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train-2022-09-18-17_13_28.txt
Namespace(root='examples/domain_adaptation/image_classification/data/wbc', data='WBC', source=['A', 'M'], target=['W'], train_resizing='crop.resize', val_resizing='crop.resize', resize_size=224, scale=[0.8, 1.0], ratio=[0.8, 1.2], no_hflip=False, norm_mean=(0.485, 0.456, 0.406), norm_std=(0.229, 0.224, 0.225), arch='resnet18', bottleneck_dim=1024, no_pool=False, scratch=False, margin=4.0, trade_off=1.0, batch_size=32, lr=0.004, lr_gamma=0.0002, lr_decay=0.75, momentum=0.9, wd=0.0005, workers=2, epochs=20, iters_per_epoch=1000, print_freq=100, seed=1, per_class_eval=False, log='logs/mdd/WBC_AM2W', phase='train')
/p/home/jusers/starovoitovs1/juwels/projects/tlda/examples/domain_adaptation/image_classification/mdd.py:39: UserWarning: You have chosen to seed training. This will turn on the CUDNN deterministic setting, which can slow down your training considerably! You may see unexpected behavior when restarting from checkpoints.
warnings.warn('You have chosen to seed training. '
train_source_transforms: [Compose(
Compose(
CenterCrop(size=(250, 250))
RandomResizedCrop(size=(224, 224), scale=(0.8, 1.0), ratio=(0.8, 1.2), interpolation=bilinear)
)
RandomHorizontalFlip(p=0.5)
RandomVerticalFlip(p=0.5)
ToTensor()
Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))
), Compose(
Compose(
CenterCrop(size=(345, 345))
RandomResizedCrop(size=(224, 224), scale=(0.8, 1.0), ratio=(0.8, 1.2), interpolation=bilinear)
)
RandomHorizontalFlip(p=0.5)
RandomVerticalFlip(p=0.5)
ToTensor()
Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))
)]
train_target_transforms: [Compose(
Compose(
CenterCrop(size=(288, 288))
RandomResizedCrop(size=(224, 224), scale=(0.8, 1.0), ratio=(0.8, 1.2), interpolation=bilinear)
)
RandomHorizontalFlip(p=0.5)
RandomVerticalFlip(p=0.5)
ToTensor()
Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))
)]
val_transforms: [Compose(
Compose(
CenterCrop(size=(288, 288))
ResizeImage(size=(224, 224))
)
ToTensor()
Normalize(mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225))
)]
=> using model 'resnet18'
/p/software/juwelsbooster/stages/2022/software/PyTorch/1.11-gcccoremkl-11.2.0-2021.4.0-CUDA-11.5/lib/python3.9/site-packages/torch/optim/lr_scheduler.py:249: UserWarning: To get the last learning rate computed by the scheduler, please use `get_last_lr()`.
warnings.warn("To get the last learning rate computed by the scheduler, "
[0.0004, 0.004, 0.004, 0.004]
Epoch: [0][ 0/1000] Time 1.8 (1.8) Data 0.0 (0.0) Loss 12.15 (12.15) Trans Loss 9.74 (9.74) Cls Acc 9.4 (9.4)
Epoch: [0][ 100/1000] Time 0.1 (0.2) Data 0.1 (0.1) Loss 3.05 (4.67) Trans Loss 2.48 (3.44) Cls Acc 71.9 (58.3)
Epoch: [0][ 200/1000] Time 0.1 (0.2) Data 0.0 (0.1) Loss 1.85 (3.65) Trans Loss 1.32 (2.79) Cls Acc 81.2 (70.5)
Epoch: [0][ 300/1000] Time 0.1 (0.1) Data 0.0 (0.1) Loss 2.49 (3.21) Trans Loss 2.05 (2.50) Cls Acc 90.6 (75.7)
Epoch: [0][ 400/1000] Time 0.2 (0.1) Data 0.2 (0.1) Loss 2.36 (3.00) Trans Loss 1.85 (2.38) Cls Acc 78.1 (78.7)
Epoch: [0][ 500/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.08 (2.89) Trans Loss 2.47 (2.33) Cls Acc 75.0 (80.5)
Epoch: [0][ 600/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.14 (2.82) Trans Loss 1.97 (2.30) Cls Acc 93.8 (82.0)
Epoch: [0][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.57 (2.80) Trans Loss 2.21 (2.31) Cls Acc 87.5 (83.0)
Epoch: [0][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 1.85 (2.79) Trans Loss 1.53 (2.32) Cls Acc 90.6 (83.8)
Epoch: [0][ 900/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.74 (2.78) Trans Loss 2.57 (2.33) Cls Acc 93.8 (84.6)
Test: [ 0/50] Time 0.312 ( 0.312) Loss 8.8945e+00 (8.8945e+00) Acc@1 0.00 ( 0.00)
* Acc@1 1.069
[0.0003488783797973685, 0.003488783797973685, 0.003488783797973685, 0.003488783797973685]
Epoch: [1][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.56 (3.56) Trans Loss 3.17 (3.17) Cls Acc 87.5 (87.5)
Epoch: [1][ 100/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.99 (2.84) Trans Loss 2.70 (2.58) Cls Acc 90.6 (91.1)
Epoch: [1][ 200/1000] Time 0.1 (0.1) Data 0.0 (0.0) Loss 2.86 (2.87) Trans Loss 2.60 (2.61) Cls Acc 96.9 (91.2)
Epoch: [1][ 300/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.09 (2.88) Trans Loss 2.85 (2.62) Cls Acc 87.5 (91.2)
Epoch: [1][ 400/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.57 (2.89) Trans Loss 2.33 (2.64) Cls Acc 90.6 (91.0)
Epoch: [1][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 3.21 (2.93) Trans Loss 3.03 (2.68) Cls Acc 90.6 (90.9)
Epoch: [1][ 600/1000] Time 0.1 (0.1) Data 0.0 (0.1) Loss 3.25 (2.95) Trans Loss 2.94 (2.70) Cls Acc 84.4 (91.0)
Epoch: [1][ 700/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.71 (2.96) Trans Loss 2.26 (2.71) Cls Acc 87.5 (91.3)
Epoch: [1][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.30 (2.97) Trans Loss 3.07 (2.73) Cls Acc 93.8 (91.3)
Epoch: [1][ 900/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 4.56 (2.99) Trans Loss 4.18 (2.75) Cls Acc 90.6 (91.2)
Test: [ 0/50] Time 0.252 ( 0.252) Loss 1.2049e+01 (1.2049e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.446
[0.000310787801696365, 0.0031078780169636494, 0.0031078780169636494, 0.0031078780169636494]
Epoch: [2][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 2.80 (2.80) Trans Loss 2.56 (2.56) Cls Acc 93.8 (93.8)
Epoch: [2][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.03 (3.09) Trans Loss 2.89 (2.86) Cls Acc 96.9 (92.2)
Epoch: [2][ 200/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.17 (3.10) Trans Loss 3.06 (2.87) Cls Acc 96.9 (91.8)
Epoch: [2][ 300/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.76 (3.10) Trans Loss 2.71 (2.88) Cls Acc 100.0 (92.1)
Epoch: [2][ 400/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.90 (3.09) Trans Loss 2.65 (2.88) Cls Acc 90.6 (92.3)
Epoch: [2][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 4.06 (3.10) Trans Loss 3.59 (2.89) Cls Acc 81.2 (92.2)
Epoch: [2][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.55 (3.12) Trans Loss 2.50 (2.90) Cls Acc 100.0 (92.2)
Epoch: [2][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.62 (3.13) Trans Loss 3.48 (2.91) Cls Acc 93.8 (92.3)
Epoch: [2][ 800/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.10 (3.13) Trans Loss 3.03 (2.92) Cls Acc 96.9 (92.3)
Epoch: [2][ 900/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.43 (3.13) Trans Loss 3.29 (2.92) Cls Acc 90.6 (92.3)
Test: [ 0/50] Time 0.262 ( 0.262) Loss 1.4810e+01 (1.4810e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.131
[0.0002811706625951745, 0.002811706625951745, 0.002811706625951745, 0.002811706625951745]
Epoch: [3][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.76 (3.76) Trans Loss 3.52 (3.52) Cls Acc 90.6 (90.6)
Epoch: [3][ 100/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.29 (3.13) Trans Loss 3.23 (2.92) Cls Acc 100.0 (92.5)
Epoch: [3][ 200/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.60 (3.15) Trans Loss 2.56 (2.95) Cls Acc 100.0 (93.0)
Epoch: [3][ 300/1000] Time 0.1 (0.1) Data 0.0 (0.1) Loss 3.80 (3.16) Trans Loss 3.59 (2.95) Cls Acc 90.6 (92.8)
Epoch: [3][ 400/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.17 (3.15) Trans Loss 3.06 (2.95) Cls Acc 96.9 (92.9)
Epoch: [3][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.47 (3.13) Trans Loss 3.32 (2.93) Cls Acc 93.8 (93.1)
Epoch: [3][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.66 (3.12) Trans Loss 2.51 (2.92) Cls Acc 96.9 (93.1)
Epoch: [3][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.89 (3.10) Trans Loss 2.65 (2.90) Cls Acc 87.5 (93.1)
Epoch: [3][ 800/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.29 (3.10) Trans Loss 3.00 (2.91) Cls Acc 87.5 (93.1)
Epoch: [3][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.61 (3.10) Trans Loss 2.51 (2.91) Cls Acc 96.9 (93.1)
Test: [ 0/50] Time 0.267 ( 0.267) Loss 1.5273e+01 (1.5273e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.634
[0.00025739826339739313, 0.0025739826339739313, 0.0025739826339739313, 0.0025739826339739313]
Epoch: [4][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.24 (3.24) Trans Loss 3.03 (3.03) Cls Acc 84.4 (84.4)
Epoch: [4][ 100/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.84 (3.12) Trans Loss 2.71 (2.94) Cls Acc 96.9 (93.3)
Epoch: [4][ 200/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.26 (3.06) Trans Loss 3.06 (2.88) Cls Acc 90.6 (93.1)
Epoch: [4][ 300/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.09 (3.07) Trans Loss 3.01 (2.88) Cls Acc 93.8 (93.1)
Epoch: [4][ 400/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.37 (3.05) Trans Loss 2.94 (2.86) Cls Acc 87.5 (93.2)
Epoch: [4][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.74 (3.05) Trans Loss 2.58 (2.87) Cls Acc 93.8 (93.3)
Epoch: [4][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.74 (3.05) Trans Loss 2.63 (2.87) Cls Acc 96.9 (93.3)
Epoch: [4][ 700/1000] Time 0.1 (0.1) Data 0.0 (0.1) Loss 2.76 (3.04) Trans Loss 2.55 (2.85) Cls Acc 96.9 (93.4)
Epoch: [4][ 800/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.95 (3.04) Trans Loss 2.79 (2.86) Cls Acc 96.9 (93.4)
Epoch: [4][ 900/1000] Time 0.3 (0.1) Data 0.3 (0.1) Loss 3.25 (3.04) Trans Loss 3.04 (2.86) Cls Acc 90.6 (93.4)
Test: [ 0/50] Time 0.253 ( 0.253) Loss 1.4516e+01 (1.4516e+01) Acc@1 0.00 ( 0.00)
* Acc@1 2.074
[0.0002378414230005442, 0.002378414230005442, 0.002378414230005442, 0.002378414230005442]
Epoch: [5][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.17 (3.17) Trans Loss 3.03 (3.03) Cls Acc 93.8 (93.8)
Epoch: [5][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.81 (3.05) Trans Loss 2.60 (2.85) Cls Acc 93.8 (93.1)
Epoch: [5][ 200/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.96 (3.05) Trans Loss 3.65 (2.86) Cls Acc 90.6 (93.1)
Epoch: [5][ 300/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.00 (3.04) Trans Loss 2.86 (2.85) Cls Acc 93.8 (93.3)
Epoch: [5][ 400/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.20 (3.02) Trans Loss 2.17 (2.83) Cls Acc 100.0 (93.4)
Epoch: [5][ 500/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.76 (3.01) Trans Loss 2.70 (2.82) Cls Acc 100.0 (93.4)
Epoch: [5][ 600/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.83 (3.01) Trans Loss 2.72 (2.82) Cls Acc 96.9 (93.5)
Epoch: [5][ 700/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.58 (3.00) Trans Loss 3.42 (2.82) Cls Acc 93.8 (93.6)
Epoch: [5][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.73 (2.98) Trans Loss 2.53 (2.81) Cls Acc 93.8 (93.7)
Epoch: [5][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.28 (2.98) Trans Loss 2.21 (2.80) Cls Acc 96.9 (93.8)
Test: [ 0/50] Time 0.248 ( 0.248) Loss 1.4900e+01 (1.4900e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.634
[0.00022143332466016487, 0.0022143332466016486, 0.0022143332466016486, 0.0022143332466016486]
Epoch: [6][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 2.91 (2.91) Trans Loss 2.57 (2.57) Cls Acc 90.6 (90.6)
Epoch: [6][ 100/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.63 (2.97) Trans Loss 3.46 (2.79) Cls Acc 96.9 (93.2)
Epoch: [6][ 200/1000] Time 0.1 (0.1) Data 0.0 (0.1) Loss 2.95 (2.93) Trans Loss 2.85 (2.76) Cls Acc 96.9 (93.9)
Epoch: [6][ 300/1000] Time 0.1 (0.1) Data 0.0 (0.1) Loss 2.42 (2.93) Trans Loss 2.39 (2.77) Cls Acc 100.0 (93.8)
Epoch: [6][ 400/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.13 (2.96) Trans Loss 3.02 (2.79) Cls Acc 93.8 (93.6)
Epoch: [6][ 500/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.38 (2.97) Trans Loss 3.22 (2.79) Cls Acc 93.8 (93.6)
Epoch: [6][ 600/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.86 (2.97) Trans Loss 2.74 (2.80) Cls Acc 96.9 (93.7)
Epoch: [6][ 700/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.77 (2.96) Trans Loss 2.69 (2.79) Cls Acc 100.0 (93.7)
Epoch: [6][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.98 (2.95) Trans Loss 2.93 (2.78) Cls Acc 100.0 (93.9)
Epoch: [6][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.31 (2.94) Trans Loss 2.24 (2.77) Cls Acc 100.0 (93.9)
Test: [ 0/50] Time 0.249 ( 0.249) Loss 1.3719e+01 (1.3719e+01) Acc@1 0.00 ( 0.00)
* Acc@1 2.011
[0.00020744432576282613, 0.002074443257628261, 0.002074443257628261, 0.002074443257628261]
Epoch: [7][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 2.34 (2.34) Trans Loss 2.27 (2.27) Cls Acc 96.9 (96.9)
Epoch: [7][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.98 (2.95) Trans Loss 2.73 (2.78) Cls Acc 93.8 (94.2)
Epoch: [7][ 200/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 3.21 (2.94) Trans Loss 3.11 (2.78) Cls Acc 96.9 (94.1)
Epoch: [7][ 300/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.86 (2.93) Trans Loss 2.53 (2.77) Cls Acc 93.8 (94.2)
Epoch: [7][ 400/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.49 (2.92) Trans Loss 2.41 (2.76) Cls Acc 96.9 (94.1)
Epoch: [7][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.84 (2.91) Trans Loss 3.53 (2.76) Cls Acc 90.6 (94.2)
Epoch: [7][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.34 (2.92) Trans Loss 2.89 (2.76) Cls Acc 84.4 (94.1)
Epoch: [7][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.60 (2.92) Trans Loss 2.54 (2.76) Cls Acc 100.0 (94.1)
Epoch: [7][ 800/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.69 (2.92) Trans Loss 2.60 (2.76) Cls Acc 96.9 (94.1)
Epoch: [7][ 900/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.40 (2.91) Trans Loss 3.28 (2.75) Cls Acc 96.9 (94.2)
Test: [ 0/50] Time 0.245 ( 0.245) Loss 1.4484e+01 (1.4484e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.446
[0.00019535745114982549, 0.001953574511498255, 0.001953574511498255, 0.001953574511498255]
Epoch: [8][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.26 (3.26) Trans Loss 3.09 (3.09) Cls Acc 93.8 (93.8)
Epoch: [8][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.66 (2.89) Trans Loss 2.38 (2.73) Cls Acc 87.5 (94.0)
Epoch: [8][ 200/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.33 (2.90) Trans Loss 3.16 (2.74) Cls Acc 93.8 (94.2)
Epoch: [8][ 300/1000] Time 0.1 (0.1) Data 0.0 (0.1) Loss 2.65 (2.90) Trans Loss 2.44 (2.74) Cls Acc 87.5 (94.2)
Epoch: [8][ 400/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.24 (2.89) Trans Loss 3.16 (2.74) Cls Acc 96.9 (94.3)
Epoch: [8][ 500/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.99 (2.90) Trans Loss 2.94 (2.74) Cls Acc 100.0 (94.3)
Epoch: [8][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.39 (2.90) Trans Loss 3.16 (2.74) Cls Acc 93.8 (94.4)
Epoch: [8][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.49 (2.90) Trans Loss 2.27 (2.74) Cls Acc 90.6 (94.4)
Epoch: [8][ 800/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.38 (2.89) Trans Loss 2.34 (2.74) Cls Acc 100.0 (94.4)
Epoch: [8][ 900/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.16 (2.89) Trans Loss 2.94 (2.74) Cls Acc 93.8 (94.4)
Test: [ 0/50] Time 0.273 ( 0.273) Loss 1.4209e+01 (1.4209e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.760
[0.00018479553251668596, 0.0018479553251668595, 0.0018479553251668595, 0.0018479553251668595]
Epoch: [9][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.24 (3.24) Trans Loss 3.02 (3.02) Cls Acc 93.8 (93.8)
Epoch: [9][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.91 (2.92) Trans Loss 2.86 (2.77) Cls Acc 96.9 (94.1)
Epoch: [9][ 200/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.00 (2.92) Trans Loss 2.90 (2.77) Cls Acc 96.9 (94.0)
Epoch: [9][ 300/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.39 (2.91) Trans Loss 2.36 (2.76) Cls Acc 100.0 (94.2)
Epoch: [9][ 400/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.12 (2.92) Trans Loss 3.05 (2.77) Cls Acc 96.9 (94.4)
Epoch: [9][ 500/1000] Time 0.1 (0.1) Data 0.0 (0.1) Loss 2.69 (2.92) Trans Loss 2.51 (2.77) Cls Acc 93.8 (94.4)
Epoch: [9][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.46 (2.92) Trans Loss 2.32 (2.77) Cls Acc 96.9 (94.4)
Epoch: [9][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.78 (2.92) Trans Loss 2.64 (2.77) Cls Acc 93.8 (94.2)
Epoch: [9][ 800/1000] Time 0.4 (0.1) Data 0.3 (0.1) Loss 2.94 (2.92) Trans Loss 2.90 (2.77) Cls Acc 96.9 (94.3)
Epoch: [9][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.82 (2.92) Trans Loss 2.70 (2.76) Cls Acc 96.9 (94.2)
Test: [ 0/50] Time 0.260 ( 0.260) Loss 1.4654e+01 (1.4654e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.823
[0.00017547653506033234, 0.0017547653506033232, 0.0017547653506033232, 0.0017547653506033232]
Epoch: [10][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.17 (3.17) Trans Loss 3.07 (3.07) Cls Acc 96.9 (96.9)
Epoch: [10][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.08 (2.92) Trans Loss 2.91 (2.79) Cls Acc 93.8 (95.2)
Epoch: [10][ 200/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.86 (2.89) Trans Loss 2.76 (2.75) Cls Acc 96.9 (95.2)
Epoch: [10][ 300/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.79 (2.90) Trans Loss 2.63 (2.75) Cls Acc 96.9 (94.9)
Epoch: [10][ 400/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.01 (2.89) Trans Loss 2.85 (2.75) Cls Acc 93.8 (94.9)
Epoch: [10][ 500/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.02 (2.90) Trans Loss 2.87 (2.75) Cls Acc 96.9 (94.9)
Epoch: [10][ 600/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.67 (2.89) Trans Loss 2.55 (2.75) Cls Acc 93.8 (94.9)
Epoch: [10][ 700/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.23 (2.89) Trans Loss 2.15 (2.75) Cls Acc 96.9 (95.0)
Epoch: [10][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.42 (2.89) Trans Loss 2.37 (2.75) Cls Acc 100.0 (94.9)
Epoch: [10][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.25 (2.89) Trans Loss 3.17 (2.75) Cls Acc 96.9 (94.9)
Test: [ 0/50] Time 0.243 ( 0.243) Loss 1.4860e+01 (1.4860e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.634
[0.00016718507624410552, 0.001671850762441055, 0.001671850762441055, 0.001671850762441055]
Epoch: [11][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 2.42 (2.42) Trans Loss 2.35 (2.35) Cls Acc 96.9 (96.9)
Epoch: [11][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.54 (2.86) Trans Loss 2.44 (2.72) Cls Acc 96.9 (94.7)
Epoch: [11][ 200/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.02 (2.89) Trans Loss 2.95 (2.74) Cls Acc 100.0 (94.5)
Epoch: [11][ 300/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.59 (2.88) Trans Loss 2.52 (2.74) Cls Acc 96.9 (94.8)
Epoch: [11][ 400/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.07 (2.88) Trans Loss 2.97 (2.74) Cls Acc 96.9 (94.8)
Epoch: [11][ 500/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.88 (2.88) Trans Loss 2.56 (2.74) Cls Acc 93.8 (94.9)
Epoch: [11][ 600/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.62 (2.88) Trans Loss 2.45 (2.74) Cls Acc 93.8 (95.0)
Epoch: [11][ 700/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.98 (2.88) Trans Loss 2.84 (2.74) Cls Acc 96.9 (94.9)
Epoch: [11][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.82 (2.88) Trans Loss 2.73 (2.74) Cls Acc 96.9 (94.9)
Epoch: [11][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.98 (2.88) Trans Loss 2.88 (2.74) Cls Acc 93.8 (94.9)
Test: [ 0/50] Time 0.255 ( 0.255) Loss 1.5213e+01 (1.5213e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.823
[0.00015975365514318168, 0.0015975365514318165, 0.0015975365514318165, 0.0015975365514318165]
Epoch: [12][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.10 (3.10) Trans Loss 2.91 (2.91) Cls Acc 93.8 (93.8)
Epoch: [12][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.76 (2.89) Trans Loss 2.62 (2.74) Cls Acc 93.8 (94.8)
Epoch: [12][ 200/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.46 (2.92) Trans Loss 2.42 (2.77) Cls Acc 100.0 (94.7)
Epoch: [12][ 300/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.86 (2.92) Trans Loss 2.62 (2.77) Cls Acc 93.8 (94.7)
Epoch: [12][ 400/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.99 (2.93) Trans Loss 2.61 (2.78) Cls Acc 87.5 (94.9)
Epoch: [12][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.58 (2.93) Trans Loss 2.55 (2.78) Cls Acc 100.0 (94.9)
Epoch: [12][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.44 (2.93) Trans Loss 3.26 (2.78) Cls Acc 90.6 (94.9)
Epoch: [12][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.51 (2.92) Trans Loss 2.41 (2.78) Cls Acc 96.9 (94.8)
Epoch: [12][ 800/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.97 (2.92) Trans Loss 2.87 (2.77) Cls Acc 96.9 (95.0)
Epoch: [12][ 900/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.05 (2.91) Trans Loss 2.97 (2.77) Cls Acc 96.9 (95.0)
Test: [ 0/50] Time 0.251 ( 0.251) Loss 1.5244e+01 (1.5244e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.823
[0.0001530499231107622, 0.0015304992311076218, 0.0015304992311076218, 0.0015304992311076218]
Epoch: [13][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.47 (3.47) Trans Loss 3.06 (3.06) Cls Acc 93.8 (93.8)
Epoch: [13][ 100/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 3.05 (2.91) Trans Loss 2.89 (2.76) Cls Acc 90.6 (94.4)
Epoch: [13][ 200/1000] Time 0.1 (0.1) Data 0.0 (0.0) Loss 3.02 (2.91) Trans Loss 2.90 (2.77) Cls Acc 96.9 (94.7)
Epoch: [13][ 300/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.86 (2.91) Trans Loss 2.60 (2.77) Cls Acc 90.6 (94.9)
Epoch: [13][ 400/1000] Time 0.1 (0.1) Data 0.0 (0.1) Loss 2.90 (2.92) Trans Loss 2.73 (2.78) Cls Acc 90.6 (94.9)
Epoch: [13][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.66 (2.91) Trans Loss 2.61 (2.77) Cls Acc 100.0 (95.0)
Epoch: [13][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.54 (2.90) Trans Loss 2.49 (2.77) Cls Acc 96.9 (95.0)
Epoch: [13][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 3.07 (2.91) Trans Loss 2.84 (2.77) Cls Acc 90.6 (95.0)
Epoch: [13][ 800/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.84 (2.91) Trans Loss 2.82 (2.77) Cls Acc 100.0 (94.9)
Epoch: [13][ 900/1000] Time 0.1 (0.1) Data 0.0 (0.0) Loss 2.17 (2.91) Trans Loss 2.14 (2.77) Cls Acc 100.0 (94.9)
Test: [ 0/50] Time 0.260 ( 0.260) Loss 1.5229e+01 (1.5229e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.886
[0.00014696783408087735, 0.0014696783408087734, 0.0014696783408087734, 0.0014696783408087734]
Epoch: [14][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 2.47 (2.47) Trans Loss 2.42 (2.42) Cls Acc 100.0 (100.0)
Epoch: [14][ 100/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.43 (2.87) Trans Loss 2.40 (2.74) Cls Acc 100.0 (95.5)
Epoch: [14][ 200/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.87 (2.89) Trans Loss 2.80 (2.76) Cls Acc 96.9 (95.4)
Epoch: [14][ 300/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.57 (2.87) Trans Loss 2.53 (2.74) Cls Acc 96.9 (95.3)
Epoch: [14][ 400/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.02 (2.88) Trans Loss 2.96 (2.74) Cls Acc 100.0 (95.3)
Epoch: [14][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.07 (2.87) Trans Loss 2.86 (2.74) Cls Acc 93.8 (95.3)
Epoch: [14][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.78 (2.88) Trans Loss 2.73 (2.75) Cls Acc 100.0 (95.3)
Epoch: [14][ 700/1000] Time 0.3 (0.1) Data 0.3 (0.1) Loss 3.07 (2.89) Trans Loss 2.90 (2.75) Cls Acc 96.9 (95.3)
Epoch: [14][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.99 (2.88) Trans Loss 2.68 (2.75) Cls Acc 93.8 (95.3)
Epoch: [14][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.56 (2.88) Trans Loss 2.48 (2.75) Cls Acc 96.9 (95.3)
Test: [ 0/50] Time 0.232 ( 0.232) Loss 1.5054e+01 (1.5054e+01) Acc@1 0.00 ( 0.00)
* Acc@1 2.200
[0.00014142135623730954, 0.0014142135623730952, 0.0014142135623730952, 0.0014142135623730952]
Epoch: [15][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 2.47 (2.47) Trans Loss 2.39 (2.39) Cls Acc 100.0 (100.0)
Epoch: [15][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.99 (2.89) Trans Loss 2.81 (2.76) Cls Acc 93.8 (95.0)
Epoch: [15][ 200/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.00 (2.92) Trans Loss 2.89 (2.78) Cls Acc 96.9 (94.8)
Epoch: [15][ 300/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.77 (2.90) Trans Loss 2.64 (2.77) Cls Acc 96.9 (95.0)
Epoch: [15][ 400/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.72 (2.91) Trans Loss 2.61 (2.77) Cls Acc 93.8 (95.1)
Epoch: [15][ 500/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.87 (2.89) Trans Loss 2.69 (2.76) Cls Acc 93.8 (95.2)
Epoch: [15][ 600/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.10 (2.88) Trans Loss 2.99 (2.75) Cls Acc 96.9 (95.2)
Epoch: [15][ 700/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.62 (2.88) Trans Loss 2.57 (2.75) Cls Acc 100.0 (95.2)
Epoch: [15][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.23 (2.89) Trans Loss 3.08 (2.76) Cls Acc 96.9 (95.1)
Epoch: [15][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.68 (2.89) Trans Loss 2.57 (2.75) Cls Acc 96.9 (95.2)
Test: [ 0/50] Time 0.267 ( 0.267) Loss 1.5100e+01 (1.5100e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.760
[0.00013633991645173947, 0.0013633991645173947, 0.0013633991645173947, 0.0013633991645173947]
Epoch: [16][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 2.92 (2.92) Trans Loss 2.82 (2.82) Cls Acc 96.9 (96.9)
Epoch: [16][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.22 (2.91) Trans Loss 3.02 (2.77) Cls Acc 87.5 (95.3)
Epoch: [16][ 200/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.16 (2.90) Trans Loss 2.92 (2.76) Cls Acc 81.2 (95.0)
Epoch: [16][ 300/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.03 (2.90) Trans Loss 2.91 (2.77) Cls Acc 93.8 (95.1)
Epoch: [16][ 400/1000] Time 0.1 (0.1) Data 0.0 (0.0) Loss 3.17 (2.90) Trans Loss 3.09 (2.77) Cls Acc 100.0 (95.2)
Epoch: [16][ 500/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.30 (2.89) Trans Loss 3.05 (2.76) Cls Acc 87.5 (95.3)
Epoch: [16][ 600/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 2.88 (2.89) Trans Loss 2.79 (2.76) Cls Acc 96.9 (95.3)
Epoch: [16][ 700/1000] Time 0.1 (0.1) Data 0.1 (0.0) Loss 3.11 (2.89) Trans Loss 2.84 (2.77) Cls Acc 81.2 (95.2)
Epoch: [16][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.96 (2.89) Trans Loss 2.88 (2.76) Cls Acc 96.9 (95.2)
Epoch: [16][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.20 (2.89) Trans Loss 3.03 (2.76) Cls Acc 93.8 (95.2)
Test: [ 0/50] Time 0.262 ( 0.262) Loss 1.5942e+01 (1.5942e+01) Acc@1 0.00 ( 0.00)
* Acc@1 2.074
[0.00013166504259228776, 0.0013166504259228776, 0.0013166504259228776, 0.0013166504259228776]
Epoch: [17][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 3.15 (3.15) Trans Loss 2.82 (2.82) Cls Acc 93.8 (93.8)
Epoch: [17][ 100/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.79 (2.91) Trans Loss 2.73 (2.79) Cls Acc 96.9 (95.8)
Epoch: [17][ 200/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.75 (2.86) Trans Loss 2.72 (2.74) Cls Acc 100.0 (95.5)
Epoch: [17][ 300/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.53 (2.85) Trans Loss 2.47 (2.73) Cls Acc 96.9 (95.6)
Epoch: [17][ 400/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.76 (2.86) Trans Loss 2.66 (2.73) Cls Acc 96.9 (95.7)
Epoch: [17][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.72 (2.86) Trans Loss 2.57 (2.73) Cls Acc 96.9 (95.7)
Epoch: [17][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.33 (2.86) Trans Loss 2.25 (2.74) Cls Acc 96.9 (95.6)
Epoch: [17][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.47 (2.87) Trans Loss 2.44 (2.74) Cls Acc 100.0 (95.6)
Epoch: [17][ 800/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.45 (2.87) Trans Loss 3.32 (2.75) Cls Acc 90.6 (95.5)
Epoch: [17][ 900/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 3.05 (2.87) Trans Loss 2.96 (2.75) Cls Acc 96.9 (95.5)
Test: [ 0/50] Time 0.274 ( 0.274) Loss 1.5410e+01 (1.5410e+01) Acc@1 0.00 ( 0.00)
* Acc@1 2.074
[0.0001273478501032448, 0.001273478501032448, 0.001273478501032448, 0.001273478501032448]
Epoch: [18][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 2.27 (2.27) Trans Loss 2.25 (2.25) Cls Acc 100.0 (100.0)
Epoch: [18][ 100/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.11 (2.86) Trans Loss 2.09 (2.73) Cls Acc 100.0 (95.2)
Epoch: [18][ 200/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.87 (2.84) Trans Loss 2.62 (2.72) Cls Acc 90.6 (95.5)
Epoch: [18][ 300/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.64 (2.85) Trans Loss 2.62 (2.74) Cls Acc 100.0 (95.8)
Epoch: [18][ 400/1000] Time 0.0 (0.1) Data 0.0 (0.1) Loss 2.70 (2.87) Trans Loss 2.66 (2.75) Cls Acc 100.0 (95.7)
Epoch: [18][ 500/1000] Time 0.1 (0.1) Data 0.0 (0.0) Loss 2.68 (2.87) Trans Loss 2.54 (2.76) Cls Acc 96.9 (95.7)
Epoch: [18][ 600/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.63 (2.88) Trans Loss 2.58 (2.76) Cls Acc 100.0 (95.6)
Epoch: [18][ 700/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.92 (2.88) Trans Loss 2.91 (2.75) Cls Acc 100.0 (95.6)
Epoch: [18][ 800/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.77 (2.88) Trans Loss 2.59 (2.76) Cls Acc 93.8 (95.6)
Epoch: [18][ 900/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.60 (2.88) Trans Loss 2.51 (2.76) Cls Acc 96.9 (95.6)
Test: [ 0/50] Time 0.250 ( 0.250) Loss 1.6396e+01 (1.6396e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.948
[0.00012334713408204754, 0.0012334713408204754, 0.0012334713408204754, 0.0012334713408204754]
Epoch: [19][ 0/1000] Time 0.0 (0.0) Data 0.0 (0.0) Loss 2.40 (2.40) Trans Loss 2.36 (2.36) Cls Acc 100.0 (100.0)
Epoch: [19][ 100/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.34 (2.86) Trans Loss 2.32 (2.73) Cls Acc 100.0 (95.2)
Epoch: [19][ 200/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.94 (2.84) Trans Loss 2.85 (2.72) Cls Acc 93.8 (95.9)
Epoch: [19][ 300/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.96 (2.85) Trans Loss 2.79 (2.73) Cls Acc 93.8 (96.0)
Epoch: [19][ 400/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.91 (2.86) Trans Loss 2.78 (2.74) Cls Acc 90.6 (95.8)
Epoch: [19][ 500/1000] Time 0.0 (0.1) Data 0.0 (0.0) Loss 2.83 (2.86) Trans Loss 2.75 (2.75) Cls Acc 96.9 (95.9)
Epoch: [19][ 600/1000] Time 0.3 (0.1) Data 0.3 (0.1) Loss 2.83 (2.86) Trans Loss 2.81 (2.74) Cls Acc 100.0 (95.8)
Epoch: [19][ 700/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.73 (2.86) Trans Loss 2.72 (2.74) Cls Acc 100.0 (95.8)
Epoch: [19][ 800/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 2.64 (2.85) Trans Loss 2.55 (2.74) Cls Acc 93.8 (95.8)
Epoch: [19][ 900/1000] Time 0.1 (0.1) Data 0.1 (0.1) Loss 3.07 (2.86) Trans Loss 2.88 (2.75) Cls Acc 90.6 (95.7)
Test: [ 0/50] Time 0.260 ( 0.260) Loss 1.5806e+01 (1.5806e+01) Acc@1 0.00 ( 0.00)
* Acc@1 1.823
best_acc1 = 2.2
Test: [ 0/50] Time 0.281 ( 0.281) Loss 1.5054e+01 (1.5054e+01) Acc@1 0.00 ( 0.00)
* Acc@1 2.200
test_acc1 = 2.2
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