*************** ** 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', '0.1'] output_dir: output/PACS_resnet18_art_painting_r0 resume: root: /home/francesco/datasets seed: -1 source_domains: None target_domains: ['art_painting'] 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: ['cartoon', 'photo', 'sketch'] STL10_FOLD: -1 TARGET_DOMAINS: ['art_painting'] 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_art_painting_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: 0.1 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: ['cartoon', 'photo', 'sketch'] Target domains: ['art_painting'] # classes: 7 # train_x: 7,136 # val: 806 # test: 2,048 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_art_painting_r0 epoch [1/25][10/446] time 0.729 (0.898) data 0.000 (0.021) eta 2:46:39 loss_g 1.0442 (0.9591) loss_f 1.8443 (1.9855) loss_d 0.7853 (1.0249) lr 0.0005 epoch [1/25][20/446] time 0.727 (0.813) data 0.000 (0.011) eta 2:30:47 loss_g 1.4257 (1.0873) loss_f 1.8496 (1.9146) loss_d 0.4053 (0.8202) lr 0.0005 epoch [1/25][30/446] time 0.729 (0.784) data 0.000 (0.007) eta 2:25:23 loss_g 1.2180 (1.1442) loss_f 1.5968 (1.8107) loss_d 0.3612 (0.6607) lr 0.0005 epoch [1/25][40/446] time 0.729 (0.771) data 0.000 (0.005) eta 2:22:44 loss_g 1.2553 (1.1533) loss_f 1.4463 (1.7198) loss_d 0.1652 (0.5552) lr 0.0005 epoch [1/25][50/446] time 0.729 (0.763) data 0.000 (0.004) eta 2:21:05 loss_g 1.0896 (1.1347) loss_f 1.4057 (1.6345) loss_d 0.2548 (0.4826) lr 0.0005 epoch [1/25][60/446] time 0.733 (0.758) data 0.000 (0.004) eta 2:20:03 loss_g 0.6812 (1.0835) loss_f 0.9280 (1.5410) loss_d 0.1963 (0.4432) lr 0.0005 epoch [1/25][70/446] time 0.730 (0.754) data 0.000 (0.003) eta 2:19:16 loss_g 0.9857 (1.0690) loss_f 1.0463 (1.4820) loss_d 0.0648 (0.4025) lr 0.0005 epoch [1/25][80/446] time 0.732 (0.751) data 0.000 (0.003) eta 2:18:38 loss_g 0.8032 (1.0530) loss_f 0.9206 (1.4284) loss_d 0.1350 (0.3653) lr 0.0005 epoch [1/25][90/446] time 0.731 (0.749) data 0.000 (0.002) eta 2:18:08 loss_g 0.5795 (1.0228) loss_f 0.8772 (1.3748) loss_d 0.3000 (0.3414) lr 0.0005 epoch [1/25][100/446] time 0.741 (0.748) data 0.000 (0.002) eta 2:17:48 loss_g 0.9804 (0.9966) loss_f 1.1730 (1.3244) loss_d 0.1529 (0.3160) lr 0.0005 epoch [1/25][110/446] time 0.755 (0.748) data 0.000 (0.002) eta 2:17:42 loss_g 0.6633 (0.9688) loss_f 0.8366 (1.2849) loss_d 0.1756 (0.3039) lr 0.0005 epoch [1/25][120/446] time 0.748 (0.749) data 0.000 (0.002) eta 2:17:43 loss_g 0.4999 (0.9458) loss_f 0.5241 (1.2401) loss_d 0.0317 (0.2841) lr 0.0005 epoch [1/25][130/446] time 0.762 (0.750) data 0.000 (0.002) eta 2:17:48 loss_g 0.7228 (0.9203) loss_f 0.8491 (1.2017) loss_d 0.0772 (0.2713) lr 0.0005 epoch [1/25][140/446] time 0.768 (0.751) data 0.000 (0.002) eta 2:17:53 loss_g 0.6939 (0.8964) loss_f 0.7100 (1.1657) loss_d 0.0412 (0.2583) lr 0.0005 epoch [1/25][150/446] time 0.763 (0.752) data 0.000 (0.001) eta 2:17:56 loss_g 0.6329 (0.8754) loss_f 0.6228 (1.1340) loss_d 0.0129 (0.2474) lr 0.0005 epoch [1/25][160/446] time 0.769 (0.754) data 0.000 (0.001) eta 2:18:01 loss_g 0.4487 (0.8559) loss_f 0.5390 (1.1016) loss_d 0.0486 (0.2357) lr 0.0005 epoch [1/25][170/446] time 0.771 (0.755) data 0.000 (0.001) eta 2:18:05 loss_g 0.3471 (0.8296) loss_f 0.4506 (1.0667) loss_d 0.1382 (0.2271) lr 0.0005 epoch [1/25][180/446] time 0.775 (0.756) data 0.000 (0.001) eta 2:18:09 loss_g 0.6492 (0.8145) loss_f 0.6630 (1.0422) loss_d 0.0103 (0.2172) lr 0.0005 epoch [1/25][190/446] time 0.780 (0.757) data 0.000 (0.001) eta 2:18:15 loss_g 0.5992 (0.7990) loss_f 0.6661 (1.0185) loss_d 0.0275 (0.2096) lr 0.0005 epoch [1/25][200/446] time 0.781 (0.758) data 0.000 (0.001) eta 2:18:19 loss_g 0.5572 (0.7825) loss_f 0.6247 (0.9956) loss_d 0.0969 (0.2026) lr 0.0005 epoch [1/25][210/446] time 0.776 (0.759) data 0.000 (0.001) eta 2:18:22 loss_g 0.7252 (0.7654) loss_f 0.7271 (0.9729) loss_d 0.0275 (0.1970) lr 0.0005 epoch [1/25][220/446] time 0.777 (0.760) data 0.000 (0.001) eta 2:18:23 loss_g 0.4280 (0.7501) loss_f 0.4704 (0.9514) loss_d 0.0223 (0.1911) lr 0.0005 epoch [1/25][230/446] time 0.780 (0.760) data 0.000 (0.001) eta 2:18:23 loss_g 0.3359 (0.7352) loss_f 0.3718 (0.9315) loss_d 0.0425 (0.1860) lr 0.0005 epoch [1/25][240/446] time 0.781 (0.761) data 0.000 (0.001) eta 2:18:25 loss_g 0.4807 (0.7227) loss_f 0.5751 (0.9130) loss_d 0.0801 (0.1804) lr 0.0005 epoch [1/25][250/446] time 0.780 (0.762) data 0.000 (0.001) eta 2:18:25 loss_g 0.4355 (0.7097) loss_f 0.4969 (0.8964) loss_d 0.0569 (0.1774) lr 0.0005 epoch [1/25][260/446] time 0.780 (0.763) data 0.000 (0.001) eta 2:18:25 loss_g 0.1370 (0.7012) loss_f 0.2457 (0.8856) loss_d 0.0816 (0.1748) lr 0.0005 epoch [1/25][270/446] time 0.780 (0.763) data 0.000 (0.001) eta 2:18:24 loss_g 0.3599 (0.6893) loss_f 0.4015 (0.8700) loss_d 0.0239 (0.1702) lr 0.0005 epoch [1/25][280/446] time 0.777 (0.764) data 0.000 (0.001) eta 2:18:22 loss_g 0.2017 (0.6804) loss_f 0.2841 (0.8582) loss_d 0.0423 (0.1671) lr 0.0005 epoch [1/25][290/446] time 0.780 (0.764) data 0.000 (0.001) eta 2:18:20 loss_g 0.2580 (0.6679) loss_f 0.2933 (0.8420) loss_d 0.0101 (0.1635) lr 0.0005 epoch [1/25][300/446] time 0.775 (0.765) data 0.000 (0.001) eta 2:18:18 loss_g 0.1982 (0.6581) loss_f 0.2580 (0.8286) loss_d 0.0315 (0.1600) lr 0.0005 epoch [1/25][310/446] time 0.777 (0.765) data 0.000 (0.001) eta 2:18:15 loss_g 0.3848 (0.6471) loss_f 0.4442 (0.8149) loss_d 0.0276 (0.1568) lr 0.0005 epoch [1/25][320/446] time 0.780 (0.766) data 0.000 (0.001) eta 2:18:12 loss_g 0.3320 (0.6363) loss_f 0.4068 (0.8011) loss_d 0.0558 (0.1542) lr 0.0005 epoch [1/25][330/446] time 0.779 (0.766) data 0.000 (0.001) eta 2:18:09 loss_g 0.2816 (0.6301) loss_f 0.2563 (0.7905) loss_d 0.0104 (0.1504) lr 0.0005 epoch [1/25][340/446] time 0.780 (0.767) data 0.000 (0.001) eta 2:18:06 loss_g 0.5165 (0.6258) loss_f 0.6244 (0.7826) loss_d 0.0667 (0.1467) lr 0.0005 epoch [1/25][350/446] time 0.782 (0.767) data 0.000 (0.001) eta 2:18:02 loss_g 0.3636 (0.6179) loss_f 0.4390 (0.7729) loss_d 0.0662 (0.1449) lr 0.0005 epoch [1/25][360/446] time 0.781 (0.767) data 0.000 (0.001) eta 2:17:58 loss_g 0.4456 (0.6092) loss_f 0.4539 (0.7616) loss_d 0.0138 (0.1421) lr 0.0005 epoch [1/25][370/446] time 0.781 (0.768) data 0.000 (0.001) eta 2:17:54 loss_g 0.0935 (0.6012) loss_f 0.0972 (0.7512) loss_d 0.0043 (0.1400) lr 0.0005 epoch [1/25][380/446] time 0.781 (0.768) data 0.000 (0.001) eta 2:17:50 loss_g 0.3828 (0.5945) loss_f 0.4114 (0.7429) loss_d 0.0232 (0.1382) lr 0.0005 epoch [1/25][390/446] time 0.781 (0.768) data 0.000 (0.001) eta 2:17:46 loss_g 0.1881 (0.5887) loss_f 0.2272 (0.7347) loss_d 0.0281 (0.1366) lr 0.0005 epoch [1/25][400/446] time 0.781 (0.769) data 0.000 (0.001) eta 2:17:41 loss_g 0.2078 (0.5818) loss_f 0.2273 (0.7263) loss_d 0.0108 (0.1354) lr 0.0005 epoch [1/25][410/446] time 0.778 (0.769) data 0.000 (0.001) eta 2:17:36 loss_g 0.0523 (0.5739) loss_f 0.2947 (0.7170) loss_d 0.1825 (0.1343) lr 0.0005 epoch [1/25][420/446] time 0.779 (0.769) data 0.000 (0.001) eta 2:17:31 loss_g 0.2348 (0.5691) loss_f 0.3771 (0.7103) loss_d 0.0605 (0.1324) lr 0.0005 epoch [1/25][430/446] time 0.782 (0.769) data 0.000 (0.001) eta 2:17:26 loss_g 0.2097 (0.5624) loss_f 0.2452 (0.7018) loss_d 0.0083 (0.1307) lr 0.0005 epoch [1/25][440/446] time 0.779 (0.770) data 0.000 (0.001) eta 2:17:21 loss_g 0.4489 (0.5560) loss_f 0.4725 (0.6934) loss_d 0.0175 (0.1286) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,379 * accuracy: 67.33% * error: 32.67% epoch [2/25][10/446] time 0.781 (0.805) data 0.000 (0.025) eta 2:23:25 loss_g -0.1205 (0.2557) loss_f 0.3405 (0.3534) loss_d 0.3803 (0.0769) lr 0.0005 epoch [2/25][20/446] time 0.781 (0.793) data 0.000 (0.013) eta 2:21:09 loss_g 0.1332 (0.2382) loss_f 0.2157 (0.3122) loss_d 0.1040 (0.0560) lr 0.0005 epoch [2/25][30/446] time 0.782 (0.789) data 0.000 (0.008) eta 2:20:19 loss_g -0.0685 (0.2206) loss_f 0.0846 (0.3073) loss_d 0.2081 (0.0730) lr 0.0005 epoch [2/25][40/446] time 0.781 (0.787) data 0.000 (0.006) eta 2:19:48 loss_g 0.2667 (0.2454) loss_f 0.2995 (0.3216) loss_d 0.0401 (0.0636) lr 0.0005 epoch [2/25][50/446] time 0.777 (0.785) data 0.000 (0.005) eta 2:19:26 loss_g 0.6172 (0.2567) loss_f 0.6637 (0.3230) loss_d 0.0296 (0.0551) lr 0.0005 epoch [2/25][60/446] time 0.781 (0.784) data 0.000 (0.004) eta 2:19:09 loss_g 0.2708 (0.2566) loss_f 0.3252 (0.3198) loss_d 0.0164 (0.0524) lr 0.0005 epoch [2/25][70/446] time 0.779 (0.784) data 0.000 (0.004) eta 2:18:55 loss_g 0.4794 (0.2559) loss_f 0.5996 (0.3233) loss_d 0.1353 (0.0541) lr 0.0005 epoch [2/25][80/446] time 0.781 (0.783) data 0.000 (0.003) eta 2:18:43 loss_g 0.1444 (0.2505) loss_f 0.1427 (0.3119) loss_d 0.0246 (0.0516) lr 0.0005 epoch [2/25][90/446] time 0.781 (0.783) data 0.000 (0.003) eta 2:18:31 loss_g 0.2679 (0.2487) loss_f 0.4325 (0.3111) loss_d 0.1912 (0.0525) lr 0.0005 epoch [2/25][100/446] time 0.780 (0.783) data 0.000 (0.003) eta 2:18:21 loss_g 0.0991 (0.2474) loss_f 0.2929 (0.3119) loss_d 0.0743 (0.0533) lr 0.0005 epoch [2/25][110/446] time 0.782 (0.783) data 0.000 (0.002) eta 2:18:10 loss_g 0.1188 (0.2413) loss_f 0.0930 (0.3066) loss_d 0.0027 (0.0529) lr 0.0005 epoch [2/25][120/446] time 0.781 (0.782) data 0.000 (0.002) eta 2:18:01 loss_g 0.1896 (0.2370) loss_f 0.2090 (0.3019) loss_d 0.0232 (0.0516) lr 0.0005 epoch [2/25][130/446] time 0.780 (0.782) data 0.000 (0.002) eta 2:17:51 loss_g 0.1582 (0.2277) loss_f 0.3294 (0.2980) loss_d 0.0178 (0.0564) lr 0.0005 epoch [2/25][140/446] time 0.781 (0.782) data 0.000 (0.002) eta 2:17:42 loss_g 0.3963 (0.2295) loss_f 0.4283 (0.2974) loss_d 0.0074 (0.0543) lr 0.0005 epoch [2/25][150/446] time 0.781 (0.782) data 0.000 (0.002) eta 2:17:33 loss_g 0.1077 (0.2297) loss_f 0.1793 (0.2971) loss_d 0.0233 (0.0538) lr 0.0005 epoch [2/25][160/446] time 0.781 (0.782) data 0.000 (0.002) eta 2:17:24 loss_g 0.0873 (0.2266) loss_f 0.1956 (0.2939) loss_d 0.0817 (0.0531) lr 0.0005 epoch [2/25][170/446] time 0.781 (0.782) data 0.000 (0.002) eta 2:17:15 loss_g 0.4328 (0.2282) loss_f 0.4735 (0.2937) loss_d 0.0112 (0.0518) lr 0.0005 epoch [2/25][180/446] time 0.780 (0.782) data 0.000 (0.001) eta 2:17:06 loss_g 0.6843 (0.2355) loss_f 0.5750 (0.3000) loss_d 0.0048 (0.0508) lr 0.0005 epoch [2/25][190/446] time 0.781 (0.782) data 0.000 (0.001) eta 2:16:58 loss_g 0.3908 (0.2318) loss_f 0.3814 (0.2971) loss_d 0.0140 (0.0512) lr 0.0005 epoch [2/25][200/446] time 0.781 (0.782) data 0.000 (0.001) eta 2:16:49 loss_g 0.2293 (0.2332) loss_f 0.2680 (0.2990) loss_d 0.0048 (0.0515) lr 0.0005 epoch [2/25][210/446] time 0.780 (0.782) data 0.000 (0.001) eta 2:16:41 loss_g 0.2888 (0.2331) loss_f 0.3655 (0.2976) loss_d 0.0203 (0.0499) lr 0.0005 epoch [2/25][220/446] time 0.782 (0.781) data 0.000 (0.001) eta 2:16:33 loss_g 0.2447 (0.2301) loss_f 0.2778 (0.2947) loss_d 0.0162 (0.0501) lr 0.0005 epoch [2/25][230/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:16:24 loss_g 0.3599 (0.2303) loss_f 0.3567 (0.2935) loss_d 0.0148 (0.0496) lr 0.0005 epoch [2/25][240/446] time 0.776 (0.781) data 0.000 (0.001) eta 2:16:16 loss_g 0.3372 (0.2301) loss_f 0.4383 (0.2945) loss_d 0.0081 (0.0504) lr 0.0005 epoch [2/25][250/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:16:08 loss_g 0.0531 (0.2275) loss_f 0.2425 (0.2923) loss_d 0.1798 (0.0503) lr 0.0005 epoch [2/25][260/446] time 0.778 (0.781) data 0.000 (0.001) eta 2:15:59 loss_g 0.3337 (0.2258) loss_f 0.4818 (0.2910) loss_d 0.0467 (0.0496) lr 0.0005 epoch [2/25][270/446] time 0.779 (0.781) data 0.000 (0.001) eta 2:15:51 loss_g 0.5447 (0.2285) loss_f 0.6308 (0.2938) loss_d 0.0288 (0.0500) lr 0.0005 epoch [2/25][280/446] time 0.781 (0.781) data 0.000 (0.001) eta 2:15:43 loss_g 0.1540 (0.2279) loss_f 0.1811 (0.2939) loss_d 0.0518 (0.0498) lr 0.0005 epoch [2/25][290/446] time 0.781 (0.781) data 0.000 (0.001) eta 2:15:34 loss_g 0.2023 (0.2269) loss_f 0.2146 (0.2916) loss_d 0.0149 (0.0489) lr 0.0005 epoch [2/25][300/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:15:26 loss_g -0.2621 (0.2225) loss_f 0.2442 (0.2907) loss_d 0.3324 (0.0490) lr 0.0005 epoch [2/25][310/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:15:18 loss_g -0.0242 (0.2200) loss_f 0.1258 (0.2906) loss_d 0.0151 (0.0496) lr 0.0005 epoch [2/25][320/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:15:10 loss_g 0.1695 (0.2161) loss_f 0.1867 (0.2880) loss_d 0.0245 (0.0487) lr 0.0005 epoch [2/25][330/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:15:01 loss_g 0.3097 (0.2172) loss_f 0.3396 (0.2880) loss_d 0.0021 (0.0483) lr 0.0005 epoch [2/25][340/446] time 0.779 (0.781) data 0.000 (0.001) eta 2:14:52 loss_g 0.3309 (0.2154) loss_f 0.4073 (0.2866) loss_d 0.0033 (0.0477) lr 0.0005 epoch [2/25][350/446] time 0.781 (0.781) data 0.000 (0.001) eta 2:14:44 loss_g 0.4778 (0.2174) loss_f 0.5052 (0.2881) loss_d 0.0313 (0.0471) lr 0.0005 epoch [2/25][360/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:14:35 loss_g -0.0039 (0.2184) loss_f 0.2306 (0.2888) loss_d 0.0134 (0.0461) lr 0.0005 epoch [2/25][370/446] time 0.773 (0.781) data 0.000 (0.001) eta 2:14:27 loss_g 0.0814 (0.2164) loss_f 0.2605 (0.2870) loss_d 0.0247 (0.0457) lr 0.0005 epoch [2/25][380/446] time 0.781 (0.781) data 0.000 (0.001) eta 2:14:19 loss_g 0.4293 (0.2147) loss_f 0.4312 (0.2854) loss_d 0.0050 (0.0447) lr 0.0005 epoch [2/25][390/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:14:11 loss_g 0.0297 (0.2111) loss_f 0.0882 (0.2828) loss_d 0.0245 (0.0446) lr 0.0005 epoch [2/25][400/446] time 0.779 (0.781) data 0.000 (0.001) eta 2:14:03 loss_g 0.1072 (0.2088) loss_f 0.4679 (0.2813) loss_d 0.3552 (0.0459) lr 0.0005 epoch [2/25][410/446] time 0.778 (0.781) data 0.000 (0.001) eta 2:13:55 loss_g 0.4703 (0.2086) loss_f 0.3842 (0.2808) loss_d 0.0027 (0.0456) lr 0.0005 epoch [2/25][420/446] time 0.779 (0.781) data 0.000 (0.001) eta 2:13:47 loss_g 0.0501 (0.2079) loss_f 0.2066 (0.2812) loss_d 0.0195 (0.0456) lr 0.0005 epoch [2/25][430/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:13:39 loss_g 0.0603 (0.2052) loss_f 0.2566 (0.2802) loss_d 0.0107 (0.0455) lr 0.0005 epoch [2/25][440/446] time 0.782 (0.781) data 0.000 (0.001) eta 2:13:31 loss_g 0.0745 (0.2019) loss_f 0.2099 (0.2784) loss_d 0.0021 (0.0448) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,418 * accuracy: 69.24% * error: 30.76% epoch [3/25][10/446] time 0.781 (0.798) data 0.000 (0.020) eta 2:16:19 loss_g 0.0845 (0.1161) loss_f 0.2783 (0.2152) loss_d 0.0077 (0.0257) lr 0.0005 epoch [3/25][20/446] time 0.780 (0.789) data 0.000 (0.010) eta 2:14:33 loss_g 0.1605 (0.1047) loss_f 0.1742 (0.2229) loss_d 0.0334 (0.0383) lr 0.0005 epoch [3/25][30/446] time 0.779 (0.785) data 0.000 (0.007) eta 2:13:52 loss_g 0.0005 (0.0686) loss_f 0.0734 (0.2102) loss_d 0.0072 (0.0391) lr 0.0005 epoch [3/25][40/446] time 0.781 (0.784) data 0.000 (0.005) eta 2:13:31 loss_g 0.3156 (0.0662) loss_f 0.3387 (0.2176) loss_d 0.1258 (0.0371) lr 0.0005 epoch [3/25][50/446] time 0.782 (0.784) data 0.000 (0.004) eta 2:13:18 loss_g -0.1252 (0.0495) loss_f 0.1952 (0.2068) loss_d 0.0458 (0.0389) lr 0.0005 epoch [3/25][60/446] time 0.781 (0.783) data 0.000 (0.003) eta 2:13:05 loss_g 0.0705 (0.0467) loss_f 0.3062 (0.2105) loss_d 0.0230 (0.0413) lr 0.0005 epoch [3/25][70/446] time 0.781 (0.783) data 0.000 (0.003) eta 2:12:52 loss_g 0.0301 (0.0256) loss_f 0.1436 (0.2029) loss_d 0.0211 (0.0370) lr 0.0005 epoch [3/25][80/446] time 0.777 (0.782) data 0.000 (0.003) eta 2:12:42 loss_g -0.2035 (0.0250) loss_f 0.2820 (0.2075) loss_d 0.0077 (0.0335) lr 0.0005 epoch [3/25][90/446] time 0.782 (0.782) data 0.000 (0.002) eta 2:12:33 loss_g 0.0600 (0.0304) loss_f 0.1135 (0.2076) loss_d 0.0095 (0.0320) lr 0.0005 epoch [3/25][100/446] time 0.778 (0.782) data 0.000 (0.002) eta 2:12:22 loss_g 0.2890 (0.0360) loss_f 0.5093 (0.2127) loss_d 0.1237 (0.0319) lr 0.0005 epoch [3/25][110/446] time 0.781 (0.782) data 0.000 (0.002) eta 2:12:10 loss_g 0.2046 (0.0362) loss_f 0.1548 (0.2138) loss_d 0.0079 (0.0331) lr 0.0005 epoch [3/25][120/446] time 0.777 (0.781) data 0.000 (0.002) eta 2:12:00 loss_g 0.0017 (0.0444) loss_f 0.0484 (0.2086) loss_d 0.0291 (0.0316) lr 0.0005 epoch [3/25][130/446] time 0.781 (0.781) data 0.000 (0.002) eta 2:11:52 loss_g 0.0053 (0.0560) loss_f 0.0886 (0.2111) loss_d 0.0473 (0.0308) lr 0.0005 epoch [3/25][140/446] time 0.782 (0.781) data 0.000 (0.002) eta 2:11:43 loss_g 0.1494 (0.0578) loss_f 0.1725 (0.2090) loss_d 0.0030 (0.0319) lr 0.0005 epoch [3/25][150/446] time 0.779 (0.781) data 0.000 (0.001) eta 2:11:34 loss_g 0.2727 (0.0643) loss_f 0.2971 (0.2071) loss_d 0.0188 (0.0303) lr 0.0005 epoch [3/25][160/446] time 0.782 (0.781) data 0.000 (0.001) eta 2:11:25 loss_g 0.1917 (0.0669) loss_f 0.1222 (0.2037) loss_d 0.0168 (0.0307) lr 0.0005 epoch [3/25][170/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:11:17 loss_g 0.0195 (0.0625) loss_f 0.1330 (0.2012) loss_d 0.0182 (0.0299) lr 0.0005 epoch [3/25][180/446] time 0.781 (0.781) data 0.000 (0.001) eta 2:11:08 loss_g -0.0441 (0.0639) loss_f 0.0898 (0.2038) loss_d 0.0166 (0.0305) lr 0.0005 epoch [3/25][190/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:11:00 loss_g 0.1138 (0.0649) loss_f 0.7312 (0.2078) loss_d 0.0153 (0.0300) lr 0.0005 epoch [3/25][200/446] time 0.782 (0.781) data 0.000 (0.001) eta 2:10:52 loss_g 0.2519 (0.0610) loss_f 0.1747 (0.2070) loss_d 0.0042 (0.0300) lr 0.0005 epoch [3/25][210/446] time 0.781 (0.781) data 0.000 (0.001) eta 2:10:44 loss_g 0.4047 (0.0636) loss_f 0.3733 (0.2089) loss_d 0.0040 (0.0305) lr 0.0005 epoch [3/25][220/446] time 0.778 (0.781) data 0.000 (0.001) eta 2:10:36 loss_g 0.1496 (0.0664) loss_f 0.1186 (0.2064) loss_d 0.0025 (0.0300) lr 0.0005 epoch [3/25][230/446] time 0.782 (0.781) data 0.000 (0.001) eta 2:10:27 loss_g -0.2243 (0.0659) loss_f 0.0719 (0.2050) loss_d 0.0304 (0.0303) lr 0.0005 epoch [3/25][240/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:10:20 loss_g 0.1819 (0.0653) loss_f 0.1418 (0.2056) loss_d 0.0058 (0.0302) lr 0.0005 epoch [3/25][250/446] time 0.780 (0.781) data 0.000 (0.001) eta 2:10:11 loss_g -0.2075 (0.0601) loss_f 0.0249 (0.2066) loss_d 0.1970 (0.0311) lr 0.0005 epoch [3/25][260/446] time 0.782 (0.781) data 0.000 (0.001) eta 2:10:04 loss_g -0.3450 (0.0492) loss_f 0.2343 (0.2083) loss_d 0.0102 (0.0303) lr 0.0005 epoch [3/25][270/446] time 0.782 (0.781) data 0.000 (0.001) eta 2:09:56 loss_g 0.0521 (0.0471) loss_f 0.1452 (0.2076) loss_d 0.0094 (0.0299) lr 0.0005 epoch [3/25][280/446] time 0.777 (0.781) data 0.000 (0.001) eta 2:09:48 loss_g 0.1348 (0.0439) loss_f 0.0984 (0.2077) loss_d 0.0050 (0.0291) lr 0.0005 epoch [3/25][290/446] time 0.780 (0.780) data 0.000 (0.001) eta 2:09:40 loss_g 0.1704 (0.0453) loss_f 0.2020 (0.2069) loss_d 0.0026 (0.0288) lr 0.0005 epoch [3/25][300/446] time 0.780 (0.780) data 0.000 (0.001) eta 2:09:32 loss_g -0.3690 (0.0412) loss_f 0.2570 (0.2061) loss_d 0.0195 (0.0285) lr 0.0005 epoch [3/25][310/446] time 0.781 (0.780) data 0.000 (0.001) eta 2:09:24 loss_g -0.0613 (0.0389) loss_f 0.1040 (0.2039) loss_d 0.0165 (0.0283) lr 0.0005 epoch [3/25][320/446] time 0.781 (0.780) data 0.000 (0.001) eta 2:09:16 loss_g -0.3501 (0.0338) loss_f 0.2059 (0.2042) loss_d 0.1061 (0.0280) lr 0.0005 epoch [3/25][330/446] time 0.780 (0.780) data 0.000 (0.001) eta 2:09:07 loss_g -0.3121 (0.0258) loss_f 0.1361 (0.2029) loss_d 0.0040 (0.0275) lr 0.0005 epoch [3/25][340/446] time 0.780 (0.780) data 0.000 (0.001) eta 2:08:59 loss_g -0.6058 (0.0192) loss_f 0.1469 (0.2031) loss_d 0.0019 (0.0271) lr 0.0005 epoch [3/25][350/446] time 0.780 (0.780) data 0.000 (0.001) eta 2:08:51 loss_g -0.3379 (0.0031) loss_f 0.0669 (0.2013) loss_d 0.1311 (0.0272) lr 0.0005 epoch [3/25][360/446] time 0.781 (0.780) data 0.000 (0.001) eta 2:08:43 loss_g 0.1341 (-0.0036) loss_f 0.3150 (0.2008) loss_d 0.0250 (0.0273) lr 0.0005 epoch [3/25][370/446] time 0.780 (0.780) data 0.000 (0.001) eta 2:08:36 loss_g -0.3648 (-0.0090) loss_f 0.3034 (0.2003) loss_d 0.0064 (0.0270) lr 0.0005 epoch [3/25][380/446] time 0.782 (0.780) data 0.000 (0.001) eta 2:08:28 loss_g -0.3401 (-0.0113) loss_f 0.0528 (0.1996) loss_d 0.0012 (0.0268) lr 0.0005 epoch [3/25][390/446] time 0.781 (0.780) data 0.000 (0.001) eta 2:08:20 loss_g -0.0837 (-0.0171) loss_f 0.0953 (0.1983) loss_d 0.1080 (0.0266) lr 0.0005 epoch [3/25][400/446] time 0.777 (0.780) data 0.000 (0.001) eta 2:08:11 loss_g -0.0338 (-0.0222) loss_f 0.3075 (0.1967) loss_d 0.0029 (0.0268) lr 0.0005 epoch [3/25][410/446] time 0.781 (0.780) data 0.000 (0.001) eta 2:08:03 loss_g -0.0791 (-0.0251) loss_f 0.1386 (0.1968) loss_d 0.0067 (0.0269) lr 0.0005 epoch [3/25][420/446] time 0.777 (0.780) data 0.000 (0.001) eta 2:07:56 loss_g -1.0882 (-0.0338) loss_f 0.1434 (0.1963) loss_d 0.0181 (0.0277) lr 0.0005 epoch [3/25][430/446] time 0.779 (0.780) data 0.000 (0.001) eta 2:07:48 loss_g 0.0868 (-0.0375) loss_f 0.2366 (0.1962) loss_d 0.0024 (0.0274) lr 0.0005 epoch [3/25][440/446] time 0.779 (0.780) data 0.000 (0.001) eta 2:07:40 loss_g 0.0099 (-0.0403) loss_f 0.0892 (0.1966) loss_d 0.0153 (0.0278) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,553 * accuracy: 75.83% * error: 24.17% epoch [4/25][10/446] time 0.831 (0.854) data 0.000 (0.024) eta 2:19:26 loss_g -0.1468 (-0.3121) loss_f 0.0753 (0.1864) loss_d 0.0050 (0.0190) lr 0.0005 epoch [4/25][20/446] time 0.830 (0.842) data 0.000 (0.012) eta 2:17:21 loss_g -0.0715 (-0.3463) loss_f 0.1253 (0.1680) loss_d 0.0059 (0.0242) lr 0.0005 epoch [4/25][30/446] time 0.830 (0.838) data 0.000 (0.008) eta 2:16:35 loss_g -0.1541 (-0.3659) loss_f 0.0456 (0.1769) loss_d 0.0072 (0.0213) lr 0.0005 epoch [4/25][40/446] time 0.832 (0.836) data 0.000 (0.006) eta 2:16:08 loss_g 0.1627 (-0.3562) loss_f 0.2834 (0.1804) loss_d 0.0082 (0.0225) lr 0.0005 epoch [4/25][50/446] time 0.830 (0.835) data 0.000 (0.005) eta 2:15:46 loss_g -0.9727 (-0.4087) loss_f 0.0730 (0.1832) loss_d 0.0371 (0.0227) lr 0.0005 epoch [4/25][60/446] time 0.828 (0.834) data 0.000 (0.004) eta 2:15:31 loss_g -0.4410 (-0.4178) loss_f 0.1778 (0.2020) loss_d 0.0023 (0.0224) lr 0.0005 epoch [4/25][70/446] time 0.830 (0.833) data 0.000 (0.004) eta 2:15:16 loss_g -0.1601 (-0.4463) loss_f 0.3109 (0.1906) loss_d 0.0060 (0.0216) lr 0.0005 epoch [4/25][80/446] time 0.826 (0.833) data 0.000 (0.003) eta 2:15:02 loss_g -0.5489 (-0.4525) loss_f 0.1241 (0.1941) loss_d 0.0031 (0.0199) lr 0.0005 epoch [4/25][90/446] time 0.831 (0.832) data 0.000 (0.003) eta 2:14:50 loss_g -0.2828 (-0.4470) loss_f 0.2273 (0.1952) loss_d 0.0083 (0.0194) lr 0.0005 epoch [4/25][100/446] time 0.827 (0.832) data 0.000 (0.002) eta 2:14:39 loss_g -0.3484 (-0.4541) loss_f 0.4432 (0.1940) loss_d 0.0410 (0.0213) lr 0.0005 epoch [4/25][110/446] time 0.831 (0.832) data 0.000 (0.002) eta 2:14:29 loss_g -0.5749 (-0.4739) loss_f 0.4119 (0.1917) loss_d 0.0032 (0.0207) lr 0.0005 epoch [4/25][120/446] time 0.825 (0.832) data 0.000 (0.002) eta 2:14:19 loss_g -0.7580 (-0.5092) loss_f 0.2363 (0.1926) loss_d 0.0043 (0.0226) lr 0.0005 epoch [4/25][130/446] time 0.831 (0.831) data 0.000 (0.002) eta 2:14:10 loss_g 0.0303 (-0.5276) loss_f 0.6022 (0.1977) loss_d 0.0037 (0.0260) lr 0.0005 epoch [4/25][140/446] time 0.831 (0.831) data 0.000 (0.002) eta 2:14:01 loss_g -0.9241 (-0.5327) loss_f 0.1708 (0.1979) loss_d 0.0049 (0.0252) lr 0.0005 epoch [4/25][150/446] time 0.831 (0.831) data 0.000 (0.002) eta 2:13:50 loss_g -0.6032 (-0.5176) loss_f 0.1401 (0.1959) loss_d 0.0123 (0.0243) lr 0.0005 epoch [4/25][160/446] time 0.831 (0.831) data 0.000 (0.002) eta 2:13:41 loss_g -0.9064 (-0.5237) loss_f 0.1231 (0.1915) loss_d 0.3285 (0.0258) lr 0.0005 epoch [4/25][170/446] time 0.826 (0.831) data 0.000 (0.001) eta 2:13:31 loss_g 0.0605 (-0.5281) loss_f 0.4867 (0.1916) loss_d 0.0188 (0.0260) lr 0.0005 epoch [4/25][180/446] time 0.831 (0.831) data 0.000 (0.001) eta 2:13:22 loss_g 0.1796 (-0.5351) loss_f 0.1529 (0.1955) loss_d 0.0029 (0.0252) lr 0.0005 epoch [4/25][190/446] time 0.831 (0.831) data 0.000 (0.001) eta 2:13:12 loss_g 0.2224 (-0.5012) loss_f 0.5890 (0.1957) loss_d 0.3499 (0.0268) lr 0.0005 epoch [4/25][200/446] time 0.831 (0.831) data 0.000 (0.001) eta 2:13:04 loss_g 0.1065 (-0.4760) loss_f 0.1346 (0.1928) loss_d 0.0028 (0.0273) lr 0.0005 epoch [4/25][210/446] time 0.829 (0.831) data 0.000 (0.001) eta 2:12:55 loss_g -0.5835 (-0.4594) loss_f 0.0385 (0.1901) loss_d 0.0637 (0.0276) lr 0.0005 epoch [4/25][220/446] time 0.831 (0.831) data 0.000 (0.001) eta 2:12:47 loss_g -0.7564 (-0.4515) loss_f 0.1009 (0.1875) loss_d 0.0026 (0.0267) lr 0.0005 epoch [4/25][230/446] time 0.832 (0.831) data 0.000 (0.001) eta 2:12:38 loss_g -0.2845 (-0.4623) loss_f 0.1010 (0.1847) loss_d 0.0039 (0.0259) lr 0.0005 epoch [4/25][240/446] time 0.831 (0.831) data 0.000 (0.001) eta 2:12:30 loss_g -0.8822 (-0.4782) loss_f 0.0524 (0.1822) loss_d 0.0072 (0.0255) lr 0.0005 epoch [4/25][250/446] time 0.826 (0.831) data 0.000 (0.001) eta 2:12:21 loss_g -0.6153 (-0.4878) loss_f 0.1629 (0.1828) loss_d 0.0131 (0.0247) lr 0.0005 epoch [4/25][260/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:12:12 loss_g -1.2027 (-0.4923) loss_f 0.1133 (0.1861) loss_d 0.0114 (0.0246) lr 0.0005 epoch [4/25][270/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:12:04 loss_g -1.0456 (-0.5060) loss_f 0.1759 (0.1859) loss_d 0.0066 (0.0242) lr 0.0005 epoch [4/25][280/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:11:55 loss_g -0.6612 (-0.5125) loss_f 0.1001 (0.1843) loss_d 0.0108 (0.0238) lr 0.0005 epoch [4/25][290/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:11:47 loss_g -0.4188 (-0.5222) loss_f 0.1056 (0.1828) loss_d 0.0141 (0.0238) lr 0.0005 epoch [4/25][300/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:11:38 loss_g -0.5448 (-0.5325) loss_f 0.0378 (0.1813) loss_d 0.0060 (0.0234) lr 0.0005 epoch [4/25][310/446] time 0.828 (0.830) data 0.000 (0.001) eta 2:11:29 loss_g 0.1058 (-0.5104) loss_f 0.1104 (0.1811) loss_d 0.0049 (0.0231) lr 0.0005 epoch [4/25][320/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:11:21 loss_g 0.1313 (-0.4889) loss_f 0.1264 (0.1823) loss_d 0.0031 (0.0234) lr 0.0005 epoch [4/25][330/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:11:12 loss_g 0.2900 (-0.4698) loss_f 0.3326 (0.1824) loss_d 0.1101 (0.0239) lr 0.0005 epoch [4/25][340/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:11:03 loss_g 0.0729 (-0.4516) loss_f 0.0675 (0.1817) loss_d 0.0015 (0.0235) lr 0.0005 epoch [4/25][350/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:10:55 loss_g 0.0797 (-0.4365) loss_f 0.0822 (0.1791) loss_d 0.0024 (0.0230) lr 0.0005 epoch [4/25][360/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:10:47 loss_g 0.0834 (-0.4224) loss_f 0.1087 (0.1772) loss_d 0.0307 (0.0231) lr 0.0005 epoch [4/25][370/446] time 0.828 (0.830) data 0.000 (0.001) eta 2:10:39 loss_g -0.0062 (-0.4074) loss_f 0.0514 (0.1764) loss_d 0.0549 (0.0231) lr 0.0005 epoch [4/25][380/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:10:30 loss_g 0.0021 (-0.3942) loss_f 0.0519 (0.1751) loss_d 0.0033 (0.0231) lr 0.0005 epoch [4/25][390/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:10:22 loss_g 0.0852 (-0.3821) loss_f 0.1048 (0.1729) loss_d 0.0111 (0.0228) lr 0.0005 epoch [4/25][400/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:10:14 loss_g 0.0215 (-0.3685) loss_f 0.0819 (0.1732) loss_d 0.0048 (0.0223) lr 0.0005 epoch [4/25][410/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:10:05 loss_g -0.0651 (-0.3591) loss_f 0.0228 (0.1723) loss_d 0.0093 (0.0229) lr 0.0005 epoch [4/25][420/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:09:57 loss_g 0.2791 (-0.3491) loss_f 0.2693 (0.1718) loss_d 0.0010 (0.0228) lr 0.0005 epoch [4/25][430/446] time 0.826 (0.830) data 0.000 (0.001) eta 2:09:48 loss_g 0.2295 (-0.3403) loss_f 0.2577 (0.1713) loss_d 0.0014 (0.0229) lr 0.0005 epoch [4/25][440/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:09:40 loss_g -0.3050 (-0.3353) loss_f 0.1225 (0.1699) loss_d 0.0021 (0.0226) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,561 * accuracy: 76.22% * error: 23.78% epoch [5/25][10/446] time 0.831 (0.850) data 0.000 (0.020) eta 2:12:28 loss_g 0.0427 (-0.1465) loss_f 0.1033 (0.1023) loss_d 0.0048 (0.0035) lr 0.0005 epoch [5/25][20/446] time 0.827 (0.839) data 0.000 (0.010) eta 2:10:43 loss_g -0.1662 (-0.2982) loss_f 0.1811 (0.1228) loss_d 0.0124 (0.0067) lr 0.0005 epoch [5/25][30/446] time 0.831 (0.836) data 0.000 (0.007) eta 2:10:03 loss_g -1.2776 (-0.3531) loss_f 0.1647 (0.1630) loss_d 0.0012 (0.0249) lr 0.0005 epoch [5/25][40/446] time 0.831 (0.834) data 0.000 (0.005) eta 2:09:37 loss_g -0.8101 (-0.4058) loss_f 0.0150 (0.1653) loss_d 0.0064 (0.0252) lr 0.0005 epoch [5/25][50/446] time 0.830 (0.833) data 0.000 (0.004) eta 2:09:22 loss_g -0.5823 (-0.4750) loss_f 0.1590 (0.1539) loss_d 0.0065 (0.0253) lr 0.0005 epoch [5/25][60/446] time 0.824 (0.833) data 0.000 (0.003) eta 2:09:07 loss_g -0.7803 (-0.5482) loss_f 0.1789 (0.1564) loss_d 0.0135 (0.0225) lr 0.0005 epoch [5/25][70/446] time 0.831 (0.832) data 0.000 (0.003) eta 2:08:54 loss_g -0.8034 (-0.5572) loss_f 0.0964 (0.1519) loss_d 0.0021 (0.0219) lr 0.0005 epoch [5/25][80/446] time 0.828 (0.831) data 0.000 (0.003) eta 2:08:40 loss_g -0.1659 (-0.5949) loss_f 0.1852 (0.1479) loss_d 0.0017 (0.0202) lr 0.0005 epoch [5/25][90/446] time 0.831 (0.831) data 0.000 (0.002) eta 2:08:30 loss_g -0.5894 (-0.6181) loss_f 0.1760 (0.1501) loss_d 0.0013 (0.0191) lr 0.0005 epoch [5/25][100/446] time 0.827 (0.831) data 0.000 (0.002) eta 2:08:20 loss_g -1.6157 (-0.6501) loss_f 0.0475 (0.1477) loss_d 0.0991 (0.0188) lr 0.0005 epoch [5/25][110/446] time 0.831 (0.831) data 0.000 (0.002) eta 2:08:10 loss_g -0.5380 (-0.6949) loss_f 0.0689 (0.1429) loss_d 0.0026 (0.0179) lr 0.0005 epoch [5/25][120/446] time 0.830 (0.831) data 0.000 (0.002) eta 2:08:02 loss_g -0.5712 (-0.6925) loss_f 0.1232 (0.1536) loss_d 0.0050 (0.0183) lr 0.0005 epoch [5/25][130/446] time 0.831 (0.831) data 0.000 (0.002) eta 2:07:52 loss_g -1.0570 (-0.7272) loss_f 0.0258 (0.1510) loss_d 0.0012 (0.0183) lr 0.0005 epoch [5/25][140/446] time 0.828 (0.831) data 0.000 (0.002) eta 2:07:43 loss_g -0.9673 (-0.7410) loss_f 0.1113 (0.1521) loss_d 0.0015 (0.0172) lr 0.0005 epoch [5/25][150/446] time 0.831 (0.831) data 0.000 (0.001) eta 2:07:34 loss_g -0.8522 (-0.7457) loss_f 0.2448 (0.1519) loss_d 0.0096 (0.0181) lr 0.0005 epoch [5/25][160/446] time 0.823 (0.831) data 0.000 (0.001) eta 2:07:25 loss_g -0.7056 (-0.7694) loss_f 0.2298 (0.1481) loss_d 0.0045 (0.0172) lr 0.0005 epoch [5/25][170/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:07:16 loss_g -0.4892 (-0.7966) loss_f 0.0083 (0.1501) loss_d 0.0062 (0.0171) lr 0.0005 epoch [5/25][180/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:07:08 loss_g -1.0721 (-0.7981) loss_f 0.3117 (0.1531) loss_d 0.0181 (0.0172) lr 0.0005 epoch [5/25][190/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:07:00 loss_g -0.5948 (-0.7927) loss_f 0.2081 (0.1541) loss_d 0.0019 (0.0166) lr 0.0005 epoch [5/25][200/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:06:52 loss_g -1.0744 (-0.8077) loss_f 0.1241 (0.1546) loss_d 0.0020 (0.0165) lr 0.0005 epoch [5/25][210/446] time 0.827 (0.830) data 0.000 (0.001) eta 2:06:43 loss_g -1.1176 (-0.8314) loss_f 0.0436 (0.1551) loss_d 0.0027 (0.0161) lr 0.0005 epoch [5/25][220/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:06:35 loss_g -0.4346 (-0.8454) loss_f 0.0111 (0.1532) loss_d 0.0096 (0.0158) lr 0.0005 epoch [5/25][230/446] time 0.826 (0.830) data 0.000 (0.001) eta 2:06:26 loss_g -1.0010 (-0.8547) loss_f 0.0418 (0.1538) loss_d 0.0226 (0.0158) lr 0.0005 epoch [5/25][240/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:06:18 loss_g -1.2886 (-0.8729) loss_f 0.0092 (0.1531) loss_d 0.0153 (0.0155) lr 0.0005 epoch [5/25][250/446] time 0.826 (0.830) data 0.000 (0.001) eta 2:06:09 loss_g -0.5777 (-0.8891) loss_f 0.1915 (0.1519) loss_d 0.0007 (0.0151) lr 0.0005 epoch [5/25][260/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:06:00 loss_g -0.6954 (-0.8940) loss_f 0.2457 (0.1517) loss_d 0.0059 (0.0149) lr 0.0005 epoch [5/25][270/446] time 0.829 (0.830) data 0.000 (0.001) eta 2:05:52 loss_g -0.0151 (-0.9042) loss_f 0.5341 (0.1518) loss_d 0.1010 (0.0153) lr 0.0005 epoch [5/25][280/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:05:44 loss_g -1.7004 (-0.9072) loss_f 0.0612 (0.1518) loss_d 0.0020 (0.0149) lr 0.0005 epoch [5/25][290/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:05:36 loss_g -1.1179 (-0.9049) loss_f 0.1202 (0.1509) loss_d 0.0022 (0.0145) lr 0.0005 epoch [5/25][300/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:05:27 loss_g -0.5757 (-0.9029) loss_f 0.2293 (0.1516) loss_d 0.0028 (0.0143) lr 0.0005 epoch [5/25][310/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:05:19 loss_g -1.1507 (-0.9283) loss_f 0.4128 (0.1533) loss_d 0.0015 (0.0146) lr 0.0005 epoch [5/25][320/446] time 0.827 (0.830) data 0.000 (0.001) eta 2:05:11 loss_g -1.2625 (-0.9359) loss_f 0.0777 (0.1520) loss_d 0.0017 (0.0145) lr 0.0005 epoch [5/25][330/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:05:02 loss_g -1.7053 (-0.9449) loss_f 0.0802 (0.1520) loss_d 0.0019 (0.0143) lr 0.0005 epoch [5/25][340/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:04:54 loss_g -2.4179 (-0.9589) loss_f 0.1115 (0.1512) loss_d 0.0012 (0.0141) lr 0.0005 epoch [5/25][350/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:04:46 loss_g -1.5676 (-0.9644) loss_f 0.0573 (0.1495) loss_d 0.0024 (0.0139) lr 0.0005 epoch [5/25][360/446] time 0.830 (0.830) data 0.000 (0.001) eta 2:04:38 loss_g -1.1817 (-0.9662) loss_f 0.1248 (0.1486) loss_d 0.0054 (0.0138) lr 0.0005 epoch [5/25][370/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:04:29 loss_g -1.6385 (-0.9856) loss_f 0.0483 (0.1479) loss_d 0.0004 (0.0136) lr 0.0005 epoch [5/25][380/446] time 0.831 (0.830) data 0.000 (0.001) eta 2:04:21 loss_g -1.4398 (-1.0033) loss_f 0.0497 (0.1478) loss_d 0.0018 (0.0139) lr 0.0005 epoch [5/25][390/446] time 0.829 (0.830) data 0.000 (0.001) eta 2:04:12 loss_g -2.0988 (-1.0164) loss_f 0.1144 (0.1471) loss_d 0.0025 (0.0143) lr 0.0005 epoch [5/25][400/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:04:04 loss_g -1.2117 (-1.0231) loss_f 0.1420 (0.1460) loss_d 0.0003 (0.0140) lr 0.0005 epoch [5/25][410/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:03:56 loss_g -0.8217 (-1.0274) loss_f 0.0409 (0.1457) loss_d 0.0012 (0.0138) lr 0.0005 epoch [5/25][420/446] time 0.825 (0.830) data 0.000 (0.001) eta 2:03:47 loss_g -1.7495 (-1.0365) loss_f 0.2339 (0.1449) loss_d 0.0164 (0.0136) lr 0.0005 epoch [5/25][430/446] time 0.832 (0.830) data 0.000 (0.001) eta 2:03:39 loss_g -0.4174 (-1.0455) loss_f 0.0982 (0.1446) loss_d 0.2526 (0.0147) lr 0.0005 epoch [5/25][440/446] time 0.823 (0.830) data 0.000 (0.001) eta 2:03:30 loss_g -0.7234 (-1.0528) loss_f 0.3173 (0.1444) loss_d 0.0004 (0.0146) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,637 * accuracy: 79.93% * error: 20.07% epoch [6/25][10/446] time 0.831 (0.851) data 0.000 (0.022) eta 2:06:25 loss_g -2.6234 (-2.0457) loss_f 0.1918 (0.0952) loss_d 0.0035 (0.0111) lr 0.0005 epoch [6/25][20/446] time 0.832 (0.841) data 0.000 (0.011) eta 2:04:41 loss_g -1.4666 (-1.7846) loss_f 0.0484 (0.0919) loss_d 0.0025 (0.0082) lr 0.0005 epoch [6/25][30/446] time 0.828 (0.837) data 0.000 (0.007) eta 2:04:00 loss_g -1.7355 (-1.8608) loss_f 0.0613 (0.0858) loss_d 0.0075 (0.0160) lr 0.0005 epoch [6/25][40/446] time 0.828 (0.835) data 0.000 (0.006) eta 2:03:31 loss_g -0.5738 (-1.7530) loss_f 0.0819 (0.0971) loss_d 0.0005 (0.0156) lr 0.0005 epoch [6/25][50/446] time 0.826 (0.834) data 0.000 (0.004) eta 2:03:15 loss_g -0.7860 (-1.7393) loss_f 0.5445 (0.1061) loss_d 0.0047 (0.0164) lr 0.0005 epoch [6/25][60/446] time 0.828 (0.833) data 0.000 (0.004) eta 2:03:01 loss_g -1.6383 (-1.7618) loss_f 0.0167 (0.0997) loss_d 0.0607 (0.0152) lr 0.0005 epoch [6/25][70/446] time 0.826 (0.833) data 0.000 (0.003) eta 2:02:49 loss_g -1.7096 (-1.8017) loss_f 0.2094 (0.0981) loss_d 0.0065 (0.0137) lr 0.0005 epoch [6/25][80/446] time 0.831 (0.832) data 0.000 (0.003) eta 2:02:36 loss_g -1.2963 (-1.7758) loss_f 0.0155 (0.1015) loss_d 0.0025 (0.0129) lr 0.0005 epoch [6/25][90/446] time 0.832 (0.832) data 0.000 (0.002) eta 2:02:27 loss_g -0.8521 (-1.7599) loss_f 0.0360 (0.0973) loss_d 0.0010 (0.0123) lr 0.0005 epoch [6/25][100/446] time 0.830 (0.832) data 0.000 (0.002) eta 2:02:15 loss_g -1.9267 (-1.7462) loss_f 0.2160 (0.1018) loss_d 0.0033 (0.0118) lr 0.0005 epoch [6/25][110/446] time 0.831 (0.832) data 0.000 (0.002) eta 2:02:06 loss_g -2.1221 (-1.7543) loss_f 0.0834 (0.1003) loss_d 0.0184 (0.0113) lr 0.0005 epoch [6/25][120/446] time 0.830 (0.831) data 0.000 (0.002) eta 2:01:56 loss_g -1.1585 (-1.7296) loss_f 0.0316 (0.0993) loss_d 0.0003 (0.0116) lr 0.0005 epoch [6/25][130/446] time 0.831 (0.831) data 0.000 (0.002) eta 2:01:48 loss_g -1.5939 (-1.7249) loss_f 0.0298 (0.1006) loss_d 0.0098 (0.0110) lr 0.0005 epoch [6/25][140/446] time 0.831 (0.831) data 0.000 (0.002) eta 2:01:39 loss_g -2.5200 (-1.7293) loss_f 0.1236 (0.1024) loss_d 0.0008 (0.0105) lr 0.0005 epoch [6/25][150/446] time 0.829 (0.831) data 0.000 (0.002) eta 2:01:30 loss_g -1.2260 (-1.7453) loss_f 0.3520 (0.1010) loss_d 0.0031 (0.0101) lr 0.0005 epoch [6/25][160/446] time 0.831 (0.831) data 0.000 (0.001) eta 2:01:22 loss_g -0.5495 (-1.7264) loss_f 0.2919 (0.1034) loss_d 0.0011 (0.0099) lr 0.0005 epoch [6/25][170/446] time 0.826 (0.831) data 0.000 (0.001) eta 2:01:12 loss_g -1.9235 (-1.7335) loss_f 0.0591 (0.1062) loss_d 0.0027 (0.0099) lr 0.0005 epoch [6/25][180/446] time 0.830 (0.831) data 0.000 (0.001) eta 2:01:03 loss_g -1.4243 (-1.7375) loss_f 0.2177 (0.1070) loss_d 0.0033 (0.0096) lr 0.0005 epoch [6/25][190/446] time 0.828 (0.831) data 0.000 (0.001) eta 2:00:54 loss_g -2.2752 (-1.7267) loss_f 0.0606 (0.1090) loss_d 0.0038 (0.0098) lr 0.0005 epoch [6/25][200/446] time 0.828 (0.831) data 0.000 (0.001) eta 2:00:45 loss_g -1.8221 (-1.7268) loss_f 0.0522 (0.1098) loss_d 0.0110 (0.0101) lr 0.0005 epoch [6/25][210/446] time 0.829 (0.831) data 0.000 (0.001) eta 2:00:37 loss_g -1.2194 (-1.7087) loss_f 0.1370 (0.1097) loss_d 0.0009 (0.0098) lr 0.0005 epoch [6/25][220/446] time 0.831 (0.831) data 0.000 (0.001) eta 2:00:28 loss_g -1.6863 (-1.7268) loss_f 0.0396 (0.1088) loss_d 0.0044 (0.0102) lr 0.0005 epoch [6/25][230/446] time 0.831 (0.831) data 0.000 (0.001) eta 2:00:20 loss_g -1.9368 (-1.7213) loss_f 0.0948 (0.1077) loss_d 0.0004 (0.0100) lr 0.0005 epoch [6/25][240/446] time 0.829 (0.831) data 0.000 (0.001) eta 2:00:11 loss_g -0.5876 (-1.7484) loss_f 0.1488 (0.1079) loss_d 0.0086 (0.0108) lr 0.0005 epoch [6/25][250/446] time 0.832 (0.831) data 0.000 (0.001) eta 2:00:03 loss_g -1.4878 (-1.7567) loss_f 0.1637 (0.1071) loss_d 0.0060 (0.0120) lr 0.0005 epoch [6/25][260/446] time 0.825 (0.831) data 0.000 (0.001) eta 1:59:54 loss_g -1.6946 (-1.7536) loss_f 0.0838 (0.1050) loss_d 0.0014 (0.0123) lr 0.0005 epoch [6/25][270/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:59:46 loss_g -2.1153 (-1.7605) loss_f 0.1109 (0.1051) loss_d 0.0422 (0.0121) lr 0.0005 epoch [6/25][280/446] time 0.822 (0.831) data 0.000 (0.001) eta 1:59:37 loss_g -2.1135 (-1.7596) loss_f 0.2242 (0.1042) loss_d 0.0006 (0.0125) lr 0.0005 epoch [6/25][290/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:59:28 loss_g -2.5314 (-1.7517) loss_f 0.0227 (0.1039) loss_d 0.0012 (0.0127) lr 0.0005 epoch [6/25][300/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:59:20 loss_g -1.7487 (-1.7621) loss_f 0.2535 (0.1045) loss_d 0.0047 (0.0125) lr 0.0005 epoch [6/25][310/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:59:11 loss_g -3.0816 (-1.7718) loss_f 0.1883 (0.1039) loss_d 0.0016 (0.0122) lr 0.0005 epoch [6/25][320/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:59:03 loss_g -2.5065 (-1.7749) loss_f 0.0363 (0.1049) loss_d 0.0008 (0.0120) lr 0.0005 epoch [6/25][330/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:58:54 loss_g -2.9353 (-1.7900) loss_f 0.1009 (0.1057) loss_d 0.0065 (0.0118) lr 0.0005 epoch [6/25][340/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:58:46 loss_g -2.7756 (-1.7912) loss_f 0.0040 (0.1062) loss_d 0.0027 (0.0121) lr 0.0005 epoch [6/25][350/446] time 0.827 (0.831) data 0.000 (0.001) eta 1:58:38 loss_g -2.3624 (-1.7987) loss_f 0.0531 (0.1057) loss_d 0.0006 (0.0121) lr 0.0005 epoch [6/25][360/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:58:29 loss_g -1.3609 (-1.7965) loss_f 0.0730 (0.1087) loss_d 0.0008 (0.0120) lr 0.0005 epoch [6/25][370/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:58:21 loss_g -2.7481 (-1.8082) loss_f 0.0893 (0.1080) loss_d 0.0013 (0.0122) lr 0.0005 epoch [6/25][380/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:58:13 loss_g -2.4283 (-1.8015) loss_f 0.0704 (0.1081) loss_d 0.0057 (0.0121) lr 0.0005 epoch [6/25][390/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:58:04 loss_g -1.9690 (-1.7911) loss_f 0.2148 (0.1089) loss_d 0.0004 (0.0134) lr 0.0005 epoch [6/25][400/446] time 0.824 (0.831) data 0.000 (0.001) eta 1:57:56 loss_g -1.9451 (-1.7970) loss_f 0.0599 (0.1090) loss_d 0.0064 (0.0141) lr 0.0005 epoch [6/25][410/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:57:48 loss_g -2.4805 (-1.8025) loss_f 0.2647 (0.1109) loss_d 0.0476 (0.0143) lr 0.0005 epoch [6/25][420/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:57:39 loss_g -1.9413 (-1.8015) loss_f 0.2609 (0.1112) loss_d 0.0010 (0.0143) lr 0.0005 epoch [6/25][430/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:57:31 loss_g -2.8372 (-1.8007) loss_f 0.2045 (0.1113) loss_d 0.0015 (0.0144) lr 0.0005 epoch [6/25][440/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:57:23 loss_g -0.9189 (-1.8025) loss_f 0.1278 (0.1116) loss_d 0.0213 (0.0144) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,587 * accuracy: 77.49% * error: 22.51% epoch [7/25][10/446] time 0.831 (0.866) data 0.000 (0.036) eta 2:02:06 loss_g -2.1000 (-2.1580) loss_f 0.1254 (0.1090) loss_d 0.0049 (0.0182) lr 0.0005 epoch [7/25][20/446] time 0.831 (0.848) data 0.000 (0.018) eta 1:59:27 loss_g -1.7537 (-2.0362) loss_f 0.1274 (0.0988) loss_d 0.0021 (0.0105) lr 0.0005 epoch [7/25][30/446] time 0.831 (0.842) data 0.000 (0.012) eta 1:58:26 loss_g -1.1585 (-2.0826) loss_f 0.1141 (0.0975) loss_d 0.0008 (0.0102) lr 0.0005 epoch [7/25][40/446] time 0.830 (0.839) data 0.000 (0.009) eta 1:57:52 loss_g -1.8858 (-2.0977) loss_f 0.0600 (0.0922) loss_d 0.0004 (0.0084) lr 0.0005 epoch [7/25][50/446] time 0.831 (0.837) data 0.000 (0.007) eta 1:57:30 loss_g -1.2186 (-2.1868) loss_f 0.1718 (0.0969) loss_d 0.0015 (0.0072) lr 0.0005 epoch [7/25][60/446] time 0.831 (0.836) data 0.000 (0.006) eta 1:57:14 loss_g -3.5844 (-2.2309) loss_f 0.0387 (0.0913) loss_d 0.0029 (0.0066) lr 0.0005 epoch [7/25][70/446] time 0.830 (0.835) data 0.000 (0.005) eta 1:56:56 loss_g -1.8514 (-2.2322) loss_f 0.0217 (0.0922) loss_d 0.0003 (0.0061) lr 0.0005 epoch [7/25][80/446] time 0.830 (0.834) data 0.000 (0.005) eta 1:56:43 loss_g -3.1283 (-2.2149) loss_f 0.0652 (0.0909) loss_d 0.0235 (0.0061) lr 0.0005 epoch [7/25][90/446] time 0.831 (0.834) data 0.000 (0.004) eta 1:56:30 loss_g -1.6995 (-2.1656) loss_f 0.0790 (0.0876) loss_d 0.0016 (0.0056) lr 0.0005 epoch [7/25][100/446] time 0.830 (0.834) data 0.000 (0.004) eta 1:56:20 loss_g -3.9906 (-2.1960) loss_f 0.1366 (0.0923) loss_d 0.0051 (0.0062) lr 0.0005 epoch [7/25][110/446] time 0.830 (0.833) data 0.000 (0.003) eta 1:56:09 loss_g -1.8114 (-2.1945) loss_f 0.0149 (0.0923) loss_d 0.0003 (0.0061) lr 0.0005 epoch [7/25][120/446] time 0.832 (0.833) data 0.000 (0.003) eta 1:55:59 loss_g -1.3257 (-2.1427) loss_f 0.1134 (0.0916) loss_d 0.0931 (0.0067) lr 0.0005 epoch [7/25][130/446] time 0.832 (0.833) data 0.000 (0.003) eta 1:55:49 loss_g -1.7590 (-2.1464) loss_f 0.1051 (0.0905) loss_d 0.0006 (0.0064) lr 0.0005 epoch [7/25][140/446] time 0.831 (0.833) data 0.000 (0.003) eta 1:55:39 loss_g -2.8741 (-2.1581) loss_f 0.2832 (0.0907) loss_d 0.0008 (0.0064) lr 0.0005 epoch [7/25][150/446] time 0.831 (0.832) data 0.000 (0.002) eta 1:55:29 loss_g -3.0360 (-2.1582) loss_f 0.0620 (0.0906) loss_d 0.0376 (0.0064) lr 0.0005 epoch [7/25][160/446] time 0.830 (0.832) data 0.000 (0.002) eta 1:55:18 loss_g -2.1300 (-2.1448) loss_f 0.1421 (0.0905) loss_d 0.0086 (0.0064) lr 0.0005 epoch [7/25][170/446] time 0.830 (0.832) data 0.000 (0.002) eta 1:55:09 loss_g -3.0108 (-2.1637) loss_f 0.2738 (0.0903) loss_d 0.0031 (0.0063) lr 0.0005 epoch [7/25][180/446] time 0.831 (0.832) data 0.000 (0.002) eta 1:54:58 loss_g -0.8835 (-2.1456) loss_f 0.0379 (0.0885) loss_d 0.2800 (0.0077) lr 0.0005 epoch [7/25][190/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:54:50 loss_g -0.7659 (-2.1487) loss_f 0.1657 (0.0907) loss_d 0.0003 (0.0075) lr 0.0005 epoch [7/25][200/446] time 0.825 (0.832) data 0.000 (0.002) eta 1:54:41 loss_g -2.7227 (-2.1400) loss_f 0.0355 (0.0925) loss_d 0.0359 (0.0075) lr 0.0005 epoch [7/25][210/446] time 0.829 (0.832) data 0.000 (0.002) eta 1:54:32 loss_g -2.5563 (-2.1405) loss_f 0.0193 (0.0931) loss_d 0.2599 (0.0085) lr 0.0005 epoch [7/25][220/446] time 0.831 (0.832) data 0.000 (0.002) eta 1:54:23 loss_g -2.5941 (-2.1717) loss_f 0.0250 (0.0918) loss_d 0.0067 (0.0107) lr 0.0005 epoch [7/25][230/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:54:15 loss_g -2.3319 (-2.1797) loss_f 0.0739 (0.0931) loss_d 0.0013 (0.0108) lr 0.0005 epoch [7/25][240/446] time 0.821 (0.831) data 0.000 (0.002) eta 1:54:05 loss_g -2.3968 (-2.1858) loss_f 0.0710 (0.0924) loss_d 0.0042 (0.0106) lr 0.0005 epoch [7/25][250/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:53:56 loss_g -1.2742 (-2.1906) loss_f 0.0414 (0.0923) loss_d 0.0008 (0.0104) lr 0.0005 epoch [7/25][260/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:53:48 loss_g -3.3200 (-2.1919) loss_f 0.1285 (0.0930) loss_d 0.0099 (0.0103) lr 0.0005 epoch [7/25][270/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:53:39 loss_g -2.7596 (-2.2010) loss_f 0.1316 (0.0939) loss_d 0.0005 (0.0106) lr 0.0005 epoch [7/25][280/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:53:31 loss_g -1.6656 (-2.1974) loss_f 0.0171 (0.0937) loss_d 0.0009 (0.0103) lr 0.0005 epoch [7/25][290/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:53:22 loss_g -3.1292 (-2.2069) loss_f 0.1631 (0.0940) loss_d 0.0009 (0.0104) lr 0.0005 epoch [7/25][300/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:53:13 loss_g -3.0568 (-2.2072) loss_f 0.0249 (0.0946) loss_d 0.0022 (0.0104) lr 0.0005 epoch [7/25][310/446] time 0.826 (0.831) data 0.000 (0.001) eta 1:53:05 loss_g -1.0026 (-2.2060) loss_f 0.0511 (0.0935) loss_d 0.0053 (0.0103) lr 0.0005 epoch [7/25][320/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:52:56 loss_g -3.6718 (-2.2219) loss_f 0.0584 (0.0938) loss_d 0.0020 (0.0103) lr 0.0005 epoch [7/25][330/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:52:48 loss_g -2.1334 (-2.2295) loss_f 0.0405 (0.0950) loss_d 0.0014 (0.0101) lr 0.0005 epoch [7/25][340/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:52:39 loss_g -2.4217 (-2.2327) loss_f 0.0375 (0.0946) loss_d 0.0020 (0.0099) lr 0.0005 epoch [7/25][350/446] time 0.825 (0.831) data 0.000 (0.001) eta 1:52:30 loss_g -1.5373 (-2.2292) loss_f 0.0203 (0.0937) loss_d 0.0030 (0.0097) lr 0.0005 epoch [7/25][360/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:52:22 loss_g -2.7822 (-2.2370) loss_f 0.0437 (0.0945) loss_d 0.0005 (0.0095) lr 0.0005 epoch [7/25][370/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:52:13 loss_g -1.7363 (-2.2306) loss_f 0.0643 (0.0940) loss_d 0.0013 (0.0106) lr 0.0005 epoch [7/25][380/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:52:04 loss_g -3.6727 (-2.2380) loss_f 0.2092 (0.0942) loss_d 0.0092 (0.0105) lr 0.0005 epoch [7/25][390/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:51:56 loss_g -2.9749 (-2.2507) loss_f 0.0600 (0.0956) loss_d 0.0048 (0.0110) lr 0.0005 epoch [7/25][400/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:51:48 loss_g -2.3490 (-2.2569) loss_f 0.0211 (0.0956) loss_d 0.0011 (0.0109) lr 0.0005 epoch [7/25][410/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:51:39 loss_g -3.3699 (-2.2738) loss_f 0.0166 (0.0962) loss_d 0.0007 (0.0108) lr 0.0005 epoch [7/25][420/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:51:31 loss_g -2.1277 (-2.2726) loss_f 0.2668 (0.0955) loss_d 0.0006 (0.0106) lr 0.0005 epoch [7/25][430/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:51:22 loss_g -2.9604 (-2.2859) loss_f 0.1144 (0.0950) loss_d 0.0050 (0.0104) lr 0.0005 epoch [7/25][440/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:51:14 loss_g -2.6602 (-2.2981) loss_f 0.0405 (0.0948) loss_d 0.0052 (0.0107) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,600 * accuracy: 78.12% * error: 21.88% epoch [8/25][10/446] time 0.831 (0.849) data 0.000 (0.020) eta 1:53:25 loss_g -3.9827 (-2.3699) loss_f 0.2525 (0.0973) loss_d 0.0155 (0.0095) lr 0.0005 epoch [8/25][20/446] time 0.826 (0.839) data 0.000 (0.010) eta 1:51:56 loss_g -3.9064 (-2.5550) loss_f 0.0296 (0.0927) loss_d 0.0123 (0.0077) lr 0.0005 epoch [8/25][30/446] time 0.830 (0.836) data 0.000 (0.007) eta 1:51:22 loss_g -2.7341 (-2.6809) loss_f 0.1235 (0.0795) loss_d 0.0004 (0.0060) lr 0.0005 epoch [8/25][40/446] time 0.832 (0.834) data 0.000 (0.005) eta 1:51:01 loss_g -2.6360 (-2.6880) loss_f 0.0424 (0.0828) loss_d 0.0021 (0.0057) lr 0.0005 epoch [8/25][50/446] time 0.829 (0.833) data 0.000 (0.004) eta 1:50:49 loss_g -1.6459 (-2.6308) loss_f 0.0416 (0.0824) loss_d 0.0002 (0.0055) lr 0.0005 epoch [8/25][60/446] time 0.831 (0.833) data 0.000 (0.003) eta 1:50:37 loss_g -1.1416 (-2.5568) loss_f 0.0358 (0.0833) loss_d 0.0022 (0.0061) lr 0.0005 epoch [8/25][70/446] time 0.832 (0.833) data 0.000 (0.003) eta 1:50:25 loss_g -2.7617 (-2.5687) loss_f 0.0281 (0.0810) loss_d 0.0109 (0.0057) lr 0.0005 epoch [8/25][80/446] time 0.832 (0.832) data 0.000 (0.003) eta 1:50:15 loss_g -2.1519 (-2.5885) loss_f 0.0568 (0.0902) loss_d 0.0633 (0.0060) lr 0.0005 epoch [8/25][90/446] time 0.831 (0.832) data 0.000 (0.002) eta 1:50:05 loss_g -1.5362 (-2.5764) loss_f 0.0294 (0.0890) loss_d 0.0012 (0.0063) lr 0.0005 epoch [8/25][100/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:49:56 loss_g -3.0998 (-2.5372) loss_f 0.0090 (0.0897) loss_d 0.0264 (0.0068) lr 0.0005 epoch [8/25][110/446] time 0.827 (0.832) data 0.000 (0.002) eta 1:49:46 loss_g -2.0294 (-2.5451) loss_f 0.0160 (0.0892) loss_d 0.0016 (0.0074) lr 0.0005 epoch [8/25][120/446] time 0.831 (0.832) data 0.000 (0.002) eta 1:49:37 loss_g -2.5259 (-2.5324) loss_f 0.0696 (0.0854) loss_d 0.0005 (0.0072) lr 0.0005 epoch [8/25][130/446] time 0.830 (0.832) data 0.000 (0.002) eta 1:49:29 loss_g -1.4635 (-2.5414) loss_f 0.1185 (0.0854) loss_d 0.0092 (0.0071) lr 0.0005 epoch [8/25][140/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:49:20 loss_g -2.2367 (-2.5715) loss_f 0.1012 (0.0835) loss_d 0.0243 (0.0071) lr 0.0005 epoch [8/25][150/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:49:12 loss_g -1.5113 (-2.5418) loss_f 0.0254 (0.0837) loss_d 0.0004 (0.0072) lr 0.0005 epoch [8/25][160/446] time 0.827 (0.832) data 0.000 (0.001) eta 1:49:02 loss_g -2.2604 (-2.5751) loss_f 0.0073 (0.0820) loss_d 0.0076 (0.0069) lr 0.0005 epoch [8/25][170/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:48:53 loss_g -2.3350 (-2.6017) loss_f 0.0555 (0.0827) loss_d 0.0008 (0.0086) lr 0.0005 epoch [8/25][180/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:48:44 loss_g -2.5906 (-2.6056) loss_f 0.0815 (0.0806) loss_d 0.0005 (0.0084) lr 0.0005 epoch [8/25][190/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:48:35 loss_g -4.6493 (-2.6079) loss_f 0.1082 (0.0813) loss_d 0.0009 (0.0081) lr 0.0005 epoch [8/25][200/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:48:27 loss_g -3.5102 (-2.6193) loss_f 0.0356 (0.0815) loss_d 0.0003 (0.0077) lr 0.0005 epoch [8/25][210/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:48:18 loss_g -4.0410 (-2.6217) loss_f 0.1628 (0.0819) loss_d 0.0060 (0.0078) lr 0.0005 epoch [8/25][220/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:48:09 loss_g -3.2927 (-2.6254) loss_f 0.1095 (0.0819) loss_d 0.0008 (0.0094) lr 0.0005 epoch [8/25][230/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:48:00 loss_g -2.7529 (-2.6433) loss_f 0.0826 (0.0830) loss_d 0.0085 (0.0100) lr 0.0005 epoch [8/25][240/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:47:52 loss_g -1.7304 (-2.6310) loss_f 0.3996 (0.0836) loss_d 0.0067 (0.0099) lr 0.0005 epoch [8/25][250/446] time 0.826 (0.831) data 0.000 (0.001) eta 1:47:43 loss_g -2.1560 (-2.6464) loss_f 0.0647 (0.0815) loss_d 0.0322 (0.0098) lr 0.0005 epoch [8/25][260/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:47:34 loss_g -1.8000 (-2.6490) loss_f 0.0646 (0.0807) loss_d 0.0194 (0.0100) lr 0.0005 epoch [8/25][270/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:47:26 loss_g -2.9218 (-2.6713) loss_f 0.0817 (0.0793) loss_d 0.0275 (0.0099) lr 0.0005 epoch [8/25][280/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:47:17 loss_g -2.3342 (-2.6810) loss_f 0.1056 (0.0796) loss_d 0.0002 (0.0102) lr 0.0005 epoch [8/25][290/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:47:09 loss_g -4.1846 (-2.6912) loss_f 0.1693 (0.0793) loss_d 0.0156 (0.0102) lr 0.0005 epoch [8/25][300/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:47:00 loss_g -3.5540 (-2.7106) loss_f 0.0613 (0.0793) loss_d 0.0042 (0.0099) lr 0.0005 epoch [8/25][310/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:46:52 loss_g -3.4412 (-2.7125) loss_f 0.1766 (0.0785) loss_d 0.0056 (0.0098) lr 0.0005 epoch [8/25][320/446] time 0.826 (0.831) data 0.000 (0.001) eta 1:46:43 loss_g -4.2835 (-2.7288) loss_f 0.0476 (0.0785) loss_d 0.0111 (0.0096) lr 0.0005 epoch [8/25][330/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:46:35 loss_g -1.2842 (-2.7371) loss_f 0.0535 (0.0786) loss_d 0.1234 (0.0097) lr 0.0005 epoch [8/25][340/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:46:27 loss_g -2.9793 (-2.7336) loss_f 0.2405 (0.0788) loss_d 0.0214 (0.0098) lr 0.0005 epoch [8/25][350/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:46:18 loss_g -2.1432 (-2.7323) loss_f 0.0092 (0.0786) loss_d 0.0354 (0.0099) lr 0.0005 epoch [8/25][360/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:46:10 loss_g -1.0318 (-2.7280) loss_f 0.1380 (0.0787) loss_d 0.0092 (0.0098) lr 0.0005 epoch [8/25][370/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:46:01 loss_g -1.5708 (-2.7215) loss_f 0.0633 (0.0785) loss_d 0.0014 (0.0096) lr 0.0005 epoch [8/25][380/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:45:53 loss_g -3.3116 (-2.7229) loss_f 0.0230 (0.0797) loss_d 0.0005 (0.0094) lr 0.0005 epoch [8/25][390/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:45:44 loss_g -3.5315 (-2.7198) loss_f 0.1316 (0.0799) loss_d 0.0048 (0.0093) lr 0.0005 epoch [8/25][400/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:45:35 loss_g -3.3121 (-2.7143) loss_f 0.0310 (0.0811) loss_d 0.0018 (0.0095) lr 0.0005 epoch [8/25][410/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:45:27 loss_g -2.6981 (-2.7178) loss_f 0.1181 (0.0814) loss_d 0.0116 (0.0094) lr 0.0005 epoch [8/25][420/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:45:19 loss_g -1.8061 (-2.7057) loss_f 0.2127 (0.0835) loss_d 0.0003 (0.0094) lr 0.0005 epoch [8/25][430/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:45:10 loss_g -0.7205 (-2.6991) loss_f 0.0217 (0.0832) loss_d 0.0110 (0.0093) lr 0.0005 epoch [8/25][440/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:45:02 loss_g -3.3876 (-2.7116) loss_f 0.0428 (0.0833) loss_d 0.0032 (0.0094) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,593 * accuracy: 77.78% * error: 22.22% epoch [9/25][10/446] time 0.831 (0.850) data 0.000 (0.021) eta 1:47:18 loss_g -1.9709 (-2.8726) loss_f 0.1603 (0.0589) loss_d 0.0020 (0.0069) lr 0.0005 epoch [9/25][20/446] time 0.830 (0.840) data 0.000 (0.011) eta 1:45:54 loss_g -4.5274 (-2.9977) loss_f 0.0874 (0.0654) loss_d 0.0058 (0.0081) lr 0.0005 epoch [9/25][30/446] time 0.832 (0.837) data 0.000 (0.007) eta 1:45:23 loss_g -3.0598 (-3.0527) loss_f 0.1859 (0.0752) loss_d 0.0010 (0.0087) lr 0.0005 epoch [9/25][40/446] time 0.831 (0.836) data 0.000 (0.005) eta 1:45:02 loss_g -1.7274 (-3.1274) loss_f 0.0648 (0.0831) loss_d 0.0017 (0.0079) lr 0.0005 epoch [9/25][50/446] time 0.832 (0.835) data 0.000 (0.004) eta 1:44:46 loss_g -3.8148 (-3.1412) loss_f 0.0364 (0.0759) loss_d 0.0038 (0.0092) lr 0.0005 epoch [9/25][60/446] time 0.827 (0.834) data 0.000 (0.004) eta 1:44:32 loss_g -3.6901 (-3.1299) loss_f 0.0311 (0.0830) loss_d 0.0099 (0.0083) lr 0.0005 epoch [9/25][70/446] time 0.832 (0.833) data 0.000 (0.003) eta 1:44:20 loss_g -2.6119 (-3.0995) loss_f 0.0530 (0.0812) loss_d 0.0159 (0.0087) lr 0.0005 epoch [9/25][80/446] time 0.831 (0.833) data 0.000 (0.003) eta 1:44:09 loss_g -3.2074 (-3.1077) loss_f 0.0343 (0.0809) loss_d 0.0025 (0.0087) lr 0.0005 epoch [9/25][90/446] time 0.831 (0.833) data 0.000 (0.002) eta 1:43:58 loss_g -3.5266 (-3.0834) loss_f 0.2385 (0.0825) loss_d 0.0131 (0.0083) lr 0.0005 epoch [9/25][100/446] time 0.831 (0.832) data 0.000 (0.002) eta 1:43:48 loss_g -2.2003 (-3.0974) loss_f 0.1008 (0.0785) loss_d 0.0028 (0.0077) lr 0.0005 epoch [9/25][110/446] time 0.831 (0.832) data 0.000 (0.002) eta 1:43:38 loss_g -3.5964 (-3.0957) loss_f 0.0060 (0.0775) loss_d 0.0007 (0.0073) lr 0.0005 epoch [9/25][120/446] time 0.828 (0.832) data 0.000 (0.002) eta 1:43:29 loss_g -3.2718 (-3.1017) loss_f 0.0254 (0.0761) loss_d 0.0009 (0.0070) lr 0.0005 epoch [9/25][130/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:43:20 loss_g -3.3156 (-3.0921) loss_f 0.0265 (0.0745) loss_d 0.0013 (0.0066) lr 0.0005 epoch [9/25][140/446] time 0.827 (0.832) data 0.000 (0.002) eta 1:43:10 loss_g -3.3079 (-3.1061) loss_f 0.1017 (0.0734) loss_d 0.0019 (0.0065) lr 0.0005 epoch [9/25][150/446] time 0.829 (0.832) data 0.000 (0.001) eta 1:43:01 loss_g -2.8178 (-3.1008) loss_f 0.0329 (0.0722) loss_d 0.0026 (0.0064) lr 0.0005 epoch [9/25][160/446] time 0.828 (0.832) data 0.000 (0.001) eta 1:42:52 loss_g -3.0299 (-3.1236) loss_f 0.1028 (0.0709) loss_d 0.0005 (0.0073) lr 0.0005 epoch [9/25][170/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:42:42 loss_g -3.3977 (-3.1179) loss_f 0.0823 (0.0709) loss_d 0.0049 (0.0074) lr 0.0005 epoch [9/25][180/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:42:33 loss_g -1.9103 (-3.1177) loss_f 0.0141 (0.0683) loss_d 0.0007 (0.0073) lr 0.0005 epoch [9/25][190/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:42:25 loss_g -2.0747 (-3.1184) loss_f 0.0115 (0.0689) loss_d 0.0161 (0.0075) lr 0.0005 epoch [9/25][200/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:42:16 loss_g -2.9197 (-3.1103) loss_f 0.0260 (0.0699) loss_d 0.0006 (0.0073) lr 0.0005 epoch [9/25][210/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:42:07 loss_g -3.5590 (-3.1443) loss_f 0.0333 (0.0694) loss_d 0.0032 (0.0074) lr 0.0005 epoch [9/25][220/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:41:59 loss_g -3.3764 (-3.1436) loss_f 0.1648 (0.0728) loss_d 0.0130 (0.0073) lr 0.0005 epoch [9/25][230/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:41:50 loss_g -1.3611 (-3.1311) loss_f 0.0061 (0.0726) loss_d 0.0057 (0.0073) lr 0.0005 epoch [9/25][240/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:41:42 loss_g -3.1497 (-3.1287) loss_f 0.0228 (0.0720) loss_d 0.0005 (0.0070) lr 0.0005 epoch [9/25][250/446] time 0.824 (0.831) data 0.000 (0.001) eta 1:41:33 loss_g -1.0001 (-3.1286) loss_f 0.0264 (0.0716) loss_d 0.0091 (0.0070) lr 0.0005 epoch [9/25][260/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:41:24 loss_g -1.7490 (-3.1183) loss_f 0.0079 (0.0720) loss_d 0.0024 (0.0072) lr 0.0005 epoch [9/25][270/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:41:16 loss_g -4.0779 (-3.1104) loss_f 0.0434 (0.0717) loss_d 0.0014 (0.0070) lr 0.0005 epoch [9/25][280/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:41:08 loss_g -3.4386 (-3.1230) loss_f 0.2586 (0.0717) loss_d 0.0086 (0.0070) lr 0.0005 epoch [9/25][290/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:40:59 loss_g -2.3085 (-3.1142) loss_f 0.0241 (0.0719) loss_d 0.0285 (0.0070) lr 0.0005 epoch [9/25][300/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:40:51 loss_g -3.3186 (-3.1045) loss_f 0.0453 (0.0712) loss_d 0.0168 (0.0069) lr 0.0005 epoch [9/25][310/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:40:43 loss_g -4.0506 (-3.1036) loss_f 0.0689 (0.0706) loss_d 0.0041 (0.0077) lr 0.0005 epoch [9/25][320/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:40:34 loss_g -1.4499 (-3.0935) loss_f 0.0825 (0.0711) loss_d 0.0014 (0.0075) lr 0.0005 epoch [9/25][330/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:40:26 loss_g -3.7391 (-3.1037) loss_f 0.0505 (0.0713) loss_d 0.0006 (0.0075) lr 0.0005 epoch [9/25][340/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:40:18 loss_g -4.7103 (-3.1184) loss_f 0.0405 (0.0707) loss_d 0.0007 (0.0074) lr 0.0005 epoch [9/25][350/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:40:09 loss_g -1.1488 (-3.1102) loss_f 0.0569 (0.0711) loss_d 0.0281 (0.0073) lr 0.0005 epoch [9/25][360/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:40:01 loss_g -3.4824 (-3.1038) loss_f 0.0076 (0.0715) loss_d 0.0014 (0.0072) lr 0.0005 epoch [9/25][370/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:39:52 loss_g -2.1334 (-3.1069) loss_f 0.0531 (0.0714) loss_d 0.0282 (0.0076) lr 0.0005 epoch [9/25][380/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:39:44 loss_g -3.0745 (-3.1117) loss_f 0.0221 (0.0705) loss_d 0.0011 (0.0075) lr 0.0005 epoch [9/25][390/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:39:35 loss_g -2.2391 (-3.1023) loss_f 0.0038 (0.0699) loss_d 0.0071 (0.0074) lr 0.0005 epoch [9/25][400/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:39:27 loss_g -2.5580 (-3.1041) loss_f 0.2404 (0.0703) loss_d 0.0034 (0.0073) lr 0.0005 epoch [9/25][410/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:39:19 loss_g -2.7501 (-3.1000) loss_f 0.0827 (0.0696) loss_d 0.0014 (0.0072) lr 0.0005 epoch [9/25][420/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:39:10 loss_g -4.1450 (-3.1122) loss_f 0.0363 (0.0698) loss_d 0.0007 (0.0071) lr 0.0005 epoch [9/25][430/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:39:02 loss_g -1.6239 (-3.1123) loss_f 0.1629 (0.0695) loss_d 0.0140 (0.0073) lr 0.0005 epoch [9/25][440/446] time 0.833 (0.831) data 0.000 (0.001) eta 1:38:54 loss_g -3.1072 (-3.1226) loss_f 0.0179 (0.0703) loss_d 0.0011 (0.0071) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,617 * accuracy: 78.96% * error: 21.04% epoch [10/25][10/446] time 0.833 (0.852) data 0.000 (0.020) eta 1:41:10 loss_g -3.5289 (-3.2891) loss_f 0.1047 (0.0835) loss_d 0.0040 (0.0029) lr 0.0005 epoch [10/25][20/446] time 0.832 (0.841) data 0.000 (0.010) eta 1:39:44 loss_g -3.3970 (-3.4502) loss_f 0.0881 (0.1094) loss_d 0.0014 (0.0026) lr 0.0005 epoch [10/25][30/446] time 0.833 (0.838) data 0.000 (0.007) eta 1:39:13 loss_g -2.8104 (-3.3247) loss_f 0.0264 (0.0957) loss_d 0.0113 (0.0037) lr 0.0005 epoch [10/25][40/446] time 0.832 (0.836) data 0.000 (0.005) eta 1:38:52 loss_g -2.4958 (-3.3080) loss_f 0.0124 (0.0847) loss_d 0.0032 (0.0038) lr 0.0005 epoch [10/25][50/446] time 0.832 (0.835) data 0.000 (0.004) eta 1:38:37 loss_g -2.8642 (-3.3488) loss_f 0.1334 (0.0787) loss_d 0.0097 (0.0041) lr 0.0005 epoch [10/25][60/446] time 0.833 (0.835) data 0.000 (0.003) eta 1:38:25 loss_g -4.3317 (-3.3617) loss_f 0.0203 (0.0736) loss_d 0.0005 (0.0038) lr 0.0005 epoch [10/25][70/446] time 0.826 (0.834) data 0.000 (0.003) eta 1:38:11 loss_g -3.3728 (-3.3350) loss_f 0.0315 (0.0745) loss_d 0.0005 (0.0038) lr 0.0005 epoch [10/25][80/446] time 0.832 (0.834) data 0.000 (0.003) eta 1:38:01 loss_g -1.2825 (-3.2831) loss_f 0.0192 (0.0750) loss_d 0.0028 (0.0037) lr 0.0005 epoch [10/25][90/446] time 0.829 (0.833) data 0.000 (0.002) eta 1:37:51 loss_g -3.0649 (-3.2088) loss_f 0.0333 (0.0726) loss_d 0.0061 (0.0039) lr 0.0005 epoch [10/25][100/446] time 0.831 (0.833) data 0.000 (0.002) eta 1:37:41 loss_g -3.5529 (-3.2213) loss_f 0.0227 (0.0723) loss_d 0.0004 (0.0046) lr 0.0005 epoch [10/25][110/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:37:31 loss_g -3.8782 (-3.2505) loss_f 0.0238 (0.0699) loss_d 0.0002 (0.0043) lr 0.0005 epoch [10/25][120/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:37:21 loss_g -2.4036 (-3.2172) loss_f 0.2127 (0.0687) loss_d 0.0011 (0.0046) lr 0.0005 epoch [10/25][130/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:37:13 loss_g -5.1206 (-3.2019) loss_f 0.0397 (0.0682) loss_d 0.0030 (0.0045) lr 0.0005 epoch [10/25][140/446] time 0.829 (0.833) data 0.000 (0.002) eta 1:37:04 loss_g -3.6378 (-3.2135) loss_f 0.0930 (0.0680) loss_d 0.0005 (0.0043) lr 0.0005 epoch [10/25][150/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:36:54 loss_g -2.9642 (-3.2268) loss_f 0.0270 (0.0682) loss_d 0.0016 (0.0042) lr 0.0005 epoch [10/25][160/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:36:46 loss_g -2.8121 (-3.2153) loss_f 0.0296 (0.0674) loss_d 0.0003 (0.0041) lr 0.0005 epoch [10/25][170/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:36:36 loss_g -2.9038 (-3.1994) loss_f 0.0391 (0.0653) loss_d 0.0004 (0.0039) lr 0.0005 epoch [10/25][180/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:36:27 loss_g -2.3392 (-3.2151) loss_f 0.0323 (0.0679) loss_d 0.0023 (0.0059) lr 0.0005 epoch [10/25][190/446] time 0.825 (0.832) data 0.000 (0.001) eta 1:36:18 loss_g -3.7542 (-3.2090) loss_f 0.0525 (0.0677) loss_d 0.0006 (0.0056) lr 0.0005 epoch [10/25][200/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:36:09 loss_g -1.7949 (-3.1673) loss_f 0.0588 (0.0679) loss_d 0.0010 (0.0055) lr 0.0005 epoch [10/25][210/446] time 0.825 (0.832) data 0.000 (0.001) eta 1:36:00 loss_g -3.4085 (-3.1459) loss_f 0.0242 (0.0675) loss_d 0.0018 (0.0055) lr 0.0005 epoch [10/25][220/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:35:51 loss_g -2.5255 (-3.1484) loss_f 0.0970 (0.0685) loss_d 0.0020 (0.0053) lr 0.0005 epoch [10/25][230/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:35:43 loss_g -2.3500 (-3.1472) loss_f 0.0307 (0.0679) loss_d 0.0012 (0.0052) lr 0.0005 epoch [10/25][240/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:35:34 loss_g -4.2211 (-3.1490) loss_f 0.0353 (0.0687) loss_d 0.0005 (0.0051) lr 0.0005 epoch [10/25][250/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:35:26 loss_g -2.9575 (-3.1428) loss_f 0.0213 (0.0670) loss_d 0.0009 (0.0050) lr 0.0005 epoch [10/25][260/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:35:18 loss_g -4.7536 (-3.1518) loss_f 0.0261 (0.0672) loss_d 0.0011 (0.0049) lr 0.0005 epoch [10/25][270/446] time 0.828 (0.832) data 0.000 (0.001) eta 1:35:09 loss_g -3.5268 (-3.1478) loss_f 0.0322 (0.0662) loss_d 0.0004 (0.0049) lr 0.0005 epoch [10/25][280/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:35:01 loss_g -2.7248 (-3.1605) loss_f 0.0619 (0.0674) loss_d 0.0006 (0.0048) lr 0.0005 epoch [10/25][290/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:34:52 loss_g -1.6047 (-3.1642) loss_f 0.0145 (0.0671) loss_d 0.0088 (0.0048) lr 0.0005 epoch [10/25][300/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:34:43 loss_g -4.1089 (-3.1673) loss_f 0.0346 (0.0675) loss_d 0.0006 (0.0046) lr 0.0005 epoch [10/25][310/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:34:35 loss_g -4.0369 (-3.1748) loss_f 0.0577 (0.0665) loss_d 0.0132 (0.0046) lr 0.0005 epoch [10/25][320/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:34:27 loss_g -2.9139 (-3.1886) loss_f 0.0373 (0.0665) loss_d 0.0010 (0.0045) lr 0.0005 epoch [10/25][330/446] time 0.833 (0.831) data 0.000 (0.001) eta 1:34:18 loss_g -4.6954 (-3.1987) loss_f 0.1037 (0.0656) loss_d 0.0018 (0.0045) lr 0.0005 epoch [10/25][340/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:34:10 loss_g -1.3285 (-3.1989) loss_f 0.0085 (0.0653) loss_d 0.0044 (0.0044) lr 0.0005 epoch [10/25][350/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:34:02 loss_g -3.6300 (-3.1964) loss_f 0.1120 (0.0647) loss_d 0.0003 (0.0043) lr 0.0005 epoch [10/25][360/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:33:53 loss_g -3.9362 (-3.2045) loss_f 0.0946 (0.0656) loss_d 0.0005 (0.0043) lr 0.0005 epoch [10/25][370/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:33:45 loss_g -3.2998 (-3.2124) loss_f 0.0269 (0.0647) loss_d 0.0008 (0.0043) lr 0.0005 epoch [10/25][380/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:33:36 loss_g -5.4556 (-3.2059) loss_f 0.0832 (0.0642) loss_d 0.0047 (0.0042) lr 0.0005 epoch [10/25][390/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:33:28 loss_g -1.9636 (-3.2004) loss_f 0.0966 (0.0635) loss_d 0.0009 (0.0041) lr 0.0005 epoch [10/25][400/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:33:20 loss_g -3.4763 (-3.2180) loss_f 0.0634 (0.0631) loss_d 0.0004 (0.0043) lr 0.0005 epoch [10/25][410/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:33:11 loss_g -3.6645 (-3.2231) loss_f 0.2553 (0.0632) loss_d 0.2167 (0.0048) lr 0.0005 epoch [10/25][420/446] time 0.833 (0.831) data 0.000 (0.001) eta 1:33:03 loss_g -3.1428 (-3.2267) loss_f 0.0250 (0.0631) loss_d 0.0240 (0.0048) lr 0.0005 epoch [10/25][430/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:32:54 loss_g -4.3810 (-3.2343) loss_f 0.0592 (0.0628) loss_d 0.0030 (0.0047) lr 0.0005 epoch [10/25][440/446] time 0.833 (0.831) data 0.000 (0.001) eta 1:32:46 loss_g -2.2048 (-3.2321) loss_f 0.0556 (0.0620) loss_d 0.0044 (0.0048) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,582 * accuracy: 77.25% * error: 22.75% epoch [11/25][10/446] time 0.832 (0.851) data 0.000 (0.022) eta 1:34:46 loss_g -4.7434 (-3.7941) loss_f 0.0103 (0.0405) loss_d 0.0015 (0.0045) lr 0.0005 epoch [11/25][20/446] time 0.828 (0.841) data 0.000 (0.011) eta 1:33:30 loss_g -4.0150 (-3.5647) loss_f 0.0823 (0.0379) loss_d 0.0009 (0.0029) lr 0.0005 epoch [11/25][30/446] time 0.833 (0.838) data 0.000 (0.007) eta 1:32:59 loss_g -3.8056 (-3.6609) loss_f 0.0224 (0.0412) loss_d 0.0004 (0.0028) lr 0.0005 epoch [11/25][40/446] time 0.829 (0.836) data 0.000 (0.006) eta 1:32:40 loss_g -3.7141 (-3.6286) loss_f 0.0101 (0.0439) loss_d 0.0005 (0.0044) lr 0.0005 epoch [11/25][50/446] time 0.831 (0.835) data 0.000 (0.004) eta 1:32:23 loss_g -3.5733 (-3.5016) loss_f 0.0108 (0.0543) loss_d 0.0025 (0.0037) lr 0.0005 epoch [11/25][60/446] time 0.832 (0.834) data 0.000 (0.004) eta 1:32:10 loss_g -3.0587 (-3.4880) loss_f 0.0187 (0.0531) loss_d 0.0143 (0.0039) lr 0.0005 epoch [11/25][70/446] time 0.832 (0.834) data 0.000 (0.003) eta 1:32:00 loss_g -3.9757 (-3.4023) loss_f 0.0045 (0.0543) loss_d 0.0026 (0.0047) lr 0.0005 epoch [11/25][80/446] time 0.833 (0.833) data 0.000 (0.003) eta 1:31:49 loss_g -3.0094 (-3.4056) loss_f 0.0137 (0.0564) loss_d 0.0059 (0.0044) lr 0.0005 epoch [11/25][90/446] time 0.833 (0.833) data 0.000 (0.002) eta 1:31:39 loss_g -4.2403 (-3.3745) loss_f 0.0431 (0.0549) loss_d 0.0003 (0.0044) lr 0.0005 epoch [11/25][100/446] time 0.831 (0.833) data 0.000 (0.002) eta 1:31:29 loss_g -3.8583 (-3.3549) loss_f 0.0073 (0.0547) loss_d 0.0005 (0.0041) lr 0.0005 epoch [11/25][110/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:31:19 loss_g -3.4568 (-3.3226) loss_f 0.0261 (0.0571) loss_d 0.0004 (0.0038) lr 0.0005 epoch [11/25][120/446] time 0.830 (0.833) data 0.000 (0.002) eta 1:31:10 loss_g -2.8881 (-3.3031) loss_f 0.0298 (0.0577) loss_d 0.0013 (0.0044) lr 0.0005 epoch [11/25][130/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:31:00 loss_g -2.1348 (-3.3441) loss_f 0.0225 (0.0579) loss_d 0.0015 (0.0044) lr 0.0005 epoch [11/25][140/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:30:52 loss_g -3.5193 (-3.3322) loss_f 0.0886 (0.0573) loss_d 0.0009 (0.0044) lr 0.0005 epoch [11/25][150/446] time 0.831 (0.832) data 0.000 (0.002) eta 1:30:43 loss_g -5.4426 (-3.3802) loss_f 0.0054 (0.0557) loss_d 0.0077 (0.0043) lr 0.0005 epoch [11/25][160/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:30:34 loss_g -4.7198 (-3.4158) loss_f 0.0261 (0.0557) loss_d 0.0003 (0.0041) lr 0.0005 epoch [11/25][170/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:30:25 loss_g -0.9267 (-3.4460) loss_f 0.0240 (0.0550) loss_d 0.0189 (0.0041) lr 0.0005 epoch [11/25][180/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:30:16 loss_g -3.1549 (-3.4401) loss_f 0.0109 (0.0544) loss_d 0.0005 (0.0043) lr 0.0005 epoch [11/25][190/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:30:08 loss_g -3.0095 (-3.4424) loss_f 0.2957 (0.0556) loss_d 0.0078 (0.0042) lr 0.0005 epoch [11/25][200/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:29:59 loss_g -5.4566 (-3.4648) loss_f 0.0144 (0.0543) loss_d 0.0016 (0.0041) lr 0.0005 epoch [11/25][210/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:29:51 loss_g -2.4175 (-3.4449) loss_f 0.1435 (0.0547) loss_d 0.0007 (0.0043) lr 0.0005 epoch [11/25][220/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:29:42 loss_g -1.6724 (-3.4417) loss_f 0.2536 (0.0575) loss_d 0.0020 (0.0042) lr 0.0005 epoch [11/25][230/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:29:34 loss_g -2.0736 (-3.4432) loss_f 0.0302 (0.0562) loss_d 0.0017 (0.0047) lr 0.0005 epoch [11/25][240/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:29:25 loss_g -1.9144 (-3.4262) loss_f 0.0164 (0.0567) loss_d 0.0023 (0.0045) lr 0.0005 epoch [11/25][250/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:29:17 loss_g -4.1079 (-3.4359) loss_f 0.0149 (0.0557) loss_d 0.0010 (0.0047) lr 0.0005 epoch [11/25][260/446] time 0.825 (0.832) data 0.000 (0.001) eta 1:29:08 loss_g -3.4796 (-3.4280) loss_f 0.0665 (0.0551) loss_d 0.0004 (0.0046) lr 0.0005 epoch [11/25][270/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:29:00 loss_g -2.4897 (-3.4090) loss_f 0.1027 (0.0553) loss_d 0.0720 (0.0048) lr 0.0005 epoch [11/25][280/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:28:52 loss_g -3.8797 (-3.4180) loss_f 0.0360 (0.0543) loss_d 0.0002 (0.0047) lr 0.0005 epoch [11/25][290/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:28:43 loss_g -4.4649 (-3.4134) loss_f 0.0433 (0.0533) loss_d 0.0027 (0.0047) lr 0.0005 epoch [11/25][300/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:28:35 loss_g -4.5656 (-3.4255) loss_f 0.0870 (0.0527) loss_d 0.0008 (0.0046) lr 0.0005 epoch [11/25][310/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:28:26 loss_g -2.0129 (-3.4211) loss_f 0.0147 (0.0518) loss_d 0.0009 (0.0047) lr 0.0005 epoch [11/25][320/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:28:18 loss_g -4.4567 (-3.4345) loss_f 0.0083 (0.0524) loss_d 0.0013 (0.0048) lr 0.0005 epoch [11/25][330/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:28:09 loss_g -1.2796 (-3.4339) loss_f 0.0430 (0.0527) loss_d 0.0333 (0.0051) lr 0.0005 epoch [11/25][340/446] time 0.827 (0.832) data 0.000 (0.001) eta 1:28:01 loss_g -3.2498 (-3.4341) loss_f 0.0417 (0.0525) loss_d 0.0019 (0.0052) lr 0.0005 epoch [11/25][350/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:27:52 loss_g -3.6561 (-3.4256) loss_f 0.1549 (0.0531) loss_d 0.0005 (0.0052) lr 0.0005 epoch [11/25][360/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:27:44 loss_g -2.7097 (-3.4228) loss_f 0.0133 (0.0531) loss_d 0.0012 (0.0051) lr 0.0005 epoch [11/25][370/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:27:35 loss_g -5.3466 (-3.4260) loss_f 0.0096 (0.0546) loss_d 0.0028 (0.0050) lr 0.0005 epoch [11/25][380/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:27:26 loss_g -4.3531 (-3.4356) loss_f 0.0160 (0.0544) loss_d 0.0022 (0.0052) lr 0.0005 epoch [11/25][390/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:27:18 loss_g -3.8619 (-3.4328) loss_f 0.1025 (0.0541) loss_d 0.0021 (0.0052) lr 0.0005 epoch [11/25][400/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:27:09 loss_g -2.6403 (-3.4355) loss_f 0.0266 (0.0553) loss_d 0.0015 (0.0051) lr 0.0005 epoch [11/25][410/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:27:01 loss_g -2.9359 (-3.4421) loss_f 0.0957 (0.0552) loss_d 0.0009 (0.0051) lr 0.0005 epoch [11/25][420/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:26:53 loss_g -3.2082 (-3.4416) loss_f 0.0424 (0.0548) loss_d 0.0014 (0.0050) lr 0.0005 epoch [11/25][430/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:26:44 loss_g -2.1171 (-3.4479) loss_f 0.1043 (0.0555) loss_d 0.0008 (0.0052) lr 0.0005 epoch [11/25][440/446] time 0.833 (0.831) data 0.000 (0.001) eta 1:26:36 loss_g -2.2756 (-3.4344) loss_f 0.1404 (0.0561) loss_d 0.0007 (0.0052) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,558 * accuracy: 76.07% * error: 23.93% epoch [12/25][10/446] time 0.831 (0.851) data 0.000 (0.020) eta 1:28:24 loss_g -3.8947 (-3.7870) loss_f 0.0690 (0.0425) loss_d 0.0004 (0.0072) lr 0.0005 epoch [12/25][20/446] time 0.832 (0.841) data 0.000 (0.010) eta 1:27:16 loss_g -3.0680 (-3.6297) loss_f 0.0981 (0.0457) loss_d 0.0012 (0.0048) lr 0.0005 epoch [12/25][30/446] time 0.828 (0.838) data 0.000 (0.007) eta 1:26:46 loss_g -3.8269 (-3.6190) loss_f 0.0076 (0.0368) loss_d 0.0050 (0.0053) lr 0.0005 epoch [12/25][40/446] time 0.832 (0.836) data 0.000 (0.005) eta 1:26:27 loss_g -4.4524 (-3.7097) loss_f 0.0576 (0.0418) loss_d 0.0008 (0.0050) lr 0.0005 epoch [12/25][50/446] time 0.832 (0.835) data 0.000 (0.004) eta 1:26:13 loss_g -4.9559 (-3.7270) loss_f 0.0229 (0.0499) loss_d 0.0004 (0.0041) lr 0.0005 epoch [12/25][60/446] time 0.831 (0.834) data 0.000 (0.003) eta 1:25:59 loss_g -4.5168 (-3.8503) loss_f 0.0098 (0.0479) loss_d 0.0019 (0.0038) lr 0.0005 epoch [12/25][70/446] time 0.833 (0.834) data 0.000 (0.003) eta 1:25:48 loss_g -4.4648 (-3.8539) loss_f 0.0136 (0.0447) loss_d 0.0002 (0.0036) lr 0.0005 epoch [12/25][80/446] time 0.830 (0.834) data 0.000 (0.003) eta 1:25:38 loss_g -5.4610 (-3.8438) loss_f 0.0154 (0.0427) loss_d 0.0002 (0.0035) lr 0.0005 epoch [12/25][90/446] time 0.834 (0.833) data 0.000 (0.002) eta 1:25:27 loss_g -3.9296 (-3.8221) loss_f 0.0214 (0.0424) loss_d 0.0002 (0.0032) lr 0.0005 epoch [12/25][100/446] time 0.830 (0.833) data 0.000 (0.002) eta 1:25:17 loss_g -4.9832 (-3.8081) loss_f 0.0366 (0.0420) loss_d 0.0014 (0.0030) lr 0.0005 epoch [12/25][110/446] time 0.831 (0.833) data 0.000 (0.002) eta 1:25:07 loss_g -0.8650 (-3.8125) loss_f 0.0073 (0.0409) loss_d 0.0014 (0.0046) lr 0.0005 epoch [12/25][120/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:24:58 loss_g -2.1720 (-3.7365) loss_f 0.0229 (0.0407) loss_d 0.0021 (0.0049) lr 0.0005 epoch [12/25][130/446] time 0.833 (0.832) data 0.000 (0.002) eta 1:24:49 loss_g -4.3771 (-3.7211) loss_f 0.1166 (0.0410) loss_d 0.0014 (0.0047) lr 0.0005 epoch [12/25][140/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:24:40 loss_g -4.8896 (-3.7480) loss_f 0.0043 (0.0417) loss_d 0.0039 (0.0046) lr 0.0005 epoch [12/25][150/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:24:31 loss_g -2.8097 (-3.7504) loss_f 0.0206 (0.0414) loss_d 0.0195 (0.0046) lr 0.0005 epoch [12/25][160/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:24:22 loss_g -3.9424 (-3.7132) loss_f 0.0821 (0.0419) loss_d 0.0040 (0.0045) lr 0.0005 epoch [12/25][170/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:24:14 loss_g -3.0974 (-3.6496) loss_f 0.0312 (0.0430) loss_d 0.0092 (0.0045) lr 0.0005 epoch [12/25][180/446] time 0.825 (0.832) data 0.000 (0.001) eta 1:24:05 loss_g -3.1951 (-3.6598) loss_f 0.0562 (0.0427) loss_d 0.0002 (0.0045) lr 0.0005 epoch [12/25][190/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:23:56 loss_g -4.1730 (-3.6537) loss_f 0.0123 (0.0418) loss_d 0.0004 (0.0054) lr 0.0005 epoch [12/25][200/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:23:48 loss_g -3.4323 (-3.6284) loss_f 0.0381 (0.0411) loss_d 0.0011 (0.0052) lr 0.0005 epoch [12/25][210/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:23:39 loss_g -3.4913 (-3.6177) loss_f 0.0146 (0.0436) loss_d 0.0006 (0.0050) lr 0.0005 epoch [12/25][220/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:23:30 loss_g -2.3065 (-3.6312) loss_f 0.0057 (0.0428) loss_d 0.0011 (0.0048) lr 0.0005 epoch [12/25][230/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:23:22 loss_g -3.9633 (-3.6265) loss_f 0.0553 (0.0447) loss_d 0.0004 (0.0047) lr 0.0005 epoch [12/25][240/446] time 0.826 (0.832) data 0.000 (0.001) eta 1:23:13 loss_g -2.6462 (-3.6253) loss_f 0.0060 (0.0447) loss_d 0.0002 (0.0048) lr 0.0005 epoch [12/25][250/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:23:05 loss_g -4.3232 (-3.6264) loss_f 0.0083 (0.0444) loss_d 0.0003 (0.0046) lr 0.0005 epoch [12/25][260/446] time 0.826 (0.832) data 0.000 (0.001) eta 1:22:57 loss_g -2.5931 (-3.6264) loss_f 0.0049 (0.0470) loss_d 0.0001 (0.0045) lr 0.0005 epoch [12/25][270/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:22:48 loss_g -4.8686 (-3.6264) loss_f 0.0244 (0.0473) loss_d 0.0021 (0.0045) lr 0.0005 epoch [12/25][280/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:22:40 loss_g -5.6530 (-3.6263) loss_f 0.0238 (0.0467) loss_d 0.0775 (0.0047) lr 0.0005 epoch [12/25][290/446] time 0.823 (0.832) data 0.000 (0.001) eta 1:22:31 loss_g -5.1851 (-3.6324) loss_f 0.0135 (0.0464) loss_d 0.0011 (0.0046) lr 0.0005 epoch [12/25][300/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:22:22 loss_g -3.2292 (-3.6272) loss_f 0.0780 (0.0463) loss_d 0.0003 (0.0046) lr 0.0005 epoch [12/25][310/446] time 0.827 (0.831) data 0.000 (0.001) eta 1:22:14 loss_g -2.1024 (-3.6285) loss_f 0.0333 (0.0464) loss_d 0.0364 (0.0046) lr 0.0005 epoch [12/25][320/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:22:05 loss_g -0.6796 (-3.6009) loss_f 0.1521 (0.0463) loss_d 0.0043 (0.0045) lr 0.0005 epoch [12/25][330/446] time 0.829 (0.831) data 0.000 (0.001) eta 1:21:57 loss_g -6.1533 (-3.5908) loss_f 0.0022 (0.0459) loss_d 0.0009 (0.0045) lr 0.0005 epoch [12/25][340/446] time 0.830 (0.831) data 0.000 (0.001) eta 1:21:48 loss_g -4.5746 (-3.5977) loss_f 0.0244 (0.0455) loss_d 0.0002 (0.0044) lr 0.0005 epoch [12/25][350/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:21:40 loss_g -2.6684 (-3.6100) loss_f 0.0095 (0.0450) loss_d 0.0002 (0.0043) lr 0.0005 epoch [12/25][360/446] time 0.827 (0.831) data 0.000 (0.001) eta 1:21:32 loss_g -1.8914 (-3.6042) loss_f 0.0828 (0.0448) loss_d 0.0006 (0.0043) lr 0.0005 epoch [12/25][370/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:21:23 loss_g -1.3338 (-3.5905) loss_f 0.0119 (0.0447) loss_d 0.1147 (0.0046) lr 0.0005 epoch [12/25][380/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:21:15 loss_g -2.1970 (-3.5794) loss_f 0.0337 (0.0457) loss_d 0.0004 (0.0045) lr 0.0005 epoch [12/25][390/446] time 0.826 (0.831) data 0.000 (0.001) eta 1:21:07 loss_g -5.0030 (-3.5940) loss_f 0.0215 (0.0457) loss_d 0.0005 (0.0047) lr 0.0005 epoch [12/25][400/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:20:59 loss_g -3.8695 (-3.6044) loss_f 0.0053 (0.0451) loss_d 0.0040 (0.0047) lr 0.0005 epoch [12/25][410/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:20:50 loss_g -3.3875 (-3.5969) loss_f 0.0204 (0.0451) loss_d 0.0020 (0.0047) lr 0.0005 epoch [12/25][420/446] time 0.833 (0.831) data 0.000 (0.001) eta 1:20:42 loss_g -5.0125 (-3.6059) loss_f 0.2635 (0.0452) loss_d 0.0027 (0.0049) lr 0.0005 epoch [12/25][430/446] time 0.833 (0.831) data 0.000 (0.001) eta 1:20:34 loss_g -3.8263 (-3.6029) loss_f 0.0562 (0.0450) loss_d 0.0021 (0.0049) lr 0.0005 epoch [12/25][440/446] time 0.833 (0.831) data 0.000 (0.001) eta 1:20:25 loss_g -3.5081 (-3.6030) loss_f 0.0201 (0.0451) loss_d 0.0018 (0.0050) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,554 * accuracy: 75.88% * error: 24.12% epoch [13/25][10/446] time 0.829 (0.849) data 0.000 (0.019) eta 1:21:51 loss_g -2.2067 (-3.6293) loss_f 0.0994 (0.0416) loss_d 0.0019 (0.0019) lr 0.0005 epoch [13/25][20/446] time 0.832 (0.840) data 0.000 (0.009) eta 1:20:55 loss_g -3.2640 (-3.6507) loss_f 0.0036 (0.0274) loss_d 0.0003 (0.0020) lr 0.0005 epoch [13/25][30/446] time 0.827 (0.837) data 0.000 (0.006) eta 1:20:28 loss_g -2.4552 (-3.6994) loss_f 0.0600 (0.0297) loss_d 0.0249 (0.0028) lr 0.0005 epoch [13/25][40/446] time 0.831 (0.836) data 0.000 (0.005) eta 1:20:11 loss_g -5.0337 (-3.6606) loss_f 0.0222 (0.0322) loss_d 0.0090 (0.0030) lr 0.0005 epoch [13/25][50/446] time 0.834 (0.835) data 0.000 (0.004) eta 1:19:59 loss_g -4.8202 (-3.6287) loss_f 0.0027 (0.0347) loss_d 0.0106 (0.0027) lr 0.0005 epoch [13/25][60/446] time 0.827 (0.834) data 0.000 (0.003) eta 1:19:47 loss_g -3.9738 (-3.6613) loss_f 0.1485 (0.0403) loss_d 0.0050 (0.0027) lr 0.0005 epoch [13/25][70/446] time 0.832 (0.834) data 0.000 (0.003) eta 1:19:36 loss_g -3.5352 (-3.7198) loss_f 0.0057 (0.0405) loss_d 0.0022 (0.0027) lr 0.0005 epoch [13/25][80/446] time 0.832 (0.834) data 0.000 (0.002) eta 1:19:26 loss_g -4.1906 (-3.7102) loss_f 0.0086 (0.0378) loss_d 0.0008 (0.0024) lr 0.0005 epoch [13/25][90/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:19:17 loss_g -3.3213 (-3.6676) loss_f 0.0372 (0.0374) loss_d 0.0009 (0.0024) lr 0.0005 epoch [13/25][100/446] time 0.833 (0.833) data 0.000 (0.002) eta 1:19:07 loss_g -3.6055 (-3.6881) loss_f 0.0143 (0.0373) loss_d 0.0004 (0.0025) lr 0.0005 epoch [13/25][110/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:18:58 loss_g -3.4154 (-3.7168) loss_f 0.0126 (0.0380) loss_d 0.0036 (0.0026) lr 0.0005 epoch [13/25][120/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:18:48 loss_g -4.8679 (-3.7167) loss_f 0.0428 (0.0375) loss_d 0.0011 (0.0025) lr 0.0005 epoch [13/25][130/446] time 0.833 (0.833) data 0.000 (0.002) eta 1:18:40 loss_g -2.1853 (-3.7155) loss_f 0.0115 (0.0390) loss_d 0.0003 (0.0025) lr 0.0005 epoch [13/25][140/446] time 0.832 (0.833) data 0.000 (0.001) eta 1:18:31 loss_g -3.6456 (-3.7040) loss_f 0.1634 (0.0387) loss_d 0.0024 (0.0024) lr 0.0005 epoch [13/25][150/446] time 0.831 (0.833) data 0.000 (0.001) eta 1:18:22 loss_g -5.3537 (-3.7135) loss_f 0.0048 (0.0381) loss_d 0.0001 (0.0024) lr 0.0005 epoch [13/25][160/446] time 0.831 (0.833) data 0.000 (0.001) eta 1:18:13 loss_g -3.4480 (-3.7398) loss_f 0.0344 (0.0373) loss_d 0.0001 (0.0023) lr 0.0005 epoch [13/25][170/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:18:05 loss_g -4.3641 (-3.7291) loss_f 0.0029 (0.0375) loss_d 0.0180 (0.0026) lr 0.0005 epoch [13/25][180/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:17:56 loss_g -2.9438 (-3.7316) loss_f 0.0027 (0.0372) loss_d 0.0014 (0.0026) lr 0.0005 epoch [13/25][190/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:17:47 loss_g -2.7166 (-3.7127) loss_f 0.0391 (0.0370) loss_d 0.0003 (0.0026) lr 0.0005 epoch [13/25][200/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:17:39 loss_g -3.4120 (-3.7225) loss_f 0.0234 (0.0372) loss_d 0.0014 (0.0026) lr 0.0005 epoch [13/25][210/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:17:30 loss_g -4.3411 (-3.7332) loss_f 0.0247 (0.0369) loss_d 0.0007 (0.0027) lr 0.0005 epoch [13/25][220/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:17:21 loss_g -4.1293 (-3.7316) loss_f 0.0067 (0.0367) loss_d 0.0034 (0.0027) lr 0.0005 epoch [13/25][230/446] time 0.828 (0.832) data 0.000 (0.001) eta 1:17:13 loss_g -2.9405 (-3.7236) loss_f 0.0671 (0.0380) loss_d 0.0001 (0.0027) lr 0.0005 epoch [13/25][240/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:17:04 loss_g -4.3243 (-3.7313) loss_f 0.0032 (0.0376) loss_d 0.0040 (0.0027) lr 0.0005 epoch [13/25][250/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:16:56 loss_g -2.8280 (-3.7311) loss_f 0.0531 (0.0389) loss_d 0.0278 (0.0030) lr 0.0005 epoch [13/25][260/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:16:47 loss_g -4.2172 (-3.7440) loss_f 0.1005 (0.0388) loss_d 0.0015 (0.0031) lr 0.0005 epoch [13/25][270/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:16:39 loss_g -2.9820 (-3.7541) loss_f 0.0152 (0.0384) loss_d 0.0012 (0.0036) lr 0.0005 epoch [13/25][280/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:16:31 loss_g -1.8129 (-3.7614) loss_f 0.0037 (0.0386) loss_d 0.0036 (0.0036) lr 0.0005 epoch [13/25][290/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:16:22 loss_g -3.5642 (-3.7693) loss_f 0.0255 (0.0384) loss_d 0.0002 (0.0036) lr 0.0005 epoch [13/25][300/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:16:14 loss_g -2.5889 (-3.7607) loss_f 0.0407 (0.0384) loss_d 0.0010 (0.0035) lr 0.0005 epoch [13/25][310/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:16:05 loss_g -5.5316 (-3.7837) loss_f 0.0048 (0.0381) loss_d 0.0005 (0.0034) lr 0.0005 epoch [13/25][320/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:15:57 loss_g -2.7447 (-3.7781) loss_f 0.0014 (0.0383) loss_d 0.0003 (0.0034) lr 0.0005 epoch [13/25][330/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:15:48 loss_g -5.1066 (-3.7846) loss_f 0.0104 (0.0379) loss_d 0.0010 (0.0034) lr 0.0005 epoch [13/25][340/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:15:40 loss_g -5.2118 (-3.8004) loss_f 0.1663 (0.0382) loss_d 0.0002 (0.0035) lr 0.0005 epoch [13/25][350/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:15:31 loss_g -2.6525 (-3.8062) loss_f 0.0129 (0.0386) loss_d 0.0003 (0.0034) lr 0.0005 epoch [13/25][360/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:15:23 loss_g -6.0859 (-3.7936) loss_f 0.0070 (0.0384) loss_d 0.0145 (0.0035) lr 0.0005 epoch [13/25][370/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:15:14 loss_g -3.7890 (-3.8082) loss_f 0.0113 (0.0379) loss_d 0.0001 (0.0034) lr 0.0005 epoch [13/25][380/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:15:06 loss_g -3.2712 (-3.8180) loss_f 0.0320 (0.0377) loss_d 0.0001 (0.0034) lr 0.0005 epoch [13/25][390/446] time 0.826 (0.832) data 0.000 (0.001) eta 1:14:57 loss_g -2.2665 (-3.8230) loss_f 0.0314 (0.0373) loss_d 0.0007 (0.0033) lr 0.0005 epoch [13/25][400/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:14:49 loss_g -0.5448 (-3.8353) loss_f 0.0972 (0.0381) loss_d 0.0198 (0.0033) lr 0.0005 epoch [13/25][410/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:14:40 loss_g -4.3515 (-3.8433) loss_f 0.1326 (0.0384) loss_d 0.0002 (0.0035) lr 0.0005 epoch [13/25][420/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:14:32 loss_g -4.2668 (-3.8383) loss_f 0.0189 (0.0399) loss_d 0.0005 (0.0034) lr 0.0005 epoch [13/25][430/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:14:23 loss_g -4.2533 (-3.8438) loss_f 0.0290 (0.0395) loss_d 0.0126 (0.0034) lr 0.0005 epoch [13/25][440/446] time 0.830 (0.832) data 0.000 (0.000) eta 1:14:15 loss_g -3.2179 (-3.8461) loss_f 0.0856 (0.0398) loss_d 0.0007 (0.0034) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,557 * accuracy: 76.03% * error: 23.97% epoch [14/25][10/446] time 0.833 (0.851) data 0.000 (0.020) eta 1:15:47 loss_g -6.3268 (-3.8041) loss_f 0.0041 (0.0312) loss_d 0.0007 (0.0044) lr 0.0005 epoch [14/25][20/446] time 0.832 (0.841) data 0.000 (0.010) eta 1:14:45 loss_g -4.5178 (-3.9360) loss_f 0.0140 (0.0231) loss_d 0.0012 (0.0037) lr 0.0005 epoch [14/25][30/446] time 0.833 (0.838) data 0.000 (0.007) eta 1:14:17 loss_g -4.4614 (-4.1070) loss_f 0.0064 (0.0273) loss_d 0.0032 (0.0030) lr 0.0005 epoch [14/25][40/446] time 0.831 (0.836) data 0.000 (0.005) eta 1:14:01 loss_g -2.7354 (-3.9594) loss_f 0.1229 (0.0327) loss_d 0.0026 (0.0025) lr 0.0005 epoch [14/25][50/446] time 0.832 (0.835) data 0.000 (0.004) eta 1:13:48 loss_g -1.7958 (-3.8997) loss_f 0.0472 (0.0337) loss_d 0.0166 (0.0025) lr 0.0005 epoch [14/25][60/446] time 0.832 (0.834) data 0.000 (0.003) eta 1:13:36 loss_g -4.6881 (-3.8900) loss_f 0.0606 (0.0425) loss_d 0.0007 (0.0023) lr 0.0005 epoch [14/25][70/446] time 0.831 (0.834) data 0.000 (0.003) eta 1:13:24 loss_g -3.3500 (-3.9181) loss_f 0.0309 (0.0385) loss_d 0.0002 (0.0027) lr 0.0005 epoch [14/25][80/446] time 0.831 (0.834) data 0.000 (0.003) eta 1:13:14 loss_g -2.6812 (-3.8497) loss_f 0.0083 (0.0423) loss_d 0.0004 (0.0029) lr 0.0005 epoch [14/25][90/446] time 0.833 (0.833) data 0.000 (0.002) eta 1:13:04 loss_g -1.6376 (-3.8809) loss_f 0.0206 (0.0455) loss_d 0.0017 (0.0032) lr 0.0005 epoch [14/25][100/446] time 0.830 (0.833) data 0.000 (0.002) eta 1:12:56 loss_g -4.2688 (-3.8670) loss_f 0.0705 (0.0430) loss_d 0.0004 (0.0031) lr 0.0005 epoch [14/25][110/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:12:45 loss_g -5.0561 (-3.8830) loss_f 0.0055 (0.0417) loss_d 0.0002 (0.0029) lr 0.0005 epoch [14/25][120/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:12:37 loss_g -5.2674 (-3.9156) loss_f 0.0393 (0.0397) loss_d 0.0016 (0.0028) lr 0.0005 epoch [14/25][130/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:12:28 loss_g -4.8921 (-3.8945) loss_f 0.0586 (0.0445) loss_d 0.0007 (0.0026) lr 0.0005 epoch [14/25][140/446] time 0.832 (0.833) data 0.000 (0.001) eta 1:12:19 loss_g -3.2371 (-3.8866) loss_f 0.0320 (0.0438) loss_d 0.0686 (0.0031) lr 0.0005 epoch [14/25][150/446] time 0.832 (0.833) data 0.000 (0.001) eta 1:12:10 loss_g -1.6532 (-3.8899) loss_f 0.0130 (0.0439) loss_d 0.0008 (0.0030) lr 0.0005 epoch [14/25][160/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:12:02 loss_g -4.6322 (-3.8984) loss_f 0.0503 (0.0435) loss_d 0.0003 (0.0030) lr 0.0005 epoch [14/25][170/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:11:53 loss_g -2.9702 (-3.9231) loss_f 0.0021 (0.0431) loss_d 0.0004 (0.0029) lr 0.0005 epoch [14/25][180/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:11:44 loss_g -4.6158 (-3.9133) loss_f 0.0167 (0.0448) loss_d 0.0029 (0.0028) lr 0.0005 epoch [14/25][190/446] time 0.826 (0.832) data 0.000 (0.001) eta 1:11:36 loss_g -5.6150 (-3.9183) loss_f 0.0534 (0.0450) loss_d 0.0003 (0.0028) lr 0.0005 epoch [14/25][200/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:11:27 loss_g -4.4296 (-3.9125) loss_f 0.0724 (0.0475) loss_d 0.0003 (0.0028) lr 0.0005 epoch [14/25][210/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:11:18 loss_g -4.4327 (-3.9128) loss_f 0.0206 (0.0471) loss_d 0.0046 (0.0028) lr 0.0005 epoch [14/25][220/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:11:10 loss_g -6.4200 (-3.9305) loss_f 0.0529 (0.0461) loss_d 0.0010 (0.0027) lr 0.0005 epoch [14/25][230/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:11:01 loss_g -3.7617 (-3.9236) loss_f 0.3040 (0.0466) loss_d 0.0138 (0.0028) lr 0.0005 epoch [14/25][240/446] time 0.826 (0.832) data 0.000 (0.001) eta 1:10:53 loss_g -6.4078 (-3.9195) loss_f 0.0444 (0.0463) loss_d 0.0012 (0.0029) lr 0.0005 epoch [14/25][250/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:10:44 loss_g -5.6644 (-3.9181) loss_f 0.0114 (0.0452) loss_d 0.0021 (0.0029) lr 0.0005 epoch [14/25][260/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:10:36 loss_g -4.0418 (-3.9277) loss_f 0.0105 (0.0449) loss_d 0.0011 (0.0029) lr 0.0005 epoch [14/25][270/446] time 0.829 (0.832) data 0.000 (0.001) eta 1:10:27 loss_g -5.2034 (-3.9527) loss_f 0.0238 (0.0447) loss_d 0.0015 (0.0029) lr 0.0005 epoch [14/25][280/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:10:19 loss_g -4.2309 (-3.9490) loss_f 0.0269 (0.0441) loss_d 0.0003 (0.0028) lr 0.0005 epoch [14/25][290/446] time 0.826 (0.832) data 0.000 (0.001) eta 1:10:10 loss_g -3.9764 (-3.9563) loss_f 0.0224 (0.0438) loss_d 0.0002 (0.0027) lr 0.0005 epoch [14/25][300/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:10:02 loss_g -2.8849 (-3.9736) loss_f 0.0240 (0.0432) loss_d 0.0004 (0.0027) lr 0.0005 epoch [14/25][310/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:09:53 loss_g -3.2259 (-3.9702) loss_f 0.0208 (0.0433) loss_d 0.0003 (0.0026) lr 0.0005 epoch [14/25][320/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:09:45 loss_g -3.0573 (-3.9603) loss_f 0.0131 (0.0432) loss_d 0.0042 (0.0026) lr 0.0005 epoch [14/25][330/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:09:37 loss_g -2.4643 (-3.9525) loss_f 0.0071 (0.0438) loss_d 0.0010 (0.0026) lr 0.0005 epoch [14/25][340/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:09:28 loss_g -3.1361 (-3.9520) loss_f 0.0068 (0.0431) loss_d 0.0004 (0.0025) lr 0.0005 epoch [14/25][350/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:09:20 loss_g -4.8718 (-3.9546) loss_f 0.0684 (0.0431) loss_d 0.0008 (0.0025) lr 0.0005 epoch [14/25][360/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:09:11 loss_g -2.7911 (-3.9498) loss_f 0.0061 (0.0430) loss_d 0.0028 (0.0024) lr 0.0005 epoch [14/25][370/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:09:03 loss_g -2.2737 (-3.9476) loss_f 0.0584 (0.0431) loss_d 0.0270 (0.0025) lr 0.0005 epoch [14/25][380/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:08:54 loss_g -6.6753 (-3.9511) loss_f 0.0617 (0.0438) loss_d 0.0567 (0.0026) lr 0.0005 epoch [14/25][390/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:08:46 loss_g -3.6087 (-3.9571) loss_f 0.1296 (0.0442) loss_d 0.0001 (0.0025) lr 0.0005 epoch [14/25][400/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:08:38 loss_g -4.6065 (-3.9682) loss_f 0.0065 (0.0436) loss_d 0.0003 (0.0026) lr 0.0005 epoch [14/25][410/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:08:29 loss_g -4.0911 (-3.9626) loss_f 0.0154 (0.0445) loss_d 0.0011 (0.0025) lr 0.0005 epoch [14/25][420/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:08:21 loss_g -3.5114 (-3.9691) loss_f 0.0203 (0.0444) loss_d 0.0013 (0.0025) lr 0.0005 epoch [14/25][430/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:08:13 loss_g -3.8233 (-3.9781) loss_f 0.0190 (0.0442) loss_d 0.0001 (0.0025) lr 0.0005 epoch [14/25][440/446] time 0.833 (0.832) data 0.000 (0.001) eta 1:08:04 loss_g -5.2678 (-3.9759) loss_f 0.1064 (0.0442) loss_d 0.0012 (0.0024) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,565 * accuracy: 76.42% * error: 23.58% epoch [15/25][10/446] time 0.833 (0.856) data 0.000 (0.027) eta 1:09:53 loss_g -2.9234 (-4.1376) loss_f 0.1001 (0.0415) loss_d 0.0009 (0.0031) lr 0.0005 epoch [15/25][20/446] time 0.831 (0.843) data 0.000 (0.014) eta 1:08:39 loss_g -5.2676 (-4.2752) loss_f 0.0014 (0.0423) loss_d 0.0024 (0.0023) lr 0.0005 epoch [15/25][30/446] time 0.831 (0.839) data 0.000 (0.009) eta 1:08:11 loss_g -4.7499 (-4.1995) loss_f 0.0073 (0.0428) loss_d 0.0002 (0.0021) lr 0.0005 epoch [15/25][40/446] time 0.831 (0.837) data 0.000 (0.007) eta 1:07:52 loss_g -3.5582 (-4.0792) loss_f 0.0173 (0.0472) loss_d 0.0038 (0.0018) lr 0.0005 epoch [15/25][50/446] time 0.832 (0.836) data 0.000 (0.005) eta 1:07:38 loss_g -3.3337 (-4.0146) loss_f 0.0070 (0.0439) loss_d 0.0002 (0.0016) lr 0.0005 epoch [15/25][60/446] time 0.832 (0.835) data 0.000 (0.005) eta 1:07:26 loss_g -4.0975 (-4.0886) loss_f 0.0218 (0.0450) loss_d 0.0003 (0.0015) lr 0.0005 epoch [15/25][70/446] time 0.829 (0.834) data 0.000 (0.004) eta 1:07:13 loss_g -2.1462 (-4.0734) loss_f 0.0030 (0.0446) loss_d 0.0002 (0.0014) lr 0.0005 epoch [15/25][80/446] time 0.831 (0.834) data 0.000 (0.003) eta 1:07:03 loss_g -6.0614 (-4.0555) loss_f 0.0351 (0.0439) loss_d 0.0922 (0.0028) lr 0.0005 epoch [15/25][90/446] time 0.829 (0.833) data 0.000 (0.003) eta 1:06:52 loss_g -7.0153 (-4.1580) loss_f 0.0208 (0.0411) loss_d 0.0001 (0.0036) lr 0.0005 epoch [15/25][100/446] time 0.833 (0.833) data 0.000 (0.003) eta 1:06:43 loss_g -4.2883 (-4.1240) loss_f 0.0477 (0.0401) loss_d 0.0001 (0.0033) lr 0.0005 epoch [15/25][110/446] time 0.831 (0.833) data 0.000 (0.003) eta 1:06:34 loss_g -5.2861 (-4.1608) loss_f 0.0012 (0.0378) loss_d 0.0003 (0.0030) lr 0.0005 epoch [15/25][120/446] time 0.833 (0.833) data 0.000 (0.002) eta 1:06:25 loss_g -6.0760 (-4.1319) loss_f 0.0092 (0.0383) loss_d 0.0003 (0.0029) lr 0.0005 epoch [15/25][130/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:06:16 loss_g -7.1758 (-4.1340) loss_f 0.0111 (0.0371) loss_d 0.0002 (0.0028) lr 0.0005 epoch [15/25][140/446] time 0.826 (0.833) data 0.000 (0.002) eta 1:06:07 loss_g -3.0139 (-4.1270) loss_f 0.0068 (0.0373) loss_d 0.0021 (0.0027) lr 0.0005 epoch [15/25][150/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:05:59 loss_g -3.6165 (-4.1259) loss_f 0.0109 (0.0366) loss_d 0.0003 (0.0025) lr 0.0005 epoch [15/25][160/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:05:50 loss_g -4.6104 (-4.1744) loss_f 0.0025 (0.0362) loss_d 0.0003 (0.0024) lr 0.0005 epoch [15/25][170/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:05:41 loss_g -3.9442 (-4.1634) loss_f 0.0527 (0.0365) loss_d 0.0019 (0.0025) lr 0.0005 epoch [15/25][180/446] time 0.833 (0.832) data 0.000 (0.002) eta 1:05:33 loss_g -4.0028 (-4.1573) loss_f 0.0240 (0.0373) loss_d 0.0004 (0.0024) lr 0.0005 epoch [15/25][190/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:05:24 loss_g -4.4194 (-4.1567) loss_f 0.0502 (0.0381) loss_d 0.0001 (0.0023) lr 0.0005 epoch [15/25][200/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:05:16 loss_g -2.5222 (-4.1706) loss_f 0.0420 (0.0384) loss_d 0.0002 (0.0023) lr 0.0005 epoch [15/25][210/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:05:07 loss_g -5.7327 (-4.1818) loss_f 0.0038 (0.0379) loss_d 0.0001 (0.0024) lr 0.0005 epoch [15/25][220/446] time 0.827 (0.832) data 0.000 (0.001) eta 1:04:58 loss_g -3.7046 (-4.1618) loss_f 0.0015 (0.0370) loss_d 0.0001 (0.0025) lr 0.0005 epoch [15/25][230/446] time 0.828 (0.832) data 0.000 (0.001) eta 1:04:49 loss_g -3.5467 (-4.1841) loss_f 0.0162 (0.0363) loss_d 0.0002 (0.0024) lr 0.0005 epoch [15/25][240/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:04:41 loss_g -2.4016 (-4.2147) loss_f 0.1032 (0.0366) loss_d 0.0010 (0.0024) lr 0.0005 epoch [15/25][250/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:04:32 loss_g -3.6819 (-4.1859) loss_f 0.0455 (0.0363) loss_d 0.0004 (0.0025) lr 0.0005 epoch [15/25][260/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:04:24 loss_g -3.5345 (-4.1810) loss_f 0.0157 (0.0358) loss_d 0.0026 (0.0024) lr 0.0005 epoch [15/25][270/446] time 0.832 (0.832) data 0.000 (0.001) eta 1:04:15 loss_g -4.6024 (-4.1806) loss_f 0.0248 (0.0356) loss_d 0.0001 (0.0028) lr 0.0005 epoch [15/25][280/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:04:07 loss_g -4.3126 (-4.1859) loss_f 0.0083 (0.0353) loss_d 0.0003 (0.0027) lr 0.0005 epoch [15/25][290/446] time 0.830 (0.832) data 0.000 (0.001) eta 1:03:58 loss_g -4.4115 (-4.2050) loss_f 0.0192 (0.0351) loss_d 0.0013 (0.0026) lr 0.0005 epoch [15/25][300/446] time 0.831 (0.832) data 0.000 (0.001) eta 1:03:50 loss_g -4.6679 (-4.1857) loss_f 0.0064 (0.0357) loss_d 0.0002 (0.0027) lr 0.0005 epoch [15/25][310/446] time 0.826 (0.831) data 0.000 (0.001) eta 1:03:41 loss_g -3.8609 (-4.1933) loss_f 0.0163 (0.0359) loss_d 0.0001 (0.0027) lr 0.0005 epoch [15/25][320/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:03:33 loss_g -4.1236 (-4.1759) loss_f 0.0643 (0.0360) loss_d 0.0006 (0.0027) lr 0.0005 epoch [15/25][330/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:03:24 loss_g -4.1900 (-4.1877) loss_f 0.0381 (0.0359) loss_d 0.0003 (0.0027) lr 0.0005 epoch [15/25][340/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:03:16 loss_g -2.8275 (-4.1908) loss_f 0.0026 (0.0364) loss_d 0.0014 (0.0026) lr 0.0005 epoch [15/25][350/446] time 0.833 (0.831) data 0.000 (0.001) eta 1:03:07 loss_g -0.9993 (-4.1692) loss_f 0.0076 (0.0366) loss_d 0.0098 (0.0027) lr 0.0005 epoch [15/25][360/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:02:59 loss_g -4.3655 (-4.1741) loss_f 0.0245 (0.0360) loss_d 0.0002 (0.0027) lr 0.0005 epoch [15/25][370/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:02:51 loss_g -5.5676 (-4.1610) loss_f 0.0540 (0.0362) loss_d 0.0005 (0.0027) lr 0.0005 epoch [15/25][380/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:02:42 loss_g -2.7062 (-4.1597) loss_f 0.1132 (0.0364) loss_d 0.0042 (0.0026) lr 0.0005 epoch [15/25][390/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:02:34 loss_g -3.3871 (-4.1533) loss_f 0.1009 (0.0363) loss_d 0.0009 (0.0026) lr 0.0005 epoch [15/25][400/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:02:25 loss_g -5.7726 (-4.1522) loss_f 0.0307 (0.0360) loss_d 0.0994 (0.0029) lr 0.0005 epoch [15/25][410/446] time 0.828 (0.831) data 0.000 (0.001) eta 1:02:17 loss_g -6.7412 (-4.1568) loss_f 0.0080 (0.0363) loss_d 0.0021 (0.0029) lr 0.0005 epoch [15/25][420/446] time 0.831 (0.831) data 0.000 (0.001) eta 1:02:09 loss_g -3.6876 (-4.1518) loss_f 0.0112 (0.0372) loss_d 0.0004 (0.0028) lr 0.0005 epoch [15/25][430/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:02:00 loss_g -5.2780 (-4.1546) loss_f 0.0044 (0.0367) loss_d 0.0007 (0.0029) lr 0.0005 epoch [15/25][440/446] time 0.832 (0.831) data 0.000 (0.001) eta 1:01:52 loss_g -2.5487 (-4.1417) loss_f 0.0186 (0.0378) loss_d 0.0003 (0.0029) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,582 * accuracy: 77.25% * error: 22.75% epoch [16/25][10/446] time 0.833 (0.849) data 0.000 (0.020) eta 1:03:00 loss_g -3.7043 (-4.2297) loss_f 0.0077 (0.0261) loss_d 0.0042 (0.0143) lr 0.0005 epoch [16/25][20/446] time 0.832 (0.841) data 0.000 (0.010) eta 1:02:12 loss_g -6.2601 (-4.4297) loss_f 0.0172 (0.0296) loss_d 0.0034 (0.0087) lr 0.0005 epoch [16/25][30/446] time 0.829 (0.838) data 0.000 (0.007) eta 1:01:50 loss_g -4.4846 (-4.4553) loss_f 0.0052 (0.0244) loss_d 0.0012 (0.0064) lr 0.0005 epoch [16/25][40/446] time 0.831 (0.836) data 0.000 (0.005) eta 1:01:34 loss_g -3.6448 (-4.3334) loss_f 0.0126 (0.0216) loss_d 0.0009 (0.0061) lr 0.0005 epoch [16/25][50/446] time 0.832 (0.835) data 0.000 (0.004) eta 1:01:21 loss_g -4.9264 (-4.2950) loss_f 0.0286 (0.0231) loss_d 0.0001 (0.0051) lr 0.0005 epoch [16/25][60/446] time 0.832 (0.834) data 0.000 (0.003) eta 1:01:08 loss_g -2.9391 (-4.2598) loss_f 0.0752 (0.0223) loss_d 0.0002 (0.0046) lr 0.0005 epoch [16/25][70/446] time 0.832 (0.833) data 0.000 (0.003) eta 1:00:58 loss_g -4.9369 (-4.2429) loss_f 0.0005 (0.0239) loss_d 0.0001 (0.0041) lr 0.0005 epoch [16/25][80/446] time 0.832 (0.833) data 0.000 (0.003) eta 1:00:49 loss_g -5.2388 (-4.3058) loss_f 0.0144 (0.0238) loss_d 0.0001 (0.0037) lr 0.0005 epoch [16/25][90/446] time 0.832 (0.833) data 0.000 (0.002) eta 1:00:39 loss_g -6.0107 (-4.2807) loss_f 0.0144 (0.0255) loss_d 0.0022 (0.0054) lr 0.0005 epoch [16/25][100/446] time 0.828 (0.833) data 0.000 (0.002) eta 1:00:30 loss_g -3.9144 (-4.2885) loss_f 0.0006 (0.0293) loss_d 0.0013 (0.0060) lr 0.0005 epoch [16/25][110/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:00:21 loss_g -4.6135 (-4.3286) loss_f 0.0265 (0.0298) loss_d 0.0001 (0.0057) lr 0.0005 epoch [16/25][120/446] time 0.832 (0.832) data 0.000 (0.002) eta 1:00:12 loss_g -2.0926 (-4.3010) loss_f 0.0366 (0.0306) loss_d 0.0008 (0.0053) lr 0.0005 epoch [16/25][130/446] time 0.830 (0.832) data 0.000 (0.002) eta 1:00:03 loss_g -5.3557 (-4.3036) loss_f 0.0477 (0.0301) loss_d 0.0004 (0.0051) lr 0.0005 epoch [16/25][140/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:59:54 loss_g -4.2216 (-4.2928) loss_f 0.0384 (0.0297) loss_d 0.0001 (0.0049) lr 0.0005 epoch [16/25][150/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:59:46 loss_g -4.6252 (-4.2708) loss_f 0.2521 (0.0325) loss_d 0.0013 (0.0047) lr 0.0005 epoch [16/25][160/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:59:37 loss_g -5.3638 (-4.3050) loss_f 0.0321 (0.0335) loss_d 0.0139 (0.0046) lr 0.0005 epoch [16/25][170/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:59:29 loss_g -6.8437 (-4.2451) loss_f 0.1175 (0.0336) loss_d 0.0014 (0.0045) lr 0.0005 epoch [16/25][180/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:59:20 loss_g -5.8258 (-4.2430) loss_f 0.0042 (0.0332) loss_d 0.0004 (0.0044) lr 0.0005 epoch [16/25][190/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:59:11 loss_g -4.7105 (-4.2507) loss_f 0.0379 (0.0326) loss_d 0.0008 (0.0042) lr 0.0005 epoch [16/25][200/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:59:03 loss_g -3.5418 (-4.2646) loss_f 0.0327 (0.0330) loss_d 0.0014 (0.0043) lr 0.0005 epoch [16/25][210/446] time 0.825 (0.832) data 0.000 (0.001) eta 0:58:54 loss_g -3.5093 (-4.2663) loss_f 0.0112 (0.0329) loss_d 0.0006 (0.0041) lr 0.0005 epoch [16/25][220/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:58:46 loss_g -5.3345 (-4.2815) loss_f 0.0423 (0.0327) loss_d 0.0043 (0.0040) lr 0.0005 epoch [16/25][230/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:58:37 loss_g -1.3594 (-4.2851) loss_f 0.0162 (0.0322) loss_d 0.0028 (0.0040) lr 0.0005 epoch [16/25][240/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:58:29 loss_g -4.1397 (-4.2874) loss_f 0.0103 (0.0330) loss_d 0.0002 (0.0039) lr 0.0005 epoch [16/25][250/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:58:21 loss_g -4.8526 (-4.3112) loss_f 0.0068 (0.0332) loss_d 0.0040 (0.0039) lr 0.0005 epoch [16/25][260/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:58:12 loss_g -3.6407 (-4.2950) loss_f 0.0033 (0.0332) loss_d 0.0006 (0.0039) lr 0.0005 epoch [16/25][270/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:58:04 loss_g -4.4506 (-4.2995) loss_f 0.0038 (0.0324) loss_d 0.0002 (0.0038) lr 0.0005 epoch [16/25][280/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:57:55 loss_g -4.3560 (-4.2784) loss_f 0.0061 (0.0320) loss_d 0.0038 (0.0039) lr 0.0005 epoch [16/25][290/446] time 0.830 (0.831) data 0.000 (0.001) eta 0:57:47 loss_g -4.5811 (-4.2702) loss_f 0.0180 (0.0312) loss_d 0.0002 (0.0042) lr 0.0005 epoch [16/25][300/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:57:38 loss_g -4.8744 (-4.2862) loss_f 0.0819 (0.0317) loss_d 0.0003 (0.0041) lr 0.0005 epoch [16/25][310/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:57:30 loss_g -4.0745 (-4.3100) loss_f 0.0148 (0.0312) loss_d 0.0009 (0.0039) lr 0.0005 epoch [16/25][320/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:57:22 loss_g -5.0903 (-4.2890) loss_f 0.0526 (0.0312) loss_d 0.0006 (0.0039) lr 0.0005 epoch [16/25][330/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:57:14 loss_g -4.8865 (-4.3025) loss_f 0.0081 (0.0308) loss_d 0.0003 (0.0038) lr 0.0005 epoch [16/25][340/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:57:05 loss_g -5.4016 (-4.3008) loss_f 0.0058 (0.0306) loss_d 0.0006 (0.0038) lr 0.0005 epoch [16/25][350/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:56:57 loss_g -3.7912 (-4.3024) loss_f 0.0381 (0.0303) loss_d 0.0007 (0.0037) lr 0.0005 epoch [16/25][360/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:56:48 loss_g -3.4630 (-4.3026) loss_f 0.0064 (0.0304) loss_d 0.0006 (0.0036) lr 0.0005 epoch [16/25][370/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:56:40 loss_g -5.6098 (-4.3001) loss_f 0.0615 (0.0310) loss_d 0.0007 (0.0036) lr 0.0005 epoch [16/25][380/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:56:32 loss_g -4.3242 (-4.3106) loss_f 0.0340 (0.0309) loss_d 0.0002 (0.0036) lr 0.0005 epoch [16/25][390/446] time 0.827 (0.831) data 0.000 (0.001) eta 0:56:23 loss_g -4.8825 (-4.3125) loss_f 0.0604 (0.0304) loss_d 0.0005 (0.0037) lr 0.0005 epoch [16/25][400/446] time 0.829 (0.831) data 0.000 (0.001) eta 0:56:15 loss_g -4.7917 (-4.3117) loss_f 0.0303 (0.0302) loss_d 0.0024 (0.0037) lr 0.0005 epoch [16/25][410/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:56:07 loss_g -4.9634 (-4.3014) loss_f 0.0753 (0.0304) loss_d 0.0002 (0.0037) lr 0.0005 epoch [16/25][420/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:55:58 loss_g -5.1004 (-4.3157) loss_f 0.0374 (0.0300) loss_d 0.0011 (0.0036) lr 0.0005 epoch [16/25][430/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:55:50 loss_g -4.0960 (-4.3197) loss_f 0.0060 (0.0310) loss_d 0.0007 (0.0036) lr 0.0005 epoch [16/25][440/446] time 0.829 (0.831) data 0.000 (0.001) eta 0:55:42 loss_g -5.3834 (-4.3354) loss_f 0.0021 (0.0312) loss_d 0.0001 (0.0036) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,592 * accuracy: 77.73% * error: 22.27% epoch [17/25][10/446] time 0.832 (0.848) data 0.000 (0.020) eta 0:56:34 loss_g -3.8997 (-4.8854) loss_f 0.0068 (0.0209) loss_d 0.0001 (0.0010) lr 0.0005 epoch [17/25][20/446] time 0.833 (0.840) data 0.000 (0.010) eta 0:55:55 loss_g -5.5356 (-4.5085) loss_f 0.0488 (0.0206) loss_d 0.0002 (0.0035) lr 0.0005 epoch [17/25][30/446] time 0.832 (0.837) data 0.000 (0.007) eta 0:55:35 loss_g -3.6036 (-4.3917) loss_f 0.0173 (0.0223) loss_d 0.0009 (0.0047) lr 0.0005 epoch [17/25][40/446] time 0.832 (0.835) data 0.000 (0.005) eta 0:55:19 loss_g -4.7615 (-4.4229) loss_f 0.0013 (0.0225) loss_d 0.0009 (0.0054) lr 0.0005 epoch [17/25][50/446] time 0.829 (0.835) data 0.000 (0.004) eta 0:55:08 loss_g -3.7006 (-4.5564) loss_f 0.0420 (0.0248) loss_d 0.0005 (0.0044) lr 0.0005 epoch [17/25][60/446] time 0.832 (0.834) data 0.000 (0.003) eta 0:54:56 loss_g -6.3800 (-4.4018) loss_f 0.0022 (0.0241) loss_d 0.0015 (0.0038) lr 0.0005 epoch [17/25][70/446] time 0.832 (0.833) data 0.000 (0.003) eta 0:54:47 loss_g -4.5685 (-4.3104) loss_f 0.0037 (0.0230) loss_d 0.0030 (0.0037) lr 0.0005 epoch [17/25][80/446] time 0.832 (0.833) data 0.000 (0.003) eta 0:54:38 loss_g -4.7398 (-4.3017) loss_f 0.0114 (0.0222) loss_d 0.0005 (0.0033) lr 0.0005 epoch [17/25][90/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:54:28 loss_g -6.0577 (-4.3923) loss_f 0.0178 (0.0251) loss_d 0.0056 (0.0031) lr 0.0005 epoch [17/25][100/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:54:19 loss_g -2.8344 (-4.3484) loss_f 0.0050 (0.0240) loss_d 0.0006 (0.0028) lr 0.0005 epoch [17/25][110/446] time 0.829 (0.833) data 0.000 (0.002) eta 0:54:10 loss_g -4.5105 (-4.3404) loss_f 0.0595 (0.0250) loss_d 0.0036 (0.0027) lr 0.0005 epoch [17/25][120/446] time 0.830 (0.832) data 0.000 (0.002) eta 0:54:01 loss_g -3.1326 (-4.3088) loss_f 0.0142 (0.0259) loss_d 0.0169 (0.0028) lr 0.0005 epoch [17/25][130/446] time 0.831 (0.832) data 0.000 (0.002) eta 0:53:52 loss_g -4.9596 (-4.2870) loss_f 0.0022 (0.0251) loss_d 0.0003 (0.0027) lr 0.0005 epoch [17/25][140/446] time 0.832 (0.832) data 0.000 (0.002) eta 0:53:44 loss_g -4.6816 (-4.3029) loss_f 0.0024 (0.0248) loss_d 0.0004 (0.0027) lr 0.0005 epoch [17/25][150/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:53:35 loss_g -6.1900 (-4.2910) loss_f 0.0012 (0.0238) loss_d 0.0024 (0.0026) lr 0.0005 epoch [17/25][160/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:53:26 loss_g -5.0791 (-4.3147) loss_f 0.0416 (0.0234) loss_d 0.0001 (0.0026) lr 0.0005 epoch [17/25][170/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:53:18 loss_g -5.6850 (-4.3358) loss_f 0.0926 (0.0243) loss_d 0.0002 (0.0025) lr 0.0005 epoch [17/25][180/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:53:09 loss_g -3.2581 (-4.3343) loss_f 0.0079 (0.0241) loss_d 0.0004 (0.0025) lr 0.0005 epoch [17/25][190/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:53:00 loss_g -2.6091 (-4.3631) loss_f 0.0423 (0.0237) loss_d 0.0066 (0.0025) lr 0.0005 epoch [17/25][200/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:52:52 loss_g -5.0883 (-4.3567) loss_f 0.0392 (0.0243) loss_d 0.0002 (0.0024) lr 0.0005 epoch [17/25][210/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:52:44 loss_g -3.8070 (-4.3381) loss_f 0.0074 (0.0244) loss_d 0.0261 (0.0026) lr 0.0005 epoch [17/25][220/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:52:35 loss_g -3.3271 (-4.3288) loss_f 0.0377 (0.0248) loss_d 0.0013 (0.0026) lr 0.0005 epoch [17/25][230/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:52:27 loss_g -5.6176 (-4.3444) loss_f 0.0064 (0.0249) loss_d 0.0001 (0.0026) lr 0.0005 epoch [17/25][240/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:52:19 loss_g -4.7183 (-4.3324) loss_f 0.0095 (0.0243) loss_d 0.0002 (0.0025) lr 0.0005 epoch [17/25][250/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:52:10 loss_g -4.2520 (-4.3276) loss_f 0.0059 (0.0244) loss_d 0.0005 (0.0025) lr 0.0005 epoch [17/25][260/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:52:02 loss_g -5.1770 (-4.3195) loss_f 0.0083 (0.0248) loss_d 0.0001 (0.0024) lr 0.0005 epoch [17/25][270/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:51:53 loss_g -2.8229 (-4.3419) loss_f 0.0042 (0.0254) loss_d 0.0002 (0.0023) lr 0.0005 epoch [17/25][280/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:51:45 loss_g -2.5439 (-4.3500) loss_f 0.0484 (0.0258) loss_d 0.0003 (0.0023) lr 0.0005 epoch [17/25][290/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:51:37 loss_g -4.8192 (-4.3630) loss_f 0.0334 (0.0255) loss_d 0.0001 (0.0022) lr 0.0005 epoch [17/25][300/446] time 0.827 (0.832) data 0.000 (0.001) eta 0:51:28 loss_g -3.5904 (-4.3698) loss_f 0.0019 (0.0257) loss_d 0.0003 (0.0023) lr 0.0005 epoch [17/25][310/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:51:20 loss_g -3.8275 (-4.3659) loss_f 0.0286 (0.0256) loss_d 0.0011 (0.0023) lr 0.0005 epoch [17/25][320/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:51:11 loss_g -5.2031 (-4.3837) loss_f 0.0079 (0.0265) loss_d 0.0008 (0.0022) lr 0.0005 epoch [17/25][330/446] time 0.827 (0.832) data 0.000 (0.001) eta 0:51:03 loss_g -4.7361 (-4.3869) loss_f 0.0093 (0.0260) loss_d 0.0213 (0.0027) lr 0.0005 epoch [17/25][340/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:50:55 loss_g -4.4262 (-4.4054) loss_f 0.0021 (0.0261) loss_d 0.0003 (0.0027) lr 0.0005 epoch [17/25][350/446] time 0.826 (0.831) data 0.000 (0.001) eta 0:50:46 loss_g -5.7898 (-4.4112) loss_f 0.0057 (0.0262) loss_d 0.0001 (0.0026) lr 0.0005 epoch [17/25][360/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:50:38 loss_g -5.4740 (-4.4324) loss_f 0.0070 (0.0263) loss_d 0.0006 (0.0029) lr 0.0005 epoch [17/25][370/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:50:29 loss_g -2.5507 (-4.4318) loss_f 0.1266 (0.0264) loss_d 0.0010 (0.0029) lr 0.0005 epoch [17/25][380/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:50:21 loss_g -5.6455 (-4.4380) loss_f 0.0032 (0.0266) loss_d 0.0003 (0.0028) lr 0.0005 epoch [17/25][390/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:50:13 loss_g -4.4732 (-4.4403) loss_f 0.1143 (0.0271) loss_d 0.0058 (0.0028) lr 0.0005 epoch [17/25][400/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:50:04 loss_g -4.0946 (-4.4265) loss_f 0.0058 (0.0270) loss_d 0.0004 (0.0028) lr 0.0005 epoch [17/25][410/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:49:56 loss_g -4.3667 (-4.4305) loss_f 0.0022 (0.0274) loss_d 0.0005 (0.0029) lr 0.0005 epoch [17/25][420/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:49:48 loss_g -4.7434 (-4.4319) loss_f 0.0019 (0.0273) loss_d 0.0005 (0.0029) lr 0.0005 epoch [17/25][430/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:49:39 loss_g -3.6027 (-4.4441) loss_f 0.0057 (0.0273) loss_d 0.0002 (0.0029) lr 0.0005 epoch [17/25][440/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:49:31 loss_g -4.4223 (-4.4321) loss_f 0.0032 (0.0273) loss_d 0.0003 (0.0028) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,527 * accuracy: 74.56% * error: 25.44% epoch [18/25][10/446] time 0.832 (0.849) data 0.000 (0.020) eta 0:50:21 loss_g -6.0804 (-5.2837) loss_f 0.0324 (0.0381) loss_d 0.0010 (0.0019) lr 0.0005 epoch [18/25][20/446] time 0.828 (0.840) data 0.000 (0.010) eta 0:49:41 loss_g -5.0180 (-5.0121) loss_f 0.0013 (0.0363) loss_d 0.0001 (0.0021) lr 0.0005 epoch [18/25][30/446] time 0.832 (0.837) data 0.000 (0.007) eta 0:49:21 loss_g -5.8735 (-4.9347) loss_f 0.0385 (0.0343) loss_d 0.0004 (0.0022) lr 0.0005 epoch [18/25][40/446] time 0.832 (0.836) data 0.000 (0.005) eta 0:49:08 loss_g -5.6579 (-4.6980) loss_f 0.0057 (0.0400) loss_d 0.0002 (0.0018) lr 0.0005 epoch [18/25][50/446] time 0.830 (0.835) data 0.000 (0.004) eta 0:48:57 loss_g -3.4237 (-4.7995) loss_f 0.0047 (0.0390) loss_d 0.0069 (0.0017) lr 0.0005 epoch [18/25][60/446] time 0.832 (0.834) data 0.000 (0.003) eta 0:48:46 loss_g -3.9064 (-4.7655) loss_f 0.0096 (0.0366) loss_d 0.0009 (0.0016) lr 0.0005 epoch [18/25][70/446] time 0.833 (0.834) data 0.000 (0.003) eta 0:48:36 loss_g -4.9170 (-4.6792) loss_f 0.0021 (0.0329) loss_d 0.0001 (0.0016) lr 0.0005 epoch [18/25][80/446] time 0.832 (0.833) data 0.000 (0.003) eta 0:48:26 loss_g -6.1879 (-4.6736) loss_f 0.0034 (0.0296) loss_d 0.0011 (0.0015) lr 0.0005 epoch [18/25][90/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:48:17 loss_g -6.5282 (-4.7118) loss_f 0.1000 (0.0341) loss_d 0.0033 (0.0014) lr 0.0005 epoch [18/25][100/446] time 0.831 (0.833) data 0.000 (0.002) eta 0:48:08 loss_g -2.9059 (-4.6927) loss_f 0.0308 (0.0340) loss_d 0.0231 (0.0019) lr 0.0005 epoch [18/25][110/446] time 0.831 (0.833) data 0.000 (0.002) eta 0:47:59 loss_g -4.6149 (-4.6893) loss_f 0.0345 (0.0326) loss_d 0.0070 (0.0018) lr 0.0005 epoch [18/25][120/446] time 0.831 (0.833) data 0.000 (0.002) eta 0:47:50 loss_g -1.5966 (-4.6581) loss_f 0.0056 (0.0314) loss_d 0.0010 (0.0017) lr 0.0005 epoch [18/25][130/446] time 0.831 (0.832) data 0.000 (0.002) eta 0:47:41 loss_g -5.0494 (-4.6367) loss_f 0.0040 (0.0305) loss_d 0.0018 (0.0018) lr 0.0005 epoch [18/25][140/446] time 0.832 (0.832) data 0.000 (0.002) eta 0:47:32 loss_g -4.9615 (-4.6358) loss_f 0.0116 (0.0300) loss_d 0.0023 (0.0017) lr 0.0005 epoch [18/25][150/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:47:24 loss_g -1.7947 (-4.6454) loss_f 0.2698 (0.0305) loss_d 0.0080 (0.0017) lr 0.0005 epoch [18/25][160/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:47:15 loss_g -2.0586 (-4.6108) loss_f 0.0054 (0.0293) loss_d 0.0070 (0.0017) lr 0.0005 epoch [18/25][170/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:47:07 loss_g -3.3000 (-4.6025) loss_f 0.0109 (0.0280) loss_d 0.0004 (0.0017) lr 0.0005 epoch [18/25][180/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:46:58 loss_g -2.8679 (-4.5506) loss_f 0.0036 (0.0279) loss_d 0.0047 (0.0016) lr 0.0005 epoch [18/25][190/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:46:50 loss_g -4.4877 (-4.5354) loss_f 0.0022 (0.0278) loss_d 0.0006 (0.0016) lr 0.0005 epoch [18/25][200/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:46:41 loss_g -6.2990 (-4.5107) loss_f 0.0045 (0.0279) loss_d 0.0007 (0.0016) lr 0.0005 epoch [18/25][210/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:46:33 loss_g -4.1131 (-4.5396) loss_f 0.0445 (0.0277) loss_d 0.0002 (0.0018) lr 0.0005 epoch [18/25][220/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:46:25 loss_g -4.0020 (-4.5453) loss_f 0.0167 (0.0271) loss_d 0.0049 (0.0018) lr 0.0005 epoch [18/25][230/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:46:16 loss_g -5.4100 (-4.5613) loss_f 0.0073 (0.0267) loss_d 0.0002 (0.0017) lr 0.0005 epoch [18/25][240/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:46:08 loss_g -5.5165 (-4.5397) loss_f 0.0429 (0.0264) loss_d 0.0003 (0.0017) lr 0.0005 epoch [18/25][250/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:45:59 loss_g -4.3461 (-4.5490) loss_f 0.0379 (0.0267) loss_d 0.0151 (0.0018) lr 0.0005 epoch [18/25][260/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:45:51 loss_g -3.0809 (-4.5436) loss_f 0.0196 (0.0282) loss_d 0.0001 (0.0017) lr 0.0005 epoch [18/25][270/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:45:42 loss_g -4.9623 (-4.5415) loss_f 0.0613 (0.0286) loss_d 0.0003 (0.0017) lr 0.0005 epoch [18/25][280/446] time 0.823 (0.832) data 0.000 (0.001) eta 0:45:34 loss_g -3.5810 (-4.5322) loss_f 0.1363 (0.0297) loss_d 0.0001 (0.0017) lr 0.0005 epoch [18/25][290/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:45:25 loss_g -6.2551 (-4.5420) loss_f 0.1045 (0.0294) loss_d 0.0018 (0.0017) lr 0.0005 epoch [18/25][300/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:45:17 loss_g -3.6764 (-4.5380) loss_f 0.0108 (0.0293) loss_d 0.0002 (0.0017) lr 0.0005 epoch [18/25][310/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:45:09 loss_g -1.7881 (-4.5278) loss_f 0.0223 (0.0295) loss_d 0.0019 (0.0018) lr 0.0005 epoch [18/25][320/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:45:00 loss_g -1.7308 (-4.5304) loss_f 0.0151 (0.0294) loss_d 0.0142 (0.0018) lr 0.0005 epoch [18/25][330/446] time 0.822 (0.831) data 0.000 (0.001) eta 0:44:52 loss_g -2.8028 (-4.5096) loss_f 0.0092 (0.0295) loss_d 0.0021 (0.0020) lr 0.0005 epoch [18/25][340/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:44:43 loss_g -5.7756 (-4.5169) loss_f 0.0017 (0.0290) loss_d 0.0005 (0.0020) lr 0.0005 epoch [18/25][350/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:44:35 loss_g -5.2214 (-4.5153) loss_f 0.0427 (0.0293) loss_d 0.0031 (0.0020) lr 0.0005 epoch [18/25][360/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:44:27 loss_g -4.3672 (-4.5175) loss_f 0.0147 (0.0292) loss_d 0.0002 (0.0019) lr 0.0005 epoch [18/25][370/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:44:18 loss_g -4.3933 (-4.5232) loss_f 0.0590 (0.0289) loss_d 0.0015 (0.0019) lr 0.0005 epoch [18/25][380/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:44:10 loss_g -4.6823 (-4.5208) loss_f 0.0046 (0.0296) loss_d 0.0004 (0.0021) lr 0.0005 epoch [18/25][390/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:44:02 loss_g -3.7565 (-4.5381) loss_f 0.0042 (0.0292) loss_d 0.0012 (0.0021) lr 0.0005 epoch [18/25][400/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:43:53 loss_g -4.2127 (-4.5354) loss_f 0.1027 (0.0298) loss_d 0.0002 (0.0024) lr 0.0005 epoch [18/25][410/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:43:45 loss_g -4.2397 (-4.5462) loss_f 0.0074 (0.0293) loss_d 0.0006 (0.0024) lr 0.0005 epoch [18/25][420/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:43:37 loss_g -4.0037 (-4.5333) loss_f 0.0493 (0.0297) loss_d 0.0007 (0.0026) lr 0.0005 epoch [18/25][430/446] time 0.830 (0.831) data 0.000 (0.001) eta 0:43:28 loss_g -3.9980 (-4.5436) loss_f 0.0050 (0.0305) loss_d 0.0011 (0.0026) lr 0.0005 epoch [18/25][440/446] time 0.830 (0.831) data 0.000 (0.001) eta 0:43:20 loss_g -4.3683 (-4.5380) loss_f 0.0910 (0.0311) loss_d 0.0470 (0.0028) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,605 * accuracy: 78.37% * error: 21.63% epoch [19/25][10/446] time 0.832 (0.851) data 0.000 (0.019) eta 0:44:07 loss_g -5.0636 (-4.6353) loss_f 0.0110 (0.0215) loss_d 0.0042 (0.0013) lr 0.0005 epoch [19/25][20/446] time 0.829 (0.841) data 0.000 (0.009) eta 0:43:28 loss_g -2.8472 (-4.2497) loss_f 0.0080 (0.0248) loss_d 0.0001 (0.0015) lr 0.0005 epoch [19/25][30/446] time 0.831 (0.838) data 0.000 (0.006) eta 0:43:10 loss_g -5.3344 (-4.4219) loss_f 0.0808 (0.0248) loss_d 0.0001 (0.0019) lr 0.0005 epoch [19/25][40/446] time 0.831 (0.836) data 0.000 (0.005) eta 0:42:56 loss_g -4.3042 (-4.5225) loss_f 0.0030 (0.0257) loss_d 0.0003 (0.0045) lr 0.0005 epoch [19/25][50/446] time 0.833 (0.835) data 0.000 (0.004) eta 0:42:45 loss_g -4.0242 (-4.4738) loss_f 0.0173 (0.0245) loss_d 0.0004 (0.0040) lr 0.0005 epoch [19/25][60/446] time 0.831 (0.834) data 0.000 (0.003) eta 0:42:35 loss_g -3.2718 (-4.4499) loss_f 0.1067 (0.0254) loss_d 0.0022 (0.0036) lr 0.0005 epoch [19/25][70/446] time 0.832 (0.834) data 0.000 (0.003) eta 0:42:25 loss_g -6.6860 (-4.4588) loss_f 0.0329 (0.0230) loss_d 0.0049 (0.0032) lr 0.0005 epoch [19/25][80/446] time 0.833 (0.834) data 0.000 (0.002) eta 0:42:16 loss_g -5.8956 (-4.4796) loss_f 0.0017 (0.0223) loss_d 0.0046 (0.0032) lr 0.0005 epoch [19/25][90/446] time 0.822 (0.833) data 0.000 (0.002) eta 0:42:06 loss_g -4.9631 (-4.5203) loss_f 0.0251 (0.0210) loss_d 0.0003 (0.0029) lr 0.0005 epoch [19/25][100/446] time 0.833 (0.833) data 0.000 (0.002) eta 0:41:57 loss_g -3.2492 (-4.5557) loss_f 0.0013 (0.0208) loss_d 0.0034 (0.0027) lr 0.0005 epoch [19/25][110/446] time 0.831 (0.833) data 0.000 (0.002) eta 0:41:49 loss_g -6.2483 (-4.5446) loss_f 0.0119 (0.0240) loss_d 0.0004 (0.0025) lr 0.0005 epoch [19/25][120/446] time 0.826 (0.833) data 0.000 (0.002) eta 0:41:40 loss_g -5.3106 (-4.5361) loss_f 0.1123 (0.0238) loss_d 0.0004 (0.0023) lr 0.0005 epoch [19/25][130/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:41:31 loss_g -2.7242 (-4.5134) loss_f 0.0023 (0.0227) loss_d 0.0002 (0.0022) lr 0.0005 epoch [19/25][140/446] time 0.832 (0.833) data 0.000 (0.001) eta 0:41:23 loss_g -5.6424 (-4.5207) loss_f 0.0147 (0.0230) loss_d 0.0003 (0.0034) lr 0.0005 epoch [19/25][150/446] time 0.827 (0.833) data 0.000 (0.001) eta 0:41:14 loss_g -3.7059 (-4.5313) loss_f 0.0354 (0.0237) loss_d 0.0025 (0.0034) lr 0.0005 epoch [19/25][160/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:41:05 loss_g -5.7455 (-4.5902) loss_f 0.0522 (0.0239) loss_d 0.0019 (0.0033) lr 0.0005 epoch [19/25][170/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:40:57 loss_g -6.8911 (-4.5748) loss_f 0.0096 (0.0265) loss_d 0.0015 (0.0034) lr 0.0005 epoch [19/25][180/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:40:48 loss_g -3.2117 (-4.5483) loss_f 0.0574 (0.0269) loss_d 0.0007 (0.0033) lr 0.0005 epoch [19/25][190/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:40:40 loss_g -5.0950 (-4.5570) loss_f 0.0980 (0.0271) loss_d 0.0001 (0.0032) lr 0.0005 epoch [19/25][200/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:40:31 loss_g -4.8286 (-4.5684) loss_f 0.0089 (0.0276) loss_d 0.0012 (0.0031) lr 0.0005 epoch [19/25][210/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:40:23 loss_g -4.9934 (-4.5925) loss_f 0.0738 (0.0278) loss_d 0.0017 (0.0031) lr 0.0005 epoch [19/25][220/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:40:14 loss_g -5.1330 (-4.5554) loss_f 0.0259 (0.0299) loss_d 0.0001 (0.0031) lr 0.0005 epoch [19/25][230/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:40:06 loss_g -5.2018 (-4.5440) loss_f 0.0211 (0.0293) loss_d 0.0014 (0.0030) lr 0.0005 epoch [19/25][240/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:39:57 loss_g -4.4432 (-4.5600) loss_f 0.0033 (0.0287) loss_d 0.0001 (0.0029) lr 0.0005 epoch [19/25][250/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:39:49 loss_g -3.8658 (-4.5605) loss_f 0.0061 (0.0291) loss_d 0.0002 (0.0029) lr 0.0005 epoch [19/25][260/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:39:40 loss_g -4.0037 (-4.5815) loss_f 0.0023 (0.0284) loss_d 0.0006 (0.0028) lr 0.0005 epoch [19/25][270/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:39:32 loss_g -5.2390 (-4.6067) loss_f 0.0379 (0.0281) loss_d 0.0001 (0.0028) lr 0.0005 epoch [19/25][280/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:39:23 loss_g -2.4796 (-4.5896) loss_f 0.0429 (0.0285) loss_d 0.0004 (0.0027) lr 0.0005 epoch [19/25][290/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:39:15 loss_g -5.6489 (-4.6201) loss_f 0.0086 (0.0286) loss_d 0.0027 (0.0033) lr 0.0005 epoch [19/25][300/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:39:07 loss_g -4.1021 (-4.6145) loss_f 0.0276 (0.0283) loss_d 0.0005 (0.0032) lr 0.0005 epoch [19/25][310/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:38:58 loss_g -4.5273 (-4.6114) loss_f 0.0625 (0.0280) loss_d 0.0001 (0.0033) lr 0.0005 epoch [19/25][320/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:38:50 loss_g -4.9228 (-4.6143) loss_f 0.0151 (0.0278) loss_d 0.0012 (0.0032) lr 0.0005 epoch [19/25][330/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:38:42 loss_g -5.7570 (-4.6301) loss_f 0.0418 (0.0283) loss_d 0.0001 (0.0031) lr 0.0005 epoch [19/25][340/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:38:33 loss_g -5.6718 (-4.6461) loss_f 0.0094 (0.0287) loss_d 0.0007 (0.0031) lr 0.0005 epoch [19/25][350/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:38:25 loss_g -4.9227 (-4.6457) loss_f 0.0090 (0.0290) loss_d 0.0128 (0.0031) lr 0.0005 epoch [19/25][360/446] time 0.828 (0.832) data 0.000 (0.001) eta 0:38:17 loss_g -4.4404 (-4.6387) loss_f 0.0099 (0.0285) loss_d 0.0001 (0.0030) lr 0.0005 epoch [19/25][370/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:38:08 loss_g -5.8827 (-4.6712) loss_f 0.0300 (0.0281) loss_d 0.0035 (0.0032) lr 0.0005 epoch [19/25][380/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:38:00 loss_g -5.5850 (-4.6797) loss_f 0.0269 (0.0286) loss_d 0.0011 (0.0031) lr 0.0005 epoch [19/25][390/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:37:51 loss_g -3.7009 (-4.6779) loss_f 0.0316 (0.0286) loss_d 0.0004 (0.0032) lr 0.0005 epoch [19/25][400/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:37:43 loss_g -4.8160 (-4.6852) loss_f 0.0567 (0.0289) loss_d 0.0009 (0.0031) lr 0.0005 epoch [19/25][410/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:37:35 loss_g -4.1589 (-4.6675) loss_f 0.0362 (0.0287) loss_d 0.0006 (0.0032) lr 0.0005 epoch [19/25][420/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:37:26 loss_g -3.4726 (-4.6655) loss_f 0.0187 (0.0286) loss_d 0.0013 (0.0031) lr 0.0005 epoch [19/25][430/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:37:18 loss_g -5.7680 (-4.6611) loss_f 0.0106 (0.0286) loss_d 0.0001 (0.0032) lr 0.0005 epoch [19/25][440/446] time 0.829 (0.832) data 0.000 (0.000) eta 0:37:10 loss_g -6.0261 (-4.6631) loss_f 0.0079 (0.0286) loss_d 0.0601 (0.0033) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,614 * accuracy: 78.81% * error: 21.19% epoch [20/25][10/446] time 0.832 (0.863) data 0.000 (0.034) eta 0:38:20 loss_g -4.6367 (-4.9563) loss_f 0.0232 (0.0152) loss_d 0.0002 (0.0006) lr 0.0005 epoch [20/25][20/446] time 0.832 (0.847) data 0.000 (0.017) eta 0:37:30 loss_g -5.2693 (-5.0004) loss_f 0.0109 (0.0229) loss_d 0.0005 (0.0012) lr 0.0005 epoch [20/25][30/446] time 0.826 (0.842) data 0.000 (0.011) eta 0:37:06 loss_g -3.6761 (-4.8528) loss_f 0.0277 (0.0231) loss_d 0.0001 (0.0011) lr 0.0005 epoch [20/25][40/446] time 0.831 (0.839) data 0.000 (0.009) eta 0:36:50 loss_g -6.8873 (-4.8857) loss_f 0.0009 (0.0204) loss_d 0.0003 (0.0010) lr 0.0005 epoch [20/25][50/446] time 0.825 (0.837) data 0.000 (0.007) eta 0:36:37 loss_g -7.5010 (-5.0100) loss_f 0.0033 (0.0197) loss_d 0.0003 (0.0011) lr 0.0005 epoch [20/25][60/446] time 0.830 (0.836) data 0.000 (0.006) eta 0:36:26 loss_g -2.5709 (-4.9416) loss_f 0.0010 (0.0201) loss_d 0.0002 (0.0010) lr 0.0005 epoch [20/25][70/446] time 0.830 (0.835) data 0.000 (0.005) eta 0:36:15 loss_g -4.7120 (-4.9963) loss_f 0.0025 (0.0192) loss_d 0.0035 (0.0009) lr 0.0005 epoch [20/25][80/446] time 0.831 (0.834) data 0.000 (0.004) eta 0:36:05 loss_g -5.0993 (-4.9392) loss_f 0.0037 (0.0187) loss_d 0.0001 (0.0010) lr 0.0005 epoch [20/25][90/446] time 0.831 (0.834) data 0.000 (0.004) eta 0:35:56 loss_g -5.7604 (-4.8582) loss_f 0.0221 (0.0182) loss_d 0.0004 (0.0019) lr 0.0005 epoch [20/25][100/446] time 0.829 (0.834) data 0.000 (0.003) eta 0:35:47 loss_g -3.5529 (-4.8599) loss_f 0.0045 (0.0187) loss_d 0.0002 (0.0018) lr 0.0005 epoch [20/25][110/446] time 0.831 (0.833) data 0.000 (0.003) eta 0:35:38 loss_g -4.3512 (-4.8795) loss_f 0.0062 (0.0190) loss_d 0.0002 (0.0017) lr 0.0005 epoch [20/25][120/446] time 0.825 (0.833) data 0.000 (0.003) eta 0:35:29 loss_g -5.3518 (-4.8775) loss_f 0.0041 (0.0190) loss_d 0.0000 (0.0018) lr 0.0005 epoch [20/25][130/446] time 0.831 (0.833) data 0.000 (0.003) eta 0:35:20 loss_g -4.6541 (-4.8863) loss_f 0.1096 (0.0194) loss_d 0.0009 (0.0018) lr 0.0005 epoch [20/25][140/446] time 0.830 (0.833) data 0.000 (0.002) eta 0:35:11 loss_g -5.0116 (-4.8724) loss_f 0.0071 (0.0195) loss_d 0.0001 (0.0017) lr 0.0005 epoch [20/25][150/446] time 0.830 (0.833) data 0.000 (0.002) eta 0:35:03 loss_g -6.4653 (-4.8775) loss_f 0.0085 (0.0193) loss_d 0.0001 (0.0016) lr 0.0005 epoch [20/25][160/446] time 0.830 (0.833) data 0.000 (0.002) eta 0:34:54 loss_g -5.1300 (-4.8671) loss_f 0.0060 (0.0197) loss_d 0.0001 (0.0016) lr 0.0005 epoch [20/25][170/446] time 0.829 (0.832) data 0.000 (0.002) eta 0:34:46 loss_g -4.0529 (-4.8546) loss_f 0.0145 (0.0192) loss_d 0.0002 (0.0015) lr 0.0005 epoch [20/25][180/446] time 0.832 (0.832) data 0.000 (0.002) eta 0:34:37 loss_g -6.1802 (-4.8321) loss_f 0.0084 (0.0187) loss_d 0.0001 (0.0017) lr 0.0005 epoch [20/25][190/446] time 0.833 (0.832) data 0.000 (0.002) eta 0:34:29 loss_g -5.6355 (-4.8240) loss_f 0.0047 (0.0191) loss_d 0.0001 (0.0017) lr 0.0005 epoch [20/25][200/446] time 0.833 (0.832) data 0.000 (0.002) eta 0:34:20 loss_g -4.5375 (-4.7971) loss_f 0.0015 (0.0196) loss_d 0.0001 (0.0018) lr 0.0005 epoch [20/25][210/446] time 0.832 (0.832) data 0.000 (0.002) eta 0:34:12 loss_g -4.9738 (-4.8001) loss_f 0.0031 (0.0199) loss_d 0.0001 (0.0017) lr 0.0005 epoch [20/25][220/446] time 0.829 (0.832) data 0.000 (0.002) eta 0:34:03 loss_g -1.9673 (-4.7834) loss_f 0.0055 (0.0194) loss_d 0.0016 (0.0018) lr 0.0005 epoch [20/25][230/446] time 0.831 (0.832) data 0.000 (0.002) eta 0:33:55 loss_g -5.0302 (-4.7753) loss_f 0.0037 (0.0201) loss_d 0.0003 (0.0018) lr 0.0005 epoch [20/25][240/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:33:47 loss_g -3.6747 (-4.7511) loss_f 0.0241 (0.0216) loss_d 0.0017 (0.0019) lr 0.0005 epoch [20/25][250/446] time 0.828 (0.832) data 0.000 (0.001) eta 0:33:38 loss_g -5.2003 (-4.7526) loss_f 0.0056 (0.0211) loss_d 0.0007 (0.0019) lr 0.0005 epoch [20/25][260/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:33:30 loss_g -4.9581 (-4.7625) loss_f 0.0073 (0.0208) loss_d 0.0008 (0.0019) lr 0.0005 epoch [20/25][270/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:33:21 loss_g -5.0901 (-4.7892) loss_f 0.0547 (0.0207) loss_d 0.0026 (0.0018) lr 0.0005 epoch [20/25][280/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:33:13 loss_g -4.1313 (-4.7915) loss_f 0.0014 (0.0205) loss_d 0.0000 (0.0018) lr 0.0005 epoch [20/25][290/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:33:05 loss_g -3.3202 (-4.7890) loss_f 0.1128 (0.0210) loss_d 0.0004 (0.0018) lr 0.0005 epoch [20/25][300/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:32:56 loss_g -4.7479 (-4.8090) loss_f 0.0217 (0.0220) loss_d 0.0002 (0.0018) lr 0.0005 epoch [20/25][310/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:32:48 loss_g -6.1298 (-4.8092) loss_f 0.0020 (0.0215) loss_d 0.0001 (0.0018) lr 0.0005 epoch [20/25][320/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:32:39 loss_g -4.5811 (-4.8265) loss_f 0.0288 (0.0219) loss_d 0.0000 (0.0018) lr 0.0005 epoch [20/25][330/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:32:31 loss_g -3.1125 (-4.8295) loss_f 0.0057 (0.0226) loss_d 0.0003 (0.0018) lr 0.0005 epoch [20/25][340/446] time 0.828 (0.832) data 0.000 (0.001) eta 0:32:22 loss_g -6.7925 (-4.8436) loss_f 0.0389 (0.0230) loss_d 0.0003 (0.0018) lr 0.0005 epoch [20/25][350/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:32:14 loss_g -1.8391 (-4.8472) loss_f 0.0297 (0.0227) loss_d 0.0014 (0.0018) lr 0.0005 epoch [20/25][360/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:32:06 loss_g -4.9028 (-4.8503) loss_f 0.0046 (0.0226) loss_d 0.0007 (0.0018) lr 0.0005 epoch [20/25][370/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:31:57 loss_g -5.6457 (-4.8544) loss_f 0.2934 (0.0238) loss_d 0.0008 (0.0017) lr 0.0005 epoch [20/25][380/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:31:49 loss_g -5.2100 (-4.8690) loss_f 0.0031 (0.0234) loss_d 0.0001 (0.0017) lr 0.0005 epoch [20/25][390/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:31:40 loss_g -3.9488 (-4.8810) loss_f 0.0028 (0.0232) loss_d 0.0001 (0.0017) lr 0.0005 epoch [20/25][400/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:31:32 loss_g -6.2632 (-4.8762) loss_f 0.0226 (0.0238) loss_d 0.0003 (0.0017) lr 0.0005 epoch [20/25][410/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:31:24 loss_g -6.5972 (-4.8923) loss_f 0.0043 (0.0238) loss_d 0.0000 (0.0017) lr 0.0005 epoch [20/25][420/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:31:15 loss_g -2.0352 (-4.8821) loss_f 0.0362 (0.0241) loss_d 0.0017 (0.0017) lr 0.0005 epoch [20/25][430/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:31:07 loss_g -5.0290 (-4.8675) loss_f 0.0039 (0.0241) loss_d 0.0022 (0.0017) lr 0.0005 epoch [20/25][440/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:30:59 loss_g -2.6068 (-4.8521) loss_f 0.1894 (0.0242) loss_d 0.0001 (0.0016) lr 0.0005 Do evaluation on test set => result * total: 2,048 * correct: 1,512 * accuracy: 73.83% * error: 26.17% epoch [21/25][10/446] time 0.826 (0.851) data 0.000 (0.021) eta 0:31:29 loss_g -5.2524 (-5.1403) loss_f 0.0368 (0.0248) loss_d 0.0002 (0.0040) lr 5e-05 epoch [21/25][20/446] time 0.832 (0.841) data 0.000 (0.011) eta 0:30:58 loss_g -5.2460 (-5.0918) loss_f 0.0020 (0.0215) loss_d 0.0004 (0.0033) lr 5e-05 epoch [21/25][30/446] time 0.832 (0.838) data 0.000 (0.007) eta 0:30:43 loss_g -6.7023 (-5.3344) loss_f 0.0080 (0.0267) loss_d 0.0039 (0.0047) lr 5e-05 epoch [21/25][40/446] time 0.832 (0.836) data 0.000 (0.005) eta 0:30:31 loss_g -7.1504 (-5.2592) loss_f 0.0135 (0.0258) loss_d 0.0014 (0.0037) lr 5e-05 epoch [21/25][50/446] time 0.832 (0.835) data 0.000 (0.004) eta 0:30:20 loss_g -4.0470 (-5.2844) loss_f 0.0121 (0.0252) loss_d 0.0001 (0.0031) lr 5e-05 epoch [21/25][60/446] time 0.831 (0.834) data 0.000 (0.004) eta 0:30:10 loss_g -7.0277 (-5.3611) loss_f 0.0027 (0.0258) loss_d 0.0012 (0.0038) lr 5e-05 epoch [21/25][70/446] time 0.830 (0.834) data 0.000 (0.003) eta 0:30:01 loss_g -4.0961 (-5.3368) loss_f 0.0093 (0.0257) loss_d 0.0002 (0.0037) lr 5e-05 epoch [21/25][80/446] time 0.832 (0.834) data 0.000 (0.003) eta 0:29:52 loss_g -4.5633 (-5.3038) loss_f 0.0028 (0.0250) loss_d 0.0008 (0.0034) lr 5e-05 epoch [21/25][90/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:29:43 loss_g -4.7943 (-5.2290) loss_f 0.0137 (0.0252) loss_d 0.0004 (0.0033) lr 5e-05 epoch [21/25][100/446] time 0.831 (0.833) data 0.000 (0.002) eta 0:29:34 loss_g -4.7975 (-5.2133) loss_f 0.0261 (0.0238) loss_d 0.0001 (0.0030) lr 5e-05 epoch [21/25][110/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:29:25 loss_g -5.3912 (-5.1990) loss_f 0.0035 (0.0253) loss_d 0.0001 (0.0029) lr 5e-05 epoch [21/25][120/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:29:17 loss_g -5.7727 (-5.1906) loss_f 0.0040 (0.0241) loss_d 0.0118 (0.0028) lr 5e-05 epoch [21/25][130/446] time 0.830 (0.833) data 0.000 (0.002) eta 0:29:08 loss_g -5.2044 (-5.1965) loss_f 0.0369 (0.0246) loss_d 0.0001 (0.0026) lr 5e-05 epoch [21/25][140/446] time 0.828 (0.833) data 0.000 (0.002) eta 0:28:59 loss_g -4.9777 (-5.1996) loss_f 0.0791 (0.0241) loss_d 0.0002 (0.0026) lr 5e-05 epoch [21/25][150/446] time 0.826 (0.832) data 0.000 (0.001) eta 0:28:51 loss_g -5.8597 (-5.2588) loss_f 0.0301 (0.0252) loss_d 0.0001 (0.0025) lr 5e-05 epoch [21/25][160/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:28:42 loss_g -5.0815 (-5.2968) loss_f 0.0012 (0.0246) loss_d 0.0003 (0.0024) lr 5e-05 epoch [21/25][170/446] time 0.822 (0.832) data 0.000 (0.001) eta 0:28:34 loss_g -5.6118 (-5.2913) loss_f 0.0420 (0.0247) loss_d 0.0005 (0.0023) lr 5e-05 epoch [21/25][180/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:28:25 loss_g -4.8328 (-5.3012) loss_f 0.0061 (0.0240) loss_d 0.0006 (0.0022) lr 5e-05 epoch [21/25][190/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:28:17 loss_g -6.4108 (-5.2904) loss_f 0.0014 (0.0248) loss_d 0.0002 (0.0022) lr 5e-05 epoch [21/25][200/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:28:08 loss_g -3.3246 (-5.2957) loss_f 0.0052 (0.0254) loss_d 0.0006 (0.0021) lr 5e-05 epoch [21/25][210/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:28:00 loss_g -6.6012 (-5.2922) loss_f 0.0669 (0.0254) loss_d 0.0002 (0.0020) lr 5e-05 epoch [21/25][220/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:27:51 loss_g -7.1005 (-5.2845) loss_f 0.0230 (0.0247) loss_d 0.0001 (0.0021) lr 5e-05 epoch [21/25][230/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:27:43 loss_g -5.7504 (-5.2840) loss_f 0.0078 (0.0247) loss_d 0.0002 (0.0021) lr 5e-05 epoch [21/25][240/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:27:35 loss_g -7.1607 (-5.3080) loss_f 0.0035 (0.0242) loss_d 0.0033 (0.0021) lr 5e-05 epoch [21/25][250/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:27:26 loss_g -5.2786 (-5.3014) loss_f 0.0162 (0.0237) loss_d 0.0003 (0.0020) lr 5e-05 epoch [21/25][260/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:27:18 loss_g -4.5657 (-5.2941) loss_f 0.0063 (0.0234) loss_d 0.0025 (0.0020) lr 5e-05 epoch [21/25][270/446] time 0.827 (0.832) data 0.000 (0.001) eta 0:27:10 loss_g -5.8524 (-5.2741) loss_f 0.0073 (0.0233) loss_d 0.0000 (0.0019) lr 5e-05 epoch [21/25][280/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:27:01 loss_g -3.0892 (-5.2506) loss_f 0.0153 (0.0227) loss_d 0.0028 (0.0019) lr 5e-05 epoch [21/25][290/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:26:53 loss_g -8.3159 (-5.2730) loss_f 0.0151 (0.0225) loss_d 0.0002 (0.0019) lr 5e-05 epoch [21/25][300/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:26:44 loss_g -5.0461 (-5.2648) loss_f 0.0034 (0.0227) loss_d 0.0021 (0.0018) lr 5e-05 epoch [21/25][310/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:26:36 loss_g -4.4526 (-5.2584) loss_f 0.0023 (0.0230) loss_d 0.0002 (0.0018) lr 5e-05 epoch [21/25][320/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:26:28 loss_g -3.8767 (-5.2562) loss_f 0.0125 (0.0227) loss_d 0.0014 (0.0018) lr 5e-05 epoch [21/25][330/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:26:19 loss_g -5.4871 (-5.2685) loss_f 0.0032 (0.0232) loss_d 0.0002 (0.0018) lr 5e-05 epoch [21/25][340/446] time 0.830 (0.831) data 0.000 (0.001) eta 0:26:11 loss_g -4.9274 (-5.2774) loss_f 0.0030 (0.0230) loss_d 0.0002 (0.0017) lr 5e-05 epoch [21/25][350/446] time 0.830 (0.831) data 0.000 (0.001) eta 0:26:03 loss_g -1.6692 (-5.2823) loss_f 0.0073 (0.0228) loss_d 0.0065 (0.0017) lr 5e-05 epoch [21/25][360/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:25:54 loss_g -5.0264 (-5.2561) loss_f 0.0066 (0.0225) loss_d 0.0008 (0.0017) lr 5e-05 epoch [21/25][370/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:25:46 loss_g -6.2678 (-5.2452) loss_f 0.0097 (0.0227) loss_d 0.0006 (0.0017) lr 5e-05 epoch [21/25][380/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:25:38 loss_g -6.7188 (-5.2602) loss_f 0.0085 (0.0223) loss_d 0.0005 (0.0016) lr 5e-05 epoch [21/25][390/446] time 0.829 (0.831) data 0.000 (0.001) eta 0:25:29 loss_g -6.8495 (-5.2541) loss_f 0.0011 (0.0223) loss_d 0.0002 (0.0016) lr 5e-05 epoch [21/25][400/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:25:21 loss_g -4.9713 (-5.2712) loss_f 0.0010 (0.0218) loss_d 0.0002 (0.0016) lr 5e-05 epoch [21/25][410/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:25:13 loss_g -3.4402 (-5.2612) loss_f 0.0056 (0.0217) loss_d 0.0011 (0.0016) lr 5e-05 epoch [21/25][420/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:25:04 loss_g -4.4892 (-5.2586) loss_f 0.0051 (0.0214) loss_d 0.0007 (0.0016) lr 5e-05 epoch [21/25][430/446] time 0.824 (0.831) data 0.000 (0.001) eta 0:24:56 loss_g -5.8816 (-5.2609) loss_f 0.0010 (0.0211) loss_d 0.0007 (0.0016) lr 5e-05 epoch [21/25][440/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:24:48 loss_g -7.2243 (-5.2795) loss_f 0.0024 (0.0211) loss_d 0.0003 (0.0016) lr 5e-05 Do evaluation on test set => result * total: 2,048 * correct: 1,621 * accuracy: 79.15% * error: 20.85% epoch [22/25][10/446] time 0.830 (0.848) data 0.000 (0.019) eta 0:25:04 loss_g -3.3091 (-5.2722) loss_f 0.0083 (0.0093) loss_d 0.0003 (0.0008) lr 5e-05 epoch [22/25][20/446] time 0.827 (0.840) data 0.000 (0.009) eta 0:24:41 loss_g -3.1264 (-5.3403) loss_f 0.0494 (0.0154) loss_d 0.0001 (0.0006) lr 5e-05 epoch [22/25][30/446] time 0.832 (0.836) data 0.000 (0.006) eta 0:24:27 loss_g -0.8856 (-5.1775) loss_f 0.0250 (0.0198) loss_d 0.0027 (0.0007) lr 5e-05 epoch [22/25][40/446] time 0.833 (0.835) data 0.000 (0.005) eta 0:24:16 loss_g -5.0343 (-5.1900) loss_f 0.0017 (0.0190) loss_d 0.0264 (0.0016) lr 5e-05 epoch [22/25][50/446] time 0.830 (0.834) data 0.000 (0.004) eta 0:24:06 loss_g -5.3644 (-5.0728) loss_f 0.0020 (0.0187) loss_d 0.0007 (0.0020) lr 5e-05 epoch [22/25][60/446] time 0.832 (0.834) data 0.000 (0.003) eta 0:23:57 loss_g -4.6817 (-5.1316) loss_f 0.0064 (0.0184) loss_d 0.0001 (0.0018) lr 5e-05 epoch [22/25][70/446] time 0.832 (0.833) data 0.000 (0.003) eta 0:23:48 loss_g -7.5293 (-5.2579) loss_f 0.0072 (0.0191) loss_d 0.0027 (0.0016) lr 5e-05 epoch [22/25][80/446] time 0.825 (0.833) data 0.000 (0.002) eta 0:23:39 loss_g -5.5152 (-5.2430) loss_f 0.0154 (0.0191) loss_d 0.0009 (0.0015) lr 5e-05 epoch [22/25][90/446] time 0.830 (0.833) data 0.000 (0.002) eta 0:23:30 loss_g -4.2468 (-5.2056) loss_f 0.0425 (0.0197) loss_d 0.0024 (0.0015) lr 5e-05 epoch [22/25][100/446] time 0.828 (0.832) data 0.000 (0.002) eta 0:23:21 loss_g -4.2069 (-5.2851) loss_f 0.0029 (0.0211) loss_d 0.0001 (0.0015) lr 5e-05 epoch [22/25][110/446] time 0.829 (0.832) data 0.000 (0.002) eta 0:23:12 loss_g -5.9462 (-5.2999) loss_f 0.0130 (0.0208) loss_d 0.0043 (0.0014) lr 5e-05 epoch [22/25][120/446] time 0.830 (0.832) data 0.000 (0.002) eta 0:23:04 loss_g -5.3416 (-5.2776) loss_f 0.0353 (0.0199) loss_d 0.0004 (0.0013) lr 5e-05 epoch [22/25][130/446] time 0.831 (0.832) data 0.000 (0.002) eta 0:22:55 loss_g -7.0069 (-5.3435) loss_f 0.0582 (0.0195) loss_d 0.0014 (0.0013) lr 5e-05 epoch [22/25][140/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:22:47 loss_g -1.8888 (-5.3392) loss_f 0.0165 (0.0215) loss_d 0.0008 (0.0013) lr 5e-05 epoch [22/25][150/446] time 0.825 (0.832) data 0.000 (0.001) eta 0:22:39 loss_g -3.5223 (-5.3156) loss_f 0.0007 (0.0209) loss_d 0.0001 (0.0012) lr 5e-05 epoch [22/25][160/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:22:30 loss_g -4.5475 (-5.2756) loss_f 0.0024 (0.0211) loss_d 0.0069 (0.0013) lr 5e-05 epoch [22/25][170/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:22:22 loss_g -4.4021 (-5.2479) loss_f 0.0110 (0.0210) loss_d 0.0036 (0.0013) lr 5e-05 epoch [22/25][180/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:22:13 loss_g -4.7763 (-5.2576) loss_f 0.0148 (0.0215) loss_d 0.0016 (0.0013) lr 5e-05 epoch [22/25][190/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:22:05 loss_g -6.0710 (-5.2478) loss_f 0.1127 (0.0216) loss_d 0.0017 (0.0013) lr 5e-05 epoch [22/25][200/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:21:57 loss_g -5.8247 (-5.2444) loss_f 0.0009 (0.0223) loss_d 0.0003 (0.0013) lr 5e-05 epoch [22/25][210/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:21:48 loss_g -6.2750 (-5.2919) loss_f 0.0051 (0.0216) loss_d 0.0002 (0.0012) lr 5e-05 epoch [22/25][220/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:21:40 loss_g -4.9881 (-5.2786) loss_f 0.0228 (0.0217) loss_d 0.0009 (0.0012) lr 5e-05 epoch [22/25][230/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:21:32 loss_g -6.4211 (-5.2935) loss_f 0.0098 (0.0214) loss_d 0.0009 (0.0012) lr 5e-05 epoch [22/25][240/446] time 0.829 (0.831) data 0.000 (0.001) eta 0:21:23 loss_g -6.1338 (-5.3116) loss_f 0.0035 (0.0211) loss_d 0.0001 (0.0012) lr 5e-05 epoch [22/25][250/446] time 0.827 (0.831) data 0.000 (0.001) eta 0:21:15 loss_g -3.5966 (-5.2820) loss_f 0.0287 (0.0208) loss_d 0.0001 (0.0012) lr 5e-05 epoch [22/25][260/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:21:07 loss_g -5.3902 (-5.2961) loss_f 0.0239 (0.0208) loss_d 0.0002 (0.0012) lr 5e-05 epoch [22/25][270/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:20:58 loss_g -3.9605 (-5.3116) loss_f 0.0067 (0.0208) loss_d 0.0001 (0.0011) lr 5e-05 epoch [22/25][280/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:20:50 loss_g -7.7110 (-5.3334) loss_f 0.0229 (0.0204) loss_d 0.0005 (0.0011) lr 5e-05 epoch [22/25][290/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:20:42 loss_g -5.4420 (-5.3164) loss_f 0.0101 (0.0212) loss_d 0.0020 (0.0011) lr 5e-05 epoch [22/25][300/446] time 0.830 (0.831) data 0.000 (0.001) eta 0:20:33 loss_g -4.6551 (-5.3064) loss_f 0.0024 (0.0210) loss_d 0.0009 (0.0012) lr 5e-05 epoch [22/25][310/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:20:25 loss_g -5.0057 (-5.3111) loss_f 0.0308 (0.0209) loss_d 0.0002 (0.0013) lr 5e-05 epoch [22/25][320/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:20:17 loss_g -6.2656 (-5.3084) loss_f 0.0095 (0.0207) loss_d 0.0002 (0.0013) lr 5e-05 epoch [22/25][330/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:20:08 loss_g -5.8307 (-5.3182) loss_f 0.0186 (0.0205) loss_d 0.0067 (0.0015) lr 5e-05 epoch [22/25][340/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:20:00 loss_g -6.2471 (-5.3289) loss_f 0.0196 (0.0201) loss_d 0.0002 (0.0015) lr 5e-05 epoch [22/25][350/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:19:51 loss_g -4.6179 (-5.3375) loss_f 0.0038 (0.0204) loss_d 0.0005 (0.0015) lr 5e-05 epoch [22/25][360/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:19:43 loss_g -3.2813 (-5.3383) loss_f 0.0042 (0.0203) loss_d 0.0001 (0.0015) lr 5e-05 epoch [22/25][370/446] time 0.829 (0.831) data 0.000 (0.001) eta 0:19:35 loss_g -2.2545 (-5.3406) loss_f 0.0013 (0.0199) loss_d 0.0060 (0.0015) lr 5e-05 epoch [22/25][380/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:19:26 loss_g -6.6861 (-5.3436) loss_f 0.0352 (0.0197) loss_d 0.0001 (0.0015) lr 5e-05 epoch [22/25][390/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:19:18 loss_g -2.9488 (-5.3327) loss_f 0.0029 (0.0197) loss_d 0.0011 (0.0015) lr 5e-05 epoch [22/25][400/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:19:10 loss_g -3.5918 (-5.3057) loss_f 0.0009 (0.0196) loss_d 0.0072 (0.0015) lr 5e-05 epoch [22/25][410/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:19:01 loss_g -5.7616 (-5.3189) loss_f 0.0413 (0.0198) loss_d 0.0001 (0.0015) lr 5e-05 epoch [22/25][420/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:18:53 loss_g -7.0716 (-5.3250) loss_f 0.1557 (0.0199) loss_d 0.0037 (0.0015) lr 5e-05 epoch [22/25][430/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:18:45 loss_g -5.9447 (-5.3200) loss_f 0.0180 (0.0199) loss_d 0.0003 (0.0015) lr 5e-05 epoch [22/25][440/446] time 0.832 (0.831) data 0.000 (0.000) eta 0:18:37 loss_g -6.1727 (-5.3293) loss_f 0.0507 (0.0201) loss_d 0.0052 (0.0015) lr 5e-05 Do evaluation on test set => result * total: 2,048 * correct: 1,561 * accuracy: 76.22% * error: 23.78% epoch [23/25][10/446] time 0.833 (0.850) data 0.000 (0.019) eta 0:18:48 loss_g -3.0315 (-5.7848) loss_f 0.0186 (0.0083) loss_d 0.0008 (0.0014) lr 5e-05 epoch [23/25][20/446] time 0.832 (0.841) data 0.000 (0.010) eta 0:18:28 loss_g -5.4765 (-5.8162) loss_f 0.0005 (0.0128) loss_d 0.0000 (0.0014) lr 5e-05 epoch [23/25][30/446] time 0.832 (0.838) data 0.000 (0.006) eta 0:18:15 loss_g -6.2145 (-5.7548) loss_f 0.0373 (0.0140) loss_d 0.0003 (0.0020) lr 5e-05 epoch [23/25][40/446] time 0.832 (0.836) data 0.000 (0.005) eta 0:18:05 loss_g -6.0794 (-5.7158) loss_f 0.0216 (0.0151) loss_d 0.0006 (0.0017) lr 5e-05 epoch [23/25][50/446] time 0.832 (0.835) data 0.000 (0.004) eta 0:17:55 loss_g -4.3711 (-5.5802) loss_f 0.0534 (0.0150) loss_d 0.0003 (0.0015) lr 5e-05 epoch [23/25][60/446] time 0.833 (0.834) data 0.000 (0.003) eta 0:17:46 loss_g -0.7364 (-5.5147) loss_f 0.0056 (0.0159) loss_d 0.0576 (0.0024) lr 5e-05 epoch [23/25][70/446] time 0.829 (0.833) data 0.000 (0.003) eta 0:17:36 loss_g -3.2327 (-5.3893) loss_f 0.0046 (0.0153) loss_d 0.0030 (0.0022) lr 5e-05 epoch [23/25][80/446] time 0.829 (0.833) data 0.000 (0.002) eta 0:17:28 loss_g -6.1806 (-5.4460) loss_f 0.0028 (0.0152) loss_d 0.0001 (0.0021) lr 5e-05 epoch [23/25][90/446] time 0.829 (0.833) data 0.000 (0.002) eta 0:17:19 loss_g -6.3625 (-5.4391) loss_f 0.0036 (0.0176) loss_d 0.0000 (0.0019) lr 5e-05 epoch [23/25][100/446] time 0.831 (0.833) data 0.000 (0.002) eta 0:17:10 loss_g -5.3821 (-5.4592) loss_f 0.0174 (0.0170) loss_d 0.0012 (0.0018) lr 5e-05 epoch [23/25][110/446] time 0.830 (0.832) data 0.000 (0.002) eta 0:17:02 loss_g -3.1316 (-5.4181) loss_f 0.0196 (0.0175) loss_d 0.0001 (0.0017) lr 5e-05 epoch [23/25][120/446] time 0.830 (0.832) data 0.000 (0.002) eta 0:16:53 loss_g -5.3290 (-5.4491) loss_f 0.0025 (0.0166) loss_d 0.0001 (0.0017) lr 5e-05 epoch [23/25][130/446] time 0.832 (0.832) data 0.000 (0.002) eta 0:16:45 loss_g -6.1071 (-5.4766) loss_f 0.0123 (0.0163) loss_d 0.0002 (0.0017) lr 5e-05 epoch [23/25][140/446] time 0.827 (0.832) data 0.000 (0.001) eta 0:16:36 loss_g -2.9153 (-5.4382) loss_f 0.0085 (0.0160) loss_d 0.0026 (0.0016) lr 5e-05 epoch [23/25][150/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:16:28 loss_g -2.1011 (-5.3840) loss_f 0.0078 (0.0164) loss_d 0.0046 (0.0016) lr 5e-05 epoch [23/25][160/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:16:20 loss_g -4.5547 (-5.4171) loss_f 0.0908 (0.0175) loss_d 0.0001 (0.0015) lr 5e-05 epoch [23/25][170/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:16:11 loss_g -5.3465 (-5.4694) loss_f 0.0024 (0.0178) loss_d 0.0001 (0.0015) lr 5e-05 epoch [23/25][180/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:16:03 loss_g -4.9294 (-5.4522) loss_f 0.0148 (0.0176) loss_d 0.0051 (0.0014) lr 5e-05 epoch [23/25][190/446] time 0.828 (0.832) data 0.000 (0.001) eta 0:15:54 loss_g -3.1781 (-5.4582) loss_f 0.0127 (0.0174) loss_d 0.0003 (0.0014) lr 5e-05 epoch [23/25][200/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:15:46 loss_g -5.1766 (-5.4454) loss_f 0.0067 (0.0169) loss_d 0.0006 (0.0014) lr 5e-05 epoch [23/25][210/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:15:37 loss_g -4.7592 (-5.4431) loss_f 0.0594 (0.0177) loss_d 0.0002 (0.0013) lr 5e-05 epoch [23/25][220/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:15:29 loss_g -3.7452 (-5.4447) loss_f 0.0014 (0.0175) loss_d 0.0001 (0.0013) lr 5e-05 epoch [23/25][230/446] time 0.825 (0.831) data 0.000 (0.001) eta 0:15:21 loss_g -3.7472 (-5.4226) loss_f 0.0062 (0.0171) loss_d 0.0001 (0.0013) lr 5e-05 epoch [23/25][240/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:15:12 loss_g -6.8910 (-5.4209) loss_f 0.0226 (0.0169) loss_d 0.0071 (0.0015) lr 5e-05 epoch [23/25][250/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:15:04 loss_g -5.2476 (-5.4140) loss_f 0.0065 (0.0170) loss_d 0.0004 (0.0015) lr 5e-05 epoch [23/25][260/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:14:56 loss_g -4.2130 (-5.3907) loss_f 0.0067 (0.0167) loss_d 0.0003 (0.0015) lr 5e-05 epoch [23/25][270/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:14:47 loss_g -4.8661 (-5.4162) loss_f 0.1309 (0.0167) loss_d 0.0002 (0.0015) lr 5e-05 epoch [23/25][280/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:14:39 loss_g -5.0400 (-5.4266) loss_f 0.0032 (0.0166) loss_d 0.0001 (0.0014) lr 5e-05 epoch [23/25][290/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:14:31 loss_g -4.2009 (-5.4278) loss_f 0.0855 (0.0168) loss_d 0.0013 (0.0014) lr 5e-05 epoch [23/25][300/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:14:22 loss_g -5.0241 (-5.4399) loss_f 0.0301 (0.0172) loss_d 0.0008 (0.0014) lr 5e-05 epoch [23/25][310/446] time 0.827 (0.831) data 0.000 (0.001) eta 0:14:14 loss_g -2.6612 (-5.4059) loss_f 0.0062 (0.0172) loss_d 0.0003 (0.0014) lr 5e-05 epoch [23/25][320/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:14:06 loss_g -5.2070 (-5.4115) loss_f 0.0033 (0.0182) loss_d 0.0003 (0.0014) lr 5e-05 epoch [23/25][330/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:13:58 loss_g -7.0469 (-5.4094) loss_f 0.0017 (0.0180) loss_d 0.0002 (0.0014) lr 5e-05 epoch [23/25][340/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:13:49 loss_g -2.7202 (-5.3949) loss_f 0.0057 (0.0178) loss_d 0.0007 (0.0014) lr 5e-05 epoch [23/25][350/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:13:41 loss_g -5.5319 (-5.3553) loss_f 0.0010 (0.0178) loss_d 0.0001 (0.0015) lr 5e-05 epoch [23/25][360/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:13:33 loss_g -6.7241 (-5.3451) loss_f 0.0059 (0.0178) loss_d 0.0001 (0.0015) lr 5e-05 epoch [23/25][370/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:13:24 loss_g -6.2534 (-5.3377) loss_f 0.0098 (0.0176) loss_d 0.0001 (0.0015) lr 5e-05 epoch [23/25][380/446] time 0.833 (0.831) data 0.000 (0.001) eta 0:13:16 loss_g -4.4229 (-5.3514) loss_f 0.0373 (0.0177) loss_d 0.0001 (0.0014) lr 5e-05 epoch [23/25][390/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:13:08 loss_g -5.0894 (-5.3600) loss_f 0.0034 (0.0177) loss_d 0.0003 (0.0014) lr 5e-05 epoch [23/25][400/446] time 0.832 (0.831) data 0.000 (0.001) eta 0:12:59 loss_g -5.2138 (-5.3717) loss_f 0.0453 (0.0176) loss_d 0.0001 (0.0014) lr 5e-05 epoch [23/25][410/446] time 0.831 (0.831) data 0.000 (0.001) eta 0:12:51 loss_g -5.8737 (-5.3810) loss_f 0.0082 (0.0182) loss_d 0.0005 (0.0014) lr 5e-05 epoch [23/25][420/446] time 0.827 (0.831) data 0.000 (0.001) eta 0:12:43 loss_g -5.2211 (-5.3844) loss_f 0.0015 (0.0189) loss_d 0.0004 (0.0014) lr 5e-05 epoch [23/25][430/446] time 0.830 (0.831) data 0.000 (0.001) eta 0:12:34 loss_g -4.8949 (-5.3803) loss_f 0.0424 (0.0188) loss_d 0.0012 (0.0014) lr 5e-05 epoch [23/25][440/446] time 0.828 (0.831) data 0.000 (0.001) eta 0:12:26 loss_g -5.6423 (-5.3779) loss_f 0.0010 (0.0187) loss_d 0.0006 (0.0014) lr 5e-05 Do evaluation on test set => result * total: 2,048 * correct: 1,594 * accuracy: 77.83% * error: 22.17% epoch [24/25][10/446] time 0.831 (0.853) data 0.000 (0.022) eta 0:12:32 loss_g -6.4274 (-5.1046) loss_f 0.0155 (0.0259) loss_d 0.0013 (0.0006) lr 5e-05 epoch [24/25][20/446] time 0.831 (0.841) data 0.000 (0.011) eta 0:12:13 loss_g -3.3634 (-5.1431) loss_f 0.0044 (0.0212) loss_d 0.0006 (0.0013) lr 5e-05 epoch [24/25][30/446] time 0.833 (0.838) data 0.000 (0.007) eta 0:12:02 loss_g -2.0575 (-5.1487) loss_f 0.1602 (0.0234) loss_d 0.0002 (0.0038) lr 5e-05 epoch [24/25][40/446] time 0.831 (0.836) data 0.000 (0.005) eta 0:11:51 loss_g -4.3858 (-5.2136) loss_f 0.0682 (0.0237) loss_d 0.0013 (0.0031) lr 5e-05 epoch [24/25][50/446] time 0.831 (0.835) data 0.000 (0.004) eta 0:11:42 loss_g -4.6206 (-5.1895) loss_f 0.0127 (0.0221) loss_d 0.0001 (0.0026) lr 5e-05 epoch [24/25][60/446] time 0.833 (0.834) data 0.000 (0.004) eta 0:11:34 loss_g -6.0011 (-5.1398) loss_f 0.0060 (0.0221) loss_d 0.0003 (0.0025) lr 5e-05 epoch [24/25][70/446] time 0.832 (0.834) data 0.000 (0.003) eta 0:11:25 loss_g -6.9946 (-5.1664) loss_f 0.0003 (0.0202) loss_d 0.0006 (0.0022) lr 5e-05 epoch [24/25][80/446] time 0.832 (0.833) data 0.000 (0.003) eta 0:11:16 loss_g -5.7807 (-5.2726) loss_f 0.0074 (0.0197) loss_d 0.0008 (0.0020) lr 5e-05 epoch [24/25][90/446] time 0.829 (0.833) data 0.000 (0.002) eta 0:11:08 loss_g -7.5958 (-5.1768) loss_f 0.0043 (0.0190) loss_d 0.0083 (0.0020) lr 5e-05 epoch [24/25][100/446] time 0.831 (0.833) data 0.000 (0.002) eta 0:10:59 loss_g -1.8866 (-5.1744) loss_f 0.0470 (0.0190) loss_d 0.0059 (0.0019) lr 5e-05 epoch [24/25][110/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:10:51 loss_g -4.8990 (-5.1529) loss_f 0.0015 (0.0181) loss_d 0.0004 (0.0018) lr 5e-05 epoch [24/25][120/446] time 0.830 (0.833) data 0.000 (0.002) eta 0:10:42 loss_g -5.5102 (-5.1321) loss_f 0.0006 (0.0175) loss_d 0.0036 (0.0018) lr 5e-05 epoch [24/25][130/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:10:34 loss_g -5.4004 (-5.1828) loss_f 0.0066 (0.0164) loss_d 0.0022 (0.0018) lr 5e-05 epoch [24/25][140/446] time 0.832 (0.833) data 0.000 (0.002) eta 0:10:26 loss_g -6.2932 (-5.1449) loss_f 0.0081 (0.0162) loss_d 0.0001 (0.0017) lr 5e-05 epoch [24/25][150/446] time 0.831 (0.832) data 0.000 (0.002) eta 0:10:17 loss_g -5.2236 (-5.2113) loss_f 0.0194 (0.0159) loss_d 0.0005 (0.0017) lr 5e-05 epoch [24/25][160/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:10:09 loss_g -4.7198 (-5.1973) loss_f 0.0050 (0.0168) loss_d 0.0007 (0.0017) lr 5e-05 epoch [24/25][170/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:10:00 loss_g -5.1032 (-5.1806) loss_f 0.0075 (0.0162) loss_d 0.0016 (0.0017) lr 5e-05 epoch [24/25][180/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:09:52 loss_g -7.3538 (-5.1934) loss_f 0.0183 (0.0161) loss_d 0.0100 (0.0019) lr 5e-05 epoch [24/25][190/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:09:44 loss_g -4.3795 (-5.2218) loss_f 0.0205 (0.0169) loss_d 0.0001 (0.0019) lr 5e-05 epoch [24/25][200/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:09:35 loss_g -5.1131 (-5.2027) loss_f 0.0031 (0.0190) loss_d 0.0002 (0.0023) lr 5e-05 epoch [24/25][210/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:09:27 loss_g -7.4966 (-5.2133) loss_f 0.0170 (0.0193) loss_d 0.0000 (0.0022) lr 5e-05 epoch [24/25][220/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:09:19 loss_g -6.8069 (-5.2149) loss_f 0.0035 (0.0200) loss_d 0.0001 (0.0022) lr 5e-05 epoch [24/25][230/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:09:10 loss_g -6.9514 (-5.2252) loss_f 0.0020 (0.0212) loss_d 0.0001 (0.0021) lr 5e-05 epoch [24/25][240/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:09:02 loss_g -5.4013 (-5.2198) loss_f 0.0081 (0.0210) loss_d 0.0002 (0.0020) lr 5e-05 epoch [24/25][250/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:08:54 loss_g -5.1901 (-5.2022) loss_f 0.0020 (0.0216) loss_d 0.0008 (0.0020) lr 5e-05 epoch [24/25][260/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:08:45 loss_g -5.8588 (-5.2251) loss_f 0.0135 (0.0215) loss_d 0.0005 (0.0019) lr 5e-05 epoch [24/25][270/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:08:37 loss_g -5.3343 (-5.2425) loss_f 0.0357 (0.0216) loss_d 0.0001 (0.0019) lr 5e-05 epoch [24/25][280/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:08:29 loss_g -6.0742 (-5.2590) loss_f 0.0044 (0.0216) loss_d 0.0002 (0.0018) lr 5e-05 epoch [24/25][290/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:08:20 loss_g -3.0911 (-5.2317) loss_f 0.0060 (0.0213) loss_d 0.0005 (0.0018) lr 5e-05 epoch [24/25][300/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:08:12 loss_g -8.3368 (-5.2410) loss_f 0.0015 (0.0214) loss_d 0.0015 (0.0018) lr 5e-05 epoch [24/25][310/446] time 0.828 (0.832) data 0.000 (0.001) eta 0:08:04 loss_g -4.1135 (-5.2534) loss_f 0.0039 (0.0210) loss_d 0.0008 (0.0017) lr 5e-05 epoch [24/25][320/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:07:55 loss_g -6.7581 (-5.2764) loss_f 0.0084 (0.0210) loss_d 0.0006 (0.0017) lr 5e-05 epoch [24/25][330/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:07:47 loss_g -5.4560 (-5.2713) loss_f 0.0088 (0.0206) loss_d 0.0001 (0.0017) lr 5e-05 epoch [24/25][340/446] time 0.827 (0.832) data 0.000 (0.001) eta 0:07:39 loss_g -4.6467 (-5.2919) loss_f 0.0047 (0.0207) loss_d 0.0005 (0.0016) lr 5e-05 epoch [24/25][350/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:07:30 loss_g -4.8175 (-5.2724) loss_f 0.0277 (0.0214) loss_d 0.0003 (0.0016) lr 5e-05 epoch [24/25][360/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:07:22 loss_g -6.4309 (-5.2901) loss_f 0.0043 (0.0215) loss_d 0.0002 (0.0016) lr 5e-05 epoch [24/25][370/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:07:14 loss_g -4.7259 (-5.2905) loss_f 0.0207 (0.0213) loss_d 0.0140 (0.0016) lr 5e-05 epoch [24/25][380/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:07:05 loss_g -5.2540 (-5.2955) loss_f 0.0076 (0.0209) loss_d 0.0000 (0.0016) lr 5e-05 epoch [24/25][390/446] time 0.824 (0.832) data 0.000 (0.001) eta 0:06:57 loss_g -4.2126 (-5.3094) loss_f 0.0013 (0.0205) loss_d 0.0008 (0.0016) lr 5e-05 epoch [24/25][400/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:06:49 loss_g -4.3271 (-5.3201) loss_f 0.0437 (0.0205) loss_d 0.0004 (0.0016) lr 5e-05 epoch [24/25][410/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:06:40 loss_g -6.6369 (-5.3382) loss_f 0.0246 (0.0202) loss_d 0.0001 (0.0015) lr 5e-05 epoch [24/25][420/446] time 0.829 (0.832) data 0.000 (0.001) eta 0:06:32 loss_g -4.9438 (-5.3519) loss_f 0.0466 (0.0201) loss_d 0.0002 (0.0015) lr 5e-05 epoch [24/25][430/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:06:24 loss_g -6.6213 (-5.3582) loss_f 0.0149 (0.0200) loss_d 0.0024 (0.0016) lr 5e-05 epoch [24/25][440/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:06:15 loss_g -3.7775 (-5.3635) loss_f 0.0882 (0.0203) loss_d 0.0001 (0.0015) lr 5e-05 Do evaluation on test set => result * total: 2,048 * correct: 1,595 * accuracy: 77.88% * error: 22.12% epoch [25/25][10/446] time 0.830 (0.850) data 0.000 (0.019) eta 0:06:10 loss_g -6.1521 (-5.7520) loss_f 0.0024 (0.0063) loss_d 0.0001 (0.0023) lr 5e-05 epoch [25/25][20/446] time 0.831 (0.841) data 0.000 (0.010) eta 0:05:58 loss_g -5.9675 (-5.7404) loss_f 0.0015 (0.0056) loss_d 0.0001 (0.0017) lr 5e-05 epoch [25/25][30/446] time 0.833 (0.838) data 0.000 (0.007) eta 0:05:48 loss_g -3.0550 (-5.3947) loss_f 0.0100 (0.0084) loss_d 0.0013 (0.0013) lr 5e-05 epoch [25/25][40/446] time 0.830 (0.836) data 0.000 (0.005) eta 0:05:39 loss_g -6.2909 (-5.4747) loss_f 0.0346 (0.0105) loss_d 0.0032 (0.0046) lr 5e-05 epoch [25/25][50/446] time 0.832 (0.835) data 0.000 (0.004) eta 0:05:30 loss_g -6.4543 (-5.4543) loss_f 0.0070 (0.0158) loss_d 0.0003 (0.0038) lr 5e-05 epoch [25/25][60/446] time 0.831 (0.835) data 0.000 (0.003) eta 0:05:22 loss_g -7.4600 (-5.4822) loss_f 0.0075 (0.0190) loss_d 0.0004 (0.0035) lr 5e-05 epoch [25/25][70/446] time 0.830 (0.834) data 0.000 (0.003) eta 0:05:13 loss_g -6.7845 (-5.4663) loss_f 0.0020 (0.0176) loss_d 0.0002 (0.0032) lr 5e-05 epoch [25/25][80/446] time 0.831 (0.834) data 0.000 (0.002) eta 0:05:05 loss_g -4.3563 (-5.4562) loss_f 0.0325 (0.0168) loss_d 0.0009 (0.0028) lr 5e-05 epoch [25/25][90/446] time 0.830 (0.833) data 0.000 (0.002) eta 0:04:56 loss_g -6.7685 (-5.4570) loss_f 0.0018 (0.0169) loss_d 0.0029 (0.0026) lr 5e-05 epoch [25/25][100/446] time 0.831 (0.833) data 0.000 (0.002) eta 0:04:48 loss_g -3.9238 (-5.4161) loss_f 0.0068 (0.0170) loss_d 0.0058 (0.0025) lr 5e-05 epoch [25/25][110/446] time 0.828 (0.833) data 0.000 (0.002) eta 0:04:39 loss_g -4.9468 (-5.3925) loss_f 0.0013 (0.0166) loss_d 0.0002 (0.0023) lr 5e-05 epoch [25/25][120/446] time 0.830 (0.832) data 0.000 (0.002) eta 0:04:31 loss_g -3.6774 (-5.4408) loss_f 0.0032 (0.0164) loss_d 0.0002 (0.0022) lr 5e-05 epoch [25/25][130/446] time 0.832 (0.832) data 0.000 (0.002) eta 0:04:23 loss_g -5.0391 (-5.4071) loss_f 0.0016 (0.0168) loss_d 0.0001 (0.0021) lr 5e-05 epoch [25/25][140/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:04:14 loss_g -4.8026 (-5.4190) loss_f 0.0029 (0.0162) loss_d 0.0008 (0.0021) lr 5e-05 epoch [25/25][150/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:04:06 loss_g -4.9014 (-5.3481) loss_f 0.0617 (0.0166) loss_d 0.0003 (0.0020) lr 5e-05 epoch [25/25][160/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:03:57 loss_g -5.1211 (-5.3890) loss_f 0.0008 (0.0162) loss_d 0.0001 (0.0019) lr 5e-05 epoch [25/25][170/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:03:49 loss_g -7.4720 (-5.4213) loss_f 0.0039 (0.0157) loss_d 0.0031 (0.0018) lr 5e-05 epoch [25/25][180/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:03:41 loss_g -6.2082 (-5.4587) loss_f 0.0032 (0.0155) loss_d 0.0001 (0.0018) lr 5e-05 epoch [25/25][190/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:03:33 loss_g -5.4426 (-5.4621) loss_f 0.0169 (0.0153) loss_d 0.0008 (0.0017) lr 5e-05 epoch [25/25][200/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:03:24 loss_g -4.0777 (-5.4371) loss_f 0.0080 (0.0149) loss_d 0.0001 (0.0017) lr 5e-05 epoch [25/25][210/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:03:16 loss_g -5.8024 (-5.4271) loss_f 0.0510 (0.0152) loss_d 0.0003 (0.0017) lr 5e-05 epoch [25/25][220/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:03:08 loss_g -4.7915 (-5.4289) loss_f 0.0196 (0.0151) loss_d 0.0004 (0.0016) lr 5e-05 epoch [25/25][230/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:02:59 loss_g -3.8339 (-5.4101) loss_f 0.0321 (0.0156) loss_d 0.0001 (0.0016) lr 5e-05 epoch [25/25][240/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:02:51 loss_g -6.4736 (-5.4361) loss_f 0.0039 (0.0158) loss_d 0.0012 (0.0016) lr 5e-05 epoch [25/25][250/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:02:43 loss_g -5.0991 (-5.4530) loss_f 0.0107 (0.0156) loss_d 0.0000 (0.0016) lr 5e-05 epoch [25/25][260/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:02:34 loss_g -5.5067 (-5.4521) loss_f 0.0040 (0.0159) loss_d 0.0147 (0.0016) lr 5e-05 epoch [25/25][270/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:02:26 loss_g -7.3027 (-5.4665) loss_f 0.0014 (0.0158) loss_d 0.0003 (0.0016) lr 5e-05 epoch [25/25][280/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:02:18 loss_g -6.9573 (-5.4756) loss_f 0.0074 (0.0157) loss_d 0.0001 (0.0016) lr 5e-05 epoch [25/25][290/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:02:09 loss_g -5.7967 (-5.4762) loss_f 0.0041 (0.0155) loss_d 0.0001 (0.0015) lr 5e-05 epoch [25/25][300/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:02:01 loss_g -6.6482 (-5.4919) loss_f 0.0756 (0.0162) loss_d 0.0002 (0.0015) lr 5e-05 epoch [25/25][310/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:01:53 loss_g -4.9833 (-5.4731) loss_f 0.0019 (0.0170) loss_d 0.0003 (0.0015) lr 5e-05 epoch [25/25][320/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:01:44 loss_g -6.9080 (-5.5002) loss_f 0.0005 (0.0169) loss_d 0.0009 (0.0016) lr 5e-05 epoch [25/25][330/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:01:36 loss_g -6.0741 (-5.4980) loss_f 0.0497 (0.0172) loss_d 0.0010 (0.0016) lr 5e-05 epoch [25/25][340/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:01:28 loss_g -5.9043 (-5.4734) loss_f 0.0206 (0.0172) loss_d 0.0005 (0.0015) lr 5e-05 epoch [25/25][350/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:01:19 loss_g -4.6115 (-5.4812) loss_f 0.0024 (0.0170) loss_d 0.0003 (0.0016) lr 5e-05 epoch [25/25][360/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:01:11 loss_g -6.6327 (-5.4801) loss_f 0.0033 (0.0170) loss_d 0.0013 (0.0015) lr 5e-05 epoch [25/25][370/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:01:03 loss_g -7.5987 (-5.4826) loss_f 0.0053 (0.0167) loss_d 0.0037 (0.0015) lr 5e-05 epoch [25/25][380/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:00:54 loss_g -6.2708 (-5.4796) loss_f 0.0030 (0.0164) loss_d 0.0003 (0.0015) lr 5e-05 epoch [25/25][390/446] time 0.831 (0.832) data 0.000 (0.001) eta 0:00:46 loss_g -6.2820 (-5.4910) loss_f 0.0059 (0.0161) loss_d 0.0009 (0.0015) lr 5e-05 epoch [25/25][400/446] time 0.833 (0.832) data 0.000 (0.001) eta 0:00:38 loss_g -6.1222 (-5.4819) loss_f 0.0077 (0.0160) loss_d 0.0005 (0.0015) lr 5e-05 epoch [25/25][410/446] time 0.832 (0.832) data 0.000 (0.001) eta 0:00:29 loss_g -4.2778 (-5.4798) loss_f 0.0092 (0.0160) loss_d 0.0002 (0.0015) lr 5e-05 epoch [25/25][420/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:00:21 loss_g -6.7672 (-5.4889) loss_f 0.0093 (0.0162) loss_d 0.0005 (0.0014) lr 5e-05 epoch [25/25][430/446] time 0.830 (0.832) data 0.000 (0.001) eta 0:00:13 loss_g -5.4670 (-5.4926) loss_f 0.0008 (0.0162) loss_d 0.0000 (0.0014) lr 5e-05 epoch [25/25][440/446] time 0.828 (0.832) data 0.000 (0.001) eta 0:00:04 loss_g -4.6850 (-5.4993) loss_f 0.0433 (0.0167) loss_d 0.0002 (0.0014) lr 5e-05 Finished training Do evaluation on test set => result * total: 2,048 * correct: 1,626 * accuracy: 79.39% * error: 20.61% Checkpoint saved to "output/PACS_resnet18_art_painting_r0/F/model.pth.tar-25" Checkpoint saved to "output/PACS_resnet18_art_painting_r0/D/model.pth.tar-25" Checkpoint saved to "output/PACS_resnet18_art_painting_r0/G/model.pth.tar-25" Elapsed: 2:34:36