Training Output Log.txt

Disable distributed.
2025-04-24 04:02:10,930 INFO: 
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              / __  |/ __ `// ___// // ___/\__ \ / /_/ /
             / /_/ // /_/ /(__  )/ // /__ ___/ // _, _/
            /_____/ \__,_//____//_/ \___//____//_/ |_|
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    / ____/____   ____   ____/ /  / /   __  __ _____ / /__   / /
   / / __ / __ \ / __ \ / __  /  / /   / / / // ___// //_/  / /
  / /_/ // /_/ // /_/ // /_/ /  / /___/ /_/ // /__ / /<    /_/
  \____/ \____/ \____/ \____/  /_____/\____/ \___//_/|_|  (_)
    
Version Information: 
	BasicSR: 1.4.2
	PyTorch: 2.6.0+cu124
	TorchVision: 0.21.0+cu124
2025-04-24 04:02:10,931 INFO: 
  name: train_SRResNet_x4_FFHQ_300k
  model_type: RealESRNetModel
  scale: 4
  num_gpu: 1
  manual_seed: 0
  gt_usm: True
  l1_gt_usm: True
  resize_prob: [0.2, 0.7, 0.1]
  resize_range: [0.2, 1.5]
  gaussian_noise_prob: 0.5
  noise_range: [1, 20]
  poisson_scale_range: [0.05, 2]
  gray_noise_prob: 0.4
  jpeg_range: [50, 95]
  second_blur_prob: 0.8
  resize_prob2: [0.3, 0.4, 0.3]
  resize_range2: [0.3, 1.2]
  gaussian_noise_prob2: 0.5
  noise_range2: [1, 15]
  poisson_scale_range2: [0.05, 1.5]
  gray_noise_prob2: 0.4
  jpeg_range2: [70, 95]
  gt_size: 512
  queue_size: 192
  datasets:[
    train:[
      name: FFHQ_train
      type: FFHQsubDataset
      dataroot_gt: ../2024-S2-AI6126-Project2-Release/datasets/train/GT
      meta_info: ../2024-S2-AI6126-Project2-Release/datasets/train/meta_info_FFHQ6000sub_GT.txt
      io_backend:[
        type: disk
      ]
      blur_kernel_size: 21
      kernel_list: ['iso', 'aniso', 'generalized_iso', 'generalized_aniso', 'plateau_iso', 'plateau_aniso']
      kernel_prob: [0.45, 0.25, 0.12, 0.03, 0.12, 0.03]
      sinc_prob: 0.1
      blur_sigma: [0.2, 3]
      betag_range: [0.5, 4]
      betap_range: [1, 2]
      blur_kernel_size2: 21
      kernel_list2: ['iso', 'aniso', 'generalized_iso', 'generalized_aniso', 'plateau_iso', 'plateau_aniso']
      kernel_prob2: [0.45, 0.25, 0.12, 0.03, 0.12, 0.03]
      sinc_prob2: 0.1
      blur_sigma2: [0.2, 1.5]
      betag_range2: [0.5, 4]
      betap_range2: [1, 2]
      final_sinc_prob: 0.8
      gt_size: 512
      use_hflip: True
      use_rot: False
      use_shuffle: True
      num_worker_per_gpu: 10
      batch_size_per_gpu: 24
      dataset_enlarge_ratio: 1
      prefetch_mode: None
      phase: train
      scale: 4
    ]
    val:[
      name: FFHQ_val
      type: PairedImageDataset
      dataroot_gt: ../2024-S2-AI6126-Project2-Release/datasets/val/GT
      dataroot_lq: ../2024-S2-AI6126-Project2-Release/datasets/val/LQ
      io_backend:[
        type: disk
      ]
      phase: val
      scale: 4
    ]
  ]
  network_g:[
    type: MSRResNet
    num_in_ch: 3
    num_out_ch: 3
    num_feat: 64
    num_block: 26
    upscale: 4
  ]
  path:[
    pretrain_network_g: None
    param_key_g: params
    strict_load_g: True
    resume_state: None
    experiments_root: /content/ACV Project 2/experiments/train_SRResNet_x4_FFHQ_300k
    models: /content/ACV Project 2/experiments/train_SRResNet_x4_FFHQ_300k/models
    training_states: /content/ACV Project 2/experiments/train_SRResNet_x4_FFHQ_300k/training_states
    log: /content/ACV Project 2/experiments/train_SRResNet_x4_FFHQ_300k
    visualization: /content/ACV Project 2/experiments/train_SRResNet_x4_FFHQ_300k/visualization
  ]
  train:[
    ema_decay: 0.999
    optim_g:[
      type: Adam
      lr: 0.0001
      weight_decay: 0
      betas: [0.9, 0.99]
    ]
    scheduler:[
      type: CosineAnnealingRestartLR
      periods: [30000, 30000, 30000, 30000, 30000]
      restart_weights: [1, 1, 1, 1, 1]
      eta_min: 1e-07
    ]
    total_iter: 150000
    warmup_iter: -1
    pixel_opt:[
      type: MSELoss
      loss_weight: 1.0
      reduction: mean
    ]
    net_d_iters: 1
    net_d_init_iters: 0
  ]
  val:[
    val_freq: 500.0
    save_img: True
    metrics:[
      psnr:[
        type: calculate_psnr
        crop_border: 0
        test_y_channel: False
        better: higher
      ]
      niqe:[
        type: calculate_ssim
        crop_border: 0
        better: higher
      ]
    ]
  ]
  logger:[
    print_freq: 100
    save_checkpoint_freq: 5000.0
    use_tb_logger: True
    wandb:[
      project: None
      resume_id: None
    ]
  ]
  dist_params:[
    backend: nccl
    port: 29500
  ]
  dist: False
  rank: 0
  world_size: 1
  auto_resume: True
  is_train: True
  root_path: /content/ACV Project 2

2025-04-24 04:02:15,303 INFO: Dataset [FFHQsubDataset] - FFHQ_train is built.
2025-04-24 04:02:15,304 INFO: Training statistics:
	Number of train images: 6000
	Dataset enlarge ratio: 1
	Batch size per gpu: 24
	World size (gpu number): 1
	Require iter number per epoch: 250
	Total epochs: 600; iters: 150000.
2025-04-24 04:02:17,222 INFO: Dataset [PairedImageDataset] - FFHQ_val is built.
2025-04-24 04:02:17,223 INFO: Number of val images/folders in FFHQ_val: 400
2025-04-24 04:02:17,292 INFO: Network [MSRResNet] is created.
Name RealESRNetModel is not found, use name: RealESRNetModel_basicsr!
2025-04-24 04:02:17,559 INFO: Network: MSRResNet, with parameters: 2,256,131
2025-04-24 04:02:17,560 INFO: MSRResNet(
  (conv_first): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  (body): Sequential(
    (0): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (1): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (2): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (3): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (4): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (5): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (6): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (7): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (8): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (9): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (10): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (11): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (12): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (13): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (14): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (15): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (16): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (17): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (18): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (19): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (20): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (21): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (22): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (23): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (24): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
    (25): ResidualBlockNoBN(
      (conv1): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      (relu): ReLU(inplace=True)
    )
  )
  (upconv1): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  (upconv2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  (pixel_shuffle): PixelShuffle(upscale_factor=2)
  (conv_hr): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  (conv_last): Conv2d(64, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  (lrelu): LeakyReLU(negative_slope=0.1, inplace=True)
)
2025-04-24 04:02:17,561 INFO: Use Exponential Moving Average with decay: 0.999
2025-04-24 04:02:17,610 INFO: Network [MSRResNet] is created.
2025-04-24 04:02:17,689 INFO: Loss [MSELoss] is created.
2025-04-24 04:02:17,735 INFO: Model [RealESRNetModel] is created.
2025-04-24 04:02:17,917 INFO: Start training from epoch: 0, iter: 0
2025-04-24 04:05:00,222 INFO: [train..][epoch:  0, iter:     100, lr:(1.000e-04,)] [eta: 1 day, 15:56:26, time (data): 1.623 (0.889)] l_pix: 6.0865e-03 
2025-04-24 04:06:46,059 INFO: [train..][epoch:  0, iter:     200, lr:(9.999e-05,)] [eta: 1 day, 17:57:59, time (data): 1.341 (0.784)] l_pix: 4.2198e-03 
2025-04-24 04:08:04,027 INFO: [train..][epoch:  1, iter:     300, lr:(9.998e-05,)] [eta: 1 day, 14:46:36, time (data): 0.741 (0.363)] l_pix: 4.7299e-03 
2025-04-24 04:08:42,857 INFO: [train..][epoch:  1, iter:     400, lr:(9.996e-05,)] [eta: 1 day, 9:06:40, time (data): 0.564 (0.187)] l_pix: 5.5407e-03 
2025-04-24 04:09:21,647 INFO: [train..][epoch:  1, iter:     500, lr:(9.993e-05,)] [eta: 1 day, 5:41:59, time (data): 0.388 (0.013)] l_pix: 4.3852e-03 
2025-04-24 04:16:30,672 INFO: Validation FFHQ_val
	 # psnr: 25.5472	Best: 25.5472 @ 500 iter
	 # niqe: 0.7060	Best: 0.7060 @ 500 iter

2025-04-24 04:17:10,631 INFO: [train..][epoch:  2, iter:     600, lr:(9.990e-05,)] [eta: 2 days, 9:07:31, time (data): 0.394 (0.019)] l_pix: 4.5030e-03 
2025-04-24 04:17:49,503 INFO: [train..][epoch:  2, iter:     700, lr:(9.987e-05,)] [eta: 2 days, 3:14:35, time (data): 0.388 (0.014)] l_pix: 5.0251e-03 
2025-04-24 04:18:29,364 INFO: [train..][epoch:  3, iter:     800, lr:(9.983e-05,)] [eta: 1 day, 22:52:41, time (data): 0.394 (0.019)] l_pix: 4.8697e-03 
2025-04-24 04:19:08,214 INFO: [train..][epoch:  3, iter:     900, lr:(9.978e-05,)] [eta: 1 day, 19:25:59, time (data): 0.388 (0.014)] l_pix: 3.8235e-03 
2025-04-24 04:19:47,377 INFO: [train..][epoch:  3, iter:   1,000, lr:(9.973e-05,)] [eta: 1 day, 16:41:14, time (data): 0.390 (0.014)] l_pix: 3.5439e-03 
2025-04-24 04:21:14,162 INFO: Validation FFHQ_val
	 # psnr: 25.5603	Best: 25.5603 @ 1000 iter
	 # niqe: 0.7066	Best: 0.7066 @ 1000 iter

2025-04-24 04:21:54,159 INFO: [train..][epoch:  4, iter:   1,100, lr:(9.967e-05,)] [eta: 1 day, 17:43:46, time (data): 0.388 (0.014)] l_pix: 5.1217e-03 
2025-04-24 04:22:33,080 INFO: [train..][epoch:  4, iter:   1,200, lr:(9.961e-05,)] [eta: 1 day, 15:34:08, time (data): 0.389 (0.014)] l_pix: 3.7924e-03 
2025-04-24 04:23:13,175 INFO: [train..][epoch:  5, iter:   1,300, lr:(9.954e-05,)] [eta: 1 day, 13:46:33, time (data): 0.402 (0.026)] l_pix: 5.1149e-03 
2025-04-24 04:23:52,145 INFO: [train..][epoch:  5, iter:   1,400, lr:(9.946e-05,)] [eta: 1 day, 12:12:14, time (data): 0.395 (0.020)] l_pix: 3.9973e-03 
2025-04-24 04:24:31,126 INFO: [train..][epoch:  5, iter:   1,500, lr:(9.939e-05,)] [eta: 1 day, 10:50:26, time (data): 0.390 (0.015)] l_pix: 4.0519e-03 
2025-04-24 04:25:53,202 INFO: Validation FFHQ_val
	 # psnr: 25.6354	Best: 25.6354 @ 1500 iter
	 # niqe: 0.7108	Best: 0.7108 @ 1500 iter

2025-04-24 04:26:33,273 INFO: [train..][epoch:  6, iter:   1,600, lr:(9.930e-05,)] [eta: 1 day, 11:47:14, time (data): 0.395 (0.020)] l_pix: 4.2995e-03 
2025-04-24 04:27:12,384 INFO: [train..][epoch:  6, iter:   1,700, lr:(9.921e-05,)] [eta: 1 day, 10:36:28, time (data): 0.391 (0.015)] l_pix: 4.2903e-03 
2025-04-24 04:27:52,529 INFO: [train..][epoch:  7, iter:   1,800, lr:(9.912e-05,)] [eta: 1 day, 9:34:55, time (data): 0.396 (0.020)] l_pix: 3.4291e-03 
2025-04-24 04:28:31,467 INFO: [train..][epoch:  7, iter:   1,900, lr:(9.902e-05,)] [eta: 1 day, 8:38:11, time (data): 0.389 (0.014)] l_pix: 4.1868e-03 
2025-04-24 04:29:10,356 INFO: [train..][epoch:  7, iter:   2,000, lr:(9.891e-05,)] [eta: 1 day, 7:47:01, time (data): 0.389 (0.014)] l_pix: 4.4561e-03 
2025-04-24 04:30:32,799 INFO: Validation FFHQ_val
	 # psnr: 25.7461	Best: 25.7461 @ 2000 iter
	 # niqe: 0.7184	Best: 0.7184 @ 2000 iter

2025-04-24 04:31:12,850 INFO: [train..][epoch:  8, iter:   2,100, lr:(9.880e-05,)] [eta: 1 day, 8:38:44, time (data): 0.389 (0.014)] l_pix: 5.0769e-03 
2025-04-24 04:31:51,905 INFO: [train..][epoch:  8, iter:   2,200, lr:(9.868e-05,)] [eta: 1 day, 7:52:11, time (data): 0.390 (0.014)] l_pix: 3.5034e-03 
2025-04-24 04:32:32,013 INFO: [train..][epoch:  9, iter:   2,300, lr:(9.856e-05,)] [eta: 1 day, 7:10:45, time (data): 0.403 (0.026)] l_pix: 3.4027e-03 
2025-04-24 04:33:11,212 INFO: [train..][epoch:  9, iter:   2,400, lr:(9.843e-05,)] [eta: 1 day, 6:31:47, time (data): 0.397 (0.020)] l_pix: 3.5199e-03 
2025-04-24 04:33:50,349 INFO: [train..][epoch:  9, iter:   2,500, lr:(9.830e-05,)] [eta: 1 day, 5:55:49, time (data): 0.391 (0.014)] l_pix: 3.8159e-03 
2025-04-24 04:35:12,643 INFO: Validation FFHQ_val
	 # psnr: 25.8225	Best: 25.8225 @ 2500 iter
	 # niqe: 0.7260	Best: 0.7260 @ 2500 iter

2025-04-24 04:35:52,751 INFO: [train..][epoch: 10, iter:   2,600, lr:(9.816e-05,)] [eta: 1 day, 6:41:13, time (data): 0.396 (0.020)] l_pix: 4.4404e-03 
2025-04-24 04:36:31,589 INFO: [train..][epoch: 10, iter:   2,700, lr:(9.802e-05,)] [eta: 1 day, 6:07:09, time (data): 0.388 (0.014)] l_pix: 4.4783e-03 
2025-04-24 04:37:11,795 INFO: [train..][epoch: 11, iter:   2,800, lr:(9.787e-05,)] [eta: 1 day, 5:36:39, time (data): 0.396 (0.020)] l_pix: 3.9908e-03 
2025-04-24 04:37:50,618 INFO: [train..][epoch: 11, iter:   2,900, lr:(9.772e-05,)] [eta: 1 day, 5:07:04, time (data): 0.389 (0.015)] l_pix: 3.6986e-03 
2025-04-24 04:38:29,660 INFO: [train..][epoch: 11, iter:   3,000, lr:(9.756e-05,)] [eta: 1 day, 4:39:34, time (data): 0.390 (0.015)] l_pix: 4.2399e-03 
2025-04-24 04:39:52,170 INFO: Validation FFHQ_val
	 # psnr: 25.8499	Best: 25.8499 @ 3000 iter
	 # niqe: 0.7316	Best: 0.7316 @ 3000 iter

2025-04-24 04:40:32,268 INFO: [train..][epoch: 12, iter:   3,100, lr:(9.739e-05,)] [eta: 1 day, 5:19:47, time (data): 0.390 (0.014)] l_pix: 4.1796e-03 
2025-04-24 04:41:11,359 INFO: [train..][epoch: 12, iter:   3,200, lr:(9.722e-05,)] [eta: 1 day, 4:53:32, time (data): 0.390 (0.014)] l_pix: 4.1488e-03 
2025-04-24 04:41:51,417 INFO: [train..][epoch: 13, iter:   3,300, lr:(9.705e-05,)] [eta: 1 day, 4:29:32, time (data): 0.402 (0.027)] l_pix: 4.1253e-03 
2025-04-24 04:42:30,425 INFO: [train..][epoch: 13, iter:   3,400, lr:(9.687e-05,)] [eta: 1 day, 4:06:10, time (data): 0.395 (0.020)] l_pix: 3.3427e-03 
2025-04-24 04:43:09,482 INFO: [train..][epoch: 13, iter:   3,500, lr:(9.668e-05,)] [eta: 1 day, 3:44:07, time (data): 0.390 (0.014)] l_pix: 4.4323e-03 
2025-04-24 04:44:32,019 INFO: Validation FFHQ_val
	 # psnr: 25.8627	Best: 25.8627 @ 3500 iter
	 # niqe: 0.7352	Best: 0.7352 @ 3500 iter

2025-04-24 04:45:12,238 INFO: [train..][epoch: 14, iter:   3,600, lr:(9.649e-05,)] [eta: 1 day, 4:19:59, time (data): 0.397 (0.020)] l_pix: 3.8754e-03 
2025-04-24 04:45:51,228 INFO: [train..][epoch: 14, iter:   3,700, lr:(9.630e-05,)] [eta: 1 day, 3:58:36, time (data): 0.390 (0.014)] l_pix: 3.6920e-03 
2025-04-24 04:46:31,519 INFO: [train..][epoch: 15, iter:   3,800, lr:(9.610e-05,)] [eta: 1 day, 3:39:09, time (data): 0.397 (0.020)] l_pix: 4.1800e-03 
2025-04-24 04:47:10,659 INFO: [train..][epoch: 15, iter:   3,900, lr:(9.589e-05,)] [eta: 1 day, 3:19:57, time (data): 0.390 (0.015)] l_pix: 3.6419e-03 
2025-04-24 04:47:49,775 INFO: [train..][epoch: 15, iter:   4,000, lr:(9.568e-05,)] [eta: 1 day, 3:01:39, time (data): 0.391 (0.015)] l_pix: 4.5743e-03 
2025-04-24 04:49:12,761 INFO: Validation FFHQ_val
	 # psnr: 25.8675	Best: 25.8675 @ 4000 iter
	 # niqe: 0.7376	Best: 0.7376 @ 4000 iter

2025-04-24 04:49:52,987 INFO: [train..][epoch: 16, iter:   4,100, lr:(9.547e-05,)] [eta: 1 day, 3:34:05, time (data): 0.391 (0.014)] l_pix: 4.4839e-03 
2025-04-24 04:50:31,816 INFO: [train..][epoch: 16, iter:   4,200, lr:(9.525e-05,)] [eta: 1 day, 3:16:04, time (data): 0.389 (0.014)] l_pix: 5.0882e-03 
2025-04-24 04:51:11,653 INFO: [train..][epoch: 17, iter:   4,300, lr:(9.502e-05,)] [eta: 1 day, 2:59:25, time (data): 0.401 (0.028)] l_pix: 4.1246e-03 
2025-04-24 04:51:50,757 INFO: [train..][epoch: 17, iter:   4,400, lr:(9.479e-05,)] [eta: 1 day, 2:43:06, time (data): 0.395 (0.020)] l_pix: 3.6682e-03 
2025-04-24 04:52:29,724 INFO: [train..][epoch: 17, iter:   4,500, lr:(9.456e-05,)] [eta: 1 day, 2:27:24, time (data): 0.390 (0.015)] l_pix: 4.8084e-03 
2025-04-24 04:53:52,797 INFO: Validation FFHQ_val
	 # psnr: 25.8723	Best: 25.8723 @ 4500 iter
	 # niqe: 0.7394	Best: 0.7394 @ 4500 iter

2025-04-24 04:54:32,837 INFO: [train..][epoch: 18, iter:   4,600, lr:(9.432e-05,)] [eta: 1 day, 2:56:41, time (data): 0.396 (0.021)] l_pix: 4.2103e-03 
2025-04-24 04:55:11,947 INFO: [train..][epoch: 18, iter:   4,700, lr:(9.407e-05,)] [eta: 1 day, 2:41:21, time (data): 0.391 (0.015)] l_pix: 3.2404e-03 
2025-04-24 04:55:52,223 INFO: [train..][epoch: 19, iter:   4,800, lr:(9.382e-05,)] [eta: 1 day, 2:27:13, time (data): 0.398 (0.020)] l_pix: 4.1908e-03 
2025-04-24 04:56:31,335 INFO: [train..][epoch: 19, iter:   4,900, lr:(9.357e-05,)] [eta: 1 day, 2:13:03, time (data): 0.390 (0.014)] l_pix: 3.6800e-03 
2025-04-24 04:57:10,423 INFO: [train..][epoch: 19, iter:   5,000, lr:(9.331e-05,)] [eta: 1 day, 1:59:26, time (data): 0.390 (0.014)] l_pix: 4.1599e-03 
2025-04-24 04:57:10,424 INFO: Saving models and training states.
2025-04-24 04:58:34,776 INFO: Validation FFHQ_val
	 # psnr: 25.8905	Best: 25.8905 @ 5000 iter
	 # niqe: 0.7408	Best: 0.7408 @ 5000 iter

2025-04-24 04:59:14,910 INFO: [train..][epoch: 20, iter:   5,100, lr:(9.305e-05,)] [eta: 1 day, 2:26:44, time (data): 0.391 (0.014)] l_pix: 3.8630e-03 
2025-04-24 04:59:54,075 INFO: [train..][epoch: 20, iter:   5,200, lr:(9.278e-05,)] [eta: 1 day, 2:13:20, time (data): 0.391 (0.014)] l_pix: 4.1946e-03 
2025-04-24 05:00:34,431 INFO: [train..][epoch: 21, iter:   5,300, lr:(9.250e-05,)] [eta: 1 day, 2:00:56, time (data): 0.407 (0.029)] l_pix: 3.4147e-03 
2025-04-24 05:01:13,604 INFO: [train..][epoch: 21, iter:   5,400, lr:(9.223e-05,)] [eta: 1 day, 1:48:28, time (data): 0.398 (0.021)] l_pix: 3.5205e-03 
2025-04-24 05:01:52,641 INFO: [train..][epoch: 21, iter:   5,500, lr:(9.194e-05,)] [eta: 1 day, 1:36:21, time (data): 0.391 (0.014)] l_pix: 3.1822e-03 
2025-04-24 05:03:17,581 INFO: Validation FFHQ_val
	 # psnr: 25.9173	Best: 25.9173 @ 5500 iter
	 # niqe: 0.7422	Best: 0.7422 @ 5500 iter

2025-04-24 05:03:57,617 INFO: [train..][epoch: 22, iter:   5,600, lr:(9.166e-05,)] [eta: 1 day, 2:01:35, time (data): 0.396 (0.021)] l_pix: 4.9636e-03 
2025-04-24 05:04:36,667 INFO: [train..][epoch: 22, iter:   5,700, lr:(9.137e-05,)] [eta: 1 day, 1:49:36, time (data): 0.391 (0.014)] l_pix: 4.4488e-03 
2025-04-24 05:05:16,681 INFO: [train..][epoch: 23, iter:   5,800, lr:(9.107e-05,)] [eta: 1 day, 1:38:24, time (data): 0.396 (0.021)] l_pix: 4.0172e-03 
2025-04-24 05:05:55,737 INFO: [train..][epoch: 23, iter:   5,900, lr:(9.077e-05,)] [eta: 1 day, 1:27:11, time (data): 0.391 (0.015)] l_pix: 4.3133e-03 
2025-04-24 05:06:34,750 INFO: [train..][epoch: 23, iter:   6,000, lr:(9.046e-05,)] [eta: 1 day, 1:16:18, time (data): 0.390 (0.015)] l_pix: 3.8101e-03 
2025-04-24 05:07:58,327 INFO: Validation FFHQ_val
	 # psnr: 25.9394	Best: 25.9394 @ 6000 iter
	 # niqe: 0.7435	Best: 0.7435 @ 6000 iter

2025-04-24 05:08:38,525 INFO: [train..][epoch: 24, iter:   6,100, lr:(9.015e-05,)] [eta: 1 day, 1:39:04, time (data): 0.391 (0.014)] l_pix: 4.0471e-03 
2025-04-24 05:09:17,545 INFO: [train..][epoch: 24, iter:   6,200, lr:(8.984e-05,)] [eta: 1 day, 1:28:16, time (data): 0.390 (0.014)] l_pix: 5.6517e-03 
2025-04-24 05:09:57,716 INFO: [train..][epoch: 25, iter:   6,300, lr:(8.952e-05,)] [eta: 1 day, 1:18:14, time (data): 0.406 (0.029)] l_pix: 3.9077e-03 
2025-04-24 05:10:36,671 INFO: [train..][epoch: 25, iter:   6,400, lr:(8.920e-05,)] [eta: 1 day, 1:08:03, time (data): 0.396 (0.020)] l_pix: 4.9144e-03 
2025-04-24 05:11:15,752 INFO: [train..][epoch: 25, iter:   6,500, lr:(8.887e-05,)] [eta: 1 day, 0:58:11, time (data): 0.391 (0.014)] l_pix: 3.8192e-03 
2025-04-24 05:12:38,958 INFO: Validation FFHQ_val
	 # psnr: 25.9594	Best: 25.9594 @ 6500 iter
	 # niqe: 0.7445	Best: 0.7445 @ 6500 iter

2025-04-24 05:13:19,457 INFO: [train..][epoch: 26, iter:   6,600, lr:(8.854e-05,)] [eta: 1 day, 1:19:15, time (data): 0.399 (0.021)] l_pix: 3.8756e-03 
2025-04-24 05:13:58,459 INFO: [train..][epoch: 26, iter:   6,700, lr:(8.820e-05,)] [eta: 1 day, 1:09:26, time (data): 0.390 (0.014)] l_pix: 4.0286e-03 
2025-04-24 05:14:38,473 INFO: [train..][epoch: 27, iter:   6,800, lr:(8.787e-05,)] [eta: 1 day, 1:00:15, time (data): 0.396 (0.021)] l_pix: 4.6415e-03 
2025-04-24 05:15:17,549 INFO: [train..][epoch: 27, iter:   6,900, lr:(8.752e-05,)] [eta: 1 day, 0:50:59, time (data): 0.390 (0.015)] l_pix: 3.0112e-03 
2025-04-24 05:15:56,451 INFO: [train..][epoch: 27, iter:   7,000, lr:(8.717e-05,)] [eta: 1 day, 0:41:54, time (data): 0.389 (0.015)] l_pix: 3.4112e-03 
2025-04-24 05:17:19,490 INFO: Validation FFHQ_val
	 # psnr: 25.9890	Best: 25.9890 @ 7000 iter
	 # niqe: 0.7455	Best: 0.7455 @ 7000 iter

2025-04-24 05:17:59,844 INFO: [train..][epoch: 28, iter:   7,100, lr:(8.682e-05,)] [eta: 1 day, 1:01:24, time (data): 0.392 (0.015)] l_pix: 3.3556e-03 
2025-04-24 05:18:39,021 INFO: [train..][epoch: 28, iter:   7,200, lr:(8.647e-05,)] [eta: 1 day, 0:52:27, time (data): 0.392 (0.015)] l_pix: 4.2125e-03 
2025-04-24 05:19:19,285 INFO: [train..][epoch: 29, iter:   7,300, lr:(8.611e-05,)] [eta: 1 day, 0:44:06, time (data): 0.410 (0.031)] l_pix: 3.9413e-03 
2025-04-24 05:19:58,381 INFO: [train..][epoch: 29, iter:   7,400, lr:(8.574e-05,)] [eta: 1 day, 0:35:35, time (data): 0.398 (0.021)] l_pix: 4.0126e-03 
2025-04-24 05:20:37,460 INFO: [train..][epoch: 29, iter:   7,500, lr:(8.537e-05,)] [eta: 1 day, 0:27:15, time (data): 0.391 (0.015)] l_pix: 4.8293e-03 
2025-04-24 05:22:00,271 INFO: Validation FFHQ_val
	 # psnr: 26.0169	Best: 26.0169 @ 7500 iter
	 # niqe: 0.7463	Best: 0.7463 @ 7500 iter

2025-04-24 05:22:40,431 INFO: [train..][epoch: 30, iter:   7,600, lr:(8.500e-05,)] [eta: 1 day, 0:45:20, time (data): 0.397 (0.021)] l_pix: 3.5175e-03 
2025-04-24 05:23:19,606 INFO: [train..][epoch: 30, iter:   7,700, lr:(8.463e-05,)] [eta: 1 day, 0:37:05, time (data): 0.393 (0.015)] l_pix: 4.2437e-03 
2025-04-24 05:23:59,834 INFO: [train..][epoch: 31, iter:   7,800, lr:(8.425e-05,)] [eta: 1 day, 0:29:21, time (data): 0.399 (0.021)] l_pix: 2.7860e-03 
2025-04-24 05:24:39,123 INFO: [train..][epoch: 31, iter:   7,900, lr:(8.386e-05,)] [eta: 1 day, 0:21:30, time (data): 0.391 (0.015)] l_pix: 5.3437e-03 
2025-04-24 05:25:18,250 INFO: [train..][epoch: 31, iter:   8,000, lr:(8.348e-05,)] [eta: 1 day, 0:13:48, time (data): 0.391 (0.015)] l_pix: 3.9000e-03 
2025-04-24 05:26:40,084 INFO: Validation FFHQ_val
	 # psnr: 26.0303	Best: 26.0303 @ 8000 iter
	 # niqe: 0.7469	Best: 0.7469 @ 8000 iter

2025-04-24 05:27:20,154 INFO: [train..][epoch: 32, iter:   8,100, lr:(8.309e-05,)] [eta: 1 day, 0:30:25, time (data): 0.390 (0.014)] l_pix: 3.5739e-03 
2025-04-24 05:27:59,256 INFO: [train..][epoch: 32, iter:   8,200, lr:(8.269e-05,)] [eta: 1 day, 0:22:44, time (data): 0.391 (0.014)] l_pix: 4.7656e-03 
2025-04-24 05:28:39,416 INFO: [train..][epoch: 33, iter:   8,300, lr:(8.229e-05,)] [eta: 1 day, 0:15:31, time (data): 0.409 (0.032)] l_pix: 3.8717e-03 
2025-04-24 05:29:18,417 INFO: [train..][epoch: 33, iter:   8,400, lr:(8.189e-05,)] [eta: 1 day, 0:08:08, time (data): 0.397 (0.021)] l_pix: 3.5205e-03 
2025-04-24 05:29:57,537 INFO: [train..][epoch: 33, iter:   8,500, lr:(8.149e-05,)] [eta: 1 day, 0:00:57, time (data): 0.390 (0.014)] l_pix: 3.9296e-03 
2025-04-24 05:31:19,968 INFO: Validation FFHQ_val
	 # psnr: 26.0423	Best: 26.0423 @ 8500 iter
	 # niqe: 0.7474	Best: 0.7474 @ 8500 iter

2025-04-24 05:32:00,174 INFO: [train..][epoch: 34, iter:   8,600, lr:(8.108e-05,)] [eta: 1 day, 0:16:47, time (data): 0.398 (0.021)] l_pix: 3.7849e-03 
2025-04-24 05:32:39,099 INFO: [train..][epoch: 34, iter:   8,700, lr:(8.067e-05,)] [eta: 1 day, 0:09:34, time (data): 0.390 (0.015)] l_pix: 4.3975e-03 
2025-04-24 05:33:19,348 INFO: [train..][epoch: 35, iter:   8,800, lr:(8.025e-05,)] [eta: 1 day, 0:02:50, time (data): 0.398 (0.022)] l_pix: 3.0242e-03 
2025-04-24 05:33:58,654 INFO: [train..][epoch: 35, iter:   8,900, lr:(7.984e-05,)] [eta: 23:56:00, time (data): 0.392 (0.015)] l_pix: 4.0524e-03 
2025-04-24 05:34:37,899 INFO: [train..][epoch: 35, iter:   9,000, lr:(7.941e-05,)] [eta: 23:49:17, time (data): 0.392 (0.015)] l_pix: 4.1668e-03 
2025-04-24 05:35:59,380 INFO: Validation FFHQ_val
	 # psnr: 26.0576	Best: 26.0576 @ 9000 iter
	 # niqe: 0.7479	Best: 0.7479 @ 9000 iter

2025-04-24 05:36:39,555 INFO: [train..][epoch: 36, iter:   9,100, lr:(7.899e-05,)] [eta: 1 day, 0:03:58, time (data): 0.390 (0.015)] l_pix: 4.0139e-03 
2025-04-24 05:37:18,954 INFO: [train..][epoch: 36, iter:   9,200, lr:(7.856e-05,)] [eta: 23:57:19, time (data): 0.392 (0.015)] l_pix: 4.3225e-03 
2025-04-24 05:37:58,966 INFO: [train..][epoch: 37, iter:   9,300, lr:(7.813e-05,)] [eta: 23:50:56, time (data): 0.411 (0.034)] l_pix: 3.5616e-03 
2025-04-24 05:38:37,939 INFO: [train..][epoch: 37, iter:   9,400, lr:(7.770e-05,)] [eta: 23:44:26, time (data): 0.397 (0.022)] l_pix: 4.0304e-03 
2025-04-24 05:39:17,204 INFO: [train..][epoch: 37, iter:   9,500, lr:(7.726e-05,)] [eta: 23:38:07, time (data): 0.392 (0.015)] l_pix: 3.4530e-03 
2025-04-24 05:40:39,561 INFO: Validation FFHQ_val
	 # psnr: 26.0710	Best: 26.0710 @ 9500 iter
	 # niqe: 0.7483	Best: 0.7483 @ 9500 iter

2025-04-24 05:41:19,827 INFO: [train..][epoch: 38, iter:   9,600, lr:(7.682e-05,)] [eta: 23:52:14, time (data): 0.399 (0.022)] l_pix: 4.3152e-03 
2025-04-24 05:41:58,870 INFO: [train..][epoch: 38, iter:   9,700, lr:(7.638e-05,)] [eta: 23:45:52, time (data): 0.390 (0.015)] l_pix: 3.5919e-03 
2025-04-24 05:42:38,937 INFO: [train..][epoch: 39, iter:   9,800, lr:(7.593e-05,)] [eta: 23:39:52, time (data): 0.397 (0.021)] l_pix: 4.7651e-03 
2025-04-24 05:43:18,111 INFO: [train..][epoch: 39, iter:   9,900, lr:(7.548e-05,)] [eta: 23:33:45, time (data): 0.393 (0.015)] l_pix: 4.0767e-03 
2025-04-24 05:43:57,054 INFO: [train..][epoch: 39, iter:  10,000, lr:(7.503e-05,)] [eta: 23:27:42, time (data): 0.391 (0.015)] l_pix: 3.5083e-03 
2025-04-24 05:43:57,055 INFO: Saving models and training states.
2025-04-24 05:45:20,619 INFO: Validation FFHQ_val
	 # psnr: 26.0742	Best: 26.0742 @ 10000 iter
	 # niqe: 0.7487	Best: 0.7487 @ 10000 iter

2025-04-24 05:46:00,886 INFO: [train..][epoch: 40, iter:  10,100, lr:(7.458e-05,)] [eta: 23:41:22, time (data): 0.390 (0.014)] l_pix: 4.0430e-03 
2025-04-24 05:46:40,021 INFO: [train..][epoch: 40, iter:  10,200, lr:(7.412e-05,)] [eta: 23:35:22, time (data): 0.391 (0.014)] l_pix: 4.2070e-03 
2025-04-24 05:47:20,010 INFO: [train..][epoch: 41, iter:  10,300, lr:(7.366e-05,)] [eta: 23:29:39, time (data): 0.389 (0.015)] l_pix: 3.9406e-03 
2025-04-24 05:47:59,033 INFO: [train..][epoch: 41, iter:  10,400, lr:(7.320e-05,)] [eta: 23:23:50, time (data): 0.390 (0.015)] l_pix: 3.8881e-03 
2025-04-24 05:48:38,176 INFO: [train..][epoch: 41, iter:  10,500, lr:(7.273e-05,)] [eta: 23:18:08, time (data): 0.391 (0.014)] l_pix: 3.7483e-03 
2025-04-24 05:50:00,369 INFO: Validation FFHQ_val
	 # psnr: 26.0794	Best: 26.0794 @ 10500 iter
	 # niqe: 0.7490	Best: 0.7490 @ 10500 iter

2025-04-24 05:50:40,680 INFO: [train..][epoch: 42, iter:  10,600, lr:(7.226e-05,)] [eta: 23:30:48, time (data): 0.399 (0.022)] l_pix: 3.8903e-03 
2025-04-24 05:51:19,719 INFO: [train..][epoch: 42, iter:  10,700, lr:(7.179e-05,)] [eta: 23:25:05, time (data): 0.390 (0.014)] l_pix: 3.4674e-03 
2025-04-24 05:51:59,864 INFO: [train..][epoch: 43, iter:  10,800, lr:(7.132e-05,)] [eta: 23:19:42, time (data): 0.398 (0.022)] l_pix: 3.5143e-03 
2025-04-24 05:52:39,130 INFO: [train..][epoch: 43, iter:  10,900, lr:(7.085e-05,)] [eta: 23:14:13, time (data): 0.393 (0.015)] l_pix: 4.1736e-03 
2025-04-24 05:53:18,156 INFO: [train..][epoch: 43, iter:  11,000, lr:(7.037e-05,)] [eta: 23:08:46, time (data): 0.391 (0.015)] l_pix: 3.6019e-03 
2025-04-24 05:54:38,750 INFO: Validation FFHQ_val
	 # psnr: 26.0944	Best: 26.0944 @ 11000 iter
	 # niqe: 0.7495	Best: 0.7495 @ 11000 iter

2025-04-24 05:55:19,061 INFO: [train..][epoch: 44, iter:  11,100, lr:(6.989e-05,)] [eta: 23:20:29, time (data): 0.390 (0.014)] l_pix: 5.3726e-03 
2025-04-24 05:55:58,291 INFO: [train..][epoch: 44, iter:  11,200, lr:(6.941e-05,)] [eta: 23:15:05, time (data): 0.392 (0.015)] l_pix: 4.1540e-03 
2025-04-24 05:56:38,454 INFO: [train..][epoch: 45, iter:  11,300, lr:(6.893e-05,)] [eta: 23:09:57, time (data): 0.393 (0.015)] l_pix: 3.5379e-03 
2025-04-24 05:57:17,567 INFO: [train..][epoch: 45, iter:  11,400, lr:(6.844e-05,)] [eta: 23:04:41, time (data): 0.392 (0.015)] l_pix: 4.1030e-03 
2025-04-24 05:57:56,659 INFO: [train..][epoch: 45, iter:  11,500, lr:(6.796e-05,)] [eta: 22:59:30, time (data): 0.389 (0.014)] l_pix: 3.3478e-03 
2025-04-24 05:59:14,290 INFO: Validation FFHQ_val
	 # psnr: 26.1083	Best: 26.1083 @ 11500 iter
	 # niqe: 0.7498	Best: 0.7498 @ 11500 iter

2025-04-24 05:59:54,508 INFO: [train..][epoch: 46, iter:  11,600, lr:(6.747e-05,)] [eta: 23:10:04, time (data): 0.398 (0.022)] l_pix: 4.2892e-03 
2025-04-24 06:00:33,827 INFO: [train..][epoch: 46, iter:  11,700, lr:(6.697e-05,)] [eta: 23:04:56, time (data): 0.394 (0.015)] l_pix: 3.8146e-03 
2025-04-24 06:01:14,098 INFO: [train..][epoch: 47, iter:  11,800, lr:(6.648e-05,)] [eta: 23:00:04, time (data): 0.400 (0.022)] l_pix: 4.2628e-03 
2025-04-24 06:01:53,251 INFO: [train..][epoch: 47, iter:  11,900, lr:(6.599e-05,)] [eta: 22:55:03, time (data): 0.390 (0.014)] l_pix: 5.0698e-03 
2025-04-24 06:02:32,282 INFO: [train..][epoch: 47, iter:  12,000, lr:(6.549e-05,)] [eta: 22:50:05, time (data): 0.390 (0.014)] l_pix: 3.9527e-03 
2025-04-24 06:03:49,529 INFO: Validation FFHQ_val
	 # psnr: 26.1177	Best: 26.1177 @ 12000 iter
	 # niqe: 0.7500	Best: 0.7500 @ 12000 iter

2025-04-24 06:04:29,589 INFO: [train..][epoch: 48, iter:  12,100, lr:(6.499e-05,)] [eta: 23:00:03, time (data): 0.391 (0.015)] l_pix: 3.7769e-03 
2025-04-24 06:05:08,654 INFO: [train..][epoch: 48, iter:  12,200, lr:(6.449e-05,)] [eta: 22:55:06, time (data): 0.391 (0.014)] l_pix: 4.2258e-03 
2025-04-24 06:05:48,778 INFO: [train..][epoch: 49, iter:  12,300, lr:(6.399e-05,)] [eta: 22:50:25, time (data): 0.390 (0.015)] l_pix: 3.8966e-03 
2025-04-24 06:06:27,859 INFO: [train..][epoch: 49, iter:  12,400, lr:(6.349e-05,)] [eta: 22:45:37, time (data): 0.391 (0.015)] l_pix: 4.9744e-03 
2025-04-24 06:07:06,868 INFO: [train..][epoch: 49, iter:  12,500, lr:(6.298e-05,)] [eta: 22:40:51, time (data): 0.391 (0.015)] l_pix: 3.4858e-03 
2025-04-24 06:08:24,476 INFO: Validation FFHQ_val
	 # psnr: 26.1300	Best: 26.1300 @ 12500 iter
	 # niqe: 0.7504	Best: 0.7504 @ 12500 iter

2025-04-24 06:09:04,539 INFO: [train..][epoch: 50, iter:  12,600, lr:(6.248e-05,)] [eta: 22:50:27, time (data): 0.398 (0.022)] l_pix: 5.0309e-03 
2025-04-24 06:09:43,619 INFO: [train..][epoch: 50, iter:  12,700, lr:(6.197e-05,)] [eta: 22:45:43, time (data): 0.391 (0.015)] l_pix: 4.5584e-03 
2025-04-24 06:10:23,723 INFO: [train..][epoch: 51, iter:  12,800, lr:(6.146e-05,)] [eta: 22:41:13, time (data): 0.398 (0.022)] l_pix: 3.8494e-03 
2025-04-24 06:11:02,932 INFO: [train..][epoch: 51, iter:  12,900, lr:(6.095e-05,)] [eta: 22:36:38, time (data): 0.392 (0.015)] l_pix: 2.9230e-03 
2025-04-24 06:11:42,104 INFO: [train..][epoch: 51, iter:  13,000, lr:(6.044e-05,)] [eta: 22:32:06, time (data): 0.392 (0.015)] l_pix: 3.5521e-03 
2025-04-24 06:12:59,306 INFO: Validation FFHQ_val
	 # psnr: 26.1303	Best: 26.1303 @ 13000 iter
	 # niqe: 0.7505	Best: 0.7505 @ 13000 iter

2025-04-24 06:13:39,273 INFO: [train..][epoch: 52, iter:  13,100, lr:(5.993e-05,)] [eta: 22:41:12, time (data): 0.390 (0.015)] l_pix: 4.2600e-03 
2025-04-24 06:14:18,492 INFO: [train..][epoch: 52, iter:  13,200, lr:(5.941e-05,)] [eta: 22:36:41, time (data): 0.392 (0.015)] l_pix: 4.3254e-03 
2025-04-24 06:14:58,668 INFO: [train..][epoch: 53, iter:  13,300, lr:(5.890e-05,)] [eta: 22:32:23, time (data): 0.390 (0.015)] l_pix: 3.2837e-03 
2025-04-24 06:15:37,690 INFO: [train..][epoch: 53, iter:  13,400, lr:(5.839e-05,)] [eta: 22:27:56, time (data): 0.390 (0.015)] l_pix: 3.4450e-03 
2025-04-24 06:16:16,680 INFO: [train..][epoch: 53, iter:  13,500, lr:(5.787e-05,)] [eta: 22:23:32, time (data): 0.388 (0.015)] l_pix: 3.9574e-03 
2025-04-24 06:17:33,824 INFO: Validation FFHQ_val
	 # psnr: 26.1381	Best: 26.1381 @ 13500 iter
	 # niqe: 0.7508	Best: 0.7508 @ 13500 iter

2025-04-24 06:18:13,988 INFO: [train..][epoch: 54, iter:  13,600, lr:(5.735e-05,)] [eta: 22:32:17, time (data): 0.398 (0.023)] l_pix: 3.2407e-03 
2025-04-24 06:18:52,998 INFO: [train..][epoch: 54, iter:  13,700, lr:(5.683e-05,)] [eta: 22:27:54, time (data): 0.389 (0.014)] l_pix: 3.6002e-03 
2025-04-24 06:19:33,027 INFO: [train..][epoch: 55, iter:  13,800, lr:(5.632e-05,)] [eta: 22:23:44, time (data): 0.397 (0.022)] l_pix: 3.8499e-03 
2025-04-24 06:20:12,048 INFO: [train..][epoch: 55, iter:  13,900, lr:(5.580e-05,)] [eta: 22:19:28, time (data): 0.390 (0.015)] l_pix: 4.6265e-03 
2025-04-24 06:20:51,163 INFO: [train..][epoch: 55, iter:  14,000, lr:(5.528e-05,)] [eta: 22:15:15, time (data): 0.391 (0.015)] l_pix: 4.4366e-03 
2025-04-24 06:22:08,577 INFO: Validation FFHQ_val
	 # psnr: 26.1388	Best: 26.1388 @ 14000 iter
	 # niqe: 0.7510	Best: 0.7510 @ 14000 iter

2025-04-24 06:22:48,608 INFO: [train..][epoch: 56, iter:  14,100, lr:(5.476e-05,)] [eta: 22:23:40, time (data): 0.388 (0.014)] l_pix: 3.4584e-03 
2025-04-24 06:23:27,605 INFO: [train..][epoch: 56, iter:  14,200, lr:(5.423e-05,)] [eta: 22:19:26, time (data): 0.389 (0.014)] l_pix: 4.4951e-03 
2025-04-24 06:24:07,757 INFO: [train..][epoch: 57, iter:  14,300, lr:(5.371e-05,)] [eta: 22:15:27, time (data): 0.391 (0.015)] l_pix: 3.7900e-03 
2025-04-24 06:24:46,885 INFO: [train..][epoch: 57, iter:  14,400, lr:(5.319e-05,)] [eta: 22:11:20, time (data): 0.391 (0.015)] l_pix: 3.7173e-03 
2025-04-24 06:25:25,995 INFO: [train..][epoch: 57, iter:  14,500, lr:(5.267e-05,)] [eta: 22:07:16, time (data): 0.391 (0.014)] l_pix: 3.1998e-03 
2025-04-24 06:26:44,168 INFO: Validation FFHQ_val
	 # psnr: 26.1509	Best: 26.1509 @ 14500 iter
	 # niqe: 0.7512	Best: 0.7512 @ 14500 iter

2025-04-24 06:27:24,312 INFO: [train..][epoch: 58, iter:  14,600, lr:(5.215e-05,)] [eta: 22:15:30, time (data): 0.399 (0.023)] l_pix: 4.1354e-03 
2025-04-24 06:28:03,519 INFO: [train..][epoch: 58, iter:  14,700, lr:(5.162e-05,)] [eta: 22:11:27, time (data): 0.392 (0.015)] l_pix: 4.9284e-03 
2025-04-24 06:28:43,552 INFO: [train..][epoch: 59, iter:  14,800, lr:(5.110e-05,)] [eta: 22:07:34, time (data): 0.399 (0.023)] l_pix: 4.3744e-03 
2025-04-24 06:29:22,703 INFO: [train..][epoch: 59, iter:  14,900, lr:(5.058e-05,)] [eta: 22:03:36, time (data): 0.394 (0.015)] l_pix: 3.5356e-03 
2025-04-24 06:30:01,757 INFO: [train..][epoch: 59, iter:  15,000, lr:(5.006e-05,)] [eta: 21:59:39, time (data): 0.391 (0.015)] l_pix: 3.4196e-03 
2025-04-24 06:30:01,758 INFO: Saving models and training states.
2025-04-24 06:31:24,560 INFO: Validation FFHQ_val
	 # psnr: 26.1523	Best: 26.1523 @ 15000 iter
	 # niqe: 0.7513	Best: 0.7513 @ 15000 iter

2025-04-24 06:32:04,729 INFO: [train..][epoch: 60, iter:  15,100, lr:(4.953e-05,)] [eta: 22:08:15, time (data): 0.390 (0.014)] l_pix: 3.4171e-03 
2025-04-24 06:32:43,977 INFO: [train..][epoch: 60, iter:  15,200, lr:(4.901e-05,)] [eta: 22:04:20, time (data): 0.392 (0.014)] l_pix: 4.2565e-03 
2025-04-24 06:33:24,122 INFO: [train..][epoch: 61, iter:  15,300, lr:(4.849e-05,)] [eta: 22:00:36, time (data): 0.389 (0.015)] l_pix: 4.3107e-03 
2025-04-24 06:34:03,271 INFO: [train..][epoch: 61, iter:  15,400, lr:(4.796e-05,)] [eta: 21:56:45, time (data): 0.391 (0.015)] l_pix: 2.9641e-03 
2025-04-24 06:34:42,196 INFO: [train..][epoch: 61, iter:  15,500, lr:(4.744e-05,)] [eta: 21:52:55, time (data): 0.387 (0.014)] l_pix: 4.2634e-03 
2025-04-24 06:36:04,792 INFO: Validation FFHQ_val
	 # psnr: 26.1676	Best: 26.1676 @ 15500 iter
	 # niqe: 0.7516	Best: 0.7516 @ 15500 iter

2025-04-24 06:36:44,911 INFO: [train..][epoch: 62, iter:  15,600, lr:(4.692e-05,)] [eta: 22:01:09, time (data): 0.399 (0.023)] l_pix: 3.3447e-03 
2025-04-24 06:37:23,911 INFO: [train..][epoch: 62, iter:  15,700, lr:(4.640e-05,)] [eta: 21:57:19, time (data): 0.391 (0.014)] l_pix: 3.6597e-03 
2025-04-24 06:38:04,169 INFO: [train..][epoch: 63, iter:  15,800, lr:(4.588e-05,)] [eta: 21:53:42, time (data): 0.400 (0.023)] l_pix: 3.5398e-03 
2025-04-24 06:38:43,388 INFO: [train..][epoch: 63, iter:  15,900, lr:(4.535e-05,)] [eta: 21:49:59, time (data): 0.393 (0.015)] l_pix: 4.7821e-03 
2025-04-24 06:39:22,429 INFO: [train..][epoch: 63, iter:  16,000, lr:(4.483e-05,)] [eta: 21:46:16, time (data): 0.391 (0.015)] l_pix: 4.2234e-03 
2025-04-24 06:40:46,560 INFO: Validation FFHQ_val
	 # psnr: 26.1740	Best: 26.1740 @ 16000 iter
	 # niqe: 0.7518	Best: 0.7518 @ 16000 iter

2025-04-24 06:41:26,674 INFO: [train..][epoch: 64, iter:  16,100, lr:(4.431e-05,)] [eta: 21:54:25, time (data): 0.392 (0.014)] l_pix: 3.2421e-03 
2025-04-24 06:42:05,778 INFO: [train..][epoch: 64, iter:  16,200, lr:(4.379e-05,)] [eta: 21:50:42, time (data): 0.391 (0.014)] l_pix: 4.9171e-03 
2025-04-24 06:42:45,999 INFO: [train..][epoch: 65, iter:  16,300, lr:(4.328e-05,)] [eta: 21:47:11, time (data): 0.391 (0.015)] l_pix: 3.0954e-03 
2025-04-24 06:43:25,106 INFO: [train..][epoch: 65, iter:  16,400, lr:(4.276e-05,)] [eta: 21:43:33, time (data): 0.391 (0.015)] l_pix: 3.9526e-03 
2025-04-24 06:44:04,182 INFO: [train..][epoch: 65, iter:  16,500, lr:(4.224e-05,)] [eta: 21:39:57, time (data): 0.393 (0.014)] l_pix: 4.2423e-03 
2025-04-24 06:45:28,503 INFO: Validation FFHQ_val
	 # psnr: 26.1730	Best: 26.1740 @ 16000 iter
	 # niqe: 0.7519	Best: 0.7519 @ 16500 iter

2025-04-24 06:46:08,856 INFO: [train..][epoch: 66, iter:  16,600, lr:(4.173e-05,)] [eta: 21:47:51, time (data): 0.402 (0.024)] l_pix: 3.7242e-03 
2025-04-24 06:46:48,085 INFO: [train..][epoch: 66, iter:  16,700, lr:(4.121e-05,)] [eta: 21:44:16, time (data): 0.390 (0.014)] l_pix: 3.7001e-03 
2025-04-24 06:47:28,225 INFO: [train..][epoch: 67, iter:  16,800, lr:(4.070e-05,)] [eta: 21:40:50, time (data): 0.400 (0.024)] l_pix: 3.8304e-03 
2025-04-24 06:48:07,353 INFO: [train..][epoch: 67, iter:  16,900, lr:(4.018e-05,)] [eta: 21:37:18, time (data): 0.395 (0.016)] l_pix: 3.6268e-03 
2025-04-24 06:48:46,474 INFO: [train..][epoch: 67, iter:  17,000, lr:(3.967e-05,)] [eta: 21:33:48, time (data): 0.392 (0.015)] l_pix: 5.3811e-03 
2025-04-24 06:50:05,745 INFO: Validation FFHQ_val
	 # psnr: 26.1791	Best: 26.1791 @ 17000 iter
	 # niqe: 0.7520	Best: 0.7520 @ 17000 iter

2025-04-24 06:50:46,017 INFO: [train..][epoch: 68, iter:  17,100, lr:(3.916e-05,)] [eta: 21:40:45, time (data): 0.391 (0.014)] l_pix: 4.2053e-03 
2025-04-24 06:51:25,079 INFO: [train..][epoch: 68, iter:  17,200, lr:(3.865e-05,)] [eta: 21:37:15, time (data): 0.391 (0.015)] l_pix: 3.2331e-03 
2025-04-24 06:52:05,374 INFO: [train..][epoch: 69, iter:  17,300, lr:(3.814e-05,)] [eta: 21:33:56, time (data): 0.391 (0.015)] l_pix: 3.3467e-03 
2025-04-24 06:52:44,687 INFO: [train..][epoch: 69, iter:  17,400, lr:(3.763e-05,)] [eta: 21:30:31, time (data): 0.393 (0.015)] l_pix: 3.7519e-03 
2025-04-24 06:53:23,839 INFO: [train..][epoch: 69, iter:  17,500, lr:(3.713e-05,)] [eta: 21:27:07, time (data): 0.392 (0.014)] l_pix: 4.1243e-03 
2025-04-24 06:54:43,266 INFO: Validation FFHQ_val
	 # psnr: 26.1766	Best: 26.1791 @ 17000 iter
	 # niqe: 0.7521	Best: 0.7521 @ 17500 iter

2025-04-24 06:55:23,641 INFO: [train..][epoch: 70, iter:  17,600, lr:(3.662e-05,)] [eta: 21:33:51, time (data): 0.402 (0.024)] l_pix: 3.3865e-03 
2025-04-24 06:56:02,735 INFO: [train..][epoch: 70, iter:  17,700, lr:(3.612e-05,)] [eta: 21:30:27, time (data): 0.393 (0.015)] l_pix: 4.4402e-03 
2025-04-24 06:56:43,009 INFO: [train..][epoch: 71, iter:  17,800, lr:(3.562e-05,)] [eta: 21:27:13, time (data): 0.402 (0.024)] l_pix: 3.2211e-03 
2025-04-24 06:57:22,041 INFO: [train..][epoch: 71, iter:  17,900, lr:(3.512e-05,)] [eta: 21:23:51, time (data): 0.389 (0.014)] l_pix: 3.5605e-03 
2025-04-24 06:58:01,043 INFO: [train..][epoch: 71, iter:  18,000, lr:(3.462e-05,)] [eta: 21:20:31, time (data): 0.390 (0.015)] l_pix: 3.3205e-03 
2025-04-24 06:59:20,242 INFO: Validation FFHQ_val
	 # psnr: 26.1784	Best: 26.1791 @ 17000 iter
	 # niqe: 0.7522	Best: 0.7522 @ 18000 iter

2025-04-24 07:00:00,608 INFO: [train..][epoch: 72, iter:  18,100, lr:(3.412e-05,)] [eta: 21:27:00, time (data): 0.387 (0.014)] l_pix: 3.1014e-03 
2025-04-24 07:00:39,781 INFO: [train..][epoch: 72, iter:  18,200, lr:(3.363e-05,)] [eta: 21:23:41, time (data): 0.391 (0.014)] l_pix: 3.6487e-03 
2025-04-24 07:01:19,991 INFO: [train..][epoch: 73, iter:  18,300, lr:(3.313e-05,)] [eta: 21:20:32, time (data): 0.390 (0.016)] l_pix: 4.1083e-03 
2025-04-24 07:01:59,216 INFO: [train..][epoch: 73, iter:  18,400, lr:(3.264e-05,)] [eta: 21:17:17, time (data): 0.392 (0.015)] l_pix: 5.5468e-03 
2025-04-24 07:02:38,487 INFO: [train..][epoch: 73, iter:  18,500, lr:(3.215e-05,)] [eta: 21:14:04, time (data): 0.392 (0.014)] l_pix: 3.6566e-03 
2025-04-24 07:03:58,231 INFO: Validation FFHQ_val
	 # psnr: 26.1913	Best: 26.1913 @ 18500 iter
	 # niqe: 0.7524	Best: 0.7524 @ 18500 iter

2025-04-24 07:04:38,284 INFO: [train..][epoch: 74, iter:  18,600, lr:(3.167e-05,)] [eta: 21:20:21, time (data): 0.400 (0.025)] l_pix: 3.6276e-03 
2025-04-24 07:05:17,502 INFO: [train..][epoch: 74, iter:  18,700, lr:(3.118e-05,)] [eta: 21:17:07, time (data): 0.393 (0.015)] l_pix: 4.1909e-03 
2025-04-24 07:05:57,742 INFO: [train..][epoch: 75, iter:  18,800, lr:(3.070e-05,)] [eta: 21:14:03, time (data): 0.402 (0.026)] l_pix: 3.8251e-03 
2025-04-24 07:06:37,037 INFO: [train..][epoch: 75, iter:  18,900, lr:(3.022e-05,)] [eta: 21:10:53, time (data): 0.395 (0.016)] l_pix: 3.9589e-03 
2025-04-24 07:07:16,246 INFO: [train..][epoch: 75, iter:  19,000, lr:(2.974e-05,)] [eta: 21:07:44, time (data): 0.392 (0.015)] l_pix: 3.3949e-03 
2025-04-24 07:08:36,190 INFO: Validation FFHQ_val
	 # psnr: 26.1922	Best: 26.1922 @ 19000 iter
	 # niqe: 0.7525	Best: 0.7525 @ 19000 iter

2025-04-24 07:09:16,195 INFO: [train..][epoch: 76, iter:  19,100, lr:(2.926e-05,)] [eta: 21:13:50, time (data): 0.392 (0.014)] l_pix: 3.7899e-03 
2025-04-24 07:09:55,313 INFO: [train..][epoch: 76, iter:  19,200, lr:(2.879e-05,)] [eta: 21:10:40, time (data): 0.391 (0.015)] l_pix: 4.0792e-03 
2025-04-24 07:10:35,401 INFO: [train..][epoch: 77, iter:  19,300, lr:(2.831e-05,)] [eta: 21:07:39, time (data): 0.388 (0.016)] l_pix: 4.0817e-03 
2025-04-24 07:11:14,846 INFO: [train..][epoch: 77, iter:  19,400, lr:(2.785e-05,)] [eta: 21:04:34, time (data): 0.394 (0.015)] l_pix: 4.9189e-03 
2025-04-24 07:11:53,983 INFO: [train..][epoch: 77, iter:  19,500, lr:(2.738e-05,)] [eta: 21:01:29, time (data): 0.391 (0.015)] l_pix: 3.4264e-03 
2025-04-24 07:13:13,557 INFO: Validation FFHQ_val
	 # psnr: 26.1938	Best: 26.1938 @ 19500 iter
	 # niqe: 0.7526	Best: 0.7526 @ 19500 iter

2025-04-24 07:13:53,655 INFO: [train..][epoch: 78, iter:  19,600, lr:(2.691e-05,)] [eta: 21:07:22, time (data): 0.401 (0.024)] l_pix: 3.5432e-03 
2025-04-24 07:14:33,063 INFO: [train..][epoch: 78, iter:  19,700, lr:(2.645e-05,)] [eta: 21:04:18, time (data): 0.386 (0.015)] l_pix: 5.4232e-03 
2025-04-24 07:15:13,402 INFO: [train..][epoch: 79, iter:  19,800, lr:(2.599e-05,)] [eta: 21:01:22, time (data): 0.403 (0.026)] l_pix: 3.7631e-03 
2025-04-24 07:15:52,627 INFO: [train..][epoch: 79, iter:  19,900, lr:(2.553e-05,)] [eta: 20:58:21, time (data): 0.412 (0.021)] l_pix: 2.3508e-03 
2025-04-24 07:16:31,841 INFO: [train..][epoch: 79, iter:  20,000, lr:(2.508e-05,)] [eta: 20:55:20, time (data): 0.392 (0.015)] l_pix: 3.4819e-03 
2025-04-24 07:16:31,843 INFO: Saving models and training states.
2025-04-24 07:17:57,178 INFO: Validation FFHQ_val
	 # psnr: 26.1984	Best: 26.1984 @ 20000 iter
	 # niqe: 0.7526	Best: 0.7526 @ 20000 iter

2025-04-24 07:18:37,413 INFO: [train..][epoch: 80, iter:  20,100, lr:(2.463e-05,)] [eta: 21:01:40, time (data): 0.397 (0.020)] l_pix: 3.3696e-03 
2025-04-24 07:19:16,637 INFO: [train..][epoch: 80, iter:  20,200, lr:(2.418e-05,)] [eta: 20:58:39, time (data): 0.392 (0.015)] l_pix: 3.2657e-03 
2025-04-24 07:19:56,828 INFO: [train..][epoch: 81, iter:  20,300, lr:(2.373e-05,)] [eta: 20:55:46, time (data): 0.397 (0.020)] l_pix: 3.9163e-03 
2025-04-24 07:20:36,157 INFO: [train..][epoch: 81, iter:  20,400, lr:(2.329e-05,)] [eta: 20:52:48, time (data): 0.393 (0.015)] l_pix: 5.2934e-03 
2025-04-24 07:21:15,306 INFO: [train..][epoch: 81, iter:  20,500, lr:(2.285e-05,)] [eta: 20:49:51, time (data): 0.392 (0.015)] l_pix: 3.8959e-03 
2025-04-24 07:22:40,652 INFO: Validation FFHQ_val
	 # psnr: 26.1988	Best: 26.1988 @ 20500 iter
	 # niqe: 0.7527	Best: 0.7527 @ 20500 iter

2025-04-24 07:23:20,735 INFO: [train..][epoch: 82, iter:  20,600, lr:(2.241e-05,)] [eta: 20:55:58, time (data): 0.390 (0.015)] l_pix: 5.0161e-03 
2025-04-24 07:24:00,005 INFO: [train..][epoch: 82, iter:  20,700, lr:(2.198e-05,)] [eta: 20:53:01, time (data): 0.391 (0.015)] l_pix: 3.4962e-03 
2025-04-24 07:24:40,499 INFO: [train..][epoch: 83, iter:  20,800, lr:(2.155e-05,)] [eta: 20:50:13, time (data): 0.405 (0.026)] l_pix: 3.8912e-03 
2025-04-24 07:25:19,716 INFO: [train..][epoch: 83, iter:  20,900, lr:(2.112e-05,)] [eta: 20:47:19, time (data): 0.398 (0.021)] l_pix: 4.4097e-03 
2025-04-24 07:25:59,002 INFO: [train..][epoch: 83, iter:  21,000, lr:(2.069e-05,)] [eta: 20:44:26, time (data): 0.393 (0.015)] l_pix: 3.2951e-03 
2025-04-24 07:27:25,206 INFO: Validation FFHQ_val
	 # psnr: 26.2072	Best: 26.2072 @ 21000 iter
	 # niqe: 0.7528	Best: 0.7528 @ 21000 iter

2025-04-24 07:28:05,526 INFO: [train..][epoch: 84, iter:  21,100, lr:(2.027e-05,)] [eta: 20:50:27, time (data): 0.398 (0.020)] l_pix: 3.5586e-03 
2025-04-24 07:28:44,740 INFO: [train..][epoch: 84, iter:  21,200, lr:(1.985e-05,)] [eta: 20:47:34, time (data): 0.392 (0.015)] l_pix: 4.3191e-03 
2025-04-24 07:29:25,005 INFO: [train..][epoch: 85, iter:  21,300, lr:(1.944e-05,)] [eta: 20:44:48, time (data): 0.397 (0.020)] l_pix: 3.5667e-03 
2025-04-24 07:30:04,364 INFO: [train..][epoch: 85, iter:  21,400, lr:(1.903e-05,)] [eta: 20:41:57, time (data): 0.394 (0.015)] l_pix: 3.9804e-03 
2025-04-24 07:30:43,623 INFO: [train..][epoch: 85, iter:  21,500, lr:(1.862e-05,)] [eta: 20:39:08, time (data): 0.393 (0.015)] l_pix: 4.7100e-03 
2025-04-24 07:32:10,049 INFO: Validation FFHQ_val
	 # psnr: 26.2101	Best: 26.2101 @ 21500 iter
	 # niqe: 0.7529	Best: 0.7529 @ 21500 iter

2025-04-24 07:32:50,319 INFO: [train..][epoch: 86, iter:  21,600, lr:(1.821e-05,)] [eta: 20:44:59, time (data): 0.390 (0.014)] l_pix: 4.5527e-03 
2025-04-24 07:33:29,434 INFO: [train..][epoch: 86, iter:  21,700, lr:(1.781e-05,)] [eta: 20:42:08, time (data): 0.391 (0.015)] l_pix: 3.8539e-03 
2025-04-24 07:34:09,781 INFO: [train..][epoch: 87, iter:  21,800, lr:(1.742e-05,)] [eta: 20:39:26, time (data): 0.404 (0.027)] l_pix: 2.9120e-03 
2025-04-24 07:34:48,951 INFO: [train..][epoch: 87, iter:  21,900, lr:(1.702e-05,)] [eta: 20:36:38, time (data): 0.398 (0.021)] l_pix: 3.7805e-03 
2025-04-24 07:35:28,098 INFO: [train..][epoch: 87, iter:  22,000, lr:(1.663e-05,)] [eta: 20:33:51, time (data): 0.391 (0.015)] l_pix: 3.2680e-03 
2025-04-24 07:36:53,455 INFO: Validation FFHQ_val
	 # psnr: 26.2144	Best: 26.2144 @ 22000 iter
	 # niqe: 0.7529	Best: 0.7529 @ 22000 iter

2025-04-24 07:37:33,898 INFO: [train..][epoch: 88, iter:  22,100, lr:(1.624e-05,)] [eta: 20:39:26, time (data): 0.398 (0.021)] l_pix: 3.2951e-03 
2025-04-24 07:38:13,060 INFO: [train..][epoch: 88, iter:  22,200, lr:(1.586e-05,)] [eta: 20:36:39, time (data): 0.392 (0.014)] l_pix: 3.4078e-03 
2025-04-24 07:38:53,282 INFO: [train..][epoch: 89, iter:  22,300, lr:(1.548e-05,)] [eta: 20:33:58, time (data): 0.397 (0.020)] l_pix: 3.4556e-03 
2025-04-24 07:39:32,403 INFO: [train..][epoch: 89, iter:  22,400, lr:(1.511e-05,)] [eta: 20:31:13, time (data): 0.391 (0.015)] l_pix: 3.0574e-03 
2025-04-24 07:40:11,819 INFO: [train..][epoch: 89, iter:  22,500, lr:(1.473e-05,)] [eta: 20:28:30, time (data): 0.393 (0.015)] l_pix: 3.7174e-03 
2025-04-24 07:41:35,494 INFO: Validation FFHQ_val
	 # psnr: 26.2207	Best: 26.2207 @ 22500 iter
	 # niqe: 0.7531	Best: 0.7531 @ 22500 iter

2025-04-24 07:42:15,515 INFO: [train..][epoch: 90, iter:  22,600, lr:(1.437e-05,)] [eta: 20:33:44, time (data): 0.388 (0.014)] l_pix: 3.8066e-03 
2025-04-24 07:42:54,661 INFO: [train..][epoch: 90, iter:  22,700, lr:(1.400e-05,)] [eta: 20:31:00, time (data): 0.390 (0.014)] l_pix: 3.6853e-03 
2025-04-24 07:43:34,869 INFO: [train..][epoch: 91, iter:  22,800, lr:(1.364e-05,)] [eta: 20:28:22, time (data): 0.404 (0.027)] l_pix: 4.0369e-03 
2025-04-24 07:44:13,815 INFO: [train..][epoch: 91, iter:  22,900, lr:(1.329e-05,)] [eta: 20:25:39, time (data): 0.396 (0.021)] l_pix: 3.3722e-03 
2025-04-24 07:44:53,009 INFO: [train..][epoch: 91, iter:  23,000, lr:(1.293e-05,)] [eta: 20:22:58, time (data): 0.392 (0.015)] l_pix: 3.0619e-03 
2025-04-24 07:46:13,651 INFO: Validation FFHQ_val
	 # psnr: 26.2194	Best: 26.2207 @ 22500 iter
	 # niqe: 0.7531	Best: 0.7531 @ 23000 iter

2025-04-24 07:46:53,891 INFO: [train..][epoch: 92, iter:  23,100, lr:(1.259e-05,)] [eta: 20:27:47, time (data): 0.398 (0.021)] l_pix: 4.5517e-03 
2025-04-24 07:47:32,906 INFO: [train..][epoch: 92, iter:  23,200, lr:(1.224e-05,)] [eta: 20:25:05, time (data): 0.390 (0.015)] l_pix: 3.0157e-03 
2025-04-24 07:48:13,404 INFO: [train..][epoch: 93, iter:  23,300, lr:(1.190e-05,)] [eta: 20:22:32, time (data): 0.398 (0.021)] l_pix: 3.0061e-03 
2025-04-24 07:48:52,665 INFO: [train..][epoch: 93, iter:  23,400, lr:(1.157e-05,)] [eta: 20:19:53, time (data): 0.392 (0.015)] l_pix: 3.8728e-03 
2025-04-24 07:49:31,816 INFO: [train..][epoch: 93, iter:  23,500, lr:(1.123e-05,)] [eta: 20:17:15, time (data): 0.392 (0.015)] l_pix: 3.5564e-03 
2025-04-24 07:50:51,932 INFO: Validation FFHQ_val
	 # psnr: 26.2223	Best: 26.2223 @ 23500 iter
	 # niqe: 0.7531	Best: 0.7531 @ 23500 iter

2025-04-24 07:51:32,108 INFO: [train..][epoch: 94, iter:  23,600, lr:(1.091e-05,)] [eta: 20:21:52, time (data): 0.389 (0.014)] l_pix: 3.7576e-03 
2025-04-24 07:52:11,202 INFO: [train..][epoch: 94, iter:  23,700, lr:(1.058e-05,)] [eta: 20:19:13, time (data): 0.390 (0.014)] l_pix: 3.3448e-03 
2025-04-24 07:52:51,559 INFO: [train..][epoch: 95, iter:  23,800, lr:(1.027e-05,)] [eta: 20:16:42, time (data): 0.406 (0.028)] l_pix: 4.1998e-03 
2025-04-24 07:53:30,703 INFO: [train..][epoch: 95, iter:  23,900, lr:(9.952e-06,)] [eta: 20:14:06, time (data): 0.398 (0.021)] l_pix: 3.2061e-03 
2025-04-24 07:54:09,741 INFO: [train..][epoch: 95, iter:  24,000, lr:(9.643e-06,)] [eta: 20:11:29, time (data): 0.391 (0.015)] l_pix: 4.4460e-03 
2025-04-24 07:55:30,002 INFO: Validation FFHQ_val
	 # psnr: 26.2231	Best: 26.2231 @ 24000 iter
	 # niqe: 0.7532	Best: 0.7532 @ 24000 iter

2025-04-24 07:56:10,482 INFO: [train..][epoch: 96, iter:  24,100, lr:(9.337e-06,)] [eta: 20:16:01, time (data): 0.398 (0.021)] l_pix: 3.3954e-03 
2025-04-24 07:56:49,525 INFO: [train..][epoch: 96, iter:  24,200, lr:(9.037e-06,)] [eta: 20:13:25, time (data): 0.391 (0.015)] l_pix: 3.2208e-03 
2025-04-24 07:57:29,886 INFO: [train..][epoch: 97, iter:  24,300, lr:(8.740e-06,)] [eta: 20:10:56, time (data): 0.398 (0.021)] l_pix: 3.7478e-03 
2025-04-24 07:58:08,952 INFO: [train..][epoch: 97, iter:  24,400, lr:(8.448e-06,)] [eta: 20:08:22, time (data): 0.391 (0.015)] l_pix: 4.8744e-03 
2025-04-24 07:58:47,989 INFO: [train..][epoch: 97, iter:  24,500, lr:(8.161e-06,)] [eta: 20:05:49, time (data): 0.391 (0.015)] l_pix: 3.6785e-03 
2025-04-24 08:00:08,886 INFO: Validation FFHQ_val
	 # psnr: 26.2234	Best: 26.2234 @ 24500 iter
	 # niqe: 0.7532	Best: 0.7532 @ 24500 iter

2025-04-24 08:00:49,013 INFO: [train..][epoch: 98, iter:  24,600, lr:(7.879e-06,)] [eta: 20:10:14, time (data): 0.390 (0.014)] l_pix: 4.5901e-03 
2025-04-24 08:01:28,184 INFO: [train..][epoch: 98, iter:  24,700, lr:(7.601e-06,)] [eta: 20:07:41, time (data): 0.391 (0.015)] l_pix: 4.7811e-03 
2025-04-24 08:02:08,534 INFO: [train..][epoch: 99, iter:  24,800, lr:(7.327e-06,)] [eta: 20:05:15, time (data): 0.406 (0.029)] l_pix: 3.8362e-03 
2025-04-24 08:02:47,699 INFO: [train..][epoch: 99, iter:  24,900, lr:(7.059e-06,)] [eta: 20:02:44, time (data): 0.398 (0.021)] l_pix: 3.9930e-03 
2025-04-24 08:03:26,872 INFO: [train..][epoch: 99, iter:  25,000, lr:(6.795e-06,)] [eta: 20:00:14, time (data): 0.392 (0.015)] l_pix: 4.3805e-03 
2025-04-24 08:03:26,873 INFO: Saving models and training states.
2025-04-24 08:04:52,886 INFO: Validation FFHQ_val
	 # psnr: 26.2242	Best: 26.2242 @ 25000 iter
	 # niqe: 0.7532	Best: 0.7532 @ 25000 iter

2025-04-24 08:05:33,210 INFO: [train..][epoch:100, iter:  25,100, lr:(6.535e-06,)] [eta: 20:04:58, time (data): 0.398 (0.021)] l_pix: 3.4846e-03 
2025-04-24 08:06:12,442 INFO: [train..][epoch:100, iter:  25,200, lr:(6.281e-06,)] [eta: 20:02:28, time (data): 0.392 (0.014)] l_pix: 3.6127e-03 
2025-04-24 08:06:52,696 INFO: [train..][epoch:101, iter:  25,300, lr:(6.031e-06,)] [eta: 20:00:03, time (data): 0.398 (0.021)] l_pix: 3.7843e-03 
2025-04-24 08:07:31,717 INFO: [train..][epoch:101, iter:  25,400, lr:(5.787e-06,)] [eta: 19:57:34, time (data): 0.389 (0.015)] l_pix: 4.7244e-03 
2025-04-24 08:08:10,947 INFO: [train..][epoch:101, iter:  25,500, lr:(5.547e-06,)] [eta: 19:55:06, time (data): 0.391 (0.015)] l_pix: 3.8218e-03 
2025-04-24 08:09:32,188 INFO: Validation FFHQ_val
	 # psnr: 26.2286	Best: 26.2286 @ 25500 iter
	 # niqe: 0.7533	Best: 0.7533 @ 25500 iter

2025-04-24 08:10:12,546 INFO: [train..][epoch:102, iter:  25,600, lr:(5.312e-06,)] [eta: 19:59:20, time (data): 0.394 (0.015)] l_pix: 3.7828e-03 
2025-04-24 08:10:51,669 INFO: [train..][epoch:102, iter:  25,700, lr:(5.081e-06,)] [eta: 19:56:51, time (data): 0.392 (0.015)] l_pix: 3.6678e-03 
2025-04-24 08:11:31,821 INFO: [train..][epoch:103, iter:  25,800, lr:(4.856e-06,)] [eta: 19:54:29, time (data): 0.406 (0.030)] l_pix: 3.7091e-03 
2025-04-24 08:12:10,777 INFO: [train..][epoch:103, iter:  25,900, lr:(4.636e-06,)] [eta: 19:52:01, time (data): 0.396 (0.021)] l_pix: 3.8680e-03 
2025-04-24 08:12:50,029 INFO: [train..][epoch:103, iter:  26,000, lr:(4.421e-06,)] [eta: 19:49:36, time (data): 0.393 (0.015)] l_pix: 3.6501e-03 
2025-04-24 08:14:10,135 INFO: Validation FFHQ_val
	 # psnr: 26.2301	Best: 26.2301 @ 26000 iter
	 # niqe: 0.7533	Best: 0.7533 @ 26000 iter

2025-04-24 08:14:50,526 INFO: [train..][epoch:104, iter:  26,100, lr:(4.210e-06,)] [eta: 19:53:37, time (data): 0.399 (0.021)] l_pix: 4.1855e-03 
2025-04-24 08:15:29,602 INFO: [train..][epoch:104, iter:  26,200, lr:(4.005e-06,)] [eta: 19:51:11, time (data): 0.390 (0.014)] l_pix: 4.4655e-03 
2025-04-24 08:16:09,746 INFO: [train..][epoch:105, iter:  26,300, lr:(3.805e-06,)] [eta: 19:48:50, time (data): 0.397 (0.021)] l_pix: 3.5859e-03 
2025-04-24 08:16:48,769 INFO: [train..][epoch:105, iter:  26,400, lr:(3.610e-06,)] [eta: 19:46:25, time (data): 0.390 (0.015)] l_pix: 4.2541e-03 
2025-04-24 08:17:27,999 INFO: [train..][epoch:105, iter:  26,500, lr:(3.420e-06,)] [eta: 19:44:02, time (data): 0.391 (0.015)] l_pix: 4.6696e-03 
2025-04-24 08:18:48,171 INFO: Validation FFHQ_val
	 # psnr: 26.2286	Best: 26.2301 @ 26000 iter
	 # niqe: 0.7533	Best: 0.7533 @ 26500 iter

2025-04-24 08:19:28,208 INFO: [train..][epoch:106, iter:  26,600, lr:(3.235e-06,)] [eta: 19:47:55, time (data): 0.389 (0.014)] l_pix: 4.2563e-03 
2025-04-24 08:20:07,501 INFO: [train..][epoch:106, iter:  26,700, lr:(3.055e-06,)] [eta: 19:45:32, time (data): 0.391 (0.014)] l_pix: 4.0148e-03 
2025-04-24 08:20:47,674 INFO: [train..][epoch:107, iter:  26,800, lr:(2.880e-06,)] [eta: 19:43:14, time (data): 0.408 (0.031)] l_pix: 3.1998e-03 
2025-04-24 08:21:26,641 INFO: [train..][epoch:107, iter:  26,900, lr:(2.711e-06,)] [eta: 19:40:51, time (data): 0.397 (0.021)] l_pix: 3.4730e-03 
2025-04-24 08:22:05,918 INFO: [train..][epoch:107, iter:  27,000, lr:(2.546e-06,)] [eta: 19:38:30, time (data): 0.393 (0.015)] l_pix: 4.1801e-03 
2025-04-24 08:23:26,073 INFO: Validation FFHQ_val
	 # psnr: 26.2295	Best: 26.2301 @ 26000 iter
	 # niqe: 0.7533	Best: 0.7533 @ 27000 iter

2025-04-24 08:24:06,610 INFO: [train..][epoch:108, iter:  27,100, lr:(2.387e-06,)] [eta: 19:42:19, time (data): 0.400 (0.022)] l_pix: 3.2464e-03 
2025-04-24 08:24:45,793 INFO: [train..][epoch:108, iter:  27,200, lr:(2.233e-06,)] [eta: 19:39:58, time (data): 0.393 (0.015)] l_pix: 3.7856e-03 
2025-04-24 08:25:26,188 INFO: [train..][epoch:109, iter:  27,300, lr:(2.085e-06,)] [eta: 19:37:43, time (data): 0.399 (0.022)] l_pix: 3.6415e-03 
2025-04-24 08:26:05,483 INFO: [train..][epoch:109, iter:  27,400, lr:(1.941e-06,)] [eta: 19:35:23, time (data): 0.392 (0.015)] l_pix: 3.4942e-03 
2025-04-24 08:26:44,675 INFO: [train..][epoch:109, iter:  27,500, lr:(1.803e-06,)] [eta: 19:33:04, time (data): 0.392 (0.015)] l_pix: 3.4947e-03 
2025-04-24 08:28:05,218 INFO: Validation FFHQ_val
	 # psnr: 26.2274	Best: 26.2301 @ 26000 iter
	 # niqe: 0.7533	Best: 0.7533 @ 27000 iter

2025-04-24 08:28:45,196 INFO: [train..][epoch:110, iter:  27,600, lr:(1.671e-06,)] [eta: 19:36:46, time (data): 0.388 (0.014)] l_pix: 3.5353e-03 
2025-04-24 08:29:24,353 INFO: [train..][epoch:110, iter:  27,700, lr:(1.543e-06,)] [eta: 19:34:27, time (data): 0.390 (0.015)] l_pix: 3.5279e-03 
2025-04-24 08:30:04,430 INFO: [train..][epoch:111, iter:  27,800, lr:(1.421e-06,)] [eta: 19:32:12, time (data): 0.409 (0.032)] l_pix: 3.0837e-03 
2025-04-24 08:30:43,694 INFO: [train..][epoch:111, iter:  27,900, lr:(1.304e-06,)] [eta: 19:29:55, time (data): 0.399 (0.022)] l_pix: 3.5768e-03 
2025-04-24 08:31:22,617 INFO: [train..][epoch:111, iter:  28,000, lr:(1.193e-06,)] [eta: 19:27:36, time (data): 0.390 (0.015)] l_pix: 4.0165e-03 
2025-04-24 08:32:42,525 INFO: Validation FFHQ_val
	 # psnr: 26.2295	Best: 26.2301 @ 26000 iter
	 # niqe: 0.7533	Best: 0.7533 @ 28000 iter

2025-04-24 08:33:22,884 INFO: [train..][epoch:112, iter:  28,100, lr:(1.086e-06,)] [eta: 19:31:11, time (data): 0.398 (0.022)] l_pix: 4.3540e-03 
2025-04-24 08:34:01,972 INFO: [train..][epoch:112, iter:  28,200, lr:(9.857e-07,)] [eta: 19:28:54, time (data): 0.391 (0.014)] l_pix: 3.4742e-03 
2025-04-24 08:34:42,212 INFO: [train..][epoch:113, iter:  28,300, lr:(8.904e-07,)] [eta: 19:26:41, time (data): 0.398 (0.022)] l_pix: 3.4749e-03 
2025-04-24 08:35:21,290 INFO: [train..][epoch:113, iter:  28,400, lr:(8.004e-07,)] [eta: 19:24:25, time (data): 0.390 (0.015)] l_pix: 3.2630e-03 
2025-04-24 08:36:00,368 INFO: [train..][epoch:113, iter:  28,500, lr:(7.158e-07,)] [eta: 19:22:09, time (data): 0.390 (0.015)] l_pix: 3.5962e-03 
2025-04-24 08:37:20,261 INFO: Validation FFHQ_val
	 # psnr: 26.2267	Best: 26.2301 @ 26000 iter
	 # niqe: 0.7533	Best: 0.7533 @ 28000 iter

2025-04-24 08:38:00,405 INFO: [train..][epoch:114, iter:  28,600, lr:(6.366e-07,)] [eta: 19:25:38, time (data): 0.391 (0.014)] l_pix: 3.8387e-03 
2025-04-24 08:38:39,426 INFO: [train..][epoch:114, iter:  28,700, lr:(5.629e-07,)] [eta: 19:23:21, time (data): 0.391 (0.014)] l_pix: 3.5519e-03 
2025-04-24 08:39:19,700 INFO: [train..][epoch:115, iter:  28,800, lr:(4.945e-07,)] [eta: 19:21:11, time (data): 0.411 (0.034)] l_pix: 4.7314e-03 
2025-04-24 08:39:58,806 INFO: [train..][epoch:115, iter:  28,900, lr:(4.316e-07,)] [eta: 19:18:57, time (data): 0.398 (0.022)] l_pix: 3.9541e-03 
2025-04-24 08:40:37,976 INFO: [train..][epoch:115, iter:  29,000, lr:(3.742e-07,)] [eta: 19:16:43, time (data): 0.393 (0.015)] l_pix: 3.9404e-03 
2025-04-24 08:41:57,717 INFO: Validation FFHQ_val
	 # psnr: 26.2279	Best: 26.2301 @ 26000 iter
	 # niqe: 0.7533	Best: 0.7533 @ 28000 iter

2025-04-24 08:42:37,902 INFO: [train..][epoch:116, iter:  29,100, lr:(3.222e-07,)] [eta: 19:20:06, time (data): 0.399 (0.021)] l_pix: 3.6493e-03 
2025-04-24 08:43:17,071 INFO: [train..][epoch:116, iter:  29,200, lr:(2.756e-07,)] [eta: 19:17:52, time (data): 0.392 (0.015)] l_pix: 4.2151e-03 
2025-04-24 08:43:57,314 INFO: [train..][epoch:117, iter:  29,300, lr:(2.345e-07,)] [eta: 19:15:43, time (data): 0.399 (0.022)] l_pix: 3.5239e-03 
2025-04-24 08:44:36,672 INFO: [train..][epoch:117, iter:  29,400, lr:(1.989e-07,)] [eta: 19:13:32, time (data): 0.392 (0.015)] l_pix: 3.6590e-03 
2025-04-24 08:45:15,938 INFO: [train..][epoch:117, iter:  29,500, lr:(1.687e-07,)] [eta: 19:11:20, time (data): 0.393 (0.015)] l_pix: 3.1865e-03 
2025-04-24 08:46:35,967 INFO: Validation FFHQ_val
	 # psnr: 26.2325	Best: 26.2325 @ 29500 iter
	 # niqe: 0.7533	Best: 0.7533 @ 29500 iter

2025-04-24 08:47:16,186 INFO: [train..][epoch:118, iter:  29,600, lr:(1.440e-07,)] [eta: 19:14:39, time (data): 0.390 (0.014)] l_pix: 4.0057e-03 
2025-04-24 08:47:55,492 INFO: [train..][epoch:118, iter:  29,700, lr:(1.248e-07,)] [eta: 19:12:27, time (data): 0.392 (0.015)] l_pix: 3.3383e-03 
2025-04-24 08:48:35,724 INFO: [train..][epoch:119, iter:  29,800, lr:(1.111e-07,)] [eta: 19:10:20, time (data): 0.414 (0.036)] l_pix: 3.8343e-03 
2025-04-24 08:49:14,825 INFO: [train..][epoch:119, iter:  29,900, lr:(1.028e-07,)] [eta: 19:08:09, time (data): 0.399 (0.022)] l_pix: 5.0648e-03 
2025-04-24 08:49:53,940 INFO: [train..][epoch:119, iter:  30,000, lr:(1.000e-07,)] [eta: 19:05:59, time (data): 0.391 (0.015)] l_pix: 3.8100e-03 
2025-04-24 08:49:53,941 INFO: Saving models and training states.
2025-04-24 08:51:18,962 INFO: Validation FFHQ_val
	 # psnr: 26.2347	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7534	Best: 0.7534 @ 30000 iter

2025-04-24 08:51:59,440 INFO: [train..][epoch:120, iter:  30,100, lr:(1.000e-04,)] [eta: 19:09:33, time (data): 0.400 (0.022)] l_pix: 4.3623e-03 
2025-04-24 08:52:38,566 INFO: [train..][epoch:120, iter:  30,200, lr:(9.999e-05,)] [eta: 19:07:23, time (data): 0.390 (0.014)] l_pix: 4.0042e-03 
2025-04-24 08:53:18,830 INFO: [train..][epoch:121, iter:  30,300, lr:(9.998e-05,)] [eta: 19:05:17, time (data): 0.398 (0.022)] l_pix: 4.4090e-03 
2025-04-24 08:53:58,140 INFO: [train..][epoch:121, iter:  30,400, lr:(9.996e-05,)] [eta: 19:03:09, time (data): 0.393 (0.015)] l_pix: 4.1343e-03 
2025-04-24 08:54:37,216 INFO: [train..][epoch:121, iter:  30,500, lr:(9.993e-05,)] [eta: 19:01:00, time (data): 0.392 (0.015)] l_pix: 5.1120e-03 
2025-04-24 08:56:02,447 INFO: Validation FFHQ_val
	 # psnr: 26.2172	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7533	Best: 0.7534 @ 30000 iter

2025-04-24 08:56:42,802 INFO: [train..][epoch:122, iter:  30,600, lr:(9.990e-05,)] [eta: 19:04:29, time (data): 0.392 (0.015)] l_pix: 4.2920e-03 
2025-04-24 08:57:21,923 INFO: [train..][epoch:122, iter:  30,700, lr:(9.987e-05,)] [eta: 19:02:20, time (data): 0.391 (0.015)] l_pix: 3.3678e-03 
2025-04-24 08:58:02,179 INFO: [train..][epoch:123, iter:  30,800, lr:(9.983e-05,)] [eta: 19:00:16, time (data): 0.393 (0.015)] l_pix: 3.9578e-03 
2025-04-24 08:58:41,528 INFO: [train..][epoch:123, iter:  30,900, lr:(9.978e-05,)] [eta: 18:58:09, time (data): 0.393 (0.015)] l_pix: 3.2569e-03 
2025-04-24 08:59:20,657 INFO: [train..][epoch:123, iter:  31,000, lr:(9.973e-05,)] [eta: 18:56:02, time (data): 0.390 (0.015)] l_pix: 3.5963e-03 
2025-04-24 09:00:45,732 INFO: Validation FFHQ_val
	 # psnr: 26.1983	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7532	Best: 0.7534 @ 30000 iter

2025-04-24 09:01:26,041 INFO: [train..][epoch:124, iter:  31,100, lr:(9.967e-05,)] [eta: 18:59:25, time (data): 0.399 (0.022)] l_pix: 4.6599e-03 
2025-04-24 09:02:05,064 INFO: [train..][epoch:124, iter:  31,200, lr:(9.961e-05,)] [eta: 18:57:17, time (data): 0.390 (0.014)] l_pix: 3.9295e-03 
2025-04-24 09:02:45,273 INFO: [train..][epoch:125, iter:  31,300, lr:(9.954e-05,)] [eta: 18:55:14, time (data): 0.398 (0.022)] l_pix: 3.9049e-03 
2025-04-24 09:03:24,459 INFO: [train..][epoch:125, iter:  31,400, lr:(9.946e-05,)] [eta: 18:53:08, time (data): 0.392 (0.015)] l_pix: 3.6938e-03 
2025-04-24 09:04:03,559 INFO: [train..][epoch:125, iter:  31,500, lr:(9.939e-05,)] [eta: 18:51:02, time (data): 0.391 (0.015)] l_pix: 4.2404e-03 
2025-04-24 09:05:28,582 INFO: Validation FFHQ_val
	 # psnr: 26.1976	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7532	Best: 0.7534 @ 30000 iter

2025-04-24 09:06:08,809 INFO: [train..][epoch:126, iter:  31,600, lr:(9.930e-05,)] [eta: 18:54:20, time (data): 0.393 (0.015)] l_pix: 4.1616e-03 
2025-04-24 09:06:48,187 INFO: [train..][epoch:126, iter:  31,700, lr:(9.921e-05,)] [eta: 18:52:15, time (data): 0.393 (0.015)] l_pix: 4.0478e-03 
2025-04-24 09:07:28,442 INFO: [train..][epoch:127, iter:  31,800, lr:(9.912e-05,)] [eta: 18:50:13, time (data): 0.392 (0.015)] l_pix: 3.0138e-03 
2025-04-24 09:08:07,668 INFO: [train..][epoch:127, iter:  31,900, lr:(9.902e-05,)] [eta: 18:48:09, time (data): 0.392 (0.015)] l_pix: 3.8151e-03 
2025-04-24 09:08:46,727 INFO: [train..][epoch:127, iter:  32,000, lr:(9.891e-05,)] [eta: 18:46:04, time (data): 0.388 (0.014)] l_pix: 3.4895e-03 
2025-04-24 09:10:09,386 INFO: Validation FFHQ_val
	 # psnr: 26.2043	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7533	Best: 0.7534 @ 30000 iter

2025-04-24 09:10:49,566 INFO: [train..][epoch:128, iter:  32,100, lr:(9.880e-05,)] [eta: 18:49:08, time (data): 0.398 (0.022)] l_pix: 3.0587e-03 
2025-04-24 09:11:28,544 INFO: [train..][epoch:128, iter:  32,200, lr:(9.868e-05,)] [eta: 18:47:03, time (data): 0.391 (0.015)] l_pix: 4.2675e-03 
2025-04-24 09:12:08,853 INFO: [train..][epoch:129, iter:  32,300, lr:(9.856e-05,)] [eta: 18:45:03, time (data): 0.400 (0.023)] l_pix: 3.7529e-03 
2025-04-24 09:12:47,988 INFO: [train..][epoch:129, iter:  32,400, lr:(9.843e-05,)] [eta: 18:43:00, time (data): 0.389 (0.015)] l_pix: 3.7605e-03 
2025-04-24 09:13:27,207 INFO: [train..][epoch:129, iter:  32,500, lr:(9.830e-05,)] [eta: 18:40:57, time (data): 0.391 (0.015)] l_pix: 3.6382e-03 
2025-04-24 09:14:48,016 INFO: Validation FFHQ_val
	 # psnr: 26.2023	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7534	Best: 0.7534 @ 30000 iter

2025-04-24 09:15:28,261 INFO: [train..][epoch:130, iter:  32,600, lr:(9.816e-05,)] [eta: 18:43:50, time (data): 0.392 (0.015)] l_pix: 3.3667e-03 
2025-04-24 09:16:07,368 INFO: [train..][epoch:130, iter:  32,700, lr:(9.802e-05,)] [eta: 18:41:46, time (data): 0.391 (0.015)] l_pix: 3.4235e-03 
2025-04-24 09:16:47,474 INFO: [train..][epoch:131, iter:  32,800, lr:(9.787e-05,)] [eta: 18:39:47, time (data): 0.390 (0.015)] l_pix: 5.4916e-03 
2025-04-24 09:17:26,734 INFO: [train..][epoch:131, iter:  32,900, lr:(9.772e-05,)] [eta: 18:37:46, time (data): 0.392 (0.015)] l_pix: 3.3092e-03 
2025-04-24 09:18:05,711 INFO: [train..][epoch:131, iter:  33,000, lr:(9.756e-05,)] [eta: 18:35:43, time (data): 0.390 (0.014)] l_pix: 3.7975e-03 
2025-04-24 09:19:26,626 INFO: Validation FFHQ_val
	 # psnr: 26.2140	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7535	Best: 0.7535 @ 33000 iter

2025-04-24 09:20:06,953 INFO: [train..][epoch:132, iter:  33,100, lr:(9.739e-05,)] [eta: 18:38:32, time (data): 0.400 (0.023)] l_pix: 2.7313e-03 
2025-04-24 09:20:46,258 INFO: [train..][epoch:132, iter:  33,200, lr:(9.722e-05,)] [eta: 18:36:31, time (data): 0.393 (0.015)] l_pix: 4.5920e-03 
2025-04-24 09:21:26,436 INFO: [train..][epoch:133, iter:  33,300, lr:(9.705e-05,)] [eta: 18:34:34, time (data): 0.399 (0.023)] l_pix: 3.4831e-03 
2025-04-24 09:22:05,634 INFO: [train..][epoch:133, iter:  33,400, lr:(9.687e-05,)] [eta: 18:32:33, time (data): 0.393 (0.015)] l_pix: 3.7168e-03 
2025-04-24 09:22:44,732 INFO: [train..][epoch:133, iter:  33,500, lr:(9.668e-05,)] [eta: 18:30:33, time (data): 0.391 (0.015)] l_pix: 3.9749e-03 
2025-04-24 09:24:05,885 INFO: Validation FFHQ_val
	 # psnr: 26.2181	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7536	Best: 0.7536 @ 33500 iter

2025-04-24 09:24:46,249 INFO: [train..][epoch:134, iter:  33,600, lr:(9.649e-05,)] [eta: 18:33:18, time (data): 0.393 (0.014)] l_pix: 3.8722e-03 
2025-04-24 09:25:25,479 INFO: [train..][epoch:134, iter:  33,700, lr:(9.630e-05,)] [eta: 18:31:18, time (data): 0.392 (0.015)] l_pix: 2.9911e-03 
2025-04-24 09:26:05,823 INFO: [train..][epoch:135, iter:  33,800, lr:(9.610e-05,)] [eta: 18:29:23, time (data): 0.392 (0.015)] l_pix: 3.3255e-03 
2025-04-24 09:26:44,896 INFO: [train..][epoch:135, iter:  33,900, lr:(9.589e-05,)] [eta: 18:27:23, time (data): 0.391 (0.015)] l_pix: 3.8085e-03 
2025-04-24 09:27:23,799 INFO: [train..][epoch:135, iter:  34,000, lr:(9.568e-05,)] [eta: 18:25:23, time (data): 0.390 (0.014)] l_pix: 4.8041e-03 
2025-04-24 09:28:45,778 INFO: Validation FFHQ_val
	 # psnr: 26.2289	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7538	Best: 0.7538 @ 34000 iter

2025-04-24 09:29:26,084 INFO: [train..][epoch:136, iter:  34,100, lr:(9.547e-05,)] [eta: 18:28:07, time (data): 0.400 (0.023)] l_pix: 3.2306e-03 
2025-04-24 09:30:05,492 INFO: [train..][epoch:136, iter:  34,200, lr:(9.525e-05,)] [eta: 18:26:09, time (data): 0.395 (0.014)] l_pix: 3.6928e-03 
2025-04-24 09:30:45,748 INFO: [train..][epoch:137, iter:  34,300, lr:(9.502e-05,)] [eta: 18:24:14, time (data): 0.401 (0.023)] l_pix: 3.6420e-03 
2025-04-24 09:31:24,977 INFO: [train..][epoch:137, iter:  34,400, lr:(9.479e-05,)] [eta: 18:22:16, time (data): 0.395 (0.015)] l_pix: 4.8245e-03 
2025-04-24 09:32:04,078 INFO: [train..][epoch:137, iter:  34,500, lr:(9.456e-05,)] [eta: 18:20:19, time (data): 0.392 (0.015)] l_pix: 3.1130e-03 
2025-04-24 09:33:25,952 INFO: Validation FFHQ_val
	 # psnr: 26.2303	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7539	Best: 0.7539 @ 34500 iter

2025-04-24 09:34:06,168 INFO: [train..][epoch:138, iter:  34,600, lr:(9.432e-05,)] [eta: 18:22:58, time (data): 0.392 (0.014)] l_pix: 4.3763e-03 
2025-04-24 09:34:45,350 INFO: [train..][epoch:138, iter:  34,700, lr:(9.407e-05,)] [eta: 18:21:00, time (data): 0.392 (0.015)] l_pix: 4.3266e-03 
2025-04-24 09:35:25,938 INFO: [train..][epoch:139, iter:  34,800, lr:(9.382e-05,)] [eta: 18:19:08, time (data): 0.394 (0.015)] l_pix: 3.6506e-03 
2025-04-24 09:36:05,173 INFO: [train..][epoch:139, iter:  34,900, lr:(9.357e-05,)] [eta: 18:17:11, time (data): 0.393 (0.015)] l_pix: 4.1305e-03 
2025-04-24 09:36:44,273 INFO: [train..][epoch:139, iter:  35,000, lr:(9.331e-05,)] [eta: 18:15:14, time (data): 0.390 (0.014)] l_pix: 3.9616e-03 
2025-04-24 09:36:44,275 INFO: Saving models and training states.
2025-04-24 09:38:10,379 INFO: Validation FFHQ_val
	 # psnr: 26.2335	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7540	Best: 0.7540 @ 35000 iter

2025-04-24 09:38:50,714 INFO: [train..][epoch:140, iter:  35,100, lr:(9.305e-05,)] [eta: 18:18:04, time (data): 0.401 (0.024)] l_pix: 4.3159e-03 
2025-04-24 09:39:29,772 INFO: [train..][epoch:140, iter:  35,200, lr:(9.278e-05,)] [eta: 18:16:07, time (data): 0.392 (0.014)] l_pix: 3.8357e-03 
2025-04-24 09:40:10,126 INFO: [train..][epoch:141, iter:  35,300, lr:(9.250e-05,)] [eta: 18:14:15, time (data): 0.401 (0.024)] l_pix: 3.3332e-03 
2025-04-24 09:40:49,456 INFO: [train..][epoch:141, iter:  35,400, lr:(9.223e-05,)] [eta: 18:12:20, time (data): 0.391 (0.015)] l_pix: 4.2062e-03 
2025-04-24 09:41:28,772 INFO: [train..][epoch:141, iter:  35,500, lr:(9.194e-05,)] [eta: 18:10:25, time (data): 0.393 (0.015)] l_pix: 3.2100e-03 
2025-04-24 09:42:54,591 INFO: Validation FFHQ_val
	 # psnr: 26.2324	Best: 26.2347 @ 30000 iter
	 # niqe: 0.7541	Best: 0.7541 @ 35500 iter

2025-04-24 09:43:34,866 INFO: [train..][epoch:142, iter:  35,600, lr:(9.166e-05,)] [eta: 18:13:09, time (data): 0.391 (0.015)] l_pix: 3.1154e-03 
2025-04-24 09:44:13,976 INFO: [train..][epoch:142, iter:  35,700, lr:(9.137e-05,)] [eta: 18:11:13, time (data): 0.391 (0.015)] l_pix: 4.7970e-03 
2025-04-24 09:44:54,319 INFO: [train..][epoch:143, iter:  35,800, lr:(9.107e-05,)] [eta: 18:09:22, time (data): 0.397 (0.015)] l_pix: 3.3796e-03 
2025-04-24 09:45:33,465 INFO: [train..][epoch:143, iter:  35,900, lr:(9.077e-05,)] [eta: 18:07:27, time (data): 0.393 (0.015)] l_pix: 3.2407e-03 
2025-04-24 09:46:12,722 INFO: [train..][epoch:143, iter:  36,000, lr:(9.046e-05,)] [eta: 18:05:33, time (data): 0.389 (0.014)] l_pix: 3.1681e-03 
2025-04-24 09:47:39,136 INFO: Validation FFHQ_val
	 # psnr: 26.2361	Best: 26.2361 @ 36000 iter
	 # niqe: 0.7542	Best: 0.7542 @ 36000 iter

2025-04-24 09:48:19,362 INFO: [train..][epoch:144, iter:  36,100, lr:(9.015e-05,)] [eta: 18:08:16, time (data): 0.400 (0.024)] l_pix: 3.4573e-03 
2025-04-24 09:48:58,451 INFO: [train..][epoch:144, iter:  36,200, lr:(8.984e-05,)] [eta: 18:06:21, time (data): 0.390 (0.015)] l_pix: 4.1222e-03 
2025-04-24 09:49:38,599 INFO: [train..][epoch:145, iter:  36,300, lr:(8.952e-05,)] [eta: 18:04:30, time (data): 0.400 (0.024)] l_pix: 3.5479e-03 
2025-04-24 09:50:17,712 INFO: [train..][epoch:145, iter:  36,400, lr:(8.920e-05,)] [eta: 18:02:36, time (data): 0.392 (0.015)] l_pix: 4.8769e-03 
2025-04-24 09:50:56,795 INFO: [train..][epoch:145, iter:  36,500, lr:(8.887e-05,)] [eta: 18:00:43, time (data): 0.391 (0.015)] l_pix: 3.6002e-03 
2025-04-24 09:52:24,033 INFO: Validation FFHQ_val
	 # psnr: 26.2443	Best: 26.2443 @ 36500 iter
	 # niqe: 0.7544	Best: 0.7544 @ 36500 iter

2025-04-24 09:53:04,345 INFO: [train..][epoch:146, iter:  36,600, lr:(8.854e-05,)] [eta: 18:03:24, time (data): 0.392 (0.014)] l_pix: 3.7334e-03 
2025-04-24 09:53:43,291 INFO: [train..][epoch:146, iter:  36,700, lr:(8.820e-05,)] [eta: 18:01:30, time (data): 0.390 (0.014)] l_pix: 4.0313e-03 
2025-04-24 09:54:23,357 INFO: [train..][epoch:147, iter:  36,800, lr:(8.787e-05,)] [eta: 17:59:40, time (data): 0.389 (0.015)] l_pix: 4.2964e-03 
2025-04-24 09:55:02,484 INFO: [train..][epoch:147, iter:  36,900, lr:(8.752e-05,)] [eta: 17:57:47, time (data): 0.391 (0.015)] l_pix: 2.7208e-03 
2025-04-24 09:55:41,706 INFO: [train..][epoch:147, iter:  37,000, lr:(8.717e-05,)] [eta: 17:55:55, time (data): 0.389 (0.014)] l_pix: 3.3404e-03 
2025-04-24 09:57:09,162 INFO: Validation FFHQ_val
	 # psnr: 26.2450	Best: 26.2450 @ 37000 iter
	 # niqe: 0.7545	Best: 0.7545 @ 37000 iter

2025-04-24 09:57:49,434 INFO: [train..][epoch:148, iter:  37,100, lr:(8.682e-05,)] [eta: 17:58:33, time (data): 0.401 (0.025)] l_pix: 3.9044e-03 
2025-04-24 09:58:28,615 INFO: [train..][epoch:148, iter:  37,200, lr:(8.647e-05,)] [eta: 17:56:40, time (data): 0.391 (0.015)] l_pix: 3.3483e-03 
2025-04-24 09:59:08,833 INFO: [train..][epoch:149, iter:  37,300, lr:(8.611e-05,)] [eta: 17:54:51, time (data): 0.401 (0.024)] l_pix: 4.2147e-03 
2025-04-24 09:59:47,752 INFO: [train..][epoch:149, iter:  37,400, lr:(8.574e-05,)] [eta: 17:52:59, time (data): 0.387 (0.015)] l_pix: 3.2724e-03 
2025-04-24 10:00:26,977 INFO: [train..][epoch:149, iter:  37,500, lr:(8.537e-05,)] [eta: 17:51:08, time (data): 0.392 (0.015)] l_pix: 2.7970e-03 
2025-04-24 10:01:54,266 INFO: Validation FFHQ_val
	 # psnr: 26.2495	Best: 26.2495 @ 37500 iter
	 # niqe: 0.7546	Best: 0.7546 @ 37500 iter

2025-04-24 10:02:34,662 INFO: [train..][epoch:150, iter:  37,600, lr:(8.500e-05,)] [eta: 17:53:42, time (data): 0.393 (0.015)] l_pix: 3.4710e-03 
2025-04-24 10:03:13,838 INFO: [train..][epoch:150, iter:  37,700, lr:(8.463e-05,)] [eta: 17:51:51, time (data): 0.392 (0.015)] l_pix: 3.9205e-03 
2025-04-24 10:03:53,972 INFO: [train..][epoch:151, iter:  37,800, lr:(8.425e-05,)] [eta: 17:50:02, time (data): 0.392 (0.015)] l_pix: 3.4736e-03 
2025-04-24 10:04:33,347 INFO: [train..][epoch:151, iter:  37,900, lr:(8.386e-05,)] [eta: 17:48:12, time (data): 0.394 (0.016)] l_pix: 4.7714e-03 
2025-04-24 10:05:12,580 INFO: [train..][epoch:151, iter:  38,000, lr:(8.348e-05,)] [eta: 17:46:22, time (data): 0.392 (0.015)] l_pix: 2.8961e-03 
2025-04-24 10:06:37,895 INFO: Validation FFHQ_val
	 # psnr: 26.2558	Best: 26.2558 @ 38000 iter
	 # niqe: 0.7547	Best: 0.7547 @ 38000 iter

2025-04-24 10:07:18,203 INFO: [train..][epoch:152, iter:  38,100, lr:(8.309e-05,)] [eta: 17:48:46, time (data): 0.402 (0.024)] l_pix: 4.3259e-03 
2025-04-24 10:07:57,329 INFO: [train..][epoch:152, iter:  38,200, lr:(8.269e-05,)] [eta: 17:46:56, time (data): 0.396 (0.014)] l_pix: 3.5510e-03 
2025-04-24 10:08:37,645 INFO: [train..][epoch:153, iter:  38,300, lr:(8.229e-05,)] [eta: 17:45:09, time (data): 0.402 (0.024)] l_pix: 3.3395e-03 
2025-04-24 10:09:16,976 INFO: [train..][epoch:153, iter:  38,400, lr:(8.189e-05,)] [eta: 17:43:20, time (data): 0.393 (0.015)] l_pix: 3.5054e-03 
2025-04-24 10:09:56,073 INFO: [train..][epoch:153, iter:  38,500, lr:(8.149e-05,)] [eta: 17:41:31, time (data): 0.391 (0.015)] l_pix: 3.5665e-03 
2025-04-24 10:11:20,054 INFO: Validation FFHQ_val
	 # psnr: 26.2682	Best: 26.2682 @ 38500 iter
	 # niqe: 0.7549	Best: 0.7549 @ 38500 iter

2025-04-24 10:12:00,294 INFO: [train..][epoch:154, iter:  38,600, lr:(8.108e-05,)] [eta: 17:43:47, time (data): 0.390 (0.015)] l_pix: 3.2142e-03 
2025-04-24 10:12:39,289 INFO: [train..][epoch:154, iter:  38,700, lr:(8.067e-05,)] [eta: 17:41:57, time (data): 0.390 (0.015)] l_pix: 4.8102e-03 
2025-04-24 10:13:19,531 INFO: [train..][epoch:155, iter:  38,800, lr:(8.025e-05,)] [eta: 17:40:11, time (data): 0.398 (0.016)] l_pix: 4.2168e-03 
2025-04-24 10:13:58,947 INFO: [train..][epoch:155, iter:  38,900, lr:(7.984e-05,)] [eta: 17:38:23, time (data): 0.394 (0.016)] l_pix: 4.7539e-03 
2025-04-24 10:14:38,020 INFO: [train..][epoch:155, iter:  39,000, lr:(7.941e-05,)] [eta: 17:36:34, time (data): 0.393 (0.015)] l_pix: 4.5170e-03 
2025-04-24 10:16:01,345 INFO: Validation FFHQ_val
	 # psnr: 26.2677	Best: 26.2682 @ 38500 iter
	 # niqe: 0.7550	Best: 0.7550 @ 39000 iter

2025-04-24 10:16:41,655 INFO: [train..][epoch:156, iter:  39,100, lr:(7.899e-05,)] [eta: 17:38:46, time (data): 0.402 (0.025)] l_pix: 3.3445e-03 
2025-04-24 10:17:20,942 INFO: [train..][epoch:156, iter:  39,200, lr:(7.856e-05,)] [eta: 17:36:58, time (data): 0.393 (0.015)] l_pix: 4.4969e-03 
2025-04-24 10:18:01,219 INFO: [train..][epoch:157, iter:  39,300, lr:(7.813e-05,)] [eta: 17:35:13, time (data): 0.402 (0.025)] l_pix: 4.4262e-03 
2025-04-24 10:18:40,673 INFO: [train..][epoch:157, iter:  39,400, lr:(7.770e-05,)] [eta: 17:33:26, time (data): 0.397 (0.015)] l_pix: 3.5163e-03 
2025-04-24 10:19:19,715 INFO: [train..][epoch:157, iter:  39,500, lr:(7.726e-05,)] [eta: 17:31:38, time (data): 0.391 (0.015)] l_pix: 3.9318e-03 
2025-04-24 10:20:43,164 INFO: Validation FFHQ_val
	 # psnr: 26.2687	Best: 26.2687 @ 39500 iter
	 # niqe: 0.7551	Best: 0.7551 @ 39500 iter

2025-04-24 10:21:23,354 INFO: [train..][epoch:158, iter:  39,600, lr:(7.682e-05,)] [eta: 17:33:46, time (data): 0.394 (0.014)] l_pix: 2.8590e-03 
2025-04-24 10:22:02,453 INFO: [train..][epoch:158, iter:  39,700, lr:(7.638e-05,)] [eta: 17:31:59, time (data): 0.391 (0.015)] l_pix: 4.4733e-03 
2025-04-24 10:22:42,527 INFO: [train..][epoch:159, iter:  39,800, lr:(7.593e-05,)] [eta: 17:30:14, time (data): 0.392 (0.015)] l_pix: 3.6661e-03 
2025-04-24 10:23:21,806 INFO: [train..][epoch:159, iter:  39,900, lr:(7.548e-05,)] [eta: 17:28:27, time (data): 0.393 (0.015)] l_pix: 2.5337e-03 
2025-04-24 10:24:01,035 INFO: [train..][epoch:159, iter:  40,000, lr:(7.503e-05,)] [eta: 17:26:41, time (data): 0.388 (0.013)] l_pix: 3.6841e-03 
2025-04-24 10:24:01,036 INFO: Saving models and training states.
2025-04-24 10:25:25,708 INFO: Validation FFHQ_val
	 # psnr: 26.2740	Best: 26.2740 @ 40000 iter
	 # niqe: 0.7552	Best: 0.7552 @ 40000 iter

2025-04-24 10:26:06,017 INFO: [train..][epoch:160, iter:  40,100, lr:(7.458e-05,)] [eta: 17:28:50, time (data): 0.403 (0.025)] l_pix: 3.1514e-03 
2025-04-24 10:26:45,348 INFO: [train..][epoch:160, iter:  40,200, lr:(7.412e-05,)] [eta: 17:27:04, time (data): 0.398 (0.020)] l_pix: 3.6382e-03 
2025-04-24 10:27:25,791 INFO: [train..][epoch:161, iter:  40,300, lr:(7.366e-05,)] [eta: 17:25:21, time (data): 0.404 (0.026)] l_pix: 3.0133e-03 
2025-04-24 10:28:05,039 INFO: [train..][epoch:161, iter:  40,400, lr:(7.320e-05,)] [eta: 17:23:35, time (data): 0.398 (0.021)] l_pix: 3.8238e-03 
2025-04-24 10:28:44,309 INFO: [train..][epoch:161, iter:  40,500, lr:(7.273e-05,)] [eta: 17:21:50, time (data): 0.393 (0.015)] l_pix: 3.6760e-03 
2025-04-24 10:30:08,393 INFO: Validation FFHQ_val
	 # psnr: 26.2813	Best: 26.2813 @ 40500 iter
	 # niqe: 0.7553	Best: 0.7553 @ 40500 iter

2025-04-24 10:30:48,537 INFO: [train..][epoch:162, iter:  40,600, lr:(7.226e-05,)] [eta: 17:23:53, time (data): 0.397 (0.020)] l_pix: 4.1230e-03 
2025-04-24 10:31:27,844 INFO: [train..][epoch:162, iter:  40,700, lr:(7.179e-05,)] [eta: 17:22:08, time (data): 0.393 (0.015)] l_pix: 4.0043e-03 
2025-04-24 10:32:08,126 INFO: [train..][epoch:163, iter:  40,800, lr:(7.132e-05,)] [eta: 17:20:25, time (data): 0.398 (0.021)] l_pix: 4.4092e-03 
2025-04-24 10:32:47,448 INFO: [train..][epoch:163, iter:  40,900, lr:(7.085e-05,)] [eta: 17:18:41, time (data): 0.393 (0.016)] l_pix: 3.8026e-03 
2025-04-24 10:33:26,636 INFO: [train..][epoch:163, iter:  41,000, lr:(7.037e-05,)] [eta: 17:16:56, time (data): 0.392 (0.015)] l_pix: 3.1898e-03 
2025-04-24 10:34:51,565 INFO: Validation FFHQ_val
	 # psnr: 26.2852	Best: 26.2852 @ 41000 iter
	 # niqe: 0.7554	Best: 0.7554 @ 41000 iter

2025-04-24 10:35:31,953 INFO: [train..][epoch:164, iter:  41,100, lr:(6.989e-05,)] [eta: 17:19:00, time (data): 0.392 (0.015)] l_pix: 3.5014e-03 
2025-04-24 10:36:11,232 INFO: [train..][epoch:164, iter:  41,200, lr:(6.941e-05,)] [eta: 17:17:15, time (data): 0.392 (0.015)] l_pix: 5.2655e-03 
2025-04-24 10:36:51,672 INFO: [train..][epoch:165, iter:  41,300, lr:(6.893e-05,)] [eta: 17:15:34, time (data): 0.405 (0.027)] l_pix: 3.6650e-03 
2025-04-24 10:37:30,864 INFO: [train..][epoch:165, iter:  41,400, lr:(6.844e-05,)] [eta: 17:13:49, time (data): 0.398 (0.021)] l_pix: 3.1317e-03 
2025-04-24 10:38:10,034 INFO: [train..][epoch:165, iter:  41,500, lr:(6.796e-05,)] [eta: 17:12:05, time (data): 0.391 (0.015)] l_pix: 3.1669e-03 
2025-04-24 10:39:33,580 INFO: Validation FFHQ_val
	 # psnr: 26.2892	Best: 26.2892 @ 41500 iter
	 # niqe: 0.7554	Best: 0.7554 @ 41500 iter

2025-04-24 10:40:13,767 INFO: [train..][epoch:166, iter:  41,600, lr:(6.747e-05,)] [eta: 17:14:02, time (data): 0.397 (0.020)] l_pix: 4.7795e-03 
2025-04-24 10:40:53,111 INFO: [train..][epoch:166, iter:  41,700, lr:(6.697e-05,)] [eta: 17:12:18, time (data): 0.393 (0.015)] l_pix: 3.8652e-03 
2025-04-24 10:41:33,374 INFO: [train..][epoch:167, iter:  41,800, lr:(6.648e-05,)] [eta: 17:10:37, time (data): 0.398 (0.021)] l_pix: 3.2676e-03 
2025-04-24 10:42:12,626 INFO: [train..][epoch:167, iter:  41,900, lr:(6.599e-05,)] [eta: 17:08:54, time (data): 0.392 (0.015)] l_pix: 3.9849e-03 
2025-04-24 10:42:51,879 INFO: [train..][epoch:167, iter:  42,000, lr:(6.549e-05,)] [eta: 17:07:11, time (data): 0.392 (0.015)] l_pix: 3.9449e-03 
2025-04-24 10:44:14,110 INFO: Validation FFHQ_val
	 # psnr: 26.2922	Best: 26.2922 @ 42000 iter
	 # niqe: 0.7555	Best: 0.7555 @ 42000 iter

2025-04-24 10:44:54,274 INFO: [train..][epoch:168, iter:  42,100, lr:(6.499e-05,)] [eta: 17:09:01, time (data): 0.390 (0.014)] l_pix: 3.7518e-03 
2025-04-24 10:45:33,463 INFO: [train..][epoch:168, iter:  42,200, lr:(6.449e-05,)] [eta: 17:07:18, time (data): 0.391 (0.015)] l_pix: 3.7619e-03 
2025-04-24 10:46:13,850 INFO: [train..][epoch:169, iter:  42,300, lr:(6.399e-05,)] [eta: 17:05:38, time (data): 0.405 (0.027)] l_pix: 3.0903e-03 
2025-04-24 10:46:53,157 INFO: [train..][epoch:169, iter:  42,400, lr:(6.349e-05,)] [eta: 17:03:56, time (data): 0.399 (0.021)] l_pix: 3.4477e-03 
2025-04-24 10:47:32,426 INFO: [train..][epoch:169, iter:  42,500, lr:(6.298e-05,)] [eta: 17:02:13, time (data): 0.393 (0.015)] l_pix: 3.2270e-03 
2025-04-24 10:48:54,968 INFO: Validation FFHQ_val
	 # psnr: 26.2979	Best: 26.2979 @ 42500 iter
	 # niqe: 0.7556	Best: 0.7556 @ 42500 iter

2025-04-24 10:49:35,209 INFO: [train..][epoch:170, iter:  42,600, lr:(6.248e-05,)] [eta: 17:04:02, time (data): 0.398 (0.021)] l_pix: 2.8607e-03 
2025-04-24 10:50:14,303 INFO: [train..][epoch:170, iter:  42,700, lr:(6.197e-05,)] [eta: 17:02:19, time (data): 0.391 (0.015)] l_pix: 4.5011e-03 
2025-04-24 10:50:54,538 INFO: [train..][epoch:171, iter:  42,800, lr:(6.146e-05,)] [eta: 17:00:40, time (data): 0.397 (0.021)] l_pix: 4.1346e-03 
2025-04-24 10:51:33,645 INFO: [train..][epoch:171, iter:  42,900, lr:(6.095e-05,)] [eta: 16:58:58, time (data): 0.392 (0.015)] l_pix: 3.3157e-03 
2025-04-24 10:52:12,881 INFO: [train..][epoch:171, iter:  43,000, lr:(6.044e-05,)] [eta: 16:57:16, time (data): 0.392 (0.015)] l_pix: 3.0965e-03 
2025-04-24 10:53:36,085 INFO: Validation FFHQ_val
	 # psnr: 26.3003	Best: 26.3003 @ 43000 iter
	 # niqe: 0.7557	Best: 0.7557 @ 43000 iter

2025-04-24 10:54:16,359 INFO: [train..][epoch:172, iter:  43,100, lr:(5.993e-05,)] [eta: 16:59:04, time (data): 0.391 (0.014)] l_pix: 3.7412e-03 
2025-04-24 10:54:55,492 INFO: [train..][epoch:172, iter:  43,200, lr:(5.941e-05,)] [eta: 16:57:22, time (data): 0.391 (0.014)] l_pix: 3.5152e-03 
2025-04-24 10:55:35,745 INFO: [train..][epoch:173, iter:  43,300, lr:(5.890e-05,)] [eta: 16:55:43, time (data): 0.404 (0.027)] l_pix: 4.5530e-03 
2025-04-24 10:56:14,767 INFO: [train..][epoch:173, iter:  43,400, lr:(5.839e-05,)] [eta: 16:54:02, time (data): 0.397 (0.020)] l_pix: 4.6754e-03 
2025-04-24 10:56:53,843 INFO: [train..][epoch:173, iter:  43,500, lr:(5.787e-05,)] [eta: 16:52:20, time (data): 0.390 (0.015)] l_pix: 4.5392e-03 
2025-04-24 10:58:17,203 INFO: Validation FFHQ_val
	 # psnr: 26.2981	Best: 26.3003 @ 43000 iter
	 # niqe: 0.7557	Best: 0.7557 @ 43500 iter

2025-04-24 10:58:57,487 INFO: [train..][epoch:174, iter:  43,600, lr:(5.735e-05,)] [eta: 16:54:06, time (data): 0.397 (0.021)] l_pix: 3.3811e-03 
2025-04-24 10:59:36,845 INFO: [train..][epoch:174, iter:  43,700, lr:(5.683e-05,)] [eta: 16:52:25, time (data): 0.393 (0.015)] l_pix: 4.6714e-03 
2025-04-24 11:00:17,157 INFO: [train..][epoch:175, iter:  43,800, lr:(5.632e-05,)] [eta: 16:50:47, time (data): 0.398 (0.021)] l_pix: 3.2063e-03 
2025-04-24 11:00:56,258 INFO: [train..][epoch:175, iter:  43,900, lr:(5.580e-05,)] [eta: 16:49:07, time (data): 0.391 (0.015)] l_pix: 3.1183e-03 
2025-04-24 11:01:35,291 INFO: [train..][epoch:175, iter:  44,000, lr:(5.528e-05,)] [eta: 16:47:26, time (data): 0.391 (0.015)] l_pix: 3.8838e-03 
2025-04-24 11:02:58,628 INFO: Validation FFHQ_val
	 # psnr: 26.2992	Best: 26.3003 @ 43000 iter
	 # niqe: 0.7558	Best: 0.7558 @ 44000 iter

2025-04-24 11:03:38,844 INFO: [train..][epoch:176, iter:  44,100, lr:(5.476e-05,)] [eta: 16:49:09, time (data): 0.391 (0.015)] l_pix: 3.4020e-03 
2025-04-24 11:04:17,923 INFO: [train..][epoch:176, iter:  44,200, lr:(5.423e-05,)] [eta: 16:47:29, time (data): 0.391 (0.015)] l_pix: 3.4480e-03 
2025-04-24 11:04:58,308 INFO: [train..][epoch:177, iter:  44,300, lr:(5.371e-05,)] [eta: 16:45:51, time (data): 0.407 (0.029)] l_pix: 3.5609e-03 
2025-04-24 11:05:37,386 INFO: [train..][epoch:177, iter:  44,400, lr:(5.319e-05,)] [eta: 16:44:12, time (data): 0.398 (0.021)] l_pix: 4.1340e-03 
2025-04-24 11:06:16,535 INFO: [train..][epoch:177, iter:  44,500, lr:(5.267e-05,)] [eta: 16:42:32, time (data): 0.391 (0.015)] l_pix: 4.6620e-03 
2025-04-24 11:07:39,367 INFO: Validation FFHQ_val
	 # psnr: 26.3000	Best: 26.3003 @ 43000 iter
	 # niqe: 0.7559	Best: 0.7559 @ 44500 iter

2025-04-24 11:08:19,565 INFO: [train..][epoch:178, iter:  44,600, lr:(5.215e-05,)] [eta: 16:44:11, time (data): 0.397 (0.021)] l_pix: 4.8183e-03 
2025-04-24 11:08:58,657 INFO: [train..][epoch:178, iter:  44,700, lr:(5.162e-05,)] [eta: 16:42:31, time (data): 0.391 (0.015)] l_pix: 3.4139e-03 
2025-04-24 11:09:39,127 INFO: [train..][epoch:179, iter:  44,800, lr:(5.110e-05,)] [eta: 16:40:55, time (data): 0.399 (0.021)] l_pix: 3.5530e-03 
2025-04-24 11:10:18,159 INFO: [train..][epoch:179, iter:  44,900, lr:(5.058e-05,)] [eta: 16:39:16, time (data): 0.390 (0.015)] l_pix: 3.2260e-03 
2025-04-24 11:10:57,330 INFO: [train..][epoch:179, iter:  45,000, lr:(5.006e-05,)] [eta: 16:37:37, time (data): 0.391 (0.015)] l_pix: 4.4150e-03 
2025-04-24 11:10:57,331 INFO: Saving models and training states.
2025-04-24 11:12:23,081 INFO: Validation FFHQ_val
	 # psnr: 26.3005	Best: 26.3005 @ 45000 iter
	 # niqe: 0.7559	Best: 0.7559 @ 45000 iter

2025-04-24 11:13:03,304 INFO: [train..][epoch:180, iter:  45,100, lr:(4.953e-05,)] [eta: 16:39:20, time (data): 0.392 (0.014)] l_pix: 3.5963e-03 
2025-04-24 11:13:42,561 INFO: [train..][epoch:180, iter:  45,200, lr:(4.901e-05,)] [eta: 16:37:42, time (data): 0.392 (0.014)] l_pix: 3.0502e-03 
2025-04-24 11:14:22,965 INFO: [train..][epoch:181, iter:  45,300, lr:(4.849e-05,)] [eta: 16:36:06, time (data): 0.408 (0.030)] l_pix: 3.7237e-03 
2025-04-24 11:15:02,033 INFO: [train..][epoch:181, iter:  45,400, lr:(4.796e-05,)] [eta: 16:34:27, time (data): 0.398 (0.021)] l_pix: 3.7033e-03 
2025-04-24 11:15:41,249 INFO: [train..][epoch:181, iter:  45,500, lr:(4.744e-05,)] [eta: 16:32:49, time (data): 0.393 (0.015)] l_pix: 3.0488e-03 
2025-04-24 11:17:07,325 INFO: Validation FFHQ_val
	 # psnr: 26.3038	Best: 26.3038 @ 45500 iter
	 # niqe: 0.7560	Best: 0.7560 @ 45500 iter

2025-04-24 11:17:47,666 INFO: [train..][epoch:182, iter:  45,600, lr:(4.692e-05,)] [eta: 16:34:31, time (data): 0.399 (0.021)] l_pix: 3.5970e-03 
2025-04-24 11:18:26,804 INFO: [train..][epoch:182, iter:  45,700, lr:(4.640e-05,)] [eta: 16:32:53, time (data): 0.392 (0.015)] l_pix: 3.6663e-03 
2025-04-24 11:19:07,030 INFO: [train..][epoch:183, iter:  45,800, lr:(4.588e-05,)] [eta: 16:31:17, time (data): 0.398 (0.021)] l_pix: 3.4572e-03 
2025-04-24 11:19:46,324 INFO: [train..][epoch:183, iter:  45,900, lr:(4.535e-05,)] [eta: 16:29:40, time (data): 0.393 (0.015)] l_pix: 3.7736e-03 
2025-04-24 11:20:25,363 INFO: [train..][epoch:183, iter:  46,000, lr:(4.483e-05,)] [eta: 16:28:02, time (data): 0.391 (0.015)] l_pix: 4.3160e-03 
2025-04-24 11:21:50,644 INFO: Validation FFHQ_val
	 # psnr: 26.3074	Best: 26.3074 @ 46000 iter
	 # niqe: 0.7561	Best: 0.7561 @ 46000 iter

2025-04-24 11:22:30,927 INFO: [train..][epoch:184, iter:  46,100, lr:(4.431e-05,)] [eta: 16:29:40, time (data): 0.392 (0.014)] l_pix: 4.1054e-03 
2025-04-24 11:23:10,094 INFO: [train..][epoch:184, iter:  46,200, lr:(4.379e-05,)] [eta: 16:28:02, time (data): 0.392 (0.015)] l_pix: 4.6529e-03 
2025-04-24 11:23:50,341 INFO: [train..][epoch:185, iter:  46,300, lr:(4.328e-05,)] [eta: 16:26:27, time (data): 0.408 (0.031)] l_pix: 3.8595e-03 
2025-04-24 11:24:29,596 INFO: [train..][epoch:185, iter:  46,400, lr:(4.276e-05,)] [eta: 16:24:50, time (data): 0.399 (0.022)] l_pix: 4.7292e-03 
2025-04-24 11:25:08,535 INFO: [train..][epoch:185, iter:  46,500, lr:(4.224e-05,)] [eta: 16:23:13, time (data): 0.389 (0.015)] l_pix: 4.7507e-03 
2025-04-24 11:26:33,047 INFO: Validation FFHQ_val
	 # psnr: 26.3114	Best: 26.3114 @ 46500 iter
	 # niqe: 0.7561	Best: 0.7561 @ 46500 iter

2025-04-24 11:27:13,433 INFO: [train..][epoch:186, iter:  46,600, lr:(4.173e-05,)] [eta: 16:24:47, time (data): 0.398 (0.022)] l_pix: 4.0974e-03 
2025-04-24 11:27:52,638 INFO: [train..][epoch:186, iter:  46,700, lr:(4.121e-05,)] [eta: 16:23:10, time (data): 0.391 (0.014)] l_pix: 2.8206e-03 
2025-04-24 11:28:32,810 INFO: [train..][epoch:187, iter:  46,800, lr:(4.070e-05,)] [eta: 16:21:35, time (data): 0.397 (0.021)] l_pix: 3.4977e-03 
2025-04-24 11:29:12,194 INFO: [train..][epoch:187, iter:  46,900, lr:(4.018e-05,)] [eta: 16:20:00, time (data): 0.394 (0.015)] l_pix: 4.1448e-03 
2025-04-24 11:29:51,239 INFO: [train..][epoch:187, iter:  47,000, lr:(3.967e-05,)] [eta: 16:18:23, time (data): 0.392 (0.015)] l_pix: 3.0295e-03 
2025-04-24 11:31:14,549 INFO: Validation FFHQ_val
	 # psnr: 26.3113	Best: 26.3114 @ 46500 iter
	 # niqe: 0.7562	Best: 0.7562 @ 47000 iter

2025-04-24 11:31:54,741 INFO: [train..][epoch:188, iter:  47,100, lr:(3.916e-05,)] [eta: 16:19:51, time (data): 0.390 (0.014)] l_pix: 5.6153e-03 
2025-04-24 11:32:33,958 INFO: [train..][epoch:188, iter:  47,200, lr:(3.865e-05,)] [eta: 16:18:15, time (data): 0.391 (0.014)] l_pix: 3.5876e-03 
2025-04-24 11:33:14,352 INFO: [train..][epoch:189, iter:  47,300, lr:(3.814e-05,)] [eta: 16:16:42, time (data): 0.409 (0.032)] l_pix: 3.8073e-03 
2025-04-24 11:33:53,481 INFO: [train..][epoch:189, iter:  47,400, lr:(3.763e-05,)] [eta: 16:15:06, time (data): 0.398 (0.022)] l_pix: 3.3697e-03 
2025-04-24 11:34:32,566 INFO: [train..][epoch:189, iter:  47,500, lr:(3.713e-05,)] [eta: 16:13:30, time (data): 0.391 (0.015)] l_pix: 3.5221e-03 
2025-04-24 11:35:56,041 INFO: Validation FFHQ_val
	 # psnr: 26.3155	Best: 26.3155 @ 47500 iter
	 # niqe: 0.7562	Best: 0.7562 @ 47500 iter

2025-04-24 11:36:36,415 INFO: [train..][epoch:190, iter:  47,600, lr:(3.662e-05,)] [eta: 16:14:57, time (data): 0.399 (0.022)] l_pix: 3.0222e-03 
2025-04-24 11:37:15,465 INFO: [train..][epoch:190, iter:  47,700, lr:(3.612e-05,)] [eta: 16:13:21, time (data): 0.390 (0.014)] l_pix: 3.8732e-03 
2025-04-24 11:37:55,571 INFO: [train..][epoch:191, iter:  47,800, lr:(3.562e-05,)] [eta: 16:11:48, time (data): 0.397 (0.021)] l_pix: 3.8668e-03 
2025-04-24 11:38:34,738 INFO: [train..][epoch:191, iter:  47,900, lr:(3.512e-05,)] [eta: 16:10:13, time (data): 0.391 (0.015)] l_pix: 4.7315e-03 
2025-04-24 11:39:13,877 INFO: [train..][epoch:191, iter:  48,000, lr:(3.462e-05,)] [eta: 16:08:38, time (data): 0.391 (0.015)] l_pix: 4.1319e-03 
2025-04-24 11:40:37,099 INFO: Validation FFHQ_val
	 # psnr: 26.3212	Best: 26.3212 @ 48000 iter
	 # niqe: 0.7563	Best: 0.7563 @ 48000 iter

2025-04-24 11:41:17,264 INFO: [train..][epoch:192, iter:  48,100, lr:(3.412e-05,)] [eta: 16:10:01, time (data): 0.390 (0.015)] l_pix: 4.0693e-03 
2025-04-24 11:41:56,349 INFO: [train..][epoch:192, iter:  48,200, lr:(3.363e-05,)] [eta: 16:08:26, time (data): 0.391 (0.015)] l_pix: 3.5195e-03 
2025-04-24 11:42:36,621 INFO: [train..][epoch:193, iter:  48,300, lr:(3.313e-05,)] [eta: 16:06:54, time (data): 0.411 (0.033)] l_pix: 2.8757e-03 
2025-04-24 11:43:15,892 INFO: [train..][epoch:193, iter:  48,400, lr:(3.264e-05,)] [eta: 16:05:19, time (data): 0.399 (0.022)] l_pix: 3.6104e-03 
2025-04-24 11:43:55,178 INFO: [train..][epoch:193, iter:  48,500, lr:(3.215e-05,)] [eta: 16:03:45, time (data): 0.393 (0.015)] l_pix: 4.0945e-03 
2025-04-24 11:45:19,312 INFO: Validation FFHQ_val
	 # psnr: 26.3249	Best: 26.3249 @ 48500 iter
	 # niqe: 0.7564	Best: 0.7564 @ 48500 iter

2025-04-24 11:45:59,460 INFO: [train..][epoch:194, iter:  48,600, lr:(3.167e-05,)] [eta: 16:05:09, time (data): 0.398 (0.022)] l_pix: 4.0022e-03 
2025-04-24 11:46:38,543 INFO: [train..][epoch:194, iter:  48,700, lr:(3.118e-05,)] [eta: 16:03:34, time (data): 0.392 (0.015)] l_pix: 3.1607e-03 
2025-04-24 11:47:18,627 INFO: [train..][epoch:195, iter:  48,800, lr:(3.070e-05,)] [eta: 16:02:02, time (data): 0.397 (0.022)] l_pix: 3.7018e-03 
2025-04-24 11:47:57,956 INFO: [train..][epoch:195, iter:  48,900, lr:(3.022e-05,)] [eta: 16:00:28, time (data): 0.392 (0.015)] l_pix: 3.2877e-03 
2025-04-24 11:48:37,087 INFO: [train..][epoch:195, iter:  49,000, lr:(2.974e-05,)] [eta: 15:58:54, time (data): 0.391 (0.015)] l_pix: 3.3520e-03 
2025-04-24 11:50:00,335 INFO: Validation FFHQ_val
	 # psnr: 26.3253	Best: 26.3253 @ 49000 iter
	 # niqe: 0.7564	Best: 0.7564 @ 49000 iter

2025-04-24 11:50:40,834 INFO: [train..][epoch:196, iter:  49,100, lr:(2.926e-05,)] [eta: 16:00:15, time (data): 0.392 (0.015)] l_pix: 3.4958e-03 
2025-04-24 11:51:19,989 INFO: [train..][epoch:196, iter:  49,200, lr:(2.879e-05,)] [eta: 15:58:41, time (data): 0.392 (0.015)] l_pix: 4.2289e-03 
2025-04-24 11:52:00,348 INFO: [train..][epoch:197, iter:  49,300, lr:(2.831e-05,)] [eta: 15:57:09, time (data): 0.412 (0.036)] l_pix: 3.9481e-03 
2025-04-24 11:52:39,664 INFO: [train..][epoch:197, iter:  49,400, lr:(2.785e-05,)] [eta: 15:55:36, time (data): 0.400 (0.023)] l_pix: 3.2601e-03 
2025-04-24 11:53:18,855 INFO: [train..][epoch:197, iter:  49,500, lr:(2.738e-05,)] [eta: 15:54:03, time (data): 0.391 (0.015)] l_pix: 3.3839e-03 
2025-04-24 11:54:42,472 INFO: Validation FFHQ_val
	 # psnr: 26.3289	Best: 26.3289 @ 49500 iter
	 # niqe: 0.7565	Best: 0.7565 @ 49500 iter

2025-04-24 11:55:22,702 INFO: [train..][epoch:198, iter:  49,600, lr:(2.691e-05,)] [eta: 15:55:22, time (data): 0.398 (0.022)] l_pix: 3.6506e-03 
2025-04-24 11:56:01,916 INFO: [train..][epoch:198, iter:  49,700, lr:(2.645e-05,)] [eta: 15:53:48, time (data): 0.394 (0.015)] l_pix: 5.2541e-03 
2025-04-24 11:56:42,084 INFO: [train..][epoch:199, iter:  49,800, lr:(2.599e-05,)] [eta: 15:52:17, time (data): 0.399 (0.022)] l_pix: 3.5394e-03 
2025-04-24 11:57:21,098 INFO: [train..][epoch:199, iter:  49,900, lr:(2.553e-05,)] [eta: 15:50:44, time (data): 0.391 (0.015)] l_pix: 4.0858e-03 
2025-04-24 11:58:00,147 INFO: [train..][epoch:199, iter:  50,000, lr:(2.508e-05,)] [eta: 15:49:11, time (data): 0.391 (0.015)] l_pix: 3.4227e-03 
2025-04-24 11:58:00,148 INFO: Saving models and training states.
2025-04-24 11:59:26,790 INFO: Validation FFHQ_val
	 # psnr: 26.3322	Best: 26.3322 @ 50000 iter
	 # niqe: 0.7565	Best: 0.7565 @ 50000 iter

2025-04-24 12:00:07,055 INFO: [train..][epoch:200, iter:  50,100, lr:(2.463e-05,)] [eta: 15:50:34, time (data): 0.392 (0.014)] l_pix: 3.4141e-03 
2025-04-24 12:00:46,278 INFO: [train..][epoch:200, iter:  50,200, lr:(2.418e-05,)] [eta: 15:49:01, time (data): 0.392 (0.014)] l_pix: 3.8641e-03 
2025-04-24 12:01:26,393 INFO: [train..][epoch:201, iter:  50,300, lr:(2.373e-05,)] [eta: 15:47:31, time (data): 0.412 (0.036)] l_pix: 3.1521e-03 
2025-04-24 12:02:05,457 INFO: [train..][epoch:201, iter:  50,400, lr:(2.329e-05,)] [eta: 15:45:58, time (data): 0.398 (0.022)] l_pix: 4.5093e-03 
2025-04-24 12:02:44,789 INFO: [train..][epoch:201, iter:  50,500, lr:(2.285e-05,)] [eta: 15:44:26, time (data): 0.393 (0.014)] l_pix: 3.1843e-03 
2025-04-24 12:04:10,096 INFO: Validation FFHQ_val
	 # psnr: 26.3329	Best: 26.3329 @ 50500 iter
	 # niqe: 0.7566	Best: 0.7566 @ 50500 iter

2025-04-24 12:04:50,256 INFO: [train..][epoch:202, iter:  50,600, lr:(2.241e-05,)] [eta: 15:45:44, time (data): 0.399 (0.022)] l_pix: 3.6422e-03 
2025-04-24 12:05:29,436 INFO: [train..][epoch:202, iter:  50,700, lr:(2.198e-05,)] [eta: 15:44:12, time (data): 0.393 (0.015)] l_pix: 4.5028e-03 
2025-04-24 12:06:09,695 INFO: [train..][epoch:203, iter:  50,800, lr:(2.155e-05,)] [eta: 15:42:42, time (data): 0.399 (0.023)] l_pix: 3.1081e-03 
2025-04-24 12:06:48,703 INFO: [train..][epoch:203, iter:  50,900, lr:(2.112e-05,)] [eta: 15:41:10, time (data): 0.390 (0.015)] l_pix: 4.3429e-03 
2025-04-24 12:07:27,858 INFO: [train..][epoch:203, iter:  51,000, lr:(2.069e-05,)] [eta: 15:39:38, time (data): 0.391 (0.015)] l_pix: 3.3530e-03 
2025-04-24 12:08:53,592 INFO: Validation FFHQ_val
	 # psnr: 26.3351	Best: 26.3351 @ 51000 iter
	 # niqe: 0.7566	Best: 0.7566 @ 51000 iter

2025-04-24 12:09:33,798 INFO: [train..][epoch:204, iter:  51,100, lr:(2.027e-05,)] [eta: 15:40:55, time (data): 0.392 (0.015)] l_pix: 3.3573e-03 
2025-04-24 12:10:12,869 INFO: [train..][epoch:204, iter:  51,200, lr:(1.985e-05,)] [eta: 15:39:23, time (data): 0.391 (0.015)] l_pix: 3.4804e-03 
2025-04-24 12:10:53,208 INFO: [train..][epoch:205, iter:  51,300, lr:(1.944e-05,)] [eta: 15:37:54, time (data): 0.392 (0.015)] l_pix: 3.4969e-03 
2025-04-24 12:11:32,392 INFO: [train..][epoch:205, iter:  51,400, lr:(1.903e-05,)] [eta: 15:36:23, time (data): 0.392 (0.015)] l_pix: 2.9025e-03 
2025-04-24 12:12:11,639 INFO: [train..][epoch:205, iter:  51,500, lr:(1.862e-05,)] [eta: 15:34:52, time (data): 0.391 (0.015)] l_pix: 3.4345e-03 
2025-04-24 12:13:37,573 INFO: Validation FFHQ_val
	 # psnr: 26.3350	Best: 26.3351 @ 51000 iter
	 # niqe: 0.7566	Best: 0.7566 @ 51500 iter

2025-04-24 12:14:17,979 INFO: [train..][epoch:206, iter:  51,600, lr:(1.821e-05,)] [eta: 15:36:07, time (data): 0.400 (0.023)] l_pix: 3.0873e-03 
2025-04-24 12:14:57,193 INFO: [train..][epoch:206, iter:  51,700, lr:(1.781e-05,)] [eta: 15:34:36, time (data): 0.393 (0.015)] l_pix: 4.1655e-03 
2025-04-24 12:15:37,428 INFO: [train..][epoch:207, iter:  51,800, lr:(1.742e-05,)] [eta: 15:33:07, time (data): 0.400 (0.023)] l_pix: 4.1734e-03 
2025-04-24 12:16:16,592 INFO: [train..][epoch:207, iter:  51,900, lr:(1.702e-05,)] [eta: 15:31:36, time (data): 0.391 (0.015)] l_pix: 4.1773e-03 
2025-04-24 12:16:55,846 INFO: [train..][epoch:207, iter:  52,000, lr:(1.663e-05,)] [eta: 15:30:06, time (data): 0.392 (0.015)] l_pix: 4.1080e-03 
2025-04-24 12:18:22,021 INFO: Validation FFHQ_val
	 # psnr: 26.3375	Best: 26.3375 @ 52000 iter
	 # niqe: 0.7566	Best: 0.7566 @ 52000 iter

2025-04-24 12:19:02,061 INFO: [train..][epoch:208, iter:  52,100, lr:(1.624e-05,)] [eta: 15:31:19, time (data): 0.390 (0.014)] l_pix: 4.1003e-03 
2025-04-24 12:19:41,225 INFO: [train..][epoch:208, iter:  52,200, lr:(1.586e-05,)] [eta: 15:29:49, time (data): 0.391 (0.015)] l_pix: 3.5861e-03 
2025-04-24 12:20:21,659 INFO: [train..][epoch:209, iter:  52,300, lr:(1.548e-05,)] [eta: 15:28:21, time (data): 0.393 (0.014)] l_pix: 3.4232e-03 
2025-04-24 12:21:00,812 INFO: [train..][epoch:209, iter:  52,400, lr:(1.511e-05,)] [eta: 15:26:50, time (data): 0.392 (0.015)] l_pix: 3.3550e-03 
2025-04-24 12:21:40,012 INFO: [train..][epoch:209, iter:  52,500, lr:(1.473e-05,)] [eta: 15:25:20, time (data): 0.391 (0.014)] l_pix: 3.3531e-03 
2025-04-24 12:23:06,649 INFO: Validation FFHQ_val
	 # psnr: 26.3403	Best: 26.3403 @ 52500 iter
	 # niqe: 0.7567	Best: 0.7567 @ 52500 iter

2025-04-24 12:23:46,938 INFO: [train..][epoch:210, iter:  52,600, lr:(1.437e-05,)] [eta: 15:26:33, time (data): 0.400 (0.023)] l_pix: 3.2844e-03 
2025-04-24 12:24:26,232 INFO: [train..][epoch:210, iter:  52,700, lr:(1.400e-05,)] [eta: 15:25:03, time (data): 0.392 (0.014)] l_pix: 3.5118e-03 
2025-04-24 12:25:06,449 INFO: [train..][epoch:211, iter:  52,800, lr:(1.364e-05,)] [eta: 15:23:35, time (data): 0.399 (0.023)] l_pix: 3.3957e-03 
2025-04-24 12:25:45,774 INFO: [train..][epoch:211, iter:  52,900, lr:(1.329e-05,)] [eta: 15:22:05, time (data): 0.394 (0.016)] l_pix: 2.9065e-03 
2025-04-24 12:26:24,879 INFO: [train..][epoch:211, iter:  53,000, lr:(1.293e-05,)] [eta: 15:20:36, time (data): 0.392 (0.015)] l_pix: 4.2927e-03 
2025-04-24 12:27:51,329 INFO: Validation FFHQ_val
	 # psnr: 26.3393	Best: 26.3403 @ 52500 iter
	 # niqe: 0.7567	Best: 0.7567 @ 53000 iter

2025-04-24 12:28:31,623 INFO: [train..][epoch:212, iter:  53,100, lr:(1.259e-05,)] [eta: 15:21:46, time (data): 0.391 (0.015)] l_pix: 3.7302e-03 
2025-04-24 12:29:10,803 INFO: [train..][epoch:212, iter:  53,200, lr:(1.224e-05,)] [eta: 15:20:17, time (data): 0.392 (0.015)] l_pix: 2.8734e-03 
2025-04-24 12:29:51,082 INFO: [train..][epoch:213, iter:  53,300, lr:(1.190e-05,)] [eta: 15:18:49, time (data): 0.393 (0.015)] l_pix: 3.7251e-03 
2025-04-24 12:30:30,403 INFO: [train..][epoch:213, iter:  53,400, lr:(1.157e-05,)] [eta: 15:17:20, time (data): 0.393 (0.015)] l_pix: 3.4349e-03 
2025-04-24 12:31:09,532 INFO: [train..][epoch:213, iter:  53,500, lr:(1.123e-05,)] [eta: 15:15:51, time (data): 0.390 (0.015)] l_pix: 3.3559e-03 
2025-04-24 12:32:34,624 INFO: Validation FFHQ_val
	 # psnr: 26.3423	Best: 26.3423 @ 53500 iter
	 # niqe: 0.7567	Best: 0.7567 @ 53500 iter

2025-04-24 12:33:14,649 INFO: [train..][epoch:214, iter:  53,600, lr:(1.091e-05,)] [eta: 15:16:57, time (data): 0.398 (0.023)] l_pix: 3.7521e-03 
2025-04-24 12:33:53,820 INFO: [train..][epoch:214, iter:  53,700, lr:(1.058e-05,)] [eta: 15:15:27, time (data): 0.390 (0.015)] l_pix: 3.1151e-03 
2025-04-24 12:34:34,073 INFO: [train..][epoch:215, iter:  53,800, lr:(1.027e-05,)] [eta: 15:14:00, time (data): 0.399 (0.024)] l_pix: 3.7182e-03 
2025-04-24 12:35:13,289 INFO: [train..][epoch:215, iter:  53,900, lr:(9.952e-06,)] [eta: 15:12:32, time (data): 0.391 (0.015)] l_pix: 3.3438e-03 
2025-04-24 12:35:52,523 INFO: [train..][epoch:215, iter:  54,000, lr:(9.643e-06,)] [eta: 15:11:03, time (data): 0.392 (0.015)] l_pix: 4.1127e-03 
2025-04-24 12:37:16,819 INFO: Validation FFHQ_val
	 # psnr: 26.3461	Best: 26.3461 @ 54000 iter
	 # niqe: 0.7568	Best: 0.7568 @ 54000 iter

2025-04-24 12:37:57,064 INFO: [train..][epoch:216, iter:  54,100, lr:(9.337e-06,)] [eta: 15:12:06, time (data): 0.394 (0.015)] l_pix: 3.4503e-03 
2025-04-24 12:38:36,246 INFO: [train..][epoch:216, iter:  54,200, lr:(9.037e-06,)] [eta: 15:10:37, time (data): 0.392 (0.015)] l_pix: 4.0777e-03 
2025-04-24 12:39:16,520 INFO: [train..][epoch:217, iter:  54,300, lr:(8.740e-06,)] [eta: 15:09:11, time (data): 0.394 (0.015)] l_pix: 3.2405e-03 
2025-04-24 12:39:55,791 INFO: [train..][epoch:217, iter:  54,400, lr:(8.448e-06,)] [eta: 15:07:43, time (data): 0.393 (0.015)] l_pix: 3.2561e-03 
2025-04-24 12:40:34,678 INFO: [train..][epoch:217, iter:  54,500, lr:(8.161e-06,)] [eta: 15:06:14, time (data): 0.387 (0.015)] l_pix: 4.1511e-03 
2025-04-24 12:42:00,248 INFO: Validation FFHQ_val
	 # psnr: 26.3424	Best: 26.3461 @ 54000 iter
	 # niqe: 0.7568	Best: 0.7568 @ 54000 iter

2025-04-24 12:42:40,693 INFO: [train..][epoch:218, iter:  54,600, lr:(7.879e-06,)] [eta: 15:07:18, time (data): 0.401 (0.024)] l_pix: 3.8098e-03 
2025-04-24 12:43:19,754 INFO: [train..][epoch:218, iter:  54,700, lr:(7.601e-06,)] [eta: 15:05:49, time (data): 0.390 (0.015)] l_pix: 4.5281e-03 
2025-04-24 12:44:00,070 INFO: [train..][epoch:219, iter:  54,800, lr:(7.327e-06,)] [eta: 15:04:23, time (data): 0.400 (0.024)] l_pix: 3.8749e-03 
2025-04-24 12:44:39,193 INFO: [train..][epoch:219, iter:  54,900, lr:(7.059e-06,)] [eta: 15:02:55, time (data): 0.392 (0.015)] l_pix: 3.7590e-03 
2025-04-24 12:45:18,391 INFO: [train..][epoch:219, iter:  55,000, lr:(6.795e-06,)] [eta: 15:01:28, time (data): 0.392 (0.015)] l_pix: 3.6426e-03 
2025-04-24 12:45:18,392 INFO: Saving models and training states.
2025-04-24 12:46:42,796 INFO: Validation FFHQ_val
	 # psnr: 26.3408	Best: 26.3461 @ 54000 iter
	 # niqe: 0.7568	Best: 0.7568 @ 54000 iter

2025-04-24 12:47:23,104 INFO: [train..][epoch:220, iter:  55,100, lr:(6.535e-06,)] [eta: 15:02:27, time (data): 0.389 (0.014)] l_pix: 4.1038e-03 
2025-04-24 12:48:02,196 INFO: [train..][epoch:220, iter:  55,200, lr:(6.281e-06,)] [eta: 15:00:59, time (data): 0.390 (0.015)] l_pix: 3.0888e-03 
2025-04-24 12:48:42,648 INFO: [train..][epoch:221, iter:  55,300, lr:(6.031e-06,)] [eta: 14:59:34, time (data): 0.395 (0.017)] l_pix: 3.9441e-03 
2025-04-24 12:49:21,781 INFO: [train..][epoch:221, iter:  55,400, lr:(5.787e-06,)] [eta: 14:58:07, time (data): 0.392 (0.016)] l_pix: 2.9029e-03 
2025-04-24 12:50:00,966 INFO: [train..][epoch:221, iter:  55,500, lr:(5.547e-06,)] [eta: 14:56:39, time (data): 0.391 (0.014)] l_pix: 4.6469e-03 
2025-04-24 12:51:27,161 INFO: Validation FFHQ_val
	 # psnr: 26.3390	Best: 26.3461 @ 54000 iter
	 # niqe: 0.7567	Best: 0.7568 @ 54000 iter

2025-04-24 12:52:07,345 INFO: [train..][epoch:222, iter:  55,600, lr:(5.312e-06,)] [eta: 14:57:40, time (data): 0.400 (0.023)] l_pix: 3.1972e-03 
2025-04-24 12:52:46,659 INFO: [train..][epoch:222, iter:  55,700, lr:(5.081e-06,)] [eta: 14:56:13, time (data): 0.393 (0.015)] l_pix: 3.4806e-03 
2025-04-24 12:53:26,913 INFO: [train..][epoch:223, iter:  55,800, lr:(4.856e-06,)] [eta: 14:54:48, time (data): 0.401 (0.024)] l_pix: 3.3950e-03 
2025-04-24 12:54:06,211 INFO: [train..][epoch:223, iter:  55,900, lr:(4.636e-06,)] [eta: 14:53:21, time (data): 0.390 (0.015)] l_pix: 3.1066e-03 
2025-04-24 12:54:45,321 INFO: [train..][epoch:223, iter:  56,000, lr:(4.421e-06,)] [eta: 14:51:54, time (data): 0.391 (0.015)] l_pix: 3.6637e-03 
2025-04-24 12:56:07,670 INFO: Validation FFHQ_val
	 # psnr: 26.3394	Best: 26.3461 @ 54000 iter
	 # niqe: 0.7568	Best: 0.7568 @ 56000 iter

2025-04-24 12:56:48,103 INFO: [train..][epoch:224, iter:  56,100, lr:(4.210e-06,)] [eta: 14:52:47, time (data): 0.391 (0.014)] l_pix: 2.7733e-03 
2025-04-24 12:57:27,205 INFO: [train..][epoch:224, iter:  56,200, lr:(4.005e-06,)] [eta: 14:51:20, time (data): 0.391 (0.015)] l_pix: 3.4579e-03 
2025-04-24 12:58:07,378 INFO: [train..][epoch:225, iter:  56,300, lr:(3.805e-06,)] [eta: 14:49:55, time (data): 0.389 (0.015)] l_pix: 2.9968e-03 
2025-04-24 12:58:46,606 INFO: [train..][epoch:225, iter:  56,400, lr:(3.610e-06,)] [eta: 14:48:29, time (data): 0.392 (0.015)] l_pix: 3.6855e-03 
2025-04-24 12:59:25,804 INFO: [train..][epoch:225, iter:  56,500, lr:(3.420e-06,)] [eta: 14:47:03, time (data): 0.392 (0.015)] l_pix: 3.8243e-03 
2025-04-24 13:00:47,950 INFO: Validation FFHQ_val
	 # psnr: 26.3435	Best: 26.3461 @ 54000 iter
	 # niqe: 0.7568	Best: 0.7568 @ 56500 iter

2025-04-24 13:01:28,341 INFO: [train..][epoch:226, iter:  56,600, lr:(3.235e-06,)] [eta: 14:47:54, time (data): 0.402 (0.024)] l_pix: 2.6974e-03 
2025-04-24 13:02:07,509 INFO: [train..][epoch:226, iter:  56,700, lr:(3.055e-06,)] [eta: 14:46:27, time (data): 0.393 (0.015)] l_pix: 5.0196e-03 
2025-04-24 13:02:47,677 INFO: [train..][epoch:227, iter:  56,800, lr:(2.880e-06,)] [eta: 14:45:03, time (data): 0.400 (0.024)] l_pix: 3.5793e-03 
2025-04-24 13:03:26,839 INFO: [train..][epoch:227, iter:  56,900, lr:(2.711e-06,)] [eta: 14:43:37, time (data): 0.392 (0.015)] l_pix: 4.5006e-03 
2025-04-24 13:04:05,913 INFO: [train..][epoch:227, iter:  57,000, lr:(2.546e-06,)] [eta: 14:42:11, time (data): 0.391 (0.015)] l_pix: 4.5330e-03 
2025-04-24 13:05:28,477 INFO: Validation FFHQ_val
	 # psnr: 26.3407	Best: 26.3461 @ 54000 iter
	 # niqe: 0.7568	Best: 0.7568 @ 56500 iter

2025-04-24 13:06:08,618 INFO: [train..][epoch:228, iter:  57,100, lr:(2.387e-06,)] [eta: 14:43:01, time (data): 0.389 (0.014)] l_pix: 3.8436e-03 
2025-04-24 13:06:47,901 INFO: [train..][epoch:228, iter:  57,200, lr:(2.233e-06,)] [eta: 14:41:35, time (data): 0.392 (0.015)] l_pix: 3.8645e-03 
2025-04-24 13:07:28,078 INFO: [train..][epoch:229, iter:  57,300, lr:(2.085e-06,)] [eta: 14:40:11, time (data): 0.390 (0.015)] l_pix: 3.8702e-03 
2025-04-24 13:08:07,274 INFO: [train..][epoch:229, iter:  57,400, lr:(1.941e-06,)] [eta: 14:38:45, time (data): 0.392 (0.015)] l_pix: 3.1441e-03 
2025-04-24 13:08:46,620 INFO: [train..][epoch:229, iter:  57,500, lr:(1.803e-06,)] [eta: 14:37:20, time (data): 0.390 (0.014)] l_pix: 4.0971e-03 
2025-04-24 13:10:09,035 INFO: Validation FFHQ_val
	 # psnr: 26.3438	Best: 26.3461 @ 54000 iter
	 # niqe: 0.7568	Best: 0.7568 @ 57500 iter

2025-04-24 13:10:49,441 INFO: [train..][epoch:230, iter:  57,600, lr:(1.671e-06,)] [eta: 14:38:09, time (data): 0.402 (0.025)] l_pix: 4.2914e-03 
2025-04-24 13:11:28,436 INFO: [train..][epoch:230, iter:  57,700, lr:(1.543e-06,)] [eta: 14:36:43, time (data): 0.385 (0.014)] l_pix: 4.4231e-03 
2025-04-24 13:12:08,624 INFO: [train..][epoch:231, iter:  57,800, lr:(1.421e-06,)] [eta: 14:35:19, time (data): 0.400 (0.024)] l_pix: 3.4824e-03 
2025-04-24 13:12:47,871 INFO: [train..][epoch:231, iter:  57,900, lr:(1.304e-06,)] [eta: 14:33:54, time (data): 0.394 (0.015)] l_pix: 3.5796e-03 
2025-04-24 13:13:27,174 INFO: [train..][epoch:231, iter:  58,000, lr:(1.193e-06,)] [eta: 14:32:29, time (data): 0.393 (0.015)] l_pix: 3.5159e-03 
2025-04-24 13:14:49,618 INFO: Validation FFHQ_val
	 # psnr: 26.3494	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7569	Best: 0.7569 @ 58000 iter

2025-04-24 13:15:30,096 INFO: [train..][epoch:232, iter:  58,100, lr:(1.086e-06,)] [eta: 14:33:16, time (data): 0.392 (0.015)] l_pix: 3.4632e-03 
2025-04-24 13:16:09,253 INFO: [train..][epoch:232, iter:  58,200, lr:(9.857e-07,)] [eta: 14:31:51, time (data): 0.392 (0.015)] l_pix: 3.5513e-03 
2025-04-24 13:16:49,672 INFO: [train..][epoch:233, iter:  58,300, lr:(8.904e-07,)] [eta: 14:30:28, time (data): 0.394 (0.016)] l_pix: 2.8035e-03 
2025-04-24 13:17:28,714 INFO: [train..][epoch:233, iter:  58,400, lr:(8.004e-07,)] [eta: 14:29:03, time (data): 0.391 (0.015)] l_pix: 3.2803e-03 
2025-04-24 13:18:07,889 INFO: [train..][epoch:233, iter:  58,500, lr:(7.158e-07,)] [eta: 14:27:38, time (data): 0.395 (0.014)] l_pix: 3.8146e-03 
2025-04-24 13:19:30,716 INFO: Validation FFHQ_val
	 # psnr: 26.3477	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7568	Best: 0.7569 @ 58000 iter

2025-04-24 13:20:11,044 INFO: [train..][epoch:234, iter:  58,600, lr:(6.366e-07,)] [eta: 14:28:25, time (data): 0.403 (0.026)] l_pix: 2.9725e-03 
2025-04-24 13:20:50,342 INFO: [train..][epoch:234, iter:  58,700, lr:(5.629e-07,)] [eta: 14:27:00, time (data): 0.391 (0.014)] l_pix: 4.5090e-03 
2025-04-24 13:21:30,689 INFO: [train..][epoch:235, iter:  58,800, lr:(4.945e-07,)] [eta: 14:25:38, time (data): 0.402 (0.025)] l_pix: 3.9105e-03 
2025-04-24 13:22:09,750 INFO: [train..][epoch:235, iter:  58,900, lr:(4.316e-07,)] [eta: 14:24:13, time (data): 0.395 (0.015)] l_pix: 3.2176e-03 
2025-04-24 13:22:48,768 INFO: [train..][epoch:235, iter:  59,000, lr:(3.742e-07,)] [eta: 14:22:48, time (data): 0.390 (0.015)] l_pix: 3.5803e-03 
2025-04-24 13:24:10,770 INFO: Validation FFHQ_val
	 # psnr: 26.3449	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7568	Best: 0.7569 @ 58000 iter

2025-04-24 13:24:51,016 INFO: [train..][epoch:236, iter:  59,100, lr:(3.222e-07,)] [eta: 14:23:32, time (data): 0.395 (0.015)] l_pix: 4.7449e-03 
2025-04-24 13:25:30,039 INFO: [train..][epoch:236, iter:  59,200, lr:(2.756e-07,)] [eta: 14:22:08, time (data): 0.390 (0.015)] l_pix: 3.1545e-03 
2025-04-24 13:26:10,195 INFO: [train..][epoch:237, iter:  59,300, lr:(2.345e-07,)] [eta: 14:20:45, time (data): 0.395 (0.017)] l_pix: 2.6167e-03 
2025-04-24 13:26:49,432 INFO: [train..][epoch:237, iter:  59,400, lr:(1.989e-07,)] [eta: 14:19:21, time (data): 0.392 (0.015)] l_pix: 4.4414e-03 
2025-04-24 13:27:28,688 INFO: [train..][epoch:237, iter:  59,500, lr:(1.687e-07,)] [eta: 14:17:57, time (data): 0.396 (0.014)] l_pix: 3.4305e-03 
2025-04-24 13:28:51,984 INFO: Validation FFHQ_val
	 # psnr: 26.3447	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7568	Best: 0.7569 @ 58000 iter

2025-04-24 13:29:32,253 INFO: [train..][epoch:238, iter:  59,600, lr:(1.440e-07,)] [eta: 14:18:41, time (data): 0.402 (0.026)] l_pix: 3.9659e-03 
2025-04-24 13:30:11,490 INFO: [train..][epoch:238, iter:  59,700, lr:(1.248e-07,)] [eta: 14:17:18, time (data): 0.385 (0.014)] l_pix: 3.8290e-03 
2025-04-24 13:30:51,746 INFO: [train..][epoch:239, iter:  59,800, lr:(1.111e-07,)] [eta: 14:15:55, time (data): 0.402 (0.025)] l_pix: 4.1119e-03 
2025-04-24 13:31:30,881 INFO: [train..][epoch:239, iter:  59,900, lr:(1.028e-07,)] [eta: 14:14:32, time (data): 0.397 (0.014)] l_pix: 3.2268e-03 
2025-04-24 13:32:10,082 INFO: [train..][epoch:239, iter:  60,000, lr:(1.000e-07,)] [eta: 14:13:08, time (data): 0.392 (0.015)] l_pix: 3.3284e-03 
2025-04-24 13:32:10,083 INFO: Saving models and training states.
2025-04-24 13:33:35,448 INFO: Validation FFHQ_val
	 # psnr: 26.3447	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7568	Best: 0.7569 @ 58000 iter

2025-04-24 13:34:15,632 INFO: [train..][epoch:240, iter:  60,100, lr:(1.000e-04,)] [eta: 14:13:54, time (data): 0.387 (0.015)] l_pix: 3.8436e-03 
2025-04-24 13:34:54,879 INFO: [train..][epoch:240, iter:  60,200, lr:(9.999e-05,)] [eta: 14:12:31, time (data): 0.392 (0.014)] l_pix: 4.9919e-03 
2025-04-24 13:35:35,126 INFO: [train..][epoch:241, iter:  60,300, lr:(9.998e-05,)] [eta: 14:11:09, time (data): 0.397 (0.020)] l_pix: 3.6053e-03 
2025-04-24 13:36:14,370 INFO: [train..][epoch:241, iter:  60,400, lr:(9.996e-05,)] [eta: 14:09:46, time (data): 0.392 (0.015)] l_pix: 3.6654e-03 
2025-04-24 13:36:53,704 INFO: [train..][epoch:241, iter:  60,500, lr:(9.993e-05,)] [eta: 14:08:23, time (data): 0.393 (0.015)] l_pix: 3.2259e-03 
2025-04-24 13:38:19,031 INFO: Validation FFHQ_val
	 # psnr: 26.3400	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7568	Best: 0.7569 @ 58000 iter

2025-04-24 13:38:59,172 INFO: [train..][epoch:242, iter:  60,600, lr:(9.990e-05,)] [eta: 14:09:07, time (data): 0.390 (0.015)] l_pix: 3.7366e-03 
2025-04-24 13:39:38,098 INFO: [train..][epoch:242, iter:  60,700, lr:(9.987e-05,)] [eta: 14:07:43, time (data): 0.390 (0.015)] l_pix: 4.8082e-03 
2025-04-24 13:40:18,231 INFO: [train..][epoch:243, iter:  60,800, lr:(9.983e-05,)] [eta: 14:06:22, time (data): 0.402 (0.026)] l_pix: 3.9271e-03 
2025-04-24 13:40:57,388 INFO: [train..][epoch:243, iter:  60,900, lr:(9.978e-05,)] [eta: 14:04:59, time (data): 0.397 (0.021)] l_pix: 3.7010e-03 
2025-04-24 13:41:36,603 INFO: [train..][epoch:243, iter:  61,000, lr:(9.973e-05,)] [eta: 14:03:36, time (data): 0.392 (0.015)] l_pix: 3.0741e-03 
2025-04-24 13:43:03,384 INFO: Validation FFHQ_val
	 # psnr: 26.3290	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7567	Best: 0.7569 @ 58000 iter

2025-04-24 13:43:43,742 INFO: [train..][epoch:244, iter:  61,100, lr:(9.967e-05,)] [eta: 14:04:21, time (data): 0.398 (0.021)] l_pix: 3.6166e-03 
2025-04-24 13:44:22,901 INFO: [train..][epoch:244, iter:  61,200, lr:(9.961e-05,)] [eta: 14:02:59, time (data): 0.391 (0.015)] l_pix: 3.0953e-03 
2025-04-24 13:45:03,005 INFO: [train..][epoch:245, iter:  61,300, lr:(9.954e-05,)] [eta: 14:01:37, time (data): 0.396 (0.020)] l_pix: 3.9092e-03 
2025-04-24 13:45:42,108 INFO: [train..][epoch:245, iter:  61,400, lr:(9.946e-05,)] [eta: 14:00:15, time (data): 0.391 (0.015)] l_pix: 4.4700e-03 
2025-04-24 13:46:21,122 INFO: [train..][epoch:245, iter:  61,500, lr:(9.939e-05,)] [eta: 13:58:52, time (data): 0.390 (0.015)] l_pix: 3.5645e-03 
2025-04-24 13:47:47,631 INFO: Validation FFHQ_val
	 # psnr: 26.3209	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7567	Best: 0.7569 @ 58000 iter

2025-04-24 13:48:27,787 INFO: [train..][epoch:246, iter:  61,600, lr:(9.930e-05,)] [eta: 13:59:35, time (data): 0.390 (0.015)] l_pix: 3.4981e-03 
2025-04-24 13:49:06,906 INFO: [train..][epoch:246, iter:  61,700, lr:(9.921e-05,)] [eta: 13:58:13, time (data): 0.391 (0.015)] l_pix: 4.6432e-03 
2025-04-24 13:49:47,210 INFO: [train..][epoch:247, iter:  61,800, lr:(9.912e-05,)] [eta: 13:56:52, time (data): 0.403 (0.026)] l_pix: 2.8648e-03 
2025-04-24 13:50:26,348 INFO: [train..][epoch:247, iter:  61,900, lr:(9.902e-05,)] [eta: 13:55:30, time (data): 0.397 (0.020)] l_pix: 2.9642e-03 
2025-04-24 13:51:05,454 INFO: [train..][epoch:247, iter:  62,000, lr:(9.891e-05,)] [eta: 13:54:08, time (data): 0.391 (0.015)] l_pix: 3.9730e-03 
2025-04-24 13:52:31,321 INFO: Validation FFHQ_val
	 # psnr: 26.3171	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7567	Best: 0.7569 @ 58000 iter

2025-04-24 13:53:11,543 INFO: [train..][epoch:248, iter:  62,100, lr:(9.880e-05,)] [eta: 13:54:49, time (data): 0.397 (0.020)] l_pix: 3.5414e-03 
2025-04-24 13:53:50,806 INFO: [train..][epoch:248, iter:  62,200, lr:(9.868e-05,)] [eta: 13:53:27, time (data): 0.393 (0.015)] l_pix: 3.4187e-03 
2025-04-24 13:54:30,899 INFO: [train..][epoch:249, iter:  62,300, lr:(9.856e-05,)] [eta: 13:52:06, time (data): 0.397 (0.020)] l_pix: 4.8410e-03 
2025-04-24 13:55:10,118 INFO: [train..][epoch:249, iter:  62,400, lr:(9.843e-05,)] [eta: 13:50:44, time (data): 0.392 (0.015)] l_pix: 3.0402e-03 
2025-04-24 13:55:49,383 INFO: [train..][epoch:249, iter:  62,500, lr:(9.830e-05,)] [eta: 13:49:23, time (data): 0.392 (0.015)] l_pix: 3.2827e-03 
2025-04-24 13:57:11,983 INFO: Validation FFHQ_val
	 # psnr: 26.3220	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7568	Best: 0.7569 @ 58000 iter

2025-04-24 13:57:52,290 INFO: [train..][epoch:250, iter:  62,600, lr:(9.816e-05,)] [eta: 13:49:58, time (data): 0.390 (0.014)] l_pix: 3.9406e-03 
2025-04-24 13:58:31,386 INFO: [train..][epoch:250, iter:  62,700, lr:(9.802e-05,)] [eta: 13:48:36, time (data): 0.391 (0.015)] l_pix: 4.1921e-03 
2025-04-24 13:59:11,507 INFO: [train..][epoch:251, iter:  62,800, lr:(9.787e-05,)] [eta: 13:47:16, time (data): 0.403 (0.028)] l_pix: 3.1840e-03 
2025-04-24 13:59:50,889 INFO: [train..][epoch:251, iter:  62,900, lr:(9.772e-05,)] [eta: 13:45:55, time (data): 0.398 (0.021)] l_pix: 4.0428e-03 
2025-04-24 14:00:30,032 INFO: [train..][epoch:251, iter:  63,000, lr:(9.756e-05,)] [eta: 13:44:33, time (data): 0.391 (0.015)] l_pix: 3.5603e-03 
2025-04-24 14:01:54,189 INFO: Validation FFHQ_val
	 # psnr: 26.3236	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7568	Best: 0.7569 @ 58000 iter

2025-04-24 14:02:34,478 INFO: [train..][epoch:252, iter:  63,100, lr:(9.739e-05,)] [eta: 13:45:09, time (data): 0.398 (0.021)] l_pix: 4.1680e-03 
2025-04-24 14:03:13,603 INFO: [train..][epoch:252, iter:  63,200, lr:(9.722e-05,)] [eta: 13:43:48, time (data): 0.391 (0.015)] l_pix: 3.1810e-03 
2025-04-24 14:03:53,953 INFO: [train..][epoch:253, iter:  63,300, lr:(9.705e-05,)] [eta: 13:42:28, time (data): 0.398 (0.021)] l_pix: 4.0211e-03 
2025-04-24 14:04:33,143 INFO: [train..][epoch:253, iter:  63,400, lr:(9.687e-05,)] [eta: 13:41:07, time (data): 0.393 (0.015)] l_pix: 3.9080e-03 
2025-04-24 14:05:12,341 INFO: [train..][epoch:253, iter:  63,500, lr:(9.668e-05,)] [eta: 13:39:46, time (data): 0.392 (0.015)] l_pix: 4.3526e-03 
2025-04-24 14:06:36,961 INFO: Validation FFHQ_val
	 # psnr: 26.3179	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7568	Best: 0.7569 @ 58000 iter

2025-04-24 14:07:17,411 INFO: [train..][epoch:254, iter:  63,600, lr:(9.649e-05,)] [eta: 13:40:22, time (data): 0.392 (0.015)] l_pix: 3.4414e-03 
2025-04-24 14:07:56,512 INFO: [train..][epoch:254, iter:  63,700, lr:(9.630e-05,)] [eta: 13:39:01, time (data): 0.392 (0.015)] l_pix: 4.0534e-03 
2025-04-24 14:08:36,724 INFO: [train..][epoch:255, iter:  63,800, lr:(9.610e-05,)] [eta: 13:37:41, time (data): 0.404 (0.028)] l_pix: 3.2624e-03 
2025-04-24 14:09:15,940 INFO: [train..][epoch:255, iter:  63,900, lr:(9.589e-05,)] [eta: 13:36:20, time (data): 0.397 (0.021)] l_pix: 3.0448e-03 
2025-04-24 14:09:55,160 INFO: [train..][epoch:255, iter:  64,000, lr:(9.568e-05,)] [eta: 13:35:00, time (data): 0.392 (0.015)] l_pix: 3.4961e-03 
2025-04-24 14:11:19,527 INFO: Validation FFHQ_val
	 # psnr: 26.3276	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7568	Best: 0.7569 @ 58000 iter

2025-04-24 14:11:59,694 INFO: [train..][epoch:256, iter:  64,100, lr:(9.547e-05,)] [eta: 13:35:33, time (data): 0.397 (0.021)] l_pix: 3.7109e-03 
2025-04-24 14:12:38,835 INFO: [train..][epoch:256, iter:  64,200, lr:(9.525e-05,)] [eta: 13:34:13, time (data): 0.392 (0.015)] l_pix: 4.0346e-03 
2025-04-24 14:13:19,079 INFO: [train..][epoch:257, iter:  64,300, lr:(9.502e-05,)] [eta: 13:32:54, time (data): 0.398 (0.021)] l_pix: 4.0364e-03 
2025-04-24 14:13:58,281 INFO: [train..][epoch:257, iter:  64,400, lr:(9.479e-05,)] [eta: 13:31:33, time (data): 0.392 (0.015)] l_pix: 3.8322e-03 
2025-04-24 14:14:37,535 INFO: [train..][epoch:257, iter:  64,500, lr:(9.456e-05,)] [eta: 13:30:13, time (data): 0.392 (0.015)] l_pix: 3.8960e-03 
2025-04-24 14:16:01,147 INFO: Validation FFHQ_val
	 # psnr: 26.3273	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7569	Best: 0.7569 @ 64500 iter

2025-04-24 14:16:41,295 INFO: [train..][epoch:258, iter:  64,600, lr:(9.432e-05,)] [eta: 13:30:44, time (data): 0.390 (0.014)] l_pix: 4.0720e-03 
2025-04-24 14:17:20,376 INFO: [train..][epoch:258, iter:  64,700, lr:(9.407e-05,)] [eta: 13:29:24, time (data): 0.390 (0.015)] l_pix: 3.5356e-03 
2025-04-24 14:18:00,552 INFO: [train..][epoch:259, iter:  64,800, lr:(9.382e-05,)] [eta: 13:28:05, time (data): 0.405 (0.028)] l_pix: 3.6632e-03 
2025-04-24 14:18:39,740 INFO: [train..][epoch:259, iter:  64,900, lr:(9.357e-05,)] [eta: 13:26:45, time (data): 0.398 (0.021)] l_pix: 4.0280e-03 
2025-04-24 14:19:18,809 INFO: [train..][epoch:259, iter:  65,000, lr:(9.331e-05,)] [eta: 13:25:25, time (data): 0.391 (0.015)] l_pix: 3.2259e-03 
2025-04-24 14:19:18,810 INFO: Saving models and training states.
2025-04-24 14:20:45,345 INFO: Validation FFHQ_val
	 # psnr: 26.3304	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7570	Best: 0.7570 @ 65000 iter

2025-04-24 14:21:25,733 INFO: [train..][epoch:260, iter:  65,100, lr:(9.305e-05,)] [eta: 13:25:59, time (data): 0.398 (0.021)] l_pix: 3.7448e-03 
2025-04-24 14:22:04,734 INFO: [train..][epoch:260, iter:  65,200, lr:(9.278e-05,)] [eta: 13:24:39, time (data): 0.390 (0.015)] l_pix: 3.8577e-03 
2025-04-24 14:22:45,001 INFO: [train..][epoch:261, iter:  65,300, lr:(9.250e-05,)] [eta: 13:23:20, time (data): 0.397 (0.021)] l_pix: 3.0239e-03 
2025-04-24 14:23:24,082 INFO: [train..][epoch:261, iter:  65,400, lr:(9.223e-05,)] [eta: 13:22:00, time (data): 0.391 (0.015)] l_pix: 3.1106e-03 
2025-04-24 14:24:03,131 INFO: [train..][epoch:261, iter:  65,500, lr:(9.194e-05,)] [eta: 13:20:40, time (data): 0.391 (0.015)] l_pix: 3.2503e-03 
2025-04-24 14:25:28,493 INFO: Validation FFHQ_val
	 # psnr: 26.3324	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7570	Best: 0.7570 @ 65500 iter

2025-04-24 14:26:08,625 INFO: [train..][epoch:262, iter:  65,600, lr:(9.166e-05,)] [eta: 13:21:12, time (data): 0.390 (0.015)] l_pix: 3.3331e-03 
2025-04-24 14:26:47,628 INFO: [train..][epoch:262, iter:  65,700, lr:(9.137e-05,)] [eta: 13:19:52, time (data): 0.390 (0.015)] l_pix: 4.9592e-03 
2025-04-24 14:27:27,846 INFO: [train..][epoch:263, iter:  65,800, lr:(9.107e-05,)] [eta: 13:18:34, time (data): 0.407 (0.031)] l_pix: 4.7131e-03 
2025-04-24 14:28:06,935 INFO: [train..][epoch:263, iter:  65,900, lr:(9.077e-05,)] [eta: 13:17:14, time (data): 0.398 (0.021)] l_pix: 3.6811e-03 
2025-04-24 14:28:46,169 INFO: [train..][epoch:263, iter:  66,000, lr:(9.046e-05,)] [eta: 13:15:55, time (data): 0.393 (0.015)] l_pix: 3.1061e-03 
2025-04-24 14:30:10,335 INFO: Validation FFHQ_val
	 # psnr: 26.3341	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7571	Best: 0.7571 @ 66000 iter

2025-04-24 14:30:50,594 INFO: [train..][epoch:264, iter:  66,100, lr:(9.015e-05,)] [eta: 13:16:23, time (data): 0.399 (0.021)] l_pix: 3.9778e-03 
2025-04-24 14:31:29,784 INFO: [train..][epoch:264, iter:  66,200, lr:(8.984e-05,)] [eta: 13:15:04, time (data): 0.391 (0.014)] l_pix: 3.3804e-03 
2025-04-24 14:32:10,159 INFO: [train..][epoch:265, iter:  66,300, lr:(8.952e-05,)] [eta: 13:13:46, time (data): 0.398 (0.021)] l_pix: 4.4123e-03 
2025-04-24 14:32:49,229 INFO: [train..][epoch:265, iter:  66,400, lr:(8.920e-05,)] [eta: 13:12:27, time (data): 0.391 (0.015)] l_pix: 3.0993e-03 
2025-04-24 14:33:28,219 INFO: [train..][epoch:265, iter:  66,500, lr:(8.887e-05,)] [eta: 13:11:08, time (data): 0.390 (0.015)] l_pix: 2.7581e-03 
2025-04-24 14:34:53,502 INFO: Validation FFHQ_val
	 # psnr: 26.3376	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7571	Best: 0.7571 @ 66500 iter

2025-04-24 14:35:33,830 INFO: [train..][epoch:266, iter:  66,600, lr:(8.854e-05,)] [eta: 13:11:37, time (data): 0.392 (0.014)] l_pix: 3.8781e-03 
2025-04-24 14:36:12,872 INFO: [train..][epoch:266, iter:  66,700, lr:(8.820e-05,)] [eta: 13:10:17, time (data): 0.391 (0.014)] l_pix: 3.6166e-03 
2025-04-24 14:36:52,900 INFO: [train..][epoch:267, iter:  66,800, lr:(8.787e-05,)] [eta: 13:08:59, time (data): 0.405 (0.030)] l_pix: 3.7863e-03 
2025-04-24 14:37:32,099 INFO: [train..][epoch:267, iter:  66,900, lr:(8.752e-05,)] [eta: 13:07:41, time (data): 0.397 (0.021)] l_pix: 4.7628e-03 
2025-04-24 14:38:11,325 INFO: [train..][epoch:267, iter:  67,000, lr:(8.717e-05,)] [eta: 13:06:22, time (data): 0.392 (0.015)] l_pix: 3.3988e-03 
2025-04-24 14:39:36,759 INFO: Validation FFHQ_val
	 # psnr: 26.3397	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7572	Best: 0.7572 @ 67000 iter

2025-04-24 14:40:17,159 INFO: [train..][epoch:268, iter:  67,100, lr:(8.682e-05,)] [eta: 13:06:50, time (data): 0.399 (0.022)] l_pix: 2.7496e-03 
2025-04-24 14:40:56,379 INFO: [train..][epoch:268, iter:  67,200, lr:(8.647e-05,)] [eta: 13:05:31, time (data): 0.393 (0.015)] l_pix: 3.4803e-03 
2025-04-24 14:41:36,572 INFO: [train..][epoch:269, iter:  67,300, lr:(8.611e-05,)] [eta: 13:04:14, time (data): 0.398 (0.021)] l_pix: 3.8547e-03 
2025-04-24 14:42:15,955 INFO: [train..][epoch:269, iter:  67,400, lr:(8.574e-05,)] [eta: 13:02:56, time (data): 0.393 (0.016)] l_pix: 3.8824e-03 
2025-04-24 14:42:55,203 INFO: [train..][epoch:269, iter:  67,500, lr:(8.537e-05,)] [eta: 13:01:37, time (data): 0.393 (0.015)] l_pix: 3.3785e-03 
2025-04-24 14:44:19,154 INFO: Validation FFHQ_val
	 # psnr: 26.3421	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7573	Best: 0.7573 @ 67500 iter

2025-04-24 14:44:59,322 INFO: [train..][epoch:270, iter:  67,600, lr:(8.500e-05,)] [eta: 13:02:02, time (data): 0.390 (0.014)] l_pix: 4.0697e-03 
2025-04-24 14:45:38,575 INFO: [train..][epoch:270, iter:  67,700, lr:(8.463e-05,)] [eta: 13:00:44, time (data): 0.391 (0.015)] l_pix: 3.7710e-03 
2025-04-24 14:46:18,694 INFO: [train..][epoch:271, iter:  67,800, lr:(8.425e-05,)] [eta: 12:59:27, time (data): 0.407 (0.032)] l_pix: 4.3071e-03 
2025-04-24 14:46:57,876 INFO: [train..][epoch:271, iter:  67,900, lr:(8.386e-05,)] [eta: 12:58:08, time (data): 0.398 (0.022)] l_pix: 4.0410e-03 
2025-04-24 14:47:37,043 INFO: [train..][epoch:271, iter:  68,000, lr:(8.348e-05,)] [eta: 12:56:50, time (data): 0.393 (0.015)] l_pix: 3.7362e-03 
2025-04-24 14:49:01,872 INFO: Validation FFHQ_val
	 # psnr: 26.3384	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7573	Best: 0.7573 @ 68000 iter

2025-04-24 14:49:42,036 INFO: [train..][epoch:272, iter:  68,100, lr:(8.309e-05,)] [eta: 12:57:15, time (data): 0.398 (0.021)] l_pix: 4.5521e-03 
2025-04-24 14:50:21,096 INFO: [train..][epoch:272, iter:  68,200, lr:(8.269e-05,)] [eta: 12:55:57, time (data): 0.392 (0.015)] l_pix: 4.3168e-03 
2025-04-24 14:51:01,281 INFO: [train..][epoch:273, iter:  68,300, lr:(8.229e-05,)] [eta: 12:54:40, time (data): 0.398 (0.021)] l_pix: 4.7690e-03 
2025-04-24 14:51:40,481 INFO: [train..][epoch:273, iter:  68,400, lr:(8.189e-05,)] [eta: 12:53:22, time (data): 0.392 (0.015)] l_pix: 3.6218e-03 
2025-04-24 14:52:19,481 INFO: [train..][epoch:273, iter:  68,500, lr:(8.149e-05,)] [eta: 12:52:04, time (data): 0.391 (0.015)] l_pix: 3.7196e-03 
2025-04-24 14:53:45,169 INFO: Validation FFHQ_val
	 # psnr: 26.3423	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7573	Best: 0.7573 @ 68500 iter

2025-04-24 14:54:25,500 INFO: [train..][epoch:274, iter:  68,600, lr:(8.108e-05,)] [eta: 12:52:29, time (data): 0.390 (0.015)] l_pix: 3.2390e-03 
2025-04-24 14:55:04,677 INFO: [train..][epoch:274, iter:  68,700, lr:(8.067e-05,)] [eta: 12:51:11, time (data): 0.391 (0.015)] l_pix: 3.3621e-03 
2025-04-24 14:55:44,867 INFO: [train..][epoch:275, iter:  68,800, lr:(8.025e-05,)] [eta: 12:49:54, time (data): 0.409 (0.034)] l_pix: 4.3663e-03 
2025-04-24 14:56:24,081 INFO: [train..][epoch:275, iter:  68,900, lr:(7.984e-05,)] [eta: 12:48:37, time (data): 0.398 (0.022)] l_pix: 3.8679e-03 
2025-04-24 14:57:03,327 INFO: [train..][epoch:275, iter:  69,000, lr:(7.941e-05,)] [eta: 12:47:19, time (data): 0.393 (0.015)] l_pix: 3.5213e-03 
2025-04-24 14:58:27,959 INFO: Validation FFHQ_val
	 # psnr: 26.3354	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7573	Best: 0.7573 @ 68500 iter

2025-04-24 14:59:08,283 INFO: [train..][epoch:276, iter:  69,100, lr:(7.899e-05,)] [eta: 12:47:42, time (data): 0.400 (0.022)] l_pix: 3.9529e-03 
2025-04-24 14:59:47,452 INFO: [train..][epoch:276, iter:  69,200, lr:(7.856e-05,)] [eta: 12:46:24, time (data): 0.390 (0.014)] l_pix: 3.9695e-03 
2025-04-24 15:00:27,592 INFO: [train..][epoch:277, iter:  69,300, lr:(7.813e-05,)] [eta: 12:45:08, time (data): 0.397 (0.021)] l_pix: 3.4614e-03 
2025-04-24 15:01:06,635 INFO: [train..][epoch:277, iter:  69,400, lr:(7.770e-05,)] [eta: 12:43:50, time (data): 0.391 (0.015)] l_pix: 3.1992e-03 
2025-04-24 15:01:45,782 INFO: [train..][epoch:277, iter:  69,500, lr:(7.726e-05,)] [eta: 12:42:33, time (data): 0.391 (0.015)] l_pix: 3.5187e-03 
2025-04-24 15:03:11,114 INFO: Validation FFHQ_val
	 # psnr: 26.3381	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7574	Best: 0.7574 @ 69500 iter

2025-04-24 15:03:51,459 INFO: [train..][epoch:278, iter:  69,600, lr:(7.682e-05,)] [eta: 12:42:56, time (data): 0.392 (0.015)] l_pix: 3.6996e-03 
2025-04-24 15:04:30,564 INFO: [train..][epoch:278, iter:  69,700, lr:(7.638e-05,)] [eta: 12:41:38, time (data): 0.392 (0.015)] l_pix: 3.6490e-03 
2025-04-24 15:05:10,949 INFO: [train..][epoch:279, iter:  69,800, lr:(7.593e-05,)] [eta: 12:40:22, time (data): 0.415 (0.037)] l_pix: 4.0061e-03 
2025-04-24 15:05:50,329 INFO: [train..][epoch:279, iter:  69,900, lr:(7.548e-05,)] [eta: 12:39:05, time (data): 0.401 (0.023)] l_pix: 3.5015e-03 
2025-04-24 15:06:29,430 INFO: [train..][epoch:279, iter:  70,000, lr:(7.503e-05,)] [eta: 12:37:48, time (data): 0.392 (0.015)] l_pix: 3.7967e-03 
2025-04-24 15:06:29,431 INFO: Saving models and training states.
2025-04-24 15:07:54,399 INFO: Validation FFHQ_val
	 # psnr: 26.3474	Best: 26.3494 @ 58000 iter
	 # niqe: 0.7575	Best: 0.7575 @ 70000 iter

2025-04-24 15:08:34,594 INFO: [train..][epoch:280, iter:  70,100, lr:(7.458e-05,)] [eta: 12:38:09, time (data): 0.398 (0.022)] l_pix: 3.1189e-03 
2025-04-24 15:09:13,732 INFO: [train..][epoch:280, iter:  70,200, lr:(7.412e-05,)] [eta: 12:36:52, time (data): 0.389 (0.014)] l_pix: 3.5248e-03 
2025-04-24 15:09:54,111 INFO: [train..][epoch:281, iter:  70,300, lr:(7.366e-05,)] [eta: 12:35:36, time (data): 0.399 (0.022)] l_pix: 3.9429e-03 
2025-04-24 15:10:33,138 INFO: [train..][epoch:281, iter:  70,400, lr:(7.320e-05,)] [eta: 12:34:19, time (data): 0.389 (0.014)] l_pix: 4.5033e-03 
2025-04-24 15:11:12,243 INFO: [train..][epoch:281, iter:  70,500, lr:(7.273e-05,)] [eta: 12:33:02, time (data): 0.390 (0.014)] l_pix: 3.5475e-03 
2025-04-24 15:12:39,865 INFO: Validation FFHQ_val
	 # psnr: 26.3498	Best: 26.3498 @ 70500 iter
	 # niqe: 0.7576	Best: 0.7576 @ 70500 iter

2025-04-24 15:13:20,007 INFO: [train..][epoch:282, iter:  70,600, lr:(7.226e-05,)] [eta: 12:33:25, time (data): 0.391 (0.015)] l_pix: 3.4527e-03 
2025-04-24 15:13:59,151 INFO: [train..][epoch:282, iter:  70,700, lr:(7.179e-05,)] [eta: 12:32:08, time (data): 0.391 (0.015)] l_pix: 5.6613e-03 
2025-04-24 15:14:39,595 INFO: [train..][epoch:283, iter:  70,800, lr:(7.132e-05,)] [eta: 12:30:53, time (data): 0.395 (0.015)] l_pix: 3.4555e-03 
2025-04-24 15:15:18,767 INFO: [train..][epoch:283, iter:  70,900, lr:(7.085e-05,)] [eta: 12:29:36, time (data): 0.393 (0.015)] l_pix: 3.5920e-03 
2025-04-24 15:15:58,021 INFO: [train..][epoch:283, iter:  71,000, lr:(7.037e-05,)] [eta: 12:28:20, time (data): 0.392 (0.015)] l_pix: 4.8499e-03 
2025-04-24 15:17:23,818 INFO: Validation FFHQ_val
	 # psnr: 26.3484	Best: 26.3498 @ 70500 iter
	 # niqe: 0.7576	Best: 0.7576 @ 71000 iter

2025-04-24 15:18:03,994 INFO: [train..][epoch:284, iter:  71,100, lr:(6.989e-05,)] [eta: 12:28:40, time (data): 0.398 (0.022)] l_pix: 3.2151e-03 
2025-04-24 15:18:43,143 INFO: [train..][epoch:284, iter:  71,200, lr:(6.941e-05,)] [eta: 12:27:23, time (data): 0.392 (0.015)] l_pix: 3.5770e-03 
2025-04-24 15:19:23,354 INFO: [train..][epoch:285, iter:  71,300, lr:(6.893e-05,)] [eta: 12:26:08, time (data): 0.399 (0.022)] l_pix: 3.9072e-03 
2025-04-24 15:20:02,438 INFO: [train..][epoch:285, iter:  71,400, lr:(6.844e-05,)] [eta: 12:24:51, time (data): 0.391 (0.014)] l_pix: 4.0213e-03 
2025-04-24 15:20:41,678 INFO: [train..][epoch:285, iter:  71,500, lr:(6.796e-05,)] [eta: 12:23:35, time (data): 0.392 (0.015)] l_pix: 4.5750e-03 
2025-04-24 15:22:05,066 INFO: Validation FFHQ_val
	 # psnr: 26.3499	Best: 26.3499 @ 71500 iter
	 # niqe: 0.7576	Best: 0.7576 @ 71500 iter

2025-04-24 15:22:45,137 INFO: [train..][epoch:286, iter:  71,600, lr:(6.747e-05,)] [eta: 12:23:51, time (data): 0.388 (0.014)] l_pix: 3.6790e-03 
2025-04-24 15:23:24,250 INFO: [train..][epoch:286, iter:  71,700, lr:(6.697e-05,)] [eta: 12:22:35, time (data): 0.390 (0.014)] l_pix: 3.4689e-03 
2025-04-24 15:24:04,472 INFO: [train..][epoch:287, iter:  71,800, lr:(6.648e-05,)] [eta: 12:21:20, time (data): 0.392 (0.015)] l_pix: 4.8440e-03 
2025-04-24 15:24:43,589 INFO: [train..][epoch:287, iter:  71,900, lr:(6.599e-05,)] [eta: 12:20:04, time (data): 0.391 (0.015)] l_pix: 3.5261e-03 
2025-04-24 15:25:22,777 INFO: [train..][epoch:287, iter:  72,000, lr:(6.549e-05,)] [eta: 12:18:48, time (data): 0.393 (0.015)] l_pix: 3.4529e-03 
2025-04-24 15:26:45,649 INFO: Validation FFHQ_val
	 # psnr: 26.3481	Best: 26.3499 @ 71500 iter
	 # niqe: 0.7577	Best: 0.7577 @ 72000 iter

2025-04-24 15:27:25,879 INFO: [train..][epoch:288, iter:  72,100, lr:(6.499e-05,)] [eta: 12:19:02, time (data): 0.399 (0.022)] l_pix: 4.3165e-03 
2025-04-24 15:28:04,979 INFO: [train..][epoch:288, iter:  72,200, lr:(6.449e-05,)] [eta: 12:17:46, time (data): 0.392 (0.014)] l_pix: 3.2055e-03 
2025-04-24 15:28:45,320 INFO: [train..][epoch:289, iter:  72,300, lr:(6.399e-05,)] [eta: 12:16:32, time (data): 0.400 (0.023)] l_pix: 2.9539e-03 
2025-04-24 15:29:24,594 INFO: [train..][epoch:289, iter:  72,400, lr:(6.349e-05,)] [eta: 12:15:16, time (data): 0.393 (0.015)] l_pix: 3.8156e-03 
2025-04-24 15:30:03,637 INFO: [train..][epoch:289, iter:  72,500, lr:(6.298e-05,)] [eta: 12:14:00, time (data): 0.391 (0.015)] l_pix: 2.9082e-03 
2025-04-24 15:31:25,652 INFO: Validation FFHQ_val
	 # psnr: 26.3539	Best: 26.3539 @ 72500 iter
	 # niqe: 0.7577	Best: 0.7577 @ 72500 iter

2025-04-24 15:32:05,870 INFO: [train..][epoch:290, iter:  72,600, lr:(6.248e-05,)] [eta: 12:14:13, time (data): 0.392 (0.014)] l_pix: 4.2831e-03 
2025-04-24 15:32:45,106 INFO: [train..][epoch:290, iter:  72,700, lr:(6.197e-05,)] [eta: 12:12:57, time (data): 0.392 (0.015)] l_pix: 3.8200e-03 
2025-04-24 15:33:25,508 INFO: [train..][epoch:291, iter:  72,800, lr:(6.146e-05,)] [eta: 12:11:43, time (data): 0.391 (0.015)] l_pix: 3.5292e-03 
2025-04-24 15:34:04,558 INFO: [train..][epoch:291, iter:  72,900, lr:(6.095e-05,)] [eta: 12:10:27, time (data): 0.391 (0.015)] l_pix: 2.9225e-03 
2025-04-24 15:34:43,673 INFO: [train..][epoch:291, iter:  73,000, lr:(6.044e-05,)] [eta: 12:09:12, time (data): 0.390 (0.015)] l_pix: 3.8965e-03 
2025-04-24 15:36:06,762 INFO: Validation FFHQ_val
	 # psnr: 26.3616	Best: 26.3616 @ 73000 iter
	 # niqe: 0.7578	Best: 0.7578 @ 73000 iter

2025-04-24 15:36:46,966 INFO: [train..][epoch:292, iter:  73,100, lr:(5.993e-05,)] [eta: 12:09:25, time (data): 0.399 (0.023)] l_pix: 3.6096e-03 
2025-04-24 15:37:26,000 INFO: [train..][epoch:292, iter:  73,200, lr:(5.941e-05,)] [eta: 12:08:09, time (data): 0.391 (0.015)] l_pix: 4.0992e-03 
2025-04-24 15:38:06,139 INFO: [train..][epoch:293, iter:  73,300, lr:(5.890e-05,)] [eta: 12:06:55, time (data): 0.399 (0.023)] l_pix: 3.3813e-03 
2025-04-24 15:38:45,314 INFO: [train..][epoch:293, iter:  73,400, lr:(5.839e-05,)] [eta: 12:05:39, time (data): 0.391 (0.015)] l_pix: 3.6324e-03 
2025-04-24 15:39:24,419 INFO: [train..][epoch:293, iter:  73,500, lr:(5.787e-05,)] [eta: 12:04:24, time (data): 0.391 (0.015)] l_pix: 3.4072e-03 
2025-04-24 15:40:46,687 INFO: Validation FFHQ_val
	 # psnr: 26.3631	Best: 26.3631 @ 73500 iter
	 # niqe: 0.7578	Best: 0.7578 @ 73500 iter

2025-04-24 15:41:27,117 INFO: [train..][epoch:294, iter:  73,600, lr:(5.735e-05,)] [eta: 12:04:36, time (data): 0.392 (0.015)] l_pix: 3.2778e-03 
2025-04-24 15:42:06,072 INFO: [train..][epoch:294, iter:  73,700, lr:(5.683e-05,)] [eta: 12:03:20, time (data): 0.390 (0.015)] l_pix: 4.1751e-03 
2025-04-24 15:42:46,512 INFO: [train..][epoch:295, iter:  73,800, lr:(5.632e-05,)] [eta: 12:02:06, time (data): 0.394 (0.015)] l_pix: 3.6978e-03 
2025-04-24 15:43:25,602 INFO: [train..][epoch:295, iter:  73,900, lr:(5.580e-05,)] [eta: 12:00:51, time (data): 0.392 (0.015)] l_pix: 3.6962e-03 
2025-04-24 15:44:04,730 INFO: [train..][epoch:295, iter:  74,000, lr:(5.528e-05,)] [eta: 11:59:36, time (data): 0.393 (0.014)] l_pix: 4.4952e-03 
2025-04-24 15:45:29,770 INFO: Validation FFHQ_val
	 # psnr: 26.3617	Best: 26.3631 @ 73500 iter
	 # niqe: 0.7579	Best: 0.7579 @ 74000 iter

2025-04-24 15:46:09,893 INFO: [train..][epoch:296, iter:  74,100, lr:(5.476e-05,)] [eta: 11:59:49, time (data): 0.399 (0.022)] l_pix: 3.6788e-03 
2025-04-24 15:46:48,889 INFO: [train..][epoch:296, iter:  74,200, lr:(5.423e-05,)] [eta: 11:58:34, time (data): 0.390 (0.014)] l_pix: 3.7069e-03 
2025-04-24 15:47:29,031 INFO: [train..][epoch:297, iter:  74,300, lr:(5.371e-05,)] [eta: 11:57:20, time (data): 0.399 (0.023)] l_pix: 3.7998e-03 
2025-04-24 15:48:08,193 INFO: [train..][epoch:297, iter:  74,400, lr:(5.319e-05,)] [eta: 11:56:05, time (data): 0.389 (0.015)] l_pix: 3.6953e-03 
2025-04-24 15:48:47,461 INFO: [train..][epoch:297, iter:  74,500, lr:(5.267e-05,)] [eta: 11:54:51, time (data): 0.392 (0.015)] l_pix: 3.8535e-03 
2025-04-24 15:50:10,806 INFO: Validation FFHQ_val
	 # psnr: 26.3665	Best: 26.3665 @ 74500 iter
	 # niqe: 0.7579	Best: 0.7579 @ 74500 iter

2025-04-24 15:50:51,059 INFO: [train..][epoch:298, iter:  74,600, lr:(5.215e-05,)] [eta: 11:55:01, time (data): 0.390 (0.014)] l_pix: 3.3341e-03 
2025-04-24 15:51:30,113 INFO: [train..][epoch:298, iter:  74,700, lr:(5.162e-05,)] [eta: 11:53:46, time (data): 0.390 (0.014)] l_pix: 3.1626e-03 
2025-04-24 15:52:10,395 INFO: [train..][epoch:299, iter:  74,800, lr:(5.110e-05,)] [eta: 11:52:33, time (data): 0.392 (0.015)] l_pix: 2.9001e-03 
2025-04-24 15:52:49,573 INFO: [train..][epoch:299, iter:  74,900, lr:(5.058e-05,)] [eta: 11:51:18, time (data): 0.392 (0.015)] l_pix: 3.5188e-03 
2025-04-24 15:53:28,604 INFO: [train..][epoch:299, iter:  75,000, lr:(5.006e-05,)] [eta: 11:50:04, time (data): 0.387 (0.014)] l_pix: 4.0143e-03 
2025-04-24 15:53:28,605 INFO: Saving models and training states.
2025-04-24 15:54:54,735 INFO: Validation FFHQ_val
	 # psnr: 26.3685	Best: 26.3685 @ 75000 iter
	 # niqe: 0.7580	Best: 0.7580 @ 75000 iter

2025-04-24 15:55:34,863 INFO: [train..][epoch:300, iter:  75,100, lr:(4.953e-05,)] [eta: 11:50:16, time (data): 0.398 (0.023)] l_pix: 3.6863e-03 
2025-04-24 15:56:13,945 INFO: [train..][epoch:300, iter:  75,200, lr:(4.901e-05,)] [eta: 11:49:01, time (data): 0.391 (0.015)] l_pix: 3.6635e-03 
2025-04-24 15:56:54,194 INFO: [train..][epoch:301, iter:  75,300, lr:(4.849e-05,)] [eta: 11:47:48, time (data): 0.400 (0.023)] l_pix: 4.5007e-03 
2025-04-24 15:57:33,421 INFO: [train..][epoch:301, iter:  75,400, lr:(4.796e-05,)] [eta: 11:46:34, time (data): 0.390 (0.015)] l_pix: 3.1582e-03 
2025-04-24 15:58:12,544 INFO: [train..][epoch:301, iter:  75,500, lr:(4.744e-05,)] [eta: 11:45:20, time (data): 0.391 (0.015)] l_pix: 4.2358e-03 
2025-04-24 15:59:38,266 INFO: Validation FFHQ_val
	 # psnr: 26.3713	Best: 26.3713 @ 75500 iter
	 # niqe: 0.7580	Best: 0.7580 @ 75500 iter

2025-04-24 16:00:18,400 INFO: [train..][epoch:302, iter:  75,600, lr:(4.692e-05,)] [eta: 11:45:31, time (data): 0.391 (0.014)] l_pix: 3.8217e-03 
2025-04-24 16:00:57,557 INFO: [train..][epoch:302, iter:  75,700, lr:(4.640e-05,)] [eta: 11:44:16, time (data): 0.391 (0.015)] l_pix: 4.5628e-03 
2025-04-24 16:01:37,865 INFO: [train..][epoch:303, iter:  75,800, lr:(4.588e-05,)] [eta: 11:43:03, time (data): 0.391 (0.015)] l_pix: 4.2087e-03 
2025-04-24 16:02:16,984 INFO: [train..][epoch:303, iter:  75,900, lr:(4.535e-05,)] [eta: 11:41:49, time (data): 0.391 (0.015)] l_pix: 5.0688e-03 
2025-04-24 16:02:55,990 INFO: [train..][epoch:303, iter:  76,000, lr:(4.483e-05,)] [eta: 11:40:35, time (data): 0.390 (0.014)] l_pix: 3.7027e-03 
2025-04-24 16:04:20,753 INFO: Validation FFHQ_val
	 # psnr: 26.3720	Best: 26.3720 @ 76000 iter
	 # niqe: 0.7581	Best: 0.7581 @ 76000 iter

2025-04-24 16:05:01,011 INFO: [train..][epoch:304, iter:  76,100, lr:(4.431e-05,)] [eta: 11:40:44, time (data): 0.400 (0.024)] l_pix: 4.0474e-03 
2025-04-24 16:05:40,171 INFO: [train..][epoch:304, iter:  76,200, lr:(4.379e-05,)] [eta: 11:39:30, time (data): 0.390 (0.014)] l_pix: 3.5211e-03 
2025-04-24 16:06:20,545 INFO: [train..][epoch:305, iter:  76,300, lr:(4.328e-05,)] [eta: 11:38:17, time (data): 0.401 (0.024)] l_pix: 4.5853e-03 
2025-04-24 16:06:59,594 INFO: [train..][epoch:305, iter:  76,400, lr:(4.276e-05,)] [eta: 11:37:03, time (data): 0.387 (0.015)] l_pix: 3.4504e-03 
2025-04-24 16:07:38,785 INFO: [train..][epoch:305, iter:  76,500, lr:(4.224e-05,)] [eta: 11:35:50, time (data): 0.391 (0.015)] l_pix: 3.4725e-03 
2025-04-24 16:09:02,964 INFO: Validation FFHQ_val
	 # psnr: 26.3726	Best: 26.3726 @ 76500 iter
	 # niqe: 0.7581	Best: 0.7581 @ 76500 iter

2025-04-24 16:09:43,392 INFO: [train..][epoch:306, iter:  76,600, lr:(4.173e-05,)] [eta: 11:35:58, time (data): 0.390 (0.015)] l_pix: 4.2145e-03 
2025-04-24 16:10:22,475 INFO: [train..][epoch:306, iter:  76,700, lr:(4.121e-05,)] [eta: 11:34:44, time (data): 0.391 (0.015)] l_pix: 2.5631e-03 
2025-04-24 16:11:02,803 INFO: [train..][epoch:307, iter:  76,800, lr:(4.070e-05,)] [eta: 11:33:31, time (data): 0.393 (0.015)] l_pix: 3.1119e-03 
2025-04-24 16:11:41,898 INFO: [train..][epoch:307, iter:  76,900, lr:(4.018e-05,)] [eta: 11:32:18, time (data): 0.391 (0.015)] l_pix: 3.7092e-03 
2025-04-24 16:12:20,972 INFO: [train..][epoch:307, iter:  77,000, lr:(3.967e-05,)] [eta: 11:31:04, time (data): 0.391 (0.014)] l_pix: 4.1992e-03 
2025-04-24 16:13:44,585 INFO: Validation FFHQ_val
	 # psnr: 26.3856	Best: 26.3856 @ 77000 iter
	 # niqe: 0.7582	Best: 0.7582 @ 77000 iter

2025-04-24 16:14:24,567 INFO: [train..][epoch:308, iter:  77,100, lr:(3.916e-05,)] [eta: 11:31:10, time (data): 0.399 (0.023)] l_pix: 3.1212e-03 
2025-04-24 16:15:03,646 INFO: [train..][epoch:308, iter:  77,200, lr:(3.865e-05,)] [eta: 11:29:57, time (data): 0.392 (0.014)] l_pix: 3.5057e-03 
2025-04-24 16:15:43,784 INFO: [train..][epoch:309, iter:  77,300, lr:(3.814e-05,)] [eta: 11:28:44, time (data): 0.400 (0.023)] l_pix: 3.7350e-03 
2025-04-24 16:16:22,928 INFO: [train..][epoch:309, iter:  77,400, lr:(3.763e-05,)] [eta: 11:27:31, time (data): 0.393 (0.015)] l_pix: 3.0347e-03 
2025-04-24 16:17:01,891 INFO: [train..][epoch:309, iter:  77,500, lr:(3.713e-05,)] [eta: 11:26:17, time (data): 0.390 (0.015)] l_pix: 4.4625e-03 
2025-04-24 16:18:26,617 INFO: Validation FFHQ_val
	 # psnr: 26.3867	Best: 26.3867 @ 77500 iter
	 # niqe: 0.7582	Best: 0.7582 @ 77500 iter

2025-04-24 16:19:06,992 INFO: [train..][epoch:310, iter:  77,600, lr:(3.662e-05,)] [eta: 11:26:24, time (data): 0.394 (0.015)] l_pix: 3.2533e-03 
2025-04-24 16:19:46,100 INFO: [train..][epoch:310, iter:  77,700, lr:(3.612e-05,)] [eta: 11:25:11, time (data): 0.391 (0.015)] l_pix: 3.8883e-03 
2025-04-24 16:20:26,227 INFO: [train..][epoch:311, iter:  77,800, lr:(3.562e-05,)] [eta: 11:23:58, time (data): 0.397 (0.015)] l_pix: 4.0369e-03 
2025-04-24 16:21:05,449 INFO: [train..][epoch:311, iter:  77,900, lr:(3.512e-05,)] [eta: 11:22:45, time (data): 0.393 (0.015)] l_pix: 3.8806e-03 
2025-04-24 16:21:44,739 INFO: [train..][epoch:311, iter:  78,000, lr:(3.462e-05,)] [eta: 11:21:32, time (data): 0.390 (0.014)] l_pix: 2.9179e-03 
2025-04-24 16:23:07,729 INFO: Validation FFHQ_val
	 # psnr: 26.3855	Best: 26.3867 @ 77500 iter
	 # niqe: 0.7583	Best: 0.7583 @ 78000 iter

2025-04-24 16:23:47,831 INFO: [train..][epoch:312, iter:  78,100, lr:(3.412e-05,)] [eta: 11:21:36, time (data): 0.400 (0.024)] l_pix: 3.5986e-03 
2025-04-24 16:24:27,033 INFO: [train..][epoch:312, iter:  78,200, lr:(3.363e-05,)] [eta: 11:20:23, time (data): 0.388 (0.015)] l_pix: 3.5010e-03 
2025-04-24 16:25:07,366 INFO: [train..][epoch:313, iter:  78,300, lr:(3.313e-05,)] [eta: 11:19:11, time (data): 0.402 (0.025)] l_pix: 3.1546e-03 
2025-04-24 16:25:46,518 INFO: [train..][epoch:313, iter:  78,400, lr:(3.264e-05,)] [eta: 11:17:58, time (data): 0.392 (0.014)] l_pix: 4.0387e-03 
2025-04-24 16:26:25,622 INFO: [train..][epoch:313, iter:  78,500, lr:(3.215e-05,)] [eta: 11:16:45, time (data): 0.391 (0.015)] l_pix: 4.1868e-03 
2025-04-24 16:27:48,882 INFO: Validation FFHQ_val
	 # psnr: 26.3862	Best: 26.3867 @ 77500 iter
	 # niqe: 0.7583	Best: 0.7583 @ 78500 iter

2025-04-24 16:28:29,183 INFO: [train..][epoch:314, iter:  78,600, lr:(3.167e-05,)] [eta: 11:16:49, time (data): 0.392 (0.015)] l_pix: 2.9641e-03 
2025-04-24 16:29:08,420 INFO: [train..][epoch:314, iter:  78,700, lr:(3.118e-05,)] [eta: 11:15:36, time (data): 0.392 (0.015)] l_pix: 3.1283e-03 
2025-04-24 16:29:48,716 INFO: [train..][epoch:315, iter:  78,800, lr:(3.070e-05,)] [eta: 11:14:24, time (data): 0.390 (0.017)] l_pix: 3.5009e-03 
2025-04-24 16:30:28,048 INFO: [train..][epoch:315, iter:  78,900, lr:(3.022e-05,)] [eta: 11:13:12, time (data): 0.393 (0.015)] l_pix: 4.6350e-03 
2025-04-24 16:31:07,044 INFO: [train..][epoch:315, iter:  79,000, lr:(2.974e-05,)] [eta: 11:11:59, time (data): 0.385 (0.014)] l_pix: 3.0426e-03 
2025-04-24 16:32:31,583 INFO: Validation FFHQ_val
	 # psnr: 26.3896	Best: 26.3896 @ 79000 iter
	 # niqe: 0.7583	Best: 0.7583 @ 79000 iter

2025-04-24 16:33:11,782 INFO: [train..][epoch:316, iter:  79,100, lr:(2.926e-05,)] [eta: 11:12:03, time (data): 0.401 (0.025)] l_pix: 4.1327e-03 
2025-04-24 16:33:51,087 INFO: [train..][epoch:316, iter:  79,200, lr:(2.879e-05,)] [eta: 11:10:51, time (data): 0.393 (0.016)] l_pix: 3.0911e-03 
2025-04-24 16:34:31,428 INFO: [train..][epoch:317, iter:  79,300, lr:(2.831e-05,)] [eta: 11:09:39, time (data): 0.403 (0.025)] l_pix: 3.7463e-03 
2025-04-24 16:35:10,627 INFO: [train..][epoch:317, iter:  79,400, lr:(2.785e-05,)] [eta: 11:08:26, time (data): 0.392 (0.015)] l_pix: 3.6553e-03 
2025-04-24 16:35:49,818 INFO: [train..][epoch:317, iter:  79,500, lr:(2.738e-05,)] [eta: 11:07:14, time (data): 0.392 (0.015)] l_pix: 3.4985e-03 
2025-04-24 16:37:13,965 INFO: Validation FFHQ_val
	 # psnr: 26.3891	Best: 26.3896 @ 79000 iter
	 # niqe: 0.7583	Best: 0.7583 @ 79500 iter

2025-04-24 16:37:54,306 INFO: [train..][epoch:318, iter:  79,600, lr:(2.691e-05,)] [eta: 11:07:17, time (data): 0.390 (0.014)] l_pix: 4.0740e-03 
2025-04-24 16:38:33,433 INFO: [train..][epoch:318, iter:  79,700, lr:(2.645e-05,)] [eta: 11:06:05, time (data): 0.391 (0.015)] l_pix: 4.6817e-03 
2025-04-24 16:39:13,692 INFO: [train..][epoch:319, iter:  79,800, lr:(2.599e-05,)] [eta: 11:04:53, time (data): 0.391 (0.015)] l_pix: 3.2711e-03 
2025-04-24 16:39:53,079 INFO: [train..][epoch:319, iter:  79,900, lr:(2.553e-05,)] [eta: 11:03:41, time (data): 0.394 (0.015)] l_pix: 3.5299e-03 
2025-04-24 16:40:32,460 INFO: [train..][epoch:319, iter:  80,000, lr:(2.508e-05,)] [eta: 11:02:29, time (data): 0.394 (0.014)] l_pix: 3.5156e-03 
2025-04-24 16:40:32,461 INFO: Saving models and training states.
2025-04-24 16:41:58,023 INFO: Validation FFHQ_val
	 # psnr: 26.3966	Best: 26.3966 @ 80000 iter
	 # niqe: 0.7584	Best: 0.7584 @ 80000 iter

2025-04-24 16:42:38,358 INFO: [train..][epoch:320, iter:  80,100, lr:(2.463e-05,)] [eta: 11:02:32, time (data): 0.403 (0.025)] l_pix: 3.2991e-03 
2025-04-24 16:43:17,511 INFO: [train..][epoch:320, iter:  80,200, lr:(2.418e-05,)] [eta: 11:01:20, time (data): 0.421 (0.013)] l_pix: 3.8156e-03 
2025-04-24 16:43:57,751 INFO: [train..][epoch:321, iter:  80,300, lr:(2.373e-05,)] [eta: 11:00:09, time (data): 0.403 (0.025)] l_pix: 3.6237e-03 
2025-04-24 16:44:36,835 INFO: [train..][epoch:321, iter:  80,400, lr:(2.329e-05,)] [eta: 10:58:57, time (data): 0.397 (0.020)] l_pix: 4.0608e-03 
2025-04-24 16:45:16,062 INFO: [train..][epoch:321, iter:  80,500, lr:(2.285e-05,)] [eta: 10:57:45, time (data): 0.392 (0.015)] l_pix: 2.4979e-03 
2025-04-24 16:46:42,220 INFO: Validation FFHQ_val
	 # psnr: 26.3969	Best: 26.3969 @ 80500 iter
	 # niqe: 0.7584	Best: 0.7584 @ 80500 iter

2025-04-24 16:47:22,591 INFO: [train..][epoch:322, iter:  80,600, lr:(2.241e-05,)] [eta: 10:57:48, time (data): 0.398 (0.021)] l_pix: 3.7277e-03 
2025-04-24 16:48:01,631 INFO: [train..][epoch:322, iter:  80,700, lr:(2.198e-05,)] [eta: 10:56:36, time (data): 0.390 (0.014)] l_pix: 3.5628e-03 
2025-04-24 16:48:41,876 INFO: [train..][epoch:323, iter:  80,800, lr:(2.155e-05,)] [eta: 10:55:25, time (data): 0.396 (0.020)] l_pix: 3.7867e-03 
2025-04-24 16:49:21,139 INFO: [train..][epoch:323, iter:  80,900, lr:(2.112e-05,)] [eta: 10:54:13, time (data): 0.392 (0.015)] l_pix: 4.1556e-03 
2025-04-24 16:50:00,204 INFO: [train..][epoch:323, iter:  81,000, lr:(2.069e-05,)] [eta: 10:53:01, time (data): 0.391 (0.015)] l_pix: 3.4725e-03 
2025-04-24 16:51:25,282 INFO: Validation FFHQ_val
	 # psnr: 26.3955	Best: 26.3969 @ 80500 iter
	 # niqe: 0.7584	Best: 0.7584 @ 81000 iter

2025-04-24 16:52:05,383 INFO: [train..][epoch:324, iter:  81,100, lr:(2.027e-05,)] [eta: 10:53:02, time (data): 0.389 (0.014)] l_pix: 4.2888e-03 
2025-04-24 16:52:44,592 INFO: [train..][epoch:324, iter:  81,200, lr:(1.985e-05,)] [eta: 10:51:50, time (data): 0.391 (0.015)] l_pix: 3.3930e-03 
2025-04-24 16:53:24,865 INFO: [train..][epoch:325, iter:  81,300, lr:(1.944e-05,)] [eta: 10:50:40, time (data): 0.403 (0.026)] l_pix: 3.4467e-03 
2025-04-24 16:54:04,096 INFO: [train..][epoch:325, iter:  81,400, lr:(1.903e-05,)] [eta: 10:49:28, time (data): 0.398 (0.020)] l_pix: 3.9229e-03 
2025-04-24 16:54:43,279 INFO: [train..][epoch:325, iter:  81,500, lr:(1.862e-05,)] [eta: 10:48:16, time (data): 0.392 (0.015)] l_pix: 3.3985e-03 
2025-04-24 16:56:08,358 INFO: Validation FFHQ_val
	 # psnr: 26.3933	Best: 26.3969 @ 80500 iter
	 # niqe: 0.7584	Best: 0.7584 @ 81500 iter

2025-04-24 16:56:48,642 INFO: [train..][epoch:326, iter:  81,600, lr:(1.821e-05,)] [eta: 10:48:17, time (data): 0.397 (0.021)] l_pix: 4.1461e-03 
2025-04-24 16:57:27,817 INFO: [train..][epoch:326, iter:  81,700, lr:(1.781e-05,)] [eta: 10:47:05, time (data): 0.392 (0.015)] l_pix: 3.3223e-03 
2025-04-24 16:58:08,162 INFO: [train..][epoch:327, iter:  81,800, lr:(1.742e-05,)] [eta: 10:45:55, time (data): 0.398 (0.021)] l_pix: 3.9642e-03 
2025-04-24 16:58:47,224 INFO: [train..][epoch:327, iter:  81,900, lr:(1.702e-05,)] [eta: 10:44:43, time (data): 0.391 (0.015)] l_pix: 3.4553e-03 
2025-04-24 16:59:26,257 INFO: [train..][epoch:327, iter:  82,000, lr:(1.663e-05,)] [eta: 10:43:32, time (data): 0.391 (0.015)] l_pix: 3.8116e-03 
2025-04-24 17:00:50,896 INFO: Validation FFHQ_val
	 # psnr: 26.3916	Best: 26.3969 @ 80500 iter
	 # niqe: 0.7585	Best: 0.7585 @ 82000 iter

2025-04-24 17:01:31,024 INFO: [train..][epoch:328, iter:  82,100, lr:(1.624e-05,)] [eta: 10:43:31, time (data): 0.390 (0.014)] l_pix: 3.1808e-03 
2025-04-24 17:02:10,059 INFO: [train..][epoch:328, iter:  82,200, lr:(1.586e-05,)] [eta: 10:42:19, time (data): 0.390 (0.014)] l_pix: 3.6525e-03 
2025-04-24 17:02:50,224 INFO: [train..][epoch:329, iter:  82,300, lr:(1.548e-05,)] [eta: 10:41:09, time (data): 0.403 (0.027)] l_pix: 3.7589e-03 
2025-04-24 17:03:29,404 INFO: [train..][epoch:329, iter:  82,400, lr:(1.511e-05,)] [eta: 10:39:58, time (data): 0.397 (0.020)] l_pix: 4.3968e-03 
2025-04-24 17:04:08,706 INFO: [train..][epoch:329, iter:  82,500, lr:(1.473e-05,)] [eta: 10:38:46, time (data): 0.393 (0.015)] l_pix: 2.5255e-03 
2025-04-24 17:05:33,531 INFO: Validation FFHQ_val
	 # psnr: 26.3909	Best: 26.3969 @ 80500 iter
	 # niqe: 0.7585	Best: 0.7585 @ 82500 iter

2025-04-24 17:06:13,731 INFO: [train..][epoch:330, iter:  82,600, lr:(1.437e-05,)] [eta: 10:38:45, time (data): 0.398 (0.021)] l_pix: 2.9750e-03 
2025-04-24 17:06:52,853 INFO: [train..][epoch:330, iter:  82,700, lr:(1.400e-05,)] [eta: 10:37:34, time (data): 0.391 (0.014)] l_pix: 3.8349e-03 
2025-04-24 17:07:33,209 INFO: [train..][epoch:331, iter:  82,800, lr:(1.364e-05,)] [eta: 10:36:24, time (data): 0.398 (0.020)] l_pix: 3.1534e-03 
2025-04-24 17:08:12,462 INFO: [train..][epoch:331, iter:  82,900, lr:(1.329e-05,)] [eta: 10:35:13, time (data): 0.392 (0.015)] l_pix: 4.7867e-03 
2025-04-24 17:08:51,612 INFO: [train..][epoch:331, iter:  83,000, lr:(1.293e-05,)] [eta: 10:34:02, time (data): 0.392 (0.015)] l_pix: 3.5217e-03 
2025-04-24 17:10:17,225 INFO: Validation FFHQ_val
	 # psnr: 26.3928	Best: 26.3969 @ 80500 iter
	 # niqe: 0.7585	Best: 0.7585 @ 83000 iter

2025-04-24 17:10:57,601 INFO: [train..][epoch:332, iter:  83,100, lr:(1.259e-05,)] [eta: 10:34:01, time (data): 0.391 (0.014)] l_pix: 3.9319e-03 
2025-04-24 17:11:36,665 INFO: [train..][epoch:332, iter:  83,200, lr:(1.224e-05,)] [eta: 10:32:50, time (data): 0.391 (0.015)] l_pix: 3.0922e-03 
2025-04-24 17:12:16,856 INFO: [train..][epoch:333, iter:  83,300, lr:(1.190e-05,)] [eta: 10:31:39, time (data): 0.403 (0.028)] l_pix: 3.6819e-03 
2025-04-24 17:12:56,071 INFO: [train..][epoch:333, iter:  83,400, lr:(1.157e-05,)] [eta: 10:30:29, time (data): 0.397 (0.021)] l_pix: 3.6147e-03 
2025-04-24 17:13:35,330 INFO: [train..][epoch:333, iter:  83,500, lr:(1.123e-05,)] [eta: 10:29:18, time (data): 0.392 (0.015)] l_pix: 3.9424e-03 
2025-04-24 17:15:02,148 INFO: Validation FFHQ_val
	 # psnr: 26.3994	Best: 26.3994 @ 83500 iter
	 # niqe: 0.7585	Best: 0.7585 @ 83500 iter

2025-04-24 17:15:42,205 INFO: [train..][epoch:334, iter:  83,600, lr:(1.091e-05,)] [eta: 10:29:17, time (data): 0.397 (0.021)] l_pix: 3.7395e-03 
2025-04-24 17:16:21,220 INFO: [train..][epoch:334, iter:  83,700, lr:(1.058e-05,)] [eta: 10:28:06, time (data): 0.390 (0.015)] l_pix: 3.5756e-03 
2025-04-24 17:17:01,272 INFO: [train..][epoch:335, iter:  83,800, lr:(1.027e-05,)] [eta: 10:26:56, time (data): 0.396 (0.021)] l_pix: 3.3778e-03 
2025-04-24 17:17:40,425 INFO: [train..][epoch:335, iter:  83,900, lr:(9.952e-06,)] [eta: 10:25:45, time (data): 0.392 (0.014)] l_pix: 3.2261e-03 
2025-04-24 17:18:19,550 INFO: [train..][epoch:335, iter:  84,000, lr:(9.643e-06,)] [eta: 10:24:34, time (data): 0.391 (0.014)] l_pix: 3.5078e-03 
2025-04-24 17:19:45,874 INFO: Validation FFHQ_val
	 # psnr: 26.3987	Best: 26.3994 @ 83500 iter
	 # niqe: 0.7585	Best: 0.7585 @ 84000 iter

2025-04-24 17:20:26,283 INFO: [train..][epoch:336, iter:  84,100, lr:(9.337e-06,)] [eta: 10:24:32, time (data): 0.392 (0.015)] l_pix: 3.7516e-03 
2025-04-24 17:21:05,283 INFO: [train..][epoch:336, iter:  84,200, lr:(9.037e-06,)] [eta: 10:23:21, time (data): 0.391 (0.014)] l_pix: 3.1705e-03 
2025-04-24 17:21:45,499 INFO: [train..][epoch:337, iter:  84,300, lr:(8.740e-06,)] [eta: 10:22:11, time (data): 0.405 (0.028)] l_pix: 3.3691e-03 
2025-04-24 17:22:24,672 INFO: [train..][epoch:337, iter:  84,400, lr:(8.448e-06,)] [eta: 10:21:01, time (data): 0.398 (0.020)] l_pix: 4.5534e-03 
2025-04-24 17:23:03,854 INFO: [train..][epoch:337, iter:  84,500, lr:(8.161e-06,)] [eta: 10:19:50, time (data): 0.392 (0.015)] l_pix: 4.0301e-03 
2025-04-24 17:24:31,051 INFO: Validation FFHQ_val
	 # psnr: 26.4009	Best: 26.4009 @ 84500 iter
	 # niqe: 0.7586	Best: 0.7586 @ 84500 iter

2025-04-24 17:25:11,539 INFO: [train..][epoch:338, iter:  84,600, lr:(7.879e-06,)] [eta: 10:19:49, time (data): 0.399 (0.021)] l_pix: 3.0523e-03 
2025-04-24 17:25:50,603 INFO: [train..][epoch:338, iter:  84,700, lr:(7.601e-06,)] [eta: 10:18:38, time (data): 0.391 (0.015)] l_pix: 3.4858e-03 
2025-04-24 17:26:30,851 INFO: [train..][epoch:339, iter:  84,800, lr:(7.327e-06,)] [eta: 10:17:28, time (data): 0.397 (0.021)] l_pix: 3.2963e-03 
2025-04-24 17:27:10,013 INFO: [train..][epoch:339, iter:  84,900, lr:(7.059e-06,)] [eta: 10:16:18, time (data): 0.390 (0.015)] l_pix: 3.4519e-03 
2025-04-24 17:27:49,101 INFO: [train..][epoch:339, iter:  85,000, lr:(6.795e-06,)] [eta: 10:15:08, time (data): 0.391 (0.015)] l_pix: 3.2908e-03 
2025-04-24 17:27:49,102 INFO: Saving models and training states.
2025-04-24 17:29:16,270 INFO: Validation FFHQ_val
	 # psnr: 26.3989	Best: 26.4009 @ 84500 iter
	 # niqe: 0.7585	Best: 0.7586 @ 84500 iter

2025-04-24 17:29:56,620 INFO: [train..][epoch:340, iter:  85,100, lr:(6.535e-06,)] [eta: 10:15:05, time (data): 0.391 (0.015)] l_pix: 4.3914e-03 
2025-04-24 17:30:35,831 INFO: [train..][epoch:340, iter:  85,200, lr:(6.281e-06,)] [eta: 10:13:54, time (data): 0.392 (0.015)] l_pix: 3.6388e-03 
2025-04-24 17:31:16,156 INFO: [train..][epoch:341, iter:  85,300, lr:(6.031e-06,)] [eta: 10:12:45, time (data): 0.406 (0.030)] l_pix: 3.5154e-03 
2025-04-24 17:31:55,412 INFO: [train..][epoch:341, iter:  85,400, lr:(5.787e-06,)] [eta: 10:11:35, time (data): 0.398 (0.021)] l_pix: 3.6851e-03 
2025-04-24 17:32:34,614 INFO: [train..][epoch:341, iter:  85,500, lr:(5.547e-06,)] [eta: 10:10:25, time (data): 0.392 (0.015)] l_pix: 3.6081e-03 
2025-04-24 17:33:59,170 INFO: Validation FFHQ_val
	 # psnr: 26.3981	Best: 26.4009 @ 84500 iter
	 # niqe: 0.7585	Best: 0.7586 @ 84500 iter

2025-04-24 17:34:39,489 INFO: [train..][epoch:342, iter:  85,600, lr:(5.312e-06,)] [eta: 10:10:19, time (data): 0.398 (0.021)] l_pix: 4.4907e-03 
2025-04-24 17:35:18,588 INFO: [train..][epoch:342, iter:  85,700, lr:(5.081e-06,)] [eta: 10:09:09, time (data): 0.391 (0.015)] l_pix: 3.9045e-03 
2025-04-24 17:35:59,116 INFO: [train..][epoch:343, iter:  85,800, lr:(4.856e-06,)] [eta: 10:08:00, time (data): 0.399 (0.021)] l_pix: 3.2592e-03 
2025-04-24 17:36:38,186 INFO: [train..][epoch:343, iter:  85,900, lr:(4.636e-06,)] [eta: 10:06:50, time (data): 0.392 (0.015)] l_pix: 3.7312e-03 
2025-04-24 17:37:17,453 INFO: [train..][epoch:343, iter:  86,000, lr:(4.421e-06,)] [eta: 10:05:40, time (data): 0.392 (0.015)] l_pix: 3.5160e-03 
2025-04-24 17:38:41,965 INFO: Validation FFHQ_val
	 # psnr: 26.3987	Best: 26.4009 @ 84500 iter
	 # niqe: 0.7585	Best: 0.7586 @ 84500 iter

2025-04-24 17:39:22,324 INFO: [train..][epoch:344, iter:  86,100, lr:(4.210e-06,)] [eta: 10:05:34, time (data): 0.391 (0.016)] l_pix: 3.2588e-03 
2025-04-24 17:40:01,401 INFO: [train..][epoch:344, iter:  86,200, lr:(4.005e-06,)] [eta: 10:04:24, time (data): 0.391 (0.015)] l_pix: 3.0231e-03 
2025-04-24 17:40:41,576 INFO: [train..][epoch:345, iter:  86,300, lr:(3.805e-06,)] [eta: 10:03:15, time (data): 0.407 (0.030)] l_pix: 3.4869e-03 
2025-04-24 17:41:20,853 INFO: [train..][epoch:345, iter:  86,400, lr:(3.610e-06,)] [eta: 10:02:05, time (data): 0.399 (0.021)] l_pix: 3.8249e-03 
2025-04-24 17:42:00,107 INFO: [train..][epoch:345, iter:  86,500, lr:(3.420e-06,)] [eta: 10:00:55, time (data): 0.393 (0.015)] l_pix: 2.7529e-03 
2025-04-24 17:43:24,571 INFO: Validation FFHQ_val
	 # psnr: 26.4017	Best: 26.4017 @ 86500 iter
	 # niqe: 0.7586	Best: 0.7586 @ 86500 iter

2025-04-24 17:44:04,853 INFO: [train..][epoch:346, iter:  86,600, lr:(3.235e-06,)] [eta: 10:00:48, time (data): 0.399 (0.021)] l_pix: 4.3108e-03 
2025-04-24 17:44:44,109 INFO: [train..][epoch:346, iter:  86,700, lr:(3.055e-06,)] [eta: 9:59:39, time (data): 0.392 (0.015)] l_pix: 3.0652e-03 
2025-04-24 17:45:24,280 INFO: [train..][epoch:347, iter:  86,800, lr:(2.880e-06,)] [eta: 9:58:30, time (data): 0.398 (0.021)] l_pix: 3.3439e-03 
2025-04-24 17:46:03,480 INFO: [train..][epoch:347, iter:  86,900, lr:(2.711e-06,)] [eta: 9:57:20, time (data): 0.392 (0.014)] l_pix: 3.0974e-03 
2025-04-24 17:46:42,533 INFO: [train..][epoch:347, iter:  87,000, lr:(2.546e-06,)] [eta: 9:56:10, time (data): 0.391 (0.015)] l_pix: 2.5392e-03 
2025-04-24 17:48:07,060 INFO: Validation FFHQ_val
	 # psnr: 26.4021	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 87000 iter

2025-04-24 17:48:47,323 INFO: [train..][epoch:348, iter:  87,100, lr:(2.387e-06,)] [eta: 9:56:03, time (data): 0.391 (0.015)] l_pix: 2.9144e-03 
2025-04-24 17:49:26,391 INFO: [train..][epoch:348, iter:  87,200, lr:(2.233e-06,)] [eta: 9:54:53, time (data): 0.391 (0.015)] l_pix: 2.7184e-03 
2025-04-24 17:50:06,760 INFO: [train..][epoch:349, iter:  87,300, lr:(2.085e-06,)] [eta: 9:53:44, time (data): 0.411 (0.032)] l_pix: 4.3448e-03 
2025-04-24 17:50:45,856 INFO: [train..][epoch:349, iter:  87,400, lr:(1.941e-06,)] [eta: 9:52:35, time (data): 0.399 (0.022)] l_pix: 4.9453e-03 
2025-04-24 17:51:24,989 INFO: [train..][epoch:349, iter:  87,500, lr:(1.803e-06,)] [eta: 9:51:25, time (data): 0.390 (0.015)] l_pix: 3.1120e-03 
2025-04-24 17:52:49,875 INFO: Validation FFHQ_val
	 # psnr: 26.4010	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 87000 iter

2025-04-24 17:53:30,175 INFO: [train..][epoch:350, iter:  87,600, lr:(1.671e-06,)] [eta: 9:51:17, time (data): 0.398 (0.021)] l_pix: 3.3963e-03 
2025-04-24 17:54:09,309 INFO: [train..][epoch:350, iter:  87,700, lr:(1.543e-06,)] [eta: 9:50:08, time (data): 0.390 (0.014)] l_pix: 4.2633e-03 
2025-04-24 17:54:49,551 INFO: [train..][epoch:351, iter:  87,800, lr:(1.421e-06,)] [eta: 9:48:59, time (data): 0.398 (0.021)] l_pix: 3.9749e-03 
2025-04-24 17:55:28,665 INFO: [train..][epoch:351, iter:  87,900, lr:(1.304e-06,)] [eta: 9:47:50, time (data): 0.390 (0.015)] l_pix: 3.6541e-03 
2025-04-24 17:56:07,858 INFO: [train..][epoch:351, iter:  88,000, lr:(1.193e-06,)] [eta: 9:46:41, time (data): 0.391 (0.015)] l_pix: 3.2195e-03 
2025-04-24 17:57:33,537 INFO: Validation FFHQ_val
	 # psnr: 26.3999	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 87000 iter

2025-04-24 17:58:14,045 INFO: [train..][epoch:352, iter:  88,100, lr:(1.086e-06,)] [eta: 9:46:33, time (data): 0.394 (0.015)] l_pix: 3.6279e-03 
2025-04-24 17:58:53,250 INFO: [train..][epoch:352, iter:  88,200, lr:(9.857e-07,)] [eta: 9:45:24, time (data): 0.393 (0.015)] l_pix: 3.8301e-03 
2025-04-24 17:59:33,486 INFO: [train..][epoch:353, iter:  88,300, lr:(8.904e-07,)] [eta: 9:44:15, time (data): 0.410 (0.034)] l_pix: 3.4996e-03 
2025-04-24 18:00:12,549 INFO: [train..][epoch:353, iter:  88,400, lr:(8.004e-07,)] [eta: 9:43:06, time (data): 0.398 (0.022)] l_pix: 3.3195e-03 
2025-04-24 18:00:51,816 INFO: [train..][epoch:353, iter:  88,500, lr:(7.158e-07,)] [eta: 9:41:57, time (data): 0.392 (0.015)] l_pix: 3.3915e-03 
2025-04-24 18:02:16,004 INFO: Validation FFHQ_val
	 # psnr: 26.3973	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 87000 iter

2025-04-24 18:02:56,402 INFO: [train..][epoch:354, iter:  88,600, lr:(6.366e-07,)] [eta: 9:41:47, time (data): 0.399 (0.022)] l_pix: 3.4532e-03 
2025-04-24 18:03:35,543 INFO: [train..][epoch:354, iter:  88,700, lr:(5.629e-07,)] [eta: 9:40:38, time (data): 0.390 (0.015)] l_pix: 4.3182e-03 
2025-04-24 18:04:15,667 INFO: [train..][epoch:355, iter:  88,800, lr:(4.945e-07,)] [eta: 9:39:30, time (data): 0.397 (0.022)] l_pix: 4.1012e-03 
2025-04-24 18:04:54,845 INFO: [train..][epoch:355, iter:  88,900, lr:(4.316e-07,)] [eta: 9:38:21, time (data): 0.391 (0.015)] l_pix: 3.3152e-03 
2025-04-24 18:05:34,146 INFO: [train..][epoch:355, iter:  89,000, lr:(3.742e-07,)] [eta: 9:37:12, time (data): 0.392 (0.015)] l_pix: 3.8589e-03 
2025-04-24 18:06:58,421 INFO: Validation FFHQ_val
	 # psnr: 26.3931	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7585	Best: 0.7586 @ 87000 iter

2025-04-24 18:07:38,530 INFO: [train..][epoch:356, iter:  89,100, lr:(3.222e-07,)] [eta: 9:37:01, time (data): 0.389 (0.015)] l_pix: 4.2588e-03 
2025-04-24 18:08:17,689 INFO: [train..][epoch:356, iter:  89,200, lr:(2.756e-07,)] [eta: 9:35:53, time (data): 0.391 (0.015)] l_pix: 3.1761e-03 
2025-04-24 18:08:57,901 INFO: [train..][epoch:357, iter:  89,300, lr:(2.345e-07,)] [eta: 9:34:44, time (data): 0.412 (0.035)] l_pix: 2.9202e-03 
2025-04-24 18:09:37,256 INFO: [train..][epoch:357, iter:  89,400, lr:(1.989e-07,)] [eta: 9:33:36, time (data): 0.400 (0.022)] l_pix: 3.4557e-03 
2025-04-24 18:10:16,215 INFO: [train..][epoch:357, iter:  89,500, lr:(1.687e-07,)] [eta: 9:32:27, time (data): 0.390 (0.014)] l_pix: 3.4429e-03 
2025-04-24 18:11:39,201 INFO: Validation FFHQ_val
	 # psnr: 26.3956	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 87000 iter

2025-04-24 18:12:19,387 INFO: [train..][epoch:358, iter:  89,600, lr:(1.440e-07,)] [eta: 9:32:15, time (data): 0.398 (0.022)] l_pix: 3.0491e-03 
2025-04-24 18:12:58,519 INFO: [train..][epoch:358, iter:  89,700, lr:(1.248e-07,)] [eta: 9:31:06, time (data): 0.393 (0.015)] l_pix: 4.4851e-03 
2025-04-24 18:13:38,912 INFO: [train..][epoch:359, iter:  89,800, lr:(1.111e-07,)] [eta: 9:29:58, time (data): 0.400 (0.022)] l_pix: 3.2315e-03 
2025-04-24 18:14:18,198 INFO: [train..][epoch:359, iter:  89,900, lr:(1.028e-07,)] [eta: 9:28:50, time (data): 0.392 (0.015)] l_pix: 4.1259e-03 
2025-04-24 18:14:57,142 INFO: [train..][epoch:359, iter:  90,000, lr:(1.000e-07,)] [eta: 9:27:41, time (data): 0.390 (0.015)] l_pix: 3.5605e-03 
2025-04-24 18:14:57,143 INFO: Saving models and training states.
2025-04-24 18:16:21,192 INFO: Validation FFHQ_val
	 # psnr: 26.3975	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 87000 iter

2025-04-24 18:17:01,627 INFO: [train..][epoch:360, iter:  90,100, lr:(1.000e-04,)] [eta: 9:27:29, time (data): 0.393 (0.014)] l_pix: 2.4966e-03 
2025-04-24 18:17:40,824 INFO: [train..][epoch:360, iter:  90,200, lr:(9.999e-05,)] [eta: 9:26:21, time (data): 0.392 (0.015)] l_pix: 3.2224e-03 
2025-04-24 18:18:21,181 INFO: [train..][epoch:361, iter:  90,300, lr:(9.998e-05,)] [eta: 9:25:13, time (data): 0.414 (0.036)] l_pix: 3.8219e-03 
2025-04-24 18:19:00,453 INFO: [train..][epoch:361, iter:  90,400, lr:(9.996e-05,)] [eta: 9:24:05, time (data): 0.400 (0.022)] l_pix: 3.5768e-03 
2025-04-24 18:19:39,466 INFO: [train..][epoch:361, iter:  90,500, lr:(9.993e-05,)] [eta: 9:22:56, time (data): 0.391 (0.014)] l_pix: 4.5183e-03 
2025-04-24 18:21:02,676 INFO: Validation FFHQ_val
	 # psnr: 26.3824	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7585	Best: 0.7586 @ 87000 iter

2025-04-24 18:21:42,972 INFO: [train..][epoch:362, iter:  90,600, lr:(9.990e-05,)] [eta: 9:22:43, time (data): 0.399 (0.022)] l_pix: 3.3855e-03 
2025-04-24 18:22:22,207 INFO: [train..][epoch:362, iter:  90,700, lr:(9.987e-05,)] [eta: 9:21:35, time (data): 0.393 (0.014)] l_pix: 3.4037e-03 
2025-04-24 18:23:02,514 INFO: [train..][epoch:363, iter:  90,800, lr:(9.983e-05,)] [eta: 9:20:27, time (data): 0.400 (0.022)] l_pix: 3.9605e-03 
2025-04-24 18:23:41,673 INFO: [train..][epoch:363, iter:  90,900, lr:(9.978e-05,)] [eta: 9:19:19, time (data): 0.391 (0.015)] l_pix: 3.3059e-03 
2025-04-24 18:24:20,833 INFO: [train..][epoch:363, iter:  91,000, lr:(9.973e-05,)] [eta: 9:18:11, time (data): 0.392 (0.015)] l_pix: 6.4118e-03 
2025-04-24 18:25:42,534 INFO: Validation FFHQ_val
	 # psnr: 26.3731	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7584	Best: 0.7586 @ 87000 iter

2025-04-24 18:26:22,873 INFO: [train..][epoch:364, iter:  91,100, lr:(9.967e-05,)] [eta: 9:17:56, time (data): 0.392 (0.015)] l_pix: 3.6884e-03 
2025-04-24 18:27:01,916 INFO: [train..][epoch:364, iter:  91,200, lr:(9.961e-05,)] [eta: 9:16:48, time (data): 0.391 (0.014)] l_pix: 2.9152e-03 
2025-04-24 18:27:42,187 INFO: [train..][epoch:365, iter:  91,300, lr:(9.954e-05,)] [eta: 9:15:40, time (data): 0.393 (0.014)] l_pix: 3.1714e-03 
2025-04-24 18:28:21,338 INFO: [train..][epoch:365, iter:  91,400, lr:(9.946e-05,)] [eta: 9:14:32, time (data): 0.392 (0.015)] l_pix: 5.3995e-03 
2025-04-24 18:29:00,246 INFO: [train..][epoch:365, iter:  91,500, lr:(9.939e-05,)] [eta: 9:13:24, time (data): 0.390 (0.015)] l_pix: 4.1580e-03 
2025-04-24 18:30:22,323 INFO: Validation FFHQ_val
	 # psnr: 26.3705	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7584	Best: 0.7586 @ 87000 iter

2025-04-24 18:31:02,620 INFO: [train..][epoch:366, iter:  91,600, lr:(9.930e-05,)] [eta: 9:13:09, time (data): 0.399 (0.022)] l_pix: 3.5085e-03 
2025-04-24 18:31:41,728 INFO: [train..][epoch:366, iter:  91,700, lr:(9.921e-05,)] [eta: 9:12:01, time (data): 0.392 (0.015)] l_pix: 2.7451e-03 
2025-04-24 18:32:22,051 INFO: [train..][epoch:367, iter:  91,800, lr:(9.912e-05,)] [eta: 9:10:54, time (data): 0.400 (0.022)] l_pix: 3.8964e-03 
2025-04-24 18:33:01,254 INFO: [train..][epoch:367, iter:  91,900, lr:(9.902e-05,)] [eta: 9:09:46, time (data): 0.392 (0.014)] l_pix: 3.8132e-03 
2025-04-24 18:33:40,474 INFO: [train..][epoch:367, iter:  92,000, lr:(9.891e-05,)] [eta: 9:08:38, time (data): 0.392 (0.015)] l_pix: 3.4823e-03 
2025-04-24 18:35:02,993 INFO: Validation FFHQ_val
	 # psnr: 26.3680	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7584	Best: 0.7586 @ 87000 iter

2025-04-24 18:35:43,311 INFO: [train..][epoch:368, iter:  92,100, lr:(9.880e-05,)] [eta: 9:08:23, time (data): 0.392 (0.015)] l_pix: 3.3318e-03 
2025-04-24 18:36:22,476 INFO: [train..][epoch:368, iter:  92,200, lr:(9.868e-05,)] [eta: 9:07:15, time (data): 0.392 (0.015)] l_pix: 2.9296e-03 
2025-04-24 18:37:02,645 INFO: [train..][epoch:369, iter:  92,300, lr:(9.856e-05,)] [eta: 9:06:08, time (data): 0.390 (0.015)] l_pix: 4.1137e-03 
2025-04-24 18:37:41,755 INFO: [train..][epoch:369, iter:  92,400, lr:(9.843e-05,)] [eta: 9:05:00, time (data): 0.391 (0.015)] l_pix: 2.9063e-03 
2025-04-24 18:38:21,113 INFO: [train..][epoch:369, iter:  92,500, lr:(9.830e-05,)] [eta: 9:03:52, time (data): 0.392 (0.014)] l_pix: 3.1327e-03 
2025-04-24 18:39:43,527 INFO: Validation FFHQ_val
	 # psnr: 26.3665	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7584	Best: 0.7586 @ 87000 iter

2025-04-24 18:40:23,815 INFO: [train..][epoch:370, iter:  92,600, lr:(9.816e-05,)] [eta: 9:03:36, time (data): 0.400 (0.023)] l_pix: 4.1710e-03 
2025-04-24 18:41:02,896 INFO: [train..][epoch:370, iter:  92,700, lr:(9.802e-05,)] [eta: 9:02:29, time (data): 0.391 (0.015)] l_pix: 3.5416e-03 
2025-04-24 18:41:43,123 INFO: [train..][epoch:371, iter:  92,800, lr:(9.787e-05,)] [eta: 9:01:22, time (data): 0.399 (0.023)] l_pix: 3.7080e-03 
2025-04-24 18:42:22,237 INFO: [train..][epoch:371, iter:  92,900, lr:(9.772e-05,)] [eta: 9:00:14, time (data): 0.392 (0.014)] l_pix: 3.4246e-03 
2025-04-24 18:43:01,210 INFO: [train..][epoch:371, iter:  93,000, lr:(9.756e-05,)] [eta: 8:59:06, time (data): 0.390 (0.014)] l_pix: 3.5388e-03 
2025-04-24 18:44:23,004 INFO: Validation FFHQ_val
	 # psnr: 26.3720	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7584	Best: 0.7586 @ 87000 iter

2025-04-24 18:45:03,361 INFO: [train..][epoch:372, iter:  93,100, lr:(9.739e-05,)] [eta: 8:58:50, time (data): 0.391 (0.014)] l_pix: 3.2490e-03 
2025-04-24 18:45:42,414 INFO: [train..][epoch:372, iter:  93,200, lr:(9.722e-05,)] [eta: 8:57:42, time (data): 0.391 (0.014)] l_pix: 3.3585e-03 
2025-04-24 18:46:22,444 INFO: [train..][epoch:373, iter:  93,300, lr:(9.705e-05,)] [eta: 8:56:35, time (data): 0.387 (0.014)] l_pix: 3.8657e-03 
2025-04-24 18:47:01,556 INFO: [train..][epoch:373, iter:  93,400, lr:(9.687e-05,)] [eta: 8:55:27, time (data): 0.390 (0.014)] l_pix: 4.8415e-03 
2025-04-24 18:47:40,746 INFO: [train..][epoch:373, iter:  93,500, lr:(9.668e-05,)] [eta: 8:54:20, time (data): 0.393 (0.014)] l_pix: 3.3437e-03 
2025-04-24 18:49:02,745 INFO: Validation FFHQ_val
	 # psnr: 26.3702	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7584	Best: 0.7586 @ 87000 iter

2025-04-24 18:49:43,078 INFO: [train..][epoch:374, iter:  93,600, lr:(9.649e-05,)] [eta: 8:54:03, time (data): 0.401 (0.023)] l_pix: 3.3476e-03 
2025-04-24 18:50:22,275 INFO: [train..][epoch:374, iter:  93,700, lr:(9.630e-05,)] [eta: 8:52:55, time (data): 0.392 (0.014)] l_pix: 3.6466e-03 
2025-04-24 18:51:02,582 INFO: [train..][epoch:375, iter:  93,800, lr:(9.610e-05,)] [eta: 8:51:49, time (data): 0.400 (0.023)] l_pix: 3.2335e-03 
2025-04-24 18:51:41,822 INFO: [train..][epoch:375, iter:  93,900, lr:(9.589e-05,)] [eta: 8:50:41, time (data): 0.394 (0.014)] l_pix: 2.9802e-03 
2025-04-24 18:52:20,962 INFO: [train..][epoch:375, iter:  94,000, lr:(9.568e-05,)] [eta: 8:49:34, time (data): 0.392 (0.015)] l_pix: 3.7814e-03 
2025-04-24 18:53:42,859 INFO: Validation FFHQ_val
	 # psnr: 26.3748	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7585	Best: 0.7586 @ 87000 iter

2025-04-24 18:54:22,899 INFO: [train..][epoch:376, iter:  94,100, lr:(9.547e-05,)] [eta: 8:49:16, time (data): 0.389 (0.014)] l_pix: 3.8423e-03 
2025-04-24 18:55:01,926 INFO: [train..][epoch:376, iter:  94,200, lr:(9.525e-05,)] [eta: 8:48:09, time (data): 0.390 (0.014)] l_pix: 3.3208e-03 
2025-04-24 18:55:41,952 INFO: [train..][epoch:377, iter:  94,300, lr:(9.502e-05,)] [eta: 8:47:02, time (data): 0.389 (0.015)] l_pix: 4.2860e-03 
2025-04-24 18:56:21,099 INFO: [train..][epoch:377, iter:  94,400, lr:(9.479e-05,)] [eta: 8:45:55, time (data): 0.391 (0.014)] l_pix: 3.2307e-03 
2025-04-24 18:57:00,137 INFO: [train..][epoch:377, iter:  94,500, lr:(9.456e-05,)] [eta: 8:44:48, time (data): 0.388 (0.014)] l_pix: 4.1438e-03 
2025-04-24 18:58:20,483 INFO: Validation FFHQ_val
	 # psnr: 26.3759	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7585	Best: 0.7586 @ 87000 iter

2025-04-24 18:59:00,816 INFO: [train..][epoch:378, iter:  94,600, lr:(9.432e-05,)] [eta: 8:44:29, time (data): 0.400 (0.023)] l_pix: 3.1925e-03 
2025-04-24 18:59:40,046 INFO: [train..][epoch:378, iter:  94,700, lr:(9.407e-05,)] [eta: 8:43:21, time (data): 0.391 (0.014)] l_pix: 4.3014e-03 
2025-04-24 19:00:20,304 INFO: [train..][epoch:379, iter:  94,800, lr:(9.382e-05,)] [eta: 8:42:15, time (data): 0.400 (0.023)] l_pix: 4.0750e-03 
2025-04-24 19:00:59,405 INFO: [train..][epoch:379, iter:  94,900, lr:(9.357e-05,)] [eta: 8:41:08, time (data): 0.391 (0.014)] l_pix: 5.2615e-03 
2025-04-24 19:01:38,596 INFO: [train..][epoch:379, iter:  95,000, lr:(9.331e-05,)] [eta: 8:40:01, time (data): 0.392 (0.015)] l_pix: 3.2087e-03 
2025-04-24 19:01:38,597 INFO: Saving models and training states.
2025-04-24 19:03:02,237 INFO: Validation FFHQ_val
	 # psnr: 26.3776	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7585	Best: 0.7586 @ 87000 iter

2025-04-24 19:03:42,489 INFO: [train..][epoch:380, iter:  95,100, lr:(9.305e-05,)] [eta: 8:39:43, time (data): 0.388 (0.014)] l_pix: 3.4991e-03 
2025-04-24 19:04:21,511 INFO: [train..][epoch:380, iter:  95,200, lr:(9.278e-05,)] [eta: 8:38:36, time (data): 0.390 (0.015)] l_pix: 3.1184e-03 
2025-04-24 19:05:01,626 INFO: [train..][epoch:381, iter:  95,300, lr:(9.250e-05,)] [eta: 8:37:30, time (data): 0.388 (0.015)] l_pix: 4.4731e-03 
2025-04-24 19:05:40,741 INFO: [train..][epoch:381, iter:  95,400, lr:(9.223e-05,)] [eta: 8:36:23, time (data): 0.391 (0.015)] l_pix: 3.4853e-03 
2025-04-24 19:06:19,741 INFO: [train..][epoch:381, iter:  95,500, lr:(9.194e-05,)] [eta: 8:35:16, time (data): 0.389 (0.014)] l_pix: 3.4080e-03 
2025-04-24 19:07:43,635 INFO: Validation FFHQ_val
	 # psnr: 26.3792	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 87000 iter

2025-04-24 19:08:23,866 INFO: [train..][epoch:382, iter:  95,600, lr:(9.166e-05,)] [eta: 8:34:58, time (data): 0.400 (0.023)] l_pix: 2.5432e-03 
2025-04-24 19:09:02,903 INFO: [train..][epoch:382, iter:  95,700, lr:(9.137e-05,)] [eta: 8:33:51, time (data): 0.388 (0.014)] l_pix: 3.5105e-03 
2025-04-24 19:09:42,998 INFO: [train..][epoch:383, iter:  95,800, lr:(9.107e-05,)] [eta: 8:32:45, time (data): 0.398 (0.023)] l_pix: 3.2851e-03 
2025-04-24 19:10:22,097 INFO: [train..][epoch:383, iter:  95,900, lr:(9.077e-05,)] [eta: 8:31:38, time (data): 0.394 (0.015)] l_pix: 4.0055e-03 
2025-04-24 19:11:01,197 INFO: [train..][epoch:383, iter:  96,000, lr:(9.046e-05,)] [eta: 8:30:31, time (data): 0.392 (0.015)] l_pix: 3.5850e-03 
2025-04-24 19:12:24,840 INFO: Validation FFHQ_val
	 # psnr: 26.3826	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 96000 iter

2025-04-24 19:13:05,193 INFO: [train..][epoch:384, iter:  96,100, lr:(9.015e-05,)] [eta: 8:30:12, time (data): 0.392 (0.015)] l_pix: 3.9804e-03 
2025-04-24 19:13:44,294 INFO: [train..][epoch:384, iter:  96,200, lr:(8.984e-05,)] [eta: 8:29:05, time (data): 0.391 (0.015)] l_pix: 4.1101e-03 
2025-04-24 19:14:24,529 INFO: [train..][epoch:385, iter:  96,300, lr:(8.952e-05,)] [eta: 8:27:59, time (data): 0.391 (0.015)] l_pix: 4.0016e-03 
2025-04-24 19:15:03,744 INFO: [train..][epoch:385, iter:  96,400, lr:(8.920e-05,)] [eta: 8:26:53, time (data): 0.392 (0.015)] l_pix: 3.2270e-03 
2025-04-24 19:15:42,604 INFO: [train..][epoch:385, iter:  96,500, lr:(8.887e-05,)] [eta: 8:25:46, time (data): 0.388 (0.014)] l_pix: 3.9389e-03 
2025-04-24 19:17:04,442 INFO: Validation FFHQ_val
	 # psnr: 26.3795	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 96000 iter

2025-04-24 19:17:44,790 INFO: [train..][epoch:386, iter:  96,600, lr:(8.854e-05,)] [eta: 8:25:26, time (data): 0.401 (0.024)] l_pix: 3.1284e-03 
2025-04-24 19:18:23,937 INFO: [train..][epoch:386, iter:  96,700, lr:(8.820e-05,)] [eta: 8:24:19, time (data): 0.393 (0.015)] l_pix: 3.3340e-03 
2025-04-24 19:19:04,166 INFO: [train..][epoch:387, iter:  96,800, lr:(8.787e-05,)] [eta: 8:23:13, time (data): 0.401 (0.024)] l_pix: 3.5951e-03 
2025-04-24 19:19:43,333 INFO: [train..][epoch:387, iter:  96,900, lr:(8.752e-05,)] [eta: 8:22:07, time (data): 0.392 (0.014)] l_pix: 3.4536e-03 
2025-04-24 19:20:22,396 INFO: [train..][epoch:387, iter:  97,000, lr:(8.717e-05,)] [eta: 8:21:01, time (data): 0.391 (0.014)] l_pix: 4.5013e-03 
2025-04-24 19:21:44,265 INFO: Validation FFHQ_val
	 # psnr: 26.3787	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7586	Best: 0.7586 @ 97000 iter

2025-04-24 19:22:24,480 INFO: [train..][epoch:388, iter:  97,100, lr:(8.682e-05,)] [eta: 8:20:39, time (data): 0.389 (0.014)] l_pix: 4.0643e-03 
2025-04-24 19:23:03,500 INFO: [train..][epoch:388, iter:  97,200, lr:(8.647e-05,)] [eta: 8:19:33, time (data): 0.390 (0.014)] l_pix: 4.2194e-03 
2025-04-24 19:23:43,609 INFO: [train..][epoch:389, iter:  97,300, lr:(8.611e-05,)] [eta: 8:18:27, time (data): 0.393 (0.014)] l_pix: 4.0782e-03 
2025-04-24 19:24:22,848 INFO: [train..][epoch:389, iter:  97,400, lr:(8.574e-05,)] [eta: 8:17:21, time (data): 0.392 (0.015)] l_pix: 3.6652e-03 
2025-04-24 19:25:02,015 INFO: [train..][epoch:389, iter:  97,500, lr:(8.537e-05,)] [eta: 8:16:15, time (data): 0.394 (0.014)] l_pix: 3.3300e-03 
2025-04-24 19:26:24,011 INFO: Validation FFHQ_val
	 # psnr: 26.3812	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7587	Best: 0.7587 @ 97500 iter

2025-04-24 19:27:04,085 INFO: [train..][epoch:390, iter:  97,600, lr:(8.500e-05,)] [eta: 8:15:53, time (data): 0.400 (0.024)] l_pix: 3.7054e-03 
2025-04-24 19:27:43,124 INFO: [train..][epoch:390, iter:  97,700, lr:(8.463e-05,)] [eta: 8:14:47, time (data): 0.394 (0.015)] l_pix: 4.8385e-03 
2025-04-24 19:28:23,323 INFO: [train..][epoch:391, iter:  97,800, lr:(8.425e-05,)] [eta: 8:13:41, time (data): 0.401 (0.024)] l_pix: 3.4669e-03 
2025-04-24 19:29:02,555 INFO: [train..][epoch:391, iter:  97,900, lr:(8.386e-05,)] [eta: 8:12:35, time (data): 0.394 (0.015)] l_pix: 4.4654e-03 
2025-04-24 19:29:41,647 INFO: [train..][epoch:391, iter:  98,000, lr:(8.348e-05,)] [eta: 8:11:29, time (data): 0.391 (0.015)] l_pix: 3.4553e-03 
2025-04-24 19:31:01,695 INFO: Validation FFHQ_val
	 # psnr: 26.3842	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7587	Best: 0.7587 @ 98000 iter

2025-04-24 19:31:41,775 INFO: [train..][epoch:392, iter:  98,100, lr:(8.309e-05,)] [eta: 8:11:06, time (data): 0.390 (0.014)] l_pix: 3.9106e-03 
2025-04-24 19:32:20,850 INFO: [train..][epoch:392, iter:  98,200, lr:(8.269e-05,)] [eta: 8:10:00, time (data): 0.391 (0.014)] l_pix: 2.8384e-03 
2025-04-24 19:33:01,071 INFO: [train..][epoch:393, iter:  98,300, lr:(8.229e-05,)] [eta: 8:08:54, time (data): 0.391 (0.014)] l_pix: 3.6755e-03 
2025-04-24 19:33:40,053 INFO: [train..][epoch:393, iter:  98,400, lr:(8.189e-05,)] [eta: 8:07:48, time (data): 0.390 (0.014)] l_pix: 3.1689e-03 
2025-04-24 19:34:19,114 INFO: [train..][epoch:393, iter:  98,500, lr:(8.149e-05,)] [eta: 8:06:42, time (data): 0.393 (0.014)] l_pix: 4.0335e-03 
2025-04-24 19:35:40,134 INFO: Validation FFHQ_val
	 # psnr: 26.3845	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7588	Best: 0.7588 @ 98500 iter

2025-04-24 19:36:20,171 INFO: [train..][epoch:394, iter:  98,600, lr:(8.108e-05,)] [eta: 8:06:19, time (data): 0.400 (0.024)] l_pix: 3.7626e-03 
2025-04-24 19:36:59,266 INFO: [train..][epoch:394, iter:  98,700, lr:(8.067e-05,)] [eta: 8:05:13, time (data): 0.393 (0.016)] l_pix: 3.6759e-03 
2025-04-24 19:37:39,364 INFO: [train..][epoch:395, iter:  98,800, lr:(8.025e-05,)] [eta: 8:04:08, time (data): 0.400 (0.025)] l_pix: 3.8259e-03 
2025-04-24 19:38:18,611 INFO: [train..][epoch:395, iter:  98,900, lr:(7.984e-05,)] [eta: 8:03:02, time (data): 0.384 (0.014)] l_pix: 3.1039e-03 
2025-04-24 19:38:57,627 INFO: [train..][epoch:395, iter:  99,000, lr:(7.941e-05,)] [eta: 8:01:56, time (data): 0.390 (0.014)] l_pix: 3.8476e-03 
2025-04-24 19:40:17,351 INFO: Validation FFHQ_val
	 # psnr: 26.3886	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7588	Best: 0.7588 @ 99000 iter

2025-04-24 19:40:57,537 INFO: [train..][epoch:396, iter:  99,100, lr:(7.899e-05,)] [eta: 8:01:32, time (data): 0.390 (0.014)] l_pix: 3.7078e-03 
2025-04-24 19:41:36,557 INFO: [train..][epoch:396, iter:  99,200, lr:(7.856e-05,)] [eta: 8:00:26, time (data): 0.390 (0.014)] l_pix: 4.0614e-03 
2025-04-24 19:42:16,730 INFO: [train..][epoch:397, iter:  99,300, lr:(7.813e-05,)] [eta: 7:59:21, time (data): 0.391 (0.014)] l_pix: 2.8499e-03 
2025-04-24 19:42:55,745 INFO: [train..][epoch:397, iter:  99,400, lr:(7.770e-05,)] [eta: 7:58:15, time (data): 0.390 (0.014)] l_pix: 3.0715e-03 
2025-04-24 19:43:34,629 INFO: [train..][epoch:397, iter:  99,500, lr:(7.726e-05,)] [eta: 7:57:10, time (data): 0.395 (0.014)] l_pix: 4.6431e-03 
2025-04-24 19:44:55,292 INFO: Validation FFHQ_val
	 # psnr: 26.3829	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7588	Best: 0.7588 @ 99000 iter

2025-04-24 19:45:35,196 INFO: [train..][epoch:398, iter:  99,600, lr:(7.682e-05,)] [eta: 7:56:45, time (data): 0.399 (0.025)] l_pix: 2.9702e-03 
2025-04-24 19:46:14,163 INFO: [train..][epoch:398, iter:  99,700, lr:(7.638e-05,)] [eta: 7:55:39, time (data): 0.386 (0.014)] l_pix: 3.3244e-03 
2025-04-24 19:46:54,452 INFO: [train..][epoch:399, iter:  99,800, lr:(7.593e-05,)] [eta: 7:54:34, time (data): 0.402 (0.025)] l_pix: 4.5416e-03 
2025-04-24 19:47:33,633 INFO: [train..][epoch:399, iter:  99,900, lr:(7.548e-05,)] [eta: 7:53:29, time (data): 0.390 (0.014)] l_pix: 3.4280e-03 
2025-04-24 19:48:12,673 INFO: [train..][epoch:399, iter: 100,000, lr:(7.503e-05,)] [eta: 7:52:23, time (data): 0.390 (0.014)] l_pix: 3.9681e-03 
2025-04-24 19:48:12,674 INFO: Saving models and training states.
2025-04-24 19:49:36,575 INFO: Validation FFHQ_val
	 # psnr: 26.3876	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7589	Best: 0.7589 @ 100000 iter

2025-04-24 19:50:16,818 INFO: [train..][epoch:400, iter: 100,100, lr:(7.458e-05,)] [eta: 7:52:00, time (data): 0.387 (0.013)] l_pix: 3.5096e-03 
2025-04-24 19:50:56,044 INFO: [train..][epoch:400, iter: 100,200, lr:(7.412e-05,)] [eta: 7:50:55, time (data): 0.392 (0.015)] l_pix: 3.3591e-03 
2025-04-24 19:51:36,219 INFO: [train..][epoch:401, iter: 100,300, lr:(7.366e-05,)] [eta: 7:49:50, time (data): 0.394 (0.014)] l_pix: 3.7654e-03 
2025-04-24 19:52:15,315 INFO: [train..][epoch:401, iter: 100,400, lr:(7.320e-05,)] [eta: 7:48:44, time (data): 0.391 (0.014)] l_pix: 3.2156e-03 
2025-04-24 19:52:54,294 INFO: [train..][epoch:401, iter: 100,500, lr:(7.273e-05,)] [eta: 7:47:39, time (data): 0.390 (0.014)] l_pix: 3.2064e-03 
2025-04-24 19:54:17,325 INFO: Validation FFHQ_val
	 # psnr: 26.3974	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7589	Best: 0.7589 @ 100500 iter

2025-04-24 19:54:57,469 INFO: [train..][epoch:402, iter: 100,600, lr:(7.226e-05,)] [eta: 7:47:15, time (data): 0.401 (0.025)] l_pix: 3.7744e-03 
2025-04-24 19:55:36,342 INFO: [train..][epoch:402, iter: 100,700, lr:(7.179e-05,)] [eta: 7:46:09, time (data): 0.395 (0.020)] l_pix: 2.9111e-03 
2025-04-24 19:56:16,784 INFO: [train..][epoch:403, iter: 100,800, lr:(7.132e-05,)] [eta: 7:45:05, time (data): 0.404 (0.026)] l_pix: 3.1107e-03 
2025-04-24 19:56:55,989 INFO: [train..][epoch:403, iter: 100,900, lr:(7.085e-05,)] [eta: 7:43:59, time (data): 0.398 (0.020)] l_pix: 3.2602e-03 
2025-04-24 19:57:34,918 INFO: [train..][epoch:403, iter: 101,000, lr:(7.037e-05,)] [eta: 7:42:54, time (data): 0.389 (0.014)] l_pix: 3.6598e-03 
2025-04-24 19:58:56,845 INFO: Validation FFHQ_val
	 # psnr: 26.3967	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7590	Best: 0.7590 @ 101000 iter

2025-04-24 19:59:37,007 INFO: [train..][epoch:404, iter: 101,100, lr:(6.989e-05,)] [eta: 7:42:29, time (data): 0.395 (0.020)] l_pix: 3.4691e-03 
2025-04-24 20:00:16,026 INFO: [train..][epoch:404, iter: 101,200, lr:(6.941e-05,)] [eta: 7:41:24, time (data): 0.390 (0.014)] l_pix: 3.6042e-03 
2025-04-24 20:00:56,421 INFO: [train..][epoch:405, iter: 101,300, lr:(6.893e-05,)] [eta: 7:40:19, time (data): 0.397 (0.020)] l_pix: 3.0665e-03 
2025-04-24 20:01:35,435 INFO: [train..][epoch:405, iter: 101,400, lr:(6.844e-05,)] [eta: 7:39:14, time (data): 0.390 (0.015)] l_pix: 4.1310e-03 
2025-04-24 20:02:14,472 INFO: [train..][epoch:405, iter: 101,500, lr:(6.796e-05,)] [eta: 7:38:09, time (data): 0.390 (0.015)] l_pix: 3.2173e-03 
2025-04-24 20:03:37,811 INFO: Validation FFHQ_val
	 # psnr: 26.3968	Best: 26.4021 @ 87000 iter
	 # niqe: 0.7590	Best: 0.7590 @ 101500 iter

2025-04-24 20:04:17,987 INFO: [train..][epoch:406, iter: 101,600, lr:(6.747e-05,)] [eta: 7:37:44, time (data): 0.389 (0.014)] l_pix: 4.4785e-03 
2025-04-24 20:04:56,811 INFO: [train..][epoch:406, iter: 101,700, lr:(6.697e-05,)] [eta: 7:36:39, time (data): 0.389 (0.014)] l_pix: 4.3716e-03 
2025-04-24 20:05:36,982 INFO: [train..][epoch:407, iter: 101,800, lr:(6.648e-05,)] [eta: 7:35:34, time (data): 0.403 (0.027)] l_pix: 3.1949e-03 
2025-04-24 20:06:15,962 INFO: [train..][epoch:407, iter: 101,900, lr:(6.599e-05,)] [eta: 7:34:29, time (data): 0.396 (0.020)] l_pix: 3.9861e-03 
2025-04-24 20:06:55,002 INFO: [train..][epoch:407, iter: 102,000, lr:(6.549e-05,)] [eta: 7:33:24, time (data): 0.391 (0.014)] l_pix: 3.8517e-03 
2025-04-24 20:08:16,761 INFO: Validation FFHQ_val
	 # psnr: 26.4035	Best: 26.4035 @ 102000 iter
	 # niqe: 0.7590	Best: 0.7590 @ 102000 iter

2025-04-24 20:08:56,916 INFO: [train..][epoch:408, iter: 102,100, lr:(6.499e-05,)] [eta: 7:32:58, time (data): 0.396 (0.020)] l_pix: 4.1093e-03 
2025-04-24 20:09:35,923 INFO: [train..][epoch:408, iter: 102,200, lr:(6.449e-05,)] [eta: 7:31:53, time (data): 0.390 (0.015)] l_pix: 2.9015e-03 
2025-04-24 20:10:16,374 INFO: [train..][epoch:409, iter: 102,300, lr:(6.399e-05,)] [eta: 7:30:49, time (data): 0.398 (0.020)] l_pix: 3.4650e-03 
2025-04-24 20:10:55,769 INFO: [train..][epoch:409, iter: 102,400, lr:(6.349e-05,)] [eta: 7:29:44, time (data): 0.394 (0.015)] l_pix: 3.2335e-03 
2025-04-24 20:11:34,930 INFO: [train..][epoch:409, iter: 102,500, lr:(6.298e-05,)] [eta: 7:28:39, time (data): 0.393 (0.015)] l_pix: 4.5205e-03 
2025-04-24 20:12:58,420 INFO: Validation FFHQ_val
	 # psnr: 26.4030	Best: 26.4035 @ 102000 iter
	 # niqe: 0.7591	Best: 0.7591 @ 102500 iter

2025-04-24 20:13:38,681 INFO: [train..][epoch:410, iter: 102,600, lr:(6.248e-05,)] [eta: 7:28:13, time (data): 0.391 (0.014)] l_pix: 2.7784e-03 
2025-04-24 20:14:17,884 INFO: [train..][epoch:410, iter: 102,700, lr:(6.197e-05,)] [eta: 7:27:09, time (data): 0.392 (0.014)] l_pix: 3.5869e-03 
2025-04-24 20:14:58,111 INFO: [train..][epoch:411, iter: 102,800, lr:(6.146e-05,)] [eta: 7:26:04, time (data): 0.403 (0.027)] l_pix: 3.1639e-03 
2025-04-24 20:15:37,376 INFO: [train..][epoch:411, iter: 102,900, lr:(6.095e-05,)] [eta: 7:25:00, time (data): 0.398 (0.020)] l_pix: 3.8035e-03 
2025-04-24 20:16:16,456 INFO: [train..][epoch:411, iter: 103,000, lr:(6.044e-05,)] [eta: 7:23:55, time (data): 0.391 (0.015)] l_pix: 3.8992e-03 
2025-04-24 20:17:38,551 INFO: Validation FFHQ_val
	 # psnr: 26.3980	Best: 26.4035 @ 102000 iter
	 # niqe: 0.7590	Best: 0.7591 @ 102500 iter

2025-04-24 20:18:18,687 INFO: [train..][epoch:412, iter: 103,100, lr:(5.993e-05,)] [eta: 7:23:28, time (data): 0.396 (0.021)] l_pix: 2.6569e-03 
2025-04-24 20:18:57,710 INFO: [train..][epoch:412, iter: 103,200, lr:(5.941e-05,)] [eta: 7:22:23, time (data): 0.390 (0.014)] l_pix: 3.8435e-03 
2025-04-24 20:19:37,790 INFO: [train..][epoch:413, iter: 103,300, lr:(5.890e-05,)] [eta: 7:21:19, time (data): 0.396 (0.020)] l_pix: 4.1058e-03 
2025-04-24 20:20:16,859 INFO: [train..][epoch:413, iter: 103,400, lr:(5.839e-05,)] [eta: 7:20:14, time (data): 0.391 (0.015)] l_pix: 3.4349e-03 
2025-04-24 20:20:55,880 INFO: [train..][epoch:413, iter: 103,500, lr:(5.787e-05,)] [eta: 7:19:10, time (data): 0.391 (0.015)] l_pix: 3.7720e-03 
2025-04-24 20:22:18,069 INFO: Validation FFHQ_val
	 # psnr: 26.4015	Best: 26.4035 @ 102000 iter
	 # niqe: 0.7591	Best: 0.7591 @ 103500 iter

2025-04-24 20:22:58,203 INFO: [train..][epoch:414, iter: 103,600, lr:(5.735e-05,)] [eta: 7:18:43, time (data): 0.388 (0.014)] l_pix: 2.9346e-03 
2025-04-24 20:23:37,323 INFO: [train..][epoch:414, iter: 103,700, lr:(5.683e-05,)] [eta: 7:17:38, time (data): 0.390 (0.014)] l_pix: 3.2422e-03 
2025-04-24 20:24:17,656 INFO: [train..][epoch:415, iter: 103,800, lr:(5.632e-05,)] [eta: 7:16:34, time (data): 0.406 (0.028)] l_pix: 3.5494e-03 
2025-04-24 20:24:56,812 INFO: [train..][epoch:415, iter: 103,900, lr:(5.580e-05,)] [eta: 7:15:29, time (data): 0.398 (0.021)] l_pix: 3.3067e-03 
2025-04-24 20:25:35,889 INFO: [train..][epoch:415, iter: 104,000, lr:(5.528e-05,)] [eta: 7:14:25, time (data): 0.390 (0.015)] l_pix: 2.4814e-03 
2025-04-24 20:26:58,857 INFO: Validation FFHQ_val
	 # psnr: 26.4055	Best: 26.4055 @ 104000 iter
	 # niqe: 0.7592	Best: 0.7592 @ 104000 iter

2025-04-24 20:27:38,917 INFO: [train..][epoch:416, iter: 104,100, lr:(5.476e-05,)] [eta: 7:13:58, time (data): 0.396 (0.020)] l_pix: 3.7127e-03 
2025-04-24 20:28:17,852 INFO: [train..][epoch:416, iter: 104,200, lr:(5.423e-05,)] [eta: 7:12:53, time (data): 0.389 (0.014)] l_pix: 4.1108e-03 
2025-04-24 20:28:58,082 INFO: [train..][epoch:417, iter: 104,300, lr:(5.371e-05,)] [eta: 7:11:49, time (data): 0.396 (0.020)] l_pix: 4.5477e-03 
2025-04-24 20:29:36,961 INFO: [train..][epoch:417, iter: 104,400, lr:(5.319e-05,)] [eta: 7:10:45, time (data): 0.388 (0.014)] l_pix: 3.7447e-03 
2025-04-24 20:30:15,904 INFO: [train..][epoch:417, iter: 104,500, lr:(5.267e-05,)] [eta: 7:09:40, time (data): 0.389 (0.014)] l_pix: 4.3399e-03 
2025-04-24 20:31:38,534 INFO: Validation FFHQ_val
	 # psnr: 26.4092	Best: 26.4092 @ 104500 iter
	 # niqe: 0.7592	Best: 0.7592 @ 104500 iter

2025-04-24 20:32:18,680 INFO: [train..][epoch:418, iter: 104,600, lr:(5.215e-05,)] [eta: 7:09:12, time (data): 0.390 (0.014)] l_pix: 3.2980e-03 
2025-04-24 20:32:57,586 INFO: [train..][epoch:418, iter: 104,700, lr:(5.162e-05,)] [eta: 7:08:08, time (data): 0.389 (0.014)] l_pix: 3.8190e-03 
2025-04-24 20:33:37,703 INFO: [train..][epoch:419, iter: 104,800, lr:(5.110e-05,)] [eta: 7:07:04, time (data): 0.405 (0.028)] l_pix: 4.1287e-03 
2025-04-24 20:34:16,823 INFO: [train..][epoch:419, iter: 104,900, lr:(5.058e-05,)] [eta: 7:06:00, time (data): 0.397 (0.020)] l_pix: 3.5958e-03 
2025-04-24 20:34:55,968 INFO: [train..][epoch:419, iter: 105,000, lr:(5.006e-05,)] [eta: 7:04:56, time (data): 0.392 (0.014)] l_pix: 3.7366e-03 
2025-04-24 20:34:55,969 INFO: Saving models and training states.
2025-04-24 20:36:19,332 INFO: Validation FFHQ_val
	 # psnr: 26.4093	Best: 26.4093 @ 105000 iter
	 # niqe: 0.7592	Best: 0.7592 @ 105000 iter

2025-04-24 20:36:59,663 INFO: [train..][epoch:420, iter: 105,100, lr:(4.953e-05,)] [eta: 7:04:28, time (data): 0.398 (0.021)] l_pix: 3.9136e-03 
2025-04-24 20:37:38,959 INFO: [train..][epoch:420, iter: 105,200, lr:(4.901e-05,)] [eta: 7:03:23, time (data): 0.393 (0.015)] l_pix: 3.4571e-03 
2025-04-24 20:38:19,088 INFO: [train..][epoch:421, iter: 105,300, lr:(4.849e-05,)] [eta: 7:02:20, time (data): 0.398 (0.021)] l_pix: 3.1131e-03 
2025-04-24 20:38:58,173 INFO: [train..][epoch:421, iter: 105,400, lr:(4.796e-05,)] [eta: 7:01:15, time (data): 0.392 (0.015)] l_pix: 3.7028e-03 
2025-04-24 20:39:37,389 INFO: [train..][epoch:421, iter: 105,500, lr:(4.744e-05,)] [eta: 7:00:11, time (data): 0.392 (0.015)] l_pix: 4.5613e-03 
2025-04-24 20:41:00,451 INFO: Validation FFHQ_val
	 # psnr: 26.4144	Best: 26.4144 @ 105500 iter
	 # niqe: 0.7593	Best: 0.7593 @ 105500 iter

2025-04-24 20:41:40,592 INFO: [train..][epoch:422, iter: 105,600, lr:(4.692e-05,)] [eta: 6:59:43, time (data): 0.390 (0.014)] l_pix: 4.8247e-03 
2025-04-24 20:42:19,642 INFO: [train..][epoch:422, iter: 105,700, lr:(4.640e-05,)] [eta: 6:58:39, time (data): 0.390 (0.014)] l_pix: 3.7913e-03 
2025-04-24 20:42:59,982 INFO: [train..][epoch:423, iter: 105,800, lr:(4.588e-05,)] [eta: 6:57:35, time (data): 0.408 (0.029)] l_pix: 3.2978e-03 
2025-04-24 20:43:39,203 INFO: [train..][epoch:423, iter: 105,900, lr:(4.535e-05,)] [eta: 6:56:31, time (data): 0.399 (0.021)] l_pix: 4.6097e-03 
2025-04-24 20:44:18,151 INFO: [train..][epoch:423, iter: 106,000, lr:(4.483e-05,)] [eta: 6:55:27, time (data): 0.390 (0.015)] l_pix: 3.2531e-03 
2025-04-24 20:45:40,625 INFO: Validation FFHQ_val
	 # psnr: 26.4156	Best: 26.4156 @ 106000 iter
	 # niqe: 0.7593	Best: 0.7593 @ 106000 iter

2025-04-24 20:46:20,938 INFO: [train..][epoch:424, iter: 106,100, lr:(4.431e-05,)] [eta: 6:54:58, time (data): 0.398 (0.021)] l_pix: 3.6932e-03 
2025-04-24 20:47:00,069 INFO: [train..][epoch:424, iter: 106,200, lr:(4.379e-05,)] [eta: 6:53:54, time (data): 0.391 (0.015)] l_pix: 3.6758e-03 
2025-04-24 20:47:40,452 INFO: [train..][epoch:425, iter: 106,300, lr:(4.328e-05,)] [eta: 6:52:50, time (data): 0.399 (0.021)] l_pix: 3.8638e-03 
2025-04-24 20:48:19,657 INFO: [train..][epoch:425, iter: 106,400, lr:(4.276e-05,)] [eta: 6:51:47, time (data): 0.392 (0.014)] l_pix: 4.8318e-03 
2025-04-24 20:48:58,699 INFO: [train..][epoch:425, iter: 106,500, lr:(4.224e-05,)] [eta: 6:50:43, time (data): 0.391 (0.014)] l_pix: 3.6066e-03 
2025-04-24 20:50:21,344 INFO: Validation FFHQ_val
	 # psnr: 26.4215	Best: 26.4215 @ 106500 iter
	 # niqe: 0.7594	Best: 0.7594 @ 106500 iter

2025-04-24 20:51:01,529 INFO: [train..][epoch:426, iter: 106,600, lr:(4.173e-05,)] [eta: 6:50:13, time (data): 0.390 (0.014)] l_pix: 3.1990e-03 
2025-04-24 20:51:40,453 INFO: [train..][epoch:426, iter: 106,700, lr:(4.121e-05,)] [eta: 6:49:09, time (data): 0.390 (0.014)] l_pix: 3.7910e-03 
2025-04-24 20:52:20,825 INFO: [train..][epoch:427, iter: 106,800, lr:(4.070e-05,)] [eta: 6:48:06, time (data): 0.409 (0.031)] l_pix: 3.4203e-03 
2025-04-24 20:53:00,141 INFO: [train..][epoch:427, iter: 106,900, lr:(4.018e-05,)] [eta: 6:47:02, time (data): 0.400 (0.021)] l_pix: 4.1175e-03 
2025-04-24 20:53:39,298 INFO: [train..][epoch:427, iter: 107,000, lr:(3.967e-05,)] [eta: 6:45:58, time (data): 0.390 (0.015)] l_pix: 3.5548e-03 
2025-04-24 20:55:00,648 INFO: Validation FFHQ_val
	 # psnr: 26.4190	Best: 26.4215 @ 106500 iter
	 # niqe: 0.7594	Best: 0.7594 @ 107000 iter

2025-04-24 20:55:40,802 INFO: [train..][epoch:428, iter: 107,100, lr:(3.916e-05,)] [eta: 6:45:28, time (data): 0.397 (0.021)] l_pix: 3.2822e-03 
2025-04-24 20:56:19,834 INFO: [train..][epoch:428, iter: 107,200, lr:(3.865e-05,)] [eta: 6:44:24, time (data): 0.390 (0.014)] l_pix: 3.5191e-03 
2025-04-24 20:56:59,987 INFO: [train..][epoch:429, iter: 107,300, lr:(3.814e-05,)] [eta: 6:43:21, time (data): 0.397 (0.021)] l_pix: 3.4759e-03 
2025-04-24 20:57:39,103 INFO: [train..][epoch:429, iter: 107,400, lr:(3.763e-05,)] [eta: 6:42:17, time (data): 0.391 (0.014)] l_pix: 3.5897e-03 
2025-04-24 20:58:18,145 INFO: [train..][epoch:429, iter: 107,500, lr:(3.713e-05,)] [eta: 6:41:13, time (data): 0.391 (0.014)] l_pix: 4.4435e-03 
2025-04-24 20:59:39,805 INFO: Validation FFHQ_val
	 # psnr: 26.4195	Best: 26.4215 @ 106500 iter
	 # niqe: 0.7594	Best: 0.7594 @ 107500 iter

2025-04-24 21:00:20,015 INFO: [train..][epoch:430, iter: 107,600, lr:(3.662e-05,)] [eta: 6:40:42, time (data): 0.390 (0.014)] l_pix: 3.0686e-03 
2025-04-24 21:00:59,133 INFO: [train..][epoch:430, iter: 107,700, lr:(3.612e-05,)] [eta: 6:39:39, time (data): 0.391 (0.014)] l_pix: 2.9997e-03 
2025-04-24 21:01:39,320 INFO: [train..][epoch:431, iter: 107,800, lr:(3.562e-05,)] [eta: 6:38:36, time (data): 0.409 (0.032)] l_pix: 3.8879e-03 
2025-04-24 21:02:18,382 INFO: [train..][epoch:431, iter: 107,900, lr:(3.512e-05,)] [eta: 6:37:32, time (data): 0.398 (0.021)] l_pix: 3.4996e-03 
2025-04-24 21:02:57,369 INFO: [train..][epoch:431, iter: 108,000, lr:(3.462e-05,)] [eta: 6:36:29, time (data): 0.389 (0.014)] l_pix: 3.0478e-03 
2025-04-24 21:04:20,300 INFO: Validation FFHQ_val
	 # psnr: 26.4222	Best: 26.4222 @ 108000 iter
	 # niqe: 0.7594	Best: 0.7594 @ 108000 iter

2025-04-24 21:05:00,376 INFO: [train..][epoch:432, iter: 108,100, lr:(3.412e-05,)] [eta: 6:35:58, time (data): 0.396 (0.021)] l_pix: 3.0718e-03 
2025-04-24 21:05:39,507 INFO: [train..][epoch:432, iter: 108,200, lr:(3.363e-05,)] [eta: 6:34:54, time (data): 0.391 (0.015)] l_pix: 4.7134e-03 
2025-04-24 21:06:19,878 INFO: [train..][epoch:433, iter: 108,300, lr:(3.313e-05,)] [eta: 6:33:51, time (data): 0.399 (0.021)] l_pix: 3.3839e-03 
2025-04-24 21:06:59,211 INFO: [train..][epoch:433, iter: 108,400, lr:(3.264e-05,)] [eta: 6:32:48, time (data): 0.393 (0.015)] l_pix: 3.6218e-03 
2025-04-24 21:07:38,357 INFO: [train..][epoch:433, iter: 108,500, lr:(3.215e-05,)] [eta: 6:31:45, time (data): 0.392 (0.015)] l_pix: 3.2308e-03 
2025-04-24 21:08:59,918 INFO: Validation FFHQ_val
	 # psnr: 26.4230	Best: 26.4230 @ 108500 iter
	 # niqe: 0.7595	Best: 0.7595 @ 108500 iter

2025-04-24 21:09:40,028 INFO: [train..][epoch:434, iter: 108,600, lr:(3.167e-05,)] [eta: 6:31:13, time (data): 0.389 (0.015)] l_pix: 3.8450e-03 
2025-04-24 21:10:19,259 INFO: [train..][epoch:434, iter: 108,700, lr:(3.118e-05,)] [eta: 6:30:09, time (data): 0.391 (0.015)] l_pix: 3.7787e-03 
2025-04-24 21:10:59,502 INFO: [train..][epoch:435, iter: 108,800, lr:(3.070e-05,)] [eta: 6:29:06, time (data): 0.411 (0.033)] l_pix: 3.7062e-03 
2025-04-24 21:11:38,748 INFO: [train..][epoch:435, iter: 108,900, lr:(3.022e-05,)] [eta: 6:28:03, time (data): 0.399 (0.022)] l_pix: 3.8649e-03 
2025-04-24 21:12:17,799 INFO: [train..][epoch:435, iter: 109,000, lr:(2.974e-05,)] [eta: 6:27:00, time (data): 0.390 (0.014)] l_pix: 3.3747e-03 
2025-04-24 21:13:40,906 INFO: Validation FFHQ_val
	 # psnr: 26.4276	Best: 26.4276 @ 109000 iter
	 # niqe: 0.7595	Best: 0.7595 @ 109000 iter

2025-04-24 21:14:21,095 INFO: [train..][epoch:436, iter: 109,100, lr:(2.926e-05,)] [eta: 6:26:28, time (data): 0.398 (0.022)] l_pix: 4.4114e-03 
2025-04-24 21:15:00,157 INFO: [train..][epoch:436, iter: 109,200, lr:(2.879e-05,)] [eta: 6:25:25, time (data): 0.392 (0.015)] l_pix: 3.0101e-03 
2025-04-24 21:15:40,459 INFO: [train..][epoch:437, iter: 109,300, lr:(2.831e-05,)] [eta: 6:24:22, time (data): 0.399 (0.022)] l_pix: 3.1435e-03 
2025-04-24 21:16:19,688 INFO: [train..][epoch:437, iter: 109,400, lr:(2.785e-05,)] [eta: 6:23:19, time (data): 0.394 (0.015)] l_pix: 3.3204e-03 
2025-04-24 21:16:58,960 INFO: [train..][epoch:437, iter: 109,500, lr:(2.738e-05,)] [eta: 6:22:16, time (data): 0.393 (0.015)] l_pix: 4.7525e-03 
2025-04-24 21:18:20,524 INFO: Validation FFHQ_val
	 # psnr: 26.4239	Best: 26.4276 @ 109000 iter
	 # niqe: 0.7595	Best: 0.7595 @ 109000 iter

2025-04-24 21:19:00,774 INFO: [train..][epoch:438, iter: 109,600, lr:(2.691e-05,)] [eta: 6:21:43, time (data): 0.391 (0.015)] l_pix: 2.8779e-03 
2025-04-24 21:19:39,761 INFO: [train..][epoch:438, iter: 109,700, lr:(2.645e-05,)] [eta: 6:20:40, time (data): 0.390 (0.014)] l_pix: 3.4622e-03 
2025-04-24 21:20:19,991 INFO: [train..][epoch:439, iter: 109,800, lr:(2.599e-05,)] [eta: 6:19:37, time (data): 0.411 (0.035)] l_pix: 4.0147e-03 
2025-04-24 21:20:59,116 INFO: [train..][epoch:439, iter: 109,900, lr:(2.553e-05,)] [eta: 6:18:34, time (data): 0.398 (0.022)] l_pix: 2.6796e-03 
2025-04-24 21:21:38,175 INFO: [train..][epoch:439, iter: 110,000, lr:(2.508e-05,)] [eta: 6:17:31, time (data): 0.388 (0.014)] l_pix: 5.0686e-03 
2025-04-24 21:21:38,176 INFO: Saving models and training states.
2025-04-24 21:23:01,196 INFO: Validation FFHQ_val
	 # psnr: 26.4262	Best: 26.4276 @ 109000 iter
	 # niqe: 0.7595	Best: 0.7595 @ 110000 iter

2025-04-24 21:23:41,387 INFO: [train..][epoch:440, iter: 110,100, lr:(2.463e-05,)] [eta: 6:16:59, time (data): 0.397 (0.021)] l_pix: 3.7668e-03 
2025-04-24 21:24:20,467 INFO: [train..][epoch:440, iter: 110,200, lr:(2.418e-05,)] [eta: 6:15:56, time (data): 0.392 (0.015)] l_pix: 3.2362e-03 
2025-04-24 21:25:00,610 INFO: [train..][epoch:441, iter: 110,300, lr:(2.373e-05,)] [eta: 6:14:53, time (data): 0.398 (0.022)] l_pix: 4.1843e-03 
2025-04-24 21:25:39,969 INFO: [train..][epoch:441, iter: 110,400, lr:(2.329e-05,)] [eta: 6:13:50, time (data): 0.394 (0.014)] l_pix: 3.6792e-03 
2025-04-24 21:26:18,982 INFO: [train..][epoch:441, iter: 110,500, lr:(2.285e-05,)] [eta: 6:12:47, time (data): 0.392 (0.014)] l_pix: 3.6037e-03 
2025-04-24 21:27:41,132 INFO: Validation FFHQ_val
	 # psnr: 26.4270	Best: 26.4276 @ 109000 iter
	 # niqe: 0.7596	Best: 0.7596 @ 110500 iter

2025-04-24 21:28:21,241 INFO: [train..][epoch:442, iter: 110,600, lr:(2.241e-05,)] [eta: 6:12:14, time (data): 0.390 (0.014)] l_pix: 3.9186e-03 
2025-04-24 21:29:00,415 INFO: [train..][epoch:442, iter: 110,700, lr:(2.198e-05,)] [eta: 6:11:11, time (data): 0.391 (0.015)] l_pix: 4.7229e-03 
2025-04-24 21:29:40,825 INFO: [train..][epoch:443, iter: 110,800, lr:(2.155e-05,)] [eta: 6:10:09, time (data): 0.394 (0.015)] l_pix: 3.4552e-03 
2025-04-24 21:30:20,020 INFO: [train..][epoch:443, iter: 110,900, lr:(2.112e-05,)] [eta: 6:09:06, time (data): 0.392 (0.015)] l_pix: 2.9388e-03 
2025-04-24 21:30:59,150 INFO: [train..][epoch:443, iter: 111,000, lr:(2.069e-05,)] [eta: 6:08:03, time (data): 0.392 (0.015)] l_pix: 4.0154e-03 
2025-04-24 21:32:20,966 INFO: Validation FFHQ_val
	 # psnr: 26.4268	Best: 26.4276 @ 109000 iter
	 # niqe: 0.7596	Best: 0.7596 @ 111000 iter

2025-04-24 21:33:01,262 INFO: [train..][epoch:444, iter: 111,100, lr:(2.027e-05,)] [eta: 6:07:30, time (data): 0.399 (0.022)] l_pix: 3.9000e-03 
2025-04-24 21:33:40,289 INFO: [train..][epoch:444, iter: 111,200, lr:(1.985e-05,)] [eta: 6:06:27, time (data): 0.390 (0.015)] l_pix: 3.3639e-03 
2025-04-24 21:34:20,644 INFO: [train..][epoch:445, iter: 111,300, lr:(1.944e-05,)] [eta: 6:05:24, time (data): 0.399 (0.022)] l_pix: 3.8881e-03 
2025-04-24 21:34:59,724 INFO: [train..][epoch:445, iter: 111,400, lr:(1.903e-05,)] [eta: 6:04:22, time (data): 0.390 (0.014)] l_pix: 3.7410e-03 
2025-04-24 21:35:38,678 INFO: [train..][epoch:445, iter: 111,500, lr:(1.862e-05,)] [eta: 6:03:19, time (data): 0.390 (0.014)] l_pix: 3.1467e-03 
2025-04-24 21:37:03,111 INFO: Validation FFHQ_val
	 # psnr: 26.4338	Best: 26.4338 @ 111500 iter
	 # niqe: 0.7596	Best: 0.7596 @ 111500 iter

2025-04-24 21:37:43,307 INFO: [train..][epoch:446, iter: 111,600, lr:(1.821e-05,)] [eta: 6:02:46, time (data): 0.390 (0.014)] l_pix: 3.0011e-03 
2025-04-24 21:38:22,372 INFO: [train..][epoch:446, iter: 111,700, lr:(1.781e-05,)] [eta: 6:01:43, time (data): 0.390 (0.014)] l_pix: 3.7383e-03 
2025-04-24 21:39:02,591 INFO: [train..][epoch:447, iter: 111,800, lr:(1.742e-05,)] [eta: 6:00:41, time (data): 0.391 (0.014)] l_pix: 4.3956e-03 
2025-04-24 21:39:41,871 INFO: [train..][epoch:447, iter: 111,900, lr:(1.702e-05,)] [eta: 5:59:38, time (data): 0.392 (0.015)] l_pix: 2.9710e-03 
2025-04-24 21:40:20,903 INFO: [train..][epoch:447, iter: 112,000, lr:(1.663e-05,)] [eta: 5:58:35, time (data): 0.390 (0.014)] l_pix: 3.3111e-03 
2025-04-24 21:41:44,534 INFO: Validation FFHQ_val
	 # psnr: 26.4347	Best: 26.4347 @ 112000 iter
	 # niqe: 0.7596	Best: 0.7596 @ 112000 iter

2025-04-24 21:42:24,723 INFO: [train..][epoch:448, iter: 112,100, lr:(1.624e-05,)] [eta: 5:58:02, time (data): 0.398 (0.022)] l_pix: 4.9710e-03 
2025-04-24 21:43:03,890 INFO: [train..][epoch:448, iter: 112,200, lr:(1.586e-05,)] [eta: 5:56:59, time (data): 0.392 (0.014)] l_pix: 3.7594e-03 
2025-04-24 21:43:44,045 INFO: [train..][epoch:449, iter: 112,300, lr:(1.548e-05,)] [eta: 5:55:57, time (data): 0.399 (0.022)] l_pix: 3.2032e-03 
2025-04-24 21:44:23,129 INFO: [train..][epoch:449, iter: 112,400, lr:(1.511e-05,)] [eta: 5:54:54, time (data): 0.391 (0.015)] l_pix: 2.9661e-03 
2025-04-24 21:45:02,347 INFO: [train..][epoch:449, iter: 112,500, lr:(1.473e-05,)] [eta: 5:53:52, time (data): 0.392 (0.014)] l_pix: 4.4212e-03 
2025-04-24 21:46:23,611 INFO: Validation FFHQ_val
	 # psnr: 26.4318	Best: 26.4347 @ 112000 iter
	 # niqe: 0.7596	Best: 0.7596 @ 112000 iter

2025-04-24 21:47:04,079 INFO: [train..][epoch:450, iter: 112,600, lr:(1.437e-05,)] [eta: 5:53:17, time (data): 0.393 (0.015)] l_pix: 2.9216e-03 
2025-04-24 21:47:43,140 INFO: [train..][epoch:450, iter: 112,700, lr:(1.400e-05,)] [eta: 5:52:14, time (data): 0.391 (0.015)] l_pix: 3.0521e-03 
2025-04-24 21:48:23,331 INFO: [train..][epoch:451, iter: 112,800, lr:(1.364e-05,)] [eta: 5:51:12, time (data): 0.393 (0.015)] l_pix: 3.7440e-03 
2025-04-24 21:49:02,409 INFO: [train..][epoch:451, iter: 112,900, lr:(1.329e-05,)] [eta: 5:50:10, time (data): 0.391 (0.015)] l_pix: 3.0484e-03 
2025-04-24 21:49:41,595 INFO: [train..][epoch:451, iter: 113,000, lr:(1.293e-05,)] [eta: 5:49:07, time (data): 0.393 (0.014)] l_pix: 3.7376e-03 
2025-04-24 21:51:05,023 INFO: Validation FFHQ_val
	 # psnr: 26.4331	Best: 26.4347 @ 112000 iter
	 # niqe: 0.7596	Best: 0.7596 @ 112000 iter

2025-04-24 21:51:45,143 INFO: [train..][epoch:452, iter: 113,100, lr:(1.259e-05,)] [eta: 5:48:33, time (data): 0.399 (0.023)] l_pix: 3.1722e-03 
2025-04-24 21:52:24,242 INFO: [train..][epoch:452, iter: 113,200, lr:(1.224e-05,)] [eta: 5:47:30, time (data): 0.392 (0.015)] l_pix: 3.2719e-03 
2025-04-24 21:53:04,586 INFO: [train..][epoch:453, iter: 113,300, lr:(1.190e-05,)] [eta: 5:46:28, time (data): 0.400 (0.023)] l_pix: 4.2507e-03 
2025-04-24 21:53:43,672 INFO: [train..][epoch:453, iter: 113,400, lr:(1.157e-05,)] [eta: 5:45:26, time (data): 0.390 (0.014)] l_pix: 4.2491e-03 
2025-04-24 21:54:22,724 INFO: [train..][epoch:453, iter: 113,500, lr:(1.123e-05,)] [eta: 5:44:24, time (data): 0.390 (0.014)] l_pix: 3.1354e-03 
2025-04-24 21:55:45,162 INFO: Validation FFHQ_val
	 # psnr: 26.4371	Best: 26.4371 @ 113500 iter
	 # niqe: 0.7597	Best: 0.7597 @ 113500 iter

2025-04-24 21:56:25,382 INFO: [train..][epoch:454, iter: 113,600, lr:(1.091e-05,)] [eta: 5:43:48, time (data): 0.392 (0.015)] l_pix: 3.5802e-03 
2025-04-24 21:57:04,491 INFO: [train..][epoch:454, iter: 113,700, lr:(1.058e-05,)] [eta: 5:42:46, time (data): 0.391 (0.014)] l_pix: 3.8058e-03 
2025-04-24 21:57:44,801 INFO: [train..][epoch:455, iter: 113,800, lr:(1.027e-05,)] [eta: 5:41:44, time (data): 0.391 (0.015)] l_pix: 2.5646e-03 
2025-04-24 21:58:24,162 INFO: [train..][epoch:455, iter: 113,900, lr:(9.952e-06,)] [eta: 5:40:42, time (data): 0.393 (0.015)] l_pix: 3.7220e-03 
2025-04-24 21:59:03,219 INFO: [train..][epoch:455, iter: 114,000, lr:(9.643e-06,)] [eta: 5:39:40, time (data): 0.387 (0.015)] l_pix: 3.5504e-03 
2025-04-24 22:00:25,348 INFO: Validation FFHQ_val
	 # psnr: 26.4396	Best: 26.4396 @ 114000 iter
	 # niqe: 0.7597	Best: 0.7597 @ 114000 iter

2025-04-24 22:01:05,285 INFO: [train..][epoch:456, iter: 114,100, lr:(9.337e-06,)] [eta: 5:39:04, time (data): 0.396 (0.023)] l_pix: 3.5324e-03 
2025-04-24 22:01:44,400 INFO: [train..][epoch:456, iter: 114,200, lr:(9.037e-06,)] [eta: 5:38:02, time (data): 0.391 (0.015)] l_pix: 3.3261e-03 
2025-04-24 22:02:24,536 INFO: [train..][epoch:457, iter: 114,300, lr:(8.740e-06,)] [eta: 5:37:00, time (data): 0.399 (0.023)] l_pix: 3.3864e-03 
2025-04-24 22:03:03,686 INFO: [train..][epoch:457, iter: 114,400, lr:(8.448e-06,)] [eta: 5:35:58, time (data): 0.390 (0.015)] l_pix: 4.4794e-03 
2025-04-24 22:03:42,763 INFO: [train..][epoch:457, iter: 114,500, lr:(8.161e-06,)] [eta: 5:34:56, time (data): 0.391 (0.015)] l_pix: 3.9878e-03 
2025-04-24 22:05:04,489 INFO: Validation FFHQ_val
	 # psnr: 26.4361	Best: 26.4396 @ 114000 iter
	 # niqe: 0.7597	Best: 0.7597 @ 114000 iter

2025-04-24 22:05:44,752 INFO: [train..][epoch:458, iter: 114,600, lr:(7.879e-06,)] [eta: 5:34:19, time (data): 0.393 (0.014)] l_pix: 3.8908e-03 
2025-04-24 22:06:24,033 INFO: [train..][epoch:458, iter: 114,700, lr:(7.601e-06,)] [eta: 5:33:17, time (data): 0.393 (0.015)] l_pix: 3.6687e-03 
2025-04-24 22:07:04,343 INFO: [train..][epoch:459, iter: 114,800, lr:(7.327e-06,)] [eta: 5:32:16, time (data): 0.393 (0.015)] l_pix: 3.1132e-03 
2025-04-24 22:07:43,337 INFO: [train..][epoch:459, iter: 114,900, lr:(7.059e-06,)] [eta: 5:31:13, time (data): 0.391 (0.015)] l_pix: 3.1347e-03 
2025-04-24 22:08:22,566 INFO: [train..][epoch:459, iter: 115,000, lr:(6.795e-06,)] [eta: 5:30:12, time (data): 0.392 (0.014)] l_pix: 3.4216e-03 
2025-04-24 22:08:22,567 INFO: Saving models and training states.
2025-04-24 22:09:46,495 INFO: Validation FFHQ_val
	 # psnr: 26.4384	Best: 26.4396 @ 114000 iter
	 # niqe: 0.7597	Best: 0.7597 @ 114000 iter

2025-04-24 22:10:26,707 INFO: [train..][epoch:460, iter: 115,100, lr:(6.535e-06,)] [eta: 5:29:35, time (data): 0.400 (0.023)] l_pix: 3.6046e-03 
2025-04-24 22:11:05,999 INFO: [train..][epoch:460, iter: 115,200, lr:(6.281e-06,)] [eta: 5:28:34, time (data): 0.393 (0.015)] l_pix: 3.1801e-03 
2025-04-24 22:11:46,099 INFO: [train..][epoch:461, iter: 115,300, lr:(6.031e-06,)] [eta: 5:27:32, time (data): 0.399 (0.023)] l_pix: 3.5613e-03 
2025-04-24 22:12:25,131 INFO: [train..][epoch:461, iter: 115,400, lr:(5.787e-06,)] [eta: 5:26:30, time (data): 0.392 (0.014)] l_pix: 3.3088e-03 
2025-04-24 22:13:04,290 INFO: [train..][epoch:461, iter: 115,500, lr:(5.547e-06,)] [eta: 5:25:28, time (data): 0.392 (0.014)] l_pix: 3.3482e-03 
2025-04-24 22:14:29,053 INFO: Validation FFHQ_val
	 # psnr: 26.4366	Best: 26.4396 @ 114000 iter
	 # niqe: 0.7597	Best: 0.7597 @ 115500 iter

2025-04-24 22:15:09,265 INFO: [train..][epoch:462, iter: 115,600, lr:(5.312e-06,)] [eta: 5:24:52, time (data): 0.390 (0.014)] l_pix: 3.1841e-03 
2025-04-24 22:15:48,288 INFO: [train..][epoch:462, iter: 115,700, lr:(5.081e-06,)] [eta: 5:23:50, time (data): 0.390 (0.014)] l_pix: 3.8642e-03 
2025-04-24 22:16:28,435 INFO: [train..][epoch:463, iter: 115,800, lr:(4.856e-06,)] [eta: 5:22:48, time (data): 0.389 (0.014)] l_pix: 4.0404e-03 
2025-04-24 22:17:07,397 INFO: [train..][epoch:463, iter: 115,900, lr:(4.636e-06,)] [eta: 5:21:47, time (data): 0.390 (0.015)] l_pix: 3.5084e-03 
2025-04-24 22:17:46,532 INFO: [train..][epoch:463, iter: 116,000, lr:(4.421e-06,)] [eta: 5:20:45, time (data): 0.389 (0.014)] l_pix: 3.1925e-03 
2025-04-24 22:19:12,082 INFO: Validation FFHQ_val
	 # psnr: 26.4433	Best: 26.4433 @ 116000 iter
	 # niqe: 0.7598	Best: 0.7598 @ 116000 iter

2025-04-24 22:19:52,447 INFO: [train..][epoch:464, iter: 116,100, lr:(4.210e-06,)] [eta: 5:20:09, time (data): 0.401 (0.023)] l_pix: 2.8677e-03 
2025-04-24 22:20:31,601 INFO: [train..][epoch:464, iter: 116,200, lr:(4.005e-06,)] [eta: 5:19:07, time (data): 0.392 (0.014)] l_pix: 3.1664e-03 
2025-04-24 22:21:11,951 INFO: [train..][epoch:465, iter: 116,300, lr:(3.805e-06,)] [eta: 5:18:05, time (data): 0.401 (0.024)] l_pix: 2.7278e-03 
2025-04-24 22:21:50,919 INFO: [train..][epoch:465, iter: 116,400, lr:(3.610e-06,)] [eta: 5:17:04, time (data): 0.390 (0.014)] l_pix: 3.8109e-03 
2025-04-24 22:22:30,153 INFO: [train..][epoch:465, iter: 116,500, lr:(3.420e-06,)] [eta: 5:16:02, time (data): 0.392 (0.015)] l_pix: 3.2946e-03 
2025-04-24 22:23:54,756 INFO: Validation FFHQ_val
	 # psnr: 26.4438	Best: 26.4438 @ 116500 iter
	 # niqe: 0.7598	Best: 0.7598 @ 116000 iter

2025-04-24 22:24:34,876 INFO: [train..][epoch:466, iter: 116,600, lr:(3.235e-06,)] [eta: 5:15:25, time (data): 0.389 (0.014)] l_pix: 3.9426e-03 
2025-04-24 22:25:13,885 INFO: [train..][epoch:466, iter: 116,700, lr:(3.055e-06,)] [eta: 5:14:23, time (data): 0.390 (0.014)] l_pix: 3.3334e-03 
2025-04-24 22:25:54,144 INFO: [train..][epoch:467, iter: 116,800, lr:(2.880e-06,)] [eta: 5:13:22, time (data): 0.392 (0.014)] l_pix: 3.5106e-03 
2025-04-24 22:26:33,244 INFO: [train..][epoch:467, iter: 116,900, lr:(2.711e-06,)] [eta: 5:12:20, time (data): 0.391 (0.015)] l_pix: 3.3785e-03 
2025-04-24 22:27:12,178 INFO: [train..][epoch:467, iter: 117,000, lr:(2.546e-06,)] [eta: 5:11:19, time (data): 0.386 (0.014)] l_pix: 3.3404e-03 
2025-04-24 22:28:35,577 INFO: Validation FFHQ_val
	 # psnr: 26.4453	Best: 26.4453 @ 117000 iter
	 # niqe: 0.7598	Best: 0.7598 @ 117000 iter

2025-04-24 22:29:15,709 INFO: [train..][epoch:468, iter: 117,100, lr:(2.387e-06,)] [eta: 5:10:41, time (data): 0.399 (0.024)] l_pix: 3.4428e-03 
2025-04-24 22:29:54,674 INFO: [train..][epoch:468, iter: 117,200, lr:(2.233e-06,)] [eta: 5:09:39, time (data): 0.390 (0.015)] l_pix: 3.2998e-03 
2025-04-24 22:30:34,859 INFO: [train..][epoch:469, iter: 117,300, lr:(2.085e-06,)] [eta: 5:08:38, time (data): 0.400 (0.024)] l_pix: 2.5700e-03 
2025-04-24 22:31:14,062 INFO: [train..][epoch:469, iter: 117,400, lr:(1.941e-06,)] [eta: 5:07:37, time (data): 0.393 (0.015)] l_pix: 2.7436e-03 
2025-04-24 22:31:53,133 INFO: [train..][epoch:469, iter: 117,500, lr:(1.803e-06,)] [eta: 5:06:35, time (data): 0.391 (0.015)] l_pix: 3.8691e-03 
2025-04-24 22:33:16,482 INFO: Validation FFHQ_val
	 # psnr: 26.4454	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7598	Best: 0.7598 @ 117000 iter

2025-04-24 22:33:56,611 INFO: [train..][epoch:470, iter: 117,600, lr:(1.671e-06,)] [eta: 5:05:57, time (data): 0.388 (0.014)] l_pix: 3.3259e-03 
2025-04-24 22:34:35,759 INFO: [train..][epoch:470, iter: 117,700, lr:(1.543e-06,)] [eta: 5:04:55, time (data): 0.391 (0.015)] l_pix: 3.4930e-03 
2025-04-24 22:35:16,048 INFO: [train..][epoch:471, iter: 117,800, lr:(1.421e-06,)] [eta: 5:03:54, time (data): 0.390 (0.015)] l_pix: 3.6402e-03 
2025-04-24 22:35:55,246 INFO: [train..][epoch:471, iter: 117,900, lr:(1.304e-06,)] [eta: 5:02:53, time (data): 0.392 (0.015)] l_pix: 4.2077e-03 
2025-04-24 22:36:34,264 INFO: [train..][epoch:471, iter: 118,000, lr:(1.193e-06,)] [eta: 5:01:52, time (data): 0.387 (0.014)] l_pix: 3.7173e-03 
2025-04-24 22:37:57,387 INFO: Validation FFHQ_val
	 # psnr: 26.4408	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7597	Best: 0.7598 @ 117000 iter

2025-04-24 22:38:37,496 INFO: [train..][epoch:472, iter: 118,100, lr:(1.086e-06,)] [eta: 5:01:13, time (data): 0.399 (0.024)] l_pix: 3.2459e-03 
2025-04-24 22:39:16,581 INFO: [train..][epoch:472, iter: 118,200, lr:(9.857e-07,)] [eta: 5:00:12, time (data): 0.387 (0.014)] l_pix: 4.1879e-03 
2025-04-24 22:39:56,859 INFO: [train..][epoch:473, iter: 118,300, lr:(8.904e-07,)] [eta: 4:59:11, time (data): 0.401 (0.024)] l_pix: 4.4324e-03 
2025-04-24 22:40:36,101 INFO: [train..][epoch:473, iter: 118,400, lr:(8.004e-07,)] [eta: 4:58:09, time (data): 0.392 (0.014)] l_pix: 3.1174e-03 
2025-04-24 22:41:15,197 INFO: [train..][epoch:473, iter: 118,500, lr:(7.158e-07,)] [eta: 4:57:08, time (data): 0.391 (0.014)] l_pix: 3.7281e-03 
2025-04-24 22:42:40,696 INFO: Validation FFHQ_val
	 # psnr: 26.4397	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7597	Best: 0.7598 @ 117000 iter

2025-04-24 22:43:20,890 INFO: [train..][epoch:474, iter: 118,600, lr:(6.366e-07,)] [eta: 4:56:30, time (data): 0.393 (0.015)] l_pix: 3.5759e-03 
2025-04-24 22:44:00,159 INFO: [train..][epoch:474, iter: 118,700, lr:(5.629e-07,)] [eta: 4:55:28, time (data): 0.393 (0.015)] l_pix: 3.6417e-03 
2025-04-24 22:44:40,507 INFO: [train..][epoch:475, iter: 118,800, lr:(4.945e-07,)] [eta: 4:54:28, time (data): 0.392 (0.015)] l_pix: 3.4216e-03 
2025-04-24 22:45:19,787 INFO: [train..][epoch:475, iter: 118,900, lr:(4.316e-07,)] [eta: 4:53:26, time (data): 0.393 (0.015)] l_pix: 3.8538e-03 
2025-04-24 22:45:58,913 INFO: [train..][epoch:475, iter: 119,000, lr:(3.742e-07,)] [eta: 4:52:25, time (data): 0.391 (0.015)] l_pix: 3.6293e-03 
2025-04-24 22:47:23,328 INFO: Validation FFHQ_val
	 # psnr: 26.4431	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7598	Best: 0.7598 @ 117000 iter

2025-04-24 22:48:03,649 INFO: [train..][epoch:476, iter: 119,100, lr:(3.222e-07,)] [eta: 4:51:46, time (data): 0.402 (0.025)] l_pix: 4.8269e-03 
2025-04-24 22:48:42,785 INFO: [train..][epoch:476, iter: 119,200, lr:(2.756e-07,)] [eta: 4:50:45, time (data): 0.387 (0.015)] l_pix: 3.8427e-03 
2025-04-24 22:49:23,025 INFO: [train..][epoch:477, iter: 119,300, lr:(2.345e-07,)] [eta: 4:49:44, time (data): 0.401 (0.025)] l_pix: 2.8160e-03 
2025-04-24 22:50:02,132 INFO: [train..][epoch:477, iter: 119,400, lr:(1.989e-07,)] [eta: 4:48:43, time (data): 0.390 (0.015)] l_pix: 2.9182e-03 
2025-04-24 22:50:41,209 INFO: [train..][epoch:477, iter: 119,500, lr:(1.687e-07,)] [eta: 4:47:42, time (data): 0.391 (0.014)] l_pix: 3.0469e-03 
2025-04-24 22:52:06,780 INFO: Validation FFHQ_val
	 # psnr: 26.4430	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7598	Best: 0.7598 @ 117000 iter

2025-04-24 22:52:46,889 INFO: [train..][epoch:478, iter: 119,600, lr:(1.440e-07,)] [eta: 4:47:03, time (data): 0.390 (0.014)] l_pix: 3.2834e-03 
2025-04-24 22:53:26,065 INFO: [train..][epoch:478, iter: 119,700, lr:(1.248e-07,)] [eta: 4:46:02, time (data): 0.392 (0.015)] l_pix: 3.1651e-03 
2025-04-24 22:54:06,268 INFO: [train..][epoch:479, iter: 119,800, lr:(1.111e-07,)] [eta: 4:45:01, time (data): 0.389 (0.015)] l_pix: 2.8793e-03 
2025-04-24 22:54:45,530 INFO: [train..][epoch:479, iter: 119,900, lr:(1.028e-07,)] [eta: 4:44:00, time (data): 0.392 (0.015)] l_pix: 3.1497e-03 
2025-04-24 22:55:24,763 INFO: [train..][epoch:479, iter: 120,000, lr:(1.000e-07,)] [eta: 4:42:59, time (data): 0.394 (0.014)] l_pix: 3.6997e-03 
2025-04-24 22:55:24,764 INFO: Saving models and training states.
2025-04-24 22:56:48,458 INFO: Validation FFHQ_val
	 # psnr: 26.4426	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7597	Best: 0.7598 @ 117000 iter

2025-04-24 22:57:28,534 INFO: [train..][epoch:480, iter: 120,100, lr:(1.000e-04,)] [eta: 4:42:19, time (data): 0.401 (0.025)] l_pix: 3.5426e-03 
2025-04-24 22:58:07,631 INFO: [train..][epoch:480, iter: 120,200, lr:(9.999e-05,)] [eta: 4:41:18, time (data): 0.383 (0.014)] l_pix: 3.2414e-03 
2025-04-24 22:58:47,859 INFO: [train..][epoch:481, iter: 120,300, lr:(9.998e-05,)] [eta: 4:40:18, time (data): 0.402 (0.025)] l_pix: 3.7320e-03 
2025-04-24 22:59:27,059 INFO: [train..][epoch:481, iter: 120,400, lr:(9.996e-05,)] [eta: 4:39:17, time (data): 0.392 (0.015)] l_pix: 4.2401e-03 
2025-04-24 23:00:06,264 INFO: [train..][epoch:481, iter: 120,500, lr:(9.993e-05,)] [eta: 4:38:16, time (data): 0.392 (0.014)] l_pix: 2.9803e-03 
2025-04-24 23:01:29,330 INFO: Validation FFHQ_val
	 # psnr: 26.4245	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7597	Best: 0.7598 @ 117000 iter

2025-04-24 23:02:09,501 INFO: [train..][epoch:482, iter: 120,600, lr:(9.990e-05,)] [eta: 4:37:35, time (data): 0.397 (0.020)] l_pix: 3.5559e-03 
2025-04-24 23:02:48,493 INFO: [train..][epoch:482, iter: 120,700, lr:(9.987e-05,)] [eta: 4:36:34, time (data): 0.390 (0.014)] l_pix: 4.1446e-03 
2025-04-24 23:03:28,724 INFO: [train..][epoch:483, iter: 120,800, lr:(9.983e-05,)] [eta: 4:35:34, time (data): 0.396 (0.020)] l_pix: 4.9641e-03 
2025-04-24 23:04:07,932 INFO: [train..][epoch:483, iter: 120,900, lr:(9.978e-05,)] [eta: 4:34:33, time (data): 0.392 (0.014)] l_pix: 3.7708e-03 
2025-04-24 23:04:46,825 INFO: [train..][epoch:483, iter: 121,000, lr:(9.973e-05,)] [eta: 4:33:32, time (data): 0.390 (0.014)] l_pix: 4.1437e-03 
2025-04-24 23:06:10,069 INFO: Validation FFHQ_val
	 # psnr: 26.4138	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7597	Best: 0.7598 @ 117000 iter

2025-04-24 23:06:50,336 INFO: [train..][epoch:484, iter: 121,100, lr:(9.967e-05,)] [eta: 4:32:52, time (data): 0.391 (0.014)] l_pix: 3.2519e-03 
2025-04-24 23:07:29,434 INFO: [train..][epoch:484, iter: 121,200, lr:(9.961e-05,)] [eta: 4:31:51, time (data): 0.391 (0.014)] l_pix: 3.1241e-03 
2025-04-24 23:08:09,571 INFO: [train..][epoch:485, iter: 121,300, lr:(9.954e-05,)] [eta: 4:30:50, time (data): 0.402 (0.026)] l_pix: 3.3873e-03 
2025-04-24 23:08:48,828 INFO: [train..][epoch:485, iter: 121,400, lr:(9.946e-05,)] [eta: 4:29:49, time (data): 0.397 (0.020)] l_pix: 3.3802e-03 
2025-04-24 23:09:27,889 INFO: [train..][epoch:485, iter: 121,500, lr:(9.939e-05,)] [eta: 4:28:49, time (data): 0.391 (0.015)] l_pix: 3.6891e-03 
2025-04-24 23:10:54,321 INFO: Validation FFHQ_val
	 # psnr: 26.4074	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7596	Best: 0.7598 @ 117000 iter

2025-04-24 23:11:34,720 INFO: [train..][epoch:486, iter: 121,600, lr:(9.930e-05,)] [eta: 4:28:09, time (data): 0.397 (0.020)] l_pix: 3.9813e-03 
2025-04-24 23:12:14,064 INFO: [train..][epoch:486, iter: 121,700, lr:(9.921e-05,)] [eta: 4:27:08, time (data): 0.393 (0.015)] l_pix: 3.4362e-03 
2025-04-24 23:12:54,303 INFO: [train..][epoch:487, iter: 121,800, lr:(9.912e-05,)] [eta: 4:26:07, time (data): 0.398 (0.021)] l_pix: 2.8972e-03 
2025-04-24 23:13:33,252 INFO: [train..][epoch:487, iter: 121,900, lr:(9.902e-05,)] [eta: 4:25:07, time (data): 0.389 (0.015)] l_pix: 3.3342e-03 
2025-04-24 23:14:12,400 INFO: [train..][epoch:487, iter: 122,000, lr:(9.891e-05,)] [eta: 4:24:06, time (data): 0.390 (0.015)] l_pix: 3.3066e-03 
2025-04-24 23:15:37,534 INFO: Validation FFHQ_val
	 # psnr: 26.4071	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7596	Best: 0.7598 @ 117000 iter

2025-04-24 23:16:17,820 INFO: [train..][epoch:488, iter: 122,100, lr:(9.880e-05,)] [eta: 4:23:25, time (data): 0.392 (0.015)] l_pix: 4.0131e-03 
2025-04-24 23:16:56,922 INFO: [train..][epoch:488, iter: 122,200, lr:(9.868e-05,)] [eta: 4:22:25, time (data): 0.391 (0.015)] l_pix: 3.3306e-03 
2025-04-24 23:17:37,154 INFO: [train..][epoch:489, iter: 122,300, lr:(9.856e-05,)] [eta: 4:21:24, time (data): 0.404 (0.026)] l_pix: 3.4226e-03 
2025-04-24 23:18:16,255 INFO: [train..][epoch:489, iter: 122,400, lr:(9.843e-05,)] [eta: 4:20:24, time (data): 0.397 (0.020)] l_pix: 3.3005e-03 
2025-04-24 23:18:55,509 INFO: [train..][epoch:489, iter: 122,500, lr:(9.830e-05,)] [eta: 4:19:23, time (data): 0.392 (0.015)] l_pix: 5.0412e-03 
2025-04-24 23:20:18,728 INFO: Validation FFHQ_val
	 # psnr: 26.4006	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7595	Best: 0.7598 @ 117000 iter

2025-04-24 23:20:59,018 INFO: [train..][epoch:490, iter: 122,600, lr:(9.816e-05,)] [eta: 4:18:42, time (data): 0.398 (0.020)] l_pix: 3.3125e-03 
2025-04-24 23:21:38,016 INFO: [train..][epoch:490, iter: 122,700, lr:(9.802e-05,)] [eta: 4:17:41, time (data): 0.390 (0.014)] l_pix: 3.8454e-03 
2025-04-24 23:22:18,276 INFO: [train..][epoch:491, iter: 122,800, lr:(9.787e-05,)] [eta: 4:16:41, time (data): 0.397 (0.020)] l_pix: 3.1491e-03 
2025-04-24 23:22:57,299 INFO: [train..][epoch:491, iter: 122,900, lr:(9.772e-05,)] [eta: 4:15:40, time (data): 0.391 (0.015)] l_pix: 3.7900e-03 
2025-04-24 23:23:36,421 INFO: [train..][epoch:491, iter: 123,000, lr:(9.756e-05,)] [eta: 4:14:40, time (data): 0.391 (0.014)] l_pix: 3.2781e-03 
2025-04-24 23:24:58,539 INFO: Validation FFHQ_val
	 # psnr: 26.4046	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7595	Best: 0.7598 @ 117000 iter

2025-04-24 23:25:38,712 INFO: [train..][epoch:492, iter: 123,100, lr:(9.739e-05,)] [eta: 4:13:57, time (data): 0.390 (0.014)] l_pix: 4.0954e-03 
2025-04-24 23:26:17,864 INFO: [train..][epoch:492, iter: 123,200, lr:(9.722e-05,)] [eta: 4:12:57, time (data): 0.391 (0.014)] l_pix: 4.4550e-03 
2025-04-24 23:26:57,997 INFO: [train..][epoch:493, iter: 123,300, lr:(9.705e-05,)] [eta: 4:11:57, time (data): 0.403 (0.027)] l_pix: 3.1749e-03 
2025-04-24 23:27:37,097 INFO: [train..][epoch:493, iter: 123,400, lr:(9.687e-05,)] [eta: 4:10:56, time (data): 0.397 (0.021)] l_pix: 4.6276e-03 
2025-04-24 23:28:16,072 INFO: [train..][epoch:493, iter: 123,500, lr:(9.668e-05,)] [eta: 4:09:56, time (data): 0.389 (0.014)] l_pix: 2.6186e-03 
2025-04-24 23:29:39,258 INFO: Validation FFHQ_val
	 # psnr: 26.4051	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7595	Best: 0.7598 @ 117000 iter

2025-04-24 23:30:19,392 INFO: [train..][epoch:494, iter: 123,600, lr:(9.649e-05,)] [eta: 4:09:14, time (data): 0.396 (0.020)] l_pix: 3.5207e-03 
2025-04-24 23:30:58,406 INFO: [train..][epoch:494, iter: 123,700, lr:(9.630e-05,)] [eta: 4:08:13, time (data): 0.390 (0.015)] l_pix: 4.8140e-03 
2025-04-24 23:31:38,683 INFO: [train..][epoch:495, iter: 123,800, lr:(9.610e-05,)] [eta: 4:07:13, time (data): 0.397 (0.021)] l_pix: 4.3074e-03 
2025-04-24 23:32:17,682 INFO: [train..][epoch:495, iter: 123,900, lr:(9.589e-05,)] [eta: 4:06:13, time (data): 0.390 (0.014)] l_pix: 2.9719e-03 
2025-04-24 23:32:56,810 INFO: [train..][epoch:495, iter: 124,000, lr:(9.568e-05,)] [eta: 4:05:13, time (data): 0.390 (0.014)] l_pix: 4.1281e-03 
2025-04-24 23:34:21,817 INFO: Validation FFHQ_val
	 # psnr: 26.4047	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7595	Best: 0.7598 @ 117000 iter

2025-04-24 23:35:01,845 INFO: [train..][epoch:496, iter: 124,100, lr:(9.547e-05,)] [eta: 4:04:30, time (data): 0.388 (0.014)] l_pix: 4.0723e-03 
2025-04-24 23:35:40,827 INFO: [train..][epoch:496, iter: 124,200, lr:(9.525e-05,)] [eta: 4:03:30, time (data): 0.389 (0.014)] l_pix: 3.5559e-03 
2025-04-24 23:36:20,982 INFO: [train..][epoch:497, iter: 124,300, lr:(9.502e-05,)] [eta: 4:02:30, time (data): 0.404 (0.028)] l_pix: 3.5309e-03 
2025-04-24 23:36:59,969 INFO: [train..][epoch:497, iter: 124,400, lr:(9.479e-05,)] [eta: 4:01:30, time (data): 0.396 (0.021)] l_pix: 3.8971e-03 
2025-04-24 23:37:39,065 INFO: [train..][epoch:497, iter: 124,500, lr:(9.456e-05,)] [eta: 4:00:30, time (data): 0.391 (0.014)] l_pix: 4.0465e-03 
2025-04-24 23:39:03,855 INFO: Validation FFHQ_val
	 # psnr: 26.4083	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7596	Best: 0.7598 @ 117000 iter

2025-04-24 23:39:44,234 INFO: [train..][epoch:498, iter: 124,600, lr:(9.432e-05,)] [eta: 3:59:47, time (data): 0.398 (0.021)] l_pix: 4.1634e-03 
2025-04-24 23:40:23,620 INFO: [train..][epoch:498, iter: 124,700, lr:(9.407e-05,)] [eta: 3:58:47, time (data): 0.394 (0.015)] l_pix: 3.4806e-03 
2025-04-24 23:41:03,867 INFO: [train..][epoch:499, iter: 124,800, lr:(9.382e-05,)] [eta: 3:57:47, time (data): 0.399 (0.021)] l_pix: 2.9268e-03 
2025-04-24 23:41:42,938 INFO: [train..][epoch:499, iter: 124,900, lr:(9.357e-05,)] [eta: 3:56:47, time (data): 0.391 (0.015)] l_pix: 4.1684e-03 
2025-04-24 23:42:22,030 INFO: [train..][epoch:499, iter: 125,000, lr:(9.331e-05,)] [eta: 3:55:47, time (data): 0.391 (0.015)] l_pix: 3.5986e-03 
2025-04-24 23:42:22,031 INFO: Saving models and training states.
2025-04-24 23:43:46,271 INFO: Validation FFHQ_val
	 # psnr: 26.4105	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7596	Best: 0.7598 @ 117000 iter

2025-04-24 23:44:26,667 INFO: [train..][epoch:500, iter: 125,100, lr:(9.305e-05,)] [eta: 3:55:04, time (data): 0.392 (0.014)] l_pix: 3.5253e-03 
2025-04-24 23:45:05,774 INFO: [train..][epoch:500, iter: 125,200, lr:(9.278e-05,)] [eta: 3:54:03, time (data): 0.392 (0.014)] l_pix: 3.9209e-03 
2025-04-24 23:45:46,015 INFO: [train..][epoch:501, iter: 125,300, lr:(9.250e-05,)] [eta: 3:53:04, time (data): 0.406 (0.030)] l_pix: 4.5186e-03 
2025-04-24 23:46:25,154 INFO: [train..][epoch:501, iter: 125,400, lr:(9.223e-05,)] [eta: 3:52:03, time (data): 0.398 (0.021)] l_pix: 3.3208e-03 
2025-04-24 23:47:04,302 INFO: [train..][epoch:501, iter: 125,500, lr:(9.194e-05,)] [eta: 3:51:03, time (data): 0.391 (0.014)] l_pix: 3.7938e-03 
2025-04-24 23:48:27,309 INFO: Validation FFHQ_val
	 # psnr: 26.4146	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7596	Best: 0.7598 @ 117000 iter

2025-04-24 23:49:07,570 INFO: [train..][epoch:502, iter: 125,600, lr:(9.166e-05,)] [eta: 3:50:20, time (data): 0.398 (0.021)] l_pix: 3.7477e-03 
2025-04-24 23:49:46,460 INFO: [train..][epoch:502, iter: 125,700, lr:(9.137e-05,)] [eta: 3:49:20, time (data): 0.389 (0.014)] l_pix: 4.3147e-03 
2025-04-24 23:50:26,813 INFO: [train..][epoch:503, iter: 125,800, lr:(9.107e-05,)] [eta: 3:48:20, time (data): 0.397 (0.021)] l_pix: 4.5238e-03 
2025-04-24 23:51:06,119 INFO: [train..][epoch:503, iter: 125,900, lr:(9.077e-05,)] [eta: 3:47:20, time (data): 0.393 (0.016)] l_pix: 4.4751e-03 
2025-04-24 23:51:45,292 INFO: [train..][epoch:503, iter: 126,000, lr:(9.046e-05,)] [eta: 3:46:20, time (data): 0.392 (0.015)] l_pix: 3.0027e-03 
2025-04-24 23:53:08,376 INFO: Validation FFHQ_val
	 # psnr: 26.4171	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7597	Best: 0.7598 @ 117000 iter

2025-04-24 23:53:48,677 INFO: [train..][epoch:504, iter: 126,100, lr:(9.015e-05,)] [eta: 3:45:36, time (data): 0.392 (0.014)] l_pix: 3.2924e-03 
2025-04-24 23:54:27,889 INFO: [train..][epoch:504, iter: 126,200, lr:(8.984e-05,)] [eta: 3:44:36, time (data): 0.392 (0.014)] l_pix: 2.7452e-03 
2025-04-24 23:55:08,216 INFO: [train..][epoch:505, iter: 126,300, lr:(8.952e-05,)] [eta: 3:43:37, time (data): 0.408 (0.030)] l_pix: 3.6342e-03 
2025-04-24 23:55:47,265 INFO: [train..][epoch:505, iter: 126,400, lr:(8.920e-05,)] [eta: 3:42:37, time (data): 0.398 (0.021)] l_pix: 3.6751e-03 
2025-04-24 23:56:26,256 INFO: [train..][epoch:505, iter: 126,500, lr:(8.887e-05,)] [eta: 3:41:37, time (data): 0.388 (0.014)] l_pix: 3.5995e-03 
2025-04-24 23:57:49,452 INFO: Validation FFHQ_val
	 # psnr: 26.4143	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7597	Best: 0.7598 @ 117000 iter

2025-04-24 23:58:29,804 INFO: [train..][epoch:506, iter: 126,600, lr:(8.854e-05,)] [eta: 3:40:53, time (data): 0.397 (0.021)] l_pix: 4.1792e-03 
2025-04-24 23:59:09,059 INFO: [train..][epoch:506, iter: 126,700, lr:(8.820e-05,)] [eta: 3:39:53, time (data): 0.392 (0.015)] l_pix: 3.2156e-03 
2025-04-24 23:59:49,190 INFO: [train..][epoch:507, iter: 126,800, lr:(8.787e-05,)] [eta: 3:38:53, time (data): 0.397 (0.021)] l_pix: 4.1791e-03 
2025-04-25 00:00:28,257 INFO: [train..][epoch:507, iter: 126,900, lr:(8.752e-05,)] [eta: 3:37:53, time (data): 0.390 (0.015)] l_pix: 4.6069e-03 
2025-04-25 00:01:07,334 INFO: [train..][epoch:507, iter: 127,000, lr:(8.717e-05,)] [eta: 3:36:54, time (data): 0.390 (0.015)] l_pix: 3.2543e-03 
2025-04-25 00:02:31,381 INFO: Validation FFHQ_val
	 # psnr: 26.4166	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7597	Best: 0.7598 @ 117000 iter

2025-04-25 00:03:11,623 INFO: [train..][epoch:508, iter: 127,100, lr:(8.682e-05,)] [eta: 3:36:09, time (data): 0.389 (0.015)] l_pix: 3.4501e-03 
2025-04-25 00:03:50,678 INFO: [train..][epoch:508, iter: 127,200, lr:(8.647e-05,)] [eta: 3:35:09, time (data): 0.390 (0.015)] l_pix: 2.4575e-03 
2025-04-25 00:04:30,870 INFO: [train..][epoch:509, iter: 127,300, lr:(8.611e-05,)] [eta: 3:34:10, time (data): 0.408 (0.032)] l_pix: 3.1111e-03 
2025-04-25 00:05:09,968 INFO: [train..][epoch:509, iter: 127,400, lr:(8.574e-05,)] [eta: 3:33:10, time (data): 0.398 (0.022)] l_pix: 4.3819e-03 
2025-04-25 00:05:49,227 INFO: [train..][epoch:509, iter: 127,500, lr:(8.537e-05,)] [eta: 3:32:10, time (data): 0.391 (0.015)] l_pix: 3.0540e-03 
2025-04-25 00:07:11,630 INFO: Validation FFHQ_val
	 # psnr: 26.4206	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7597	Best: 0.7598 @ 117000 iter

2025-04-25 00:07:51,748 INFO: [train..][epoch:510, iter: 127,600, lr:(8.500e-05,)] [eta: 3:31:25, time (data): 0.397 (0.021)] l_pix: 3.3596e-03 
2025-04-25 00:08:31,053 INFO: [train..][epoch:510, iter: 127,700, lr:(8.463e-05,)] [eta: 3:30:26, time (data): 0.391 (0.015)] l_pix: 2.9815e-03 
2025-04-25 00:09:11,326 INFO: [train..][epoch:511, iter: 127,800, lr:(8.425e-05,)] [eta: 3:29:26, time (data): 0.398 (0.021)] l_pix: 3.8202e-03 
2025-04-25 00:09:50,405 INFO: [train..][epoch:511, iter: 127,900, lr:(8.386e-05,)] [eta: 3:28:27, time (data): 0.390 (0.015)] l_pix: 3.0556e-03 
2025-04-25 00:10:29,572 INFO: [train..][epoch:511, iter: 128,000, lr:(8.348e-05,)] [eta: 3:27:27, time (data): 0.391 (0.015)] l_pix: 3.6706e-03 
2025-04-25 00:11:51,242 INFO: Validation FFHQ_val
	 # psnr: 26.4218	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7598	Best: 0.7598 @ 128000 iter

2025-04-25 00:12:31,463 INFO: [train..][epoch:512, iter: 128,100, lr:(8.309e-05,)] [eta: 3:26:42, time (data): 0.391 (0.015)] l_pix: 3.5376e-03 
2025-04-25 00:13:10,598 INFO: [train..][epoch:512, iter: 128,200, lr:(8.269e-05,)] [eta: 3:25:42, time (data): 0.391 (0.015)] l_pix: 3.0931e-03 
2025-04-25 00:13:50,973 INFO: [train..][epoch:513, iter: 128,300, lr:(8.229e-05,)] [eta: 3:24:43, time (data): 0.412 (0.033)] l_pix: 3.5356e-03 
2025-04-25 00:14:30,189 INFO: [train..][epoch:513, iter: 128,400, lr:(8.189e-05,)] [eta: 3:23:43, time (data): 0.400 (0.022)] l_pix: 3.4478e-03 
2025-04-25 00:15:09,299 INFO: [train..][epoch:513, iter: 128,500, lr:(8.149e-05,)] [eta: 3:22:44, time (data): 0.391 (0.015)] l_pix: 3.5354e-03 
2025-04-25 00:16:30,219 INFO: Validation FFHQ_val
	 # psnr: 26.4206	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7598	Best: 0.7598 @ 128500 iter

2025-04-25 00:17:10,409 INFO: [train..][epoch:514, iter: 128,600, lr:(8.108e-05,)] [eta: 3:21:58, time (data): 0.398 (0.022)] l_pix: 3.4856e-03 
2025-04-25 00:17:49,593 INFO: [train..][epoch:514, iter: 128,700, lr:(8.067e-05,)] [eta: 3:20:58, time (data): 0.392 (0.014)] l_pix: 2.9901e-03 
2025-04-25 00:18:29,823 INFO: [train..][epoch:515, iter: 128,800, lr:(8.025e-05,)] [eta: 3:19:59, time (data): 0.398 (0.021)] l_pix: 3.1137e-03 
2025-04-25 00:19:09,194 INFO: [train..][epoch:515, iter: 128,900, lr:(7.984e-05,)] [eta: 3:19:00, time (data): 0.392 (0.014)] l_pix: 3.5149e-03 
2025-04-25 00:19:48,194 INFO: [train..][epoch:515, iter: 129,000, lr:(7.941e-05,)] [eta: 3:18:00, time (data): 0.391 (0.014)] l_pix: 4.1350e-03 
2025-04-25 00:21:08,611 INFO: Validation FFHQ_val
	 # psnr: 26.4249	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7598	Best: 0.7598 @ 129000 iter

2025-04-25 00:21:48,765 INFO: [train..][epoch:516, iter: 129,100, lr:(7.899e-05,)] [eta: 3:17:14, time (data): 0.390 (0.015)] l_pix: 4.1363e-03 
2025-04-25 00:22:27,636 INFO: [train..][epoch:516, iter: 129,200, lr:(7.856e-05,)] [eta: 3:16:14, time (data): 0.389 (0.015)] l_pix: 3.8028e-03 
2025-04-25 00:23:07,902 INFO: [train..][epoch:517, iter: 129,300, lr:(7.813e-05,)] [eta: 3:15:15, time (data): 0.411 (0.035)] l_pix: 3.5844e-03 
2025-04-25 00:23:47,110 INFO: [train..][epoch:517, iter: 129,400, lr:(7.770e-05,)] [eta: 3:14:16, time (data): 0.399 (0.022)] l_pix: 4.6348e-03 
2025-04-25 00:24:26,219 INFO: [train..][epoch:517, iter: 129,500, lr:(7.726e-05,)] [eta: 3:13:16, time (data): 0.390 (0.014)] l_pix: 3.5409e-03 
2025-04-25 00:25:47,294 INFO: Validation FFHQ_val
	 # psnr: 26.4236	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7599	Best: 0.7599 @ 129500 iter

2025-04-25 00:26:27,667 INFO: [train..][epoch:518, iter: 129,600, lr:(7.682e-05,)] [eta: 3:12:30, time (data): 0.399 (0.022)] l_pix: 3.5844e-03 
2025-04-25 00:27:06,788 INFO: [train..][epoch:518, iter: 129,700, lr:(7.638e-05,)] [eta: 3:11:31, time (data): 0.391 (0.014)] l_pix: 2.2674e-03 
2025-04-25 00:27:46,970 INFO: [train..][epoch:519, iter: 129,800, lr:(7.593e-05,)] [eta: 3:10:32, time (data): 0.398 (0.022)] l_pix: 3.4541e-03 
2025-04-25 00:28:26,120 INFO: [train..][epoch:519, iter: 129,900, lr:(7.548e-05,)] [eta: 3:09:32, time (data): 0.392 (0.015)] l_pix: 3.5058e-03 
2025-04-25 00:29:05,141 INFO: [train..][epoch:519, iter: 130,000, lr:(7.503e-05,)] [eta: 3:08:33, time (data): 0.391 (0.015)] l_pix: 4.0991e-03 
2025-04-25 00:29:05,142 INFO: Saving models and training states.
2025-04-25 00:30:29,582 INFO: Validation FFHQ_val
	 # psnr: 26.4221	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7599	Best: 0.7599 @ 130000 iter

2025-04-25 00:31:09,839 INFO: [train..][epoch:520, iter: 130,100, lr:(7.458e-05,)] [eta: 3:07:47, time (data): 0.389 (0.014)] l_pix: 4.1505e-03 
2025-04-25 00:31:48,857 INFO: [train..][epoch:520, iter: 130,200, lr:(7.412e-05,)] [eta: 3:06:48, time (data): 0.390 (0.014)] l_pix: 3.7420e-03 
2025-04-25 00:32:29,016 INFO: [train..][epoch:521, iter: 130,300, lr:(7.366e-05,)] [eta: 3:05:48, time (data): 0.412 (0.035)] l_pix: 3.7945e-03 
2025-04-25 00:33:08,104 INFO: [train..][epoch:521, iter: 130,400, lr:(7.320e-05,)] [eta: 3:04:49, time (data): 0.398 (0.022)] l_pix: 3.1277e-03 
2025-04-25 00:33:47,099 INFO: [train..][epoch:521, iter: 130,500, lr:(7.273e-05,)] [eta: 3:03:50, time (data): 0.388 (0.014)] l_pix: 3.4169e-03 
2025-04-25 00:35:08,762 INFO: Validation FFHQ_val
	 # psnr: 26.4207	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7599	Best: 0.7599 @ 130000 iter

2025-04-25 00:35:48,990 INFO: [train..][epoch:522, iter: 130,600, lr:(7.226e-05,)] [eta: 3:03:03, time (data): 0.398 (0.022)] l_pix: 2.7149e-03 
2025-04-25 00:36:28,140 INFO: [train..][epoch:522, iter: 130,700, lr:(7.179e-05,)] [eta: 3:02:04, time (data): 0.393 (0.015)] l_pix: 3.6097e-03 
2025-04-25 00:37:08,381 INFO: [train..][epoch:523, iter: 130,800, lr:(7.132e-05,)] [eta: 3:01:05, time (data): 0.399 (0.022)] l_pix: 4.2313e-03 
2025-04-25 00:37:47,717 INFO: [train..][epoch:523, iter: 130,900, lr:(7.085e-05,)] [eta: 3:00:06, time (data): 0.394 (0.015)] l_pix: 3.4648e-03 
2025-04-25 00:38:26,793 INFO: [train..][epoch:523, iter: 131,000, lr:(7.037e-05,)] [eta: 2:59:07, time (data): 0.392 (0.015)] l_pix: 4.0767e-03 
2025-04-25 00:39:51,623 INFO: Validation FFHQ_val
	 # psnr: 26.4270	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7600	Best: 0.7600 @ 131000 iter

2025-04-25 00:40:31,853 INFO: [train..][epoch:524, iter: 131,100, lr:(6.989e-05,)] [eta: 2:58:20, time (data): 0.389 (0.015)] l_pix: 3.9665e-03 
2025-04-25 00:41:10,950 INFO: [train..][epoch:524, iter: 131,200, lr:(6.941e-05,)] [eta: 2:57:21, time (data): 0.390 (0.015)] l_pix: 3.7846e-03 
2025-04-25 00:41:51,151 INFO: [train..][epoch:525, iter: 131,300, lr:(6.893e-05,)] [eta: 2:56:22, time (data): 0.392 (0.015)] l_pix: 3.0996e-03 
2025-04-25 00:42:30,238 INFO: [train..][epoch:525, iter: 131,400, lr:(6.844e-05,)] [eta: 2:55:23, time (data): 0.391 (0.015)] l_pix: 3.1587e-03 
2025-04-25 00:43:09,430 INFO: [train..][epoch:525, iter: 131,500, lr:(6.796e-05,)] [eta: 2:54:24, time (data): 0.393 (0.015)] l_pix: 4.8667e-03 
2025-04-25 00:44:34,306 INFO: Validation FFHQ_val
	 # psnr: 26.4276	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7600	Best: 0.7600 @ 131000 iter

2025-04-25 00:45:14,592 INFO: [train..][epoch:526, iter: 131,600, lr:(6.747e-05,)] [eta: 2:53:37, time (data): 0.400 (0.022)] l_pix: 3.4981e-03 
2025-04-25 00:45:53,632 INFO: [train..][epoch:526, iter: 131,700, lr:(6.697e-05,)] [eta: 2:52:38, time (data): 0.390 (0.015)] l_pix: 2.5302e-03 
2025-04-25 00:46:33,932 INFO: [train..][epoch:527, iter: 131,800, lr:(6.648e-05,)] [eta: 2:51:39, time (data): 0.399 (0.023)] l_pix: 3.0660e-03 
2025-04-25 00:47:12,894 INFO: [train..][epoch:527, iter: 131,900, lr:(6.599e-05,)] [eta: 2:50:40, time (data): 0.390 (0.014)] l_pix: 4.2830e-03 
2025-04-25 00:47:52,065 INFO: [train..][epoch:527, iter: 132,000, lr:(6.549e-05,)] [eta: 2:49:41, time (data): 0.391 (0.015)] l_pix: 4.5357e-03 
2025-04-25 00:49:16,346 INFO: Validation FFHQ_val
	 # psnr: 26.4277	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7600	Best: 0.7600 @ 132000 iter

2025-04-25 00:49:56,695 INFO: [train..][epoch:528, iter: 132,100, lr:(6.499e-05,)] [eta: 2:48:54, time (data): 0.393 (0.014)] l_pix: 3.1708e-03 
2025-04-25 00:50:35,757 INFO: [train..][epoch:528, iter: 132,200, lr:(6.449e-05,)] [eta: 2:47:55, time (data): 0.391 (0.014)] l_pix: 3.2890e-03 
2025-04-25 00:51:15,920 INFO: [train..][epoch:529, iter: 132,300, lr:(6.399e-05,)] [eta: 2:46:56, time (data): 0.389 (0.014)] l_pix: 4.2733e-03 
2025-04-25 00:51:54,929 INFO: [train..][epoch:529, iter: 132,400, lr:(6.349e-05,)] [eta: 2:45:57, time (data): 0.390 (0.015)] l_pix: 3.4569e-03 
2025-04-25 00:52:33,951 INFO: [train..][epoch:529, iter: 132,500, lr:(6.298e-05,)] [eta: 2:44:58, time (data): 0.388 (0.014)] l_pix: 4.1751e-03 
2025-04-25 00:54:00,226 INFO: Validation FFHQ_val
	 # psnr: 26.4302	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7600	Best: 0.7600 @ 132500 iter

2025-04-25 00:54:40,329 INFO: [train..][epoch:530, iter: 132,600, lr:(6.248e-05,)] [eta: 2:44:11, time (data): 0.397 (0.023)] l_pix: 3.3471e-03 
2025-04-25 00:55:19,245 INFO: [train..][epoch:530, iter: 132,700, lr:(6.197e-05,)] [eta: 2:43:12, time (data): 0.387 (0.014)] l_pix: 3.5294e-03 
2025-04-25 00:55:59,445 INFO: [train..][epoch:531, iter: 132,800, lr:(6.146e-05,)] [eta: 2:42:13, time (data): 0.398 (0.022)] l_pix: 3.5887e-03 
2025-04-25 00:56:38,576 INFO: [train..][epoch:531, iter: 132,900, lr:(6.095e-05,)] [eta: 2:41:14, time (data): 0.390 (0.015)] l_pix: 3.7009e-03 
2025-04-25 00:57:17,692 INFO: [train..][epoch:531, iter: 133,000, lr:(6.044e-05,)] [eta: 2:40:15, time (data): 0.391 (0.015)] l_pix: 3.6190e-03 
2025-04-25 00:58:40,903 INFO: Validation FFHQ_val
	 # psnr: 26.4318	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7600	Best: 0.7600 @ 133000 iter

2025-04-25 00:59:21,106 INFO: [train..][epoch:532, iter: 133,100, lr:(5.993e-05,)] [eta: 2:39:27, time (data): 0.389 (0.015)] l_pix: 3.0828e-03 
2025-04-25 01:00:00,085 INFO: [train..][epoch:532, iter: 133,200, lr:(5.941e-05,)] [eta: 2:38:28, time (data): 0.390 (0.015)] l_pix: 3.4280e-03 
2025-04-25 01:00:40,432 INFO: [train..][epoch:533, iter: 133,300, lr:(5.890e-05,)] [eta: 2:37:30, time (data): 0.388 (0.014)] l_pix: 4.1042e-03 
2025-04-25 01:01:19,583 INFO: [train..][epoch:533, iter: 133,400, lr:(5.839e-05,)] [eta: 2:36:31, time (data): 0.391 (0.015)] l_pix: 3.3815e-03 
2025-04-25 01:01:58,655 INFO: [train..][epoch:533, iter: 133,500, lr:(5.787e-05,)] [eta: 2:35:32, time (data): 0.390 (0.015)] l_pix: 2.6830e-03 
2025-04-25 01:03:21,593 INFO: Validation FFHQ_val
	 # psnr: 26.4310	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7600	Best: 0.7600 @ 133500 iter

2025-04-25 01:04:01,976 INFO: [train..][epoch:534, iter: 133,600, lr:(5.735e-05,)] [eta: 2:34:44, time (data): 0.400 (0.023)] l_pix: 4.2141e-03 
2025-04-25 01:04:41,075 INFO: [train..][epoch:534, iter: 133,700, lr:(5.683e-05,)] [eta: 2:33:45, time (data): 0.392 (0.015)] l_pix: 5.1618e-03 
2025-04-25 01:05:21,020 INFO: [train..][epoch:535, iter: 133,800, lr:(5.632e-05,)] [eta: 2:32:46, time (data): 0.398 (0.023)] l_pix: 4.6002e-03 
2025-04-25 01:06:00,193 INFO: [train..][epoch:535, iter: 133,900, lr:(5.580e-05,)] [eta: 2:31:48, time (data): 0.391 (0.015)] l_pix: 3.2187e-03 
2025-04-25 01:06:39,434 INFO: [train..][epoch:535, iter: 134,000, lr:(5.528e-05,)] [eta: 2:30:49, time (data): 0.392 (0.015)] l_pix: 3.6164e-03 
2025-04-25 01:08:02,264 INFO: Validation FFHQ_val
	 # psnr: 26.4391	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7601	Best: 0.7601 @ 134000 iter

2025-04-25 01:08:42,363 INFO: [train..][epoch:536, iter: 134,100, lr:(5.476e-05,)] [eta: 2:30:00, time (data): 0.389 (0.014)] l_pix: 3.4162e-03 
2025-04-25 01:09:21,543 INFO: [train..][epoch:536, iter: 134,200, lr:(5.423e-05,)] [eta: 2:29:02, time (data): 0.391 (0.015)] l_pix: 3.4219e-03 
2025-04-25 01:10:01,767 INFO: [train..][epoch:537, iter: 134,300, lr:(5.371e-05,)] [eta: 2:28:03, time (data): 0.387 (0.015)] l_pix: 2.6884e-03 
2025-04-25 01:10:40,993 INFO: [train..][epoch:537, iter: 134,400, lr:(5.319e-05,)] [eta: 2:27:05, time (data): 0.391 (0.015)] l_pix: 3.5871e-03 
2025-04-25 01:11:20,033 INFO: [train..][epoch:537, iter: 134,500, lr:(5.267e-05,)] [eta: 2:26:06, time (data): 0.392 (0.014)] l_pix: 3.2510e-03 
2025-04-25 01:12:43,178 INFO: Validation FFHQ_val
	 # psnr: 26.4411	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7602	Best: 0.7602 @ 134500 iter

2025-04-25 01:13:23,326 INFO: [train..][epoch:538, iter: 134,600, lr:(5.215e-05,)] [eta: 2:25:17, time (data): 0.399 (0.023)] l_pix: 4.0826e-03 
2025-04-25 01:14:02,455 INFO: [train..][epoch:538, iter: 134,700, lr:(5.162e-05,)] [eta: 2:24:19, time (data): 0.394 (0.014)] l_pix: 3.1082e-03 
2025-04-25 01:14:42,570 INFO: [train..][epoch:539, iter: 134,800, lr:(5.110e-05,)] [eta: 2:23:20, time (data): 0.399 (0.023)] l_pix: 3.6798e-03 
2025-04-25 01:15:21,714 INFO: [train..][epoch:539, iter: 134,900, lr:(5.058e-05,)] [eta: 2:22:22, time (data): 0.391 (0.014)] l_pix: 3.2545e-03 
2025-04-25 01:16:01,011 INFO: [train..][epoch:539, iter: 135,000, lr:(5.006e-05,)] [eta: 2:21:23, time (data): 0.393 (0.015)] l_pix: 3.7934e-03 
2025-04-25 01:16:01,012 INFO: Saving models and training states.
2025-04-25 01:17:23,625 INFO: Validation FFHQ_val
	 # psnr: 26.4407	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7602	Best: 0.7602 @ 135000 iter

2025-04-25 01:18:03,754 INFO: [train..][epoch:540, iter: 135,100, lr:(4.953e-05,)] [eta: 2:20:34, time (data): 0.389 (0.015)] l_pix: 4.0209e-03 
2025-04-25 01:18:42,970 INFO: [train..][epoch:540, iter: 135,200, lr:(4.901e-05,)] [eta: 2:19:35, time (data): 0.391 (0.015)] l_pix: 2.9323e-03 
2025-04-25 01:19:23,185 INFO: [train..][epoch:541, iter: 135,300, lr:(4.849e-05,)] [eta: 2:18:37, time (data): 0.393 (0.014)] l_pix: 4.0690e-03 
2025-04-25 01:20:02,336 INFO: [train..][epoch:541, iter: 135,400, lr:(4.796e-05,)] [eta: 2:17:38, time (data): 0.392 (0.015)] l_pix: 3.9484e-03 
2025-04-25 01:20:41,292 INFO: [train..][epoch:541, iter: 135,500, lr:(4.744e-05,)] [eta: 2:16:40, time (data): 0.388 (0.014)] l_pix: 2.8000e-03 
2025-04-25 01:22:03,926 INFO: Validation FFHQ_val
	 # psnr: 26.4420	Best: 26.4454 @ 117500 iter
	 # niqe: 0.7602	Best: 0.7602 @ 135500 iter

2025-04-25 01:22:44,358 INFO: [train..][epoch:542, iter: 135,600, lr:(4.692e-05,)] [eta: 2:15:50, time (data): 0.401 (0.024)] l_pix: 4.3941e-03 
2025-04-25 01:23:23,654 INFO: [train..][epoch:542, iter: 135,700, lr:(4.640e-05,)] [eta: 2:14:52, time (data): 0.390 (0.015)] l_pix: 3.3981e-03 
2025-04-25 01:24:04,149 INFO: [train..][epoch:543, iter: 135,800, lr:(4.588e-05,)] [eta: 2:13:54, time (data): 0.402 (0.024)] l_pix: 3.3639e-03 
2025-04-25 01:24:43,173 INFO: [train..][epoch:543, iter: 135,900, lr:(4.535e-05,)] [eta: 2:12:55, time (data): 0.388 (0.015)] l_pix: 4.2975e-03 
2025-04-25 01:25:22,166 INFO: [train..][epoch:543, iter: 136,000, lr:(4.483e-05,)] [eta: 2:11:57, time (data): 0.390 (0.015)] l_pix: 3.4912e-03 
2025-04-25 01:26:46,240 INFO: Validation FFHQ_val
	 # psnr: 26.4469	Best: 26.4469 @ 136000 iter
	 # niqe: 0.7602	Best: 0.7602 @ 136000 iter

2025-04-25 01:27:26,615 INFO: [train..][epoch:544, iter: 136,100, lr:(4.431e-05,)] [eta: 2:11:07, time (data): 0.390 (0.014)] l_pix: 3.6246e-03 
2025-04-25 01:28:05,815 INFO: [train..][epoch:544, iter: 136,200, lr:(4.379e-05,)] [eta: 2:10:09, time (data): 0.392 (0.015)] l_pix: 3.5214e-03 
2025-04-25 01:28:46,117 INFO: [train..][epoch:545, iter: 136,300, lr:(4.328e-05,)] [eta: 2:09:11, time (data): 0.392 (0.015)] l_pix: 3.4361e-03 
2025-04-25 01:29:25,400 INFO: [train..][epoch:545, iter: 136,400, lr:(4.276e-05,)] [eta: 2:08:12, time (data): 0.393 (0.015)] l_pix: 3.4671e-03 
2025-04-25 01:30:04,567 INFO: [train..][epoch:545, iter: 136,500, lr:(4.224e-05,)] [eta: 2:07:14, time (data): 0.392 (0.014)] l_pix: 4.7669e-03 
2025-04-25 01:31:28,654 INFO: Validation FFHQ_val
	 # psnr: 26.4459	Best: 26.4469 @ 136000 iter
	 # niqe: 0.7603	Best: 0.7603 @ 136500 iter

2025-04-25 01:32:08,833 INFO: [train..][epoch:546, iter: 136,600, lr:(4.173e-05,)] [eta: 2:06:24, time (data): 0.400 (0.024)] l_pix: 3.1637e-03 
2025-04-25 01:32:48,032 INFO: [train..][epoch:546, iter: 136,700, lr:(4.121e-05,)] [eta: 2:05:26, time (data): 0.390 (0.015)] l_pix: 3.6704e-03 
2025-04-25 01:33:28,385 INFO: [train..][epoch:547, iter: 136,800, lr:(4.070e-05,)] [eta: 2:04:28, time (data): 0.401 (0.024)] l_pix: 4.3599e-03 
2025-04-25 01:34:07,727 INFO: [train..][epoch:547, iter: 136,900, lr:(4.018e-05,)] [eta: 2:03:30, time (data): 0.392 (0.015)] l_pix: 2.8883e-03 
2025-04-25 01:34:46,741 INFO: [train..][epoch:547, iter: 137,000, lr:(3.967e-05,)] [eta: 2:02:31, time (data): 0.390 (0.015)] l_pix: 3.5976e-03 
2025-04-25 01:36:10,079 INFO: Validation FFHQ_val
	 # psnr: 26.4489	Best: 26.4489 @ 137000 iter
	 # niqe: 0.7603	Best: 0.7603 @ 137000 iter

2025-04-25 01:36:50,326 INFO: [train..][epoch:548, iter: 137,100, lr:(3.916e-05,)] [eta: 2:01:41, time (data): 0.391 (0.014)] l_pix: 4.0200e-03 
2025-04-25 01:37:29,572 INFO: [train..][epoch:548, iter: 137,200, lr:(3.865e-05,)] [eta: 2:00:43, time (data): 0.392 (0.015)] l_pix: 4.1376e-03 
2025-04-25 01:38:09,853 INFO: [train..][epoch:549, iter: 137,300, lr:(3.814e-05,)] [eta: 1:59:45, time (data): 0.392 (0.014)] l_pix: 4.0558e-03 
2025-04-25 01:38:48,960 INFO: [train..][epoch:549, iter: 137,400, lr:(3.763e-05,)] [eta: 1:58:47, time (data): 0.391 (0.015)] l_pix: 3.8135e-03 
2025-04-25 01:39:28,135 INFO: [train..][epoch:549, iter: 137,500, lr:(3.713e-05,)] [eta: 1:57:48, time (data): 0.390 (0.014)] l_pix: 3.3526e-03 
2025-04-25 01:40:52,150 INFO: Validation FFHQ_val
	 # psnr: 26.4439	Best: 26.4489 @ 137000 iter
	 # niqe: 0.7603	Best: 0.7603 @ 137000 iter

2025-04-25 01:41:32,437 INFO: [train..][epoch:550, iter: 137,600, lr:(3.662e-05,)] [eta: 1:56:58, time (data): 0.401 (0.025)] l_pix: 3.2543e-03 
2025-04-25 01:42:11,811 INFO: [train..][epoch:550, iter: 137,700, lr:(3.612e-05,)] [eta: 1:56:00, time (data): 0.402 (0.014)] l_pix: 4.1508e-03 
2025-04-25 01:42:52,049 INFO: [train..][epoch:551, iter: 137,800, lr:(3.562e-05,)] [eta: 1:55:02, time (data): 0.402 (0.024)] l_pix: 3.6494e-03 
2025-04-25 01:43:31,145 INFO: [train..][epoch:551, iter: 137,900, lr:(3.512e-05,)] [eta: 1:54:04, time (data): 0.390 (0.015)] l_pix: 3.5051e-03 
2025-04-25 01:44:10,493 INFO: [train..][epoch:551, iter: 138,000, lr:(3.462e-05,)] [eta: 1:53:06, time (data): 0.393 (0.015)] l_pix: 3.6873e-03 
2025-04-25 01:45:33,969 INFO: Validation FFHQ_val
	 # psnr: 26.4476	Best: 26.4489 @ 137000 iter
	 # niqe: 0.7603	Best: 0.7603 @ 138000 iter

2025-04-25 01:46:14,228 INFO: [train..][epoch:552, iter: 138,100, lr:(3.412e-05,)] [eta: 1:52:15, time (data): 0.389 (0.014)] l_pix: 3.1483e-03 
2025-04-25 01:46:53,613 INFO: [train..][epoch:552, iter: 138,200, lr:(3.363e-05,)] [eta: 1:51:17, time (data): 0.393 (0.015)] l_pix: 3.8843e-03 
2025-04-25 01:47:33,855 INFO: [train..][epoch:553, iter: 138,300, lr:(3.313e-05,)] [eta: 1:50:19, time (data): 0.392 (0.015)] l_pix: 3.1434e-03 
2025-04-25 01:48:13,080 INFO: [train..][epoch:553, iter: 138,400, lr:(3.264e-05,)] [eta: 1:49:21, time (data): 0.392 (0.015)] l_pix: 3.1194e-03 
2025-04-25 01:48:52,301 INFO: [train..][epoch:553, iter: 138,500, lr:(3.215e-05,)] [eta: 1:48:23, time (data): 0.392 (0.014)] l_pix: 2.7816e-03 
2025-04-25 01:50:15,906 INFO: Validation FFHQ_val
	 # psnr: 26.4493	Best: 26.4493 @ 138500 iter
	 # niqe: 0.7603	Best: 0.7603 @ 138500 iter

2025-04-25 01:50:55,982 INFO: [train..][epoch:554, iter: 138,600, lr:(3.167e-05,)] [eta: 1:47:32, time (data): 0.400 (0.024)] l_pix: 3.2410e-03 
2025-04-25 01:51:35,126 INFO: [train..][epoch:554, iter: 138,700, lr:(3.118e-05,)] [eta: 1:46:34, time (data): 0.390 (0.016)] l_pix: 4.0434e-03 
2025-04-25 01:52:15,433 INFO: [train..][epoch:555, iter: 138,800, lr:(3.070e-05,)] [eta: 1:45:36, time (data): 0.402 (0.025)] l_pix: 4.4993e-03 
2025-04-25 01:52:54,630 INFO: [train..][epoch:555, iter: 138,900, lr:(3.022e-05,)] [eta: 1:44:38, time (data): 0.395 (0.015)] l_pix: 3.0314e-03 
2025-04-25 01:53:33,691 INFO: [train..][epoch:555, iter: 139,000, lr:(2.974e-05,)] [eta: 1:43:40, time (data): 0.391 (0.015)] l_pix: 3.7420e-03 
2025-04-25 01:54:57,099 INFO: Validation FFHQ_val
	 # psnr: 26.4491	Best: 26.4493 @ 138500 iter
	 # niqe: 0.7604	Best: 0.7604 @ 139000 iter

2025-04-25 01:55:37,351 INFO: [train..][epoch:556, iter: 139,100, lr:(2.926e-05,)] [eta: 1:42:49, time (data): 0.399 (0.014)] l_pix: 3.5840e-03 
2025-04-25 01:56:16,338 INFO: [train..][epoch:556, iter: 139,200, lr:(2.879e-05,)] [eta: 1:41:51, time (data): 0.391 (0.014)] l_pix: 4.2571e-03 
2025-04-25 01:56:56,640 INFO: [train..][epoch:557, iter: 139,300, lr:(2.831e-05,)] [eta: 1:40:53, time (data): 0.393 (0.014)] l_pix: 3.0350e-03 
2025-04-25 01:57:35,671 INFO: [train..][epoch:557, iter: 139,400, lr:(2.785e-05,)] [eta: 1:39:55, time (data): 0.390 (0.015)] l_pix: 3.6177e-03 
2025-04-25 01:58:14,928 INFO: [train..][epoch:557, iter: 139,500, lr:(2.738e-05,)] [eta: 1:38:57, time (data): 0.394 (0.014)] l_pix: 3.0656e-03 
2025-04-25 01:59:38,080 INFO: Validation FFHQ_val
	 # psnr: 26.4546	Best: 26.4546 @ 139500 iter
	 # niqe: 0.7604	Best: 0.7604 @ 139500 iter

2025-04-25 02:00:18,392 INFO: [train..][epoch:558, iter: 139,600, lr:(2.691e-05,)] [eta: 1:38:05, time (data): 0.403 (0.025)] l_pix: 3.6134e-03 
2025-04-25 02:00:57,354 INFO: [train..][epoch:558, iter: 139,700, lr:(2.645e-05,)] [eta: 1:37:07, time (data): 0.386 (0.014)] l_pix: 3.5996e-03 
2025-04-25 02:01:37,661 INFO: [train..][epoch:559, iter: 139,800, lr:(2.599e-05,)] [eta: 1:36:10, time (data): 0.402 (0.026)] l_pix: 3.8774e-03 
2025-04-25 02:02:16,886 INFO: [train..][epoch:559, iter: 139,900, lr:(2.553e-05,)] [eta: 1:35:12, time (data): 0.389 (0.015)] l_pix: 2.7987e-03 
2025-04-25 02:02:56,021 INFO: [train..][epoch:559, iter: 140,000, lr:(2.508e-05,)] [eta: 1:34:14, time (data): 0.391 (0.015)] l_pix: 3.3147e-03 
2025-04-25 02:02:56,022 INFO: Saving models and training states.
2025-04-25 02:04:22,176 INFO: Validation FFHQ_val
	 # psnr: 26.4513	Best: 26.4546 @ 139500 iter
	 # niqe: 0.7604	Best: 0.7604 @ 139500 iter

2025-04-25 02:05:02,607 INFO: [train..][epoch:560, iter: 140,100, lr:(2.463e-05,)] [eta: 1:33:22, time (data): 0.388 (0.015)] l_pix: 3.2309e-03 
2025-04-25 02:05:41,981 INFO: [train..][epoch:560, iter: 140,200, lr:(2.418e-05,)] [eta: 1:32:25, time (data): 0.394 (0.015)] l_pix: 3.4399e-03 
2025-04-25 02:06:22,303 INFO: [train..][epoch:561, iter: 140,300, lr:(2.373e-05,)] [eta: 1:31:27, time (data): 0.393 (0.015)] l_pix: 3.6019e-03 
2025-04-25 02:07:01,560 INFO: [train..][epoch:561, iter: 140,400, lr:(2.329e-05,)] [eta: 1:30:29, time (data): 0.393 (0.016)] l_pix: 3.7895e-03 
2025-04-25 02:07:40,752 INFO: [train..][epoch:561, iter: 140,500, lr:(2.285e-05,)] [eta: 1:29:31, time (data): 0.397 (0.014)] l_pix: 3.0089e-03 
2025-04-25 02:09:05,873 INFO: Validation FFHQ_val
	 # psnr: 26.4526	Best: 26.4546 @ 139500 iter
	 # niqe: 0.7604	Best: 0.7604 @ 139500 iter

2025-04-25 02:09:46,175 INFO: [train..][epoch:562, iter: 140,600, lr:(2.241e-05,)] [eta: 1:28:40, time (data): 0.403 (0.026)] l_pix: 3.2761e-03 
2025-04-25 02:10:25,448 INFO: [train..][epoch:562, iter: 140,700, lr:(2.198e-05,)] [eta: 1:27:42, time (data): 0.398 (0.021)] l_pix: 3.1910e-03 
2025-04-25 02:11:05,710 INFO: [train..][epoch:563, iter: 140,800, lr:(2.155e-05,)] [eta: 1:26:44, time (data): 0.403 (0.026)] l_pix: 3.3835e-03 
2025-04-25 02:11:44,876 INFO: [train..][epoch:563, iter: 140,900, lr:(2.112e-05,)] [eta: 1:25:46, time (data): 0.397 (0.020)] l_pix: 3.7331e-03 
2025-04-25 02:12:23,825 INFO: [train..][epoch:563, iter: 141,000, lr:(2.069e-05,)] [eta: 1:24:49, time (data): 0.389 (0.015)] l_pix: 2.9748e-03 
2025-04-25 02:13:48,456 INFO: Validation FFHQ_val
	 # psnr: 26.4513	Best: 26.4546 @ 139500 iter
	 # niqe: 0.7604	Best: 0.7604 @ 141000 iter

2025-04-25 02:14:28,782 INFO: [train..][epoch:564, iter: 141,100, lr:(2.027e-05,)] [eta: 1:23:56, time (data): 0.396 (0.020)] l_pix: 4.0502e-03 
2025-04-25 02:15:07,759 INFO: [train..][epoch:564, iter: 141,200, lr:(1.985e-05,)] [eta: 1:22:59, time (data): 0.389 (0.015)] l_pix: 3.6671e-03 
2025-04-25 02:15:48,076 INFO: [train..][epoch:565, iter: 141,300, lr:(1.944e-05,)] [eta: 1:22:01, time (data): 0.396 (0.020)] l_pix: 3.5161e-03 
2025-04-25 02:16:27,147 INFO: [train..][epoch:565, iter: 141,400, lr:(1.903e-05,)] [eta: 1:21:04, time (data): 0.391 (0.015)] l_pix: 3.9735e-03 
2025-04-25 02:17:06,173 INFO: [train..][epoch:565, iter: 141,500, lr:(1.862e-05,)] [eta: 1:20:06, time (data): 0.390 (0.015)] l_pix: 3.1966e-03 
2025-04-25 02:18:28,520 INFO: Validation FFHQ_val
	 # psnr: 26.4548	Best: 26.4548 @ 141500 iter
	 # niqe: 0.7604	Best: 0.7604 @ 141500 iter

2025-04-25 02:19:08,896 INFO: [train..][epoch:566, iter: 141,600, lr:(1.821e-05,)] [eta: 1:19:13, time (data): 0.392 (0.015)] l_pix: 2.9573e-03 
2025-04-25 02:19:48,080 INFO: [train..][epoch:566, iter: 141,700, lr:(1.781e-05,)] [eta: 1:18:16, time (data): 0.392 (0.015)] l_pix: 3.4538e-03 
2025-04-25 02:20:28,286 INFO: [train..][epoch:567, iter: 141,800, lr:(1.742e-05,)] [eta: 1:17:18, time (data): 0.402 (0.026)] l_pix: 3.7194e-03 
2025-04-25 02:21:07,447 INFO: [train..][epoch:567, iter: 141,900, lr:(1.702e-05,)] [eta: 1:16:21, time (data): 0.397 (0.021)] l_pix: 3.5398e-03 
2025-04-25 02:21:46,623 INFO: [train..][epoch:567, iter: 142,000, lr:(1.663e-05,)] [eta: 1:15:23, time (data): 0.392 (0.015)] l_pix: 3.9115e-03 
2025-04-25 02:23:08,312 INFO: Validation FFHQ_val
	 # psnr: 26.4548	Best: 26.4548 @ 141500 iter
	 # niqe: 0.7604	Best: 0.7604 @ 142000 iter

2025-04-25 02:23:48,569 INFO: [train..][epoch:568, iter: 142,100, lr:(1.624e-05,)] [eta: 1:14:30, time (data): 0.397 (0.021)] l_pix: 2.8232e-03 
2025-04-25 02:24:27,943 INFO: [train..][epoch:568, iter: 142,200, lr:(1.586e-05,)] [eta: 1:13:33, time (data): 0.394 (0.015)] l_pix: 4.1533e-03 
2025-04-25 02:25:08,088 INFO: [train..][epoch:569, iter: 142,300, lr:(1.548e-05,)] [eta: 1:12:35, time (data): 0.398 (0.021)] l_pix: 3.1910e-03 
2025-04-25 02:25:47,265 INFO: [train..][epoch:569, iter: 142,400, lr:(1.511e-05,)] [eta: 1:11:38, time (data): 0.392 (0.014)] l_pix: 4.4648e-03 
2025-04-25 02:26:26,437 INFO: [train..][epoch:569, iter: 142,500, lr:(1.473e-05,)] [eta: 1:10:40, time (data): 0.392 (0.015)] l_pix: 3.2970e-03 
2025-04-25 02:27:47,120 INFO: Validation FFHQ_val
	 # psnr: 26.4567	Best: 26.4567 @ 142500 iter
	 # niqe: 0.7604	Best: 0.7604 @ 142000 iter

2025-04-25 02:28:27,353 INFO: [train..][epoch:570, iter: 142,600, lr:(1.437e-05,)] [eta: 1:09:47, time (data): 0.390 (0.015)] l_pix: 3.8415e-03 
2025-04-25 02:29:06,458 INFO: [train..][epoch:570, iter: 142,700, lr:(1.400e-05,)] [eta: 1:08:49, time (data): 0.391 (0.015)] l_pix: 3.3548e-03 
2025-04-25 02:29:46,727 INFO: [train..][epoch:571, iter: 142,800, lr:(1.364e-05,)] [eta: 1:07:52, time (data): 0.404 (0.028)] l_pix: 4.5328e-03 
2025-04-25 02:30:25,884 INFO: [train..][epoch:571, iter: 142,900, lr:(1.329e-05,)] [eta: 1:06:55, time (data): 0.397 (0.021)] l_pix: 4.1899e-03 
2025-04-25 02:31:04,905 INFO: [train..][epoch:571, iter: 143,000, lr:(1.293e-05,)] [eta: 1:05:57, time (data): 0.390 (0.015)] l_pix: 4.6082e-03 
2025-04-25 02:32:25,419 INFO: Validation FFHQ_val
	 # psnr: 26.4577	Best: 26.4577 @ 143000 iter
	 # niqe: 0.7604	Best: 0.7604 @ 143000 iter

2025-04-25 02:33:05,894 INFO: [train..][epoch:572, iter: 143,100, lr:(1.259e-05,)] [eta: 1:05:04, time (data): 0.398 (0.021)] l_pix: 4.1573e-03 
2025-04-25 02:33:44,794 INFO: [train..][epoch:572, iter: 143,200, lr:(1.224e-05,)] [eta: 1:04:06, time (data): 0.390 (0.015)] l_pix: 3.3837e-03 
2025-04-25 02:34:24,957 INFO: [train..][epoch:573, iter: 143,300, lr:(1.190e-05,)] [eta: 1:03:09, time (data): 0.396 (0.020)] l_pix: 3.3140e-03 
2025-04-25 02:35:04,058 INFO: [train..][epoch:573, iter: 143,400, lr:(1.157e-05,)] [eta: 1:02:12, time (data): 0.391 (0.015)] l_pix: 4.3016e-03 
2025-04-25 02:35:43,025 INFO: [train..][epoch:573, iter: 143,500, lr:(1.123e-05,)] [eta: 1:01:14, time (data): 0.390 (0.015)] l_pix: 3.9005e-03 
2025-04-25 02:37:03,934 INFO: Validation FFHQ_val
	 # psnr: 26.4602	Best: 26.4602 @ 143500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 143500 iter

2025-04-25 02:37:44,210 INFO: [train..][epoch:574, iter: 143,600, lr:(1.091e-05,)] [eta: 1:00:21, time (data): 0.391 (0.015)] l_pix: 3.3693e-03 
2025-04-25 02:38:23,198 INFO: [train..][epoch:574, iter: 143,700, lr:(1.058e-05,)] [eta: 0:59:23, time (data): 0.390 (0.015)] l_pix: 3.5447e-03 
2025-04-25 02:39:03,441 INFO: [train..][epoch:575, iter: 143,800, lr:(1.027e-05,)] [eta: 0:58:26, time (data): 0.405 (0.028)] l_pix: 4.3544e-03 
2025-04-25 02:39:42,531 INFO: [train..][epoch:575, iter: 143,900, lr:(9.952e-06,)] [eta: 0:57:29, time (data): 0.397 (0.021)] l_pix: 3.3846e-03 
2025-04-25 02:40:21,538 INFO: [train..][epoch:575, iter: 144,000, lr:(9.643e-06,)] [eta: 0:56:31, time (data): 0.390 (0.015)] l_pix: 4.5694e-03 
2025-04-25 02:41:43,020 INFO: Validation FFHQ_val
	 # psnr: 26.4584	Best: 26.4602 @ 143500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 143500 iter

2025-04-25 02:42:23,100 INFO: [train..][epoch:576, iter: 144,100, lr:(9.337e-06,)] [eta: 0:55:37, time (data): 0.396 (0.021)] l_pix: 4.0854e-03 
2025-04-25 02:43:02,207 INFO: [train..][epoch:576, iter: 144,200, lr:(9.037e-06,)] [eta: 0:54:40, time (data): 0.391 (0.015)] l_pix: 3.2315e-03 
2025-04-25 02:43:42,390 INFO: [train..][epoch:577, iter: 144,300, lr:(8.740e-06,)] [eta: 0:53:43, time (data): 0.397 (0.021)] l_pix: 3.2705e-03 
2025-04-25 02:44:21,606 INFO: [train..][epoch:577, iter: 144,400, lr:(8.448e-06,)] [eta: 0:52:46, time (data): 0.392 (0.015)] l_pix: 4.0195e-03 
2025-04-25 02:45:00,871 INFO: [train..][epoch:577, iter: 144,500, lr:(8.161e-06,)] [eta: 0:51:49, time (data): 0.392 (0.015)] l_pix: 3.4446e-03 
2025-04-25 02:46:24,057 INFO: Validation FFHQ_val
	 # psnr: 26.4635	Best: 26.4635 @ 144500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 144500 iter

2025-04-25 02:47:04,402 INFO: [train..][epoch:578, iter: 144,600, lr:(7.879e-06,)] [eta: 0:50:54, time (data): 0.392 (0.015)] l_pix: 2.7065e-03 
2025-04-25 02:47:43,367 INFO: [train..][epoch:578, iter: 144,700, lr:(7.601e-06,)] [eta: 0:49:57, time (data): 0.391 (0.015)] l_pix: 3.3500e-03 
2025-04-25 02:48:23,808 INFO: [train..][epoch:579, iter: 144,800, lr:(7.327e-06,)] [eta: 0:49:00, time (data): 0.407 (0.029)] l_pix: 3.1849e-03 
2025-04-25 02:49:02,861 INFO: [train..][epoch:579, iter: 144,900, lr:(7.059e-06,)] [eta: 0:48:03, time (data): 0.398 (0.021)] l_pix: 3.5138e-03 
2025-04-25 02:49:41,878 INFO: [train..][epoch:579, iter: 145,000, lr:(6.795e-06,)] [eta: 0:47:06, time (data): 0.390 (0.015)] l_pix: 3.6888e-03 
2025-04-25 02:49:41,879 INFO: Saving models and training states.
2025-04-25 02:51:05,881 INFO: Validation FFHQ_val
	 # psnr: 26.4659	Best: 26.4659 @ 145000 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145000 iter

2025-04-25 02:51:46,206 INFO: [train..][epoch:580, iter: 145,100, lr:(6.535e-06,)] [eta: 0:46:12, time (data): 0.398 (0.021)] l_pix: 4.2456e-03 
2025-04-25 02:52:25,492 INFO: [train..][epoch:580, iter: 145,200, lr:(6.281e-06,)] [eta: 0:45:14, time (data): 0.393 (0.015)] l_pix: 3.4865e-03 
2025-04-25 02:53:05,869 INFO: [train..][epoch:581, iter: 145,300, lr:(6.031e-06,)] [eta: 0:44:17, time (data): 0.399 (0.021)] l_pix: 4.1651e-03 
2025-04-25 02:53:44,837 INFO: [train..][epoch:581, iter: 145,400, lr:(5.787e-06,)] [eta: 0:43:20, time (data): 0.389 (0.015)] l_pix: 4.5088e-03 
2025-04-25 02:54:24,041 INFO: [train..][epoch:581, iter: 145,500, lr:(5.547e-06,)] [eta: 0:42:23, time (data): 0.391 (0.015)] l_pix: 2.8268e-03 
2025-04-25 02:55:47,745 INFO: Validation FFHQ_val
	 # psnr: 26.4690	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 02:56:27,905 INFO: [train..][epoch:582, iter: 145,600, lr:(5.312e-06,)] [eta: 0:41:29, time (data): 0.390 (0.014)] l_pix: 3.4332e-03 
2025-04-25 02:57:07,135 INFO: [train..][epoch:582, iter: 145,700, lr:(5.081e-06,)] [eta: 0:40:31, time (data): 0.391 (0.015)] l_pix: 3.0846e-03 
2025-04-25 02:57:47,366 INFO: [train..][epoch:583, iter: 145,800, lr:(4.856e-06,)] [eta: 0:39:34, time (data): 0.406 (0.030)] l_pix: 3.6262e-03 
2025-04-25 02:58:26,296 INFO: [train..][epoch:583, iter: 145,900, lr:(4.636e-06,)] [eta: 0:38:37, time (data): 0.397 (0.021)] l_pix: 3.4258e-03 
2025-04-25 02:59:05,463 INFO: [train..][epoch:583, iter: 146,000, lr:(4.421e-06,)] [eta: 0:37:40, time (data): 0.391 (0.015)] l_pix: 4.2162e-03 
2025-04-25 03:00:28,590 INFO: Validation FFHQ_val
	 # psnr: 26.4677	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 03:01:08,843 INFO: [train..][epoch:584, iter: 146,100, lr:(4.210e-06,)] [eta: 0:36:46, time (data): 0.398 (0.021)] l_pix: 3.3636e-03 
2025-04-25 03:01:48,061 INFO: [train..][epoch:584, iter: 146,200, lr:(4.005e-06,)] [eta: 0:35:49, time (data): 0.391 (0.015)] l_pix: 3.6375e-03 
2025-04-25 03:02:28,427 INFO: [train..][epoch:585, iter: 146,300, lr:(3.805e-06,)] [eta: 0:34:52, time (data): 0.398 (0.021)] l_pix: 3.1770e-03 
2025-04-25 03:03:07,455 INFO: [train..][epoch:585, iter: 146,400, lr:(3.610e-06,)] [eta: 0:33:55, time (data): 0.391 (0.015)] l_pix: 4.0749e-03 
2025-04-25 03:03:46,542 INFO: [train..][epoch:585, iter: 146,500, lr:(3.420e-06,)] [eta: 0:32:58, time (data): 0.391 (0.015)] l_pix: 4.2213e-03 
2025-04-25 03:05:11,058 INFO: Validation FFHQ_val
	 # psnr: 26.4657	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 03:05:51,508 INFO: [train..][epoch:586, iter: 146,600, lr:(3.235e-06,)] [eta: 0:32:03, time (data): 0.391 (0.015)] l_pix: 3.0838e-03 
2025-04-25 03:06:30,561 INFO: [train..][epoch:586, iter: 146,700, lr:(3.055e-06,)] [eta: 0:31:06, time (data): 0.391 (0.015)] l_pix: 3.7755e-03 
2025-04-25 03:07:10,845 INFO: [train..][epoch:587, iter: 146,800, lr:(2.880e-06,)] [eta: 0:30:09, time (data): 0.408 (0.031)] l_pix: 3.7376e-03 
2025-04-25 03:07:49,938 INFO: [train..][epoch:587, iter: 146,900, lr:(2.711e-06,)] [eta: 0:29:12, time (data): 0.398 (0.021)] l_pix: 4.1948e-03 
2025-04-25 03:08:29,111 INFO: [train..][epoch:587, iter: 147,000, lr:(2.546e-06,)] [eta: 0:28:15, time (data): 0.392 (0.015)] l_pix: 3.7886e-03 
2025-04-25 03:09:55,896 INFO: Validation FFHQ_val
	 # psnr: 26.4657	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 03:10:36,270 INFO: [train..][epoch:588, iter: 147,100, lr:(2.387e-06,)] [eta: 0:27:20, time (data): 0.399 (0.022)] l_pix: 4.2535e-03 
2025-04-25 03:11:15,319 INFO: [train..][epoch:588, iter: 147,200, lr:(2.233e-06,)] [eta: 0:26:23, time (data): 0.390 (0.015)] l_pix: 3.3850e-03 
2025-04-25 03:11:55,694 INFO: [train..][epoch:589, iter: 147,300, lr:(2.085e-06,)] [eta: 0:25:26, time (data): 0.398 (0.022)] l_pix: 3.2028e-03 
2025-04-25 03:12:34,943 INFO: [train..][epoch:589, iter: 147,400, lr:(1.941e-06,)] [eta: 0:24:29, time (data): 0.393 (0.015)] l_pix: 3.3253e-03 
2025-04-25 03:13:14,244 INFO: [train..][epoch:589, iter: 147,500, lr:(1.803e-06,)] [eta: 0:23:32, time (data): 0.393 (0.015)] l_pix: 2.9199e-03 
2025-04-25 03:14:38,685 INFO: Validation FFHQ_val
	 # psnr: 26.4632	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 03:15:19,012 INFO: [train..][epoch:590, iter: 147,600, lr:(1.671e-06,)] [eta: 0:22:37, time (data): 0.391 (0.015)] l_pix: 3.6045e-03 
2025-04-25 03:15:58,181 INFO: [train..][epoch:590, iter: 147,700, lr:(1.543e-06,)] [eta: 0:21:40, time (data): 0.391 (0.015)] l_pix: 3.7841e-03 
2025-04-25 03:16:38,599 INFO: [train..][epoch:591, iter: 147,800, lr:(1.421e-06,)] [eta: 0:20:43, time (data): 0.411 (0.033)] l_pix: 3.2895e-03 
2025-04-25 03:17:17,712 INFO: [train..][epoch:591, iter: 147,900, lr:(1.304e-06,)] [eta: 0:19:46, time (data): 0.399 (0.022)] l_pix: 2.7358e-03 
2025-04-25 03:17:56,841 INFO: [train..][epoch:591, iter: 148,000, lr:(1.193e-06,)] [eta: 0:18:50, time (data): 0.391 (0.015)] l_pix: 3.7747e-03 
2025-04-25 03:19:20,906 INFO: Validation FFHQ_val
	 # psnr: 26.4576	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 03:20:01,169 INFO: [train..][epoch:592, iter: 148,100, lr:(1.086e-06,)] [eta: 0:17:54, time (data): 0.398 (0.022)] l_pix: 3.6004e-03 
2025-04-25 03:20:40,317 INFO: [train..][epoch:592, iter: 148,200, lr:(9.857e-07,)] [eta: 0:16:57, time (data): 0.391 (0.015)] l_pix: 4.1178e-03 
2025-04-25 03:21:20,820 INFO: [train..][epoch:593, iter: 148,300, lr:(8.904e-07,)] [eta: 0:16:00, time (data): 0.399 (0.022)] l_pix: 4.2915e-03 
2025-04-25 03:22:00,130 INFO: [train..][epoch:593, iter: 148,400, lr:(8.004e-07,)] [eta: 0:15:04, time (data): 0.392 (0.015)] l_pix: 3.8905e-03 
2025-04-25 03:22:39,566 INFO: [train..][epoch:593, iter: 148,500, lr:(7.158e-07,)] [eta: 0:14:07, time (data): 0.393 (0.015)] l_pix: 4.9451e-03 
2025-04-25 03:24:04,421 INFO: Validation FFHQ_val
	 # psnr: 26.4616	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 03:24:44,584 INFO: [train..][epoch:594, iter: 148,600, lr:(6.366e-07,)] [eta: 0:13:11, time (data): 0.390 (0.015)] l_pix: 3.0039e-03 
2025-04-25 03:25:23,882 INFO: [train..][epoch:594, iter: 148,700, lr:(5.629e-07,)] [eta: 0:12:14, time (data): 0.392 (0.015)] l_pix: 3.4034e-03 
2025-04-25 03:26:04,261 INFO: [train..][epoch:595, iter: 148,800, lr:(4.945e-07,)] [eta: 0:11:18, time (data): 0.412 (0.033)] l_pix: 2.9865e-03 
2025-04-25 03:26:43,327 INFO: [train..][epoch:595, iter: 148,900, lr:(4.316e-07,)] [eta: 0:10:21, time (data): 0.399 (0.022)] l_pix: 3.4508e-03 
2025-04-25 03:27:22,525 INFO: [train..][epoch:595, iter: 149,000, lr:(3.742e-07,)] [eta: 0:09:24, time (data): 0.392 (0.015)] l_pix: 4.4232e-03 
2025-04-25 03:28:46,034 INFO: Validation FFHQ_val
	 # psnr: 26.4650	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 03:29:26,380 INFO: [train..][epoch:596, iter: 149,100, lr:(3.222e-07,)] [eta: 0:08:28, time (data): 0.399 (0.022)] l_pix: 3.7753e-03 
2025-04-25 03:30:05,607 INFO: [train..][epoch:596, iter: 149,200, lr:(2.756e-07,)] [eta: 0:07:31, time (data): 0.392 (0.015)] l_pix: 3.0778e-03 
2025-04-25 03:30:45,864 INFO: [train..][epoch:597, iter: 149,300, lr:(2.345e-07,)] [eta: 0:06:35, time (data): 0.399 (0.022)] l_pix: 3.9488e-03 
2025-04-25 03:31:24,865 INFO: [train..][epoch:597, iter: 149,400, lr:(1.989e-07,)] [eta: 0:05:38, time (data): 0.388 (0.015)] l_pix: 3.8650e-03 
2025-04-25 03:32:04,015 INFO: [train..][epoch:597, iter: 149,500, lr:(1.687e-07,)] [eta: 0:04:42, time (data): 0.390 (0.015)] l_pix: 3.5569e-03 
2025-04-25 03:33:28,005 INFO: Validation FFHQ_val
	 # psnr: 26.4664	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 03:34:08,453 INFO: [train..][epoch:598, iter: 149,600, lr:(1.440e-07,)] [eta: 0:03:45, time (data): 0.393 (0.015)] l_pix: 3.3562e-03 
2025-04-25 03:34:47,632 INFO: [train..][epoch:598, iter: 149,700, lr:(1.248e-07,)] [eta: 0:02:49, time (data): 0.392 (0.015)] l_pix: 3.5489e-03 
2025-04-25 03:35:28,005 INFO: [train..][epoch:599, iter: 149,800, lr:(1.111e-07,)] [eta: 0:01:52, time (data): 0.412 (0.035)] l_pix: 3.6461e-03 
2025-04-25 03:36:07,069 INFO: [train..][epoch:599, iter: 149,900, lr:(1.028e-07,)] [eta: 0:00:55, time (data): 0.398 (0.022)] l_pix: 3.3639e-03 
2025-04-25 03:36:46,238 INFO: [train..][epoch:599, iter: 150,000, lr:(1.000e-07,)] [eta: 0:00:00, time (data): 0.391 (0.014)] l_pix: 3.2356e-03 
2025-04-25 03:36:46,239 INFO: Saving models and training states.
2025-04-25 03:38:09,907 INFO: Validation FFHQ_val
	 # psnr: 26.4661	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter

2025-04-25 03:38:11,129 INFO: End of training. Time consumed: 23:35:53
2025-04-25 03:38:11,131 INFO: Save the latest model.
2025-04-25 03:39:32,819 INFO: Validation FFHQ_val
	 # psnr: 26.4661	Best: 26.4690 @ 145500 iter
	 # niqe: 0.7605	Best: 0.7605 @ 145500 iter