuracy=0.585234 top_k_accuracy_5=0.798594 | |
| Epoch[79] Batch [500] Speed: 1225.84 samples/sec accuracy=0.586719 top_k_accuracy_5=0.801016 | |
| Epoch[79] Batch [600] Speed: 1223.01 samples/sec accuracy=0.582148 top_k_accuracy_5=0.801328 | |
| Epoch[79] Batch [700] Speed: 1231.36 samples/sec accuracy=0.582461 top_k_accuracy_5=0.799922 | |
| Epoch[79] Batch [800] Speed: 1223.55 samples/sec accuracy=0.578594 top_k_accuracy_5=0.796523 | |
| Epoch[79] Batch [900] Speed: 1227.81 samples/sec accuracy=0.583828 top_k_accuracy_5=0.800273 | |
| Epoch[79] Batch [1000] Speed: 1233.46 samples/sec accuracy=0.583398 top_k_accuracy_5=0.799180 | |
| Epoch[79] Batch [1100] Speed: 1231.55 samples/sec accuracy=0.590781 top_k_accuracy_5=0.806055 | |
| Epoch[79] Batch [1200] Speed: 1223.72 samples/sec accuracy=0.584961 top_k_accuracy_5=0.801797 | |
| Epoch[79] Batch [1300] Speed: 1232.26 samples/sec accuracy=0.579492 top_k_accuracy_5=0.795664 | |
| Epoch[79] Batch [1400] Speed: 1224.58 samples/sec accuracy=0.586602 top_k_accuracy_5=0.801758 | |
| Epoch[79] Batch [1500] Speed: 1226.95 samples/sec accuracy=0.582070 top_k_accuracy_5=0.797031 | |
| Epoch[79] Batch [1600] Speed: 1231.49 samples/sec accuracy=0.583789 top_k_accuracy_5=0.800352 | |
| Epoch[79] Batch [1700] Speed: 1221.45 samples/sec accuracy=0.585938 top_k_accuracy_5=0.799570 | |
| Epoch[79] Batch [1800] Speed: 1226.60 samples/sec accuracy=0.585742 top_k_accuracy_5=0.800391 | |
| Epoch[79] Batch [1900] Speed: 1231.24 samples/sec accuracy=0.585508 top_k_accuracy_5=0.804063 | |
| Epoch[79] Batch [2000] Speed: 1221.48 samples/sec accuracy=0.589180 top_k_accuracy_5=0.800078 | |
| Epoch[79] Batch [2100] Speed: 1231.36 samples/sec accuracy=0.585469 top_k_accuracy_5=0.801094 | |
| Epoch[79] Batch [2200] Speed: 1220.41 samples/sec accuracy=0.586875 top_k_accuracy_5=0.799375 | |
| Epoch[79] Batch [2300] Speed: 1234.49 samples/sec accuracy=0.583867 top_k_accuracy_5=0.800508 | |
| Epoch[79] Batch [2400] Speed: 1224.80 samples/sec accuracy=0.585078 top_k_accuracy_5=0.803242 | |
| Epoch[79] Batch [2500] Speed: 1219.73 samples/sec accuracy=0.588164 top_k_accuracy_5=0.804570 | |
| Epoch[79] Batch [2600] Speed: 1215.68 samples/sec accuracy=0.581562 top_k_accuracy_5=0.802461 | |
| Epoch[79] Batch [2700] Speed: 1225.96 samples/sec accuracy=0.588906 top_k_accuracy_5=0.800156 | |
| Epoch[79] Batch [2800] Speed: 1227.06 samples/sec accuracy=0.584922 top_k_accuracy_5=0.803086 | |
| Epoch[79] Batch [2900] Speed: 1229.68 samples/sec accuracy=0.590859 top_k_accuracy_5=0.801758 | |
| Epoch[79] Batch [3000] Speed: 1229.74 samples/sec accuracy=0.582070 top_k_accuracy_5=0.797539 | |
| Epoch[79] Batch [3100] Speed: 1219.69 samples/sec accuracy=0.581719 top_k_accuracy_5=0.800781 | |
| Epoch[79] Batch [3200] Speed: 1227.73 samples/sec accuracy=0.590859 top_k_accuracy_5=0.805430 | |
| Epoch[79] Batch [3300] Speed: 1230.19 samples/sec accuracy=0.584727 top_k_accuracy_5=0.802344 | |
| Epoch[79] Batch [3400] Speed: 1231.24 samples/sec accuracy=0.586484 top_k_accuracy_5=0.802930 | |
| Epoch[79] Batch [3500] Speed: 1238.28 samples/sec accuracy=0.588125 top_k_accuracy_5=0.805859 | |
| Epoch[79] Batch [3600] Speed: 1222.25 samples/sec accuracy=0.585234 top_k_accuracy_5=0.800703 | |
| Epoch[79] Batch [3700] Speed: 1232.03 samples/sec accuracy=0.588398 top_k_accuracy_5=0.802695 | |
| Epoch[79] Batch [3800] Speed: 1226.55 samples/sec accuracy=0.587617 top_k_accuracy_5=0.805195 | |
| Epoch[79] Batch [3900] Speed: 1235.65 samples/sec accuracy=0.587266 top_k_accuracy_5=0.802617 | |
| Epoch[79] Batch [4000] Speed: 1227.87 samples/sec accuracy=0.592187 top_k_accuracy_5=0.807852 | |
| Epoch[79] Batch [4100] Speed: 1237.66 samples/sec accuracy=0.586172 top_k_accuracy_5=0.804336 | |
| Epoch[79] Batch [4200] Speed: 1221.83 samples/sec accuracy=0.589219 top_k_accuracy_5=0.806172 | |
| Epoch[79] Batch [4300] Speed: 1225.78 samples/sec accuracy=0.588437 top_k_accuracy_5=0.800820 | |
| Epoch[79] Batch [4400] Speed: 1232.28 samples/sec accuracy=0.592617 top_k_accuracy_5=0.808281 | |
| Epoch[79] Batch [4500] Speed: 1239.30 samples/sec accuracy=0.586914 top_k_accuracy_5=0.805703 | |
| Epoch[79] Batch [4600] Speed: 1233.74 samples/sec accuracy=0.586758 top_k_accuracy_5=0.802109 | |
| Epoch[79] Batch [4700] Speed: 1238.71 samples/sec accuracy=0.589180 top_k_accuracy_5=0.805000 | |
| Epoch[79] Batch [4800] Speed: 1234.78 samples/sec accuracy=0.587070 top_k_accuracy_5=0.803945 | |
| Epoch[79] Batch [4900] Speed: 1228.06 samples/sec accuracy=0.590859 top_k_accuracy_5=0.802148 | |
| Epoch[79] Batch [5000] Speed: 1239.46 samples/sec accuracy=0.584297 top_k_accuracy_5=0.797148 | |
| Epoch[79] Train-accuracy=0.520833 | |
| Epoch[79] Train-top_k_accuracy_5=0.773438 | |
| Epoch[79] Time cost=1043.302 | |
| Saved checkpoint to "model/resnet18-0080.params" | |
| Epoch[79] Validation-accuracy=0.580449 | |
| Epoch[79] Validation-top_k_accuracy_5=0.800100 |
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| python train_imagenet.py --data-train ~/data/train.rec --data-val ~/data/val.rec --gpus 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15 --data-nthreads 32 --num-layers 18 --batch-size 256 --top-k 5 --model-prefix model/resnet18 | |
| start with arguments Namespace(batch_size=256, benchmark=0, data_nthreads=32, data_train='/home/ubuntu/data/train.rec', data_val='/home/ubuntu/data/val.rec', disp_batches=20, dtype='float32', gpus='0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15', image_shape='3,224,224', kv_store='device', load_epoch=None, lr=0.1, lr_factor=0.1, lr_step_epochs='30,60', max_random_aspect_ratio=0.25, max_random_h=36, max_random_l=50, max_random_rotate_angle=10, max_random_s=50, max_random_scale=1, max_random_shear_ratio=0.1, min_random_scale=1, model_prefix='model/resnet18', mom=0.9, monitor=0, network='resnet', num_classes=1000, num_epochs=80, num_examples=1281167, num_layers=18, optimizer='sgd', pad_size=0, random_crop=1, random_mirror=1, rgb_mean='123.68,116.779,103.939', test_io=0, top_k=5, wd=0.0001) | |
| Epoch[0] Batch [20] Speed: 855.33 samples/sec accuracy=0.001302 top_k_accuracy_5=0.008743 | |
| Epoch[0] Batch [40] Speed: 931.11 samples/sec accuracy=0.001563 top_k_accuracy_5=0.006641 | |
| Epoch[0] Batch [60] Speed: 923.80 samples/sec accuracy=0.002734 top_k_accuracy_5=0.009375 | |
| Epoch[0] Batch [80] Speed: 937.89 samples/sec accuracy=0.002344 top_k_accuracy_5=0.010352 | |
| Epoch[0] Batch [100] Speed: 941.63 samples/sec accuracy=0.003320 top_k_accuracy_5=0.012695 | |
| Epoch[0] Batch [120] Speed: 944.61 samples/sec accuracy=0.003906 top_k_accuracy_5=0.014453 | |
| Epoch[0] Batch [140] Speed: 942.82 samples/sec accuracy=0.002344 top_k_accuracy_5=0.011719 | |
| Epoch[0] Batch [160] Speed: 949.50 samples/sec accuracy=0.002539 top_k_accuracy_5=0.016992 | |
| Epoch[0] Batch [180] Speed: 923.41 samples/sec accuracy=0.003516 top_k_accuracy_5=0.015430 | |
| Epoch[0] Batch [200] Speed: 953.24 samples/sec accuracy=0.004102 top_k_accuracy_5=0.018555 | |
| Epoch[0] Batch [220] Speed: 960.31 samples/sec accuracy=0.004297 top_k_accuracy_5=0.016992 | |
| Epoch[0] Batch [240] Speed: 927.01 samples/sec accuracy=0.003906 top_k_accuracy_5=0.019141 | |
| Epoch[0] Batch [260] Speed: 932.74 samples/sec accuracy=0.003516 top_k_accuracy_5=0.019922 | |
| Epoch[0] Batch [280] Speed: 937.21 samples/sec accuracy=0.005273 top_k_accuracy_5=0.020703 | |
| Epoch[0] Batch [300] Speed: 946.11 samples/sec accuracy=0.006836 top_k_accuracy_5=0.025195 | |
| Epoch[0] Batch [320] Speed: 937.32 samples/sec accuracy=0.004883 top_k_accuracy_5=0.024023 | |
| Epoch[0] Batch [340] Speed: 936.18 samples/sec accuracy=0.005078 top_k_accuracy_5=0.023828 | |
| Epoch[0] Batch [360] Speed: 940.46 samples/sec accuracy=0.005469 top_k_accuracy_5=0.026562 | |
| Epoch[0] Batch [380] Speed: 942.34 samples/sec accuracy=0.007812 top_k_accuracy_5=0.029883 | |
| Epoch[0] Batch [400] Speed: 917.43 samples/sec accuracy=0.006641 top_k_accuracy_5=0.026562 | |
| Epoch[0] Batch [420] Speed: 923.77 samples/sec accuracy=0.004297 top_k_accuracy_5=0.027539 | |
| Epoch[0] Batch [440] Speed: 948.04 samples/sec accuracy=0.006641 top_k_accuracy_5=0.031836 | |
| Epoch[0] Batch [460] Speed: 926.78 samples/sec accuracy=0.008398 top_k_accuracy_5=0.035352 | |
| Epoch[0] Batch [480] Speed: 928.48 samples/sec accuracy=0.006641 top_k_accuracy_5=0.030273 | |
| Epoch[0] Batch [500] Speed: 929.07 samples/sec accuracy=0.009180 top_k_accuracy_5=0.033398 | |
| Epoch[0] Batch [520] Speed: 946.20 samples/sec accuracy=0.008984 top_k_accuracy_5=0.035937 | |
| Epoch[0] Batch [540] Speed: 910.55 samples/sec accuracy=0.008984 top_k_accuracy_5=0.034961 | |
| Epoch[0] Batch [560] Speed: 928.19 samples/sec accuracy=0.010156 top_k_accuracy_5=0.033594 | |
| Epoch[0] Batch [580] Speed: 938.83 samples/sec accuracy=0.009375 top_k_accuracy_5=0.035937 | |
| Epoch[0] Batch [600] Speed: 924.24 samples/sec accuracy=0.009961 top_k_accuracy_5=0.037500 | |
| Epoch[0] Batch [620] Speed: 924.01 samples/sec accuracy=0.008203 top_k_accuracy_5=0.032617 | |
| Epoch[0] Batch [640] Speed: 906.15 samples/sec accuracy=0.009961 top_k_accuracy_5=0.035937 | |
| Epoch[0] Batch [660] Speed: 928.19 samples/sec accuracy=0.013086 top_k_accuracy_5=0.046094 | |
| Epoch[0] Batch [680] Speed: 903.55 samples/sec accuracy=0.010156 top_k_accuracy_5=0.042383 | |
| Epoch[0] Batch [700] Speed: 923.12 samples/sec accuracy=0.009180 top_k_accuracy_5=0.038672 | |
| Epoch[0] Batch [720] Speed: 896.53 samples/sec accuracy=0.008008 top_k_accuracy_5=0.041406 | |
| Epoch[0] Batch [740] Speed: 926.07 samples/sec accuracy=0.011523 top_k_accuracy_5=0.045312 | |
| Epoch[0] Batch [760] Speed: 919.02 samples/sec accuracy=0.011328 top_k_accuracy_5=0.044531 | |
| Epoch[0] Batch [780] Speed: 908.99 samples/sec accuracy=0.009180 top_k_accuracy_5=0.042188 | |
| Epoch[0] Batch [800] Speed: 894.76 samples/sec accuracy=0.014063 top_k_accuracy_5=0.053516 | |
| Epoch[0] Batch [820] Speed: 868.80 samples/sec accuracy=0.012695 top_k_accuracy_5=0.050391 | |
| Epoch[0] Batch [840] Speed: 903.01 samples/sec accuracy=0.012109 top_k_accuracy_5=0.052930 | |
| Epoch[0] Batch [860] Speed: 911.73 samples/sec accuracy=0.013477 top_k_accuracy_5=0.050781 | |
| Epoch[0] Batch [880] Speed: 899.49 samples/sec accuracy=0.015234 top_k_accuracy_5=0.051367 | |
| Epoch[0] Batch [900] Speed: 895.12 samples/sec accuracy=0.012695 top_k_accuracy_5=0.056641 | |
| Epoch[0] Batch [920] Speed: 902.13 samples/sec accuracy=0.013672 top_k_accuracy_5=0.054883 | |
| Epoch[0] Batch [940] Speed: 917.94 samples/sec accuracy=0.014648 top_k_accuracy_5=0.057422 | |
| Epoch[0] Batch [960] Speed: 899.03 samples/sec accuracy=0.016992 top_k_accuracy_5=0.061133 | |
| Epoch[0] Batch [980] Speed: 906.51 samples/sec accuracy=0.015625 top_k_accuracy_5=0.062305 | |
| Epoch[0] Batch [1000] Speed: 883.67 samples/sec accuracy=0.018359 top_k_accuracy_5=0.063867 | |
| Epoch[0] Batch [1020] Speed: 906.45 samples/sec accuracy=0.014648 top_k_accuracy_5=0.061523 | |
| Epoch[0] Batch [1040] Speed: 905.92 samples/sec accuracy=0.019531 top_k_accuracy_5=0.066016 | |
| Epoch[0] Batch [1060] Speed: 915.82 samples/sec accuracy=0.018359 top_k_accuracy_5=0.063867 | |
| Epoch[0] Batch [1080] Speed: 916.44 samples/sec accuracy=0.021289 top_k_accuracy_5=0.071484 | |
| Epoch[0] Batch [1100] Speed: 895.00 samples/sec accuracy=0.016016 top_k_accuracy_5=0.062500 | |
| Epoch[0] Batch [1120] Speed: 910.26 samples/sec accuracy=0.016992 top_k_accuracy_5=0.066797 | |
| Epoch[0] Batch [1140] Speed: 887.21 samples/sec accuracy=0.020117 top_k_accuracy_5=0.061914 | |
| Epoch[0] Batch [1160] Speed: 932.08 samples/sec accuracy=0.016406 top_k_accuracy_5=0.066602 | |
| Epoch[0] Batch [1180] Speed: 904.75 samples/sec accuracy=0.017969 top_k_accuracy_5=0.069922 | |
| Epoch[0] Batch [1200] Speed: 914.60 samples/sec accuracy=0.021094 top_k_accuracy_5=0.076367 | |
| Epoch[0] Batch [1220] Speed: 892.69 samples/sec accuracy=0.021484 top_k_accuracy_5=0.077344 | |
| Epoch[0] Batch [1240] Speed: 900.98 samples/sec accuracy=0.022852 top_k_accuracy_5=0.072266 | |
| Epoch[0] Batch [1260] Speed: 890.29 samples/sec accuracy=0.021094 top_k_accuracy_5=0.075586 | |
| Epoch[0] Batch [1280] Speed: 898.85 samples/sec accuracy=0.019727 top_k_accuracy_5=0.066992 | |
| Epoch[0] Batch [1300] Speed: 898.54 samples/sec accuracy=0.019336 top_k_accuracy_5=0.073438 | |
| Epoch[0] Batch [1320] Speed: 895.35 samples/sec accuracy=0.020117 top_k_accuracy_5=0.070508 | |
| Epoch[0] Batch [1340] Speed: 895.35 samples/sec accuracy=0.024219 top_k_accuracy_5=0.083984 | |
| Epoch[0] Batch [1360] Speed: 883.60 samples/sec accuracy=0.027148 top_k_accuracy_5=0.089063 | |
| Epoch[0] Batch [1380] Speed: 909.08 samples/sec accuracy=0.019922 top_k_accuracy_5=0.082812 | |
| Epoch[0] Batch [1400] Speed: 894.68 samples/sec accuracy=0.023828 top_k_accuracy_5=0.079102 | |
| Epoch[0] Batch [1420] Speed: 904.07 samples/sec accuracy=0.022070 top_k_accuracy_5=0.075195 | |
| Epoch[0] Batch [1440] Speed: 883.02 samples/sec accuracy=0.022266 top_k_accuracy_5=0.077539 | |
| Epoch[0] Batch [1460] Speed: 890.33 samples/sec accuracy=0.023438 top_k_accuracy_5=0.078320 | |
| Epoch[0] Batch [1480] Speed: 888.71 samples/sec accuracy=0.022461 top_k_accuracy_5=0.079492 | |
| Epoch[0] Batch [1500] Speed: 882.05 samples/sec accuracy=0.024023 top_k_accuracy_5=0.085742 | |
| Epoch[0] Batch [1520] Speed: 884.64 samples/sec accuracy=0.025391 top_k_accuracy_5=0.082422 | |
| Epoch[0] Batch [1540] Speed: 898.01 samples/sec accuracy=0.026367 top_k_accuracy_5=0.089453 | |
| Epoch[0] Batch [1560] Speed: 900.97 samples/sec accuracy=0.022461 top_k_accuracy_5=0.087891 | |
| Epoch[0] Batch [1580] Speed: 861.23 samples/sec accuracy=0.026758 top_k_accuracy_5=0.091211 | |
| Epoch[0] Batch [1600] Speed: 871.64 samples/sec accuracy=0.028711 top_k_accuracy_5=0.095898 | |
| Epoch[0] Batch [1620] Speed: 870.91 samples/sec accuracy=0.026562 top_k_accuracy_5=0.093164 | |
| Epoch[0] Batch [1640] Speed: 904.39 samples/sec accuracy=0.032227 top_k_accuracy_5=0.096875 | |
| Epoch[0] Batch [1660] Speed: 864.23 samples/sec accuracy=0.027344 top_k_accuracy_5=0.087109 | |
| Epoch[0] Batch [1680] Speed: 881.43 samples/sec accuracy=0.027148 top_k_accuracy_5=0.096680 | |
| Epoch[0] Batch [1700] Speed: 874.11 samples/sec accuracy=0.030273 top_k_accuracy_5=0.095703 | |
| Epoch[0] Batch [1720] Speed: 863.24 samples/sec accuracy=0.027148 top_k_accuracy_5=0.097266 | |
| Epoch[0] Batch [1740] Speed: 883.66 samples/sec accuracy=0.030664 top_k_accuracy_5=0.100586 | |
| Epoch[0] Batch [1760] Speed: 858.15 samples/sec accuracy=0.024023 top_k_accuracy_5=0.090820 | |
| Epoch[0] Batch [1780] Speed: 890.61 samples/sec accuracy=0.030273 top_k_accuracy_5=0.102148 | |
| Epoch[0] Batch [1800] Speed: 864.03 samples/sec accuracy=0.028320 top_k_accuracy_5=0.103125 | |
| Epoch[0] Batch [1820] Speed: 882.25 samples/sec accuracy=0.031641 top_k_accuracy_5=0.101562 | |
| Epoch[0] Batch [1840] Speed: 874.81 samples/sec accuracy=0.033203 top_k_accuracy_5=0.101172 | |
| Epoch[0] Batch [1860] Speed: 893.39 samples/sec accuracy=0.034570 top_k_accuracy_5=0.105273 | |
| Epoch[0] Batch [1880] Speed: 867.35 samples/sec accuracy=0.028906 top_k_accuracy_5=0.098633 | |
| Epoch[0] Batch [1900] Speed: 881.85 samples/sec accuracy=0.037891 top_k_accuracy_5=0.113672 | |
| Epoch[0] Batch [1920] Speed: 874.46 samples/sec accuracy=0.031445 top_k_accuracy_5=0.103125 | |
| Epoch[0] Batch [1940] Speed: 867.11 samples/sec accuracy=0.030469 top_k_accuracy_5=0.108398 | |
| Epoch[0] Batch [1960] Speed: 882.49 samples/sec accuracy=0.033594 top_k_accuracy_5=0.108203 | |
| Epoch[0] Batch [1980] Speed: 864.61 samples/sec accuracy=0.030859 top_k_accuracy_5=0.107813 | |
| Epoch[0] Batch [2000] Speed: 868.95 samples/sec accuracy=0.037695 top_k_accuracy_5=0.104492 | |
| Epoch[0] Batch [2020] Speed: 870.15 samples/sec accuracy=0.037109 top_k_accuracy_5=0.109961 | |
| Epoch[0] Batch [2040] Speed: 868.05 samples/sec accuracy=0.037500 top_k_accuracy_5=0.112695 | |
| Epoch[0] Batch [2060] Speed: 852.44 samples/sec accuracy=0.035742 top_k_accuracy_5=0.115430 | |
| Epoch[0] Batch [2080] Speed: 877.85 samples/sec accuracy=0.035742 top_k_accuracy_5=0.116992 | |
| Epoch[0] Batch [2100] Speed: 883.10 samples/sec accuracy=0.039844 top_k_accuracy_5=0.118164 | |
| Epoch[0] Batch [2120] Speed: 875.68 samples/sec accuracy=0.039258 top_k_accuracy_5=0.120117 | |
| Epoch[0] Batch [2140] Speed: 867.07 samples/sec accuracy=0.037305 top_k_accuracy_5=0.116016 | |
| Epoch[0] Batch [2160] Speed: 883.09 samples/sec accuracy=0.039062 top_k_accuracy_5=0.120508 | |
| Epoch[0] Batch [2180] Speed: 856.17 samples/sec accuracy=0.041211 top_k_accuracy_5=0.118555 | |
| Epoch[0] Batch [2200] Speed: 871.46 samples/sec accuracy=0.036719 top_k_accuracy_5=0.116016 | |
| Epoch[0] Batch [2220] Speed: 863.84 samples/sec accuracy=0.038867 top_k_accuracy_5=0.119141 | |
| Epoch[0] Batch [2240] Speed: 837.08 samples/sec accuracy=0.038086 top_k_accuracy_5=0.119336 | |
| Epoch[0] Batch [2260] Speed: 857.02 samples/sec accuracy=0.038867 top_k_accuracy_5=0.128125 | |
| Epoch[0] Batch [2280] Speed: 877.35 samples/sec accuracy=0.042188 top_k_accuracy_5=0.124609 | |
| Epoch[0] Batch [2300] Speed: 885.09 samples/sec accuracy=0.040625 top_k_accuracy_5=0.124609 | |
| Epoch[0] Batch [2320] Speed: 869.38 samples/sec accuracy=0.042188 top_k_accuracy_5=0.121289 | |
| Epoch[0] Batch [2340] Speed: 851.88 samples/sec accuracy=0.038281 top_k_accuracy_5=0.123438 | |
| Epoch[0] Batch [2360] Speed: 861.08 samples/sec accuracy=0.044531 top_k_accuracy_5=0.130078 | |
| Epoch[0] Batch [2380] Speed: 881.16 samples/sec accuracy=0.044531 top_k_accuracy_5=0.130664 | |
| Epoch[0] Batch [2400] Speed: 865.64 samples/sec accuracy=0.042773 top_k_accuracy_5=0.119727 | |
| Epoch[0] Batch [2420] Speed: 854.89 samples/sec accuracy=0.045508 top_k_accuracy_5=0.131055 | |
| Epoch[0] Batch [2440] Speed: 850.94 samples/sec accuracy=0.044141 top_k_accuracy_5=0.134570 | |
| Epoch[0] Batch [2460] Speed: 849.85 samples/sec accuracy=0.046875 top_k_accuracy_5=0.140430 | |
| Epoch[0] Batch [2480] Speed: 868.30 samples/sec accuracy=0.045312 top_k_accuracy_5=0.135352 | |
| Epoch[0] Batch [2500] Speed: 882.47 samples/sec accuracy=0.045117 top_k_accuracy_5=0.135547 | |
| Epoch[0] Batch [2520] Speed: 861.76 samples/sec accuracy=0.049609 top_k_accuracy_5=0.142187 | |
| Epoch[0] Batch [2540] Speed: 866.15 samples/sec accuracy=0.046680 top_k_accuracy_5=0.139453 | |
| Epoch[0] Batch [2560] Speed: 895.60 samples/sec accuracy=0.044141 top_k_accuracy_5=0.133203 | |
| Epoch[0] Batch [2580] Speed: 879.74 samples/sec accuracy=0.046680 top_k_accuracy_5=0.136328 | |
| Epoch[0] Batch [2600] Speed: 862.40 samples/sec accuracy=0.045508 top_k_accuracy_5=0.134570 | |
| Epoch[0] Batch [2620] Speed: 854.34 samples/sec accuracy=0.048438 top_k_accuracy_5=0.141602 | |
| Epoch[0] Batch [2640] Speed: 872.38 samples/sec accuracy=0.048633 top_k_accuracy_5=0.139844 | |
| Epoch[0] Batch [2660] Speed: 843.26 samples/sec accuracy=0.048242 top_k_accuracy_5=0.147656 | |
| Epoch[0] Batch [2680] Speed: 856.10 samples/sec accuracy=0.046484 top_k_accuracy_5=0.139844 | |
| Epoch[0] Batch [2700] Speed: 870.75 samples/sec accuracy=0.047266 top_k_accuracy_5=0.141992 | |
| Epoch[0] Batch [2720] Speed: 877.80 samples/sec accuracy=0.052344 top_k_accuracy_5=0.156250 | |
| Epoch[0] Batch [2740] Speed: 851.64 samples/sec accuracy=0.047266 top_k_accuracy_5=0.142187 | |
| Epoch[0] Batch [2760] Speed: 888.14 samples/sec accuracy=0.051367 top_k_accuracy_5=0.153125 | |
| Epoch[0] Batch [2780] Speed: 858.36 samples/sec accuracy=0.048438 top_k_accuracy_5=0.140625 | |
| Epoch[0] Batch [2800] Speed: 868.19 samples/sec accuracy=0.046680 top_k_accuracy_5=0.140234 | |
| Epoch[0] Batch [2820] Speed: 865.27 samples/sec accuracy=0.050391 top_k_accuracy_5=0.141992 | |
| Epoch[0] Batch [2840] Speed: 867.14 samples/sec accuracy=0.051367 top_k_accuracy_5=0.148828 | |
| Epoch[0] Batch [2860] Speed: 855.18 samples/sec accuracy=0.052734 top_k_accuracy_5=0.160352 | |
| Epoch[0] Batch [2880] Speed: 865.55 samples/sec accuracy=0.052344 top_k_accuracy_5=0.155273 | |
| Epoch[0] Batch [2900] Speed: 859.22 samples/sec accuracy=0.053906 top_k_accuracy_5=0.142969 | |
| Epoch[0] Batch [2920] Speed: 869.50 samples/sec accuracy=0.051367 top_k_accuracy_5=0.150000 | |
| Epoch[0] Batch [2940] Speed: 856.67 samples/sec accuracy=0.052539 top_k_accuracy_5=0.155859 | |
| Epoch[0] Batch [2960] Speed: 862.09 samples/sec accuracy=0.054688 top_k_accuracy_5=0.150391 | |
| Epoch[0] Batch [2980] Speed: 860.21 samples/sec accuracy=0.051562 top_k_accuracy_5=0.155078 | |
| Epoch[0] Batch [3000] Speed: 882.15 samples/sec accuracy=0.050781 top_k_accuracy_5=0.149023 | |
| Epoch[0] Batch [3020] Speed: 864.34 samples/sec accuracy=0.052148 top_k_accuracy_5=0.157812 | |
| Epoch[0] Batch [3040] Speed: 860.07 samples/sec accuracy=0.060352 top_k_accuracy_5=0.163672 | |
| Epoch[0] Batch [3060] Speed: 867.23 samples/sec accuracy=0.061328 top_k_accuracy_5=0.163281 | |
| Epoch[0] Batch [3080] Speed: 861.82 samples/sec accuracy=0.056250 top_k_accuracy_5=0.160938 | |
| Epoch[0] Batch [3100] Speed: 871.57 samples/sec accuracy=0.053320 top_k_accuracy_5=0.156836 | |
| Epoch[0] Batch [3120] Speed: 841.33 samples/sec accuracy=0.058984 top_k_accuracy_5=0.161719 | |
| Epoch[0] Batch [3140] Speed: 875.84 samples/sec accuracy=0.053906 top_k_accuracy_5=0.163281 | |
| Epoch[0] Batch [3160] Speed: 849.83 samples/sec accuracy=0.058203 top_k_accuracy_5=0.163086 | |
| Epoch[0] Batch [3180] Speed: 874.68 samples/sec accuracy=0.057617 top_k_accuracy_5=0.171094 | |
| Epoch[0] Batch [3200] Speed: 853.13 samples/sec accuracy=0.060742 top_k_accuracy_5=0.167969 | |
| Epoch[0] Batch [3220] Speed: 863.72 samples/sec accuracy=0.060156 top_k_accuracy_5=0.164258 | |
| Epoch[0] Batch [3240] Speed: 880.41 samples/sec accuracy=0.063281 top_k_accuracy_5=0.167773 | |
| Epoch[0] Batch [3260] Speed: 860.81 samples/sec accuracy=0.059766 top_k_accuracy_5=0.169531 | |
| Epoch[0] Batch [3280] Speed: 868.29 samples/sec accuracy=0.062109 top_k_accuracy_5=0.170898 | |
| Epoch[0] Batch [3300] Speed: 874.64 samples/sec accuracy=0.060156 top_k_accuracy_5=0.175781 | |
| Epoch[0] Batch [3320] Speed: 860.51 samples/sec accuracy=0.066992 top_k_accuracy_5=0.176563 | |
| Epoch[0] Batch [3340] Speed: 877.70 samples/sec accuracy=0.063477 top_k_accuracy_5=0.170313 | |
| Epoch[0] Batch [3360] Speed: 854.84 samples/sec accuracy=0.060937 top_k_accuracy_5=0.167187 | |
| Epoch[0] Batch [3380] Speed: 873.61 samples/sec accuracy=0.061328 top_k_accuracy_5=0.173633 | |
| Epoch[0] Batch [3400] Speed: 850.68 samples/sec accuracy=0.060156 top_k_accuracy_5=0.172266 | |
| Epoch[0] Batch [3420] Speed: 881.04 samples/sec accuracy=0.067578 top_k_accuracy_5=0.179492 | |
| Epoch[0] Batch [3440] Speed: 885.75 samples/sec accuracy=0.059961 top_k_accuracy_5=0.177734 | |
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| Epoch[0] Batch [4920] Speed: 857.04 samples/sec accuracy=0.090625 top_k_accuracy_5=0.229297 | |
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| Epoch[0] Batch [4980] Speed: 857.04 samples/sec accuracy=0.087891 top_k_accuracy_5=0.222070 | |
| Epoch[0] Batch [5000] Speed: 857.66 samples/sec accuracy=0.090625 top_k_accuracy_5=0.230664 | |
| Epoch[0] Train-accuracy=0.091797 | |
| Epoch[0] Train-top_k_accuracy_5=0.240234 | |
| Epoch[0] Time cost=1464.921 | |
| Saved checkpoint to "model/resnet18-0001.params" | |
| Epoch[0] Validation-accuracy=0.112185 | |
| Epoch[0] Validation-top_k_accuracy_5=0.284638 | |
| Epoch[1] Batch [20] Speed: 829.16 samples/sec accuracy=0.089286 top_k_accuracy_5=0.232515 | |
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| Epoch[1] Batch [1300] Speed: 853.55 samples/sec accuracy=0.101562 top_k_accuracy_5=0.259766 | |
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| Epoch[1] Batch [1400] Speed: 882.35 samples/sec accuracy=0.109766 top_k_accuracy_5=0.265625 | |
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| Epoch[1] Batch [1980] Speed: 859.96 samples/sec accuracy=0.121094 top_k_accuracy_5=0.290820 | |
| Epoch[1] Batch [2000] Speed: 864.84 samples/sec accuracy=0.112305 top_k_accuracy_5=0.271875 | |
| Epoch[1] Batch [2020] Speed: 866.06 samples/sec accuracy=0.115039 top_k_accuracy_5=0.277344 | |
| Epoch[1] Batch [2040] Speed: 870.69 samples/sec accuracy=0.120898 top_k_accuracy_5=0.288867 | |
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| Epoch[1] Batch [2640] Speed: 896.64 samples/sec accuracy=0.127734 top_k_accuracy_5=0.299219 | |
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| Epoch[1] Batch [2880] Speed: 882.15 samples/sec accuracy=0.127539 top_k_accuracy_5=0.308789 | |
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| Epoch[1] Batch [3000] Speed: 889.32 samples/sec accuracy=0.124609 top_k_accuracy_5=0.310352 | |
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| Epoch[1] Batch [3100] Speed: 868.75 samples/sec accuracy=0.125586 top_k_accuracy_5=0.299414 | |
| Epoch[1] Batch [3120] Speed: 884.28 samples/sec accuracy=0.135742 top_k_accuracy_5=0.317969 | |
| Epoch[1] Batch [3140] Speed: 875.21 samples/sec accuracy=0.134961 top_k_accuracy_5=0.305859 | |
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| Epoch[1] Batch [3280] Speed: 884.56 samples/sec accuracy=0.134961 top_k_accuracy_5=0.302930 | |
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| Epoch[1] Batch [3340] Speed: 876.06 samples/sec accuracy=0.133789 top_k_accuracy_5=0.311914 | |
| Epoch[1] Batch [3360] Speed: 885.58 samples/sec accuracy=0.127930 top_k_accuracy_5=0.301367 | |
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| Epoch[1] Batch [3420] Speed: 870.94 samples/sec accuracy=0.132227 top_k_accuracy_5=0.323242 | |
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| Epoch[1] Batch [3600] Speed: 884.19 samples/sec accuracy=0.134766 top_k_accuracy_5=0.322656 | |
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| Epoch[1] Batch [3660] Speed: 881.61 samples/sec accuracy=0.134961 top_k_accuracy_5=0.306836 | |
| Epoch[1] Batch [3680] Speed: 867.62 samples/sec accuracy=0.136914 top_k_accuracy_5=0.317773 | |
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| Epoch[1] Batch [3840] Speed: 883.34 samples/sec accuracy=0.129883 top_k_accuracy_5=0.303320 | |
| Epoch[1] Batch [3860] Speed: 871.07 samples/sec accuracy=0.136523 top_k_accuracy_5=0.316211 | |
| Epoch[1] Batch [3880] Speed: 881.05 samples/sec accuracy=0.139063 top_k_accuracy_5=0.313477 | |
| Epoch[1] Batch [3900] Speed: 882.49 samples/sec accuracy=0.133008 top_k_accuracy_5=0.304102 | |
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| Epoch[1] Batch [3980] Speed: 858.24 samples/sec accuracy=0.141406 top_k_accuracy_5=0.324805 | |
| Epoch[1] Batch [4000] Speed: 865.15 samples/sec accuracy=0.143555 top_k_accuracy_5=0.308984 | |
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| Epoch[1] Batch [4300] Speed: 862.51 samples/sec accuracy=0.140039 top_k_accuracy_5=0.316992 | |
| Epoch[1] Batch [4320] Speed: 867.30 samples/sec accuracy=0.134180 top_k_accuracy_5=0.318555 | |
| Epoch[1] Batch [4340] Speed: 874.79 samples/sec accuracy=0.144141 top_k_accuracy_5=0.324219 | |
| Epoch[1] Batch [4360] Speed: 876.75 samples/sec accuracy=0.142383 top_k_accuracy_5=0.324609 | |
| Epoch[1] Batch [4380] Speed: 859.37 samples/sec accuracy=0.144531 top_k_accuracy_5=0.326172 | |
| Epoch[1] Batch [4400] Speed: 883.38 samples/sec accuracy=0.144141 top_k_accuracy_5=0.314844 | |
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| Epoch[1] Batch [4640] Speed: 890.70 samples/sec accuracy=0.147852 top_k_accuracy_5=0.338477 | |
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| Epoch[1] Batch [4700] Speed: 858.21 samples/sec accuracy=0.147461 top_k_accuracy_5=0.331445 | |
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| Epoch[1] Batch [4800] Speed: 888.30 samples/sec accuracy=0.147461 top_k_accuracy_5=0.329492 | |
| Epoch[1] Batch [4820] Speed: 867.35 samples/sec accuracy=0.141992 top_k_accuracy_5=0.325391 | |
| Epoch[1] Batch [4840] Speed: 881.35 samples/sec accuracy=0.158594 top_k_accuracy_5=0.344336 | |
| Epoch[1] Batch [4860] Speed: 861.04 samples/sec accuracy=0.150781 top_k_accuracy_5=0.345898 | |
| Epoch[1] Batch [4880] Speed: 869.29 samples/sec accuracy=0.155273 top_k_accuracy_5=0.347852 | |
| Epoch[1] Batch [4900] Speed: 884.57 samples/sec accuracy=0.145313 top_k_accuracy_5=0.338477 | |
| Epoch[1] Batch [4920] Speed: 883.89 samples/sec accuracy=0.141797 top_k_accuracy_5=0.327148 | |
| Epoch[1] Batch [4940] Speed: 861.85 samples/sec accuracy=0.160547 top_k_accuracy_5=0.347266 | |
| Epoch[1] Batch [4960] Speed: 885.08 samples/sec accuracy=0.145508 top_k_accuracy_5=0.334766 | |
| Epoch[1] Batch [4980] Speed: 893.79 samples/sec accuracy=0.150000 top_k_accuracy_5=0.332227 | |
| Epoch[1] Batch [5000] Speed: 866.84 samples/sec accuracy=0.160938 top_k_accuracy_5=0.338867 | |
| Epoch[1] Train-accuracy=0.140625 | |
| Epoch[1] Train-top_k_accuracy_5=0.321289 | |
| Epoch[1] Time cost=1468.857 | |
| Saved checkpoint to "model/resnet18-0002.params" | |
| Epoch[1] Validation-accuracy=0.187220 | |
| Epoch[1] Validation-top_k_accuracy_5=0.404848 | |
| Epoch[2] Batch [20] Speed: 861.13 samples/sec accuracy=0.149740 top_k_accuracy_5=0.341146 | |
| Epoch[2] Batch [40] Speed: 876.44 samples/sec accuracy=0.158789 top_k_accuracy_5=0.344141 | |
| Epoch[2] Batch [60] Speed: 876.72 samples/sec accuracy=0.154297 top_k_accuracy_5=0.333008 | |
| Epoch[2] Batch [80] Speed: 894.49 samples/sec accuracy=0.153320 top_k_accuracy_5=0.346680 | |
| Epoch[2] Batch [100] Speed: 872.18 samples/sec accuracy=0.150586 top_k_accuracy_5=0.338281 | |
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| Epoch[2] Batch [280] Speed: 878.35 samples/sec accuracy=0.159570 top_k_accuracy_5=0.353516 | |
| Epoch[2] Batch [300] Speed: 874.93 samples/sec accuracy=0.145508 top_k_accuracy_5=0.335938 | |
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| Epoch[2] Batch [400] Speed: 893.49 samples/sec accuracy=0.155859 top_k_accuracy_5=0.351172 | |
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| Epoch[2] Batch [500] Speed: 867.23 samples/sec accuracy=0.161719 top_k_accuracy_5=0.356055 | |
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| Epoch[2] Batch [540] Speed: 879.55 samples/sec accuracy=0.164648 top_k_accuracy_5=0.346680 | |
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| Epoch[2] Batch [1740] Speed: 877.54 samples/sec accuracy=0.169336 top_k_accuracy_5=0.366016 | |
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| Epoch[2] Batch [1780] Speed: 872.31 samples/sec accuracy=0.164453 top_k_accuracy_5=0.360938 | |
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| Epoch[2] Batch [1980] Speed: 881.36 samples/sec accuracy=0.179102 top_k_accuracy_5=0.380859 | |
| Epoch[2] Batch [2000] Speed: 859.96 samples/sec accuracy=0.168164 top_k_accuracy_5=0.352930 | |
| Epoch[2] Batch [2020] Speed: 849.86 samples/sec accuracy=0.163867 top_k_accuracy_5=0.356445 | |
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| Epoch[2] Batch [2060] Speed: 856.25 samples/sec accuracy=0.161914 top_k_accuracy_5=0.346484 | |
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| Epoch[2] Batch [2200] Speed: 860.38 samples/sec accuracy=0.166992 top_k_accuracy_5=0.358398 | |
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| Epoch[2] Batch [2340] Speed: 862.90 samples/sec accuracy=0.182227 top_k_accuracy_5=0.373633 | |
| Epoch[2] Batch [2360] Speed: 863.38 samples/sec accuracy=0.166992 top_k_accuracy_5=0.354102 | |
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| Epoch[2] Batch [2400] Speed: 854.70 samples/sec accuracy=0.163477 top_k_accuracy_5=0.355859 | |
| Epoch[2] Batch [2420] Speed: 855.94 samples/sec accuracy=0.168555 top_k_accuracy_5=0.369531 | |
| Epoch[2] Batch [2440] Speed: 874.91 samples/sec accuracy=0.174805 top_k_accuracy_5=0.375391 | |
| Epoch[2] Batch [2460] Speed: 870.59 samples/sec accuracy=0.178125 top_k_accuracy_5=0.375977 | |
| Epoch[2] Batch [2480] Speed: 855.74 samples/sec accuracy=0.170117 top_k_accuracy_5=0.357812 | |
| Epoch[2] Batch [2500] Speed: 827.09 samples/sec accuracy=0.173047 top_k_accuracy_5=0.366992 | |
| Epoch[2] Batch [2520] Speed: 855.12 samples/sec accuracy=0.174219 top_k_accuracy_5=0.370703 | |
| Epoch[2] Batch [2540] Speed: 869.89 samples/sec accuracy=0.168555 top_k_accuracy_5=0.367969 | |
| Epoch[2] Batch [2560] Speed: 850.60 samples/sec accuracy=0.172266 top_k_accuracy_5=0.368555 | |
| Epoch[2] Batch [2580] Speed: 855.55 samples/sec accuracy=0.175195 top_k_accuracy_5=0.375586 | |
| Epoch[2] Batch [2600] Speed: 842.44 samples/sec accuracy=0.173437 top_k_accuracy_5=0.367969 | |
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| Epoch[2] Batch [2640] Speed: 859.69 samples/sec accuracy=0.178125 top_k_accuracy_5=0.369531 | |
| Epoch[2] Batch [2660] Speed: 848.27 samples/sec accuracy=0.175195 top_k_accuracy_5=0.366992 | |
| Epoch[2] Batch [2680] Speed: 843.44 samples/sec accuracy=0.172266 top_k_accuracy_5=0.361523 | |
| Epoch[2] Batch [2700] Speed: 856.93 samples/sec accuracy=0.172070 top_k_accuracy_5=0.373633 | |
| Epoch[2] Batch [2720] Speed: 844.17 samples/sec accuracy=0.174219 top_k_accuracy_5=0.370312 | |
| Epoch[2] Batch [2740] Speed: 855.94 samples/sec accuracy=0.178711 top_k_accuracy_5=0.377148 | |
| Epoch[2] Batch [2760] Speed: 850.36 samples/sec accuracy=0.166797 top_k_accuracy_5=0.368164 | |
| Epoch[2] Batch [2780] Speed: 856.42 samples/sec accuracy=0.181641 top_k_accuracy_5=0.376953 | |
| Epoch[2] Batch [2800] Speed: 865.56 samples/sec accuracy=0.171484 top_k_accuracy_5=0.358203 | |
| Epoch[2] Batch [2820] Speed: 855.94 samples/sec accuracy=0.173242 top_k_accuracy_5=0.366211 | |
| Epoch[2] Batch [2840] Speed: 830.30 samples/sec accuracy=0.170117 top_k_accuracy_5=0.368359 | |
| Epoch[2] Batch [2860] Speed: 848.42 samples/sec accuracy=0.175000 top_k_accuracy_5=0.373828 | |
| Epoch[2] Batch [2880] Speed: 842.75 samples/sec accuracy=0.174609 top_k_accuracy_5=0.368164 | |
| Epoch[2] Batch [2900] Speed: 853.59 samples/sec accuracy=0.175391 top_k_accuracy_5=0.373242 | |
| Epoch[2] Batch [2920] Speed: 856.41 samples/sec accuracy=0.170117 top_k_accuracy_5=0.365039 | |
| Epoch[2] Batch [2940] Speed: 856.04 samples/sec accuracy=0.164844 top_k_accuracy_5=0.364453 | |
| Epoch[2] Batch [2960] Speed: 846.62 samples/sec accuracy=0.170898 top_k_accuracy_5=0.367383 | |
| Epoch[2] Batch [2980] Speed: 867.18 samples/sec accuracy=0.172852 top_k_accuracy_5=0.373047 | |
| Epoch[2] Batch [3000] Speed: 880.06 samples/sec accuracy=0.162891 top_k_accuracy_5=0.367578 | |
| Epoch[2] Batch [3020] Speed: 882.70 samples/sec accuracy=0.169531 top_k_accuracy_5=0.372266 | |
| Epoch[2] Batch [3040] Speed: 868.44 samples/sec accuracy=0.178711 top_k_accuracy_5=0.374805 | |
| Epoch[2] Batch [3060] Speed: 877.22 samples/sec accuracy=0.166992 top_k_accuracy_5=0.373437 | |
| Epoch[2] Batch [3080] Speed: 857.18 samples/sec accuracy=0.171484 top_k_accuracy_5=0.383203 | |
| Epoch[2] Batch [3100] Speed: 877.25 samples/sec accuracy=0.173242 top_k_accuracy_5=0.375195 | |
| Epoch[2] Batch [3120] Speed: 861.17 samples/sec accuracy=0.181250 top_k_accuracy_5=0.379297 | |
| Epoch[2] Batch [3140] Speed: 869.93 samples/sec accuracy=0.181250 top_k_accuracy_5=0.373828 | |
| Epoch[2] Batch [3160] Speed: 892.42 samples/sec accuracy=0.182031 top_k_accuracy_5=0.383203 | |
| Epoch[2] Batch [3180] Speed: 869.30 samples/sec accuracy=0.185352 top_k_accuracy_5=0.380664 | |
| Epoch[2] Batch [3200] Speed: 882.97 samples/sec accuracy=0.172852 top_k_accuracy_5=0.370703 | |
| Epoch[2] Batch [3220] Speed: 881.88 samples/sec accuracy=0.170703 top_k_accuracy_5=0.364453 | |
| Epoch[2] Batch [3240] Speed: 879.15 samples/sec accuracy=0.173242 top_k_accuracy_5=0.364844 | |
| Epoch[2] Batch [3260] Speed: 877.50 samples/sec accuracy=0.177734 top_k_accuracy_5=0.385156 | |
| Epoch[2] Batch [3280] Speed: 883.67 samples/sec accuracy=0.178320 top_k_accuracy_5=0.382031 | |
| Epoch[2] Batch [3300] Speed: 872.80 samples/sec accuracy=0.181641 top_k_accuracy_5=0.378320 | |
| Epoch[2] Batch [3320] Speed: 883.50 samples/sec accuracy=0.188086 top_k_accuracy_5=0.398828 | |
| Epoch[2] Batch [3340] Speed: 874.71 samples/sec accuracy=0.174414 top_k_accuracy_5=0.367578 | |
| Epoch[2] Batch [3360] Speed: 862.50 samples/sec accuracy=0.174609 top_k_accuracy_5=0.373242 | |
| Epoch[2] Batch [3380] Speed: 899.63 samples/sec accuracy=0.180273 top_k_accuracy_5=0.381836 | |
| Epoch[2] Batch [3400] Speed: 863.44 samples/sec accuracy=0.175977 top_k_accuracy_5=0.371875 | |
| Epoch[2] Batch [3420] Speed: 887.42 samples/sec accuracy=0.177734 top_k_accuracy_5=0.382617 | |
| Epoch[2] Batch [3440] Speed: 857.28 samples/sec accuracy=0.186328 top_k_accuracy_5=0.390039 | |
| Epoch[2] Batch [3460] Speed: 868.52 samples/sec accuracy=0.182227 top_k_accuracy_5=0.380664 | |
| Epoch[2] Batch [3480] Speed: 869.87 samples/sec accuracy=0.177930 top_k_accuracy_5=0.381055 | |
| Epoch[2] Batch [3500] Speed: 886.81 samples/sec accuracy=0.170508 top_k_accuracy_5=0.367969 | |
| Epoch[2] Batch [3520] Speed: 887.83 samples/sec accuracy=0.173633 top_k_accuracy_5=0.384180 | |
| Epoch[2] Batch [3540] Speed: 863.21 samples/sec accuracy=0.176953 top_k_accuracy_5=0.376563 | |
| Epoch[2] Batch [3560] Speed: 900.36 samples/sec accuracy=0.164648 top_k_accuracy_5=0.367578 | |
| Epoch[2] Batch [3580] Speed: 872.34 samples/sec accuracy=0.171680 top_k_accuracy_5=0.364648 | |
| Epoch[2] Batch [3600] Speed: 869.94 samples/sec accuracy=0.175195 top_k_accuracy_5=0.372461 | |
| Epoch[2] Batch [3620] Speed: 866.70 samples/sec accuracy=0.180078 top_k_accuracy_5=0.378711 | |
| Epoch[2] Batch [3640] Speed: 865.74 samples/sec accuracy=0.175586 top_k_accuracy_5=0.371484 | |
| Epoch[2] Batch [3660] Speed: 867.17 samples/sec accuracy=0.175586 top_k_accuracy_5=0.376563 | |
| Epoch[2] Batch [3680] Speed: 884.51 samples/sec accuracy=0.181836 top_k_accuracy_5=0.380078 | |
| Epoch[2] Batch [3700] Speed: 871.07 samples/sec accuracy=0.177539 top_k_accuracy_5=0.377734 | |
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| Epoch[2] Batch [3740] Speed: 876.07 samples/sec accuracy=0.171680 top_k_accuracy_5=0.378125 | |
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| Epoch[2] Batch [3780] Speed: 870.48 samples/sec accuracy=0.190625 top_k_accuracy_5=0.387891 | |
| Epoch[2] Batch [3800] Speed: 892.37 samples/sec accuracy=0.183008 top_k_accuracy_5=0.373242 | |
| Epoch[2] Batch [3820] Speed: 871.88 samples/sec accuracy=0.189062 top_k_accuracy_5=0.394336 | |
| Epoch[2] Batch [3840] Speed: 876.25 samples/sec accuracy=0.183008 top_k_accuracy_5=0.379883 | |
| Epoch[2] Batch [3860] Speed: 862.93 samples/sec accuracy=0.173437 top_k_accuracy_5=0.366406 | |
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| Epoch[2] Batch [3920] Speed: 855.95 samples/sec accuracy=0.183984 top_k_accuracy_5=0.390625 | |
| Epoch[2] Batch [3940] Speed: 861.66 samples/sec accuracy=0.187305 top_k_accuracy_5=0.386328 | |
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| Epoch[2] Batch [3980] Speed: 872.97 samples/sec accuracy=0.179297 top_k_accuracy_5=0.388086 | |
| Epoch[2] Batch [4000] Speed: 871.71 samples/sec accuracy=0.181641 top_k_accuracy_5=0.367969 | |
| Epoch[2] Batch [4020] Speed: 885.54 samples/sec accuracy=0.178320 top_k_accuracy_5=0.386523 | |
| Epoch[2] Batch [4040] Speed: 871.84 samples/sec accuracy=0.175391 top_k_accuracy_5=0.383789 | |
| Epoch[2] Batch [4060] Speed: 889.38 samples/sec accuracy=0.182031 top_k_accuracy_5=0.376563 | |
| Epoch[2] Batch [4080] Speed: 891.53 samples/sec accuracy=0.177734 top_k_accuracy_5=0.383984 | |
| Epoch[2] Batch [4100] Speed: 871.25 samples/sec accuracy=0.178125 top_k_accuracy_5=0.382031 | |
| Epoch[2] Batch [4120] Speed: 876.80 samples/sec accuracy=0.176953 top_k_accuracy_5=0.370117 | |
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| Epoch[2] Batch [4800] Speed: 874.48 samples/sec accuracy=0.184180 top_k_accuracy_5=0.380078 | |
| Epoch[2] Batch [4820] Speed: 879.95 samples/sec accuracy=0.183789 top_k_accuracy_5=0.388867 | |
| Epoch[2] Batch [4840] Speed: 880.15 samples/sec accuracy=0.188477 top_k_accuracy_5=0.389844 | |
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| Epoch[2] Batch [4880] Speed: 872.63 samples/sec accuracy=0.179883 top_k_accuracy_5=0.397266 | |
| Epoch[2] Batch [4900] Speed: 877.05 samples/sec accuracy=0.182812 top_k_accuracy_5=0.395313 | |
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| Epoch[2] Batch [4940] Speed: 873.58 samples/sec accuracy=0.194727 top_k_accuracy_5=0.398438 | |
| Epoch[2] Batch [4960] Speed: 893.33 samples/sec accuracy=0.182422 top_k_accuracy_5=0.382812 | |
| Epoch[2] Batch [4980] Speed: 892.09 samples/sec accuracy=0.188867 top_k_accuracy_5=0.390039 | |
| Epoch[2] Batch [5000] Speed: 880.40 samples/sec accuracy=0.192773 top_k_accuracy_5=0.403516 | |
| Epoch[2] Train-accuracy=0.186198 | |
| Epoch[2] Train-top_k_accuracy_5=0.376302 | |
| Epoch[2] Time cost=1473.840 | |
| Saved checkpoint to "model/resnet18-0003.params" | |
| Epoch[2] Validation-accuracy=0.254748 | |
| Epoch[2] Validation-top_k_accuracy_5=0.497436 | |
| Epoch[3] Batch [20] Speed: 874.17 samples/sec accuracy=0.186012 top_k_accuracy_5=0.394717 | |
| Epoch[3] Batch [40] Speed: 880.53 samples/sec accuracy=0.197266 top_k_accuracy_5=0.396094 | |
| Epoch[3] Batch [60] Speed: 877.09 samples/sec accuracy=0.181836 top_k_accuracy_5=0.378711 | |
| Epoch[3] Batch [80] Speed: 867.72 samples/sec accuracy=0.198047 top_k_accuracy_5=0.407422 | |
| Epoch[3] Batch [100] Speed: 895.38 samples/sec accuracy=0.181250 top_k_accuracy_5=0.380469 | |
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| Epoch[3] Batch [300] Speed: 860.32 samples/sec accuracy=0.185742 top_k_accuracy_5=0.390625 | |
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| Epoch[3] Batch [500] Speed: 893.09 samples/sec accuracy=0.195508 top_k_accuracy_5=0.397266 | |
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| Epoch[3] Batch [540] Speed: 881.10 samples/sec accuracy=0.194531 top_k_accuracy_5=0.410547 | |
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| Epoch[3] Batch [580] Speed: 872.57 samples/sec accuracy=0.191992 top_k_accuracy_5=0.391602 | |
| Epoch[3] Batch [600] Speed: 863.12 samples/sec accuracy=0.200195 top_k_accuracy_5=0.401953 | |
| Epoch[3] Batch [620] Speed: 880.14 samples/sec accuracy=0.191406 top_k_accuracy_5=0.379102 | |
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| Epoch[3] Batch [900] Speed: 876.05 samples/sec accuracy=0.194336 top_k_accuracy_5=0.406055 | |
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| Epoch[3] Batch [960] Speed: 874.16 samples/sec accuracy=0.196680 top_k_accuracy_5=0.398633 | |
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| Epoch[3] Batch [1000] Speed: 870.86 samples/sec accuracy=0.199414 top_k_accuracy_5=0.397461 | |
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| Epoch[3] Batch [1040] Speed: 874.31 samples/sec accuracy=0.196680 top_k_accuracy_5=0.395703 | |
| Epoch[3] Batch [1060] Speed: 878.58 samples/sec accuracy=0.186719 top_k_accuracy_5=0.403125 | |
| Epoch[3] Batch [1080] Speed: 870.28 samples/sec accuracy=0.199609 top_k_accuracy_5=0.397266 | |
| Epoch[3] Batch [1100] Speed: 883.70 samples/sec accuracy=0.188281 top_k_accuracy_5=0.384570 | |
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| Epoch[3] Batch [1200] Speed: 879.77 samples/sec accuracy=0.201953 top_k_accuracy_5=0.401562 | |
| Epoch[3] Batch [1220] Speed: 895.83 samples/sec accuracy=0.194922 top_k_accuracy_5=0.405469 | |
| Epoch[3] Batch [1240] Speed: 879.95 samples/sec accuracy=0.194922 top_k_accuracy_5=0.399219 | |
| Epoch[3] Batch [1260] Speed: 889.66 samples/sec accuracy=0.190625 top_k_accuracy_5=0.395313 | |
| Epoch[3] Batch [1280] Speed: 886.77 samples/sec accuracy=0.182812 top_k_accuracy_5=0.379688 | |
| Epoch[3] Batch [1300] Speed: 876.34 samples/sec accuracy=0.201563 top_k_accuracy_5=0.408203 | |
| Epoch[3] Batch [1320] Speed: 880.52 samples/sec accuracy=0.193750 top_k_accuracy_5=0.402734 | |
| Epoch[3] Batch [1340] Speed: 895.56 samples/sec accuracy=0.190430 top_k_accuracy_5=0.389453 | |
| Epoch[3] Batch [1360] Speed: 872.93 samples/sec accuracy=0.191602 top_k_accuracy_5=0.395703 | |
| Epoch[3] Batch [1380] Speed: 874.95 samples/sec accuracy=0.195703 top_k_accuracy_5=0.398828 | |
| Epoch[3] Batch [1400] Speed: 892.83 samples/sec accuracy=0.193555 top_k_accuracy_5=0.398828 | |
| Epoch[3] Batch [1420] Speed: 894.95 samples/sec accuracy=0.192188 top_k_accuracy_5=0.401562 | |
| Epoch[3] Batch [1440] Speed: 871.62 samples/sec accuracy=0.204687 top_k_accuracy_5=0.411523 | |
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| Epoch[3] Batch [1480] Speed: 885.70 samples/sec accuracy=0.199414 top_k_accuracy_5=0.401562 | |
| Epoch[3] Batch [1500] Speed: 906.60 samples/sec accuracy=0.191016 top_k_accuracy_5=0.390625 | |
| Epoch[3] Batch [1520] Speed: 880.25 samples/sec accuracy=0.194531 top_k_accuracy_5=0.403516 | |
| Epoch[3] Batch [1540] Speed: 877.77 samples/sec accuracy=0.189844 top_k_accuracy_5=0.396484 | |
| Epoch[3] Batch [1560] Speed: 895.43 samples/sec accuracy=0.191406 top_k_accuracy_5=0.400586 | |
| Epoch[3] Batch [1580] Speed: 879.09 samples/sec accuracy=0.195703 top_k_accuracy_5=0.393555 | |
| Epoch[3] Batch [1600] Speed: 888.08 samples/sec accuracy=0.197070 top_k_accuracy_5=0.405469 | |
| Epoch[3] Batch [1620] Speed: 874.32 samples/sec accuracy=0.188477 top_k_accuracy_5=0.386133 | |
| Epoch[3] Batch [1640] Speed: 897.63 samples/sec accuracy=0.193750 top_k_accuracy_5=0.394922 | |
| Epoch[3] Batch [1660] Speed: 880.36 samples/sec accuracy=0.204687 top_k_accuracy_5=0.402539 | |
| Epoch[3] Batch [1680] Speed: 896.72 samples/sec accuracy=0.207031 top_k_accuracy_5=0.418359 | |
| Epoch[3] Batch [1700] Speed: 894.12 samples/sec accuracy=0.196484 top_k_accuracy_5=0.408789 | |
| Epoch[3] Batch [1720] Speed: 880.91 samples/sec accuracy=0.191406 top_k_accuracy_5=0.404687 | |
| Epoch[3] Batch [1740] Speed: 887.49 samples/sec accuracy=0.203516 top_k_accuracy_5=0.415430 | |
| Epoch[3] Batch [1760] Speed: 886.86 samples/sec accuracy=0.197656 top_k_accuracy_5=0.405469 | |
| Epoch[3] Batch [1780] Speed: 895.72 samples/sec accuracy=0.192773 top_k_accuracy_5=0.400000 | |
| Epoch[3] Batch [1800] Speed: 883.00 samples/sec accuracy=0.191016 top_k_accuracy_5=0.403125 | |
| Epoch[3] Batch [1820] Speed: 887.82 samples/sec accuracy=0.191992 top_k_accuracy_5=0.401953 | |
| Epoch[3] Batch [1840] Speed: 904.77 samples/sec accuracy=0.189844 top_k_accuracy_5=0.407422 | |
| Epoch[3] Batch [1860] Speed: 899.22 samples/sec accuracy=0.197070 top_k_accuracy_5=0.408008 | |
| Epoch[3] Batch [1880] Speed: 902.45 samples/sec accuracy=0.191016 top_k_accuracy_5=0.384375 | |
| Epoch[3] Batch [1900] Speed: 907.39 samples/sec accuracy=0.193164 top_k_accuracy_5=0.401562 | |
| Epoch[3] Batch [1920] Speed: 884.70 samples/sec accuracy=0.199023 top_k_accuracy_5=0.412109 | |
| Epoch[3] Batch [1940] Speed: 904.52 samples/sec accuracy=0.201758 top_k_accuracy_5=0.408008 | |
| Epoch[3] Batch [1960] Speed: 889.35 samples/sec accuracy=0.193359 top_k_accuracy_5=0.409961 | |
| Epoch[3] Batch [1980] Speed: 883.82 samples/sec accuracy=0.200977 top_k_accuracy_5=0.416797 | |
| Epoch[3] Batch [2000] Speed: 874.14 samples/sec accuracy=0.194922 top_k_accuracy_5=0.398828 | |
| Epoch[3] Batch [2020] Speed: 883.07 samples/sec accuracy=0.195312 top_k_accuracy_5=0.399219 | |
| Epoch[3] Batch [2040] Speed: 908.21 samples/sec accuracy=0.207617 top_k_accuracy_5=0.411523 | |
| Epoch[3] Batch [2060] Speed: 889.75 samples/sec accuracy=0.190430 top_k_accuracy_5=0.390430 | |
| Epoch[3] Batch [2080] Speed: 895.94 samples/sec accuracy=0.201953 top_k_accuracy_5=0.405859 | |
| Epoch[3] Batch [2100] Speed: 891.31 samples/sec accuracy=0.196289 top_k_accuracy_5=0.401562 | |
| Epoch[3] Batch [2120] Speed: 883.29 samples/sec accuracy=0.194727 top_k_accuracy_5=0.406250 | |
| Epoch[3] Batch [2140] Speed: 891.91 samples/sec accuracy=0.197070 top_k_accuracy_5=0.404883 | |
| Epoch[3] Batch [2160] Speed: 881.11 samples/sec accuracy=0.198633 top_k_accuracy_5=0.415820 | |
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| Epoch[3] Batch [2300] Speed: 889.44 samples/sec accuracy=0.200781 top_k_accuracy_5=0.400000 | |
| Epoch[3] Batch [2320] Speed: 882.79 samples/sec accuracy=0.188672 top_k_accuracy_5=0.392578 | |
| Epoch[3] Batch [2340] Speed: 889.53 samples/sec accuracy=0.205859 top_k_accuracy_5=0.410156 | |
| Epoch[3] Batch [2360] Speed: 892.77 samples/sec accuracy=0.207422 top_k_accuracy_5=0.413867 | |
| Epoch[3] Batch [2380] Speed: 896.38 samples/sec accuracy=0.215234 top_k_accuracy_5=0.426758 | |
| Epoch[3] Batch [2400] Speed: 879.82 samples/sec accuracy=0.193164 top_k_accuracy_5=0.404492 | |
| Epoch[3] Batch [2420] Speed: 878.03 samples/sec accuracy=0.196484 top_k_accuracy_5=0.402344 | |
| Epoch[3] Batch [2440] Speed: 872.93 samples/sec accuracy=0.207617 top_k_accuracy_5=0.418359 | |
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| Epoch[3] Batch [2480] Speed: 885.50 samples/sec accuracy=0.199414 top_k_accuracy_5=0.397266 | |
| Epoch[3] Batch [2500] Speed: 896.61 samples/sec accuracy=0.197852 top_k_accuracy_5=0.401953 | |
| Epoch[3] Batch [2520] Speed: 901.41 samples/sec accuracy=0.204297 top_k_accuracy_5=0.412891 | |
| Epoch[3] Batch [2540] Speed: 890.45 samples/sec accuracy=0.203320 top_k_accuracy_5=0.409180 | |
| Epoch[3] Batch [2560] Speed: 887.50 samples/sec accuracy=0.191016 top_k_accuracy_5=0.405273 | |
| Epoch[3] Batch [2580] Speed: 878.35 samples/sec accuracy=0.198047 top_k_accuracy_5=0.411523 | |
| Epoch[3] Batch [2600] Speed: 884.09 samples/sec accuracy=0.207031 top_k_accuracy_5=0.406641 | |
| Epoch[3] Batch [2620] Speed: 895.73 samples/sec accuracy=0.200195 top_k_accuracy_5=0.399219 | |
| Epoch[3] Batch [2640] Speed: 874.68 samples/sec accuracy=0.206250 top_k_accuracy_5=0.406250 | |
| Epoch[3] Batch [2660] Speed: 892.99 samples/sec accuracy=0.195703 top_k_accuracy_5=0.411914 | |
| Epoch[3] Batch [2680] Speed: 878.29 samples/sec accuracy=0.199023 top_k_accuracy_5=0.420117 | |
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| Epoch[3] Batch [4840] Speed: 894.27 samples/sec accuracy=0.217188 top_k_accuracy_5=0.424805 | |
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| Epoch[3] Batch [5000] Speed: 865.35 samples/sec accuracy=0.216211 top_k_accuracy_5=0.437695 | |
| Epoch[3] Train-accuracy=0.204102 | |
| Epoch[3] Train-top_k_accuracy_5=0.416992 | |
| Epoch[3] Time cost=1450.570 | |
| Saved checkpoint to "model/resnet18-0004.params" | |
| Epoch[3] Validation-accuracy=0.276786 | |
| Epoch[3] Validation-top_k_accuracy_5=0.524613 | |
| Epoch[4] Batch [20] Speed: 871.32 samples/sec accuracy=0.203869 top_k_accuracy_5=0.418341 | |
| Epoch[4] Batch [40] Speed: 883.52 samples/sec accuracy=0.205273 top_k_accuracy_5=0.417969 | |
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| Epoch[4] Batch [1260] Speed: 884.62 samples/sec accuracy=0.206836 top_k_accuracy_5=0.419922 | |
| Epoch[4] Batch [1280] Speed: 920.92 samples/sec accuracy=0.211914 top_k_accuracy_5=0.423242 | |
| Epoch[4] Batch [1300] Speed: 894.54 samples/sec accuracy=0.212891 top_k_accuracy_5=0.426367 | |
| Epoch[4] Batch [1320] Speed: 900.19 samples/sec accuracy=0.219727 top_k_accuracy_5=0.440625 | |
| Epoch[4] Batch [1340] Speed: 909.05 samples/sec accuracy=0.215430 top_k_accuracy_5=0.432617 | |
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| Epoch[4] Batch [1380] Speed: 879.40 samples/sec accuracy=0.214648 top_k_accuracy_5=0.425391 | |
| Epoch[4] Batch [1400] Speed: 903.43 samples/sec accuracy=0.209570 top_k_accuracy_5=0.426172 | |
| Epoch[4] Batch [1420] Speed: 883.56 samples/sec accuracy=0.210352 top_k_accuracy_5=0.422461 | |
| Epoch[4] Batch [1440] Speed: 903.55 samples/sec accuracy=0.219531 top_k_accuracy_5=0.434766 | |
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| Epoch[4] Batch [1520] Speed: 910.86 samples/sec accuracy=0.206641 top_k_accuracy_5=0.416406 | |
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| Epoch[4] Batch [1720] Speed: 879.33 samples/sec accuracy=0.212891 top_k_accuracy_5=0.434766 | |
| Epoch[4] Batch [1740] Speed: 892.45 samples/sec accuracy=0.207422 top_k_accuracy_5=0.415625 | |
| Epoch[4] Batch [1760] Speed: 883.77 samples/sec accuracy=0.211914 top_k_accuracy_5=0.427539 | |
| Epoch[4] Batch [1780] Speed: 876.45 samples/sec accuracy=0.214453 top_k_accuracy_5=0.437695 | |
| Epoch[4] Batch [1800] Speed: 886.81 samples/sec accuracy=0.211914 top_k_accuracy_5=0.429297 | |
| Epoch[4] Batch [1820] Speed: 890.39 samples/sec accuracy=0.212500 top_k_accuracy_5=0.430078 | |
| Epoch[4] Batch [1840] Speed: 891.36 samples/sec accuracy=0.213477 top_k_accuracy_5=0.422266 | |
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| Epoch[4] Batch [1900] Speed: 903.20 samples/sec accuracy=0.219922 top_k_accuracy_5=0.439453 | |
| Epoch[4] Batch [1920] Speed: 902.48 samples/sec accuracy=0.215039 top_k_accuracy_5=0.433594 | |
| Epoch[4] Batch [1940] Speed: 879.32 samples/sec accuracy=0.219922 top_k_accuracy_5=0.436133 | |
| Epoch[4] Batch [1960] Speed: 900.41 samples/sec accuracy=0.207617 top_k_accuracy_5=0.428125 | |
| Epoch[4] Batch [1980] Speed: 893.96 samples/sec accuracy=0.223828 top_k_accuracy_5=0.432422 | |
| Epoch[4] Batch [2000] Speed: 888.96 samples/sec accuracy=0.214258 top_k_accuracy_5=0.415430 | |
| Epoch[4] Batch [2020] Speed: 895.20 samples/sec accuracy=0.223438 top_k_accuracy_5=0.424023 | |
| Epoch[4] Batch [2040] Speed: 873.70 samples/sec accuracy=0.210742 top_k_accuracy_5=0.433203 | |
| Epoch[4] Batch [2060] Speed: 890.19 samples/sec accuracy=0.213086 top_k_accuracy_5=0.426563 | |
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| Epoch[4] Batch [2100] Speed: 899.55 samples/sec accuracy=0.216992 top_k_accuracy_5=0.433008 | |
| Epoch[4] Batch [2120] Speed: 891.08 samples/sec accuracy=0.218359 top_k_accuracy_5=0.433008 | |
| Epoch[4] Batch [2140] Speed: 880.95 samples/sec accuracy=0.214062 top_k_accuracy_5=0.433594 | |
| Epoch[4] Batch [2160] Speed: 888.08 samples/sec accuracy=0.224023 top_k_accuracy_5=0.437891 | |
| Epoch[4] Batch [2180] Speed: 886.29 samples/sec accuracy=0.212305 top_k_accuracy_5=0.422070 | |
| Epoch[4] Batch [2200] Speed: 890.31 samples/sec accuracy=0.223438 top_k_accuracy_5=0.423828 | |
| Epoch[4] Batch [2220] Speed: 893.62 samples/sec accuracy=0.212500 top_k_accuracy_5=0.420508 | |
| Epoch[4] Batch [2240] Speed: 895.95 samples/sec accuracy=0.208203 top_k_accuracy_5=0.438477 | |
| Epoch[4] Batch [2260] Speed: 887.61 samples/sec accuracy=0.216016 top_k_accuracy_5=0.434766 | |
| Epoch[4] Batch [2280] Speed: 889.18 samples/sec accuracy=0.226953 top_k_accuracy_5=0.434375 | |
| Epoch[4] Batch [2300] Speed: 891.78 samples/sec accuracy=0.212305 top_k_accuracy_5=0.428125 | |
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| Epoch[4] Batch [2340] Speed: 898.80 samples/sec accuracy=0.215430 top_k_accuracy_5=0.436133 | |
| Epoch[4] Batch [2360] Speed: 895.56 samples/sec accuracy=0.224609 top_k_accuracy_5=0.444531 | |
| Epoch[4] Batch [2380] Speed: 902.54 samples/sec accuracy=0.225781 top_k_accuracy_5=0.430664 | |
| Epoch[4] Batch [2400] Speed: 891.98 samples/sec accuracy=0.208594 top_k_accuracy_5=0.412695 | |
| Epoch[4] Batch [2420] Speed: 874.43 samples/sec accuracy=0.215820 top_k_accuracy_5=0.424219 | |
| Epoch[4] Batch [2440] Speed: 909.40 samples/sec accuracy=0.231836 top_k_accuracy_5=0.449414 | |
| Epoch[4] Batch [2460] Speed: 880.15 samples/sec accuracy=0.221484 top_k_accuracy_5=0.441602 | |
| Epoch[4] Batch [2480] Speed: 888.82 samples/sec accuracy=0.217578 top_k_accuracy_5=0.432422 | |
| Epoch[4] Batch [2500] Speed: 900.18 samples/sec accuracy=0.209766 top_k_accuracy_5=0.429297 | |
| Epoch[4] Batch [2520] Speed: 888.15 samples/sec accuracy=0.225195 top_k_accuracy_5=0.445508 | |
| Epoch[4] Batch [2540] Speed: 887.74 samples/sec accuracy=0.215820 top_k_accuracy_5=0.430664 | |
| Epoch[4] Batch [2560] Speed: 889.92 samples/sec accuracy=0.219922 top_k_accuracy_5=0.439258 | |
| Epoch[4] Batch [2580] Speed: 890.43 samples/sec accuracy=0.222852 top_k_accuracy_5=0.436328 | |
| Epoch[4] Batch [2600] Speed: 877.40 samples/sec accuracy=0.213867 top_k_accuracy_5=0.426367 | |
| Epoch[4] Batch [2620] Speed: 887.78 samples/sec accuracy=0.213867 top_k_accuracy_5=0.421680 | |
| Epoch[4] Batch [2640] Speed: 885.11 samples/sec accuracy=0.212695 top_k_accuracy_5=0.429492 | |
| Epoch[4] Batch [2660] Speed: 890.11 samples/sec accuracy=0.217969 top_k_accuracy_5=0.426172 | |
| Epoch[4] Batch [2680] Speed: 884.50 samples/sec accuracy=0.220312 top_k_accuracy_5=0.425781 | |
| Epoch[4] Batch [2700] Speed: 903.79 samples/sec accuracy=0.211914 top_k_accuracy_5=0.430469 | |
| Epoch[4] Batch [2720] Speed: 881.77 samples/sec accuracy=0.215820 top_k_accuracy_5=0.441602 | |
| Epoch[4] Batch [2740] Speed: 889.92 samples/sec accuracy=0.220898 top_k_accuracy_5=0.431641 | |
| Epoch[4] Batch [2760] Speed: 904.41 samples/sec accuracy=0.222656 top_k_accuracy_5=0.441797 | |
| Epoch[4] Batch [2780] Speed: 887.22 samples/sec accuracy=0.227539 top_k_accuracy_5=0.435742 | |
| Epoch[4] Batch [2800] Speed: 878.89 samples/sec accuracy=0.211133 top_k_accuracy_5=0.429297 | |
| Epoch[4] Batch [2820] Speed: 895.34 samples/sec accuracy=0.213086 top_k_accuracy_5=0.425977 | |
| Epoch[4] Batch [2840] Speed: 889.10 samples/sec accuracy=0.222656 top_k_accuracy_5=0.434766 | |
| Epoch[4] Batch [2860] Speed: 914.44 samples/sec accuracy=0.233203 top_k_accuracy_5=0.450391 | |
| Epoch[4] Batch [2880] Speed: 908.53 samples/sec accuracy=0.213086 top_k_accuracy_5=0.435156 | |
| Epoch[4] Batch [2900] Speed: 877.98 samples/sec accuracy=0.219531 top_k_accuracy_5=0.433008 | |
| Epoch[4] Batch [2920] Speed: 881.78 samples/sec accuracy=0.212305 top_k_accuracy_5=0.422461 | |
| Epoch[4] Batch [2940] Speed: 882.01 samples/sec accuracy=0.209375 top_k_accuracy_5=0.429492 | |
| Epoch[4] Batch [2960] Speed: 883.23 samples/sec accuracy=0.215430 top_k_accuracy_5=0.426172 | |
| Epoch[4] Batch [2980] Speed: 899.14 samples/sec accuracy=0.221484 top_k_accuracy_5=0.433594 | |
| Epoch[4] Batch [3000] Speed: 887.86 samples/sec accuracy=0.222266 top_k_accuracy_5=0.438477 | |
| Epoch[4] Batch [3020] Speed: 896.40 samples/sec accuracy=0.219141 top_k_accuracy_5=0.429102 | |
| Epoch[4] Batch [3040] Speed: 892.72 samples/sec accuracy=0.216016 top_k_accuracy_5=0.426953 | |
| Epoch[4] Batch [3060] Speed: 902.34 samples/sec accuracy=0.213477 top_k_accuracy_5=0.432031 | |
| Epoch[4] Batch [3080] Speed: 924.84 samples/sec accuracy=0.216016 top_k_accuracy_5=0.436328 | |
| Epoch[4] Batch [3100] Speed: 881.30 samples/sec accuracy=0.209961 top_k_accuracy_5=0.426953 | |
| Epoch[4] Batch [3120] Speed: 889.33 samples/sec accuracy=0.216406 top_k_accuracy_5=0.428711 | |
| Epoch[4] Batch [3140] Speed: 885.99 samples/sec accuracy=0.205273 top_k_accuracy_5=0.432031 | |
| Epoch[4] Batch [3160] Speed: 879.29 samples/sec accuracy=0.237109 top_k_accuracy_5=0.443945 | |
| Epoch[4] Batch [3180] Speed: 879.66 samples/sec accuracy=0.222070 top_k_accuracy_5=0.446875 | |
| Epoch[4] Batch [3200] Speed: 891.66 samples/sec accuracy=0.224805 top_k_accuracy_5=0.439063 | |
| Epoch[4] Batch [3220] Speed: 878.77 samples/sec accuracy=0.225000 top_k_accuracy_5=0.442188 | |
| Epoch[4] Batch [3240] Speed: 883.82 samples/sec accuracy=0.213086 top_k_accuracy_5=0.413867 | |
| Epoch[4] Batch [3260] Speed: 906.94 samples/sec accuracy=0.222266 top_k_accuracy_5=0.440234 | |
| Epoch[4] Batch [3280] Speed: 898.04 samples/sec accuracy=0.229297 top_k_accuracy_5=0.433789 | |
| Epoch[4] Batch [3300] Speed: 889.42 samples/sec accuracy=0.219336 top_k_accuracy_5=0.424023 | |
| Epoch[4] Batch [3320] Speed: 882.54 samples/sec accuracy=0.222070 top_k_accuracy_5=0.440430 | |
| Epoch[4] Batch [3340] Speed: 892.25 samples/sec accuracy=0.210352 top_k_accuracy_5=0.427344 | |
| Epoch[4] Batch [3360] Speed: 886.27 samples/sec accuracy=0.210938 top_k_accuracy_5=0.428906 | |
| Epoch[4] Batch [3380] Speed: 882.10 samples/sec accuracy=0.211328 top_k_accuracy_5=0.432031 | |
| Epoch[4] Batch [3400] Speed: 915.86 samples/sec accuracy=0.211914 top_k_accuracy_5=0.433203 | |
| Epoch[4] Batch [3420] Speed: 878.90 samples/sec accuracy=0.229687 top_k_accuracy_5=0.445898 | |
| Epoch[4] Batch [3440] Speed: 893.05 samples/sec accuracy=0.235937 top_k_accuracy_5=0.457031 | |
| Epoch[4] Batch [3460] Speed: 885.43 samples/sec accuracy=0.229297 top_k_accuracy_5=0.438086 | |
| Epoch[4] Batch [3480] Speed: 899.44 samples/sec accuracy=0.227344 top_k_accuracy_5=0.441797 | |
| Epoch[4] Batch [3500] Speed: 879.86 samples/sec accuracy=0.219922 top_k_accuracy_5=0.436523 | |
| Epoch[4] Batch [3520] Speed: 871.35 samples/sec accuracy=0.215039 top_k_accuracy_5=0.439258 | |
| Epoch[4] Batch [3540] Speed: 873.63 samples/sec accuracy=0.220703 top_k_accuracy_5=0.428711 | |
| Epoch[4] Batch [3560] Speed: 882.80 samples/sec accuracy=0.225977 top_k_accuracy_5=0.435742 | |
| Epoch[4] Batch [3580] Speed: 874.84 samples/sec accuracy=0.219922 top_k_accuracy_5=0.436328 | |
| Epoch[4] Batch [3600] Speed: 893.05 samples/sec accuracy=0.223633 top_k_accuracy_5=0.433008 | |
| Epoch[4] Batch [3620] Speed: 891.98 samples/sec accuracy=0.215820 top_k_accuracy_5=0.427734 | |
| Epoch[4] Batch [3640] Speed: 894.87 samples/sec accuracy=0.226562 top_k_accuracy_5=0.449609 | |
| Epoch[4] Batch [3660] Speed: 879.74 samples/sec accuracy=0.223828 top_k_accuracy_5=0.441797 | |
| Epoch[4] Batch [3680] Speed: 897.43 samples/sec accuracy=0.218945 top_k_accuracy_5=0.434961 | |
| Epoch[4] Batch [3700] Speed: 894.38 samples/sec accuracy=0.219531 top_k_accuracy_5=0.435547 | |
| Epoch[4] Batch [3720] Speed: 883.93 samples/sec accuracy=0.222656 top_k_accuracy_5=0.439453 | |
| Epoch[4] Batch [3740] Speed: 873.17 samples/sec accuracy=0.213867 top_k_accuracy_5=0.447266 | |
| Epoch[4] Batch [3760] Speed: 877.47 samples/sec accuracy=0.225586 top_k_accuracy_5=0.441406 | |
| Epoch[4] Batch [3780] Speed: 886.83 samples/sec accuracy=0.238672 top_k_accuracy_5=0.454492 | |
| Epoch[4] Batch [3800] Speed: 883.55 samples/sec accuracy=0.220703 top_k_accuracy_5=0.438867 | |
| Epoch[4] Batch [3820] Speed: 887.18 samples/sec accuracy=0.234180 top_k_accuracy_5=0.451367 | |
| Epoch[4] Batch [3840] Speed: 891.38 samples/sec accuracy=0.227930 top_k_accuracy_5=0.434375 | |
| Epoch[4] Batch [3860] Speed: 894.17 samples/sec accuracy=0.208594 top_k_accuracy_5=0.413477 | |
| Epoch[4] Batch [3880] Speed: 910.17 samples/sec accuracy=0.219727 top_k_accuracy_5=0.427734 | |
| Epoch[4] Batch [3900] Speed: 886.89 samples/sec accuracy=0.228906 top_k_accuracy_5=0.450391 | |
| Epoch[4] Batch [3920] Speed: 876.58 samples/sec accuracy=0.222266 top_k_accuracy_5=0.441406 | |
| Epoch[4] Batch [3940] Speed: 888.35 samples/sec accuracy=0.229883 top_k_accuracy_5=0.448633 | |
| Epoch[4] Batch [3960] Speed: 872.63 samples/sec accuracy=0.227930 top_k_accuracy_5=0.443555 | |
| Epoch[4] Batch [3980] Speed: 890.82 samples/sec accuracy=0.216602 top_k_accuracy_5=0.442188 | |
| Epoch[4] Batch [4000] Speed: 883.46 samples/sec accuracy=0.224219 top_k_accuracy_5=0.427930 | |
| Epoch[4] Batch [4020] Speed: 894.83 samples/sec accuracy=0.222266 top_k_accuracy_5=0.449219 | |
| Epoch[4] Batch [4040] Speed: 874.60 samples/sec accuracy=0.209766 top_k_accuracy_5=0.422656 | |
| Epoch[4] Batch [4060] Speed: 881.49 samples/sec accuracy=0.218750 top_k_accuracy_5=0.433984 | |
| Epoch[4] Batch [4080] Speed: 915.73 samples/sec accuracy=0.224023 top_k_accuracy_5=0.431055 | |
| Epoch[4] Batch [4100] Speed: 894.38 samples/sec accuracy=0.215039 top_k_accuracy_5=0.430664 | |
| Epoch[4] Batch [4120] Speed: 877.77 samples/sec accuracy=0.212695 top_k_accuracy_5=0.427734 | |
| Epoch[4] Batch [4140] Speed: 887.37 samples/sec accuracy=0.218750 top_k_accuracy_5=0.438477 | |
| Epoch[4] Batch [4160] Speed: 906.11 samples/sec accuracy=0.222266 top_k_accuracy_5=0.436133 | |
| Epoch[4] Batch [4180] Speed: 889.42 samples/sec accuracy=0.224414 top_k_accuracy_5=0.431836 | |
| Epoch[4] Batch [4200] Speed: 874.23 samples/sec accuracy=0.224805 top_k_accuracy_5=0.448828 | |
| Epoch[4] Batch [4220] Speed: 887.50 samples/sec accuracy=0.212500 top_k_accuracy_5=0.425000 | |
| Epoch[4] Batch [4240] Speed: 890.35 samples/sec accuracy=0.225781 top_k_accuracy_5=0.436719 | |
| Epoch[4] Batch [4260] Speed: 894.72 samples/sec accuracy=0.220703 top_k_accuracy_5=0.440820 | |
| Epoch[4] Batch [4280] Speed: 882.27 samples/sec accuracy=0.226758 top_k_accuracy_5=0.438086 | |
| Epoch[4] Batch [4300] Speed: 893.24 samples/sec accuracy=0.228516 top_k_accuracy_5=0.435352 | |
| Epoch[4] Batch [4320] Speed: 875.45 samples/sec accuracy=0.228125 top_k_accuracy_5=0.440625 | |
| Epoch[4] Batch [4340] Speed: 872.37 samples/sec accuracy=0.231250 top_k_accuracy_5=0.446680 | |
| Epoch[4] Batch [4360] Speed: 883.00 samples/sec accuracy=0.217773 top_k_accuracy_5=0.429688 | |
| Epoch[4] Batch [4380] Speed: 886.62 samples/sec accuracy=0.218164 top_k_accuracy_5=0.431836 | |
| Epoch[4] Batch [4400] Speed: 886.65 samples/sec accuracy=0.220703 top_k_accuracy_5=0.440039 | |
| Epoch[4] Batch [4420] Speed: 868.57 samples/sec accuracy=0.222656 top_k_accuracy_5=0.436914 | |
| Epoch[4] Batch [4440] Speed: 877.00 samples/sec accuracy=0.236328 top_k_accuracy_5=0.445898 | |
| Epoch[4] Batch [4460] Speed: 892.10 samples/sec accuracy=0.220508 top_k_accuracy_5=0.443359 | |
| Epoch[4] Batch [4480] Speed: 896.83 samples/sec accuracy=0.223438 top_k_accuracy_5=0.438086 | |
| Epoch[4] Batch [4500] Speed: 874.46 samples/sec accuracy=0.226562 top_k_accuracy_5=0.435156 | |
| Epoch[4] Batch [4520] Speed: 872.46 samples/sec accuracy=0.226562 top_k_accuracy_5=0.436133 | |
| Epoch[4] Batch [4540] Speed: 874.88 samples/sec accuracy=0.229883 top_k_accuracy_5=0.438867 | |
| Epoch[4] Batch [4560] Speed: 892.66 samples/sec accuracy=0.228516 top_k_accuracy_5=0.431445 | |
| Epoch[4] Batch [4580] Speed: 891.10 samples/sec accuracy=0.231836 top_k_accuracy_5=0.454688 | |
| Epoch[4] Batch [4600] Speed: 879.69 samples/sec accuracy=0.211328 top_k_accuracy_5=0.429688 | |
| Epoch[4] Batch [4620] Speed: 907.39 samples/sec accuracy=0.230078 top_k_accuracy_5=0.447070 | |
| Epoch[4] Batch [4640] Speed: 886.83 samples/sec accuracy=0.225391 top_k_accuracy_5=0.439063 | |
| Epoch[4] Batch [4660] Speed: 876.52 samples/sec accuracy=0.217188 top_k_accuracy_5=0.434375 | |
| Epoch[4] Batch [4680] Speed: 910.06 samples/sec accuracy=0.230859 top_k_accuracy_5=0.449219 | |
| Epoch[4] Batch [4700] Speed: 914.86 samples/sec accuracy=0.220117 top_k_accuracy_5=0.429688 | |
| Epoch[4] Batch [4720] Speed: 895.17 samples/sec accuracy=0.225195 top_k_accuracy_5=0.446680 | |
| Epoch[4] Batch [4740] Speed: 898.79 samples/sec accuracy=0.228711 top_k_accuracy_5=0.433984 | |
| Epoch[4] Batch [4760] Speed: 885.72 samples/sec accuracy=0.218359 top_k_accuracy_5=0.436328 | |
| Epoch[4] Batch [4780] Speed: 874.42 samples/sec accuracy=0.229687 top_k_accuracy_5=0.448437 | |
| Epoch[4] Batch [4800] Speed: 871.18 samples/sec accuracy=0.232422 top_k_accuracy_5=0.452734 | |
| Epoch[4] Batch [4820] Speed: 863.31 samples/sec accuracy=0.227930 top_k_accuracy_5=0.430859 | |
| Epoch[4] Batch [4840] Speed: 893.89 samples/sec accuracy=0.237695 top_k_accuracy_5=0.450586 | |
| Epoch[4] Batch [4860] Speed: 883.47 samples/sec accuracy=0.226953 top_k_accuracy_5=0.441211 | |
| Epoch[4] Batch [4880] Speed: 876.98 samples/sec accuracy=0.219922 top_k_accuracy_5=0.432812 | |
| Epoch[4] Batch [4900] Speed: 872.81 samples/sec accuracy=0.235352 top_k_accuracy_5=0.456641 | |
| Epoch[4] Batch [4920] Speed: 894.64 samples/sec accuracy=0.216016 top_k_accuracy_5=0.433203 | |
| Epoch[4] Batch [4940] Speed: 900.37 samples/sec accuracy=0.227930 top_k_accuracy_5=0.447070 | |
| Epoch[4] Batch [4960] Speed: 884.86 samples/sec accuracy=0.219922 top_k_accuracy_5=0.438672 | |
| Epoch[4] Batch [4980] Speed: 863.97 samples/sec accuracy=0.225977 top_k_accuracy_5=0.436523 | |
| Epoch[4] Batch [5000] Speed: 901.79 samples/sec accuracy=0.231836 top_k_accuracy_5=0.448828 | |
| Epoch[4] Train-accuracy=0.230469 | |
| Epoch[4] Train-top_k_accuracy_5=0.429688 | |
| Epoch[4] Time cost=1439.941 | |
| Saved checkpoint to "model/resnet18-0005.params" | |
| Epoch[4] Validation-accuracy=0.293830 | |
| Epoch[4] Validation-top_k_accuracy_5=0.544972 | |
| Epoch[5] Batch [20] Speed: 856.77 samples/sec accuracy=0.227865 top_k_accuracy_5=0.444940 | |
| Epoch[5] Batch [40] Speed: 874.51 samples/sec accuracy=0.232813 top_k_accuracy_5=0.461133 | |
| Epoch[5] Batch [60] Speed: 875.88 samples/sec accuracy=0.226367 top_k_accuracy_5=0.441602 | |
| Epoch[5] Batch [80] Speed: 890.73 samples/sec accuracy=0.219531 top_k_accuracy_5=0.451758 | |
| Epoch[5] Batch [100] Speed: 900.27 samples/sec accuracy=0.224805 top_k_accuracy_5=0.447461 | |
| Epoch[5] Batch [120] Speed: 881.09 samples/sec accuracy=0.219141 top_k_accuracy_5=0.440820 | |
| Epoch[5] Batch [140] Speed: 878.08 samples/sec accuracy=0.236328 top_k_accuracy_5=0.449805 | |
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| Epoch[5] Batch [180] Speed: 862.95 samples/sec accuracy=0.227344 top_k_accuracy_5=0.445117 | |
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| Epoch[5] Batch [300] Speed: 876.99 samples/sec accuracy=0.211719 top_k_accuracy_5=0.434961 | |
| Epoch[5] Batch [320] Speed: 900.47 samples/sec accuracy=0.216797 top_k_accuracy_5=0.430273 | |
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| Epoch[5] Batch [400] Speed: 880.50 samples/sec accuracy=0.230273 top_k_accuracy_5=0.448242 | |
| Epoch[5] Batch [420] Speed: 900.32 samples/sec accuracy=0.224219 top_k_accuracy_5=0.438477 | |
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| Epoch[5] Batch [500] Speed: 884.06 samples/sec accuracy=0.229297 top_k_accuracy_5=0.441016 | |
| Epoch[5] Batch [520] Speed: 883.01 samples/sec accuracy=0.220703 top_k_accuracy_5=0.439453 | |
| Epoch[5] Batch [540] Speed: 880.73 samples/sec accuracy=0.234375 top_k_accuracy_5=0.456250 | |
| Epoch[5] Batch [560] Speed: 868.83 samples/sec accuracy=0.220117 top_k_accuracy_5=0.437695 | |
| Epoch[5] Batch [580] Speed: 901.60 samples/sec accuracy=0.216992 top_k_accuracy_5=0.433203 | |
| Epoch[5] Batch [600] Speed: 885.58 samples/sec accuracy=0.225391 top_k_accuracy_5=0.431055 | |
| Epoch[5] Batch [620] Speed: 874.25 samples/sec accuracy=0.214648 top_k_accuracy_5=0.433984 | |
| Epoch[5] Batch [640] Speed: 888.97 samples/sec accuracy=0.232617 top_k_accuracy_5=0.442773 | |
| Epoch[5] Batch [660] Speed: 883.51 samples/sec accuracy=0.228516 top_k_accuracy_5=0.433008 | |
| Epoch[5] Batch [680] Speed: 896.52 samples/sec accuracy=0.225586 top_k_accuracy_5=0.446680 | |
| Epoch[5] Batch [700] Speed: 886.30 samples/sec accuracy=0.221680 top_k_accuracy_5=0.444727 | |
| Epoch[5] Batch [720] Speed: 897.44 samples/sec accuracy=0.225586 top_k_accuracy_5=0.437695 | |
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| Epoch[5] Batch [760] Speed: 885.76 samples/sec accuracy=0.228125 top_k_accuracy_5=0.459375 | |
| Epoch[5] Batch [780] Speed: 881.58 samples/sec accuracy=0.225391 top_k_accuracy_5=0.438281 | |
| Epoch[5] Batch [800] Speed: 884.95 samples/sec accuracy=0.220703 top_k_accuracy_5=0.441406 | |
| Epoch[5] Batch [820] Speed: 878.09 samples/sec accuracy=0.224023 top_k_accuracy_5=0.437305 | |
| Epoch[5] Batch [840] Speed: 871.59 samples/sec accuracy=0.236328 top_k_accuracy_5=0.454492 | |
| Epoch[5] Batch [860] Speed: 868.08 samples/sec accuracy=0.225391 top_k_accuracy_5=0.442578 | |
| Epoch[5] Batch [880] Speed: 860.42 samples/sec accuracy=0.225977 top_k_accuracy_5=0.448828 | |
| Epoch[5] Batch [900] Speed: 891.23 samples/sec accuracy=0.226562 top_k_accuracy_5=0.437695 | |
| Epoch[5] Batch [920] Speed: 887.22 samples/sec accuracy=0.223242 top_k_accuracy_5=0.442773 | |
| Epoch[5] Batch [940] Speed: 887.04 samples/sec accuracy=0.219922 top_k_accuracy_5=0.434766 | |
| Epoch[5] Batch [960] Speed: 881.24 samples/sec accuracy=0.228711 top_k_accuracy_5=0.451758 | |
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| Epoch[5] Batch [1000] Speed: 874.85 samples/sec accuracy=0.231250 top_k_accuracy_5=0.449219 | |
| Epoch[5] Batch [1020] Speed: 871.09 samples/sec accuracy=0.223633 top_k_accuracy_5=0.441992 | |
| Epoch[5] Batch [1040] Speed: 898.37 samples/sec accuracy=0.241016 top_k_accuracy_5=0.452734 | |
| Epoch[5] Batch [1060] Speed: 882.26 samples/sec accuracy=0.231250 top_k_accuracy_5=0.442188 | |
| Epoch[5] Batch [1080] Speed: 882.92 samples/sec accuracy=0.235742 top_k_accuracy_5=0.447656 | |
| Epoch[5] Batch [1100] Speed: 880.74 samples/sec accuracy=0.225391 top_k_accuracy_5=0.444141 | |
| Epoch[5] Batch [1120] Speed: 907.38 samples/sec accuracy=0.234375 top_k_accuracy_5=0.459180 | |
| Epoch[5] Batch [1140] Speed: 883.72 samples/sec accuracy=0.211328 top_k_accuracy_5=0.425781 | |
| Epoch[5] Batch [1160] Speed: 891.53 samples/sec accuracy=0.222070 top_k_accuracy_5=0.432617 | |
| Epoch[5] Batch [1180] Speed: 900.47 samples/sec accuracy=0.223047 top_k_accuracy_5=0.445312 | |
| Epoch[5] Batch [1200] Speed: 878.92 samples/sec accuracy=0.235156 top_k_accuracy_5=0.447266 | |
| Epoch[5] Batch [1220] Speed: 876.51 samples/sec accuracy=0.237695 top_k_accuracy_5=0.451562 | |
| Epoch[5] Batch [1240] Speed: 873.62 samples/sec accuracy=0.229297 top_k_accuracy_5=0.451758 | |
| Epoch[5] Batch [1260] Speed: 907.03 samples/sec accuracy=0.221289 top_k_accuracy_5=0.433594 | |
| Epoch[5] Batch [1280] Speed: 877.35 samples/sec accuracy=0.220508 top_k_accuracy_5=0.440039 | |
| Epoch[5] Batch [1300] Speed: 862.07 samples/sec accuracy=0.225586 top_k_accuracy_5=0.439648 | |
| Epoch[5] Batch [1320] Speed: 881.50 samples/sec accuracy=0.231836 top_k_accuracy_5=0.447461 | |
| Epoch[5] Batch [1340] Speed: 884.79 samples/sec accuracy=0.225391 top_k_accuracy_5=0.446484 | |
| Epoch[5] Batch [1360] Speed: 868.38 samples/sec accuracy=0.228125 top_k_accuracy_5=0.452344 | |
| Epoch[5] Batch [1380] Speed: 899.44 samples/sec accuracy=0.221484 top_k_accuracy_5=0.436133 | |
| Epoch[5] Batch [1400] Speed: 878.77 samples/sec accuracy=0.227148 top_k_accuracy_5=0.446094 | |
| Epoch[5] Batch [1420] Speed: 891.54 samples/sec accuracy=0.225781 top_k_accuracy_5=0.440820 | |
| Epoch[5] Batch [1440] Speed: 882.10 samples/sec accuracy=0.219336 top_k_accuracy_5=0.442578 | |
| Epoch[5] Batch [1460] Speed: 869.27 samples/sec accuracy=0.227148 top_k_accuracy_5=0.430078 | |
| Epoch[5] Batch [1480] Speed: 905.63 samples/sec accuracy=0.229102 top_k_accuracy_5=0.442578 | |
| Epoch[5] Batch [1500] Speed: 870.45 samples/sec accuracy=0.228516 top_k_accuracy_5=0.450000 | |
| Epoch[5] Batch [1520] Speed: 886.43 samples/sec accuracy=0.216211 top_k_accuracy_5=0.438672 | |
| Epoch[5] Batch [1540] Speed: 875.80 samples/sec accuracy=0.223438 top_k_accuracy_5=0.436133 | |
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| Epoch[5] Batch [1580] Speed: 861.57 samples/sec accuracy=0.223047 top_k_accuracy_5=0.439648 | |
| Epoch[5] Batch [1600] Speed: 893.58 samples/sec accuracy=0.227539 top_k_accuracy_5=0.447852 | |
| Epoch[5] Batch [1620] Speed: 858.97 samples/sec accuracy=0.222266 top_k_accuracy_5=0.438086 | |
| Epoch[5] Batch [1640] Speed: 891.66 samples/sec accuracy=0.224609 top_k_accuracy_5=0.442773 | |
| Epoch[5] Batch [1660] Speed: 869.44 samples/sec accuracy=0.224414 top_k_accuracy_5=0.438281 | |
| Epoch[5] Batch [1680] Speed: 873.53 samples/sec accuracy=0.242773 top_k_accuracy_5=0.455078 | |
| Epoch[5] Batch [1700] Speed: 874.63 samples/sec accuracy=0.226562 top_k_accuracy_5=0.447656 | |
| Epoch[5] Batch [1720] Speed: 876.59 samples/sec accuracy=0.232031 top_k_accuracy_5=0.450977 | |
| Epoch[5] Batch [1740] Speed: 871.19 samples/sec accuracy=0.237305 top_k_accuracy_5=0.449609 | |
| Epoch[5] Batch [1760] Speed: 894.57 samples/sec accuracy=0.225000 top_k_accuracy_5=0.445312 | |
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| Epoch[5] Batch [1800] Speed: 881.97 samples/sec accuracy=0.219727 top_k_accuracy_5=0.445703 | |
| Epoch[5] Batch [1820] Speed: 885.92 samples/sec accuracy=0.235937 top_k_accuracy_5=0.457227 | |
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| Epoch[5] Batch [1860] Speed: 874.67 samples/sec accuracy=0.233398 top_k_accuracy_5=0.444531 | |
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| Epoch[5] Batch [1900] Speed: 877.86 samples/sec accuracy=0.222852 top_k_accuracy_5=0.440234 | |
| Epoch[5] Batch [1920] Speed: 890.29 samples/sec accuracy=0.235937 top_k_accuracy_5=0.441016 | |
| Epoch[5] Batch [1940] Speed: 890.47 samples/sec accuracy=0.227930 top_k_accuracy_5=0.450781 | |
| Epoch[5] Batch [1960] Speed: 874.45 samples/sec accuracy=0.233984 top_k_accuracy_5=0.456641 | |
| Epoch[5] Batch [1980] Speed: 873.82 samples/sec accuracy=0.229297 top_k_accuracy_5=0.450781 | |
| Epoch[5] Batch [2000] Speed: 872.76 samples/sec accuracy=0.227734 top_k_accuracy_5=0.435547 | |
| Epoch[5] Batch [2020] Speed: 884.91 samples/sec accuracy=0.227148 top_k_accuracy_5=0.448828 | |
| Epoch[5] Batch [2040] Speed: 895.22 samples/sec accuracy=0.232422 top_k_accuracy_5=0.449805 | |
| Epoch[5] Batch [2060] Speed: 871.24 samples/sec accuracy=0.223438 top_k_accuracy_5=0.440430 | |
| Epoch[5] Batch [2080] Speed: 875.47 samples/sec accuracy=0.229492 top_k_accuracy_5=0.444727 | |
| Epoch[5] Batch [2100] Speed: 867.74 samples/sec accuracy=0.233789 top_k_accuracy_5=0.443359 | |
| Epoch[5] Batch [2120] Speed: 877.17 samples/sec accuracy=0.231641 top_k_accuracy_5=0.452930 | |
| Epoch[5] Batch [2140] Speed: 865.60 samples/sec accuracy=0.225000 top_k_accuracy_5=0.435937 | |
| Epoch[5] Batch [2160] Speed: 898.19 samples/sec accuracy=0.234766 top_k_accuracy_5=0.455859 | |
| Epoch[5] Batch [2180] Speed: 886.56 samples/sec accuracy=0.223828 top_k_accuracy_5=0.442188 | |
| Epoch[5] Batch [2200] Speed: 878.40 samples/sec accuracy=0.232617 top_k_accuracy_5=0.455469 | |
| Epoch[5] Batch [2220] Speed: 880.31 samples/sec accuracy=0.234375 top_k_accuracy_5=0.443750 | |
| Epoch[5] Batch [2240] Speed: 887.81 samples/sec accuracy=0.219141 top_k_accuracy_5=0.442188 | |
| Epoch[5] Batch [2260] Speed: 886.00 samples/sec accuracy=0.232617 top_k_accuracy_5=0.450586 | |
| Epoch[5] Batch [2280] Speed: 861.06 samples/sec accuracy=0.231250 top_k_accuracy_5=0.451953 | |
| Epoch[5] Batch [2300] Speed: 885.73 samples/sec accuracy=0.237305 top_k_accuracy_5=0.455078 | |
| Epoch[5] Batch [2320] Speed: 889.42 samples/sec accuracy=0.236914 top_k_accuracy_5=0.448242 | |
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| Epoch[5] Batch [2360] Speed: 864.78 samples/sec accuracy=0.221289 top_k_accuracy_5=0.432617 | |
| Epoch[5] Batch [2380] Speed: 886.44 samples/sec accuracy=0.239063 top_k_accuracy_5=0.454688 | |
| Epoch[5] Batch [2400] Speed: 878.68 samples/sec accuracy=0.230469 top_k_accuracy_5=0.443945 | |
| Epoch[5] Batch [2420] Speed: 881.54 samples/sec accuracy=0.221094 top_k_accuracy_5=0.439258 | |
| Epoch[5] Batch [2440] Speed: 867.41 samples/sec accuracy=0.232813 top_k_accuracy_5=0.446289 | |
| Epoch[5] Batch [2460] Speed: 878.30 samples/sec accuracy=0.233203 top_k_accuracy_5=0.453516 | |
| Epoch[5] Batch [2480] Speed: 879.01 samples/sec accuracy=0.223633 top_k_accuracy_5=0.429688 | |
| Epoch[5] Batch [2500] Speed: 867.30 samples/sec accuracy=0.228711 top_k_accuracy_5=0.443359 | |
| Epoch[5] Batch [2520] Speed: 875.42 samples/sec accuracy=0.234570 top_k_accuracy_5=0.455859 | |
| Epoch[5] Batch [2540] Speed: 889.33 samples/sec accuracy=0.228320 top_k_accuracy_5=0.443750 | |
| Epoch[5] Batch [2560] Speed: 890.79 samples/sec accuracy=0.215234 top_k_accuracy_5=0.437305 | |
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| Epoch[5] Batch [2600] Speed: 872.35 samples/sec accuracy=0.232813 top_k_accuracy_5=0.439844 | |
| Epoch[5] Batch [2620] Speed: 874.90 samples/sec accuracy=0.216602 top_k_accuracy_5=0.436914 | |
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| Epoch[5] Batch [2660] Speed: 872.11 samples/sec accuracy=0.236523 top_k_accuracy_5=0.450000 | |
| Epoch[5] Batch [2680] Speed: 881.15 samples/sec accuracy=0.219531 top_k_accuracy_5=0.440234 | |
| Epoch[5] Batch [2700] Speed: 897.88 samples/sec accuracy=0.225586 top_k_accuracy_5=0.445508 | |
| Epoch[5] Batch [2720] Speed: 884.68 samples/sec accuracy=0.232422 top_k_accuracy_5=0.456055 | |
| Epoch[5] Batch [2740] Speed: 873.48 samples/sec accuracy=0.229883 top_k_accuracy_5=0.451758 | |
| Epoch[5] Batch [2760] Speed: 882.96 samples/sec accuracy=0.232617 top_k_accuracy_5=0.453125 | |
| Epoch[5] Batch [2780] Speed: 873.95 samples/sec accuracy=0.241992 top_k_accuracy_5=0.455664 | |
| Epoch[5] Batch [2800] Speed: 872.57 samples/sec accuracy=0.234375 top_k_accuracy_5=0.453125 | |
| Epoch[5] Batch [2820] Speed: 880.30 samples/sec accuracy=0.232422 top_k_accuracy_5=0.446484 | |
| Epoch[5] Batch [2840] Speed: 885.74 samples/sec accuracy=0.230859 top_k_accuracy_5=0.454883 | |
| Epoch[5] Batch [2860] Speed: 877.90 samples/sec accuracy=0.244141 top_k_accuracy_5=0.458203 | |
| Epoch[5] Batch [2880] Speed: 891.92 samples/sec accuracy=0.232031 top_k_accuracy_5=0.459375 | |
| Epoch[5] Batch [2900] Speed: 896.23 samples/sec accuracy=0.221484 top_k_accuracy_5=0.441797 | |
| Epoch[5] Batch [2920] Speed: 897.28 samples/sec accuracy=0.218359 top_k_accuracy_5=0.441992 | |
| Epoch[5] Batch [2940] Speed: 876.90 samples/sec accuracy=0.233203 top_k_accuracy_5=0.452930 | |
| Epoch[5] Batch [2960] Speed: 863.25 samples/sec accuracy=0.222070 top_k_accuracy_5=0.440234 | |
| Epoch[5] Batch [2980] Speed: 883.50 samples/sec accuracy=0.233008 top_k_accuracy_5=0.456836 | |
| Epoch[5] Batch [3000] Speed: 875.86 samples/sec accuracy=0.228125 top_k_accuracy_5=0.443945 | |
| Epoch[5] Batch [3020] Speed: 876.77 samples/sec accuracy=0.235547 top_k_accuracy_5=0.457813 | |
| Epoch[5] Batch [3040] Speed: 884.63 samples/sec accuracy=0.226562 top_k_accuracy_5=0.449805 | |
| Epoch[5] Batch [3060] Speed: 885.34 samples/sec accuracy=0.230469 top_k_accuracy_5=0.452539 | |
| Epoch[5] Batch [3080] Speed: 883.48 samples/sec accuracy=0.230859 top_k_accuracy_5=0.445703 | |
| Epoch[5] Batc |
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