upscaler / ESRGAN /UniversalUpscaler /UniversalUpscalerV2-Sharper.log
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21-03-31 11:46:15.458 - INFO: name: 4x_UniversalUpscalerV2-Sharper
use_tb_logger: True
model: srragan
scale: 4
gpu_ids: [0]
use_amp: True
use_swa: True
datasets:[
train:[
name: DIV2K
mode: LRHRC
dataroot_HR: ['..\\datasets\\train\\hr\\hrRealism\\Original', '..\\datasets\\train\\hr\\hrRealism\\Point']
dataroot_LR: ['..\\datasets\\train\\lr\\lrUniversal\\lrGaussian', '..\\datasets\\train\\lr\\lrUniversal\\lrPoint']
subset_file: None
use_shuffle: True
znorm: False
n_workers: 4
batch_size: 4
virtual_batch_size: 4
HR_size: 128
image_channels: 3
dataroot_kernels: ../training/kernels/results/
lr_downscale: True
lr_downscale_types: [1, 2, 777]
use_flip: True
use_rot: True
hr_rrot: False
lr_blur: False
lr_blur_types: ['gaussian', 'clean', 'clean', 'clean']
noise_data: ../noise_patches/normal/
lr_noise: False
lr_noise_types: ['JPEG', 'clean', 'clean', 'clean', 'clean']
lr_noise2: False
lr_noise_types2: ['dither', 'dither', 'clean', 'clean']
hr_noise: False
hr_noise_types: ['gaussian', 'clean', 'clean', 'clean', 'clean']
phase: train
scale: 4
data_type: img
]
val:[
name: val_images
mode: LRHROTF
dataroot_HR: ..\datasets\val\hr\hrUniversal
dataroot_LR: ..\datasets\val\lr\lrUniversal\Sharper
znorm: False
lr_downscale: False
lr_downscale_types: [1, 2]
phase: val
scale: 4
data_type: img
]
]
path:[
strict: False
root: C:\nn\BasicSR
pretrain_model_G: ..\experiments\pretrained_models\RRDB_ESRGAN_x4.pth
resume_state: ..\experiments\4x_UniversalUpscalerV2-Sharper\training_state\latest.state
experiments_root: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper
models: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models
training_state: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\training_state
log: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper
val_images: C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\val_images
]
network_G:[
strict: False
which_model_G: RRDB_net
norm_type: None
mode: CNA
nf: 64
nb: 23
nr: 3
in_nc: 3
out_nc: 3
gc: 32
group: 1
convtype: Conv2D
net_act: leakyrelu
gaussian: True
plus: False
scale: 4
]
network_D:[
strict: True
which_model_D: multiscale
norm_type: batch
act_type: leakyrelu
mode: CNA
nf: 64
in_nc: 3
nlayer: 3
num_D: 3
]
train:[
lr_G: 0.0001
weight_decay_G: 0
beta1_G: 0.9
lr_D: 0.0001
weight_decay_D: 0
beta1_D: 0.9
lr_scheme: MultiStepLR
lr_gamma: 0.5
swa_start_iter: 100000
swa_lr: 0.0001
swa_anneal_epochs: 10
swa_anneal_strategy: cos
pixel_criterion: l1
pixel_weight: 0.1
cx_weight: 0.5
cx_type: contextual
cx_vgg_layers:[
conv_3_2: 1
conv_3_1: 1
conv_4_2: 1
conv_4_1: 1
conv_5_2: 1
conv_5_1: 1
]
ssim_type: ms-ssim
ssim_weight: 1
gan_type: vanilla
gan_weight: 0.009
manual_seed: 0
niter: 500000.0
val_freq: 1000
metrics: psnr,ssim,lpips
overwrite_val_imgs: None
val_comparison: None
lr_steps: [50000, 100000, 200000, 300000]
]
logger:[
print_freq: 200
save_checkpoint_freq: 1000
overwrite_chkp: False
]
is_train: True
21-03-31 11:46:15.585 - INFO: Random seed: 0
21-03-31 11:46:16.779 - INFO: Set [resume_state] to ..\experiments\4x_UniversalUpscalerV2-Sharper\training_state\latest.state
21-03-31 11:46:16.780 - INFO: Resuming training from epoch: 405, iter: 47409.
21-03-31 11:46:16.780 - WARNING: pretrain_model paths will be ignored when resuming training from a .state file.
21-03-31 11:46:16.780 - INFO: Set [pretrain_model_G] to C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models\latest_G.pth
21-03-31 11:46:16.780 - INFO: Set [pretrain_model_D] to C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models\latest_D.pth
21-03-31 11:46:16.798 - INFO: Dataset [LRHRDataset - DIV2K] is created.
21-03-31 11:46:16.798 - INFO: Number of train images: 470, iters: 118
21-03-31 11:46:16.798 - INFO: Total epochs needed: 4238 for iters 500,000
21-03-31 11:46:16.799 - INFO: Dataset [LRHRDataset - val_images] is created.
21-03-31 11:46:16.799 - INFO: Number of val images in [val_images]: 3
21-03-31 11:46:18.259 - INFO: AMP library available
21-03-31 11:46:18.385 - INFO: Initialization method [kaiming]
21-03-31 11:46:18.595 - INFO: Initialization method [kaiming]
21-03-31 11:46:18.651 - INFO: Loading pretrained model for G [C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models\latest_G.pth] ...
21-03-31 11:46:18.857 - INFO: Loading pretrained model for D [C:\nn\BasicSR\experiments\4x_UniversalUpscalerV2-Sharper\models\latest_D.pth] ...
21-03-31 11:46:20.092 - INFO: SWA enabled. Starting on iter: 100000, lr: 0.0001
21-03-31 11:46:20.094 - INFO: AMP enabled
21-03-31 11:46:20.103 - INFO: Network G structure: DataParallel - RRDBNet, with parameters: 16,697,987
21-03-31 11:46:20.103 - INFO: Network D structure: DataParallel - MultiscaleDiscriminator, with parameters: 8,296,899
21-03-31 11:46:20.103 - INFO: Model [SRRaGANModel] is created.
21-03-31 11:46:20.184 - INFO: Start training from epoch: 405, iter: 47409
21-03-31 11:47:13.302 - INFO: End of epoch 405 / 4238 Time Taken: 53.1182 sec
21-03-31 11:47:46.948 - INFO: <epoch:406, iter: 47,600, lr:1.000e-04, t:-1.0000s, td:0.0363s, eta:0.0000h> pix-l1: 3.7166e-03 contextual: 3.3082e+00 l_g_gan: 8.4796e-02 ms-ssim: 6.9365e-02 l_d_real: 2.2822e+00 l_d_fake: 2.2749e+00 D_real: 5.3203e+00 D_fake: -2.7695e+00
21-03-31 11:48:04.642 - INFO: End of epoch 406 / 4238 Time Taken: 51.3399 sec
21-03-31 11:48:55.973 - INFO: End of epoch 407 / 4238 Time Taken: 51.3314 sec
21-03-31 11:49:15.741 - INFO: <epoch:408, iter: 47,800, lr:1.000e-04, t:-1.0000s, td:0.0345s, eta:0.0000h> pix-l1: 4.3929e-03 contextual: 5.5016e+00 l_g_gan: 1.3587e-01 ms-ssim: 1.0290e-01 l_d_real: 2.7996e-01 l_d_fake: 2.7934e-01 D_real: 1.0500e+01 D_fake: 2.3945e+00
21-03-31 11:49:47.316 - INFO: End of epoch 408 / 4238 Time Taken: 51.3431 sec
21-03-31 11:50:40.618 - INFO: End of epoch 409 / 4238 Time Taken: 53.3003 sec
21-03-31 11:50:47.425 - INFO: <epoch:410, iter: 48,000, lr:1.000e-04, t:88.7919s, td:0.0385s, eta:11148.3134h> pix-l1: 6.7629e-03 contextual: 5.3637e+00 l_g_gan: 4.8044e-02 ms-ssim: 1.0157e-01 l_d_real: 1.2150e+00 l_d_fake: 1.2482e+00 D_real: 1.6781e+01 D_fake: 1.3781e+01
21-03-31 11:50:48.045 - INFO: Models and training states saved.
21-03-31 11:50:56.238 - INFO: # Validation # PSNR: 29.89, SSIM: 0.80248, LPIPS: 0.061825
21-03-31 11:50:56.238 - INFO: <epoch:410, iter: 48,000> PSNR: 29.89, SSIM: 0.80248, LPIPS: 0.061825
21-03-31 11:51:43.840 - INFO: End of epoch 410 / 4238 Time Taken: 63.2222 sec
21-03-31 11:52:25.375 - INFO: <epoch:411, iter: 48,200, lr:1.000e-04, t:91.6841s, td:0.0181s, eta:11506.3556h> pix-l1: 2.8974e-03 contextual: 2.7923e+00 l_g_gan: 1.0437e-01 ms-ssim: 3.2632e-02 l_d_real: 4.3403e-01 l_d_fake: 4.3139e-01 D_real: 2.5605e+00 D_fake: -4.7188e+00
21-03-31 11:52:37.566 - INFO: End of epoch 411 / 4238 Time Taken: 53.7260 sec
21-03-31 11:53:31.202 - INFO: End of epoch 412 / 4238 Time Taken: 53.6365 sec
21-03-31 11:53:58.252 - INFO: <epoch:413, iter: 48,400, lr:1.000e-04, t:97.9499s, td:0.0360s, eta:12287.2685h> pix-l1: 4.2475e-03 contextual: 4.7521e+00 l_g_gan: 1.0526e-01 ms-ssim: 1.0570e-01 l_d_real: 5.8233e-01 l_d_fake: 5.7337e-01 D_real: 1.0867e+01 D_fake: 2.7910e+00
21-03-31 11:54:24.862 - INFO: End of epoch 413 / 4238 Time Taken: 53.6595 sec
21-03-31 11:55:19.934 - INFO: End of epoch 414 / 4238 Time Taken: 55.0721 sec
21-03-31 11:55:32.494 - INFO: <epoch:415, iter: 48,600, lr:1.000e-04, t:92.8770s, td:0.0362s, eta:11645.7399h> pix-l1: 5.6514e-03 contextual: 4.3128e+00 l_g_gan: 6.4912e-02 ms-ssim: 8.7496e-02 l_d_real: 1.9327e+00 l_d_fake: 1.9194e+00 D_real: 9.1328e+00 D_fake: 3.3770e+00
21-03-31 11:56:13.497 - INFO: End of epoch 415 / 4238 Time Taken: 53.5622 sec
21-03-31 11:57:01.257 - INFO: <epoch:416, iter: 48,800, lr:1.000e-04, t:94.2421s, td:0.0182s, eta:11811.6721h> pix-l1: 4.5167e-03 contextual: 3.8049e+00 l_g_gan: 1.1617e-01 ms-ssim: 7.3803e-02 l_d_real: 6.4273e-01 l_d_fake: 6.4634e-01 D_real: -2.0391e+00 D_fake: -9.1484e+00
21-03-31 11:57:06.971 - INFO: End of epoch 416 / 4238 Time Taken: 53.4740 sec
21-03-31 11:58:00.440 - INFO: End of epoch 417 / 4238 Time Taken: 53.4688 sec
21-03-31 11:58:33.826 - INFO: <epoch:418, iter: 49,000, lr:1.000e-04, t:88.7627s, td:0.0362s, eta:11119.9969h> pix-l1: 4.0261e-03 contextual: 3.1435e+00 l_g_gan: 1.0925e-01 ms-ssim: 6.1865e-02 l_d_real: 4.8062e-01 l_d_fake: 4.3117e-01 D_real: -7.2031e+00 D_fake: -1.3484e+01
21-03-31 11:58:34.445 - INFO: Models and training states saved.
21-03-31 11:58:40.236 - INFO: # Validation # PSNR: 29.944, SSIM: 0.8071, LPIPS: 0.057841
21-03-31 11:58:40.236 - INFO: <epoch:418, iter: 49,000> PSNR: 29.944, SSIM: 0.8071, LPIPS: 0.057841
21-03-31 11:59:00.413 - INFO: End of epoch 418 / 4238 Time Taken: 59.9726 sec
21-03-31 11:59:53.870 - INFO: End of epoch 419 / 4238 Time Taken: 53.4570 sec
21-03-31 12:00:12.787 - INFO: <epoch:420, iter: 49,200, lr:1.000e-04, t:92.5696s, td:0.0362s, eta:11591.7691h> pix-l1: 2.7455e-03 contextual: 4.9563e+00 l_g_gan: 1.2000e-01 ms-ssim: 7.3318e-02 l_d_real: 6.0698e-01 l_d_fake: 6.1054e-01 D_real: 6.5000e+00 D_fake: -3.0293e+00
21-03-31 12:00:47.406 - INFO: End of epoch 420 / 4238 Time Taken: 53.5358 sec
21-03-31 12:01:40.936 - INFO: End of epoch 421 / 4238 Time Taken: 53.5301 sec
21-03-31 12:01:45.432 - INFO: <epoch:422, iter: 49,400, lr:1.000e-04, t:98.9609s, td:0.0362s, eta:12386.6080h> pix-l1: 3.4234e-03 contextual: 3.0650e+00 l_g_gan: 6.4141e-02 ms-ssim: 6.4404e-02 l_d_real: 1.2902e+00 l_d_fake: 1.1972e+00 D_real: 3.3145e+00 D_fake: -8.0664e-01
21-03-31 12:02:34.481 - INFO: End of epoch 422 / 4238 Time Taken: 53.5449 sec
21-03-31 12:03:14.218 - INFO: <epoch:423, iter: 49,600, lr:1.000e-04, t:92.6446s, td:0.0183s, eta:11590.8676h> pix-l1: 5.5306e-03 contextual: 4.1525e+00 l_g_gan: 5.4306e-02 ms-ssim: 7.9583e-02 l_d_real: 8.5997e-01 l_d_fake: 8.3885e-01 D_real: 8.1562e+00 D_fake: 4.8867e+00
21-03-31 12:03:28.064 - INFO: End of epoch 423 / 4238 Time Taken: 53.5829 sec
21-03-31 12:04:21.646 - INFO: End of epoch 424 / 4238 Time Taken: 53.5818 sec
21-03-31 12:04:46.961 - INFO: <epoch:425, iter: 49,800, lr:1.000e-04, t:88.7864s, td:0.0364s, eta:11103.2364h> pix-l1: 7.5063e-03 contextual: 4.3016e+00 l_g_gan: 1.0665e-01 ms-ssim: 1.0500e-01 l_d_real: 3.9552e-01 l_d_fake: 3.9780e-01 D_real: 1.2453e+01 D_fake: 5.3281e+00
21-03-31 12:05:15.677 - INFO: End of epoch 425 / 4238 Time Taken: 54.0311 sec
21-03-31 12:06:07.451 - INFO: End of epoch 426 / 4238 Time Taken: 51.7729 sec
21-03-31 12:06:17.962 - INFO: <epoch:427, iter: 50,000, lr:1.000e-04, t:92.7434s, td:0.0355s, eta:11592.9242h> pix-l1: 5.1951e-03 contextual: 3.5889e+00 l_g_gan: 1.0157e-01 ms-ssim: 6.5447e-02 l_d_real: 1.2408e+00 l_d_fake: 1.1870e+00 D_real: 5.6719e+00 D_fake: -3.0391e+00
21-03-31 12:06:18.573 - INFO: Models and training states saved.
21-03-31 12:06:24.220 - INFO: # Validation # PSNR: 30.325, SSIM: 0.81798, LPIPS: 0.062532
21-03-31 12:06:24.220 - INFO: <epoch:427, iter: 50,000> PSNR: 30.325, SSIM: 0.81798, LPIPS: 0.062532
21-03-31 12:07:05.406 - INFO: End of epoch 427 / 4238 Time Taken: 57.9546 sec
21-03-31 12:07:49.919 - INFO: <epoch:428, iter: 50,200, lr:5.000e-05, t:91.0012s, td:0.0176s, eta:11370.0930h> pix-l1: 5.2677e-03 contextual: 4.0017e+00 l_g_gan: 6.9651e-02 ms-ssim: 7.7070e-02 l_d_real: 8.8963e-01 l_d_fake: 8.7603e-01 D_real: 1.9727e+00 D_fake: -3.4141e+00
21-03-31 12:07:57.109 - INFO: End of epoch 428 / 4238 Time Taken: 51.7030 sec
21-03-31 12:08:48.833 - INFO: End of epoch 429 / 4238 Time Taken: 51.7246 sec
21-03-31 12:09:19.422 - INFO: <epoch:430, iter: 50,400, lr:5.000e-05, t:91.9567s, td:0.0352s, eta:11484.3676h> pix-l1: 5.8450e-03 contextual: 3.4060e+00 l_g_gan: 1.5198e-01 ms-ssim: 7.5230e-02 l_d_real: 5.2784e-01 l_d_fake: 5.2953e-01 D_real: 1.6469e+01 D_fake: 4.8125e+00
21-03-31 12:09:40.518 - INFO: End of epoch 430 / 4238 Time Taken: 51.6840 sec
21-03-31 12:10:32.341 - INFO: End of epoch 431 / 4238 Time Taken: 51.8235 sec
21-03-31 12:10:49.033 - INFO: <epoch:432, iter: 50,600, lr:5.000e-05, t:89.5022s, td:0.0359s, eta:11172.8627h> pix-l1: 4.3303e-03 contextual: 2.5116e+00 l_g_gan: 8.4789e-02 ms-ssim: 7.2712e-02 l_d_real: 3.2526e-01 l_d_fake: 3.2433e-01 D_real: 1.1250e+01 D_fake: 5.8438e+00
21-03-31 12:11:24.106 - INFO: End of epoch 432 / 4238 Time Taken: 51.7651 sec
21-03-31 12:12:14.769 - INFO: <epoch:433, iter: 50,800, lr:5.000e-05, t:89.6112s, td:0.0176s, eta:11181.4847h> pix-l1: 2.8969e-03 contextual: 3.1546e+00 l_g_gan: 1.0985e-01 ms-ssim: 2.7119e-02 l_d_real: 7.0600e-01 l_d_fake: 7.0486e-01 D_real: -2.9121e+00 D_fake: -1.0102e+01
21-03-31 12:12:15.788 - INFO: End of epoch 433 / 4238 Time Taken: 51.6820 sec
21-03-31 12:13:07.726 - INFO: End of epoch 434 / 4238 Time Taken: 51.9379 sec
21-03-31 12:13:44.518 - INFO: <epoch:435, iter: 51,000, lr:5.000e-05, t:85.7366s, td:0.0358s, eta:10693.2637h> pix-l1: 4.1110e-03 contextual: 3.0192e+00 l_g_gan: 1.2992e-01 ms-ssim: 6.7829e-02 l_d_real: 4.3694e-01 l_d_fake: 4.3953e-01 D_real: -4.7617e+00 D_fake: -1.3984e+01
21-03-31 12:13:45.128 - INFO: Models and training states saved.
21-03-31 12:13:50.800 - INFO: # Validation # PSNR: 30.57, SSIM: 0.81119, LPIPS: 0.055348
21-03-31 12:13:50.800 - INFO: <epoch:435, iter: 51,000> PSNR: 30.57, SSIM: 0.81119, LPIPS: 0.055348
21-03-31 12:14:05.804 - INFO: End of epoch 435 / 4238 Time Taken: 58.0776 sec
21-03-31 12:14:57.597 - INFO: End of epoch 436 / 4238 Time Taken: 51.7922 sec
21-03-31 12:15:22.904 - INFO: <epoch:437, iter: 51,200, lr:5.000e-05, t:89.7484s, td:0.0356s, eta:11188.6322h> pix-l1: 3.5918e-03 contextual: 3.1835e+00 l_g_gan: 6.9029e-02 ms-ssim: 4.3589e-02 l_d_real: 6.9304e-01 l_d_fake: 6.9647e-01 D_real: -3.1465e+00 D_fake: -7.5977e+00
21-03-31 12:15:54.497 - INFO: End of epoch 437 / 4238 Time Taken: 56.9003 sec
21-03-31 12:16:46.868 - INFO: End of epoch 438 / 4238 Time Taken: 52.3708 sec
21-03-31 12:16:55.732 - INFO: <epoch:439, iter: 51,400, lr:5.000e-05, t:98.3859s, td:0.0356s, eta:12259.9710h> pix-l1: 4.5270e-03 contextual: 4.4876e+00 l_g_gan: 1.0468e-01 ms-ssim: 7.4119e-02 l_d_real: 5.5700e-01 l_d_fake: 5.5965e-01 D_real: 7.4062e+00 D_fake: 6.7090e-01
21-03-31 12:17:38.496 - INFO: End of epoch 439 / 4238 Time Taken: 51.6287 sec
21-03-31 12:18:21.334 - INFO: <epoch:440, iter: 51,600, lr:5.000e-05, t:92.8285s, td:0.0176s, eta:11562.3033h> pix-l1: 4.8806e-03 contextual: 6.3426e+00 l_g_gan: 1.3809e-01 ms-ssim: 1.0212e-01 l_d_real: 2.2277e-01 l_d_fake: 2.2304e-01 D_real: 1.5297e+01 D_fake: 6.3828e+00
21-03-31 12:18:30.124 - INFO: End of epoch 440 / 4238 Time Taken: 51.6278 sec
21-03-31 12:19:21.774 - INFO: End of epoch 441 / 4238 Time Taken: 51.6502 sec
21-03-31 12:19:50.694 - INFO: <epoch:442, iter: 51,800, lr:5.000e-05, t:85.6023s, td:0.0351s, eta:10657.4868h> pix-l1: 5.8958e-03 contextual: 4.4285e+00 l_g_gan: 7.3130e-02 ms-ssim: 1.1029e-01 l_d_real: 1.5482e+00 l_d_fake: 1.5589e+00 D_real: 2.1125e+01 D_fake: 1.4898e+01
21-03-31 12:20:13.392 - INFO: End of epoch 442 / 4238 Time Taken: 51.6181 sec
21-03-31 12:21:04.988 - INFO: End of epoch 443 / 4238 Time Taken: 51.5960 sec
21-03-31 12:21:19.977 - INFO: <epoch:444, iter: 52,000, lr:5.000e-05, t:89.3599s, td:0.0352s, eta:11120.3383h> pix-l1: 6.8977e-03 contextual: 5.6909e+00 l_g_gan: 1.1527e-01 ms-ssim: 1.0968e-01 l_d_real: 5.1929e-01 l_d_fake: 5.2015e-01 D_real: 2.1609e+01 D_fake: 1.3945e+01
21-03-31 12:21:20.587 - INFO: Models and training states saved.
21-03-31 12:21:26.235 - INFO: # Validation # PSNR: 30.327, SSIM: 0.81617, LPIPS: 0.057677
21-03-31 12:21:26.235 - INFO: <epoch:444, iter: 52,000> PSNR: 30.327, SSIM: 0.81617, LPIPS: 0.057677
21-03-31 12:22:02.874 - INFO: End of epoch 444 / 4238 Time Taken: 57.8853 sec
21-03-31 12:22:51.878 - INFO: <epoch:445, iter: 52,200, lr:5.000e-05, t:89.2832s, td:0.0176s, eta:11105.8377h> pix-l1: 5.0618e-03 contextual: 5.4639e+00 l_g_gan: 9.0032e-02 ms-ssim: 1.1706e-01 l_d_real: 4.0471e-01 l_d_fake: 3.9272e-01 D_real: 1.1094e+01 D_fake: 4.8555e+00
21-03-31 12:22:54.529 - INFO: End of epoch 445 / 4238 Time Taken: 51.6557 sec
21-03-31 12:23:46.133 - INFO: End of epoch 446 / 4238 Time Taken: 51.6040 sec
21-03-31 12:24:21.201 - INFO: <epoch:447, iter: 52,400, lr:5.000e-05, t:91.9009s, td:0.0351s, eta:11426.3491h> pix-l1: 3.0488e-03 contextual: 3.9280e+00 l_g_gan: 9.9879e-02 ms-ssim: 1.0272e-01 l_d_real: 1.1062e+00 l_d_fake: 1.1130e+00 D_real: 5.1172e+00 D_fake: -4.1914e+00
21-03-31 12:24:37.751 - INFO: End of epoch 447 / 4238 Time Taken: 51.6167 sec
21-03-31 12:25:29.341 - INFO: End of epoch 448 / 4238 Time Taken: 51.5906 sec
21-03-31 12:25:50.478 - INFO: <epoch:449, iter: 52,600, lr:5.000e-05, t:89.3227s, td:0.0352s, eta:11100.8270h> pix-l1: 3.3235e-03 contextual: 4.3546e+00 l_g_gan: 1.2694e-01 ms-ssim: 8.7010e-02 l_d_real: 3.1583e-01 l_d_fake: 3.1675e-01 D_real: 8.0781e+00 D_fake: -1.1973e+00
21-03-31 12:26:20.931 - INFO: End of epoch 449 / 4238 Time Taken: 51.5895 sec
21-03-31 12:27:12.499 - INFO: End of epoch 450 / 4238 Time Taken: 51.5678 sec
21-03-31 12:27:19.709 - INFO: <epoch:451, iter: 52,800, lr:5.000e-05, t:89.2770s, td:0.0351s, eta:11090.1917h> pix-l1: 5.2794e-03 contextual: 4.1793e+00 l_g_gan: 8.6926e-02 ms-ssim: 8.6085e-02 l_d_real: 5.8987e-01 l_d_fake: 6.0256e-01 D_real: 1.4211e+01 D_fake: 7.4375e+00
21-03-31 12:28:04.108 - INFO: End of epoch 451 / 4238 Time Taken: 51.6091 sec
21-03-31 12:28:45.306 - INFO: <epoch:452, iter: 53,000, lr:5.000e-05, t:89.2317s, td:0.0176s, eta:11079.5980h> pix-l1: 8.1621e-04 contextual: 2.1451e+00 l_g_gan: 5.1272e-02 ms-ssim: 1.3928e-02 l_d_real: 9.3570e-01 l_d_fake: 8.3861e-01 D_real: -9.5781e+00 D_fake: -1.2477e+01
21-03-31 12:28:45.942 - INFO: Models and training states saved.
21-03-31 12:28:51.619 - INFO: # Validation # PSNR: 30.256, SSIM: 0.81127, LPIPS: 0.05515
21-03-31 12:28:51.619 - INFO: <epoch:452, iter: 53,000> PSNR: 30.256, SSIM: 0.81127, LPIPS: 0.05515
21-03-31 12:29:02.056 - INFO: End of epoch 452 / 4238 Time Taken: 57.9474 sec
21-03-31 12:29:53.669 - INFO: End of epoch 453 / 4238 Time Taken: 51.6127 sec
21-03-31 12:30:20.945 - INFO: <epoch:454, iter: 53,200, lr:5.000e-05, t:85.5958s, td:0.0351s, eta:10623.3922h> pix-l1: 5.7530e-03 contextual: 4.8315e+00 l_g_gan: 3.4931e-02 ms-ssim: 7.5366e-02 l_d_real: 1.6243e+00 l_d_fake: 1.5897e+00 D_real: 1.2094e+01 D_fake: 1.1930e+01
21-03-31 12:30:45.301 - INFO: End of epoch 454 / 4238 Time Taken: 51.6322 sec
21-03-31 12:31:36.767 - INFO: End of epoch 455 / 4238 Time Taken: 51.4664 sec
21-03-31 12:31:50.093 - INFO: <epoch:456, iter: 53,400, lr:5.000e-05, t:95.6395s, td:0.0351s, eta:11864.6132h> pix-l1: 5.9735e-03 contextual: 3.3702e+00 l_g_gan: 8.2226e-02 ms-ssim: 7.4633e-02 l_d_real: 7.6794e-01 l_d_fake: 7.6824e-01 D_real: 1.4211e+01 D_fake: 8.0469e+00
21-03-31 12:32:28.280 - INFO: End of epoch 456 / 4238 Time Taken: 51.5127 sec
21-03-31 12:33:15.604 - INFO: <epoch:457, iter: 53,600, lr:5.000e-05, t:89.1480s, td:0.0176s, eta:11054.3566h> pix-l1: 3.1341e-03 contextual: 3.1428e+00 l_g_gan: 7.6495e-02 ms-ssim: 3.3359e-02 l_d_real: 6.6063e-01 l_d_fake: 6.5629e-01 D_real: -5.4609e+00 D_fake: -1.0461e+01
21-03-31 12:33:19.888 - INFO: End of epoch 457 / 4238 Time Taken: 51.6080 sec
21-03-31 12:34:11.475 - INFO: End of epoch 458 / 4238 Time Taken: 51.5861 sec
21-03-31 12:34:44.912 - INFO: <epoch:459, iter: 53,800, lr:5.000e-05, t:85.5113s, td:0.0351s, eta:10598.6501h> pix-l1: 2.7104e-03 contextual: 5.2424e+00 l_g_gan: 1.3458e-01 ms-ssim: 9.3847e-02 l_d_real: 3.6049e-01 l_d_fake: 3.5934e-01 D_real: -4.3140e-01 D_fake: -9.4219e+00
21-03-31 12:35:03.110 - INFO: End of epoch 459 / 4238 Time Taken: 51.6345 sec
21-03-31 12:35:54.688 - INFO: End of epoch 460 / 4238 Time Taken: 51.5789 sec
21-03-31 12:36:14.193 - INFO: <epoch:461, iter: 54,000, lr:5.000e-05, t:89.3079s, td:0.0352s, eta:11064.2585h> pix-l1: 4.0816e-03 contextual: 2.9725e+00 l_g_gan: 1.0134e-01 ms-ssim: 5.9975e-02 l_d_real: 7.7091e-01 l_d_fake: 7.7761e-01 D_real: 2.1992e+00 D_fake: -4.3555e+00
21-03-31 12:36:14.797 - INFO: Models and training states saved.
21-03-31 12:36:20.408 - INFO: # Validation # PSNR: 30.802, SSIM: 0.82043, LPIPS: 0.059125
21-03-31 12:36:20.408 - INFO: <epoch:461, iter: 54,000> PSNR: 30.802, SSIM: 0.82043, LPIPS: 0.059125
21-03-31 12:36:52.551 - INFO: End of epoch 461 / 4238 Time Taken: 57.8626 sec
21-03-31 12:37:44.182 - INFO: End of epoch 462 / 4238 Time Taken: 51.6309 sec
21-03-31 12:37:49.752 - INFO: <epoch:463, iter: 54,200, lr:5.000e-05, t:89.2812s, td:0.0351s, eta:11055.9917h> pix-l1: 7.6616e-03 contextual: 5.0697e+00 l_g_gan: 3.7800e-02 ms-ssim: 1.6716e-01 l_d_real: 2.9469e+00 l_d_fake: 2.8967e+00 D_real: 2.2219e+01 D_fake: 1.9719e+01
21-03-31 12:38:35.796 - INFO: End of epoch 463 / 4238 Time Taken: 51.6127 sec
21-03-31 12:39:15.342 - INFO: <epoch:464, iter: 54,400, lr:5.000e-05, t:95.5580s, td:0.0175s, eta:11827.9553h> pix-l1: 6.2875e-03 contextual: 5.2113e+00 l_g_gan: 1.2469e-01 ms-ssim: 1.0214e-01 l_d_real: 3.7716e-01 l_d_fake: 3.7919e-01 D_real: 1.7578e+01 D_fake: 8.7734e+00
21-03-31 12:39:27.446 - INFO: End of epoch 464 / 4238 Time Taken: 51.6505 sec
21-03-31 12:40:19.044 - INFO: End of epoch 465 / 4238 Time Taken: 51.5982 sec
21-03-31 12:40:44.673 - INFO: <epoch:466, iter: 54,600, lr:5.000e-05, t:85.5908s, td:0.0352s, eta:10589.4863h> pix-l1: 4.8752e-03 contextual: 5.2714e+00 l_g_gan: 5.0649e-02 ms-ssim: 9.9954e-02 l_d_real: 1.2235e+00 l_d_fake: 1.1985e+00 D_real: 1.6172e+01 D_fake: 1.2289e+01
21-03-31 12:41:10.647 - INFO: End of epoch 466 / 4238 Time Taken: 51.6026 sec
21-03-31 12:42:02.250 - INFO: End of epoch 467 / 4238 Time Taken: 51.6031 sec
21-03-31 12:42:13.955 - INFO: <epoch:468, iter: 54,800, lr:5.000e-05, t:89.3307s, td:0.0350s, eta:11047.2256h> pix-l1: 2.8566e-03 contextual: 3.3705e+00 l_g_gan: 1.3273e-02 ms-ssim: 4.5396e-02 l_d_real: 4.5957e+00 l_d_fake: 4.6197e+00 D_real: -5.3516e-01 D_fake: 1.2488e-01
21-03-31 12:42:53.804 - INFO: End of epoch 468 / 4238 Time Taken: 51.5539 sec
21-03-31 12:43:39.493 - INFO: <epoch:469, iter: 55,000, lr:5.000e-05, t:89.2818s, td:0.0176s, eta:11036.2263h> pix-l1: 3.3383e-03 contextual: 4.4493e+00 l_g_gan: 1.5807e-01 ms-ssim: 6.5663e-02 l_d_real: 2.8386e-01 l_d_fake: 2.8300e-01 D_real: 1.5820e+00 D_fake: -1.0047e+01
21-03-31 12:43:40.102 - INFO: Models and training states saved.
21-03-31 12:43:45.751 - INFO: # Validation # PSNR: 30.749, SSIM: 0.81738, LPIPS: 0.056922
21-03-31 12:43:45.751 - INFO: <epoch:469, iter: 55,000> PSNR: 30.749, SSIM: 0.81738, LPIPS: 0.056922
21-03-31 12:43:51.686 - INFO: End of epoch 469 / 4238 Time Taken: 57.8815 sec
21-03-31 12:44:43.372 - INFO: End of epoch 470 / 4238 Time Taken: 51.6858 sec
21-03-31 12:45:15.160 - INFO: <epoch:471, iter: 55,200, lr:5.000e-05, t:85.5377s, td:0.0353s, eta:10568.6617h> pix-l1: 4.5702e-03 contextual: 2.8251e+00 l_g_gan: 7.4613e-02 ms-ssim: 7.5318e-02 l_d_real: 1.1012e+00 l_d_fake: 1.1014e+00 D_real: -1.8154e+00 D_fake: -8.0391e+00
21-03-31 12:45:35.008 - INFO: End of epoch 471 / 4238 Time Taken: 51.6355 sec
21-03-31 12:46:26.592 - INFO: End of epoch 472 / 4238 Time Taken: 51.5841 sec
21-03-31 12:46:44.471 - INFO: <epoch:473, iter: 55,400, lr:5.000e-05, t:95.6674s, td:0.0352s, eta:11814.9218h> pix-l1: 4.4298e-03 contextual: 3.3589e+00 l_g_gan: 6.8356e-02 ms-ssim: 7.0295e-02 l_d_real: 9.2888e-01 l_d_fake: 9.3204e-01 D_real: 4.3555e+00 D_fake: -1.5820e-01
21-03-31 12:47:18.223 - INFO: End of epoch 473 / 4238 Time Taken: 51.6303 sec
21-03-31 12:48:09.832 - INFO: End of epoch 474 / 4238 Time Taken: 51.6092 sec
21-03-31 12:48:13.781 - INFO: <epoch:475, iter: 55,600, lr:5.000e-05, t:89.3108s, td:0.0352s, eta:11024.9205h> pix-l1: 2.1078e-03 contextual: 2.5003e+00 l_g_gan: 1.3741e-01 ms-ssim: 3.1535e-02 l_d_real: 4.6428e-01 l_d_fake: 4.6154e-01 D_real: -4.8203e+00 D_fake: -1.4148e+01
21-03-31 12:49:01.425 - INFO: End of epoch 475 / 4238 Time Taken: 51.5932 sec
21-03-31 12:49:39.307 - INFO: <epoch:476, iter: 55,800, lr:5.000e-05, t:89.3097s, td:0.0175s, eta:11019.8282h> pix-l1: 1.7938e-03 contextual: 2.6596e+00 l_g_gan: 4.1738e-02 ms-ssim: 2.5934e-02 l_d_real: 1.5921e+00 l_d_fake: 1.5922e+00 D_real: -1.5297e+01 D_fake: -1.8375e+01
21-03-31 12:49:53.077 - INFO: End of epoch 476 / 4238 Time Taken: 51.6509 sec
21-03-31 12:50:44.672 - INFO: End of epoch 477 / 4238 Time Taken: 51.5944 sec
21-03-31 12:51:08.675 - INFO: <epoch:478, iter: 56,000, lr:5.000e-05, t:85.5267s, td:0.0351s, eta:10548.2916h> pix-l1: 5.5845e-03 contextual: 4.3428e+00 l_g_gan: 1.2742e-01 ms-ssim: 7.7387e-02 l_d_real: 4.3563e-01 l_d_fake: 4.3487e-01 D_real: 8.3828e+00 D_fake: 2.0435e-01
21-03-31 12:51:09.287 - INFO: Models and training states saved.
21-03-31 12:51:14.955 - INFO: # Validation # PSNR: 30.755, SSIM: 0.81536, LPIPS: 0.054339
21-03-31 12:51:14.955 - INFO: <epoch:478, iter: 56,000> PSNR: 30.755, SSIM: 0.81536, LPIPS: 0.054339
21-03-31 12:51:42.522 - INFO: End of epoch 478 / 4238 Time Taken: 57.8498 sec
21-03-31 12:52:34.052 - INFO: End of epoch 479 / 4238 Time Taken: 51.5297 sec
21-03-31 12:52:44.124 - INFO: <epoch:480, iter: 56,200, lr:5.000e-05, t:89.3674s, td:0.0352s, eta:11017.0153h> pix-l1: 5.0907e-03 contextual: 4.3687e+00 l_g_gan: 1.1522e-01 ms-ssim: 9.0509e-02 l_d_real: 7.6643e-01 l_d_fake: 7.6865e-01 D_real: 1.4070e+01 D_fake: 6.4766e+00
21-03-31 12:53:25.645 - INFO: End of epoch 480 / 4238 Time Taken: 51.5925 sec
21-03-31 12:54:09.683 - INFO: <epoch:481, iter: 56,400, lr:5.000e-05, t:95.4494s, td:0.0176s, eta:11761.4853h> pix-l1: 4.0065e-03 contextual: 3.9865e+00 l_g_gan: 7.7772e-02 ms-ssim: 7.5643e-02 l_d_real: 3.8723e-01 l_d_fake: 3.7138e-01 D_real: -2.1074e+00 D_fake: -6.4023e+00
21-03-31 12:54:17.244 - INFO: End of epoch 481 / 4238 Time Taken: 51.5982 sec
21-03-31 12:55:08.932 - INFO: End of epoch 482 / 4238 Time Taken: 51.6875 sec
21-03-31 12:55:39.057 - INFO: <epoch:483, iter: 56,600, lr:5.000e-05, t:85.5592s, td:0.0352s, eta:10538.0448h> pix-l1: 3.3755e-03 contextual: 4.1760e+00 l_g_gan: 1.2506e-01 ms-ssim: 6.6151e-02 l_d_real: 2.6832e-01 l_d_fake: 2.6762e-01 D_real: 9.4531e+00 D_fake: 3.0957e+00
21-03-31 12:56:00.536 - INFO: End of epoch 483 / 4238 Time Taken: 51.6046 sec
21-03-31 12:56:52.170 - INFO: End of epoch 484 / 4238 Time Taken: 51.6337 sec
21-03-31 12:57:08.392 - INFO: <epoch:485, iter: 56,800, lr:5.000e-05, t:89.3742s, td:0.0352s, eta:11002.9607h> pix-l1: 3.4075e-03 contextual: 4.3000e+00 l_g_gan: 8.4772e-02 ms-ssim: 6.8293e-02 l_d_real: 4.7639e-01 l_d_fake: 5.0854e-01 D_real: 3.3652e+00 D_fake: -2.7402e+00
21-03-31 12:57:43.790 - INFO: End of epoch 485 / 4238 Time Taken: 51.6197 sec
21-03-31 12:58:33.982 - INFO: <epoch:486, iter: 57,000, lr:5.000e-05, t:89.3349s, td:0.0176s, eta:10993.1569h> pix-l1: 3.7659e-03 contextual: 3.9435e+00 l_g_gan: 8.5314e-02 ms-ssim: 8.2522e-02 l_d_real: 2.0947e+00 l_d_fake: 2.0941e+00 D_real: 5.7734e+00 D_fake: -2.3945e+00
21-03-31 12:58:34.590 - INFO: Models and training states saved.
21-03-31 12:58:40.225 - INFO: # Validation # PSNR: 30.152, SSIM: 0.80499, LPIPS: 0.056815
21-03-31 12:58:40.225 - INFO: <epoch:486, iter: 57,000> PSNR: 30.152, SSIM: 0.80499, LPIPS: 0.056815
21-03-31 12:58:41.657 - INFO: End of epoch 486 / 4238 Time Taken: 57.8666 sec
21-03-31 12:59:33.302 - INFO: End of epoch 487 / 4238 Time Taken: 51.6450 sec
21-03-31 13:00:09.675 - INFO: <epoch:488, iter: 57,200, lr:5.000e-05, t:85.5892s, td:0.0353s, eta:10527.4752h> pix-l1: 4.2167e-03 contextual: 3.8696e+00 l_g_gan: 1.2262e-01 ms-ssim: 8.6254e-02 l_d_real: 8.1971e-01 l_d_fake: 8.2066e-01 D_real: 1.6328e+00 D_fake: -6.4609e+00
21-03-31 13:00:25.013 - INFO: End of epoch 488 / 4238 Time Taken: 51.7114 sec
21-03-31 13:01:16.630 - INFO: End of epoch 489 / 4238 Time Taken: 51.6164 sec
21-03-31 13:01:38.994 - INFO: <epoch:490, iter: 57,400, lr:5.000e-05, t:95.6938s, td:0.0352s, eta:11765.0172h> pix-l1: 2.1375e-03 contextual: 2.4849e+00 l_g_gan: 6.0807e-02 ms-ssim: 3.5120e-02 l_d_real: 8.1296e-01 l_d_fake: 8.0618e-01 D_real: -6.9727e+00 D_fake: -1.0977e+01
21-03-31 13:02:08.252 - INFO: End of epoch 490 / 4238 Time Taken: 51.6220 sec
21-03-31 13:02:59.845 - INFO: End of epoch 491 / 4238 Time Taken: 51.5927 sec
21-03-31 13:03:08.285 - INFO: <epoch:492, iter: 57,600, lr:5.000e-05, t:89.3186s, td:0.0352s, eta:10976.2656h> pix-l1: 2.6826e-03 contextual: 3.0449e+00 l_g_gan: 2.7078e-02 ms-ssim: 5.6033e-02 l_d_real: 3.9571e+00 l_d_fake: 3.9307e+00 D_real: -5.3320e+00 D_fake: -7.8125e+00
21-03-31 13:03:51.455 - INFO: End of epoch 492 / 4238 Time Taken: 51.6092 sec
21-03-31 13:04:33.858 - INFO: <epoch:493, iter: 57,800, lr:5.000e-05, t:89.2905s, td:0.0176s, eta:10967.8490h> pix-l1: 3.5598e-03 contextual: 4.8300e+00 l_g_gan: 8.5606e-02 ms-ssim: 7.4798e-02 l_d_real: 3.3748e+00 l_d_fake: 3.3549e+00 D_real: 7.6367e+00 D_fake: -9.6924e-01
21-03-31 13:04:43.053 - INFO: End of epoch 493 / 4238 Time Taken: 51.5975 sec
21-03-31 13:05:34.722 - INFO: End of epoch 494 / 4238 Time Taken: 51.6696 sec
21-03-31 13:06:03.269 - INFO: <epoch:495, iter: 58,000, lr:5.000e-05, t:85.5734s, td:0.0352s, eta:10506.5102h> pix-l1: 3.9845e-03 contextual: 4.9135e+00 l_g_gan: 1.1031e-01 ms-ssim: 6.6031e-02 l_d_real: 7.2036e-01 l_d_fake: 7.1998e-01 D_real: 1.8859e+01 D_fake: 1.1594e+01
21-03-31 13:06:03.854 - INFO: Models and training states saved.
21-03-31 13:06:09.511 - INFO: # Validation # PSNR: 30.251, SSIM: 0.81179, LPIPS: 0.055869
21-03-31 13:06:09.511 - INFO: <epoch:495, iter: 58,000> PSNR: 30.251, SSIM: 0.81179, LPIPS: 0.055869
21-03-31 13:06:32.590 - INFO: End of epoch 495 / 4238 Time Taken: 57.8674 sec
21-03-31 13:07:24.212 - INFO: End of epoch 496 / 4238 Time Taken: 51.6223 sec
21-03-31 13:07:38.801 - INFO: <epoch:497, iter: 58,200, lr:5.000e-05, t:89.4109s, td:0.0351s, eta:10972.7061h> pix-l1: 4.0296e-03 contextual: 4.0739e+00 l_g_gan: 6.0173e-02 ms-ssim: 8.5440e-02 l_d_real: 1.8283e+00 l_d_fake: 1.8460e+00 D_real: 8.7734e+00 D_fake: 3.4141e+00
21-03-31 13:08:15.887 - INFO: End of epoch 497 / 4238 Time Taken: 51.6745 sec
21-03-31 13:09:04.457 - INFO: <epoch:498, iter: 58,400, lr:5.000e-05, t:95.5330s, td:0.0175s, eta:11718.7117h> pix-l1: 5.8188e-03 contextual: 4.6725e+00 l_g_gan: 1.2120e-01 ms-ssim: 1.0180e-01 l_d_real: 6.8668e-01 l_d_fake: 6.8643e-01 D_real: 2.8297e+01 D_fake: 2.0297e+01
21-03-31 13:09:07.518 - INFO: End of epoch 498 / 4238 Time Taken: 51.6311 sec
21-03-31 13:09:59.156 - INFO: End of epoch 499 / 4238 Time Taken: 51.6378 sec
21-03-31 13:10:33.809 - INFO: <epoch:500, iter: 58,600, lr:5.000e-05, t:85.6550s, td:0.0351s, eta:10502.2489h> pix-l1: 2.0336e-03 contextual: 1.5522e+00 l_g_gan: 2.0839e-02 ms-ssim: 2.1749e-02 l_d_real: 3.0937e+00 l_d_fake: 3.0763e+00 D_real: -3.6656e+01 D_fake: -3.6562e+01
21-03-31 13:10:50.813 - INFO: End of epoch 500 / 4238 Time Taken: 51.6569 sec
21-03-31 13:11:42.363 - INFO: End of epoch 501 / 4238 Time Taken: 51.5500 sec
21-03-31 13:12:03.081 - INFO: <epoch:502, iter: 58,800, lr:5.000e-05, t:89.3526s, td:0.0351s, eta:10950.6591h> pix-l1: 3.8958e-03 contextual: 3.3076e+00 l_g_gan: 6.8073e-02 ms-ssim: 8.2760e-02 l_d_real: 1.4457e+00 l_d_fake: 1.4480e+00 D_real: 8.1250e+00 D_fake: 2.9570e+00
21-03-31 13:12:33.974 - INFO: End of epoch 502 / 4238 Time Taken: 51.6106 sec
21-03-31 13:13:25.589 - INFO: End of epoch 503 / 4238 Time Taken: 51.6149 sec
21-03-31 13:13:32.394 - INFO: <epoch:504, iter: 59,000, lr:5.000e-05, t:89.2712s, td:0.0352s, eta:10935.7275h> pix-l1: 3.9442e-03 contextual: 4.4990e+00 l_g_gan: 4.7889e-02 ms-ssim: 9.8915e-02 l_d_real: 8.5225e-01 l_d_fake: 8.6549e-01 D_real: 9.6562e+00 D_fake: 6.8945e+00
21-03-31 13:13:33.007 - INFO: Models and training states saved.
21-03-31 13:13:38.661 - INFO: # Validation # PSNR: 30.355, SSIM: 0.80812, LPIPS: 0.054103
21-03-31 13:13:38.661 - INFO: <epoch:504, iter: 59,000> PSNR: 30.355, SSIM: 0.80812, LPIPS: 0.054103
21-03-31 13:14:23.382 - INFO: End of epoch 504 / 4238 Time Taken: 57.7932 sec
21-03-31 13:15:04.061 - INFO: <epoch:505, iter: 59,200, lr:5.000e-05, t:89.3138s, td:0.0177s, eta:10935.9733h> pix-l1: 3.6759e-03 contextual: 2.1527e+00 l_g_gan: 7.9390e-02 ms-ssim: 5.0181e-02 l_d_real: 3.8493e-01 l_d_fake: 3.8296e-01 D_real: 4.0430e+00 D_fake: -5.7471e-01
21-03-31 13:15:14.917 - INFO: End of epoch 505 / 4238 Time Taken: 51.5347 sec
21-03-31 13:16:06.503 - INFO: End of epoch 506 / 4238 Time Taken: 51.5853 sec
21-03-31 13:16:33.400 - INFO: <epoch:507, iter: 59,400, lr:5.000e-05, t:91.6662s, td:0.0353s, eta:11218.9247h> pix-l1: 5.0284e-03 contextual: 3.2053e+00 l_g_gan: 1.0792e-01 ms-ssim: 6.8494e-02 l_d_real: 8.0441e-01 l_d_fake: 8.0479e-01 D_real: -1.2773e+00 D_fake: -7.7617e+00
21-03-31 13:16:58.144 - INFO: End of epoch 507 / 4238 Time Taken: 51.6409 sec
21-03-31 13:17:49.760 - INFO: End of epoch 508 / 4238 Time Taken: 51.6167 sec
21-03-31 13:18:02.737 - INFO: <epoch:509, iter: 59,600, lr:5.000e-05, t:89.3394s, td:0.0352s, eta:10929.1869h> pix-l1: 2.5693e-03 contextual: 5.1929e+00 l_g_gan: 7.8787e-02 ms-ssim: 7.2352e-02 l_d_real: 6.1932e-01 l_d_fake: 6.1422e-01 D_real: 3.8633e+00 D_fake: -1.8682e+00
21-03-31 13:18:41.519 - INFO: End of epoch 509 / 4238 Time Taken: 51.7590 sec
21-03-31 13:19:28.465 - INFO: <epoch:510, iter: 59,800, lr:5.000e-05, t:89.3377s, td:0.0176s, eta:10924.0131h> pix-l1: 4.4164e-03 contextual: 4.4983e+00 l_g_gan: 1.5405e-01 ms-ssim: 6.4793e-02 l_d_real: 7.7385e-01 l_d_fake: 7.8201e-01 D_real: 3.4512e+00 D_fake: -1.0148e+01
21-03-31 13:19:33.163 - INFO: End of epoch 510 / 4238 Time Taken: 51.6430 sec
21-03-31 13:20:24.740 - INFO: End of epoch 511 / 4238 Time Taken: 51.5774 sec
21-03-31 13:20:57.795 - INFO: <epoch:512, iter: 60,000, lr:5.000e-05, t:85.7270s, td:0.0351s, eta:10477.7492h> pix-l1: 4.7805e-03 contextual: 3.9885e+00 l_g_gan: 1.2391e-01 ms-ssim: 8.3014e-02 l_d_real: 1.1435e+00 l_d_fake: 1.1401e+00 D_real: 4.0781e+00 D_fake: -2.8516e+00
21-03-31 13:20:58.406 - INFO: Models and training states saved.
21-03-31 13:21:04.067 - INFO: # Validation # PSNR: 30.33, SSIM: 0.80474, LPIPS: 0.052861
21-03-31 13:21:04.067 - INFO: <epoch:512, iter: 60,000> PSNR: 30.33, SSIM: 0.80474, LPIPS: 0.052861
21-03-31 13:21:22.645 - INFO: End of epoch 512 / 4238 Time Taken: 57.9044 sec
21-03-31 13:22:14.130 - INFO: End of epoch 513 / 4238 Time Taken: 51.4852 sec
21-03-31 13:22:33.188 - INFO: <epoch:514, iter: 60,200, lr:5.000e-05, t:89.3310s, td:0.0352s, eta:10913.2687h> pix-l1: 3.4094e-03 contextual: 4.6006e+00 l_g_gan: 9.7855e-02 ms-ssim: 8.0724e-02 l_d_real: 6.9001e-01 l_d_fake: 6.8036e-01 D_real: 1.1133e+01 D_fake: 5.4141e+00
21-03-31 13:23:05.658 - INFO: End of epoch 514 / 4238 Time Taken: 51.5273 sec
21-03-31 13:23:57.111 - INFO: End of epoch 515 / 4238 Time Taken: 51.4527 sec
21-03-31 13:24:02.276 - INFO: <epoch:516, iter: 60,400, lr:5.000e-05, t:95.3925s, td:0.0351s, eta:11648.4835h> pix-l1: 5.7628e-03 contextual: 4.1937e+00 l_g_gan: 8.4215e-02 ms-ssim: 9.7609e-02 l_d_real: 7.2739e-01 l_d_fake: 7.2957e-01 D_real: 1.3078e+01 D_fake: 6.3008e+00
21-03-31 13:24:48.615 - INFO: End of epoch 516 / 4238 Time Taken: 51.5041 sec
21-03-31 13:25:27.806 - INFO: <epoch:517, iter: 60,600, lr:5.000e-05, t:89.0874s, td:0.0176s, eta:10873.6179h> pix-l1: 3.0718e-03 contextual: 3.0997e+00 l_g_gan: 4.8687e-02 ms-ssim: 5.7192e-02 l_d_real: 2.2658e+00 l_d_fake: 2.2613e+00 D_real: -5.9727e+00 D_fake: -1.0398e+01
21-03-31 13:25:40.254 - INFO: End of epoch 517 / 4238 Time Taken: 51.6382 sec
21-03-31 13:26:31.802 - INFO: End of epoch 518 / 4238 Time Taken: 51.5485 sec
21-03-31 13:26:57.022 - INFO: <epoch:519, iter: 60,800, lr:5.000e-05, t:85.5304s, td:0.0351s, eta:10434.7132h> pix-l1: 1.8218e-03 contextual: 2.3790e+00 l_g_gan: 8.4374e-02 ms-ssim: 2.3233e-02 l_d_real: 1.8355e+00 l_d_fake: 1.9203e+00 D_real: -1.0875e+01 D_fake: -1.8938e+01
21-03-31 13:27:23.397 - INFO: End of epoch 519 / 4238 Time Taken: 51.5951 sec
21-03-31 13:28:15.010 - INFO: End of epoch 520 / 4238 Time Taken: 51.6127 sec
21-03-31 13:28:26.331 - INFO: <epoch:521, iter: 61,000, lr:5.000e-05, t:89.2161s, td:0.0351s, eta:10879.4063h> pix-l1: 9.2231e-03 contextual: 5.2500e+00 l_g_gan: 1.0096e-01 ms-ssim: 1.4271e-01 l_d_real: 1.0785e+00 l_d_fake: 1.0785e+00 D_real: 2.1062e+01 D_fake: 1.5281e+01
21-03-31 13:28:26.925 - INFO: Models and training states saved.
21-03-31 13:28:32.607 - INFO: # Validation # PSNR: 30.378, SSIM: 0.81258, LPIPS: 0.054307
21-03-31 13:28:32.607 - INFO: <epoch:521, iter: 61,000> PSNR: 30.378, SSIM: 0.81258, LPIPS: 0.054307
21-03-31 13:29:12.842 - INFO: End of epoch 521 / 4238 Time Taken: 57.8318 sec
21-03-31 13:29:58.036 - INFO: <epoch:522, iter: 61,200, lr:5.000e-05, t:89.3090s, td:0.0177s, eta:10885.7718h> pix-l1: 4.7534e-03 contextual: 4.9334e+00 l_g_gan: 1.6764e-01 ms-ssim: 8.0982e-02 l_d_real: 3.9276e-01 l_d_fake: 3.9593e-01 D_real: 2.9258e+00 D_fake: -6.5234e+00
21-03-31 13:30:04.390 - INFO: End of epoch 522 / 4238 Time Taken: 51.5484 sec
21-03-31 13:30:55.896 - INFO: End of epoch 523 / 4238 Time Taken: 51.5044 sec
21-03-31 13:31:27.189 - INFO: <epoch:524, iter: 61,400, lr:5.000e-05, t:91.7055s, td:0.0351s, eta:11172.7895h> pix-l1: 4.4554e-03 contextual: 3.6737e+00 l_g_gan: 4.6603e-02 ms-ssim: 6.9694e-02 l_d_real: 4.0621e+00 l_d_fake: 4.0579e+00 D_real: 7.3320e+00 D_fake: 2.5176e+00
21-03-31 13:31:47.390 - INFO: End of epoch 524 / 4238 Time Taken: 51.4948 sec
21-03-31 13:32:38.882 - INFO: End of epoch 525 / 4238 Time Taken: 51.4915 sec
21-03-31 13:32:56.302 - INFO: <epoch:526, iter: 61,600, lr:5.000e-05, t:89.1525s, td:0.0351s, eta:10856.7890h> pix-l1: 3.5255e-03 contextual: 4.2990e+00 l_g_gan: 1.6938e-01 ms-ssim: 5.9726e-02 l_d_real: 4.9515e-01 l_d_fake: 4.9638e-01 D_real: 9.2344e+00 D_fake: -4.8828e+00
21-03-31 13:33:30.411 - INFO: End of epoch 526 / 4238 Time Taken: 51.5292 sec
21-03-31 13:34:21.721 - INFO: <epoch:527, iter: 61,800, lr:5.000e-05, t:89.1129s, td:0.0176s, eta:10847.0173h> pix-l1: 4.9696e-03 contextual: 5.0546e+00 l_g_gan: 9.8581e-02 ms-ssim: 8.8969e-02 l_d_real: 4.8670e-01 l_d_fake: 4.8823e-01 D_real: 1.3977e+01 D_fake: 7.4258e+00
21-03-31 13:34:21.909 - INFO: End of epoch 527 / 4238 Time Taken: 51.4977 sec
21-03-31 13:35:13.466 - INFO: End of epoch 528 / 4238 Time Taken: 51.5565 sec
21-03-31 13:35:50.948 - INFO: <epoch:529, iter: 62,000, lr:5.000e-05, t:85.4190s, td:0.0352s, eta:10392.6417h> pix-l1: 3.1106e-03 contextual: 3.8300e+00 l_g_gan: 1.7580e-01 ms-ssim: 3.7682e-02 l_d_real: 5.9361e-01 l_d_fake: 5.9504e-01 D_real: -4.7314e-01 D_fake: -1.0562e+01
21-03-31 13:35:51.597 - INFO: Models and training states saved.
21-03-31 13:35:57.244 - INFO: # Validation # PSNR: 30.465, SSIM: 0.80721, LPIPS: 0.051947
21-03-31 13:35:57.244 - INFO: <epoch:529, iter: 62,000> PSNR: 30.465, SSIM: 0.80721, LPIPS: 0.051947
21-03-31 13:36:11.368 - INFO: End of epoch 529 / 4238 Time Taken: 57.9024 sec
21-03-31 13:37:03.003 - INFO: End of epoch 530 / 4238 Time Taken: 51.6350 sec
21-03-31 13:37:26.581 - INFO: <epoch:531, iter: 62,200, lr:5.000e-05, t:89.2277s, td:0.0351s, eta:10851.0761h> pix-l1: 3.0342e-03 contextual: 2.9613e+00 l_g_gan: 9.7352e-02 ms-ssim: 5.4796e-02 l_d_real: 3.0289e-01 l_d_fake: 3.0460e-01 D_real: 6.8281e+00 D_fake: 7.7832e-01
21-03-31 13:37:54.615 - INFO: End of epoch 531 / 4238 Time Taken: 51.6114 sec
21-03-31 13:38:46.273 - INFO: End of epoch 532 / 4238 Time Taken: 51.6573 sec
21-03-31 13:38:55.957 - INFO: <epoch:533, iter: 62,400, lr:5.000e-05, t:95.6332s, td:0.0352s, eta:11624.7472h> pix-l1: 2.7076e-03 contextual: 2.4389e+00 l_g_gan: 9.2383e-02 ms-ssim: 2.9898e-02 l_d_real: 6.0105e-01 l_d_fake: 6.0262e-01 D_real: -9.7031e+00 D_fake: -1.7016e+01
21-03-31 13:39:37.917 - INFO: End of epoch 533 / 4238 Time Taken: 51.6445 sec
21-03-31 13:40:21.632 - INFO: <epoch:534, iter: 62,600, lr:5.000e-05, t:89.3755s, td:0.0176s, eta:10859.1186h> pix-l1: 4.4692e-03 contextual: 3.5810e+00 l_g_gan: 9.9793e-02 ms-ssim: 8.6001e-02 l_d_real: 9.4184e-01 l_d_fake: 9.5872e-01 D_real: 1.3766e+01 D_fake: 7.4023e+00
21-03-31 13:40:29.605 - INFO: End of epoch 534 / 4238 Time Taken: 51.6872 sec
21-03-31 13:41:21.185 - INFO: End of epoch 535 / 4238 Time Taken: 51.5801 sec
21-03-31 13:41:50.929 - INFO: <epoch:536, iter: 62,800, lr:5.000e-05, t:85.6751s, td:0.0351s, eta:10404.7660h> pix-l1: 6.2494e-03 contextual: 4.0645e+00 l_g_gan: 7.9306e-02 ms-ssim: 7.5983e-02 l_d_real: 8.9919e-01 l_d_fake: 9.0370e-01 D_real: 8.3203e+00 D_fake: 2.8574e+00
21-03-31 13:42:12.837 - INFO: End of epoch 536 / 4238 Time Taken: 51.6518 sec
21-03-31 13:43:04.455 - INFO: End of epoch 537 / 4238 Time Taken: 51.6181 sec
21-03-31 13:43:20.277 - INFO: <epoch:538, iter: 63,000, lr:5.000e-05, t:89.2964s, td:0.0352s, eta:10839.5864h> pix-l1: 2.7381e-03 contextual: 1.9402e+00 l_g_gan: 3.1488e-02 ms-ssim: 3.1029e-02 l_d_real: 1.9415e+00 l_d_fake: 1.9187e+00 D_real: -1.5375e+01 D_fake: -1.7484e+01
21-03-31 13:43:20.874 - INFO: Models and training states saved.
21-03-31 13:43:26.563 - INFO: # Validation # PSNR: 29.513, SSIM: 0.80541, LPIPS: 0.054965
21-03-31 13:43:26.564 - INFO: <epoch:538, iter: 63,000> PSNR: 29.513, SSIM: 0.80541, LPIPS: 0.054965
21-03-31 13:44:02.405 - INFO: End of epoch 538 / 4238 Time Taken: 57.9492 sec
21-03-31 13:44:52.185 - INFO: <epoch:539, iter: 63,200, lr:5.000e-05, t:89.3479s, td:0.0176s, eta:10840.8834h> pix-l1: 2.6005e-03 contextual: 3.5406e+00 l_g_gan: 1.3207e-01 ms-ssim: 3.1348e-02 l_d_real: 5.5372e-01 l_d_fake: 5.4959e-01 D_real: 6.7480e-01 D_fake: -9.2422e+00
21-03-31 13:44:54.033 - INFO: End of epoch 539 / 4238 Time Taken: 51.6279 sec
21-03-31 13:45:45.706 - INFO: End of epoch 540 / 4238 Time Taken: 51.6734 sec
21-03-31 13:46:21.597 - INFO: <epoch:541, iter: 63,400, lr:5.000e-05, t:91.9079s, td:0.0352s, eta:11146.3903h> pix-l1: 3.6974e-03 contextual: 2.9873e+00 l_g_gan: 1.2561e-01 ms-ssim: 7.4937e-02 l_d_real: 4.5948e-01 l_d_fake: 4.5977e-01 D_real: 4.8906e+00 D_fake: -3.8965e+00
21-03-31 13:46:37.352 - INFO: End of epoch 541 / 4238 Time Taken: 51.6450 sec
21-03-31 13:47:28.984 - INFO: End of epoch 542 / 4238 Time Taken: 51.6327 sec
21-03-31 13:47:50.922 - INFO: <epoch:543, iter: 63,600, lr:5.000e-05, t:89.4126s, td:0.0354s, eta:10838.7999h> pix-l1: 3.6914e-03 contextual: 2.2522e+00 l_g_gan: 3.6092e-02 ms-ssim: 3.6909e-02 l_d_real: 2.3142e+00 l_d_fake: 2.3571e+00 D_real: -7.3438e+00 D_fake: -1.0203e+01
21-03-31 13:48:20.582 - INFO: End of epoch 543 / 4238 Time Taken: 51.5982 sec
21-03-31 13:49:12.193 - INFO: End of epoch 544 / 4238 Time Taken: 51.6108 sec
21-03-31 13:49:20.217 - INFO: <epoch:545, iter: 63,800, lr:5.000e-05, t:89.3245s, td:0.0351s, eta:10823.1546h> pix-l1: 5.9479e-03 contextual: 3.0955e+00 l_g_gan: 2.2089e-01 ms-ssim: 1.5527e-01 l_d_real: 4.5065e-01 l_d_fake: 4.5215e-01 D_real: 2.3469e+01 D_fake: 4.4844e+00
21-03-31 13:50:03.776 - INFO: End of epoch 545 / 4238 Time Taken: 51.5824 sec
21-03-31 13:50:45.823 - INFO: <epoch:546, iter: 64,000, lr:5.000e-05, t:89.2952s, td:0.0175s, eta:10814.6455h> pix-l1: 2.8606e-03 contextual: 2.8142e+00 l_g_gan: 1.4579e-02 ms-ssim: 5.1845e-02 l_d_real: 4.4044e+00 l_d_fake: 4.4305e+00 D_real: -1.1562e+01 D_fake: -1.1508e+01
21-03-31 13:50:46.423 - INFO: Models and training states saved.
21-03-31 13:50:52.067 - INFO: # Validation # PSNR: 30.439, SSIM: 0.8101, LPIPS: 0.053447
21-03-31 13:50:52.067 - INFO: <epoch:546, iter: 64,000> PSNR: 30.439, SSIM: 0.8101, LPIPS: 0.053447
21-03-31 13:51:01.693 - INFO: End of epoch 546 / 4238 Time Taken: 57.9174 sec
21-03-31 13:51:53.293 - INFO: End of epoch 547 / 4238 Time Taken: 51.5999 sec
21-03-31 13:52:21.372 - INFO: <epoch:548, iter: 64,200, lr:5.000e-05, t:85.6057s, td:0.0351s, eta:10363.0483h> pix-l1: 5.2954e-03 contextual: 4.0255e+00 l_g_gan: 7.7391e-02 ms-ssim: 1.0885e-01 l_d_real: 9.8492e-01 l_d_fake: 9.8914e-01 D_real: 1.3500e+01 D_fake: 9.0156e+00
21-03-31 13:52:44.887 - INFO: End of epoch 548 / 4238 Time Taken: 51.5928 sec
21-03-31 13:53:36.497 - INFO: End of epoch 549 / 4238 Time Taken: 51.6100 sec
21-03-31 13:53:50.683 - INFO: <epoch:550, iter: 64,400, lr:5.000e-05, t:95.5493s, td:0.0351s, eta:11561.4632h> pix-l1: 3.3687e-03 contextual: 3.3126e+00 l_g_gan: 1.0707e-01 ms-ssim: 4.4182e-02 l_d_real: 6.1628e-01 l_d_fake: 6.1303e-01 D_real: -5.2891e+00 D_fake: -1.3008e+01
21-03-31 13:54:28.162 - INFO: End of epoch 550 / 4238 Time Taken: 51.6649 sec
21-03-31 13:55:16.172 - INFO: <epoch:551, iter: 64,600, lr:5.000e-05, t:89.3108s, td:0.0176s, eta:10801.6461h> pix-l1: 5.0355e-03 contextual: 4.9822e+00 l_g_gan: 1.2632e-01 ms-ssim: 1.0377e-01 l_d_real: 4.4971e-01 l_d_fake: 4.4954e-01 D_real: 1.9781e+01 D_fake: 1.2258e+01
21-03-31 13:55:19.629 - INFO: End of epoch 551 / 4238 Time Taken: 51.4676 sec
21-03-31 13:56:11.182 - INFO: End of epoch 552 / 4238 Time Taken: 51.5519 sec
21-03-31 13:56:45.391 - INFO: <epoch:553, iter: 64,800, lr:5.000e-05, t:85.4895s, td:0.0351s, eta:10334.7262h> pix-l1: 2.7021e-03 contextual: 3.4347e+00 l_g_gan: 1.1835e-01 ms-ssim: 6.2723e-02 l_d_real: 8.4385e-01 l_d_fake: 8.3433e-01 D_real: -6.3242e+00 D_fake: -1.7203e+01
21-03-31 13:57:02.778 - INFO: End of epoch 553 / 4238 Time Taken: 51.5961 sec
21-03-31 13:57:54.371 - INFO: End of epoch 554 / 4238 Time Taken: 51.5926 sec
21-03-31 13:58:14.662 - INFO: <epoch:555, iter: 65,000, lr:5.000e-05, t:89.2193s, td:0.0350s, eta:10780.6650h> pix-l1: 3.6656e-03 contextual: 5.2249e+00 l_g_gan: 1.7456e-01 ms-ssim: 7.9515e-02 l_d_real: 9.4350e-01 l_d_fake: 9.4225e-01 D_real: 6.6748e-01 D_fake: -8.7734e+00
21-03-31 13:58:15.265 - INFO: Models and training states saved.
21-03-31 13:58:20.887 - INFO: # Validation # PSNR: 30.464, SSIM: 0.80741, LPIPS: 0.052841
21-03-31 13:58:20.888 - INFO: <epoch:555, iter: 65,000> PSNR: 30.464, SSIM: 0.80741, LPIPS: 0.052841
21-03-31 13:58:52.191 - INFO: End of epoch 555 / 4238 Time Taken: 57.8202 sec
21-03-31 13:59:43.717 - INFO: End of epoch 556 / 4238 Time Taken: 51.5259 sec
21-03-31 13:59:50.112 - INFO: <epoch:557, iter: 65,200, lr:5.000e-05, t:89.2706s, td:0.0352s, eta:10781.9044h> pix-l1: 7.0470e-04 contextual: 2.7396e+00 l_g_gan: 7.2036e-02 ms-ssim: 8.4589e-03 l_d_real: 7.0580e-01 l_d_fake: 7.0598e-01 D_real: -2.5891e+01 D_fake: -2.9109e+01
21-03-31 14:00:35.378 - INFO: End of epoch 557 / 4238 Time Taken: 51.6613 sec
21-03-31 14:01:15.714 - INFO: <epoch:558, iter: 65,400, lr:5.000e-05, t:95.4500s, td:0.0176s, eta:11522.9378h> pix-l1: 3.9760e-03 contextual: 2.7054e+00 l_g_gan: 1.2653e-01 ms-ssim: 5.6867e-02 l_d_real: 7.8060e-01 l_d_fake: 7.7254e-01 D_real: -9.9922e+00 D_fake: -2.0969e+01
21-03-31 14:01:26.969 - INFO: End of epoch 558 / 4238 Time Taken: 51.5904 sec
21-03-31 14:02:18.499 - INFO: End of epoch 559 / 4238 Time Taken: 51.5296 sec
21-03-31 14:02:44.931 - INFO: <epoch:560, iter: 65,600, lr:5.000e-05, t:85.6027s, td:0.0351s, eta:10329.3938h> pix-l1: 2.8335e-03 contextual: 2.7485e+00 l_g_gan: 9.6761e-02 ms-ssim: 5.6300e-02 l_d_real: 2.9164e+00 l_d_fake: 2.9135e+00 D_real: -2.1078e+01 D_fake: -3.0766e+01
21-03-31 14:03:10.075 - INFO: End of epoch 560 / 4238 Time Taken: 51.5762 sec
21-03-31 14:04:01.668 - INFO: End of epoch 561 / 4238 Time Taken: 51.5927 sec
21-03-31 14:04:14.196 - INFO: <epoch:562, iter: 65,800, lr:5.000e-05, t:89.2158s, td:0.0351s, eta:10760.4117h> pix-l1: 6.0181e-03 contextual: 4.9269e+00 l_g_gan: 1.2074e-01 ms-ssim: 1.0865e-01 l_d_real: 1.0027e+00 l_d_fake: 1.0024e+00 D_real: 1.6406e+01 D_fake: 6.8164e+00
21-03-31 14:04:53.265 - INFO: End of epoch 562 / 4238 Time Taken: 51.5962 sec
21-03-31 14:05:39.753 - INFO: <epoch:563, iter: 66,000, lr:5.000e-05, t:89.2649s, td:0.0176s, eta:10761.3841h> pix-l1: 2.5579e-03 contextual: 2.0455e+00 l_g_gan: 6.4169e-02 ms-ssim: 3.2213e-02 l_d_real: 2.8940e+00 l_d_fake: 2.8913e+00 D_real: -2.2125e+01 D_fake: -2.8312e+01
21-03-31 14:05:40.386 - INFO: Models and training states saved.
21-03-31 14:05:46.037 - INFO: # Validation # PSNR: 30.117, SSIM: 0.80115, LPIPS: 0.052863
21-03-31 14:05:46.037 - INFO: <epoch:563, iter: 66,000> PSNR: 30.117, SSIM: 0.80115, LPIPS: 0.052863
21-03-31 14:05:51.135 - INFO: End of epoch 563 / 4238 Time Taken: 57.8700 sec
21-03-31 14:06:42.671 - INFO: End of epoch 564 / 4238 Time Taken: 51.5365 sec
21-03-31 14:07:15.287 - INFO: <epoch:565, iter: 66,200, lr:5.000e-05, t:85.5576s, td:0.0352s, eta:10309.6881h> pix-l1: 3.9741e-03 contextual: 4.7253e+00 l_g_gan: 1.7223e-01 ms-ssim: 8.1835e-02 l_d_real: 1.2176e+00 l_d_fake: 1.2187e+00 D_real: 1.2258e+01 D_fake: -1.1660e+00
21-03-31 14:07:34.308 - INFO: End of epoch 565 / 4238 Time Taken: 51.6357 sec
21-03-31 14:08:25.895 - INFO: End of epoch 566 / 4238 Time Taken: 51.5871 sec
21-03-31 14:08:44.511 - INFO: <epoch:567, iter: 66,400, lr:5.000e-05, t:95.5344s, td:0.0351s, eta:11506.5839h> pix-l1: 6.9365e-03 contextual: 4.1863e+00 l_g_gan: 1.4026e-01 ms-ssim: 9.9513e-02 l_d_real: 4.4198e-01 l_d_fake: 4.3786e-01 D_real: 1.8516e+01 D_fake: 7.0625e+00
21-03-31 14:09:17.448 - INFO: End of epoch 567 / 4238 Time Taken: 51.5521 sec
21-03-31 14:10:08.990 - INFO: End of epoch 568 / 4238 Time Taken: 51.5414 sec
21-03-31 14:10:13.746 - INFO: <epoch:569, iter: 66,600, lr:5.000e-05, t:89.2237s, td:0.0350s, eta:10741.5438h> pix-l1: 4.1324e-03 contextual: 3.1588e+00 l_g_gan: 5.4123e-02 ms-ssim: 6.9538e-02 l_d_real: 1.6702e+00 l_d_fake: 1.6804e+00 D_real: 1.9092e+00 D_fake: -2.7910e+00
21-03-31 14:11:00.600 - INFO: End of epoch 569 / 4238 Time Taken: 51.6107 sec
21-03-31 14:11:39.370 - INFO: <epoch:570, iter: 66,800, lr:5.000e-05, t:89.2346s, td:0.0176s, eta:10737.8932h> pix-l1: 6.1922e-03 contextual: 3.8673e+00 l_g_gan: 1.1082e-01 ms-ssim: 1.0607e-01 l_d_real: 9.4481e-01 l_d_fake: 9.4605e-01 D_real: 1.4258e+01 D_fake: 8.7344e+00
21-03-31 14:11:52.264 - INFO: End of epoch 570 / 4238 Time Taken: 51.6633 sec
21-03-31 14:12:43.835 - INFO: End of epoch 571 / 4238 Time Taken: 51.5719 sec
21-03-31 14:13:08.621 - INFO: <epoch:572, iter: 67,000, lr:5.000e-05, t:85.6240s, td:0.0351s, eta:10298.6647h> pix-l1: 3.2829e-03 contextual: 2.7828e+00 l_g_gan: 1.0878e-01 ms-ssim: 4.0846e-02 l_d_real: 4.7819e-01 l_d_fake: 4.7865e-01 D_real: -5.9727e+00 D_fake: -1.3273e+01
21-03-31 14:13:09.216 - INFO: Models and training states saved.
21-03-31 14:13:14.850 - INFO: # Validation # PSNR: 30.332, SSIM: 0.80651, LPIPS: 0.05408
21-03-31 14:13:14.850 - INFO: <epoch:572, iter: 67,000> PSNR: 30.332, SSIM: 0.80651, LPIPS: 0.05408
21-03-31 14:13:41.685 - INFO: End of epoch 572 / 4238 Time Taken: 57.8492 sec
21-03-31 14:14:33.268 - INFO: End of epoch 573 / 4238 Time Taken: 51.5831 sec
21-03-31 14:14:44.161 - INFO: <epoch:574, iter: 67,200, lr:5.000e-05, t:89.2511s, td:0.0351s, eta:10729.9660h> pix-l1: 3.5311e-03 contextual: 2.9868e+00 l_g_gan: 1.4592e-01 ms-ssim: 6.5634e-02 l_d_real: 2.3945e-01 l_d_fake: 2.3752e-01 D_real: -5.4639e-01 D_fake: -1.0836e+01
21-03-31 14:15:24.885 - INFO: End of epoch 574 / 4238 Time Taken: 51.6172 sec
21-03-31 14:16:09.778 - INFO: <epoch:575, iter: 67,400, lr:5.000e-05, t:95.5397s, td:0.0176s, eta:11480.6927h> pix-l1: 3.1659e-03 contextual: 3.8948e+00 l_g_gan: 6.6095e-02 ms-ssim: 7.3930e-02 l_d_real: 7.6180e-01 l_d_fake: 7.5812e-01 D_real: -4.8555e+00 D_fake: -9.2344e+00
21-03-31 14:16:16.516 - INFO: End of epoch 575 / 4238 Time Taken: 51.6297 sec
21-03-31 14:17:08.116 - INFO: End of epoch 576 / 4238 Time Taken: 51.6007 sec
21-03-31 14:17:39.074 - INFO: <epoch:577, iter: 67,600, lr:5.000e-05, t:85.6174s, td:0.0351s, eta:10283.5999h> pix-l1: 4.0207e-03 contextual: 4.0538e+00 l_g_gan: 1.2491e-01 ms-ssim: 5.6361e-02 l_d_real: 4.5660e-01 l_d_fake: 4.5829e-01 D_real: -4.3750e+00 D_fake: -1.0258e+01
21-03-31 14:17:59.755 - INFO: End of epoch 577 / 4238 Time Taken: 51.6383 sec
21-03-31 14:18:51.296 - INFO: End of epoch 578 / 4238 Time Taken: 51.5407 sec
21-03-31 14:19:08.319 - INFO: <epoch:579, iter: 67,800, lr:5.000e-05, t:89.2968s, td:0.0350s, eta:10720.5825h> pix-l1: 4.9264e-03 contextual: 4.4551e+00 l_g_gan: 8.6136e-02 ms-ssim: 6.8827e-02 l_d_real: 6.1549e-01 l_d_fake: 5.9000e-01 D_real: 2.4422e+01 D_fake: 1.8766e+01
21-03-31 14:19:42.901 - INFO: End of epoch 579 / 4238 Time Taken: 51.6051 sec
21-03-31 14:20:33.874 - INFO: <epoch:580, iter: 68,000, lr:5.000e-05, t:89.2443s, td:0.0176s, eta:10709.3151h> pix-l1: 3.0158e-03 contextual: 2.8936e+00 l_g_gan: 8.2519e-02 ms-ssim: 4.8034e-02 l_d_real: 9.3052e-01 l_d_fake: 9.2859e-01 D_real: -8.8516e+00 D_fake: -1.5492e+01
21-03-31 14:20:34.476 - INFO: Models and training states saved.