JZTXT

metaprint

发布时间 2023-12-14 23:40:07作者: 太好了还有脑子可以用
/home/zy/anaconda3/envs/py/bin/python /home/zy/Zarky/MetaSAug-main/cifar/MetaSAug_LDAM_train.py
dataset=cifar100
batch_size=32
num_classes=100
num_meta=100
imb_factor=0.01
test_batch_size=32
epochs=200
lr=0.1
momentum=0.9
nesterov=True
weight_decay=0.0005
no_cuda=False
split=1000
seed=42
print_freq=100
lam=0.75
gpu=0
meta_lr=0.1
save_name=name
idx=0
args.seed:42
Files already downloaded and verified
[100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100]
length of meta dataset:10000
length of train dataset: 40000
[400, 381, 364, 347, 332, 316, 302, 288, 275, 263, 251, 239, 228, 218, 208, 199, 190, 181, 173, 165, 157, 150, 143, 137, 130, 125, 119, 113, 108, 103, 99, 94, 90, 86, 82, 78, 74, 71, 68, 65, 62, 59, 56, 54, 51, 49, 47, 44, 42, 40, 39, 37, 35, 33, 32, 30, 29, 28, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 16, 15, 14, 14, 13, 12, 12, 11, 11, 10, 10, 9, 9, 8, 8, 8, 7, 7, 6, 6, 6, 6, 5, 5, 5, 5, 4, 4, 4, 4, 4]
8668
31332
8668
--------------------------------Train------------------------------------
Epoch: [0]	Batch: [0/271]	Batch Loss 6.8493 (6.8493)	Prec@1 0.000 (0.000)
--------------------------------Train------------------------------------
Epoch: [0]	Batch: [100/271]	Batch Loss 3.7982 (4.4751)	Prec@1 6.250 (6.343)
--------------------------------Train------------------------------------
Epoch: [0]	Batch: [200/271]	Batch Loss 3.9719 (4.1971)	Prec@1 6.250 (7.711)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.014 (0.014)	Loss 0.0000 (0.0000)	Prec@1 3.125 (3.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 0.000 (2.475)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 3.125 (2.317)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 0.000 (2.201)
 * Prec@1 2.180	   Error:100.000
---------------------------End Test--------------------------
cur best acc:2.18
--------------------------------Train------------------------------------
Epoch: [1]	Batch: [0/271]	Batch Loss 4.0932 (4.0932)	Prec@1 6.250 (6.250)
--------------------------------Train------------------------------------
Epoch: [1]	Batch: [100/271]	Batch Loss 3.9031 (3.7932)	Prec@1 9.375 (11.015)
--------------------------------Train------------------------------------
Epoch: [1]	Batch: [200/271]	Batch Loss 3.7161 (3.7209)	Prec@1 25.000 (12.205)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 3.125 (3.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (5.384)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (5.442)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (5.513)
 * Prec@1 5.460	   Error:93.750
---------------------------End Test--------------------------
cur best acc:5.46
--------------------------------Train------------------------------------
Epoch: [2]	Batch: [0/271]	Batch Loss 3.3167 (3.3167)	Prec@1 12.500 (12.500)
--------------------------------Train------------------------------------
Epoch: [2]	Batch: [100/271]	Batch Loss 3.4510 (3.5113)	Prec@1 25.000 (15.377)
--------------------------------Train------------------------------------
Epoch: [2]	Batch: [200/271]	Batch Loss 3.4469 (3.4915)	Prec@1 15.625 (16.651)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 9.375 (9.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 6.250 (6.683)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 3.125 (6.514)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 9.375 (6.634)
 * Prec@1 6.680	   Error:93.750
---------------------------End Test--------------------------
cur best acc:6.68
--------------------------------Train------------------------------------
Epoch: [3]	Batch: [0/271]	Batch Loss 3.5506 (3.5506)	Prec@1 18.750 (18.750)
--------------------------------Train------------------------------------
Epoch: [3]	Batch: [100/271]	Batch Loss 3.1494 (3.3316)	Prec@1 21.875 (19.307)
--------------------------------Train------------------------------------
Epoch: [3]	Batch: [200/271]	Batch Loss 3.0266 (3.3181)	Prec@1 15.625 (20.103)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 3.125 (3.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (8.385)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (7.991)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (7.922)
 * Prec@1 7.920	   Error:87.500
---------------------------End Test--------------------------
cur best acc:7.92
--------------------------------Train------------------------------------
Epoch: [4]	Batch: [0/271]	Batch Loss 3.0802 (3.0802)	Prec@1 25.000 (25.000)
--------------------------------Train------------------------------------
Epoch: [4]	Batch: [100/271]	Batch Loss 3.2923 (3.1956)	Prec@1 21.875 (22.277)
--------------------------------Train------------------------------------
Epoch: [4]	Batch: [200/271]	Batch Loss 3.7171 (3.1762)	Prec@1 12.500 (22.357)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (12.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (8.354)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (8.396)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (8.389)
 * Prec@1 8.400	   Error:81.250
---------------------------End Test--------------------------
cur best acc:8.4
--------------------------------Train------------------------------------
Epoch: [5]	Batch: [0/271]	Batch Loss 2.6853 (2.6853)	Prec@1 31.250 (31.250)
--------------------------------Train------------------------------------
Epoch: [5]	Batch: [100/271]	Batch Loss 3.0799 (3.0904)	Prec@1 21.875 (23.700)
--------------------------------Train------------------------------------
Epoch: [5]	Batch: [200/271]	Batch Loss 3.2545 (3.0656)	Prec@1 9.375 (24.192)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (9.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (9.932)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (9.655)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (9.583)
 * Prec@1 9.590	   Error:100.000
---------------------------End Test--------------------------
cur best acc:9.59
--------------------------------Train------------------------------------
Epoch: [6]	Batch: [0/271]	Batch Loss 2.9468 (2.9468)	Prec@1 37.500 (37.500)
--------------------------------Train------------------------------------
Epoch: [6]	Batch: [100/271]	Batch Loss 3.4583 (2.9593)	Prec@1 18.750 (27.351)
--------------------------------Train------------------------------------
Epoch: [6]	Batch: [200/271]	Batch Loss 2.8393 (2.9332)	Prec@1 25.000 (27.301)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (13.057)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (12.593)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (12.500)
 * Prec@1 12.520	   Error:87.500
---------------------------End Test--------------------------
cur best acc:12.52
--------------------------------Train------------------------------------
Epoch: [7]	Batch: [0/271]	Batch Loss 2.6953 (2.6953)	Prec@1 31.250 (31.250)
--------------------------------Train------------------------------------
Epoch: [7]	Batch: [100/271]	Batch Loss 2.8709 (2.8063)	Prec@1 15.625 (29.641)
--------------------------------Train------------------------------------
Epoch: [7]	Batch: [200/271]	Batch Loss 3.2785 (2.8258)	Prec@1 12.500 (28.887)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (12.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (11.108)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (10.821)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 3.125 (10.787)
 * Prec@1 10.770	   Error:93.750
---------------------------End Test--------------------------
cur best acc:12.52
--------------------------------Train------------------------------------
Epoch: [8]	Batch: [0/271]	Batch Loss 2.4756 (2.4756)	Prec@1 28.125 (28.125)
--------------------------------Train------------------------------------
Epoch: [8]	Batch: [100/271]	Batch Loss 2.3712 (2.7120)	Prec@1 37.500 (30.538)
--------------------------------Train------------------------------------
Epoch: [8]	Batch: [200/271]	Batch Loss 3.0507 (2.7097)	Prec@1 28.125 (31.701)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (15.625)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (14.356)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (13.884)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (13.850)
 * Prec@1 13.850	   Error:87.500
---------------------------End Test--------------------------
cur best acc:13.85
--------------------------------Train------------------------------------
Epoch: [9]	Batch: [0/271]	Batch Loss 2.4447 (2.4447)	Prec@1 37.500 (37.500)
--------------------------------Train------------------------------------
Epoch: [9]	Batch: [100/271]	Batch Loss 2.9897 (2.6258)	Prec@1 25.000 (33.045)
--------------------------------Train------------------------------------
Epoch: [9]	Batch: [200/271]	Batch Loss 2.3116 (2.6440)	Prec@1 40.625 (33.085)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (14.851)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (14.521)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (14.057)
 * Prec@1 13.970	   Error:81.250
---------------------------End Test--------------------------
cur best acc:13.97
--------------------------------Train------------------------------------
Epoch: [10]	Batch: [0/271]	Batch Loss 2.2607 (2.2607)	Prec@1 43.750 (43.750)
--------------------------------Train------------------------------------
Epoch: [10]	Batch: [100/271]	Batch Loss 2.4872 (2.5083)	Prec@1 40.625 (34.715)
--------------------------------Train------------------------------------
Epoch: [10]	Batch: [200/271]	Batch Loss 2.6994 (2.5691)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (15.873)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (15.734)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (15.563)
 * Prec@1 15.520	   Error:93.750
---------------------------End Test--------------------------
cur best acc:15.52
--------------------------------Train------------------------------------
Epoch: [11]	Batch: [0/271]	Batch Loss 2.1935 (2.1935)	Prec@1 37.500 (37.500)
--------------------------------Train------------------------------------
Epoch: [11]	Batch: [100/271]	Batch Loss 3.0977 (2.4463)	Prec@1 25.000 (37.314)
--------------------------------Train------------------------------------
Epoch: [11]	Batch: [200/271]	Batch Loss 2.4869 (2.4813)	Prec@1 31.250 (36.256)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 3.125 (14.975)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (14.568)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (14.306)
 * Prec@1 14.330	   Error:75.000
---------------------------End Test--------------------------
cur best acc:15.52
--------------------------------Train------------------------------------
Epoch: [12]	Batch: [0/271]	Batch Loss 2.7577 (2.7577)	Prec@1 43.750 (43.750)
--------------------------------Train------------------------------------
Epoch: [12]	Batch: [100/271]	Batch Loss 2.2283 (2.3698)	Prec@1 37.500 (38.707)
--------------------------------Train------------------------------------
Epoch: [12]	Batch: [200/271]	Batch Loss 2.8245 (2.4227)	Prec@1 28.125 (37.780)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (18.936)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (18.626)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (18.646)
 * Prec@1 18.600	   Error:81.250
---------------------------End Test--------------------------
cur best acc:18.6
--------------------------------Train------------------------------------
Epoch: [13]	Batch: [0/271]	Batch Loss 2.8036 (2.8036)	Prec@1 28.125 (28.125)
--------------------------------Train------------------------------------
Epoch: [13]	Batch: [100/271]	Batch Loss 2.3416 (2.3389)	Prec@1 40.625 (38.645)
--------------------------------Train------------------------------------
Epoch: [13]	Batch: [200/271]	Batch Loss 2.6606 (2.3716)	Prec@1 31.250 (38.324)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 9.375 (17.698)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (17.382)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (17.006)
 * Prec@1 17.000	   Error:81.250
---------------------------End Test--------------------------
cur best acc:18.6
--------------------------------Train------------------------------------
Epoch: [14]	Batch: [0/271]	Batch Loss 2.4757 (2.4757)	Prec@1 31.250 (31.250)
--------------------------------Train------------------------------------
Epoch: [14]	Batch: [100/271]	Batch Loss 2.4159 (2.2365)	Prec@1 46.875 (41.182)
--------------------------------Train------------------------------------
Epoch: [14]	Batch: [200/271]	Batch Loss 2.2618 (2.2948)	Prec@1 40.625 (40.112)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (16.925)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (15.967)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (15.957)
 * Prec@1 15.990	   Error:81.250
---------------------------End Test--------------------------
cur best acc:18.6
--------------------------------Train------------------------------------
Epoch: [15]	Batch: [0/271]	Batch Loss 2.2494 (2.2494)	Prec@1 40.625 (40.625)
--------------------------------Train------------------------------------
Epoch: [15]	Batch: [100/271]	Batch Loss 2.9916 (2.2148)	Prec@1 25.000 (42.605)
--------------------------------Train------------------------------------
Epoch: [15]	Batch: [200/271]	Batch Loss 2.3203 (2.2724)	Prec@1 56.250 (41.511)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (16.429)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (16.433)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (16.341)
 * Prec@1 16.300	   Error:93.750
---------------------------End Test--------------------------
cur best acc:18.6
--------------------------------Train------------------------------------
Epoch: [16]	Batch: [0/271]	Batch Loss 2.7096 (2.7096)	Prec@1 34.375 (34.375)
--------------------------------Train------------------------------------
Epoch: [16]	Batch: [100/271]	Batch Loss 2.1921 (2.2802)	Prec@1 37.500 (40.347)
--------------------------------Train------------------------------------
Epoch: [16]	Batch: [200/271]	Batch Loss 2.2879 (2.2560)	Prec@1 43.750 (40.827)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 6.250 (17.915)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.113)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (18.023)
 * Prec@1 17.920	   Error:87.500
---------------------------End Test--------------------------
cur best acc:18.6
--------------------------------Train------------------------------------
Epoch: [17]	Batch: [0/271]	Batch Loss 2.6140 (2.6140)	Prec@1 34.375 (34.375)
--------------------------------Train------------------------------------
Epoch: [17]	Batch: [100/271]	Batch Loss 2.1031 (2.1570)	Prec@1 50.000 (42.048)
--------------------------------Train------------------------------------
Epoch: [17]	Batch: [200/271]	Batch Loss 1.8802 (2.1742)	Prec@1 43.750 (41.822)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (16.429)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (15.998)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (15.864)
 * Prec@1 15.800	   Error:93.750
---------------------------End Test--------------------------
cur best acc:18.6
--------------------------------Train------------------------------------
Epoch: [18]	Batch: [0/271]	Batch Loss 2.0350 (2.0350)	Prec@1 43.750 (43.750)
--------------------------------Train------------------------------------
Epoch: [18]	Batch: [100/271]	Batch Loss 2.3643 (2.1166)	Prec@1 43.750 (44.431)
--------------------------------Train------------------------------------
Epoch: [18]	Batch: [200/271]	Batch Loss 1.9242 (2.1409)	Prec@1 53.125 (43.952)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 9.375 (18.874)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (18.035)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (17.868)
 * Prec@1 17.900	   Error:87.500
---------------------------End Test--------------------------
cur best acc:18.6
--------------------------------Train------------------------------------
Epoch: [19]	Batch: [0/271]	Batch Loss 2.2324 (2.2324)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [19]	Batch: [100/271]	Batch Loss 2.3110 (2.1113)	Prec@1 40.625 (44.864)
--------------------------------Train------------------------------------
Epoch: [19]	Batch: [200/271]	Batch Loss 2.0891 (2.1303)	Prec@1 37.500 (44.450)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (13.707)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (13.899)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (13.756)
 * Prec@1 13.670	   Error:93.750
---------------------------End Test--------------------------
cur best acc:18.6
--------------------------------Train------------------------------------
Epoch: [20]	Batch: [0/271]	Batch Loss 2.6097 (2.6097)	Prec@1 34.375 (34.375)
--------------------------------Train------------------------------------
Epoch: [20]	Batch: [100/271]	Batch Loss 1.9059 (2.0699)	Prec@1 46.875 (44.988)
--------------------------------Train------------------------------------
Epoch: [20]	Batch: [200/271]	Batch Loss 1.7252 (2.0838)	Prec@1 53.125 (45.398)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.224)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (18.268)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.241)
 * Prec@1 18.200	   Error:87.500
---------------------------End Test--------------------------
cur best acc:18.6
--------------------------------Train------------------------------------
Epoch: [21]	Batch: [0/271]	Batch Loss 1.9417 (1.9417)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [21]	Batch: [100/271]	Batch Loss 1.8687 (2.0227)	Prec@1 37.500 (46.968)
--------------------------------Train------------------------------------
Epoch: [21]	Batch: [200/271]	Batch Loss 2.1473 (2.0500)	Prec@1 37.500 (46.004)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (19.028)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (19.543)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (19.508)
 * Prec@1 19.570	   Error:75.000
---------------------------End Test--------------------------
cur best acc:19.57
--------------------------------Train------------------------------------
Epoch: [22]	Batch: [0/271]	Batch Loss 2.2565 (2.2565)	Prec@1 37.500 (37.500)
--------------------------------Train------------------------------------
Epoch: [22]	Batch: [100/271]	Batch Loss 2.1831 (2.0339)	Prec@1 37.500 (46.194)
--------------------------------Train------------------------------------
Epoch: [22]	Batch: [200/271]	Batch Loss 2.1965 (2.0272)	Prec@1 37.500 (46.346)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (21.411)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.113)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (21.096)
 * Prec@1 21.030	   Error:75.000
---------------------------End Test--------------------------
cur best acc:21.03
--------------------------------Train------------------------------------
Epoch: [23]	Batch: [0/271]	Batch Loss 2.0089 (2.0089)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [23]	Batch: [100/271]	Batch Loss 1.9095 (1.9885)	Prec@1 46.875 (47.246)
--------------------------------Train------------------------------------
Epoch: [23]	Batch: [200/271]	Batch Loss 2.1913 (1.9983)	Prec@1 50.000 (47.124)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 40.625 (40.625)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (23.113)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.730)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.477)
 * Prec@1 22.460	   Error:68.750
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [24]	Batch: [0/271]	Batch Loss 1.6308 (1.6308)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [24]	Batch: [100/271]	Batch Loss 1.5474 (1.9952)	Prec@1 56.250 (47.061)
--------------------------------Train------------------------------------
Epoch: [24]	Batch: [200/271]	Batch Loss 1.8218 (1.9788)	Prec@1 53.125 (47.388)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 9.375 (22.587)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (22.201)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.010)
 * Prec@1 21.900	   Error:75.000
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [25]	Batch: [0/271]	Batch Loss 2.4701 (2.4701)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [25]	Batch: [100/271]	Batch Loss 1.8703 (1.9787)	Prec@1 50.000 (46.968)
--------------------------------Train------------------------------------
Epoch: [25]	Batch: [200/271]	Batch Loss 2.1785 (1.9533)	Prec@1 46.875 (48.010)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (21.968)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (20.787)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (20.598)
 * Prec@1 20.470	   Error:68.750
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [26]	Batch: [0/271]	Batch Loss 1.8584 (1.8584)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [26]	Batch: [100/271]	Batch Loss 1.8184 (1.9367)	Prec@1 43.750 (48.113)
--------------------------------Train------------------------------------
Epoch: [26]	Batch: [200/271]	Batch Loss 1.9794 (1.9332)	Prec@1 40.625 (48.399)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (19.276)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (18.657)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (18.719)
 * Prec@1 18.720	   Error:75.000
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [27]	Batch: [0/271]	Batch Loss 2.0241 (2.0241)	Prec@1 43.750 (43.750)
--------------------------------Train------------------------------------
Epoch: [27]	Batch: [100/271]	Batch Loss 2.1485 (1.9083)	Prec@1 34.375 (48.793)
--------------------------------Train------------------------------------
Epoch: [27]	Batch: [200/271]	Batch Loss 2.3669 (1.9191)	Prec@1 37.500 (48.632)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (20.142)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (19.574)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (20.037)
 * Prec@1 19.990	   Error:62.500
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [28]	Batch: [0/271]	Batch Loss 2.0512 (2.0512)	Prec@1 40.625 (40.625)
--------------------------------Train------------------------------------
Epoch: [28]	Batch: [100/271]	Batch Loss 1.4590 (1.8559)	Prec@1 56.250 (50.278)
--------------------------------Train------------------------------------
Epoch: [28]	Batch: [200/271]	Batch Loss 2.4246 (1.8688)	Prec@1 31.250 (50.482)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (22.401)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (22.155)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (22.093)
 * Prec@1 22.170	   Error:68.750
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [29]	Batch: [0/271]	Batch Loss 1.6609 (1.6609)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [29]	Batch: [100/271]	Batch Loss 2.1612 (1.8634)	Prec@1 50.000 (49.010)
--------------------------------Train------------------------------------
Epoch: [29]	Batch: [200/271]	Batch Loss 1.5664 (1.8943)	Prec@1 46.875 (48.896)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (19.616)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (19.108)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (19.030)
 * Prec@1 18.960	   Error:81.250
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [30]	Batch: [0/271]	Batch Loss 2.4102 (2.4102)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [30]	Batch: [100/271]	Batch Loss 1.9861 (1.8670)	Prec@1 46.875 (49.691)
--------------------------------Train------------------------------------
Epoch: [30]	Batch: [200/271]	Batch Loss 2.0766 (1.8886)	Prec@1 50.000 (49.129)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (22.061)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.404)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.927)
 * Prec@1 21.900	   Error:81.250
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [31]	Batch: [0/271]	Batch Loss 2.3175 (2.3175)	Prec@1 37.500 (37.500)
--------------------------------Train------------------------------------
Epoch: [31]	Batch: [100/271]	Batch Loss 1.5109 (1.8111)	Prec@1 59.375 (51.083)
--------------------------------Train------------------------------------
Epoch: [31]	Batch: [200/271]	Batch Loss 1.8283 (1.8329)	Prec@1 59.375 (50.404)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.442)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (20.709)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (20.473)
 * Prec@1 20.370	   Error:87.500
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [32]	Batch: [0/271]	Batch Loss 2.0784 (2.0784)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [32]	Batch: [100/271]	Batch Loss 1.7006 (1.8186)	Prec@1 56.250 (51.392)
--------------------------------Train------------------------------------
Epoch: [32]	Batch: [200/271]	Batch Loss 1.6114 (1.8489)	Prec@1 59.375 (50.684)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (20.916)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (20.569)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (20.276)
 * Prec@1 20.250	   Error:68.750
---------------------------End Test--------------------------
cur best acc:22.46
--------------------------------Train------------------------------------
Epoch: [33]	Batch: [0/271]	Batch Loss 1.7275 (1.7275)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [33]	Batch: [100/271]	Batch Loss 2.6524 (1.7930)	Prec@1 40.625 (51.640)
--------------------------------Train------------------------------------
Epoch: [33]	Batch: [200/271]	Batch Loss 2.2468 (1.8164)	Prec@1 40.625 (50.871)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (23.855)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (23.476)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (22.965)
 * Prec@1 22.850	   Error:75.000
---------------------------End Test--------------------------
cur best acc:22.85
--------------------------------Train------------------------------------
Epoch: [34]	Batch: [0/271]	Batch Loss 2.2476 (2.2476)	Prec@1 37.500 (37.500)
--------------------------------Train------------------------------------
Epoch: [34]	Batch: [100/271]	Batch Loss 1.9075 (1.7988)	Prec@1 46.875 (51.083)
--------------------------------Train------------------------------------
Epoch: [34]	Batch: [200/271]	Batch Loss 1.3637 (1.7925)	Prec@1 68.750 (51.632)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.752)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.876)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.107)
 * Prec@1 24.020	   Error:68.750
---------------------------End Test--------------------------
cur best acc:24.02
--------------------------------Train------------------------------------
Epoch: [35]	Batch: [0/271]	Batch Loss 1.3093 (1.3093)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [35]	Batch: [100/271]	Batch Loss 1.3573 (1.7660)	Prec@1 65.625 (52.692)
--------------------------------Train------------------------------------
Epoch: [35]	Batch: [200/271]	Batch Loss 1.4724 (1.7981)	Prec@1 62.500 (51.943)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 9.375 (22.710)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.730)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.560)
 * Prec@1 22.470	   Error:75.000
---------------------------End Test--------------------------
cur best acc:24.02
--------------------------------Train------------------------------------
Epoch: [36]	Batch: [0/271]	Batch Loss 1.5927 (1.5927)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [36]	Batch: [100/271]	Batch Loss 1.8692 (1.7252)	Prec@1 50.000 (54.053)
--------------------------------Train------------------------------------
Epoch: [36]	Batch: [200/271]	Batch Loss 1.8407 (1.7702)	Prec@1 53.125 (52.767)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (21.597)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (21.720)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (21.159)
 * Prec@1 21.160	   Error:75.000
---------------------------End Test--------------------------
cur best acc:24.02
--------------------------------Train------------------------------------
Epoch: [37]	Batch: [0/271]	Batch Loss 2.1094 (2.1094)	Prec@1 43.750 (43.750)
--------------------------------Train------------------------------------
Epoch: [37]	Batch: [100/271]	Batch Loss 1.6810 (1.7010)	Prec@1 59.375 (54.889)
--------------------------------Train------------------------------------
Epoch: [37]	Batch: [200/271]	Batch Loss 1.4916 (1.7790)	Prec@1 59.375 (52.550)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (22.649)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.481)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (21.937)
 * Prec@1 21.860	   Error:75.000
---------------------------End Test--------------------------
cur best acc:24.02
--------------------------------Train------------------------------------
Epoch: [38]	Batch: [0/271]	Batch Loss 1.8313 (1.8313)	Prec@1 43.750 (43.750)
--------------------------------Train------------------------------------
Epoch: [38]	Batch: [100/271]	Batch Loss 1.4588 (1.7234)	Prec@1 62.500 (53.094)
--------------------------------Train------------------------------------
Epoch: [38]	Batch: [200/271]	Batch Loss 2.0144 (1.7658)	Prec@1 46.875 (52.223)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (23.948)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (23.803)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (23.349)
 * Prec@1 23.280	   Error:75.000
---------------------------End Test--------------------------
cur best acc:24.02
--------------------------------Train------------------------------------
Epoch: [39]	Batch: [0/271]	Batch Loss 1.9445 (1.9445)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [39]	Batch: [100/271]	Batch Loss 1.7639 (1.7251)	Prec@1 43.750 (54.177)
--------------------------------Train------------------------------------
Epoch: [39]	Batch: [200/271]	Batch Loss 1.6909 (1.7374)	Prec@1 59.375 (53.218)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (24.814)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.269)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.055)
 * Prec@1 24.010	   Error:81.250
---------------------------End Test--------------------------
cur best acc:24.02
--------------------------------Train------------------------------------
Epoch: [40]	Batch: [0/271]	Batch Loss 1.9383 (1.9383)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [40]	Batch: [100/271]	Batch Loss 1.8644 (1.7361)	Prec@1 50.000 (52.290)
--------------------------------Train------------------------------------
Epoch: [40]	Batch: [200/271]	Batch Loss 1.6812 (1.7606)	Prec@1 65.625 (52.192)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (20.823)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.008 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.626)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (21.377)
 * Prec@1 21.340	   Error:81.250
---------------------------End Test--------------------------
cur best acc:24.02
--------------------------------Train------------------------------------
Epoch: [41]	Batch: [0/271]	Batch Loss 1.4832 (1.4832)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [41]	Batch: [100/271]	Batch Loss 1.6736 (1.7139)	Prec@1 53.125 (53.651)
--------------------------------Train------------------------------------
Epoch: [41]	Batch: [200/271]	Batch Loss 1.6896 (1.7336)	Prec@1 56.250 (53.389)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.845)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.358)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.720)
 * Prec@1 24.760	   Error:81.250
---------------------------End Test--------------------------
cur best acc:24.76
--------------------------------Train------------------------------------
Epoch: [42]	Batch: [0/271]	Batch Loss 1.5572 (1.5572)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [42]	Batch: [100/271]	Batch Loss 1.9744 (1.6950)	Prec@1 50.000 (54.517)
--------------------------------Train------------------------------------
Epoch: [42]	Batch: [200/271]	Batch Loss 1.7695 (1.7128)	Prec@1 53.125 (54.011)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (26.609)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.508)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (26.173)
 * Prec@1 26.130	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [43]	Batch: [0/271]	Batch Loss 2.0470 (2.0470)	Prec@1 43.750 (43.750)
--------------------------------Train------------------------------------
Epoch: [43]	Batch: [100/271]	Batch Loss 2.5107 (1.6758)	Prec@1 34.375 (54.084)
--------------------------------Train------------------------------------
Epoch: [43]	Batch: [200/271]	Batch Loss 1.3879 (1.6926)	Prec@1 56.250 (53.980)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (24.722)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.627)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.003)
 * Prec@1 23.940	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [44]	Batch: [0/271]	Batch Loss 1.6503 (1.6503)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [44]	Batch: [100/271]	Batch Loss 1.1606 (1.6762)	Prec@1 71.875 (54.672)
--------------------------------Train------------------------------------
Epoch: [44]	Batch: [200/271]	Batch Loss 1.7389 (1.6964)	Prec@1 53.125 (54.104)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.226)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.347)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (23.931)
 * Prec@1 23.820	   Error:68.750
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [45]	Batch: [0/271]	Batch Loss 1.4951 (1.4951)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [45]	Batch: [100/271]	Batch Loss 1.5002 (1.6739)	Prec@1 62.500 (54.363)
--------------------------------Train------------------------------------
Epoch: [45]	Batch: [200/271]	Batch Loss 1.6942 (1.7105)	Prec@1 56.250 (54.182)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (23.793)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (23.445)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (22.841)
 * Prec@1 22.820	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [46]	Batch: [0/271]	Batch Loss 1.2108 (1.2108)	Prec@1 75.000 (75.000)
--------------------------------Train------------------------------------
Epoch: [46]	Batch: [100/271]	Batch Loss 1.9924 (1.6179)	Prec@1 53.125 (55.972)
--------------------------------Train------------------------------------
Epoch: [46]	Batch: [200/271]	Batch Loss 1.6836 (1.6926)	Prec@1 56.250 (54.447)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 40.625 (40.625)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (25.650)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (25.187)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.252)
 * Prec@1 24.070	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [47]	Batch: [0/271]	Batch Loss 1.1831 (1.1831)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [47]	Batch: [100/271]	Batch Loss 1.7351 (1.6753)	Prec@1 50.000 (53.218)
--------------------------------Train------------------------------------
Epoch: [47]	Batch: [200/271]	Batch Loss 1.1228 (1.6870)	Prec@1 68.750 (53.389)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (25.278)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 43.750 (25.933)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.395)
 * Prec@1 25.380	   Error:68.750
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [48]	Batch: [0/271]	Batch Loss 1.6955 (1.6955)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [48]	Batch: [100/271]	Batch Loss 2.7033 (1.6563)	Prec@1 40.625 (54.084)
--------------------------------Train------------------------------------
Epoch: [48]	Batch: [200/271]	Batch Loss 1.8764 (1.6993)	Prec@1 43.750 (53.794)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (20.637)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (20.398)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (20.027)
 * Prec@1 19.990	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [49]	Batch: [0/271]	Batch Loss 2.3190 (2.3190)	Prec@1 37.500 (37.500)
--------------------------------Train------------------------------------
Epoch: [49]	Batch: [100/271]	Batch Loss 1.1771 (1.6569)	Prec@1 78.125 (55.353)
--------------------------------Train------------------------------------
Epoch: [49]	Batch: [200/271]	Batch Loss 1.2822 (1.6906)	Prec@1 62.500 (54.757)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (25.804)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 40.625 (25.746)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.550)
 * Prec@1 25.470	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [50]	Batch: [0/271]	Batch Loss 2.2207 (2.2207)	Prec@1 34.375 (34.375)
--------------------------------Train------------------------------------
Epoch: [50]	Batch: [100/271]	Batch Loss 2.0146 (1.6349)	Prec@1 53.125 (56.064)
--------------------------------Train------------------------------------
Epoch: [50]	Batch: [200/271]	Batch Loss 1.8901 (1.6611)	Prec@1 50.000 (55.115)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.041)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.145)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.118)
 * Prec@1 24.080	   Error:68.750
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [51]	Batch: [0/271]	Batch Loss 1.7253 (1.7253)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [51]	Batch: [100/271]	Batch Loss 1.5500 (1.6470)	Prec@1 62.500 (55.260)
--------------------------------Train------------------------------------
Epoch: [51]	Batch: [200/271]	Batch Loss 1.4356 (1.6766)	Prec@1 65.625 (54.960)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (23.484)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 37.500 (23.352)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (23.131)
 * Prec@1 23.170	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [52]	Batch: [0/271]	Batch Loss 1.3266 (1.3266)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [52]	Batch: [100/271]	Batch Loss 2.0488 (1.7079)	Prec@1 43.750 (54.332)
--------------------------------Train------------------------------------
Epoch: [52]	Batch: [200/271]	Batch Loss 1.7308 (1.7050)	Prec@1 46.875 (54.571)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (23.205)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.994)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.654)
 * Prec@1 22.620	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [53]	Batch: [0/271]	Batch Loss 1.7170 (1.7170)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [53]	Batch: [100/271]	Batch Loss 1.5493 (1.6251)	Prec@1 59.375 (55.074)
--------------------------------Train------------------------------------
Epoch: [53]	Batch: [200/271]	Batch Loss 2.1057 (1.6495)	Prec@1 43.750 (54.851)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (23.267)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (23.943)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (23.547)
 * Prec@1 23.610	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [54]	Batch: [0/271]	Batch Loss 1.4613 (1.4613)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [54]	Batch: [100/271]	Batch Loss 1.5615 (1.6054)	Prec@1 50.000 (56.219)
--------------------------------Train------------------------------------
Epoch: [54]	Batch: [200/271]	Batch Loss 1.2730 (1.6496)	Prec@1 59.375 (55.271)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (22.649)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.901)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.654)
 * Prec@1 22.600	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [55]	Batch: [0/271]	Batch Loss 1.3283 (1.3283)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [55]	Batch: [100/271]	Batch Loss 1.9384 (1.5871)	Prec@1 50.000 (56.745)
--------------------------------Train------------------------------------
Epoch: [55]	Batch: [200/271]	Batch Loss 1.5482 (1.6505)	Prec@1 53.125 (54.913)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (20.885)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (21.922)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (21.771)
 * Prec@1 21.670	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [56]	Batch: [0/271]	Batch Loss 1.6669 (1.6669)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [56]	Batch: [100/271]	Batch Loss 1.8181 (1.5716)	Prec@1 53.125 (57.488)
--------------------------------Train------------------------------------
Epoch: [56]	Batch: [200/271]	Batch Loss 1.5901 (1.6188)	Prec@1 56.250 (56.297)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.567)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.456)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.118)
 * Prec@1 24.100	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [57]	Batch: [0/271]	Batch Loss 1.8667 (1.8667)	Prec@1 43.750 (43.750)
--------------------------------Train------------------------------------
Epoch: [57]	Batch: [100/271]	Batch Loss 1.3757 (1.6027)	Prec@1 59.375 (56.064)
--------------------------------Train------------------------------------
Epoch: [57]	Batch: [200/271]	Batch Loss 2.2397 (1.6381)	Prec@1 37.500 (55.535)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (22.587)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.823)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (22.166)
 * Prec@1 22.060	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [58]	Batch: [0/271]	Batch Loss 1.7741 (1.7741)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [58]	Batch: [100/271]	Batch Loss 1.7427 (1.5850)	Prec@1 46.875 (56.095)
--------------------------------Train------------------------------------
Epoch: [58]	Batch: [200/271]	Batch Loss 1.3060 (1.6087)	Prec@1 65.625 (55.737)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.196)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (23.834)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (23.754)
 * Prec@1 23.720	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [59]	Batch: [0/271]	Batch Loss 1.5677 (1.5677)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [59]	Batch: [100/271]	Batch Loss 1.8790 (1.5783)	Prec@1 53.125 (56.683)
--------------------------------Train------------------------------------
Epoch: [59]	Batch: [200/271]	Batch Loss 1.7069 (1.6281)	Prec@1 59.375 (55.659)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.309)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (25.047)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.657)
 * Prec@1 24.620	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [60]	Batch: [0/271]	Batch Loss 1.5519 (1.5519)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [60]	Batch: [100/271]	Batch Loss 1.6638 (1.5704)	Prec@1 53.125 (56.962)
--------------------------------Train------------------------------------
Epoch: [60]	Batch: [200/271]	Batch Loss 1.9805 (1.6267)	Prec@1 56.250 (56.048)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (26.238)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.653)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (25.114)
 * Prec@1 25.220	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [61]	Batch: [0/271]	Batch Loss 1.6556 (1.6556)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [61]	Batch: [100/271]	Batch Loss 2.4746 (1.5445)	Prec@1 28.125 (57.302)
--------------------------------Train------------------------------------
Epoch: [61]	Batch: [200/271]	Batch Loss 2.0903 (1.6244)	Prec@1 59.375 (55.068)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (25.124)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.969)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.803)
 * Prec@1 24.760	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [62]	Batch: [0/271]	Batch Loss 1.6556 (1.6556)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [62]	Batch: [100/271]	Batch Loss 1.8700 (1.4982)	Prec@1 53.125 (58.385)
--------------------------------Train------------------------------------
Epoch: [62]	Batch: [200/271]	Batch Loss 1.5000 (1.5853)	Prec@1 59.375 (56.374)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (23.360)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (23.445)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (23.474)
 * Prec@1 23.470	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [63]	Batch: [0/271]	Batch Loss 1.7188 (1.7188)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [63]	Batch: [100/271]	Batch Loss 1.4182 (1.5797)	Prec@1 65.625 (57.085)
--------------------------------Train------------------------------------
Epoch: [63]	Batch: [200/271]	Batch Loss 1.2864 (1.5963)	Prec@1 68.750 (57.058)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (25.248)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 40.625 (25.295)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (25.104)
 * Prec@1 25.080	   Error:75.000
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [64]	Batch: [0/271]	Batch Loss 1.6139 (1.6139)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [64]	Batch: [100/271]	Batch Loss 1.7968 (1.5687)	Prec@1 50.000 (56.993)
--------------------------------Train------------------------------------
Epoch: [64]	Batch: [200/271]	Batch Loss 1.6743 (1.6070)	Prec@1 43.750 (55.566)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (20.204)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (20.351)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (20.401)
 * Prec@1 20.370	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [65]	Batch: [0/271]	Batch Loss 1.5925 (1.5925)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [65]	Batch: [100/271]	Batch Loss 1.2977 (1.5616)	Prec@1 56.250 (57.054)
--------------------------------Train------------------------------------
Epoch: [65]	Batch: [200/271]	Batch Loss 1.5407 (1.5842)	Prec@1 62.500 (56.794)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.010)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.176)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.118)
 * Prec@1 23.970	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [66]	Batch: [0/271]	Batch Loss 1.5336 (1.5336)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [66]	Batch: [100/271]	Batch Loss 1.8128 (1.5522)	Prec@1 56.250 (57.673)
--------------------------------Train------------------------------------
Epoch: [66]	Batch: [200/271]	Batch Loss 1.7693 (1.5860)	Prec@1 56.250 (56.561)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.536)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (24.922)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (24.284)
 * Prec@1 24.200	   Error:81.250
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [67]	Batch: [0/271]	Batch Loss 1.2752 (1.2752)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [67]	Batch: [100/271]	Batch Loss 1.4796 (1.5621)	Prec@1 68.750 (58.075)
--------------------------------Train------------------------------------
Epoch: [67]	Batch: [200/271]	Batch Loss 1.4450 (1.6101)	Prec@1 62.500 (56.701)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (25.155)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (25.435)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (25.031)
 * Prec@1 24.990	   Error:68.750
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [68]	Batch: [0/271]	Batch Loss 1.2132 (1.2132)	Prec@1 71.875 (71.875)
--------------------------------Train------------------------------------
Epoch: [68]	Batch: [100/271]	Batch Loss 1.6746 (1.5071)	Prec@1 50.000 (58.447)
--------------------------------Train------------------------------------
Epoch: [68]	Batch: [200/271]	Batch Loss 1.8641 (1.5813)	Prec@1 43.750 (56.701)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.423)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (26.275)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (25.841)
 * Prec@1 25.750	   Error:68.750
---------------------------End Test--------------------------
cur best acc:26.13
--------------------------------Train------------------------------------
Epoch: [69]	Batch: [0/271]	Batch Loss 1.5246 (1.5246)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [69]	Batch: [100/271]	Batch Loss 0.7905 (1.5161)	Prec@1 75.000 (58.416)
--------------------------------Train------------------------------------
Epoch: [69]	Batch: [200/271]	Batch Loss 2.1895 (1.5924)	Prec@1 50.000 (56.903)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (29.517)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 40.625 (29.042)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (28.592)
 * Prec@1 28.460	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [70]	Batch: [0/271]	Batch Loss 1.2309 (1.2309)	Prec@1 75.000 (75.000)
--------------------------------Train------------------------------------
Epoch: [70]	Batch: [100/271]	Batch Loss 1.5406 (1.5665)	Prec@1 56.250 (57.085)
--------------------------------Train------------------------------------
Epoch: [70]	Batch: [200/271]	Batch Loss 1.4844 (1.5805)	Prec@1 59.375 (56.950)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.907)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 37.500 (25.016)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.782)
 * Prec@1 24.780	   Error:56.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [71]	Batch: [0/271]	Batch Loss 1.7206 (1.7206)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [71]	Batch: [100/271]	Batch Loss 2.0244 (1.5670)	Prec@1 50.000 (57.364)
--------------------------------Train------------------------------------
Epoch: [71]	Batch: [200/271]	Batch Loss 1.6693 (1.5891)	Prec@1 56.250 (56.965)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (25.309)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.218)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.886)
 * Prec@1 24.820	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [72]	Batch: [0/271]	Batch Loss 1.5215 (1.5215)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [72]	Batch: [100/271]	Batch Loss 1.8213 (1.5977)	Prec@1 50.000 (56.436)
--------------------------------Train------------------------------------
Epoch: [72]	Batch: [200/271]	Batch Loss 1.1865 (1.6150)	Prec@1 65.625 (55.986)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (23.824)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (23.756)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (23.380)
 * Prec@1 23.350	   Error:62.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [73]	Batch: [0/271]	Batch Loss 1.2062 (1.2062)	Prec@1 78.125 (78.125)
--------------------------------Train------------------------------------
Epoch: [73]	Batch: [100/271]	Batch Loss 1.0952 (1.5576)	Prec@1 71.875 (56.745)
--------------------------------Train------------------------------------
Epoch: [73]	Batch: [200/271]	Batch Loss 1.8327 (1.5940)	Prec@1 56.250 (56.701)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (15.625)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (21.424)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (21.169)
 * Prec@1 21.210	   Error:87.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [74]	Batch: [0/271]	Batch Loss 1.4710 (1.4710)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [74]	Batch: [100/271]	Batch Loss 1.8315 (1.5251)	Prec@1 53.125 (57.828)
--------------------------------Train------------------------------------
Epoch: [74]	Batch: [200/271]	Batch Loss 1.5123 (1.5779)	Prec@1 50.000 (57.074)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.008 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.226)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (23.710)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (23.536)
 * Prec@1 23.480	   Error:87.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [75]	Batch: [0/271]	Batch Loss 2.1054 (2.1054)	Prec@1 37.500 (37.500)
--------------------------------Train------------------------------------
Epoch: [75]	Batch: [100/271]	Batch Loss 1.8271 (1.5133)	Prec@1 53.125 (58.942)
--------------------------------Train------------------------------------
Epoch: [75]	Batch: [200/271]	Batch Loss 1.2568 (1.5500)	Prec@1 71.875 (57.991)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (20.328)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (20.662)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (20.380)
 * Prec@1 20.330	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [76]	Batch: [0/271]	Batch Loss 1.3649 (1.3649)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [76]	Batch: [100/271]	Batch Loss 1.7270 (1.6177)	Prec@1 46.875 (55.941)
--------------------------------Train------------------------------------
Epoch: [76]	Batch: [200/271]	Batch Loss 1.7077 (1.6053)	Prec@1 53.125 (56.266)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (25.464)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (25.451)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.886)
 * Prec@1 24.820	   Error:62.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [77]	Batch: [0/271]	Batch Loss 1.1163 (1.1163)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [77]	Batch: [100/271]	Batch Loss 1.5775 (1.4598)	Prec@1 56.250 (60.025)
--------------------------------Train------------------------------------
Epoch: [77]	Batch: [200/271]	Batch Loss 1.6285 (1.5516)	Prec@1 59.375 (57.774)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (22.772)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.528)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.415)
 * Prec@1 22.410	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [78]	Batch: [0/271]	Batch Loss 1.2354 (1.2354)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [78]	Batch: [100/271]	Batch Loss 1.9140 (1.5660)	Prec@1 53.125 (57.054)
--------------------------------Train------------------------------------
Epoch: [78]	Batch: [200/271]	Batch Loss 1.9749 (1.5439)	Prec@1 62.500 (57.525)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.938)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.487)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.252)
 * Prec@1 24.190	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [79]	Batch: [0/271]	Batch Loss 1.6234 (1.6234)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [79]	Batch: [100/271]	Batch Loss 1.3520 (1.5249)	Prec@1 62.500 (58.045)
--------------------------------Train------------------------------------
Epoch: [79]	Batch: [200/271]	Batch Loss 1.3074 (1.5764)	Prec@1 65.625 (57.043)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.423)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (26.197)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.602)
 * Prec@1 25.520	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [80]	Batch: [0/271]	Batch Loss 1.3740 (1.3740)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [80]	Batch: [100/271]	Batch Loss 1.8471 (1.5038)	Prec@1 59.375 (57.457)
--------------------------------Train------------------------------------
Epoch: [80]	Batch: [200/271]	Batch Loss 1.7443 (1.5616)	Prec@1 53.125 (56.685)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (25.526)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.751)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.097)
 * Prec@1 23.920	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [81]	Batch: [0/271]	Batch Loss 1.2427 (1.2427)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [81]	Batch: [100/271]	Batch Loss 1.6752 (1.5231)	Prec@1 56.250 (57.580)
--------------------------------Train------------------------------------
Epoch: [81]	Batch: [200/271]	Batch Loss 1.6133 (1.5645)	Prec@1 56.250 (57.494)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.660)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.456)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (23.661)
 * Prec@1 23.630	   Error:93.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [82]	Batch: [0/271]	Batch Loss 1.5570 (1.5570)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [82]	Batch: [100/271]	Batch Loss 1.7644 (1.4957)	Prec@1 56.250 (58.973)
--------------------------------Train------------------------------------
Epoch: [82]	Batch: [200/271]	Batch Loss 1.4509 (1.5779)	Prec@1 53.125 (56.919)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.485)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.586)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (25.675)
 * Prec@1 25.630	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [83]	Batch: [0/271]	Batch Loss 1.4686 (1.4686)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [83]	Batch: [100/271]	Batch Loss 1.0607 (1.5334)	Prec@1 68.750 (58.478)
--------------------------------Train------------------------------------
Epoch: [83]	Batch: [200/271]	Batch Loss 1.9458 (1.5517)	Prec@1 53.125 (57.836)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.795)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (26.912)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.267)
 * Prec@1 26.180	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [84]	Batch: [0/271]	Batch Loss 1.1090 (1.1090)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [84]	Batch: [100/271]	Batch Loss 1.5979 (1.4584)	Prec@1 59.375 (59.901)
--------------------------------Train------------------------------------
Epoch: [84]	Batch: [200/271]	Batch Loss 1.5770 (1.5385)	Prec@1 62.500 (58.364)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.928)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (25.482)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (25.125)
 * Prec@1 25.070	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [85]	Batch: [0/271]	Batch Loss 1.5446 (1.5446)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [85]	Batch: [100/271]	Batch Loss 1.8705 (1.5381)	Prec@1 56.250 (58.045)
--------------------------------Train------------------------------------
Epoch: [85]	Batch: [200/271]	Batch Loss 1.8725 (1.5474)	Prec@1 46.875 (57.898)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.619)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (25.295)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.813)
 * Prec@1 24.750	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [86]	Batch: [0/271]	Batch Loss 1.5849 (1.5849)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [86]	Batch: [100/271]	Batch Loss 1.4234 (1.4987)	Prec@1 68.750 (58.447)
--------------------------------Train------------------------------------
Epoch: [86]	Batch: [200/271]	Batch Loss 1.7723 (1.5731)	Prec@1 59.375 (56.887)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (24.907)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (25.140)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (25.042)
 * Prec@1 25.060	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [87]	Batch: [0/271]	Batch Loss 1.3042 (1.3042)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [87]	Batch: [100/271]	Batch Loss 1.8717 (1.5203)	Prec@1 53.125 (58.509)
--------------------------------Train------------------------------------
Epoch: [87]	Batch: [200/271]	Batch Loss 1.8161 (1.5433)	Prec@1 46.875 (57.665)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (23.917)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (23.943)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (23.598)
 * Prec@1 23.530	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [88]	Batch: [0/271]	Batch Loss 1.5720 (1.5720)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [88]	Batch: [100/271]	Batch Loss 1.6934 (1.4848)	Prec@1 56.250 (59.220)
--------------------------------Train------------------------------------
Epoch: [88]	Batch: [200/271]	Batch Loss 1.2889 (1.5188)	Prec@1 62.500 (58.396)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.010)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 37.500 (23.974)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (23.754)
 * Prec@1 23.760	   Error:87.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [89]	Batch: [0/271]	Batch Loss 0.9574 (0.9574)	Prec@1 75.000 (75.000)
--------------------------------Train------------------------------------
Epoch: [89]	Batch: [100/271]	Batch Loss 1.5779 (1.5600)	Prec@1 59.375 (57.085)
--------------------------------Train------------------------------------
Epoch: [89]	Batch: [200/271]	Batch Loss 1.1857 (1.5399)	Prec@1 71.875 (57.743)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (22.649)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (22.108)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (21.688)
 * Prec@1 21.580	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [90]	Batch: [0/271]	Batch Loss 1.4353 (1.4353)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [90]	Batch: [100/271]	Batch Loss 1.4260 (1.4846)	Prec@1 59.375 (59.097)
--------------------------------Train------------------------------------
Epoch: [90]	Batch: [200/271]	Batch Loss 1.9412 (1.5543)	Prec@1 46.875 (57.058)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (27.073)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (26.632)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.152)
 * Prec@1 26.060	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [91]	Batch: [0/271]	Batch Loss 1.3730 (1.3730)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [91]	Batch: [100/271]	Batch Loss 2.1509 (1.4458)	Prec@1 43.750 (59.777)
--------------------------------Train------------------------------------
Epoch: [91]	Batch: [200/271]	Batch Loss 1.8989 (1.5311)	Prec@1 50.000 (58.131)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.010 (0.010)	Loss 0.0000 (0.0000)	Prec@1 15.625 (25.248)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.010 (0.010)	Loss 0.0000 (0.0000)	Prec@1 34.375 (24.984)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.010 (0.010)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.419)
 * Prec@1 24.480	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [92]	Batch: [0/271]	Batch Loss 1.4649 (1.4649)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [92]	Batch: [100/271]	Batch Loss 1.4166 (1.5185)	Prec@1 59.375 (57.828)
--------------------------------Train------------------------------------
Epoch: [92]	Batch: [200/271]	Batch Loss 1.5795 (1.5433)	Prec@1 53.125 (57.634)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (21.256)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (20.927)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (20.775)
 * Prec@1 20.700	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [93]	Batch: [0/271]	Batch Loss 1.1845 (1.1845)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [93]	Batch: [100/271]	Batch Loss 1.2331 (1.4991)	Prec@1 68.750 (59.066)
--------------------------------Train------------------------------------
Epoch: [93]	Batch: [200/271]	Batch Loss 1.3108 (1.5489)	Prec@1 68.750 (58.038)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.145)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.042)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (25.903)
 * Prec@1 25.850	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [94]	Batch: [0/271]	Batch Loss 1.2500 (1.2500)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [94]	Batch: [100/271]	Batch Loss 1.3608 (1.4965)	Prec@1 59.375 (58.725)
--------------------------------Train------------------------------------
Epoch: [94]	Batch: [200/271]	Batch Loss 1.1750 (1.5357)	Prec@1 68.750 (58.209)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (23.824)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.192)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (24.201)
 * Prec@1 24.150	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [95]	Batch: [0/271]	Batch Loss 1.6281 (1.6281)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [95]	Batch: [100/271]	Batch Loss 1.6317 (1.4845)	Prec@1 50.000 (58.632)
--------------------------------Train------------------------------------
Epoch: [95]	Batch: [200/271]	Batch Loss 1.3114 (1.5080)	Prec@1 59.375 (58.302)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (25.278)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (25.078)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.114)
 * Prec@1 24.900	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [96]	Batch: [0/271]	Batch Loss 1.1836 (1.1836)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [96]	Batch: [100/271]	Batch Loss 1.6835 (1.5070)	Prec@1 50.000 (58.601)
--------------------------------Train------------------------------------
Epoch: [96]	Batch: [200/271]	Batch Loss 2.0077 (1.5454)	Prec@1 46.875 (57.634)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.103)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (23.974)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (23.048)
 * Prec@1 23.010	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [97]	Batch: [0/271]	Batch Loss 1.3196 (1.3196)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [97]	Batch: [100/271]	Batch Loss 2.1336 (1.5148)	Prec@1 46.875 (58.416)
--------------------------------Train------------------------------------
Epoch: [97]	Batch: [200/271]	Batch Loss 1.6833 (1.5526)	Prec@1 46.875 (57.323)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.835)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.669)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.052)
 * Prec@1 24.990	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [98]	Batch: [0/271]	Batch Loss 1.3940 (1.3940)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [98]	Batch: [100/271]	Batch Loss 1.6556 (1.5133)	Prec@1 53.125 (58.540)
--------------------------------Train------------------------------------
Epoch: [98]	Batch: [200/271]	Batch Loss 2.0678 (1.5507)	Prec@1 46.875 (57.603)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.743)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.093)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.979)
 * Prec@1 24.900	   Error:62.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [99]	Batch: [0/271]	Batch Loss 1.4514 (1.4514)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [99]	Batch: [100/271]	Batch Loss 2.4106 (1.5177)	Prec@1 34.375 (58.725)
--------------------------------Train------------------------------------
Epoch: [99]	Batch: [200/271]	Batch Loss 1.3599 (1.5360)	Prec@1 59.375 (58.349)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (23.824)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (23.585)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (23.027)
 * Prec@1 23.050	   Error:87.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [100]	Batch: [0/271]	Batch Loss 2.1249 (2.1249)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [100]	Batch: [100/271]	Batch Loss 1.3449 (1.5464)	Prec@1 68.750 (57.116)
--------------------------------Train------------------------------------
Epoch: [100]	Batch: [200/271]	Batch Loss 1.5347 (1.5409)	Prec@1 68.750 (57.836)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (20.916)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (20.973)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (21.055)
 * Prec@1 20.920	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [101]	Batch: [0/271]	Batch Loss 1.4599 (1.4599)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [101]	Batch: [100/271]	Batch Loss 1.9131 (1.4974)	Prec@1 46.875 (58.571)
--------------------------------Train------------------------------------
Epoch: [101]	Batch: [200/271]	Batch Loss 1.6394 (1.5255)	Prec@1 56.250 (58.053)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.681)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.513)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.291)
 * Prec@1 25.310	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [102]	Batch: [0/271]	Batch Loss 1.4360 (1.4360)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [102]	Batch: [100/271]	Batch Loss 1.7499 (1.4652)	Prec@1 56.250 (59.746)
--------------------------------Train------------------------------------
Epoch: [102]	Batch: [200/271]	Batch Loss 1.6027 (1.5457)	Prec@1 56.250 (57.836)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (28.527)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (28.467)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (27.824)
 * Prec@1 27.760	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [103]	Batch: [0/271]	Batch Loss 1.3524 (1.3524)	Prec@1 75.000 (75.000)
--------------------------------Train------------------------------------
Epoch: [103]	Batch: [100/271]	Batch Loss 1.3775 (1.4929)	Prec@1 59.375 (58.973)
--------------------------------Train------------------------------------
Epoch: [103]	Batch: [200/271]	Batch Loss 1.1443 (1.5243)	Prec@1 68.750 (58.193)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (21.782)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (21.486)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (20.961)
 * Prec@1 20.920	   Error:87.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [104]	Batch: [0/271]	Batch Loss 1.3836 (1.3836)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [104]	Batch: [100/271]	Batch Loss 1.5062 (1.4784)	Prec@1 62.500 (60.210)
--------------------------------Train------------------------------------
Epoch: [104]	Batch: [200/271]	Batch Loss 1.3512 (1.5120)	Prec@1 68.750 (59.033)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.145)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.529)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (25.529)
 * Prec@1 25.430	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [105]	Batch: [0/271]	Batch Loss 1.2862 (1.2862)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [105]	Batch: [100/271]	Batch Loss 2.2937 (1.4736)	Prec@1 43.750 (59.344)
--------------------------------Train------------------------------------
Epoch: [105]	Batch: [200/271]	Batch Loss 2.4205 (1.5380)	Prec@1 37.500 (58.085)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (23.700)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (23.461)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (23.661)
 * Prec@1 23.570	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [106]	Batch: [0/271]	Batch Loss 1.4114 (1.4114)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [106]	Batch: [100/271]	Batch Loss 1.6826 (1.4586)	Prec@1 50.000 (59.808)
--------------------------------Train------------------------------------
Epoch: [106]	Batch: [200/271]	Batch Loss 1.6769 (1.5274)	Prec@1 56.250 (58.162)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (26.887)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (26.508)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (26.090)
 * Prec@1 26.190	   Error:62.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [107]	Batch: [0/271]	Batch Loss 2.1519 (2.1519)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [107]	Batch: [100/271]	Batch Loss 1.5532 (1.5074)	Prec@1 53.125 (58.045)
--------------------------------Train------------------------------------
Epoch: [107]	Batch: [200/271]	Batch Loss 1.6598 (1.5344)	Prec@1 59.375 (57.587)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (26.980)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 37.500 (26.803)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.360)
 * Prec@1 26.240	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [108]	Batch: [0/271]	Batch Loss 1.3094 (1.3094)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [108]	Batch: [100/271]	Batch Loss 1.5360 (1.4994)	Prec@1 59.375 (58.973)
--------------------------------Train------------------------------------
Epoch: [108]	Batch: [200/271]	Batch Loss 1.2948 (1.5383)	Prec@1 68.750 (58.178)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (25.681)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (25.311)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.616)
 * Prec@1 24.570	   Error:87.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [109]	Batch: [0/271]	Batch Loss 1.4838 (1.4838)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [109]	Batch: [100/271]	Batch Loss 1.2424 (1.4565)	Prec@1 71.875 (59.282)
--------------------------------Train------------------------------------
Epoch: [109]	Batch: [200/271]	Batch Loss 1.8100 (1.4998)	Prec@1 50.000 (58.924)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (22.618)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.683)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (22.550)
 * Prec@1 22.580	   Error:62.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [110]	Batch: [0/271]	Batch Loss 1.5948 (1.5948)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [110]	Batch: [100/271]	Batch Loss 1.4455 (1.4458)	Prec@1 71.875 (60.922)
--------------------------------Train------------------------------------
Epoch: [110]	Batch: [200/271]	Batch Loss 1.5145 (1.5074)	Prec@1 59.375 (59.095)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 40.625 (40.625)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (27.104)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (26.741)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.246)
 * Prec@1 26.200	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [111]	Batch: [0/271]	Batch Loss 1.2507 (1.2507)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [111]	Batch: [100/271]	Batch Loss 1.6997 (1.4380)	Prec@1 59.375 (60.241)
--------------------------------Train------------------------------------
Epoch: [111]	Batch: [200/271]	Batch Loss 1.5344 (1.4973)	Prec@1 59.375 (59.173)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (22.587)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.466)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.186)
 * Prec@1 22.110	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [112]	Batch: [0/271]	Batch Loss 1.4301 (1.4301)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [112]	Batch: [100/271]	Batch Loss 2.2047 (1.4967)	Prec@1 40.625 (59.251)
--------------------------------Train------------------------------------
Epoch: [112]	Batch: [200/271]	Batch Loss 1.7878 (1.5377)	Prec@1 53.125 (58.551)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (21.040)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (20.600)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (20.806)
 * Prec@1 20.770	   Error:87.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [113]	Batch: [0/271]	Batch Loss 1.4737 (1.4737)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [113]	Batch: [100/271]	Batch Loss 1.2790 (1.5050)	Prec@1 68.750 (59.004)
--------------------------------Train------------------------------------
Epoch: [113]	Batch: [200/271]	Batch Loss 1.4795 (1.5485)	Prec@1 56.250 (57.665)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.196)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (23.539)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (23.328)
 * Prec@1 23.250	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [114]	Batch: [0/271]	Batch Loss 1.2439 (1.2439)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [114]	Batch: [100/271]	Batch Loss 2.3109 (1.4699)	Prec@1 43.750 (60.334)
--------------------------------Train------------------------------------
Epoch: [114]	Batch: [200/271]	Batch Loss 1.3748 (1.5026)	Prec@1 59.375 (59.188)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.010)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (23.663)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (23.235)
 * Prec@1 23.110	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [115]	Batch: [0/271]	Batch Loss 1.2407 (1.2407)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [115]	Batch: [100/271]	Batch Loss 1.7766 (1.4670)	Prec@1 59.375 (59.251)
--------------------------------Train------------------------------------
Epoch: [115]	Batch: [200/271]	Batch Loss 1.4964 (1.5084)	Prec@1 59.375 (58.955)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.103)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.487)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.086)
 * Prec@1 24.060	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [116]	Batch: [0/271]	Batch Loss 1.2744 (1.2744)	Prec@1 81.250 (81.250)
--------------------------------Train------------------------------------
Epoch: [116]	Batch: [100/271]	Batch Loss 1.2549 (1.4674)	Prec@1 65.625 (59.530)
--------------------------------Train------------------------------------
Epoch: [116]	Batch: [200/271]	Batch Loss 1.7541 (1.5325)	Prec@1 59.375 (58.333)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (26.578)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (26.975)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (26.661)
 * Prec@1 26.520	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [117]	Batch: [0/271]	Batch Loss 1.6634 (1.6634)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [117]	Batch: [100/271]	Batch Loss 1.6113 (1.4870)	Prec@1 56.250 (59.127)
--------------------------------Train------------------------------------
Epoch: [117]	Batch: [200/271]	Batch Loss 2.2053 (1.5391)	Prec@1 43.750 (57.727)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.938)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.425)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.118)
 * Prec@1 24.030	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [118]	Batch: [0/271]	Batch Loss 1.8101 (1.8101)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [118]	Batch: [100/271]	Batch Loss 1.8187 (1.4551)	Prec@1 40.625 (60.087)
--------------------------------Train------------------------------------
Epoch: [118]	Batch: [200/271]	Batch Loss 1.8463 (1.5075)	Prec@1 43.750 (59.033)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (25.000)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (24.922)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (24.564)
 * Prec@1 24.500	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [119]	Batch: [0/271]	Batch Loss 1.5554 (1.5554)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [119]	Batch: [100/271]	Batch Loss 1.5076 (1.5183)	Prec@1 68.750 (58.756)
--------------------------------Train------------------------------------
Epoch: [119]	Batch: [200/271]	Batch Loss 1.5774 (1.5100)	Prec@1 46.875 (59.017)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (28.744)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (28.700)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (28.312)
 * Prec@1 28.240	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [120]	Batch: [0/271]	Batch Loss 1.6622 (1.6622)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [120]	Batch: [100/271]	Batch Loss 1.3888 (1.4301)	Prec@1 65.625 (60.953)
--------------------------------Train------------------------------------
Epoch: [120]	Batch: [200/271]	Batch Loss 1.5369 (1.5119)	Prec@1 53.125 (58.644)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.001)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (27.581)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (26.973)
 * Prec@1 26.940	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [121]	Batch: [0/271]	Batch Loss 1.4407 (1.4407)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [121]	Batch: [100/271]	Batch Loss 1.6268 (1.4026)	Prec@1 56.250 (61.603)
--------------------------------Train------------------------------------
Epoch: [121]	Batch: [200/271]	Batch Loss 2.2415 (1.4718)	Prec@1 37.500 (59.857)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (22.989)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (22.777)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (22.924)
 * Prec@1 22.930	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [122]	Batch: [0/271]	Batch Loss 1.0876 (1.0876)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [122]	Batch: [100/271]	Batch Loss 1.0146 (1.4129)	Prec@1 68.750 (60.891)
--------------------------------Train------------------------------------
Epoch: [122]	Batch: [200/271]	Batch Loss 1.1765 (1.5015)	Prec@1 68.750 (58.769)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (28.527)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 37.500 (28.529)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (27.938)
 * Prec@1 27.970	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [123]	Batch: [0/271]	Batch Loss 1.4502 (1.4502)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [123]	Batch: [100/271]	Batch Loss 1.4153 (1.5196)	Prec@1 65.625 (58.694)
--------------------------------Train------------------------------------
Epoch: [123]	Batch: [200/271]	Batch Loss 2.0484 (1.5378)	Prec@1 46.875 (57.991)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (27.351)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (27.052)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.879)
 * Prec@1 26.860	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [124]	Batch: [0/271]	Batch Loss 2.2002 (2.2002)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [124]	Batch: [100/271]	Batch Loss 1.0059 (1.4854)	Prec@1 65.625 (59.220)
--------------------------------Train------------------------------------
Epoch: [124]	Batch: [200/271]	Batch Loss 1.3419 (1.5268)	Prec@1 59.375 (58.567)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.845)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.011 (0.008)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.502)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.232)
 * Prec@1 24.120	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [125]	Batch: [0/271]	Batch Loss 1.5753 (1.5753)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [125]	Batch: [100/271]	Batch Loss 1.1150 (1.4985)	Prec@1 75.000 (59.684)
--------------------------------Train------------------------------------
Epoch: [125]	Batch: [200/271]	Batch Loss 1.3034 (1.5049)	Prec@1 62.500 (58.986)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (28.063)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.187)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (27.679)
 * Prec@1 27.580	   Error:62.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [126]	Batch: [0/271]	Batch Loss 1.4048 (1.4048)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [126]	Batch: [100/271]	Batch Loss 1.2405 (1.4942)	Prec@1 68.750 (58.601)
--------------------------------Train------------------------------------
Epoch: [126]	Batch: [200/271]	Batch Loss 2.0427 (1.5248)	Prec@1 46.875 (57.976)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.009 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (25.835)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 50.000 (26.073)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (25.332)
 * Prec@1 25.350	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [127]	Batch: [0/271]	Batch Loss 1.5994 (1.5994)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [127]	Batch: [100/271]	Batch Loss 1.2942 (1.4382)	Prec@1 59.375 (59.715)
--------------------------------Train------------------------------------
Epoch: [127]	Batch: [200/271]	Batch Loss 1.7011 (1.5198)	Prec@1 53.125 (57.820)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (27.568)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (27.503)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.910)
 * Prec@1 26.810	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [128]	Batch: [0/271]	Batch Loss 1.5832 (1.5832)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [128]	Batch: [100/271]	Batch Loss 1.4139 (1.4905)	Prec@1 50.000 (58.571)
--------------------------------Train------------------------------------
Epoch: [128]	Batch: [200/271]	Batch Loss 1.6087 (1.5212)	Prec@1 59.375 (58.349)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (27.475)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (27.659)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (26.775)
 * Prec@1 26.720	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [129]	Batch: [0/271]	Batch Loss 1.5933 (1.5933)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [129]	Batch: [100/271]	Batch Loss 1.9118 (1.4227)	Prec@1 46.875 (60.551)
--------------------------------Train------------------------------------
Epoch: [129]	Batch: [200/271]	Batch Loss 2.0305 (1.4935)	Prec@1 56.250 (59.002)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.495)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (25.109)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.720)
 * Prec@1 24.620	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [130]	Batch: [0/271]	Batch Loss 1.3194 (1.3194)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [130]	Batch: [100/271]	Batch Loss 1.0265 (1.4777)	Prec@1 65.625 (59.004)
--------------------------------Train------------------------------------
Epoch: [130]	Batch: [200/271]	Batch Loss 1.9911 (1.4935)	Prec@1 40.625 (59.157)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (21.504)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.419)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (21.989)
 * Prec@1 21.930	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [131]	Batch: [0/271]	Batch Loss 1.2048 (1.2048)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [131]	Batch: [100/271]	Batch Loss 1.1121 (1.4289)	Prec@1 68.750 (60.087)
--------------------------------Train------------------------------------
Epoch: [131]	Batch: [200/271]	Batch Loss 1.9395 (1.4961)	Prec@1 53.125 (59.002)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.722)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (25.140)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.010)
 * Prec@1 25.010	   Error:62.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [132]	Batch: [0/271]	Batch Loss 1.5701 (1.5701)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [132]	Batch: [100/271]	Batch Loss 1.0625 (1.4794)	Prec@1 71.875 (58.168)
--------------------------------Train------------------------------------
Epoch: [132]	Batch: [200/271]	Batch Loss 1.3100 (1.4862)	Prec@1 62.500 (58.753)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.009 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.896)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.886)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (22.716)
 * Prec@1 22.720	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [133]	Batch: [0/271]	Batch Loss 1.1329 (1.1329)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [133]	Batch: [100/271]	Batch Loss 1.4696 (1.4480)	Prec@1 62.500 (59.653)
--------------------------------Train------------------------------------
Epoch: [133]	Batch: [200/271]	Batch Loss 1.5811 (1.4967)	Prec@1 46.875 (58.691)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (28.001)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (27.970)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 18.750 (27.699)
 * Prec@1 27.610	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [134]	Batch: [0/271]	Batch Loss 1.3589 (1.3589)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [134]	Batch: [100/271]	Batch Loss 2.0181 (1.4899)	Prec@1 43.750 (59.251)
--------------------------------Train------------------------------------
Epoch: [134]	Batch: [200/271]	Batch Loss 1.6462 (1.5270)	Prec@1 53.125 (58.489)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (27.568)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (27.534)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (27.222)
 * Prec@1 27.180	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [135]	Batch: [0/271]	Batch Loss 1.1670 (1.1670)	Prec@1 71.875 (71.875)
--------------------------------Train------------------------------------
Epoch: [135]	Batch: [100/271]	Batch Loss 1.4286 (1.4542)	Prec@1 59.375 (60.179)
--------------------------------Train------------------------------------
Epoch: [135]	Batch: [200/271]	Batch Loss 1.2997 (1.4799)	Prec@1 65.625 (59.981)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (26.640)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (26.975)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.599)
 * Prec@1 26.480	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [136]	Batch: [0/271]	Batch Loss 1.4520 (1.4520)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [136]	Batch: [100/271]	Batch Loss 1.0714 (1.4757)	Prec@1 71.875 (59.282)
--------------------------------Train------------------------------------
Epoch: [136]	Batch: [200/271]	Batch Loss 1.5533 (1.5018)	Prec@1 59.375 (58.753)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.278)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (24.782)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.439)
 * Prec@1 24.300	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [137]	Batch: [0/271]	Batch Loss 1.2376 (1.2376)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [137]	Batch: [100/271]	Batch Loss 1.9476 (1.4313)	Prec@1 46.875 (61.015)
--------------------------------Train------------------------------------
Epoch: [137]	Batch: [200/271]	Batch Loss 1.9828 (1.5070)	Prec@1 43.750 (58.784)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (28.063)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (27.627)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (27.450)
 * Prec@1 27.440	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [138]	Batch: [0/271]	Batch Loss 1.4445 (1.4445)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [138]	Batch: [100/271]	Batch Loss 1.2407 (1.4298)	Prec@1 68.750 (60.520)
--------------------------------Train------------------------------------
Epoch: [138]	Batch: [200/271]	Batch Loss 1.2829 (1.4616)	Prec@1 59.375 (59.655)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (27.104)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 37.500 (26.835)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (26.350)
 * Prec@1 26.240	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [139]	Batch: [0/271]	Batch Loss 1.1724 (1.1724)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [139]	Batch: [100/271]	Batch Loss 1.6583 (1.4243)	Prec@1 53.125 (60.365)
--------------------------------Train------------------------------------
Epoch: [139]	Batch: [200/271]	Batch Loss 1.4380 (1.4949)	Prec@1 56.250 (58.535)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 25.000 (27.259)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 46.875 (26.741)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.132)
 * Prec@1 26.070	   Error:81.250
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [140]	Batch: [0/271]	Batch Loss 1.5726 (1.5726)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [140]	Batch: [100/271]	Batch Loss 1.3643 (1.4683)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [140]	Batch: [200/271]	Batch Loss 1.3106 (1.4820)	Prec@1 68.750 (58.877)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.011 (0.008)	Loss 0.0000 (0.0000)	Prec@1 18.750 (25.000)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.078)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.927)
 * Prec@1 24.960	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [141]	Batch: [0/271]	Batch Loss 1.7615 (1.7615)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [141]	Batch: [100/271]	Batch Loss 1.2129 (1.4653)	Prec@1 68.750 (59.839)
--------------------------------Train------------------------------------
Epoch: [141]	Batch: [200/271]	Batch Loss 1.9499 (1.5051)	Prec@1 43.750 (59.080)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.906)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (21.828)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (21.813)
 * Prec@1 21.670	   Error:62.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [142]	Batch: [0/271]	Batch Loss 1.0851 (1.0851)	Prec@1 59.375 (59.375)
--------------------------------Train------------------------------------
Epoch: [142]	Batch: [100/271]	Batch Loss 1.3960 (1.4608)	Prec@1 59.375 (58.818)
--------------------------------Train------------------------------------
Epoch: [142]	Batch: [200/271]	Batch Loss 1.7470 (1.5059)	Prec@1 56.250 (58.458)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.350)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.782)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.585)
 * Prec@1 24.560	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [143]	Batch: [0/271]	Batch Loss 1.4326 (1.4326)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [143]	Batch: [100/271]	Batch Loss 1.3542 (1.4638)	Prec@1 62.500 (59.127)
--------------------------------Train------------------------------------
Epoch: [143]	Batch: [200/271]	Batch Loss 1.5524 (1.5023)	Prec@1 65.625 (58.846)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 12.500 (26.918)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (26.213)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 15.625 (25.716)
 * Prec@1 25.670	   Error:62.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [144]	Batch: [0/271]	Batch Loss 1.5350 (1.5350)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [144]	Batch: [100/271]	Batch Loss 1.9809 (1.4379)	Prec@1 50.000 (59.313)
--------------------------------Train------------------------------------
Epoch: [144]	Batch: [200/271]	Batch Loss 1.5650 (1.4711)	Prec@1 65.625 (59.422)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 18.750 (18.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.392)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (25.358)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.042)
 * Prec@1 24.980	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [145]	Batch: [0/271]	Batch Loss 1.3714 (1.3714)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [145]	Batch: [100/271]	Batch Loss 1.5009 (1.4642)	Prec@1 59.375 (58.694)
--------------------------------Train------------------------------------
Epoch: [145]	Batch: [200/271]	Batch Loss 1.6274 (1.5178)	Prec@1 62.500 (57.696)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (27.290)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.009 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (27.519)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (26.910)
 * Prec@1 26.870	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [146]	Batch: [0/271]	Batch Loss 1.2278 (1.2278)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [146]	Batch: [100/271]	Batch Loss 2.2368 (1.4705)	Prec@1 46.875 (59.282)
--------------------------------Train------------------------------------
Epoch: [146]	Batch: [200/271]	Batch Loss 0.9761 (1.5100)	Prec@1 75.000 (58.831)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 18.750 (24.288)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.285)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.273)
 * Prec@1 24.290	   Error:68.750
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [147]	Batch: [0/271]	Batch Loss 0.8982 (0.8982)	Prec@1 81.250 (81.250)
--------------------------------Train------------------------------------
Epoch: [147]	Batch: [100/271]	Batch Loss 1.2446 (1.4327)	Prec@1 65.625 (60.613)
--------------------------------Train------------------------------------
Epoch: [147]	Batch: [200/271]	Batch Loss 1.3180 (1.4993)	Prec@1 68.750 (59.297)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (23.205)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (22.886)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (22.830)
 * Prec@1 22.780	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [148]	Batch: [0/271]	Batch Loss 1.1193 (1.1193)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [148]	Batch: [100/271]	Batch Loss 1.0050 (1.4326)	Prec@1 78.125 (61.046)
--------------------------------Train------------------------------------
Epoch: [148]	Batch: [200/271]	Batch Loss 2.0159 (1.4764)	Prec@1 43.750 (59.795)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (25.588)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (25.979)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.633)
 * Prec@1 25.500	   Error:75.000
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [149]	Batch: [0/271]	Batch Loss 1.5193 (1.5193)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [149]	Batch: [100/271]	Batch Loss 2.1058 (1.4070)	Prec@1 50.000 (61.139)
--------------------------------Train------------------------------------
Epoch: [149]	Batch: [200/271]	Batch Loss 1.7695 (1.4511)	Prec@1 50.000 (59.997)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (27.321)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 37.500 (26.803)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 25.000 (26.516)
 * Prec@1 26.440	   Error:87.500
---------------------------End Test--------------------------
cur best acc:28.46
--------------------------------Train------------------------------------
Epoch: [150]	Batch: [0/271]	Batch Loss 1.4477 (1.4477)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [150]	Batch: [100/271]	Batch Loss 1.5538 (1.4399)	Prec@1 56.250 (60.613)
--------------------------------Train------------------------------------
Epoch: [150]	Batch: [200/271]	Batch Loss 1.5808 (1.4931)	Prec@1 62.500 (59.344)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (28.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (29.765)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (29.820)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (29.568)
 * Prec@1 29.570	   Error:68.750
---------------------------End Test--------------------------
cur best acc:29.57
--------------------------------Train------------------------------------
Epoch: [151]	Batch: [0/271]	Batch Loss 1.4405 (1.4405)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [151]	Batch: [100/271]	Batch Loss 1.4016 (1.3828)	Prec@1 59.375 (62.407)
--------------------------------Train------------------------------------
Epoch: [151]	Batch: [200/271]	Batch Loss 1.6198 (1.4563)	Prec@1 56.250 (60.370)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (24.412)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.611)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (24.055)
 * Prec@1 23.980	   Error:68.750
---------------------------End Test--------------------------
cur best acc:29.57
--------------------------------Train------------------------------------
Epoch: [152]	Batch: [0/271]	Batch Loss 1.9609 (1.9609)	Prec@1 50.000 (50.000)
--------------------------------Train------------------------------------
Epoch: [152]	Batch: [100/271]	Batch Loss 1.4710 (1.4324)	Prec@1 56.250 (60.458)
--------------------------------Train------------------------------------
Epoch: [152]	Batch: [200/271]	Batch Loss 1.0717 (1.5259)	Prec@1 68.750 (58.675)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (26.609)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (26.368)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (26.184)
 * Prec@1 26.190	   Error:68.750
---------------------------End Test--------------------------
cur best acc:29.57
--------------------------------Train------------------------------------
Epoch: [153]	Batch: [0/271]	Batch Loss 1.1972 (1.1972)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [153]	Batch: [100/271]	Batch Loss 1.8964 (1.4328)	Prec@1 56.250 (60.272)
--------------------------------Train------------------------------------
Epoch: [153]	Batch: [200/271]	Batch Loss 1.7461 (1.4773)	Prec@1 56.250 (58.691)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (22.587)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.777)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 28.125 (22.789)
 * Prec@1 22.720	   Error:62.500
---------------------------End Test--------------------------
cur best acc:29.57
--------------------------------Train------------------------------------
Epoch: [154]	Batch: [0/271]	Batch Loss 1.6940 (1.6940)	Prec@1 53.125 (53.125)
--------------------------------Train------------------------------------
Epoch: [154]	Batch: [100/271]	Batch Loss 1.6368 (1.4401)	Prec@1 50.000 (60.087)
--------------------------------Train------------------------------------
Epoch: [154]	Batch: [200/271]	Batch Loss 1.7742 (1.4893)	Prec@1 43.750 (58.877)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.008)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.658)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.010 (0.008)	Loss 0.0000 (0.0000)	Prec@1 25.000 (21.580)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (21.387)
 * Prec@1 21.240	   Error:81.250
---------------------------End Test--------------------------
cur best acc:29.57
--------------------------------Train------------------------------------
Epoch: [155]	Batch: [0/271]	Batch Loss 1.1364 (1.1364)	Prec@1 62.500 (62.500)
--------------------------------Train------------------------------------
Epoch: [155]	Batch: [100/271]	Batch Loss 1.8319 (1.4199)	Prec@1 62.500 (61.324)
--------------------------------Train------------------------------------
Epoch: [155]	Batch: [200/271]	Batch Loss 1.6398 (1.5091)	Prec@1 53.125 (58.831)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 31.250 (31.250)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (27.042)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (26.648)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (26.028)
 * Prec@1 25.990	   Error:75.000
---------------------------End Test--------------------------
cur best acc:29.57
--------------------------------Train------------------------------------
Epoch: [156]	Batch: [0/271]	Batch Loss 1.4289 (1.4289)	Prec@1 56.250 (56.250)
--------------------------------Train------------------------------------
Epoch: [156]	Batch: [100/271]	Batch Loss 1.2201 (1.4199)	Prec@1 62.500 (59.499)
--------------------------------Train------------------------------------
Epoch: [156]	Batch: [200/271]	Batch Loss 1.6678 (1.4842)	Prec@1 53.125 (58.567)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 37.500 (37.500)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (27.321)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 31.250 (27.736)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (27.284)
 * Prec@1 27.270	   Error:68.750
---------------------------End Test--------------------------
cur best acc:29.57
--------------------------------Train------------------------------------
Epoch: [157]	Batch: [0/271]	Batch Loss 1.2847 (1.2847)	Prec@1 68.750 (68.750)
--------------------------------Train------------------------------------
Epoch: [157]	Batch: [100/271]	Batch Loss 1.5738 (1.4521)	Prec@1 56.250 (60.241)
--------------------------------Train------------------------------------
Epoch: [157]	Batch: [200/271]	Batch Loss 1.4860 (1.5100)	Prec@1 62.500 (58.442)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 34.375 (34.375)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 28.125 (25.928)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (25.917)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 12.500 (25.457)
 * Prec@1 25.430	   Error:81.250
---------------------------End Test--------------------------
cur best acc:29.57
--------------------------------Train------------------------------------
Epoch: [158]	Batch: [0/271]	Batch Loss 1.2276 (1.2276)	Prec@1 65.625 (65.625)
--------------------------------Train------------------------------------
Epoch: [158]	Batch: [100/271]	Batch Loss 2.2387 (1.4805)	Prec@1 40.625 (59.623)
--------------------------------Train------------------------------------
Epoch: [158]	Batch: [200/271]	Batch Loss 1.1762 (1.4869)	Prec@1 68.750 (59.359)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.008 (0.008)	Loss 0.0000 (0.0000)	Prec@1 43.750 (43.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 31.250 (24.783)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 34.375 (23.958)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 25.000 (23.630)
 * Prec@1 23.620	   Error:81.250
---------------------------End Test--------------------------
cur best acc:29.57
--------------------------------Train------------------------------------
Epoch: [159]	Batch: [0/271]	Batch Loss 1.6630 (1.6630)	Prec@1 46.875 (46.875)
--------------------------------Train------------------------------------
Epoch: [159]	Batch: [100/271]	Batch Loss 1.6676 (1.4297)	Prec@1 56.250 (60.736)
--------------------------------Train------------------------------------
Epoch: [159]	Batch: [200/271]	Batch Loss 1.0369 (1.3407)	Prec@1 71.875 (63.619)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.009 (0.009)	Loss 0.0000 (0.0000)	Prec@1 46.875 (46.875)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (33.694)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 46.875 (33.427)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 28.125 (32.527)
 * Prec@1 32.540	   Error:68.750
---------------------------End Test--------------------------
cur best acc:32.54
---------------------------MetaSAug Train------------------------------------
Epoch: [160]	Batch: [0/271]	Batch Loss 3.0376 (3.0376)	Prec@1 56.250 (56.250)
---------------------------MetaSAug Train------------------------------------
Epoch: [160]	Batch: [100/271]	Batch Loss 2.7822 (3.5919)	Prec@1 75.000 (68.998)
---------------------------MetaSAug Train------------------------------------
Epoch: [160]	Batch: [200/271]	Batch Loss 3.2583 (3.5724)	Prec@1 71.875 (69.139)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.013 (0.013)	Loss 0.0000 (0.0000)	Prec@1 43.750 (43.750)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 46.875 (37.840)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 56.250 (38.417)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (37.978)
 * Prec@1 38.040	   Error:68.750
---------------------------End Test--------------------------
cur best acc:38.04
---------------------------MetaSAug Train------------------------------------
Epoch: [161]	Batch: [0/271]	Batch Loss 1.9691 (1.9691)	Prec@1 87.500 (87.500)
---------------------------MetaSAug Train------------------------------------
Epoch: [161]	Batch: [100/271]	Batch Loss 4.3504 (3.3964)	Prec@1 65.625 (70.606)
---------------------------MetaSAug Train------------------------------------
Epoch: [161]	Batch: [200/271]	Batch Loss 2.7565 (3.3510)	Prec@1 71.875 (70.336)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.012 (0.012)	Loss 0.0000 (0.0000)	Prec@1 50.000 (50.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 43.750 (40.563)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 56.250 (41.278)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.011 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (40.833)
 * Prec@1 40.870	   Error:43.750
---------------------------End Test--------------------------
cur best acc:40.87
---------------------------MetaSAug Train------------------------------------
Epoch: [162]	Batch: [0/271]	Batch Loss 3.0794 (3.0794)	Prec@1 65.625 (65.625)
---------------------------MetaSAug Train------------------------------------
Epoch: [162]	Batch: [100/271]	Batch Loss 2.8631 (3.1112)	Prec@1 68.750 (69.895)
---------------------------MetaSAug Train------------------------------------
Epoch: [162]	Batch: [200/271]	Batch Loss 2.8750 (3.0960)	Prec@1 84.375 (70.818)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.012 (0.012)	Loss 0.0000 (0.0000)	Prec@1 50.000 (50.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (42.110)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 59.375 (42.910)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 21.875 (42.442)
 * Prec@1 42.440	   Error:50.000
---------------------------End Test--------------------------
cur best acc:42.44
---------------------------MetaSAug Train------------------------------------
Epoch: [163]	Batch: [0/271]	Batch Loss 2.2161 (2.2161)	Prec@1 75.000 (75.000)
---------------------------MetaSAug Train------------------------------------
Epoch: [163]	Batch: [100/271]	Batch Loss 3.6455 (2.9568)	Prec@1 59.375 (69.864)
---------------------------MetaSAug Train------------------------------------
Epoch: [163]	Batch: [200/271]	Batch Loss 3.0415 (2.9149)	Prec@1 68.750 (70.040)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.013 (0.013)	Loss 0.0000 (0.0000)	Prec@1 53.125 (53.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (43.131)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 59.375 (44.014)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 15.625 (43.449)
 * Prec@1 43.480	   Error:50.000
---------------------------End Test--------------------------
cur best acc:43.48
---------------------------MetaSAug Train------------------------------------
Epoch: [164]	Batch: [0/271]	Batch Loss 1.5650 (1.5650)	Prec@1 90.625 (90.625)
---------------------------MetaSAug Train------------------------------------
Epoch: [164]	Batch: [100/271]	Batch Loss 2.4949 (2.8316)	Prec@1 65.625 (70.266)
---------------------------MetaSAug Train------------------------------------
Epoch: [164]	Batch: [200/271]	Batch Loss 1.9950 (2.8458)	Prec@1 75.000 (69.978)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.010 (0.010)	Loss 0.0000 (0.0000)	Prec@1 53.125 (53.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 40.625 (43.595)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 59.375 (44.372)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (43.636)
 * Prec@1 43.680	   Error:50.000
---------------------------End Test--------------------------
cur best acc:43.68
---------------------------MetaSAug Train------------------------------------
Epoch: [165]	Batch: [0/271]	Batch Loss 2.0957 (2.0957)	Prec@1 62.500 (62.500)
---------------------------MetaSAug Train------------------------------------
Epoch: [165]	Batch: [100/271]	Batch Loss 2.9152 (2.7549)	Prec@1 65.625 (70.823)
---------------------------MetaSAug Train------------------------------------
Epoch: [165]	Batch: [200/271]	Batch Loss 2.6432 (2.6866)	Prec@1 81.250 (70.864)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.011 (0.011)	Loss 0.0000 (0.0000)	Prec@1 53.125 (53.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 40.625 (44.059)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 56.250 (44.838)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (44.279)
 * Prec@1 44.280	   Error:50.000
---------------------------End Test--------------------------
cur best acc:44.28
---------------------------MetaSAug Train------------------------------------
Epoch: [166]	Batch: [0/271]	Batch Loss 2.6101 (2.6101)	Prec@1 56.250 (56.250)
---------------------------MetaSAug Train------------------------------------
Epoch: [166]	Batch: [100/271]	Batch Loss 3.7990 (2.7179)	Prec@1 78.125 (71.071)
---------------------------MetaSAug Train------------------------------------
Epoch: [166]	Batch: [200/271]	Batch Loss 1.8168 (2.7197)	Prec@1 75.000 (70.553)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.011 (0.011)	Loss 0.0000 (0.0000)	Prec@1 50.000 (50.000)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (44.864)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 56.250 (45.818)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (45.058)
 * Prec@1 45.020	   Error:43.750
---------------------------End Test--------------------------
cur best acc:45.02
---------------------------MetaSAug Train------------------------------------
Epoch: [167]	Batch: [0/271]	Batch Loss 2.8744 (2.8744)	Prec@1 71.875 (71.875)
---------------------------MetaSAug Train------------------------------------
Epoch: [167]	Batch: [100/271]	Batch Loss 3.2870 (2.7394)	Prec@1 50.000 (70.452)
---------------------------MetaSAug Train------------------------------------
Epoch: [167]	Batch: [200/271]	Batch Loss 2.2366 (2.6517)	Prec@1 62.500 (70.942)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.011 (0.011)	Loss 0.0000 (0.0000)	Prec@1 53.125 (53.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 43.750 (44.709)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.007 (0.006)	Loss 0.0000 (0.0000)	Prec@1 56.250 (45.289)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.006)	Loss 0.0000 (0.0000)	Prec@1 21.875 (44.913)
 * Prec@1 44.930	   Error:43.750
---------------------------End Test--------------------------
cur best acc:45.02
---------------------------MetaSAug Train------------------------------------
Epoch: [168]	Batch: [0/271]	Batch Loss 1.9429 (1.9429)	Prec@1 81.250 (81.250)
---------------------------MetaSAug Train------------------------------------
Epoch: [168]	Batch: [100/271]	Batch Loss 2.8778 (2.4936)	Prec@1 50.000 (71.287)
---------------------------MetaSAug Train------------------------------------
Epoch: [168]	Batch: [200/271]	Batch Loss 4.0126 (2.5229)	Prec@1 65.625 (71.098)
---------------------------Begin Test--------------------------
Test: [0/313]	Time 0.010 (0.010)	Loss 0.0000 (0.0000)	Prec@1 53.125 (53.125)
---------------------------Begin Test--------------------------
Test: [100/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 37.500 (44.585)
---------------------------Begin Test--------------------------
Test: [200/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 56.250 (45.289)
---------------------------Begin Test--------------------------
Test: [300/313]	Time 0.006 (0.007)	Loss 0.0000 (0.0000)	Prec@1 25.000 (44.850)
 * Prec@1 44.830	   Error:43.750
---------------------------End Test--------------------------
cur best acc:45.02
---------------------------MetaSAug Train------------------------------------
Epoch: [169]	Batch: [0/271]	Batch Loss 2.3166 (2.3166)	Prec@1 65.625 (65.625)