ACGAN-train-2021_01_15_11_59_50.log

[INFO] 2021-01-15 11:59:50 > Run name : ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 11:59:50 > {'config_path': './src/configs/TINY_ILSVRC2012/ACGAN.json', 'checkpoint_folder': None, 'load_current': False, 'log_output_path': None, 'seed': -1, 'distributed_data_parallel': False, 'num_workers': 8, 'synchronized_bn': False, 'mixed_precision': False, 'disable_debugging_API': True, 'reduce_train_dataset': 1.0, 'standing_statistics': False, 'standing_step': -1, 'freeze_layers': -1, 'load_all_data_in_memory': True, 'train': True, 'eval': True, 'save_images': False, 'image_visualization': False, 'k_nearest_neighbor': False, 'interpolation': False, 'frequency_analysis': False, 'tsne_analysis': False, 'nrow': 10, 'ncol': 8, 'print_every': 100, 'save_every': 2000, 'eval_type': 'valid'}
[INFO] 2021-01-15 11:59:50 > {'data_processing': {'dataset_name': 'tiny_imagenet', 'data_path': './data/TINY_ILSVRC2012', 'img_size': 64, 'num_classes': 200, 'batch_size4prcsing': 256, 'chunk_size': 500, 'compression': False}, 'train': {'model': {'architecture': 'resnet', 'conditional_strategy': 'ACGAN', 'pos_collected_numerator': False, 'hypersphere_dim': 'N/A', 'nonlinear_embed': False, 'normalize_embed': False, 'g_spectral_norm': False, 'd_spectral_norm': False, 'activation_fn': 'ReLU', 'attention': False, 'attention_after_nth_gen_block': 'N/A', 'attention_after_nth_dis_block': 'N/A', 'z_dim': 128, 'shared_dim': 'N/A', 'g_conv_dim': 64, 'd_conv_dim': 64, 'G_depth': 'N/A', 'D_depth': 'N/A'}, 'optimization': {'optimizer': 'Adam', 'batch_size': 256, 'accumulation_steps': 1, 'd_lr': 0.0004, 'g_lr': 0.0001, 'momentum': 'N/A', 'nesterov': 'N/A', 'alpha': 'N/A', 'beta1': 0.0, 'beta2': 0.999, 'g_steps_per_iter': 1, 'd_steps_per_iter': 1, 'total_step': 100000}, 'loss_function': {'adv_loss': 'hinge', 'contrastive_lambda': 'N/A', 'margin': 'N/A', 'tempering_type': 'N/A', 'tempering_step': 'N/A', 'start_temperature': 'N/A', 'end_temperature': 'N/A', 'weight_clipping_for_dis': False, 'weight_clipping_bound': 'N/A', 'gradient_penalty_for_dis': False, 'gradient_penalty_lambda': 'N/A', 'deep_regret_analysis_for_dis': False, 'regret_penalty_lambda': 'N/A', 'cr': False, 'cr_lambda': 'N/A', 'bcr': False, 'real_lambda': 'N/A', 'fake_lambda': 'N/A', 'zcr': False, 'gen_lambda': 'N/A', 'dis_lambda': 'N/A', 'sigma_noise': 'N/A'}, 'initialization': {'g_init': 'ortho', 'd_init': 'ortho'}, 'training_and_sampling_setting': {'random_flip_preprocessing': True, 'diff_aug': False, 'ada': False, 'ada_target': 'N/A', 'ada_length': 'N/A', 'prior': 'gaussian', 'truncated_factor': 1, 'latent_op': False, 'latent_op_rate': 'N/A', 'latent_op_step': 'N/A', 'latent_op_step4eval': 'N/A', 'latent_op_alpha': 'N/A', 'latent_op_beta': 'N/A', 'latent_norm_reg_weight': 'N/A', 'ema': False, 'ema_decay': 'N/A', 'ema_start': 'N/A'}}}
[INFO] 2021-01-15 11:59:50 > Load train datasets...
[INFO] 2021-01-15 11:59:53 > Train dataset size : 100000
[INFO] 2021-01-15 11:59:53 > Load valid datasets...
[INFO] 2021-01-15 11:59:53 > Eval dataset size : 10000
[INFO] 2021-01-15 11:59:53 > Build model...
[INFO] 2021-01-15 11:59:53 > Modules are located on models.resnet.
[INFO] 2021-01-15 12:00:05 > Number of parameters: 13366915
[INFO] 2021-01-15 12:00:05 > Generator(
  (linear0): Linear(in_features=128, out_features=16384, bias=True)
  (blocks): ModuleList(
    (0): ModuleList(
      (0): GenBlock(
        (bn1): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(1024, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 1024)
          (embed1): Embedding(200, 1024)
        )
        (bn2): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 512)
          (embed1): Embedding(200, 512)
        )
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(1024, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (1): ModuleList(
      (0): GenBlock(
        (bn1): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 512)
          (embed1): Embedding(200, 512)
        )
        (bn2): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 256)
          (embed1): Embedding(200, 256)
        )
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (2): ModuleList(
      (0): GenBlock(
        (bn1): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 256)
          (embed1): Embedding(200, 256)
        )
        (bn2): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 128)
          (embed1): Embedding(200, 128)
        )
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
    (3): ModuleList(
      (0): GenBlock(
        (bn1): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 128)
          (embed1): Embedding(200, 128)
        )
        (bn2): ConditionalBatchNorm2d(
          (bn): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=False, track_running_stats=True)
          (embed0): Embedding(200, 64)
          (embed1): Embedding(200, 64)
        )
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
      )
    )
  )
  (bn4): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
  (activation): ReLU(inplace=True)
  (conv2d5): Conv2d(64, 3, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  (tanh): Tanh()
)
[INFO] 2021-01-15 12:00:05 > Number of parameters: 19755535
[INFO] 2021-01-15 12:00:05 > Discriminator(
  (blocks): ModuleList(
    (0): ModuleList(
      (0): DiscOptBlock(
        (conv2d0): Conv2d(3, 64, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (bn0): BatchNorm2d(3, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (bn1): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (activation): ReLU(inplace=True)
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
    (1): ModuleList(
      (0): DiscBlock(
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(64, 128, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (bn0): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (bn1): BatchNorm2d(64, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (bn2): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
    (2): ModuleList(
      (0): DiscBlock(
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(128, 256, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (bn0): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (bn1): BatchNorm2d(128, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (bn2): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
    (3): ModuleList(
      (0): DiscBlock(
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(256, 512, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (bn0): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (bn1): BatchNorm2d(256, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (bn2): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
    (4): ModuleList(
      (0): DiscBlock(
        (activation): ReLU(inplace=True)
        (conv2d0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(1, 1))
        (conv2d1): Conv2d(512, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (conv2d2): Conv2d(1024, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
        (bn0): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (bn1): BatchNorm2d(512, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (bn2): BatchNorm2d(1024, eps=0.0001, momentum=0.1, affine=True, track_running_stats=True)
        (average_pooling): AvgPool2d(kernel_size=2, stride=2, padding=0)
      )
    )
  )
  (activation): ReLU(inplace=True)
  (linear1): Linear(in_features=1024, out_features=1, bias=True)
  (linear4): Linear(in_features=1024, out_features=200, bias=True)
)
[INFO] 2021-01-15 12:00:10 > Start training....
[INFO] 2021-01-15 12:01:04 > Step:     100 Progress: 0.1% Elapsed: 0:00:53 temperature: no ada_p: No Discriminator_loss: 10.3341 Generator_loss: 6.57165 
[INFO] 2021-01-15 12:01:53 > Step:     200 Progress: 0.2% Elapsed: 0:01:42 temperature: no ada_p: No Discriminator_loss: 10.3569 Generator_loss: 7.2514 
[INFO] 2021-01-15 12:02:42 > Step:     300 Progress: 0.3% Elapsed: 0:02:31 temperature: no ada_p: No Discriminator_loss: 10.461 Generator_loss: 6.2744 
[INFO] 2021-01-15 12:03:32 > Step:     400 Progress: 0.4% Elapsed: 0:03:20 temperature: no ada_p: No Discriminator_loss: 9.6806 Generator_loss: 6.70447 
[INFO] 2021-01-15 12:04:20 > Step:     500 Progress: 0.5% Elapsed: 0:04:09 temperature: no ada_p: No Discriminator_loss: 9.70035 Generator_loss: 7.04747 
[INFO] 2021-01-15 12:05:09 > Step:     600 Progress: 0.6% Elapsed: 0:04:58 temperature: no ada_p: No Discriminator_loss: 11.1406 Generator_loss: 5.8262 
[INFO] 2021-01-15 12:05:58 > Step:     700 Progress: 0.7% Elapsed: 0:05:47 temperature: no ada_p: No Discriminator_loss: 8.94878 Generator_loss: 6.46971 
[INFO] 2021-01-15 12:06:48 > Step:     800 Progress: 0.8% Elapsed: 0:06:37 temperature: no ada_p: No Discriminator_loss: 8.72228 Generator_loss: 6.50475 
[INFO] 2021-01-15 12:07:37 > Step:     900 Progress: 0.9% Elapsed: 0:07:26 temperature: no ada_p: No Discriminator_loss: 8.59584 Generator_loss: 6.44445 
[INFO] 2021-01-15 12:08:26 > Step:    1000 Progress: 1.0% Elapsed: 0:08:14 temperature: no ada_p: No Discriminator_loss: 10.589 Generator_loss: 6.07108 
[INFO] 2021-01-15 12:09:15 > Step:    1100 Progress: 1.1% Elapsed: 0:09:03 temperature: no ada_p: No Discriminator_loss: 5.47483 Generator_loss: 4.20362 
[INFO] 2021-01-15 12:10:04 > Step:    1200 Progress: 1.2% Elapsed: 0:09:53 temperature: no ada_p: No Discriminator_loss: 4.33353 Generator_loss: 3.91428 
[INFO] 2021-01-15 12:10:53 > Step:    1300 Progress: 1.3% Elapsed: 0:10:42 temperature: no ada_p: No Discriminator_loss: 5.29958 Generator_loss: 5.59218 
[INFO] 2021-01-15 12:11:42 > Step:    1400 Progress: 1.4% Elapsed: 0:11:31 temperature: no ada_p: No Discriminator_loss: 5.93559 Generator_loss: 5.10956 
[INFO] 2021-01-15 12:12:31 > Step:    1500 Progress: 1.5% Elapsed: 0:12:20 temperature: no ada_p: No Discriminator_loss: 8.77753 Generator_loss: 2.52396 
[INFO] 2021-01-15 12:13:20 > Step:    1600 Progress: 1.6% Elapsed: 0:13:09 temperature: no ada_p: No Discriminator_loss: 6.65356 Generator_loss: 1.58625 
[INFO] 2021-01-15 12:14:09 > Step:    1700 Progress: 1.7% Elapsed: 0:13:58 temperature: no ada_p: No Discriminator_loss: 7.15904 Generator_loss: 2.01331 
[INFO] 2021-01-15 12:14:58 > Step:    1800 Progress: 1.8% Elapsed: 0:14:47 temperature: no ada_p: No Discriminator_loss: 5.29691 Generator_loss: 4.69516 
[INFO] 2021-01-15 12:15:47 > Step:    1900 Progress: 1.9% Elapsed: 0:15:36 temperature: no ada_p: No Discriminator_loss: 3.9358 Generator_loss: 3.89751 
[INFO] 2021-01-15 12:16:37 > Step:    2000 Progress: 2.0% Elapsed: 0:16:26 temperature: no ada_p: No Discriminator_loss: 4.20296 Generator_loss: 2.50838 
[INFO] 2021-01-15 12:16:37 > Start Evaluation (2000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 12:16:37 > Calculating FID Score....
[INFO] 2021-01-15 12:17:00 > Calculating Inception Score....
[INFO] 2021-01-15 12:17:13 > Calculate F_beta Score....
[INFO] 2021-01-15 12:17:52 > Calculate Accuracies....
[INFO] 2021-01-15 12:17:58 > Calculate Accuracies....
[INFO] 2021-01-15 12:17:59 > F_8 score (Step: 2000, Using valid images): 0.04536956151003396
[INFO] 2021-01-15 12:17:59 > F_1/8 score (Step: 2000, Using valid images): 0.086031870621334
[INFO] 2021-01-15 12:17:59 > FID score (Step: 2000, Using valid moments): 177.63068020159233
[INFO] 2021-01-15 12:17:59 > Inception score (Step: 2000, 10000 generated images): 2.7507903575897217
[INFO] 2021-01-15 12:17:59 > Best FID score (Step: 2000, Using valid moments): 177.63068020159233
[INFO] 2021-01-15 12:18:01 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 12:18:50 > Step:    2100 Progress: 2.1% Elapsed: 0:18:39 temperature: no ada_p: No Discriminator_loss: 3.72792 Generator_loss: 3.82756 
[INFO] 2021-01-15 12:19:39 > Step:    2200 Progress: 2.2% Elapsed: 0:19:28 temperature: no ada_p: No Discriminator_loss: 5.3803 Generator_loss: 1.61339 
[INFO] 2021-01-15 12:20:28 > Step:    2300 Progress: 2.3% Elapsed: 0:20:17 temperature: no ada_p: No Discriminator_loss: 3.93237 Generator_loss: 4.75039 
[INFO] 2021-01-15 12:21:18 > Step:    2400 Progress: 2.4% Elapsed: 0:21:06 temperature: no ada_p: No Discriminator_loss: 9.20309 Generator_loss: 3.71619 
[INFO] 2021-01-15 12:22:07 > Step:    2500 Progress: 2.5% Elapsed: 0:21:55 temperature: no ada_p: No Discriminator_loss: 8.33695 Generator_loss: 5.35343 
[INFO] 2021-01-15 12:22:56 > Step:    2600 Progress: 2.6% Elapsed: 0:22:44 temperature: no ada_p: No Discriminator_loss: 4.39664 Generator_loss: 2.33957 
[INFO] 2021-01-15 12:23:44 > Step:    2700 Progress: 2.7% Elapsed: 0:23:33 temperature: no ada_p: No Discriminator_loss: 4.58922 Generator_loss: 2.6619 
[INFO] 2021-01-15 12:24:34 > Step:    2800 Progress: 2.8% Elapsed: 0:24:23 temperature: no ada_p: No Discriminator_loss: 3.63515 Generator_loss: 3.09328 
[INFO] 2021-01-15 12:25:23 > Step:    2900 Progress: 2.9% Elapsed: 0:25:12 temperature: no ada_p: No Discriminator_loss: 4.35036 Generator_loss: 3.16496 
[INFO] 2021-01-15 12:26:12 > Step:    3000 Progress: 3.0% Elapsed: 0:26:01 temperature: no ada_p: No Discriminator_loss: 3.53464 Generator_loss: 2.98667 
[INFO] 2021-01-15 12:27:01 > Step:    3100 Progress: 3.1% Elapsed: 0:26:50 temperature: no ada_p: No Discriminator_loss: 4.60632 Generator_loss: 7.59827 
[INFO] 2021-01-15 12:27:51 > Step:    3200 Progress: 3.2% Elapsed: 0:27:39 temperature: no ada_p: No Discriminator_loss: 4.01989 Generator_loss: 1.58898 
[INFO] 2021-01-15 12:28:40 > Step:    3300 Progress: 3.3% Elapsed: 0:28:28 temperature: no ada_p: No Discriminator_loss: 3.52142 Generator_loss: 3.31747 
[INFO] 2021-01-15 12:29:29 > Step:    3400 Progress: 3.4% Elapsed: 0:29:17 temperature: no ada_p: No Discriminator_loss: 4.71476 Generator_loss: 4.79467 
[INFO] 2021-01-15 12:30:18 > Step:    3500 Progress: 3.5% Elapsed: 0:30:06 temperature: no ada_p: No Discriminator_loss: 3.30842 Generator_loss: 3.90563 
[INFO] 2021-01-15 12:31:07 > Step:    3600 Progress: 3.6% Elapsed: 0:30:56 temperature: no ada_p: No Discriminator_loss: 3.2464 Generator_loss: 3.31489 
[INFO] 2021-01-15 12:31:56 > Step:    3700 Progress: 3.7% Elapsed: 0:31:45 temperature: no ada_p: No Discriminator_loss: 4.0276 Generator_loss: 4.85038 
[INFO] 2021-01-15 12:32:45 > Step:    3800 Progress: 3.8% Elapsed: 0:32:34 temperature: no ada_p: No Discriminator_loss: 4.34661 Generator_loss: 7.06516 
[INFO] 2021-01-15 12:33:34 > Step:    3900 Progress: 3.9% Elapsed: 0:33:23 temperature: no ada_p: No Discriminator_loss: 4.4312 Generator_loss: 1.66638 
[INFO] 2021-01-15 12:34:24 > Step:    4000 Progress: 4.0% Elapsed: 0:34:13 temperature: no ada_p: No Discriminator_loss: 4.40793 Generator_loss: 8.25581 
[INFO] 2021-01-15 12:34:24 > Start Evaluation (4000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 12:34:24 > Calculating FID Score....
[INFO] 2021-01-15 12:34:45 > Calculating Inception Score....
[INFO] 2021-01-15 12:34:58 > Calculate F_beta Score....
[INFO] 2021-01-15 12:35:37 > Calculate Accuracies....
[INFO] 2021-01-15 12:35:43 > Calculate Accuracies....
[INFO] 2021-01-15 12:35:45 > F_8 score (Step: 4000, Using valid images): 0.42475197715690693
[INFO] 2021-01-15 12:35:45 > F_1/8 score (Step: 4000, Using valid images): 0.60633331645577
[INFO] 2021-01-15 12:35:45 > FID score (Step: 4000, Using valid moments): 85.92386471043426
[INFO] 2021-01-15 12:35:45 > Inception score (Step: 4000, 10000 generated images): 5.709436416625977
[INFO] 2021-01-15 12:35:45 > Best FID score (Step: 4000, Using valid moments): 85.92386471043426
[INFO] 2021-01-15 12:35:47 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 12:36:35 > Step:    4100 Progress: 4.1% Elapsed: 0:36:24 temperature: no ada_p: No Discriminator_loss: 4.03051 Generator_loss: 1.59194 
[INFO] 2021-01-15 12:37:24 > Step:    4200 Progress: 4.2% Elapsed: 0:37:13 temperature: no ada_p: No Discriminator_loss: 2.97924 Generator_loss: 2.94532 
[INFO] 2021-01-15 12:38:14 > Step:    4300 Progress: 4.3% Elapsed: 0:38:03 temperature: no ada_p: No Discriminator_loss: 2.95348 Generator_loss: 3.49401 
[INFO] 2021-01-15 12:39:03 > Step:    4400 Progress: 4.4% Elapsed: 0:38:52 temperature: no ada_p: No Discriminator_loss: 2.99493 Generator_loss: 2.31139 
[INFO] 2021-01-15 12:39:52 > Step:    4500 Progress: 4.5% Elapsed: 0:39:41 temperature: no ada_p: No Discriminator_loss: 2.96191 Generator_loss: 2.18365 
[INFO] 2021-01-15 12:40:41 > Step:    4600 Progress: 4.6% Elapsed: 0:40:30 temperature: no ada_p: No Discriminator_loss: 2.9943 Generator_loss: 3.31734 
[INFO] 2021-01-15 12:41:31 > Step:    4700 Progress: 4.7% Elapsed: 0:41:19 temperature: no ada_p: No Discriminator_loss: 2.9488 Generator_loss: 3.55433 
[INFO] 2021-01-15 12:42:20 > Step:    4800 Progress: 4.8% Elapsed: 0:42:08 temperature: no ada_p: No Discriminator_loss: 3.60131 Generator_loss: 3.52781 
[INFO] 2021-01-15 12:43:09 > Step:    4900 Progress: 4.9% Elapsed: 0:42:57 temperature: no ada_p: No Discriminator_loss: 2.78988 Generator_loss: 2.70624 
[INFO] 2021-01-15 12:43:58 > Step:    5000 Progress: 5.0% Elapsed: 0:43:46 temperature: no ada_p: No Discriminator_loss: 4.34383 Generator_loss: 6.10993 
[INFO] 2021-01-15 12:44:47 > Step:    5100 Progress: 5.1% Elapsed: 0:44:36 temperature: no ada_p: No Discriminator_loss: 4.46601 Generator_loss: 8.41056 
[INFO] 2021-01-15 12:45:36 > Step:    5200 Progress: 5.2% Elapsed: 0:45:25 temperature: no ada_p: No Discriminator_loss: 4.52066 Generator_loss: 7.09051 
[INFO] 2021-01-15 12:46:25 > Step:    5300 Progress: 5.3% Elapsed: 0:46:14 temperature: no ada_p: No Discriminator_loss: 5.63707 Generator_loss: 1.46145 
[INFO] 2021-01-15 12:47:14 > Step:    5400 Progress: 5.4% Elapsed: 0:47:03 temperature: no ada_p: No Discriminator_loss: 4.15387 Generator_loss: 0.652523 
[INFO] 2021-01-15 12:48:04 > Step:    5500 Progress: 5.5% Elapsed: 0:47:53 temperature: no ada_p: No Discriminator_loss: 2.44291 Generator_loss: 4.67122 
[INFO] 2021-01-15 12:48:53 > Step:    5600 Progress: 5.6% Elapsed: 0:48:42 temperature: no ada_p: No Discriminator_loss: 2.62104 Generator_loss: 5.49085 
[INFO] 2021-01-15 12:49:42 > Step:    5700 Progress: 5.7% Elapsed: 0:49:31 temperature: no ada_p: No Discriminator_loss: 3.77986 Generator_loss: 6.96744 
[INFO] 2021-01-15 12:50:31 > Step:    5800 Progress: 5.8% Elapsed: 0:50:20 temperature: no ada_p: No Discriminator_loss: 2.913 Generator_loss: 5.43547 
[INFO] 2021-01-15 12:51:21 > Step:    5900 Progress: 5.9% Elapsed: 0:51:10 temperature: no ada_p: No Discriminator_loss: 2.62451 Generator_loss: 3.70009 
[INFO] 2021-01-15 12:52:10 > Step:    6000 Progress: 6.0% Elapsed: 0:51:59 temperature: no ada_p: No Discriminator_loss: 3.34584 Generator_loss: 6.1726 
[INFO] 2021-01-15 12:52:10 > Start Evaluation (6000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 12:52:10 > Calculating FID Score....
[INFO] 2021-01-15 12:52:31 > Calculating Inception Score....
[INFO] 2021-01-15 12:52:44 > Calculate F_beta Score....
[INFO] 2021-01-15 12:53:23 > Calculate Accuracies....
[INFO] 2021-01-15 12:53:29 > Calculate Accuracies....
[INFO] 2021-01-15 12:53:31 > F_8 score (Step: 6000, Using valid images): 0.5178695163005115
[INFO] 2021-01-15 12:53:31 > F_1/8 score (Step: 6000, Using valid images): 0.6675328076687633
[INFO] 2021-01-15 12:53:31 > FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 12:53:31 > Inception score (Step: 6000, 10000 generated images): 6.341994762420654
[INFO] 2021-01-15 12:53:31 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 12:53:33 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 12:54:22 > Step:    6100 Progress: 6.1% Elapsed: 0:54:10 temperature: no ada_p: No Discriminator_loss: 2.58896 Generator_loss: 2.89034 
[INFO] 2021-01-15 12:55:10 > Step:    6200 Progress: 6.2% Elapsed: 0:54:59 temperature: no ada_p: No Discriminator_loss: 2.80695 Generator_loss: 5.23156 
[INFO] 2021-01-15 12:56:00 > Step:    6300 Progress: 6.3% Elapsed: 0:55:49 temperature: no ada_p: No Discriminator_loss: 4.75627 Generator_loss: 8.82592 
[INFO] 2021-01-15 12:56:49 > Step:    6400 Progress: 6.4% Elapsed: 0:56:38 temperature: no ada_p: No Discriminator_loss: 2.42594 Generator_loss: 3.71953 
[INFO] 2021-01-15 12:57:38 > Step:    6500 Progress: 6.5% Elapsed: 0:57:27 temperature: no ada_p: No Discriminator_loss: 2.16001 Generator_loss: 3.29184 
[INFO] 2021-01-15 12:58:27 > Step:    6600 Progress: 6.6% Elapsed: 0:58:16 temperature: no ada_p: No Discriminator_loss: 2.61621 Generator_loss: 3.00658 
[INFO] 2021-01-15 12:59:17 > Step:    6700 Progress: 6.7% Elapsed: 0:59:06 temperature: no ada_p: No Discriminator_loss: 2.14689 Generator_loss: 4.13365 
[INFO] 2021-01-15 13:00:06 > Step:    6800 Progress: 6.8% Elapsed: 0:59:55 temperature: no ada_p: No Discriminator_loss: 4.3782 Generator_loss: 8.96826 
[INFO] 2021-01-15 13:00:55 > Step:    6900 Progress: 6.9% Elapsed: 1:00:44 temperature: no ada_p: No Discriminator_loss: 2.11294 Generator_loss: 4.43984 
[INFO] 2021-01-15 13:01:44 > Step:    7000 Progress: 7.0% Elapsed: 1:01:33 temperature: no ada_p: No Discriminator_loss: 2.94219 Generator_loss: 3.19876 
[INFO] 2021-01-15 13:02:34 > Step:    7100 Progress: 7.1% Elapsed: 1:02:22 temperature: no ada_p: No Discriminator_loss: 2.13706 Generator_loss: 4.89561 
[INFO] 2021-01-15 13:03:23 > Step:    7200 Progress: 7.2% Elapsed: 1:03:11 temperature: no ada_p: No Discriminator_loss: 2.4527 Generator_loss: 3.5974 
[INFO] 2021-01-15 13:04:12 > Step:    7300 Progress: 7.3% Elapsed: 1:04:00 temperature: no ada_p: No Discriminator_loss: 1.92666 Generator_loss: 4.55164 
[INFO] 2021-01-15 13:05:01 > Step:    7400 Progress: 7.4% Elapsed: 1:04:49 temperature: no ada_p: No Discriminator_loss: 2.17532 Generator_loss: 4.4421 
[INFO] 2021-01-15 13:05:50 > Step:    7500 Progress: 7.5% Elapsed: 1:05:39 temperature: no ada_p: No Discriminator_loss: 1.81304 Generator_loss: 3.61925 
[INFO] 2021-01-15 13:06:39 > Step:    7600 Progress: 7.6% Elapsed: 1:06:28 temperature: no ada_p: No Discriminator_loss: 5.41528 Generator_loss: 4.27397 
[INFO] 2021-01-15 13:07:28 > Step:    7700 Progress: 7.7% Elapsed: 1:07:17 temperature: no ada_p: No Discriminator_loss: 2.05553 Generator_loss: 3.13528 
[INFO] 2021-01-15 13:08:17 > Step:    7800 Progress: 7.8% Elapsed: 1:08:06 temperature: no ada_p: No Discriminator_loss: 2.16759 Generator_loss: 2.79201 
[INFO] 2021-01-15 13:09:07 > Step:    7900 Progress: 7.9% Elapsed: 1:08:56 temperature: no ada_p: No Discriminator_loss: 2.07819 Generator_loss: 3.50985 
[INFO] 2021-01-15 13:09:56 > Step:    8000 Progress: 8.0% Elapsed: 1:09:45 temperature: no ada_p: No Discriminator_loss: 2.12077 Generator_loss: 5.10655 
[INFO] 2021-01-15 13:09:56 > Start Evaluation (8000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 13:09:56 > Calculating FID Score....
[INFO] 2021-01-15 13:10:17 > Calculating Inception Score....
[INFO] 2021-01-15 13:10:30 > Calculate F_beta Score....
[INFO] 2021-01-15 13:11:09 > Calculate Accuracies....
[INFO] 2021-01-15 13:11:15 > Calculate Accuracies....
[INFO] 2021-01-15 13:11:17 > F_8 score (Step: 8000, Using valid images): 0.6116867747651016
[INFO] 2021-01-15 13:11:17 > F_1/8 score (Step: 8000, Using valid images): 0.5756432674878856
[INFO] 2021-01-15 13:11:17 > FID score (Step: 8000, Using valid moments): 89.55603787265363
[INFO] 2021-01-15 13:11:17 > Inception score (Step: 8000, 10000 generated images): 6.330636024475098
[INFO] 2021-01-15 13:11:17 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 13:11:18 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 13:12:07 > Step:    8100 Progress: 8.1% Elapsed: 1:11:55 temperature: no ada_p: No Discriminator_loss: 1.97615 Generator_loss: 3.66705 
[INFO] 2021-01-15 13:12:56 > Step:    8200 Progress: 8.2% Elapsed: 1:12:45 temperature: no ada_p: No Discriminator_loss: 1.7675 Generator_loss: 4.00155 
[INFO] 2021-01-15 13:13:45 > Step:    8300 Progress: 8.3% Elapsed: 1:13:34 temperature: no ada_p: No Discriminator_loss: 2.10823 Generator_loss: 3.84276 
[INFO] 2021-01-15 13:14:34 > Step:    8400 Progress: 8.4% Elapsed: 1:14:23 temperature: no ada_p: No Discriminator_loss: 2.04599 Generator_loss: 6.29906 
[INFO] 2021-01-15 13:15:23 > Step:    8500 Progress: 8.5% Elapsed: 1:15:12 temperature: no ada_p: No Discriminator_loss: 1.86978 Generator_loss: 3.13306 
[INFO] 2021-01-15 13:16:13 > Step:    8600 Progress: 8.6% Elapsed: 1:16:02 temperature: no ada_p: No Discriminator_loss: 3.48489 Generator_loss: 6.15982 
[INFO] 2021-01-15 13:17:02 > Step:    8700 Progress: 8.7% Elapsed: 1:16:51 temperature: no ada_p: No Discriminator_loss: 2.03428 Generator_loss: 3.0727 
[INFO] 2021-01-15 13:17:51 > Step:    8800 Progress: 8.8% Elapsed: 1:17:40 temperature: no ada_p: No Discriminator_loss: 1.71303 Generator_loss: 3.83437 
[INFO] 2021-01-15 13:18:40 > Step:    8900 Progress: 8.9% Elapsed: 1:18:29 temperature: no ada_p: No Discriminator_loss: 2.96608 Generator_loss: 0.641829 
[INFO] 2021-01-15 13:19:30 > Step:    9000 Progress: 9.0% Elapsed: 1:19:19 temperature: no ada_p: No Discriminator_loss: 1.91082 Generator_loss: 4.40723 
[INFO] 2021-01-15 13:20:19 > Step:    9100 Progress: 9.1% Elapsed: 1:20:08 temperature: no ada_p: No Discriminator_loss: 1.87934 Generator_loss: 3.99984 
[INFO] 2021-01-15 13:21:08 > Step:    9200 Progress: 9.2% Elapsed: 1:20:57 temperature: no ada_p: No Discriminator_loss: 2.14443 Generator_loss: 3.23051 
[INFO] 2021-01-15 13:21:57 > Step:    9300 Progress: 9.3% Elapsed: 1:21:46 temperature: no ada_p: No Discriminator_loss: 2.29886 Generator_loss: 4.75133 
[INFO] 2021-01-15 13:22:47 > Step:    9400 Progress: 9.4% Elapsed: 1:22:35 temperature: no ada_p: No Discriminator_loss: 1.6941 Generator_loss: 5.1125 
[INFO] 2021-01-15 13:23:36 > Step:    9500 Progress: 9.5% Elapsed: 1:23:24 temperature: no ada_p: No Discriminator_loss: 3.91296 Generator_loss: 9.59616 
[INFO] 2021-01-15 13:24:25 > Step:    9600 Progress: 9.6% Elapsed: 1:24:14 temperature: no ada_p: No Discriminator_loss: 2.06485 Generator_loss: 4.9817 
[INFO] 2021-01-15 13:25:14 > Step:    9700 Progress: 9.7% Elapsed: 1:25:03 temperature: no ada_p: No Discriminator_loss: 1.81255 Generator_loss: 4.05582 
[INFO] 2021-01-15 13:26:03 > Step:    9800 Progress: 9.8% Elapsed: 1:25:52 temperature: no ada_p: No Discriminator_loss: 1.42101 Generator_loss: 4.30119 
[INFO] 2021-01-15 13:26:52 > Step:    9900 Progress: 9.9% Elapsed: 1:26:41 temperature: no ada_p: No Discriminator_loss: 1.83417 Generator_loss: 4.99771 
[INFO] 2021-01-15 13:27:41 > Step:   10000 Progress: 10.0% Elapsed: 1:27:30 temperature: no ada_p: No Discriminator_loss: 2.24862 Generator_loss: 5.3066 
[INFO] 2021-01-15 13:27:41 > Start Evaluation (10000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 13:27:41 > Calculating FID Score....
[INFO] 2021-01-15 13:28:02 > Calculating Inception Score....
[INFO] 2021-01-15 13:28:15 > Calculate F_beta Score....
[INFO] 2021-01-15 13:28:53 > Calculate Accuracies....
[INFO] 2021-01-15 13:28:59 > Calculate Accuracies....
[INFO] 2021-01-15 13:29:00 > F_8 score (Step: 10000, Using valid images): 0.014045233419337024
[INFO] 2021-01-15 13:29:00 > F_1/8 score (Step: 10000, Using valid images): 0.07855007298985636
[INFO] 2021-01-15 13:29:00 > FID score (Step: 10000, Using valid moments): 188.33898068371695
[INFO] 2021-01-15 13:29:00 > Inception score (Step: 10000, 10000 generated images): 2.4687764644622803
[INFO] 2021-01-15 13:29:00 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 13:29:01 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 13:29:50 > Step:   10100 Progress: 10.1% Elapsed: 1:29:39 temperature: no ada_p: No Discriminator_loss: 1.82387 Generator_loss: 4.10998 
[INFO] 2021-01-15 13:30:40 > Step:   10200 Progress: 10.2% Elapsed: 1:30:29 temperature: no ada_p: No Discriminator_loss: 2.65077 Generator_loss: 3.53357 
[INFO] 2021-01-15 13:31:29 > Step:   10300 Progress: 10.3% Elapsed: 1:31:18 temperature: no ada_p: No Discriminator_loss: 1.8871 Generator_loss: 5.72944 
[INFO] 2021-01-15 13:32:18 > Step:   10400 Progress: 10.4% Elapsed: 1:32:07 temperature: no ada_p: No Discriminator_loss: 1.42457 Generator_loss: 3.22327 
[INFO] 2021-01-15 13:33:07 > Step:   10500 Progress: 10.5% Elapsed: 1:32:56 temperature: no ada_p: No Discriminator_loss: 1.64509 Generator_loss: 3.22681 
[INFO] 2021-01-15 13:33:56 > Step:   10600 Progress: 10.6% Elapsed: 1:33:45 temperature: no ada_p: No Discriminator_loss: 1.27959 Generator_loss: 2.93047 
[INFO] 2021-01-15 13:34:46 > Step:   10700 Progress: 10.7% Elapsed: 1:34:34 temperature: no ada_p: No Discriminator_loss: 1.62369 Generator_loss: 5.43885 
[INFO] 2021-01-15 13:35:35 > Step:   10800 Progress: 10.8% Elapsed: 1:35:23 temperature: no ada_p: No Discriminator_loss: 1.65687 Generator_loss: 4.26969 
[INFO] 2021-01-15 13:36:24 > Step:   10900 Progress: 10.9% Elapsed: 1:36:12 temperature: no ada_p: No Discriminator_loss: 1.77767 Generator_loss: 3.54551 
[INFO] 2021-01-15 13:37:13 > Step:   11000 Progress: 11.0% Elapsed: 1:37:02 temperature: no ada_p: No Discriminator_loss: 2.92016 Generator_loss: 5.09648 
[INFO] 2021-01-15 13:38:02 > Step:   11100 Progress: 11.1% Elapsed: 1:37:51 temperature: no ada_p: No Discriminator_loss: 2.43084 Generator_loss: 1.50264 
[INFO] 2021-01-15 13:38:51 > Step:   11200 Progress: 11.2% Elapsed: 1:38:40 temperature: no ada_p: No Discriminator_loss: 1.79651 Generator_loss: 8.45588 
[INFO] 2021-01-15 13:39:40 > Step:   11300 Progress: 11.3% Elapsed: 1:39:29 temperature: no ada_p: No Discriminator_loss: 1.29578 Generator_loss: 3.61977 
[INFO] 2021-01-15 13:40:30 > Step:   11400 Progress: 11.4% Elapsed: 1:40:19 temperature: no ada_p: No Discriminator_loss: 1.40396 Generator_loss: 3.62134 
[INFO] 2021-01-15 13:41:19 > Step:   11500 Progress: 11.5% Elapsed: 1:41:08 temperature: no ada_p: No Discriminator_loss: 1.75749 Generator_loss: 6.19599 
[INFO] 2021-01-15 13:42:08 > Step:   11600 Progress: 11.6% Elapsed: 1:41:57 temperature: no ada_p: No Discriminator_loss: 1.39449 Generator_loss: 2.26917 
[INFO] 2021-01-15 13:42:57 > Step:   11700 Progress: 11.7% Elapsed: 1:42:46 temperature: no ada_p: No Discriminator_loss: 1.31539 Generator_loss: 3.57054 
[INFO] 2021-01-15 13:43:47 > Step:   11800 Progress: 11.8% Elapsed: 1:43:36 temperature: no ada_p: No Discriminator_loss: 1.26383 Generator_loss: 4.56298 
[INFO] 2021-01-15 13:44:36 > Step:   11900 Progress: 11.9% Elapsed: 1:44:25 temperature: no ada_p: No Discriminator_loss: 1.30738 Generator_loss: 3.68023 
[INFO] 2021-01-15 13:45:25 > Step:   12000 Progress: 12.0% Elapsed: 1:45:14 temperature: no ada_p: No Discriminator_loss: 1.40852 Generator_loss: 3.98037 
[INFO] 2021-01-15 13:45:25 > Start Evaluation (12000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 13:45:25 > Calculating FID Score....
[INFO] 2021-01-15 13:45:46 > Calculating Inception Score....
[INFO] 2021-01-15 13:45:59 > Calculate F_beta Score....
[INFO] 2021-01-15 13:46:37 > Calculate Accuracies....
[INFO] 2021-01-15 13:46:42 > Calculate Accuracies....
[INFO] 2021-01-15 13:46:44 > F_8 score (Step: 12000, Using valid images): 0.19694617755084246
[INFO] 2021-01-15 13:46:44 > F_1/8 score (Step: 12000, Using valid images): 0.1399133647654408
[INFO] 2021-01-15 13:46:44 > FID score (Step: 12000, Using valid moments): 181.08241444706783
[INFO] 2021-01-15 13:46:44 > Inception score (Step: 12000, 10000 generated images): 3.4756932258605957
[INFO] 2021-01-15 13:46:44 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 13:46:45 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 13:47:34 > Step:   12100 Progress: 12.1% Elapsed: 1:47:23 temperature: no ada_p: No Discriminator_loss: 1.07583 Generator_loss: 3.57303 
[INFO] 2021-01-15 13:48:23 > Step:   12200 Progress: 12.2% Elapsed: 1:48:12 temperature: no ada_p: No Discriminator_loss: 1.25987 Generator_loss: 3.04197 
[INFO] 2021-01-15 13:49:12 > Step:   12300 Progress: 12.3% Elapsed: 1:49:01 temperature: no ada_p: No Discriminator_loss: 2.03582 Generator_loss: 11.2181 
[INFO] 2021-01-15 13:50:01 > Step:   12400 Progress: 12.4% Elapsed: 1:49:50 temperature: no ada_p: No Discriminator_loss: 1.348 Generator_loss: 2.91589 
[INFO] 2021-01-15 13:50:51 > Step:   12500 Progress: 12.5% Elapsed: 1:50:40 temperature: no ada_p: No Discriminator_loss: 0.966297 Generator_loss: 3.76277 
[INFO] 2021-01-15 13:51:40 > Step:   12600 Progress: 12.6% Elapsed: 1:51:29 temperature: no ada_p: No Discriminator_loss: 0.966003 Generator_loss: 3.41074 
[INFO] 2021-01-15 13:52:29 > Step:   12700 Progress: 12.7% Elapsed: 1:52:18 temperature: no ada_p: No Discriminator_loss: 1.2013 Generator_loss: 3.29731 
[INFO] 2021-01-15 13:53:18 > Step:   12800 Progress: 12.8% Elapsed: 1:53:07 temperature: no ada_p: No Discriminator_loss: 1.03073 Generator_loss: 4.17105 
[INFO] 2021-01-15 13:54:08 > Step:   12900 Progress: 12.9% Elapsed: 1:53:57 temperature: no ada_p: No Discriminator_loss: 0.777032 Generator_loss: 6.75219 
[INFO] 2021-01-15 13:54:57 > Step:   13000 Progress: 13.0% Elapsed: 1:54:46 temperature: no ada_p: No Discriminator_loss: 1.2491 Generator_loss: 3.63432 
[INFO] 2021-01-15 13:55:46 > Step:   13100 Progress: 13.1% Elapsed: 1:55:35 temperature: no ada_p: No Discriminator_loss: 1.14607 Generator_loss: 4.02323 
[INFO] 2021-01-15 13:56:35 > Step:   13200 Progress: 13.2% Elapsed: 1:56:24 temperature: no ada_p: No Discriminator_loss: 1.36282 Generator_loss: 1.63301 
[INFO] 2021-01-15 13:57:24 > Step:   13300 Progress: 13.3% Elapsed: 1:57:13 temperature: no ada_p: No Discriminator_loss: 1.06542 Generator_loss: 4.00893 
[INFO] 2021-01-15 13:58:13 > Step:   13400 Progress: 13.4% Elapsed: 1:58:02 temperature: no ada_p: No Discriminator_loss: 2.02552 Generator_loss: 9.34918 
[INFO] 2021-01-15 13:59:02 > Step:   13500 Progress: 13.5% Elapsed: 1:58:51 temperature: no ada_p: No Discriminator_loss: 0.866323 Generator_loss: 3.01685 
[INFO] 2021-01-15 13:59:52 > Step:   13600 Progress: 13.6% Elapsed: 1:59:40 temperature: no ada_p: No Discriminator_loss: 1.08537 Generator_loss: 2.54361 
[INFO] 2021-01-15 14:00:41 > Step:   13700 Progress: 13.7% Elapsed: 2:00:30 temperature: no ada_p: No Discriminator_loss: 0.682394 Generator_loss: 3.61994 
[INFO] 2021-01-15 14:01:30 > Step:   13800 Progress: 13.8% Elapsed: 2:01:19 temperature: no ada_p: No Discriminator_loss: 1.30418 Generator_loss: 2.73497 
[INFO] 2021-01-15 14:02:19 > Step:   13900 Progress: 13.9% Elapsed: 2:02:08 temperature: no ada_p: No Discriminator_loss: 0.889653 Generator_loss: 2.61135 
[INFO] 2021-01-15 14:03:08 > Step:   14000 Progress: 14.0% Elapsed: 2:02:57 temperature: no ada_p: No Discriminator_loss: 0.76372 Generator_loss: 3.22897 
[INFO] 2021-01-15 14:03:08 > Start Evaluation (14000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 14:03:08 > Calculating FID Score....
[INFO] 2021-01-15 14:03:29 > Calculating Inception Score....
[INFO] 2021-01-15 14:03:42 > Calculate F_beta Score....
[INFO] 2021-01-15 14:04:21 > Calculate Accuracies....
[INFO] 2021-01-15 14:04:27 > Calculate Accuracies....
[INFO] 2021-01-15 14:04:28 > F_8 score (Step: 14000, Using valid images): 0.5264418139561942
[INFO] 2021-01-15 14:04:28 > F_1/8 score (Step: 14000, Using valid images): 0.3915400813266059
[INFO] 2021-01-15 14:04:28 > FID score (Step: 14000, Using valid moments): 115.32215922278465
[INFO] 2021-01-15 14:04:28 > Inception score (Step: 14000, 10000 generated images): 5.431212902069092
[INFO] 2021-01-15 14:04:28 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 14:04:30 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 14:05:19 > Step:   14100 Progress: 14.1% Elapsed: 2:05:08 temperature: no ada_p: No Discriminator_loss: 0.720118 Generator_loss: 3.57898 
[INFO] 2021-01-15 14:06:08 > Step:   14200 Progress: 14.2% Elapsed: 2:05:57 temperature: no ada_p: No Discriminator_loss: 0.632141 Generator_loss: 2.92304 
[INFO] 2021-01-15 14:06:57 > Step:   14300 Progress: 14.3% Elapsed: 2:06:46 temperature: no ada_p: No Discriminator_loss: 1.05822 Generator_loss: 4.78715 
[INFO] 2021-01-15 14:07:46 > Step:   14400 Progress: 14.4% Elapsed: 2:07:35 temperature: no ada_p: No Discriminator_loss: 0.900639 Generator_loss: 3.52153 
[INFO] 2021-01-15 14:08:36 > Step:   14500 Progress: 14.5% Elapsed: 2:08:25 temperature: no ada_p: No Discriminator_loss: 0.773383 Generator_loss: 7.46152 
[INFO] 2021-01-15 14:09:25 > Step:   14600 Progress: 14.6% Elapsed: 2:09:14 temperature: no ada_p: No Discriminator_loss: 0.669284 Generator_loss: 2.89453 
[INFO] 2021-01-15 14:10:14 > Step:   14700 Progress: 14.7% Elapsed: 2:10:03 temperature: no ada_p: No Discriminator_loss: 0.76387 Generator_loss: 3.95686 
[INFO] 2021-01-15 14:11:03 > Step:   14800 Progress: 14.8% Elapsed: 2:10:52 temperature: no ada_p: No Discriminator_loss: 1.0548 Generator_loss: 4.98127 
[INFO] 2021-01-15 14:11:52 > Step:   14900 Progress: 14.9% Elapsed: 2:11:41 temperature: no ada_p: No Discriminator_loss: 0.749878 Generator_loss: 3.49817 
[INFO] 2021-01-15 14:12:41 > Step:   15000 Progress: 15.0% Elapsed: 2:12:30 temperature: no ada_p: No Discriminator_loss: 1.79166 Generator_loss: 2.24702 
[INFO] 2021-01-15 14:13:31 > Step:   15100 Progress: 15.1% Elapsed: 2:13:19 temperature: no ada_p: No Discriminator_loss: 0.718428 Generator_loss: 4.7767 
[INFO] 2021-01-15 14:14:20 > Step:   15200 Progress: 15.2% Elapsed: 2:14:08 temperature: no ada_p: No Discriminator_loss: 0.85731 Generator_loss: 2.9137 
[INFO] 2021-01-15 14:15:09 > Step:   15300 Progress: 15.3% Elapsed: 2:14:58 temperature: no ada_p: No Discriminator_loss: 0.602325 Generator_loss: 3.814 
[INFO] 2021-01-15 14:15:58 > Step:   15400 Progress: 15.4% Elapsed: 2:15:47 temperature: no ada_p: No Discriminator_loss: 0.798339 Generator_loss: 4.73287 
[INFO] 2021-01-15 14:16:47 > Step:   15500 Progress: 15.5% Elapsed: 2:16:36 temperature: no ada_p: No Discriminator_loss: 0.930982 Generator_loss: 1.1295 
[INFO] 2021-01-15 14:17:36 > Step:   15600 Progress: 15.6% Elapsed: 2:17:25 temperature: no ada_p: No Discriminator_loss: 0.999113 Generator_loss: 4.36637 
[INFO] 2021-01-15 14:18:26 > Step:   15700 Progress: 15.7% Elapsed: 2:18:15 temperature: no ada_p: No Discriminator_loss: 0.398723 Generator_loss: 4.41511 
[INFO] 2021-01-15 14:19:15 > Step:   15800 Progress: 15.8% Elapsed: 2:19:04 temperature: no ada_p: No Discriminator_loss: 0.622662 Generator_loss: 5.00863 
[INFO] 2021-01-15 14:20:04 > Step:   15900 Progress: 15.9% Elapsed: 2:19:53 temperature: no ada_p: No Discriminator_loss: 0.869026 Generator_loss: 2.81939 
[INFO] 2021-01-15 14:20:54 > Step:   16000 Progress: 16.0% Elapsed: 2:20:43 temperature: no ada_p: No Discriminator_loss: 0.536938 Generator_loss: 2.6689 
[INFO] 2021-01-15 14:20:54 > Start Evaluation (16000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 14:20:54 > Calculating FID Score....
[INFO] 2021-01-15 14:21:15 > Calculating Inception Score....
[INFO] 2021-01-15 14:21:28 > Calculate F_beta Score....
[INFO] 2021-01-15 14:22:07 > Calculate Accuracies....
[INFO] 2021-01-15 14:22:12 > Calculate Accuracies....
[INFO] 2021-01-15 14:22:14 > F_8 score (Step: 16000, Using valid images): 0.4369515681902743
[INFO] 2021-01-15 14:22:14 > F_1/8 score (Step: 16000, Using valid images): 0.29800452679858813
[INFO] 2021-01-15 14:22:14 > FID score (Step: 16000, Using valid moments): 127.1222803523205
[INFO] 2021-01-15 14:22:14 > Inception score (Step: 16000, 10000 generated images): 5.029349327087402
[INFO] 2021-01-15 14:22:14 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 14:22:15 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 14:23:04 > Step:   16100 Progress: 16.1% Elapsed: 2:22:53 temperature: no ada_p: No Discriminator_loss: 0.706498 Generator_loss: 2.83625 
[INFO] 2021-01-15 14:23:53 > Step:   16200 Progress: 16.2% Elapsed: 2:23:42 temperature: no ada_p: No Discriminator_loss: 0.681786 Generator_loss: 4.34113 
[INFO] 2021-01-15 14:24:42 > Step:   16300 Progress: 16.3% Elapsed: 2:24:31 temperature: no ada_p: No Discriminator_loss: 1.54814 Generator_loss: 7.82512 
[INFO] 2021-01-15 14:25:31 > Step:   16400 Progress: 16.4% Elapsed: 2:25:20 temperature: no ada_p: No Discriminator_loss: 0.524465 Generator_loss: 3.39232 
[INFO] 2021-01-15 14:26:20 > Step:   16500 Progress: 16.5% Elapsed: 2:26:09 temperature: no ada_p: No Discriminator_loss: 1.86416 Generator_loss: 5.78846 
[INFO] 2021-01-15 14:27:09 > Step:   16600 Progress: 16.6% Elapsed: 2:26:58 temperature: no ada_p: No Discriminator_loss: 0.57629 Generator_loss: 3.24818 
[INFO] 2021-01-15 14:27:58 > Step:   16700 Progress: 16.7% Elapsed: 2:27:47 temperature: no ada_p: No Discriminator_loss: 0.520019 Generator_loss: 2.9191 
[INFO] 2021-01-15 14:28:48 > Step:   16800 Progress: 16.8% Elapsed: 2:28:37 temperature: no ada_p: No Discriminator_loss: 0.464014 Generator_loss: 2.28774 
[INFO] 2021-01-15 14:29:37 > Step:   16900 Progress: 16.9% Elapsed: 2:29:26 temperature: no ada_p: No Discriminator_loss: 0.513305 Generator_loss: 4.82703 
[INFO] 2021-01-15 14:30:26 > Step:   17000 Progress: 17.0% Elapsed: 2:30:15 temperature: no ada_p: No Discriminator_loss: 0.783686 Generator_loss: 3.0057 
[INFO] 2021-01-15 14:31:15 > Step:   17100 Progress: 17.1% Elapsed: 2:31:04 temperature: no ada_p: No Discriminator_loss: 0.464122 Generator_loss: 2.45933 
[INFO] 2021-01-15 14:32:05 > Step:   17200 Progress: 17.2% Elapsed: 2:31:54 temperature: no ada_p: No Discriminator_loss: 0.444913 Generator_loss: 2.50888 
[INFO] 2021-01-15 14:32:54 > Step:   17300 Progress: 17.3% Elapsed: 2:32:43 temperature: no ada_p: No Discriminator_loss: 1.54057 Generator_loss: 6.24826 
[INFO] 2021-01-15 14:33:43 > Step:   17400 Progress: 17.4% Elapsed: 2:33:32 temperature: no ada_p: No Discriminator_loss: 0.315066 Generator_loss: 3.53726 
[INFO] 2021-01-15 14:34:32 > Step:   17500 Progress: 17.5% Elapsed: 2:34:21 temperature: no ada_p: No Discriminator_loss: 0.472504 Generator_loss: 3.63984 
[INFO] 2021-01-15 14:35:21 > Step:   17600 Progress: 17.6% Elapsed: 2:35:10 temperature: no ada_p: No Discriminator_loss: 0.388779 Generator_loss: 4.03233 
[INFO] 2021-01-15 14:36:11 > Step:   17700 Progress: 17.7% Elapsed: 2:35:59 temperature: no ada_p: No Discriminator_loss: 0.424532 Generator_loss: 3.22166 
[INFO] 2021-01-15 14:37:00 > Step:   17800 Progress: 17.8% Elapsed: 2:36:48 temperature: no ada_p: No Discriminator_loss: 0.457192 Generator_loss: 4.64296 
[INFO] 2021-01-15 14:37:49 > Step:   17900 Progress: 17.9% Elapsed: 2:37:37 temperature: no ada_p: No Discriminator_loss: 0.733367 Generator_loss: 2.31053 
[INFO] 2021-01-15 14:38:38 > Step:   18000 Progress: 18.0% Elapsed: 2:38:27 temperature: no ada_p: No Discriminator_loss: 0.534861 Generator_loss: 1.75864 
[INFO] 2021-01-15 14:38:38 > Start Evaluation (18000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 14:38:38 > Calculating FID Score....
[INFO] 2021-01-15 14:38:59 > Calculating Inception Score....
[INFO] 2021-01-15 14:39:12 > Calculate F_beta Score....
[INFO] 2021-01-15 14:39:50 > Calculate Accuracies....
[INFO] 2021-01-15 14:39:56 > Calculate Accuracies....
[INFO] 2021-01-15 14:39:57 > F_8 score (Step: 18000, Using valid images): 0.5773048706120222
[INFO] 2021-01-15 14:39:57 > F_1/8 score (Step: 18000, Using valid images): 0.39663577091368835
[INFO] 2021-01-15 14:39:57 > FID score (Step: 18000, Using valid moments): 125.32635274127341
[INFO] 2021-01-15 14:39:57 > Inception score (Step: 18000, 10000 generated images): 4.831826210021973
[INFO] 2021-01-15 14:39:57 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 14:39:58 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 14:40:47 > Step:   18100 Progress: 18.1% Elapsed: 2:40:36 temperature: no ada_p: No Discriminator_loss: 0.285504 Generator_loss: 4.56174 
[INFO] 2021-01-15 14:41:36 > Step:   18200 Progress: 18.2% Elapsed: 2:41:25 temperature: no ada_p: No Discriminator_loss: 4.05793 Generator_loss: 3.11245 
[INFO] 2021-01-15 14:42:25 > Step:   18300 Progress: 18.3% Elapsed: 2:42:14 temperature: no ada_p: No Discriminator_loss: 0.451999 Generator_loss: 2.45711 
[INFO] 2021-01-15 14:43:15 > Step:   18400 Progress: 18.4% Elapsed: 2:43:04 temperature: no ada_p: No Discriminator_loss: 0.356305 Generator_loss: 3.71509 
[INFO] 2021-01-15 14:44:04 > Step:   18500 Progress: 18.5% Elapsed: 2:43:53 temperature: no ada_p: No Discriminator_loss: 0.456609 Generator_loss: 2.76811 
[INFO] 2021-01-15 14:44:53 > Step:   18600 Progress: 18.6% Elapsed: 2:44:42 temperature: no ada_p: No Discriminator_loss: 0.502994 Generator_loss: 2.50631 
[INFO] 2021-01-15 14:45:42 > Step:   18700 Progress: 18.7% Elapsed: 2:45:31 temperature: no ada_p: No Discriminator_loss: 0.610757 Generator_loss: 2.4601 
[INFO] 2021-01-15 14:46:32 > Step:   18800 Progress: 18.8% Elapsed: 2:46:20 temperature: no ada_p: No Discriminator_loss: 0.333513 Generator_loss: 4.06812 
[INFO] 2021-01-15 14:47:21 > Step:   18900 Progress: 18.9% Elapsed: 2:47:10 temperature: no ada_p: No Discriminator_loss: 0.742798 Generator_loss: 4.38303 
[INFO] 2021-01-15 14:48:10 > Step:   19000 Progress: 19.0% Elapsed: 2:47:59 temperature: no ada_p: No Discriminator_loss: 0.586608 Generator_loss: 2.98612 
[INFO] 2021-01-15 14:48:59 > Step:   19100 Progress: 19.1% Elapsed: 2:48:48 temperature: no ada_p: No Discriminator_loss: 0.428828 Generator_loss: 3.28392 
[INFO] 2021-01-15 14:49:48 > Step:   19200 Progress: 19.2% Elapsed: 2:49:37 temperature: no ada_p: No Discriminator_loss: 0.475871 Generator_loss: 1.74293 
[INFO] 2021-01-15 14:50:37 > Step:   19300 Progress: 19.3% Elapsed: 2:50:26 temperature: no ada_p: No Discriminator_loss: 0.321883 Generator_loss: 3.9703 
[INFO] 2021-01-15 14:51:26 > Step:   19400 Progress: 19.4% Elapsed: 2:51:15 temperature: no ada_p: No Discriminator_loss: 0.401152 Generator_loss: 2.7956 
[INFO] 2021-01-15 14:52:15 > Step:   19500 Progress: 19.5% Elapsed: 2:52:04 temperature: no ada_p: No Discriminator_loss: 0.478778 Generator_loss: 2.4775 
[INFO] 2021-01-15 14:53:05 > Step:   19600 Progress: 19.6% Elapsed: 2:52:54 temperature: no ada_p: No Discriminator_loss: 0.401477 Generator_loss: 3.76737 
[INFO] 2021-01-15 14:53:54 > Step:   19700 Progress: 19.7% Elapsed: 2:53:43 temperature: no ada_p: No Discriminator_loss: 0.342652 Generator_loss: 3.39366 
[INFO] 2021-01-15 14:54:43 > Step:   19800 Progress: 19.8% Elapsed: 2:54:32 temperature: no ada_p: No Discriminator_loss: 1.03318 Generator_loss: 3.83538 
[INFO] 2021-01-15 14:55:33 > Step:   19900 Progress: 19.9% Elapsed: 2:55:22 temperature: no ada_p: No Discriminator_loss: 0.198203 Generator_loss: 3.29736 
[INFO] 2021-01-15 14:56:22 > Step:   20000 Progress: 20.0% Elapsed: 2:56:11 temperature: no ada_p: No Discriminator_loss: 0.331742 Generator_loss: 3.40084 
[INFO] 2021-01-15 14:56:22 > Start Evaluation (20000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 14:56:22 > Calculating FID Score....
[INFO] 2021-01-15 14:56:43 > Calculating Inception Score....
[INFO] 2021-01-15 14:56:55 > Calculate F_beta Score....
[INFO] 2021-01-15 14:57:34 > Calculate Accuracies....
[INFO] 2021-01-15 14:57:39 > Calculate Accuracies....
[INFO] 2021-01-15 14:57:41 > F_8 score (Step: 20000, Using valid images): 0.5300540475078518
[INFO] 2021-01-15 14:57:41 > F_1/8 score (Step: 20000, Using valid images): 0.3195482445851153
[INFO] 2021-01-15 14:57:41 > FID score (Step: 20000, Using valid moments): 133.11593919577763
[INFO] 2021-01-15 14:57:41 > Inception score (Step: 20000, 10000 generated images): 6.0202460289001465
[INFO] 2021-01-15 14:57:41 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 14:57:42 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 14:58:31 > Step:   20100 Progress: 20.1% Elapsed: 2:58:20 temperature: no ada_p: No Discriminator_loss: 0.325943 Generator_loss: 2.8791 
[INFO] 2021-01-15 14:59:20 > Step:   20200 Progress: 20.2% Elapsed: 2:59:09 temperature: no ada_p: No Discriminator_loss: 0.51487 Generator_loss: 4.17629 
[INFO] 2021-01-15 15:00:10 > Step:   20300 Progress: 20.3% Elapsed: 2:59:59 temperature: no ada_p: No Discriminator_loss: 0.809377 Generator_loss: 2.81488 
[INFO] 2021-01-15 15:00:59 > Step:   20400 Progress: 20.4% Elapsed: 3:00:48 temperature: no ada_p: No Discriminator_loss: 0.296433 Generator_loss: 2.45234 
[INFO] 2021-01-15 15:01:48 > Step:   20500 Progress: 20.5% Elapsed: 3:01:37 temperature: no ada_p: No Discriminator_loss: 1.16802 Generator_loss: 6.77187 
[INFO] 2021-01-15 15:02:37 > Step:   20600 Progress: 20.6% Elapsed: 3:02:26 temperature: no ada_p: No Discriminator_loss: 0.352366 Generator_loss: 3.32337 
[INFO] 2021-01-15 15:03:27 > Step:   20700 Progress: 20.7% Elapsed: 3:03:15 temperature: no ada_p: No Discriminator_loss: 0.408693 Generator_loss: 2.49892 
[INFO] 2021-01-15 15:04:16 > Step:   20800 Progress: 20.8% Elapsed: 3:04:04 temperature: no ada_p: No Discriminator_loss: 0.408772 Generator_loss: 3.05918 
[INFO] 2021-01-15 15:05:05 > Step:   20900 Progress: 20.9% Elapsed: 3:04:54 temperature: no ada_p: No Discriminator_loss: 0.411523 Generator_loss: 3.90787 
[INFO] 2021-01-15 15:05:54 > Step:   21000 Progress: 21.0% Elapsed: 3:05:43 temperature: no ada_p: No Discriminator_loss: 0.470375 Generator_loss: 3.42137 
[INFO] 2021-01-15 15:06:43 > Step:   21100 Progress: 21.1% Elapsed: 3:06:32 temperature: no ada_p: No Discriminator_loss: 0.41931 Generator_loss: 3.04881 
[INFO] 2021-01-15 15:07:32 > Step:   21200 Progress: 21.2% Elapsed: 3:07:21 temperature: no ada_p: No Discriminator_loss: 0.641359 Generator_loss: 2.94295 
[INFO] 2021-01-15 15:08:21 > Step:   21300 Progress: 21.3% Elapsed: 3:08:10 temperature: no ada_p: No Discriminator_loss: 0.457806 Generator_loss: 4.24837 
[INFO] 2021-01-15 15:09:10 > Step:   21400 Progress: 21.4% Elapsed: 3:08:59 temperature: no ada_p: No Discriminator_loss: 0.918921 Generator_loss: 5.50197 
[INFO] 2021-01-15 15:10:00 > Step:   21500 Progress: 21.5% Elapsed: 3:09:49 temperature: no ada_p: No Discriminator_loss: 0.328741 Generator_loss: 2.91633 
[INFO] 2021-01-15 15:10:49 > Step:   21600 Progress: 21.6% Elapsed: 3:10:38 temperature: no ada_p: No Discriminator_loss: 0.446551 Generator_loss: 3.96543 
[INFO] 2021-01-15 15:11:38 > Step:   21700 Progress: 21.7% Elapsed: 3:11:27 temperature: no ada_p: No Discriminator_loss: 1.06307 Generator_loss: 2.0231 
[INFO] 2021-01-15 15:12:27 > Step:   21800 Progress: 21.8% Elapsed: 3:12:16 temperature: no ada_p: No Discriminator_loss: 0.333581 Generator_loss: 2.80137 
[INFO] 2021-01-15 15:13:17 > Step:   21900 Progress: 21.9% Elapsed: 3:13:06 temperature: no ada_p: No Discriminator_loss: 0.21129 Generator_loss: 4.89724 
[INFO] 2021-01-15 15:14:06 > Step:   22000 Progress: 22.0% Elapsed: 3:13:55 temperature: no ada_p: No Discriminator_loss: 1.73874 Generator_loss: 1.32295 
[INFO] 2021-01-15 15:14:06 > Start Evaluation (22000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 15:14:06 > Calculating FID Score....
[INFO] 2021-01-15 15:14:26 > Calculating Inception Score....
[INFO] 2021-01-15 15:14:39 > Calculate F_beta Score....
[INFO] 2021-01-15 15:15:18 > Calculate Accuracies....
[INFO] 2021-01-15 15:15:24 > Calculate Accuracies....
[INFO] 2021-01-15 15:15:26 > F_8 score (Step: 22000, Using valid images): 0.5485825478510428
[INFO] 2021-01-15 15:15:26 > F_1/8 score (Step: 22000, Using valid images): 0.4409928711225754
[INFO] 2021-01-15 15:15:26 > FID score (Step: 22000, Using valid moments): 111.16290843726091
[INFO] 2021-01-15 15:15:26 > Inception score (Step: 22000, 10000 generated images): 5.493508338928223
[INFO] 2021-01-15 15:15:26 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 15:15:27 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 15:16:15 > Step:   22100 Progress: 22.1% Elapsed: 3:16:04 temperature: no ada_p: No Discriminator_loss: 0.32853 Generator_loss: 2.83142 
[INFO] 2021-01-15 15:17:04 > Step:   22200 Progress: 22.2% Elapsed: 3:16:53 temperature: no ada_p: No Discriminator_loss: 0.362805 Generator_loss: 3.90493 
[INFO] 2021-01-15 15:17:54 > Step:   22300 Progress: 22.3% Elapsed: 3:17:43 temperature: no ada_p: No Discriminator_loss: 0.330588 Generator_loss: 2.557 
[INFO] 2021-01-15 15:18:43 > Step:   22400 Progress: 22.4% Elapsed: 3:18:32 temperature: no ada_p: No Discriminator_loss: 0.584764 Generator_loss: 3.61141 
[INFO] 2021-01-15 15:19:32 > Step:   22500 Progress: 22.5% Elapsed: 3:19:21 temperature: no ada_p: No Discriminator_loss: 0.244333 Generator_loss: 3.90644 
[INFO] 2021-01-15 15:20:21 > Step:   22600 Progress: 22.6% Elapsed: 3:20:10 temperature: no ada_p: No Discriminator_loss: 0.303783 Generator_loss: 2.98141 
[INFO] 2021-01-15 15:21:11 > Step:   22700 Progress: 22.7% Elapsed: 3:21:00 temperature: no ada_p: No Discriminator_loss: 0.408186 Generator_loss: 3.91383 
[INFO] 2021-01-15 15:22:00 > Step:   22800 Progress: 22.8% Elapsed: 3:21:49 temperature: no ada_p: No Discriminator_loss: 0.468521 Generator_loss: 3.75017 
[INFO] 2021-01-15 15:22:49 > Step:   22900 Progress: 22.9% Elapsed: 3:22:38 temperature: no ada_p: No Discriminator_loss: 0.60675 Generator_loss: 4.52292 
[INFO] 2021-01-15 15:23:38 > Step:   23000 Progress: 23.0% Elapsed: 3:23:27 temperature: no ada_p: No Discriminator_loss: 1.03291 Generator_loss: 1.08549 
[INFO] 2021-01-15 15:24:27 > Step:   23100 Progress: 23.1% Elapsed: 3:24:16 temperature: no ada_p: No Discriminator_loss: 0.291979 Generator_loss: 3.80264 
[INFO] 2021-01-15 15:25:16 > Step:   23200 Progress: 23.2% Elapsed: 3:25:05 temperature: no ada_p: No Discriminator_loss: 0.317004 Generator_loss: 3.30448 
[INFO] 2021-01-15 15:26:05 > Step:   23300 Progress: 23.3% Elapsed: 3:25:54 temperature: no ada_p: No Discriminator_loss: 0.418809 Generator_loss: 2.91704 
[INFO] 2021-01-15 15:26:54 > Step:   23400 Progress: 23.4% Elapsed: 3:26:43 temperature: no ada_p: No Discriminator_loss: 0.364758 Generator_loss: 4.26242 
[INFO] 2021-01-15 15:27:44 > Step:   23500 Progress: 23.5% Elapsed: 3:27:33 temperature: no ada_p: No Discriminator_loss: 0.327208 Generator_loss: 3.18857 
[INFO] 2021-01-15 15:28:33 > Step:   23600 Progress: 23.6% Elapsed: 3:28:22 temperature: no ada_p: No Discriminator_loss: 0.370246 Generator_loss: 2.68195 
[INFO] 2021-01-15 15:29:22 > Step:   23700 Progress: 23.7% Elapsed: 3:29:11 temperature: no ada_p: No Discriminator_loss: 0.236193 Generator_loss: 3.46052 
[INFO] 2021-01-15 15:30:12 > Step:   23800 Progress: 23.8% Elapsed: 3:30:01 temperature: no ada_p: No Discriminator_loss: 0.434492 Generator_loss: 3.63198 
[INFO] 2021-01-15 15:31:01 > Step:   23900 Progress: 23.9% Elapsed: 3:30:50 temperature: no ada_p: No Discriminator_loss: 0.316212 Generator_loss: 2.66767 
[INFO] 2021-01-15 15:31:50 > Step:   24000 Progress: 24.0% Elapsed: 3:31:39 temperature: no ada_p: No Discriminator_loss: 0.228077 Generator_loss: 3.0826 
[INFO] 2021-01-15 15:31:50 > Start Evaluation (24000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 15:31:50 > Calculating FID Score....
[INFO] 2021-01-15 15:32:10 > Calculating Inception Score....
[INFO] 2021-01-15 15:32:23 > Calculate F_beta Score....
[INFO] 2021-01-15 15:33:01 > Calculate Accuracies....
[INFO] 2021-01-15 15:33:07 > Calculate Accuracies....
[INFO] 2021-01-15 15:33:08 > F_8 score (Step: 24000, Using valid images): 0.5006003570444981
[INFO] 2021-01-15 15:33:08 > F_1/8 score (Step: 24000, Using valid images): 0.5187996693851858
[INFO] 2021-01-15 15:33:08 > FID score (Step: 24000, Using valid moments): 109.86557737179965
[INFO] 2021-01-15 15:33:08 > Inception score (Step: 24000, 10000 generated images): 5.2419843673706055
[INFO] 2021-01-15 15:33:08 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 15:33:09 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 15:33:58 > Step:   24100 Progress: 24.1% Elapsed: 3:33:47 temperature: no ada_p: No Discriminator_loss: 0.908733 Generator_loss: 1.70798 
[INFO] 2021-01-15 15:34:48 > Step:   24200 Progress: 24.2% Elapsed: 3:34:37 temperature: no ada_p: No Discriminator_loss: 0.209302 Generator_loss: 3.69497 
[INFO] 2021-01-15 15:35:37 > Step:   24300 Progress: 24.3% Elapsed: 3:35:26 temperature: no ada_p: No Discriminator_loss: 0.380564 Generator_loss: 4.44333 
[INFO] 2021-01-15 15:36:26 > Step:   24400 Progress: 24.4% Elapsed: 3:36:15 temperature: no ada_p: No Discriminator_loss: 0.276985 Generator_loss: 3.60627 
[INFO] 2021-01-15 15:37:15 > Step:   24500 Progress: 24.5% Elapsed: 3:37:04 temperature: no ada_p: No Discriminator_loss: 0.208502 Generator_loss: 3.85229 
[INFO] 2021-01-15 15:38:04 > Step:   24600 Progress: 24.6% Elapsed: 3:37:53 temperature: no ada_p: No Discriminator_loss: 0.232794 Generator_loss: 3.00876 
[INFO] 2021-01-15 15:38:54 > Step:   24700 Progress: 24.7% Elapsed: 3:38:42 temperature: no ada_p: No Discriminator_loss: 0.256985 Generator_loss: 2.50208 
[INFO] 2021-01-15 15:39:42 > Step:   24800 Progress: 24.8% Elapsed: 3:39:31 temperature: no ada_p: No Discriminator_loss: 0.240672 Generator_loss: 3.51905 
[INFO] 2021-01-15 15:40:31 > Step:   24900 Progress: 24.9% Elapsed: 3:40:20 temperature: no ada_p: No Discriminator_loss: 0.343275 Generator_loss: 3.59093 
[INFO] 2021-01-15 15:41:21 > Step:   25000 Progress: 25.0% Elapsed: 3:41:10 temperature: no ada_p: No Discriminator_loss: 0.196355 Generator_loss: 3.80933 
[INFO] 2021-01-15 15:42:10 > Step:   25100 Progress: 25.1% Elapsed: 3:41:59 temperature: no ada_p: No Discriminator_loss: 1.91508 Generator_loss: 3.52375 
[INFO] 2021-01-15 15:42:59 > Step:   25200 Progress: 25.2% Elapsed: 3:42:48 temperature: no ada_p: No Discriminator_loss: 0.247783 Generator_loss: 2.44881 
[INFO] 2021-01-15 15:43:48 > Step:   25300 Progress: 25.3% Elapsed: 3:43:37 temperature: no ada_p: No Discriminator_loss: 0.489678 Generator_loss: 1.69284 
[INFO] 2021-01-15 15:44:38 > Step:   25400 Progress: 25.4% Elapsed: 3:44:26 temperature: no ada_p: No Discriminator_loss: 0.198622 Generator_loss: 3.67287 
[INFO] 2021-01-15 15:45:27 > Step:   25500 Progress: 25.5% Elapsed: 3:45:15 temperature: no ada_p: No Discriminator_loss: 0.541721 Generator_loss: 3.43306 
[INFO] 2021-01-15 15:46:16 > Step:   25600 Progress: 25.6% Elapsed: 3:46:04 temperature: no ada_p: No Discriminator_loss: 0.467407 Generator_loss: 3.53997 
[INFO] 2021-01-15 15:47:05 > Step:   25700 Progress: 25.7% Elapsed: 3:46:53 temperature: no ada_p: No Discriminator_loss: 0.281994 Generator_loss: 3.76074 
[INFO] 2021-01-15 15:47:54 > Step:   25800 Progress: 25.8% Elapsed: 3:47:43 temperature: no ada_p: No Discriminator_loss: 0.193152 Generator_loss: 3.12517 
[INFO] 2021-01-15 15:48:43 > Step:   25900 Progress: 25.9% Elapsed: 3:48:32 temperature: no ada_p: No Discriminator_loss: 0.283851 Generator_loss: 2.8313 
[INFO] 2021-01-15 15:49:32 > Step:   26000 Progress: 26.0% Elapsed: 3:49:21 temperature: no ada_p: No Discriminator_loss: 0.297147 Generator_loss: 3.125 
[INFO] 2021-01-15 15:49:32 > Start Evaluation (26000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 15:49:32 > Calculating FID Score....
[INFO] 2021-01-15 15:49:53 > Calculating Inception Score....
[INFO] 2021-01-15 15:50:06 > Calculate F_beta Score....
[INFO] 2021-01-15 15:50:45 > Calculate Accuracies....
[INFO] 2021-01-15 15:50:50 > Calculate Accuracies....
[INFO] 2021-01-15 15:50:52 > F_8 score (Step: 26000, Using valid images): 0.4427501009267177
[INFO] 2021-01-15 15:50:52 > F_1/8 score (Step: 26000, Using valid images): 0.1093533219545153
[INFO] 2021-01-15 15:50:52 > FID score (Step: 26000, Using valid moments): 157.98143746591137
[INFO] 2021-01-15 15:50:52 > Inception score (Step: 26000, 10000 generated images): 4.204927444458008
[INFO] 2021-01-15 15:50:52 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 15:50:53 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 15:51:42 > Step:   26100 Progress: 26.1% Elapsed: 3:51:31 temperature: no ada_p: No Discriminator_loss: 0.228708 Generator_loss: 3.0088 
[INFO] 2021-01-15 15:52:32 > Step:   26200 Progress: 26.2% Elapsed: 3:52:20 temperature: no ada_p: No Discriminator_loss: 0.178549 Generator_loss: 3.2532 
[INFO] 2021-01-15 15:53:21 > Step:   26300 Progress: 26.3% Elapsed: 3:53:09 temperature: no ada_p: No Discriminator_loss: 0.17605 Generator_loss: 4.05478 
[INFO] 2021-01-15 15:54:10 > Step:   26400 Progress: 26.4% Elapsed: 3:53:58 temperature: no ada_p: No Discriminator_loss: 0.185731 Generator_loss: 3.18164 
[INFO] 2021-01-15 15:54:59 > Step:   26500 Progress: 26.5% Elapsed: 3:54:47 temperature: no ada_p: No Discriminator_loss: 0.361934 Generator_loss: 2.52942 
[INFO] 2021-01-15 15:55:48 > Step:   26600 Progress: 26.6% Elapsed: 3:55:37 temperature: no ada_p: No Discriminator_loss: 0.295717 Generator_loss: 2.20712 
[INFO] 2021-01-15 15:56:37 > Step:   26700 Progress: 26.7% Elapsed: 3:56:26 temperature: no ada_p: No Discriminator_loss: 0.184582 Generator_loss: 2.79175 
[INFO] 2021-01-15 15:57:26 > Step:   26800 Progress: 26.8% Elapsed: 3:57:15 temperature: no ada_p: No Discriminator_loss: 0.17885 Generator_loss: 2.93748 
[INFO] 2021-01-15 15:58:15 > Step:   26900 Progress: 26.9% Elapsed: 3:58:04 temperature: no ada_p: No Discriminator_loss: 0.196623 Generator_loss: 3.49168 
[INFO] 2021-01-15 15:59:05 > Step:   27000 Progress: 27.0% Elapsed: 3:58:54 temperature: no ada_p: No Discriminator_loss: 0.518159 Generator_loss: 3.09804 
[INFO] 2021-01-15 15:59:54 > Step:   27100 Progress: 27.1% Elapsed: 3:59:43 temperature: no ada_p: No Discriminator_loss: 0.21839 Generator_loss: 1.88959 
[INFO] 2021-01-15 16:00:43 > Step:   27200 Progress: 27.2% Elapsed: 4:00:32 temperature: no ada_p: No Discriminator_loss: 0.180405 Generator_loss: 2.93323 
[INFO] 2021-01-15 16:01:32 > Step:   27300 Progress: 27.3% Elapsed: 4:01:21 temperature: no ada_p: No Discriminator_loss: 0.235836 Generator_loss: 2.94272 
[INFO] 2021-01-15 16:02:22 > Step:   27400 Progress: 27.4% Elapsed: 4:02:10 temperature: no ada_p: No Discriminator_loss: 0.554253 Generator_loss: 6.02458 
[INFO] 2021-01-15 16:03:10 > Step:   27500 Progress: 27.5% Elapsed: 4:02:59 temperature: no ada_p: No Discriminator_loss: 0.42011 Generator_loss: 3.82959 
[INFO] 2021-01-15 16:03:59 > Step:   27600 Progress: 27.6% Elapsed: 4:03:48 temperature: no ada_p: No Discriminator_loss: 0.958058 Generator_loss: 0.590313 
[INFO] 2021-01-15 16:04:49 > Step:   27700 Progress: 27.7% Elapsed: 4:04:38 temperature: no ada_p: No Discriminator_loss: 0.144786 Generator_loss: 3.06287 
[INFO] 2021-01-15 16:05:38 > Step:   27800 Progress: 27.8% Elapsed: 4:05:27 temperature: no ada_p: No Discriminator_loss: 0.221032 Generator_loss: 3.49628 
[INFO] 2021-01-15 16:06:27 > Step:   27900 Progress: 27.9% Elapsed: 4:06:16 temperature: no ada_p: No Discriminator_loss: 0.160013 Generator_loss: 2.62757 
[INFO] 2021-01-15 16:07:16 > Step:   28000 Progress: 28.0% Elapsed: 4:07:05 temperature: no ada_p: No Discriminator_loss: 0.207447 Generator_loss: 4.32031 
[INFO] 2021-01-15 16:07:16 > Start Evaluation (28000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 16:07:16 > Calculating FID Score....
[INFO] 2021-01-15 16:07:37 > Calculating Inception Score....
[INFO] 2021-01-15 16:07:50 > Calculate F_beta Score....
[INFO] 2021-01-15 16:08:27 > Calculate Accuracies....
[INFO] 2021-01-15 16:08:33 > Calculate Accuracies....
[INFO] 2021-01-15 16:08:34 > F_8 score (Step: 28000, Using valid images): 0.4422740221441175
[INFO] 2021-01-15 16:08:34 > F_1/8 score (Step: 28000, Using valid images): 0.21108623059244044
[INFO] 2021-01-15 16:08:34 > FID score (Step: 28000, Using valid moments): 142.07133316246404
[INFO] 2021-01-15 16:08:34 > Inception score (Step: 28000, 10000 generated images): 4.921797752380371
[INFO] 2021-01-15 16:08:34 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 16:08:35 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 16:09:25 > Step:   28100 Progress: 28.1% Elapsed: 4:09:14 temperature: no ada_p: No Discriminator_loss: 0.151777 Generator_loss: 3.08926 
[INFO] 2021-01-15 16:10:14 > Step:   28200 Progress: 28.2% Elapsed: 4:10:03 temperature: no ada_p: No Discriminator_loss: 0.281029 Generator_loss: 2.63306 
[INFO] 2021-01-15 16:11:03 > Step:   28300 Progress: 28.3% Elapsed: 4:10:52 temperature: no ada_p: No Discriminator_loss: 0.245854 Generator_loss: 3.20183 
[INFO] 2021-01-15 16:11:52 > Step:   28400 Progress: 28.4% Elapsed: 4:11:41 temperature: no ada_p: No Discriminator_loss: 0.47676 Generator_loss: 3.14858 
[INFO] 2021-01-15 16:12:41 > Step:   28500 Progress: 28.5% Elapsed: 4:12:30 temperature: no ada_p: No Discriminator_loss: 0.337831 Generator_loss: 4.95852 
[INFO] 2021-01-15 16:13:30 > Step:   28600 Progress: 28.6% Elapsed: 4:13:19 temperature: no ada_p: No Discriminator_loss: 0.20345 Generator_loss: 3.33196 
[INFO] 2021-01-15 16:14:19 > Step:   28700 Progress: 28.7% Elapsed: 4:14:08 temperature: no ada_p: No Discriminator_loss: 0.384033 Generator_loss: 3.82864 
[INFO] 2021-01-15 16:15:08 > Step:   28800 Progress: 28.8% Elapsed: 4:14:57 temperature: no ada_p: No Discriminator_loss: 0.202469 Generator_loss: 2.60562 
[INFO] 2021-01-15 16:15:58 > Step:   28900 Progress: 28.9% Elapsed: 4:15:47 temperature: no ada_p: No Discriminator_loss: 0.155528 Generator_loss: 4.34876 
[INFO] 2021-01-15 16:16:47 > Step:   29000 Progress: 29.0% Elapsed: 4:16:36 temperature: no ada_p: No Discriminator_loss: 0.115866 Generator_loss: 3.19145 
[INFO] 2021-01-15 16:17:36 > Step:   29100 Progress: 29.1% Elapsed: 4:17:25 temperature: no ada_p: No Discriminator_loss: 0.177794 Generator_loss: 3.72007 
[INFO] 2021-01-15 16:18:25 > Step:   29200 Progress: 29.2% Elapsed: 4:18:14 temperature: no ada_p: No Discriminator_loss: 0.213197 Generator_loss: 3.04304 
[INFO] 2021-01-15 16:19:15 > Step:   29300 Progress: 29.3% Elapsed: 4:19:04 temperature: no ada_p: No Discriminator_loss: 0.230484 Generator_loss: 3.54853 
[INFO] 2021-01-15 16:20:04 > Step:   29400 Progress: 29.4% Elapsed: 4:19:53 temperature: no ada_p: No Discriminator_loss: 0.716046 Generator_loss: 3.97264 
[INFO] 2021-01-15 16:20:53 > Step:   29500 Progress: 29.5% Elapsed: 4:20:41 temperature: no ada_p: No Discriminator_loss: 0.233632 Generator_loss: 2.70267 
[INFO] 2021-01-15 16:21:42 > Step:   29600 Progress: 29.6% Elapsed: 4:21:30 temperature: no ada_p: No Discriminator_loss: 14.3304 Generator_loss: 3.4452 
[INFO] 2021-01-15 16:22:31 > Step:   29700 Progress: 29.7% Elapsed: 4:22:20 temperature: no ada_p: No Discriminator_loss: 0.0811568 Generator_loss: 1.94231 
[INFO] 2021-01-15 16:23:20 > Step:   29800 Progress: 29.8% Elapsed: 4:23:09 temperature: no ada_p: No Discriminator_loss: 1.18227 Generator_loss: 3.99865 
[INFO] 2021-01-15 16:24:09 > Step:   29900 Progress: 29.9% Elapsed: 4:23:58 temperature: no ada_p: No Discriminator_loss: 0.224052 Generator_loss: 3.29191 
[INFO] 2021-01-15 16:24:58 > Step:   30000 Progress: 30.0% Elapsed: 4:24:47 temperature: no ada_p: No Discriminator_loss: 0.209891 Generator_loss: 3.4396 
[INFO] 2021-01-15 16:24:58 > Start Evaluation (30000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 16:24:58 > Calculating FID Score....
[INFO] 2021-01-15 16:25:19 > Calculating Inception Score....
[INFO] 2021-01-15 16:25:32 > Calculate F_beta Score....
[INFO] 2021-01-15 16:26:10 > Calculate Accuracies....
[INFO] 2021-01-15 16:26:16 > Calculate Accuracies....
[INFO] 2021-01-15 16:26:18 > F_8 score (Step: 30000, Using valid images): 0.5530031976931429
[INFO] 2021-01-15 16:26:18 > F_1/8 score (Step: 30000, Using valid images): 0.26073720310020554
[INFO] 2021-01-15 16:26:18 > FID score (Step: 30000, Using valid moments): 143.1358011908584
[INFO] 2021-01-15 16:26:18 > Inception score (Step: 30000, 10000 generated images): 6.113938331604004
[INFO] 2021-01-15 16:26:18 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 16:26:19 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 16:27:08 > Step:   30100 Progress: 30.1% Elapsed: 4:26:57 temperature: no ada_p: No Discriminator_loss: 0.253935 Generator_loss: 3.77148 
[INFO] 2021-01-15 16:27:57 > Step:   30200 Progress: 30.2% Elapsed: 4:27:46 temperature: no ada_p: No Discriminator_loss: 0.155932 Generator_loss: 4.04531 
[INFO] 2021-01-15 16:28:46 > Step:   30300 Progress: 30.3% Elapsed: 4:28:35 temperature: no ada_p: No Discriminator_loss: 0.530168 Generator_loss: 5.00038 
[INFO] 2021-01-15 16:29:35 > Step:   30400 Progress: 30.4% Elapsed: 4:29:24 temperature: no ada_p: No Discriminator_loss: 0.493639 Generator_loss: 3.06802 
[INFO] 2021-01-15 16:30:25 > Step:   30500 Progress: 30.5% Elapsed: 4:30:14 temperature: no ada_p: No Discriminator_loss: 0.257719 Generator_loss: 3.99379 
[INFO] 2021-01-15 16:31:14 > Step:   30600 Progress: 30.6% Elapsed: 4:31:03 temperature: no ada_p: No Discriminator_loss: 0.19436 Generator_loss: 1.86291 
[INFO] 2021-01-15 16:32:03 > Step:   30700 Progress: 30.7% Elapsed: 4:31:52 temperature: no ada_p: No Discriminator_loss: 0.189454 Generator_loss: 3.51525 
[INFO] 2021-01-15 16:32:52 > Step:   30800 Progress: 30.8% Elapsed: 4:32:41 temperature: no ada_p: No Discriminator_loss: 0.181265 Generator_loss: 3.15433 
[INFO] 2021-01-15 16:33:41 > Step:   30900 Progress: 30.9% Elapsed: 4:33:30 temperature: no ada_p: No Discriminator_loss: 0.139087 Generator_loss: 3.32269 
[INFO] 2021-01-15 16:34:30 > Step:   31000 Progress: 31.0% Elapsed: 4:34:19 temperature: no ada_p: No Discriminator_loss: 0.217479 Generator_loss: 3.17542 
[INFO] 2021-01-15 16:35:19 > Step:   31100 Progress: 31.1% Elapsed: 4:35:08 temperature: no ada_p: No Discriminator_loss: 0.111181 Generator_loss: 3.66156 
[INFO] 2021-01-15 16:36:08 > Step:   31200 Progress: 31.2% Elapsed: 4:35:57 temperature: no ada_p: No Discriminator_loss: 0.174294 Generator_loss: 2.75208 
[INFO] 2021-01-15 16:36:58 > Step:   31300 Progress: 31.3% Elapsed: 4:36:47 temperature: no ada_p: No Discriminator_loss: 0.156175 Generator_loss: 3.96023 
[INFO] 2021-01-15 16:37:47 > Step:   31400 Progress: 31.4% Elapsed: 4:37:36 temperature: no ada_p: No Discriminator_loss: 0.333766 Generator_loss: 3.73322 
[INFO] 2021-01-15 16:38:36 > Step:   31500 Progress: 31.5% Elapsed: 4:38:25 temperature: no ada_p: No Discriminator_loss: 0.188017 Generator_loss: 2.50026 
[INFO] 2021-01-15 16:39:26 > Step:   31600 Progress: 31.6% Elapsed: 4:39:15 temperature: no ada_p: No Discriminator_loss: 0.298442 Generator_loss: 4.38821 
[INFO] 2021-01-15 16:40:15 > Step:   31700 Progress: 31.7% Elapsed: 4:40:04 temperature: no ada_p: No Discriminator_loss: 0.117924 Generator_loss: 3.38998 
[INFO] 2021-01-15 16:41:04 > Step:   31800 Progress: 31.8% Elapsed: 4:40:53 temperature: no ada_p: No Discriminator_loss: 0.379153 Generator_loss: 2.88279 
[INFO] 2021-01-15 16:41:53 > Step:   31900 Progress: 31.9% Elapsed: 4:41:42 temperature: no ada_p: No Discriminator_loss: 0.210842 Generator_loss: 3.35664 
[INFO] 2021-01-15 16:42:42 > Step:   32000 Progress: 32.0% Elapsed: 4:42:31 temperature: no ada_p: No Discriminator_loss: 0.230251 Generator_loss: 2.66628 
[INFO] 2021-01-15 16:42:42 > Start Evaluation (32000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 16:42:42 > Calculating FID Score....
[INFO] 2021-01-15 16:43:03 > Calculating Inception Score....
[INFO] 2021-01-15 16:43:16 > Calculate F_beta Score....
[INFO] 2021-01-15 16:43:53 > Calculate Accuracies....
[INFO] 2021-01-15 16:43:59 > Calculate Accuracies....
[INFO] 2021-01-15 16:44:01 > F_8 score (Step: 32000, Using valid images): 0.5149040547484375
[INFO] 2021-01-15 16:44:01 > F_1/8 score (Step: 32000, Using valid images): 0.4331925146140136
[INFO] 2021-01-15 16:44:01 > FID score (Step: 32000, Using valid moments): 129.0734447029759
[INFO] 2021-01-15 16:44:01 > Inception score (Step: 32000, 10000 generated images): 6.056430816650391
[INFO] 2021-01-15 16:44:01 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 16:44:02 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 16:44:50 > Step:   32100 Progress: 32.1% Elapsed: 4:44:39 temperature: no ada_p: No Discriminator_loss: 0.245393 Generator_loss: 1.80945 
[INFO] 2021-01-15 16:45:39 > Step:   32200 Progress: 32.2% Elapsed: 4:45:28 temperature: no ada_p: No Discriminator_loss: 0.170827 Generator_loss: 2.43455 
[INFO] 2021-01-15 16:46:28 > Step:   32300 Progress: 32.3% Elapsed: 4:46:17 temperature: no ada_p: No Discriminator_loss: 0.314687 Generator_loss: 2.60962 
[INFO] 2021-01-15 16:47:18 > Step:   32400 Progress: 32.4% Elapsed: 4:47:07 temperature: no ada_p: No Discriminator_loss: 0.26946 Generator_loss: 2.453 
[INFO] 2021-01-15 16:48:07 > Step:   32500 Progress: 32.5% Elapsed: 4:47:56 temperature: no ada_p: No Discriminator_loss: 0.170023 Generator_loss: 3.50282 
[INFO] 2021-01-15 16:48:56 > Step:   32600 Progress: 32.6% Elapsed: 4:48:45 temperature: no ada_p: No Discriminator_loss: 0.241023 Generator_loss: 2.32499 
[INFO] 2021-01-15 16:49:45 > Step:   32700 Progress: 32.7% Elapsed: 4:49:34 temperature: no ada_p: No Discriminator_loss: 0.170132 Generator_loss: 2.08523 
[INFO] 2021-01-15 16:50:35 > Step:   32800 Progress: 32.8% Elapsed: 4:50:24 temperature: no ada_p: No Discriminator_loss: 0.178317 Generator_loss: 3.34086 
[INFO] 2021-01-15 16:51:24 > Step:   32900 Progress: 32.9% Elapsed: 4:51:13 temperature: no ada_p: No Discriminator_loss: 0.178171 Generator_loss: 2.89979 
[INFO] 2021-01-15 16:52:13 > Step:   33000 Progress: 33.0% Elapsed: 4:52:02 temperature: no ada_p: No Discriminator_loss: 0.137768 Generator_loss: 2.84221 
[INFO] 2021-01-15 16:53:02 > Step:   33100 Progress: 33.1% Elapsed: 4:52:51 temperature: no ada_p: No Discriminator_loss: 0.0897891 Generator_loss: 2.96262 
[INFO] 2021-01-15 16:53:51 > Step:   33200 Progress: 33.2% Elapsed: 4:53:40 temperature: no ada_p: No Discriminator_loss: 0.143765 Generator_loss: 3.4695 
[INFO] 2021-01-15 16:54:40 > Step:   33300 Progress: 33.3% Elapsed: 4:54:29 temperature: no ada_p: No Discriminator_loss: 0.319024 Generator_loss: 3.2343 
[INFO] 2021-01-15 16:55:29 > Step:   33400 Progress: 33.4% Elapsed: 4:55:18 temperature: no ada_p: No Discriminator_loss: 0.384471 Generator_loss: 2.49967 
[INFO] 2021-01-15 16:56:18 > Step:   33500 Progress: 33.5% Elapsed: 4:56:07 temperature: no ada_p: No Discriminator_loss: 0.25251 Generator_loss: 3.5134 
[INFO] 2021-01-15 16:57:08 > Step:   33600 Progress: 33.6% Elapsed: 4:56:57 temperature: no ada_p: No Discriminator_loss: 0.211051 Generator_loss: 2.91486 
[INFO] 2021-01-15 16:57:57 > Step:   33700 Progress: 33.7% Elapsed: 4:57:46 temperature: no ada_p: No Discriminator_loss: 0.203539 Generator_loss: 2.72037 
[INFO] 2021-01-15 16:58:46 > Step:   33800 Progress: 33.8% Elapsed: 4:58:35 temperature: no ada_p: No Discriminator_loss: 0.202798 Generator_loss: 3.16538 
[INFO] 2021-01-15 16:59:35 > Step:   33900 Progress: 33.9% Elapsed: 4:59:24 temperature: no ada_p: No Discriminator_loss: 0.155934 Generator_loss: 2.66355 
[INFO] 2021-01-15 17:00:25 > Step:   34000 Progress: 34.0% Elapsed: 5:00:13 temperature: no ada_p: No Discriminator_loss: 0.691315 Generator_loss: 4.23511 
[INFO] 2021-01-15 17:00:25 > Start Evaluation (34000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 17:00:25 > Calculating FID Score....
[INFO] 2021-01-15 17:00:45 > Calculating Inception Score....
[INFO] 2021-01-15 17:00:58 > Calculate F_beta Score....
[INFO] 2021-01-15 17:01:37 > Calculate Accuracies....
[INFO] 2021-01-15 17:01:43 > Calculate Accuracies....
[INFO] 2021-01-15 17:01:44 > F_8 score (Step: 34000, Using valid images): 0.4214748574188746
[INFO] 2021-01-15 17:01:44 > F_1/8 score (Step: 34000, Using valid images): 0.2337361620883327
[INFO] 2021-01-15 17:01:44 > FID score (Step: 34000, Using valid moments): 147.6523653464609
[INFO] 2021-01-15 17:01:44 > Inception score (Step: 34000, 10000 generated images): 5.671669006347656
[INFO] 2021-01-15 17:01:44 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 17:01:45 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 17:02:34 > Step:   34100 Progress: 34.1% Elapsed: 5:02:23 temperature: no ada_p: No Discriminator_loss: 0.409033 Generator_loss: 3.66086 
[INFO] 2021-01-15 17:03:23 > Step:   34200 Progress: 34.2% Elapsed: 5:03:12 temperature: no ada_p: No Discriminator_loss: 0.767616 Generator_loss: 3.56196 
[INFO] 2021-01-15 17:04:12 > Step:   34300 Progress: 34.3% Elapsed: 5:04:01 temperature: no ada_p: No Discriminator_loss: 0.865411 Generator_loss: 6.47178 
[INFO] 2021-01-15 17:05:02 > Step:   34400 Progress: 34.4% Elapsed: 5:04:51 temperature: no ada_p: No Discriminator_loss: 0.257629 Generator_loss: 2.80859 
[INFO] 2021-01-15 17:05:51 > Step:   34500 Progress: 34.5% Elapsed: 5:05:40 temperature: no ada_p: No Discriminator_loss: 0.198777 Generator_loss: 3.66656 
[INFO] 2021-01-15 17:06:40 > Step:   34600 Progress: 34.6% Elapsed: 5:06:29 temperature: no ada_p: No Discriminator_loss: 0.474158 Generator_loss: 5.08095 
[INFO] 2021-01-15 17:07:29 > Step:   34700 Progress: 34.7% Elapsed: 5:07:18 temperature: no ada_p: No Discriminator_loss: 1.83645 Generator_loss: 3.01459 
[INFO] 2021-01-15 17:08:18 > Step:   34800 Progress: 34.8% Elapsed: 5:08:07 temperature: no ada_p: No Discriminator_loss: 0.203155 Generator_loss: 2.72306 
[INFO] 2021-01-15 17:09:07 > Step:   34900 Progress: 34.9% Elapsed: 5:08:56 temperature: no ada_p: No Discriminator_loss: 0.19431 Generator_loss: 5.16735 
[INFO] 2021-01-15 17:09:56 > Step:   35000 Progress: 35.0% Elapsed: 5:09:45 temperature: no ada_p: No Discriminator_loss: 0.275137 Generator_loss: 2.29542 
[INFO] 2021-01-15 17:10:45 > Step:   35100 Progress: 35.1% Elapsed: 5:10:34 temperature: no ada_p: No Discriminator_loss: 0.173035 Generator_loss: 2.09398 
[INFO] 2021-01-15 17:11:35 > Step:   35200 Progress: 35.2% Elapsed: 5:11:24 temperature: no ada_p: No Discriminator_loss: 0.273544 Generator_loss: 3.84772 
[INFO] 2021-01-15 17:12:24 > Step:   35300 Progress: 35.3% Elapsed: 5:12:13 temperature: no ada_p: No Discriminator_loss: 0.153015 Generator_loss: 2.73173 
[INFO] 2021-01-15 17:13:13 > Step:   35400 Progress: 35.4% Elapsed: 5:13:02 temperature: no ada_p: No Discriminator_loss: 0.154108 Generator_loss: 2.314 
[INFO] 2021-01-15 17:14:03 > Step:   35500 Progress: 35.5% Elapsed: 5:13:52 temperature: no ada_p: No Discriminator_loss: 0.191494 Generator_loss: 3.97526 
[INFO] 2021-01-15 17:14:52 > Step:   35600 Progress: 35.6% Elapsed: 5:14:40 temperature: no ada_p: No Discriminator_loss: 0.145324 Generator_loss: 2.46229 
[INFO] 2021-01-15 17:15:41 > Step:   35700 Progress: 35.7% Elapsed: 5:15:29 temperature: no ada_p: No Discriminator_loss: 0.104952 Generator_loss: 3.01612 
[INFO] 2021-01-15 17:16:30 > Step:   35800 Progress: 35.8% Elapsed: 5:16:18 temperature: no ada_p: No Discriminator_loss: 0.214105 Generator_loss: 3.60687 
[INFO] 2021-01-15 17:17:19 > Step:   35900 Progress: 35.9% Elapsed: 5:17:08 temperature: no ada_p: No Discriminator_loss: 6.09119 Generator_loss: 2.40742 
[INFO] 2021-01-15 17:18:08 > Step:   36000 Progress: 36.0% Elapsed: 5:17:57 temperature: no ada_p: No Discriminator_loss: 0.133253 Generator_loss: 2.12888 
[INFO] 2021-01-15 17:18:08 > Start Evaluation (36000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 17:18:08 > Calculating FID Score....
[INFO] 2021-01-15 17:18:29 > Calculating Inception Score....
[INFO] 2021-01-15 17:18:42 > Calculate F_beta Score....
[INFO] 2021-01-15 17:19:20 > Calculate Accuracies....
[INFO] 2021-01-15 17:19:25 > Calculate Accuracies....
[INFO] 2021-01-15 17:19:27 > F_8 score (Step: 36000, Using valid images): 0.4189626922142929
[INFO] 2021-01-15 17:19:27 > F_1/8 score (Step: 36000, Using valid images): 0.1979833180687686
[INFO] 2021-01-15 17:19:27 > FID score (Step: 36000, Using valid moments): 153.40736916364745
[INFO] 2021-01-15 17:19:27 > Inception score (Step: 36000, 10000 generated images): 4.363942623138428
[INFO] 2021-01-15 17:19:27 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 17:19:28 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 17:20:17 > Step:   36100 Progress: 36.1% Elapsed: 5:20:06 temperature: no ada_p: No Discriminator_loss: 0.160497 Generator_loss: 1.99753 
[INFO] 2021-01-15 17:21:06 > Step:   36200 Progress: 36.2% Elapsed: 5:20:55 temperature: no ada_p: No Discriminator_loss: 0.203842 Generator_loss: 1.99296 
[INFO] 2021-01-15 17:21:56 > Step:   36300 Progress: 36.3% Elapsed: 5:21:45 temperature: no ada_p: No Discriminator_loss: 0.157857 Generator_loss: 3.42863 
[INFO] 2021-01-15 17:22:45 > Step:   36400 Progress: 36.4% Elapsed: 5:22:34 temperature: no ada_p: No Discriminator_loss: 0.163217 Generator_loss: 2.22965 
[INFO] 2021-01-15 17:23:34 > Step:   36500 Progress: 36.5% Elapsed: 5:23:23 temperature: no ada_p: No Discriminator_loss: 0.128403 Generator_loss: 3.30827 
[INFO] 2021-01-15 17:24:23 > Step:   36600 Progress: 36.6% Elapsed: 5:24:12 temperature: no ada_p: No Discriminator_loss: 0.154936 Generator_loss: 2.82998 
[INFO] 2021-01-15 17:25:12 > Step:   36700 Progress: 36.7% Elapsed: 5:25:01 temperature: no ada_p: No Discriminator_loss: 0.214418 Generator_loss: 2.10802 
[INFO] 2021-01-15 17:26:01 > Step:   36800 Progress: 36.8% Elapsed: 5:25:50 temperature: no ada_p: No Discriminator_loss: 0.19026 Generator_loss: 2.4202 
[INFO] 2021-01-15 17:26:50 > Step:   36900 Progress: 36.9% Elapsed: 5:26:39 temperature: no ada_p: No Discriminator_loss: 0.129715 Generator_loss: 2.68342 
[INFO] 2021-01-15 17:27:39 > Step:   37000 Progress: 37.0% Elapsed: 5:27:28 temperature: no ada_p: No Discriminator_loss: 0.205688 Generator_loss: 3.0347 
[INFO] 2021-01-15 17:28:29 > Step:   37100 Progress: 37.1% Elapsed: 5:28:18 temperature: no ada_p: No Discriminator_loss: 0.117256 Generator_loss: 2.82137 
[INFO] 2021-01-15 17:29:18 > Step:   37200 Progress: 37.2% Elapsed: 5:29:07 temperature: no ada_p: No Discriminator_loss: 0.323618 Generator_loss: 4.33156 
[INFO] 2021-01-15 17:30:07 > Step:   37300 Progress: 37.3% Elapsed: 5:29:56 temperature: no ada_p: No Discriminator_loss: 0.118647 Generator_loss: 2.5809 
[INFO] 2021-01-15 17:30:56 > Step:   37400 Progress: 37.4% Elapsed: 5:30:45 temperature: no ada_p: No Discriminator_loss: 0.276725 Generator_loss: 4.20578 
[INFO] 2021-01-15 17:31:45 > Step:   37500 Progress: 37.5% Elapsed: 5:31:34 temperature: no ada_p: No Discriminator_loss: 0.203168 Generator_loss: 2.68223 
[INFO] 2021-01-15 17:32:34 > Step:   37600 Progress: 37.6% Elapsed: 5:32:23 temperature: no ada_p: No Discriminator_loss: 4.54885 Generator_loss: 7.08202 
[INFO] 2021-01-15 17:33:23 > Step:   37700 Progress: 37.7% Elapsed: 5:33:12 temperature: no ada_p: No Discriminator_loss: 0.160405 Generator_loss: 2.18773 
[INFO] 2021-01-15 17:34:12 > Step:   37800 Progress: 37.8% Elapsed: 5:34:01 temperature: no ada_p: No Discriminator_loss: 0.167966 Generator_loss: 3.33645 
[INFO] 2021-01-15 17:35:02 > Step:   37900 Progress: 37.9% Elapsed: 5:34:51 temperature: no ada_p: No Discriminator_loss: 0.319288 Generator_loss: 2.12394 
[INFO] 2021-01-15 17:35:51 > Step:   38000 Progress: 38.0% Elapsed: 5:35:40 temperature: no ada_p: No Discriminator_loss: 2.03326 Generator_loss: 5.13313 
[INFO] 2021-01-15 17:35:51 > Start Evaluation (38000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 17:35:51 > Calculating FID Score....
[INFO] 2021-01-15 17:36:11 > Calculating Inception Score....
[INFO] 2021-01-15 17:36:24 > Calculate F_beta Score....
[INFO] 2021-01-15 17:37:02 > Calculate Accuracies....
[INFO] 2021-01-15 17:37:07 > Calculate Accuracies....
[INFO] 2021-01-15 17:37:09 > F_8 score (Step: 38000, Using valid images): 0.45596507398184083
[INFO] 2021-01-15 17:37:09 > F_1/8 score (Step: 38000, Using valid images): 0.3069994567027356
[INFO] 2021-01-15 17:37:09 > FID score (Step: 38000, Using valid moments): 140.22915945536784
[INFO] 2021-01-15 17:37:09 > Inception score (Step: 38000, 10000 generated images): 5.376585006713867
[INFO] 2021-01-15 17:37:09 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 17:37:10 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 17:37:59 > Step:   38100 Progress: 38.1% Elapsed: 5:37:48 temperature: no ada_p: No Discriminator_loss: 0.246263 Generator_loss: 2.56396 
[INFO] 2021-01-15 17:38:48 > Step:   38200 Progress: 38.2% Elapsed: 5:38:37 temperature: no ada_p: No Discriminator_loss: 0.228306 Generator_loss: 2.50807 
[INFO] 2021-01-15 17:39:37 > Step:   38300 Progress: 38.3% Elapsed: 5:39:26 temperature: no ada_p: No Discriminator_loss: 0.206082 Generator_loss: 1.77827 
[INFO] 2021-01-15 17:40:26 > Step:   38400 Progress: 38.4% Elapsed: 5:40:15 temperature: no ada_p: No Discriminator_loss: 2.93197 Generator_loss: 6.10981 
[INFO] 2021-01-15 17:41:15 > Step:   38500 Progress: 38.5% Elapsed: 5:41:04 temperature: no ada_p: No Discriminator_loss: 0.194576 Generator_loss: 3.19578 
[INFO] 2021-01-15 17:42:04 > Step:   38600 Progress: 38.6% Elapsed: 5:41:53 temperature: no ada_p: No Discriminator_loss: 0.143538 Generator_loss: 1.94675 
[INFO] 2021-01-15 17:42:54 > Step:   38700 Progress: 38.7% Elapsed: 5:42:43 temperature: no ada_p: No Discriminator_loss: 0.266683 Generator_loss: 3.36944 
[INFO] 2021-01-15 17:43:43 > Step:   38800 Progress: 38.8% Elapsed: 5:43:32 temperature: no ada_p: No Discriminator_loss: 0.203581 Generator_loss: 2.65697 
[INFO] 2021-01-15 17:44:32 > Step:   38900 Progress: 38.9% Elapsed: 5:44:21 temperature: no ada_p: No Discriminator_loss: 0.19056 Generator_loss: 4.08459 
[INFO] 2021-01-15 17:45:21 > Step:   39000 Progress: 39.0% Elapsed: 5:45:10 temperature: no ada_p: No Discriminator_loss: 0.240668 Generator_loss: 2.73385 
[INFO] 2021-01-15 17:46:11 > Step:   39100 Progress: 39.1% Elapsed: 5:46:00 temperature: no ada_p: No Discriminator_loss: 0.355804 Generator_loss: 3.58733 
[INFO] 2021-01-15 17:47:00 > Step:   39200 Progress: 39.2% Elapsed: 5:46:48 temperature: no ada_p: No Discriminator_loss: 0.200959 Generator_loss: 3.57572 
[INFO] 2021-01-15 17:47:49 > Step:   39300 Progress: 39.3% Elapsed: 5:47:37 temperature: no ada_p: No Discriminator_loss: 0.136506 Generator_loss: 2.7018 
[INFO] 2021-01-15 17:48:38 > Step:   39400 Progress: 39.4% Elapsed: 5:48:27 temperature: no ada_p: No Discriminator_loss: 0.167283 Generator_loss: 2.22816 
[INFO] 2021-01-15 17:49:27 > Step:   39500 Progress: 39.5% Elapsed: 5:49:16 temperature: no ada_p: No Discriminator_loss: 0.422608 Generator_loss: 3.2382 
[INFO] 2021-01-15 17:50:16 > Step:   39600 Progress: 39.6% Elapsed: 5:50:05 temperature: no ada_p: No Discriminator_loss: 0.214638 Generator_loss: 3.0346 
[INFO] 2021-01-15 17:51:05 > Step:   39700 Progress: 39.7% Elapsed: 5:50:54 temperature: no ada_p: No Discriminator_loss: 0.267497 Generator_loss: 2.46299 
[INFO] 2021-01-15 17:51:55 > Step:   39800 Progress: 39.8% Elapsed: 5:51:44 temperature: no ada_p: No Discriminator_loss: 0.143057 Generator_loss: 3.0437 
[INFO] 2021-01-15 17:52:44 > Step:   39900 Progress: 39.9% Elapsed: 5:52:33 temperature: no ada_p: No Discriminator_loss: 0.223902 Generator_loss: 3.62586 
[INFO] 2021-01-15 17:53:33 > Step:   40000 Progress: 40.0% Elapsed: 5:53:22 temperature: no ada_p: No Discriminator_loss: 3.68092 Generator_loss: 2.49289 
[INFO] 2021-01-15 17:53:33 > Start Evaluation (40000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 17:53:33 > Calculating FID Score....
[INFO] 2021-01-15 17:53:54 > Calculating Inception Score....
[INFO] 2021-01-15 17:54:06 > Calculate F_beta Score....
[INFO] 2021-01-15 17:54:45 > Calculate Accuracies....
[INFO] 2021-01-15 17:54:50 > Calculate Accuracies....
[INFO] 2021-01-15 17:54:52 > F_8 score (Step: 40000, Using valid images): 0.3925139001152382
[INFO] 2021-01-15 17:54:52 > F_1/8 score (Step: 40000, Using valid images): 0.16396217823956244
[INFO] 2021-01-15 17:54:52 > FID score (Step: 40000, Using valid moments): 168.31819923654183
[INFO] 2021-01-15 17:54:52 > Inception score (Step: 40000, 10000 generated images): 4.548291206359863
[INFO] 2021-01-15 17:54:52 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 17:54:53 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 17:55:42 > Step:   40100 Progress: 40.1% Elapsed: 5:55:31 temperature: no ada_p: No Discriminator_loss: 0.175505 Generator_loss: 2.90833 
[INFO] 2021-01-15 17:56:32 > Step:   40200 Progress: 40.2% Elapsed: 5:56:20 temperature: no ada_p: No Discriminator_loss: 0.0868031 Generator_loss: 3.12965 
[INFO] 2021-01-15 17:57:21 > Step:   40300 Progress: 40.3% Elapsed: 5:57:09 temperature: no ada_p: No Discriminator_loss: 0.107329 Generator_loss: 2.95531 
[INFO] 2021-01-15 17:58:10 > Step:   40400 Progress: 40.4% Elapsed: 5:57:58 temperature: no ada_p: No Discriminator_loss: 0.154803 Generator_loss: 1.52852 
[INFO] 2021-01-15 17:58:59 > Step:   40500 Progress: 40.5% Elapsed: 5:58:47 temperature: no ada_p: No Discriminator_loss: 0.334719 Generator_loss: 3.22513 
[INFO] 2021-01-15 17:59:48 > Step:   40600 Progress: 40.6% Elapsed: 5:59:37 temperature: no ada_p: No Discriminator_loss: 0.19817 Generator_loss: 3.7868 
[INFO] 2021-01-15 18:00:37 > Step:   40700 Progress: 40.7% Elapsed: 6:00:26 temperature: no ada_p: No Discriminator_loss: 7.60449 Generator_loss: 3.0555 
[INFO] 2021-01-15 18:01:26 > Step:   40800 Progress: 40.8% Elapsed: 6:01:15 temperature: no ada_p: No Discriminator_loss: 0.0945544 Generator_loss: 2.57754 
[INFO] 2021-01-15 18:02:15 > Step:   40900 Progress: 40.9% Elapsed: 6:02:04 temperature: no ada_p: No Discriminator_loss: 0.406619 Generator_loss: 2.80686 
[INFO] 2021-01-15 18:03:05 > Step:   41000 Progress: 41.0% Elapsed: 6:02:54 temperature: no ada_p: No Discriminator_loss: 0.113881 Generator_loss: 3.01824 
[INFO] 2021-01-15 18:03:54 > Step:   41100 Progress: 41.1% Elapsed: 6:03:42 temperature: no ada_p: No Discriminator_loss: 0.278657 Generator_loss: 3.27433 
[INFO] 2021-01-15 18:04:43 > Step:   41200 Progress: 41.2% Elapsed: 6:04:31 temperature: no ada_p: No Discriminator_loss: 0.243034 Generator_loss: 1.97488 
[INFO] 2021-01-15 18:05:32 > Step:   41300 Progress: 41.3% Elapsed: 6:05:20 temperature: no ada_p: No Discriminator_loss: 0.164495 Generator_loss: 2.39557 
[INFO] 2021-01-15 18:06:21 > Step:   41400 Progress: 41.4% Elapsed: 6:06:10 temperature: no ada_p: No Discriminator_loss: 0.0971685 Generator_loss: 2.88545 
[INFO] 2021-01-15 18:07:10 > Step:   41500 Progress: 41.5% Elapsed: 6:06:59 temperature: no ada_p: No Discriminator_loss: 0.218928 Generator_loss: 4.18717 
[INFO] 2021-01-15 18:07:59 > Step:   41600 Progress: 41.6% Elapsed: 6:07:48 temperature: no ada_p: No Discriminator_loss: 0.13987 Generator_loss: 2.13395 
[INFO] 2021-01-15 18:08:48 > Step:   41700 Progress: 41.7% Elapsed: 6:08:37 temperature: no ada_p: No Discriminator_loss: 0.0956787 Generator_loss: 3.45479 
[INFO] 2021-01-15 18:09:38 > Step:   41800 Progress: 41.8% Elapsed: 6:09:27 temperature: no ada_p: No Discriminator_loss: 0.265863 Generator_loss: 3.77345 
[INFO] 2021-01-15 18:10:27 > Step:   41900 Progress: 41.9% Elapsed: 6:10:16 temperature: no ada_p: No Discriminator_loss: 0.0856074 Generator_loss: 3.90141 
[INFO] 2021-01-15 18:11:16 > Step:   42000 Progress: 42.0% Elapsed: 6:11:05 temperature: no ada_p: No Discriminator_loss: 0.107831 Generator_loss: 2.37041 
[INFO] 2021-01-15 18:11:16 > Start Evaluation (42000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 18:11:16 > Calculating FID Score....
[INFO] 2021-01-15 18:11:36 > Calculating Inception Score....
[INFO] 2021-01-15 18:11:49 > Calculate F_beta Score....
[INFO] 2021-01-15 18:12:26 > Calculate Accuracies....
[INFO] 2021-01-15 18:12:31 > Calculate Accuracies....
[INFO] 2021-01-15 18:12:33 > F_8 score (Step: 42000, Using valid images): 0.37826823738460663
[INFO] 2021-01-15 18:12:33 > F_1/8 score (Step: 42000, Using valid images): 0.19349741488282812
[INFO] 2021-01-15 18:12:33 > FID score (Step: 42000, Using valid moments): 168.43327178872596
[INFO] 2021-01-15 18:12:33 > Inception score (Step: 42000, 10000 generated images): 5.595159530639648
[INFO] 2021-01-15 18:12:33 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 18:12:34 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 18:13:23 > Step:   42100 Progress: 42.1% Elapsed: 6:13:12 temperature: no ada_p: No Discriminator_loss: 0.150409 Generator_loss: 2.42532 
[INFO] 2021-01-15 18:14:13 > Step:   42200 Progress: 42.2% Elapsed: 6:14:01 temperature: no ada_p: No Discriminator_loss: 0.164876 Generator_loss: 2.80031 
[INFO] 2021-01-15 18:15:01 > Step:   42300 Progress: 42.3% Elapsed: 6:14:50 temperature: no ada_p: No Discriminator_loss: 0.117971 Generator_loss: 3.09659 
[INFO] 2021-01-15 18:15:50 > Step:   42400 Progress: 42.4% Elapsed: 6:15:39 temperature: no ada_p: No Discriminator_loss: 0.40109 Generator_loss: 4.64248 
[INFO] 2021-01-15 18:16:39 > Step:   42500 Progress: 42.5% Elapsed: 6:16:28 temperature: no ada_p: No Discriminator_loss: 0.218481 Generator_loss: 2.57221 
[INFO] 2021-01-15 18:17:29 > Step:   42600 Progress: 42.6% Elapsed: 6:17:18 temperature: no ada_p: No Discriminator_loss: 0.100729 Generator_loss: 3.10511 
[INFO] 2021-01-15 18:18:18 > Step:   42700 Progress: 42.7% Elapsed: 6:18:07 temperature: no ada_p: No Discriminator_loss: 0.0879978 Generator_loss: 2.94496 
[INFO] 2021-01-15 18:19:07 > Step:   42800 Progress: 42.8% Elapsed: 6:18:56 temperature: no ada_p: No Discriminator_loss: 0.0626292 Generator_loss: 2.70131 
[INFO] 2021-01-15 18:19:56 > Step:   42900 Progress: 42.9% Elapsed: 6:19:45 temperature: no ada_p: No Discriminator_loss: 0.120045 Generator_loss: 2.81158 
[INFO] 2021-01-15 18:20:46 > Step:   43000 Progress: 43.0% Elapsed: 6:20:35 temperature: no ada_p: No Discriminator_loss: 0.119791 Generator_loss: 3.39817 
[INFO] 2021-01-15 18:21:35 > Step:   43100 Progress: 43.1% Elapsed: 6:21:24 temperature: no ada_p: No Discriminator_loss: 0.159667 Generator_loss: 3.18464 
[INFO] 2021-01-15 18:22:24 > Step:   43200 Progress: 43.2% Elapsed: 6:22:13 temperature: no ada_p: No Discriminator_loss: 0.150202 Generator_loss: 3.17448 
[INFO] 2021-01-15 18:23:13 > Step:   43300 Progress: 43.3% Elapsed: 6:23:02 temperature: no ada_p: No Discriminator_loss: 0.378249 Generator_loss: 4.0242 
[INFO] 2021-01-15 18:24:02 > Step:   43400 Progress: 43.4% Elapsed: 6:23:51 temperature: no ada_p: No Discriminator_loss: 0.132474 Generator_loss: 3.12508 
[INFO] 2021-01-15 18:24:51 > Step:   43500 Progress: 43.5% Elapsed: 6:24:40 temperature: no ada_p: No Discriminator_loss: 0.0893942 Generator_loss: 2.75204 
[INFO] 2021-01-15 18:25:40 > Step:   43600 Progress: 43.6% Elapsed: 6:25:29 temperature: no ada_p: No Discriminator_loss: 0.15224 Generator_loss: 2.91546 
[INFO] 2021-01-15 18:26:30 > Step:   43700 Progress: 43.7% Elapsed: 6:26:19 temperature: no ada_p: No Discriminator_loss: 0.162313 Generator_loss: 3.62093 
[INFO] 2021-01-15 18:27:19 > Step:   43800 Progress: 43.8% Elapsed: 6:27:08 temperature: no ada_p: No Discriminator_loss: 0.111244 Generator_loss: 3.30988 
[INFO] 2021-01-15 18:28:08 > Step:   43900 Progress: 43.9% Elapsed: 6:27:57 temperature: no ada_p: No Discriminator_loss: 0.153383 Generator_loss: 2.80727 
[INFO] 2021-01-15 18:28:57 > Step:   44000 Progress: 44.0% Elapsed: 6:28:46 temperature: no ada_p: No Discriminator_loss: 0.198305 Generator_loss: 2.66057 
[INFO] 2021-01-15 18:28:57 > Start Evaluation (44000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 18:28:57 > Calculating FID Score....
[INFO] 2021-01-15 18:29:17 > Calculating Inception Score....
[INFO] 2021-01-15 18:29:30 > Calculate F_beta Score....
[INFO] 2021-01-15 18:30:07 > Calculate Accuracies....
[INFO] 2021-01-15 18:30:13 > Calculate Accuracies....
[INFO] 2021-01-15 18:30:14 > F_8 score (Step: 44000, Using valid images): 0.04956574033441418
[INFO] 2021-01-15 18:30:14 > F_1/8 score (Step: 44000, Using valid images): 0.04882352791308742
[INFO] 2021-01-15 18:30:14 > FID score (Step: 44000, Using valid moments): 271.6512707678544
[INFO] 2021-01-15 18:30:14 > Inception score (Step: 44000, 10000 generated images): 1.720046877861023
[INFO] 2021-01-15 18:30:14 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 18:30:15 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 18:31:05 > Step:   44100 Progress: 44.1% Elapsed: 6:30:54 temperature: no ada_p: No Discriminator_loss: 0.0933885 Generator_loss: 2.56152 
[INFO] 2021-01-15 18:31:54 > Step:   44200 Progress: 44.2% Elapsed: 6:31:43 temperature: no ada_p: No Discriminator_loss: 0.125493 Generator_loss: 2.83892 
[INFO] 2021-01-15 18:32:43 > Step:   44300 Progress: 44.3% Elapsed: 6:32:32 temperature: no ada_p: No Discriminator_loss: 0.171768 Generator_loss: 3.41378 
[INFO] 2021-01-15 18:33:32 > Step:   44400 Progress: 44.4% Elapsed: 6:33:20 temperature: no ada_p: No Discriminator_loss: 0.130062 Generator_loss: 2.58915 
[INFO] 2021-01-15 18:34:21 > Step:   44500 Progress: 44.5% Elapsed: 6:34:10 temperature: no ada_p: No Discriminator_loss: 0.118447 Generator_loss: 3.02486 
[INFO] 2021-01-15 18:35:10 > Step:   44600 Progress: 44.6% Elapsed: 6:34:59 temperature: no ada_p: No Discriminator_loss: 0.204645 Generator_loss: 3.0621 
[INFO] 2021-01-15 18:35:59 > Step:   44700 Progress: 44.7% Elapsed: 6:35:48 temperature: no ada_p: No Discriminator_loss: 0.158018 Generator_loss: 2.78775 
[INFO] 2021-01-15 18:36:48 > Step:   44800 Progress: 44.8% Elapsed: 6:36:37 temperature: no ada_p: No Discriminator_loss: 0.147672 Generator_loss: 2.87868 
[INFO] 2021-01-15 18:37:38 > Step:   44900 Progress: 44.9% Elapsed: 6:37:27 temperature: no ada_p: No Discriminator_loss: 0.12107 Generator_loss: 2.93054 
[INFO] 2021-01-15 18:38:27 > Step:   45000 Progress: 45.0% Elapsed: 6:38:16 temperature: no ada_p: No Discriminator_loss: 0.133485 Generator_loss: 3.56788 
[INFO] 2021-01-15 18:39:16 > Step:   45100 Progress: 45.1% Elapsed: 6:39:05 temperature: no ada_p: No Discriminator_loss: 0.164203 Generator_loss: 2.70582 
[INFO] 2021-01-15 18:40:05 > Step:   45200 Progress: 45.2% Elapsed: 6:39:54 temperature: no ada_p: No Discriminator_loss: 0.224836 Generator_loss: 3.11506 
[INFO] 2021-01-15 18:40:54 > Step:   45300 Progress: 45.3% Elapsed: 6:40:43 temperature: no ada_p: No Discriminator_loss: 0.0643402 Generator_loss: 3.40405 
[INFO] 2021-01-15 18:41:43 > Step:   45400 Progress: 45.4% Elapsed: 6:41:32 temperature: no ada_p: No Discriminator_loss: 0.195478 Generator_loss: 2.35397 
[INFO] 2021-01-15 18:42:32 > Step:   45500 Progress: 45.5% Elapsed: 6:42:21 temperature: no ada_p: No Discriminator_loss: 0.0910462 Generator_loss: 2.75796 
[INFO] 2021-01-15 18:43:21 > Step:   45600 Progress: 45.6% Elapsed: 6:43:10 temperature: no ada_p: No Discriminator_loss: 0.140918 Generator_loss: 3.17082 
[INFO] 2021-01-15 18:44:11 > Step:   45700 Progress: 45.7% Elapsed: 6:44:00 temperature: no ada_p: No Discriminator_loss: 1.64659 Generator_loss: 5.61849 
[INFO] 2021-01-15 18:45:00 > Step:   45800 Progress: 45.8% Elapsed: 6:44:49 temperature: no ada_p: No Discriminator_loss: 0.072334 Generator_loss: 3.67904 
[INFO] 2021-01-15 18:45:49 > Step:   45900 Progress: 45.9% Elapsed: 6:45:38 temperature: no ada_p: No Discriminator_loss: 0.131589 Generator_loss: 2.71567 
[INFO] 2021-01-15 18:46:38 > Step:   46000 Progress: 46.0% Elapsed: 6:46:27 temperature: no ada_p: No Discriminator_loss: 0.134403 Generator_loss: 2.82235 
[INFO] 2021-01-15 18:46:38 > Start Evaluation (46000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 18:46:38 > Calculating FID Score....
[INFO] 2021-01-15 18:46:58 > Calculating Inception Score....
[INFO] 2021-01-15 18:47:11 > Calculate F_beta Score....
[INFO] 2021-01-15 18:47:48 > Calculate Accuracies....
[INFO] 2021-01-15 18:47:53 > Calculate Accuracies....
[INFO] 2021-01-15 18:47:55 > F_8 score (Step: 46000, Using valid images): 0.08748205273803578
[INFO] 2021-01-15 18:47:55 > F_1/8 score (Step: 46000, Using valid images): 0.003855110048577965
[INFO] 2021-01-15 18:47:55 > FID score (Step: 46000, Using valid moments): 340.2922208648082
[INFO] 2021-01-15 18:47:55 > Inception score (Step: 46000, 10000 generated images): 1.2350064516067505
[INFO] 2021-01-15 18:47:55 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 18:47:56 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 18:48:46 > Step:   46100 Progress: 46.1% Elapsed: 6:48:34 temperature: no ada_p: No Discriminator_loss: 0.076745 Generator_loss: 3.11783 
[INFO] 2021-01-15 18:49:35 > Step:   46200 Progress: 46.2% Elapsed: 6:49:23 temperature: no ada_p: No Discriminator_loss: 0.129606 Generator_loss: 2.33726 
[INFO] 2021-01-15 18:50:23 > Step:   46300 Progress: 46.3% Elapsed: 6:50:12 temperature: no ada_p: No Discriminator_loss: 0.200307 Generator_loss: 3.06187 
[INFO] 2021-01-15 18:51:12 > Step:   46400 Progress: 46.4% Elapsed: 6:51:01 temperature: no ada_p: No Discriminator_loss: 0.133468 Generator_loss: 4.38884 
[INFO] 2021-01-15 18:52:02 > Step:   46500 Progress: 46.5% Elapsed: 6:51:51 temperature: no ada_p: No Discriminator_loss: 0.109081 Generator_loss: 3.30942 
[INFO] 2021-01-15 18:52:51 > Step:   46600 Progress: 46.6% Elapsed: 6:52:40 temperature: no ada_p: No Discriminator_loss: 0.166845 Generator_loss: 4.47581 
[INFO] 2021-01-15 18:53:40 > Step:   46700 Progress: 46.7% Elapsed: 6:53:29 temperature: no ada_p: No Discriminator_loss: 0.131065 Generator_loss: 4.44037 
[INFO] 2021-01-15 18:54:29 > Step:   46800 Progress: 46.8% Elapsed: 6:54:18 temperature: no ada_p: No Discriminator_loss: 0.116034 Generator_loss: 4.13084 
[INFO] 2021-01-15 18:55:19 > Step:   46900 Progress: 46.9% Elapsed: 6:55:08 temperature: no ada_p: No Discriminator_loss: 0.0822612 Generator_loss: 4.20301 
[INFO] 2021-01-15 18:56:08 > Step:   47000 Progress: 47.0% Elapsed: 6:55:57 temperature: no ada_p: No Discriminator_loss: 0.0785679 Generator_loss: 4.17451 
[INFO] 2021-01-15 18:56:57 > Step:   47100 Progress: 47.1% Elapsed: 6:56:46 temperature: no ada_p: No Discriminator_loss: 0.0933067 Generator_loss: 4.03345 
[INFO] 2021-01-15 18:57:46 > Step:   47200 Progress: 47.2% Elapsed: 6:57:35 temperature: no ada_p: No Discriminator_loss: 0.0854806 Generator_loss: 3.07609 
[INFO] 2021-01-15 18:58:35 > Step:   47300 Progress: 47.3% Elapsed: 6:58:24 temperature: no ada_p: No Discriminator_loss: 0.128469 Generator_loss: 2.83982 
[INFO] 2021-01-15 18:59:24 > Step:   47400 Progress: 47.4% Elapsed: 6:59:13 temperature: no ada_p: No Discriminator_loss: 0.0954276 Generator_loss: 3.45244 
[INFO] 2021-01-15 19:00:13 > Step:   47500 Progress: 47.5% Elapsed: 7:00:02 temperature: no ada_p: No Discriminator_loss: 0.179103 Generator_loss: 3.94219 
[INFO] 2021-01-15 19:01:03 > Step:   47600 Progress: 47.6% Elapsed: 7:00:52 temperature: no ada_p: No Discriminator_loss: 0.165607 Generator_loss: 3.68484 
[INFO] 2021-01-15 19:01:52 > Step:   47700 Progress: 47.7% Elapsed: 7:01:41 temperature: no ada_p: No Discriminator_loss: 0.112333 Generator_loss: 4.20778 
[INFO] 2021-01-15 19:02:41 > Step:   47800 Progress: 47.8% Elapsed: 7:02:30 temperature: no ada_p: No Discriminator_loss: 0.199891 Generator_loss: 3.04244 
[INFO] 2021-01-15 19:03:30 > Step:   47900 Progress: 47.9% Elapsed: 7:03:19 temperature: no ada_p: No Discriminator_loss: 0.0599106 Generator_loss: 4.0597 
[INFO] 2021-01-15 19:04:19 > Step:   48000 Progress: 48.0% Elapsed: 7:04:08 temperature: no ada_p: No Discriminator_loss: 0.0759163 Generator_loss: 4.1748 
[INFO] 2021-01-15 19:04:19 > Start Evaluation (48000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 19:04:19 > Calculating FID Score....
[INFO] 2021-01-15 19:04:40 > Calculating Inception Score....
[INFO] 2021-01-15 19:04:53 > Calculate F_beta Score....
[INFO] 2021-01-15 19:05:29 > Calculate Accuracies....
[INFO] 2021-01-15 19:05:35 > Calculate Accuracies....
[INFO] 2021-01-15 19:05:36 > F_8 score (Step: 48000, Using valid images): 0.0
[INFO] 2021-01-15 19:05:36 > F_1/8 score (Step: 48000, Using valid images): 0.0
[INFO] 2021-01-15 19:05:36 > FID score (Step: 48000, Using valid moments): 401.8874631461351
[INFO] 2021-01-15 19:05:36 > Inception score (Step: 48000, 10000 generated images): 1.0963014364242554
[INFO] 2021-01-15 19:05:36 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 19:05:37 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 19:06:26 > Step:   48100 Progress: 48.1% Elapsed: 7:06:15 temperature: no ada_p: No Discriminator_loss: 0.116985 Generator_loss: 3.92518 
[INFO] 2021-01-15 19:07:15 > Step:   48200 Progress: 48.2% Elapsed: 7:07:04 temperature: no ada_p: No Discriminator_loss: 0.057826 Generator_loss: 4.3125 
[INFO] 2021-01-15 19:08:04 > Step:   48300 Progress: 48.3% Elapsed: 7:07:53 temperature: no ada_p: No Discriminator_loss: 0.101156 Generator_loss: 3.40039 
[INFO] 2021-01-15 19:08:54 > Step:   48400 Progress: 48.4% Elapsed: 7:08:43 temperature: no ada_p: No Discriminator_loss: 0.0869225 Generator_loss: 3.42864 
[INFO] 2021-01-15 19:09:43 > Step:   48500 Progress: 48.5% Elapsed: 7:09:32 temperature: no ada_p: No Discriminator_loss: 0.0922866 Generator_loss: 3.92855 
[INFO] 2021-01-15 19:10:32 > Step:   48600 Progress: 48.6% Elapsed: 7:10:21 temperature: no ada_p: No Discriminator_loss: 0.103391 Generator_loss: 5.54648 
[INFO] 2021-01-15 19:11:21 > Step:   48700 Progress: 48.7% Elapsed: 7:11:10 temperature: no ada_p: No Discriminator_loss: 0.129326 Generator_loss: 3.29156 
[INFO] 2021-01-15 19:12:10 > Step:   48800 Progress: 48.8% Elapsed: 7:11:59 temperature: no ada_p: No Discriminator_loss: 0.170825 Generator_loss: 5.6879 
[INFO] 2021-01-15 19:12:59 > Step:   48900 Progress: 48.9% Elapsed: 7:12:48 temperature: no ada_p: No Discriminator_loss: 0.173098 Generator_loss: 4.80545 
[INFO] 2021-01-15 19:13:48 > Step:   49000 Progress: 49.0% Elapsed: 7:13:37 temperature: no ada_p: No Discriminator_loss: 0.102712 Generator_loss: 5.26973 
[INFO] 2021-01-15 19:14:37 > Step:   49100 Progress: 49.1% Elapsed: 7:14:26 temperature: no ada_p: No Discriminator_loss: 0.122376 Generator_loss: 3.47156 
[INFO] 2021-01-15 19:15:27 > Step:   49200 Progress: 49.2% Elapsed: 7:15:16 temperature: no ada_p: No Discriminator_loss: 0.0740721 Generator_loss: 4.67576 
[INFO] 2021-01-15 19:16:16 > Step:   49300 Progress: 49.3% Elapsed: 7:16:05 temperature: no ada_p: No Discriminator_loss: 0.137086 Generator_loss: 5.23449 
[INFO] 2021-01-15 19:17:05 > Step:   49400 Progress: 49.4% Elapsed: 7:16:54 temperature: no ada_p: No Discriminator_loss: 0.13368 Generator_loss: 2.95081 
[INFO] 2021-01-15 19:17:54 > Step:   49500 Progress: 49.5% Elapsed: 7:17:43 temperature: no ada_p: No Discriminator_loss: 0.105889 Generator_loss: 4.09233 
[INFO] 2021-01-15 19:18:44 > Step:   49600 Progress: 49.6% Elapsed: 7:18:32 temperature: no ada_p: No Discriminator_loss: 0.0540512 Generator_loss: 3.73789 
[INFO] 2021-01-15 19:19:32 > Step:   49700 Progress: 49.7% Elapsed: 7:19:21 temperature: no ada_p: No Discriminator_loss: 0.174609 Generator_loss: 4.05047 
[INFO] 2021-01-15 19:20:21 > Step:   49800 Progress: 49.8% Elapsed: 7:20:10 temperature: no ada_p: No Discriminator_loss: 0.423905 Generator_loss: 5.14325 
[INFO] 2021-01-15 19:21:10 > Step:   49900 Progress: 49.9% Elapsed: 7:20:59 temperature: no ada_p: No Discriminator_loss: 0.298663 Generator_loss: 4.9375 
[INFO] 2021-01-15 19:22:00 > Step:   50000 Progress: 50.0% Elapsed: 7:21:49 temperature: no ada_p: No Discriminator_loss: 0.067117 Generator_loss: 5.47212 
[INFO] 2021-01-15 19:22:00 > Start Evaluation (50000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 19:22:00 > Calculating FID Score....
[INFO] 2021-01-15 19:22:20 > Calculating Inception Score....
[INFO] 2021-01-15 19:22:33 > Calculate F_beta Score....
[INFO] 2021-01-15 19:23:10 > Calculate Accuracies....
[INFO] 2021-01-15 19:23:16 > Calculate Accuracies....
[INFO] 2021-01-15 19:23:17 > F_8 score (Step: 50000, Using valid images): 0.0
[INFO] 2021-01-15 19:23:17 > F_1/8 score (Step: 50000, Using valid images): 0.0
[INFO] 2021-01-15 19:23:17 > FID score (Step: 50000, Using valid moments): 387.3921060013266
[INFO] 2021-01-15 19:23:17 > Inception score (Step: 50000, 10000 generated images): 1.107455849647522
[INFO] 2021-01-15 19:23:17 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 19:23:19 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 19:24:07 > Step:   50100 Progress: 50.1% Elapsed: 7:23:56 temperature: no ada_p: No Discriminator_loss: 0.109097 Generator_loss: 4.39492 
[INFO] 2021-01-15 19:24:56 > Step:   50200 Progress: 50.2% Elapsed: 7:24:45 temperature: no ada_p: No Discriminator_loss: 0.123117 Generator_loss: 4.38631 
[INFO] 2021-01-15 19:25:45 > Step:   50300 Progress: 50.3% Elapsed: 7:25:34 temperature: no ada_p: No Discriminator_loss: 0.103492 Generator_loss: 5.61743 
[INFO] 2021-01-15 19:26:35 > Step:   50400 Progress: 50.4% Elapsed: 7:26:24 temperature: no ada_p: No Discriminator_loss: 0.177562 Generator_loss: 8.72298 
[INFO] 2021-01-15 19:27:24 > Step:   50500 Progress: 50.5% Elapsed: 7:27:13 temperature: no ada_p: No Discriminator_loss: 0.155639 Generator_loss: 5.95082 
[INFO] 2021-01-15 19:28:13 > Step:   50600 Progress: 50.6% Elapsed: 7:28:02 temperature: no ada_p: No Discriminator_loss: 0.0854656 Generator_loss: 6.59428 
[INFO] 2021-01-15 19:29:02 > Step:   50700 Progress: 50.7% Elapsed: 7:28:51 temperature: no ada_p: No Discriminator_loss: 0.144906 Generator_loss: 5.23175 
[INFO] 2021-01-15 19:29:52 > Step:   50800 Progress: 50.8% Elapsed: 7:29:41 temperature: no ada_p: No Discriminator_loss: 0.542196 Generator_loss: 7.15331 
[INFO] 2021-01-15 19:30:41 > Step:   50900 Progress: 50.9% Elapsed: 7:30:30 temperature: no ada_p: No Discriminator_loss: 0.0499786 Generator_loss: 6.20576 
[INFO] 2021-01-15 19:31:30 > Step:   51000 Progress: 51.0% Elapsed: 7:31:18 temperature: no ada_p: No Discriminator_loss: 0.130311 Generator_loss: 4.55265 
[INFO] 2021-01-15 19:32:19 > Step:   51100 Progress: 51.1% Elapsed: 7:32:08 temperature: no ada_p: No Discriminator_loss: 0.044544 Generator_loss: 4.68735 
[INFO] 2021-01-15 19:33:08 > Step:   51200 Progress: 51.2% Elapsed: 7:32:57 temperature: no ada_p: No Discriminator_loss: 0.109879 Generator_loss: 6.32644 
[INFO] 2021-01-15 19:33:57 > Step:   51300 Progress: 51.3% Elapsed: 7:33:46 temperature: no ada_p: No Discriminator_loss: 0.0748058 Generator_loss: 6.59776 
[INFO] 2021-01-15 19:34:46 > Step:   51400 Progress: 51.4% Elapsed: 7:34:35 temperature: no ada_p: No Discriminator_loss: 0.0516771 Generator_loss: 5.80098 
[INFO] 2021-01-15 19:35:36 > Step:   51500 Progress: 51.5% Elapsed: 7:35:25 temperature: no ada_p: No Discriminator_loss: 0.0561974 Generator_loss: 5.78746 
[INFO] 2021-01-15 19:36:25 > Step:   51600 Progress: 51.6% Elapsed: 7:36:14 temperature: no ada_p: No Discriminator_loss: 0.0806934 Generator_loss: 5.23188 
[INFO] 2021-01-15 19:37:14 > Step:   51700 Progress: 51.7% Elapsed: 7:37:02 temperature: no ada_p: No Discriminator_loss: 0.115616 Generator_loss: 5.80037 
[INFO] 2021-01-15 19:38:03 > Step:   51800 Progress: 51.8% Elapsed: 7:37:51 temperature: no ada_p: No Discriminator_loss: 0.101368 Generator_loss: 2.66517 
[INFO] 2021-01-15 19:38:52 > Step:   51900 Progress: 51.9% Elapsed: 7:38:41 temperature: no ada_p: No Discriminator_loss: 0.105729 Generator_loss: 4.43827 
[INFO] 2021-01-15 19:39:41 > Step:   52000 Progress: 52.0% Elapsed: 7:39:30 temperature: no ada_p: No Discriminator_loss: 0.252334 Generator_loss: 6.68338 
[INFO] 2021-01-15 19:39:41 > Start Evaluation (52000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 19:39:41 > Calculating FID Score....
[INFO] 2021-01-15 19:40:02 > Calculating Inception Score....
[INFO] 2021-01-15 19:40:15 > Calculate F_beta Score....
[INFO] 2021-01-15 19:40:51 > Calculate Accuracies....
[INFO] 2021-01-15 19:40:57 > Calculate Accuracies....
[INFO] 2021-01-15 19:40:58 > F_8 score (Step: 52000, Using valid images): 0.0
[INFO] 2021-01-15 19:40:58 > F_1/8 score (Step: 52000, Using valid images): 0.0
[INFO] 2021-01-15 19:40:58 > FID score (Step: 52000, Using valid moments): 445.9611441661636
[INFO] 2021-01-15 19:40:58 > Inception score (Step: 52000, 10000 generated images): 1.0794677734375
[INFO] 2021-01-15 19:40:58 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 19:40:59 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 19:41:48 > Step:   52100 Progress: 52.1% Elapsed: 7:41:37 temperature: no ada_p: No Discriminator_loss: 0.225814 Generator_loss: 5.48531 
[INFO] 2021-01-15 19:42:37 > Step:   52200 Progress: 52.2% Elapsed: 7:42:26 temperature: no ada_p: No Discriminator_loss: 0.0874818 Generator_loss: 4.04387 
[INFO] 2021-01-15 19:43:27 > Step:   52300 Progress: 52.3% Elapsed: 7:43:16 temperature: no ada_p: No Discriminator_loss: 0.173772 Generator_loss: 4.5371 
[INFO] 2021-01-15 19:44:16 > Step:   52400 Progress: 52.4% Elapsed: 7:44:05 temperature: no ada_p: No Discriminator_loss: 0.0933268 Generator_loss: 3.32762 
[INFO] 2021-01-15 19:45:05 > Step:   52500 Progress: 52.5% Elapsed: 7:44:54 temperature: no ada_p: No Discriminator_loss: 0.10018 Generator_loss: 4.35635 
[INFO] 2021-01-15 19:45:54 > Step:   52600 Progress: 52.6% Elapsed: 7:45:43 temperature: no ada_p: No Discriminator_loss: 0.122199 Generator_loss: 5.3367 
[INFO] 2021-01-15 19:46:43 > Step:   52700 Progress: 52.7% Elapsed: 7:46:32 temperature: no ada_p: No Discriminator_loss: 0.0711771 Generator_loss: 4.75256 
[INFO] 2021-01-15 19:47:32 > Step:   52800 Progress: 52.8% Elapsed: 7:47:21 temperature: no ada_p: No Discriminator_loss: 0.0714843 Generator_loss: 4.90435 
[INFO] 2021-01-15 19:48:21 > Step:   52900 Progress: 52.9% Elapsed: 7:48:10 temperature: no ada_p: No Discriminator_loss: 0.0592362 Generator_loss: 5.9144 
[INFO] 2021-01-15 19:49:10 > Step:   53000 Progress: 53.0% Elapsed: 7:48:59 temperature: no ada_p: No Discriminator_loss: 0.0658617 Generator_loss: 4.57953 
[INFO] 2021-01-15 19:50:00 > Step:   53100 Progress: 53.1% Elapsed: 7:49:49 temperature: no ada_p: No Discriminator_loss: 0.107928 Generator_loss: 6.51126 
[INFO] 2021-01-15 19:50:49 > Step:   53200 Progress: 53.2% Elapsed: 7:50:38 temperature: no ada_p: No Discriminator_loss: 0.0934802 Generator_loss: 6.66871 
[INFO] 2021-01-15 19:51:38 > Step:   53300 Progress: 53.3% Elapsed: 7:51:27 temperature: no ada_p: No Discriminator_loss: 0.203536 Generator_loss: 6.10216 
[INFO] 2021-01-15 19:52:27 > Step:   53400 Progress: 53.4% Elapsed: 7:52:16 temperature: no ada_p: No Discriminator_loss: 0.0713947 Generator_loss: 4.63745 
[INFO] 2021-01-15 19:53:16 > Step:   53500 Progress: 53.5% Elapsed: 7:53:05 temperature: no ada_p: No Discriminator_loss: 0.196875 Generator_loss: 4.64607 
[INFO] 2021-01-15 19:54:05 > Step:   53600 Progress: 53.6% Elapsed: 7:53:54 temperature: no ada_p: No Discriminator_loss: 0.124564 Generator_loss: 4.09357 
[INFO] 2021-01-15 19:54:54 > Step:   53700 Progress: 53.7% Elapsed: 7:54:43 temperature: no ada_p: No Discriminator_loss: 0.0700676 Generator_loss: 4.57536 
[INFO] 2021-01-15 19:55:43 > Step:   53800 Progress: 53.8% Elapsed: 7:55:32 temperature: no ada_p: No Discriminator_loss: 0.12641 Generator_loss: 5.6546 
[INFO] 2021-01-15 19:56:33 > Step:   53900 Progress: 53.9% Elapsed: 7:56:22 temperature: no ada_p: No Discriminator_loss: 0.181975 Generator_loss: 7.53608 
[INFO] 2021-01-15 19:57:22 > Step:   54000 Progress: 54.0% Elapsed: 7:57:11 temperature: no ada_p: No Discriminator_loss: 0.203111 Generator_loss: 4.99001 
[INFO] 2021-01-15 19:57:22 > Start Evaluation (54000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 19:57:22 > Calculating FID Score....
[INFO] 2021-01-15 19:57:42 > Calculating Inception Score....
[INFO] 2021-01-15 19:57:55 > Calculate F_beta Score....
[INFO] 2021-01-15 19:58:31 > Calculate Accuracies....
[INFO] 2021-01-15 19:58:37 > Calculate Accuracies....
[INFO] 2021-01-15 19:58:39 > F_8 score (Step: 54000, Using valid images): 0.0
[INFO] 2021-01-15 19:58:39 > F_1/8 score (Step: 54000, Using valid images): 0.0
[INFO] 2021-01-15 19:58:39 > FID score (Step: 54000, Using valid moments): 367.0181822204555
[INFO] 2021-01-15 19:58:39 > Inception score (Step: 54000, 10000 generated images): 1.0746413469314575
[INFO] 2021-01-15 19:58:39 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 19:58:40 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 19:59:29 > Step:   54100 Progress: 54.1% Elapsed: 7:59:18 temperature: no ada_p: No Discriminator_loss: 0.0862547 Generator_loss: 5.55175 
[INFO] 2021-01-15 20:00:18 > Step:   54200 Progress: 54.2% Elapsed: 8:00:06 temperature: no ada_p: No Discriminator_loss: 0.202889 Generator_loss: 7.65734 
[INFO] 2021-01-15 20:01:07 > Step:   54300 Progress: 54.3% Elapsed: 8:00:56 temperature: no ada_p: No Discriminator_loss: 0.121615 Generator_loss: 6.29939 
[INFO] 2021-01-15 20:01:56 > Step:   54400 Progress: 54.4% Elapsed: 8:01:45 temperature: no ada_p: No Discriminator_loss: 0.139861 Generator_loss: 5.7984 
[INFO] 2021-01-15 20:02:45 > Step:   54500 Progress: 54.5% Elapsed: 8:02:34 temperature: no ada_p: No Discriminator_loss: 0.210907 Generator_loss: 6.77906 
[INFO] 2021-01-15 20:03:34 > Step:   54600 Progress: 54.6% Elapsed: 8:03:23 temperature: no ada_p: No Discriminator_loss: 0.0949115 Generator_loss: 5.84159 
[INFO] 2021-01-15 20:04:24 > Step:   54700 Progress: 54.7% Elapsed: 8:04:13 temperature: no ada_p: No Discriminator_loss: 0.176189 Generator_loss: 5.5016 
[INFO] 2021-01-15 20:05:13 > Step:   54800 Progress: 54.8% Elapsed: 8:05:02 temperature: no ada_p: No Discriminator_loss: 0.0379145 Generator_loss: 6.13588 
[INFO] 2021-01-15 20:06:02 > Step:   54900 Progress: 54.9% Elapsed: 8:05:51 temperature: no ada_p: No Discriminator_loss: 0.0787884 Generator_loss: 5.59505 
[INFO] 2021-01-15 20:06:52 > Step:   55000 Progress: 55.0% Elapsed: 8:06:40 temperature: no ada_p: No Discriminator_loss: 0.0756826 Generator_loss: 5.63723 
[INFO] 2021-01-15 20:07:41 > Step:   55100 Progress: 55.1% Elapsed: 8:07:29 temperature: no ada_p: No Discriminator_loss: 0.143216 Generator_loss: 5.15788 
[INFO] 2021-01-15 20:08:30 > Step:   55200 Progress: 55.2% Elapsed: 8:08:18 temperature: no ada_p: No Discriminator_loss: 0.138118 Generator_loss: 5.80755 
[INFO] 2021-01-15 20:09:19 > Step:   55300 Progress: 55.3% Elapsed: 8:09:07 temperature: no ada_p: No Discriminator_loss: 0.111504 Generator_loss: 4.59868 
[INFO] 2021-01-15 20:10:08 > Step:   55400 Progress: 55.4% Elapsed: 8:09:57 temperature: no ada_p: No Discriminator_loss: 0.128186 Generator_loss: 6.98222 
[INFO] 2021-01-15 20:10:57 > Step:   55500 Progress: 55.5% Elapsed: 8:10:46 temperature: no ada_p: No Discriminator_loss: 0.153665 Generator_loss: 7.65959 
[INFO] 2021-01-15 20:11:46 > Step:   55600 Progress: 55.6% Elapsed: 8:11:35 temperature: no ada_p: No Discriminator_loss: 0.128187 Generator_loss: 7.77954 
[INFO] 2021-01-15 20:12:35 > Step:   55700 Progress: 55.7% Elapsed: 8:12:24 temperature: no ada_p: No Discriminator_loss: 0.367402 Generator_loss: 9.6287 
[INFO] 2021-01-15 20:13:25 > Step:   55800 Progress: 55.8% Elapsed: 8:13:14 temperature: no ada_p: No Discriminator_loss: 0.0778268 Generator_loss: 8.74955 
[INFO] 2021-01-15 20:14:14 > Step:   55900 Progress: 55.9% Elapsed: 8:14:03 temperature: no ada_p: No Discriminator_loss: 0.180835 Generator_loss: 9.00434 
[INFO] 2021-01-15 20:15:03 > Step:   56000 Progress: 56.0% Elapsed: 8:14:52 temperature: no ada_p: No Discriminator_loss: 0.384478 Generator_loss: 12.534 
[INFO] 2021-01-15 20:15:03 > Start Evaluation (56000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 20:15:03 > Calculating FID Score....
[INFO] 2021-01-15 20:15:23 > Calculating Inception Score....
[INFO] 2021-01-15 20:15:36 > Calculate F_beta Score....
[INFO] 2021-01-15 20:16:13 > Calculate Accuracies....
[INFO] 2021-01-15 20:16:18 > Calculate Accuracies....
[INFO] 2021-01-15 20:16:20 > F_8 score (Step: 56000, Using valid images): 0.0
[INFO] 2021-01-15 20:16:20 > F_1/8 score (Step: 56000, Using valid images): 0.0
[INFO] 2021-01-15 20:16:20 > FID score (Step: 56000, Using valid moments): 423.88164648114287
[INFO] 2021-01-15 20:16:20 > Inception score (Step: 56000, 10000 generated images): 1.0562993288040161
[INFO] 2021-01-15 20:16:20 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 20:16:21 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 20:17:10 > Step:   56100 Progress: 56.1% Elapsed: 8:16:59 temperature: no ada_p: No Discriminator_loss: 0.170146 Generator_loss: 9.33564 
[INFO] 2021-01-15 20:18:00 > Step:   56200 Progress: 56.2% Elapsed: 8:17:48 temperature: no ada_p: No Discriminator_loss: 0.0838409 Generator_loss: 9.37921 
[INFO] 2021-01-15 20:18:49 > Step:   56300 Progress: 56.3% Elapsed: 8:18:37 temperature: no ada_p: No Discriminator_loss: 0.108619 Generator_loss: 8.08115 
[INFO] 2021-01-15 20:19:38 > Step:   56400 Progress: 56.4% Elapsed: 8:19:26 temperature: no ada_p: No Discriminator_loss: 0.190379 Generator_loss: 10.1471 
[INFO] 2021-01-15 20:20:27 > Step:   56500 Progress: 56.5% Elapsed: 8:20:15 temperature: no ada_p: No Discriminator_loss: 0.193322 Generator_loss: 9.89484 
[INFO] 2021-01-15 20:21:16 > Step:   56600 Progress: 56.6% Elapsed: 8:21:05 temperature: no ada_p: No Discriminator_loss: 0.0995588 Generator_loss: 5.85447 
[INFO] 2021-01-15 20:22:05 > Step:   56700 Progress: 56.7% Elapsed: 8:21:54 temperature: no ada_p: No Discriminator_loss: 0.203583 Generator_loss: 14.6731 
[INFO] 2021-01-15 20:22:54 > Step:   56800 Progress: 56.8% Elapsed: 8:22:43 temperature: no ada_p: No Discriminator_loss: 0.11227 Generator_loss: 9.49203 
[INFO] 2021-01-15 20:23:43 > Step:   56900 Progress: 56.9% Elapsed: 8:23:32 temperature: no ada_p: No Discriminator_loss: 0.160296 Generator_loss: 13.3317 
[INFO] 2021-01-15 20:24:33 > Step:   57000 Progress: 57.0% Elapsed: 8:24:22 temperature: no ada_p: No Discriminator_loss: 0.128376 Generator_loss: 10.9123 
[INFO] 2021-01-15 20:25:22 > Step:   57100 Progress: 57.1% Elapsed: 8:25:11 temperature: no ada_p: No Discriminator_loss: 0.196346 Generator_loss: 12.8478 
[INFO] 2021-01-15 20:26:11 > Step:   57200 Progress: 57.2% Elapsed: 8:26:00 temperature: no ada_p: No Discriminator_loss: 0.296628 Generator_loss: 11.9545 
[INFO] 2021-01-15 20:27:00 > Step:   57300 Progress: 57.3% Elapsed: 8:26:49 temperature: no ada_p: No Discriminator_loss: 0.150363 Generator_loss: 13.5905 
[INFO] 2021-01-15 20:27:49 > Step:   57400 Progress: 57.4% Elapsed: 8:27:38 temperature: no ada_p: No Discriminator_loss: 0.276013 Generator_loss: 12.6081 
[INFO] 2021-01-15 20:28:38 > Step:   57500 Progress: 57.5% Elapsed: 8:28:27 temperature: no ada_p: No Discriminator_loss: 0.142006 Generator_loss: 13.5679 
[INFO] 2021-01-15 20:29:27 > Step:   57600 Progress: 57.6% Elapsed: 8:29:16 temperature: no ada_p: No Discriminator_loss: 0.158409 Generator_loss: 12.6752 
[INFO] 2021-01-15 20:30:16 > Step:   57700 Progress: 57.7% Elapsed: 8:30:05 temperature: no ada_p: No Discriminator_loss: 0.272054 Generator_loss: 13.0676 
[INFO] 2021-01-15 20:31:06 > Step:   57800 Progress: 57.8% Elapsed: 8:30:55 temperature: no ada_p: No Discriminator_loss: 0.328186 Generator_loss: 15.0547 
[INFO] 2021-01-15 20:31:55 > Step:   57900 Progress: 57.9% Elapsed: 8:31:44 temperature: no ada_p: No Discriminator_loss: 0.662073 Generator_loss: 15.3616 
[INFO] 2021-01-15 20:32:44 > Step:   58000 Progress: 58.0% Elapsed: 8:32:33 temperature: no ada_p: No Discriminator_loss: 0.193336 Generator_loss: 13.7451 
[INFO] 2021-01-15 20:32:44 > Start Evaluation (58000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 20:32:44 > Calculating FID Score....
[INFO] 2021-01-15 20:33:05 > Calculating Inception Score....
[INFO] 2021-01-15 20:33:17 > Calculate F_beta Score....
[INFO] 2021-01-15 20:33:54 > Calculate Accuracies....
[INFO] 2021-01-15 20:34:00 > Calculate Accuracies....
[INFO] 2021-01-15 20:34:01 > F_8 score (Step: 58000, Using valid images): 0.0
[INFO] 2021-01-15 20:34:01 > F_1/8 score (Step: 58000, Using valid images): 0.0
[INFO] 2021-01-15 20:34:01 > FID score (Step: 58000, Using valid moments): 364.6821484961015
[INFO] 2021-01-15 20:34:01 > Inception score (Step: 58000, 10000 generated images): 1.13438081741333
[INFO] 2021-01-15 20:34:01 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 20:34:02 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 20:34:51 > Step:   58100 Progress: 58.1% Elapsed: 8:34:40 temperature: no ada_p: No Discriminator_loss: 0.315654 Generator_loss: 15.8149 
[INFO] 2021-01-15 20:35:41 > Step:   58200 Progress: 58.2% Elapsed: 8:35:30 temperature: no ada_p: No Discriminator_loss: 0.344129 Generator_loss: 14.7369 
[INFO] 2021-01-15 20:36:30 > Step:   58300 Progress: 58.3% Elapsed: 8:36:19 temperature: no ada_p: No Discriminator_loss: 0.269721 Generator_loss: 14.238 
[INFO] 2021-01-15 20:37:19 > Step:   58400 Progress: 58.4% Elapsed: 8:37:08 temperature: no ada_p: No Discriminator_loss: 0.137628 Generator_loss: 13.052 
[INFO] 2021-01-15 20:38:08 > Step:   58500 Progress: 58.5% Elapsed: 8:37:57 temperature: no ada_p: No Discriminator_loss: 0.201557 Generator_loss: 13.0398 
[INFO] 2021-01-15 20:38:57 > Step:   58600 Progress: 58.6% Elapsed: 8:38:46 temperature: no ada_p: No Discriminator_loss: 0.214879 Generator_loss: 13.6476 
[INFO] 2021-01-15 20:39:46 > Step:   58700 Progress: 58.7% Elapsed: 8:39:35 temperature: no ada_p: No Discriminator_loss: 0.16856 Generator_loss: 13.4368 
[INFO] 2021-01-15 20:40:35 > Step:   58800 Progress: 58.8% Elapsed: 8:40:24 temperature: no ada_p: No Discriminator_loss: 0.32853 Generator_loss: 17.6913 
[INFO] 2021-01-15 20:41:25 > Step:   58900 Progress: 58.9% Elapsed: 8:41:14 temperature: no ada_p: No Discriminator_loss: 0.209517 Generator_loss: 13.9938 
[INFO] 2021-01-15 20:42:14 > Step:   59000 Progress: 59.0% Elapsed: 8:42:03 temperature: no ada_p: No Discriminator_loss: 0.256368 Generator_loss: 13.581 
[INFO] 2021-01-15 20:43:03 > Step:   59100 Progress: 59.1% Elapsed: 8:42:52 temperature: no ada_p: No Discriminator_loss: 0.218637 Generator_loss: 12.6317 
[INFO] 2021-01-15 20:43:52 > Step:   59200 Progress: 59.2% Elapsed: 8:43:41 temperature: no ada_p: No Discriminator_loss: 0.391962 Generator_loss: 14.3778 
[INFO] 2021-01-15 20:44:41 > Step:   59300 Progress: 59.3% Elapsed: 8:44:30 temperature: no ada_p: No Discriminator_loss: 0.313537 Generator_loss: 18.0539 
[INFO] 2021-01-15 20:45:30 > Step:   59400 Progress: 59.4% Elapsed: 8:45:19 temperature: no ada_p: No Discriminator_loss: 0.252404 Generator_loss: 15.5687 
[INFO] 2021-01-15 20:46:19 > Step:   59500 Progress: 59.5% Elapsed: 8:46:08 temperature: no ada_p: No Discriminator_loss: 0.252886 Generator_loss: 17.2019 
[INFO] 2021-01-15 20:47:08 > Step:   59600 Progress: 59.6% Elapsed: 8:46:57 temperature: no ada_p: No Discriminator_loss: 0.214393 Generator_loss: 16.4315 
[INFO] 2021-01-15 20:47:58 > Step:   59700 Progress: 59.7% Elapsed: 8:47:47 temperature: no ada_p: No Discriminator_loss: 0.375127 Generator_loss: 21.1783 
[INFO] 2021-01-15 20:48:47 > Step:   59800 Progress: 59.8% Elapsed: 8:48:36 temperature: no ada_p: No Discriminator_loss: 0.172656 Generator_loss: 17.5532 
[INFO] 2021-01-15 20:49:36 > Step:   59900 Progress: 59.9% Elapsed: 8:49:25 temperature: no ada_p: No Discriminator_loss: 0.277868 Generator_loss: 18.0882 
[INFO] 2021-01-15 20:50:25 > Step:   60000 Progress: 60.0% Elapsed: 8:50:14 temperature: no ada_p: No Discriminator_loss: 0.111463 Generator_loss: 17.5011 
[INFO] 2021-01-15 20:50:25 > Start Evaluation (60000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 20:50:25 > Calculating FID Score....
[INFO] 2021-01-15 20:50:45 > Calculating Inception Score....
[INFO] 2021-01-15 20:50:58 > Calculate F_beta Score....
[INFO] 2021-01-15 20:51:34 > Calculate Accuracies....
[INFO] 2021-01-15 20:51:40 > Calculate Accuracies....
[INFO] 2021-01-15 20:51:42 > F_8 score (Step: 60000, Using valid images): 0.0
[INFO] 2021-01-15 20:51:42 > F_1/8 score (Step: 60000, Using valid images): 0.0
[INFO] 2021-01-15 20:51:42 > FID score (Step: 60000, Using valid moments): 416.7040793837811
[INFO] 2021-01-15 20:51:42 > Inception score (Step: 60000, 10000 generated images): 1.0625494718551636
[INFO] 2021-01-15 20:51:42 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 20:51:43 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 20:52:32 > Step:   60100 Progress: 60.1% Elapsed: 8:52:21 temperature: no ada_p: No Discriminator_loss: 0.189908 Generator_loss: 18.2457 
[INFO] 2021-01-15 20:53:21 > Step:   60200 Progress: 60.2% Elapsed: 8:53:10 temperature: no ada_p: No Discriminator_loss: 0.143208 Generator_loss: 17.4155 
[INFO] 2021-01-15 20:54:10 > Step:   60300 Progress: 60.3% Elapsed: 8:53:59 temperature: no ada_p: No Discriminator_loss: 0.156028 Generator_loss: 16.5925 
[INFO] 2021-01-15 20:54:59 > Step:   60400 Progress: 60.4% Elapsed: 8:54:48 temperature: no ada_p: No Discriminator_loss: 0.136661 Generator_loss: 17.6744 
[INFO] 2021-01-15 20:55:49 > Step:   60500 Progress: 60.5% Elapsed: 8:55:37 temperature: no ada_p: No Discriminator_loss: 0.223627 Generator_loss: 15.4982 
[INFO] 2021-01-15 20:56:38 > Step:   60600 Progress: 60.6% Elapsed: 8:56:26 temperature: no ada_p: No Discriminator_loss: 0.224534 Generator_loss: 15.9965 
[INFO] 2021-01-15 20:57:26 > Step:   60700 Progress: 60.7% Elapsed: 8:57:15 temperature: no ada_p: No Discriminator_loss: 0.30181 Generator_loss: 16.5177 
[INFO] 2021-01-15 20:58:15 > Step:   60800 Progress: 60.8% Elapsed: 8:58:04 temperature: no ada_p: No Discriminator_loss: 0.248891 Generator_loss: 15.2231 
[INFO] 2021-01-15 20:59:05 > Step:   60900 Progress: 60.9% Elapsed: 8:58:54 temperature: no ada_p: No Discriminator_loss: 0.234631 Generator_loss: 15.3331 
[INFO] 2021-01-15 20:59:54 > Step:   61000 Progress: 61.0% Elapsed: 8:59:43 temperature: no ada_p: No Discriminator_loss: 0.530496 Generator_loss: 17.2039 
[INFO] 2021-01-15 21:00:43 > Step:   61100 Progress: 61.1% Elapsed: 9:00:32 temperature: no ada_p: No Discriminator_loss: 0.208628 Generator_loss: 15.2314 
[INFO] 2021-01-15 21:01:32 > Step:   61200 Progress: 61.2% Elapsed: 9:01:21 temperature: no ada_p: No Discriminator_loss: 0.27329 Generator_loss: 14.0076 
[INFO] 2021-01-15 21:02:22 > Step:   61300 Progress: 61.3% Elapsed: 9:02:10 temperature: no ada_p: No Discriminator_loss: 0.636511 Generator_loss: 21.3598 
[INFO] 2021-01-15 21:03:11 > Step:   61400 Progress: 61.4% Elapsed: 9:02:59 temperature: no ada_p: No Discriminator_loss: 0.247643 Generator_loss: 14.6975 
[INFO] 2021-01-15 21:03:59 > Step:   61500 Progress: 61.5% Elapsed: 9:03:48 temperature: no ada_p: No Discriminator_loss: 0.204508 Generator_loss: 17.74 
[INFO] 2021-01-15 21:04:48 > Step:   61600 Progress: 61.6% Elapsed: 9:04:37 temperature: no ada_p: No Discriminator_loss: 0.284476 Generator_loss: 20.9234 
[INFO] 2021-01-15 21:05:38 > Step:   61700 Progress: 61.7% Elapsed: 9:05:27 temperature: no ada_p: No Discriminator_loss: 0.235553 Generator_loss: 18.5858 
[INFO] 2021-01-15 21:06:27 > Step:   61800 Progress: 61.8% Elapsed: 9:06:16 temperature: no ada_p: No Discriminator_loss: 0.188867 Generator_loss: 16.7113 
[INFO] 2021-01-15 21:07:16 > Step:   61900 Progress: 61.9% Elapsed: 9:07:05 temperature: no ada_p: No Discriminator_loss: 0.211165 Generator_loss: 18.2348 
[INFO] 2021-01-15 21:08:05 > Step:   62000 Progress: 62.0% Elapsed: 9:07:54 temperature: no ada_p: No Discriminator_loss: 0.211955 Generator_loss: 16.7341 
[INFO] 2021-01-15 21:08:05 > Start Evaluation (62000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 21:08:05 > Calculating FID Score....
[INFO] 2021-01-15 21:08:25 > Calculating Inception Score....
[INFO] 2021-01-15 21:08:38 > Calculate F_beta Score....
[INFO] 2021-01-15 21:09:15 > Calculate Accuracies....
[INFO] 2021-01-15 21:09:20 > Calculate Accuracies....
[INFO] 2021-01-15 21:09:22 > F_8 score (Step: 62000, Using valid images): 0.0
[INFO] 2021-01-15 21:09:22 > F_1/8 score (Step: 62000, Using valid images): 0.0
[INFO] 2021-01-15 21:09:22 > FID score (Step: 62000, Using valid moments): 396.40155754563034
[INFO] 2021-01-15 21:09:22 > Inception score (Step: 62000, 10000 generated images): 1.0587048530578613
[INFO] 2021-01-15 21:09:22 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 21:09:23 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 21:10:13 > Step:   62100 Progress: 62.1% Elapsed: 9:10:01 temperature: no ada_p: No Discriminator_loss: 0.102528 Generator_loss: 16.5494 
[INFO] 2021-01-15 21:11:01 > Step:   62200 Progress: 62.2% Elapsed: 9:10:50 temperature: no ada_p: No Discriminator_loss: 0.167788 Generator_loss: 18.5946 
[INFO] 2021-01-15 21:11:50 > Step:   62300 Progress: 62.3% Elapsed: 9:11:39 temperature: no ada_p: No Discriminator_loss: 0.263953 Generator_loss: 19.188 
[INFO] 2021-01-15 21:12:39 > Step:   62400 Progress: 62.4% Elapsed: 9:12:28 temperature: no ada_p: No Discriminator_loss: 0.186344 Generator_loss: 15.3383 
[INFO] 2021-01-15 21:13:29 > Step:   62500 Progress: 62.5% Elapsed: 9:13:18 temperature: no ada_p: No Discriminator_loss: 0.114588 Generator_loss: 16.518 
[INFO] 2021-01-15 21:14:18 > Step:   62600 Progress: 62.6% Elapsed: 9:14:07 temperature: no ada_p: No Discriminator_loss: 0.129415 Generator_loss: 14.3407 
[INFO] 2021-01-15 21:15:07 > Step:   62700 Progress: 62.7% Elapsed: 9:14:56 temperature: no ada_p: No Discriminator_loss: 0.156775 Generator_loss: 18.7165 
[INFO] 2021-01-15 21:15:57 > Step:   62800 Progress: 62.8% Elapsed: 9:15:46 temperature: no ada_p: No Discriminator_loss: 0.175742 Generator_loss: 17.0387 
[INFO] 2021-01-15 21:16:46 > Step:   62900 Progress: 62.9% Elapsed: 9:16:35 temperature: no ada_p: No Discriminator_loss: 0.0948899 Generator_loss: 15.1751 
[INFO] 2021-01-15 21:17:35 > Step:   63000 Progress: 63.0% Elapsed: 9:17:24 temperature: no ada_p: No Discriminator_loss: 0.979604 Generator_loss: 20.6315 
[INFO] 2021-01-15 21:18:24 > Step:   63100 Progress: 63.1% Elapsed: 9:18:13 temperature: no ada_p: No Discriminator_loss: 0.0611694 Generator_loss: 14.598 
[INFO] 2021-01-15 21:19:13 > Step:   63200 Progress: 63.2% Elapsed: 9:19:02 temperature: no ada_p: No Discriminator_loss: 0.218189 Generator_loss: 15.8297 
[INFO] 2021-01-15 21:20:02 > Step:   63300 Progress: 63.3% Elapsed: 9:19:51 temperature: no ada_p: No Discriminator_loss: 0.420965 Generator_loss: 19.1689 
[INFO] 2021-01-15 21:20:51 > Step:   63400 Progress: 63.4% Elapsed: 9:20:40 temperature: no ada_p: No Discriminator_loss: 0.187637 Generator_loss: 15.6216 
[INFO] 2021-01-15 21:21:40 > Step:   63500 Progress: 63.5% Elapsed: 9:21:29 temperature: no ada_p: No Discriminator_loss: 0.0928024 Generator_loss: 14.7089 
[INFO] 2021-01-15 21:22:30 > Step:   63600 Progress: 63.6% Elapsed: 9:22:19 temperature: no ada_p: No Discriminator_loss: 0.240748 Generator_loss: 20.2998 
[INFO] 2021-01-15 21:23:19 > Step:   63700 Progress: 63.7% Elapsed: 9:23:08 temperature: no ada_p: No Discriminator_loss: 0.104523 Generator_loss: 14.9527 
[INFO] 2021-01-15 21:24:08 > Step:   63800 Progress: 63.8% Elapsed: 9:23:57 temperature: no ada_p: No Discriminator_loss: 0.58625 Generator_loss: 19.9831 
[INFO] 2021-01-15 21:24:57 > Step:   63900 Progress: 63.9% Elapsed: 9:24:46 temperature: no ada_p: No Discriminator_loss: 0.121822 Generator_loss: 15.7056 
[INFO] 2021-01-15 21:25:46 > Step:   64000 Progress: 64.0% Elapsed: 9:25:35 temperature: no ada_p: No Discriminator_loss: 0.177321 Generator_loss: 14.9417 
[INFO] 2021-01-15 21:25:46 > Start Evaluation (64000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 21:25:46 > Calculating FID Score....
[INFO] 2021-01-15 21:26:07 > Calculating Inception Score....
[INFO] 2021-01-15 21:26:20 > Calculate F_beta Score....
[INFO] 2021-01-15 21:26:57 > Calculate Accuracies....
[INFO] 2021-01-15 21:27:03 > Calculate Accuracies....
[INFO] 2021-01-15 21:27:04 > F_8 score (Step: 64000, Using valid images): 0.0
[INFO] 2021-01-15 21:27:04 > F_1/8 score (Step: 64000, Using valid images): 0.0
[INFO] 2021-01-15 21:27:04 > FID score (Step: 64000, Using valid moments): 469.1668506164206
[INFO] 2021-01-15 21:27:04 > Inception score (Step: 64000, 10000 generated images): 1.0834558010101318
[INFO] 2021-01-15 21:27:04 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 21:27:05 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 21:27:54 > Step:   64100 Progress: 64.1% Elapsed: 9:27:43 temperature: no ada_p: No Discriminator_loss: 0.119318 Generator_loss: 15.8411 
[INFO] 2021-01-15 21:28:43 > Step:   64200 Progress: 64.2% Elapsed: 9:28:32 temperature: no ada_p: No Discriminator_loss: 0.176362 Generator_loss: 11.5858 
[INFO] 2021-01-15 21:29:32 > Step:   64300 Progress: 64.3% Elapsed: 9:29:21 temperature: no ada_p: No Discriminator_loss: 0.27578 Generator_loss: 14.9676 
[INFO] 2021-01-15 21:30:22 > Step:   64400 Progress: 64.4% Elapsed: 9:30:11 temperature: no ada_p: No Discriminator_loss: 0.241895 Generator_loss: 15.7183 
[INFO] 2021-01-15 21:31:11 > Step:   64500 Progress: 64.5% Elapsed: 9:31:00 temperature: no ada_p: No Discriminator_loss: 0.283943 Generator_loss: 17.1844 
[INFO] 2021-01-15 21:32:00 > Step:   64600 Progress: 64.6% Elapsed: 9:31:49 temperature: no ada_p: No Discriminator_loss: 0.325736 Generator_loss: 19.0889 
[INFO] 2021-01-15 21:32:49 > Step:   64700 Progress: 64.7% Elapsed: 9:32:38 temperature: no ada_p: No Discriminator_loss: 0.0859128 Generator_loss: 15.357 
[INFO] 2021-01-15 21:33:38 > Step:   64800 Progress: 64.8% Elapsed: 9:33:27 temperature: no ada_p: No Discriminator_loss: 0.195686 Generator_loss: 18.8266 
[INFO] 2021-01-15 21:34:27 > Step:   64900 Progress: 64.9% Elapsed: 9:34:16 temperature: no ada_p: No Discriminator_loss: 0.0465628 Generator_loss: 15.0826 
[INFO] 2021-01-15 21:35:16 > Step:   65000 Progress: 65.0% Elapsed: 9:35:05 temperature: no ada_p: No Discriminator_loss: 0.207381 Generator_loss: 19.0697 
[INFO] 2021-01-15 21:36:05 > Step:   65100 Progress: 65.1% Elapsed: 9:35:54 temperature: no ada_p: No Discriminator_loss: 0.286836 Generator_loss: 17.7701 
[INFO] 2021-01-15 21:36:55 > Step:   65200 Progress: 65.2% Elapsed: 9:36:44 temperature: no ada_p: No Discriminator_loss: 0.098079 Generator_loss: 16.235 
[INFO] 2021-01-15 21:37:44 > Step:   65300 Progress: 65.3% Elapsed: 9:37:33 temperature: no ada_p: No Discriminator_loss: 0.197305 Generator_loss: 15.4191 
[INFO] 2021-01-15 21:38:33 > Step:   65400 Progress: 65.4% Elapsed: 9:38:22 temperature: no ada_p: No Discriminator_loss: 0.102243 Generator_loss: 16.0376 
[INFO] 2021-01-15 21:39:22 > Step:   65500 Progress: 65.5% Elapsed: 9:39:10 temperature: no ada_p: No Discriminator_loss: 0.164372 Generator_loss: 17.4312 
[INFO] 2021-01-15 21:40:11 > Step:   65600 Progress: 65.6% Elapsed: 9:40:00 temperature: no ada_p: No Discriminator_loss: 0.10032 Generator_loss: 15.1692 
[INFO] 2021-01-15 21:41:00 > Step:   65700 Progress: 65.7% Elapsed: 9:40:49 temperature: no ada_p: No Discriminator_loss: 0.0626357 Generator_loss: 13.6828 
[INFO] 2021-01-15 21:41:49 > Step:   65800 Progress: 65.8% Elapsed: 9:41:38 temperature: no ada_p: No Discriminator_loss: 0.0526502 Generator_loss: 14.0099 
[INFO] 2021-01-15 21:42:38 > Step:   65900 Progress: 65.9% Elapsed: 9:42:27 temperature: no ada_p: No Discriminator_loss: 0.415016 Generator_loss: 11.0461 
[INFO] 2021-01-15 21:43:28 > Step:   66000 Progress: 66.0% Elapsed: 9:43:17 temperature: no ada_p: No Discriminator_loss: 0.095523 Generator_loss: 11.0646 
[INFO] 2021-01-15 21:43:28 > Start Evaluation (66000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 21:43:28 > Calculating FID Score....
[INFO] 2021-01-15 21:43:49 > Calculating Inception Score....
[INFO] 2021-01-15 21:44:02 > Calculate F_beta Score....
[INFO] 2021-01-15 21:44:38 > Calculate Accuracies....
[INFO] 2021-01-15 21:44:44 > Calculate Accuracies....
[INFO] 2021-01-15 21:44:45 > F_8 score (Step: 66000, Using valid images): 0.0
[INFO] 2021-01-15 21:44:45 > F_1/8 score (Step: 66000, Using valid images): 0.0
[INFO] 2021-01-15 21:44:45 > FID score (Step: 66000, Using valid moments): 411.4553417324038
[INFO] 2021-01-15 21:44:45 > Inception score (Step: 66000, 10000 generated images): 1.0356160402297974
[INFO] 2021-01-15 21:44:45 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 21:44:46 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 21:45:35 > Step:   66100 Progress: 66.1% Elapsed: 9:45:24 temperature: no ada_p: No Discriminator_loss: 0.105061 Generator_loss: 12.121 
[INFO] 2021-01-15 21:46:24 > Step:   66200 Progress: 66.2% Elapsed: 9:46:13 temperature: no ada_p: No Discriminator_loss: 0.185173 Generator_loss: 14.5825 
[INFO] 2021-01-15 21:47:13 > Step:   66300 Progress: 66.3% Elapsed: 9:47:02 temperature: no ada_p: No Discriminator_loss: 0.126216 Generator_loss: 13.6198 
[INFO] 2021-01-15 21:48:03 > Step:   66400 Progress: 66.4% Elapsed: 9:47:52 temperature: no ada_p: No Discriminator_loss: 0.0783786 Generator_loss: 13.3239 
[INFO] 2021-01-15 21:48:52 > Step:   66500 Progress: 66.5% Elapsed: 9:48:41 temperature: no ada_p: No Discriminator_loss: 6.25171 Generator_loss: 5.72274 
[INFO] 2021-01-15 21:49:41 > Step:   66600 Progress: 66.6% Elapsed: 9:49:30 temperature: no ada_p: No Discriminator_loss: 5.40133 Generator_loss: 7.00524 
[INFO] 2021-01-15 21:50:30 > Step:   66700 Progress: 66.7% Elapsed: 9:50:19 temperature: no ada_p: No Discriminator_loss: 5.3689 Generator_loss: 6.94882 
[INFO] 2021-01-15 21:51:19 > Step:   66800 Progress: 66.8% Elapsed: 9:51:08 temperature: no ada_p: No Discriminator_loss: 5.41566 Generator_loss: 6.89223 
[INFO] 2021-01-15 21:52:08 > Step:   66900 Progress: 66.9% Elapsed: 9:51:57 temperature: no ada_p: No Discriminator_loss: 0.209215 Generator_loss: 5.37418 
[INFO] 2021-01-15 21:52:57 > Step:   67000 Progress: 67.0% Elapsed: 9:52:46 temperature: no ada_p: No Discriminator_loss: 0.161293 Generator_loss: 5.99299 
[INFO] 2021-01-15 21:53:47 > Step:   67100 Progress: 67.1% Elapsed: 9:53:36 temperature: no ada_p: No Discriminator_loss: 0.0769822 Generator_loss: 5.43106 
[INFO] 2021-01-15 21:54:36 > Step:   67200 Progress: 67.2% Elapsed: 9:54:25 temperature: no ada_p: No Discriminator_loss: 0.249355 Generator_loss: 7.59702 
[INFO] 2021-01-15 21:55:25 > Step:   67300 Progress: 67.3% Elapsed: 9:55:14 temperature: no ada_p: No Discriminator_loss: 0.110871 Generator_loss: 5.87027 
[INFO] 2021-01-15 21:56:14 > Step:   67400 Progress: 67.4% Elapsed: 9:56:03 temperature: no ada_p: No Discriminator_loss: 0.210774 Generator_loss: 4.78518 
[INFO] 2021-01-15 21:57:03 > Step:   67500 Progress: 67.5% Elapsed: 9:56:52 temperature: no ada_p: No Discriminator_loss: 0.411409 Generator_loss: 7.15792 
[INFO] 2021-01-15 21:57:52 > Step:   67600 Progress: 67.6% Elapsed: 9:57:41 temperature: no ada_p: No Discriminator_loss: 0.165536 Generator_loss: 4.15138 
[INFO] 2021-01-15 21:58:41 > Step:   67700 Progress: 67.7% Elapsed: 9:58:30 temperature: no ada_p: No Discriminator_loss: 0.476909 Generator_loss: 8.63198 
[INFO] 2021-01-15 21:59:30 > Step:   67800 Progress: 67.8% Elapsed: 9:59:19 temperature: no ada_p: No Discriminator_loss: 0.212208 Generator_loss: 6.39733 
[INFO] 2021-01-15 22:00:20 > Step:   67900 Progress: 67.9% Elapsed: 10:00:09 temperature: no ada_p: No Discriminator_loss: 0.241154 Generator_loss: 7.15862 
[INFO] 2021-01-15 22:01:09 > Step:   68000 Progress: 68.0% Elapsed: 10:00:58 temperature: no ada_p: No Discriminator_loss: 0.0572204 Generator_loss: 6.60333 
[INFO] 2021-01-15 22:01:09 > Start Evaluation (68000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 22:01:09 > Calculating FID Score....
[INFO] 2021-01-15 22:01:29 > Calculating Inception Score....
[INFO] 2021-01-15 22:01:42 > Calculate F_beta Score....
[INFO] 2021-01-15 22:02:19 > Calculate Accuracies....
[INFO] 2021-01-15 22:02:25 > Calculate Accuracies....
[INFO] 2021-01-15 22:02:27 > F_8 score (Step: 68000, Using valid images): 0.0
[INFO] 2021-01-15 22:02:27 > F_1/8 score (Step: 68000, Using valid images): 0.0
[INFO] 2021-01-15 22:02:27 > FID score (Step: 68000, Using valid moments): 457.9167010237811
[INFO] 2021-01-15 22:02:27 > Inception score (Step: 68000, 10000 generated images): 1.1069995164871216
[INFO] 2021-01-15 22:02:27 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 22:02:28 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 22:03:17 > Step:   68100 Progress: 68.1% Elapsed: 10:03:05 temperature: no ada_p: No Discriminator_loss: 0.0783082 Generator_loss: 6.63808 
[INFO] 2021-01-15 22:04:06 > Step:   68200 Progress: 68.2% Elapsed: 10:03:54 temperature: no ada_p: No Discriminator_loss: 0.0581368 Generator_loss: 6.7391 
[INFO] 2021-01-15 22:04:55 > Step:   68300 Progress: 68.3% Elapsed: 10:04:44 temperature: no ada_p: No Discriminator_loss: 0.0354277 Generator_loss: 7.33062 
[INFO] 2021-01-15 22:05:44 > Step:   68400 Progress: 68.4% Elapsed: 10:05:33 temperature: no ada_p: No Discriminator_loss: 0.0397657 Generator_loss: 6.84497 
[INFO] 2021-01-15 22:06:33 > Step:   68500 Progress: 68.5% Elapsed: 10:06:22 temperature: no ada_p: No Discriminator_loss: 0.124305 Generator_loss: 3.64312 
[INFO] 2021-01-15 22:07:22 > Step:   68600 Progress: 68.6% Elapsed: 10:07:11 temperature: no ada_p: No Discriminator_loss: 0.15284 Generator_loss: 6.41885 
[INFO] 2021-01-15 22:08:12 > Step:   68700 Progress: 68.7% Elapsed: 10:08:00 temperature: no ada_p: No Discriminator_loss: 0.0885337 Generator_loss: 5.65798 
[INFO] 2021-01-15 22:09:01 > Step:   68800 Progress: 68.8% Elapsed: 10:08:49 temperature: no ada_p: No Discriminator_loss: 0.0459602 Generator_loss: 4.98595 
[INFO] 2021-01-15 22:09:49 > Step:   68900 Progress: 68.9% Elapsed: 10:09:38 temperature: no ada_p: No Discriminator_loss: 0.203266 Generator_loss: 8.35075 
[INFO] 2021-01-15 22:10:38 > Step:   69000 Progress: 69.0% Elapsed: 10:10:27 temperature: no ada_p: No Discriminator_loss: 0.235834 Generator_loss: 9.60314 
[INFO] 2021-01-15 22:11:28 > Step:   69100 Progress: 69.1% Elapsed: 10:11:17 temperature: no ada_p: No Discriminator_loss: 0.5334 Generator_loss: 9.88546 
[INFO] 2021-01-15 22:12:17 > Step:   69200 Progress: 69.2% Elapsed: 10:12:06 temperature: no ada_p: No Discriminator_loss: 0.442543 Generator_loss: 7.59352 
[INFO] 2021-01-15 22:13:06 > Step:   69300 Progress: 69.3% Elapsed: 10:12:55 temperature: no ada_p: No Discriminator_loss: 0.431561 Generator_loss: 8.36381 
[INFO] 2021-01-15 22:13:55 > Step:   69400 Progress: 69.4% Elapsed: 10:13:44 temperature: no ada_p: No Discriminator_loss: 0.347122 Generator_loss: 7.22914 
[INFO] 2021-01-15 22:14:44 > Step:   69500 Progress: 69.5% Elapsed: 10:14:33 temperature: no ada_p: No Discriminator_loss: 1.1517 Generator_loss: 8.3352 
[INFO] 2021-01-15 22:15:33 > Step:   69600 Progress: 69.6% Elapsed: 10:15:22 temperature: no ada_p: No Discriminator_loss: 0.573457 Generator_loss: 7.85618 
[INFO] 2021-01-15 22:16:22 > Step:   69700 Progress: 69.7% Elapsed: 10:16:11 temperature: no ada_p: No Discriminator_loss: 0.913995 Generator_loss: 9.22837 
[INFO] 2021-01-15 22:17:11 > Step:   69800 Progress: 69.8% Elapsed: 10:17:00 temperature: no ada_p: No Discriminator_loss: 1.82122 Generator_loss: 9.38464 
[INFO] 2021-01-15 22:18:01 > Step:   69900 Progress: 69.9% Elapsed: 10:17:50 temperature: no ada_p: No Discriminator_loss: 0.305201 Generator_loss: 5.78581 
[INFO] 2021-01-15 22:18:50 > Step:   70000 Progress: 70.0% Elapsed: 10:18:39 temperature: no ada_p: No Discriminator_loss: 0.603293 Generator_loss: 6.36057 
[INFO] 2021-01-15 22:18:50 > Start Evaluation (70000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 22:18:50 > Calculating FID Score....
[INFO] 2021-01-15 22:19:10 > Calculating Inception Score....
[INFO] 2021-01-15 22:19:23 > Calculate F_beta Score....
[INFO] 2021-01-15 22:20:01 > Calculate Accuracies....
[INFO] 2021-01-15 22:20:06 > Calculate Accuracies....
[INFO] 2021-01-15 22:20:08 > F_8 score (Step: 70000, Using valid images): 0.00017264777513902063
[INFO] 2021-01-15 22:20:08 > F_1/8 score (Step: 70000, Using valid images): 0.009200185679975019
[INFO] 2021-01-15 22:20:08 > FID score (Step: 70000, Using valid moments): 257.26037089246734
[INFO] 2021-01-15 22:20:08 > Inception score (Step: 70000, 10000 generated images): 2.4430253505706787
[INFO] 2021-01-15 22:20:08 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 22:20:09 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 22:20:58 > Step:   70100 Progress: 70.1% Elapsed: 10:20:47 temperature: no ada_p: No Discriminator_loss: 1.46256 Generator_loss: 6.487 
[INFO] 2021-01-15 22:21:47 > Step:   70200 Progress: 70.2% Elapsed: 10:21:36 temperature: no ada_p: No Discriminator_loss: 0.744511 Generator_loss: 5.91629 
[INFO] 2021-01-15 22:22:37 > Step:   70300 Progress: 70.3% Elapsed: 10:22:26 temperature: no ada_p: No Discriminator_loss: 0.326654 Generator_loss: 3.99134 
[INFO] 2021-01-15 22:23:26 > Step:   70400 Progress: 70.4% Elapsed: 10:23:15 temperature: no ada_p: No Discriminator_loss: 0.375127 Generator_loss: 4.61733 
[INFO] 2021-01-15 22:24:15 > Step:   70500 Progress: 70.5% Elapsed: 10:24:04 temperature: no ada_p: No Discriminator_loss: 0.556609 Generator_loss: 3.82974 
[INFO] 2021-01-15 22:25:04 > Step:   70600 Progress: 70.6% Elapsed: 10:24:53 temperature: no ada_p: No Discriminator_loss: 0.336677 Generator_loss: 4.39006 
[INFO] 2021-01-15 22:25:53 > Step:   70700 Progress: 70.7% Elapsed: 10:25:42 temperature: no ada_p: No Discriminator_loss: 1.02299 Generator_loss: 4.04231 
[INFO] 2021-01-15 22:26:42 > Step:   70800 Progress: 70.8% Elapsed: 10:26:31 temperature: no ada_p: No Discriminator_loss: 0.337257 Generator_loss: 3.65628 
[INFO] 2021-01-15 22:27:31 > Step:   70900 Progress: 70.9% Elapsed: 10:27:20 temperature: no ada_p: No Discriminator_loss: 0.601382 Generator_loss: 5.04183 
[INFO] 2021-01-15 22:28:21 > Step:   71000 Progress: 71.0% Elapsed: 10:28:10 temperature: no ada_p: No Discriminator_loss: 0.938897 Generator_loss: 5.9477 
[INFO] 2021-01-15 22:29:10 > Step:   71100 Progress: 71.1% Elapsed: 10:28:59 temperature: no ada_p: No Discriminator_loss: 0.772392 Generator_loss: 6.86232 
[INFO] 2021-01-15 22:29:59 > Step:   71200 Progress: 71.2% Elapsed: 10:29:47 temperature: no ada_p: No Discriminator_loss: 0.235875 Generator_loss: 3.03629 
[INFO] 2021-01-15 22:30:48 > Step:   71300 Progress: 71.3% Elapsed: 10:30:36 temperature: no ada_p: No Discriminator_loss: 0.27648 Generator_loss: 4.18104 
[INFO] 2021-01-15 22:31:37 > Step:   71400 Progress: 71.4% Elapsed: 10:31:26 temperature: no ada_p: No Discriminator_loss: 0.318238 Generator_loss: 4.2773 
[INFO] 2021-01-15 22:32:26 > Step:   71500 Progress: 71.5% Elapsed: 10:32:15 temperature: no ada_p: No Discriminator_loss: 0.401286 Generator_loss: 3.67485 
[INFO] 2021-01-15 22:33:15 > Step:   71600 Progress: 71.6% Elapsed: 10:33:04 temperature: no ada_p: No Discriminator_loss: 0.376416 Generator_loss: 2.59327 
[INFO] 2021-01-15 22:34:04 > Step:   71700 Progress: 71.7% Elapsed: 10:33:53 temperature: no ada_p: No Discriminator_loss: 0.291039 Generator_loss: 3.65949 
[INFO] 2021-01-15 22:34:54 > Step:   71800 Progress: 71.8% Elapsed: 10:34:43 temperature: no ada_p: No Discriminator_loss: 0.288081 Generator_loss: 2.09286 
[INFO] 2021-01-15 22:35:43 > Step:   71900 Progress: 71.9% Elapsed: 10:35:31 temperature: no ada_p: No Discriminator_loss: 0.192714 Generator_loss: 4.11112 
[INFO] 2021-01-15 22:36:32 > Step:   72000 Progress: 72.0% Elapsed: 10:36:20 temperature: no ada_p: No Discriminator_loss: 0.225831 Generator_loss: 5.42026 
[INFO] 2021-01-15 22:36:32 > Start Evaluation (72000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 22:36:32 > Calculating FID Score....
[INFO] 2021-01-15 22:36:52 > Calculating Inception Score....
[INFO] 2021-01-15 22:37:05 > Calculate F_beta Score....
[INFO] 2021-01-15 22:37:43 > Calculate Accuracies....
[INFO] 2021-01-15 22:37:49 > Calculate Accuracies....
[INFO] 2021-01-15 22:37:50 > F_8 score (Step: 72000, Using valid images): 0.4771688998963475
[INFO] 2021-01-15 22:37:50 > F_1/8 score (Step: 72000, Using valid images): 0.3610739795523723
[INFO] 2021-01-15 22:37:50 > FID score (Step: 72000, Using valid moments): 133.46825512898812
[INFO] 2021-01-15 22:37:50 > Inception score (Step: 72000, 10000 generated images): 5.007290363311768
[INFO] 2021-01-15 22:37:50 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 22:37:51 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 22:38:40 > Step:   72100 Progress: 72.1% Elapsed: 10:38:29 temperature: no ada_p: No Discriminator_loss: 0.320393 Generator_loss: 2.9727 
[INFO] 2021-01-15 22:39:30 > Step:   72200 Progress: 72.2% Elapsed: 10:39:19 temperature: no ada_p: No Discriminator_loss: 0.268442 Generator_loss: 3.77291 
[INFO] 2021-01-15 22:40:19 > Step:   72300 Progress: 72.3% Elapsed: 10:40:08 temperature: no ada_p: No Discriminator_loss: 0.277343 Generator_loss: 3.46552 
[INFO] 2021-01-15 22:41:08 > Step:   72400 Progress: 72.4% Elapsed: 10:40:57 temperature: no ada_p: No Discriminator_loss: 0.212692 Generator_loss: 3.03902 
[INFO] 2021-01-15 22:41:57 > Step:   72500 Progress: 72.5% Elapsed: 10:41:46 temperature: no ada_p: No Discriminator_loss: 0.139863 Generator_loss: 3.57524 
[INFO] 2021-01-15 22:42:46 > Step:   72600 Progress: 72.6% Elapsed: 10:42:35 temperature: no ada_p: No Discriminator_loss: 0.325595 Generator_loss: 3.16744 
[INFO] 2021-01-15 22:43:35 > Step:   72700 Progress: 72.7% Elapsed: 10:43:24 temperature: no ada_p: No Discriminator_loss: 0.158437 Generator_loss: 3.87598 
[INFO] 2021-01-15 22:44:24 > Step:   72800 Progress: 72.8% Elapsed: 10:44:13 temperature: no ada_p: No Discriminator_loss: 0.356734 Generator_loss: 4.47925 
[INFO] 2021-01-15 22:45:13 > Step:   72900 Progress: 72.9% Elapsed: 10:45:02 temperature: no ada_p: No Discriminator_loss: 0.16032 Generator_loss: 3.0361 
[INFO] 2021-01-15 22:46:03 > Step:   73000 Progress: 73.0% Elapsed: 10:45:52 temperature: no ada_p: No Discriminator_loss: 0.276187 Generator_loss: 2.55001 
[INFO] 2021-01-15 22:46:52 > Step:   73100 Progress: 73.1% Elapsed: 10:46:41 temperature: no ada_p: No Discriminator_loss: 0.418297 Generator_loss: 3.90507 
[INFO] 2021-01-15 22:47:41 > Step:   73200 Progress: 73.2% Elapsed: 10:47:30 temperature: no ada_p: No Discriminator_loss: 0.630087 Generator_loss: 2.99896 
[INFO] 2021-01-15 22:48:30 > Step:   73300 Progress: 73.3% Elapsed: 10:48:19 temperature: no ada_p: No Discriminator_loss: 1.71086 Generator_loss: 0.977654 
[INFO] 2021-01-15 22:49:19 > Step:   73400 Progress: 73.4% Elapsed: 10:49:08 temperature: no ada_p: No Discriminator_loss: 0.3039 Generator_loss: 4.25235 
[INFO] 2021-01-15 22:50:08 > Step:   73500 Progress: 73.5% Elapsed: 10:49:57 temperature: no ada_p: No Discriminator_loss: 0.973447 Generator_loss: 5.92541 
[INFO] 2021-01-15 22:50:57 > Step:   73600 Progress: 73.6% Elapsed: 10:50:46 temperature: no ada_p: No Discriminator_loss: 0.366127 Generator_loss: 2.8222 
[INFO] 2021-01-15 22:51:46 > Step:   73700 Progress: 73.7% Elapsed: 10:51:35 temperature: no ada_p: No Discriminator_loss: 0.393138 Generator_loss: 4.37963 
[INFO] 2021-01-15 22:52:36 > Step:   73800 Progress: 73.8% Elapsed: 10:52:25 temperature: no ada_p: No Discriminator_loss: 0.199704 Generator_loss: 2.42034 
[INFO] 2021-01-15 22:53:25 > Step:   73900 Progress: 73.9% Elapsed: 10:53:14 temperature: no ada_p: No Discriminator_loss: 0.282435 Generator_loss: 2.20657 
[INFO] 2021-01-15 22:54:14 > Step:   74000 Progress: 74.0% Elapsed: 10:54:03 temperature: no ada_p: No Discriminator_loss: 0.286625 Generator_loss: 3.95326 
[INFO] 2021-01-15 22:54:14 > Start Evaluation (74000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 22:54:14 > Calculating FID Score....
[INFO] 2021-01-15 22:54:34 > Calculating Inception Score....
[INFO] 2021-01-15 22:54:47 > Calculate F_beta Score....
[INFO] 2021-01-15 22:55:25 > Calculate Accuracies....
[INFO] 2021-01-15 22:55:31 > Calculate Accuracies....
[INFO] 2021-01-15 22:55:32 > F_8 score (Step: 74000, Using valid images): 0.5637677704258299
[INFO] 2021-01-15 22:55:32 > F_1/8 score (Step: 74000, Using valid images): 0.32618493441401986
[INFO] 2021-01-15 22:55:32 > FID score (Step: 74000, Using valid moments): 139.43248857963914
[INFO] 2021-01-15 22:55:32 > Inception score (Step: 74000, 10000 generated images): 6.192348957061768
[INFO] 2021-01-15 22:55:32 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 22:55:33 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 22:56:22 > Step:   74100 Progress: 74.1% Elapsed: 10:56:11 temperature: no ada_p: No Discriminator_loss: 0.26274 Generator_loss: 3.02363 
[INFO] 2021-01-15 22:57:12 > Step:   74200 Progress: 74.2% Elapsed: 10:57:01 temperature: no ada_p: No Discriminator_loss: 0.655507 Generator_loss: 5.04314 
[INFO] 2021-01-15 22:58:01 > Step:   74300 Progress: 74.3% Elapsed: 10:57:50 temperature: no ada_p: No Discriminator_loss: 0.175857 Generator_loss: 2.99092 
[INFO] 2021-01-15 22:58:50 > Step:   74400 Progress: 74.4% Elapsed: 10:58:39 temperature: no ada_p: No Discriminator_loss: 0.369498 Generator_loss: 3.72309 
[INFO] 2021-01-15 22:59:40 > Step:   74500 Progress: 74.5% Elapsed: 10:59:29 temperature: no ada_p: No Discriminator_loss: 0.190547 Generator_loss: 4.23048 
[INFO] 2021-01-15 23:00:29 > Step:   74600 Progress: 74.6% Elapsed: 11:00:18 temperature: no ada_p: No Discriminator_loss: 0.272247 Generator_loss: 4.18774 
[INFO] 2021-01-15 23:01:18 > Step:   74700 Progress: 74.7% Elapsed: 11:01:06 temperature: no ada_p: No Discriminator_loss: 0.244805 Generator_loss: 3.27664 
[INFO] 2021-01-15 23:02:07 > Step:   74800 Progress: 74.8% Elapsed: 11:01:55 temperature: no ada_p: No Discriminator_loss: 0.138521 Generator_loss: 3.93351 
[INFO] 2021-01-15 23:02:56 > Step:   74900 Progress: 74.9% Elapsed: 11:02:45 temperature: no ada_p: No Discriminator_loss: 0.105054 Generator_loss: 2.24827 
[INFO] 2021-01-15 23:03:45 > Step:   75000 Progress: 75.0% Elapsed: 11:03:34 temperature: no ada_p: No Discriminator_loss: 0.0975771 Generator_loss: 3.47691 
[INFO] 2021-01-15 23:04:34 > Step:   75100 Progress: 75.1% Elapsed: 11:04:23 temperature: no ada_p: No Discriminator_loss: 0.0596825 Generator_loss: 3.41076 
[INFO] 2021-01-15 23:05:23 > Step:   75200 Progress: 75.2% Elapsed: 11:05:12 temperature: no ada_p: No Discriminator_loss: 0.367086 Generator_loss: 3.49393 
[INFO] 2021-01-15 23:06:13 > Step:   75300 Progress: 75.3% Elapsed: 11:06:02 temperature: no ada_p: No Discriminator_loss: 0.259512 Generator_loss: 2.69762 
[INFO] 2021-01-15 23:07:02 > Step:   75400 Progress: 75.4% Elapsed: 11:06:50 temperature: no ada_p: No Discriminator_loss: 0.232555 Generator_loss: 2.70074 
[INFO] 2021-01-15 23:07:51 > Step:   75500 Progress: 75.5% Elapsed: 11:07:39 temperature: no ada_p: No Discriminator_loss: 0.314171 Generator_loss: 4.26555 
[INFO] 2021-01-15 23:08:39 > Step:   75600 Progress: 75.6% Elapsed: 11:08:28 temperature: no ada_p: No Discriminator_loss: 0.155088 Generator_loss: 2.72772 
[INFO] 2021-01-15 23:09:29 > Step:   75700 Progress: 75.7% Elapsed: 11:09:18 temperature: no ada_p: No Discriminator_loss: 0.214737 Generator_loss: 4.6508 
[INFO] 2021-01-15 23:10:18 > Step:   75800 Progress: 75.8% Elapsed: 11:10:07 temperature: no ada_p: No Discriminator_loss: 0.936283 Generator_loss: 4.35158 
[INFO] 2021-01-15 23:11:07 > Step:   75900 Progress: 75.9% Elapsed: 11:10:56 temperature: no ada_p: No Discriminator_loss: 0.251783 Generator_loss: 2.81877 
[INFO] 2021-01-15 23:11:56 > Step:   76000 Progress: 76.0% Elapsed: 11:11:45 temperature: no ada_p: No Discriminator_loss: 0.190187 Generator_loss: 4.58512 
[INFO] 2021-01-15 23:11:56 > Start Evaluation (76000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 23:11:56 > Calculating FID Score....
[INFO] 2021-01-15 23:12:17 > Calculating Inception Score....
[INFO] 2021-01-15 23:12:30 > Calculate F_beta Score....
[INFO] 2021-01-15 23:13:08 > Calculate Accuracies....
[INFO] 2021-01-15 23:13:14 > Calculate Accuracies....
[INFO] 2021-01-15 23:13:15 > F_8 score (Step: 76000, Using valid images): 0.6150175851776171
[INFO] 2021-01-15 23:13:15 > F_1/8 score (Step: 76000, Using valid images): 0.27927807064753646
[INFO] 2021-01-15 23:13:15 > FID score (Step: 76000, Using valid moments): 173.3044034695027
[INFO] 2021-01-15 23:13:15 > Inception score (Step: 76000, 10000 generated images): 4.258595943450928
[INFO] 2021-01-15 23:13:15 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 23:13:16 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 23:14:06 > Step:   76100 Progress: 76.1% Elapsed: 11:13:55 temperature: no ada_p: No Discriminator_loss: 0.153926 Generator_loss: 3.48316 
[INFO] 2021-01-15 23:14:55 > Step:   76200 Progress: 76.2% Elapsed: 11:14:44 temperature: no ada_p: No Discriminator_loss: 0.393046 Generator_loss: 1.98202 
[INFO] 2021-01-15 23:15:44 > Step:   76300 Progress: 76.3% Elapsed: 11:15:33 temperature: no ada_p: No Discriminator_loss: 0.126541 Generator_loss: 3.53502 
[INFO] 2021-01-15 23:16:33 > Step:   76400 Progress: 76.4% Elapsed: 11:16:21 temperature: no ada_p: No Discriminator_loss: 0.50777 Generator_loss: 3.50841 
[INFO] 2021-01-15 23:17:22 > Step:   76500 Progress: 76.5% Elapsed: 11:17:11 temperature: no ada_p: No Discriminator_loss: 0.111246 Generator_loss: 4.36219 
[INFO] 2021-01-15 23:18:11 > Step:   76600 Progress: 76.6% Elapsed: 11:18:00 temperature: no ada_p: No Discriminator_loss: 0.09422 Generator_loss: 3.32077 
[INFO] 2021-01-15 23:19:00 > Step:   76700 Progress: 76.7% Elapsed: 11:18:49 temperature: no ada_p: No Discriminator_loss: 0.365446 Generator_loss: 3.85434 
[INFO] 2021-01-15 23:19:49 > Step:   76800 Progress: 76.8% Elapsed: 11:19:38 temperature: no ada_p: No Discriminator_loss: 0.0799647 Generator_loss: 2.05697 
[INFO] 2021-01-15 23:20:39 > Step:   76900 Progress: 76.9% Elapsed: 11:20:28 temperature: no ada_p: No Discriminator_loss: 0.143697 Generator_loss: 2.74416 
[INFO] 2021-01-15 23:21:28 > Step:   77000 Progress: 77.0% Elapsed: 11:21:17 temperature: no ada_p: No Discriminator_loss: 0.335883 Generator_loss: 4.31858 
[INFO] 2021-01-15 23:22:17 > Step:   77100 Progress: 77.1% Elapsed: 11:22:06 temperature: no ada_p: No Discriminator_loss: 0.170058 Generator_loss: 3.40946 
[INFO] 2021-01-15 23:23:06 > Step:   77200 Progress: 77.2% Elapsed: 11:22:54 temperature: no ada_p: No Discriminator_loss: 0.226115 Generator_loss: 2.70235 
[INFO] 2021-01-15 23:23:55 > Step:   77300 Progress: 77.3% Elapsed: 11:23:44 temperature: no ada_p: No Discriminator_loss: 0.989974 Generator_loss: 3.66825 
[INFO] 2021-01-15 23:24:44 > Step:   77400 Progress: 77.4% Elapsed: 11:24:33 temperature: no ada_p: No Discriminator_loss: 0.803527 Generator_loss: 4.92722 
[INFO] 2021-01-15 23:25:33 > Step:   77500 Progress: 77.5% Elapsed: 11:25:22 temperature: no ada_p: No Discriminator_loss: 0.143159 Generator_loss: 3.32103 
[INFO] 2021-01-15 23:26:22 > Step:   77600 Progress: 77.6% Elapsed: 11:26:11 temperature: no ada_p: No Discriminator_loss: 0.105871 Generator_loss: 2.21395 
[INFO] 2021-01-15 23:27:12 > Step:   77700 Progress: 77.7% Elapsed: 11:27:00 temperature: no ada_p: No Discriminator_loss: 0.465177 Generator_loss: 5.21744 
[INFO] 2021-01-15 23:28:01 > Step:   77800 Progress: 77.8% Elapsed: 11:27:49 temperature: no ada_p: No Discriminator_loss: 0.138013 Generator_loss: 3.48656 
[INFO] 2021-01-15 23:28:50 > Step:   77900 Progress: 77.9% Elapsed: 11:28:38 temperature: no ada_p: No Discriminator_loss: 0.198367 Generator_loss: 2.69018 
[INFO] 2021-01-15 23:29:39 > Step:   78000 Progress: 78.0% Elapsed: 11:29:27 temperature: no ada_p: No Discriminator_loss: 0.538065 Generator_loss: 4.88713 
[INFO] 2021-01-15 23:29:39 > Start Evaluation (78000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 23:29:39 > Calculating FID Score....
[INFO] 2021-01-15 23:29:59 > Calculating Inception Score....
[INFO] 2021-01-15 23:30:12 > Calculate F_beta Score....
[INFO] 2021-01-15 23:30:50 > Calculate Accuracies....
[INFO] 2021-01-15 23:30:56 > Calculate Accuracies....
[INFO] 2021-01-15 23:30:58 > F_8 score (Step: 78000, Using valid images): 0.56047386226524
[INFO] 2021-01-15 23:30:58 > F_1/8 score (Step: 78000, Using valid images): 0.4051369525751884
[INFO] 2021-01-15 23:30:58 > FID score (Step: 78000, Using valid moments): 155.71627685511106
[INFO] 2021-01-15 23:30:58 > Inception score (Step: 78000, 10000 generated images): 5.421460151672363
[INFO] 2021-01-15 23:30:58 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 23:30:59 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 23:31:49 > Step:   78100 Progress: 78.1% Elapsed: 11:31:37 temperature: no ada_p: No Discriminator_loss: 0.0962337 Generator_loss: 2.96634 
[INFO] 2021-01-15 23:32:37 > Step:   78200 Progress: 78.2% Elapsed: 11:32:26 temperature: no ada_p: No Discriminator_loss: 0.250313 Generator_loss: 3.94026 
[INFO] 2021-01-15 23:33:26 > Step:   78300 Progress: 78.3% Elapsed: 11:33:15 temperature: no ada_p: No Discriminator_loss: 0.1611 Generator_loss: 3.57344 
[INFO] 2021-01-15 23:34:16 > Step:   78400 Progress: 78.4% Elapsed: 11:34:05 temperature: no ada_p: No Discriminator_loss: 0.445017 Generator_loss: 3.42947 
[INFO] 2021-01-15 23:35:05 > Step:   78500 Progress: 78.5% Elapsed: 11:34:54 temperature: no ada_p: No Discriminator_loss: 0.109923 Generator_loss: 3.10677 
[INFO] 2021-01-15 23:35:54 > Step:   78600 Progress: 78.6% Elapsed: 11:35:43 temperature: no ada_p: No Discriminator_loss: 0.285879 Generator_loss: 2.58635 
[INFO] 2021-01-15 23:36:43 > Step:   78700 Progress: 78.7% Elapsed: 11:36:32 temperature: no ada_p: No Discriminator_loss: 0.231697 Generator_loss: 3.30413 
[INFO] 2021-01-15 23:37:32 > Step:   78800 Progress: 78.8% Elapsed: 11:37:21 temperature: no ada_p: No Discriminator_loss: 0.143995 Generator_loss: 3.50495 
[INFO] 2021-01-15 23:38:21 > Step:   78900 Progress: 78.9% Elapsed: 11:38:10 temperature: no ada_p: No Discriminator_loss: 0.344568 Generator_loss: 4.17607 
[INFO] 2021-01-15 23:39:10 > Step:   79000 Progress: 79.0% Elapsed: 11:38:59 temperature: no ada_p: No Discriminator_loss: 0.461497 Generator_loss: 5.69009 
[INFO] 2021-01-15 23:39:59 > Step:   79100 Progress: 79.1% Elapsed: 11:39:48 temperature: no ada_p: No Discriminator_loss: 0.291101 Generator_loss: 3.63705 
[INFO] 2021-01-15 23:40:49 > Step:   79200 Progress: 79.2% Elapsed: 11:40:38 temperature: no ada_p: No Discriminator_loss: 0.101577 Generator_loss: 2.8908 
[INFO] 2021-01-15 23:41:38 > Step:   79300 Progress: 79.3% Elapsed: 11:41:26 temperature: no ada_p: No Discriminator_loss: 0.158747 Generator_loss: 2.37983 
[INFO] 2021-01-15 23:42:27 > Step:   79400 Progress: 79.4% Elapsed: 11:42:15 temperature: no ada_p: No Discriminator_loss: 0.309426 Generator_loss: 3.84589 
[INFO] 2021-01-15 23:43:16 > Step:   79500 Progress: 79.5% Elapsed: 11:43:04 temperature: no ada_p: No Discriminator_loss: 0.115584 Generator_loss: 3.03714 
[INFO] 2021-01-15 23:44:05 > Step:   79600 Progress: 79.6% Elapsed: 11:43:54 temperature: no ada_p: No Discriminator_loss: 0.350241 Generator_loss: 3.3601 
[INFO] 2021-01-15 23:44:54 > Step:   79700 Progress: 79.7% Elapsed: 11:44:43 temperature: no ada_p: No Discriminator_loss: 0.244142 Generator_loss: 3.25393 
[INFO] 2021-01-15 23:45:43 > Step:   79800 Progress: 79.8% Elapsed: 11:45:32 temperature: no ada_p: No Discriminator_loss: 0.164021 Generator_loss: 2.38591 
[INFO] 2021-01-15 23:46:32 > Step:   79900 Progress: 79.9% Elapsed: 11:46:21 temperature: no ada_p: No Discriminator_loss: 0.403585 Generator_loss: 3.20258 
[INFO] 2021-01-15 23:47:22 > Step:   80000 Progress: 80.0% Elapsed: 11:47:11 temperature: no ada_p: No Discriminator_loss: 0.312906 Generator_loss: 2.36221 
[INFO] 2021-01-15 23:47:22 > Start Evaluation (80000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 23:47:22 > Calculating FID Score....
[INFO] 2021-01-15 23:47:42 > Calculating Inception Score....
[INFO] 2021-01-15 23:47:55 > Calculate F_beta Score....
[INFO] 2021-01-15 23:48:34 > Calculate Accuracies....
[INFO] 2021-01-15 23:48:39 > Calculate Accuracies....
[INFO] 2021-01-15 23:48:41 > F_8 score (Step: 80000, Using valid images): 0.7233484031991136
[INFO] 2021-01-15 23:48:41 > F_1/8 score (Step: 80000, Using valid images): 0.4182223419811838
[INFO] 2021-01-15 23:48:41 > FID score (Step: 80000, Using valid moments): 154.99684970557303
[INFO] 2021-01-15 23:48:41 > Inception score (Step: 80000, 10000 generated images): 5.937805652618408
[INFO] 2021-01-15 23:48:41 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-15 23:48:42 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-15 23:49:31 > Step:   80100 Progress: 80.1% Elapsed: 11:49:20 temperature: no ada_p: No Discriminator_loss: 0.512744 Generator_loss: 4.58853 
[INFO] 2021-01-15 23:50:20 > Step:   80200 Progress: 80.2% Elapsed: 11:50:09 temperature: no ada_p: No Discriminator_loss: 0.151777 Generator_loss: 3.94508 
[INFO] 2021-01-15 23:51:09 > Step:   80300 Progress: 80.3% Elapsed: 11:50:58 temperature: no ada_p: No Discriminator_loss: 0.0546321 Generator_loss: 2.78199 
[INFO] 2021-01-15 23:51:59 > Step:   80400 Progress: 80.4% Elapsed: 11:51:47 temperature: no ada_p: No Discriminator_loss: 0.0989912 Generator_loss: 3.47526 
[INFO] 2021-01-15 23:52:48 > Step:   80500 Progress: 80.5% Elapsed: 11:52:36 temperature: no ada_p: No Discriminator_loss: 0.0764211 Generator_loss: 2.38799 
[INFO] 2021-01-15 23:53:36 > Step:   80600 Progress: 80.6% Elapsed: 11:53:25 temperature: no ada_p: No Discriminator_loss: 0.179463 Generator_loss: 2.95734 
[INFO] 2021-01-15 23:54:25 > Step:   80700 Progress: 80.7% Elapsed: 11:54:14 temperature: no ada_p: No Discriminator_loss: 0.457705 Generator_loss: 3.24633 
[INFO] 2021-01-15 23:55:15 > Step:   80800 Progress: 80.8% Elapsed: 11:55:04 temperature: no ada_p: No Discriminator_loss: 0.12398 Generator_loss: 3.80237 
[INFO] 2021-01-15 23:56:04 > Step:   80900 Progress: 80.9% Elapsed: 11:55:53 temperature: no ada_p: No Discriminator_loss: 0.0952405 Generator_loss: 4.04314 
[INFO] 2021-01-15 23:56:53 > Step:   81000 Progress: 81.0% Elapsed: 11:56:42 temperature: no ada_p: No Discriminator_loss: 0.169001 Generator_loss: 2.95032 
[INFO] 2021-01-15 23:57:42 > Step:   81100 Progress: 81.1% Elapsed: 11:57:31 temperature: no ada_p: No Discriminator_loss: 0.27439 Generator_loss: 3.90433 
[INFO] 2021-01-15 23:58:32 > Step:   81200 Progress: 81.2% Elapsed: 11:58:20 temperature: no ada_p: No Discriminator_loss: 0.114415 Generator_loss: 2.63317 
[INFO] 2021-01-15 23:59:21 > Step:   81300 Progress: 81.3% Elapsed: 11:59:09 temperature: no ada_p: No Discriminator_loss: 0.14535 Generator_loss: 2.90127 
[INFO] 2021-01-16 00:00:09 > Step:   81400 Progress: 81.4% Elapsed: 11:59:58 temperature: no ada_p: No Discriminator_loss: 0.362577 Generator_loss: 2.9773 
[INFO] 2021-01-16 00:00:58 > Step:   81500 Progress: 81.5% Elapsed: 12:00:47 temperature: no ada_p: No Discriminator_loss: 0.0883936 Generator_loss: 3.4078 
[INFO] 2021-01-16 00:01:48 > Step:   81600 Progress: 81.6% Elapsed: 12:01:37 temperature: no ada_p: No Discriminator_loss: 0.0932568 Generator_loss: 2.01845 
[INFO] 2021-01-16 00:02:37 > Step:   81700 Progress: 81.7% Elapsed: 12:02:26 temperature: no ada_p: No Discriminator_loss: 0.250312 Generator_loss: 3.51589 
[INFO] 2021-01-16 00:03:26 > Step:   81800 Progress: 81.8% Elapsed: 12:03:15 temperature: no ada_p: No Discriminator_loss: 0.172205 Generator_loss: 3.06743 
[INFO] 2021-01-16 00:04:15 > Step:   81900 Progress: 81.9% Elapsed: 12:04:04 temperature: no ada_p: No Discriminator_loss: 0.568076 Generator_loss: 4.06073 
[INFO] 2021-01-16 00:05:05 > Step:   82000 Progress: 82.0% Elapsed: 12:04:53 temperature: no ada_p: No Discriminator_loss: 0.410981 Generator_loss: 3.42959 
[INFO] 2021-01-16 00:05:05 > Start Evaluation (82000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 00:05:05 > Calculating FID Score....
[INFO] 2021-01-16 00:05:25 > Calculating Inception Score....
[INFO] 2021-01-16 00:05:38 > Calculate F_beta Score....
[INFO] 2021-01-16 00:06:17 > Calculate Accuracies....
[INFO] 2021-01-16 00:06:23 > Calculate Accuracies....
[INFO] 2021-01-16 00:06:24 > F_8 score (Step: 82000, Using valid images): 0.6893863432120354
[INFO] 2021-01-16 00:06:24 > F_1/8 score (Step: 82000, Using valid images): 0.44532944892715376
[INFO] 2021-01-16 00:06:24 > FID score (Step: 82000, Using valid moments): 157.019621014216
[INFO] 2021-01-16 00:06:24 > Inception score (Step: 82000, 10000 generated images): 6.061433792114258
[INFO] 2021-01-16 00:06:24 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 00:06:26 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 00:07:14 > Step:   82100 Progress: 82.1% Elapsed: 12:07:03 temperature: no ada_p: No Discriminator_loss: 0.281246 Generator_loss: 3.76869 
[INFO] 2021-01-16 00:08:03 > Step:   82200 Progress: 82.2% Elapsed: 12:07:52 temperature: no ada_p: No Discriminator_loss: 0.170775 Generator_loss: 2.22218 
[INFO] 2021-01-16 00:08:53 > Step:   82300 Progress: 82.3% Elapsed: 12:08:42 temperature: no ada_p: No Discriminator_loss: 0.846771 Generator_loss: 6.16012 
[INFO] 2021-01-16 00:09:42 > Step:   82400 Progress: 82.4% Elapsed: 12:09:31 temperature: no ada_p: No Discriminator_loss: 0.0900512 Generator_loss: 3.60174 
[INFO] 2021-01-16 00:10:31 > Step:   82500 Progress: 82.5% Elapsed: 12:10:20 temperature: no ada_p: No Discriminator_loss: 0.23392 Generator_loss: 3.73383 
[INFO] 2021-01-16 00:11:20 > Step:   82600 Progress: 82.6% Elapsed: 12:11:09 temperature: no ada_p: No Discriminator_loss: 0.0935866 Generator_loss: 3.53462 
[INFO] 2021-01-16 00:12:09 > Step:   82700 Progress: 82.7% Elapsed: 12:11:58 temperature: no ada_p: No Discriminator_loss: 0.0423124 Generator_loss: 2.37244 
[INFO] 2021-01-16 00:12:58 > Step:   82800 Progress: 82.8% Elapsed: 12:12:47 temperature: no ada_p: No Discriminator_loss: 0.305357 Generator_loss: 2.45676 
[INFO] 2021-01-16 00:13:47 > Step:   82900 Progress: 82.9% Elapsed: 12:13:36 temperature: no ada_p: No Discriminator_loss: 0.0918701 Generator_loss: 2.79852 
[INFO] 2021-01-16 00:14:36 > Step:   83000 Progress: 83.0% Elapsed: 12:14:25 temperature: no ada_p: No Discriminator_loss: 0.147199 Generator_loss: 3.43797 
[INFO] 2021-01-16 00:15:26 > Step:   83100 Progress: 83.1% Elapsed: 12:15:15 temperature: no ada_p: No Discriminator_loss: 0.0863647 Generator_loss: 3.90161 
[INFO] 2021-01-16 00:16:15 > Step:   83200 Progress: 83.2% Elapsed: 12:16:04 temperature: no ada_p: No Discriminator_loss: 0.158351 Generator_loss: 3.7787 
[INFO] 2021-01-16 00:17:04 > Step:   83300 Progress: 83.3% Elapsed: 12:16:53 temperature: no ada_p: No Discriminator_loss: 0.268745 Generator_loss: 3.80496 
[INFO] 2021-01-16 00:17:53 > Step:   83400 Progress: 83.4% Elapsed: 12:17:42 temperature: no ada_p: No Discriminator_loss: 0.19822 Generator_loss: 3.41418 
[INFO] 2021-01-16 00:18:42 > Step:   83500 Progress: 83.5% Elapsed: 12:18:31 temperature: no ada_p: No Discriminator_loss: 0.864869 Generator_loss: 6.58101 
[INFO] 2021-01-16 00:19:31 > Step:   83600 Progress: 83.6% Elapsed: 12:19:20 temperature: no ada_p: No Discriminator_loss: 0.250092 Generator_loss: 3.12995 
[INFO] 2021-01-16 00:20:20 > Step:   83700 Progress: 83.7% Elapsed: 12:20:09 temperature: no ada_p: No Discriminator_loss: 0.606624 Generator_loss: 1.0669 
[INFO] 2021-01-16 00:21:09 > Step:   83800 Progress: 83.8% Elapsed: 12:20:58 temperature: no ada_p: No Discriminator_loss: 0.888154 Generator_loss: -0.762288 
[INFO] 2021-01-16 00:21:59 > Step:   83900 Progress: 83.9% Elapsed: 12:21:48 temperature: no ada_p: No Discriminator_loss: 0.0961254 Generator_loss: 2.81955 
[INFO] 2021-01-16 00:22:48 > Step:   84000 Progress: 84.0% Elapsed: 12:22:37 temperature: no ada_p: No Discriminator_loss: 0.288633 Generator_loss: 2.59467 
[INFO] 2021-01-16 00:22:48 > Start Evaluation (84000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 00:22:48 > Calculating FID Score....
[INFO] 2021-01-16 00:23:08 > Calculating Inception Score....
[INFO] 2021-01-16 00:23:21 > Calculate F_beta Score....
[INFO] 2021-01-16 00:24:00 > Calculate Accuracies....
[INFO] 2021-01-16 00:24:05 > Calculate Accuracies....
[INFO] 2021-01-16 00:24:07 > F_8 score (Step: 84000, Using valid images): 0.6737149392619056
[INFO] 2021-01-16 00:24:07 > F_1/8 score (Step: 84000, Using valid images): 0.4340388930665223
[INFO] 2021-01-16 00:24:07 > FID score (Step: 84000, Using valid moments): 163.86422238756649
[INFO] 2021-01-16 00:24:07 > Inception score (Step: 84000, 10000 generated images): 5.7679009437561035
[INFO] 2021-01-16 00:24:07 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 00:24:08 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 00:24:57 > Step:   84100 Progress: 84.1% Elapsed: 12:24:46 temperature: no ada_p: No Discriminator_loss: 0.178764 Generator_loss: 3.77335 
[INFO] 2021-01-16 00:25:46 > Step:   84200 Progress: 84.2% Elapsed: 12:25:35 temperature: no ada_p: No Discriminator_loss: 0.303591 Generator_loss: 1.64352 
[INFO] 2021-01-16 00:26:35 > Step:   84300 Progress: 84.3% Elapsed: 12:26:24 temperature: no ada_p: No Discriminator_loss: 8.12844 Generator_loss: 3.46375 
[INFO] 2021-01-16 00:27:24 > Step:   84400 Progress: 84.4% Elapsed: 12:27:13 temperature: no ada_p: No Discriminator_loss: 0.0890171 Generator_loss: 2.6412 
[INFO] 2021-01-16 00:28:13 > Step:   84500 Progress: 84.5% Elapsed: 12:28:02 temperature: no ada_p: No Discriminator_loss: 0.389348 Generator_loss: 2.35883 
[INFO] 2021-01-16 00:29:02 > Step:   84600 Progress: 84.6% Elapsed: 12:28:51 temperature: no ada_p: No Discriminator_loss: 0.0841712 Generator_loss: 2.90158 
[INFO] 2021-01-16 00:29:52 > Step:   84700 Progress: 84.7% Elapsed: 12:29:41 temperature: no ada_p: No Discriminator_loss: 1.90207 Generator_loss: 3.69791 
[INFO] 2021-01-16 00:30:41 > Step:   84800 Progress: 84.8% Elapsed: 12:30:30 temperature: no ada_p: No Discriminator_loss: 0.138889 Generator_loss: 3.40624 
[INFO] 2021-01-16 00:31:30 > Step:   84900 Progress: 84.9% Elapsed: 12:31:19 temperature: no ada_p: No Discriminator_loss: 0.249522 Generator_loss: 1.62771 
[INFO] 2021-01-16 00:32:19 > Step:   85000 Progress: 85.0% Elapsed: 12:32:08 temperature: no ada_p: No Discriminator_loss: 0.484066 Generator_loss: 2.28873 
[INFO] 2021-01-16 00:33:08 > Step:   85100 Progress: 85.1% Elapsed: 12:32:57 temperature: no ada_p: No Discriminator_loss: 0.117453 Generator_loss: 2.94136 
[INFO] 2021-01-16 00:33:57 > Step:   85200 Progress: 85.2% Elapsed: 12:33:46 temperature: no ada_p: No Discriminator_loss: 0.11953 Generator_loss: 2.9419 
[INFO] 2021-01-16 00:34:46 > Step:   85300 Progress: 85.3% Elapsed: 12:34:35 temperature: no ada_p: No Discriminator_loss: 0.0758718 Generator_loss: 2.78007 
[INFO] 2021-01-16 00:35:35 > Step:   85400 Progress: 85.4% Elapsed: 12:35:24 temperature: no ada_p: No Discriminator_loss: 0.0760446 Generator_loss: 3.72947 
[INFO] 2021-01-16 00:36:25 > Step:   85500 Progress: 85.5% Elapsed: 12:36:14 temperature: no ada_p: No Discriminator_loss: 0.0534468 Generator_loss: 2.92273 
[INFO] 2021-01-16 00:37:14 > Step:   85600 Progress: 85.6% Elapsed: 12:37:02 temperature: no ada_p: No Discriminator_loss: 0.145503 Generator_loss: 2.87897 
[INFO] 2021-01-16 00:38:03 > Step:   85700 Progress: 85.7% Elapsed: 12:37:51 temperature: no ada_p: No Discriminator_loss: 0.0660721 Generator_loss: 2.78171 
[INFO] 2021-01-16 00:38:52 > Step:   85800 Progress: 85.8% Elapsed: 12:38:40 temperature: no ada_p: No Discriminator_loss: 0.081525 Generator_loss: 3.05543 
[INFO] 2021-01-16 00:39:41 > Step:   85900 Progress: 85.9% Elapsed: 12:39:30 temperature: no ada_p: No Discriminator_loss: 0.101935 Generator_loss: 2.31443 
[INFO] 2021-01-16 00:40:30 > Step:   86000 Progress: 86.0% Elapsed: 12:40:19 temperature: no ada_p: No Discriminator_loss: 0.0820063 Generator_loss: 2.55336 
[INFO] 2021-01-16 00:40:30 > Start Evaluation (86000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 00:40:30 > Calculating FID Score....
[INFO] 2021-01-16 00:40:51 > Calculating Inception Score....
[INFO] 2021-01-16 00:41:04 > Calculate F_beta Score....
[INFO] 2021-01-16 00:41:42 > Calculate Accuracies....
[INFO] 2021-01-16 00:41:48 > Calculate Accuracies....
[INFO] 2021-01-16 00:41:49 > F_8 score (Step: 86000, Using valid images): 0.7238773017886616
[INFO] 2021-01-16 00:41:50 > F_1/8 score (Step: 86000, Using valid images): 0.4061275614365952
[INFO] 2021-01-16 00:41:50 > FID score (Step: 86000, Using valid moments): 158.2897284122584
[INFO] 2021-01-16 00:41:50 > Inception score (Step: 86000, 10000 generated images): 5.514692306518555
[INFO] 2021-01-16 00:41:50 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 00:41:51 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 00:42:40 > Step:   86100 Progress: 86.1% Elapsed: 12:42:28 temperature: no ada_p: No Discriminator_loss: 0.150283 Generator_loss: 3.08408 
[INFO] 2021-01-16 00:43:29 > Step:   86200 Progress: 86.2% Elapsed: 12:43:18 temperature: no ada_p: No Discriminator_loss: 0.141653 Generator_loss: 2.60433 
[INFO] 2021-01-16 00:44:18 > Step:   86300 Progress: 86.3% Elapsed: 12:44:07 temperature: no ada_p: No Discriminator_loss: 0.230666 Generator_loss: 3.91248 
[INFO] 2021-01-16 00:45:07 > Step:   86400 Progress: 86.4% Elapsed: 12:44:56 temperature: no ada_p: No Discriminator_loss: 0.259107 Generator_loss: 2.18208 
[INFO] 2021-01-16 00:45:56 > Step:   86500 Progress: 86.5% Elapsed: 12:45:45 temperature: no ada_p: No Discriminator_loss: 0.209689 Generator_loss: 3.54534 
[INFO] 2021-01-16 00:46:46 > Step:   86600 Progress: 86.6% Elapsed: 12:46:34 temperature: no ada_p: No Discriminator_loss: 0.295645 Generator_loss: 3.47554 
[INFO] 2021-01-16 00:47:34 > Step:   86700 Progress: 86.7% Elapsed: 12:47:23 temperature: no ada_p: No Discriminator_loss: 0.0662072 Generator_loss: 2.75823 
[INFO] 2021-01-16 00:48:23 > Step:   86800 Progress: 86.8% Elapsed: 12:48:12 temperature: no ada_p: No Discriminator_loss: 0.160332 Generator_loss: 2.81067 
[INFO] 2021-01-16 00:49:12 > Step:   86900 Progress: 86.9% Elapsed: 12:49:01 temperature: no ada_p: No Discriminator_loss: 0.0676309 Generator_loss: 2.32316 
[INFO] 2021-01-16 00:50:02 > Step:   87000 Progress: 87.0% Elapsed: 12:49:51 temperature: no ada_p: No Discriminator_loss: 0.109456 Generator_loss: 1.96027 
[INFO] 2021-01-16 00:50:51 > Step:   87100 Progress: 87.1% Elapsed: 12:50:40 temperature: no ada_p: No Discriminator_loss: 0.0821742 Generator_loss: 3.07962 
[INFO] 2021-01-16 00:51:40 > Step:   87200 Progress: 87.2% Elapsed: 12:51:29 temperature: no ada_p: No Discriminator_loss: 0.101877 Generator_loss: 2.41725 
[INFO] 2021-01-16 00:52:29 > Step:   87300 Progress: 87.3% Elapsed: 12:52:18 temperature: no ada_p: No Discriminator_loss: 0.0934312 Generator_loss: 2.43292 
[INFO] 2021-01-16 00:53:18 > Step:   87400 Progress: 87.4% Elapsed: 12:53:07 temperature: no ada_p: No Discriminator_loss: 0.0743072 Generator_loss: 2.24639 
[INFO] 2021-01-16 00:54:07 > Step:   87500 Progress: 87.5% Elapsed: 12:53:56 temperature: no ada_p: No Discriminator_loss: 0.204934 Generator_loss: 3.28346 
[INFO] 2021-01-16 00:54:56 > Step:   87600 Progress: 87.6% Elapsed: 12:54:45 temperature: no ada_p: No Discriminator_loss: 0.0490075 Generator_loss: 2.42272 
[INFO] 2021-01-16 00:55:45 > Step:   87700 Progress: 87.7% Elapsed: 12:55:34 temperature: no ada_p: No Discriminator_loss: 0.157163 Generator_loss: 2.26334 
[INFO] 2021-01-16 00:56:35 > Step:   87800 Progress: 87.8% Elapsed: 12:56:24 temperature: no ada_p: No Discriminator_loss: 0.0699828 Generator_loss: 3.16573 
[INFO] 2021-01-16 00:57:24 > Step:   87900 Progress: 87.9% Elapsed: 12:57:13 temperature: no ada_p: No Discriminator_loss: 0.0967064 Generator_loss: 3.49707 
[INFO] 2021-01-16 00:58:13 > Step:   88000 Progress: 88.0% Elapsed: 12:58:02 temperature: no ada_p: No Discriminator_loss: 0.074574 Generator_loss: 3.89545 
[INFO] 2021-01-16 00:58:13 > Start Evaluation (88000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 00:58:13 > Calculating FID Score....
[INFO] 2021-01-16 00:58:33 > Calculating Inception Score....
[INFO] 2021-01-16 00:58:46 > Calculate F_beta Score....
[INFO] 2021-01-16 00:59:24 > Calculate Accuracies....
[INFO] 2021-01-16 00:59:30 > Calculate Accuracies....
[INFO] 2021-01-16 00:59:31 > F_8 score (Step: 88000, Using valid images): 0.7937949790729927
[INFO] 2021-01-16 00:59:31 > F_1/8 score (Step: 88000, Using valid images): 0.4604148244585557
[INFO] 2021-01-16 00:59:31 > FID score (Step: 88000, Using valid moments): 163.60680638528714
[INFO] 2021-01-16 00:59:31 > Inception score (Step: 88000, 10000 generated images): 6.957261085510254
[INFO] 2021-01-16 00:59:31 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 00:59:32 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 01:00:21 > Step:   88100 Progress: 88.1% Elapsed: 13:00:10 temperature: no ada_p: No Discriminator_loss: 0.0376586 Generator_loss: 2.29358 
[INFO] 2021-01-16 01:01:11 > Step:   88200 Progress: 88.2% Elapsed: 13:01:00 temperature: no ada_p: No Discriminator_loss: 0.0671834 Generator_loss: 2.70746 
[INFO] 2021-01-16 01:02:00 > Step:   88300 Progress: 88.3% Elapsed: 13:01:49 temperature: no ada_p: No Discriminator_loss: 0.177607 Generator_loss: 2.97043 
[INFO] 2021-01-16 01:02:49 > Step:   88400 Progress: 88.4% Elapsed: 13:02:38 temperature: no ada_p: No Discriminator_loss: 0.0604484 Generator_loss: 2.33363 
[INFO] 2021-01-16 01:03:38 > Step:   88500 Progress: 88.5% Elapsed: 13:03:26 temperature: no ada_p: No Discriminator_loss: 0.0663845 Generator_loss: 2.49943 
[INFO] 2021-01-16 01:04:27 > Step:   88600 Progress: 88.6% Elapsed: 13:04:16 temperature: no ada_p: No Discriminator_loss: 0.0615152 Generator_loss: 2.70714 
[INFO] 2021-01-16 01:05:16 > Step:   88700 Progress: 88.7% Elapsed: 13:05:05 temperature: no ada_p: No Discriminator_loss: 0.179894 Generator_loss: 2.95613 
[INFO] 2021-01-16 01:06:05 > Step:   88800 Progress: 88.8% Elapsed: 13:05:54 temperature: no ada_p: No Discriminator_loss: 0.221639 Generator_loss: 2.64296 
[INFO] 2021-01-16 01:06:54 > Step:   88900 Progress: 88.9% Elapsed: 13:06:43 temperature: no ada_p: No Discriminator_loss: 0.199626 Generator_loss: 3.81768 
[INFO] 2021-01-16 01:07:44 > Step:   89000 Progress: 89.0% Elapsed: 13:07:32 temperature: no ada_p: No Discriminator_loss: 0.299901 Generator_loss: 3.75142 
[INFO] 2021-01-16 01:08:33 > Step:   89100 Progress: 89.1% Elapsed: 13:08:21 temperature: no ada_p: No Discriminator_loss: 0.134537 Generator_loss: 2.16137 
[INFO] 2021-01-16 01:09:21 > Step:   89200 Progress: 89.2% Elapsed: 13:09:10 temperature: no ada_p: No Discriminator_loss: 0.170407 Generator_loss: 4.17365 
[INFO] 2021-01-16 01:10:10 > Step:   89300 Progress: 89.3% Elapsed: 13:09:59 temperature: no ada_p: No Discriminator_loss: 0.110115 Generator_loss: 4.33191 
[INFO] 2021-01-16 01:11:00 > Step:   89400 Progress: 89.4% Elapsed: 13:10:49 temperature: no ada_p: No Discriminator_loss: 0.155499 Generator_loss: 2.80569 
[INFO] 2021-01-16 01:11:49 > Step:   89500 Progress: 89.5% Elapsed: 13:11:38 temperature: no ada_p: No Discriminator_loss: 0.218238 Generator_loss: 3.17622 
[INFO] 2021-01-16 01:12:38 > Step:   89600 Progress: 89.6% Elapsed: 13:12:27 temperature: no ada_p: No Discriminator_loss: 1.09217 Generator_loss: 3.09203 
[INFO] 2021-01-16 01:13:27 > Step:   89700 Progress: 89.7% Elapsed: 13:13:16 temperature: no ada_p: No Discriminator_loss: 0.329965 Generator_loss: 2.8555 
[INFO] 2021-01-16 01:14:17 > Step:   89800 Progress: 89.8% Elapsed: 13:14:05 temperature: no ada_p: No Discriminator_loss: 0.192886 Generator_loss: 2.95678 
[INFO] 2021-01-16 01:15:06 > Step:   89900 Progress: 89.9% Elapsed: 13:14:54 temperature: no ada_p: No Discriminator_loss: 0.133849 Generator_loss: 2.08549 
[INFO] 2021-01-16 01:15:55 > Step:   90000 Progress: 90.0% Elapsed: 13:15:43 temperature: no ada_p: No Discriminator_loss: 0.183439 Generator_loss: 1.86647 
[INFO] 2021-01-16 01:15:55 > Start Evaluation (90000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 01:15:55 > Calculating FID Score....
[INFO] 2021-01-16 01:16:15 > Calculating Inception Score....
[INFO] 2021-01-16 01:16:28 > Calculate F_beta Score....
[INFO] 2021-01-16 01:17:07 > Calculate Accuracies....
[INFO] 2021-01-16 01:17:12 > Calculate Accuracies....
[INFO] 2021-01-16 01:17:14 > F_8 score (Step: 90000, Using valid images): 0.5940397182238737
[INFO] 2021-01-16 01:17:14 > F_1/8 score (Step: 90000, Using valid images): 0.4147160082747739
[INFO] 2021-01-16 01:17:14 > FID score (Step: 90000, Using valid moments): 175.09448048084255
[INFO] 2021-01-16 01:17:14 > Inception score (Step: 90000, 10000 generated images): 5.925378322601318
[INFO] 2021-01-16 01:17:14 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 01:17:15 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 01:18:04 > Step:   90100 Progress: 90.1% Elapsed: 13:17:53 temperature: no ada_p: No Discriminator_loss: 0.096974 Generator_loss: 2.03155 
[INFO] 2021-01-16 01:18:53 > Step:   90200 Progress: 90.2% Elapsed: 13:18:42 temperature: no ada_p: No Discriminator_loss: 0.0847995 Generator_loss: 2.81326 
[INFO] 2021-01-16 01:19:42 > Step:   90300 Progress: 90.3% Elapsed: 13:19:31 temperature: no ada_p: No Discriminator_loss: 0.0635402 Generator_loss: 3.18759 
[INFO] 2021-01-16 01:20:31 > Step:   90400 Progress: 90.4% Elapsed: 13:20:20 temperature: no ada_p: No Discriminator_loss: 0.109375 Generator_loss: 3.79635 
[INFO] 2021-01-16 01:21:21 > Step:   90500 Progress: 90.5% Elapsed: 13:21:10 temperature: no ada_p: No Discriminator_loss: 0.0986625 Generator_loss: 3.35179 
[INFO] 2021-01-16 01:22:10 > Step:   90600 Progress: 90.6% Elapsed: 13:21:59 temperature: no ada_p: No Discriminator_loss: 0.109476 Generator_loss: 2.50531 
[INFO] 2021-01-16 01:22:59 > Step:   90700 Progress: 90.7% Elapsed: 13:22:48 temperature: no ada_p: No Discriminator_loss: 0.109444 Generator_loss: 2.83169 
[INFO] 2021-01-16 01:23:48 > Step:   90800 Progress: 90.8% Elapsed: 13:23:37 temperature: no ada_p: No Discriminator_loss: 0.07708 Generator_loss: 2.95845 
[INFO] 2021-01-16 01:24:37 > Step:   90900 Progress: 90.9% Elapsed: 13:24:26 temperature: no ada_p: No Discriminator_loss: 0.0777715 Generator_loss: 2.27753 
[INFO] 2021-01-16 01:25:26 > Step:   91000 Progress: 91.0% Elapsed: 13:25:15 temperature: no ada_p: No Discriminator_loss: 0.153959 Generator_loss: 2.9519 
[INFO] 2021-01-16 01:26:15 > Step:   91100 Progress: 91.1% Elapsed: 13:26:04 temperature: no ada_p: No Discriminator_loss: 0.0833592 Generator_loss: 2.41192 
[INFO] 2021-01-16 01:27:04 > Step:   91200 Progress: 91.2% Elapsed: 13:26:53 temperature: no ada_p: No Discriminator_loss: 0.209434 Generator_loss: 2.91237 
[INFO] 2021-01-16 01:27:54 > Step:   91300 Progress: 91.3% Elapsed: 13:27:43 temperature: no ada_p: No Discriminator_loss: 0.0508962 Generator_loss: 2.26797 
[INFO] 2021-01-16 01:28:43 > Step:   91400 Progress: 91.4% Elapsed: 13:28:31 temperature: no ada_p: No Discriminator_loss: 0.225551 Generator_loss: 2.95324 
[INFO] 2021-01-16 01:29:32 > Step:   91500 Progress: 91.5% Elapsed: 13:29:20 temperature: no ada_p: No Discriminator_loss: 0.524136 Generator_loss: 0.0274159 
[INFO] 2021-01-16 01:30:21 > Step:   91600 Progress: 91.6% Elapsed: 13:30:09 temperature: no ada_p: No Discriminator_loss: 0.0858586 Generator_loss: 2.78071 
[INFO] 2021-01-16 01:31:10 > Step:   91700 Progress: 91.7% Elapsed: 13:30:59 temperature: no ada_p: No Discriminator_loss: 0.0862326 Generator_loss: 2.90996 
[INFO] 2021-01-16 01:31:59 > Step:   91800 Progress: 91.8% Elapsed: 13:31:48 temperature: no ada_p: No Discriminator_loss: 0.074991 Generator_loss: 3.34872 
[INFO] 2021-01-16 01:32:48 > Step:   91900 Progress: 91.9% Elapsed: 13:32:37 temperature: no ada_p: No Discriminator_loss: 0.119243 Generator_loss: 3.82758 
[INFO] 2021-01-16 01:33:37 > Step:   92000 Progress: 92.0% Elapsed: 13:33:26 temperature: no ada_p: No Discriminator_loss: 0.223052 Generator_loss: 3.49479 
[INFO] 2021-01-16 01:33:37 > Start Evaluation (92000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 01:33:37 > Calculating FID Score....
[INFO] 2021-01-16 01:33:58 > Calculating Inception Score....
[INFO] 2021-01-16 01:34:11 > Calculate F_beta Score....
[INFO] 2021-01-16 01:34:49 > Calculate Accuracies....
[INFO] 2021-01-16 01:34:55 > Calculate Accuracies....
[INFO] 2021-01-16 01:34:57 > F_8 score (Step: 92000, Using valid images): 0.7172943996630586
[INFO] 2021-01-16 01:34:57 > F_1/8 score (Step: 92000, Using valid images): 0.4324829194691332
[INFO] 2021-01-16 01:34:57 > FID score (Step: 92000, Using valid moments): 173.84686664960816
[INFO] 2021-01-16 01:34:57 > Inception score (Step: 92000, 10000 generated images): 6.376831531524658
[INFO] 2021-01-16 01:34:57 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 01:34:58 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 01:35:47 > Step:   92100 Progress: 92.1% Elapsed: 13:35:36 temperature: no ada_p: No Discriminator_loss: 0.0659761 Generator_loss: 2.25432 
[INFO] 2021-01-16 01:36:36 > Step:   92200 Progress: 92.2% Elapsed: 13:36:25 temperature: no ada_p: No Discriminator_loss: 0.0805037 Generator_loss: 2.79991 
[INFO] 2021-01-16 01:37:25 > Step:   92300 Progress: 92.3% Elapsed: 13:37:14 temperature: no ada_p: No Discriminator_loss: 0.135252 Generator_loss: 3.32894 
[INFO] 2021-01-16 01:38:14 > Step:   92400 Progress: 92.4% Elapsed: 13:38:03 temperature: no ada_p: No Discriminator_loss: 0.145367 Generator_loss: 2.44717 
[INFO] 2021-01-16 01:39:04 > Step:   92500 Progress: 92.5% Elapsed: 13:38:52 temperature: no ada_p: No Discriminator_loss: 0.279669 Generator_loss: 2.74686 
[INFO] 2021-01-16 01:39:52 > Step:   92600 Progress: 92.6% Elapsed: 13:39:41 temperature: no ada_p: No Discriminator_loss: 0.10288 Generator_loss: 3.2593 
[INFO] 2021-01-16 01:40:41 > Step:   92700 Progress: 92.7% Elapsed: 13:40:30 temperature: no ada_p: No Discriminator_loss: 0.186461 Generator_loss: 2.90679 
[INFO] 2021-01-16 01:41:30 > Step:   92800 Progress: 92.8% Elapsed: 13:41:19 temperature: no ada_p: No Discriminator_loss: 0.0497029 Generator_loss: 3.19665 
[INFO] 2021-01-16 01:42:20 > Step:   92900 Progress: 92.9% Elapsed: 13:42:09 temperature: no ada_p: No Discriminator_loss: 0.098747 Generator_loss: 2.85043 
[INFO] 2021-01-16 01:43:09 > Step:   93000 Progress: 93.0% Elapsed: 13:42:58 temperature: no ada_p: No Discriminator_loss: 0.0708829 Generator_loss: 3.92534 
[INFO] 2021-01-16 01:43:58 > Step:   93100 Progress: 93.1% Elapsed: 13:43:47 temperature: no ada_p: No Discriminator_loss: 0.195272 Generator_loss: 3.53963 
[INFO] 2021-01-16 01:44:47 > Step:   93200 Progress: 93.2% Elapsed: 13:44:36 temperature: no ada_p: No Discriminator_loss: 0.228943 Generator_loss: 3.42588 
[INFO] 2021-01-16 01:45:36 > Step:   93300 Progress: 93.3% Elapsed: 13:45:25 temperature: no ada_p: No Discriminator_loss: 0.129289 Generator_loss: 3.87144 
[INFO] 2021-01-16 01:46:25 > Step:   93400 Progress: 93.4% Elapsed: 13:46:14 temperature: no ada_p: No Discriminator_loss: 0.791675 Generator_loss: 1.21851 
[INFO] 2021-01-16 01:47:14 > Step:   93500 Progress: 93.5% Elapsed: 13:47:03 temperature: no ada_p: No Discriminator_loss: 0.087078 Generator_loss: 1.7751 
[INFO] 2021-01-16 01:48:03 > Step:   93600 Progress: 93.6% Elapsed: 13:47:52 temperature: no ada_p: No Discriminator_loss: 0.0889533 Generator_loss: 2.98072 
[INFO] 2021-01-16 01:48:53 > Step:   93700 Progress: 93.7% Elapsed: 13:48:42 temperature: no ada_p: No Discriminator_loss: 0.0219398 Generator_loss: 2.90467 
[INFO] 2021-01-16 01:49:42 > Step:   93800 Progress: 93.8% Elapsed: 13:49:31 temperature: no ada_p: No Discriminator_loss: 0.139425 Generator_loss: 2.58548 
[INFO] 2021-01-16 01:50:31 > Step:   93900 Progress: 93.9% Elapsed: 13:50:20 temperature: no ada_p: No Discriminator_loss: 0.548966 Generator_loss: 3.32798 
[INFO] 2021-01-16 01:51:21 > Step:   94000 Progress: 94.0% Elapsed: 13:51:10 temperature: no ada_p: No Discriminator_loss: 0.104041 Generator_loss: 3.29446 
[INFO] 2021-01-16 01:51:21 > Start Evaluation (94000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 01:51:21 > Calculating FID Score....
[INFO] 2021-01-16 01:51:42 > Calculating Inception Score....
[INFO] 2021-01-16 01:51:54 > Calculate F_beta Score....
[INFO] 2021-01-16 01:52:33 > Calculate Accuracies....
[INFO] 2021-01-16 01:52:38 > Calculate Accuracies....
[INFO] 2021-01-16 01:52:40 > F_8 score (Step: 94000, Using valid images): 0.7378119757049003
[INFO] 2021-01-16 01:52:40 > F_1/8 score (Step: 94000, Using valid images): 0.4397812971574536
[INFO] 2021-01-16 01:52:40 > FID score (Step: 94000, Using valid moments): 166.96685657210674
[INFO] 2021-01-16 01:52:40 > Inception score (Step: 94000, 10000 generated images): 6.874783515930176
[INFO] 2021-01-16 01:52:40 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 01:52:41 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 01:53:30 > Step:   94100 Progress: 94.1% Elapsed: 13:53:19 temperature: no ada_p: No Discriminator_loss: 0.0687139 Generator_loss: 2.97289 
[INFO] 2021-01-16 01:54:19 > Step:   94200 Progress: 94.2% Elapsed: 13:54:08 temperature: no ada_p: No Discriminator_loss: 0.124889 Generator_loss: 2.83401 
[INFO] 2021-01-16 01:55:08 > Step:   94300 Progress: 94.3% Elapsed: 13:54:56 temperature: no ada_p: No Discriminator_loss: 0.0501698 Generator_loss: 3.3089 
[INFO] 2021-01-16 01:55:57 > Step:   94400 Progress: 94.4% Elapsed: 13:55:46 temperature: no ada_p: No Discriminator_loss: 0.082345 Generator_loss: 2.45713 
[INFO] 2021-01-16 01:56:46 > Step:   94500 Progress: 94.5% Elapsed: 13:56:35 temperature: no ada_p: No Discriminator_loss: 0.0544463 Generator_loss: 1.94174 
[INFO] 2021-01-16 01:57:35 > Step:   94600 Progress: 94.6% Elapsed: 13:57:24 temperature: no ada_p: No Discriminator_loss: 0.144202 Generator_loss: 3.52821 
[INFO] 2021-01-16 01:58:24 > Step:   94700 Progress: 94.7% Elapsed: 13:58:13 temperature: no ada_p: No Discriminator_loss: 0.172734 Generator_loss: 3.70663 
[INFO] 2021-01-16 01:59:14 > Step:   94800 Progress: 94.8% Elapsed: 13:59:03 temperature: no ada_p: No Discriminator_loss: 0.173783 Generator_loss: 2.92468 
[INFO] 2021-01-16 02:00:03 > Step:   94900 Progress: 94.9% Elapsed: 13:59:52 temperature: no ada_p: No Discriminator_loss: 0.0767591 Generator_loss: 3.09762 
[INFO] 2021-01-16 02:00:52 > Step:   95000 Progress: 95.0% Elapsed: 14:00:40 temperature: no ada_p: No Discriminator_loss: 0.128827 Generator_loss: 1.74882 
[INFO] 2021-01-16 02:01:41 > Step:   95100 Progress: 95.1% Elapsed: 14:01:29 temperature: no ada_p: No Discriminator_loss: 0.097061 Generator_loss: 3.6376 
[INFO] 2021-01-16 02:02:30 > Step:   95200 Progress: 95.2% Elapsed: 14:02:19 temperature: no ada_p: No Discriminator_loss: 0.138843 Generator_loss: 2.36073 
[INFO] 2021-01-16 02:03:19 > Step:   95300 Progress: 95.3% Elapsed: 14:03:08 temperature: no ada_p: No Discriminator_loss: 0.0948335 Generator_loss: 2.44819 
[INFO] 2021-01-16 02:04:08 > Step:   95400 Progress: 95.4% Elapsed: 14:03:57 temperature: no ada_p: No Discriminator_loss: 0.359256 Generator_loss: 4.99245 
[INFO] 2021-01-16 02:04:57 > Step:   95500 Progress: 95.5% Elapsed: 14:04:46 temperature: no ada_p: No Discriminator_loss: 0.137489 Generator_loss: 2.50817 
[INFO] 2021-01-16 02:05:47 > Step:   95600 Progress: 95.6% Elapsed: 14:05:35 temperature: no ada_p: No Discriminator_loss: 0.112424 Generator_loss: 2.53727 
[INFO] 2021-01-16 02:06:35 > Step:   95700 Progress: 95.7% Elapsed: 14:06:24 temperature: no ada_p: No Discriminator_loss: 0.0776056 Generator_loss: 2.64837 
[INFO] 2021-01-16 02:07:24 > Step:   95800 Progress: 95.8% Elapsed: 14:07:13 temperature: no ada_p: No Discriminator_loss: 0.0476064 Generator_loss: 3.34302 
[INFO] 2021-01-16 02:08:13 > Step:   95900 Progress: 95.9% Elapsed: 14:08:02 temperature: no ada_p: No Discriminator_loss: 0.786645 Generator_loss: 3.16953 
[INFO] 2021-01-16 02:09:03 > Step:   96000 Progress: 96.0% Elapsed: 14:08:52 temperature: no ada_p: No Discriminator_loss: 0.0927198 Generator_loss: 3.50531 
[INFO] 2021-01-16 02:09:03 > Start Evaluation (96000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 02:09:03 > Calculating FID Score....
[INFO] 2021-01-16 02:09:24 > Calculating Inception Score....
[INFO] 2021-01-16 02:09:37 > Calculate F_beta Score....
[INFO] 2021-01-16 02:10:13 > Calculate Accuracies....
[INFO] 2021-01-16 02:10:19 > Calculate Accuracies....
[INFO] 2021-01-16 02:10:21 > F_8 score (Step: 96000, Using valid images): 0.7831051243715296
[INFO] 2021-01-16 02:10:21 > F_1/8 score (Step: 96000, Using valid images): 0.3894677712090501
[INFO] 2021-01-16 02:10:21 > FID score (Step: 96000, Using valid moments): 171.91440948644862
[INFO] 2021-01-16 02:10:21 > Inception score (Step: 96000, 10000 generated images): 5.879082202911377
[INFO] 2021-01-16 02:10:21 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 02:10:22 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 02:11:11 > Step:   96100 Progress: 96.1% Elapsed: 14:11:00 temperature: no ada_p: No Discriminator_loss: 0.0802837 Generator_loss: 4.13537 
[INFO] 2021-01-16 02:12:00 > Step:   96200 Progress: 96.2% Elapsed: 14:11:48 temperature: no ada_p: No Discriminator_loss: 0.141137 Generator_loss: 2.4559 
[INFO] 2021-01-16 02:12:49 > Step:   96300 Progress: 96.3% Elapsed: 14:12:37 temperature: no ada_p: No Discriminator_loss: 0.0907183 Generator_loss: 2.53391 
[INFO] 2021-01-16 02:13:38 > Step:   96400 Progress: 96.4% Elapsed: 14:13:27 temperature: no ada_p: No Discriminator_loss: 0.164818 Generator_loss: 2.84243 
[INFO] 2021-01-16 02:14:27 > Step:   96500 Progress: 96.5% Elapsed: 14:14:16 temperature: no ada_p: No Discriminator_loss: 0.302389 Generator_loss: 3.81002 
[INFO] 2021-01-16 02:15:16 > Step:   96600 Progress: 96.6% Elapsed: 14:15:05 temperature: no ada_p: No Discriminator_loss: 0.124962 Generator_loss: 4.2144 
[INFO] 2021-01-16 02:16:05 > Step:   96700 Progress: 96.7% Elapsed: 14:15:54 temperature: no ada_p: No Discriminator_loss: 0.0833812 Generator_loss: 2.93221 
[INFO] 2021-01-16 02:16:55 > Step:   96800 Progress: 96.8% Elapsed: 14:16:43 temperature: no ada_p: No Discriminator_loss: 0.0586342 Generator_loss: 2.15774 
[INFO] 2021-01-16 02:17:43 > Step:   96900 Progress: 96.9% Elapsed: 14:17:32 temperature: no ada_p: No Discriminator_loss: 0.07266 Generator_loss: 3.6017 
[INFO] 2021-01-16 02:18:32 > Step:   97000 Progress: 97.0% Elapsed: 14:18:21 temperature: no ada_p: No Discriminator_loss: 0.247443 Generator_loss: 3.42838 
[INFO] 2021-01-16 02:19:21 > Step:   97100 Progress: 97.1% Elapsed: 14:19:10 temperature: no ada_p: No Discriminator_loss: 0.0873681 Generator_loss: 3.32672 
[INFO] 2021-01-16 02:20:11 > Step:   97200 Progress: 97.2% Elapsed: 14:20:00 temperature: no ada_p: No Discriminator_loss: 0.0479931 Generator_loss: 2.40139 
[INFO] 2021-01-16 02:21:00 > Step:   97300 Progress: 97.3% Elapsed: 14:20:49 temperature: no ada_p: No Discriminator_loss: 0.0987826 Generator_loss: 1.70088 
[INFO] 2021-01-16 02:21:49 > Step:   97400 Progress: 97.4% Elapsed: 14:21:38 temperature: no ada_p: No Discriminator_loss: 0.126978 Generator_loss: 2.1995 
[INFO] 2021-01-16 02:22:38 > Step:   97500 Progress: 97.5% Elapsed: 14:22:27 temperature: no ada_p: No Discriminator_loss: 0.115351 Generator_loss: 3.30923 
[INFO] 2021-01-16 02:23:28 > Step:   97600 Progress: 97.6% Elapsed: 14:23:16 temperature: no ada_p: No Discriminator_loss: 0.124874 Generator_loss: 1.97743 
[INFO] 2021-01-16 02:24:16 > Step:   97700 Progress: 97.7% Elapsed: 14:24:05 temperature: no ada_p: No Discriminator_loss: 0.174164 Generator_loss: 2.60339 
[INFO] 2021-01-16 02:25:05 > Step:   97800 Progress: 97.8% Elapsed: 14:24:54 temperature: no ada_p: No Discriminator_loss: 0.106017 Generator_loss: 2.0789 
[INFO] 2021-01-16 02:25:55 > Step:   97900 Progress: 97.9% Elapsed: 14:25:44 temperature: no ada_p: No Discriminator_loss: 0.229902 Generator_loss: 3.25757 
[INFO] 2021-01-16 02:26:44 > Step:   98000 Progress: 98.0% Elapsed: 14:26:33 temperature: no ada_p: No Discriminator_loss: 0.34119 Generator_loss: 3.53052 
[INFO] 2021-01-16 02:26:44 > Start Evaluation (98000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 02:26:44 > Calculating FID Score....
[INFO] 2021-01-16 02:27:05 > Calculating Inception Score....
[INFO] 2021-01-16 02:27:18 > Calculate F_beta Score....
[INFO] 2021-01-16 02:27:55 > Calculate Accuracies....
[INFO] 2021-01-16 02:28:00 > Calculate Accuracies....
[INFO] 2021-01-16 02:28:02 > F_8 score (Step: 98000, Using valid images): 0.6822579416204465
[INFO] 2021-01-16 02:28:02 > F_1/8 score (Step: 98000, Using valid images): 0.457975641459852
[INFO] 2021-01-16 02:28:02 > FID score (Step: 98000, Using valid moments): 176.29529356202346
[INFO] 2021-01-16 02:28:02 > Inception score (Step: 98000, 10000 generated images): 5.9365692138671875
[INFO] 2021-01-16 02:28:02 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 02:28:03 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 02:28:52 > Step:   98100 Progress: 98.1% Elapsed: 14:28:41 temperature: no ada_p: No Discriminator_loss: 0.070777 Generator_loss: 2.68519 
[INFO] 2021-01-16 02:29:41 > Step:   98200 Progress: 98.2% Elapsed: 14:29:30 temperature: no ada_p: No Discriminator_loss: 0.100965 Generator_loss: 3.14592 
[INFO] 2021-01-16 02:30:31 > Step:   98300 Progress: 98.3% Elapsed: 14:30:19 temperature: no ada_p: No Discriminator_loss: 0.150871 Generator_loss: 3.08166 
[INFO] 2021-01-16 02:31:19 > Step:   98400 Progress: 98.4% Elapsed: 14:31:08 temperature: no ada_p: No Discriminator_loss: 0.341575 Generator_loss: 4.66707 
[INFO] 2021-01-16 02:32:08 > Step:   98500 Progress: 98.5% Elapsed: 14:31:57 temperature: no ada_p: No Discriminator_loss: 0.0914917 Generator_loss: 2.47152 
[INFO] 2021-01-16 02:32:57 > Step:   98600 Progress: 98.6% Elapsed: 14:32:46 temperature: no ada_p: No Discriminator_loss: 0.187898 Generator_loss: 3.78028 
[INFO] 2021-01-16 02:33:47 > Step:   98700 Progress: 98.7% Elapsed: 14:33:36 temperature: no ada_p: No Discriminator_loss: 0.210278 Generator_loss: 3.70649 
[INFO] 2021-01-16 02:34:36 > Step:   98800 Progress: 98.8% Elapsed: 14:34:25 temperature: no ada_p: No Discriminator_loss: 0.0745519 Generator_loss: 2.23961 
[INFO] 2021-01-16 02:35:25 > Step:   98900 Progress: 98.9% Elapsed: 14:35:14 temperature: no ada_p: No Discriminator_loss: 0.0665324 Generator_loss: 3.27327 
[INFO] 2021-01-16 02:36:14 > Step:   99000 Progress: 99.0% Elapsed: 14:36:03 temperature: no ada_p: No Discriminator_loss: 0.0596159 Generator_loss: 3.11312 
[INFO] 2021-01-16 02:37:03 > Step:   99100 Progress: 99.1% Elapsed: 14:36:52 temperature: no ada_p: No Discriminator_loss: 0.137778 Generator_loss: 3.03098 
[INFO] 2021-01-16 02:37:52 > Step:   99200 Progress: 99.2% Elapsed: 14:37:41 temperature: no ada_p: No Discriminator_loss: 0.0946376 Generator_loss: 3.48636 
[INFO] 2021-01-16 02:38:41 > Step:   99300 Progress: 99.3% Elapsed: 14:38:30 temperature: no ada_p: No Discriminator_loss: 0.306428 Generator_loss: 4.60173 
[INFO] 2021-01-16 02:39:30 > Step:   99400 Progress: 99.4% Elapsed: 14:39:19 temperature: no ada_p: No Discriminator_loss: 0.0373881 Generator_loss: 2.09961 
[INFO] 2021-01-16 02:40:20 > Step:   99500 Progress: 99.5% Elapsed: 14:40:09 temperature: no ada_p: No Discriminator_loss: 0.0920744 Generator_loss: 2.91728 
[INFO] 2021-01-16 02:41:09 > Step:   99600 Progress: 99.6% Elapsed: 14:40:58 temperature: no ada_p: No Discriminator_loss: 1.04253 Generator_loss: 4.70757 
[INFO] 2021-01-16 02:41:58 > Step:   99700 Progress: 99.7% Elapsed: 14:41:46 temperature: no ada_p: No Discriminator_loss: 0.413131 Generator_loss: 4.2098 
[INFO] 2021-01-16 02:42:47 > Step:   99800 Progress: 99.8% Elapsed: 14:42:35 temperature: no ada_p: No Discriminator_loss: 0.200031 Generator_loss: 3.9549 
[INFO] 2021-01-16 02:43:36 > Step:   99900 Progress: 99.9% Elapsed: 14:43:25 temperature: no ada_p: No Discriminator_loss: 0.115291 Generator_loss: 3.28919 
[INFO] 2021-01-16 02:44:25 > Step:  100000 Progress: 100.0% Elapsed: 14:44:14 temperature: no ada_p: No Discriminator_loss: 0.129051 Generator_loss: 3.10337 
[INFO] 2021-01-16 02:44:25 > Start Evaluation (100000 Step): ACGAN-train-2021_01_15_11_59_50
[INFO] 2021-01-16 02:44:25 > Calculating FID Score....
[INFO] 2021-01-16 02:44:46 > Calculating Inception Score....
[INFO] 2021-01-16 02:44:59 > Calculate F_beta Score....
[INFO] 2021-01-16 02:45:37 > Calculate Accuracies....
[INFO] 2021-01-16 02:45:42 > Calculate Accuracies....
[INFO] 2021-01-16 02:45:44 > F_8 score (Step: 100000, Using valid images): 0.6984368803399412
[INFO] 2021-01-16 02:45:44 > F_1/8 score (Step: 100000, Using valid images): 0.35774450374406436
[INFO] 2021-01-16 02:45:44 > FID score (Step: 100000, Using valid moments): 171.39110423460545
[INFO] 2021-01-16 02:45:44 > Inception score (Step: 100000, 10000 generated images): 5.369877338409424
[INFO] 2021-01-16 02:45:44 > Best FID score (Step: 6000, Using valid moments): 78.51318272528101
[INFO] 2021-01-16 02:45:45 > Save model to checkpoints/ACGAN-train-2021_01_15_11_59_50