*************** ** Arguments ** *************** backbone: config_file: configs/trainers/dg/ddaig/PACS/pacs.yaml dataset_config_file: configs/datasets/dg/PACS/pacs_resnet18.yaml eval_only: False head: load_epoch: None model_dir: no_train: False opts: ['TRAINER.DDAIG.WARMUP', '3', 'TRAINER.DDAIG.LMDA', '0.5'] output_dir: output/PACS_resnet18_cartoon_r0 resume: root: /home/francesco/datasets seed: -1 source_domains: None target_domains: ['cartoon'] trainer: DDAIG transforms: None ************ ** Config ** ************ DATALOADER: K_TRANSFORMS: 1 NUM_WORKERS: 4 TEST: BATCH_SIZE: 16 SAMPLER: SequentialSampler TRAIN_U: BATCH_SIZE: 32 N_DOMAIN: 0 SAME_AS_X: True SAMPLER: RandomSampler TRAIN_X: BATCH_SIZE: 16 N_DOMAIN: 0 SAMPLER: RandomSampler DATASET: NAME: PACS NUM_LABELED: 250 ROOT: /home/francesco/datasets RUN: 0 SOURCE_DOMAINS: ['art_painting', 'photo', 'sketch'] STL10_FOLD: -1 TARGET_DOMAINS: ['cartoon'] VAL_PERCENT: 0.1 INPUT: CROP_PADDING: 4 CUTOUT_LEN: 16 CUTOUT_N: 1 GN_MEAN: 0.0 GN_STD: 0.15 NO_TRANSFORM: False PIXEL_MEAN: [0.5, 0.5, 0.5] PIXEL_STD: [0.5, 0.5, 0.5] RANDAUGMENT_M: 10 RANDAUGMENT_N: 2 SIZE: (224, 224) TRANSFORMS: ('random_flip', 'random_translation', 'normalize') MODEL: BACKBONE: NAME: resnet18 PRETRAINED: True HEAD: ACTIVATION: relu BN: True DROPOUT: 0.0 HIDDEN_LAYERS: () NAME: INIT_WEIGHTS: OPTIM: ADAM_BETA1: 0.9 ADAM_BETA2: 0.99 BASE_LR_MULT: 0.1 GAMMA: 0.1 LR: 0.0005 LR_SCHEDULER: single_step MAX_EPOCH: 25 MOMENTUM: 0.9 NAME: sgd NEW_LAYERS: () RMSPROP_ALPHA: 0.99 SGD_DAMPNING: 0 SGD_NESTEROV: False STAGED_LR: False STEPSIZE: (20,) WEIGHT_DECAY: 0.0005 OUTPUT_DIR: output/PACS_resnet18_cartoon_r0 RESUME: SEED: -1 TEST: COMPUTE_CMAT: False EVALUATOR: Classification EVAL_FREQ: 1 NO_TEST: False PER_CLASS_RESULT: False SPLIT: test TRAIN: CHECKPOINT_FREQ: 0 COUNT_ITER: train_x PRINT_FREQ: 10 TRAINER: CG: ALPHA_D: 0.5 ALPHA_F: 0.5 EPS_D: 1.0 EPS_F: 1.0 DAEL: CONF_THRE: 0.95 STRONG_TRANSFORMS: () WEIGHT_U: 0.5 DDAIG: ADAIN_AUGMENTATION: False ADAIN_CHECKPOINT: ADAIN_PROBABILITY: 0.9 ALPHA: 0.5 CLAMP: False CLAMP_MAX: 1.0 CLAMP_MIN: -1.0 G_ARCH: fcn_3x64_gctx LMDA: 0.5 WARMUP: 3 ENTMIN: LMDA: 0.001 FIXMATCH: CONF_THRE: 0.95 STRONG_TRANSFORMS: () WEIGHT_U: 1.0 M3SDA: LMDA: 0.5 N_STEP_F: 4 MCD: N_STEP_F: 4 MEANTEA: EMA_ALPHA: 0.999 WEIGHT_U: 1.0 MIXMATCH: MIXUP_BETA: 0.75 RAMPUP: 20000 TEMP: 2.0 WEIGHT_U: 100.0 MME: LMDA: 0.1 NAME: DDAIG SE: CONF_THRE: 0.95 EMA_ALPHA: 0.999 RAMPUP: 300 USE_CUDA: True VERBOSE: True VERSION: 1 Collecting env info ... ** System info ** PyTorch version: 1.2.0 Is debug build: No CUDA used to build PyTorch: 10.0.130 OS: Ubuntu 18.04.3 LTS GCC version: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0 CMake version: Could not collect Python version: 3.6 Is CUDA available: Yes CUDA runtime version: 10.1.243 GPU models and configuration: GPU 0: GeForce GTX TITAN X GPU 1: GeForce GTX 1070 Nvidia driver version: 440.33.01 cuDNN version: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5 Versions of relevant libraries: [pip3] numpy==1.19.0 [pip3] torch==1.2.0 [pip3] torchvision==0.4.0 [conda] Could not collect Pillow (7.2.0) Loading trainer: DDAIG Loading dataset: PACS Building transform_train + resize to 224x224 + random flip + random translation + to torch tensor of range [0, 1] + normalization (mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) Building transform_test + resize to 224x224 + to torch tensor of range [0, 1] + normalization (mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]) ***** Dataset statistics ***** Dataset: PACS Source domains: ['art_painting', 'photo', 'sketch'] Target domains: ['cartoon'] # classes: 7 # train_x: 6,869 # val: 777 # test: 2,344 Building F Backbone: resnet18 # params: 11,180,103 Building D Backbone: resnet18 # params: 11,178,051 Building G Network: fcn_3x64_gctx # params: 231,299 Loading evaluator: Classification No checkpoint found, train from scratch Initializing summary writer for tensorboard with log_dir=output/PACS_resnet18_cartoon_r0 epoch [1/25][10/429] time 0.772 (0.952) data 0.000 (0.028) eta 2:50:04 loss_g 1.0703 (1.1210) loss_f 1.9278 (2.0448) loss_d 0.8204 (0.9383) lr 0.0005 epoch [1/25][20/429] time 0.780 (0.865) data 0.000 (0.014) eta 2:34:23 loss_g 1.2345 (1.1599) loss_f 1.7286 (1.9428) loss_d 0.4765 (0.7755) lr 0.0005 epoch [1/25][30/429] time 0.781 (0.837) data 0.000 (0.010) eta 2:29:09 loss_g 1.1189 (1.1943) loss_f 1.4128 (1.8296) loss_d 0.2762 (0.6240) lr 0.0005 epoch [1/25][40/429] time 0.781 (0.823) data 0.000 (0.007) eta 2:26:30 loss_g 1.2027 (1.1855) loss_f 1.5763 (1.7357) loss_d 0.2542 (0.5404) lr 0.0005 epoch [1/25][50/429] time 0.779 (0.814) data 0.000 (0.006) eta 2:24:48 loss_g 1.0608 (1.1562) loss_f 1.3499 (1.6505) loss_d 0.2865 (0.4858) lr 0.0005 epoch [1/25][60/429] time 0.779 (0.808) data 0.000 (0.005) eta 2:23:37 loss_g 1.3095 (1.1356) loss_f 1.5762 (1.5871) loss_d 0.2946 (0.4392) lr 0.0005 epoch [1/25][70/429] time 0.778 (0.804) data 0.000 (0.004) eta 2:22:43 loss_g 0.9871 (1.1080) loss_f 1.0872 (1.5221) loss_d 0.0670 (0.4018) lr 0.0005 epoch [1/25][80/429] time 0.778 (0.801) data 0.000 (0.004) eta 2:22:01 loss_g 0.8123 (1.0685) loss_f 0.9874 (1.4573) loss_d 0.1143 (0.3745) lr 0.0005 epoch [1/25][90/429] time 0.780 (0.798) data 0.000 (0.003) eta 2:21:29 loss_g 0.8420 (1.0355) loss_f 0.9362 (1.4034) loss_d 0.0869 (0.3536) lr 0.0005 epoch [1/25][100/429] time 0.781 (0.796) data 0.000 (0.003) eta 2:21:02 loss_g 0.6613 (1.0025) loss_f 0.9533 (1.3573) loss_d 0.1899 (0.3382) lr 0.0005 epoch [1/25][110/429] time 0.778 (0.795) data 0.000 (0.003) eta 2:20:37 loss_g 0.9085 (0.9793) loss_f 0.9325 (1.3154) loss_d 0.1006 (0.3242) lr 0.0005 epoch [1/25][120/429] time 0.778 (0.793) data 0.000 (0.002) eta 2:20:14 loss_g 0.4817 (0.9510) loss_f 0.7535 (1.2787) loss_d 0.2123 (0.3142) lr 0.0005 epoch [1/25][130/429] time 0.778 (0.792) data 0.000 (0.002) eta 2:19:54 loss_g 0.5309 (0.9217) loss_f 0.8772 (1.2372) loss_d 0.2850 (0.3021) lr 0.0005 epoch [1/25][140/429] time 0.781 (0.791) data 0.000 (0.002) eta 2:19:37 loss_g 0.4082 (0.8987) loss_f 0.6190 (1.2014) loss_d 0.1762 (0.2911) lr 0.0005 epoch [1/25][150/429] time 0.780 (0.791) data 0.000 (0.002) eta 2:19:21 loss_g 0.6437 (0.8757) loss_f 0.7158 (1.1713) loss_d 0.0711 (0.2826) lr 0.0005 epoch [1/25][160/429] time 0.780 (0.790) data 0.000 (0.002) eta 2:19:06 loss_g 0.3755 (0.8509) loss_f 0.7268 (1.1402) loss_d 0.4813 (0.2771) lr 0.0005 epoch [1/25][170/429] time 0.779 (0.789) data 0.000 (0.002) eta 2:18:51 loss_g 0.3872 (0.8385) loss_f 0.5931 (1.1162) loss_d 0.0968 (0.2675) lr 0.0005 epoch [1/25][180/429] time 0.778 (0.789) data 0.000 (0.002) eta 2:18:37 loss_g 0.3895 (0.8175) loss_f 0.4967 (1.0898) loss_d 0.2000 (0.2624) lr 0.0005 epoch [1/25][190/429] time 0.779 (0.788) data 0.000 (0.002) eta 2:18:23 loss_g 0.2767 (0.7999) loss_f 0.4748 (1.0660) loss_d 0.1239 (0.2544) lr 0.0005 epoch [1/25][200/429] time 0.779 (0.788) data 0.000 (0.001) eta 2:18:11 loss_g 0.5999 (0.7845) loss_f 0.6757 (1.0431) loss_d 0.0432 (0.2479) lr 0.0005 epoch [1/25][210/429] time 0.780 (0.787) data 0.000 (0.001) eta 2:17:59 loss_g 0.2724 (0.7690) loss_f 0.4941 (1.0206) loss_d 0.1632 (0.2427) lr 0.0005 epoch [1/25][220/429] time 0.781 (0.787) data 0.000 (0.001) eta 2:17:47 loss_g 0.5091 (0.7527) loss_f 0.6352 (0.9985) loss_d 0.0836 (0.2349) lr 0.0005 epoch [1/25][230/429] time 0.777 (0.787) data 0.000 (0.001) eta 2:17:36 loss_g 0.0178 (0.7358) loss_f 0.3724 (0.9804) loss_d 0.3084 (0.2338) lr 0.0005 epoch [1/25][240/429] time 0.773 (0.786) data 0.000 (0.001) eta 2:17:25 loss_g 0.3426 (0.7196) loss_f 0.4190 (0.9591) loss_d 0.0724 (0.2290) lr 0.0005 epoch [1/25][250/429] time 0.773 (0.786) data 0.000 (0.001) eta 2:17:13 loss_g 0.4581 (0.7063) loss_f 0.5226 (0.9426) loss_d 0.1002 (0.2247) lr 0.0005 epoch [1/25][260/429] time 0.780 (0.786) data 0.000 (0.001) eta 2:17:03 loss_g 0.2698 (0.6934) loss_f 0.3511 (0.9274) loss_d 0.1871 (0.2211) lr 0.0005 epoch [1/25][270/429] time 0.781 (0.786) data 0.000 (0.001) eta 2:16:52 loss_g 0.3691 (0.6777) loss_f 0.3909 (0.9066) loss_d 0.0285 (0.2161) lr 0.0005 epoch [1/25][280/429] time 0.779 (0.785) data 0.000 (0.001) eta 2:16:43 loss_g 0.3156 (0.6631) loss_f 0.5732 (0.8891) loss_d 0.1416 (0.2119) lr 0.0005 epoch [1/25][290/429] time 0.781 (0.785) data 0.000 (0.001) eta 2:16:33 loss_g 0.0928 (0.6523) loss_f 0.3366 (0.8768) loss_d 0.2253 (0.2095) lr 0.0005 epoch [1/25][300/429] time 0.776 (0.785) data 0.000 (0.001) eta 2:16:23 loss_g 0.2577 (0.6401) loss_f 0.4091 (0.8639) loss_d 0.0228 (0.2056) lr 0.0005 epoch [1/25][310/429] time 0.781 (0.785) data 0.000 (0.001) eta 2:16:13 loss_g 0.4616 (0.6267) loss_f 0.3814 (0.8483) loss_d 0.0345 (0.2021) lr 0.0005 epoch [1/25][320/429] time 0.779 (0.785) data 0.000 (0.001) eta 2:16:04 loss_g 0.7021 (0.6192) loss_f 0.7300 (0.8356) loss_d 0.0888 (0.1984) lr 0.0005 epoch [1/25][330/429] time 0.781 (0.785) data 0.000 (0.001) eta 2:15:55 loss_g 0.1177 (0.6088) loss_f 0.3381 (0.8228) loss_d 0.0679 (0.1957) lr 0.0005 epoch [1/25][340/429] time 0.780 (0.784) data 0.000 (0.001) eta 2:15:45 loss_g 0.6150 (0.5972) loss_f 0.5704 (0.8105) loss_d 0.0981 (0.1924) lr 0.0005 epoch [1/25][350/429] time 0.781 (0.784) data 0.000 (0.001) eta 2:15:36 loss_g 0.1542 (0.5825) loss_f 0.3426 (0.7985) loss_d 0.1996 (0.1894) lr 0.0005 epoch [1/25][360/429] time 0.777 (0.784) data 0.000 (0.001) eta 2:15:27 loss_g 0.3092 (0.5715) loss_f 0.5227 (0.7893) loss_d 0.0618 (0.1866) lr 0.0005 epoch [1/25][370/429] time 0.779 (0.784) data 0.000 (0.001) eta 2:15:18 loss_g 0.0754 (0.5586) loss_f 0.3500 (0.7778) loss_d 0.0350 (0.1838) lr 0.0005 epoch [1/25][380/429] time 0.780 (0.784) data 0.000 (0.001) eta 2:15:08 loss_g -0.3584 (0.5429) loss_f 0.1803 (0.7654) loss_d 0.2675 (0.1814) lr 0.0005 epoch [1/25][390/429] time 0.780 (0.784) data 0.000 (0.001) eta 2:14:59 loss_g 0.1455 (0.5295) loss_f 0.5256 (0.7561) loss_d 0.0343 (0.1784) lr 0.0005 epoch [1/25][400/429] time 0.781 (0.784) data 0.000 (0.001) eta 2:14:51 loss_g -0.4191 (0.5237) loss_f 0.1567 (0.7492) loss_d 0.0352 (0.1757) lr 0.0005 epoch [1/25][410/429] time 0.780 (0.784) data 0.000 (0.001) eta 2:14:42 loss_g 0.6733 (0.5138) loss_f 0.7850 (0.7419) loss_d 0.0388 (0.1736) lr 0.0005 epoch [1/25][420/429] time 0.777 (0.783) data 0.000 (0.001) eta 2:14:33 loss_g -0.3347 (0.5008) loss_f 0.3204 (0.7330) loss_d 0.0525 (0.1709) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,715 * accuracy: 73.17% * error: 26.83% epoch [2/25][10/429] time 0.780 (0.814) data 0.000 (0.037) eta 2:19:35 loss_g 0.1296 (0.0565) loss_f 0.3162 (0.3785) loss_d 0.1494 (0.1275) lr 0.0005 epoch [2/25][20/429] time 0.781 (0.797) data 0.000 (0.018) eta 2:16:32 loss_g 0.3617 (0.0000) loss_f 0.2821 (0.3231) loss_d 0.0513 (0.1065) lr 0.0005 epoch [2/25][30/429] time 0.779 (0.791) data 0.000 (0.012) eta 2:15:24 loss_g 0.2836 (-0.0759) loss_f 0.2390 (0.3204) loss_d 0.0496 (0.0873) lr 0.0005 epoch [2/25][40/429] time 0.772 (0.788) data 0.000 (0.009) eta 2:14:45 loss_g 0.3224 (-0.0969) loss_f 0.6476 (0.3250) loss_d 0.0064 (0.0836) lr 0.0005 epoch [2/25][50/429] time 0.779 (0.786) data 0.000 (0.007) eta 2:14:16 loss_g -0.2858 (-0.0840) loss_f 0.3608 (0.3230) loss_d 0.0052 (0.0891) lr 0.0005 epoch [2/25][60/429] time 0.782 (0.785) data 0.000 (0.006) eta 2:13:59 loss_g 0.4217 (-0.1315) loss_f 0.3919 (0.3123) loss_d 0.0364 (0.0841) lr 0.0005 epoch [2/25][70/429] time 0.779 (0.785) data 0.000 (0.005) eta 2:13:44 loss_g -0.1903 (-0.1395) loss_f 0.1971 (0.3153) loss_d 0.1262 (0.0824) lr 0.0005 epoch [2/25][80/429] time 0.782 (0.784) data 0.000 (0.005) eta 2:13:31 loss_g -0.2092 (-0.1267) loss_f 0.2431 (0.3106) loss_d 0.0048 (0.0798) lr 0.0005 epoch [2/25][90/429] time 0.780 (0.784) data 0.000 (0.004) eta 2:13:18 loss_g -0.0308 (-0.1149) loss_f 0.2127 (0.3070) loss_d 0.0045 (0.0773) lr 0.0005 epoch [2/25][100/429] time 0.778 (0.783) data 0.000 (0.004) eta 2:13:07 loss_g -0.3328 (-0.1203) loss_f 0.2210 (0.3002) loss_d 0.0119 (0.0778) lr 0.0005 epoch [2/25][110/429] time 0.780 (0.783) data 0.000 (0.003) eta 2:12:54 loss_g -0.5339 (-0.1164) loss_f 0.2750 (0.2965) loss_d 0.0193 (0.0761) lr 0.0005 epoch [2/25][120/429] time 0.782 (0.783) data 0.000 (0.003) eta 2:12:45 loss_g -0.0209 (-0.0994) loss_f 0.5264 (0.3024) loss_d 0.0342 (0.0762) lr 0.0005 epoch [2/25][130/429] time 0.782 (0.783) data 0.000 (0.003) eta 2:12:36 loss_g 0.0069 (-0.0994) loss_f 0.1046 (0.3009) loss_d 0.0402 (0.0745) lr 0.0005 epoch [2/25][140/429] time 0.780 (0.782) data 0.000 (0.003) eta 2:12:26 loss_g 0.4992 (-0.1058) loss_f 0.2308 (0.3045) loss_d 0.0896 (0.0729) lr 0.0005 epoch [2/25][150/429] time 0.780 (0.782) data 0.000 (0.002) eta 2:12:17 loss_g -0.6958 (-0.1134) loss_f 0.2190 (0.3019) loss_d 0.0608 (0.0724) lr 0.0005 epoch [2/25][160/429] time 0.781 (0.782) data 0.000 (0.002) eta 2:12:08 loss_g -0.1390 (-0.1194) loss_f 0.2676 (0.2994) loss_d 0.0267 (0.0705) lr 0.0005 epoch [2/25][170/429] time 0.780 (0.782) data 0.000 (0.002) eta 2:11:59 loss_g 0.1155 (-0.1193) loss_f 0.3648 (0.3025) loss_d 0.0157 (0.0697) lr 0.0005 epoch [2/25][180/429] time 0.781 (0.782) data 0.000 (0.002) eta 2:11:50 loss_g -0.4507 (-0.1254) loss_f 0.4043 (0.3049) loss_d 0.0870 (0.0687) lr 0.0005 epoch [2/25][190/429] time 0.775 (0.782) data 0.000 (0.002) eta 2:11:41 loss_g -0.3550 (-0.1185) loss_f 0.3132 (0.3097) loss_d 0.0343 (0.0682) lr 0.0005 epoch [2/25][200/429] time 0.780 (0.782) data 0.000 (0.002) eta 2:11:31 loss_g -0.8230 (-0.1278) loss_f 0.1773 (0.3108) loss_d 0.0318 (0.0671) lr 0.0005 epoch [2/25][210/429] time 0.778 (0.781) data 0.000 (0.002) eta 2:11:22 loss_g -0.1838 (-0.1339) loss_f 0.3839 (0.3092) loss_d 0.0183 (0.0698) lr 0.0005 epoch [2/25][220/429] time 0.781 (0.781) data 0.000 (0.002) eta 2:11:13 loss_g 1.0023 (-0.1257) loss_f 0.5274 (0.3095) loss_d 0.0246 (0.0689) lr 0.0005 epoch [2/25][230/429] time 0.781 (0.781) data 0.000 (0.002) eta 2:11:05 loss_g -0.1533 (-0.1328) loss_f 0.8098 (0.3122) loss_d 0.0212 (0.0679) lr 0.0005 epoch [2/25][240/429] time 0.781 (0.781) data 0.000 (0.002) eta 2:10:57 loss_g -0.2318 (-0.1368) loss_f 0.0786 (0.3081) loss_d 0.0577 (0.0681) lr 0.0005 epoch [2/25][250/429] time 0.780 (0.781) data 0.000 (0.002) eta 2:10:48 loss_g -0.2138 (-0.1489) loss_f 0.0564 (0.3047) loss_d 0.0555 (0.0687) lr 0.0005 epoch [2/25][260/429] time 0.780 (0.781) data 0.000 (0.001) eta 2:10:40 loss_g 0.6593 (-0.1488) loss_f 0.2683 (0.3060) loss_d 0.0237 (0.0680) lr 0.0005 epoch [2/25][270/429] time 0.780 (0.781) data 0.000 (0.001) eta 2:10:32 loss_g -0.4709 (-0.1558) loss_f 0.1599 (0.3045) loss_d 0.0082 (0.0666) lr 0.0005 epoch [2/25][280/429] time 0.776 (0.781) data 0.000 (0.001) eta 2:10:24 loss_g -0.2958 (-0.1675) loss_f 0.4121 (0.3040) loss_d 0.0925 (0.0675) lr 0.0005 epoch [2/25][290/429] time 0.779 (0.781) data 0.000 (0.001) eta 2:10:15 loss_g -0.1253 (-0.1713) loss_f 0.5237 (0.3024) loss_d 0.1258 (0.0664) lr 0.0005 epoch [2/25][300/429] time 0.782 (0.781) data 0.000 (0.001) eta 2:10:07 loss_g -0.7890 (-0.1884) loss_f 0.1559 (0.2983) loss_d 0.0332 (0.0654) lr 0.0005 epoch [2/25][310/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:09:59 loss_g -0.3094 (-0.1946) loss_f 0.5236 (0.2984) loss_d 0.0184 (0.0654) lr 0.0005 epoch [2/25][320/429] time 0.782 (0.781) data 0.000 (0.001) eta 2:09:52 loss_g -1.0347 (-0.1996) loss_f 0.1298 (0.2980) loss_d 0.0259 (0.0645) lr 0.0005 epoch [2/25][330/429] time 0.779 (0.781) data 0.000 (0.001) eta 2:09:44 loss_g -0.7677 (-0.2048) loss_f 0.1915 (0.2991) loss_d 0.0415 (0.0646) lr 0.0005 epoch [2/25][340/429] time 0.779 (0.781) data 0.000 (0.001) eta 2:09:35 loss_g -0.0310 (-0.2090) loss_f 0.4312 (0.3003) loss_d 0.0172 (0.0637) lr 0.0005 epoch [2/25][350/429] time 0.780 (0.781) data 0.000 (0.001) eta 2:09:28 loss_g -0.0708 (-0.2141) loss_f 0.3533 (0.3008) loss_d 0.0478 (0.0644) lr 0.0005 epoch [2/25][360/429] time 0.778 (0.781) data 0.000 (0.001) eta 2:09:20 loss_g -0.5137 (-0.2251) loss_f 0.1114 (0.3000) loss_d 0.0106 (0.0639) lr 0.0005 epoch [2/25][370/429] time 0.780 (0.781) data 0.000 (0.001) eta 2:09:11 loss_g -1.1133 (-0.2338) loss_f 0.2268 (0.3002) loss_d 0.0086 (0.0632) lr 0.0005 epoch [2/25][380/429] time 0.776 (0.781) data 0.000 (0.001) eta 2:09:03 loss_g 0.5458 (-0.2466) loss_f 0.4888 (0.2997) loss_d 0.0448 (0.0640) lr 0.0005 epoch [2/25][390/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:08:55 loss_g -0.0021 (-0.2526) loss_f 0.2277 (0.2991) loss_d 0.0266 (0.0640) lr 0.0005 epoch [2/25][400/429] time 0.782 (0.781) data 0.000 (0.001) eta 2:08:47 loss_g -0.1666 (-0.2565) loss_f 0.3921 (0.2988) loss_d 0.0064 (0.0635) lr 0.0005 epoch [2/25][410/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:08:39 loss_g -0.4665 (-0.2670) loss_f 0.0478 (0.2968) loss_d 0.0293 (0.0637) lr 0.0005 epoch [2/25][420/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:08:31 loss_g -0.2020 (-0.2725) loss_f 0.2113 (0.2958) loss_d 0.0641 (0.0640) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,753 * accuracy: 74.79% * error: 25.21% epoch [3/25][10/429] time 0.777 (0.806) data 0.000 (0.027) eta 2:12:24 loss_g -0.2868 (-0.6006) loss_f 0.1706 (0.2461) loss_d 0.0322 (0.0734) lr 0.0005 epoch [3/25][20/429] time 0.782 (0.793) data 0.000 (0.014) eta 2:10:11 loss_g -0.2952 (-0.6461) loss_f 0.1272 (0.2286) loss_d 0.0028 (0.0838) lr 0.0005 epoch [3/25][30/429] time 0.779 (0.789) data 0.000 (0.009) eta 2:09:21 loss_g -0.1597 (-0.6407) loss_f 0.1234 (0.2201) loss_d 0.0524 (0.0653) lr 0.0005 epoch [3/25][40/429] time 0.780 (0.787) data 0.000 (0.007) eta 2:08:50 loss_g -0.3179 (-0.5825) loss_f 0.1007 (0.2211) loss_d 0.0480 (0.0695) lr 0.0005 epoch [3/25][50/429] time 0.783 (0.785) data 0.000 (0.005) eta 2:08:29 loss_g -0.7531 (-0.5812) loss_f 0.0897 (0.2253) loss_d 0.0228 (0.0659) lr 0.0005 epoch [3/25][60/429] time 0.778 (0.785) data 0.000 (0.005) eta 2:08:14 loss_g -1.4156 (-0.6287) loss_f 0.1068 (0.2226) loss_d 0.0371 (0.0599) lr 0.0005 epoch [3/25][70/429] time 0.782 (0.784) data 0.000 (0.004) eta 2:08:01 loss_g -0.5176 (-0.6269) loss_f 0.2576 (0.2317) loss_d 0.0856 (0.0588) lr 0.0005 epoch [3/25][80/429] time 0.779 (0.784) data 0.000 (0.003) eta 2:07:49 loss_g 0.1930 (-0.6475) loss_f 0.1493 (0.2325) loss_d 0.1375 (0.0590) lr 0.0005 epoch [3/25][90/429] time 0.781 (0.783) data 0.000 (0.003) eta 2:07:37 loss_g 0.1313 (-0.6373) loss_f 0.3503 (0.2337) loss_d 0.0090 (0.0563) lr 0.0005 epoch [3/25][100/429] time 0.781 (0.783) data 0.000 (0.003) eta 2:07:26 loss_g -1.2968 (-0.6407) loss_f 0.0784 (0.2305) loss_d 0.0354 (0.0524) lr 0.0005 epoch [3/25][110/429] time 0.779 (0.783) data 0.000 (0.003) eta 2:07:17 loss_g -1.9438 (-0.6733) loss_f 0.0234 (0.2278) loss_d 0.1064 (0.0535) lr 0.0005 epoch [3/25][120/429] time 0.782 (0.783) data 0.000 (0.002) eta 2:07:08 loss_g -0.6912 (-0.6936) loss_f 0.1573 (0.2324) loss_d 0.0303 (0.0520) lr 0.0005 epoch [3/25][130/429] time 0.782 (0.783) data 0.000 (0.002) eta 2:06:59 loss_g -0.5259 (-0.7106) loss_f 0.3010 (0.2339) loss_d 0.0256 (0.0532) lr 0.0005 epoch [3/25][140/429] time 0.778 (0.782) data 0.000 (0.002) eta 2:06:50 loss_g -1.2429 (-0.7240) loss_f 0.1282 (0.2347) loss_d 0.0041 (0.0507) lr 0.0005 epoch [3/25][150/429] time 0.778 (0.782) data 0.000 (0.002) eta 2:06:41 loss_g -0.8004 (-0.7165) loss_f 0.1934 (0.2356) loss_d 0.0226 (0.0503) lr 0.0005 epoch [3/25][160/429] time 0.780 (0.782) data 0.000 (0.002) eta 2:06:31 loss_g -1.2126 (-0.7379) loss_f 0.2057 (0.2339) loss_d 0.0057 (0.0521) lr 0.0005 epoch [3/25][170/429] time 0.781 (0.782) data 0.000 (0.002) eta 2:06:22 loss_g -1.8407 (-0.7388) loss_f 0.0259 (0.2316) loss_d 0.0068 (0.0507) lr 0.0005 epoch [3/25][180/429] time 0.778 (0.782) data 0.000 (0.002) eta 2:06:13 loss_g 0.0008 (-0.7517) loss_f 0.1902 (0.2269) loss_d 0.3021 (0.0521) lr 0.0005 epoch [3/25][190/429] time 0.781 (0.782) data 0.000 (0.001) eta 2:06:05 loss_g -0.4563 (-0.7548) loss_f 0.2535 (0.2266) loss_d 0.0550 (0.0509) lr 0.0005 epoch [3/25][200/429] time 0.781 (0.782) data 0.000 (0.001) eta 2:05:56 loss_g -1.0579 (-0.7624) loss_f 0.1828 (0.2285) loss_d 0.0404 (0.0516) lr 0.0005 epoch [3/25][210/429] time 0.781 (0.782) data 0.000 (0.001) eta 2:05:47 loss_g -0.2092 (-0.7382) loss_f 0.1649 (0.2288) loss_d 0.0087 (0.0506) lr 0.0005 epoch [3/25][220/429] time 0.782 (0.782) data 0.000 (0.001) eta 2:05:39 loss_g 0.6426 (-0.7276) loss_f 0.5406 (0.2296) loss_d 0.2331 (0.0514) lr 0.0005 epoch [3/25][230/429] time 0.779 (0.781) data 0.000 (0.001) eta 2:05:31 loss_g -1.0293 (-0.7418) loss_f 0.5271 (0.2320) loss_d 0.0477 (0.0506) lr 0.0005 epoch [3/25][240/429] time 0.779 (0.781) data 0.000 (0.001) eta 2:05:22 loss_g -1.8953 (-0.7539) loss_f 0.2682 (0.2332) loss_d 0.0136 (0.0515) lr 0.0005 epoch [3/25][250/429] time 0.782 (0.781) data 0.000 (0.001) eta 2:05:14 loss_g 0.1688 (-0.7487) loss_f 0.3446 (0.2324) loss_d 0.0106 (0.0525) lr 0.0005 epoch [3/25][260/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:05:06 loss_g -0.4979 (-0.7450) loss_f 0.1681 (0.2329) loss_d 0.0018 (0.0517) lr 0.0005 epoch [3/25][270/429] time 0.782 (0.781) data 0.000 (0.001) eta 2:04:58 loss_g -0.7461 (-0.7559) loss_f 0.1265 (0.2318) loss_d 0.0052 (0.0507) lr 0.0005 epoch [3/25][280/429] time 0.779 (0.781) data 0.000 (0.001) eta 2:04:50 loss_g -0.4871 (-0.7584) loss_f 0.1219 (0.2283) loss_d 0.0052 (0.0519) lr 0.0005 epoch [3/25][290/429] time 0.782 (0.781) data 0.000 (0.001) eta 2:04:42 loss_g -0.6409 (-0.7746) loss_f 0.0684 (0.2252) loss_d 0.0834 (0.0515) lr 0.0005 epoch [3/25][300/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:04:34 loss_g -0.9202 (-0.7805) loss_f 0.1569 (0.2246) loss_d 0.0044 (0.0504) lr 0.0005 epoch [3/25][310/429] time 0.780 (0.781) data 0.000 (0.001) eta 2:04:25 loss_g -0.8598 (-0.7864) loss_f 0.3900 (0.2237) loss_d 0.0019 (0.0502) lr 0.0005 epoch [3/25][320/429] time 0.779 (0.781) data 0.000 (0.001) eta 2:04:17 loss_g -1.5840 (-0.8043) loss_f 0.5291 (0.2247) loss_d 0.0064 (0.0494) lr 0.0005 epoch [3/25][330/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:04:09 loss_g -1.0967 (-0.7998) loss_f 0.2314 (0.2251) loss_d 0.0079 (0.0487) lr 0.0005 epoch [3/25][340/429] time 0.780 (0.781) data 0.000 (0.001) eta 2:04:01 loss_g -1.3283 (-0.8067) loss_f 0.1314 (0.2231) loss_d 0.0198 (0.0480) lr 0.0005 epoch [3/25][350/429] time 0.777 (0.781) data 0.000 (0.001) eta 2:03:52 loss_g -0.9533 (-0.8049) loss_f 0.1516 (0.2248) loss_d 0.0020 (0.0470) lr 0.0005 epoch [3/25][360/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:03:44 loss_g -0.7140 (-0.8192) loss_f 0.0632 (0.2232) loss_d 0.0032 (0.0478) lr 0.0005 epoch [3/25][370/429] time 0.778 (0.781) data 0.000 (0.001) eta 2:03:36 loss_g -1.3184 (-0.8252) loss_f 0.0778 (0.2205) loss_d 0.1518 (0.0483) lr 0.0005 epoch [3/25][380/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:03:29 loss_g -0.0436 (-0.8245) loss_f 0.1244 (0.2216) loss_d 0.0255 (0.0474) lr 0.0005 epoch [3/25][390/429] time 0.781 (0.781) data 0.000 (0.001) eta 2:03:20 loss_g -0.8603 (-0.8335) loss_f 0.0638 (0.2209) loss_d 0.0477 (0.0476) lr 0.0005 epoch [3/25][400/429] time 0.782 (0.781) data 0.000 (0.001) eta 2:03:12 loss_g -1.4836 (-0.8439) loss_f 0.1428 (0.2211) loss_d 0.0237 (0.0476) lr 0.0005 epoch [3/25][410/429] time 0.782 (0.781) data 0.000 (0.001) eta 2:03:04 loss_g -0.9947 (-0.8489) loss_f 0.3023 (0.2207) loss_d 0.0022 (0.0475) lr 0.0005 epoch [3/25][420/429] time 0.780 (0.781) data 0.000 (0.001) eta 2:02:56 loss_g -0.6787 (-0.8460) loss_f 0.4387 (0.2210) loss_d 0.0479 (0.0473) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,719 * accuracy: 73.34% * error: 26.66% epoch [4/25][10/429] time 0.831 (0.851) data 0.000 (0.024) eta 2:13:46 loss_g -2.5559 (-1.4703) loss_f 0.2105 (0.2939) loss_d 0.0491 (0.0172) lr 0.0005 epoch [4/25][20/429] time 0.830 (0.841) data 0.000 (0.012) eta 2:11:59 loss_g -1.8711 (-1.3378) loss_f 0.2435 (0.2549) loss_d 0.0129 (0.0278) lr 0.0005 epoch [4/25][30/429] time 0.831 (0.837) data 0.000 (0.008) eta 2:11:19 loss_g -1.0805 (-1.2817) loss_f 0.2710 (0.2600) loss_d 0.0133 (0.0312) lr 0.0005 epoch [4/25][40/429] time 0.825 (0.835) data 0.000 (0.006) eta 2:10:49 loss_g -1.8124 (-1.3052) loss_f 0.1815 (0.2483) loss_d 0.0965 (0.0392) lr 0.0005 epoch [4/25][50/429] time 0.831 (0.834) data 0.000 (0.005) eta 2:10:32 loss_g 0.0042 (-1.1841) loss_f 0.0650 (0.2387) loss_d 0.0248 (0.0380) lr 0.0005 epoch [4/25][60/429] time 0.830 (0.833) data 0.000 (0.004) eta 2:10:16 loss_g -0.0948 (-1.1432) loss_f 0.2946 (0.2448) loss_d 0.0152 (0.0339) lr 0.0005 epoch [4/25][70/429] time 0.831 (0.833) data 0.000 (0.003) eta 2:09:59 loss_g -2.5774 (-1.2206) loss_f 0.1553 (0.2435) loss_d 0.0913 (0.0365) lr 0.0005 epoch [4/25][80/429] time 0.826 (0.832) data 0.000 (0.003) eta 2:09:47 loss_g -0.6263 (-1.1785) loss_f 0.0677 (0.2533) loss_d 0.0179 (0.0365) lr 0.0005 epoch [4/25][90/429] time 0.831 (0.832) data 0.000 (0.003) eta 2:09:35 loss_g -2.2050 (-1.1813) loss_f 0.0998 (0.2533) loss_d 0.0084 (0.0343) lr 0.0005 epoch [4/25][100/429] time 0.828 (0.832) data 0.000 (0.002) eta 2:09:25 loss_g -1.3190 (-1.1861) loss_f 0.2437 (0.2458) loss_d 0.0265 (0.0360) lr 0.0005 epoch [4/25][110/429] time 0.830 (0.831) data 0.000 (0.002) eta 2:09:14 loss_g -0.5099 (-1.1677) loss_f 0.5063 (0.2529) loss_d 0.0073 (0.0357) lr 0.0005 epoch [4/25][120/429] time 0.831 (0.831) data 0.000 (0.002) eta 2:09:06 loss_g -1.3249 (-1.1590) loss_f 0.2921 (0.2469) loss_d 0.0249 (0.0358) lr 0.0005 epoch [4/25][130/429] time 0.831 (0.831) data 0.000 (0.002) eta 2:08:56 loss_g 0.2474 (-1.1849) loss_f 0.3477 (0.2430) loss_d 0.0176 (0.0362) lr 0.0005 epoch [4/25][140/429] time 0.831 (0.831) data 0.000 (0.002) eta 2:08:48 loss_g -0.5063 (-1.1739) loss_f 0.1482 (0.2436) loss_d 0.0098 (0.0344) lr 0.0005 epoch [4/25][150/429] time 0.830 (0.831) data 0.000 (0.002) eta 2:08:38 loss_g -1.1201 (-1.1521) loss_f 0.1692 (0.2459) loss_d 0.0396 (0.0334) lr 0.0005 epoch [4/25][160/429] time 0.830 (0.831) data 0.000 (0.002) eta 2:08:29 loss_g -1.6874 (-1.1774) loss_f 0.1266 (0.2413) loss_d 0.0083 (0.0327) lr 0.0005 epoch [4/25][170/429] time 0.830 (0.831) data 0.000 (0.001) eta 2:08:20 loss_g -1.2333 (-1.2045) loss_f 0.3008 (0.2401) loss_d 0.0232 (0.0318) lr 0.0005 epoch [4/25][180/429] time 0.830 (0.831) data 0.000 (0.001) eta 2:08:11 loss_g -1.2201 (-1.2217) loss_f 0.4026 (0.2397) loss_d 0.0606 (0.0322) lr 0.0005 epoch [4/25][190/429] time 0.828 (0.831) data 0.000 (0.001) eta 2:08:02 loss_g -0.6233 (-1.2301) loss_f 0.0920 (0.2360) loss_d 0.0050 (0.0315) lr 0.0005 epoch [4/25][200/429] time 0.831 (0.831) data 0.000 (0.001) eta 2:07:53 loss_g 0.2945 (-1.2284) loss_f 0.2629 (0.2377) loss_d 0.0039 (0.0309) lr 0.0005 epoch [4/25][210/429] time 0.829 (0.831) data 0.000 (0.001) eta 2:07:44 loss_g -2.4406 (-1.2522) loss_f 0.2110 (0.2340) loss_d 0.0118 (0.0310) lr 0.0005 epoch [4/25][220/429] time 0.831 (0.831) data 0.000 (0.001) eta 2:07:35 loss_g -1.9515 (-1.2552) loss_f 0.1540 (0.2320) loss_d 0.0255 (0.0309) lr 0.0005 epoch [4/25][230/429] time 0.831 (0.831) data 0.000 (0.001) eta 2:07:27 loss_g -1.2057 (-1.2564) loss_f 0.3895 (0.2339) loss_d 0.0059 (0.0300) lr 0.0005 epoch [4/25][240/429] time 0.830 (0.830) data 0.000 (0.001) eta 2:07:18 loss_g -0.7992 (-1.2504) loss_f 0.1264 (0.2337) loss_d 0.0109 (0.0295) lr 0.0005 epoch [4/25][250/429] time 0.831 (0.830) data 0.000 (0.001) eta 2:07:10 loss_g -1.8244 (-1.2681) loss_f 0.2192 (0.2358) loss_d 0.0031 (0.0289) lr 0.0005 epoch [4/25][260/429] time 0.831 (0.830) data 0.000 (0.001) eta 2:07:01 loss_g -2.2246 (-1.2750) loss_f 0.2628 (0.2335) loss_d 0.0133 (0.0284) lr 0.0005 epoch [4/25][270/429] time 0.831 (0.830) data 0.000 (0.001) eta 2:06:53 loss_g -2.2204 (-1.2801) loss_f 0.1128 (0.2324) loss_d 0.0078 (0.0307) lr 0.0005 epoch [4/25][280/429] time 0.831 (0.830) data 0.000 (0.001) eta 2:06:44 loss_g -1.2906 (-1.3111) loss_f 0.2036 (0.2309) loss_d 0.0135 (0.0302) lr 0.0005 epoch [4/25][290/429] time 0.822 (0.830) data 0.000 (0.001) eta 2:06:35 loss_g -3.3991 (-1.3128) loss_f 0.1447 (0.2315) loss_d 0.0189 (0.0310) lr 0.0005 epoch [4/25][300/429] time 0.830 (0.830) data 0.000 (0.001) eta 2:06:27 loss_g -0.7912 (-1.3179) loss_f 0.6469 (0.2332) loss_d 0.1046 (0.0308) lr 0.0005 epoch [4/25][310/429] time 0.829 (0.830) data 0.000 (0.001) eta 2:06:18 loss_g -0.3364 (-1.3244) loss_f 0.2904 (0.2324) loss_d 0.0090 (0.0307) lr 0.0005 epoch [4/25][320/429] time 0.823 (0.830) data 0.000 (0.001) eta 2:06:09 loss_g -2.0346 (-1.3264) loss_f 0.0941 (0.2340) loss_d 0.0125 (0.0310) lr 0.0005 epoch [4/25][330/429] time 0.830 (0.830) data 0.000 (0.001) eta 2:06:01 loss_g -2.2993 (-1.3284) loss_f 0.0777 (0.2349) loss_d 0.0040 (0.0312) lr 0.0005 epoch [4/25][340/429] time 0.831 (0.830) data 0.000 (0.001) eta 2:05:52 loss_g -0.0359 (-1.3444) loss_f 0.1859 (0.2342) loss_d 0.0115 (0.0317) lr 0.0005 epoch [4/25][350/429] time 0.829 (0.830) data 0.000 (0.001) eta 2:05:43 loss_g -1.0207 (-1.3574) loss_f 0.1400 (0.2331) loss_d 0.0025 (0.0316) lr 0.0005 epoch [4/25][360/429] time 0.831 (0.830) data 0.000 (0.001) eta 2:05:35 loss_g -0.2929 (-1.3687) loss_f 0.1586 (0.2323) loss_d 0.1978 (0.0318) lr 0.0005 epoch [4/25][370/429] time 0.832 (0.830) data 0.000 (0.001) eta 2:05:27 loss_g -2.1453 (-1.3678) loss_f 0.2729 (0.2354) loss_d 0.0516 (0.0319) lr 0.0005 epoch [4/25][380/429] time 0.831 (0.830) data 0.000 (0.001) eta 2:05:18 loss_g -2.3097 (-1.3760) loss_f 0.1467 (0.2353) loss_d 0.0130 (0.0316) lr 0.0005 epoch [4/25][390/429] time 0.830 (0.830) data 0.000 (0.001) eta 2:05:10 loss_g -2.0322 (-1.3904) loss_f 0.0690 (0.2344) loss_d 0.0026 (0.0323) lr 0.0005 epoch [4/25][400/429] time 0.830 (0.830) data 0.000 (0.001) eta 2:05:02 loss_g -1.9705 (-1.4078) loss_f 0.3411 (0.2352) loss_d 0.0027 (0.0319) lr 0.0005 epoch [4/25][410/429] time 0.831 (0.830) data 0.000 (0.001) eta 2:04:53 loss_g -0.8682 (-1.4083) loss_f 0.0913 (0.2345) loss_d 0.0081 (0.0316) lr 0.0005 epoch [4/25][420/429] time 0.831 (0.830) data 0.000 (0.001) eta 2:04:45 loss_g -1.9858 (-1.4114) loss_f 0.0744 (0.2349) loss_d 0.0037 (0.0318) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,709 * accuracy: 72.91% * error: 27.09% epoch [5/25][10/429] time 0.831 (0.853) data 0.000 (0.023) eta 2:07:51 loss_g -1.2012 (-1.7799) loss_f 0.1524 (0.1505) loss_d 0.0143 (0.0148) lr 0.0005 epoch [5/25][20/429] time 0.832 (0.842) data 0.000 (0.011) eta 2:06:05 loss_g -2.0875 (-1.9965) loss_f 0.2772 (0.1718) loss_d 0.0024 (0.0121) lr 0.0005 epoch [5/25][30/429] time 0.831 (0.838) data 0.000 (0.008) eta 2:05:25 loss_g -2.7812 (-1.9153) loss_f 0.0943 (0.1931) loss_d 0.0039 (0.0151) lr 0.0005 epoch [5/25][40/429] time 0.829 (0.836) data 0.000 (0.006) eta 2:04:59 loss_g -2.2302 (-1.9995) loss_f 0.1246 (0.1974) loss_d 0.0018 (0.0169) lr 0.0005 epoch [5/25][50/429] time 0.830 (0.835) data 0.000 (0.005) eta 2:04:39 loss_g -1.2022 (-2.0410) loss_f 0.0812 (0.1948) loss_d 0.0057 (0.0160) lr 0.0005 epoch [5/25][60/429] time 0.831 (0.834) data 0.000 (0.004) eta 2:04:24 loss_g -2.3353 (-1.9708) loss_f 0.3128 (0.2117) loss_d 0.0297 (0.0236) lr 0.0005 epoch [5/25][70/429] time 0.831 (0.833) data 0.000 (0.003) eta 2:04:08 loss_g -2.0184 (-1.9663) loss_f 0.0849 (0.2026) loss_d 0.0089 (0.0211) lr 0.0005 epoch [5/25][80/429] time 0.827 (0.833) data 0.000 (0.003) eta 2:03:56 loss_g -0.4250 (-1.9801) loss_f 0.2032 (0.1993) loss_d 0.0186 (0.0204) lr 0.0005 epoch [5/25][90/429] time 0.831 (0.832) data 0.000 (0.003) eta 2:03:44 loss_g 0.1710 (-1.9130) loss_f 0.3365 (0.1982) loss_d 0.0126 (0.0264) lr 0.0005 epoch [5/25][100/429] time 0.831 (0.832) data 0.000 (0.002) eta 2:03:34 loss_g -1.4762 (-1.8935) loss_f 0.0970 (0.1928) loss_d 0.0356 (0.0251) lr 0.0005 epoch [5/25][110/429] time 0.831 (0.832) data 0.000 (0.002) eta 2:03:23 loss_g -1.7916 (-1.9113) loss_f 0.2967 (0.1950) loss_d 0.0076 (0.0250) lr 0.0005 epoch [5/25][120/429] time 0.831 (0.832) data 0.000 (0.002) eta 2:03:14 loss_g -0.7372 (-1.8847) loss_f 0.4007 (0.1994) loss_d 0.0368 (0.0242) lr 0.0005 epoch [5/25][130/429] time 0.829 (0.832) data 0.000 (0.002) eta 2:03:04 loss_g -1.4551 (-1.8982) loss_f 0.2546 (0.1985) loss_d 0.0083 (0.0241) lr 0.0005 epoch [5/25][140/429] time 0.831 (0.832) data 0.000 (0.002) eta 2:02:55 loss_g -0.4861 (-1.8968) loss_f 0.3914 (0.2047) loss_d 0.0088 (0.0236) lr 0.0005 epoch [5/25][150/429] time 0.831 (0.832) data 0.000 (0.002) eta 2:02:47 loss_g -2.6960 (-1.9244) loss_f 0.1069 (0.2041) loss_d 0.0173 (0.0232) lr 0.0005 epoch [5/25][160/429] time 0.830 (0.832) data 0.000 (0.001) eta 2:02:38 loss_g -3.1254 (-1.9606) loss_f 0.4430 (0.2015) loss_d 0.0106 (0.0225) lr 0.0005 epoch [5/25][170/429] time 0.830 (0.831) data 0.000 (0.001) eta 2:02:29 loss_g -0.3781 (-1.9406) loss_f 0.1083 (0.1958) loss_d 0.0100 (0.0239) lr 0.0005 epoch [5/25][180/429] time 0.823 (0.831) data 0.000 (0.001) eta 2:02:19 loss_g -1.5226 (-1.9712) loss_f 0.2893 (0.1948) loss_d 0.0025 (0.0244) lr 0.0005 epoch [5/25][190/429] time 0.830 (0.831) data 0.000 (0.001) eta 2:02:10 loss_g -2.4739 (-1.9621) loss_f 0.1827 (0.1931) loss_d 0.0054 (0.0244) lr 0.0005 epoch [5/25][200/429] time 0.830 (0.831) data 0.000 (0.001) eta 2:02:01 loss_g -1.8888 (-1.9618) loss_f 0.1628 (0.1934) loss_d 0.1100 (0.0245) lr 0.0005 epoch [5/25][210/429] time 0.832 (0.831) data 0.000 (0.001) eta 2:01:53 loss_g -3.0196 (-1.9705) loss_f 0.3417 (0.1956) loss_d 0.0061 (0.0249) lr 0.0005 epoch [5/25][220/429] time 0.830 (0.831) data 0.000 (0.001) eta 2:01:44 loss_g -2.4487 (-1.9413) loss_f 0.1335 (0.1979) loss_d 0.0024 (0.0251) lr 0.0005 epoch [5/25][230/429] time 0.831 (0.831) data 0.000 (0.001) eta 2:01:35 loss_g -1.6453 (-1.9461) loss_f 0.0890 (0.1974) loss_d 0.0346 (0.0261) lr 0.0005 epoch [5/25][240/429] time 0.832 (0.831) data 0.000 (0.001) eta 2:01:27 loss_g -3.2467 (-1.9753) loss_f 0.3568 (0.1978) loss_d 0.0126 (0.0256) lr 0.0005 epoch [5/25][250/429] time 0.829 (0.831) data 0.000 (0.001) eta 2:01:18 loss_g -3.5827 (-1.9867) loss_f 0.1467 (0.1980) loss_d 0.1409 (0.0262) lr 0.0005 epoch [5/25][260/429] time 0.832 (0.831) data 0.000 (0.001) eta 2:01:10 loss_g -1.9042 (-1.9873) loss_f 0.3455 (0.2000) loss_d 0.0055 (0.0272) lr 0.0005 epoch [5/25][270/429] time 0.828 (0.831) data 0.000 (0.001) eta 2:01:01 loss_g -2.0887 (-2.0111) loss_f 0.2739 (0.2000) loss_d 0.0053 (0.0268) lr 0.0005 epoch [5/25][280/429] time 0.832 (0.831) data 0.000 (0.001) eta 2:00:52 loss_g -1.2924 (-2.0253) loss_f 0.1842 (0.2003) loss_d 0.0013 (0.0269) lr 0.0005 epoch [5/25][290/429] time 0.832 (0.831) data 0.000 (0.001) eta 2:00:44 loss_g -3.0500 (-2.0367) loss_f 0.0719 (0.2001) loss_d 0.0860 (0.0272) lr 0.0005 epoch [5/25][300/429] time 0.831 (0.831) data 0.000 (0.001) eta 2:00:36 loss_g -3.3106 (-2.0339) loss_f 0.1410 (0.2001) loss_d 0.0039 (0.0271) lr 0.0005 epoch [5/25][310/429] time 0.832 (0.831) data 0.000 (0.001) eta 2:00:27 loss_g -2.2626 (-2.0403) loss_f 0.4489 (0.2008) loss_d 0.0744 (0.0270) lr 0.0005 epoch [5/25][320/429] time 0.827 (0.831) data 0.000 (0.001) eta 2:00:19 loss_g -2.0334 (-2.0339) loss_f 0.1502 (0.2004) loss_d 0.0231 (0.0273) lr 0.0005 epoch [5/25][330/429] time 0.830 (0.831) data 0.000 (0.001) eta 2:00:10 loss_g -1.4189 (-2.0342) loss_f 0.0725 (0.1992) loss_d 0.0454 (0.0270) lr 0.0005 epoch [5/25][340/429] time 0.828 (0.831) data 0.000 (0.001) eta 2:00:02 loss_g -2.4348 (-2.0246) loss_f 0.0560 (0.1995) loss_d 0.0655 (0.0267) lr 0.0005 epoch [5/25][350/429] time 0.826 (0.831) data 0.000 (0.001) eta 1:59:53 loss_g -2.1143 (-2.0323) loss_f 0.4630 (0.1977) loss_d 0.0257 (0.0271) lr 0.0005 epoch [5/25][360/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:59:45 loss_g -1.8746 (-2.0376) loss_f 0.5293 (0.1983) loss_d 0.0200 (0.0266) lr 0.0005 epoch [5/25][370/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:59:37 loss_g -2.6025 (-2.0444) loss_f 0.0936 (0.1965) loss_d 0.0052 (0.0261) lr 0.0005 epoch [5/25][380/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:59:28 loss_g -2.9405 (-2.0374) loss_f 0.1918 (0.1973) loss_d 0.0225 (0.0259) lr 0.0005 epoch [5/25][390/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:59:20 loss_g -2.2662 (-2.0406) loss_f 0.2227 (0.1993) loss_d 0.0053 (0.0256) lr 0.0005 epoch [5/25][400/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:59:11 loss_g -3.7933 (-2.0481) loss_f 0.2185 (0.1994) loss_d 0.2014 (0.0256) lr 0.0005 epoch [5/25][410/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:59:03 loss_g -2.9650 (-2.0666) loss_f 0.0321 (0.1973) loss_d 0.0021 (0.0256) lr 0.0005 epoch [5/25][420/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:58:55 loss_g -3.3204 (-2.0607) loss_f 0.1214 (0.1970) loss_d 0.0148 (0.0253) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,727 * accuracy: 73.68% * error: 26.32% epoch [6/25][10/429] time 0.825 (0.853) data 0.000 (0.023) eta 2:01:51 loss_g -1.1919 (-2.2784) loss_f 0.0516 (0.1126) loss_d 0.0071 (0.0213) lr 0.0005 epoch [6/25][20/429] time 0.831 (0.841) data 0.000 (0.012) eta 2:00:01 loss_g -1.6538 (-2.5108) loss_f 0.1929 (0.1137) loss_d 0.0117 (0.0146) lr 0.0005 epoch [6/25][30/429] time 0.832 (0.838) data 0.000 (0.008) eta 1:59:22 loss_g -1.7642 (-2.5658) loss_f 0.2070 (0.1406) loss_d 0.0180 (0.0147) lr 0.0005 epoch [6/25][40/429] time 0.832 (0.836) data 0.000 (0.006) eta 1:59:00 loss_g -1.6209 (-2.3920) loss_f 0.1125 (0.1356) loss_d 0.0020 (0.0137) lr 0.0005 epoch [6/25][50/429] time 0.830 (0.835) data 0.000 (0.005) eta 1:58:40 loss_g -2.9320 (-2.4124) loss_f 0.0433 (0.1439) loss_d 0.0061 (0.0146) lr 0.0005 epoch [6/25][60/429] time 0.832 (0.834) data 0.000 (0.004) eta 1:58:26 loss_g -2.5700 (-2.3543) loss_f 0.1477 (0.1592) loss_d 0.0113 (0.0139) lr 0.0005 epoch [6/25][70/429] time 0.832 (0.834) data 0.000 (0.003) eta 1:58:14 loss_g -1.1269 (-2.2599) loss_f 0.0956 (0.1618) loss_d 0.0402 (0.0143) lr 0.0005 epoch [6/25][80/429] time 0.832 (0.833) data 0.000 (0.003) eta 1:58:03 loss_g -3.0395 (-2.3046) loss_f 0.1511 (0.1692) loss_d 0.0099 (0.0136) lr 0.0005 epoch [6/25][90/429] time 0.832 (0.833) data 0.000 (0.003) eta 1:57:52 loss_g -3.6310 (-2.3422) loss_f 0.2915 (0.1660) loss_d 0.0084 (0.0142) lr 0.0005 epoch [6/25][100/429] time 0.832 (0.833) data 0.000 (0.002) eta 1:57:40 loss_g -1.7204 (-2.3224) loss_f 0.1255 (0.1676) loss_d 0.0017 (0.0137) lr 0.0005 epoch [6/25][110/429] time 0.830 (0.833) data 0.000 (0.002) eta 1:57:31 loss_g -3.1016 (-2.3168) loss_f 0.1799 (0.1680) loss_d 0.0283 (0.0132) lr 0.0005 epoch [6/25][120/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:57:21 loss_g -1.6952 (-2.3129) loss_f 0.0973 (0.1713) loss_d 0.0014 (0.0128) lr 0.0005 epoch [6/25][130/429] time 0.830 (0.832) data 0.000 (0.002) eta 1:57:12 loss_g -3.3176 (-2.2799) loss_f 0.0703 (0.1714) loss_d 0.0015 (0.0130) lr 0.0005 epoch [6/25][140/429] time 0.833 (0.832) data 0.000 (0.002) eta 1:57:03 loss_g -0.4552 (-2.2460) loss_f 0.0206 (0.1688) loss_d 0.0181 (0.0131) lr 0.0005 epoch [6/25][150/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:56:53 loss_g -2.6205 (-2.2421) loss_f 0.2637 (0.1680) loss_d 0.0344 (0.0141) lr 0.0005 epoch [6/25][160/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:56:45 loss_g -2.6285 (-2.2538) loss_f 0.1603 (0.1680) loss_d 0.1196 (0.0161) lr 0.0005 epoch [6/25][170/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:56:36 loss_g -3.3576 (-2.3094) loss_f 0.1209 (0.1646) loss_d 0.0212 (0.0167) lr 0.0005 epoch [6/25][180/429] time 0.829 (0.832) data 0.000 (0.001) eta 1:56:27 loss_g -2.3376 (-2.3167) loss_f 0.2877 (0.1682) loss_d 0.0066 (0.0185) lr 0.0005 epoch [6/25][190/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:56:18 loss_g -0.6773 (-2.3277) loss_f 0.1092 (0.1673) loss_d 0.0365 (0.0199) lr 0.0005 epoch [6/25][200/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:56:09 loss_g -2.5319 (-2.3659) loss_f 0.1652 (0.1667) loss_d 0.0250 (0.0197) lr 0.0005 epoch [6/25][210/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:56:01 loss_g -1.0617 (-2.3584) loss_f 0.0907 (0.1671) loss_d 0.0433 (0.0196) lr 0.0005 epoch [6/25][220/429] time 0.828 (0.832) data 0.000 (0.001) eta 1:55:52 loss_g -3.0975 (-2.3723) loss_f 0.2615 (0.1673) loss_d 0.0149 (0.0195) lr 0.0005 epoch [6/25][230/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:55:44 loss_g -3.5250 (-2.3574) loss_f 0.2906 (0.1697) loss_d 0.0007 (0.0196) lr 0.0005 epoch [6/25][240/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:55:35 loss_g -2.4076 (-2.3532) loss_f 0.5101 (0.1714) loss_d 0.0121 (0.0209) lr 0.0005 epoch [6/25][250/429] time 0.828 (0.832) data 0.000 (0.001) eta 1:55:26 loss_g -2.9254 (-2.3711) loss_f 0.1431 (0.1747) loss_d 0.0162 (0.0209) lr 0.0005 epoch [6/25][260/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:55:18 loss_g -2.3766 (-2.3631) loss_f 0.1651 (0.1737) loss_d 0.0042 (0.0204) lr 0.0005 epoch [6/25][270/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:55:09 loss_g -0.8713 (-2.3508) loss_f 0.1476 (0.1777) loss_d 0.0097 (0.0203) lr 0.0005 epoch [6/25][280/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:55:00 loss_g -2.9113 (-2.3516) loss_f 0.4002 (0.1792) loss_d 0.0152 (0.0216) lr 0.0005 epoch [6/25][290/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:54:52 loss_g -3.2758 (-2.3550) loss_f 0.1528 (0.1787) loss_d 0.0048 (0.0219) lr 0.0005 epoch [6/25][300/429] time 0.827 (0.831) data 0.000 (0.001) eta 1:54:43 loss_g -0.6714 (-2.3705) loss_f 0.1602 (0.1796) loss_d 0.0019 (0.0218) lr 0.0005 epoch [6/25][310/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:54:34 loss_g -3.0375 (-2.3811) loss_f 0.2700 (0.1784) loss_d 0.0429 (0.0215) lr 0.0005 epoch [6/25][320/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:54:26 loss_g -2.4826 (-2.3891) loss_f 0.0830 (0.1782) loss_d 0.0034 (0.0223) lr 0.0005 epoch [6/25][330/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:54:17 loss_g -2.8356 (-2.4026) loss_f 0.1442 (0.1777) loss_d 0.0079 (0.0219) lr 0.0005 epoch [6/25][340/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:54:08 loss_g -3.8701 (-2.4045) loss_f 0.1975 (0.1790) loss_d 0.0029 (0.0218) lr 0.0005 epoch [6/25][350/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:53:59 loss_g -1.6219 (-2.4018) loss_f 0.3366 (0.1820) loss_d 0.0399 (0.0214) lr 0.0005 epoch [6/25][360/429] time 0.828 (0.831) data 0.000 (0.001) eta 1:53:51 loss_g -3.8242 (-2.3943) loss_f 0.2275 (0.1810) loss_d 0.0013 (0.0212) lr 0.0005 epoch [6/25][370/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:53:43 loss_g -4.1426 (-2.3950) loss_f 0.0697 (0.1795) loss_d 0.0405 (0.0213) lr 0.0005 epoch [6/25][380/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:53:35 loss_g -2.0648 (-2.3915) loss_f 0.1745 (0.1806) loss_d 0.0006 (0.0217) lr 0.0005 epoch [6/25][390/429] time 0.829 (0.831) data 0.000 (0.001) eta 1:53:26 loss_g -1.8524 (-2.3967) loss_f 0.0919 (0.1816) loss_d 0.0030 (0.0216) lr 0.0005 epoch [6/25][400/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:53:18 loss_g -3.5707 (-2.3978) loss_f 0.2907 (0.1801) loss_d 0.0013 (0.0217) lr 0.0005 epoch [6/25][410/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:53:09 loss_g -2.7056 (-2.4117) loss_f 0.2653 (0.1812) loss_d 0.0181 (0.0214) lr 0.0005 epoch [6/25][420/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:53:01 loss_g -2.6884 (-2.4278) loss_f 0.1780 (0.1806) loss_d 0.0015 (0.0218) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,732 * accuracy: 73.89% * error: 26.11% epoch [7/25][10/429] time 0.831 (0.853) data 0.000 (0.025) eta 1:55:40 loss_g -3.2518 (-2.5034) loss_f 0.1672 (0.1298) loss_d 0.0005 (0.0173) lr 0.0005 epoch [7/25][20/429] time 0.827 (0.842) data 0.000 (0.012) eta 1:54:04 loss_g -2.2803 (-2.6189) loss_f 0.0157 (0.1316) loss_d 0.0012 (0.0169) lr 0.0005 epoch [7/25][30/429] time 0.829 (0.837) data 0.000 (0.008) eta 1:53:17 loss_g -3.8943 (-2.8280) loss_f 0.1469 (0.1334) loss_d 0.0634 (0.0184) lr 0.0005 epoch [7/25][40/429] time 0.831 (0.836) data 0.000 (0.006) eta 1:52:56 loss_g -4.0706 (-2.9507) loss_f 0.0755 (0.1378) loss_d 0.0042 (0.0144) lr 0.0005 epoch [7/25][50/429] time 0.831 (0.834) data 0.000 (0.005) eta 1:52:39 loss_g -4.4682 (-2.8947) loss_f 0.1926 (0.1461) loss_d 0.0012 (0.0153) lr 0.0005 epoch [7/25][60/429] time 0.832 (0.834) data 0.000 (0.004) eta 1:52:24 loss_g -4.2491 (-2.9003) loss_f 0.0456 (0.1396) loss_d 0.0035 (0.0141) lr 0.0005 epoch [7/25][70/429] time 0.831 (0.833) data 0.000 (0.004) eta 1:52:13 loss_g -2.8669 (-2.9708) loss_f 0.0572 (0.1393) loss_d 0.0163 (0.0127) lr 0.0005 epoch [7/25][80/429] time 0.831 (0.833) data 0.000 (0.003) eta 1:52:01 loss_g -3.5830 (-2.8836) loss_f 0.0615 (0.1395) loss_d 0.0507 (0.0147) lr 0.0005 epoch [7/25][90/429] time 0.833 (0.833) data 0.000 (0.003) eta 1:51:52 loss_g -3.4811 (-2.9433) loss_f 0.2030 (0.1407) loss_d 0.0018 (0.0162) lr 0.0005 epoch [7/25][100/429] time 0.831 (0.832) data 0.000 (0.003) eta 1:51:41 loss_g -2.0080 (-2.8677) loss_f 0.1537 (0.1407) loss_d 0.0240 (0.0157) lr 0.0005 epoch [7/25][110/429] time 0.832 (0.832) data 0.000 (0.002) eta 1:51:32 loss_g -2.4981 (-2.8523) loss_f 0.2566 (0.1423) loss_d 0.0021 (0.0151) lr 0.0005 epoch [7/25][120/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:51:22 loss_g -3.2119 (-2.8548) loss_f 0.0478 (0.1415) loss_d 0.0020 (0.0153) lr 0.0005 epoch [7/25][130/429] time 0.830 (0.832) data 0.000 (0.002) eta 1:51:13 loss_g -2.6012 (-2.8565) loss_f 0.3730 (0.1431) loss_d 0.0055 (0.0151) lr 0.0005 epoch [7/25][140/429] time 0.827 (0.832) data 0.000 (0.002) eta 1:51:04 loss_g -1.4670 (-2.8166) loss_f 0.0683 (0.1425) loss_d 0.0122 (0.0158) lr 0.0005 epoch [7/25][150/429] time 0.830 (0.832) data 0.000 (0.002) eta 1:50:54 loss_g -4.7066 (-2.8374) loss_f 0.0999 (0.1416) loss_d 0.0052 (0.0159) lr 0.0005 epoch [7/25][160/429] time 0.830 (0.832) data 0.000 (0.002) eta 1:50:46 loss_g -4.5620 (-2.8663) loss_f 0.1146 (0.1448) loss_d 0.0218 (0.0162) lr 0.0005 epoch [7/25][170/429] time 0.830 (0.832) data 0.000 (0.002) eta 1:50:36 loss_g -2.2863 (-2.8729) loss_f 0.2050 (0.1444) loss_d 0.0724 (0.0168) lr 0.0005 epoch [7/25][180/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:50:28 loss_g -1.1262 (-2.8619) loss_f 0.4181 (0.1451) loss_d 0.0041 (0.0163) lr 0.0005 epoch [7/25][190/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:50:19 loss_g -2.6876 (-2.8738) loss_f 0.2328 (0.1448) loss_d 0.0101 (0.0157) lr 0.0005 epoch [7/25][200/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:50:10 loss_g -1.6509 (-2.8893) loss_f 0.2190 (0.1482) loss_d 0.0445 (0.0161) lr 0.0005 epoch [7/25][210/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:50:02 loss_g -3.1827 (-2.8871) loss_f 0.0379 (0.1491) loss_d 0.0023 (0.0161) lr 0.0005 epoch [7/25][220/429] time 0.821 (0.831) data 0.000 (0.001) eta 1:49:53 loss_g -1.6087 (-2.8684) loss_f 0.0763 (0.1480) loss_d 0.0013 (0.0161) lr 0.0005 epoch [7/25][230/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:49:44 loss_g -2.8877 (-2.8647) loss_f 0.1282 (0.1489) loss_d 0.0072 (0.0161) lr 0.0005 epoch [7/25][240/429] time 0.827 (0.831) data 0.000 (0.001) eta 1:49:36 loss_g -0.9654 (-2.8302) loss_f 0.0247 (0.1504) loss_d 0.0086 (0.0159) lr 0.0005 epoch [7/25][250/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:49:28 loss_g -1.1907 (-2.8013) loss_f 0.1470 (0.1503) loss_d 0.0017 (0.0155) lr 0.0005 epoch [7/25][260/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:49:19 loss_g -3.3146 (-2.8007) loss_f 0.1001 (0.1502) loss_d 0.0009 (0.0151) lr 0.0005 epoch [7/25][270/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:49:11 loss_g -2.3148 (-2.8042) loss_f 0.1962 (0.1508) loss_d 0.0067 (0.0153) lr 0.0005 epoch [7/25][280/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:49:02 loss_g -3.3896 (-2.8037) loss_f 0.0398 (0.1500) loss_d 0.0054 (0.0160) lr 0.0005 epoch [7/25][290/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:48:54 loss_g -4.6401 (-2.8101) loss_f 0.1014 (0.1515) loss_d 0.0014 (0.0157) lr 0.0005 epoch [7/25][300/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:48:46 loss_g -2.8517 (-2.8289) loss_f 0.1249 (0.1502) loss_d 0.0103 (0.0158) lr 0.0005 epoch [7/25][310/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:48:38 loss_g -3.8673 (-2.8274) loss_f 0.1859 (0.1505) loss_d 0.0021 (0.0156) lr 0.0005 epoch [7/25][320/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:48:29 loss_g -5.0389 (-2.8328) loss_f 0.0549 (0.1503) loss_d 0.0026 (0.0156) lr 0.0005 epoch [7/25][330/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:48:21 loss_g -1.7382 (-2.8336) loss_f 0.1436 (0.1496) loss_d 0.0006 (0.0153) lr 0.0005 epoch [7/25][340/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:48:12 loss_g -0.6575 (-2.8176) loss_f 0.1113 (0.1509) loss_d 0.0021 (0.0162) lr 0.0005 epoch [7/25][350/429] time 0.828 (0.831) data 0.000 (0.001) eta 1:48:04 loss_g -1.7784 (-2.8311) loss_f 0.0910 (0.1516) loss_d 0.0016 (0.0169) lr 0.0005 epoch [7/25][360/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:47:55 loss_g -4.1986 (-2.8482) loss_f 0.0586 (0.1519) loss_d 0.0327 (0.0167) lr 0.0005 epoch [7/25][370/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:47:47 loss_g -3.5877 (-2.8633) loss_f 0.0707 (0.1517) loss_d 0.0623 (0.0173) lr 0.0005 epoch [7/25][380/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:47:38 loss_g -2.2634 (-2.8464) loss_f 0.1669 (0.1535) loss_d 0.0030 (0.0176) lr 0.0005 epoch [7/25][390/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:47:30 loss_g -3.1995 (-2.8463) loss_f 0.0215 (0.1531) loss_d 0.0039 (0.0173) lr 0.0005 epoch [7/25][400/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:47:22 loss_g -2.5250 (-2.8351) loss_f 0.0612 (0.1529) loss_d 0.0023 (0.0171) lr 0.0005 epoch [7/25][410/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:47:13 loss_g -1.7316 (-2.8418) loss_f 0.1485 (0.1518) loss_d 0.0128 (0.0170) lr 0.0005 epoch [7/25][420/429] time 0.828 (0.831) data 0.000 (0.001) eta 1:47:05 loss_g -1.9252 (-2.8330) loss_f 0.2665 (0.1538) loss_d 0.0357 (0.0170) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,556 * accuracy: 66.38% * error: 33.62% epoch [8/25][10/429] time 0.832 (0.854) data 0.000 (0.025) eta 1:49:48 loss_g -4.1112 (-2.9404) loss_f 0.0797 (0.1545) loss_d 0.0035 (0.0077) lr 0.0005 epoch [8/25][20/429] time 0.832 (0.843) data 0.000 (0.012) eta 1:48:13 loss_g -0.5062 (-2.2476) loss_f 0.1972 (0.1723) loss_d 0.0015 (0.0168) lr 0.0005 epoch [8/25][30/429] time 0.827 (0.838) data 0.000 (0.008) eta 1:47:27 loss_g -4.4477 (-2.5441) loss_f 0.1423 (0.1610) loss_d 0.0379 (0.0225) lr 0.0005 epoch [8/25][40/429] time 0.829 (0.836) data 0.000 (0.006) eta 1:47:04 loss_g -3.2774 (-2.6073) loss_f 0.0496 (0.1601) loss_d 0.0007 (0.0205) lr 0.0005 epoch [8/25][50/429] time 0.832 (0.835) data 0.000 (0.005) eta 1:46:47 loss_g -3.5153 (-2.6838) loss_f 0.2861 (0.1612) loss_d 0.0459 (0.0191) lr 0.0005 epoch [8/25][60/429] time 0.832 (0.835) data 0.000 (0.004) eta 1:46:34 loss_g -2.9159 (-2.7080) loss_f 0.0406 (0.1608) loss_d 0.0760 (0.0178) lr 0.0005 epoch [8/25][70/429] time 0.832 (0.834) data 0.000 (0.004) eta 1:46:21 loss_g -3.8477 (-2.7740) loss_f 0.1300 (0.1576) loss_d 0.0015 (0.0162) lr 0.0005 epoch [8/25][80/429] time 0.831 (0.834) data 0.000 (0.003) eta 1:46:10 loss_g -4.4898 (-2.8505) loss_f 0.1100 (0.1503) loss_d 0.0035 (0.0167) lr 0.0005 epoch [8/25][90/429] time 0.832 (0.833) data 0.000 (0.003) eta 1:45:59 loss_g -1.4963 (-2.8234) loss_f 0.0310 (0.1515) loss_d 0.0148 (0.0157) lr 0.0005 epoch [8/25][100/429] time 0.825 (0.833) data 0.000 (0.003) eta 1:45:48 loss_g -2.9587 (-2.8232) loss_f 0.0794 (0.1502) loss_d 0.0027 (0.0148) lr 0.0005 epoch [8/25][110/429] time 0.831 (0.833) data 0.000 (0.002) eta 1:45:38 loss_g -3.0692 (-2.8333) loss_f 0.0999 (0.1471) loss_d 0.0005 (0.0151) lr 0.0005 epoch [8/25][120/429] time 0.833 (0.833) data 0.000 (0.002) eta 1:45:29 loss_g -2.5688 (-2.8235) loss_f 0.0555 (0.1478) loss_d 0.0008 (0.0144) lr 0.0005 epoch [8/25][130/429] time 0.828 (0.833) data 0.000 (0.002) eta 1:45:20 loss_g -3.6415 (-2.8252) loss_f 0.0815 (0.1534) loss_d 0.0078 (0.0136) lr 0.0005 epoch [8/25][140/429] time 0.832 (0.832) data 0.000 (0.002) eta 1:45:11 loss_g -2.8990 (-2.8430) loss_f 0.1737 (0.1526) loss_d 0.0034 (0.0129) lr 0.0005 epoch [8/25][150/429] time 0.828 (0.832) data 0.000 (0.002) eta 1:45:01 loss_g -3.7720 (-2.9047) loss_f 0.1528 (0.1485) loss_d 0.0940 (0.0129) lr 0.0005 epoch [8/25][160/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:44:51 loss_g -3.0972 (-2.9162) loss_f 0.0554 (0.1482) loss_d 0.0013 (0.0139) lr 0.0005 epoch [8/25][170/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:44:42 loss_g -1.3323 (-2.9250) loss_f 0.1562 (0.1471) loss_d 0.0719 (0.0138) lr 0.0005 epoch [8/25][180/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:44:33 loss_g -2.8377 (-2.9262) loss_f 0.2393 (0.1485) loss_d 0.0119 (0.0140) lr 0.0005 epoch [8/25][190/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:44:24 loss_g -1.8507 (-2.9327) loss_f 0.2097 (0.1481) loss_d 0.0030 (0.0142) lr 0.0005 epoch [8/25][200/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:44:15 loss_g -4.6582 (-2.9456) loss_f 0.0656 (0.1492) loss_d 0.4130 (0.0162) lr 0.0005 epoch [8/25][210/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:44:07 loss_g -1.2335 (-2.9398) loss_f 0.2120 (0.1492) loss_d 0.0107 (0.0162) lr 0.0005 epoch [8/25][220/429] time 0.828 (0.832) data 0.000 (0.001) eta 1:43:58 loss_g -4.3699 (-2.9103) loss_f 0.0493 (0.1477) loss_d 0.0007 (0.0171) lr 0.0005 epoch [8/25][230/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:43:49 loss_g -1.0179 (-2.9002) loss_f 0.2791 (0.1505) loss_d 0.0136 (0.0166) lr 0.0005 epoch [8/25][240/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:43:41 loss_g -1.8553 (-2.9137) loss_f 0.2889 (0.1527) loss_d 0.0075 (0.0168) lr 0.0005 epoch [8/25][250/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:43:32 loss_g -4.3388 (-2.9297) loss_f 0.1409 (0.1506) loss_d 0.0033 (0.0162) lr 0.0005 epoch [8/25][260/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:43:24 loss_g -3.3146 (-2.9365) loss_f 0.0808 (0.1503) loss_d 0.0014 (0.0159) lr 0.0005 epoch [8/25][270/429] time 0.829 (0.831) data 0.000 (0.001) eta 1:43:15 loss_g -1.8985 (-2.9591) loss_f 0.1504 (0.1489) loss_d 0.0076 (0.0158) lr 0.0005 epoch [8/25][280/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:43:07 loss_g -2.1210 (-2.9970) loss_f 0.4536 (0.1484) loss_d 0.0038 (0.0156) lr 0.0005 epoch [8/25][290/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:42:58 loss_g -2.0430 (-2.9988) loss_f 0.2092 (0.1478) loss_d 0.0295 (0.0156) lr 0.0005 epoch [8/25][300/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:42:50 loss_g -3.5502 (-2.9971) loss_f 0.2224 (0.1493) loss_d 0.0008 (0.0152) lr 0.0005 epoch [8/25][310/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:42:41 loss_g -1.6810 (-3.0079) loss_f 0.0856 (0.1477) loss_d 0.0031 (0.0149) lr 0.0005 epoch [8/25][320/429] time 0.829 (0.831) data 0.000 (0.001) eta 1:42:33 loss_g -2.4560 (-3.0069) loss_f 0.1211 (0.1492) loss_d 0.0010 (0.0145) lr 0.0005 epoch [8/25][330/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:42:25 loss_g -3.3138 (-3.0210) loss_f 0.1381 (0.1491) loss_d 0.0075 (0.0149) lr 0.0005 epoch [8/25][340/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:42:16 loss_g -3.0349 (-3.0229) loss_f 0.0436 (0.1503) loss_d 0.0008 (0.0146) lr 0.0005 epoch [8/25][350/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:42:08 loss_g -2.7817 (-3.0253) loss_f 0.1119 (0.1493) loss_d 0.0014 (0.0143) lr 0.0005 epoch [8/25][360/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:42:00 loss_g -2.9916 (-3.0209) loss_f 0.2432 (0.1491) loss_d 0.0098 (0.0143) lr 0.0005 epoch [8/25][370/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:41:51 loss_g -2.8459 (-3.0097) loss_f 0.2266 (0.1507) loss_d 0.0875 (0.0147) lr 0.0005 epoch [8/25][380/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:41:43 loss_g -3.0005 (-3.0040) loss_f 0.1802 (0.1500) loss_d 0.0021 (0.0144) lr 0.0005 epoch [8/25][390/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:41:35 loss_g -2.8991 (-3.0013) loss_f 0.0954 (0.1486) loss_d 0.0014 (0.0142) lr 0.0005 epoch [8/25][400/429] time 0.824 (0.831) data 0.000 (0.001) eta 1:41:26 loss_g -4.0676 (-3.0025) loss_f 0.2573 (0.1484) loss_d 0.0416 (0.0144) lr 0.0005 epoch [8/25][410/429] time 0.829 (0.831) data 0.000 (0.001) eta 1:41:18 loss_g -2.3356 (-2.9953) loss_f 0.2087 (0.1483) loss_d 0.0045 (0.0142) lr 0.0005 epoch [8/25][420/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:41:09 loss_g -3.1912 (-2.9985) loss_f 0.3725 (0.1485) loss_d 0.0030 (0.0141) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,757 * accuracy: 74.96% * error: 25.04% epoch [9/25][10/429] time 0.831 (0.855) data 0.000 (0.024) eta 1:43:44 loss_g -2.6827 (-2.6933) loss_f 0.0471 (0.0782) loss_d 0.0498 (0.0076) lr 0.0005 epoch [9/25][20/429] time 0.831 (0.842) data 0.000 (0.012) eta 1:42:06 loss_g -2.4142 (-3.1930) loss_f 0.0827 (0.1189) loss_d 0.0046 (0.0082) lr 0.0005 epoch [9/25][30/429] time 0.831 (0.838) data 0.000 (0.008) eta 1:41:26 loss_g -3.5923 (-3.2218) loss_f 0.0099 (0.1204) loss_d 0.0638 (0.0120) lr 0.0005 epoch [9/25][40/429] time 0.833 (0.836) data 0.000 (0.006) eta 1:41:05 loss_g -4.5419 (-3.3857) loss_f 0.1039 (0.1128) loss_d 0.0009 (0.0148) lr 0.0005 epoch [9/25][50/429] time 0.829 (0.835) data 0.000 (0.005) eta 1:40:46 loss_g -4.1445 (-3.4428) loss_f 0.0768 (0.1205) loss_d 0.0002 (0.0151) lr 0.0005 epoch [9/25][60/429] time 0.831 (0.834) data 0.000 (0.004) eta 1:40:31 loss_g -2.2761 (-3.4093) loss_f 0.0495 (0.1137) loss_d 0.0092 (0.0134) lr 0.0005 epoch [9/25][70/429] time 0.825 (0.833) data 0.000 (0.004) eta 1:40:17 loss_g -4.7759 (-3.4830) loss_f 0.0599 (0.1169) loss_d 0.0055 (0.0120) lr 0.0005 epoch [9/25][80/429] time 0.832 (0.833) data 0.000 (0.003) eta 1:40:06 loss_g -3.9838 (-3.4816) loss_f 0.0764 (0.1254) loss_d 0.0027 (0.0109) lr 0.0005 epoch [9/25][90/429] time 0.824 (0.832) data 0.000 (0.003) eta 1:39:55 loss_g -2.0483 (-3.3704) loss_f 0.1731 (0.1271) loss_d 0.0014 (0.0106) lr 0.0005 epoch [9/25][100/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:39:45 loss_g -1.4055 (-3.3481) loss_f 0.0487 (0.1261) loss_d 0.0231 (0.0105) lr 0.0005 epoch [9/25][110/429] time 0.828 (0.832) data 0.000 (0.002) eta 1:39:36 loss_g -4.1597 (-3.3671) loss_f 0.0634 (0.1256) loss_d 0.0002 (0.0099) lr 0.0005 epoch [9/25][120/429] time 0.832 (0.832) data 0.000 (0.002) eta 1:39:27 loss_g -3.7214 (-3.3667) loss_f 0.0439 (0.1224) loss_d 0.0023 (0.0094) lr 0.0005 epoch [9/25][130/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:39:17 loss_g -4.6441 (-3.3786) loss_f 0.1246 (0.1215) loss_d 0.1385 (0.0100) lr 0.0005 epoch [9/25][140/429] time 0.826 (0.832) data 0.000 (0.002) eta 1:39:08 loss_g -2.8505 (-3.4047) loss_f 0.0577 (0.1220) loss_d 0.0143 (0.0107) lr 0.0005 epoch [9/25][150/429] time 0.830 (0.832) data 0.000 (0.002) eta 1:39:00 loss_g -3.7751 (-3.3926) loss_f 0.0486 (0.1208) loss_d 0.0008 (0.0107) lr 0.0005 epoch [9/25][160/429] time 0.830 (0.832) data 0.000 (0.002) eta 1:38:51 loss_g -2.9437 (-3.4073) loss_f 0.0787 (0.1189) loss_d 0.0056 (0.0104) lr 0.0005 epoch [9/25][170/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:38:42 loss_g -2.4083 (-3.4206) loss_f 0.3386 (0.1216) loss_d 0.0012 (0.0105) lr 0.0005 epoch [9/25][180/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:38:34 loss_g -5.4854 (-3.4072) loss_f 0.0430 (0.1262) loss_d 0.0308 (0.0103) lr 0.0005 epoch [9/25][190/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:38:25 loss_g -3.8133 (-3.4150) loss_f 0.0212 (0.1292) loss_d 0.0103 (0.0101) lr 0.0005 epoch [9/25][200/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:38:16 loss_g -3.2561 (-3.4035) loss_f 0.0619 (0.1307) loss_d 0.0101 (0.0105) lr 0.0005 epoch [9/25][210/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:38:08 loss_g -2.5832 (-3.4298) loss_f 0.1368 (0.1312) loss_d 0.0020 (0.0104) lr 0.0005 epoch [9/25][220/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:38:00 loss_g -3.6406 (-3.4074) loss_f 0.0194 (0.1312) loss_d 0.0075 (0.0103) lr 0.0005 epoch [9/25][230/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:37:51 loss_g -3.8573 (-3.4075) loss_f 0.2057 (0.1296) loss_d 0.0013 (0.0100) lr 0.0005 epoch [9/25][240/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:37:43 loss_g -3.0024 (-3.4258) loss_f 0.1328 (0.1284) loss_d 0.0019 (0.0098) lr 0.0005 epoch [9/25][250/429] time 0.829 (0.831) data 0.000 (0.001) eta 1:37:35 loss_g -2.7739 (-3.4419) loss_f 0.0852 (0.1283) loss_d 0.0086 (0.0095) lr 0.0005 epoch [9/25][260/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:37:26 loss_g -4.4813 (-3.4562) loss_f 0.1270 (0.1277) loss_d 0.0553 (0.0094) lr 0.0005 epoch [9/25][270/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:37:18 loss_g -4.6772 (-3.4592) loss_f 0.3083 (0.1283) loss_d 0.0100 (0.0098) lr 0.0005 epoch [9/25][280/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:37:10 loss_g -3.2577 (-3.4450) loss_f 0.1786 (0.1295) loss_d 0.0114 (0.0097) lr 0.0005 epoch [9/25][290/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:37:01 loss_g -3.7093 (-3.4529) loss_f 0.0259 (0.1290) loss_d 0.0030 (0.0100) lr 0.0005 epoch [9/25][300/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:36:53 loss_g -4.0953 (-3.4553) loss_f 0.0439 (0.1283) loss_d 0.0003 (0.0102) lr 0.0005 epoch [9/25][310/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:36:45 loss_g -5.7035 (-3.4770) loss_f 0.0513 (0.1289) loss_d 0.1547 (0.0105) lr 0.0005 epoch [9/25][320/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:36:36 loss_g -2.9154 (-3.4722) loss_f 0.0348 (0.1276) loss_d 0.0013 (0.0104) lr 0.0005 epoch [9/25][330/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:36:28 loss_g -2.5398 (-3.4640) loss_f 0.2178 (0.1274) loss_d 0.0361 (0.0103) lr 0.0005 epoch [9/25][340/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:36:20 loss_g -2.9782 (-3.4680) loss_f 0.0807 (0.1277) loss_d 0.0024 (0.0101) lr 0.0005 epoch [9/25][350/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:36:12 loss_g -3.4289 (-3.4601) loss_f 0.1296 (0.1292) loss_d 0.0014 (0.0101) lr 0.0005 epoch [9/25][360/429] time 0.826 (0.831) data 0.000 (0.001) eta 1:36:03 loss_g -3.2704 (-3.4665) loss_f 0.0279 (0.1286) loss_d 0.0018 (0.0099) lr 0.0005 epoch [9/25][370/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:35:54 loss_g -3.6032 (-3.4728) loss_f 0.1977 (0.1274) loss_d 0.0009 (0.0099) lr 0.0005 epoch [9/25][380/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:35:46 loss_g -3.3266 (-3.4795) loss_f 0.0346 (0.1267) loss_d 0.0189 (0.0097) lr 0.0005 epoch [9/25][390/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:35:37 loss_g -4.0384 (-3.5024) loss_f 0.0145 (0.1259) loss_d 0.0100 (0.0096) lr 0.0005 epoch [9/25][400/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:35:29 loss_g -5.7502 (-3.5196) loss_f 0.1479 (0.1263) loss_d 0.0009 (0.0094) lr 0.0005 epoch [9/25][410/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:35:21 loss_g -4.6317 (-3.5271) loss_f 0.1235 (0.1261) loss_d 0.0003 (0.0093) lr 0.0005 epoch [9/25][420/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:35:12 loss_g -2.9566 (-3.5365) loss_f 0.3206 (0.1261) loss_d 0.0032 (0.0096) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,750 * accuracy: 74.66% * error: 25.34% epoch [10/25][10/429] time 0.824 (0.854) data 0.000 (0.026) eta 1:37:32 loss_g -5.6564 (-3.6825) loss_f 0.0896 (0.1447) loss_d 0.0193 (0.0154) lr 0.0005 epoch [10/25][20/429] time 0.833 (0.842) data 0.000 (0.013) eta 1:36:02 loss_g -3.6162 (-3.7221) loss_f 0.0624 (0.1376) loss_d 0.0049 (0.0102) lr 0.0005 epoch [10/25][30/429] time 0.829 (0.838) data 0.000 (0.009) eta 1:35:25 loss_g -4.9908 (-4.0800) loss_f 0.0508 (0.1233) loss_d 0.0006 (0.0105) lr 0.0005 epoch [10/25][40/429] time 0.831 (0.836) data 0.000 (0.007) eta 1:35:06 loss_g -3.5416 (-3.9653) loss_f 0.0475 (0.1100) loss_d 0.0006 (0.0090) lr 0.0005 epoch [10/25][50/429] time 0.830 (0.835) data 0.000 (0.005) eta 1:34:50 loss_g -1.6479 (-3.7659) loss_f 0.1555 (0.1112) loss_d 0.0006 (0.0090) lr 0.0005 epoch [10/25][60/429] time 0.828 (0.834) data 0.000 (0.004) eta 1:34:37 loss_g -4.9515 (-3.9278) loss_f 0.1484 (0.1067) loss_d 0.0355 (0.0085) lr 0.0005 epoch [10/25][70/429] time 0.832 (0.834) data 0.000 (0.004) eta 1:34:26 loss_g -5.2277 (-3.9990) loss_f 0.0695 (0.1030) loss_d 0.0079 (0.0078) lr 0.0005 epoch [10/25][80/429] time 0.832 (0.834) data 0.000 (0.003) eta 1:34:15 loss_g -3.8853 (-3.8830) loss_f 0.1883 (0.1046) loss_d 0.0021 (0.0101) lr 0.0005 epoch [10/25][90/429] time 0.832 (0.833) data 0.000 (0.003) eta 1:34:05 loss_g -2.7894 (-3.8935) loss_f 0.1162 (0.1041) loss_d 0.0005 (0.0108) lr 0.0005 epoch [10/25][100/429] time 0.833 (0.833) data 0.000 (0.003) eta 1:33:56 loss_g -3.8484 (-3.8280) loss_f 0.0729 (0.1055) loss_d 0.0006 (0.0126) lr 0.0005 epoch [10/25][110/429] time 0.833 (0.833) data 0.000 (0.002) eta 1:33:47 loss_g -3.6781 (-3.8385) loss_f 0.0123 (0.1005) loss_d 0.0079 (0.0119) lr 0.0005 epoch [10/25][120/429] time 0.833 (0.833) data 0.000 (0.002) eta 1:33:36 loss_g -2.5941 (-3.8171) loss_f 0.3635 (0.1091) loss_d 0.0016 (0.0133) lr 0.0005 epoch [10/25][130/429] time 0.831 (0.833) data 0.000 (0.002) eta 1:33:27 loss_g -1.5450 (-3.7772) loss_f 0.0412 (0.1086) loss_d 0.0052 (0.0126) lr 0.0005 epoch [10/25][140/429] time 0.829 (0.833) data 0.000 (0.002) eta 1:33:18 loss_g -4.7758 (-3.8033) loss_f 0.0377 (0.1069) loss_d 0.0150 (0.0122) lr 0.0005 epoch [10/25][150/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:33:09 loss_g -0.8936 (-3.8058) loss_f 0.0972 (0.1067) loss_d 0.0128 (0.0125) lr 0.0005 epoch [10/25][160/429] time 0.833 (0.832) data 0.000 (0.002) eta 1:33:00 loss_g -4.5761 (-3.8516) loss_f 0.1434 (0.1055) loss_d 0.0018 (0.0123) lr 0.0005 epoch [10/25][170/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:32:50 loss_g -3.1067 (-3.8091) loss_f 0.3140 (0.1047) loss_d 0.0095 (0.0123) lr 0.0005 epoch [10/25][180/429] time 0.829 (0.832) data 0.000 (0.002) eta 1:32:42 loss_g -4.4346 (-3.8238) loss_f 0.1231 (0.1043) loss_d 0.0005 (0.0120) lr 0.0005 epoch [10/25][190/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:32:33 loss_g -2.4430 (-3.8556) loss_f 0.0592 (0.1033) loss_d 0.0068 (0.0118) lr 0.0005 epoch [10/25][200/429] time 0.828 (0.832) data 0.000 (0.001) eta 1:32:24 loss_g -3.8341 (-3.8538) loss_f 0.1034 (0.1036) loss_d 0.0082 (0.0117) lr 0.0005 epoch [10/25][210/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:32:15 loss_g -4.2443 (-3.8705) loss_f 0.0798 (0.1039) loss_d 0.0578 (0.0124) lr 0.0005 epoch [10/25][220/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:32:06 loss_g -5.2335 (-3.8501) loss_f 0.1049 (0.1040) loss_d 0.0017 (0.0119) lr 0.0005 epoch [10/25][230/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:31:57 loss_g -3.7503 (-3.8443) loss_f 0.0525 (0.1055) loss_d 0.0008 (0.0117) lr 0.0005 epoch [10/25][240/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:31:49 loss_g -5.6440 (-3.8461) loss_f 0.1077 (0.1046) loss_d 0.0045 (0.0118) lr 0.0005 epoch [10/25][250/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:31:41 loss_g -3.5791 (-3.8313) loss_f 0.1507 (0.1061) loss_d 0.0006 (0.0114) lr 0.0005 epoch [10/25][260/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:31:32 loss_g -2.6348 (-3.8314) loss_f 0.2811 (0.1066) loss_d 0.0005 (0.0111) lr 0.0005 epoch [10/25][270/429] time 0.829 (0.832) data 0.000 (0.001) eta 1:31:23 loss_g -3.6690 (-3.8357) loss_f 0.0581 (0.1066) loss_d 0.0165 (0.0108) lr 0.0005 epoch [10/25][280/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:31:15 loss_g -4.3639 (-3.8402) loss_f 0.2383 (0.1074) loss_d 0.0009 (0.0108) lr 0.0005 epoch [10/25][290/429] time 0.824 (0.831) data 0.000 (0.001) eta 1:31:06 loss_g -2.5060 (-3.8427) loss_f 0.0360 (0.1063) loss_d 0.0040 (0.0106) lr 0.0005 epoch [10/25][300/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:30:57 loss_g -4.8464 (-3.8417) loss_f 0.3471 (0.1076) loss_d 0.0029 (0.0104) lr 0.0005 epoch [10/25][310/429] time 0.828 (0.831) data 0.000 (0.001) eta 1:30:49 loss_g -2.3111 (-3.8229) loss_f 0.0879 (0.1068) loss_d 0.0003 (0.0105) lr 0.0005 epoch [10/25][320/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:30:40 loss_g -1.7640 (-3.8152) loss_f 0.0612 (0.1077) loss_d 0.0011 (0.0104) lr 0.0005 epoch [10/25][330/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:30:32 loss_g -5.6673 (-3.8031) loss_f 0.0874 (0.1072) loss_d 0.0059 (0.0102) lr 0.0005 epoch [10/25][340/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:30:24 loss_g -3.7322 (-3.8038) loss_f 0.1100 (0.1092) loss_d 0.0007 (0.0099) lr 0.0005 epoch [10/25][350/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:30:15 loss_g -6.0301 (-3.8194) loss_f 0.0457 (0.1084) loss_d 0.0061 (0.0098) lr 0.0005 epoch [10/25][360/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:30:07 loss_g -2.5738 (-3.8075) loss_f 0.1409 (0.1086) loss_d 0.0040 (0.0097) lr 0.0005 epoch [10/25][370/429] time 0.828 (0.831) data 0.000 (0.001) eta 1:29:59 loss_g -3.7776 (-3.7984) loss_f 0.1164 (0.1084) loss_d 0.0002 (0.0095) lr 0.0005 epoch [10/25][380/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:29:50 loss_g -5.9527 (-3.7921) loss_f 0.0262 (0.1079) loss_d 0.0003 (0.0093) lr 0.0005 epoch [10/25][390/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:29:42 loss_g -1.8337 (-3.8087) loss_f 0.0684 (0.1069) loss_d 0.0055 (0.0092) lr 0.0005 epoch [10/25][400/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:29:34 loss_g -4.5598 (-3.8185) loss_f 0.0546 (0.1094) loss_d 0.0003 (0.0090) lr 0.0005 epoch [10/25][410/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:29:25 loss_g -3.8183 (-3.8283) loss_f 0.2852 (0.1091) loss_d 0.0022 (0.0089) lr 0.0005 epoch [10/25][420/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:29:17 loss_g -2.0831 (-3.8122) loss_f 0.1118 (0.1107) loss_d 0.0026 (0.0091) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,697 * accuracy: 72.40% * error: 27.60% epoch [11/25][10/429] time 0.831 (0.855) data 0.000 (0.027) eta 1:31:32 loss_g -3.6595 (-4.6341) loss_f 0.0924 (0.0719) loss_d 0.0029 (0.0167) lr 0.0005 epoch [11/25][20/429] time 0.831 (0.842) data 0.000 (0.013) eta 1:30:03 loss_g -4.7004 (-4.2392) loss_f 0.0367 (0.1020) loss_d 0.0007 (0.0108) lr 0.0005 epoch [11/25][30/429] time 0.829 (0.838) data 0.000 (0.009) eta 1:29:29 loss_g -4.4223 (-4.1941) loss_f 0.0393 (0.0972) loss_d 0.0042 (0.0130) lr 0.0005 epoch [11/25][40/429] time 0.831 (0.836) data 0.000 (0.007) eta 1:29:08 loss_g -4.4648 (-4.3248) loss_f 0.1225 (0.0967) loss_d 0.0028 (0.0149) lr 0.0005 epoch [11/25][50/429] time 0.831 (0.836) data 0.000 (0.005) eta 1:28:54 loss_g -2.8096 (-4.3007) loss_f 0.0438 (0.0919) loss_d 0.0006 (0.0140) lr 0.0005 epoch [11/25][60/429] time 0.832 (0.835) data 0.000 (0.004) eta 1:28:43 loss_g -4.2026 (-4.1889) loss_f 0.1027 (0.0931) loss_d 0.0140 (0.0126) lr 0.0005 epoch [11/25][70/429] time 0.827 (0.834) data 0.000 (0.004) eta 1:28:31 loss_g -3.6818 (-4.1870) loss_f 0.0341 (0.0950) loss_d 0.0002 (0.0112) lr 0.0005 epoch [11/25][80/429] time 0.833 (0.834) data 0.000 (0.003) eta 1:28:20 loss_g -2.9763 (-4.1951) loss_f 0.1786 (0.1014) loss_d 0.0082 (0.0126) lr 0.0005 epoch [11/25][90/429] time 0.832 (0.834) data 0.000 (0.003) eta 1:28:10 loss_g -3.2273 (-4.1018) loss_f 0.2782 (0.1073) loss_d 0.0196 (0.0118) lr 0.0005 epoch [11/25][100/429] time 0.831 (0.833) data 0.000 (0.003) eta 1:27:59 loss_g -5.5415 (-4.1104) loss_f 0.0729 (0.1067) loss_d 0.0072 (0.0117) lr 0.0005 epoch [11/25][110/429] time 0.831 (0.833) data 0.000 (0.002) eta 1:27:50 loss_g -3.5441 (-4.1253) loss_f 0.1057 (0.1048) loss_d 0.0074 (0.0115) lr 0.0005 epoch [11/25][120/429] time 0.832 (0.833) data 0.000 (0.002) eta 1:27:39 loss_g -1.1653 (-4.0979) loss_f 0.0253 (0.1036) loss_d 0.0040 (0.0113) lr 0.0005 epoch [11/25][130/429] time 0.832 (0.833) data 0.000 (0.002) eta 1:27:30 loss_g -1.1927 (-4.0391) loss_f 0.3012 (0.1017) loss_d 0.0047 (0.0108) lr 0.0005 epoch [11/25][140/429] time 0.830 (0.833) data 0.000 (0.002) eta 1:27:20 loss_g -4.1464 (-3.9806) loss_f 0.0085 (0.1022) loss_d 0.0139 (0.0105) lr 0.0005 epoch [11/25][150/429] time 0.825 (0.832) data 0.000 (0.002) eta 1:27:11 loss_g -5.9536 (-4.0386) loss_f 0.1954 (0.1009) loss_d 0.0016 (0.0101) lr 0.0005 epoch [11/25][160/429] time 0.832 (0.832) data 0.000 (0.002) eta 1:27:02 loss_g -5.2069 (-4.0551) loss_f 0.0331 (0.1027) loss_d 0.0026 (0.0097) lr 0.0005 epoch [11/25][170/429] time 0.832 (0.832) data 0.000 (0.002) eta 1:26:53 loss_g -2.8414 (-4.0548) loss_f 0.0795 (0.1025) loss_d 0.0166 (0.0093) lr 0.0005 epoch [11/25][180/429] time 0.829 (0.832) data 0.000 (0.002) eta 1:26:45 loss_g -2.4600 (-4.0549) loss_f 0.3608 (0.1044) loss_d 0.0014 (0.0095) lr 0.0005 epoch [11/25][190/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:26:36 loss_g -4.8570 (-4.0964) loss_f 0.0705 (0.1041) loss_d 0.0193 (0.0095) lr 0.0005 epoch [11/25][200/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:26:27 loss_g -4.5604 (-4.0940) loss_f 0.0605 (0.1023) loss_d 0.0038 (0.0093) lr 0.0005 epoch [11/25][210/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:26:18 loss_g -3.6331 (-4.1241) loss_f 0.0202 (0.1025) loss_d 0.0039 (0.0089) lr 0.0005 epoch [11/25][220/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:26:10 loss_g -4.1627 (-4.1494) loss_f 0.3227 (0.1036) loss_d 0.2244 (0.0098) lr 0.0005 epoch [11/25][230/429] time 0.829 (0.832) data 0.000 (0.001) eta 1:26:02 loss_g -3.2024 (-4.1384) loss_f 0.2796 (0.1063) loss_d 0.0011 (0.0102) lr 0.0005 epoch [11/25][240/429] time 0.827 (0.832) data 0.000 (0.001) eta 1:25:53 loss_g -1.7809 (-4.1209) loss_f 0.1429 (0.1058) loss_d 0.0028 (0.0099) lr 0.0005 epoch [11/25][250/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:25:44 loss_g -4.4651 (-4.0958) loss_f 0.0089 (0.1064) loss_d 0.0001 (0.0096) lr 0.0005 epoch [11/25][260/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:25:36 loss_g -2.5217 (-4.0978) loss_f 0.0953 (0.1062) loss_d 0.0069 (0.0095) lr 0.0005 epoch [11/25][270/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:25:28 loss_g -5.4223 (-4.1013) loss_f 0.2822 (0.1081) loss_d 0.0034 (0.0095) lr 0.0005 epoch [11/25][280/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:25:19 loss_g -6.3488 (-4.1115) loss_f 0.0209 (0.1082) loss_d 0.0055 (0.0093) lr 0.0005 epoch [11/25][290/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:25:11 loss_g -5.2045 (-4.1248) loss_f 0.0699 (0.1080) loss_d 0.0019 (0.0092) lr 0.0005 epoch [11/25][300/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:25:03 loss_g -3.1263 (-4.1409) loss_f 0.0977 (0.1078) loss_d 0.0251 (0.0093) lr 0.0005 epoch [11/25][310/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:24:54 loss_g -7.1317 (-4.1628) loss_f 0.1593 (0.1072) loss_d 0.0107 (0.0092) lr 0.0005 epoch [11/25][320/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:24:46 loss_g -4.6767 (-4.1550) loss_f 0.0359 (0.1071) loss_d 0.0006 (0.0092) lr 0.0005 epoch [11/25][330/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:24:37 loss_g -4.9397 (-4.1507) loss_f 0.0270 (0.1063) loss_d 0.0128 (0.0092) lr 0.0005 epoch [11/25][340/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:24:29 loss_g -1.3671 (-4.1443) loss_f 0.1339 (0.1066) loss_d 0.0310 (0.0092) lr 0.0005 epoch [11/25][350/429] time 0.828 (0.832) data 0.000 (0.001) eta 1:24:20 loss_g -4.0938 (-4.1481) loss_f 0.1695 (0.1060) loss_d 0.0003 (0.0090) lr 0.0005 epoch [11/25][360/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:24:12 loss_g -5.5151 (-4.1312) loss_f 0.0172 (0.1055) loss_d 0.0240 (0.0089) lr 0.0005 epoch [11/25][370/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:24:04 loss_g -4.6306 (-4.1197) loss_f 0.0352 (0.1043) loss_d 0.0002 (0.0089) lr 0.0005 epoch [11/25][380/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:23:56 loss_g -3.9491 (-4.1255) loss_f 0.0678 (0.1050) loss_d 0.0011 (0.0088) lr 0.0005 epoch [11/25][390/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:23:47 loss_g -5.2937 (-4.1201) loss_f 0.0765 (0.1042) loss_d 0.0139 (0.0087) lr 0.0005 epoch [11/25][400/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:23:39 loss_g -3.7249 (-4.1310) loss_f 0.1844 (0.1031) loss_d 0.0199 (0.0086) lr 0.0005 epoch [11/25][410/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:23:31 loss_g -5.1110 (-4.1228) loss_f 0.0145 (0.1032) loss_d 0.0045 (0.0085) lr 0.0005 epoch [11/25][420/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:23:22 loss_g -3.6759 (-4.1267) loss_f 0.0531 (0.1020) loss_d 0.0002 (0.0083) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,690 * accuracy: 72.10% * error: 27.90% epoch [12/25][10/429] time 0.830 (0.858) data 0.000 (0.027) eta 1:25:45 loss_g -4.7854 (-5.0066) loss_f 0.0356 (0.0620) loss_d 0.0008 (0.0117) lr 0.0005 epoch [12/25][20/429] time 0.831 (0.844) data 0.000 (0.014) eta 1:24:14 loss_g -5.1128 (-4.8339) loss_f 0.0485 (0.0613) loss_d 0.0010 (0.0149) lr 0.0005 epoch [12/25][30/429] time 0.830 (0.840) data 0.000 (0.009) eta 1:23:39 loss_g -6.9281 (-4.7602) loss_f 0.0492 (0.0546) loss_d 0.0023 (0.0116) lr 0.0005 epoch [12/25][40/429] time 0.823 (0.837) data 0.000 (0.007) eta 1:23:13 loss_g -3.3098 (-4.5790) loss_f 0.0911 (0.0660) loss_d 0.0009 (0.0108) lr 0.0005 epoch [12/25][50/429] time 0.828 (0.836) data 0.000 (0.005) eta 1:22:58 loss_g -3.9610 (-4.5284) loss_f 0.0780 (0.0766) loss_d 0.0069 (0.0113) lr 0.0005 epoch [12/25][60/429] time 0.832 (0.835) data 0.000 (0.005) eta 1:22:46 loss_g -3.4859 (-4.4768) loss_f 0.0554 (0.0749) loss_d 0.0035 (0.0105) lr 0.0005 epoch [12/25][70/429] time 0.829 (0.835) data 0.000 (0.004) eta 1:22:33 loss_g -3.1498 (-4.4956) loss_f 0.0581 (0.0743) loss_d 0.0010 (0.0093) lr 0.0005 epoch [12/25][80/429] time 0.831 (0.834) data 0.000 (0.003) eta 1:22:23 loss_g -4.8420 (-4.4937) loss_f 0.0451 (0.0761) loss_d 0.0020 (0.0124) lr 0.0005 epoch [12/25][90/429] time 0.829 (0.834) data 0.000 (0.003) eta 1:22:12 loss_g -3.6199 (-4.4349) loss_f 0.0277 (0.0766) loss_d 0.0067 (0.0115) lr 0.0005 epoch [12/25][100/429] time 0.832 (0.833) data 0.000 (0.003) eta 1:22:02 loss_g -3.8061 (-4.4765) loss_f 0.0302 (0.0774) loss_d 0.0006 (0.0108) lr 0.0005 epoch [12/25][110/429] time 0.833 (0.833) data 0.000 (0.003) eta 1:21:53 loss_g -3.9427 (-4.4913) loss_f 0.1101 (0.0810) loss_d 0.0013 (0.0106) lr 0.0005 epoch [12/25][120/429] time 0.828 (0.833) data 0.000 (0.002) eta 1:21:43 loss_g -4.2706 (-4.5101) loss_f 0.1661 (0.0793) loss_d 0.0002 (0.0100) lr 0.0005 epoch [12/25][130/429] time 0.830 (0.833) data 0.000 (0.002) eta 1:21:34 loss_g -6.2306 (-4.5143) loss_f 0.0720 (0.0788) loss_d 0.0002 (0.0095) lr 0.0005 epoch [12/25][140/429] time 0.827 (0.833) data 0.000 (0.002) eta 1:21:25 loss_g -5.0890 (-4.5147) loss_f 0.0141 (0.0811) loss_d 0.0032 (0.0091) lr 0.0005 epoch [12/25][150/429] time 0.832 (0.833) data 0.000 (0.002) eta 1:21:16 loss_g -4.0337 (-4.5226) loss_f 0.0901 (0.0814) loss_d 0.0007 (0.0093) lr 0.0005 epoch [12/25][160/429] time 0.833 (0.833) data 0.000 (0.002) eta 1:21:07 loss_g -3.6341 (-4.5086) loss_f 0.0586 (0.0828) loss_d 0.0043 (0.0090) lr 0.0005 epoch [12/25][170/429] time 0.832 (0.833) data 0.000 (0.002) eta 1:20:58 loss_g -3.5867 (-4.4540) loss_f 0.1493 (0.0850) loss_d 0.0080 (0.0087) lr 0.0005 epoch [12/25][180/429] time 0.833 (0.832) data 0.000 (0.002) eta 1:20:49 loss_g -4.6918 (-4.4627) loss_f 0.0108 (0.0839) loss_d 0.0036 (0.0088) lr 0.0005 epoch [12/25][190/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:20:41 loss_g -2.5460 (-4.4809) loss_f 0.0342 (0.0850) loss_d 0.0025 (0.0089) lr 0.0005 epoch [12/25][200/429] time 0.826 (0.832) data 0.000 (0.001) eta 1:20:31 loss_g -4.5944 (-4.4965) loss_f 0.1867 (0.0848) loss_d 0.0004 (0.0087) lr 0.0005 epoch [12/25][210/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:20:23 loss_g -4.4180 (-4.4818) loss_f 0.0473 (0.0848) loss_d 0.0016 (0.0085) lr 0.0005 epoch [12/25][220/429] time 0.828 (0.832) data 0.000 (0.001) eta 1:20:14 loss_g -3.8946 (-4.4658) loss_f 0.2001 (0.0863) loss_d 0.0060 (0.0085) lr 0.0005 epoch [12/25][230/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:20:05 loss_g -2.0218 (-4.4464) loss_f 0.0753 (0.0859) loss_d 0.0005 (0.0082) lr 0.0005 epoch [12/25][240/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:19:57 loss_g -3.7579 (-4.4104) loss_f 0.1027 (0.0856) loss_d 0.0002 (0.0081) lr 0.0005 epoch [12/25][250/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:19:48 loss_g -2.4370 (-4.4306) loss_f 0.1472 (0.0860) loss_d 0.0339 (0.0084) lr 0.0005 epoch [12/25][260/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:19:40 loss_g -5.9731 (-4.4275) loss_f 0.0190 (0.0848) loss_d 0.0002 (0.0086) lr 0.0005 epoch [12/25][270/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:19:31 loss_g -5.8961 (-4.4472) loss_f 0.0777 (0.0853) loss_d 0.0007 (0.0086) lr 0.0005 epoch [12/25][280/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:19:22 loss_g -4.4800 (-4.4766) loss_f 0.0234 (0.0851) loss_d 0.0007 (0.0084) lr 0.0005 epoch [12/25][290/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:19:14 loss_g -3.8048 (-4.4831) loss_f 0.1291 (0.0869) loss_d 0.0066 (0.0083) lr 0.0005 epoch [12/25][300/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:19:06 loss_g -3.3663 (-4.4755) loss_f 0.1202 (0.0877) loss_d 0.0311 (0.0082) lr 0.0005 epoch [12/25][310/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:18:57 loss_g -5.5220 (-4.4593) loss_f 0.0399 (0.0877) loss_d 0.0024 (0.0082) lr 0.0005 epoch [12/25][320/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:18:49 loss_g -5.5262 (-4.4770) loss_f 0.0584 (0.0882) loss_d 0.0004 (0.0080) lr 0.0005 epoch [12/25][330/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:18:41 loss_g -4.0672 (-4.4786) loss_f 0.0651 (0.0887) loss_d 0.0409 (0.0079) lr 0.0005 epoch [12/25][340/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:18:32 loss_g -4.3576 (-4.4735) loss_f 0.0191 (0.0882) loss_d 0.0016 (0.0078) lr 0.0005 epoch [12/25][350/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:18:24 loss_g -5.4302 (-4.4672) loss_f 0.0230 (0.0890) loss_d 0.0175 (0.0076) lr 0.0005 epoch [12/25][360/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:18:15 loss_g -5.8465 (-4.4795) loss_f 0.0927 (0.0895) loss_d 0.0259 (0.0078) lr 0.0005 epoch [12/25][370/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:18:07 loss_g -3.7029 (-4.4894) loss_f 0.4230 (0.0903) loss_d 0.0005 (0.0077) lr 0.0005 epoch [12/25][380/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:17:59 loss_g -5.1923 (-4.4899) loss_f 0.0337 (0.0894) loss_d 0.0016 (0.0075) lr 0.0005 epoch [12/25][390/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:17:50 loss_g -3.9308 (-4.4928) loss_f 0.0598 (0.0904) loss_d 0.0001 (0.0075) lr 0.0005 epoch [12/25][400/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:17:42 loss_g -5.6095 (-4.5113) loss_f 0.0164 (0.0936) loss_d 0.0009 (0.0075) lr 0.0005 epoch [12/25][410/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:17:34 loss_g -5.9434 (-4.5098) loss_f 0.0535 (0.0948) loss_d 0.0018 (0.0075) lr 0.0005 epoch [12/25][420/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:17:25 loss_g -6.4312 (-4.5202) loss_f 0.1024 (0.0949) loss_d 0.0086 (0.0076) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,685 * accuracy: 71.89% * error: 28.11% epoch [13/25][10/429] time 0.833 (0.867) data 0.000 (0.037) eta 1:20:27 loss_g -6.7397 (-4.5098) loss_f 0.0303 (0.1114) loss_d 0.0008 (0.0095) lr 0.0005 epoch [13/25][20/429] time 0.832 (0.848) data 0.000 (0.019) eta 1:18:34 loss_g -6.2012 (-4.0998) loss_f 0.0272 (0.1111) loss_d 0.0002 (0.0116) lr 0.0005 epoch [13/25][30/429] time 0.827 (0.842) data 0.000 (0.012) eta 1:17:52 loss_g -4.4325 (-4.1327) loss_f 0.0409 (0.1099) loss_d 0.0002 (0.0090) lr 0.0005 epoch [13/25][40/429] time 0.832 (0.839) data 0.000 (0.009) eta 1:17:25 loss_g -4.7081 (-4.3429) loss_f 0.1080 (0.1098) loss_d 0.0025 (0.0076) lr 0.0005 epoch [13/25][50/429] time 0.832 (0.838) data 0.000 (0.007) eta 1:17:10 loss_g -4.3908 (-4.4074) loss_f 0.0189 (0.1060) loss_d 0.0012 (0.0079) lr 0.0005 epoch [13/25][60/429] time 0.831 (0.837) data 0.000 (0.006) eta 1:16:55 loss_g -2.5236 (-4.4244) loss_f 0.0235 (0.0976) loss_d 0.0020 (0.0074) lr 0.0005 epoch [13/25][70/429] time 0.828 (0.836) data 0.000 (0.005) eta 1:16:42 loss_g -3.1127 (-4.4823) loss_f 0.1503 (0.0954) loss_d 0.0067 (0.0066) lr 0.0005 epoch [13/25][80/429] time 0.829 (0.835) data 0.000 (0.005) eta 1:16:31 loss_g -5.2761 (-4.4986) loss_f 0.0646 (0.0950) loss_d 0.0001 (0.0063) lr 0.0005 epoch [13/25][90/429] time 0.832 (0.835) data 0.000 (0.004) eta 1:16:19 loss_g -6.0612 (-4.5128) loss_f 0.0593 (0.0918) loss_d 0.0201 (0.0061) lr 0.0005 epoch [13/25][100/429] time 0.829 (0.834) data 0.000 (0.004) eta 1:16:09 loss_g -3.2830 (-4.4895) loss_f 0.0984 (0.0910) loss_d 0.0206 (0.0061) lr 0.0005 epoch [13/25][110/429] time 0.831 (0.834) data 0.000 (0.003) eta 1:15:59 loss_g -6.2852 (-4.5453) loss_f 0.0595 (0.0898) loss_d 0.0007 (0.0057) lr 0.0005 epoch [13/25][120/429] time 0.832 (0.834) data 0.000 (0.003) eta 1:15:49 loss_g -5.4568 (-4.6057) loss_f 0.0146 (0.0908) loss_d 0.0033 (0.0054) lr 0.0005 epoch [13/25][130/429] time 0.832 (0.834) data 0.000 (0.003) eta 1:15:40 loss_g -6.6313 (-4.6029) loss_f 0.2109 (0.0907) loss_d 0.0036 (0.0052) lr 0.0005 epoch [13/25][140/429] time 0.831 (0.833) data 0.000 (0.003) eta 1:15:30 loss_g -3.1007 (-4.6109) loss_f 0.0172 (0.0904) loss_d 0.0007 (0.0051) lr 0.0005 epoch [13/25][150/429] time 0.832 (0.833) data 0.000 (0.003) eta 1:15:22 loss_g -5.7549 (-4.6083) loss_f 0.0042 (0.0882) loss_d 0.0029 (0.0056) lr 0.0005 epoch [13/25][160/429] time 0.831 (0.833) data 0.000 (0.002) eta 1:15:12 loss_g -4.6473 (-4.6302) loss_f 0.0152 (0.0882) loss_d 0.0008 (0.0057) lr 0.0005 epoch [13/25][170/429] time 0.829 (0.833) data 0.000 (0.002) eta 1:15:03 loss_g -3.9865 (-4.6319) loss_f 0.0242 (0.0873) loss_d 0.0002 (0.0055) lr 0.0005 epoch [13/25][180/429] time 0.828 (0.833) data 0.000 (0.002) eta 1:14:54 loss_g -3.9835 (-4.6449) loss_f 0.0521 (0.0883) loss_d 0.0008 (0.0063) lr 0.0005 epoch [13/25][190/429] time 0.829 (0.833) data 0.000 (0.002) eta 1:14:45 loss_g -4.7954 (-4.6929) loss_f 0.0065 (0.0874) loss_d 0.0003 (0.0060) lr 0.0005 epoch [13/25][200/429] time 0.833 (0.833) data 0.000 (0.002) eta 1:14:37 loss_g -6.1258 (-4.7206) loss_f 0.1071 (0.0868) loss_d 0.0001 (0.0057) lr 0.0005 epoch [13/25][210/429] time 0.831 (0.833) data 0.000 (0.002) eta 1:14:28 loss_g -4.1736 (-4.7035) loss_f 0.0090 (0.0883) loss_d 0.0008 (0.0058) lr 0.0005 epoch [13/25][220/429] time 0.830 (0.833) data 0.000 (0.002) eta 1:14:19 loss_g -3.5214 (-4.6734) loss_f 0.0151 (0.0878) loss_d 0.0046 (0.0057) lr 0.0005 epoch [13/25][230/429] time 0.832 (0.833) data 0.000 (0.002) eta 1:14:11 loss_g -4.5341 (-4.6668) loss_f 0.0597 (0.0883) loss_d 0.0209 (0.0056) lr 0.0005 epoch [13/25][240/429] time 0.828 (0.832) data 0.000 (0.002) eta 1:14:02 loss_g -7.4078 (-4.6970) loss_f 0.0554 (0.0884) loss_d 0.0006 (0.0055) lr 0.0005 epoch [13/25][250/429] time 0.833 (0.832) data 0.000 (0.002) eta 1:13:53 loss_g -6.2225 (-4.6918) loss_f 0.1482 (0.0885) loss_d 0.0039 (0.0062) lr 0.0005 epoch [13/25][260/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:13:45 loss_g -3.2409 (-4.6850) loss_f 0.1657 (0.0886) loss_d 0.0085 (0.0061) lr 0.0005 epoch [13/25][270/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:13:36 loss_g -3.6471 (-4.7148) loss_f 0.0895 (0.0874) loss_d 0.0005 (0.0059) lr 0.0005 epoch [13/25][280/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:13:28 loss_g -4.4818 (-4.7040) loss_f 0.0058 (0.0873) loss_d 0.0067 (0.0058) lr 0.0005 epoch [13/25][290/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:13:20 loss_g -5.8343 (-4.7335) loss_f 0.0593 (0.0873) loss_d 0.0015 (0.0057) lr 0.0005 epoch [13/25][300/429] time 0.828 (0.832) data 0.000 (0.001) eta 1:13:11 loss_g -2.4344 (-4.7416) loss_f 0.1493 (0.0869) loss_d 0.0016 (0.0058) lr 0.0005 epoch [13/25][310/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:13:03 loss_g -4.8360 (-4.7613) loss_f 0.0768 (0.0873) loss_d 0.0005 (0.0057) lr 0.0005 epoch [13/25][320/429] time 0.827 (0.832) data 0.000 (0.001) eta 1:12:54 loss_g -5.0914 (-4.7728) loss_f 0.0468 (0.0872) loss_d 0.0004 (0.0059) lr 0.0005 epoch [13/25][330/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:12:45 loss_g -5.2312 (-4.7833) loss_f 0.0995 (0.0875) loss_d 0.0035 (0.0059) lr 0.0005 epoch [13/25][340/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:12:37 loss_g -4.4444 (-4.7950) loss_f 0.0229 (0.0886) loss_d 0.0014 (0.0061) lr 0.0005 epoch [13/25][350/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:12:28 loss_g -5.0746 (-4.7976) loss_f 0.1801 (0.0889) loss_d 0.0003 (0.0060) lr 0.0005 epoch [13/25][360/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:12:20 loss_g -6.0908 (-4.8174) loss_f 0.1192 (0.0887) loss_d 0.0006 (0.0061) lr 0.0005 epoch [13/25][370/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:12:12 loss_g -4.4630 (-4.8405) loss_f 0.0524 (0.0893) loss_d 0.0007 (0.0060) lr 0.0005 epoch [13/25][380/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:12:03 loss_g -5.7052 (-4.8598) loss_f 0.0343 (0.0887) loss_d 0.0008 (0.0058) lr 0.0005 epoch [13/25][390/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:11:55 loss_g -2.6176 (-4.8777) loss_f 0.1498 (0.0891) loss_d 0.0024 (0.0059) lr 0.0005 epoch [13/25][400/429] time 0.829 (0.832) data 0.000 (0.001) eta 1:11:46 loss_g -2.4314 (-4.8711) loss_f 0.1205 (0.0888) loss_d 0.0071 (0.0058) lr 0.0005 epoch [13/25][410/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:11:38 loss_g -6.0553 (-4.8888) loss_f 0.1649 (0.0889) loss_d 0.0058 (0.0060) lr 0.0005 epoch [13/25][420/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:11:29 loss_g -4.8219 (-4.9106) loss_f 0.0732 (0.0879) loss_d 0.0015 (0.0061) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,657 * accuracy: 70.69% * error: 29.31% epoch [14/25][10/429] time 0.828 (0.854) data 0.000 (0.026) eta 1:13:07 loss_g -6.1829 (-5.7827) loss_f 0.0205 (0.0856) loss_d 0.0013 (0.0079) lr 0.0005 epoch [14/25][20/429] time 0.832 (0.842) data 0.000 (0.013) eta 1:11:58 loss_g -6.2341 (-5.7881) loss_f 0.0400 (0.0960) loss_d 0.0005 (0.0049) lr 0.0005 epoch [14/25][30/429] time 0.828 (0.839) data 0.000 (0.009) eta 1:11:31 loss_g -6.3253 (-5.5838) loss_f 0.2071 (0.0985) loss_d 0.0014 (0.0038) lr 0.0005 epoch [14/25][40/429] time 0.831 (0.836) data 0.000 (0.006) eta 1:11:11 loss_g -7.6178 (-5.6371) loss_f 0.0273 (0.0906) loss_d 0.0002 (0.0040) lr 0.0005 epoch [14/25][50/429] time 0.825 (0.835) data 0.000 (0.005) eta 1:10:57 loss_g -7.6514 (-5.5681) loss_f 0.2291 (0.1092) loss_d 0.0031 (0.0035) lr 0.0005 epoch [14/25][60/429] time 0.831 (0.834) data 0.000 (0.004) eta 1:10:45 loss_g -4.5970 (-5.5948) loss_f 0.0443 (0.1028) loss_d 0.0007 (0.0032) lr 0.0005 epoch [14/25][70/429] time 0.832 (0.834) data 0.000 (0.004) eta 1:10:35 loss_g -5.7860 (-5.5649) loss_f 0.0259 (0.1022) loss_d 0.0132 (0.0033) lr 0.0005 epoch [14/25][80/429] time 0.830 (0.834) data 0.000 (0.003) eta 1:10:25 loss_g -5.5615 (-5.4990) loss_f 0.3006 (0.1036) loss_d 0.0002 (0.0034) lr 0.0005 epoch [14/25][90/429] time 0.831 (0.833) data 0.000 (0.003) eta 1:10:14 loss_g -4.3212 (-5.5427) loss_f 0.0416 (0.1010) loss_d 0.0081 (0.0032) lr 0.0005 epoch [14/25][100/429] time 0.833 (0.833) data 0.000 (0.003) eta 1:10:04 loss_g -6.8468 (-5.5623) loss_f 0.0693 (0.0977) loss_d 0.0081 (0.0032) lr 0.0005 epoch [14/25][110/429] time 0.830 (0.833) data 0.000 (0.002) eta 1:09:54 loss_g -5.3890 (-5.6099) loss_f 0.0461 (0.1010) loss_d 0.0015 (0.0038) lr 0.0005 epoch [14/25][120/429] time 0.825 (0.832) data 0.000 (0.002) eta 1:09:45 loss_g -7.2795 (-5.6050) loss_f 0.0361 (0.0985) loss_d 0.0010 (0.0041) lr 0.0005 epoch [14/25][130/429] time 0.833 (0.832) data 0.000 (0.002) eta 1:09:36 loss_g -6.0763 (-5.6408) loss_f 0.3284 (0.1012) loss_d 0.0066 (0.0040) lr 0.0005 epoch [14/25][140/429] time 0.832 (0.832) data 0.000 (0.002) eta 1:09:27 loss_g -4.8904 (-5.5892) loss_f 0.0739 (0.0987) loss_d 0.0004 (0.0039) lr 0.0005 epoch [14/25][150/429] time 0.832 (0.832) data 0.000 (0.002) eta 1:09:19 loss_g -7.3031 (-5.6173) loss_f 0.0475 (0.0993) loss_d 0.0144 (0.0040) lr 0.0005 epoch [14/25][160/429] time 0.829 (0.832) data 0.000 (0.002) eta 1:09:10 loss_g -4.9958 (-5.6424) loss_f 0.0240 (0.0990) loss_d 0.0016 (0.0039) lr 0.0005 epoch [14/25][170/429] time 0.831 (0.832) data 0.000 (0.002) eta 1:09:01 loss_g -6.7267 (-5.6610) loss_f 0.0541 (0.0973) loss_d 0.0040 (0.0039) lr 0.0005 epoch [14/25][180/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:08:52 loss_g -7.2044 (-5.6709) loss_f 0.0816 (0.0982) loss_d 0.0008 (0.0038) lr 0.0005 epoch [14/25][190/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:08:44 loss_g -6.2344 (-5.6722) loss_f 0.0708 (0.0991) loss_d 0.0063 (0.0045) lr 0.0005 epoch [14/25][200/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:08:35 loss_g -5.7304 (-5.6552) loss_f 0.0829 (0.1004) loss_d 0.0013 (0.0045) lr 0.0005 epoch [14/25][210/429] time 0.828 (0.832) data 0.000 (0.001) eta 1:08:27 loss_g -5.5078 (-5.6380) loss_f 0.0308 (0.0992) loss_d 0.0009 (0.0046) lr 0.0005 epoch [14/25][220/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:08:18 loss_g -6.1876 (-5.6110) loss_f 0.1475 (0.1027) loss_d 0.0022 (0.0045) lr 0.0005 epoch [14/25][230/429] time 0.830 (0.832) data 0.000 (0.001) eta 1:08:10 loss_g -7.4289 (-5.6095) loss_f 0.0927 (0.1028) loss_d 0.0450 (0.0046) lr 0.0005 epoch [14/25][240/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:08:01 loss_g -5.7759 (-5.6343) loss_f 0.0091 (0.1023) loss_d 0.0005 (0.0049) lr 0.0005 epoch [14/25][250/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:07:53 loss_g -5.1754 (-5.6272) loss_f 0.0323 (0.1028) loss_d 0.0006 (0.0054) lr 0.0005 epoch [14/25][260/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:07:44 loss_g -5.7554 (-5.6325) loss_f 0.1322 (0.1032) loss_d 0.0004 (0.0053) lr 0.0005 epoch [14/25][270/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:07:36 loss_g -6.7598 (-5.6401) loss_f 0.0441 (0.1028) loss_d 0.0229 (0.0053) lr 0.0005 epoch [14/25][280/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:07:27 loss_g -6.9995 (-5.6212) loss_f 0.3454 (0.1033) loss_d 0.0042 (0.0054) lr 0.0005 epoch [14/25][290/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:07:19 loss_g -6.0266 (-5.6338) loss_f 0.0621 (0.1045) loss_d 0.0027 (0.0054) lr 0.0005 epoch [14/25][300/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:07:11 loss_g -3.0275 (-5.6151) loss_f 0.0951 (0.1052) loss_d 0.0020 (0.0055) lr 0.0005 epoch [14/25][310/429] time 0.828 (0.831) data 0.000 (0.001) eta 1:07:02 loss_g -5.6688 (-5.6206) loss_f 0.1047 (0.1044) loss_d 0.0035 (0.0054) lr 0.0005 epoch [14/25][320/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:06:54 loss_g -7.9490 (-5.6389) loss_f 0.1590 (0.1042) loss_d 0.0001 (0.0053) lr 0.0005 epoch [14/25][330/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:06:46 loss_g -9.0679 (-5.6670) loss_f 0.1522 (0.1034) loss_d 0.0029 (0.0052) lr 0.0005 epoch [14/25][340/429] time 0.829 (0.831) data 0.000 (0.001) eta 1:06:37 loss_g -5.1922 (-5.6559) loss_f 0.0943 (0.1027) loss_d 0.0008 (0.0051) lr 0.0005 epoch [14/25][350/429] time 0.830 (0.831) data 0.000 (0.001) eta 1:06:29 loss_g -7.3232 (-5.6586) loss_f 0.0376 (0.1022) loss_d 0.0068 (0.0053) lr 0.0005 epoch [14/25][360/429] time 0.829 (0.831) data 0.000 (0.001) eta 1:06:20 loss_g -5.5937 (-5.6649) loss_f 0.2428 (0.1023) loss_d 0.0012 (0.0053) lr 0.0005 epoch [14/25][370/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:06:12 loss_g -4.9923 (-5.6827) loss_f 0.0489 (0.1022) loss_d 0.0029 (0.0053) lr 0.0005 epoch [14/25][380/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:06:03 loss_g -4.9874 (-5.6918) loss_f 0.1455 (0.1017) loss_d 0.0003 (0.0052) lr 0.0005 epoch [14/25][390/429] time 0.832 (0.831) data 0.000 (0.001) eta 1:05:55 loss_g -4.0157 (-5.6924) loss_f 0.1462 (0.1013) loss_d 0.0060 (0.0051) lr 0.0005 epoch [14/25][400/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:05:47 loss_g -6.6742 (-5.7189) loss_f 0.0860 (0.1005) loss_d 0.0149 (0.0052) lr 0.0005 epoch [14/25][410/429] time 0.831 (0.831) data 0.000 (0.001) eta 1:05:38 loss_g -3.6842 (-5.7171) loss_f 0.0199 (0.1002) loss_d 0.0324 (0.0052) lr 0.0005 epoch [14/25][420/429] time 0.833 (0.831) data 0.000 (0.001) eta 1:05:30 loss_g -5.6165 (-5.7292) loss_f 0.2202 (0.1022) loss_d 0.0015 (0.0051) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,733 * accuracy: 73.93% * error: 26.07% epoch [15/25][10/429] time 0.832 (0.854) data 0.000 (0.024) eta 1:07:03 loss_g -5.4665 (-6.5347) loss_f 0.1697 (0.0667) loss_d 0.0006 (0.0299) lr 0.0005 epoch [15/25][20/429] time 0.833 (0.843) data 0.000 (0.012) eta 1:06:01 loss_g -4.2393 (-6.2046) loss_f 0.0742 (0.0845) loss_d 0.0036 (0.0161) lr 0.0005 epoch [15/25][30/429] time 0.832 (0.839) data 0.000 (0.008) eta 1:05:34 loss_g -7.5115 (-6.2137) loss_f 0.0467 (0.1050) loss_d 0.0004 (0.0112) lr 0.0005 epoch [15/25][40/429] time 0.831 (0.837) data 0.000 (0.006) eta 1:05:17 loss_g -6.8680 (-6.2768) loss_f 0.0591 (0.1113) loss_d 0.0062 (0.0092) lr 0.0005 epoch [15/25][50/429] time 0.833 (0.836) data 0.000 (0.005) eta 1:05:03 loss_g -5.7264 (-6.3169) loss_f 0.1735 (0.1061) loss_d 0.0012 (0.0098) lr 0.0005 epoch [15/25][60/429] time 0.832 (0.835) data 0.000 (0.004) eta 1:04:51 loss_g -4.9711 (-6.2864) loss_f 0.0323 (0.1014) loss_d 0.0105 (0.0088) lr 0.0005 epoch [15/25][70/429] time 0.831 (0.835) data 0.000 (0.003) eta 1:04:40 loss_g -5.8513 (-6.3228) loss_f 0.0656 (0.1011) loss_d 0.0013 (0.0077) lr 0.0005 epoch [15/25][80/429] time 0.831 (0.834) data 0.000 (0.003) eta 1:04:30 loss_g -6.3135 (-6.2774) loss_f 0.0639 (0.0984) loss_d 0.0005 (0.0069) lr 0.0005 epoch [15/25][90/429] time 0.831 (0.834) data 0.000 (0.003) eta 1:04:20 loss_g -6.4127 (-6.2652) loss_f 0.0974 (0.0941) loss_d 0.0063 (0.0063) lr 0.0005 epoch [15/25][100/429] time 0.833 (0.834) data 0.000 (0.002) eta 1:04:11 loss_g -6.2716 (-6.2612) loss_f 0.1610 (0.0956) loss_d 0.0003 (0.0064) lr 0.0005 epoch [15/25][110/429] time 0.830 (0.833) data 0.000 (0.002) eta 1:04:01 loss_g -3.8628 (-6.2389) loss_f 0.0789 (0.0968) loss_d 0.0017 (0.0061) lr 0.0005 epoch [15/25][120/429] time 0.833 (0.833) data 0.000 (0.002) eta 1:03:52 loss_g -7.1424 (-6.1998) loss_f 0.0554 (0.0944) loss_d 0.0004 (0.0070) lr 0.0005 epoch [15/25][130/429] time 0.831 (0.833) data 0.000 (0.002) eta 1:03:43 loss_g -3.5747 (-6.1877) loss_f 0.0293 (0.0981) loss_d 0.0007 (0.0069) lr 0.0005 epoch [15/25][140/429] time 0.827 (0.833) data 0.000 (0.002) eta 1:03:34 loss_g -8.0638 (-6.2083) loss_f 0.0268 (0.0959) loss_d 0.0025 (0.0066) lr 0.0005 epoch [15/25][150/429] time 0.832 (0.833) data 0.000 (0.002) eta 1:03:26 loss_g -8.0667 (-6.2446) loss_f 0.0527 (0.0983) loss_d 0.0125 (0.0067) lr 0.0005 epoch [15/25][160/429] time 0.823 (0.833) data 0.000 (0.002) eta 1:03:16 loss_g -8.2333 (-6.2663) loss_f 0.0171 (0.0966) loss_d 0.0005 (0.0065) lr 0.0005 epoch [15/25][170/429] time 0.831 (0.833) data 0.000 (0.001) eta 1:03:07 loss_g -7.6277 (-6.2915) loss_f 0.0278 (0.0970) loss_d 0.0004 (0.0062) lr 0.0005 epoch [15/25][180/429] time 0.829 (0.833) data 0.000 (0.001) eta 1:02:59 loss_g -6.6278 (-6.3171) loss_f 0.2133 (0.0965) loss_d 0.0001 (0.0059) lr 0.0005 epoch [15/25][190/429] time 0.833 (0.833) data 0.000 (0.001) eta 1:02:50 loss_g -7.6044 (-6.3465) loss_f 0.0720 (0.0945) loss_d 0.0018 (0.0056) lr 0.0005 epoch [15/25][200/429] time 0.833 (0.833) data 0.000 (0.001) eta 1:02:42 loss_g -4.5589 (-6.3447) loss_f 0.0680 (0.0943) loss_d 0.0014 (0.0057) lr 0.0005 epoch [15/25][210/429] time 0.829 (0.833) data 0.000 (0.001) eta 1:02:33 loss_g -8.1531 (-6.3423) loss_f 0.0676 (0.0954) loss_d 0.0252 (0.0057) lr 0.0005 epoch [15/25][220/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:02:25 loss_g -5.7521 (-6.3265) loss_f 0.0642 (0.0945) loss_d 0.0029 (0.0056) lr 0.0005 epoch [15/25][230/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:02:16 loss_g -5.6945 (-6.3052) loss_f 0.0255 (0.0945) loss_d 0.0034 (0.0054) lr 0.0005 epoch [15/25][240/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:02:07 loss_g -5.3739 (-6.2859) loss_f 0.2366 (0.0944) loss_d 0.0005 (0.0052) lr 0.0005 epoch [15/25][250/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:01:59 loss_g -7.0092 (-6.2968) loss_f 0.1205 (0.0951) loss_d 0.0046 (0.0051) lr 0.0005 epoch [15/25][260/429] time 0.834 (0.832) data 0.000 (0.001) eta 1:01:50 loss_g -5.1342 (-6.2954) loss_f 0.2009 (0.0975) loss_d 0.0004 (0.0052) lr 0.0005 epoch [15/25][270/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:01:42 loss_g -5.0102 (-6.3077) loss_f 0.0864 (0.0967) loss_d 0.0006 (0.0051) lr 0.0005 epoch [15/25][280/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:01:33 loss_g -7.3204 (-6.3053) loss_f 0.0979 (0.0984) loss_d 0.0006 (0.0057) lr 0.0005 epoch [15/25][290/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:01:25 loss_g -5.3530 (-6.3164) loss_f 0.0308 (0.0970) loss_d 0.0008 (0.0057) lr 0.0005 epoch [15/25][300/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:01:16 loss_g -4.7807 (-6.3260) loss_f 0.1003 (0.0969) loss_d 0.0157 (0.0057) lr 0.0005 epoch [15/25][310/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:01:08 loss_g -7.1406 (-6.3442) loss_f 0.0468 (0.0971) loss_d 0.0006 (0.0060) lr 0.0005 epoch [15/25][320/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:01:00 loss_g -4.4939 (-6.3445) loss_f 0.0072 (0.0952) loss_d 0.0004 (0.0059) lr 0.0005 epoch [15/25][330/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:00:51 loss_g -6.0796 (-6.3425) loss_f 0.0660 (0.0946) loss_d 0.0013 (0.0058) lr 0.0005 epoch [15/25][340/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:00:43 loss_g -7.1792 (-6.3391) loss_f 0.1286 (0.0944) loss_d 0.0014 (0.0057) lr 0.0005 epoch [15/25][350/429] time 0.825 (0.832) data 0.000 (0.001) eta 1:00:34 loss_g -7.7963 (-6.3319) loss_f 0.0528 (0.0929) loss_d 0.0013 (0.0056) lr 0.0005 epoch [15/25][360/429] time 0.832 (0.832) data 0.000 (0.001) eta 1:00:26 loss_g -8.6567 (-6.3343) loss_f 0.1403 (0.0938) loss_d 0.0005 (0.0057) lr 0.0005 epoch [15/25][370/429] time 0.831 (0.832) data 0.000 (0.001) eta 1:00:17 loss_g -6.1703 (-6.3534) loss_f 0.0273 (0.0932) loss_d 0.0006 (0.0057) lr 0.0005 epoch [15/25][380/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:00:09 loss_g -6.6821 (-6.3766) loss_f 0.6668 (0.0945) loss_d 0.0001 (0.0056) lr 0.0005 epoch [15/25][390/429] time 0.833 (0.832) data 0.000 (0.001) eta 1:00:00 loss_g -7.3811 (-6.3966) loss_f 0.0264 (0.0947) loss_d 0.0001 (0.0055) lr 0.0005 epoch [15/25][400/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:59:52 loss_g -8.8605 (-6.3891) loss_f 0.0735 (0.0947) loss_d 0.0060 (0.0054) lr 0.0005 epoch [15/25][410/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:59:43 loss_g -8.6266 (-6.3962) loss_f 0.0421 (0.0942) loss_d 0.0125 (0.0053) lr 0.0005 epoch [15/25][420/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:59:35 loss_g -6.3315 (-6.4092) loss_f 0.0137 (0.0943) loss_d 0.0004 (0.0053) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,715 * accuracy: 73.17% * error: 26.83% epoch [16/25][10/429] time 0.832 (0.854) data 0.000 (0.024) eta 1:00:55 loss_g -4.5910 (-7.2560) loss_f 0.0221 (0.0639) loss_d 0.0075 (0.0047) lr 0.0005 epoch [16/25][20/429] time 0.832 (0.842) data 0.000 (0.012) eta 0:59:54 loss_g -5.0973 (-6.8010) loss_f 0.0342 (0.0783) loss_d 0.0003 (0.0053) lr 0.0005 epoch [16/25][30/429] time 0.832 (0.838) data 0.000 (0.008) eta 0:59:30 loss_g -5.3993 (-6.5405) loss_f 0.1331 (0.0836) loss_d 0.0018 (0.0045) lr 0.0005 epoch [16/25][40/429] time 0.832 (0.836) data 0.000 (0.006) eta 0:59:13 loss_g -7.5294 (-6.6227) loss_f 0.1554 (0.0946) loss_d 0.0001 (0.0038) lr 0.0005 epoch [16/25][50/429] time 0.831 (0.835) data 0.000 (0.005) eta 0:59:01 loss_g -7.2899 (-6.6421) loss_f 0.1757 (0.0905) loss_d 0.0031 (0.0033) lr 0.0005 epoch [16/25][60/429] time 0.832 (0.835) data 0.000 (0.004) eta 0:58:50 loss_g -6.9021 (-6.7103) loss_f 0.0127 (0.0907) loss_d 0.0020 (0.0030) lr 0.0005 epoch [16/25][70/429] time 0.832 (0.834) data 0.000 (0.003) eta 0:58:39 loss_g -5.9838 (-6.7073) loss_f 0.1748 (0.0899) loss_d 0.0007 (0.0028) lr 0.0005 epoch [16/25][80/429] time 0.832 (0.834) data 0.000 (0.003) eta 0:58:30 loss_g -6.9792 (-6.6725) loss_f 0.0963 (0.0908) loss_d 0.0036 (0.0032) lr 0.0005 epoch [16/25][90/429] time 0.832 (0.834) data 0.000 (0.003) eta 0:58:20 loss_g -7.6491 (-6.7536) loss_f 0.0483 (0.0858) loss_d 0.0005 (0.0029) lr 0.0005 epoch [16/25][100/429] time 0.833 (0.833) data 0.000 (0.002) eta 0:58:11 loss_g -5.3164 (-6.7213) loss_f 0.0873 (0.0834) loss_d 0.0068 (0.0029) lr 0.0005 epoch [16/25][110/429] time 0.830 (0.833) data 0.000 (0.002) eta 0:58:02 loss_g -6.2076 (-6.7453) loss_f 0.0106 (0.0807) loss_d 0.0013 (0.0028) lr 0.0005 epoch [16/25][120/429] time 0.827 (0.833) data 0.000 (0.002) eta 0:57:53 loss_g -7.3423 (-6.7326) loss_f 0.0583 (0.0800) loss_d 0.0007 (0.0026) lr 0.0005 epoch [16/25][130/429] time 0.830 (0.833) data 0.000 (0.002) eta 0:57:44 loss_g -5.4232 (-6.6906) loss_f 0.0588 (0.0777) loss_d 0.0011 (0.0029) lr 0.0005 epoch [16/25][140/429] time 0.832 (0.832) data 0.000 (0.002) eta 0:57:34 loss_g -6.2193 (-6.6910) loss_f 0.1241 (0.0790) loss_d 0.0004 (0.0028) lr 0.0005 epoch [16/25][150/429] time 0.832 (0.832) data 0.000 (0.002) eta 0:57:26 loss_g -7.7784 (-6.7539) loss_f 0.0615 (0.0797) loss_d 0.0003 (0.0027) lr 0.0005 epoch [16/25][160/429] time 0.831 (0.832) data 0.000 (0.002) eta 0:57:17 loss_g -5.3416 (-6.7182) loss_f 0.0961 (0.0783) loss_d 0.0021 (0.0028) lr 0.0005 epoch [16/25][170/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:57:08 loss_g -8.7837 (-6.7376) loss_f 0.0164 (0.0778) loss_d 0.0001 (0.0035) lr 0.0005 epoch [16/25][180/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:57:00 loss_g -9.4365 (-6.7478) loss_f 0.0261 (0.0790) loss_d 0.0005 (0.0038) lr 0.0005 epoch [16/25][190/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:56:51 loss_g -5.9225 (-6.7553) loss_f 0.0095 (0.0815) loss_d 0.0054 (0.0040) lr 0.0005 epoch [16/25][200/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:56:42 loss_g -7.6618 (-6.7603) loss_f 0.0232 (0.0818) loss_d 0.0004 (0.0039) lr 0.0005 epoch [16/25][210/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:56:33 loss_g -6.4995 (-6.7364) loss_f 0.0558 (0.0829) loss_d 0.0007 (0.0040) lr 0.0005 epoch [16/25][220/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:56:25 loss_g -10.5834 (-6.7642) loss_f 0.1061 (0.0827) loss_d 0.0035 (0.0040) lr 0.0005 epoch [16/25][230/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:56:16 loss_g -5.7422 (-6.7852) loss_f 0.0612 (0.0828) loss_d 0.0127 (0.0041) lr 0.0005 epoch [16/25][240/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:56:08 loss_g -6.1913 (-6.7689) loss_f 0.0380 (0.0829) loss_d 0.0003 (0.0040) lr 0.0005 epoch [16/25][250/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:56:00 loss_g -5.4469 (-6.7728) loss_f 0.0145 (0.0824) loss_d 0.0013 (0.0039) lr 0.0005 epoch [16/25][260/429] time 0.834 (0.832) data 0.000 (0.001) eta 0:55:51 loss_g -7.4483 (-6.7570) loss_f 0.1213 (0.0815) loss_d 0.0007 (0.0040) lr 0.0005 epoch [16/25][270/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:55:42 loss_g -5.8261 (-6.7640) loss_f 0.0047 (0.0824) loss_d 0.0003 (0.0039) lr 0.0005 epoch [16/25][280/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:55:34 loss_g -7.0097 (-6.7705) loss_f 0.1163 (0.0829) loss_d 0.0009 (0.0038) lr 0.0005 epoch [16/25][290/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:55:26 loss_g -5.2212 (-6.7830) loss_f 0.1319 (0.0820) loss_d 0.0073 (0.0046) lr 0.0005 epoch [16/25][300/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:55:17 loss_g -5.4724 (-6.7805) loss_f 0.3008 (0.0819) loss_d 0.0004 (0.0045) lr 0.0005 epoch [16/25][310/429] time 0.830 (0.831) data 0.000 (0.001) eta 0:55:09 loss_g -5.6718 (-6.7586) loss_f 0.0202 (0.0819) loss_d 0.0000 (0.0045) lr 0.0005 epoch [16/25][320/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:55:00 loss_g -7.2267 (-6.7552) loss_f 0.0492 (0.0807) loss_d 0.0047 (0.0046) lr 0.0005 epoch [16/25][330/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:54:52 loss_g -8.1029 (-6.7470) loss_f 0.0565 (0.0804) loss_d 0.0044 (0.0048) lr 0.0005 epoch [16/25][340/429] time 0.830 (0.831) data 0.000 (0.001) eta 0:54:44 loss_g -5.2735 (-6.7576) loss_f 0.0590 (0.0807) loss_d 0.0004 (0.0047) lr 0.0005 epoch [16/25][350/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:54:35 loss_g -5.6943 (-6.7694) loss_f 0.0148 (0.0805) loss_d 0.0004 (0.0047) lr 0.0005 epoch [16/25][360/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:54:27 loss_g -4.6179 (-6.7663) loss_f 0.1403 (0.0808) loss_d 0.0016 (0.0046) lr 0.0005 epoch [16/25][370/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:54:19 loss_g -8.3223 (-6.7929) loss_f 0.0726 (0.0804) loss_d 0.0000 (0.0046) lr 0.0005 epoch [16/25][380/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:54:11 loss_g -4.4675 (-6.7747) loss_f 0.0459 (0.0800) loss_d 0.0005 (0.0046) lr 0.0005 epoch [16/25][390/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:54:02 loss_g -4.5295 (-6.7477) loss_f 0.0388 (0.0802) loss_d 0.0004 (0.0048) lr 0.0005 epoch [16/25][400/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:53:54 loss_g -6.0668 (-6.7380) loss_f 0.1364 (0.0806) loss_d 0.0592 (0.0050) lr 0.0005 epoch [16/25][410/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:53:45 loss_g -6.2038 (-6.7258) loss_f 0.0904 (0.0810) loss_d 0.0004 (0.0050) lr 0.0005 epoch [16/25][420/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:53:37 loss_g -7.3268 (-6.7287) loss_f 0.1749 (0.0804) loss_d 0.0006 (0.0049) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,772 * accuracy: 75.60% * error: 24.40% epoch [17/25][10/429] time 0.830 (0.851) data 0.000 (0.021) eta 0:54:36 loss_g -5.9467 (-6.5608) loss_f 0.0798 (0.0703) loss_d 0.0001 (0.0029) lr 0.0005 epoch [17/25][20/429] time 0.833 (0.842) data 0.000 (0.011) eta 0:53:52 loss_g -6.6132 (-6.7458) loss_f 0.0093 (0.0966) loss_d 0.0009 (0.0031) lr 0.0005 epoch [17/25][30/429] time 0.832 (0.838) data 0.000 (0.007) eta 0:53:32 loss_g -7.2066 (-6.7267) loss_f 0.1376 (0.1103) loss_d 0.0006 (0.0034) lr 0.0005 epoch [17/25][40/429] time 0.833 (0.836) data 0.000 (0.005) eta 0:53:15 loss_g -7.9436 (-6.8126) loss_f 0.0529 (0.0932) loss_d 0.0006 (0.0030) lr 0.0005 epoch [17/25][50/429] time 0.831 (0.835) data 0.000 (0.004) eta 0:53:02 loss_g -7.0346 (-6.8708) loss_f 0.1709 (0.0865) loss_d 0.0131 (0.0067) lr 0.0005 epoch [17/25][60/429] time 0.831 (0.834) data 0.000 (0.004) eta 0:52:51 loss_g -6.4694 (-6.8040) loss_f 0.0723 (0.0825) loss_d 0.0002 (0.0062) lr 0.0005 epoch [17/25][70/429] time 0.830 (0.834) data 0.000 (0.003) eta 0:52:40 loss_g -6.6265 (-6.7948) loss_f 0.1236 (0.0765) loss_d 0.0093 (0.0057) lr 0.0005 epoch [17/25][80/429] time 0.831 (0.833) data 0.000 (0.003) eta 0:52:30 loss_g -6.5492 (-6.7800) loss_f 0.0580 (0.0732) loss_d 0.0006 (0.0056) lr 0.0005 epoch [17/25][90/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:52:21 loss_g -6.6976 (-6.7923) loss_f 0.0035 (0.0704) loss_d 0.0042 (0.0059) lr 0.0005 epoch [17/25][100/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:52:12 loss_g -6.5008 (-6.8667) loss_f 0.2013 (0.0741) loss_d 0.0031 (0.0066) lr 0.0005 epoch [17/25][110/429] time 0.831 (0.833) data 0.000 (0.002) eta 0:52:03 loss_g -6.2678 (-6.8166) loss_f 0.0378 (0.0736) loss_d 0.0023 (0.0063) lr 0.0005 epoch [17/25][120/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:51:54 loss_g -5.9464 (-6.8620) loss_f 0.0278 (0.0727) loss_d 0.0011 (0.0068) lr 0.0005 epoch [17/25][130/429] time 0.830 (0.832) data 0.000 (0.002) eta 0:51:45 loss_g -4.8797 (-6.9110) loss_f 0.0359 (0.0717) loss_d 0.0041 (0.0065) lr 0.0005 epoch [17/25][140/429] time 0.830 (0.832) data 0.000 (0.002) eta 0:51:37 loss_g -6.8091 (-6.9202) loss_f 0.0451 (0.0742) loss_d 0.0002 (0.0070) lr 0.0005 epoch [17/25][150/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:51:28 loss_g -6.6094 (-6.9307) loss_f 0.0421 (0.0737) loss_d 0.0001 (0.0067) lr 0.0005 epoch [17/25][160/429] time 0.825 (0.832) data 0.000 (0.001) eta 0:51:19 loss_g -5.6078 (-6.9359) loss_f 0.2064 (0.0758) loss_d 0.0024 (0.0067) lr 0.0005 epoch [17/25][170/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:51:11 loss_g -5.1363 (-6.9513) loss_f 0.0262 (0.0754) loss_d 0.0004 (0.0063) lr 0.0005 epoch [17/25][180/429] time 0.823 (0.832) data 0.000 (0.001) eta 0:51:02 loss_g -7.6596 (-6.9466) loss_f 0.0552 (0.0749) loss_d 0.0375 (0.0066) lr 0.0005 epoch [17/25][190/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:50:54 loss_g -7.7936 (-6.9761) loss_f 0.0796 (0.0765) loss_d 0.0002 (0.0065) lr 0.0005 epoch [17/25][200/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:50:46 loss_g -7.5357 (-6.9674) loss_f 0.0467 (0.0755) loss_d 0.0021 (0.0063) lr 0.0005 epoch [17/25][210/429] time 0.834 (0.832) data 0.000 (0.001) eta 0:50:37 loss_g -8.6466 (-6.9652) loss_f 0.0392 (0.0755) loss_d 0.0038 (0.0060) lr 0.0005 epoch [17/25][220/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:50:29 loss_g -9.6521 (-6.9937) loss_f 0.0151 (0.0764) loss_d 0.0007 (0.0060) lr 0.0005 epoch [17/25][230/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:50:20 loss_g -7.0947 (-7.0149) loss_f 0.0778 (0.0753) loss_d 0.0006 (0.0059) lr 0.0005 epoch [17/25][240/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:50:12 loss_g -6.2797 (-6.9832) loss_f 0.0189 (0.0746) loss_d 0.0009 (0.0057) lr 0.0005 epoch [17/25][250/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:50:03 loss_g -7.0107 (-6.9576) loss_f 0.1261 (0.0768) loss_d 0.0095 (0.0056) lr 0.0005 epoch [17/25][260/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:49:55 loss_g -8.6995 (-7.0022) loss_f 0.1621 (0.0779) loss_d 0.0051 (0.0055) lr 0.0005 epoch [17/25][270/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:49:46 loss_g -6.9450 (-7.0324) loss_f 0.1982 (0.0780) loss_d 0.0005 (0.0054) lr 0.0005 epoch [17/25][280/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:49:38 loss_g -4.9451 (-7.0070) loss_f 0.1723 (0.0785) loss_d 0.0004 (0.0054) lr 0.0005 epoch [17/25][290/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:49:29 loss_g -8.4781 (-7.0311) loss_f 0.0832 (0.0780) loss_d 0.0004 (0.0053) lr 0.0005 epoch [17/25][300/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:49:21 loss_g -9.5702 (-7.0368) loss_f 0.0634 (0.0768) loss_d 0.0000 (0.0052) lr 0.0005 epoch [17/25][310/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:49:13 loss_g -5.1298 (-7.0474) loss_f 0.2430 (0.0770) loss_d 0.0118 (0.0052) lr 0.0005 epoch [17/25][320/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:49:04 loss_g -7.6176 (-7.0677) loss_f 0.1149 (0.0769) loss_d 0.0009 (0.0054) lr 0.0005 epoch [17/25][330/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:48:56 loss_g -8.7800 (-7.0837) loss_f 0.0266 (0.0758) loss_d 0.0002 (0.0052) lr 0.0005 epoch [17/25][340/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:48:48 loss_g -7.2080 (-7.1003) loss_f 0.1240 (0.0763) loss_d 0.0008 (0.0051) lr 0.0005 epoch [17/25][350/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:48:39 loss_g -6.6018 (-7.1094) loss_f 0.0753 (0.0755) loss_d 0.0002 (0.0053) lr 0.0005 epoch [17/25][360/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:48:31 loss_g -7.9425 (-7.1106) loss_f 0.0753 (0.0773) loss_d 0.0005 (0.0053) lr 0.0005 epoch [17/25][370/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:48:23 loss_g -8.6707 (-7.1223) loss_f 0.0089 (0.0772) loss_d 0.0006 (0.0052) lr 0.0005 epoch [17/25][380/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:48:15 loss_g -8.2920 (-7.1277) loss_f 0.0746 (0.0773) loss_d 0.0040 (0.0051) lr 0.0005 epoch [17/25][390/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:48:06 loss_g -5.1862 (-7.1216) loss_f 0.0229 (0.0774) loss_d 0.0001 (0.0050) lr 0.0005 epoch [17/25][400/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:47:58 loss_g -6.2815 (-7.1219) loss_f 0.3104 (0.0773) loss_d 0.0024 (0.0049) lr 0.0005 epoch [17/25][410/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:47:49 loss_g -7.4310 (-7.1298) loss_f 0.0399 (0.0770) loss_d 0.0000 (0.0048) lr 0.0005 epoch [17/25][420/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:47:41 loss_g -7.2028 (-7.1331) loss_f 0.0149 (0.0767) loss_d 0.0002 (0.0059) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,803 * accuracy: 76.92% * error: 23.08% epoch [18/25][10/429] time 0.830 (0.854) data 0.000 (0.024) eta 0:48:43 loss_g -7.7776 (-7.2734) loss_f 0.0432 (0.0572) loss_d 0.0027 (0.0140) lr 0.0005 epoch [18/25][20/429] time 0.833 (0.843) data 0.000 (0.012) eta 0:47:55 loss_g -5.0612 (-6.9435) loss_f 0.0537 (0.0623) loss_d 0.0060 (0.0098) lr 0.0005 epoch [18/25][30/429] time 0.833 (0.839) data 0.000 (0.008) eta 0:47:33 loss_g -7.5501 (-6.6408) loss_f 0.0505 (0.0618) loss_d 0.0001 (0.0078) lr 0.0005 epoch [18/25][40/429] time 0.833 (0.837) data 0.000 (0.006) eta 0:47:19 loss_g -7.5635 (-6.8435) loss_f 0.0506 (0.0592) loss_d 0.0009 (0.0062) lr 0.0005 epoch [18/25][50/429] time 0.832 (0.836) data 0.000 (0.005) eta 0:47:06 loss_g -9.3567 (-6.9673) loss_f 0.1231 (0.0630) loss_d 0.0196 (0.0059) lr 0.0005 epoch [18/25][60/429] time 0.826 (0.835) data 0.000 (0.004) eta 0:46:55 loss_g -8.9261 (-6.9209) loss_f 0.0621 (0.0671) loss_d 0.0323 (0.0056) lr 0.0005 epoch [18/25][70/429] time 0.833 (0.834) data 0.000 (0.003) eta 0:46:44 loss_g -8.4628 (-7.0435) loss_f 0.0195 (0.0623) loss_d 0.0072 (0.0053) lr 0.0005 epoch [18/25][80/429] time 0.833 (0.834) data 0.000 (0.003) eta 0:46:35 loss_g -8.6451 (-7.1750) loss_f 0.0169 (0.0611) loss_d 0.0003 (0.0047) lr 0.0005 epoch [18/25][90/429] time 0.833 (0.834) data 0.000 (0.003) eta 0:46:26 loss_g -7.2628 (-7.1435) loss_f 0.0422 (0.0627) loss_d 0.0023 (0.0043) lr 0.0005 epoch [18/25][100/429] time 0.831 (0.833) data 0.000 (0.002) eta 0:46:17 loss_g -7.9695 (-7.2076) loss_f 0.0079 (0.0683) loss_d 0.0001 (0.0043) lr 0.0005 epoch [18/25][110/429] time 0.829 (0.833) data 0.000 (0.002) eta 0:46:08 loss_g -8.7950 (-7.2508) loss_f 0.2241 (0.0695) loss_d 0.0002 (0.0041) lr 0.0005 epoch [18/25][120/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:45:59 loss_g -5.1593 (-7.1995) loss_f 0.0140 (0.0688) loss_d 0.0062 (0.0040) lr 0.0005 epoch [18/25][130/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:45:50 loss_g -5.1831 (-7.1788) loss_f 0.0949 (0.0687) loss_d 0.0002 (0.0045) lr 0.0005 epoch [18/25][140/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:45:41 loss_g -8.8981 (-7.2230) loss_f 0.0407 (0.0711) loss_d 0.0002 (0.0042) lr 0.0005 epoch [18/25][150/429] time 0.830 (0.833) data 0.000 (0.002) eta 0:45:32 loss_g -9.3701 (-7.2078) loss_f 0.0212 (0.0723) loss_d 0.0019 (0.0041) lr 0.0005 epoch [18/25][160/429] time 0.831 (0.833) data 0.000 (0.002) eta 0:45:24 loss_g -5.9088 (-7.2009) loss_f 0.0386 (0.0713) loss_d 0.0007 (0.0039) lr 0.0005 epoch [18/25][170/429] time 0.833 (0.833) data 0.000 (0.001) eta 0:45:16 loss_g -7.5835 (-7.2086) loss_f 0.1615 (0.0714) loss_d 0.0003 (0.0037) lr 0.0005 epoch [18/25][180/429] time 0.833 (0.833) data 0.000 (0.001) eta 0:45:07 loss_g -6.2849 (-7.2353) loss_f 0.0706 (0.0710) loss_d 0.0016 (0.0036) lr 0.0005 epoch [18/25][190/429] time 0.833 (0.833) data 0.000 (0.001) eta 0:44:58 loss_g -7.1290 (-7.2730) loss_f 0.2318 (0.0705) loss_d 0.0003 (0.0035) lr 0.0005 epoch [18/25][200/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:44:50 loss_g -6.1452 (-7.2549) loss_f 0.0489 (0.0693) loss_d 0.0009 (0.0034) lr 0.0005 epoch [18/25][210/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:44:41 loss_g -7.0799 (-7.2465) loss_f 0.2768 (0.0707) loss_d 0.0131 (0.0033) lr 0.0005 epoch [18/25][220/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:44:33 loss_g -6.1130 (-7.2789) loss_f 0.0180 (0.0716) loss_d 0.0021 (0.0032) lr 0.0005 epoch [18/25][230/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:44:25 loss_g -8.2960 (-7.2742) loss_f 0.0535 (0.0709) loss_d 0.0007 (0.0031) lr 0.0005 epoch [18/25][240/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:44:16 loss_g -9.1463 (-7.2895) loss_f 0.0167 (0.0726) loss_d 0.0005 (0.0030) lr 0.0005 epoch [18/25][250/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:44:08 loss_g -6.7633 (-7.3217) loss_f 0.0219 (0.0719) loss_d 0.0005 (0.0030) lr 0.0005 epoch [18/25][260/429] time 0.834 (0.832) data 0.000 (0.001) eta 0:44:00 loss_g -5.8342 (-7.3411) loss_f 0.0505 (0.0726) loss_d 0.0004 (0.0029) lr 0.0005 epoch [18/25][270/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:43:51 loss_g -7.5121 (-7.3333) loss_f 0.1091 (0.0738) loss_d 0.0005 (0.0029) lr 0.0005 epoch [18/25][280/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:43:43 loss_g -5.2731 (-7.3317) loss_f 0.0464 (0.0744) loss_d 0.0006 (0.0029) lr 0.0005 epoch [18/25][290/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:43:34 loss_g -8.1151 (-7.3291) loss_f 0.0027 (0.0763) loss_d 0.0003 (0.0030) lr 0.0005 epoch [18/25][300/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:43:26 loss_g -8.4832 (-7.3169) loss_f 0.0451 (0.0760) loss_d 0.0002 (0.0031) lr 0.0005 epoch [18/25][310/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:43:18 loss_g -9.3937 (-7.3315) loss_f 0.1314 (0.0759) loss_d 0.0012 (0.0031) lr 0.0005 epoch [18/25][320/429] time 0.828 (0.832) data 0.000 (0.001) eta 0:43:09 loss_g -8.5527 (-7.3239) loss_f 0.1083 (0.0759) loss_d 0.0008 (0.0030) lr 0.0005 epoch [18/25][330/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:43:01 loss_g -7.6287 (-7.3143) loss_f 0.2747 (0.0756) loss_d 0.0031 (0.0031) lr 0.0005 epoch [18/25][340/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:42:52 loss_g -4.7743 (-7.2975) loss_f 0.0089 (0.0760) loss_d 0.0005 (0.0033) lr 0.0005 epoch [18/25][350/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:42:44 loss_g -7.8435 (-7.2990) loss_f 0.0100 (0.0747) loss_d 0.0002 (0.0034) lr 0.0005 epoch [18/25][360/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:42:36 loss_g -8.4503 (-7.2993) loss_f 0.1482 (0.0742) loss_d 0.0020 (0.0035) lr 0.0005 epoch [18/25][370/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:42:27 loss_g -6.4703 (-7.2951) loss_f 0.1707 (0.0739) loss_d 0.0037 (0.0040) lr 0.0005 epoch [18/25][380/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:42:19 loss_g -9.0299 (-7.3010) loss_f 0.0424 (0.0733) loss_d 0.0011 (0.0040) lr 0.0005 epoch [18/25][390/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:42:10 loss_g -4.5936 (-7.3063) loss_f 0.1935 (0.0738) loss_d 0.0018 (0.0041) lr 0.0005 epoch [18/25][400/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:42:02 loss_g -6.2840 (-7.3106) loss_f 0.2541 (0.0739) loss_d 0.0003 (0.0040) lr 0.0005 epoch [18/25][410/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:41:54 loss_g -8.3899 (-7.3218) loss_f 0.0559 (0.0730) loss_d 0.0018 (0.0041) lr 0.0005 epoch [18/25][420/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:41:45 loss_g -7.3977 (-7.3310) loss_f 0.0919 (0.0725) loss_d 0.0006 (0.0041) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,807 * accuracy: 77.09% * error: 22.91% epoch [19/25][10/429] time 0.831 (0.855) data 0.000 (0.025) eta 0:42:38 loss_g -9.3091 (-7.6120) loss_f 0.2437 (0.0780) loss_d 0.0025 (0.0007) lr 0.0005 epoch [19/25][20/429] time 0.833 (0.843) data 0.000 (0.012) eta 0:41:55 loss_g -5.5746 (-7.5589) loss_f 0.0053 (0.0579) loss_d 0.0030 (0.0017) lr 0.0005 epoch [19/25][30/429] time 0.833 (0.840) data 0.000 (0.008) eta 0:41:35 loss_g -9.8262 (-7.4048) loss_f 0.0497 (0.0695) loss_d 0.0033 (0.0016) lr 0.0005 epoch [19/25][40/429] time 0.827 (0.838) data 0.000 (0.006) eta 0:41:21 loss_g -5.5244 (-7.4379) loss_f 0.0589 (0.0660) loss_d 0.0012 (0.0018) lr 0.0005 epoch [19/25][50/429] time 0.833 (0.836) data 0.000 (0.005) eta 0:41:09 loss_g -8.7414 (-7.4372) loss_f 0.0674 (0.0607) loss_d 0.0012 (0.0016) lr 0.0005 epoch [19/25][60/429] time 0.832 (0.835) data 0.000 (0.004) eta 0:40:58 loss_g -9.0140 (-7.6105) loss_f 0.0710 (0.0623) loss_d 0.0004 (0.0019) lr 0.0005 epoch [19/25][70/429] time 0.832 (0.835) data 0.000 (0.004) eta 0:40:49 loss_g -8.4985 (-7.6889) loss_f 0.0493 (0.0589) loss_d 0.0046 (0.0030) lr 0.0005 epoch [19/25][80/429] time 0.831 (0.835) data 0.000 (0.003) eta 0:40:39 loss_g -9.5992 (-7.7410) loss_f 0.0790 (0.0555) loss_d 0.0021 (0.0027) lr 0.0005 epoch [19/25][90/429] time 0.832 (0.834) data 0.000 (0.003) eta 0:40:30 loss_g -7.2845 (-7.7241) loss_f 0.0270 (0.0584) loss_d 0.0038 (0.0034) lr 0.0005 epoch [19/25][100/429] time 0.833 (0.834) data 0.000 (0.003) eta 0:40:21 loss_g -6.9497 (-7.7420) loss_f 0.0372 (0.0626) loss_d 0.0002 (0.0034) lr 0.0005 epoch [19/25][110/429] time 0.833 (0.834) data 0.000 (0.002) eta 0:40:12 loss_g -5.7740 (-7.7416) loss_f 0.1641 (0.0627) loss_d 0.0020 (0.0032) lr 0.0005 epoch [19/25][120/429] time 0.833 (0.834) data 0.000 (0.002) eta 0:40:03 loss_g -7.1514 (-7.7329) loss_f 0.0975 (0.0661) loss_d 0.0007 (0.0031) lr 0.0005 epoch [19/25][130/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:39:54 loss_g -2.5114 (-7.7269) loss_f 0.0923 (0.0663) loss_d 0.0028 (0.0029) lr 0.0005 epoch [19/25][140/429] time 0.831 (0.833) data 0.000 (0.002) eta 0:39:45 loss_g -5.4758 (-7.7000) loss_f 0.0378 (0.0658) loss_d 0.0170 (0.0029) lr 0.0005 epoch [19/25][150/429] time 0.833 (0.833) data 0.000 (0.002) eta 0:39:36 loss_g -9.0846 (-7.7329) loss_f 0.0478 (0.0654) loss_d 0.0037 (0.0027) lr 0.0005 epoch [19/25][160/429] time 0.826 (0.833) data 0.000 (0.002) eta 0:39:27 loss_g -6.6497 (-7.7077) loss_f 0.0225 (0.0651) loss_d 0.0001 (0.0033) lr 0.0005 epoch [19/25][170/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:39:19 loss_g -7.7822 (-7.7406) loss_f 0.0805 (0.0670) loss_d 0.0000 (0.0032) lr 0.0005 epoch [19/25][180/429] time 0.831 (0.833) data 0.000 (0.001) eta 0:39:10 loss_g -6.3006 (-7.7338) loss_f 0.0351 (0.0657) loss_d 0.0004 (0.0031) lr 0.0005 epoch [19/25][190/429] time 0.832 (0.833) data 0.000 (0.001) eta 0:39:02 loss_g -7.1224 (-7.7632) loss_f 0.0306 (0.0669) loss_d 0.0002 (0.0030) lr 0.0005 epoch [19/25][200/429] time 0.833 (0.833) data 0.000 (0.001) eta 0:38:53 loss_g -6.9226 (-7.7545) loss_f 0.0857 (0.0672) loss_d 0.0024 (0.0029) lr 0.0005 epoch [19/25][210/429] time 0.831 (0.833) data 0.000 (0.001) eta 0:38:45 loss_g -9.4730 (-7.7711) loss_f 0.2005 (0.0695) loss_d 0.0004 (0.0028) lr 0.0005 epoch [19/25][220/429] time 0.833 (0.833) data 0.000 (0.001) eta 0:38:36 loss_g -9.1318 (-7.7983) loss_f 0.0123 (0.0710) loss_d 0.0001 (0.0028) lr 0.0005 epoch [19/25][230/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:38:28 loss_g -7.7508 (-7.8282) loss_f 0.0865 (0.0705) loss_d 0.0003 (0.0027) lr 0.0005 epoch [19/25][240/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:38:19 loss_g -9.1039 (-7.8201) loss_f 0.0695 (0.0705) loss_d 0.0054 (0.0026) lr 0.0005 epoch [19/25][250/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:38:11 loss_g -9.9646 (-7.8573) loss_f 0.1000 (0.0709) loss_d 0.0107 (0.0027) lr 0.0005 epoch [19/25][260/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:38:03 loss_g -6.7672 (-7.8273) loss_f 0.1121 (0.0702) loss_d 0.0031 (0.0028) lr 0.0005 epoch [19/25][270/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:37:54 loss_g -7.6261 (-7.8427) loss_f 0.0069 (0.0692) loss_d 0.0009 (0.0027) lr 0.0005 epoch [19/25][280/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:37:46 loss_g -6.4066 (-7.8416) loss_f 0.0263 (0.0699) loss_d 0.0087 (0.0027) lr 0.0005 epoch [19/25][290/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:37:38 loss_g -6.7717 (-7.8587) loss_f 0.0995 (0.0708) loss_d 0.0023 (0.0029) lr 0.0005 epoch [19/25][300/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:37:29 loss_g -8.4710 (-7.8587) loss_f 0.0608 (0.0721) loss_d 0.0001 (0.0029) lr 0.0005 epoch [19/25][310/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:37:21 loss_g -5.5892 (-7.8467) loss_f 0.0713 (0.0715) loss_d 0.0100 (0.0030) lr 0.0005 epoch [19/25][320/429] time 0.828 (0.832) data 0.000 (0.001) eta 0:37:12 loss_g -6.9990 (-7.8216) loss_f 0.3360 (0.0730) loss_d 0.0017 (0.0033) lr 0.0005 epoch [19/25][330/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:37:04 loss_g -5.5272 (-7.8271) loss_f 0.0361 (0.0727) loss_d 0.0008 (0.0033) lr 0.0005 epoch [19/25][340/429] time 0.824 (0.832) data 0.000 (0.001) eta 0:36:55 loss_g -8.0686 (-7.8211) loss_f 0.2773 (0.0739) loss_d 0.0039 (0.0033) lr 0.0005 epoch [19/25][350/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:36:47 loss_g -9.6115 (-7.8293) loss_f 0.0110 (0.0740) loss_d 0.0001 (0.0033) lr 0.0005 epoch [19/25][360/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:36:39 loss_g -8.3678 (-7.8464) loss_f 0.0298 (0.0747) loss_d 0.0005 (0.0032) lr 0.0005 epoch [19/25][370/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:36:30 loss_g -10.0102 (-7.8585) loss_f 0.0036 (0.0741) loss_d 0.0014 (0.0051) lr 0.0005 epoch [19/25][380/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:36:22 loss_g -7.8919 (-7.8449) loss_f 0.0201 (0.0729) loss_d 0.0005 (0.0050) lr 0.0005 epoch [19/25][390/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:36:14 loss_g -8.8104 (-7.8528) loss_f 0.1797 (0.0723) loss_d 0.0012 (0.0050) lr 0.0005 epoch [19/25][400/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:36:05 loss_g -8.2142 (-7.8543) loss_f 0.1089 (0.0716) loss_d 0.0006 (0.0049) lr 0.0005 epoch [19/25][410/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:35:57 loss_g -8.3814 (-7.8626) loss_f 0.1140 (0.0718) loss_d 0.0003 (0.0048) lr 0.0005 epoch [19/25][420/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:35:49 loss_g -9.4677 (-7.8529) loss_f 0.0215 (0.0717) loss_d 0.0007 (0.0047) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,753 * accuracy: 74.79% * error: 25.21% epoch [20/25][10/429] time 0.833 (0.853) data 0.000 (0.023) eta 0:36:27 loss_g -9.2393 (-7.6495) loss_f 0.0067 (0.0389) loss_d 0.0015 (0.0041) lr 0.0005 epoch [20/25][20/429] time 0.833 (0.842) data 0.000 (0.011) eta 0:35:50 loss_g -9.2930 (-7.9943) loss_f 0.1256 (0.0437) loss_d 0.0106 (0.0032) lr 0.0005 epoch [20/25][30/429] time 0.832 (0.838) data 0.000 (0.008) eta 0:35:32 loss_g -9.4540 (-7.9569) loss_f 0.1157 (0.0541) loss_d 0.0095 (0.0031) lr 0.0005 epoch [20/25][40/429] time 0.826 (0.836) data 0.000 (0.006) eta 0:35:18 loss_g -7.3132 (-7.9754) loss_f 0.0156 (0.0527) loss_d 0.0021 (0.0032) lr 0.0005 epoch [20/25][50/429] time 0.830 (0.835) data 0.000 (0.005) eta 0:35:07 loss_g -7.9235 (-7.9978) loss_f 0.0163 (0.0517) loss_d 0.0011 (0.0027) lr 0.0005 epoch [20/25][60/429] time 0.832 (0.834) data 0.000 (0.004) eta 0:34:57 loss_g -7.5722 (-7.9341) loss_f 0.0734 (0.0550) loss_d 0.0002 (0.0025) lr 0.0005 epoch [20/25][70/429] time 0.830 (0.834) data 0.000 (0.003) eta 0:34:48 loss_g -7.4303 (-7.9657) loss_f 0.0121 (0.0535) loss_d 0.0011 (0.0023) lr 0.0005 epoch [20/25][80/429] time 0.832 (0.834) data 0.000 (0.003) eta 0:34:38 loss_g -8.9787 (-7.9598) loss_f 0.0688 (0.0551) loss_d 0.0001 (0.0022) lr 0.0005 epoch [20/25][90/429] time 0.826 (0.833) data 0.000 (0.003) eta 0:34:28 loss_g -10.9396 (-8.0590) loss_f 0.0705 (0.0539) loss_d 0.0007 (0.0045) lr 0.0005 epoch [20/25][100/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:34:19 loss_g -7.4090 (-8.0815) loss_f 0.0063 (0.0535) loss_d 0.0012 (0.0055) lr 0.0005 epoch [20/25][110/429] time 0.831 (0.832) data 0.000 (0.002) eta 0:34:11 loss_g -9.8875 (-8.1219) loss_f 0.0221 (0.0536) loss_d 0.0003 (0.0051) lr 0.0005 epoch [20/25][120/429] time 0.832 (0.832) data 0.000 (0.002) eta 0:34:02 loss_g -9.9793 (-8.1954) loss_f 0.0186 (0.0519) loss_d 0.0001 (0.0048) lr 0.0005 epoch [20/25][130/429] time 0.833 (0.832) data 0.000 (0.002) eta 0:33:53 loss_g -8.3741 (-8.2462) loss_f 0.0393 (0.0515) loss_d 0.0012 (0.0048) lr 0.0005 epoch [20/25][140/429] time 0.833 (0.832) data 0.000 (0.002) eta 0:33:45 loss_g -9.0053 (-8.3057) loss_f 0.0695 (0.0522) loss_d 0.0001 (0.0045) lr 0.0005 epoch [20/25][150/429] time 0.833 (0.832) data 0.000 (0.002) eta 0:33:36 loss_g -6.3455 (-8.3357) loss_f 0.0755 (0.0512) loss_d 0.0061 (0.0043) lr 0.0005 epoch [20/25][160/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:33:28 loss_g -8.5626 (-8.4067) loss_f 0.0583 (0.0507) loss_d 0.0013 (0.0041) lr 0.0005 epoch [20/25][170/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:33:20 loss_g -7.4741 (-8.3905) loss_f 0.0208 (0.0516) loss_d 0.0003 (0.0041) lr 0.0005 epoch [20/25][180/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:33:11 loss_g -8.9671 (-8.3972) loss_f 0.0141 (0.0540) loss_d 0.0002 (0.0042) lr 0.0005 epoch [20/25][190/429] time 0.827 (0.832) data 0.000 (0.001) eta 0:33:03 loss_g -7.3880 (-8.3861) loss_f 0.0551 (0.0543) loss_d 0.0011 (0.0040) lr 0.0005 epoch [20/25][200/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:32:54 loss_g -10.3804 (-8.3692) loss_f 0.0518 (0.0549) loss_d 0.0152 (0.0049) lr 0.0005 epoch [20/25][210/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:32:46 loss_g -8.0311 (-8.3206) loss_f 0.0168 (0.0540) loss_d 0.0001 (0.0051) lr 0.0005 epoch [20/25][220/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:32:38 loss_g -8.7839 (-8.3103) loss_f 0.0805 (0.0541) loss_d 0.0019 (0.0049) lr 0.0005 epoch [20/25][230/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:32:29 loss_g -7.5552 (-8.3031) loss_f 0.0791 (0.0541) loss_d 0.0014 (0.0048) lr 0.0005 epoch [20/25][240/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:32:21 loss_g -7.9105 (-8.3305) loss_f 0.0348 (0.0550) loss_d 0.0080 (0.0046) lr 0.0005 epoch [20/25][250/429] time 0.827 (0.832) data 0.000 (0.001) eta 0:32:13 loss_g -5.7971 (-8.3437) loss_f 0.1463 (0.0550) loss_d 0.0348 (0.0046) lr 0.0005 epoch [20/25][260/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:32:04 loss_g -10.0983 (-8.3748) loss_f 0.0117 (0.0550) loss_d 0.0003 (0.0046) lr 0.0005 epoch [20/25][270/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:31:56 loss_g -10.0736 (-8.4084) loss_f 0.2147 (0.0557) loss_d 0.0027 (0.0047) lr 0.0005 epoch [20/25][280/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:31:48 loss_g -8.6599 (-8.4035) loss_f 0.1388 (0.0577) loss_d 0.0202 (0.0046) lr 0.0005 epoch [20/25][290/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:31:39 loss_g -8.6855 (-8.4147) loss_f 0.0547 (0.0576) loss_d 0.0002 (0.0045) lr 0.0005 epoch [20/25][300/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:31:31 loss_g -8.9954 (-8.4345) loss_f 0.0160 (0.0577) loss_d 0.0010 (0.0044) lr 0.0005 epoch [20/25][310/429] time 0.823 (0.832) data 0.000 (0.001) eta 0:31:23 loss_g -6.6274 (-8.4227) loss_f 0.0392 (0.0580) loss_d 0.0001 (0.0044) lr 0.0005 epoch [20/25][320/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:31:14 loss_g -9.8990 (-8.4349) loss_f 0.0204 (0.0582) loss_d 0.0001 (0.0043) lr 0.0005 epoch [20/25][330/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:31:06 loss_g -9.0503 (-8.4183) loss_f 0.0676 (0.0594) loss_d 0.0005 (0.0044) lr 0.0005 epoch [20/25][340/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:30:57 loss_g -11.1377 (-8.4162) loss_f 0.2232 (0.0597) loss_d 0.0015 (0.0045) lr 0.0005 epoch [20/25][350/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:30:49 loss_g -8.6806 (-8.4034) loss_f 0.0149 (0.0594) loss_d 0.0148 (0.0046) lr 0.0005 epoch [20/25][360/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:30:41 loss_g -9.9881 (-8.4062) loss_f 0.0169 (0.0587) loss_d 0.0001 (0.0045) lr 0.0005 epoch [20/25][370/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:30:32 loss_g -7.1928 (-8.3937) loss_f 0.0220 (0.0584) loss_d 0.0055 (0.0045) lr 0.0005 epoch [20/25][380/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:30:24 loss_g -8.8187 (-8.3874) loss_f 0.0524 (0.0586) loss_d 0.0001 (0.0044) lr 0.0005 epoch [20/25][390/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:30:16 loss_g -8.2328 (-8.3897) loss_f 0.0558 (0.0584) loss_d 0.0010 (0.0044) lr 0.0005 epoch [20/25][400/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:30:07 loss_g -8.0045 (-8.3852) loss_f 0.1265 (0.0586) loss_d 0.0002 (0.0043) lr 0.0005 epoch [20/25][410/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:29:59 loss_g -8.9230 (-8.3875) loss_f 0.0279 (0.0588) loss_d 0.0010 (0.0043) lr 0.0005 epoch [20/25][420/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:29:51 loss_g -6.7534 (-8.3790) loss_f 0.0879 (0.0585) loss_d 0.0004 (0.0043) lr 0.0005 Do evaluation on test set => result * total: 2,344 * correct: 1,805 * accuracy: 77.01% * error: 22.99% epoch [21/25][10/429] time 0.832 (0.855) data 0.000 (0.023) eta 0:30:26 loss_g -7.7561 (-8.0815) loss_f 0.0016 (0.0377) loss_d 0.0013 (0.0047) lr 5e-05 epoch [21/25][20/429] time 0.822 (0.842) data 0.000 (0.012) eta 0:29:48 loss_g -8.5191 (-8.2179) loss_f 0.0292 (0.0672) loss_d 0.0001 (0.0035) lr 5e-05 epoch [21/25][30/429] time 0.833 (0.838) data 0.000 (0.008) eta 0:29:31 loss_g -11.4977 (-8.2285) loss_f 0.0112 (0.0548) loss_d 0.0003 (0.0037) lr 5e-05 epoch [21/25][40/429] time 0.832 (0.836) data 0.000 (0.006) eta 0:29:20 loss_g -7.8040 (-8.3359) loss_f 0.0107 (0.0505) loss_d 0.0168 (0.0034) lr 5e-05 epoch [21/25][50/429] time 0.826 (0.835) data 0.000 (0.005) eta 0:29:08 loss_g -7.7833 (-8.2411) loss_f 0.0052 (0.0690) loss_d 0.0001 (0.0032) lr 5e-05 epoch [21/25][60/429] time 0.830 (0.834) data 0.000 (0.004) eta 0:28:59 loss_g -9.4936 (-8.3050) loss_f 0.1453 (0.0675) loss_d 0.0004 (0.0028) lr 5e-05 epoch [21/25][70/429] time 0.827 (0.834) data 0.000 (0.003) eta 0:28:50 loss_g -8.5762 (-8.3361) loss_f 0.0799 (0.0720) loss_d 0.0001 (0.0025) lr 5e-05 epoch [21/25][80/429] time 0.833 (0.833) data 0.000 (0.003) eta 0:28:41 loss_g -8.9278 (-8.4141) loss_f 0.0067 (0.0669) loss_d 0.0007 (0.0033) lr 5e-05 epoch [21/25][90/429] time 0.824 (0.833) data 0.000 (0.003) eta 0:28:31 loss_g -10.8095 (-8.4426) loss_f 0.0497 (0.0659) loss_d 0.0003 (0.0032) lr 5e-05 epoch [21/25][100/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:28:22 loss_g -7.8284 (-8.4684) loss_f 0.0241 (0.0638) loss_d 0.0009 (0.0029) lr 5e-05 epoch [21/25][110/429] time 0.833 (0.833) data 0.000 (0.002) eta 0:28:14 loss_g -10.1085 (-8.5914) loss_f 0.0696 (0.0635) loss_d 0.0004 (0.0029) lr 5e-05 epoch [21/25][120/429] time 0.829 (0.832) data 0.000 (0.002) eta 0:28:05 loss_g -9.1980 (-8.6432) loss_f 0.0091 (0.0647) loss_d 0.0028 (0.0029) lr 5e-05 epoch [21/25][130/429] time 0.833 (0.832) data 0.000 (0.002) eta 0:27:57 loss_g -9.3603 (-8.7121) loss_f 0.0092 (0.0630) loss_d 0.0001 (0.0028) lr 5e-05 epoch [21/25][140/429] time 0.833 (0.832) data 0.000 (0.002) eta 0:27:48 loss_g -8.2166 (-8.7223) loss_f 0.3668 (0.0664) loss_d 0.0018 (0.0027) lr 5e-05 epoch [21/25][150/429] time 0.833 (0.832) data 0.000 (0.002) eta 0:27:40 loss_g -9.1955 (-8.7586) loss_f 0.0068 (0.0640) loss_d 0.0002 (0.0027) lr 5e-05 epoch [21/25][160/429] time 0.833 (0.832) data 0.000 (0.002) eta 0:27:32 loss_g -10.7605 (-8.7911) loss_f 0.0099 (0.0627) loss_d 0.0017 (0.0026) lr 5e-05 epoch [21/25][170/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:27:23 loss_g -8.2670 (-8.8258) loss_f 0.0154 (0.0625) loss_d 0.0018 (0.0026) lr 5e-05 epoch [21/25][180/429] time 0.828 (0.832) data 0.000 (0.001) eta 0:27:15 loss_g -9.8246 (-8.8441) loss_f 0.0185 (0.0623) loss_d 0.0006 (0.0026) lr 5e-05 epoch [21/25][190/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:27:06 loss_g -9.6338 (-8.8197) loss_f 0.2530 (0.0627) loss_d 0.0001 (0.0026) lr 5e-05 epoch [21/25][200/429] time 0.826 (0.832) data 0.000 (0.001) eta 0:26:58 loss_g -9.5325 (-8.8411) loss_f 0.0071 (0.0631) loss_d 0.0001 (0.0026) lr 5e-05 epoch [21/25][210/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:26:49 loss_g -10.6411 (-8.8604) loss_f 0.0211 (0.0636) loss_d 0.0005 (0.0025) lr 5e-05 epoch [21/25][220/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:26:41 loss_g -8.7507 (-8.8522) loss_f 0.2086 (0.0630) loss_d 0.0022 (0.0025) lr 5e-05 epoch [21/25][230/429] time 0.826 (0.832) data 0.000 (0.001) eta 0:26:32 loss_g -8.9422 (-8.8543) loss_f 0.0739 (0.0624) loss_d 0.0002 (0.0025) lr 5e-05 epoch [21/25][240/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:26:24 loss_g -9.1977 (-8.8626) loss_f 0.0808 (0.0621) loss_d 0.0017 (0.0025) lr 5e-05 epoch [21/25][250/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:26:16 loss_g -9.8329 (-8.8585) loss_f 0.1438 (0.0615) loss_d 0.0001 (0.0024) lr 5e-05 epoch [21/25][260/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:26:07 loss_g -10.5140 (-8.8745) loss_f 0.0878 (0.0620) loss_d 0.0072 (0.0024) lr 5e-05 epoch [21/25][270/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:25:59 loss_g -10.7557 (-8.9033) loss_f 0.0181 (0.0613) loss_d 0.0025 (0.0024) lr 5e-05 epoch [21/25][280/429] time 0.827 (0.832) data 0.000 (0.001) eta 0:25:50 loss_g -10.5393 (-8.9222) loss_f 0.2138 (0.0610) loss_d 0.0012 (0.0024) lr 5e-05 epoch [21/25][290/429] time 0.834 (0.832) data 0.000 (0.001) eta 0:25:42 loss_g -10.3663 (-8.9232) loss_f 0.0089 (0.0604) loss_d 0.0030 (0.0026) lr 5e-05 epoch [21/25][300/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:25:34 loss_g -8.8981 (-8.9420) loss_f 0.0341 (0.0597) loss_d 0.0092 (0.0026) lr 5e-05 epoch [21/25][310/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:25:25 loss_g -9.0537 (-8.9328) loss_f 0.0891 (0.0590) loss_d 0.0006 (0.0026) lr 5e-05 epoch [21/25][320/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:25:17 loss_g -10.0970 (-8.9082) loss_f 0.0438 (0.0589) loss_d 0.0001 (0.0026) lr 5e-05 epoch [21/25][330/429] time 0.825 (0.832) data 0.000 (0.001) eta 0:25:09 loss_g -10.4131 (-8.9168) loss_f 0.0018 (0.0585) loss_d 0.0012 (0.0025) lr 5e-05 epoch [21/25][340/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:25:00 loss_g -10.0527 (-8.9142) loss_f 0.1931 (0.0589) loss_d 0.0001 (0.0025) lr 5e-05 epoch [21/25][350/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:24:52 loss_g -10.3312 (-8.9117) loss_f 0.0145 (0.0587) loss_d 0.0004 (0.0025) lr 5e-05 epoch [21/25][360/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:24:44 loss_g -10.4156 (-8.9254) loss_f 0.0132 (0.0591) loss_d 0.0008 (0.0026) lr 5e-05 epoch [21/25][370/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:24:35 loss_g -8.1821 (-8.9272) loss_f 0.1763 (0.0592) loss_d 0.0026 (0.0026) lr 5e-05 epoch [21/25][380/429] time 0.834 (0.832) data 0.000 (0.001) eta 0:24:27 loss_g -10.5370 (-8.9371) loss_f 0.0119 (0.0593) loss_d 0.0007 (0.0026) lr 5e-05 epoch [21/25][390/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:24:19 loss_g -8.5700 (-8.9363) loss_f 0.0455 (0.0592) loss_d 0.0000 (0.0026) lr 5e-05 epoch [21/25][400/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:24:10 loss_g -8.5518 (-8.9391) loss_f 0.0998 (0.0592) loss_d 0.0001 (0.0025) lr 5e-05 epoch [21/25][410/429] time 0.828 (0.831) data 0.000 (0.001) eta 0:24:02 loss_g -10.0351 (-8.9427) loss_f 0.0474 (0.0590) loss_d 0.0002 (0.0025) lr 5e-05 epoch [21/25][420/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:23:54 loss_g -9.1263 (-8.9573) loss_f 0.0177 (0.0593) loss_d 0.0001 (0.0025) lr 5e-05 Do evaluation on test set => result * total: 2,344 * correct: 1,725 * accuracy: 73.59% * error: 26.41% epoch [22/25][10/429] time 0.832 (0.854) data 0.000 (0.023) eta 0:24:16 loss_g -8.1247 (-9.1806) loss_f 0.0464 (0.0518) loss_d 0.0008 (0.0008) lr 5e-05 epoch [22/25][20/429] time 0.828 (0.843) data 0.000 (0.012) eta 0:23:49 loss_g -9.2040 (-9.0011) loss_f 0.0071 (0.0395) loss_d 0.0006 (0.0034) lr 5e-05 epoch [22/25][30/429] time 0.830 (0.839) data 0.000 (0.008) eta 0:23:34 loss_g -6.2495 (-9.0422) loss_f 0.1751 (0.0504) loss_d 0.0023 (0.0028) lr 5e-05 epoch [22/25][40/429] time 0.833 (0.837) data 0.000 (0.006) eta 0:23:22 loss_g -8.7514 (-9.0246) loss_f 0.0132 (0.0493) loss_d 0.0014 (0.0024) lr 5e-05 epoch [22/25][50/429] time 0.832 (0.836) data 0.000 (0.005) eta 0:23:12 loss_g -10.1606 (-9.0423) loss_f 0.0175 (0.0445) loss_d 0.0005 (0.0023) lr 5e-05 epoch [22/25][60/429] time 0.832 (0.835) data 0.000 (0.004) eta 0:23:02 loss_g -10.8282 (-9.0892) loss_f 0.0160 (0.0453) loss_d 0.0001 (0.0041) lr 5e-05 epoch [22/25][70/429] time 0.831 (0.834) data 0.000 (0.003) eta 0:22:53 loss_g -7.4260 (-9.0320) loss_f 0.0059 (0.0437) loss_d 0.0012 (0.0036) lr 5e-05 epoch [22/25][80/429] time 0.833 (0.834) data 0.000 (0.003) eta 0:22:44 loss_g -8.1429 (-9.1024) loss_f 0.0070 (0.0417) loss_d 0.0003 (0.0033) lr 5e-05 epoch [22/25][90/429] time 0.831 (0.834) data 0.000 (0.003) eta 0:22:35 loss_g -11.2577 (-9.0360) loss_f 0.1412 (0.0460) loss_d 0.0030 (0.0032) lr 5e-05 epoch [22/25][100/429] time 0.832 (0.834) data 0.000 (0.002) eta 0:22:26 loss_g -7.8534 (-9.0148) loss_f 0.0516 (0.0484) loss_d 0.0020 (0.0034) lr 5e-05 epoch [22/25][110/429] time 0.831 (0.833) data 0.000 (0.002) eta 0:22:18 loss_g -9.6345 (-9.0195) loss_f 0.0093 (0.0501) loss_d 0.0002 (0.0033) lr 5e-05 epoch [22/25][120/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:22:09 loss_g -10.4429 (-9.0040) loss_f 0.0465 (0.0533) loss_d 0.0002 (0.0032) lr 5e-05 epoch [22/25][130/429] time 0.833 (0.833) data 0.000 (0.002) eta 0:22:01 loss_g -8.2720 (-9.0310) loss_f 0.0169 (0.0553) loss_d 0.0017 (0.0033) lr 5e-05 epoch [22/25][140/429] time 0.831 (0.833) data 0.000 (0.002) eta 0:21:52 loss_g -9.4123 (-9.0629) loss_f 0.0236 (0.0560) loss_d 0.0003 (0.0032) lr 5e-05 epoch [22/25][150/429] time 0.833 (0.833) data 0.000 (0.002) eta 0:21:44 loss_g -10.0419 (-9.1153) loss_f 0.0252 (0.0563) loss_d 0.0075 (0.0031) lr 5e-05 epoch [22/25][160/429] time 0.831 (0.833) data 0.000 (0.002) eta 0:21:35 loss_g -9.8711 (-9.1674) loss_f 0.0158 (0.0561) loss_d 0.0001 (0.0029) lr 5e-05 epoch [22/25][170/429] time 0.829 (0.833) data 0.000 (0.001) eta 0:21:27 loss_g -9.3817 (-9.1223) loss_f 0.1363 (0.0578) loss_d 0.0006 (0.0033) lr 5e-05 epoch [22/25][180/429] time 0.833 (0.833) data 0.000 (0.001) eta 0:21:18 loss_g -8.2394 (-9.1022) loss_f 0.1319 (0.0595) loss_d 0.0003 (0.0031) lr 5e-05 epoch [22/25][190/429] time 0.832 (0.833) data 0.000 (0.001) eta 0:21:10 loss_g -9.7525 (-9.1292) loss_f 0.0219 (0.0597) loss_d 0.0009 (0.0031) lr 5e-05 epoch [22/25][200/429] time 0.832 (0.833) data 0.000 (0.001) eta 0:21:02 loss_g -8.2086 (-9.1051) loss_f 0.0368 (0.0596) loss_d 0.0003 (0.0030) lr 5e-05 epoch [22/25][210/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:20:53 loss_g -10.2307 (-9.1283) loss_f 0.0427 (0.0596) loss_d 0.0003 (0.0031) lr 5e-05 epoch [22/25][220/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:20:45 loss_g -9.6163 (-9.1587) loss_f 0.0200 (0.0597) loss_d 0.0003 (0.0031) lr 5e-05 epoch [22/25][230/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:20:36 loss_g -8.3201 (-9.1602) loss_f 0.0207 (0.0590) loss_d 0.0009 (0.0030) lr 5e-05 epoch [22/25][240/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:20:28 loss_g -8.1207 (-9.1385) loss_f 0.1129 (0.0595) loss_d 0.0002 (0.0029) lr 5e-05 epoch [22/25][250/429] time 0.826 (0.832) data 0.000 (0.001) eta 0:20:20 loss_g -9.3462 (-9.1465) loss_f 0.0440 (0.0599) loss_d 0.0002 (0.0028) lr 5e-05 epoch [22/25][260/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:20:11 loss_g -9.6298 (-9.1883) loss_f 0.1092 (0.0613) loss_d 0.0012 (0.0028) lr 5e-05 epoch [22/25][270/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:20:03 loss_g -10.3897 (-9.1912) loss_f 0.0330 (0.0608) loss_d 0.0004 (0.0028) lr 5e-05 epoch [22/25][280/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:19:55 loss_g -8.8694 (-9.2083) loss_f 0.0438 (0.0599) loss_d 0.0004 (0.0028) lr 5e-05 epoch [22/25][290/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:19:46 loss_g -7.8446 (-9.2264) loss_f 0.0618 (0.0607) loss_d 0.0004 (0.0027) lr 5e-05 epoch [22/25][300/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:19:38 loss_g -11.5269 (-9.2525) loss_f 0.1003 (0.0615) loss_d 0.0035 (0.0027) lr 5e-05 epoch [22/25][310/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:19:29 loss_g -8.5320 (-9.2428) loss_f 0.4798 (0.0635) loss_d 0.0007 (0.0027) lr 5e-05 epoch [22/25][320/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:19:21 loss_g -10.0548 (-9.2192) loss_f 0.1010 (0.0639) loss_d 0.0002 (0.0026) lr 5e-05 epoch [22/25][330/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:19:13 loss_g -11.9414 (-9.2181) loss_f 0.0193 (0.0628) loss_d 0.0001 (0.0026) lr 5e-05 epoch [22/25][340/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:19:04 loss_g -11.1141 (-9.2125) loss_f 0.0045 (0.0628) loss_d 0.0003 (0.0025) lr 5e-05 epoch [22/25][350/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:18:56 loss_g -11.2592 (-9.1974) loss_f 0.0078 (0.0621) loss_d 0.0001 (0.0025) lr 5e-05 epoch [22/25][360/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:18:48 loss_g -9.1793 (-9.1869) loss_f 0.0476 (0.0615) loss_d 0.0002 (0.0025) lr 5e-05 epoch [22/25][370/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:18:39 loss_g -10.8221 (-9.1978) loss_f 0.0205 (0.0613) loss_d 0.0002 (0.0026) lr 5e-05 epoch [22/25][380/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:18:31 loss_g -10.6626 (-9.1985) loss_f 0.0044 (0.0604) loss_d 0.0004 (0.0026) lr 5e-05 epoch [22/25][390/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:18:23 loss_g -11.2880 (-9.2038) loss_f 0.0318 (0.0598) loss_d 0.0012 (0.0025) lr 5e-05 epoch [22/25][400/429] time 0.828 (0.832) data 0.000 (0.001) eta 0:18:14 loss_g -9.3806 (-9.2203) loss_f 0.0372 (0.0599) loss_d 0.0001 (0.0025) lr 5e-05 epoch [22/25][410/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:18:06 loss_g -7.9187 (-9.2280) loss_f 0.1210 (0.0594) loss_d 0.0002 (0.0024) lr 5e-05 epoch [22/25][420/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:17:58 loss_g -8.0639 (-9.2310) loss_f 0.0022 (0.0586) loss_d 0.0567 (0.0025) lr 5e-05 Do evaluation on test set => result * total: 2,344 * correct: 1,711 * accuracy: 72.99% * error: 27.01% epoch [23/25][10/429] time 0.831 (0.853) data 0.000 (0.024) eta 0:18:09 loss_g -10.3189 (-8.2793) loss_f 0.0400 (0.0688) loss_d 0.0015 (0.0011) lr 5e-05 epoch [23/25][20/429] time 0.833 (0.842) data 0.000 (0.012) eta 0:17:46 loss_g -9.1199 (-8.6813) loss_f 0.0030 (0.0586) loss_d 0.0005 (0.0031) lr 5e-05 epoch [23/25][30/429] time 0.833 (0.839) data 0.000 (0.008) eta 0:17:34 loss_g -9.0934 (-8.9111) loss_f 0.0649 (0.0614) loss_d 0.0004 (0.0024) lr 5e-05 epoch [23/25][40/429] time 0.832 (0.837) data 0.000 (0.006) eta 0:17:23 loss_g -8.1290 (-9.0388) loss_f 0.0206 (0.0520) loss_d 0.0003 (0.0020) lr 5e-05 epoch [23/25][50/429] time 0.831 (0.836) data 0.000 (0.005) eta 0:17:13 loss_g -10.1486 (-9.1847) loss_f 0.0228 (0.0593) loss_d 0.0004 (0.0017) lr 5e-05 epoch [23/25][60/429] time 0.832 (0.834) data 0.000 (0.004) eta 0:17:03 loss_g -9.9101 (-9.2726) loss_f 0.0711 (0.0547) loss_d 0.0001 (0.0017) lr 5e-05 epoch [23/25][70/429] time 0.828 (0.834) data 0.000 (0.004) eta 0:16:54 loss_g -9.8907 (-9.3063) loss_f 0.0478 (0.0535) loss_d 0.0057 (0.0016) lr 5e-05 epoch [23/25][80/429] time 0.832 (0.833) data 0.000 (0.003) eta 0:16:45 loss_g -9.8669 (-9.3512) loss_f 0.0326 (0.0543) loss_d 0.0002 (0.0018) lr 5e-05 epoch [23/25][90/429] time 0.832 (0.833) data 0.000 (0.003) eta 0:16:37 loss_g -11.1673 (-9.4430) loss_f 0.1602 (0.0557) loss_d 0.0005 (0.0022) lr 5e-05 epoch [23/25][100/429] time 0.829 (0.833) data 0.000 (0.002) eta 0:16:28 loss_g -10.0579 (-9.4810) loss_f 0.0218 (0.0546) loss_d 0.0038 (0.0024) lr 5e-05 epoch [23/25][110/429] time 0.830 (0.833) data 0.000 (0.002) eta 0:16:20 loss_g -11.0159 (-9.4200) loss_f 0.0176 (0.0556) loss_d 0.0001 (0.0023) lr 5e-05 epoch [23/25][120/429] time 0.831 (0.833) data 0.000 (0.002) eta 0:16:11 loss_g -8.6813 (-9.3807) loss_f 0.0551 (0.0535) loss_d 0.0029 (0.0022) lr 5e-05 epoch [23/25][130/429] time 0.832 (0.832) data 0.000 (0.002) eta 0:16:02 loss_g -6.9030 (-9.3940) loss_f 0.0410 (0.0538) loss_d 0.0008 (0.0021) lr 5e-05 epoch [23/25][140/429] time 0.828 (0.832) data 0.000 (0.002) eta 0:15:54 loss_g -7.5557 (-9.3491) loss_f 0.0240 (0.0545) loss_d 0.0003 (0.0020) lr 5e-05 epoch [23/25][150/429] time 0.834 (0.832) data 0.000 (0.002) eta 0:15:45 loss_g -9.6180 (-9.3161) loss_f 0.1027 (0.0539) loss_d 0.0005 (0.0020) lr 5e-05 epoch [23/25][160/429] time 0.827 (0.832) data 0.000 (0.002) eta 0:15:37 loss_g -8.1779 (-9.3332) loss_f 0.0035 (0.0555) loss_d 0.0000 (0.0020) lr 5e-05 epoch [23/25][170/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:15:29 loss_g -8.8117 (-9.3268) loss_f 0.0427 (0.0550) loss_d 0.0001 (0.0020) lr 5e-05 epoch [23/25][180/429] time 0.824 (0.832) data 0.000 (0.001) eta 0:15:20 loss_g -10.7196 (-9.3419) loss_f 0.0483 (0.0533) loss_d 0.0005 (0.0019) lr 5e-05 epoch [23/25][190/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:15:12 loss_g -10.4028 (-9.3416) loss_f 0.0093 (0.0527) loss_d 0.0001 (0.0019) lr 5e-05 epoch [23/25][200/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:15:03 loss_g -8.4809 (-9.3436) loss_f 0.0107 (0.0520) loss_d 0.0003 (0.0020) lr 5e-05 epoch [23/25][210/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:14:55 loss_g -7.8877 (-9.3442) loss_f 0.0058 (0.0516) loss_d 0.0006 (0.0019) lr 5e-05 epoch [23/25][220/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:14:47 loss_g -8.6391 (-9.3256) loss_f 0.0200 (0.0526) loss_d 0.0032 (0.0019) lr 5e-05 epoch [23/25][230/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:14:38 loss_g -10.4382 (-9.3459) loss_f 0.0759 (0.0530) loss_d 0.0003 (0.0018) lr 5e-05 epoch [23/25][240/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:14:30 loss_g -9.5910 (-9.3422) loss_f 0.1631 (0.0527) loss_d 0.0000 (0.0018) lr 5e-05 epoch [23/25][250/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:14:22 loss_g -6.8824 (-9.3128) loss_f 0.0220 (0.0531) loss_d 0.0006 (0.0017) lr 5e-05 epoch [23/25][260/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:14:13 loss_g -10.1423 (-9.3188) loss_f 0.0055 (0.0522) loss_d 0.0001 (0.0017) lr 5e-05 epoch [23/25][270/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:14:05 loss_g -7.5502 (-9.2922) loss_f 0.1012 (0.0525) loss_d 0.0005 (0.0017) lr 5e-05 epoch [23/25][280/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:13:57 loss_g -6.2189 (-9.2649) loss_f 0.1024 (0.0532) loss_d 0.0045 (0.0017) lr 5e-05 epoch [23/25][290/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:13:48 loss_g -12.5357 (-9.2895) loss_f 0.0051 (0.0526) loss_d 0.0007 (0.0017) lr 5e-05 epoch [23/25][300/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:13:40 loss_g -10.6392 (-9.3105) loss_f 0.0827 (0.0527) loss_d 0.0007 (0.0017) lr 5e-05 epoch [23/25][310/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:13:32 loss_g -11.0966 (-9.3205) loss_f 0.0290 (0.0522) loss_d 0.0020 (0.0017) lr 5e-05 epoch [23/25][320/429] time 0.830 (0.831) data 0.000 (0.001) eta 0:13:23 loss_g -7.6501 (-9.3105) loss_f 0.0103 (0.0515) loss_d 0.0026 (0.0018) lr 5e-05 epoch [23/25][330/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:13:15 loss_g -10.5609 (-9.3185) loss_f 0.0197 (0.0531) loss_d 0.0001 (0.0019) lr 5e-05 epoch [23/25][340/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:13:07 loss_g -9.4766 (-9.3288) loss_f 0.0866 (0.0536) loss_d 0.0004 (0.0021) lr 5e-05 epoch [23/25][350/429] time 0.830 (0.831) data 0.000 (0.001) eta 0:12:58 loss_g -9.8018 (-9.3482) loss_f 0.0765 (0.0539) loss_d 0.0026 (0.0021) lr 5e-05 epoch [23/25][360/429] time 0.830 (0.831) data 0.000 (0.001) eta 0:12:50 loss_g -8.5487 (-9.3417) loss_f 0.0608 (0.0533) loss_d 0.0001 (0.0022) lr 5e-05 epoch [23/25][370/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:12:42 loss_g -7.6522 (-9.3313) loss_f 0.1376 (0.0534) loss_d 0.0042 (0.0022) lr 5e-05 epoch [23/25][380/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:12:33 loss_g -10.3052 (-9.3131) loss_f 0.0096 (0.0528) loss_d 0.0013 (0.0024) lr 5e-05 epoch [23/25][390/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:12:25 loss_g -7.5047 (-9.3050) loss_f 0.0756 (0.0527) loss_d 0.0008 (0.0024) lr 5e-05 epoch [23/25][400/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:12:17 loss_g -8.9987 (-9.3371) loss_f 0.0363 (0.0525) loss_d 0.0002 (0.0024) lr 5e-05 epoch [23/25][410/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:12:09 loss_g -11.5667 (-9.3618) loss_f 0.1295 (0.0521) loss_d 0.0005 (0.0023) lr 5e-05 epoch [23/25][420/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:12:00 loss_g -9.9002 (-9.3695) loss_f 0.0491 (0.0517) loss_d 0.0003 (0.0024) lr 5e-05 Do evaluation on test set => result * total: 2,344 * correct: 1,723 * accuracy: 73.51% * error: 26.49% epoch [24/25][10/429] time 0.831 (0.854) data 0.000 (0.025) eta 0:12:04 loss_g -8.0016 (-9.5570) loss_f 0.1118 (0.0751) loss_d 0.0005 (0.0074) lr 5e-05 epoch [24/25][20/429] time 0.832 (0.843) data 0.000 (0.012) eta 0:11:46 loss_g -10.2425 (-9.6374) loss_f 0.0417 (0.0588) loss_d 0.0008 (0.0044) lr 5e-05 epoch [24/25][30/429] time 0.822 (0.839) data 0.000 (0.008) eta 0:11:34 loss_g -10.1062 (-9.4422) loss_f 0.0129 (0.0557) loss_d 0.0004 (0.0032) lr 5e-05 epoch [24/25][40/429] time 0.831 (0.837) data 0.000 (0.006) eta 0:11:24 loss_g -11.6402 (-9.5744) loss_f 0.0243 (0.0566) loss_d 0.0008 (0.0028) lr 5e-05 epoch [24/25][50/429] time 0.832 (0.836) data 0.000 (0.005) eta 0:11:15 loss_g -7.8159 (-9.5253) loss_f 0.1795 (0.0534) loss_d 0.0007 (0.0026) lr 5e-05 epoch [24/25][60/429] time 0.832 (0.835) data 0.000 (0.004) eta 0:11:06 loss_g -10.1062 (-9.5768) loss_f 0.0198 (0.0588) loss_d 0.0038 (0.0038) lr 5e-05 epoch [24/25][70/429] time 0.832 (0.835) data 0.000 (0.004) eta 0:10:57 loss_g -6.2566 (-9.5255) loss_f 0.1071 (0.0568) loss_d 0.0003 (0.0036) lr 5e-05 epoch [24/25][80/429] time 0.829 (0.834) data 0.000 (0.003) eta 0:10:49 loss_g -9.3360 (-9.5687) loss_f 0.0197 (0.0586) loss_d 0.0031 (0.0033) lr 5e-05 epoch [24/25][90/429] time 0.830 (0.834) data 0.000 (0.003) eta 0:10:40 loss_g -8.6196 (-9.5080) loss_f 0.0119 (0.0584) loss_d 0.0021 (0.0031) lr 5e-05 epoch [24/25][100/429] time 0.832 (0.834) data 0.000 (0.003) eta 0:10:31 loss_g -10.1163 (-9.5698) loss_f 0.0144 (0.0590) loss_d 0.0022 (0.0029) lr 5e-05 epoch [24/25][110/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:10:23 loss_g -8.6919 (-9.5670) loss_f 0.0066 (0.0592) loss_d 0.0019 (0.0027) lr 5e-05 epoch [24/25][120/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:10:14 loss_g -10.1727 (-9.4897) loss_f 0.0204 (0.0597) loss_d 0.0004 (0.0028) lr 5e-05 epoch [24/25][130/429] time 0.828 (0.833) data 0.000 (0.002) eta 0:10:06 loss_g -9.3833 (-9.4482) loss_f 0.1122 (0.0605) loss_d 0.0014 (0.0027) lr 5e-05 epoch [24/25][140/429] time 0.828 (0.833) data 0.000 (0.002) eta 0:09:58 loss_g -10.0346 (-9.4680) loss_f 0.1632 (0.0618) loss_d 0.0009 (0.0025) lr 5e-05 epoch [24/25][150/429] time 0.831 (0.833) data 0.000 (0.002) eta 0:09:49 loss_g -7.1565 (-9.4235) loss_f 0.3619 (0.0644) loss_d 0.0012 (0.0024) lr 5e-05 epoch [24/25][160/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:09:41 loss_g -8.9064 (-9.4140) loss_f 0.0631 (0.0628) loss_d 0.0017 (0.0023) lr 5e-05 epoch [24/25][170/429] time 0.832 (0.832) data 0.000 (0.002) eta 0:09:32 loss_g -8.1431 (-9.4216) loss_f 0.0218 (0.0620) loss_d 0.0005 (0.0023) lr 5e-05 epoch [24/25][180/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:09:24 loss_g -11.2283 (-9.4122) loss_f 0.0756 (0.0622) loss_d 0.0002 (0.0022) lr 5e-05 epoch [24/25][190/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:09:15 loss_g -10.8755 (-9.4354) loss_f 0.0194 (0.0635) loss_d 0.0037 (0.0023) lr 5e-05 epoch [24/25][200/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:09:07 loss_g -11.1429 (-9.4330) loss_f 0.0974 (0.0642) loss_d 0.0005 (0.0023) lr 5e-05 epoch [24/25][210/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:08:59 loss_g -9.5706 (-9.4238) loss_f 0.0268 (0.0632) loss_d 0.0039 (0.0025) lr 5e-05 epoch [24/25][220/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:08:50 loss_g -10.9077 (-9.4436) loss_f 0.0646 (0.0633) loss_d 0.0004 (0.0024) lr 5e-05 epoch [24/25][230/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:08:42 loss_g -11.3229 (-9.4590) loss_f 0.1866 (0.0631) loss_d 0.0006 (0.0024) lr 5e-05 epoch [24/25][240/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:08:34 loss_g -8.9665 (-9.4402) loss_f 0.0558 (0.0620) loss_d 0.0024 (0.0023) lr 5e-05 epoch [24/25][250/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:08:25 loss_g -8.2686 (-9.4215) loss_f 0.1721 (0.0623) loss_d 0.0067 (0.0023) lr 5e-05 epoch [24/25][260/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:08:17 loss_g -9.6211 (-9.4269) loss_f 0.0135 (0.0634) loss_d 0.0004 (0.0022) lr 5e-05 epoch [24/25][270/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:08:09 loss_g -10.1318 (-9.4450) loss_f 0.0392 (0.0627) loss_d 0.0002 (0.0022) lr 5e-05 epoch [24/25][280/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:08:00 loss_g -10.9215 (-9.4382) loss_f 0.0280 (0.0628) loss_d 0.0002 (0.0021) lr 5e-05 epoch [24/25][290/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:07:52 loss_g -8.5538 (-9.4249) loss_f 0.1144 (0.0627) loss_d 0.0005 (0.0021) lr 5e-05 epoch [24/25][300/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:07:44 loss_g -9.6949 (-9.4387) loss_f 0.0190 (0.0625) loss_d 0.0010 (0.0020) lr 5e-05 epoch [24/25][310/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:07:35 loss_g -8.2925 (-9.4337) loss_f 0.0195 (0.0615) loss_d 0.0004 (0.0023) lr 5e-05 epoch [24/25][320/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:07:27 loss_g -11.9236 (-9.4390) loss_f 0.0070 (0.0613) loss_d 0.0002 (0.0024) lr 5e-05 epoch [24/25][330/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:07:19 loss_g -9.5904 (-9.4241) loss_f 0.1228 (0.0611) loss_d 0.0008 (0.0024) lr 5e-05 epoch [24/25][340/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:07:10 loss_g -10.3920 (-9.4330) loss_f 0.0177 (0.0608) loss_d 0.0002 (0.0024) lr 5e-05 epoch [24/25][350/429] time 0.823 (0.832) data 0.000 (0.001) eta 0:07:02 loss_g -9.0248 (-9.4256) loss_f 0.0686 (0.0604) loss_d 0.0016 (0.0023) lr 5e-05 epoch [24/25][360/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:06:54 loss_g -9.9299 (-9.4355) loss_f 0.1201 (0.0603) loss_d 0.0001 (0.0023) lr 5e-05 epoch [24/25][370/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:06:45 loss_g -10.9427 (-9.4450) loss_f 0.0173 (0.0592) loss_d 0.0006 (0.0023) lr 5e-05 epoch [24/25][380/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:06:37 loss_g -6.9401 (-9.4356) loss_f 0.0954 (0.0587) loss_d 0.0005 (0.0022) lr 5e-05 epoch [24/25][390/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:06:29 loss_g -6.2229 (-9.4304) loss_f 0.0599 (0.0581) loss_d 0.0004 (0.0022) lr 5e-05 epoch [24/25][400/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:06:20 loss_g -7.1477 (-9.4273) loss_f 0.1803 (0.0585) loss_d 0.0012 (0.0022) lr 5e-05 epoch [24/25][410/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:06:12 loss_g -10.0428 (-9.4320) loss_f 0.0150 (0.0584) loss_d 0.0001 (0.0022) lr 5e-05 epoch [24/25][420/429] time 0.830 (0.832) data 0.000 (0.001) eta 0:06:04 loss_g -8.3951 (-9.4309) loss_f 0.0591 (0.0590) loss_d 0.0002 (0.0022) lr 5e-05 Do evaluation on test set => result * total: 2,344 * correct: 1,749 * accuracy: 74.62% * error: 25.38% epoch [25/25][10/429] time 0.833 (0.855) data 0.000 (0.025) eta 0:05:58 loss_g -10.5610 (-9.7926) loss_f 0.0141 (0.0854) loss_d 0.0001 (0.0005) lr 5e-05 epoch [25/25][20/429] time 0.829 (0.842) data 0.000 (0.013) eta 0:05:44 loss_g -11.2131 (-9.6942) loss_f 0.0104 (0.0548) loss_d 0.0010 (0.0007) lr 5e-05 epoch [25/25][30/429] time 0.831 (0.839) data 0.000 (0.008) eta 0:05:34 loss_g -10.6055 (-9.7047) loss_f 0.1581 (0.0548) loss_d 0.0067 (0.0008) lr 5e-05 epoch [25/25][40/429] time 0.831 (0.837) data 0.000 (0.006) eta 0:05:25 loss_g -7.3706 (-9.5946) loss_f 0.1256 (0.0601) loss_d 0.0009 (0.0008) lr 5e-05 epoch [25/25][50/429] time 0.832 (0.835) data 0.000 (0.005) eta 0:05:16 loss_g -10.0440 (-9.6562) loss_f 0.0479 (0.0608) loss_d 0.0002 (0.0010) lr 5e-05 epoch [25/25][60/429] time 0.827 (0.835) data 0.000 (0.004) eta 0:05:07 loss_g -8.5743 (-9.4789) loss_f 0.1050 (0.0584) loss_d 0.0003 (0.0010) lr 5e-05 epoch [25/25][70/429] time 0.828 (0.834) data 0.000 (0.004) eta 0:04:59 loss_g -8.3389 (-9.5401) loss_f 0.0438 (0.0579) loss_d 0.0005 (0.0009) lr 5e-05 epoch [25/25][80/429] time 0.832 (0.834) data 0.000 (0.003) eta 0:04:50 loss_g -8.3583 (-9.5068) loss_f 0.0117 (0.0547) loss_d 0.0005 (0.0011) lr 5e-05 epoch [25/25][90/429] time 0.831 (0.833) data 0.000 (0.003) eta 0:04:42 loss_g -9.4538 (-9.4824) loss_f 0.0335 (0.0520) loss_d 0.0004 (0.0010) lr 5e-05 epoch [25/25][100/429] time 0.831 (0.833) data 0.000 (0.003) eta 0:04:34 loss_g -9.2617 (-9.4401) loss_f 0.0287 (0.0517) loss_d 0.0000 (0.0010) lr 5e-05 epoch [25/25][110/429] time 0.832 (0.833) data 0.000 (0.002) eta 0:04:25 loss_g -7.2224 (-9.3404) loss_f 0.0720 (0.0549) loss_d 0.0004 (0.0012) lr 5e-05 epoch [25/25][120/429] time 0.828 (0.833) data 0.000 (0.002) eta 0:04:17 loss_g -9.5795 (-9.3530) loss_f 0.0947 (0.0547) loss_d 0.0016 (0.0013) lr 5e-05 epoch [25/25][130/429] time 0.832 (0.832) data 0.000 (0.002) eta 0:04:08 loss_g -9.2552 (-9.3566) loss_f 0.0954 (0.0542) loss_d 0.0005 (0.0013) lr 5e-05 epoch [25/25][140/429] time 0.826 (0.832) data 0.000 (0.002) eta 0:04:00 loss_g -9.4875 (-9.3407) loss_f 0.0474 (0.0540) loss_d 0.0001 (0.0012) lr 5e-05 epoch [25/25][150/429] time 0.831 (0.832) data 0.000 (0.002) eta 0:03:52 loss_g -10.1848 (-9.3322) loss_f 0.1900 (0.0553) loss_d 0.0010 (0.0012) lr 5e-05 epoch [25/25][160/429] time 0.828 (0.832) data 0.000 (0.002) eta 0:03:43 loss_g -7.1093 (-9.3088) loss_f 0.0180 (0.0546) loss_d 0.0002 (0.0014) lr 5e-05 epoch [25/25][170/429] time 0.831 (0.832) data 0.000 (0.002) eta 0:03:35 loss_g -10.4017 (-9.3301) loss_f 0.3416 (0.0560) loss_d 0.0004 (0.0015) lr 5e-05 epoch [25/25][180/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:03:27 loss_g -9.7696 (-9.3607) loss_f 0.0397 (0.0561) loss_d 0.0003 (0.0015) lr 5e-05 epoch [25/25][190/429] time 0.833 (0.832) data 0.000 (0.001) eta 0:03:18 loss_g -10.0359 (-9.3605) loss_f 0.0764 (0.0559) loss_d 0.0052 (0.0016) lr 5e-05 epoch [25/25][200/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:03:10 loss_g -7.9454 (-9.3664) loss_f 0.1713 (0.0566) loss_d 0.0001 (0.0016) lr 5e-05 epoch [25/25][210/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:03:02 loss_g -9.8097 (-9.3905) loss_f 0.0373 (0.0568) loss_d 0.0014 (0.0018) lr 5e-05 epoch [25/25][220/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:02:53 loss_g -9.2252 (-9.3912) loss_f 0.0042 (0.0568) loss_d 0.0001 (0.0017) lr 5e-05 epoch [25/25][230/429] time 0.829 (0.832) data 0.000 (0.001) eta 0:02:45 loss_g -8.0837 (-9.3747) loss_f 0.0206 (0.0584) loss_d 0.0007 (0.0019) lr 5e-05 epoch [25/25][240/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:02:37 loss_g -10.0448 (-9.4034) loss_f 0.0615 (0.0578) loss_d 0.0002 (0.0018) lr 5e-05 epoch [25/25][250/429] time 0.832 (0.832) data 0.000 (0.001) eta 0:02:28 loss_g -9.7959 (-9.4177) loss_f 0.0900 (0.0580) loss_d 0.0005 (0.0018) lr 5e-05 epoch [25/25][260/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:02:20 loss_g -10.5728 (-9.4493) loss_f 0.1069 (0.0580) loss_d 0.0010 (0.0018) lr 5e-05 epoch [25/25][270/429] time 0.831 (0.832) data 0.000 (0.001) eta 0:02:12 loss_g -9.9731 (-9.4712) loss_f 0.0465 (0.0573) loss_d 0.0001 (0.0017) lr 5e-05 epoch [25/25][280/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:02:03 loss_g -8.4468 (-9.4788) loss_f 0.0033 (0.0569) loss_d 0.0005 (0.0017) lr 5e-05 epoch [25/25][290/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:01:55 loss_g -8.8300 (-9.4817) loss_f 0.0749 (0.0579) loss_d 0.0002 (0.0017) lr 5e-05 epoch [25/25][300/429] time 0.829 (0.831) data 0.000 (0.001) eta 0:01:47 loss_g -8.1360 (-9.4917) loss_f 0.0151 (0.0577) loss_d 0.0011 (0.0017) lr 5e-05 epoch [25/25][310/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:01:38 loss_g -9.0324 (-9.4898) loss_f 0.0255 (0.0573) loss_d 0.0004 (0.0017) lr 5e-05 epoch [25/25][320/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:01:30 loss_g -10.7344 (-9.5075) loss_f 0.0037 (0.0566) loss_d 0.0004 (0.0018) lr 5e-05 epoch [25/25][330/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:01:22 loss_g -8.7785 (-9.4701) loss_f 0.0347 (0.0564) loss_d 0.0010 (0.0018) lr 5e-05 epoch [25/25][340/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:01:13 loss_g -10.7999 (-9.4743) loss_f 0.0063 (0.0559) loss_d 0.0056 (0.0018) lr 5e-05 epoch [25/25][350/429] time 0.828 (0.831) data 0.000 (0.001) eta 0:01:05 loss_g -10.2450 (-9.4827) loss_f 0.0148 (0.0558) loss_d 0.0011 (0.0017) lr 5e-05 epoch [25/25][360/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:00:57 loss_g -8.6021 (-9.4705) loss_f 0.0363 (0.0562) loss_d 0.0014 (0.0018) lr 5e-05 epoch [25/25][370/429] time 0.831 (0.831) data 0.000 (0.001) eta 0:00:49 loss_g -9.6178 (-9.4808) loss_f 0.0591 (0.0559) loss_d 0.0005 (0.0019) lr 5e-05 epoch [25/25][380/429] time 0.832 (0.831) data 0.000 (0.001) eta 0:00:40 loss_g -9.3680 (-9.4722) loss_f 0.1265 (0.0554) loss_d 0.0001 (0.0025) lr 5e-05 epoch [25/25][390/429] time 0.825 (0.831) data 0.000 (0.001) eta 0:00:32 loss_g -10.8309 (-9.4728) loss_f 0.0698 (0.0552) loss_d 0.0001 (0.0025) lr 5e-05 epoch [25/25][400/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:00:24 loss_g -8.5190 (-9.4568) loss_f 0.2044 (0.0554) loss_d 0.0003 (0.0024) lr 5e-05 epoch [25/25][410/429] time 0.833 (0.831) data 0.000 (0.001) eta 0:00:15 loss_g -11.0566 (-9.4660) loss_f 0.0117 (0.0546) loss_d 0.0001 (0.0024) lr 5e-05 epoch [25/25][420/429] time 0.826 (0.831) data 0.000 (0.001) eta 0:00:07 loss_g -9.8167 (-9.4623) loss_f 0.0317 (0.0557) loss_d 0.0007 (0.0024) lr 5e-05 Finished training Do evaluation on test set => result * total: 2,344 * correct: 1,778 * accuracy: 75.85% * error: 24.15% Checkpoint saved to "output/PACS_resnet18_cartoon_r0/F/model.pth.tar-25" Checkpoint saved to "output/PACS_resnet18_cartoon_r0/D/model.pth.tar-25" Checkpoint saved to "output/PACS_resnet18_cartoon_r0/G/model.pth.tar-25" Elapsed: 2:29:05